From c9471d15a89bc790b4c09614d057e552495fcf02 Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Mon, 29 Jun 2026 18:10:29 -0600 Subject: [PATCH 01/67] dev section fillout & cleanup --- docs/content/{ => deleteme}/developers.md | 0 .../compilation-from-source.md | 0 docs/content/developers/environment-setup.md | 99 +++++++++++++++++++ .../content/{ => developers}/how-to-update.md | 0 .../{ => developers}/release-process.md | 0 docs/content/installation.md | 7 +- docs/myst.yml | 7 +- 7 files changed, 106 insertions(+), 7 deletions(-) rename docs/content/{ => deleteme}/developers.md (100%) rename docs/content/{ => developers}/compilation-from-source.md (100%) create mode 100644 docs/content/developers/environment-setup.md rename docs/content/{ => developers}/how-to-update.md (100%) rename docs/content/{ => developers}/release-process.md (100%) diff --git a/docs/content/developers.md b/docs/content/deleteme/developers.md similarity index 100% rename from docs/content/developers.md rename to docs/content/deleteme/developers.md diff --git a/docs/content/compilation-from-source.md b/docs/content/developers/compilation-from-source.md similarity index 100% rename from docs/content/compilation-from-source.md rename to docs/content/developers/compilation-from-source.md diff --git a/docs/content/developers/environment-setup.md b/docs/content/developers/environment-setup.md new file mode 100644 index 000000000..13c1741a7 --- /dev/null +++ b/docs/content/developers/environment-setup.md @@ -0,0 +1,99 @@ +# Environment Setup + +A few options exist for environment setup: +1. [Pixi (recommended)](#1-pixi) +2. [Anaconda](#2-anaconda) +2. [Custom](#3-custom) + +## 1. Pixi +[Pixi](https://pixi.prefix.dev/latest/) is a tool that ensures environment hygiene and reproducibility. FASTSim has an established setup for +Pixi that you can take advantage of to quickly get started. + +### Pixi Installation + +Full installation instructions are available in the pixi docs: +[https://pixi.prefix.dev/latest/installation/](https://pixi.prefix.dev/latest/installation/) + +After installation, confirm pixi is available in a fresh terminal: + +```sh +pixi --version +``` + +### Environment Installation + +From the repository root, install FASTSim and development dependencies: + +```sh +pixi install -e dev +``` + +The `dev` Pixi environment installs FASTSim, the Rust compiler, testing dependencies, and other conveniences. If these are not necessary, see the `pyproject.toml` file for other options. + +### Environment Usage + +To use the environment in a terminal: + +- Run individual commands: + +```sh +pixi run -e dev +``` + +- Or, activate an interactive shell: + +```sh +pixi shell -e dev +``` + +See the Pixi documentation or run `pixi --help` for more usage information. The [direnv](https://direnv.net) tool automates launching a shell for you, and FASTSim has a preconfigured `.envrc` file. + +### direnv: Automatic Environment Activation + +If you use direnv, you can auto-load the pixi dev environment when entering this repository. + +Setup: + +1. Install direnv: [https://direnv.net/docs/installation.html](https://direnv.net/docs/installation.html) +2. Enable the hook for your shell (see [direnv docs](https://direnv.net/docs/hook.html)). +3. Allow `direnv` to run `.envrc`: + ```sh + direnv allow + ``` + +After that, entering the directory will auto-activate the pixi `dev` environment. Messages about environment variables can be suppressed by creating `~/.config/direnv/direnv.toml` containing the line: +```toml +hide_env_diff = true +``` + +## 2. Anaconda + +Anaconda users can easily install Rust using the conda-forge `rust` package + +1. Create a new environment with Python and Rust + ``` + conda create -n fastsim python=3.12 rust -c conda-forge + ``` + +2. Activate the new environment + ``` + conda activate + ``` + +2. From the repository root, install FASTSim and development dependencies: + + ```sh + pip install --group dev -e . + ``` + +## 3. Custom + +If you do not want to use Pixi or Anaconda, install Rust and Python dependencies manually. + +1. Install Rust system-wide: [https://www.rust-lang.org/tools/install](https://www.rust-lang.org/tools/install) +2. Create and activate a Python environment (using your environment manager of choice). +3. From the repository root, install FASTSim and development dependencies: + + ```sh + pip install --group dev -e . + ``` diff --git a/docs/content/how-to-update.md b/docs/content/developers/how-to-update.md similarity index 100% rename from docs/content/how-to-update.md rename to docs/content/developers/how-to-update.md diff --git a/docs/content/release-process.md b/docs/content/developers/release-process.md similarity index 100% rename from docs/content/release-process.md rename to docs/content/developers/release-process.md diff --git a/docs/content/installation.md b/docs/content/installation.md index 34a4847af..23555775d 100644 --- a/docs/content/installation.md +++ b/docs/content/installation.md @@ -32,12 +32,11 @@ toolchain is the only prerequisite you need to set up yourself. pip install . ``` -For an editable install that also includes the development dependencies, run -`pip install -e ".[dev]"` from the repository root instead. Source changes are -then picked up the next time FASTSim is imported. + - Add the editable `-e` flag to detect source changes each time FASTSim is imported. + - Add the `--group dev` flag to install optional developer dependencies. Building from source is not necessary for most use cases. For more detail on -the developer build, see [Compilation from Source](compilation-from-source.md). +the developer build, see [Compilation from Source](developers/compilation-from-source.md). ## Next Steps diff --git a/docs/myst.yml b/docs/myst.yml index e41a06726..f63b6afdf 100644 --- a/docs/myst.yml +++ b/docs/myst.yml @@ -51,9 +51,10 @@ project: - file: demo_notebooks/vehicle_controls/demo_cruise_and_coast.ipynb - title: Developers children: - - file: content/compilation-from-source.md - - file: content/release-process.md - - file: content/how-to-update.md + - file: content/developers/environment-setup.md + - file: content/developers/compilation-from-source.md + - file: content/developers/release-process.md + - file: content/developers/how-to-update.md - url: https://docs.rs/fastsim-core/latest/fastsim_core/ title: Rust API Documentation - url: https://github.com/NatLabRockies/fastsim/releases From e941efec33747681129dda1cc82fd85945a417af Mon Sep 17 00:00:00 2001 From: Kyle Carow <40699307+kylecarow@users.noreply.github.com> Date: Thu, 2 Jul 2026 15:40:06 -0600 Subject: [PATCH 02/67] Clarify Anaconda environment setup instructions Updated Anaconda setup instructions to specify environment name and include pip upgrade. --- docs/content/developers/environment-setup.md | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/docs/content/developers/environment-setup.md b/docs/content/developers/environment-setup.md index 13c1741a7..a1b16ad93 100644 --- a/docs/content/developers/environment-setup.md +++ b/docs/content/developers/environment-setup.md @@ -70,19 +70,20 @@ hide_env_diff = true Anaconda users can easily install Rust using the conda-forge `rust` package -1. Create a new environment with Python and Rust +1. Create a new environment with Python and Rust (e.g. named `fastsim`) ``` conda create -n fastsim python=3.12 rust -c conda-forge ``` 2. Activate the new environment ``` - conda activate + conda activate fastsim ``` 2. From the repository root, install FASTSim and development dependencies: ```sh + pip install --upgrade pip pip install --group dev -e . ``` From 9b0904af3efaa3185c145c52818eb2809544fa4f Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Fri, 3 Jul 2026 08:10:46 -0600 Subject: [PATCH 03/67] added note about conda install from pixi.lock --- docs/content/developers/environment-setup.md | 29 +++++++++++++++++++- 1 file changed, 28 insertions(+), 1 deletion(-) diff --git a/docs/content/developers/environment-setup.md b/docs/content/developers/environment-setup.md index a1b16ad93..1d7fbc0bd 100644 --- a/docs/content/developers/environment-setup.md +++ b/docs/content/developers/environment-setup.md @@ -72,7 +72,7 @@ Anaconda users can easily install Rust using the conda-forge `rust` package 1. Create a new environment with Python and Rust (e.g. named `fastsim`) ``` - conda create -n fastsim python=3.12 rust -c conda-forge + conda create --name fastsim python=3.12 rust -c conda-forge ``` 2. Activate the new environment @@ -87,6 +87,33 @@ Anaconda users can easily install Rust using the conda-forge `rust` package pip install --group dev -e . ``` +:::{note} +This section suggests dependencies independent of the `pyproject.toml`, so may become outdated. + +As of writing, a way to build an Anaconda environment from `pixi.lock` using +the [`conda-lockfiles` plugin](https://github.com/conda/conda-lockfiles) is nearly supported: + +```console +conda install --name base conda-forge::conda-lockfiles +``` + +``` +conda env create --name fastsim --file pixi.lock +``` + +However, this plugin only supports `pixi.lock` version 6, while version 7 released in [May 2026](https://pixi.prefix.dev/latest/CHANGELOG/#0680-2026-05-07). + +Output: +``` +PluginError: Failed to parse environment specification from file: field 'version': Input should be less than or equal to 6 +``` + +Relevant links: +- https://github.com/conda/conda-lockfiles/pull/143 +- https://github.com/conda/conda-lockfiles/issues/44 +::: + + ## 3. Custom If you do not want to use Pixi or Anaconda, install Rust and Python dependencies manually. From 160a55455e581ad96d221e1adb429cce02bcdd93 Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Thu, 9 Jul 2026 09:20:58 -0600 Subject: [PATCH 04/67] restructure docs, add some tag ability to demos_to_notebooks, fill out drive cycle section --- docs/content/custom-vehicles.md | 2 +- docs/content/label-fe.md | 5 - ...custom-cycles.md => label-fuel-economy.md} | 2 +- docs/content/simdrive.md | 5 + docs/content/telematics.md | 21 ++ docs/content/vehicle-model.md | 5 - .../demo_advanced_coasting.ipynb | 2 +- .../demo_basic_coasting.ipynb | 2 +- .../{powertrains => }/demo_bev.ipynb | 2 +- .../{thermal => }/demo_bev_thrml_cs_ca.ipynb | 2 +- .../{thermal => }/demo_bev_thrml_sweep.ipynb | 2 +- .../{thermal => }/demo_bev_thrml_ws_ca.ipynb | 2 +- .../{thermal => }/demo_bev_thrml_ws_wa.ipynb | 2 +- .../demo_coast_with_grade.ipynb | 2 +- .../{powertrains => }/demo_conv.ipynb | 2 +- .../demo_cruise_and_coast.ipynb | 2 +- .../{vehicle_controls => }/demo_dfco.ipynb | 2 +- docs/demo_notebooks/demo_drive_cycle.ipynb | 277 ++++++++++++++++++ .../demo_eco_cruise.ipynb | 2 +- .../demo_getting_started.ipynb | 4 +- .../{powertrains => }/demo_hev.ipynb | 2 +- .../{thermal => }/demo_hev_thrml_cs_ca.ipynb | 2 +- .../{thermal => }/demo_hev_thrml_ws_ca.ipynb | 2 +- .../{thermal => }/demo_hev_thrml_ws_wa.ipynb | 2 +- .../demo_maneuver_intro.ipynb | 2 +- .../demo_microtrips.ipynb | 2 +- .../demo_stop_start.ipynb | 2 +- .../demo_trace_miss.ipynb | 2 +- docs/demo_notebooks/demo_vehicle.ipynb | 36 +++ .../demo_advanced_coasting.py | 0 .../demo_basic_coasting.py | 0 .../{powertrains => }/demo_bev.py | 0 .../{thermal => }/demo_bev_thrml_cs_ca.py | 0 .../{thermal => }/demo_bev_thrml_sweep.py | 0 .../{thermal => }/demo_bev_thrml_ws_ca.py | 0 .../{thermal => }/demo_bev_thrml_ws_wa.py | 0 .../demo_coast_with_grade.py | 0 .../{powertrains => }/demo_conv.py | 0 .../demo_cruise_and_coast.py | 0 .../{vehicle_controls => }/demo_dfco.py | 0 docs/demo_scripts/demo_drive_cycle.py | 170 +++++++++++ .../{vehicle_controls => }/demo_eco_cruise.py | 0 .../demo_getting_started.py | 2 +- .../{powertrains => }/demo_hev.py | 0 .../{thermal => }/demo_hev_thrml_cs_ca.py | 0 .../{thermal => }/demo_hev_thrml_ws_ca.py | 0 .../{thermal => }/demo_hev_thrml_ws_wa.py | 0 .../demo_maneuver_intro.py | 0 .../{vehicle_controls => }/demo_microtrips.py | 0 .../{vehicle_controls => }/demo_stop_start.py | 0 .../{vehicle_controls => }/demo_trace_miss.py | 0 docs/demo_scripts/demo_vehicle.py | 7 + docs/demo_scripts/plot_utils.py | 2 - docs/demos_to_notebooks.py | 53 +++- docs/myst.yml | 83 +++--- pixi.lock | 49 ++++ pyproject.toml | 2 +- python/fastsim/__init__.py | 45 +++ python/fastsim/fastsim.pyi | 2 + 59 files changed, 734 insertions(+), 78 deletions(-) delete mode 100644 docs/content/label-fe.md rename docs/content/{custom-cycles.md => label-fuel-economy.md} (64%) create mode 100644 docs/content/simdrive.md create mode 100644 docs/content/telematics.md delete mode 100644 docs/content/vehicle-model.md rename docs/demo_notebooks/{vehicle_controls => }/demo_advanced_coasting.ipynb (98%) rename docs/demo_notebooks/{vehicle_controls => }/demo_basic_coasting.ipynb (97%) rename docs/demo_notebooks/{powertrains => }/demo_bev.ipynb (99%) rename docs/demo_notebooks/{thermal => }/demo_bev_thrml_cs_ca.ipynb (98%) rename docs/demo_notebooks/{thermal => }/demo_bev_thrml_sweep.ipynb (99%) rename docs/demo_notebooks/{thermal => }/demo_bev_thrml_ws_ca.ipynb (98%) rename docs/demo_notebooks/{thermal => }/demo_bev_thrml_ws_wa.ipynb (98%) rename docs/demo_notebooks/{vehicle_controls => }/demo_coast_with_grade.ipynb (98%) rename docs/demo_notebooks/{powertrains => }/demo_conv.ipynb (99%) rename docs/demo_notebooks/{vehicle_controls => }/demo_cruise_and_coast.ipynb (98%) rename docs/demo_notebooks/{vehicle_controls => }/demo_dfco.ipynb (99%) create mode 100644 docs/demo_notebooks/demo_drive_cycle.ipynb rename docs/demo_notebooks/{vehicle_controls => }/demo_eco_cruise.ipynb (98%) rename docs/demo_notebooks/{getting_started => }/demo_getting_started.ipynb (98%) rename docs/demo_notebooks/{powertrains => }/demo_hev.ipynb (99%) rename docs/demo_notebooks/{thermal => }/demo_hev_thrml_cs_ca.ipynb (98%) rename docs/demo_notebooks/{thermal => }/demo_hev_thrml_ws_ca.ipynb (98%) rename docs/demo_notebooks/{thermal => }/demo_hev_thrml_ws_wa.ipynb (98%) rename docs/demo_notebooks/{vehicle_controls => }/demo_maneuver_intro.ipynb (98%) rename docs/demo_notebooks/{vehicle_controls => }/demo_microtrips.ipynb (97%) rename docs/demo_notebooks/{vehicle_controls => }/demo_stop_start.ipynb (99%) rename docs/demo_notebooks/{vehicle_controls => }/demo_trace_miss.ipynb (98%) create mode 100644 docs/demo_notebooks/demo_vehicle.ipynb rename docs/demo_scripts/{vehicle_controls => }/demo_advanced_coasting.py (100%) rename docs/demo_scripts/{vehicle_controls => }/demo_basic_coasting.py (100%) rename docs/demo_scripts/{powertrains => }/demo_bev.py (100%) rename docs/demo_scripts/{thermal => }/demo_bev_thrml_cs_ca.py (100%) rename docs/demo_scripts/{thermal => }/demo_bev_thrml_sweep.py (100%) rename docs/demo_scripts/{thermal => }/demo_bev_thrml_ws_ca.py (100%) rename docs/demo_scripts/{thermal => }/demo_bev_thrml_ws_wa.py (100%) rename docs/demo_scripts/{vehicle_controls => }/demo_coast_with_grade.py (100%) rename docs/demo_scripts/{powertrains => }/demo_conv.py (100%) rename docs/demo_scripts/{vehicle_controls => }/demo_cruise_and_coast.py (100%) rename docs/demo_scripts/{vehicle_controls => }/demo_dfco.py (100%) create mode 100644 docs/demo_scripts/demo_drive_cycle.py rename docs/demo_scripts/{vehicle_controls => }/demo_eco_cruise.py (100%) rename docs/demo_scripts/{getting_started => }/demo_getting_started.py (99%) rename docs/demo_scripts/{powertrains => }/demo_hev.py (100%) rename docs/demo_scripts/{thermal => }/demo_hev_thrml_cs_ca.py (100%) rename docs/demo_scripts/{thermal => }/demo_hev_thrml_ws_ca.py (100%) rename docs/demo_scripts/{thermal => }/demo_hev_thrml_ws_wa.py (100%) rename docs/demo_scripts/{vehicle_controls => }/demo_maneuver_intro.py (100%) rename docs/demo_scripts/{vehicle_controls => }/demo_microtrips.py (100%) rename docs/demo_scripts/{vehicle_controls => }/demo_stop_start.py (100%) rename docs/demo_scripts/{vehicle_controls => }/demo_trace_miss.py (100%) create mode 100644 docs/demo_scripts/demo_vehicle.py diff --git a/docs/content/custom-vehicles.md b/docs/content/custom-vehicles.md index ca6ac9a24..a9ce52609 100644 --- a/docs/content/custom-vehicles.md +++ b/docs/content/custom-vehicles.md @@ -1,4 +1,4 @@ -# Creating Custom Vehicle Models +# Modeling a Vehicle :::{note} 🚧 This page is under construction. It will become a demo notebook. diff --git a/docs/content/label-fe.md b/docs/content/label-fe.md deleted file mode 100644 index 1e9dee2e1..000000000 --- a/docs/content/label-fe.md +++ /dev/null @@ -1,5 +0,0 @@ -# Comparing to Label Fuel Economy - -:::{note} -🚧 This page is under construction. It will become a demo notebook. -::: diff --git a/docs/content/custom-cycles.md b/docs/content/label-fuel-economy.md similarity index 64% rename from docs/content/custom-cycles.md rename to docs/content/label-fuel-economy.md index 51d5b8497..56abf54d5 100644 --- a/docs/content/custom-cycles.md +++ b/docs/content/label-fuel-economy.md @@ -1,4 +1,4 @@ -# Creating Custom Drive Cycles +# Comparing Simulations to Label Fuel Economy :::{note} 🚧 This page is under construction. It will become a demo notebook. diff --git a/docs/content/simdrive.md b/docs/content/simdrive.md new file mode 100644 index 000000000..cce2afadf --- /dev/null +++ b/docs/content/simdrive.md @@ -0,0 +1,5 @@ +# What is a SimDrive Object? +## Combining a Vehicle and Drive Cycle + +In FASTSim, a `SimDrive` object is a combination of a `Vehicle` and a `Cycle`. In concept, it is combining *what a vehicle is* and *what the vehicle does* to create a simulation scenario. + diff --git a/docs/content/telematics.md b/docs/content/telematics.md new file mode 100644 index 000000000..e755b8ad8 --- /dev/null +++ b/docs/content/telematics.md @@ -0,0 +1,21 @@ +# Using Telematics Data + +Instead of using predefined regulatory drive cycles, we often wish to simulate vehicle models over real-world vehicle telematics data in order to validate vehicles models or exercise them in representative scenarios. + +Firstly, you will need a mapping of your telematics signals to FASTSim's drive cycle inputs. + +- Time: + - Often the simplest data to read from telematics. However, consider using [`pandas.resample`](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.resample.html) to resample data to 1 Hz, as this is the data frequency that FASTSim was designed for. + - Input: `time_seconds` +- Speed: + - Telematics data often has 'wheel-based' vehicle speed, as well as GNSS (GPS latitude/longitude) geospatial data. Speed can be derived from time series geospatial data using open-source geospatial Python libraries. + - Make sure to convert the speed into meters per second, below are conversion factors: + - 1 mph = 0.44704 m/s + - 1 km/h = 0.277778 m/s + - Input: `speed_meters_per_second` +- Grade + - Most telematics data does not include grade. To process grade signals from latitude/longitude, consider using the free and open-source tool [gradeit](https://github.com/NatLabRockies/gradeit) developed by NLR. + - FASTSim accepts grade as a unitless ratio of rise/run, rather than a percentage. If you are working with percent grade data, simply divide by 100. If you are working with degrees/radians, compute the tangent to get grade ($\textrm{grade}=y/x=tan(\theta)$). + - Input: `grade` + +The biggest challenge with simulating over telematics data is often data quality. For each input, be sure to thoroughly check for missing and erroneous values before relying on simulation results. The choice of which column to use is yours; try to pick the most robust signal or apply pre-processing to get high quality input data. diff --git a/docs/content/vehicle-model.md b/docs/content/vehicle-model.md deleted file mode 100644 index 401014217..000000000 --- a/docs/content/vehicle-model.md +++ /dev/null @@ -1,5 +0,0 @@ -# The FASTSim Vehicle Model - -:::{note} -🚧 This page is under construction. -::: diff --git a/docs/demo_notebooks/vehicle_controls/demo_advanced_coasting.ipynb b/docs/demo_notebooks/demo_advanced_coasting.ipynb similarity index 98% rename from docs/demo_notebooks/vehicle_controls/demo_advanced_coasting.ipynb rename to docs/demo_notebooks/demo_advanced_coasting.ipynb index edc6da0ff..1ab40b22f 100644 --- a/docs/demo_notebooks/vehicle_controls/demo_advanced_coasting.ipynb +++ b/docs/demo_notebooks/demo_advanced_coasting.ipynb @@ -147,7 +147,7 @@ "id": "cell-10", "metadata": {}, "source": [ - "*Source: `fastsim/docs/demo_scripts/vehicle_controls/demo_advanced_coasting.py`*" + "*Source: `fastsim/docs/demo_scripts/demo_advanced_coasting.py`*" ] } ], diff --git a/docs/demo_notebooks/vehicle_controls/demo_basic_coasting.ipynb b/docs/demo_notebooks/demo_basic_coasting.ipynb similarity index 97% rename from docs/demo_notebooks/vehicle_controls/demo_basic_coasting.ipynb rename to docs/demo_notebooks/demo_basic_coasting.ipynb index d058b898f..169db83d8 100644 --- a/docs/demo_notebooks/vehicle_controls/demo_basic_coasting.ipynb +++ b/docs/demo_notebooks/demo_basic_coasting.ipynb @@ -145,7 +145,7 @@ "id": "cell-10", "metadata": {}, "source": [ - "*Source: `fastsim/docs/demo_scripts/vehicle_controls/demo_basic_coasting.py`*" + "*Source: `fastsim/docs/demo_scripts/demo_basic_coasting.py`*" ] } ], diff --git a/docs/demo_notebooks/powertrains/demo_bev.ipynb b/docs/demo_notebooks/demo_bev.ipynb similarity index 99% rename from docs/demo_notebooks/powertrains/demo_bev.ipynb rename to docs/demo_notebooks/demo_bev.ipynb index b623219b0..61836b967 100644 --- a/docs/demo_notebooks/powertrains/demo_bev.ipynb +++ b/docs/demo_notebooks/demo_bev.ipynb @@ -280,7 +280,7 @@ "id": "cell-16", "metadata": {}, "source": [ - "*Source: `fastsim/docs/demo_scripts/powertrains/demo_bev.py`*" + "*Source: `fastsim/docs/demo_scripts/demo_bev.py`*" ] } ], diff --git a/docs/demo_notebooks/thermal/demo_bev_thrml_cs_ca.ipynb b/docs/demo_notebooks/demo_bev_thrml_cs_ca.ipynb similarity index 98% rename from docs/demo_notebooks/thermal/demo_bev_thrml_cs_ca.ipynb rename to docs/demo_notebooks/demo_bev_thrml_cs_ca.ipynb index dcd7bd37c..f5ab8f59d 100644 --- a/docs/demo_notebooks/thermal/demo_bev_thrml_cs_ca.ipynb +++ b/docs/demo_notebooks/demo_bev_thrml_cs_ca.ipynb @@ -178,7 +178,7 @@ "id": "cell-13", "metadata": {}, "source": [ - "*Source: `fastsim/docs/demo_scripts/thermal/demo_bev_thrml_cs_ca.py`*" + "*Source: `fastsim/docs/demo_scripts/demo_bev_thrml_cs_ca.py`*" ] } ], diff --git a/docs/demo_notebooks/thermal/demo_bev_thrml_sweep.ipynb b/docs/demo_notebooks/demo_bev_thrml_sweep.ipynb similarity index 99% rename from docs/demo_notebooks/thermal/demo_bev_thrml_sweep.ipynb rename to docs/demo_notebooks/demo_bev_thrml_sweep.ipynb index 5bcaf397e..8cbbc8945 100644 --- a/docs/demo_notebooks/thermal/demo_bev_thrml_sweep.ipynb +++ b/docs/demo_notebooks/demo_bev_thrml_sweep.ipynb @@ -452,7 +452,7 @@ "id": "cell-16", "metadata": {}, "source": [ - "*Source: `fastsim/docs/demo_scripts/thermal/demo_bev_thrml_sweep.py`*" + "*Source: `fastsim/docs/demo_scripts/demo_bev_thrml_sweep.py`*" ] } ], diff --git a/docs/demo_notebooks/thermal/demo_bev_thrml_ws_ca.ipynb b/docs/demo_notebooks/demo_bev_thrml_ws_ca.ipynb similarity index 98% rename from docs/demo_notebooks/thermal/demo_bev_thrml_ws_ca.ipynb rename to docs/demo_notebooks/demo_bev_thrml_ws_ca.ipynb index 1d912723c..f5130fabf 100644 --- a/docs/demo_notebooks/thermal/demo_bev_thrml_ws_ca.ipynb +++ b/docs/demo_notebooks/demo_bev_thrml_ws_ca.ipynb @@ -179,7 +179,7 @@ "id": "cell-13", "metadata": {}, "source": [ - "*Source: `fastsim/docs/demo_scripts/thermal/demo_bev_thrml_ws_ca.py`*" + "*Source: `fastsim/docs/demo_scripts/demo_bev_thrml_ws_ca.py`*" ] } ], diff --git a/docs/demo_notebooks/thermal/demo_bev_thrml_ws_wa.ipynb b/docs/demo_notebooks/demo_bev_thrml_ws_wa.ipynb similarity index 98% rename from docs/demo_notebooks/thermal/demo_bev_thrml_ws_wa.ipynb rename to docs/demo_notebooks/demo_bev_thrml_ws_wa.ipynb index edf6f8f99..524755ca7 100644 --- a/docs/demo_notebooks/thermal/demo_bev_thrml_ws_wa.ipynb +++ b/docs/demo_notebooks/demo_bev_thrml_ws_wa.ipynb @@ -179,7 +179,7 @@ "id": "cell-13", "metadata": {}, "source": [ - "*Source: `fastsim/docs/demo_scripts/thermal/demo_bev_thrml_ws_wa.py`*" + "*Source: `fastsim/docs/demo_scripts/demo_bev_thrml_ws_wa.py`*" ] } ], diff --git a/docs/demo_notebooks/vehicle_controls/demo_coast_with_grade.ipynb b/docs/demo_notebooks/demo_coast_with_grade.ipynb similarity index 98% rename from docs/demo_notebooks/vehicle_controls/demo_coast_with_grade.ipynb rename to docs/demo_notebooks/demo_coast_with_grade.ipynb index 3b2e2035f..3a452495b 100644 --- a/docs/demo_notebooks/vehicle_controls/demo_coast_with_grade.ipynb +++ b/docs/demo_notebooks/demo_coast_with_grade.ipynb @@ -156,7 +156,7 @@ "id": "cell-10", "metadata": {}, "source": [ - "*Source: `fastsim/docs/demo_scripts/vehicle_controls/demo_coast_with_grade.py`*" + "*Source: `fastsim/docs/demo_scripts/demo_coast_with_grade.py`*" ] } ], diff --git a/docs/demo_notebooks/powertrains/demo_conv.ipynb b/docs/demo_notebooks/demo_conv.ipynb similarity index 99% rename from docs/demo_notebooks/powertrains/demo_conv.ipynb rename to docs/demo_notebooks/demo_conv.ipynb index c33fe3e60..cf32f6c62 100644 --- a/docs/demo_notebooks/powertrains/demo_conv.ipynb +++ b/docs/demo_notebooks/demo_conv.ipynb @@ -288,7 +288,7 @@ "id": "cell-16", "metadata": {}, "source": [ - "*Source: `fastsim/docs/demo_scripts/powertrains/demo_conv.py`*" + "*Source: `fastsim/docs/demo_scripts/demo_conv.py`*" ] } ], diff --git a/docs/demo_notebooks/vehicle_controls/demo_cruise_and_coast.ipynb b/docs/demo_notebooks/demo_cruise_and_coast.ipynb similarity index 98% rename from docs/demo_notebooks/vehicle_controls/demo_cruise_and_coast.ipynb rename to docs/demo_notebooks/demo_cruise_and_coast.ipynb index 8cac00881..7c3143f51 100644 --- a/docs/demo_notebooks/vehicle_controls/demo_cruise_and_coast.ipynb +++ b/docs/demo_notebooks/demo_cruise_and_coast.ipynb @@ -165,7 +165,7 @@ "id": "cell-10", "metadata": {}, "source": [ - "*Source: `fastsim/docs/demo_scripts/vehicle_controls/demo_cruise_and_coast.py`*" + "*Source: `fastsim/docs/demo_scripts/demo_cruise_and_coast.py`*" ] } ], diff --git a/docs/demo_notebooks/vehicle_controls/demo_dfco.ipynb b/docs/demo_notebooks/demo_dfco.ipynb similarity index 99% rename from docs/demo_notebooks/vehicle_controls/demo_dfco.ipynb rename to docs/demo_notebooks/demo_dfco.ipynb index e9acb1ac3..604c7786b 100644 --- a/docs/demo_notebooks/vehicle_controls/demo_dfco.ipynb +++ b/docs/demo_notebooks/demo_dfco.ipynb @@ -255,7 +255,7 @@ "id": "cell-12", "metadata": {}, "source": [ - "*Source: `fastsim/docs/demo_scripts/vehicle_controls/demo_dfco.py`*" + "*Source: `fastsim/docs/demo_scripts/demo_dfco.py`*" ] } ], diff --git a/docs/demo_notebooks/demo_drive_cycle.ipynb b/docs/demo_notebooks/demo_drive_cycle.ipynb new file mode 100644 index 000000000..a4336dfd6 --- /dev/null +++ b/docs/demo_notebooks/demo_drive_cycle.ipynb @@ -0,0 +1,277 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "cell-0", + "metadata": {}, + "source": [ + "# What Is a Drive Cycle?\n", + "\n", + "A drive cycle is time series data that describes how a vehicle is driven.\n", + "At minimum, it includes speed over time, but can also include\n", + "road grade, ambient air temperature, or other time-varying quantities.\n", + "\n", + "FASTSim simulates a vehicle model over each time step of the drive cycle\n", + "to compute the vehicle's response, including speed, acceleration, and power demand." + ] + }, + { + "cell_type": "markdown", + "id": "cell-1", + "metadata": {}, + "source": [ + "## Loading a Drive Cycle from Resources\n", + "\n", + "This example uses HWFET (Highway Fuel Economy Test), a regulatory drive\n", + "cycle used to evaluate highway fuel economy.\n", + "\n", + "For more information on HWFET and other regulatory drive cycles, see: \n", + "https://www.epa.gov/vehicle-and-fuel-emissions-testing/dynamometer-drive-schedules" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cell-2", + "metadata": {}, + "outputs": [], + "source": [ + "import fastsim\n", + "cyc = fastsim.Cycle.from_resource(\"hwfet.csv\")" + ] + }, + { + "cell_type": "markdown", + "id": "cell-3", + "metadata": {}, + "source": [ + "A full list of drive cycles available in FASTSim's resources can be printed:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cell-4", + "metadata": {}, + "outputs": [], + "source": [ + "fastsim.Cycle.list_resources()" + ] + }, + { + "cell_type": "markdown", + "id": "cell-5", + "metadata": {}, + "source": [ + "## Visualizing a Drive Cycle\n", + "\n", + "FASTSim has convenience functions for visualizing drive cycles." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cell-6", + "metadata": {}, + "outputs": [], + "source": [ + "# Default: x=`time_seconds`, y=`speed_meters_per_second`\n", + "fig = cyc.plot()\n", + "\n", + "# Try also:\n", + "# - cyc.plot(x=\"dist_meters\")\n", + "# - cyc.plot(y=\"grade\")\n", + "# - cyc.plot(x=\"dist_meters\", y=\"grade\")" + ] + }, + { + "cell_type": "markdown", + "id": "cell-7", + "metadata": {}, + "source": [ + "In FASTSim, drive cycles represent all data that vary over time.\n", + "\n", + "The following are inputs to FASTSim drive cycles:\n", + "- Time\n", + " - `time_seconds`\n", + "- Vehicle speed\n", + " - `speed_meters_per_second`\n", + "- Road grade\n", + " - `grade`\n", + "- Ambient air temperature\n", + " - `temp_amb_air_kelvin`\n", + " - Only affects thermal vehicle models\n", + "\n", + "FASTSim automatically derives the following from a drive cycle:\n", + "- Distance\n", + " - `dist_meters`\n", + " - Accumulated from vehicle speed\n", + "- Elevation\n", + " - `elev_meters`\n", + " - Accumulated from grade and distance\n", + " - Initial elevation\n", + " - `init_elev_meters` defaults to 121.92 m (400 ft)" + ] + }, + { + "cell_type": "markdown", + "id": "cell-8", + "metadata": {}, + "source": [ + "## Defining Custom Drive Cycles\n", + "\n", + "Drive cycles can be loaded from a variety of file types:\n", + "- `.csv` CSV files (like the above example)\n", + "- `.json` JSON files\n", + "- `.msgpack` MessagePack files\n", + "- `.toml` TOML files\n", + "- `.yaml` YAML files\n", + "\n", + "Here is a small example of a custom drive cycle file:\n", + "\n", + "`custom_cycle.csv`\n", + "```csv\n", + "time_seconds,speed_meters_per_second,grade\n", + "0,0,0\n", + "1,0,0\n", + "2,0,0\n", + "3,0,0\n", + "4,0,0\n", + "5,0.5,0\n", + "6,0.75,0\n", + "7,1,0\n", + "8,1.25,0\n", + "9,1.5,0\n", + "10,1.75,0\n", + "11,2,0\n", + "12,3,0\n", + "13,4,0\n", + "14,6,0\n", + "15,8,0\n", + "16,10,0\n", + "17,12,0\n", + "18,14,0\n", + "19,16,0\n", + "20,14,0\n", + "21,12,0\n", + "22,10,0\n", + "23,8,0\n", + "24,6,0\n", + "25,4,0\n", + "26,2,0\n", + "27,0,0\n", + "28,0,0\n", + "29,0,0\n", + "30,0,0\n", + "```\n", + "\n", + "To load this, you can use `fastsim.Cycle.from_file`:\n", + "\n", + "```python\n", + "cyc_custom = fastsim.Cycle.from_file(\"custom_cycle.csv\")\n", + "```" + ] + }, + { + "cell_type": "markdown", + "id": "cell-9", + "metadata": {}, + "source": [ + "## Accessing Drive Cycle Fields at Runtime\n", + "\n", + "Drive cycle fields can be accessed at runtime by converting the `Cycle` object to a Python dictionary.\n", + "Each key corresponds to a field name, and many values are lists of data points over time." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cell-10", + "metadata": {}, + "outputs": [], + "source": [ + "# Convert a Cycle to a Python dictionary\n", + "cyc_dict = cyc.to_pydict()\n", + "print(cyc_dict.keys())\n", + "print(cyc_dict)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cell-11", + "metadata": {}, + "outputs": [], + "source": [ + "# Iterate over the time, speed, and grade fields and print them\n", + "# Limit to 10 values\n", + "for time, speed, grade in list(zip(cyc_dict[\"time_seconds\"], cyc_dict[\"speed_meters_per_second\"], cyc_dict[\"grade\"]))[:10]:\n", + " print(f\"Time [s]: {time}, Speed [m/s]: {speed}, Grade: {grade}\")\n", + "print(\"...\")" + ] + }, + { + "cell_type": "markdown", + "id": "cell-12", + "metadata": {}, + "source": [ + "# Editing Drive Cycle Fields at Runtime" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cell-13", + "metadata": {}, + "outputs": [], + "source": [ + "# Modify the speed field (double the speed) in the drive cycle dictionary\n", + "cyc_dict[\"speed_meters_per_second\"] = [s * 2 for s in cyc_dict[\"speed_meters_per_second\"]]\n", + "print(\"Updated speed [m/s]: \", cyc_dict[\"speed_meters_per_second\"][:10])\n", + "\n", + "# Modify the ambient temperature to be 22 °C\n", + "cyc_dict[\"temp_amb_air_kelvin\"] = [22 + 273.15] * len(cyc_dict[\"temp_amb_air_kelvin\"])\n", + "print(\"Updated ambient temperature [K]: \", cyc_dict[\"temp_amb_air_kelvin\"][:10])" + ] + }, + { + "cell_type": "markdown", + "id": "cell-14", + "metadata": {}, + "source": [ + "After making changes to the cycle dictionary, be sure to convert it back to a FASTSim `Cycle` before using it in simulation." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cell-15", + "metadata": {}, + "outputs": [], + "source": [ + "# Convert the cycle dictionary back into a FASTSim Cycle\n", + "cyc = fastsim.Cycle.from_pydict(cyc_dict)" + ] + }, + { + "cell_type": "markdown", + "id": "cell-16", + "metadata": {}, + "source": [ + "*Source: `fastsim/docs/demo_scripts/demo_drive_cycle.py`*" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "name": "python" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/demo_notebooks/vehicle_controls/demo_eco_cruise.ipynb b/docs/demo_notebooks/demo_eco_cruise.ipynb similarity index 98% rename from docs/demo_notebooks/vehicle_controls/demo_eco_cruise.ipynb rename to docs/demo_notebooks/demo_eco_cruise.ipynb index bf691a2ab..fafd84a9f 100644 --- a/docs/demo_notebooks/vehicle_controls/demo_eco_cruise.ipynb +++ b/docs/demo_notebooks/demo_eco_cruise.ipynb @@ -150,7 +150,7 @@ "id": "cell-10", "metadata": {}, "source": [ - "*Source: `fastsim/docs/demo_scripts/vehicle_controls/demo_eco_cruise.py`*" + "*Source: `fastsim/docs/demo_scripts/demo_eco_cruise.py`*" ] } ], diff --git a/docs/demo_notebooks/getting_started/demo_getting_started.ipynb b/docs/demo_notebooks/demo_getting_started.ipynb similarity index 98% rename from docs/demo_notebooks/getting_started/demo_getting_started.ipynb rename to docs/demo_notebooks/demo_getting_started.ipynb index f7f7c1c45..ef6874b59 100644 --- a/docs/demo_notebooks/getting_started/demo_getting_started.ipynb +++ b/docs/demo_notebooks/demo_getting_started.ipynb @@ -5,7 +5,7 @@ "id": "cell-0", "metadata": {}, "source": [ - "# Getting Started with FASTSim\n", + "# Getting Started\n", "\n", "This demo walks through the core FASTSim workflow: loading a vehicle,\n", "loading a drive cycle, running a simulation, and inspecting the results." @@ -324,7 +324,7 @@ "id": "cell-22", "metadata": {}, "source": [ - "*Source: `fastsim/docs/demo_scripts/getting_started/demo_getting_started.py`*" + "*Source: `fastsim/docs/demo_scripts/demo_getting_started.py`*" ] } ], diff --git a/docs/demo_notebooks/powertrains/demo_hev.ipynb b/docs/demo_notebooks/demo_hev.ipynb similarity index 99% rename from docs/demo_notebooks/powertrains/demo_hev.ipynb rename to docs/demo_notebooks/demo_hev.ipynb index e748aa96c..da0f5716e 100644 --- a/docs/demo_notebooks/powertrains/demo_hev.ipynb +++ b/docs/demo_notebooks/demo_hev.ipynb @@ -454,7 +454,7 @@ "id": "cell-22", "metadata": {}, "source": [ - "*Source: `fastsim/docs/demo_scripts/powertrains/demo_hev.py`*" + "*Source: `fastsim/docs/demo_scripts/demo_hev.py`*" ] } ], diff --git a/docs/demo_notebooks/thermal/demo_hev_thrml_cs_ca.ipynb b/docs/demo_notebooks/demo_hev_thrml_cs_ca.ipynb similarity index 98% rename from docs/demo_notebooks/thermal/demo_hev_thrml_cs_ca.ipynb rename to docs/demo_notebooks/demo_hev_thrml_cs_ca.ipynb index f619a8982..6e8e18015 100644 --- a/docs/demo_notebooks/thermal/demo_hev_thrml_cs_ca.ipynb +++ b/docs/demo_notebooks/demo_hev_thrml_cs_ca.ipynb @@ -191,7 +191,7 @@ "id": "cell-14", "metadata": {}, "source": [ - "*Source: `fastsim/docs/demo_scripts/thermal/demo_hev_thrml_cs_ca.py`*" + "*Source: `fastsim/docs/demo_scripts/demo_hev_thrml_cs_ca.py`*" ] } ], diff --git a/docs/demo_notebooks/thermal/demo_hev_thrml_ws_ca.ipynb b/docs/demo_notebooks/demo_hev_thrml_ws_ca.ipynb similarity index 98% rename from docs/demo_notebooks/thermal/demo_hev_thrml_ws_ca.ipynb rename to docs/demo_notebooks/demo_hev_thrml_ws_ca.ipynb index c81a1f18c..fa267321e 100644 --- a/docs/demo_notebooks/thermal/demo_hev_thrml_ws_ca.ipynb +++ b/docs/demo_notebooks/demo_hev_thrml_ws_ca.ipynb @@ -194,7 +194,7 @@ "id": "cell-14", "metadata": {}, "source": [ - "*Source: `fastsim/docs/demo_scripts/thermal/demo_hev_thrml_ws_ca.py`*" + "*Source: `fastsim/docs/demo_scripts/demo_hev_thrml_ws_ca.py`*" ] } ], diff --git a/docs/demo_notebooks/thermal/demo_hev_thrml_ws_wa.ipynb b/docs/demo_notebooks/demo_hev_thrml_ws_wa.ipynb similarity index 98% rename from docs/demo_notebooks/thermal/demo_hev_thrml_ws_wa.ipynb rename to docs/demo_notebooks/demo_hev_thrml_ws_wa.ipynb index d1924e450..670c173d0 100644 --- a/docs/demo_notebooks/thermal/demo_hev_thrml_ws_wa.ipynb +++ b/docs/demo_notebooks/demo_hev_thrml_ws_wa.ipynb @@ -192,7 +192,7 @@ "id": "cell-14", "metadata": {}, "source": [ - "*Source: `fastsim/docs/demo_scripts/thermal/demo_hev_thrml_ws_wa.py`*" + "*Source: `fastsim/docs/demo_scripts/demo_hev_thrml_ws_wa.py`*" ] } ], diff --git a/docs/demo_notebooks/vehicle_controls/demo_maneuver_intro.ipynb b/docs/demo_notebooks/demo_maneuver_intro.ipynb similarity index 98% rename from docs/demo_notebooks/vehicle_controls/demo_maneuver_intro.ipynb rename to docs/demo_notebooks/demo_maneuver_intro.ipynb index 4df0631fe..c97bda0b9 100644 --- a/docs/demo_notebooks/vehicle_controls/demo_maneuver_intro.ipynb +++ b/docs/demo_notebooks/demo_maneuver_intro.ipynb @@ -214,7 +214,7 @@ "id": "cell-14", "metadata": {}, "source": [ - "*Source: `fastsim/docs/demo_scripts/vehicle_controls/demo_maneuver_intro.py`*" + "*Source: `fastsim/docs/demo_scripts/demo_maneuver_intro.py`*" ] } ], diff --git a/docs/demo_notebooks/vehicle_controls/demo_microtrips.ipynb b/docs/demo_notebooks/demo_microtrips.ipynb similarity index 97% rename from docs/demo_notebooks/vehicle_controls/demo_microtrips.ipynb rename to docs/demo_notebooks/demo_microtrips.ipynb index baf6abcd6..48ae95c41 100644 --- a/docs/demo_notebooks/vehicle_controls/demo_microtrips.ipynb +++ b/docs/demo_notebooks/demo_microtrips.ipynb @@ -117,7 +117,7 @@ "id": "cell-7", "metadata": {}, "source": [ - "*Source: `fastsim/docs/demo_scripts/vehicle_controls/demo_microtrips.py`*" + "*Source: `fastsim/docs/demo_scripts/demo_microtrips.py`*" ] } ], diff --git a/docs/demo_notebooks/vehicle_controls/demo_stop_start.ipynb b/docs/demo_notebooks/demo_stop_start.ipynb similarity index 99% rename from docs/demo_notebooks/vehicle_controls/demo_stop_start.ipynb rename to docs/demo_notebooks/demo_stop_start.ipynb index 8d61cb458..6c15d8e2e 100644 --- a/docs/demo_notebooks/vehicle_controls/demo_stop_start.ipynb +++ b/docs/demo_notebooks/demo_stop_start.ipynb @@ -635,7 +635,7 @@ "id": "cell-21", "metadata": {}, "source": [ - "*Source: `fastsim/docs/demo_scripts/vehicle_controls/demo_stop_start.py`*" + "*Source: `fastsim/docs/demo_scripts/demo_stop_start.py`*" ] } ], diff --git a/docs/demo_notebooks/vehicle_controls/demo_trace_miss.ipynb b/docs/demo_notebooks/demo_trace_miss.ipynb similarity index 98% rename from docs/demo_notebooks/vehicle_controls/demo_trace_miss.ipynb rename to docs/demo_notebooks/demo_trace_miss.ipynb index ba2725c0f..3d82ec8e8 100644 --- a/docs/demo_notebooks/vehicle_controls/demo_trace_miss.ipynb +++ b/docs/demo_notebooks/demo_trace_miss.ipynb @@ -213,7 +213,7 @@ "id": "cell-12", "metadata": {}, "source": [ - "*Source: `fastsim/docs/demo_scripts/vehicle_controls/demo_trace_miss.py`*" + "*Source: `fastsim/docs/demo_scripts/demo_trace_miss.py`*" ] } ], diff --git a/docs/demo_notebooks/demo_vehicle.ipynb b/docs/demo_notebooks/demo_vehicle.ipynb new file mode 100644 index 000000000..1a4fae90a --- /dev/null +++ b/docs/demo_notebooks/demo_vehicle.ipynb @@ -0,0 +1,36 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "cell-0", + "metadata": {}, + "source": [ + "# Vehicles in FASTSim\n", + "\n", + "A vehicle model is a structured representation of the physical parameters of a real-world vehicle. FASTSim’s modeling framework has been exercised over a wide variety of on-road vehicles, from passenger cars, to two-wheelers, to medium- and heavy-duty vocational vehicles.\n", + "\n", + "FASTSim’s vehicle model is a hierarchy of components:" + ] + }, + { + "cell_type": "markdown", + "id": "cell-1", + "metadata": {}, + "source": [ + "*Source: `fastsim/docs/demo_scripts/demo_vehicle.py`*" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "name": "python" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/demo_scripts/vehicle_controls/demo_advanced_coasting.py b/docs/demo_scripts/demo_advanced_coasting.py similarity index 100% rename from docs/demo_scripts/vehicle_controls/demo_advanced_coasting.py rename to docs/demo_scripts/demo_advanced_coasting.py diff --git a/docs/demo_scripts/vehicle_controls/demo_basic_coasting.py b/docs/demo_scripts/demo_basic_coasting.py similarity index 100% rename from docs/demo_scripts/vehicle_controls/demo_basic_coasting.py rename to docs/demo_scripts/demo_basic_coasting.py diff --git a/docs/demo_scripts/powertrains/demo_bev.py b/docs/demo_scripts/demo_bev.py similarity index 100% rename from docs/demo_scripts/powertrains/demo_bev.py rename to docs/demo_scripts/demo_bev.py diff --git a/docs/demo_scripts/thermal/demo_bev_thrml_cs_ca.py b/docs/demo_scripts/demo_bev_thrml_cs_ca.py similarity index 100% rename from docs/demo_scripts/thermal/demo_bev_thrml_cs_ca.py rename to docs/demo_scripts/demo_bev_thrml_cs_ca.py diff --git a/docs/demo_scripts/thermal/demo_bev_thrml_sweep.py b/docs/demo_scripts/demo_bev_thrml_sweep.py similarity index 100% rename from docs/demo_scripts/thermal/demo_bev_thrml_sweep.py rename to docs/demo_scripts/demo_bev_thrml_sweep.py diff --git a/docs/demo_scripts/thermal/demo_bev_thrml_ws_ca.py b/docs/demo_scripts/demo_bev_thrml_ws_ca.py similarity index 100% rename from docs/demo_scripts/thermal/demo_bev_thrml_ws_ca.py rename to docs/demo_scripts/demo_bev_thrml_ws_ca.py diff --git a/docs/demo_scripts/thermal/demo_bev_thrml_ws_wa.py b/docs/demo_scripts/demo_bev_thrml_ws_wa.py similarity index 100% rename from docs/demo_scripts/thermal/demo_bev_thrml_ws_wa.py rename to docs/demo_scripts/demo_bev_thrml_ws_wa.py diff --git a/docs/demo_scripts/vehicle_controls/demo_coast_with_grade.py b/docs/demo_scripts/demo_coast_with_grade.py similarity index 100% rename from docs/demo_scripts/vehicle_controls/demo_coast_with_grade.py rename to docs/demo_scripts/demo_coast_with_grade.py diff --git a/docs/demo_scripts/powertrains/demo_conv.py b/docs/demo_scripts/demo_conv.py similarity index 100% rename from docs/demo_scripts/powertrains/demo_conv.py rename to docs/demo_scripts/demo_conv.py diff --git a/docs/demo_scripts/vehicle_controls/demo_cruise_and_coast.py b/docs/demo_scripts/demo_cruise_and_coast.py similarity index 100% rename from docs/demo_scripts/vehicle_controls/demo_cruise_and_coast.py rename to docs/demo_scripts/demo_cruise_and_coast.py diff --git a/docs/demo_scripts/vehicle_controls/demo_dfco.py b/docs/demo_scripts/demo_dfco.py similarity index 100% rename from docs/demo_scripts/vehicle_controls/demo_dfco.py rename to docs/demo_scripts/demo_dfco.py diff --git a/docs/demo_scripts/demo_drive_cycle.py b/docs/demo_scripts/demo_drive_cycle.py new file mode 100644 index 000000000..d034d2ac4 --- /dev/null +++ b/docs/demo_scripts/demo_drive_cycle.py @@ -0,0 +1,170 @@ +""" +# What Is a Drive Cycle? + +A drive cycle is time series data that describes how a vehicle is driven. +At minimum, it includes speed over time, but can also include +road grade, ambient air temperature, or other time-varying quantities. + +FASTSim simulates a vehicle model over each time step of the drive cycle +to compute the vehicle's response, including speed, acceleration, and power demand. + +""" + +""" +## Loading a Drive Cycle from Resources + +This example uses HWFET (Highway Fuel Economy Test), a regulatory drive +cycle used to evaluate highway fuel economy. + +For more information on HWFET and other regulatory drive cycles, see: +https://www.epa.gov/vehicle-and-fuel-emissions-testing/dynamometer-drive-schedules +""" +# %% +import fastsim +cyc = fastsim.Cycle.from_resource("hwfet.csv") + +""" +A full list of drive cycles available in FASTSim's resources can be printed: +""" + +# %% +fastsim.Cycle.list_resources() + +""" +## Visualizing a Drive Cycle + +FASTSim has convenience functions for visualizing drive cycles. +""" +# %% +# Default: x=`time_seconds`, y=`speed_meters_per_second` +fig = cyc.plot() + +# Try also: +# - cyc.plot(x="dist_meters") +# - cyc.plot(y="grade") +# - cyc.plot(x="dist_meters", y="grade") + +# %% +""" +In FASTSim, drive cycles represent all data that vary over time. + +The following are inputs to FASTSim drive cycles: +- Time + - `time_seconds` +- Vehicle speed + - `speed_meters_per_second` +- Road grade + - `grade` +- Ambient air temperature + - `temp_amb_air_kelvin` + - Only affects thermal vehicle models + +FASTSim automatically derives the following from a drive cycle: +- Distance + - `dist_meters` + - Accumulated from vehicle speed +- Elevation + - `elev_meters` + - Accumulated from grade and distance + - Initial elevation + - `init_elev_meters` defaults to 121.92 m (400 ft) +""" + +""" +## Defining Custom Drive Cycles + +Drive cycles can be loaded from a variety of file types: +- `.csv` CSV files (like the above example) +- `.json` JSON files +- `.msgpack` MessagePack files +- `.toml` TOML files +- `.yaml` YAML files + +Here is a small example of a custom drive cycle file: + +`custom_cycle.csv` +```csv +time_seconds,speed_meters_per_second,grade +0,0,0 +1,0,0 +2,0,0 +3,0,0 +4,0,0 +5,0.5,0 +6,0.75,0 +7,1,0 +8,1.25,0 +9,1.5,0 +10,1.75,0 +11,2,0 +12,3,0 +13,4,0 +14,6,0 +15,8,0 +16,10,0 +17,12,0 +18,14,0 +19,16,0 +20,14,0 +21,12,0 +22,10,0 +23,8,0 +24,6,0 +25,4,0 +26,2,0 +27,0,0 +28,0,0 +29,0,0 +30,0,0 +``` + +To load this, you can use `fastsim.Cycle.from_file`: + +```python +cyc_custom = fastsim.Cycle.from_file("custom_cycle.csv") +``` + +""" + +""" +## Accessing Drive Cycle Fields at Runtime + +Drive cycle fields can be accessed at runtime by converting the `Cycle` object to a Python dictionary. +Each key corresponds to a field name, and many values are lists of data points over time. + +""" + +# %% +# Convert a Cycle to a Python dictionary +cyc_dict = cyc.to_pydict() +print(cyc_dict.keys()) +print(cyc_dict) + +# %% +# Iterate over the time, speed, and grade fields and print them +# Limit to 10 values +for time, speed, grade in list(zip(cyc_dict["time_seconds"], cyc_dict["speed_meters_per_second"], cyc_dict["grade"]))[:10]: + print(f"Time [s]: {time}, Speed [m/s]: {speed}, Grade: {grade}") +print("...") + +""" +# Editing Drive Cycle Fields at Runtime +""" + +# %% +# Modify the speed field (double the speed) in the drive cycle dictionary +cyc_dict["speed_meters_per_second"] = [s * 2 for s in cyc_dict["speed_meters_per_second"]] +print("Updated speed [m/s]: ", cyc_dict["speed_meters_per_second"][:10]) + +# Modify the ambient temperature to be 22 °C +cyc_dict["temp_amb_air_kelvin"] = [22 + 273.15] * len(cyc_dict["temp_amb_air_kelvin"]) +print("Updated ambient temperature [K]: ", cyc_dict["temp_amb_air_kelvin"][:10]) +""" +After making changes to the cycle dictionary, be sure to convert it back to a FASTSim `Cycle` before using it in simulation. +""" + +# %% +# Convert the cycle dictionary back into a FASTSim Cycle +cyc = fastsim.Cycle.from_pydict(cyc_dict) + +# %% diff --git a/docs/demo_scripts/vehicle_controls/demo_eco_cruise.py b/docs/demo_scripts/demo_eco_cruise.py similarity index 100% rename from docs/demo_scripts/vehicle_controls/demo_eco_cruise.py rename to docs/demo_scripts/demo_eco_cruise.py diff --git a/docs/demo_scripts/getting_started/demo_getting_started.py b/docs/demo_scripts/demo_getting_started.py similarity index 99% rename from docs/demo_scripts/getting_started/demo_getting_started.py rename to docs/demo_scripts/demo_getting_started.py index a888a7fda..d91199b7a 100644 --- a/docs/demo_scripts/getting_started/demo_getting_started.py +++ b/docs/demo_scripts/demo_getting_started.py @@ -1,5 +1,5 @@ """ -# Getting Started with FASTSim +# Getting Started This demo walks through the core FASTSim workflow: loading a vehicle, loading a drive cycle, running a simulation, and inspecting the results. diff --git a/docs/demo_scripts/powertrains/demo_hev.py b/docs/demo_scripts/demo_hev.py similarity index 100% rename from docs/demo_scripts/powertrains/demo_hev.py rename to docs/demo_scripts/demo_hev.py diff --git a/docs/demo_scripts/thermal/demo_hev_thrml_cs_ca.py b/docs/demo_scripts/demo_hev_thrml_cs_ca.py similarity index 100% rename from docs/demo_scripts/thermal/demo_hev_thrml_cs_ca.py rename to docs/demo_scripts/demo_hev_thrml_cs_ca.py diff --git a/docs/demo_scripts/thermal/demo_hev_thrml_ws_ca.py b/docs/demo_scripts/demo_hev_thrml_ws_ca.py similarity index 100% rename from docs/demo_scripts/thermal/demo_hev_thrml_ws_ca.py rename to docs/demo_scripts/demo_hev_thrml_ws_ca.py diff --git a/docs/demo_scripts/thermal/demo_hev_thrml_ws_wa.py b/docs/demo_scripts/demo_hev_thrml_ws_wa.py similarity index 100% rename from docs/demo_scripts/thermal/demo_hev_thrml_ws_wa.py rename to docs/demo_scripts/demo_hev_thrml_ws_wa.py diff --git a/docs/demo_scripts/vehicle_controls/demo_maneuver_intro.py b/docs/demo_scripts/demo_maneuver_intro.py similarity index 100% rename from docs/demo_scripts/vehicle_controls/demo_maneuver_intro.py rename to docs/demo_scripts/demo_maneuver_intro.py diff --git a/docs/demo_scripts/vehicle_controls/demo_microtrips.py b/docs/demo_scripts/demo_microtrips.py similarity index 100% rename from docs/demo_scripts/vehicle_controls/demo_microtrips.py rename to docs/demo_scripts/demo_microtrips.py diff --git a/docs/demo_scripts/vehicle_controls/demo_stop_start.py b/docs/demo_scripts/demo_stop_start.py similarity index 100% rename from docs/demo_scripts/vehicle_controls/demo_stop_start.py rename to docs/demo_scripts/demo_stop_start.py diff --git a/docs/demo_scripts/vehicle_controls/demo_trace_miss.py b/docs/demo_scripts/demo_trace_miss.py similarity index 100% rename from docs/demo_scripts/vehicle_controls/demo_trace_miss.py rename to docs/demo_scripts/demo_trace_miss.py diff --git a/docs/demo_scripts/demo_vehicle.py b/docs/demo_scripts/demo_vehicle.py new file mode 100644 index 000000000..c90cb06a1 --- /dev/null +++ b/docs/demo_scripts/demo_vehicle.py @@ -0,0 +1,7 @@ +""" +# Vehicles in FASTSim + +A vehicle model is a structured representation of the physical parameters of a real-world vehicle. FASTSim’s modeling framework has been exercised over a wide variety of on-road vehicles, from passenger cars, to two-wheelers, to medium- and heavy-duty vocational vehicles. + +FASTSim’s vehicle model is a hierarchy of components: +""" \ No newline at end of file diff --git a/docs/demo_scripts/plot_utils.py b/docs/demo_scripts/plot_utils.py index e582a48b6..1eccd7fc9 100644 --- a/docs/demo_scripts/plot_utils.py +++ b/docs/demo_scripts/plot_utils.py @@ -9,8 +9,6 @@ from matplotlib.axes import Axes from matplotlib.figure import Figure -import fastsim as fsim - figsize_3_stacked = (10, 9) # set up cycling of colors and linestyles diff --git a/docs/demos_to_notebooks.py b/docs/demos_to_notebooks.py index d83c6a072..451d42817 100644 --- a/docs/demos_to_notebooks.py +++ b/docs/demos_to_notebooks.py @@ -7,6 +7,48 @@ import sys +NOTEBOOK_TAG_DIRECTIVES = { + "hide-input": "hide-input", + "remove-input": "remove-input", + "hide-output": "hide-output", + "remove-output": "remove-output", + "hide-cell": "hide-cell", + "remove-cell": "remove-cell", +} + + +def extract_notebook_tags(block: list[str]) -> tuple[list[str], list[str]]: + """Extract notebook tags from inline directives and return cleaned code lines. + + Supported directives in code cells: + - # notebook: hide-input + - # notebook: remove-input + - # notebook: hide-output + - # notebook: remove-output + - # notebook: hide-cell + - # notebook: remove-cell + + Multiple tags may be comma-separated, e.g. + # notebook: hide-input, hide-output + """ + tags: list[str] = [] + cleaned_block: list[str] = [] + + for line in block: + stripped = line.strip() + if stripped.startswith("# notebook:"): + directive_values = stripped.split(":", maxsplit=1)[1] + for raw_tag in directive_values.split(","): + tag = raw_tag.strip().lower().replace("_", "-").replace(" ", "-") + mapped = NOTEBOOK_TAG_DIRECTIVES.get(tag) + if mapped and mapped not in tags: + tags.append(mapped) + continue + cleaned_block.append(line) + + return cleaned_block, tags + + def script_to_notebook(script_path: Path, notebook_path: Path, script_rel=None) -> None: # Read the script with open(script_path, "r") as script_file: @@ -23,9 +65,14 @@ def next_cell_id() -> str: def add_code_cell(block: list[str]) -> None: if block and "".join(block).strip(): - notebook.cells.append( - nbformat.v4.new_code_cell("".join(block).strip(), id=next_cell_id()), - ) + cleaned_block, tags = extract_notebook_tags(block) + if not "".join(cleaned_block).strip(): + return + + code_cell = nbformat.v4.new_code_cell("".join(cleaned_block).strip(), id=next_cell_id()) + if tags: + code_cell.metadata["tags"] = tags + notebook.cells.append(code_cell) def add_markdown_cell(block: list[str]) -> None: if block: diff --git a/docs/myst.yml b/docs/myst.yml index e41a06726..04f2c6365 100644 --- a/docs/myst.yml +++ b/docs/myst.yml @@ -6,49 +6,58 @@ project: github: https://github.com/NatLabRockies/fastsim toc: - file: content/intro.md - - title: What is FASTSim? + - title: Overview children: - file: content/what-is-fastsim.md - - file: content/vehicle-model.md - file: content/installation.md - - title: Getting Started + - file: demo_notebooks/demo_getting_started.ipynb + - title: User Guide children: - - file: demo_notebooks/getting_started/demo_getting_started.ipynb - - file: content/editing-sim-params.md - - file: content/custom-vehicles.md - - file: content/custom-cycles.md - - file: content/label-fe.md - - title: Demos - children: - - file: demo_notebooks/powertrains/demo_conv.ipynb - - file: demo_notebooks/powertrains/demo_bev.ipynb - - file: demo_notebooks/powertrains/demo_hev.ipynb - - title: Advanced Demos - children: - - title: Thermal Simulation + - title: Modeling a Vehicle children: - - file: demo_notebooks/thermal/demo_bev_thrml_cs_ca.ipynb - - file: demo_notebooks/thermal/demo_bev_thrml_ws_ca.ipynb - - file: demo_notebooks/thermal/demo_bev_thrml_ws_wa.ipynb - - file: demo_notebooks/thermal/demo_hev_thrml_cs_ca.ipynb - - file: demo_notebooks/thermal/demo_hev_thrml_ws_ca.ipynb - - file: demo_notebooks/thermal/demo_hev_thrml_ws_wa.ipynb - - file: demo_notebooks/thermal/demo_bev_thrml_sweep.ipynb - - title: Vehicle Controls + - file: demo_notebooks/demo_vehicle.ipynb + - file: content/custom-vehicles.md + - title: Drive Cycles children: - - file: demo_notebooks/vehicle_controls/demo_trace_miss.ipynb - - file: demo_notebooks/vehicle_controls/demo_stop_start.ipynb - - file: demo_notebooks/vehicle_controls/demo_dfco.ipynb - - file: content/migration-guide.md - - title: Connected and Automated Vehicles (CAVS) - children: - - file: demo_notebooks/vehicle_controls/demo_maneuver_intro.ipynb - - file: demo_notebooks/vehicle_controls/demo_microtrips.ipynb - - file: demo_notebooks/vehicle_controls/demo_basic_coasting.ipynb - - file: demo_notebooks/vehicle_controls/demo_coast_with_grade.ipynb - - file: demo_notebooks/vehicle_controls/demo_advanced_coasting.ipynb - - file: demo_notebooks/vehicle_controls/demo_eco_cruise.ipynb - - file: demo_notebooks/vehicle_controls/demo_cruise_and_coast.ipynb + - file: demo_notebooks/demo_drive_cycle.ipynb + - file: content/telematics.md + - title: Running Simulations + children: + - file: content/simdrive.md + - file: content/editing-sim-params.md + - file: content/label-fuel-economy.md + # - file: content/label-fe.md + # - title: Demos + # children: + # - file: demo_notebooks/demo_conv.ipynb + # - file: demo_notebooks/demo_bev.ipynb + # - file: demo_notebooks/demo_hev.ipynb + # - title: Advanced Demos + # children: + # - title: Thermal Simulation + # children: + # - file: demo_notebooks/demo_bev_thrml_cs_ca.ipynb + # - file: demo_notebooks/demo_bev_thrml_ws_ca.ipynb + # - file: demo_notebooks/demo_bev_thrml_ws_wa.ipynb + # - file: demo_notebooks/demo_hev_thrml_cs_ca.ipynb + # - file: demo_notebooks/demo_hev_thrml_ws_ca.ipynb + # - file: demo_notebooks/demo_hev_thrml_ws_wa.ipynb + # - file: demo_notebooks/demo_bev_thrml_sweep.ipynb + # - title: Vehicle Controls + # children: + # - file: demo_notebooks/demo_trace_miss.ipynb + # - file: demo_notebooks/demo_stop_start.ipynb + # - file: demo_notebooks/demo_dfco.ipynb + # - file: content/migration-guide.md + # - title: Connected and Automated Vehicles (CAVS) + # children: + # - file: demo_notebooks/demo_maneuver_intro.ipynb + # - file: demo_notebooks/demo_microtrips.ipynb + # - file: demo_notebooks/demo_basic_coasting.ipynb + # - file: demo_notebooks/demo_coast_with_grade.ipynb + # - 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"plotly~=6.0", "deepdiff>=8.4.2", ] diff --git a/python/fastsim/__init__.py b/python/fastsim/__init__.py index 1c9c1720d..fc28818c7 100644 --- a/python/fastsim/__init__.py +++ b/python/fastsim/__init__.py @@ -11,6 +11,9 @@ import pandas as pd # type: ignore[import-untyped] import polars as pl +import plotly.graph_objs as go +import plotly.express as px + import fastsim from . import utils # type: ignore[attr-defined] # noqa: F401 @@ -269,9 +272,51 @@ def to_dataframe( return df +def plot(self: Cycle, x="time_seconds", y="speed_meters_per_second", show=True) -> go._figure.Figure: + """ + Plot a drive cycle (default: speed vs. time) with Plotly. + + x-axis options: ["time_seconds", "dist_meters"] + y-axis options: ["speed_meters_per_second", "grade"] + """ + if x not in self.to_pydict(): + raise ValueError(f"Column '{x}' not found in the drive cycle data") + if y not in self.to_pydict(): + raise ValueError(f"Column '{y}' not found in the drive cycle data") + + if x == "time_seconds": + x_label = "Time [s]" + elif x == "dist_meters": + x_label = "Distance [m]" + else: + x_label = x + + if y == "speed_meters_per_second": + y_label = "Speed [m/s]" + elif y == "grade": + y_label = "Road Grade [-]" + else: + y_label = y + + cyc_dict = self.to_pydict() + x_values = np.asarray(cyc_dict[x]) + y_values = np.asarray(cyc_dict[y]) + fig = px.line( + x=x_values, + y=y_values, + labels={"x": x, "y": y}, + ) + fig.update_layout(xaxis_title=x_label, yaxis_title=y_label) + if show: + fig.show() + return fig + + # adds variable_path_list() and history_path_list() as methods to all classes in # ACCEPTED_RUST_STRUCTS for item in ACCEPTED_RUST_STRUCTS: setattr(getattr(fastsim, item), "to_pydict", to_pydict) setattr(getattr(fastsim, item), "from_pydict", from_pydict) setattr(getattr(fastsim, item), "to_dataframe", to_dataframe) + +setattr(Cycle, "plot", plot) diff --git a/python/fastsim/fastsim.pyi b/python/fastsim/fastsim.pyi index 04172ba64..8a67b2b3a 100644 --- a/python/fastsim/fastsim.pyi +++ b/python/fastsim/fastsim.pyi @@ -108,6 +108,8 @@ class Cycle(SerdeAPI): @classmethod def list_resources(cls) -> list[str]: ... def len(self) -> int: ... + def plot_speed(self, x="time_seconds", show=True) -> Any | None: ... + def plot_grade(self, x="time_seconds", show=True) -> Any | None: ... class CycleElement(SerdeAPI): ... From 60096d2ea66b8fe2b59d47269d1ba3ad179395b4 Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Thu, 9 Jul 2026 10:40:54 -0600 Subject: [PATCH 05/67] frame up vehicle hierarchy --- docs/content/vehicle.md | 116 +++++++++++++++++++++ docs/demo_notebooks/demo_drive_cycle.ipynb | 2 +- docs/demo_notebooks/demo_vehicle.ipynb | 6 +- docs/demo_scripts/demo_drive_cycle.py | 2 +- docs/demo_scripts/demo_vehicle.py | 7 +- docs/myst.yml | 2 +- 6 files changed, 130 insertions(+), 5 deletions(-) create mode 100644 docs/content/vehicle.md diff --git a/docs/content/vehicle.md b/docs/content/vehicle.md new file mode 100644 index 000000000..deb85152f --- /dev/null +++ b/docs/content/vehicle.md @@ -0,0 +1,116 @@ +# Vehicles in FASTSim + +A vehicle model is a structured representation of the physical parameters of a real-world vehicle. FASTSim’s modeling framework has been exercised over a wide variety of on-road vehicles, from passenger cars, to two-wheelers, to medium- and heavy-duty vocational vehicles. + +FASTSim's vehicle model is a hierarchy of components: + +:::::{dropdown} Vehicle +:open: + +- *Total vehicle mass `mass_kilograms` +- Auxiliary power load `pwr_aux_base_watts` + - constant value for whole drive cycle + - e.g. 600 W + +::::{dropdown} Powertrain type (`pt_type`) +:open: + TODO + + :::{dropdown} Conventional + TODO + ::: + + :::{dropdown} Battery Electric + TODO + ::: + + :::{dropdown} Hybrid Electric + TODO + ::: + + :::{dropdown} Plug-in Hybrid Electric + TODO + ::: +:::: + + +:::{dropdown} Chassis (`chassis`) +:open: +- Aerodynamic drag coefficient `drag_coef` +- Vehicle frontal area `frontal_area_square_meters` +- Wheel rolling resistance coefficient `wheel_rr_coef` +- Number of wheels `num_wheels` +- Wheel radius `wheel_radius_meters` +- Vehicle drivetrain configuration `drive_type` + - "FWD", "RWD", "AWD", or "FourWD" + - Only affects traction limitation / tire slip calculation, so if not applicable just choose FWD +- Height of vehicle center of gravity `cg_height_meters` + - Only affects traction limitation / tire slip calculation, safe to leave at ~0.6 m for most vehicles +- Wheel friction coefficient `wheel_fric_coef` + - Only affects traction limitation / tire slip calculation, safe to leave at ~0.7 for most vehicles +- Vehicle wheelbase `wheel_base_meters` +- Alternatively set with a tire code `tire_code` e.g. "225/60R18" +- *Component-level masses: + - Chassis mass `mass_kilograms` + - Alternatively: + - Glider mass `glider_mass_kilograms` + - Cargo mass `cargo_mass_kilograms` +::: + + +::::{dropdown} **Cabin model (`cabin`) +:open: + +:::{dropdown} None +No cabin thermal model +- Set with: + - `~` in the vehicle YAML + - `None` in the vehicle Python dictionary +::: + +:::{dropdown} LumpedCabin +Lumped thermal capacitance cabin model +- `cab_shell_htc_to_amb_watts_per_square_meter_kelvin` + - Inverse of cabin shell thermal resistance +- `cab_htc_to_amb_stop_watts_per_square_meter_kelvin` + - Heat transfer coefficient from cabin outer surface to ambient when vehicle is stopped +- `heat_capacitance_joules_per_kelvin` + - Cabin thermal capacitance +- `length_meters` + - Cabin length (modeled as a flat plate) +- `width_meters` + - Cabin width (modeled as a flat plate) +::: +:::: + + +::::{dropdown} **HVAC model (`hvac`) +:open: + +:::{dropdown} None +No HVAC thermal model +- Set with: + - `~` in the vehicle YAML + - `None` in the vehicle Python dictionary +::: + +:::{dropdown} LumpedCabin +Lumped thermal capacitance cabin model +::: + +:::{dropdown} LumpedCabinAndRES +Lumped thermal capacitance cabin model, connected to Reversible Energy Storage (traction battery) thermal model +::: + +:::{dropdown} ReversibleEnergyStorageOnly +Reversible Energy Storage (traction battery) thermal management with no cabin thermal model +::: +:::: + + +::::: + +--- + +**Mass can be set for the entire vehicle at the outermost level of the hierarchy `mass_kilograms`, or set on each component and calculated automatically on initialization.* +***Thermal modeling components, optional.* diff --git a/docs/demo_notebooks/demo_drive_cycle.ipynb b/docs/demo_notebooks/demo_drive_cycle.ipynb index a4336dfd6..74f8eab86 100644 --- a/docs/demo_notebooks/demo_drive_cycle.ipynb +++ b/docs/demo_notebooks/demo_drive_cycle.ipynb @@ -215,7 +215,7 @@ "id": "cell-12", "metadata": {}, "source": [ - "# Editing Drive Cycle Fields at Runtime" + "## Editing Drive Cycle Fields at Runtime" ] }, { diff --git a/docs/demo_notebooks/demo_vehicle.ipynb b/docs/demo_notebooks/demo_vehicle.ipynb index 1a4fae90a..85272b282 100644 --- a/docs/demo_notebooks/demo_vehicle.ipynb +++ b/docs/demo_notebooks/demo_vehicle.ipynb @@ -9,7 +9,11 @@ "\n", "A vehicle model is a structured representation of the physical parameters of a real-world vehicle. FASTSim’s modeling framework has been exercised over a wide variety of on-road vehicles, from passenger cars, to two-wheelers, to medium- and heavy-duty vocational vehicles.\n", "\n", - "FASTSim’s vehicle model is a hierarchy of components:" + "FASTSim's vehicle model is a hierarchy of components:\n", + "\n", + "Vehicle\n", + "- Powertrain Type `pt_type`\n", + "- Powertrain Type" ] }, { diff --git a/docs/demo_scripts/demo_drive_cycle.py b/docs/demo_scripts/demo_drive_cycle.py index d034d2ac4..8333e8725 100644 --- a/docs/demo_scripts/demo_drive_cycle.py +++ b/docs/demo_scripts/demo_drive_cycle.py @@ -148,7 +148,7 @@ print("...") """ -# Editing Drive Cycle Fields at Runtime +## Editing Drive Cycle Fields at Runtime """ # %% diff --git a/docs/demo_scripts/demo_vehicle.py b/docs/demo_scripts/demo_vehicle.py index c90cb06a1..d3e6212e7 100644 --- a/docs/demo_scripts/demo_vehicle.py +++ b/docs/demo_scripts/demo_vehicle.py @@ -3,5 +3,10 @@ A vehicle model is a structured representation of the physical parameters of a real-world vehicle. FASTSim’s modeling framework has been exercised over a wide variety of on-road vehicles, from passenger cars, to two-wheelers, to medium- and heavy-duty vocational vehicles. -FASTSim’s vehicle model is a hierarchy of components: +FASTSim's vehicle model is a hierarchy of components: + +Vehicle +- Powertrain Type `pt_type` +- Powertrain Type + """ \ No newline at end of file diff --git a/docs/myst.yml b/docs/myst.yml index 04f2c6365..5bb1ef29c 100644 --- a/docs/myst.yml +++ b/docs/myst.yml @@ -15,7 +15,7 @@ project: children: - title: Modeling a Vehicle children: - - file: demo_notebooks/demo_vehicle.ipynb + - file: content/vehicle.md - file: content/custom-vehicles.md - title: Drive Cycles children: From f71115018b2cf9c05080b63b959c9cb94a9bc5cd Mon Sep 17 00:00:00 2001 From: Joshua Hoshiko Date: Thu, 9 Jul 2026 14:23:14 -0600 Subject: [PATCH 06/67] updated getting started demo with mines demo content, updated getting started to use plotly and new demo conventions, small tweak to test demos to render plots as JSON (replacement for SHOW_PLOTS) --- .../demo_notebooks/demo_getting_started.ipynb | 354 ++++++++++-------- docs/demo_scripts/demo_getting_started.py | 300 ++++++++------- docs/demo_scripts/test_demos.py | 2 + 3 files changed, 374 insertions(+), 282 deletions(-) diff --git a/docs/demo_notebooks/demo_getting_started.ipynb b/docs/demo_notebooks/demo_getting_started.ipynb index ef6874b59..28e9cb2e3 100644 --- a/docs/demo_notebooks/demo_getting_started.ipynb +++ b/docs/demo_notebooks/demo_getting_started.ipynb @@ -7,8 +7,23 @@ "source": [ "# Getting Started\n", "\n", - "This demo walks through the core FASTSim workflow: loading a vehicle,\n", - "loading a drive cycle, running a simulation, and inspecting the results." + "This is an interactive demonstration of FASTSim. Developed by the National\n", + "Laboratory of the Rockies (NLR), FASTSim provides extremely fast and accurate\n", + "estimates of powertrain performance and fuel (or electricity) consumption for\n", + "a wide variety of vehicle types. This page walks through the core workflow:\n", + "loading a vehicle, loading a drive cycle, running a simulation, and working\n", + "with the results.\n", + "\n", + "## Key Concepts\n", + "\n", + "A FASTSim simulation is built on three main components:\n", + "\n", + "- Vehicle (`veh`): A Python object defining the powertrain (e.g.,\n", + " Conventional, HEV, EV), mass, drag, and component efficiencies.\n", + "- Drive Cycle (`cyc`): A velocity vs. time profile (standard EPA cycles like\n", + " UDDS/HWFET or custom GPS data).\n", + "- Simulation (`SimDrive`): The solver that calculates the power balance and\n", + " energy consumption at every time step." ] }, { @@ -18,33 +33,28 @@ "metadata": {}, "outputs": [], "source": [ - "import os\n", - "\n", - "import matplotlib.pyplot as plt\n", - "\n", - "import fastsim as fsim" + "import fastsim" ] }, { - "cell_type": "code", - "execution_count": null, + "cell_type": "markdown", "id": "cell-2", "metadata": {}, - "outputs": [], "source": [ - "SHOW_PLOTS = os.environ.get(\"SHOW_PLOTS\", \"true\").lower() == \"true\"" + "## Loading a Vehicle\n", + "\n", + "`Vehicle.from_resource` loads one of the vehicle models bundled with FASTSim.\n", + "The full list of bundled vehicles can be printed:" ] }, { - "cell_type": "markdown", + "cell_type": "code", + "execution_count": null, "id": "cell-3", "metadata": {}, + "outputs": [], "source": [ - "## Setting Up a Simulation\n", - "\n", - "Every FASTSim simulation needs three things: a `Vehicle`, a `Cycle` (the\n", - "speed-vs-time trace the vehicle will attempt to follow), and a `SimDrive`\n", - "that ties them together and runs the physics." + "fastsim.Vehicle.list_resources()" ] }, { @@ -52,26 +62,8 @@ "id": "cell-4", "metadata": {}, "source": [ - "### Loading a Vehicle\n", - "\n", - "`Vehicle.from_resource` loads one of the sample vehicle YAML files bundled\n", - "with FASTSim. `Vehicle.list_resources()` returns the full list of bundled\n", - "vehicles (and `Cycle.list_resources()` does the same for drive cycles). The\n", - "resource files themselves live in the\n", - "[fastsim-core resource directory](https://github.com/NatLabRockies/fastsim/tree/fastsim-3/fastsim-core/resources).\n", - "A few examples:\n", - "\n", - "| File | Type |\n", - "|------|------|\n", - "| `2012_Ford_Fusion.yaml` | Conventional |\n", - "| `2016_TOYOTA_Prius_Two.yaml` | Hybrid Electric (HEV) |\n", - "| `2022_Renault_Zoe_ZE50_R135.yaml` | Battery Electric (BEV) |\n", - "| `2020 Chevrolet Bolt EV thrml.yaml` | BEV with thermal model |\n", - "| `2021_Hyundai_Sonata_Hybrid_Blue_thrml.yaml` | HEV with thermal model |\n", - "\n", - "Vehicles with \"thrml\" in the filename include cabin, Heating, Ventilation,\n", - "and Air Conditioning (HVAC), and battery thermal models. The non-thermal\n", - "vehicles are simpler and are a good starting point." + "This example uses the conventional 2012 Ford Fusion. After loading, a few\n", + "key parameters can be read from the vehicle dictionary:" ] }, { @@ -81,7 +73,12 @@ "metadata": {}, "outputs": [], "source": [ - "veh = fsim.Vehicle.from_resource(\"2012_Ford_Fusion.yaml\")" + "veh = fastsim.Vehicle.from_resource(\"2012_Ford_Fusion.yaml\")\n", + "\n", + "veh_dict = veh.to_pydict()\n", + "print(f\"Vehicle loaded: {veh_dict['name']}\")\n", + "print(f\"Vehicle mass: {veh_dict['mass_kilograms']:.1f} kg\")\n", + "print(f\"Drag coefficient: {veh_dict['chassis']['drag_coef']}\")" ] }, { @@ -89,27 +86,15 @@ "id": "cell-6", "metadata": {}, "source": [ - "To use your own vehicle definition instead of a bundled one, load it from a\n", - "YAML file on disk with `Vehicle.from_file`." - ] - }, - { - "cell_type": "markdown", - "id": "cell-7", - "metadata": {}, - "source": [ - "`save_interval` controls how often the vehicle records its internal state\n", - "to history vectors. A value of 1 means every time step is recorded, which\n", - "is what we need for per-step plotting. A larger value saves less\n", - "frequently, and `None` disables history recording entirely. The bundled\n", - "vehicles already default to a `save_interval` of 1, but we set it\n", - "explicitly here to be clear about our intent." + "`save_interval` controls how often the vehicle records its internal state to\n", + "history vectors. A value of 1 records every time step, which is what we want\n", + "for plotting results." ] }, { "cell_type": "code", "execution_count": null, - "id": "cell-8", + "id": "cell-7", "metadata": {}, "outputs": [], "source": [ @@ -118,98 +103,115 @@ }, { "cell_type": "markdown", - "id": "cell-9", + "id": "cell-8", "metadata": {}, "source": [ - "### Loading a Drive Cycle\n", + "## Loading a Drive Cycle\n", "\n", - "`Cycle.from_resource` loads a bundled drive cycle the same way. FASTSim\n", - "ships with sample cycles including `udds.csv` (Urban Dynamometer\n", - "Driving Schedule) and `hwfet.csv` (Highway Fuel Economy Test).\n", + "`Cycle.from_resource` loads a default drive cycle in the FASTSim package\n", + "called the Urban Dynamometer Driving Schedule, or \"UDDS\". The UDDS is one of\n", + "several\n", + "[EPA regulatory cycles](https://www.epa.gov/vehicle-and-fuel-emissions-testing/dynamometer-drive-schedules)\n", + "used to test vehicle fuel economy. UDDS is also referred to as the \"city\"\n", + "test. Below the cycle is plotted as target vehicle speed vs. time.\n", "\n", - "You can also load custom cycles from CSV files on disk with\n", - "`Cycle.from_file`. A cycle CSV needs at minimum `time_seconds` and\n", - "`speed_meters_per_second` columns." + "For a deeper look at drive cycles, including custom cycles and editing cycle\n", + "data, see [What Is a Drive Cycle?](demo_drive_cycle.ipynb)." ] }, { "cell_type": "code", "execution_count": null, - "id": "cell-10", + "id": "cell-9", "metadata": {}, "outputs": [], "source": [ - "cyc = fsim.Cycle.from_resource(\"udds.csv\")" + "cyc = fastsim.Cycle.from_resource(\"udds.csv\")\n", + "fig = cyc.plot()" ] }, { "cell_type": "markdown", - "id": "cell-11", + "id": "cell-10", "metadata": {}, "source": [ - "### Running the Simulation\n", + "## Running the Simulation\n", "\n", - "`SimDrive` takes a vehicle and a cycle and computes the vehicle's\n", - "powertrain response at each time step. Calling `walk()` runs the\n", - "simulation from start to finish.\n", - "\n", - "For a conventional vehicle, `walk()` runs through the cycle once. For\n", - "hybrid vehicles, it iterates until the battery state of charge is balanced\n", - "between the start and end of the cycle." + "`SimDrive` combines a vehicle and a cycle, and `walk()` runs the simulation\n", + "from start to finish." ] }, { "cell_type": "code", "execution_count": null, - "id": "cell-12", + "id": "cell-11", "metadata": {}, "outputs": [], "source": [ - "sd = fsim.SimDrive(veh, cyc)\n", + "sd = fastsim.SimDrive(veh, cyc)\n", "sd.walk()" ] }, { "cell_type": "markdown", - "id": "cell-13", + "id": "cell-12", "metadata": {}, "source": [ "## Inspecting Results\n", "\n", - "There are two main ways to get data out of a completed simulation:\n", - "\n", - "- `to_dataframe()` returns a Polars DataFrame (or pandas if you pass\n", - " `pandas=True`) with one row per saved time step. Column names use\n", - " dot-separated paths like `veh.history.speed_ach_meters_per_second`.\n", - " This is the easiest way to plot time series.\n", - "\n", - "- `to_pydict(flatten=True)` serializes the full simulation state into a\n", - " flat Python dictionary with the same dot-separated keys. This is useful\n", - " for pulling out scalar values like total fuel energy consumed." + "The `SimDrive` object contains the inputs, and after the `walk()` method is\n", + "called, which runs the simulation, it also contains the resulting time-series\n", + "data from the simulated vehicle over the provided drive cycle. You can\n", + "explore these data to understand exactly how the vehicle is performing.\n", + "`to_dataframe()` returns the results as a dataframe:" ] }, { "cell_type": "code", "execution_count": null, - "id": "cell-14", + "id": "cell-13", "metadata": {}, "outputs": [], "source": [ "df = sd.to_dataframe(pandas=True)\n", - "sd_dict = sd.to_pydict(flatten=True)\n", - "\n", - "print(f\"Total fuel energy: {sd_dict['veh.pt_type.Conv.fc.state.energy_fuel_joules'] / 1e6:.2f} MJ\")\n", - "print(f\"Number of time steps: {len(df)}\")\n", - "print(f\"\\nFirst 10 columns (of {len(df.columns)}):\")\n", - "print(df.columns.tolist()[:10])" + "print(f\"{len(df)} time steps, {len(df.columns)} columns. A few examples:\")\n", + "print(df.columns.tolist()[:5])" ] }, { "cell_type": "markdown", + "id": "cell-14", + "metadata": {}, + "source": [ + "A common visualization is achieved speed vs. time. This attribute is called\n", + "\"achieved speed\" because it is possible that a vehicle is not able to meet\n", + "the provided drive cycle. The two lines should overlap almost exactly for a\n", + "vehicle with enough power to follow the trace." + ] + }, + { + "cell_type": "code", + "execution_count": null, "id": "cell-15", "metadata": {}, + "outputs": [], "source": [ - "## Visualizing Results" + "import plotly.graph_objects as go\n", + "\n", + "fig = go.Figure()\n", + "fig.add_trace(go.Scatter(\n", + " x=df[\"cyc.time_seconds\"],\n", + " y=df[\"cyc.speed_meters_per_second\"],\n", + " name=\"Target\",\n", + " line={\"dash\": \"dash\"},\n", + "))\n", + "fig.add_trace(go.Scatter(\n", + " x=df[\"cyc.time_seconds\"],\n", + " y=df[\"veh.history.speed_ach_meters_per_second\"],\n", + " name=\"Achieved\",\n", + "))\n", + "fig.update_layout(xaxis_title=\"Time [s]\", yaxis_title=\"Speed [m/s]\")\n", + "fig.show()" ] }, { @@ -217,11 +219,8 @@ "id": "cell-16", "metadata": {}, "source": [ - "### Target vs. Achieved Speed\n", - "\n", - "This plot compares the drive cycle's target speed against what the vehicle\n", - "actually achieved. For a vehicle with enough power to follow the trace,\n", - "these two lines should overlap almost exactly." + "Fuel power flowing into the engine shows when the vehicle is working hardest\n", + "over the cycle:" ] }, { @@ -231,26 +230,14 @@ "metadata": {}, "outputs": [], "source": [ - "fig, ax = plt.subplots(figsize=(10, 4))\n", - "ax.plot(\n", - " df[\"cyc.time_seconds\"],\n", - " df[\"cyc.speed_meters_per_second\"],\n", - " label=\"Target\",\n", - " alpha=0.7,\n", - ")\n", - "ax.plot(\n", - " df[\"cyc.time_seconds\"],\n", - " df[\"veh.history.speed_ach_meters_per_second\"],\n", - " label=\"Achieved\",\n", - " linestyle=\"--\",\n", + "import plotly.express as px\n", + "\n", + "fig = px.line(\n", + " x=df[\"cyc.time_seconds\"],\n", + " y=df[\"veh.pt_type.Conv.fc.history.pwr_fuel_watts\"] / 1e3,\n", ")\n", - "ax.set_xlabel(\"Time [s]\")\n", - "ax.set_ylabel(\"Speed [m/s]\")\n", - "ax.set_title(\"UDDS Drive Cycle: Target vs. Achieved Speed\")\n", - "ax.legend()\n", - "plt.tight_layout()\n", - "if SHOW_PLOTS:\n", - " plt.show()" + "fig.update_layout(xaxis_title=\"Time [s]\", yaxis_title=\"Fuel Power [kW]\")\n", + "fig.show()" ] }, { @@ -258,11 +245,11 @@ "id": "cell-18", "metadata": {}, "source": [ - "### Fuel Converter Output Power\n", + "## Calculating Fuel Economy\n", "\n", - "This plot shows the fuel converter's total output power (propulsion plus\n", - "auxiliary) over time. The 2012 Ford Fusion has a baseline auxiliary power\n", - "of 700 W (`pwr_aux_base_watts` in the vehicle YAML)." + "FASTSim reports energy in SI units, so fuel economy is calculated from\n", + "cumulative fuel energy and distance. This example converts fuel energy to\n", + "gallons of gasoline equivalent using the conventional 33.7 kWh per gallon." ] }, { @@ -272,21 +259,20 @@ "metadata": {}, "outputs": [], "source": [ - "fig, ax = plt.subplots(figsize=(10, 4))\n", - "ax.plot(\n", - " df[\"cyc.time_seconds\"],\n", - " (\n", - " df[\"veh.pt_type.Conv.fc.history.pwr_prop_watts\"]\n", - " + df[\"veh.pt_type.Conv.fc.history.pwr_aux_watts\"]\n", - " )\n", - " / 1e3,\n", - ")\n", - "ax.set_xlabel(\"Time [s]\")\n", - "ax.set_ylabel(\"FC Power [kW]\")\n", - "ax.set_title(\"Fuel Converter Output Power\")\n", - "plt.tight_layout()\n", - "if SHOW_PLOTS:\n", - " plt.show()" + "KWH_PER_GGE = 33.7\n", + "METERS_PER_MILE = 1609.34\n", + "\n", + "\n", + "def mpg_from_sim(sd) -> float:\n", + " \"\"\"Compute miles per gallon gasoline equivalent from a solved SimDrive.\"\"\"\n", + " sd_dict = sd.to_pydict(flatten=True)\n", + " fuel_kwh = sd_dict[\"veh.pt_type.Conv.fc.state.energy_fuel_joules\"] / 3.6e6\n", + " miles = sd_dict[\"veh.state.dist_meters\"] / METERS_PER_MILE\n", + " return miles / (fuel_kwh / KWH_PER_GGE)\n", + "\n", + "\n", + "mpg = mpg_from_sim(sd)\n", + "print(f\"Fuel economy over UDDS: {mpg:.1f} mpg\")" ] }, { @@ -294,9 +280,29 @@ "id": "cell-20", "metadata": {}, "source": [ - "### Cumulative Fuel Energy\n", + "One common question is: **\"Why is the MPG from FASTSim higher than what I see\n", + "on a car's window sticker?\"** FASTSim simulations, by default, provide \"raw\"\n", + "or \"unadjusted\" fuel economy. This is equivalent to what a vehicle achieves\n", + "on a chassis dynamometer in a laboratory setting under controlled conditions,\n", + "which is how vehicles are actually tested to measure fuel economy. The EPA\n", + "applies a set of \"downward adjustments\" (often around 10-30%) to laboratory\n", + "results to better reflect real-world driving for the window sticker. See\n", + "[Comparing Simulations to Label Fuel Economy](../content/label-fuel-economy.md)\n", + "for how FASTSim reproduces window sticker values.\n", + "\n", + "## Modifying Vehicle Parameters\n", "\n", - "Cumulative fuel energy consumed over the drive cycle." + "One common use of FASTSim is to explore various vehicle designs and\n", + "configurations and the subsequent impacts on fuel consumption. Let's start\n", + "with a simple example that modifies the vehicle mass.\n", + "\n", + "We will:\n", + "1. Create a \"Heavy\" version of the vehicle.\n", + "2. Re-run the simulation.\n", + "3. Compare the results.\n", + "\n", + "Vehicle parameters can be edited by converting the vehicle to a dictionary,\n", + "changing values, and converting back." ] }, { @@ -306,23 +312,71 @@ "metadata": {}, "outputs": [], "source": [ - "fig, ax = plt.subplots(figsize=(10, 4))\n", - "ax.plot(\n", - " df[\"cyc.time_seconds\"],\n", - " df[\"veh.pt_type.Conv.fc.history.energy_fuel_joules\"] / 1e6,\n", - ")\n", - "ax.set_xlabel(\"Time [s]\")\n", - "ax.set_ylabel(\"Cumulative Fuel Energy [MJ]\")\n", - "ax.set_title(\"Cumulative Fuel Consumption\")\n", - "plt.tight_layout()\n", - "if SHOW_PLOTS:\n", - " plt.show()" + "veh_dict_heavy = veh.to_pydict()\n", + "veh_dict_heavy[\"mass_kilograms\"] += 800.0\n", + "veh_heavy = fastsim.Vehicle.from_pydict(veh_dict_heavy)\n", + "veh_heavy.set_save_interval(1)\n", + "\n", + "sd_heavy = fastsim.SimDrive(veh_heavy, cyc)\n", + "sd_heavy.walk()\n", + "\n", + "mpg_heavy = mpg_from_sim(sd_heavy)\n", + "print(f\"Original mass: {veh_dict['mass_kilograms']:.0f} kg -> {mpg:.1f} mpg\")\n", + "print(f\"Heavy mass: {veh_dict_heavy['mass_kilograms']:.0f} kg -> {mpg_heavy:.1f} mpg\")\n", + "print(f\"Fuel economy change: {(mpg_heavy - mpg) / mpg * 100:.1f}%\")" ] }, { "cell_type": "markdown", "id": "cell-22", "metadata": {}, + "source": [ + "Let's visualize the difference in power demand." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cell-23", + "metadata": {}, + "outputs": [], + "source": [ + "df_heavy = sd_heavy.to_dataframe(pandas=True)\n", + "\n", + "fig = go.Figure()\n", + "fig.add_trace(go.Scatter(\n", + " x=df[\"cyc.time_seconds\"],\n", + " y=df[\"veh.pt_type.Conv.fc.history.pwr_fuel_watts\"] / 1e3,\n", + " name=\"Original\",\n", + "))\n", + "fig.add_trace(go.Scatter(\n", + " x=df_heavy[\"cyc.time_seconds\"],\n", + " y=df_heavy[\"veh.pt_type.Conv.fc.history.pwr_fuel_watts\"] / 1e3,\n", + " name=\"With 800 kg payload\",\n", + "))\n", + "fig.update_layout(xaxis_title=\"Time [s]\", yaxis_title=\"Fuel Power [kW]\")\n", + "fig.show()" + ] + }, + { + "cell_type": "markdown", + "id": "cell-24", + "metadata": {}, + "source": [ + "## Where to Go Next\n", + "\n", + "- [What Is a Drive Cycle?](demo_drive_cycle.ipynb) covers loading, building,\n", + " and editing drive cycles, including road grade.\n", + "- [Vehicles in FASTSim](../content/vehicle.md) describes the vehicle model\n", + " hierarchy in more depth.\n", + "- [What is a SimDrive Object?](../content/simdrive.md) explains the\n", + " simulation object and its parameters." + ] + }, + { + "cell_type": "markdown", + "id": "cell-25", + "metadata": {}, "source": [ "*Source: `fastsim/docs/demo_scripts/demo_getting_started.py`*" ] diff --git a/docs/demo_scripts/demo_getting_started.py b/docs/demo_scripts/demo_getting_started.py index d91199b7a..5cb2008c5 100644 --- a/docs/demo_scripts/demo_getting_started.py +++ b/docs/demo_scripts/demo_getting_started.py @@ -1,200 +1,236 @@ """ # Getting Started -This demo walks through the core FASTSim workflow: loading a vehicle, -loading a drive cycle, running a simulation, and inspecting the results. -""" +This is an interactive demonstration of FASTSim. Developed by the National +Laboratory of the Rockies (NLR), FASTSim provides extremely fast and accurate +estimates of powertrain performance and fuel (or electricity) consumption for +a wide variety of vehicle types. This page walks through the core workflow: +loading a vehicle, loading a drive cycle, running a simulation, and working +with the results. -# %% -import os +## Key Concepts -import matplotlib.pyplot as plt +A FASTSim simulation is built on three main components: -import fastsim as fsim +- Vehicle (`veh`): A Python object defining the powertrain (e.g., + Conventional, HEV, EV), mass, drag, and component efficiencies. +- Drive Cycle (`cyc`): A velocity vs. time profile (standard EPA cycles like + UDDS/HWFET or custom GPS data). +- Simulation (`SimDrive`): The solver that calculates the power balance and + energy consumption at every time step. +""" # %% -SHOW_PLOTS = os.environ.get("SHOW_PLOTS", "true").lower() == "true" - -""" -## Setting Up a Simulation +import fastsim -Every FASTSim simulation needs three things: a `Vehicle`, a `Cycle` (the -speed-vs-time trace the vehicle will attempt to follow), and a `SimDrive` -that ties them together and runs the physics. """ +## Loading a Vehicle +`Vehicle.from_resource` loads one of the vehicle models bundled with FASTSim. +The full list of bundled vehicles can be printed: """ -### Loading a Vehicle -`Vehicle.from_resource` loads one of the sample vehicle YAML files bundled -with FASTSim. `Vehicle.list_resources()` returns the full list of bundled -vehicles (and `Cycle.list_resources()` does the same for drive cycles). The -resource files themselves live in the -[fastsim-core resource directory](https://github.com/NatLabRockies/fastsim/tree/fastsim-3/fastsim-core/resources). -A few examples: - -| File | Type | -|------|------| -| `2012_Ford_Fusion.yaml` | Conventional | -| `2016_TOYOTA_Prius_Two.yaml` | Hybrid Electric (HEV) | -| `2022_Renault_Zoe_ZE50_R135.yaml` | Battery Electric (BEV) | -| `2020 Chevrolet Bolt EV thrml.yaml` | BEV with thermal model | -| `2021_Hyundai_Sonata_Hybrid_Blue_thrml.yaml` | HEV with thermal model | +# %% +fastsim.Vehicle.list_resources() -Vehicles with "thrml" in the filename include cabin, Heating, Ventilation, -and Air Conditioning (HVAC), and battery thermal models. The non-thermal -vehicles are simpler and are a good starting point. +""" +This example uses the conventional 2012 Ford Fusion. After loading, a few +key parameters can be read from the vehicle dictionary: """ # %% -veh = fsim.Vehicle.from_resource("2012_Ford_Fusion.yaml") +veh = fastsim.Vehicle.from_resource("2012_Ford_Fusion.yaml") -""" -To use your own vehicle definition instead of a bundled one, load it from a -YAML file on disk with `Vehicle.from_file`. -""" +veh_dict = veh.to_pydict() +print(f"Vehicle loaded: {veh_dict['name']}") +print(f"Vehicle mass: {veh_dict['mass_kilograms']:.1f} kg") +print(f"Drag coefficient: {veh_dict['chassis']['drag_coef']}") """ -`save_interval` controls how often the vehicle records its internal state -to history vectors. A value of 1 means every time step is recorded, which -is what we need for per-step plotting. A larger value saves less -frequently, and `None` disables history recording entirely. The bundled -vehicles already default to a `save_interval` of 1, but we set it -explicitly here to be clear about our intent. +`save_interval` controls how often the vehicle records its internal state to +history vectors. A value of 1 records every time step, which is what we want +for plotting results. """ # %% veh.set_save_interval(1) """ -### Loading a Drive Cycle +## Loading a Drive Cycle -`Cycle.from_resource` loads a bundled drive cycle the same way. FASTSim -ships with sample cycles including `udds.csv` (Urban Dynamometer -Driving Schedule) and `hwfet.csv` (Highway Fuel Economy Test). +`Cycle.from_resource` loads a default drive cycle in the FASTSim package +called the Urban Dynamometer Driving Schedule, or "UDDS". The UDDS is one of +several +[EPA regulatory cycles](https://www.epa.gov/vehicle-and-fuel-emissions-testing/dynamometer-drive-schedules) +used to test vehicle fuel economy. UDDS is also referred to as the "city" +test. Below the cycle is plotted as target vehicle speed vs. time. -You can also load custom cycles from CSV files on disk with -`Cycle.from_file`. A cycle CSV needs at minimum `time_seconds` and -`speed_meters_per_second` columns. +For a deeper look at drive cycles, including custom cycles and editing cycle +data, see [What Is a Drive Cycle?](demo_drive_cycle.ipynb). """ # %% -cyc = fsim.Cycle.from_resource("udds.csv") +cyc = fastsim.Cycle.from_resource("udds.csv") +fig = cyc.plot() """ -### Running the Simulation - -`SimDrive` takes a vehicle and a cycle and computes the vehicle's -powertrain response at each time step. Calling `walk()` runs the -simulation from start to finish. +## Running the Simulation -For a conventional vehicle, `walk()` runs through the cycle once. For -hybrid vehicles, it iterates until the battery state of charge is balanced -between the start and end of the cycle. +`SimDrive` combines a vehicle and a cycle, and `walk()` runs the simulation +from start to finish. """ # %% -sd = fsim.SimDrive(veh, cyc) +sd = fastsim.SimDrive(veh, cyc) sd.walk() """ ## Inspecting Results -There are two main ways to get data out of a completed simulation: +The `SimDrive` object contains the inputs, and after the `walk()` method is +called, which runs the simulation, it also contains the resulting time-series +data from the simulated vehicle over the provided drive cycle. You can +explore these data to understand exactly how the vehicle is performing. +`to_dataframe()` returns the results as a dataframe: +""" -- `to_dataframe()` returns a Polars DataFrame (or pandas if you pass - `pandas=True`) with one row per saved time step. Column names use - dot-separated paths like `veh.history.speed_ach_meters_per_second`. - This is the easiest way to plot time series. +# %% +df = sd.to_dataframe(pandas=True) +print(f"{len(df)} time steps, {len(df.columns)} columns. A few examples:") +print(df.columns.tolist()[:5]) -- `to_pydict(flatten=True)` serializes the full simulation state into a - flat Python dictionary with the same dot-separated keys. This is useful - for pulling out scalar values like total fuel energy consumed. +""" +A common visualization is achieved speed vs. time. This attribute is called +"achieved speed" because it is possible that a vehicle is not able to meet +the provided drive cycle. The two lines should overlap almost exactly for a +vehicle with enough power to follow the trace. """ # %% -df = sd.to_dataframe(pandas=True) -sd_dict = sd.to_pydict(flatten=True) +import plotly.graph_objects as go -print(f"Total fuel energy: {sd_dict['veh.pt_type.Conv.fc.state.energy_fuel_joules'] / 1e6:.2f} MJ") -print(f"Number of time steps: {len(df)}") -print(f"\nFirst 10 columns (of {len(df.columns)}):") -print(df.columns.tolist()[:10]) +fig = go.Figure() +fig.add_trace(go.Scatter( + x=df["cyc.time_seconds"], + y=df["cyc.speed_meters_per_second"], + name="Target", + line={"dash": "dash"}, +)) +fig.add_trace(go.Scatter( + x=df["cyc.time_seconds"], + y=df["veh.history.speed_ach_meters_per_second"], + name="Achieved", +)) +fig.update_layout(xaxis_title="Time [s]", yaxis_title="Speed [m/s]") +fig.show() """ -## Visualizing Results +Fuel power flowing into the engine shows when the vehicle is working hardest +over the cycle: """ +# %% +import plotly.express as px + +fig = px.line( + x=df["cyc.time_seconds"], + y=df["veh.pt_type.Conv.fc.history.pwr_fuel_watts"] / 1e3, +) +fig.update_layout(xaxis_title="Time [s]", yaxis_title="Fuel Power [kW]") +fig.show() + """ -### Target vs. Achieved Speed +## Calculating Fuel Economy -This plot compares the drive cycle's target speed against what the vehicle -actually achieved. For a vehicle with enough power to follow the trace, -these two lines should overlap almost exactly. +FASTSim reports energy in SI units, so fuel economy is calculated from +cumulative fuel energy and distance. This example converts fuel energy to +gallons of gasoline equivalent using the conventional 33.7 kWh per gallon. """ # %% -fig, ax = plt.subplots(figsize=(10, 4)) -ax.plot( - df["cyc.time_seconds"], - df["cyc.speed_meters_per_second"], - label="Target", - alpha=0.7, -) -ax.plot( - df["cyc.time_seconds"], - df["veh.history.speed_ach_meters_per_second"], - label="Achieved", - linestyle="--", -) -ax.set_xlabel("Time [s]") -ax.set_ylabel("Speed [m/s]") -ax.set_title("UDDS Drive Cycle: Target vs. Achieved Speed") -ax.legend() -plt.tight_layout() -if SHOW_PLOTS: - plt.show() +KWH_PER_GGE = 33.7 +METERS_PER_MILE = 1609.34 + + +def mpg_from_sim(sd) -> float: + """Compute miles per gallon gasoline equivalent from a solved SimDrive.""" + sd_dict = sd.to_pydict(flatten=True) + fuel_kwh = sd_dict["veh.pt_type.Conv.fc.state.energy_fuel_joules"] / 3.6e6 + miles = sd_dict["veh.state.dist_meters"] / METERS_PER_MILE + return miles / (fuel_kwh / KWH_PER_GGE) + + +mpg = mpg_from_sim(sd) +print(f"Fuel economy over UDDS: {mpg:.1f} mpg") """ -### Fuel Converter Output Power +One common question is: **"Why is the MPG from FASTSim higher than what I see +on a car's window sticker?"** FASTSim simulations, by default, provide "raw" +or "unadjusted" fuel economy. This is equivalent to what a vehicle achieves +on a chassis dynamometer in a laboratory setting under controlled conditions, +which is how vehicles are actually tested to measure fuel economy. The EPA +applies a set of "downward adjustments" (often around 10-30%) to laboratory +results to better reflect real-world driving for the window sticker. See +[Comparing Simulations to Label Fuel Economy](../content/label-fuel-economy.md) +for how FASTSim reproduces window sticker values. + +## Modifying Vehicle Parameters -This plot shows the fuel converter's total output power (propulsion plus -auxiliary) over time. The 2012 Ford Fusion has a baseline auxiliary power -of 700 W (`pwr_aux_base_watts` in the vehicle YAML). +One common use of FASTSim is to explore various vehicle designs and +configurations and the subsequent impacts on fuel consumption. Let's start +with a simple example that modifies the vehicle mass. + +We will: +1. Create a "Heavy" version of the vehicle. +2. Re-run the simulation. +3. Compare the results. + +Vehicle parameters can be edited by converting the vehicle to a dictionary, +changing values, and converting back. """ # %% -fig, ax = plt.subplots(figsize=(10, 4)) -ax.plot( - df["cyc.time_seconds"], - ( - df["veh.pt_type.Conv.fc.history.pwr_prop_watts"] - + df["veh.pt_type.Conv.fc.history.pwr_aux_watts"] - ) - / 1e3, -) -ax.set_xlabel("Time [s]") -ax.set_ylabel("FC Power [kW]") -ax.set_title("Fuel Converter Output Power") -plt.tight_layout() -if SHOW_PLOTS: - plt.show() +veh_dict_heavy = veh.to_pydict() +veh_dict_heavy["mass_kilograms"] += 800.0 +veh_heavy = fastsim.Vehicle.from_pydict(veh_dict_heavy) +veh_heavy.set_save_interval(1) -""" -### Cumulative Fuel Energy +sd_heavy = fastsim.SimDrive(veh_heavy, cyc) +sd_heavy.walk() -Cumulative fuel energy consumed over the drive cycle. +mpg_heavy = mpg_from_sim(sd_heavy) +print(f"Original mass: {veh_dict['mass_kilograms']:.0f} kg -> {mpg:.1f} mpg") +print(f"Heavy mass: {veh_dict_heavy['mass_kilograms']:.0f} kg -> {mpg_heavy:.1f} mpg") +print(f"Fuel economy change: {(mpg_heavy - mpg) / mpg * 100:.1f}%") + +""" +Let's visualize the difference in power demand. """ # %% -fig, ax = plt.subplots(figsize=(10, 4)) -ax.plot( - df["cyc.time_seconds"], - df["veh.pt_type.Conv.fc.history.energy_fuel_joules"] / 1e6, -) -ax.set_xlabel("Time [s]") -ax.set_ylabel("Cumulative Fuel Energy [MJ]") -ax.set_title("Cumulative Fuel Consumption") -plt.tight_layout() -if SHOW_PLOTS: - plt.show() +df_heavy = sd_heavy.to_dataframe(pandas=True) + +fig = go.Figure() +fig.add_trace(go.Scatter( + x=df["cyc.time_seconds"], + y=df["veh.pt_type.Conv.fc.history.pwr_fuel_watts"] / 1e3, + name="Original", +)) +fig.add_trace(go.Scatter( + x=df_heavy["cyc.time_seconds"], + y=df_heavy["veh.pt_type.Conv.fc.history.pwr_fuel_watts"] / 1e3, + name="With 800 kg payload", +)) +fig.update_layout(xaxis_title="Time [s]", yaxis_title="Fuel Power [kW]") +fig.show() + +""" +## Where to Go Next + +- [What Is a Drive Cycle?](demo_drive_cycle.ipynb) covers loading, building, + and editing drive cycles, including road grade. +- [Vehicles in FASTSim](../content/vehicle.md) describes the vehicle model + hierarchy in more depth. +- [What is a SimDrive Object?](../content/simdrive.md) explains the + simulation object and its parameters. +""" diff --git a/docs/demo_scripts/test_demos.py b/docs/demo_scripts/test_demos.py index 9c843649f..9e7ccdb8d 100644 --- a/docs/demo_scripts/test_demos.py +++ b/docs/demo_scripts/test_demos.py @@ -22,6 +22,8 @@ def test_demo(demo_path: Path): """Test that each demo script runs successfully without errors.""" os.environ["SHOW_PLOTS"] = "false" os.environ["PYTEST"] = "true" + # render plotly figures to JSON instead of opening browser tabs + os.environ["PLOTLY_RENDERER"] = "json" try: rslt = subprocess.run( [sys.executable, demo_path], From a1e5e1936d55bc7b02de67e320a51c0123d05a1c Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Thu, 9 Jul 2026 20:22:39 -0600 Subject: [PATCH 07/67] vehicle docs progress --- docs/content/vehicle.md | 287 ++++++++++++++++++++++++++++++++++++---- docs/myst.yml | 2 +- 2 files changed, 265 insertions(+), 24 deletions(-) diff --git a/docs/content/vehicle.md b/docs/content/vehicle.md index deb85152f..a1d594041 100644 --- a/docs/content/vehicle.md +++ b/docs/content/vehicle.md @@ -4,10 +4,11 @@ A vehicle model is a structured representation of the physical parameters of a r FASTSim's vehicle model is a hierarchy of components: -:::::{dropdown} Vehicle + +::::::{dropdown} Vehicle :open: -- *Total vehicle mass `mass_kilograms` +- Total vehicle mass* `mass_kilograms` - Auxiliary power load `pwr_aux_base_watts` - constant value for whole drive cycle - e.g. 600 W @@ -50,7 +51,7 @@ FASTSim's vehicle model is a hierarchy of components: - Only affects traction limitation / tire slip calculation, safe to leave at ~0.7 for most vehicles - Vehicle wheelbase `wheel_base_meters` - Alternatively set with a tire code `tire_code` e.g. "225/60R18" -- *Component-level masses: +- Component-level masses*: - Chassis mass `mass_kilograms` - Alternatively: - Glider mass `glider_mass_kilograms` @@ -58,17 +59,42 @@ FASTSim's vehicle model is a hierarchy of components: ::: -::::{dropdown} **Cabin model (`cabin`) +:::::{dropdown} Cabin model (`cabin`) :open: -:::{dropdown} None -No cabin thermal model -- Set with: - - `~` in the vehicle YAML - - `None` in the vehicle Python dictionary +Models cabin temperature, heat can flow between cabin and: +- surroundings/ambient conditions +- fuel converter (e.g. engine) +- reversible energy storage (traction battery) + +:::{note} +Optional thermal component, select `"None"` to disable +::: + + +::::{dropdown} None +Disable cabin thermal model. + +Examples: + +:::{dropdown} YAML +```yaml +cabin: None +``` ::: -:::{dropdown} LumpedCabin +:::{dropdown} Python dictionary +```python +{ + ... + 'cabin': 'None', + ... +} +``` +::: +:::: + +::::{dropdown} LumpedCabin Lumped thermal capacitance cabin model - `cab_shell_htc_to_amb_watts_per_square_meter_kelvin` - Inverse of cabin shell thermal resistance @@ -80,37 +106,252 @@ Lumped thermal capacitance cabin model - Cabin length (modeled as a flat plate) - `width_meters` - Cabin width (modeled as a flat plate) -::: + +Examples: + +:::{dropdown} YAML + ```yaml + cabin: + LumpedCabin: + cab_shell_htc_to_amb_watts_per_square_meter_kelvin: 10.111988385072632 + cab_htc_to_amb_stop_watts_per_square_meter_kelvin: 153.22457193685642 + heat_capacitance_joules_per_kelvin: 250000 + length_meters: 3.302 # 130 in. estimate + width_meters: 2.02184 # vehicle width without mirrors + state: + i: 0 + temperature_kelvin: 295.15 + temp_prev_kelvin: 295.15 + pwr_thrml_from_hvac_watts: 0.0 + energy_thrml_from_hvac_joules: 0.0 + pwr_thrml_from_amb_watts: 0.0 + energy_thrml_from_amb_joules: 0.0 + pwr_thrml_to_res_watts: 0.0 + energy_thrml_to_res_joules: 0.0 + reynolds_for_plate: 0.0 + history: + i: [] + temperature_kelvin: [] + temp_prev_kelvin: [] + pwr_thrml_from_hvac_watts: [] + energy_thrml_from_hvac_joules: [] + pwr_thrml_from_amb_watts: [] + energy_thrml_from_amb_joules: [] + pwr_thrml_to_res_watts: [] + energy_thrml_to_res_joules: [] + reynolds_for_plate: [] + save_interval: 1 + ``` + ::: + + :::{dropdown} Python dictionary + ```python + { + ... + 'cabin': {'LumpedCabin': {'cab_shell_htc_to_amb_watts_per_square_meter_kelvin': 10.111988385072632, + 'cab_htc_to_amb_stop_watts_per_square_meter_kelvin': 153.22457193685642, + 'heat_capacitance_joules_per_kelvin': 250000.0, + 'length_meters': 3.302, + 'width_meters': 2.02184, + 'state': {'i': 0, + 'temperature_kelvin': 295.15, + 'temp_prev_kelvin': 295.15, + 'pwr_thrml_from_hvac_watts': 0.0, + 'energy_thrml_from_hvac_joules': 0.0, + 'pwr_thrml_from_amb_watts': 0.0, + 'energy_thrml_from_amb_joules': 0.0, + 'pwr_thrml_to_res_watts': 0.0, + 'energy_thrml_to_res_joules': 0.0, + 'reynolds_for_plate': 0.0}, + 'history': {'i': [], + 'temperature_kelvin': [], + 'temp_prev_kelvin': [], + 'pwr_thrml_from_hvac_watts': [], + 'energy_thrml_from_hvac_joules': [], + 'pwr_thrml_from_amb_watts': [], + 'energy_thrml_from_amb_joules': [], + 'pwr_thrml_to_res_watts': [], + 'energy_thrml_to_res_joules': [], + 'reynolds_for_plate': []}, + 'save_interval': 1}}, + ... + } + ``` + ::: + :::: +::::: -::::{dropdown} **HVAC model (`hvac`) +:::::{dropdown} HVAC model (`hvac`) :open: -:::{dropdown} None -No HVAC thermal model -- Set with: - - `~` in the vehicle YAML - - `None` in the vehicle Python dictionary +:::{note} +Optional thermal component, select `"None"` to disable ::: -:::{dropdown} LumpedCabin -Lumped thermal capacitance cabin model +Models HVAC behavior and related heat flow. + +::::{dropdown} None + +Disable HVAC thermal model. + +Examples: + +:::{dropdown} YAML +```yaml +hvac: None +``` +::: + +:::{dropdown} Python dictionary +```python +{ + ... + 'hvac': 'None', + ... +} +``` +::: +:::: + +::::{dropdown} LumpedCabin +Lumped thermal capacitance cabin model. + +Examples +:::{dropdown} YAML +```yaml +hvac: + LumpedCabin: + te_set_kelvin: 295.15 + te_deadband_kelvin: 0.5 + p_watts_per_kelvin: 489.34499608760177 + i: 36.77964270414921 + pwr_i_max_watts: 10000.0 + d: 5.0 + pwr_thrml_max_watts: 15000.0 + frac_of_ideal_cop: 0.0778419513178728 + heat_source: FuelConverter + pwr_aux_for_hvac_max_watts: 8000.0 + state: + i: 0 + pwr_p_watts: 0.0 + energy_p_joules: 0.0 + pwr_i_watts: 0.0 + energy_i_joules: 0.0 + pwr_d_watts: 0.0 + energy_d_joules: 0.0 + cop: ~ + pwr_aux_for_hvac_watts: 0.0 + energy_aux_for_hvac_joules: 0.0 + pwr_thrml_hvac_to_cabin_watts: 0.0 + energy_thrml_hvac_to_cabin_joules: 0.0 + pwr_thrml_fc_to_cabin_watts: 0.0 + energy_thrml_fc_to_cabin_joules: 0.0 + history: + i: [] + pwr_p_watts: [] + energy_p_joules: [] + pwr_i_watts: [] + energy_i_joules: [] + pwr_d_watts: [] + energy_d_joules: [] + cop: [] + pwr_aux_for_hvac_watts: [] + energy_aux_for_hvac_joules: [] + pwr_thrml_hvac_to_cabin_watts: [] + energy_thrml_hvac_to_cabin_joules: [] + pwr_thrml_fc_to_cabin_watts: [] + energy_thrml_fc_to_cabin_joules: [] + save_interval: 1 +``` ::: +:::{dropdown} Python dictionary +```python +{ + ... + 'hvac': {'LumpedCabin': {'te_set_kelvin': 295.15, + 'te_deadband_kelvin': 0.5, + 'p_watts_per_kelvin': 489.34499608760177, + 'i': 36.77964270414921, + 'pwr_i_max_watts': 10000.0, + 'd': 5.0, + 'pwr_thrml_max_watts': 15000.0, + 'frac_of_ideal_cop': 0.0778419513178728, + 'heat_source': 'FuelConverter', + 'pwr_aux_for_hvac_max_watts': 8000.0, + 'state': {'i': 0, + 'pwr_p_watts': 0.0, + 'energy_p_joules': 0.0, + 'pwr_i_watts': 0.0, + 'energy_i_joules': 0.0, + 'pwr_d_watts': 0.0, + 'energy_d_joules': 0.0, + 'cop': None, + 'pwr_aux_for_hvac_watts': 0.0, + 'energy_aux_for_hvac_joules': 0.0, + 'pwr_thrml_hvac_to_cabin_watts': 0.0, + 'energy_thrml_hvac_to_cabin_joules': 0.0, + 'pwr_thrml_fc_to_cabin_watts': 0.0, + 'energy_thrml_fc_to_cabin_joules': 0.0}, + 'history': {'i': [], + 'pwr_p_watts': [], + 'energy_p_joules': [], + 'pwr_i_watts': [], + 'energy_i_joules': [], + 'pwr_d_watts': [], + 'energy_d_joules': [], + 'cop': [], + 'pwr_aux_for_hvac_watts': [], + 'energy_aux_for_hvac_joules': [], + 'pwr_thrml_hvac_to_cabin_watts': [], + 'energy_thrml_hvac_to_cabin_joules': [], + 'pwr_thrml_fc_to_cabin_watts': [], + 'energy_thrml_fc_to_cabin_joules': []}, + 'save_interval': 1}}, + ... +} +``` +::: + +:::: -:::{dropdown} LumpedCabinAndRES +::::{dropdown} LumpedCabinAndRES Lumped thermal capacitance cabin model, connected to Reversible Energy Storage (traction battery) thermal model + +Examples +:::{dropdown} YAML +```yaml +TODO +``` +::: +:::{dropdown} Python dictionary +```python +TODO +``` ::: +:::: -:::{dropdown} ReversibleEnergyStorageOnly +::::{dropdown} ReversibleEnergyStorageOnly Reversible Energy Storage (traction battery) thermal management with no cabin thermal model + +Examples +:::{dropdown} YAML +```yaml +TODO +``` +::: +:::{dropdown} Python dictionary +```python +TODO +``` ::: :::: + +:::::: -::::: --- **Mass can be set for the entire vehicle at the outermost level of the hierarchy `mass_kilograms`, or set on each component and calculated automatically on initialization.* -***Thermal modeling components, optional.* diff --git a/docs/myst.yml b/docs/myst.yml index 5bb1ef29c..f4f51f60d 100644 --- a/docs/myst.yml +++ b/docs/myst.yml @@ -13,7 +13,7 @@ project: - file: demo_notebooks/demo_getting_started.ipynb - title: User Guide children: - - title: Modeling a Vehicle + - title: Vehicle Models children: - file: content/vehicle.md - file: content/custom-vehicles.md From 4e58758f8e7741c01b5470cb08aa0a6987b71066 Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Thu, 9 Jul 2026 20:26:13 -0600 Subject: [PATCH 08/67] add nbformat dep to tests --- pixi.lock | 56 ++++++++++++++++++++++++++++++++++++++++++++++++++ pyproject.toml | 3 ++- 2 files changed, 58 insertions(+), 1 deletion(-) diff --git a/pixi.lock b/pixi.lock index c3c30d340..cff828851 100644 --- a/pixi.lock +++ b/pixi.lock @@ -2344,15 +2344,18 @@ environments: - pypi: https://files.pythonhosted.org/packages/10/bd/c038d7cc38edc1aa5bf91ab8068b63d4308c66c4c8bb3cbba7dfbc049f9c/pyparsing-3.3.2-py3-none-any.whl - pypi: https://files.pythonhosted.org/packages/11/8d/d2532ad2a603ca2b93ad9f5135732124e57811d0168155852f37fbce2458/pillow-12.2.0-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl - 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"nbformat", + "nbformat>=4.2.0", ] dev = [ {include-group = "build"}, From 667aa6881969f566be5edc779dcc306bbce5c5b1 Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Thu, 9 Jul 2026 20:41:43 -0600 Subject: [PATCH 09/67] replace accidentally removed line in plot_utils --- docs/demo_scripts/plot_utils.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/docs/demo_scripts/plot_utils.py b/docs/demo_scripts/plot_utils.py index 1eccd7fc9..e582a48b6 100644 --- a/docs/demo_scripts/plot_utils.py +++ b/docs/demo_scripts/plot_utils.py @@ -9,6 +9,8 @@ from matplotlib.axes import Axes from matplotlib.figure import Figure +import fastsim as fsim + figsize_3_stacked = (10, 9) # set up cycling of colors and linestyles From da73a00ce213ed6ae5d03784f4f7d12bfa0dcc3b Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Thu, 9 Jul 2026 21:11:57 -0600 Subject: [PATCH 10/67] describe release process --- docs/content/developers/release-process.md | 28 +++++++++++++++++++--- 1 file changed, 25 insertions(+), 3 deletions(-) diff --git a/docs/content/developers/release-process.md b/docs/content/developers/release-process.md index 00dfea626..cae3ee777 100644 --- a/docs/content/developers/release-process.md +++ b/docs/content/developers/release-process.md @@ -1,5 +1,27 @@ # FASTSim Release Process -:::{note} -🚧 This page is under construction. -::: +1. Update FASTSim version (with a consistent version number) in the following locations: + - `pyproject.toml` + - `fastsim-core/Cargo.toml` + - package version + - `fastsim-proc-macros` dependency version + - `fastsim-core/fastsim-proc-macros/Cargo.toml` + - `fastsim-py/Cargo.toml` + +1. Tag the latest commit with your version number and push + + ``` + git tag vX.Y.Z + ``` + + ``` + git push origin tag vX.Y.Z + ``` + +1. Draft a new release at https://github.com/NatLabRockies/fastsim/releases/new + - Select the newly created tag + - Autogenerate release notes + - Add extra description of changes, new features, bugfixes, etc. + +1. Publish release + - GitHub Actions will take care of testing, building wheels, and releasing to [PyPI](https://pypi.org/project/fastsim/) and [crates.io](https://crates.io/crates/fastsim-core) From 13a5f8d99cda4a0a1ef0401be4d36ed0e4dd6a01 Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Thu, 9 Jul 2026 21:59:45 -0600 Subject: [PATCH 11/67] polish installation and developer sections --- .../developers/compilation-from-source.md | 5 - .../developers/compiling-from-source.md | 13 +++ docs/content/developers/how-to-update.md | 73 ------------ ...{release-process.md => making-releases.md} | 6 +- docs/content/developers/updating-docs.md | 105 ++++++++++++++++++ docs/content/installation.md | 55 +++++---- docs/myst.yml | 6 +- 7 files changed, 151 insertions(+), 112 deletions(-) delete mode 100644 docs/content/developers/compilation-from-source.md create mode 100644 docs/content/developers/compiling-from-source.md delete mode 100644 docs/content/developers/how-to-update.md rename docs/content/developers/{release-process.md => making-releases.md} (81%) create mode 100644 docs/content/developers/updating-docs.md diff --git a/docs/content/developers/compilation-from-source.md b/docs/content/developers/compilation-from-source.md deleted file mode 100644 index 824eef8ab..000000000 --- a/docs/content/developers/compilation-from-source.md +++ /dev/null @@ -1,5 +0,0 @@ -# Compilation from Source - -:::{note} -🚧 This page is under construction. -::: diff --git a/docs/content/developers/compiling-from-source.md b/docs/content/developers/compiling-from-source.md new file mode 100644 index 000000000..0eb305229 --- /dev/null +++ b/docs/content/developers/compiling-from-source.md @@ -0,0 +1,13 @@ +# Compiling from Source + +First, set up your environment (see [Environment Setup](environment-setup.md)). + +To compile FASTSim from source and install into your environment, run: +```bash +maturin develop +``` + +Or, to compile with optimizations (longer compilation, but faster at runtime): +```bash +maturin develop --release +``` diff --git a/docs/content/developers/how-to-update.md b/docs/content/developers/how-to-update.md deleted file mode 100644 index d647ca9cd..000000000 --- a/docs/content/developers/how-to-update.md +++ /dev/null @@ -1,73 +0,0 @@ -# How to Update This Book - -This documentation is built using [Jupyter Book v2](https://mystmd.org/) (MyST). - -## Setup - -Install the doc build dependencies: - -```bash -cd fastsim/docs -pip install -r requirements.txt -``` - -## Local Development - -From the `docs/` directory, convert the demo scripts to notebooks and -start the dev server: - -```bash -# Convert demo scripts to notebooks -python demos_to_notebooks.py - -# Start the dev server with live reload -jupyter book start -``` - -The `--execute` flag runs the demo notebooks and populates their -outputs, so plots appear in the rendered pages: - -```bash -jupyter book start --execute -``` - -The site will be available at `http://localhost:3000`. - -## Building Static HTML - -```bash -jupyter book build --html --execute -``` - -Output is written to `docs/_build/html/`. - -## Directory Layout - -``` -docs/ - content/ Markdown pages (intro, calibration, developer guides) - demo_scripts/ Source Python scripts for demos - demo_notebooks/ Generated Jupyter notebooks (do not edit directly) - assets/ Images and icons - myst.yml Jupyter Book configuration and table of contents - demos_to_notebooks.py Script to convert demo_scripts/ to demo_notebooks/ -``` - -## Adding or Modifying Pages - -- **Markdown pages**: Add `.md` files to `docs/content/` and reference - them in the `toc:` section of `myst.yml` -- **Demo notebooks**: Add demo scripts to `docs/demo_scripts/` following - the existing convention (`"""` blocks become markdown cells, `# %%` - marks code cell boundaries). Then regenerate notebooks: - ```bash - python demos_to_notebooks.py - ``` - Only files matching `demo*.py` are converted. Other files like - `plot_utils.py` and `test_demos.py` are ignored by the converter. -- **Table of Contents**: Edit `docs/myst.yml` under `project.toc:` - -## Publishing - -Pushing to the `fastsim-3` branch triggers a GitHub Actions workflow -(`deploy_docs.yaml`) that builds and deploys the book to GitHub Pages. diff --git a/docs/content/developers/release-process.md b/docs/content/developers/making-releases.md similarity index 81% rename from docs/content/developers/release-process.md rename to docs/content/developers/making-releases.md index cae3ee777..646cd8756 100644 --- a/docs/content/developers/release-process.md +++ b/docs/content/developers/making-releases.md @@ -1,6 +1,8 @@ -# FASTSim Release Process +# Making Releases -1. Update FASTSim version (with a consistent version number) in the following locations: +1. Determine new version number according to [semantic versioning conventions](https://semver.org/) + +1. Update FASTSim version in the following locations: - `pyproject.toml` - `fastsim-core/Cargo.toml` - package version diff --git a/docs/content/developers/updating-docs.md b/docs/content/developers/updating-docs.md new file mode 100644 index 000000000..c03524206 --- /dev/null +++ b/docs/content/developers/updating-docs.md @@ -0,0 +1,105 @@ +# Updating the Docs + +This documentation is built using [Jupyter Book v2](https://mystmd.org/) (MyST). + + + +## Setup + +Install the doc build dependencies: + +- Using Pixi: + ```bash + pixi install -e docs + ``` + +- Manually: + ```bash + pip install --group docs + ``` + +## Local Development + +Convert the demo scripts to notebooks and launch the jupyter book, executing notebooks + +- Using Pixi: + ```bash + pixi run docs + ``` + +- Manually: + ```bash + cd docs + + # Convert demo scripts to notebooks + python demos_to_notebooks.py + + # Start the dev server with live reload + # The `--execute` flag runs the demo notebooks and populates their + # outputs, so plots appear in the rendered pages: + jupyter book start --execute + ``` + +The site will be available at `http://localhost:3000`. + +## Building Static HTML + +```bash +jupyter book build --html --execute +``` + +Output is written to `docs/_build/html/`. + +## Directory Layout + +``` +docs/ + content/ Markdown pages (intro, calibration, developer guides) + demo_scripts/ Source Python scripts for demos + demo_notebooks/ Generated Jupyter notebooks (do not edit directly) + assets/ Images and icons + myst.yml Jupyter Book configuration and table of contents + demos_to_notebooks.py Script to convert demo_scripts/ to demo_notebooks/ +``` + +## Adding or Modifying Pages + +- **Markdown pages**: Add `.md` files to `docs/content/` and reference + them in the `toc:` section of `myst.yml` + +- **Demo notebooks**: Add demo scripts to `docs/demo_scripts/` following + the existing convention + - Markdown cells are surrounded by triple quotes + ```python + """ + This becomes a **markdown cell** + """ + ``` + + - Code cells start with `# %%` + ```python + # %% + # This becomes a code cell + + # %% + ``` + - Code cells can also use the notebook tags (described [here](https://jupyterbook.org/v1/interactive/hiding.html)) with these lines: + - `# notebook: hide-input` + - `# notebook: remove-input` + - `# notebook: hide-output` + - `# notebook: remove-output` + - `# notebook: hide-cell` + - `# notebook: remove-cell` + + - Then regenerate notebooks: + ```bash + python demos_to_notebooks.py + ``` + - Only files matching `demo*.py` are converted. Other files like `plot_utils.py` and `test_demos.py` are ignored by the converter. + +- **Table of Contents**: Edit `docs/myst.yml` under `project.toc` + +## Publishing + +Pushing to the `fastsim-3` branch triggers a GitHub Actions workflow +(`deploy_docs.yaml`) that builds and deploys the book to GitHub Pages. diff --git a/docs/content/installation.md b/docs/content/installation.md index 23555775d..93413122a 100644 --- a/docs/content/installation.md +++ b/docs/content/installation.md @@ -1,45 +1,42 @@ # Installation -FASTSim supports Python 3.10 through 3.12. Install it from PyPI for the +FASTSim supports Python 3.10 through 3.15. Install it from PyPI for the quickest start, or build it from source for the latest development version. -## From PyPI + - From [PyPI](https://pypi.org/project/fastsim/) (recommended): + - In an active Python environment, install the latest release with pip: + ``` + pip install fastsim + ``` -In an active Python environment, install the latest release with pip: + - From source code: + - Building from source gives you the latest development version. FASTSim's core + is written in Rust, so you will need the + [Rust toolchain](https://www.rust-lang.org/tools/install) installed first. The + build tool (maturin) is installed automatically during the build, so the Rust + toolchain is the only prerequisite you need to set up yourself. -``` -pip install fastsim -``` + 1. Clone the repository and enter it: -## From Source + ``` + git clone https://github.com/NatLabRockies/fastsim.git + cd fastsim + ``` -Building from source gives you the latest development version. FASTSim's core -is written in Rust, so you will need the -[Rust toolchain](https://www.rust-lang.org/tools/install) installed first. The -build tool (maturin) is installed automatically during the build, so the Rust -toolchain is the only prerequisite you need to set up yourself. + 1. Install the package from the repository root: -1. Clone the repository and enter it: + ``` + pip install . + ``` - ``` - git clone https://github.com/NatLabRockies/fastsim.git - cd fastsim - ``` + - Add the editable `-e` flag to detect source changes each time FASTSim is imported. + - Add the `--group dev` flag to install optional developer dependencies. -2. Install the package from the repository root: - - ``` - pip install . - ``` - - - Add the editable `-e` flag to detect source changes each time FASTSim is imported. - - Add the `--group dev` flag to install optional developer dependencies. - -Building from source is not necessary for most use cases. For more detail on -the developer build, see [Compilation from Source](developers/compilation-from-source.md). + Building from source is not necessary for most use cases. For more detail on + the developer build, see [Compiling from Source](developers/compiling-from-source.md). ## Next Steps With FASTSim installed, head to -[Getting Started](../demo_notebooks/getting_started/demo_getting_started.ipynb) +[Getting Started](../demo_notebooks/demo_getting_started.ipynb) to load a vehicle, run a simulation, and inspect the results. diff --git a/docs/myst.yml b/docs/myst.yml index 72aea6cbf..2921d5fbd 100644 --- a/docs/myst.yml +++ b/docs/myst.yml @@ -61,9 +61,9 @@ project: - title: Developers children: - file: content/developers/environment-setup.md - - file: content/developers/compilation-from-source.md - - file: content/developers/release-process.md - - file: content/developers/how-to-update.md + - file: content/developers/compiling-from-source.md + - file: content/developers/making-releases.md + - file: content/developers/updating-docs.md - url: https://docs.rs/fastsim-core/latest/fastsim_core/ title: Rust API Documentation - url: https://github.com/NatLabRockies/fastsim/releases From 28faaf2310ddce9d4df6862675667e349b3cc3d5 Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Fri, 10 Jul 2026 10:18:57 -0600 Subject: [PATCH 12/67] link to DriveCAT --- docs/demo_notebooks/demo_drive_cycle.ipynb | 5 ++++- docs/demo_scripts/demo_drive_cycle.py | 3 +++ 2 files changed, 7 insertions(+), 1 deletion(-) diff --git a/docs/demo_notebooks/demo_drive_cycle.ipynb b/docs/demo_notebooks/demo_drive_cycle.ipynb index 74f8eab86..fd28051ad 100644 --- a/docs/demo_notebooks/demo_drive_cycle.ipynb +++ b/docs/demo_notebooks/demo_drive_cycle.ipynb @@ -26,7 +26,10 @@ "cycle used to evaluate highway fuel economy.\n", "\n", "For more information on HWFET and other regulatory drive cycles, see: \n", - "https://www.epa.gov/vehicle-and-fuel-emissions-testing/dynamometer-drive-schedules" + "https://www.epa.gov/vehicle-and-fuel-emissions-testing/dynamometer-drive-schedules\n", + "\n", + "The NLR DriveCAT page has a variety of cycles available for download as well: \n", + "https://www.nlr.gov/transportation/drive-cycle-tool" ] }, { diff --git a/docs/demo_scripts/demo_drive_cycle.py b/docs/demo_scripts/demo_drive_cycle.py index 8333e8725..879f89ab3 100644 --- a/docs/demo_scripts/demo_drive_cycle.py +++ b/docs/demo_scripts/demo_drive_cycle.py @@ -18,6 +18,9 @@ For more information on HWFET and other regulatory drive cycles, see: https://www.epa.gov/vehicle-and-fuel-emissions-testing/dynamometer-drive-schedules + +The NLR DriveCAT page has a variety of cycles available for download as well: +https://www.nlr.gov/transportation/drive-cycle-tool """ # %% import fastsim From 9713160b3e4a54e5f60215e326f6cc27cdb2e1a9 Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Fri, 10 Jul 2026 10:33:29 -0600 Subject: [PATCH 13/67] delete old dev instructions --- docs/content/deleteme/developers.md | 70 ---------------------- docs/content/developers/making-releases.md | 2 + 2 files changed, 2 insertions(+), 70 deletions(-) delete mode 100644 docs/content/deleteme/developers.md diff --git a/docs/content/deleteme/developers.md b/docs/content/deleteme/developers.md deleted file mode 100644 index 871dcf47e..000000000 --- a/docs/content/deleteme/developers.md +++ /dev/null @@ -1,70 +0,0 @@ -# How to compile/test Rust code - -## cargo build -`cargo build` will not compile when run in `/rust` due to problems compiling `/rust/fastsim-py`. -`cargo build` should compile when run in the `/rust/fastsim-core`. - -## cargo test -`cargo test` should compile when run in /rust because there are no tests in `/rust/fastsim-py`. - -## build_and_test.sh -Running `sh build_and_test.sh` from the root fastsim directory compile/tests the Rust code, and tests the Python code. It should compile without errors. - - -# Releasing -## Incrementing the Version Number -Increment the 3rd decimal place in the version number for small changes (e.g. -minor bug fixes, new variables), the 2nd for medium changes (e.g. new methods -or classes), and the 1st for large changes (e.g. changes to the interface that -might affect backwards compatibility / the API interface). - -## Instructions -1. Create and check out a new branch, e.g. for version X.X.X: - ``` - git checkout -b fastsim-X.X.X - ``` -1. Update the version number in the `pyproject.toml` file -1. If changes have happened in `rust/`, increment the Rust crate version numbers in `rust/fastsim-core/Cargo.toml` and `rust/fastsim-core/fastsim-proc-macros/Cargo.toml` -1. Commit changes, as appropriate: - ``` - git add pyproject.toml README.md rust/fastsim-core/Cargo.toml rust/fastsim-core/fastsim-proc-macros/Cargo.toml - ``` - ``` - git commit -m "vX.X.X" - ``` -1. Tag the commit with the new version number, prepended with a `v`: - ``` - git tag vX.X.X - ``` - Or, optionally, you can also add a tag message with the `-m` flag, for example: - ``` - git tag vX.X.X -m "release version X.X.X" - ``` -1. Push the commit to the GitHub.com repository (for Git remote setup instructions, see [this page](https://github.nrel.gov/MBAP/fastsim/wiki/Setting-up-FASTSim-Git-remotes-for-development)): - ``` - git push -u external fastsim-X.X.X - ``` -1. Push the tag: - ``` - git push external vX.X.X - ``` - This will start the `wheels.yaml` GitHub Actions workflow and run all tests -1. Create a PR for the new version in the external repository, using the `release` label for organization -1. When all tests pass, and a review has been completed, merge the PR -1. If changes were made in `rust/`, publish the crates (you must be listed as an owner of both crates on crates.io): - If necessary, log into crates.io first after adding and verifying your email at https://crates.io/settings/profile: - ```sh - cargo login - ``` - Then, run these commands to update the crates (order matters): - ```sh - (cd rust/fastsim-core/fastsim-proc-macros && cargo publish) - (cd rust/fastsim-core && cargo publish) - ``` -1. Start a new release at https://github.com/NatLabRockies/fastsim/releases/new, selecting `vX.X.X` as both the tag and the release name. Click "Generate release notes" to automatically create a detailed change log. -1. Click "Publish release". Wheels will then be built for various platforms and automatically uploaded to the PyPI at https://pypi.org/project/fastsim/. **Check that the release workflow finished properly at https://github.com/NatLabRockies/fastsim/actions/workflows/release.yaml!** -1. Synchronize changes to the internal GitHub repository: - ``` - git pull external fastsim-2 - git push origin fastsim-2 - ``` diff --git a/docs/content/developers/making-releases.md b/docs/content/developers/making-releases.md index 646cd8756..78a352208 100644 --- a/docs/content/developers/making-releases.md +++ b/docs/content/developers/making-releases.md @@ -10,6 +10,8 @@ - `fastsim-core/fastsim-proc-macros/Cargo.toml` - `fastsim-py/Cargo.toml` + Commit these changes via git + 1. Tag the latest commit with your version number and push ``` From 014170284c0aa705295e6dc3dea1ace52d0268d8 Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Mon, 13 Jul 2026 18:41:42 -0600 Subject: [PATCH 14/67] finish vehicle hierarchy page --- docs/content/vehicle.md | 943 ++++++++++++++++++++++++++++++++++++++-- 1 file changed, 898 insertions(+), 45 deletions(-) diff --git a/docs/content/vehicle.md b/docs/content/vehicle.md index a1d594041..163e28f2c 100644 --- a/docs/content/vehicle.md +++ b/docs/content/vehicle.md @@ -5,7 +5,7 @@ A vehicle model is a structured representation of the physical parameters of a r FASTSim's vehicle model is a hierarchy of components: -::::::{dropdown} Vehicle +::::::::{dropdown} Vehicle :open: - Total vehicle mass* `mass_kilograms` @@ -13,26 +13,788 @@ FASTSim's vehicle model is a hierarchy of components: - constant value for whole drive cycle - e.g. 600 W -::::{dropdown} Powertrain type (`pt_type`) +:::::::{dropdown} Powertrain type (`pt_type`) :open: - TODO + Powertrain-specific vehicle parameters. - :::{dropdown} Conventional - TODO + One of: + - `ConventionalVehicle` / `Conv` + - `HybridElectricVehicle` / `HEV` + - `PlugInHybridElectricVehicle` / `PHEV` + - `BatteryElectricVehicle` / `BEV` + + ::::::{dropdown} ConventionalVehicle + + - Alternator efficiency `alt_eff` + - Applies to auxiliary power load + - Powertrain control `pt_cntrl` + - Used for enabling/configuring auto start-stop + - Decel fuel cutoff (DFCO) control `dfco_cntrl` + - Conventional powertrain mass* `mass_kilograms` + + :::{dropdown} Fuel storage (tank) `fs` + - Maximum power output `pwr_out_max_watts` + - Time to peak power (linear ramp for power limitation) `pwr_ramp_lag_seconds` + - Energy capacity `energy_capacity_joules` + - Fuel storage mass* `mass_kilograms` + - Optional component-level mass + - Alternatively: + - Fuel storage specific energy `specific_energy_joules_per_kilogram` ::: - :::{dropdown} Battery Electric - TODO + :::::{dropdown} Fuel converter (e.g. engine) `fc` + + - Maximum power output `pwr_out_max_watts` + - Initial power output `pwr_out_max_init_watts` + - Time to peak power (linear ramp for power limitation) `pwr_ramp_lag_seconds` + - Efficiency `eff_interp_from_pwr_out` + - Idle fuel power `pwr_idle_fuel_watts` + - Fuel converter power will only drop below this value if it is off + - FC mass* `mass_kilograms` + - Optional component-level mass + - Alternatively: + - FC specific power `specific_pwr_watts_per_kilogram` + - FC thermal model `thrml` + + ::::{dropdown} None + + Disable FC thermal model + + Examples: + + :::{dropdown} YAML + ```yaml + thrml: None + ``` + ::: + + :::{dropdown} Python dictionary + ```python + { + ... + 'therml': 'None', + ... + } + ``` + ::: + :::: + + ::::{dropdown} FuelConverterThermal + + Lumped thermal capacitance FC model + + - Fuel converter thermal capacitance `heat_capacitance_joules_per_kelvin` + - Characteristic length `length_for_convection_meters` + - Heat transfer coefficient to ambient when vehicle is stopped `htc_to_amb_stop_watts_per_square_meter_kelvin` + - Heat transfer coefficient between adiabatic flame temperature and fuel converter temperature `conductance_from_comb_watts_per_kelvin` + - Max fraction of combustion heat that goes to fuel converter thermal mass `max_frac_from_comb` + - Temperature at which thermostat starts to open `tstat_te_sto_kelvin` + - Temperature delta over which thermostat is partially open `tstat_te_delta_kelvin` + - Thermostat model `tstat_interp` + - Ratio of active heat rejection from radiator to passive heat rejection `radiator_effectiveness` + - Always greater than 1 + - Impact of temperature on efficiency `fc_eff_model` + + Examples: + + :::{dropdown} YAML + ```yaml + thrml: + FuelConverterThermal: + heat_capacitance_joules_per_kelvin: 72132.17831078888 + length_for_convection_meters: 0.5427107485587468 + htc_to_amb_stop_watts_per_square_meter_kelvin: 60.7820169953251 + conductance_from_comb_watts_per_kelvin: 2178.965385428629 + max_frac_from_comb: 0.5 + tstat_te_sto_kelvin: 358.15 + tstat_te_delta_kelvin: 5.0 + tstat_interp: + data: + grid: + - v: 1 + dim: + - 2 + data: + - 85.0 + - 90.0 + values: + v: 1 + dim: + - 2 + data: + - 0.0 + - 1.0 + strategy: Linear + extrapolate: Clamp + radiator_effectiveness: 168.06311964877182 + fc_eff_model: + Exponential: + offset: 320.1873803210462 + lag: 24.998774179607892 + minimum: 0.1927168135089094 + state: + i: 0 + te_adiabatic_kelvin: 3153.8328742654194 + temperature_kelvin: 295.15 + tstat_open_frac: 0.0 + htc_to_amb_watts_per_square_meter_kelvin: 0.0 + pwr_thrml_to_amb_watts: 0.0 + energy_thrml_to_amb_joules: 0.0 + eff_coeff: 1.0 + pwr_thrml_fc_to_cab_watts: 0.0 + energy_thrml_fc_to_cab_joules: 0.0 + pwr_fuel_as_heat_watts: 0.0 + energy_fuel_as_heat_joules: 0.0 + pwr_thrml_to_tm_watts: 0.0 + energy_thrml_to_tm_joules: 0.0 + history: + i: [] + te_adiabatic_kelvin: [] + temperature_kelvin: [] + tstat_open_frac: [] + htc_to_amb_watts_per_square_meter_kelvin: [] + pwr_thrml_to_amb_watts: [] + energy_thrml_to_amb_joules: [] + eff_coeff: [] + pwr_thrml_fc_to_cab_watts: [] + energy_thrml_fc_to_cab_joules: [] + pwr_fuel_as_heat_watts: [] + energy_fuel_as_heat_joules: [] + pwr_thrml_to_tm_watts: [] + energy_thrml_to_tm_joules: [] + save_interval: 1 + ``` + ::: + + :::{dropdown} Python dictionary + ```python + { + ... + 'thrml': { + 'FuelConverterThermal': { + 'heat_capacitance_joules_per_kelvin': 72132.17831078888, + 'length_for_convection_meters': 0.5427107485587468, + 'htc_to_amb_stop_watts_per_square_meter_kelvin': 60.7820169953251, + 'conductance_from_comb_watts_per_kelvin': 2178.965385428629, + 'max_frac_from_comb': 0.5, + 'tstat_te_sto_kelvin': 358.15, + 'tstat_te_delta_kelvin': 5.0, + 'tstat_interp': { + 'data': { + 'grid': [{ + 'v': 1, + 'dim': [2], + 'data': [85.0, 90.0] + }], + 'values': { + 'v': 1, + 'dim': [2], + 'data': [0.0, 1.0] + }}, + 'strategy': 'Linear', + 'extrapolate': 'Clamp' + }, + 'radiator_effectiveness': 168.06311964877182, + 'fc_eff_model': { + 'Exponential': { + 'offset': 320.1873803210462, + 'lag': 24.998774179607892, + 'minimum': 0.1927168135089094 + } + }, + 'state': { + 'i': 0, + 'te_adiabatic_kelvin': 3153.8328742654194, + 'temperature_kelvin': 295.15, + 'tstat_open_frac': 0.0, + 'htc_to_amb_watts_per_square_meter_kelvin': 0.0, + 'pwr_thrml_to_amb_watts': 0.0, + 'energy_thrml_to_amb_joules': 0.0, + 'eff_coeff': 1.0, + 'pwr_thrml_fc_to_cab_watts': 0.0, + 'energy_thrml_fc_to_cab_joules': 0.0, + 'pwr_fuel_as_heat_watts': 0.0, + 'energy_fuel_as_heat_joules': 0.0, + 'pwr_thrml_to_tm_watts': 0.0, + 'energy_thrml_to_tm_joules': 0.0 + }, + 'history': { + 'i': [], + 'te_adiabatic_kelvin': [], + 'temperature_kelvin': [], + 'tstat_open_frac': [], + 'htc_to_amb_watts_per_square_meter_kelvin': [], + 'pwr_thrml_to_amb_watts': [], + 'energy_thrml_to_amb_joules': [], + 'eff_coeff': [], + 'pwr_thrml_fc_to_cab_watts': [], + 'energy_thrml_fc_to_cab_joules': [], + 'pwr_fuel_as_heat_watts': [], + 'energy_fuel_as_heat_joules': [], + 'pwr_thrml_to_tm_watts': [], + 'energy_thrml_to_tm_joules': [] + }, + 'save_interval': 1 + } + }, + ... + } + ``` + ::: + :::: + ::::: + + + :::{dropdown} Transmission `transmission` + - Efficiency `eff_interp` + - Transmission mass* `mass` ::: + + + :::::: + + + ::::::{dropdown} HybridElectricVehicle & PlugInHybridElectricVehicle + + - Powertrain control `pt_cntrl` + - Used for enabling/configuring auto start-stop + - Decel fuel cutoff (DFCO) control `dfco_cntrl` + - Auxiliary power load control `aux_cntrl` + - Configures whether auxiliary power should come from `res` or `fc` first + - HEV/PHEV-specific simulation parameters `sim_params` + - HEV/PHEV powertrain mass* `mass_kilograms` + + :::::{dropdown} Reversible Energy Storage (traction battery) `res` + + - Maximum power output `pwr_out_max_watts` + - Energy capacity `energy_capacity_joules` + - Maximum power output `pwr_out_max_watts` + - Efficiency `eff_interp` + - One of: + - `Constant`(float) + - `CRate` + - `CRateSOCTemperature` + - `CRateTemperature` + - `CRateSOC` + - Minimum state of charge `min_soc` + - Maximum state of charge `max_soc` + - RES mass* `mass_kilograms` + - Optional component-level mass + - Alternatively: + - RES specific energy `specific_energy_joules_per_kilogram` + - RES thermal model `thrml` + + ::::{dropdown} None + + Disable RES thermal model + + Examples: + + :::{dropdown} YAML + ```yaml + thrml: None + ``` + ::: - :::{dropdown} Hybrid Electric - TODO + :::{dropdown} Python dictionary + ```python + { + ... + 'therml': 'None', + ... + } + ``` + ::: + :::: + + ::::{dropdown} RESLumpedThermal + + Lumped thermal capacitance RES model + + - Thermal capacitance `heat_capacitance_joules_per_kelvin` + - Heat transfer coefficient from RES to ambient `conductance_to_amb_watts_per_kelvin` + - Heat transfer coefficient from RES to cabin `conductance_to_cab_watts_per_kelvin` + + Examples: + + :::{dropdown} YAML + ```yaml + thrml: + RESLumpedThermal: + heat_capacitance_joules_per_kelvin: 200000.0 + conductance_to_amb_watts_per_kelvin: 0.1 + conductance_to_cab_watts_per_kelvin: 0.5 + state: + i: 0 + temperature_kelvin: 295.15 + temp_prev_kelvin: 295.15 + pwr_thrml_from_cabin_watts: 0.0 + energy_thrml_from_cabin_joules: 0.0 + pwr_thrml_from_amb_watts: 0.0 + energy_thrml_from_amb_joules: 0.0 + pwr_thrml_hvac_to_res_watts: 0.0 + energy_thrml_hvac_to_res_joules: 0.0 + pwr_thrml_loss_watts: 0.0 + energy_thrml_loss_joules: 0.0 + history: + i: [] + temperature_kelvin: [] + temp_prev_kelvin: [] + pwr_thrml_from_cabin_watts: [] + energy_thrml_from_cabin_joules: [] + pwr_thrml_from_amb_watts: [] + energy_thrml_from_amb_joules: [] + pwr_thrml_hvac_to_res_watts: [] + energy_thrml_hvac_to_res_joules: [] + pwr_thrml_loss_watts: [] + energy_thrml_loss_joules: [] + save_interval: 1 + ``` + ::: + + :::{dropdown} Python dictionary + ```python + { + ... + 'thrml': { + 'RESLumpedThermal': { + 'heat_capacitance_joules_per_kelvin': 200000.0, + 'conductance_to_amb_watts_per_kelvin': 0.1, + 'conductance_to_cab_watts_per_kelvin': 0.5, + 'state': { + 'i': 0, + 'temperature_kelvin': 295.15, + 'temp_prev_kelvin': 295.15, + 'pwr_thrml_from_cabin_watts': 0.0, + 'energy_thrml_from_cabin_joules': 0.0, + 'pwr_thrml_from_amb_watts': 0.0, + 'energy_thrml_from_amb_joules': 0.0, + 'pwr_thrml_hvac_to_res_watts': 0.0, + 'energy_thrml_hvac_to_res_joules': 0.0, + 'pwr_thrml_loss_watts': 0.0, + 'energy_thrml_loss_joules': 0.0 + }, + 'history': { + 'i': [], + 'temperature_kelvin': [], + 'temp_prev_kelvin': [], + 'pwr_thrml_from_cabin_watts': [], + 'energy_thrml_from_cabin_joules': [], + 'pwr_thrml_from_amb_watts': [], + 'energy_thrml_from_amb_joules': [], + 'pwr_thrml_hvac_to_res_watts': [], + 'energy_thrml_hvac_to_res_joules': [], + 'pwr_thrml_loss_watts': [], + 'energy_thrml_loss_joules': [] + }, + 'save_interval': 1 + } + }, + ... + } + ``` + ::: + :::: + ::::: + + + :::{dropdown} Fuel storage (tank) `fs` + - Maximum power output `pwr_out_max_watts` + - Time to peak power (linear ramp for power limitation) `pwr_ramp_lag_seconds` + - Energy capacity `energy_capacity_joules` + - Fuel storage mass* `mass_kilograms` + - Optional component-level mass + - Alternatively: + - Fuel storage specific energy `specific_energy_joules_per_kilogram` ::: - :::{dropdown} Plug-in Hybrid Electric - TODO + + :::::{dropdown} Fuel converter (e.g. engine) `fc` + + - Maximum power output `pwr_out_max_watts` + - Initial power output `pwr_out_max_init_watts` + - Time to peak power (linear ramp for power limitation) `pwr_ramp_lag_seconds` + - Efficiency `eff_interp_from_pwr_out` + - Idle fuel power `pwr_idle_fuel_watts` + - Fuel converter power will only drop below this value if it is off + - FC mass* `mass_kilograms` + - Optional component-level mass + - Alternatively: + - FC specific power `specific_pwr_watts_per_kilogram` + - FC thermal model `thrml` + + ::::{dropdown} None + + Disable FC thermal model + + Examples: + + :::{dropdown} YAML + ```yaml + thrml: None + ``` + ::: + + :::{dropdown} Python dictionary + ```python + { + ... + 'therml': 'None', + ... + } + ``` + ::: + :::: + + ::::{dropdown} FuelConverterThermal + + Lumped thermal capacitance FC model + + - Fuel converter thermal capacitance `heat_capacitance_joules_per_kelvin` + - Characteristic length `length_for_convection_meters` + - Heat transfer coefficient to ambient when vehicle is stopped `htc_to_amb_stop_watts_per_square_meter_kelvin` + - Heat transfer coefficient between adiabatic flame temperature and fuel converter temperature `conductance_from_comb_watts_per_kelvin` + - Max fraction of combustion heat that goes to fuel converter thermal mass `max_frac_from_comb` + - Temperature at which thermostat starts to open `tstat_te_sto_kelvin` + - Temperature delta over which thermostat is partially open `tstat_te_delta_kelvin` + - Thermostat model `tstat_interp` + - Ratio of active heat rejection from radiator to passive heat rejection `radiator_effectiveness` + - Always greater than 1 + - Impact of temperature on efficiency `fc_eff_model` + + Examples: + + :::{dropdown} YAML + ```yaml + thrml: + FuelConverterThermal: + heat_capacitance_joules_per_kelvin: 72132.17831078888 + length_for_convection_meters: 0.5427107485587468 + htc_to_amb_stop_watts_per_square_meter_kelvin: 60.7820169953251 + conductance_from_comb_watts_per_kelvin: 2178.965385428629 + max_frac_from_comb: 0.5 + tstat_te_sto_kelvin: 358.15 + tstat_te_delta_kelvin: 5.0 + tstat_interp: + data: + grid: + - v: 1 + dim: + - 2 + data: + - 85.0 + - 90.0 + values: + v: 1 + dim: + - 2 + data: + - 0.0 + - 1.0 + strategy: Linear + extrapolate: Clamp + radiator_effectiveness: 168.06311964877182 + fc_eff_model: + Exponential: + offset: 320.1873803210462 + lag: 24.998774179607892 + minimum: 0.1927168135089094 + state: + i: 0 + te_adiabatic_kelvin: 3153.8328742654194 + temperature_kelvin: 295.15 + tstat_open_frac: 0.0 + htc_to_amb_watts_per_square_meter_kelvin: 0.0 + pwr_thrml_to_amb_watts: 0.0 + energy_thrml_to_amb_joules: 0.0 + eff_coeff: 1.0 + pwr_thrml_fc_to_cab_watts: 0.0 + energy_thrml_fc_to_cab_joules: 0.0 + pwr_fuel_as_heat_watts: 0.0 + energy_fuel_as_heat_joules: 0.0 + pwr_thrml_to_tm_watts: 0.0 + energy_thrml_to_tm_joules: 0.0 + history: + i: [] + te_adiabatic_kelvin: [] + temperature_kelvin: [] + tstat_open_frac: [] + htc_to_amb_watts_per_square_meter_kelvin: [] + pwr_thrml_to_amb_watts: [] + energy_thrml_to_amb_joules: [] + eff_coeff: [] + pwr_thrml_fc_to_cab_watts: [] + energy_thrml_fc_to_cab_joules: [] + pwr_fuel_as_heat_watts: [] + energy_fuel_as_heat_joules: [] + pwr_thrml_to_tm_watts: [] + energy_thrml_to_tm_joules: [] + save_interval: 1 + ``` + ::: + + :::{dropdown} Python dictionary + ```python + { + ... + 'thrml': { + 'FuelConverterThermal': { + 'heat_capacitance_joules_per_kelvin': 72132.17831078888, + 'length_for_convection_meters': 0.5427107485587468, + 'htc_to_amb_stop_watts_per_square_meter_kelvin': 60.7820169953251, + 'conductance_from_comb_watts_per_kelvin': 2178.965385428629, + 'max_frac_from_comb': 0.5, + 'tstat_te_sto_kelvin': 358.15, + 'tstat_te_delta_kelvin': 5.0, + 'tstat_interp': { + 'data': { + 'grid': [{ + 'v': 1, + 'dim': [2], + 'data': [85.0, 90.0] + }], + 'values': { + 'v': 1, + 'dim': [2], + 'data': [0.0, 1.0] + }}, + 'strategy': 'Linear', + 'extrapolate': 'Clamp' + }, + 'radiator_effectiveness': 168.06311964877182, + 'fc_eff_model': { + 'Exponential': { + 'offset': 320.1873803210462, + 'lag': 24.998774179607892, + 'minimum': 0.1927168135089094 + } + }, + 'state': { + 'i': 0, + 'te_adiabatic_kelvin': 3153.8328742654194, + 'temperature_kelvin': 295.15, + 'tstat_open_frac': 0.0, + 'htc_to_amb_watts_per_square_meter_kelvin': 0.0, + 'pwr_thrml_to_amb_watts': 0.0, + 'energy_thrml_to_amb_joules': 0.0, + 'eff_coeff': 1.0, + 'pwr_thrml_fc_to_cab_watts': 0.0, + 'energy_thrml_fc_to_cab_joules': 0.0, + 'pwr_fuel_as_heat_watts': 0.0, + 'energy_fuel_as_heat_joules': 0.0, + 'pwr_thrml_to_tm_watts': 0.0, + 'energy_thrml_to_tm_joules': 0.0 + }, + 'history': { + 'i': [], + 'te_adiabatic_kelvin': [], + 'temperature_kelvin': [], + 'tstat_open_frac': [], + 'htc_to_amb_watts_per_square_meter_kelvin': [], + 'pwr_thrml_to_amb_watts': [], + 'energy_thrml_to_amb_joules': [], + 'eff_coeff': [], + 'pwr_thrml_fc_to_cab_watts': [], + 'energy_thrml_fc_to_cab_joules': [], + 'pwr_fuel_as_heat_watts': [], + 'energy_fuel_as_heat_joules': [], + 'pwr_thrml_to_tm_watts': [], + 'energy_thrml_to_tm_joules': [] + }, + 'save_interval': 1 + } + }, + ... + } + ``` + ::: + :::: + ::::: + + + :::{dropdown} Electric Machine (motor) `em` + Electric machine / motor model + + - `eff_interp_achieved` + - `eff_interp_at_max_input` + - Maximum output power `pwr_out_max_watts` + - EM mass* `mass_kilograms` + - Optional component-level mass + - Alternatively: + - EM specific power `specific_pwr_watts_per_kilogram` ::: -:::: + + + :::{dropdown} Transmission `transmission` + - Efficiency `eff_interp` + - Transmission mass* `mass` + ::: + + + :::::: + + + + ::::::{dropdown} BatteryElectricVehicle + + - BEV powertrain mass* `mass_kilograms` + + :::::{dropdown} Reversible Energy Storage (traction battery) `res` + + - Maximum power output `pwr_out_max_watts` + - Energy capacity `energy_capacity_joules` + - Maximum power output `pwr_out_max_watts` + - Efficiency `eff_interp` + - One of: + - `Constant`(float) + - `CRate` + - `CRateSOCTemperature` + - `CRateTemperature` + - `CRateSOC` + - Minimum state of charge `min_soc` + - Maximum state of charge `max_soc` + - RES mass* `mass_kilograms` + - Optional component-level mass + - Alternatively: + - RES specific energy `specific_energy_joules_per_kilogram` + - RES thermal model `thrml` + + ::::{dropdown} None + + Disable RES thermal model + + Examples: + + :::{dropdown} YAML + ```yaml + thrml: None + ``` + ::: + + :::{dropdown} Python dictionary + ```python + { + ... + 'therml': 'None', + ... + } + ``` + ::: + :::: + + ::::{dropdown} RESLumpedThermal + + Lumped thermal capacitance RES model + + - Thermal capacitance `heat_capacitance_joules_per_kelvin` + - Heat transfer coefficient from RES to ambient `conductance_to_amb_watts_per_kelvin` + - Heat transfer coefficient from RES to cabin `conductance_to_cab_watts_per_kelvin` + + Examples: + + :::{dropdown} YAML + ```yaml + thrml: + RESLumpedThermal: + heat_capacitance_joules_per_kelvin: 200000.0 + conductance_to_amb_watts_per_kelvin: 0.1 + conductance_to_cab_watts_per_kelvin: 0.5 + state: + i: 0 + temperature_kelvin: 295.15 + temp_prev_kelvin: 295.15 + pwr_thrml_from_cabin_watts: 0.0 + energy_thrml_from_cabin_joules: 0.0 + pwr_thrml_from_amb_watts: 0.0 + energy_thrml_from_amb_joules: 0.0 + pwr_thrml_hvac_to_res_watts: 0.0 + energy_thrml_hvac_to_res_joules: 0.0 + pwr_thrml_loss_watts: 0.0 + energy_thrml_loss_joules: 0.0 + history: + i: [] + temperature_kelvin: [] + temp_prev_kelvin: [] + pwr_thrml_from_cabin_watts: [] + energy_thrml_from_cabin_joules: [] + pwr_thrml_from_amb_watts: [] + energy_thrml_from_amb_joules: [] + pwr_thrml_hvac_to_res_watts: [] + energy_thrml_hvac_to_res_joules: [] + pwr_thrml_loss_watts: [] + energy_thrml_loss_joules: [] + save_interval: 1 + ``` + ::: + + :::{dropdown} Python dictionary + ```python + { + ... + 'thrml': { + 'RESLumpedThermal': { + 'heat_capacitance_joules_per_kelvin': 200000.0, + 'conductance_to_amb_watts_per_kelvin': 0.1, + 'conductance_to_cab_watts_per_kelvin': 0.5, + 'state': { + 'i': 0, + 'temperature_kelvin': 295.15, + 'temp_prev_kelvin': 295.15, + 'pwr_thrml_from_cabin_watts': 0.0, + 'energy_thrml_from_cabin_joules': 0.0, + 'pwr_thrml_from_amb_watts': 0.0, + 'energy_thrml_from_amb_joules': 0.0, + 'pwr_thrml_hvac_to_res_watts': 0.0, + 'energy_thrml_hvac_to_res_joules': 0.0, + 'pwr_thrml_loss_watts': 0.0, + 'energy_thrml_loss_joules': 0.0 + }, + 'history': { + 'i': [], + 'temperature_kelvin': [], + 'temp_prev_kelvin': [], + 'pwr_thrml_from_cabin_watts': [], + 'energy_thrml_from_cabin_joules': [], + 'pwr_thrml_from_amb_watts': [], + 'energy_thrml_from_amb_joules': [], + 'pwr_thrml_hvac_to_res_watts': [], + 'energy_thrml_hvac_to_res_joules': [], + 'pwr_thrml_loss_watts': [], + 'energy_thrml_loss_joules': [] + }, + 'save_interval': 1 + } + }, + ... + } + ``` + ::: + :::: + ::::: + + + :::{dropdown} Electric Machine (motor) `em` + Electric machine / motor model + + - `eff_interp_achieved` + - `eff_interp_at_max_input` + - Maximum output power `pwr_out_max_watts` + - EM mass* `mass_kilograms` + - Optional component-level mass + - Alternatively: + - EM specific power `specific_pwr_watts_per_kilogram` + ::: + + + :::{dropdown} Transmission `transmission` + - Efficiency `eff_interp` + - Transmission mass* `mass` + ::: + + + :::::: + +::::::: :::{dropdown} Chassis (`chassis`) @@ -67,13 +829,8 @@ Models cabin temperature, heat can flow between cabin and: - fuel converter (e.g. engine) - reversible energy storage (traction battery) -:::{note} -Optional thermal component, select `"None"` to disable -::: - - ::::{dropdown} None -Disable cabin thermal model. +Disable cabin thermal model Examples: @@ -186,15 +943,11 @@ Examples: :::::{dropdown} HVAC model (`hvac`) :open: -:::{note} -Optional thermal component, select `"None"` to disable -::: - Models HVAC behavior and related heat flow. ::::{dropdown} None -Disable HVAC thermal model. +Disable HVAC thermal model Examples: @@ -216,7 +969,7 @@ hvac: None :::: ::::{dropdown} LumpedCabin -Lumped thermal capacitance cabin model. +HVAC system for lumped thermal capacitance cabin model. Examples :::{dropdown} YAML @@ -317,39 +1070,139 @@ hvac: :::: ::::{dropdown} LumpedCabinAndRES -Lumped thermal capacitance cabin model, connected to Reversible Energy Storage (traction battery) thermal model +HVAC system for lumped thermal capacitance cabin model and Reversible Energy Storage (traction battery) thermal model Examples :::{dropdown} YAML ```yaml -TODO -``` -::: -:::{dropdown} Python dictionary -```python -TODO -``` -::: -:::: - -::::{dropdown} ReversibleEnergyStorageOnly -Reversible Energy Storage (traction battery) thermal management with no cabin thermal model - -Examples -:::{dropdown} YAML -```yaml -TODO +hvac: + LumpedCabinAndRES: + te_set_cab_kelvin: 295.15 + te_deadband_cab_kelvin: 0.5 + p_cabin_watts_per_kelvin: 881.6321317014631 + i_cabin: 34.0671708520381 + pwr_i_max_cabin_watts: 15000.0 + d_cabin: 10.0 + te_set_res_kelvin: 295.15 + te_deadband_res_kelvin: 15.0 + p_res_watts_per_kelvin: 7.776638335865715 + i_res: 1.014641941728727 + pwr_i_max_res_watts: 15000.0 + d_res: 10.0 + pwr_thrml_max_watts: 15000.0 + frac_of_ideal_cop: 0.1672948274768393 + cabin_heat_source: ResistanceHeater + res_heat_source: ResistanceHeater + res_cooling_source: HVAC + pwr_aux_for_hvac_cab_max_watts: 5000.0 + pwr_aux_for_hvac_res_max_watts: 5000.0 + save_interval: 1 ``` ::: :::{dropdown} Python dictionary ```python -TODO +{ + ... + 'hvac': { + 'LumpedCabinAndRES': { + 'te_set_cab_kelvin': 295.15, + 'te_deadband_cab_kelvin': 0.5, + 'p_cabin_watts_per_kelvin': 881.6321317014631, + 'i_cabin': 34.0671708520381, + 'pwr_i_max_cabin_watts': 15000.0, + 'd_cabin': 10.0, + 'te_set_res_kelvin': 295.15, + 'te_deadband_res_kelvin': 15.0, + 'p_res_watts_per_kelvin': 7.776638335865715, + 'i_res': 1.014641941728727, + 'pwr_i_max_res_watts': 15000.0, + 'd_res': 10.0, + 'pwr_thrml_max_watts': 15000.0, + 'frac_of_ideal_cop': 0.1672948274768393, + 'cabin_heat_source': 'ResistanceHeater', + 'res_heat_source': 'ResistanceHeater', + 'res_cooling_source': 'HVAC', + 'pwr_aux_for_hvac_cab_max_watts': 5000.0, + 'pwr_aux_for_hvac_res_max_watts': 5000.0, + 'state': { + 'i': 0, + 'pwr_p_cab_watts': 0.0, + 'energy_p_cab_joules': 0.0, + 'pwr_i_cab_watts': 0.0, + 'energy_i_cab_joules': 0.0, + 'pwr_d_cab_watts': 0.0, + 'energy_d_cab_joules': 0.0, + 'pwr_p_res_watts': 0.0, + 'energy_p_res_joules': 0.0, + 'pwr_i_res_watts': 0.0, + 'energy_i_res_joules': 0.0, + 'pwr_d_res_watts': 0.0, + 'energy_d_res_joules': 0.0, + 'cop': None, + 'te_ref_kelvin': None, + 'pwr_aux_for_cab_hvac_req_watts': 0.0, + 'pwr_thrml_to_cab_req_watts': 0.0, + 'pwr_aux_for_res_hvac_req_watts': 0.0, + 'pwr_thrml_to_res_req_watts': 0.0, + 'pwr_aux_for_cab_hvac_watts': 0.0, + 'energy_aux_for_cab_hvac_joules': 0.0, + 'pwr_aux_for_res_hvac_watts': 0.0, + 'energy_aux_for_res_hvac_joules': 0.0, + 'pwr_thrml_hvac_to_cabin_watts': 0.0, + 'energy_thrml_hvac_to_cabin_joules': 0.0, + 'pwr_thrml_fc_to_cabin_watts': 0.0, + 'energy_thrml_fc_to_cabin_joules': 0.0, + 'pwr_thrml_hvac_to_res_watts': 0.0, + 'energy_thrml_hvac_to_res_joules': 0.0, + 'te_ref_component': 'None', + 'cabin_mode': 'Inactive', + 'res_mode': 'Inactive' + }, + 'history': { + 'i': [], + 'pwr_p_cab_watts': [], + 'energy_p_cab_joules': [], + 'pwr_i_cab_watts': [], + 'energy_i_cab_joules': [], + 'pwr_d_cab_watts': [], + 'energy_d_cab_joules': [], + 'pwr_p_res_watts': [], + 'energy_p_res_joules': [], + 'pwr_i_res_watts': [], + 'energy_i_res_joules': [], + 'pwr_d_res_watts': [], + 'energy_d_res_joules': [], + 'cop': [], + 'te_ref_kelvin': [], + 'pwr_aux_for_cab_hvac_req_watts': [], + 'pwr_thrml_to_cab_req_watts': [], + 'pwr_aux_for_res_hvac_req_watts': [], + 'pwr_thrml_to_res_req_watts': [], + 'pwr_aux_for_cab_hvac_watts': [], + 'energy_aux_for_cab_hvac_joules': [], + 'pwr_aux_for_res_hvac_watts': [], + 'energy_aux_for_res_hvac_joules': [], + 'pwr_thrml_hvac_to_cabin_watts': [], + 'energy_thrml_hvac_to_cabin_joules': [], + 'pwr_thrml_fc_to_cabin_watts': [], + 'energy_thrml_fc_to_cabin_joules': [], + 'pwr_thrml_hvac_to_res_watts': [], + 'energy_thrml_hvac_to_res_joules': [], + 'te_ref_component': [], + 'cabin_mode': [], + 'res_mode': [] + }, + 'save_interval': 1 + } + }, + ... +} ``` ::: :::: - -:::::: + +:::::::: --- From cb34c0bcbebcb31129c8ff30499166fbaad0a876 Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Mon, 13 Jul 2026 23:23:12 -0600 Subject: [PATCH 15/67] label_fe to ipynb --- .../demo_notebooks/demo_getting_started.ipynb | 17 ++++++---- docs/demo_notebooks/demo_label_fe.ipynb | 32 +++++++++++++++++++ docs/demo_scripts/demo_getting_started.py | 17 ++++++---- docs/demo_scripts/demo_label_fe.py | 3 ++ docs/myst.yml | 2 +- 5 files changed, 56 insertions(+), 15 deletions(-) create mode 100644 docs/demo_notebooks/demo_label_fe.ipynb create mode 100644 docs/demo_scripts/demo_label_fe.py diff --git a/docs/demo_notebooks/demo_getting_started.ipynb b/docs/demo_notebooks/demo_getting_started.ipynb index 28e9cb2e3..4b20172b0 100644 --- a/docs/demo_notebooks/demo_getting_started.ipynb +++ b/docs/demo_notebooks/demo_getting_started.ipynb @@ -18,12 +18,15 @@ "\n", "A FASTSim simulation is built on three main components:\n", "\n", - "- Vehicle (`veh`): A Python object defining the powertrain (e.g.,\n", - " Conventional, HEV, EV), mass, drag, and component efficiencies.\n", - "- Drive Cycle (`cyc`): A velocity vs. time profile (standard EPA cycles like\n", - " UDDS/HWFET or custom GPS data).\n", - "- Simulation (`SimDrive`): The solver that calculates the power balance and\n", - " energy consumption at every time step." + "- `fastsim.Vehicle`: An object defining the vehicle's physical specifications,\n", + " including the powertrain configuration, mass, aerodynamic drag, component efficiencies, and more.\n", + "- `fastsim.Cycle`: A drive cycle, essentially a velocity vs. time profile\n", + " (e.g. EPA regulatory cycles such as UDDS/HWFET, or custom telematics-derived data).\n", + " Drive cycles define how the vehicle moves and the conditions under which it operates.\n", + "- `fastsim.SimDrive`: The solver that combines a `Vehicle` and a `Cycle`,\n", + " calculating the flow of power and energy consumption at every time step.\n", + "\n", + "The line below imports FASTSim in Python:" ] }, { @@ -287,7 +290,7 @@ "which is how vehicles are actually tested to measure fuel economy. The EPA\n", "applies a set of \"downward adjustments\" (often around 10-30%) to laboratory\n", "results to better reflect real-world driving for the window sticker. See\n", - "[Comparing Simulations to Label Fuel Economy](../content/label-fuel-economy.md)\n", + "[Comparing Simulations to Label Fuel Economy](../demo_notebooks/demo_label_fe.ipynb)\n", "for how FASTSim reproduces window sticker values.\n", "\n", "## Modifying Vehicle Parameters\n", diff --git a/docs/demo_notebooks/demo_label_fe.ipynb b/docs/demo_notebooks/demo_label_fe.ipynb new file mode 100644 index 000000000..5088c25b9 --- /dev/null +++ b/docs/demo_notebooks/demo_label_fe.ipynb @@ -0,0 +1,32 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "cell-0", + "metadata": {}, + "source": [ + "# Comparing Simulations to Label Fuel Economy" + ] + }, + { + "cell_type": "markdown", + "id": "cell-1", + "metadata": {}, + "source": [ + "*Source: `fastsim/docs/demo_scripts/demo_label_fe.py`*" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "name": "python" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/demo_scripts/demo_getting_started.py b/docs/demo_scripts/demo_getting_started.py index 5cb2008c5..04e021a9b 100644 --- a/docs/demo_scripts/demo_getting_started.py +++ b/docs/demo_scripts/demo_getting_started.py @@ -12,12 +12,15 @@ A FASTSim simulation is built on three main components: -- Vehicle (`veh`): A Python object defining the powertrain (e.g., - Conventional, HEV, EV), mass, drag, and component efficiencies. -- Drive Cycle (`cyc`): A velocity vs. time profile (standard EPA cycles like - UDDS/HWFET or custom GPS data). -- Simulation (`SimDrive`): The solver that calculates the power balance and - energy consumption at every time step. +- `fastsim.Vehicle`: An object defining the vehicle's physical specifications, + including the powertrain configuration, mass, aerodynamic drag, component efficiencies, and more. +- `fastsim.Cycle`: A drive cycle, essentially a velocity vs. time profile + (e.g. EPA regulatory cycles such as UDDS/HWFET, or custom telematics-derived data). + Drive cycles define how the vehicle moves and the conditions under which it operates. +- `fastsim.SimDrive`: The solver that combines a `Vehicle` and a `Cycle`, + calculating the flow of power and energy consumption at every time step. + +The line below imports FASTSim in Python: """ # %% @@ -171,7 +174,7 @@ def mpg_from_sim(sd) -> float: which is how vehicles are actually tested to measure fuel economy. The EPA applies a set of "downward adjustments" (often around 10-30%) to laboratory results to better reflect real-world driving for the window sticker. See -[Comparing Simulations to Label Fuel Economy](../content/label-fuel-economy.md) +[Comparing Simulations to Label Fuel Economy](../demo_notebooks/demo_label_fe.ipynb) for how FASTSim reproduces window sticker values. ## Modifying Vehicle Parameters diff --git a/docs/demo_scripts/demo_label_fe.py b/docs/demo_scripts/demo_label_fe.py new file mode 100644 index 000000000..41daf63e4 --- /dev/null +++ b/docs/demo_scripts/demo_label_fe.py @@ -0,0 +1,3 @@ +""" +# Comparing Simulations to Label Fuel Economy +""" diff --git a/docs/myst.yml b/docs/myst.yml index 2921d5fbd..6316865ba 100644 --- a/docs/myst.yml +++ b/docs/myst.yml @@ -25,7 +25,7 @@ project: children: - file: content/simdrive.md - file: content/editing-sim-params.md - - file: content/label-fuel-economy.md + - file: demo_notebooks/demo_label_fe.ipynb # - file: content/label-fe.md # - title: Demos # children: From 933eb1558a383f50dc0d616415ab8a457b58fb95 Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Mon, 13 Jul 2026 23:40:57 -0600 Subject: [PATCH 16/67] remove demo scripts, refactor as jupyter notebooks instead. we can test using pytest --nbmake (which is set to run by default in pyproject.toml with parallelization - you may need to reinstall dev dependencies before use) --- docs/content/advanced_coasting.ipynb | 188 + docs/content/basic_coasting.ipynb | 186 + docs/content/bev.ipynb | 333 ++ docs/content/bev_thrml_cs_ca.ipynb | 253 ++ docs/content/bev_thrml_ws_ca.ipynb | 254 ++ docs/content/bev_thrml_ws_wa.ipynb | 254 ++ docs/content/coast_with_grade.ipynb | 197 + docs/content/conv.ipynb | 341 ++ docs/content/cruise_and_coast.ipynb | 206 + docs/content/developers/updating-docs.md | 45 +- docs/content/dfco.ipynb | 296 ++ docs/content/drive_cycle.ipynb | 1172 +++++ docs/content/eco_cruise.ipynb | 191 + docs/content/getting_started.ipynb | 3797 +++++++++++++++++ docs/content/hev.ipynb | 529 +++ docs/content/hev_thrml_cs_ca.ipynb | 300 ++ docs/content/hev_thrml_ws_ca.ipynb | 303 ++ docs/content/hev_thrml_ws_wa.ipynb | 301 ++ .../label_fe.ipynb} | 8 - docs/content/maneuver_intro.ipynb | 283 ++ docs/content/microtrips.ipynb | 148 + docs/{demo_scripts => content}/plot_utils.py | 0 docs/content/stop_start.ipynb | 708 +++ docs/content/trace_miss.ipynb | 266 ++ .../vehicle.ipynb} | 8 - .../demo_advanced_coasting.ipynb | 166 - docs/demo_notebooks/demo_basic_coasting.ipynb | 164 - docs/demo_notebooks/demo_bev.ipynb | 299 -- .../demo_notebooks/demo_bev_thrml_cs_ca.ipynb | 197 - .../demo_notebooks/demo_bev_thrml_sweep.ipynb | 471 -- .../demo_notebooks/demo_bev_thrml_ws_ca.ipynb | 198 - .../demo_notebooks/demo_bev_thrml_ws_wa.ipynb | 198 - .../demo_coast_with_grade.ipynb | 175 - docs/demo_notebooks/demo_conv.ipynb | 307 -- .../demo_cruise_and_coast.ipynb | 184 - docs/demo_notebooks/demo_dfco.ipynb | 274 -- docs/demo_notebooks/demo_drive_cycle.ipynb | 280 -- docs/demo_notebooks/demo_eco_cruise.ipynb | 169 - .../demo_notebooks/demo_getting_started.ipynb | 400 -- docs/demo_notebooks/demo_hev.ipynb | 473 -- .../demo_notebooks/demo_hev_thrml_cs_ca.ipynb | 210 - .../demo_notebooks/demo_hev_thrml_ws_ca.ipynb | 213 - .../demo_notebooks/demo_hev_thrml_ws_wa.ipynb | 211 - docs/demo_notebooks/demo_maneuver_intro.ipynb | 233 - docs/demo_notebooks/demo_microtrips.ipynb | 136 - docs/demo_notebooks/demo_stop_start.ipynb | 654 --- docs/demo_notebooks/demo_trace_miss.ipynb | 232 - docs/demo_scripts/demo_advanced_coasting.py | 83 - docs/demo_scripts/demo_basic_coasting.py | 81 - docs/demo_scripts/demo_bev.py | 186 - docs/demo_scripts/demo_bev_thrml_cs_ca.py | 90 - docs/demo_scripts/demo_bev_thrml_sweep.py | 365 -- docs/demo_scripts/demo_bev_thrml_ws_ca.py | 91 - docs/demo_scripts/demo_bev_thrml_ws_wa.py | 91 - docs/demo_scripts/demo_coast_with_grade.py | 92 - docs/demo_scripts/demo_conv.py | 194 - docs/demo_scripts/demo_cruise_and_coast.py | 101 - docs/demo_scripts/demo_dfco.py | 182 - docs/demo_scripts/demo_drive_cycle.py | 173 - docs/demo_scripts/demo_eco_cruise.py | 86 - docs/demo_scripts/demo_getting_started.py | 239 -- docs/demo_scripts/demo_hev.py | 328 -- docs/demo_scripts/demo_hev_thrml_cs_ca.py | 96 - docs/demo_scripts/demo_hev_thrml_ws_ca.py | 99 - docs/demo_scripts/demo_hev_thrml_ws_wa.py | 97 - docs/demo_scripts/demo_label_fe.py | 3 - docs/demo_scripts/demo_maneuver_intro.py | 128 - docs/demo_scripts/demo_microtrips.py | 71 - docs/demo_scripts/demo_stop_start.py | 512 --- docs/demo_scripts/demo_trace_miss.py | 135 - docs/demo_scripts/demo_vehicle.py | 12 - docs/demo_scripts/test_demos.py | 37 - docs/demos_to_notebooks.py | 271 -- docs/myst.yml | 46 +- pixi.lock | 2044 ++++----- pyproject.toml | 12 +- 76 files changed, 11599 insertions(+), 10757 deletions(-) create mode 100644 docs/content/advanced_coasting.ipynb create mode 100644 docs/content/basic_coasting.ipynb create mode 100644 docs/content/bev.ipynb create mode 100644 docs/content/bev_thrml_cs_ca.ipynb create mode 100644 docs/content/bev_thrml_ws_ca.ipynb create mode 100644 docs/content/bev_thrml_ws_wa.ipynb create mode 100644 docs/content/coast_with_grade.ipynb create mode 100644 docs/content/conv.ipynb create mode 100644 docs/content/cruise_and_coast.ipynb create mode 100644 docs/content/dfco.ipynb create mode 100644 docs/content/drive_cycle.ipynb create mode 100644 docs/content/eco_cruise.ipynb create mode 100644 docs/content/getting_started.ipynb create mode 100644 docs/content/hev.ipynb create mode 100644 docs/content/hev_thrml_cs_ca.ipynb create mode 100644 docs/content/hev_thrml_ws_ca.ipynb create mode 100644 docs/content/hev_thrml_ws_wa.ipynb rename docs/{demo_notebooks/demo_label_fe.ipynb => content/label_fe.ipynb} (70%) create mode 100644 docs/content/maneuver_intro.ipynb create mode 100644 docs/content/microtrips.ipynb rename docs/{demo_scripts => content}/plot_utils.py (100%) create mode 100644 docs/content/stop_start.ipynb create mode 100644 docs/content/trace_miss.ipynb rename 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a/docs/content/advanced_coasting.ipynb b/docs/content/advanced_coasting.ipynb new file mode 100644 index 000000000..51241999f --- /dev/null +++ b/docs/content/advanced_coasting.ipynb @@ -0,0 +1,188 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "cell-0", + "metadata": {}, + "source": [ + "# CAVS: Advanced Coasting\n", + "\n", + "This Connected Automated Vehicle (CAV) demo configures coasting with\n", + "additional parameters: brake start speed, passing behavior, maximum coast\n", + "speed, and a look-ahead time horizon." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "cell-1", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "\n", + "import seaborn as sns\n", + "\n", + "import sys\n", + "from pathlib import Path\n", + "\n", + "sys.path.insert(0, str(next(p / \"demo_scripts\" for p in (Path.cwd(), *Path.cwd().parents) if (p / \"demo_scripts\").is_dir())))\n", + "\n", + "import fastsim as fsim\n", + "from plot_utils import plot_speed_by_time, plot_speed_by_dist" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "cell-2", + "metadata": {}, + "outputs": [], + "source": [ + "sns.set_theme()\n", + "\n", + "SHOW_PLOTS = os.environ.get(\"SHOW_PLOTS\", \"true\").lower() == \"true\"\n", + "SAVE_FIGS = os.environ.get(\"SAVE_FIGS\", \"false\").lower() == \"true\"" + ] + }, + { + "cell_type": "markdown", + "id": "cell-3", + "metadata": {}, + "source": [ + "## Setup" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "cell-4", + "metadata": {}, + "outputs": [], + "source": [ + "veh = fsim.Vehicle.from_resource(\"2012_Ford_Fusion.yaml\")\n", + "veh.set_save_interval(1)\n", + "\n", + "cyc = fsim.Cycle.from_resource(\"udds.csv\")\n", + "end_idle_duration_s = cyc.ending_idle_time_s()\n", + "cyc0 = cyc.copy()\n", + "cyc = cyc.extend_time(absolute_time_s=120.0, time_fraction=0.25)" + ] + }, + { + "cell_type": "markdown", + "id": "cell-5", + "metadata": {}, + "source": [ + "## Configure Coasting Parameters\n", + "\n", + "These parameters control when and how the vehicle coasts:\n", + "- `coast_brake_start_speed`: speed at which mechanical braking initiates during coast\n", + "- `coast_allow_passing`: whether the coasting vehicle can pass the reference trace\n", + "- `coast_max_speed`: maximum allowable speed during coast\n", + "- `coast_time_horizon_for_adjustment`: look-ahead time for considering coast opportunities" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "cell-6", + "metadata": {}, + "outputs": [], + "source": [ + "man = fsim.Maneuver.create_from(cyc, veh.copy())\n", + "d = man.to_pydict()\n", + "d[\"coast_allow\"] = True\n", + "d[\"coast_brake_start_speed_meters_per_second\"] = 8.9408 # 20 mph\n", + "d[\"coast_brake_accel_meters_per_second_squared\"] = -2.5\n", + "d[\"favor_grade_accuracy\"] = True\n", + "d[\"coast_allow_passing\"] = True\n", + "d[\"coast_max_speed_meters_per_second\"] = 33.5280 # 75 mph\n", + "d[\"coast_time_horizon_for_adjustment_seconds\"] = 120.0\n", + "man = fsim.Maneuver.from_pydict(d)\n", + "\n", + "cyc = man.apply_maneuvers()\n", + "cyc = cyc.trim_ending_idle(idle_to_keep_s=end_idle_duration_s)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "cell-7", + "metadata": {}, + "outputs": [], + "source": [ + "sd = fsim.SimDrive(veh, cyc)\n", + "sd.walk()" + ] + }, + { + "cell_type": "markdown", + "id": "cell-8", + "metadata": {}, + "source": [ + "## Results\n", + "\n", + "Original cycle speed vs. achieved speed with advanced coasting applied." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "cell-9", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "if SHOW_PLOTS:\n", + " c0 = cyc0.to_pydict()\n", + " df = sd.to_dataframe()\n", + " plot_speed_by_time(df, c0, title=\"Advanced Coasting\",\n", + " save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)\n", + " plot_speed_by_dist(df, c0, title=\"Advanced Coasting (distance)\",\n", + " save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.14.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/content/basic_coasting.ipynb b/docs/content/basic_coasting.ipynb new file mode 100644 index 000000000..b76f7dd81 --- /dev/null +++ b/docs/content/basic_coasting.ipynb @@ -0,0 +1,186 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "cell-0", + "metadata": {}, + "source": [ + "# CAVS: Basic Coasting\n", + "\n", + "This Connected Automated Vehicle (CAV) demo shows coasting behavior using\n", + "a simple speed threshold. When the vehicle reaches the threshold speed, it\n", + "coasts to a stop." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "cell-1", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "\n", + "import seaborn as sns\n", + "\n", + "import sys\n", + "from pathlib import Path\n", + "\n", + "sys.path.insert(0, str(next(p / \"demo_scripts\" for p in (Path.cwd(), *Path.cwd().parents) if (p / \"demo_scripts\").is_dir())))\n", + "\n", + "import fastsim as fsim\n", + "from plot_utils import plot_speed_by_time, plot_speed_by_dist" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "cell-2", + "metadata": {}, + "outputs": [], + "source": [ + "sns.set_theme()\n", + "\n", + "SHOW_PLOTS = os.environ.get(\"SHOW_PLOTS\", \"true\").lower() == \"true\"\n", + "SAVE_FIGS = os.environ.get(\"SAVE_FIGS\", \"false\").lower() == \"true\"" + ] + }, + { + "cell_type": "markdown", + "id": "cell-3", + "metadata": {}, + "source": [ + "## Setup\n", + "\n", + "Load a vehicle and cycle. The cycle is extended to allow extra time for\n", + "coasting delays. A copy of the original cycle is kept for comparison." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "cell-4", + "metadata": {}, + "outputs": [], + "source": [ + "coast_speed_mps = 20.0\n", + "\n", + "veh = fsim.Vehicle.from_resource(\"2012_Ford_Fusion.yaml\")\n", + "veh.set_save_interval(1)\n", + "\n", + "cyc = fsim.Cycle.from_resource(\"udds.csv\")\n", + "end_idle_duration_s = cyc.ending_idle_time_s()\n", + "cyc = cyc.extend_time(absolute_time_s=120.0, time_fraction=None)\n", + "cyc0 = cyc.copy()" + ] + }, + { + "cell_type": "markdown", + "id": "cell-5", + "metadata": {}, + "source": [ + "## Apply Coasting Maneuver\n", + "\n", + "`Maneuver` modifies the cycle based on coasting parameters. Setting\n", + "`coast_start_speed_meters_per_second` causes the vehicle to coast to a\n", + "stop whenever it reaches that speed." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "cell-6", + "metadata": {}, + "outputs": [], + "source": [ + "man = fsim.Maneuver.create_from(cyc, veh.copy())\n", + "d = man.to_pydict()\n", + "d[\"coast_allow\"] = True\n", + "d[\"coast_start_speed_meters_per_second\"] = coast_speed_mps\n", + "man = fsim.Maneuver.from_pydict(d)\n", + "\n", + "cyc = man.apply_maneuvers()\n", + "cyc = cyc.trim_ending_idle(idle_to_keep_s=end_idle_duration_s)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "cell-7", + "metadata": {}, + "outputs": [], + "source": [ + "sd = fsim.SimDrive(veh, cyc)\n", + "sd.walk()" + ] + }, + { + "cell_type": "markdown", + "id": "cell-8", + "metadata": {}, + "source": [ + "## Results\n", + "\n", + "Original cycle speed vs. achieved speed with coasting applied." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "cell-9", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "if SHOW_PLOTS:\n", + " c0 = cyc0.to_pydict()\n", + " df = sd.to_dataframe()\n", + " plot_speed_by_time(df, c0, title=f\"Coasting from {coast_speed_mps} m/s\",\n", + " save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)\n", + " plot_speed_by_dist(df, c0, title=f\"Coasting from {coast_speed_mps} m/s (distance)\",\n", + " save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.14.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/content/bev.ipynb b/docs/content/bev.ipynb new file mode 100644 index 000000000..269c7d6e9 --- /dev/null +++ b/docs/content/bev.ipynb @@ -0,0 +1,333 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "cell-0", + "metadata": {}, + "source": [ + "# Battery Electric Vehicle Demo\n", + "\n", + "This demo simulates a Battery Electric Vehicle (BEV) over a drive cycle and\n", + "visualizes the battery and road load behavior." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "cell-1", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "from pathlib import Path\n", + "\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "\n", + "import fastsim as fsim" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "cell-2", + "metadata": {}, + "outputs": [], + "source": [ + "sns.set_theme()\n", + "\n", + "# if environment var `SHOW_PLOTS=false` is set, no plots are shown\n", + "SHOW_PLOTS = os.environ.get(\"SHOW_PLOTS\", \"true\").lower() == \"true\"\n", + "# if environment var `SAVE_FIGS=true` is set, save plots\n", + "SAVE_FIGS = os.environ.get(\"SAVE_FIGS\", \"false\").lower() == \"true\"" + ] + }, + { + "cell_type": "markdown", + "id": "cell-3", + "metadata": {}, + "source": [ + "## Setup and Simulation\n", + "\n", + "Load a vehicle and drive cycle, configure per-step state recording, run the\n", + "simulation, and extract the results." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "cell-4", + "metadata": {}, + "outputs": [], + "source": [ + "# load 2022 Renault Zoe from file\n", + "veh = fsim.Vehicle.from_resource(\"2022_Renault_Zoe_ZE50_R135.yaml\")\n", + "\n", + "# Set `save_interval` at vehicle level -- cascades to all sub-components with time-varying states\n", + "veh.set_save_interval(1)\n", + "\n", + "# load cycle from file\n", + "cyc = fsim.Cycle.from_resource(\"udds.csv\")" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "cell-5", + "metadata": {}, + "outputs": [], + "source": [ + "# instantiate `SimDrive` simulation object\n", + "sd = fsim.SimDrive(veh, cyc)\n", + "sd.walk()\n", + "\n", + "df = sd.to_dataframe()\n", + "sd_dict = sd.to_pydict(flatten=True)" + ] + }, + { + "cell_type": "markdown", + "id": "cell-6", + "metadata": {}, + "source": [ + "## Visualize Results\n", + "\n", + "The following plots show battery and road load behavior over the drive cycle." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "cell-7", + "metadata": {}, + "outputs": [], + "source": [ + "def plot_res_pwr():\n", + " \"\"\"Plot reversible energy storage powers\"\"\"\n", + " fig, ax = plt.subplots(3, 1, sharex=True, figsize=(10, 8))\n", + " plt.suptitle(\"Reversible Energy Storage Power\")\n", + "\n", + " ax[0].plot(\n", + " df[\"cyc.time_seconds\"],\n", + " df[\"veh.pt_type.BEV.res.history.pwr_out_electrical_watts\"] / 1e3,\n", + " label=\"electrical out\",\n", + " )\n", + " ax[0].set_ylabel(\"RES Power [kW]\")\n", + " ax[0].legend()\n", + "\n", + " ax[1].plot(\n", + " df[\"cyc.time_seconds\"],\n", + " df[\"veh.pt_type.BEV.res.history.soc\"],\n", + " )\n", + " ax[1].set_ylabel(\"SOC\")\n", + "\n", + " ax[2].plot(\n", + " df[\"cyc.time_seconds\"],\n", + " df[\"veh.history.speed_ach_meters_per_second\"],\n", + " )\n", + " ax[2].set_xlabel(\"Time [s]\")\n", + " ax[2].set_ylabel(\"Ach Speed [m/s]\")\n", + "\n", + " plt.tight_layout()\n", + " if SAVE_FIGS:\n", + " plt.savefig(Path(\"./plots/res_pwr.svg\"))\n", + " if SHOW_PLOTS:\n", + " plt.show()\n", + "\n", + " return fig, ax" + ] + }, + { + "cell_type": "markdown", + "id": "cell-8", + "metadata": {}, + "source": [ + "Battery electrical output power and state of charge over the drive cycle." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "cell-9", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plot_res_pwr()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "cell-10", + "metadata": {}, + "outputs": [], + "source": [ + "def plot_res_energy():\n", + " \"\"\"Plot reversible energy storage energies\"\"\"\n", + " fig, ax = plt.subplots(3, 1, sharex=True, figsize=(10, 8))\n", + " plt.suptitle(\"Reversible Energy Storage Energy\")\n", + "\n", + " ax[0].plot(\n", + " df[\"cyc.time_seconds\"],\n", + " df[\"veh.pt_type.BEV.res.history.energy_out_electrical_joules\"] / 1e6,\n", + " label=\"electrical out\",\n", + " )\n", + " ax[0].set_ylabel(\"RES Energy [MJ]\")\n", + " ax[0].legend()\n", + "\n", + " ax[1].plot(\n", + " df[\"cyc.time_seconds\"],\n", + " df[\"veh.pt_type.BEV.res.history.soc\"],\n", + " )\n", + " ax[1].set_ylabel(\"SOC\")\n", + "\n", + " ax[2].plot(\n", + " df[\"cyc.time_seconds\"],\n", + " df[\"veh.history.speed_ach_meters_per_second\"],\n", + " )\n", + " ax[2].set_xlabel(\"Time [s]\")\n", + " ax[2].set_ylabel(\"Ach Speed [m/s]\")\n", + "\n", + " plt.tight_layout()\n", + " if SAVE_FIGS:\n", + " plt.savefig(Path(\"./plots/res_energy.svg\"))\n", + " if SHOW_PLOTS:\n", + " plt.show()\n", + "\n", + " return fig, ax" + ] + }, + { + "cell_type": "markdown", + "id": "cell-11", + "metadata": {}, + "source": [ + "Cumulative battery electrical output energy and state of charge over the\n", + "drive cycle." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "cell-12", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plot_res_energy()" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "cell-13", + "metadata": {}, + "outputs": [], + "source": [ + "def plot_road_loads():\n", + " \"\"\"Plot road loads\"\"\"\n", + " fig, ax = plt.subplots(2, 1, sharex=True, figsize=(10, 6))\n", + " plt.suptitle(\"Road Loads\")\n", + "\n", + " ax[0].plot(\n", + " df[\"cyc.time_seconds\"],\n", + " df[\"veh.history.pwr_drag_watts\"] / 1e3,\n", + " label=\"drag\",\n", + " )\n", + " ax[0].plot(\n", + " df[\"cyc.time_seconds\"],\n", + " df[\"veh.history.pwr_rr_watts\"] / 1e3,\n", + " label=\"rolling resistance\",\n", + " )\n", + " ax[0].set_ylabel(\"Power [kW]\")\n", + " ax[0].legend()\n", + "\n", + " ax[1].plot(\n", + " df[\"cyc.time_seconds\"],\n", + " df[\"veh.history.speed_ach_meters_per_second\"],\n", + " )\n", + " ax[1].set_xlabel(\"Time [s]\")\n", + " ax[1].set_ylabel(\"Ach. Speed [m/s]\")\n", + "\n", + " plt.tight_layout()\n", + " if SAVE_FIGS:\n", + " plt.savefig(Path(\"./plots/road_loads.svg\"))\n", + " if SHOW_PLOTS:\n", + " plt.show()\n", + "\n", + " return fig, ax" + ] + }, + { + "cell_type": "markdown", + "id": "cell-14", + "metadata": {}, + "source": [ + "Aerodynamic drag power and rolling resistance power over the drive cycle." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "cell-15", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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2dm968slHaffunTR79lxDLv7aay/Rgw/+g0cNjxgxiu65505ufb3vvt9w0Lxu3Rr6y1/+QAMHDqIf/eg8euqpx+jjj9+ne+75NfXt24+eeeYJ+uabr+jss89t83sgRB8JsAUhhjiUV8mfB2Qnk9nc9AbROzORPxeV1bX5uWCWpli5NU8CbEEQBEEQ2hRc//mlDbQ3t7zD3sXh/dPo3sunBh1kOxwOeuedN+iWW+6kmTNn888QaK9fv7bB302bNtP4Pfj97/9EiYlJXK0GZ5xxFr3++iuUl3eMHI46euONV+j22++mOXPm8e8RiG/YsD6Cr1SIJhJgC0IMcVAPsAdnB5Z/Z6bE8eeSyrYH2DsPlTaonAuCIAiCILSJyI0ibhcOHz7EZmajR481fobAeciQYQ3+DlVof9LS0mnPnl30ww8b6ciRw7R//z46dOgAV70PHNhPdXV1NGHCROPv4+LiadSo0e3wioRIIAG2IMRgBbuxwZkiIzWeP5dWONr8XDl+RmkFpbWceQ5VViUIgiAIggCwhkD1OJoScavVHFGJuM+nPZbF0tA3GlJwf+LitAKH4u9//yt98smHHFBDMj537nH06KP/0B9T6982mRo+ptUqYVtXQfaUIMQIuCAfLmg5wFYV7BqHm+qcboq3h3cJcLo8VFBaX7V2ur1UVuWkDP3xBUEQBEEQQgXBbZzdEtUA2xKghS5c+vcfwDLvPXt209Chww3Ts0OHDtKYMeMC/k9RUSG9886b9Lvf/ZkWLTqZf+bxeKikpITXcgMGDOL+7P3799KAAQP59/g5KttZWT0itu1C9JAxXYIQIxRX1FGtw8M3jj5ZWq91YxLirJQQp924StpQxT5aXE1IsCYn2KhXegL/zD/gFgRBEARBiHUgB0f/9DPPPEk5OYfJ7XazO3hBQX6z/2OxWDmAzsk5xN9XVVXRQw/9icrKSsnpdFBycjI/5lNPPU7Hjh3lx3zuuf9Rbu4RUQp2ESTAFoQY4UiBJtmGe7i1kVTJn8wUXSZe6Wjzc8E9PD3Zzl+XVzvDfjxBEARBEISuyK23/oKmT59JV199CZ1yygLatWsnTZgwqdm/z8jIoDvvvIfeeONVOumk+XTZZeezpPy00xbT7t27+G9uvvl2Gjp0GF1yybm0ePEi7tPGqC+RiXcNRCIuCDHCkUJt9NaAXk3Hc/kDGXduUTWVVNS1+bn690ymsiotUK+QAFsQBEEQhG6G3W6nu+66j+6445fkdrvYkKy6uoor1eDvf/9Pk8AY47bwATMz1a8NR3I4iKvK+O9//2eeqw3ZPP7/iisuoqwsGYnaFZAKtiDECP5Bb0tkpion8fAr2LnquXolU2qSVsGuqJEKtiAIgiAI3RPIvhFcg6SkZCNwhuS7semZwv/nMEJLTU3jr6+66mKer43gGo/76acfcRV7/vzj2+W1CG1DKtiCECMc0V29EfS2hJKIt6WCnVdSy5/7ZiVJBVsQBEEQBCGC3HTT7fTvf/+dXn/9ZZ5d1qdPH3rggYdoyJCh8j53ASTAFoQuChwlP1t9mN27T5kxgPKKa4KqYGfoFexwe7DxvKpanZpsp9REvYJd7Qrr8QRBEARBEIR6Zs6cTS+++AZLxL1ej1EZF7oGEmALQhdl1+EyevPbffz1wbwK8vp8lBRvNUzHWq1ghxlgO1wecukzJFMTbYZEXEzOBEEQBEEQIgdGgBHhQ+hKSA+2IHRRfthbZHy950g5fx7eL63VEQ5GD3aYEvGKGq1SbbeaKc5mMQLsSunBFgRBEARBELo5EmALQhdl5+HSJj8bMSC91f+Dizioc3qo1uEO+XkrdbfwlEQ7B/OYhQ2qakUiLgiCIAiCIHRvJMAWhC4I+qDzSrSe617pCcbPJwzNavV/4+1WSoyzhl3FrtQr2CmJWmCtAmwE7G6PJh0XBEEQBEEQhO6IBNiC0AWBsZnT5SWzyUTXLh5DVouJjc4GtOIgHolRXYbBmS4NR7CuROnVUsUWBEEQBEEQujFiciYIXRBVve6ZHk8jB6TTY3cu4GA7WDJT43msV3gVbCUR1yrXZrOJEuOtVF3nZpl4WrIWvAuCIAiCIAhCd0Mq2ILQBSko1QLs7MxE/mwxm1s1N/NHycpz9dnZoaDGcanxXED6sAVBEARBEARBAmxB6JKoPmgl0w6Vof1S+fO+oxWhP3dtvclZ0wA7dNM0QRAEQRCE7sTNN/+MnnnmySZf3333bfT44/+hrkIo2+tyuWjJkq+oOyAScUHogijHbhXYhsqwvmn8+XB+JbncHtqdU06vf7OXTpren46f1DdIF/H6507St6O6TpzEBUEQBEEQWqKmpoYcDkeTr3/72z+RxdJ1BMahbO+LLz5LK1YsoxNPPIlina6zBwVBiFiA3SMtnlITbeTx+mj9rkJ6+PUf6EhhFb3+zZ5WncArAlTPRSIuCIIgCILQNhITEykuLj4mt9ft7j4qR6lgC0I3DLDRrz20bxr9sLeInvxwu/HzWoeHdhwqbXHcl+Ei7icRh8mZ9v/d5+IpCIIgCIJw220/pxEjRtGmTRuptLSE7rvvNzRp0hT64IN36aOP3qeCgnzq168fXXHFj2nevONalVwPHTqcrr/+Jrrzzlto0qTJdOjQQVq/fi3Fx8fT4sVn0xVXXMPrOK/XSy+88Ax99tknGOBK8+cvoMrKCkpOTqabb74jqO2cMmUab+e7775JJSUlNHDgILrqqh/TjBmz+X8OHz5Ejz32L9q1ayc/7tix4+m6635OmZlZTba3pb995ZUX6bXXXiKPx0OnnXYCPffcaxQXF0dPP/0Ebd++lQoLCygpKYlmz55HN954K9lstlZfP3jvvbd4+4uLi6hPn3502WVX0cKFC43X3NJriyZSwRaELkh1GwNsMEzvw1Yk6UHykYKqFudvVzWagw3UXO2aOgmwBUEQBEEID6wzfC5Hx334fCFvMyTeb731Gv3sZzeyZHr06LH0xBOP0v/+9xhdeeWP6cknn6eFC0+h+++/i777bkkI0vFqDkC1x3uWLrnkcnryyf/SqlUr+Pf4+t1336I777yb/va3f3GQ+fHHH1BdXV3Q24kA9emnH6ef/vTn9L//vUBnnHEW3XvvL2jt2lX8P/feeyf17t2XnnzyOfrjHx+ko0dz6aGH/hxwe1v62wsuuJjOP/9iGjp0GL355ofUq1cv+s1v7qW8vKP0298+QM899wr9+Mc/5WAYryGY1//yy8/T448/SldddS098cTzdO65F9Bvf3sfbdmyiX/f2muLJlLBFoRuWMEGYwdn0tvf7eevrRYznTi1P3208iAdLWreWRyjuCArbzbAlgq2IAiCIAhhgOC25oMHyJu/t8PeP0v2CEo4+76QJrOAadNm8IcKOt944xW69dY7acGCE/lnF154Ce3Zs4uef/5/xs+CYfLkqfy/4JxzLqB33nmTfvhhI02dOp2D5TvvvMeoyN5zz6+40hvsduL9fuqpx+iGG26huXPn889OP/1M2r17Fz333NM0Zcp0ysk5TD/60fnUo0dP/v3DD/+bXC5NydhY/t3S39rtdq5Km80WSklJ4Z/96U9/46q01aqtIU899QyudOfn57X6+mfNmkuvvfYyXXHF1XTCCYv49717n0HHHbeA4uPjWn1t0a5iS4AtCF04wFbmYuEwqHcKWcwmDpiPm9SHBvZK5p8fLW4+wFZzsxFc26wW4+cJIhEXBEEQBKGNmCi0wLazAHmy4tChA+yYPXHi5AZ/A9n4559/ElKVfMCAQQ2+T0pK5qB1//59XKkeN2688TtIrkeOHBX0dkK6Xl5eTv/858P0n/88Yvwc264C32uu+X/0r389TG+++RrNmjWH5s2bzzLuxoTytwrIyHfu3EE//LCejhzJ4dd08OB+mj17bquvH9V6yNwhQ/cnMTGJrFYz5eYebfG1RRsJsAWhi+H1+gwpdlsq2GaTiW69cCLtPFRGZ88bTEXlWvB8tLiGL/6Bsrfqb2CS5o9IxAVBEARBaAtYd6B6TO6mFdJIgeDL7W7BzNVqD7l6rYLb+ufQ1mao1vpjNpv5sUN5fFR9G+Mfn5tMDbt9VTU4mO10OrX3+Q9/+AuNGzehwd+pbbz22uvopJNOoeXLl9GaNd/TPffcyQHwX/7y9yavI5S/BX/725854YAKM3rDUYlGgB7M68d7CSyWwK83mNcWTSTAFoQuBkZh+Rr1TYfL+CFZ/AF6ZSRwRdvh9FBppYMyU5tm+Ir1ADur0e9EIi4IgiAIQlvh4MdWHwRGGpMVQW7L01LaSv/+A8hisdCuXTto8OAhxs937txO/fsPjMhzoLKLYHrv3t00YID2mDA9QxU4K6tHUI/Rp09flm5Duu5fNW7MwIGD6bLL8HEl95Cjlxz91f369Q/pb01+gW1RUSG9997bHACrsV2QmZeUFAdV4cdrhCnagQN72Qgt3NcWLcTkTBC6qDw8Ic7KvdORAo+VnZnIXzfXh11fwU5o8PPEeC3DWCNzsAVBEARB6MYkJCTQuedeSP/73+Mc4CHwXb58KTuKq37itgJ5NRy18Ry5uUdY+vzss09xMBtshRYB+sUXX859z+jdRmCLx7r55p/Rn/70O5Zhn3nmSfTFF5/xa0AAvG3bZkpPzzD6rBXB/G18fAJVVVXy7/BcSEIgIYCvKyrK6cEHH6CysjJyOjXTtNa46KLL6KWXnqd9+7SefbiYX3bZ+fTppx+1+tqijVSwBaHLGpxF/vTtm5XIwXVuUTWNDzCqq1jvwc5qJBFPiLMYY74EQRAEQRC6MzfccDP5fF668cbryOGoo549e9HNN99OP/rReRF7jhtvvI0eeuhPdPnlF7D0e8GChTRy5GhDoh4MkHUj4L3//ruptraGZ1qfeOIiNmhDP/MvfnEvO3f/5S+/58AZUu4HH3ykgdRcVZRb+9sFC06gt956lRYtmkf//vcTdNdd97HbOtzAU1PTaNGik9npG2O+ggHu4dXVVXTDDT/h15CSkkznnXcRnXbaYvJ4fC2+tmhj8oXjR9+F8Xi8VFLSvIlTZwD9IRkZSVRaWt1yn4jQZWnLPt64p5D+/fYWGtInhX51teYEGSneWbqfncQXTO5LV582usnvf/PMGsopqKLbLpxIE4f1aBD03/LPZfz1k3edENHKeldGzuXYR/Zx7CP7uHsg+7l90YyqjlFWVh+y2ezt9ryt9mCHAVzDUY1tHHQChFnoB278O///afq1mYNB/68b/l/DnyGIRNUaj3HFFRexG/eVV14T8nZi3FZzBmCq6ty4J7q57fEF+Nv698PR4O/x/kDODVCJx3agQh/s62/8mI33cWuvLdhjMjMziZ87GKSCLQjd0EG8OfroEvH8kpomv8MFqrCslr/umZ4QsIINah1uSklsv5ulIAiCIAhCR5GYqK2dAoHAN1BA6/8/wXwd6GeoXM+bdzxdd93P+XkgQc/NzaHjjz8hrO1sKQBtzjwt0GNaWzBa096Phs+jgmuAoFwF5q29/pYes/Hv28M53B8JsAWhi1Fd23YH8eZQPdh5AQJsBPZ1Tk9AF3GL2UxxNgs5XB4JsAVBEARBEKLM7bffTf/5zz/ozTdf5e9hdobZ0oMGDZb3voORAFsQuhiVtc4oBthaZbqsykl1TjfF2+svEQV69TojJa7BDGxFYryVA+wah5YAEARBEARBEKLD9Okz6bnnXmlRki10DNIoKQhdjGrD5CzyF9KkeBulJGqPm1+iBdQKQx7eqHqtkFnYgiAIgiAI7Qsk2RJcdy4kwBaELkZVFCXi/jLx/NKGMvHCMs1BvGdGw/5rBcaGqR5sQRAEQRAEQeiOSIAtCF12TFd0AuzeGYH7sJszOPOXiIOaOgmwBUEQBEFonW42zEjoJseiBNiC0EUl4tFwEffvwz5W3DDALmolwFYVbOnBFgRBEAShJTAuCmC8kiB0BtSxaLFYu4/JmcfjodLSUsrMzCSzWfICQvelUlWw46MTYA/uk8qf1+8qoB2H+tKYQRn8fX5pKxVsFWBLBVsQBEEQhBYwmy2UkJBMVVWl/L3dHsfjlKKN12sij0eq5rGMN8R9rOZo41jEMRmJOLNLBNivvvoq/eMf/zCGkd9xxx105ZVXdvRmCUK7g4uAqmArM7JIM3ZQBk0alkWb9hXTY+9tpUdunke1Dg+VVmqZvb5ZSS1KxKUHWxAEQRCE1khNzeTPKshuDxA8eb3edns+of0Jdx8juFbHZMwH2F9++SU98MAD9N///peOP/54Wr58OV133XU0ZswYmj59ekdvniC0K5hD7fH6oioRRwb5Zz8aR7f9azn3ex/KqyKnq37+tQqkGyMScUEQBEEQQllvpKVlUUpKBnk80fdvsVjwfIlUXl4jVewYxRLmPoYsPJIK6U4fYD/55JN0ySWXcHAN5s+fT6eccgqtXr1aAmyh2xqc2axmirM1nUUdKTD/etyQTNq4p4i2HiimeP25BvRKbvZ/kvTAW22jIAiCIAhCayCwMZvtUX+jrFYzxcfHU22th9xuqWLHItZOso87dYBdXV1NW7ZsYUk4KCkpofT0dEMuLgjdjWg7iPszeUQPDrCXbTpKA3ql8M+G6P3ZgcjS52MXlWvjvARBEARBEAShu9GpA+wjR45wz2lBQQGdeuqpVFZWxj3YP//5z+mnP/1pm7IbnRmLxdzgsxB7hLuPlcFZWrI96sfxvAl96M0l+6i4wsEfYMKwrGaft7femw23cUh02sOspLMj53LsI/s49pF93D2Q/Rz7yD6OfSydJIbq1AF2ba3mWoz+68cee4yGDh1Ka9eupZ/85CfUu3dvOuuss0J+TLPZRBkZgU2aOhupqYHdmoXYIdR9XOcuMILZ9jiO50/uR599f5C/Tkm005QxvZu9aCWnJBBiaqfbSyarlTJStYq2IOdyd0Cu17GP7OPugezn2Ef2ceyT2sExVKcOsO12rR/jqquu4uAazJgxgxYvXkzvvfdeWAG21+ujioqG8307GwhgcGBUVNSSxyM9IrFIuPv4SF4Ff06Ot1JpaTVFmxmjehgB9oLJfXl7WyIzJZ6KK+roD0+vol9dM4O6O3Iuxz6yj2Mf2cfdA9nPsY/s49jHEsUYCo8bbGW8UwfYffr04c/Z2dkNft6zZ0/aunVr2I/bVYwNcGB0lW0V2mcfF5drAW5Gcly7HBtDeqfSbRdOpF2Hy+j0WQNbfc7RA9NpxdY82nuknApLaykjJS7q29gVkHM59pF9HPvIPu4eyH6OfWQfxz6eDo6hOnWTb0ZGBo0ePZodw/3ZtGkTjRo1qsO2SxA6CjWLuj0D14nDetCFJw43xnC1xLWLx1Cv9ATCYIQNuwvbZfsEQRAEQRAEobPQqSvYAA7iN998Mw0cOJBmz55NH3/8MW3YsIHefPPNjt40QWh3lEN3Ziftb4ax2bTRPenTVYcpv6Rzt2IIgiAIgiAIQreqYIMFCxbQ448/Tt9++y3ddNNNtHPnTnr55Ze5si0I3Qm3x8v9zaBXRuc1wEtP0qrrZdXOjt4UQRAEQRAEQWhXOn0FG8ydO5c/BKE7U1xeRz4fkd1mprQkzQCwM4IRYqC8SpOzC4IgCIIgCEJ3odNXsAVB0Mgv1QzOeqUnduoZ0+nJWgW7vEoq2IIgCIIgCEL3QgJsQegiFJTWdHp5uH8Fu6zaQT6U3AVBEARBEAShmyABtiB0EQpUBbuTB9iqB9vp8lKd09PRmyMIgiAIgiAI7YYE2ILQRSgo6xoBdpzdYoz0KtHHigmCIAiCIAhCd0ACbEHoYhXs7PTOHWCDHmnaGLHicm2bBUEQBEEQBKE7EDEX8YsvvpiOHDkS1v++/vrr1L9//0htiiDEHF6vjwqNCnYidYUAO6egypjbLQiCIAiCIAjdgYgF2CUlJTR79mxKSkoK6f8+/vhj8nikT1MQWjy/KurI4/WR1WKmjFStx7kz0yNNq7Lvy62gE6b4yNyJXc8FQRAEQRAEoVPOwb7lllto0KBBIf3P999/H8lNEISYJF+vXvdMj+8SwaqSiH+/LY9KK+vo7sumdvQmCYIgCIIgCELX6cG++eabKSsrK+T/u+OOO8L6P0Holg7iXaD/GowfmklJ8Vr+bufhMsOgTRAEQRAEQRBimYgF2I899hj97Gc/489btmwJev7t6aefTsnJyZHaDEGI8RnYnb//GvTJSqJ/33Y8jRyQzt9v3V/c0ZskCIIgCIIgCF0nwD7ttNOooqKC/vnPf9IFF1xAc+fOpTvvvJPee+89KioqitTTCEK3pKvMwG7MhKGZ/HnLPgmwBUEQBEEQhNgnYj3Yt956K3+UlpbS2rVrac2aNfwBEzMwevRomj9/Ph133HE0depUstlskXpqQYh5lMQ6u8sF2Fn09nf7adO+Yu7Hnj02m0xdoIdcEARBEARBEDrc5AxkZGTQKaecwh+grKyM1q1bx8H2qlWr6LnnnuPg+pNPPqE+ffpE+ukFIebw+nxU2EUr2AN6JVPvzETKK6mhpz7cTuQjmjO+d0dvliAIgiAIgiB0bol4c5SXl/MILwTaDoeDfxYXF0dmc9SfWhBigvIqJzndXrKYTZSlu3N3FVCtvuOiSZQYp+Xylm851tGbJAiCIAiCIAhdp4KNIBqV6qVLl9J3331HOTk5ZLVaafLkyXTGGWewTHz8+PEiExWEEA3OEFxbumBiqkd6Av3qmul07xOraNfhMnJ7vDzPWxAEQRAEQRBijYgF2O+++y599tlnHFzX1dVR//79jZ7r2bNni1O4IIRJfhcb0RUIbHuc3UIOp4cN2/r2SOroTRIEQRAEQRCEzhtg//e//6Xi4mK6/vrrefTW4MGDI/XQgtCt6aoO4o2l4n0yE+lgXiUdK66RAFsQBEEQBEGISSKm05w4cSI5nU76z3/+Q/fdd58xD9vr9UbqKQShW9LVZmA3R58sbfvzSqo7elMEQRAEQRAEoXMH2A8//DA7hWMO9vDhw+n1119vMg+7sLAwUk8nCN2GWKhgg95ZmiwcFWxBEARBEARBiEUianKWmJhIJ510En+AXbt2sdHZsmXL6P/+7//I5XIZ87BvuOEG6csWhFbw+XxddgZ2YyARBxJgC4IgCIIgCLFKVK18R40aRddddx29+OKLPPf6yiuvpMOHD9P//vc/7tcWBKFlKmtcVOf0kAlu3GldO8DubUjEazhxIAiCIAiCIAixRsTHdAEsnvft20fr16+ndevW8efc3FyKj4+n6dOns2y8V69e0XhqQYhJeXhmajzZrF17tBUq8CYTUa3DTeXVTkpPjuvoTRIEQRAEQRCEzhlgw9Bs9erVHFBv3LiRysrK2Dl47NixPP963rx5NG3aNLLb7ZF6SkGIefINg7OuXb0GNquFslLjqai8jorK6iTAFgRBEARBEGKOiAXYd9xxB8u/+/btyz3YCKgx/zozMzNSTyEI3Y5YMThTZKTEcYBdUllHRGkdvTmCIAiCIAiC0DkD7Ntuu42r1UOGDInUQwpCt0cZnMVSgA1KKx0dvSmCIAiCIAiCEHEi1tS5ePFiI7guLy9v8W+XLFkiI7sEIZQZ2Oldewa2IjMlnj9LgC0IgiAIgiDEIlFxTbrlllsoJyenyc/Rl3333XfT9ddfTzU1MgtXEIKViHf1EV2NK9glUsEWBEEQBEEQYpCoBNiYd3311VfTkSNHjJ99+eWXdOaZZ9LHH39MP/3pT6lPnz7ReGpB6JJU1brI4fQ0+FlljZOq69z8dc/02AqwS7kHWxAEQRAEQRBii6gE2P/61794JNdVV11Fmzdvpttvv51uuukmys7Oprfffpt+8YtfiJu4IPgF0r98fCX9+pnV/LVi/9EK/tw7M5Hi7JaYeL9Sk7QpAlU1ro7eFEEQBEEQBEHoGgF2jx496Pnnn+cg+sILL6Rvv/2W7r33XnrjjTdo9OjR0XhKQeiy7DpcRrUODxWW1dEbS/YaP993VPMyGNYvlWKF5AQbf66UAFsQBEEQBEGIQaISYIOePXvSCy+8QIMHD6aMjAw65ZRTyGKJjSqcIESSvbn1poArt+ZRblE1+Xw+2rS3mH82on96zLzhKYlagF3jcJPb4+3ozREEQRAEQRCEzjmm6+KLL27Qc62oq6ujqqoqdhlPTKx3Qn799depf//+kXp6QeiyHMqrNL72+Yj+++4WGjc4k3IKqshqMdPUkT0pVkiKt5EJr5OI+8vTdMm4IAiCIAiCIMQCEQuw586dS8XFWsUtGPyDbUHozqiRVVefNope/WoPHSuu4Q+wYFJfQ1YdC5jNJkpKsLGpW1WNUwJsQRAEQRAEIaaIWIB96623RuqhBKHbACl4WZUWYI8ZnEm3XDCRvlp3hOXT/Xsm07nHa7PlY4lkFWDXitGZIAiCIAiCEFtErAf7l7/8JeXn57fb/wlCLIBeZKdb60VOT7LTWD3IvuPiyXTRwuFks8aeb0Gy3octRmeCIAiCIAhCrBGxAHvDhg3cb91e/ycIsSQPT4q3kt0We8F0IFKUk7hUsAVBEARBEIQYI2IScYCRXCYTLIyCp6JCm/UrCN2RMj3ATk+Jo+6CchJHD7YgCIIgCIIgxBIRC7DPO+88KikpCet/U1JSIrUZgtAlK9jpyd0nwE5O0JzDpYItCIIgCIIgxBoRC7BvuOGGSD2UIHQblMFZenL3GVelXNHF5EwQBEEQBEGINSLWgy0IQuh0xwp2vURcXMQFQRAEQRCE2KLLBdirVq2io0ePdvRmCEJEA+yMbtSDrSrYIhEXBEEQBEEQYo0uFWAvX76crrnmGg6yBSG2JOLdKMAWkzNBEARBEAQhRukyAXZpaSnde++95PP5OnpTBCFidE+JuJicCYIgCIIgCLFJVALs2traiD/mb37zG5o/fz4lJiZG/LEFoSNAsqi8ytntTM7UHGyny0sOl6ejN0cQBEEQBEEQOneAff3119Orr74ascd75513aPv27XT//fdH7DEFoaOpc3rI49UUGUnxWtDZHYi3W8hiNvHX1bVidCYIgiAIgiDEDhEb0+VPeXk5TZo0KSKPlZOTQ3/+85/p8ccfp+Tk5Ig8ptXauZXxFou5wWch9sC+VcElgs3EBCuZTFrQ2V2cxMuqnFTjdFOvTn4+tgU5l2Mf2cexj+zj7oHs59hH9nHsY+kkMVRUAuwTTjiB/vnPf9KvfvUr6tevX9iBg9frpbvvvpsuu+wymjZtWkS2zWw2UUZGEnUFUlMTOnoThChy8FiFYfqVmRmZ5FFXIT0lngNsMlu6zPnYFuRcjn1kH8c+so+7B7KfYx/Zx7FPagfHUFEJsHNzc2np0qW0aNEiio+Pp6ysrCZ/8+KLL3Lw3RIvvPAC7du3j6666ir66quv+Gcej4fl4n369KE5c+aEvG1er48qKmqoM4OsCw6Miopa8ni8Hb05QpT2cVWN1n+dYLdSaWl1t3qfE+wW/ny0oJIG94rdAFvO5dhH9nHsI/u4eyD7OfaRfRz7WKIYQ+Fxg62MRyXARvB73nnntfg3CQmtZxZsNhtNnz6dPvzwQ+Nnbreb1q9fz1+HE2Brj9E1glYcGF1lW4XQqdIl4onx1m63n9Us7PIqR7d47XIuxz6yj2Mf2cfdA9nPsY/s49jH08ExVFQC7DvuuKPB96g6WyxaxSoULr/8cv7wZ8qUKXTllVe2GsALQmenqqY+wO5u1M/CFpMzQRAEQRAEIXaIWgd4fn4+3XfffTRv3jwaO3YsHTp0iG644Qb65JNPovWUgtAlK9jdyUG88agu9R4IgiAIgiAIQixgjVZwfcEFF5DL5aK5c+dyPzbADGtUt51OJ51zzjlhPfaJJ57IEnRB6OpU1Tq7bwVbD7ArJcAWBEEQBEEQYoiorOyfeOIJGjFiBD366KPca33yySfzzx9++GHuqf773/8edoCN/xWEWKBal0cndWuJuJZkEARBEARBEIRYICoScZiQ3XLLLQGNzC699FJyOBxUUlISjacWhC5DVZ3egx3XHSXidv4sFWxBEARBEAQhlohaD3ZdXV3An8MFHL/z+XzRempB6BJ0Z5OzFDE5EwRBEARBEGKQqATY06ZNYyl3WVlZk99BNt6zZ8+As7EFoTtRbZicdd8ebJicSbJNEARBEARBiBWisrK/7rrreIzWqaeeSvPnz+dA++mnn6Zdu3bRDz/8QI888kg0nlYQuqjJWeQl4u683eTa9g2Rz0uW7OFksicQWWxkik8mS98xZDKHPjYvGgG2x+ujWoenW1bxBUEQBEEQhNgjKqva3r170+uvv04PPfQQff3111RbW0tvvPEGjR49mivYJ510UjSeVhC6pEQ8khVsn9dLzg3vk3PDB/iOf+bev6bB35izBlDCKbeSOaVH257L4ybXnhVEjmqyjTqeg/dgsdssFGezkMPl4USDBNiCIAiCIAhCLBCVAHvNmjU0YcIE+te//kUej4cqKyspPj6ePwRBoAYzoCMVXPpcdVT79WPkObyJv7eOmEfm1J7kLc4hn8dF5HGRp+ggf1/7xb8p8ZxfkckS3nP76qqo9ot/kSdvN3/v2r2CEn/0f1qlPIQqNgJsGJ31yghrMwRBEARBEAQh9gPs+++/nwoKCmjOnDm0cOFCnl2dnp4ejacShC6J0+Uhl9vLXyeFKRH3FB0ix9q3yVdXSdb+48mds5m8RYdYCh5/3DVkGzmvyf94q4qp5u3fkLf4EDnXv0txMy8M+XnRM137+T/Jk7+HyGpnGbq3NJecP3xMcTMvCGlUV3FFHVXqlXxBEARBEARB6OpExeTsmWeeobvvvpsX4n/605/ouOOOo4suuogef/xx2r1bq3gJQnemus7Nn00mojh76P3Q3vI8qvnwL+RBUF14gJwbP+Tg2hSXTIln/jJgcA3MyVkUd/w1/LXzh0/ItWcln6cI1l17v+fHbQ33oQ16cB3HVfD4RTdoj7f1S/I5qoN+DeIkLgiCIAiCIMQaUalgDxgwgC6//HL+cDqdLBn/7rvv6M0332SDM/z+1VdfZTdxQeiO1KgZ2PE2MiPKDhHHxo+IXLVk7jmUbMNmkfvgejIheJ5xfqu91bYh08kzegG5dn5HdUueJFr5MvdRMyYzxZ/4U7INnxPwf31eNznXvstf28efTJbMAWTO6E/mzAHkLckh186lZJ90elCvIcXPSVwQBEEQBEEQYoGozcFWuFwu8nq9FBcXR2lpafyzo0ePksPhiPZTC0Knr2CHY3DmrSkn995V/HX8vCvIPvFUSjz7PkpY+LOgjcvi5l9F9ilnIaLWgms4jKf2Yrl33ZKnyHVwQ8D/c6x5i7ylR4jikoxA2mQykW3sQv7atXdl0K8jOcHOnyt1N3VBEARBEARB6OpEpYL9/fff0/Lly7lyvX37dnK73TRkyBCaO3cu/fznP6dZs2ZRSkpKNJ5aELoE1XoFO5z+a9eOJUReN5mzh5Ol19Cwnh9julDttg6bRd6SI2TpN5ZdwOu+e4bcu5dT3dePE82/kiwDJ5E5IZX/x31wI7k2f8Zfxx9/LZnikozHsw2dQY6VL7GBmqcklyyZ/YLqwfZ3UxcEQRAEQRCErk5UAuxf//rXdPjwYRo0aBAbni1atIiys7Oj8VSC0CWpqQ2vgu1zO8m1/Rv+2j7+lDZvhyWzP38o4o//MdXWlpMnZwvVffc0kS2B7GNPJFNCCjnWadJw2/hTyDZkWoPHQXBuHTCR3Ic2kmvrl2Q+7mqubLeESMQFQRAEQRCEWCMqEvHrrruOTjjhBCoqKqI//vGPdNNNN9HDDz9MK1as4JnYgtDdURXsRL0POVgQ5PpqK8iUlEnWIVMjvl2obCcs+jnZJ51B5rTe3Oft3PQJOVa9TuR2kqX/eIqbdVHA/8UsbODa+S1Vv3EvecqOtjqmC4iLuCAIgiAIghArRKWCfeGFF/IHpOGbNm1iyfiqVavo2Wef5d9PmjSJZ2RnZWVF4+kFISZ7sN1HdxgS7bh5V5DJHJXTl2dZI4i2zzif3Ac3kHvPSnYXtw6fTfZJi5udnW0ZNJlso49nozNfeR45lr9ICYvvbraSrVzEMQdbEARBEARBEGIBa1Qf3GqladOm0ahRo2j06NH09ddf0wcffEDr1q2j6upqCbCFbotRwQ4ywMb4K5iPEfnINnoB2QZHvnodqJqN3mp8BPX3JhP3ZqP6Xf3m/5Hn6A6qefe3ZBt1HNnGLCSTuaFgJjlRMzmrqhGTM0EQBEEQBCE2sEbLORyV65UrV/LHli1beNbu5MmT6bbbbqOFCxfSwIEDo/HUgtAlqDZ6sIOTiNetfJl81SVkSs2muDmXUWcG0nL7lDPJuf49ns3tKDpEzi1fkiWjL//c0mtYgx7smjo3ebxesjQKwAVBEARBEAShqxGVAPvcc8+lPXv2UHJyMs2fP58uueQSWrBgAWVkZETj6QShy1HjUC7irZ+Crv1rWaZNJhMlnPhTMtniqLNjn3I2mVN7kbeikJybPyVfRT658XFkGyWe+yuen52UoL12ny6ZT9Ur2oIgCIIgCILQVYlKgH322WfT+PHjacaMGVy5rqyspKSk+pE+gtDdqQmygu2tKSPHsuf5a/Q/W7KHU1cAcnDbiLn8tW3sieQt3E/OHz4hT95uqv3yUUo6/3dkscZxggHBNUZ1SYAtCIIgCIIgdHWi5iKOsVw33HADTZ06ledfT5gwgc455xz6/PPPo/GUgtClqNKNvZJ0mbQ7dzubmPm8XuNv8HXd0mfJ56gic9YAsk87h7oimKNtHTiZ4k+5mUxJGWyA5tr2dSMncenDFgRBEARBELo+UalgHzlyhC699FKKi4ujiy++mIPt0tJSWr16Nd1yyy3sIH7qqadG46kFoUsF2HDSdm77ihwrXuLvTQmpZBkwiUw2O3mKDpE3fy+R2UrxJ17XrHt3V8Ecn0Jx08/j+drOrV+RbeJplJJop/zSWuP9EARBEARBEISuTFRW7E899RQ7h+NzfHx8g98huH7kkUckwBa6LWibUAFlstVDjrVv1/+utoLcu5fV/7HFxsE1epZjAeuwWUS6YZsnf299BVsCbEEQBEEQBCEGiEqA/cMPP9B9993XJLgGN954Iz3zzDNc0RbTM6E7UuvwkMcLay+iuEMryemsZeftxAv+QJ7c7eQp2M/WX6a4JLIOmUHm5EyKFUxWO1kHTyP3nhXk3ruKkhO1EWDowRYEQRAEQRCErk5UAmxIwy0WS7OzcvGBUV6C0B2pqtX6jePsZnJv+4q/hlzaZLGRdeAk/ohlbMNnaQH2/rWU2n82/0wk4oIgCIIgCEIsEBWTs3HjxtHTTz9NHo+nye9efPFFSk1NpV69ekXjqQWh01OlO4gPTaohb2URy8CV43Z3wNJvLFFcEvnqKqmP7xj/rFIq2IIgCIIgCEIMYI2Wi/gZZ5xBixcvptNPP52D6fLyclqzZg2tWLGCHnjggWg8rSB0qQr2aHsekYvI0nskS6e7CyazlV3FUcXuXb2biIZRpf6eCIIgCIIgCEJXJioBdp8+fbhS/ac//Ykee+wxNnUC/fv3p7/85S907rnnRuNpBaFLoOTQQ01H+LOl3zjqblgHT+UAO6NsB94J6cEWBEEQBEEQYoKozf0ZP348vfLKK1RVVUUlJSWUlJREWVlZ0Xo6QegywNDLTF7q49ICbGv/sdTdsPYfr0nj60qor6WMqmoTOnqTBEEQBEEQBKFzBdgbN26kJ598kg4dOkQDBgygq666iubNm0fJycmRfBpB6NJU1blogKWYbD4nO4WbswZSd8Nki+Mg231oI02wHaZva3t09CYJgiAIgiAIQucxOdu6dStdeeWVtGrVKrLZbDyq69prr6V33nknUk8hCDFTwR5uy+evrX1Hk8kUFa/BLiETBxPth8nh9JDL3dQUURAEQRAEQRC6EhFb2aPnevbs2bRs2TJ6//332czs8ssvpyeeeCJSTyEIMdODPcyqAuxR1F2xDJqMuX3U31pKmeYqw11dEARBEARBEKi7B9h79uyhG2+80ZCDW61WuuuuuygnJ4cqKysj9TSC0OWprnHQUGuBUcHurpjjU9hBHYy1HaHKGnESFwRBEARBELo2EQuwq6urKSMjo8HPEhISqGfPnjyiSxAE/byozaMEs4t81niydMP+6yYzseEjbi2gSt1dXRAEQRAEQRCouwfYXq+XTCZTk5/b7XbyeKS3UhAUPZ2aezhljyCTuXv2Xyss2SOMABu96YIgCIIgCILQleneq3tBaGcwE76/7yh/HTdgTLd//y29hpGXTJRhqSFneWG3fz8EQRAEQRCErk1Ex3ShD7uioqLBz5xOZ8Cfjxo1iqvbgtCdqHW4aYhF679OHTKeuru2A+O6yu3ZlOHMI2vxfiIa39GbJAiCIAiCIAidI8CGyVmwP//iiy9o0KBBkXx6Qej01BQdoxRzHbl9ZkoeMILKq0QWXZE0iAPsxMqDHb17BEEQBEEQBKFzBNi33nprSG7hWVlZkXpqQegyOPL2URwR5fl60EgbFBwSYDvSBhGVrqb0Wr03XRAEQRAEQRC6e4B95plnRuqhBCF2KTzAnwqs2R29JZ0GX49hRAeJ0t2F5HM5WDbeGfA5a8lTdJDI4yKfx0Xugz+Qe+/3ZE7tSfEn/owsPQdTV8ZTmkvewoPkqy0nS/8JZLLayJSUQSZr53j/BUEQBEEQqLtLxAVBaBlL2SH+XGbvK2+VTnxGDyr1JLLRmadwP1n7drz5m6ckl2o//iv5aht6RwBv2TGq/epRSrroT2Sy2Kgr4tzyBTm+f6X+B6vf4E+mhFSyTzqdbKOOJ1NcUgNzPl9VMZls8WSKT+6ITRYEQRAEQegSSIAtCO2Ez+umhKpc/roqub+87zopCXY66O5JGZZD5Mnf26EBtqfkCJHbSY7Vr2vBtS2BzKm9iKw2MiekkXXEXHIsf4F8lYXk2rOS7KMXdLn96D6ylRyrXuevzVmDyGSPJ8+xXfw9XjN+51j9Fpni9QDbnsBVbW/xYSKzlazDZpI5oy/Zhs8hc7K0+giCIAiCIHS5ALusrIy+++47Ki0tpSFDhtBxxx1H5m4+P1joenhLj5LZ56Yar40ouVdHb06nITnBRgfcPWlKnBZgdwQ+r5fqvv4vuQ+sq/+hxUZJF/6xSRDpq8gnx+o3yLXtG63SazJRV8HndlLdt/8j8nk4WRB/wk95+32Oag6e3ftWk3PrF+QtOVJfva+tIJ96AK+b3HtW8pfOde+Sfdq5FDdF2oOE7om3spC8FYVkyR4mrRWCIAhC1wmw169fT9dffz1NmTKFXcdfffVVSk9Pp+eee44SEhI6evMEIWi8Fdp4rgJvGiUnyog6RXIiAmwt4eA5tpsr/SZz+16a3PtWNQyuMad87uUBK7QIqh3r3iFv8SHyFuwjS/Zw6iqg6u6rKSNTchbFH3eNkRxQcnDb6OP5w1tZRD5XHf8Mf48PS9+x5C3N5SSI59hOrno7175F1j6jyNJ7RIe+LkFob1w7l1LdsmfRP0FktfN1IG7mRV3em0EQBEHoBgH2b3/7Wzr33HPpvvvuM9zKFy9ezAH2DTfc0NGbJwhB46ss5s8lniRKSuiavbvRIM5moXxTD6ryxlGyq5Y8eZCJj26350dA71j3Ln9tn34e2SecwhXdxsH19oMl9Na3+6hPViJdPnQmefas5IC1SwXYu5bxZ/u4k8hkbT7JY07pUf9NZn07gzk5k6wDJvDXtUue5Gq2a/dyCbCFboU7dzvVLXteC67hw+B2kid3O9V89BdKOP0OsvYe2dGbKAiCIHQgnVpn7Xa7adGiRXTxxRcbP0tOTqZp06bRli1bOnTbhPZ3dPZ5PV36bfdWFfHnUm8yJcV3+txWu5KcGEc7XP34a0/O5nZ9bteu5dxTzQZfE05lI6/GwXVVrYue/HA7HcyrpO+35dMeGso/d+duo64CzNlQcSeTmawj5vDPjhRW0bJNR6mmLvRxcbbhs/mzO2czm6AJQncAkwVqP/271mYxdCYlX/sEJZ7/B7IgqHbVUe1HfyXXgfUdvZmCIAhCB9KpV/lWq5Vuu+22Bj/DQm737t00derUDtsuof3w+bzkWPkKubZ9zSOEEk67nSxZA7rkLvBVagF2iTeJhkiA3YDkBDttK+1HM+L2k/vwJoqbdVH77BNnLTnXv8df26ec1WBE2Lcbc2nFlmPcf1xUVksVNfVB6BdHkuh6k5l85fnkrSrhym5nx7V7BX+2DJhAblsKPfTiOtqXq/VZP/vpTpo2qifNn9CHJg33q163gKXPaO7b9lWXagkKmMEJQozj+P5V9iLAeRR/wv8jk8nM96SE0++kum+f4lYTfIZCRKk9BEEQhO5Fpw6wA/Huu+/SwYMH6W9/+1vYj2G1durCPVks5gafuzN1m74g17av+GtfdQk517xOKWfdTV0RX3WxUcFWPdiyjzVSkmy0q6Av+cjMfb6myjyyZER/lFntuk+4vxhO4QkTFpJJP+cKSmvo5S93k8dbX5mNt1vo6tNH0xPvb6N9+Q4yD+qjbWvFUbKm9+j053JNnuYUHjd8Jn26NscIrhXrdxXSD3uK6MEb5lLPjCD8LazxHFh4MNu99DBZM3tTd6Qz7WMhOhj7tqpId9w3UfKJPyFzfHz9H1kTyHrqjVT14YPkzt1BtZ8+TLZhMynp5BvIZLbIrukCyLkc+8g+jn0sneSe3KUC7HXr1tHvfvc7uv/++2n06PB6NM1mE2Vk1M937cykpsaWiZu7spRqD20hW0Yfius9mJwFh8mSlE7W1CzyeVxUuvQNqtm7gezZgyjr5GvJU1lMZave5P9NnngCVW3+lrwF+yk9PYGrBl2N8qoSo4LdMzMpJvdxuGSlJdJWXxxVZo6i1JIdRHu+o4xT/19Un9NTU0FlW7/kr3uefA0l9Ug3fvf5uiMcXI8dkknnnziC4AU2cmAGpSTa6aXPd1F1nZu8qX2ISnPJXldI6a1cUzp6P0MJUlaSw19nDhtL65drbu0/O3cCu7j/9+1NVOvw8Gt+8cvddP+PZ1K8vfXbg7v/cKosPEC2ytwuc12NFh29j4V24OBq/pQwZCJlDQispEq//FdUsuQlqlj3Gbn2rSHTgOGUMe982T1dCDmXYx/Zx7FPagffk7tMgK3cxO+44w669NJLw34cr9dHFRU11JlB1gUHRkVFLXk8XooFnPvXUfVXTxC5HQ1/YbZQ8um3kWPnMl6M8N8WHKTavEM8UgiBt23QJLLOuYpo2wryOmqo+OABsqR3rWoZpMjeuir+usSTTD6P1k8eS/u4LcRZNTfrvYlTaGrJDl6cupN7U9zYE6P2nLWr3iGfs44sPQaRo9c4cpZWG7/bureQP08d0YNG9E3hr70uN5WXu2lgdgrtOFRKBZ5Ugii6Kvcg+fz+N5RzGS0vqHYR+Xj+tylK4wc9Zcf4tcKQKac6ng7lVRLe8YlDtKTBE3edSIfzK+k3T6+hH3YX0q8eW0GnzhpIFrOZeqTHU2mFg576cBulJcfR3ZdN4f/hx03V+uarcvaQqZn3INaJxeu10HQfp6TEU/nm7/h709DZVNrC8W6ZcQklpvSjmm+eotKV75K7xygyp/Zkt/6uNNavuyHncuwj+zj2sUTxnozHDbYy3iUC7O+//55uvvlmrlzDUbytuN1dYxGEA6OrbGtrvZ/oSQMYD8TjfzB3F3g9VPXxw9rXZgvZJ51Bzs2fkafwoPb3CWlkP+5a8vjMZM4awBVsBOC2LjZH2lOmjeiq9trJQTaKt1liah+3lUS9J/2AaQDNGn8yubZ+STXLXiRT/0lkTqyvLEcSx14toWObtJg8HkjBfUbQq+TTg3unNtk/vTMTOcDO86RxgO0pPdbqPmxuPzu3fU2OFS/y15bsEZRw2m3GyKxI4srXzidzZn9auUPzAhjaN5US7FZju/pmJdFtF02i/7y9hXYeLuOPxpRVOenfb22ms+cNodGDMogyB2mvr/AQuVyebh08yLkc27iKc8lblse+A+YBk1s9583D5pB546fkLT1ClW/9RvtZel+ePw/pONpShM6JnMuxj+zj2MfTwevrTh9gL1u2jG655RZ66KGH6KSTTurozRHCmP3Ms0IRyIw5geLmXUnQ22KhYopLpNov/m04G8cv+jnZhkzjQLruu2fIlJhOCSf9nMyJafz/5pReHGD7dKl1VxzRVerVgqeEuE5/6rUrqiJaWeOiuNMuI0/Bfj4uXDu+pbhp50T8+byVheSryNcctXUjIpfbQ+8tO0Ab9xSxa7jdaqYBvZKb/G92ZiJ/PlKbQBP5sbSANVR8Hjc51r5tfO/J30O1Xz1KCaf/IuKVbG/xYf5syRpEa3bm89ezxzVVgYwbnEn3XD6V3lm6n6pqnVTn9NCx4oaKHy343kjnLxhKZ8zoR2SykK+ukj0SkEAThK4CVFLuwz9wotfSe1SLZoVoXwKWvqPJZG9deog2poRTbqLab54gL9ozPG7ylh3l2fHO9e9S/MKfkW3ozLDvq64937MHBK5ftlHHtfj3zh3fkmvnd2ROyiTrsJnsft6dk2GC0N2uc86NH5K3uoTipp/XZEqKEB069Sq/pKSEXcT79evHzuH4UPTt25fOOSfyC28hsuCkxsLC0m8sxc2/yuidVgZWiWf+ktwH15M5pacxTxiLDuugKVwp8F8EwEUceKtLu+yIrhJvMiXEWdgLQKgnRZ8LjsAW+9w+egHVFezTHMWjEGB7ju7kz+ZeQ43F8otf7Kblm48ZfzNmUAbZAhgiooIN9ldo28wu2h43mSyhXU4RUJOzhseDYXZuzQd/5lm67t3LyTb6+Da9vibPVXRI+yJzAB1aXclfThgW+CY7qHcK3X7RJON7SMdzi6pp+qhetDe3nD5fc5g27yvmILx3ZhKNzujLAQSCeLlxC5HGU3KEnbuhfMJ5YRsxl0yYPR2BRWft5/8kjxq1Z7ZwoIpxW5b+48mckNrg76u2LefP1kGTg34Oc1pvSjpXq177nDXk3r+OnLuWkjd/L9V99yyrVsz6fS1YPCW5VPP+H3gkGHDvX0umlB7cYhIItF45lj3HX3sLD/D91pa7neLmXx21lpSOwud2aAq4gv28/+wzL2yyH2MBn9fLpqmmpKyY24dC5Klb+gy5964yptkknHmPJNi6e4BdXl5OV1xxBX/tcDTs3XW5Qp/bKrR/37Frn2YKY592bkBjMowysQ2f0/TnARZQqrrgq9KqwV0Jr17BRoCdKNXrJsBoC6hRWJaBE40Foa+uikzxTSvJbQELMH4ePalTUFbbILgGM8dkB/zfPllagH2g1EeUaSfyOLXqbYiST0/OFm0b+k8gS4/BnEhwrH6dnDuWRDTAxmKMnb4xbsySTW5PAR+DPdP8HJBbAD3n+FBJB3w89+kOWrrpGL3y1W7642gtwIZUnhNjghAhPMWHqeajvxotRQ6oWjZ/RgmL7w45MPXH5/VQ3dePacG1NY7MSBIVHmDFDD5M8SkUf8rNmozb7SLHsW3kzNvHQbh12CzjcZAQPFJQRSMHppO5lYqwyZ7I57V15HwOkPF8SBxApRX0dtdVUe0X/+Lg2pw1iGdxe5GAWP0GWc75dZNFs7emjBwrX+KvrcPn8D3UuekTrma7D6wn++QzyDbxdH4M54b3yVdbwdVxU0IK2af+iGxDplNXAUaOUMR5jmzl7z16cibx7PtDTn52ZpBowjmB4wej4hJOuTWmXp8QWdxHthrBNcAUBATZptSe8lZHmU59Vg4ZMoRuv/32jt4MIUxce78ncju570wFMm3BlJTZZSvYPr2CXepJooSktldfYo30FG3+dFmlg3ug0XdtSunJ85U9JTnNVmfaHGD3GsafN+3R9s/ogel0wznjqai8jgb31oLKxvRIi2cVArtuJ2aSpTKPZeKh9lR68jUnb2tfbSKCdcg0DrARrPq8bjKZI3N59hYd1AIUewLtd6DdooCr1G2RiF66aCSt3JpPpZUOqrL3IITq3rKGCQpBaNNxW1FAtR8/xMeuOWsgWQdO4sAQx1ndt/+jhDN+EfYx7Nq1jNyHNrLpH3wPcH1xH93Jj+8p2Ec+PPcHf2ryf3HjF5E5XrsuFJbV0h9fWMdtLbPHZdPFJw5nE8DWQMUx/rhrqObd35F7/xpy5xwX1Lxsn8tBtV/+m1tb0IqRcMad/PPqV36hVab3rCDbyPn1f+/zUd2SpzhoRgIhfsG1nLg2Zw6gumXPkc9RxYG5pziH3Id+IHLV1v9vTRnVffkf8h13DdnHnEBdAbwGDq4tdrKPP4n9LfC+1H7yECWceisnOLo6vE+XPc+vSyVpHStf5ta7zlDJ9lYVs6KL4hLJnNq7U2xTdwbHi2PtO/y1bfzJrNxjtVlpLpsuCtFFjn4hKqBqpuZX20YviIgcRVUsUC3sjNnzupUvU9VLt5GnNLeFCnaSYegl1JOpB9gOl4dqHG7+2pLZX3vvSo5Edl85a8hbcrhBgL39oHZMTRzWg/vBh/RJbfaYxc8H9NIW2dWWVKOnO6Rt8HrIg8BXl6nz46b0ILIl6L2akQtWETgABBG5RZqstH/PtikC4uwWGjlA80Y4Uqc9FvpLhXqQGKr5+EFybv60Q69LqAK79q8hb23DueedPpBY+iz39pt7DOJWorgZ51Pi2fcRWaxcefbk1beMhQqq4CBu5gVG8g6JroSFP2NJt2XgZK5sY941We1c0U2beSYlzLnEeIzPVh/m4Bqs2pZP9zy5ig7mBfceY3KBbdwi/hqBYIvvhdtJjvXvUfXrv9RmcNsSKOG021n6zDLoaWfz3znWvcvXFQUCbq7QI4lw8s2GKsw2fDYlX/lPlk/z3yER7qrl6xD6whPOvs/YNsfy5zkId+1fy8FTZwbJEYDgOm7WRZRw8k1Etnh+z2o++Rsr6ro6rl1Ltf1lMpNt4mnaz3Ysobqv/8vnTEdW1WuXPEnVr9xJNe//kWreuI+qnv0Z1X71X25pEDoGT85m8hbu15JOk88kc4Y29cNTGtk1lRAYWekLEQW9qHCAdh/bSd7So0SQxY2qz6q3BZOSiNeU8ULCZNacuNsbPLfj+1fI56jhBRr6TtEHh9cN8LVlWr+G/+PXg91DJOJNsNssLBOH5LK4vI6S4m3azeDQRvJG+AbtObYbK3gypWYbbQeHC6oMZ+1ggPnZ7pwyKvWmEP4DkqtQ8KIn2u3kxbI5vQ//DC0Ulh4DeUHoLc4hS2bgObuh4i3T3j9zj8F0dI8mte3Xs+1O5QN7pdD2g6WU60wh6FN85Zp5WjQrmpguAJOpzt5Xietg7ZePkq88j/vqLb2Gk6X3iHZ7fvTcOzd8wNdhJa9Gr3/ij/6vS7hXI3j2HN3BwXTCSTcZzvroabYOm0Pu3cs4gLT2GRXyYyNQ9JbnaUHKqKatGHiuxNNua/Azq9XMc955NJfby4aIK7fl8e/OnjeYVu8ooPySGnr+013062umB5VQRuIZ9wxUXRH8NWecVrfkSXIfWKdtW0pPij/h/xnJR2Affwq5Nn/OrVPugxvINnQGeWvKqe77V7XfTzvHuMYYr9EaR3GTF3O1EYlw/D7xtDuMVhz0hiPRh6AVknIF/g4LdUv2ML7/mXsO6RS9nFD88PGCfTVCazmDKiDxrHs5yQVz1JpPH6bExXfxa++KsNxf7dMZ5/P+wz2i7rv/8fGBvv72vMYY21Wep5nV6oUFnhRTV8n3N1ZoHFzPx2ygVkAhivulLI/qlr/AX9vGLWSzYHNmP6J9KFpI0qM9kABbaBNYGPACIG832cctIk/RYfLAlVUnbvq5ERs7hAUiHIvRd+arKTcC7o7ICrr0qgMWKMj6Ozd+VP97Xb7lb7wCmZ5yER8oFeyAZKbGcYBdUungnl/IGoG3PLLSY7daiOmVKzwnpM4gkGt4IHqma4vhYk8SDQrDSdyt919b+41t4E1gSulFhAA7gtUiHi2kL46PFVcbI7naSpbew32kRluwQnLaUqDQFiDnRcBKkM7Hp1DCWfeQRc/Gd0YQmCC49r8mtNfiF8dW7Rf/5ACJscVzHzGuQZCXIsjo7KAPGthGzGsiZbQNn6UF2Dlar23YBoc9B4d9rGJMn8PpoYyUODp7/hBaOK0//eLRlXQov5IO5lWyAqY1kEA02mDy95B1gOY70Th4UcF13HHXkG3kvCb+JOxjMuYENhR1bfmCVTm1n/1dl9YPIrte6QxE/LwryD71bDLZ4vlxjMc0mSjuuKvZ8M19ZAtfQ9BqosnztZGbAP3o8QuvDxhks/dD7jZyI8GU3oes2PZmkuKoviJhgmPUNubEkPcLEpKcsLQnGlU6pRRIXHy3FmTn7+WKKsvFA/jBNJnwsOYddpiH4V3cjAs6vM8Z5m3ce99zKNknnc4/w/EAI1AOZA9vavcA25O3h2pwrOG6n5BG8SffSNbeI1k54y06TI7175Ln8Caq++5psvQcwgkyIbqglQRtA67dy7RCQkoPipuqqVzMqdld1seoKyIBthAU3rpKcq55m7w1pdwLB5ktblLc96RL9VAxUaBaZh06nWzjIjdaDc9nSkrniwPLxDsowFbGbcBzbCdVv9zQJ4CNuXBh0xcd3nJtBrbLHE/VvjgxOWuGrNR4OpxfRSUVdfWSab3iFElUpcPSTwuwc/Ir/XqrrUFvKzjm1Pr6Qq1gY9Hqb+amMCfrbRARGkWH41DJzV2JPamkQus979Oj7f2IPdP196DSR4QkmqOa3fIjUXl37VxKzq1faokpr4eDdwWqIzVv/R8v1uLmXBZU/2p749qtOU6z5N9Vy7OQ2+s6jYQnT24YMJHipv2Ir8UI4qpfv4c8R7ezVLwzKwB4dBb6ozmAaKp+Yj8Pk4nvAfDjCNmFG1V9LH76aN4H4fD1eq0CNGVEDzY3S0200/TRPVkq/uGKg3TLBU2D5cbg/sABLAfYewMG2BivBbAvW+qFto1dyJVmBOrVr9yhPX5iOsUv+lmrSq/mjgXcbxHA4UMdW0gsczLZqyVv3PtWk2f4nCbO6uhjZwWH3s7FQvrvX+Frg33aj8jSayjVrXiZW3VgpgbzNsPpvKqY4jHOM8RATx0bjYNnDrJPvY1qPn6Igz3P4c0tOsF7aiqo6pO/GwkctCjBDwNqtY4MmnBNBAiW/F8j1mMcYB/dTu1Rm+eWhTVvkrfwoDadwuMkc/ZwluTDO8VQY/UczMmM2k8e5kSLY/373IIhRGAfeFwBjYBx7mAygjGWc8BEisf0Ht1/QF0rMa5LiD7Sgy0EN87kw7+Sa+e3fINyLH+BnGve0gxSEFxjljDcRnEjN1sp/sTrKOm831Lc5DMjLh9TY4A68gLBfXA8rqXeMRmL2MTzfqvNBK6taNAnriqwlVYkBEzSg91KRRTmQf772ldVytWQSICFnHHz0RfY+49p6oLmTM0Cb6u2lMnRq7dqDFtQ2+B2GiY1jc3b6o38IhRgIzB1Yo61ifJc2utLS7KzBL+tZKVpVaai8loy68mQUBMNgXAdXM9jRdjsrbbcCK7hgpx0xT+0/aYnDmphxKRLoDsL3qoSff+aKG7GefwzuBm3Bxjxxn3LGf0p4ZRbuJqJAAvJCBiF4X1T7vWdFc+RbVypw1hGc7bmkeAPqq1mXSKtjAJDwa1fv9X5HypHCqtoy/5isphNdPKM+mTSWXMHc7D9w94ibh8JBmX+Geh1YBHt3qUlauxjTmzxcbBwxmxr4/uMvtwOYEnXVECRAOZumHSQfNW/Kfma/xo9wJh64A/6/RHM8j0wLknbLiTgXHWcAKj95G9U9dLtXLFG5Rlmaiq45v/ftSzkfmkeeYj3s5kKLn4OmWyg7W0cyB57+XdacG2x8zWH/2fL5x1qruras1Ib6Zjaq0lSFskKgPfSvwc/WjjWvaO1NuA99zjJ0ncMq2JUcO0PAm14JwD3gbWd7lrd1cA1Afe8qmeuY/k3lAL+yjwYJ2J9w6M/z7yHEk+/w7g3N2izxGhRv/8VooNUsIVWcW1folVgcLPsN47ljpCbIoOGSjbkSsi+o0eIvF6jrzUaqFnYkarwhQpeI7tkkoml4XgvELRZB0/hLDcWft7iQ9ocTpUM0CW65WZt22VMV2CyM7Qsa36JtrgyJWb4tQSUcm9XpOThkBGiJwnsP6oF2MP6ad8HQ6ZewT5cFUeUgRtWWbNZ5cZw1h8eAgmpLBH1x6wH2JEy8lNSMFNiGh0tdfLXfXtEpmUDFX8AN3VvIvbNoZCl8oF6KVWfIfpj2WzJbCWTzU5m/b1KOPOXXJHFqBq8PihK7GO1xXNnQFVfERxa9B5hX0VoJnjh4tq3lj/bxp7YRNKKhTAWXzDXU1XJaOKtKOQFXaheGa4D2mtA0rY5Ka+lxxAOKJCEoaEzgt8mqJ8qCrgCHq6cdt1OTZE0YWiWcc0CfbKSaP7EPrR001GeFT9yQNOAo8nr6K0C7H1NfEUgDUdyCfe8xkFVc3JvB/qLfR6Km31JxFqzGqPk23b0kGPmdM4WY5Sic+d35Fj6rPba+o7R5Ni2eJZcwwQRwTObn7od3LqABBAnrL1uTnjALBLnNCrg1v7jg1bp1Fewm9+nMHfj7T22m4OLQMdW3br3yVlwkOXOcGmH43ottidvN8tu40+6sd17zvH6lGGsfeyiJtttSsvWDPncDl5rWNBnGyWwf1xbdfPasQvJ0n8cV9BbmniBPn0k/LCGxLUxkCpFCA7nD58YLSOu7d9wIgpJOm95vu4B5CNz1gAe3eYfWCuwDsC1j1VhtZXa90LUkABbYCAbREUIcircEP3BTRHEzbywRZlaoAxmJNi4u5Be+nI3ZWck0E2DlcSlY7LJPPKIA7Q+/D41rkCizwgBNlew9IWfkugWk/b+JEgPdkCyM7WFW35pjTHOBgt0BFNYGKuERUTk4fp+8/p8tDe3PCSDM5CSYCO71UzV7jjyWexkwizsqmIyBdFjpirogQyCVIYZVdBIgOo/P25SBh2NYP81iLNZKCneStV1bnLY01me2NYA271vjTajMyGV4uZd0aAvVIH3DJUc7jtd+7a2TztTgK0vgKyDptYnTOoqWbkQ6PVEMqBlx1iTSVMUNQLGWC7VrxplUPFDogTHeOKZ95DJFhdyj3RLM9XZrIdCN+tR6iMojsLtv96mTxyYMrLpAnbh1H4cYG/ZX0K1DnerLSfcL6zaCEqO8P0XINh2bvzYSDQFk6RAQB1//DXUXiDJjgAUSQ70/2pjBt/g3yExFjfrYuN4R7LHkjWQLHMvJ/uEUznYZjm3PVFTfJTksFy+bsWL5N6zkgPaYANs3F9hfApDPEuvIc1vL1pXEIhyy8ZRHh/qyd2qtaHAgdsWR3WbNMf/xBN+rCk+cJ2bfQnVvP8An9e43rS3VBxrCTYQs8YFNIxFwI2gCj3mWJ9EM8DmkU9IhvQdo40GCyLZgL+xDpxIztIjnAiJRICN86P2w79wIiZu1oVkn6j1pMcyOM7hswCQuMW1DI7y7CqvYxt1HMXNvaLZ6y0SIUgesVEw1tASYEcVCbBjHFTs0CeFm7SSEjUGC7+at3/NJx07zZ59n2FGgUBW6x80kS3Aoi3aYGzTC1/sovIqJxtR7c+wsKlUR43qUlJPdfNtDG50/HdwUNdhx1pMH/ZqAVxinMzBDkQvvRoEibjX6yOz2cRZWA+qGnCo7j2y7ftPSQn1yuLh/EoetYOxU8EYE/kvGjDOq7iijjwJmWSt0mdhBxFgq2NXVWT9MdQfjmo2x2ur462SmiPQKyzVlAG9syI3DzY9OY4D7GqrFmAjGdIWVJ8hFuitBaNYsFMnmb/triyh6m9fIXfhISPItQ2drkljLXaWUvL1NYoO3hilBFAJVOqMQNcmBHL+HhGR3gZU21Qgi+AAhm/2CaeEoBDCMWviZGVzoCIWzrgZ1X+tzv9Qwft2pFBLVA0NcL2ASWKfrEQ6VlzDY7zOPT7wPVfBvarZw9hJHNcmFWDD5E2pxuzjT6bOCnqZnQiwD67XWjkc1TydIW7O5c3OQMY13b+6hmueuu6hAs0Bdv6+oLcBbWv8v31Gt3i9RJKC3+vc7ZzEgWkYWioakzhiOtmHTCW3W5PQYt0Uf9zV3Lbi/OEjTmQok7H2ACZxAAmH5lQJXMXM38uJiWipU6DWU8EcJ09CuH6oVg8ExBHZFrxW/V6OpI514BQyp8eugZqaf87JjQETKOG0Ozjhg4k1BKk32jSHzuAJAq2BNjTci7zVxdwnH9Xt9rj5mORzvgtMr4g00oMdw3jKjlLtp3/nm3XNh382pMqNgUEGZ4BxQtRWGIPp+TGUpBaOq/oIj/Zk455CDq4VOwp9Ea3whQqPHuPsfeDeNjUORQXVbDKlf31M74FNjOuY8WKdnR6p8WS1mMnt8dX3YTd6P9sC9z6XaPtPJZtQaQJjB2Xwc4dCSqKWKHHE6aqKIKu36tgN2EqBapauIFHV57agtTNoFezyau08Sk+OXBU1XZ9fXk7asd2WCjaP4eIAyBRUlcP/2IhUj344YMZ97rP3kBOtNAiuIeXEzNHUXlq1XTeui/Y1S01vCFS9rr9mmTS39yjMxPaU5lLdN48bwbXCtXtF0I+hvAlYIdRChVlVsH3lBXxeBwM7VevGVY2VR8GCEYJwD0f/dXZm00QV9ve5x2nXlo++P8jqq9ZQsmbVhw25tXPdu/VTODrgvhsscBEHGA9mjJCadHqzwXVrqAU/VD7BznVGzzdvy8BJrT9+P60q7lj5khFcI1lj7jVMU370GUk9z7ypyf/ZRh9P9pkXaf+7+g1jCkR7UK+6at4zQI2rU/4CkQbXVzXyCX3poQZmaAVQipNIzCOHuW79xvkM09BIgRYC195V5NjwAd+XcG2vfu8P7EKPhEd7329wrPK90WKn+HlX8XUGwXTCST9nczl8Dia49jc6i8T6oiV8dVU8E7324wfZYBOO/N0NCbBjGPQbkYf9O/kzRiUEMjZQFyslyUOfjDLL4H5Rvwtke7Nmu9bvNqK/VpE5VqcHHx0lEderZf6jQPxRFUz0XKKflBeyfEMx0VGHtiBLjIDBVCyCinV/fT5zjj6X2giimkkOhQLL7HweHvOkzMR2HtKOo7GDQ/cNSNYD7BprWkgGX6qCrbbBH9w4zRE0OlMO7Hiu8mptFFlqUgQDbD1YL3InGT164aJaUdDXF0w7gCm5BxF63j3uNlfOw4EDtsObqfKDv5CnspiP1fhFN1DihQ8Yxj7R6KsPuC11VUZFpzmHZCgCjBaEisjPLOf9p983kGBIuvQhNr5kTwq9LaI11IhDSMtbAjJHUxwCT5jd1auFWgIVYd4HFluLwUpLqOo1VCDNJeSmjepJx0/qy6rjJz/aTjV1+ri01ozO9D5ix7p3OQmCewxGVnVm0HYAB2kFqte2EXPDfjy+r5rMWkuFnvRvLanDSRmTxQj2W8I6qGEQbp90BiVd+EdKOudXlPLTZynl3P8jS2Jgs0skDhBo45hjgyndST3qFUClumohKQR5PbwqMBpQrdki1v+9ewXVvPtb7X22JVDc7ItDfhy0D2pTQXxNxpiGg0pkqvVW46ReW3Gsep2Thc5171D1a3eTY/nz5C3Yx8UoBIxVL9zIXhbtAYzh6la9xl/HTT+nydjCUKk3Ootuwrdu+QtGSyWq7LVfPUaebjZ/WwLsGAUZNtc+LbMbf8JPuSqGC7Wa3+yPuiDzSC1Uzzwuo1LrVQG2Ll2LJm6Pl3YdLuUqgZpPDLdWcOpMTQ56pFoLamB61R6Omf5wNVpVsDO0wC+gCZtuNIMgWy3+cHOp0OIb6cFugYHZWrXmcIE2OstoVQhyEd0SqvcU8n4Esi63l/bp/dejB4buH5CSoAWXVebUsCrYzc1xN4z8InADVIkoVMsrql2Gi3gkJeIg36lXG521YTnF8vVKr3SinSUYUCVTi422BPbh4tryGc8bhsGMJbUHpZx1N9mGzWoynzvSzvCBcOds5koO+kxbSk4YCUC0XEQ62XBQM3eDERT6VNECYSRt9XtRa6jFd0vycCMRFWIfNpIh/Nh9x4TdepFbqCX++rVgFIhtu/LUkSwVR7V7/W4tSdwcrKbB2LGqYk52u3Z8wz+PmwuZdedXOyUsuoGsg6fxvOiEU29pk88A/ldJfZVXRUu49WsGenyDGT2Hc9M+4wIiewJZh80m+7Rzgt82zAbHPklI5YSeOp6iCZ8P8G6IT2Fn+Ga3DQa0g7VzDZXXSFZOMfec94XFylL5cL12VJEmHOf/xqh1mEpARTLYZcOwLZ83uBcjgYOkIYzdGGet4TcQbaAO4Zn2ab3JFmSrTUvUJ/CjV6TCe+jWW5Z4mgGSQ24H1S19ukPVZu2NBNgxCo+GctVxsAdJT9wsJW96k81wFHABV9UfBNEqkEbmid05i7UA2xyBALu6zkXLNh015hxX1jjZCAbg8wMvrqe/vrKRfvX0ag6y1+0qII/Xx31tY3Vzs2KHTXeW9pGvRguO2gvuMYP7aTP9s8bCTwWF5XlGgsKUOYCcLu3CIi7izTMoW6se7DxU1rBvtCyPvG3c35B68WPq++fAsQpyur0s9Q7HWVtJxMt8KUGP6oKCxAh6A1Sw+ecRNDpTN1FXXCr7GUS6gp2hS8SLa1BVDC3R0FgGaYz10ReKwaCC1/ZWtPDcXr2Vxj5iDvW/9kEyp2S1uD+jOflALfZbk8mqPjgsgCIJEmA+VMXN1gbmVOgXDLb3khOYBSrAbrl3uUEfdpAj0FSvbjBS4pZGdLUWYAOL2UxzxmnXmfW7Wk7+QArPBly4D37+D763Ifiz9htLXQEkdBJOuZkSz/hFk+RSWI+nt1+11hbE1dV9q/lrawh9x3FTzqSUax6jhEXXh5wMQGLGOlBTiBjVufaQh/cZ1ayjvsLYrgj1OQNIpJUnRvLl/2An9nAxZOJtrGDDkBcKB6gC1bkcyVGerl1LjRnSSZc+TInn/JqSLn2Qk4aYKZ10yYP83NzLX3qUZfnwOgq2pSGsAFuX5rfk1h4skUzgNwd8N4h8/B5CoYPRvSjeeQv2s/t5d0EC7BhFXcTYFdxsZsddlhF5nOTaV5/h9BRpWWKMQEKvF9xVtZ8f1AJvyJsxfqqF7Gkw1NS56I/Pr6NnP91J9z+1mh56dSPd8Z8VdOejK3iO7lfrcuhQnla1rHN66L1l+2nNdm0ROGtsNsXbrZQQZ8EQAvIm6JLcdjY6UwtkHq/UwjgmIwNflkeeQu0m7MmoN0XD6xACM3lET54iAWfvo0XVnC3X5KK+NvfwKFmsCjKglgCjBmaEZfikAuwiT1LQEnGMxoBRCW7QpqT0VoLGth3fuOGrx6gyJRvO3ziXIl3BhgEhS7bDDLBVthtGisGMOlNEUk4fClxt97g4MEo86XqyJKUFsaCJXhLAkJH2H9fi35kx0icKEnG1CLT0G9ugd1pVovl+0srcVZw/nMTE3G49sdYSRgU7CHULknOGhD6IkVfNkatLxPv1bL0vGmO8wJ4jZeRpZfGvZOIMKqV+LQbdDeMYLS9oXfKPFhjMqx4Q/j4NFSPp2w5u/I2nXrS4Xf7nWgTUfThntOILjscL2uwFoIo0wbaLtFa9hiqQTSOReIBisDYyBRfXgfX8GT4gWDtDYeKvCsL6waIH9jVv3ke1H/6Zaj/6q1H1jiRc5NIr/lY9WdlWIj2ppDE49gw12ugFRt83phABx9q3jNa1WEcC7BgFc5j9L7rIfkLGBZBFUqA/zt+RV5lXQDaupONYyLQ1c/bmt/soX3cxRiVtx6FSrk4jmP5o5UH6fI12s1o0VatKrNiaRzsPlxHCnpljejVYzLvsaR2yqG6pd9Yff1kzHBSBI1l7XfF2C1c3hOYropOHa4Ha69/oNxb9uOW5j23IEqsFmzlNO5726PLwUUHMqw1EcoIWCBY4td56Hn3RiuGScQwlpvE5hdcDI6TN+4p5ZFgkb4AcrOgeDOUebRtTkyLb/68q2GVVDsMZONR+aNyQ4UIM4IQaCqZ2Mmzxh0cobf2i3u28leSMkQSI0oKGF8K8YDGRRU+Qth685EdWHr5nJX+NUU0Nng+JWSRM0DrQyixwo/86c0BQSRbDn8FvYkOLo9MgocdM3mbUR62B+1VukR5gB6F4gfIKY7owJ35PTsuLf/++ZevQmW3us+zKKKf91pJAhuS/35iojr9rjDkzNOVEuPg8LiO4CirARmIfLX4w84yEZ4k6H9NbNhwMFouemMC1CgqgcNGudQh0e2qjPI17QNuDNjbMhHLCbGkxoI2bvFgL7ANMwIgkSBpwtZ5bYrTjrq3Ue4KURqXq7snZwtttik9poBayjT1R82tw1ZFD7ymPdWSlH6ME6mVTzsmQ66kTS1WwVXZRLdC8RYcbVMHbAqqR3/2gLYLuunQKXbJwOPe8jtQDm6WbjlGNw80y3UtPGkE90uIbGMb0SEto0DtaZ01p90V1q+7PASrYMP3hgMqeSFWp2vuaKDOwW+XCE7VqztYDxax8sI1ZwFUKyO3DlZex/FSXiKsFXEGJlvBRxmqhgjFdoKjO4uf8XRxS//WaHQX073e20D/e3ESvfLm7octnGyue/oqL0hqtopGhJ6kihUp6welfM7EJvYINgxpeRMQlhWw+ZSQj2jHZhmo7zzyPTwnK0CnapjLBOm/ztvgF2JFaXCFJy+aPVjvZhs5s+HxQP6mAqZXEi0c3Lmqt/7qxlJgr360ktmBOBBpvXyjkl1Szb4PNaqae6QlBmTZOH6UFyg++upFu//dyeuvbfTyCMFAF2z7tXE4mQobanalvscoPTvLfjtVr/8QOH3dRNDrjUWUeFxv6qedsCZ6HrZ/fPv1e16bnV9eVFmaLhwJmnpv05FZbqtj+xp28fXp1ORJVUXeurhjIHtHitdTSewT7DcAkL+HMezjYRkEl0l4gyocA50Skkkgm7qE3sZJOk9pHFheSmSxpn00mi7XB8amube4DG9qUZOkqSIAdgyDzqeRL/rOvtSDaxM7W6sRSfUSWrEH1CzA2OnMaZhlm/Xfh8v4ybeE0f0IfGjMog06ZOZDuvmwq3X3ZFOqVUX8RO3veYF6UXLJoBFeuUxNtdP4J9e7lSXrFsMaS2qkr2JZefnI/LOqGz6Eat3aqSf916/TOTOQROFj/7zpcRmZkQpWBi95zFzLOGiKXPvorpQcb6hXpZnrBLJZbkohX1brJHKQ82piBrR9DyzfXV9++2ZBLu3PKyJSkLxjaKhE3RnRlUonusJeRWp+8igSoiKOAi+q7w67GlYW2yMAMYOV+HapSJtIO3TALq/3i35oDagAXYwSlzs2fGqaQwSx6jG2EM3KQI6VCQVXSgrlOm1MgqTSxl0SkJJXG6Kt+4wIuSoNNvBgJ3SADbO7557nAvhaDMexHzzEteWUdFn6AfeiYds+EeRnuU8FwznFDqZd+fcGYvE9WHaI/vLCONu9r+l7ETfsR9zI3N+u4u2AoYapLmm0rwKgnQzrbBsl/OPBxx+Zz0fWBMWa29x0ddAuTUmdEItAL1nAwFAyPH105GQ7GPVRPXKK9kX8egQDb/z1vDfS8w9vI2nd0vfxdbwmMFIapboSq1wBBr/JLiXTSlyXtudua9bqwZA1kk1lI+l26ai2WkQA7BmETAa+bM1UqY9hkTAsqGI5qbXQRDoTsYUaWScnF1cnXlgp2UVktbTtYygEzAmh/zCYT/WTxGOrfM5kz/dNHa5WOqSN70h9/OoseuG42ZWfUzxpN0qu/VSa957WdA+ygK9ipPRuYwtknn0G1+qgWCbCDY4zu6q1k3JBNAg/cksPZd+pYiUtioxoY7SEoRDVKzXIOVyJeWYvqbVZwQYTKvidncZCPNgh/F/P3lx+oP74c1eRz6dbzbXjNqIijRxpkhvlamwPtDso0rdqcEtZ5qWa3WvuGbupU79Ddtmq/pySHar95nGo/e4Tl6riGYoanc9tXVPvNE9roJJeDZ02zcaHFTrZxuqNsayBgsmjvUTCjh0IFvagtjQ5ssrhSyaAIyEj9z8nm+r9V8qkljwIYFBktSUFWzNhQ0hjjd7RFySKCIfiLBDP+rTkO52uzw/v1SA6pheKB62bRn66bTVedOornZ8Nr5B9vbqYdB9t2/yooraHlm49RXklNENteSc9/tpO+WHPYMBbtrHCFjbN2nmbntXPw5/Ny8iZcyX/Y22eCLDm6bR8NAtzeI4LfNiOZ1bYAWzMc3B+04WCwcHDlp5wMB0MFFuEKNgeH+r0IpnKhoAwX1Xo6UihDYnOqpkxoC9sPltCaHfm87jBUVRFWgcLokhP7Fqvm+RQAtZYLdrJEVyZybjdCp8G1U5sna596dpPMJ6QmHvTAYF6iPk7HlNa7wYgLLERU7zD3fgRhONMca3dpUqVRA9OpR4BK4Yj+6fT7nzStKvTJaprFV/OjK3zJUR8z0JYKNoifewU5t3/D5nK4AdQ4tAWgzMAODvQvAhidAWSJob6AFBUuosGMZGmw74zkiHYzLtD9AFC9RqKnLRJx9FiSCiJacRKvdxDP4Ao6+jrtVjNde8YYuueJVexNcKzCSylQkbjq+JgzBSEPDPhcfguRksK6Bj3TkZaJQyJe6kumlBAXnajoevWsv6VP4BtyS5iTMxokI0y20F8fJinUfvqIcX5jtBTm60Jm6VjxkvF3rh1L+G8BgmsoK4IB12BTcgaPxsJ7oyTTkUIt6oJ1cEZftKeykLyofIc5D9qo9n/1X21ahclkjORq8nxBVLDrp15gTFNTQ00kwyCtbjx72pLel7z5e1vsw3YrhUSAnkosOp/8cDsHvidPH0Cnzao3o2zMviPlDa5NoSShoMrBx7ghmfTGN3tp/e5C9iX59TWt30sC8fo3e+iLtTms8kGC66Eb5pDNGtg8EwH13177gcdegi/X5dC9V0yjzAirWSIFRpMhyOYeUVwvA4yFUq70kQz+QgHXb5xD0Uzy148EDd6ZXSUbgjHcjKThYLBYegwMegRb8BVsPdlR2cYAG0UnJEARHOqO58FiyexHSFvxNTWCqESJqY2eDNsOlNDDr2smsecvGEoLkzJZMRRpFajh/ZQ1qFl1l23YTHKufYs8R7eHtZbrSkgFO8bw1lUaFQ3rkOktGHAdI9fu5drfNVpkNZCVY2ZwmDNDwY6DWkAxZWTbs8yqgl3q1U2lopg9brl/tvUqCPfoLPwZWfVMaLW+uIHpjdA6amyWcu2FbNIwl8nbE/6+05MjBWVagK3km+GAfnoVnDvjlDy6lQDbrwdbVZ4gh0fyafxQbdswni4So7pUAgrPpSrYGSmRX1Srvu5id4JfsFsX3DZioeXzaM78epIiJGwJ9f3vYSbcXOipxkLDbOUZzvGn3MKzOzEqCQog9MXCSIeraR43Gw7FTT+vQ6XsCp/HTd7SYw1ctVtDKZS8JW1zQUZVn4NiZczVzHXRqKq1kHyq9/sY3GT287Hiap48gR7mDbsbVubQd87/jx7wZlAzchtXpdBP/cLnu6ii2snnxxtL9vIHxvcF6pPerU8dGNInuMRKIJDQu/I0rZJ9MK/SGPsVCnAlhymoaqHH9sPLoTm+/SHXCK7Tk+1UXOGg5z7VpLCdFWVc1dz1T42/tDRSOyAR8ylk+M+vo4df28jvTVS2L8qj95B4VEFyoIRTtCXiRv811n8hTHVoDdXGgvM13HaZ+nu5dr1R1x1fddsCbLeSh/caFnK/s0qCRLqCrXrp26rSgDJOAT+kaE22MFQXfjFEY5BgZvNlmGPq/dqxigTYMYY3b69xUQ6UGVJBinPTJ8bBjV5Cf+AEqxkhENkb/S4UMJpESXxHD9QrTW0gSa9gq4U8uzZHYBxFMGjzi4OTiAeiUl/gqL5doWXUGJziijqqc2qSRrPKfusJpFBovO9UBdvfAyBUEFwnJ2gJk1prWlALm3rZdiblYXi03nOuDP3A1v0lERnVVd/vncGtGiAzNQoVbL0qXlJrItJ7cINNDBiyYARWYSgJWCbcxlFd7oMbDcWPbegM7TETUnlObvKlD3FfbNJFf6aE0+6ghLPvo4TFd4U+PzdK48S4YgKjJbQ+BLkIUzOXPW0YMwTDQBUUxy+8nuKP/3Hzz2e4yzcfYHv0+ddq6oXxPF4fPfXhdsovqaHqOjf9550t9M7S/U1nJjdTwYYfiXIvb1wJ/Hr9Eb4OYLIDqtfgs9WHOTh75M1Nhqs/KCytpeLyOlYuD+7dtopLaqKdJg7TggJIvEPlo5XaOXPcxD50zvwhLc7ahux15RatFeDq00bRLy+bysH91gMlXAVX11bVI47kwjcbjvBkg2jN9Y1EQspotWkknf1oxUFWBuB1oDXtXd3/JVrbFy0fGM1B3aed1wHWcUia/OH5tU2OH1NqvVqkLfsvVMPBYOG2RSh/fN6wqr2cuNVVREq9ZLS8tDHZYfRfhygP919Xc+ulPrkjEmtOlbBvS4CNBCWMhhVQztVatCRhpMdlBdu3b9OnhcS6TFwC7BiDpXZ+vS6NsQ6e2uB7uCBaGhkoIGOZePZ9FL/gJ2QdOS/sbTmcX0UOp4f7jvuF6dTsj3LgLnbYsZF8kY6myYg/XL3iYN7EI5ZCpapGAuxQ+5uVYkGZkRmL6RaqVcG6d0ciwPaXiVdZ0oLqMzWMx5KzjAq2CrDhRQAKy2sjsoBT/wvX/Qr9+INBU6RBVQygCmhUE4K8cRuVqDb4PNRn40N/r+ACrGbNBjJlMZ7DFs9mStbeI7kHM1QMZ/gIV7z8F8JBGyH5zY8OdxHuVvN5e48kG9xidRVBSxXslsbYNbcwW7Ixlyu9dpvZGNeIsY5b9hc3XNiiIhZgYcuj+WCUZYs3ksagosZJH67UnhOTK/Dx49NH05A+qYak8oPlBzioLiqvpdeXaIlrmHTG2QNLsUNh/kSt8r5qWx73RAbLvtxyfu1I7i2eM8hQhkHqjvGXjdl2sIRHi8FrYsboXqyWwf8BVMEffGUjP/+yTUfpF4+u4OTCS1/s5skGz3y8o8OC7PoEY2nLo5r8VBPVdS76dI0mPR43WDvfEIDCbyNq2xet0XtG722vJuc19ucLn+2iA8cq6aUvdhnJU/57pQJCexEk3uH2IitfhRCl0q3Bycs2zMM2gmicz3btXtbAs8RZ/16E338detsMX1uwPQiKI+RtwWtbJE/R8x9GUUexertmADlhaBZl6W0h1ebkiFewcS817uetBNhW5alzbFdAM9FYQQLsGKP+whw442VOTNPcb5OzKG72xWTXh783+bvUXmQbdVxYi0kFHKABxnGF2+caqIJd7fCQKSm9XY3ODGmvPr84VJRETxljCa2jbgZqgYR+S6AksaFgLMgaS8TbGGCr/Vnm0w2+4NDfTBDBrs1Y7JssPHrFCLD1oFeNp0M/szchvU0LOCwYlIFJviPeePx4uzVqEvEyjOoK0XCmvoLdlgA7fDk9xhHCURuVokj2GjY/qivCkjw1JzeEShP3gON6jEV4mIsb1aYRTLXHFJdMpLcZBTqeWeauL7b9X0d5lYPeWar12l504nC6/kfj6aTpWkANGbCx73lh6wlYxVbmZzzL1+8etGZ7PnsnoJ963gQt2D1uUl/61dXT6cpTNC+AD1YcpLseW0l3P/Y9/71yBY8EWOxiSgYSX1v2FQd9Tr+pB/pzx/emXhmJPGIQ57XT7WUDo8Z88r32Pp0wuZ/h//Gj+UPoqtNGcbsSkhfvfLefXvxiN/tBoLo9qHcKHx4rtubR99siEyyEiqpOBjqnWZWgm5/5Bx5Q/iChjyTiHRdPplED0vk1PfvJjoCS/7YQ7fGAje9X/ny+uj4wxX5/9es9DY1s9URSa3Pnm8PwNLDajekdkcQwJsS86RAJpCLkyQVoFeKJAeFdXyHtNsy5dMPfUMC1RRWq2tp6Y2yTGiuanNWkbSYU4PcAkKDM0BVsZVHwMfKW5PJYOajY1DjIllRNWruAL6yWv66CBNgxhjopWzLSiZ93BSVf9jDZJ54eliwzWHbpPWtq3nWkKtiQCho9Wu1kdObfz9ocZVUO+n5rXsCbOZymQXJCZGYZdgeUCQ96BkG9Y/CxZse3NIdaCOFmhdaF+gp22yq6SvJf7sQsbCWPLmpx0YTkkMlsblLBRrCOSh2oURKucI9vGBh6tGMup8raoK89WhJxHP+hVLC1/uEjDcYEtmUxHk7wqswcee5pG5KJzYH3BFJjQ5EQwYqXNhJlO3+NvvBggUJJycnDWeQ2CLCDcDjmqlULfdgNZO5+9y2YeCEIHtw7hQNEcNrMgTyRAu77qNzxwlZPjARa2CrTwcb3w417ioxAtXHyd8GUfnTilH6UEGdhUzV8wBzwlosm0+hBbW91AnjMWWM1P5SNe1s3pMK+/uj7Q7T7SDlXo885TktE4PVjW0FjuTCcw/E+4fWdOrM+eYT/wft53vFasuCzNYe5io3q/JN3nUC/uWaGkUh4Y8k+qtEnYLQnLbXIGOc5jmMkb3R2HCoxkhd4jRcvGs7XU0jFcSxFR8IenfVHY8WVAooKlfSA4gIJERzLP+jHcyhj8ZrDufM7o8qoqsTBUFhWS/99dwvd/9QqeujVjfTVuhxuO2iMOhfDSQA0noFtPGYbe+Ld+9fyZwtGDYbpOVSfOGh5fnuwGD34+v4MVx4OHxscJ5NH9DCmiBQ74/1G4UUm+eSvQgrmXmrOUuqj5g0quzriuBRj1LsORtapNlRq6lx8YwNjdblWW1FzsGEYhhuctx2NzhrPL24M5Hm/fPx7Ns6xWEw0c0zDDJ5IxNtewWYnTagHPE4O4ILtOeVqrt/+O1ZSywtKSD1V1ThckpVEvM7NN0Is8vnGGMgJ2XAQz+RFqzLgUQE2FoV4zceKa6jcl0y92nB8Gwmh+BQqrNCko/4j7yLtIq4k4qFUk9kQBm0X9kRjURgObelv9iDrHoVeQ4Bk21MfbaeR/dPojlOUEU9JZEeiKNfb7OEB/wbHOeTOOw+XcqVWtSHwNAn0UaPdIoTgHEDSh+dGu0xzz9sY3r+luQEX/cbCzK8PH0mwpZu0hddZ8wYbc6eRdBveP432HCmn7YdK6XhMAUjvq0kNAyxsG5sbqvcE/w9UL7Q/CEivPHUUfyisVjNlZCRRaalmuhgJRg9KZ0dvyL5bAkHKv9/eTPuPalVbjLv0dwDHeEv0He/LreDrikpEf7XuiOHtEMgxfMHkvvT5msPcgoN39+KFw433//RZA2nl1jzufX/w1Q2cJJ8zrrchoY829S0ypS2OOvQvEKh9ikQBQK/8ZSeNZEM39O1PGp4VcDpJmxQpNeWcKMT4u0jSnN/L+ysOcFUeYx2huDhWUsO+ARjBNmbwHIqzWfjc5ip0GIEL7pUYUwhso48PKbj+04vrjYAa9zBMxIC51o/PGMOjVxVq5JQqBoW0fc2MSuWCi6pCB4lz72qq3fQ5m215dVd61RscDmrNHc7ramkt35waNRjW6d4MOCegAFVTRAqceqEHahBHldYX39btDXFuujldGcPFboAtFewYgns89VEF7T0b0h8s6ODOioUMqmahjjVpDkjqlCxKSWijJdFq6aaOm9DH3x/kcSvo5QOQ5yG49r/R+yMS8dDJTNOzrSrAxsgQXXoUikzcV1fJ7s/cP5+UQUcKtN40yCvb2rqQomZh17haHUdUPzYrwxg/hv5lf2f5LD3gL3bFt+n4Vo6qCCxKq5SDeOQNzvwfF8e4LzH4fmhDFgyn2iD2A4Iu/37DSDh0G54V6Vo1MVJgW5W8GVXHvSVm41gM1z23yXPo480CjURB8ubFL3bRHf9ZQf98azP32/715Q1GssqYJhHGYlBVr1GBCLbC1dIsbOW86y/RR7AIpRJUHZOGNUy+jNINM1ULkjGDPoBqItCCHMoRlWBDT3JHMaxvmhGMoH+4OSBxRnBttZhYvr54zuAmzuTZGQmslEAiBeC+tEqXtSsDt0BV9NsvmkTzJvSmK04ZSQOzUxr8DhVSBGzwUkGwjv7sP720nnbnlGmBWAi94+G3VKDC5m11nzpdHkMRBIm7AkZw44dk8rY+E0GpuCk+WUv2ki8qs+3r7xVZDcatqVaFc3X1AUzuMKYNge1+PVFjTAkIo8eZFR/oYzZbWnSC9qeyxkl/f2MTbwO8dm67cCK3dGDth3P40Xe20Hp9XKt/BRvXnlCrp/WjUhsmxkL1LHGVF1D1109qiQg9uLYOn03WEXND2p4G22C8rvyItnsGW0hoDI4XGBaCGbp/hZoiUlylTe6gCBapDOf5IEfnWYwJEBJgC10Avvj4PHzhVz3K7cHmfcX01rf7uK8VzqyYt6fGhiyc2i9iMnTc7CGPAw5bWof0YONCjsXf29/tZ2ndO99pF2f/PjpkcxsvtnGjAdKDHUYFWzc5aywTD6t/3mKlHD3AHtCr7VnbZD3pA5d4w8ypmQC7XqaeSYfyK/nrQX6LWpCWZG848spZE/TIqwbPpfdfI5hXI7rSU6LTngAzOiz+QbU5eHfSUPqvETD84bl1dPfj39O/3trcYKGMGdNA9ZwHCxZ36jhSx1WkQD+oam0AedUmIov2/kdqQe6foPAHwdpfXt5ASzZo45nUNQfXoA9XHmxQFQlnXm59v3TwvYotJZ8CzfHetE/7O4yuU9VrxcgB2rV//9Hy1oN3v3NOUX/+J0fEGyRcEBipa5xK+jUG+08Zut1/5XQ6cWpDQ1IF5msDuIOD95cd4KAS8vph/ZqvOqOi+5PFYwM+LqrWv/vJTLp00QiaNTabZaZ7j5TzsXXbv5fTzf9cRut2tp6gCSeo1YxETaxw8dVWNiMTrg+ykKRArIZrkbqG8t+YTHTN6aPZKR737VCk4rhuQnYPk7sm2wfjKaNNLfJrEGPahN9xixF1KC5A8TS8n3YO2G0WowXvQF5lg0SVur6GgposYM7oG5TXDJR7uB5D6ZCVGkd3XDSZJg7rwfPkf/vjGXT8pD7wQmfjPPTHA0Ot5HZoye8QMFRggSrYIdwDavas1/qFUbUefzIlLL6bEhZe36Y2IUP6DmPFCOBTFewwAuxDeZX055c2sJ8L9stsvR1FGZLi560ZCYa0rV5P/XU8SD8Vs5Hk7diJBdFEKtixKA9PgXQq8rs2UNYa2WxcYD9ZdYjuefx7evlLracRTBvZk46bGPwMx9bAzVL1vLa5RzVE/Bdq2/VeL4AqwYcrDjQYk6Kqk4qySq1ihQWKCsiE0HuwGwbYwWc9vX7VXKBmzw6IgLO9Oh6rapxBVLDrnW9xA2xcbVGLblBaZ27TfGd/iWGZmoGtS7kjDc5LJRMvJ93srapp5SnYANE/uMgtrOL36rF3t9JhPQj5YW8RvfbNHiNxYFSwHVUhVYfZZRe96nyzb9mUJVRWNzKcKip3GImASPVhN5egeOXL3VzNw0i22y6cRI/cPI/uulQzK0JAxD3h6lgNpw9SJSUygr+2tzQLW0kE/cdoIWnbnIR7gC5zR0IXlcv6/u4WKth+wVhOvnYcDYyQsqotQEUDjhQGlp5v3odxS9qEgcbXCn/GD9Fe39b9xZzkhvs6QJ91WxLcvdIT6OQZA+hnZ4+jB2+Ya7hzQ7GDgAlV4eZ6tA/mVfBYtZ8+tIR+9fRq2nqguMHfYi2hFGCogv7mmTV0+3+Ws3cLgjs1raPx9S+QfFpd0/E+NX69uI9cskjzCsDYLpjntQaSML9+ejW/PmwXrkONaWvfb1DTJvxaGyDZB3PGZTd4jWou+wG9hYCvpyYL329CdepWPgZqlF+z2+jzsWLv9W/20r6jFZzYuP2iyQ1UUlBBXH7yKG7DQnVbmfAhyW1UT0O8t9VX9jPbZDpXl6NNQbBPP5fi515O1n5jqa0YATbuQ/p9pS3Uj+gKrX0K0nwoTXBOILn683MnGIUpNfUE5505ggkiXtug3Qu+CEE6npvUBAAUECLwfnVGpAc7hqg3RYi8PDy/tIalPujXQn8xzwj1aQ6F/vNCwbC+qXTfldOiYqCGC0RJhYOqKInS2rMH20+WpqSJwOny0rvLNGnM9FE9uecFRiTI7KLiDkoqtQokbj4dWTHpaqjqDgIpVEFQyVKL+nAq2GpBpCpY/SOwwFY3LCw4WzOXMZI0SZns3huwgu1/A0zO5OADSaRQK6xGDzYq2FGWiCujM1wbSlzx1BPHuNfNTr/+o5H88dVVkSdfU380dm3F4g3OuF+vO8LVDwUSVIum9ecqFCSr+P3Fi0bQyXCWhkTa7eTFt0nPjLeGYTqXkBa2sU3Ax/X5aIfuP4HeQ1Se1Og1D+akRqjipZJM/pVfmNqs2qYtZG84Z7whQx7RP43sVjNXsVHt661MzlqZ297S84ZyTDY3Cxtjddhd3+/xIGOHMQ8OIxU4Nk5CYeGIBAxeywB99i/Lib1uo/KG3thAbtM5Bdq5F6nWpbbQr2cybdpXzKOXAqHMq2BQ1Fo/N6q0OAdVkhtGaOOHNn3/wgXXj1svnMS98W63lz5fm8PX5hVbjzWRoa/ankdPfbDdOH+xP//++ia+J1544jCaPLwHK93yS2rp3OOHcBJaXZfRU4w2AFwnofZAgtTSc3CLBmB4fKA8BhoDqTiSDkjWYc2ysBklADhaWEV/f+0HQ3UGo733lh+gG8+dELQRW1uonzZhNq6feJ93HtKuKbPHNby+KWn/Ef0YMsUlkXXINHLvX0OOtW9Twqm3Bb0W81boa8gWrqFIhvzr7c2sCFBcf874gCaaCOxgwgePgBVbjnHfuNFqh4kbeO+CrHiy4qiZ3vRQ24QcubpJY3brJo3BAjdzJA7wupC4tISRwMdUCKwjsA+NJEsAPyXIv/1byxTwc0DBC8kPqH/+3+KxRtLev80SLUSRHDWn/C+0sXLBFfdMuuM9n+OVhWRB20WMIRXsGMLIeKlZiBHC5fbQP97czFn2OqeHb7CQTi3fcoxPdCx27rtiGgcLWLT89OxxUXMnVxVDNWaAZ6vyfOrowRllXdaJi5LKZiMrroJoGM9gQYv3AouKvGKtHwwgIQACGc0IzQOpH4IqJHDgxtxgFnYIxhj+RkdYlKvKZ3OLsbB6sGG8p6SqzbqIa9sB/wClcmiugt3wBhjcGJ8Gz6UvNJz2NMMbQFWZo2p0Vu2uHxPTwo3bBSMdn4crJY0Xc0hSIYDGeZQYp0k+0SuL8wvn3FWnjmKpG36PsUVYCLdkihSqU29bQfUYFRtUcNTs5qKyujaZsTWGA1Mll/QLdNfuLOD3BZVfFVwDbMvQvqnGIsxIwqIFIYTqAUsB1WIqhAC7uVnYRtUZDuIYt4Pe6hztWgt5c6CWGtxb+umL+dyiKq0aBpMpNjOs3//a1z7+nTLxwSJdKSH8e447CvSsgkAVUpy3SvI9pZUAG+P3jteDFwBp7llzG/ZqRwIcRwhOT5k5kE6dqSlPNupjgBSQtD/z8U4+DqFiu/OSyTR7bDZXOZF4hlz4F/9dyckRXNvRbvW13isK8JpR6a6fHV/aTMK0PnlwpKiqwfsZ6JiZpRuPNt5ef6CI+OOza9j3A33tv7xMU34gSdZYKm5UACNdwVaJv0Rt2oSaZezTE2Xoufenj+4jAH8KpTC0Tz2bWwU9hzeRS3cFD+q5dbWX/3vbmA+WHzSCa6zykDAZN7j5ayjaC8Ce3HLDi6a+ehpCBdtZo1U7A1yz66+trT8eEm9ulUgIQYUTbaMzeFvUvP9Hqn79XnIf+kG7diEI9TMgw/6FU/uNjyyll7/Y3UBafeBYBT3yxiY+x2AsfPN5ExoE10B9j3umT79PR0IFatwTQlSCmdroeN/ZkQp2TDqIRzbAhgwaPTbIfiEDiUwqbmS4qSNjDqMNVAN/8+MZfMJHc/RXij7mqtRlZyMO7tGqKauXm0QBDq71+cXVlMizS8GCSX1ZrgVXTxVg9M1KZFOjo8XVRvCkKtiQbArBg4p1hqqMVjg4QaGZUZlYhuWtrSCzLjVrcf8Z0uxMw4kX868DZYBDRd2wkNX3JupO0cjMuxxkstXvb66m1WiVumN1cbywRPDQuKqsHg8BmrlfBnnCvAGqRWgVIYlQxotb9OtFi/pZ2JBCZ3Fwg+CpOaMc9741/Nk6bGbD7fb56MMVWp/wmXMH0XnHN+3zPWFKP3ZA/vXTa7jyBxntZCy4yvNCysa3NhkgXDAaCQzvl2o4xJdW1vkFDJGrGGDxxYZLOpv2ase6v2uvAgElto2rw7a+9dWWyiKyxCUF3xeIhCYWfiEkJoxZ2Oi7rCohk24qZ4zR8rt+o88XjOjfvI8I7j8IxLVKt1k75srz+bWo5IG/YkTdkzCrndUmJjKC9I5EbQMSbo3vnZBUI6GNa0RL8nDFBScM4wS0x+OjxXMHRfU+rKrqr329h3bnlHPfP1yKtx0soX+8uYll7ZOGZXFSDNdxBGB4fVCfvLlkH1//kCRDUgAVa6decUNiGtd7eFQM8TM6a6nlJ5gKtr+7+IFjlc2uU5DYy8mv5G275/KplJYcx/8H2e0Xa3LospO1GenRnG0fyDdgwx41y7hpAIPjA4l+BFbwf0FfPWYyx828gByrXiPH96/wOD3l3t2S47m/mWsgECAv26Ilt2GMN2VEz1aVUbhvoxUCBRoY4CLgNoVxLTQSk0jGNVIcqVGNkBo3vvc2fZxSbT0HOXMQ64dQwHvMxmlhGJ25DqzTv6iluqXPGI/nf5x+tPKg4QyOpBSMYKeO6MnnC9oZoKhEf/7N500km9UScBIPHg7nJ3yMLBFSYBgzu0OcXmTG5JX8vWF5gXQFJMCOIaIlEce4GYCs9RmzW5bzRPumnpqkS1xqMQs7kxd8yCC3lHFtK/XOlel0tKTWkC/DhRYf/kAmxQG2n+TPqGDrDo5C8ODmjAUXKgrDSZPy4ubMclBc1IO4QfovWPYe0YKfEbpJTFtBQAyDL7fHx7Ow41CFc9Zyr6m/dFdTQPi4qqA6DAZmN+0XDFjBDvEGqEnptEVfuQ8BXllU5eH+Bmo8C7uVEXqomHqOaj1wtqENA2xI59E7hkqZqpAFAu/blJE9OMDefrCUpqj+5hAWu74oVbDRQwpGD8wwZoQjKVfvsB6BikEAmTaSMqhiNNe73DtLC/aV2zKqB5qcsSBoYxrl3m9O69OiFBDbAfdrjJA6e94QYxY2jHBwbijXdlX9879+71HnaP+0FqXVQEmroR5h+b3fQs1IrPkFYirBhsA2mgmnYOmTlchtQ6goIfj3P09Vz+30Ub2Cai3COdPYYTyaoD8biQ4EtzD5nDk2W6+qaaPDfrJ4TAODOhwDOKcxNgzBFsbXJcbbOMjGeY/zBUECrveY4T0sgOIDyg12ufaTCaOnmkcE6vff5sC2QhFV43Dzc6hKMI9xRGzm9BgmgBeeOJyDawDDLgTY6G2fODzLaFtQff2RNjnzN1RVQa0a5QZpfWPwvuLchvz9aFGNMYrMNuEUcudsJk/udqp55zfG39vHn0L2GRcY1XHjeX3eBj4hgYDMHkEclIqQfge73sP8eOzzvbnleoAdupqncavXF2sO0/5jFXxM8fg4eJa46rQ2oRbUNcb4q2Qk3iIr4jWcxMOYhe05sqX+G/0Y9x95hWMcySh13YACBMkqfPibHf78nPFN1qXG9rGPkZ3XFzXmZHZMiYiiypDuh7YON+uqv3BalboCIhGPIQKZIkBSgkVISy59+B3Gat335CrOSPsbmUGmBhOLYGRq7YGqlOFiU28yErqENhSMRWBSJlemqYUbeR/957j4NXYVb+vM5e4IHDCBGi/k74AcrKyosQM8wCzdSIAbluoVx6JNJbcaZ2TrZeoZVKQnXHoFmEutlBBYcNePogsxIIOUzq09R5FLW0SqQC9aNJiFrd9kAxlaGWOefF4ypWU3kZSh7UT5GaAi1hIDdRd49B2HM6rL6OfTqyltBYkB9Bmip1YtKtFCgEV9A2PGSFSw9ePLpFelACr5ANXOQO0ASkqK9ws0d6y2hKcV13VIe1HFRI8mFtTvLTvAldjm5ICGHFY/ZmrqYGynbd/wlirY+nVWmVsFMjoLVAncf0wLVJRcvqNBlSk7M6GJTBz7aINeqTpuUmQd7iOJCvhgPIjqJJI3CXEWY8RXIHqkJfD/IbhWSVQoLjC/e1C2ljhBgG1UOf2uf8a5gyqmbgKJeehKoaFmgDeXgFAVbgT0MNK789EV9P8eXEI/e+hbuvVfy6i61sVqvLkT6ttWJgzNYsUMVlBPfrCd/WgaTi+IbIDduHUFxnVYviFBoMY4Nkb5CcBYToHgMX7RDWTO6K+NqdQ/nJs+Iefat5o8Bru1q3GWqiLsB85NBLUq6RBKMUW1qxjO/wH2bSitXgWlNfTaN3t5Ws2j726hOmfwbULeKI6yNTxidLO4YEHiyBg96jf60OynAPvo+4Os9ECF+nfXzqSTpvVnFRyUeFConTS9P916wcRWlXmpus9LuS/JaMFoq4u3v1ooFEwiERe6Aj4MjFemCPqFA8Hxw69t5IoqZE6YeYmbTGNws/lWdx3FDRJZdFU9gvQEj4MTWckdO5IMP+MrU1/9ghrlANuoYCdnGpXpvj0Cvxcq8PavYKsFLbKOQrhO4vUBtomznruCCrD9++cpKZNyCrSb2ODekVtgI3GSX1rL2zgIVbriw022rb5Sl0nF5Y4GyQN/cKOEMQzOuWpzMsWFUcE2bnZxyVRS442qg3hTibhmztbSwtOTp5kwWXuPatL/uFo36Jo/sfWgQp1PSGYZI3NCkog3deoNByxOnv5gK72nj+wDqKigAqsc1nFsVFIyZUZIklc/wqU+6blZl4dDmhuI3nplCyaM8NUwpNQhVA9aGmuGx8QIJxX0Kpb+cJSrfthWj9+2N1zsatu8N7eCAxn0v/qPW2qM6rWFOghBvUUldRoE7wGq4zkqwI5Mgi0SIDjCMYwxSzAlUyZ/Pj2pHQmviGjKxD/+/hAHq6iKgfkT+obdfqP64g/lV5Fphrq/lzTtEfY7Z9UYszG6w3lL4JzEmgZeBWh1Uz3BHj3AQML0hvMnksVsJre3vtBw2UkjuEKMtRL8aH511TSKV0k9tAR53C1Kr9tSDdysv75AqhQFgi744qj2CoU5PoUSz/0VuQ9tIlNCCldWHcueI+e2r8g+6YwG7SVGsisJvd9NXwvGkiLxizWO6mcPFpXQwkx1XCeMJGwoFWy/92XL/vr/wzUAYxHH4h5QdrTV66uanGBupZUS41VRrcexjBYIJJCQTMdraS65oJRA3pLcBoaLraG5vfv4XmQffxI5Vr/B3hHK3RzJN1xHwfkLhvI6Hu0K/i0LwYL1Pa7RRa54Yqs/j1Nz8W6DyZjhB9IoWb1s81H6cm0OZWck0jVnjG6SNDeSvM0k47s6IhGPEbSLY0NTBJiRIbgGkDhhRMWFJwxv8r9Kiqb4al0OnTJjAF9E/OV60ZZ/B4OS0GkV7Kx2rWDj4nfsoAqWA1ew++o/Lyit5SAJiyUYHPkvcIUwZmH7j+pqZd50c/3zFZ4EXlBhEdVcgiQcVFUBFWwt+G8atNTPbs2k4mPa8RCoGoFzDEkFeB6UeZIoO4yKpzIFQhXCGNEVdYl4wx7slhZPbj3AtvRpuDhAnyHkm9jnqP62BhQA2JfoU60xp+r9ZO1rcoZF2JvfHqBPVx0yFroImM6cO9i4XkI+jwC7xJOgBdh1lWz0BRfVSKmV2BDroPZ6JgWQkQJ4aMA0Du8x3Jt7pYYTYDfvIL5s8zEjuEYV86y5Q+iNJXu5uonzzp7SVD7ZuIKt7jetKUywUMMxjfsAkpmD1L3A75jzv24rCb2S2o7X50Z3Bob1S+NKnNo2eJ4gYEDrCaTKnRkkktDWguAa/f045BdNq2+NCTfARlLaHafJ3XFOQ76MimzjcxZVVVXph6FaayCB8dX6I8b87p7p8fSzs8eT3Wbm9gEcdxOH96TS0uomSgNUB//4wjq+NkPxh9FlbK7H/hqlRmGjrfgft5iegWMBTGzBEV7NxYbaEO+JUgfw41jjyKZ7Xfj6jCbX1q/IW3qE3Ic3kW3kvFb7r2FkC2XOp6u06vW5xw1pMps+mCQ0rj9olUHyZGhKvYFdsL49/u/LjgMNr/PwYxinKtit3C/V62zJDBiJiv++t4UTxmhlyCutNRJIUM/MGNOLTp81sEmfM1dkbQncR42KtEWfSd7qays6aATotgmnsbrLkjmQ1Xp4f178Yjd7/SDhBof9tqAS+8VVHo4VcD9C1T9cF28YXxomwH730mWbjtKzn+7kr6Fmwj3gjosnGyPDgP9o02j7N3UEIhGPEeoXXD2Ng/Qb3ZlTmXt8tuowB9qNUWOn/t+ZY1jOiLnDKqBRGf+WDGfak0y/AJvU7MMoj+ryn7t5VJd+NycRhzkKFpcwcYGUDIoAn16ZVCMShLZVsOvloEUh9c/nFGn7Dv1qgQxAwkX18kG2pipxjZM+9Tf1LK4ggh6pDd1gGx/jRe74euMWXfIdqlyrRA+woy8R14JFBLsuu3IRDzCX2O0gb4E21s7SqIL97UYteJs3oXdQPae4UWOBDIpc2usLtjrM/YZG1j28YAt9xnf9d6URXP/4jDE8nvDKU0c1SGio6n5xrYWNdfj5laqirRJx/VyAtwB6SBHsNGeIpXo1Aa5LRvUgyFnY3NtvzMBuGmDD6RhceMIw+tetx7GMFLOm4U+wdke+8T/+M+z9zwuwW3cQHxnE/caQicNJPMC9oPG85E17i/hajPenM010UMERFvUYz/fqV9oIobPmDekUqrGWwHnKs7b17/F1oNaXUK4jOIZRUM6tQv1HH/lXpyVuGvcI45iDbBaKhmBk/6MHphvvKcbWwYQN/weVAHrBW3KWR0/2jedN4NeKhAgb7AUZ1IWC/3GLoB+BCRJjLSWdoObBe4D2vu91FVBz1wDrwIn8tfvozobPG8Cz4EhBFd392Ep65as9HOChih7IQLE18LxKNYLXZIxvVNXTEN8XNWoPhpdgT05ZvXKq1Qp2UYsVbJjFocUFwTVAkQrBNdZvSMSg5RKtL2o8a8PXaSZLD0396S3W7gvBwG1TuiQcvfG2wdOMVjgkrnBdxPF6qT7PPRIqUKyp6n1ewi9SaUUMHxcxlGkc7kVvfrvP6AtHTziSIK9/o71OhXbdNmkjNuu0fRpLSIAdIzRecKFnlaWTJqKbzpvAYzuwuPjfR9tZ7qKAvE71fsHpU/XywIwCQaKqKIwc0DkCbNx88Zpwsa+1prX54hAM6ubpiks3RjzBLby5G4mqYrPsTzcdwg081rJz7YEKoFA1QJ9VqH07/iZK6qYMR9NIohZsCFrqK9iNAmz9exhdqWOouX465TZfVG3SnJdDrMzWu2NnsJICNB7tEmkwUUCNVCr2JNZLJ/1GMgFPwX4ezwVJt9qPqucSiwgk+BZMDr4CppQkubX6+6RXh1uD+w29er9hUujXNizC/vOOVuHA/OFbLppMJ04NvN0qmEPvfaBAMKyKgTqu9fdwiz7OCZXZlpIT/n3Y/okqJBxafV7MlEZ/P5kMR2IF7jd7jpRz8AETI0hs/Uf0YPSSMWIPZmQImvBRo9QWWSwdVdfLYO439SOuqhuomVQ/YWMTOzVTujN4ifgDs0MkYKEs+OebmzigwmtDhawrgMD0wRvm0gM/ndVmkzXcI5GUAYeL6owFu7qmNe71XLpZS/gcP7FvUPdXGNv931XTuZjwx5/OCrlVCH+vFCKb9hX59RJHJsD2nzaB17h5v3bMwmFdnVOBwGufN75PA8l8c1j6jubPnmMNA2wj2eV3XX7hi10sC0fC8KITh3NCItx1zBA9AYI+bJOf0jJYmbixDrOnUaGuCkQyFhyDcaNuItl6D7aWULToyfDGQN2AcxD34bsunULzxvfmMax/vWEu/f3G+dzrrBznoYpBYt2/JdCcpZ23niKt4t8auF55ju3StqmPtm/8WbUtz5h/3iMC9/F6XxuHX2tV+Mab9a1W6YZp3HebjvJ7COXCbRdOpBt+NJ5//s2GXCMRy/8DJ3d1DsWgk7gE2DFC4548LHYAMrLoIcH8WPS1YXG/bJNupqBf7Hx6IIMMrSE1yi3nABEXV2TtsAjoDKD3xJCJe5LatYKtDKPSku0NJFjNGZ3hoqsqMiM6SYKiq4HgFSO1UKVYr0sB/SXirQUGKvmCxQpkSkAlkSK2jX4JFWN0S6Pqulq8VJpSOHGFbDSOo5Zk8cV+Rn6hzXfW/zYp05jdCsffaKMSDceQx7DYAyYGjIVE71ENFmqQbQI4DIciZ1cV2SNlvvrnDKI6bCwKEtOC7pPzZ8mGXL6WYl/945bj6ORZzbtw47oLkOwIx4wtcMXAw2MKTfqiEkZIaiEezPtlHKtYEPkt6lsCDuAAiZHG8na1aMJ1zr86rOSMuA76sJBCwohnaReQr1qvfJitHEhhfBKq3Uii4pxvjX49dCfxwipjkUbwInFUsVICnwHecyz26mdKR97cqC0gcIJ0GeA9AJcsHBHQL6WzgmRhc21ToaKuz6ieNk5I+TtJox0BfdFIys0eF3xPMIzQ5o7vw2Zr4aCSP1yJNSrYkRnVpSWc1DmRYvgqwGitNZRSEUURtK40hyV7BJ/3PIEloOGg9ppwfYOqAldpJCWgSGnOuC4YhhkBtj5DO4RrITu963+X74g31A5DeqdyKwVaZKpMSa0+HpKT6l7anMnZd3qv8wmT+/F7+pMzx9I5xw3l145jB1VkqB6gFvjl4yvpnidW0f/9bzUt0RWjlqzQKtjwbOHqrcVOlp6Dm7xu1YM/c0xoI7Caw1hfwJQ1yKp/cGah2mPhfflcN8M7Y84gvr5B+XD6bO19QZHP34zPXyYea3SdK7gQnHGDftHYcaikgdQOFSYlp/GXiatAXEnA0Q+mKtiQ3fDP+qZ1qpu9WsgfrbXXS2j1sQaRxj+jrJ5PVaibQ/1+39Fyw4xjlATYYcGZ+QlaZv6j7w/xxZtvzAgMvK0HBv7mYjkFVVEJsBG8ql7gSlNqwOqtqmAXuRMa9A8HAoYgADNhjUVIGPOday0pHLBgAdoeM9jrK/m19YmBRjJxT4D+a/QMrtEDtEXTtOpAsPRpoB4I3uisfpZu6P1sUAB9osvCz54/uEXnYqAks2gZCWc8TXPXelR9ISfEQhjJI5OuQmqJAbrzOoyekFgwApgg+rA9+Xv5c+NFIMzpvlinuebOHV/vvgyQmMXCFInavOLa+sVn4f4GPZ+ofNTLw4Pz+zAq2EXVWiVEVTurSgwfAh7dY09kAyhcO1AdjbSCJRKcMFmr7qsKO2SV3RV1fcb1unFCqr4HO8sYH4rFO0YPtRdKiq4F2JGtYPtPmyirctFhJBkQYLdgcOb/vqGYUuvw0JGC5mXXJnsCmfXxT2pcIj93oyKNqoSj8hwJDw/065t0rxJUfuvvEa0nJzgA9WjKy0OVVuNahl7wbP0eUKgXQIxzP9DjILj2IjlprZep+4GkDda+uDc3Z7SJa9O5xw/lv4EJmgLrE/TMGxVsBM5BuHO7D27gz9YB4/k65g+/V1VOvoer4ldbUWo2PLYaHRnypBI/GiuFNuwu5HtSaqLNUFWA848fxtMDoD598fPdxntjeLbE4KiuzhM1CRGTiCN7qeRw/s6TKsOJhYwaxdXYVEadxHB7hDlNa/NIOzTArvAaIw0iPYuySUbZYqWcMm3R19KsTaAWcDAnQeUEN4DRg6SCHS4YR5GSaGOZOIwzTKjcBSkrUhd/T3w6B6z+QUakQC+wGrWTU+atl3Xrz+111vHsZ3CsVsseq78PRB/dgA2yN0PCFZLbqnazLNOl2shYtyQvjBRGdZSD3aamUyyFU/3XqKLorFJ9lD2SQl5EqKoZnjOU6rBahDXuv4ZU/c1v99L7yw8YUv7GvPj5Lj6v0ffYOKAMhKrGYlyfqji3ZbSPUkeoZKoagzW4T0qrgcZgvT8b5wLMi8xp+jzqEq36ElSA7bfvAByZsQjEIrzx+4HErBq9BAdmc7Zm2uXJ2+vXT6vtA1WpCdbEB4lMXJEra1za3HjVnlFR0KCqgmPrs9VaQmThtP6dslUHrxmyZVQJrztrHHVnjAAbrWvqOo+kCVcx9YRdYgZ9r0tnUY1uT9DDj+AKQWKtpaGEva349xn7B7hqtFJLINhU5zcSaC1h7TuGP7tzttT7K6jEnT7LGc7wrZmrhQKCf5UU23W4NKTkhOGlkpBKOUWaPLx/r6QGSdYjVbq/ha5gCYQyWLRl9GoyBxwop2644wcadahAIvPeK6eyozeq+2jxwP0Cr8uc0Y/VRZhlHYzs2X1gHX+2Dp7W5HfKFR7HHNobIgGu0+iJhpKuklqv+reGCs7V/sS8eHDClH4NDc3MJrr6tFGccEUrEAJx/rneay4ScaHT4r/oevu7/ezWiAvaqIH1gR3mO6JPEv2DOMDRNwfjATBWD75R6UJFDiefusAq+VpnQWUssUiMtpO4v3Ml3/D9KifNAQdk/5nXl580ol0CnFgFx/HZ87SM+6erD/OxGazRmVpoF7sT+f8w+kcZckUSZSx1ML/KMDpT2+bWTVXgLnqk3NugSt1SAglBgzsuLaSAjBdK+ms+UmNr1/FwKvEEaac6L/0r2HwTd9WyGYpyocb2qkUNejlDDX5UUI9+svq54SEs2JIzeRs+/v4gz8T97bNr2S0XAfa9T35PD76ygW7+x1L61dOr6b1l++npj7azwREW2D9ZPDao8xrXVASaUBNg9Jr2/KURMLTU3mOMjwEYhdUakF9je3x6Bc7SY3ADF9vmQCuGEWD31gJsBBgfrTxIT3+8w1hQBVI6DdL7XBFgW3rrAfaxnQ0q2HCf36cvJoM1UcIisZd+rnDVST+mYMTmL3fduLuQ74dINAWTEOkoECiizxWvqzuDcxrHEYySoMJRi3itiqn5Juws8rH/AQKbScPbd32CAEEFd3mOuDZXAJtbb8CUL9QAV92HIJ1vCeugyUaAzSo9vLcuBK4mXkNCco159hRk9TxYlDIDxYdQ1DyB1mED9PF1xmzzYnerniXeci0pY8usV4z4K3HURB3MPW8NKDvhOQBFwxT9mrVxTxGPa+PZ41zFblkm7ik9qrXemC3GPvHHKIBFqHrd2Ceo0Bnf9oSvXzITCWqoYpvzUklLjqOTZ2jO6u8s3c+FPuXmLhXsDuLYsWP0yCOP0L333ksvv/wyOZ2tm9h0J3wuh2ZAA7mlNc3IIF156sgGCx4sCtX4GywisTCCSgOSPCVjxMnn38+EG9iQPpGt+LWV/vpCHidzJEyDgnOhzuDxEkBliZsD7/n/O3Ms98zcfN6ETpeg6IpAroVAG7ImtDgEa3SmFtqHq23GvotGBWuw7j578BiOyYbbpgJsBJ0HdROnljwN0M6hJN2l3pTQ5FMIYHmhRLSvRDv3m3OVjjSD9PfgaHG1Eez6J74wGxSY07ONmbEIuiCDxDkzJ4zgBwlD5c5fbU5pVSJobIvfomDVtnxOSqICgYUBJLpYNEH+BwdXyJthpPXBioO0Ql+AXXjisKBciwGCcLW/8/T+wbZcr1QVBmOBYAymxvi01n+tUCOq1u0qILMu9/YUtrwQxMgZNjiz2smcNYCTEo+/t5UXSWo/NLcoRWUdIKnLlTOThRe6Sp6K8wLVDJ/epxmKHHWC/lqg2DIC7PK8Bvt3pV7phCFSZ2p1Epo/X5RDPGb1qvuwr6LAuBev2lFsmOh1xD5FcAUOVljbHKD4ox7Hl5hJ2/VWvokhJBDUNXi/fp9pDnarhsmYq5Y8hQcavLeQKW/eV8QJDiSjI3n/UL3kG/cUki9BmdQGIRFX1fWUHrzuAwP016qc33EfUaZzzSU8jAp2ZoApCDvyjTGRrbXaNGaKbnyHABvXRsNJvLDlxKV7/1r+bOk3jkxxTQs3e3KjM8VHjSk9Um037kfBGF0GQrW/YS3+7cZcI0ma0cx1/LSZA/l+AR+QL9fl8Egyfhz9GIwlOv3d5vDhw3TOOedQQUEBjR8/nl555RW6/vrrg+pt6C4YQYY9gVbvreTsIy60s8ZkN3shgPwbgQoMIi5oNGsTMjola0RGvbNVXwejl8eEMQMOdvZujwo2nCshC8UCXJnrtGaEcv2PxhuZTaHtVQOV+EHFU2U9W5IV+SeedhSZGziZRhrlXcCKkKSGqgp3ub6NSRlGH/jQPqnBLeBq4kO6+Rj9bHFJtK/Q0a4Btv+InRJlQOi3fzB7FajsPlA35Bmjexou5OGazClJfHASce1voBB46zttnMjCqf3okZvn083nT6T7r5xGd186hUdu/fKyKXTVqaM4QEMQeeclk+nUmaE5PBvSzQpL2yV5alRWel+W12uLwjjjmGmNGfp9AaaBvgx9IVhypEX3dU++Nl7F0msY926j0qPUT5g/fMv5E5uVsaoWIySf6nx2o//ek7tdex3JWUYP/tRRoV0vVbV7/e5C8ibrC7WSXGP/OuypRoV/zrjOW70WmpGJV9UHAOoaaErtacinp4+KjPFTqKjk2s4iLVnrqy0PaZRic6hEKvqJEeBCcdXS6LDmDNgO51XyeqU5eJxUH21MIhJdHt3A0JyWzc/74QotMETSM5iRicEyemAGJ4+RtNxdbA44cSMQat9XWTI48YmxZUqZpZKXR4tqjJ7i5hIe3vJjASvYqF5//L3eRjK1X8hzvscOyWTjUoy+Yu+AXsP4554C7d7SWoBtGzqjye8wsu+obsza0oi2cFDrj6247JosPC4tHFUVK+Z0VYArPssYEYf3sDngWYIENYBSrMKcVm9ay5M9YofOFTkF4J///CdNmzaN/vznP9Pll19Ozz//PG3YsIG+/fbbjt60ToOvqt7gTPU1zBmXHbBSN2tcNjv1IusLwwHMbW0sP8FC6XfXzqQ//L9ZdNyk1qUy7Q0qmUoeVOhMCGimFCnUhVoZaOBm599XIrQfC/RjEce4I07PVLcQYBvzduNTadNhzQRvbIiZ6VAMXBAgoq+1RA/06ivY2jlZYUphgw9UXJsb0dU4KNlWZA3p5qN6FH3x6dqcVl4Mto+HAq436lqyqyKhSW+vR8/mowKqzMJQNQDKgDEcjKpNmSV4yaH+N2tzXFy5RkvHxQuHG0G+SVf7nDilH/fHYvsgCb/6tNEhVzf8F+Sbj/lCGifWGFQZVIBdl6C1A4GFU/sHvSjELGAcg1iA7ywykykumV3JW+rDVnNaLdnDeb+9sUSTi6MHEbO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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plot_road_loads()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.14.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/content/bev_thrml_cs_ca.ipynb b/docs/content/bev_thrml_cs_ca.ipynb new file mode 100644 index 000000000..d175a3912 --- /dev/null +++ b/docs/content/bev_thrml_cs_ca.ipynb @@ -0,0 +1,253 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "cell-0", + "metadata": {}, + "source": [ + "# BEV Thermal Demo: Cold Start, Cold Ambient\n", + "\n", + "This demo simulates a Battery Electric Vehicle (BEV) with thermal modeling under\n", + "cold start and cold ambient conditions, where the cabin and battery begin\n", + "at the same temperature as the surrounding air." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "cell-1", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "import sys\n", + "from pathlib import Path\n", + "\n", + "import seaborn as sns\n", + "\n", + "sys.path.insert(0, str(next(p / \"demo_scripts\" for p in (Path.cwd(), *Path.cwd().parents) if (p / \"demo_scripts\").is_dir())))\n", + "\n", + "import fastsim as fsim\n", + "from plot_utils import (\n", + " plot_bev_hvac_pwr,\n", + " plot_bev_res_energy,\n", + " plot_bev_res_pwr,\n", + " plot_bev_temperatures,\n", + " plot_road_loads,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "cell-2", + "metadata": {}, + "outputs": [], + "source": [ + "sns.set_theme()\n", + "\n", + "SHOW_PLOTS = os.environ.get(\"SHOW_PLOTS\", \"true\").lower() == \"true\"\n", + "SAVE_FIGS = os.environ.get(\"SAVE_FIGS\", \"false\").lower() == \"true\"" + ] + }, + { + "cell_type": "markdown", + "id": "cell-3", + "metadata": {}, + "source": [ + "## Setup and Simulation\n", + "\n", + "Load a thermal BEV, set cold initial temperatures for the cabin and\n", + "battery to match the cold ambient, and run the simulation." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "cell-4", + "metadata": {}, + "outputs": [], + "source": [ + "celsius_to_kelvin = 273.15\n", + "temp_amb_and_init = -6.7 + celsius_to_kelvin\n", + "\n", + "# load 2020 Chevrolet Bolt BEV with thermal model\n", + "veh = fsim.Vehicle.from_resource(\"2020 Chevrolet Bolt EV thrml.yaml\")\n", + "\n", + "veh_dict = veh.to_pydict()\n", + "veh_dict[\"cabin\"][\"LumpedCabin\"][\"state\"][\"temperature_kelvin\"] = temp_amb_and_init\n", + "veh_dict[\"pt_type\"][\"BEV\"][\"res\"][\"thrml\"][\"RESLumpedThermal\"][\"state\"][\"temperature_kelvin\"] = (\n", + " temp_amb_and_init\n", + ")\n", + "veh = fsim.Vehicle.from_pydict(veh_dict)\n", + "\n", + "veh.set_save_interval(1)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "cell-5", + "metadata": {}, + "outputs": [], + "source": [ + "# load cycle and set ambient temperature\n", + "cyc_dict = fsim.Cycle.from_resource(\"udds.csv\").to_pydict()\n", + "cyc_dict[\"temp_amb_air_kelvin\"] = [temp_amb_and_init] * len(cyc_dict[\"time_seconds\"])\n", + "cyc = fsim.Cycle.from_pydict(cyc_dict)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "cell-6", + "metadata": {}, + "outputs": [], + "source": [ + "sd = fsim.SimDrive(veh, cyc)\n", + "sd.walk()\n", + "\n", + "df = sd.to_dataframe()\n", + "sd_dict = sd.to_pydict(flatten=True)" + ] + }, + { + "cell_type": "markdown", + "id": "cell-7", + "metadata": {}, + "source": [ + "## Visualize Results\n", + "\n", + "Battery power, energy, component temperatures, Heating, Ventilation, and\n", + "Air Conditioning (HVAC) power demand, and road loads under cold start,\n", + "cold ambient conditions." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "cell-8", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig_res_pwr, ax_res_pwr = plot_bev_res_pwr(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "cell-9", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig_res_energy, ax_res_energy = plot_bev_res_energy(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "cell-10", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig_temps, ax_temps = plot_bev_temperatures(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "cell-11", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig_hvac, ax_hvac = plot_bev_hvac_pwr(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "cell-12", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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n7KQIp/5vZkI4xYQGUlltowiwB6e5Vsr9l/E96YSsGhqcZsmA94pHUA0AAAAAvgHBNYDJDO8eQ+9cNEKMxeJxBNdM7OX0/+WO4cPTY2hbXgU1NVsGBK4+UEJrc0rplAHJ1Duh8yB9TM848QYAAAAA2uBrQNDmNkNwDWBScs6fq26emklp0aEUHOhP/9ucS4/8uFP8++oDpSJod0Vjcwt9/Mch0dTspimZFBKINg8AAAAAaggICBDv6+vrKDjYskUPnMO3GQsI8Cw8RnANYDIyY+2uDGsp9+GyGnp8oSWwZltyK+hoea0IvB3JKamhjUfKRCm5LAcP8OPO5QeorrGZzhvRjbpbG50BAAAAgLL8/QMoLCySKitLxOccYHtyTWhUzc1+1NTU4vR1MwfWfJvxbefv71kiCME1gMk6hZ/w4gqKDQuity8cTnHhwW7/rPlb8oifl0akW/Zdrz9cTusPlVHaQMfB9fJ9xfTM4j00tU8CPT1nkPg3fkLnpmoHS2pEszME1wAAAADqiY62jF6VAbYv8vf3p+bmZpf+DwfW8rbzBIJrABMprm6gqvomqq5voqjQII9+1sr9liflUwam0PD0aIoODaLEiI6D9e3W8V2y47iUHBlsCa4r6j06HgAAAADoHCc2YmISKCoqjpqaGn3u5goI4L8/nMrKqp3OXnMpuKcZawnBNYCJFFhHYcVHBFOgv2dlQH89vg+tOlBKpw9KoSAnRnJtz6sU7/sntw2uE6wBOY8HAwAAAAD1cbDo7+9+BaNRBQb6U2hoKNXUNFFjY7P3f7/XfyMAqKagst6WLfbUoLRo8eaMmoYm2l9cLT4e0C5zjeAaAAAAAHwBWvcCmDBz3Vn5trt+2JZPN3+xSezFbm9nfiXx5C7+vYmRbbtTymMpROYaAAAAAEwMwTWAGTPXUcqPXzhYUk0rD5TQ7/uLj/najnxrSXi7rDVD5hoAAAAAfAHKwgFMmLlOUqAsvL2R3WM5xKZ1h8qOGfe1rYP91mxir3j64OKRlBTle/t+AAAAAMB3ILgGMBGeQT0oNYp6xlnmTCtpcFoUBQX4iez44bLaNmO1bpqSSdOzE6l7zLFzrGPDg8QbAAAAAICZIbgGMJGrJmSINzWEBgVQVlIkbc2tEJ3B7YNrLv2e3DtBld8LAAAAAGAE2HMNAE7rERsq3j/1y25q4g5mTvpg7SF6ZvEeKq1uwK0NAAAAAKaE4BrAJJpbWlwKeN3RJzFCvC+ubqCj5bXid36+4Qi9snwf7S6s6vD/ffzHIfp43WE6WlGr6vEBAAAAAGgFZeEAJrErv4ou/2i92HP9xgXDVfkdF4xMp5LqBkqNDqFLPlhHl4/tSfM2HqGj5XXULyWK+lqD7/a4bDy/sp6KMI4LAAAAAEwKmWsAk8gpraHG5hZSM3fN+67vOL4PhQb6U2VdE724bJ8IrMOC/Glir7gO/58cx1VoHRUGAAAAAGA2CK4BTBRc2++LVtPsIWnUM661odmZQ9NE4N2RhHBLcP3Yol20dE+R6scHAAAAAOBtCK4BTGJfUbV438Mu6FVLgL8fXWPtSt49NpQuH9uj0+/vndg6GuyFpXtVPz4AAAAAAG/DnmsAk+DxWKxfcqRXft/JA5IpKSqYshIjKSq086eSucO7UVx4ED20YIcIzGsbmjrNdAMAAAAAGA2CawATqGloov3Flsx1/5Qor/3ekd1jnfq+oAB/OnVACk3KjKfo0CDVjwsAAAAAwNtQFg5gAltzK0Qjs+TIYEq0Ng/TIwTWAAAAAGBWyFwDmEB4cACd3D+J4qyNwwAAAAAAwLsQXAOYwICUKHp05gDSu193FdJ7a3JoSLdouv24PlofDgAAAACAYhBcA4DXVDc00aajFRSCZmYAAAAAYDLYcw1gcNx5+0BxNTU1865rfZP7wXNKaqiwsk7rwwEAAAAAUAyCawCD25pXQee8vZbOe2ct6V1SZIh4n1dRR6e+top+21us9SEBAAAAACgCwTWAwe0usIzg6hEXRnqXER9GQ9JaR4W9tHyfpscDAAAAAKAUBNcABrc9r0K8z06OJL3z9/OjF84ZQrcf11t8HuDnRw1NzVofFgAAAACAx9DQDMDgtudXivcDDBBcs4jgQLpwVHc6Y3AqRYbgKQgAAAAAzAGZawADq65vor2FVeLj/inGCK4lGViXVjfQL7sK6XBZjdaHBAAAAADgNgTXAAb255EyamohSosOodToUDKiRxbupHv+t5V+2Vmo9aEAAAAAALgNwTWAga0/VCbej+weQ0Ylj32d9W8BAAAAADAibHgEMLAJveIp0N+fBndr7cBtNEO7RYv3W3MrqKWlhfz8/LQ+JAAAAAAAlyG4BjCw4d1jxJuRZSVFUIAfUXF1AxVU1lNylGUWNgAAAACAkaAsHAA0FRoUQJkJEW06nwMAAAAAGA2CawCDKqyqp+V7i+hoeS0ZXT9rp3M5sxsAAAAAwGgQXAMY1JqDJXT7V1vo4QXbyejkjO5techcAwAAAIAxYc81gEHtK6oW73snWkqqjWxS73iKDgukQamW5mYAAAAAAEaD4BrAoPYWWoLrzPhwMrrusWHiDQAAAADAqFAWDmBQuwosJdS9E40fXAMAAAAAGB2CawAda2hqpm8359KCrXliBrRUVtNAR8rrxMf9k40749reqv0l9Mm6w5RTUqP1oQAAAAAAuAxl4QA69tOOAvrnjzvFx03NLXT64NQ2I6u6x4ZSVKg5HsbvrsmhNQdLKTo0kHrEoUQcAAAAAIwFmWsAHdtVUGX7+KXl++lImWXs1i87C8X7od3M0wAsOSpEvM+rsGTkAQAAAACMBME1gI7Zl0gXVdXTg/O3iY/vOL4P3XVCH7p4dHcyi+TIYPG+oLJe60MBAAAAAHCZOepJAUzqtEEplB4TSj3jwuiRH3dSQoQlAA0J9KdzR6STmcSHW/62kmoE1wAAAABgPAiuAXTs+KxEmpIZLz5ubGqmmoZmMqv48CDxvri6QetDAQAAAABwGYJrAIM4a1g3MrPWzDWCawAAAAAwHuy5BtCp0up6WpdTSrnlliZmZhdny1yjLBwAAAAAjAeZawCdWrO/hK7+aAMNTI2idy8aQWbHe8ufOmMgxVv3lQMAAAAAGAmCawCdOlJq6RSeYh1RZXahQQF0XFai1ocBAAAAAOAWlIUD6Dy4TvWR4BoAAAAAwMgQXAPo1JEyy17r1GjfCa5/319Mn6w7TAft5nsDAAAAABiB4crCa2trKTQ0tMOvV1dXU3h4uFePCUANvpi5/mDNIVp9sJSiQwPFbG8AAAAAAKMwROa6srKSHnzwQRoxYgSNGzeOjjvuOPriiy/afM/rr79Oo0ePprFjx9Kpp55Ka9eu1ex4ARTdcx3d8WKSWTuGYxwXAAAAABiNIYLrRx55hLZs2ULz58+nDRs2iED7oYceoiVLloiv/+9//6M33niD3nnnHVq/fj3NnDmTrrvuOiouLtb60AHc0tjcTHnWEVy+0tDMftZ1MWZdAwAAAIDB6D64bmxspNWrV9MNN9xA3bp1Iz8/P5oxYwZNnTpVBNvs3XffpXPPPZcGDx5MQUFBdOONN1JsbCx9/fXXWh8+gFuam4kemTOY/jKhJ8Vbs7m+lbnGrGsAAAAAMBbdB9eBgYG0ePFiOvHEE9v8e3NzM9XU1Ig92Nu2baNhw4bZvsYBOH++bt06DY4YwHPBgf500bgMumlqb/L38/OZm1QuJJTUNGh9KAAAAAAA5m5oxg4cOEArVqygf/7zn1RUVERNTU2UlJTU5nvi4+NFCbm7AgP1ve4QEODf5j2Yi6+e30RrCTwH13p/DHrCV8+vr8D5NTecX3PD+TU3nF/zC9D4GstwwTVnq2+//XYaNWoUzZ49m/bv3y/+ncvB7fHn9fXulZb6+/tRXFwEGUF0NDoqmxHvt96xv5hSo0OpR7wx7otKyEixPGZLaxoN8xj0BB6/5obza244v+aG82tuOL/mF61RjGSo4JpLwHnvdUBAAL300kvivRzL1T6Q5s/dHcnV3NxC5eXVpGe8GsN3mvLyGmpqatb6cEBh/9twhB77cSdNz06i/5w5yGdu34Rgf3r2rMGUFBlMJSVVZFZ4/Jobzq+54fyaG86vueH8ml+ASjES/0xnsuGGCa6rqqro+uuvFx+//fbbFBkZKT5OSUkRWer8/Pw238+fcwM0dzU2GiNg5TuNUY4VnFdm3XMcGRLgU+c3LMCfJmfGi4994e/G49fccH7NDefX3HB+zQ3n1/yaNIqRDLHhr6Kigq688kqKjo4WI7dkYC0bnvH8a+4oLjU0NIhmZmPGjNHoiAE8U1HbKN5HhRpm/QsAAAAAwKfp/sqdu4JzxppLwh9++GGqrKy0fY0z1lFRUXTVVVfRTTfdRAMGDBCB9quvvkrBwcFiTzaAEVXUWYLraB8MrpftKaJDZbV0XN8ESou2bPsAAAAAANA73V+5b9y4kXbt2iU+njVrVpuvjRw5kl555RWaNm0a/etf/6I333yTXnjhBTHv+p133qGwMDT7AmMql5nrEN0/RBX31qqDtPloBaVFhSC4BgAAAADD0P2VO2eiV61a1eX3ceDdPvgGMHpZeHRo2y74viA+PFi8L8asawAAAAAwEEPsuQbwNeV1DT675zou3LKgUFLt3ig9AAAAAAAt+N6VO4ABXDiqOxXXNVPvBPfGyRlZvDW4Lq6yLDAAAAAAABgBgmsAHZo1OJXi4iLErGdfGEllL06WhVcjuAYAAAAA40BZOADoSnyYtSy8BmXhAAAAAGAcyFwD6ExDUzNtyi2n9LpmSgr2I1/dc43MNQAAAAAYCYJrAJ0pqqqnKz/cQMGB/rTqr1OJqIV8SXZyJD09ZxAlRVrKwwEAAAAAjADBNYBOZ1z74hguFhsWRFP7JGh9GAAAAAAALsGeawCdqaizBNcxYVj7AgAAAAAwCgTXADpTITPX1sZevujXXYX08brDVFBZp/WhAAAAAAA4BakxAN1mrn03uH7lt/20t6iaeseHU1JkiNaHAwAAAADQJWSuAXQaXPvqnmsWH2GddY1xXAAAAABgEAiuAXRaFu7LmWvbrOvqBq0PBQAAAADAKSgLB9CZ0T1jKTDQn8b1TSJfz1wXVSG4BgAAAABjQHANoDOjesTSuMx4iouLoJKSKvJFcdbMdSnKwgEAAADAIFAWDgC6ExuOsnAAAAAAMBZkrgF0ZldBJQUF+tPgiFDyVa2Za5SFAwAAAIAxILgG0JkH528XY6g+vGocDUwII180pFs0PT1nEKVEYQwXAAAAABgDgmsAncGca6LEiGCa2idB61MBAAAAAOA07LkG0OkoLl+ecw0AAAAAYDQIrgF0pK6xmWobm8XHMdamXr5q4fZ8+uiPQ1Rei33XAAAAAKB/KAsH0JGS6nrxPtDfj6JDA6m01vK5L3p68R4qrm6g0T1ikcUHAAAAAN1D5hpAR2R3bB5F5efnR74sMsSy9ldZbymTBwAAAADQMwTXADpSYg2u5SgqX2YLruuatD4UAAAAAIAuoSwcQEe6RYfStRMzROba10UGB4j3VchcAwAAAIABILgG0JGM+HC6akIGBQaiqCQCmWsAAAAAMBBcwQOArjPXlXXYcw0AAAAA+ofMNYCOHCqtEaO40mNDKY58G/ZcAwAAAICRILgG0JFXlu+nhTsK6M4T+tBNabHky84YnEpjM2IpIy5c60MBAAAAAOgSgmsAHalusHTGDg/GQ7NvUoR4AwAAAAAwAkWv4Ddv3ky1tbVu/d8hQ4ZQSEiIkocDYDjV9TK4tuw3BgAAAAAAHwyub7/9djp48KBb/3fhwoWUkZGh5OEAGA6C61YFlXW06kAJhQYG0Ix+SRqeFQAAAACArilee/rkk09ScnKyS//nnnvuUfowAAxeFo7M9d7CavrHDzupT2I4gmsAAAAA8L3gesSIES5noENDQ5U+DABDZ64jEFxTZIgcxWW5TQAAAAAAfCa4/uqrryg8PNxr/w/AbGqQubaJCLE8PVXVY841AAAAAPhYcB0ZGdnm8+bmZmppaaGAAEsG6s8//6RNmzbRmDFjKDs7u8P/B+CrLhrdnarqmiguLIh8nZxzzbdHc0sL+fv5aX1IAAAAAAAdUm3ez+HDh+myyy6jN998U5SJL1myhK677joRcHOw/fzzz9OMGTPU+vUAhnT1BMuWisBAf/J1kdbS+BZrubwMtgEAAAAA9Ei1K/g33niDkpKSKCEhQXz+9ttv04ABA0RX8BtuuEE0PgMA6EhIoD8F+luy1ZV1KA0HAAAAAB8Nrjdu3Eh//etfRcl3VVUVrV27li699FKRxb7xxhuppKSEiouL1fr1AIZT29BEewqrKK+iTutD0QU/Pz9btrrS2ugNAAAAAECvVKuzrK+vp5iYGPHx77//To2NjTRlyhTbRXNERAQ1NDSo9esBDGdvUTVd9uF6So4Mph9vnKj14ejCgydlib3WqVEhWh8KAAAAAIA2wXWPHj1oxYoVlJWVRZ9++ikNHDjQViJeUFAgMtfx8fFq/XoAwymptiw2xaKZmc20vonanRAAAAAAAD2UhZ9//vn073//myZNmkRLly6lCy64wPa1u+66iyZPnkxBQeiIDCAVVdeL9/ERwbhRAAAAAAAMRrXM9bRp0+iVV16hn3/+mUaMGEFz5syxfa1Pnz50/fXXq/WrAQypuMoSXCeEY9FJ2nK0nPYX11C/lEjqmxih4dkBAAAAAPBicL1z507q27cv+ftbEuJTp04Vb+397W9/U/LXAphCsbUsPD4cmWvp841Haf6WPLppSqbug+um5hYKsHY3BwAAAADfo2hZOHcHnzhxIt199920YMECKi8vV/LHA5haMcrCO5x1rfdRXGU1DfSXjzfQ+kNlWh8KAAAAAJghuP7yyy/p2Wefpbi4OHruuedowoQJdPHFF9Prr79Ou3btUvJXAZhOkS1zjbJwyTaKS+fB9eu/H6AtuRW0aEcBGVl9YzMdKq2hxxftpH/8sIOaW1q0PiQAAAAA3ywL5wZlHFDz23333UcHDhygxYsX05IlS0SwnZycLPZiH3fccTRu3DgKDQ1V8tcDGNr0rETqnxxJ/ZIjtT4U3YiQmWsdzbn++s+jtOmopSqnvLaR7pmRRSO7x9Cn64/QukOlZGQPzN9Gv+4uEh8/efoAend1jtiucMW4HtiuAAAAAKBVQzOWkZFBl19+uXirrKwUo7l+/fVXeuCBB6iiooJ++OEHSktLU/MQAAzjnOHdtD4E3Wauq3SSuS6orKPHFrWtwjlQXEPPnz1YfLynsJpqG5ooNMiyKGAkvGdcBtZs09EK+mDtIfFxcIA/3Tw1U8OjAwAAAPDx4NpeZGQknXTSSeKtpaWFNm/eTFFRUd769QBg5LJwnWSut+ZWivcpUSF0zjDLwuDw9BjxeWigP9U2NlNBZT31iAsjo8kpqbF9/MElI+mPnNYsvP3HAAAAAKBBcL1w4UL67bffqKSkxOHXuWs4B90AQHSwpIYC/f0oOTKYAgNVG0FvKJEh+mpotiO/Qrwf3TOWLh/Xs83XkqNCxDksqKozZHC9zfq3De0WLbYm8NvoHrF00fvraHteBW06Uk5DukW3+T878ipp3eEyOm9EN/L3Q6d0AAAA8G2qBdfvvfcePfbYY6LsOyYmxuH3NDbq44IZQA8u/WAdVdU30bwrx1DvJK8VlehaVlIk/fO0fpQYoY/xZLsKqsR7R/vi+RhFcF1hmVduNNvzLFl53vcvZSdH0sTMOFqxr4RunrdJZLS7x1oWDrgC6eIP1omPQwL86Kxh2NYAAAAAvk21K/j58+fTTTfdRDfffLNavwLAVLikmIUga90mYD11QArpxVnD0mhQahSN7nHsgmFSpGUBIL+yjowoKymCpvSOp1Ht/rYnTh9IN3z+J20+WkFf/XmUbp7aW/w7d0eXFu0sRHANAAAAPk+14Lquro6mT5/u8zcwgDMam1tEQymG4Fq/JvSKF2+O3DatN/31+D4UE2bMUWqzBqWKt/bCggLo3ulZdKCkmqZnJ4l/45Fj93+3zfY9fx4uo9LqBorFGDkAAADwYaoF15MmTaKffvqJBg4cqNavADCNusbWhl3cGAvIVnq8fG8xldU20IzsJE26cPPCx51fbxEfPzqzv63JWnuJkSFkVv1SIsWb9O3mXPE+Mz6cpvVNoDMGpyKwBgAAAJ+nWnB9/fXX05lnnkmbNm2iwYMHU1jYsQ1+zj//fIqObtsgB8AX1VlLwlkwgmsbPz8/kSHlknnuyi33+3rTupxS+m1fsfj4wvf+oOfOGkKZCeFkJkfLa6m5pYUSI0Kcqpz428nZ9P3WfDp9cArFhbfuh29osnRL7xYTqvIRAwAAAPhQcM0zrA8ePCjeli5d6vB7Tj75ZATXAHbBdXCAH7out8Nl1rUVdVRW0+D14JoDzvets57Z0fI6+uePO+jtC0cc8735FXX03pockem+d0YWGcmzv+6lxbsK6e7pfWmuE/PWkyJD6NKxPdr825aj5XTfd9soKMCf3rpguGHL4wEAAAB0F1x/8cUXNGfOHLr11lspISHB4fcEB7veAZg7jOfl5VF6enqbfz9w4MAx3ccTExM77FQOoCd1DbKZmffLnvUuJjSQ8ji4rvX+dIHDpbViLzyPR8uvtHQBP3OoZb51exxUf7r+iFgguWd6X5F1N4rSasvfFudBQJweG0Y1Dc1iAYIbn7UfVQZgZo1NzbSjoEp02w/wN85jHwAADBJcV1ZW0hVXXEHduik7nuWFF16gZcuW0Zdfftmmedqpp54qfldgYOufdN1114kAH8AI85wvGJlOQQG4KGtPZkB537W38bzql+cOFRfOm45W0N6iKpo1yHH3cjkurL6pRSwExBooc1tSY7lt4zxoSMZ/71lDU+mtVTl0uKxWwaMD0L+3V+fQf1ccoOOzEumJ0wegAgkAwEepFlz369ePtmzZQv3791essdErr7xCr776Kg0aNKjN1/bs2UNNTU309ddfU2TksfNnAfSOm2HdcXwfrQ9Dl2JCrcF1jfcz11JggD+N6B4j3jrCe+U5wCytaRAl4oYKrqstwbWnx5wSbdlrXVhlzFnfAO5en8zbeFR8zNsrHvlxJz1wYpZ43gAAAN+iWnB92WWXicwxl3APGzaMwsPDjymT5E7izpSGl5WV0bXXXkv79u2jsWPHUlVVVZuv79y5k1JTUxFYA5hQTJjlaYr3XHsb77n2d6G8mxt5cXB9qLSGspONsdDH5eyy5N6TzLV99r4IwTX4EK5WOXNIKr2x8qD4/LsteeL9w6f00/jIAADANMH1X//6VyoqKqLnnnuuw+9ZuHAhZWRkdPmzysvLRcfxl156id5++21asWJFm6/v2rWL+vbtK/ZcFxQUUFJSUpvycAC9q2loovLaRgoPCqCoUNx3HZWF8+3jbbd/tZm251XS/Sdm0bS+iV1+P3cR35rL5ePVdAIZg1y08LOrEnBXUqQluOaO4QC+gjvsXzupl2jy9/Qve+ibzbk0f0se3Ti5l6lH9AEAwLFUu4p/8sknqba28313KSmO9y6216NHD3rwwQc7/DoH15zVnj59OjU3N1NpaanY733bbbeRv797ZVmBOh+HFGAtN5PvwdhW7i6ku7/ZKsqO37poBM6vnRP7J1HvxHDqmxjh9cclN1Irrm6giJBAp353VlKEeL+vuLrT79fT47eivtFWIRASHKBIWXhxdT35+fv5bGMnPZ1f8N75jQr0p7/P7E97i6tp05FyWrq3mM4d2bb5KugfHr/mhvNrfgEavwYHKt3EjMu/OaAdOXKkW//PHZyxHjduHD388MMUGhpKa9eupauuuopiY2PpyiuvdPnn+fv7UVyc5SJZ76KjvT/3F5QXGGLJGEaGBbW57+H8Ek2Ii6AJGu2j5M7XLKt7nFPPCUMy4oloLx0qq3Pq+/VwfnsGBNAt07Oopr7R4+e9qOgwuuG4PiLIjo4J9/mZ7Xo4v6D++V27v5h6JoSLEXW8/e3Jc4YR7ybpmxwpRtOBMeHxa244v+YXrdFrsKLB9ZlnnklvvPGGU6XeSvw/6a233mrz+ejRo2n27Nn0zTffuBVcNze3UHl5NekZr8bwnaa8vIaamixjnMC4istqxHv/lhYqKanC+dUBzr5W1zeJculIv2ZxXroyJCmclt02mcKCAjr9fj09frmQ+4rRluyaM39jV64eZ5l/XVVRQ57/NGPS0/kFdc9vVW0DzX31d2ohokU3ThBl4GlhlgqQynLL8zoYCx6/5obza34BKr0G8890JhuueFn4xo0bKTc316X/01X5eGfq6+spJyeHunfvTiEhrXubeLZ2RUWF2z+3sdEYF0R8pzHKsULHOIhjwQH+bc4nzi9RVX0j/ZFTRvWNzTSjX5LX7kYHi6pt+4gDyM+pxxkH4qEB/tTS3CIahXUF59fccH7Nf35/2VEgAuuY0ECKCQls8zzBvTS4wWGadbsEGAsev+aG82t+TRrFSIoH13fddRd5u3STM9/33nsvXXjhhbZ/X716NQ0ZMsSrxwLgLg4cZWMcaKuwsp7++vUWiggO8GpwfbjUsuiXHmvu0t7dBVUUGOAnAgAl7n+Hy2rEOeMZ4fHhXU+DADAqvv54cP528XHPuLA2E1F4wZQbIkaGBNLTc9qODwUAAPNSNLh+9tln3c5C8ygtd3C2+vLLLxddyaOjo0Xzs3nz5tHWrVvp888/d+tnAnhbXaMlc43guuNu4VX1TdTQ1Oy1PYyHy2pt47VcybI/s3gP1TQ002Mz+x8zflCP/vrNFjpSVktvXjCchnaL9vjnPb5wF60+WEr/OLUfnTbQuaaVAEbEz0myPuXqiW23te3Mr6R1h8rE7HgOwo3wXAAAADoLrnlcltq43JtLwO1xV3AOqr/88ksx/isrK4s+++wz6tOnj+rHA6CEOmSuOxQVEijKrVus47gSrLOU1ZYcFUxjesbSwBTX5lX/b7Nlxu1DJ2dTaJBn3be9ocI64iw6RJmXg2jrKDn5cwHMiis0GFfVTOjFzQxbDUiNEt3yuSycpw6kojQcAMAnGG6gLo/Y4jd73GV87ty54g18z/pDZfT5hiN0y9RMw17ADEqNotlDUmlImueZQ7PhC1Se/c2BNV+oeiu4njUoVby5IjQwoM1+S70H180tLVRZZwmClZqvLn9OufXnAphVYZVlmkCig+ckrkLqnRBOuwqqaFtepWFfmwAAwOTBNYC9xqZmuv6zjdTUYsmUvXCOMffZn5CdJN7AMQ6oObgurKqnPokRul4I4ItqrkSobmiiONI3Dqxb2mWcPRVlHSuHzDWYXX1jC6VEhXTYsGxASqQIrrfnVdDxWYlePz4AAPA+BNdgaLy3kwNrtvJAiQgWuIEMmEtSRDDtK6q2lWF6I6PLTebcyTzzGC4Ornnftd7xggULDfRXbC97VIjlNqtA5hpMbmLvePrumnEdfr1fchQR5YnMNQAA+Aa0JgZDCw8KoOP6Jtg+35FvzIsYzvLxmzPjm3xRUpRlzF5+paUMU217C6tpyvO/0dlvrRHNiFwRHmR5Wq1tsDSp0zMZACuVtbb/Wchcg6/jzLVcBN5d6KtT3wEAfAuCazC04d1j6KnZg2wB9naDZgj+tmA7nfDSClqw1dIMC9qaPTiV/nlaPzrBS6WV2/IqbOXornb5ldluObvcCJlrpfZbs4jgQFvndABfNjA1Srw2zR3ejfzRLBwAwCcoWj979dVX09GjR53+/tdff53S0tKUPATwUf2SI+nX3UW0x6DZATmKi8tz4VgjusfwUC6v3TSyAkJmnlwtC2dGKAtPjQqhK8f3pBgFg+us5Ai6ZkKGmHMNYGYPfLuVckpqRTNNXuh11IPh32cMxBguAAAfomhw3atXL4qMtFyMNjc308KFCykmJoYmTZpESUlJVFZWRps2baJdu3bRiSeeSKGh6J4J7uNuzJx5S44MplmDUsTYJG91klYaRnHpC+/vZn3daJ72f2cOFhfV4cH67hTOMuLD6fpJvRT9mb0TIqj3RP02nQNQytbcCtpfXENNnWwdwXxrAADfomhw/cADD9g+fuutt6igoEBkpyMiWi+0eP/iq6++SosWLaK4OL330gU9+yOnlG7/agsNSYuity4cYehRJ7WYc9357dPQRGsOloo9wqcNTFH9fBwtrxXvu8W4fp+KDbd0ywYAc5MNFrta1C2qqqeFOwrEdItLxvTw0tEBAIAWVKtBnT9/Pt1+++1tAmu5invttdfSgQMHqKioSK1fDybU1NxCOSU1ts/3FFqyi0YOqo/NXOs/26kFrlC44+st9M8fdoj7gdqdwnMr6twOro2EL/oPFFdTWU2DYj+TAwjenrEl17JvHcCMqusbqdLaVyEpsvPgurSmgZ5ZvIfeWZ3jpaMDAADTBdecoa6vdzw2p6amhurq6iggAIEEOO/jdYfprLfW0AtL97VpXsb7rQ+V1oiv/7At35A3KcrCOxcfESwaAvHYtZLqetUDzoamFgrw44tmS5dyVyzaUUCPLdxJv+4qJL37ZN1hOufttfTGyoOK/cySmgY6/90/6MqP1rvcaR3AKPLLLQtwYUH+tiZ+HeFZ2HKRkLczAQCAeakWXI8bN44ef/xx2rNnT5t/52z1XXfdRYMHD6bY2Fi1fj0Y3MbDZTSjXfds3lfN3luTQ+W1DbQ935IZ658cSXuLqkVm4NP1h8nIwXUwGpo5FOjvZyu9zFd51jXHg7OHpNKMfkni97rqzyPl9PWmXENkbuWFvpKN9ORecy4wkPdrALPJs24dSXSiz0dkSCBFWB8X+daqGAAAMCdF91zbu+6662j58uU0c+ZMyszMpMTERCovL6d9+/aJpmfvv/++Wr8aTIBHU5XVNtLD3++w7bGNDQuibtEhdKS8jtbmlNGhUsvFTb+USNphzWIb9WJ+enaimAscq2DXZrPhi9iCynpRcswjbtSSHBVCD56U7fb/50wWM0KGSu71lx3OlWD/s6obmmyjyQDMRAbJiU5WtyRHhtC+4mrKr6wTjQQBAMCcVMtcc5fwefPm0d/+9jfRRZxLwRMSEsR+6++++4769Omj1q8GA1qyu5A+W3+YCivrRKfmo9aSOzkvV5aXDrAGVd9ssox842Cbg+6gQEuGsd6gwfW9M7LosVkDnL5Q80Vc/s+4hFnP5cYyuKw1wCgubhTHQq0LAkrw9/OzLTAYYdY3gLu9GVKjQygt2rnnbP5eJheFAQDAnFRNkwUHB9PcuXOpX79+lJ+fT9OmTRPjuOLj49X8tWBAH/1xmNYdKqOc0lqat/FIm71q763Ooe+25NGcIWkiwPp5ZyGt2Fcivt4vxRJshwRYLubrm/Qf0IB7bpycSd9syqUjZbV0pLyW0mPCVNtzzaXN7mZzZaaWs7Z6JxcAlM4uhwcHUk1DPYJrMK3Zw9NpakYsNTq5oJuZEE6/7y+xjfkDAABzUi1zzRYsWCAC6osuukh0Di8sLKTLL7+cbr31VqqtxeottAYz6w+ViY/PG9FN7K3mPaD3zehL310zjirrmsQ+28r6RupjN3f4ktHdaXpWYpu9ykYsC+cMCGf41O6CbXQ84ooXV7hGYX9Ra9d4pf39hx009fnf2uz3d0W4gmXhnFlWM0uvxp5rJveXInMNYNE7wVIKjuAaAMDcVAuuV69eTXfeeSdNnTqVnn/+eUpJseybveGGG2jt2rX05JNPqvWrwWAW7yokDh94H2332DC6/8RsWnzTRDprWDfx9W3W/dT9UyJtFyjBAX50w5RMOnlAsvVz42aueQzStBd+o/HPLhOBNnTs8VkDaPHNE2lSb/WqX46WOd+oqPOy8CaP7xfXfLqRftpZaKg91yzc+vOqDJC9B/CGSb0T6M0LhovnMPbzzgJqMODrFQAAaBRcv/POO3T99deLIPrkk0+mkBDLfqM5c+bQ22+/TV9++SU1NeHCC4h+to4smpFtyUKzQGuw3NjcQltzy8XHA5KjxNzhMT1j6fTBqW2ClxBr5s2Ie65tncID/MR+VehYj7iwLsfeeIob6bH48GAPy8I9uy/O23hULCx9tyWX1HJSvyRRLcK3q5L48XnV+J6UbvI54eC7rnlvLV363h+01cmpALxYN7RbNEWFBoqg+us/c+nbLe5VxwAAgH6pdpW6f/9+Uf7tSHZ2NkVFRYkycZnRBt/EwfOmI5bgeUrvhDZf4zLpCc8us33OAQAHny/PHXrMz4kLD6bnzx5sy2AbCcZw6Ut1vSW4jghxL5s7tmcsfXv1WLcXAfh+n1tRK7Lzr/y2n1YfKBVN/dz9eZ05b2Q6qeHcEZaqEwCz2nKknA6X1rhVbfTt5lzaW1RFRRvqxQIXj+oCAABzUC0S4RnWW7Zscfi1goICKikpESO5wLftL6oWwSXv0ewZ3zZ7FmA3Y5j32tp/3h5nrif0iqdRPWING1yHBGJkUVe4mdmjC3fS44t2qnIuGpuaqb6ppU1pszuZ69ToUJGhcrcHwZw31tBlH66n1KgQsQC18bBlAQoA9KG8pkG8j3IjMB6bEUeFVfW0q6CKZv13lZiSAQAA5qBacH3SSSfRE088QT/88EOb8u+jR4+K5mZjxoyhiIjW5lTgmw6W1hDHzNnJkQ5Loh89rT/1SQynf57Wj8xK7hMPCUBJeJe3VWOz6Bi+cHuBKueiym50lGzK5W180c0SwoNodE/LYhF30lfDodIacWGvdDM93i/OjZsKEDSACfHjpaLOUuES7cYiGvcWeejkfrbnnPfXHlL8GAEAQBuq1SJxh/AVK1aI0vDQ0FBqbGwUncJzc3PFvOv3339frV8NBnJCViL9evMkKrVmAdrjhmWyaVlX/rcpVzRo4m7jPErJKJC5dl5iZLDtgpQ7XSvdiEsG17z/Xe77d1VlXSO9/vsBamhqobun93X5/xdUWoJrnnk+Ij1GjKHbfFSdzPXct9eKzDh35eexd0p5a9VBMV7v0jE96OapmYr9XAA9kIG1u5lrNnNQCkWGBNCd32ylX3cX0e3H9fHoNUT2HXEG9yt5c+VB+sv4noqP4QMA/TlcVkPvrMqhE/slicoZMGhwHRQURK+++ip9//33tHjxYjHnOjw8nM4991w677zzMOsabDhAUiJI+vcvu8VFxpQ+8YYMruU4MegYZ5N5bBQvohRW1iveiIuD6tMHedYHorGpRQSW7K/H9+l0O4MjRVV1tgZI3CGfbc+rFHs7lWx4x1UAHFizMOv4MKXIx7Pcvw5gFLwfOjo0iKb1bdsDxF55bYPtcePuIhzjyhQuWOLtLrnltWI7iauKq+vpus/+pDlDUunCUd2d+j9/W7BdBPSbcyvo/84c7FJgDgDGwuM8b/9yC+0rrhaL9fOuHCOaA4N6VO2i4e/vTyeeeKJoWsbBNc+8LisrQ2ANquBmZhyoGm3WdVx4EE3PTqQ0Ny6sfI2fn5+4vY6W14lqB6WDa84WP3SKZ1sQQu0CVb4vurrQU1pjCUjjwoLE6Dm+8E2ODBGl1ty4Tyll1gCBY3+lGyrJknolZn0DeBNffPI2jLtO6EPnjnDc8K/COlGAg3BPRAQHUr+UKNpVUEm7C6tcDq55cezmLzaJLRgfrj1EZwxOdeqxfPHo7qJR4tqDpfTDtjyaPSTN/T8CAHSNt5pxYC2fM7bkViC4NnJwvWDBAnrkkUeouLhYfL5w4UK6+uqracCAAWJEF5eLg+/iTNyt8zZTSnQI3Tatt8cX+CLzW0eGmx06ICWKnjh9oNaHYRhchnmU6tqUZupJkF0mq96N4LrceuHODdE4K/bzjRNVySyV2QUISo+Ak3+z/R52ACXwotqLS/eJRaxbpvZWvOKHx8dxcP3B2kM0d3g3saDXHl+gpseGib4Innr+rMHitc/VChe2t7CKdhZUiQz6K+cOEz+nswqXP3JK6c8j5TSyewxdOCqd3lh5kNYcLDV1cM0LITz5AWMuwVfllNbYPj65f5KoigN1qVYLtHr1arrzzjtp6tSp9Pzzz9tGbt1www20du1aEVyDbyupbqCVB0rEXmku9fWUbAhmxFnX4DzZQEhmj5TEmebq+iZRRuUuvkgOtF4o1za6HlxW1DW0+TvVKtnkTLj971GnLBzBNSjr03WH6ZvNufTp+iP0w7Z8xW9e7pPAwSpXx3Ag6siw9Bj67d4T6N1LRnr8+2LCgtwKrGVDQtY3MUKMtDzx5d/poQXbO/z+ZXuK6eXl+2nRjgIa2SNG/Nv6Q2UePd/p3Zw3V9OlH6xXvGkjgFEcKqkV78dnxNGjMwfQiO6Wxz4YMLh+55136PrrrxdB9Mknn0whIZZmOXPmzKG3336bvvzyyzZdxMH38MghFhsW5NG+tfYZwzqDZa75Rd/MFzdKi7KWYparkLn+cVs+TXvhN7rja8djBJ0lA2I51ssV/MJ3xuAUMX5OTTJzHeNhaWtnZeHVKAsHhcmgkH27JdetOdOOvLPqIL24bJ8Iqk/IThL/dtUnG+m+b7eqspCnhJzSWlv3cc7gc1Y/v6LjsV77iqvE+96JETQkLZqCAvwov7KeDll/jtnw6ypXAu3IrzTl5ILvtuTSbV9uptJqxw1hAewz191jUS1s+OB6//79YhyXI9nZ2RQVFUWFhYVq/XowAG7EwuIjlLm4l+WBRstcf7zuMI19Zhn984cdWh+KITx4UhYtuXkSnTNM+VLGKmsw6GmDvRAP7ouzBqXS307uRxMz48Xnv+0rpis+Wq/4bG85pzcmDJlrMI4xPePoyyvHiEZgGw6X08fW5oGezrfnMvB3V+eI16XLx/YQzQ3ZTzsL6bkle9t8v5KLobwf8v7vttENn//p8s/NKbFcNPeIDaNk6ySFPOu0AUd4bzbrHR8uuoQPSo0Sn686UOLw+43Wv6Q9LulPi7Ykdo6Um2sBge8r//hhp3h9eHXFfq0PB3SMpwJ8fNkoumh0d7GlRVatgQH3XMfGxtKWLVuoX79jmwMVFBRQSUkJRUaqm5kBfSu2rrbGK9SkSQY0dY3GygLXWUuH3S0N9DWeNhHqaoyWEjOuW++LnlfncPfxzUcrFC9rzEwIp/NGdBPvlZYeG0oXjExXdLwXgMSNDO84vg899cseERCfO6Jbm14HruI91lzJwVVUXPLN2zq4o+7POwtF8Ds8PbrN95/1xmpKiAqlv5+STamRnt3HI4MD6OedBcQPb/5dSS78vK15FeJ9RnyYrRlaXkWd6DvS/vbgLRqclWe9rI/5sT3jaG9RNQ1Ki2rzfVd9soF2FVSJBYyVd0wlo9l4uIyKqhvE4gHvjee/+2hZHZFzzdQN4XBZ62LBupwyTY8F9I0X0njrCPdcOOvNNeLx/9nlo7U+LFNTLbjmrPUTTzwhxm9xx3Dp6NGjdNddd9GYMWMoIiJCrV8PhgqulQmWbpqSKboTc4MwI5HZTYxD0V5rF2DPnhpfnjtUNNBxp3FIYWUdhQcHin2fnHmRjw/Z6EwpHETwmxrSYyzBD4CSftlZIEqgs5Ii6KyhafTfFQeopKZBdNr25Hl/w2FLcDIxM87WL4GDVc70tHe0vJb2F9eIkmwlXrv4wrdXfLgIcnnknrPBNWcuuSnZLzsLxdzamNBAsSjITQQPFNdQ36S211eyWzAfMy8isAtGpdPx2Yniwlv6YsMREVgz3tWi9AhAb5i38Sh9vy2fbpjci7pZM9d83sxk4+HWfgB/P9WzCRfgG/j5gZfoq3TaDNZMVAuuL7roIlqxYgXdeuutoit4Y2MjXX755ZSbm0sJCQn0/vvvq/WrwSCKrXuuExTqXDiqRywZkcy08ygxcC4r8c2mXMqID6fLxvZQ9CaT+7i5I7knOABw1zlvrxUXyF9cMVr8jbbtDgbrJQCgJM7GPrpwl5gS8Mb5w8TC0OQ+CSLT6k+eBX8c1LLOAnQOZnmxa7W1hHpIeoxYBGtUoHR6QEqkJbjOr6QpfTqer22Pj4W3kPCbxIsOXCq/q7DymOB6XU6peJ9t18uBu4v3tXuu47+Rm8VJvPXGaIE149uS8ShDWfEj/80sdhZY7rNcfTTQWt4PcMz9JL+SPt9whAakRtkqcIy+3cOng+ugoCB69dVX6fvvv6fFixeLOdecxT733HPpvPPOw6xroMr6RkXLwo1Klg4jc+2c3PI6+nZLHo3qEaN4cG3LXFszO97G+6Hk+Cpbt/AAdXoJcPkoZ+m4W7HM1imFs10FlfVU29BEPePCHI4zAnDF1twKEVhz5nVwmuUi8e8ezqSXuOGVDHId+WVXId3zv61t/m1SX+eCYGf0TrAEwges2WV3cQaag+vdnHke0PZrv+4uEu+nOQjev9+WR1//mSuC84MlNWK/OVff8O3Mz0kbDpWJ3ijyOPWMn3v2W2/HzIQIcX3x2ooD4hzyc55ZtqqIc2xdUAHo7Lnt60254rppbE9LAqrBjUaroKM51/7+/nTCCSdQTEyMaF7G+7BHjBghPge4/8RsuvP4vop1e+WMJl8Y8AqdfZmbHvDqOe/n5UCmPZmRVHpeq1nxzFK1xjxV1FrHU3mYuf52c67IlJzUP8mlclX7ci05913eL5Rebf7b/G20/nA5/WvWAJrRz9IdWSm1Dc0067+rxMfLbpkkSl8BPMHznBln6ZTsT8ELQNwxmznqP1BV30hP/7K7zb8NTouiq6f0phbr2Dwl9pDbd/92xtqDpRQVGkiZdtUtQ9OjxWugo8qZ184dKvbpJlobn9njC2/ed77paDnFhQWJSQVyy8jTi/fQJ+sOiwzpnSf0Jb3jjunyuZJLwnlxb9agFNHYzEx9TU4ZkEzdYkLFYsFXfx4VlW8zB1lG3gJIcjtEanSIrTrSaBN1jEjV4JpLv5955hmqrm5djQ0MDKRLLrlE7LsOCMAFl69TMqDkF5j5W/PplqmZuguuH/5+O/24vYA+vXzUMav/8kIAmWvnyNupVoXSptE9Y8UCCDfk8sRPOwtoxb4SUZboSnAtR1dx5kg2JLIvC5elqUoolaO4VOgWbn9f5kAbwTUolalr/9zOjwnu3+Hu9iJuZMb9Dbh62NF2kIjgQPr6qrFteh4kR4dQbHgwlSgVXFuDYTm3uiucTX5wwXYxzvL184bRcOvc2lMHpIg3R3jcJW8zcWSk9f9HBAfSj9ePb/PcOthacsyVA0ZQYu3lwnvQ5YjPhxWqcNCT0wenirclu4vo8UW7xOMCwTW0d8TaxJAXYuS1BCd7+DlE6Yo18EJwzeXgjz/+OM2dO5dOOeUUSkpKEh3C16xZI2Zg89zr22+/Xa1fDz5IrQyfEjiwZj/tKKBrJra9OMxKihQXbtwECroWGhig2nm+ZmIvRX6OXCF2dZ+0LAnnvZxSaKC/yCbxTFp+UQy0jgjylBzHoUb3dc4QcYDN56imsYliSZsyezCPXQ7KYLl65ZRXf6eahmZaesskt0boceZv6S2TRTPMjhaueKHLPnhXepsDz5/lxzc/zvk4uvo7Fm7PF4E1B5D9Oyhld0X/lCji62zO+vLPTbRrqtbP+vO5csAIF+T8NzDZtM3s5Pnnpn6fcoXByHRNj4c73//7593iuf/MoWl089RMQ+7bN4uj1q7yadGhbfr6cA+LQH8kOA0XXH/66ad000030Y033tjm38eOHUvjx4+nq666Snyd92aD7+GOyH/7fgf1jA2j+07MUuRnyicOftLQm7OHpYkOpnxx0h7vG1Z677BPZK6tWV49ah3F5dp9UZa6h9uNAuPy8IU3TFD0+Djbxxk7xhfoauBFAf77OXMNFrnl3GE6GFtAXMRbh/YUWjPXdsE1P074eZ+Da575bN+sy1Wezrb3BFd2LLtlslNly7zA9ubKg+Jj7mbuqCqEnxv5Z8nqlx+35Yt5yMdnJYo3R89XnNk6VFpLe4qq2wTXXFYdHhQgqmp2F1SKQNwImeu4dp3cy2sbaP2hcuoRF2qIveOd4ccCj2jkkUo835wXZngf7Q/b8zUPrnn8Gd8nuZqEZ8ev2FdMj5zW36PHJnj2msN4WwQnoKb2SUDzXC9QbZMnz7KeNm2aw6+NGjVKZK6LiiwNNsD38Is47xlbae28avY517LsL6fEXONAtCAvJpXOXPMFPO+v5MBTq+Caf78Sc7a7whfKsouuWhme1vJ9/S6CeNtd32ylaS/8Riv3F2t9KIZypKxW3Gc5iOgZ17a0mYNCJmc4G5UzgTUvzt71zRaxr5oXxXi+d3tXfrSBpjz/G60+aOkOztbklIrRVLJxmyP5FZbb79Z5m9r8O2cdx2ZYGiFxUzC9G9otmp44fQBdMa5nm39/fsk+uvObLTRvw1EyuheX7aOLP1hHH/1xSFRRvHnBcPHvvMCkNR5hx/v7H7AmTbj3yOu/H9D6sHwSP19wEz+Zueaqk6fnDKJ/nT5A08VEX6BacN2nTx/RJdyRPXv2UFNTkxjJBb7pQIllH34PD/e2KlGKqzQOqP48Um4LXvjzfdYxIDlO7qkD7++55tFwx72wgiY/t9zjJnu2+6KLx5gQHkxnDE5xehyPu8pqGm17u9Xa6y8XQZC5Jtt9gUct8QUPBzpaUaMRoNp4Xvwrc4fSgydlH1OWLDOUZdZmhK7iMTW3f7VZlFrr3bI9RbRsb7FtRnWE3fYRKTzY8nguqbY0aWMHrd2zM+I73nok92o7Gus0I9vS8PDtVTniGPQsOSqEpmcn0cTM+Db/Ps3a3X3x7kLFmqhqgRujrrImJTgLyTKsC05cjcQZej0E2HOGptE/T7PsdeeqCZlBBe9WiHJjcH7OdNTIEAwYXF966aVib/XDDz9M69atE/Otd+/eTV988QX95S9/Efuwt2zZQhs2bBBv9fWtLwRgfq1zKJUrz7I1ftJ4z/Uzi/fQXz7eQIutq/wFlXW22aG8n629Sz9YR1OfXy4y+eDchfb3142nnxQulZYzrnlF19M9YiFu7gvn0rm/ndyPrp/Udu83X/xf8dF6kcFTgrwA4/3Wao3J4rJwhsy1xd4iS1mz7L2gRIWEq7hh1sz/rhSTFYyEF2q42eBpA49t1hVj7Rkgewi4irO5y/cWa77w+fLyfXTZh+vp106yw/aZ54tHO95KJCtRZHk0O2DNaMogzJHbj+9Nt03rTc+cOfiYr03PTqTJvS3BqqOtTUYwLiNOLCTyiECunDNySTiXgHOvgD7W5n68PYJfF13tOK+kVftLxLUPB3TSKf2TKTspQhzvkz+37bgP3lnkWHLzJPr08tFtrml4cUmL1x9fotqe6/vuu48qKyvpk08+EW/tffbZZ+JNWrhwIWVkZKh1OKDT4NrR6BOPS3E1zlxzYxH7DLrc29pRsMWZJN4z6I9JXE6XT8oLCSWVW7O5PN7GUyGBfopWUXCnXt7DJsvGPcV/4znD0ijCw5FjnTmxXxKN6B5DyXb7N33ZtrzWwKi+ybLn3ZtNl3jv461fbhYf/3fFAXpp7lAyA3kbllofv66S4+8cdQr3Jg74+HF+pJMM3/F9Eyk6NJD6JER0WHESFx7cprFXRW2jeO6Q+6c7EhEcKPZwO8Jdt5+ZM0iM8rLfy8z9TeS+br3gRWr+2zkDL7cMyMV37qi9JbeCtudVdHpb6BmPTWPpdn8bmz0klYqr6ylEo/PB2emP1x0W1ziyjw4v3D50cj+a9+cRGp8Rp8lx+TpeeOkZ3Hpfn/36KtFB/IOLR9qaFYLyVHs1efLJJ6m21vkVtJQUzOfzFbxiJju/8qgipUzsFU+JM4OPedHxNt4PZ/+32ZdpOWq21jqKC3tgtCQz10p0z547vBud2D9ZdP91BS+0tFDLMdlzd8vMO8Kd6e+ZoUwjwY5c3m7Poxo4k//377fT7CFpuh9D036/a2FlvdeC6215FWKvLuOq6km94+nGz/8UgdKjMweQ3nE2lx+fo3rEHDNVQY6SczdzXWF93Mu58lrhoFkcj91ibHt8MdzVBXFcu8z1zgLL/Y4znZ78jRwoyfnZnKV8fule0Vzu0jE9xH5O+yaMWnp/bY4Yg/i3k7PpjJjUYzprc3DNC10n9U8mo88ttnddu2onb/sjx1J5x49Re3x/vf/EbI2Oyrevszk33b4KT1aqab190uxUezUZOXLkMf/Gpd/Bwaj790W8/5gzjnyByZ1MuTyam9P0U7CDJHfO5Dct8T43XjXnp69e1pmiMiM6PD2aXj/f0njEnnyS02rF2YieW7JXXITeMKWX6L6sBHlRG63ARTZ327XvuOusN1ceoPfWHKILR6XT7cf1OXbMHF4Q23jj9wO0/nC5eNN7cL3fuu9V8ma5/P825Yps+fhecfTsnEFi7/ezv+4VgZiSs9PVwhmxdYfK6NHT+h8TXPdNjKQTshLdHklVWdeki+BaZs5lsO+uWGtmucS62LDdWjExQMEsFWfNeTQXvy3Ymi9Gib11wXBb1lxLVfJ8Ogj2h6RFi6kdcs+yEeVaG1Rxya9e8DYTvi/wNd6oHpbmd6AtTmBxpdKpA5Lplmm9ddebyOz81egS/tRTT4n39g3MzjnnHBo6dChNnTqVvv76a6V/LegUX7g9vmin6JC7+Wg53fzFJrrqk43ia4OtIxvMRO7l4hXD895ZKwI2WebXUXlsa+YawbWzvt2cK/axy8ZcSmaulSgLd5ecc92+W7i8byiVueYFLi4hVLO5Ff9s7jfQWSbOU/YLEPZ7/fRIdmOWvHlx88chyx5rnjvLJb5cHsvj0jkAy6/Uf7+TQmuvCkdNebhR1ZNnDKRzhh/bOdvZBlEsMiRAH5nrDoJrfsxyHw9+He1MgjW4lv09woL8ReNCJeZhS0PToynJ7lzw697C7a3XfEqUGHN/AI+eQx0slvC+cQ4AOfCQFWbOXMMs2V3YpmeClmT359SottcTvBeeq+Tk/dmb5m/NE+9PG5DcZh68/X2XA/DfMSXBK/g+y2PQ+HmzfS8J20K9xr2JzE7Rq/mysjI677zzRCMz2aCsrq6Orr76atq2bRude+65Irh+8MEH6aefflLyV4NO8TiQr/7MpSm948WLAV/McY5k2S2T6Nmzjm2c4gl+IvllZ4GmY27K7QIJ3tdysKRaZFzYkG7RDv+PfJKTT3qgzZincmumR17kemJ3QZUYP/Ldlly37j8R7boA24Jrbv2pAO6Ye/IrK22lwmrg5janvbaKvth4RLXfwQshsvpFPs706vTBqTR7cKqtbNdbjRd5gUNOKxiZbinZ5EXN3tZmSLz/VO+4hJ6p0WvBVhbuoPO2Fplr+9cQe7zf+e7/baXbrPvmO8Kjyib0iqMxPS17XM8a1o2+vmosnaxgGTSXmnK1gPTX4/t0OV+ZnxOv/XQjrTnYedaYq9v4bzz/3T/cOjbZl8JR5jomLIieO2swfXnlGJFtd8Ybvx+kO7/ZSpd+sJ52WUvstXTx6O501wl9RT8Ley8s3UvTX/pddHT3tnU5lufe4xzMUBdfP1QmkipP/7LHy0fmm3hxSk6kOGtYWpuv8UJbR1sUQTmKvpp8+umnFB0dTZ9//rltzNb8+fPp8OHDdMcdd9C1114r/m3YsGH08ssv04wZM5T89aBD9qvs+4stK2hpMaGqZKx35FXSPd9uE+Vv43u1HcPhLeV1Dcc0N9t0xHIbLNiaJ5qt3DOjLyVZs9hcLi+7r6Is3I1Z1w3KvUBwGf/xWYmKlE/yeeemUWN6xtKsQW33/XXmgLV0WO5tVGvPdb0XFnRsCyAN6pY/j+weIy7I/8gp0/U+Sjl3l7u+8yJjXaN3urVy4zTutN3U1GwrGZb3d87gcdCmZ1wBwTOuWUfjZLj7LS9SujO7VT7/almx4syea5m9d5QZtMdNQp8/e0ibf5OvN0r3VOCbLiEiyOG87fbn54bP/xT3+/u+3UY/3Tixw++Vi098Pvm5w9Vrhdbqn8AOu4a7Yo81Y83HM39LPt12nLZNoLjs2lHpdbj1dqpWqOmls7hiiLvRc8g2wrp4115WkmUhj7Oo/HhrP04PlPX+mkPiPW8vm9DuWhiZa+9Q9NXk999/p+uvv77N/Opff/2VAgICREZbmj17Nj366KNUVVVFERHKjWIC/ZH7vThru/GIZXVzoEodCnkPt9Z7SdpfGHHDpXcuHEFfb8oVWUxupHLd5F5tguuxPWPFMYcGIXOtZeb65AHJ4k3RzvUuBMN8X5Ajc9o3+uP9oEp2M5aBnQza1dB6G6gTRHKQytnGidYRQZwRM8L+4YdP7icuMNNivNNFnUvAeUZ0+xFKsgxa73OvC+3KmyMcBEyHy2pozhtrRHCx5JZJLv/8n2+cKLI4XC6sJX6M8znp6HVAZu/ty7G74k5w6iyuIrh7et8uv48fk//+ebdtDzgv9vDM4472DPPfFx8eJDqc8+JPRxVfHf0u2f09QqEy/ydOH0jzNh6hJ37aTTvy9VvlIRvKycUFb+HFOW7MmBwZ3OECFS8I8eOLX+N4uwI31wN11HAJvjWh42jRC3uuDRhc5+fnU69evdo80a1atUrstY6NbV1p46ZmcXFxoowcwbV5cGaWS1EePCnb9uQpg+uiqgZ6b42lXGlEd3UaXii9L9Udpw5IEeVa3DSF33jkGDdZu+243vTLrgJxYVFnl8njVUSzjMTxplCd7xtyZ+Y6d4Hlv4fLtuxHyLCn5wxS9PhkSZiamWvbbaDQYhfvJ+SLdDnGT04c4LEvryzfRxV1TaK/QfuGV3rAi25ltQ3iIlSrpovts0Uyy8sXY3pWWFXXaUm4/Ds4u80ZUndm1OthnNTYjDhafNOkrvedO1kaz48X3pbB5c/PzBl8zHOKkt5fkyMWji8Z050GpEQd0zCOe2Pw2rfc1XL666vpktHdRaMlbvT3+KJdFBMaKDrX8+s47w/njt9chu1KcM3Pn/J3RHSQueamo5+sP0INjc1tGj11hhuhMW4EqOUCHgemXP3WIy5MjBqzJ/eYe2uxjCsFX1y+T5Sp/3j9eNvoN0f4McnB99HyOtF7AsG1ev48XC4WMXgbpqPXQr7f8N1XjS02oFJwHRQU1Gb81vbt26ml9RHmAADGa0lEQVS0tJTGjx/f5vsaGhqopKRElJCDOfB8zoe/3yE+/mbTUbpmYi8qrW6wdbbMt2s2xPvB1KCHchdeuY0KjRQdGjm43nC43HbBF2odtVWr04DQSNzJDDuT5eGfq8SFkzvBv5xfymNt1M6ieaNDvdKLXU/+tJsW7mjbNIkz/Bw0nD8ynVbuL9FlYM2W7imiv/+wQ8x6feGctiW73prU0B532ecLXr03lbTtt+6gtFmWw8qFggiN906ruXeeJUR0nfV7aMF2255LXthOVjlTyN23Vx0opUmZ8ccE1/ya+K/TB1BJdR+xMHbdZ3/SpWO604WjLDO1v9mUS+ut/RK25JbT3+ZvtzXZK3Cx2R7fz/81a4DYd91RBQA/J7+18qBYbLp5amanz/ccCMaHBYnnGV4c4IUCXuRQo8zeGTxG7MEF26l/ciS9f0nbiTwR1seB3HOuto/XHRLPuXsLq2j+teO7nNrBDV05uOaGbN59BvQty/dZeg6N6uk4iaX1yDZfoeirUFZWFq1YsULsqWYLFiwQ76dNm9bm+xYtWiRKxyMjMcDcLOQLuX1joe3WEqqecWFilTqnpIbOG9lNrLqqQZa7NCjU9MkTclWZV3N/318iLjrki32tgvuEfZWcCa7kbXnJB+sop7SWXp07lIa3axbj7n3RldFZ8RFBdObQVMVGi3XGG030lCzd55JmbtLCbpjciwZaL+DlzF9ezJuRnUR6xVlrua92ye4iMXuY934OdSEr5w7OsvGkBu4+//7FI9sEWZeN7SHe9I77Frx49hAKCvTr8H7Gawdc9V5T71pwvb+omp5bupd6xIbRHce3dp7XI9n9u6N95/b4NVc6rm+C6ntc5SQM+0X09nhM16jwYPr40lHiOUHuHedsMLtnel9R2WHfvb6out7lCoQZ/Tp/HpCz5fk5hYPljkqZtx0tp1Nf/l304OARmry4w4EhB9xaBddyAbb9jGstysK3WqsSb7Ob2NAZ+dzT2X0EPHfRqHRKiw6xvUaCCYLruXPn0pVXXin2UvM+a+4aPnDgQBoxYoT4enNzMy1ZsoT++c9/0sUXX6zkrwYN8QXcr7sKbZ9zY6ENh8qod0KEaGTBq77ZyZH0zkWW+4FaWjsqaxe8/m9zrsgwTOubSGcNTaNFOwoow3qhE+og2NhTWEVXfbJBlEl9ctlozY7baB48OVtk5LiUUCncpZd/prxI8XZmnR8v95+Y7fBrn60/Qr/uLqRTBiTTGYOdb5DWVVm47FOghta9XZ4vdnH2e+7wbqJC5tIxPY7JxHLwwM8xvO+ay8W5M3JXjZ+8SXaA5uB68a4Cmr81XzwfqB1ccydsvg/yG3dKNiIOysb16vhccuaRS8M5qOA3x/2KHcurrKPle4upT6I2pfrtH5O3f7VZ/A0vzx16THM2WRae5MT9mh8L0vRsV24R98jASY6Jkrh6raqhkbpFh9oyxH2tza0YV3VtPWpZhOfyb+4obq+4quNSY3dxpQbv369paBb7wDsKrj9YeUC8T48JFc/nfxnfUzTtStFwvnRehaUy1NF+dfm65Y2ycH4+kaPMhqRFubQA0/4+Aq6/Fv7zxx1iiyEvSLVvfsr3DVkVAiYJrseOHUv33HMPPfPMM1RdXU2ZmZniY+mMM86gXbt20aRJk8R4LjAHvnS+98QsMY6Bux0v2VNEP2zPp3tnZIkScN6H7A1y35yWZeHzt+SJzD1nQngv6L0z+touKkKCjs22cikyr55HBut736PeKL1fiBeI5EgeJUZxubPnujPcZXXNwVIa1G6fnbt4fNXMgcmK/byOuhafMTiF+iuwgs4XjjdOyezy+55evIf2FFZTRlw4TbI2OtNTcM0BblNLi9cWAbkkmHEzPLngY0acma+y6yruLNn8Sslmge7iBSLeT8trUTyruH1wzd25OaAZkNp1xd/QtGhxm/A5H+2gs7TSZLVNSXXbYPjbLbn0/NJ9dGK/JHp81oA2X1u1v4RumrdJfMzHyl3Cb1+y19bUjBc6w1xc6OTA7c8j5WKxurOFK/5dNQ11Yv+1fZa/feaanWCtiOEZ8VrjsmpHM64Z/818Ozv6mtK4CpHPD79WOrt/+oTsROoZHyZK2sF9XMH1o3WmPDfKvcmJ10V7Ly3bR5+sO0wXju5O16NEXDWKv6JccsklYp51UVERpaamkr9/6wv6rFmzqHfv3mIEl/2/g7HxfmIue+Y3fsLl8Vty39XNU51rGKIEzmI+eFKWCLK1ajoiAzS5Gm5/DI4aCPHquf3XQBu8D15uJ1BiJA/vm37rguEuBTS80MIBF98X2jdYUrrDJ4+sUntsVUcjY9TEtzsH17IJll5wcynGF6McOHmr8aK8HXhcUnsbD5fR/y3ZKzJz3EhKr37ZVUgVtQ1ibnNHTbnczdrxwqbs1K01fq3gplS8EFNV10RJ7WIQy2uscz+LR659eOlI0VMh0AvN2uKsI95kR3B5/+aLeDkurz37DOY5w7uJ6wa5x/rWqb3dmtzAYy/v/24bDU+PFqXcHR9vMB0pr+uwCRdfP+yylqu3n9ygpc7KwjmD2X4BQy3coZ/xc4ez11m82KF2pY4vkNsuZVM5ibc5PLxgOw3uFi2qJju69uBqEb7eUXtEpq9T5RUlJCSEunU7tgX8ddddp8avAx3hcs1hHcw6VBuXe80eou3qsgyc7ZvsSP84tR89elr/NqW48vtdXaH3dUt2F4rtB7wfc0qf1tF/nmYW+f7r6Ny5il/YXOlyy7788yg9++teOrl/0jHBToh1v6leu6Or7VBpjchu8X7Jzi7m5DaB0hrvznrtCpfwsZjQIFuDLm/MuZaZa0eVHrxQs/lohe5HcX249pDIRj55xsAOg2vev87bKlzNQMvFUL5v6QEfBz8XVSrQlMqbzf3kbGouA5d49CTvn+Ys9OkOtrLMGpwiLvJ5LjM3JOTRW9LIHu5dQ5Q7WYlgWwxol2mXOMjnDv/8Ui0z27xYsDm3XPyNMpvtbbmdlIV7e/wW02sDSTPjLZfStrwKWyLps/WHRcPPFfuL6dzhHc+dty3U++i1hLdov1wLhsedQvkCjUtM1e5KqnedZaId/ZstuMaMa5dXbz9ed1hkeJUIruV88uiQQM3GrMjtAo66Nyv9gsj3Oz9r+bo7o4ucwVUs/HvE3ngP9/tyNopH/fxn9iCa1rfj8y1/T1knY2G0II+HM9dKjyjrjNyn62j/uVxE0ntwLbP+nfVXuPOEructO1Kpo7Lw1gx6nchc2+PyZX7O4+wkb+nQG86UM/tMMFccsAtGpjvMovHzjv0c3m4xAXTzlEwKDPBzu2GYfB7vqvpI3pfkomp7PAKM9YwLt1URbTpaLjqd80LV8VmJXn+d4MykXJhL6aCpHT/X8uOZZ3yr9bwur2W4n44rvQp4YfjPI2ViZOIJWer3ATAjDqQ588y40R7fD/l+wQmbj/+wVIlcOLJ7p9NG5OuPHhr/mpk+XlHA0N5dnSP2g3Jm9rSB3tlf3ZGV+4vFkzhnMrQYMcPdal0p824NrvWROTEKpcuky+use1MVapDGL4D8Ysf3xQtHpTt1X5SN7mTjO3tKB2Q8qufX3UV034y+dNawjle5PbHhcJm4GM2MD6fPrvCsWd8RW6Yk1KlOwJ3NXNUCN1jjrTLci2F3YZUX91x3HFzLahm9z7m2bwantMp6/ZSF22fQ22euuTPzvd9uEwHNR5eOIr3pFRdGP1w3vs0i2j7rPHpXKtkutXav5yDi6k82in30r8wdagvenb2vdLVYwuOIrhjXs8Omh9tyLcF1f7v97Zw84CCGF6x4qkRHe7XV9O8zBlJxdT3FOpgowbfZpOeWiwB7/jXjVE108P5zV/egc5XIDZ9vEp39V9w2RfVxk2bECzofcrf9dmND7cfeXjAqXfFJJuA6fbyigKHZ5pDqoDvvXd9sFaVmX181xuslS/zi1lkm+o+cUtFNnMsX5QgcmemWM7DB1bFryrxARAQHitV0WS7oKX7Je37pXjEeiJt6ORVcd5K5VnqutzdGcSn1Is7ZKFlW3VFZ8DGZ6w4yUlq5aHRr99bgfd4ry+PFiNE9Y6lPYmuH5mMy1zoOrvk5VZ7L6NCgLr+XkzGujJ2q0VlwLY9DZtSlo9bFJe66rUe8r9s+UOXHrBypxYtrruKggcfV8esjLzQ4G1zL262rhZiuyqp5FOOVkzKpf2LrNQQ/L/N4o41HysX+cG8H13y/Pq6TjK/Ys2/dVqDHahSxpUcsPFsWP/U0zcFo7K8R/vHDDtFgjvF9sqvnMqWbrYJj+nhFAUMrdGH+pto4COHgut4L+xkdBSzytzraQ80NXBZszadxGbG24Jr3qvEoi4x47F1yRbDCwSaXWvKeTqXwhQ7fF/nikO+PzpB/i6MSSg5UlVzpl4sSMgBWg1Iv4jJrzY+Vrsakxdr2XOsrc22PO/ryfvx4hRZyOsONovjNEXlbcnkg3x/aN9HTA85cciauq7Lw//yyW4yru3pCBl09McOlkX53T+9re97WGl8Yc4DUvmLzaLnca2uMbVf7ii1Z6+TIYLergcKDA6mmod6luc22zHUXCzFd4QWpE4elU0lJFTXaPX/1T4kUwfX2vErNq/Qc4QUz0RBPxQUzXsRirpbF8+IAL37yc3OJwsE1LyYoMULTiLhqVDYH5EZ+XeEmh1qPrPUFhguu6+rqaN++fdS/f/9jvpafny/eeARYRMSxK/WgPC5PkU1h9JC51nJVji9OP7hkpLhNHJV5czOj9s2WuCOqO11RfZ0RVl85cOXg2tkXsc7KwmcNSnHYFMhdspmWmsG1UnPnD1sDi/TYrrN2HLQ+efoAp8fDeAM/H3DJHjd2iggOFOWaeuhNYd+4jy9OY8LUDa65cocXSiZmxjt9YS2DpeAAy2JVRwL9/UWA7E4WXs3qDVf989R+DoMWOYKpq8oNLb296qCYU82l3dxh++W5Qzza18mLDEVVrvUEqLBu7+HeGZ3hRlC/7ioUe9hdeV6VU1C251lmc3vT/qJqkc3PiA/vcN+9DDDliDm1kilnvbmGesSFiesdV/Z28/FxcC0rRjy1NbeC7vxmC0UGB3q89cgI7vt2q3gt4fFbchLHrdN6i4pJ3rIwObPr/jNJUcE0onuMqKAE9RguuP73v/9N69evpy+//NL2b01NTfTggw/Sjz/+SCkpKZSXl0f/+Mc/6PTTT9f0WH2BLNnjrJoemsJouZ+Eb4POms3EhgXqstmSEfHFtpKrr5w15p+pZJMaV0u5OysLV7p5jrzd1AwslCplP1zaOvalK9wISatOvh3ZmldB1376pyjZm3flGK/+7sam5g5HMfG/c/acM0pqZzGu/2wjrc2xdLl9/uzBNCEi3qVmZpyJ7OwxIPcq67Ec1hUd/Y2y7FOvZeFsxb5i2nC4XDRZ4tdBHp3mCXca7nFF2IzspC5HPu0qqKK3VuWI8WYyuObHypsrD1LvxAixkDcgMIDa578Hp1mC601HK0Tpu1I9OpyxbG+RmBl+yoBkeuS0Y5NL3nocHC6tFdVYXFHgatM0JY+P+5pwRQd3di+kep/IXvPUBN5uYb/1hSuhXDGhV7x4A3VpFg1ddtll9K9//cvhyC5HGhsb6cknn6QPPviABg0a1OZr7733Hq1atUoE10lJSfTdd9/RvffeS8OHD6cePSzlt+CZ/67YTx+sPUQvnD2kTYOSKmvjlcjgAM26LBtlzIDcD6rnklVfbWj2yI876KedhXTn8X06LKN1O7i0Bs1d4X1+vPqc4YW9fPJ2c2UOt9sLXbxdwoO58zJrxzOsjdyTQmZreazYkt1FYn+/mqWl/Bw4+bnl4nnnyyvHOAwEfrx+AqmNL4J55Ff728MZnFl84ezBYp9mZ2wZOxdHWHFjP75b3jA5U1fVDu1vP1lmzYGfXslmgvazrj3hzjnlgH5MT1eCvNaf/fWmXHpj5UHb5+mxYfTdtePa/D/OGnNWfm9RtQh2vVkaLkeVdbadJCLY8hh3pZTeVQdKLPfF7m5UUYQp2OeBn0e4yR9rsXZ412oMrDdwPwHZx8BRDw3QF82C68BA5391cXExXXzxxVRTU0NTp06loqKiNl//7LPP6NxzzxWBNZs1axb997//pW+++YZuuukmxY/d1xRW1tHrv1tedB7+fgd9dvloW8ZLjgyJ0EHWus1eXA0y17nltWJPNe89P8NBqZm8+OBVXy4V5QzlYwt3ihV/7l6qZNmv2R3XN1GUACvViIjnnfLeTiVXvkOsTeqczdzyyBoix50+ufPuS8v2icY+D56U7fGxycUnNffZ2gfuXB4abJ3V7aqxPWPFSv0oJ2bf8m39y64C8ffxY1APC362nhTW4Hp/cTX935K9NDA1StWLc+4q3GK9KIsM0S6jk1te16bvgLw9nMGP7/FOZFnC3ciI8YLPTzsLxH2Tn3/1gF8LeMrAgNRIEfAzLqWXlTV6LguXzSC5c/GCrXniMTi+V5zbM5ndOaeu/mwZhPJrN486s5fewSLnfTOyKCTIn7KTvDsSjR/PLMFBp/CO/i418H5z5s5IOCXPafu/kUc1mjm45udR2XtCLw0YoWOanaE333zT6e/loHrmzJki2/3qq6/SihUrbF+rrKwUe7AHDBjQ5v/w55s2bVL0mM2IL7zeX3uIJvaK6/CJ6U+7rMPhslr66I9DdPk4y/Iwj5Z5bGZ/3YxV0DJzfai0ll75bb/ojuoouJar5XIEDAfXPCqHVyN5ViE4j7NwSpbkyWyLXABRQqi1Y7yzDc06w9mbJXuKFLu45nJIDnLUbKrFe8e5RDMk0M82m9Md3CG3sy659uoam+ihBTvExzMHpoiZuVqpqG2gF5fupTetC5O9rE0Lg7z0HGU/hkvLRYa9vHHWjiuZa1dLiF0ZK8bZM7knWMnHvaeLfCsPlLT5t/jwYHp6ziAqrmpbDqo3cdagj59LF+8uFKXXz5012O3gmoNIXpDyd/Jv5gVrHi/I/4cX4jq7z9t3yucqEp5hLR8v0gjrnlZHFUZaKK6yZq4jOr6vDkuPFqXazmyhcdf2fOuYshTXg+u5w7uJbQOyvN4T7SsatNgH701HrL1HPK3g2nK0nO74eouo1Hnv4pEKHR20Z4jlj/T0dLrxxhsdfq2kpESsQMfFtd3fExsbS7t373b7dwbqqMmJIwHWCzT53l23f7JZ7JNauruIPv+L4/2Ak3rH06dXjKaXlu6jpXuKaG9xte32SYwOodN0lHG9dFwPUXY9MC3K6+ewrtlysRweEtDh7+ZsHmch+Dv5e2SGPTI0sM3/Uer8ArnUOCkhMlix+829J2aJc80lXO1/pqPzy01eggL9RHOm9sKsK9Vczq3E8d13sufZ767wcT51ZtstPGqTtxNr9tPueZzP622fbKCft+fbFhrOHZkujoefH5Q8lx0ptt6nuZFaR7/nqZ92iZLtm6Zm0pgMz/bIduSAdb+wVFRd7/TfvSOvgrbmVlLvxPBOs1JR1n4W1Q3O36aVla0NBKNcDK7Ven6Oti52ceAg/47oQH86wcV9lVqQ2x7KahtsWTbO/rp7H//7TMf7ijuSX1pDf1uwXfR+WXrb5E6/V55vXoxZtLOAftyWT7dM602vXTCMtudWkn+AP43PTqaqSktAowfFNZbgPykqpMPb9FJr0kMtfK29u9CyWDbAjWssJe/Hte2qE/eX1Dh9PEa8vsqrtDY1jA316HWD/y9vMeAqT7VfH1taWui2eZtF1cUbFw63VfN5g9bnWLXgmvdIv/LKK/TTTz+Jsu5ma+Bh79NPP6Xu3Vvnf7qjvt7yhBMQ0Pak8efc6MwdvFIaF2eMPQ3R0e7vz+QGHhxYM37CbAkOongHXVz5kqt7agzlVDaI4LqqsUW3t8/c8dodl39wme2Fu6PbZ/X9M8STGmc1eWW93vqwSIwNd/h/PDm/ZpZTXE2frc0R2etrpvbx+OfJRY7UxEjF7tuTnfg59ud3zlOL6UBRNc27fgKNymhbCptk7e7NmTa9PvbUenHecqSckqNDRLOyrjKw0XYVIGGRYRSn0QQDzqDvKbBkeK6ekkmnDkmjrB6W4DXRmoHiahU1z2VNS6F4n9rBcws7WFYnmuRUtZDix1JUWUdfbzhCr/12QHzeLyVKBMsltY1O/66164/QfxbupPNG96DjBnfcC6FPt0aakpVIfZKcf/weqJSZwGC3/3aln59TEywLETUGfJx3t5ZJ51bW2yaI9O8Z77US1roiy22XEhPa5W2Xxitvojy5mY5axxgN7hlHSQlR4q2r87tg01FasqOAzhqZTuN6d92hWQkl1ikjvVJjNLtv8GOaG2/y0/CgXgleDZba8zvcNlNd78ZjxkjXVyXWLZiZyVEenf9E689R+/WHbT5cJmIGtru0niY7WYGmJK3OsWrPem+99Ra9/PLLNGXKFBoxYgT5O8jGhIeHe/x7IiMtT+i1tW1XGPlz+TVXNTe3UHm5pWmDXvFqDN9pystrqMnN/cXcWEd6+NR+VF1RQ371HTcjCWpuEpnX5sYmMf+R7S2sEnsIeSxDlpf3IOlNobXRR5AfV1S0LYW0V1tHJO+tldZy5Ob6xjb/R4nza2a7D5fRC7/sph6xoTR3iOeVE3I0SF11fafnTimOzm+t9RhqHRxDbVWdrfRRiePjucZcYqp2uTCXg1v2i7o3p5urUGa98Jv4eNVfpzrV3Zz/Lr5wyC+sIL96bfao8vn99a7jaffhUkqwZiPleaurVvZcdiTHGtxHB/t3+HuCrTdnQUm14seyPqeUHvluq+3zPglhIrjOLat1+ncVWF+jgvxaOv0/6eGB9PxZg8XHzv7sg3mWheXo0ECX/3bVnp+tpa5lds8BX248IsY4jusVp+u9luF+loWtrUcstytnkBuq66jEen9X275cy++ND+v6fDbU1tsy13usZc7xQa2Pk67O7/cbD9O3m/MoJtifsuPUf47hfiDF1sxlUFPnzxv8vbzdTzZQVVJBeS2dkJ0oXi+rK2rJ1atk7u59oLhabHXIdmPPtr18622QFh1C/VOixHtnH8dGvL6KDPCjVB7j6MT9uzNKX0t0Jsf6HMuWbMulQYneC3TVOsf8M53Jhqv2TL1o0SJ66KGH6IILLiA1cROzsLAwOnr0aJt/P3LkiEedwht12G3aEb7TuHus+63lPZkJ4TTL2ljH0c9asruQ9hRW0+iesbT81sltvm/htnx6bcUBmjMklR5QoNGSpzjQz6+oE6M00mO8u2IlZ0uGBgY4fU5kt9JgDggc/B9Pzq+Zyd5YHLh5evvIAFD+XKVub57ry/sOh6RF0aA0x6Nh7M+vPAbOBbQ/Bpkf4O9paGjyKCjmwHPCs8uIf8KiGyaochEmzXxtpegp8MHFI6mfG3v0OBCTTVz45cyZc8OBfGNzE1XXNWn+2OHAuv0x+ItbXpn7bmdKrHtIeeZvR79HzlSvrG1U/FjyrOeOTcyMo+sn9aLRPWLFXj9nfxePO2LhLjynOqvYuvc7NvTYc+QspZ+fQ60Xbfx388/l56b//Lybahqa6fMrRlOveM8TEmrpnxRJ3149lvYUVdNtX26m1Gjnz7Mji3cViv4uw9Nj6MYpluZuncmz7knlvdpd/d6IwAB696IRYpHxqk82in9LiTz2/3V0fvsnR9K3lCeqPrzxHMPP2U+eMZCKqhsoOrjjx8LGw2V07acbRbLj8yuUH/vHt+2Tpw+0HJMbf/d3m3Lp5eX76fRBKfTQKf08OpYKa2KCG0M+4eYxOfP45b3cfHtGWDuxa+XCUd1F01MuzvLkPievJbjnh9r33dE9Yun+E7Po8UW7aO3BUk1ej7W6hlatGJ1LskeOVH+zPGfEx48fT0uXLm3T5Gzt2rU0adIk1X+/keWU1tqaknX1IseNuviJuz3Z9TFC4yce6d3VOXTjF5to0fYCr/9u2UwnzNrIypHXfttPf/9+u+j+bPk/zW1GVIBzZAaTS8E8xSv90/ok0LiMWEXPw/fb8unpxXuOaVDUEdngytF4rPadtz3BF5SsReVRXEp07y+wZmu4JNxbv1MJnTVwU3pGe0d4rjZ3WufFUyUbgTlLdgXnOazPnTVENLbiiQhjXdjbzRk4FuFkt3PeRsBvzpClyzHW/dp6wFl02QSRH6d5FXXiNYKrMXgsmZ5xg04+x/utr22ejjbjqhXetrbHmgRwtSt/Z7iKhoMy2Ug0OTJYHL+z5P7/Pw+Xe6UZKZ//aX0T6ayhaR3OrZeN+fjlgWc/65FtBJoCzzd9kyLo/JHpNDFTvZnN/FzCI9r++cNO0QGfF734OWnl/mLSAi+qe9o82P7aydnnSk+MsjYG3Hy0XGTLfYVqryoDBw6k1atXU79+nq1OOYObnV144YUii80l6G+//TZlZmbSKaecovrvNjLOaHA2ekBKpAicuQnJyQOSj/m+CuseDUclaXIcgn0nbC3JYMHTAMSz4Lrj24I7PnM289QBKeKilxv1cIdYLUflGJGSXeG5e/N/5ijfeEtmBZ0dxSWDLfm32bP/N/4+Z8qjO2J/PGqO4mo769q9F1V5kchNuZz/nX5tFhG8jS++Zr+xmkZlxNG/ZvWnAGumWuKSyBfPHiKa16np3BHp4q0zao7uKXTj3LUnjyuyi8Vbfu497bWVYrF3yc2TnAqU+ML87GFpqi9yuIJ7SPDdNyw4QNyPeJ4yy4gP03Wn8PbZKpadFOHVQEw+V/AoTGetPlgqbm++DnJF38QIUfbOCzQ78ytFoK4HchGSHzfcFC9C4aQH9+bh6gl374tKjuIa2T1WvEm8yMHnUsmtTjvzq8SINk6G/LKrUCzc8Osnn/cHT8qi2UPSyFuLtdwFXgltryVaxDQPNZTVNIhrYd66x7cbL35tya2wBdtmp+gjb9u2bVRXZ8k0TJgwgR544AEqKyujUaNGidJtRwF4cHCwy53D24/dGjJkCH3wwQf03nvv0UcffSR+31VXXeXSLG1fxIE0v/Ec61NfW0X8fDmtb8IxFyZyhZ+D67u+2UJFVQ30nzkDxUWiHIfgbGZBbbaLeQ0umHhVmed6djaHsv3xvXruMK8dn5nIRZTaxiax+qqHecaezLnm7LnMgDgKroMC/Oi3WyeL957+rXJBglfA1R6hJ89TvbUhm7uZ62QXMtd3ndCXmlpaqJuHI0vcteFwmeg+v6+wStwH2pek8cII75/VgzAVM9fcFZzZPx/yIi53Dx/ZPcapTKyzry98P6u0LgJzYOFsFpIXl9ReYHIFX0Avv22KLXjhniYsM944zc34/j09O5EuHev+tjx3AjFXMtey5ww/F/J4w+nZrnWx5ufN3gnhtPFIuZhDrnZwzXO4uQSdqwE665rPtxkvSvBjgBcbIuIDFT2Gyz9cL6pd3r9kpFuVCeHWYF/JxTxehDrx5d/F6ye/RgYrGCxydpyDROm8Ed1Eg65NRyvo0YW7xPP7KQ4SUkp7f80hem9NDp0zLI2un9z1Fomunit5WwM/Tvm6Qy0vL99PX286SjdP7U0n9U8SHcp9qUJT0ejzlltuoYMHLTM9pRdeeKHD71+4cCFlZGS49Ds62sM9bNgwevrpp136WdA6QoP3NJbVNtKB4ppj9kbK0ryokABRpsXlWjxz0RJc6ytz7a0Zso5wSVxXMz1tJTnYR+0Rzhowfm3g+6AeG/24krm2z7I6ykpzQK3URYPM1IV4IajwdLHLnWyUszOx1bL6QKl4Py7TO12EPcl28OOGn7uVyorYK7N2N7afIf3fFQdEtvDvp/RzKriWAXNXmWs+fjnm0NlKEb2yzwpylRPjCiej4IosuQfWE65WVVwzIYMOltbQ4A76Wzi67okLCxJ7Waf0jnd79BiPGVIbB9YPzN8uFqVeO6/zBXleiNxXXC0WJpXao19SXU/XffaneGxlxIWJMnp38DWkfcLGE5wU4tAwIjjQtjDNi+2eVHXZ4+17vPDCmdZFOyzbDHkRZka/JLrrm60ii88z0r0RXHMjODEuVIHnab5G5sURte0rrhbXZ/HhQXTxaM+mQhmRolekTz755DFduzuTkmJpogXa4FUrXoHlC/feiRG0/lAZ7SmqOia4lk1l5IUYB9cyo9AaXOsjuJElLnoq9bMnAxq9Hp9RcGZKXkzzi44nwfWOvEq6/KP11D02VNEmMLbsuhNZQb40mJGdaOmsrfI+aHnf4yy42jxdTJLBtbsXc972884C+nT9YfHx1E6yYV//eVSca96DLIMIpZ3w4grx/P7BJSMprYNFPy6N5jc1lNc2tNlHbL9IIrOMXblreh+xkJuV3HXmlrMifJs6m4V/bsleERhdNKq7x52L1bLd2smat275mogg6+xyJ4NrLu12pbyb7y+eZNc5aGCclFCbK0kMfoxZgmvlgv63V+XQ4bJaSo8JpWfOHOx29VR0SFCba0pPPPnzbvp1dxHdM72veJ7j61keE6ZEwRI/P83fmi829Dx/9mARXA/tFi0am7FLxnSnh7/fIWa6ewMH16xbtGd9DLwp3zriTqsKMq0pGhF5o4EZKOekV34Xq+RvXTic+iSEW4LrwupO973JC0F5ASNf+NS6QNRyL647F9a8z5BLPjtaMZYBDR8fl5NxZ8+48CB672I8dlzFK/h8seFp4MWr3bzyrXSJlAyuncmk8YXev7rI9vz7590iGLhlam+xou6uzhqnqVcW7t7jkctL+YKOR604a8OhMiqoqhdd2ruqJFHaM4v3iNX62UNS6dTBqVRW5nhYzX8W7xH3iyl9ElR57uTbW+uqorun9xWd4u1LZhMjQlwKru33VDpbKcLNwJyxfG8R7S+uoTMGez7KT+mmnNxZ94whqWJsEXPl/m8WSu7PVQN3ML91Wm+XGqG5y/ZYdmIRWb4eKhlcz9+aJ97fM6OvR43qIkOVy1xzIC3vJ/zY59vI2cd+V2QTPW4KOb5XPL138QgxBkuSEzbsS8bVxP2QWGqUMQLVlpaW1m0a1vsjX1/llNaIYFvtBIIeqJpu3Lt3r2guxg3HUlMtL2DXX389HX/88XTuueeq+auhC5xNE2UmYsxNEPVJtGQG9hZVHfMgkQ1FuMmK7C5bbX1iu2ZihijP4QYfetDaCdH7wfUXG4+Ki6JHTuvfYXBtCzaa+OK3kXIr6pDFdtMghfa5yRdppS+SQq1d45V6wV+2p0jcXy4Z08Oj4JoD+al9EkTzJLXxaj+Xobl7QXbawBTx5orXfj8gHoePntbfq8E1LzhyMMn+ekIf8u9kP7usulBrEVBmVHgtT6stExwQ9m936myZa+teelUeb05mrkutZetqjqJzx66CSjFhYEzPWFF1wPcpZ/cRm4kMmvh9V301uJru9/3FlBYVSsO7d7wnWUnefFzJMZ/OLJTxnmxu6MqBoSK/u77Rdq3Iz+ee4P4LN0/JFK89nvZK4UVx+brNr2kiuFaod4Qs9U+2vm4NaLe4Jbe68P3OG+Ttb7/FxhO8d54nEbw0dwj1TlD+2r2qvsmWVJDPXWe9uZqOlNfROxcO73A0qZmo9uywa9cuOv/88ykxMZFuvfVW27/37NmTHnvsMaqpqaHLLrtMrV8PXSixPilwJpWfsGVw7GjsBc+D5NVjLoPiAJvVWFdS+SJdT0Z0j6Fbpmaq8oTRFfnE3lnTBvsxCHIMlzdWvsGJF2mFV1PHZcTR/501mJKcuDCWIzE6u9iQ950GDwOyjPhwelqF7uiOXDGuJ2m19cLbTQ1ldoE7/0eFBjnXG0KlY5QXfdGhQZ3up95ytJxe/e0ApceG0r0zskht8rHgTOaaFx6+35YngpjjsxK73Bceam0g6MxiFmdRZNZJqQtWpfBitwxqspIiKcu1XlumwXual9062anv5euWhxbsEAHlvCuVn++sNVe23505NE28Kd31nxMrzvz+zvC1jqeN7o5ZFA/0ty2sKdWYkSe4MN6T31F1wEn9klwaEekJmelXakGcFw/4OVhegyqtwHqf4ddCeX3LJfUcXHMfCQTXHnj11VfptNNOo3/84x9iFrV03333icw1B9wIrrVjK6kJCrDuubZkWo+W14kGZnJVlr/Wz24/WmvmWp+lWrzC2H6V0Vtk+Vpnc67/enwfum1ab9E1k7sK29+m4Homl0c7jM+I8yhbUadSmbQzDe7sR35c/ME6safqm6vH6a4TvhZ4sYr3DvIFjCuZO62aBnJ2/qVzhlClE2WsISrPunbUTKyjizbOkmZVRyh+7ng+LO+3PnVAsm3RSDaBKnIiuObsO3fk5Zvq99undPn9g9KixMVnpBPZPf7ZvJzlp8PgWu5R98ZeXrNQYuybO/tgX1txgPjZ5qFT1B05K3vcaDGyk7OmnIRxpamkN8hAmgNrVxbWXAqurfvq2+PXpMdmtZ1apBb7Jo32/Sv03Pi3sMqy0Gz/us0LhasOlIpGcL5A1cw1NzizD6yl8ePHU0BAABUUFIjZ1OB9cu6sDCg4w/HAiVmig2tnQQZnrnmlsNk6OogDHM58c0dFtcf66J0zmWu+nY/9fvPvP1HDr7sL6X+b88T91ZPgWq2ycFfYgiwnMtdG6zTPWXkOZFztSM0vwld8tEEErd9d43jBobM5197eGsLlq2MznBuxJc+lWp2tZeY6JixQk+PgMVxPL94jHpv2Zf2tPTu6/n1Vda37TJ0pH3Ul885jYWRJuN7mR0dbg/1vN+eKRnRjM2I1WzA2ClfHcCmBm3LN35JnWzBSk6v9ExqbmsX1mRKvaUO6RYsRV0plOfl5nRfX+iVFUmwHwaszZCDNgTVXLKZGh9imiChV2amHhTd+vectIpz0Uqo/h6e9UJxpXHfKgOQ2YxizrHPv5QQEs1MtuI6MjKR9+/YdM5OaVVRUUHl5OYWGGmNzvhk5CijmOCgl4r1x3/ILSHiwaLDy8MnZYoyKvIC7+39bxcfOZBa89YJ3oKRarMzZZ9y9Qb74yNJ5Z78fZeHukQsVnu57UqssnMeXLNtTTEGBfnTqgBSPx2PJbKf92C53LNyeT3//YYcoW3/2zMGkppeX7xMNmi4Y2Z1uO663VzqFa9nU0NXMgafnsqs9111dHMpZ7ErfVjJzziMe7XEzm8dm9neqMVOlzNap0JCt2BqMdZSZ0pK8zXjr0IvL9tGt/r19Nrj+xw876HBpDd17YlanW73kc4U3Al0tFjvPG5FOEzPjaYgTe1V57/kt8zZTdlIEfXjpKEV+Py9uKRXY/eP7HaIL/rNnDqLJvd3fVlhrl7nm5olKKu0ic8148aKitkFUIarZHJSrcV6eO1TRn2l7jVTp9adfSqToPWRPbj3lxRVP99v7dHB9wgkn0BNPPEHx8fEiUy1xtvr++++nESNGUFSUb75g6IEMKLp6UuDxCzwMnscUcXBt/4CQpUr8M/Sy+s/zIG/7arMYXeLtDtw1TmSif9tXTMv3FImmI7ZGcSgLd4vcDyVLuNzF2Q4e4SKb+imF9xc9snCn6DLaVXAtM4edddEMUqgsnH8XN7zhOchq42w1d89250Vclg67esGsVVNDnnlaWlMvqnh6dXFfau0kr845iA8PprE9Y7tcYHSlo707DYHaB/d8oXhSf+fmwtpnrtVqECTHKelJ+9JP+y7FvmbTkXI6UFLT5QIqV0p4O3Nt35xUbZyZ5Tdn2LYP6XRxUe4blo9Bd80alCqyuWpklx+fNUDc5zpbUPjLxxtoa24FPXnGQBrWLZq25VWIa4iOxh7qiRbVXb3iw0V1K5933n7qSVNWnw6uL730Uvrtt9/Evuro6GhR/l1XV0dHjhyhhIQEeu+999T61eCEiOBAGt0jhtJjw9qs1nHwxxfvZ1mz2J0FgNUaj3rpdNSVly+sOVCRZUqdBcvb8ypEV/GmlhYanh5DmfHhpn+SUYurM3M7ckJ2knhTmm3OtRMXOTKDKV/01MyUyMeGvAhTU2vw1uS10rzWVXn1Fw/sfb7hsNhT9vAp2V0G1zxOjZ9b1ZpfzA3A+M3p5m8KX4jbqg48CAxl5trZ1xeeW/3Nply6bGwP8daZGf2SaFrfBMUaICnJfusQ43JXX9XaxLHzx7IWzensg1g9ZeJkBZZSj+mP1x2mdTmlYnuHM88pXZE9ZjzdH+1qJZSr97uunrsy48NEcL2vqEps4Vi+t5juPL4PnTcynfRO7W1JhVX1FBsaSIF21xj8OwemRNKmoxVi7K/Zr3tVC66Dg4PprbfeokWLFtHy5cspPz+fwsLC6OKLL6YzzzyTYmOdn18JyuN9NK+cO6zNv23JqxDlopztsAXX7QLo3/YW0+cbjtDgtCga3cNyDrUa9aLFXpLOvDJ3qAhcoju5PexLVt0ZMwStZJZCNrPRm9aLnK4v4J3JXD82c4DYku1pUCyDTm/OuXbnRdyZ0jxHTuqfJPZ3yT1e3iIXeZKss5w742wWymvnR+HFyALrqK32DaZ4EfLX3UWipHNGdlKn93eZuXb29YUXqLhBm6yo6gpXgshqEL2NGOQ9rlOeXy6qPnw5c+1sE0eZBW2/MKEm++dPrgQKDlQvuF68q1CUP49Ij+lyG5nc6qFU4MQBJD9mORmgxcg8Zzy2cCct2JonZo9fOKo7eUOmdZvCvqJq6p8cKYLrbfmViv+eH7fl01O/7KbJvePp76e2LbV2F/dWKqpqUC0xdu2nG+lQaQ29du6wNv1wZg9JpQm94mlAqne3bGpB1aiIV/JOOukk8SY1NzfTsmXL6KOPPqIHH3yQevRQpi0/qBMMyEYasjyGL5o4u81V4HIfmJ4y1/ajrryJy1+5tNj51W7vHp8ZKZW59kYGoavMhjPZZKX2vMmFJ28EFp5kkd3NXA9OixZv3iYXeRJ01lW3qwCB75VB/n5iD6FS23tk5rr9qBr+6fd9u1UEjdz8LTEwWLHMtawYUmu8jLdw6SS/zvJtxOcj3gdnXLtarXP95F6UV15H/VWqBHHE/rman787WyjyBL923P/dNvH4/PbqsZTaZXCtbFbSNgVFodcf2dnbk+PjUXrc04QXGnjxjXc48WuMEn8zL9I9unCneN25YXJmh4vQvRMsE3Z+3F5AJ/azVL7tVqFZF/fP4MkBSnVCZ2qOXeT7a255rXj+at9hfvYQ5UbE6Z3XUo7FxcU0b948+vTTTyknJ0d0EXfUSRy04+hJWT6xhgcFtuv22mTLECh10W+EEQOKrdq6USYLjjPXnK3iVXB3G8M98dMuWrSjgK6ZkKFoSZfMIPCLDF8YyS0LHf0tEzPjvNK4SD42vJu5dr8snPcP6x3fpnJ0kjNzzTccKqODJTU0MDWK+qqQYb953ibafLScHjq5X6elnLy/d9UdUxQvabUF1+1uC/49fHHNJfFdZa6m9E4Qwbkzt6erGbH/rthPh0pr6Zzh3WhoN+8vxDgzM50Day5NdbXLvpk4uzeUmzN6m/3zOV8zqTXymIMqfv1wds6xJ8+5jlTLRS6FesMokbnOr6yjM15fLf7W5bdOtp0LJYJr3mu9YGu+SCDdOq23U9VHfP3AuMGZ0ozW+JYTcvXWxXRv9kDwueB6w4YNIkv9/fffU319PQ0aNEjMuuYZ2MnJzjU2AeV99MchemvlQVGWfMfxfToMruWetPBg/zaBdHVDs914CB2VhavcBbEj3Fjj+235Yj/RzEEdl3pHWG+rqrpGuvfbrbS/uJruOK6P0yN8oBWP3Xj9vGFiddSTrAGfOy4r5H3wSrIPXrk7f2eZ4vG94sVbV12+V+wvocmZ8WLPqJH2XLuz2MXzkXlci6vBJ6+ac0dSbng3yEsZbL7Yk8GAM7NIv950lOZvzadbpmaqElzz1ITKuqYuxyOqtU/0lmmZdObQNMpOjnB4cW0Jrju/T/SICxNvznJl1u3K/SVi758Se0jV8L/NuTQkLUq1bKhR6LnzPz92Ft0wQTzHKT1pwlHJO8ePcr+yM8+5HN/wSC77fa/u4Gs9ptwYKM/3XNum3Vj/VtvefAWu+2SD1JjQoE4XtjhjzuXg3Pn8tIHJIiCXt5WS5CKJmvcxJcnbL5QfF+3ur1xxwNN8uFkpbyvVS58CNagSFdXU1NB3330nguqtW7eKkVtcKsBNzMaNc35eKaiHAwrOtNgHoY726rSWhQe2Lb2rbxJ7cO6d0ZeS1VqydYNWnYK5JPTfP+8WF9adBdeRIZbbr7K+iSrqamhPYbUoaQLX8ROzJ/Ot1Z5zzavp/NLRYn2BjPLw6XZrbqVlrmp4kEfBNTcS4S0MGfHOBy7u4ueG8Rlxbu1/PmNwqlu/k7etPPHTbjqubwI9NXsQecPh0lrxnhtEOnPBoPbzlGxE6czFuBp4bFJHo5PkRaLS1TuuZMTknGs9dgtnZw1Lo9UHSkX/AF/G1yQcLHb2Esnne+meIpHV5ecab16we6OBGi+UsajQIKf+Nr5Gm9I7Xtx2HGAHKpS5Viq45gqt2LBAUbWj1LQbJUvhZcWUM70+/u+swaIP0cgeMZbg2sl+D66oU6HS7O1VB+m7LXmit9JFo5Xdo97Z7Vff1EznvfOH+PjXmyfqKjGnNEX/sr1799LHH39MX3/9tZhjPWrUKHr00Ufp1FNPFU3MUlPdu1gC5bWu/AV02t34nGFpNKFXnG0cTmvmuokyE8LFm96ymVzeyxev3uzg6Ww2UDbn4cUNXsVj0WHmfYIxAvnipfTKMN/3njh9gMhYK9H0TzbM8fQCgjOK/OYNvPjxwjlDyJvUnuHpSE5pjXjfw276gpYZOV78dHaf5N+/3y4uiO6bkUWpXhgjEyK7BXeR5Vm1v0Tsu+b98ylONPVyJXMtsytxOt1yoFXfAL351+kDuvwe7rnxwPztYiFpyS2TyGzK6yz3VWcqYhhf+zxz5mDFfr9ta6BCwTWPKuQ3JRfElXzOd6WRJl8X84ha2a2ey6GVqBZQO7guq2kU25LkuEslyefWWAcLT7zwwz00OGnHCamIePNe+yr6l1177bUiS33llVfSrFmz0KxMx+QFiFztb1NO1Nxia27DF1v2F1ytTWP0uWeYXwCunpjh9d/bGlx3HsxnJUXSl1eOEYsAs15f5dKLJhxrZ34l/bSzQFx8nz2sm0er4GqUXTk74uvV3/bTh2sP0bkj0unmqZm6CRq1wuV9ewurKTY8yKnASutRXNz5umdcmNPVD2o3NpTPz2F2z+8dWXmgVFxkcSVTqgLxHF+cfrc1j9KiQ2i6g/u/s5nrN1cdFCNb/jVrAKU4UanB+/t4ikVGF6XknOmUmX29Zq7BebLXgRavo68s30d5lfV05bie4vGvhopay32Vrxm0IIM7rapgnHnNVvI535Z5daEqISIkkG4/rrcqt1GtCsF1iHWhXo1ridIaS8De0eIEL0hU1deI2fQZ8fpKzilJ0UdrYmKiKAP/448/KCIigmbOnClmWoP+ONrHERkcQE+eMdDWQdYR+eTBAfiOvEqxqsrD4dt3hfU1zoxSYnzb8j5C7gbL/4e3RCboNHtiBHuKqujtVTk0Ij3a/eDaugouM2pa4GPgF1Gutuhy/7KXO+Fr4XBZLV38wTqxyv3rza5lo5SaB+4KXgRwpW+C2mXhtl4ZLuzRVKq7MO+p45nT3ToKrp3MXHN1j/1Wmq6M6xUn3py9eOZtG3qadAGeZRpjvDjjWvplVyHtL66h0welqBdcWzPXzjQzaz/2jnnaEI/3lfNzg1L7/8trGyinpEb8PE42uKNOvmZbjyktJpRGdo/pcmHNGTIL7cr9iRNRao0A40XKASmRLi8yazXnmrednTYwucNzy8E1Z831OkJVl8E177H+/fff6fPPP6ennnqKnnzySZoyZQrNmTOHmpr0men0VY4CCi5lOaFdgxduolRa0yj2yfBsPJ5b+vttk8X38kiVn3YW0p3H91G0y7Kn9hZViSeNvokRXptj2uBik6jteZZ5iLwwYZQukHoku1HKC2a9Za5X7Cum4up6sRcwsZMFKFvlQyfHoFQn/L8t2C6O67Zpvel0N/c1O2tPYRX95eMNIuvy7TXjVJ9xrVVw7c1Gb13hskS5ACMrjToTrnA1UkdjuKTLxvagM4em0qC0KKeCa6UzdrIUkrvQm7mhjhlwjwnuxDy1b4LYH+oIZ8C0qkLwRjXRsG4x9LeTsl16LpzzxmqxQPnexSM8nkAhOvwreI3CvQTu+26b6Lb93/OGufUz5O0tn0d5FJYch+Upnj6iZaVAe38ZnyHe1LjfKtEArr0xPePEW0dkMqnI+hpvVoree/hBOHHiRPFWUlJC33zzjRi/deutt4qv837ss88+m7Ky1JuxBi6WhXcRUHyy7ghtOlpO/z5joAiu+RwHWkufbd3CncwseMulH6wXwfU3V40Vq2jeIMs7nVnd5RLgN1ceFB/ziiS4LzrEcsFRUed+YJCdFCkaa3B3UKW9uGwf7SqoohfOHuxUcN1Z6ZdSQaPsju6NRnrcrZqfJ1zNnrhTmufq+B4lvbs6RzTpObFfslN7E9W8KOctPWN6xopg2angWvbRsD6fe0rOneeFWEcmZXbeFb/9Ra4S/QraNzPje4ieGnGCYwdLa0SDwu6xHb+OF8vFEg3G/qi5SOZu13wmhwTIDK+eKDGKi7cqzhqUokimur2bp/YWC4CuJma251WI1y1ezPBGoztPqL0tqTNy9jUy126Ki4ujyy+/XLzxOC7OZvOM67fffpv69OlDp5xyCl111VUUHm7emns9650QLkbWyEZl9mVOlbWNNK1vgiiLqW7ouFOkHkdxyRc8Dq69mblyZbzRFxuO2EqJ0LTGM7JUzpP5ko/N6rppjrtCnSy/kvfVzl7QlRoz5+wWBiW0lrI3uxVcu3OR4u296Xx78iIKO64vV/50HdBO6h0vyvzUWPzjLNPLc4c6/f0yc61UcG3L/HiwB5ZLWqusC2bOBtdcanrD53+K+9wXV47p8Pum9kmg326bbPv5oF9yoayz50/Z+Z2nKHibmuW1nnA0+cUdvH2Np6Bwlcd9JyqTFAtzcltIZ3g2vVrz6fn5w51tjn//YYeY/vLiOUM0mbvuCiVHlzlavA8K8O8wUSAfp0VVlvGVZuWVqGj48OHi7f7776cFCxaIQPull16i2bNnU0aG95tPAdGNUzLFW3v/+WW3KOvrlzxSBNey66z93rR/Ldol5rruLqhStIukUrRo/DQ8PZqenjPIqf2B3PyCm7C8dt4w1V4gfIVsYsNlsLwSrrcSe1sH/i4uJJxZnJmenUjje8W1aULo2RYG9Uti7ffzutK935OycK6wueuEvhSjUIOjQ6U19NOOAjF60NHoN74AlX+rs02VeDsIv+mB/QQIJdj2Snew6MpbBfg25fPUJ9HxuC7OusucirP7ov39iXIr6pza3sEXf7Hhxpgb68uceS3nbTeMA0AzXmtsOlIuuuZnJUZ0Wv1kz9HkF3dw5+dfdxeJJIxSwbUao/h+319MDy34//bOA0yq6vz/L8v2XthlKcsuHZbeO4INu2KLscWu2DUm0RjTTPIz5a+xG5OoMVYs2GOviAIigoD0trDALtt7/z/fs3Nm7w5Tbr93Z97P88yzZXZn7txz7znnbd93i2j5qMWxaCaJMdGmOiklN7+6gXaV1dGvFo0Imm6tBayNA9Lida2vofjFG5to1d5K+v1JI+nE0Ue2pYVS/DVz8g2XK7gdW0OOEDk755xzxGPr1q0sduZCuibltm7RaWV64de7y6m4uqmbEJqbcCItFJ5Otd7O1LhoKla0LGCMGQZIgUNXM0TM3Gdc99YUuQ5m8OKzmfH57IxcK50FcIBIldJQVBqIXGMjeO4kfeJ2vsAhgM3C1tI6MTe+dsV0b52/5FBN51yISHRPrOGVxrVZ0bdQEedl6w/Qi2uL6dIZeXTtXP/K+HKDittBrUqushWXnW0YGWfTrn80aYAogxjjQOsyO9LCn1i5l5bvLKc7jxtOZ6hsodjl1DRm6Mn70EzhP7Wt+IKBuQrZLVhfUHqEEiesGSh3Msojy3dRQ0s7nTe5Pw1IU592Ls+R2cY1AlnYb8vWrWZ1MVHbyUQroTJax/VPFY9wxzHX7YgRIyg5metNnQCTUiBVYl/lWBnNUE6uvr1Tk1yWFu7WVC1Jgac3+LbSTlEzRj+o5ZXCI3oWVmyKjnvkKzr18ZVU12x8YQ5YXxbiWhyclSQUz7NNVAQNRItH7Eqt+J4RlIaRlg2oW0RlvimqFIa1nE9eXddZ0qFkf2Wj+JqrYewO1zaJaDgiLmaD9lXHPryClixdp+rv0d/661vm0YVTzVG7RZQNBMriUaNODsP8jyePojuPH6HaSFZmdAR7bWRn/fqdzd7MK8a9qGmxhI366eP6CQFTx2pXLezgUK2j1Zjechxf6rwt/cwzrmXk2oiA4tOri2j+A1+KlHUzP68U0Xvh2/2a9xMJJmcAHdnn2l2BA7O6PIQr7rKKGFtYvbeSbntto/D23rt4bMBIG9JH5UZcmfrt297FbYJmViohBgKGMoSrILARyoMuWyr8Y8UeunTGIOF5ZfTz2LkTxMZai3EjQYaGjJLKmmYzURtBCNTbWglSaZ9fs1/Usl4zp8AWfQCjQFdAZhbgHKSoXHLmDskUYmZ6PNy479cXV4uvMwvUiWcFYt3+6m4/43V92VlWL74O9jjN1LC5pFYo5hbmptAsg8foC5xEKDuREYRQmJ3BcOWsfDp1TC4VZCXoNq6xmT9+VI6m95WRa+nMCpTlgZTFXWX1dOpYpCzab5Ax4aP8/7NjhtFPjx5qaYChplG7hoFZ7fVkWaCZpX+yXAT3KDoboPOMVryZXp7PaVYnDSOOXbOFIY80rntGGUttiMh1e0eHmH8hfIkUcewRwhE2riOQTQdrxMTmb1JTTsrKSUJpUEsv5oT+qUIcJtUClWVzItf2KSF+vqOMHvtyj6fFTHCDYGxuV60JG9bGGZadZHjhwvyuZ5G3s4cwygiWflcsRLCMGNeoS8PGwYjglFoQdZycly5/UP1/6I/sr0ey2rTka5auF98jImvkHsPif+HUNvEaUARHC72VeyrE9+dPGUBzh2TRrvI6r0ikWszcDPqClEazo01aQB11oFpqM8WWfMEYoaxC6i9QgJKCOs/mOcllGVfMkUgHYGt74Gvls+2HKToqiqbkpdleFmSHKnS153qVnTHUgHpWOFH1CHNZnRaeHB8tSkKwBunNdPZ1EJsl9gljX86fWo3rJK8wpLkZcFaUcW05VEt/eH+rUO6+zyfAZpQ6FZHrC55eQ4jbvX3VDMqxIVvPCXh1iUC+3Vclvk7xI86jrLnGhPqv8yYINU6l4QFBLrBodA6dM9Gc2kYzObmwL00flE55Gfa04epeMxt6AoQS+9Wz82lkDpdFOI3VXuHTxubS1Lx0Qw6AI1IkDRol95xaSHbyqM0CM8pNCKLXvaP0bwzRixUPnHNspOHYuGXZBpHRs6aokt66agbtPCwj1+rH2KzNoBnRptV7K+jVdQdpZE4SXTJjELkhGolOFnACY+OlpaMCjKvmttag9Zy1GlXIGedYOLxPSAfZL9/6QThU3rhyOvVzmeaGGXj7vWtwhl4205z72Iq0cEQqA2ktqMVXo8SsDAcZtdYzP8j5Vm3GkFpk1psaoUa1YN1B9lT/RnMNWzgnZAlccgDnJUr50DYPwsnoUc/GNRM2bC3prPUdPyA1aJsEGNQTBhxpgEsV3ipPOq3bONsBg9/b51qFcY1o3hWzWCXfLD7bXiZ6sc/IT9espml1/TEMAzXGwcXPfCuEse49Y0zAzAfvBsLGcgen2F1WLz5vTnKs5owCpSgczpWeaBbG4osdZaK/LlLLcSyoSUarQnnNIOqyak8l/feiyfTdvipNzjIrdSHqNW6ID1Y30YdbS0XbxUsMvjccDki7HpgWLwwjfxtUNdkc3+2vprve2UxTB6Vrcs4gKwPRtkBJEhAFkucn0msCewKhsk4wnrIeO8GBmlT04P5yZ7noFqK1jEENSKGV90mCwS4RbkkLNwNv5NqbFm6OiK2ss0ZgSWvG05zBmcIBO6qveUETaCNZEQDwrj8mawXIlPBQ2Q5ZiZ3Gteh1faSgeFjArtsIRKb6+BPIgELi8SOzg04QMhUKqdCIwg7P5gist71RD6mLCSdW7CqnV9cfENFArca1b+2WUyDlW/RrDZI6HetR2nZr/aGZXL10nTgfz188RXPUv7eizlvvudpSUkt//mg7je6b3K1ue93+zqwfyRc7y+jkMX1pwXD0t3ZHLakUCvLVxrBa5RbnRqbjA0T8/RrXXhGowJ+9XuNnUOovBEP5GQNFVpieg1IUy2iLQj0gu+Kl74qFEWyFca2cH5xYo5C+jfIXE4WqvZkpZXXNQo07XUc7KOlQkQYnjH/M1UYj7N4sAR1ZLWjT6K9VoxHwMSHUBwNbqSlhlDgLdYlOHJ0jnBzBnOJIR6cS9LrubKMXjvDqEmHAE9YYRH1w8kBPfSQRbTxYQxsPVIuIjDKCffnMQaK+6YZXNtCdb22mpZdOJTdRUd8sBH3S42N0Tdx6aLJRJIrpjkyXk7Vpbho3iJAhUwTtofxlgUikxz2YqJoZqcTYBJ742Nei5vfZizp72VsNVKuhuP2X0wpFDbPViqPIDMF4Yp4LZsAFA2IrAOOm5Mb5Q+iE0Tmi9vpPH2wTbbn0tH2yNC1cRq5VRpsSTEpnfGdTSbefA6VVju2XQrcfO4z6pcaHNILNjphJJXNkNzjtUGPUzZ+PLN8tHEBQjvdF1NZ7NDOcEHzyOooscnjCUYj+0jCytahFQxPiX1/tEWVJEF3TC+Y1K+rYf/vuFlpTVCU6AuhxSking9SuQI/zpy+cbPi45B7CDj0StSn0z148xfTXtSpzCoG33580KuTfIXKtXGfDEXdcQYxtKFtahKrhWLGznB7/ag+dMS63m2GAyVamQbstXQjc/9lOentTCd04fzBdNC3Plvd0SwQ0EkHfcFDTqL1MAZvsUTnJlA1PqgWs2FVBf/14Ox09vI8q41qmt/k9Vs+1hShCa3uHLpVNXKciQo7JP8h7mQmMNqTbqe1rimOU85TeulicKxjXzTpFDcuQrgYPu49xjc0uxILwgAGIcdPTT9msNEZ/4JihQo76cDXI6LDRyPV3iqj+SYU53vIhX/IzE8VDTTqqmUJKanpwM+4C1+QHW0qPcHL5E+9zoq+51W0/YTyeqbK3tb8gitltoczCSPtMgC4SGO5B6er7UKthWl46vXP1DG/pjxbgEIYKdlRULxqjEK11I7J0CmutHuewUbI8+y02rpmwAZErKHzD4+vPuC6qaBApkTA2IDYAID7gi+wJbPbmp6f2ufamhXPk2nagPqp3oR7VN0XUzFqFTFUMdS1K50yw6Ivy2sLfR+u495SbBruu1a5esO2aootAb5pfV39cfXNAaV2T+BrM6XKBgb7Q8PDftWiEJe3fzp00QDzUkuRJjzbSd1YpBvTMhZNppMG6QxlF1zr+6GGNciWo6Z9UeGQxH0oMvrp5rtcoY9xNqPIJec3arRLu9lZhcZ7zYXQP9N/VRbSjrJ5OH5sryjzMNq6VAmJagP6FFSCVWa/COnRfbnxlg9B9eM6CaLMV122HR7fALEc79sEdHaGDTNJpzWnhTNiAzcr/O2NMwOdRQ3jfpztp0ahsb/Qoyye1+kB1I/3mf1u6KYdHep/rH08ZSAuG9TFVzILRGLnWuVBbSbyKPtfwHMt7LdiiBMN72eXTxPWtt75QGrhYSu3qL6l1AyrVnPWIyihLV2BY+0ae1XI4QOTaLGAMIGXTDSTERpmSFv7GlTNExDlUOjoiPKhVhWosBMv8AXE1PZlRcLAdqG4KumnDBjqFnaA9AulsDOQk85ZAOFBvrVY/wAgIYmworhH31Pj+qba3gPx6d4UQKET3lUlkonFtwCEeiLOeWC3msP9eOMlwCzI9yAwgo05K32DXja9+L9ahf5430bTXxR4iIyFGrM0twrg253WRZQLbYPbgDLr/zHEB/w5tfJfMKRCOiHDFfZYR4ygyUgDP/p7yzhYzA31Sb5TRLzemhXsjZTb2ucbCp2XxY8jVC7VZqNnkqI0mI3XL9140Ur5gVypY1zlQt+moNyErxmjHgMqGzmNI99SGhTNJMdHea1RvuQHA/6mpVUQd7XUvfy+U4N++embwmmuNEUkZEZM1+0zPRtl+0F/6KubDu44f4Vg5ltWR632VjXT9K53G1f+u8X+v6HXqalF/NruMQr6e3lIUtHyC41V5PcAhijR4Iw4FGIfri6uFcThLIWSpBrkXNlpe4+tcwTVg9vUF5+77184is5GO8fgQ1vqInGTxCGfYuGa6ITczqIXYW9EgvveNxuamxImNUUltM43r577aErng2Rm5ZpxDqt7riVx/uKWUHvxiF83MzxDCMWbT1Tc+8LXY1tFB4/qliuiM1ana3hYmNkbuuoxrdc4ur1K0g467mqaWblkRVqncYyM4qyDD1LTWn762kbaV1tLtxw6n2YNDbxBTE6Lpk+tnC8eq3kwBs8t2zpzQjybnpWteX2SJSI1nk+fLyt0V9NamQ+J1taTOM84g5ynMHHD8+GpSoBb7tHHOZYAYLT+xSsvFrMi11DExex6UjlNZXqiVC5/5lnYcrqdHzhnn7RAiro0WY2Oxem8FLVt/UOhFuMG4tqINl5XI8UzmNodsXEcaUP++8sV1lJ+RSM//5Mi6EJnSh7Q9ACMaSoxKMNG/ctk0ESl0YwN4rTWeZvD17nKqb2kX6S6BxFcYaxicmUhPXzjJb2u5UFQ3tlBxVSOVe/QFzEYqvAbb5MCoeeJ8dSlfUICFEv7F0wbqSn1zQnhP6wa0T1KcqKnTM56S3eX1VNXQQoMyEihDR/T5V8ePEKnFaINiFT9/Y5O4Ll6/Yjr1TzPPuC6tbRKp0ah9UwPSs41GpnD//L+Pd4ha8lDqxGo2/uhaoexcYVYt567yenr3hxJRZ8jGtftRzlO4XqQ6tFuYNihdlOoYbQFlpIuElca1zAYzWz3bqIiizPZSOom9JQQGPnON/Lw65kP5meBIx/xihqMyWGcfNyIj18kqzt+Ow3Ui22DCgFTHNBOshCPXEQZuVkxMre3+JyDfNLxAIha4Gdx6QzghMvLA57toW2kdPXjWWMpK0ubxZIyB6xDqzXpo8rNIm4msjZYtY4yybP0BkTFycmGOLuM62qOOnpZg39Sfl5Eg1FNR46UGGMQ3HTXE0Hve8+E20erlT6eMpuNGZmv+/2DK7maBzSA2v2bPU3LDKmup7erT/v6WUjHGIY1rhbPFbKXaZI9zOFBaOHd16FlIVeNAzrn9VQ20p7yBclPjaEiW/fWbiFYmxpqrWK2kSaczFAGRSQNSQ6ryBwP3pryPjDg6/YFsyMtm5OkeM3lelM4WM4RspVNOjzNB6WBpbG3zCkW6NXKNDCc4kO8+aZRYo02NXMeG/uxXvrBOnO+XLplKBVn6r1O3wsZ1hCE9YYFqImTkGhHre04t1C2c5CSj+ybTeZMHUGGufTUdvGnrmVg9bujl+8vjhpu2OTG6gcBmxkp1dH9cOStfPOxEbrrcpuJrR0qpFCaTtdRqeOiLXSKD4+rZ+bo25HITnqQiHVBGYWRLOX/t55C+DdU9OGW0RNXlpjiQcS2zmaxQaWfMB44XlCzAuPCnBfDZ9i4B1j+cPDrshkBvFxK04nvcoAAW5hEpB6InkhuqSwceZq7bcs7X00briEi9js+rNIDRdtKMBEYrjevNh2qEo17ZncMoWtaBlPhoYVzL3uLhBhvXEUaTJ4IW6GZVpragl2BPZEpeunjYid70Lcac9nJPrSwS4i2XzBikKUVPTQssIyBNdnGIPqU7y+ro+pe/p74pcfTk+ZOC/q0ZGwi3g3Ru1F3DIZGk0/tvRMUXG4T3NpeIsTtmhPaot+ZeoyYa14g2odQBaMlOQPsq9GhdPD5Xl3HtNehVjJeaVN/fv7dFbPyg/KtlE46IHTIfcC/5g52gPY9gzhWna1IR+XtuzX6REQT1Y7Pp+nz29/CWUVw4v9xW8+tvv2WGcruRSD0cQdfOLRBOILPOlxSks8L5b0WGp1wHklWsA6jjL1ak4ocbbFxHGF01HP5vVvR1hfqmGs8TEzxNibEHbDv+sWK3iISdM7G/JuO6yQX9yaHMX1rbrEql2erWL27g5XXF9NiXe+iMcbl05/EjjIka6tg4HKppons+3C5EbSw1rk2qi1Qi0sw9jpfUeHVp+EqBIb01kF3GdW9Nqb44Xn/VDfL1EjU6V1DGBD2QkJtylxkLjD68zhKH5m9cp0+vLhICTlYY114BSgeuVwjXfnHjHGFwmt1ZAhF5ZMrg8w3PTtZ9XpRZL/mZCcLRLpXSjUSu9WpQXDpjEJkJsnzy0uMDOgvdljk1tl+K2I8NSI9X3+XFIx4abrBxHWHIjVygemlMKk6qb5q14FY2tBDWA7v6HXoFNnjTZjtY+LFZhpEaTJU7aNqdReMGYRMokOK+mzMky68B3azBMWPU2/zFjjL6f5/soIkDUum3J44iO3h1XTE9sbKIjh7eh25dODTk39c3txtWCzcSFfaK2phcZxhoc2NmVwOI3QFcZ1p6/0qHlFRq10qdTAdUMWa4X29ZMISio6L8OsIQfZe9YhNNLkvyRgLZCdpjePDznSKL4apZ+UfUhkpHkmOtuOQ8Y1H5CbREbj5qiKgp1wK6vVzw9Bqx/nx43Wxd74371CptHQgunv3kN2K++PSGOZr+Fwa03G8pnWRGywKsrDHXC/RC9GiGqKFLAM68LLjLZ+Zr7/LSyJFrJgIi1+HA13sqhFgD6vWeuiB4mq1ZcETEWWCowLjWakylxceINNLMRPVRPq0L9g2vbBDff3TdLL/RRC2p6XIzp9cgQ6rf/qpGyjPYL1vrnINosFpFdtnnWmuPY7OiwrIGzOw6w8DHaN7mBkKVmPfgWNQSbTIauZYppGojPudPGRj0ekEWip7IdSg4Lbzn8en2MtEW9Kzx/fwY185Grr0GSluH6eJ8YGifJPHQCpxr5fWdEUEjveutQjrN4ETTet7a2zvoqKFZYuzNNvzfvGqGiF7r6TABcJ2ifdmgjETLnbOm6ZI4lAWX4lkrZLZAuOHu0WdMJzsplqbmpdHQPuGnzmdlLWMwsDhwWriz6G09ctnMQeJhFdG9owiXIxztEDlJ9ZMtpWWDaDSVWK/6rFkbUDV4o5aGItf6o8LSk2519OKiaXmivnx4tnkqxwPSEnQ5FOUmFQ4qvWrhIMMEJ5U08DGLaxXUROTpihe+E/fay5dNO8Ko+MWxw4USPWcY9RyCpa867SxRvi/mNydqo/2hTI1G3W60DifVG98fpNVFlUIsbu6QLFOPTzrN4ETDmqTFSMaa+rczxpDZwMBHpqORbMdfvf0D/XColv6+eCzNGeLurjFW1Fy3trWL8dEUuWZBMyYcOHZktniEM3a34oLJ8NsTRorF3+poF+MfM3pcWgXqppBuG8gg7jKuQ2/MfnHMcPH3fXRKkTpRo+jdHKscm656W/3GNTY2MPQm6mip5W3HEmdNNoMEafLhcv/cMH8wXTIjT/Xfby2pFecZjgXfbA5vK7GY3qIHtxZgTO84XB/QqMDnDOesrbBez/0Y106rvyvfF9eb2dcW6pIhmgYtnFx/nlmVooF6louvdpfTh1sP0/A+SaYb13Ca9fLsnTDfmxGBfuCznfTJ9sN0yfQ8On1ccBFRq50aaMVlBk+vKqJ3N5cI/ZFzJw0gM8FeFQauWckWCDLNuX+5mIPfuHIGZYW46GYVZIpMp3H9eqZwcijYEmDCDmUfVTvABvDkMX1teS8meHsfrTXXdoCNRDDjWks0uX+a+g1WcIGcXg5kFbRpilxrEabzt3DjoYeumuvIEXWM1zhG/qI+WgTU7npnM+0sq6dHzhlH0wZl+DWu9ThXcK3JTXuDSe1wGGcJVtd80ugcGpWTTBMGOLNB7x3Vy3u9qc3M0cKy9QfoqVVF9OPJA1TpVSj3JLgXsLYgi0MPiMDKntRmg+PD/I51Efe7GS3KKxpaaF9lI1U26Esz3l1WT6+sPyBKps6d1F/Xa8TJbjs6z7kvB6obaVtpnTfF30z+clqhqa+HsUQmAu6DJBVz99RB6eIRrrBxzYQdXbUk4duuiDEnW+FPH2ylDQdqhNLrvKHmeufVGpdYiIb1SRIpvVbjRI2ifC+1tcVe48oCIR1tNdfWRq7R+qqkpokGZsSbNvbPf7ufnl+zj04u7EtXa1AvXjK3gK6anW/IoWFWGUdOSizdcdxwAyJMHnFDP+Js/1lVJKKBZ47vRyMtMBoYC+cPP87y6fkZ4uEUuN6w9giVfgscu0bUwqVxraeECKJhB6sbxfcFOlrzaXE6a43y7i6vp/P+s0Zkb7111QzTsm+2H66jF77dTxP6p+o2rs2OXDvdak4LdU1tXodTXA84Xqth4zrCuOfDbfThllK6anaB7gnE7didFo5N3Kq9lWJidXKhj2TQPq6lvV2zUFdRZadnWK+QkxrkQhMoqn7UsD7ioYYvd5XT+v1VouXQTB2RWav7emtN6/THwuF9aFh2Eg30ES/SAmqZIaKG6OdAjdcEej1PGpCq+f+08p9Ve+ntTSV04/zBov7aDEprmoQSr1bV7ySDwmF3v7dFODWvmJWvqmQhmHENMSEYv3qJj+7tMa6PfO3PtpfR9weqafbgDDauewh2r+dagcYBUmFzks1Pk/BmNakoGfIF+5FqndkoEJmSsQkzdBT8odcYxt9DBR1CbWqdMGooqW0SX420vUowqF3Rk43rWo8QaXJsb1UCddDHKKpsEPeOnnZsboeN6wgDKY9o19LWEb5R3S4BJXsWY7QJgTq5nrYSjDnAGNODHYI4Zqasr9xdIaKTP+kgXcZ1qkcdPVQ9lJmgrmtwZiINUJnSboah+d7mUvrrx9vpmBF96J5TtaW/DclKEg+rsaLPtVRehQq+XSDK9fbGQ2IzfpnKPq96BQjVgBZkFQ3+o0dO9g1mzBdE/OFQDTW1tFNBViKlJ9h3zStB1pFVGNHIQBuv3NQW1QJTSio9acjo362mRaQeFo/vJ5zamRrXIm9nFh+HgzxOvZ004IwFOQaMaynA6C9rxlDrXAvmq5e+K6aPtx2mE0flmNJ+t9YTuU5SqTu0rriabn51gyjr+O9FkyncYOM6woiEVlzJsdF0+rhcSyYkt0QDGXOww7i+eNpAId40JMt4ep3RDcQFUweKh52M7ZdKSy+daut7StVeK4w3d/e5btGldL6mqJLe/aGERuQk0zkTtWU0YYMs7Z40lQZOV6lAu992Nqg1hDNGT/aArHuUtftOC/oxxvjlccPp9mOH+63j/OtHO0Qmwl9PK6QFLhIINAsjziAjitqoXwYZFjosLlXpiFN7TozO+SjRMWxcm6z90hW5Nr9cZ19lA32zt1K0bjSDOkXkWpvOh3vXaCOwcR1hyBQhuwxPJ0B/wV8dP8K295OTvVUeXiY0K3aVi/TuKXlpwphTixalbr0cPyon6PPPrdlHr6w7QKeM6Rtyw9ETjEajoNYP6dxQM9XbN1ZuvPQYrh9sKRXKpyjxsDIaprUWXUvkWqtxvae8nl77/qDoH6vVuJZGLGrt1N5HcrPoLyX07U2H6Imv94rj+Pkxw0grMMqRNupPadyrLh3G61+4EUwoT97fMQ6O5yvrioVhdurYXNNLSWS03u7rVXZMSE9wnyKgnDN891tau1L4ZnRCGR30NZDeP6MgQziBJg7U3qUi2H7divH3ahOZtJeQkWsogFshdNrTYOM6wpB1aOFsXNsNR66dBwbRWxsP0fXzBus0rp27H9BqBdG6Sk+0IBhGNhA9AfTJPPWfq8T3H147S3Uk1MzzdN+nO6i0tpmevnCStca1BeUretPCpbGrp16xq3VWlGpnSJwnfdKfk6hLrV3f9uS+xWMDPseR6/DC6VZcAI5ROHahg2G6cR3AkLSa+UOz6Ktb5pmW3uyP8vpmIYKFmm61BpnSGelrcOJ1BqbHa5qzt5TU0l1v/SDGTzLAwBjOGZwpHmY6ljITYygprrfru+ogy2HukEwaqrJMItbz/m7s8GIGbFxHGFammbgJiCXgs2KiRUTFjgWeUw2dw4g4itVp4YgKQiwFitD+WmlpES0xapD9v092iFSwy2YOouNs6nd/uK6Zrn1pvYgGv3TptKB/qxTiMtLnukvcRntU2C61cit6s1fLtPAEbUu7kRpoGbnWcr6OGd5H1OFPzksL/Bk0bLh7kjON0can2w7TV7srRNse3znLjvlbtSPPgu4kJxXm0Jh+KaIuVSt/eG8rrdhdTjfOH0InjA6ePeUPCE1pMXq18ut3NtPKPZX0uxNH0kmF6luZtgS4h9HbWmt/6+tfWk+Ha5vF94tGdV5bI3Tqt1iBkdR+u4UCtbbWiuO0cCac8AokeCIH4crxj35FLW0d9OaV0yk31Vhv4FB4U9MsTC1mVE7UGo1OCHthS5RgobPpyVVFQvDphnmD6eLpeYY2/EY3cmhDhJYjcD7ZBXxbaDsFYGAHi25Kwxb3kpFojZG0cK9gjsUbdqPqtv5A5AzHrTXibmSjIx0iWtp4oe1doNZ3MiUVZQFmo6WnPOMONh2qoVfXHxBzgq9x3WVo9QpLNfNQJUXBwH2EDBx5P4WL5kRaQjRNH5SuW8RUgrWovK7TsL5o6kDRjtBohgDWVTjS8dms7jZhFLlftUv41xc2rpmwAikbMKy11uT1NDC5tbS12dLrmtPCnSeYQFIwnr7QepXKUMIdWlJVjW7knLhWle+F+1HWjftDtjAxGjXWez1A+RpOOfEaFp8jRG1vPmoIDeljXh/Zf/xogkHlcu1poN4xM5BpYGZaOOq1P9xaSudO7E9n+LT0euPK6eKayE7WL1rE2Iu3NtSPEeAGZ4nZ6bWmt4DUkdqNOvJvi6qEcX/UMP9OMKN0zTna9mjTBmWIh1FgWMtuXmYY1uCTbYfp9+9tFa3+7j9zHLkZs41brJ3+dC5Cib+hpRo0MqzOMLWb8LawmCP4v1NHR8RZwcRR19xmS20qFHZ/ccwwURvDOENXf0n3iWN09bn2f2zSAaRmgzhvSKaoBdbrHHOihEFZDwnjLZhhX+9RHNUSBfVHbmocXTwtj7KStN2TyvnC6nOEVjl4uAHpANIzX87Mz6CPrpt1RN/ZUPWWaH2D6LRvhAfzNvCnDq0GRI5QQylb6yjJTHSfQBOj0nj1c216HWEOpvnLCKAVIpM7DteJzKqBafEUr3FOlNmJeo7r++Jqen9LKY0U6egWGdcmOyVQ7gS9jCF9kujuk0aF/PsDVY3iK/ZtZtW0m13qs+Sl9UKHBJ/H7AxMnH9cu1oM4mDAqfDhllKhe3Pe5AEh/x7O2Mtm5Il9Tzg2Bmbjmok4b7fZYHN49kR3pwCFO+jHCepcmAIXykOspW4wIzFWPIyXMNi3GYVHGk5p2F6hNh0yxdhoFLRfajzdMH+w5v+Tm/VIU5Q2EsXA+AZTdPbHWxsO0YNf7KKTx/Sl354w0tS0/GB9kZmeR2yQ8bx6Tr4QaXWqx7VV2gmS217fSPsqG+nfP55I4/urF+pUOihlqY0WtOiAOFG64w84r7eW1qmOgErjuq+B1ltWd4CAkwNjocFvqRqo2+NhFth74VhRq692/JfM1b5G9xTCxrj+7LPPqKWlu9ruiBEjaNAgfb30mJ6NlQse4z6SYqO7tYNQA9LlrnhhnVgQHzlnnObIgFm9L9MTY4TQmRUCToE3TfalYKHGGucYnz9UfbFXTMykFGOtyOPD2VG7STCS/ryrvF7Ui44yIYK9u6yebl62QUTtHzt3guZyIehTWHUPBDTmPSnlSi6fOYgqG1pFSy0zI2Koh3xk+W7x3jcdNUTXazP2E6wU5vwpA8lprFD9P6KMR4czVDoc1HSh8KXRDuNabynXqiJ6alURnTq2L92yYOgRr6d2HA5WNZhuXHd1QTCeQYeacDucHGZR61m7rRTB60mExVmora2lq6++mmbPnk3x8V0L8tlnn83GtQKkl5z8+Epxoz538ZSwvgmsEAsKxP6qBjpQ1UQ5KXE0KIMj2E4wIz+dHj1nPPXR0KMSCxdacYBoCyO5oaKCWnqyowf0e5tLhfGptR+xk61dcA6EcR1iI4V76PRxudTfYAocUpRxrhCJHpylvqY5ObY3/d8po6mlvV13j221rCuuoluWbaTRfZNNqf2HcNH+qkaxKdMKrge9aYefbS+jL3eV0dS8dNUCTMFqvE8Zk2uJMQbj+qXvitm47mHE2biW6+GKmfkiDdZMI00i58sYHc5QaVxX6DCuvUadhcK3etsl1rW0ibmu1SeToUsgTd38d970QTS5Xwo1m1hKZmaqu3Kt7AnGtcwa1FLOU1TRIEr5sG+2y7FrF2FhXW3fvl1shB599FGKi2OhkkBgc1te3+LI5tqpOiizUo6C8f7mUhEROX1sLv1qkXpDiTGPPslx4qEFuQDiUrEySmlm+hvqSB/6YhflpcfrMq5RX4bUa7sjwyidSFORso8a5F8dbzyKW9XQQov/vVp8v+rWeaoNZSzwx9rUokzrZjAUsqbf7k3KxoPVtGz9QfF51BrXXanb7bYZY17xqzBf+yJlLUewYHNJrdjLoH2S1c6wQORZ6FA30joOGSxDshIpV4fR7+0qY2EXjYkDUqmlrb/mdPdAZVRdDjt1cwquG2SMtZqY3RhKvFQLyteQr2t2PT/2rdgT3KnBwR8IqZWhJWh3xQvfCZvkuYsn0/Bs7e3m3ExYGNfbtm2jgQMHsmGt8mbt5XDrCjtAM3sIW/RJsl7ApisaGN7nNNzwblws9gpj83Dj/MGUn2lcFVrrBsKXx8+bSE7w1AWTbH0/LQrlTmG2oI9U7dYjBoc57OHlu8R19dOFQzU5X/Wk8gfahCLq/u2+KjF+6O2rJ6MkUORanmeep3sWc4dkiZIF3+saEdlLn/tOOEe/vnU+hSNGujvMKsikWZdk6npfO9KRFwzvIx5a6equ0cu2lmh2rc9K5GsI578FDkFk8ny+o4wGppsjlCbbe0r9G7udEW4jLIzrrVu30tChQ6m4uJh27dpFAwYMoIKCAqcPy3XIyAYmAKe8vHZx1eyCsDPSmOAb/Hc2HRIpRhdNO7KXtD+aPaIjVkeyoLjaqbrqn5++tpFKa5vozuNG0Mi+yZb2uXY7UJHGZ0RqmZE5SjmmiHip3SRW1DfTmqIqocY+Pd94uxe7NmLKljtSJVgrz63ZL75C7VWLcQ1BKa1GfaDPjpYs1yxdL76HAnmqjnsTmzv0r/dNT+SWiT0TOG38OW7c0IYLrC+uprX7qkTf5TmD9Rmz/hAtijzTvN3ZFrJcw43pyIH2W1qdla9/t5/W7Cyj2QUZNCUv3ZRjw7xz/pQBprS67RJ27N0jdIm6ujyo/+xmr4FuImwi15s2bRJ115mZmbR+/XqaM2cO/e1vf+tWg62FaBdOKkp6eyYS+VUNUsAQ3iK3f76eRItHyjEhtrdp51XP+EYybc2t9OePtovvL5yep8o4aPM0gIh14H5Qji/Ss1Ari+MJdRyJnpQrGIzheA//8YNt9Pn2MlFecZaOtHdJb0VUA0u+2nO1p7KR7njrBxqcmUivXjnd0vs30ePhbzZpLJs98xAMEa2vh/OFM4ZXaO0IfR0qafBsxJPiolX/n7yOfT+7MpUbf6PnvJwxob94+NLS0bWpNHq+eX52Hlkpa8Z4GhnfNfsq6ZEvdtOZE/rRUToisYFo9rQlBInx+u4Fvbx46TRhYKPExCo9Erw+RB2h7q2lA4Z3v4VjU5yT5PhokamYFBd6/sO4frqllJat3U9ZiTE0wySnSE5qPP3s2OGmvBb16iXq5vXM52pI8M7B2uZ7fyDjaOqgdGGopyfFqH49WcKEMXXyHraCsDCu8/LyhJjZVVddJX7et2+fEDN74IEH6Oc//7nm14vCzZ6RRD2B1FT19T5xdZ4esrHRPebz6QUREEzemLit8vxJenlePzUp3vTzqmV8I5lkxXmKTYyjdBWLdWx1sy33Q3VjC+3w1AaOHZB2xPjKzUKfzKSQx9EY1eWd13rMWABPe+hL4Uz490+mqjpHZnHHq9/T2r0V9MuTRtP8EYFrmqs8au95OSmGxwSfE4t9QnI8Zfj0Ug74P6X14mt8nDnXRLD7N9tjHUCYx4z36pqH4nS9HjY6yPyIF/OY+hKGVmGWE2WnJ6p+38KOXnT9wmHUN7X7sbbXdvWm7tsnRazFZiHHNiEuxrT7nedn6zlQ1UBPLN8l5ulbj+uqDY2v79zPxMX0tmz+VjO+6SmeAE5UlKnHkdDSRjcePUxE9XAvqG0xpZzvT35gOR2qbqTXrptDeSaUJZnJ86v2inXhuMK+9M+Lp6r/R88amJbSfb+F77+56zjNmT4ZaQmu3A/jmL77zfGWvX62x48JR70Zn//Zq2Zp/p8kTwvHmPhYR+9hKwgL4/ruu+/u9jPqr8844wz65JNPdBnX7e0dVF3duRC7FXhjcNFUVzdQm8o0mNKKWm/NWUVFHYUzd765id7ZVEK3LhxKF01Xlyasl5q6zg1he2uraedVz/hGOsjIgGjfvkPV1KHCmMK5zUiModS43pbeD1/vLqclL66n4dlJtPSyaUeMb5NnkW+sawp5HA31zV4RrLLyWorSkDqNRfT7/VXi++qqeupo0q4iq5edh2po88EaKiqpoYrswJu80urO3qNxHe2GxwQ1eQj+lJbVUmKHunuorLJz3o+mDkPvr+b+baxr9JbrmHH9dbS2CXGlDJ3XM84XhIUPldVSci/1ZQfVnmuyo0X9/Jfci+jy6Z1tlJT/U+IZfxxLVZW5a7BZYwt4fraPPYdq6J9f7BKdIC6dOsD7+8OeMYyJMn8/o2V8kTUFauqbTT+OS6cN9M7XemhpbaOyumZavb2Ukk2MqptBi2f9qWvQdt76JsXQuH4plGxgH4vxlcY1xs+scYNDA6KjcIhAxFOrQ8ROsN8AOFan7IHenuzB8qp6R+9hLeA11UTDe7xx3dDQQF9++SVNmTKFMjK6auSgGt7Wpl9i30wFQSvBRaP2WKOol1DVRMuVnvL59BLj8W5iArX6s8qaw+hevUx/Ly3jG+kgfQrGdVV9C/VVoRw+NjeF3l/S6W218hz39kT2sIj5vg/GVylcEuo4lFN6fWOrJmXoekWaIeYCO68rKSLV0Nwa9H3L6zoNtbS4aMPH11mD10b1aNui8rUaPKIsyDIw4/wEu38TonvT1bPzxXG2tLQZ1sE4pbCveAA9xy5r8HAOtPy/bMESZ8I5q2ts9WYd6H2tHw7V0P/7eIdQS/7DyaO9v582MI2WXT5NOKTMuvZ5frYeOX8iC0U5bg2eLBez7lW949u7V+D53Wmg9bGttI42FlfTPA2pz7/932ZxXtEP3qqWrdgvyf2TlvO2ZE6BeAAj51vu22JMnA9QJ3/io1+L7z+8dhaledqhuZEoxTE3NXdmedpNrMdI1bJG95Q5uscb17GxsXT77bfT5ZdfTkuWLBG/g1H98ccf04wZM5w+PFcxJjeFnr14CkUCdipHnlSYI3rVorUE4xydhmaL68QxQl2LXuESFd5Q1Jk9du54YQhpbaenfH+7FZO7VEEDR0SRkgznCEBGgVEWj+8nNlCpntQzNci2WHaIJMEZdMWsfHILofqxB+Khs8cJMRvZV1cN2NDtq2wQ2RTKFixGWg8pr6N1xdVU2ZBwxPyAaBLTs5A9ngOpvzvdWs1sYSgJ7sMDVY1CoFBvD3rsS97aeIi2lHRmLaq9N9/eVOIVN7S+FaF55+2qF9eJgMr9Z44NWcdthWgbWnrCSO0sS9T+uXAu/u+DbaJ+GeJoT3y9l8b2S6Ub5g+27Pz38rxv7yj95ZMHqhvpR099Qylx0fT21TNV/9/C4X1oSFYSDevjvrR8inTjunfv3nTbbbfRn/70J2ppaRH118uWLaOamhq64YYbnD48xiGk8WBFH1V/rULwYJxFGqd2jLlZx9Xa3k6ekmtVxjKibnqVTeVij3tDSzq5GXSpggbOJkL6otzsJJrQq/kaT3RDC00u2bA7gRwj6eBQC5wXWhwYsg/5OU9+c0QfcjMUvd06DzDGxxNpt/JagaPkqln5pjjijBAboK+6UXaW1dHFz6ylnORYTQaLkhEexxWi12pRztFWqoXHepwmZjrDNx2sEa+HtoQZKiPXcTq7KwS7Xuvb23TNP8vWH6Q3Nx4Sj7uOHyHaEuppraiGhJgoWnHzXOEQMJo1Jc95dJS2z3za2FwKV3q8cQ3OO+88GjZsGL377rv0+eef08yZM+n+++/vlibORBZ6ozBMzx9ztcbBFzvK6L+ri2jSwDRaMnewI44eREr7psQJo8LqtifeqKwDhqOaNikV9Z01eJmJMY61CuzqoWrPOdpeWic25cP7JBmOlj/w2U76ek8F/WRaHi0anaP5///fGWPE1z5JoUsqjKK81nFdyo12dnIcXTe3wNCGUgpY+s793+6rpC93VlBhbjIdE0RUj3EX8r6AExIRwWjPfDooI4GunO185keMBRFYsxxNaA8GUAcMYU01TjDlfWNlBo/W1lmSJUvX0d6KBlHygbVbCc4Vjl/Na8rWtGavu3i9ekUWlhY2H6rxfo/XAFYZ11hjzcpg866bYdjBJKKNazB16lTxYAKDPsCPr9hDc4dk0m1HDwvrU9W14FnfDxgpV61t7ZSfmWhZfRITmtuOHioWVWWaaTBKapto7f5qy+uigqUNYuF86ypt5SuvrT9ANU2tdOqYXErXELVxMiqrJnUyJT6azhzf74j+xHpBdBQpwhhftRuU6fnpdNeiEZSbYr2BCS55bq3YDL5+xXTqn6Yv9VNSVNkgIlS1itp6LQxI054yjUjiXz7aLlKur5g1SHWPU+WGFp9fbspyUuLokhmDyJQyDJ8N9obiGnp6dRGdPKYvG9c9COV8JdoGWdv8QzMT+qeKUp00jdkbevs5awH7kX6pcXSguom2H66jyQNDZz15+4dbnOHkXRM07tFKa5uppLaZOjxiWP72fWpS9J++bDodKK2hHJOdiUZKEks92Vsy1VpGmN2OdCzhmtFCbVMrVTa0iPUZafDhBFsCEQQuYvTTxddISSUzO1XLH394byttLqkVdT6zTeqXyGhngk+bq1DIRd3qiHHXZr+jW1qjXh5bsUekUM/Iz9BkXOO9ERV2QmQFG8/s5NigAmwFmYl0x3Em9Qglop+9vlE4T+45dbRqYwr1X3jYaTiISIsJGTYyUmJVpMMfcF6+vO6A+P4yDUaxSEX09NXGHJ1i4jHJDZ7vOZVrgaz/Z3oGynIZjCm0CkBFfTOV1bdQOvobqxCwtArMwVMS9ZXqBKPZo09h1Bk6syCDyupavCKvao1rq1uYwpg6dUxfytRoVHUZckd+njgN5YADMxIpiTpMF7vqyqDTLqhcXNVpUMue0UBe71bwpw+2UmVDK926YIjuun4jjvunVhXRf1YV0XmTB9BPFw6lcIKN6wiia9IM/81FQVYiHT28DxX2VRfFNEIk12n2ZOTipVUYTCuoH75y1iDxPkhtNJqJpWUDoQQR/fc86uh2g/RNu1M4Y3pA7a1wvDSZ4wSUrWX0Go/vby6hzYdq6ahhWaodVcgMkGiJsMDBhHUIDgFljWdlfQsVVzdSWkK0rki6b0RM6cyyO+WfMQcIRL14yRQxbshukby7uZTu/WQHHT8ym/54SpcqfLhg1r7il4re4Halo6uhX2o8/fqEkZr/rylIeZMb5nypF9LQrP0Ypg9KF+UOty4YSku/Kxa/09IRRCtf7Cinw3XNdPnMQZSban9aeJyNwsN2w8Z1BNEUQZuL+UOzxMMOuN7EHXyzt5L2VNTT+P6pqlLD7dpEYHG8arZ/ca2iiga6441Nwosva171pr32dBCJio6KouS43qbUXOtJz0PqJOoTB6UniJ7RViMdJWbUa0JQxshm7LPtZfT+llLKTonTbFwjWhytcV3pMq67PvvyXWX0u3e30qyCDHrgrHGkd9yxwcVXGNhxUm3ahDRbxhn8ZZO4Zd1F+cl7m0tECvXZE/ub9rpOfT633yfBzouWOf8v726m9tY2+vGkAaZGh48bmU0TB6YJLRWt/OLY4UfMrWaIewZCni+j64/MAtRqW8SrEDrtqbBxHUHYle4TaWhppcRYx+sbDtK7P5TQLQuGqDKu3ZBxgNrpjQdrhCKsWrTUlfUk/vbxDmHcYfzOnzLQRFFD9TV9r647QC99Vyw8+XrUxvWrqJthXBsTwPGeL0U0OhRGRHf8RS3McHglxUbTZzfOCbz+8TwdFrilFVdFQwv99eMdog2RFca1Gc5fZHCgJBAGX6hMrVF9U+iDJbOotcNavRocExyC+JzIVFHrUA027mnx0eIRCnTpeOTTHeL7s8f3E93UzeLi6XmG/r++uY0O1jSKNmwYe7RiswpZQmN0/YFDHK1oUdql7f2jTHl/N8LGdQThnax7gECCWZN3p7qotZ/XLR70SCdO40Rt57jtLqsXNViDs5K6bZb0HIMeo1FG9h//ao/ofXrLAnvrmz7fUSZqq5BVcNNRQ/z+TXl9p5hLZoj+pFaq+NqVzWBFGqNMC9crgKOnw4KMlusxrs+c0I/qm9u79ccOlvJpFJ6ney7Prdkn6obPmdjPWxvqlvHsKkMw10AY0ieRzp8yQAilGuUnz66lHw7V0j9/NEFEVUPpIWjR8jDiWD7m4a/E91+hJZSKeins6YKN+6PnTlD13k2eectNZZJiv9pBooPJv77eS2dN6EcPnzNe/N5tiu2+QCjvn+dN1Px/cWHc1YeN6whCXsCRIOiCFMfbXt9I4/ql0hPna7/p9aVROdM+iNEXBUQaH+4FOxbXS59fS7VNbfTypVO7bZb0RF/k32pN5UJt1dp9VRQT1cuR1Mn1xdUiuhOIckUrLjPQ0+/Y7myGruit8Q0UnBKt7R26I9d6oujeOm8dBv3lM4+swbfSYHJ7uisTmJe/K6aiykaaPzSzy7h2SeTaa6C0du/DbZSx/VLFwwzQiQDG9Zp9lSGNa7tQjhvmXTVBEBifo/omi7E3so9VznFmr/+YE+E4wOfTIh6KcqRT/7mqmyo6sLItpZnrj673j2HjmgkD4I2EWEKGA2rBdhOst7DZsFCOO1BuctRw84Ih4mHfsbUdcT3qERnU6212MtLT5aFuU2FcmxO51mMs2n2OoJY7Mz9DzMtG+e9Fkw39f7wu49pchXKzMgduf3OT6Jv+mxNGeluc3Th/CP1kel7YtXyJBPzpTHStu846teV8DPMEzi2zegebCSKLH209TI99uYeqG1vpoml51CfAfbDxQDW9ufEQDe2TROeYmObui3KOxViquS0RVX/6QmPznLKzAuYZs43XR7/cTc+t2U8XTxtIN8xXv7+obe6+NpbWNpHVOC0AF+cpUeXINdOjuX7eYPGIBMxKdwkFPNVXzykQiwP3uHYWN3tBA/X0lNFnLYrlS+YW0EXTBtKQPtpaRjlZY95VW+XfQ45NKaLbIMOkyDVqwFAWMrqv+kZPXdEwezbIZ06wbvOqe6OjYc6ckpdGr10xTbeAHbI5MN5y7pTvbdS4Xre/WmRqIIIkQQ9tPJie7DjtcF0mgvL9sfaY1X0C8yGMQNSzJqnsHx+IyXld0WoYfkmxgUU2d5XX0yvrDtDswRmWGtfIHIOxjLlfa6/rQDy5ci+t3FMhjjtY+0Xp5LUiaw3nFtT5GMtqaq2VINPglmUbxJ4djg4rMNKTW8nStfvpiZVFtGhUtqaSs0HpCWKs7BAPtRtOC2fCErMmjVDA63mphv6uTHj0NtdKIBEyr4K/hkW+MFdfV2Bvf1AnItcxwZ1d2EhiewWTVlmDa4TjR+WIhxb0jEe4oKf+Dcrkeltm/fqdLfT1ngr63Ykj6aTCvt3e26gDyK75n7HZOaeYP2YVZFJqfAyN7Wdml3TtKCPVZqj+S55eXURPr94n6q6NamQMyUqk1PhoEbXG0aKvMPCXxm5nJh7mnNbmNtPu0z3l9bSmqIrmDM50bJ6XWTy+xnIo6ppbvWVRMotr+c5yWmKhsOafTy0kVIkZPQ9wYpbVNWv+zMOyk+jnxwyjcISNayYs0VNvyfRstG6oH/5iF20rraMLpg6gaYMyLD22QP0csa3BpifZxFYggegyXHo5GLluC6i4S55zgb62TiE3x3YpSmNDgg1vekI0ZRhIh4cY3I2vbBBRk3/8SJ2ojy8nFubQjPwMcSx2IO8JmaIJkCKPtjiTVbYC0zL/v7quWFxnx43MMSUNn7EPb8sgxbVy7Mhs8XAaRGBhYLe0dZiaNaWnZCjYMT5y9nj6y8fb6fSxuXTvpztp5e4K+sPJo2hKXnr39/VEke3QIsG6UOenXCoQ+6sa6Nql60Uts7/0cLVpzrKcJd7CyLXs3qCWuqbOvx+YniBKWmQs36xMLn+Y1YJMbyuucIaN6wjijjd/EH2Abzt6qKjBCWdiZG9TiyMXeP1dZfViISrIMq7qyegHfc3z0uO9gjeh2HCwRihon1SoLbppZpnCCYV96dgg6Wv+gDDY9tJaGpmTTGM0CN44qQ0QyLmg3JCcMS7X1A0dDGWk5sFWR4RLDWgBdsyIJhqRE7qVmxk8+PlOentTCd04f7Cog9QLNmZbSmoN9URFrbvWevc1RZW0Ylc5jclNoaM1Xsf+auLnDMkUD6P4e+1X1x8U5whlAmxc9/zItZv42+ljhFPQrKwbAGMdmJVmPrJvMv37x53irp9uPyzKJnaW1R9hXNu5TmjVxkF3guLqJm+XAq3rjARr59s3zqWa6gYymwSDaeEQ/cT8JecuM68pq9CrVdLW3kGVDS1irVa7b+spsHEdQcCwRqQuElLl7Kq5Lqltoguf+Va0v/n8xrmWvhcTHGyYtWya5X1g1uYlGDJabMb1+P7mEnpxbTFdNiNPk3GN7D9sPpzocx8fjbrB3t6Nhy/9UuPpzuNHmPqeqBv8f5/soONGZtOfThmt6n8WDu9DdmJWn2sZJbGyJ2ogRw9SVyHMptW4VrsRNkvc0O42a4y1WUlQV27v6BACrShPcJLZIdKQ9eDVH7BgfUJLyC92lovAgJOijphvkVKcrLKmPNSxde37gtdwYx3qn5FEFQnR1Gry/JMY0/lZtKZI13rSwrFOIiPj7Y2HLN+fvLPpEK3aUyECE1rnbzOumX2VDXT2k9+Iz/zpDXMonGDjOoLoSjNydiGyA0zWswoyLF903dIOhNGOnZsIRKgnDUyj/Azj2Q1qNxC+QMAmkIiN1aC2yu7FsyfU3ZrlBJTGtRHV7qKKBnp3c4kwVs5WKWTkbe+o4339KcgXVzWKc5GdHGtIxClOZi4pzquTgn6MMZDZccXMQdRXIUj3q7d/oO/2V9OfTx1tyDCIxPWpIDPBW6Psi533yW1Ha6u3DeUgi3HBnC/Twus1poUjcjt3SKZoNTamX4owrq3OsNl0sEZkTkHo0ZBxrVMINM6iHvFugI3rCEL2JI0Ezz3ajj1w1jjL36fFo14aCefU7ZTUNNE3RZViU37UsCxHIwO+nDm+n9/fv77+gFhEFwzrQ+dOUmfQuGEDYcXchDRIRBSgIOuUwB36gANscMxqL2VHn1FZt2wkco16xsdX7KHh2UmajWs981+Xcd312f/vw2309e4K+u0JI+nkMZ0iZ3qAAxmv39ahUJeOYLG6ng7qUN0sPvjJtsNC/X7e0CzKTjZHkd7K61U6KUrrmm19X6NIIyxQuzO1c/6WQzX0zdpiyk2MoaOGht4raD23yOTJTdV2HRw9vI94gI+3ltqSEu5Phd/OIFO8J9CHtR8p4k7qrZgNG9cRhIx0sSFoHnIStyO1mAnOtsN19Jv/baFROcmqjGsn1bMleysaaPXeShqmodWGm1XR9fLGhoP014930DEj+tA9pxaa8ppyA6ZFwfcXb2wSolfP/2SKpjFxus9oV0Snt60p6kYctv4i12albt+3eMyRKsg2i9Ux1mJ2TbIR/rFiN+04XC+cAGYZ11Y6f/skd2orHK490ri+ana+UBM3ot+gFqiVY1+KqTpaxecMZcR1lj1FCZ2NYHx/oIb+9v5WWjA8y3TjGm2lfn3CSMPOUkSBzRIc09I/Xg+5KXE0IjvJe11p7SIijyEhKnyyatm4jiCs7O0XqbjZyxtpSOVPtUandyNvw+assr6FqhpbhBq2UhVaT/TFq5yrcUF84uu9tK64is6e0F9EWOwERtjPXt8kxubBs8YdMQfJ+jQzN3R6anrtNsDMqjvuOm79nn9pmGs5Fm9auI75b2y/VNHjFOUSvq9ndD71NazNfG3GfiA8ibkLwnkzCzJd5yyxQuMF7aRgtOR7UrjNpE9S5xqEemfMzcqyDvScl33nrebal78XY/uHk0bRotGhhUVDOd8umDpQPELR5HUKuseYU7ZFG5GdTP3T4kUE3ErMSsteMneweGglVnHvNrW025ItZhdsXEcIuHGNbIR6Isc8vEIoNr5xxXRRU2IFblrgI52udk/qFor2ju7K8lby0PJd9Pr3B0XPystmDjJUq+QVR9NokP1wqIZW7OoUL7EbpHqjp7F08h1hXHs2O2Z66vVEYu02wMxSQcamDLXSalXRzepzLdPR43RsinAd+l6LVs2nIkLGxnWPZeWeCnpqVRH9ePIAr3HtJmdJl5FiLL1WiexFbQVQpEbddVp8jJh7nRKE05qFBWMYx21UWdpbRmPBtYO5Bmrm9c2tlJkUK9qgqeHW1zYKRwOEPU8YnUMvXTqNbMuccqjErHdUL7E3aG3voEYR/HO/Mrpa2LiOEDDnY0LCguQmb52VILKHOg4rxRLsVJxmzBWw+t81M4XabC8HNxF62p5odSJ438tBQScsokjVg0PD3/jIyLUUgzED+Tll+mgocC1gke/8X3tqv0bnJtP5UwaI9lBGUNbrGb5GdTgjzMqGMstgWrb+AH2+o0y0uZO12/+5cJK49tLjedvT0/AXGXaytaDbjBQ9zrhAxttr6w/QnooGoViNTAEr0Vq6Y1arPrPnLSVYQo568Evx/ftLZnbLVAtGHbIIWtsD1pP35K46wcAYtDa3meqYcgO8ykQI8A69fsV0iiQwccCDaOXEgfqaS2fkmVZnxRg3DrSMt1qvslmbrxafzZceY2J6fgb97fRCzdeck62IsJnD++J+9BelkD1BzUwLQ+ojIgA5Ks+TcmNsVzRs8sB08XAD3si1lhr1Y4bRNXPyKTtJ+/yH8420VNyCsr+2WdHl3eX1tHxnOQ3JSvJef0YdGIxz+MtC8ToL3RS5NtG4hkAanJJJsdG2Cj19sv2wyHAakpVouXGtJ1smVGvAJ1fuFSrbtywY6ohxjbHC6+I9kBWQofL/amVplMV11n67Khg8/7cu20C7yuvpzuNG0NRB2tazU8b07RQztbmNpNWwcc2ELXLilIreVjC0TxJdq6PWhDEfKY5h1kJtJv5aAyl/1rLIoxYLD61IVWansiyks8vf+MhWUokG2i/5kp+ZSHefNEr13yvHJhLLPOQ1iGwfRPDVqLaj3EZvyc3H2w7TXe9spmmD0umRc8brvh/cGpFhzMOfzsTi8f3EvAEdC6cxq7xDycXPrKWDNU301AWTLDdynXLC+utHb4SK+hbhVBvbL0Wl/pA1hiwysIRxraHXtXQwJ5m4Bobi+FE5Qn9FqnbrBdfpvspGsXZY3Y6tp+D8rMQwFhEThqrKjLp0aaU4iD8g4vLLt34QG4jfnTjK8uhHIFVOHCGMGDsMXqfV0YNFd7o2Fs6VrMjjgk1pV6QI1yoiVLhWlT18tfLWxoP05oZDQiX//CmhBX38kRQXTf/+8URVartWRSMhtododmZijKklIjWNrfTKumIRFTp3knW1rIw1yDIN5bVy01FDemxJkhv0XO77dAd9vPUwXT5zEJ2haBUpnbB2pNt3OU3UGWWvrj9AS9fup2NGZNOVs/IDOrFDOdgbW4y3LgwG5pny+hZNxrUVpVGhQKaYGdli3vJIG/RregpsXEcI+yob6I43f6CspFj6+5ljKRKwYsHzpbKhhaobWyk1Llr01macAyItvz9ppPBGY6kONs2jtumLneXi+7tP7uWYh/5vi8dSq8cZoJayumYh8INFcaGGOls7+3prFRibVZAhNhX90swrr8A5RQQW76dG/RY9tm9ZMIRa24I7Zsxk9d4KumXZRhrdN5mevnCy7tdB1ODbfVWG2ofByTO+f6qm/3luzT6xKURqn1aRIX/OlitnH7lhNkPjoLy+mR5evlvMEWxc9zzcnokA8bFjR/QRmWxmYbVgW21Tq4g4ovWgEjvT7bVG/A/XNomWZxMHNBvqpHHF7Hy6cM5gShQ7BfORXS+kUKca6ppbHXcwO+EIamxpE/sx7GfCqZMRG9cRAibSzSW1lK2xD12k1eBqBQrQD32xS2wuf2OwtyFjDCysJ45W17pCbuhFf00bwnRdUXX/i7kWYw69sdHPG3VlWozrdk/Klp2CKUqQegZ11jY/jgREW8+fYu77wQlx4j9Wiijs17fMC3mOk2KjdUd97RJdc5uw4nNr9tOhmiaajbZBWo1rncJ8ehyrcg1w6tpnzFXjRvop7m/cP2kJ0bY5wwLRmbZtbuq2lXXByhIc3+iqnWnhw7KTaMGwLBqcmajq7+X6GejY1KaZox95RkYSVVTUCee22ci6abWRaxyvXAOSbEwL31NeTy98u58yEmPoqtkFul9H3pd61p/rXv5e1Mr/5bRCTfsZt8PGdYRg9UTtRsb0S6GUeGt7NppVI8jYi91iOCNykulHk/rTqL7JpqVIau1z/fJl04QitlM8d/FkWzfBcmzhU8BmPNqFhpVZfUa75iFjn/Hl74pFWvYZ43JVqdx6a+V1pBbKlMzOFiydau3FVY1igwwnsJFr5QjjOsLaUIYbqMv/13kTROsomTF28uMrRXbSylvnUbghdQ+szDRK9Nx/vgagjCLbkRZ+2thc8TCr40VXJNxZ5WnNxnVbO80dkklVDa2UFGdf5Bqp6y+vOyAc9YaMawNZFnEmi9q5BTauI4RINK5vP3a45e/BrbjcxRc7ysSGH+06koJ4gO1uSzVpYJp4+PKH97ZQaU0zLZlboDqlV0//ZrvV0f0RyFjCJrKmsYXSEmJMPT7l2MKzHkqzBdk9O8vqRVqememdqnQhDG4szHIW/evrvSIiiEi0GuNabh6RUq+VZM/9WdvU5q2LXvzv1eL7r26ZR0b8BNIgkQaK7GvrBmVpRju4FpXXo/J6dzpqDbYfrqNtpbU0MC2BxmksrfCH0nEaa3Hkus4nddnN/eBbQhnXKtPC/7fpEDV29KJpA1Io14JOLzPyM0QHBLXCowgA3bd4bI8tnTQSZIrz7mfUp9D3BNi4jjjjuufVc7gZJ3sHM0fyu3e3UFVjKy29ZCoNzgpiXLtkA7FqTyUVVTTQxdMG2p5K7Bb2VtTTj55aQxkJMfT+tbNMe13l2GK8Q7U42VJSS9csXS9SFJdeOpV61ObGpJ6/WqII2MBK41VP5DrZo/IMpwai1nIuNaNUAy3YFo3O8b5OV1o4z9PhgLce2SXj+cm2w/T4ij101oR+phjX0hlkrXHdec82+ERX/3neBPH+A3V0pNAL7n81jtVQdejyegilWv3cN/tow4Ea+vtZYy0xru0uL3K6dDIvPUEYx3oyg+I4cs2EhXHtwtTInkxXfRKfVzeg1liRNUJ2bc5wPFWNncIxyv7Ueoz8QMrjofjZ6xspOiqK7jhuGKV60ivt5KmVe+m7/dV0zsT+IrNAcri2U5wmPcHcY8JmDcaVEDVTca6cqMs1a3NjlsKv3BxBZCYUypRHPT1KIS524ugc8RUicmY6gH3V3p3s8c4YB9kU720uEeN31oT+jnc+CNapwgwwb506pq+YF6zSBEkKkLqMemS7eG39Abrnw22iHdRfTx+jIVPQ/znplxrXmfUS4py5LZMzVHcTq5Dn0ej68/xP9AumxLFxzfRkIjFyjUn7/c2ldM2cAjp3Un9L3oMjIu7CO1GHWCzsjlyv2VdJN76ygUZkJ9GzF08xlPmgpeWYBAbmp9vLxPe/ONaZvpKIDH+5q5xmD87o9vvDdZ3GdZYFYos4V63tbarq050wwPQ6SnzBJYHjNnrssi0L+pGHQirhQgMgWodRj2P9vaIPuZU6CG6LdDLaKK1tovs+3Uk5ybHCuO7K1OgVlp1JkCb8a4sFUiFiVZCZYKgFoFGionoR/Nxqs7CgoYNrAA45f2AtVBPnkJkBRvs7BwLrMt4DEfkkFQJly9YfoHs/3UmLRmXTXYtGuqI9pt3H0MQ110xPJCqKRNplqicVLxLAzQpxHim6Y9V7uMkDGul0GZ7Bx3xKXhqtuHmuN63VruPy3UToSedVXms4fjWRVqVx6dS1GqhWXEZOAm2YjL4njEA1C7fVrW8CRY8Wj88V428kevGHk0ebcjwyAq0lcm1Gn9TuBnAvU1Rw/7FiD6XFR9Mvjh0uBLEeO3e8acfKODt32Cm6pQaZEejWVmH+mFWQSS9d2pVBJNeTx77cLTJqLp6eZ/la4dsyT42OjhlaOk3SMWjR5/vv6n30oIYuMihlc8K47HLudjgWPY/zODjYuGZ6JGhRpLZNUbhglhJvMCD8g3TWkTnGVaAZMz2xwY1mLCIwSu3aawfq56nHoIuP6d3Zz7u3ejEfpWfaqbrTQB5q6fzSk1ocivlDM0UUVo1R5YR+AiJUvzxuBLkFXFtAjUMS6aPPXDSZWg3Mr3D6oOYa42Nm5gBe84MtpSJNFEAMa4oKgTbGnfg6J1tkGYRLnNpyTjVrryFKWVrbhOFhR6tICd7zP6uKxPcXadABcUvEHwbir97eLMbh14tGiki3E0GRBI1q4VC/B1IN3y6Uax3urVgd5Y3oPb7kpfUiQv/UBZM0/39hbrLQyBiebY+IqF1EThiTiTi8C56FHsGTCvuKB+MOAhmxTuNvE9Gus90KNltaHWVmikXpxduD1GdszI6AKtGSYsd1uYq0cBVzJjamRp2KV76wjjYerKG/nT7G61wxw2AyoqjPuH9eRwnJ6eNyRYqwGzA7vXbjgWq64oV1lJceT69ePp3sQnn8djguupwm5pw3OJs/2X5YGIo/Xdga0ri2qjVfoHr2QFRJ49pk3RE1onbLLp8mrl+9WiNwXu8ub/B+Zq2cGKaBPzaumbAl0GaeCV/UtnX4Zm8lvfb9ASrMTbFF2dPfJgLXJZYzmNcxFgviOZHyrDZyLWt39ShOm4nsjWp3ZL+6sUVsatMTY3U7Pv7vg210qKaJlswpoJEGeqlfNnOQEJzDpt4OZClAXXMrDcpIoXMn9qfMpBjT534YKzDih2Un0eSB6YZfn7EXOW9BBRoPtC381fHuyfjout7MKTNqtEEjB6UfV724jg5WN9HrV04XjjU5N8PQsqNto4yUqnWC/ertH6i4qpFuXTiUxvZLDTgWLW1tAccC0W3LI9eetaxOpXHt1R0xYe7TAsbYqICd20o03AIb1xHC0rX76cOth4U66+Lx/SgSkAreVkaukRIDoL7slhS1SOb8qQPpxMIcGhdg4ZXsqain9zaXikXWFuPazyYCKbhrfn4UNTa3aTaqlu8sE15xlCUgtTgUMp3SyQUwUHQH0c/jR2ZbVloh27L4Kkj7Mq5fCl09O58GZyWSnZz0j5Xiunj9iumq+6L68u2+ShE9MJrKqbbXuhSoW7GrXLQuWzC8j673k9cuelzjvP/smGGWXGsrdld4WyWxcd3zUBpBcFD2jnJX7fzo3BRRqpNlUumBHYKbOKd7KxqEAQgDG/ef3V00tAZAtpbW0a6yemoMIriI16wjGNeB/+bxH0+g6PjYzkhxh4Vtzlq0GdfZSc6Jyzl1rXZ0dIj9CcTfZFlSOMDGdYSwp7yB1u6rokkD0yhSMLsOyh+3vraRfjhUS/ctHkNzh2RZ9j6MOuYM7i7QEgi5ibBL3CtQy6XO2m/tx/D7d7dSRUOLaIExTIVx7Ya+3t7ovY+InJWlFVe98B2t3V9NfzmtkBaGMAARCQkUDbH6vMC4NuIEtHtTLKPBjyzfTQuGZek2rlPiOzdTEJ60UqjHrD7gjDMo50jpoMSGHPO3G5zaUNw2M7VVrhNWtk7F2tMvNZ62H66j4upGj3Ftr0ArjNsZ+end2lMGQ00LtlB13PjcUwdlUEZGElVU1FGrBcEXmYVV36xuXpPtKK3omBGKx1fspurGVrp0xiDKStL+/kaV+1///iD98YNtNG9IJt27eCyFC2xcRwhW15i4kdzUOBrbL0V3NEgNToggMcaxe7OdGBtNp4/NFel28NDaLQQzIieJvrp57hGGrZ1cOC2PLpqWFzKCbCa9Ta7pswIxlk3GdAKkune8QVE4RKPhhM3LSAjpqKpt8qTz66y1U6aFw7hGJgYiPXg9o/X3yvsaBraVbb4Y60FmzwNnjRXjKupE1x+gv368g44d0Yf+79TCsBsCu1qnQvAPxvWBqkZH1sWCzER66Ozxphpy0jHg5Jwv50Q1aeHYDyDoVVrbTNk6jFujvLLuAJXXt9AZ4/rpM64Nzq2xYaqPwcZ1hNDoqUGNJCPQDqEEjoi4i51ldbS/spHy0hOoIEh6r92RXCy2v1rUvUawuLKBfrVsg2gXpFUxWquAjuj/KfoRk2MESn2HYYjIlBVGt9yEqVm4D1Y3CoMRdW9Ql7YLGZ0yshnscp4aG+A1RZWinzD6rYYyrsvqO6MtGQn6z5VMC4e691sbD5pmMPmmEXuNlQha/8INtI5yk4aEEly/0PFAmfJRw/RlcSix6/Mhcg2g1+CWDCej5yUmxJyPEpT3t5ZSX5SzFGRYcpzoIIOMHjUCZah7/uvpY6inisAaDTDFs3HN9GS4H7M1eNMxXboYRRovrS2ml9cdoCtmDqKr5xS4WoSjor6ZPt56mPrAW3yctv/1biBcHJFVy7UvrafvD3QqRh81LMuxmj60oFFz7ZiNUc890p7Nilx71cKD1DRKEO0wKsLTFbnu6kVuxlwKR84n188W4497xe1GA6MNN2hIKCmpbaKfvbFJOErNMK7tctqnJXRljgCIIaK9njP9JMwZ91BzPsbqng+2UWZSLC24frYlx4kIsJMGsxbknNiic/3BXNs/NU51ar8vMjsj3ISHOXIdIbBxbQ28aXMXXbWW7a4bN0Q3cFwQv4s2eAxaW5igPvb5b/fT0D5JorbKCTYcqKZnv9lPgzLiacncwUeohVvR57qr133odHinUoeNdjXAhlN+PKPp1NI4VyPEU+4R4ck0EOVHnSdENsfkplCtpz7RDIMCmRpKoT9OC+/5vPdDCVU1ttAxI7Jd4Ry1sjPJgPR4kcExrn8KWYlSUFDOH1YJSwZqQXXGv1eJtfDzG+eGzF5SM+6PnTtBvE6g1PFGl5VIoh0nDhVzVk+MXM8syKTXr5xheI1u5LRwpidit1CFG/hqdzn94b2tNCInme6zSCihS3gkcs6rm1HbEsWJcTv5HyuFIYm+kgV9kroidTqEQLSmhe+vahTq6FPzmh0zrsvqmunDraVClXuJ4vcNzcZrd83ode+UA7Krfl5fPTyOG9FZGNlGN4wJniiCjISriVwbaZ01JS9dPMCjy3dZdv670sLdGpNjQvHol7vFPDaqb4rrnNpm97mGOKodAqk5yXHCwdXHoX7hmJ+ldkMoFXjUJiMzAPNcsHEPtY7INp1WK1OLjCIxN0cF7Qby6roDdP9nO+iUMbl0x3HDyW606rfY1aKzp8OR6wgBNzcu4nCSulfTgqektpmykjojLFbAERF3oXahuHXBULp2bgFFR0XZemwwruUi0mVcR+k2GtV6m+V1ancPZzXpz/WeFGQr5iYtm16nUk1R2zwkK5FyUvRtcFPio2nFzfOota2dog0eu4x8y2yCYJTXG49cK2nyOBfMMq7v/2yncOhcPSefrpiVLwR7hvSxt80aY83crkY12k7kvIopBJFIvf3q7ebYkdniIdl8qIa+3FVOQ7OSdHcA0IJy/LAuBFsDUJv83pJZ5jnaLN4Ln/XEaiqqbKQnz58YtAtFWV2TCAbYKfSpRDr3nRKAi2XjmunJaFFkDBfkgic3zVZ4JqEADcMlyYKoG6OdOJVGJyZ0+9N/PX3XPccmDT49xsQFUwfSSSr6eUuMvJfVqZMyBVm2LzET9G2G8TowI961jjIYfmZg1LAGyXEelVtPNCkYj547Xhiv+RkJht4Tmzq8n4womeXc+HjbYSquaqRzJvancf1TaWSOKS/LOIQyfdVI1o8V+AroRRvsw+1UqvD64hp67Ms9dPTwPrYY13BCwKZEEwuzjLtX1hXTuv3VdGJhTjcRPInUk7AiU0qJdBSgzVUwoBIOhPZKD0wLf2fTIXrh2/00b0gWXTk7X5f421FDIf4WXrHe8Po0DKOit7BZYOH7xbH2p/EwgYkxKM5hZ1RdGhN6oslq+3lLmlwgAORPFRTZJfJnK4zrsyf2Fw81GMkkCBdS4mNU950ekpUkHkYoqWmikx9fKQwJ2evcLOeG1fM/Yy9enYnWdirMTRGt2xBhdQPKORzzu1Htg799vF20SLpmTj5dPtMc55saZF9mqw1P33FF+rRZ4pzf7a+md38oEbXj/oxr+RmTFJoMVpAa372ePRCH65w1ru88foRw5uh9fyjN/3ColoZnJ+nuEf+3M3qG+JsW2LhmwpZwTTdhAiNrKkNtqJ/9Zh/tqain08bmBk3ZsjJy29RiX6RUOhuk88Et96NSOCvB4ewPp+o4kc6NjWXvXr10pcaj/dzDX+ym/mnx9NOFQw0dS05yLN17xhjvxtBqkNIO4PsZnpNMJ6Mne7Y5gkpyHLFx/3BLqbjWZhVkUB+dqraMs8RFd83ti8f3Ew+3gAgslh5cx2Y4c+QcGWNx2dLh2ia67uXvxTEvu3y6pVlEwaL+uEdDaU7AEXfn2z+IDgP3BtHQ8c0Q86W+ub1blo5VyE4I1U3qjOssh+resW4YwVuiEcFOaX+wcR0h/PyNTeIm+MUxwyjX09sw3PEaMxYZ14i6VTe2iE1cUizfSm5gwoA0+tnRwygvRBrw8l3loi/p1Lx024zrrvrfzk3E4kkDaFZeKrWoaHvkz6BCyutA9PPODF1H2uQC4T1/aeEdHSRUcbG5cjrFE2mE4/unGk5z1sof3t9Kb28qoRvnD6aLpuVp/v/Dtc30+Y4yGmpCPTGM+3lDQwspYUP45oaDlJUYS6eNy9X/ftFRQiUeqZrIxvjx5AFkFjL6VtfUSv/8ag/tLm+gx84dz8Z1D8WrM+FSZ/ntxw6n6N69TNkL2NXnGq+/s6zeu0+qs1BcMqToZAinBI4NUWmImhnZ980fijKhsTSob6orItdQTAeZifqFIZ1EamUYvVbb2jtEiYBTqulmwxZBhPD17nKxgfnpQmvqj3tyWya9oF/iaf9cJYym5TfNteQ9GG2g1RQebukjGmwTERXVS6QPxuhYTNT285a4QV3Xn7gYIpf/d2qhZe/58nfF9PfPdooawt+fNCro3541QV36uNsybLpay9i3IYZj55Hlu2lAWrwh4xobKSgW76loEJGpQSY6NlK9PbRbXaE5wJjVVg9RTihL93JMBMofZ5gYSbdrvk5SOALQCg+p9nYb19BDEEGKEGux2nMSat+H4NLAzETKyEiiioo6soqUuBhVNddVnuftyhby5YsdZfT9gWrRtWFGfobm//dqlejcS7W1d9Dc+5eL1PQPrp0larDDATauIwAIb0Vin+vEmCihwmuV2BjXaPZcmh1Ik0ZKal56vEi9tdtxdOWsfLpw6kARWXGKnJQ4+uT62bbPQbhP3dxD02iPXNk2S/aoNson2w6LOrqFw/uIejh/1JlYm4nrAsY1sjHG9EsR1weUgc1KOcfm1g2aA4wxLpmeR6ePyxUihTe88j19u6+K/nTKaDpOoXYdLtiVaQTnBPZHiAqjJZbsEmCnQOtfTlPnXFXb21xtO06r8Uaumzoj04EMy+mD0sUclebRu7Cbr3ZX0EvfFYs5V49xbVS5v3dUL5Ij5dasFD2wcR0BwCMENcZIM65RW/fiJVMte303RAOZ7iAFa2tpraiBQ4q4m9KkfVWh3/n+AP1v3X6aMSiDFo3OsbQ3pBPq6L5g8U72EZFB71L5nNM9PIsqGggljoik2tmyzLdcQCuNLeZGrpFCva20jvIzEwIa1zLClWyScQ3++vEO8fj74rE0Z4g2wb5gm9taReTa6XuA0c8YRfmO0WiZFazbXyWyJFBmZDT6ZmcwBHMyjGscu7yvjQqyWYHa2t5Qc/7qvRVUWtdCc0f3pUxPHb8VILCzYFiWEFYLZlgGqx+3VShQp3PXjCBTfHSUuAbZuGZ6FMoLNs7G1MFwp2uyd09qWqQDw/qapetpcGYiLb00sGPFDZvtdfsq6c0Nh4TwiVbj2uo2c3Z6zW9+dYOodf73jyea/vpaFKMve/47qmxooRd+MkVVaYFrItce1XnULpspxBOsVrCrNtO4f76vTyaHWQbF5TMH0aUzBgnj4cW1xaa+NuMsXcane9beP76/jXaV19Oj54ynqYPSDb2WnesT7ndkqtQ2ttJtRw+j8rpmGmiz7oSZdeih2nG+uu4Afbj1MP0uujedNtq6rIcFNrUzM0qs5x7Sa9jCMIYzyUi2Q0JMZ/aEzMIKBzhyHQHImwa3EBuCJp5XF3rPIx21hkqLA5FrZXlGMhRSPQaKHoVotf28Ja+uK6bNJbV0/Mgcwxs/I/zx/a1CkRaic2kJMdTgOQdW+adiNESunarL1RJdDxa5Nuu4ZcQ3WK2gmcJH4/un0UmFTfTOphJT09tTPWmWkVoWFW5sPlQjMioQEfSW9bho7fVqJ5ig8TJhQKro+2tHe6YUj2o2aq6heWCm7oEabn9zE60pqqI7jhsutDGMRkjRehE6ELL1oy9OiLYFAnOT0wJeRp27aEdrtCVtvGfOV3YP6em4Z2ZibPH4OX0j281F//2WTn18JR2sbjT9td0Q/WT0LRTeVic2Rj7u+XA7zXvgS3rmm30+6bxR+jdyKpXGV+6ppGXrD4rIipOg/+h7m0vFRk65mFrVhktL5NqpVFP5fk2GI9fmnEPZ/1VuQq3uh4sU8N+dOMqrlmu2AazM7mBHaM/lgy2H6ffvbaX3PW3V3Ja+rOzDbZRbFgyl+88cJ/p5W82A9ASR6YVSKifAPIOMIeloDVafjBZhoSKkmJMQSQ3ktPaWtFjc51oaz8Gcpp9uLxNiXrcu20BuEhq1m3hPRq2btVG0wpHrCACbRkyckei1P1DdKNQYg20U9SIFM3jD5h7URgFfunSqMLDtiAwE8s7Kr3ruS9mHVK2nt8twdNa5JnuaSueG1X1VZcpbKOMaGzdoUzhhXKOVGtqRjdW5kb5qdgFdMn2Qt37dKHIspLiRP+qazBc+6ooum/Oau8vr6bk1nY6sv51eKF5fT5YI47I+163tovOJW6KP/vpw9yR+c8JI7/e4X6B/cVJhjjfzw2rUOkCPHZktHjBYjeAVbbPYuN5SUks/eXYtZSXG0NtXz/T7N1BJx7zkZHGX17mrU/PDzL1Ro462pG6FjesIAJu3r26ZJzaQkQYWXxjXVtRyZCfH0smFOdQ/LTL6hvcE1BpTGYn2GdVHGC0eR480LPVs+NG+5LaFQ1XXxtnVN1Wrl9xqAR1EMCYPTBMto4KhFHOx+xwhcmtUwMvMY5YGixwbf5w7qT/NHZop+lybgbLHrp5MjkD9Y5GtAeYOyaLjR2nTNWDcRZcR0N6VOeEiZ4nb+3CHAkbrQ1/sEpkeRw3Lss249raoVHneQmVfbjlUS8u+P0D9U+Pp4ul5Rzwv5zWrjWusadhzBwvslNY2i69Otp+Sa7LMgNJT6rW3ooGunVsQVEQ2GNBcwTlITwgfkzR8PgkTEjf1hLSLeBVRGL2M7ptCvz0xeO9cxl68tcjwBrugnsmf0SKNam8LJR3GxOCsRPFQixM15mp6Onsj1xZFoIZnJ9M/fjQh5N8pN8ROOyCcRkajpQETqFcsHmawu6yeznnqG+/PZmVYjVCo9K4pqqT5Q7NMeV3GGeR9iaj1wuHZVN/Saktqr1rkdatXdVnJ0Q+toNb2dnru4ik0MN2eGmhoLMgSCrOcZk5E/IurG+mVdQeEwebPuIYquh19pbvm0TaRVeSvIwaya2QAzCnmDc2ip/smU6bOMUeP7B2H6w2ldN+yYCiFG+6ZmRjGAmRETKaRMeGN3GwhSQMeY3+bLxhS9326Q2yGbpg3mKJtMji9EUHPtWjEuNaK2yLX8njkuXA6XVdu7JA170TtITZfiHLoEWj699d7aHd5A509oZ/uyIESiAqhl/CAdHsycpI9gkoAvbXNymLA69x81BD6+2c76bk1+2nywHQRkWN6duS6raNDdW9kZ7QTjGUIwikMxxZexg7Btvc3l9C/v95LWZ4SqbT4aFvXCW8pVwjjeunaYlq+s4xOGJ1DJxX2Df16fow9lP7ILggZ+LwtgR2IZhnXHR4ncpJPZwUY3TBKAUT6nALjLsdeD/J8Wu2s6Gnw2YgANhyopidXFtGwPom0ZO5giiQSZZ2rFTXXre1iU4zJ3Ko+vYw2YKQhPQlGdSAjCQsdPNvgxvlD7Hf0eK7F/1w2nQ6U1FCsDmMOhvmmQzXiGpxZEDql2C19YZWpnaAgM4FmFmQ4urmQRv/5UwYIp4zdfLmznG5etoFG902mpy+crPn/IVa3dl+VaZHZ/MxE8QjGG98fFJEKGKuBemGrRekA+80JI0zd2Cs1Fe75cBsb1z0Yo6r6VnPymL7CuTVxQFc/bj3AKSztczsMFtS57iyrp32VDeLnPj6t8WwTIQ0xrtsP14rWjYhIG+mkcd/isVTT3CrSkGssNK6xpiBbFE7T2qYjjeufv7GRth+uE99ryUJzG7KrhGzhyHQSNmcD3r5Vq1bRoUOHaMyYMTR0aPilGejlYHUTfb6jjGoaWyjSkBExKyT+X1y7nx74fJcQ/4DaLeMO0Ns2VC2m7AtsZ6mEr1AUegRnJsVSq47NYkVDC1394nohUPblzfNC/r1M93PauPb2UPak5p01ob94WMXh2iY6/+lvhRPsw+tmB/w71Bc6lZoW09tYWqSsIbRT3Ok/q4tEnd3w7CTDxjU2oTgHuEYRBUkyoXe2RGkoOJ21wZhV8hM4zdZJZg82ppsggXK2vC/sUENHyy+lQKudIp8AmjVwLGYlxZkyz3nnUz/rKhzu0LeIjo6yPGMNJWnJHs2fOlFi4//zTeif6qhuT21Tq+j9DYf3lbPzNf0vSiBkOrgR4/r+z3bSS98V00VTB9LVcwooHAgL47q+vp4uv/xyKi8vp2HDhtFvfvMbuuKKK+i6665z+tBcgdy0maXC2pPolxpP+RkJlqSduiUayGjjcF2niEh2sjGjQCu5qXEi7XVwZoJphjo2RK3oBhDiGvz3eROFYIkTQm5KfnfiSHEvmqkyHYzoqCjhiABu3JB3r9XUFzaXtdFJJs1xZXXN9NXucjGvBRIBkw4qMyJr2ITieq5qaxURHjNRGgpO6w0wxns//+mU0VRc1Ugz7v1ClC48/5MpYXdaK+o7760Mm0Su+visg3Yb1+dPGSgeoZClfaEcDl7RTBeotkM0Dca1v3nt74vHipRxGPxOasPgPD34xS7CEVw+a5CmNVJGrYFR/YOm1i5DPRwIC+P6scceEwb266+/TvHx8bRmzRq68MIL6eijj6bRo0dTpCMv2EhsxfXzY4ZZ9trS0xuJ59XNIL3tUE2TEILxF1WD8QCM1BnpYVTflG61gr99YyM1NDaLNkpaNzRK4xRphGkJwa/BdNFD2DlF0kAbOTWOASMo+5gjkhHIyYaFvaK+WTxvt3KrUZVhWbduVq9w3D+/e3crDUyP92tcw0khMw9Qn2kG2ICCHz+9hlb/dD6ZRU5KHI3KSabNJbUU7XAbOsYYUkQPjh/gNn1WRAC3ltYSOkVNyUvX/TrSGZjh6ftuNb5rj91OZ7V4M75CGNfBygeKKhpoXXEVFWQl0cKMJLKaqXlpVNc3WWTJST7eWir25FPz0sX85DTJnkyhDk+LxRQNc7qst4ZuhpEswHipWG5BhqlThIVV8Oabb9LixYuFYQ2mTJlCEyZMoLfeesvpQ3MFbhEzCjfk5G2H6AijLcXomqXrhfhJ0Mi1zca1L0u/KaIXvy3WtaDAIJVOHSt6uNtVyrPgoRW08KEv6WB1oyXvoYxWBotkfF9cTaf+cxVd9eI66mm1pN7ItUnGdahWXNiAydp0s9r1/GhSZ2nAaWMDCxXpAVGuK2Z1lonER2DmVjjibaXkoh7XYOPBGlGq8+ePtht6nUpP5NouJx/6MEuzCJkBJwcRC7OSUP2rpVZJKCeit4bbz3z/7b5K4Tj891d7yA7uWjSS7jm1UHStkED/6Df/2yL6YLsBrD9yLyGdplpsC1ynepXGJdLpzZFrF1FVVUXFxcU0fPjwbr8fMmQI/fDDD44dl5to8mzeOcJqLnIzzE4Ld5Hm2fArU5aUHPb0lrRbuEVuILAgJfXuZajPtdxcdvZ8DW1c/+3j7cKzfOWsfEfb1+wsqxMOBXjHL5sxSBw/1nOreqriM2Pj2BHCePWWzjjgKJPvqSeNEVFkmS6ZaJNxXeXR7kA0xqy577ajh9G1cwdbUjcuncuy5Q/Tc1m3v4oe/mKXV7PCTcgIsMyM0gsi1hB5HJObQnYARy0MJETMUUJXYLO4FjKGrnhhnThvH103O2AEVG3kOjcljl6/YrrfuQn6QyDNwb7S0rnvxP4jEKiXbmpt1mxcj+ybTB9cOyukY0R95JrTwl1lXIPU1O4Kgvh58+bNul8XggduBp63RzyLjD+evGASjfe0ZXlvc6nX4+f2z2U2b244SA98ulNMaP7m7NuOGUY/9tT7fFtUSVc+/13A17p+/hC6dGZnFOSHgzW09Ltib3TE7PPa27Phll8Z9XSmQBM9snw3PfblbvE9Ftqvbu1MN8XmAYquSBm3837AJuLYh1YcoUidHB+t6zhgXJfXt9Dd72+lZz21hxAtXPDAl0f8rXzPy2fnOzoH1LW00avrO5Xan15V5F1YUxKiLas7g1MRHvEbX91ASy+b5v39Wf9a5e0zKvcGcTFRppwfLfdvoqcVFTIQ5HtD1OiYB48cR8lJY/rS3SePprqmVloyt4AeXb6bUhJiTDn2VM/GE+dsxr2fi+8fOXcCzSjIEN+/sHa/14ll5rWUatF1WevZlBdVNpp2vDw/O8M9H24X4wiS4qzbz+gZ336e1nVw6sr7Bvzi2OF07uQB4vtv9lbQ1S8Ezo656aghdPGMQbRwZDbZydDsJBEx70ArQpvXh4zkWFFHjzZZs+77gpTLAIS+3rx6ZucPnjkaa0WwY8RzgzwO5E0Ha+iip9ccsQ5Oy8+wbX8F0a/bXttIy3eUdTuG3LR41+zH4ezGHvmi/35Ldy4aQWdN7Mwk+np3OV23dH3A/7tl4VC6cNqRvcS1kugZrw+3ltJfo8dQOMzR7nL96aC1tdPTEhXV/QRio6bXmxIV1YsybKjHMEJsXEzQtjEpqQnez3Du9Dy653+bac6IHNd/LrMZ3j/dG2nxd74SEmK95ySlsinoOY1PiPH+bWp9q1eZcpaF5zU11bj4VaQxf3RfeuabfaIFhhxPTAVyjC5fOJy+2V9N8wtzbb0fUtMSaUTfFNp8sMb7u8J+qTQgJ1XMOVqZMzybXlhdRBMGpXs/R1RDS8BreHhOMhX0S7dVId2XqQmxou4aKt7yMOcM60OZmV1pc2YzfUgWfb61lHr5zOv42fdczRqWbeo1oeb+TU5NoMF9kmjmkKyu945tDjoXxcZEi79N7+igmxaNohW7K6hfdoopDoq0tEQaldt5ncpjSEmJ9x7buEGZIvsA119PWE9mDM+hmI+200Wz8k0/Xp6f7eWsqXn053c7gyZzR1q/n9EyvrgXJwxMo3X7qrrduwmJXXuM5PLGEHuMrr+1k5evnUNOMm94H/pkS6lYE7pt23t1zdmf/HwhtXtOntr1MrWu9YjzPbJvCp0/e7At929FXTOd8vfPqaSmM2Iuwfw6bECGrnXfCuYOz6ZdZXvE+VderymHG4Jer8r9sxFmjcyh+I+2CcHVcJmje3UYjec7TGlpKc2dO5eeeeYZmjatKyrx61//mnbt2kX//e9/Nb9mW1s7VVd39vxzK+jhFxUXQ7U1jeJ4fUHai6wFRq1Ka3s7pViUeul2EN0J1IorKTbaW8MDD6NUwfUHUhZlKpr8W0StoQhpNvC2YVLAdehvfJnQ4jK+tcxKMS2MnxO18rgPESHA+CanxFMMxlbnFIypG8qyMYj8eq5BpAmXB0hLREQf6tlOg/TsakVbQAjLWamWivOElEM4FZRq6eX1zd7NGvB93s77V7Y0UTOOMhov53N8PnwMM50m8jqVIG1fplliLsWagvRVJ1VutV5zZpbv8PzsHFh3cdlZVUpiZHzh0EWGkpIkDXsM5d9GEnKO9gXGp5F6Xn/nG3N8bExv2/ZX2IdgP+J7DE46uf2B9QbrDvazUpHdd632JcnE67WhuU2sLWhP6uY5Gq+pJhre4yPX2dnZIgV879693YzroqIi0ZZLL3p6z9oJNlcZ2Jy3tvk/1o6uzxAT1Ytionq7/jNZWdMYrJZSnhdMdekhFmx/f2vlecWkEKnjZoT43lHioUR5HjF+Tp1XXDfRnvu3oqLO0HGkeowx5WsEvIbbO40mp4nyOcY2obpvrY/X372a6qdm0+xrQu39i+sxoXeUunH04Pu6SKs0E9/3964nvXpRTFy0LeNm5jVnxf3O87P9yJZzdszfesbX332rZ48RaQQ6L0bOh7/z3dHe4TW27Lh/o3v18nsMZs/XRpF7CSDPie9a7Q+zzl8M7JS4aMfWYLNxPoxhAgsWLKB3333X+/PBgwfp22+/pYULFzp6XAzDMAzDMAzDMExk0OMj1+DGG2+ks88+m6699lqaOHEivfzyyzRv3jyaP9+8fpkMwzAMwzAMwzAME9aR67y8PHr99depsLCQSkpKhJF9//33O31YDMMwDMMwDMMwTIQQFpFrkJubS9dff73Th8EwDMMwDMMwDMNEIGERuWYYhmEYhmEYhmEYJ2HjmmEYhmEYhmEYhmEMwsY1wzAMwzAMwzAMwxiEjWuGYRiGYRiGYRiGMQgb1wzDMAzDMAzDMAxjEDauGYZhGIZhGIZhGMYgbFwzDMMwDMMwDMMwjEHYuGYYhmEYhmEYhmEYg7BxzTAMwzAMwzAMwzAG6dXR0dFh9EXCDZyS9nb3n5bevaOora3d6cNgLILHN7zh8Q1veHzDGx7f8IbHN7zh8Q1/eltgI0VF9aJevXqF/Ds2rhmGYRiGYRiGYRjGIJwWzjAMwzAMwzAMwzAGYeOaYRiGYRiGYRiGYQzCxjXDMAzDMAzDMAzDGISNa4ZhGIZhGIZhGIYxCBvXDMMwDMMwDMMwDGMQNq4ZhmEYhmEYhmEYxiBsXDMMwzAMwzAMwzCMQdi4ZhiGYRiGYRiGYRiDsHHNMAzDMAzDMAzDMAZh45phGIZhGIZhGIZhDMLGNcMwDMMwDMMwDMMYhI1rhmEYhmEYhmEYhjFItNEXYOxny5Yt9MMPP1BOTg7NmDGDevfuzcPQg9i6dasYw+TkZJo0aRKlp6d3e76oqIjWrl0rnp8zZw7FxcVpep5xB4cOHaLPP/+czjnnnG6/Ly0tpdWrV1NUVBTNnTtXjKOW5xlnaW5upq+++ooqKipo3LhxNHTo0G7P19TUiOebmppo1qxZ1KdPH03PM86CcVm1ahVVV1fThAkTaODAgUeM/5dffklVVVU0ZcoUysvL0/Q84wyVlZX09ddf0wknnNDt9+3t7bRy5Uo6ePAgFRYW0siRI019nrGHlpYWeuONN+iss87q9vu2tjb65ptv6MCBA9SvXz+aOnXqEXtm7Kd2795NBQUFYk/mS6jnGXt47bXXxP0bHx/v93mMU319vdgXK9m8ebN49O3bV9hM2FtpeV4PvTo6OjoMvwpjG/feey+9+OKLYlP2/fffU3Z2Nj3xxBOUmJjIo+BycKvdcccd9MknnwijqaSkRBjaf//738V4gqVLl9I999wjnt+1a5fYqD399NPiplfzPOOesb700ktpzZo14j6VwNi++eabafr06WKzt3fvXnH/jho1StXzjLPs27ePLr/8ckpISBAbrU8//ZRuuOEG8TuABRrjPnz4cIqNjRXjf//999P8+fNVPc847xC75JJLhMMyPz9f3I+//OUvvQ4yPH/RRRdRSkoK5ebmCiMaz5977rmqnmecAQYW7tP9+/fT66+/7v09NuKXXXaZmGthFH/xxRdi/G655RZTnmfs409/+hO99NJLwsBSOqpxP2M9HjNmDK1fv17slf/9739TZmamcIxgrL777juaPHmycJJgL/bXv/5VGFihnmfs45lnnqG7776bli9fLuweX+DcOu2002jmzJn0wAMPeH+PsXr55Zdp9uzZtG7dOuFg+de//iXWcDXP6wbGNdMzWLt2bUdhYWHH1q1bxc81NTUdJ5xwQsf999/v9KExKnj77bc7Jk2a1FFcXOz93Z///OeOuXPndrS1tXUcPHiwY8yYMR2ffPKJeK65ubnj4osv7rj11lvFz6GeZ9zDE0880TF69OiOsWPHen/X2NjYMXv27I6nnnrK+7vbb7+94+yzz1b1POM8F110Ucdll13W0draKn7+8MMPxZy8f/9+8fPixYs7fv/733v//tFHH+2YM2dOR1NTk6rnGWfB/fajH/3IO77Lli3rGDduXEdpaan4+aabbuq48sorxXwt53Q8f+jQIVXPM/ZTVlYmxmTEiBEdp512Wrfn7r333o5TTz21o6GhQfy8bt06MW/jqxnPM9ZTV1fXceedd4rxnThxYrfnfvazn3VceOGF3vsZ8+zpp58u/h68/PLLHTNnzhTXCNi3b1/H1KlTO958801VzzPW09LS0vHggw92jBw5UoxxSUnJEX/T3t7e8ZOf/ETcezfccIP396tXrxZ75u3bt4ufq6qqOo4//viOhx56SNXzRmDXSw/irbfeEt4zRD0A0kWRAvP22287fWiMCnr16kXXXXed8IxJTjzxRBHBhkf9vffeo6ysLFqwYIF4LiYmhi688EL68MMPRapiqOcZd4CU/4cfflhEKJUgJRERDmWaOLzq8KYjQh3qecZZ9uzZIyIXt956qzetcOHChXTeeeeJFHFkkmzcuFH8LMH9WV5eLtKMQz3POA+yTBCZkuN71FFHibkVZVj4irkWUWgZtTrppJMoLS2NPvjgg5DPM/aDtfX4448XpRhnnnmm3z3VGWec4U0zHT9+vNhjyT2V0ecZ61m0aBF9++23R6y3YMCAAXTVVVd572dkCx1zzDHi7wHGCdcHotjy74877jgxrmqeZ6znkksuEdm6119/fcC/eeqpp6isrEysx0owTtOmTfOWbqWmpop5QHn/BnveCGxc9yCwwA8bNqzb73BRoBYE6UmMu4EhLdNHJdhwYyMGR4m/8R0yZAg1NjaKvwv1POM8SNO/7bbbhBNlxIgR3Z7D+MGxoizhGDx4sHC6IF041POMsyBlDOm+o0ePFuncSC/duXMn3XXXXSLlEOOHTRzGTIL7GunBeC7U84zzoLwGzjHJtm3bvL/fvn27qOv0twbj/gz1PGM/0dHR9Mc//pGee+45oVGjpLa2VpR5+GomYE3F/Wj0ecYebrzxRjEX+6634KabbqJ58+Z1+x32SjCigu2p5f0a6nnGes4++2wRWEK6tz9QWvnQQw+J9G44T5RgnHzvT/yMdRvO0FDPG4GN6x4EBFLkpCDBZg9AfIXpWeDmfeyxx4TnNSMjI+j44rlQzzPu0ESAlxveVl/8jR8WA0Q9Ao2v8nnG+SgYxAfhQYdOwscffywWfnwPMEZwjGBDrwQGtBzfYM8zzgPHGLILoI3x+OOP089+9jO64oorxMZdjpG/OViOb7DnGfvBXIz1FQ5KX5AlBJBZ4G+8jD7P2AMyvZDFpwYYUzDUZPYQ9s3B7tdQzzPWc8YZZwTUlFIGM/zp0uAe9b0/sd6iBh9jG+p5I7BaeA8T5fAVUZCLBuvS9SwglPHzn/9cjOlvfvMb7+98x1f+jPEN9TzjLEjrXrZsmfCi+9vM+bt/Af4W4xfqecZ5ZxiU+k899VQREQGIYCO1GwKD/u5PgN8Fun+VzzPOA0EyOLOgLIzxxj2JaDQe+B74W4Pl/RvsecZd4H4E/tZUeb8aeZ5x37197bXX0imnnCIMtkBrrrxfQz3POM99990nHN7+SgIA7lHfvZjvnjrY80Zg47oHAQ+ab/p3XV1dtwgm434wYSMyAi8qakUQtZZjiNqwQOMb6nnGOTAR33777aJNB9TgAWqlMXk///zzov2Hv/sX1wLS+uEtDfU84yxJSUni6wUXXOD9HVotIY1sxYoVQj0c44drQblg4x6V92+w5xlngbIwUkwRCbn44ou92QrYiCO6AQcKwBgq2ydi/JByLCNcgZ5n3IW85+Qa6u9+NfI84x5wHyObDOszygQA5mA5J/uOH9bbUM8zzrJx40Z68skn6eqrr6YXXnhB/A7aNHLPBSd4oPEDyjU50PNG4LTwHgRqeXyFjRBJQT0Y3+w9A0RAfvrTn4paPtSBKcXNML4YTyUYb9RpYuMe6nnGOWAwoZ0SNtGyvra4uFj8Ht9DtArjh9+1trZ6/w9CdlgMUNcV6nnGWTA+gSJVSE/D87i/0RJEgt/jZzm+wZ5nnAW1e4hWQ4RMgvsZAmcQQMIciw23vzUY4xfqecZdwKmNh781FQ4zo88z7gBrKLKL0L8YdbnKspxAe2p5v4Z6nnGO3r17C/FIiInKPRdSuRGAwvdYawPtmSFMh1ZboZ43AhvXPYijjz5aqNUePnxY/IxN9zvvvCN+z7gf3OzotYnN9H//+1+h/K0ESocQUlCKZUDNEEIOiJqFep5xDhhYv//977s9oDqJBQDfY2FHH0XcszKyDd58800aNGiQWKxDPc84C3qPI4L5xhtveH+H+3HHjh1ifAsLC4U4mVJp9P333xf1gPjfUM8zzoKNFu5jpXI7nB+bNm0SxhLGHhkoWHMlyE7B5gwdHEI9z7gP7J0wXjIFFKnDq1evForSZjzPOAvuPRjWJ5xwAv32t789wjGK8VN2W0EUE1oack8d6nnGOUaNGnXEnmvs2LFincX3cHxhnL766isR3JCZgP/73/+6jW+w543AaeE9iGOPPZYmTpwo0hIXL14sJnF45VB3wLif+++/XxhOMLBhNCmB6AomC4hzQFH8xz/+sVC1xN8jwg1CPc+4G6SKolYXtfZIO4WHdenSpfTII4+IRT/U84yzoBb37rvvFiJX2LRlZ2eLew8bN6lIe+edd4pWXXCgwfP99NNPi3IBmTIc6nnGOZBFhLkZ47Fhwwbh/MRGCw6vJUuWiL/BvXnRRRdRQ0MD5efn07PPPivSTWWkMtTzjLuAOCFECdGuCSUer7zyikj/Rws2M55nnAP3LYSuYBjj3kaqsARzL8o9YHi/9tpr4p6FQwRiZxDBQ0QUhHqecTeLFi0SKePnn3++sJmgi4MSgWuuuUbV80bohWbXJnwGxsboJwSTEL3s37+/iI4p67sY94J2Abhx/YGbGeOJ2xETOISS4HnDAoDfS0I9z7gHRK1wr6JVkxJ4Sj/77DOxwKM9m28LkVDPM86CSDWiVWjFgxo+XzViGGa4RwE22YhmKgn1POP8fbt8+XLh3ELGCGr3lC1e0PoS2QswoNEj1TfKEep5xhk++ugjkfovHSXKWvtXX31VRK/QUu/kk0/29kU243nGHtauXSvmZTgwAdKFAwWeUE8LJynAPA6nCNqqIXsFRpbsW67mecYe9u7dS//617+EAzNQGexLL70knCo/+tGPumUfYR+GFotI94bNpFQID/W8Xti4ZhiGYRiGYRiGYRiDcK4hwzAMwzAMwzAMwxiEjWuGYRiGYRiGYRiGMQgb1wzDMAzDMAzDMAxjEDauGYZhGIZhGIZhGMYgbFwzDMMwDMMwDMMwjEHYuGYYhmEYhmEYhmEYg7BxzTAMwzAMwzAMwzAGiTb6AgzDMAzDWEtDQwP961//Cvl3EyZMoPXr19OUKVNo1qxZjgzLY489Ri0tLeL7RYsW0YgRI0L+z0svvUQHDx4U30+dOtWxY2cYhmEYI3DkmmEYhmF6oLH90EMP0YoVK8ht/OMf/9B9XA8//DB9/fXXph8TwzAMw9hBr46Ojg5b3olhGIZhGFMoLy8X0d0rr7ySbrvtNled1UmTJtEFF1yg67gKCwvFZ7rlllssOTaGYRiGsRJOC2cYhmGYMAIRbWVaOH4+/vjjqb29nb766iuCT3327Nk0atQoOnz4MH300UdUX18v/mf8+PFHRMg/+eQTKioqoszMTFq4cCH16dNH13EhIr1582ZqbW2lYcOG0Zw5cygmJsaUz8wwDMMwboDTwhmGYRgmjHjkkUe6pVbj57vuuotuuukmKikpEcby4sWL6S9/+Qude+65tGXLFlq9erX4/pVXXvH+HwzhE044gR544AGqqKigDz74gI477jj6+OOPNR1PW1sbLVmyhH7xi19QcXExlZWV0R//+Ec67bTTqLa21tTPzjAMwzBOwpFrhmEYhglzYNT+73//o+TkZCE2dtRRR9GTTz5Jy5YtExFsgHTs//znP3TWWWeJ6PL1118votXPPfccJSQkiL+BUfzTn/6U3n//fcrOzlb13itXrhQGOUTLZGT88ssvp+eff54OHTokjolhGIZhwgGOXDMMwzBMmLNgwQKvEYtU7Pz8fBo8eLDXsAZI1YYRDpA+jlRwGNzSsAaXXnqpSCF/5513VL93XFyc+Praa69RTU2N+B6p5TfccAMNHTrUtM/IMAzDME7DkWuGYRiGCXOysrK6/RwdHX3E73r37i1SuMGOHTvEV6SXy++Vf+f7u2CglvuSSy6hZ555hpYuXSp+nj9/Pp1yyinUt29fA5+KYRiGYdwFR64ZhmEYJsyBQawFaWQro9YS1E/PmzdP0+vdcccd9Pnnn9Pdd98totaPPvqoqN9GhJxhGIZhwgWOXDMMwzAM0w2kjct0cqk6Dpqamuif//wnpaenaz5jiJRDSA2PyspKOvHEE+nZZ5/t9voMwzAM05PhyDXDMAzDMN1AZBqCZY899pgQQJNA8Ozhhx+m1NRU1Wfsm2++Ef/T3Nzs/V1sbKxoCaZWFI1hGIZhegIcuWYYhmEY5ggRMvTHvvbaa+mMM84QxjbEzj799FPR1mvkyJGqz9iAAQPo1VdfpXfffVf0tu7Vq5dIEUf0+5prruEzzzAMw4QNbFwzDMMwTA8DtdBolQVxMF9gECt/j5+nTZvW7W+Qmu3L7Nmzu7XFmjhxouhtDYN63759QtkbvaphLGuhX79+9Pbbb9Py5cuFAjki4bfccosQNUMEm2EYhmHChV4dyMtiGIZhGIYxgUmTJtEFF1xAt912m+b/LSwsFO2/YHwzDMMwTE+DI9cMwzAMw5jKmjVr6MEHH6RFixbRiBEjQv79Sy+9RAcPHqT29nYeCYZhGKbHwsY1wzAMwzCmcfXVV3cTQdPCddddR1OnTuXRYBiGYXoknBbOMAzDMAzDMAzDMAbhVlwMwzAMwzAMwzAMYxA2rhmGYRiGYRiGYRjGIGxcMwzDMAzDMAzDMIxB2LhmGIZhGIZhGIZhGIOwcc0wDMMwDMMwDMMwBmHjmmEYhmEYhmEYhmEMwsY1wzAMwzAMwzAMwxiEjWuGYRiGYRiGYRiGMQgb1wzDMAzDMAzDMAxDxvj/fHOAzRtVw3UAAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plot_road_loads(df, veh, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.14.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/content/bev_thrml_ws_ca.ipynb b/docs/content/bev_thrml_ws_ca.ipynb new file mode 100644 index 000000000..3ed28240e --- /dev/null +++ b/docs/content/bev_thrml_ws_ca.ipynb @@ -0,0 +1,254 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "cell-0", + "metadata": {}, + "source": [ + "# BEV Thermal Demo: Warm Start, Cold Ambient\n", + "\n", + "This demo simulates a Battery Electric Vehicle (BEV) with thermal modeling under\n", + "warm start and cold ambient conditions, where the cabin and battery begin\n", + "warm while the surrounding air is cold." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "cell-1", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "import sys\n", + "from pathlib import Path\n", + "\n", + "import seaborn as sns\n", + "\n", + "sys.path.insert(0, str(next(p / \"demo_scripts\" for p in (Path.cwd(), *Path.cwd().parents) if (p / \"demo_scripts\").is_dir())))\n", + "\n", + "import fastsim as fsim\n", + "from plot_utils import (\n", + " plot_bev_hvac_pwr,\n", + " plot_bev_res_energy,\n", + " plot_bev_res_pwr,\n", + " plot_bev_temperatures,\n", + " plot_road_loads,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "cell-2", + "metadata": {}, + "outputs": [], + "source": [ + "sns.set_theme()\n", + "\n", + "SHOW_PLOTS = os.environ.get(\"SHOW_PLOTS\", \"true\").lower() == \"true\"\n", + "SAVE_FIGS = os.environ.get(\"SAVE_FIGS\", \"false\").lower() == \"true\"" + ] + }, + { + "cell_type": "markdown", + "id": "cell-3", + "metadata": {}, + "source": [ + "## Setup and Simulation\n", + "\n", + "Load a thermal BEV, set warm initial temperatures for the cabin and\n", + "battery with a cold ambient temperature, and run the simulation." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "cell-4", + "metadata": {}, + "outputs": [], + "source": [ + "celsius_to_kelvin = 273.15\n", + "temp_amb = -6.7 + celsius_to_kelvin\n", + "temp_init_bat_and_cab = 22.0 + celsius_to_kelvin\n", + "\n", + "# load 2020 Chevrolet Bolt BEV with thermal model\n", + "veh = fsim.Vehicle.from_resource(\"2020 Chevrolet Bolt EV thrml.yaml\")\n", + "\n", + "veh_dict = veh.to_pydict()\n", + "veh_dict[\"cabin\"][\"LumpedCabin\"][\"state\"][\"temperature_kelvin\"] = temp_init_bat_and_cab\n", + "veh_dict[\"pt_type\"][\"BEV\"][\"res\"][\"thrml\"][\"RESLumpedThermal\"][\"state\"][\"temperature_kelvin\"] = (\n", + " temp_init_bat_and_cab\n", + ")\n", + "veh = fsim.Vehicle.from_pydict(veh_dict)\n", + "\n", + "veh.set_save_interval(1)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "cell-5", + "metadata": {}, + "outputs": [], + "source": [ + "# load cycle and set ambient temperature\n", + "cyc_dict = fsim.Cycle.from_resource(\"udds.csv\").to_pydict()\n", + "cyc_dict[\"temp_amb_air_kelvin\"] = [temp_amb] * len(cyc_dict[\"time_seconds\"])\n", + "cyc = fsim.Cycle.from_pydict(cyc_dict)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "cell-6", + "metadata": {}, + "outputs": [], + "source": [ + "sd = fsim.SimDrive(veh, cyc)\n", + "sd.walk()\n", + "\n", + "df = sd.to_dataframe()\n", + "sd_dict = sd.to_pydict(flatten=True)" + ] + }, + { + "cell_type": "markdown", + "id": "cell-7", + "metadata": {}, + "source": [ + "## Visualize Results\n", + "\n", + "Battery power, energy, component temperatures, Heating, Ventilation, and\n", + "Air Conditioning (HVAC) power demand, and road loads under warm start,\n", + "cold ambient conditions." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "cell-8", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig_res_pwr, ax_res_pwr = plot_bev_res_pwr(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "cell-9", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig_res_energy, ax_res_energy = plot_bev_res_energy(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "cell-10", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig_temps, ax_temps = plot_bev_temperatures(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "cell-11", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig_hvac, ax_hvac = plot_bev_hvac_pwr(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "cell-12", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plot_road_loads(df, veh, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.14.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/content/bev_thrml_ws_wa.ipynb b/docs/content/bev_thrml_ws_wa.ipynb new file mode 100644 index 000000000..892965e00 --- /dev/null +++ b/docs/content/bev_thrml_ws_wa.ipynb @@ -0,0 +1,254 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "cell-0", + "metadata": {}, + "source": [ + "# BEV Thermal Demo: Warm Start, Warm Ambient\n", + "\n", + "This demo simulates a Battery Electric Vehicle (BEV) with thermal modeling under\n", + "warm start and warm ambient conditions, where the cabin and battery begin\n", + "hot and the surrounding air is also hot." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "cell-1", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "import sys\n", + "from pathlib import Path\n", + "\n", + "import seaborn as sns\n", + "\n", + "sys.path.insert(0, str(next(p / \"demo_scripts\" for p in (Path.cwd(), *Path.cwd().parents) if (p / \"demo_scripts\").is_dir())))\n", + "\n", + "import fastsim as fsim\n", + "from plot_utils import (\n", + " plot_bev_hvac_pwr,\n", + " plot_bev_res_energy,\n", + " plot_bev_res_pwr,\n", + " plot_bev_temperatures,\n", + " plot_road_loads,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "cell-2", + "metadata": {}, + "outputs": [], + "source": [ + "sns.set_theme()\n", + "\n", + "SHOW_PLOTS = os.environ.get(\"SHOW_PLOTS\", \"true\").lower() == \"true\"\n", + "SAVE_FIGS = os.environ.get(\"SAVE_FIGS\", \"false\").lower() == \"true\"" + ] + }, + { + "cell_type": "markdown", + "id": "cell-3", + "metadata": {}, + "source": [ + "## Setup and Simulation\n", + "\n", + "Load a thermal BEV, set warm initial temperatures for the cabin and\n", + "battery with a warm ambient temperature, and run the simulation." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "cell-4", + "metadata": {}, + "outputs": [], + "source": [ + "celsius_to_kelvin = 273.15\n", + "temp_amb = 38.0 + celsius_to_kelvin\n", + "temp_init = 45.0 + celsius_to_kelvin\n", + "\n", + "# load 2020 Chevrolet Bolt BEV with thermal model\n", + "veh = fsim.Vehicle.from_resource(\"2020 Chevrolet Bolt EV thrml.yaml\")\n", + "\n", + "veh_dict = veh.to_pydict()\n", + "veh_dict[\"cabin\"][\"LumpedCabin\"][\"state\"][\"temperature_kelvin\"] = temp_init\n", + "veh_dict[\"pt_type\"][\"BEV\"][\"res\"][\"thrml\"][\"RESLumpedThermal\"][\"state\"][\"temperature_kelvin\"] = (\n", + " temp_init\n", + ")\n", + "veh = fsim.Vehicle.from_pydict(veh_dict)\n", + "\n", + "veh.set_save_interval(1)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "cell-5", + "metadata": {}, + "outputs": [], + "source": [ + "# load cycle and set ambient temperature\n", + "cyc_dict = fsim.Cycle.from_resource(\"udds.csv\").to_pydict()\n", + "cyc_dict[\"temp_amb_air_kelvin\"] = [temp_amb] * len(cyc_dict[\"time_seconds\"])\n", + "cyc = fsim.Cycle.from_pydict(cyc_dict)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "cell-6", + "metadata": {}, + "outputs": [], + "source": [ + "sd = fsim.SimDrive(veh, cyc)\n", + "sd.walk()\n", + "\n", + "df = sd.to_dataframe()\n", + "sd_dict = sd.to_pydict(flatten=True)" + ] + }, + { + "cell_type": "markdown", + "id": "cell-7", + "metadata": {}, + "source": [ + "## Visualize Results\n", + "\n", + "Battery power, energy, component temperatures, Heating, Ventilation, and\n", + "Air Conditioning (HVAC) power demand, and road loads under warm start,\n", + "warm ambient conditions." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "cell-8", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig_res_pwr, ax_res_pwr = plot_bev_res_pwr(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "cell-9", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig_res_energy, ax_res_energy = plot_bev_res_energy(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "cell-10", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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bAAAAAAAfCLlZxAEAAACgtXG5XOJ0OvxdjKBjs9nFavVd3pkAGwAAAAAClNvtlry8LCkuLvB3UYJWVFSsxMcn13ut67oQYAMAAABAgPIE17GxSRIeHuGTIBB7Gy/KykqloCDb3E9ISJGmIsAGAAAAgADkcjm9wXVsbLy/ixOUwsMjzLUG2XFxSU3uLs4kZwAAAAAQgJxOZ7UgEM3Ds399McY9oALsPXv2yOjRo2X27NnVPlTDhw+XQw89tNrljTfe8GtZAQAAAKAl0C289ezfgOoiPnXqVNm1a5c4HHtbDjZt2iQ5OTny7bffSmJiovfx8PBwP5USAAAAAIAAzmDPmjVLdu7cKRER1bs/rF27VpKSkqRjx44SExPjvYSFhfmtrAAAAACAlvOPf/yfvPzyC7U+f+utN8qLLz7n9yoJiAz2+vXr5YknnpDXXntNLrjggv0C7J49e/qtbAAAAAAA/8rPz5fi4uJan7/jjvvEZrOJhHqAXV5eLn//+99lypQp0r9///2e1wC7qKhIJk2aZAJxzWRffvnlcuKJJzb6Pe12/yfubTaryJLXJLLEIY74ruJM6CbumHY6AMDfRUNL1H2Va4QO6j50Ufehi7oPTdR76PJ13btcxAb1FRsbK01ls1maHCv6PcB+6qmnJCoqSi677LIan1+zZo1ERkaa8dmpqakyZ84cue666+Tpp5+WE044ocHvZ7VaJCkpRvztvV+3ypi5/5Kksl17H7RHiSR3F0nqLtLhUJHRf9/7nNtN8B1k4uOj/F0E+Al1H7qo+9BF3Ycm6j10+aruS0pskpFh9UngFwg++eQj+eSTDyUjI0M6dOggF154sRx55NHmudzcHPnPf16UFSv+kPT03RIdHSOjRh0pV199rRkerBORFRcXyr///S9ZvPgXiYuLk8suu8L793//+w3Ss2cvufLKv8lNN10ngwcfJlu2bJJff10kERGRctppp5v3q60hQ5fnSkiINrFnqw2wf/31V3nnnXfkww8/rHW9MX1Ox2V70v1//etfZdmyZfLyyy83KsB2udySl1ck/vbmT5ukqOhgOaldN2nj2CnWvK1icRSL7FlpLo683ZI/6Grv9vGvHS3idokzpY842w4SR5uDzbU7po1f/w80nLZo6kE3L69YnE4XuzCEUPehi7oPXdR9aKLeQ5ev676srFRcLpc4nW5xOKq/XnF5xRJeNbFaLBJRJSCva1vNkUeG2Rq1bUO8+ebr8tprL8vf/36b9OvXX5YtWyq33fYPeeqpF2TgwIPltttuNTHf1Kl3mTm3NDB+8MH7pVOnLnL66WeK2+02Afoll1wujz32jPz88wK55Zab5JFHnpLDDx9uupAXFhaZ/ZSXly8vvPCsXHXVtXLRRZPlp59+lCeeeES6despI0aM2q9sun91P+fmFklx8f7/v9ZpfXsl+DXA/vjjj6WgoEBOO+0072PaHfzuu++WN998U95//32Jjo7e7+90TPbixYsb/b77fjj9oWtKtNy9/RLZ0a2rXDaiq4izTGz528Sau1lsuZvEHZGwt5zOMrHmbBCL2yW2nA0i67/0vo4zpp2U9jxVCo+6z3//DBpFD7qB8FlEy6PuQxd1H7qo+9BEvYcuX9W9Bn61Ofqp+bU+d0T3ZHnizIHe+yc+95OU1FKewzolyAsTB3vvj39pkeQUl9e47UHtYuW1Cw+ThnK73fL227Pkggv+KscfXzHUt2PHTnLUUcdIeHjF5NX33TfNZK09k1mPHXuavPPOm7Jr107v6wwZMkwmT77C3J4w4RxZvnypvPHGqybA3tfgwYfKuedeWLntRJM5X7p0cY0BtkdNDRkN5dcA+6677jJdv6s68sgj5ZZbbpEzzjjDBN/HHHOM/POf/5STTz65WrfxHj16SGvWPbmi4WBjZmU23RYuzsQe5rLfx9kaJlmTfjbBtT1zpdjTfxd7+h9iy14ntsLdYi0r2LutyynxX1wmjraDpLzjSClvN0TExozrAAAAAPwjIyNdsrIyZcCAvUG/0m7eHgkJibJ27Wr57belsm3bFtmwYb1s3ryxWkA8aNDehgDVv/9AmTXr1Rrfs0uXrtXux8TESnl5mTQ3vwbYupZ1TetZ62Oevu8acOsM4/369TP99DXr/fXXX5su4q1Zt5SKAHtTVj26q1ss4orrYC7lnY/c+3hZodgzVog7fO+Afg3AIzbNMxflCouR8k5HSlmX0VLWebS4Eqp/0AAAAAC0Pv+77og6u4hXNffqkbVuu+80arMvH1bvbevLYqnoXm231x5+PvbYQzJnzqcmoO7du6+MGnWUPPvsE9W22Td21C7lOja7JmFh+8eZOq1Vc/P7JGcHotnrhx9+WM455xyT0e7SpYs8/vjjMnJk7R+S1hRgb84qFpfbvd+XoF7CY8TRofoXwBmTJvlH/0vCdiyU8G0/irUkSyI2fmUuqmDErVI85Brf/BMAAAAA/CKqAWOhm2vb+kpNTTXdvzdu3CCDBh1SY4b7ww/fk3vvfUCOP75ini2n0ylZWVmme7nH5s2bqv3dmjWrpWvXbhJIAi7Anj9/frWWCZ1u/d577zUXh8NRZ6tHa9IhIVLCbVYpdbhkV16pue8L7uhUKTn4YnPRSdG0K3n4lu8lbOt3ErZrsZR32Ds+IWz7AolY/aGU9ThFyjofZbqpAwAAAICvnXXWRNOdW8dGd+vWXbZv3ya33nqjXHDBxTJ8+CiTjd66dbPZVhOrzzzzuOTkZJuJ3jy+/fZrOfnkU2Xo0GEyf/4PMnfuF/LQQ48HVGUFXLRa06RmHsESXCu71SrdUqNlze4C2ZJd5LMAuxqL1YzF1osMvVYsZfnitu/dvxFrZ0vUqrfNxRWRKKW9xklpnzOkPG2Y+VsAAAAA8IW//vUyKSwskMsvv8h0No+ICJczzzxHTjpprOnmfdNNt8r06c/IrFkzTbb7uOPGmGBas9QeY8acKE899agJznVI8XXX3STDhwdWz2aLu2rOPURm9MvKKvR3Mcw6dlkOt1jLHRLbDN0w6lWGHYskct1sCV8/R2xFe7yPO2PTpLTXeCkcfnPF2tzw7X63W81a7NnZhcwiHmKo+9BF3Ycu6j40Ue+hy9d1r5NyZWbulJSUtBrHFLdGTqdTSktLTBBdk5KSEu98XKWlpWbb+PgEk9UOC7ObNa2LigolMjKq2lLP+rxmwaOioqrdrun5hu7n5OSY1rFMV6jr2SbWr0GWjt8u0DHcR94rYdt/koi1H0nE+i/EVrBTIjZ8KYWj7ti7scshYuXjAgAAAKDxbDZbrcG18gTXKiIiwlw8Q4c9avr7qs9XvV3XY82BiAkiVpuZnVwvBUf/S8K3/FcsToeZvdxwlkryrKPMsl8l/c+T8rThe58DAAAAABgE2H6UXVgmj3yzTvbkl8q0cQdJQLBHmknPqgrf+oPYCnaIbfUHErn6A3Ek9pCSgRdLyUHniDt879p1AAAAABDKmMnKj8LsVnnj120yb3W65JWUS6Aq63q8ZE+YLcX9zzPrattzNkjsj3dL8szDJeaHu8RasMPfRQQAAAAAvyPA9qPYCLu0jQ33rocdsCwWcbQ/TAqOfVgy/7pE8kdPE0dSL7GWF0j08hliKc31dwkBAAAAwO/oIu5n3VKiZU9BmWzKKpKDO8RLwAuPkZKBF0nJgAslbOsPErZjoThT9nZvj1r8jLjiu0hpz1PN2G4AAAAACBUE2H7WPSVGFm3OkU2BnMGuicUq5V1Gm4uHtWCnxCx6VCyucnEkdJPiQ6+Skn5nidgqZv4DAAAAgGBGF3E/654Sba41g93aucOipWjIteKKSBR77iaJ++4WSX5tlEQtnS5S5v+1xwEAAACgORFg+1m35CAKsCMSpGjYjZJ50UIpOOJucca0F1vRbold8E9JmTXKrLUNAAAAAMGKADtAMth5JQ5xutwSFMJjpPiQyyVr0gLJP/YRccZ3FUt5sTiS+/i7ZAAAAADQbBiD7WdtYsPlyytHSHJ0mFgsFgkqtnAp6X+uGYdtz1wl7qgU71NxX/+flKcNlZJ+E0VsYX4tJgAAAAD4AhlsP9OgOiUmPPiC66qsdnG0Odh7N2z7Aolc/b7EfXerJL85WiJWfyjidvm1iAAAAADQVATYaHHl7Q6VgiPvEVdUqtjytkj819dJ4vunmSW/AAAAAKC1oot4AFi0OVveXrJdeqTGyDVHdZegZ4+S4sGXSXH/8yV62X8kasmzErZnmSR+NEFKe5wi+cc8JO6oZH+XEgAAAICP/N//XS29e/eVZcuWSnZ2ltx2291y6KFDZPbsj+Sjj96TrKws6dKlq1x00SVy+OEjzN9s2bJZnn/+KVm9+k+JjY2V/v0HypQpV0ty8t6hp4GGDHYAKCh1yA8bsuTXLTkSUnRZr6HXSdYFP0hx/wvEbbGKTcdqh8f6u2QAAABAYCsvqv3iKGnAtsWN37YBioqK5P3335Yrrvib3HPPNOnXr798/PH78vLL0+Xyy6+W//znNRk79jSZOvVm+eWXn83fTJ16k7Rv30FefHGm/POf/5YdO7bLww8/IIGMDHYA6FplqS632x3c47Fr4I5pKwXHPiTFgy4Ra2mumRzNcDkkYv0XUtrrVBELbUEAAACAR5sXa1+hp7TrcZI37jXv/dQZg8VSS3Bc1mGE5P7lfe/9lNdGiLUkq8Zty9sOlpyzP290JQwZcri5KI17Xnrpebnqqutk1KgjzWOnnDJO1qxZLTNnviyHHjpUtm7dIqefPkFSU9uY5x999GkpLy+TQEaAHQA6J0aJ1SJSWOaUzMIySY2NkFDkTOknzir3o35/VWJ/vFvKlx0qBaOnVZsoDQAAAEDrkpbW0Xt7z57dkpubK08++ag888zj3sfLy8slMjJS7Ha7/PWvl8lTTz0q7733tgwfPlKOOOJIGTHiCAlkBNgBINxulY4JkbI1p0Q2ZRWHbIC9L7ctXFxhMRK2e6kkvjtWSgZOksLhfxd3ZJK/iwYAAAD4VfqUNbU/uU/vz4xLl9WxbfXes5kX/VzvbRsqImJvnFNWVpGJvv/+B2XAgOqJNE+P3ksvnSJjxpwoP/74gyxa9JPceutNMmLEKHnwwccCttcv/W4DsJs4KmhAnX3B91LS+3SxiFui/nhNkt8YLZEr32JZLwAAAIS2sOjaL/bIBmwb1fhtmyAtrYOEh4fL2rWrJS4urtpFJzTz6NKlm5x//iR54onn5L77HpT5838wY7EDFQF2gOhGgF0jV0x7yT/xWck5411xJPUx40Hi/vt3if3hrpauIgAAAAA+YrfbZeLEC+TNN1+XxYt/MWOyt2/fJtdee4VMm3avZGZmyLhxY2Tu3C/F5XKJw+GQFSuWS2JikndMdiCii3iA6JYcJdFhNnG5/V2SwFTecZRkT/xKopbPkOjFT0nxgAv8XSQAAAAATXDppVNM4Hz77f+Q4uIiiYiIlGOPPV6uv/4miY6OkZtvniovvvicPPjgfSbI1mW+/v3vx6t1NQ80Frc2FYQQp9MlWVmF/i6G2O1WSUqKkezsQnE4XOJwusRmtQTsWIKAUlYoEh7jvRv5+0xxtBkkjvaHSWuwb90jdFD3oYu6D13UfWii3kOXr+teZ8zOzNwpKSlpEhZWudJOK1VUVCQ2m63G4FhD0tLSUjO5WU00CNdtwsLCmqVsB9rPyckxYrPVr/M3GewAYa9nhUGqBde29BUS+8PdZky2LvNVNPwfrKMNAAAABJjo6Io5p2qiScbagmtPd/LWgqgOrZorNk1K+5xhJkGLXj5Dkt4eI2Fbf/R3sQAAAACEIALsADJ9/iY5Z+avMm91ur+L0mq4o5Ilf8yTknPaG+KM6yS2/G2SOPtcif3+9oqu5AAAAADQQgiwA0hmYZlszCyS9RkEhg1V3mW0ZJ/7tRQPmGTuR/3xqiR9eLqIy9kMNQUAAAAA+yPADsClujazFnajuMNjpeCYByRn/FvijO0oxQMuFLHafFtJAAAAAFCL1jNaPKTWwi72d1FatfLOR0n2ed+IO2zvRAr2XUtELFZxtDvEr2UDAAAAELzIYAeQrslR5npLdpE4WRC7ydlsDaiVpSxf4uf+TRI/PEOif32KbuMAAAAAmgUBdgBJi4+UcJtFypxu2ZlX4u/iBA+3W8rbHSoWl0NiFv5bEj4+R6x52/xdKgAAAABBhgA7gNisFumS5BmHTTdxX3FHxEv+ic9K3pgnxBUWK+E7F0rSOydIxJqPfPYeAAAAAECAHWD6to2R3m1ixOV2+7sowcVikdK+Z0n2xK+kvP0QsWq38XnXStzca0Qc9BYAAAAA0HRMchZg7jmln7+LENRcCV0l5y8fmLHY0b8+KZbyIhFbhL+LBQAAAKCBrr/+KjnooAFy5ZXXSKAgwEbosdqlaNiNUtZltDgTupnstuEoFrGGmecBAAAABLaysjJxOBwSSOgiHqDoIt78HO2HiDsqpeKO2y1x/71FEj6ZKNbCXS3w7gAAAACCDam6AONwuuTiN5bK5uxi+WzKcEmMCvN3kUKCNX+rhG+cK9byAkl65yTJO+FpKe98tL+LBQAAAASFzMwMeeGFZ2XlyhWSnr5bYmJiZcSIUXL99TdLRESE6e49dOgwWbdujSxc+LPEx8fLZZddKfHxCfL8809LevoeOfjgQXLrrXdJUlKS93Xz8nLl7rtvkyVLfpW4uDiZPPkKOf74E/32f5LBDjB2m1VySxxS6nDJ5qwifxcnZLjiu0jOOXOkPHWAWIszJWH2BRK98GHWzAYAAEBAKnYU13opc5bWe9vSJmzbEHfdNVXy8/PkkUeekvff/0yuvfYG+fzz2ebi6e49Y8aLMnLkkfLuux/LUUeNlgceuE9efnm63H33P2X69Jdl48YN8uqrL1d73TlzPpW+fQ+SV199SyZNukTuu+9OWbDgR/EXMtgBqHtytOzOL5VNWUUyuGOCv4sTMpyJPSRnwicS++M9ErVilsT8+qSE7fxF8k54Rtwxbf1dPAAAAMDr1LnH17o3hrcZKQ8c/qj3/oRvTpUSZ80r5wxOPlQeH/Gs9/75302Q3LKcGrftm9BPnj9iRqNq4fHHnxW73S5Wa0WO99hjx8irr84wmWmPIUMOl5NPPtXcHjt2vLzzzpty8cWTpUePnuaxI488WtasWV39fx0+Ss4/f5K5fcop4+SXXxbK22/PklGjjhR/IIMdgLomR5nrTayF3fLskVJwzIOmi7jbHi3h2xdI4qcXmjHaAAAAABonPDxc/vhjubz22gyZNu1eueyyi2TjxvXicrm823To0NF7W7uNq/btO3gfCwsLN5nuqgYOPLja/X79DpING9b5rZrIYAegbsnR5loz2PCP0j5/EUebgyX+q6ul4Ii79s40DgAAAASAz0/8ptbnbJbqedQPjv+81m2t+2z75jEf1Hvbhpg27V75/vtv5eijj5XevfvKuHGny6OPPlS93Lb9w1Orte7zcJvNts8jlhpfp6UQYAcgAuzA4EzqJdnnfCFi3fulte/+TRzJfUXCKnoZAAAAAP4QZY/y+7b1tWfPbjNW+l//elhGjz7WPKbLa2Vk7BF3E3uK6rjsqv78c6V0795D/IUu4gGoe0pFBntHbomUlDv9XZzQViW4tmWvk4TZ50nih2eINW+rX4sFAAAAtBYREREm06zBb0VgnSH//OfdkpubK2VljZ84TX333Tfyww/fmdf9+uuv5Jtv5spFF10q/kKAHYCSo8NkYFqcHN0zRQrLCLADhaUkR8QWLmEZKyTpvbEStm2+v4sEAAAABLyEhES5/fZ75Kuv5siYMUfKVVdNlrS0DnLaaWfIqlUrm/TaY8eeJq+/PlOOO26UPPfcU3LrrXfKYYcNFX+xuJuak29lnE6XZGUV+rsYYrdbJSkpRrKzC8Xh2DuwH4HNmr9d4r+4XMLSl4vbYpPCI+6U4kGTGzRGm7oPXdR96KLuQxd1H5qo99Dl67ovLy+TzMydkpKSZib4CgZut1sslefOTqfTXHQCtPLycvO4zjTu2U4nNNPnPNtrllofDwsLM/f1b3RWcs2O62RpnhnKfb2fk5NjxGar32uTwQYawBXXUXLO/EBK+k4Qi9tplvSK++b/RBzF7EcAAADgADzBstLAWANopUGzJ7j2bKddy6tur897gmvP33gmOWtscO1rgVEK1EhbZ/JKytk7gcYeJfnHPyEFR95jstiRqz+QqOWNWw8QAAAAQPBgFvEAtWx7rlz/4R/SLi5C3vmr/8YQoBYWixQPvkwcKQdJ1O+vSPHgKewqAAAAIMQRYAeotnERZoKzLdnF4nC5xX6A9d/gH+WdjjAXL5dTwnb8XP0xAAAAACGBLuIBSjPXkXarCa635TC+t7WI+fEeSfxkokT/8oT28fd3cQAAAAC0IALsAGW1WKRbcsV62Bszi/xdHNSHBtS2ikkaYhY9UjH5mbNp6/oBAAAAIbbwU6vevwTYAax7SkWAvSmLALtVsFjMsl35ox/0Tn6WMPt8sZRk+7tkAAAAaIU8M2SXlZG0aU6e/WuzNX0ENWOwW0GATQa7dSkZeKE44ztL/FdXSviOhZL4/mmSN+41cSb28HfRAAAA0IpYrTaJioqVgoKKhE14ePVlq9A0FWttl5r9q/vZF0t9EWAHsO50EW+1yruMlpwzP5aEzy8We+4mSfjkXMm68AcRW4S/iwYAAIBWJD4+2Vx7gmz4ngbXnv3cVATYAaxXmxg5skeyHNQu1t9FQSM4U/pK9lmfSsIXl0nRoVcRXAMAAKDBNGOdkJAicXFJ4nQ62IM+pt3CfZG59iDADmCdEqPk8b8M9Hcx0ATu6DaSc+ZHIpa9X1pLcaZIUgz7FQAAAPWmQaDVWjGhLgIXk5wBza1KcG3N2yLxs44XmXeXiNvFvgcAAACCCAF2Kxh4n1VUJnvymTkwGIRv/Z9Yi/aIzH9SoufqMl7l/i4SAAAAAB8hwA5wMxdtlZOe/1leXLDZ30WBD5QMuFAKT3hcxGKTiD/fl4TP/yqWsgL2LQAAABAECLADXMeESHO9kbWwg0ZZ/4ki578jbnuUhG/9XhI+PkcsRen+LhYAAACAJiLAbiVrYW/KKjLdxREkep8g+RPeF1dksoSlL5ekD84Qa/52f5cKAAAAQBMQYAe4LknRYrWI5JU4JLOI8brBxNn+UMmZ8LE447uIKyJB3BHx/i4SAAAAgCZgma4AF2G3mm7iW3NKZFNmkaTGMDV/MHEm9pCcMz8UtzVM3OFx/i4OAAAAgGDJYLtcLnniiSdk2bJl1R7PycmRmTNnykMPPSRz5swx24WSbskV3cQ3ZBb5uyhoBq6Y9uKOSvHej1r2HwnbNp99DQAAALQyARVgv/zyy/L888/L+vXrvY/t2rVLxo8fLz///LPExMTII488IjfccIOEku4pMd5x2Ahu4RvnSeyP90jCZxdJ+Iav/F0cAAAAAK2xi/iff/4pL7zwgtjt1Yv09NNPS69evWT69Onm/l/+8hc5+eSTZcGCBTJq1CgJBcO6JkqZ0yXDuiT6uyhoZmWdj5LS7idJxMavJP7LKZJ//KNS2vcs9jsAAADQCgREBru0tFRuvvlmue666yQ8vPoY42+++cYE1B4dO3aUIUOGyLx58yRUDO+aJDcd21OO6rm3GzGClD1S8k5+QUr6niUWt1Piv/4/iVw+w9+lAgAAANBaAmzt9t22bVuZNGlStcczMzMlOztbunbtWu3xLl26yLp161q4lEALsdol//jHpGjQpeZu3A93SdTiZ9j9AAAAQIDzexdx7eo9e/Zsc7FYLNWey8vLM9c69roqvV9QUNDo97Tb/d+uYLNZq10fSF5JuWzIKJJOiZGSGhvRzKWD/+veKqXH3C+WyASJWvS4xP78oLi6jBJn2lAqpxVr6PcewYO6D13UfWii3kMXdQ+/Btg6O/itt94q9957r7Rr167ef+d2u8VqbdwJqtVqkaSk6gG7P8XHR9Vru+teXig/rM2QhyYcLBMPT272ciFA6n7sPSLxCSIup8T3H021BIn6fu8RfKj70EXdhybqPXRR96HLrwG2TmpWUlIiixYtMhdVXl5ustl79uyRc8891zyWn59f7e/0fkJCQqPe0+VyS15eUUC0bukXLy+vWJzOAy871jm+Imv9x5ZsObEXY7Fbs4bWvQyYUnGdXVhxXV5kxmqLhSxo0Nc9ggZ1H7qo+9BEvYcu6j446flbfXsg+jXAHj16tJm0bF9t2rSRTp06SWJiohmbvWHDBhk5cqT3eV3G69BDD230+zocgXNiqyfZ9SlP16SKjNf6jMKAKj+av+6rspQVSMKnF4gjuY8UjH5QxGqjCkKk7hEcqPvQRd2HJuo9dFH3ocuvAfaIESPMpapHH33UBNPjxo0z98eOHSsffPCBTJgwQSIjI2X58uXmcscdd0hIroWd6f/sO/wnbOcise9eKmG7FovFUWomQ9NJ0QAAAAD4X8D3Mb366qtNt3Fd//rGG2+USy+9VKZMmSIDBw6UUNI9Odpc78wrleJyp7+LAz8p63qc5J/wjLgtNolc86HEz/2biLOM+gAAAAACQMClvnTSs8GDB3vv61hrzWD/8MMPZskuDa779esnoSYxOkwSo8Ikp7hcNmcVSb92cf4uEvyktPd4cdsiJP6rqyRi/ecS7yyTvJOni9iYXR4AAADwp4DLYE+cOFF69uxZ7bHw8HA5/vjj5ayzzgrJ4Nqje0pFFntjFt3EQ11Zj5Mkd+zLJtCO2DRP4r+YIuIs9XexAAAAgJAWcAE2ajdhUJr8/bieMrB9PLsJUt71WMk99VUTZIft+U2s+TvYKwAAAIAfBVwXcdTupIPasntQTXnnI02Q7YpuI67E7uwdAAAAwI8IsIEgCLKrsmWsFGdSbxFbmN/KBAAAAIQiuoi3Im63W1btzpfPV+yWMtbQRQ3Cts2XpA9Ol7h514q4HOwjAAAAoAWRwW5lrnp3uRSWOaVvu1jplVqxNjbgYXGUmMA6cv1nIvOskn/CU6yTDQAAALQQMtitiMVikR6emcQzmUkc+yvrdrzknfyiuK1hErlutsR9/X8iLtZNBwAAAFoCAXYr0yOlImu9IaPQ30VBgCrrfoLknTRd3Fa7RK79WOK+uYEgGwAAAGgBBNitDGtho77rZOed9HxFkL3mQ4n97h8ibhc7DwAAAGhGBNitNMDeQBdxHEBZj1Mk74RnxG2xirUkh0nPAAAAgGbGJGetjGcM9pbsYil3uiTMRhsJalfWa5zkRqdKebshLNsFAAAANDOis1amXVyERIfZxOlyy9acYn8XB61AeYcRe4Nrt1vCtv7o7yIBAAAAQYkMdiucSfyWMb0kMSpM2sdF+rs4aE3cbon97haJWvmm5B91n5QMutTfJQIAAACCCgF2KzS2fzt/FwGtkcUirui25mbcD3eJ2KOlpP+5/i4VAAAAEDToIg6EkKJhN0nR4Cnmts4sHrF2tr+LBAAAAAQNAuxWqKDUIXP/3CPvLNnu76KgtbFYpPCIO6V4wIVicbsk7uvrJHzjPH+XCgAAAAgKBNitUH6pQ27//E954vsN4nCytjEayGKRgtHTpKTPmWJxOST+qyuZ+AwAAADwAQLsVjqTeFSYVRwut2zLKfF3cdAaWaySf/xjUtrjZBG3U6wl2f4uEQAAANDqMclZK2S1WKRbcrSs2l0gGzILpVvl2thAwz5Idsk78Vmx71kujrTD2XkAAABAE5HBbqV6pMaY6w2ZRf4uClozW0S14NpauEuseVv9WiQAAACgtSLAbqV6JFdkrTcSYMNHrLmbJPGDv0jC7PPEUpTOfgUAAAAaiAC7lepe2S18YxYZbPiILUJE3GLP3SQJn04SS2keuxYAAABoAALsVqpHakWAvTmryEx2BjSVKzZNcse/Ka6oFAnL+EPi51wq4mASPQAAAKC+LG63u17R2RtvvCG5ubnSGBdccIEkJCRIIHA6XZKVVejvYojdbpUZ66fL7rx0cdUQIKdGpsrkvld677+8+gXJKKnebXdXXqnERdolLTZZrjroWu/jr62dITuLdtT4vlH2aLluwI3e+2+tf122FGyucdswa5jcePAt3vvvb3xH1uetrfV/+seg28VisZjbn2z+QP7MWVXrtjcM/LuEm4ypyJytn8rvWctq3faa/jdITFjFmPN527+UJRm/1rrtFf3+JokRSeb2dzu/kYV7fqp120v7TJE2UW3N7fm7/yc/7vpfrdtO6n2JdIjuaG7ra+pr1+bcnhdK19hu5raWVctcldVqkfBwu5SVOeQvXc+WXvF9zOO6D3Rf1GZ81zPloMT+5vafOSvlk80f1rrtKZ3HyaDkQ8zt9Xnr5P2Nb9e67ZiOJ8mQ1Ipx2FsKNsk7K5+RsM3/FYurXFxxHaWs4yg9VJjnR6cdJyPa6n0xnzH9rNVmVLuj5Kj2o83t9JJ0mbH6hVq3HdZmhBzbYYy5nVuWI9NXPVPrtoemDJETO51ibhc5CuXpFY/Xuu3A5EFyaufx5naZs0we/+PftW7bN+EgOaPbBO/9h5b9s9Zte8T1lLN7nOe9//jv/5YyV1mN23aO7SLn97zI+72fvuYpyS7MrfF73z46TS7uPdl7X/eD7o+a1OcY4REfnsAxws/HiKrf+3O6X1DnMaKqCd3PCbhjxFvrZ9W6LceI/Y8R+r1/+s9HpaC4qMbvfdVjhHp6xWNS5Ki5dxrHiNZzHlH1O6/17svziEA+RqDiO5+UFCPZ2YXicLCcbrBITo4Rm83q21nEZ86cKVu2bGlUgU499dSACbADybzN82R7wfYan9MDa9WTZz1wbyrYuP+G+SJt89tVO3n+ac98WZ1bc3AbH5ZQLcD+JX2h/Ja1pMZtI6wR1QLsJRm/yM/pC+oMsD1+y1wq3+/6ttZtq5ZBfxC+2j6n1m2n9LtaYqTih3Flzoo6t72o96WSKBU/jKtz/6xz23N6nCdtpOKHcV3e2jq31R8lzw+j1kNd22rw5/lh3Fq4uc5tj2x7jPeHcUfR9jq3Hd52pPeHcXfxrjq31R9Fzw9jesmeOrftk9DP+8OYXZotX2QsEInRkxa95Ips/8K7rf5fngA7ryy3ztdtF9XeG2AXlhfUua0GgJ4Au9hZXOe2EbYIb4Bd7iqvc1u3uL0BtktcdW5b7CyqFmDXte2wNiOrBdjzdnwlJc7iGrfVeqh68vzlpi8lqySrxm37xPerFmD/b9d/ZVfxzqYdI0SkbSTHiEA6RozpcHK9jxFHtz824I4RdW3LMaLmY8RnGz6TYkf9jhH/3fm15NTSsMYxYi/OIwLzGAGggct0ffHFF9KlS5cG7bdTTqk4Ecb+Lh14qaTnZtXYoq0BR1Vndz+v1kxWtL0i+PT4S9ezJKs0s8ZtPa29Hqd2GW+yhzWxWWzV7p/c6VTvwfZAxnQ8Ufom9Kv1ebs1rFrGw3OyWZNIW5T39hFtj5J2ke1q3TYuLM57e3ibkZIQVnvDTlJ4svf2kJTDTYNCbdpGVpxkK90HU/peXeu2npNs1T9x4H7baqt2VHS4FBeVSZfYrt7H+yT0rfN1NSPi0T2uZ53bajbWo3NMlzq3HZB0cLXsiGdbW/YaifjzA3FHJUvxwItE7FEyOOVQ77baal/f102KSKq7vIl7yxtrj6tz257xvb23I2yRdW7bLa6797bdYq9z204xnavdr2vbtOgO1e5f0udycbocNW7ryW54XDHoCsnOz6vxe58Usfczqc7rOck0TtSEY0TrOkZU/d4f6BhRVSAfI2rCMaLmY8Q1h1wj+YU1Z7D3PUZM6nWplDprHp7DMaL1nEdU/c5rvfvyPCKQjxEAGtBF/Morr5S7775b0tLSGrTfGvt3odBFvKndR3T89bdrMyQ2wi5nH1L9xxyBqzV1HQrfOE/K04aKO7Ii44fQqXv4FnUfuqj70ES9hy7qPjg1pIt4vSc5mz59ugmSNR7Py9t/duElS5ZIYWFhrX8H39uUVSzP/bhJPlpecxdSoKnKup9QLbhm+S4AAADAR7OIr1+/XsaPHy8vv/zyfs9NnTpVRo8eLV9//XVDXhJN0KNyqS7NZDuZSRzNLPL3VyXl9VEStmMh+xoAAABoSoCtM4j/9a9/NVnqvn377vf8TTfdJP369ZPrr79efv219tkZ4TsdEiIlwm6VMqdbduSynBKakdst4Vv/JxZHsVm+y5a5mt0NAAAANDbAfuuttyQ5OVk+/vhjGTt27H7Pn3jiifLqq6+a66effrq+L4smsFkt0jWpYuKODZk1L+kB+ITFInknPiPlaYeLtTRXEj67UKz5NS8FBwAAAISqegfYCxculKuvvlri4+Nr3cZms5mu4osXLxan0+mrMqIO3Su7iW/M9P/EbQhy9ijJHTtDHEm9xVawUxI+mySWkppntgcAAABCUb0D7PT0dOnefe+SN7Vp27atJCYmSkZGRlPLhnromVqxRBcZbLQEnfAs97RZ4oxpJ/as1RL/xWQRB8MTAAAAgAYF2ElJSZKZWfPaylVp5jo/P7/OTDd8p3tyRQZ7UxZdxNEyXHEdTZDtCo+T8B0LJWLtbHY9AAAAoJ0+67sXBg8eLJ9++qmMHDmyzu2++uorSUlJkaioirHBaF5DuyTKWxcPkS6J7G+0HGfKQZI39mWx714mpf3OZtcDAAAADclgn3XWWfLZZ5/JrFmzzFrYNVm6dKnce++9MnHiRHZuC4mNsEuv1BgJtzdoxTWgyco7jpLiw64yE6AZbhd7FQAAACGt3hnsbt26ya233ir33XefvPPOO2bN686dO4vVapU9e/bIokWLzERoo0aNkksvvbR5Sw0goFjK8iX+yyukpM+ZUtrvLH8XBwAAAAjsAFudf/750rFjR3niiSfkpZdeqvacBtsagE+aNMnMJo6W8+OGTPl2TYbpLj62fzt2PVpc5Kp3zDrZYdsXiCumnZR3PopaAAAAQMhpUICtNHOtlx07dpiLTmrWvn176dq1a/OUEAe0ek+BfLpit7jcbgJs+EXxoEvFvnupRK79ROK/uFwKRv9L3GE6w71bHKkHiyu+k9nOWrhbwnYsNI9LDUNNHG0HiTOxh7ltKcqQ8O3za31PR0p/cSb3rti2JFvCt3xf+7bJfcSZ2r9i27J8Cd/8bQ1bVXR1dyT2FGebARUPlRdJxMa5tb6uM6GbONodUnmnVCLWf1H7tvGdRTodXnHH5ZSINZ/Uuq0rNk3KOwz33o9Y83Ht28a0Nd31PcLXfSYWl6PmbaNSqjV+hG/4QiyO0r0beLr767YRiVLeZfTebTfOE0t5zcsBusPjpKzb8Xu33fSN2c81bmuPkrIeJ3nvh235Xqwl2TVvawuTsp6n7t12649iLa5lhQqLVUp7j9+77Y6fzeetNqW9xnv/X/vOX8SWv732bbUMtrCKbXctFlveltq37XGyWdLObLtnudhyNpjbVptFJCZSwgpLxOas+OyXdjtBJLxiJQhb+gqxZ6+p9XXLuh4n7oiEim0z/xR75p+1b9v5aHFHJVdsm71O7Ol/1L5tpyPEHd2moow5GyUsfXkNW1Xsp/K0w81n02ybt0XCdi2p9XXL2w/d+73P3yFhOxfVvm27Q8SV0K1i28JdErb951q33e8Yse3H2rdNHdC4Y0RpXi3HiArOpF7iaDOw3scI6XhY5ZuUSsSaz2rfNr6LONoP2XuMWPdp7dvGdhBHh2He+xFr6zieROsxYmQjjxFfisVZWvO2EQlS3uWYFjhGfFf7McIaJmW9xu1zjEivvLf3eKbfdbfFVn3b7T/VfYzofXojjxFLxJa/VaxW/c5HSFhhqdhce3/vSrufWOMxosbX3e8YsbbWbcu6Htv4Y0TGitq37TjKe4zQsmqZa6O/W55jBBDKGhxge3To0MFc4H/dU1iqC35msUr+8Y+Zk5XwHT9L/NfXe5/KP/YRKel/rrmtJ/rxc6+u9WXyj7rPe/Jsz1kn8XP/Vuu2BSOnSnHlybMtb6vEz7um1m0Lh14vRZUnz9aCXXW+btHgKVJYGWDrSV1dr1s8YJIUVAbYlvKiOrct6TtBir0Bdlmd25b2OKVagB0371qxaKNEDcq6HCO5VQLsuG9vEmstJ7llacMlt8rJc9x3U2sNWMvbHCw5VQLs2B/vrjWwdCT1qnbyHPPTNLOMW22BQVaVk+eYhQ9L2J7fatxWg/zMKgF29OKnJHz7ghq3ddsiqgXYUUunS8Smr6U26b1O856ARy2fIZF1BDMZ3caYYF9FrnhTov58p/ZtL1lqAgSz7Z/vStTvM6s9H1vlduaF88VVefIcufZjiV76fK2vm3XuPHFWnjxHbPhCYhY9Wuu22RNmi6Py5FkDmdgF99e6bc7p70h55clz+LYfJO7722rdNnfsK1JWefIctmORxH/zf7Vum3fic1JaGWDb9yyt8/NujhGVAbY9Y2Xd2+57jKhj20YfIwp317mtHiM8AXZ9jhEllQG2Bp/x866t8xiR7w2wD3yMyKsSYMfNveYAx4iRjTxG3HqAY8QxLXCMeKTuY0SVoPlAx4iMKttG/fZC3ccIczxpzDHijWrHiNgGHiMkgI8RYdt+rPcxAghlDQqwf/31V/nll19Mtvrkk08246/hfz0ql+ramFlkstjWKlkooMXYIszM4rE/3F3RIm8+hxZxRad6N3FFJUuZOdGreK5qxtQ8X+WH2RUeb1rOK+z/mXbFdvTedofHSlmnI2stmjO+a/XsSMcj9tli74mpM7Hb3kdt4XW/blLPvXes9jq31QxZlY3r3jalX7X75Z2OqDHjb7atDAq823YYUWvGab/XTTvcZOv25xZnQvfq27Y7TJxxnWt8XVdc9cbW8vaHiavyhGy/baNSqpep7eDK3g41lCK8+qmpo83BpjGnxm2tYdW3TTlILOXF3v+nps+QhzO5r5R1qjlDZv7aYquWvayr7qRKORyJPSo+axaL+aiH2W1S7nDurUp75N7XTehW5+u67dF7t43rXMNnuMq24XFVtu1Y9+tWnpArV0z7Or8brsikvbej29RZhqr17I5KrbMM2guj6nvUue2+x4iq2+7zHdnvGFFHeasdI8Ki6/7eJ3avfoyo63WrHCNMtrXTUfU7RlgaeIyo0sh2wGNEx5FicZQ04hhR/XtUdT+YbdsPMVn4mrhim3CMaDd4v2OBx77HjhqPEZ7PRWUA7N02pX+t+6FBxwi3e/9jRMcjxGKxSFiYVcrLXdUnB7ba9z9G1MYe0bhjRHznuretcozQuqn4rbXU4xiRVvvrut3mNx6AiMVd25Tg+3jvvffklVdeMeOw58+fL9HR0fLoo7W3jgUqp9MlWVk1t9y2JLvdKklJMZKdXSgOR9NmX3a43HLUkz+a608uGyYdEvaetCHw+LLu0bpQ96GLug9d1H1oot5DF3UfnJKTY8Rms/o2g/3222/LtGnT5JBDDpHzzjvPzBaek5MjiYmJTSkrfMButUjX5ChZn1EkGzILCbABAAAAwA/q3cc7LS1Nli1bZm6vX7/edH2Jiam5Wx9aXvfkGG83cQAAAABAy6t3Bnvq1Kly4403yquvvmqC64cffljCwqqPZ4H/9EiNFlkjklFYRjUAAAAAQCAH2Lr+9TvvvCOlpaUSEbF30gUEhvMO6ygXDu0kUWGsQQ4AAAAAAd1FfMGCBVJUVNTg4Nrzd2hesRF2gmsAAAAAaA0B9t133y3p6ekNfoPG/h0AAAAAAEG7Dvbrr78uCQl718Orj9zc3IaWCY004+ct8vPmbJkysqsM7cLs7gAAAAAQkAG2zWaTN998s1FvopOiofmtTS+Qpdty5c89BQTYAAAAABCoAfaXX37ZvCVBk3VPiTbXGzML2ZsAAAAAEKhjsBH4uqewFjYAAAAA+AsBdhDpUZnB3pBZJG6329/FAQAAAICQQoAdRLokRYnNIlJY5pQ9BWX+Lg4AAAAAhBQC7CASZrNK56Qoc3sD47ABAAAAIHCX6ULg65ESI0VlTnMBAAAAALQcAuwg869xB4ndyrJoAAAAANBquohv2rRJCgsrloPSCbVmzJgh119/vbz11lu+LB8aiOAaAAAAAFpRgL148WIZN26cZGRkmPuvv/66PPTQQ7J06VK5//775ZlnnvF1OQEAAAAACL4Ae9asWXLmmWdKx44dzf0PP/xQTjrpJPnf//4nL7/8sgm4nU7GAPuD9ia47oPf5ZTpP0t6QalfygAAAAAAoahRAfa6devk3HPPFbvdLunp6bJq1SqZMGGCeW7kyJHmcU92Gy3LYrHIjtwSySgsM+thAwAAAAACOMC22Wze2999952EhYXJsGHDqmVR9TH4R/eUaHNNgA0AAAAAAR5g9+vXz3QTX79+vcycOVOGDx8uUVEV6y//8ccfUlZWJomJib4uK+qpR2WAvZG1sAEAAAAgsAPsyy+/XL755hsZO3asbN68Wa688krvc3//+9/lrLPOEqu10ROUwwdrYauNdBEHAAAAgMBeB7tnz54ye/ZsM5v4gAEDpGvXrt7nNNjWwLuhcnNzJTs7Wzp37lytC7pas2bNfpOmtWvXTpKTkxtT/JDqIq7d9XVcNgAAAAAgAANsT4DbrVs3+fzzz2XPnj1y3XXXyaJFi+T4449v0Pjr0tJSufXWW80M5PHx8SYgfPDBB2XEiBHm+ZKSEjn99NOle/fu1V538uTJMn78+MYWP6h1TY4Wq0Ukr8QhmUXlkhoT7u8iAQAAAEDQa1SArUHwP//5TzMO2+OSSy6Rxx57TB555BF55ZVXTCa6Ph599FHTzfz777+X2NhYefbZZ+Waa66R//73vxIXF2dmLNf3e++99yQmpqLrM+oWYbfKgPZxYrdZpaDUQYANAAAAAC2gUQOl33//ffnkk09k2rRpsnDhQunSpYt5fPr06dK+fXu599576/1aa9eulauvvtoE1+rCCy+U/Px8+fXXX73Pp6WlEVw30IzzD5UXJw6WbskV3cUBAAAAAAGYwdbx13feeafpul1Vjx495Omnn5bRo0ebrt8REREHfC3Ndle1c+dOc+2ZhVzHX+vr6uvpcxrAR0ZGNqbYAAAAAAAEVoCdmZkpffr0qfG5pKQkk23WCcs0GK6vrKwsWbJkiTzxxBNywgknyKGHHurNYOtyYCeddJLY7XbZtWuXXHDBBfKPf/xjv8nQ6stu9/8M5zabtdp1cylzuCQ8AP5ftHzdI/BQ96GLug9d1H1oot5DF3WPRgXYHTt2lHnz5slBBx2033O///67FBUVNXiG72+//da8pgbvOsGZTm6mmWoNojUjfvvtt0t4eLgsX75cLr74YklJSZEpU6Y0uOxWq0WSkgJnLHd8fMX64b62NatIzv/Pz1JQ4pAld57ATOIBqLnqHoGPug9d1H3oou5DE/Ueuqj70NWoAHvixIly7bXXSk5OjowbN84soZWeni7Lli2Thx9+2DymwXBD6NrZetFM9plnnmkeu+OOO+SFF16ott2gQYPkjDPOkM8++6xRAbbL5Za8vCIJhNYt/eLl5RWL0+ny+euHOZ2yPbtYXG6RNVuzpW3cgbvrIzjqHoGLug9d1H3oou5DE/Ueuqj74KTn7vXtfdqoAHvMmDFyww03yJNPPilvvPGGeUy7batRo0bJ1KlT6/U6ZWVlpvu3LsHlGVetme9jjz3WTJ7meV7X2Y6Ojq7WDb2goEAay+EInKBGA6zmKI9NLNIpMUq2ZBfL2t0FkhxV/6XT0LrrHoGPug9d1H3oou5DE/Ueuqj70NXodbA1e6zrUP/www+ye/duEwAPHjxYhgwZ0qDXOe+888w62Oeee673MV2ayzN+Wx+/+eabZdKkSd7nFyxYIIccckhjix4yeqREmwB7fWahDO+W5O/iAAAAAEBQa1SAPWPGDBk4cKAMGzZMzj777Ea/uXYjv/LKK+Xxxx83GexOnTqZGcr/+OMPee2118zzl112mTz11FMmgNe1tT/44AMTgD/44IONft9Q0TM1Rr5blykbMvzfJR4AAAAAgl2jAmxdA7tfv34+KYAG2LqOtgbWeXl5ZnZyHV+tE6mpa665xnQRnzNnjhmf3bt3b7MOd7du3Xzy/sGewVYbMgv9XRQAAAAACHqNCrDT0tLMclm+MnbsWHOpicViMV3R9YKG6ZFaMVv6hswicbvdzCQOAAAAAIEWYB911FFy5513yldffSU9evSQ1NTU/bbRruPx8fG+KCMaqWtSlBycFi/dkqOk1OGSyLDGrRsOAAAAAGimAHvmzJnicDjku+++M5faZhonwPavMJtVZpzPZHAAAAAAELAB9ueff266HNeloetgAwAAAAAQcgG2rkHtdDrr3EbXs7bZ6JIcCMocLskpLpe2cRH+LgoAAAAABK1GBdgTJ06ULVu21LnN3Llzzezf8K8FG7Pkxo/+kL7t4uTVCw6lOgAAAAAgkALs66+/XvLz86s9VlZWJhs3bjRLeOnSWu3atfNVGdEEHeIjxekW2ZBRKC63W6wWC/sTAAAAAAIlwB43blytz5100kny4IMPyuTJk5tSLvhIp6QoCbNZpMThkp15JdIxIYp9CwAAAADNwOrrFxw5cqRkZmZKVlaWr18ajWC3WqRbcrS5vSGjiH0IAAAAAK0lwNbAOjc3V1wul69fGo3UI6UywM4kwAYAAACA5tKoLuIffvih5OXl1Ti7+GeffSY9e/aU1NRUX5QPPtAzNUZE0mV9RiH7EwAAAAACKcB+/vnna5xF3Gq1yuGHHy533HGHL8oGHyGDDQAAAAABGmDPnj17vy7gFotFIiIiWPs6APVtGysn9WsjB7WL83dRAAAAACBoNWoM9po1a0wgHRMT471ER0ebx4qKiuTjjz82y3YhMLSPj5R/nnqQXDC0k7+LAgAAAABBq1EB9s033yy7d++u8TkNtKdNm2ZmEgcAAAAAIFTUu4v4o48+Kr///ru5vWfPHrnlllskMjJyv+1ycnKkuLhYEhISfFtSNInT5ZZtOcXiFvEu2wUAAAAA8EMG+8QTTxSn02kubrfbe7vqRcdld+jQwQTjmslG4Hjj121y1iu/yksLNvu7KAAAAAAQ2hnsgw8+WF5//XVze/LkyXL//febYBqtQ49U1sIGAAAAgICbRfzll18217m5uVJYWOidUVwz2yUlJbJixQo5+uijJTk52belRaP1SNG1sEU2ZRWJw+kSu61Rw+8BAAAAAL4MsLOysuSmm26SBQsW1LrNvHnzCLADSPv4CIkKs0pxuUu25pRI9xS68AMAAACALzUqjfn888/L1q1bZerUqdK5c2e59NJL5bbbbpPx48ebpbruvvtu6dKli08LiqaxWizeLPaGzEJ2JwAAAAAEQgZ78eLFcuutt8qYMWNky5YtEhUVJRdffLF57ogjjpB3331Xzj//fF+XFU3UIyVaVuzKl/UZhXJ8nzbsTwAAAADwdwZbx1l37drV3O7Zs6f89ttv3uc0i71+/XpxOBy+KyV8okeqJ4NdxB4FAAAAgEAIsNPS0mTTpk3mdo8ePcz62LpMl3lBq9VcMjMzfVtSNNnhnRPlshFd5PSD27M3AQAAACAQuoiffPLJcu+990p2drYcd9xxUlZWJk899ZSce+65MmfOHMnPz5eUlBRflxVN1LddrLkAAAAAAAIkwJ4wYYL8+eefZjKz4cOHy5VXXilPPPGETJ8+3Tx/xRVXiN3eqJcGAAAAAKBValQUrF3A77zzTrnqqqskLi7OXPfv3990FddrzWojMKUXlMqaPYXSISGSpboAAAAAwN8B9owZM2TgwIEybNgw72OjR482FwS2Fxdslo9/3yWXjugiVx3Rzd/FAQAAAIDQnuTsk08+YZbwVqqnZybxDNbCBgAAAICAmEV8165dPi0IWm4tbMVSXQAAAAAQAF3EjzrqKDMG+6uvvjLLdKWmpu63zdlnny3x8fG+KCOaYS3sbTnFUlLulMgwG/sXAAAAAPwVYM+cOdN0Ef/uu+/MpSZjxowhwA5AKdFhkhBpl9wSh2zOKmbZLgAAAADwZ4D9+eefi9vtrnOb8PDwxpYJzchisZgs9tJtubI+s5AAGwAAAAD8OQZbg+eIiAhZv369vPzyy/LAAw9IYWGh/Pe//5Xy8nLznAZyCOxx2OszivxdFAAAAAAI7Qy2Zq//+c9/yqxZs7yPXXLJJfLYY4/JI488Iq+88op07tzZl+WED43t304GdYiXgWmMkQcAAAAAv2aw33//fbNU17Rp02ThwoXSpUsX8/j06dOlffv2cu+991JDAUyDaw2yuyRF+bsoAAAAABDaGezZs2ebWcRPP/30ao/rjOJPP/20jB49WkpLS01XcQAAAAAAQkGjMtiZmZnSp0+fGp9LSkqSmJgYyc7ObmrZ0IyWbc+Vt5dsN8t1AQAAAAD8lMHu2LGjzJs3Tw466KD9nvv999+lqKhIkpOTfVA8NJfp8zfJr1tzJSbcJp0S6SoOAAAAAH4JsCdOnCjXXnut5OTkyLhx48TpdEp6erosW7ZMHn74YfMYy3QFtp6pMSbA3pDJTOIAAAAA4LcAe8yYMXLDDTfIk08+KW+88YZ57IILLjDXo0aNkqlTp/qkcGiJpboK2c0AAAAA4K8AW02ZMkXGjx8vP/zwg+zevVuio6Nl8ODBMmTIEF+UC82sR0qMuSaDDQAAAAB+DrDV1q1bzSUjI0MSEhIkLy/PdBe32Ww+Kh6aS4/Uigz27vxSKSh1SGxEkz4KAAAAABDyGhVVlZeXy4033ihz584Vi8UiiYmJkp+fLzNmzJCDDz5YXnrpJTObOAJXfGSYtIkNl/SCMtmYWSQHd4j3d5EAAAAAIPSW6XrllVdk4cKF8uijj8ry5cvl559/Ntc6HluD73vuucf3JYXPMQ4bAAAAAPycwf7mm2/kjjvuMLOFe2i38KFDh8qLL74oxx9/vFmqS8dlI3BdMaqbTBmlM4pTTwAAAADglwBbg+euXbvW+Fy7du0kJibGdBknwA5sdAsHAAAAAD93ER8+fLi8/PLL4nK59nvu66+/NhOeaaANAAAAAECoaFQGW5fjuuuuu8wyXdpNPC0tTQoKCmTZsmXy+eefyzHHHGO6inuce+65Eh/PJFqBxu12y8e/7zJrYU8Z1dVMfAYAAAAAaMEA+6mnnjLdxNeuXSuPP/54jVlsvXicdNJJBNgBSGeAn/HzFtmVXyrH92kjh3ZK8HeRAAAAACC0Auwvv/zSZD/r/SZ21lgOVD1TY0yAvSGzkAAbAAAAAJqgUZGvzhiO4Fmqa/7GLNmQUeTvogAAAABA6AXYOt76iSeekPnz50t2dnaN2ez3339fOnfu7Isyopkz2Gp9ZiH7GQAAAABaOsB+8skn5b333jNjq3XG8JroUl0IfJ41sNelF5qGEh2XDQAAAABooQD7l19+kQceeEDGjh3bmD9HAOmWHC0aUueWOCSzqFxSY8L9XSQAAAAACJ11sCMjI6VTp06+Lw1aXGSYTTonRZnbG+kmDgAAAAAtG2Dr+te6znVJSUnj3xkB46Hx/eWrq0bI4V2S/F0UAAAAAAitLuITJkyQV155RUaPHi29evUyGe19aRfytm3b+qKMaGa9Kic6AwAAAAC0cID99NNPy5YtW0w38fLycnPZl8vlakKxAAAAAAAIgQD7xx9/lNtuu00uvvhi35cILa6ozCkv/7xZNmcVy79P7y9WZhIHAAAAgJYJsNXw4cMb+6cIMOF2q7y9ZLuUOd2yI7dEOiVWTHoGAAAAAGjmSc5Gjhwpn3/+eWP+FAHIbrWY5brU+oxCfxcHAAAAAEIngz1o0CCZOnWq/P777zJ48GCJjo4Wyz7dis8991yJj4/3VTnRzHqmxsia9EJZn1Eko3uxuwEAAACgRQLsxx57TIqLi+Wnn34yl5qcdNJJBNitLMBW68hgAwAAAEDLBdhffvmluN3uul/Y3ujh3fDjUl10EQcAAACAxmlUFGyz2cz1ypUr5bvvvpM9e/bIddddJ4sWLZIjjzxSYmNjG/R633//vbz99tuSnZ0tw4YNkyuuuEJiYvauzbxkyRKZOXOm7N69WwYOHCh/+9vfJDk5uTFFRy16plaMwd6cXSzlTpeE2Ro1PB8AAAAAQlajoijNXt9///3yl7/8RZ588kl56623JD8/33QdP+OMM2Tr1q31fq25c+fKjTfeKCeccIL83//9nwnSJ0+e7M2QL1++XC699FITWOvzmzZtMsuD1bT2NhqvXVyExITbJNJuld35pexKAAAAAGiJAPv999+XTz75RKZNmyYLFy6ULl26mMenT58u7du3l3vvvbfer/X000/LZZddJmeeeaaMGDFCHnjgAVm6dKm5qGeffVZOOeUUmTJlipm9/JlnnjEZ8zlz5jSm6KiFTlL34eTD5b/XjGKZLgAAAABoqQB79uzZcuedd8qECRMkMTHR+3iPHj1MwKxZ6NLS+mVBH374YZk0aZL3vmfm8dzcXHE6nea1Ro0a5X0+KipKDjvsMJk/f35jio46JEeH7zcbPAAAAACgGQPszMxM6dOnT43PJSUlmfHTOp66Pvr16+cds+1wOEwWPDU1VQ4//HDJyMiQoqIi6dChQ7W/SUtLky1btjSm6AAAAAAABM4kZx07dpR58+bJQQcdtN9zuja2BsUNnYTsvffek0cffdRkrv/973+boFsnNVORkZHVttX7ukxYY9nt/p/Ay1Y5iZjnOhDsyC2RR79dJwWlDnnh3EP8XZygFYh1j5ZB3Ycu6j50UfehiXoPXdQ9GhVgT5w4Ua699lrJycmRcePGma7c6enpsmzZMtPlWx8LDw9v0GuOGTNGjj/+ePn2229l6tSpZqZyndhM6etXpff3Dbrry2q1SFLS3hnK/S0+PkoChTs8TL5dk2Fuh0VHSGwES62FSt2jZVH3oYu6D13UfWii3kMXdR+66h1B3XTTTfKPf/xD2rVrZ4LhG264wcwg/sYbb5jnL7jgAnOt46U1QG4o7VquzjrrLPnpp5/ktddekxkzZpgxwft2N8/KyvJu31Aul1vy8ookEFq39IuXl1csTqdLAoGOvk6NCZeMwjJZsi5dDu5QMR4ewV/3aBnUfeii7kMXdR+aqPfQRd0HJz13r2/v03oH2LpcVklJife+zuo9fvx4+eGHH0xX7ujoaBk8eLAMGTKk3gUtKCgwE5zdfvvtMnToUO/jmv0uKyszr9mzZ09ZtWqVjB492vu8rr996qmnSmM5HIET1GiAFUjl6ZESbQLs1bvy5aC2DVvPHK277tFyqPvQRd2HLuo+NFHvoYu6D11N6gOsS3KdffbZjf57HWetmWjNhOvkZjo52uLFi80SXJoxV/r6L7/8sgmoO3fubMZq6zrbuqwXfK9XmxhZtCVH1mf6P8sPAAAAAK2J3wfZ6oRmt956qxx99NEm2Nbu4Nddd51cdNFF5vkLL7xQ1qxZY9bCTklJMct/Pf744ya4h+/1TKkYn74+o5DdCwAAAADNFWDfdttt9Z5c7IEHHpC2bdsecDtdkus///mPmTAtLy/PzFCuE5x5C2i3y7Rp0+Tmm282M4zr8w2dQA311zM12lwTYAMAAABAMwbYmzdvFqu1foO7dQx1QyQmJppLbXTZr4Yu/YWG65EaI5F2q7SNjZDicqdEhe1t7AAAAAAA+CjA1hnDu3bt2pA/QSujAfX31x0hVovOKQ4AAAAAqK/6paMRUgiuAQAAAKDhCLBRK7fbzd4BAAAAAF8H2G3atKk2+RiC1+878uT81xbLle8u93dRAAAAACD4xmC/+eabzVsSBIzocJusTS+U6DCbyWJbGI8NAAAAAAdEF3Hsp2tSlNitFikqd8rOvFL2EAAAAADUAwE29mO3WaVbMuthAwAAAEBDEGCjRj1TCbABAAAAoCEIsFGjnqkx5npdRiF7CAAAAADqgQAbdQbYGzKL2EMAAAAAUA8E2KhRr9QY6Z4Sba5ZDxsAAAAAfLhMF0JLh4RIefevQ/1dDAAAAABoNchgAwAAAADgAwTYqJPL7ZaCUgd7CQAAAAAOgAAbtfpq1R455un5cu+Xq9lLAAAAAHAABNioVVJ0mBSXu2Q9S3UBAAAAwAERYKNWvdpULNW1LadEisud7CkAAAAAqAMBNmqVHB0uSVFh4haRjayHDQAAAAB1IsBGnXqmRpvrdXQTBwAAAIA6EWCjTj1TK7qJMw4bAAAAAOpGgI16BdgbMorYUwAAAABQB3tdTwL928fJ0T1T5JCO8ewMAAAAAKgDATbq1LdtrDx6xgD2EgAAAAAcAF3EAQAAAADwAQJsHJDb7ZaMglLZnV/K3gIAAACAWhBg44Be+mmznPLCQpnx8xb2FgAAAADUggAbB9QlibWwAQAAAOBACLBxQD1To71rYWt3cQAAAADA/giwcUDdkqPFZrVIYZlTdjEOGwAAAABqRICNAwqzWaV7cmU38fRC9hgAAAAA1IAAGw3qJr4ugwAbAAAAAGpCgI166d0m1lyTwQYAAACAmtlreRyoZmjnBDl/SEc5rFMCewYAAAAAakCAjXoZkBZvLgAAAACAmtFFHAAAAAAAHyDARr0VlDpk6bZc2ZRZxF4DAAAAgH0QYKPenv9xk0x5Z5l88scu9hoAAAAA7IMAG/XWq02MuWYmcQAAAADYHwE26q1XamWAzVrYAAAAALAfAmzUW8/KADujsExyisrZcwAAAABQBQE26i063CYdEyLNbbLYAAAAAFAdATYa1U18Ld3EAQAAAKAaAmw0aqKz9emF7DkAAAAAqMJe9Q5wIKN7pUhKTLgM6hDPzgIAAACAKgiw0SAHtYszFwAAAABAdXQRBwAAAADABwiw0WAbMgtl9h+7ZM2eAvYeAAAAAFQiwEaDzfplm9z/1Rr5bl0Gew8AAAAAKhFgo9Ezia9lJnEAAAAA8CLARqPXwl7HWtgAAAAA4EWAjQbrXZnB3p5TIkVlTvYgAAAAABBgozGSosPNWtjuygnPAAAAAABksNFIvVKjzfU6xmEDAAAAgEEXcTRKr9RYc804bAAAAACoYK+8BhrktIHtZES3ROnTtiLQBgAAAIBQR4CNRumZGmMuAAAAAIAKdBEHAAAAAMAHCLDRaAs2ZslzP26UVbvz2YsAAAAAQh5dxNFon/6xW75eky5xEXY5qF0cexIAAABASCODjUbr3aZiDPZaluoCAAAAAAJsNJ5nkjOW6gIAAAAAAmz4IIO9MbNIHE4X+xIAAABASKOLOBotLT5CYsJt4nC5ZVN2MXsSAAAAQEgLiEnOioqKZOHChZKVlSXdu3eXww47rNrz7777rpSVlVV7bOjQodKvX78WLimqslgsppv48h15sj69UHqxLjYAAACAEOb3AHvFihVyxRVXSKdOnaRbt27y5JNPSu/eveX555+X8PBwyc3NlTvvvFPOOOMMiYmp6JKsdBsERjdxDbA3ZBb6uygAAAAAENoB9l133SXHHXec3HfffeZ+dna2jBs3Tl577TW57LLLZO3atWK32+X+++83ATcCy0WHd5YLh3aSDgmR/i4KAAAAAIRugO1wOOTQQw+Vs846y/tYUlKSDBs2TJYuXWrur1mzRjp37kxwHaAIrAEAAAAgAAJszUzfcccd+z2+ceNGGTBggLmtGexevXrJsmXLZN26ddKxY0cTgFutzM8GAAAAAAgcfu8ivq8vvvhCVq9e7e0yrgG2BtfFxcWSmpoq8+fPN0H2Sy+9JPHx8Y16D7vd/8G5zWatdt2avbt0uyzekiMXDessA9IaVyehJJjqHg1D3Ycu6j50UfehiXoPXdQ9LG632x0ou0EnPJs0aZJcffXVZvy1euKJJ6RHjx4yfvx4c18nPdMJz4466ihvEN4Q+u/q7Nfwnckzf5Fv/twj950+QC4a2Y1dCwAAACAkBUwGe9WqVXLppZeaiye4Vv/3f/9XbbuEhAQ59dRT5auvvmrU+7hcbsnLK5JAaN2Kj4+SvLxicTpd0pp1TayY4GzZ5izJ7tfG38UJeMFU92gY6j50Ufehi7oPTdR76KLug5Oeu9e392lABNi//fabWarrb3/7m1x00UXexwsLC+Wjjz6SMWPGSPv27atloXX8dmM5HIET1GiAFUjlaYyeKdHmes3uwlb/v7SkYKh7NA51H7qo+9BF3Ycm6j10Ufehy++DQH/99VeZPHmyTJ06tVpwraKjo+W5554zS3Z56FhszV6PHj3aD6VFTXqmVqxPrmthuwJnxAEAAAAAtCi/ZrB1PLVmrTt06CAFBQUya9Ys73Pt2rWTE044Qe655x65+eabJScnxyzXNWfOHImKijLjtBEYuiZFSZjNIoVlTtmZVyIdE6L8XSQAAAAACK0AOz093YynVhs2bKj2nNPpNNcnnniizJ49W+bNmydZWVlyySWXyLhx41gXO4DYbVbplhwta9MLZV16EQE2AAAAgJDk1wBb17e+6667Drhdt27d5PLLL2+RMqFxereJkY2ZRZJRWMouBAAAABCSAmKSM7R+Nx7TU+48sY/JZgMAAABAKCLAhk8kRIWxJwEAAACENNKNAAAAAAD4AAE2fObx79bLha8vkT9357NXAQAAAIQcAmz4jM4ivnpPgazZU8heBQAAABByCLDh05nE1Zr0AvYqAAAAgJBDgA2f6ZVaEWCvyyCDDQAAACD0EGDDZ/q0ifV2FXe73exZAAAAACGFABs+0y0lWmwWkbwSh+wpKGPPAgAAAAgpBNjwmQi7VbomR5vb69LpJg4AAAAgtNj9XQAElz5tY8Xhckup0+XvogAAAABAiyLAhk/de0pfsVos7FUAAAAAIYcu4vDtB4rgGgAAAECIIsBGs9BZxF3MJA4AAAAghBBgw+du/niFHPvMAlmzp4C9CwAAACBkEGDD5wrLnVJY5pQ1zCQOAAAAIIQQYMPneqfGmGuW6gIAAAAQSgiw4XO921QE2GvT6SIOAAAAIHQQYKMZA+xCM9kZAAAAAIQCAmz4XPeUGLFZRHJLHJJeUMYeBgAAABASCLDhcxF2q3RJjvZmsQEAAAAgFNj9XQAEp2FdEiUtPkIiw2jDAQAAABAaCLDRLG4+rleL7Nk9+aWyM69ErBaLDEiLM9cAAAAA4A8E2GgVnC63rNyVL8t35MnEwzqK3VoRSL/88xb5cPlOc3tI5wS5+sjuMqhDvJ9LCwAAACAUEWCjWWUVlUl8hF3stoZ3FXe43LJwU7bMW5Mu8zdkSU5xuXl8aJdE6ds21tzukRItnRIjzWRqi7fmyuS3fpOD2sXKaQPby4l920hCVJjP/ycAvrdmT4HM35gla/YUyvbcYumYEClXHdlduiRFsbsBAECrQYCNZjNx5q+yIbNIXr/wUOnXLq7ef5dRUCrv/rZDPluxu9os5HERdjmsU4JIlZW/NJutl205xfLKwi3yxao9smp3gazavU7eXbpd3v3rULE0Y7fxwjKHrEvXgKBEduWVyq78EskrcYi+4wOn9fduN33+JlmfUSgpMeHm0rltnLSJsEmXxEhJjQlv1jLuS5dOKyxzSm5JuegqapF2q6TGRrTY+8N/duWVyM+bsuW37bnyx858SUuIlNtP6C3t4yNbtBz6GdTeKD1TYyQ2ouJnaOHmbHnux03ebfR7/P36TNNQdsbBaTK4Y3yLfk8ABCYdFvb+bzvMb+2Zg9PkoAacX6BCqcMl5U6X9/ibW1wu7/22wzxus1rk2N6p3kQGgIYjwEazSYoOE8msmEm8IQH2il358srCreZ2QqRdTj6orTnYD+4QX2smvFNilNx5Ul/521Hd5ctVe0xwfmyvVO8Juf6QzPh5i3mtrpUznDfVDR/9IT9uyKp1JvWqtHv7T5uya9w2NsImX1wxQiLDbOa+/sDt+/dNkV/ikHeWbjf1sC6j0JyclDv3tlIc2SNZHv/LQO/9537caPan7j8tx+bsItmYWWQaOw7uEF+tC772MDi8a6LPxr7nlZTL7vxSCbNZTcOD/vjrY/9dmyG/bs2VSUM7SZ8A+tHPLCyr2Ke5JbKnoFT25JdJQZnDnPBdPKyzd7s7Pl8lqTER0j01Wk4a3FFiWzBO1Pr+atUe+e+6TPM5rKqgzCmJVXp5LNueK52ToiQ5OrxZyrIjt0Q+X7FbPl+52zRK/evUfnJiv7bmuUM7JZhgul+7WOmQECmf/L7LfGc+X7lHvl6TIV9fPdL7HWlKYK+B/O878+XykV29j/9r7hrJKiqXuEi7xIbbTGOeuR1hl+ToMDmyR0qT/3cADac91/63LtMcE7T3mioud8prv2wzt/U4cXiXRBnbv50c0T1ZEvW8I0CHuW3JLpbd+SXmdzQm3N6i763nVXp8X7mrQFbuzjfHYv2Nuuao7t59+sKCzd6/mblwi5xzaEe5aFhn81sMoGEIsNFsereJNd22NQCpi7acbsoqksEdE8z9o3qmyKkD2slRPZLl6J4pJtiqLw0Mzh/SSc47rKP5UfH4YUOW/OfnLeaiAeLEQzvI8X3amJbaurjcbpPp+3p1uvy6NUdev/Aw79/ER1Z8fdrEhpugPS0uQtrHR0hiVLhEh1vNybwnwL9waCfzf2UVlkl2Sbnkljplza58k3mPCrNVCxxu/mSFbM0ulhHdkmRkt2QZ2iWhQT/GJeVOE6R6GhLCbBaZuWirCdyr0sy1/i96XTUjP3PhVtNJ4P6v1pj1zKvE4nLZiC7eAHvBxiy5/sM/pFdqjEw6vJMc1zu1QQGQllM/H3rS5GlQ+GDZTm8WU/dc27gIE8TqcAENem47obf37x/5dp1szSmWNrER0j4uQtLiI83+75kS0+wnWQWlDjnrlV9N2WpSZvb13gB73up08Xwc//nVGrMPB6bFmXrW4QzagNTURhT9DukJnDYmaZA8pHOit/fEnJV7vPtUT+6Gdk6QHikxphHMU2f6Wf/H7JWSXVQu/dvHmZPVY/ukmvptKg3sX/tlq3y7JsPbASU6zGYyUB4D0+LlX+P2Nt7o50lPCj9avtPUf9XP1pS3f5OOiVFmm2Fdk+rVIKU9SJ74boP8vDnb7Ifj+6SafaB+2ZJjAv6a6Il91QD79V+2msD71P7tJLwRDWF6XNBGo/jIvZ/RVbvz5Y1ft5nAv3+7WNPApQ0fMeE26Z4S7T026t/uzCs1j+ulMUNv6qKfWy3L6j0F5qK9crKLy+U/5x4i0eEV+//f36yTz1bsMo10enjTfR9ht0mEzSIxEXZ5+PT+0jGholu/dvXX406XxCiflXVteoEJrjIKyySzoMwcs7Qs5S7NyLll8ogucsnwLt73v2X2KnOM1kvb2AjpnBgl3VKipWtSVJMabLQuNmcXmx5MehzS23p8115Wf618f/1OXTRrqYTbLJIYGyGRVoupNz2WtYmLkD5tYrzf05ZWVOY0+06Pnx76/dCVP3RYhu4f7WHS1Eat2qQXlJpjTdUG0+s//F1yih0SF2Ez3wFtHFy4Ocf8lp/Ur403wO6SFC1nH9LBBN96bF20Jcdc9Kf54LR4ufHYnuYY1pz7To/9pU6Xt0edHku1d9q+XvrfBvnvqt0muNWeY0ob7a48ops59nvmk2kI/b83ZxWZY/6mrGLzPc0oLDWN4G1jw+XFcw+p2K6oXB757zrTaym3yrG2ah146HC6Mw5ub77P23JKzHCdt5ZsN3PcnDagnQnGW7qnE9CaEWCj2fSuPDFfU8ta2HqCMvuPXfLU/zaKzWKRDycfbk5cNRt6z8l9m/TeGtjaNTqslBylWahkExRq11S9aOAx6fDONZ4o69jxj5fvMif3u/L3/gitSS/wdke76ohu8n+je0hSPbJ9GgToRdntVklKipHs7EIpKnGYE8Wq+2TVrnzzY6jBpl70B1i7xx7VI0WO6Z3iPXmt6cTznSU75Os16SYoePOiIeZxPUHSk05tqOjdJsacYOoPfE0nTnqCesnwzibbqVlrDa41w949OcYsu9ajSrClwZGeLGoDyt1frDYn3hq0aC+Bwzol1th4oUH1d+syZe6fe8wJkZ58PzVhoGlIUNpSnhQVZk6WC0orGgqUlvvMQWmmMcJjybbcWtdZ75YcJa+cf6j5PDmcLlm2I89kmPNLnKYM2lpf5nSZz4mO49fsR030BHnptlz56s89YhGLTK0M8PV1TQOKhtFJUWYegHZxEeYEXhte9OSwap3eeExPE8CtTi+QZdsrPn96Ud1TYrwBtj722qKt8tfhnU3AWdcJ1o8bMmXJ1lxZuj3XnBBVdemILt4T97MGdzCz7Z/Qt40c3Su11myEZnD1ZFuvNbDVy4s/bTYB3gl92siJ/drU2ftDGx20TrKLyuT0g9O8j//9kxWmzj30JFlP2PR/rlqf+9K60X2w737QRoSl2/PMRXuq6GdQGwPG9G1jGuX2DeS0rp//cZPpxaGNHPp9OuuQDpJQJcC9+bieZh/pZy6/1GEu+v/ofdMTp5Ke6L+6aKv5fmqPGP1f9HuhJ/t1HQd02Mv/9Nizs0B+3pBhGgI930/9fOgx8NctOea+ZpaqOrV/W2+Ard+X0/+zyPucngzr/69l7JoULcO7JZnvSUPp91F7FWiD174NcUobbURs3n1QXL53m3Kn0+ynCqWm4cRDj0d6kq77vGtylOly2r9dnAl+NLCqq2FE95n2ENKGzeP6tDGNKZ73115Ktalo3Kqg5apoLNh/O0vl90QDnYY2Zj387TpTrqpDmDw8DRFKh+Do+1f+5X7bjuqeVC3A/uT3naau9RitxyttgNPfH22E1s+a57dHvwMv/1yRbdTvkO7zmAibabTRIE/nIdEGx6q0ker3HXny06YsWbAx28x5oI3MD5x2UGVZ3fL2km3VGlT1GK6NABq0HtY5wWyv/tiZJ4s255jvXZ+2MfUauqHHBX3fxVtzZPG2XPM575kaLW9fPNS7jfYA8jTIa2DtoWWoGjDr5+kfx1esVPK3o7qZXjHfr8s05xp6rPc0fisNbPW3So8D+tnWouo5hjYs62+yp4t0TXS/exqbtCt6TGVD96uLtsiMyl52Venvqp5PXH1kN+9x6KsVu+TXzRW916LCrKa+9Bg7bd5a+d/6zGq9x2r7DdLfQU996ud//EsLq30Hq6r6v+tvtwbK+j3QRh2dCHZA+4rvn/6mVu29pOW6/cQ+3vs/b8qSFxdsNo1+7y/baY6ZAOqPABvNpnfbimBs7Z6CatlcpZnbf81b6z2p1CxZRkFZnT92TXFIpwRz0ZO2j5bvMifbW3NKzI/cSz9tNmO19b31x10zVNoq7ulGrScvR/dKkTF92ngzXsoXrbka2Gsw7KH76OPLhpmgTrvHaoOABmZ64quXb9dmyMvnVbROK92vmpGb9cs2E7B6aHCgrdeeTK4no3Mg+oOrE0vpSef6zCIzQZ1mfmo6gdJAWk8Q3/9tp7chYvYfu81FTzQ0gPC06GtWTBss5q7eU+VkXExQWvW+tujrxdO6/tt2HacbXW2/e2jQqidpevKhY9+1FX9HXokJNvVE0/NZKne55cp3l9f6P2tQVjXA1n2qJ1RfrkqXeav3yJ7Kk2gdrnDLmF7e7vDTzxlsMuZ1BYlK953OE+BpXCm32+Q//11nTtQ1OK/a5V6DNz3p0rHHGoycclBbE9hq4Ft16MD2nGK598s11d5HMxcaAOuJ4+ieezOumrF+/pzBciAaeM+adJjZ7z9tzDZl0JNxbWjRQFu7vt9wTM9qf6PfYy2vBkL6mfX0NBg3oL23gUU/v9rWpV3BLzq8s/Rq07SMuH5fpp8zyAwb0IvWz9zV6eai/8OUUV3lL5VB5pJtOaYnhqcBQoP6647uXq0BRNW3C7gGmtoop8cP/bxrgO+pN20k0u6UnvrU75+WSRu8ftuWW3XqCHNs8RwTNejXY6Tn+7Q7ryITpXMkaKasb5XhNRok6GfAEwTrtV70hH19RpE5gfcE2NqwdN5ri6VbcrQ5vuoJda82mh2PNK+rDWye7Jk2VGnwo/S7qyfg+vnTTKYG71WDRt2/Fw3rJHZrRS8dTxm0wUobHqpOLKnBgB4/i8qdpnx68fSm0M/H51OGe48Ruq0et8w+W51uPk+efabBiifA1gapvx3ZTdrFR0hKdLjpyq+Nh2HWikbVqg0n+r8+8ZeBJljVz7UeKzQ41blBNOiqOhRCM5KPf7felEsDY+11pMc+7d2g/5/nuBRTGbTo32tmuk/lftKLfk81W++hu1cbEB1uEbfNJruzCyW3qNw04OjxSoMdDy3bv+auNf+z1krVz4u6fnQPb4CtgZ9nP9bkkI7x8uLEiu/8pyt2m98RHRpR9VirNOvpoZ9D/Z3Qz5JnWJDerpjTpMB8jz0Btpb1+fmbzEU/L/qZ18+YftbMJSXae6z6ePlOmbNqjwl0q3QqM8cEbVjXANJzTNUGTP3ftIFbe45pg+UJ/dqY16yNNjhPGdXNXHSOCW3kq/r9vufL1fs1QHp0iI+QWZOGmM+QvufvO/JNw4O3B0eVxnVt6NNhLEo/4/pd054bliqNnrq/3lyy3TSQxlcG2JNGdpVje6WYIW66j/T/1YBVG+h0GJaHfif/3JMvgzokmO+CZp1/WJ8pP2zINMfU9y89vGK/WXVJ0njzG6DHe+1poMdE/ey1iQk33wup8r255fjepofXQB1i14Bs+YhuyTK8a5JpSNLvovZm8Hhh/iYT8J90UFvz//y5u8D04tDGaw3EWS4VELG49RcyhDidLsnKqrvLckuomsV01JAxCAZ6UnL0Uz+aH9U5Vww3J2D3fbnG/HB5ukrpj7AGc9ql+0DdtX1JT1Q1KNRume3iImXG+Yd4xxRf88Hv5rae/JxzaIcGd332dd1rFkNP6L5fl2G6mWsXeKUnImNf+FnKKhsC9IRFMz1nHZImh3RMaNEfOf2R1Ymz9KRPgx7NQr93ScUEc5rtuOTN37zbasZPA1rNdusJh68nrtLut3ryW/Uk66JZS0ymT0+MNADV+tTPnh79NEPrCci0gWXS60tMoFg1C6CfAQ0QdaxfU/brgepeT2q1K7Vm6DxlsFQ2fBzXJ1VuHVORQdfnrnl/ufmMam8BPcHVk0Rf04BHM0Pa4HT5qK7egEBP1m//bNV+3Q47J1aMk7zu6B7eBg49sdaGlOboXqifO+1+/s2aDJmzcrc5wX14fH85pneqOWHVTI+WURsfNDszqntFT4mm0hPJj37fJRsyCs37e3rpPHL6ABndqyJYv+rdZWbegKoNHScOaC/920RLvzax3l4z+hOsVd2Q458Gz3oMrbg4TCODdhnVQMTzP2qX+HNfXbzf3+rJuu63f407yGQglQYV2kA3omuSadDy5XfSk4HTrtTa0KbBmmcugC+vHOF9r1s/XWkaaqpm0HUYhZ7kazl1//mK7nP9rITbrN7vjQaLGvTURD+/n14+zFvWL1btNo05mtmtz29DfY75+t1/6n8bvPN66NAenUlfAxn9/msPFD3+K20o/vLPdPN/6G+Z57Ogxz1tqJ42rp/3+3bBa4u9n09tJNShR/oZGdYlsc7JLd2V9aa9ajTY1R5gnl5Y+t268eM/TG+cqsdKj8fOGOAt651z/vT2ONBGG31/7UavvbJiWmAcsvag0f+jYihWxTFfP5O6v4/plSp/r8yE66SoD3+7fr+/1zrQcmvjmef4t2/CwHNM0N5Ec/9MN41c+nmtq95NNr2ykb3i/XeYnhH6O6Xlq5qh3neeFg3AW/J8qSptqDrtpUWmDPoZ1eqvOhxv6phecuZgst2hcI4fipKTY8RWz+FOBNh+EipfvnNe+VU2ZhXJk2cOND+qemD2LLel3ZVuP6GPyeL5i2ak9Me3ajCmk3toIKWtxIFc99otTlvn9UdOuwGfN6Tjft0C/UFP/ndV2ad6MnL528tMtvf0g9ubLpGB2sI99dNVJuOo+1SzwCf106xicqPG2jal7jX7qeXQWfE9Xck1CzG7ykm+P/1z7hozuZCe4x3WOdH0AtAgyFcTCDb2u6zdVjUL7NlHGnRrRkuHcjRX7xj9fGvDjHaDP0e7nldmcL9bm2HmfNBeCNqY1Ck5ukWP+XrCr4HR2oxCWZdeYLLUmrn1BLDnD+m4X4+ElqL7TBs+PF1U9f4Jz/1kHtNGt3EDKhrgWnLMp3aJnb8xW1Kiw2Tl7gLTUKg086+/B387snujjwMNOebr75HuD81I+iKI+nDZDjMMSY9jmgH3ZWCmnzFtMNHhJDoeWBt5NHDV4Tme33XtEq4B/jG9UgLi98lDexBpI6unTrX7/ANfrzXd0bVXQt/KS1OOGw2pd80K6yzenkZLbRTUHjfaUKHnTg2Zi6Y5aaOrJifeWbrDO4RLe3pohls/Wfr7XnWCz1AVKuf4oSaZALt2ZLBblo4T04lMxg9sb360Fm3OluSYcJNF0R+QQAgWWuuBVzNXelJgJlgLoBOX2oJuX0/I1Bw0sNUxfJo5q2nCGn/UvY4N1hNYLVPVCYkCYT/1bRvDxDe18HQO8xzjAuGES7ONGmxrl+2W7uVyIBoE6jjd5ujV0hjac0gb2nwR5AdC3bekmjK8oaih9a6ZYO3dUeJwyqGdEhs1AVpL/qbrWPrEyLB6j8MPJaH2nQ8VyQTYtSPAhr9x4A1d1H3oou5DF3Ufmqj30EXdB6eGBNiBn1ICAAAAAKAVIMAGAAAAAMAHCLABAAAAAPABAmwAAAAAAHyAABsAAAAAAB8gwAYAAAAAwAcIsAEAAAAA8AECbAAAAAAAfIAAGwAAAAAAHyDABgAAAADABwiwAQAAAADwAQJsAAAAAAB8gAAbAAAAAAAfIMAGAAAAAMAHCLABAAAAAPABi9vtdksI0X/X5QqMf9lms4rT6fJ3MeAH1H3oou5DF3Ufuqj70ES9hy7qPvhYrRaxWCz12jbkAmwAAAAAAJoDXcQBAAAAAPABAmwAAAAAAHyAABsAAAAAAB8gwAYAAAAAwAcIsAEAAAAA8AECbAAAAAAAfIAAGwAAAAAAHyDABgAAAADABwiwAQAAAADwAQJsAAAAAAB8gAAbAAAAAAAfIMAGAAAAAMAHCLABAAAAAPABAmwAAAAAAHyAABsAAAAAAB8gwAYAAAAAwAcIsAEAAAAA8AG7hBi32y0ul1sCgdVqCZiyoGVR96GLug9d1H3oou5DE/Ueuqj74KxTi8VSr21DLsDWgDYrq9DfxRC73SpJSTGSl1ckDofL38VBC6LuQxd1H7qo+9BF3Ycm6j10UffBKTk5Rmy2+gXYdBEHAAAAAMAHCLABAAAAAPABAmwAAAAAAHyAABsAAAAAAB8gwAYAAAAAwAdCbhZxAAAAAAhmLpdLnE6Hv4vRKthsdrFafZd3JsAGAAAAgCDgdrslLy9LiosL/F2UViUqKlbi45PrvdZ1XQiwAQAAACAIeILr2NgkCQ+P8EnAGOwNEmVlpVJQkG3uJySkNPk1CbABAAAAoJVzuZze4Do2Nt7fxWk1tCFCaZAdF5fU5O7iTHIGAAAAAK2c0+msFjCi/jz7zBfj1gmwAQAAACBI0C3cv/uMABsAAAAAAB8gwAYAAAAABI3bbvu7vPzyC355bwJsAAAAAEDQyM7OkoIC/yxVFjCziOfl5UlWVpZ06NBBwsPDqz23Zs0a76B9j3bt2klycnILlxJomG/XZsimzCI559AOEhsRMF83AAAAAM3A72f8mZmZcsstt8jixYslNTVV0tPT5fLLL5e//e1v5vmSkhI5/fTTpXv37hIWFub9u8mTJ8v48eP9WHKgbp+v2C33fLna3N6QWShnDe4gh3RKYLcBAAAAdcjPz5fXX58hK1eukD17dktMTIyMGHGETJ58hdjtFSHsV1/NkdmzP5LMzAxJS+sg5503SYYNG+F9jZKSYnn22Sdl0aKfzSRmY8eeJuecc54EfYB95513SllZmfzwww8SGxsry5cvlwsvvFC6desmp556qqxbt84sAP7ee++ZHQu0Fh8u3+m9/dWf6bKnoExenDjYr2UCAABA6Ckur94buCqrxSIRdmu9ttW5tiPDbI3atiHuvvs2s2TWtdfeaGLAX39dKI899m/p2LGjjBt3hrz33tvy0kvPyw03/F369esvy5YtkVtvvVGee+4/5r767LNP5LLLrpT7739Qliz5RR555EHp3LmzjBx5pARtgO1wOEzG+v/+7/9McK0GDRoko0ePlm+++cYE2GvXrpW0tDSCa7QqOcXlsmJnnrl9ZI9kyS12SI+UaH8XCwAAACHo6Kfm1/rcEd2T5YkzB3rvn/jcT1LicNW47WGdEuSFKgmj8S8tMue9NTmoXay8duFhjSrv1Kl3Snx8vERERJr7nTp1lo8+el+2b99ukq+zZs2UCy64SE45ZZx5vnv3HnL00cdKZGSU9zWGDDlcLr54srndpUtX+fDD92TZst+CO8DW9L5mpmsaj+0ZX63jr3v06CGlpaWyc+dOad++vURGVuxoIFDNWblbnG6RPm1i5PG/7D1gKZfbLblFNR+I6mN9RqG57plKjw4AAAAEnzZt2srmzZvkt9+WyLZtW2XDhvWydesWcblcpku4Xg4+uHrP0OTklGr3NaiuKj4+QYqLi4K/i/i+Vq5cKQsXLpQnn3zS3NcM9vr16+Wkk04yAfmuXbvkggsukH/84x9iszWuy4G9ShcIf7HZrNWuEVwmHNJB+qfFSaTdVu3z9vXqdJk2d42M7JkiD55W0X2lIX7fkScXvb7E3J5xwSFyaKdEn5YbzYvvfeii7kMXdR+aqPfQ5c+6d7m0U3bN/nfdEXV2Ea9q7tUja91233eYffmwem/bEM8884TJOA8derj07t1XzjjjTNm9e1e1bTxjsWtjs+3/vGa/6/4bS5NjxYAKsHUW8RtuuEFOOeUUE1ArDaK1y/jtt99uZhfXMdoXX3yxpKSkyJQpUxr8HlarRZKSAifzFx+/txsDgkeSdmVpv/+EZj3SyiS7qFx+XJshMbGRYrM27NCzbMkO7+0Pft8txx3c0SflRcviex+6qPvQRd2HJuo9dPmj7ktKbJKRYa0xSIxrQNDYXNvWl2an3357ltx777/kpJNOMY9p5vrf/54m2hbQrl1biYqKkq1bN8thh9XcBV0nNbNaqydWKx6rOYDWxgmr1SoJCdFN7i0dMAF2Tk6OmRm8a9eu8tBDD3kff+GF6guE6xjtM844Qz777LNGBdgul1vy8pq/a8CBaKuWfvHy8orF6ax5jAOCT5dYu9itFskrccj6HTnSJqb6knQHYnfv/aws25It2dkV3cXROvC9D13Ufeii7kMT9R66/Fn3ZWWlJhB1Ot3iqGUMdWvgdLpNsKs9l/X/KC4ulueee8qsbV1SUmqeP/PMc+T112fKIYcMkY4dO5mZxqdOvdnMEn7SSWNNptrlkmr7oeKxmveNvqbuu9zcIiku3n/iNq3T+vZKCIgAW5fquuSSS6Rnz57y73//27scl84urt3DNeiOjt47QVRSUlKTFg4PpA+cfvECqTxoumd+2CgFpQ65cGgn6ZS4f+tl27gI2ZFbItuziyWpgWtj61JfR3ZPltNeWiQ780qltMzZ4Cw4/I/vfeii7kMXdR+aqPfQ5Y+61yAxGCQnp8j1198k06c/K7NmvWoC26OOOlbGjDlJ1q1bY7a59NLLJS8vVyZNmijR0VHicDjljDMmmG2awheNE34PsHfv3m26fI8YMULuuusu01pR1bnnnis333yzTJo0yfvYggUL5JBDDvFDaYEDW7AxS9amF8rwrkk1Bthp8RUB9s68EhnYPq7Bu7RNbITJgjtcbtlTUCpp8Uz6BwAAgOAxYcJE+ctfzpaCgnwzOZkqKiqSoqKK3ps6u/gtt9whN9zwDyksLJTExETTBdxj2rRHvElbj/vvf+iA47Z9wa8Bdnl5uVx22WUSEREhEydOlNWrV3uf04y1Zq71+aeeesrc13XLPvjgA7M29oMPPujPogM10rUAN1TO8j2gluC5vQmIc2VXXmmD9mJ2UZnEhNsl3G6VgWlxonM0lJbT+wEAAADBx2rV7vZ75zTSeLBqr2alc3TpZV/a47k+jwVdgL1q1SpvxvrWW2+t9tzAgQPlX//6l1xzzTUm0J4zZ46ZBK13797y/vvvS7du3fxUaqB2y3fkmeW52saGm67gNemUWJFx3pzVsLkAps1bKz+sz5TbT+wjL51LDw4AAAAg0Pg1wNYJyz755JM6t9FU//jx480FCHQ/bcw218O61t5CNjAtXo7qnSr92sU26LU3Zxeb4L1NbMMmRgMAAADQMvw+Bhto7V5dtFXW7CmQ9IJSWbo9zzx2VM/qC91XdWTPFDltaBczA3hDJlHILCwz11Uz4zobYtXxJgAAAAD8hwAbaKL5GzK9gbVqFxchR/dI9ul+LXO4zNJeKiU6XH7Zki33fblGOiZGyvRzBvv0vQAAAAA0DgE20ASaQd6QWTGWevo5gySnuFz6t48Tez3WydNJy8rKXZJSj7Wws4oqstc6e3h8pF3CbVbZlV/KEl0AAADY7/wU/ttn9VstG0CNMovKJbfEIboUtY6tPr5Pm3otm/XgF3/KcU8vkJd/3lLv91HJ0WGmS7gnKPd0GwcAAEBos9ls5rqsrGEr1UC8+8xma3r+mQw20ATbsovNtQbVEfb6t1cN654k078Xef+3HVJY5pAbjukpiVHV1+qryhNIewLr5OiK6xKHS4rKnBIdXnFABQAAQGiyWm0SFRUrBQUVk+6Gh0cwV089MtcaXOs+033nWeGqKQiwgSbIrOy6nVqPbt5Vje7TVlJjwyWjoEzmrNwje/JL5fk6xlLr6586oJ33fTSgjgqzSnG5ywTf0eFR1CMAAECIi4+vmAfIE2SjfjS49uy7piLABpogq7LrdlJ07dnnmtisFhnZLUk+/WO3uX9Yp0R5bdFWcbjccumILvttr+O67zm5b7XHNJu9LafEBNidkwiwAQAAQp0OJUxISJG4uCRxOismyEXdtFu4LzLXHgTYQBMUlznFZtnbZbshzjqkgwmwdeKyPm1j5OZPVkpCpF0uGd65Xt159D01wPZMgAYAAAAoDRit1oafn6LpCLCBJrhoWGe58PBOUu5s+MyDgzomyMzzD5Eyp1sG6MzjVouZMG1HXol0TIiqNjZkY1aRdEmMqjY7eZ82MeY6Mozx1wAAAEAgIMAGmshqsUiE/cAZ55oMSIv33u7dJkZW7S6QFTvzqwXYewrKZOLMxWYSte+uGeUNsm8Z05u6AwAAAAIIy3QBAULHWauVuwqqPb4hs9Bcp8VH1Gt9bQAAAAD+wdk60AR3zvlTpn66UrblVCzX1RTaTVyt3JVX7fGNmUXmukdKRZdwAAAAAIGJABtogh83ZMrXazLM7N++ymD/uadAnFVeb0NGRYDdPSW62vbfr8uUU1/4WW76eEWT3xsAAABA0xFgA41U6nBJQanT3E5u4DJdNemWHO1d2/qnTVnexzd4M9jVA2ztLa7js3UNbQAAAAD+R4ANNFJ25fJYOvt3XETT5wvUtbFnTRpiluq64aMVsiuvxGTG16ZXjMnuVTlruEdiVEVQn1NcsRY3AAAAAP8iwAYaKauo3Ju9rs+61fWhr6VLdalftuTIpswiKXG4JCbcJl2TqmewCbABAACAwEKADTRSekFF1+zU2Aif7cPYCLucc0gHc3vZjjyJj7TL1Ud2k4mHdTQZ7poCbA3AS8oruqoDAAAA8B8CbKCRduaVepfP8qVhXZPM9ad/7JKiMqdcMryLXHVEt/2206y2dk9XdBMHAAAA/I8AG2ikwjKHySq3i/NtgH10z2QZ1T1JdCLx937bUet22i09qXJyNQJsAAAAwP8IsIFGmjyiq8y//sgas8tNoYHz+Yd1Mrff/W1HnUuA9W8XJ4M7xItFfDMGHAAAAEDjNX3qYyCEaQbbZrX5/HUP75oofdrEmCW6NmcVSc/U6jOIezxyxgCfvzcAAACAxiHABgKQ1WKRFyYOloJSh7SPj6zX3+i2OkkaAAAAAP+gizjQCNtyiuWiWUtk2rw1zbb/NFiuT3C9ane+nDL9Z5n81m/NVhYAAAAAB0a6C2iE9RmFsmp3gZmIzN/CbVbJKCyTcqfL30UBAAAAQhoZbKARdGy06pES7ff9l1w5k3huiaPOCdEAAAAANC8CbKAJAXb3AAiw4yPDvHOIs1wXAAAA4D8E2EAjbMgoNNc9Umqe3bulZzJPjKpcD7uo3N/FAQAAAEIWATbQQE6XWzZnFwdMF3GVWNlNPLu4zN9FAQAAAEIWk5wBDbQjt0RKHS6JsFulQ0L9ltBqbinRYVJYGi7F5Ux0BgAAAPgLGWyggfJKyqVLUpTJXmv37EBw2sD2klVUbtbCBgAAAOAfZLCBBhqQFi8fXHq46SoeKMb2b2eC/vqsmw0AAACgeRBgA40UKNlrj4Fp8TLr123y5ao9UupwypVHdJPj+7Txd7EAAACAkEEXcaCBXO7AyVzvKzHKLqv3FMimrGK5/6s1AZVlBwAAAIIdATbQAMXlTjnumQUy5e3fzO1AM25Ae3nmrIPN7cIyp2zKqlivGwAAAEDzI8AGGmD17gITuG7LLZGoMFtA7rvhXZPk0I7x5vbKXfn+Lg4AAAAQMgiwgQbYnF2REe6ZGhPQ+61P21hzvT6DDDYAAADQUgiwgQbYmlNirjsnRgX0ftMlxNTGrEJ/FwUAAAAIGQTYQANszyk2150SA3s5rL7t4mR410QZ3CHB30UBAAAAQgbLdAGNyGB3TAjsDPaA9nHyzFmD/F0MAAAAIKSQwQbqye12y5bKMdhdkwM7wAYAAADQ8shgA/VUVO6UQzomyLacYumYENhdxD0NAjrjuYqN4KsOAAAANDfOuoF6igm3y1MTKtaYbg0e+madfLBsp0wZ1VUuH9nV38UBAAAAgh5dxIEglRgVZq6zCsv8XRQAAAAgJBBgA/VU5nC1qn2VEhNurjOLyv1dFAAAACAkEGAD9XTzJyvkhOd+ku/XZbSKfZYSXZHBziSDDQAAALQIxmAD+3C63LIuvVDax0fIuoxCKXG45OC0OFmyLVdKHS5JjY1oVRnsrCK6iAMAAAAtgQAb2Ed6QalcOGuJuW21iLSPi5BDOyWY4LpXaoz0bxfbKvZZcnRlgF1IF3EAAACgJRBgA/vYlVdqrpOjw0xQvSOvVHas3GMeO/uQNLFYLK1inyVE2b3Li5U7XRJmY0QIAAAA0JwIsIF97MwvMdfdkqPl/CGd5Ks/94jbLdI2LlzGDWjfavaXrn19XO9UiY+0S7nTLWE2f5cIAAAACG4E2MA+Mgoqxiy3jYuQ0b1SzKU1slos8tD4/v4uBgAAABAy6DMK7COjctbt1MpJwgAAAACgPgiwgX2kFwRPgO12u6Wg1CEl5U5/FwUAAAAIegTYQBBnsG/6eIUc+8wCM44cAAAAQPNiDDawj7EHtZU+bWKkV5uYVr9vdIIzlVvs8HdRAAAAgKBHgA3s44xBaUGzT+Ijw8x1bglrYQMAAAAh1UVcx4s25XkANa+FTQYbAAAACIEAu7i4WKZNmyZHHHGEHHzwwTJ27FiZM2dOtW3eeOMNOfroo2XAgAEyYcIE+f333/1WXgS34nKnrNlTINlFFeOwW7sEMtgAAABA6ATYGlwvWLBAXnvtNVm6dKlceeWVcvPNN8tPP/1knv/yyy/l8ccfl0ceeUR++eUXGT58uFx22WWSm5vr76IjCK3anS8XvL5EJr/1mwSDhChPF3HGYAMAAABBHWA7HA6ZO3euXH311dKzZ08JCwuT8ePHy6hRo+STTz4x28yYMUPOPvtsGTZsmMTExJjgW68//vhjfxYdQSojiJboqj7JGWOwAQAAgKAOsO12uyxcuNB0C9/38fz8fCktLZUVK1bIYYcd5n3OarXK4MGDZfHixX4oMYJdTuVs20nRwRFgp8VHynG9U+XIHsn+LgoAAAAQ9AJuFvHt27fL/Pnz5Y477pDMzEyT5W7Tpk21bVJTU2XZsmWNfg+73e8948Vms1a7RmAodjjNdVykvdk+Jy1Z9z3axMijZw5s9vdB/fC9D13Ufeii7kMT9R66qHsEVIBdVlYmN910kwwcONBMZrZ582bzeHh49WyidiXX7HZjWK0WSUoKnPWN4+Oj/F0EVOG0VgS9yfGRzf45oe5DF3Ufuqj70EXdhybqPXRR96HLHkjB9XXXXSdFRUVmwjPtJh4ZGel9bt9to6OjG/U+Lpdb8vKKJBBat/SLl5dXLE6ny9/FQaXM3GJzbXe7JTu7MCjqXpe3KyhzSlSYVeyVDQjwD773oYu6D13UfWii3kMXdR+c9Ny9vr1PAyLA1mz0tddea2YGf/311yUhIcE83rZtWxNop6enV9te77dv377R7+dwBE5AqwFWIJUn1OVXzrYdZbc2e720VN2Pe3Gh7M4vlVkXHiZ928U2+/vhwPjehy7qPnRR96GJeg9d1H3o8ns6SzPWl19+uTidTpk5c6Y3uPZ0BR80aFC1Cc10O13Oa+jQoX4qMYKZTgZ2/pCOMiAtToJFTLjNXOeUMJM4AAAA0Jz8msHWrquezPWsWbPMDOGesdUWi8WMvb700kvN0lw6c7jOJv7ss8+avzv99NP9WXQEqRP7tTWXYOJdC5ulugAAAIDgDbA1E71o0SJzW9e+rurwww83a2CfcMIJcvvtt8sTTzwh2dnZZgI0zXTHxtLVFaiPhMq1sPMqu78DAAAACMIAWzPSv//++wG3O+ecc8wFaG5bs4sl3G6VlOgwsQfJEmreDDZdxAEAAIBmFRwRBOAjl739m5kUbGOW/2ea93UGO7eYDDYAAADQnAiwgSoKy5zmOiY8ICbY94mESDLYAAAAQEsgwAYqOZwuKa1cNssz83Yw6NkmRo7rnSr92wXPzOgAAABAIAqeNB3go+x1sAXYR3RPNhcAAAAAzYsMNrBPgB1htwbNBGcAAAAAWg5RBFCpsMwRdNlrD107vqCUSc4AAACA5kSADVQqqsxgx0YE18iJzMIyGfn4D3L8swvE5Xb7uzgAAABA0AquSAJoguTocDl/SEeJC7IAOz7SLs7KuDq/xOFdFxsAAACAbwVXJAE0QeekKLnhmJ5Btw/DbFaJDrNJUblT8giwAQAAgGZDF3EgBCREVbSl5ZaU+7soAAAAQNAiwAYq5RSXy+78Uiku37tcV7CIj6zoFp5bzERnAAAAQHMhwAYqvb1ku4x7caE89f2GoNsnCZFksAEAAIDmRoAN7LMOdkyQTXKmPBOb5ZaQwQYAAACaS/BFEkAjFZYG7zrYgzrEi9Pllg7xEf4uCgAAABC0CLCBSjrLtooJD76vxbmHdTQXAAAAAM2HLuJApcLSigA7NiL4MtgAAAAAmh8BNlCpsCx4u4grt9stJUE4QzoAAAAQKAiwgUoFlZOcRQdhgD1/Y5aMfPwHufLd5f4uCgAAABC0gm+wKdBIJ/RtI7vzSqV9XGTQ7cOYMJs43SL5lRO5AQAAAPA9Amyg0uUjuwbtvoiPqlwHu7jc30UBAAAAghZdxIEQEF+5trdmsHUsNgAAAADfI8AGRMThdMmuvBIpDtJJwKIrlx5zuUVKHS5/FwcAAAAISgTYgIhsyy2R015aJGNf+Dko90dk2N6vemHlZG4AAAAAfIsAGxCRvJKKyb/iI8OCcn9YLRaJDquYHT1Ys/QAAACAvzHJGWAC7IrJvxIig/crcWSPZHG43GK3WvxdFAAAACAoBW80ATQqgx28X4l/jTvI30UAAAAAghpdxAGdXbsywI6LCM4u4gAAAACaHwE2ICJFleOSo8OD+yuhS3S5WKYLAAAAaBbBHU0A9VRSuXRVpL1iIrBgNPXTlTLi8R/ksxW7/V0UAAAAICgRYAMi0q9trIwf2E4GdYgP2v1hsVjMOthFLNMFAAAANIvgndEJaIBje6eaSzCLDq/IzhNgAwAAAM2DDDYQIjzrYHvGmwMAAADwUwZ77ty5UlBQ0Kg3OfHEEyU2NrZRfwu01CziVmvFGGxbkK4THUUGGwAAAAiMAPvhhx+WLVu2NOpNhgwZQoCNgHbbZ6vk583Zcu8pfWVs/3YSjGLIYAMAAACBMwb79ddflw4dOjToDS666KKGlgloccWV3aYj7cE7aoIMNgAAABAgAXZCQoKkpaVJp06dGvQGycnJYtW+t0BrWKarMssbjDomRMqwLonSOzXG30UBAAAAQjvAfv/99xv1Bo39O8AfGeyoIA6wR3VPNhcAAAAAAbZMV05OjkRFRUlERIS5P2fOHFm2bJmMGDFCjj32WF+WEWh2JZ4u4mH0tgAAAADQOI2KJv788085/vjjZdeuXeb+xx9/LDfccIPMmjVLrrzySnnzzTcbWRzAP4rLK7qIR9mDN4MNAAAAIAAD7JkzZ8qoUaOkffv25v5bb70lRxxxhMlg62zjzz33nLjdbl+XFf/P3llAx1mlb/xt3N2lTdI0dXeDtrRFCi3FobguutjuwgrOfxcWZ1lYfNHFvdBipZQa1N2bJo27e/7nuTN35stk5NOR5P7OmdM0MvPNfHZfex6BIXR2dVNDawf7OjJEdVOH15Nf1UTz/rWWTn5+nac3RSAQCAQCgUAg6JOormBfc801rD0creLbt2+n888/nwICAmjx4sXU0dFB5eXl+m+tQGAA7Z1dtHh0Cs3JjafoPhxgBwf4UX1rhyWZIBAIBAKBQCAQCPRFVTTR2dlJQUFB7OvVq1fTgAEDWEXb8qQBAex7AoEvAOXwvy7Mo74OF3Br6+ymjs4uCvAX8+YCgUAgEAgEAoGeqFph5+bm0pdffkkNDQ1s7nr8+PEUGRnJfnb06FFqbGxk9lwCgcB7CA+yzpc3mUXdPMn2ojraXVLv6c0QCAQCgUAgEAg8G2BfccUVLLCeOHEiaw+/8sorLT+7/fbb6dRTTyV/fyEWJfAdBfHGto4+rxuAinWQv6mzpKnNswH2uqNVdPW7W+nKd7bQ1sJaj26LQCAQCAQCgUDg0RbxMWPG0Pvvv09r1qyhsWPHskCbs2jRIrrwwgt120CBwGhW7iunB1fsp1k5cfTk0lF9vk28rbPD4xXs7cfrCOmMzm6iL3eV0riMaI9uj0AgEAgEAoFA4NYK9qpVq6iqqsry/7y8PFa5lgbX4KqrrqKwsDBdNk4gcAf1LR29Wqj7Kvw9eqKCve14LX28vZiJyl03M4seOm0Y+/7uUu9uE99VUs+U19/6rZApzn+/v5x+PVbt6c0SCAQCgUAgEPhyBfuNN96gdevWsYr1iSeeSHPmzKHhw4cbu3UCgRto6+yyiJ31dUanRVF6TDsFuVngrKKxja57fzsLUE8elkiB/n403ly1PlTRSG0dXRQU4J2iayv2lFFVUzsdLG+gb/aU0X3f7GPff+/yiZQTH+7pzRMIBAKBQCAQ+GKA/eqrr9Lx48dZJfunn36iF154gaKjo1mwjQdUxEXlWuCLILgD7g46PcFDizyTFNtX1sCCa+BvdhhIjAiiAL8B1NHVTVVNbZQSFULeSGFNM/v3233l9NXuMsv3MTsuAmyBQCAQCAQCgRRFEUV6ejotW7aMXnzxRdqwYQPdf//95OfnRw899BBNnTqVtYej0n3s2DElTysQeEUFO9AsACbQn8MVjezf+XkJlk4BWPnFhQWyr6ub2732Yz9c2cT+feqsnvP5vxXU2m0nr2ny3vciEAgEAoFAIDAW1SW7kJAQmjt3LguyUdX+4IMPaMqUKbR8+XI65ZRTRJAt8BngC91fKtie4miVKUjNju+pz3D++HS6fmYWxYaaAm1vVJgvqm1hX+cmhNObF4+nZRMz2P+/21fO2ts5mwtr6PK3t9AfPt/lse0VCAQCgUAgEPigirg9hg0bxh7XXXcdVVdXi3Zxgc8A0a3+EmA/8eMh+mp3KV05dSAtm2QKFN1BaX0r+zctumcb+KVTMsnbEwNIv8SEBlJsWBB7DEuOpOjQAMqJD6PBCaYZ7Nc3HKOv95jax7cer6Oa5nb2NwKBQCAQCASC/oWqALutrY3++9//0tq1a1kwbc8/GDPaqampemyjQGAoeUkRdFJeAuUkhPWLZEJdSwfVtZqU091FWUMb+zcxIph8Cd4ejmBayhVTB1q+xvXvuTVHe/wcbeIiwBYIBAKBQCDof6gKsJ9//nkWQE+ePJkGDhxo/4kDdCuOCwSGctaYVPboD0SGmM7LRjcF2JhJ/nxHCR0xB6oQNpPS0NpBJXWtTEF8YGwoeRuYEZ88MIaGJ0c4/J3mdlMHBH9/n109hamkCwQCgUAgEAj6H6qiYKiI33vvvXTBBRfov0UCgcAwIoNNp3y9mwLsp1YdYi3T/n4D6NULx1FGdM8g+pPtxfTM6iN06vAkesDsi+1NTMuKYw9nhAX50/2nDqW1R6rojrmDLcF1eUMrE9BLt3nPAoFAIBAIBIK+i6oAG8rho0b1VNQVCHwV2ERBQByq1n2dCB5gtxgfYMN6C8E1gEUXqsG2XtdxYUGW3/VlThuRzB6cj7YV0T+/P0izB8fTo4tH9ItjSyAQCAQCgUCgUkV84cKF9L///Y+6uqytkQKBr3LLRztoyhM/08q9Vo/jvh5gozXbaF5eZ7Xr++SqyXZ9rmPNNl1VXmht1dXdzVTE1TA6NYogTr/qYCVtLuxt5yUQCAQCgUAg6JuoqmBffvnltGjRIjrttNNo5MiRzLLLljvuuIPi4py3Vtry7bffMrsv+GxzEMQjoIewmpSbb76Zzj33XDWbLxDYVREP8Ov7VcbIYJMHdUObusBRCdzC6q8Lh1BGjP026XhLBdv7AuzjNS101qu/MrGyb2+Yrlg4b9qgWFqfX82E0iZmxhi2nQKBQCAQCAQCHw+wX3vtNeZzjcC6qckkXmTL9ddfryjA/u233+hPf/oTZWVl9fh+fn4+FRQU0GeffUYxMdZFamRkpJpNFwh6wX2w+4MwVXx4EBPscoegWGWjKSnmKLiWVrBrmtpYxdjPi1qp61pMQX+ITVu7XFKjgy2K4gKBJ9hX1sCE9+AzX9nUTgnhPUUGBQKBQCAQeEmAvWLFCuZ3/fvf/578/U0VMbWgMv3vf/+bXn75ZUpKSur18wMHDlB0dDTz2BYIjKCto//4YA9JjKA3Lp7gltdC1TYpMpiSIx1bc2EuG40DyHEgIPcmGy9uZcaV15WCoKYvzJcLfJeHVuynvWUN9NiSEXTXF3uYHgB0AQQCgUAgEBiHqoiivb2dtYhrDa4BqtPff/89s/5Cy7kt+/fvp8GDB2t+HYHAEVB6BrYCXAJt3L1gCP373DFOK9gB/n6UYg7AC2tavOojr2s2BdjRagNsc/t7TbOoYAvcD/QDDpQ3sK+jQgKZmOO/bfzaBQKBQCAQ6I+qleP48ePp559/pqFDh2regEGDBtHnn3/OVHY3bNhgt4Ld0dFBN954Ix08eJAyMjLo6quvpunTlc1ECgSuZrCDICUucDvnjU9ni39nlW5PUGtWWkdwoqWCXS0CbIGH2sPRGYK28Oy4MMLV7WBFI7OP86ZOEYFAIBAI+hqqAuwFCxbQrbfeygLeMWPGUFhYWC8bmvnz51N4eLjrDQhwvgkIsDs7O5loWmJiIi1fvpyuuOIKeumll2j27NlqNp8CvKBS6W9uR+b/CjxHu3kGOyQ4wC3Hhqf3/dkvb6SKxjZ69/KJlGaQR7Ol7V7G53nZtIHkjfDAOC48SNVxMSYjmv44P5fNu/O/9/S+F3gOd+/7Q1UmfZThKRGUEBVMQ5MjaG9pA+0qbaD5TrpKBPojzvv+idjv/Rex7wWqAuwHHniAGhoa6JNPPmEPe6xcuVJWgC1HUC0qKopCQ0Mt6uH79u1jLeVqAmw/vwEUG6t9u/QiKkosdDzN7LxEqmpso8zkKIp148LTU/seCuJ1qM4GBRp2Lny1vZhufGcznTQsiV65fDL5ImVmcbIhqVGqPif8zZicBLs/E+d9/8Vd+768ydSBMSQlmh2LI9NjWIBd1NDuVffA/oQ47/snYr/3X8S+77+oCrDfeustNoftjJSUFNKD5OTkXt+D4Nn777+v6vm6urqprs6+8rm7s1s48erqmqnT3KIs8Az3LBxi+qK7i6qrTdZSfXnfhweatBOKyhsoLVTdfLErDpeYvJ/9qdvlZ4oZ5ZK6FgoL8qeBsWHkLQyJD6XZg+NoYFSQbseFp/e9wHO4e99vya9i/yaFBbDjNzPKpAmwNb/KLdc5gRVx3vdPxH7vv4h93zfBPVxuF5rs1TXExmChFRQUZDfolfN3SkGV/PTTT6d7772X5s6da/n+kSNH2Oy2WjrM7aveABZa3rQ9gr6/7yPMXti1TW2GvX5xrUmwLCki2OVrfLGjhJ748RAtGJpI/3f6cPIWLhifzh5AzeeEufLtRbXU2NpJM3PieliQifO+/+KOfY9Z600FpiRXaqTpHByWFMH+/9PBCjpY2kBZ8d6TzOoviPO+fyL2e/9F7Pv+i+xhMIiMFRcXK34BtX8HIiIiWLX66aefpvLycva9r7/+mj2uuuoqVc8pEPR3IoJNebV6sw2VEZTVt7J/YdPlCu4z3drHEk3olrnuve10+6e7qKmt09ObI+hH5CaE0483zaAzRibTmLQo9r0JGdE0MTOaWfWVN5rOT4FAIBAIBPqjqD/0m2++obi4OMVVaC38/e9/pwcffJBOOukkJogGQTX8f86cOZqeVyAACHzmPbeWKYivvH46hZjbp/sykZYA27igr9QcYMtRBg82B9iwFfIWurq7mVAbts1WwFEuEHgL9B/ARPQaWjssiQ2BwB3geLvnFKvTB47jF84bKz58gUAgEAgMRtGK74knnjBuS4jod7/7HVMIlxIbG8teF1ZddXV17P9qF7wCgS0Iojq7uqm5q5sC+4myc6TZ17nBbENlaIAd4Xo0hCc1vKmCje1f/NJGCg30o9W3zFL9POFBAWzGHMJyAoFAIBAIBIK+j+wA+7333mN2WWqQW/VGSzge9kD1Wmn1XOAdAeyhykYanhxJ3kibWWzI328Ae/QH0qNDaHhyBMWGqfN3ljN7DBswxRVsLwqwMTcNQgL8Nc+7I8BuNLAdXyCw5bmfj9Dhyia6aGI6TcyM6fVzJBX7y/VOIBAIBAKvDbBFcCtQSmFNM135zlYWxH53w3QK8MIKMQ+w0SLeX7hkciZ7GEVrRyedOiKZyutbKTYsSMEMtvdUeRvbTAFxuFkQTi3hQaZLbKOoYAvcyJbCWtpWVEeLRiT1+H57Zxdd9vYWyq9qom9+N93SzSIQCAQCgUA/xN1VYBhp0SHU0tFJze1dVFjT4pWqtdYA2/uCf18lPCiA7pPMfsoNsFvavaeC3WCuYEeYA2S1hAeZAnTMYAsE7qK62WSjGWPTpYIxmNrmdmrr7KZNBTU0Z4h9n3aBQCAQCATqEVGFwBB+OFBBt32ykwXX4HCld/qutnd0WwSpBJ4BSuOXT8mkCyaYLLH6UgUb3t7eljwQ9H2qm0wBdlxo7w6S6dmmUatXNxxz+3YJBAKBQNAfEFGFwBB2FtXR2iPVlv9jHtAb4RXs/iJwBo7XNtPSVzbSkpc2GPL8FQ2tigTLEiOC6cbZ2bRsUgZ5C1yULFxjBfvM0Sl059zBNCrNOzUIBH0PtIFzCz7bCjb43YxBhIGYPaUNVN4g7LoEAoFAINCb/hNVCNwKD6itLbLeM18rJTTIn6YMjLF4xfYHwgL9Wct+UV0rdZgTDHpy/4r9dMIza2jl3jLyVbgoGUTKtHBibgKdPyGdcuLDddoygcA5ENUDkJWIsjNjnRARTMNTTAmfl9bli49TIBAIBAKdEQG2wBB4S/jQpAhLVcUbyU0Ip+fOHUMPnjaM+gvRoYHEBYT5YlxPUBXr6ra/uHfkOV1Q3UwHyhvY196itD4nN55GeKn6vUDgqj3cdJ7bF29cNtE0jrEhv0Z8kAKBQCAQ6Izs/sdFixbRsWPyZ7aWL19OmZnGKRULvJemtk4qrmu1BNibC2strdgCz4NFd0xoIFU1tVNlUzuraOlJeUObpfVbDh2d3XTWq7+yr3+8aQZFBHtee3FeXiJ76OGnjZZ8zMJ6o8ifoO8BxXpY3zmz4RthrmBXNrZRd3c3DXAQiAsEAoFAIFCO7JXsueeeS9XVppnatrY2ev311yk3N5fmz59PiYmJVFdXR9u2baMff/yRli5dSrGxsSo2R9AXOFJlag+PCwukqYNiqbm9k8ZnRHt6swQS4sODWIBd3WQKhvWipb2T6lpM7dWJEa4tukCg/wBWUUfVG3/vDQG2Xny+s4ReXJtPZ41JpbsXDPH05gj6AbjW/nzLTKYU7ggkv/6yYAi7DuC3RHgtEAgEAoF+yF7JXn755Zavn3jiCVqwYAE99dRT5OfXs8v8iy++oGeeeYYiIkytwYK+AyodsH+JDQ2kncX19NXuUrr5hGyqb+lgwRqvihyuMLWH5ySE08ycOPbwVjAn/I/vDrJEwN/PGE79BexDgP2mJxWNpoAdFbRImYEyqmf4fSjOtygQRzMStKo7aq9VArcgQ5JJIHAXpnPK8fGL8+3MMalihwgEAoFAYACqSkU//fQT3X///b2Ca3DGGWfQQw89RKWlpZScnKzHNgq8hMd/PETvbSmiEwfH00+HKtn3sIQLDvCntzcV0rKJGXTrnBzWIg5xs5w472+JReADxV34dfcn4sKDLC2ielJmViVOighS1HYaEuDvVQH2fV/vY8mXW+cM1mQfFhpotunykvclEAgEAoFAIPDCADsoKIjKyuwrBFdUVFBDQwOFhwvV3L5ER1c3fbajhH2dHGmdrd1RXM9afMFnO4tp7ZEq+uvJeWyWFi2KUKluau+kATSAImWKXrmTVrMPNio6/QkEwBB4mz04XtfnLa83BexK57r556/E3stIsB3osPXnanAaA2xRwRa4i/9uLKDtRXW0ZHQKneDk/D5Y3kj7yxuYTsbgBHG/FggEAoFAL1RFFXPnzqUHHniAVbLRNszZvXs3XX/99TR79mzRIt7H2F1Sz6pwaPu95cQcOmesqb2wvqWdLdRAeFAAm78+Wtlkafv9dn85nfTcOrrri93kjbT3Qx9scN74dHr5wrGUpXOXAZIvp49MphlZsaoCbMxgewM80NeaeAkJ9K73Jej77Cyuo9WHKqms3rnH9Zu/FdC9X++jn83dSAKBQCAQCPRBVUnx6quvpi1bttC1115LgYGBFB8fz0TOmpqaKC8vjx588EGdNk/gLaw/WsX+nTIohgUd183Iog+3FTMvZYDvzcqJo4+2FVN+tUnkDASaxwjaoWDlhXB18yBzFb6/IO1C0JNxGdHsoZQQc6VXaQW7s6ub1hyuZFW4lKgQ0otW88hAsMbEC39fLe3eUZkX9B+bLmcq4iAjJpT9W1jT4pbtEggEAoGgv6C6Rfyll16iNWvWsEd5eTlFRkbSpEmTaOHChezngr7F+qMmBfnp5spkTFggazMuM1syod0421wNfePXQtZae8OsbEtl2Ft9sNs6+mcFG6D7BKJkCFL1DE7VcNqIJJoyMIZSFW7Hq+uP0Yvr8pli/f8um0ixYUHeVcEWImcCNwMhSnkBtulc++VIFW07XktDEiMoLMiUEBIIBAKBQKAeTUOxQ4YMYbPYMTExdOGFF9KBAwcoIMD75mwF2qhraaddJfXs62lZVkXwkalRVHaggn09JDGcBsWZKiKgxrzI4/PZ7U4sYzwJt7LpbzPY4OV1puAU7f5/mj9Et2MFyQoElkpEzi6amKHq9VbuK7OooX+/v4LOGZdGesBFyYLNLd5qyYwJpRtmZVG8ToG/QOCKWvO1NzrEeYA9PNnk+oAk29X/20Zj0qLolQvHiQ9YIBAIBAKNqF49vvjii3TSSSfR3XffTU8++STV1NSwr+GXXVkpZrr6EtuO1zGP4qy40B6txY+cMZwmD4xhX6NFF1Vs3ml95mjTjHaQuTLMW7G9jeTIIBqVGklpHq7gegIuOseTIXpw04c76IRnfmFVMXeAwJzrkPEuCz07G7QmXpIig+mKqQNp8egUnbZMIHDeldLYZhpvcOUnD/0FeGFnx4cxNwgIo5WbXQAEAoFAIBCoR9XqccWKFfTss88yQbPPPvuM0tNNNjYPP/wwtba2MpsuQd9henYcfXD5JLrvlKE9vo8K5dXTB9KlkzNpWlYsU45++uzR9Pqy8RZPbF7Bhpq4t4p9vXbReDpfgxWTr4K2ar29sPniXmmrKbzUj9c2W6pvclk6JpVevsBUdUOAIBVd1MK49GiWPIoNFZVnge/AnBvMehewSnQFvLDfv3wSEya8cmqmoq4TgUAgEAgE9lHVz/3+++/TXXfdRcuWLWP/9/c33cinTJlCL7/8Mi1YsIDa29uZAJrA9wnwG0BZ8fbVpidkxLAHZ+qgnurRfLaZt2ILvIeY0MAeM5t6BtjhQcouLU+uOkRf7CqlG2dl0eVTByr627ykCDbzj/dRUt+qeI7bHrCa0wPMt0NlHz7ro9OidHlOgcARTW0dLKnZ0dmtKMl1j03yVCAQCAQCgZsD7OLiYpo4caLdn6WkpFBUVBTzw05NNbUJC/ovENo5eViiJZgTeA9cBKlGxwo2Fvhyq2dafbAbWjvocGUTxYcHUl5iOFNPLq3TJ8DWC4j7XfzWZvY1vOGDzKriAoERQORv7a2z2YiDn8pqNCzlcD4qrWaX1rdSY1sH5cQ79tR+5qfDtOZwFT26eITDpK1AIFAOErnRoQGUGGGMQ4hAIHBDgJ2UlETr1q2jYcOG9frZ4cOHqba2lmJjlfngCrwXVBejQgLo3HFpFOVCOMcWBDsPLRpO3soD3+yjDfnVdNMJ2XTq8GTqT3DF7dqWdlZpRRVYC3iOZrMdlfIA22xnpSDA3lNaTzd8sIOp179z6QQK0EkJnreZ69EuywIVPKfC9yYQ2AMBbLiM7pAgFdoBOO6vfHcr7Smppw+vnGyx8ZK7uL/q3a3U3N5Jz54zulcnEw/A3/ytkH1944fb6Z1LJ1K0SLwKBJqBl/3tn+6iiGB/evuSiZQW7T1JZoGgv6JqRbpkyRJ64oknmNBZUVER+15HRwdt3LiRbrzxRpo3bx6FhIgTvC+AiuI7m47TC7/kk07jrV4F2ophNdbe0QffnAtizCJnGNmsbzVVnrWAxTUnTGGLOFfrVlLBrm02bTOy9noF12QOhKc/tYbmP7eWVfO0gCA91OKFre25BP2bL3aW0EMrDhj2/DhWcY3HNM9us2uEHHBc3/HpTmpq72SJJGynPTbmW0UIcc395w8HddlugaC/88n2YvZvQ2snfb+/3NObIxAI1AbYS5cuZWrhjz/+OM2dO5eOHTtGixcvpksuuYTZdN17773iw+0joOoAQgP9WBVbTVUEAmfS4MsrfbAD+p+4D4LSM0en0AUT0slfh2otWrbZ8/oNoCAuJy8T/vtK1OabVM57yxFcQzUe70cP+7YQc/LAW88BgW+w8VgNEwL8wWyNaI+thbV0x6e76KV1+apeI8fctl1Q0yz7b0IC/el3s7Is/69sbLP7e4Xm58Q4x6WTM+iU4UmqtlEgEPREak+JUSmBQOB5VK9M77nnHhZor1q1inlhh4aG0rhx45jAmRA36zuU1LWwf2HPpaZltralgxb8ex37ev1tszW3IesND+iCdayA+hJ/WaiPmBcP2BeNSGJVLKXHCrdzw8yyXFAxA6gQ4zj961d7WQX8zUsmkBYazHPksDnSo00cAQhRO7WY2+cFAjUcr2mmPaUNyFqyxCWOddOxJfmd2hZafajSkjhUCtcvKKlTZteF8Zq40CC66aMdVNlof4FfWGO6lyCwvmRyJvkq+0ob6L+/FjB7wBtnZ3uV5oOgfzIjO44JhD635qiuoqUCgUA9mko/mMWGRRcC6gsvvJAOHDhgURQX9A14NjQ+XJ1dEbfp4sGTv593HR9c3ZyrnQvUkxAeRPed2luXQQ4WtXkFrfrWCrY/CzS2FdWZn6NL1QyqtIIt9QnXSoh5W0QFu//x8bYiau3spnlDEigtRlsgVmAOUI9UNdHTL2+korpW+pfNvHNVk6l6rKbbCCRHmQSSoMavlMRI0z2i0rwNtgxJDKeq5nb2r6+Cc/iWj3dYrA3To0Po+lnZ5EtgXh6daTNz4jy9KQIDREtFBVsg8A5UryAxf/3MM88wOy5w6qmn0t13380UxPGz+Ph4PbdT4CEggAWiFYqb2VYmQXtnN6l8GsPgFVPpdvYnMD+J+evwoADF3tV6gkX32WNTaXhyhPIKdpA/RYcEsDZzJEzKG1spPVq+QJMtmGMDETq1nvMZbC4AJ+g/vLv5OB2taqaapjZac6SK3rpmGqm5BCJwrjFXpk4YHE//+cXUAn7Thzvon4tH0JwhCez/UNUHWXHqFLpTeYBt7lySK7AEsTL8LZJdcIyAFzdGRaTAfo9b8GH8YldxPUEB0J4gmrfy67EaS3ANShvsJxO8FXQ+XPjGJvb1yxeMpbHp0Z7eJIFGKhrbaGdRncUiU1SwBQLvQFVUsWLFCnr22Wfp+uuvp88++4xVscHDDz9Mra2t9NBDD+m9nQIPwYWk1NpsSRdZ7V3eF2C09uMZbADl0dP+s4G1lWoFlWME7FyFWwkTM2PorvlDaMnoVMUVbCQG0MrN7UkqNC56ueBbhE4VbMy5/27mIBoUpz7oF/geCCIRXIMVe8tpf1kjvaVyNhpOB3x+eUhiBD1w2jA2tgNW7rOKGh0xB9g5CeoCbK4+XFTbwoJkV+B37v5yD1MQx7V01c0z6aMrJ/cKrm1ZdbCCtZPf/OEO2nDUKn62vaiO7lm+lx757oBF08Gb2FlcZ9EkAeUqKv3eoKkCYJcm8H02F9TQHz7fTR9tK6Znzx5F95ys39iXQCBwc4D9/vvv01133cUUw2HVxdvCp0yZQi+//DJ99913lsq2wLfhVRMoNasBgQ9vE1c7F2gkg2JDaXBCmG7VSl+D22nB/kcr3+wto9nP/MKCdncwMzuOrpo2kCZlmqowcWbbMWmFSUuAHRmsU4A9JpWumjZIdVVR4JtwJe60qGC6fqZJBGzFrlJVz7W10BTY8Wov5pjvnDu4h3gYhPkOVzayr515UTsD88QjUyJp7pAEajYnsJyByhkCa3SQOJtFRuJNOiIxKyeejU4ghH/0h4OWpNzRqiYW+H24rZg+3mZSRvYmbpiVTatunkH3njLUUj30JaTq8LzrQeDbHDIn1cZnRNO0rDganOC7IxgCQV9C1QqyuLiYJk6caPdnKSkprE28oqKCUlPlV6ME3sn1s7Lo3PFpin2NpaD9ur2zk7WIextPLB1F/ZlwcxDZaG6L1gKvKIeYPa2VAKV5Hthyf25XYIZQOkfIrb60JnLiwwJp0sAYn54VFXie3wpq2L+j06LYAxyuaGBjKUr7ZXjgnJdkHaHgPtWFktlsjCGEBfrTwFh13RJ+AwbQ68vGy/79TYWm9zh5YKxTAcvv9pfT/d/spzm58fTPJSNZRxRe54L/bqJj1c308+Eqen1DAV08KZ1OG5FE720ponVHq+jSKd4nhhYeFMCSe8uvmyr7WuVtwdjpI5NZIkXg++RXNfVwABAIBD4cYEPcbN26dax6bcvhw4eptraWYmN9Z65K4BgoKeOhBd4u6I0t4v2dCB0r2Pw5woOVB9gb8mvo1k92shnsNy5WpwKuxurLHvPyEtlDLyoaWtlcHBbjKeYWXEHfZ2O+KficlhVLKVHBrK0YATAqzpkKNQLunJtL+8sbWJWKk24WTUNiCjPTSIKiGwd6Ge5ya8g3t8DnJZmSUct3l9LbvxWaVI1nZ/f6LAZJujhQacuICWEJglfWH2PV1R8OBNM10wexAHvr8TqWtPOkNoQjIKpoq+DuS8EYOrcEfYMyc9s/Org+3FpE7V3ddMH4NF0cMAQCgZtbxJcsWUJPPPEEEzMrKipi3+vo6KCNGzeytvF58+ZRSIhYSApMzBocz1R01VQ2Be5qEdevgq2m2yFQRXCMeVM80H7KFxiYS/U2wbrnfzlKF72xmb7YWeLpTRG4ia7ubjpUYao6j06NYpXhbHPb9lFzFVEJQ5Mj6IxRKZa5ay6et3BoIj142jBKiQphLdqvXDiOrp0xSJftl5N049XzTHM1vaWji/aXN9K+soYev7fteC37d8rAmB7f51VU3rqMFnhU39FWj/nuTeYuAG+ZX77xg+30+I+HenxfjeaEp0C3AGfl3jIqViBmJ/BOysyaIxjje+T7g/TEj4dk6ScIBAJjUVWahP/1jh076PHHH2cPsHjxYhZk5+Xl0b333qv3dgo8xJOrDrH55PPGpzGlWDXcZ55X8yT/+vkIBfoNoOvMs5Ccpa9sZBX2F88f63PtfnrA7ay42JsWGjUE2DwoVtLeffeXu+lQRZPFqojPRXobat6bwLepbGxjwSYqybBy4gJiCCSLFXpMO+OhRcN6VKrCgwKYYKAWvtlTRvd/s49V3p90MULD579RiZZWRqWBHMY/uO1Xtk0b64iUSCYAxxmaFMHez4TMGCraVUp7Sutp9mDvcCSpbW6njcdqWJv1HXMHMyE4BDNlDa2qu27czUOLhrOk5Mvr8mlvWQP9ecEQWjpGjPL5KkiEcR2ANIkGAsbxfLDBQiDoU6ju/b3nnntYoL1q1SoqKyuj0NBQGjduHC1YsID5Ygt8HyyM3tl0nH19zjjfvQnXNLXTfzcWsK8vmJBuSRQgy8srMKgw9UcswZ/GtmppgB2mQjAu0Bzoc19yOXARJsyc6sltn+ykHUV19OeFeazzQq8khh6fsbezq7iOdhTX0/n9vEURivarb5nJKoQB5nMMNlYIuJWqY+M51h2tpozoEJpiY2llxGcMD21cG0tcJAIQqGH0AQnKTHNgzVvAsc3cjx7BNQpqGOGID++ZxJyQEc3a3rcU1hK62vnfc6EmroruDdgmEPE5/Xy4kr03BDkJNu/NG0F3AB6bC2tYgP3s6iPM5cBd5yqO/Q+2FrHPEq/LdQQE6oDnNcQNsffQxdLTflRE2AKBJ9E0XAsxs7i4ONYiFR0dTdnZ2SK47kPwzCgWUGqr17ZtdJ5YdDdIWh1xQ+LvhXtgS4Og/gaEvM4YmUxjzCJMWmg0Bw5qKtjB5iBEuk9cvp7Epktv5fzalg7y1+lYDVaRPPBVLn9nq6VaC7/m/gxauKVq3tfPzqb7lo6hutom6lDQzYCq99+/PUDj0qN6BdhGkGRuQy9vcB5goxr9xsXjaU9pA6ucc4FAJLzgUV9U18KU81HpBWhht01kDkuOpCunZtLNhbUs2OLnCoLuiyame5VPs0Vjwny9gTYJ3h+8x7GPfOl4R6cAn9/H/kMngTuA3dzza44y9fhPtxfTg4uG0fQsq1ClQPk1BiMidS0d7NxBkgoJHyX3UYFA4EUBNoIleF6/9dZbveaPMH+N+WxUtAV9Y7YnMSJIU4X3yne20o7iOnpy6Uhmz+JueMUIFYYsSYuitGU30Mvmdt0FbD3w0AME6ajQ8XlMo2ewue0PD7Df2VRIK/eW0xmjkunssWmklvoWs01XiD6Be39pEeez8AC2TYLei2E14mPcdg7K2+6A29M1tJk87e0lRbGAxz1heHIke3DwuzFhgdRU28laqgGf8+Ue27bsLjHNaw+TKKRjNtvbVK6504JU9BOBKQJs+GN7e4ANv/FdJfWsa2DB0ES69+t9ljZ/dwXYJ+Ul0kOLupnXOZKYt368k967fJKwMFQJ7n2w7JOuYzDuBaEzgUDgWVRFFe+88w598MEHdOedd9L333/P5rFXr17N5rH37dvHgm+B7wNRF5AUYRXWUQNfn3mqgtdgXhjZ+hrzYA6xHVc6F6jn8qkDmQUPLK6UwjsI5Fq5YXyBH0+8RRwtrbt0mHHV2webB9itfbyqkG+eu0VwrUdHhBwQ2GCeFCra3gRab1F1PlhuEjrTOuICYsPcE2DzCi1aT+1ds/H9i97Y5FAEjSdX+HmE9vGzx6Y6Ta4i+B6Z2jvIQ7Dw/JojXiF2xjuhpB06CFa5C4K38+G2Iia4CGs1BGKwQwN6agLIYeGwJPrk6insa8SBPx+qdOvr92Usji39oFtKIOiTAfZXX31Fd911F1199dWUkZFBQUFBlJycTKeffjq99NJL9Omnn1Jrq3sv2gL9sRWwUQuvTiIocgdYAGKO9pHvDvRY6EXY2EfxALu/Vq/5Z4WFMq/aegoI6WHBxxd9rkALKodXsPl+1Noex1vPdQuwA/pHBZt7NcOP1R2jIBDAuuKdrfSftfn0zOoj5E38eKCcPt5eTLUtpuCYt1z/7s1NdPvHOxWPLLizgo1KO6fJThBdUt9CR6ua6d1Nx5nIki1o9c6OC7N0PU3IiKG75g9hQpn2iAkNYHaB8+1Y4+GceXVDAat0evoaxSvY4ZLrAoTgwJ6Sel2sDo0EtmcAgpAkmdl1V3IK9xoOxgUgFAfe3nTc6z87bwUJ5Z8OVlq6RPTUVBEIBNpQFVnU1dXRqFH21UUHDx5MERERVF1drXHTBN4TYGtr9w9080UfVa01h6vow23FbIHGW8QhvgSfSE57R3e/nr8Ga49U0Zxn19LNH+3Q/Fz4rNVa1kSGBND9pw6jPy/IU2QJhuQNP74sPtgaAlmIO3FFdb18buHtfenkDDrRy1tItcIFqVA84RZVRoGg4PK3t1j+b2sL5Wl4W7dU+Aqnxje7Smj1wQpF5wkPPpCEcgdoYw8xXxPt2fdxYcjv9pfbHR36v9OH0/tXTGJe2HI4a2wavX3pRMvst73kLBTZr31vm8Xz1xPwpB6SAVIxOwi3dXuZIJstuKbxRA1EzgCSIPiai/AZCe7Bc579hY2L8esrRnnw2UFxf1OBycZNoIyPtxXRnZ/toq92lbL/P3DaUHrm7FFMUFEgEHgWVXfs0aNHsxZx/GvLr7/+yoTOkpLkVaIE3geqErhgf76zVJcAm2dV3dW2VGle3AJkdjEbNzsnjn4+XEX7yyULcajWxob2mKnrb+ipcH3Sc2vZ7NcnV01mFQojQfB75bSB1CWpilgq2Brmz6RdFnr5aUOoyQixJlSM0d45U2YgYzSHK0wBxvaiOnpq1WF69pze9we9Fuu3fLyTtZdKA250LnhDNwoCCB6YwptdmkQCuAwiWAuXGTAbJebnDLRzd3Z32x2dUZp43VfaQAPjQntUxpWc548tGcmCiIMVjczV4tY5OeQJfjczi66YOrBX1X58ehQLEqUVWm8D28eTkLwzB7O70vldI4EIHJIklY2tFiG78KAA+uO8wazbxV0jJX0JJOlwrZXqG+ilpyIQCLSjKrI4+eST6bbbbqOCggJasmQJpaamUkNDA23bto0Jn82dO5e++OILy+/Pnz+fwsOtaqoC7wZVzQdW7Gdf33piDk0dpM1XlVch3KVsOTc3ns0BQkQFSrawfoEqLQJsqd8zFGA/vHIy9Wcs88Ea25dR+cUCCqhZSHORLAT6SHi4EtVDu+z1Np7mehxnWCNjwYwgnVfEvRFU6c9/fRP7+u1LJlCeRCDKU+RXWyt49iqfevHL4SqmTI1Z2AdOG8YWl0iUeUNwDaqbrO4L0rEUVIVxjCLRiHbncJkBdpMHAuy/nzHc4c+4Kjj393Y1P37xW5uZuvFPN89U1RVyYm48XTIpg978rZDW51dhCIE8BQ8Opfz9jBHkK44g6KjwhJMH/MPBiJSegfQ8O2MBAvnt4RjVgAaJtwvsCQT9EVUBNkTMmpqaaO3atexhy5dffskenJUrV4oA2wf46WAFHShv7KF0u3BYIsVKqjBqsM7GuifDjwXE6LQo1ibOF4PB/WQO1lPzwdyTWq1NF5jzr7WsCvTVtVPttovKV+tWf5whiHnxgnGkJ0gcYIGLde0giW2TFqSzvZsLa70iwH77kon0xa4S+sd3B6mjy7jz7OThSXTS0ESqb2nXfG0yAt6KC1EyaTCDr2ERWNHQxnQhUhRUTs8a2+o2pWe5HUKOfJ+/3VdOr64/RhMzo2mu2Uc+JTJY08jFpVMy6a3fCulQRRNrE4ezBdASLDpSSDcaT7wuD7Djw4M98n6/NLcwLxhqOh4E2sH6BszIjrV04UEwDvt6elZsD19sgUDgIwE2qtTt7dYFnitSUuQuJQSeYm9pPd352W72dZJ58XLN9IFsxkwreYnhVNuMC777bu68uoIA+7UNx5h9E+BVVkFP/2mtLeJ8ThRVX7WVRPxtM1Mudr0tqABWNrVRVEiApQ0XlXP8PyTQOyqZnC3Ha+mWj3ay8+A9nTomcF5ePW0gvbz+GO31kvljJGt427DReguoDntjcA2qnYiSRYVYA2y5IFnoCRAYIVVl203CVc2l7e9SkFxBOzfsuiKCTZXL3ERtCSB8lkgwoNX5798dYDP+9506lAmo2YIk3epDlTR5YIzD8Z/HfjhI3+2voLcuHk8JMu9xL/xylI0cnT8+3W6yA50GUk0Ie6w7UkV/+2ovnTY8iW450X2VeBxzIMF8bwdHq5roz1/uYRXQly/UN6loO7OP/YbPZrZNpRXH2OpDVXSkspHOG5/u1i4NXwaCif/bfJx9LdU6eGX9MVbZfvzMkSLAFgh8McCGYriUtrY21i6OuevISO/IsguUse5odS//a62z15xLJmeyh7t4+7dC+nRHCfs6OiSQXtt4zGLVJW2F/vVYNT3+4yHmv3rfqcOoP1ewtbaIW+dE1c+zowLd3N4lq9Phm71l9Oj3B9ls/RNLTYKLi0ensIe3YZQGAV/kY77RWzBabwHzr7YBH94/xAsTI4N7jQ14gmpuq2UnwI40f8/TitiuuPuL3fTDgQr684IhtGR0ao+fVZlb4BFA2yPRXCUtr2+l5btNlUs9Zn3PHJ1CX+0uZQEhtAc2F9TaDbBfXJfPKuhLRqXQX0+2L5r43haT2OUH24plHzMYndpT2sA8pG2BANuWwlp64bwxNDHT8UjVwyv2s2AT7e74TNzVebJ4VDIb9bI9d9CxppdbgiP49WloUkSv5AMq+UiY4DOZPCjW67zPvZWPthWzey7WLj19sN3r2CIQCByjqNSzd+9euvnmm6m4uNjyvQ0bNtC8efPotNNOo+nTp9PTTz+t5CkFXsJhOwqomGv0Rb7fX84CxseWjKC8pHBLcG3bCl3b3MFaDnkbeX/Eorytk7WV2vZwpWrzXGgJHrt6gqrOyc+vYz6/eqG3DzaOYVQReYB9tLLJ4zY3UFC+7+u99K65qmKU3sLH24rprFc20vtbjvd47S92lXpNouHU4Uls3vihRb2Tdjg/BihMaCFIRdt1s8SazmgQiEGPwN4s/ZljUuniSRlMhdoevH0bvugIhDFxpIcQH1733+eOYdoZoKyh1W5lD8E1WHWwwu7z1EnGKxoVdBJYr3G9A1J+3cP9xBFIOByX3GvcqXyP9nxokUivl1wrQ2p5aAS7S03n5Yhk+8FzsnkcqMLO/hTYB50U6OK5cGJ6j6QFV4S3518vEAjci+zUZWlpKV166aXM89rPz89i1/X73/+eVbD/8Ic/UFdXF/PBRoX7ggsuMHK7BRpBgFLX0mFZpHOLkdvnDqYnfjzELt5a2/o8BQ+ow4MCLAv+zJgQKqhp6RG8CR9s02c0Py+BVbK1zAZyv1wtLX482JcTnB03WwXp1WXBaW3vYhZLUh0Cb5lzh1L2r8dqqKCmmV7bUMCqF2lRwWwm9rdjNXRirufmG/Ormuir3WWSfWjMAg8BG85jbhUFQs0jAZh19wZwDuE8sHcu/PfKKVRf20SdMj8fnJMPfLOPKY9/ee1U1QKCSuHbbi+oP2tMz4q2LbZjRQiI9Wr9RTARH26qnFc1tvf6rO76Yo/5NUOZJoA9apo7ehxPcuF2j/aSiEg2YCYW56Yjthea2uWdJbXdCT9v0FJvhAI/rne/FdRQbkI4u8dMcSCWGm/uhJC6fwicA0vLv9ixtFRyDxUIBF4SYL/zzjs0YsQIevHFF1mQDT7//HPmd/3ggw/Seeedx76Xm5tL//znP0WA7cVgMXzBf00Vuo+vmsxaxFC5A+PSo2h+XiIdr222q5iqBsxA43Hm6FQWwBsNr+ahYohZPPDPJSNZRV4aOPGbUH/2wYZ1kB4quJEhgcznOVWGsrAeFezjdpSM4X/+3JqjlBEdQn9ZKM9P25Z2sziXnotNPueuZdFzrLqZLnlzc49qEzxkIXCz9kg1TR0US56Ei64NTghn22JU22lNc5tFQIwTbA46W9q9f1GJ48qUxJIXYKMSxWNxLd0hSuEBMVcwV/q32FZe8dV7hpzPfkODQQrE/mBbBLX2J5eOYtd1uBscr2lm1VsOvJ+fWjqKbv1kJ5Uq8NXm78feXDc/HmvN8/f2wKw32nl3FdcxW6pRqe5rh35pXT6zNFwyOsUymytN1iCRoneA/eG2Inpy1WHW7eDsHoPrmNRKTCAPe+uWQHPxSwTYAoHnkb0K2rx5M1199dWW4Br89NNP7P+nn3665Xsnnngi3XHHHay6HRUlvA29kY+3F7OFB1j80kZKjQqmyyZnUmFtM+UlRtD/nT6MjpgDbr3mJjFb664WR74QuvXjnZbvYeFvC2+j0svvuD+D2bnHzhypy4KhXYYKOA80pYtdVJhQya1NVK/Ubelq0LGCHRgwQPOc+5e7Sth7RmcJKkFYSEFZGZW6AD8/TQrNenaNIJC5cXa24fPNUOPuVcHu8I4K9ivr89nYCSq9I1O13QN5ZwhwV/UaYM4Z2LaIo0sAyVgEuc6U/hHEYl55QkY0nT6ip2aLVhwFZJiRBvOHJrLOFoxOXPHuFvIfMIA+u2YKe0+47eE+BLEvzATnxNtvc7cFM638/LWX6IDWB3AmXjc2M4b+vngEdXhAaBMaBejMmTMkgbhTFgJqXE+wFkAiBQJ8erIhv9qh2J+UOBFgK8JZt4G7HVsEAoEOAXZlZSWlpaVZ/t/R0UG//fYbTZgwgcLCrDcpf39/io6OpsbGRhFgeymLR6XQO5usM4znjkvrJUKWo5OdUI+sqjmoNxIE83xRiBZaKCyfNsK+wA7P8nJhkP4KPjPckPE5uPKfNhJYi6DV0pF4khQu4iL1qrYuLtQvYPnCRM+uBj2U2vl88R/mDaazxlqvw+CaGYMsrZ7YfZ7YhzywiDC4ymqxwJIs2kMCeDuzd1Sw0Sq8s7ieZuf09qb9eHMhfbn1OBPnO32ka0E+fi1DVVbPsQW1FWyod1/+zlY2N4uWdUcgeMXxfv74NBqXEW1IgI2AUTrWwluu+dhThnneuLalg055fn0PB4kfb5pBb10yQfZrShMN9gJsdAKx15K0n3sLuC7w88bWWg1JG5y7RnR/lJjb79Ei7oz4MOv+FFipbmpjHRnjM6ItyQ8c75e+tYUlRv68cAgNt5lr52sZo10cBAKBjgF2aGgoq0pztm/fzrywZ8yY0eP3mpubqaKiggXZAu8E1VzYONzx6S72f6P9EgP4XJAbMvfSBeE/l4ygVQcrmfosvCGfWnWILcYePM0kPsQrEv29gj376TWsmv/FNVNUHwtYxGH9r8Xf9eYT5NvW8O4DaSbf4oOtIXvPg3MsYPQCyupIYmHxg2SGGvCesLB35IW87I1NLMB47/JJrHrobvh8Kt4r2tnxOaI6qLffLw8UpFUxXtn1lhlsqQ+2LftLG+iH/RWUjDnlkfKvZ+62Lwp3EGBzCzJ7CulS1I5oyCEuLJC9Piz5cA3n3RtnjEph894Yc+Ln8CnDkujDbcW97Bnn/mstC7CRCJCDNNHBhaSkYFtsBdSkwIaquLmTYgKIAgcMYMcqWtxTo0IMT4hhnyG3jUuabTUZIzYNbR3UJXNkQS6oiuM6ALJddAlgf4Iq0SLegz9+vpu2Hq9jo1e8O2x3aQOzwMNxmGlHf+S88WmsS8FVUkMgEHhRgD1y5EhasWIFTZxoEg759NNP2b9z5szp8XuffPIJDRo0qEdVW+B9nDA4nm45IZuJvMwdkuAe6x43VLD5QgjVHlRZLpiQbllkrNhbziqePMDGwgye3/YWwv0JBKltnZ2a2sqe+/kIE5RD27I7rJIumJDG2pL54qynRZQOFWwdky4Ijv54Ui77Wu1i+sXzx7LqhbPtxqK2tL7FMwG2+bzDIv7sV39lX6+9dZbu3SH2Ajzue+4tHvfcgotXNaXwQFluOzsPcN05fw3SokNoysAY5sIghVcZPXnNxHV75Q3Te31/3pAE9pByzrg0FmCDiGB/GhgbZukGcZUkkIIxqjW/n9WjZV9KUkQw00NIc5CghLL5lztL2fgEZpJPeOYXFtKuuH6aQz9xveCt9Aiubbsg3lRQxVf6mrge8fuwM8amR9FjS0ZSiovf608gAYPgGvxk1pEBqGiDSQ483kdpHEkRCAQeCLAvuugiOvvss6mkpIS1gX/99dc0c+ZMGjp0KPt5WVkZLV++nJ544gn605/+pOMmCvRkT2k9FVQ3U25iuNu8qfki2x3CG2gfRCUWFT9p9YwLtuH7vK3wwgnp7NHf4dVaLW1lmA/Ggkpr5ZdrA7h6nqummdqi7XZKaEgUIABCVcsTQaornFWDeQXNU/7KDebXlQZeOJ70FE5ClwQUqgP82nuMESC4QaDizhllR+Dawqv5EXbsnKzq3PLOtcZ27f7yapiWFccetsAeDvhKUhLdWmeMTKbv9pfTtTOyaNMxq5I3FMfzq5uYd/UQF44ZOPeCA/CwHwzD/urps0Y7/Pt8c/v6IKaZMIBpCKDTAYGo0QE29y3nrfXuoMwsHpcYHuRytAHn9Im5Iri2TSJ9fOVkOsucrMR5h2seP36FX7hA4P3IvmsPGzaMnn32WXr00UepsLCQZs+eTf/4xz8sP1+2bBkdO3aMzj//fLrwwguN2l6BRr7ZU8bmr5FF//2J8ltytWBRh3ZDhQmLF3ttzlJFdGlbocA6b9yhITB1ZmEjl7u+2E3f76+gP52UyypPStGjgg0F7KmXxBqyyMXxn6xBZd0ZvFrqTGTJSOD5jNfGPDSUgy1idTqu6bFQf//ySXa/b3SQIhcEzvw0slfBDg1S1s4+NDGc/u/04RYhN0/DOwhcCVe5E4xd/OO7A7RkVIpdUbl7ThnKHmB8ehStOVzJri8bj9Uwq0re0m9k0uVolaldOsvcLo2KOF4XbdSugnu9Kth81tkdcHV2V9VrgWOQtIENY1FdKx2uaqSIhgBLNXuKA9cItI8fKm9k+gMiCBcIPIuitPi8efPYwx4333wz5eXlsUBc4L3YEwkyGgirYGGDqrmnQHWLm+OgjVwE2FYCdahg89Z8LQG23Eo6FtRYmKIzQjrDiP+bHt4RjEg565Vf2Wf02bVTKClBmT3P5ztL6H+bj9OCoYl0xdSBdn+H22IhYPAEOJ/4OYVGAgSZ3PKsP8ETTfgMMCdpi3VeXN5nA2sn7Hdvobyh1a5Ylrt57IeDzJYLLdeD48Pok+0l9MXOUtbG7axiOiw5klZcP51dp655b5tsK7IthbX06Y5iFrScNz7d6bVpgE23CZISSD7hW3xuFuJUUFlHu/pJecbu30qzXzj3D5fy1KrD9Ouxarp6+iBdR8XiwgPZcQuXAzkJiK/3lDExOuileEMnireQHR9uCrArmsjPfFxDmR82b/b4bl85vbL+GJ03Lk0E2AKBh9Gt72zx4sV6PZXAQKo90OKHbKujjKvewJrl0x0lbIYQgh8cBGGYWcJCB220aJd7dvUR2lJYQxdPzuw1u9efsKhvd2kPsLW0ssq1GEFwcu5rv7Gvf75lpiWwQ+fC2ltnkzeC6nojdcqyILOlsKaZDpQ30rh0x8KRPMDmAZ4nwX7s7Ohyq5Ltk6sOseTCzSdk617NRlISyR97M4+2QDAK4HfttfRbW8S9Q5DNEcdr4bu+hc3Uf3ejVci0vKHN0pbvSWCDhnMCrcjcSQDXfDlK69zijV835LTrQ6Rs+e4yFow7CrBPfn4dm1FHay+qj5xj5up1WnQoe03YdI1IiaCPt5tEq4wGSu4Inu2N3RTXtdD+8kbLftWLCRkx7CEHnCfoQMB+mJUd1+Oz66+8vuEYNXdgxMa0z45UNrEEDbBVDpciVMQFAu/BvYNdgn4ZYLuT/OpmentTIY1KRaWhZ5txZLDJkoS30cLPdUdxPdUa3CLo7ejhnclnf6NkBCGOsKqAO1/wSn+ud7X60+3F9NrGApZw0XOEgi98WlUEnVXmCpSzqmGERcXYQy3iK/ezquBV0wayfQLBMb29WFcfqqTn1xxlPuC3zRnc42df7SplFTCMvugZYEMVGqJtCJgROLkK4GAz99PNMx2KYYWaE1ByA+z9ZQ1UUNPM/MXdqQwcHGC6VuLtSq2wzhiVzJTsh9iIn7mbKHOQjOO9sKaFfZ0Ro2z8ItTcYSCnXZ/7vIc7ub7xz8hWwI6raedIOrhyzW3hhysayWgQ1DvSlFA6smAUGDlobm+l2pZ2yiQRYH+2s4Qd17gHITmCcw7dI0jQTcqM8QpBWYFA4BwRYPcz5Nqs+Cqt5sWNdOaaY6pAtVqqTHxRYe93+xNQJMXiNMbstakGbk8TFRpguBge98DG4l9vb2BUK1Ed0zvpYhHZU6FDADsfIFVMtyUzJoRGp0axlnl3A02Dz3aUsK+vnjbIMFFD+OpixtBesIC2UgTYeiuJo2qJII7P6roSikKQhUWwI1utGYPjae1ts1kLuRxW7C2jN34tpIsmpvdKKhgJH/XAOh2fKW/blePd7Q6iJbZYvGsjPVpZYMbfEyqFrmjknQlORmD4SIBtRbyk3pwAiA3rkYgBqHjjuPLUTDtPMkCkUk8gygUNArnX53CWeGrt4TfeX8F1E/cgcPKwRCYCB2BBN3mg805AbiHnDktUgUDgQwH21q1b6bPPPqN77723x/cPHDhAb775JlMqHzVqFF1xxRUUHi58/jT5yLqxgr2rpJ5u/2Qnays0yhaEwxfYEFuy5YXzxrJAh4t6cR/s/j6Pfcdc7Qt3tC+Xa1TEtVSwXbRR2/PABqi0wdsd2fu/nz5cVkuvLTzzr3dl3PaYUyVS5CS4Q+DjqeCn2pwAMLVR+9NZY1JZkBGtIWFjj5rmNofdNxarLp0DBVy7pMlJrUrMOK5QNUSbsLu0DdSAYBGxEU6HxtYOr5uLtfpOd1jO2cQIZftGiX+6nP1gCdjbO9l5jkAJ/0KNHZXv8TnWMSQkYNC6jePJWBdsov/8cpRpj+C8TLIRHZNus55c/NZmqmhopdeXjWdz767Q4/y94YPt9OuxGjpnbCr9af4Q8lVQucYhHRbor1jrgI9LiAq2QOB5vCbALigooN///vcUHx/f4/v79++nCy64gKmTY8779ddfp9WrV9O7777L7MIEjlWLP9pWTOeOTbME07BA4gv8cDfbviBTr6e3sCP4+7NXlbZV9eXBeH+vYOvBw6cP1/wcgQHKWsRtjydUD9ceqWICW1gwqgqwzc+tt3+z3PZ3tQG2tyhLYx9cZ5APOh9v4TO0UnhCTa54mFyO15jae6+YmkkZMhTgN+ZXs6ozRIiWjE7V/Pp89ELNsawF7EcEXwgs8UgwJ2dh8QihLncmaO0RZU7eIMDmImVKg5H0mBAanhwhq3psdUkIkBUkXvnOFjbbDK6bMYh+NzubYmPDqbra2hJ+57xccgcfbC1i3R0QHXMUYOt53mCdgeAa12G516wQjduB/YPgGsD3/I8n5Tq1NfRmjlWbLN3QqaP0PQT6aXfSEAgE+qA5smhpaaHGxsZeD1ST5IDf+/zzz+mcc86hhobegh//+te/aM6cOcxb+7TTTqOXX36ZDh06RN9++63WTe/TPPr9QXpxbT49uHJ/j+//44zhdM/JeU5b3fSGZ1XdIXrEM+B8sSOnndye2m9/RO45axRom5ydE0eDE6ytlPbgdmL2gmCLJZzKY43PDetdwVbbIg5VYiSnXLWI9wddB2cOCNzGynb+VSsF5vleKD3L6XSB8NbnO0vpt4Jauz/H6ME9X+2hP3+5R9br15kDO16xdSe8WsvbhxHAXPnuVrrjs13kabjWA1rEK8wJqASFFWwo8r9x8QRaOsZ1IqSm2bQfop2MwPDjAxVIHlyD/6zNZx7unrqmc10Ge4kpPoOtZ4s4klK4jOK+KjfA5q3qaivptlZrJWabMF8EozBctE8pAQaN5wgEAuWoums3NTXRPffcQ99//z372h4rV66kQYMGuXyuI0eO0EMPPUQ33XQTlZaW0rp16yw/6+rqojVr1rDX4kRFRdGkSZPop59+olNOOYX6K7hxorLgqLJxwfh05ikMYaA9pfVMeRItnEZbghgloqVHBfvHAxXsMXlgDJ0xKsWSLe/vAfbdX+xmnwva6uQsNh0F5lorBqcMT2IPV/Dg2V4QrFVgiy9MeFJIL2bnxFNOfDilKlw0YcGJiiE6Upy1328urKE/f7mXVT1ePH8suQskADbkV/dIAGD+Egt2BNx6thZbxlvsBArBBrS6olrLjwK5Alo8UEF7p6NzBXZS4IFTh1pmJl1VsCOD3Z9cCWfV2jZqNAt8Qc2ez/t7GlTQcbyFBwWw2XQEVMOTlNnfKQHnH4h1cg7yIBH3ICQLj1RZ10b2Ems4Fo7XttCu4nqal5dgiL0gRjX4ldBeUh2JCnyOjo5XNRyuNL3v7Pgwi4WiKyyK7ipnh20r39gGT+hR6EGZWdFd6cgDGJseRfefOlTV3woEAi8IsFFV/vHHH+nss8+m9PR0uwvruLg4Wc+VkpJCP/zwA0VERNBjjz3W42cVFRWsGp6RkdHj+2lpabRv3z7qr+DG/MCK/fTlrlJ64bwxNNGOquS4jGgWSKLq8M2eMqfWDkZjlOiR0hnsvaX1zG8T1aAzmCKsP0W0Wf17+zPMt1jl/tl6vI7Nv6Hd8tWLxpPRIHC7YEK63XlIrccaD8xdBT5KuXRKpul5FSZzwoMC6P0rJrn8PeQ40EquRcVdDWiHfmfTcfb1FLMAz22f7qSdxfX02JIRdGJuglsEGvVudUVbLbqAECQ8tGgYfbS1mClnT89yfl9rNrcrO0os8Ioh29aOLopwFWB7sIINJ4b4iCBLdwAPsNPNXs6eZOqgWOZnzclLMqlyG8WrF45jCR5nrfrDUyKps7ub8pLC6cppk1i3wle7S2ndkWpLZdGWy9/ewtq334gbb8g9mouz4eXtJZ0Xj05hDz2BpRTIiXfeiSRl2cR0llxVq5Rvm1iDOvvMbHlrUG+jotFUwebiZkqA0J9SsT+BQGAMqu7aqDI/+OCDrGVbK2Fhji/CvGU8NLTnBQP/R+CtFqWLXCPwNy+s+L9KOFTRyIJr8OPBCprq4EYyPTuOBdhYpOE9Q4xoY34NqwBNzXKPL7XUmgZBj9Gf/WVTM1l1GvPWtq/Fq1wd3d3sZx9eNYV8bd8bARfgQmypZv+0dXWxuTsIq+ixf6W2QPbIjAujPy0Y4nTWGWGWmm2JCw+iQXGhrN3UiGPVqH0fYg7c4GXuzuvbGaNTqbS+jb7fX07nTEhjr82PJ7X7wBFocUVyJSEquNfz/vXkPPrzwiF2z3s1bD1eawkWvthVypKU54xLo9kuEgYt5sRORIh/r+3APsfxycXD2mScL7y9NzY80O33rQdsdBUKzcrGWfFhXnEP1cq3e8vo6VWHaUJmND2wyLmGBN5viovk1fWzs3v8Pz4ymC6dOpA9HJ33EABDB8iBikYa7cTnXi28IgyRtUA3JZJ5ezau03KPk7FOrKfkgHNJSn1bp1cco2qu9/eeOoxuPCGbJf694T1wmNhhkL/sroT+jret8wQ+EmAHBgZSTo5+HrGO4CJmaBWX0tnZSUFB6lpg/PwGMLERbyEqSnm2sarIqmx7qLK51/sprm2mt9bn0/f7ytn/W7qI/c6Bmla66/PdlJ0QTj/eOYfcRXdQoCWAi4oO091aSQrep6MjMyrC1DI2wN/fK44BNfveCCLMbY8BwQGqPpfAENPxGKby7zlfbCuiOz7YxhJGb141VVOgGRIWrGpb/rpkFP2VjNEGwIMvmPTe9/GNHZZzzN3H9h8WjaA/LLL+P8zczhwYEqjrtnx84yyHP9P7PTdKWlXLzDO++J6r1+kwN5XHR4c6/N2woAAmyhQs4xj9x9mjmQ/6sIFxFKmzKrtSimpNgdPwzFivuH6Cwuom+npHCWUlhNOCEcmK/jYoJIi1aGclhuv6fg6WNTCV8OSokF73OtvzfuygWBZgH6ttNeQz9atvs/iGu2ufVZu7LrKTI932mn6SNZER93gkfTGaBH94NSi93icnqutmqG5so0351SzJeYLO44CPfLSdvttTSn9dNILOHJ+u63P3ZbxlnSfwkQB7/PjxtGLFCho2bBgZCVcUr6kxqUNyamtrKTZWXQW2q6ub6ursz427E2S1cOLV1TVTp8J21oPFVgGd3cV1VFXV0KPit6ewhp778ZDl/1X1LUy9tKzK1BEQ7D+gh5qp0bS0ddKw5AgK9BtAFZUNlgqXu+loM7WYNja3ufX967nvjaDLHEzU1beq+lyqakznE5YeWj7X5qZWNqvY2NLu9HnQDojZVAjZcTVhDlohcSZU1zZRdbXyFjujuP/rvfTp9hK6ZU4O3X7KcNn7/uOtRfS/zcfp5OFJdNV0x5oWLU2m6iKCeHcd29gP9lqhB3Sb3ldNnem644uUmau1ID0qmDajMlfT7PL91DSYgtABnV29fpef92jVxa+VVDZQtIv1+tT0KPZvB65ZZpsyT4B9XVJn+kxiAtx7/3DEHz/dRd+ak8gjUyNpUqqyNvEu8/2grsn59aa0roWe/ukwpUeH0I0n5LgMxK5+fSMdrWqmp84eZRmRcHTNHxhlSm5uL6gx5DMtqTB3AaKDzc7zo+0dnyM6Jd69fKIuytuTM6Ip1H8ApYYFyn5PaOmGJR7mpicNVF7NrjDfgzi1jfpee/6+cj8be3n94vGKZuXdfa/fUlhDV7+9lTJjQ+nza9UlqR0Jwn6zs5iJ/QV2dVFlVYOoZPvYOk+gD9incrsSZAfY3333naUtGzPQjzzyCBUWFtLEiRN7tXCD+fPna/aqxlw2hNIwbz179mzL9/fu3Uvz5s1T/bxyPUjdAU48pdsDsZIRKZG0u6Sebjkhm1rbu5iAGafB3FbIwc0Tr8G/D1Evd34GCKzfvNjqf23kay/fXcpmBU8cnEBDk3suuPzNiwd8XrVNbfT7j3ayxe7TZ4/u8fl58743Av7ecRNVsz187hTzz1rej3T/OHuen/ZX0N1f7qHxGdG9BL3eumSiKcgeoG1b9IbbpyDZpGTf51c1M2XqiZltTn9/gLlDEmMY7njfqMDOf24tDYwLozeWje+hYxAgea/u2gfrj1bRmsNVNCo1SpZQnlxl9JtnZ9PQpAgmTIYRG1fvB22UPInp6Hf5THNDc7tXHaO2vPDLUfpwaxGdPz6d5gyJt8yCh7v5/uGIoxIRsYSwIMXbFGQ+TnH9cva3BVXN9PXuMiZ0d90MxxZ0K/eW0cMrD1iE7hLtbJPteT84zrRG2l/WQG3tnboHLaNSIumjKyezwoK994gFILe3qm1yPmMul/PGpbEHkLtPfj5YSU/9dJidu+PSTEklJcwdHE8rr5/GdBpw/cFxqtcxCpX6L3eW0snDE1kyxp4auyvkXu93FNXRm78V0rSsWOZbrhQ/cwdNe4e+94F1h6ssSvr3fb2XLp6UQRdN7KmNJPDudZ7A/ci+miKgPnbsWI/vwV4LD0cq4loDbLB06VLmeb1kyRJKTExkz3vgwAF65plnqL9y6vBk9nAV8EB06smloywCOVwIRE9lX28Doktrj1RTSlRIrwAbgT4PQvAZbSuqY/OQOgtG+xz8c2nrUKe8zVW91bbPcYL9lfpg995xWhMlD63YzyopN83Oppk5cR73webqxa4sunhXiDuU+gGcCfBSqJjbigRazjMdrYmOVjbRn7/aw6qI/1wy0s72NNB7W4rYNU6PABsLyPKGNlo8KoUqzPuAB93OeHTJCKa67SxQsQiyuVh0QY39t4Ia5u8M0Up3A10FCHDVtrQzBfs/zBvMFLK9xV84IyaUJZ/UWHRJrRxdKc9XWcT1nL8GAi8eXOPSBJ9tV2TFhbLEJBxBimpb2HvSE5ybcBZw9nOIReL1IZLobr91ex7iaoAoJRTenam8qwVOLNiv+8oamcZDB7RkDJqr3VfWwBw98BpqAmzLvVzniikSvRxcF1HcEQgEzpF9NX3rrbeovd31AkOqDq4HV111FW3fvp1ZcmVmZrIg/+GHH6aBAwfq8vx9EVhz8Bu+1Ieyqa2rzwfY3KbLnvWWJQjp6rYsblHB9pYFo6eAqNfUQTE0MDZE02eu1dqK7x/+fI7gCuFG2NoU1jbTwYpGXX1hQVAA7xJQtvDhQV28i4Ujjve8xHDNSQ657C4xtZ6OTOk9KxjIzzMds/ZVzW0smHL0+VlsfnRSEV82yVqdgTI0QLCJoNNZEic8KMBsb+WYly4cx2TfXV2HcRyiUwNB2AdXTCaP+WC3dbL7yHleNnc5JDGcBSNg4TDl86b883cZYJtn8OPDnSe5pKrZ6DALd3EcAARqWXFh7NjOr27WPcCWA5J3CLCrmtppkMacIrrHkOTDMavkvqq3C4BWIG645nAlq15zl4RZOXFMnPCR7w/S/LxEQ4Riy83HWlJksKZELq5TelJgdhBA0QbJzL2lpuu/QCDQIcBOTnYtIALxMS5MpoZzzz2XFi5c2ON7EDN7/vnnmV92dXU15ebmMi/s/gxXWcYc6uHKRhYkQo2U46hSbfm+HXsjo7nojU3MtuTFC8YaaiPBb9D2Ao15QxJoRnYc+7wgbuPIzqu/sWR0KnuoBRW2CRnRzOdZC9YqrKsAu9thgP36hmO0u7SBtSiqmeXjVXxeCdC9gq0w6LT67zpf3KNy8/alE8ld8AoGAglbJmVGs24E2FrpRX1Lp1O7Ku5BrLYC5gwkKnE04MjANUyatFT7fHJaButaPeeB3SPANuAz1YNlEzMoOTKYJZak9z+9gzqe5HJ1DuI6ODEzmtkWnj3W1CIth9/NzGKJo6GJ+guC/XKkirYfr2XjNNMcWMzh2lFQ08JGILSA6/Y9y/fRjuI61gHy+xNzFO8LBPpq+G5fOev2wPGAhFBKVLCifWDLpoIaemb1kR7fm5wZQ+e+9isV1rSwLqd3svS/3pabFdiTVFh0gQCDLFGP15jWS3NyE1iAjUQK7mWe0tMRCHwB1f1AGzZsoOeee45Vk1FZ5gHy9OnT6fbbb1cVaGPe2hHZ2dnsISBa9OIGS8CItsi5QxLo0cUjegXSCCT/8d0BVq3947xcy/fDPFDBLqtvZRUgpRU81RVsc8uZbZWLV7r479nzBhUoY+GwJPbQCm8Rd3WMOGsRR9s/ZnFnZMWqCrA7uoypjvPjrFVxi3i7xT7MW0BVBwtQRwH26SNT2ENP6ltNn4OjFla+0NOjNRLewVhER4cEsFETVKz/dc5oFty78qN+/MdDLBi/Ymqm5nbV+pZ2j3lgg3BzBRYt778crqKY0ADKTYzwmmsmlLrRwq+W8GBT+zQSCc6sASstYxrO9yf+/vlzx7DqoZLrxwmDTfPtRrAxv5pVYC/p7HYYYPPxk0oZIxDOeG3DMRZc4/NcotBbmydzuG+3Glu9j7YV06DYUNYJMC49SlOAzb28pYxOi6J/nD6CLn5rM1vPGAHar0GiipGHnqNI+lawS+pNAfbotEiKCPanhtZOyq9uoiGJxvrPCwS+jKo792+//UZXXnklTZs2jSIjrQsszEm/+OKL7EZz55136rmdAjO4eVc0tLFqCsR3wLHqnjcDHkjjpvXp9mI2K3njrCwWiKdFh7CbkLvhCw6jZ0RbOjodtoj3+D3zZ2QvEO+vuPKfNhrcuFH9dCUi46yCzRcYaud/eYCGuUhPV7CxP+TOYLuT+7/Zx5JluI6MTnVPN1F9q+l8jXQUYOu4sNxT0kDXf7CdsuPC6P0rJrHvTRkkrx30421FbBsumui4nfqTbcW0tbCGFg5Nctpmyj2wMffpqQCWVxX/tnwv1bd20LuXTqRcAyqtngABMwTAXAGlbRArQ9wK10+9rx1a4BVhJBMcwRMHWirYWJcgwAV3zR/C2t6VAJ9u6fYqha952L2jullzIh+dgeCOuYOZjRraw2G5FmceE8C5YMT9sszsQqA2wObHXmdXN3V1d+smmnfC4ATKTWhm60d0qm0vqmNJCBFgCwSOUXXnfu211+j666+nm266qcf3L7vsMpoxYwadd955rIrtZ1bpFOgHWhSxhBxgzqgCVFukF1NkbmcPjmeL0W/2lLGbFtrgEJDzoNzdBBnUuuR4Brv3giK/qone3XycYkIDaYz5s3PXzKo3gyrHXV/sYdWc15eN99h2oFr4/Hk9VcGVBsGBGo8zZ8G7FrLiw5j41liz7ZLcYxkzmZgBdbW4x2Lv7Fd/ZcHdGxePd1ltUwuuM7/mV7Ov/+/04XZbBLHdEBFEu6JeokncAcFRNdeawOvSRSGdJ3yUAGEiHuA7m6/+7Vg1Ld9dxhaqzgJsLOJBVLBnA+yiuha2LTizoKTd3+CJjqhQY/YDxM32ltazc1ZvMTt0H4AIJ/PgaG1HAk9LsFjR0Mq6bdDtMT/PZE2m1BlFeu6pve/z64PWALvMXEnOSwqnCyZYk2U8wYf8LUYnwmXM2SsBiUugtvsF2/Onk3LZfZBJR+gU/998grV7NDs+jAXYh+xU+QUCgRVVVwcIjd188812fzZkyBCmHl5eXi5rblugDNhQ8BsJFt/IquJmgpYlBCgAM4J8ThAt0SzANld2PUWAmyrYzlq/sQBAlh2BJMSZYJcTJirYLDjBArrO3JKqlMd+OEgr9pbTVdMG9liMGAWSREtGpdC49GiHgZbSWefeAmr6ViamDopljwAF7bU4d9+/3FRBdQUWxyX1rez8Uvve5YBF25NnjaKqxvYeok5S3thYQC+uy6ezx6ayapYe8Hlkxy3iXAlf+3uvt/Navx2rYXOXY9OiHAZBUoE1Hpzagyf1XAUBnq5gI+iCqBGSs1CYxgyyrWJ8f+CppaPYMeFsn2oBYlr//OEQC0x1D7DNLdfOKtjXzBjEHnqsS3CMqFHYhqjXA6cNdZoIUBJgax0Vgb4Nez4b/QOsK3BvwHUWvxOuc4DdqDK5x0HC8xyzRZpRYCzocEUTJXrR2JJA4I2oujokJCTQtm3baNiwYb1+VlJSQjU1NT1axwX6wS240FKFbDFsa45VNzOVRx5gS+Gt0lj8bTteSw1tnUxMJUGliIa7bYqU8p/zx7L279ToEKdVdFT4V98yy9Bt8RV4Vh5zVWrA4hNtlHorlzqbWXQ0t6i1RRyJKbTX+WIgAa/t9s5OQ5NYSOhNdzDLaaTQDvYrAj5HlXwkWz6+crLFY1oLuEbaBtjf7S9nyTkkkRwFQVwMDAtwZx0QFrX8TnkBthrfXT1A++cbF09gQlm3frxTs7ibN3Lte9uovKGVnj5rtEM7K+yv+ADj3nt0SGCPVnRDWsR1DgQdCcGhO0wN6PhwZj0qN8Dm9zItiTZ0A1mTbP69Epl4DSTr8Tv6Kk0QfXfjDGpq66Ao8zHhDeCzxLUNyQt0ScI+TI2FmEDQ31B11T3ttNPoH//4B7vYLFiwgGJjY5mF144dO+jBBx+kE088kcLClM3gCBR6DpsXcJkxoaYAu7qZJg80tRuu2FPGqlnw8ZX6S/53YwFtPFZDD542TBevWCXwimCHwRXs3IRwj1fRfQ2+iGhQKTBjtenSFtwgIDv1hfXsGP/q2mmqKndaW8Rfu8iYFnks2pCAQOCvv7mL5L23I7ngWasbI4R20KIobVO0t0DP1Elbwl6LuDUJ1eEy+elKRJInPVtdqFefa1bC5+MsnqLS3C6LVuK+xvGaZtYOrLY1WQ94dVnt/LEz+PviImJGB9ie0org6yI9WsQhCsuTxfYCXVwLkPyCWrneoEIerDGZAwFKvH84e+iRKN5WVEs3fLCDdSy9J7OjSiAQqAywzznnHBZM/+1vf2OPwMBAZtHV1dXFqtr333+/+Gzd1ALNFpVHIHRmUnkEX+4qpfX51Uwow2JFgrlIi32X+2fj0c6Om6AnFWgt1U2Dq+i+Bq/UIfGA40vpPrIek9raqtGRwWfQnHU6oO0RrcoIVGzbEd0lpqcUCOXc/NFONtO38vY5sv5m+e5SevPXQpo7JJ6unZHl8vct791sNWYEhyoamUUXFlsjHQicWZNpvnmeWQJsSdXPaiHn+LPlFWxX/tZyFc9hrYSHN6jG99UA25UXNrpZIOqHwO2m2dmGdLYYec3iQbszLYQ9pfX0+A+HmLXVQ4uGq3odJOxnZMdqeg9rj1SxKv7M7DjFXRuWCrY5INYSYMOiEWrwGEuxt1aCHSK64TwpCOqM2z7ZyToWP7lqsi6+6hgHstedIJxYBAIDAmxcWB544AG66KKLaM2aNWzeOiQkhMaMGcOq1wEBASzYFiJn+oNMNOYAeTvbSUMSWBUb37O30OPVElSw5S4AjQCCSEaDjPI7mwrZImjZxPReN0BrdbObib99tbuUZufE0XnjjZ8b9mYwWwjbZyTtYQ0UrHB8gLfjafXExP5CcI8bt7Pg47EfDrEkEha8l00xWQRKPWWvmzFId5EyrViCKgULP3i1H6xoZNYosl6DH98GVrDXHa2mp386TCcPS6SHFjkKsI2xinFGTVM7vbWpkPARXD8rW5f5S2kHhcVCzslxyStaoS6qhRbLNg/rYsgBvr9Hq5o1KRt7M668sJFs+XpPGftaia+zt4xPIVBEKzOEqRyB9w57w+rmUE2jI1pt6R757gAV1bXSaxeNUxxgP3nmKGps72DV5fHpUZrES5G0dWbxaFSRAGJ3/1l7lHlg3zhb/TUM118E2Hp1C5abE2zS8//PX+6h7/eXs25IPSw6BYK+iKbBHFSrpXPY9fX19M4779C7775LL7zwglNfa4E6xqZH08sXjrP8H/OAtjOB0kr1g4uGMyFJZOCfW3PU/H3fmy+VA0S6/rM2nwUaF0/KcFwp6OqiI5WNtP5oNQ3UIcPr62CuCq1wqB7UNHcons+3HVvQuthEgO2sAuFMiEzL4gdt3Je9vYUC/PzoqbNG6joHJ9fj2+4MrsztcMcIBMSugLN5XK1t+va4+aMdLDnx14V5dlvBMd6AERgkFLUG2NBnwAJf2potJ0EChfgvrplCnUy+V06A7fzz+eFABVNXxny51uSVWvgxeOboFJqVY5xfs6dwpT7PZ3FxLzUqaWekw4acsQk1yT8j4IkpNa3yMWGBFEOm66S75pdRtNCzowFCtXAXyIwJ0Rxg65mwgUYBSJSsC5CUR0L+sFASFwgcoovyxZ49e1hg/eWXX1JTUxPFxMSwirbAM1gDbP8ebX18RrCvBthogweOFqPSCjb31VWr1tnXwLwWKnBqnPWsrWLaP0u271qdLzaNstLC3N2e0gb29QC9/E0UtgVL4arujqypbEFXC9rsjfThrZTRLmzEKMb243WWDhxnQaserzl3SAJ7KA2CcDzaE5q05cwxqazzyJkqNV7nT5/vZl9/e8N0jwXYXNDp1BFJFlvIvoRFfd7BfrUouRtoleZpbZBgHQKyT7YX04HyRpo/NIEmZDiu/sqq5Hs40IeeDUZ60Bloz0YPM87vbjpOPx2qpOlZsfTHk3J1acWW084vt8Vdi9CnLeUNvSvY3EFCBNgCgWNUn8ltbW309ddfs2r1li1bWEA9b948OuOMM2j27NlsLltgPLgZbS6sYe2YXFmZ28XYBtKWwDvI/Ys1tJX+fKiSrpw2kE4bYYx9G2+JciS2hUrg59dMYQvhZ346zL6nl0+vr/PI4hGq/5bfbKN18InlgYyzRRZfCPLftfX0xuzy8ORIOl+hZZh0gal3kGq1D+s2rIL95NJRZDQ8wHbmsw1ng1OHJzm08VIK5mB5cO0oIcY/X1wC8PtoWdUTi/K3Dot/XHNCXCSH+L4fYHBw5wreJs/b5vsaUN4HjhwQLHZNBlZFU6OC6W8L83S3AcO2v/VbAdv2ZXY6umyvdVoCbMxPrzpYSYMTwlQH2HycTc12PPfzEXbe431+tqOEJagunZKpqpiwo7iOHvn+IE0ZGGM3wMbYAIJrPjJz/fvb6Q8n5Tp0tnC3IJ2lkNChbwUbrescfm3PrxJe2AKBIxTfuQsLC+l///sfffTRR1RVVUXp6elMMfz9999nHtgCY/loWxG9vO4YLRiaSLfPHcwWnhBPAutum80qWNJK9Y8HKpiHK2aKeIXXExVsCOXkVzdb1EaNgN+YHVU2sehONVeYrErBIsDWyn2n9rbrU0uQjFlXnkixt5+hqP/V7jJqau9SHGBLK0h6V8cDVcxH1zbzxb33HKOoZoL4cMcBB8TPHnAggKaGFsmssqNrlzSphsW1v5+/6jGBvWUNzA4M3rwYnwDTBsWyeVb4/DoCyR1YWkEPY15eImmh1ty9gABX72SBEvj1cc3hKpqZE8/uL32JpMggyogJcThawv3XjfQiRwC8eHSKIffcVzcUUHRIgNMAm793LZVjPsOuZW0h1x/eHh9sLWIV4KVjUtkcM/IlZ49NVbU93K7S0dogO76nUwkcW6CXoRVeANHadi4dhdPzmh8nuebzMTL+M4FA0BvZdw2Imb355pu0evVqVq0+5ZRT6Mwzz6QpU6bQwoULKSio7wmgeCOobODGyQV1pAsDtrAc4NdjBnvb8Tp6f2sR86b968IhrLotVcd1F5a2JQOVhZ3N5srxuhWYAgxPqqMOS45gVi/OFkbOEila5n/53+ApdK+AWhS+lbeIG7m4N2IGW2+kAlSOAiFpNwMW6GoXqUhYXvrWFvb16ltmWo5DLChdaROg8vXOpuPs+usswIYS+webj7M2+8unDrT7O3Xm5AqCI0/ib74WfLqjhO6cl9vnAuy/nTzU6c8h+giifPA+AbcFORVR6/hKt+rrvx7BoZYuEel4GO4LJqHMbk2fm6NuGcxI93p9J+MrcuH3NV7JV4veIpNzcuOpuK6VkiOt1z+uKI57lBEdQwJBX0D2XQPWW5itfvzxx2nu3LkUGirEoTyBrWKzNMjAz3Bxfm3ZeHbBx0WQ+2CjOrdkdKpHtlm6vUbOmcmZzX1x7VFWRUelE4gZbBP/23ycZf7RGfHnBXnkKeTYxFj2s52buivRIjnPa2v9pQcI1E4cHE/BgX7UJXM2DucvRJbkKupChXdTQS1dPyur1wyxHmDRWt3c7nIGG4t0LO6w8NKj7ZVXsHFtc7T4xwKPK+FrSeLxDhu8ltLqV1ObvCoexIze21JEQxLDHQbYvILtLsEmR8zLS6D1R6to8sBYj1osegrLDLaBiQ7Y2W04VsP+RZuxXgnORnMlNtxFcgDJPyTj8S+ugXwuXVWAreEYkSv+Zwva+3Gt4c+BJCsaD9ReB1x1t2H/3HpiDr224RjlJoaza64eATZ/31q7p5ZNSmfdT1lx+qzRbz6ht3p+jPl8MDmPdDCROYFA0BPZd43Ro0fT8uXL6amnnqLNmzfT4sWLmS2XwL3wizCviKGigOINYgNkQHHxH5litfWR2nR5Er2VLe3BW6LsBV6cT7aXWHxdycPzjd4EqhxojTteo7zVbekrG1nQ+J/zx8oSedLK1EExbG4Rvq16espaZ7v1DySwWHvszJEUEOBHfjKz/VK3ADmUNbTRkaompgZvBLjOPHfOaNYSaeuJKmVXST1d8c5WSosOoc+unqJbBdtZdQzXPa2Vqx4z5jYJBFwzMG6D6+kZo+y387bIrOLJUW3mfvB66BpoYfGoFFo4NLFfBtcAbhTY30Y29aD6euvHpjGvX34/S1WAq6WCjWvT6ltmaXotPcbP0NI9KyeORkjWL3KQnkc4Tk3X707VyXxLi7iTTj+03OPx7OojLMDmujda4NurVdDw1OHGaNxIQRKaJYwD/Fy6JggE/RXZd+8nnniCbrvtNvrwww/pk08+Ye3iOTk5tHTpUmpp0T5/IlBoiSS5CeOCjAu8vcwvv+HBy3Dd0SpWEZEG4O5vETfuYjwqJYpevmCs0wwwq6g1Er14/lhmw+PBbmivAoqpoLDGVNlXQnFtC0vwuKtN7LqZWYZY3mCdgNlbX+1qkKrkG7WomjIoVrZwlF7jIKhOYb+4CjbhnwuLNS1+zbyCjTEF22P80e8PsqSBowCbC7GFuQgyQmRU6mqbvaOCDfS0IvI2YO327b5yZkN2zrg0u8e80eMQPbrQOrt0U4zngWK4G0bCrMkl9ds+MVOdOJptgM3HGNTOIFvExmTcB1D5t9WJUMtFE9PpzDEpXjWGga4KjNOhEGF7f0fCWCAQOEbRlTczM5MF2bfccgubxf7ggw/o6aefpo6ODtY6jqo2FMSDg5X56ApUVLAlN2FkbBFgY2GNCgxUlFFhwkKQ3/D2lNTTLR/tZIIun1ylvaqklEAdbXQcgTY++IQ7gy9+McMu5oas4LgAqE5iH8ltU2PteeZ4To8q10Mr9tPPhyvplhNyaNHIZLfOn2XHh9HKG6aTkXR1m+YcjcCysDTwHJNDYIC+gX5eUoSs/TIkMULza1U1mSrYCOiVVp15kMEX3Vos26Znx7HKIgJ6gXFAIXlfWYNFKdkTSDVD9Dx34Q2vhyq1HCzOJTpYNSqFC2Li+gdRQqtjg8oAm89gy0hM8AKGHhVsJLL0SGZB2RviY7inS72r1XCgopFpUiRFBNFX103TvG0CQX9CVWrT39+fzWHjUV5eziraqGyvWLGCwsPD2ffvvfdeiorqe76ZnsZeG6t08Vdc10LPrD5CaVHBpgDbfMPjLYee8sBGwI9tilO++rYAAIrESURBVPCwaA+fCeXtcwITqNJgoceTNHJbvVslmXs9WquxX7A4cLZ/EMigsoR1qe28oh6WM0Yx59lfmNLtL3fNI1cGVhDC+utXe5m3tVwLNSP8p6VsLaxl2gXDUyKcBrN6V7DdiVUxN0jxZ+vIHlHNrGluQjh7CIzFVUIOc7a4HsK73Kj9gaAQyV50auglTKXUV/muL3az0ZL7Thmqaszn/SsmseuyVAhLKbi2HKlspJTIEBqaLD9ZxgNpfl7xc9WR9ZorrpuRxfRqhiW53gZ0O0GI0JtGKJ5bc5SNs/zppFy7XRlK4GKLjjpp+Py7N71/gcBb0BztJCYm0rXXXsseGzZsYFXtlStXsiq3CLD1B16EEMdJkLRB/m5GFmuHSowMYgtzEGoOJG1btjwVYF84IZ09jORgeSNtPFbNgpJZOfFOA+y/fLWXSupamVemwBSoImMPESveWigHaZVAj9ZGOUqyS17eyAKhty+ZwKqbUsamRdPK66fpbrOlJ/jMwlychljUH6xoZBVv5fYsxlTIV+wtow+3FTMve6cBtoY2fS18tqOYiupaadGIZHYN0BRg27SI87lYZ8clbxF3GWBzKzqdfGoF6nE1UoL28QPljWw22MiEB7ajuatb13PmrDGpNCM7TpYC+pbCWnbsK7n2S3EmeiiXlXvL6D9r82npmBRFQpvQ4vjoyskWobMHTxtGHd3dNEjlNQAz4HLnwBGI6yUei87DncX1dGJuPE2VMYrjchxPh/uAxabOTrv8Yz8cpPe3FNF1MwfRVdMGaX4tgaCvoWs5cerUqexRV1cnbLsM4sbZ2ewhReqhuaOtvsciD+qvH185mX46VElP/3TY5XygL7OtqJaeXHWY2Uo4DLAl7/9wpSkZIbBm4xFgK6nuW5VPTe15WrFWCh0vDnhlwl7FHAF6UIC6xd7O4jrW/ZETH0Z3zR9CeoPtbaROU1LCRQKAqxcr8cA2OrC1eGC7UIyVVgX1sH2Dt/QbGwtoXHoUXT+r57VPysfbS2h3ST3TmFAbYE8eGMNavCfZzIPyoNhZZ8T/LRrGFqSJ4c6reMHmaxCv/tgbVYFyN74/PDlSWAkaSICL6w0XDJSr5K+WQMmYl55dSXLnxy1dFR7sOlHrx43PTnq+K6l+exMb86vpq91lTMBTU4DNx/F0SOA18TEDO0ka+JbjaK0xV7kFAkFPDOnXFZVrz2GrZIuKbVhQqEVYR4sIibcjx6aLV/aBOxSvfQnMr6fH4FiRn4ThLY16KW/z53G20OMLMD7rq2cAiUqO2tk9V1ja1/H8wX6yKgdKRK4whoHFmVFJNLke2NJjAQFkgAxfemeU1rfS5sJal4r/FsEhDY4JsDezZ3HGrynI7SAwtidEJMcrG+B9fHjFJBZQONIz+vt3B6motoVeuXAcE2MUGC2+2fucR3KIi81FGyw25w6XDVmvr+LaB5smWDxi1ttZAswomy69+XxHCVsnzR4c79aOv9YOfe6l1gq2DgG2k7GXWHOitdqsWyEQCHoiPIr6AAfKG1imPSc+3NqmaNOuy30qPdUi/vOhSnppXT6NTo2iP5yUa8hr8EUSb/uzx3UzBrEqF9r+jFaH9TXuPWWo4r/BvTwvMVy340qOmJR1P/vZFal6cW0+C4DunJerWDHV9LwDPL6IrrOoSMu/RF89fRB7qAWB491f7DbNf5+cRxMyelZxK80LqfgwFwF2gB/rIsH71aNbXa5CMT8Gua2XnkhnDHFsBmgQjkJlelCc4yl8BHYWuzDhL2sozgTnUFHmCURntnR6cMOsLHb9gZiUXny1q5RdDxEoZjk53rRUj7lnO3zdkdjTEmBbkqsKtwHOF5/vLKGE8GA6b3wa/XCggo7XNDOhQKVt/UgIPrhyP/v6m99Nc3lfw7USrdI4Pv5+hjytDFf3NV6B1vo56jHPzyvYfLROCheChOe2QCDojQiwfQgsgE95fh0LDF++YBxTzQaP/3iIeTE+vGiYJZDmF0Rk4N/6rZBe31jQ4/vupr61g/aUNhhaCeAVbN72Zw+oavKbpqtWV4FrMmJC6e1LJ+r2UbkKsLEA4usGLqYlBcf/R9uKWceG0gC7Tcbxo8vCR8YCst48C+lOn/ZfDlfSqoOV7OsXfsmnF8+PsR/0uUhMYbH+zyX6WbjwBberzgrepcOvgWooqG4mHFZo8+7h1BDgR4+fOZK1ijtKwLzwy1HyHzCAzp+QpsleC+JU/D2LJKCxoOqKJEa4HcVoBI6888SVMrwefuN68/H2YtpeVMeu0a4CbDmdQ47g55vW7rjgQHUBNjo9XttQwIJpBNjQYlh7pJoFvUoDbLiLcOSIwyEx81tBrS6JEf7Z83EUtfCOIZ4w1kJTm+k57HVF8aQTxsoEAkFvRIDtQ1Q1tjE1cPg0Sj0aLeJGnd2Sm525mtPRZQmub5uTQ4M9pEzrjhY4ewrrWlpdBe4nOSKIhiZFOPQylrZy2msRt8xwqyidOquM64EShXPbRJk7+MkcXAO0yte1tFsCRXTIoKKHd6BFKdjICrb0mqeW2z/dSUermumF88b08OWFvsAJg+3rOkg9lZEEhSaGq+mTV9bnszn7Sydn9roO8blfJAw81XHUX3AmUmXVQQjUrCPgCSx+zjKuITyZpEa/gavna7WYwkyvmvPXOho2QLObArfownPJUcbmtmRarjm9KtgaO6j0rGBDUPfkYYnMOcKWGHOBgl+vBAJBT0SA7UPAggtgQSYVlLKo0nZ2MQVdzOzFmts4eVUHnDcuzbDqnPxZN2MUjqXP7ewGhcX68doWt7T9+RrPrznCWv2g9n7dzCyPbMNZY9PYwxHS48deIMyr2qh0Q4FbifCaXgscR4xLj6akyGBZxx3OW1TWlLSIQ4UX3SpTBsXSTTZCiHK4+YRsOnVEEt3wwQ72/yOVTazjA3PdBTWmcwbbL9eSBcGmPSs1pfDFK1+Au/akVV/B5hUspYkNHDtcfE/ODDzUdzHzf/rI5F4BNrdXsicsJPBAYscNFkT7ShuopqWdBTRxLkYwjLDpwhoC5zVX4laCXP93V4SrtNC0XrdNrx9gsQnsVp2UkOOBLU36abnmOLIbUwsE0nD9kquE7oxThiexhz14izgCbD3ELAWCvoa4g/sQe0sb2L+21kRSgRIId0nFu6RZZSxUIzwVYGvIkMuFPze/wdrdDvNCAgiRs55gbYVFWYOkTU6O8uk/vjvA1I4fPn04GQ3u4fOGJLAqsD2hKWlVGwusYAVCaHJE8rQA7YGAAD+KjQ2n6mrnCva3nJjDHkqAmivGMNKi1Yn3ISk3eWAQTcuKpfVHq+mGD7azKsiZo1Po1jk59Py5Y2QvJOc/t5Z120DMy9m8sRz4TLXLCrYOLeI8KLEXJH+3r5yNukAEzTZJIn1NOYGGs5nXZh5ge2icR2ACavRfXzdVtZ+yEh794SBr53508Qi7Intq4IGqnOPombNHqQ6Q5Pq/uwLuDX88KVex5RfvCLJUsM3XfDXdctymDI4acuDrK9w7HIkfyqVNp/vPpIEx7GE0SABPHRTDroV6iFkKBH0NEWD7ELtLTRZcI5J7ZiZ5EGFvdgnzgrjo4+K/7mg1s6HxROVWT2VLR5w9Fr6fsU4DZwgMLb9uKrshaM0U9zUsFQRzFl8OCDhQ3dTDB1UOqMY8stixmIx0LhsJF6X7GEGarx4XfDZYqVBRDTzFNxWytvzzxqezFn0E2HzB9+mOEiaepmTR5q9jxwrW/dgnriqJ545Po/lDEx2OF7gCVRhnrflPrjpEZQ1tNCw5wk6AbV3ky+kS4seYvdbSRg8LUvYnth2vpX/9fIQGxYYxYT8p2I9yVOHd4cdtdDeGluqjrXOJWtAtc+44x91LjuAJEB6Y8nuAmsSIpYIts3tEeo7ic5D7d/Z4+qxR7PrjTaNr2B58rvYSB9jf/zpnjEe2SyDwBUSA7UNgcQcyYnsGkPzG1trRydpEUYGcnhVLqVEh7MYJoSQIUfz5yz10/6lD6bQRyW7fdjn+xlpBpUxOtUyLAFFfhrekKqlgyxGWU8LqQ5UskEH16KFFyivi0vZupYvV8yeks4evYtFiULiwLKprYToNPMC+aGI6jUqJpI3HauiDrUXsd6C8r2T2OkDHhBo8yfFAAOwMXO/wUAsSlPyjsxeUyKk6yw2KrXOSvZ9rcHwY/XnBEFHBdgOoWG49XudxayhXftxKQXDJj2WjNCU4LR32nUvchcW20XzN6WGHqHIGW+54BhIjeFl81loDbL0CawjbltS1MktSqT+4Gm78YAftKK6jfy4eQXN06qwQCPoLIsD2IdodzCJaqiHtXWwGE22iT5w50rLYhNo4V3r0VFUE7Z2Y2VEyUyrw/gq2XGE5uSAoLqxpYdUMe/Agy1HFBd/nHRt6iLzoyb1f76Uf9lfQPWeMpFPznAtmwS4LYnx3zMtlFWU58IWl0sQCvzbwmTrMgGIxhQf272c7Sui+r/exasZJeYmyKvxy7NaUYvSMH28Pd3SddGrp1KFsXpdfw1vtWIqhA2fpGPvCWwL3CQ+iZRsJa4xkGaHyLTfhogapgrScluOPthXRmsNVdPIwxzO3jkDXCPQltLY249oOv3skPdCJJvf5eEKRn59qE40A1oTokIqU2SLOCxh4KW+533x/oIL+/u0BZpWo1c1Bjr0r7rXYd0aNVgkEvoqIdnyInIQw6uzupjib9sTZOfGsRXdkaiS7uIJoye9IrX6MthtxxLDkSFp5w3RDX2P90SqWuR2bHk3Z8drmPvsjPPsuDTTkLuT0EgZzZWW1v6yRLn5rM5sz/uzqKXZ/56MrJ7Mg25ta7UBHZzdrCeYtlc5AxbiorlVRsCx1E1DaIg5i7djWnTo8iT7fUUJN7Z0seYcFuKxt0dCmqZajlU2sAyIhIkhVl87zvxy1zBbaE8ezHpvdmlXfuSWRHurDAvU4O2cOlDcw0UcEKkYH2NbkWLdu7+uVC8ex64cc+6xDFU0swJabzJMSHhRA4XH6LCVv/GA7s2HE7Lvc9vwFQxNpTGqU5dzDqBgU/1Ojlbf3o0tHqUvCdzfOID3495ojbHTt4kkZFpFaNfBKvh7JGlz3nV3X/vj5bvrxQAXde0oenT7S2HNEIPA1RIDtQ/x5Qc8ZMXuiFmgPAtIZwftOHUrnvvZbn5/rg/8xfHzvnp8rAmwNFWw+h+ZOYRa5lRw5iwa1Il+o4iBAQxBpxBiFEpsunuRQcr6qtaepajKNnthb1MGq6j/nj6WdxXVM8ZrPVuv5Xl3xyHcHqKS+la6dMYiJ6TniUGUjPfvzERqfHqV4/yGYmpEVy9SD5w6JV+wVjO16V4EffLh5v/IFrJSjVU1UWt9K6dEhzMNY4JnZZ9427g5NBmugr0/CBecp3ET0Smy6A1SD0ZoNezRUsRNkxvpY60jXO3JHxbyN/20+zrQc0L0SG+Yd43h8jh/t5vbg50a1OUkrEAisiJ6OPgRuznxhHi1pxc6KC2NVmb4eYOs9D9zfQGvw6NRIJuLkKWsr3ubnaCaSz/TyLL2eHCxvpLVHqqmgupkMXUTLWMTywEuJkjQqVTjvldo71di0iNsyPiOaLpmcqaiqoraabo8tx2tZda3e7EvsCK5FwQXHlPDMT0foT1/sYTZJ6IBR2vaO62puYjh7yAGq7O9fPokWDk3s9bMvdpbSTR/uYFZeAs/NPlvU613Yw+kqUGigy4YzuFCqmtdfdaCCVV9/O1ajeTvUWnXpxZbCWlqxp4zyq5rc/to8Wa113ErtqJA9LJ05DtaNUqsugUDQE1HB7gOgal1Y00w15gUorq+Yu5YCz1U1/q56gTbUP32xm3kTv3TBOENeQ+954P4G2upfvWi84gVRRkyIbirirmZ3283tufz37PH6hmNU2dTO/LyVVLP5zJ5Rs2Ry5yzRds8X/EoSYqg2q2lX5IsjPd0FxqZHsZZzPZ7TatPl/LPg889cdEkJPKHhqFLTQ+RMh4Wrs8q00nZzgXqcdX1ANBTIabHWCrQNsuPDWfeFXmuCL3eVsuvzmTLm+V0lNp3xy5Eq5jSAz1KrPRQ/5pVaRe4qqadRqZE0eWAs60aBcB3uS9Oz4hR3Ma3YW063npgjuwr+7OrDzEIVTgtIRqoBreHcg9zZvc2dyU2M9/DjwdG1iI8ViQq2QNAbEWD7EOe8+itbfD1/3tge6pCw3/rb8r09Fm/SGUJYkeDGvbOk3mOLti4yCZiwr7u77c44akXveWCBa84am8YeehEss0XcWRD8xa5SOlbdTCcNSVAWYBt8/Ej96p0hnct1R8eJ1ftVv9vBbXMG6/Zc/PNwJSAWqqGCba3UOH6NyyZnsllcex0euMb+eqyG/WxWjnMBO9nBfh/uNvIWcK5Dl8TeZ93ixhbxGdlx7KEXFY1t9NRPh1mCS1aAraFFnbcRK+2csQffD3J0KqTrH+hDYHYZAfZvBbX0xI+H2Gy20gCbdwDK9cEGu0sbWPVey5y+9HPXq4KtNRHInRHkVLC5UKZAILAiAmwfoqyhlS0ebbtjbReeOQk92xQheIbKzIUTMlgbsCeQ3jQg9hRkbknTE73ngQXuJzTIjyWPHFU+LVVmJy3iai2i2g0+fvjCx1WViC8u8TbckSy6bU4OXTolk5JV+kcbjVyfXTWLcyVqueOcVKfQWvqftfl0xshkWQH2jqI6WnukinWNLLQRjuPK4r7qx+5LIBm9+pZZdn/mzhlsveEBG289d4VFX8COgJ9saysdkvdqxjxs3yu/N6hJFij1wZauv/g1RA3Se4JeFWyss7TQTd0sSWHywrZ/HIkKtkDgGBFg+xA8gLS94fNFYWpUMN17ytBeATdmsJ8+azR5Eh708Myq1puIJyqQ/YGzXtnIxgn+d9lEZhfkbtKjQ5kKuCP4/HKgk+PH2ord7VXHD1oWJ2RG0yAXCvdIIqAygCYPJdZUJXUtdN83+9j7f+Zs+ec79rMn9rXSxaerCjZv5VWz0OVVOLUdPs3mbZRbdUZL68vrj9H8vMReAbbS4EhgDNbOCeM7CcobWqm4rpWd95kavYvV6JHw+7GaoLSRd8DoEGBzL20lSTLb98qv/2ocDCzdPEHyl8aWzhkNAnH8c8cpL10rqQH2rFdMzdRcTIkKCaT/O32409/hiXBRwRYIeiMCbB+hQzqjY3PT5AtLXJgxh+mNSKuCWjOrrm60YgZbPQiu0SYndxbvlfX5zNv57HFpdJYbvHvjwgNpWlYs5SU6FmLjAbLUC9YbKthLRqfS2ePTKTY2nKqrG50ukNRY2mH7NxXU6lJJ0soD3+yjFXvL6JYTcuj8Cemqnwf7kC+UXVUSQ82BEBIruFbKVTyXW8HeV9ZARyqbKDsujIbatIm3yJjhlsID+ab2DlVjEALjufWEHLpiSiZFh+inTeCIz3eW0Au/5NOZo1PoLwvtu4Wo0yORdw6cMSqFPdQEd7ytOlxBUOrsGonr+2gFCuiWxKh52wN4i3SHlgq2/Gsovy61aqlg63jOYyzqhlnZ5A5giTg9K5aSZFqqCQT9CRFg+wg9ZnRsFpo8w+7NnqpY7OK+hxhGaeuuXP54Ui7VtXZQjvDAVg2SE43UKVsgpbi2lfaXN1rs4YwGM3Z4yJp1VpjIgce86e99s3KodvbujY0FrFp+xsgUirHjha0G6Czg89c6B4h5ZAQJeC5XiYOIkAD697mjWZCsROIB28pbUp0F2Mt3l9I7m47TpZMzewXYFjsbmYJYvNrHq3/2K9giwDYafNZ3fLqL/fvk0lE9xhBwLuh1Phg5A+28G0feMaSlasoVv5UEpY44MVe5fgEfG+LrIstnqaaCbWl3D1AeYGtYfyVHBNMHV0xSVXU3Cl7QcZaoRMeZkm4pgaA/IQJsH0F68ba9aQabF3XlDW3Mr3ZUqj5KpHqD7e7s6DLMikSrgqlAouItcx/xZInWtjZpxfLSt7ew6sPry8arEt5Sa1Py7NmjWbDlq0jVY7u7u2W3l7+64RirQs3JTdAtoHBmf6S0TfGXW2ez48FVuyuOQVfJF3tgHXnLCdlMrdzZ8WadU+1UVQG3X8Hu/Vznjktjc9y2QbxAfyC2CZEsnqB2NedvFHqdL+7qxrHXVh2uQwVbDfw6H+Dnp6mDCdd+S7u7mgq2hgAb+x+jfHqA9328toUljHPi5dkGOlKHR/IJArkvGuT8IhD0ZUSA7SPwdidkE22DmcSIIKbyiMXa4comrw2wYR0W2N5FBhWwBToQpDA4beO2WTot5HB8HyhvtCxY1HSeWQNN5QeaEer2nJV7y+ixHw/RzNwEevDUoU4Fs1745ShTpFaixt1DSLCrW1YlHlUKNcq57q7IGaHZwMH1FD7fcrfBXhAkpwIuhf8er3xLmZfX2xtbYHxnlW1A9uHWIiqtb6WThydRro1wqLf7YCud4z9Y0UivrT/GWn6VOgC8dtE4dg1JVeDY4ExHAsEh5ochAKgsmTBAUwcTcqv/WDyCtYlDGFYu0IbAS3tL8bm8sY3Oee03Fviv+b19AT858GuTv4x7O+4jfgo1QwSCvo4IsH0EXLeGO6hohAcF0EdXTmIX1mFJ3lv1WH7dNEOff8WeMvbvrMFxHsum+zrWxYm8hV6HOVuiV1s1btC8JdjeNvx3YwG9uv4YnTEqme6cl2v3Of50Ui7demIXxevkza0XCHrhF+qqnR6CR7C0U9oUIN0HWHTKifWkgmDhOp4z1nZ19646v9xVwj7j00Yk677/nfmYK61g87Eeo7p5BMqqh6bOqp7H6td7ymh7UR2NSIk0PMDWy7tYqnj/r7NHyxbtwzVp5b5yyooLVRxgy/WLlgO8u6HGv3RMCv15gbxZ9JtPyKZLJmUwEUmAxOTjZ46k6JAAxcmWeUMSFG/zdTOz6HqNM8+FNc30xc4SSooMprM12l5K7SCVdDLZwrtrwl1c0077z3rWPQlxUql9rEDQ3xFRiI+QGBFMb1w8weHPEyKC2aM/89DK/azN77Orp4gAWyVKFbiNEGRCpbCts9OuSA0CGdz4+XyYPdQqYv/z+4NU1dRG187Ikl09McQH21wNVdquKt0HpgqWv2xRHwTEelaJLVYxGttVUM1/49cCGpEcSdfMGOTy919am09Fda00Lj1adoBd39JBR6qaKC4skNk2qRk9uGv+EKpuapOtAO2srXRXcR2rqCKoU6tqLpAP9itOA9v96k5XCmfJGzWgAjw1S36CiR+PaoTB9ESNTRdrrY7r+d5PGKzNi97dXU8FNc306oYCyksM1x5gmzOzuEPiOqLWEZX7YLsSbhxgcy8RCAQmRIAt6DMImy7tDE4IY5l8jBx4ynvctNjstLvYNHK2cN3RKiqoaaELNKhe69EGyquhrmypbMF+g8gW/pUrltOgowKwvUWe1gU7KjtrDlfJfj/BKirDO0vq6JaPdtKQxHB659KJMmawez83KjdKqjdop339onF2kyh3f7mHWTbh5yO9dNynL8GvN7bVY3fOMaudG9YLtdaG+0obaPmeUhqbHq2q+msLFwlU42WvlYrGNtpcUMPa5CdkuFfPxTJqpUOS0zbRGuDnr6lF3JW4ZDh0KxraLGJ3AoHAhAiwBW7jH98doGPVzUxQaFhypK7PjYomXxsIexv13HfqMEW/HxUcwCqFcltjtVZT5Kjj/nyoknYU1zHLuqmD5IteGZEsUFXB5v67Kj7T1bcom7lrNFcd9Lb2QiV4Yma0Zk9fngCQ60urRkm9ttn0Gbiau3Q2g63mGHcUPBt9HAp6wjVNbN0t3JmwHRwfTtdOH8QslvTgQHkD7Siup0GxOA9jdBe35Gw9XsuU9Y/XtOgUYJsdURRUsKHuX9fSQXNy41n3EjpSVh+qZGN1GBVRkiz4y1d7aWhSBL11ieNuQVs2F9bQu5uOU05COF0/M4u02appP+elc/c4htXem3mLuKu/59dme44IAkF/RgTYPsLWwlq695t9rG0Q80W+yM7ieuYlC69lvZG29/mqzZIv8sjiEbo/pzORGjniPeuPVtP7W4vY7JmSANtoeyRL8NdhTAVbDVYPW30D7EUjk9lDK0p9adW0uvKZ+BgXM5sTMqLp/lOHUnJk71GcdzYVsn9PH5nMlM+1IGy63AuOGZybtmMn7twPWfFhskYg5IJr4DOrj9BpI5LkBdhOujOccbSqif2r10iNtUVcfrD25q+FTKQN24AAu7Kpje77Zh9FBgcoCrDVeGCDioY2WnWwkgX5atHzWJPaamnRwOD7wNWYSrj58+IWZwKBwIQIsH0EXLyKalsUC3d4E9YZRv2Fj6QtpMI/1rdBAINWSXsiX/zYcdZKF8CPM4WLRf7c/O/1Rq6yNq/e6NkV4IgxaVHMDk0nlzXd4YteLJblwI8LJYFCjTnAdlXBRlXe0Yz2cz8fYYvZuUMSZAXYEB9667dC1q1w8aSMHvuaJwcC1Q5PChQBcSZ7QlDcRznQbP/kSyhtb7dUsBUKY1Wbzx1oxHhKTd02OFVr01hlfi+xocrEEflYihabLv63erSIY9/hM8AxoGXkIDsujGZkx7IuCGeEeMn8vkDgbfhutNbP4JlIXqHxRbTYJ7lCekPWy5O5P/LYDwdZNv6a6QNpyehUj2zDv88d43I/O9vHlkBWoW+K0RUreCwPT4mggTK8SXGeh5jnEZXwwDf7qKyhlSmsy/FVxTaNTNF3XENPrFUluS3iytu4a82VJyXWPFKwsOTXZ7mdAFgEIyjHny0ZldIjwLa0JvtgYOeLOAom3ZnowMxxYU0L+zo3UbtiufUYkrftwebzpluBxZ/03InSKfGv5vy1beXn543iALuxjf0bH67sOsADTC0BtlJbNVdcMD6d7Ustvu7nT0hnD1eotUUTCPo6IsD2EfjN3pers4EOZt30QOqFKbwY1VPf2sG8X+W2u/3hs13MFunuBUNosMFWNgBCUmPTopwqhautYBg9c4nP553LJlFsbDhVV5u8vu1x65wc9kAlSSlbjteyhborKzCjgef3o98fZO2pWsYIGsxzfbJbxHmrq6IZbHMF20WQgEr3tuN1FBwwgKZlWWWLpV7W4QrE4lD5wpyjdGEu1ZLw5Wt9X+DlC8axfZMebbz1EFqtL3lrCyVFBNFXOthZ8mBHbkUU59ePN81gwZKSBHWd+dzRK8DG9f2m2dlM0V8ulk4D8/nCzxt8BDifpC3Tzqi0BNhKK9g8wO70igo2uOXEHHIXUD7HugEWYwKBwIoIsH0twO4LFWyzYqae4Ab/8KJhpLBoKdBYQdhdUk9lDW1u8/O9evog9tC7U8IbRfLUJIp49Uau6vavx6ppb2kDjU6NYt65eoGXR3ULCy8ttJgXrXIr2FdPH0jnjk9j7Y2K/V5dVJ+PVDbRnZ/tYkHAR1daA2w+e8gV3JUszFmALTlOe2hJiBZxt/DCL0dpf1kDXTI5k8ZLzgHMRbvTi1vP8SlujxcgswsC1xq555gUfn7rNbqWGhVCl03JVPQ3lk4Dc2JUOuKD88lfpoo2ZrdBfJjCADtQewUbehWTBsbIHoVxB3JHBS6fOpAun+qWTRIIfArvOZsFTuGLMN9uETeugo0Wy4XDknR/3v6GUj9WI6xsnl19hAV+l0/JpHl5iW5pM0RctPbWWexvuFWML6JURfvnQ1X07ubjbFGrZ4DNWx21joM8fdZotoCWm2tQ405w6vAkGp4cQcOSIlW9J6tQnLLbqT0vbHjqooKH/cdnOwXGsqOojjYeq6EFw3Ct0e8c8KQPtrXjzdj2dt7pFKlR2E8LPJnIP0Np54ecRCPGUJAogIDs2iPVGirY6vcdvLvx0AtU47E96ARQ2yZ+wX83UUldKz1z9ihmwyYQCJQhAmwfoU+0iPubKjwesvoUyEBpe7We9iKcotpm2lPawHxJ1WANhLoVC8MYqStW3dRGl7+zlc3GLf+d4zbQJ1cdYnZ2V0wdyETIjEwucO9SvVXEA3ScyzO6a0duYo5/trYLabXqw/ZaS/FelVbwBNqwd84gMHt1fT772bKJGYYfgxYfbJ1asOSIQdrT30DADBvNBJmiZfCNr2tppxSd2oNxbh2qaGTVU7ke8La6HNIKtquEBcY+Ln1rMwtIP7xyMrMcG5wQ5vYAW2+ue28b5Vc303/OH6Pa0xuJQ3TYeEtHl0Dga4gA20fAAhhqjnqpdXoCtHAbNR9d09ROmwprWIvVFAXWTAJtdi18Qajn3LIzJehbP95Je8sa6G8n59HMbGubrpST8hJZYBqjUrTKKHDswwkA2FoCSdlSWMsSDGeNSTU8QcI/Y707Y/SqYCtlV3EdswLEvLveVRdHPthqK9hqFM8F+mPvnEFC+6V1x9jXF8oQetK+DepUvB1x3vg0mpUTJ0vokLNybzlTBb90SqbsABu+3Xp5d4Oy+la67O0tbL2z6uaZsv7m6bNGsXMy1lwBRhcI1hr4TMNdnJM/HKig4rpWy3X382umKF5joa19ze9naeoWWHukio0pYERBj+uWo2uVKpsuF1nn1zcco9c3FtDiUSl0+9zBql9PIOhriADbRzhzTCp7+DJGio8dqWqiu77YY56PnGzY6/R1rFZSrm/MWAha59/0C9CsqqS9Aw8sAFFt6HISoKLFT2mbHyoZqOCgne6vC/PICKRVfry3QAfnA6yb1Np0Ka1gG9Hi33M7tAWPf/x8N2vZv2PuYFn2V1gwv/FrIV00MV32QvVgeSNhVBViVs4SDY7aeMelR9FL549VbO9mUR8227JxNenDlU1MQT5Hhtq8QDv2zhnpPnZHBY8HZ93m5JtWq8C8pAj2UBeUdfnMiAuYPDBWdVdKeb0puAbQolDim81BQA/hQy2sOlhBn2wvoetmDNIlwObVfLX7Evd2njgMddHdhFsxr3YLBAIrIsAW9AmMaFXuj8RHBFF2fJgsqxKsR/mSVK4djBIlaHvtxUZZaaHNd8XechbMGRdg9xTfCXQwY9tqXqiosenCAhUv46xCbv+80Tf5pWYO3hYkb348UMG+vnNurqy/sQTBCqrCt3y8g8ob2uitiyfQ0OQIWVV5aZURgb+a+fU/npTLqtfSKmNhbQur4KH74tsbpit+ToE+3RbcPxiXNSXCdWqRBvFQxfbE+D1PLsk9d5DofG/LcdY1BoE4va8belTy5QqbAaWt4XrSpnMnkZJEuT3wd/we4mp8SK1rh0DQ1xEBtsBtLN9dSj/sr6ATcuNZO5GedEhsugTqQVuy3NZkLEKhHoubsZ4zikFOFnpyvGkxv/z9/nKmBrt4dIqymUUDEzTShTreR5iDVTSvYKsRp3ly6ShWUVF+3uj7vjGPPCIlktkOaW1RlFNF0dIaaWmTd5HQ4J8R1p16VBntCbIZbRUnkKfgzZN77po/xXXnkkkZbL8rOX8dseFoNVU1t9HYtGjZLdxKx4OgkfHahgJKCA/SMcC2vnc55xg6Pr7cVcr+DmsKHpD/criKJU2nZcU69bevbDTZjKHjRU31mnP/N/uYXR/sKtWMJul9vGkNeqXVaFf3ITVJTYGgPyACbB/h+V+O0k8HK9g82JLRvtkqjtbHnw5V6jqz1VvoRFSw3QVuvN/dOEP353UWYFs8T53s5/yqJvr3mqMswJMfYJuPHwMX1Fj8oVqGxRR/H84CS95CrASli3N+3ugdSKC9+b/Lxmt6Dr7QR2JCrjevJUhQsLDEIl3O5x0W5E9/OinX9BqSzxkq1LtK6mlIYjjz/daCESMXAufYa/13d6IDx7ie3sWv/1pAvx2roYdOGyb7fsvdE6S+7s6wdhMNMGiMxnUlH0H0I98fZJ0G0nXRI98fYLPVry8b7zTAno4APCSA6XZoOeeQ0G1u76KbT8hWF2DrbMOqtYOIHwOoqLu69lru1zpZzAkEfQWfCLAfeughamvrqSh86qmn0vTp/aeFrrSuhQ5VNFlsMXwR3kZsRCuR5WYvvGN9noggf4oNDbS72JDTIm5tj5N/nBmxWHS0bW2dnQ6z/WiLbDHP5Kq1V1ECZptrW9q9ct6XB9hKEg3OkjP2QJWMLwxDXKzmsWg9Z1xar++vO1rFBLHOHpuqKMBef7SKXdMhbIRkUM9OClHBdhe3zclh4kzSj9wdHS1G0qEiQcA1DupketcbkZyTJjhN12Tn56Ql4WqzDZYA08V1wN75rAZY6iHA5t1HStF7VMeZjokcsFRD9d9fRsJWb4s5gaCv4PUBdllZGb355pt0xx13UGSktaUuLs6+gnBfpbXDt2/4eilbuhRrEhVsTaAa9+DK/ZQaFcw8iD0B2g0dtRzy/eysdZD/TFmA7Z6W0JyEcGrr6nZYaUZQifME/6rx4/54ezGtO1JFC4YmyhL6USqE5E7UKJxb5/eVqairnXk3vZa6a/PXe8po+e4yZotkCbC7RAXb3dg75/l+kNs5oQfFdS3seEyLCtFcyVTTchwVYloOyk3it5vXJLoG2H5okTeNYci5fls7PgbYF/ky70ej0WrVpbeGDCrziRFBilTkpaREhdCzZ482JKkpEPQXvD7APnDgAAUHB9PVV19Nfv04eLJcgA324zQSI296YnZRH7q6u+lIZZOlAuKMkroWuu+bfazy8ejiEeQO0IZb29zO2nVdZ9TlJ3Ks1RhjF9T/vWQCxcaGU3V1I3XYWZCgag3LF7QtqxG8OVDWQKsOVlJugmcr0vD8hlgXbNy+unaqKrEi7g+t5HNQan3VYuNB7YrNhTWsUjUhI9qi8m699vhpV6/uA4nUvgACk9cvGtdjFMBoLntrC3NJePeyiZrPXzVikLfPGcw6WiKCAzx6zbx62iCm6i+ng8fRyJDcewDmyFE1xnvWMvuuVCDOFr3Pe70q83KAIOrYtCiP33MEAm/DJwLsrKysfh1c95jR8eGFl1UMQ/8KNlR8/7YwjxIj1YsqCUxzpoBbdDgDv7OpoNatftP/PneMy9/hCz45SQIls93uRG17uCVok6ki/uWuEtaSPndIgmJrM2dgscr9ZbHGVTO5wdstlQTYsMz65+IRst8Lb8fHa8hZYP/xs91U29JB718+iant97w2D9Bt9le0iLuPnw9V0jd7ytg95FxzYILkycjUKDduhb5qzFZNCfnHZEyYsuu4UY4O18wYpHgbbIN8ufeA0/+znl2fll83VbH/tf0Ktjqrqj8vGMJGdQZ74aiOKyZkxNDLF47z9GYIBF6H1wfY+/fvp7S0NPrggw/o0KFDlJ6eTkuWLKGoKPfe/DxNX6hgW256BlSwUXFQ2w4lsMKrcnKEbowKBjDTCnXa4ckRdNucwRrmz+QncqYOjKHvbphusR3zVZT6T//nl3wqqW+l4SmRugbY0usUtiXAT3nCAFXin2+ZyargSlob8ZBLWKA/XTltIIbfVc82WuZ1FV6b7QVUuIZhe1Ii1S/2BcrIr26mlfvKWTDKA2xPoGerrdqxBTWvEejBNYmj0R459wBcV/iPtX5OFk97lfsuN1HfwBodUBDLxDEVHqR8mf/1nlJ65LuDNDM7jh4+fbiu2yYQ9Bd8ooK9d+9eVsVOSEigL774gl588UV69913KSMjQ9VzBnhBkOpvvqDzf13BF2Gwq/GG7VdDiLk6ynw+ffQ9eGLfu5MocxUD1cMBfgOcesB2SRYzeu7P+tZO2lJYyxY9ap6XH2eoXsj9e/xeiMzWSC388bNddLCiif52Sh6NT+/tnfxrfjW99WshjUmPoqumy6/kcLjVVGe3vHOMB6/4zPTchyGSw6Z7gPprbqDBQm8JUcF0swL1Zh4E4djn76nDHJwHBzr/DG3Pe/y+pcJv/rthqZHsIXAf/JzBucD3A5wIVh2oYMmak4e71jLQ45pvsYHTYY3CK7dKzut9pfX00bZiSooIpqtlVJFPGBJP71w20aQ0reO1o6C6mdlEDYwJdWnP12VOiQbZbIP1PHV8HWyXJJHDggM0vQfecWS7tvHUvf7fqw7Ru5uO01XTB9JNJyhXp8f7QIdai4J7qMB31nkC9+D1AfayZcsoJyeHxowxtYZefvnldM4559Cjjz5KzzzzjOLn8/MbwGYgvYWoqFBZv5ccE0rlje2UHB/uVduvhGUzc+jCGTmscqNmJtMZh8sb6FhVE2XGhdHgRO8VblKz791JaIS1+hccHkyRZmVZewRXt1gWcXoek7HRps+le0DPc7WxtYPmP/ETW4h+e/sJTLnV0Xt4/7rpbOHnbedKWWM7HalopE4/+59Z2b4KWn2okoKDA1Rte7S5zdEvQN4+4a3kCbH6Xlegho5THLEn9kdspP7WfPaobmyj1QfK2TFymgF2hjx5ExwaZP28zGMF+OzlfIb8vI8KN+2rAV54nPYnYiLN12E/635YX1hHT606TJOzYumCGdluueaHmiuNQdJjSyUPnzWGGlrbaeSgeIqW2frdWt5EH2wporzkCPrDIteaGrFENMgAx9AlL21k9/KPrp9BE5OddypODAqkly+dxJIk0s/shnlD6LyGVpo0KI5iYx10tjVanWmSEiI0WTS+cuUUpriNDjCsMZXe699an88cDc4Ym0ZxOnQSRZqvLf6B6u4jgcGmYyYiNNDl3+8vradlL29go2Lf3n6iyi3uu3jjOk/gHrw+wD7zzDN7/D8gIIDmzp1Ln376qarn6+rqprq6JvI0yGrhxKura6ZOGe2cmCvkQCBJ0JN31h6hl9cdowsmptOf5g/x6o9H6b53JwiM0LmKqlpRWT0lOWlVraoxnUf4fT2PydZm08KnubW9x/NCOKu41hTUN9Q1U5OTJM2QGNN2y92uTQU19PWuUhqWEmmoQIy/ueJSW99id9tKqkzfC/MfoOoz7WgzKQDXN7XJ+vs288xgcyO2R9+kFzoQ0DJZXtlIgSpmEzfmV9PnO0podFoUnT8hXdbf7Cquo9//bytrsZ6e4XqMCD66FQ1tFBHsTwkyZjD5LHllTRNVV5uSBpdOSqdThiZQTkKY08/c9rzvbDfvq0brvqpqaqOapnbm3atny77AMe2tputNY4v1elNd18z+HdDdrcu1Tc413898baiqbdb8mpNSTUnmrtY2qja/P1ckBpsCzMPljVRWUe8xL3Y+cVRV00jVUc7PAfzqRPN7lX5moxPDiPAgx/uvrL7V8nr15v2tBVzh2lTe6//5zV6m7TAyMYwG6CAW1mW+ttQ1tqo6lnB/At2dXS7/Hu+tvL6V2js6xdrUR9Z5AvVgn8rtSvDqALuhoYFVqi+55BIaMsQaNNXX12uawban3uspcOJ50/b4Kq1msaKAAQN85vP01n2fFR/GZtta2zudbl+LucUuwM9P1/fBF1gIzqTP29xqej20rXd1dlvaA/Vgf2kDa4+c19ROZ45KIaOV9FvaO+x+ZlXmqkpUcICqz5T7lra1yzu2+IyiX7f+10W811bzcaLmuQ+WNdBXu0rZcXj2mFRl71/mubXucBX98fPdTAVXjlAPF8FrlrynnLgw9gByXpOf9ycNSaBhiREsicX/7uMtRfTcmqO0aGQy3XfKUJfPJdCOPwvTTLPPfD9Yr2363k+cXfMDzdeGNhfXXaNICA2k8CB/1hp8qLzRpSr0tuO1tLmwloYmRdCM7Dj9r5EqrxtyaTL7faOd3OjP29F+N3X6DLAIOgbpdLz5KbwP2MKPf1xPXf097yOzvV8LvHudJzAerw6wIyIiaMOGDdTU1ESPPfYY+15JSQmbw77qqqs8vXkChRysaKT/biyghPAg+r2CuUdvslnqD/zvskmyLb0gcBas82fOgxhbJWyLR7ALb1rMUn64tYjpFlwwIV1WJcZdNm9cTMeRFzyqGFJPWqWcPTaVlo5JleXfi/2HtkSj3jcW6BDaUWslLFX4Vvr5KrXpkuuBHaSj0nNGTCh7SOHHvFARdx/2xOaMUsh2xry8RBqWHEkZ5hEZtSBo+35/BXtf07PiZIvvIdAbnBBO24vqZAXYvx6rof+szaelY1J0DbCViFQW1jSz7U2ODKaJmTGW7x8sb6TjtS00KC7UofipRZxQh30MFfoN+dV0wuB45sggB2z3bZ/spJtmZ1uuV1wsTSv2HAqUYL0Oud4eNbaYAkF/wKsDbPDPf/6TbrjhBjr33HMpMzOTfvnlF5oyZQqbxe5P/O79bSzDDkXHVAUqud4E/ItxI8qOC9M9wOZiTZ5qa+uPnJibQL/cOlv353VksdLOvUJdLUK6u+nxHw+xL5eMTpEZYLvn+LEoBTtY+OAcAWgRVoOS7ZcG+Ua8b63WLXzR6WjW3h48MJW7sORBfIjM1zhvfDqdlJdIQyQ6Dz8eqKD6lg6aMihGkYK5PTwR2PV3+Oyt9HzgX6M7x10gGagHSJrd/eUe9vX3N05XpG4/OCHMFGBXNspPSur8GQUpsFmEGOYDK/bTjOzYHgH2e1uO06c7Suh3MwfRVdPsC7aFBvrRGSOTVVsiStlZXEdf7iqlxIgg2QH23V/sprqWDvq/bw9YvqfkWmek5ZuShDM/vnDc4eFMGFUg6E94fYANcbMVK1bQb7/9RpWVlXTFFVfQ6NGjqb+xq7ietRHxipMvwqtqvBKpJ9zaxFV1U+D94IaNqqVt0GftUnC+oMMNHkdBt5NKsacq2BYbLQcV1trmDk0BthLwOT191ij2GemxyNQbNT7Y/HfxnlChd+VtrfQ15g9N7PW91zYcoz2lDfTU0lGKAmxU3zYeq6H4sCA6MTeefa/NnEQSiUL3MT0rln64cUaPc99qi+l79xNpJVFpoob7MKMCLPd19D5WAxRURB0F+XKqqjhX79FpDIMHxkpsuuxtmZJrnTy7RnXrRXQEjEmLonSbDht7SI8x7A9/FZaMAkFfxOsDbBAeHk4nnti/1Qn5jUSvC7Cv+3w6bGny4c/HW7j7iz10pKqR/rowj0alut9vfnhyJK35/SyH+9hVEgWtjlgsY3ElN4OvpCVOCxiPGBgX5tB+hrcsR6tsEd9dUk//23ycMmJC6NoZWS4TXnq2dupNq/mzUNQi3sN/u5uCXQRI8ItV0iKu53gK9tXfvz1AEzOjLQG2Ud7yAufBiG2QaOmIcmMFG4J7mH/GHHSEBstA6TVPqTI292OuamqX/Tp6JyGUjGE46jyCp7ncKrgeqPHB/r9Fw+ma97b1eN96VX+z4kLptBFJNDJFneXf2WPT2EMO0msVroXemKwVCDyBTwTY/R3c7Hki0pcrG3yxwhcvesJvxu5s6eurFNQ006GKJta+5oyfDlawNrxJmTG0bJI6T3olICDMiQ9jQaorcJ60dXbKr2B3uOf4ufOkXHr4nHCmtmpP+OSdSyeyoE/ODLU9yhta6es9ZTQ6NdJlgG00EA87UN5A95w8lMZn9Pb8lt8irqCCLbk+IpHn6m95BVtuizg8essbW9mYDh/VUTvLaZk1NVete+gM+PB1vi9w6vAkGpUaSXFh7lNyf+yHg/TV7jK65YRsumRypuZ7IS4hSq8jo1OjaOX10yhWxvs2aqzmpCGJlJsQwebBXW6DAw0JORVsBN+tnV3smqHFogvw6wy/nsjB1o5Lr/ZwMHlgLHu4AyQFIHSHfeDDDZYCge6IANsHkGZyfbmCzbPKaoU3nLF4VAqNS4+m8TKseQT6VBCOVTfTmsNVqgW5lIKb+HuXyxNgMy36OmUfa44Wap5ASwVAiUAQKmbf7SunsCB/WjgsifSmtL6VCmta2OuoQU2AjcXe/acOZX8j5++UVrDRDv7FrlK6YVYWXTF1YM/xFIXXZovWgGRkhu83MYPtPkrqWujl9ccoLNCfbp872NI+rHWeXo9ZcDVYr2XK1wroAAkKkJdUsLTR6xxgLx6dolmzQM4M8i9HqujOz3azZOSrF40nLfBrDXczkUOcxJ/8yaUj3dotoSfoGHvrkgme3gyBwOsQAbYPIG2p9uXKhisFZS2g1XVGtu5P2y+RG6QZ1UZZ19JO9yzfx/QGnj1ntEahHHnH2nUzBtGyiekU6uPtbUrEbcob2ujhbw+wdnQjAmytitt/XjCEbpuTo2jsA4u900Yky/798enRrOoyNj1a9ZiLpUVcYbXQep5Zn2v6oFhm0TZCZWunQDkNrZ302Y4SFvDwANsTaFV+5lgSPgYnC92lWyFnG3jyvvcMcpfLBJ4eY2X8OfhYiyuQdPz9xzvZ11MGxrDOAT11N6A/geMA1zYkUJXyj+8O0E8HK9l98UyZFokCgaAnIsD2Ado0tHx5E47UoQXemgjp8shCDosCVBeAWlVSq1COvGMNM49a5h7lAvswtNXPGxJPl07K7FXxxcIGAjN3zR9i6L6T/o7W9kijKnKo5Bs9zzdnSAJ7yMVe66naFnF7CceThyexh8B98OuX9Frx27EaOlLVxNrEoQnhzu3QrYKtMvG5+lAlu05B5Orq6fYVuAFGUDCnmxatb6UfTgr1rR0UERRAMZIqrz0cnXtyRL70bHG3VLBltohj1h5q7bi3/euc0SwxqCfrjlbTrR/vpOHJEfTGxcqryzXN7VTR2CastwQCDYgA2wdAkIHsuitFXG8nPjyIvrthuiFVeAgG4eaGGV13KDD3iwWni8WCllZEOa9vq0r6y+EqeuqnQzQ2LZr+enKe0+e495Q8dt5kx9v3QPUUlY1ttKuojoYl9Z4vrGhoZS33KZHBbglqjRbUUmqZpRfrj1ZRfWsnqwzpfS2wVxmzVPIUij3p6aktUI+9YOybvWWsqg2bJ/cF2PKTY85IDA+iv52cpzoZX9PUzgI0V1opA2ND2UNvnv/lKH20rZiumT7QpY7EwmGY1w6nTJvtwLn/p5NymQ+2IzB/bavboBZYc00ZFMvGDOTQbB5NgVUY/LrhoZ0SGUIzc/QRneTdNKp9sC2JC3nH0HXvbWOuCI+fOZJ5uQsEAhFg+wSYBVtx/XTydZAgMCr4ReUPVjmYZZqVY1LkFWj1au6W2SKotw9qTyXoEPMhU9vSTkermtlCxBUTMqyeqHL4bEcxHa5sYh7HqNwYXqWSCFtxasyiclrOESVBrVE2OxxeQeOJGKW8uv4YE207Z1yaLMEjzt+/O0hFtS302kXjXH6WqNJ0dXWz35Mzs23v8/2/04ez5B7strTaEeH9IjEUExoo1HjdhL1EB++ycudcLA+KtAbYOJahSaKWwWYl8UMVrq26jECOQBkHfvRST3pOXlIEe8gRttTj+ofRIiXjRVz7AQE5igP/+O4gTcqM1i/A1tg9JNcSU3odLWtooybz+xIIBES+O9ArEHjYVqWvgsV9UkSQy+y1tcVO3wqotPIi9UznFXXbeTs9WH2oit7ZdNzwRaWlLdiOFzxaI7VYdClV6jd6htKV57crvttfTh9uK2ZBpxL4cSunXfOe5Xtp0Ysb6McDFapnsGcPjmf+2Erb2dOjQ+jRxSPofokX71++3ENnvLTRMiIhMB6e6MApw88by7XNjaKi/NgyQqNECegCG2C26vrXz0eYJoY9VuwpY5aAqFx6SkdCCzyIdGXlZwQ8EEVQ+pev9pq3Q79xGK3dMR0K7w3BBlqwCgS+imgRF7gV+L7ixnb7nMEUqaP6tFXJ17fb6L0BzP/KmQF2pOCqFcyjIcjGYrenmJT8Wdc1hyvZTPOUgbG92gc9Kdhjqc7YWYjU6lDBzogNpW+vny7rPFA7OyyXxIggyowJcej5LV9F3N8wsag2hUJHeglRAcz8o7XUnV0Fgt5Ij38EFgF+/qqF67SAiuuS0SlMeE8LVU1ttKekgaJDA2hUqvJuHFRiU6OCqaiulf67sYAGxYbSGXYq4u9sPs6qr7Cry4jRr1WcH/tyBCp3FNVReWMb5SWG99iG6qY2OljRyCrEIx18BkqrtK6U6N/6rZBdq24+wbXaarMdtXG0i3uL/oXS65AS9wqBoL8g7uI+wL7SBrrmf1vpwRX7yNf5YlcJfbmrlBrb1Fn3GCXsIlDOXxbm0brbZtOlU9R7trpa9EorsdzOSE4Q/PZvhaztDgtAORiVLFDSuqdHBRuJCQgDhQe5fg6jWvw5UGT++KopqttV1dh0Ka2mWKpYMj+DcelRzKKLq67jNZbvLqVv95VTd3d3n1Bm7m9IP2t+PPDrjjvt0mZmx9FfF+bRopHyVfDtsbO4nm79ZCc99sMh1c8xPdvUqowAFYErFKUdXjN1TmrbE51zBCrof/p8N/18uGfHx5bjdXTDBzvoyVWHHf5tVlwYzc9LpOE6KPbXtXTQe1uK6MtdJbJ+v7mtdyu1ngUHrV0ASu+HwUJPQiDohahg+wDVzW209XgdU570dXDBbu/s1L0Nzl0BkqAnRqnaY4Hg3zmgx3FiVS33k5/Bt9OKbQ/+OkYpastZPHK/aD0XWs4YmRpJj5wxnMLdoJ7uzgBbroaA6XeUBQmohkkrYnWtHXTv1/tYS+3822crvmZ9v7+C/YugChoVRncVCOxfw766dio7N7mTgCP7J19AD/HCW0/MYcKq0H+59r1tTO16zS0ze1wfjbrnWsdoFJy/tjZdfJ7dyXNAbwMPPVCqIg4bLVSspZXsKC424gWWqBCvQ5IpIlhe9xC/J8t9/wJBf8A7V1aCHrSaBZGULjS9OSCTG/jIxRog+d6CyNv4ZHsxfbGzlE7KS6BlkzI8sg0rb5jeSzVfSfChdIHhaKGmN+FB/pQQEUyRdoLaFvPiRIsXN5IQj/94iC1+0ebvrPU5MSKY5um0wDQCLgSk9LpnaVfsUNAirjJIsFbx/BRb7eCY+9ty0/zlAvMMt55tqwJ5YL8l2Sj3KxlH0Qu0p2M2dwAN0JRk0yNZiGMRCt4IBB/9/iALnErqW3u0YRs1zmBJjso4fx1pryixK/REgI0OGDygtQA7La2dS/buMxg/CVG5Znxo0XCV+gEiwBYIOCLA9gGMbuV0J1bhI1HB9lbK6ltpR3EdDbVjJSXltQ3H6GB5I1N5Hp+hbW7QFnuWdGFBptlAV96oalrk3CWSNzcvkc6amkXV1Y3UYbMY+8uCIfTHebmaX+Pj7cWWFm25s8VG8P4WeH4X08nDkugyhWMEaLfmi1Wli0Te7s1tePSskqPLAKJOuI5B2dwivKeik0N6rHG1fNEi7h3cckI2E/mCj7C7+G5/BUu4TB4YQ/8+d4zq57EmC/10uQ7D5/pIZRM77qUBtlE2f5inPm9cGg2T8dk70l4JkHH9R0LDz2+ALvanIWadCNxH4AKAir8c4iX3sigdA+zYsCAmoOgu0qJCmCVmmIzRJIGgvyDOBh/AXdU1d2BRt9S5gn3tjEFssQwFbIF71Gx/O1ZDG4/VMBVld4BqutyKulKbEm8QyUMlTes8o715UkccrWqi/WUNTM3akRCQVrGlA+WNNC5dmQo43298zykVOTt3XBqdkBsvy27NUqmUGWBvLqylOz7dRSNTIun1ZeM1tXT38Hs3Xw+tyvy+n0z1JeC9DA2EK6cOZNVsNeJgWuHHA1dwVoveSZp0c4BdXNfzPFYysqOEiZkx7KFFe0WO6NaDK/fT8t1lrB1ea6dWsESgDOsQJIPlBsKcSQOVWUt6E384SXtiWCDoa4gA2wfQ2sboTVi9X/UNsC+a6JlW5r5IoMx9ZGS17emfDlNBdTNdM2MQDXXhZ6qHp+y/zhnN5uFSonq2ivoaUgV2V8mFtUeqmAjQKcOT6EEDAgolYkX2/vbr66aytvlwmXOAnKlZsbJ/d9GIZFaVjpY5/2jrg80DYzXnAPYV/g77iV/jzxiVzASTRKLQvXyxs4TKG9po6ejUXu3i7kIvJWa9kzSx5qR1jVmE0fZ1PLkucdTdFyQjWdFm7qLTQ0dE2gHT2tHpMsB+f8txWnO4iomsDUuKoLjwQIqXBNt6gC4g7CJ8FErHVy5+czM1t3fSU0tHyXLhEAgEvREBtg+gtMrizVhbd4Wdg7ci10PTUj0wYIG1qaCG9pQ20NIxqTTUJNhsqKcsxHzcwcHyBnr0vW0UGeRPj5zRs4UPnrNoz0c1RU1SQXqOmQJs5/vPUoEySKjOogSvIsDGghCz6kZz65wcRb9v64Ot1ObLlejjzSco2x6BPlg6XswJE6jCY99C2VvOSIo3+T/r3brNq6zVTT0D7CeWjmQJMNjx6Qk+d4gHYuvjw4NkJhNsW8RdJyusAof6tNLzZJmcOWx09qw7Wk1j06PozUsmkN6gTX36kz+zLqBvb5iuOGGHcYC+IKorEHgSEWD7CFCcVCtY4U3865wx7Map57wRgom9pfWsTWxIUrguM1X9GbmVFGuLoP6fd4C55U+62EQb57ojVXThxHQ6dbhzKxsE5tOz4igrzruy71h8/Xq0mpLtVMl+OVzFvFtRVdUCgjZU410lF4xMkHjSGzW/CvOiLawbAXPSemIrnqS1WsirZ3p39AiUEWizH9BBU1rfSv9dNt5tAbZW5WfOlIGx9Id5fkwJWg9ize+/2qaCLbeNWynrjlbRnZ/tptGpkfTqReOd/u410wexURTb8zwhPIjN0UPsyx2z6uD9yyex64CrpABAdViroKUzMAOOQxqHkpqEjdLutDd/LaDPd5YwS8ZLJutv2ykQ+CIiwPYBzhufxh59Adz49KaxtYOueGcr+3r9bbOJRfAC1QTJbRE30CuWzyJLt6GwuplVtWuaXXuoowKspAr8n1+Osmz/hRPSKdrAOX7rbHjvz7alw7ToCpHM8xk5hmG0oJaWilx1Uxu9sv4YsxC7fmaWor/FQu+NXwvpoonpdNucwQ5/DwrJaHvF8YuFuJw2StukAYR9HjptmOp9xqtnHZg57+6myqZ2FuwhAam0rVOgHtuOF0+IzenlsDE0OYI99AKia3fOHUy5ifomq1yqiMtINJyYa1//AxVbV4Ge1u4TW6QCcK7g9lxGBdj8c+zscJ1otQXXIaUK8bUtHXS0qpmNWQgEAhMiwBb4PHwxhPWJXPVOgfNuCfhfuuqYsHjFGvCZc9Earu7dU9BG/9d749cCtqg4c3SKoQG2s+SFXosu/vm4as02WlBLqdCcFFTL3ttSxKxrlAbYls/YRatmfUsHnfz8evb1uttmkxx9OdsKNqpVJw9XMcNg5g/zctkxjmo72m1PfcG0PatvmWno4lvgILjVqTNBDbbjB96CvWQlthGJLJwP8HDX875rq3NgFEapoMvB6Ao2wL5Bx5TSzxHt5Ry5CSZ37TOBwJcQAbbA7R7LmD+CsJIclV85GN3q2t+AN7Icf2SLyI0Bowv2qp/WBZHr1ztc2Uh7SxuYfcg4FxZiyNjr4R2rpDJvL+jkvs/woNXCKxeOY8kmV3N3Ri8wI+D5HR7EkjVK0bI/5M7f88Ug3r7cJBHff3L9bl0Br1oOVKw5Rs3FC+QlgzxRwcb5evKwRM0Cd3AHQNs0rn1GaUs0tnXQI98fZF+fPkrbSIuc5Koj1h+tYv+OSYvuISyGIHFPaT3bn5hztjc2xs9hve5f/9t8nIpqW+isMamUFR/m8QDbqkqvLMEpHemR250mN6kpEPQnRIDtA8BPds3hShaUnqZxPtPT/Hyokn4+XMW8LvUKsI2cBRY45sMrJrFFkNaAUO78rqViLmM/rzlURc/+fIRVV1wF2HgJ/ipGVzP4bDmOWQT2vA0YX/MAGx0EWpCrgmx0UkFuosYevPquZn8EyfTBVrPAhtr4FVMzLb63WFDvLWug5IggzVZnPFGIdyw6cTwr7KgkmacXqVEh9NCi4boEeh9tK6Zrpw9iLgxawXVpZ3E9a12HroX0uozElN6aJ4EKKvl/+WovU93/4PJJPYJaJM/42JijbpDxGdGUEBGkm3r38t2lbIRpyqAY2QF2WJCfx91AbJEmteXeGyzdF6KCLRBYEAG2D3CowqQ4OVqngNSTWKpLMrLTcnHkhSkwFiMCa2cVbIuavoybPg/C5ShYS1/D6C4IfvzjneDt8LZkBLs8l+Cu1mBYQo1Oi6QhifrNa+qF0hlANa22akSOIoID6IZZ2Zb/b8yvpoe/PUCzcuLoyaWjFG/r5sIaqmpsZ9d2zITz7Rfz1+7lvlOHUUdXF8WFBbHqJz8XffGeonfCGeMa13+wnVlRrfn9LMMTEBaLRRlrBEungc18h7QDBL9j75p65zx9vZu5VZec7hY+Zu+OCrZSDQxchrLjwtj5ILezx1OClgKBNyMCbB9Ab7VLb5p10wNPtPP1ZdBe/fgPh5h6rB4VFTX87eShdM/JQ3vsU0eep1oVed0aYPsPYK2MzKu6EwsY0wKryVzR0CNxAY/VY9XNdMaoFKdCb6NSo9jDG9FyTsudB+SBiNTDVilKkj72eH7NUdp6vI4eOWO4RQnZCE0DgXOkqv7SAMk2cDMS5lsMe72ubk2Bl572UyDU3K2BzwXbh+6KNgPvubY6B7IScTaJEGwjtqzbjUGfkgD7/SsmWRJqRjEpM4ay49qYUKQSoJqP7VNCsGgRFwh6IQJsH0BvtUtPokX4yBGeEKTpy0Bsa+OxGrtWUlLu+3ova3mGlzAqe3piL+jBa2A+UY5iM1/4yWlZ4wsw1ppr8Ho6LCiAdj9wClVXN1KHZCGG97X21llsDldrgPX9/graXFhLY9OjNflpa2VfWQP98/uDlBgRTH8/Y7jbulLkVrBbzKJyShIaCILyq5vZ4j87PpxVedh2qjxwpIrJFk0DcR3zKAjOHlk8giXAgs3BpTuAEvOCf6+zuGGoHRPQ+34ovd7C6SA8KIDaO4zT34gKDaDTRyY7tdgCCFC5IJftOYMOEJyTuLbL6WLSA36sQKxQDkbbif5lYR65i8iQAEqNCnabpZ1A4AuIANunKtgD+o0FlBKSIoLYvFm4CjElget5RHtgYfPV7jL29U0nWFtmjeTZs0fL/l2+uJQj8GKZ9/Vway62OSEiWIfnkdclsu14LZtfzEuKcJlMUTu7ua2ojjJilAsttVvaXJUv4EckR9If5g12KfDEbdGUVLBxfFzw302m4//aqdbkp8pgRlpt5/ZMohPH/Xy/v5zNGc/MjqNJA2NonkR8zl3Yduv4m7tbPL1ekJ4fSErBadNawdY/wEab/r2nDHX5e9IkvT1dDmxbW2enwwr2nGd/YRoi8K9Oiw5xawW7rwGxRqlgo0AgEAG2T9CXWsStypb63YSwkNZDzEUgXxxFGrwZcVyu3FvGxPCmZ8WqEvZTIvACq6V3Lp3Qw57El3HmtS3l5XXHaH1+Nd1/6lBDxBO12A5NzYqlj66cTGoOrUFxYewhZyEPETwIlCkhLNCf6ls7qKmtU7OSvrQdNjLYVLnTuxtE4Jq1R6ro852lzH8cAbYnkHZr4LgKUVkMVDJKIzepBMtGVGa5OJc3JP1d3YNM7x/naJfDBCBOX70SWtzWkotVOqKmuZ3uWb6XHWsPnjbM6/QWoPnz5y/3MOvAp8+Sn9QWCAQ9EXdyH0DrnJ83IcQwvB8588vSnxlRcYOV2zd7yljrtJrgz1qF75Z1TLpT6OuGtzdReW0L3XNynqXKCpeAFXvLafLAGFo8KsUtYxhGVqGU2u3YghnUgbGhZCSo3N8no1JmC1pXEWDDqkjrZ2hRle/spoyYUFmVO4H+SDtesF/hQoDRgRNz4z1TweYqWF6yXsD5iACbj1UMjg+nx5aMtASVeoIxDIwpITBGEOooAO2pdj1AUScWrkn88qjX58RHTVxVsBFgQ7QWCTUjg+vbP9lJG/KrmZbJycOTZP9dY1snHa5sEorgAoFGRIDtA+CGI7Wv8GUumZxBZ49NZTdOvahv6aDShlbmu2uU72d/wtK2amMlJUVaGTZClMme0M1tn+xkVcN7Tsmj9Gjnwdew5EhWHYjzwpmwDYerqLKxjRrarJUO2LsgoYAFq9YAW67Il6XSZZColpI5eD1BgIT5bz8a4NKiTQ3cbxcLUa2VPKsvev9rK/UmpB0v5fVt9Nfleyk6JIBOzJ3htm3AdZaJH3Z1a/ITPntMKs3IiqXcRJNonh7AOrC62TpWgVlbo5IPSAye+Owv7Osfb5rhsKMDQf+fTspln5e9eeZlkzJYsIsOJafVb53WVZdPyaTzxqVRXHigy/UKiDR4pA15TSRb1Np0KdG/2F/WQA+t3M8+azVuCgJBX0QE2D7AC+eNZYFOX2hgRVumjO5Nxe19WBChte/5c8fo++T9eLHJrKS6uu1WB6Qqz0Zk4flrShdCW4/XUkOrtS3XGZgphm+8HErqWujLXaUsGD9rbBq5zapO8t4gbgZQsddKgMz5c4sYkkGJOy2ChpgPX3O4iom0zR+qzEs7v6qZrntvOzsGvrx2qsPfQytnt3l2UongEBdfQrJnwdBEyooLoyEqgxnpZ4TjAf8iWDfKm1zgYD9Y3C2sAYkn9gESix1dnaq6PjhKqpVyuWLqQBasphig1WCL9H7jLPGEivE54xxfry+amOHwZz2U4nXaz0kyPxt0vwCjR0HU2nTx37d333f4N13dLEnsjuNDIPAVRIDtIyCI8a5JHe/BG+bB+hIIOPBRYuGBG6c9IV2jFY+tYnjdhr/m8doW+s/afBoUG+rWAFtapeKtl7w6qun55dpUGVzBliOW54hdJfX0+sYCOnlYouIA214Cwx7vbj5O/15zlBaPSma2cGoq2HM0Wp0tGpFMY1KjaFhyBP10sJLu/nIPjc+IphfPH6v6OQXK4UkmluSwKNi7/37CgqJ2fV029ODMMak9/l9Q3Uw7iutYEmtipr4z60h2QUEdyV2jLLb4tQEft7tt8XgFW88uPj0TnGpGDOTecwSC/oQIsAVuZXtRHVtIDk4I001YSYulj8B+ZWD97Se4+MzNWW6D24ulYnjtChIpWMT8WlBD/gMGuGxl5JVed9ng2Vv4qFG0dsS1M7LokkmZLqvhvEpmVJIE7xPVXhwj3D/XHVZD3JPV1SwkFyNS6jkcHhRgCbC1gmAaD3CostFjgV1/x1LB7uqyKNh7whZz1uB4dlzKsSJ0xN7SetaZkR0XpsiCTglbCmvpwZX7aVZOnO4BNr/GN8MT3EnA1tDaQXtLGyg0yJ9GpkT2+nlhTTM1tnZSanQwRdkoxrUasI/xua86WMlcE04fmeI1FWylQS+/5yrRVjHCflUg8HVEgO0DPLhiH1vM3XxCtsvZU28HN8Q3fi2gk/IS9AuwNVj6CNQxKDaMvr1+usUH2GgxPASDvGtSzn4uqmuhP32+mxLCg1wG2JaWUDcFNpb5cslnp8aT2RF4zySjY5lX0I2yhYoODaRVN89U9bfSEQSjFpbcr1ap1zGOJyyihyaFs0U1RIty4sNlt4g6wkhvYYH8jhmjk4fOUCO6Z8sdn+6isoY2evPi8UyLQg9K61tZwIqKNcT4DBdI9PdjQmfOxlzyq5ro+g+2s7bkL+yMgtz39T5mE/jo4hG9LKSwb6cOitF1+w9WNNIr648x5ws5Aba7KthKxw34PVfJiARPDIsKtkBgRQTYPsDPh6qourmdrp7u+1ZU1rkg/TKdlgq2aBF3G6hGQujGXfNj0kqGnEWRPZE0V8ePu1T6rS3ivSvYRqjyOuLG2dlssZeqgwes3li7FVRUsC3tvkjK2BdA6pnUUPYa0sTgHz7bxapWd8/PVTVegKAFM+OJEUEeDez6O6ePSqYZOXEUExJA+8obfdq1gwdIegaPL63Lp892lNB1MwaxdYjRY1n8HHBuFen8vu9sBhliqP86R1+9lhBzos6VTRe0G/TS25DTlaFUMA/7FImUeAX3d0tC3IkwqkDQ3xABtg/Ql3ywrZWCLq9YjAvsc+/Xe1ll7u75QzyizL5gaBLNzomXBEtSz9MBuiZy1LTEaQ2wsYBE8GdEBXtTQQ2zgRmRHEHz8hzPL8sVgfMEfL9xGyslSCvAWPA5+kz1SGporeR9u6+czYEvGZVCg81CaeI65inxzSDL/L8nE7bcNURtkGLE/TDRrMRd3tBmfg3lVU51XT5OrCK7nJ97AW5uW+ajJrwzxlliE4kKLUJ2coD44qTMaMUJVNwznN03nI3l4B3hfYlih0AgAmyfoC+JeNmbrdWKGtVLgXPWH62mqqZ2VuG01+x2uLKR3t9SRGlRIXTplEzdP04E1tJ5ZNy0I4L9WcugnFleqe2OK4xud7TlvWunUU1NE3VIFmL/Omc0Nbd3Kp4HdqRz8N+NBUy8S+lCSW9grYb39fCi4XbtclzvE+XnNF/s8cW1zfil5qQG3k9VUxub79fqOSw9Ti2jLqJF3KNAuR6t2ka38Nrjyne20I7ienpq6SiamROn6jm0nDuOSDSPP5Q1tLplTYIxjNqWDuYVrbZSb0Qy3xm8EwbXB1cg+Fc4maKY8yeks4c7QFITtnb41xRgu+VlBQKvRlSwvRxksy3qyX1g4WU7W6sHY9Ki6OJJGTQ6Tb2ar8C1ireUotoW+mhbMQ1PjjAkwLYF1aUfb5qpPJHT1e2yZU2LoJYa7G0Lgjy9BInkCs6sO1rFhAHHpkcZ9t4hhgT9CLRFxitwsuKLYjWib0jA3Dgri10vnQUZ8MsGYQo/9692ldIj3x9kc51ag2Kp0rqlIidaxN0O5md/3F9ByVHBzId+0UjPjE3wa4PaoNCo9UJShG0F29iusTvn5br8nQ4XQb6zLqYN+dVMo2N4SqRu1p48OYrZ8f4GrtPf3eg+z3iBwBcQAbaXI7059IXWQbXejM6YlhXHHgL3dRpordy54mhVE72zqZBiw4Lo+plZiv9eul3MWzhggNNqyeCEcIu/sa8jxx4L7em3fLSTfb3y+mnsczYCU+De2UPQTQ5XTxtEZ49Jo7jwQFVByuVTB7r8Pah3Y1GcGatMOJLbdDW1dWiu5PE2VpxPaOmE+CMW/QL3cqSyiV5cl08TMqJZgO2r90ej1gtMOJGIKhvbeuhHeFJY1FWbujXR2PuzxJw0En+tMqrNSivYrmaw//LlHkIe5abZ2R4Zv3LF5ztK6OPtxSyBeJkbkucCQV9FBNhejjST3TcCbGHn0Bf2k9Fzy2jB/WR7CfOmVhNgS4WiENwFkZ+s+Ut38OqaI7RqbymdPiLZom776PcHWfUJAkJKWqnVzh5Kf2bkItkSMEgE3eQARW6tqtyuuGqaOtFInojBAl1r94M0GXJSXiJ7CDxo09XZxYTnDlc2MaEntIv70v1Rul7Q87zmllK86+PUEUnMuz0rzhhXE16J9/Mb4FD0z1VyS7pPe/+t/gkCawW70+n7+uFABeuswiy2kXy4tYhe+OUozctLoD8vyJP9dyX1LUyHAPtXIBCoRwTYXk7PG6bvzxiPSo2kdy6doMusKQdZdfhaRocGWDxqBdpwNcNs9NyyrcgNLFkQhGIWUI6VDdoj/7JgCNs+b/NH311cR6sPVtKYVOtIw+c7S9gxfMlk7RUDvuB0rsBrzELcYcBgkJ2bIw6WN7JgIDcxXPdrAn8+BNjw99ZybVaidi8wDt7ij6Bu9aFKenLVYVo4NJEePn24Wz92Z0GhHBCMQkALf6/neoF3baD9Gd0vSDwYmXz43fvbaXNhLf399OE0f6j9pBNe/5YTslkixJGneEJEkN3RMa6srWcbPar8r180jsKcXG9wzeDiZrEGq4jjdTDH3tCqrEqvtjsNjgpYiz1w2jBm5SYQ9HdENOLloLK27rbZ7IbQF6wPwoMCaEiivjfmZ38+wuYib56d7ZZ54P6AKxVuo1vEeVDMF5pYKGw8VkPpMhVRYc105phUWb+7tbCWdpfWswXbxMwYcptNl/m9YcGK4FqNZZTTz86ZAq+bEncWqxiFAcOXu0rYvOfc3ATKig9T/Lp3fLqTiupa6bWLxtEoSSKDg88clSbMXyu9rvJgo7G1g1WhoLafqXJBKdWkwIIYu6IvXOd9Delxyr2XPSE2Z702qKtgQ8fBCDtPiI3dMCuL3b9xWTFaJkCOlz3GevBwxLwhCezhLmcWnMsj7VxrpFQ3tbN/QwP9dNPc0DIqZA/++0rvC7tL6pn/eoPZ51sg6O+IANsHQFY6oI/MhxqBpV25D4jAeQt84d/hoPJodIt4gE2Ab6Sozi9Hquj1jQV0wYR09wTYNlVLqU8p91LVAj8PnCn18wU8ri2OfKL1DBiUtrzCc3fr8To2IqAmwOavyxMXtlQ0tNGiFzcwi67Vt8xUFNRaZrDbO3t4YqthSGI43TF3MGuH//u3++nznaVsNlPMProXfk4iyWHpzvGA2Bxvh3Z03fXk/eAKia4BxAuRWEIbcaoBc8SW+49BFluWCrabuwKrm9vdUr3WYlOmduzF1TVXIOhviABb4FZwU8ZsEJR+pTdsLVjmqYT6rm78+5zRbP7NUfBlxAybsyBUjRXbb8dqWBA0MTPaaZuwRXXXTYstrozNhYKkvqlqVLNtmZwZQ29dMoHZmuldpVCzH/GepJ7fcuCLtGCVCQfepgn1cnvUtvBKkvIKNp/BxnO7Uqh3BVopkdgBPx6oYP86mjkVuKFi2gE1d2O7c5yBLpq6lg5KUak/AIGtgppmlqhTKt6nhDd+LaA1h6vorwuH0JLR8jqFlCDHZrG0vpUqGlqZZoU9sbC6lnZWMcb5mhDR8/Pk11y9q8hY26BN+uyxqb1eU1rBjnGD5oecLgA97w1CX0cg6IkIsL0cCK5AqCIhPJhunZNDvk59Swf9Z20+u+npFWAbbRnSH3GkzMpZOiaFtd8ZZR1nq6arpiX9L1/tYV7emPl3NpZgDd7dc/xYq7pdPVRn8Z7leHy7IjIkgIaGOB/DsCYVjH3Pry8br+rv+ALYmfq7XCEyezSa5xKdJSGctctiAY328l+P1bAEwvDkSM3ngnVhK65j7sZS7evqtnR+KEnm6QU0GLToMORXNdPFb21m88Bf/26artt2qKKRJcjRdcGFvPTUUrE7i+5kzAVjJC/8ks/uRfZEvN7fUsTWGvZ+Hh8eSKNTo1iHjJ68+WsBG02ZkR3nIMA2qbDHhQW6rytDZYCt9N4QbP79VqEnIRAwRIDt5SAbumJvOWXGhPSJAFttVtUZaqqbAm2EBxkrKCdtbzMpyipv6ZObUecCXO6qYAfZLEQs1RQd2sPlEhsWSLfPHUz+Xjrv26axgs0DbEfzgOhsUBsgoOp11/wh7OtpT6wmHF7Lr5tKiXYW1K5AcmVfWQM7Rj3VtiogFmhhXh/JErTpm/aD7yU6tNrGOePPX+5h6urPnTOaWsxez0bNEVtE55y0G1s71+zvJ77/7M2znz4yhT30xtQ50+qwc6befD2KcUeLuJ+6eX7s0+iQAMXXRsv9VrSICwQMEWB7OUarNbsbadCjtb3S3dW4/gSy/5sLa9iM6QmD493++phR++KaKb2CZCVVZrmesq4WanrDK528stBqWazq8/rlDa30xc5S9nwXTcyw+ztY4F1obk32Rqwt4uo+k3CLrZD9hW6LDhU4zOvytavaa09RXQtd/b9tbEHL/a/7yrXel0BQwcXw2juLfda1w8j1Qrhk7IJXsKFhYGwF2/G126oDYn8beMJdaQVXCxYBRAdWXehOuHBihlu2KSY0gEakRFKOQg0LJA95AlEJvNtIz+KJQODLiADby+FzmnrMZnoD0oUoFqh6LGLcNU/an9hdUkff76+gkVj02wmwVx2ooG1FdTR5YAxrh9MbtEpL5+oww4vdqySQkVvBdrdI3pWzsmnpyCS8Kfb/wYnhrJ1Tr0UXul6e/+UoJUUEOQyw3cV/NxbQ1uO1dM7YNJqZI/844Ys03naolAhLi7j9CjbshrQE2AgwML7DUZ0IMActDcxTW1zHvIGThyVRbkK4JeHhTl5Zn8/OmaVjUum2OYMV/72l08eAa5l07EKPBJWrWfQTB8c7Vee36oA48MF2UsE2CosAooPrjkW01s/4bqWx6dH0X5UjOmqICApQNXIjEPRVRIDt5fS9Crb1ZojAR4/787y8RMpLiqD0aOG9qBe8UuwoG43Z0/e3FrGFnBEBti2opOOhRCxLThXEEyJ5zJvb3486us2jDX4D2Mykns/vamFZ29xORyqbKCIkgAUTRrG3tJ6JIU3PilVXwVZZ1Ucwjzb4cenRdn9uqcCpfH54vm7Ir7H8X+31mS9I4acNfQogOnHcDwLGD7cVswAVCu7jM+wfN0aDnBuSP2qVmI20TwyTBtjm7TMqwD5nXBp7aJkVdmZTdd83+2hjfjXdfEI2nTpcmxOAFOgyAEct4n2Zx84c6elNEAi8ChFgezmWubw+UsGWtvgieAsj7Tfoiyd5tkrXF7GqeHd7bG756Z8Os4Xm9TOzmHAXUGIpZfGUNXeBOOLaGYPo7DGpNCiubyRorJV7x4v0ncX1dOsnO2l4cgS9cfEEr7OK+c/5Y6m1o5PiVartTs+KYw9HwFpoTm48EzpSQ5xku5AgUStOx1TMiQifDjx9EyKCKDHCeIVhQU/QTYXrDVg2MUO1uJ5uftwqA2w1WhXK1fM7NCeo3KG94uw6WNXYRuUNbSyxZVQSwh4QrC2obqbzJ6TTmDR11x6j+ef3B+lwZSNdOyPLY4kmgaAvIALsfixa4glMvrumTL2r2ViB57DOL3d7bG75g61FLMC+dHKGJcBWs1h15SmLCq6RVVxbthbU0As/HGDChVjE7Cquo+W7yyg3MZy1hmrFWeWm1+LU4Llzvi1K5/LYaIKBoMKtpGXdFlgDcbSM7yBhhEU5FuRXTRtIg+KUe34LtCPtQNhRXEdolIH/up6dJUq2w5l6tqc63qT+73cvGMIq7dJEkxE402lxpb3C7e7s3cN4i7vewpI8CcETELZszK9hx9f8oYlkNEermujmD3dQRHAAvXvZRNl/t6e0nnYU19MFZitDgUCgDhFg+0yA3Tcq2OClC8axhbdeSpoVjW1sPjcyJFB4yLqpCsqVQo2cW0aQD9FVtCMu313KfIJn58TT4tHy1F/hL7xgWBLlObHo8gQltS30zZ4yVsG4dgbsb5pYu/2snDhdAmxbBXZ7C1TLdcXgSh0/jjrcOAfJZ6+LaltYZTknPtwQET6O1mszFsAIsB1VvQTuHV1CJXtPaQPde0qeIUrTWrtPnJEdF8YSkulOZpc1z2C3duraVu3I7uq5NUfp9BHJ9NeTe1twgZPyEig9OoRGpdpPxiFZdf74NBoYG6a7BoMjzh+fzmb4U6PsOwpwVwN3zSqX1LdSpMLrihpBUe4BvupgBS0clkSLR7n3vBEIvBERYHs5S0al0IKhiYpaY70dvVujlr2xSZbfsYCUzy87CrC7jJ9bRnWhobWTVbHhwbrqYCWlRVuFz+TM5svh+/3lVNvSQTOyYnsIqxlFsK0Pdoe+irx8n2APoQXSXgslWmJNv2ts4s46Dy4/YMAi9ONtxaxi5moO0xGbCmrpjk93MRVde0I/eP/4WNS6GPBqHrh8qnrf4p7iUY6FkQTGgvsrkjE4X3gQpNYizsjOIVcMS45kDyOYMiiWqa3jnDIanJfYF86uGyfmJrCHM6G0ofNy7f7Mcs3VucU9MzaUPRzRYD7HI80uB0ZitSnrckvXZEFNM9OlGJrkfnFAgcAbEQG2l4MsYlQfql4bgbuChf4En1921KroSmBGD0LNix+082m1bXLG6xsKaG9ZAz111ii3BNiW2XAeYP9/e/cBHlWV9gH8TUJLAoGEEHqVEppUqQIioSiyoC5WBBVhpem6VlwVXdHFtjyr2Au7wCKofGLsikpRkCIgIIhGIYAIgRBCIJCQZL7nf8wZ7kxmMu3eKcn/9zx5kpk7mdzMuffc+57ynrM6oZc5N/TGfA0oP1dxgp7jaXXm/XMNNd4HDGgse27NHhV4+htgG48dV2Z/uls+3pUltw9q5Vem9fjSHihk0Q80Uzvm/GJZn6lvb1eNLPOv7xbUKQt07lhFUHeiNNmcPoaCyd+gKBh6NK2jvpDAa1XGUZUBv2ezOmFTb/jitMXreLtzrgfb+ltvXbf7ujqFv/dT+tqM3BlExACbQgDDfbPyCmRoaj1TMn/bl7cJUWKaighBA4a7uWvFtgdoFn7m+uYHAag/UyWwjNKhEwVSv1b1cnsVdMK2YGURtzdelN48mt2DjRud167pohrn3H1e9hEIFjfe6SkEnubBG51LoOT/za+eW+kuwMYNNj4Cf///uKrn1gQOlJ7y8Nq6TBXcValAo5UiCc5LTEfJKw2CzJ6f6w3M+e7WOEHO83Naw/HTZ1UQhx7S2iZNwXKGqRd3vbdTTfH6fGpfS+uN8obK783OV6N0MBzbVV2BwDLn9Fl1nuMa4HoOtrn1376c07L6l2xJiquqVr1wrtd0YF+7hjVlY6Trflxm8Fl4O+Tb38bXcG4cIgoF9mCHOQxfXbc3Ry1zM8TLIa/h7s3vflM9hm1MWlorGAm3KhtPPcUPjWinbuSszHisb34QgBb60YON4wxzm2/u3VSmXNjS7es8Jcsxm/4f9P+ke7DNuqHHcFesgVqeYK25PKlvc5nct7lPWbbPrbHrf3nouZX6htZZfoB/o2liDTV1R99UNyunAcesrMhkLZ0USw/aCUUPdu8WieorkMSQr6zNlMvPbyD3D3U9d9lfaEzCMOBN+46XyUNgNm+WWLzvg50qf8ULYzvLBc3Kfma7s07KjYu3qgA8fVJvh23I2I/gO8GP5JnlwVQmzOHH6gTOATYafKF2jSp+Je30d+oJIL9D7dhonxo4Yw2/71sPNgNsImCAHea2H8yT97YfkoTqVSpMgK3nPRW46V3yBdZF1kttWB0s0DnoEXDuFTCbHjKNALSgyPcguIaHICvYwaa7IeKhWPKmS6MEtfxZy7pxQQlafHHGhARE+rPUowOcndJDNav5dwlE4jRkAr43faccOVmgEjf6Cw0t972/036cVqSElpHkiVEdVI/ojGXbVZBg1pSNkCzracExtPNQnkx5e5v9MdaZD9Uykd40TFYt5z2wDKAVzmVaL5tPAcuCoaHRigR0rvwxgilKdUCgQdHbEQ3YR1wKfa0bnRuOiSo7Bthh7ly234pz06UrYgzHC5QxO7HVw10rE7TEL/7ugCTGVZPpA9z3/lpp1vC2UmyzqbWQP9t9xOcebN0D5W7JlDIjIIJ0/DjfPOohqWYmvkFGV/RajO7cwGW2/o4NE9RXOLI3OARQ5xmnF7jKpJ5nwlxIs4IZNOys3Ztjf8wAOzS6lq75q4+UUPRgh/McX2NiP6sD7HPJ3tzfI+j7B3cNk4FmZA9srfCy15x+LZPk69svlJOlc/yDAYneMKcaHRHe+nRKX1VnhvK+jqgiiIgAu6ioSNasWSOHDx+Wjh07SufOnaWyqIjLdNnnR5pQERvn+zDANg/m8qXvOCwtkmJdBtivrsuUmKgoFcAZ1wQ2kzHhmD2Y8SnALn9NUk0ngQnW8dM0KU5WTO8n8aX7d++QNmootZnDFV9em6nKEEt/mbUcnj827suRd7cdktSUmjK+l3fZtk/bM/z634OogyPcJqI30vm9kJ0+kOVycAOKnmszGj8R/NesFqMy2QOHiIfWjIGtVJ0RivMm4+gpuX3ZdhWs/N/EXj7/vk7QZvbQZ1fvaeXng2tKr2Z1pHU993PRPa1lHWhG9oB6sA0B9iurf5GvfzoiozrUl4vaJEsdCxsmnL1xXdkVFLzhz+oKqAeDlMaEKCKEfYCdl5cn48ePl5KSEmnbtq08/fTTcvXVV8vdd98tlUGwh68Gg334pglDxDGcCUEegqSK9BmFmu4B0YGIq3VKMaQV81AtWGa4jGev7KR6mn0pYj2HTA8l9NRIE6zjB4E8biCLShsNalkwJ08np3PXe3PoxBkV0CGpklUNJPB7boF8vvuICljGS9PgDRGvEqPWA3Z38x1oTx8aB59dvUf97EvvkDvYDx1gV6TG1Ejy5U9H5PDJQhnQKkmaBGkYr6uGoayThSrAdreGvTcBthVJtJx7rJHIyyrIIfH82PPdbsdnYw+wPfRgOyfd2nbwhMx8f6e0Takpcy/vZOp+x5XWWScLi+29wFv3H5fVGdnS26KM6+FiRGqK+vJ36UOiiibsA+wXXnhBoqOjZenSpVKtWjXZsWOHXHXVVTJ8+HA5/3z3FXBF4U9yp3BnZjIM3IQ/MMzcZC50rmdPByJGuLHR80WtHCb4za/HZPOBXOnepLb0b5Uk1X3MWK57MXVCK3fmjOqgjkUEmxWFzhjrrvdm0aYDsnSL5wRwge+H56GezgacV1derBMb0JB5NLyhJ9IVBMR9WiSqm2B/AxHj8HU3K9n5BOfRb7ln1M/swQ4NnBPbf8+TRgnVQxZgJ8X9UQehPkId6zws25MTerqJBT3YCB71nF6wsmHOEwx71lWbpx5svNbYWIGRPWjESK551pLyw19BXhgkUUupGiPZJwvVtlCOJPLWnux8eerLDGlaJ1ZmDm3j0+8ysCaKsAD7ww8/lEmTJqngGjp16iRdu3aVjz76qHIE2EGeHxppQ8TJGjrBCcrIeYkP3KDoBFbGTKVm27T/uLrpxc0KAmxfxXpYqsk4Ny7YXl+XKT8dPqmGTX+yK0sNr7u2e2PTbsJ0D7a7JVN04O3t0i3+74fuRfI+CkVDh5WNHciy/tTojgG9B24mh6fWk1UZ2TKqo2O2YH8gq/GO3/NkYp9mav8odA2/a349Jg1q1ZB29WsGfR/QYIz9QIB9LL9Q4qr5FuifOHPWnqnabDjmkZPjcF6BjGifIj2aWN8ji+AYw46dzwnjqCR3c+WNI0FQ31UrbaDN08PoLZinjnocDQ9HTxWqJSJTEmpI9qlCyxuj3Xnqiwz5es8xmdq/hQxvn+Lx9UdPFcjGfcft+0xEFTTAPn78uJp3fd555zk837JlS9m9e7dEutOFxepLzwE1wqUA8watzAoaKmO7NZKL2yZL49o1VPDj7tZbfwaaq9ci+MLzGGIZyJxNchRvuPlAr4juWUFPJG6w9A2Dla3W+sbpZGGRPLHiZ9XjiCWfylvT2gjz9zB/HMu04BzTaz+7/lvBPXbQO7/lQK5qOHjzuwOqN2Zsl4amvb9ukDPOP0fPrR41op+3ul7RvUj4uzhPPZ3P9t+Ljgo4+Mcw+Oz8s9KgVvUyPYHOdYs/Zo9sL2ZpVZrN/dfsfNPek3zTsm68bNqfq1btWPnzUVkxrV9IPkIsf3Uor0DVs7hG6joW9wJI+ugOAvNRHRtI1skCy1Z4wL5hv9C41MLiFQiumr9J9h7LlwXjuknzpLgyI1Qw+gYNwO7qCXweozs1sI8IQR2EOvBQ3hnLEsHB7JGpquG5RVKcur87pgPs2OD3+KMXHeuW45gwXgtwfdArPKARQ48wysn/o4Em3o/VFfbnnJZnV/+q3vvxy8yrG4kiVVgH2Lm5uep7rVq1HJ7HY73NH1XCYLh1TEy0DJ27Sg7k/LE2ojMsn/N/t/SSJ8d0UAkzMOQrHPbbDK1Takrr0p9Hv7JerSPrCgKp9Mnn1q+cuPA7+SnrlMvXosfr8+mhuSHyp+yN38O1YkBQgmPvh0N5Mrh0ibiFmw7Is6t+VT8j6LbymIwrvQHCDa92Q6+mXv/NFsnxMjH5jwni6dsPyayPfnT5uvb1a6r3HZaa4tN6zf7QZZ5U2kM76+NzDYWJNc37PHXirf9s2C8XlZbdvpx8Gf3KBofXYf6ilWVYozSwxRI/Ny7eIu8YEjeN/88mNSTRlVv7t5CBretK+waOdb8vblu2Q/Ycc/3+nRvWkgXje0i4nPdtUmqqUQeIpSpKPR9pOjVKUOtI6/wNZpaDL3U+6gYE2Le+tU2+uq2/fVTLnC9+lmVbf3f7ex9P6SOTL2whVrqyWyPJPX1WWibHW36c4lxAc8INi7aU2bbx7oEy4yLHjhdn2L+HR6baH//9/Z3y0c4s++PuzWpb8j/0NoyI6v7ESnsjYr2E6kE/t/VUAeSL0Dkj4OkxHWVIuz+uCyt2HpaZ7+9y+j3fj//CkhJZmZGtfn5yTGAjhCqCSLjPo0ocYCOxGWAOtlEgvWbR0VGSmBiErEwBwkmJ/UyUiq28yifGqaxiYtz3OA1OTYmIcjVKSAjNPD9vpbWvL+nfH5Q2jRPtn22soRV+eOeGln7mgzo0kNfWZqrlpqBpUqx0bZXs0Lvurfh49z06uw6flPQfDsu1/VoGbR7Z8E4NZdXPR1XvAQxokywN6pm3bNaQ9vXlh9/zpF+bevYyynUaKY8enAHtG1hahr3bVpHkmj/J0ZMF9jrNm3P/Pxv2Sb92gZ3TQzrUl9e+PndTaRRTJSZk9YWr835YQqzs6trE8gYecu+Sbo1l3po9ciSvQJ0/Vhwf3tT5Izo3VA1SUKd2nCSWNsZVr17+EOPaeK3Fc8cnDfZtXm4gLj2/kcz7KsPltsQ68T6PcKlm6JVtXjdOxl3YShIsSAbnAKezDcF8HWnVqI66/wymIR0byvs7DpXJxVGzZnX78R1f89xqHYBdTOvo+7W9S3wN9bkWnC2JuHuxynyfR9aJsvmz4F2QZGdnS79+/WThwoXSq9e5no+HHnpI9u7dKwsWLPD5PYuLS+TECdc9psGEm8tqsdUk98RptU/OzBjCGAkCHSLu6nXhDmWPSveEm7IPJxhWhqF2eg4chpLpeXHV3SSXMZP+e2DcD18VlZSUu1wLklYFI7g2lv3pgiL7kE8r/n5BUbH6vPRwceMQccAQwWDkdsA0DswF9/Z8NnPf3P2NYB2/kXreV1Y4VlHnmH098bXsce6i2jPWC8a60JVA6sdwpT8HZ/7Ul8Yh9sH6rApLbJJQK1YKTxdIiRnZEP3g6rjB1J0qpR1XztdGLL/p79KDuMbgc46k+zGrsL6vmFCPezsqIax7sOvWrSt16tSRzMxMhwAbj9u08b8lVS+PE2qohE5HR0lRSVRY76eVqni4yBk/g/JeG4mfFW60wn2/q0ZFSUmxTUpKw5So0ucgGPtu/HvG/fCHfh9XitUNhi2oZY8qWt/kWfH3Y/Dp2RzLyeEzcNpmJVfHTLnnvkn7Fo51RiSc95UZjhmrysfbsse5i6nDxnrBWBe6Emj9GI705+DMn/rSWN8G67NCoIrpBmdO2UJ2zrs8bkr+CKw15+2B7KuV508kYn1feYX95ICLL75YZRLXw8X3798vmzdvlrS0tFDvGhEREREREVFk9GDDjBkz1LrXEydOlC5dusjy5ctl2LBh0rdv31DvGhEREREREVHkBNiNGjWS9PR0ee+99yQnJ0fuv/9+GTp0aKh3i4iIiIiIiCiyAmxISkqSm266KdS7QURERERERBS5c7CJiIiIiIiIIgEDbCIiIiIiIiITMMAmIiIiIiIiMgEDbCIiIiIiIiITMMAmIiIiIiIiMgEDbCIiIiIiIiITMMAmIiIiIiIiMgEDbCIiIiIiIiITMMAmIiIiIiIiMkGUzWazVaZPEv9uSUl4/MsxMdFSXFwS6t2gEGDZV14s+8qLZV95sewrJ5Z75cWyr3iio6MkKirKq9dWugCbiIiIiIiIyAocIk5ERERERERkAgbYRERERERERCZggE1ERERERERkAgbYRERERERERCZggE1ERERERERkAgbYRERERERERCZggE1ERERERERkAgbYRERERERERCZggE1ERERERERkAgbYRERERERERCZggE1ERERERERkAgbYRERERERERCaoYsabkG/Onj0ra9eulZycHOnSpYu0bNmSH2EFcezYMdm8ebOcOXNG2rdvL+edd559W15ennzwwQdlfictLU3q1aunfs7Pz1fHxqlTp6RPnz5Sv379oO4/+efQoUPy1VdflXl+9OjREhcXp37G+b5+/XopLi6Wfv36SWJiosNrPW2n8LN161bZtWuXy20XXHCBtG7dWn755RfZsGGDw7bo6Gi5+uqr7Y8PHz4smzZtkqpVq0r//v0lPj7e8n2nwKxYsUK6desmdevWdXg+MzNTHRe1a9dW53G1atVM3U6ht3z5chkxYoTUqFHD4XmU2969eyU5OVl69OghsbGx9m3r1q1T24waNGgggwcPtj/+8ccf1Reu+71791b1BIWPoqIiVfZ//vOfy9QFR44ccXgO9369evVyODb27NkjzZs3l+7du5d5b0/bKfIwwA5BADZ+/HiJiYmRZs2aycMPPyx33HGHTJgwIdi7Qib7+OOP5e9//7u66UpISJAHH3xQrrvuOrn77rvV9u3bt8s///lPGTNmjMPv4YZa31jdcMMN0rhxY3VzNWvWLJkzZ466kFN4W7NmjTz77LMydOhQh+dHjhypvm/ZskUmT54s559/vrpI47x/8cUXpWfPnl5tp/CEwNg5wP75559VI9sbb7yhAuz09HT58MMPVbCkof7XPv/8c7nnnnvUdrzfo48+Kv/973+lVatWQf1fyHtffvmlTJ8+XZYsWeIQYC9atEjmzp0rF154oWRkZIjNZpOFCxfaXxPodgo9lBHOUVy3dYCNBvVJkybJgQMHVJ2Nsjtx4oS88sor9kZ2XB+ioqJUnaAVFhbaf37qqafknXfeUfXA999/Lw0bNpTXXnvNIUin0HrmmWdU+TsH2P/4xz+kXbt2qsw03bBeUlKi7gE3btyoGl3Q2IrG13/961+qAcXTdopgNgqqmTNn2saNG2c7e/aserxy5Upbhw4dbPv27WNJRLD8/Hxb165dbW+++ab9ue+//96WmppqW79+vXo8f/5825gxY9y+x/jx42133XWX/fGiRYtsPXv2tOXl5Vm89xSo2bNn26ZNm+ZyW3FxsW3YsGG2uXPn2p974oknbEOHDrWVlJR43E6RA+fq4MGDbY899pj9uSlTptgef/xxt6/HOf7WW2+pxyjvv/71r6ouoPCD8lm8eLGtU6dOtrZt29q2bNli37Z//351LV+7dq16XFBQYLv22mvVNd+M7RRauGd77rnnbO3atVNln5WVZd+G59PS0mynTp2yHyc473Gvp+E8X7Fihcv33rhxo61jx462jIwM9Tg3N1ddE+bNm2f5/0Xe3d89+OCDqtxx7huhrPD8rl27XP7uu+++a+vVq5ft6NGj6vHBgwfVYzzvzXaKXGweCSIM/UQv59ixY6VKlT8GDwwaNEiaNGkin3zySTB3hUx29OhRGTVqlFxyySX259AbibJFb5bu2TIOGTfKzs6Wb7/9Vq655hr7cxhCit7M1atXs7zCXHllu2PHDjU08Nprr7U/d+ONN6oRCxjV4Gk7RQ70UqFHAqOSjMeGsdfKCOc2pgzpUS3o4cIIJ0wVcB5ySKF33333qV4sY/lquLZj9FHfvn3VYwztxggmXNtRjwe6nUILdfLSpUvVyAVnGHE2bdo0e68lzuPhw4erkUkYhYApROjRdlcPYOoYei31NQQj4K644go18oVC79JLL1U9yzfffHOZbT/99JPqaXY34ghliJFtehQKerlxbOiy9bSdIhcD7CDat2+fmmPrXMmiUsW8G4pcTZs2VcOEcKHVMI86KytLXSz1jXaLFi3UXKz33nvPocz1MFPjsYFGGEwj4LER/lC2OAZWrVol77//vppLZSzbmjVrOsynT0lJkVq1aqltnrZTZMDw0MWLF8vf/vY3+7DO06dPq+dRtpin99FHH8nvv/9u/x2c2zjHMffaeD3ATfnu3btD8n+Qe2gQx5B+3HA7Q1k6N7LhMa4D+/fvD3g7hRaGBX/66acqN4ozTO1ynvqFawCu/Qi2EYShwQRTQxA4rVy5Uk6ePGl/rbuy//XXX6WgoMDC/4q8MXXqVHVdT01NdXvt/+2339R0oK+//tqhzHANd77nRzCur+2etlPk4hzsIMrNzVXfdcCl4UYaPaBUsbz00ktSvXp11auNG2bMy0LCI1ScuNA+9NBD6kbt8ccfL/fYOH78eIj+A/IGkpPh/H366adV7xOCqpkzZ6o5ebfffrsqW2PDi7Fsdbl72k7hb8GCBaphRM+7B5zz6NFGPgYkvEGv9L333qtyNWC0Cs5t57JHuQPLPvzowBo9ks5QljpZpYaGM12WgW6n0HIOoMuD8xyNbePGjbMHYagHpkyZIh06dJCdO3eq68a8efOka9euLusBlD3uG9Dz7XxcUHBh1Kk7KFs0mt51112qUQSjFtCj/fLLL6sOFZy7ru7r9DntaTtFLgbYQR4iDs6JC5jIoOJBT9X8+fPl+eefV9mg0Vp92WWXqZtvZAcFBNqouJHYAq3baOnGl5HzYwo/6GFCsIThnEh0AujJRtIyBFU4712VI57DDRRuvMrbTuEPPRbLli2TW2+91SGBGcoQxwWOBZ0A53//+5/Mnj1bHRuuyl7XAyz7yOKqLPW13d157st2ipzrAXo8cS1AQA0YwXLLLbeoYeS41qOs77zzTjXaBSNbWPaRC73NM2bMUA3qOH+RuA7TCdCIiroeZevqnl+f0562U+RigB1EupUKw8SdK2TdUk2R77PPPlOVK3o0MaQQUL4YQm6EZbyQcRTLcv3pT39SFSp6P41ZQ3lshD/Ms3/kkUccnkO5Y+gvyhZLsTif885l62k7hTeUMxrRnIcOd+rUSX0ZoTEGqwlgTh96KlxdD1AX6J5sigzuylJvC3Q7hT+U11/+8hc1cg2rQOipH2hcdw6grr/+etUQj/wbLPvIpUcpaGhAQf4c5GvA/RzKVp/HGh7rc9rTdopcnIMdRLjhxrxazMU2wmN3yS8osmAOzv3336+SHRmX18IcujfffNNhWQ7AjTR6vHSCDOOxgW2Yv8ljI7xh/hx6L50ZyxbL8xnn3GHYH4YFomw9bafIWKYNQz+RpMrou+++c5vAUh8bzvNr9WN3SfMoPLkqS9TnCLJw7Q90O4U31NkTJ05UjaJYXsvYOIoEdjrZqTPcE7ore9QnXKYrvGFpNed8Gbj2ozfbXR1vvOf3tJ0iFwPsIEKrJtZONGYHxPwNnJyDBw8O5q6QBRBkYX3MV199VQYMGFBmO3o5sX6qhkp169at6rW4gUKFihZtY4Zh9GhgTVQKX5grhUYVY8Zv3EyhcQRlhykAmF9nLFtkjU1KSlLz7zxtp/CHsndVVsgEjzVOsb61pgNuJEsaOHCgalj55ptv7NuRTKdt27ZqZARFjosvvlg1tiHPhvE8Rh2AXq1At1N4XwMmTJigAmLMq9brY2uYMoTrv54mqBvjMUcX5znKHslP0dBqXHEGz1N4Q8JarFltDK5x3mIqoD6vv/jiC7VWOqBXG9MCdNl62k6Ri0PEgwzzbrAcD5If4SZqyZIlah6u8zBCiixYagmJjHDDjJskY+ZvDAXHzTeGjiEQQ4ITVLwoezS4YHkvwDa8BslPsGQDkibddtttKnEShS9cSDHEH/NvMd8W83Ex9wpDxzAFADBcDEntdHbxhQsXypw5c1SjmzfbKbxhmKc+j41wXLz77rvqWEA9j1UFsNQP5l4i8yzguMF5juW5kCxv+fLl8vrrr4fgv6BAYFlGlDfmX2IaABrOETShnjdjO4UvJLVEwwgSob399tsO23De434P32+66Sa56KKLVMM6Rr2gMR7DxbEsE8oZ14/LL79cLdmJugJ1A4U3XLuRRR7Lt3Xr1k2VK7LG4xoOKFNcA/CatLQ0tQpBnTp17EuyetpOkSsKi2GHeicqG/Rs4SYK8yy6d++uTioms4psaKFGK6QrCKJxAYVNmzap3iq0UqLn0rnscVOFnkyse4rf69evX9D+BwoMll7BkGAkLUGvk17P1tirjZZpDPkcMmSIuqH2ZTuFJ1xCH374YbWMT+fOnctsx/GA3ig0wqFhzVXZov7APG4MK0UiRHdrqlL4DAdGjg0kNtINJbqsMUIBmYTRSIpgybj8XqDbKfQwfBdDwO+55x57pm+MXHO3VvkDDzygznuMVEFvJ0a1JCcnq3nZjRo1sr8O08ewHfcA6AnHOtiuVpeg0Nm2bZsqI3SmOGeNR6/1wYMHVdmhoQwj0DTc62OEI0YttmzZUp3Xzrl2yttOkYkBNhEREREREZEJOAebiIiIiIiIyAQMsImIiIiIiIhMwACbiIiIiIiIyAQMsImIiIiIiIhMwACbiIiIiIiIyAQMsImIiIiIiIhMwACbiIiIiIiIyARVzHgTIiIiMs+qVatk27ZtHl/XvXt32bx5s0ybNk2io4PfZo6//c0336ifExMTZdy4cR5/JzMzU9LT0+2PQ7XvREREVuAVjYiIKAIC7nnz5klRUZGEky1btvi9Xxs3blS/W1JSYsm+ERERhQJ7sImIiMLMoEGD1JeWk5Mj27dvl6lTp0r16tUdXtu/f38JNVf75U7z5s1lxowZ8sILL8j69est3zciIqJgYoBNREQUodAL/O2339qHWePx7t275corr5QvvvhCfvvtN2nYsKEMGzZMatSoIWvXrpUdO3ZIcnKyDB8+XOLj4x3e78cff1RBb2FhoXTu3Fn69Onj135lZ2erXvesrCw1dLxv377SrFkzk/5rIiKi8MUh4kRERBHKeZg1HqNneMyYMfLVV1/J0aNHZdasWXLdddfJbbfdJi+99JIcOXJE/v3vf6sgvKCgwP5ejz76qFxxxRVq7jdec+edd8ott9wiZ86c8WmfNmzYIEOGDFEBfn5+vgrYR4wYIUuWLDH9/yciIgo37MEmIiKqQNB7jMD45ptvVo+bNm0qjz32mDRp0kQWLFignhs1apSMHTtWVq9eLUOHDpV33nlHFi1aJM8884xcdtll6jU33nij+hnB+L333uv13587d6706tVLnn/+eftzaWlpcvz4cdP/VyIionDDHmwiIqIKZuTIkfafW7durb6jF9n5OQwhh7fffltatWplD66hUaNGahj5smXLxGazef23MRR9586dsmnTJvtzl156qepFJyIiqujYg01ERFTBYI61FhMTo77XrVu3zHPFxcXqe0ZGhtSrV0+ee+45h/c5ePCg5ObmqiHjKSkpXv1t9HZjOPr111+v5n8PHDhQDRkfMGAAl+MiIqIKjwE2ERFRBaMDaG9hDndsbGyZ53v27Km+vM0QDqmpqfLpp5+qNbKRVA1zwZcuXaqynb/++usSFRXl074RERFFEgbYRERElRyWzoqLi1PLZxlhjjayjteqVcun90MQ3aNHD/Wll+TCXG5kOEcATkREVFFxDjYREVElh+zhmDONHmcNSckeeOABtXQXlgDzticcmcrXrVvn8HzVqlVVr3pSUpLp+05ERBRO2INNRERUyY0bN04lJps8ebJKbIb52J999pkKiB955BGv3weBOIJs/T6NGzdWidTwXnfccYfX87iJiIgiFQNsIiKiMDdo0CBJTEwsM7f6ggsukOnTp9t7mPVjIwS5eA7fNbwPnuvWrZt6jN+fM2eOTJgwQa1jXVRUpNbP9icx2dSpU1XGcqzJnZOTo/4G/laLFi0C+ASIiIgiQ5TNl7U3iIiIiEohadmTTz4p27Zt8ykRGuh52T/88INUqcL2fiIiqhh4RSMiIqKAIFjGsHIMNfckMzNT0tPTVQ83ERFRRcMAm4iIiPyih3/7A8PZ8eXrEHQiIqJwxiHiRERERERERCZgszERERERERGRCRhgExEREREREZmAATYRERERERGRCRhgExEREREREZmAATYRERERERGRCRhgExEREREREZmAATYRERERERGRCRhgExEREREREZmAATYRERERERGRBO7/AbfhDMjVEzrAAAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig_temps, ax_temps = plot_bev_temperatures(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "cell-11", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig_hvac, ax_hvac = plot_bev_hvac_pwr(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "cell-12", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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n7KQIp/5vZkI4xYQGUlltowiwB6e5Vsr9l/E96YSsGhqcZsmA94pHUA0AAAAAvgHBNYDJDO8eQ+9cNEKMxeJxBNdM7OX0/+WO4cPTY2hbXgU1NVsGBK4+UEJrc0rplAHJ1Duh8yB9TM848QYAAAAA2uBrQNDmNkNwDWBScs6fq26emklp0aEUHOhP/9ucS4/8uFP8++oDpSJod0Vjcwt9/Mch0dTspimZFBKINg8AAAAAaggICBDv6+vrKDjYskUPnMO3GQsI8Cw8RnANYDIyY+2uDGsp9+GyGnp8oSWwZltyK+hoea0IvB3JKamhjUfKRCm5LAcP8OPO5QeorrGZzhvRjbpbG50BAAAAgLL8/QMoLCySKitLxOccYHtyTWhUzc1+1NTU4vR1MwfWfJvxbefv71kiCME1gMk6hZ/w4gqKDQuity8cTnHhwW7/rPlb8oifl0akW/Zdrz9cTusPlVHaQMfB9fJ9xfTM4j00tU8CPT1nkPg3fkLnpmoHS2pEszME1wAAAADqiY62jF6VAbYv8vf3p+bmZpf+DwfW8rbzBIJrABMprm6gqvomqq5voqjQII9+1sr9liflUwam0PD0aIoODaLEiI6D9e3W8V2y47iUHBlsCa4r6j06HgAAAADoHCc2YmISKCoqjpqaGn3u5goI4L8/nMrKqp3OXnMpuKcZawnBNYCJFFhHYcVHBFOgv2dlQH89vg+tOlBKpw9KoSAnRnJtz6sU7/sntw2uE6wBOY8HAwAAAAD1cbDo7+9+BaNRBQb6U2hoKNXUNFFjY7P3f7/XfyMAqKagst6WLfbUoLRo8eaMmoYm2l9cLT4e0C5zjeAaAAAAAHwBWvcCmDBz3Vn5trt+2JZPN3+xSezFbm9nfiXx5C7+vYmRbbtTymMpROYaAAAAAEwMwTWAGTPXUcqPXzhYUk0rD5TQ7/uLj/najnxrSXi7rDVD5hoAAAAAfAHKwgFMmLlOUqAsvL2R3WM5xKZ1h8qOGfe1rYP91mxir3j64OKRlBTle/t+AAAAAMB3ILgGMBGeQT0oNYp6xlnmTCtpcFoUBQX4iez44bLaNmO1bpqSSdOzE6l7zLFzrGPDg8QbAAAAAICZIbgGMJGrJmSINzWEBgVQVlIkbc2tEJ3B7YNrLv2e3DtBld8LAAAAAGAE2HMNAE7rERsq3j/1y25q4g5mTvpg7SF6ZvEeKq1uwK0NAAAAAKaE4BrAJJpbWlwKeN3RJzFCvC+ubqCj5bXid36+4Qi9snwf7S6s6vD/ffzHIfp43WE6WlGr6vEBAAAAAGgFZeEAJrErv4ou/2i92HP9xgXDVfkdF4xMp5LqBkqNDqFLPlhHl4/tSfM2HqGj5XXULyWK+lqD7/a4bDy/sp6KMI4LAAAAAEwKmWsAk8gpraHG5hZSM3fN+67vOL4PhQb6U2VdE724bJ8IrMOC/Glir7gO/58cx1VoHRUGAAAAAGA2CK4BTBRc2++LVtPsIWnUM661odmZQ9NE4N2RhHBLcP3Yol20dE+R6scHAAAAAOBtCK4BTGJfUbV438Mu6FVLgL8fXWPtSt49NpQuH9uj0+/vndg6GuyFpXtVPz4AAAAAAG/DnmsAk+DxWKxfcqRXft/JA5IpKSqYshIjKSq086eSucO7UVx4ED20YIcIzGsbmjrNdAMAAAAAGA2CawATqGloov3Flsx1/5Qor/3ekd1jnfq+oAB/OnVACk3KjKfo0CDVjwsAAAAAwNtQFg5gAltzK0Qjs+TIYEq0Ng/TIwTWAAAAAGBWyFwDmEB4cACd3D+J4qyNwwAAAAAAwLsQXAOYwICUKHp05gDSu193FdJ7a3JoSLdouv24PlofDgAAAACAYhBcA4DXVDc00aajFRSCZmYAAAAAYDLYcw1gcNx5+0BxNTU1865rfZP7wXNKaqiwsk7rwwEAAAAAUAyCawCD25pXQee8vZbOe2ct6V1SZIh4n1dRR6e+top+21us9SEBAAAAACgCwTWAwe0usIzg6hEXRnqXER9GQ9JaR4W9tHyfpscDAAAAAKAUBNcABrc9r0K8z06OJL3z9/OjF84ZQrcf11t8HuDnRw1NzVofFgAAAACAx9DQDMDgtudXivcDDBBcs4jgQLpwVHc6Y3AqRYbgKQgAAAAAzAGZawADq65vor2FVeLj/inGCK4lGViXVjfQL7sK6XBZjdaHBAAAAADgNgTXAAb255EyamohSosOodToUDKiRxbupHv+t5V+2Vmo9aEAAAAAALgNwTWAga0/VCbej+weQ0Ylj32d9W8BAAAAADAibHgEMLAJveIp0N+fBndr7cBtNEO7RYv3W3MrqKWlhfz8/LQ+JAAAAAAAlyG4BjCw4d1jxJuRZSVFUIAfUXF1AxVU1lNylGUWNgAAAACAkaAsHAA0FRoUQJkJEW06nwMAAAAAGA2CawCDKqyqp+V7i+hoeS0ZXT9rp3M5sxsAAAAAwGgQXAMY1JqDJXT7V1vo4QXbyejkjO5techcAwAAAIAxYc81gEHtK6oW73snWkqqjWxS73iKDgukQamW5mYAAAAAAEaD4BrAoPYWWoLrzPhwMrrusWHiDQAAAADAqFAWDmBQuwosJdS9E40fXAMAAAAAGB2CawAda2hqpm8359KCrXliBrRUVtNAR8rrxMf9k40749reqv0l9Mm6w5RTUqP1oQAAAAAAuAxl4QA69tOOAvrnjzvFx03NLXT64NQ2I6u6x4ZSVKg5HsbvrsmhNQdLKTo0kHrEoUQcAAAAAIwFmWsAHdtVUGX7+KXl++lImWXs1i87C8X7od3M0wAsOSpEvM+rsGTkAQAAAACMBME1gI7Zl0gXVdXTg/O3iY/vOL4P3XVCH7p4dHcyi+TIYPG+oLJe60MBAAAAAHCZOepJAUzqtEEplB4TSj3jwuiRH3dSQoQlAA0J9KdzR6STmcSHW/62kmoE1wAAAABgPAiuAXTs+KxEmpIZLz5ubGqmmoZmMqv48CDxvri6QetDAQAAAABwGYJrAIM4a1g3MrPWzDWCawAAAAAwHuy5BtCp0up6WpdTSrnlliZmZhdny1yjLBwAAAAAjAeZawCdWrO/hK7+aAMNTI2idy8aQWbHe8ufOmMgxVv3lQMAAAAAGAmCawCdOlJq6RSeYh1RZXahQQF0XFai1ocBAAAAAOAWlIUD6Dy4TvWR4BoAAAAAwMgQXAPo1JEyy17r1GjfCa5/319Mn6w7TAft5nsDAAAAABiB4crCa2trKTQ0tMOvV1dXU3h4uFePCUANvpi5/mDNIVp9sJSiQwPFbG8AAAAAAKMwROa6srKSHnzwQRoxYgSNGzeOjjvuOPriiy/afM/rr79Oo0ePprFjx9Kpp55Ka9eu1ex4ARTdcx3d8WKSWTuGYxwXAAAAABiNIYLrRx55hLZs2ULz58+nDRs2iED7oYceoiVLloiv/+9//6M33niD3nnnHVq/fj3NnDmTrrvuOiouLtb60AHc0tjcTHnWEVy+0tDMftZ1MWZdAwAAAIDB6D64bmxspNWrV9MNN9xA3bp1Iz8/P5oxYwZNnTpVBNvs3XffpXPPPZcGDx5MQUFBdOONN1JsbCx9/fXXWh8+gFuam4kemTOY/jKhJ8Vbs7m+lbnGrGsAAAAAMBbdB9eBgYG0ePFiOvHEE9v8e3NzM9XU1Ig92Nu2baNhw4bZvsYBOH++bt06DY4YwHPBgf500bgMumlqb/L38/OZm1QuJJTUNGh9KAAAAAAA5m5oxg4cOEArVqygf/7zn1RUVERNTU2UlJTU5nvi4+NFCbm7AgP1ve4QEODf5j2Yi6+e30RrCTwH13p/DHrCV8+vr8D5NTecX3PD+TU3nF/zC9D4GstwwTVnq2+//XYaNWoUzZ49m/bv3y/+ncvB7fHn9fXulZb6+/tRXFwEGUF0NDoqmxHvt96xv5hSo0OpR7wx7otKyEixPGZLaxoN8xj0BB6/5obza244v+aG82tuOL/mF61RjGSo4JpLwHnvdUBAAL300kvivRzL1T6Q5s/dHcnV3NxC5eXVpGe8GsN3mvLyGmpqatb6cEBh/9twhB77cSdNz06i/5w5yGdu34Rgf3r2rMGUFBlMJSVVZFZ4/Jobzq+54fyaG86vueH8ml+ASjES/0xnsuGGCa6rqqro+uuvFx+//fbbFBkZKT5OSUkRWer8/Pw238+fcwM0dzU2GiNg5TuNUY4VnFdm3XMcGRLgU+c3LMCfJmfGi4994e/G49fccH7NDefX3HB+zQ3n1/yaNIqRDLHhr6Kigq688kqKjo4WI7dkYC0bnvH8a+4oLjU0NIhmZmPGjNHoiAE8U1HbKN5HhRpm/QsAAAAAwKfp/sqdu4JzxppLwh9++GGqrKy0fY0z1lFRUXTVVVfRTTfdRAMGDBCB9quvvkrBwcFiTzaAEVXUWYLraB8MrpftKaJDZbV0XN8ESou2bPsAAAAAANA73V+5b9y4kXbt2iU+njVrVpuvjRw5kl555RWaNm0a/etf/6I333yTXnjhBTHv+p133qGwMDT7AmMql5nrEN0/RBX31qqDtPloBaVFhSC4BgAAAADD0P2VO2eiV61a1eX3ceDdPvgGMHpZeHRo2y74viA+PFi8L8asawAAAAAwEEPsuQbwNeV1DT675zou3LKgUFLt3ig9AAAAAAAt+N6VO4ABXDiqOxXXNVPvBPfGyRlZvDW4Lq6yLDAAAAAAABgBgmsAHZo1OJXi4iLErGdfGEllL06WhVcjuAYAAAAA40BZOADoSnyYtSy8BmXhAAAAAGAcyFwD6ExDUzNtyi2n9LpmSgr2I1/dc43MNQAAAAAYCYJrAJ0pqqqnKz/cQMGB/rTqr1OJqIV8SXZyJD09ZxAlRVrKwwEAAAAAjADBNYBOZ1z74hguFhsWRFP7JGh9GAAAAAAALsGeawCdqaizBNcxYVj7AgAAAAAwCgTXADpTITPX1sZevujXXYX08brDVFBZp/WhAAAAAAA4BakxAN1mrn03uH7lt/20t6iaeseHU1JkiNaHAwAAAADQJWSuAXQaXPvqnmsWH2GddY1xXAAAAABgEAiuAXRaFu7LmWvbrOvqBq0PBQAAAADAKSgLB9CZ0T1jKTDQn8b1TSJfz1wXVSG4BgAAAABjQHANoDOjesTSuMx4iouLoJKSKvJFcdbMdSnKwgEAAADAIFAWDgC6ExuOsnAAAAAAMBZkrgF0ZldBJQUF+tPgiFDyVa2Za5SFAwAAAIAxILgG0JkH528XY6g+vGocDUwII180pFs0PT1nEKVEYQwXAAAAABgDgmsAncGca6LEiGCa2idB61MBAAAAAOA07LkG0OkoLl+ecw0AAAAAYDQIrgF0pK6xmWobm8XHMdamXr5q4fZ8+uiPQ1Rei33XAAAAAKB/KAsH0JGS6nrxPtDfj6JDA6m01vK5L3p68R4qrm6g0T1ikcUHAAAAAN1D5hpAR2R3bB5F5efnR74sMsSy9ldZbymTBwAAAADQMwTXADpSYg2u5SgqX2YLruuatD4UAAAAAIAuoSwcQEe6RYfStRMzROba10UGB4j3VchcAwAAAIABILgG0JGM+HC6akIGBQaiqCQCmWsAAAAAMBBcwQOArjPXlXXYcw0AAAAA+ofMNYCOHCqtEaO40mNDKY58G/ZcAwAAAICRILgG0JFXlu+nhTsK6M4T+tBNabHky84YnEpjM2IpIy5c60MBAAAAAOgSgmsAHalusHTGDg/GQ7NvUoR4AwAAAAAwAkWv4Ddv3ky1tbVu/d8hQ4ZQSEiIkocDYDjV9TK4tuw3BgAAAAAAHwyub7/9djp48KBb/3fhwoWUkZGh5OEAGA6C61YFlXW06kAJhQYG0Ix+SRqeFQAAAACArilee/rkk09ScnKyS//nnnvuUfowAAxeFo7M9d7CavrHDzupT2I4gmsAAAAA8L3gesSIES5noENDQ5U+DABDZ64jEFxTZIgcxWW5TQAAAAAAfCa4/uqrryg8PNxr/w/AbGqQubaJCLE8PVXVY841AAAAAPhYcB0ZGdnm8+bmZmppaaGAAEsG6s8//6RNmzbRmDFjKDs7u8P/B+CrLhrdnarqmiguLIh8nZxzzbdHc0sL+fv5aX1IAAAAAAAdUm3ez+HDh+myyy6jN998U5SJL1myhK677joRcHOw/fzzz9OMGTPU+vUAhnT1BMuWisBAf/J1kdbS+BZrubwMtgEAAAAA9Ei1K/g33niDkpKSKCEhQXz+9ttv04ABA0RX8BtuuEE0PgMA6EhIoD8F+luy1ZV1KA0HAAAAAB8Nrjdu3Eh//etfRcl3VVUVrV27li699FKRxb7xxhuppKSEiouL1fr1AIZT29BEewqrKK+iTutD0QU/Pz9btrrS2ugNAAAAAECvVKuzrK+vp5iYGPHx77//To2NjTRlyhTbRXNERAQ1NDSo9esBDGdvUTVd9uF6So4Mph9vnKj14ejCgydlib3WqVEhWh8KAAAAAIA2wXWPHj1oxYoVlJWVRZ9++ikNHDjQViJeUFAgMtfx8fFq/XoAwymptiw2xaKZmc20vonanRAAAAAAAD2UhZ9//vn073//myZNmkRLly6lCy64wPa1u+66iyZPnkxBQeiIDCAVVdeL9/ERwbhRAAAAAAAMRrXM9bRp0+iVV16hn3/+mUaMGEFz5syxfa1Pnz50/fXXq/WrAQypuMoSXCeEY9FJ2nK0nPYX11C/lEjqmxih4dkBAAAAAPBicL1z507q27cv+ftbEuJTp04Vb+397W9/U/LXAphCsbUsPD4cmWvp841Haf6WPLppSqbug+um5hYKsHY3BwAAAADfo2hZOHcHnzhxIt199920YMECKi8vV/LHA5haMcrCO5x1rfdRXGU1DfSXjzfQ+kNlWh8KAAAAAJghuP7yyy/p2Wefpbi4OHruuedowoQJdPHFF9Prr79Ou3btUvJXAZhOkS1zjbJwyTaKS+fB9eu/H6AtuRW0aEcBGVl9YzMdKq2hxxftpH/8sIOaW1q0PiQAAAAA3ywL5wZlHFDz23333UcHDhygxYsX05IlS0SwnZycLPZiH3fccTRu3DgKDQ1V8tcDGNr0rETqnxxJ/ZIjtT4U3YiQmWsdzbn++s+jtOmopSqnvLaR7pmRRSO7x9Cn64/QukOlZGQPzN9Gv+4uEh8/efoAend1jtiucMW4HtiuAAAAAKBVQzOWkZFBl19+uXirrKwUo7l+/fVXeuCBB6iiooJ++OEHSktLU/MQAAzjnOHdtD4E3Wauq3SSuS6orKPHFrWtwjlQXEPPnz1YfLynsJpqG5ooNMiyKGAkvGdcBtZs09EK+mDtIfFxcIA/3Tw1U8OjAwAAAPDx4NpeZGQknXTSSeKtpaWFNm/eTFFRUd769QBg5LJwnWSut+ZWivcpUSF0zjDLwuDw9BjxeWigP9U2NlNBZT31iAsjo8kpqbF9/MElI+mPnNYsvP3HAAAAAKBBcL1w4UL67bffqKSkxOHXuWs4B90AQHSwpIYC/f0oOTKYAgNVG0FvKJEh+mpotiO/Qrwf3TOWLh/Xs83XkqNCxDksqKozZHC9zfq3De0WLbYm8NvoHrF00fvraHteBW06Uk5DukW3+T878ipp3eEyOm9EN/L3Q6d0AAAA8G2qBdfvvfcePfbYY6LsOyYmxuH3NDbq44IZQA8u/WAdVdU30bwrx1DvJK8VlehaVlIk/fO0fpQYoY/xZLsKqsR7R/vi+RhFcF1hmVduNNvzLFl53vcvZSdH0sTMOFqxr4RunrdJZLS7x1oWDrgC6eIP1omPQwL86Kxh2NYAAAAAvk21K/j58+fTTTfdRDfffLNavwLAVLikmIUga90mYD11QArpxVnD0mhQahSN7nHsgmFSpGUBIL+yjowoKymCpvSOp1Ht/rYnTh9IN3z+J20+WkFf/XmUbp7aW/w7d0eXFu0sRHANAAAAPk+14Lquro6mT5/u8zcwgDMam1tEQymG4Fq/JvSKF2+O3DatN/31+D4UE2bMUWqzBqWKt/bCggLo3ulZdKCkmqZnJ4l/45Fj93+3zfY9fx4uo9LqBorFGDkAAADwYaoF15MmTaKffvqJBg4cqNavADCNusbWhl3cGAvIVnq8fG8xldU20IzsJE26cPPCx51fbxEfPzqzv63JWnuJkSFkVv1SIsWb9O3mXPE+Mz6cpvVNoDMGpyKwBgAAAJ+nWnB9/fXX05lnnkmbNm2iwYMHU1jYsQ1+zj//fIqObtsgB8AX1VlLwlkwgmsbPz8/kSHlknnuyi33+3rTupxS+m1fsfj4wvf+oOfOGkKZCeFkJkfLa6m5pYUSI0Kcqpz428nZ9P3WfDp9cArFhbfuh29osnRL7xYTqvIRAwAAAPhQcM0zrA8ePCjeli5d6vB7Tj75ZATXAHbBdXCAH7out8Nl1rUVdVRW0+D14JoDzvets57Z0fI6+uePO+jtC0cc8735FXX03pockem+d0YWGcmzv+6lxbsK6e7pfWmuE/PWkyJD6NKxPdr825aj5XTfd9soKMCf3rpguGHL4wEAAAB0F1x/8cUXNGfOHLr11lspISHB4fcEB7veAZg7jOfl5VF6enqbfz9w4MAx3ccTExM77FQOoCd1DbKZmffLnvUuJjSQ8ji4rvX+dIHDpbViLzyPR8uvtHQBP3OoZb51exxUf7r+iFgguWd6X5F1N4rSasvfFudBQJweG0Y1Dc1iAYIbn7UfVQZgZo1NzbSjoEp02w/wN85jHwAADBJcV1ZW0hVXXEHduik7nuWFF16gZcuW0Zdfftmmedqpp54qfldgYOufdN1114kAH8AI85wvGJlOQQG4KGtPZkB537W38bzql+cOFRfOm45W0N6iKpo1yHH3cjkurL6pRSwExBooc1tSY7lt4zxoSMZ/71lDU+mtVTl0uKxWwaMD0L+3V+fQf1ccoOOzEumJ0wegAgkAwEepFlz369ePtmzZQv3791essdErr7xCr776Kg0aNKjN1/bs2UNNTU309ddfU2TksfNnAfSOm2HdcXwfrQ9Dl2JCrcF1jfcz11JggD+N6B4j3jrCe+U5wCytaRAl4oYKrqstwbWnx5wSbdlrXVhlzFnfAO5en8zbeFR8zNsrHvlxJz1wYpZ43gAAAN+iWnB92WWXicwxl3APGzaMwsPDjymT5E7izpSGl5WV0bXXXkv79u2jsWPHUlVVVZuv79y5k1JTUxFYA5hQTJjlaYr3XHsb77n2d6G8mxt5cXB9qLSGspONsdDH5eyy5N6TzLV99r4IwTX4EK5WOXNIKr2x8qD4/LsteeL9w6f00/jIAADANMH1X//6VyoqKqLnnnuuw+9ZuHAhZWRkdPmzysvLRcfxl156id5++21asWJFm6/v2rWL+vbtK/ZcFxQUUFJSUpvycAC9q2loovLaRgoPCqCoUNx3HZWF8+3jbbd/tZm251XS/Sdm0bS+iV1+P3cR35rL5ePVdAIZg1y08LOrEnBXUqQluOaO4QC+gjvsXzupl2jy9/Qve+ibzbk0f0se3Ti5l6lH9AEAwLFUu4p/8sknqba28313KSmO9y6216NHD3rwwQc7/DoH15zVnj59OjU3N1NpaanY733bbbeRv797ZVmBOh+HFGAtN5PvwdhW7i6ku7/ZKsqO37poBM6vnRP7J1HvxHDqmxjh9cclN1Irrm6giJBAp353VlKEeL+vuLrT79fT47eivtFWIRASHKBIWXhxdT35+fv5bGMnPZ1f8N75jQr0p7/P7E97i6tp05FyWrq3mM4d2bb5KugfHr/mhvNrfgEavwYHKt3EjMu/OaAdOXKkW//PHZyxHjduHD388MMUGhpKa9eupauuuopiY2PpyiuvdPnn+fv7UVyc5SJZ76KjvT/3F5QXGGLJGEaGBbW57+H8Ek2Ii6AJGu2j5M7XLKt7nFPPCUMy4oloLx0qq3Pq+/VwfnsGBNAt07Oopr7R4+e9qOgwuuG4PiLIjo4J9/mZ7Xo4v6D++V27v5h6JoSLEXW8/e3Jc4YR7ybpmxwpRtOBMeHxa244v+YXrdFrsKLB9ZlnnklvvPGGU6XeSvw/6a233mrz+ejRo2n27Nn0zTffuBVcNze3UHl5NekZr8bwnaa8vIaamixjnMC4istqxHv/lhYqKanC+dUBzr5W1zeJculIv2ZxXroyJCmclt02mcKCAjr9fj09frmQ+4rRluyaM39jV64eZ5l/XVVRQ57/NGPS0/kFdc9vVW0DzX31d2ohokU3ThBl4GlhlgqQynLL8zoYCx6/5obza34BKr0G8890JhuueFn4xo0bKTc316X/01X5eGfq6+spJyeHunfvTiEhrXubeLZ2RUWF2z+3sdEYF0R8pzHKsULHOIhjwQH+bc4nzi9RVX0j/ZFTRvWNzTSjX5LX7kYHi6pt+4gDyM+pxxkH4qEB/tTS3CIahXUF59fccH7Nf35/2VEgAuuY0ECKCQls8zzBvTS4wWGadbsEGAsev+aG82t+TRrFSIoH13fddRd5u3STM9/33nsvXXjhhbZ/X716NQ0ZMsSrxwLgLg4cZWMcaKuwsp7++vUWiggO8GpwfbjUsuiXHmvu0t7dBVUUGOAnAgAl7n+Hy2rEOeMZ4fHhXU+DADAqvv54cP528XHPuLA2E1F4wZQbIkaGBNLTc9qODwUAAPNSNLh+9tln3c5C8ygtd3C2+vLLLxddyaOjo0Xzs3nz5tHWrVvp888/d+tnAnhbXaMlc43guuNu4VX1TdTQ1Oy1PYyHy2pt47VcybI/s3gP1TQ002Mz+x8zflCP/vrNFjpSVktvXjCchnaL9vjnPb5wF60+WEr/OLUfnTbQuaaVAEbEz0myPuXqiW23te3Mr6R1h8rE7HgOwo3wXAAAADoLrnlcltq43JtLwO1xV3AOqr/88ksx/isrK4s+++wz6tOnj+rHA6CEOmSuOxQVEijKrVus47gSrLOU1ZYcFUxjesbSwBTX5lX/b7Nlxu1DJ2dTaJBn3be9ocI64iw6RJmXg2jrKDn5cwHMiis0GFfVTOjFzQxbDUiNEt3yuSycpw6kojQcAMAnGG6gLo/Y4jd73GV87ty54g18z/pDZfT5hiN0y9RMw17ADEqNotlDUmlImueZQ7PhC1Se/c2BNV+oeiu4njUoVby5IjQwoM1+S70H180tLVRZZwmClZqvLn9OufXnAphVYZVlmkCig+ckrkLqnRBOuwqqaFtepWFfmwAAwOTBNYC9xqZmuv6zjdTUYsmUvXCOMffZn5CdJN7AMQ6oObgurKqnPokRul4I4ItqrkSobmiiONI3Dqxb2mWcPRVlHSuHzDWYXX1jC6VEhXTYsGxASqQIrrfnVdDxWYlePz4AAPA+BNdgaLy3kwNrtvJAiQgWuIEMmEtSRDDtK6q2lWF6I6PLTebcyTzzGC4Ornnftd7xggULDfRXbC97VIjlNqtA5hpMbmLvePrumnEdfr1fchQR5YnMNQAA+Aa0JgZDCw8KoOP6Jtg+35FvzIsYzvLxmzPjm3xRUpRlzF5+paUMU217C6tpyvO/0dlvrRHNiFwRHmR5Wq1tsDSp0zMZACuVtbb/Wchcg6/jzLVcBN5d6KtT3wEAfAuCazC04d1j6KnZg2wB9naDZgj+tmA7nfDSClqw1dIMC9qaPTiV/nlaPzrBS6WV2/IqbOXornb5ldluObvcCJlrpfZbs4jgQFvndABfNjA1Srw2zR3ejfzRLBwAwCcoWj979dVX09GjR53+/tdff53S0tKUPATwUf2SI+nX3UW0x6DZATmKi8tz4VgjusfwUC6v3TSyAkJmnlwtC2dGKAtPjQqhK8f3pBgFg+us5Ai6ZkKGmHMNYGYPfLuVckpqRTNNXuh11IPh32cMxBguAAAfomhw3atXL4qMtFyMNjc308KFCykmJoYmTZpESUlJVFZWRps2baJdu3bRiSeeSKGh6J4J7uNuzJx5S44MplmDUsTYJG91klYaRnHpC+/vZn3daJ72f2cOFhfV4cH67hTOMuLD6fpJvRT9mb0TIqj3RP02nQNQytbcCtpfXENNnWwdwXxrAADfomhw/cADD9g+fuutt6igoEBkpyMiWi+0eP/iq6++SosWLaK4OL330gU9+yOnlG7/agsNSYuity4cYehRJ7WYc9357dPQRGsOloo9wqcNTFH9fBwtrxXvu8W4fp+KDbd0ywYAc5MNFrta1C2qqqeFOwrEdItLxvTw0tEBAIAWVKtBnT9/Pt1+++1tAmu5invttdfSgQMHqKioSK1fDybU1NxCOSU1ts/3FFqyi0YOqo/NXOs/26kFrlC44+st9M8fdoj7gdqdwnMr6twOro2EL/oPFFdTWU2DYj+TAwjenrEl17JvHcCMqusbqdLaVyEpsvPgurSmgZ5ZvIfeWZ3jpaMDAADTBdecoa6vdzw2p6amhurq6iggAIEEOO/jdYfprLfW0AtL97VpXsb7rQ+V1oiv/7At35A3KcrCOxcfESwaAvHYtZLqetUDzoamFgrw44tmS5dyVyzaUUCPLdxJv+4qJL37ZN1hOufttfTGyoOK/cySmgY6/90/6MqP1rvcaR3AKPLLLQtwYUH+tiZ+HeFZ2HKRkLczAQCAeakWXI8bN44ef/xx2rNnT5t/52z1XXfdRYMHD6bY2Fi1fj0Y3MbDZTSjXfds3lfN3luTQ+W1DbQ935IZ658cSXuLqkVm4NP1h8nIwXUwGpo5FOjvZyu9zFd51jXHg7OHpNKMfkni97rqzyPl9PWmXENkbuWFvpKN9ORecy4wkPdrALPJs24dSXSiz0dkSCBFWB8X+daqGAAAMCdF91zbu+6662j58uU0c+ZMyszMpMTERCovL6d9+/aJpmfvv/++Wr8aTIBHU5XVNtLD3++w7bGNDQuibtEhdKS8jtbmlNGhUsvFTb+USNphzWIb9WJ+enaimAscq2DXZrPhi9iCynpRcswjbtSSHBVCD56U7fb/50wWM0KGSu71lx3OlWD/s6obmmyjyQDMRAbJiU5WtyRHhtC+4mrKr6wTjQQBAMCcVMtcc5fwefPm0d/+9jfRRZxLwRMSEsR+6++++4769Omj1q8GA1qyu5A+W3+YCivrRKfmo9aSOzkvV5aXDrAGVd9ssox842Cbg+6gQEuGsd6gwfW9M7LosVkDnL5Q80Vc/s+4hFnP5cYyuKw1wCgubhTHQq0LAkrw9/OzLTAYYdY3gLu9GVKjQygt2rnnbP5eJheFAQDAnFRNkwUHB9PcuXOpX79+lJ+fT9OmTRPjuOLj49X8tWBAH/1xmNYdKqOc0lqat/FIm71q763Ooe+25NGcIWkiwPp5ZyGt2Fcivt4vxRJshwRYLubrm/Qf0IB7bpycSd9syqUjZbV0pLyW0mPCVNtzzaXN7mZzZaaWs7Z6JxcAlM4uhwcHUk1DPYJrMK3Zw9NpakYsNTq5oJuZEE6/7y+xjfkDAABzUi1zzRYsWCAC6osuukh0Di8sLKTLL7+cbr31VqqtxeottAYz6w+ViY/PG9FN7K3mPaD3zehL310zjirrmsQ+28r6RupjN3f4ktHdaXpWYpu9ykYsC+cMCGf41O6CbXQ84ooXV7hGYX9Ra9d4pf39hx009fnf2uz3d0W4gmXhnFlWM0uvxp5rJveXInMNYNE7wVIKjuAaAMDcVAuuV69eTXfeeSdNnTqVnn/+eUpJseybveGGG2jt2rX05JNPqvWrwWAW7yokDh94H2332DC6/8RsWnzTRDprWDfx9W3W/dT9UyJtFyjBAX50w5RMOnlAsvVz42aueQzStBd+o/HPLhOBNnTs8VkDaPHNE2lSb/WqX46WOd+oqPOy8CaP7xfXfLqRftpZaKg91yzc+vOqDJC9B/CGSb0T6M0LhovnMPbzzgJqMODrFQAAaBRcv/POO3T99deLIPrkk0+mkBDLfqM5c+bQ22+/TV9++SU1NeHCC4h+to4smpFtyUKzQGuw3NjcQltzy8XHA5KjxNzhMT1j6fTBqW2ClxBr5s2Ie65tncID/MR+VehYj7iwLsfeeIob6bH48GAPy8I9uy/O23hULCx9tyWX1HJSvyRRLcK3q5L48XnV+J6UbvI54eC7rnlvLV363h+01cmpALxYN7RbNEWFBoqg+us/c+nbLe5VxwAAgH6pdpW6f/9+Uf7tSHZ2NkVFRYkycZnRBt/EwfOmI5bgeUrvhDZf4zLpCc8us33OAQAHny/PHXrMz4kLD6bnzx5sy2AbCcZw6Ut1vSW4jghxL5s7tmcsfXv1WLcXAfh+n1tRK7Lzr/y2n1YfKBVN/dz9eZ05b2Q6qeHcEZaqEwCz2nKknA6X1rhVbfTt5lzaW1RFRRvqxQIXj+oCAABzUC0S4RnWW7Zscfi1goICKikpESO5wLftL6oWwSXv0ewZ3zZ7FmA3Y5j32tp/3h5nrif0iqdRPWING1yHBGJkUVe4mdmjC3fS44t2qnIuGpuaqb6ppU1pszuZ69ToUJGhcrcHwZw31tBlH66n1KgQsQC18bBlAQoA9KG8pkG8j3IjMB6bEUeFVfW0q6CKZv13lZiSAQAA5qBacH3SSSfRE088QT/88EOb8u+jR4+K5mZjxoyhiIjW5lTgmw6W1hDHzNnJkQ5Loh89rT/1SQynf57Wj8xK7hMPCUBJeJe3VWOz6Bi+cHuBKueiym50lGzK5W180c0SwoNodE/LYhF30lfDodIacWGvdDM93i/OjZsKEDSACfHjpaLOUuES7cYiGvcWeejkfrbnnPfXHlL8GAEAQBuq1SJxh/AVK1aI0vDQ0FBqbGwUncJzc3PFvOv3339frV8NBnJCViL9evMkKrVmAdrjhmWyaVlX/rcpVzRo4m7jPErJKJC5dl5iZLDtgpQ7XSvdiEsG17z/Xe77d1VlXSO9/vsBamhqobun93X5/xdUWoJrnnk+Ij1GjKHbfFSdzPXct9eKzDh35eexd0p5a9VBMV7v0jE96OapmYr9XAA9kIG1u5lrNnNQCkWGBNCd32ylX3cX0e3H9fHoNUT2HXEG9yt5c+VB+sv4noqP4QMA/TlcVkPvrMqhE/slicoZMGhwHRQURK+++ip9//33tHjxYjHnOjw8nM4991w677zzMOsabDhAUiJI+vcvu8VFxpQ+8YYMruU4MegYZ5N5bBQvohRW1iveiIuD6tMHedYHorGpRQSW7K/H9+l0O4MjRVV1tgZI3CGfbc+rFHs7lWx4x1UAHFizMOv4MKXIx7Pcvw5gFLwfOjo0iKb1bdsDxF55bYPtcePuIhzjyhQuWOLtLrnltWI7iauKq+vpus/+pDlDUunCUd2d+j9/W7BdBPSbcyvo/84c7FJgDgDGwuM8b/9yC+0rrhaL9fOuHCOaA4N6VO2i4e/vTyeeeKJoWsbBNc+8LisrQ2ANquBmZhyoGm3WdVx4EE3PTqQ0Ny6sfI2fn5+4vY6W14lqB6WDa84WP3SKZ1sQQu0CVb4vurrQU1pjCUjjwoLE6Dm+8E2ODBGl1ty4Tyll1gCBY3+lGyrJknolZn0DeBNffPI2jLtO6EPnjnDc8K/COlGAg3BPRAQHUr+UKNpVUEm7C6tcDq55cezmLzaJLRgfrj1EZwxOdeqxfPHo7qJR4tqDpfTDtjyaPSTN/T8CAHSNt5pxYC2fM7bkViC4NnJwvWDBAnrkkUeouLhYfL5w4UK6+uqracCAAWJEF5eLg+/iTNyt8zZTSnQI3Tatt8cX+CLzW0eGmx06ICWKnjh9oNaHYRhchnmU6tqUZupJkF0mq96N4LrceuHODdE4K/bzjRNVySyV2QUISo+Ak3+z/R52ACXwotqLS/eJRaxbpvZWvOKHx8dxcP3B2kM0d3g3saDXHl+gpseGib4Innr+rMHitc/VChe2t7CKdhZUiQz6K+cOEz+nswqXP3JK6c8j5TSyewxdOCqd3lh5kNYcLDV1cM0LITz5AWMuwVfllNbYPj65f5KoigN1qVYLtHr1arrzzjtp6tSp9Pzzz9tGbt1www20du1aEVyDbyupbqCVB0rEXmku9fWUbAhmxFnX4DzZQEhmj5TEmebq+iZRRuUuvkgOtF4o1za6HlxW1DW0+TvVKtnkTLj971GnLBzBNSjr03WH6ZvNufTp+iP0w7Z8xW9e7pPAwSpXx3Ag6siw9Bj67d4T6N1LRnr8+2LCgtwKrGVDQtY3MUKMtDzx5d/poQXbO/z+ZXuK6eXl+2nRjgIa2SNG/Nv6Q2UePd/p3Zw3V9OlH6xXvGkjgFEcKqkV78dnxNGjMwfQiO6Wxz4YMLh+55136PrrrxdB9Mknn0whIZZmOXPmzKG3336bvvzyyzZdxMH38MghFhsW5NG+tfYZwzqDZa75Rd/MFzdKi7KWYparkLn+cVs+TXvhN7rja8djBJ0lA2I51ssV/MJ3xuAUMX5OTTJzHeNhaWtnZeHVKAsHhcmgkH27JdetOdOOvLPqIL24bJ8Iqk/IThL/dtUnG+m+b7eqspCnhJzSWlv3cc7gc1Y/v6LjsV77iqvE+96JETQkLZqCAvwov7KeDll/jtnw6ypXAu3IrzTl5ILvtuTSbV9uptJqxw1hAewz191jUS1s+OB6//79YhyXI9nZ2RQVFUWFhYVq/XowAG7EwuIjlLm4l+WBRstcf7zuMI19Zhn984cdWh+KITx4UhYtuXkSnTNM+VLGKmsw6GmDvRAP7ouzBqXS307uRxMz48Xnv+0rpis+Wq/4bG85pzcmDJlrMI4xPePoyyvHiEZgGw6X08fW5oGezrfnMvB3V+eI16XLx/YQzQ3ZTzsL6bkle9t8v5KLobwf8v7vttENn//p8s/NKbFcNPeIDaNk6ySFPOu0AUd4bzbrHR8uuoQPSo0Sn686UOLw+43Wv6Q9LulPi7Ykdo6Um2sBge8r//hhp3h9eHXFfq0PB3SMpwJ8fNkoumh0d7GlRVatgQH3XMfGxtKWLVuoX79jmwMVFBRQSUkJRUaqm5kBfSu2rrbGK9SkSQY0dY3GygLXWUuH3S0N9DWeNhHqaoyWEjOuW++LnlfncPfxzUcrFC9rzEwIp/NGdBPvlZYeG0oXjExXdLwXgMSNDO84vg899cseERCfO6Jbm14HruI91lzJwVVUXPLN2zq4o+7POwtF8Ds8PbrN95/1xmpKiAqlv5+STamRnt3HI4MD6OedBcQPb/5dSS78vK15FeJ9RnyYrRlaXkWd6DvS/vbgLRqclWe9rI/5sT3jaG9RNQ1Ki2rzfVd9soF2FVSJBYyVd0wlo9l4uIyKqhvE4gHvjee/+2hZHZFzzdQN4XBZ62LBupwyTY8F9I0X0njrCPdcOOvNNeLx/9nlo7U+LFNTLbjmrPUTTzwhxm9xx3Dp6NGjdNddd9GYMWMoIiJCrV8PhgqulQmWbpqSKboTc4MwI5HZTYxD0V5rF2DPnhpfnjtUNNBxp3FIYWUdhQcHin2fnHmRjw/Z6EwpHETwmxrSYyzBD4CSftlZIEqgs5Ii6KyhafTfFQeopKZBdNr25Hl/w2FLcDIxM87WL4GDVc70tHe0vJb2F9eIkmwlXrv4wrdXfLgIcnnknrPBNWcuuSnZLzsLxdzamNBAsSjITQQPFNdQ36S211eyWzAfMy8isAtGpdPx2Yniwlv6YsMREVgz3tWi9AhAb5i38Sh9vy2fbpjci7pZM9d83sxk4+HWfgB/P9WzCRfgG/j5gZfoq3TaDNZMVAuuL7roIlqxYgXdeuutoit4Y2MjXX755ZSbm0sJCQn0/vvvq/WrwSCKrXuuExTqXDiqRywZkcy08ygxcC4r8c2mXMqID6fLxvZQ9CaT+7i5I7knOABw1zlvrxUXyF9cMVr8jbbtDgbrJQCgJM7GPrpwl5gS8Mb5w8TC0OQ+CSLT6k+eBX8c1LLOAnQOZnmxa7W1hHpIeoxYBGtUoHR6QEqkJbjOr6QpfTqer22Pj4W3kPCbxIsOXCq/q7DymOB6XU6peJ9t18uBu4v3tXuu47+Rm8VJvPXGaIE149uS8ShDWfEj/80sdhZY7rNcfTTQWt4PcMz9JL+SPt9whAakRtkqcIy+3cOng+ugoCB69dVX6fvvv6fFixeLOdecxT733HPpvPPOw6xroMr6RkXLwo1Klg4jc+2c3PI6+nZLHo3qEaN4cG3LXFszO97G+6Hk+Cpbt/AAdXoJcPkoZ+m4W7HM1imFs10FlfVU29BEPePCHI4zAnDF1twKEVhz5nVwmuUi8e8ezqSXuOGVDHId+WVXId3zv61t/m1SX+eCYGf0TrAEwges2WV3cQaag+vdnHke0PZrv+4uEu+nOQjev9+WR1//mSuC84MlNWK/OVff8O3Mz0kbDpWJ3ijyOPWMn3v2W2/HzIQIcX3x2ooD4hzyc55ZtqqIc2xdUAHo7Lnt60254rppbE9LAqrBjUaroKM51/7+/nTCCSdQTEyMaF7G+7BHjBghPge4/8RsuvP4vop1e+WMJl8Y8AqdfZmbHvDqOe/n5UCmPZmRVHpeq1nxzFK1xjxV1FrHU3mYuf52c67IlJzUP8mlclX7ci05913eL5Rebf7b/G20/nA5/WvWAJrRz9IdWSm1Dc0067+rxMfLbpkkSl8BPMHznBln6ZTsT8ELQNwxmznqP1BV30hP/7K7zb8NTouiq6f0phbr2Dwl9pDbd/92xtqDpRQVGkiZdtUtQ9OjxWugo8qZ184dKvbpJlobn9njC2/ed77paDnFhQWJSQVyy8jTi/fQJ+sOiwzpnSf0Jb3jjunyuZJLwnlxb9agFNHYzEx9TU4ZkEzdYkLFYsFXfx4VlW8zB1lG3gJIcjtEanSIrTrSaBN1jEjV4JpLv5955hmqrm5djQ0MDKRLLrlE7LsOCMAFl69TMqDkF5j5W/PplqmZuguuH/5+O/24vYA+vXzUMav/8kIAmWvnyNupVoXSptE9Y8UCCDfk8sRPOwtoxb4SUZboSnAtR1dx5kg2JLIvC5elqUoolaO4VOgWbn9f5kAbwTUolalr/9zOjwnu3+Hu9iJuZMb9Dbh62NF2kIjgQPr6qrFteh4kR4dQbHgwlSgVXFuDYTm3uiucTX5wwXYxzvL184bRcOvc2lMHpIg3R3jcJW8zcWSk9f9HBAfSj9ePb/PcOthacsyVA0ZQYu3lwnvQ5YjPhxWqcNCT0wenirclu4vo8UW7xOMCwTW0d8TaxJAXYuS1BCd7+DlE6Yo18EJwzeXgjz/+OM2dO5dOOeUUSkpKEh3C16xZI2Zg89zr22+/Xa1fDz5IrQyfEjiwZj/tKKBrJra9OMxKihQXbtwECroWGhig2nm+ZmIvRX6OXCF2dZ+0LAnnvZxSaKC/yCbxTFp+UQy0jgjylBzHoUb3dc4QcYDN56imsYliSZsyezCPXQ7KYLl65ZRXf6eahmZaesskt0boceZv6S2TRTPMjhaueKHLPnhXepsDz5/lxzc/zvk4uvo7Fm7PF4E1B5D9Oyhld0X/lCji62zO+vLPTbRrqtbP+vO5csAIF+T8NzDZtM3s5Pnnpn6fcoXByHRNj4c73//7593iuf/MoWl089RMQ+7bN4uj1q7yadGhbfr6cA+LQH8kOA0XXH/66ad000030Y033tjm38eOHUvjx4+nq666Snyd92aD7+GOyH/7fgf1jA2j+07MUuRnyicOftLQm7OHpYkOpnxx0h7vG1Z677BPZK6tWV49ah3F5dp9UZa6h9uNAuPy8IU3TFD0+Djbxxk7xhfoauBFAf77OXMNFrnl3GE6GFtAXMRbh/YUWjPXdsE1P074eZ+Da575bN+sy1Wezrb3BFd2LLtlslNly7zA9ubKg+Jj7mbuqCqEnxv5Z8nqlx+35Yt5yMdnJYo3R89XnNk6VFpLe4qq2wTXXFYdHhQgqmp2F1SKQNwImeu4dp3cy2sbaP2hcuoRF2qIveOd4ccCj2jkkUo835wXZngf7Q/b8zUPrnn8Gd8nuZqEZ8ev2FdMj5zW36PHJnj2msN4WwQnoKb2SUDzXC9QbZMnz7KeNm2aw6+NGjVKZK6LiiwNNsD38Is47xlbae28avY517LsL6fEXONAtCAvJpXOXPMFPO+v5MBTq+Caf78Sc7a7whfKsouuWhme1vJ9/S6CeNtd32ylaS/8Riv3F2t9KIZypKxW3Gc5iOgZ17a0mYNCJmc4G5UzgTUvzt71zRaxr5oXxXi+d3tXfrSBpjz/G60+aOkOztbklIrRVLJxmyP5FZbb79Z5m9r8O2cdx2ZYGiFxUzC9G9otmp44fQBdMa5nm39/fsk+uvObLTRvw1EyuheX7aOLP1hHH/1xSFRRvHnBcPHvvMCkNR5hx/v7H7AmTbj3yOu/H9D6sHwSP19wEz+Zueaqk6fnDKJ/nT5A08VEX6BacN2nTx/RJdyRPXv2UFNTkxjJBb7pQIllH34PD/e2KlGKqzQOqP48Um4LXvjzfdYxIDlO7qkD7++55tFwx72wgiY/t9zjJnu2+6KLx5gQHkxnDE5xehyPu8pqGm17u9Xa6y8XQZC5Jtt9gUct8QUPBzpaUaMRoNp4Xvwrc4fSgydlH1OWLDOUZdZmhK7iMTW3f7VZlFrr3bI9RbRsb7FtRnWE3fYRKTzY8nguqbY0aWMHrd2zM+I73nok92o7Gus0I9vS8PDtVTniGPQsOSqEpmcn0cTM+Db/Ps3a3X3x7kLFmqhqgRujrrImJTgLyTKsC05cjcQZej0E2HOGptE/T7PsdeeqCZlBBe9WiHJjcH7OdNTIEAwYXF966aVib/XDDz9M69atE/Otd+/eTV988QX95S9/Efuwt2zZQhs2bBBv9fWtLwRgfq1zKJUrz7I1ftJ4z/Uzi/fQXz7eQIutq/wFlXW22aG8n629Sz9YR1OfXy4y+eDchfb3142nnxQulZYzrnlF19M9YiFu7gvn0rm/ndyPrp/Udu83X/xf8dF6kcFTgrwA4/3Wao3J4rJwhsy1xd4iS1mz7L2gRIWEq7hh1sz/rhSTFYyEF2q42eBpA49t1hVj7Rkgewi4irO5y/cWa77w+fLyfXTZh+vp106yw/aZ54tHO95KJCtRZHk0O2DNaMogzJHbj+9Nt03rTc+cOfiYr03PTqTJvS3BqqOtTUYwLiNOLCTyiECunDNySTiXgHOvgD7W5n68PYJfF13tOK+kVftLxLUPB3TSKf2TKTspQhzvkz+37bgP3lnkWHLzJPr08tFtrml4cUmL1x9fotqe6/vuu48qKyvpk08+EW/tffbZZ+JNWrhwIWVkZKh1OKDT4NrR6BOPS3E1zlxzYxH7DLrc29pRsMWZJN4z6I9JXE6XT8oLCSWVW7O5PN7GUyGBfopWUXCnXt7DJsvGPcV/4znD0ijCw5FjnTmxXxKN6B5DyXb7N33ZtrzWwKi+ybLn3ZtNl3jv461fbhYf/3fFAXpp7lAyA3kbllofv66S4+8cdQr3Jg74+HF+pJMM3/F9Eyk6NJD6JER0WHESFx7cprFXRW2jeO6Q+6c7EhEcKPZwO8Jdt5+ZM0iM8rLfy8z9TeS+br3gRWr+2zkDL7cMyMV37qi9JbeCtudVdHpb6BmPTWPpdn8bmz0klYqr6ylEo/PB2emP1x0W1ziyjw4v3D50cj+a9+cRGp8Rp8lx+TpeeOkZ3Hpfn/36KtFB/IOLR9qaFYLyVHs1efLJJ6m21vkVtJQUzOfzFbxiJju/8qgipUzsFU+JM4OPedHxNt4PZ/+32ZdpOWq21jqKC3tgtCQz10p0z547vBud2D9ZdP91BS+0tFDLMdlzd8vMO8Kd6e+ZoUwjwY5c3m7Poxo4k//377fT7CFpuh9D036/a2FlvdeC6215FWKvLuOq6km94+nGz/8UgdKjMweQ3nE2lx+fo3rEHDNVQY6SczdzXWF93Mu58lrhoFkcj91ibHt8MdzVBXFcu8z1zgLL/Y4znZ78jRwoyfnZnKV8fule0Vzu0jE9xH5O+yaMWnp/bY4Yg/i3k7PpjJjUYzprc3DNC10n9U8mo88ttnddu2onb/sjx1J5x49Re3x/vf/EbI2Oyrevszk33b4KT1aqab190uxUezUZOXLkMf/Gpd/Bwaj790W8/5gzjnyByZ1MuTyam9P0U7CDJHfO5Dct8T43XjXnp69e1pmiMiM6PD2aXj/f0njEnnyS02rF2YieW7JXXITeMKWX6L6sBHlRG63ARTZ327XvuOusN1ceoPfWHKILR6XT7cf1OXbMHF4Q23jj9wO0/nC5eNN7cL3fuu9V8ma5/P825Yps+fhecfTsnEFi7/ezv+4VgZiSs9PVwhmxdYfK6NHT+h8TXPdNjKQTshLdHklVWdeki+BaZs5lsO+uWGtmucS62LDdWjExQMEsFWfNeTQXvy3Ymi9Gib11wXBb1lxLVfJ8Ogj2h6RFi6kdcs+yEeVaG1Rxya9e8DYTvi/wNd6oHpbmd6AtTmBxpdKpA5Lplmm9ddebyOz81egS/tRTT4n39g3MzjnnHBo6dChNnTqVvv76a6V/LegUX7g9vmin6JC7+Wg53fzFJrrqk43ia4OtIxvMRO7l4hXD895ZKwI2WebXUXlsa+YawbWzvt2cK/axy8ZcSmaulSgLd5ecc92+W7i8byiVueYFLi4hVLO5Ff9s7jfQWSbOU/YLEPZ7/fRIdmOWvHlx88chyx5rnjvLJb5cHsvj0jkAy6/Uf7+TQmuvCkdNebhR1ZNnDKRzhh/bOdvZBlEsMiRAH5nrDoJrfsxyHw9+He1MgjW4lv09woL8ReNCJeZhS0PToynJ7lzw697C7a3XfEqUGHN/AI+eQx0slvC+cQ4AOfCQFWbOXMMs2V3YpmeClmT359SottcTvBeeq+Tk/dmb5m/NE+9PG5DcZh68/X2XA/DfMSXBK/g+y2PQ+HmzfS8J20K9xr2JzE7Rq/mysjI677zzRCMz2aCsrq6Orr76atq2bRude+65Irh+8MEH6aefflLyV4NO8TiQr/7MpSm948WLAV/McY5k2S2T6Nmzjm2c4gl+IvllZ4GmY27K7QIJ3tdysKRaZFzYkG7RDv+PfJKTT3qgzZincmumR17kemJ3QZUYP/Ldlly37j8R7boA24Jrbv2pAO6Ye/IrK22lwmrg5janvbaKvth4RLXfwQshsvpFPs706vTBqTR7cKqtbNdbjRd5gUNOKxiZbinZ5EXN3tZmSLz/VO+4hJ6p0WvBVhbuoPO2Fplr+9cQe7zf+e7/baXbrPvmO8Kjyib0iqMxPS17XM8a1o2+vmosnaxgGTSXmnK1gPTX4/t0OV+ZnxOv/XQjrTnYedaYq9v4bzz/3T/cOjbZl8JR5jomLIieO2swfXnlGJFtd8Ybvx+kO7/ZSpd+sJ52WUvstXTx6O501wl9RT8Ley8s3UvTX/pddHT3tnU5lufe4xzMUBdfP1QmkipP/7LHy0fmm3hxSk6kOGtYWpuv8UJbR1sUQTmKvpp8+umnFB0dTZ9//rltzNb8+fPp8OHDdMcdd9C1114r/m3YsGH08ssv04wZM5T89aBD9qvs+4stK2hpMaGqZKx35FXSPd9uE+Vv43u1HcPhLeV1Dcc0N9t0xHIbLNiaJ5qt3DOjLyVZs9hcLi+7r6Is3I1Z1w3KvUBwGf/xWYmKlE/yeeemUWN6xtKsQW33/XXmgLV0WO5tVGvPdb0XFnRsCyAN6pY/j+weIy7I/8gp0/U+Sjl3l7u+8yJjXaN3urVy4zTutN3U1GwrGZb3d87gcdCmZ1wBwTOuWUfjZLj7LS9SujO7VT7/almx4syea5m9d5QZtMdNQp8/e0ibf5OvN0r3VOCbLiEiyOG87fbn54bP/xT3+/u+3UY/3Tixw++Vi098Pvm5w9Vrhdbqn8AOu4a7Yo81Y83HM39LPt12nLZNoLjs2lHpdbj1dqpWqOmls7hiiLvRc8g2wrp4115WkmUhj7Oo/HhrP04PlPX+mkPiPW8vm9DuWhiZa+9Q9NXk999/p+uvv77N/Opff/2VAgICREZbmj17Nj366KNUVVVFERHKjWIC/ZH7vThru/GIZXVzoEodCnkPt9Z7SdpfGHHDpXcuHEFfb8oVWUxupHLd5F5tguuxPWPFMYcGIXOtZeb65AHJ4k3RzvUuBMN8X5Ajc9o3+uP9oEp2M5aBnQza1dB6G6gTRHKQytnGidYRQZwRM8L+4YdP7icuMNNivNNFnUvAeUZ0+xFKsgxa73OvC+3KmyMcBEyHy2pozhtrRHCx5JZJLv/8n2+cKLI4XC6sJX6M8znp6HVAZu/ty7G74k5w6iyuIrh7et8uv48fk//+ebdtDzgv9vDM4472DPPfFx8eJDqc8+JPRxVfHf0u2f09QqEy/ydOH0jzNh6hJ37aTTvy9VvlIRvKycUFb+HFOW7MmBwZ3OECFS8I8eOLX+N4uwI31wN11HAJvjWh42jRC3uuDRhc5+fnU69evdo80a1atUrstY6NbV1p46ZmcXFxoowcwbV5cGaWS1EePCnb9uQpg+uiqgZ6b42lXGlEd3UaXii9L9Udpw5IEeVa3DSF33jkGDdZu+243vTLrgJxYVFnl8njVUSzjMTxplCd7xtyZ+Y6d4Hlv4fLtuxHyLCn5wxS9PhkSZiamWvbbaDQYhfvJ+SLdDnGT04c4LEvryzfRxV1TaK/QfuGV3rAi25ltQ3iIlSrpovts0Uyy8sXY3pWWFXXaUm4/Ds4u80ZUndm1OthnNTYjDhafNOkrvedO1kaz48X3pbB5c/PzBl8zHOKkt5fkyMWji8Z050GpEQd0zCOe2Pw2rfc1XL666vpktHdRaMlbvT3+KJdFBMaKDrX8+s47w/njt9chu1KcM3Pn/J3RHSQueamo5+sP0INjc1tGj11hhuhMW4EqOUCHgemXP3WIy5MjBqzJ/eYe2uxjCsFX1y+T5Sp/3j9eNvoN0f4McnB99HyOtF7AsG1ev48XC4WMXgbpqPXQr7f8N1XjS02oFJwHRQU1Gb81vbt26ml9RHmAADGa0lEQVS0tJTGjx/f5vsaGhqopKRElJCDOfB8zoe/3yE+/mbTUbpmYi8qrW6wdbbMt2s2xPvB1KCHchdeuY0KjRQdGjm43nC43HbBF2odtVWr04DQSNzJDDuT5eGfq8SFkzvBv5xfymNt1M6ieaNDvdKLXU/+tJsW7mjbNIkz/Bw0nD8ynVbuL9FlYM2W7imiv/+wQ8x6feGctiW73prU0B532ecLXr03lbTtt+6gtFmWw8qFggiN906ruXeeJUR0nfV7aMF2255LXthOVjlTyN23Vx0opUmZ8ccE1/ya+K/TB1BJdR+xMHbdZ3/SpWO604WjLDO1v9mUS+ut/RK25JbT3+ZvtzXZK3Cx2R7fz/81a4DYd91RBQA/J7+18qBYbLp5amanz/ccCMaHBYnnGV4c4IUCXuRQo8zeGTxG7MEF26l/ciS9f0nbiTwR1seB3HOuto/XHRLPuXsLq2j+teO7nNrBDV05uOaGbN59BvQty/dZeg6N6uk4iaX1yDZfoeirUFZWFq1YsULsqWYLFiwQ76dNm9bm+xYtWiRKxyMjMcDcLOQLuX1joe3WEqqecWFilTqnpIbOG9lNrLqqQZa7NCjU9MkTclWZV3N/318iLjrki32tgvuEfZWcCa7kbXnJB+sop7SWXp07lIa3axbj7n3RldFZ8RFBdObQVMVGi3XGG030lCzd55JmbtLCbpjciwZaL+DlzF9ezJuRnUR6xVlrua92ye4iMXuY934OdSEr5w7OsvGkBu4+//7FI9sEWZeN7SHe9I77Frx49hAKCvTr8H7Gawdc9V5T71pwvb+omp5bupd6xIbRHce3dp7XI9n9u6N95/b4NVc6rm+C6ntc5SQM+0X09nhM16jwYPr40lHiOUHuHedsMLtnel9R2WHfvb6out7lCoQZ/Tp/HpCz5fk5hYPljkqZtx0tp1Nf/l304OARmry4w4EhB9xaBddyAbb9jGstysK3WqsSb7Ob2NAZ+dzT2X0EPHfRqHRKiw6xvUaCCYLruXPn0pVXXin2UvM+a+4aPnDgQBoxYoT4enNzMy1ZsoT++c9/0sUXX6zkrwYN8QXcr7sKbZ9zY6ENh8qod0KEaGTBq77ZyZH0zkWW+4FaWjsqaxe8/m9zrsgwTOubSGcNTaNFOwoow3qhE+og2NhTWEVXfbJBlEl9ctlozY7baB48OVtk5LiUUCncpZd/prxI8XZmnR8v95+Y7fBrn60/Qr/uLqRTBiTTGYOdb5DWVVm47FOghta9XZ4vdnH2e+7wbqJC5tIxPY7JxHLwwM8xvO+ay8W5M3JXjZ+8SXaA5uB68a4Cmr81XzwfqB1ccydsvg/yG3dKNiIOysb16vhccuaRS8M5qOA3x/2KHcurrKPle4upT6I2pfrtH5O3f7VZ/A0vzx16THM2WRae5MT9mh8L0vRsV24R98jASY6Jkrh6raqhkbpFh9oyxH2tza0YV3VtPWpZhOfyb+4obq+4quNSY3dxpQbv369paBb7wDsKrj9YeUC8T48JFc/nfxnfUzTtStFwvnRehaUy1NF+dfm65Y2ycH4+kaPMhqRFubQA0/4+Aq6/Fv7zxx1iiyEvSLVvfsr3DVkVAiYJrseOHUv33HMPPfPMM1RdXU2ZmZniY+mMM86gXbt20aRJk8R4LjAHvnS+98QsMY6Bux0v2VNEP2zPp3tnZIkScN6H7A1y35yWZeHzt+SJzD1nQngv6L0z+touKkKCjs22cikyr55HBut736PeKL1fiBeI5EgeJUZxubPnujPcZXXNwVIa1G6fnbt4fNXMgcmK/byOuhafMTiF+iuwgs4XjjdOyezy+55evIf2FFZTRlw4TbI2OtNTcM0BblNLi9cWAbkkmHEzPLngY0acma+y6yruLNn8Sslmge7iBSLeT8trUTyruH1wzd25OaAZkNp1xd/QtGhxm/A5H+2gs7TSZLVNSXXbYPjbLbn0/NJ9dGK/JHp81oA2X1u1v4RumrdJfMzHyl3Cb1+y19bUjBc6w1xc6OTA7c8j5WKxurOFK/5dNQ11Yv+1fZa/feaanWCtiOEZ8VrjsmpHM64Z/818Ozv6mtK4CpHPD79WOrt/+oTsROoZHyZK2sF9XMH1o3WmPDfKvcmJ10V7Ly3bR5+sO0wXju5O16NEXDWKv6JccsklYp51UVERpaamkr9/6wv6rFmzqHfv3mIEl/2/g7HxfmIue+Y3fsLl8Vty39XNU51rGKIEzmI+eFKWCLK1ajoiAzS5Gm5/DI4aCPHquf3XQBu8D15uJ1BiJA/vm37rguEuBTS80MIBF98X2jdYUrrDJ4+sUntsVUcjY9TEtzsH17IJll5wcynGF6McOHmr8aK8HXhcUnsbD5fR/y3ZKzJz3EhKr37ZVUgVtQ1ibnNHTbnczdrxwqbs1K01fq3gplS8EFNV10RJ7WIQy2uscz+LR659eOlI0VMh0AvN2uKsI95kR3B5/+aLeDkurz37DOY5w7uJ6wa5x/rWqb3dmtzAYy/v/24bDU+PFqXcHR9vMB0pr+uwCRdfP+yylqu3n9ygpc7KwjmD2X4BQy3coZ/xc4ez11m82KF2pY4vkNsuZVM5ibc5PLxgOw3uFi2qJju69uBqEb7eUXtEpq9T5RUlJCSEunU7tgX8ddddp8avAx3hcs1hHcw6VBuXe80eou3qsgyc7ZvsSP84tR89elr/NqW48vtdXaH3dUt2F4rtB7wfc0qf1tF/nmYW+f7r6Ny5il/YXOlyy7788yg9++teOrl/0jHBToh1v6leu6Or7VBpjchu8X7Jzi7m5DaB0hrvznrtCpfwsZjQIFuDLm/MuZaZa0eVHrxQs/lohe5HcX249pDIRj55xsAOg2vev87bKlzNQMvFUL5v6QEfBz8XVSrQlMqbzf3kbGouA5d49CTvn+Ys9OkOtrLMGpwiLvJ5LjM3JOTRW9LIHu5dQ5Q7WYlgWwxol2mXOMjnDv/8Ui0z27xYsDm3XPyNMpvtbbmdlIV7e/wW02sDSTPjLZfStrwKWyLps/WHRcPPFfuL6dzhHc+dty3U++i1hLdov1wLhsedQvkCjUtM1e5KqnedZaId/ZstuMaMa5dXbz9ed1hkeJUIruV88uiQQM3GrMjtAo66Nyv9gsj3Oz9r+bo7o4ucwVUs/HvE3ngP9/tyNopH/fxn9iCa1rfj8y1/T1knY2G0II+HM9dKjyjrjNyn62j/uVxE0ntwLbP+nfVXuPOEructO1Kpo7Lw1gx6nchc2+PyZX7O4+wkb+nQG86UM/tMMFccsAtGpjvMovHzjv0c3m4xAXTzlEwKDPBzu2GYfB7vqvpI3pfkomp7PAKM9YwLt1URbTpaLjqd80LV8VmJXn+d4MykXJhL6aCpHT/X8uOZZ3yr9bwur2W4n44rvQp4YfjPI2ViZOIJWer3ATAjDqQ588y40R7fD/l+wQmbj/+wVIlcOLJ7p9NG5OuPHhr/mpk+XlHA0N5dnSP2g3Jm9rSB3tlf3ZGV+4vFkzhnMrQYMcPdal0p824NrvWROTEKpcuky+use1MVapDGL4D8Ysf3xQtHpTt1X5SN7mTjO3tKB2Q8qufX3UV034y+dNawjle5PbHhcJm4GM2MD6fPrvCsWd8RW6Yk1KlOwJ3NXNUCN1jjrTLci2F3YZUX91x3HFzLahm9z7m2bwantMp6/ZSF22fQ22euuTPzvd9uEwHNR5eOIr3pFRdGP1w3vs0i2j7rPHpXKtkutXav5yDi6k82in30r8wdagvenb2vdLVYwuOIrhjXs8Omh9tyLcF1f7v97Zw84CCGF6x4qkRHe7XV9O8zBlJxdT3FOpgowbfZpOeWiwB7/jXjVE108P5zV/egc5XIDZ9vEp39V9w2RfVxk2bECzofcrf9dmND7cfeXjAqXfFJJuA6fbyigKHZ5pDqoDvvXd9sFaVmX181xuslS/zi1lkm+o+cUtFNnMsX5QgcmemWM7DB1bFryrxARAQHitV0WS7oKX7Je37pXjEeiJt6ORVcd5K5VnqutzdGcSn1Is7ZKFlW3VFZ8DGZ6w4yUlq5aHRr99bgfd4ry+PFiNE9Y6lPYmuH5mMy1zoOrvk5VZ7L6NCgLr+XkzGujJ2q0VlwLY9DZtSlo9bFJe66rUe8r9s+UOXHrBypxYtrruKggcfV8esjLzQ4G1zL262rhZiuyqp5FOOVkzKpf2LrNQQ/L/N4o41HysX+cG8H13y/Pq6TjK/Ys2/dVqDHahSxpUcsPFsWP/U0zcFo7K8R/vHDDtFgjvF9sqvnMqWbrYJj+nhFAUMrdGH+pto4COHgut4L+xkdBSzytzraQ80NXBZszadxGbG24Jr3qvEoi4x47F1yRbDCwSaXWvKeTqXwhQ7fF/nikO+PzpB/i6MSSg5UlVzpl4sSMgBWg1Iv4jJrzY+Vrsakxdr2XOsrc22PO/ryfvx4hRZyOsONovjNEXlbcnkg3x/aN9HTA85cciauq7Lw//yyW4yru3pCBl09McOlkX53T+9re97WGl8Yc4DUvmLzaLnca2uMbVf7ii1Z6+TIYLergcKDA6mmod6luc22zHUXCzFd4QWpE4elU0lJFTXaPX/1T4kUwfX2vErNq/Qc4QUz0RBPxQUzXsRirpbF8+IAL37yc3OJwsE1LyYoMULTiLhqVDYH5EZ+XeEmh1qPrPUFhguu6+rqaN++fdS/f/9jvpafny/eeARYRMSxK/WgPC5PkU1h9JC51nJVji9OP7hkpLhNHJV5czOj9s2WuCOqO11RfZ0RVl85cOXg2tkXsc7KwmcNSnHYFMhdspmWmsG1UnPnD1sDi/TYrrN2HLQ+efoAp8fDeAM/H3DJHjd2iggOFOWaeuhNYd+4jy9OY8LUDa65cocXSiZmxjt9YS2DpeAAy2JVRwL9/UWA7E4WXs3qDVf989R+DoMWOYKpq8oNLb296qCYU82l3dxh++W5Qzza18mLDEVVrvUEqLBu7+HeGZ3hRlC/7ioUe9hdeV6VU1C251lmc3vT/qJqkc3PiA/vcN+9DDDliDm1kilnvbmGesSFiesdV/Z28/FxcC0rRjy1NbeC7vxmC0UGB3q89cgI7vt2q3gt4fFbchLHrdN6i4pJ3rIwObPr/jNJUcE0onuMqKAE9RguuP73v/9N69evpy+//NL2b01NTfTggw/Sjz/+SCkpKZSXl0f/+Mc/6PTTT9f0WH2BLNnjrJoemsJouZ+Eb4POms3EhgXqstmSEfHFtpKrr5w15p+pZJMaV0u5OysLV7p5jrzd1AwslCplP1zaOvalK9wISatOvh3ZmldB1376pyjZm3flGK/+7sam5g5HMfG/c/acM0pqZzGu/2wjrc2xdLl9/uzBNCEi3qVmZpyJ7OwxIPcq67Ec1hUd/Y2y7FOvZeFsxb5i2nC4XDRZ4tdBHp3mCXca7nFF2IzspC5HPu0qqKK3VuWI8WYyuObHypsrD1LvxAixkDcgMIDa578Hp1mC601HK0Tpu1I9OpyxbG+RmBl+yoBkeuS0Y5NL3nocHC6tFdVYXFHgatM0JY+P+5pwRQd3di+kep/IXvPUBN5uYb/1hSuhXDGhV7x4A3VpFg1ddtll9K9//cvhyC5HGhsb6cknn6QPPviABg0a1OZr7733Hq1atUoE10lJSfTdd9/RvffeS8OHD6cePSzlt+CZ/67YTx+sPUQvnD2kTYOSKmvjlcjgAM26LBtlzIDcD6rnklVfbWj2yI876KedhXTn8X06LKN1O7i0Bs1d4X1+vPqc4YW9fPJ2c2UOt9sLXbxdwoO58zJrxzOsjdyTQmZreazYkt1FYn+/mqWl/Bw4+bnl4nnnyyvHOAwEfrx+AqmNL4J55Ff728MZnFl84ezBYp9mZ2wZOxdHWHFjP75b3jA5U1fVDu1vP1lmzYGfXslmgvazrj3hzjnlgH5MT1eCvNaf/fWmXHpj5UHb5+mxYfTdtePa/D/OGnNWfm9RtQh2vVkaLkeVdbadJCLY8hh3pZTeVQdKLPfF7m5UUYQp2OeBn0e4yR9rsXZ412oMrDdwPwHZx8BRDw3QF82C68BA5391cXExXXzxxVRTU0NTp06loqKiNl//7LPP6NxzzxWBNZs1axb997//pW+++YZuuukmxY/d1xRW1tHrv1tedB7+fgd9dvloW8ZLjgyJ0EHWus1eXA0y17nltWJPNe89P8NBqZm8+OBVXy4V5QzlYwt3ihV/7l6qZNmv2R3XN1GUACvViIjnnfLeTiVXvkOsTeqczdzyyBoix50+ufPuS8v2icY+D56U7fGxycUnNffZ2gfuXB4abJ3V7aqxPWPFSv0oJ2bf8m39y64C8ffxY1APC362nhTW4Hp/cTX935K9NDA1StWLc+4q3GK9KIsM0S6jk1te16bvgLw9nMGP7/FOZFnC3ciI8YLPTzsLxH2Tn3/1gF8LeMrAgNRIEfAzLqWXlTV6LguXzSC5c/GCrXniMTi+V5zbM5ndOaeu/mwZhPJrN486s5fewSLnfTOyKCTIn7KTvDsSjR/PLMFBp/CO/i418H5z5s5IOCXPafu/kUc1mjm45udR2XtCLw0YoWOanaE333zT6e/loHrmzJki2/3qq6/SihUrbF+rrKwUe7AHDBjQ5v/w55s2bVL0mM2IL7zeX3uIJvaK6/CJ6U+7rMPhslr66I9DdPk4y/Iwj5Z5bGZ/3YxV0DJzfai0ll75bb/ojuoouJar5XIEDAfXPCqHVyN5ViE4j7NwSpbkyWyLXABRQqi1Y7yzDc06w9mbJXuKFLu45nJIDnLUbKrFe8e5RDMk0M82m9Md3CG3sy659uoam+ihBTvExzMHpoiZuVqpqG2gF5fupTetC5O9rE0Lg7z0HGU/hkvLRYa9vHHWjiuZa1dLiF0ZK8bZM7knWMnHvaeLfCsPlLT5t/jwYHp6ziAqrmpbDqo3cdagj59LF+8uFKXXz5012O3gmoNIXpDyd/Jv5gVrHi/I/4cX4jq7z9t3yucqEp5hLR8v0gjrnlZHFUZaKK6yZq4jOr6vDkuPFqXazmyhcdf2fOuYshTXg+u5w7uJbQOyvN4T7SsatNgH701HrL1HPK3g2nK0nO74eouo1Hnv4pEKHR20Z4jlj/T0dLrxxhsdfq2kpESsQMfFtd3fExsbS7t373b7dwbqqMmJIwHWCzT53l23f7JZ7JNauruIPv+L4/2Ak3rH06dXjKaXlu6jpXuKaG9xte32SYwOodN0lHG9dFwPUXY9MC3K6+ewrtlysRweEtDh7+ZsHmch+Dv5e2SGPTI0sM3/Uer8ArnUOCkhMlix+829J2aJc80lXO1/pqPzy01eggL9RHOm9sKsK9Vczq3E8d13sufZ767wcT51ZtstPGqTtxNr9tPueZzP622fbKCft+fbFhrOHZkujoefH5Q8lx0ptt6nuZFaR7/nqZ92iZLtm6Zm0pgMz/bIduSAdb+wVFRd7/TfvSOvgrbmVlLvxPBOs1JR1n4W1Q3O36aVla0NBKNcDK7Ven6Oti52ceAg/47oQH86wcV9lVqQ2x7KahtsWTbO/rp7H//7TMf7ijuSX1pDf1uwXfR+WXrb5E6/V55vXoxZtLOAftyWT7dM602vXTCMtudWkn+AP43PTqaqSktAowfFNZbgPykqpMPb9FJr0kMtfK29u9CyWDbAjWssJe/Hte2qE/eX1Dh9PEa8vsqrtDY1jA316HWD/y9vMeAqT7VfH1taWui2eZtF1cUbFw63VfN5g9bnWLXgmvdIv/LKK/TTTz+Jsu5ma+Bh79NPP6Xu3Vvnf7qjvt7yhBMQ0Pak8efc6MwdvFIaF2eMPQ3R0e7vz+QGHhxYM37CbAkOongHXVz5kqt7agzlVDaI4LqqsUW3t8/c8dodl39wme2Fu6PbZ/X9M8STGmc1eWW93vqwSIwNd/h/PDm/ZpZTXE2frc0R2etrpvbx+OfJRY7UxEjF7tuTnfg59ud3zlOL6UBRNc27fgKNymhbCptk7e7NmTa9PvbUenHecqSckqNDRLOyrjKw0XYVIGGRYRSn0QQDzqDvKbBkeK6ekkmnDkmjrB6W4DXRmoHiahU1z2VNS6F4n9rBcws7WFYnmuRUtZDix1JUWUdfbzhCr/12QHzeLyVKBMsltY1O/66164/QfxbupPNG96DjBnfcC6FPt0aakpVIfZKcf/weqJSZwGC3/3aln59TEywLETUGfJx3t5ZJ51bW2yaI9O8Z77US1roiy22XEhPa5W2Xxitvojy5mY5axxgN7hlHSQlR4q2r87tg01FasqOAzhqZTuN6d92hWQkl1ikjvVJjNLtv8GOaG2/y0/CgXgleDZba8zvcNlNd78ZjxkjXVyXWLZiZyVEenf9E689R+/WHbT5cJmIGtru0niY7WYGmJK3OsWrPem+99Ra9/PLLNGXKFBoxYgT5O8jGhIeHe/x7IiMtT+i1tW1XGPlz+TVXNTe3UHm5pWmDXvFqDN9pystrqMnN/cXcWEd6+NR+VF1RQ371HTcjCWpuEpnX5sYmMf+R7S2sEnsIeSxDlpf3IOlNobXRR5AfV1S0LYW0V1tHJO+tldZy5Ob6xjb/R4nza2a7D5fRC7/sph6xoTR3iOeVE3I0SF11fafnTimOzm+t9RhqHRxDbVWdrfRRiePjucZcYqp2uTCXg1v2i7o3p5urUGa98Jv4eNVfpzrV3Zz/Lr5wyC+sIL96bfao8vn99a7jaffhUkqwZiPleaurVvZcdiTHGtxHB/t3+HuCrTdnQUm14seyPqeUHvluq+3zPglhIrjOLat1+ncVWF+jgvxaOv0/6eGB9PxZg8XHzv7sg3mWheXo0ECX/3bVnp+tpa5lds8BX248IsY4jusVp+u9luF+loWtrUcstytnkBuq66jEen9X275cy++ND+v6fDbU1tsy13usZc7xQa2Pk67O7/cbD9O3m/MoJtifsuPUf47hfiDF1sxlUFPnzxv8vbzdTzZQVVJBeS2dkJ0oXi+rK2rJ1atk7u59oLhabHXIdmPPtr18622QFh1C/VOixHtnH8dGvL6KDPCjVB7j6MT9uzNKX0t0Jsf6HMuWbMulQYneC3TVOsf8M53Jhqv2TL1o0SJ66KGH6IILLiA1cROzsLAwOnr0aJt/P3LkiEedwht12G3aEb7TuHus+63lPZkJ4TTL2ljH0c9asruQ9hRW0+iesbT81sltvm/htnx6bcUBmjMklR5QoNGSpzjQz6+oE6M00mO8u2IlZ0uGBgY4fU5kt9JgDggc/B9Pzq+Zyd5YHLh5evvIAFD+XKVub57ry/sOh6RF0aA0x6Nh7M+vPAbOBbQ/Bpkf4O9paGjyKCjmwHPCs8uIf8KiGyaochEmzXxtpegp8MHFI6mfG3v0OBCTTVz45cyZc8OBfGNzE1XXNWn+2OHAuv0x+ItbXpn7bmdKrHtIeeZvR79HzlSvrG1U/FjyrOeOTcyMo+sn9aLRPWLFXj9nfxePO2LhLjynOqvYuvc7NvTYc+QspZ+fQ60Xbfx388/l56b//Lybahqa6fMrRlOveM8TEmrpnxRJ3149lvYUVdNtX26m1Gjnz7Mji3cViv4uw9Nj6MYpluZuncmz7knlvdpd/d6IwAB696IRYpHxqk82in9LiTz2/3V0fvsnR9K3lCeqPrzxHMPP2U+eMZCKqhsoOrjjx8LGw2V07acbRbLj8yuUH/vHt+2Tpw+0HJMbf/d3m3Lp5eX76fRBKfTQKf08OpYKa2KCG0M+4eYxOfP45b3cfHtGWDuxa+XCUd1F01MuzvLkPievJbjnh9r33dE9Yun+E7Po8UW7aO3BUk1ej7W6hlatGJ1LskeOVH+zPGfEx48fT0uXLm3T5Gzt2rU0adIk1X+/keWU1tqaknX1IseNuviJuz3Z9TFC4yce6d3VOXTjF5to0fYCr/9u2UwnzNrIypHXfttPf/9+u+j+bPk/zW1GVIBzZAaTS8E8xSv90/ok0LiMWEXPw/fb8unpxXuOaVDUEdngytF4rPadtz3BF5SsReVRXEp07y+wZmu4JNxbv1MJnTVwU3pGe0d4rjZ3WufFUyUbgTlLdgXnOazPnTVENLbiiQhjXdjbzRk4FuFkt3PeRsBvzpClyzHW/dp6wFl02QSRH6d5FXXiNYKrMXgsmZ5xg04+x/utr22ejjbjqhXetrbHmgRwtSt/Z7iKhoMy2Ug0OTJYHL+z5P7/Pw+Xe6UZKZ//aX0T6ayhaR3OrZeN+fjlgWc/65FtBJoCzzd9kyLo/JHpNDFTvZnN/FzCI9r++cNO0QGfF734OWnl/mLSAi+qe9o82P7aydnnSk+MsjYG3Hy0XGTLfYVqryoDBw6k1atXU79+nq1OOYObnV144YUii80l6G+//TZlZmbSKaecovrvNjLOaHA2ekBKpAicuQnJyQOSj/m+CuseDUclaXIcgn0nbC3JYMHTAMSz4Lrj24I7PnM289QBKeKilxv1cIdYLUflGJGSXeG5e/N/5ijfeEtmBZ0dxSWDLfm32bP/N/4+Z8qjO2J/PGqO4mo769q9F1V5kchNuZz/nX5tFhG8jS++Zr+xmkZlxNG/ZvWnAGumWuKSyBfPHiKa16np3BHp4q0zao7uKXTj3LUnjyuyi8Vbfu497bWVYrF3yc2TnAqU+ML87GFpqi9yuIJ7SPDdNyw4QNyPeJ4yy4gP03Wn8PbZKpadFOHVQEw+V/AoTGetPlgqbm++DnJF38QIUfbOCzQ78ytFoK4HchGSHzfcFC9C4aQH9+bh6gl374tKjuIa2T1WvEm8yMHnUsmtTjvzq8SINk6G/LKrUCzc8Osnn/cHT8qi2UPSyFuLtdwFXgltryVaxDQPNZTVNIhrYd66x7cbL35tya2wBdtmp+gjb9u2bVRXZ8k0TJgwgR544AEqKyujUaNGidJtRwF4cHCwy53D24/dGjJkCH3wwQf03nvv0UcffSR+31VXXeXSLG1fxIE0v/Ec61NfW0X8fDmtb8IxFyZyhZ+D67u+2UJFVQ30nzkDxUWiHIfgbGZBbbaLeQ0umHhVmed6djaHsv3xvXruMK8dn5nIRZTaxiax+qqHecaezLnm7LnMgDgKroMC/Oi3WyeL957+rXJBglfA1R6hJ89TvbUhm7uZ62QXMtd3ndCXmlpaqJuHI0vcteFwmeg+v6+wStwH2pek8cII75/VgzAVM9fcFZzZPx/yIi53Dx/ZPcapTKyzry98P6u0LgJzYOFsFpIXl9ReYHIFX0Avv22KLXjhniYsM944zc34/j09O5EuHev+tjx3AjFXMtey5ww/F/J4w+nZrnWx5ufN3gnhtPFIuZhDrnZwzXO4uQSdqwE665rPtxkvSvBjgBcbIuIDFT2Gyz9cL6pd3r9kpFuVCeHWYF/JxTxehDrx5d/F6ye/RgYrGCxydpyDROm8Ed1Eg65NRyvo0YW7xPP7KQ4SUkp7f80hem9NDp0zLI2un9z1Fomunit5WwM/Tvm6Qy0vL99PX286SjdP7U0n9U8SHcp9qUJT0ejzlltuoYMHLTM9pRdeeKHD71+4cCFlZGS49Ds62sM9bNgwevrpp136WdA6QoP3NJbVNtKB4ppj9kbK0ryokABRpsXlWjxz0RJc6ytz7a0Zso5wSVxXMz1tJTnYR+0Rzhowfm3g+6AeG/24krm2z7I6ykpzQK3URYPM1IV4IajwdLHLnWyUszOx1bL6QKl4Py7TO12EPcl28OOGn7uVyorYK7N2N7afIf3fFQdEtvDvp/RzKriWAXNXmWs+fjnm0NlKEb2yzwpylRPjCiej4IosuQfWE65WVVwzIYMOltbQ4A76Wzi67okLCxJ7Waf0jnd79BiPGVIbB9YPzN8uFqVeO6/zBXleiNxXXC0WJpXao19SXU/XffaneGxlxIWJMnp38DWkfcLGE5wU4tAwIjjQtjDNi+2eVHXZ4+17vPDCmdZFOyzbDHkRZka/JLrrm60ii88z0r0RXHMjODEuVIHnab5G5sURte0rrhbXZ/HhQXTxaM+mQhmRolekTz755DFduzuTkmJpogXa4FUrXoHlC/feiRG0/lAZ7SmqOia4lk1l5IUYB9cyo9AaXOsjuJElLnoq9bMnAxq9Hp9RcGZKXkzzi44nwfWOvEq6/KP11D02VNEmMLbsuhNZQb40mJGdaOmsrfI+aHnf4yy42jxdTJLBtbsXc972884C+nT9YfHx1E6yYV//eVSca96DLIMIpZ3w4grx/P7BJSMprYNFPy6N5jc1lNc2tNlHbL9IIrOMXblreh+xkJuV3HXmlrMifJs6m4V/bsleERhdNKq7x52L1bLd2smat275mogg6+xyJ4NrLu12pbyb7y+eZNc5aGCclFCbK0kMfoxZgmvlgv63V+XQ4bJaSo8JpWfOHOx29VR0SFCba0pPPPnzbvp1dxHdM72veJ7j61keE6ZEwRI/P83fmi829Dx/9mARXA/tFi0am7FLxnSnh7/fIWa6ewMH16xbtGd9DLwp3zriTqsKMq0pGhF5o4EZKOekV34Xq+RvXTic+iSEW4LrwupO973JC0F5ASNf+NS6QNRyL647F9a8z5BLPjtaMZYBDR8fl5NxZ8+48CB672I8dlzFK/h8seFp4MWr3bzyrXSJlAyuncmk8YXev7rI9vz7590iGLhlam+xou6uzhqnqVcW7t7jkctL+YKOR604a8OhMiqoqhdd2ruqJFHaM4v3iNX62UNS6dTBqVRW5nhYzX8W7xH3iyl9ElR57uTbW+uqorun9xWd4u1LZhMjQlwKru33VDpbKcLNwJyxfG8R7S+uoTMGez7KT+mmnNxZ94whqWJsEXPl/m8WSu7PVQN3ML91Wm+XGqG5y/ZYdmIRWb4eKhlcz9+aJ97fM6OvR43qIkOVy1xzIC3vJ/zY59vI2cd+V2QTPW4KOb5XPL138QgxBkuSEzbsS8bVxP2QWGqUMQLVlpaW1m0a1vsjX1/llNaIYFvtBIIeqJpu3Lt3r2guxg3HUlMtL2DXX389HX/88XTuueeq+auhC5xNE2UmYsxNEPVJtGQG9hZVHfMgkQ1FuMmK7C5bbX1iu2ZihijP4QYfetDaCdH7wfUXG4+Ki6JHTuvfYXBtCzaa+OK3kXIr6pDFdtMghfa5yRdppS+SQq1d45V6wV+2p0jcXy4Z08Oj4JoD+al9EkTzJLXxaj+Xobl7QXbawBTx5orXfj8gHoePntbfq8E1LzhyMMn+ekIf8u9kP7usulBrEVBmVHgtT6stExwQ9m936myZa+teelUeb05mrkutZetqjqJzx66CSjFhYEzPWFF1wPcpZ/cRm4kMmvh9V301uJru9/3FlBYVSsO7d7wnWUnefFzJMZ/OLJTxnmxu6MqBoSK/u77Rdq3Iz+ee4P4LN0/JFK89nvZK4UVx+brNr2kiuFaod4Qs9U+2vm4NaLe4Jbe68P3OG+Ttb7/FxhO8d54nEbw0dwj1TlD+2r2qvsmWVJDPXWe9uZqOlNfROxcO73A0qZmo9uywa9cuOv/88ykxMZFuvfVW27/37NmTHnvsMaqpqaHLLrtMrV8PXSixPilwJpWfsGVw7GjsBc+D5NVjLoPiAJvVWFdS+SJdT0Z0j6Fbpmaq8oTRFfnE3lnTBvsxCHIMlzdWvsGJF2mFV1PHZcTR/501mJKcuDCWIzE6u9iQ950GDwOyjPhwelqF7uiOXDGuJ2m19cLbTQ1ldoE7/0eFBjnXG0KlY5QXfdGhQZ3up95ytJxe/e0ApceG0r0zskht8rHgTOaaFx6+35YngpjjsxK73Bceam0g6MxiFmdRZNZJqQtWpfBitwxqspIiKcu1XlumwXual9062anv5euWhxbsEAHlvCuVn++sNVe23505NE28Kd31nxMrzvz+zvC1jqeN7o5ZFA/0ty2sKdWYkSe4MN6T31F1wEn9klwaEekJmelXakGcFw/4OVhegyqtwHqf4ddCeX3LJfUcXHMfCQTXHnj11VfptNNOo3/84x9iFrV03333icw1B9wIrrVjK6kJCrDuubZkWo+W14kGZnJVlr/Wz24/WmvmWp+lWrzC2H6V0Vtk+Vpnc67/enwfum1ab9E1k7sK29+m4Homl0c7jM+I8yhbUadSmbQzDe7sR35c/ME6safqm6vH6a4TvhZ4sYr3DvIFjCuZO62aBnJ2/qVzhlClE2WsISrPunbUTKyjizbOkmZVRyh+7ng+LO+3PnVAsm3RSDaBKnIiuObsO3fk5Zvq99undPn9g9KixMVnpBPZPf7ZvJzlp8PgWu5R98ZeXrNQYuybO/tgX1txgPjZ5qFT1B05K3vcaDGyk7OmnIRxpamkN8hAmgNrVxbWXAqurfvq2+PXpMdmtZ1apBb7Jo32/Sv03Pi3sMqy0Gz/us0LhasOlIpGcL5A1cw1NzizD6yl8ePHU0BAABUUFIjZ1OB9cu6sDCg4w/HAiVmig2tnQQZnrnmlsNk6OogDHM58c0dFtcf66J0zmWu+nY/9fvPvP1HDr7sL6X+b88T91ZPgWq2ycFfYgiwnMtdG6zTPWXkOZFztSM0vwld8tEEErd9d43jBobM5197eGsLlq2MznBuxJc+lWp2tZeY6JixQk+PgMVxPL94jHpv2Zf2tPTu6/n1Vda37TJ0pH3Ul885jYWRJuN7mR0dbg/1vN+eKRnRjM2I1WzA2ClfHcCmBm3LN35JnWzBSk6v9ExqbmsX1mRKvaUO6RYsRV0plOfl5nRfX+iVFUmwHwaszZCDNgTVXLKZGh9imiChV2amHhTd+vectIpz0Uqo/h6e9UJxpXHfKgOQ2YxizrHPv5QQEs1MtuI6MjKR9+/YdM5OaVVRUUHl5OYWGGmNzvhk5CijmOCgl4r1x3/ILSHiwaLDy8MnZYoyKvIC7+39bxcfOZBa89YJ3oKRarMzZZ9y9Qb74yNJ5Z78fZeHukQsVnu57UqssnMeXLNtTTEGBfnTqgBSPx2PJbKf92C53LNyeT3//YYcoW3/2zMGkppeX7xMNmi4Y2Z1uO663VzqFa9nU0NXMgafnsqs9111dHMpZ7ErfVjJzziMe7XEzm8dm9neqMVOlzNap0JCt2BqMdZSZ0pK8zXjr0IvL9tGt/r19Nrj+xw876HBpDd17YlanW73kc4U3Al0tFjvPG5FOEzPjaYgTe1V57/kt8zZTdlIEfXjpKEV+Py9uKRXY/eP7HaIL/rNnDqLJvd3fVlhrl7nm5olKKu0ic8148aKitkFUIarZHJSrcV6eO1TRn2l7jVTp9adfSqToPWRPbj3lxRVP99v7dHB9wgkn0BNPPEHx8fEiUy1xtvr++++nESNGUFSUb75g6IEMKLp6UuDxCzwMnscUcXBt/4CQpUr8M/Sy+s/zIG/7arMYXeLtDtw1TmSif9tXTMv3FImmI7ZGcSgLd4vcDyVLuNzF2Q4e4SKb+imF9xc9snCn6DLaVXAtM4edddEMUqgsnH8XN7zhOchq42w1d89250Vclg67esGsVVNDnnlaWlMvqnh6dXFfau0kr845iA8PprE9Y7tcYHSlo707DYHaB/d8oXhSf+fmwtpnrtVqECTHKelJ+9JP+y7FvmbTkXI6UFLT5QIqV0p4O3Nt35xUbZyZ5Tdn2LYP6XRxUe4blo9Bd80alCqyuWpklx+fNUDc5zpbUPjLxxtoa24FPXnGQBrWLZq25VWIa4iOxh7qiRbVXb3iw0V1K5933n7qSVNWnw6uL730Uvrtt9/Evuro6GhR/l1XV0dHjhyhhIQEeu+999T61eCEiOBAGt0jhtJjw9qs1nHwxxfvZ1mz2J0FgNUaj3rpdNSVly+sOVCRZUqdBcvb8ypEV/GmlhYanh5DmfHhpn+SUYurM3M7ckJ2knhTmm3OtRMXOTKDKV/01MyUyMeGvAhTU2vw1uS10rzWVXn1Fw/sfb7hsNhT9vAp2V0G1zxOjZ9b1ZpfzA3A+M3p5m8KX4jbqg48CAxl5trZ1xeeW/3Nply6bGwP8daZGf2SaFrfBMUaICnJfusQ43JXX9XaxLHzx7IWzensg1g9ZeJkBZZSj+mP1x2mdTmlYnuHM88pXZE9ZjzdH+1qJZSr97uunrsy48NEcL2vqEps4Vi+t5juPL4PnTcynfRO7W1JhVX1FBsaSIF21xj8OwemRNKmoxVi7K/Zr3tVC66Dg4PprbfeokWLFtHy5cspPz+fwsLC6OKLL6YzzzyTYmOdn18JyuN9NK+cO6zNv23JqxDlopztsAXX7QLo3/YW0+cbjtDgtCga3cNyDrUa9aLFXpLOvDJ3qAhcoju5PexLVt0ZMwStZJZCNrPRm9aLnK4v4J3JXD82c4DYku1pUCyDTm/OuXbnRdyZ0jxHTuqfJPZ3yT1e3iIXeZKss5w742wWymvnR+HFyALrqK32DaZ4EfLX3UWipHNGdlKn93eZuXb29YUXqLhBm6yo6gpXgshqEL2NGOQ9rlOeXy6qPnw5c+1sE0eZBW2/MKEm++dPrgQKDlQvuF68q1CUP49Ij+lyG5nc6qFU4MQBJD9mORmgxcg8Zzy2cCct2JonZo9fOKo7eUOmdZvCvqJq6p8cKYLrbfmViv+eH7fl01O/7KbJvePp76e2LbV2F/dWKqpqUC0xdu2nG+lQaQ29du6wNv1wZg9JpQm94mlAqne3bGpB1aiIV/JOOukk8SY1NzfTsmXL6KOPPqIHH3yQevRQpi0/qBMMyEYasjyGL5o4u81V4HIfmJ4y1/ajrryJy1+5tNj51W7vHp8ZKZW59kYGoavMhjPZZKX2vMmFJ28EFp5kkd3NXA9OixZv3iYXeRJ01lW3qwCB75VB/n5iD6FS23tk5rr9qBr+6fd9u1UEjdz8LTEwWLHMtawYUmu8jLdw6SS/zvJtxOcj3gdnXLtarXP95F6UV15H/VWqBHHE/rman787WyjyBL923P/dNvH4/PbqsZTaZXCtbFbSNgVFodcf2dnbk+PjUXrc04QXGnjxjXc48WuMEn8zL9I9unCneN25YXJmh4vQvRMsE3Z+3F5AJ/azVL7tVqFZF/fP4MkBSnVCZ2qOXeT7a255rXj+at9hfvYQ5UbE6Z3XUo7FxcU0b948+vTTTyknJ0d0EXfUSRy04+hJWT6xhgcFtuv22mTLECh10W+EEQOKrdq6USYLjjPXnK3iVXB3G8M98dMuWrSjgK6ZkKFoSZfMIPCLDF8YyS0LHf0tEzPjvNK4SD42vJu5dr8snPcP6x3fpnJ0kjNzzTccKqODJTU0MDWK+qqQYb953ibafLScHjq5X6elnLy/d9UdUxQvabUF1+1uC/49fHHNJfFdZa6m9E4Qwbkzt6erGbH/rthPh0pr6Zzh3WhoN+8vxDgzM50Day5NdbXLvpk4uzeUmzN6m/3zOV8zqTXymIMqfv1wds6xJ8+5jlTLRS6FesMokbnOr6yjM15fLf7W5bdOtp0LJYJr3mu9YGu+SCDdOq23U9VHfP3AuMGZ0ozW+JYTcvXWxXRv9kDwueB6w4YNIkv9/fffU319PQ0aNEjMuuYZ2MnJzjU2AeV99MchemvlQVGWfMfxfToMruWetPBg/zaBdHVDs914CB2VhavcBbEj3Fjj+235Yj/RzEEdl3pHWG+rqrpGuvfbrbS/uJruOK6P0yN8oBWP3Xj9vGFiddSTrAGfOy4r5H3wSrIPXrk7f2eZ4vG94sVbV12+V+wvocmZ8WLPqJH2XLuz2MXzkXlci6vBJ6+ac0dSbng3yEsZbL7Yk8GAM7NIv950lOZvzadbpmaqElzz1ITKuqYuxyOqtU/0lmmZdObQNMpOjnB4cW0Jrju/T/SICxNvznJl1u3K/SVi758Se0jV8L/NuTQkLUq1bKhR6LnzPz92Ft0wQTzHKT1pwlHJO8ePcr+yM8+5HN/wSC77fa/u4Gs9ptwYKM/3XNum3Vj/VtvefAWu+2SD1JjQoE4XtjhjzuXg3Pn8tIHJIiCXt5WS5CKJmvcxJcnbL5QfF+3ur1xxwNN8uFkpbyvVS58CNagSFdXU1NB3330nguqtW7eKkVtcKsBNzMaNc35eKaiHAwrOtNgHoY726rSWhQe2Lb2rbxJ7cO6d0ZeS1VqydYNWnYK5JPTfP+8WF9adBdeRIZbbr7K+iSrqamhPYbUoaQLX8ROzJ/Ot1Z5zzavp/NLRYn2BjPLw6XZrbqVlrmp4kEfBNTcS4S0MGfHOBy7u4ueG8Rlxbu1/PmNwqlu/k7etPPHTbjqubwI9NXsQecPh0lrxnhtEOnPBoPbzlGxE6czFuBp4bFJHo5PkRaLS1TuuZMTknGs9dgtnZw1Lo9UHSkX/AF/G1yQcLHb2Esnne+meIpHV5ecab16we6OBGi+UsajQIKf+Nr5Gm9I7Xtx2HGAHKpS5Viq45gqt2LBAUbWj1LQbJUvhZcWUM70+/u+swaIP0cgeMZbg2sl+D66oU6HS7O1VB+m7LXmit9JFo5Xdo97Z7Vff1EznvfOH+PjXmyfqKjGnNEX/sr1799LHH39MX3/9tZhjPWrUKHr00Ufp1FNPFU3MUlPdu1gC5bWu/AV02t34nGFpNKFXnG0cTmvmuokyE8LFm96ymVzeyxev3uzg6Ww2UDbn4cUNXsVj0WHmfYIxAvnipfTKMN/3njh9gMhYK9H0TzbM8fQCgjOK/OYNvPjxwjlDyJvUnuHpSE5pjXjfw276gpYZOV78dHaf5N+/3y4uiO6bkUWpXhgjEyK7BXeR5Vm1v0Tsu+b98ylONPVyJXMtsytxOt1yoFXfAL351+kDuvwe7rnxwPztYiFpyS2TyGzK6yz3VWcqYhhf+zxz5mDFfr9ta6BCwTWPKuQ3JRfElXzOd6WRJl8X84ha2a2ey6GVqBZQO7guq2kU25LkuEslyefWWAcLT7zwwz00OGnHCamIePNe+yr6l1177bUiS33llVfSrFmz0KxMx+QFiFztb1NO1Nxia27DF1v2F1ytTWP0uWeYXwCunpjh9d/bGlx3HsxnJUXSl1eOEYsAs15f5dKLJhxrZ34l/bSzQFx8nz2sm0er4GqUXTk74uvV3/bTh2sP0bkj0unmqZm6CRq1wuV9ewurKTY8yKnASutRXNz5umdcmNPVD2o3NpTPz2F2z+8dWXmgVFxkcSVTqgLxHF+cfrc1j9KiQ2i6g/u/s5nrN1cdFCNb/jVrAKU4UanB+/t4ikVGF6XknOmUmX29Zq7BebLXgRavo68s30d5lfV05bie4vGvhopay32Vrxm0IIM7rapgnHnNVvI535Z5daEqISIkkG4/rrcqt1GtCsF1iHWhXo1ridIaS8De0eIEL0hU1deI2fQZ8fpKzilJ0UdrYmKiKAP/448/KCIigmbOnClmWoP+ONrHERkcQE+eMdDWQdYR+eTBAfiOvEqxqsrD4dt3hfU1zoxSYnzb8j5C7gbL/4e3RCboNHtiBHuKqujtVTk0Ij3a/eDaugouM2pa4GPgF1Gutuhy/7KXO+Fr4XBZLV38wTqxyv3rza5lo5SaB+4KXgRwpW+C2mXhtl4ZLuzRVKq7MO+p45nT3ToKrp3MXHN1j/1Wmq6M6xUn3py9eOZtG3qadAGeZRpjvDjjWvplVyHtL66h0welqBdcWzPXzjQzaz/2jnnaEI/3lfNzg1L7/8trGyinpEb8PE42uKNOvmZbjyktJpRGdo/pcmHNGTIL7cr9iRNRao0A40XKASmRLi8yazXnmrednTYwucNzy8E1Z831OkJVl8E177H+/fff6fPPP6ennnqKnnzySZoyZQrNmTOHmpr0men0VY4CCi5lOaFdgxduolRa0yj2yfBsPJ5b+vttk8X38kiVn3YW0p3H91G0y7Kn9hZViSeNvokRXptj2uBik6jteZZ5iLwwYZQukHoku1HKC2a9Za5X7Cum4up6sRcwsZMFKFvlQyfHoFQn/L8t2C6O67Zpvel0N/c1O2tPYRX95eMNIuvy7TXjVJ9xrVVw7c1Gb13hskS5ACMrjToTrnA1UkdjuKTLxvagM4em0qC0KKeCa6UzdrIUkrvQm7mhjhlwjwnuxDy1b4LYH+oIZ8C0qkLwRjXRsG4x9LeTsl16LpzzxmqxQPnexSM8nkAhOvwreI3CvQTu+26b6Lb93/OGufUz5O0tn0d5FJYch+Upnj6iZaVAe38ZnyHe1LjfKtEArr0xPePEW0dkMqnI+hpvVoree/hBOHHiRPFWUlJC33zzjRi/deutt4qv837ss88+m7Ky1JuxBi6WhXcRUHyy7ghtOlpO/z5joAiu+RwHWkufbd3CncwseMulH6wXwfU3V40Vq2jeIMs7nVnd5RLgN1ceFB/ziiS4LzrEcsFRUed+YJCdFCkaa3B3UKW9uGwf7SqoohfOHuxUcN1Z6ZdSQaPsju6NRnrcrZqfJ1zNnrhTmufq+B4lvbs6RzTpObFfslN7E9W8KOctPWN6xopg2angWvbRsD6fe0rOneeFWEcmZXbeFb/9Ra4S/QraNzPje4ieGnGCYwdLa0SDwu6xHb+OF8vFEg3G/qi5SOZu13wmhwTIDK+eKDGKi7cqzhqUokimur2bp/YWC4CuJma251WI1y1ezPBGoztPqL0tqTNy9jUy126Ki4ujyy+/XLzxOC7OZvOM67fffpv69OlDp5xyCl111VUUHm7emns9650QLkbWyEZl9mVOlbWNNK1vgiiLqW7ouFOkHkdxyRc8Dq69mblyZbzRFxuO2EqJ0LTGM7JUzpP5ko/N6rppjrtCnSy/kvfVzl7QlRoz5+wWBiW0lrI3uxVcu3OR4u296Xx78iIKO64vV/50HdBO6h0vyvzUWPzjLNPLc4c6/f0yc61UcG3L/HiwB5ZLWqusC2bOBtdcanrD53+K+9wXV47p8Pum9kmg326bbPv5oF9yoayz50/Z+Z2nKHibmuW1nnA0+cUdvH2Np6Bwlcd9JyqTFAtzcltIZ3g2vVrz6fn5w51tjn//YYeY/vLiOUM0mbvuCiVHlzlavA8K8O8wUSAfp0VVlvGVZuWVqGj48OHi7f7776cFCxaIQPull16i2bNnU0aG95tPAdGNUzLFW3v/+WW3KOvrlzxSBNey66z93rR/Ldol5rruLqhStIukUrRo/DQ8PZqenjPIqf2B3PyCm7C8dt4w1V4gfIVsYsNlsLwSrrcSe1sH/i4uJJxZnJmenUjje8W1aULo2RYG9Uti7ffzutK935OycK6wueuEvhSjUIOjQ6U19NOOAjF60NHoN74AlX+rs02VeDsIv+mB/QQIJdj2Snew6MpbBfg25fPUJ9HxuC7OusucirP7ov39iXIr6pza3sEXf7Hhxpgb68uceS3nbTeMA0AzXmtsOlIuuuZnJUZ0Wv1kz9HkF3dw5+dfdxeJJIxSwbUao/h+319MDy34//bOA0yq6vz/L8v2XthlKcsuHZbeO4INu2KLscWu2DUm0RjTTPIz5a+xG5OoMVYs2GOviAIigoD0trDALtt7/z/fs3Nm7w5Tbr93Z97P88yzZXZn7txz7znnbd93i2j5qMWxaCaJMdGmOiklN7+6gXaV1dGvFo0Imm6tBayNA9Lida2vofjFG5to1d5K+v1JI+nE0Ue2pYVS/DVz8g2XK7gdW0OOEDk755xzxGPr1q0sduZCuibltm7RaWV64de7y6m4uqmbEJqbcCItFJ5Otd7O1LhoKla0LGCMGQZIgUNXM0TM3Gdc99YUuQ5m8OKzmfH57IxcK50FcIBIldJQVBqIXGMjeO4kfeJ2vsAhgM3C1tI6MTe+dsV0b52/5FBN51yISHRPrOGVxrVZ0bdQEedl6w/Qi2uL6dIZeXTtXP/K+HKDittBrUqushWXnW0YGWfTrn80aYAogxjjQOsyO9LCn1i5l5bvLKc7jxtOZ6hsodjl1DRm6Mn70EzhP7Wt+IKBuQrZLVhfUHqEEiesGSh3Msojy3dRQ0s7nTe5Pw1IU592Ls+R2cY1AlnYb8vWrWZ1MVHbyUQroTJax/VPFY9wxzHX7YgRIyg5metNnQCTUiBVYl/lWBnNUE6uvr1Tk1yWFu7WVC1Jgac3+LbSTlEzRj+o5ZXCI3oWVmyKjnvkKzr18ZVU12x8YQ5YXxbiWhyclSQUz7NNVAQNRItH7Eqt+J4RlIaRlg2oW0RlvimqFIa1nE9eXddZ0qFkf2Wj+JqrYewO1zaJaDgiLmaD9lXHPryClixdp+rv0d/661vm0YVTzVG7RZQNBMriUaNODsP8jyePojuPH6HaSFZmdAR7bWRn/fqdzd7MK8a9qGmxhI366eP6CQFTx2pXLezgUK2j1Zjechxf6rwt/cwzrmXk2oiA4tOri2j+A1+KlHUzP68U0Xvh2/2a9xMJJmcAHdnn2l2BA7O6PIQr7rKKGFtYvbeSbntto/D23rt4bMBIG9JH5UZcmfrt297FbYJmViohBgKGMoSrILARyoMuWyr8Y8UeunTGIOF5ZfTz2LkTxMZai3EjQYaGjJLKmmYzURtBCNTbWglSaZ9fs1/Usl4zp8AWfQCjQFdAZhbgHKSoXHLmDskUYmZ6PNy479cXV4uvMwvUiWcFYt3+6m4/43V92VlWL74O9jjN1LC5pFYo5hbmptAsg8foC5xEKDuREYRQmJ3BcOWsfDp1TC4VZCXoNq6xmT9+VI6m95WRa+nMCpTlgZTFXWX1dOpYpCzab5Ax4aP8/7NjhtFPjx5qaYChplG7hoFZ7fVkWaCZpX+yXAT3KDoboPOMVryZXp7PaVYnDSOOXbOFIY80rntGGUttiMh1e0eHmH8hfIkUcewRwhE2riOQTQdrxMTmb1JTTsrKSUJpUEsv5oT+qUIcJtUClWVzItf2KSF+vqOMHvtyj6fFTHCDYGxuV60JG9bGGZadZHjhwvyuZ5G3s4cwygiWflcsRLCMGNeoS8PGwYjglFoQdZycly5/UP1/6I/sr0ey2rTka5auF98jImvkHsPif+HUNvEaUARHC72VeyrE9+dPGUBzh2TRrvI6r0ikWszcDPqClEazo01aQB11oFpqM8WWfMEYoaxC6i9QgJKCOs/mOcllGVfMkUgHYGt74Gvls+2HKToqiqbkpdleFmSHKnS153qVnTHUgHpWOFH1CHNZnRaeHB8tSkKwBunNdPZ1EJsl9gljX86fWo3rJK8wpLkZcFaUcW05VEt/eH+rUO6+zyfAZpQ6FZHrC55eQ4jbvX3VDMqxIVvPCXh1iUC+3Vclvk7xI86jrLnGhPqv8yYINU6l4QFBLrBodA6dM9Gc2kYzObmwL00flE55Gfa04epeMxt6AoQS+9Wz82lkDpdFOI3VXuHTxubS1Lx0Qw6AI1IkDRol95xaSHbyqM0CM8pNCKLXvaP0bwzRixUPnHNspOHYuGXZBpHRs6aokt66agbtPCwj1+rH2KzNoBnRptV7K+jVdQdpZE4SXTJjELkhGolOFnACY+OlpaMCjKvmttag9Zy1GlXIGedYOLxPSAfZL9/6QThU3rhyOvVzmeaGGXj7vWtwhl4205z72Iq0cEQqA2ktqMVXo8SsDAcZtdYzP8j5Vm3GkFpk1psaoUa1YN1B9lT/RnMNWzgnZAlccgDnJUr50DYPwsnoUc/GNRM2bC3prPUdPyA1aJsEGNQTBhxpgEsV3ipPOq3bONsBg9/b51qFcY1o3hWzWCXfLD7bXiZ6sc/IT9espml1/TEMAzXGwcXPfCuEse49Y0zAzAfvBsLGcgen2F1WLz5vTnKs5owCpSgczpWeaBbG4osdZaK/LlLLcSyoSUarQnnNIOqyak8l/feiyfTdvipNzjIrdSHqNW6ID1Y30YdbS0XbxUsMvjccDki7HpgWLwwjfxtUNdkc3+2vprve2UxTB6Vrcs4gKwPRtkBJEhAFkucn0msCewKhsk4wnrIeO8GBmlT04P5yZ7noFqK1jEENSKGV90mCwS4RbkkLNwNv5NqbFm6OiK2ss0ZgSWvG05zBmcIBO6qveUETaCNZEQDwrj8mawXIlPBQ2Q5ZiZ3Gteh1faSgeFjArtsIRKb6+BPIgELi8SOzg04QMhUKqdCIwg7P5gist71RD6mLCSdW7CqnV9cfENFArca1b+2WUyDlW/RrDZI6HetR2nZr/aGZXL10nTgfz188RXPUv7eizlvvudpSUkt//mg7je6b3K1ue93+zqwfyRc7y+jkMX1pwXD0t3ZHLakUCvLVxrBa5RbnRqbjA0T8/RrXXhGowJ+9XuNnUOovBEP5GQNFVpieg1IUy2iLQj0gu+Kl74qFEWyFca2cH5xYo5C+jfIXE4WqvZkpZXXNQo07XUc7KOlQkQYnjH/M1UYj7N4sAR1ZLWjT6K9VoxHwMSHUBwNbqSlhlDgLdYlOHJ0jnBzBnOJIR6cS9LrubKMXjvDqEmHAE9YYRH1w8kBPfSQRbTxYQxsPVIuIjDKCffnMQaK+6YZXNtCdb22mpZdOJTdRUd8sBH3S42N0Tdx6aLJRJIrpjkyXk7Vpbho3iJAhUwTtofxlgUikxz2YqJoZqcTYBJ742Nei5vfZizp72VsNVKuhuP2X0wpFDbPViqPIDMF4Yp4LZsAFA2IrAOOm5Mb5Q+iE0Tmi9vpPH2wTbbn0tH2yNC1cRq5VRpsSTEpnfGdTSbefA6VVju2XQrcfO4z6pcaHNILNjphJJXNkNzjtUGPUzZ+PLN8tHEBQjvdF1NZ7NDOcEHzyOooscnjCUYj+0jCytahFQxPiX1/tEWVJEF3TC+Y1K+rYf/vuFlpTVCU6AuhxSking9SuQI/zpy+cbPi45B7CDj0StSn0z148xfTXtSpzCoG33580KuTfIXKtXGfDEXdcQYxtKFtahKrhWLGznB7/ag+dMS63m2GAyVamQbstXQjc/9lOentTCd04fzBdNC3Plvd0SwQ0EkHfcFDTqL1MAZvsUTnJlA1PqgWs2FVBf/14Ox09vI8q41qmt/k9Vs+1hShCa3uHLpVNXKciQo7JP8h7mQmMNqTbqe1rimOU85TeulicKxjXzTpFDcuQrgYPu49xjc0uxILwgAGIcdPTT9msNEZ/4JihQo76cDXI6LDRyPV3iqj+SYU53vIhX/IzE8VDTTqqmUJKanpwM+4C1+QHW0qPcHL5E+9zoq+51W0/YTyeqbK3tb8gitltoczCSPtMgC4SGO5B6er7UKthWl46vXP1DG/pjxbgEIYKdlRULxqjEK11I7J0CmutHuewUbI8+y02rpmwAZErKHzD4+vPuC6qaBApkTA2IDYAID7gi+wJbPbmp6f2ufamhXPk2nagPqp3oR7VN0XUzFqFTFUMdS1K50yw6Ivy2sLfR+u495SbBruu1a5esO2aootAb5pfV39cfXNAaV2T+BrM6XKBgb7Q8PDftWiEJe3fzp00QDzUkuRJjzbSd1YpBvTMhZNppMG6QxlF1zr+6GGNciWo6Z9UeGQxH0oMvrp5rtcoY9xNqPIJec3arRLu9lZhcZ7zYXQP9N/VRbSjrJ5OH5sryjzMNq6VAmJagP6FFSCVWa/COnRfbnxlg9B9eM6CaLMV122HR7fALEc79sEdHaGDTNJpzWnhTNiAzcr/O2NMwOdRQ3jfpztp0ahsb/Qoyye1+kB1I/3mf1u6KYdHep/rH08ZSAuG9TFVzILRGLnWuVBbSbyKPtfwHMt7LdiiBMN72eXTxPWtt75QGrhYSu3qL6l1AyrVnPWIyihLV2BY+0ae1XI4QOTaLGAMIGXTDSTERpmSFv7GlTNExDlUOjoiPKhVhWosBMv8AXE1PZlRcLAdqG4KumnDBjqFnaA9AulsDOQk85ZAOFBvrVY/wAgIYmworhH31Pj+qba3gPx6d4UQKET3lUlkonFtwCEeiLOeWC3msP9eOMlwCzI9yAwgo05K32DXja9+L9ahf5430bTXxR4iIyFGrM0twrg253WRZQLbYPbgDLr/zHEB/w5tfJfMKRCOiHDFfZYR4ygyUgDP/p7yzhYzA31Sb5TRLzemhXsjZTb2ucbCp2XxY8jVC7VZqNnkqI0mI3XL9140Ur5gVypY1zlQt+moNyErxmjHgMqGzmNI99SGhTNJMdHea1RvuQHA/6mpVUQd7XUvfy+U4N++embwmmuNEUkZEZM1+0zPRtl+0F/6KubDu44f4Vg5ltWR632VjXT9K53G1f+u8X+v6HXqalF/NruMQr6e3lIUtHyC41V5PcAhijR4Iw4FGIfri6uFcThLIWSpBrkXNlpe4+tcwTVg9vUF5+77184is5GO8fgQ1vqInGTxCGfYuGa6ITczqIXYW9EgvveNxuamxImNUUltM43r577aErng2Rm5ZpxDqt7riVx/uKWUHvxiF83MzxDCMWbT1Tc+8LXY1tFB4/qliuiM1ana3hYmNkbuuoxrdc4ur1K0g467mqaWblkRVqncYyM4qyDD1LTWn762kbaV1tLtxw6n2YNDbxBTE6Lpk+tnC8eq3kwBs8t2zpzQjybnpWteX2SJSI1nk+fLyt0V9NamQ+J1taTOM84g5ynMHHD8+GpSoBb7tHHOZYAYLT+xSsvFrMi11DExex6UjlNZXqiVC5/5lnYcrqdHzhnn7RAiro0WY2Oxem8FLVt/UOhFuMG4tqINl5XI8UzmNodsXEcaUP++8sV1lJ+RSM//5Mi6EJnSh7Q9ACMaSoxKMNG/ctk0ESl0YwN4rTWeZvD17nKqb2kX6S6BxFcYaxicmUhPXzjJb2u5UFQ3tlBxVSOVe/QFzEYqvAbb5MCoeeJ8dSlfUICFEv7F0wbqSn1zQnhP6wa0T1KcqKnTM56S3eX1VNXQQoMyEihDR/T5V8ePEKnFaINiFT9/Y5O4Ll6/Yjr1TzPPuC6tbRKp0ah9UwPSs41GpnD//L+Pd4ha8lDqxGo2/uhaoexcYVYt567yenr3hxJRZ8jGtftRzlO4XqQ6tFuYNihdlOoYbQFlpIuElca1zAYzWz3bqIiizPZSOom9JQQGPnON/Lw65kP5meBIx/xihqMyWGcfNyIj18kqzt+Ow3Ui22DCgFTHNBOshCPXEQZuVkxMre3+JyDfNLxAIha4Gdx6QzghMvLA57toW2kdPXjWWMpK0ubxZIyB6xDqzXpo8rNIm4msjZYtY4yybP0BkTFycmGOLuM62qOOnpZg39Sfl5Eg1FNR46UGGMQ3HTXE0Hve8+E20erlT6eMpuNGZmv+/2DK7maBzSA2v2bPU3LDKmup7erT/v6WUjHGIY1rhbPFbKXaZI9zOFBaOHd16FlIVeNAzrn9VQ20p7yBclPjaEiW/fWbiFYmxpqrWK2kSaczFAGRSQNSQ6ryBwP3pryPjDg6/YFsyMtm5OkeM3lelM4WM4RspVNOjzNB6WBpbG3zCkW6NXKNDCc4kO8+aZRYo02NXMeG/uxXvrBOnO+XLplKBVn6r1O3wsZ1hCE9YYFqImTkGhHre04t1C2c5CSj+ybTeZMHUGGufTUdvGnrmVg9bujl+8vjhpu2OTG6gcBmxkp1dH9cOStfPOxEbrrcpuJrR0qpFCaTtdRqeOiLXSKD4+rZ+bo25HITnqQiHVBGYWRLOX/t55C+DdU9OGW0RNXlpjiQcS2zmaxQaWfMB44XlCzAuPCnBfDZ9i4B1j+cPDrshkBvFxK04nvcoAAW5hEpB6InkhuqSwceZq7bcs7X00briEi9js+rNIDRdtKMBEYrjevNh2qEo17ZncMoWtaBlPhoYVzL3uLhBhvXEUaTJ4IW6GZVpragl2BPZEpeunjYid70Lcac9nJPrSwS4i2XzBikKUVPTQssIyBNdnGIPqU7y+ro+pe/p74pcfTk+ZOC/q0ZGwi3g3Ru1F3DIZGk0/tvRMUXG4T3NpeIsTtmhPaot+ZeoyYa14g2odQBaMlOQPsq9GhdPD5Xl3HtNehVjJeaVN/fv7dFbPyg/KtlE46IHTIfcC/5g52gPY9gzhWna1IR+XtuzX6REQT1Y7Pp+nz29/CWUVw4v9xW8+tvv2WGcruRSD0cQdfOLRBOILPOlxSks8L5b0WGp1wHklWsA6jjL1ak4ocbbFxHGF01HP5vVvR1hfqmGs8TEzxNibEHbDv+sWK3iISdM7G/JuO6yQX9yaHMX1rbrEql2erWL27g5XXF9NiXe+iMcbl05/EjjIka6tg4HKppons+3C5EbSw1rk2qi1Qi0sw9jpfUeHVp+EqBIb01kF3GdW9Nqb44Xn/VDfL1EjU6V1DGBD2QkJtylxkLjD68zhKH5m9cp0+vLhICTlYY114BSgeuVwjXfnHjHGFwmt1ZAhF5ZMrg8w3PTtZ9XpRZL/mZCcLRLpXSjUSu9WpQXDpjEJkJsnzy0uMDOgvdljk1tl+K2I8NSI9X3+XFIx4abrBxHWHIjVygemlMKk6qb5q14FY2tBDWA7v6HXoFNnjTZjtY+LFZhpEaTJU7aNqdReMGYRMokOK+mzMky68B3azBMWPU2/zFjjL6f5/soIkDUum3J44iO3h1XTE9sbKIjh7eh25dODTk39c3txtWCzcSFfaK2phcZxhoc2NmVwOI3QFcZ1p6/0qHlFRq10qdTAdUMWa4X29ZMISio6L8OsIQfZe9YhNNLkvyRgLZCdpjePDznSKL4apZ+UfUhkpHkmOtuOQ8Y1H5CbREbj5qiKgp1wK6vVzw9Bqx/nx43Wxd74371CptHQgunv3kN2K++PSGOZr+Fwa03G8pnWRGywKsrDHXC/RC9GiGqKFLAM68LLjLZ+Zr7/LSyJFrJgIi1+HA13sqhFgD6vWeuiB4mq1ZcETEWWCowLjWakylxceINNLMRPVRPq0L9g2vbBDff3TdLL/RRC2p6XIzp9cgQ6rf/qpGyjPYL1vrnINosFpFdtnnWmuPY7OiwrIGzOw6w8DHaN7mBkKVmPfgWNQSbTIauZYppGojPudPGRj0ekEWip7IdSg4Lbzn8en2MtEW9Kzx/fwY185Grr0GSluH6eJ8YGifJPHQCpxr5fWdEUEjveutQjrN4ETTet7a2zvoqKFZYuzNNvzfvGqGiF7r6TABcJ2ifdmgjETLnbOm6ZI4lAWX4lkrZLZAuOHu0WdMJzsplqbmpdHQPuGnzmdlLWMwsDhwWriz6G09ctnMQeJhFdG9owiXIxztEDlJ9ZMtpWWDaDSVWK/6rFkbUDV4o5aGItf6o8LSk2519OKiaXmivnx4tnkqxwPSEnQ5FOUmFQ4qvWrhIMMEJ5U08DGLaxXUROTpihe+E/fay5dNO8Ko+MWxw4USPWcY9RyCpa867SxRvi/mNydqo/2hTI1G3W60DifVG98fpNVFlUIsbu6QLFOPTzrN4ETDmqTFSMaa+rczxpDZwMBHpqORbMdfvf0D/XColv6+eCzNGeLurjFW1Fy3trWL8dEUuWZBMyYcOHZktniEM3a34oLJ8NsTRorF3+poF+MfM3pcWgXqppBuG8gg7jKuQ2/MfnHMcPH3fXRKkTpRo+jdHKscm656W/3GNTY2MPQm6mip5W3HEmdNNoMEafLhcv/cMH8wXTIjT/Xfby2pFecZjgXfbA5vK7GY3qIHtxZgTO84XB/QqMDnDOesrbBez/0Y106rvyvfF9eb2dcW6pIhmgYtnFx/nlmVooF6louvdpfTh1sP0/A+SaYb13Ca9fLsnTDfmxGBfuCznfTJ9sN0yfQ8On1ccBFRq50aaMVlBk+vKqJ3N5cI/ZFzJw0gM8FeFQauWckWCDLNuX+5mIPfuHIGZYW46GYVZIpMp3H9eqZwcijYEmDCDmUfVTvABvDkMX1teS8meHsfrTXXdoCNRDDjWks0uX+a+g1WcIGcXg5kFbRpilxrEabzt3DjoYeumuvIEXWM1zhG/qI+WgTU7npnM+0sq6dHzhlH0wZl+DWu9ThXcK3JTXuDSe1wGGcJVtd80ugcGpWTTBMGOLNB7x3Vy3u9qc3M0cKy9QfoqVVF9OPJA1TpVSj3JLgXsLYgi0MPiMDKntRmg+PD/I51Efe7GS3KKxpaaF9lI1U26Esz3l1WT6+sPyBKps6d1F/Xa8TJbjs6z7kvB6obaVtpnTfF30z+clqhqa+HsUQmAu6DJBVz99RB6eIRrrBxzYQdXbUk4duuiDEnW+FPH2ylDQdqhNLrvKHmeufVGpdYiIb1SRIpvVbjRI2ifC+1tcVe48oCIR1tNdfWRq7R+qqkpokGZsSbNvbPf7ufnl+zj04u7EtXa1AvXjK3gK6anW/IoWFWGUdOSizdcdxwAyJMHnFDP+Js/1lVJKKBZ47vRyMtMBoYC+cPP87y6fkZ4uEUuN6w9giVfgscu0bUwqVxraeECKJhB6sbxfcFOlrzaXE6a43y7i6vp/P+s0Zkb7111QzTsm+2H66jF77dTxP6p+o2rs2OXDvdak4LdU1tXodTXA84Xqth4zrCuOfDbfThllK6anaB7gnE7didFo5N3Kq9lWJidXKhj2TQPq6lvV2zUFdRZadnWK+QkxrkQhMoqn7UsD7ioYYvd5XT+v1VouXQTB2RWav7emtN6/THwuF9aFh2Eg30ES/SAmqZIaKG6OdAjdcEej1PGpCq+f+08p9Ve+ntTSV04/zBov7aDEprmoQSr1bV7ySDwmF3v7dFODWvmJWvqmQhmHENMSEYv3qJj+7tMa6PfO3PtpfR9weqafbgDDauewh2r+dagcYBUmFzks1Pk/BmNakoGfIF+5FqndkoEJmSsQkzdBT8odcYxt9DBR1CbWqdMGooqW0SX420vUowqF3Rk43rWo8QaXJsb1UCddDHKKpsEPeOnnZsboeN6wgDKY9o19LWEb5R3S4BJXsWY7QJgTq5nrYSjDnAGNODHYI4Zqasr9xdIaKTP+kgXcZ1qkcdPVQ9lJmgrmtwZiINUJnSboah+d7mUvrrx9vpmBF96J5TtaW/DclKEg+rsaLPtVRehQq+XSDK9fbGQ2IzfpnKPq96BQjVgBZkFQ3+o0dO9g1mzBdE/OFQDTW1tFNBViKlJ9h3zStB1pFVGNHIQBuv3NQW1QJTSio9acjo362mRaQeFo/vJ5zamRrXIm9nFh+HgzxOvZ004IwFOQaMaynA6C9rxlDrXAvmq5e+K6aPtx2mE0flmNJ+t9YTuU5SqTu0rriabn51gyjr+O9FkyncYOM6woiEVlzJsdF0+rhcSyYkt0QDGXOww7i+eNpAId40JMt4ep3RDcQFUweKh52M7ZdKSy+daut7StVeK4w3d/e5btGldL6mqJLe/aGERuQk0zkTtWU0YYMs7Z40lQZOV6lAu992Nqg1hDNGT/aArHuUtftOC/oxxvjlccPp9mOH+63j/OtHO0Qmwl9PK6QFLhIINAsjziAjitqoXwYZFjosLlXpiFN7TozO+SjRMWxcm6z90hW5Nr9cZ19lA32zt1K0bjSDOkXkWpvOh3vXaCOwcR1hyBQhuwxPJ0B/wV8dP8K295OTvVUeXiY0K3aVi/TuKXlpwphTixalbr0cPyon6PPPrdlHr6w7QKeM6Rtyw9ETjEajoNYP6dxQM9XbN1ZuvPQYrh9sKRXKpyjxsDIaprUWXUvkWqtxvae8nl77/qDoH6vVuJZGLGrt1N5HcrPoLyX07U2H6Imv94rj+Pkxw0grMMqRNupPadyrLh3G61+4EUwoT97fMQ6O5yvrioVhdurYXNNLSWS03u7rVXZMSE9wnyKgnDN891tau1L4ZnRCGR30NZDeP6MgQziBJg7U3qUi2H7divH3ahOZtJeQkWsogFshdNrTYOM6wpB1aOFsXNsNR66dBwbRWxsP0fXzBus0rp27H9BqBdG6Sk+0IBhGNhA9AfTJPPWfq8T3H147S3Uk1MzzdN+nO6i0tpmevnCStca1BeUretPCpbGrp16xq3VWlGpnSJwnfdKfk6hLrV3f9uS+xWMDPseR6/DC6VZcAI5ROHahg2G6cR3AkLSa+UOz6Ktb5pmW3uyP8vpmIYKFmm61BpnSGelrcOJ1BqbHa5qzt5TU0l1v/SDGTzLAwBjOGZwpHmY6ljITYygprrfru+ogy2HukEwaqrJMItbz/m7s8GIGbFxHGFammbgJiCXgs2KiRUTFjgWeUw2dw4g4itVp4YgKQiwFitD+WmlpES0xapD9v092iFSwy2YOouNs6nd/uK6Zrn1pvYgGv3TptKB/qxTiMtLnukvcRntU2C61cit6s1fLtPAEbUu7kRpoGbnWcr6OGd5H1OFPzksL/Bk0bLh7kjON0can2w7TV7srRNse3znLjvlbtSPPgu4kJxXm0Jh+KaIuVSt/eG8rrdhdTjfOH0InjA6ePeUPCE1pMXq18ut3NtPKPZX0uxNH0kmF6luZtgS4h9HbWmt/6+tfWk+Ha5vF94tGdV5bI3Tqt1iBkdR+u4UCtbbWiuO0cCac8AokeCIH4crxj35FLW0d9OaV0yk31Vhv4FB4U9MsTC1mVE7UGo1OCHthS5RgobPpyVVFQvDphnmD6eLpeYY2/EY3cmhDhJYjcD7ZBXxbaDsFYGAHi25Kwxb3kpFojZG0cK9gjsUbdqPqtv5A5AzHrTXibmSjIx0iWtp4oe1doNZ3MiUVZQFmo6WnPOMONh2qoVfXHxBzgq9x3WVo9QpLNfNQJUXBwH2EDBx5P4WL5kRaQjRNH5SuW8RUgrWovK7TsL5o6kDRjtBohgDWVTjS8dms7jZhFLlftUv41xc2rpmwAikbMKy11uT1NDC5tbS12dLrmtPCnSeYQFIwnr7QepXKUMIdWlJVjW7knLhWle+F+1HWjftDtjAxGjXWez1A+RpOOfEaFp8jRG1vPmoIDeljXh/Zf/xogkHlcu1poN4xM5BpYGZaOOq1P9xaSudO7E9n+LT0euPK6eKayE7WL1rE2Iu3NtSPEeAGZ4nZ6bWmt4DUkdqNOvJvi6qEcX/UMP9OMKN0zTna9mjTBmWIh1FgWMtuXmYY1uCTbYfp9+9tFa3+7j9zHLkZs41brJ3+dC5Cib+hpRo0MqzOMLWb8LawmCP4v1NHR8RZwcRR19xmS20qFHZ/ccwwURvDOENXf0n3iWN09bn2f2zSAaRmgzhvSKaoBdbrHHOihEFZDwnjLZhhX+9RHNUSBfVHbmocXTwtj7KStN2TyvnC6nOEVjl4uAHpANIzX87Mz6CPrpt1RN/ZUPWWaH2D6LRvhAfzNvCnDq0GRI5QQylb6yjJTHSfQBOj0nj1c216HWEOpvnLCKAVIpM7DteJzKqBafEUr3FOlNmJeo7r++Jqen9LKY0U6egWGdcmOyVQ7gS9jCF9kujuk0aF/PsDVY3iK/ZtZtW0m13qs+Sl9UKHBJ/H7AxMnH9cu1oM4mDAqfDhllKhe3Pe5AEh/x7O2Mtm5Il9Tzg2Bmbjmok4b7fZYHN49kR3pwCFO+jHCepcmAIXykOspW4wIzFWPIyXMNi3GYVHGk5p2F6hNh0yxdhoFLRfajzdMH+w5v+Tm/VIU5Q2EsXA+AZTdPbHWxsO0YNf7KKTx/Sl354w0tS0/GB9kZmeR2yQ8bx6Tr4QaXWqx7VV2gmS217fSPsqG+nfP55I4/urF+pUOihlqY0WtOiAOFG64w84r7eW1qmOgErjuq+B1ltWd4CAkwNjocFvqRqo2+NhFth74VhRq692/JfM1b5G9xTCxrj+7LPPqKWlu9ruiBEjaNAgfb30mJ6NlQse4z6SYqO7tYNQA9LlrnhhnVgQHzlnnObIgFm9L9MTY4TQmRUCToE3TfalYKHGGucYnz9UfbFXTMykFGOtyOPD2VG7STCS/ryrvF7Ui44yIYK9u6yebl62QUTtHzt3guZyIehTWHUPBDTmPSnlSi6fOYgqG1pFSy0zI2Koh3xk+W7x3jcdNUTXazP2E6wU5vwpA8lprFD9P6KMR4czVDoc1HSh8KXRDuNabynXqiJ6alURnTq2L92yYOgRr6d2HA5WNZhuXHd1QTCeQYeacDucHGZR61m7rRTB60mExVmora2lq6++mmbPnk3x8V0L8tlnn83GtQKkl5z8+Epxoz538ZSwvgmsEAsKxP6qBjpQ1UQ5KXE0KIMj2E4wIz+dHj1nPPXR0KMSCxdacYBoCyO5oaKCWnqyowf0e5tLhfGptR+xk61dcA6EcR1iI4V76PRxudTfYAocUpRxrhCJHpylvqY5ObY3/d8po6mlvV13j221rCuuoluWbaTRfZNNqf2HcNH+qkaxKdMKrge9aYefbS+jL3eV0dS8dNUCTMFqvE8Zk2uJMQbj+qXvitm47mHE2biW6+GKmfkiDdZMI00i58sYHc5QaVxX6DCuvUadhcK3etsl1rW0ibmu1SeToUsgTd38d970QTS5Xwo1m1hKZmaqu3Kt7AnGtcwa1FLOU1TRIEr5sG+2y7FrF2FhXW3fvl1shB599FGKi2OhkkBgc1te3+LI5tqpOiizUo6C8f7mUhEROX1sLv1qkXpDiTGPPslx4qEFuQDiUrEySmlm+hvqSB/6YhflpcfrMq5RX4bUa7sjwyidSFORso8a5F8dbzyKW9XQQov/vVp8v+rWeaoNZSzwx9rUokzrZjAUsqbf7k3KxoPVtGz9QfF51BrXXanb7bYZY17xqzBf+yJlLUewYHNJrdjLoH2S1c6wQORZ6FA30joOGSxDshIpV4fR7+0qY2EXjYkDUqmlrb/mdPdAZVRdDjt1cwquG2SMtZqY3RhKvFQLyteQr2t2PT/2rdgT3KnBwR8IqZWhJWh3xQvfCZvkuYsn0/Bs7e3m3ExYGNfbtm2jgQMHsmGt8mbt5XDrCjtAM3sIW/RJsl7ApisaGN7nNNzwblws9gpj83Dj/MGUn2lcFVrrBsKXx8+bSE7w1AWTbH0/LQrlTmG2oI9U7dYjBoc57OHlu8R19dOFQzU5X/Wk8gfahCLq/u2+KjF+6O2rJ6MkUORanmeep3sWc4dkiZIF3+saEdlLn/tOOEe/vnU+hSNGujvMKsikWZdk6npfO9KRFwzvIx5a6equ0cu2lmh2rc9K5GsI578FDkFk8ny+o4wGppsjlCbbe0r9G7udEW4jLIzrrVu30tChQ6m4uJh27dpFAwYMoIKCAqcPy3XIyAYmAKe8vHZx1eyCsDPSmOAb/Hc2HRIpRhdNO7KXtD+aPaIjVkeyoLjaqbrqn5++tpFKa5vozuNG0Mi+yZb2uXY7UJHGZ0RqmZE5SjmmiHip3SRW1DfTmqIqocY+Pd94uxe7NmLKljtSJVgrz63ZL75C7VWLcQ1BKa1GfaDPjpYs1yxdL76HAnmqjnsTmzv0r/dNT+SWiT0TOG38OW7c0IYLrC+uprX7qkTf5TmD9Rmz/hAtijzTvN3ZFrJcw43pyIH2W1qdla9/t5/W7Cyj2QUZNCUv3ZRjw7xz/pQBprS67RJ27N0jdIm6ujyo/+xmr4FuImwi15s2bRJ115mZmbR+/XqaM2cO/e1vf+tWg62FaBdOKkp6eyYS+VUNUsAQ3iK3f76eRItHyjEhtrdp51XP+EYybc2t9OePtovvL5yep8o4aPM0gIh14H5Qji/Ss1Ari+MJdRyJnpQrGIzheA//8YNt9Pn2MlFecZaOtHdJb0VUA0u+2nO1p7KR7njrBxqcmUivXjnd0vs30ePhbzZpLJs98xAMEa2vh/OFM4ZXaO0IfR0qafBsxJPiolX/n7yOfT+7MpUbf6PnvJwxob94+NLS0bWpNHq+eX52Hlkpa8Z4GhnfNfsq6ZEvdtOZE/rRUToisYFo9rQlBInx+u4Fvbx46TRhYKPExCo9Erw+RB2h7q2lA4Z3v4VjU5yT5PhokamYFBd6/sO4frqllJat3U9ZiTE0wySnSE5qPP3s2OGmvBb16iXq5vXM52pI8M7B2uZ7fyDjaOqgdGGopyfFqH49WcKEMXXyHraCsDCu8/LyhJjZVVddJX7et2+fEDN74IEH6Oc//7nm14vCzZ6RRD2B1FT19T5xdZ4esrHRPebz6QUREEzemLit8vxJenlePzUp3vTzqmV8I5lkxXmKTYyjdBWLdWx1sy33Q3VjC+3w1AaOHZB2xPjKzUKfzKSQx9EY1eWd13rMWABPe+hL4Uz490+mqjpHZnHHq9/T2r0V9MuTRtP8EYFrmqs8au95OSmGxwSfE4t9QnI8Zfj0Ug74P6X14mt8nDnXRLD7N9tjHUCYx4z36pqH4nS9HjY6yPyIF/OY+hKGVmGWE2WnJ6p+38KOXnT9wmHUN7X7sbbXdvWm7tsnRazFZiHHNiEuxrT7nedn6zlQ1UBPLN8l5ulbj+uqDY2v79zPxMX0tmz+VjO+6SmeAE5UlKnHkdDSRjcePUxE9XAvqG0xpZzvT35gOR2qbqTXrptDeSaUJZnJ86v2inXhuMK+9M+Lp6r/R88amJbSfb+F77+56zjNmT4ZaQmu3A/jmL77zfGWvX62x48JR70Zn//Zq2Zp/p8kTwvHmPhYR+9hKwgL4/ruu+/u9jPqr8844wz65JNPdBnX7e0dVF3duRC7FXhjcNFUVzdQm8o0mNKKWm/NWUVFHYUzd765id7ZVEK3LhxKF01Xlyasl5q6zg1he2uraedVz/hGOsjIgGjfvkPV1KHCmMK5zUiModS43pbeD1/vLqclL66n4dlJtPSyaUeMb5NnkW+sawp5HA31zV4RrLLyWorSkDqNRfT7/VXi++qqeupo0q4iq5edh2po88EaKiqpoYrswJu80urO3qNxHe2GxwQ1eQj+lJbVUmKHunuorLJz3o+mDkPvr+b+baxr9JbrmHH9dbS2CXGlDJ3XM84XhIUPldVSci/1ZQfVnmuyo0X9/Jfci+jy6Z1tlJT/U+IZfxxLVZW5a7BZYwt4fraPPYdq6J9f7BKdIC6dOsD7+8OeMYyJMn8/o2V8kTUFauqbTT+OS6cN9M7XemhpbaOyumZavb2Ukk2MqptBi2f9qWvQdt76JsXQuH4plGxgH4vxlcY1xs+scYNDA6KjcIhAxFOrQ8ROsN8AOFan7IHenuzB8qp6R+9hLeA11UTDe7xx3dDQQF9++SVNmTKFMjK6auSgGt7Wpl9i30wFQSvBRaP2WKOol1DVRMuVnvL59BLj8W5iArX6s8qaw+hevUx/Ly3jG+kgfQrGdVV9C/VVoRw+NjeF3l/S6W218hz39kT2sIj5vg/GVylcEuo4lFN6fWOrJmXoekWaIeYCO68rKSLV0Nwa9H3L6zoNtbS4aMPH11mD10b1aNui8rUaPKIsyDIw4/wEu38TonvT1bPzxXG2tLQZ1sE4pbCveAA9xy5r8HAOtPy/bMESZ8I5q2ts9WYd6H2tHw7V0P/7eIdQS/7DyaO9v582MI2WXT5NOKTMuvZ5frYeOX8iC0U5bg2eLBez7lW949u7V+D53Wmg9bGttI42FlfTPA2pz7/932ZxXtEP3qqWrdgvyf2TlvO2ZE6BeAAj51vu22JMnA9QJ3/io1+L7z+8dhaledqhuZEoxTE3NXdmedpNrMdI1bJG95Q5uscb17GxsXT77bfT5ZdfTkuWLBG/g1H98ccf04wZM5w+PFcxJjeFnr14CkUCdipHnlSYI3rVorUE4xydhmaL68QxQl2LXuESFd5Q1Jk9du54YQhpbaenfH+7FZO7VEEDR0SRkgznCEBGgVEWj+8nNlCpntQzNci2WHaIJMEZdMWsfHILofqxB+Khs8cJMRvZV1cN2NDtq2wQ2RTKFixGWg8pr6N1xdVU2ZBwxPyAaBLTs5A9ngOpvzvdWs1sYSgJ7sMDVY1CoFBvD3rsS97aeIi2lHRmLaq9N9/eVOIVN7S+FaF55+2qF9eJgMr9Z44NWcdthWgbWnrCSO0sS9T+uXAu/u+DbaJ+GeJoT3y9l8b2S6Ub5g+27Pz38rxv7yj95ZMHqhvpR099Qylx0fT21TNV/9/C4X1oSFYSDevjvrR8inTjunfv3nTbbbfRn/70J2ppaRH118uWLaOamhq64YYbnD48xiGk8WBFH1V/rULwYJxFGqd2jLlZx9Xa3k6ekmtVxjKibnqVTeVij3tDSzq5GXSpggbOJkL6otzsJJrQq/kaT3RDC00u2bA7gRwj6eBQC5wXWhwYsg/5OU9+c0QfcjMUvd06DzDGxxNpt/JagaPkqln5pjjijBAboK+6UXaW1dHFz6ylnORYTQaLkhEexxWi12pRztFWqoXHepwmZjrDNx2sEa+HtoQZKiPXcTq7KwS7Xuvb23TNP8vWH6Q3Nx4Sj7uOHyHaEuppraiGhJgoWnHzXOEQMJo1Jc95dJS2z3za2FwKV3q8cQ3OO+88GjZsGL377rv0+eef08yZM+n+++/vlibORBZ6ozBMzx9ztcbBFzvK6L+ri2jSwDRaMnewI44eREr7psQJo8LqtifeqKwDhqOaNikV9Z01eJmJMY61CuzqoWrPOdpeWic25cP7JBmOlj/w2U76ek8F/WRaHi0anaP5///fGWPE1z5JoUsqjKK81nFdyo12dnIcXTe3wNCGUgpY+s793+6rpC93VlBhbjIdE0RUj3EX8r6AExIRwWjPfDooI4GunO185keMBRFYsxxNaA8GUAcMYU01TjDlfWNlBo/W1lmSJUvX0d6KBlHygbVbCc4Vjl/Na8rWtGavu3i9ekUWlhY2H6rxfo/XAFYZ11hjzcpg866bYdjBJKKNazB16lTxYAKDPsCPr9hDc4dk0m1HDwvrU9W14FnfDxgpV61t7ZSfmWhZfRITmtuOHioWVWWaaTBKapto7f5qy+uigqUNYuF86ypt5SuvrT9ANU2tdOqYXErXELVxMiqrJnUyJT6azhzf74j+xHpBdBQpwhhftRuU6fnpdNeiEZSbYr2BCS55bq3YDL5+xXTqn6Yv9VNSVNkgIlS1itp6LQxI054yjUjiXz7aLlKur5g1SHWPU+WGFp9fbspyUuLokhmDyJQyDJ8N9obiGnp6dRGdPKYvG9c9COV8JdoGWdv8QzMT+qeKUp00jdkbevs5awH7kX6pcXSguom2H66jyQNDZz15+4dbnOHkXRM07tFKa5uppLaZOjxiWP72fWpS9J++bDodKK2hHJOdiUZKEks92Vsy1VpGmN2OdCzhmtFCbVMrVTa0iPUZafDhBFsCEQQuYvTTxddISSUzO1XLH394byttLqkVdT6zTeqXyGhngk+bq1DIRd3qiHHXZr+jW1qjXh5bsUekUM/Iz9BkXOO9ERV2QmQFG8/s5NigAmwFmYl0x3Em9Qglop+9vlE4T+45dbRqYwr1X3jYaTiISIsJGTYyUmJVpMMfcF6+vO6A+P4yDUaxSEX09NXGHJ1i4jHJDZ7vOZVrgaz/Z3oGynIZjCm0CkBFfTOV1bdQOvobqxCwtArMwVMS9ZXqBKPZo09h1Bk6syCDyupavCKvao1rq1uYwpg6dUxfytRoVHUZckd+njgN5YADMxIpiTpMF7vqyqDTLqhcXNVpUMue0UBe71bwpw+2UmVDK926YIjuun4jjvunVhXRf1YV0XmTB9BPFw6lcIKN6wiia9IM/81FQVYiHT28DxX2VRfFNEIk12n2ZOTipVUYTCuoH75y1iDxPkhtNJqJpWUDoQQR/fc86uh2g/RNu1M4Y3pA7a1wvDSZ4wSUrWX0Go/vby6hzYdq6ahhWaodVcgMkGiJsMDBhHUIDgFljWdlfQsVVzdSWkK0rki6b0RM6cyyO+WfMQcIRL14yRQxbshukby7uZTu/WQHHT8ym/54SpcqfLhg1r7il4re4Halo6uhX2o8/fqEkZr/rylIeZMb5nypF9LQrP0Ypg9KF+UOty4YSku/Kxa/09IRRCtf7Cinw3XNdPnMQZSban9aeJyNwsN2w8Z1BNEUQZuL+UOzxMMOuN7EHXyzt5L2VNTT+P6pqlLD7dpEYHG8arZ/ca2iiga6441Nwosva171pr32dBCJio6KouS43qbUXOtJz0PqJOoTB6UniJ7RViMdJWbUa0JQxshm7LPtZfT+llLKTonTbFwjWhytcV3pMq67PvvyXWX0u3e30qyCDHrgrHGkd9yxwcVXGNhxUm3ahDRbxhn8ZZO4Zd1F+cl7m0tECvXZE/ub9rpOfT633yfBzouWOf8v726m9tY2+vGkAaZGh48bmU0TB6YJLRWt/OLY4UfMrWaIewZCni+j64/MAtRqW8SrEDrtqbBxHUHYle4TaWhppcRYx+sbDtK7P5TQLQuGqDKu3ZBxgNrpjQdrhCKsWrTUlfUk/vbxDmHcYfzOnzLQRFFD9TV9r647QC99Vyw8+XrUxvWrqJthXBsTwPGeL0U0OhRGRHf8RS3McHglxUbTZzfOCbz+8TwdFrilFVdFQwv99eMdog2RFca1Gc5fZHCgJBAGX6hMrVF9U+iDJbOotcNavRocExyC+JzIVFHrUA027mnx0eIRCnTpeOTTHeL7s8f3E93UzeLi6XmG/r++uY0O1jSKNmwYe7RiswpZQmN0/YFDHK1oUdql7f2jTHl/N8LGdQThnax7gECCWZN3p7qotZ/XLR70SCdO40Rt57jtLqsXNViDs5K6bZb0HIMeo1FG9h//ao/ofXrLAnvrmz7fUSZqq5BVcNNRQ/z+TXl9p5hLZoj+pFaq+NqVzWBFGqNMC9crgKOnw4KMlusxrs+c0I/qm9u79ccOlvJpFJ6ney7Prdkn6obPmdjPWxvqlvHsKkMw10AY0ieRzp8yQAilGuUnz66lHw7V0j9/NEFEVUPpIWjR8jDiWD7m4a/E91+hJZSKeins6YKN+6PnTlD13k2eectNZZJiv9pBooPJv77eS2dN6EcPnzNe/N5tiu2+QCjvn+dN1Px/cWHc1YeN6whCXsCRIOiCFMfbXt9I4/ql0hPna7/p9aVROdM+iNEXBUQaH+4FOxbXS59fS7VNbfTypVO7bZb0RF/k32pN5UJt1dp9VRQT1cuR1Mn1xdUiuhOIckUrLjPQ0+/Y7myGruit8Q0UnBKt7R26I9d6oujeOm8dBv3lM4+swbfSYHJ7uisTmJe/K6aiykaaPzSzy7h2SeTaa6C0du/DbZSx/VLFwwzQiQDG9Zp9lSGNa7tQjhvmXTVBEBifo/omi7E3so9VznFmr/+YE+E4wOfTIh6KcqRT/7mqmyo6sLItpZnrj673j2HjmgkD4I2EWEKGA2rBdhOst7DZsFCOO1BuctRw84Ih4mHfsbUdcT3qERnU6212MtLT5aFuU2FcmxO51mMs2n2OoJY7Mz9DzMtG+e9Fkw39f7wu49pchXKzMgduf3OT6Jv+mxNGeluc3Th/CP1kel7YtXyJBPzpTHStu846teV8DPMEzi2zegebCSKLH209TI99uYeqG1vpoml51CfAfbDxQDW9ufEQDe2TROeYmObui3KOxViquS0RVX/6QmPznLKzAuYZs43XR7/cTc+t2U8XTxtIN8xXv7+obe6+NpbWNpHVOC0AF+cpUeXINdOjuX7eYPGIBMxKdwkFPNVXzykQiwP3uHYWN3tBA/X0lNFnLYrlS+YW0EXTBtKQPtpaRjlZY95VW+XfQ45NKaLbIMOkyDVqwFAWMrqv+kZPXdEwezbIZ06wbvOqe6OjYc6ckpdGr10xTbeAHbI5MN5y7pTvbdS4Xre/WmRqIIIkQQ9tPJie7DjtcF0mgvL9sfaY1X0C8yGMQNSzJqnsHx+IyXld0WoYfkmxgUU2d5XX0yvrDtDswRmWGtfIHIOxjLlfa6/rQDy5ci+t3FMhjjtY+0Xp5LUiaw3nFtT5GMtqaq2VINPglmUbxJ4djg4rMNKTW8nStfvpiZVFtGhUtqaSs0HpCWKs7BAPtRtOC2fCErMmjVDA63mphv6uTHj0NtdKIBEyr4K/hkW+MFdfV2Bvf1AnItcxwZ1d2EhiewWTVlmDa4TjR+WIhxb0jEe4oKf+Dcrkeltm/fqdLfT1ngr63Ykj6aTCvt3e26gDyK75n7HZOaeYP2YVZFJqfAyN7Wdml3TtKCPVZqj+S55eXURPr94n6q6NamQMyUqk1PhoEbXG0aKvMPCXxm5nJh7mnNbmNtPu0z3l9bSmqIrmDM50bJ6XWTy+xnIo6ppbvWVRMotr+c5yWmKhsOafTy0kVIkZPQ9wYpbVNWv+zMOyk+jnxwyjcISNayYs0VNvyfRstG6oH/5iF20rraMLpg6gaYMyLD22QP0csa3BpifZxFYggegyXHo5GLluC6i4S55zgb62TiE3x3YpSmNDgg1vekI0ZRhIh4cY3I2vbBBRk3/8SJ2ojy8nFubQjPwMcSx2IO8JmaIJkCKPtjiTVbYC0zL/v7quWFxnx43MMSUNn7EPb8sgxbVy7Mhs8XAaRGBhYLe0dZiaNaWnZCjYMT5y9nj6y8fb6fSxuXTvpztp5e4K+sPJo2hKXnr39/VEke3QIsG6UOenXCoQ+6sa6Nql60Uts7/0cLVpzrKcJd7CyLXs3qCWuqbOvx+YniBKWmQs36xMLn+Y1YJMbyuucIaN6wjijjd/EH2Abzt6qKjBCWdiZG9TiyMXeP1dZfViISrIMq7qyegHfc3z0uO9gjeh2HCwRihon1SoLbppZpnCCYV96dgg6Wv+gDDY9tJaGpmTTGM0CN44qQ0QyLmg3JCcMS7X1A0dDGWk5sFWR4RLDWgBdsyIJhqRE7qVmxk8+PlOentTCd04f7Cog9QLNmZbSmoN9URFrbvWevc1RZW0Ylc5jclNoaM1Xsf+auLnDMkUD6P4e+1X1x8U5whlAmxc9/zItZv42+ljhFPQrKwbAGMdmJVmPrJvMv37x53irp9uPyzKJnaW1R9hXNu5TmjVxkF3guLqJm+XAq3rjARr59s3zqWa6gYymwSDaeEQ/cT8JecuM68pq9CrVdLW3kGVDS1irVa7b+spsHEdQcCwRqQuElLl7Kq5Lqltoguf+Va0v/n8xrmWvhcTHGyYtWya5X1g1uYlGDJabMb1+P7mEnpxbTFdNiNPk3GN7D9sPpzocx8fjbrB3t6Nhy/9UuPpzuNHmPqeqBv8f5/soONGZtOfThmt6n8WDu9DdmJWn2sZJbGyJ2ogRw9SVyHMptW4VrsRNkvc0O42a4y1WUlQV27v6BACrShPcJLZIdKQ9eDVH7BgfUJLyC92lovAgJOijphvkVKcrLKmPNSxde37gtdwYx3qn5FEFQnR1Gry/JMY0/lZtKZI13rSwrFOIiPj7Y2HLN+fvLPpEK3aUyECE1rnbzOumX2VDXT2k9+Iz/zpDXMonGDjOoLoSjNydiGyA0zWswoyLF903dIOhNGOnZsIRKgnDUyj/Azj2Q1qNxC+QMAmkIiN1aC2yu7FsyfU3ZrlBJTGtRHV7qKKBnp3c4kwVs5WKWTkbe+o4339KcgXVzWKc5GdHGtIxClOZi4pzquTgn6MMZDZccXMQdRXIUj3q7d/oO/2V9OfTx1tyDCIxPWpIDPBW6Psi533yW1Ha6u3DeUgi3HBnC/Twus1poUjcjt3SKZoNTamX4owrq3OsNl0sEZkTkHo0ZBxrVMINM6iHvFugI3rCEL2JI0Ezz3ajj1w1jjL36fFo14aCefU7ZTUNNE3RZViU37UsCxHIwO+nDm+n9/fv77+gFhEFwzrQ+dOUmfQuGEDYcXchDRIRBSgIOuUwB36gANscMxqL2VHn1FZt2wkco16xsdX7KHh2UmajWs981+Xcd312f/vw2309e4K+u0JI+nkMZ0iZ3qAAxmv39ahUJeOYLG6ng7qUN0sPvjJtsNC/X7e0CzKTjZHkd7K61U6KUrrmm19X6NIIyxQuzO1c/6WQzX0zdpiyk2MoaOGht4raD23yOTJTdV2HRw9vI94gI+3ltqSEu5Phd/OIFO8J9CHtR8p4k7qrZgNG9cRhIx0sSFoHnIStyO1mAnOtsN19Jv/baFROcmqjGsn1bMleysaaPXeShqmodWGm1XR9fLGhoP014930DEj+tA9pxaa8ppyA6ZFwfcXb2wSolfP/2SKpjFxus9oV0Snt60p6kYctv4i12albt+3eMyRKsg2i9Ux1mJ2TbIR/rFiN+04XC+cAGYZ11Y6f/skd2orHK490ri+ana+UBM3ot+gFqiVY1+KqTpaxecMZcR1lj1FCZ2NYHx/oIb+9v5WWjA8y3TjGm2lfn3CSMPOUkSBzRIc09I/Xg+5KXE0IjvJe11p7SIijyEhKnyyatm4jiCs7O0XqbjZyxtpSOVPtUandyNvw+assr6FqhpbhBq2UhVaT/TFq5yrcUF84uu9tK64is6e0F9EWOwERtjPXt8kxubBs8YdMQfJ+jQzN3R6anrtNsDMqjvuOm79nn9pmGs5Fm9auI75b2y/VNHjFOUSvq9ndD71NazNfG3GfiA8ibkLwnkzCzJd5yyxQuMF7aRgtOR7UrjNpE9S5xqEemfMzcqyDvScl33nrebal78XY/uHk0bRotGhhUVDOd8umDpQPELR5HUKuseYU7ZFG5GdTP3T4kUE3ErMSsteMneweGglVnHvNrW025ItZhdsXEcIuHGNbIR6Isc8vEIoNr5xxXRRU2IFblrgI52udk/qFor2ju7K8lby0PJd9Pr3B0XPystmDjJUq+QVR9NokP1wqIZW7OoUL7EbpHqjp7F08h1hXHs2O2Z66vVEYu02wMxSQcamDLXSalXRzepzLdPR43RsinAd+l6LVs2nIkLGxnWPZeWeCnpqVRH9ePIAr3HtJmdJl5FiLL1WiexFbQVQpEbddVp8jJh7nRKE05qFBWMYx21UWdpbRmPBtYO5Bmrm9c2tlJkUK9qgqeHW1zYKRwOEPU8YnUMvXTqNbMuccqjErHdUL7E3aG3voEYR/HO/Mrpa2LiOEDDnY0LCguQmb52VILKHOg4rxRLsVJxmzBWw+t81M4XabC8HNxF62p5odSJ438tBQScsokjVg0PD3/jIyLUUgzED+Tll+mgocC1gke/8X3tqv0bnJtP5UwaI9lBGUNbrGb5GdTgjzMqGMstgWrb+AH2+o0y0uZO12/+5cJK49tLjedvT0/AXGXaytaDbjBQ9zrhAxttr6w/QnooGoViNTAEr0Vq6Y1arPrPnLSVYQo568Evx/ftLZnbLVAtGHbIIWtsD1pP35K46wcAYtDa3meqYcgO8ykQI8A69fsV0iiQwccCDaOXEgfqaS2fkmVZnxRg3DrSMt1qvslmbrxafzZceY2J6fgb97fRCzdeck62IsJnD++J+9BelkD1BzUwLQ+ojIgA5Ks+TcmNsVzRs8sB08XAD3si1lhr1Y4bRNXPyKTtJ+/yH8420VNyCsr+2WdHl3eX1tHxnOQ3JSvJef0YdGIxz+MtC8ToL3RS5NtG4hkAanJJJsdG2Cj19sv2wyHAakpVouXGtJ1smVGvAJ1fuFSrbtywY6ohxjbHC6+I9kBWQofL/amVplMV11n67Khg8/7cu20C7yuvpzuNG0NRB2tazU8b07RQztbmNpNWwcc2ELXLilIreVjC0TxJdq6PWhDEfKY5h1kJtJv5aAyl/1rLIoxYLD61IVWansiyks8vf+MhWUokG2i/5kp+ZSHefNEr13yvHJhLLPOQ1iGwfRPDVqLaj3EZvyc3H2w7TXe9spmmD0umRc8brvh/cGpFhzMOfzsTi8f3EvAEdC6cxq7xDycXPrKWDNU301AWTLDdynXLC+utHb4SK+hbhVBvbL0Wl/pA1hiwysIRxraHXtXQwJ5m4Bobi+FE5Qn9FqnbrBdfpvspGsXZY3Y6tp+D8rMQwFhEThqrKjLp0aaU4iD8g4vLLt34QG4jfnTjK8uhHIFVOHCGMGDsMXqfV0YNFd7o2Fs6VrMjjgk1pV6QI1yoiVLhWlT18tfLWxoP05oZDQiX//CmhBX38kRQXTf/+8URVartWRSMhtododmZijKklIjWNrfTKumIRFTp3knW1rIw1yDIN5bVy01FDemxJkhv0XO77dAd9vPUwXT5zEJ2haBUpnbB2pNt3OU3UGWWvrj9AS9fup2NGZNOVs/IDOrFDOdgbW4y3LgwG5pny+hZNxrUVpVGhQKaYGdli3vJIG/RregpsXEcI+yob6I43f6CspFj6+5ljKRKwYsHzpbKhhaobWyk1Llr01macAyItvz9ppPBGY6kONs2jtumLneXi+7tP7uWYh/5vi8dSq8cZoJayumYh8INFcaGGOls7+3prFRibVZAhNhX90swrr8A5RQQW76dG/RY9tm9ZMIRa24I7Zsxk9d4KumXZRhrdN5mevnCy7tdB1ODbfVWG2ofByTO+f6qm/3luzT6xKURqn1aRIX/OlitnH7lhNkPjoLy+mR5evlvMEWxc9zzcnokA8bFjR/QRmWxmYbVgW21Tq4g4ovWgEjvT7bVG/A/XNomWZxMHNBvqpHHF7Hy6cM5gShQ7BfORXS+kUKca6ppbHXcwO+EIamxpE/sx7GfCqZMRG9cRAibSzSW1lK2xD12k1eBqBQrQD32xS2wuf2OwtyFjDCysJ45W17pCbuhFf00bwnRdUXX/i7kWYw69sdHPG3VlWozrdk/Klp2CKUqQegZ11jY/jgREW8+fYu77wQlx4j9Wiijs17fMC3mOk2KjdUd97RJdc5uw4nNr9tOhmiaajbZBWo1rncJ8ehyrcg1w6tpnzFXjRvop7m/cP2kJ0bY5wwLRmbZtbuq2lXXByhIc3+iqnWnhw7KTaMGwLBqcmajq7+X6GejY1KaZox95RkYSVVTUCee22ci6abWRaxyvXAOSbEwL31NeTy98u58yEmPoqtkFul9H3pd61p/rXv5e1Mr/5bRCTfsZt8PGdYRg9UTtRsb0S6GUeGt7NppVI8jYi91iOCNykulHk/rTqL7JpqVIau1z/fJl04QitlM8d/FkWzfBcmzhU8BmPNqFhpVZfUa75iFjn/Hl74pFWvYZ43JVqdx6a+V1pBbKlMzOFiydau3FVY1igwwnsJFr5QjjOsLaUIYbqMv/13kTROsomTF28uMrRXbSylvnUbghdQ+szDRK9Nx/vgagjCLbkRZ+2thc8TCr40VXJNxZ5WnNxnVbO80dkklVDa2UFGdf5Bqp6y+vOyAc9YaMawNZFnEmi9q5BTauI4RINK5vP3a45e/BrbjcxRc7ysSGH+06koJ4gO1uSzVpYJp4+PKH97ZQaU0zLZlboDqlV0//ZrvV0f0RyFjCJrKmsYXSEmJMPT7l2MKzHkqzBdk9O8vqRVqememdqnQhDG4szHIW/evrvSIiiEi0GuNabh6RUq+VZM/9WdvU5q2LXvzv1eL7r26ZR0b8BNIgkQaK7GvrBmVpRju4FpXXo/J6dzpqDbYfrqNtpbU0MC2BxmksrfCH0nEaa3Hkus4nddnN/eBbQhnXKtPC/7fpEDV29KJpA1Io14JOLzPyM0QHBLXCowgA3bd4bI8tnTQSZIrz7mfUp9D3BNi4jjjjuufVc7gZJ3sHM0fyu3e3UFVjKy29ZCoNzgpiXLtkA7FqTyUVVTTQxdMG2p5K7Bb2VtTTj55aQxkJMfT+tbNMe13l2GK8Q7U42VJSS9csXS9SFJdeOpV61ObGpJ6/WqII2MBK41VP5DrZo/IMpwai1nIuNaNUAy3YFo3O8b5OV1o4z9PhgLce2SXj+cm2w/T4ij101oR+phjX0hlkrXHdec82+ERX/3neBPH+A3V0pNAL7n81jtVQdejyegilWv3cN/tow4Ea+vtZYy0xru0uL3K6dDIvPUEYx3oyg+I4cs2EhXHtwtTInkxXfRKfVzeg1liRNUJ2bc5wPFWNncIxyv7Ueoz8QMrjofjZ6xspOiqK7jhuGKV60ivt5KmVe+m7/dV0zsT+IrNAcri2U5wmPcHcY8JmDcaVEDVTca6cqMs1a3NjlsKv3BxBZCYUypRHPT1KIS524ugc8RUicmY6gH3V3p3s8c4YB9kU720uEeN31oT+jnc+CNapwgwwb506pq+YF6zSBEkKkLqMemS7eG39Abrnw22iHdRfTx+jIVPQ/znplxrXmfUS4py5LZMzVHcTq5Dn0ej68/xP9AumxLFxzfRkIjFyjUn7/c2ldM2cAjp3Un9L3oMjIu7CO1GHWCzsjlyv2VdJN76ygUZkJ9GzF08xlPmgpeWYBAbmp9vLxPe/ONaZvpKIDH+5q5xmD87o9vvDdZ3GdZYFYos4V63tbarq050wwPQ6SnzBJYHjNnrssi0L+pGHQirhQgMgWodRj2P9vaIPuZU6CG6LdDLaKK1tovs+3Uk5ybHCuO7K1OgVlp1JkCb8a4sFUiFiVZCZYKgFoFGionoR/Nxqs7CgoYNrAA45f2AtVBPnkJkBRvs7BwLrMt4DEfkkFQJly9YfoHs/3UmLRmXTXYtGuqI9pt3H0MQ110xPJCqKRNplqicVLxLAzQpxHim6Y9V7uMkDGul0GZ7Bx3xKXhqtuHmuN63VruPy3UToSedVXms4fjWRVqVx6dS1GqhWXEZOAm2YjL4njEA1C7fVrW8CRY8Wj88V428kevGHk0ebcjwyAq0lcm1Gn9TuBnAvU1Rw/7FiD6XFR9Mvjh0uBLEeO3e8acfKODt32Cm6pQaZEejWVmH+mFWQSS9d2pVBJNeTx77cLTJqLp6eZ/la4dsyT42OjhlaOk3SMWjR5/vv6n30oIYuMihlc8K47HLudjgWPY/zODjYuGZ6JGhRpLZNUbhglhJvMCD8g3TWkTnGVaAZMz2xwY1mLCIwSu3aawfq56nHoIuP6d3Zz7u3ejEfpWfaqbrTQB5q6fzSk1ocivlDM0UUVo1R5YR+AiJUvzxuBLkFXFtAjUMS6aPPXDSZWg3Mr3D6oOYa42Nm5gBe84MtpSJNFEAMa4oKgTbGnfg6J1tkGYRLnNpyTjVrryFKWVrbhOFhR6tICd7zP6uKxPcXadABcUvEHwbir97eLMbh14tGiki3E0GRBI1q4VC/B1IN3y6Uax3urVgd5Y3oPb7kpfUiQv/UBZM0/39hbrLQyBiebY+IqF1EThiTiTi8C56FHsGTCvuKB+MOAhmxTuNvE9Gus90KNltaHWVmikXpxduD1GdszI6AKtGSYsd1uYq0cBVzJjamRp2KV76wjjYerKG/nT7G61wxw2AyoqjPuH9eRwnJ6eNyRYqwGzA7vXbjgWq64oV1lJceT69ePp3sQnn8djguupwm5pw3OJs/2X5YGIo/Xdga0ri2qjVfoHr2QFRJ49pk3RE1onbLLp8mrl+9WiNwXu8ub/B+Zq2cGKaBPzaumbAl0GaeCV/UtnX4Zm8lvfb9ASrMTbFF2dPfJgLXJZYzmNcxFgviOZHyrDZyLWt39ShOm4nsjWp3ZL+6sUVsatMTY3U7Pv7vg210qKaJlswpoJEGeqlfNnOQEJzDpt4OZClAXXMrDcpIoXMn9qfMpBjT534YKzDih2Un0eSB6YZfn7EXOW9BBRoPtC381fHuyfjout7MKTNqtEEjB6UfV724jg5WN9HrV04XjjU5N8PQsqNto4yUqnWC/ertH6i4qpFuXTiUxvZLDTgWLW1tAccC0W3LI9eetaxOpXHt1R0xYe7TAsbYqICd20o03AIb1xHC0rX76cOth4U66+Lx/SgSkAreVkaukRIDoL7slhS1SOb8qQPpxMIcGhdg4ZXsqain9zaXikXWFuPazyYCKbhrfn4UNTa3aTaqlu8sE15xlCUgtTgUMp3SyQUwUHQH0c/jR2ZbVloh27L4Kkj7Mq5fCl09O58GZyWSnZz0j5Xiunj9iumq+6L68u2+ShE9MJrKqbbXuhSoW7GrXLQuWzC8j673k9cuelzjvP/smGGWXGsrdld4WyWxcd3zUBpBcFD2jnJX7fzo3BRRqpNlUumBHYKbOKd7KxqEAQgDG/ef3V00tAZAtpbW0a6yemoMIriI16wjGNeB/+bxH0+g6PjYzkhxh4Vtzlq0GdfZSc6Jyzl1rXZ0dIj9CcTfZFlSOMDGdYSwp7yB1u6rokkD0yhSMLsOyh+3vraRfjhUS/ctHkNzh2RZ9j6MOuYM7i7QEgi5ibBL3CtQy6XO2m/tx/D7d7dSRUOLaIExTIVx7Ya+3t7ovY+InJWlFVe98B2t3V9NfzmtkBaGMAARCQkUDbH6vMC4NuIEtHtTLKPBjyzfTQuGZek2rlPiOzdTEJ60UqjHrD7gjDMo50jpoMSGHPO3G5zaUNw2M7VVrhNWtk7F2tMvNZ62H66j4upGj3Ftr0ArjNsZ+end2lMGQ00LtlB13PjcUwdlUEZGElVU1FGrBcEXmYVV36xuXpPtKK3omBGKx1fspurGVrp0xiDKStL+/kaV+1///iD98YNtNG9IJt27eCyFC2xcRwhW15i4kdzUOBrbL0V3NEgNToggMcaxe7OdGBtNp4/NFel28NDaLQQzIieJvrp57hGGrZ1cOC2PLpqWFzKCbCa9Ta7pswIxlk3GdAKkune8QVE4RKPhhM3LSAjpqKpt8qTz66y1U6aFw7hGJgYiPXg9o/X3yvsaBraVbb4Y60FmzwNnjRXjKupE1x+gv368g44d0Yf+79TCsBsCu1qnQvAPxvWBqkZH1sWCzER66Ozxphpy0jHg5Jwv50Q1aeHYDyDoVVrbTNk6jFujvLLuAJXXt9AZ4/rpM64Nzq2xYaqPwcZ1hNDoqUGNJCPQDqEEjoi4i51ldbS/spHy0hOoIEh6r92RXCy2v1rUvUawuLKBfrVsg2gXpFUxWquAjuj/KfoRk2MESn2HYYjIlBVGt9yEqVm4D1Y3CoMRdW9Ql7YLGZ0yshnscp4aG+A1RZWinzD6rYYyrsvqO6MtGQn6z5VMC4e691sbD5pmMPmmEXuNlQha/8INtI5yk4aEEly/0PFAmfJRw/RlcSix6/Mhcg2g1+CWDCej5yUmxJyPEpT3t5ZSX5SzFGRYcpzoIIOMHjUCZah7/uvpY6inisAaDTDFs3HN9GS4H7M1eNMxXboYRRovrS2ml9cdoCtmDqKr5xS4WoSjor6ZPt56mPrAW3yctv/1biBcHJFVy7UvrafvD3QqRh81LMuxmj60oFFz7ZiNUc890p7Nilx71cKD1DRKEO0wKsLTFbnu6kVuxlwKR84n188W4497xe1GA6MNN2hIKCmpbaKfvbFJOErNMK7tctqnJXRljgCIIaK9njP9JMwZ91BzPsbqng+2UWZSLC24frYlx4kIsJMGsxbknNiic/3BXNs/NU51ar8vMjsj3ISHOXIdIbBxbQ28aXMXXbWW7a4bN0Q3cFwQv4s2eAxaW5igPvb5b/fT0D5JorbKCTYcqKZnv9lPgzLiacncwUeohVvR57qr133odHinUoeNdjXAhlN+PKPp1NI4VyPEU+4R4ck0EOVHnSdENsfkplCtpz7RDIMCmRpKoT9OC+/5vPdDCVU1ttAxI7Jd4Ry1sjPJgPR4kcExrn8KWYlSUFDOH1YJSwZqQXXGv1eJtfDzG+eGzF5SM+6PnTtBvE6g1PFGl5VIoh0nDhVzVk+MXM8syKTXr5xheI1u5LRwpidit1CFG/hqdzn94b2tNCInme6zSCihS3gkcs6rm1HbEsWJcTv5HyuFIYm+kgV9kroidTqEQLSmhe+vahTq6FPzmh0zrsvqmunDraVClXuJ4vcNzcZrd83ode+UA7Krfl5fPTyOG9FZGNlGN4wJniiCjISriVwbaZ01JS9dPMCjy3dZdv670sLdGpNjQvHol7vFPDaqb4rrnNpm97mGOKodAqk5yXHCwdXHoX7hmJ+ldkMoFXjUJiMzAPNcsHEPtY7INp1WK1OLjCIxN0cF7Qby6roDdP9nO+iUMbl0x3HDyW606rfY1aKzp8OR6wgBNzcu4nCSulfTgqektpmykjojLFbAERF3oXahuHXBULp2bgFFR0XZemwwruUi0mVcR+k2GtV6m+V1ancPZzXpz/WeFGQr5iYtm16nUk1R2zwkK5FyUvRtcFPio2nFzfOota2dog0eu4x8y2yCYJTXG49cK2nyOBfMMq7v/2yncOhcPSefrpiVLwR7hvSxt80aY83crkY12k7kvIopBJFIvf3q7ebYkdniIdl8qIa+3FVOQ7OSdHcA0IJy/LAuBFsDUJv83pJZ5jnaLN4Ln/XEaiqqbKQnz58YtAtFWV2TCAbYKfSpRDr3nRKAi2XjmunJaFFkDBfkgic3zVZ4JqEADcMlyYKoG6OdOJVGJyZ0+9N/PX3XPccmDT49xsQFUwfSSSr6eUuMvJfVqZMyBVm2LzET9G2G8TowI961jjIYfmZg1LAGyXEelVtPNCkYj547Xhiv+RkJht4Tmzq8n4womeXc+HjbYSquaqRzJvancf1TaWSOKS/LOIQyfdVI1o8V+AroRRvsw+1UqvD64hp67Ms9dPTwPrYY13BCwKZEEwuzjLtX1hXTuv3VdGJhTjcRPInUk7AiU0qJdBSgzVUwoBIOhPZKD0wLf2fTIXrh2/00b0gWXTk7X5f421FDIf4WXrHe8Po0DKOit7BZYOH7xbH2p/EwgYkxKM5hZ1RdGhN6oslq+3lLmlwgAORPFRTZJfJnK4zrsyf2Fw81GMkkCBdS4mNU950ekpUkHkYoqWmikx9fKQwJ2evcLOeG1fM/Yy9enYnWdirMTRGt2xBhdQPKORzzu1Htg799vF20SLpmTj5dPtMc55saZF9mqw1P33FF+rRZ4pzf7a+md38oEbXj/oxr+RmTFJoMVpAa372ePRCH65w1ru88foRw5uh9fyjN/3ColoZnJ+nuEf+3M3qG+JsW2LhmwpZwTTdhAiNrKkNtqJ/9Zh/tqain08bmBk3ZsjJy29RiX6RUOhuk88Et96NSOCvB4ewPp+o4kc6NjWXvXr10pcaj/dzDX+ym/mnx9NOFQw0dS05yLN17xhjvxtBqkNIO4PsZnpNMJ6Mne7Y5gkpyHLFx/3BLqbjWZhVkUB+dqraMs8RFd83ti8f3Ew+3gAgslh5cx2Y4c+QcGWNx2dLh2ia67uXvxTEvu3y6pVlEwaL+uEdDaU7AEXfn2z+IDgP3BtHQ8c0Q86W+ub1blo5VyE4I1U3qjOssh+resW4YwVuiEcFOaX+wcR0h/PyNTeIm+MUxwyjX09sw3PEaMxYZ14i6VTe2iE1cUizfSm5gwoA0+tnRwygvRBrw8l3loi/p1Lx024zrrvrfzk3E4kkDaFZeKrWoaHvkz6BCyutA9PPODF1H2uQC4T1/aeEdHSRUcbG5cjrFE2mE4/unGk5z1sof3t9Kb28qoRvnD6aLpuVp/v/Dtc30+Y4yGmpCPTGM+3lDQwspYUP45oaDlJUYS6eNy9X/ftFRQiUeqZrIxvjx5AFkFjL6VtfUSv/8ag/tLm+gx84dz8Z1D8WrM+FSZ/ntxw6n6N69TNkL2NXnGq+/s6zeu0+qs1BcMqToZAinBI4NUWmImhnZ980fijKhsTSob6orItdQTAeZifqFIZ1EamUYvVbb2jtEiYBTqulmwxZBhPD17nKxgfnpQmvqj3tyWya9oF/iaf9cJYym5TfNteQ9GG2g1RQebukjGmwTERXVS6QPxuhYTNT285a4QV3Xn7gYIpf/d2qhZe/58nfF9PfPdooawt+fNCro3541QV36uNsybLpay9i3IYZj55Hlu2lAWrwh4xobKSgW76loEJGpQSY6NlK9PbRbXaE5wJjVVg9RTihL93JMBMofZ5gYSbdrvk5SOALQCg+p9nYb19BDEEGKEGux2nMSat+H4NLAzETKyEiiioo6soqUuBhVNddVnuftyhby5YsdZfT9gWrRtWFGfobm//dqlejcS7W1d9Dc+5eL1PQPrp0larDDATauIwAIb0Vin+vEmCihwmuV2BjXaPZcmh1Ik0ZKal56vEi9tdtxdOWsfLpw6kARWXGKnJQ4+uT62bbPQbhP3dxD02iPXNk2S/aoNson2w6LOrqFw/uIejh/1JlYm4nrAsY1sjHG9EsR1weUgc1KOcfm1g2aA4wxLpmeR6ePyxUihTe88j19u6+K/nTKaDpOoXYdLtiVaQTnBPZHiAqjJZbsEmCnQOtfTlPnXFXb21xtO06r8Uaumzoj04EMy+mD0sUclebRu7Cbr3ZX0EvfFYs5V49xbVS5v3dUL5Ij5dasFD2wcR0BwCMENcZIM65RW/fiJVMte303RAOZ7iAFa2tpraiBQ4q4m9KkfVWh3/n+AP1v3X6aMSiDFo3OsbQ3pBPq6L5g8U72EZFB71L5nNM9PIsqGggljoik2tmyzLdcQCuNLeZGrpFCva20jvIzEwIa1zLClWyScQ3++vEO8fj74rE0Z4g2wb5gm9taReTa6XuA0c8YRfmO0WiZFazbXyWyJFBmZDT6ZmcwBHMyjGscu7yvjQqyWYHa2t5Qc/7qvRVUWtdCc0f3pUxPHb8VILCzYFiWEFYLZlgGqx+3VShQp3PXjCBTfHSUuAbZuGZ6FMoLNs7G1MFwp2uyd09qWqQDw/qapetpcGYiLb00sGPFDZvtdfsq6c0Nh4TwiVbj2uo2c3Z6zW9+dYOodf73jyea/vpaFKMve/47qmxooRd+MkVVaYFrItce1XnULpspxBOsVrCrNtO4f76vTyaHWQbF5TMH0aUzBgnj4cW1xaa+NuMsXcane9beP76/jXaV19Oj54ynqYPSDb2WnesT7ndkqtQ2ttJtRw+j8rpmGmiz7oSZdeih2nG+uu4Afbj1MP0uujedNtq6rIcFNrUzM0qs5x7Sa9jCMIYzyUi2Q0JMZ/aEzMIKBzhyHQHImwa3EBuCJp5XF3rPIx21hkqLA5FrZXlGMhRSPQaKHoVotf28Ja+uK6bNJbV0/Mgcwxs/I/zx/a1CkRaic2kJMdTgOQdW+adiNESunarL1RJdDxa5Nuu4ZcQ3WK2gmcJH4/un0UmFTfTOphJT09tTPWmWkVoWFW5sPlQjMioQEfSW9bho7fVqJ5ig8TJhQKro+2tHe6YUj2o2aq6heWCm7oEabn9zE60pqqI7jhsutDGMRkjRehE6ELL1oy9OiLYFAnOT0wJeRp27aEdrtCVtvGfOV3YP6em4Z2ZibPH4OX0j281F//2WTn18JR2sbjT9td0Q/WT0LRTeVic2Rj7u+XA7zXvgS3rmm30+6bxR+jdyKpXGV+6ppGXrD4rIipOg/+h7m0vFRk65mFrVhktL5NqpVFP5fk2GI9fmnEPZ/1VuQq3uh4sU8N+dOMqrlmu2AazM7mBHaM/lgy2H6ffvbaX3PW3V3Ja+rOzDbZRbFgyl+88cJ/p5W82A9ASR6YVSKifAPIOMIeloDVafjBZhoSKkmJMQSQ3ktPaWtFjc51oaz8Gcpp9uLxNiXrcu20BuEhq1m3hPRq2btVG0wpHrCACbRkyckei1P1DdKNQYg20U9SIFM3jD5h7URgFfunSqMLDtiAwE8s7Kr3ruS9mHVK2nt8twdNa5JnuaSueG1X1VZcpbKOMaGzdoUzhhXKOVGtqRjdW5kb5qdgFdMn2Qt37dKHIspLiRP+qazBc+6ooum/Oau8vr6bk1nY6sv51eKF5fT5YI47I+163tovOJW6KP/vpw9yR+c8JI7/e4X6B/cVJhjjfzw2rUOkCPHZktHjBYjeAVbbPYuN5SUks/eXYtZSXG0NtXz/T7N1BJx7zkZHGX17mrU/PDzL1Ro462pG6FjesIAJu3r26ZJzaQkQYWXxjXVtRyZCfH0smFOdQ/LTL6hvcE1BpTGYn2GdVHGC0eR480LPVs+NG+5LaFQ1XXxtnVN1Wrl9xqAR1EMCYPTBMto4KhFHOx+xwhcmtUwMvMY5YGixwbf5w7qT/NHZop+lybgbLHrp5MjkD9Y5GtAeYOyaLjR2nTNWDcRZcR0N6VOeEiZ4nb+3CHAkbrQ1/sEpkeRw3Lss249raoVHneQmVfbjlUS8u+P0D9U+Pp4ul5Rzwv5zWrjWusadhzBwvslNY2i69Otp+Sa7LMgNJT6rW3ooGunVsQVEQ2GNBcwTlITwgfkzR8PgkTEjf1hLSLeBVRGL2M7ptCvz0xeO9cxl68tcjwBrugnsmf0SKNam8LJR3GxOCsRPFQixM15mp6Onsj1xZFoIZnJ9M/fjQh5N8pN8ROOyCcRkajpQETqFcsHmawu6yeznnqG+/PZmVYjVCo9K4pqqT5Q7NMeV3GGeR9iaj1wuHZVN/Saktqr1rkdatXdVnJ0Q+toNb2dnru4ik0MN2eGmhoLMgSCrOcZk5E/IurG+mVdQeEwebPuIYquh19pbvm0TaRVeSvIwaya2QAzCnmDc2ip/smU6bOMUeP7B2H6w2ldN+yYCiFG+6ZmRjGAmRETKaRMeGN3GwhSQMeY3+bLxhS9326Q2yGbpg3mKJtMji9EUHPtWjEuNaK2yLX8njkuXA6XVdu7JA170TtITZfiHLoEWj699d7aHd5A509oZ/uyIESiAqhl/CAdHsycpI9gkoAvbXNymLA69x81BD6+2c76bk1+2nywHQRkWN6duS6raNDdW9kZ7QTjGUIwikMxxZexg7Btvc3l9C/v95LWZ4SqbT4aFvXCW8pVwjjeunaYlq+s4xOGJ1DJxX2Df16fow9lP7ILggZ+LwtgR2IZhnXHR4ncpJPZwUY3TBKAUT6nALjLsdeD/J8Wu2s6Gnw2YgANhyopidXFtGwPom0ZO5giiQSZZ2rFTXXre1iU4zJ3Ko+vYw2YKQhPQlGdSAjCQsdPNvgxvlD7Hf0eK7F/1w2nQ6U1FCsDmMOhvmmQzXiGpxZEDql2C19YZWpnaAgM4FmFmQ4urmQRv/5UwYIp4zdfLmznG5etoFG902mpy+crPn/IVa3dl+VaZHZ/MxE8QjGG98fFJEKGKuBemGrRekA+80JI0zd2Cs1Fe75cBsb1z0Yo6r6VnPymL7CuTVxQFc/bj3AKSztczsMFtS57iyrp32VDeLnPj6t8WwTIQ0xrtsP14rWjYhIG+mkcd/isVTT3CrSkGssNK6xpiBbFE7T2qYjjeufv7GRth+uE99ryUJzG7KrhGzhyHQSNmcD3r5Vq1bRoUOHaMyYMTR0aPilGejlYHUTfb6jjGoaWyjSkBExKyT+X1y7nx74fJcQ/4DaLeMO0Ns2VC2m7AtsZ6mEr1AUegRnJsVSq47NYkVDC1394nohUPblzfNC/r1M93PauPb2UPak5p01ob94WMXh2iY6/+lvhRPsw+tmB/w71Bc6lZoW09tYWqSsIbRT3Ok/q4tEnd3w7CTDxjU2oTgHuEYRBUkyoXe2RGkoOJ21wZhV8hM4zdZJZg82ppsggXK2vC/sUENHyy+lQKudIp8AmjVwLGYlxZkyz3nnUz/rKhzu0LeIjo6yPGMNJWnJHs2fOlFi4//zTeif6qhuT21Tq+j9DYf3lbPzNf0vSiBkOrgR4/r+z3bSS98V00VTB9LVcwooHAgL47q+vp4uv/xyKi8vp2HDhtFvfvMbuuKKK+i6665z+tBcgdy0maXC2pPolxpP+RkJlqSduiUayGjjcF2niEh2sjGjQCu5qXEi7XVwZoJphjo2RK3oBhDiGvz3eROFYIkTQm5KfnfiSHEvmqkyHYzoqCjhiABu3JB3r9XUFzaXtdFJJs1xZXXN9NXucjGvBRIBkw4qMyJr2ITieq5qaxURHjNRGgpO6w0wxns//+mU0VRc1Ugz7v1ClC48/5MpYXdaK+o7760Mm0Su+visg3Yb1+dPGSgeoZClfaEcDl7RTBeotkM0Dca1v3nt74vHipRxGPxOasPgPD34xS7CEVw+a5CmNVJGrYFR/YOm1i5DPRwIC+P6scceEwb266+/TvHx8bRmzRq68MIL6eijj6bRo0dTpCMv2EhsxfXzY4ZZ9trS0xuJ59XNIL3tUE2TEILxF1WD8QCM1BnpYVTflG61gr99YyM1NDaLNkpaNzRK4xRphGkJwa/BdNFD2DlF0kAbOTWOASMo+5gjkhHIyYaFvaK+WTxvt3KrUZVhWbduVq9w3D+/e3crDUyP92tcw0khMw9Qn2kG2ICCHz+9hlb/dD6ZRU5KHI3KSabNJbUU7XAbOsYYUkQPjh/gNn1WRAC3ltYSOkVNyUvX/TrSGZjh6ftuNb5rj91OZ7V4M75CGNfBygeKKhpoXXEVFWQl0cKMJLKaqXlpVNc3WWTJST7eWir25FPz0sX85DTJnkyhDk+LxRQNc7qst4ZuhpEswHipWG5BhqlThIVV8Oabb9LixYuFYQ2mTJlCEyZMoLfeesvpQ3MFbhEzCjfk5G2H6AijLcXomqXrhfhJ0Mi1zca1L0u/KaIXvy3WtaDAIJVOHSt6uNtVyrPgoRW08KEv6WB1oyXvoYxWBotkfF9cTaf+cxVd9eI66mm1pN7ItUnGdahWXNiAydp0s9r1/GhSZ2nAaWMDCxXpAVGuK2Z1lonER2DmVjjibaXkoh7XYOPBGlGq8+ePtht6nUpP5NouJx/6MEuzCJkBJwcRC7OSUP2rpVZJKCeit4bbz3z/7b5K4Tj891d7yA7uWjSS7jm1UHStkED/6Df/2yL6YLsBrD9yLyGdplpsC1ynepXGJdLpzZFrF1FVVUXFxcU0fPjwbr8fMmQI/fDDD44dl5to8mzeOcJqLnIzzE4Ld5Hm2fArU5aUHPb0lrRbuEVuILAgJfXuZajPtdxcdvZ8DW1c/+3j7cKzfOWsfEfb1+wsqxMOBXjHL5sxSBw/1nOreqriM2Pj2BHCePWWzjjgKJPvqSeNEVFkmS6ZaJNxXeXR7kA0xqy577ajh9G1cwdbUjcuncuy5Q/Tc1m3v4oe/mKXV7PCTcgIsMyM0gsi1hB5HJObQnYARy0MJETMUUJXYLO4FjKGrnhhnThvH103O2AEVG3kOjcljl6/YrrfuQn6QyDNwb7S0rnvxP4jEKiXbmpt1mxcj+ybTB9cOyukY0R95JrTwl1lXIPU1O4Kgvh58+bNul8XggduBp63RzyLjD+evGASjfe0ZXlvc6nX4+f2z2U2b244SA98ulNMaP7m7NuOGUY/9tT7fFtUSVc+/13A17p+/hC6dGZnFOSHgzW09Ltib3TE7PPa27Phll8Z9XSmQBM9snw3PfblbvE9Ftqvbu1MN8XmAYquSBm3837AJuLYh1YcoUidHB+t6zhgXJfXt9Dd72+lZz21hxAtXPDAl0f8rXzPy2fnOzoH1LW00avrO5Xan15V5F1YUxKiLas7g1MRHvEbX91ASy+b5v39Wf9a5e0zKvcGcTFRppwfLfdvoqcVFTIQ5HtD1OiYB48cR8lJY/rS3SePprqmVloyt4AeXb6bUhJiTDn2VM/GE+dsxr2fi+8fOXcCzSjIEN+/sHa/14ll5rWUatF1WevZlBdVNpp2vDw/O8M9H24X4wiS4qzbz+gZ336e1nVw6sr7Bvzi2OF07uQB4vtv9lbQ1S8Ezo656aghdPGMQbRwZDbZydDsJBEx70ArQpvXh4zkWFFHjzZZs+77gpTLAIS+3rx6ZucPnjkaa0WwY8RzgzwO5E0Ha+iip9ccsQ5Oy8+wbX8F0a/bXttIy3eUdTuG3LR41+zH4ezGHvmi/35Ldy4aQWdN7Mwk+np3OV23dH3A/7tl4VC6cNqRvcS1kugZrw+3ltJfo8dQOMzR7nL96aC1tdPTEhXV/QRio6bXmxIV1YsybKjHMEJsXEzQtjEpqQnez3Du9Dy653+bac6IHNd/LrMZ3j/dG2nxd74SEmK95ySlsinoOY1PiPH+bWp9q1eZcpaF5zU11bj4VaQxf3RfeuabfaIFhhxPTAVyjC5fOJy+2V9N8wtzbb0fUtMSaUTfFNp8sMb7u8J+qTQgJ1XMOVqZMzybXlhdRBMGpXs/R1RDS8BreHhOMhX0S7dVId2XqQmxou4aKt7yMOcM60OZmV1pc2YzfUgWfb61lHr5zOv42fdczRqWbeo1oeb+TU5NoMF9kmjmkKyu945tDjoXxcZEi79N7+igmxaNohW7K6hfdoopDoq0tEQaldt5ncpjSEmJ9x7buEGZIvsA119PWE9mDM+hmI+200Wz8k0/Xp6f7eWsqXn053c7gyZzR1q/n9EyvrgXJwxMo3X7qrrduwmJXXuM5PLGEHuMrr+1k5evnUNOMm94H/pkS6lYE7pt23t1zdmf/HwhtXtOntr1MrWu9YjzPbJvCp0/e7At929FXTOd8vfPqaSmM2Iuwfw6bECGrnXfCuYOz6ZdZXvE+VderymHG4Jer8r9sxFmjcyh+I+2CcHVcJmje3UYjec7TGlpKc2dO5eeeeYZmjatKyrx61//mnbt2kX//e9/Nb9mW1s7VVd39vxzK+jhFxUXQ7U1jeJ4fUHai6wFRq1Ka3s7pViUeul2EN0J1IorKTbaW8MDD6NUwfUHUhZlKpr8W0StoQhpNvC2YVLAdehvfJnQ4jK+tcxKMS2MnxO18rgPESHA+CanxFMMxlbnFIypG8qyMYj8eq5BpAmXB0hLREQf6tlOg/TsakVbQAjLWamWivOElEM4FZRq6eX1zd7NGvB93s77V7Y0UTOOMhov53N8PnwMM50m8jqVIG1fplliLsWagvRVJ1VutV5zZpbv8PzsHFh3cdlZVUpiZHzh0EWGkpIkDXsM5d9GEnKO9gXGp5F6Xn/nG3N8bExv2/ZX2IdgP+J7DE46uf2B9QbrDvazUpHdd632JcnE67WhuU2sLWhP6uY5Gq+pJhre4yPX2dnZIgV879693YzroqIi0ZZLL3p6z9oJNlcZ2Jy3tvk/1o6uzxAT1Ytionq7/jNZWdMYrJZSnhdMdekhFmx/f2vlecWkEKnjZoT43lHioUR5HjF+Tp1XXDfRnvu3oqLO0HGkeowx5WsEvIbbO40mp4nyOcY2obpvrY/X372a6qdm0+xrQu39i+sxoXeUunH04Pu6SKs0E9/3964nvXpRTFy0LeNm5jVnxf3O87P9yJZzdszfesbX332rZ48RaQQ6L0bOh7/z3dHe4TW27Lh/o3v18nsMZs/XRpF7CSDPie9a7Q+zzl8M7JS4aMfWYLNxPoxhAgsWLKB3333X+/PBgwfp22+/pYULFzp6XAzDMAzDMAzDMExk0OMj1+DGG2+ks88+m6699lqaOHEivfzyyzRv3jyaP9+8fpkMwzAMwzAMwzAME9aR67y8PHr99depsLCQSkpKhJF9//33O31YDMMwDMMwDMMwTIQQFpFrkJubS9dff73Th8EwDMMwDMMwDMNEIGERuWYYhmEYhmEYhmEYJ2HjmmEYhmEYhmEYhmEMwsY1wzAMwzAMwzAMwxiEjWuGYRiGYRiGYRiGMQgb1wzDMAzDMAzDMAxjEDauGYZhGIZhGIZhGMYgbFwzDMMwDMMwDMMwjEHYuGYYhmEYhmEYhmEYg7BxzTAMwzAMwzAMwzAG6dXR0dFh9EXCDZyS9nb3n5bevaOora3d6cNgLILHN7zh8Q1veHzDGx7f8IbHN7zh8Q1/eltgI0VF9aJevXqF/Ds2rhmGYRiGYRiGYRjGIJwWzjAMwzAMwzAMwzAGYeOaYRiGYRiGYRiGYQzCxjXDMAzDMAzDMAzDGISNa4ZhGIZhGIZhGIYxCBvXDMMwDMMwDMMwDGMQNq4ZhmEYhmEYhmEYxiBsXDMMwzAMwzAMwzCMQdi4ZhiGYRiGYRiGYRiDsHHNMAzDMAzDMAzDMAZh45phGIZhGIZhGIZhDMLGNcMwDMMwDMMwDMMYhI1rhmEYhmEYhmEYhjFItNEXYOxny5Yt9MMPP1BOTg7NmDGDevfuzcPQg9i6dasYw+TkZJo0aRKlp6d3e76oqIjWrl0rnp8zZw7FxcVpep5xB4cOHaLPP/+czjnnnG6/Ly0tpdWrV1NUVBTNnTtXjKOW5xlnaW5upq+++ooqKipo3LhxNHTo0G7P19TUiOebmppo1qxZ1KdPH03PM86CcVm1ahVVV1fThAkTaODAgUeM/5dffklVVVU0ZcoUysvL0/Q84wyVlZX09ddf0wknnNDt9+3t7bRy5Uo6ePAgFRYW0siRI019nrGHlpYWeuONN+iss87q9vu2tjb65ptv6MCBA9SvXz+aOnXqEXtm7Kd2795NBQUFYk/mS6jnGXt47bXXxP0bHx/v93mMU319vdgXK9m8ebN49O3bV9hM2FtpeV4PvTo6OjoMvwpjG/feey+9+OKLYlP2/fffU3Z2Nj3xxBOUmJjIo+BycKvdcccd9MknnwijqaSkRBjaf//738V4gqVLl9I999wjnt+1a5fYqD399NPiplfzPOOesb700ktpzZo14j6VwNi++eabafr06WKzt3fvXnH/jho1StXzjLPs27ePLr/8ckpISBAbrU8//ZRuuOEG8TuABRrjPnz4cIqNjRXjf//999P8+fNVPc847xC75JJLhMMyPz9f3I+//OUvvQ4yPH/RRRdRSkoK5ebmCiMaz5977rmqnmecAQYW7tP9+/fT66+/7v09NuKXXXaZmGthFH/xxRdi/G655RZTnmfs409/+hO99NJLwsBSOqpxP2M9HjNmDK1fv17slf/9739TZmamcIxgrL777juaPHmycJJgL/bXv/5VGFihnmfs45lnnqG7776bli9fLuweX+DcOu2002jmzJn0wAMPeH+PsXr55Zdp9uzZtG7dOuFg+de//iXWcDXP6wbGNdMzWLt2bUdhYWHH1q1bxc81NTUdJ5xwQsf999/v9KExKnj77bc7Jk2a1FFcXOz93Z///OeOuXPndrS1tXUcPHiwY8yYMR2ffPKJeK65ubnj4osv7rj11lvFz6GeZ9zDE0880TF69OiOsWPHen/X2NjYMXv27I6nnnrK+7vbb7+94+yzz1b1POM8F110Ucdll13W0draKn7+8MMPxZy8f/9+8fPixYs7fv/733v//tFHH+2YM2dOR1NTk6rnGWfB/fajH/3IO77Lli3rGDduXEdpaan4+aabbuq48sorxXwt53Q8f+jQIVXPM/ZTVlYmxmTEiBEdp512Wrfn7r333o5TTz21o6GhQfy8bt06MW/jqxnPM9ZTV1fXceedd4rxnThxYrfnfvazn3VceOGF3vsZ8+zpp58u/h68/PLLHTNnzhTXCNi3b1/H1KlTO958801VzzPW09LS0vHggw92jBw5UoxxSUnJEX/T3t7e8ZOf/ETcezfccIP396tXrxZ75u3bt4ufq6qqOo4//viOhx56SNXzRmDXSw/irbfeEt4zRD0A0kWRAvP22287fWiMCnr16kXXXXed8IxJTjzxRBHBhkf9vffeo6ysLFqwYIF4LiYmhi688EL68MMPRapiqOcZd4CU/4cfflhEKJUgJRERDmWaOLzq8KYjQh3qecZZ9uzZIyIXt956qzetcOHChXTeeeeJFHFkkmzcuFH8LMH9WV5eLtKMQz3POA+yTBCZkuN71FFHibkVZVj4irkWUWgZtTrppJMoLS2NPvjgg5DPM/aDtfX4448XpRhnnnmm3z3VGWec4U0zHT9+vNhjyT2V0ecZ61m0aBF9++23R6y3YMCAAXTVVVd572dkCx1zzDHi7wHGCdcHotjy74877jgxrmqeZ6znkksuEdm6119/fcC/eeqpp6isrEysx0owTtOmTfOWbqWmpop5QHn/BnveCGxc9yCwwA8bNqzb73BRoBYE6UmMu4EhLdNHJdhwYyMGR4m/8R0yZAg1NjaKvwv1POM8SNO/7bbbhBNlxIgR3Z7D+MGxoizhGDx4sHC6IF041POMsyBlDOm+o0ePFuncSC/duXMn3XXXXSLlEOOHTRzGTIL7GunBeC7U84zzoLwGzjHJtm3bvL/fvn27qOv0twbj/gz1PGM/0dHR9Mc//pGee+45oVGjpLa2VpR5+GomYE3F/Wj0ecYebrzxRjEX+6634KabbqJ58+Z1+x32SjCigu2p5f0a6nnGes4++2wRWEK6tz9QWvnQQw+J9G44T5RgnHzvT/yMdRvO0FDPG4GN6x4EBFLkpCDBZg9AfIXpWeDmfeyxx4TnNSMjI+j44rlQzzPu0ESAlxveVl/8jR8WA0Q9Ao2v8nnG+SgYxAfhQYdOwscffywWfnwPMEZwjGBDrwQGtBzfYM8zzgPHGLILoI3x+OOP089+9jO64oorxMZdjpG/OViOb7DnGfvBXIz1FQ5KX5AlBJBZ4G+8jD7P2AMyvZDFpwYYUzDUZPYQ9s3B7tdQzzPWc8YZZwTUlFIGM/zp0uAe9b0/sd6iBh9jG+p5I7BaeA8T5fAVUZCLBuvS9SwglPHzn/9cjOlvfvMb7+98x1f+jPEN9TzjLEjrXrZsmfCi+9vM+bt/Af4W4xfqecZ5ZxiU+k899VQREQGIYCO1GwKD/u5PgN8Fun+VzzPOA0EyOLOgLIzxxj2JaDQe+B74W4Pl/RvsecZd4H4E/tZUeb8aeZ5x37197bXX0imnnCIMtkBrrrxfQz3POM99990nHN7+SgIA7lHfvZjvnjrY80Zg47oHAQ+ab/p3XV1dtwgm434wYSMyAi8qakUQtZZjiNqwQOMb6nnGOTAR33777aJNB9TgAWqlMXk///zzov2Hv/sX1wLS+uEtDfU84yxJSUni6wUXXOD9HVotIY1sxYoVQj0c44drQblg4x6V92+w5xlngbIwUkwRCbn44ou92QrYiCO6AQcKwBgq2ydi/JByLCNcgZ5n3IW85+Qa6u9+NfI84x5wHyObDOszygQA5mA5J/uOH9bbUM8zzrJx40Z68skn6eqrr6YXXnhB/A7aNHLPBSd4oPEDyjU50PNG4LTwHgRqeXyFjRBJQT0Y3+w9A0RAfvrTn4paPtSBKcXNML4YTyUYb9RpYuMe6nnGOWAwoZ0SNtGyvra4uFj8Ht9DtArjh9+1trZ6/w9CdlgMUNcV6nnGWTA+gSJVSE/D87i/0RJEgt/jZzm+wZ5nnAW1e4hWQ4RMgvsZAmcQQMIciw23vzUY4xfqecZdwKmNh781FQ4zo88z7gBrKLKL0L8YdbnKspxAe2p5v4Z6nnGO3r17C/FIiInKPRdSuRGAwvdYawPtmSFMh1ZboZ43AhvXPYijjz5aqNUePnxY/IxN9zvvvCN+z7gf3OzotYnN9H//+1+h/K0ESocQUlCKZUDNEEIOiJqFep5xDhhYv//977s9oDqJBQDfY2FHH0XcszKyDd58800aNGiQWKxDPc84C3qPI4L5xhtveH+H+3HHjh1ifAsLC4U4mVJp9P333xf1gPjfUM8zzoKNFu5jpXI7nB+bNm0SxhLGHhkoWHMlyE7B5gwdHEI9z7gP7J0wXjIFFKnDq1evForSZjzPOAvuPRjWJ5xwAv32t789wjGK8VN2W0EUE1oack8d6nnGOUaNGnXEnmvs2LFincX3cHxhnL766isR3JCZgP/73/+6jW+w543AaeE9iGOPPZYmTpwo0hIXL14sJnF45VB3wLif+++/XxhOMLBhNCmB6AomC4hzQFH8xz/+sVC1xN8jwg1CPc+4G6SKolYXtfZIO4WHdenSpfTII4+IRT/U84yzoBb37rvvFiJX2LRlZ2eLew8bN6lIe+edd4pWXXCgwfP99NNPi3IBmTIc6nnGOZBFhLkZ47Fhwwbh/MRGCw6vJUuWiL/BvXnRRRdRQ0MD5efn07PPPivSTWWkMtTzjLuAOCFECdGuCSUer7zyikj/Rws2M55nnAP3LYSuYBjj3kaqsARzL8o9YHi/9tpr4p6FQwRiZxDBQ0QUhHqecTeLFi0SKePnn3++sJmgi4MSgWuuuUbV80bohWbXJnwGxsboJwSTEL3s37+/iI4p67sY94J2Abhx/YGbGeOJ2xETOISS4HnDAoDfS0I9z7gHRK1wr6JVkxJ4Sj/77DOxwKM9m28LkVDPM86CSDWiVWjFgxo+XzViGGa4RwE22YhmKgn1POP8fbt8+XLh3ELGCGr3lC1e0PoS2QswoNEj1TfKEep5xhk++ugjkfovHSXKWvtXX31VRK/QUu/kk0/29kU243nGHtauXSvmZTgwAdKFAwWeUE8LJynAPA6nCNqqIXsFRpbsW67mecYe9u7dS//617+EAzNQGexLL70knCo/+tGPumUfYR+GFotI94bNpFQID/W8Xti4ZhiGYRiGYRiGYRiDcK4hwzAMwzAMwzAMwxiEjWuGYRiGYRiGYRiGMQgb1wzDMAzDMAzDMAxjEDauGYZhGIZhGIZhGMYgbFwzDMMwDMMwDMMwjEHYuGYYhmEYhmEYhmEYg7BxzTAMwzAMwzAMwzAGiTb6AgzDMAzDWEtDQwP961//Cvl3EyZMoPXr19OUKVNo1qxZjgzLY489Ri0tLeL7RYsW0YgRI0L+z0svvUQHDx4U30+dOtWxY2cYhmEYI3DkmmEYhmF6oLH90EMP0YoVK8ht/OMf/9B9XA8//DB9/fXXph8TwzAMw9hBr46Ojg5b3olhGIZhGFMoLy8X0d0rr7ySbrvtNled1UmTJtEFF1yg67gKCwvFZ7rlllssOTaGYRiGsRJOC2cYhmGYMAIRbWVaOH4+/vjjqb29nb766iuCT3327Nk0atQoOnz4MH300UdUX18v/mf8+PFHRMg/+eQTKioqoszMTFq4cCH16dNH13EhIr1582ZqbW2lYcOG0Zw5cygmJsaUz8wwDMMwboDTwhmGYRgmjHjkkUe6pVbj57vuuotuuukmKikpEcby4sWL6S9/+Qude+65tGXLFlq9erX4/pVXXvH+HwzhE044gR544AGqqKigDz74gI477jj6+OOPNR1PW1sbLVmyhH7xi19QcXExlZWV0R//+Ec67bTTqLa21tTPzjAMwzBOwpFrhmEYhglzYNT+73//o+TkZCE2dtRRR9GTTz5Jy5YtExFsgHTs//znP3TWWWeJ6PL1118votXPPfccJSQkiL+BUfzTn/6U3n//fcrOzlb13itXrhQGOUTLZGT88ssvp+eff54OHTokjolhGIZhwgGOXDMMwzBMmLNgwQKvEYtU7Pz8fBo8eLDXsAZI1YYRDpA+jlRwGNzSsAaXXnqpSCF/5513VL93XFyc+Praa69RTU2N+B6p5TfccAMNHTrUtM/IMAzDME7DkWuGYRiGCXOysrK6/RwdHX3E73r37i1SuMGOHTvEV6SXy++Vf+f7u2CglvuSSy6hZ555hpYuXSp+nj9/Pp1yyinUt29fA5+KYRiGYdwFR64ZhmEYJsyBQawFaWQro9YS1E/PmzdP0+vdcccd9Pnnn9Pdd98totaPPvqoqN9GhJxhGIZhwgWOXDMMwzAM0w2kjct0cqk6Dpqamuif//wnpaenaz5jiJRDSA2PyspKOvHEE+nZZ5/t9voMwzAM05PhyDXDMAzDMN1AZBqCZY899pgQQJNA8Ozhhx+m1NRU1Wfsm2++Ef/T3Nzs/V1sbKxoCaZWFI1hGIZhegIcuWYYhmEY5ggRMvTHvvbaa+mMM84QxjbEzj799FPR1mvkyJGqz9iAAQPo1VdfpXfffVf0tu7Vq5dIEUf0+5prruEzzzAMw4QNbFwzDMMwTA8DtdBolQVxMF9gECt/j5+nTZvW7W+Qmu3L7Nmzu7XFmjhxouhtDYN63759QtkbvaphLGuhX79+9Pbbb9Py5cuFAjki4bfccosQNUMEm2EYhmHChV4dyMtiGIZhGIYxgUmTJtEFF1xAt912m+b/LSwsFO2/YHwzDMMwTE+DI9cMwzAMw5jKmjVr6MEHH6RFixbRiBEjQv79Sy+9RAcPHqT29nYeCYZhGKbHwsY1wzAMwzCmcfXVV3cTQdPCddddR1OnTuXRYBiGYXoknBbOMAzDMAzDMAzDMAbhVlwMwzAMwzAMwzAMYxA2rhmGYRiGYRiGYRjGIGxcMwzDMAzDMAzDMIxB2LhmGIZhGIZhGIZhGIOwcc0wDMMwDMMwDMMwBmHjmmEYhmEYhmEYhmEMwsY1wzAMwzAMwzAMwxiEjWuGYRiGYRiGYRiGMQgb1wzDMAzDMAzDMAxDxvj/fHOAzRtVw3UAAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plot_road_loads(df, veh, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.14.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/content/coast_with_grade.ipynb b/docs/content/coast_with_grade.ipynb new file mode 100644 index 000000000..b47db3920 --- /dev/null +++ b/docs/content/coast_with_grade.ipynb @@ -0,0 +1,197 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "cell-0", + "metadata": {}, + "source": [ + "# CAVS: Coasting with Grade\n", + "\n", + "This Connected Automated Vehicle (CAV) demo configures coasting on a\n", + "custom cycle that includes elevation changes. The plots show both speed\n", + "and elevation for the original and modified cycles." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "cell-1", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "\n", + "import seaborn as sns\n", + "\n", + "import sys\n", + "from pathlib import Path\n", + "\n", + "sys.path.insert(0, str(next(p / \"demo_scripts\" for p in (Path.cwd(), *Path.cwd().parents) if (p / \"demo_scripts\").is_dir())))\n", + "\n", + "import fastsim as fsim\n", + "from plot_utils import plot_speed_by_time, plot_speed_by_dist" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "cell-2", + "metadata": {}, + "outputs": [], + "source": [ + "sns.set_theme()\n", + "\n", + "SHOW_PLOTS = os.environ.get(\"SHOW_PLOTS\", \"true\").lower() == \"true\"\n", + "SAVE_FIGS = os.environ.get(\"SAVE_FIGS\", \"false\").lower() == \"true\"" + ] + }, + { + "cell_type": "markdown", + "id": "cell-3", + "metadata": {}, + "source": [ + "## Build a Custom Cycle with Grade\n", + "\n", + "This cycle has two acceleration/deceleration segments: one uphill (+2%\n", + "grade) and one downhill (-2% grade)." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "cell-4", + "metadata": {}, + "outputs": [], + "source": [ + "cyc_d = {\n", + " \"time_seconds\": [\n", + " 0.0, 10.0, 20.0, 30.0, 40.0, 50.0, 60.0, 70.0, 80.0,\n", + " ],\n", + " \"speed_meters_per_second\": [\n", + " 0.0, 20.0, 20.0, 00.0, 00.0, 20.0, 20.0, 00.0, 00.0,\n", + " ],\n", + " \"init_elev_meters\": 1000.0,\n", + " \"grade\": [\n", + " 0.02, 0.02, 0.02, 0.02, 0.02, -0.02, -0.02, -0.02, -0.02,\n", + " ],\n", + "}\n", + "cyc0 = fsim.Cycle.from_pydict(cyc_d)\n", + "cyc = cyc0.resample(time_step_s=1.0)" + ] + }, + { + "cell_type": "markdown", + "id": "cell-5", + "metadata": {}, + "source": [ + "## Apply Coasting with Grade\n", + "\n", + "When `favor_grade_accuracy` is true, actual elevations are used for\n", + "grade-per-step estimates instead of the step start distance lookup." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "cell-6", + "metadata": {}, + "outputs": [], + "source": [ + "veh = fsim.Vehicle.from_resource(\"2012_Ford_Fusion.yaml\")\n", + "veh.set_save_interval(1)\n", + "\n", + "man = fsim.Maneuver.create_from(cyc, veh.copy())\n", + "d = man.to_pydict()\n", + "d[\"coast_allow\"] = True\n", + "d[\"coast_brake_start_speed_meters_per_second\"] = 8.9408 # 20 mph\n", + "d[\"coast_brake_accel_meters_per_second_squared\"] = -2.5\n", + "d[\"favor_grade_accuracy\"] = True\n", + "d[\"coast_allow_passing\"] = True\n", + "d[\"coast_max_speed_meters_per_second\"] = 33.5280 # 75 mph\n", + "d[\"coast_time_horizon_for_adjustment_seconds\"] = 120.0\n", + "man = fsim.Maneuver.from_pydict(d)\n", + "\n", + "cyc = man.apply_maneuvers()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "cell-7", + "metadata": {}, + "outputs": [], + "source": [ + "sd = fsim.SimDrive(veh, cyc)\n", + "sd.walk()" + ] + }, + { + "cell_type": "markdown", + "id": "cell-8", + "metadata": {}, + "source": [ + "## Results\n", + "\n", + "Speed and elevation for the original and modified cycles." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "cell-9", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "if SHOW_PLOTS:\n", + " c0 = cyc0.to_pydict()\n", + " df = sd.to_dataframe()\n", + " plot_speed_by_time(df, c0, title=\"Coast with Grade\", with_elevation=True,\n", + " save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)\n", + " plot_speed_by_dist(df, c0, title=\"Coast with Grade (distance)\", with_elevation=True,\n", + " save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.14.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/content/conv.ipynb b/docs/content/conv.ipynb new file mode 100644 index 000000000..371463363 --- /dev/null +++ b/docs/content/conv.ipynb @@ -0,0 +1,341 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "cell-0", + "metadata": {}, + "source": [ + "# Conventional Vehicle Demo\n", + "\n", + "This demo simulates a conventional vehicle over a drive cycle and\n", + "visualizes the fuel converter and road load behavior." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "cell-1", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "from pathlib import Path\n", + "\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "\n", + "import fastsim as fsim" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "cell-2", + "metadata": {}, + "outputs": [], + "source": [ + "sns.set_theme()\n", + "\n", + "# if environment var `SHOW_PLOTS=false` is set, no plots are shown\n", + "SHOW_PLOTS = os.environ.get(\"SHOW_PLOTS\", \"true\").lower() == \"true\"\n", + "# if environment var `SAVE_FIGS=true` is set, save plots\n", + "SAVE_FIGS = os.environ.get(\"SAVE_FIGS\", \"false\").lower() == \"true\"" + ] + }, + { + "cell_type": "markdown", + "id": "cell-3", + "metadata": {}, + "source": [ + "## Setup and Simulation\n", + "\n", + "Load a vehicle and drive cycle, configure per-step state recording, run the\n", + "simulation, and extract the results." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "cell-4", + "metadata": {}, + "outputs": [], + "source": [ + "# load 2012 Ford Fusion from file\n", + "veh = fsim.Vehicle.from_resource(\"2012_Ford_Fusion.yaml\")\n", + "\n", + "# Set `save_interval` at vehicle level -- cascades to all sub-components with time-varying states\n", + "veh.set_save_interval(1)\n", + "\n", + "# load cycle from file\n", + "cyc = fsim.Cycle.from_resource(\"udds.csv\")" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "cell-5", + "metadata": {}, + "outputs": [], + "source": [ + "# instantiate `SimDrive` simulation object\n", + "sd = fsim.SimDrive(veh, cyc)\n", + "sd.walk()\n", + "\n", + "df = sd.to_dataframe()\n", + "sd_dict = sd.to_pydict(flatten=True)" + ] + }, + { + "cell_type": "markdown", + "id": "cell-6", + "metadata": {}, + "source": [ + "## Visualize Results\n", + "\n", + "The following plots show fuel converter and road load behavior over the\n", + "drive cycle." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "cell-7", + "metadata": {}, + "outputs": [], + "source": [ + "def plot_fc_pwr():\n", + " \"\"\"Plot fuel converter powers\"\"\"\n", + " fig, ax = plt.subplots(2, 1, sharex=True, figsize=(10, 6))\n", + " plt.suptitle(\"Fuel Converter Power\")\n", + "\n", + " ax[0].plot(\n", + " df[\"cyc.time_seconds\"],\n", + " (\n", + " df[\"veh.pt_type.Conv.fc.history.pwr_prop_watts\"]\n", + " + df[\"veh.pt_type.Conv.fc.history.pwr_aux_watts\"]\n", + " )\n", + " / 1e3,\n", + " label=\"shaft\",\n", + " )\n", + " ax[0].plot(\n", + " df[\"cyc.time_seconds\"],\n", + " df[\"veh.pt_type.Conv.fc.history.pwr_fuel_watts\"] / 1e3,\n", + " label=\"fuel\",\n", + " )\n", + " ax[0].set_ylabel(\"FC Power [kW]\")\n", + " ax[0].legend()\n", + "\n", + " ax[1].plot(\n", + " df[\"cyc.time_seconds\"],\n", + " df[\"veh.history.speed_ach_meters_per_second\"],\n", + " )\n", + " ax[1].set_xlabel(\"Time [s]\")\n", + " ax[1].set_ylabel(\"Ach Speed [m/s]\")\n", + "\n", + " plt.tight_layout()\n", + " if SAVE_FIGS:\n", + " plt.savefig(Path(\"./plots/fc_pwr.svg\"))\n", + " if SHOW_PLOTS:\n", + " plt.show()\n", + "\n", + " return fig, ax" + ] + }, + { + "cell_type": "markdown", + "id": "cell-8", + "metadata": {}, + "source": [ + "Fuel converter output power (drivetrain + auxiliary) and fuel input power over\n", + "the drive cycle." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "cell-9", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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jYKPAfMEFF8Dy5cuZcD1mzBj2+vjx41mc9urVqy2fR9fxCRMmFH2+bLY+3K5x4NRLW4nCof5tbKh/Gxvq38aH+rixof5tbKh/GxulyjJS1bOI5yOZTMLZZ5/Nym7dcccdhnAtXMG32247SyI0VVXho48+gt12261KLSYIgiAIgiAIgiBGIjUvYJ9//vnMIn3zzTdDe3u74/0zzzwT7r33XnjllVegp6eH1cRGl/Hjjz++Ku0lCIIgCIIgCIIgRiY17SI+ffp0ePXVV9nvO+64o+W9PfbYg7mLf+UrX4G1a9fCH//4RyZgo0Ubs5J3dHRUqdUEQRAEQRAEQRDlA712FSVLt1hCVUOQTEYgnU6Bovgv1RWJRFmp56AIaVj4mbD47Hd3D9X0HYlGwyzTeU/PEMVgNyDUv40N9W9jQ/3b+FAfNzbUv41NI/Qvim79/d2QSAxWuyk1STgcZsqHQmlpaYfOzjGeta7HjGlrrCRnBNHoZFfMg3BbF4Q7xle7KQRBEARBEESNIoTr9vYuiMebPAXCkUokEirIeo0KC7R4Dw72sL9HjRpbchtIwCaIKqP2rYDEE5ez31tP+TNEx29Q7SYRBEEQBEEQNYaqKoZw3d7eWe3m1KyXQrZA7wRUVCAoZHd0dJXsLl7zSc4IotFRB9YYv2e//KiqbSEIgiAIgiBqE0VRLAIhERzingYR104CNkFUGS2dkP6glAgEQRAEQRCEN+QWXtv3lARsgqgyWnpY/quKLSEIgiAIgiAIohRIwCaIakMWbIIgCIIgCIIw+OUvz4ebb74RiiWVSsJll/0WTjjhK3DBBT+BbDYLr7+ul38uN5TkjCBqyUWcLNgEQRAEQRDECGdgYAASCXmPXBivvPISvPrqK3DTTbfBuHHj4c47/wtvvfUGHHjgwVBuSMAmiCpDMdgEQRAEQRAEERy9vb0wbtw42GKLrdjfmUwGKgUJ2ARRZUjAJgiCIAiCIEYSS5Yshptuug7mzp0D7e3tsM0228EPfnA2dHV1GZ8ZGhqEa6/9G0yb9g5LQvaVrxwL3/72d9h7fX298N//3gIzZ86A1atXQVtbG+y1175w7rnnwXXX/R2eeOJRSKfT8NWvHgp77rkPvP76K8xNHP/+z3/uhgkTJpbt2kjAJohqQ0nOCIIgCIIgiCLRNA3SmcJqPwdJPBYuOAv3xRf/HHbddXe47rqbIZEYhquv/gtcddXl8Oc/X2l85tlnn4JzzvkZXHvtjfDBB+/B5Zf/ATbeeBPYb78D4dJLL4FIJAKXXPI7Jly///40+MtfLoNNNtmYCeodHZ3wzDNPwS23/I99rqtrDEyf/h78/e83QmdneWuIk4BNEFVGy1CZLoIgCIIgCKKIfaSmwRV3fQDzl/ZV7fZtPmkU/Ppbu/gWsrPZLCxa9CWccMLJMHGibkm++urrIJVKWT63++57wmmnfZv9jtbr+++/Bz799BMmYP/xj5dDa2sbxGIxy/vLly+D1tZWaGpqhnA4BKNHj2bvNzU1MUFb/F1OSMAmiCpDLuIEQRAEQRBE0QRXwrkiRKNROP3078K1114JDz54P+y1196wzz77M4FaZoMNNrT83dHRAcmkbpgaNWo0fPbZXPjoow9hyZJFsGDB5/Dll1/APvvsC9WGBGyCqDbZdLVbQBAEQRAEQdQhaDVG63G9uYj/8Idnw6GHHgFTprwJ06ZNhUceeRD23fcAuOKKq4zPhMMRV4s9cs01f4VnnnkS9tprH5g8eUsmoN9ww9+hFiABmyCqjaqYv2vVmxwJgiAIgiCI+gOF26a4UxitdTbddDP2c/rp34HXXnsZ/u//fgXLli2F9dZbP+f31qxZzQTyP/zhCjj00MPZa4qiQHd3tyGA2ylUAVAK4YqdiSAIVzQSqgmCIAiCIIgRwtq1a+C4446El19+kQnEKBzPmTMbRo0aBWPHjsv7/UgkyuKpFy/+kv09ODgIV155OfT29jjiuAXNzc0wODjA4r/xp5yQgE0QNWTBJmGbIAiCIAiCaGTGjh0HP/vZhXDzzTfAYYftB4cfvj8rxfXXv17LkpHlA0t5XXjhxfDAA/ey73/zmycxAfqoo74K8+bNcf3O/vsfBMPDw+xcs2bNgHIS0rzs6CMURVGhu3sIaploNAxdXW3Q0zME2Sy5FNc7g3dfANpQD/s9tsNR0L7fN6l/Gxh6fhsb6t/Gh/q4saH+bWzqvX8zmTSsXbscxo5dF2KxODQC6XSaGZgw67cMWqXRSt3S0pLztWQyyYRrBK3X2Wwa2to6IJVKQiqVtpTkQks5vo7Zxwu9t2PGtEEk4s82TTHYBFFtVGmCJ30XQRAEQRAEMUKIx90VBe3t7b5eE8I1gtbvtrYWpjxBgd0utKNw7iZcBw25iBNEtZFjsEnAJgiCIAiCIIi6hQRsgqgympxFHChigyAIgiAIgiDqFRKwCaLakAWbIAiCIAiCIBoCErAJoqbqYJMFmyAIgiAIgiDqFRKwCaKWkpyRizhBEARBEARB1C0kYBNEtSEXcYIgCIIgCIJoCGqqTNe0adPg0UcfhSuuuMLy+owZM+D222+HlStXwnbbbQdnnXUWjBo1yvf7BFGrYN0/q9WaXMQJgiAIgiAIol6pGQv2/Pnz4YILLoC5c+daXp85cyacfvrpsPHGG8P3v/99JkyfeeaZkM1mfb1PEPXjHk4x2ARBEARBEARRz1RdwFZVFe677z74+te/7ioUX3/99XD44YfDueeeCwcddBDcdNNNsHTpUnjuued8vU8QNY2m2F+oUkMIgiAIgiAIgqh7AfuLL75gQvIll1wCp5xyiuU9RVHgnXfegX333dd4ra2tDXbddVd466238r5PEDUPWbAJgiAIgiCIEUYymYTf/e4SOO64I+FnPzu75OP99Kc/hv/852aoBaoeg73++uvDSy+9BM3NzXDVVVdZ3luzZg0MDw+zz8ist956MHv27LzvE0RdJTgjD3GCIAiCIAhiBPDqqy/Bm2++Drfc8j8YN25cycdDmTCVSkEtUHUBGwVrL4aGhtj/LS0tju/gTcz3frFEo1U37OckEglb/ifqFzVjdQkPhzTq3waHnt/Ghvq38aE+bmyofxubeu9fVQ1Bo9Db28sE68022zywY4ZC5v9akVGXkUioZFmw6gJ2LqJRvXnoCi6Dfzc1NeV9vxjC4RB0dbVBPdDZaVUsEPVHNpqGPunveDxi9Cv1b2ND/dvYUP82PtTHjQ31b2NTr/2bTEZgzZpwIEJgNbn66r/BE088CplMBo466iC46KJfw+OPPwq77LIr/OAHPzY+d845P4Ldd98DvvvdH7C/H3vsEXjkkQehu3stbLjhxnDmmd+DPffcyxCqQ1zCLkaBgsqLcDgMo0a15jQA172APXbsWHajUMMh09PTA2PGjMn7fjGoqgb9/cVbvysBDhqcGPr7E6AotizURF2hDgxY/k4NDrJ+pf5tXOj5bWyofxsf6uPGhvq3san3/k2nUyxBtKJokM2a7dfQXJtNV69h0bgh3PrhrLPOhVGjRsPTTz8J//nPXUygveeeuyCRSFquC72VxWuPPfYQ/Pe/t8CvfvVbmDx5C3j//Wnwq1/9HK644irYffe9mMWa3QdmbFULtmDjPcV729c3DImE4qqU8Su417SAjQnLNtlkE5gzZw4ccMABxusYX33kkUfmfb9Y5I6tZXDw1EtbCXfUjDVzfuaL6TA45X7oPPo71L8NDj2/jQ31b+NDfdzYUP82NvXavygE2kGhcviJP4O6cj5Ui8iEydBy3CW+heympmaIx5uY53BHR0fez+M13nLLv+Dss8+DffbZj7129NHHwLx5c+H2229jArb+OfH54q/FrrwohpoWsJGTTjoJ7rzzTjjmmGNY8rLHH3+cZR4/4YQTfL1PEPVVpgsg+cGTkNh6V8j0DkBo/e2r0iyCIAiCIAiiPghB48Rmu7Fq1Uro6+uDf/zjarj++muN19HFvFR37nJQ8wL2mWeeySzSRx99NEyYMIG5g1955ZVG5vB87xNELaPZsogLlt/9e/Z/+xnXQ6i5vcKtIgiCIAiCIOoBtBqj9bieXMT9oqq6ISqd1q/tssv+AttuazU+leO8DSVgf+tb34LjjjvO8losFoOrr74aVq5cyWKrN9poI0vW8HzvE0Rd1cG2oaWHScAmCIIgCIIgPGFCZqy4BM+1QiwWg1QqaXELX716Fft93XXXg3g8Dp99Nhf22msfqHVqKv3cuuuuC1tssYXre2id3mqrrTyF53zvE0RNwjVznoRq6hElGgSlZxmL9ycIgiAIgqgFttpqa5gy5S1Ys2YNc/2+7bZ/M7dwBCtHnXrqt+Cee+6E6dPfY8L30qVL4Kc//TFcfvkfoNaoKQs2QYw4PFzEDUjAJsrA8IOX6MPr2F9DdN0t6R4TBEEQBFFVTj/9u/DllwvhpJO+ypKgHXroEbD//gcZ73/vez+CbDYLv/nNLyGRGGafOfjgQ+FnP7sQag0SsAmili3YUEIaRILIN/zWLgIgAZsgCIIgiApz8smnwvHHn2j8PXbsOLj22huY9RrrUUciEUgmk0aMNbqQ/+QnP4NzzjkPUqmUI7nZddf9m32nFiABmyCqiKjXV2yMNkGURLg2FiKCIAiCIEYW8Xic/dhBQVrgliEcBW6311tbW6FWoABPgqgmZMEmqgkJ2ARBEARBEIFCAjZB1HIMNlmwiTISIgGbIAiCIAgiUEjAJogatmB71ckmiECgJHoEQRAEQRCBQgI2QVQTLU+SMxKwiaCHnKzUCVMaDoIgCIIgiCAhAZsgqoiWzwU8XxI0gigUNWv+HqYlgCAIgiAaLkkuUdV7Srsrgqgm+SzUZMEmgkYxBWyKwSYIgiCI+kGUoUqnU9VuSsOR5vc0Eindu4/8AwmimuS1YFMMNhEsmiRgUww2QRAEQdQP4XAEWlraYXCwh/0djzcZdaIJHVUNgaJoBVmuUbjGe4r3FmtwlwoJ2ARRTSgGm6imiziQixlBEARB1BOdnWPY/0LIJqyggKwWUYUHhWtxb0uFBGyCqCYUg01UGtmCTTFcBEEQBFFXoMV61Kix0NHRBYq8phMQieC9aYW+vuGCrNjoFh6E5VpAAjZBVBMq00VU0UU8u3QWQLwVoutuSf1AEARBEHUECoThcLzazagpotEwNDc3QyKhQDZbvTBL3wL2U089BQMDA0Wd5Nhjj4X29vaivksQjUzeOtdFuLgQRO4xZQrYmRkvsp/2798CoUiMbhxBEARBEESlBOx//OMfsGjRoqJOss8++5CATRAVyCLOrJPhCCW8ILxRMi6vZQFIwCYIgiAIgqisi/j9998P66+/fkEnOPXUUwttE0GMPBfxUMQ94VkBMbJaOgFD9/8KwuM2gtajLwywkUQjobmGJVCyM4IgCIIgiIoK2OPHj4dx48ax/wth4sSJRs02giA8XMDDEQBFKcmCnV02C7REPyiLP2UlB6hsA+Hbgk3JzgiCIAiCIALBd7q0ww8/HBYvXgzpdLqgE9xzzz0wadKkYtpGEI2PsFqjgO36vn8BOxRvM//IJKEaaKmh/HHlRHVxyThKfUYQBEEQBFFhC/a9994LX375JbS2tsIee+wB+++/P+y3336w8cYbB9QUghh5aNyCHYpEQcuUKGBLQro23AeheAtUEmXNlzD8yO8gsuFO0HrU+RU9N+EfzVIHm0PJ9AiCIAiCICorYN93333w3nvvsZ93330X/vSnPzE31A022IAJ2viz1157UTIzgigEIUB7WLALsSzKn1UTfRAePbGifZGZ+RL7X1n0UUXPSxSIW81M8jogCIIgCIKorIA9ZswYOPLII9kP0tPTA++//z4TtlHoxgRoGGu98847M2H79NNPZ9ZugiByoOZzES8g+ZSUvAot2AThPk5IwCYIgiAIgqiJLOIyXV1dLC4bf5AZM2aweOtnn30Wpk2bBkcddRRstNFGQbaVIBrYgu3xKBZiWZQF7EQ1BOxQFc5JFAor5WaHXMQJgiAIgiCqK2B3d3fDG2+8AW+99RazYq9atcqIz0YL9oQJE4JpIUE0MlwoxvhpV1u1WqSAnRwIoHHEyHERdyvdRRAEQRAEQZRNwMZ4a7RSv/766+wHf8fXttxySzjuuOOYUL3rrrtCPB6HoBkYGIAnn3ySCfHbbbcdHHbYYZb3+/v74YknnoCVK1ey94844ggqUUTUBUbcdABZxDVZSKqGRZIM2PWB6symR1nECYIgCIIgKixgn3TSSTBz5kwWi73PPvvAt771Ldh3330LrotdKGvWrIGTTz4ZNtlkEybA//nPf2Zu6FdffTV7H4XqU089FSZPngzbbrstXHHFFfD888/DNddcU9Z2EUQgCEE4Eg02Blv6nSAsQ8qt3jq5iBMEQRAEQVRWwEYrcltbGxx//PFwwAEHlM1abefWW2+Fjo4OuO222yAcDsPRRx8NX/nKV+C0006D3XbbDa6//npWKuzmm29mVmtUBOD7U6dOhb333rvs7SOIWqmDLQvY1ckKTSbsukBxqQdHWcQJgiAIgiACIez3g1dddRXLDI6C63e/+13Yc8894cc//jHceeed8MUXX0C5+Pzzz2GbbbZhwjWy2WabMUF/3rx57O+XXnqJCd0oXCNYNmyXXXaBF198sWxtIojAEHWwAyjTZbFCkgWb8BwnLhZsErAJgiAIgiAqa8Hecccd2c8FF1zAYqExDhuTnP39739nNbEnTZrE4rD333//QOthb7755kyITqfTzGKObupDQ0Ps9bVr17Jka/Zs5fj3Z599Fsj5CaIyFuzSXcQ1ufxSVQRssmDXA5qbBZtcxAmCIAiCIKqXRXydddaBU045hf1kMhn44IMPYMqUKaw818MPP8ySn73wwguw/vrrl9zAn/zkJ0xYRtfv7bffHl599VU477zzWLbyhQsXss/YhXm0cA8ODhZ9zmjUt2G/KkQiYcv/RP0S4rnDQxF3C3Yk5H88KiFTGA+BWvFxHAqH6uYZqrXnF+dMdWANhDvGlT1BYxicypdIWKM+Cwianxsf6uPGhvq3saH+bWwiNSIjFV2mS7B8+XJYtmwZ9PX1MSsz0tLSAhEPgaFQsAzYrFmz4MADD2RW8g033JAJ2SeeeCLblLqBrwuX8kIJh0PQ1dUG9UBnZ0u1m0CUSCYaAnxq4k1N4FI8CVpaojDK53jsa4rAMP89HgtXfBxnm2LsWpB6eYZq5fntnfoY9L5yJ4ze72ToOvC0sp43GwFI2V7raG+CZuqzQKH5ufGhPm5sqH8bG+rfxqazyjJSQQK2oigwZ84cmD59uvGzevVqiEajzH38kEMOgd/+9rewww47BCJgDw8Pw69//Ws499xz4fvf/z577ayzzoJvfvObcPnll8Nll11mJGCTwb9HjRpV1DlVVYP+fiGm1CaolcGB09+fAEWpRjIrIihSKV0kzXh04/BQEtSeIV/HSg4ljN/TyRT0+PxeUKRSputxpc9dT7g9vz2v3Mn+733rIQjtcFxZz59KmONE0N83BIl26rMgoPm58aE+bmyofxsb6t/GJlJGGQmP69cy7lvA/uUvf8lioTH+Gdl0003hqKOOYiW70F07qJhrGRTeUcjefffdjdfQMo0J1tAFffTo0axM2IIFCywZw/HvnXbaqejzZrP1IbTiwKmXthK5SyZp4K6QUrOK7z5Ws6YNXFX8fy8oZI8SGpfFP7/lvnfyODHaklUgRHNJoND83PhQHzc21L+NDfVvY6NUWUbyLWAvWrQIDj74YCZQY/3riRMnlrdlPCP42LFj4YknnmBWcQTd0DHBmhCgMYP4I488wmplNzU1wYwZM+Djjz9mlm+CqJ862F4eH/4nB42yiNcvGHddSM3zUlBcghEoizhBEARBEERlBez77ruvIFdy/Cm1TjZaq6+++mo4//zzYe7cuaze9TvvvMPqYl900UVGErRvfetbLAna1ltvDa+99hpzJxcCOUHUMhrP9u1ZpkvV6qgOtnR6TYVQiBKd+QazyLtl9y4DlmzzAirrRhAEQRAEUb0kZ5gpHAVaN+bPnw+XXHIJXHnllY7yWcWArt9Y0xozlGNJrq9+9avMJV0kMUM38UcffZQJ1j09PfCd73wHtt1225LPSxAVQQjCnmW6CqmDnXUI7pUlZG03Cdj+iVROwCYLNkEQBEEQRI0J2DfddBMsXbqUlcsSZLNZuO222+D666+H5uZmaG1tDayRnZ2dcNhhh3m+j5byI444IrDzEUTlBexI6QK2/Nlqu/yiuzoZsH0TisRAA2fysbLgYsFGjwOCIAiCIAiidIraAp9xxhlwww03wHXXXcf+xsziX//61+Gaa65hcdrPPPMMSz5GEEQehKXZU8D27yJusVrL8diVQq7fTAJbYXh5MJQBzc1SXo3xQhAEQRAE0YAUtas7/fTTWYz1FVdcAZ9++im8/fbbLBnZjTfeCIceemjwrSSIRoULoqFAXMRlAbsaLuJQO+evN7wULOWAZ663QAoRgiAIgiCIQCjabIKxzliW5y9/+QtMnjyZJUErR6kugmhkDKtzEC7itZbkrKotqEcXcXNMeCW9CwTVxYJNAjZBEARBEERlBeynnnoKBgYGLK9hrPV2223HSmNde+21sPnmmxvvHXvssSRwE0Q+hGtuIAK2Wt0kZ3JbyYJdGHKZtkwSoKkNyl173QK5iBMEQRAEQVRWwP7HP/7BamF7cdddd1n+xnrZZNEmiDxowoIdDTYGuxoWSYuATTG9hd076ddMEkJlFLBds5WTBZsgCIIgCKKyAvb999/P4q79MmbMmGLbRBAjMAbbow52kWW6qmFB1mShWigOiIKFXi2TqnwWcfI4IAiCIAiCqKyAvWzZMhZr3dTUVNAJ0H28mO8RxIhACKWyi7Db+/VgQa72+esYTRZ6C/BaKOpcilPAJgs2QRAEQRBEhct0XXDBBbBixYqCT1Ds9whiRGAkOQs4i3g1LMhyDDhZsAvDIvSWWTlBAjZBEARBEERtZBF/4oknoKurq6AT2BOjEQThdAH3zBpdiDVTErAt7tqVQhaqyYJd4K3LVMyC7eYiTv1FEARBEARRBQH7+uuvD+i0BEEwAizTpdWQBZuyiBd675SKCNhM8eI2pijJGUEQBEEQRGUF7EcffRTUIq1SlE2caHTU4T7QBtdCZJ1NC/uiEGyCcBGvdpks+fwksBVGpSzYbtZrdk6KmScIgiAIgqiogE1CMkF4M3TX+azWUusJv4fI+I2rVAdbqW4W8WoL+AGgaRpoQ90Qbh9bwXOqNgu2WtkSXdUKKSAIgiAIghjJSc4IgsiFbnXMLp1V2G0SMdiRIMp0VTkGWo4Br1OLaOrd+2HongshPeOlyp3UkXSsjC7ibgnO2Bv12V8EQRAEQRC1BgnYBBEohQkqRty0zUU8FG/mH9CKisGuShZvua11asHOfPIc+z/17n2VO6ndbbucLuIeFmwSsAmCIAiCIIKBBGyCCJJChSMjBluyYIdCMHrPr1nf94NsnayyBbvus1KHKjc12q3K6KZecQG7ThUiBEEQBEEQtQYJ2AQRJIUKRy5ZxDtO+j2EW9r4+2qRibKqneSszgW2CgrYDqG3jO7alnJgljfKXBqMIAiCIAhihFDULvLBBx+ETz/9NPjWEEQdYkkQVaQFOyS7iIdCpoBXSJkuWXiqggXZmuSMLNi+scdFk4s4QRAEQRDEyBKw7777bli9enXwrSGIekSVLccFCpZuWcRDYQhForktjnkt2Gp5XY3dkITqqsSABwkqOSqEVskkZ1mvLOJ13l8EQRAEQRD1LGCPHTsWMpkCNv4E0chYhJYCkpIxYZx/XrJgh0JhiLSN1j8z3FeCJbTCVmRZqK5zCzb2QfVcxCnJGUEQBEG4ofavhsRLN4Ky+gu6QUT918GWOeqoo+Ciiy6CV199FTbddFMYN26c4zNHHHEE1c4mRgQWK7NXGSQ3JCE0ZEtyFu0Yox97qKe4drDjK971tctBA9TBrk6Ss1qIwa5vhQhBEAQxMki8+m9QV86H7IJp0PGj26vdHIIITsC++eabIZVKwaOPPur5mV133ZUEbGJkIAktWjZVwPfS5u/RuOWtiBCwE/3MfdcigNeqBdsSi17nAlt4hFmw69zjgCAIghgZaH0rq90EgiiPgH3PPfeAouS2UI0fP76YQxNE3WGxCmbT/r+XSZnW0mjMfCMUgkjbKN36rCrMTTzUPib3sVBAssc9V9qKbCnTVT8W7MyCaZB6+x5oPuwc80VyEScIgiCI2iMi7ZcIokYpykyDwvPEiRMhm80yN/H7778fmpub4YsvvmDx2fheJFJB11SCqBkLtn8BG4S1OxqHEMhJtUIsBjjUOko/5nBPYYnWRFsqbEWWk6rVU9Ks5Es3gjbcC8lX/l0TdbATL/8LtORgRZOc1b3HAUEQBDEykA0SBNFIFmzk+uuvhxtvvNGwZB9//PFw6aWXQktLC9x6662wzjrrBNlOWLhwIfuZNGkSbL755o73Z8+eDStXroStt94aJkyYEOi5CSIn2SIt2PyzoWiTNWs1/zXc1gXKYDeoQz2QV13lJjhVWsi1JDkrIBa9VrCUSquii3gmAcl37oeWg75f/nO5lZojCIIgiBolFI6VsdYGQQRDUbvIp59+Gm655Rb4+c9/Ds8++ywTepErr7ySWa4vu+yygJoHTID/zW9+AyeffDLceeedcNppp8HFF19svJ9Op+GHP/wh/PjHP4bbbrsNjjzySLjjjjsCOz9BFOIiXpAFW7iIx2wCNpeww20i0Vmv/zagYMhLfFXeRby+k5yFmturUqbLTehV+5aX5VSU5IwgCIKoa8iCTTSqBfuhhx6CSy65BE499VT2d5gnBNppp53g3//+Nxx66KFM8I3HrYmbiuGuu+6Cl156iSVU22CDDWDx4sVw7LHHwoEHHghHH300S7i2ZMkSeOaZZ1hStbfeegt+9KMfwT777ONq6SaIWklyZlqw8TlxCnRowfbtIi7cjFG4xtht/NvLHbhc1HkW8VBzh/l7NbOII+XqO88kZ/XXXwRBEMTIIyTFYGNoWqiSCnGC8ElRu0h0xd5xxx1d30PX8M7OTli7di0EASZUO+OMM5hwjeD/aLEeHNRjFB977DFm3UbhGtlvv/1gm222gSeffDKQ8zcqGPdpj/0kir2XGadV2s/3jBhsu4u4sGDrtbDRRTzncTQN1IHV+h+RGIQiumJLk7OUlxkVs50nBsw21cnYkvtOFrAr6yLucq/K1Xfiem1Z6ykGmyAIgqi7JGeZZDVbQhDBWrAxidmbb74JW221leO9+fPnQ39/P4wZkzvrsR96enpY3DVao1FgnzFjBqy//vrwk5/8hL0/MDDALNpbbLGF5XuTJ09mnyXAM95y8K6fMStd27f/AaFKliRqRCQhTe1ZygRiYX3OCRewvSzYIWHBziNgp6c/BukPHte/gwuPcBEvxF29RLKfvW2Lwa4PiyiWQROE4s3mGxXUiLtZsAsKNSjkXNwyjnH/lnOUszQYQRAEQQSFtD5r6WEIxVvo3hKNIWBjQjN0EU8mk3DMMccwCxrWxUahG+OvDz/8cGhqaiq5ccuX63GIU6ZMgQsvvBA22WQT+OSTT5jAfdVVV0Fvrx6bOmqUnm1ZgBb0uXPnFn3eaLS2Bc5IJGz5v1DUoX6A1BBLEhFRkxCOS7GnRMEommSB1FTQFn8M0e0Oyf89nvk7HG+GaMxMYxYJ64tHtHOsfsjh3pxjcoAL10gIY5MiegKQMCiW7yU/fg7UwbXQss83A3Wpwuc/M+8t3vgYUzhk50+F1p2PhlBTK9Qy2aQZ3x4OmUImKp3KNQ/Yn9+MPH4ESqYs5w/xc6FSRxapQ6DW/LxXL5Q6PxO1D/VxY0P9W9uEpCSqESUJkQLXLurfxiZSI2twUQL2cccdx7J2YyZx/BGv4UZ72223hd/+9reBNA6FduT1119nLt9tbW3MPR0F/P/+978s1huxlwTDmHC5ZFAhhMMh6Opqg3qgs7M4rV02loY+/vvo0a0QaamP661V+uJhGJb+bo4qMNrHGOqLaex78dZW9nkh6rV36P3a0TUa0L4aUtI5x6Rs347E4hCKNQHaJtubw9AqfW/BlHvY/+N2PQya1t0UgiI70A293UuYW3XH9gfCwEcvgdq/ClKv/AvW/ealUMsMLO4F4djeFIuAcPCPxqJlnwfE86vFQuBwclMyZTl/JqKxsRFpagJVqgQWjdTPvFcvFDs/E/UD9XFjQ/1bmwyHVBAidnsTQHORaxf1b2PTWeU1uOgyXb/61a+YoIvC76pVq1h5LozLPvjggwOrgY3HRL71rW8x4RrBElxf+cpX2Hnx/EgikbB8D/8WMdmFoqoa9PfL4lLtgVoZHDj9/QlQlMLL66jD5vX19g5BOEmWllJIDlhrFg8PDIHWM5T3e4l+/XsZNQK90ucHB1PQ1QUwNKxbuFVFgR4fx2OfDeGzpz9/A739kOoZYiEBQy/oijCkb20PxJr9Hc8PSrce/x1qaoNM2JzQEl987Lvd1SKx7Evj92TCFHOzKpSt7fbnNzHkPA+6b5fj/Klhfa5UQ9Y6opl0pub7ql4odX4mah/q48aG+re2yabMtbq/uwcS7YWtXdS/jU2kjGswHtevZbwoAfunP/0pi3M+5JBDWMbucrHhhhsya7Q9Gzm6nw8PD8P48eOZ4I1ZxHfbbTfjfYzLRnfyYsni7roOwIFTTFvVrGndz2YUCEfr43prFSVjjZdVM2lf/aKm9UVCi8Qhq5oPrNakK4cUlfeT5t7PmqpAZvZr1tfCUSPDJrYLv5f98iPILHjfbK+iQijAMa4kuMIm1gyqLW9irT9L2Z4Vxu9q1nQ70yBU9raL51fNuNcwL8f5Rdy1JieJ4WOp1vuq3ih2fibqAzWL86sCikL5C2oJtX81aOkhiIzbuORj0TNcm4hcIkg2mSh6P0P929goVV6DizJdrrvuunDffffBSSedBAcccAD8/ve/hzfeeIOV5gqS1tZW2HPPPeGFF14wXlNVlZXi2mWXXVgcKZ4fy3gJuru74YMPPmCvE15o7qWViOKwJanyrDVs7wWecRzjYTHmt+3Uv0DrKZdDKKYn2zKSz3mEO6Te+h+kptxpeU1PchazClMpu3Y32A2hltatoizRiEiwVieoA2tcM3dXskyXZ+msMiDGJiY5szRh6SxIzzTnUYIgvFGTQ/DlVWfA4BN/pdtUYww//TcYfuwy0JJWzzKicbBUKSmgNCpBVJKidsOY4OzXv/41y9SNgjUmN3vggQeYZXn//fdnlm104w6iDjae59vf/jZzSd9rr73g2WefZcnNzjrrLMOafsopp7D3d955Z7j77rvZ/yI+m3BBFtgoe3Cg2lSG3wzQ4nMxXdgJj5pofZ8LeZqHEiQz5w3ni1imS5Rg4u3SpIQg/IAQJFrGFLBDWIO7nkib4RKWrNoVrYNdwZJmRhZx59ycmnIXxLc9rHJtIYg6JfPlR0xZlV06q9pNIWxoQ93MA0hN9kOkub4TuLIEojNegPD4TSA60VotZ0QjKaU1KtNF1ChF7yLRerz99tuzkllozUYrM1qNn3/+eSbsigzgpbLlllvCE088wUqDoeV6hx12gEcffZS5hyObbbYZPPzwwzB69GhmuUZh+1//+hcVns+FLLCRBTu4yV4IxH4t2NxiKupWOxBCnurmHu4udDPBSbj/CousvT0BC3TCgo0u4hCuLwu2Rai2CNihhrZgO+pgEwThGyptWZuwdVGUiFTqo1RkLrILp0Nq6r2QeOLyajelppD3WJotRI8gaoWid8ODg4Mwffp0eO+992DatGkwc+ZMUBSF1cbGMlpjx+olhoIAXdIvuOACz/cx3hot3YRPZKHaQ1AjCkC43Ta1gZYc8C8wiY2Al9VXCNhuShBuNXbArMjcRVy0wyZQC8E+MHgsOXMRrzMLtia5l1kUIxX07PCrkAkEw0WcBGyCKBqWTJKoOXjpS0Yl59UyoXYvrXYTahO5b7OOGhwNBXowVjRkjaiugH322WezLN4oUG+88cYswdiZZ54Je++9N4wZMya41hEVcBGvfy1vtTEEpHgrphQvQsD2mDyNGGwXC7bk2iwTwjYIhIu4rT3q2kUAm5hJAQNzEY/VXwy2JX5LtmBX0rOjki7iZMEmCAsYqxsq1JVYmrPRjRc9+ogaQJpLHaFR9Qjtz9yxWLAbNwYbPeyGHrwEd1fQcvi5EBm3UbWbRBRAUWqRZcuWMeEas3xjvPURRxwBBx10EAnX9YIkPHjF9xLFWLBbC7NIGgK2u1BqaC1dBWx3CzYmSBNZxA33Z9tn0x88EWjsoJzkrJ5isJk7obwhkwTsij4XHuMFN+6VSnJGECOR1IdPwuAd50Jm/juFfVGe58Q8TlQdy9pbScVluaCx5QArXliMRA0cg60OrAZtYA1oA6shM39qtZtDFEhR5iaMgUaX8KlTp7Kfe+65B7LZLIvJxqzfmIxs9913h2i0zqxZIwSL8CBKQRHF30+ROEpYj30mORP94On+I6wiLoKWp4AdbzXdnvlmw+2zmXlvQXT9bSAQhLs6cxGvo2fenn20ShZsY1OIihF5g4gbiaA9AkRCPnIRJwhIv/cwuwvJ12+F2OZ7+b4jljkbn9l689xpVLKNJWAzYZLIXbWlgS3YjTaeRxpFrQpYmxqFafzBOthYngsTjD399NNw6623wk033cSSnm20Ebkz1L6LOFmwS0ZYBVHALMqCXUQMtoeLOBNyef+KWGs3ATsU4IbQsGCji3g9WbBzCthaddy2LRaY4DfupjBPMdgEUfTmVRKw0RWZHMRrA02KwZZ/r1tIwHZizynTwBZsyx6FBOy6o6TdWzKZhPfffx/efvtt9jNnzhxob2+H/fbbj2X1JuohizhpSINMcib/HZiA7ZLowtuC3WKeX8RguwnjAVqaTRfxZgjVlQXb6mmgpYeqkvxPlOnCxGNyzfKybNwpyRlBBICkgKONb9VIz3gRMrNfh5av/gLCraMbz+JHArYDhwGjketgy7HmjZBTYIRR1G4Ya02/+OKLLIs4Wq8xFhtjsLE8FyY8i8V4mSCiNpGFB8oiHmySM8ReFzsAAZspRSwCtleSsxZD4PWKwQ5cwE7pbQnF2+rbgl0tzw6vxGN+x5FPWEw3CdgEUTryutkA2arrldTbdxuu/s0Hft/mAdQAAgntz3y4iDeyBVsyApCAXXcUtcu+8847oaurC37605+yJGebb7558C0jygi5iNdCkjMtTxZxS61VXGhledvDgo1xvEYJphwx2MG6iHOrK16/vKmp9dISuWK3qiBgYz10i2N60AuqfDyKwSYI/TnwmTPDK4+J8EAhqodQ8sp90QgWP4rBdrkn9v1VIyu45LmJ5pm6o6hd9sMPPwxtbW3w8ccfw7PPPgtr166Fzs5O2GGHHeDAAw8kC3YdaUXLkal4pGFkZhYWbL8Tvkhy5suCbesnLxfxcBQ0nkXcFLDdXMQDtDQLCzbWAZdcnGtdwLZohx1vVqEOtk3oDbw+tnQ8yiJOECIpZOECtkUB18gb/DrBEKbtOSzqHSmEj+ohe/RrI+cRsliwKZxzRAjYKFz/7ne/g/vuu4/9HY/Hmas4su2228J//vMfisGuaTTfDy0uXKgdDrd0lr9Z9UrWZsH27SKeze2uLddWtS0injHYLZ0Q4hZlsXEUdaot3/ex+VBWLQB1uBdiG+/i+RlU0Jgu4q3Wkhle9b1rhRyxW5Ut02XGYFtfD9hFXB6XUQrjIQgmYA/36s+HkvXv2WOpxFH/ltK6R1j3ZCuf0gACibw/Q8NIpMbX1GokOWtgN3qRqJb9TvNM3VHU0/rII4+wUl2XXHIJvPPOO/Dpp5+yLOI33ngjDAwMwF/+8pfgW0oEhzwh5REkEs9eA0N3ngdq73LqAS8MC3ahSc74vfcs02WLwZZwc0ts2ufbEB41wcwQrWR0QTHtEqPko43Dj/0Rki/8E5SepbmFVK5lZ0neZGVBrVuwa8BFXI6LdrhtB+0SJpUDC7V1BXtsgqgDUtMehMH7fglaclB/IdaUN69FXi8wct2sPlz4kBXHDZdFnCyY7saBRr4v5CJe1xS1A37iiSfg5z//OZx55pksFltYtQ899FBWogvLdQmLNlFbYP3jxKs3+xYklKWz+PemON5D62ZR7nWN6iLOLdi42MsW0MyCaTB4369AWfOl9XsFJTmzuSzbNg/RyftAfLvD9K9xQY31DRMiXdydC7COqn0rPN8T1mt2DXhe2Wpd4wnPjCRnwqXe8maFtOKSVjpUKRfxSAwiXetD016nUbkuombBORSzRCurFwZ2zPRHT4PWvwrSc153cfUuQKFFLuI1haHkaLgkZ5LwSBVfRpyLuMXrrBHG8wijKAF7zZo1sMcee7i+t9lmm7FSXRiXTdQeydduBW1gdcmTEwrXQ3f/HIYf/UNwjatXjCziLa6TYfKlG0HrXwnJl//lunh6x2CHvF2WbZOt5RhSDLaXVca3Gztrp5o3wRm6WoawvZIiQC4rVtOu/bFm53uVcjuT+zFSZhdxI5maPj7iOxwJbSf/0fqZBt6sjCSyiz8BpWcZ1DPZBe+zLNHDj/4+8GMbCSRlN+ICnjdL7hLa+FYf3gcWpaTSWEnOKOEZvw+SopjfGGhYyEW8rilqB7zeeusxt3A3lixZwtzEqQ52nZBLeMrhQqus+pxNbGrPUtPdbgTC4n+EoCwLai5uS56uTR4CNhNYhZBtX0Rsx49uurv0R8ywYHtmGy9EeJPOpfathMRrtxibd8OCLWqAy9ZyOYa8FhH3wE3ArpSLuCXxmNWSHrjrqeGKLp3HrgRp5M3KCAFzJ2Boz/CDl0A9ow6sCjQZpyVWM9rk8CApyGNEek6U1V8E721C5O8CeUy4JDlriJhVae3NLnhvRO+1HIpx4xlu3DWLynSNQAH7mGOOgSuvvJK5imcyPFOxprE47HPOOQcOOOAAaGmRrHlETeC24OSyWGnJAfN3myt4KGxu0rMr5sGIRXLVzidgOwROce9zWXrFe7ZFRGzomvb+JrR+7f8gusEO5lfkGGwPATvfhtAyLqRrGX72GsjOmwKJJy63ZRBvdWs81DKGRVcs1JY3K2XB5v2Asev2cVCmJGfCgq3/YTtnA29WRgrKirnQCISbO13XopLLCUrPgMUqWKTSMf3B45B8846S20cUiKwcadQs4tK+K/XWHTD8zJVVbU5NIPpa5E9oZKWwJQa7gWPNG5SiBOxjjz2WleO66KKLWGmufffdl/1/2mmnMYEbM4wTtYdhbbS8mEvAHvTc4GhZM3FWdsE0GLHIVkZJUHNXXIQ8LNg5MtcKAcjDgo1ZwyMTbHXo5TrYwkU8HIHoZntBfJevme8VkQgPXd3Z/6lBh4s4O82YDU2LcK0vfIYF2+y38NiN9F+4dSQ982VITX+s/G3ADb9dAVPGJGcGdu8JKttX92hJqVReHaNJ3jCWsKZike6LMT/LLrhFWrCR7Lw3S28fURiWjOHCRdz5WqNkkUZUWx6XkYihKOb7rUZ2nZcNWw3hkTHCKKpMF7quXn311XDyySfDG2+8wWKyMcnZTjvtBEcffTQ0NblYhIiq4+pelFPA7jd/5wKVgeQ+zlyXDvjuiKyta2zKUDhCYSUU0ZOR+LBgiwnTiAcsRMAWmweXBF2yhVJL6H0YmTAZWg49CzJfTNdfz5eczmfsl1Gii7uI47W0nnApDD9wSc3H8xoWbEnADsV15QC2HV1KU1PuZH/HttgXwh3jy9AGPgZcygMF7XbqiF3L5VVB1C1yLXr0LGOhJvWINEep/asgss5mJR3OsoaJHBTyprWAvBS1PreNBKzx1pnGdBEvJFdKmWBjXVX9l7ArNyPWgt0A43mEUfATM2vWLFi4cCFssMEGsNdee8Hee+9dnpYRZd14+YrBli3YCbsFW4rPVhUmaI1EAdtYALH0kRCy0ZXHj4u4uPe5sm0bMdiau3AecfmuFGNreB7wxcgQvvMJb3LG0lxKGD6mhIDNfhcW+VrXLLu5iAvru6paN+Raedvgmsm8TFnEc7qIN/JmpYpkPn8XlGVzoGnfb3snNSzHPI99bi//VifISkC1e2mw94WH9lhdxAuoiGFbN8Ndk0puH1EgsjDNf2+4JGeFjMkykZpyF2TmvgFtJ/9ZLwNaMxbseMOHNVnGcyMojEYYvgVsLLt13nnnwauvvmq8tuuuu8I//vEPGD8+eMsOUQYKtWDLlhBbNmotY5v4GyHeKQirIFqjFXfhMuTpIh4p3oLt4l7OBFz8HlphhYVZLEZC+C7ERTyXBZuPC+EibmmzWn8u4kYcPd47e1iEkoHMnDcgusH2EO5cJ5AmGC6NOH7sQnwFkpzZhT20VtSpvbOmERUEMJwDvSHKiUWQRCG1TgVs2XqjrC3dNdaynhkW7GBcxEPNpoKRqBCWEka8HxtMwLZYMKuAmuiHzKxX9KYs+hji2x8BNZectJGVwrKLeCOM5xGG7xjsO++8E6ZOncqSmN1www3w61//GhYtWgR/+tOfyttCIjAcbt75JidZY2YXsqQYbHaYESpgO6yCXGDR3GpWOtxx8wvYotSVwyVR9I2b5VN63dhU8r+N5D55XM8s7nU5+tZ0EZcEbHE9NV630x7LxX433M40a0iFpkD6o2eYy/jQ/ReXafzYvBQoyVnDgeUNy41FkKzjeVn2klJXLyw5k7jDsl+Ci7gjVwHlLqiydc8pYNfz2BfkDeUqM8rSWcbvspdaTXme1fg+oxQs+zCyYDeuBfvNN9+E//u//4NTTjnFeG3nnXeGM844AxRFgYibqypR3y7ictZCu4uyvYRXEYtZ+tPnQR3qhea9ToW6xWbBRosgu1N5XMSZwCzuaa4s4iI+2yZgG7G7XiW+onG2QTVcuEVmcb8u4tK4yLVRMcaUvPjWnQVbyv4edbdgYzy2kZ05SI25cAG0leiytC+wc7nFYJOLeGUpV6yBhEVorL6LadFIAi97Fkt0d7ckDDJidoOxYFNMdhWQ+0tTmALGojiu9RClOojBlpVctRLTbjynhoCt1XeuiVxYQlgaYDyPMHxbsFetWsUEapkdd9wRotEoS3JG1D5aJul8LacFW8lhwU6VvBCkpt4LmU+eBWXtYqhXzFJPVgu2u3ApPW7S+zljMr2EVcOC7aEjE5Zq4drP2ydcxS0x9G7I/Z2rb11cxM3rwYVPrYO+izuSnDEBW847gNdRhthZU1HiluQsW/4kZ/YEezXcX5VA6V4Cw0//DZSV8+tWvra6PdengI0K3MzsV6yv5ZuzCkoYlOF1saUOKUDAFjW1sYpDXSgTGxCHQgTHvU/Pq3qA5QeotnW2Fl3uxZoZizf+uiXfc6ZEatDrHOkCdjabhVjMaWUZM2YMpFIlLnxE1QRs3y7ido29zYJdqDuWRRta6sapRpKcWQXiPC7i8vu+YrA1jxhsDxdxIUgbFmz+uTivT59O5p6spYU9l5uaPYu43iZ3RULNIe6hZMH2jMHG/sIM8UGTrbwFm+pge5N49hrmFjn8eHChT1bX5vJL2BbFTA1kIS6G1LQHnHOe2/pVCPas03aLXDEWbKEYo41v5XEI2FmLBbvuY1ZrwftEvoc1YsF2TU7aCN4KbjjmqBrpAyJYATtX/FOpsVFEhXDboOQSgGRLiH0DYReKCxUGamHxKEuSs6g/AVvWTPvKIu7hIu4RmmHEWgsXbi5wm5ZmLeeG1W92XaMOthyDLQui1dbAF5tFXLilGn+Up0yJZfw44joDVk6Qi3j+/hjqhsCxKCor4SLuTzlWy2Tmve14zZFYs0BkJTCbP21zdEFKYv5dY04gAbvy2JVH2KcNlHW5FmLIZSVFrSgsNLfQrgaVQRz3vFEVCSNdwK4Vuru7IZFIOF7HOPCenh4S9nPgiJtmL+aIwba4iAdswZa+X9duLzaroKhp7V47WorBlt8PFZFFPF+Ss6hHkjMUtPmmUFifg4jBtmQRrxMLtmsdbEnY1ob7zA9jf7m4cZcMF4B0N3XbJiHge2cmdZOyiFMd7PJjeX4qHINdpy7irsosW2LNUl3EnWFPRViwScCuGvZ1ia2plrFfGwJh0Xgoxypq0KpFhYVLaFdNK/JLwa4ErJU+IHxR0I7xt7/9LbS0cBdTzurVq11fv+yyy2CddYIpZSOYP38+nHjiifD73/+e/S+4/vrr4dZbb2WbRXRZ//Of/8xqdBM2gnQRD9KCXadWFobDgh3xvq+uLuIhQyh3xcgibi6q7HfDRdzLgs0XH3uZLi4Ma4l+R+m1QmOwmXZVCIiWJGeR+tC4upTpstQQT/RZ73k5YrCNEAOX5E1Bbxpy1dxuBGVXjWKxIldA4SQr7/JVC6hZXJ41VwVxsUnOshnHZrWwJGeaVRFQw4rEkesiXqdjP1/+hErWtq9BhYWrBbtRnz9yER8ZAjYKrp9//rnj9ba2NtfXsW52kODxfvGLXzjivR955BG466674MEHH4TNNtuMCdpYSuyFF16AcePGBdqGhkxy5tNF3CEwis0KClMoCBS4kbNudupXwDasoEYMtkhylvUnYOcR2lBppNnvP/udb/C8rKqGoKg5hCpTwE7kujCzqR5us6aAHjJju/VGS01VarauspnkTIrBlgRdvEcGeB1lELCFhZFZlR0e4gFbsH0I2OTqWgbssb/lxhbeUZcZdl0s2K45REqKwbYpsApJcmaLwSbFVOVxKPmxP2vR4losXnuqCta2r0UXcUOpL4dzYQgXjAQX8RrpAyJYAfv++++HavLPf/4TOjo6HJZyrM996qmnwuTJk9nfP/rRj+Chhx6Cxx57DH7wgx9UqbUN4iIulwVwZLFWTetferhwbbG8ONaxgG0sgr6yiLsJ2LqFeuGKfrRlw0YTO/KX6ZInWQ9hSRYU9b+lz4l46Rwu4rIVTF05H5RVn0Nknc2sHxLu5/Fmo143Oxdu5oXipZYtolk3C7Z539TBtebreB3Spl8LSuAWYx/7y/4clMmCbRkLdhrVElBFLFa1SiR0lDZlqan3sWoNrSf8DsLtY6HWQWVr6u27QRtwqUxSooCtBShgi+eEYrBrRwBlHgm1mPU6aBdxJVN2YRKrKGQXfQwgK+FrrkxXTPfww7W5lj3lSqEUL5sKk138Cfs/usEO1W5KzVAXMdjvvfcePPDAA/DXv/7VoonHWOw5c+bADjtYO3T77beHDz/8sAotrXGywbmIi7+N+NUCFzOL1bqRLNi5YrAtFmxhAYnA8rVD8Mfb34c/3P4evD9nVf4yXfK99qo/b89KLcfd8nhp3y7ieMo1ixwfEd+3uIfbFQO1vPC5xWDLwqfFtRdjsCOBj1lrqbDyxmD7cRFv1GQxVUXeFJXZZZuFMsgu4ok+5omR/vSFsp7X2Q4Vhp+9BpJv3VHQ99IzXoLMnNetL/L5pVQXcfmZRcuQ3TpUVB1syiJeOy7UiuJMZFfHeI7HCghZWEUh/eGTkJn7hnTeGrmfXEnJjAhuBohGwl77ulb6wMW7CCtw4E/J83QDUYasPcEyODgIv/rVr+A3v/kNrLfeeo6EZ6qqOlzBx44dW5KAHY3Wtt4hEglb/veLm4tdOKR5Xm8I5ElLY7Kcaak0BWzckoe0bEH3TdXMRSKkZWr+nnuR0fQJLxyLs2sIR6LszkRc7ivGWovXlDC/f+EILFxhZqte3Zew9K+Iz46EzeOpabNforGYq/tnWLbKMgNpk/H9cFMr4LQdyiY877sWsgpaofSQ47PhrK7dDje1OY+DwqiSYe2O1Gjfig1MtMn0iok0We+b8XpIA1VSZkRAgXCR12XpX1VvQzgeBzUdcjx/gT4XXGEWietj1bVt0jirFtmVn0Nm8afQvPNXc1vby0yx98E5P8ulbtJlvb+6Ys+pJAlHoxXr1+THz0N6zpugrF3E5pm2A8+weLjkIjW42vJ3y16ngLJ2CaQ/mwrhUu+dJJjgcxcJWTflIcX/OpQRITpSkrNqPzcjjQyfOwWRkOIoKxXcM1x55D2STETLVmVNDWlKbYxx/hyztZqF5GUBu6mQe1IL/ZsPFnYivNjQHT6TZPuOmugDG6oUEhzRMhCOWj2NK02t9G/NC9h/+MMfmIX6a1/7muO9ZFIXGO31uaPRaNEx4OFwCLq6XCxyNUhnZ2GDuC+bdmy9muMRz+tNRXAjYdI1qsXYUAyEdBEbhRO8080xKOi+DS4PAXcwhpYYwOg6ued21BgAjsLmtlZ2/cl4jG2n21qi0M6vqYd/Nho173Uq3QQY4YsC+ZoBc6zG4jGjX/H//miMbVLb2+LQyr+bDQ8Dpt9C4WPMmHbXdimter8IOkd3Qov4fuco1q/Jdx+CeLqXvRafsAl07HCQ8fnhtTEYlL7fBEnWdnEtSGs0yz4Ta+tw9H0fKhoyAJ0dTRCv0b7t4Zux0eNGs75Axm68KUjFuQza2uKQiEdA6GY72yIQG13adWH/JsMq66fWjnbIpPstfRaLBDsXJUIKG5vtozqMsYnIfdrR3gTNVe6vhf+9BtTEAMS1FIw74nsVPbd8L0q99+I5TvRFjDEVC6llXV/UTAr0J9pKa4fzGS0XC6bcbfl7dFuEKfX8kI2FLM/AxINPgTXP3cpeS7x9L0w88ISiQzOGQGFzKRLGjevcVyzvR8P++0aJhdm8H2tqYnMpbuPqZd/QKKhRjfWBoKMtDkNa1tzjKFkYPbq1pPwDhe6xgmRwRdjYI8m0t0bKPkfL86AgHq2NMd7PFcWjukbBUCQCaOMY1RGHWBFtc+tfNZWA5OLZ0LLJDmUpzVlIaJGYyyNoFMkkWd+LfVwtkQkPsT1pUHujoKjm81vzAvZzzz0Hr7/+OouzXrFiheEC19/fD2vWrDHise2Jz1C4xuRrxaCqePwcrrM1AGplmPDVnwBF8e8ao7oktUomUtDT4zaNo8LMel97ugeMbNQqd11RQvoQSgwNex7HjVSfKcYMDwyCVsB3a4nkoD5WUhlg159R9cV8cGAYMrZrUhTNuEfZXv36VQjD54vN5WxoKMX61ehfVd8uDAwkIMW/q/B7p4Ujnvc8pVg3FYMJBZL8s2mVJ+bJJKFv2lPGZ9KjN4Vwhx6nme63HjfR1+M412C33m4l0ux4T+Obmv7eQYiEh2pTO8wX6r7BLIz63g3MHatvSIXYJrtC5ovpls8P9g9BNmE+D31reyGitZX8/KaG9WcykQZQcBBJpFPpgp6pfGS4QnIoqTjGpmCgfwgSVX4WUbhG+t97GiK7n1q1dhR77+3zc4Y/60g6Udg8WShepfcSKQWgSv3as3I1hDv8JRxNSc8Y5kPo7UtCKm1aJVfPnA6xSdsW1Y5syhTHlHQKBmZPdTwffvsmzdfGrBYy1sNy9is7R6Ifhl6+GZq23Bfik/eGkU5y0Hq/ca1RLbXSNehZ21+UkFTsHitIUtK8IdPf3QeJljLOIR5hQqmE/+ejnKhp/dkbSDA/PPZ7X+8QREJDgfTvwJNXQhY9qHY/AVp2PwGqhZyEVuPlQwd6BiDZUf0+sKP0mBVX+tb2FL03CopyPr94XL+W8ZoWsD/55BNobm6GH/7whxar9Y033givvfYayxiO1uuVK1davod/293JCyGbrY94Dhw4ftvK4pFc4mFxY+B1DNUW75HNZCHEh4yR4Zg/+LiwFXLflFTCMmHWyz23IxZ0NRxl16DxCV/JZhzXhMuWeE3JmGW2Vvea9yKrqMaEgP+bxzP7SUnxLJqRmOd908JWrw6mCOGf1aTM46FRE0BDgSY9DJmBboi0dPHzWfteSQw6zpVNcBt3rNXZDp5NPZvOgFaDfSvHCSkQ1etfR1HmViG2w9EOARvvvyrdE9ysl3pd2L9ocWTtCUVB48oUo42q97NZSrItFfSx6gY+42KcVAN7XoAMzjk+3YuDptR7L+ZnWbDTCpwnS3HVs7yeSpT1vFpqCBKv3gyxyfs63ssMD0GkZYyv48hrDsZYYpuV7mWW5zBU5HU4Klek9X6JbroHZBdMA9VlzvZsp1j/uIIZ19Zyr2HDL90MyuJPILvoEwhvsieMdBSLMA0w+Pjljs9k02kIxcIV2WMFDSqB3Mj2r4HQhDI+y17J1Qp4PsqJSBSJ67bIUYPrVjHrsVv/onCNJN97FMIb7AiRcRtDNdDSksKdZ0xXcDzXQB/YUSQjZzZZ+t4oKKr5/CJFzTx2izEyb948yNo25aXyy1/+Et544w3LD1qtL774Yrj99tuZK/iuu+4K06ZNs1ivp0+fDnvuSQuQnwysOcuL2AVyR6ko3F80FZe8p0HLdBlls/JkETeSoIXDkM6Y91lYrI1vCOFCuvfpD5/Qf8kVn2p/T/5bypQdGbsRhDvH66dIDnr2veU9+5iS61Haz1ejWS8t2ZztCeHcrodlRFeCH7NGRlS3JGfKiEtypvavzj/uKmy5KRk58VK55zqPMVPu7OWp6Y+BsuhjSL58o/PcuZIp5mo/n6fiOx8TzHXI/ZBE66De37HN9y58DRPzMbeOaqlByC6bDeUEhWtCws+zVKNJoXzhUQdb7V3OlCwFPVcFKstcX6+BLOJsjjYqt2CSs0hZk5wNP/J7qBbG/Q6FDc/RWs0iLq9rw49fBskpd9XEeKk2BQnYy5Ytg9NPPx1uvvlmx3s///nP4dBDD4V3330XKglatzHD+D333MMyiqNQ3t7eDscee2xF21HreG7scm3i7e/JQqPYjBb54Fva47GQ1AV2oSVX9mw5Fowv/KFwDFIZ1eJGbsElS6basyxvOQRnma64+3vRGISa2r0FbH5duIG0I7K0urngGQuCy7jDsaKs+bJ8Ak0h/RaOOiykclZxA1W11qUOKou4OI5dyGdvlqcONqu57UHi6b9B9suPoFqoAzYBe8gtGrBMlGnzYi0PVW4Bm29qInGI72LmLdG4tbYcZJfMgMyMF70/UKyAzeeV6KTtIDxhc/21EjLUus1FoZZOVmaw2DJdcum+xFN/LbptROH4UVbV8yZfLu+HhEfrXpmY3Tvx3DWQePH68pzXq3xnLSgrWH9q5h7DrcpKoyDuNxptSjRYlH2vJT+LmgaZmS9B9jNrCM5IxLeAPTQ0BN/5znfgs88+g4kTJzreR8F71KhRrA71zJkzoVyss846llrY++23H1xzzTXwxBNPwM9+9jOIRCLMuo2u5YSE12KUqw62vQafqwWbC2vKyLRgOwXsSA4BO+yyEY5ASrJgYw4A1+9IC4iw4kS3cLpjGtiFKFkIlkt2ReIQam53CtG8/WwD6mVJzGURNRYEZ98mXvgnDD/yO8h+NgWqhiHYWhUR3hZstUwWbOHuH3cYj11LvZVC1r2/Wk/6o+Xv9CfPQrWwW0+0YTO2q+yUax6y1MFOV6asSyQCTbudALFtD+VtKJ+AnXjmquI27G6ftYx5UyEZbu4o/f65WKhDbWMM76NiynQZHktl3shaSk4VmeSt4cjVXzXuQVXI2hDb5hBo++bVEN/jJOvbS2eV5bSelvFaKLkpP/+WMl2Fty29ehGotn2NRYlebaQ9YlFzFEfpXQZDd/0MUtMeCrqF0kmc87Ky1lnadaThOwb7wQcfZNkYUZBFIdfOqaeeCscffzz89Kc/hX/+85/w73//G8rB888/73jtiCOOYD+EN56udbk2BPYafLKAbYvBLnQhs9TKK7I2rLJ6IWQXTof4zseagn6162Dz2GPXCV+yYBvKi3AUMlKMiGLvDxcXcbHI5Lpme3kj+W/L96Jxw4IrC9FCmYI1rrXBtUbtSX3Ty9soNn05LdjOvlV4jBPWvI1tsR9UAy3HPTTCHuTP4+ZC3mAEtNkw7k8F6mA7xionMnZDCHWMA21gjbeCoVLYBChtuFd/VkKRkrIBFzNH4mZLlMkLrg52+QTszPx3IPnKTRbBD+MH8ezVrE0qJ+vJi/xcyf0tnskir4M9vy5zcrh9TFHCmKFslkr36cdIm20tl+JJrDEjHa9nCdcj/MH+rAWra8neTXEIt48tSFFVEl4u4jWgrDDagHMDKprEs1DgWql0L4Ul9/2aGRfazzA9AbSkqCdSfTS+/2ZzeQkKo8QzV4OW6If0R0+xcJtQGdZ3V0/FAb6fGMH43j28+eabcO6557oK14Kmpia49NJLYcqUKWYSEKI28HQRLyAGW7aiCgGMu9MW7CKeHspZn9sPw4/+nrlLpT95DqqGEUMrYrAjFkuMxaJhcRHn79s2S47nRnxHOo7YLLsJggZ2wVEWgmV38ahkwXZxETfOoWQd1hmhJHDN0ioWhFr1TvBjfZdhWcdlBVNAGzch6Lues4Ix2JLgYrfKVRTbPKJ0L4ahey+CxPN/r/i5WZ25AJA9gcppwRbCtcXKKTZTRc6xQVBIrKi8FsjqlFBMKOyKVBR4rE+hti5j7g7Egl0mIUheL/FaxFyMoTZDj/8JsivmwUjD81kKx0yLXx27iAvDg1ACM2VQBfC2YNfAvRR9jp53oZChdM2ZS8jtMCvm699LDlrn50p6TPm2YJcmYDMDCWfwrvOhLLg8iyoJ2P4F7FWrVsEWW2yR93OTJk2Czs5OWL3aGktH1OhilDPJWdZ7w6+VaMGWtKRu8b2FoHYvhmohLJAhRwy26nJ/Q457q9oE7Dc+Xg5fLO/Xy/ugZTuHBRvcYoU9YrBlAdsSgxuJ5XQRt5wDXwu5xQg5BbZ6ScrhasF2s5SqitV9NSjLSM4kZwFmEMcNeQ4B25JhuYqugHaPB4ztxThsTKBVbvc9h7dFkZ41DuSxEtQx88EFbGGtKFaJGQQFJWOS2+lmwS5SwPZa/2QX8YL6xiUGm53Hw/pXMkn5uPgspw33fHXlfEg84cyg3fB45DNg65lQfNSxBdu4PrGWx1tt3hHl8ejxnCtq4F461u0ik5yFWvXQN0TtW2X+3m/+XnUkL8dSXMQtZJJlCWNxa5c6sLq6eXZqAN+mio6ODujtFWXPvcEbmkgkWKIxoobwKr2Qw0rm2GjLDwv/PZcrsG8Bu4hMwZYHt0ru4bljsLO5XR4VdwEb+d1t02C9cW2QTGfhD5tYNbQsFo/3WU63eHsMtnweuwW7qc25ObRbsOVrclx7Dgs2/wzWcM1+MR0i62wKNUGuGGyvDbUcgx2QNj+XoB+oBVtqLypY8PlRNQ0iQiFkSVJSxVg7Pl7CYyaB2r3E8paW6NMtjmU+t3E+JRPMFlaeAzRU1GTL7yUgnskaELALEVyt7TTvvpiHinZ1t8xVYUN4CeN4kuYqfC58hSKIDX24MgK2xYLN7wPeEz0b+sjES2mCll6VJ0e0xK7XGYbyXnjHocW2pQO0Ae7B1qLnJajYXrEW7qV93c6VVNbnXK/2LIVI13pGhvZawUgii3tKsZ8LQkGL96qI2vA5cVN8ZpL6T9zMmTXS8G3B3m677Vzjn+1gfWoUrtvaqltonLDi6VpXdBZx1WrhLMmCXcSmRPqOw1pbQQzNnSMGW1iwZQ2eMwZb9XgEl60Zgu7+FBj5z8RxLOWlcriIy1bKCGbKlq1B1hhs0YdWK6bq/Cyb8EP+XMRtWcRTU++F1Fv/Y279tYAmkov5FbDtLuIBbDZ0q7KwUsQcBuxAY7Dl5zMSg9ueng0/v34KDCbE69LJqxjeI8ZLZMLknK5uZTm3fQ4LaEPpUMZUwIotBHgjI341BexCFDby5l6es8R1FOsiLif4k5M8to+VwjM03xt1MT865r5yuYjbj1vgfcgunQXpT1+omEWpIl4wOdz+jX6pBbfmoCzYtrhW4XlWExVnqpbzprgs4rJBSJMqV6h9K6BmkHLcBGbBZscNfv1xGNi4oSnxyr/rO0yjUgL2ySefDA899BA8/fTTnp/5/PPPWQz2SSdZsx0SNYCXVjLXhsCRRdzpIm5YFgp9aOXzottKgZtZdbinNrKQ2yd8Wwy2vLm0CLn8fQXyJKwJixhs1XqtmPQphxbSIjjaXLhlF3FmwRYLuHwfhfCMnxVxTl4CiIs1zjg/P6bhelUrLkMeGbW9YGPfkuQsgEWDJV6SPUFsMe4BlumyLIDhKMxYsBYGhjNMkeNsV7b6z1PraOa+K6MOdlfk3Ob5AhLo7TXly1yT2uIiHinOwyhQCtiYW+fy4CzYhkINYzel+cpiweZl6nxtsm11sL0szWXLrp8pbM3D60pNvYcpOgfv+yVkF34I5UJNDsDQXedD4uV/QTnxXvcxAVb9ZxF3826K7XCU+X65BF6v+akW7qVom7gndoOGX6RrkedGx7NvK+FZLRdx08umsLXZNayqHOPG9iyGYrrVWln00Ygu1+XbTwDjr8855xxW7/q+++6Dgw46CDbYYAMIh8MsPnvatGnw0ksvwTbbbANnnXVWeVtNBLYY5YqPc7qIu5XpKtyCjVp0x4YhNcg21X5Ru5davltrSc6MSUye4FxcxPMJ2KoW0j8hjmNfYLyw1L22PeayxR9/d6tZLfoaFzDcrOAG1a5w8VWmS8r6WUPkdM0GgJbjfgPKkk9BHeyB7Lw3uYu4lOQvCOumpeRIrLwLoa2vhpJ8/NnLwlU7Bluy6IeaWkEbMoVqbai8Fmy7ZTkz4wWIrreV/68vm80UbdH1bblK7PezDMKuQ2gXQqRQppWp/rafseI3dt7i0WHH8LJJlexaKq95bM2Rnj1lxTxIvHwTtJ2Yx9NGrH8VisF2HLfIsms4ppHUR09CdOOdoRyoqz5nruvZz98FdZ9vQZiXegycXJZW3i/FztNK30rIxjAcpQbCzySFeNMuX4NQvBXS7z9Stphoz72itP5jySe1fyU0H3KWueepANaqG6aLeK5QR9fjyPtVac7ReK6DUMd4Ztkul5eAH4z7LbLiF6PkcEnUyUKUgmhgrjGDbuEpfV+u1lLiuApTkCM+Cs5YAxvLcP3tb3+zvDd69Gj4/ve/D2effTbVoK5BPLW9uTYEHi7ibCMkLJHFuIiju6KcJC2b0uOwXQRsXCAzs1+F6KTtIDx6XeP19MeSJ0Wlylf4SnJmFbC9rJBi8lTyOJFoYLNgiwziORKcOQRH2ybQasGOOazNcvvZ9bCSJ2mHi7hY4N0s6WZsPhdkXaZ0jLccfvYa1v/NB/+IlSKpRjZSN6ITJ7Of5Ft3SEnOpA1NAEKoIUzivWEu4o5C2FAOATuRUgzBWqmUhtsvctyhzTNCWWuNyQ4asz901J5l/r+bHobEU39lv8d/fJv1TbtiqgweN/Y8FsamVzzbbPwGVHas0ARmfje/kkeHXSlnKHKLvHeGaynmHxiWMuaL+4PPH/+Mr1AErxjsIvKJFGfBTkF69mv+vuvikRLidcXLgjSnKos/gXAZSjGya3KdH0MQ3+mrzFpfdNbl5CAM3H0RYMGmrnP4/F8FjLVTVpbHWyC60c5MwMZxiuNC5FApvwXbHEdY8ol9dNM9ILbp7lAxbKFdosRowWFNsou4PKfwa2/a42RIvvyv6iZpNcp0mXWwlZWfMW/AcOc6Po/hooQpxzVJa2frCb+D5Bv/NfzxKqmAqTUKjnTHWtdf+9rXYNasWbBs2TJQFIUJ3RijHY1WsbwLUdSkmVPj7sgiLiYxcxNUTJIz45xopWrrAq1vhefGBIXr1Nt3A7a+40e369/HBE3dy8qfubWoJGe2Cd+S4EhzTHxZLfeG14jRFvfeb3Iui4t4Lgt2zPxbnnglARsFaM3NGmDECOWyYAuXdhcBu28FKNwlK7voY4hvcwhUPgY7j4u4nMXdpUwXLnbpmS9DfPsjCy6jYjwz+Bx4ZC4vR+zaYNLs57c+WQ7DySxs7VmOz2fSpzI8T3bvArQuVuLcGJfLNq8FCEvyZ5kr+7jRjnqm5nnKIGAP2xKQ8nnIcg/xvOFga6Aqy2bn/5Dfza994ycNu5KTnMkhIW6bTknA9pUAyMOCrQ7lTwQbVAx26s3bS6hDXsZnWto3qH0ry3MOab/RtPc3mUDddMB3mfDJLOYlJPeTywvpa16V3IQ91np5zA098GtoP/2fgZ7WM/yA92t20SfGS8qqzysqYBvCsN2gUaAy2qJMld3FhQFDKC2qmdhN3lvy68UkbEP3/dLYC+fDVUFgX48CQOxlmvb8OkTGb2J9MzxyBWzfM8ezzz4Lg4P6JgI3XNtuuy0cfvjhcNRRR8FOO+1EwnWN4+n2kxryTnwiNvhiQjcSd0mTWTEu4lwgxknMLBHlLiTjBO4Ar0XO6FwlF3FmnTbceLxisK3CigF/P5vnETQ8eI0YbO8a2KqqwX+fmQ0vT19iE06s/Wt5LxSWlCQp92QiQkDHa5X2ZZpwP8ppwfbpIl5pq6lfRYW8gMtjji+8w89eDZlPn4fESzeU0AYPIb8cSc6iMRgyEpsBTJu9Cm56fKbtvPp1JqfeC0P3/iKnoKn2rw42VtywNMahaa9vsHET2/og9j+67JXT3czwRuGZytnc6Ne9WRJi1IG1eWKwgxewsR6y5RyJAYfyqxznzcybkv9DfhOH2dsnVz5o5pUOkmhXLC0G2w1LHXofGd6NcWG3YA+awlmp4DmE9dnNgu0bNwG7TCED9v4uV11hc60KQWy7w6H9O/+C+FYHGu7oojxdUcn9pPnYXTlRaQu2bX2Q1lst0R98EikvCzYaNnqXQ+K5a4yX7JUeKl0b3ExyppRgwZb2ruKeSwJ2tUpNyf1vHwO+53KX+1KWpGNizIj5VVbSK5TkLC/XXHMNrF1r3Tjccccdvkp3ETWAsZlvcj6ALg8r20CIiUUkyjGssubDY7gqqzgR5d6MZpfMgKGH/g+yiz/Vv9vUKpWIct/Ey65sYvNtd0tE7X5VJkFp4hATYMhIuuESgy0JumKSy6rc0uRxCpW/I65PyyEYLljeD29+shzufnEepDRpc2oXEuwCnVQCwriPYgOH5zEyWHq4iPNNZiqtwC1PzoQP5602N/aivfn6p8KZq8348TwCNl/AlbWLXZOcadxCg3GHQceBFxpXlvtckgVbErBd4deGigO05KZnvez6scxnb8PQfRdB6g1/2nRfSBYKLOnWfuYN0LTfmRBqancIWOpwb7Dlp0SJMKMUmOY7aZVVwDaz0uov2LOIBy/cqKsX2ltkulAWG7/nAz/eQ75j+mWhL94KzQd8x/hThAdhFuWirNj5FGpy2Iwfi4vhIh4uSyI+nBtQuTX8xBX6nGy/zwUptJ1u/OVMDCr3t5ook0LMiMXVvX/QddotyZKWLmJ+0Iqs4R40hlLUNmbtwla/bb4pkVxjQ+lZav1sufo3rwXbVqarwP2fWwy2pQSq4XaP4ZBVCpkS8yH2v23PhooVf8dwmSfKIGDLinH+AhhkqqekqjYl+b7ceeed0Nc3cgPY6wljMy80u/k2SZa6uXHv0lOOMk7eJJ65imk80+89pB+3qd20YEtWMtxQZJfP1Rc3abMjNq7GoieX4qhGJnF58hIToDHhi3uVz0VcF1hbm92tJgp/H4U7LLWifPmRZwy2ophC6vylUn1Um+LDXoPXtIZjkqGM1VIea4JQJOJeJ1jEKvIF/9l3v4SpM1fCdY98alqwxfHyKF8qnlgrj3Br32xjLKElJjcINytbGRZHLF2QSgfJ08JNwNY6Jpi/+0zKhYlukMzcNwJrphwry/6Pt+ou6oYibtioq46ZigfvPC/Ac4sNTbN5Pr91hi0C9prKW7C5JSm+y3EQXmcziO92ovmmW5WAoPBzTJ8eDoYlqakN2s+8HiLjNjbeCzd3GMrWYmrV5kzIaLcS+qksIMap3YI9tDYQjw4WojDUzRR3LGmYUPQIwbGQzOxuQmI5M9lL+wDfgoBEdsU8s+pEkR4JEBcu4kVs7qW9TzXDz0xluq0KiD03RcC1mx2JBOVM2jZPNMNTplLYy2sWa8G2ZBHn91m6bstaXCULrBlChgJ2U1GKDVfrcTmux6bAlOdArZolIqtMFXPQExVFZB11KfruuojIGychlLu4iFtclQu1kODmuckpYGc/mwKJJ6+A4cf/bElgpolFl78Wau0y3AirsRAamzZcdITl2pZ0w7rZ0pxWQh6D3dLkIWCHeOxNzzJWakUIM0JDL5NMm4vM58ukjU2ODV94zCTrAi6uSfZ4ECVPbC7i9piwngFpYbZbsPMJixXWEnttXhx4JIUKws3KsCrzNjTtejxEJm0H8T1OCf6eSDGobgJ24qDzISZi4G3jxSvRS1kWTnlTIYGCNkMI2Ku/CF5olPrDbV7yK8Rg5vmcY6UcVjE+v0fW3Qrajv+tJS7SnnAwSDyPGW1iiQsZBVqwmUukS3mccNf6+uFsVrTCFGoez7u8jvmIwRZ97Mi7gC6lASQ6k9eN7JcfGYqlUGtnwZtkt7XRq98yc9+EwXsudIQcVMpFnLkgP3E5izPNiT2btA1jffQxR6U/fR6Sb/zHvOdS+1OfvAhVw0uJYFMAqb3+kzH6wj42ZGW+7T0UsIMMESpUkBPzRKFtsIx/w6gg8sWEzT0ve79KLs5Snhi7h4Y27FNx5bJPKYfLtmM/Je/3MiRgEw2OsUC7lB1w03AbWsywWeTeWHjkySySo05yHkLNbaamUHIRz8x9Sz9dz1LrxpUv1uI1PYa7rXqaZrckVXJSLPtEI1mwxSSXUXML2FkhYItFNNYM0c32ZJlScwnYiZSc8dq5+LSfcT20nXYVi1ljGnGxUPGJUrZg5y15wjXqFuW2YcEWC1ltuYgbG26fLuIOAlik7O5u+Gy2fuUXENti38DviRxTL8dgC9KRDohtdSA/rz0pl8dzXWzCKZ/tlMFwEva+mA8kK05g3g9ygjXDs2bAl3t48rVbnMfxGCvJ128LfFNqKmtcxrNd2RUkXsfE56bABESOEjz2Q3aMZ/+rUuk237iFhEjnCcmlpPK4iOPcKMZFyC2xYRAbSunZV4d6jPUt3DKKv5gp0YLt/n02NgfXmlm4i0BWKLEY4QLcd5Xuxf5KiBrlKj08EkSSMx8u4lgbPDPnDVB46Jo8/6XnTdHDgyoMmx/EvOFwEbcl1gvcgm2raSzlYXGEG6ASuIJVXBzrQ9FJzuS464wtLK5J91wrcl9bCui5ofBwHzkc0C5g+w69EGF8HeMhPHYD/uVsGZUBTQ7Fo0YCNtHoGAu0W3kOlwnEiHPDyd0uNFpKqWCMnxnDWwiheJu7i7jsviMJzsIdyRSwWw3LVlUt2JYEObYJ3yWLuLJqAWTn6UqEtBrKKWBnQnFLlmCMRWw59GwWn2onmZbKaGQkK4LL4oP3PdwxznzBVqpL7n8ja6k9BlvgluTMKFfmomhwo9JxTl7xbX4F7CAWKcmqNufLHrj4pqkwY8Fay/MWWG4BKcmZmwU7nVWkZHZ2ATtbuT4z3LRtArZ4zu3hIQG6u8qbNyM3hA9rJG7Orcex3S83BUDQtbBzuEDbwzWCxLMuNXp+SO6bqp8Edcb9d38mw62jik6cJXuLRNbdkv0e2/pg11wfdhdcx7F4nDVueg3PiqAtRLIVGENxxL3higBHZvpcuCTqyldPvCRvB3uuikI8NqR7p3bn8FSwx3wW6SIuz68qD3myK+x8h4mUOb+L8bdNAaT2BCtgO+ZTfB6Ekt2lL9UiEw8WhaFYCTDJmeJiVECE514FLdjouTH86O+ZUk1O6Gb3WPTvIi7m1Ki5vpfFgm1df5oP+J75HgnYRKNjZO52sWC7PnBGzDa6CFsFbIvAhlo+IwmWdQOHbmbDT1wOqfcf8bZgu2URlwVsaUIXC51hjcdJJ08W8rLiZm0TWk/D2i9nTNHvm1FbmVmweQx2Hgu2iGVzyx4uwCRjxu+SgO1Hu2tuwtNsQhRJu9j55Czibt81EryFvBUN+dpQ4RjsfAnG8rUriE208bxE4/Cvx2fAqt4EXPPAx9YNVECWTkuZLhcBO5PBGsm2DPj2dlaCPC7irgmbgrKky4mT7F47OXC4gNtzFfD3YzscLb0Y7Hg3x5KLRc+tzn1QeByTuW6K/AUr5sHQvRfB8ON/8ncsL6skFy4zM18ClZf3KybfQcsR50HzYT9htW6NY8f8u4iLRGbRUePcS9gF8bxIY0pZPoc3MmSELhSU5MzVgu2S2FQ6pluuFt/YnhllxWcsZ4Lnxwe7Ibv4EybsyjHbIq+Ar2RXxbqIS/fBUKbZn/lKukC75nfJvUahBTvIJK8O5QoqHA0Ltku4QQXjsO1hVY6cNyVYsE2LMZ8LhFKhAG+RoO67rlSTxrjdgu3Xq0KqBGT0YVmyiFv3U+FRE9gcyygm0WCDUFDh6p/97GcQj5sP+4oVKxyvCf75z3+y+thEbWBYfV0s2G4baNMFq8l0HxZWSDGZ4YKPP5GY7gBsO07i+X+wRC24wcLkO64WbL5hwM9gqaPmQ8+2CthyDDZffC0WbPHZKgrYstXIiB0UC55bkjNpA5cyXMTd3RLTYNts5tj4yC7iqYxcs9nH4iN5IQw/c5V5PVHZRTyT04Itv6OJv+xjplaSnOVJepRX+8qy5muBuanLyhGL1RzvSxB1JKXrHfK0YHtYA8qxIOdNXuThIi6ec7mNAWnIraXphAeGj3Fpuz+ODQw/RnTdLSHzybP8tYA37V4lfaTXLLVfA4CtB16CHq4LtvwFWGYN742Xhdir741Dcgs2gorbQur/mgo13TvBUbtXVlx6ea2IY3EX9WjHWPcPBJGfwWXcRTfcyVA+FJLd2k0phf2GinI51h0ztJt/lDC32a4/8fzf2bzT8X0pjEJi6N4L2flajjzfImA7arvL5FGQ+nURly3cXgJ2YAq8ApDjgfNmtcdrwPFgT5IZkAUbrZ+a2LO4hRPKfZYacibrDBK7EGzLeVOKBVtctxhT7LrLVDfaDYunBO6p5ZwgNgE7u3QmmyPksZFdMpO5mMe3MT1zjPkZrfEWT8SAcanSEOJtJgu2DzbeeGPIZrMwPDxs/Gy00UaO18RPtWrHEU6YxTlHDLbrhoAvKihghTxdxPnrYkNkt9zI7t3JIXcLthT7ll3wHmgDa62avBwWbD1JWvVisO0Zjxm2jbm1ji4vnSMtQEKu8nIRT2u2jN/c9S2/gF2oBbvJUKyoK+ebb2AWcdm1yK2emJi4JWtOllvmDQVDXgt2hct02RZTTzwFbMXxXqFKAjkxSFuLyxjSD1rQMb3PJSc5cz7vaVTIeAiVljqhZQK9XdIfP2su1PYs+fYYbEsW2FTwShfjXuTfjDgSztg3MGKDJtekDrJ2OM7HucrO8TGefPmmYNdlSWCP73aC9T1cM+Q61oJcAk++GGxprSg0tjfn/bHPA3meYzEGwy0ua2lQz4utDeHxm0DzIWcZ49IhNHsoBdBy7Fmr3NZO5pZaQvZv47tu9y+XxZ33Y3b5HKulO9czkq/smt/NvfS+UJzYvUuUJTMqH4ftUwEctIJan0uy3i7iHsoaLNk4cPvZMPi/n0B69muBtMW1fXavQZHktmALtqRstIfFibXHY19bEQEb1x3Jgu1QOqYToNhKgyaeuRJSb/2PvY7PMo5Z4WnHXMTlqjtBt90lIV9IKLlGsIu4bwv2Lbe4ax+JOoDFYHHhzi0G22VDYIlHEYKT3d03HDIETM3NEi5rx13imELRZgh3rcdcJ4VlR8NsuG4JKORj8IRoTFkgBNkqJzkzsCsj5GvhGwk5bi+l5I7BTtks2Llc9+QY7EIFbLkWtuV8zIItZRF3w2UjjacPSQtf3gWw0jHYeTbzbvWNHdmC7e/h324KrLy1qePQ1hw1srAPJuUEdcEm8PJyEdct2PxeqFlIf/qC1IY8C3Ip7qSc4Ud+52qxNv4WzwwXbiyJlDLlE7D9bFzt8XCOedAokcaTCeKzEKTHhuza6+ZeLTbMGNPfvwpCo8ySbKUgK0LjOx+rK0jEZkpOciZ/J5N0V/LKVmYfFmxE7VsOkdHr+WxrnjJdskInz3gXVtGwS/y1n+/7wjY+opO200smhr0siW6aT2CVJ7zq0OIa73XdJdWv9rD42S3mdvDaLAJ2jmckr7eDmJPyxWDLArbwkLOdNzP7VfbT8aPboVJ4JXv0/kJACjuvsSvci13WQ3Tvz85/x/g79ebtEN/6oGDakycG2/CSKaVMl1E5xTQqMcrpUu2CxRMA9xd5vDQwKV904haO1zEEUeVVAOIiDEZ2EQ/Ygs2UMm7hPTHxDI5cAZvKdI0ADOETH1RLvc8cE4isIba74Yj/xetCU2XXeksugq4a8XCELbjNe51qZIhFy7llgyoJXkaSM+7KhcoCQ0tWzrqeBSU5s8Wry5Mmf022YGcVLWcd7LRWgIu4JFSn0wVasLnmMfP5O7bz2bOIhxxWJRGHmM2a58moWmFJziodg22vp+n1OY/FAZ8ZozateK3Q8ktSQq+MdO/6hyXhMaiNkzRWB5NuArZkwWaZdaUswi4afLlObUnxmm7Emp212u0x2EoZXMSlDY2ZpM+PgK0/49Et9udts7uM68dgxywyZjAncv+4WGjleOVA3cTFnIsWFrtAHfYWsItNPBjGsozysQpJdubmbSQRnbyPedx8FmwutIWbPMZ9EBYvm8IxPHZD/RevZFOa4mrRV3PEMTvisOU5OjVUvOXJSyDJdzx0yZWTnea0YOfxdjBCSnJ7U8rKOWMfVMa8G77JlVPBjcAUsS7XqGZM4Ux4b4yZBJENdvAsm5f98kMoB7JSWv+lyBjsrHcMtukiXsbqC25tkmPZsf/zjAFF9jSUEMI1+30VL2eJ/VeAV1bxCl5TYRciCzYJ2CMBIykYCnaS0BtqFjU1c1iwpRhshwWbvx4Zt7F+mJVWlxVLfJdbPJXcFq5JZwue3B5p0ccNFW5+VFEiBS0hhcRKBo2kZV66Zgjen7PKooxgWkj5uoUFWxJIwkoqpwU7qRZgwU55uIj7gNXDxrVk0cfW8zFhwz12JzxqIrR89ZdWK6j4XfzqO8lZdcp0uQkk8obMyKBuBwVsnnXW+F6BG1JZQSNblRUN66qLGPaAXP9Erc9w1BrvLbmIe8X6uW0s0x89Y/wedMyd2/Eci3WFLNh+7r+w9onSJHi/kks/g6HX/qO7lopjSOXwylGCjSm/3IRaeQ4KMOGMY0MqWycxdtTNWpnjGTGEfy837ngLtHzlIvOFQpSqRiyi+/Mcbh2t5/9gn82zATUs2Na4yEATIErjLjp5X4huvAtvaA5XXXsuAJtXV9O+p0PTnl83hXR7TWObUJ9TOJcEqaGHfweKnPHbS0B1S5AltxnbJf+d4xkxvR28BGzuJYHHyzUvyxZuQxns8cxX0hKXx+PCQUDziWs+HlRmGi7ieh9GN9rZ3LMNOfd2mH+nLBhKad7vxSosLXvMrB7KZ+wJYpaa88VULSgGTc7GjjkSvMa4yIkkK4c8rj+7cDo/RkxyeVfKmJAv5tyrKpnK59ipEciCPQIwkoKhFUja9AiXO9cNgVymy77ZtAvYEyez/5WVn+Woh+kyScmbQSMGGF3E5fbIWbgVligHJAt22bRyBW7If3vru3DjYzNgyWrhwqrA8COXQuqd+6T2a45riij6ot0S9xCwwbphtrj0+XURz5F5XBDf8Wj3cAEpyRm7x1KcdWSjnSDCBXMjjpdjnN4tm7oL9s1dxbORcqbNXgk/++dbMPtLPR6xaa9vuB9AwdJDa0oSsI1xHo7CsOQWrqD1X7jdByWI8bGa1tyn/AxzEfdIpuO26ZItaEEkYZNwFdjtArY8R5ShTFchAraIwQ63jzUsOstuvxjSs16DzIwXJBdxrK0qsusHON7l7OcuWa2jm+9ttjWPy2xByGuEfRzkcBH3xOOZlIlO2tYos6Vl/FuWxFqU69gWoSzXsfg1hG1hDMFmEdfHB15ry8E/NJRfQuFnrOl8zLnWW3/jv5a/I+M3gfiOXzHDxHJZsHGumP1azuzfQpBS134JyVduMl7z2ky7VgCQXI6ZIlduQ65nxC5o2ZG89TQeUubaJlnhJM7n1X6vcKEquIi3ffMaaPnKLwBEtvSgPZ1kRRQ+D2IPIPqQ7QujFS9jZliejTJdxa2TjjwJeN3GPM0F7LYuR26CSlmw2Z7cw0sjItzCZW8kxcecZbi8Z8qYkE8aN3HJGDRC3cRJwB4JuLl7y0ljXB5OtxhsM56WC0v8dWH9tGQhtR3XtQaq3BYjXsN9sxziNZvV3hWmi3hTu7nhqFCmx3yL4LLuhLEBUnuW2b+h/yst4Ksy7a4W7K031q1hCcX6ujVpmpWELYs4LsCsbjYuxPkwympZ7yPb2FmyiNvek5At2Kk6tWDf9PhMZk2+8dFP2d/hznWcCZz4vbAL2IVaB4ViK6NFZDWSLmAbmvmALNh8sU6p7sIwyzrvKWC7uQ1my1bGxtWCLayFfKG2xmAny2DBjhq1cZU1C3NvLrjQahF2xPvJQfN5l1zEA01ylichUvN+p5ufDXCjY1hYjLqx5vjRXcbDBQkpZumlPFY7oTAsyIJtKrM8MRSJ/lzEvRJOBlLWTh4zMmKTzL1nLHW47eWxbC6kxmf5nOfMFWD9fnbeWzB0j4+1w65w81BQuOZJkcYDW9vk+c6PBdvLRRyz2IsSnjlq2VueByMxqYeAXUkhIc8zjd4yGJdvzicBu4jLnlsKuohHrIod2fBSSex7LnH9JcRgi7+NUB5UhOKh28ZYk9+VGXupWnuegdaTLoP47icbFXksz2+eOQfDhMR1BW7B9kg4GJKT45GATTQqlnhTafHL5SIul0Nwlp7iscT8daH5xwlCCN/2bJRuMdiygGbUYfYQsMNd6+tN7Vlmremdp0ZzWRGxO9IiaGTPdrun9izskTh8mJzkqIN99F4bwYE769c7bBOwc2kC5fJL6YzCFuC2r18BUe5hkBMXi12oc4I1rsZu8bC5gMoWbEPW91mmq5Iu/mwh5RsSrw2axeCOJS7s7w/3QvbzadbXCl1E+JhN80R3AkVRy2fBtp3LYsF2y/rs6Tboz5WzfC7iiqU8SdDWETE3YfKe4Ud+D4pLnKFlXgtHLVmuzWOmjXkQNxzGXBrkPcuX8CneCpENd9Q/ungGDD/5F5a1PfCNlQ8Ldk5Lhs+8CPnWimKUEOy4QojI5+Kd14IdYJIz+z20hawwLzThMppHYBaZ+I1xYv+82xztN2ZfXguUAlzEZYWL3ZU0pwXbRRC0N6kpv4BtySJuuIh7KAgqKCT4TXJm5opQy3Ze1ifibzFGcF+YS1klG2KChPcNJod97cOlYDjtlVIHWyhsbUo4YcHWcliwcX4ffvIKSL33cEHndz2WXHUH22ebXyNjN4CmnY8xFWWWUmO5BWymkMuXrLbYdueYt0PcwyIz82UYiZAFeyQgx/NImxIsk+W5gRZlutA6kcdF3NgQ4+uWDbA5wbrGsciLsrBge1gl0JLIDss2uiIjeptvq0M5EPctK7lxG7mqXAVsW13c7Y4wPi/Xwd5vh3Vh0jq6G9/c5dZNSa541wE5jlfVIIuCml9cNsNtJ/7eVlMUN0MhbwFbsmBnskLRItzuakfAtigKonEYTmbgvTmrmFLCeDkqeVe4beJwMyg022JhKTIGOyWUMi4W7OAsE/q5kor7lM9isF3cixmqwjZZyTdvh+Gnr2Q/yuJPzLeHeyD98TOQXTKjqKY5rA9usbtSRlJm/ZWEGGXRR3ldWX3h5iIu3lo+z73t/Lws2Z/LOGGbcjkG2/AUUSuaEV88w5m5b4CyfA4kpFr3xWLJ02GPwcYKE6HiXMTzWrBF7GcRFmzPnAqFWLC5UOgVgx2EgG08E7ZnweI1FIpA835neCqZ7clLDS8Qo2KE3UW8hLlGzrficZz0J8/B8HPXWjN32wRsuQ25vLWMa80h5JkW7IGCLNiea1UFXcR9JzkzFHZBW7Bj1tds86HbHOmgDAoJsWa++MEyuOP5uTBtzuqC51NLWUO3sRe2WrDVwW5QVnwGQ49dBqn3H7F8LbvoI1CWz4X0h0+WcllOLxApBtsxBtwUZHnmnOimu5uVMYIuO5bD80jj/YL7g2rUk6+bMl3VQlVVeOCBB+Dpp5+G7u5u2GSTTeDHP/4xbL/99sZn3nrrLbj11lth5cqVsN1228GFF14IEydOrGq7awlZKykvKKYm29tFHHIlOeNCANNc4eZEybIJCDejLYefaz1enhhsow6zl4u4yCI83GPNNOzX6lAO+H1FF1/BEPeNdp/ErPcvxYXQSDgEHa3m5jgcDsEWG4+BeDQMfYMZ6P/GH2Bc90egdi+F2DYHuzYFs1Dbk1dhHHY04k+H5pqQSLh+epVbCHtbsFOGZlnzWaarci7ilr6JxOAf930Any3pg+P338R4OSbfN9umvOWYi0HtXc5+D7eNhsz8dyD7+btFxGDr/SVX5UKuuu8j+Pt6EV2VEdC4FtecyLoL0bJyxOXboK5aABmv+qbpBKTefYD92v7df+fME+CKfaPv8uxY3HGx0oBdC4/afxcLcslJzgReVi0+rzHrtZvwxgRsIQxEyprkLJe1S1gSjO8EETfpsGBL18/i8Qp0ETcyfeezYBfjIu5DePeZz8OMwXYXsJXuxUzhEy5lPBqZ521jShpj8d2O1xXP6PqpACRevAFav3qRqYQVY6ypjcVfi/Eh/ndY8TzmYBRIPJVvHMv74v5hOySrnMrr9mbmvgnx7Q53uohje+Q25FgTzPq+kfwCdo4SnpY5W5yvFlzE/Sqbisyinf85scZgO+YW2fDCiW6yG0Q32gmSb/5PFxBTg6ZSJyj4mvnJFzjvxqFnKAPQUuB8Ko97HLfc29JYU4QFmz+/OFcmXrmJWYHTqz6H+K4nmONdUiKiQshtzivORTxrPEchmwedyCNhdRHPPWc173cmU3CVw5iRM1wjZXV7N/aUI4Sat2Bff/31cMMNN8AZZ5wB1157LWy++eZw2mmnwZw5c9j77733Hpx77rlw1FFHwZVXXgnJZJJ9NpUaedoSPxsheZFQQkLz7WLBNuKcpczjdhdnyZoZiuuLembGiyzpSeq9h6zHcy3TJVuwm3IuYmKDrSW5e7iYBKvpIm4I2OZ19IkSS9LkF9v+SOt944tBIqP/Pbq9CaKRkMX4E49FYMsNdRelmatC0LTL16DlsHMsZRDkDdDSNby/QrrAjrhli/bEsZHjpXfke499E/KwWmgaJKQka0muPHB4PXhQ0SyTksYVF0oUrpHpc1ebfWaxYFvrnEfX2wri2xzMfvRsqjb35UKtyi5C70CavxZwhmwvAVsuE+ZA04xrwzhjo6Se20cLLVVmc+HEckTxXb7m/BDGjYpcENgWj1JYpWAKeGYMtgF/T+1byTYqQgEpckswV103Db50P5j1NODYel8JnxCPeOFgLNi2jL7sxbB7yEFOC7aP62DvCwt2AUnO/LgU+60Tm8eCzWKX7zwPyhmDzdrL5x2RtExdsxCyCz9wHKPtpD9Cy9EXmq97uYh7PUN+LF5y3wvlgEimlgNL0j2bBTun0CR7hXggzp9TmSQnu7LFYDdvvL3lGgJNEBhUHeyAq6i4nhePbS+b2NTm8AZp2vs0iG2xn+Q54K3YKBq+z2tu0ecARStiPpXLSgnDDRNopXKKiBwaJ+91pPEkKxDsZTsLRU4CKLfHGSbi9EBxGnTMdR7LR7I+Mb4XsAVbtDOXdxBUeI9XI9S0gI2b9rvvvhvOO+88OPzww2GLLbaA888/H3bYYQe45x69Tuu//vUvOO644+Ab3/gGs15fffXVMDAwAE8+WbrLRqMglz+JTd6X/TorMwkef3sxfz/rWTIg1NLhtLrYLNiyu7lA7V2WX8CWNmBGyQe3xRA/JzZVYsMqJp0qlukyXXzN+7BwJZ9kxT2NtTCtrjWGXW/rcFq/j12dTcxqLRDa0e021V2UZizMnWTj2XcXwR9vf5/93t4SYz/IwHDGkSH7hff0Pndg07zK2kirABly7b97X/4M+gbNCf+lD5bVbgy2tJHvHTQF2I0mmpspi+VfXjjcNNReFv587eCbBcmz3yChcM+MgDNko8IficfChQnYIs6qdTSEeWyaK0W4nw3dZ5ZeQmEgMl4v+yfDngljHCacCrUgxo+seLFtasQcOfTI71hlgNS0hy3zFW7E3WISLZtMZsEOOLaejRE/FuzgBWw5T4d7DLaLBTuHwsh33KkRklG4BTvnsX0qaw1lk4cFO5AYVI/NtTzGRJ+2HPRDR9v0P8xjyBZmI4Y9TxZx12N6IStTeNtjm+3JMtiHR69n/ahk2be7xfrOIu7LRZwL2DnCR+R7gHk1Bu8631BSxLomwqjvXgfRzfbUP1BDSc4MjFCigOKd3RRRLFmVbRyiYOoh+Jk5eXLEvheBngRPHx8tzXw/KPYjBcynhjCKc5SwqLK609Zrtzwn0lyGCcNcj1uiV5DzWfCYA6R4eENota277d+50XF843r85lUIMoEkQgJ2bYGTxsMPP8wEaJlx48bBqlWrIJPJwPvvvw977bWX8V48Hoddd90Vpk6dWoUW1yhS+RPMPql+/Z/w74GDISkSHrkJ2LxkAEuExhdP42EWk5mcBZxbsAUYt5IPizuNEKBdXcnDpgt5DQnY4r6mpLhWFWsYS+gb9ZDVXVpYsNP632M6miAsb4D4/5MnjWb/L1vjrhlVVBU+mr8GHnrNrD+OwnVHKxewE2lDeLry3g9Zhuz7Xv4Mlqx2Wfjs1ibZiiTcS20bjBBXCnT3J+Gl9/WaqUK47xeWfL9ZxCvoIi4nhcLYaze38FhU6kd5k+OyiBRvweYCdrb8ArYYq0MZ/bpGtzU54vdVr00aPlvGHBLPaWF0lD/JQyFWSMPNOZ10KgVLfP71xHc8eWMuF3Hex4qINxfCFloyXGP1petjSc6sFRkCwU8CL5uLeBBjy+Ea6Mgi7mLBztVPPrOIG8rYQtpvlOApLQZb957Q73dvKspKIzbteSqr1hDdYj/rh0sQyCyZ5y1tlP7m1jMsk4lWKvmesPElnmcvC5hXkjN7uJCf2GNpLTdKorWPgZZDfgxNe9tLHYZcy2Sh4KP5zSKeI6Z+bV8SlqwaNMuQ5qpjbBtDKGSrqxfox2aKibDx7FhKepUZ38qmUMAWbOHNGIlBy1HnM4+llq9c6HRTZgK2zaptCNht+ZPLFYOk+DIcBaGI+VTaDxvhEnhsu1eEmNdwDpcT9vZKArZczaKE62Xtly3Y0ri0K3stMdl8nHjmW0CE54VQJgQcC2087yRg15cFOxwOw6RJk6CpydwM9vX1wdtvv82E6LVr1zJXcHu89YQJE2DpUvesryMSI2EGnzCYQBAyk3O5JTnj2rhwS4cZ5yRcqNwWYntG1RxxTzkt2LymrAWcYIQFRkxC9rqgVYjBFougoahgUdYh58ZDCM+GsMkt2Dxem7mISy7JaNFGmuORnNbFfz8xC/75kJlsCmljAnbcYsFGIVzUdUb6h1yEGluMnRxHa7iI40ZL/hzvv2Vr9b5ed2wrHLbrJNt90PTxgom7clFJBYmUyOV9ScAeSmZchW3LJs4lVt2aBM4/YszaHA0YKS1aFhdx0fWd7VYhef6SPsdYMtrJBGzT6p9z01egdrwQl3JLqIIjoVOJ40eeA5mLuG1TY3dJFxsbIWDjGMgjvOku4sErBH1lyLZ5GLHvlVrf1ebSbdkIhj3qYOewDhuWFZ8u4oU8G4bA4lIRwEDqGy+LoBDWtGgTfO+vb8KF10+B+I5Hs2oNog56IBYtw13VNt+4WLDZ7+KeiT6RhFNHfg1PAVtxvf++XKPlc9jixx3l6+QxID//WXuSM6Uot9SL/vU2XPqfaTAc1se8OtxbnIJPHNuYdyqf5AwrlDz8+ufwyee2kpACe/heqUjeMNENd4L2b14N0fW2dlqwm3JYsEXsspuxpBSk8dCf1GwWbP/zqSXXg+hjKQbbqDkvPQey8hyTerq1qaTnne0dNHflnJeCTB6/Ofa/xhpVbgu2y7PYtPdpI9qCXfNJzmRw0bv00kthzJgx8M1vfhNWrNA1Sc3NVvc3FMgTieInQ1nYqUUifPMv/s9HmmslI7E4uzYhI2VFci41a7lmvbar/lBG20dBlmvMwqCwz4mwF1z8xfciLe2YZ6UgorEohPn3Fe5u5zYps/M0iT7mGcQjUb0tMT6pa9ZrqAQh1ZmZ2SlgYzvFBKnp959fg4jBRoEaY65v+sVBbIy3NOnXFOcCtqLo37MnMJOFQ8Ho9jhE+KI7lNTvycCwdUL9YN5q2H6zsc7ENTiRi81RzBT6Q808TimTZH0hloFwNMI+s6ZPHysTx7ZCK7dgq5Lujh3GhwW7Uv2n8WRzqMFevdacJ2SXemyLaI8Wk9zlw/o1yyjN+tgNKSlf12A8t2p+ATusZoK5L6pVwO7qcMbyf/L5WgA9KsGKprDni7UH74VHOS/2foHPoZK1ztO5viu08mE1BSHbeIqEnM9IIahyBvl4E6gxm3XG3g+K/neIb1YiTc0Q5XORV9vZ5/lmCYdAUOM9y/sW+8brmJHNd4fka7da25Tqh2jU6r5bCGmVX3u82XJtxpxtu4esjTme8xDfqOH9z3VvFLEWKGn/95AfO9IUh4j0HbRAz1vcB9ts3AWxuPmcR8OaawKtTEpXAGei7cacIdqQkeYJdq2ZIUf7UKmWnv0GqIk+iG24A0TW2dQ1gViGz1Fhvs4ZxM0xFm1pM94Lx3kmdz4uZQVBNB6HkHQM9gyzMW19VrNibbXlagl7zGtylm95LxDignokFmOvRUavA7IaLSw9q6mslHQV5xj5mJBjrPD5SJzDuG+SMron2wzjuFLE8zh8DLu+F46wuTrS1AL4hIWy/ub3IEjztWFFXwae/lQvqXfH/x3m2kYkEgpm/VT4Lg7XRvl4keY2dg/ksadY5rsQRON6TpNIexew1if7A71fqpREdSCht1Plm9FQQfM/F6RxX8uF1QgokOVrSpiPKS0syRWS8jwsPTdqyHzOsrNehZbNdy/q2pRhm3egpPh5ZtoS6B5S4Wv7bwJjOrFNqLyM6vt2UNgeWuPPgwDb17TjUZD65Hlo3fMk9rfKFUW4ZgXZL4rYT9nnKgCI7ny0XsIsm4ZIWLPMvbUkI5WLuhKw//znP8P06dNZXHZbWxtzB0eyWevgwr/tQrdfMBa2q8u7FFIt0dnpL0NjNqIB6vpb2tvYtaX4PJXlQlA0rFquOdufAKbzDUdhzITx0N3awr7fFA+zzyX6mgCdYSLRiPE9pa0dCtWLjerqgGiH/v3BUR1sEXZzs8EHt3PMaHZOAS6selva2eu4aFe631JhjS06Gf4YoYCp9lqtQpFoFDo6W2FAGlvpaIh9T+Fa/7GjW9nr9sjWrlG6YIvltuzX9sUyd+3wxuuNhiRP4Z1R9XuSUqzWmFc+WAp7bL8e7LuDdXPdG44YVoNYc4txzmxsDPQLi5GULKmtrRk6u9qglwf2brTuKBjXpbdZkVzlR49qhl5ZO+sCbmgr1X/DPVF9/MZiFmu+XOYMtVCiPYmBDmPshSPmmDe+N6qTjd0oZAu6hjCobDsje0AI0lzAbo5pMDqA+9LPN2yD3EV8wpgCjplNQ+LNO9ivTa2tTMD2cgRvbwlDawHtTQ5p+tji5Lp/yfZRkFgJ0BJKA+ZnlOeb9rZoQee1k40koU/MeWM7YKCj1SIUxEJ63/ZIAjd7liHL2tE6ahSMGtOuz5viM1i1gVtLIk36Mz4Uwy0RQHtrrKT2yvTGQ5DgfeN9/9pA2fkIGPjwBeOV1lAS2ku5Z2FVX1c62tl5k01xvnUFiMVj0DWmQ7+nErGo93M+qGXZveno6oSWHO0aHD2qoOcNhc0e3g+jx3RCtN38zt/v+wBefm8xnHLoZPj24ZsZ/dfZpBprk+XcK5L6XNCqh+8gHZ0tLGdDqKMV5G1yWzTj6OOhue9C7xu3s9+T7z3KPMRG7XksdO17krXN8TA7VlNrs+Uak8MdbC1BRo3tgjh/T+toZ30Rjyjs82oSjGvBfhCZhxGlrZWN2eaY9XnraYqwcYQKk6wUt9wW16DN5T6rab5PYMpyfT1GhkMaGwdtna18fLVB9KgfwprnbmHvtzZH2LqBZCBjPMfRkAoZSXGGYTpe/Wuco6MNQs1x5rmFrO0zBaHmrvGG0n706BbXShnDmmKMWTfhFfdYamcn64t4WL+3lUCJAutPKa2J67mHjfkkHsh80t8UZs9WvLnJcr7IhPWMsY3Wa5wj+9pb2Hhhr8XiMGaMrnQKjVuHtT2WHQz0fplzdIQZD2QX8XiOsWInORRhzxAqkiLxJnb/2pojoEb0/Vxbe4sxPnt5dRzZQNAkzWGDLVEQvppYphK35KiMKJRUcoVlHYxKz8Ujb30JGoRhbFcrnPnVbfR2xeKgpbLQ2R6FGK4rKyOW/TG2b/RXfwDa4d+CMPcuHR7dydoa0Qrbp+SjvzniOmYE/U2toGTT0NEeh6YK79H9ykgjWsDGBfJPf/oTvPrqq0y43mijjdjr48ePZ27kWL5LBl3HMU67GFRVg/7+wjPhVhLUyuDA6e9PgOKj1nFqSL8e9IDt6RmCtd1DFgt2JplirwsS018yEpz19g5Diltak0MJ9rkMvz+obBbfEyWnCqFvIAnhrP79dEpknXaJB4cQDCSt14mxznjuLDf/Kem05RoqQTqpLy/9Cb1tE7paYUWPVVhCi/YAT6SlKgprYzqlT51J7iKuZPXX7f2bTJox1N3dgxZLx9wv1rq2aXRrDLp5yaXV3cPsuF+6CONTP14K22ygx6gJNGkDguEDok0a73/m7i1pcoeTWVDw+Mv7jHPjNeqfNNvasza/q1g2k6lY/6X79C1qWglZPNdX9ZjPPSopRHuyIuCLaazDjnamk/o1Z1L+xqDoXyWj92/vsP791uYou6eygD3cPwBaAPdF5efq45r/ZluSM0HbkT+FxNT7Qe13ekewdiloqfQu2dP98ZswDO0Q6VrXV7sya6zjONf9U+J60qLBNStBTVg1/oN9Q5Aq4T4pvVxUiMb0Z5TfJ0FqcMDSNryf+HdqSN/WJDIhUO3nRxde4eoZbWKfF9P1wMBwSe2VSQzwOVTR50QvMhHrZmNg1QrIrFt8G1JDQ0YWfDYXS/Xc0SGgl3u2yKST3s9Ilse4DiYUSOa6Dr5WZBL6/JYPOXyobyDDLMsCFK6RB1/+DI7ZUw9vQVY8/19WLSC7ZBazBEXX0Uv4JVetZP8rcV2YQJYu74POtjgkxRrG6V+9BlJjre1LLreGrqmJAeh57R6AbY6yvJ7gFq1UWrNco1jvkIGEBmFj/eWVI4aG2OfxuIKe/iSEQmlHCcUE/ywmnlPWLoLMkD63q7ZYyr4v50F6vL6xt7RdCudCLytjvkzr5xpKKJARbd90f4ht+hFkFrwHQ4PDbN1gbRk0j5FGr0NJkMmkvNcEcY7H3/gC7p+zHC774Z6w4YQOWLLSvO4VgyHYnDVUgRWvPQLNOx3tPA5fw12JRNkeK2m7t5UgyZ8tWcB2O7cw2A8MlDb/Geflc0lGta5zmYiZmA5j0tncJ+/JwlFzLxjSBbpkz5pA75fSz/s2HDHWbbHPyDWv2Mn08PxC0ZjhaTfYP8j2wchwUjXGZygSd4QfJobMeSc1YJUVelethXD+5PnONq2yrrfpYfNaxDWuWiuNPx7q0ru2D6KhUZDuN8Xrlv3PsN4Lfixj3kwmA+2X5CA/vsf6o/J9ZX/vAETjQzUpIxUCHtevZbwu6mD/5je/gRkzZsC9997L4qsFaKXGzOL43kEHHWS8jn+fdJJVI1wI2VwZdWsIHDh+2qryWDU1HGOfF+WbRAw2Wlnk46Tnvc3+j0yYDIlkBpJcwFKz+ucU7jGAWjXxPVXEcxfSfjUEqvH9HEMxFAE1ZHW/1EIRvS1cSYCTYKX7TSR0GuQT18QxLbB8gU34CEXY5oN9XtX7SwihXL5m8b5ubRePMH4b+0zObL3ULVEZdxFP8XJZfYMpdtwVa50Ko5Z41HlOOdYnEodV3cNMUzxpfJtZL1JCVUPsGMvX6MdfZ3QLZLmLnyK5iGe5QiEXms+xHARKhpdXkwQCex3vdEYx2qPIY5uPO8vx+PtqoWOQL9yDfKMyqi1uCtj8eVDTyUDuixirfTx2rYNbfOyEN9oVmqItkHj6b+7HCUdBc0texUnPeo39dPxIt9LlI5uwjuOc14oJF/G2DfY6kqkpmSyESrhPSpqXnIroc6TsgYGoqYS1bXzOFImP1HDc0XaMGTfi8mIt+uf5ZgPn0KDGu1CeYN/kOqYWsYYF4H0spQ3GuhLS7xnOyca5MMeHVF3B+E6uZ4T3qYJjP0e7RHlJHAN+2q/xvmWn0MKQGc5AEw+/wfKIWT4/43oUHr8pS3Kl9K+B9Nzb9NeTgxCZuCUoiz4GdVBXCGVi5i4a59nWpiiottAJZbjfOVe45RhxGfeqWGND1rVBkX+PNJnrJ99wq2l9zlf5HIeuu/pyY35PMz6bZp8dfupqUJbPMUtSYUk8ieS0RyC6wzGOeHB8Jtz6VQgkqASX2y7GvpoxPysfw55hHr2pvPpXPP/T5/eABuvCw699Dj89aQfoGTCPMcDnOiT9xYcQ3Y6Xy5SvIUcMNlqwcY+Fz3aQc3Ehz3SSexwhrufmYw7nv3TvGpbENojzaiHrXKK1SMeN63OZsB4z+LzJPtukj6Ps0tmQySh5a6j7bhtXqsjzjNhniL1VYXN93FAmobIbxzA7j7SvZfkIbHlC8B4Z49d4zkxDQbiIMZId6nd4h5jXqt+/oYQ03/F4ZzQs4VzJ/seXN9gBolsf4novxB4awz+CHMfiHog9ea4xChXeo/uVkcpFbQcbA8Dvfvc7ePfdd+GOO+6wCNeCU089Fe666y5WFxst3f/5z39YhvETTzyxKu2tReSMlHO+7IEnp3xhbDbckp0IK2V8h6PglidnwbPvLbVal7mWGa3WosyRWzbPvMguW7kS2+DCbqv/HKqhMl3C7XbdsW0WwVJvXxhW9HDLgK1kVZpb/cVmz44lPs6mhcPM3W5ssE67meQsgVlZNVjJzy/jljHakqQoGodf3Pg2/O4/02AtnovXi7ReWwQyWQVWc7c8THKGgju7RHnx9VOjPMi6wPngCylq6b3IyG71ecp0GdkzC0y0J8aP2AiigG2PwS44M7nbebCvRc12Ve9jPZbLg1y1gjHJWb5soYW0TUqG6Fr/Wj43d8vFTL92q0Ku5Fm+EAK7SNRju0avBHYajyF1K4MllyMSSRoNN9VAy3TZsnnzPnck6rLNobmSPxV1XjkBF6uD7bKxzpWMx3Y8bP87M1fAcp5E0Ti2yPzrsyScPDZueeYz+Nl1bxrz58Qx5ryGyq2m3U90VMHQBtdC+r2HQVn5GWhD+uvJVnMvIpRiotKFcanL50L60+ct5/edadgri7g8zqNykjNbbXCv7yO2+4fCtd42YdlzWYuVNKiJfki++T9ITXuI1YNXu5e696tX0j2XtVp+ruxZ4XMlORP3VKy3CW6Wl/ONYNLK5kPPtnzeQR4BmyESsFahTFdCCh+y7wEYfD5JTb0Xhu75OaTnvF7Sab2ys2NGePs5LXOk1NehVh7spqkw/OAlMHjPhWy8lIroQ1mRpXFFaCFJLsUzgrkILEly3Z4Zt2dBLu1mO2+xyXYd84KhvDT3G8PC9cRlDjT3+DnWZnsixIDQuMHIngjP/hyNxDrYNW3BnjVrFjzwwAPQ0dHhsEjvuOOOcO2117L614sWLYJTTjmFxWR3dnbCjTfeWLSLeEMiLXh/u/dD42XTgm3brPKFRIs2w/tzF8IhzSHrg8T9c5auHYZ/3PA23HDBAflr4LkhJ8WRSw/YCUUsWa0t3zVql1bh4VXsFuxWq2CJhCMs2/dFowCGExnolDbX3JEAmmIeAnZEXlytm2WxqRPsssV4OPGATZlwbZTpGs5A31CaJUSzY6+R7Si7Ji0sC5b1ww5b7AeZT5+3fT7EhHfcx7c0RZmbZC/3acP7gMOEeRP7WHQqOvnyc2W4gqmtOWrEdAlkraecedhRMsNS3qfAxZXfF1FHHe+fQLiIa9yiUPr1cvcwiLDxtuWGo+GQXdaHqTNXQEK4UnChJqcAjdatUoVZCY1XBYhuthc07XaCLwFbHeq1liFhLyr6GMKyOkVYTByZuO397JFBWFjdhIAdmbQdK+HVts2+kE4kjcSPRpmscigEbW1HweIP/32Plfn74bGma2+gWa5dsohbFDOiH3BOkRPSeVy3rgSyluma9WUP3PzkLPb7bb862OzXQud8Mf+EIvDubN0Vc9rsVXDUnhtaPoZlDceJGr5ShnV1AK3WGpvvmg/7CStRtLYfhYjZ7P2n3l4Ipx02GcbYlJDZLz9kP7i+xrc+iJUv8n3PhcLRZhUPda7jUeZSbJ5TVgWOm0LQK4u4/VgyaKH+bCpkZr/K/kx/9JT1fVHeibm995slPj022viDf1syc9sF2FxKKN6nIsxNCB/yujaUyJrPnce15iz1xgWGkFBkBFUysYD5SIpOggdemQ8H77I+U+QbiHvKFT+pqfdBfKsDiz+xh3IE9wPRTfeA7OJPIbbtoZZz6++bn8eSdQK1d7nervcfgRau7Ci+bTyxGfdgYS8ZJVAL8Rwzy3QJV2usfa4sm+2Yx1jCP4/vu57Xp9LPjjEv4LqWThh7cDlZrGXPZxeWfdSittT1DpJ8ZbrCVSylW2VqWsDeZJNN4OWXX3Z9T5Tuwhjsiy++GM4//3wYGhqCsWNtJSEI44FKi6zhHNOCbdsw84Vk9SB3kZWyjctZmFF7iJbQO56fA2dsULiLuGXxt7mlybCNhM06YJbpclcSVARu9RJeaWM7mx2upbhBEkI31q2WJxphwW72ELAxG7jwzLZrr4XGfqOJHWzvd8ZRW0Int1xjwhNkcDgNK7vd8wkMygm9BNKCqUn9ga7TaNnJLpwO2oBULiQUNtzP0XqNG2CMIxbg4oCJvHz1TQUnX7F5ERZstOYO2TTIGX6/735hHqT718LJ4g23DNpik1OwBdu0wsSjYaaksAvYgWzqpEU/o0VgdEuUhRt8+4gtmZDxy39NNT+qYvbkHNmwozHQXBQ2xSLKdIXazKRRXoR5XVtRp1YGN0jJ12+DcOc60Hri7/PWj8256UJslgDPEmxCKOACdssR50F4eA2M3XQyLHvi3xZ3cczvYSixAqyDbSoH9Gf21Q+Wssz+a/pWWATsyIY7QGybQ9iml20mS5wzhXAirKeWDZYQhtkE5uM5R4GSW9zFRlAObVm+dhjWG8cFC6O0TqbAkkdm+1qa9Gc2KbScXCAb38Fjq2UlkrjOpnaIbbKb/lKPWQv348/XsgSW5+zrnlAnPe1B9oMCinAxz4uHBTrc3AFtX/+LWdO2GAt2HkuW27ODYyxnuSs+ltj5uVdK2P5M87ak33sI0u8/Ak37fttqwZYSq/GDep5PXJ/dgj0oCdjDmHTGGCtKERbsKBu6RgnRgOsH54Tfz6G0uZ94afoSeHvGCrgeDRoCFwVKMHOJJMSqKvQNpmHMYedYPxzxsGCHw9C03xmQektPjMlfLb1xwoLN+xzD4dR04fOp7NEp5ixlsVmi0jKPuSibLJ4z9vmsyH2MsGCH28aAml7qLmCnpPM6LNh8vsplqBJ76GxaV6QH5LpvzJV5BewsjDRq2kW8paWF1cF2+8EEZzIYj03CtQfcMrB2yDoJudXBll1lFvdmLNnGjcmDC4qiJNXUmSuNJCsFYbGY5rFg40NqcdWtvgVbTG5pLqih5RizTMswLT2/T6I8l1gMeG4sTxdxuR6zPY5E1NA+bt+N4Xff3d0QruX4WrTKCvfwDSe0w7cO3wK+/9Wt2d/20l32zZgixbyjBRw3cJExG1ivLd5quG+uy10tx49uMWphmzUq/biI518glTULITP3Tc8atb7h7REx2HLJKhZvzu833qOXP1gC0z+XaogPZ1xcVou0YKumFQaz4OIm3WHBDkDAljcEuCEVGXeRmFFCTgcVOTndzJgQF9DCjPANtmFpykF4zAbWmrrxFgiNmsh+zeIGCYWAnqWgDqwu2UXcLph4uogbdbC5kImZacdMYi7SwuKOzFwyDD+/YQoYjigBCthCSBBz6OJVprIIQzgE2Kbm/c6A2HaHFeRi7YkQOISwJ899Lhmbc7vqOjePmAdB8NYny6VDS26dPhDXKbuWijwkQjATSkcjDtkF+T2hgBN8+NkaTPmdsx3ZBdNAXf2FvzYbtaSda0N49EQIt3XlFJo1LpyGXBSCsnup61xqV2aLOsG53NuFgM3rhLO12h5WJF+LpkL283ct5Y8caH4s2GGLdW8QhWoO80oSLsCShd04PB4/xzNguohzC3YVXMTlJGd2N+Fcz1mp5w1Jz+Cf/jedhYt9ucLqfWEZm3aLt+05cguhKRQjpIHvW0e3N5llUQvZ/1nqYLvsOy2W+abcShk1mFAlLaU/WyHxXPO5VdHcLdhCCamuWQjpT18wwjxkbzs7pleiGTJW7jrYVgG7PnJbjRgBmwgGkRBk1YDNDVZKEGYgLSIiqbJ4yI3P8UVZrvkseZn65rE3F8JtT8/SF/kcFmxDSytNds4Y7Cpox4QlFCIQj4VZLWu7wAJy3Wh5YWcW7Nwu4ohIbGbf0ImNISbXsdPeEjN6RliB1h/XDofuOsmIOXSzYMtlTBRposZasQxpMZqdXg8iG2wHy7mFHEuUCYTrpeG+5Wcy97FADj/ye2alVBZ/CiXBrRlpLmCPkQTsTdfrNATNRSsHrfXiUcAeTMJvbnnXerwiYrDZGODXjAose9KxlHAuCsJqIgQM1s4QGx92BY6ljmwu6y8+bz42dX6VIEbcra2GsBsoxLZ942/QfuYN+s/p10FEuCPKm19bAjRf7RCWgFAMps5YAUl7VYRsylL3l30W/xabLZcNpGzB+2xlmpWE6x7IBL/ZsLl1ru51r+0uMDZhJWyysH/VvhWeMdieljUvF3F504rlzTRNr8vOee2jpboHAHu/QIWW4SliPseDfLNqtWBndEHVY/yHmttd6y0jW0waxRSOgZHLAu3H/dNHDDbrfxeh0U3ZjQKqlnRP0GYciwnYvUYcrsNCZs9rYCt/5CDHM2KPwcZ+xDGTkIQQDJXImR8j3zwhvOSilbdgi/kokcdw4Sw9Vpry2QhJ4tf80fw18CXPzL7EnlhVzrlgs/TKzwpDKu9ZNNJ6KRTjmEhPb3gB1y2tOa7K5Ih/C7YjtK3YGGwRVmHEr1uvVShXjHVVKEA+eAJSU+8xLfC57rN8LQG6iedSBjJGcAw2CdgjAf4w9QzbLdjCMi1NGMJiFomCWKvMz1mTnMnxxli+x41Qi7UUlMyTby+EKZ+uYIKMa2IVhzu4tPCLh1lMhprq2ACXGzHRogAmhJZozDZhh6PGIhAKiVJkPJaI39dcFmwRh22PwRYCtuxWbJwyHDKslMu4tVXEZYtEWpicztiw5rFgG5t06f7fObQfW9zRdROR48JQ0cCur4AEJIVMvkr3Et+fdT8Xj33mCWS6pIRf6OYvNtALV/RbPT14vXUHRXhRyEottMKw/pIOnTEs2AEshHwjKWLXLAK2lEjPGGe5LNh47/y4lvkVfow4XhdLgQu4iGMsK/vBdrot6sUIjvw7y3vTcMtTs+Cxt750fgbjRaUNrRxP62ahkTP6Dmvc4sDnTKFkCwLZ5RFJSEJjv5unSrR0AVvE4urH49Z7Www2/8X6Ra9nRIq/RsHsrU+Xw9zFpksyClCYT0L/jCk0+VLkiHlaeo5R+MJnHEMiBGj9xHN7WbHl1+0hO5gUsRQB2zEeChSwTfdPewy2iwWb9z8mYUt98LjPGGwlpwXbSEDFBeyw5L1hnNeR1yCPRTjXfCq8f3ifYj9in8gWXpZbQhorjjbn8Q6KtHZYPTSUdOX2GHzOlpW7rvgdH77PK3JK6NeMSkGBrIxynDufBdvn/J4Tm9eCbMEuKMkZV5SEMd7Zba2zWLDdkpxlILt8ru4pZR8PRRp6RKx6ZMz6ltflkEOc6kQf2MM4IhvuBLEtD4D4Nod4noM9f8L7J8h8Anks2KERHINNAvZIgG8wuoesA9yYvKWNipEpM9pkuNEZmbHFA+IiYAt3Zzt+YitZEi5Jax7qGG+dvMVmzSJgR53xMpW2YksW7PZmLmC7WrBtLuKSiz2+g/G3XohM4l4x2G4CtixQC3dmIVRhvDFaxVGQWmPPRC5ZnbJSegYhpIt4dwSvCceMHIMtaOI1lo34IV8W7AoqR/iCkFScFuyuDl1Qwp76YvmAIw7K6EOJovIASJ9Fyxr2jywsYKy0/mY6QNc6vU9lF3E5kR47L3MRj+Vutx8B27f7rjMDdkG4xH0V4/osFBnCy2fOEmcyKjY3SufTRK1wvF8u9yy6/tYQ2+5wCE3eDz5Mb2wdS+VIcsbnUMPjhG+Q5b+LcbF2A13xZZdl/RcXAdvuau8xRxtl1zCpkKbBXS/Mc3yme4C74xvn0ZhHi+/xLwkraK223xdmwWax1lISKS8XcW7BxpAYY34udgyzxmVKs2CLOGHDgi3iIl1czEeZSagynzznPJibNxm6k/txEU/oLuIhni/BeuKIZwUBN7yUUHpCPMXhQouKJVScWNZIw0XczYJtTapnp3XzXZ3KswolOjPyhLiUP7UoxgN2EbfnVZBDKOzPiyUZmEPAtlmwA1Aoij7Mcs+z0WjBlsp0+T6OFNbj5lJtzY7ufBbUniWQePIKGLr3Isc8XsycikkBhQU7PG4j9zxJHKM/bF4mzQd8B5oP/B7LQZIToSwKMtFZ3hjsqPVzIwgSsEcAYrL2jMGWB7+UFTeZsS1idhdxSbtmS8JsYLi8CFwWM9zYyJMam6yl2DGhAbO4rglhUF60K5koiy3yPJaXx9AiMbt7nZTkLGRbbPD+xeORnMkmhIu4LGDj72m+wfMUsHl7Vvfqi0k7F7jRuj1hjL4pXGGLJZYnyIwkYM9Y0A1fLO83Mm6yS4AQqzmKypFIOGRsNEWbQ3IIgVJjZbr4WBdjVhaw5UzeH8xzxvIKh3+L5ayIBUSu44wKLOwfWXQXGyt7veeisFnwhDIIsY+9fC7ibJPjQ8D2LeTaM1HzpDqy5SQnbq7IxQiOYkPLhTB5426Jw5bmGIULmRgX7vYM47zVvM+3ILnzt2BIa7ZaJIK0YAuXR74ZlC1N/3zoUzjvH29Z8wYYLsLFb3iEFSi+x8mmm6q04cYEjlgOMqv5tWBzF+NwDC7619sOF2ykp194V5njMzvvLSNRniciyac0p2F8rmzpt4TN2CtWuAgNIieGSJbGchcUkjTILvjanvO8bpd2pCzieok27yziqBBhidI8cFN24XOf20VcV9IbbtRuMbcOAXs4t5DomRAPr01zuNDiuJfjVFEYyeUiLpR7boqR2MY7mx4ZbD/CLaWVyiRum49kLOFdQVuwufD50cIBuPjfU2HpmiHP+O/cMdhWAbvkfA+Isd/iLuJFWrCFkiSM7tTFWLBlHEnOihCwuUceGpYwkaKMPWmuqHbiUGj4TOpZjkziQvExdfYauOnxGU6vonAZlMp1AgnYIwH+MK0ZtFuww04NtKTdS6WtsWuGFlgIiBCCUe18U+cxf3omY5FwuDHiZCFvDFws2GYMtmzBrmQt5YzFE0BYjO0u4nqSM7AlOTM9A7wyiOdKciZrlcUGz46ohW38LVktRUKyvz/4CVxz/0fs58HX5ls2OrKAjcxa2G1ZjFCJLuKvUbgWigB2naEQcxM3Fz8/WcRzCxwlJzaTjyUs2LxZsou4LGy7IfrQstkoIsmZaANq4FFZgUKvfIlGFvEALdiGgG2L95Zh4yzHYh1dd6v8WvICnkW3Gs63PT0bLrj+LZjyqZnYygs3AaQoC7btHsleCxYBW1IECSuuvfyVHTnxkiHTlSkGG6s6CM8jdhpNd51Fl2uDfGWa/GCsE1ItZmkunjprFTz65hfgSPXgNS74OBjOhKBbCNKcrTbUvaBufGyGrmi0JZL0zPCeo4oGKnWfmbrQffPqtamWXMBFTgyh4HRTCOTEHo9s3/B6WLA/X9rnnj9DtBknEZyH8gjooVFmHW8Hbu682N8577OmPxsuz7N5UtszJbxXPDwGPJVQ0jwrK8Jw3FtcxHH/kkuZlKut0mtMcRKtcKIzl7AGgSVBqUOBUloCSjEOX5+5Flb1JFg5O0HSnmjHbhSRW2Eb3+gpkV0yo6S2iTEtQrtGd8QLCkNzlFZkArZzrVszkIYHXp2v70vzCNgiOZlBEUpLLOWHRMZv4ogJF9Z6EUbIMuOzD9va7dd7xhCwg3QR1+/9l6uG2Xhx5P0IUQw20aAw4YYvVA4BW5q8jU2pePCizYYlRAjiRikOScAe3cZdibL+XMTdauVhZmYLaAWWF2MjBjvufA0XGKFdrqQLilz6CCQLtl1gdskiLtyZ8PVc8dfWJGem9LVkta5Vxu9iKS83hMAvkIUq2do844tu9vPsO4vMzb+La9qyNcOWyR/b7uYeLsCkb6pXGTjJ3TI8YXP9hXwLZJDKEz5O0nyh7myNwVf33ggO2nl9WH98m2viOLsFW7awGmMaLTg+BSfDbZUvPl4u4oFomm3WkFwCdiaHJa7luN9AZOJkiG6yG8R3PR5ajr7Q8r5F+16oBZs/2yiovDNzJZMTUNDOq1gJOAbbsGC76Z5tLrKmgG3GWrshlw5Ki+c4QI8NY+6Oxi2Zt2WapNAV8RyXYlUyFbEtxsbv9U9Wmu+L0oT2Db/HBtTNJRbnvpsvOghGtZsC3/wlfY5SeflcjUXfpqQ8ISik4jiTMQRXj4SbsiAmBGohYON8YA/j8QTbb3/G7Io0l3rEL7y3GP5853T433N6xmDPDTYKEGK+dCsrKIRGz+t0SXKW8FG/G63YLh4pBl4upPaa9gKvuVTOXyGNl8vvmg4DQ9KzllHN51jDJGi2JIU52upI2lXhUl1aDgs2eqWJseaWJT5vcsLBtd4CKX+uDQWvBFNYyOSwYCPNR/zU+v1nroIgc6ewyinFZKjm1xiONbsmOfv3U3PhuXcXwfn/fAt6ErnXH3Wox/ZC4fM6y6aPe8ct9nNY1IWHhsgNYyiQLOMzlLP+teu4LoOLuHjW0PNvpciQDBSDTTQykutZUrFtTCAkxckKC7aZ5EII2OLBMSZlSUAUFmyXZLWMsOwizpIsuGhkbe6grD6hRcAWWcRdkpxVqVSXkXWY3UPdAsmaaN+cuMVg84UeN5+5Mohbk5yZC8hDaG3GWFqp5rQdUQvb7W/hLo5sPmmUkVlcNsraF1jmYirHnwJamvSFatwo5wYJhVSzhIZzU/3Z+EMgetRF0HLYT4wj5tRCB2DJNY9llscKh0Jsk3zSgZvBGUduyTaeF397F8+vij60uDDLi6JPJY94zoSngJeLeDEZsR1kreXk5BhsO5ffOR1mfOFSqzcSh+jEyexXfDabdj0eohtsb7yN5UXavnWN8bfvEko2K9KCZbzMD0fOiF1WAZu3Q9x3e+ybPakZonabLuK5kC2O6DrNjhVomS4zyZkjERHHYlXIkfjJL0aujlgzzF/aB+f+/U1YtMbsK/Hsy3HP7Ht5LNiywIQJGVHI3nULsyQnWpXsCqC8sbz82EnVPDbWCRdhNli+UO4nLwu2ELLk+Vgo4/BYf7j9PYjvdiLkBdcIe0Z6u4u4rfwbct/Ln7H/p891hq4wJZ/I1ovX6yOG29NS71YHO58SQ8xpOazCntZ0r3Z4xWBL49ZSySStMI8NmaSchds+3nO11X4PjBj3VNWTnD3yxudw9tWvw/PTFrlYsHMLhImn/wZD91zI6pDnWpdSLgK23YItj035d0Fs410hvsfXITAMRVnIUBSHi8hQLfqQJTlz6fu+hDnuXv1EftacimdtqNv6d4FzKn5exF9HJmzmePbQQo9n7RL7bDcXcZ4Y0gt8Jj6ctxrW9iUN75Qgx7G4ZjF33/H8XPjNze/C3EVc+SCe+yDXvDqBXMQbHNlKIccrCURmYSMGTnL9Y8nH5O/1LgOle7ElyZnISp3ImBN7qG0Mq1kb3XQPqysabgJcJoJiXMTxWHO+7NG1+eIBDrK2Xz4sNRnN0kcYU21Jzu3mIi6yiGth3xZsWcAWwt2Ru+vlsPxYsGVhXI7B3XhiB2yyrl6aKiWVJkrxzejYTn1CZhpJmwXbKBXmIujj/TBcxF0Wnamz18JTC5qssVo53O+sG9ASJ2ojAy1m7446FifMTuqFyCJujYOTrt/nGFTTwlKg90W7RxZxllyoRPd4MQekuIBtt2CfdOCmlr8xs7+DfJ6H0TjbqBq1n31bsIXHjH7Pl3GvCMHCFQNMI85yAPhNclZCmS6xoe3XWiCyyW4QQnd4sSmxuQMaCZ3sYTA25LFihIiWwUV8zrJBuPCGKUboyMXfMhVFPYPShkrMoxhXW+ymJ22uE3+750OHUkII1g4LtleZLq5AM8a9lOBx1y3Hw2br63OUW2y+EcvrBRekElnn+jd50ijYaEKHJcmZZ0Z76XVhwW6WvF2Wrh6CyI7HQMtXfpGzOUygs993mwLR2ABzF3zDNZTNQSFLO2YsWMsThUrWKSOLeI4tnpdg67JG+xGwWfx3Tgt2pKB2eApNhsVMX3vthKR105Ibxl6z2Db35GpTqIIu4uy6uYdLBsKw9UZdsO/2E+HMo7Y0PNgwa/r9r2BYV6SgOU5ZNpv9nl062/0z/J64WrDtMdjt4yC+2wkQ3XR3lsHaDdcyWCW6Iot5hpUj5f1cyDwm9rjXPTIL3pjZ7TyNNI/J85FbCSxt0G7BLlDANtaUEPPksCt20LiFe0ShFDcs2PLnXDxOZO5+cR5c98inLLfFUCZUPgu2dN9QqH/rk+XVL6VbZUjAbnT4g6TxGrh2hIuqIQQZlgkpi7hc7P6hSy1aTjcLNlq22k6+DFoOO8emaUMB2znkuges2jQ9yZkU0+tSpgtf+9u9H8LrHy0zhMEgEzf4j9k0LZAIWqTl7Op4HUaZLpsFGwXQfDHYYpMpNnQobIlyNTtvMc63gC0nQ5Mt2BibLWpYy5sRocHGrONGyROhjOF6cpEkqMVFSaAL2N5ZxHHjPXNBt96nQguda/Mib0BLtOqKsc6Si7lYc3N5BggXcYulUNo4+tWkCwE7ye8zcxGXJGzTVZbHVJaCQ8C2Xt9X997YEstv30jp5KnHKtxNCyzJYbdg2+NL0U38+kc+hX88+LGzrBz7YrgsLuJ4vaEDzoL2b/wNohvrgqpXFuV8Mdjy/TSUWAF624h7ePvznxtx/DgPbbHBaPjJCdsbZfkEljm52LqtWLKMxzEK5Z9cZzrJFUd2C7bnWM5axygS5kMOFWAbT9AFbKNUV644SI/7k3KxBm6+/iimZENEBmo3F2mHi7gRg209JrMS5Us4hO97uSsbJ7Bmcxb5LsTmNZPVxw/Gil7zwMdM0WzUa2Y127mlK5frqJel3i2vQZ57bMzfRlUAF6HV04LdVGAMtq26iQ1U+Io5XJ5OtEIs2NV0EbeUcIzANht3wfe/ug3svtUE5yycS4GSU0niobQVezuI5XURx+eyaZevMS80o5KAHZ/Jt/wg1z7H+Q3zvISN/CeFuIjr17h6SGPJ3OzIXhFpaU4T4TBBxmAbfdLUqntt2hQSeK24dxOeMqLOuzxH5UvE9uoHZsWH+SsSwY9jW31ywcyF3bpxgOpgE42KsAyoLuUILJsiXgtbJIzBmp6mi7i8MGp6PVh82LU4jOIx2ENpacKWM4jKGRmZi7hzQVi+ZshipQt1epTpkjc4PPkDkoK4r2Q3gcI3hEIQMizYUnIv1iamwHC34qg+XMRFkjNRrxU366ImtvAecKOjRU7SYi0FJguV6Do+oavFYcEW4QTyOUT2TrsF2y2TOQrxRpZ5l021EZ/NLpKXxvJrwS7VU0EsCJq7gJ3L3SrMreeygM0+b3hR+HSN5mM1oUgCtsWCLY2LEhVHQhkkXMTdrpkpUDiKWyxpvgzJ4tnkG6pis4gLK6KwWArFEuZpWLxqsOxJzuQYYHQjZufgMaJeArajUoKNVEaqACB+DchdTq9m4IzXbI7r46qLJ+2TBexiQhpyuYgLZAu2IWC7zH1uHhni/stWZvk57GzTj+eaXT6fBVsxk5xhyE2zpBDEEBlhHcJn4MX3FkM25CEUyC7ivCPt+RpW9iTyWu1cLdi2Z1wO1UJEvguBUDS8PF3PQMziyeUMwUYMtn4/n333S6aoWrJ6EB57cwGs6U14b8xdlFZasjAX8U8W9sOnC6yhJp4Z0b2EME9vB2s9ZDsbTugwPAuYEthjbjaUGm6x6PbXYhW0YEvKZHS7FeMTFQdYmkrAnu0CynRZPD1cBCwmwIr8JHlcxPEZ9pNzIFALtgjj0fSyloiRg6aAnBZi7kppMcODTEZW3Mj3gT0vea6n0DxAQsA28pfY9ulo3ML5qoUrjFwt2AUoMYzrCdIYJQwW0vOIU3fvYJpZzY3XKYs40XBwwUSRrI8yhtAkYrB5yRMUsIWLuL1UgMqFA9xECQFsMCUJyHLSElmDHo7yys/gyN6KMYKYFAPdjVArKi8cq/rSLBZTtrzMXmy6jKZDfNHJV64lSIxNrVVoYcm9pAkaBUlnFnFe5oy7//iJwRaChthYoeUkZq+57WHBbolb3aBlAQst2OJvWbBKcKUFLu5Yhku+Vl8Cdh4XcXwPlQYPvDIfhrP8+zkt2KbQVLKnguRi6JXwCy1byAQeny4Qd1E8G0ZcVIGlugwLtioL2JplkTcypJaqUJAEMBFz7lcg9Ctgi826saHyoWiQEzCGbAL2TpuPY8nnZOwb9mBjsJ0xj3e+MFdvG88e7WXFC7d3sb67+YmZcNvTsxwCpCWrt5F0KSAXcdyM82PhhlEghEgxD8iJ1iy5FIr1BuHPapbPE/rvbgK2iwDgdu3CjZvHV9qHnCif5+4i7i8GG909cT6TKx5stt4oi8fKvS9/BjMXeyhSZBdxWxZxAQulyZdwyEWgk+c0Nn5s7ssrJAu2WAfmLe51bx9+1yjTFWHHe/DVz1moxaW3TYMnpiyEZ99d5O0iXqQFG8eEuI535/XAtQ98zAT6XMfV2+3RDi+rZI5EXGLObuWeBUxxKIVE+LVgY8mh25+a6WhjRWKwxZ6NqXPDlpAuTMQpwDKZCdmwobfU+7jScyI8UCxIQrdbDLYQ7tCTCCuP/Prf70CfrLgrtwWb7+/QsCPW7VIs2HiNYp5iNLXBc7A/JDTzOdcsiXWjjjJaDgr1COKKq1Bzm5S013xOWKWZuGnBfnf2SvhyxYC1oo5HskK36gbimSlHmS7ZECeqsXT3p2BFLx8jJGATDYeRPMZ9MRKZVY2kXUJIjbeYWcRtGaXV5LApYHMX8aGU+SBbSrdIJVW0cAQS0uYdBTcR44tJtDApBrobMQFdsnR/vnwQLr5pqmVSWbDCXLgHuYBWSQu2aRXUr09omTFbr1wfHAVJZxZxEYPtP4u40BaLDWYn9xzwQi7T1WxzY5SFStSMGtpg1VwshxTT5V1s1jPSdTEXca7R9hawvbOI433BGpvPTVsEvSkuSHKh0xV5QShR4JQtIF4C9oWn7gR/+sGeLP7NLQY7yd3lXv9oKZz79zcM4UIrUMBOQZQ9B3iPrVulkPnclWrBFsIjs4Y4Y87tuGaidrGUiHvgZsEWHjE5ka/L5iKO/bLNxtbs3JjUR24bCq5a0C7i0ly3dPWgLuzw2Lvswg+c38O5LtbCrN3vzFrJ4tdFln9BMiMlZSqirEwuhFUdPWVwLAmEUqyNb84xCZe4d3oG6cJLy1meH97+p6ebmbjdXcRd+sflnGYMtuTxJAkLQsBeayvhxb7rsw429i0qFOUwBDwuWsFkS/TSbjmBYSxnDDYqL+1ltPIKFW5ZuuVrwLHIBWTh0mm3YOM68Je7bePRzYIdjri61eN4LciC7SvJGQrYPHkj38i/PWOFjxjswlzEhbA/qOrtl5PgYRWIY/beyFiPsaSVcJNX1nxpPU6OePEFK4bg4VfnQ5q74pteVpVwEfcuq4jX9qtv7mz8/cpH+UsZuvWh21or7geu21avRXO+R8XyL26cAjMX9sDa/qQeB56LAC3Yov3DKGBzxaGxvywkBjvLFTQQtSgS4tseBm8m9ISH3zh0ssOogOPXXt/bfK+4+VSMZYvgLs0PKGCjsqiVz+N9g2mWTNFi6c4Rg21Zo/k1M4JUFImcNvxe/frbuxgeVIjpyUh1sIkGw17uwS7QpYWrtRCCuBuRFmsxhLp43JbZkG8GksxF3GnBtpTdkLT5PUMKrO03F/t1ulpg/fH6xLJsjTn54waoZzBjE1Kt7oOyi3h/hsfwVtGC3eHhIq5roYWAza0TRhbx/HWwhYCNwgTWgcWYVGSUzbpnR46ztXtkik03EpYW8KgkFA3yumto3RECtHAx1gkZ1gm7AM/uR2vckUVcXszkOHVhecvpIl4WC7a3gI3PyXrj2gwXfYFQkgjl0/+e062cxh6WJ2IpxE2NJWvBeDbbWBDCXtFWRoE0B+Qq0SVI+azpK2+ujM26iLfycR+MfmQu9lFLzWhsJ25ydp48Ds49cXs2DtHTRVjy0Hvi/Ovfgpc/WhFokjO8R3ttO4F5jqACiQkiLrF3gnDraNZ3zKrA+eizNTks2HzcB1TXXWw6E4BCivlMidwJ6OkikmKJOs96w0uohS09p3OWmnOuLEwnIYcF222jJUJuJAH75IPM5HuYiBGvA+ccVHzkyu7uXQfbVCbaEXHYrHnS5lVOYCcLpKJP7XPfzC+6eViQN26CreUapPntbw/OYpZqMe5FXzpqzcrHzaYNBQ66Za+0Wb/NGtHuAvbUWWbm5HDXegUlORNtF7GrC1DhUKwFG7NSuAhOQqk0pDWxqeMHx2wD55+yI/z7FwfCZd/fk419YUHD5H5CiEm+dIOtvXpb3Uoxief09Q+X6W0U4QEVcRG3lVWU1nqca+Qym/Jeg3/b+7hyH6IyxD4H8WsTlS3sYGgaJpZF11/BAq/kk6K9QVqwDQG7ydhvRQoUsJkCXDH3I4bAyazVMSMPA8a9s3Nl5Wo1Ee+a7SJGXylWwG5z3TOjcIrKIntemLVDiq97LPLklKX8p4Cv9TjXn37kljB50miL5TylBqtUricoyVmjI8WfIeP4xksgtKSmBVvXmKc07vKJm7RW63c0i4t4k1VQlyzYiqrCjIXmAotx2vKCMKGrFdYb2+bIHnz/K5/BsGQRFy7qawazls3cOqNb2IZjmLvZ5rSAlnERFBZIpMnuIm6kxTK+aUw0rA52HgFbZOjGWtXvz1llxIVOWie3q5LsPm6PlQqHQ7DlBqNZDNdm648y3dtD5qZNbOBQUBbXJupGO9roYsFGId50cfaO60KSYpHzm+SsZJdps0yXvHlxA13+cwnYxiGNOCO/FmzxnJmb/q/ttwlssE47HLXHhlZho9QSZZJFxKtEF1pFxnBvEmbptCf5cXE9nDZ7lfmH4SJegOBmWJBwo8yFQK7YwXuC1sWfnrQD7LLFeKaMQ8T4/2xJLxNy1vZnArVg45hApeH64/Tna9HKQWvIi41Q+xjmFozKL4FdAExKVnej5GEJJbK8hA3k7OO3g1MO2gxOPEAXTvG+Gkm8JMutSJJTVLy68BSKxKGP95ebizhWKHATsN02WrIb9/jRzXDtufvCDpuNs2T2335T3aPhxfcXW787bC3t5id2U7aKI13t7m6h4Y5xjk00KndEPoAN19EzkAtQidE7nGezH8ldZ9q0AutryZsfL2Ox3cgm6+rncy3HJrsxSzHYdvdy1s5ExlOwnTZ3Dby84bnQcsyvILLuVjnzD1iuAedvSZmBfLFiwKzZ7OU6nytJk4vrryFoqU2sP1EZusNmYy1rXldHs+FGbfmuZLkTv0+bZ8sELYVy3Pn8XFjVM2zsaSppwbaHnwlkjzFXDxEPrAYIKQyBo/LnaBis+72YlL/FiAHmrOpJWDLcOwhQwBbGn4Qqu4gXFnJjePxwA5HsIo5GG6FzGM9Lj4p9s1BWebmIG+EZhVqwhYs4F7D/9dgMGJCMVTh/4pptz7ezrDfj6/lJ2vrLjMEOsEyXYXCLGWFdG04w75MRxkACNtFoCGtOkruCi42qwIg5NGKwzQRmRgyuzc1H1O1Lh+JMAEFrjxy7KBajm5+YBTc/M9e97jaLlWqBdXkGa0zW8uoHesKWZWuGLYK4+I7sHYgTD2a/Hje6mU2UeoMqaMG2uN2adQidFmzTRZyhaaAKjZ8PF3GxCVy0asBwgUNhSLgw+WoqT4omc9E3d4a/nrU3ay/7iYahWRKwP5q/xojhFAljvARs2R3IeK0p4nARlxczfFcgEo24xoW5WCVL1b7K2Ujl+DY3hKttzizisqXOd5IzM45QbBZQiPjD9/aAI/fYgL8XjLZZVgZ5Xe+WG3Yxt3h23ozijOtycSuXs2MbG4wCXI+NRE7SJky478peFshYrhhkWZqZ5YIn/3OrTVqM0Ci5EWN/4LwikoPlsmCjhdNel9i+CU3zsYJWWDEXZIXraYkIYWNI0ftrvbGtcPReG1lyB4h7KawzDCHsFCHoq4NrjWvH5HMCeQ1oam2D4/bbxCIAGLk83M4pQm4gAp2tcRjlUipvk/X0xHdvfGx1i1WHrbHI+fr2rK9tC+NGNcN5J+1gfEa+X7LgGWoZJb2ut2nu4l6WP2LdsW0w3raeIpLOoQAL9qCrdwsyZcYKJqSiNwLO/24bZ7l9TMiVYrCFUkqGKVA9Nua4fs1cDRBdb2tznPC1NbrFvhDb+mBWitM8sVkFwlSU8LCirMpCaO55cZ6nBXvWkhzCu0vyKoslUwqFkhHJ/RwC9pAkTBvjwrl+yXlnVvUmTDd27l5cTsQ9FM+TXcCW9wwOC3aOedfuhWD3GFP79XCPVdkOh5JfnBOT49mRvXccwrZ971iC546W5t46kot4mFuwQ34F7EG9LNdwuJ3tT+S8Fem03nZ8zvB6UbFgMQrkcBE3nmk/nluqCkrvMnYvjLm0dRRbd9+bs8qo842IGHwxngUzF5n3XKyfS1YNspJ9MmKfgolsN5rYYVjsg7JgszreXDHTo7YZz+Nph+mu9shwmvcNCdhEw8EfpOGs/tBOtCVtMqwOthjsIZ7dGAWssC3GIzSsT1LZkG55wg2cxVLBJxtMSiSXadEFbJsFe5zpGnPnC/Oguz/J4kasVmD9O30JyaoNugUbj5EQAlols4hLFi95AWQCtrQ44wbTLmCLTNR+kpwJzWWax65P7GplwpCcqCdvU12yfaLlXz4GLlhNkoAtkC3YyQIs2GiZN13EnQmkIiGzTULwzl2mK8As4kZeAm8XcYGwqNoFbLSeooeGcUityBhs7iLuZjGQa2EHY8HOfb1xbgHCRTm8yW6FZRHni7ywUvmx0Kr9ugU81DGOuVVjkjAhYNvLzI3jFgUhLIh4YnmeCKpMF94jEVvLYthc6p8Kwq1djrJmopSK3YJ9/P6mwKn4DCXIh9g0D3ABW8TqyYg+x7KGWOKpqGzv8jkHuEKhfazhKr3hOu2WNUCJNEFTNGx9TfzuttGSYrC9hKb1pbXC0p7h3twbdyG8ozKrNQZ7bD0B/nb2PrApF9jZpUjjDV1FBbjxNeDroIiHnrwBr/luYyjfLY3kcRHniid5c49Wy+99ZWszFtMtm7pUpksIWsMZDZ6e+qWzjSgIebiIY2JOURLPngUaE/41738mxCbvY74mhA4pi7jcdly7XsJs5x4C9rTFWmEWbMlrw2s+8xKwVUnAlkMHHKeVxu3Tb38JS7r5/ihT/lKgGp8XUWDB/YF9rZfroDsEbBR4PJ4Fu4CdeOE66/t9uoC9MmsVIjGMTZTiXN3rXKNX9CSYAuV7f3kFzv37m8zjQuDwWihhLRNZ0DEG23QR58f3KWCrg7rhoB86HP2c4vHKYkzhNVuUL7lisIWLuI/1PzPjeRh+4BLIzHoF1B69hFakaxJL5GvPeYTrBbbHLmAvXC31A5+vLv3PNFayDxUes7/sgTc/WWasTWgkwesJOou4rrDS2LyNz6NYt7G9F31jJ2uFIRKwiUZDbKBErWhZU48beSMmg08MQsAeMATsuCPGIyRc2MJNhoZTLpkhPo/WP7uLoDz1o0sqWiUO3WWS8RpmHcQNvpsFu1cSsHETgNZ41MwlebKTaiQ5E1YRAVqC5bYnsxhHJgvYps2NlenKkQnc7sbo9nexFmw7qCVtDjkXB5wwhbDRHxnty41aCNjiSkU8rnxfZAu2EZudw8XfkmW3lEU6mwa1V7eArVY687qI9w2nPZOc9Q6ki7Zgyy7idrdt4epoxmAHlOQsTwy2UPagde7nb68L9w3t5Zn4SJR9WpzVLVnGhruALOJqzxIjzvOfD3/CkoQhuKHssI3zsaN0IXdNHw9P4Qn2XF0kSyjThZub9hZJqZRWjCzibuCGS7jvelmwhRCKz0SU960auIt43LOG+wBXWuC+WwiHhWR7t6NyATvbPMbor0u/sztEJW8PNdIM8XjEsi4Ym1m3JGdG2cOoQ7kikJWxFvD5cFHOoaCRmv4YKEtn5vXgEKFK7HCSQjLcYgrhrE6tNPbHSrGwMm6yr4xbnW1ZwBauy3LOiqP22AB23XIdwz1YbMbNtknHZTHY+jV8OF9XhjvOhx7CHpVFcN5mXmQoZNsFbLunCsKFDosF28Uq7ObVjryfNmPtHbiFE0jJroSgZUcIJKiwz2fBRk+hXtXal/JahR4LL3+6Jr8SOCAULnQtV0bn9bByVTB6CDLq2kXWv1d9bvGcEArPNYo55sX+wWvcIVM+Xa4rUDj/fXYOLFrJx7Oj3nsqoCRn+nwX43sT/xZs3cLbrTrnkrRNwEahVHYRBz8u4j7m09Q79+v/T7kT1F5dGREesz5zt0fkOROfRWyPvWKMpYxnNG5RqmAStCvv/RD++8wcmLFAf/5RuEZPw6CziAsLfI+Ka2TIohzt4l5nIgHySIzBDrBIHVEp0vPfhRVfTINMJmtomr3QBtYYm2sUzuT4HYz3zPbzzfyMFyG78EMjzqU/bVqwcYN4Xf8R8NPOFyzHRisFgrF2q9ZKGvhIVN/cZBSHC6csbOIDj9rYbx2xBSxc2Q+fL+1nmxcmYMdDLjHYCkCrZMHuamFJHJaJjLXLZsHwc3+HSiCsOPZM1LiJli3WH83vAQ1MwTTx4g2WRZwlm8kBukvK5Kp97YVhtcoBq6/pDEWzWLD7QqPg1sGDYFA1LXpH7L6Ba1ZqjEXXhLWOb3DlTUvUImDr9y/z+bugdJsLtds4ZsfpXlp8P+MGSVWgX22BtWp7Xgu2SEL3WnJrOKh5Njw+vIve5rQCX4pNhKR1Tr3/KKRnvpzzmBgDr67+Qv+8FoOxNoECQy5C0iKa/uAJyMx5A4pFXatbsPB4o6RkTnbkWulpiMHU1BbwjbZ3XD+LpX6Qa/uPhgktGfjTuI34xenHz8x+BbJLZuRuV/diQ3svg+67spVGFrAxc60sxMoKvFDHePZcKivnFzw+tMEeyYIdNevoprIQiltdJi2EI7CKx7get+/G7L5gfO7lt0+DOQu7WSiHsGDjcyRcGsMrZgcyVwllEcajosIUPWjsCLd6YdFjgipXgqbeewjSn3YWdk7eb8mmLtPLKRyCjmZZwEYLthQmIjaOIYDkG7db6mcjyqKPjM/Y5zwBKocx6d2HtiRySOLF6xwWWa1vBah9ZhI8dI/0UqhhYrsnpnzBLHQh2Q3Y1k5ZwBaJ5OwYLpFeuFiO1Z5lxnjQkjwEi2/PMK7xgJ308kymJdEq6OAUr/LjZua/YygDZFfn3bdaB+Yu6jHc+lF4cLvTzHU2ozAL2G52BZa4H5LSfd4qBSbHeJZ9W84Xmf7ePrCLNdp624Ha7e2NlXjlJkfZM3X1AjMG26M/MRFYSCT2k/Rj6Y+ehszn0yzHQU+hq/qOgV3GDMCJ2nP8HljnH6HsQKG03HsMdc1CU8DuyCNg20qoIokX/umaCR7nRTvDz13LQvpQ8FX5+8uU0cxNWlQJwUzqQrG/mis499h6HTafYbjGgmXORGdX3PUB/OvCAx1J6pIv31RkXLZmKE6xjFY7VyTG4yJXkOarX8Q8sybjVJqmMyLBpn5MTJTX2yONPU2F8Dqb5rRgK8vnFDY+UCCPNTMvrpWzlzgqWYgYbBlcGi3VFqJxo6/svMzDLkU1mCT/nrpqQSDjWEuY7uG4ZoucQXJeixRvGu4D850T95LRyftAbNPdoREgAbsOGX77XiOWxC+oYRozqsmi6UIBu69Xn2hUFGyEcBNrhu6UacFWlBTMz06E/s5NobN/gbHg/D975wEmSVW9/TM555mdnc05B5aFhSUvOS5ZBYS/IqKIihg+UVQUxSyIqKACCiI5qeScBHZh8y6bc5ycc/qe93ad6uqeDlXVVZ3m/J5nnpnpnumurlt17z3nvOec7jTP/x47t4o+2ODdyKTmlytZmCdyijyXdMpK6aOa/kLa2VdBkzJqqbq/0MfYL9aKpUH6huhgiyHvsWUwV+VgNnR4J8XmgRwaUZKrNo/1AwV6bjhPoNGiaSDPp2I3Nrgw3srTPJ7hAx3pyvjqGMig3NRe6t+7VpdFw5sYrsjZkIh1GKWukSNmjFCF0YwKgWBcdupU+uCfU2hx9jb6qNu7iGDCzDEYGxt6x+sGO4py4SsQ+Fwtgzm6hBPgvDB7+8v0n2Hoqr+DccTy01D0dkY8zpt6q9TJDGdgX3jCJHpv3UF6tuMIeq9rOtVq1xoMvdcMxZaalQfXu2kLhXEpxMI0zi9KgUUGxhKeM264nLhWJ4T4vMZiNsy23hE0JaOGMmacqMa/RYvocwV5tHNpS81RG3L8f2p+qW4wEL5MkFKB680TtWED2x9+jI1Fbj+CeYBJn3gE9a590fY8AF9ly0CuJhH33JdvrNyvlDEXeHoAeI43u0CPOA5WTKH92vhw73TwwTqP4fvhhkPeCDY2OGmeaz2tq8nRuapuoCBg9Br835nT9e4DcArBAXBcTrG+0bJLS+YItR1kg7g93fv50zPSlbJlbc84OiJrJ7UPZKr7Pz+1W21CA4FraXdfOR0TxGjCBg5F7+7593raub+cJqZ7De3+/Z+YnKsDvzZadX1p6Rz62YMf057eUn1nlFY5ZejraLJjrgvgTwd2lCiMF0RRhXsEm8i+re9T2th51A9HVF/3kOsB9z8K/H3x3Fm6uoTnYlZNwFnCHTj6sos9V2lLja4Uw9rJXHziJGV4on8x8oo70goDGtg8T6NDwsGyZjrH79jVd0N19R19FTQ145AeHexNydRruBipGyjUDWx2hrWOPppofQ+t6xlDczO1Gix9xZSX2k1FqZ2ecxMEzMWzglwrWH/glENKSV/eCEpv90RnlSRXixAbz3PrYA6t7Smmi7SX29dX5vc32hrV1Rq1PcaevnIqDuIQ/fHnj6SdB1to1/Khbbp4jxGIlMJKZVCz0xUOAyM9pVNoa8NIKs/L8BrYvZ78f1YYgkmjivT7IBBYD7DXTC2o8D02zdlul/ZB1NzJ0CPY6Vk5+v7Syrhs7/Jtvwlqs1BctF+fI6CuhEMKDifoErsziymtfArlXXGHUuF0PHOrvg40ZIykIlqn9jpmjyN9vKfdWvqkI5VDjIsRYp4iqtP3FXw8i2dX0gcbqunyU6fRM6+t018HtTC4+0YwdlW30oIp5XRQ21OgermT1/EhOINyPAEzJiszTaUP8t4I6pF+o4IkCFBViIEtxAyW9eQc/SkayAwimzOwcV87vfxxGs0cneXT3gP5y//umE9ZIyfRSfOwWfKQVjGRWj72LODGvqHbx19Ci0vr6UBdG937fhtRsWeSQyVqxNx+3rSUzjqiilY/t0MZJsxvm8+h2YXNtKyjUuVLYzOIxeMWQ/5xodZPu7m9W3njH28/mtb3jFXevK00nhZNLqO3VnXSWyUXq0lve/9ItelGTtq2vkp6PnspXbTId1F0mw82NdDLm3LpZJ8c7FT6R9sJNCPjoNpkrO8doyboP7SeSTPzmuhTJ0+hN1fup3f3Z6kN5VGzKkO+R2Ge7wYimCQuEF84eyYdM2ckzdZaToSitCCbnupYRGt7x9HW3pHqsYXTK9SEieJbgeR2gQwyo6Ph2Y6FtLW3kq46bTI99Oo22tg7mtI7+qk4tYMO9HuPaXn3ZCoqKaELjva8bzBU6gG87WHa8oQDa9HTL3Sozah/Ma1AUsMvnDNTGSi1A95IHyIjm/Z4iys93n4UFU4/kmaMDR8NVH138zLpobcO0JaGQjo2wJji3D7TcSTNPeY4Ks4L7YQxw1MfVNO63lI6LsT1E0iJ8NfWk+nI8ja6cOoZ9P0//k9tnPxBT96v3P42ja3Ipx9ccQ5ll44xLUFDDnNdFhxA3k0vVzM3wsYMzjsMfY5gb+2ror+0nkzXnjeLsqYeTumjZoQtehUIzDm/ef4gNQ/mqs0bR7DBm+sbaP4pX6OZJd3UM5BOewYraGpVHlF7A+3oKaH+gZ3KETaucmikG4aMUSK+PX0a3dc4QEsXVdAYrUVhpOxvGqAP3+qjkYWBxxYO0E17GlWP7iff8myot49fRNeeuDBgGyQzQDp9oAGb5y1UpM3dvekF9LuGs9W8V17giaav6R1Hf2o5Vd3vmSl9dMXcQZo9ceh8hA3m/Sv6aW/DQFCJuPGevKf1VLp4FtGSExdS/4GN6M0QsvjQX1/dqzaBwaroAzYi9nQXUc6F36PU/DJVRTxn6fcp1VDUi9sUlQZwBAHkPI8/+QaanFWvqgMjOug5jhR1X6SPP0w1MeuffDSl4Xqt36PLgpm1Oxrp8XWZtMBQYCpQQclJVYUqbQJG0G8/KqBvH/8lyk7xHN99L22nNV2eyDfAPI57HOOF6/Jg0TwaeWo5peQUKqNr9fIV9NIn3brDGrxWP5ou/tRXVYEppEOkj/PkVaZPXkTZ6Vn026c20fa+SmrJqqLPnuR5r+fW9VN/vSddwdga7vaXa2hq5ln0xU8fS6Ul+coJt6UNVdrX04Ntx9MF03po274m2thZTgUpXXRcVbtSSAXipbXNtKMhjxZp0cZAoAgqDOxPpn+RFpW3qgiov8R72Y5O2rI2Q3faDV5yG328ehvVNvjOc7v6ymn37KtpWpkz7fXCsXL/AO3/aJBGB7leMdfg6+1VU+hvDb10waIRNG7CWBpoDx54wR4N1xskxf3V2z0RYaRrINqNr7R02tVTSbRtq1oXjfUujMEQAGOKc5aDgfukpKCEci/4kZJ3hzo2s3P0L59rUApBvfNJdhbd2XImnTKhn46ZG3r/wHTmVNKaRw6oSDDm5B81XkI3LR1NBw7hut+jzz+TqorUez2Q9imaW9xGT67Ip1EHV9H3P7tQ3Uc5591Ehzato4f+V0dbPq6kez5zg64+CUd61QxKLfLd++2v8+zrn2g/ijLHH0YrdzSp+/cMzcnyhXNm0aVLpijV6r9ezaI7Ws6mmy4YRxkTFlB7bWjp/ZRRRWru2N1fTsurPkPHTw1euNMq+xt76Pm3+6m8fOi9mJqaQqs7x1Nvaxp96cwJSp0XCnWNjplNyYJEsBMMlSutbV4zZ51IA+nhDeydtTuom3aphZX7Q3J0spsy6ZOUaXT6jPk+/7O3+mP1HTJsnmhReTFj+ixqzain/f1raJxWfAOT1IjSXKpuIPrHchjmnT7GWM1AEdU0eaMbm3o9CzFLj0GxFqndV6NVxR3Mpo96Jnuey89U0XZMdm9Wl1BTb56SSiP3zxO1SaFPesfQZ2YsomiyZesG6qZqKjAs8thUNg/m0bIe38jHwf4Sau+vpM/OOI42rFlNB/oblOEWrlgZjDFUu12+sVoZ78fNQ+TVHNiYHTbF0GYmBMpYTs9U5xHg/F5/4Vyfwnicv+nzP8HeOyNNSbk+7plMF485mpazvTXojQYwcDR8MjiRPhWl8aura6fOwWXq2sECEA5jETfk/J96xFg9aoTzhF6rb68+QNuyxtO8GZ5rNhTp6alUWJJHG197gwapNaDMEZvh/V19VF0yn0ZMitxxtPbtD2iAOk31wTaC+WF910iaf6hdGdfsofZPO8Cve2raCE74EVMWm359vM73f/Wmz2OzJhgqFGtgg8cbdkSxOQcbcwKu2fqCaVSYkkrp43znMbPAibij7131M97HODeBXd0lNG/KRPrj42to3Y4ddMVp0+iUhdNpx7I9evTafxMKcJ0MGu6JjMwM5cQ6tmIOTZrhdWpGQt2mGuqn9ZQX4P0ZY+9csGJ3F6V9eomp6z8YDbt3+Dg/kBayvd8z34xMS9WK5qXQlj5PL2WciK3Z42jBjKFRYXDgf5DutgUtcmZswYTOEVv6R9AphRWUWugbJQvEun9jAzoQ0kHJxitSlNJGTtMdTukjvRVxUdgQ93soiTiupV8/f4D++p2TAs7vqKzd29dPOWPnqvdAlNw/Ur67eju1D+7WU1T8nQDghPmj6KozptPOQy20v7ad9jV00/L2qWp+UhWJu/p1OS/Gn9MH2GHa3DFAGbO9Uszd+X20vW+3mtO4iBqcw20Vc4cUWULxqoyJC2lrn0ciuj1tEmXO8NRsOLgWkbEGVbX4k12+EautPRW0viaFThpdrHrI1yzbraekbB2sotUdeep+wdqxlsbRuTMWBjzHm1etQlw55Hgirx45qNvr+unYIzypPf5s2fYJDZJHfYeI7Tf+vllPlTlq9kj6eGO1qkmB63hv2niaM0NLhXGZAyqyvNtnbxGIrMwMWt87jo4rn02TxoZ21htJnRj4vLZpSkSj1BfpY1yHhcH11OFXzPGE+VXKMH9RmxNhMOK6SQsmq7YICvMd7H/XN086M53295fSpswRdNKMOaZep0aprw4oKTgcBQfr+6kxdwK1dno+Ozvhxo7w7K0/acymvd0F1DnYrdIY0ZcehWbTSkZTbXkWbe7zKAZq86fRqAnh9+OBQLQf97D6nIPZtDFtIn3c6VEn6C3JUj3BDq4RAadP96jDKTM9k9o7fSvxq/pHhvRRpVBUY5tCO2gsnTLDOSO2+pND1E2fBHSMtqngXCqt6x1HHaOPovIgdSuSFemDnWgYCkGFah9jhBdL3Jzzp5bTZ06eQt+/cqEuKfSfKD/Z1UDbtbya6eOK9cmW27z0ajc4DAVmrNY+hMFmOxxGbzy3ZcHkFejvuDgbRw/4ZubJsKM7wkrLNmjTKkxzn1ngL/lGG7KfXXOUTzVvjgKGk4czh00tp2uXzqbPnTVzSLELJzEaCMbJEpEAAAmT0bAKZWBjMeCNSptBNRGMbq1KejRo1WTOLDMLh3GzgWvxlIVj6MozpqsvtCJi46W+2VoBFz4vgYxePucH/ZwadtHbX1k0sPme+9Mz63RVw6JZwQ3Dt9ccoIP1vtVqQ+H/+f74jeNVledAcCVxXIf+lbuNPZ4juSZwD8Ao8t9Qct4tOiOA5z/Y5SOVH1+ZH/B+4NsFBjscXij8BTiq7QR87KHG1ljEi0Ev8UhgJyorDoyf35MPnhpQ7RAMTj8IF8EuDVIhOhgwNrkLQygHEztVMMdt2NWgWt48884O1QcZ77V+Zz29teqAMpBxrrnl5efPmkEzxhXTOYvHB21fxKD409fufEdVW0Yxop8+8LFP1WX/9jpodxhsjj5ubpWaZ2+4ZB6VaWNQ3eBRnnHkGD4CrB0Xn+h1/LHigK9ptFZauaWWOjWDnFvUGYtYBcJ4DWcYHAn8+PHzRtGXls6mz57udVD4ww51Trsxuu0C9vrWYCVeqGtllqbcemv1gYBjEaxoV0+f51qZMraY/njjCXTmonFa/rH7Bc781wbj3iIQrG7AOQ+kLrIKz6O4vm+64nCaPLqQvnrRXJ/jSNH6vxuvRRh0V505Q0VYUc8AfLjBU7TS6XOC+5TnGk7lCXWtBLt2cB9wegvmHv7s7LSBAw0OZVwP9YYesZgbGGMNnR/cu8ynQKIVEMQyfgYueIb393fcegNL3vmU13fmzq8fp/982SlT1WeBYhX4F+WMFD6fgfZTFxhSCLnY5nBCItgJBlfKhuRMVYLVFoNQNGtGKSYU3LCnawvGpt2NAW/Oh17ZokcmsKnlwlr8OlyV2uid94+QmMG4IeMcS/8KvDyh+rcX442S1/h3piqvFdo6NUPNr4q4ERxfmiaL6dM8isaczHgCEzlP2MZiahgbLKC88Qi0qQoEIib4H//rKxDcdikUiB4hymA1CusPR6BKtI1mOIytj/wjm74bfmsbML0lVYDPgx67RLV0yIKxGgxIytiJFu7cISr2ToANv/FaCFWV/sUP99CrH+2lv35nialj27HfEwEDuMYCtZlipowpUjnEz3+4e0grLESKt+1vVvMQJNFW4XZsXE/BGCkEezVD2n9TsV9TMowqzw94rlj9gzZWmHs5IunEZpjh9+BCcIFALi/UF8bNFXquIhITqYHNEWzjtQUpYKDobcD2UloEhzfQwYqcDW3B1GXpPgu0WTWC+Rh/AwP78Te2KecPokCoIl3d0OFz7Ci2xr3Yj58/Sn353zd3Pb1ObYRPXThGbdDRZgzRZjb291R7rink0uL/jXCNAX8nLO4RpqrcsyZijV567ERVvflQg1ZpWXOGQ33jXzCQiw+xgY32bXws/HqI1DFPv7ODzlg0lnZXt9EfnlyrjK8xFXk+jnl2uhvPNz77HE19g8eefddT2PF/6w8qY/r4eVW6g8p4Ppju3r7wa28IA3vmeO+1/dgbW+n/XT40ih3KaIYzFZ+Ve48f1O71aMDXWriuIbweYU78x0ubVI0Cs6q1QPA+CkXEpo0tppuvPEJfn19evld3/nJ+rfGe5Ovs8KkVyrh+f/0hlc6HNfvmqxZqa5p92EAzzjOcyhOoL3zQ19EceQjq5Grz/IrNtXrxRH59zF9wHvr3kTe2KvPf28BhY+dzIqhl5FCjx/EMx0ag1C1cFxgr7GXgZDM6qk8+fLRaR39+7dG0amstLTl89BAlIubbQK9rB14LUYzRn7MXj6eXlu9RzoNIneCJSFJEsA8ePEh33HEHfe9736N//etf1NPjfq/CWMFttFKzgreO8YcXUi4kNqSVRWuXXvwMkSEutnDNuTN9PN486fdphlaGIZ9CVaGOAI4GBFtEIBM3RkTYW8Y5tDBa7XoP7dKiNTz1lYj73lI4Pt4U9WuGidUIdrQwLpjGRQILDQwvf8KNOX8+Mwa2GQ/0XU+to2/+8X8+VZHtwO21WCoZDo4OgUCSWpaKcoVrM0Aiyp85UOQRygenItg4/2wShzOwP3fWDPrllwztuQKMeaDIpBEY4OG6GzAwLphva30zg8GREUSjkEMK+FiefHu7quCNXHlEHK3CcxtXkPXPdd11sNXHKIbhhc/Im27ehHMKx9ITJtE8w0aX87OzXDCwOQoXysmJ6/Y7ly3wKYS2K0hUzwxwZnANAr7+jfNBMHULO2n9gWOVJY1mcrABjNa124dWFPeH5x84T0JtKmEg8DW4r7ZdPx6oqnB9wHkKR8nUMUV01tFDpcJIYzICZyXu33++soVe+HA3/e25T+i1j4N0SfBLuWAnrP91iHm5ojhbRcyN9SNY4XXIL4IdqMYEr+comPTsuzuGGLaBigziXL++Yp86l3A2wCBBr13/TTYMZnxmrHnG8wEHwFlHexz7MN6Rp/7o69v0VJtABFN5KGdMAGPLH6i9PrXEI733N5J4Dg6lgmAnG9dKgDMtZL91B+HjDTQWRng+QcQTh/a3/4Yv9hcKVpH4r0kwtmG4Yy9worYXMDqrjAX/5k0u051ruG5wb7NxHgnsgDPOD8Z2ilbnetwHHEiAs5Exvn6gORXn+r//26mMV3+j0ayqxj9wAGcEwNxinCeDXd983Lc/toZu/tsy+u/7u/RCaEhfYoP6rKPG62PBe2yMh5k9mVnadOXRUGdQeloqTazy1KVx8j0ThYQ3sPfs2UMXXHAB1dTU0Jw5c+jhhx+mL3/5y1GbCGMVwU7NNmdg4zzwBsy/eBBvjOBRZ+8gKszyJoajG0WaYQ55JAxwXSJuiFCwV9yfuSbzR1FkKxiYyLExGqlJXIyToNEo9Je6uwkWZ47gVBicA8iZNhZyQASbzxMmUtAVtwa293jYYGAgh8bkzZx6xBiaZYgQBIIj9MbCenYj2DBm1m6vV06U99cHlixadjiZNLCNUdVAXljeXGBxNdMSDbBSAPt9owR9iIGtObsioVozOHH/h8v5N97vgcD95p+PGeoch4Mjw5CShoumTh5VRFefPZPOOmqc+kILrMWzPYVtjFF1jipbgY1y3oT4S3NhbBkNCpaJQ6EBoxVGD8Dx3fvdJfTF8+eqyCU71+ZM8uSVuyERr9Wi0uFURJjvf/XlxXTzlQuDymPN8qbW/sXYn9o4hwdTt/AG3h+WNiMyEy4Nxnjf/v6JtSFl58bKx5yGFIoZ40uGGMrMMXOr6MdXL6LvfXZhwL8ZV2m/aJ1/ZB/tJwMpZuC4QGQKzpJAKSVw8qkigNpaGGhuMRbX43Z7RgIZdbg/Vm8L7szA5hnr2xrtb7Du+59v/3xivJ4xT9QfXieHPK6c6eyMCR3hRf65Pjf7vRerOQKpksDk0cX6uU3RPmO4a815Azv0Pe2vguM0tGBAXXTH42uGREwZ3v/5p5Rg//X1S+apugKsgDQa2Ma9JZRrv/nKMT7/D3VHpOt2a+dQ49+Ogc2fcXRFfkC1jPH1ofoJ5BR+5t2dyuHv7+y3Y2D/8al1tHVfs1qb/dNMgqX9+M/1vC5jjgrmRMS48L0dyrFllXDpGnnaZxiOEvGEN7DvvPNOWrhwIf3iF7+gK664gh544AFauXIlvfXWW5SU9GoGdpY5GQpueHiz4Z3nTbtxsWZvNk8U3NMQnnrGKBf+16tbdImNcXIPtOnGhHHaEd4WUYGKBwWKDMIDapSE8/+wl94oq8X/cVQGkfhogcV5UFtk/KUxnuI+HvKyvBFs1at0cFA3JoOdi1hhrJyMxccfzuHhvJ5wEiMUPQrmucRCgusKBgmuTWy0UA03GMbnIs3X9hrY1nuKcx0CI8UFmcpQxqav1eQGbPfBVt0495dwAr7+saEL9J5W4OJ0/mkWwQiWuoDoLKreI/cT9ygMXCPGzUigiFGowi6QnJoBx4A8P3yhwnCgDRIba1ZgRwafI1ybRjku+Ncrm31+xyYLYMMJxxrDxaTGjMin337lGPrNdcfQvMnlrkSwMZ9wNH+EiTQdOIvYIMbGyD+X3SzYEIIvnjdLj7IY1wCeS/wlrlg7AqkbeMMHGXU4/FUka8JEsffWtFq6xiZWFYSVHAcC1wDLMUNhlNMyiAob74t9mhEQyGmC9/Gfe3Ef8FqOe4prkgTaoENNccvngveZDRQ1Q8Q6nFMI+dSQkYOpY4tMva5/ezsjcPwHulbYSQNFQTgnNZwxXPAJeeb++fAgkLPkxMNGqRxsgPdgB0agns9Og/me78tQaR9W9xAICDzy+lYVKOFuAkZwrvmcoEBdOJCrz3PkeL8OCpg/zz3G11i89zlPq0C7sHPDeB1xrQxOqbCimoJDN5By0vj6xmsj0B73f1rkmWmwaGDvr22jNdvrdcXozPGlPp1Y84OkTBkVhphjUSvgd9cfS7MDFAgN5FwzUyPJLGwPBHN2FWjnczhKxBM6BxsL0TvvvEPf/e539cfKy8uVwf3mm2/SkiXm8gATMYJ9qGWAPn5jW1gpJkdZYVwHigyUF2YrOcqLH+5WfaVXaIuQsZIvL9wAUhY2dKeO8SxA/pMPjC9MXFgcjBtgTASQSXcF6Q+KPp2oxgyJy5+f8fa/ZJmc0UAwToI4DnjDn3p7x5CJ3i14UzuyNGfIZgcGCueSqxxsw+YbCxt7W3kjHi+wsRNs02Hc7JnJ3+HND4oDsYeTvZ2QnF10wiT1Om+v2a9kg4+9vs3HiWLEKL8OFUkxw/KNNbbTGriwnRGMLzZycGY99c6OsDmkMBB4Izpd28T5g2se9xRe87E3toV9zVBwMSuzBnYg4CGHM0SRRvSNSz3Vuh99fav6DoMbj/364ZVKOvzy8j1KcRAK5NCqis2pKUHHPRyBcjCXbay2LEfjehR8jnD+Ea1EdBjHCZmvsdCNcW48/YjArYQ8z2cFvCfQNivQJtfO5gbnEI4+s3Uw8LeYP3GOcG1ZrWkARyYcKJgCjPmexjWAr2tE9nW1huZkxDUD5yucA/gd6zgX1WTj3wovLdsT1KmCefitVZ4WWGNHmFsbjBFePk+hDG8jV5w6jc5YNI5uuueDoH8DJ4J/pOvf7+2kSaM8UcWevn4V0cZ9McGEocOg8NS6tnqlrOB6H8F6o8OAQh45550Gc7BxHYGPN/sap4F45t0dtEszXnAs/gTLl4bjAykHgXjirW0+6yfgIopmrhXMtRwl//Oz61Wla04D2aLNi9gzsMMomIILxhik78gn5WvVLdjZBMd9OAeCfwoBnLzB5hVjUUOkh/zioRWqrgXnD0HRAqcGxt/MWoH0g9uuPZoaW7o8r+PHRSdMVus8ZMxMJHPeis2edXuCYY/HDgYEkXCt8GfRd8WYX7TfMNdgvuR9ztRxJVTq52RH6oXRKTjW8F6YX7GH8U+p4DQyrA+rtoR3RGE+RNoJFC9s6GIe5eKe2Jfw/BBsbmaHj1mnJIP3xP4J+/hg6TpWQMHHLdq9EygH2+jk8ygQQ9srWFNQL4Rl5YlOQhvYdXV11NLSQuPH+3rKxo4dS9u2baNkpLvdc0Pubuil5/YMlXcFI9hCjY0tFgzjApqiVQtmsLnnCcTobZ8/2Sv/Nk5Kcw0RaKMDAHKnMSPyVCEko7SbOWfxBPXlLzfh1zYuemjVwiyYVq4mjQ07G9RXNBkdoLgRJkWeIDl3HBtKyJuxGdQLOoUouBMLEKFB/j0m7EAL+6yJHqdLqEJBRjhPnhckeF1btR7FcDywkQ6vKwxsdu6Y2YBEKnHCeKCHrFlwPyCKgwIigUD0FmP+3lprMrhQsmhs9O28ZjACqRKC8a1PH6akhCx5N84HRrAxwL13wfGeaqG472FgY+MeaPMeCCyoZqTrgTC2HWSQox2sanA4jHMM7gN8+SsrMDdhI4oo9CUnTrZUrJDnNdwTgTZqdkG/+1BV/f0ZVZarNkahCtqFA/L8YHmYM7Tr+ojpI/SCWSWFWUqu/dqKwHnIVmTWuM64VggMn4P1nnZPoTBrrE4aVeSTGnP3s+uHfL5QBh2c1qFABBl/hw2ncjooh0uTntPOYJNpxQmLz4foJEfEwqV7TKgqDHiPYr1HUSpcn729/fToG9v0iCqcolj/kdrB1y/PAexQw7QeaBwD3avq/6dWqOKFOzVVD9Z73FswVELl7gaqCxIIGE18bt9ZM3QuxXnGtexpYzT0GgBIh4KjBoa4vzHuFjgv4fAvkIn5Gvn+Zgj2Wc5aNM50+z6oZkIpZxC0MWL22IIB5QdUVEbjjRVw2Fea5ciZI1TKTEq/1xhGO1R0bDFiVL140iYr6cGXfJVMYNrYEnX9wHFhtrYFB2mwF0QRQePcxvvHYOlYYwxGdbCUlkBMGFkY8RoZCATw/O8Z//ve7LmBs/vmqzzF9RKdlMEETlbeuXMnnXnmmfT000/T7Nnevm6/+tWv6IMPPqBnn33W8msih6Wlxdky9k6y8flHaOTuF2n14Aw6OO0SU7nmiFzDMAjUgw5eyzdW7tMLl4EpY4p9JjEAzx8mY1z8eM/Jo4voaC3/kUFbE+QkYsNsBHlZyF+E7ApRbeQB4W9CVVuERO7dtQeVDOw0SEHzMpWBikkUC/iZR43TN+Wex3dHLT/K57wuHDMkZ237/mZa9km1MiIRzcAmFN5XjpIBeHaPDNKOCNVpCwtz1HUYLqfKSTDGMOZOPAxVKAMb0UglgMMgXO4bRxreWX1AjQ8W7MVzRlJ3z4CSRUFKyQY2JHEvL9sTVq6KtnDKAxrhlIXzi+vbipcUmz1EHaHsCGTIQFqHdjZminvhc2dmpVN2eqrPdewPnAgwgJy4BuD0OfOo8ZaMQRVJa+uh5Z9Uq+s8kGMFHmzcdyxlxPXxxop96n/NAEcZ8vntqjnYaYUr6aQFo+mNlfuppd16HhxXAg8m8YXHf/ehFhVNQ7E15Lji+j5xweghct9Q9y+ucUT3nZTLZWWmq+vISiTayvUaCGxO0a7Of9xQLAgViGdqCii8/isf7VH3Dc4ZnGjYu+MewGlLJc93/A7nw5LDx5hyFMDIw3thc7keTtUgcwJX+sZGFSkFZivnvr16v8pDnTq2WJ0nbHqx5pmdo2FsIs8Va6WxdzzWDBwHfsZcCyMRjrsDdb7OFsyXqIbPxfHMzt+vLN+ry2UxNhijYP26ed7F2or5fNu+JuVwx//wecKYvYLrtatXpRfgOsM8oK7jZXsoJztdfQbcg1y5HIqyRX77B4Bz8ebK/WozjhQCrIeono7rFko7GLBQuB03v0oVksJ+IhiFeVmqaJoZxxzWm/fXHaIejJPfdYLPjUrHAO+J9CGoVk4+YqzP+OI6xh7DbG2JSEG0FHNuuM+HscaYI78VtV+M+7hATBtXQlWlufTW6v3qM/H9gdHGkKPOBYxPpypMA9ynew61WpJxh6qRsHC6b5tIrE9bNQUEH7X38FN8fsc3rIFnLZ5AIysK1Phu39ekHDy4jgN9bqQWIPp/0mGjVb0dRKmRBog1Dtcw7i+sG2ocgtSY8GfQULNi9sRSH0k+730xD6o0qCCV5NHeD/PgqUeONV1PBmOOe9Vqx5NQ4BrC2htM9dDZ7ZlDTKnKUlJo0YwRat6N9Jjc2kPjdfm+SWoDe9euXXTGGWfQk08+SXPnztUfRz72ihUr1ONWcbJ8vRvs2bSZdv37L1R+0qdp1lGe/sqCIAiCIAiCIAhC7IkvjapFSks9XnLIxI3g96KiwHIFMx6elpbIK/e6RUHlGDrsuttiEuEUokOsIthCdJDxTW5kfJMfGePkRsY3uZHxTW7S4iSCndAGdmFhIY0ePVrlWx977LH64/j96KOD93INRziZTbyACydRjlWwjoxvciPjm9zI+CY/MsbJjYxvciPjm9z0x9hGSvg2Xeeddx499thjehQbudfr16+npUuXxvrQBEEQBEEQBEEQhGFEQkewwbXXXksfffQRnXPOOTRlyhRavXq1ats1dapvj1ZBEARBEARBEARBcJOEN7Dz8vLooYceUoZ1Y2Mj3XbbbTRqlLn2DYIgCIIgCIIgCILgFAlvYIPU1FQ6/PDDY30YgiAIgiAIgiAIwjAm4XOwBUEQBEEQBEEQBCEeEANbEARBEARBEARBEBwgZXBwcNCJF0oWcDrQCzveQR826ZGcvMj4JjcyvsmNjG/yI2Oc3Mj4JjcyvsmNW+ObmppCKSkppv5WDGxBEARBEARBEARBcACRiAuCIAiCIAiCIAiCA4iBLQiCIAiCIAiCIAgOIAa2IAiCIAiCIAiCIDiAGNiCIAiCIAiCIAiC4ABiYAuCIAiCIAiCIAiCA4iBLQiCIAiCIAiCIAgOIAa2IAiCIAiCIAiCIDiAGNiCIAiCIAiCIAiC4ABiYAuCIAiCIAiCIAiCA4iBLQiCIAiCIAiCIAgOIAa2IAiCIAiCIAiCIDiAGNiCIAiCIAiCIAiC4ABiYAuCIAiCIAiCIAiCA4iBLQiCIAiCIAiCIAgOIAa2IAiCIAiCIAiCIDiAGNiCIAiCIAiCIAiC4ABiYAuCIAiCIAiCIAiCA6Q78SLJxODgIA0MDFK8k5qakhDHKdhDxje5kfFNbmR8kx8Z4+RGxje5kfFNblJdspHwuikpKab+VgxsPzAgDQ3tFM+kp6dSSUketbR0UF/fQKwPR3AYGd/kRsY3uZHxTX5kjJMbGd/kRsY3uUl30UYqLc2jtDRzBrZIxAVBEARBEARBEATBAcTAFgRBEARBEARBEAQHEANbEARBEARBEARBEBxADGxBEARBEARBEARBcAAxsAVBEARBEARBEATBAcTAFgRBEARBEARBEAQHiPs2XQMDA/T444/T888/Tw0NDTRx4kT60pe+RHPnztWfP+uss6i3t9fn/77yla/QJZdcEqOjFgRBEARBEARBEIYbcW9g//GPf6QnnniCfvSjH9H48ePphRdeoMsuu4yefPJJmjFjBu3Zs4d27dpFTz/9NBUVFen/V1xcHNPjFoR4Zfv+Zmrv6qM5E0spNdVcPz9BEARBEARBEBLcwB4cHKR//etf9O1vf5tOO+009di0adNo+fLl9PDDD9Ott95KW7duVYb17NmzY324ghD3PPX2dnr+g93q5/KibJo5vkT9PKIkh05dOJayMtNifISCIAiCIAiCkLjEvYH91FNPUUVFhc/j5eXlVFNTo37esmULTZo0KUZHKAiJw96aNnrhQ49xDeqau+jdtQf137fta6YbLp0fo6MTBEEQBEEQhMQnrg3s1NRUGjNmjM9jzc3N9P7776s8bIAINvKwv/71r9P27dtp9OjRdM0119CiRYtidNSCEH8MDAzSPf9eT4ODRIdPq6DzjplA63bUq+c6e/ro5WV7ac32etq4q4FmTiiN6L3217XTo69vpYriHPr0kikSFRcEQRAEQRCGDXFtYAeKaCMXu7S0lC6//HLdwEaBsxtuuEFFtpGjfdVVV9F9991Hxx57rK33SU+P7+LqaWmpPt+F5MKN8V21tZYO1ndQbnY6feHcmVSQm0mTx3hrFvT1D9KrH+2lp9/dQbdMKY/ovf793g7asLNB/YwM78+fMzPi408m5P5NbmR8kx8Z4+RGxje5kfFNbtLixEZKKAP7tttuoxUrVqi87Ly8PPXYvffeq3Kwc3Nz1QXbX8IAAK08SURBVO/Tp09XRvfdd99ty8BG0aeSEs9rxzuFhTmxPgQhAca3s7uPHnpli/r5tEXjadxoT961kSvPmaUM7O37WyglPZ2KC7JsvdemXQ20cnOt/vtHm2roG5cvlGJqAZD7N7mR8U1+ZIyTGxnf5EbGN7kpjLGNlJ4okeuf/exn9OabbyrjGtXEmaqqqiF/P2vWLNXay66UtqWlg+IZeGVw4bS0dFJ//0CsD0eI0/Ht6x+g9LRUemPFPqpt7KSywmw6c9EYamxsD/j3oyvyaH9tO3284QAtnD7C1nv+7dl1NDBIdOSMEUqC3tbZS2s3V9P4kQW2P0eyIfdvciPjm/zIGCc3Mr7JjYxvcpPmoo2E1zUbGY97Axv51TfffDOtX7+eHnnkEaqsrNSfa2tro/PPP1/Jxk888UT98Z07d9K4ceNsv2dfX2IYrbhwEuVYheiNb0tHD/3xqXW0u7qVLj5hEr25+oB6/LQjxlBWelrQ15w6ukgZ2Ot3NND8ydZl4o2t3bR1b5P6+dMnT6Hu3n5au71eycVHlyeGKiSayP2b3Mj4Jj8yxsmNjG9yI+Ob3PTH2EaK+yTeW265hZYtW0YPPvigj3EN8vPzafLkyXTnnXdSfb2nYNOrr75KL774Il199dUxOmJBiC1PvbWdtu1vpt6+AXr0jW1U3dBB+TkZdPz8USH/b+7kMvV95ZZaGkA1NIts2tNI+K8JIwuotDCbpo/z9KLftLvR5icRBEEQBEEQhMQiriPYn3zyiZJ6FxQU0MUXX+zz3Pz58+mOO+6gX/7yl/TjH/+YlixZQllZWZSRkaF+P/nkk2N23IIQKyDJfn/9IfVzTla6yr8Gl50yVf0eijkTS1XFb0SiN+9p0ntkm2VfTZv6PnFUofo+Y5zn/7fsbVIGe2oKSp4JgiAIgiAIQvIS1wb2xIkT6fXXXw/4HIxpgIrif/jDH6inp0e18CorK1PtvQRhOLJ6ax31DwzSmIp8+s5lh9H/1h2iMRV5NGeSJzodioz0NDp6ViW9vfoAPff+Lpo6pojeXLlfVSCfPbGUzlk8IeT/7631GNhjK/I930fkU3paCnV091F9c5dq2yUIgiAIgiAIyUxcG9g5OTlD+mAHIzMzkyoqKlw/JkGIZzZqcuwFU8tVK64zj7JWi+D0I8eqCDhe59rfvKU/vmlPk4pITx7tbe3lXxxw96FW9fOYER4DGwXWRpXl0Z6aNhXdFgNbEARBEARBSHYk1CsIScT+Ok8U2W7V7qqyPLrkxMn675kZqZSp9YV/cdmeoP+HnO/Wjl7KzUpXOdgMG9t7Nfm4IAiCIAiCICQzYmALQpKAKPLB+g695ZZdlhw+muZpBc8uOn4S/fD/jtDl58jPDsTHm2v0yDki1wyk6uBAfeDWYIIgCIIgCIKQTMS1RFwQBPPUNnWqyuGIOFcU2c93hoF8wyXzqL2rT1UfB9PGFqtiZe+sOUDnHzfR5+9RwGzF5lr1s3//7JFlueo7G/6CIAiCIAiCkMxIBFsQkoR9tZ4ocVV5HqWmRlaxOyUlRTeuwUkLPC2+YGD3D/j2Fdx5oEVFtrMz02j2RN/K41WagX2oocNW6y9BEARBEARBSCTEwBaEJMu/HlNuXx4ejIXTRlBBboYypO96ah11dHnafwGOXs+fUq4qkRspL8pWlcQRWW9o7nL8uARBEARBEAQhnhADWxCShP1aBHu0lvfsJBnpqXT0rJHq57Xb6+nR17eqn/v6B+j9DZ6+20f4ycNBWmoqVZZoMvEGkYkLgiAIgiAIyY0Y2IKQJOhtsiIocBaKI2Z42+C9t+6gMrSXfVJNLe09VJSXSfOnBO61PbJUk4lLHrYgCIIgCIKQ5IiBLQhJQHNbN9U0dRIyryeNKnTlPaaMLqILjvcWOPv9E2vovuc36v2zjdXDAxU6W7G5hrp7+105NkEQBEEQBEGIB8TAFoQkYMu+Zl0enpvtLU7mJCh8tvTYifSXb59EcyaW6o+PLs+jUxaOCfp/XOgMx3jLfcuVrFwQBEEQBEEQkhExsAUhCVi11VNobNYE3yreboB87C+fP1u91/zJZfSNS+dTZoZvcTMjcyaV0bgRnrxwRNlXbvEcqyAIgiAIgiAkG2JgC0KC093TT6u31gUtNOYGiJJ/+zML6IZL51NZUXbIvy3MzaQfX72Izj56vPp9zbb6qByjIAiCIAiCIEQbMbAFIcFZvrGaunr6aURxDk0a7U7+tRNMrPIc24F6T7VzQRAEQRAEQUg2xMAWhARnhSa5Pm5eFaWmoMxZfDKq3FtNfGBwMNaHIwiCIAiCIAiOIwa2ICQwvX0DtGlPo/p53uTAbbLihRElOZSWmqIqiV/zqzfp9RX7Yn1IgiAIgiAIguAoYmALQgKzeW8j9fQOUGFeJo3RConFK2mpqbRgmreX9r9e3aKKngmCIAiCIAhCsiAGtiAkMCs2e+Thh08tj2t5OHPtebPoi+fNorzsdPX7T//xEf320VVU1yyGtiAIgiAIgpD4iIEtCAkKpNbLN9aonxfOiE718EhJT0ulxbNHqurjWRlp1N7VR5/saqQXPtwT60MTBEEQBEEQhIgRA1sQEhT0k+7s7qPyomyaOd79/tdOMmV0Ef3yy4vpzEXj1O8fbDhEPb39sT4sQRAEQRAEQYgIMbAFIUFZt8PTT3rRzMqEkIf7U5SXSZcumUxlhdmql/f6nQ2xPiRBEARBEARBiAgxsAUhAUGbK0irwZyJpZSopKSk0MLpnsJnH2/2yN0FQRAEQRAEIVERA1sQEpB9NW3U0t5DmRmpNHl0ESUyR0z35I+v2Van2o4JgiAIgiAIQqIiBrYgJCAcvZ4xroQy0hP7Np40ulDJxTu7+2nHgeZYH44gCIIgCIIg2Caxd+aCkOSs31FPyzdWU1+/b2R31VZPe67ZCSwPZ5A/PrGqUP28t6Yt1ocjCIIgCIIgCLbxNKMVBCHu2FPdSrc/vkb9PG9yGX1p6WzKyUqnA3XttG2fJ9K7cJonfznRGTMij1Zvq6N9tWJgC4IgCIIgCImLGNiCEOcycLB2ez19768f0pHTR9DaHXU0iOJmk0qptDCbkoGxIwrU97017bE+FEEQBEEQBEGwjUjEBSFO2bq3Sa8Sjsg1ipq9vnIf1TZ1UWlhFl1zzixKFqpKc9X36oYOGhyE+0AQBEEQBEEQEg+JYAtCnLJ9v0cGfs7i8VSYl0nLPqmmgUGijLQUOmZOlXosWagoyVHfO7r7qK2zlwpyk+ezCYIgCIIgCMMHMbAFIQ5pbuumhtZu9fO4ygIVwb7g+EmUrGRlpFFJQRY1tnZTTWOnGNiCIAiCIAhCQpIQBva2bdvoxRdfpIaGBpo4cSJddNFFlJ+frz9fW1tLTzzxBFVXV9OcOXPowgsvpPT0hPhoghCQHVr0ekRJjjKuhwOVJTnKwK5u7Ej43t6CIAiCIAjC8CTuc7BfeeUVuvjii6m5uZkmT55Mr732Gi1dupQaGz0FoPbt26d+hxE+fvx4uvfee+n666+P9WELgiMGNqLXw4URJZ48bESwBUEQBEEQBCERiXsD+1e/+hVde+219IMf/IA++9nP0v33308ZGRl03333qefvuusumjdvHt1+++109dVX04MPPkgffvghvf3227E+dEGI2MAeX+lVagyHCDaoFgNbEARBEARBSFDi2sDu6+tT0WhEsBlIv2fPnq0i1qg2/NZbb9Gpp56qP19ZWUkLFy6k119/PUZHLQjOFTgbnhHsjlgfiiAIgiAIgiAkn4ENYxr51iNHjvQxulevXq3k4PX19dTU1KR+NjJ27FjasWNHDI5YECKnt2+ADtS1qZ/HjRhGEexSLYLd0CmtugRBEARBEISEJN3JXOm2No9RYJXTTz/dp2hZKJBjDaP6qquuotbWVvVYbq4n8sXgd7vHAtLT49rvQGlpqT7fheSivqWL0Ao6Iy2VSouyKSUlhYYDVeV5equurt7+pK0kLvdvciPjm/zIGCc3Mr7JjYxvcpMWJzaSYwb2b37zG9qzZ4+t/4Wk24yB/cILL9Cf/vQn+sMf/kCjR4+mXbt2qcchFTcyMDBgu4p4amoKlZR4NvrxTmGhJ+InJBcHGrvU97LibCotHT4RbFBelE11zV3U0TdI4xLkPrSL3L/JjYxv8iNjnNzI+CY3Mr7JTWGMbSRH+//885//pFGjRln6H0SizQDj+uabb6Y77riDlixZoh4rLS1V3zmSzeD3oiJ7bX4GBgappSW+c0DhlcGF09LSSf39A7E+HMFh9h1qUd+L8jKpsbF9WJ3fiuIcZWBv29VAlYVZlIzI/ZvcyPgmPzLGyY2Mb3Ij45vcpLloI+F1zUbGHTOwYdBWVVXRmDFjLP0fjOTU1NAH+/TTT9MvfvELuvvuu+noo4/WHy8sLFTvuX37djrmmGP0x/H7kUceSXbp60sMoxUXTqIcq2Ce+mZPm6qS/KxhN74wsDfubqSD9e1J/9nl/k1uZHyTHxnj5EbGN7mR8U1u+mNsIzkmUH/yySdVcTGn/++JJ56gn/70p6otl9G4Zs455xx6/PHH9Zzrjz76iNauXUvnnnuu5WMRhHigobVbfS8pzKbhhl7oTFp1CYIgCIIgCAmIoxJxIyhElpOTQ1lZWbrEe82aNcpIZol3OA4cOEA/+clPlOz84YcfVl/MpEmTVH/s6667jpYvX05Lly6ladOm0bJly+jGG2+kGTNmuPXRBMFVGtnALkhOiXQoRhR7ChZWN8R3moYgCIIgCIIgRM3A3rRpE11xxRVK2o0WWs8++yx997vfVYXH/vGPf9Att9xCl19+edjXQfXkW2+9NeBz5eXl6juKoz366KPKyG5sbKTvfe97Q9p2CUIi0djiKXJWOgwNbGMEG8ULh0sFdUEQBEEQBCE5cMXAhhGNnGjuX/3II4/QscceS3/9619VJPvXv/41XXbZZWE3z8ivRh/scKSlpdHixYsdO35BiCXDO4LtMbA7u/uorbM3aVt1CYIgCIIgCMlJqlsR7C9+8YtKHg6pOHKiP/3pT6sINqTcfX19VFtb68ZbC0JCMzA4SE1tw9fAzsxI0z93jeRhC4IgCIIgCAmGKwZ2f38/ZWZ6Ik/vvPOOilQbq3zD0BbppyAMpa2jl/r6IY0mKh6GBjaoLGGZuORhC4IgCIIgCImFKwb2lClT6LnnnlOVvR966CFasGABFRQUqOd27dpF7e3teg9rQRCGysOL8rMo3WSvvWRjRImn0JlEsAVBEARBEIREw5Ud/Oc//3llWC9cuFDJw6+++mr9uW9+85t01llnqbxpQRB8adTk4WVFw69FFyOtugRBEARBEIRExZUiZ/PmzVO9qd977z2aP3++MrSNfatR4EwQhKE0aRHsskKPTHo4UqlFsKVVlyAIgiAIgjBsDey33npLGdYs/UZPanz584UvfMGptxSEpJWIlxUP3wg2VxKvbeqM9aEIgiAIgiAIQmwM7AcffJA++OADFbE+8cQT6aSTTqKZM2c69fKCMCwQiThRhWZgt3f1UXtXL+VlZ8R6WARBEARBEAQhugb2/fffT/v371eR7LfffpvuueceKioqUsY2vlBFPDfXI/0UBCFMBHsYS8SzMtOoKC+Tmtt7VBQ7b6QY2IIgCIIgCMIwzMEePXo0XXHFFeqrq6tLRbRhcP/sZz+j+vp6WrRokR7dHjdunJNvLQjJZWAP4yJnHMWGgY1K4hNGFsb6cARBEARBEAQhdkXOQHZ2Ni1ZskR9gU2bNqnI9gsvvEC//OUv6aWXXhIjWxAMDAwO6nnHI8vyhvW5KS/Opm37m6m+pSvWhyIIgiAIgiAIsTew/ZkxY4b6+tKXvkSNjY0iFxcEP5rbeqi3b4BSU1KooiSHWluGb5Gv4rws/ZwIgiAIgiAIwrA2sHt6euiBBx6g999/XxnTg4ODQ/4GOdpVVVVuvL0gJCQ1jR3qe3lRNqWnudKiPmEozMtU3yETFwRBEARBEIRhbWDffffdyoA+8sgjg8rA09OjFjwXhISgtskjh0b0erhTnK8Z2G2enHRBEARBEARBSARcsXKRa33LLbfQZz7zGTdeXhCSkuZ2jzFZWuCRRw9nUEUcSARbEARBEARBSCRc0aGmpqbSnDlz3HhpQUhaWjt61fcCzbgczhTlSw62IAiCIAiCkHi4YmCffvrp9Oijj9LAwIAbLy8ISUlrhyffuCBX+j6zRLyju496evtjPDKCIAiCIAiCEEOJ+Oc+9zk655xz6Oyzz6bZs2erll3+fOtb36LS0lI33l4QEjuCnSMR7JysdFXora9/gFrae6i8WPLSBUEQBEEQhGFqYP/973+nPXv2KMO6o8NTGdmf6667TgxsQTDQ2skScYlgp6SkqCh2XXMXNYmBLQiCIAiCIAxnA/vll19W/a5vuOEGSktLc+MtBCHpaNMk4oW5EsHmQmcwsKUXtiAIgiAIgjCsc7B7e3uVRFyMa0GwIRGXHGzfQmdadXVBEARBEARBGJYG9oIFC+jdd99146UFISlp7+qlnj5PUcCiPGnT5TkPnkh+U5snsi8IgiAIgiAIw1Iiftppp9E3vvEN2rZtG82bN49yc3NVTqWRU089lfLy8tx4e0FIOA41eGoVlBRkUVampFWAIq2SeItEsAVBEARBEIThbGDfeuut1NbWRs8884z6CsQrr7wiBrYgaFRrBnZliVTLTqQINlqrPfr6Vmrv6qPLT5tGI6TauSAIgiAIwrDGFQP7oYceUnnYoRg5cqQbby0ICcmhhk71fWRpbqwPJQ5zsOPTwB4cHKS/v7CJVm+rU7+3d22gm688ghIVfJ5Ne5pob00b7TrUQhccN5FGlMj1KAiCIAiCEBMDe8uWLTRhwgTKzMykyspKW/8nCMOV+uYu9V36PXtBmy7Q3BY/Rc6efmc7Pf/+bhoM8Nz2/S3KOB07Ip8SkbdW7ad/vrJF//3DDdXq+0kLRtNVZ0yP4ZEJgiAIgiAMwyJn119/PR08eDBq/ycIyURnd5/6npvtiqgkIeFiby3tvTQwGMikjS49vf306sf7fIzr9LRUuuyUqTR3Upn6feu+JkpU3l9/KKjhzTUC/Gnr7FWRb0EQBEEQBMGDo7v5l156iUpLSy39D3K1BWG4oxvYWWJgM2hXhtKIMK7bOnqpUMvJjhWf7G6k7p5+Ki3Moh/935GEg8vOSKPMjDQlY1+3o57217ZTItLQ0kXbD7Son3993WLasreJ7n1uo/78Tx/4iK48YzrNn1yufs/MSKVVW+ro7mfX02lHjqXPnDI1ZscuCIIgCIIQTzi6m7/99tudfDlBGDZ09ngM7OxMMbCN0eH83AzVH7yprTvmBva2fc3q+5yJpUOOZXSFpyPC/trEdBiu2FKrvk8ZU0TlRTnqa+b4Uurp66e//mcD7TzYSn/9zycB//eVj/aqgnRHzaqk0sLsKB+5IAiCIAhCfOHYbv6xxx6j/v5+W/9rNurd3NxMK1eupCVLlvg8/t///ndIUTW0B5syZYqt4xGEaCMR7MCU5GcpA7uxtZvGVRZQLHju/V207JNq2l/niU5PqCoc8jejyzUDu65dSab92xLGM339A/T6in3q5yOnj9AfR8s48P0rF9L9z2+kD7Sc7EA88dZ2eubdnfTdKxbQ5FFFUThqQRAEQRCEJDewrUrDrTIwMEA333wzHThwwMfAbm1tpW9/+9t0xhlnqH7bzIgRI8TAFhKGzm6PcyonS3pgGykryqY9NW1U3+IpAhdt1m6vo6ff2eHz2MSRQw3sqrJcSk1JUe260FaMjdNEYOveJqpp7KT8nAw6bl7VkOfTUlPpi+fNps+dNRO1xqmju58ef2MbVRRnqwJoz7yzgzbvaaKapk6666l19I1L59GEAOdIEARBEARhOJAQetSmpib63ve+R2+88QbNnj17SBXytLQ0+u1vfyuVyIWEBBFPjmDnSA62D2Wa5JirrEc7svsXP1n0qPK8gFXCM9LTqLI0hw7Wd9D+uraEMrAPNXpaxE0eVRjy+stI99TELEpPoy+eN0t//PNnz1TX788e/Fh9fuRu/+yao6Jw5IIQP7z60V6qbe6kcxdPiHk6iyAIgpAkVcTdorq6WkWn6+vr6dxzzx3y/NatW2ns2LFiXAsJS2/fAPUPeCoxi4E9NIINYhHBRuVsdnz89AuL6KyjxtE3PzWfUlMDy791mXiCFTqr1QzsipIc26+B6/brF89TPx+oa1fF4ARhuID6DI+8vpVe+3gf3fSXD+jt1fvjovOBIAiCEBvi3sBGLuMPf/hDevTRR6mqqiqggT158mQVyX7xxRdp7dq1MTlOQbBLp2aMwGzLyhSJeLxEsNHTmgt/ja7Ip0uXTAlZxGv8SE+OOCpwJxKQdoMRxfYNbFBZmqsqv4ODDYnlZBCESHjhw936z109/fTAS5vp+fd3yUkVBEEYpsS9RBy51IEi1wwM6/Xr11NjYyOVl5fT8uXLacaMGfSnP/2J8vOHSjnNkK5JIeOVtLRUn+9CYoNKzSA7y9PyScbXy4jSXD2CHe37kouaja8sMPXecyeX0VNv76BNexqVtwRV0AMRb+NbqxnYI8vyIj7HiOJv2tNE1Q2dNGVMMQ1H4m18BXfHGAUY12yvU79/94rDafnGanpz5X564cM9dPpR4ygv2+N0EhIHuYeTGxnf5CYtTtbguDeww4GcbBjgn/70p9XvdXV1dOGFF9Lvf/97+sEPfmD59SD/LCnxSD3jncLCyCJOQnxQ29qjvuflZPpcezK+RFMyPFMUCoflF2SrXOdosbfGY2DPnFRuak44rChXKRBQsK5nMIUqwvxPPIxva0cP7dNai82bPoJKiiI7pvGjipSB3dTZmzDzqFvEw/gK7o/xso01BDX49HEldNzhY+nYBWNo2/5m2lvdRpv2ttCpi8bJMCQocg8nNzK+yU1hjNdgxwzsc845h/bs2WP671944QWVOx0pN910k8/viGKfd9559Prrr9t6vYGBQWpp6aB4Bl4ZXDgtLZ3U3z8Q68MRIqSmzmPgZGekUmNju4yvXwG4zPRU6ukboO27G5QMORpgHtiCSDQKm5Vkq3ExQ0FOhso/PnCohXLTU+L+/kW0DcYB+ninDgyY/pzByNeq4B+saYv4tRKVeBpfwd0x3rKzjv7w+Gr12Ixxxfo1v3BahTKw//rsWpowIk+vJSEkBnIPJzcyvslNmotrMF7XbGTcMQP70ksvVTJt0NPTQ//4xz9Um6xTTz2VKioqqKWlhdasWUNvvvmmijCXlJRE/J4dHR300ksv0fHHH6/eg0FV8Ujo60uMTREunEQ5ViE4bR2eCHZ2ZrrPeMr4esDmFNWpqxs69JzsaORfd/f2U3ZmmspNNnuf5WanEzUTNbd1h/2feBjf3Qdb1Xf0rnbiWIrysnRJf6w/W6yJh/EV3GX5J97e8DCqebxPOmy0kok3t/fQmyv30QXHT5KhSEDkHk5uZHyTm/4Yr8GOGdif+9zn9J9vv/12Ou2005RMOzXV19L/73//S3/4wx9s50cbyc7Opl/96le0e/duuvHGG3Xj/tVXX6Xjjjsu4tcX4h/IW1/7eC+dsnBswPZJidUDO+EzNlwBhcVgYEez0Nn2A83q+8SqwqBVwwOBXtKgvauXEgHkjwKnImwlhVk+rysIyQzXaTjtiLE0xrD+oE3XJSdNpvue30grttSKgS0IgjDMcCUD/O2336arr756iHENIN9GNBvttyIFr4886/vvv59+9rOf0QMPPECXXXaZkpVef/31Eb++EN909fTR7Y+tpnfWHKTfPbZab6mUaHh7YEsF8UBUau2j0DYrWuw40KK+Tx5daOn/2MBu60yMa7Gx1eO0KHWobze/jhjYwnAALenA1DFFQ547bGo5paWmqLZ9B+uHZ7qEIAjCcMUVAzszM5NqamoCPociZG1tbZSXl2eroNnJJ588xGB/4oknqKCggLZv367k508//TSVlpbaPn4hMfjwk2pV/Aq0tPfQmm2eSq6Ja2BLBDsQaJFljBa5DRx0m3Z70l0mjRq6cQ4FVwxu70yQCLZ2/xQ7ZGAX52fp13SiOrwEwew8wQb2qPK8gHPBzAmeVLh7/r2BerVuEYIgCELy48qOfsmSJXTrrbdSVlYWnXDCCaqXNfjkk0/olltuUTnTdiTiZ511VsDH0ZYLX8Lw4v31h9T3jPRU6u0boJVb6+jo2SMp0ejsEQM7XOsnsF+rdu02e6rbqK65izIzUmnmeGu1IvI4gp0wEnFnI9hwEuG89fQOqArl4jQSkpW6pi7V8xpR6hGaysafpcdMpC17mlRNhyfe2k6Xnzot6scpCIIgJEkE+5prrqGZM2fStddeS3PnzqUTTzyRFixYoKLLXV1d9NOf/tSNtxWGER1dfbRjv0fGe+lJk9X3aObouhLBzhSJeCBQ4RrUt3RHJSr6ya4G9X32hFLKyrA2JvkocpYgEWykWHD+P0eenaAgJ1N9b+2I/3MgCHbZW+0pEAjjOljP+yljiujKM6arn1/7eB9t0OYWQRAEIblJd0si/re//Y3ee+899VVbW6sk3EcccQSdfvrp6nlBsAJy2D7aWENHzhxBVWV5tHF3Aw0MDqr8XJYQw2BIRKTIWWggtSwpyFJ5vZCJTxltTbZtlZ2HPBtnO+/DEexEMLDbtGOEcYBq6U6Rn5uhqoi3JsA5EAS77NEM7EDycCPHzBlJ/1t3UPWH37avWTnuBEEQhOTGlQg2M3XqVJo2bZr6jirfI0eOpPR0yTMVAldtfvXjvaq9Eb5+/8Qa+miTJ49/16EW+snfP6Jn39tJtz24QuVbozIrmD+lXDcOINdLRCQHO75k4rsOepQRE0YWWP7fvAQqctauHWNedrqexuMEBbmecwCJuCAkK/tqNAO7LLSBjXvrsCnl6mdIxQVBEITkxzVr969//atqx9Xb26vnT3/ve9+jwsJC9VxZWZlbby0kGIhM/uaRVSpv85Xle1XeJtpvrd1eTwu+cxI9+NJm6tF62XV099GyT6r1gmZHTB8hBvYwkYmv39lAr3y0l46dWxVUkulEVBf512C8DQM7kdp0dWjHqHp3OwhLxNtEIi4kMXs0pUtVeW7Yv+UWXhz1FgRBEJIbV3apL7/8Mt1111103XXX0b///W8aPXq0evy2226j7u5u1VJLEJh/v7dDGdcA0lIY18x//reTdh1qVQbVmYvGqcceeX2rklUX52fSpNGFlJ2ZrkvEUdk10ejUIu+Sgx2cRTMr1Xf0w16x2aNecAOoJQBSD3K1iuD22nT1Rm7oN3WSm7R3aRFs7Zidj2DHv5NBEOyAdYZzsMNFsFkNA5EInHcNLYlZK0QQBEGIsYH9+OOP00033aR6UaO6d1qaR8K7aNEiuvfee+m1117TI9vC8AY5te+uPah+/soFc2jBVI+Ujnnu/d3q++HTyunYeVU+zy2cNoJSU1L0CDZsa450J6RE3OFIYjIxsapQd7Cs2By4BaAT7DzYqr+fHSC35nSFvn571+LuQ630/+5+n757zwf0yvI95BYcZc9zuD2cSMSFZAdpSnCCwWgeWRo+gg1n3SRtTrn3uU/o2Xd30Ja9TVE4UkEQBCFpDOyDBw/SwoULAz6HPGzIxNEPWxD+/d5OZRgfPq2Cjpgxgr528Ty6+5sn0vev9L1+jpwxgkaV5VJhnrdA3mmLxqrvWYYCTYmYh83F2XK0SLwQGFwjYOu+ZtdOUXVDh0/lcqtwH2xjhNgq76w5oK5jaDGefHs71TV3ulaJ350ItlZFXIqcCUlKdaPnniwrzKZMk50GWIWDYmf/+d8uuv3x1VTT6JlvBEEQhOTCFQN7xIgR9MEHHwR8bseOHdTc3EwlJdb6ywrJByK3q7d6HC1Lj52gPw6DefIo3wjinEllqljM+cdNpDEVefTl82fTiGJP71FEsdnITrRK4pAadmmtkrIdjiQmG2z0Nrf3uJbj3KIV5jI6cqyQmppCudo42q0kfqCuXf+5r3+Q3lixn9ygza0cbJGIC0kOy7xLC7NN/88pR4yhL5wzk5YcPpqqynJVWtRNf/mQHn19a0KmNgmCIAhRNrDPP/98uv3221UxswMHDqjH+vr6aPny5Uo2fvLJJ1N2tvmFSUhOULQKMtrK0lwaqxWBYWBMX7t0FqWneb5zP+IlC0bTrV84So8GMHolcc1YTRS6ez2RSiA52KFB8Tu06wIH69yJ/LS2e4zOQi0Ka4dI87AP1Lf7OJ3eW3fQttzcVATbRq65uT7YUkVcSN7CnKBUm4/MAEcwCjReefp0uv7Cubq0HIUb2dFsl+37m+n5D3Yp52Mo0Nryny9vpp8+8BGt21Ef0XsKgpA41DR10n//tzMqnVgED66EzC688EJat24d/e53v1NfYOnSpcrIRtuuW265xY23FRKMLXs8OWhzJ5YGbBN09KyRdNTMSlMthFDorJl6Ei6CzT2w01JTKCPd1a55SQF6zmJzCyN0ypiiuItgg7ycdKImexFsGOVcHOz0I8fRm6v2q98372mi2ROd7Z/LVb45b9zxCLZIxIUEYuPuRnryrW00MEB01KxKOmPR2KBrT4NmYJdYiGD7z2O3ffEoeujVLfTmyv30xsp9tEBLgbFCT28//evVLXodE3TY+MnVi4Ie9/vrDqk5Bdzx+Bo68bBR9H9nzrD1GQRBSBy16M//6Wlx+9LyvfSLa4+OaI8jmMM1TeqPfvQjZWi/9dZbVFNTQzk5OXTYYYfRaaedRhkZzkZMhMRk6z6PgT11bHHQvzHbnzdbi3AnWg42OwQQgXeyF3GyUqGlBdRrrbScBDJNjrqykWgHloh32nD28OcqystU0u0FUytUTjba0jltYKNiv1WZqxn43HX39FNvXz9lpJvLURUEM7y//iB9tLGGFs8ZOUTJFAkvfLBLL3K4u7pVXceIOAeiUb93zEew/cF8f8aRY5WB/cnuRrUJhkrHCi8v36Mb12BfbbtyQAa7p1du8XZgwHLz9uoDdML8UbaLOsa7OuyTnQ3UPzBIMyeUOK7UEYREAQoXGNcA88yOAy10mF9BYcF5XA2ZIRcbLbrwBWk4fueK4sLwBpJXbAaAf761HVgijkU1ESPY3GpMCA1LxFmi6fRYIOfZWKjLDpxLz2NrhYbWLp/POWO8x/m086CnfZgbBjYKNTkJjAQoMoC06hKcBK3r7n9+E63ZXk/3Pb/RMbkjIsFbtOKJUzVlzN9f2ER/f2EjbdrdGLTImRWJeCBGlORSWWGWKvS5w8Y9/skuz7F95uQpeo2KvTVtQdfcjXs8f3/L545UUXrwlhbRTiaQ/vKTv39Edz29jv787Hr6x4ubKBlZvrGa/rfO62ARhEDw3OafhiYkqIGN/OtTTjmFvve979Edd9xBTU1N6udLL72U6usl92e4U9vUqfLBUJyMjYlI0HOwEyyCzVHOnCxxPJmBN7SNmiHqJBy9xjXJOf924GrwdtIV2HHA98TEkR7n056aNkfzsOGIYuO3rMhZAxuRuXwpdCa4wMvL96p1A/T2DdAv/7VSr/wfCR9+Uq1eD/fdtz59GI2pyFfvg+jwbx9dTXu0ntdc4Ayt9BABnjImuPrKLFO11+CUKbPgeNnxNndyGY2tyA9pYCNqBVUJakSMrcynkw4brdd4eOHD3UptwvMWVDPIDUeXj/UJmKv94rLddMhwXSDFJtkKySGn9p5/b1COps2a40QQArFxV4P6Xq6t9cZCqkKCGdgvv/wy3XXXXXTdddfRv//9bxXBBrfddht1d3fTz372MzfeVkggePEbWZLriDSao4ZdWk/pRIGPVyqIm4MNT86BdJKmNs9rFkUQvQbZmrPETgTbWzzJsxBWlOQo5xE20zVa1MzJKshwJjidg+1T6KxTCp0JztDR1Uvvb/BE6z531gwaV5mvWuE9/c6OiF4XhteLH+5WP0OyjbZb/+/yBfSZU6aqDSkM7RWbvdLqZRur1fcZ40sdcQ5z6seqrd73MMNbq/dTj+YUQMG0CSML1OPB+mujqCi/HwquIVIPaTjsziff2q4MapyLu5/doCK+qG4OA/uOJ9bQ/gTakOMzfLjBM0bXnjdLqWlQ28KNtKJY8u4aTwFh8OKyPTE9FiF+wVq//UALYZd9xqJx6jEnnJJCjAzsxx9/nG666SYlC58xY4YuC1+0aBHde++99Nprr1FvrzttdoTEoLrBYyxUlnpyaodtBFszwqQHtjl4Q8vGsJPoxm0EeZXGsbSTg93QwsWTPMeAjTDnNHc46DzizWZ5YbYruf9stHOlckFwInqN+RIFwo6bV0VXneEpzrVme11EqUFIVYLkG0UmTzhslHoMUd7TjxxL52mV/BERveff69XXs+/uVI+dcqRnsxopyIWEEYjjgLLLLO9pudfnLB6v7mFEscGmPY1D1DOIXLNBNneSx6DH/9z4qfl6itZbqw7Qx5trh1QXhwH+1FvbKVHAWCL9BR1IUDiOO5S8kWRSeGM+/YadDTLXCkGLN4KJowppdHme43sJIcoG9sGDB2nhwoUBnxs5ciQVFhZSXV1kbSmExGZ/nUfGxq1KktnAhuH2+op9Kgrpj0jErVGc7zE8sdHGptFJ9MrAEUalciJQU7DjoDjfG0Xn/HwnK+TXcf61w/JwhntrI8IoCE7lm4LzjpmgHE8TqwpU/jL6SUMCbBcYJ2D2hNIhtTAOm1JOhbkZqjbD8o016gvz+IjiHDpxgUeZFykovjWhKnT02R+042Ip+BHTR+hrKY4Lx8q52cyqbbXqfxCRNxaGgyPhO5ctUA4xGKV3P7tePX7KwjH002uOUpXOca5Xb6tTsvhEYJuWbzppVJFK9TnzqHF6QbhkkcbWNHbQwfoO5Zgpys9UhdxQCFMQ/NmlFW6cMrpIKdYSsVZRouKKgY1iZh988EHA53bs2EHNzc1UUlLixlsLCQIv1uM1WVukuGGEOMWfn12nWqk89Mrm4BJxKXJm2pGCDZ8bXthGLXocaVXtSCTinAdelJflao93jmA7XeDM38CGrFfwSlefeGsbPf1O4kQD4ymlCJFJGBTztEgtIrAzxnn2Edv22zewueAPJOf+oNgh2l5decZ0uuyUqeoL8vSfXLPI0bSeqaM9edhb/YoRBbuO0E4MjK8s0Nvt4HzMm+I5NzCIjbAD4vBpFZSe5rvtgyTev1r6mYvGqWhXVVkeHT7NU234o001lCi5yQBKBwCHwoKp5SoSj1zzZABF/gBk/ifM86gu/vbcJ3QwxsWrkE7x3Pu76Cf/+Ihue/Bjenv1fjHmYsyuQ546DUghcWMvIUTZwD7//PPp9ttvV4XODhzwyJLQA3v58uVKNn7yySdTdrY7Gzsh/oH3jHO6JmhFnJI5gr19v2eCM7ZTYTq145UiZ+bAJpLPldMGtn8F71gUOWvRCo8Z24RxRNyO5DxcDrZbEWxuiSMScS97qtvoxQ/30HPv73alCn4yw9G5GeOKfVpZTdEqfm/dG94wDcZBbS1ig8yfovwsWrJgNJ125Fj1hbZWTrd8gnwT7AtTFR33E/Kj/7fukCqydslJk32eRxSeC5oZ2aQZ2OyQ8AeGt34sUAYY5oUjZozQ26PFowPbH5bZVxR7P8PZR49X36FAQCQ/0Vmp1QSYP6VcrwYPuMd5rEDLOdREQAAFeb8PvLSZvvb7d3RVgRBdUBgVBVLBhKpCQyCqP+mK/g0bAxv9r1Et/He/+x0tWbKE9uzZQ0uXLqUrr7yS0tPT6ZZbbnHjbYUEYcf+ZuVNhgzWiSIx8WRgQ7b83//tpLrmwLl0XAHXP4ItOdjWo6Po5+iGRJwLjNklx2YEG9cGR7A5KuXWtR2tCLZIxL2s2OKNAIYzpNyiurGDfvnQCrru9rfp1Y/2UqIZ2POm+PZuZQWUsWK0FbDJPFDfEdLAjgZ8H4ZzvPzjpU26o/bTS6boBdKYkWW5upHJG2i8JooawSCfNtbjkPBnkqFV5lF+vcUR/YUUv6mth75y+zt0y/3L1XUUr3AxSMjljZ8PBd1gcDz//i5KZJBGsHlvk1JzLJxWoa5bpE2AWBqyUA48oxUcPPWIMbrzBykLf3tug+7UFaIHUiKQ0gKn5AitYCrvNZzsSiJEuU3Xj370I3ryySfpq1/9Kn3qU5+iK664QrXrevrpp6mszCNjEoYfaHa/StsszRzvuzlIBon4w69toWfe3Ul3PrFW/d4/4DuJ+Uf0OIItVcTNwxEsp6OjjdoGIFKnD1+LViPO7Z29yvHEuZHe12NZl3Oft7HNmYJuwcjlMXK5mAo2CYmwUYCx8/Emb1GifUFaKbkF7hVUhf7eXz5UPVHhCHxh2e4hDr94PXc7tTzCWeN9I7DlRR4jClFJ9LK2Cq5PdtQZDbJow3NOc1vPkDWDwXW+TpMGI4qOaHogQx0pNNhUwyAGm/d68rHHVRZQbpDIO2TjXzx3Fp18+GhacvgYn+cy0tPo82fP1Ock5H7/8N7l9Lf/bojL68cbwc7xUT5dcPxE9fMHGw4lxJwRjLXaNYDIdbn2GU/UivNBJROr/Npn392h7ic4Mz61ZIpSDdzx1WNVfn9tU5eaf4ToAkcMy8MxL3AOtnHvKSSggQ1QzKy0tJQqKipUq66JEydSRoaz0iohcXhj5T76xl3v0Wsf71O/z57oXB4+GyGxnjQ4ugAJPDYf2DAZaffLSeXNXY5h4hPMGW9ORrCxIWV5dsRVxG0WOeP3x4bEmCdplHU5Xr3ewTxSI16JuHs52HjtW//xMX37z++rNjzxDAoSGaOs0Sy2NDAwqPpFow2T8frG3LRDS1+JZ1BZH0YDInaVfkUxca/w3I8iXVZhIxSvg1zkWFGUl6k2wFgzWtp7g/ex7u1X6SNXnTk9YPV/zBs8vmxort3mMchm+jkn/Fk8ZyR99vTpqpq6P7MmlNLvrj+Wbr5yIVWV5SoD9YMN1fTwq1tUZfV46cOMeZznAv9aGrMmlCgnAVQ1XNguEdmt9WTn9Aj+rJkZqdqeI/rpJ5jPPtZy9K84bZq+fiG94oZL56ufV22tSwp5fqLQ0tFD/3lvp55aA5SRrc1zTheJFaJkYMPjjF7XZ5xxBt166630pz/9iX7+85/TBRdcoHpjd3Y6189ViF8w2aOw1w1/eJfWbq+jD9Yf8nl+wVRv3lcySMT9Pcf7a9uH9A/1j7ry8bpl6CR1BNtBA5urd2NjYIwe2yHH5rXY2j5UHu7Wtc2vxa+daBJxrDF/+c8nSmoNVQy3LIpX/HNio9kmZe2OenWe4Jj60tLZ9Itrj6bFsz0y4I83x3/hKi5CBuPav0AXjExUxgZ2+hzzfQ9DIJakatWgQ8nEdcNqdJFe6DEQkIICyMKVYmxr3ZA8azvA8J48ukgVfVs8e6R67I2V+1Ve868eXqUXFwsGHKJmHEt1TZ302BtblYFgFU6xgTOG5yAmLTWVjpnjOW709zYL8on/9coW2rrPfiE9J+c9vUBspW+B2MJcz/XTqjlqo8k/X96spOBw4kCKbwTXKyKoqHRubC0muAfutXueXa/W3zEV+XolfZAVJ+mUwwFXDOyHH36YnnjiCfr2t79Nr7/+Oq1bt47eeecdlZO9efNmuu2229x4WyHO+GRng1qAMeFjM4yiFwxyhpw0KjnK1x1Dibj/xmjT7kZ6Y4UnWh/UwOYq4lrerhCbCDbnh5UWZEXcF5rl/j191uTLnNeIaJab6Q9GWbVb1evdjmDDYDX2631r9f64lKv651yz8yZamxtsyDnnFLJiyEoh+eXWTqs14yue4SJkiJyGyl+us2Fgc7TP/56LBZh7QLBc1XDF2BhsqNkgR8oSHL/4H2OedSTAyYEIun8qDdpghXJk/OzBj+mH9y6jDbtCR4//9Mx61fP8/uc3Wj42jpAiyh/ICXH24vHK+N51qNVUxW2s6VB/vL5yH/3mkdVhnQhug+NBhB6fYUxF3pCK98COYyIS9te2KSkyzvfVZ88M+DdHaoXyVm0VAzsaoBAiChviOrnitKlqzh/qsI//goWJjisG9vPPP0833XQTXXPNNTRmzBjKzMykyspKOvfcc+lvf/sbPfvss9TdLVVUkwlsVCARMuaPGaMjbAyNrsij+767hC48YZKj7x8PEWzO4WUeeX2raqeBhYc31kMk4tokJ226zJOjt4ByMCe51bmcZGNU2Mr1yL1rp40tdqztVzilhVsRbD5mJ+9HSKzRT/7Vj/fSi8s8m/k5k0pVUTkUNrr3uU/Cbt5jBfcsRludaM5TeF84NjPTU+n0RWOHFAeDrDreq8lyBHtUWfAq38CO/JRTeIx952NFuM+hF2MLch4Y7qmNwnArtGrTXzhnZsiot1UgM/32Zw5Tbcsu0tZyf5UGg+O4+W/LVJoErrS//meDSldg5wak7LivofaC448j9cg1RnqDFRCxD6QCMkZ5uTCcmWjq26u8baZwbB9pvdhjBUev4TAxGk0A/dqjGcHGdbpqSy29qqX8HYZieEG6UszQ0hP2JEgv9UQGjiO01MPdjh730/06B/CaLxJx93ElfNHS0kJz5swJ+NzkyZMpPz+fGhsbaeRIj1xHSGwgzUPfQ3hWESXJ0PLAuG8misew5/fE+aMijhAGwjhpYMPoxnuYrUKNCKtRAvrpU6aoaDakekOKnHEurORgxzaCrY2dE1XtEeGBnBL5gFAomJWcb9EkiMh3NOK0x5l7YKanpQyR3DoFV8V3yimw82AL/eKhFUqGaASy10lVhfSf/+2iDzdU07IN1fTzLx1NlSWBo52xgvOvEUXEPBCt6AFLciHRLDbIoPmahGwTY+Qvp40nDtSFrvLNLe3abBgWnINtPDexgqPobCQGG8twEWyW6Na3dOu5uv6yXSdAj2x81TR2qNZMSImCgx1SbKPj8p5/b1BGKqT8UBnAAETBq5Wba+i7VxxOf35mvTKq8fnhCDCCfcNIv7z7UPC5K8oLPp7TxxYr431fbXvY1+KoPHJYERFcs62ezlnsqdgdC9j54C8PBwVhrh+n+cu/1+vt3wBa2QUD1yy2ZKgzAsdKrFMykhmoP8C8yWVDnPUgW8vBFom4+7iyu5o7d66SiAfio48+UoXORozwSEaExOfZ93bohUXeWXNAyameeGu72rhhI/eVC+cow+WI6RV6tUun4Qgwtt+xqqLJUVC0NUHRHI4UnbpwjCEn1XcTyBttycGObQ52o7YZ9S+MY5cci0X34BRq1YobGavfulHkrEu7P9xUTXCrMqeqfGOjC+Mam/RFM0eoL9xXx8weSUuPnUiXai1hcP+v3xFfUWx8/iZtbmD5brQ2Nxz1HOkX9URBLy5209YZv4WHVButMIYlS2NbbXyOeMnBVsegGUiBItiQ/WKNTTG04goGHNpG9/JFxzurFvMHlayR14nr/FCDr4QaEV+sxzAIf37t0fTTa45S9y5ANftHX9+mG4343Lc/vsbn/5FHbgWWRxfmBXdq8vzKReCCcdfjq1QOK1R3l582TVeExDIVRc+/1hQogXKwoyERx17HaFzPnVSmisgFA3MNOz1ZzSPYA457VGxHS7TePt91ZOPuRnp37QH181la7/dgKWxWu5wI1nFlh4XiZjfeeCPt3buXzj//fKqqqqK2tjZas2YNPfTQQ6o39n//+1/970899VTKy4tdD0rBPvCWInLkDypa9vQO0PHzqlR7EFQgdRO8HzykWPuweY2F5JoN7JLCbPraxfOU7O3SJZNVND03K2OIUYjJkSNyIhE3jxsSp4ZWZ1p0GRcxeOvNRtmxCeWNG0foIy2aFgx26rCB5QbGdiA47vyc1Ig2FCu3eHKFr79wbsDNJTYTOHtPvrWdPtnVQKcs9G01FEtgxA1qigHe3EfLwD6ky6uHGmVwfuK6a+3spRHONXRwFEQ7MWcqw7I0J2QE2440lmXK8SARL8wPHoHk/GtIcMPdt1hvkGv8/Ae7VfSa5bluAek5ZOtQmRyq76DRmiME88zbazyb/WPnjlRqGTz35fPn0PiRu+mJN7erdI9gr4n50KqBzZL/YBJxYxE47pcdrFjasg2eoqyIqiP/H8eP+wWGeawUMqEi2NGUiK/X6l/gvFx6Evqxl4RVDcJRASUPnH5zJkmrXru8tWq/Umzxdc5rHZyRj7y2Re2Bj50zMmD0GohEPHq4YoWgiFlHRwe9//776suf5557Tn0xr7zyihjYCcrKrbVKZggJ4rc+c5iqKDpvUpmqiIqNglMGSzgwuWPiQNQ8VtIXjjxgs4bJzTjBcUTbKBFv6+zTNxMc8RNi0/OcJeKlBU5FsK0dI18XKEoCZ5ETfbXDVhB38ZqDTJSdbHAyRFKZfU9Nq4qO4TXGVXoiwIHAHASM7bDipc0UX1usvohWKgvyXgNFsEF+bobKwY5F1WGzcOstGJ/+OadDDWwbEWxdUpwZRxHs7uD512Hk4cy5x0xQahwuLuU2MFphYBujwii0hOsPRgCK6xk5c9E4FcmEcx5r33cvP1z9PYqPgdOOHKOkrodCGMEha2mEmMfZyQVFAOamQOox1MOAoYJCYhNGFuoGIiLI+IqFgQ1nEFIaMGOMHZEfU4k4F6w9bEq5yr02A0v9rTpNBF/YaQVQ94gNbDjUkPaAehufOXVq0NPGDjqRiCeogY0odW+v+UXbbC52f38/1dfXB5SX9/X1UVNTE5WVlcUk/3a4sr/G41mHlxyVg415OE7Jbc0CQ8RjYMdG+sIy+UDGBDaz/otfu/b3eTnpcs3aiI462fOcC9Q55RBih4nZHGRWNmCz5z9/OV0wjCP/bhU4MzoZenp7Is6V517Nk0cVhrxPjO2aYlWHIZSRiLoUfM4RnUNk3s3ey8iH5cr0gSpwR5K7HC24ojZXCg9EQY699kS4RvQiZ1FyBIeC84YDScT3abJaswY2NtGhcmKdpqLYMz5cawX3IJztuAW/euFcXcbP4N784rmz6Iwjx6moPNbML5w7i+56ci2dsWgspWu9uNGyywqNuiIh+HhijoXDG/Jv3JuctmFktVbt2hhpRe42jGu0G10009dhEA04Z3xEaa6PQmhomy73DewdB5rV90mjvL24zRrY8eYATSSUAsDQ6g51WzBfQB3FredQzJK7eATC6ZQzIcoGNiqGG+np6VFycRjGBQVDpS1mufvuu+mNN96gp59+2ufxO++8k+6//35KT0+nwsJCFUE/5phjbL+P4FyF12iiF4NyqLCSVTi/OtDkxhtE3mwbDfJQk6EwlByHJeI9vf1Kzu1UFXE7UWeOYAcqNuVtQeeRkUdaDZgdUFzsxM37sbk98oV8x0GPgR2uzRAceilaezQYW6FkotGEjQTMAf7SeTcN7LqmLpWCgoJ7gar7FmiOQJ6H3GTDzgYl30fKjH8Rv1Bwoa5QzlrdUdDZa8mxgvPP9TqKQxTFinoEu61nyOfYdajFR6URb+h5zZpDh6v5456FTD0Q+HzGdA/Ix3/55cV65XE7ThOz3SAwN8DADvT6UMus0lJSFmrt7ADqx6D6OfrKw1Ee7fmFDdOqIEXf+D7gtcwt4DBFxXdgpfUb+tgDdvo5ASK4Ly7bTdeeN1t//WRmrXZfIN8d47DzYCv94G8fqnsJSlI4Ui86wVOPJBgiEU/QImebNm2ir33ta3Tw4EH9sWXLltHJJ59MZ599Ni1evFgZw3a477776I9//OOQx5988kl67LHHlNH98ccf05VXXknXX3891dZKv72oGtgmPetuEutWXaEi2Mbomr9BHol8djjitESc++fi+nFqLDiC3WUxgu2ff83HxTjhVNAl4i7XKeBiKpGO0/b9WrRkdOhoCXIkORJppyey2zLtqvI85RzxSvT6oiMPL80N6JQpiFLECxvB3z22WuWPvqS1V7MewQ5uMPHnwAbTSuFDLnCG+ytQRDDacGEufA4Yf0aDjwtDTXChGrgToLAaqG3yjNfmPZ6Wg7PGm3emGGHj1UrhOig2eEzDKZHYucTXPte/wHeca1xHuK6mjvXOOaiYDocA/hSpcdGGpdXBqqob72c3C7FBxo+XhxPDiuKrQtsDoaCo1fZrgYAT6s/PrldG5oMvb6bhANq+gvmTy+m4eZ6CwZgreO+JLj7hkD7Y0cOxHVZ1dTVdddVVqud1qtamAe26brjhBhXB/s53vkMDAwOqDzYi3J/5zGdMvS5e46tf/Spt3LiRDj/8cOrq6hoiR//Upz6l2n+Bq6++Whnc6LX9xS9+0amPN6yBLOq9dQeVdKu8KMenSBdL7CqDFKCJJtHauAab7Nu1nGpIvv3hCBImQ0QrEan0RrDjt0VOPOK0I4Vljar6rkOyYr1Sp8kNf2eICDZyqrjoDz5zpBXnoycRj7x/NyriwljGqEzUciFDgfsMUSwoRaxEV9xEr4KtqXxw3hE5ddsRiH6oweThgJ1JKHLmJtzf3V/BY8XADpVTiwg9zinOJyKSZhVBelHKOJCHA+SYc4tHyD55fJDbDCUCfmcjJd4YoeUkY3xh6O6u9jgE7N6DbAC3tJtXJXgi/546FiyXDvr6ujHaq+6Tnz34sZqn8L9jtPzmqeOKPfOuKlHoARXQsR96edkeOm5ulWttDgNxSIv8BttrcQQb5wDpZ/6yfKfQHZ4W5OEgTxtTnM22rt6wY2TWgaiO6UCzMtpTU+MjLcgNsJfYstdTuX3+lDKlGkEkm9dzqKEqtQJ+8RyIGk44Njs8/PDDNGvWLCXhZon4f/7zH9Xv+qabbqJrrrmGrr32WvrVr35FDzzwgOnXRV71hAkTVFE0GNhGOjs7afPmzaotmBH8vmrVKoc+WXKDDSwkssHo6OpV0QdUxP7NI6t85D2cK4ZFJlDkLdrEMrcExZy4HVGgDR6OjTdMvMnkKIVEsK3B0SYuFBUpXJjHvz2WM32g+yKOYHMBP6ecR5y77nbUzgmlAeeeooiSmV7NeS70SLcLrk9UNN+j58/m+px39w1szr8OrC7KdzkHm1tsvb/eq2hDhNNK9EovHBnGCNadBRai8XzfG53GsQbFQf1rdUBeD2aOD1+pOZbHjX0Aou+oJM7OHXQQsQMbh1hTzd4n1VpBNERWwxlaxsJ4b68+oDsBcfzcCmtqgCrMJx02Wv0v3mv1Vo9cN14i2Dj/7Kx3Uya+ZnudnpNuBePxOTHn8DXG+69tmuGfrMDRhusTakg4tDAXoNge7jF84bowMz/o60+M2tkOJxyzilauXKmMaESwmbffflv9fu655+qPnXjiifStb31LRaaRLx2OcePG0a233hrwORQ8Q1S8vNy3imFpaSnt3r3b9mfhAhvxSprmNeXvdnnxw930yGtbac7EUvp/V/g6LxhsDjnSis0RCil85cK5PkYBpG0ZLudzmoE34MjBjPYY8kYQHnBsXANNdIiU4FxCGo7j4/OH6p/G43VqfJMVNgywTcdePcuv6rZV2OFRiVYsDl037K3HIub/moHGl41Q/F+gY0ChM1wvvf2RX9s9Wu/M3OzA7xVP9yNHbUZX5Jt6jRz9PYee92iBcd19qIW+/+f/6YYS8q9RyRsbf1YgODGW5s5dXsD34UJQiCa5cRxvr95P9z230ecxGEwoRGU2X5LPH4ymUMcISTGUDrhHzH4Wru6OiKDVz+/WHI0xgWME6wQf0ye7PQqAeZPL4npvAicYHCqQscLviTEpL8625RTA5+QuBEqubSLfmZ3/KFoW7jwVatc+nNzrNNmtEUSuj5xZOWR8C9IzVfE4tEl6Z80BOnqOuQK9kYKCiJz2Emou5NxyRLDduFYgwd+uFZ1cNKvS8nvk53qOz8p9GgxjGgXAdTdrormUhETcY7GjFqlSkZw73ptAReX2fDIwOEgPvrRZOVs/d9aMqDkI42V8HTOwYeyOGjXKp6o3cqIRdc7N9S6maWlpVFRURO3t7aYM7FB0d3sWyIwM34ghip1ZqWJuBBugkpLY5xObobDQvucdUQQUnQHrdzZQfVsvTQngkewZ8F18apu79PPTf9Dj6S0tyomLc1akyQhT0lKjfjyNHV5jubQ0P+jiAtIy0tXx9Wo9sMtLcwMebyTjm8zg2uWe51k5marveCR093rGoaqiwLHrBmMK+gYGg76mcXwHUjwLQUmQeykvJ1MZBOmZGREf46ASXBMVF2W7ep8U8bik2r8f61s8BtbkscWmXsM7B6TFdE768zPrlXEIh9vkMUX05YvmUVlZfsB5wA2woeEI9oxJ5QHfZ1SlZ/1Fyoobx7FdWx+YkWW5KrrZ3NlHM0y+HxRWYNyo0OOPNWjHgRbqJ/PXWpMWRRtXVWT78zs9R1eU5NLG3Y3UM0DqmGBo79Aic8csGEMlMeq/bIbRI/KVgf3xZk9+8pQxxUHXQrPOBtWrOt3cvVzf6rlWJo0JP1dUajVjUKwLKULY9z3y07OUzLa2sVMZIcGKmJ17whRlYMPxkZqRTkUhKpY7xd5qT94zantMGBtcyTCqIl/d9y0u3dObNeMatQAmjbOeX49ihYjED0SwJjC4R4wg1cXqa1q5f+EE37CjnuZMLg/bi95NA3v2pLKIzl2Fdk/CaeP2GvnWyn30xop96udTFo2n+VMrKJrEeg/tmIGdk5OjotLM2rVrVS9s/2rekHXX1dUpI9uJ9zQa2gx+Nxr1VjfvLS3x3UYAXhlcOC0tndSvyZKtgkIeuMGYV5ftorL8ob3z9ld7xnRiVaGSqGCD1NjokeYc0Cqb5mWl6Y/FkhQtV6qxuTPqx3NQO0+QqAZ773RNtlbf2K7+pqG5U78Jjf/jxPgmO1jgIB2srm1F/76IXqup1TMOKQMDzl032rg1t3YPec1A49vUoh3D4GDAY8hM91w7tfVt1KhJjSPpp8rH6OZ9kqrdj7jO7b7Pjv2enLPSvExTr4HzF6s5gIE880NNFv2TLyzSZbJ8PPo80OCZB9wAESxuA5iTlhLwfQa1+wZRKTeOY5fWyoejr1A0YP3YsruBpo0uNLWh1fP3+/tDHmOOpmKprms1/Vn217TaXr/cmqNzMj2f42Ct53OgSjJUOsijz6DAc0O8wNWtd2lV/0eX5UZ0vJD9w8Def6iFKk10d9ixT5sr8sPPFRmafbpJUweMq8yn7s4e6u4kyobtpN0bgcYXz6PYGaTkr324i07W+hC7yeadHlk2JMFNTcH3p5yDi3vs6JnO90BfpxV3G1+Zb2tsuS7HoRrz92kwauo9Bick04juN7V0mX5NM/cvagn8+92daj5feuwEuvvZ9bR5T5Mq6HvzVQtdy3EPBFIZPt5YrX6eaPPcM709nnUB64Ob80lTWzf9+cnV+u//eXsbjYtw72IWN/fQeF2zkXHHDOzZs2fTyy+/TAsXLlS/o8gYOOmkk3z+7plnnqHx48fbNoCNoO0XJOiHDh0aUnDNGE23Sp/B8IxncOHYPdbN2sJiLP9/yYlDy/tz1WsUK4GBjZuytb1HyRy5Yif6kMbDOUMxKI7IRPt4WCKOHKNg7w3JG0AxNPwNziNAfm2g/4lkfJMd5BHBwEYuV1lhZOeIi9PBaHfqfLNsPdS1aBxfLnKGazjQ33NLLdx/kR4jvxeKQ7l5fWWle465w+YxIwq7X+v9ivwyM68RyzmAeXPFXpUrN3VMkSps5n8cfG20u3iMMGRBYW6GiqIHep9cbbOLc9UFyaaDcjpIA7m4G/odz51cRm+u3Kfn1Zv53A3a2oMxhVMi1P+w7BGFrsyeUxUdhXy/IMv2ODg9R3MvbKy7eN21mnwZrc3ifS2YOa6Y/mP4HcXCIjlmzqtvau029TrcOsrMXOHf7mzq6GJLa/DiWZXKwEZ0zkzl5kip1u5n1AkJ9dnYybG32tw9ZnU+3rDTcz2Oszm2+VoBWOwdIz2+Ji6wW5KjDGyoPay+Zqj7F/PVs+96ekuv3Fyjvx/mtVvuW05XnTHdp0+6m8DRhkKHcAQhBSKSc8fzPPZPbs4pH2+q8SlwumJzLdU3dUZF8REve2jHVtTLL7+c/vWvf9HXv/51uvHGG+nxxx+nY489lqZPn66er6mpoX/84x/0y1/+Uv2tE0AKDoMercAYVCxfsWIFHXXUUY68R7Kyr9bj/TthfpUSjO6rbdcrthrhSQWLFi94nAvERmWB1l4k2do3WYGjRbzRC4R/oSopchZ5ETErbXnCFhhzsJp7jsViW11hCo85WcCvm/tgu92mK8JiXpBYY9MENWSwStjBe4bHpsgZoh5vrtqvfg4W2fL2IXXvGHmOLgtRwAvFGFP85i+nQCse5M/CuF80a4RaO7iVIxve4UAFaQCpbrjcPWPRKjPgvuTaIvFU5Iy7TaAuhNGgmW2hd3ismDy6SO8/DQMWqoVIsDKmGEvO1w9WBMwIxhyqPOaUhaMtHdtiLfcasl04qNxGL/YXxjiB8cXOBicKgDL4jH9/cZPKv4aBNn+Kb90js+jV27V7OxI4QDGyNM+xvQCDc/fS8j1D9sFwpsARj/n19sfX6P3a3Qat0bjQYaSwisDtffInWnHGC46bqAJ0cDpz+shwwTEDe8aMGXTXXXfRli1b6NVXX6Xjjz+efvOb3+jPX3HFFfSLX/yCLrjgArrsssucelv60pe+pHph//Of/6T169fTt7/9bZXbvXTpUsfeIxnhTc7UMcU0UWulgVxsfzhKjYm9VKvk2tjapbe4AEVRlMqEwrtxjX51xDZTBra2+deqN3rbdMWHgyKR4NY6iG5ECirlAycr4bOBbXbR58UuWOssY+V05/pgu9ymi50MNhfyfdochYqpyI00QyxbkCBf+GcPrFC58jAOjgwi0YxGt4M6Lf0E8slgGAuuObk5NRYOhMGVprXt5GrmyBE106e3ub3bp7J2KHgONWvssAMCiiMnHWuRwgYqnN1I40JhUShNZoy3VrE5FsDw+ukXjqJbv7CIfnDVERHnqRpbaZndz+D8mW1j+PmzZ6jWo1+/ZJ7eZszKsXGOtrGziluw84B7pQcDjsgUdjg4VEkcxuafnllH7631pL1ceMJElUttB3YQoNBhpHB9BtR2AE46OvZUe+49qA6PmO7JG64ozqbPnj6NbrricH3/sWHX0D2zG+zS6lkYnUJ24b0EIuLc+cYNth/wpIrMGF9CR87wrIUrNtfQcMLRleXkk09WX4H42te+RtOmTVOGuF1gOEMWbmTx4sV055130v3330+PPPIIzZkzR7UBy8qKj96W8QoXwEFUYe6kMlUgZt2O+iFyJ57YsclhjzIbhvycmQqf0SCWm2tUBgf5IYxl/fi6Pe2l+DxKmy77G1GrfXWjFcFmYx2RMjN9XL1Gb3rIa4dbbEUCt+dw28DWDUmbfbBZHj5Gi3zG+xzw2sf7aHd1q7qOvvapBZSZHjjlIBrHyAZkKAMbwBjB9R9Jr/JAsBoK1dONVaYR0YaDERFujtaGi9qxbNrM/dZu0lFQxy26HGzN5wR8vtCje+UWT7QHXT7cVps4Ba4njqJGCvdJNhPB5pZN3GveDDjOT588tO6MWUaW5Kg9EIp2OWH4hKJZOwfBCq8xcETiPkMbsf21bVSUV+qIsYnCe7h3v/Xpw5TBZBf/IE0k8P4Jn5cNbLM908OBz8vKkSvPmK7moGPmjlROJOTfn7t4PP3zlS1U1xT55zCVKlXXFlHbOyPGdR9rUH6O85W2se9p1IIfYyrylEPisTe20Za9zWrchsueN2qzthMRZfTRDsQpp5yivgQyHS1rNsipEExA+y30bIVHy5iLx95jGNdc/ZZ7GHq9qnFmYPfGMoId/JYybqyxyYRkJtz/CIEp1apFB0prsAKud0hZ3ZKIY4zRpipcNIdVDZxr7Wb6gy5Hd7kSKlqLRXLM2CBymymzRKvHdCBQowJ8askUWjy3KmgBmWiksnDtjHAGJKoSR6IyCB/B9hrRWFfQngvRxgP17eENbE2WWWRifeH+umajWNwDuyLMMUQbrKUwZDBvcJ9lJ2ShiQg79M1EYg/UeQMG0QLX8pZ9zXr/bTfRAx0m7gW08fIY2O0qdz9SWB0weVRhRMY1KGGFRoTKMxidfK8jLx1AFYN536yCwcz8gOsJaoUrTp/m8zyn3rAj003gAOU9SpmJYn/hgKIIqhgUOcYa5Iaxi/kdFOdnqnag+BpdnqdSF9bvrKejZ0WnvV2sSZwmcIJj8MSUnpaijD7kS+EmQxQDkWymp9djCIKCnAz9RkQ7BKNEJ14k4mwwxCSCrRXKMiMRhwOADXKMQSxaPiQ63lzFyBZqozSW87qdAIYeO9LN5GHrEWzN4An0es5JxDU5uoOS+EDw+bQbHeWiRdgwxnsdBmz4uHoyp9wEIzoR7PAScXUsrLRwOI+Ue0z7S0lHFJvfmHoj2OHXF2zgjOke4ajWNtBm+3FHC/RfZvkpt+VxImqViFjJweYNfTQNbL63InXyWjOwwxtYfP3w/ixS9HPrgDKhRHOMt6AYYQTyZBicHKDA/IB9lJMycbRuM85Xwca+vqXT0Vz3QEDtA7D/ztAKh0YK7zndSqdkp8wow/04b4qnJsPabUP7zicrYmAPQ3gSgqwOchrk4kGGBiAT949ew6MOryCMbADjEMV8OJIdPxLx2BU5azMhEfc6APq8BjkKDTkgaRpuOCUR53sBkTzcB05ulL0GphkD21vJ3E2jDG0I2Rvufg62/Qi2RxanGdgJIBGHHA5FCzFXhpPIuh1lx7kzKxHXUxlci2D7GgSs1jFjCOsKKRM52Kw+MbvB5griwTbQscQoq8eMNHaEM5LrRMNODrbZYohOwM4pt+caRGb5HJhRC1otsGnaWHLg3MJpgjly0FDfJ5KUPKyzmPPZwcaPRwp6oRvl58Ec/HAeY679zSOr6OcPrXAlp5mj/SyvdwK310mkFQDjWjh/crluY7iZ+x1PiIE9DOGoXY7BGJwzyWNgQybOtHZ6Njj5uR4jEN8BDOu2zj41SWIDwIZ3rOHoXyyKnFmpIo7j4wI+0eylmEygHyhA/hucPU44m5zGbAEpGERhc7AdUmewIsX4mm5hLOZl1csP4wr3CXxPwTY5gd8zNnMAb0JxrJDfxXJzA0OfX9torIU6FqdzsHWDxy9CnJtlvhiZXuQs17xEHOkYkD6GA/MGsHJtRQtj1B/H54TkNRHhOTmcgw7jzfme0VQkRMuZh/0WorVqr6XtwczW/3BSjcJS7EiAQcxOAjOOEzN1U7A35XvEibHAfoIdhME+MxzhyC0G373nA5WzvW1fs8/+2Sk4X73YUQPbXecQq7kmVHnVN5NHF6qxx/rE6S/JjhjYw5BARgVLObgdgU/+dY5nQjRKxDm6AKPbychfJLDBgM2127Idf3gxC2WoeXNS+3Vpc7gIk0BBPcjoj4uNB6p92qWjW6sg7kIld7ORBBgFfLkGiypztCTS1k68oGKjE84QjBT+LBgjM0ZPIIkecu2t9GeOxKh3WhIXK6UNS1bRAztc9XV9Y+pgFXFc7xxB95f3syHMLQrNSMTNRLBxf/AqFM6hhegJb6DjTSIOyoq8G2kUVBquGJUeoe5lNkAwn0XT2Z8TJcUcOw9wH5iZC/W6Cg45zTjQ4lStHatqk5B7WO21/FugRupQwJqFcx3KqJ2tqT6NcGFCN8afpf/x7hyCg4LTWyaOLPTJ/T5+XpX6efmm4VFN3HUDu6uri9rb24d8RdsAEgIZFekho22c+8ReUzawPS0g4qvAmXHjOugXqYsGepGqELJb/Rx39eqbYH8JpWAOGIjc9sdsX91oR7BztY1OuI2EcZEL3gfbmQXR2A7M7dQE42exetxcZMZqhJHPE2SV0ZShHeCuDCaqGLsd+dIdo1bkpA4aCZyzic4T/gV0vJvr0NErjB8XOSsJ0/tXT8kwzK+hgPGP7Qda8JjJ745lBHu45l8b7xOMFae1BIKd1Thv0Uy3MjrM3aRBcyCYlQg7KRHHPp3nE6eKYeU50BqQpeDssHNK4WV07qItF+aVYCyaWan/zKldnHriJFyvx0m1o5MOiUD3Ixzq6WmpVOG3fqMtMDgYwZ4tkXBFe9TR0UE/+tGP6PXXX1c/B+KVV16h8ePHu/H2QhjaAxgVPCkj+os8TUSl9RxrfwO7o8ebHxdHEmdsmFLYwO7pj1prE1+Jb3ADmzdziMxwBCWchFMIDqpLoy3SrkMtdPg0T6/KeGjRxXBUPNxGh6PSWKSDLeh6/n6EjiO9grjL+dfG/Di8Jww4K8443qhgk2MFYw47Wpo5VRTGbAVxM/mybhvYevs/E6qMHF0i7txGi9urBcqd1/tVh3k/lsUCs9cN7mG8brjouC4PL86Ny/oXM8eVqLV5kAZp/hRP3uJwBPcyr+eY94LNWd6WcNF1VvP+wsl7J1QEk3tIR1MijsABq4/MyNPN4ES+tDeCneH4nMr51+Ek8WjNdtKC0bRycw2df/wk+ufLm/UCwNFWR1rFzTXIe/6yh+xnOI8fveMR6UZUO5lxxQL54x//SG+++SZdfPHFNHr06ICLWGlp5O0DBHtwxVifCLbBGMVmGBuhVj/PGX9H/jVHF+Ipgo3rDIswJg18FUXpfeFdZ0FGlgkDu69/kPZqEhpuWyFYZ8a4Enp//SHasLORLjohwnvBlRxsc1I9M84Z5yLY0emBbXTcqfvRolxRb6NkMe8PjkE42nBP4n0Lo6AAxmZvn3Y/Tx1TZHpjzqksTht5uoFtYkPsjXb1u2BgD3U25JiUiHMBJMjczaYIqPWsObxihJ03laXxl3/NsvU7bzhOrSlW0iOSDd/1vC+o2sCrBouuszpaOdhsYHNrSqdqf5iBo9eQ3zvV7cRRibj2WZ0sOKerp0ysPVedMV197alujTivPBg8NwfrMGIHvSuJC0rPUBXYS4uy9RZhUBJxLZ1kxRUD+4MPPqCf/vSndPbZZ7vx8kKE6FE7g1GBix6LOWSVMDqUgT1EIp6uy/dqGjviLoINOGIWzSrCHFXENjnUIoRoGiRN2FzyJhR9yAV7cA4UCmpgobCzAfAW/ItdkTMzUWXvBiKyTRMX/4qWusOuFE1fpG0swPhsPb2eImnRYMfBZhVlg8e+yESUyShjx0YjXJ60bQPbhKTTyc04c6AueP9yb7/qXlMGtpXCPnp0PMxrI3oSrwXOmGSP7JhFN7BDOIC4Bkd5lA1sbw52dAxss854vfWeA/e0V57sXLcTJwxsPaqrvZaxQ0uk6B0YLDh39eBTR6+a10NJy+Mjgu1e/YBQzvHUlBS150WA6WBdR9Ib2K7M4hkZGTRp0iQ3XlpwAP8CEf45o5BW+uTyaZMHDEQ2AriFTmFefFQQZ7Ji0KpLb7FkIq/VuAFH0YrhnGMXKTh/OOeDhk1IPFYRD7fRMRXB1jYQiMwihcOJHOzoyiitRrC5iqv1TbM3Hy86cwCrUcYbCrq4lZvutIHtTftxLvISqr2at191uAh2jyVZrOe1zUXHuWaDODfjH13tESLSdkhzmES7YB1HFBGUcLPeg9UiV16JeOSFHvUgi1bo1gn4+Mz2rDezZjrZPaKxzXpbLJ5HYVw71Yub4f2Dk90EdMe3w90jzDgoqjSZ+MGG5M/DdsXAXrBgAb388stuvLTgAOzB95+w/Q0CbxVx70aNf+ZNSjxGsEFUI9jd5vNajTK3uZPKHPV0Dkd4EWy02Q/bm4PtvKPIbC6c1+gNUYHecG1FIuuKvkScnXbmNx04H1zjwU6fYifnAOSJvbv2AL25ch/1BDnvLA8fGyBiGwjc805GXCIxsL1pP97uEZEA5w9X/w7UIUHfXHf3hdz8cwTbShEyPToe4n7De7JDZNwIcW7GO2YUMDVaTn20HSbGOdTN/YbVPsg858LYC1UczgzeIItz6yMrTcx0EginGuR51Mk5v4lz3i0Y2FCA8nlnp4RTdLhpYLsgEW9h9VF+4Lmbi9Migp3sODZir732mqoODkaNGkW/+tWvaN++fbRw4ULKyRm6STr11FMpL8/chkRwDmyAUBgKTPCLuPjLBf0l4rxpg4eKJ0czlWqjSU4MDGxvBfHwt5MxIjO+MnxBJCE0cBIdrO/QNyFx2Qc7zEbCK9sOlV6QqgwzbJpwbdtdbKNZ5Mxuv032gMNgsuP40PPLHJgDnnxrO728fK/6efPeJvry+XOG/A23JBlrwWDDWGPeiHkEW5vbncodRHcJ2M3wGwaqesv3Gf4Gnz/YnMnHY6XGh7fHdm/IaCDWLtxLo8qTW56YDISrDo2xbtGulWhL/iHj53xStLlzqsq2v0PIah9kLpapoqndfRHN9W4Y2LpEPAIJu79T2qm+zjhnumLAgnqGo/yd3Z3qnFWVkWPwZ+K9bbz3wWYHa1GQuXs4RbAd21XCoN6zZ4/PY//5z3/UV7Aq4mJgRx9EnuHVxKTr7/H1j2B7i+V4bxT/wjnx1uaEPZrRbNNlRXY7a0IJfbDhkPp5jImKw0JoWIXBES8nWtY5Bb+mExJxLviD1/Jcb/aK45mJlrvi8LKwmbKTfxtQlh5hdBjn+vUV+/Tfl2+soYtP7PT0SE1NURI4GJRcT2FilXkDW216212SiFtoq8OKJPRih0MiUseLXvwyN1MVnAvY6SHFY2BDwhrcwGZpaoajEnGuII72MdGqMC/YJ1xkkp1xuNadjPBZmd+Uge2SQx9GKEehzRp8WCsQTcV9gDkskv7JfB/mOygR53kpkkgvqwZZpu9U2ynuXpCitRm0AvbGqB3C+2anHCxuSMT1fbKbBnZ+VsgI9qH6DleKfMYTjo3YQw89RL295i+skSNHOvXWggXYuJs+tnjIBsgoaUVOkR6lNhjV/hseJz2bTqAXg3K5dUZAA8lEsaLDpnrbroypEAM7UnjzYDeCzbnBTnqHredgm3PQZOsGdr+r/dqdRC+4Y+GY2Ugrtum8c0Iu+N7ag3T/CxvVz3BEQu62aU8TffeeD9Rjaakp9KWls/XcS9zLZgqcOXmMTlQRx3FwcUtseLMyI4sCNreHlnarzX+mp51WKEeRf/0PKxJx7gwQ+Pi4t3Z8OYaFwISrDh1ojxJN4CBCBN3JPvJGGrUe3zBKrRRDxNrDBnYkuBHB1p3iNtdsn3XMYYk4R6+hzLRawZ/3xk5KxOH45HaFrkjEHb5uYbDzGBQFWQMqS3KUAwPXJ+6deAvSOYljI1ZZ6W26Hoz+/n5KSxOvcSxZva1OfT9ublXICABXAoSny2hU+0eV4u3mcDO3xIm8VuQf/fjzR6oITiw87slGida6hDciVtGNWzcl4uEMbD2fLPQxOLGJsOIMcraYivmFnI2gwjx7kRcnJOJvr96v/3z8/CrVIgcGNoNNz2NvbNOjHPOnlMVNFde2LvMRbBi82DxjY4m2jFYq5/qz7JNq+st/NqifQzkbEF3DPRGq8J2djb23BVhv2OJpVpwhQuwIZwi0a86kPBfk2fFQ8yVQmp6Tzl233t+MgQ3jCtF/yOwjVWI51XaKC5zZifqzM9DJVl08fqpDjZMS8Sx3rlt2sEKplB3keOEoKi/OVoVMD9W3x50N4SSu9YJYtmwZXXXVVbR3ryd/DVx66aX0m9/8RhnaQmzg6MZILQ/CCG/IsGhVc69QeJsMEo7yohyfjVK8yey8xYOib2CbnQBROXz8SCmw4wS8ENqtIq5LzWIawTZ3DE5USo1FH2xgJcKjR7BtRhkj3fRCtnag3iMl/vrF8+jMRePoqFmVdNoRY/W/QXSjvqWLdhxoUb8fP68qqscYDGxY+fowmxPKm+dIIi9YV9i4pjDyymwT10SrVnTNWgQ7fIVyLp6XzJu6ZCLces7OlHwXilSawcn+yyHzby06gJ1qvwenm9X7MByYlzg6bDe1a2gVcWfGwW7+te886ryBjevMyYK42Zoz32mJuDH/OiXE8bJMnNfZZMUVA/vjjz+mq6++WrXrKijwGhLnn38+Pfvss3THHXe48baCiY1jqKJOxoI3nKvm3/qiwlAZ1slJN6GriEc5r1UIUEVcKwRj9X6wUqDOKmbbpfjnk7kZ9dQLqkVJPWHnfgwnMw7/npGdJ0Q5sbHB/gC91nmjcMlJk+mC4ybSdy9fQNeeN4sKczPU57v81KmW+3W7NU+xAxWbMbObciciL5/satB/RkRqwRRvKkzQ/sFBNv+4VziP3ErkjP8WefHBaOJrSyTiCUE4pyJLxDk9INrYUehEwyHKa0+k84sbEWzMpyUFmZE5xv2CGk5Jnq22RAs4jzrUkQGwyodb6Ma7RJyd40Vh1GdVXOhM60aUrLgyK/3973+n6667jr761a/6PP5///d/dMwxx9CnPvUp+uY3v0mpqa4F0IUg0Y1Q+Rx6T9TOXr2XaWWpr2SwzGBgx1uLLp++mVHsg22mCrTgDsUGuRnySK3kTeHv+X5wY+x4k4PKpKEqJvvnk7krEdd6tkdJIh7OmApZKCvCCLZd7/zB+na9RZhRvoiflx43Uf/9iBkjbL2+7zH2uWJg5+WYj3g4EXnhMTtyxgi67oKhldYDKzsCjw+cG3xfWtnYc4cGRFHQLSNQkTVvfr9IxBOBcM6ytjiRiFupMREN5z23jIq0J7OdWghmU7sgEY7UwHa6D7adFl3RiGA7nU7oloM3XAVxZpQewU5uA9sVCxfVxNGGKxBTp05V1cNra2vdeGshBCwXwr4rkEGBNgMso1u3vV79PGV0sc/flBV6DWy7Es7ki2CLgR0rUB8gPS3FVtEU46bIDYMTeUhs5ITKNzW7icpy4Nrmzxy9ImfWN6AcgSyyuamLdA6o1yoTo9K0W7jVJsVKiy7/eT+SyIs3bz7TfG/0IE4XlqXiereSgqQql6ekqPoWwaLY/LiV9l9C7Ah3L+s52DGLYLtXS8HzuvbmaydysI0FNZ1OqeDX45QNK0DhEqpNVyi1mOkc7Igk4k5GsN2pEcN7CRRRgzPSKXT1WRjbYFS5ZmAneQTbFQO7vLyc1qxZE/C5Q4cOUVNTk490XIgOfLMishYoP4Il4uiTjQ0TJmm0lfIvUPCVC+aofMSLTpxM8UZsDWyRiEcbXMccueLF0eq4KUM4QLTLiWPTIwkhNjrmc7AdlIjHcR/sQO0Bo1nokKMqnH7gBm5LxK0Y2E70wraS2xyujZoeNbMYlcQ9zBu7YLmd+hoYI4NMcNjA1iK0bvSgNgPP727nYMfCwOZ7CJ/R6QiqbozaaGkFJSbb0P4RbChfuLODHdhJX1Jofe7nVmZuRLADpXRGgnGv6uS165WIh14HOAeb07GSFVcM7LPPPpt+/etf0+OPP06NjY3qMbTwWrlypZKOn3jiiZSbay1nTYgclgsFmyz9NzQnHTYqoOQW0sjLTp06pI92POBWZMipPtiC87A80KocjmXLbjpGzGx0uk0WyXNSIh61PthhopX+QE5vx0g0wtXY7ToivJVkvWqdRIl8saFrKYKtbXY579nW+1qIDOtGSRBVRyR5n6yqamrtiXpRQyH66zlHsHNjVeTM5f2G1QKqThrY3nxk5+dBPR3RRrTXeK75vBgVaJGMBbf7tBPBRlqOE4XloiERR7oTWk06vQaF64HNwMHJTgO7LVYTAVd2WZdccgmtW7eOfvjDH6ovFDtD5fCBgQGaMWMG/eQnP3HjbYUIvWHGvqnYBJ29eHzCnVOvjDb6fbCdbKMgmId7WFtdWKPRE9rYWz5So5dztCNpRRL1KuIWN6BwknB0wm5hnUhbkERS6CbWEewGrdifMZXHtEQ8AmmjnjdvxsA2G8G2oWDwqFlaA6pZPNJSURslEuGKMfE1FKuWl+4XObObgx25seetqO18OkUkhRW9bS3T9BQsqFegROvpHVD3eIGN2A8c3bxO25n7uYsBXsdqPZhg8Pi5cX3j2oUCJNLWZnZThUoKs6ijtk8VqB2tScaTDVdmJUgjb731Vrr88svpvffeU/nW2dnZNG/ePBW9Tk9PV8a2FDmLLuFuVhgDx8wZSZv2NNJFJ0zSJ4xEIhYS8WgYaoKzraCiZWyyFDW0gW2tTVck7aeiLxH3bkDx/qFadxiNPDj47G5QIi1409DivoHtRD59qGMvtWJgOyER77AgEQ/jdNIj2DYUDHo0PoD0FNJSKCTUMchcnRCEu09iXf+E1554k4ibceyajua6EMGOJF+ZnRn+AQ04IXp6e+w7VjWnHF7XjkHLyhzeaztRBFhv0+bC9c0GtpPXLiuozNRnKinIov217dSorVnJiKtuP0Sr8cW0trbSww8/TI888gjdc889NH584kVIk8HADpZ/hs3vNefOokTGqWqSVpCoSGzRZXohConFatzMRBLMbqL0zabNTRO8+1zOJFpqCzam8L6hKqkzbBhxVNXWe4bpnRsObvmWkBHsFs+xl1rIIQxllJoBhmuThbz1cIqTSCLYLBVm6XA4aamQ2Ot5rDt4uNXuyKkc7Egi2HsOtarv5cVuGNhcWLHXsXOCeb8lgr1fJD2wQVpqqjomHB+UWE4Y2O5GsPGa3Y6pL+C89NbiCH8OS2zWzkkkoqKr2bhxozKsn3vuOero6KDi4mIV0RaiS2eYHOxkwL+aZLiImRNIDnZssZrnOzQHO8396HqQ/HBj6zyzRc7sSrr4Ok2JYpuuzHRPJXUsvrgnwxnYbFwZ01Wimd/c09uvF05yt8iZOznYbGBbkYgbFSB25syapk7lQMF9aC4HO1wE23oPbIarSQeqx6C3qMv0SkuFxF7PYx3BjlabLk6rcFI5FQqsMet2eDrJzJ8cvKe9XSJRzQRraxmps0MvcBbBvI/5B9dke1dvXOdg+zjsHZKIw0Frpb1iiXae7bZqSwRcs7R6enroxRdfVNHqVatWKYP65JNPpvPOO4+OP/54lZctxCiCndQGtmfSwIYeeTBW2rzYJdZe9OFOPEvEw0USjJsBs0XO7G7m9Ny1zLSoOJ4A3gfHjc+PzQJXfA9GpAXOjDnYff2eOcCK1FyXCWY4XznX7Qh2/8AANWrFvaxIxHnzDvW0GZWBP9UNHer7iJJcU9dVOAOb5eZ2Itic1hRog8ut8mSeTsz1HM5IdDFh8BgbW1kx6uARrSJntiPYNvtg761pUy2ckPIxrjKfnIbndyhNrDr1gkawI5xTqxs981hZkf3gHxQ09S3dQR3q8VJF3I01qEWrw4GxNbPmFml7ATut2hIFx0dt37599Oijj9JTTz1FDQ0NNHr0aFUxHBXF0QNbiB1uyk3iBWNkDoaI2wa2sXBOtKKCQrA8X4sS8SjkzoczJtg546nqmerqgsjnJ9ryWEQ2MfeYOe5IKkgz/hVl83MsGNiG/Gs3nRBupLKg0BiMDlSHDdeHNFC/dvwvjFC7BrbZrhJ6b/Qg92tjBK1yOHLHKoRYVtAXIsc4V+FeNhrYxnsnVk4Tnmvck4jbu2a9Odj2lHy1jZ36Pe3GPMjjhXgnDHkreyddeea3j2Uni931EU4FMLbCvkOBz3ug+ccOulPQkN/t/LXb73AF8UxXlYeJhGMrDYqZ/fOf/6R33nlHRavPPPNMuuCCC2jRokV0+umnU2am85UIBWsMhx6g/tUkC13uJIYImVfim7znNTkj2O5vuMMVm7ESodAl4jY3c95ifNG9Tq3kenl7INtfL+A9xxfuTYyxlWh4NCqIu5XKUq/Jw3HsViTQ3K8dm0Jcp1Y/u9433KRB7K0s3xcyB96ORD9UBDvWcmLBOriOYQhg7oJDtDDAeOJSRypKLGDDpztOi5zBaYa9kFWnam2Tx8CuKMkhN4CjBDPUoPYZLRnYhiriTkjEoZrCvLdqa536fcyICAxsPUWlNwEi2LyfcMrA9qwDxSbShPydQMmKY6OG1lvIrf7d735HS5YsoZwcd25MwT7DIQfbWE0yGoXOjN4/2bjFBn3D3h3PVcRDV8E1s8GIOILNDoUoKy30iKWJ49aLnEUQwVbvmZlGbZ0DlucAbnPlvoEdXPoaaQVxK/nXDNYEZWDbcN5YLUznVXUMdS5gQ8n3Srh0gpC9aANGsN2ryCu4e68oA9tvfjd274hWyksoI8WNmi921yijKgXqIasGNuoqgBHF7uzjcWyZGNeefrUumek+EO6c2OnM8I8XN9EbK/b5HNfYCAxsr4PPWYm4K0XO9HaWzhyrt1VjlqV7pzOKLXWjjWNuv7lz56re17///e+Vkb127VqnXlpwiOGQg+1bRdj9G5cnc1XMKVUK58QCKwZctCXTYXOwe81H0fk4eTNnlVhF8PS+xyYcIE7kYEfijGDDLNL3typ9jVUF8Ugr8dsZM6NzAfJQI01aDjwi6nY2laGriItEPBEJZjjFw3jyXkNJnXt9r2UnairA+abex+K9AENfj6bakODWNXvmkgqXDOxI0mSCjbv+eiaLdtU3d/oY1+D/zpwe0dxvV00XEwM7xhLxXAdaycU7jo3a7bffTjfeeCM9+eST9Mwzzyi5+KRJk+jCCy+kri7PzeoG6Kd91llnUW+v74L6la98hS655BLX3jcR0W/WJJaIR7sXtsgOY48VAy7aGzTOMwpWbKbLQo6VT96aDdlfrK5VK/cj52BHUkXc5z0tVkiN1jnykb729Jmqvu1GD2wn8uG41Y7ZMVMRR5aHIrpmiN6z3NxO9NpYRRyGO4wT1DYYMrYu5DMK0Z8/9LkzhooERIoRtIa/E/exk87aSHPMcU8r+bONaCqnWEQ6D4cC624zWe9bzeclUB9sK07CXQfR1MvL5adOpePnj6JI4HnUjqPSH6Q4sQPSnTZdLhnYJtey7DC1OJIBR0dt7Nixysj++te/rnKxn3jiCbrzzjupr69PRbWXLl2qKohnZTknv9uzZw/t2rWLnn76aSoqKtIfh1xdGKYR7Cj2wvZWEE/ucxrPsJzYajVKo8QwVkXO9E2/CYmwb96a9c2cLkePtoGtnQMzipJIeiAH7hnuTHTEVemrQ/NUa6cm0bNx7sJdp6HgaLHZyI+qLJ+V7pGD9/RTkYMKAmM7I0SRMtK954I/m8zViUWw9oTBcnGjCXdJgJHQ5XctRwrPC+lpKZY6IfiqObr0eSFecn8jVRoGS/XwOlXNvd6uAx4De8qYIrrw+Ek0Y1zkNoOTsme30w+dbhXZrKmPzBrYudq1BUeCvzM0WXDl7klLS1N52Piqra1VEW1Etl9++WXKy8tTj99yyy1UWGgsWWGPrVu3KsN69uzZjhx7MhONSTMeyIpiboext6oQG7jdA/KerEzUUcnBDldF3IKR75u3Zn0zFytJpbeolYkItp7PmxGTzUM0o5xqzmh3LoLAeX92ilhGYmC32RgzRHo8+da+79cZ4TUaqsilqI0SvUtEX5D5LLZrLwx8NrCdhFOe7N4L5UXZtPtQK9U1dcWVNDnSCGqwtqhWX29Pdav6PndSGc0cX0JO4GQEmwNimM/sOFjCYSdn3ZxE3FoOdiBnaLLgusugoqKCrr32WnrllVfowQcfVL2wX331VWpsbHTk9bds2aKk6EJoBgY8LViGR5EzkYgPJyALRWsiq1Fs74Y7PSrRl0B501aN3kiu7Vj1a9f7d4cx3mCo8THalQjbzcezoyiIt3mKI8l5NpwTHA2yWsfAU6m93/L7Bkvr0KNTETg4vFLRwK8da4NMcEgiHifqMacjgUOc9zbnIi5QxgXLzILaCF1R2CvaNfCCBTWszqdtmlqq0EEZfCSOSn94/nJrDJxWenKRM7MR7NTUFH0MkzUPO6oz01FHHaW+WlpaHGvbhQg28rAhS9++fbvqu33NNdeo9mCCF+PkP1wM7GhWEY/1Ij+cgUwPhTWQg9rU3k1lReZyUKMRAeHXRis3GCP+fdmtyra9eWt9iVPkzGQ7jurGDr2Cd6SKELsFXKJ5Pzu9Mdfl1Vqhr2hsDDl6jTxUK5HzYPl3eo/bCMYf/9sSQBnA59koIxfin2D1FGLlMIyWQz9SNQ232OKWW6bfF9X9tZ/drLhv97wFm6OzMqy1nero7nV8P2xsvxgpuorApfnKyWOFcpAj7lbqieSwIi9J87BjstI4IQ03GtgocHbDDTdQeXk5vfDCC3TVVVfRfffdR8cee6yt10yP81yANE0uwt/NwMUSMtJSk77IGX8+fGa3x7Kn3xtxceq97IzvcAcRTxjY2PCbHQdj5M2t6yQv1Wvs9PYPUk52qs/48n0J48TMMfCGB69l9Zg5movcvGjOcdw6qaevP+T7cuXakaW5ER+fPgf0hn7PYOcIx2z3GMzev7yxw+bEifHgwkSF+ZmWX4+jz/j8Vv6XI97ImbbSaiw3KyPgNeG9H+xfo/p57fc9r91alefcCMaWkTk6euRkh75WcK87PZ9ZGd9g11ukcAVxvL6d160qy1Pfqxs6LP1/T7/nfaEKw7l1qwUaV/zvDbMuBJ+jfecIXmfMzGEY145OzSGZa32+DAYXhYMzL9LX7La4N7AKny84riJ9fWOleqw/SGczew00tfVQt8VrIFHm54S3tO69916Vg52b60m2mj59ujK67777blsGNmQLJSWeiSneKSw030Khucs7KSXK57NLiXZeBlPcH8uUVM+msqgg2/H3sjK+w52KklzacaCFsIc2Mw6Qa7One+SIAiopcu9cIxqL98rKyfQ5NowvN3bB+5s57nzNO5yekW75euP3Ki3JjeocUKa9F5wCod63ucOzSI8dWRjx8enjmZpq6bVgkIMR5QURH0O4+5dz1VLT0yJ+LygkeJMzCuevwFol8dJiz/rZN2ju/mH21Xfqn8XK/xVqfcZT0nw/+4Aq42f+fghEgXaPpKX73iN9A564XHlpnmPXv8zR7lOsVcUfJN/1HOu753n714oT41ug9f1N9bveIiVNc1ih4KOd152flaH2s9WNndTZP0ijyvMt7xVLS+33hA4H9ky25mjN8Kwo872PR5R364apmddjh2Rleb5j41apnTs48yJ9zZS0eltzq1lGaOstHByRvr72sZUqoczCNVOgCnK2U5qN/UwizM8Jb2BXVVUNeWzWrFn0+OOP285VbmnxSBXjFXhlcOG0tHRSv+ZtDMehGk9Bh6yMVGpsbKekZsBzTppbu1z/rE3Nng1mCg069l52xne4k6V5P2vq202NA6IhMEpAd2cPNWrXjBtArgwDu7q2lbJSfce3Rau8Odg/YOq407Vc87pGc5/TSIuWIzXQ2xfVOWCgz7P6trb3hHzfXQea1PeSvIyIjw/nEzS1WJsDWGbd0x36WJ24fzFngIamjog/L5QbnOLf191Ljdo5N81Av60580BNi66ssPJ/6VqAw/+z4/09x2PufrByj7S2e+61fgeuf5mjY7+eO3GtODG+qSl8H1ufk0NRr6XM4Hq2+7qzxpfQ+p0N9May3XTOMRNM/Q/WKTaW3FwnUgY957XR4hzNxRx7Mc8Z/q9Hk3x3dvk+HjSCrRnYfT3h/94svV09uvFu5zVrGzvp90+soVMWjlF7FDf37D3asWLNi/T1a+o0+8LiNZOhLQS19W2OfkY352e8rtnIeEIb2G1tbXT++efTj370IzrxxBP1x3fu3Enjxo2z/bp9mocs3sGFY/ZY27VWDWiPkiifzy5cRRr9H93+rLwhz0xPdfy9rIzvcIcLwWA8zJwzLnAC0lJSXD3PXC0aRaiM74Px7bR4/eDvrHzOQDlduD+ieV1lpKXo7x/qfQ/VezaU5UU5ER+ffp7CvKe/qoGrWCOVJtJjCHf/Wr1mQ8GOGnWtDVpfwzK12gBW50x22uRlZ1j6P/7s/veEE/Opfl79Xpvz/JwYW0bmaPfRr83ufp9xszp3ujW+Tt7HgYoWooq03dc9bGq5MrBXbamlMxaZ2xO3dfToub9urhN255zuIHN0RmpqwOsk2FzvnWvSHPucvPeEvB/1JKxW//7bfzfQ3po2+seLm+jcY8arx/KyrM2tZuFjQ6oclFtmZd2h9lO4F6wca7aWB97e6c5ePdbzc0Ineebn59PkyZNVr+36eo+cAhXKX3zxRbr66qtjfXhxBcsH3SxaEe9FUdwgVq2PBF+46rDZ1mycf43NC2R0bsIFtwIVX7FaeCySwljelmBRbtPFBbRCHDM2PJAygsrSHOeqt1so4ALpIUeBo9Fb18niSBzVybdZX8M7Rv22ipxx7mGk76cXIoug8FDwqtNS5CwR8Y5nfFaFd73IWQTz9bzJZer71v3N+r1qeq/ocqtCbxVx82sZCoX29Q8GriKuHa/nbwbCzvWsYHPycxqvRTvXw5a9zfrP3BGFc6WdxnisnBplFyvtRo2wPWLM4U4mEtrABr/85S9pzJgxqrf2kUceqfpr//jHP1btwAQv0Wi7EC+41TYjEGzER2NDLlhvzRMMb7Xi9JhuwKxXEbe/mYtV31ioZsIdMzZ/HGHn9jIRvaeNzZvx+KLR197JeYqjXVw4yLaDymYVcRQ5s/R+QdqzcFXxSKuIq9eKU4NMcKYjQLB2TdGG136nDWwnqqRDDTSmIk85Dtft8ASh4mWvaKeVovEc+58X4x4s3Guy+gFBWyf3bmmpqfr1yHOyWeAUQIs0ZseBVltzq1mg/OCgdaTXrl1nUA7vDZLUwE54a6u0tJT+8Ic/UE9PDzU3N1NZWRmlalIRIUDJ/2FgYNvtr2gH2bTFB+y9Njvmdj2ukRiYgSK4dvtgdydgH2y8P2pcBFIMcPS6tDDLUjXqcO9pZQ5g6SHmj0jkcrGIfLVp+YToCW+HYH2pw76vtokssLgJ1O+JIb2qI3d8BWo/0z8woBdH4vcWEoNgc168tMj0qmWc7oPtzHw9f0o57attp5Vbamnx7JFRe1835j+eHyDFhjHrL3nGFwxVOAmQthI+Su98lXTMhbhWWzt6qbLU/P/5Kwz21ba5amDjc2MM4NSM2MC22V4xx8G+4fFI0lii6KtdUVEhxnUQeHM/HAzs6PbBFol4PGDVQIimYyQrDiTikGDHakNq7OMZbCFHKxlQWeKpZh0LiXi0nWVOOgI5n5DbbVlFjyRoThCrm0Kr7xssctHpwBjkBDivoSJfQnzjVcD0BXaSxlg9ZtW5G+29xZEzRqjvq7fWUWNrN328qUaXH7v5vnaVCaHQFV9Bxtyscon3Cbku7Ic9lbGJWrVcdrMEGxO3DGy762QoJadtA7snOftgJ42BLYSmU6ujPzwM7PCSVKeIVVRQCJaD3W/NmIpxrq3VTaJdowxefc45i3Y6A6IN6Vqhs2AbH45gjyjJiVl+X7QdEI7mYLOhG6FE3Orx6IZ9tk2JeBDZbyRR5uwAxjvLXnEdWi08JFBcSrD1+9XlXGE3DMVoOvzGVRbQ5FGFav7/1p/+R39+dj3d9dRa5XR1833N3qdWIv/h9ltm6++4qegs0OpRtFqUiLcEMcjtOk2t3VuRRZDtXjM5QVKFkgVZaYZdBDv5DUHvgheFHGwxsBM7BzsKDqdgDh/IVlFt1Mpx2DXKYh3B43MQzAFS0+h0BNt6ocNo56g7moOtG7r2rmcYnWmadN/K8bDUMjcrcmkgIuc9aGQfYTHOQPeIKI0SF+N4Go3CeBlTtxz6Tjr8Tlow2uf37Qda6IGXNsV0HrSTux5uv2V2fTRKxF0zsB2KYPPruYG3XkWkOdhaelWGvRzsTjGwhURmOOVge6tJDoatJhkpYmDHB1YNz6hKxIPlEGpRNSvHEamBjcImbldND3ncQRbS2iZPT9sKBwqcGc85DDazkudoqhpci2DbjHYgH4/XBisVXfV1xaJhH6jwndGwjywHO7hEXJRGiQdfC4jAcgVpY8pLrAuM2imoaAavmiPyz7doZiXNnVRGmPkrSz1OzHfXHtR7QcdCyRPMcRKKcE4Vr6PdXJGzHFcl4hYj2O2ev582psjn8ZKCLIr3dEq7Ss4cMbCFZEDfCA2DdlLGBddtmbjVKtBC7FpBOZEzFFlOaOCqxogcmpWt2lVnxNrACBflYW9/Ub5ncxIpxghoPDpdnK4VEWkE26huCrc5DSQRt5rLaJQG8uaazz9k3NxPNjK1RF/cFcQSIm191DekpV6snSa6A9XhtqBOzke4n2781Hz6440n0C+uPZpGluaq87dxd5Or72vVcRKOcMfmHYswOdg9buZg24xga38/fmShz+P+xdziUUVlN10jRzewJQdbSGD4Ah4OEWyuJum2TNzYb1E2brEl2xCxhPQ6HNGUFwbLm7YjxdPz1ixu5rwe5tjc/+HaQLG33yk5nFHybPZceTcJ6VF3OpiN4ASjXa8ibv/8WY1g4z7jc2t1XeG/x+aa0yT42oj0Gg0pER8GKVLJBhQ3UN4YxzTaLfXMqXNcMrAdjNDzfTdzfIn6vn1/c8zSp7IyvYaj2X1auICGaYm4HsF2/topyLEXwW7VJOKFee5Jwt1y8tq9VnNstodMFCQHe9hJxIfHBiMalcRjndcqeDFuys2MeTTlhcHyge1ECuxu5mLdMzaUwqCnt1831HhzEimQPFst4BL9HGzP+6D3KRuZdrEr1TbC6iaz58sYdbBqYBuvQ87/cypyFqjqtBP9tYX4Wc/1lnoZ0WmpFy1HWbScwGNG5KvvB+rbA7xvdO4VRGb9HSeRztFmDWwn5kuni5w1axHswrxMXYlUVphNiZCmxPej3T7YnT1eJVMyIQb2MGE4telyOr8xGLzYS2Xa2OOpVJ1qWm7EBmo0IlrBZFh2ZKvGwjBWFqTYS8SD34/s6UfE2UkHoNX2ObFq02V8b7s4cexW8+E40p2Z4b33zAKjyD8vn9copyLYxvx7vveGQ4pUMuKfYhLr+SyYo8ypmi8eddyga2vUqDJPHvaButgZ2HYCIXrXjWA52FqRLbNFztyQiOdrBnabRYl4q5aDXZSXSd/89GFKZXD9RXMoEVpF2q8inq6+YyvjdIpFPCAG9jBhOOVgR8vAjpcqpoJ/q66+5JWIa8drdTMX6xzUUFXeWzt7dM8/Is+Ov6dlAzs65whGpuNtUiJQZHjleubOV6SFgvxVDez0itTJEij/Pp4MMiHyQmLxNJ5GFZRT/XzdVsdVleep73XNXUOLb8bB2hjWMR4sgp1lbj71zjVxVORMM8jx/xOrCuk7ly2gCX752E6jr5ERGrf8/1YVcpkZqboCJRnzsMXAHgZAfsje0OETwXa/F3Y8LfKCNaeK1xMeOy89L/JWFiXj8VrZzMVeIh4+gp3vkDycsSsRj2ZVYucjCJH3j7YawbYbBfIvcONUBDtQy7FYO5gEZ++TeCouqnLEM6xJncPBjki8rhtFrgpzM/Vz19TWHcMItrW0lIRo06V1ckAhPrOReajRuE0XItiJVgHf6/hIt9G9Ii1p87DFwB4GGC/c4WIMehdk925au147wR30HFITE3VsNhF+BnYYuZvZgj+J4AwK1Qebq6063e/Tcuu2KKYNOKm08Sm2GMGx8/1j2sCONILtJxHncxBpBBubNv/+rtHOrxfclojHl3qMj8Opmi983br5+dgQNEZaUbgQhqHnvaNYn8TsHB1mzWTnaLhx6HRRIo7PxCkzZiuJw+BHwUe3+14H3SdHGD2OZH7NSeJWXWJgDwO8kYG0mPTAjQV61NDFvI5wciUhuugROAtFzqLR8zhYay29WqvF68dOAb9oRuzNGFNGaho71feKYmcLulg9T7EwwpwwsH0qKjshETfplOTK5fk2e2/z/crRJLv3g5nImF7kbJgU+Uw2/CNtdvvuJkovbG9Kn3ufzytl9hqBxrkyLiXiYVRGZpWLkToHwzn4rBY6a27r0Y8nIz0t4fbJkewvciy2WE0kxMAeVhXE48Pbm3Q52FGUlArB8S+aFApv2x737wne1CNNw5g3zY4AqwoIO70rY+0M8lZ2Hno/cqGdqrK8mM4B4QroxGsfUm+xRevFxozw+mA2mtHWGZmB7R9Bc1LG7V/gToqcJadEPG4MbEPxSSeIRsvAQEYgvy9SLCLpRR9riThXtQ7bB9uFKuJ2emHXt3Sp72WFWRRNnFh/fAry2TGwM63V/kgkxMAeBgynHthDq0m65xWLxYZcMOMJtVBFPAobNKO33bgB87a2SHM9b7erN7aSSl2yG8D5caC+Q30fpRXeifXmzc2okTsRbGciv1b7YLd1RGZgF+dn+eSAemWxTkSwfaWP8WaQCZFF2uJN8u90W1CvQ8jFCHbOUCPQyXvQimPCbARVVy5kRdimiyPYLq2HVgudodgcKC/KoURzDEXakz5HJOJCIhMNuVG8YbVFjx1k0xZfhJIh+xcUiaZzxBhZNBp7diN2djZzsb5Wg8nAMBbVDR4Du6rU0zomZvl9MSiE5cTG3KmxzcvO8JF+h8NY/d0OxfmZPga2blQ44Aj2d65IkbPExtuFQDOw48y5naXXmHBWIu5qDnYAIzDaue3W52hWDabblogj4sp55m70wfaNYJs1sD1pUuVF7va9dmOfzGMCxYOdgnw5YmALiYxIxN0h1pWZBXv5V1hguaBI1Dz1AQwpu3ng3oJhFiTiLEePUTpDsI0U5iYeiyLN4Ip5fl9MItj2N+ZeYyNCAzvHc121d0Ypgl3AEewex1Ul/tdbvEU8BZvOUz+HSazmM7dT0pwq+GdVxuyVpqfFpYEXLvden/NDRMSN7+XW+S3QOmKYlojrEezshOu2E6mDN0cMbCGR0b2hw0gi7m3RE40I9vA5r/EML9bhDE+jhDxaG7RAG7CuKErEu2N8rQar8M55vBgHp4u76JV9TcgPEUmPRZTfkQ2OzRYp/uRbjGC36UXOMh2RiDsbwQ5skA2nNKlkwn/OCycVTnSJeDQi2OzQrG/pjlmtDuutFM3lYId6PU6BwTXlRgs0OxFsLvRZFmWJuPH8Yw20A1/zdvdS2XqbLsnBFhIQNihy42QxSsS2GfEouxXstRnicUOP0WhV1Q9oYOuVjaMhEWcnW6yKnAV2CnCBnXwtehqronc9vQPE+4tEqyLe3etM5D1Pi0TjWIzF+MJFsJ2QiGNz52T+p+7QkQh2UqDfJ3oOdnw5t53qZx/NSPK4EQXq++7qVhrQJr/oS8TNOxiNLcSCzXV8nWA+H9CUUcHyr/NckoeDfG1OZAdyKHDuD+p1SJxNkwoHny8Mf692bq0S6b2YK1XEhUQmGt7QeMPpthkhPXdiYMcFWSYNT287oFhUi+4f2kfdskTcRpGzKLYlC/X5sUEyGm/tuoGd6cJ7mj9PPE+kRFl26kQEWy9iGeE8hI0Ou5vatU1oMGAQt2jyx0iLnGEzjM/g5H2pO3S6+z3qBGmpmNAMzamPrw4eTlRjNhKNqvdV5bmUmZ6q1kuugxHtQo9WnMXdPd51I9gcYXTOBVMu6T2wNcVOrCXiDS1d6lhRub2iOMoRbMP5srsGReq8zzYZGElEpIr4MIA3LuwpGg5Ep02XRLATccxj0RM6kMMn0j7Yltp0xfhaNb6vcXxYQudqBNuERFx3dmSmqT6m0Y982d9cdGhS7Ug3jFBzcNsadnwEA8oDNuzt5g1mZqTpUaTGtm5Hr1GjwYP7nWNZw8nJPCwk4nHi3M5xXCLu/ueDPHrMiHz18/7a9rgvcsbHFqqFGIqJ4vlQr8kpZFzUMdYScY5eV5bmRtRm0Q6pKSmWZfpOO+9z9faQYmALCUjHMMzBjo5E3H0vs+B8NDAW0dxAEkK7BoWda1svChSjDSk2DoiWeI7Fu5CyIcfy5FjVYYhVhNMJRyBHm53o6Wq2knhNg5YzWJilDGW7GPOwO13Jwe7Xzy38JkgLERIP/0hnrB2GbkvEnbwXQlFa4F8HIcptuixE/s0cG5yj4RzQetHfbPfz25vbe8LmNh+o8zg3RpVFVx7u1BoU6TWTrUW+OyQHW0hEolGRMt4Qifjww+yYx6aY1dB+n3aPw2oBP0iyWZYdywief29iY6EsltTFbvMWmzQaJwzsDgdzCrmSeLjcwUOapHRESWSbQs7DhkwSUnHnq4j3+eQIRlOdILjnPPVW/I8P57YVtYwZopVj7nVw+VXyj1YVcQvzn1nlWThnB6sD3Ixgl2jnFcccTvqsG9jleZSIzqFI185cjmC7mM4ZK8SdO4wi2MNJIu60RzkQ8eZFH+6Y3eTo0uwo3g/+xh4KsNjtxW3VeWQ06mN5rfL5NlZ550JZbNg5+37mZZuxivA7kbupz+8ObBgLc72Rl1DUNHlljU5s8Nlgd8qo0Aseqgi2tOhK1jZd8bL2Op6Dra9R7n6+Yr8INve2d6MmRqT7NLM1GsIp2dh5yIXI3MCY/tLQ6q3SHkoiXlUWGwM7Uicv7y/srp3Z2njxOpZMiIE9DIiFQRFr9GqSfcGrSUaK7kWPk0Irwx2zi3UsI9j+ERg7x6FvIExGSzgqkZ6WEvUcr1CVnY2bnQLNsHMSTgGAgR1Ophft4j6hlA22c7AdmN9LCj351I2G1j2BaNYiXiXaBj3SDf7Bug79Gg2WX2nnvCJ6FI18ViE6c3tf/6BS4yS9RFwvXOjuno0jrY2aEdgaYWcAd3OwzRly4RzQXHisSPvsblFSoM2lYQ1sTwS7KmYScfPtLN1Ir8rRHBFGZVuyIAb2MECvmjisDGzvZ3Uris0GznByXMQzxtxkbjsSctxiaGDzPQnFqlWDwqrHOVby51BGj7+B7UoEW/u8gyY2DzGXiHdHnoPthEScDWYUHQsFb8QLI9yIV2oS8237mx1dowrzPA6blvYeR/trC7HBOFdjzujXnObxYmA73Qfbe826HME2tMrzMbBdqIkRCJ5vjWlMka7bHPAINha85vAc4Ralhb7Oi2DpPTx/jyiJbgVxO+0s3dhP5RiczGjFlkyIgT0M4OIB8bIYRQNEQriaZCTRoWAgKu5kzqAQOcZx6Akx5l7lQfQ23P5505w3aycv1KpRFguHQiDYwAkUwbbb6ikUKGjFZzZs67YYRcSMcsZwUXa3q4gbix6Fi7pwiy6WlNtlrFbFmK+DHIfyIjl6hM0rjOx4uP6FyCpesyOS1RPx1CKT1TJOOPNVW7lo5WDrEvEeH4m4G4oiu221hkSwwygGwzmg2YlQ5LKBzekvqC8RjIbWLt05GisHuHNFzuwdf47B8cnKjWRBDOwkx9MDdPhFsI3VJN3or2ecjOKlF+dwB1Wq2VYNtVjERiLuW/mbqzTbiTpalRXHuoJ4KE+5LhF3IecPc4BZ6Was2v7w+0Fx0ds3EGEOtoMR7HAGtma0FkS4SR1VnqtaxTC5DkXsEPnjseccx1grOITIYMOKo60wuGF4J1sONuaBaEXo2QjEHglzYFuUJeJIWUIwxIzD2DtHR5aDzRLxQpcl4qwOaAnRqouN7zItNScRC/RFWuMiHR1GtO4OyZaHHR+zk+AaKjKi/TzcpMy84eRooZOwcYPNoRM5g0Lk+LboCGFgR7lSqu+12OvTnsqO08vYO9lM1DNWLaiCFznzHA+O3U2JuHpPy3n50Z0jjU4POxEESOrY6x9NA9spiXhGehqVF3s3l045gTEXcDT+gJbjGOvrX4gMHj++NqNdLyEUvJZwjngk6G3louAUxTllxwXuEzbso2Vg+6i7whh4Hd3m1szwOdjRiWAb01SC0aDVuiiNoYHNSj67ziEnnNN5mnKJ90fJglgGSQ5P1pBLcx/a4QLLTsO1nInUayetX+IHMz2iY5Fv638t6ga2DaOIXwubOTNR7O7e+MjB9q8EjGPHZ3BLIm4lsuRt+xPdTTscdGY3mIHgiBM24/kOyKtZGoqIVjBDAfcWX3dOSEm50JLTedLsLFi/o8Hz2hLBTmj4Xq5t9vRgz4+SjNkMRtlypDLxTsNcZFR3uAH2Lhxp3VvTpr8vHF/RwuwczXNduOrfoZyqRqeu20XOOH0mlIFd19zlk6+dyBLxSNbOXBeDYbEkKSyu2tpa+vOf/0y33HILPfHEE9TXl1yDFAksuRiOhmCetmnnvCIniRfZrRB4sQglNTLbTzMaBrYdgwKbOXaWhZKfDYnOxjiVwZuy0e+zYYJEzK1K/PFcWX7IMdqQx3E0BnNdqlZzIhKw0eFNPb92sPxrKHecOF+cB8rv7xRjKjz53Uw0FSuC8/D41TV1RbUQl3mpc6ojMnFWHEWrKB/LxLfsbYqJXJnHNdwc3WqyXkcog9FYIK9Icyy4HcFubg+uBtq2ryngXBVN2GERbL4PB6e75WbZvx9ztWtdDOw4Y9++fbR06VLatm0bjR8/nu699166/vrrY31YcQNv2oZjBVWeiNs73cvBFtlhfMGyL87TixeDkxcxFF2CrJcNbTsGBRxlHDlsDdOvOJb5xcEk4rwBbdYMNcgR3XL+GSuUxuv9HEkEgfMJnZJ0wrjO1+T6/NrB8gYReXZi3DiC5vQ6ddEJk3x+j/X1L0QGz9e1TRzBjh8D28lK4vraEKU9Gys9NuzyKD1GlUe3H7OxnWIozOaHZ4VoO8URY8w5bkfp2YBvafc1XDfsbKDv/Pl9uuEP79LWfZ7uCbMnllKsYAVRqD1TqGK/TrRszNPUV2ysJwsJH8G+6667aN68eXT77bfT1VdfTQ8++CB9+OGH9Pbbb8f60OKCzuFsYGdHQyI+/M5rPMPe91CVOzmHL1qVUrmYGZsicPh4c7DtbRIL8zJ8oomh4JznWF+rLJlr0M4/b5QrityLmIQreBMP93NEBrZeJM45Y0N33gSZN715g1mORtCcNioyM9LosCnl+u+xvv4FZ+4TNpKiOX9biViGq18QDp4Xy1ycF41w/i8bSqOi3I/ZbDFasx0nQrWdqteunfLinKitdzD0jc6D/607SPUtXSpijFj6xKpCqojC8YSbf5tsXLfYf0ARAD8r70nskCsS8fgD+RRvvfUWnXrqqfpjlZWVtHDhQnr99ddjemzxAm+uh6WB7WoOdnxEBYXAm4V6zQjwB4s4b4CqyqO3kUC1W15EEBnk3pd2JbG6EWRKIh6b/GJ/qrSN28G6djV31zZqBraL/T/Nyq87YxrBtl9kRu9b66CxwREijhj5g82hk1JSo4Ht9DpljMbJXJ3Y8H3i7TwQXxFsnt8OaFXr7VKjGdgjomR08XEz0Y5gs7HL1f7dlIizc6Y8Cs4LHAfPZ4cavJ/tQJ2n6OKVp0+jn35hEX3vs4dTLPH2Qu+x3CqS91KYwyOp6J/LEvEkqyKe0FZXfX09NTU1KWm4kbFjx9L27dspWdlf20aHmrqptbWT+rUiQcHYU90adxU3o52DXdPYQds0KY5T7NMKgsimLb5gr/++2raAY84LHaTkLEuKFijKA8N6054mOqQtsnYjdhwt2XWolUaVhb62OWcx1tfqyNJcFcXHOVi/s4F2HvTMTW567/kzY9Mbag5gYzKWEnEUGSrV+jebZW9Nq+NVf7l41M6DLQGN6N2HWh2tfDttbLGSU/b1DdD0cSXkJJNGFeo/SwQ7sSnwi5BFs9K1GarKYJjW0ta9TTSpynvdWYXvLzcdj8EMakQiZ4x39h4Mx4SRBQS96eY9jUHn6EEa1FVf4ZyJPJ9ibdy6r4lSdO0Y0YotNep7NCLGSJ+ZPLpQFVlctrFatV/D5+A9yKyJpVRZEl21QCC42BuKWiJNIFurKm4GnN9I5eHGQMPa7fW09NgJUS2y5yYJbWC3tnomotxc34sUv7e1eQwgO6THcbXtDzccoj8/s96WsRnPn8vNHBgYND9/aIUr7wEPpdPnNU0rlsLfBfPwwomFOtSYY1MR7fsBLY2qG4geeHGT/hjyCO0cB0f93lq1X32ZITfH+WvVCnhvbBprGjvpjsfX6I+PLHNvLHI1J8o7aw6or3Dk2RyPSO5fdrI8/8Fu9WUH9HR16hxyROOVj/aqr1CRJyfeE9fEH244Xsklna6aPH+qVyKempbi2DmSOTr6HDOnil78cI9PcTy35g074zt2hKdQ1YotteorUkaW5UZlvh5b6S2wNW1McdRbRk0eU6S+bz/QYmqfVlSQGfK8jKssUF1zIM3+xUMrA/4NOxHc3mNNH1usDOyXlu1RX0xGWqpyyDhRmDJScC6hCoAy5PbHvOuyFZAuFMm1WqgFDOBk/sNT6+i7VxyeFPNzQhvYXGDFX9YwMDBA6en2Phou+JKS6EpkrDBrcgVNGVuse/PMgIrDZx07Ma4/lxscd/hYenvNwZD5uJGAysdnHzvJtfNaWBi7vJxE5aj52bRgxT4fSZY/qPZ60clTo34/LD1xCj326ma9iim8vscvHEslFqOW4PTFE2jjnkbTVTexgJ10xHgqibHH/NJTptGzb2+nAW3OhuLgxIVjXWu5c9rR42nz3qaw+X28MZs3rdKxRdns/XvWcZPoYEMH9fQN2M7vP+3oCY5dz2ccM1FtdkPlhMPBs+TIcVQSw/6tZvnyRfNo9ZYadbxOR0Zkjo4euL7PO34SfbyxWhmBxy4Yq2/M3cLK+J5wxDh6b90hqtPaiEVCZWkuHTN/jF4Y0m2WnjBJpe5ce8HcqK+LRUW5dMKC0SryH45Fs0ZSZUVodQCO/1tXLKTHX9sypNAZ7NlTF42nExaOi8r9e/bxk2n9zsYhtVKWHD6GyspiVzncn4tPnkqvLtutnJxWgX1x3vFTIrpuTjpyPH20uVYVbT1qTpVj12Cs5+eUQaui+ziipaWFjjzySPr73/9OxxxzjP7497//faqurqb77rvP8mv29w9QS0vkE6SbYAOICwfHieMVkgsZ3+RGxje5kfFNfmSMkxsZ3+RGxje5SXPRRsLrmnXCJ3QEu7CwkKqqqlS+tdHAxu8wvO2CXLBEABdOohyrYB0Z3+RGxje5kfFNfmSMkxsZ3+RGxje56Y+xjZTwSZ7nnHMOPf7443rO9UcffURr166lc889N9aHJgiCIAiCIAiCIAwjEjqCDa677jpavnw5LV26lKZNm0bLli2jG2+8kWbMmBHrQxMEQRAEQRAEQRCGEQlvYOfn59Ojjz6qjOzGxkb63ve+N6RtlyAIgiAIgiAIgiC4TcIb2CAtLY0WL14c68MQBEEQBEEQBEEQhjEJn4MtCIIgCIIgCIIgCPGAGNiCIAiCIAiCIAiCMNz7YLsBTsfAQPyfEvRhkx7YyYuMb3Ij45vcyPgmPzLGyY2Mb3Ij45vcpLlkI6WmplBKSoqpvxUDWxAEQRAEQRAEQRAcQCTigiAIgiAIgiAIguAAYmALgiAIgiAIgiAIggOIgS0IgiAIgiAIgiAIDiAGtiAIgiAIgiAIgiA4gBjYgiAIgiAIgiAIguAAYmALgiAIgiAIgiAIggOIgS0IgiAIgiAIgiAIDiAGtiAIgiAIgiAIgiA4gBjYgiAIgiAIgiAIgiAGtiAIgiAIgiAIgiDEBxLBFgRBEARBEARBEAQHEANbEARBEARBEARBEBwg3YkXEaLH9u3bad26dVRWVkaLFy+m9HQZwkRi3759avxSU1Np/vz5NHLkSJ/n6+vradmyZern4447jgoLCy09L8QHg4OD9Mwzz6h7tKqqSn+8t7eX3n//fWpsbKQFCxbQ+PHjff4v3PNC7Nm2bZvPHJyRkeHz/OrVq2nnzp1q7A4//PAh/x/ueSG27N27l9auXavm1kWLFlFWVtaQ51etWkX5+fl07LHHWn5eiA2ffPIJ9fX10bx583web2lpoQ8++IB6enromGOOUfe1k88L0aGhoYE+/vhjOv30030e7+rqouXLl6vnJ02aNGT8BwYG6MMPP6Tq6mqaPXs2TZs2zdLzQvR49tln6ayzzgo6p65cuVKNN+5DI5s2bVJflZWVdNRRR6n9t5Xn7ZIyiJ2gkBDcfffddP/996tFe+PGjZSXl0cPPPAAFRQUxPrQBBP85S9/oXvuuUcZxljosSjffPPNdOmll6rnMYlff/31dMQRR1BbW5vayN977700d+5cU88L8QPuy5///Of0t7/9jU444QTdOXLllVeqxWH06NH03nvv0Xe+8x264oorTD0vxJ5f/epX9Nhjj9GSJUvUhh0OzocffljNwdiIYbw++ugjWrhwodrUHXnkkXT77berBTvc80LseeKJJ+i2225T9+yePXuU0fT3v/9dbbzA448/Tr/85S/VHA4nCZ5/8MEHTT8vxIZDhw7Rpz/9abrgggvoxhtv1B/HPupzn/sczZw5k9LS0pRj5K677lJ7LCeeF6ID9lNf/epXqaamhp5++mn9cRhNX/ziF1UgAw5N7KFmzZpFf/rTn5RjFPuoq6++mlpbW2nq1KlqzcV4fv3rX1f/H+55IXr84x//oF/84hdq31xaWjrk+QMHDtDSpUvp+OOPpzvuuEN/HPMxDHM4w9esWaP2Vtg3s5Ee7vmIgIEtxD+bNm0anDFjxuCaNWvU7x0dHYPnn3/+4C9+8YtYH5pggi1btgxOnz598KOPPtIfe+aZZwbnzJkzeOjQocGenp7BE088cfAvf/mL/vwtt9wyeN5556mfwz0vxA9bt24dPOywwwanTZs2+Pbbb+uP/7//9/8GP/e5zw329fWp31977bXB2bNnD+7fv9/U80Js4fHYsGGD+r2rq2vwrLPOGvz1r3+t38+LFi0arKurU78fOHBA/Y7HzTwvxJb6+vrBuXPn6uOB+/DTn/704He+8x31O+ZpjP+bb76pz8lXXXXV4De/+U1TzwuxAXumJUuWqPn49ttv93kOe6jbbrtN//2uu+4aPOGEE9TYOfG84D6YT6+++mo1vhdeeKHPcxdffPHgzTff7HOPL168ePC+++5Tv2PuvuCCC9RcDlatWjU4c+ZMfY4P97zgPj09PYO///3v1f4ZY4wx9Ke/v3/ws5/9rBqbb3zjG/rjH3zwgZqTd+zYoX5vamoaPOWUUwbvueceU89HirjNE4Tnn39eed5Y3pKTk0Of+tSn6Lnnnov1oQkmgIzsqquuUtFn5swzz1QRjvXr1ytpE3vZGXhKN2/erCLV4Z4X4gOM57e//W36/Oc/P8TD/vLLLyu1AiId4JRTTlGedTwe7nkh9iA6efbZZ6t5GMDDfcMNN+jedMzRp512mi4RRWrAGWecoR4387wQW7Zu3Urd3d0qAgJwHyISDUk/wH2IsTvppJPU74iAffazn6XXXntN/V+454Xo88ILL9BnPvMZOvnkk1UE0gjWTUSg8Tzzf//3fyoKivU20ucF94FsG5Jw3F/nn3++z3NYU+fMmeOjAMNcDQkwpMQAcy9UDRytPOyww9Qem/fV4Z4X3OfKK6+kp556SikUgnHfffcplQGrBRmM39FHH00TJ05UvxcVFdGFF17oM76hno8UMbATBEzkU6ZM8Xls8uTJVFtbq6SlQnwDSej3v/99n8d27dql39SQMlVUVKifmXHjxqlNGsY+3PNCfHDnnXcquTBkZf5j3dnZqe5ZI/gd4xfueSH2QD6GzRnm3P/85z/07rvvKmPqC1/4QtA5Gjl/PH7hnhdiC8u44bRktmzZoj8ebPyQ8wc5eLjnheiDsUMtjB/84Ae645LBeGH9nDBhgv4Y5m6ss1hvI31ecB+k1kDi+89//pNGjBjh8xzSd3784x8r+b4RrLWor9DU1EQHDx4MuK/G+IV7XogOn/nMZ5TzEulUgcBYIPXyN7/5DWVmZpqym1DLCsGQcM9HilTIShCam5t9JnLAudeYCKSwRuLx+9//XhXMQKEjbNaNxjMvHsizx9hjjEM9L8Qe5NQihxP5PCkpKT7PYfyA/xiiEBKPb6jnhdiC4nMoPIfiV6ilgLoHyMHGPQjvOZQGGCf/ooOYo3n8wj0vxBasr9dddx3ddNNNdPnll6tiZYh0YfMWavz4uXDPC7FxbAcDY4L107/+AcYM8zGM50ieF9wHzgyogswCQw0GGQxvvicD3bMwvMI9L0SHCy64IOhzUC5AMYiceH+FCgg2J/f396v8+nDPB8r1toJEsBMEDLj/RC6FcRKXP/zhD2rzhmIMXADJ3ygDeAx1CMM9L8QWyJOwMUekZNSoUUOex/gB/zHE2PP4hnpeiC0s8X3nnXeUE+V3v/udimLDIYJidgBjGGiO5vEL97wQWxCxwKYKYwK5OAxsGFBsLAUbP8D3cKjnhfjfUwF+LNLnhfgCRjFUhN/4xjdUBxeMX6Dx4jU43PNC7Pntb3+rlAtIv7RjN7ltV0kEO0GAl6Wjo8PnMWwGOMolJA6IgP3rX/9SlQpZngKvmf/4AjyG5yAfDvW8EFvgKMEmur29nR555BFdXgSDDJM4t+ryH0P8PcaPvajBnhdiC2peYOE999xzdZUBIljI10JlcYBxwngFG79wzwuxBfMxcvLgOEFkDKAC+Fe+8hWVR41xgiPNCI8nngv3vBD/eyoeM+ypIn1eiB8QtUbaFgyxL33pS+qxUGsuj2+o54XYsnbtWpUaANXRo48+qh6DUxTrNPZgyMkPdI/ynBzsHjY+HyniaksQkMuFtiFGcDHhAvHPPRHiO0cXxvVDDz3k048R44uCHca8D/yOyBlyQsI9L8QWjAGKI8FLji/kbgLcs/hCvjxyAAPdw/jfcM8LsQVjgzYvgbzdHN3GPYrxMoLxZCdauOeF2ILe5sjzY+MaYJOG8d2wYUPQ8cO1AXl5uOeF+ILz41GUjMFY43fck5E+L8SPIYbic9dee60qSsmUl5crZ2mgNRfjF+55Ibakp6erQs+oQcX7Ljg4UVAYP6PIXSC7ifdjyNcO93ykiIGdIKAKJnosotcbQLQMle7Qj1UkK4kBIl3//ve/lXfNP18ElQwREXvllVf0x/773/+qyCeKdIR7XogtqFR666236l9c0A5VhLG45+bmqj6LqGpr9KqjEi3u7XDPC7EHuX4vvfSSj5Pr1VdfVYXPAMbp9ddfV5tuANUJIp88fuGeF2ILNs3Iq2dlGEAFcayv2Ihhrd2xY4dPgSOswZibISUP97wQX6DCNJwpxjn3xRdfpOzsbOVoifR5IfZgz4zI9Xe/+90hnT0A7lmMH6dwoKjZihUr9Dk53PNC7Jg1a5bPngtfeAz3JX5G8BHj9P7776v6KQBqQtyjxjU51PORIhLxBOHYY49VETKUrL/kkktURVss5GgdI8Q/MKzvv/9+1WYLsmEj2KBjA/etb32Lbr75ZjWu2IRD9oJCaPDUQa4S6nkh/kExDhRPQsEsRKXhaLnssstoxowZpp4XYgukhbh3MSbnnHOOasWDDRwUKQBjh4rFmKNPPfVUZXwXFxfrbXzCPS/Eli9+8YvKAQJnGSLXdXV1ao6FRBzqBYA2eqgaj2sAlcHffPNNevjhh9VzuE9DPS/EF1AWwBH6//7f/6N9+/YpwxgpAT/84Q91eWikzwuxA5FMyIdREwXKAqynDFSfaIOJ1k+4Z7/85S+rFlxoB4XOEGjPB8I9L8Q3Z599tprDeU6HMd3Q0KCnCYR7PlJS0AzbkVcSXAfeFUQt0TcZ7ScuuugiqR6eIKAwEiSIgUAe54IFC/RK1NiUQZ5y1llnDTGuwj0vxAeIcv7sZz9TOV9GORnkZXC2IM8HFW5haBkJ97wQ+3HF+CAFANErVDg1puhg3LAJwziitybubeRvm31eiP34ImKF8YWqBBtpbKwZbJdQiRhRrJKSEjX+xqKG4Z4XYsfdd9+tunbAsPKXEEMZBqUCIpbo6uHk80J0gBoI7ZXYOEKhQuToBgJzL0e0Iel/+umnVRQT0U8YXcaWbuGeF6LDzp076e9//7sqJou5ORCPPfaYStuCU8Q4p6OzC+b0MWPGKLvJWDk83PORIAa2IAiCIAiCIAiCIDiA5GALgiAIgiAIgiAIggOIgS0IgiAIgiAIgiAIDiAGtiAIgiAIgiAIgiA4gBjYgiAIgiAIgiAIguAAYmALgiAIgiAIgiAIggOIgS0IgiAIgiAIgiAIDiAGtiAIgiAIgiAIgiA4QLoTLyIIgiAIgnu8/fbbtHbt2rB/d/jhh9PKlSvp+uuvp9TU6PvQ8d7/+9//1M8lJSX02c9+Nuz/7N69m/7zn//ov8fq2AVBEATBCWQFEwRBEIQENLj/+Mc/Ul9fH8UTq1atsn1cH330kfrfgYEBV45NEARBEKKBRLAFQRAEIc458cQT1RfT2NhI69ato6985SuUlZXl87fHHnssxZpAxxWM8ePH09e+9jX685//TMuWLXP92ARBEATBTcTAFgRBEIQkAVHgDz/8UJdZ4/fNmzfTxRdfTK+//jrt37+fqqqq6PTTT6fs7Gx6//33af369VReXk5nnHEG5eXl+bzepk2blNHb09NDc+fOpaOPPtrWcdXX16uoe01NjZKOL168mMaNG+fQpxYEQRCE+EEk4oIgCIKQJPjLrPE7IsMXXHABvfnmm1RXV0e33HILXX755fT1r3+d7rnnHqqtraU777xTGeHd3d36a/30pz+liy66SOV+42++9a1v0TXXXENdXV2Wjmn58uV0yimnKAO/o6NDGexnnnkmPfroo45/fkEQBEGINRLBFgRBEIQkBtFjGMZXX321+n3s2LF022230ZgxY+jBBx9Uj5133nl06aWX0jvvvEOnnXYaPfnkk/TQQw/R7373Ozr33HPV33zuc59TP8MY/+53v2v6/e+44w5atGgR/elPf9IfO/XUU6mpqcnxzyoIgiAIsUYi2IIgCIKQ5Jxzzjn6z1OmTFHfEUX2fwwScvDEE0/8//bul6W5KAwA+BlqcGCYokGLLFmHGtXuV1CwLciKfWVtWM1+AIPFpl/AYhI0WSxWsSt7eQ5ccQx57/QGN34/uFzugd07bhnPzvMnNZvNz+A6rK6u5jTyy8vLNBgMSj87UtEfHx/T3d3d59r+/n7eRQeAaWMHGwCmXNRYF2ZmZvJ5aWlpZO3j4yOfn56e0vLycjo7Oxu6z8vLS3p7e8sp4ysrK6WeHbvdkY5+cHCQ6793d3dzyvjOzo5xXABMHQE2AEy5IoAuK2q45+fnR9a3trbyUbZDeNjY2EjX19d5RnY0VYta8IuLi9zt/Pz8PNVqtbG+GwD8ZQJsAGBkdFa9Xs/js76KGu3oOr6wsDDWG4sgenNzMx/FSK6o5Y4O5xGAA8C0UIMNAAyJ7uFRMx07zoVoStbtdvPorhgBVnYnPDqV397eDq3Pzc3lXfXFxUVvHoCpYgcbABhyeHiYG5O12+3c2CzqsW9ubnJA3Ov1Sr+tCMQjyC7us7a2lhupxb1OTk5K13EDwKQQYAPAhNnb20uNRmOktnp7ezt1Op3PHebi+qsIcmMtzoW4T6y1Wq18HZ/v9/vp6Ogoz7F+f3/P87N/0pjs+Pg4dyyPmdyvr6/5GfGs9fX1X7wBAPibaoNxZm0AAHwjmpadnp6m+/v7sRqhhaIu++HhIc3O+v8fgMnkFwwAqFQEy5FWHqnm//P8/Jyurq7yDjcATDoBNgBQiSL9+ycinT2OcVPQAeAvkSIOAAAAFfA3MQAAAFRAgA0AAAAVEGADAABABQTYAAAAUAEBNgAAAFRAgA0AAAAVEGADAABABQTYAAAAUAEBNgAAAKTf+wf8em1PP2Hb1QAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plot_fc_pwr()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "cell-10", + "metadata": {}, + "outputs": [], + "source": [ + "def plot_fc_energy():\n", + " \"\"\"Plot fuel converter energies\"\"\"\n", + " fig, ax = plt.subplots(2, 1, sharex=True, figsize=(10, 6))\n", + " plt.suptitle(\"Fuel Converter Energy\")\n", + "\n", + " ax[0].plot(\n", + " df[\"cyc.time_seconds\"],\n", + " (\n", + " df[\"veh.pt_type.Conv.fc.history.energy_prop_joules\"]\n", + " + df[\"veh.pt_type.Conv.fc.history.energy_aux_joules\"]\n", + " )\n", + " / 1e6,\n", + " label=\"shaft\",\n", + " )\n", + " ax[0].plot(\n", + " df[\"cyc.time_seconds\"],\n", + " df[\"veh.pt_type.Conv.fc.history.energy_fuel_joules\"] / 1e6,\n", + " label=\"fuel\",\n", + " )\n", + " ax[0].set_ylabel(\"FC Energy [MJ]\")\n", + " ax[0].legend()\n", + "\n", + " ax[1].plot(\n", + " df[\"cyc.time_seconds\"],\n", + " df[\"veh.history.speed_ach_meters_per_second\"],\n", + " )\n", + " ax[1].set_xlabel(\"Time [s]\")\n", + " ax[1].set_ylabel(\"Ach Speed [m/s]\")\n", + "\n", + " plt.tight_layout()\n", + " if SAVE_FIGS:\n", + " plt.savefig(Path(\"./plots/fc_energy.svg\"))\n", + " if SHOW_PLOTS:\n", + " plt.show()\n", + "\n", + " return fig, ax" + ] + }, + { + "cell_type": "markdown", + "id": "cell-11", + "metadata": {}, + "source": [ + "Cumulative fuel converter output energy (drivetrain + auxiliary) and fuel input\n", + "energy over the drive cycle." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "cell-12", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plot_fc_energy()" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "cell-13", + "metadata": {}, + "outputs": [], + "source": [ + "def plot_road_loads():\n", + " \"\"\"Plot road loads\"\"\"\n", + " fig, ax = plt.subplots(2, 1, sharex=True, figsize=(10, 6))\n", + " plt.suptitle(\"Road Loads\")\n", + "\n", + " ax[0].plot(\n", + " df[\"cyc.time_seconds\"],\n", + " df[\"veh.history.pwr_drag_watts\"] / 1e3,\n", + " label=\"drag\",\n", + " )\n", + " ax[0].plot(\n", + " df[\"cyc.time_seconds\"],\n", + " df[\"veh.history.pwr_rr_watts\"] / 1e3,\n", + " label=\"rolling resistance\",\n", + " )\n", + " ax[0].set_ylabel(\"Power [kW]\")\n", + " ax[0].legend()\n", + "\n", + " ax[1].plot(\n", + " df[\"cyc.time_seconds\"],\n", + " df[\"veh.history.speed_ach_meters_per_second\"],\n", + " )\n", + " ax[1].set_xlabel(\"Time [s]\")\n", + " ax[1].set_ylabel(\"Ach. Speed [m/s]\")\n", + "\n", + " plt.tight_layout()\n", + " if SAVE_FIGS:\n", + " plt.savefig(Path(\"./plots/road_loads.svg\"))\n", + " if SHOW_PLOTS:\n", + " plt.show()\n", + "\n", + " return fig, ax" + ] + }, + { + "cell_type": "markdown", + "id": "cell-14", + "metadata": {}, + "source": [ + "Aerodynamic drag power and rolling resistance power over the drive cycle." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "cell-15", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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z7iXb7i/IcXi9pLK7GmvJmDmRjBOWkE7fcXQ6wWqimnob6rABAAAAAEDEEzKB7XK5Oo5qmc3kdKK2EgCFMvTytwbb7XJR41ePk6ssm3QxCWQ96y7Sxyb2ygbVmWLINHqe3+8Xl/KTf0JN5lgxPXMcXC0/tOE1MUQzzziDTBOXduwk7qlNBwAAAAAAIFIJW5suAEB72DCsvlUEWzMQ64rm9a+QM2eHpF+z+7c+KaPfb1rLcVdKqzB3fSXZD6wW4zRXcz01rXya3LYGMk8/zfveeCWw4SQOAAAAAAAinJAKbK7DrqmpafWazWbr8PVJkyZJdBuAgUSTzUkOp9vbB7uxodnbesvttLeLTNt2fUb2PV/K85iTridDxniKBHQGk1dEm+ddQK7qYrIfXEv2XZ9R87qXSZ8y3NvOK95Ti44abAAAAAAAEOmEVGCzyZm/r3/++ec0atSoUH49AP0eFb02GfVkMRuosYHIfngDNa18hsjlIH3qSDJw/2kxCysWN2/GsugKMo1dQJGIzmghQ+pI0i8eQWRrJPuBVSKyDZf8XjM5QwQbAAAAAABECSET2LfddltAbuGpqamh+moAIq/+OtYk4tLVUE1Nq/8j4ppxlefIjy/mOeeRaeaZFOnw+loWX0H2IxvIVZFHzoJ90ktb1WDXogYbAAAAAABEOCET2Oeee26oPgqAqI9gq9ZUjZveIbI3kT5tNMWeebuITld5rtRq68yxZBw9hwwpIyha0FniyDRxmRig2XZ9rglsz7ZADTYAAAAAAIh0YHIGQB9EsONjzeRsrCXb/lXyf8uSq0hvHUR67j3NP1EM12azwGbjNldtmU8fbLiIAwAAAACAyEbf1wsAwEBCRWlZVNYf2ETkcpI+dQQZh0ykgQK7ixvE4MwtDuMJsZrJWV2jra8XDQAAAAAAgIEhsEtLS+nAgQPU0NDQ14sCQNCoXs9cd1y/b708N46JTPOynmCafII8ssCOtxi8kw+cGg8AAAAAAECk0u9TxEtKSuiuu+6i/fv3U0ZGBuXm5tL3vvc9uuOOO/p60QAImLomTWAPMjuo8dBOeW4au3DAbUnjmHlEljhy11eQtXK/vMbty7iNWayl31+WAAAAAAAA6JB+P5L95S9/Kf2yV61aRbGxsbRv3z668soracyYMXThhRf29eIBEBANTZpb+LDmI5IezgZm+kFDBtxW5D7ZpglLyb77c6JDq8lsnEU2h0tq1PurwN6bVUFvrTxCmalW+sE5U8igj5gEIAAAAAAA0Ev06xGiw+Gguro6+tGPfiTimpkyZQodf/zx9M033/T14gEQtMBOqz0oj6YxcwbsVjRN0dLEHTk7KNNqb5VC39/g9PWnPthLWUW1tH5PMa3dVUTRQF5pHa3eUUANnswKAAAAAADQM/pnqMiD0Wikl19+ud3rlZWVlJ6e3ifLBEBPaGi2k4GclFDlEdij5w7YDWpIHkb6jPHkKj5Mc81ZlE3j+pXR2cpt+bR2VyFxVXhZVSPV+Ij/NbsK6fhZQylSsdmd9OfXttGR/Br5//Of7Kd5k9Jp2YxMmjU+ra8XDwAAAAAgYunXArsjdu7cSZs3b6ZHH3006M8wGvt14J4MBn2rRxA9NDY7aYKpiPTOZjLEJ5M5cyy5XDRgsYxfRI3Fh2mCPoeIxlFDs6NfnJ8llQ308hcHyelqMV2LMRvourMm05P/20M5RbVEOiJjN+dofz2XP1yX5RXXiq0HSmn7oTJ6+MYllJ6sZQyB7umv+xiEDuzjgQH2c/SDfRz9GPrJPTmiBHZZWZmYm51//vl06qmnBvUZer2OkpPjKBJITMQgN9posjloiSlPnlsnLKCkpMg4FsOFfeZiyl37MmU68slCNnJS/zg/P9uSJ+J66pgUuuSkCaTTEU0cmUwJVjO99NkBqm9yUG2zi8YOS4jIc3nrwVJ5/MlFMyg+1kT/fnuHTP7wOr/4xUG6//sLKcYcUbeHPqe/7WMQerCPBwbYz9EP9nH0k9jH9+SIGUFVVFTQ97//fanBfuCBB4L+HJfLTTU1/bvVF8+68IFRU9NITucADm9GIXUNNpoelyvP4ybOxz7WJZE+KYOoupgmmQqppGwiVVbW9/Vuot2HNQE6d0IaTRiqiWiX3UHV1Q4amZFA+7IrafehEkq2GiPuXK6oaaLsoloOwNPMMdqkwZN3n0Q5xbX062c30faDpfTLx9fSGYtGipFb2qAYqqxppqc/2ENJ8Ra656o58jeg/+5jEFqwjwcG2M/RD/Zx9GMI4z2ZP9ffyHhECOzi4mIR1zNnzhRxbTBofXODxeGIjEEQHxiRsqyge+wOFyW7KinZ0EBkMFHMqOlUXecY8PvYMGImuaq/oKmmfCqob+7z7cG9uFX69Oghie2WZ0iKVQR2QVm938van87ljXuK5XHs0ESKNRu9yzU0NY5uv3wWPfr2LtqfUyU/bamqs9G/3tpJ5y8dQ5NHJff6svdn+tM+BuEB+3hggP0c/WAfRz/OPr4n9/uisYKCArr66qtp2bJl9NBDD/VYXAPQVzQ2OyRKyxgzJ5LeZMHO4G0xYqZshynmAqqt7zuTM7vDSW+uOEz3P71RXMPNRj2NGBwvgtvtcpCj8AA1bXiNZjl3kokcVFTRvzNhOmPTfk1gL56aQW5bA7lqSsjtMQKYNjqFfvHduTRjbCqNyUyQlmRtYeH98Kvb6KP1Wb2+7AAAAAAA/Z1+HcG22WzSostqtdLZZ59NO3bs8P4uPj6exo8f36fLB0AgsIHXRI/ANo2Yjo3nwZA5iVx6Ew2iBjI3aOKvL3jx84O0Zqe2fxJ0jfSTlM3U9MJLRE6ttZpiDBH9IH4ofVh+PkUaDqdL0sMz9FU0/8gTVPdtvryui00k0htInzKchk4+kW6/eAbpjFoaOKeO55fV07xRVjpa0kifbi2inUfK6Z1VR2lISpy4jwMAAAAAgAgQ2AcOHBAhzTz44IOtfjd16lT6zW9+00dLBkDgNDQ00wSTJiCNw6ZiE3pgIWdLGU8xZfsoo+lon2yXkqpG2rAzj2aY8smsc9CJMftohKO89ZsMZjKOnEn27O001VxA2+t2k8O5sFsn8f5Efmk9TdDn0ffiV5G+2tN2TKcjd6OWEu+sryRn7i4ig5F0Zi16nWKKoVSThZrX5tIwg5l+MmIG7R2pp08KUuiVL800d2Ia6dgFDoABBme65JXU0cSRg0iPcwAAAEAkCOwZM2bQG2+80deLAUBIcJblUIzOTo1koUFpo7BVfdANm05Uto9GObIkJbu3Bdvufbl0T9IHlGHwaV1lMFPsWXeSflAm6QxGIqNFHvXbPiTb5rfodMt2KiytoRFDBkXMvszPzafr4lbJcWjInEwxJ/6IdDEJ5CzcL2nwrpKjZD+0ntz1FV7RTY010gtccNrIkbWVJhLRxESi3bbhVFA6k4YNTuzDtQKg9yktq6aVr79ECc5qys0YRwuXLaSkYZzfAgAAYKDTrwU2ANGEq7pAHsv1aTRUHzlRz94gYfxcsu14k8Yaiqm+soziU3o37TjxwPsirh16C5niEonsTRRzwg/JOHRyu/eap59GlVs+pjRDHeXt/oZoyAUUKcQf+ZJi9XaqsmTS8HN+Rjq9dgswjpylvWH0PDIvuJTctaXkdjTLS+6mOnI31ZJh8Hip13aVZ5OzPIdsB9fRdHMeZW39nIaddWlfrhYAvQp7FzR8+Ec6k0t+TERUfZDoo0+oLHMWpZ5+Peksfd9qEAAAQN8BgQ0iAre9WZy3dREsTPU1RfJYZ0rt60Xpd1hSM+mQczCNMpRQ/b51FL+090SrI28PTbLtJpebqGrBT2jMrLldvl9nslBW8mKaVvE1WQs2E1FkCGxXYw2NqNkuz0vHnEUjPOK6LZw9oEsc3OHv9PEpRJ5Jh10VVppS9gUNKt5CRBDYYGDgqiunhvcfohRbGdW5LFSZOpOoMpeGuovJUriD6t/+FcWeehMZBo/t60UFAADQR0SuWgEDArfTQY0rn6G652+g+lfuJGfJEYpUjA1ab+VGS1pfL0q/5KBJE26G7I299p0cnW1c+aw8X9M8iYZM1hzNu6Mpc54I8pSmPHI1tG9n1R+x7/mKjOSgHEcqJY7xbz27onHYAnK6dTTIViSiA4CBQNPKZ8hdV0blzjh6yXk2Tb70pzT86t/RP+vOoTJnPLlZgH/0MNl2f0FuR991RQAAANB3QGCDfoO7uZ4c+XvJVVum/d/tpqbVz5Pj4Br+H7kbqqhp/asUqVgaNYFti4XrckeUJk0jh1tPlroCaYnVGzSte4mooYJKnQm0zrSEYi3+JfUkpA2mQqfWB9pZ0jfGbIFiy9ai16uaJlNmes9TWJPTUijXqWVjOAv29/jzAOjvOIqPkrNgH7lIT4/Vnk6ZEyaLuVmi1UxDJk6hh6vPoyLjMCkxaV73MtW/eT+56ir6erEBAAD0MhDYoFfgKF/jiqep7qXbqf6931HjV09Q/f/+QI1fPiapq/asrVT3yl3U+NHDVP/az8m2byU1r3+VHAfXEun0ZFn8He1zSo6S29YYcXuN+wxbbdpAyxHfcfrtQCchOZk2NGut95pWPU+uKi2lPlw4cneS4/AGcpOOXqhbTsOGpPj9t6lJFq+4dJUe69FycJRLSiDCCJ8z7vIceV5kGklxMVw42jNSk2LpsD1DnjsgsMEAoGn7x/K4pXk0VVEinbZghPd35y0ZTXadmf5UchJVT7tMWt+xl0HTiifJ7db6zAMAABgYoAYbhB0efDd99W+vKzFHolkoMzzscBzlOlYPphht9n/1f7wvWZZfR+bJJ5Btz1cyYHEWHyLjiJ6nuPYmnFJoICfZ3XrSx6MGuyMykq30QeNMmm0tpPjqImr46E8Ud9mDpDPHhmWfNG/9nzzujZlDuRVptGRYkt9/m5IYQ7mOFFpsIXKUZpElyGVw5Oygxq+fILI3k2nyCWRZ8l3NsTzEOIsPk47cksIanxaaCZ60pBg64sigU2kPOQoRwQbRjaOuiuxH2W+A6OumaTRjbKpcsxSZqXG0bGYmrdpRQO8WjaCbLvg/qn/z/8hZeIDqnr+RdDHxZEgbTYaRM8k4fDruAwAAEMVAYIOw4qzMp8ZP/0bksJE+eThZFl0m0TRXRa783n5wrQhuxjTtFLIcdyU1r3uF7Hu/JtIbKWbZtbRbP4VeemwtXROTROOolFyVhUQRJrBVNLbUmUixsea+Xpx+SUZKLNW4rfSC6wK6OeFTcteWSR2jZe75If8uLkNwST2/jj6omiSvjR3qf6uphFgTlZA2UeKoyA9qGdxOu9Rzkicjw75vBbmqi6Q1mM7Q8wizLzzIZ1gQD00NjcOxxWSgIsNQcrl1pK8tlVRYMUEDIMRIhofLEXJ3bs6ssu//hsjlJEPGeDIMm96pkWbd7lWcikRFugwpDzlzYnsvjZPnDhOBvetoBTVbplLMCT+gpm+eJXI0k7uumRx15dLmrllvIMuya2XiOFhjRseRDeLqbxw1m0wzzuy0tSFnT9m+fY/shzeS3ppEhhEzpBOCjiezoxQuL+OyMp0OSZoAcJZo88bXZazBXUIMyUOxUXoBCGwQVjjNm8W1YdhUij3jNtIZVaxvsfxrmnaqiGxDyjAyjpojr7GoNs86m8hoJrsxjv775HqqrrPRUUcMjYslGVREGq7qQnkscSWS1RJa8RQtDPZEg45WG8h0woVk++YZOTbMc84LeV9sh6ce2Z46lgoPmchiNtCYTP8FNi9Pg0Wrpdc3VIgAYHfxgJYhZ4e0v9JZB8lgu2nFU1Lfadv6P7IsvDQ8Ats+mMantkTdekpsfALl25JphLFCouT6+IUh+2wAWCjZd31GzZvfFoFtGDaNzNNPJePI2T3eOM6yLGr87B/krq/0vqaLTyV98lAyjp4nGSXqusPnd+3mj+T52kbNHXxsB9eLEYPjKTPVSoXlDfTpxhy66PjFZBw5Uyaf2GOEvQoc2dvIVZZFzatfIH1iRoetALvCtv8bal7FGV7ulnNbb5Lt0uH7N79Fth1aaruzppicRQfJcWQjmWeeRcbRcyVDiLezq7KA3M11sj14IsMwbIq3jV+k4Cg6RM1rX5QJfJ0lXq6rprELKNpwFOwjZ/5eMo6ZJ1kRAHQGt9ts/OjP3qCWszyX4q54KOLO7UgEWxiEDXb8dubtlhrqmOXf8xHXLejjksky59z2rydo0YFte4tEXDNlzgR5dNUUR9xec1VpArvYmUTTLIa+Xpx+SVpiDBkNenI4XVSVPJWsBhO5a4pl24V6xtWZv0cec43a4GTqqGT57kAwWhOorslC8fpmiTwb0kYF9PeOY1u1zxl/HJlGzyVa/j1q+voJsh9aF1KBzbPXzpLD8vyQYwjNjw9dBsWgBAvlFKeKwGbRQOMgsEFoYG+Cpm+ek0itgu8njXm7xZPDPPPMoD+b+7g3vP+gllk1KJP0g8dLZJkdwJ38k7tLMkq4jpqcDilN4qwXd0wCra8YQwa9jjJS2k9UsSC/aPlY+vd7u+nD9Vk0ekgCzZmYTgbPe42Zk8g893yZTHMcXi+lU9aLfyv3QX+w7fqcmte/on3WuMVEej05Dq2j5s1vkXH4NFmXVu/f/YVXXJsXXibC2bblHXJV5FHTyqdl/WJPv5Vs2z8S4e+LPnUExZ56M+mTNJ+F/g5PvDd+/BfJFmB48rKJPV7mXSjbPFqi2fYjm6jp68c5TE+2HZ9QzPLryDRpOfUX3C6HjPmiZXtHOs2b+XzPlTa35LRr17LyXDKkj+nrRYt6ILBBWOAZ8eZNb2kH2YSlpO+kr253bNqrRasnDE+isiIlsEv6Z6Rl56cSlYw56cft6utUiniJM5EWhMBgKhrR63U0PD2OsopqKbfCQVPTx0i0hVO5QymwOTWbIwDMtlotCj11dOCpzfFWExXXJ1G8voRcVQUBCWw2PVIi3zhylvbIGRw6A7nrK2QwryaZeooj61sZjBW406nClUCJcSEU2PFmyi3gY/0QOcuyQ/a50QBfp5q//R8Zhkwk06TjQ56F4W+bQ1dlvhxPhsyJpI/RrqGRQNOaFzRxrTNI6RBHgm07PyP73q+oeeMbUstsGBTcdYEdviWzKnMyxZ5xK+nMVnI7riFnwV45jm3fvk+uNsezPiaeCqZfR/aCGhqWau10Qm7epHQ6ftZQSRV/6sO99NefLiVrTMtQi4+DmOO/Rw0VeTLwZcEbc8IPu7xe2fetJPvhDZ6yFiLTjDM8xp9uaqwtk+tk44qnyHrhL73CxpG32yvGzfMuJMvsc7zXGxvfq3hCobaMGv73B7VgpEtIJ31skpR28SC8/t3fkmXOeaRPGkL61OGki0/rk+PYH5q//UDEtT5jPMWedD3Zdn9J9t2fk23rezKhEHPijwPOMupv8Pii6esn5XrO5U2c1cElCLy/LIuu6LN9w/czPkZ5W4vXjsEsEzOcuWiecmK7iR/QOzhLs+QcYGJPu5lse76UyUMOfkFghx8IbNBj3PYmctWWkn7QUJk1tm3/mFzl2VrqmsFElrnn+fU5HLk8kl9NaUmxlJoUQ3WNdtp1VOuve8bCkfTiuwXa99WWyyxpX6W4SGTl6yfI3dwgAz8WVhyNkBoXnmE+sIYs8y5o9Tcc4WRKnEkU6zPYAq0ZmREvAjunpJamDx4nA0dn8ZGQztA78/aIkR5ZB9HGIh5wuWnyyEEBf05CrFkyEsaZSrwZCv7iKs3SBiJGs9R+Mjz406ePEgNAXu9QCWzefsxemyZGkkIqsC2006FNTrg8LuXhglu3cQTTMHy6RAL7M+wz0fDxX8hdUyKdEFig9OYyO7K2UfP2D8hVliODcMESR9az7yZDev9PKeUJMNVBIvbM28k4Yoa8bll6NbnqysiZs0MmNA3H/yDgz+ae7XJvYqF70vUirhmd0Syp5/xjGrdYUshZhPM9zGCxUNqUubTmaxbdNTQsrfNacBY515wxkQ7lVUmq+NaDJbR8ZuuJAM7m4vTlxvcfEOHMYrmz+vLGLx6V9RX0RhHL5tnneMSUjmJO/SnVv/4L6WbgOLKJTOMXk7Milxq/0qKcxonLyTy35X7E0fKY464k99zzqeHjv5Kr9Kh2bJx5h/da5KqvlO9lQa/ua7LcsYkyWcTiiVNPeTuxeVtfI5OmxzSzVMuiy2VCP2bJVWRIHUFNq/9DjmNbqKG2lGLPuN3vbAGeNGd/GF1sUqd1+b0eoZd96iTj+MUyYWDb9oGIWj4XTKPnkWHIhF5fLhb3XLLA5rMtL9pk8oh/WOCx+O9JxgkI4nzge8CGV7VrwDguVZklLUU1gX2MaBq2arjBSB8EdIFnUaBPH0vkssvgh2f5pY6Na0kT0sVEgeu4FCxAVfS6vslO3x4opWljUsSFubbBJlEA7j3c2Oygh1/dRtlFtRRjNtDvf7iIdh0rJ6fLLXVtU0cniwGWzW0gMznJXVdBuiCj4j2FU3glKsiDn8/+IQMabium4CgI+Qhsrr1TRm5aDTZOu84YlcERtkLan12ltb3h7empHQrZ/jumOQHXp8+g5jw3JVhNNLSLAXNn8N8VuzTnca5fDGgZDq/3Rq19XcMNKSNEYLuqQ1cG4SrPksdjNm1gGcoIdnKCRSYZGL4GuJvqQjLg5ppXB0f4m+rITW5yFR8h+4FV2i+3fUCmqaeQYejkdtuvv8ADXxbXCmfRoV4T2BzdVWnBArvwc1SzuV5Sk62XPdBvo5AK27YP5dE05SSvuGZ4ubl2uJEF9rGtZFn2vYDFj7p2c2ZBZ6Z8LCB9U6ONRj0ZYuMor1S7t3UlsOWz9Xo6btoQemfVUdp6oLSdwJb3ZIyXyB5PzrFpmamD8gqptWVxrdOTecHFZJq4jPTW1pOB/H/2LOFIePOmNyUDpnnLO5Larh88lmKWX9vh/mZBb73gPpmA03Pk2mdbsAi1nvtzMRuVLKK6cplA4/u/bbu2b1QKetxFv/ZOUvgaq3H2AW9rHtTrE9PJOGaB1Ldz1gDvM77GSfnPiOkyWd3MrRnryihm+ffJMFirc/cXPr940pQnANQkAcMTs7qkDGr6/F8yVuFofdwlv+vWLM9RcpQaVjwrUXweZ7Aw72tjKD6veR35uI058UekY6O8eReSq6aUHIfWkv3Q2l4T2HI8VBWRs+iABFRkEs8UQ5YFl5Bp/HGa30B5DtkPrpHjt3nDa3Ksq2wtED7YX4azf5S3BE/uxiy9WnueMlzbfwEGBEBw9L+RCeh38EyubfPbUqclxiqmWC0CqP225X21pfLINzm+mXJ6kGnMPHmtoclOf3hhCxVXNor7MDs2H8ytIpNRT7/74UJav7tIxDXTZHPSe6uPUnmN9h2LpmZQjNlIMRYjlTvjKdNYLTfnYNPOe4p3oM/rXF/RMpjlgaytUcyefE2v+EbD8LI3uc0UixrsTpk9IZ1e+uIgHc6vpnL3MIrzRP/5GAyFKODMB1VreEjHgzg3TRqZHNRns8De6xGXgfTs5nVR9dc8GPFFTRqFymeAZ7JdFZr4z3OmyrnH51IoI9g2MlENJVAi1ZKzqoCMQyb26DN5wNjwwUNybrVFCRJOE+YfHmzGnvuLfhFh8t3mbETFsJhwFu73pvaGG04LVtcj08wzyTz1ZG3is7me6l65U0oZXMWH+yTS5S+8f7XyCR2ZZ7WPesmy87W2uZ5cZcfIMHhcUAJbmWoGQn5pvTwOS+9+EonbeLHA5ki20+US0e0LX3MMI2dpAjt3ZzuBLffdLe96Jxoss9t7lSjMM84QMcw15CLEeDuNmKkJsS46EnAWWGcTPxzRl6ijJ/LImVuOnO1SB861nHwPdlcXy7jAsvCyVucvR41VCQzjrK/wGi3yOcz70H5wneYMH59KbluDt5tC06rnyMoiOIAaXk6dVuvc9u/4emS98FfS9lE6U+z4uNXytt3mFSteptp173rHNjxR1vTV42TliYQ+mszjSQqOwvM5wZkPvtl7pvGLRGA7cnf1moBr/OJf4ryvkGNt+XXe0jieZOUJKjaYa1r7Etn3fElN616huOEz+tW1OhJh41eeeDONnd/K7FGcwte/KtmUDJun8gQTn8NqQklNGvpO/oLwAYENuoVnoltmrXVEdu1GqOCUTctxV5F99xfaTPucc9ulYb258oiIa6bZ7qR92drsmtPmpA/XZdGW/Zo4P2XucPrq2zxau1sTLCx7Fk4Z7B3MlzUnUCZV91kdNg8EOBWPiT3nHqnVc9vqyTztNDJOXEb1r/5MhAHP+qvIi6RpisBJkeh824EWaB0RnT0+jbYdKqM3ttbS9/lFzgDgDAk2HOohzoID8nm6mATaUsniuIomjQg8PZyJjzVRsVNbJpkEcDklqtAdrso8TTxyndrQKbTtYCkZDHqaPjbFO2nkqg7N8S3nidtJLmMMVbmslJ5oCvn+YkpcSZSor9Ui+T0Q2Bz5avzq37J9eH/r2SGXDXOMZjJNPVkcl+1Z35Lj8AZJCRVH5Kyt/copWAQcH2NxKWSefxE1fvBQr9Wn23Z9Jo+8rWKkRtdDTLw4Y/Pgi8VIbwhsTh3lyCjvu0CwcYtGvq+MnCl/3xY+x4xDp8p+dxTsD0hgc4aFEnrsoB0InE2VX+YR2H5kvHDmlcrOOpRbTZNHtU9NNo6YKem9nLbJday+4pAFKh/fZDDKPbUreDLXsuwaEYIiwhZfIVkeocxUkHNw7EL5YexZWyUyzNlbYiJmtEhaauNXj0n0nMtfWPgbMidppT5l2RJp5gkFbwTNaJZJAV+4XprvsYHsV5VCz3X6HcERdE7Db/riUclA41ZFHW2b5l1fUOO6d7TPGn+cZAY0fvSwpDqzeOEShd7O/hA/G8+kiXHiUjJ4opAKnmTkayRvR44st/V/CSUs4qTtHItro0Wio+ZZZ5Fx3KJOtwsbdnLGFhuWOnN3BDWx1dm9gmvu2QV/oMDnWvNq7iBA5Di4RiZRuROBu7Fau/bzJJVOp3k0zL+onbGwGl9ItwC+R4W47SFoDQQ2EHigwsYHPJvtm2Ils+jbPpDnXMfFs2FcmyYnKosJWyPpkoZos/HLr+twa3I08pvtWhTt7ivnUG5xLW0/XEYuN0kUe9UO7WbLabpXnjqBdhwpo7LqJq9hDNdkq9rRsgaPoOkjgS0DHo6mJg4m47Cp8uMLR+35wsftlpTAdpZrg+s8R0orsxvQMZedNF4E9o6sGqLhKURs+lVdRPoQCGwtCsCD6zlUvFdzm2VjtWBIsJqp0hVPDjKQ0cVOw2WSjuhXOqNENyfS5kNV9OT7e7w9dK+cF9oZZrdHqDfH8KBLR8nxoTX54UkvJt+WQONjep56xpEYmcAyx5L1ot90mMLLjuv8wyaKPPHnOLqpXwhsHvBxOyY1GcnRA06Jld/VV0gEMFCxGQiSsilRLE6j7iDymzlJBDZn2IS1/7DbSc2b3ib7zk9kAB57/n1+n7u+2R3mKSd1+j6+R7HA5nKKQJBIp9slqZKBZkAVV9ST3eGSrKv0QbF+mTbOn5ROq3cWSvkT37+Wzsiki48fK7+T9eCJDlOMDJDF2ddjlMi+Jk1rX/RGr/2pG+YaXOM1/5L7cjiPM4Vx5BzJjuDMNfuh9dIyqvGbZ0Rcs+izLLtO2m/Ke4dP93oTcNowH6vcBozvkRzJ5vRz0+TjxRWbz2eOkvorsDm6Kx4nPPEyrPPCUp7M4ElNTp1lEa+zJpF97wqtpI3v6aYYsu38RN4bu+RKMk4/Q55bll+nCfO9X8k5HHP8db3q/8LZL5wFwxMtLJrawsvNE5FcS8/jDv3EZeET+quel8luPn+0iH73E7a8fKYJSyQAw9ljoRDYnCXU8Pavpf0p94Dnuvv+XvbSU3h83rz2Je0/LIyb62Vyzhd96igpCens3OF9wRPXXOrBmSaGIMc+wD8w2o9iOKLWvOa/ZD+yUWq3LEuu6jDtih1mpb2Fy0HcECvmtJvJNGZ+y2wyR6V4Fn3mGTJbaBw6peWP29SDdcT/VmuDoGUzMmnKqGT5OX3hSHK53XTfUxuoxBPZPn/paBl4fOeUCfTYO7skBfeSE1suFHGxJipzaal5oaxRDcYwSmaNO4AHTCKw2SDHg4pg5ztTUH/tB0NSrNICp7iigeot6RTHArsir0eRUd8UWkY3Yg6Vrdfq4v0ZLHcEH59u0lG5exBl6LgmrcCvljbq2NUnD6M1O1tqt7/+Np8WTZhGQ0I4w6wmouoN2nmanBhDoSQxzsQT5lToTZUPrBa93fXKU3srzsWd1McqDHwd2v6hOKX2JTzwrN78MVV/86rUkmoLZxbBwL14tZKaRjGCNCRrgiMc2PataIn8diAeDRla1NpZetTvbItA4M/kCKqaxGJY+HBKbqtoelefUVOsZXfojSLAOoNri9WgM5DyEW96eIDRaya7UCth4j7XSiB3x4XLx9KBnCoqqWqk6nobfbwhm/ZkVdBFy8fQzHFpIlD4fsrCQzILPAKbXc45/ZqzICw+BmXd0ZvRPE715d7bHNm17/pcmxhrrid9ygiKPfeeDkUoL595+mmtXjNPbZlI4Qi0COz8PVLP6w9cBy5/y1HULq6XPOnAx5QY5B1YJRkCHXlnxE1ZQqZZZ5LTqaWIy1jo+B9Q0+rnyXFwNTU2VFLsabf0miO58gwxjp7faXTaOGI62UqPysQEj/XCshz7VmjlVXqDZg7oh7j2Lt/wGZrAzt0dknIvXk91r+GJPOOo2SH3uOAODFLXHxMvmYuc+cJp1zyZ0dti3tVQLaaDPEbnTKSY024ix4E1ntIIzVGer/umicu7TcHniLdTBHZx2A0vHdnbyL5/lQSkLPMvjngX/0CBwI5iuCbL7qkF5BoYvrl1dNOSG5RymuWb+4bX5STmi4gzT6vrMQyb1s7IxB/KqhppT1alpHqzgPZFr9PRD8+ZQi9+dpCGpMTS/MnaoHDuxHT6w48XiRlTnE9Lq7gYozcl113bRxFsj3DurMWBIVUbIHE6nERzuFbNcyPgCHYGDM78YsrIQSKwC91pNJ4OtGuZEwycPic+ATodVcfxBE+lRKO4l3OwKeJMoTORMowssAuJ/Jid904OJQym/TmayGcXc37+3oYCujE2SYto1ZT0uJWGquWu1GkCOCXIde0MLnfg87S4KTizN194YM0Ci0Uppzh3+90q2ldb2mfpbnxMNW97n2z7vmlpdRSfRpbjvuMdDOuTBsvxK9kEYRLY4i3gqb3jtjgdoU/OlLROTqvkYzDUpk32A6tbiWtJDS48IO17uH7YH/M7R/5e7W8zxrVLb/RFBoacFttQpZUT+JEWy+nhqlaXPUICJae4Rh6HpcUHVELxwPWLqLSqifZnV9LLXxwUr5G/v7mT7v7ObJoyOkXqV3kgKtkHc88XV3HeluIQzkKmk+1WUtlAB3OrafzwJJmU7HrZa2nFtnzKTLHS8llDJXU9FLCjePOWd7Xafs99TtKog4zwGoZoIslVmi0u5V0dA/K+hiq5bjDmaad2v7zjj9MEtkeU87XGyLXvBpNM4hoHj6bBp19DVbW2Vv4yMlkWmyAu3tzJgHuIc9ujcOOb0cEZAp3BUWEuV+Na/lAZTSqcFflybeHWbirl25A6MqDPMAydJEEaaUHJxnY9vPaofe79f9a3IRXYYhS28hmZ6GZBzen3HLln+FrDmRcWLjPoBQd9zoxqkrKpSvEvEF8FnV6OSf7xl71ZFdKZZzqX3RQfCnsWqG3Ply0Rd89kqPWsO4PSEZEKikGjFEnt9pjdcKSM4VRvrj9qi9MzqOETl2cnZcDqMSzj1jhMq6h1AGw+oJ3Ek0YOorQOIoUThg8Sk7OfXjRDBLciMzWulbhmrDEcwW7phc01a729Tbm9EtOZ8NFzSpzOoNUNq8gr94g0WqnaHSvrAMiv+kUm2+N87ZsRECwqNZtvmCUeo3uOXvsed4GmiDOFNm3Sx1npX3q0Sv+uMSRLXafZqKcfnD1FloO9CezWtJBlaaibaKkjvlXNdKjTxL1O4jwQcWip94HA57LXOXrG6ZLK1h08uFHCysnnWS/DIqj+1bs94lonaaXxP3ya4q/8s6Tr+kYMmHAOaKSGt7FGc1H2cd32hQdlXhfZEDvzM2oyl9tCxV3+RzGf42gmR4GU6Vt3qHsRl9r4wtlO3MZRwcJLrQunCPu1fDwodzlInzpC2jepQeft/1pDdz22lj7d2HWbuSN51a2uTYFMQrEAPnHOMHrw+sU0b2K615fEt27YWXJY0vebVj0v/+e6a/Yc6IjXvz5E9z61gZ77eB/98eVvye5oMZxqC9eA/+W17VKm9drXh+lXz26kCo+BaE+RSXvOTvBkxrHnQE+Eji4hTaKEXGbgz37lyRuuB+be1/44j3Pmgj7ZU8NsiqHYs39GMcuulbZl1nPuJutxV5DOaOpUxMaefbfc33kiSY2NwgmfpzIW40yHTs5rdU/Ts+h12LweBqGAa+ob3v4/rezFEz3llOxA4fNVTZ6ooE1PUMeGadopIftMhbSo+/IxbzccV1mW5gHDx6XHM4CPu6Y1/6XeQCbf+FgzxVDM6bcElaWy51iFXAOe+N8eOlJjCanPS2fbsFmZLbIRm9kq5pqNXz3R6+P2vgQCO0pxVeZrNv0GM1kv/o2YdSiHTt/BKM92iggUs7IZZOAWXGIGtV9mzqTm2BONCIZ9WZqZ2RzPoKIncAS70hVHLj5snQ5vG4LeQtJ2PbOYIqQ7gNOmVN2lmLpw7RQR1cbyTV0XsshBtKPaZu2q9tTcl+VItLAnKFFhYIFdpZUlDA4yPZzhenoWxUWqVVd1oX91uh6hVeIRvZwOz5NPbHLGlDpbJpF6ivqMApu2PZMTQpsiLp8Zb6F6d4xMIgXqqO4rEPmaxenUZs+gyR+4xrcvXFF5AMGtUHjyzJA2koZc+X8UM/usDiN3+hA7w3cE18AqY6auoofcBk6WpTy0ApuvdZIizK2DFl1G+kGaL4fJk/7rzN3Z7WfwwIvvOwybmCkKy+vp/qc30h3/WkPfHixtWRdPnSFHRvx132VME5Zq/3e46L+fHaCaehtV1jbTGysOy8+xwhpysUFIGw7maPebMZna+RkMPKF3zZmTyKDXUVZRrbT94kwHuWe43dJGijMMuPyB+113BLuSf7Ypl98u8PJv2tf58b9ye75ErphB8WYqr2mm/3yibedQwBkTcVf/neKu+ltA6ewdIV4unv3KddndXUtFYPtEr3ki5pMN2fT7F7bQX1/bJtum1ecbzWS96Fcy+RP3nYcDTpE1DpmgRbxF1GnlRuHEG70ePr3LSUftXNOyfjiKHaqAQtO6l+S45PKSmJNvoJhTbww6PVrV4Tvy9/U4XVozxtORaYq2zq6qYilRCQUSqXfapQzFetmD4j1kOf77FHfVXyj+2n+RZcl3tfWQUoa91Lz9Y2r+9n9BTSwH0rWG74uGQcFF/v+3RjPmZbYV6cKeBSrBPYdNJr5iz7iNrOfcI5NEfB/gvu0DBQjsKMUbCcicKKLPzGk9bADidHgHGvK+Yo7quWWgqrcmSW9ZxsGtZViQsCshm2gEmBIkn+1y0aF8bdZ/8sjuTVq6gyPaLK7r9H1jdMY1cQzXxXWVuqZP07YVp4WyeRxTbBnprdsF3aPa4ByrMZIug2uv3WJI0xOcHlHBkS9V9z84OXiBzeI6PtZIJar+uLJAKwvoAqkv5XIMvZHy6rUIuErvZEM/JqsuJiSCjNOG3bXapMQxz6x1SmIYItieqHi9KTXoOmwVddHqlv1P9W4Rr717LZBBAvcZzhhPCZf9nqxjW9ql9PYy8jHH5kaM8s7odFk8kduQ95b31H9LhNDH0EwJZfauYIOormDRL1Ejvt8M1jKEWOg+/cFezY+hyUGPvrNLWl8xKmKpsoq6nQBgIa4zkHH8Ynntq615ch3gzg6nzde2C0exWZw98uYOEWuK0spGKq9uEr+B0UN6ZraYaDXTzHHaubJmpzYpZxjh0x/YYKaYE3/caY38h+u0cpnlMzPpwmXaduJe250dG+t2aRNe1505iX5+1VwR97uPVUgUvMnWUhrGNeI8ufD1t3nS2aC7a5kvvM+780zw+7NUZkJ511kpzoK9UiLAhk8qffrDtVmSGcDrwaVp73r8X9qKbM4MCNY0UwUbwmkWqGAjv47Sw3nS5PcvbPYeP/Ke4ZrBGxv/sZlcT3FzZwwWsgajRPpN4xf3yNytZbsd6lEUU0288CSelL1wLbjb2c6NPti6a4dnfGyZc76ksrOxnHnyCbLuPO5jDwF1DWGHedumN6SdXtOalnToUMGTBt5Jx3HadwYKT1Cy0bDiaG1MWH2M2Gne7imZssy7UJs0Sx9NMcu/J69xKQN3AhkIQGBHKd5aNs8AR2o2JmnmF779KR2FrSPU3LdV3sOu4p4UKDbuCsYQJ6e4jpptTjH2GhYCt0LlwK3qSXt7UO01p+rGfVbVJ/HNUc1y5+ghsAOtb+aMBaZu9AnyyG0ouOYuWFSmRqgEtkoTL3EmitkZ2RokTbfLZfAcs9w2pqiyqZXAHu6ZVMhtim3lAB4s7roKGXjwACS/weQ1aAo1HBVjKvQpQdVhs5upM2dnO8Mjf+D65t42PWSxxsYtjD/utcpZPlzLKANhzqzh7JluInJKYIcygs0RJfuBNfKcW0O1XXdpr+dydBuRZMGkDCTVQJ7rhjnSazbpve0aua3jrqPlWgs3T/lIdwN29iBRQkVvHUQ1DTb6YJ0W1eHOFfzz/bMm05jMRG9K5ftrjomoLqtupNdXaGKKDTot5p6bwy2bmSmPG/YUSeq7GIiyIZ4cU5d1KlaP5Fdr667T0TnHjfJmhnGqO7e/bAsbqnFrMfaaWDB5sGTL8N8xHAV/+JVt8v2rdxTQzx5bK5MLL31+kP71zi567qN9AYnsUOE9RruZBPJmJLC5mcFE9U12+mSTdoxNG61N6LMADVU6vIL9ARhn6bGwbh++V8g9S6dv1e+Y9+d/Pz1Axwpr6aXPD4jPDSMt8bhkhjNBujnX/KHFD2FCSMypJPDAgQnuX98Drw5xjBeBPVQre1HX1yAyp9rizN8tk3ycDt5ZqQ1jWXRFu44hjqMbQzKx4YucAxwZN1s7zZrsjo17tfvOjLGplJoY4zUKFv+KMETd2fuJnDbSp4/RgnoeTBOXksljcMjmyxwAiHYgsKMQbmGgUpN920gpsc0DHXUhUO9TrtjSoovrsOsrpJ2G9rvg0sPZPZWZOGJQ0HWuvqia7HJPHbaKKPcWXnHUjVO0anOm6q+5T3iBY1ArYyzQPXwzYEriJpKe0wad9qCj2G57sxY95v2TPKwlRbyHApv3J7fpssck+xW9VSKLXTWLKjTH6SEe0ZuWpK1vdr01JBFsdbzaY1NlAoA/P8Yc+hIF1fqrxKkd44G26tJ8IdxyM1Yp3/7C21G+0+MZEQpzm8Yv/y0tkjoqSZBWNetfleU1jl1IRj+c7b29R7k+PQyDCocq4xk8tltnX9VDV9qGNdWF5vtVbTMPqNqUEvHkg/IAUQPjTj/Hkzqq7lnVdc30ziot/fvyk8bTDRdMp1Pna8vPacCSVs3ra2/qcjKK15ONwxg1wNu0t5gam51ST82tsxg2//rldfPpmtO1ffr+2iy6+/F1dM/j6+X9yhU8FPBgN9FqopoGO+06Ui6i33rp78l64a/auWx718Ptpjc9Qn/J9CE0ONkqLQb5vLY5XLRpX/vrxcfrtWj3ibOHef0/Llg2hq49c5KUK/HkxTvfHKUXPz8ofhAc3R41JEEi9Wt3F9H6PT0XLYFi8NRI87W0MwHLwkBFd7kFFLP7aIVM6PMk4p1XzKZJIwbJOj3/8b4OU/6DRZ+UKWaGctw1tkQGw5UezlmFvmZan/l4BfB+f/WrQy3Lps61HgjYdlmQQfrvtIUnzdTYSJUe9uS+pq796p7R3fUloC4DY+Z1GVTitnlxlz0kZQbxP3pO2tVxSrSz6EB4utaw6WMHHYD8YaunrIYnKJMTLdTgtpDTGOud3A65KZ/nWmuedmq7yWeZkOY2YWxO6Dm+oxkI7ChEzIK4vQCnbfmkdnMKOKc3qxRBTuXwmnZ5BjU8U6nqsFXEIdj66wOemjUW2KFARbBV7WqvR7A9gkfnMS1qS1VdM63fXUSUOsZ7o2Msi6+g2kYtPTI+Nvz9SaOFFI/ALq+1eQed9sPrg4oaeI8VSxy5zFafCHbPIroq5b/enOaXuFTHEBtfeQW2J4LNYp0jdd4JpMaaHs2IKzFfZxzUqq49XCni+bbgWug5srVBDacgBorXQKyHk22cslb/zm+o8bO/i2C07/mK6t/6JTWufJbq37yfGj75GzkK9pFtx0ctPWkXXdbt5/I1wR2bJGm/PNmmUvZDibevuqcNV1ewgysbScnf9TDKJTXTZVnUvPlt+b+kkHYwkcrOt90N+nniwev34bkXfb45V0Tw6CEJIhCZMxeOlI4U7LhfXmPz3t+cZS01hh22OeKaypTh3gH+tkNlXqHadvL3hDnD6KQ5wyjWYiCjQS8/bA546+WzafKonpc6MfyZi6ZqwmDb4TLvoL0zoy6+5n24PpsO5lVLNPrC5VpqOG9vXlbGN11YOYfzduL1O2OhFhVWf8Pbk/txM59uypEoNkfnn7r7RPr19xZ4JxLeWHGEGpp6N9IkxyfvE4etUwErxzz3lY9L0SZf2e8lu8I7ecHreMUp4+V6yqnifCyFbPkMRukUEO4xCF9vGN++0ZxRoSY9OOOCJ0T4WN7uOZ6V/0tP2iWq+nYuE5Tvb2M42BmlVY3073d30f1Pb6A/v7qNvtySK2UHvqhAjsqO7FEmoSfQ4Y1g91Bgyzpnb5fnbObWHdwOiydP+dG7Xn4aLvqL+JL4ZEUGkx6eX1ovx8nsCWmeLiI6ajQlh+X4ZR8a2Q8GY4etEHkC2DRFy1Kz79ayiqIZCOwogwc9yvhD0lja9MRTAxI2jXIc3azVX6eNkpu7QtVha/8xB9UqqKHJLjc2ZqonXauncB9spqA5rm9TxD1pqb5wet7Pn1hPT3+4V2YMY074obQwYTMVNhaqa9BMZlCDHXgEm1P8uM8l1y2zmVUws/PetDIRto0yoORUTxU1DpZ4j5N4jTHFL4Gtsi4c1nSvAY8S2Dwo5HVudJvJaer5Ma7+toq0koqMHk4mdOUizmQ1eCLv1cV+19hxerFqwWYY6VOH6iecai9wen6QEVk2fWz64jFxi+WBvWnyCRKN5c/kvrc8yGFzlsYP/0S2TW/J37ABFadkdgVPtt356Fr68yvbSOdZznAYnXmFaQfRdD7Odxwuk3pbNtSS9ykjSz/NwTqDt0XDO7+RyVxO/WSDtY7gVM7uzg1nyTFPz9kEEcLs37Fqh3aen7d0tLfvNE+6cVsqZm92pdekqqte6Np9zmMAp9PJNjnkcQRXtdCtlleno2vOmESP3XGCCE7++cdty+m0RVpqdaiYPGqQN+27K1ikPPDiVnrXU3vO7S7V5COj2lseya9pJYa/3JLn9Xbwfb/ihNlDvdc/3rpXnDzeO0Fy1qKRkk7O16iHX/2WXvnyoNQ19watBGwnE2cOT+mVtA/1LLPapzxRwHCt/FWnaucE1+2z2AgV3qyUcJV9SMcSbdLId9Llf2uPSVSe2zpyxsVpC7SJkxc+3S9jEGWC1dMItgRXmuvFdFKuhX6I6wdf3EpbDpRSYXmDdMN45ctD9H9Pb2htTJjpEaJFB4NOr/dOUnsFtopg92xf8PVQSrzMVu9y+ovaR+ES2L4Bm0Dg/aHOCc4AVV1EagzatYfbYoYSZ55PmY+54+xAE7eR1BmkFp/LraIZCOwogyPSMutriiHjuEXtfs+OtwxHHZq3vCPPTRO12myFr6GGcdwCueEFAtevsTsrD2Q4ahZoW5PO4JQ6plBFyqRVV+/ViPmmJn20Pove+Pqw1PIxnJ7HrrTqRs8X3JgTfuBts6JcXJEi7j8pSdrNoLymSRxU1cSPMnQK9qac5+nRxemVPS1dSPBM+lSQfwJbHUMV7kRv/bKvs3yqZ8DbZEnpscBWztqqtV04WnT5fm5eg0VrUee0kbvev1p5Fcngdk7dmQ6x6FL1hgo2nZH2KT3YVlJ24HaSPnWUtJeKOf77ZL3gfrIs/57MtvMjt57iGlmuceSJS/Osc7pdVpXezFHHemNyWFqjSG93Xm82khmiRWcZFkYvfn5ABP4/3top9bZ/evlbmaxiTw3fyHcwcGaFbzsgTv3rbP95I9hdCWxVf83psDq9iEU2NePr5axxmthSTPIYZnIJEncEkM/upI2fGMCVHm3lYsyZI2qCjUVkXzFuqDZRwIKE64c7g1OcjxbUkNGgk/T1c44b3c6ZPCM5VkzZ9nuyxvi+tMGT1q4M3DqKot9x+SxaOmMIXX36RBqZkdDqdxwhtZgM4qXCYp3rsx98aSsdzK3SUkF92qaFGq+A7eScVpNyRo8Qstmd3owgTnFXsBHc9DEpsqzPhTBV3Bs1DZdxoZRw1Er9tbS687RbU6UKF3myD9jkLjHOLJMwR/OrQxbB9tZfZ07q1n+ntsFGf3tjhywDe+3cftlMKengsR+fw4+9s4u2etq1ihCVEsRKctdqUfdATb/cNWWtspd0IUoR9xrKjZwVsJmbty6fRXoI21CpiRK1XwOBjxc2LGQWePwrVBeRCndCWFLEW67jnWc9cDDPOHaBPLdFeRQbPYOiDOVsyX2rOxLGnPrCLn5k9xhjpI/1pmwoeNBiOe4qsh/ZSJb5F3f7nTuPlMtN9/jZQ6We7OUvWuprTp47LOi2Dm3hmz2nx5U74qWmVMc1UNyfMEg30ECQ6BjP6IrLcyy9/Y3Wd7Gh2U7fO2uKrLfvbG7bwTbfaBgI7CAi2NWaSQ1nUrBpXDA9sVWNJg+Mcj0Ce8Tg4NvtKOI9kz7FqlVXV2mw7pYWXTmNPLtbT6N8BrVMUpwWEa8zJFMc5YYkgl3oyfgYlBCe8gQ2o+PBv8OpJ1dcKunrSmSw44+rsNcDopN+vwoWDH97bTvllNTR7PFpdPPFM7xRTR6MOxuqZH396YXbLi2Qa4j5+rLwUu/AmQdY3H7Ii+9zP+B6UG6HpKjWDyJrGAbkqk6So0yc/s2wWOPeyEpw8DWHJ/j4GvTBuiy6eu64Frdhtzuo67MjZ7sWcU4aQnGXP9TlZ3gFdk2ppIJ3NHhtqffUBmY7jmiDaG5dp/azYuII7Vw7WlBN+mVjWwynOvhsEWhcZmEwek2CWs7/+JB4gwQLCyO+xvEEIk/6qYkDX3i/sakZc/8181uJR1+mjUmh4sp8cQefOzGd/rf6mIhKTq8fN6zz+2Nmahz98JyOB8Nc2vXbHy6kHYfK6GhhDW3ZX0KH86rl2OJMLK7//eHZU7wR9M5gUdt2H3aHnNP5ezo9X1qyyYZ4Jyl4rp2vReoayvBx+b2zJtP/PbNRJm04VfzMRf6l23LrNg4WcKZBWlJsh5kzYXNiVoacbORl1NaHI8G8zTnjafww7Rwwmwyyn3jfHCuqpclztHNNBKytMaieyTJ5cmyzX+nhHDX/51s7xeU/NdFCd14+WyZcZ44j8UtgE7ZVOwrFOG/6mFSymC1yreKeyBzF9mYg+bts7IvhMe7UxWkTq+qazaae3KlAba+A1zlrm7bOHaQ2++V8z34Qtka59wXbTssXLuHU2sLqvNdQf8kuqqVnP9pH1XU22S+LPeUoypC0xJ4Q8uNX7qXK8byb48Y8/VRyHNlAjiPrybX4ctLH9Hws1h9BBDvK8KaUeMxs2mJIG0VGbuWiN4qwtp73iw6FuHnG6RR34S+lR6eio1lrFtZ8gf14Qzb94on1rcT1vInptHxmzy80vjdLvrE7yUCu2EG9anTmjV7HJdPevJZUVI4SfLD2WKs2KQVlrVPRqmq1KDfXwShBBgKowfYIFZWq1lm0quv91+IAr1JlR4TA2V6l/Bd4blgSeeCU2Q6Qvu1Ou0R5D1VoUYG2A2YedDNVHqf8YFO4fMV8roj5FjOyUMPnpUoTt8d2ndoZSHozi4v80joZLDz+7m4R18z2w2X02teHZAAs36/qsIPYVtIyhgcxljhv7W8o2NjGcErV1Yc6RVz1vDX6uLW+8sVBEdfcku32y2bRI7cspbuv1Oo4eSBObCKl04tbrjL+C/h7s3fIo4nNgLpzUefyI3YPdjs7FExsWKXMfIzDpngnbTtL4R7hcdtno0JH3GDZd1yP25EzurNci3RyFFCJ79xi7TgaGaLMqp7AWTRMXmnH6cs7j5SJcOQOA52Ja4bFC7P7aLm0H2P3dYbrrHsywT14UKykIf/k/Gn08I1LvO7ctQ12MRTjqHBnNdpZRTXSVu3Hf15Bv3x2I+0+Vt7qvTyWUBlgHAX99XOb6I5H14h3S1fdAVhEqeNWOTmrazpvp7bry/eR75yiZW1w2y42z+sOnoT51bMbZf14ufg65EvLNSc8Eey2dcbMOvZ3IaLjpmW0WkfVl/1YQY20OPRm9AQZxXbm7dLS0w1mbzuqtvBYkDP2Xv/6MB0pqJGJjTs84to3C+K7p02SMgSObisTPlVyGIwHhG8nF2X6xWUlnMrO5Y7Bml3y+sq91mDyZroEbOCmsmlClCauJuvZk6CrtrBt4fR8zjThc4InV3960QwJTKmuJ0yhzRry41fGZbYGInOst8NDZ7BvgmgUp4OceS1djaINRLCjDKcfNRuxp90ss01t67O7oriyQVJ9yqqbaOGUDK1HqFtzKPTtF8qMG5pI913T/cArGPgCUVHTTLaYVIptrNSiVp6Ux3DSUsM72OuOztjsLnp3tVYrNX9SutS8sBEJz+xyxJ2pqNUEF998+jJiEqkRbBZSHAXx3sC437SjOaCbjm/EI7dES1UdHoIBtrphlTUaNHdMNg6sKvLWhnZcYpBOx4q1AXW7CLb6PFcCTerBDLO7odor5rPrzGFNEVdGZ3xtqDenkMXPdD3OClGRGl8jRR68sTPuV1vy+BLjhSeoTpk3XKJQnLLKv7/ilAl0gre+OfDBgmqjZxwxM6hWhB3By7/P4z/B0USOPBXa4mh6FymvQX0POynn7GgVdeE60w17tGPmxgune9OQJwxPIrNRL1Hsomo7DUoeKtueay19J1H9+l6Xkxx5WgaPwad9UGeIk/igTBmAcZp42+iOpKpz9DkuRYQLp7GzMQ9fKpVwbDsJpaLyRRVNlD54nNTIs0hv6xeiWvf43g9zS2q9Eey+Zlh6PO04Ui6tlzpCmVexQVFXcJSV+3nzOagmudkIbfrYwPZtV/D147bLZkltvMPhos8258q1ee3uwnZp6Bv2FtHT7+/1nr+8P//2+g65J1520jjJQvnr69upuKKRLjp+jExCq8wC7kX+0wUeAduBYPKe5+ZYTVx5Pt+31WFbOFWcJx14so7HLCfP7TgAwRSU1km2jMo6Y6O999Yco5sumtHeXLGmOOgskEDqjHk778/WrimLp7XutKBS+/M8xxCnE3NGD3tLGDwGcAGb5ErLvZM6LPvgyZB/vr1TMgIUN1w4vUMTTRZ2bMLHvcnX7iqUunEV/FHX/p5OPMj1JWmwlA1Ippqf9cquhhqyZ+0gMprJtvMTeY2DT8FE/WWZ0kdrdcXluRSKMIqaIOkoPZzTv31LyxTs58ABL5784OyfH50z1Ttp71tmmdNoJYpt6WzRk/7mCocnPdyYOblbbaGTkqaJcgxwRmIwBqeRACLYUYQYY3gj2F1fZAIR13aHk/7+5k6ZZW+yOeUGy46la3YVyonOg537rp4nYoEHLT8+v8V4JNSoiGFDmFwQu+9fnOGdzeZZcSWi2XiGB7S8LXhQUVSupWcyPCHAdGQ0AzqHU/1YVPEEDrsxcyRMygE4OhtAH19p0eXpn91gTvFGPjsbjAVTg13baPepNS3oukVXQro3y6GzCHaxXZmcBTkjr4R5fAo1e4JGKsocDtRnV+tUrXH3EwOqBpi3m+9AjiepWEDzeWS1aCmfXCvL5xefc9eeMUlS3fj33LbI5omaB9M3XJmsKHfpUMDRY47YcARH9W7Orm9pi8KTm6GglZOyZ/Jp8/4S2S4c+VXimuFlGTs00TsI43rzYKNIUobE5TIc9fdzAN/iJF7YuQu61F/r6ECudq5yenNHJTX8nmGewXx+WR0ZVN/kDs4734iXukeqTAjfmuO+gmtWmbYRUoYHyZzyzczpRmBz+73jZ7UMxI+flUnnLek6ihQMfByxOD194Ug6Y6GWar3Nx8SK4ZT25z7aL8chZ7Hd9Z3ZtHhqhkQ5eeKZ04V/9u91ktbN1/a3vzlKX3lqRRleZ5tFmxjgibq2Piu+k6VqnJFXVtdqe7aF37doSkaHy+sL13L/4flNkrbPde0/v0rL/OBJMu6H3t5csVEyQUKN917hEZLcy9jtmSjjmntfMj0+AuxPwVkBapLJ5ckKCQR3c733fDTPOKPD97y/Jssrrnnr84TJtNGdlwMtmqqtw6H8apkUU60C1Vg1uE4urcsS1Pnt73jQ1dxAte/+nppWPk1NXz6mRZ2NZjLPPDPgZfIuQw8mDjpcRjWW95mQ5P3LTu03PbKKXv68tVEcmxA+8sYOOcfYWPiWi2e0EteM+n9RoynknS2cnjaL/maCGdRx6jHzi0YQwY4iRERwvZnM6AXWT7YrOA2aa2x49otnIHkmlW9kfFPnGXM22uBo4K+/vyAss7m+JHjaXNXoB1FqmFx5u7rh2a1p0ruUOWHWUEnXYldPJTCGplrF1KigvN4rnlQEm1M2gf9w3R5HTfgY40kKnqBgISHRqtIsv0WR9xixxNGxcqe3/3VHM8CBom5YPKtP3B+18ECnZk4qellvSpGBJYuHtlFl9Xm5PMOsUs6DqCtT36VStnlwy/V64UKln5e5E4hvm24/ItgOT89Qw5DW0esP1molAOcuGUUXH99ewJ04Z5g4IP/q2U0S+TtcbaLxQUy2yYSkp9yAS2dCBbdGYsYPS/Q6xOfUGYmsBonUuhsqxSytpyiDOCVMmR2Hy72R87awoORl42jfojTVL7cw8O9V7YOGT/d7orYrozOun5b18NTPc50vM2F45+0d+f7DQpzXZcGwzj+7JRKo3Q+r6myS3sybS4n0vkQtA0+4tb13cko1T2jzNaKr9HDFpSeO00qonG46Z8mosN6HVVT9ta8O0cHcaqn7Z5fiPVkV9Pc3d0ha+6xxqTIpxtdxFmC8fpx98uaKI3L940kynhTgiLXNE3HjiWm+3uc2xpAcoTye4ckcnz7QLZMmLVHM7iLYvu7ixwprOx2n8MRebnGtLNsvvjuXkuIt8necdvv5ply66jStlIWvxzyxJddnXp4Q15D6Tugz3x5SvYzbtwjl44Mn+llYsf9LuiejzxFEr2mts4BbBGxHHhoskFfv0iay2BhvzoT0bjOj+L7NpRAcoOGa9oXjh3rHqyzoOa094O3SZnzrm1HgD3V717VMAlvipMTGPPucHt0HDKoHecgEtradDT4R7A/XZXmdwXlSio1g505Ip+ziWiln4IxKrs+/5eKZZDIaOuzEw4e9260jd3wa6aoLZJv5ZgQEA08at0yU+iew9Z5tzRH/cOuGvgICO4pQAwxOs+N+c6FCejsTyaz12Yu7vgCF+yRJjFOuzYkykA+1K29nqAt3pbQ8ckr6MrvQ8o8vnCYlAtsn5c8bwfY4OAL/4ZszD7g4ojCekiT1WgR2AHXYvmllh/M18TPBYxLTU1gQawZfbmqOSZMLamdGZ2o5lKv3yIz29YLeCHaDnoiNdeyNkiapbt6BDkSazMlhTw/3NVArVOYptRypdXaZdu30GKL4tkTJKqqV2jGOlKkIWUfwdpszMU0E9s4Sgwhs7p7A9e/sOO8P8n5uy8ImMp4oaCjgGlJm8shkb4/w6gYn6TLSZDDOx0Ggadkd4R3QeOrXOWquWil1VLs8JNXqjbAbJii34SCiSCrq30X0mpeD3a/ZAOv8pWM6Fdit2hF52ocdyvOco552XJ2lVjO8//XTPJ/dwaSO8uhQNb3sxi1/nxYX1gknf8lMtUrZEKcjs/j3PU9Vze38SYP9Ki3ic6atw3g44fpsnuhgccsmnwunZniialrrsB+eM6WVuRmfs3xOc9swFlsThyeRNcYkIpvPez5fWCTw9T67rJmGWweJCJMyMB+B7a7xpP17RAHXVHNWEn9TR2nKCl5WzohqaHbId6hIMB+DHAfkmnI2AWQuO2m8iGuGTdFYYHNt+8zxqd6yBTFiq6/Qli+EGTCcsqsctnkdWdSqVm6cWt8W3q58bnP6e0FZAw0ZPUFz6q4uknZmgdQUKy+EztaH0+xZxHGmIqd++zve4/7xvM8P51dLRFsXmyTXX9l2AbSB9c1I+XxTjpjv8TE1LMAyoYbDW+TRPP8issy9gEKBKkOR9Wqq7bFxl7pWqs/lY5wno9R1gzNAeLKKf3zNDn964fR241LvMoqPkVm6TNhjU8ksArvnY2ipX3faJAvAX0M2vUyS6LQWm401pLOGZkzWn0CKeBThbUrvc4BzSgkPQrpqZ8W/47Za9z21QWakfY3MOE2NTSz8SVPrDVSkrMjbqqt3Itgq/bTQk7rb2Y080/M6X/zauor3tOfyQIQdMBmuy2QMaYEbnbUYnGV4U9tUL92ewjcsVSteZVBpjYVdLkepU7vxDu6gL7XKhKhvcnrT4IKp21XfxZke8rnhFtie5c6vN2tuqtxOhR1fu0jN1vpOG1qllHHZifIz4IhYV4z0uMDnVDo1o6sAU+pbUvZTA6rn7wyeGOA6Q66pVYNKLiHgQT3jtAZfK96RiV1Levs4ryEWw9HOjsoBVCop12m3tPMpDDhlXU1uqQiEL2xixVFMrtHkAfV7q49JJLalF3ZBq3uRTHJIOyKdpFg2NLGxnTY5Ob6rCLbnOsvbXEWzlHOy97OlN3ptqwjX0UJNqKh0+b6Go0wZKbHt0sR5H33riVQtnxWYg3BvogQfGw9ydJInb2ItBm+Lr45gR27+OxbXahKVMy6sMUYalaHd13OKa31aYRV3WYfL/dBVhgZ/RlcTECrCzYKejfTuemwt/ejhFfSTP6+k2/65muob7ZKNt2RGS4R0xthUyZjho/ap9/eKH432/Z0bsfUEEdfc6omj5NZBYlzHpwxPEKg2jm1RfgJsLMcRYdPUk+X/TSueCuh6o0SdwdMazBc+N1nUqkmHQIIpqlyFnf+DbXMmLbo8NfmVlEivfX2YNu0rocfe3UUOa5rfn8fXn6ZclYXTUlffU7h2m8u/go1iczS/8fN/UtPal8jF0X1PWZsSrB+uz5JMD45Q//YHC+nUecMlC44z8ThDjV3bb7t0ZreZeYken5dGs6cVaAiCVFzvL8uaPMzvrCYdH98JaSFpK9dfgcCOIlpmvIZ6xfFfXt1Gv3xmI/3lte2d9q3km83Kbflyc+QULp6pVXDqCX8On8gq3bEvSfaIGeWMzOlj0kIrjPCFT9VZZdVp3z80reNtoYS3bwSbB0tq1hEE6yTe5DUSUZNJbPLk1/7zmfVWRjqjh4RugK0mTkrdnlZd1cUyGGgXqfPcyAqa41tNHvjCN0rl+MkzzNrnBSOwtb8p9/TbDpeDuEJ9flW9vaUeros0cdX/kvth6j2ut1z/uNFj0LVsZveiQp1PPJkVaIqg78SFb6ppMPC+ffb93XTfkxukNQpHwsZkJkoE1tdh3dvbPAQDcjdPJHCrRYPJK153etLDOTW3I4akatcmNmF0xCRrNXhOjpYFMCnRUK254ZOuXTole3VwC6e/vrZd2sMoVm0v0MQIu/5ya0XPwNHXhEzH6YpGMx3OrxEhw/Wvvu2W2qJqbTk7qNFt8bZq9D3m1HnDv1PGRYdylcDuP9ESJY64zZKvyZ/bM6kdCq+IcKHM11isfrJBm/BZNmNo0OU3qi4+u7iu07ratgJbtTGb4nE47wqVFcFeBc98uFeigixeucyLs5B4wvTGS2aSoY1IuOrUCeIJwNFk9qNhsRkuJ3HfFHi+fuz0rF9HWSkK1bZLlVdwe1V96kiJDDZ88lftvHW5uu3R7P3uQe1LDD/dlCOZFjzGUfXs/qImtLinOl8n2OjT9/v8QSZs+b5qMNLOwpb14GvAwUptsobriTkDoMvPaaolVyOPA3hSr/PMMG6vyh5DDJdAsAs6ZxJ0FaxS0eZgBLb9wCpyZH1L9j1fUtNXj8trYvxojpXJN76OMpecMFYmi7hc4Z+3LafH7jie/nX78XTVqRPl9e5QWTI1+qSQHb+uitwOJ2ZW7ywQN342SOZt2Bbfid5oBCniUYS3Kb1nwMVmZJyuzHCKE7eouOzE9qk/KhVN8eWWXDp9wQi5uPum6/WHGgl1cSitc5EuMVkGezyo9k0hCzXeSJd1EOVV2L39QztiqOf1kspGmZjgi3FZVVOrAS4Iohe2J82e94HXrbsi36++x+oG0mhJkwESD6I6myAJBhVVKGyMoSlcK81tZGpKSeczSBFRwSlUOj3lcpSXmjuMRvA5xpMK7HnQaEqhhGBriz3iosTB50Xr1NNwoCLkbEanHz1EJkDkvOkg85oji9wDU/XDVHCdIadv8j7n6G93cAYA70uuU3VYU0lPRwOK9rfUOXbdx7creBD25spjXnHBA10WTOcuGe29XnL6PE8Q1Rm0XtihcBJX0Wut/ZRBM8TK0gyxZnWQRsqwhwabxvE2LqlqpuRBQ8RFnO8b/tbgqfRwHoC3TcVfvbPQ2y6Jo5jnLRlDb6w4LNHNej70E9O1FPmqQtJz6y7f7gyeKI2633SXYcLZDXxMs0DiycyhgzLJKQ7+hS3mOT6ZKyqFXqXaTh/TfY/23mLcsCSJxKllY88T7qPOpSecqtyf4YkkLmvhlFOu7+dD/pR5gZWzdCSweVLaNVuJsJIODSt5v7LQVZF+NlTrDnZV/3JrntaujojSB8XQT86fTmaTXsoH+LibOT6dKivr22UacHTwD//dItdmzvj74Qw1ARDaCLbvdYm7Z/CxwMwc273A5mxD3ibWmFiKPetOanjv93LO1b/xC25IzjcHMk1aTpZFl5POZOngvqHS71vuXSwyOTPnkw1a9Pqi5WMC7mvOk9B8/WH/Gp48GeGdnCgNarvsy9HOFcWeYjeN48wpp136Ybc1QfPF6fGd0HeRucQTFf9+b5eUbXApQ1FloxzjKntmwZTBdNaike3qnNnAzZmz3Ss4A8F+aEN7f42M8bJfXvz8oEwC8YTbpJHd3xu7Qk3slzkT5PYcivtRS7eGlonx1TsK6PlPtDIwzmbisdedV8z2BhDk/XzdztkRtQIbEewowmvr7xmsfO1x5lTmHp9uyBGh3RbVdupH506RdEbuO6wEjZrx78pwpjdJ8QzkpeZKXaQ9J3e48L2wF3hSvztLEWdzFB5csokLp5JxVoDbE5lULRJA8BFsreVPYLOeaoKkSMSmVovakQFIsKhaPu7Lq2ejM75Btkl5cla1OIiX1miTNGmJsV0e49X6xKAGcJJtwdFNvrF5Mj3CnyKuRRtZ7Drj07s8Lx25u2UgxIM47oepWLlN22ZLZwzxq+aUb9Q8QGZYvAYa7W+JhAUnsLnO+O5/r/OK6++fPUXaE15zxqRWExoqul9BIYwYqHIgj3Pt4bwqiZyz2OnMEEvVajJ8XVLRA2cAddhdpYez0zFz2YnjJLLCaaTca5ojg5v3sZFO+zrslgG9di0/6HEQn+jH/cabJl5W12GNd4sTs7Z/dxwuk2sxb5/+1NHBN/rIfaFf/VKrrT9v6Zh+kTXWFXyeSq9tz//5eUelL4FcR/gY5iBhhbv99c/XsFIXEy/HHKfNckaDP2n/k0cO8m5TblvHJmz8d5wlwLXgXTnLc032TRfPkHXlCZFSR0LQ3Qu6wvecYNHPwoQnxrqadOJsHt4GnKW43pMFxJlB1nPu0ZzIuXSCM76cNrLv/Yqavnmm3WfIxAW/R6f3pjrnldTRPY+vo1e+PCQCj6PoHRkodgdfe1TWCK+T19U/gHtbS6vUDG+rPTa8ZA7lVfvtJN52nNwWNovjEhcW1wwHqVhc8/iNJ2K45JJLX1R7Vl/0qsd3gA7uXLPtKtfuI6rciTEMnyYTV3xd5OP1Sk8/91BkgRbYPGVVtSXdZjZ0R0sLUu06zveiN1ce8daFc004m1K+/rV2bWvfXQIp4qAfI2nMYtijHbRcs8qpkzxOvfniGdK2gwcXnBblm6rBNXOq9oudPlW6GptRsEhUEYWJI/qHwOabL6+TpHTFpfdKHbb6fFf8YG+LJ3YL7+xGoqLYvP2V6RDfwPtDBkCkoQQURw2abI6A04p8Ix7Z9dpnsaNpKFEDNk20dGzm5NuiSx1DndXTKbf5MldiUK26VEo8p5cVVmnnetvWLqGGOwqolkp1xpQuz0tH9jZ5NIya4z0nuOaSBxE8wXfCbP8jYCqTpGVbFQc9KAgEHoQ9+o4W4eD+w7dePptOmtvxcisxV6QGNJ7euaEpB9KOt12edk4cme1qcqJVHbaaqApgcOM1OPO0BVPw/YYHufzNbGKkUmxVix5uvdTRYKrFhGyIpI6q66U/95uWFlf1HYv3NhFs1VO6P3iJ+MJmhzwBy5kF/3hzhwgqXjeOkEUCLEwfvnEJPfDjRT02WePrAU/KMPnNnk4KPoKpbXr4qp3a/j5+5lC/7q9sbPd/186XYMIffrwo4FIhfr/KENlZovNOaPL4K1R4r0tJGbTzqHbMssN627R1X3jdl073XAs8KeVqO8Vd8nuKPeM2ij3/foo9/TbxO3Ac3ex1728rYPkepTNoya3//fyApIXzhOHlJ42XCYlgxzFjPBMgXIcdaFstbfm09zrj0qnUkxXIk7FMYUVDS/1zN2nnzkptPQ0+0VZfOLuBz0G+D9995RxaOn2ItGH9041L6G83LZNaZ+U4z1kxJZUN3pJAg8fBXUrYAihdVBFrTjGPWX6dPOf6ZOOoObRhT5G3/3laCO7jKoKdV28RDxQpE5Kyn+CQzAfvtVbbr9/sKJBtyJkLt182k268QDPa+/rbfO9ELGMIMFgSaSCCHSWoQYuq2eDBDsMzslwPxf1jua6NB/erd7QczHyxc3uEDM/QelON8qtFIPLFlWfteBDQH+AaExUdqlcD+XBHsD0X7FqjNuhLijd7DVq6Mjrji66KyEzoJxMUkQaLV26pxVGKrZ5UwK5a/nTaN9MST1kV2iytmkQK2TL6TKi0DPTbRLA9g5fm2DSZuOLZaD6OukqLL1QDzNqydjXd/gnHdG/vVnb8DTdqoqHU45Le0UCH18ORu1OeG0fN9r7OaZsMOwwHks6uIrIFnm3l74Ct9aAgcIG94tt8uZbyvvr7rcvptEWdd1fg6y6TXccDGp1WQtDYOsUxUNpGYdgISQ3E/dlecqyqesEABHZnEWw1aOLrnG90WKUz8nVQObU7VaTGd6IgaYi0T+JoN0+i8jnfHcPSPEJMjM7a18P6ijEe7LX0lA48AhdOWDhx6jLD24D5zskT/Kqn7C/wZGFnZVOBoq7PR2u16wAHDpR5nW99MpcjsHM2T8otnub/OcxGaEumZ4rZWjCoyZ9Dxc0ttf8BToL665StfBXYaK07VKYiB0W4dEXB3gYs1IxDJpBx9Bwyjlkgr9uPbOo4zddzLvH1jbMqWE7zpARnpHRmXOcP47wC2yeCzWZefnqpqOt1tad2mLMdxgxJlFIKLpFpjkkNKIKtxF1bvvHUOp84e5hs0x+eO5UuXD5W1p2PHY4ic9YDZwv8/Il19IsnN9D/PbORVnybR/rYRO81OZA2ac683doyZU4m09iFFHftvyjuiodJF5PgrcFfOCX4UqaOxhdlNTbSJfpvDtcpPLnkOT+5Pzxvl888ZnhnHzdKrm+c+XDWYm3CkIN8bMYn7/dsK2l3Z9cmTaKJyLmCgy5RKanqgN2XXdEq1Y4jTCqdxjdNXAlxlQLO9WAqgn3IIw7ZAbI/3exbBvLBpdAGirr4KPdnFaHuDPX7IwXVtMtTPzUJAjsoZGZ+hnLRzJaLd4vA7l4YtKSJclpZXVgENotXVQvcGJPW4aSP+r9y9Vb1wx2R4UmxPFZl0By53V07cnd2vDpi00Sw8AC0N3qwq/Myv0nbvu66MnI7WxubOIsPazdkS5y3FQzXDG7yCLRT5mnRAX9REdljajBeV9HuOztNo/cZFAQCZwB97EkLP3/Z6C6dixmVMltY1eztf90TozM2K2qpXR4qA2GucdN5spC6YoTHeZ3NK1V/Vc3Z2+VXGqM6Dn0Nztic7vMtWs3hkumtzZF4YpYHpjxRW27wiOCybM0R2OX0ChOu6W5JD/fP78MbweZWXUpgV7dkB3hN7JIyaM3OQrl2cHQ01BksoeDE2S2DfY6wc1rlQMVr+lbmEIGh2v7Jo0/Gg2ofyoN3bj3UW4z1EYreMrUuDB2DbdFVa0imnJI6Oa9ndGFw5rvdOJjS2OykvJLOI+rGsfPlkQ21fDNp2tZfq0g4R55D4eHB9fq8LtwircZpDrjzg8p2Ua0g+VrGteAZnntAtU4bu3ZXU+ytwU5ub+TGkzY89uV7c2dGm3xtuuj4sfIeblmm4PEJ18yrtolOPwU2X3sd2dvluXHULG3ZYhLEjZu3FRtG8j1cBb96ispm48/2Rv17ILC9E/rsj2O00LcHS+WelGg1ebMqmEuOHyfdAzj79MXPuJ2fW8o8vJNUURjF7j+qCYTG4Cx5qMxeqnQ4X+dJNcPJAxnlKN7WVEadxOz2yOY03fUj7Qu8A3mVcukzqAoH6sKe39R1iy6FGsCxOQlHTvgGMHkUItjBwu0oEqwmSRNn4wyvwK4u6dYx1Dv5kpBORZ76eSUyQgXXAqtWO0WqD3R1Uatj0uk5hkqc2s1Evb8jMj0GbIWVjV7xF1Aqnee9tZ66ZJ6x7iq9MFSo6Gh2tY6IDbAkSlzaYXq4ccRMb4/sDaqOMi0u4EGEipod5cuYGNa4vQPUrlCDMF1cskR4FJyq/ubKw/S/Nce8qfxtefGzA3Jec91jW0HZESoay+36dAnBt17zLjuLDadDJl/YfZvbYDGjMxO6FRrshMzwuSCu5rwPOKJep00EdoWr5Ih3skpnbimRYUdmHgTyILzt9uCJWdV66Sh3YGA3b6ddTIC0dkTsCmyW/aAiNf6a+PBEJg/YaxvsVMdRLckOaNZaf9kavSVT9tg0+nSjNiFy8rzh/bJUh9eZ05Y5Snj9edNoIKMEdm5pXTu3aVWzyyZW6z2psxyN7k24hp/FFacHezs9hMhJ3Nuiy2CmXYUOr8BVrZW6gsWmOr95Aq0zpDWVwSjbUnk5yDp4J+2GeJ3huzNXCwQW/2pS7EBOpU+aeLF/k4qeSRbVyWX44LhWk6xF9vhu9wVPvqrP6SiCrZy62R2/o1aHCp7IvPeaueLozdF9LvHg+wWvl1dgF/onsJ0F+7UyNlMMGYZOafU75QrPxxyXN4QCvk5zTTRn0jWZU3t8P/JmgnkmOVUXohPnDGttaKbX0XVnTpIJVy4FYiEeaEZipAGBHSV4U+0GDaW3vzkqbo18QZs0skXYcX9HrpPk+kE+wLlujo0HmKke8c2RLo7I8cmnLrAqfa2/oGYsj9V4Ui659UsPUy47w7eX6qEqLS1c3SQ6gx2QfXtef/fUCb0icKIVPo7PX6qZh3yyMYfc1mRNTLk5Albi1+RIjT5Zjmlu/aMMuUKJMpY6XBvj0z5Otd3hiKO2HDmN1lZR6q4mkNhYxRUXvMAu9pi69VZ7ODXxxNHUlohi68iOM0elh8+RR56EUIMaruUMVPwoUV9RYyNK8H/A5puGycvw0fos6Yn7m+c3i1suC+x7n1pPD7/yLd3y91X0y2c30nurj9KzH+4VgyMeYP/wnKl+ndd8TWWhydkE/qYxdrns3mylIRLl4P7DzPQx3V+nOf2al4enfo4V+dQul3fveuvI2SWPxqFa33IWGB+uy5LWZGpA1VGm0yhPnWtWcT0ZhkzSPit3dyszp+p6Ox3xDCb9NVHiQeJgz7lyuKheJhtkXaqKWkpDYhNpe1ad3A95osmfCZG+goUi17nyeg1k+Jzm44iNkmxtzhd1zGTVx4r/AQubWeN7d3zCAkGJuxYjttAIbFVnzMaLO4507x7e2X2IU+c7g0sIDcO0SRyuxfZ+t0ds8xiSU665nz35GT33F5WZwcGHFqOzkoBadB2s0K4xIzzt61Qbu2NcguPZF51l5Mg42e0mvcVKOmvryVzOxFEddbjveXdwZid7DnBGwxzPNWvboTIyZE5sydSxd5/+bt+3Uh5N448jHWes+eANgIUoet3WJ6iKEnucUeVth5gwWCaoOSu2My+VpHgLnbZAKxV6Z9XR1hmJUWh0FhGj/sLCQnrkkUfo3nvvpZdffplstpYem6D1oKs5Nt07g3TNGa374vGgULW/4UEkD4w4yMYpeSqNkU8+33omvoGNyQxtxK+nDPcM5LNKGloGVSHoLdsRvr1UD5dox52aJe4M3uY/Oneq1MzccvGMfjdBEYlwuhYLbU5rYldNf2c91XFR6Jnd5n0XjgjWaI/77NHiJp80YO1m7agpk6gdRwv3lWrf3ZWnAZdzqJTuFnfswPs7Z3nSpjtzlQ41ozzboID7vqtIrc9ysxGQuk4Zh2kiLauoVtIg+Zw5LgjxwxOGyp2/OSbF75TDls4AGbRhT7FMSnIEggcGnKLLgyZO/+NjjdOb2Ujr/bVZtNYzALvspHF+uRYzLMLV/q7ooj7dX7wpjjIQdnrb+HRXf61QLaq2HCghQ4bW5s5RpJnsdAZPQjhyd8hz48iZ8v8n3tstgyS1HzoblHJkneFJXf5b+T5uZeNT88nRDLenTjOQdNQZnnXhjC3lqC6tx3xqddd5Ip1siNSfSp1A5+eLcoj3Tfv1zUpYn+Pymuj1xT5lccXkNbU3YusJLRlXg2mvp5RvZgATCOoafNRjFtgZpnGL5NF+aK2IUdm2nswf7g2980iZTHDwZHQo7x+qlnzboVJye8du3W8774RZfLrcL5gRnnVVzu/7y/Qe0y47uRs6DrioiURzRksbRcXGfcXeNpHdldq0ZY7H+I4FNsWlihcSBwCcnqyfTterroIcx7bIc9OUE9v9/lB+eLr4qDalXifxHngIeO+lSYNp5bZ87yRpcifX8TMXjpT7BfuAfLElN+CuMJFEv7/b5OTk0IUXXkglJSU0ffp0euWVV+iGG24Ia0pwpMEmEe5aLdq8tcgos498oV00JaPTCwGnf3MtNhtEXNqm1yan0am0Rp5R72/R19Fcy6Pj1k3N4igZyhqozi7s/D2cFsoDcGWu050Ryg0XTPfObIKeRw3UxA9HPFtmPQv9uvgfqja3cjINNcq7gDNCdIlDWt0w7BWFLTO8pVqa+tjMRL8GcAUq7c3Pm4/vIHRvhbFXBbZvi50aQ0q789JZookxrlvk2itG3ZAXTE73upAHazJXo/N/MkK9hzME3vpGGwSdPHcYPXLLMrrlkpl0/zXz6J4r50jLrZ9fNYeuPWOSCDQWkXd9ZzadsTAwh2c1KZfrGZD3KILtE2ni9HptUGjxHjPdscBzXxDTwCGTvWmKXX5ndaE2ANcbyTB0qkR6VPYT9x++9ZKZnaaxqhKjLDYxy5wpWUeu4sNeszuu+VQ1+HMnBXa9VNHurSzQkz0mamXZ3v3rsKZ5I/zHTeu/0WvQcZp4QbMSACXeayBPdn+bpdUYz58UGuOnQFGTayqrLXQRbO24rdIlicDljKuuWod1ZsCWU1Qr45XOMI6ZT2SKlXPaVXLUO/Gpi00iu95KH6zVzAx50tOflon+Mnlkskwe86RlTn2s39tOXfM4gMQTn9y2TGVmqcnL/PImom48Lpye/tTmwaPbRa8/Wu8pI5k7LOA+31PHpIhxKbcT5QwuFcV2FmjZPZ1h37dCSgIMmZNa+Vow3LKvoFQ7zrtq0RYMavyxv8LkU9IWXKsubyAhNtXbIo63YWewZwlPUDOcKVZv0a7hzgotMBhN9C/l1AH/+Mc/aN68efTQQw/Rd7/7XXrhhRfo22+/pZUrtbQKoAyU3OKUvOmYNoA/blpGh5G6RdMyxKmXZ33ZcID7trZNP+GB0m9/sJB+/6NFtHxW96kyvQ1HMlV6UKUaVIfJSVxdqCs9PWz5ZudbVwJ6jxM8xyJHu+xxg7sVntwmQ7Xo2pyvnQtTA5yZDsTAhQViY7ODagzJrY5Je7m2jA3mFDH44IhrZy262oqSfdWeAaafNx81WHFb4jWTIBkM9o6HAl9v1LWEUzgZp0+Nn5rNNwwe6zUL46gBowwYg0FFbbIbYvwfsHnes7NEL5FrLum44uTxXpGv82T7nDRnmNTH8vJxSvh1Z04OOLrhOyDfXWrocasul8fJ25Y4TCLvzMlzh/s9KORewHwM8gD8iN0zGVSe3WWrIZXabxg6mRqcenpjxWH5P9cgcm/grgaA7Nasyo4OlLq96anO/D3yWOxMlF6zPHnZ0aRwV0wcOUg+m8+7gw3aMjgL93sFQ26jVSZ8ODKuSotA/0cJxT1lRu99WF0Dm+Mype6e2+OFWngEej7vLDW2uGEH0JapOyF5rM7qjfgGInA5asjRf76yKB+ejhBn8ZGzvGZnziLtfGanf+4BzVFivhaeMjcw08nu4GsUt1RjNnpuaX51A/FslxJ3sndCW20XXmeeYOTrS4MpucuMAp5MYEyDR4kvwyNv7KDH3tlFdzy6lkoqG+W6GMy9iAMAKv2dPSmMKgXf4w7eEW6HrSU9fNqp7X6/60i57Ec2ZuSJlnCcX9uKdJJ2L94VQUSxpTbeM2mxscAo5ac88dFdm8VlMzLl3OXJkpXa7UzLUvEjpT6S6NdKQerzVq2ik08+2ftaWlqaCO4VK1b06bL1J9SNxx6fISmNXdWx8UXppotm0JM/O4FuvXRmp30g+YKh0rT6Iyrt+lC1xz04TE7i6sIuBj0e8wvQN/DkBpcrsEjdXW7u9ubsLNVupnZrOlU06WViJlzlDjxwUP1191d5jknPzK69Qhvs53lM8maOT+s2TV3drDfmG1raWPjRa1UJi3pjsncgGOqbc1fMnahtgzWFHrFbluV19Vaz+Txbz/XlT3+wV26wbArYkxqz2Z4Uyh3F2u3M17in00GB57j58pBW9nHx8WPJZAxf7asaKCuBzQ7mwfhGcCsTtY/f2+OU7cgDmlPna9Fbf+CMpAWTPYY0++rEtIxVqLPoUKd/48jxpIePmCmingUOf6+/kXyV5rpmVyGZJi5r9buP9tq8Nfi+Lb78gbepGhB/fMQirtNcr+k4vEFe21GiHRPBlB+AvmOGp9xhe6mJQwdy/XPk75XX8myJ3nOqr1L+ebKGy+dqHSYx0WPa9pUOFDbsVJOQ64pi2pnU+ovqPf/aV4fo/TXHpDSDhU9bjGPmyqM9ays5sr+V53nG0ZLZyK1Zb7tsZsDno7/lXnz7W1/Qsm9d3fRhdnrqc3eWa8vj67LP99KZ47R9kG/TAi/Ocq1NVNvsLmextn2/zLXSK18cEqd0zn7hCToeH1x//jR5DAaVIbN2VyE5h2hmZa7SLHJ5JvkVXB7TtOa/1PjpI+LTwunkxtFzJfN09c4CMXJtaHLIoxovhBpuJcttQpscRI2xQzrdZt0h4242yTSY6K3t2vjk3CXt0+/bwr8/Z7EWsf9yTw2RdAtwd3vvjjSCO5J6ibKyMqqpqaFRo1qnTowYMYIOH9Zm3KKRiqJCyttTQA31dnEE54kGFezgRxc/59c0z1xKyVtFfHhur9IGqTzQ764hfX90Ug0EHjBxq5wtxSZanEDUnL+fCrbyoCq065Was4d4SLy+JF5uCgsm901KGtBgg4yn3t9LH+9tphmJfAM7Skc3riS3MVbOhxbclJD9DXEc4GCjJjaXTh8S1nIHjiKu3llIGwoMNJ+PyYIDlL9xHaXu3yQX2o3FMa0GQN25Y7M45lYwtfpESnDVUN66j8mW2LWgSchZQ3zm76jRZpAXBhgR7Cmzx6eT1XKI9lW4qTnNShZnA+WteJMc1nRKK9TqfL/IjaNPP9sgaYIctbz69Ek9uh5x72VOTz9QN4hcFj3p68rp2IavyWXqeILQ2FhOKbYGsukslNWYIBOJC/3YJz2B3b2njkmWeukyfRqlucqoYN3H1JSspcppqIu895nnuu9pO+UmstTmUSq7vxoTacX+erkm/eDsKQFn1Zw8bxh99W2elArljxtOQ6mYyrd9SbVlTfI9vvccQ1MVZXgmR74uHuRN67/m9El+Cxw2vPlyS57UKH6WPpxO8PndltJYSfm8YLlmZBjMgP29NUfpcKmNtkw9neYVve393ebyREnd7O3zAPQMNkPirics9soNaZTmLCXHEW3SZEuxNoHJJRt9BU/sLJ46RM6hQ03JNJXKqHzzJ1TLvjA+7+s6R8Xnt3xuVx2jQRzV1MfQgRqrdM4IxmCM75Gb9hVLqvJ7a47Jjy8cmeZ7y6xRqTRXZyR9dbF0uWCx+8oBLXJ+3pLRfpecBAqL9lnj0uTaU2FIo1RnKRWteocaBk/3eZd2/ZEsH6eDMkqyJBq4vcwi277tPZT/v2JbPq0tjqcJcUS2vSsoL2ZCq2tqbOluSnQ7pXvCC6u0aO1p80dIyjqXJHCdc0+yE2eNT5NoOmdEPfZpHl2dOIqsNdlU/PXLVJ+ptUYz1xZQ8sH/tfq7oqEn0LGtBfTNjgIqKNNE6vOfaCU7fH31beEXKqQN2YxMSYs/UBdPs4mofPc6qq90tRtHdXxP0l6ML9wi2qOEUqnJ5pZSKH/GNwwf2zxJy7XYea50Gk61VLn+XUo57w7S97Oy1KgU2HV1WsqN1do6tSs2Ntb7u2Aw9uMU3+bGRrK9fT/F6RwUaPx4TeVgirUY6IpTJvTrdQwFXFfK/ZHX7XJRhTOOUqieBm99Iizf1eQ2UpYjnU6YM0yc2EOBwTMwVY/AP3ifs7v9xj0uSS3NMNRQ+o7/dPk3W2sHS93P2ceNCut5MW54kveYLHfGUyrVUYbnmLS5DbSzaZgYUXFUwh9BedlJ4+nhl7+lNfWj6azYnTTo0Ed+L8uO+gzpd3nK/OG9ei1IjDfTpSeNo/9+eoC2N2bSIssRGnT0c+/vcxyp9Pa3XCOuk9q57589xVu/Hiy8frytOCJ+xJ5OE0zFlLbzv93+3b7mDHKRni47eXyPWqD4ey6zn8W+rM20pX4onRlbRklHP/cUngTOylqthvC8pWNokse4MhDYIOj0hSPo80259GpWBt2VRGQt2S0/nXHUnk5vbNHuu+ccN4qmBzD45+v1qfOHi8h+Z10e5ZiX0jXxa+mjhtkysOdjJtho2aAEi/Slff2rw/TfvXFUb51Ex8ccoH32TKp2x9ElS0fLe3oCrte9Dx8TD7ywlXbWpdPJsaXee/G3TcOlzGH2xPSQ1gcHup/PWTKK1u8toi21GTQ1/hBZy/bKT0/Z2jhMzgmecIoLwpeCr4e/+eFC2rC7WMzE9mdXymSmgktD+B7KP7q44TTPouXormuaQDkNMdIN4uzjRof1vnHOktHy/dvrBtMpsaWUkLtafroi25FKxS527h7ZrsSKa6A5u/DA4SZyWTk110kZWx/v8HM+rhgnIpEnxK85U+tqEAp4e/34vKn0t9e3i+/D/yxD6cq4bIov2Cw/vmxrHkVFriQZV+7fyBJVyx7iicZ4q0nS1fnYZqNi1Skh1JyxaKQEBNbUjKDZifsprmib/ATDuprhMll+3VmTA7qXXnHKBPrHGzvo64qhdG38UbIU76IDKz+mGaefT9Fwvda5+7FbWFZWFp1xxhn01ltv0YwZM7yvcz321q1b5fVAkebm/Th663K5aNWjfyBrHdc1tCynPPNZbF2bJ+XGIbQz4zy69JSJNKaXai77Gk57eu3zA1S3fwPNbd5EBmqfBtVT+Ea31ziNTDNOpytOm4T6634AOye//sVBytu3i45vWklG6szMRUcHDRMoK205XXnGZBoXYifOro7Jmv0baX7zRjKQS6KMByzTqWHsSfTdMyYHNGjasLuQPvtmLy2v+ZDi3f5NKpbpUmnf8Ivp2nNnULrHrLC3+XxjNq3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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plot_road_loads()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.14.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/content/cruise_and_coast.ipynb b/docs/content/cruise_and_coast.ipynb new file mode 100644 index 000000000..acd83a2cf --- /dev/null +++ b/docs/content/cruise_and_coast.ipynb @@ -0,0 +1,206 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "cell-0", + "metadata": {}, + "source": [ + "# CAVS: Combined Cruise and Coast\n", + "\n", + "This Connected Automated Vehicle (CAV) demo enables both IDM eco-cruise\n", + "and eco-coast simultaneously. The plots include a coast-mode indicator\n", + "showing when the vehicle is coasting." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "cell-1", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "\n", + "import numpy as np\n", + "import seaborn as sns\n", + "\n", + "import sys\n", + "from pathlib import Path\n", + "\n", + "sys.path.insert(0, str(next(p / \"demo_scripts\" for p in (Path.cwd(), *Path.cwd().parents) if (p / \"demo_scripts\").is_dir())))\n", + "\n", + "import fastsim as fsim\n", + "from plot_utils import plot_speed_by_time, plot_speed_by_dist" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "cell-2", + "metadata": {}, + "outputs": [], + "source": [ + "sns.set_theme()\n", + "\n", + "SHOW_PLOTS = os.environ.get(\"SHOW_PLOTS\", \"true\").lower() == \"true\"\n", + "SAVE_FIGS = os.environ.get(\"SAVE_FIGS\", \"false\").lower() == \"true\"" + ] + }, + { + "cell_type": "markdown", + "id": "cell-3", + "metadata": {}, + "source": [ + "## Setup" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "cell-4", + "metadata": {}, + "outputs": [], + "source": [ + "veh = fsim.Vehicle.from_resource(\"2012_Ford_Fusion.yaml\")\n", + "veh.set_save_interval(1)\n", + "\n", + "cyc = fsim.Cycle.from_resource(\"udds.csv\")\n", + "end_idle_duration_s = cyc.ending_idle_time_s()\n", + "cyc = cyc.extend_time(absolute_time_s=120.0, time_fraction=0.25)\n", + "cyc0 = cyc.copy()\n", + "vavg = cyc0.average_speed_m_per_s(while_moving=True)" + ] + }, + { + "cell_type": "markdown", + "id": "cell-5", + "metadata": {}, + "source": [ + "## Configure Combined Parameters\n", + "\n", + "Both coasting and IDM parameters are enabled on the same `Maneuver`." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "cell-6", + "metadata": {}, + "outputs": [], + "source": [ + "man = fsim.Maneuver.create_from(cyc, veh.copy())\n", + "d = man.to_pydict()\n", + "\n", + "# Coasting parameters\n", + "d[\"coast_allow\"] = True\n", + "d[\"coast_brake_start_speed_meters_per_second\"] = 8.9408 # 20 mph\n", + "d[\"coast_brake_accel_meters_per_second_squared\"] = -2.5\n", + "d[\"favor_grade_accuracy\"] = True\n", + "d[\"coast_allow_passing\"] = True\n", + "d[\"coast_max_speed_meters_per_second\"] = 33.5280 # 75 mph\n", + "d[\"coast_time_horizon_for_adjustment_seconds\"] = 120.0\n", + "\n", + "# IDM parameters\n", + "d[\"idm_allow\"] = True\n", + "d[\"idm_desired_speed_meters_per_second\"] = vavg\n", + "d[\"idm_headway_seconds\"] = 1.0\n", + "d[\"idm_minimum_gap_meters\"] = 1.0\n", + "d[\"idm_delta\"] = 4.0\n", + "d[\"idm_acceleration_meters_per_second_squared\"] = 1.0\n", + "d[\"idm_deceleration_meters_per_second_squared\"] = 2.5\n", + "\n", + "man = fsim.Maneuver.from_pydict(d)\n", + "cyc = man.apply_maneuvers()\n", + "cyc_for_coast = cyc.copy()\n", + "cyc = cyc.trim_ending_idle(idle_to_keep_s=end_idle_duration_s)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "cell-7", + "metadata": {}, + "outputs": [], + "source": [ + "sd = fsim.SimDrive(veh, cyc)\n", + "sd.walk()" + ] + }, + { + "cell_type": "markdown", + "id": "cell-8", + "metadata": {}, + "source": [ + "## Results\n", + "\n", + "Original cycle speed vs. achieved speed with both cruise and coast. The\n", + "red dotted line indicates when coast mode is active." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "cell-9", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "if SHOW_PLOTS:\n", + " c0 = cyc0.to_pydict()\n", + " df = sd.to_dataframe()\n", + " is_coast = np.array(man.is_coasting()) * 5.0\n", + " cd = cyc_for_coast.to_pydict()\n", + " dist = cd[\"dist_meters\"]\n", + " is_coast_d = [\n", + " np.interp(d, dist, is_coast)\n", + " for d in df[\"cyc.dist_meters\"]\n", + " ]\n", + " plot_speed_by_time(df, c0, is_coast, title=\"Cruise and Coast\",\n", + " save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)\n", + " plot_speed_by_dist(df, c0, is_coast_d, title=\"Cruise and Coast (distance)\",\n", + " save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.14.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/content/developers/updating-docs.md b/docs/content/developers/updating-docs.md index c03524206..a8adb91d0 100644 --- a/docs/content/developers/updating-docs.md +++ b/docs/content/developers/updating-docs.md @@ -31,9 +31,6 @@ Convert the demo scripts to notebooks and launch the jupyter book, executing not ```bash cd docs - # Convert demo scripts to notebooks - python demos_to_notebooks.py - # Start the dev server with live reload # The `--execute` flag runs the demo notebooks and populates their # outputs, so plots appear in the rendered pages: @@ -54,50 +51,16 @@ Output is written to `docs/_build/html/`. ``` docs/ - content/ Markdown pages (intro, calibration, developer guides) - demo_scripts/ Source Python scripts for demos - demo_notebooks/ Generated Jupyter notebooks (do not edit directly) + content/ Markdown pages and notebooks assets/ Images and icons myst.yml Jupyter Book configuration and table of contents - demos_to_notebooks.py Script to convert demo_scripts/ to demo_notebooks/ ``` ## Adding or Modifying Pages -- **Markdown pages**: Add `.md` files to `docs/content/` and reference - them in the `toc:` section of `myst.yml` - -- **Demo notebooks**: Add demo scripts to `docs/demo_scripts/` following - the existing convention - - Markdown cells are surrounded by triple quotes - ```python - """ - This becomes a **markdown cell** - """ - ``` - - - Code cells start with `# %%` - ```python - # %% - # This becomes a code cell - - # %% - ``` - - Code cells can also use the notebook tags (described [here](https://jupyterbook.org/v1/interactive/hiding.html)) with these lines: - - `# notebook: hide-input` - - `# notebook: remove-input` - - `# notebook: hide-output` - - `# notebook: remove-output` - - `# notebook: hide-cell` - - `# notebook: remove-cell` - - - Then regenerate notebooks: - ```bash - python demos_to_notebooks.py - ``` - - Only files matching `demo*.py` are converted. Other files like `plot_utils.py` and `test_demos.py` are ignored by the converter. - -- **Table of Contents**: Edit `docs/myst.yml` under `project.toc` +1. Add `.md` and/or `.ipynb` files to `docs/content/` + +1. Edit the table of contents `docs/myst.yml` to reflect the updated directory structure ## Publishing diff --git a/docs/content/dfco.ipynb b/docs/content/dfco.ipynb new file mode 100644 index 000000000..55db13c98 --- /dev/null +++ b/docs/content/dfco.ipynb @@ -0,0 +1,296 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "cell-0", + "metadata": {}, + "source": [ + "# Deceleration Fuel Cut-Off Demo\n", + "\n", + "This demo simulates a conventional vehicle over a drive cycle with and\n", + "without Deceleration Fuel Cut-Off (DFCO), a feature that cuts off fuel\n", + "flow while the vehicle is decelerating, and compares the resulting\n", + "fuel economy." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "cell-1", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "import sys\n", + "from pathlib import Path\n", + "\n", + "import matplotlib.pyplot as plt\n", + "import pandas as pd\n", + "import seaborn as sns\n", + "from matplotlib.axes import Axes\n", + "from matplotlib.figure import Figure\n", + "\n", + "sys.path.insert(0, str(next(p / \"demo_scripts\" for p in (Path.cwd(), *Path.cwd().parents) if (p / \"demo_scripts\").is_dir())))\n", + "\n", + "import fastsim as fsim\n", + "from plot_utils import get_paired_cycler" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "cell-2", + "metadata": {}, + "outputs": [], + "source": [ + "sns.set_theme()\n", + "\n", + "# if environment var `SHOW_PLOTS=false` is set, no plots are shown\n", + "SHOW_PLOTS = os.environ.get(\"SHOW_PLOTS\", \"true\").lower() == \"true\"\n", + "# if environment var `SAVE_FIGS=true` is set, save plots\n", + "SAVE_FIGS = os.environ.get(\"SAVE_FIGS\", \"false\").lower() == \"true\"\n", + "\n", + "METERS_PER_MILE = 1609.34\n", + "MJ_PER_GGE = 125.0" + ] + }, + { + "cell_type": "markdown", + "id": "cell-3", + "metadata": {}, + "source": [ + "## Setup and Simulation\n", + "\n", + "Run the same vehicle and drive cycle twice: once with DFCO disabled and\n", + "once with DFCO enabled. The `set_dfco_params` method controls whether\n", + "DFCO is enabled, the minimum speed at or above which it can activate,\n", + "and the deceleration threshold required for it to activate." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "cell-4", + "metadata": {}, + "outputs": [], + "source": [ + "# load 2026 Chrysler Pacifica Select with DFCO disabled\n", + "veh = fsim.Vehicle.from_resource(\"2026_Chrysler_Pacifica_Select.yaml\")\n", + "veh.set_dfco_params(enabled=False, min_dfco_speed_m_per_s=0.0, max_accel_for_dfco_m_per_s2=0.0)\n", + "veh.set_save_interval(1)\n", + "\n", + "# load cycle from file\n", + "cyc = fsim.Cycle.from_resource(\"udds.csv\")\n", + "\n", + "# instantiate `SimDrive` simulation object and run\n", + "sd = fsim.SimDrive(veh, cyc)\n", + "sd.walk()\n", + "df = sd.to_dataframe()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "cell-5", + "metadata": {}, + "outputs": [], + "source": [ + "# load 2026 Chrysler Pacifica Select with DFCO enabled\n", + "veh_dfco = fsim.Vehicle.from_resource(\"2026_Chrysler_Pacifica_Select.yaml\")\n", + "veh_dfco.set_dfco_params(\n", + " enabled=True,\n", + " # DFCO can activate at or above 11.176 m/s (25 mph)\n", + " min_dfco_speed_m_per_s=11.176,\n", + " # DFCO can activate when decelerating at 0.2 m/s^2 or more\n", + " max_accel_for_dfco_m_per_s2=-0.2,\n", + ")\n", + "veh_dfco.set_save_interval(1)\n", + "\n", + "sd_dfco = fsim.SimDrive(veh_dfco, cyc)\n", + "sd_dfco.walk()\n", + "df_dfco = sd_dfco.to_dataframe()" + ] + }, + { + "cell_type": "markdown", + "id": "cell-6", + "metadata": {}, + "source": [ + "## Fuel Economy Comparison\n", + "\n", + "Compute fuel economy for both runs from cumulative fuel energy and cycle\n", + "distance, then print the percent reduction in fuel use from DFCO." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "cell-7", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Conventional Vehicle Fuel Economy: 23.89440188640568 mpg\n", + "Conventional w/ DFCO : 24.52426480755952 mpg\n", + "DFCO Reduction in Fuel Use (Conv): 2.5683253956696874 %\n" + ] + } + ], + "source": [ + "cyc_dict = cyc.to_pydict()\n", + "distance_m = cyc_dict[\"dist_meters\"][-1]\n", + "distance_mi = distance_m / METERS_PER_MILE\n", + "\n", + "fuel_mj = df[\"veh.pt_type.Conv.fc.history.energy_fuel_joules\"][-1] / 1e6\n", + "fuel_dfco_mj = df_dfco[\"veh.pt_type.Conv.fc.history.energy_fuel_joules\"][-1] / 1e6\n", + "\n", + "gge_gal = fuel_mj / MJ_PER_GGE\n", + "gge_dfco_gal = fuel_dfco_mj / MJ_PER_GGE\n", + "fuel_economy_mpg = distance_mi / gge_gal\n", + "fuel_economy_dfco_mpg = distance_mi / gge_dfco_gal\n", + "\n", + "percent_reduction = (fuel_mj - fuel_dfco_mj) * 100.0 / fuel_mj\n", + "\n", + "print(f\"Conventional Vehicle Fuel Economy: {fuel_economy_mpg} mpg\")\n", + "print(f\"Conventional w/ DFCO : {fuel_economy_dfco_mpg} mpg\")\n", + "print(f\"DFCO Reduction in Fuel Use (Conv): {percent_reduction} %\")" + ] + }, + { + "cell_type": "markdown", + "id": "cell-8", + "metadata": {}, + "source": [ + "## Visualize Results\n", + "\n", + "The following plot compares fuel converter behavior between the two runs." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "cell-9", + "metadata": {}, + "outputs": [], + "source": [ + "def plot_fc_pwr(df: pd.DataFrame, df_dfco: pd.DataFrame, tag: str = \"Conv\") -> tuple[Figure, Axes]:\n", + " \"\"\"Plot fuel converter powers\"\"\"\n", + " fig, ax = plt.subplots(3, 1, sharex=True, figsize=(10, 8))\n", + " plt.suptitle(\"Fuel Converter Power\")\n", + "\n", + " ax[0].set_prop_cycle(get_paired_cycler())\n", + " ax[0].plot(\n", + " df[\"cyc.time_seconds\"],\n", + " (\n", + " df[\"veh.pt_type.Conv.fc.history.pwr_prop_watts\"]\n", + " + df[\"veh.pt_type.Conv.fc.history.pwr_aux_watts\"]\n", + " )\n", + " / 1e3,\n", + " label=\"f3 shaft\",\n", + " )\n", + " ax[0].plot(\n", + " df_dfco[\"cyc.time_seconds\"],\n", + " (\n", + " df_dfco[f\"veh.pt_type.{tag}.fc.history.pwr_prop_watts\"]\n", + " + df_dfco[f\"veh.pt_type.{tag}.fc.history.pwr_aux_watts\"]\n", + " )\n", + " / 1e3,\n", + " label=\"f3 shaft (dfco)\",\n", + " )\n", + " ax[0].set_ylabel(\"FC Power [kW]\")\n", + " ax[0].legend()\n", + "\n", + " ax[1].set_prop_cycle(get_paired_cycler())\n", + " ax[1].plot(\n", + " df[\"cyc.time_seconds\"],\n", + " df[\"veh.pt_type.Conv.fc.history.pwr_fuel_watts\"] / 1e3,\n", + " label=\"f3 fuel\",\n", + " )\n", + " ax[1].plot(\n", + " df_dfco[\"cyc.time_seconds\"],\n", + " df_dfco[f\"veh.pt_type.{tag}.fc.history.pwr_fuel_watts\"] / 1e3,\n", + " label=\"f3 fuel (dfco)\",\n", + " )\n", + " ax[1].set_ylabel(\"FC Power [kW]\")\n", + " ax[1].legend()\n", + "\n", + " ax[2].set_prop_cycle(get_paired_cycler())\n", + " ax[2].plot(\n", + " df[\"cyc.time_seconds\"],\n", + " df[\"veh.history.speed_ach_meters_per_second\"],\n", + " label=\"f3\",\n", + " )\n", + " ax[2].plot(\n", + " df_dfco[\"cyc.time_seconds\"],\n", + " df_dfco[\"veh.history.speed_ach_meters_per_second\"],\n", + " label=\"f3 (dfco)\",\n", + " )\n", + " ax[2].legend()\n", + " ax[2].set_xlabel(\"Time [s]\")\n", + " ax[2].set_ylabel(\"Ach Speed [m/s]\")\n", + "\n", + " plt.tight_layout()\n", + " if SAVE_FIGS:\n", + " plt.savefig(Path(\"./plots/fc_pwr.svg\"))\n", + " if SHOW_PLOTS:\n", + " plt.show()\n", + "\n", + " return fig, ax" + ] + }, + { + "cell_type": "markdown", + "id": "cell-10", + "metadata": {}, + "source": [ + "Fuel converter shaft power, fuel power, and achieved speed for the baseline\n", + "and DFCO runs. During decelerations above the minimum DFCO speed, the DFCO\n", + "run's fuel power drops to zero while the baseline continues to use idle fuel." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "cell-11", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plot_fc_pwr(df, df_dfco)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.14.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/content/drive_cycle.ipynb b/docs/content/drive_cycle.ipynb new file mode 100644 index 000000000..e7b138b9b --- /dev/null +++ b/docs/content/drive_cycle.ipynb @@ -0,0 +1,1172 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "cell-0", + "metadata": {}, + "source": [ + "# What Is a Drive Cycle?\n", + "\n", + "A drive cycle is time series data that describes how a vehicle is driven.\n", + "At minimum, it includes speed over time, but can also include\n", + "road grade, ambient air temperature, or other time-varying quantities.\n", + "\n", + "FASTSim simulates a vehicle model over each time step of the drive cycle\n", + "to compute the vehicle's response, including speed, acceleration, and power demand." + ] + }, + { + "cell_type": "markdown", + "id": "cell-1", + "metadata": {}, + "source": [ + "## Loading a Drive Cycle from Resources\n", + "\n", + "This example uses HWFET (Highway Fuel Economy Test), a regulatory drive\n", + "cycle used to evaluate highway fuel economy.\n", + "\n", + "For more information on HWFET and other regulatory drive cycles, see: \n", + "https://www.epa.gov/vehicle-and-fuel-emissions-testing/dynamometer-drive-schedules\n", + "\n", + "The NLR DriveCAT page has a variety of cycles available for download as well: \n", + "https://www.nlr.gov/transportation/drive-cycle-tool" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "cell-2", + "metadata": {}, + "outputs": [], + "source": [ + "import fastsim\n", + "cyc = fastsim.Cycle.from_resource(\"hwfet.csv\")" + ] + }, + { + "cell_type": "markdown", + "id": "cell-3", + "metadata": {}, + "source": [ + "A full list of drive cycles available in FASTSim's resources can be printed:" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "cell-4", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[PosixPath('hwfet.csv'), PosixPath('udds.csv')]" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "fastsim.Cycle.list_resources()" + ] + }, + { + "cell_type": "markdown", + "id": "cell-5", + "metadata": {}, + "source": [ + "## Visualizing a Drive Cycle\n", + "\n", + "FASTSim has convenience functions for visualizing drive cycles." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "cell-6", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "hovertemplate": "time_seconds=%{x}
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+ "xaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + }, + "yaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + } + } + }, + "xaxis": { + "anchor": "y", + "domain": [ + 0, + 1 + ], + "title": { + "text": "Time [s]" + } + }, + "yaxis": { + "anchor": "x", + "domain": [ + 0, + 1 + ], + "title": { + "text": "Speed [m/s]" + } + } + } + } + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Default: x=`time_seconds`, y=`speed_meters_per_second`\n", + "fig = cyc.plot()\n", + "\n", + "# Try also:\n", + "# - cyc.plot(x=\"dist_meters\")\n", + "# - cyc.plot(y=\"grade\")\n", + "# - cyc.plot(x=\"dist_meters\", y=\"grade\")" + ] + }, + { + "cell_type": "markdown", + "id": "cell-7", + "metadata": {}, + "source": [ + "In FASTSim, drive cycles represent all data that vary over time.\n", + "\n", + "The following are inputs to FASTSim drive cycles:\n", + "- Time\n", + " - `time_seconds`\n", + "- Vehicle speed\n", + " - `speed_meters_per_second`\n", + "- Road grade\n", + " - `grade`\n", + "- Ambient air temperature\n", + " - `temp_amb_air_kelvin`\n", + " - Only affects thermal vehicle models\n", + "\n", + "FASTSim automatically derives the following from a drive cycle:\n", + "- Distance\n", + " - `dist_meters`\n", + " - Accumulated from vehicle speed\n", + "- Elevation\n", + " - `elev_meters`\n", + " - Accumulated from grade and distance\n", + " - Initial elevation\n", + " - `init_elev_meters` defaults to 121.92 m (400 ft)" + ] + }, + { + "cell_type": "markdown", + "id": "cell-8", + "metadata": {}, + "source": [ + "## Defining Custom Drive Cycles\n", + "\n", + "Drive cycles can be loaded from a variety of file types:\n", + "- `.csv` CSV files (like the above example)\n", + "- `.json` JSON files\n", + "- `.msgpack` MessagePack files\n", + "- `.toml` TOML files\n", + "- `.yaml` YAML files\n", + "\n", + "Here is a small example of a custom drive cycle file:\n", + "\n", + "`custom_cycle.csv`\n", + "```csv\n", + "time_seconds,speed_meters_per_second,grade\n", + "0,0,0\n", + "1,0,0\n", + "2,0,0\n", + "3,0,0\n", + "4,0,0\n", + "5,0.5,0\n", + "6,0.75,0\n", + "7,1,0\n", + "8,1.25,0\n", + "9,1.5,0\n", + "10,1.75,0\n", + "11,2,0\n", + "12,3,0\n", + "13,4,0\n", + "14,6,0\n", + "15,8,0\n", + "16,10,0\n", + "17,12,0\n", + "18,14,0\n", + "19,16,0\n", + "20,14,0\n", + "21,12,0\n", + "22,10,0\n", + "23,8,0\n", + "24,6,0\n", + "25,4,0\n", + "26,2,0\n", + "27,0,0\n", + "28,0,0\n", + "29,0,0\n", + "30,0,0\n", + "```\n", + "\n", + "To load this, you can use `fastsim.Cycle.from_file`:\n", + "\n", + "```python\n", + "cyc_custom = fastsim.Cycle.from_file(\"custom_cycle.csv\")\n", + "```" + ] + }, + { + "cell_type": "markdown", + "id": "cell-9", + "metadata": {}, + "source": [ + "## Accessing Drive Cycle Fields at Runtime\n", + "\n", + "Drive cycle fields can be accessed at runtime by converting the `Cycle` object to a Python dictionary.\n", + "Each key corresponds to a field name, and many values are lists of data points over time." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "cell-10", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "dict_keys(['init_elev_meters', 'time_seconds', 'speed_meters_per_second', 'dist_meters', 'grade', 'elev_meters', 'pwr_max_chrg_watts', 'temp_amb_air_kelvin', 'pwr_solar_load_watts', 'grade_interp', 'elev_interp'])\n", + "{'init_elev_meters': 121.92, 'time_seconds': [0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0, 20.0, 21.0, 22.0, 23.0, 24.0, 25.0, 26.0, 27.0, 28.0, 29.0, 30.0, 31.0, 32.0, 33.0, 34.0, 35.0, 36.0, 37.0, 38.0, 39.0, 40.0, 41.0, 42.0, 43.0, 44.0, 45.0, 46.0, 47.0, 48.0, 49.0, 50.0, 51.0, 52.0, 53.0, 54.0, 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0.894094506, Grade: 0.0\n", + "Time [s]: 4.0, Speed [m/s]: 2.190531539, Grade: 0.0\n", + "Time [s]: 5.0, Speed [m/s]: 3.621082748, Grade: 0.0\n", + "Time [s]: 6.0, Speed [m/s]: 5.051633958, Grade: 0.0\n", + "Time [s]: 7.0, Speed [m/s]: 6.482185167, Grade: 0.0\n", + "Time [s]: 8.0, Speed [m/s]: 7.733917475, Grade: 0.0\n", + "Time [s]: 9.0, Speed [m/s]: 8.762126157, Grade: 0.0\n", + "...\n" + ] + } + ], + "source": [ + "# Iterate over the time, speed, and grade fields and print them\n", + "# Limit to 10 values\n", + "for time, speed, grade in list(zip(cyc_dict[\"time_seconds\"], cyc_dict[\"speed_meters_per_second\"], cyc_dict[\"grade\"]))[:10]:\n", + " print(f\"Time [s]: {time}, Speed [m/s]: {speed}, Grade: {grade}\")\n", + "print(\"...\")" + ] + }, + { + "cell_type": "markdown", + "id": "cell-12", + "metadata": {}, + "source": [ + "## Editing Drive Cycle Fields at Runtime" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "cell-13", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Updated speed [m/s]: [0.0, 0.0, 0.0, 1.788189012, 4.381063078, 7.242165496, 10.103267916, 12.964370334, 15.46783495, 17.524252314]\n", + "Updated ambient temperature [K]: [295.15, 295.15, 295.15, 295.15, 295.15, 295.15, 295.15, 295.15, 295.15, 295.15]\n" + ] + } + ], + "source": [ + "# Modify the speed field (double the speed) in the drive cycle dictionary\n", + "cyc_dict[\"speed_meters_per_second\"] = [s * 2 for s in cyc_dict[\"speed_meters_per_second\"]]\n", + "print(\"Updated speed [m/s]: \", cyc_dict[\"speed_meters_per_second\"][:10])\n", + "\n", + "# Modify the ambient temperature to be 22 °C\n", + "cyc_dict[\"temp_amb_air_kelvin\"] = [22 + 273.15] * len(cyc_dict[\"temp_amb_air_kelvin\"])\n", + "print(\"Updated ambient temperature [K]: \", cyc_dict[\"temp_amb_air_kelvin\"][:10])" + ] + }, + { + "cell_type": "markdown", + "id": "cell-14", + "metadata": {}, + "source": [ + "After making changes to the cycle dictionary, be sure to convert it back to a FASTSim `Cycle` before using it in simulation." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "cell-15", + "metadata": {}, + "outputs": [], + "source": [ + "# Convert the cycle dictionary back into a FASTSim Cycle\n", + "cyc = fastsim.Cycle.from_pydict(cyc_dict)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.14.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/content/eco_cruise.ipynb b/docs/content/eco_cruise.ipynb new file mode 100644 index 000000000..8c3a8e5aa --- /dev/null +++ b/docs/content/eco_cruise.ipynb @@ -0,0 +1,191 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "cell-0", + "metadata": {}, + "source": [ + "# CAVS: Eco-Cruise (IDM)\n", + "\n", + "This Connected Automated Vehicle (CAV) demo uses the Intelligent Driver\n", + "Model (IDM) to adjust the vehicle's speed profile toward a desired target\n", + "speed." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "cell-1", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "\n", + "import seaborn as sns\n", + "\n", + "import sys\n", + "from pathlib import Path\n", + "\n", + "sys.path.insert(0, str(next(p / \"demo_scripts\" for p in (Path.cwd(), *Path.cwd().parents) if (p / \"demo_scripts\").is_dir())))\n", + "\n", + "import fastsim as fsim\n", + "from plot_utils import plot_speed_by_time, plot_speed_by_dist" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "cell-2", + "metadata": {}, + "outputs": [], + "source": [ + "sns.set_theme()\n", + "\n", + "SHOW_PLOTS = os.environ.get(\"SHOW_PLOTS\", \"true\").lower() == \"true\"\n", + "SAVE_FIGS = os.environ.get(\"SAVE_FIGS\", \"false\").lower() == \"true\"" + ] + }, + { + "cell_type": "markdown", + "id": "cell-3", + "metadata": {}, + "source": [ + "## Setup" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "cell-4", + "metadata": {}, + "outputs": [], + "source": [ + "veh = fsim.Vehicle.from_resource(\"2012_Ford_Fusion.yaml\")\n", + "veh.set_save_interval(1)\n", + "\n", + "cyc = fsim.Cycle.from_resource(\"udds.csv\")\n", + "end_idle_duration_s = cyc.ending_idle_time_s()\n", + "cyc0 = cyc.copy()\n", + "cyc = cyc.extend_time(absolute_time_s=240.0, time_fraction=0.3)\n", + "\n", + "vavg = cyc0.average_speed_m_per_s(while_moving=True)" + ] + }, + { + "cell_type": "markdown", + "id": "cell-5", + "metadata": {}, + "source": [ + "## Configure IDM Parameters\n", + "\n", + "IDM parameters:\n", + "- `idm_desired_speed`: desired speed (here set to the cycle's moving average)\n", + "- `idm_headway`: headway time desired to vehicle in front\n", + "- `idm_minimum_gap`: minimum desired gap between vehicle and lead vehicle\n", + "- `idm_delta`: IDM delta parameter\n", + "- `idm_acceleration` / `idm_deceleration`: IDM acceleration and deceleration parameters" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "cell-6", + "metadata": {}, + "outputs": [], + "source": [ + "man = fsim.Maneuver.create_from(cyc, veh.copy())\n", + "d = man.to_pydict()\n", + "d[\"idm_allow\"] = True\n", + "d[\"idm_desired_speed_meters_per_second\"] = vavg\n", + "d[\"idm_headway_seconds\"] = 1.0\n", + "d[\"idm_minimum_gap_meters\"] = 1.0\n", + "d[\"idm_delta\"] = 4.0\n", + "d[\"idm_acceleration_meters_per_second_squared\"] = 1.0\n", + "d[\"idm_deceleration_meters_per_second_squared\"] = 2.5\n", + "man = fsim.Maneuver.from_pydict(d)\n", + "\n", + "cyc = man.apply_maneuvers()\n", + "cyc = cyc.trim_ending_idle(idle_to_keep_s=end_idle_duration_s)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "cell-7", + "metadata": {}, + "outputs": [], + "source": [ + "sd = fsim.SimDrive(veh, cyc)\n", + "sd.walk()" + ] + }, + { + "cell_type": "markdown", + "id": "cell-8", + "metadata": {}, + "source": [ + "## Results\n", + "\n", + "Original cycle speed vs. achieved speed with IDM eco-cruise applied." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "cell-9", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "if SHOW_PLOTS:\n", + " c0 = cyc0.to_pydict()\n", + " df = sd.to_dataframe()\n", + " plot_speed_by_time(df, c0, title=\"Eco-Cruise (IDM)\",\n", + " save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)\n", + " plot_speed_by_dist(df, c0, title=\"Eco-Cruise (IDM, distance)\",\n", + " save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.14.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/content/getting_started.ipynb b/docs/content/getting_started.ipynb new file mode 100644 index 000000000..ad0a81e0d --- /dev/null +++ b/docs/content/getting_started.ipynb @@ -0,0 +1,3797 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "cell-0", + "metadata": {}, + "source": [ + "# Getting Started\n", + "\n", + "This is an interactive demonstration of FASTSim. Developed by the National\n", + "Laboratory of the Rockies (NLR), FASTSim provides extremely fast and accurate\n", + "estimates of powertrain performance and fuel (or electricity) consumption for\n", + "a wide variety of vehicle types. This page walks through the core workflow:\n", + "loading a vehicle, loading a drive cycle, running a simulation, and working\n", + "with the results.\n", + "\n", + "## Key Concepts\n", + "\n", + "A FASTSim simulation is built on three main components:\n", + "\n", + "- `fastsim.Vehicle`: An object defining the vehicle's physical specifications,\n", + " including the powertrain configuration, mass, aerodynamic drag, component efficiencies, and more.\n", + "- `fastsim.Cycle`: A drive cycle, essentially a velocity vs. time profile\n", + " (e.g. EPA regulatory cycles such as UDDS/HWFET, or custom telematics-derived data).\n", + " Drive cycles define how the vehicle moves and the conditions under which it operates.\n", + "- `fastsim.SimDrive`: The solver that combines a `Vehicle` and a `Cycle`,\n", + " calculating the flow of power and energy consumption at every time step.\n", + "\n", + "The line below imports FASTSim in Python:" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "cell-1", + "metadata": {}, + "outputs": [], + "source": [ + "import fastsim" + ] + }, + { + "cell_type": "markdown", + "id": "cell-2", + "metadata": {}, + "source": [ + "## Loading a Vehicle\n", + "\n", + "`Vehicle.from_resource` loads one of the vehicle models bundled with FASTSim.\n", + "The full list of bundled vehicles can be printed:" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "cell-3", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[PosixPath('2012_Ford_Fusion.yaml'),\n", + " PosixPath('2016 Nissan Leaf 30 kWh thrml.yaml'),\n", + " PosixPath('2016_TOYOTA_Prius_Two.yaml'),\n", + " PosixPath('2020 Chevrolet Bolt EV thrml.yaml'),\n", + " PosixPath('2021_Hyundai_Sonata_Hybrid_Blue_thrml.yaml'),\n", + " PosixPath('2022 Tesla Model 3 RWD thrml.yaml'),\n", + " PosixPath('2022_Renault_Zoe_ZE50_R135.yaml'),\n", + " PosixPath('2026_Chrysler_Pacifica_Select.yaml')]" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "fastsim.Vehicle.list_resources()" + ] + }, + { + "cell_type": "markdown", + "id": "cell-4", + "metadata": {}, + "source": [ + "This example uses the conventional 2012 Ford Fusion. After loading, a few\n", + "key parameters can be read from the vehicle dictionary:" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "cell-5", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Vehicle loaded: 2012 Ford Fusion\n", + "Vehicle mass: 1644.3 kg\n", + "Drag coefficient: 0.393\n" + ] + } + ], + "source": [ + "veh = fastsim.Vehicle.from_resource(\"2012_Ford_Fusion.yaml\")\n", + "\n", + "veh_dict = veh.to_pydict()\n", + "print(f\"Vehicle loaded: {veh_dict['name']}\")\n", + "print(f\"Vehicle mass: {veh_dict['mass_kilograms']:.1f} kg\")\n", + "print(f\"Drag coefficient: {veh_dict['chassis']['drag_coef']}\")" + ] + }, + { + "cell_type": "markdown", + "id": "cell-6", + "metadata": {}, + "source": [ + "`save_interval` controls how often the vehicle records its internal state to\n", + "history vectors. A value of 1 records every time step, which is what we want\n", + "for plotting results." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "cell-7", + "metadata": {}, + "outputs": [], + "source": [ + "veh.set_save_interval(1)" + ] + }, + { + "cell_type": "markdown", + "id": "cell-8", + "metadata": {}, + "source": [ + "## Loading a Drive Cycle\n", + "\n", + "`Cycle.from_resource` loads a default drive cycle in the FASTSim package\n", + "called the Urban Dynamometer Driving Schedule, or \"UDDS\". The UDDS is one of\n", + "several\n", + "[EPA regulatory cycles](https://www.epa.gov/vehicle-and-fuel-emissions-testing/dynamometer-drive-schedules)\n", + "used to test vehicle fuel economy. UDDS is also referred to as the \"city\"\n", + "test. Below the cycle is plotted as target vehicle speed vs. time.\n", + "\n", + "For a deeper look at drive cycles, including custom cycles and editing cycle\n", + "data, see [What Is a Drive Cycle?](demo_drive_cycle.ipynb)." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "cell-9", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "hovertemplate": "time_seconds=%{x}
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+ "xaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + }, + "yaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + } + } + }, + "xaxis": { + "anchor": "y", + "domain": [ + 0, + 1 + ], + "title": { + "text": "Time [s]" + } + }, + "yaxis": { + "anchor": "x", + "domain": [ + 0, + 1 + ], + "title": { + "text": "Speed [m/s]" + } + } + } + } + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "cyc = fastsim.Cycle.from_resource(\"udds.csv\")\n", + "fig = cyc.plot()" + ] + }, + { + "cell_type": "markdown", + "id": "cell-10", + "metadata": {}, + "source": [ + "## Running the Simulation\n", + "\n", + "`SimDrive` combines a vehicle and a cycle, and `walk()` runs the simulation\n", + "from start to finish." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "cell-11", + "metadata": {}, + "outputs": [], + "source": [ + "sd = fastsim.SimDrive(veh, cyc)\n", + "sd.walk()" + ] + }, + { + "cell_type": "markdown", + "id": "cell-12", + "metadata": {}, + "source": [ + "## Inspecting Results\n", + "\n", + "The `SimDrive` object contains the inputs, and after the `walk()` method is\n", + "called, which runs the simulation, it also contains the resulting time-series\n", + "data from the simulated vehicle over the provided drive cycle. You can\n", + "explore these data to understand exactly how the vehicle is performing.\n", + "`to_dataframe()` returns the results as a dataframe:" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "cell-13", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1370 time steps, 62 columns. A few examples:\n", + "['veh.pt_type.Conv.fc.history.i', 'veh.pt_type.Conv.fc.history.pwr_out_max_watts', 'veh.pt_type.Conv.fc.history.pwr_prop_max_watts', 'veh.pt_type.Conv.fc.history.eff', 'veh.pt_type.Conv.fc.history.pwr_prop_watts']\n" + ] + } + ], + "source": [ + "df = sd.to_dataframe(pandas=True)\n", + "print(f\"{len(df)} time steps, {len(df.columns)} columns. A few examples:\")\n", + "print(df.columns.tolist()[:5])" + ] + }, + { + "cell_type": "markdown", + "id": "cell-14", + "metadata": {}, + "source": [ + "A common visualization is achieved speed vs. time. This attribute is called\n", + "\"achieved speed\" because it is possible that a vehicle is not able to meet\n", + "the provided drive cycle. The two lines should overlap almost exactly for a\n", + "vehicle with enough power to follow the trace." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "cell-15", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "line": { + "dash": "dash" + }, + "name": "Target", + "type": "scatter", + "x": { + "bdata": 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", 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"cell-18", + "metadata": {}, + "source": [ + "## Calculating Fuel Economy\n", + "\n", + "FASTSim reports energy in SI units, so fuel economy is calculated from\n", + "cumulative fuel energy and distance. This example converts fuel energy to\n", + "gallons of gasoline equivalent using the conventional 33.7 kWh per gallon." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "cell-19", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Fuel economy over UDDS: 34.4 mpg\n" + ] + } + ], + "source": [ + "KWH_PER_GGE = 33.7\n", + "METERS_PER_MILE = 1609.34\n", + "\n", + "\n", + "def mpg_from_sim(sd) -> float:\n", + " \"\"\"Compute miles per gallon gasoline equivalent from a solved SimDrive.\"\"\"\n", + " sd_dict = sd.to_pydict(flatten=True)\n", + " fuel_kwh = sd_dict[\"veh.pt_type.Conv.fc.state.energy_fuel_joules\"] / 3.6e6\n", + " miles = sd_dict[\"veh.state.dist_meters\"] / METERS_PER_MILE\n", + " return miles / (fuel_kwh / KWH_PER_GGE)\n", + "\n", + "\n", + "mpg = mpg_from_sim(sd)\n", + "print(f\"Fuel economy over UDDS: {mpg:.1f} mpg\")" + ] + }, + { + "cell_type": "markdown", + "id": "cell-20", + "metadata": {}, + "source": [ + "One common question is: **\"Why is the MPG from FASTSim higher than what I see\n", + "on a car's window sticker?\"** FASTSim simulations, by default, provide \"raw\"\n", + "or \"unadjusted\" fuel economy. This is equivalent to what a vehicle achieves\n", + "on a chassis dynamometer in a laboratory setting under controlled conditions,\n", + "which is how vehicles are actually tested to measure fuel economy. The EPA\n", + "applies a set of \"downward adjustments\" (often around 10-30%) to laboratory\n", + "results to better reflect real-world driving for the window sticker. See\n", + "[Comparing Simulations to Label Fuel Economy](../demo_notebooks/demo_label_fe.ipynb)\n", + "for how FASTSim reproduces window sticker values.\n", + "\n", + "## Modifying Vehicle Parameters\n", + "\n", + "One common use of FASTSim is to explore various vehicle designs and\n", + "configurations and the subsequent impacts on fuel consumption. Let's start\n", + "with a simple example that modifies the vehicle mass.\n", + "\n", + "We will:\n", + "1. Create a \"Heavy\" version of the vehicle.\n", + "2. Re-run the simulation.\n", + "3. Compare the results.\n", + "\n", + "Vehicle parameters can be edited by converting the vehicle to a dictionary,\n", + "changing values, and converting back." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "cell-21", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Original mass: 1644 kg -> 34.4 mpg\n", + "Heavy mass: 2444 kg -> 28.2 mpg\n", + "Fuel economy change: -18.0%\n" + ] + } + ], + "source": [ + "veh_dict_heavy = veh.to_pydict()\n", + "veh_dict_heavy[\"mass_kilograms\"] += 800.0\n", + "veh_heavy = fastsim.Vehicle.from_pydict(veh_dict_heavy)\n", + "veh_heavy.set_save_interval(1)\n", + "\n", + "sd_heavy = fastsim.SimDrive(veh_heavy, cyc)\n", + "sd_heavy.walk()\n", + "\n", + "mpg_heavy = mpg_from_sim(sd_heavy)\n", + "print(f\"Original mass: {veh_dict['mass_kilograms']:.0f} kg -> {mpg:.1f} mpg\")\n", + "print(f\"Heavy mass: {veh_dict_heavy['mass_kilograms']:.0f} kg -> {mpg_heavy:.1f} mpg\")\n", + "print(f\"Fuel economy change: {(mpg_heavy - mpg) / mpg * 100:.1f}%\")" + ] + }, + { + "cell_type": "markdown", + "id": "cell-22", + "metadata": {}, + "source": [ + "Let's visualize the difference in power demand." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "cell-23", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "name": "Original", + "type": "scatter", + "x": { + "bdata": 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", + "dtype": "f8" + } + }, + { + "name": "With 800 kg payload", + "type": "scatter", + "x": { + "bdata": 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", 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+ "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + }, + "yaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + } + } + }, + "xaxis": { + "title": { + "text": "Time [s]" + } + }, + "yaxis": { + "title": { + "text": "Fuel Power [kW]" + } + } + } + } + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "df_heavy = sd_heavy.to_dataframe(pandas=True)\n", + "\n", + "fig = go.Figure()\n", + "fig.add_trace(go.Scatter(\n", + " x=df[\"cyc.time_seconds\"],\n", + " y=df[\"veh.pt_type.Conv.fc.history.pwr_fuel_watts\"] / 1e3,\n", + " name=\"Original\",\n", + "))\n", + "fig.add_trace(go.Scatter(\n", + " x=df_heavy[\"cyc.time_seconds\"],\n", + " y=df_heavy[\"veh.pt_type.Conv.fc.history.pwr_fuel_watts\"] / 1e3,\n", + " name=\"With 800 kg payload\",\n", + "))\n", + "fig.update_layout(xaxis_title=\"Time [s]\", yaxis_title=\"Fuel Power [kW]\")\n", + "fig.show()" + ] + }, + { + "cell_type": "markdown", + "id": "cell-24", + "metadata": {}, + "source": [ + "## Where to Go Next\n", + "\n", + "- [What Is a Drive Cycle?](demo_drive_cycle.ipynb) covers loading, building,\n", + " and editing drive cycles, including road grade.\n", + "- [Vehicles in FASTSim](../content/vehicle.md) describes the vehicle model\n", + " hierarchy in more depth.\n", + "- [What is a SimDrive Object?](../content/simdrive.md) explains the\n", + " simulation object and its parameters." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.14.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/content/hev.ipynb b/docs/content/hev.ipynb new file mode 100644 index 000000000..0c100e77c --- /dev/null +++ b/docs/content/hev.ipynb @@ -0,0 +1,529 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "cell-0", + "metadata": {}, + "source": [ + "# Hybrid Electric Vehicle Demo\n", + "\n", + "This demo simulates a Hybrid Electric Vehicle (HEV) over a drive cycle and\n", + "visualizes the fuel converter, battery, and road load behavior." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "cell-1", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "from pathlib import Path\n", + "\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "\n", + "import fastsim as fsim" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "cell-2", + "metadata": {}, + "outputs": [], + "source": [ + "sns.set_theme()\n", + "\n", + "# if environment var `SHOW_PLOTS=false` is set, no plots are shown\n", + "SHOW_PLOTS = os.environ.get(\"SHOW_PLOTS\", \"true\").lower() == \"true\"\n", + "# if environment var `SAVE_FIGS=true` is set, save plots\n", + "SAVE_FIGS = os.environ.get(\"SAVE_FIGS\", \"false\").lower() == \"true\"" + ] + }, + { + "cell_type": "markdown", + "id": "cell-3", + "metadata": {}, + "source": [ + "## Setup and Simulation\n", + "\n", + "Load a vehicle and drive cycle, configure per-step state recording, run the\n", + "simulation, and extract the results." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "cell-4", + "metadata": {}, + "outputs": [], + "source": [ + "# load 2016 Toyota Prius Two from file\n", + "veh = fsim.Vehicle.from_resource(\"2016_TOYOTA_Prius_Two.yaml\")\n", + "\n", + "# Set `save_interval` at vehicle level -- cascades to all sub-components with time-varying states\n", + "veh.set_save_interval(1)\n", + "\n", + "# load cycle from file\n", + "cyc = fsim.Cycle.from_resource(\"udds.csv\")" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "cell-5", + "metadata": {}, + "outputs": [], + "source": [ + "# instantiate `SimDrive` simulation object\n", + "sd = fsim.SimDrive(veh, cyc)\n", + "sd.walk()\n", + "\n", + "df = sd.to_dataframe()\n", + "sd_dict = sd.to_pydict(flatten=True)" + ] + }, + { + "cell_type": "markdown", + "id": "cell-6", + "metadata": {}, + "source": [ + "## Visualize Results\n", + "\n", + "The following plots show fuel converter, battery, and road load behavior over\n", + "the drive cycle." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "cell-7", + "metadata": {}, + "outputs": [], + "source": [ + "def plot_fc_pwr():\n", + " \"\"\"Plot fuel converter powers\"\"\"\n", + " fig, ax = plt.subplots(3, 1, sharex=True, figsize=(10, 8))\n", + " plt.suptitle(\"Fuel Converter Power\")\n", + "\n", + " ax[0].plot(\n", + " df[\"cyc.time_seconds\"],\n", + " (\n", + " df[\"veh.pt_type.HEV.fc.history.pwr_prop_watts\"]\n", + " + df[\"veh.pt_type.HEV.fc.history.pwr_aux_watts\"]\n", + " )\n", + " / 1e3,\n", + " label=\"shaft\",\n", + " )\n", + " ax[0].plot(\n", + " df[\"cyc.time_seconds\"],\n", + " df[\"veh.pt_type.HEV.fc.history.pwr_fuel_watts\"] / 1e3,\n", + " label=\"fuel\",\n", + " )\n", + " ax[0].set_ylabel(\"FC Power [kW]\")\n", + " ax[0].legend()\n", + "\n", + " ax[1].plot(\n", + " df[\"cyc.time_seconds\"],\n", + " df[\"veh.pt_type.HEV.res.history.soc\"],\n", + " )\n", + " ax[1].set_ylabel(\"SOC\")\n", + "\n", + " ax[2].plot(\n", + " df[\"cyc.time_seconds\"],\n", + " df[\"veh.history.speed_ach_meters_per_second\"],\n", + " )\n", + " ax[2].set_xlabel(\"Time [s]\")\n", + " ax[2].set_ylabel(\"Ach Speed [m/s]\")\n", + "\n", + " plt.tight_layout()\n", + " if SAVE_FIGS:\n", + " plt.savefig(Path(\"./plots/fc_pwr.svg\"))\n", + " if SHOW_PLOTS:\n", + " plt.show()\n", + "\n", + " return fig, ax" + ] + }, + { + "cell_type": "markdown", + "id": "cell-8", + "metadata": {}, + "source": [ + "Fuel converter output power (drivetrain + auxiliary) and fuel input power,\n", + "with battery state of charge for context." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "cell-9", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plot_fc_pwr()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "cell-10", + "metadata": {}, + "outputs": [], + "source": [ + "def plot_fc_energy():\n", + " \"\"\"Plot fuel converter energies\"\"\"\n", + " fig, ax = plt.subplots(3, 1, sharex=True, figsize=(10, 8))\n", + " plt.suptitle(\"Fuel Converter Energy\")\n", + "\n", + " ax[0].plot(\n", + " df[\"cyc.time_seconds\"],\n", + " (\n", + " df[\"veh.pt_type.HEV.fc.history.energy_prop_joules\"]\n", + " + df[\"veh.pt_type.HEV.fc.history.energy_aux_joules\"]\n", + " )\n", + " / 1e6,\n", + " label=\"shaft\",\n", + " )\n", + " ax[0].plot(\n", + " df[\"cyc.time_seconds\"],\n", + " df[\"veh.pt_type.HEV.fc.history.energy_fuel_joules\"] / 1e6,\n", + " label=\"fuel\",\n", + " )\n", + " ax[0].set_ylabel(\"FC Energy [MJ]\")\n", + " ax[0].legend()\n", + "\n", + " ax[1].plot(\n", + " df[\"cyc.time_seconds\"],\n", + " df[\"veh.pt_type.HEV.res.history.soc\"],\n", + " )\n", + " ax[1].set_ylabel(\"SOC\")\n", + "\n", + " ax[2].plot(\n", + " df[\"cyc.time_seconds\"],\n", + " df[\"veh.history.speed_ach_meters_per_second\"],\n", + " )\n", + " ax[2].set_xlabel(\"Time [s]\")\n", + " ax[2].set_ylabel(\"Ach Speed [m/s]\")\n", + "\n", + " plt.tight_layout()\n", + " if SAVE_FIGS:\n", + " plt.savefig(Path(\"./plots/fc_energy.svg\"))\n", + " if SHOW_PLOTS:\n", + " plt.show()\n", + "\n", + " return fig, ax" + ] + }, + { + "cell_type": "markdown", + "id": "cell-11", + "metadata": {}, + "source": [ + "Cumulative fuel converter output energy (drivetrain + auxiliary) and fuel\n", + "input energy, with battery state of charge for context." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "cell-12", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plot_fc_energy()" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "cell-13", + "metadata": {}, + "outputs": [], + "source": [ + "def plot_res_pwr():\n", + " \"\"\"Plot reversible energy storage powers\"\"\"\n", + " fig, ax = plt.subplots(3, 1, sharex=True, figsize=(10, 8))\n", + " plt.suptitle(\"Battery Power\")\n", + "\n", + " ax[0].plot(\n", + " df[\"cyc.time_seconds\"],\n", + " df[\"veh.pt_type.HEV.res.history.pwr_out_electrical_watts\"] / 1e3,\n", + " label=\"electrical out\",\n", + " )\n", + " ax[0].plot(\n", + " df[\"cyc.time_seconds\"],\n", + " df[\"veh.pt_type.HEV.res.history.pwr_out_chemical_watts\"] / 1e3,\n", + " label=\"chemical out\",\n", + " )\n", + " ax[0].set_ylabel(\"RES Power [kW]\")\n", + " ax[0].legend()\n", + "\n", + " ax[1].plot(df[\"cyc.time_seconds\"], df[\"veh.pt_type.HEV.res.history.soc\"], label=\"soc\")\n", + " ax[1].plot(\n", + " df[\"cyc.time_seconds\"],\n", + " df[\"veh.pt_type.HEV.res.history.soc_disch_buffer\"],\n", + " label=\"accel buffer\",\n", + " alpha=0.5,\n", + " )\n", + " ax[1].plot(\n", + " df[\"cyc.time_seconds\"],\n", + " df[\"veh.pt_type.HEV.res.history.soc_regen_buffer\"],\n", + " label=\"regen buffer\",\n", + " alpha=0.5,\n", + " )\n", + " ax[1].axhline(sd_dict[\"veh.pt_type.HEV.res.min_soc\"], color=\"blue\", label=\"min soc\")\n", + " ax[1].axhline(sd_dict[\"veh.pt_type.HEV.res.max_soc\"], color=\"red\", label=\"max soc\")\n", + " ax[1].set_ylabel(\"SOC [-]\")\n", + " ax[1].legend(loc=\"center right\")\n", + "\n", + " ax[2].plot(\n", + " df[\"cyc.time_seconds\"],\n", + " df[\"veh.history.speed_ach_meters_per_second\"],\n", + " )\n", + " ax[2].set_xlabel(\"Time [s]\")\n", + " ax[2].set_ylabel(\"Ach Speed [m/s]\")\n", + "\n", + " plt.tight_layout()\n", + " if SAVE_FIGS:\n", + " plt.savefig(Path(\"./plots/battery_pwr.svg\"))\n", + " if SHOW_PLOTS:\n", + " plt.show()\n", + "\n", + " return fig, ax" + ] + }, + { + "cell_type": "markdown", + "id": "cell-14", + "metadata": {}, + "source": [ + "Battery electrical and chemical output power, with state of charge, discharge\n", + "buffer, regen buffer, and min/max SOC limits." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "cell-15", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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q9Xl6uOeee6i0tDTg81JSlNY6vmCjuqWlRRjSp59+Or399tt05pln0hNPPGE6JTwpKXKD+A61L6z8CWKnpjo7MwXj64KM/nKkOtTXpIxUs7Go57NnjCsS6eKrt9X5fX4kXb+7VAOY24IFq9w9olQxqtmx4HAkRFVduZVE0vgCe8f2q9XKemfupEF0yfGT6eVPN9NbX1fQO0u2C82BeL0GohVcu7ENxje2cUTAvddSo5pFwjo7FYVYFrX5/PPPKT09nebOnSv6UDc2NgpBMRYWO/DAAwMay3r5xz/+QUVFRZpI2cyZM0XK+L333itqsY2SmJhA+fmZFOnk5ChRPBD9tHf1ip+DirO1ccX4EqVnpGqR/OTUZMrKsGbOCERndy9V7G0Sv+8zebCu+WDqWGUiZ6XyvLyMgAvqSBjfdTsaxc8Z40uCnvMyspRU/Y6uXkpOS4n72tJIGF9g39jurmmh95fuEH8fMmcYlRRn07nHTqYPvt0hdAq+31RHh84dhiGIQnDtxjYY39gmJ4z3XkuN6j/96U/a71wDXVdXR4888oibIndvb68QHFu6dCkVFDjFboLBWz01p34///zzptvoNDUp4j2RCHth+KRpamqn3t6+cO8OCBKuv2tr7xa/93R1i3HF+DrJzUyhxtYu2ritlkYMVqKhdrOuop56evspLyuFUhL6qb6+NeBrersVxwi/bk9lk1cl7Ui7fn/cWC1+ji/P0fUdA5GTmUJNrV20uaKOhpcOFJWMByJpfIF9Y/vAiz9qj48oydSunwVTSunTH3bT/S/9SBOH5lJGWlRU2QFcuzEP5ubYxmHTvZffU2/027bZ/rXXXqMbbrjBzaBmHA4HXXvttTR79mxhdAdrWHPa91lnnSXqqRcuXKg9ztFwz9ZbRujpifzFEJ800bCfdrNpZyN19/YJsaRoFSmTsjapSYnaZIDxdYqVsVG9t7YtZL2q12+vFz/HlOdRby+PTmDhIUdCAqUkJ1JXd59QAE8OMAmHe3zZmVOrCsANysuwZF8KslOFUV1V30ZlRZGf7WMn4R5fYO/YSkHCYxcOF9e6HOufHDqOVm6ppbqmTlq6ppL2mzYYQxFl4NqNbTC+sU1vGO+9tiWed3d3a31NPenq6hLbrag3ysrKEqnfHP1ualLSNb/44gt666236Lzzzgv6/UFks2JzLf3lqe9EO59l66oomuupkxwJXts1xTsl+Uoqzx619VMo4J7LzNgyd6dgILLSk8XPljYl8yCSYeOXRcp4Gs7LtiatXrYSY4MCgFiltb1bOM6Yo+YNd9vGon+LpisiZd+s0a8xAwAAILqxzajmSPRdd91Fu3a593ltbm6mX//61zRu3DjKz7cmsnjnnXeKPtWLFi0S/6655hoRJT/yyCMteX8QmbDT5sXFm7UY4utfbqNoBMrf/ikvyQppq6bunj7auLNB/D6m3KRR3d5FkU5tkxKlzstKJUeiNbeCAlVBXL43ALGInIsKc9K8lnmwcBmzels9fbVqT8j3DwAAQOixLf378ssvF2nZhx9+OE2YMIGKi4uFUNn69etFCviTTz5p6n3PP/98ofDtCougPfzwwyIVvLa2lgYPHmyZCBqIXLbsaXJr38O/765ppSFRlnba1qFENdPTFIMMuDM0xEY1p262d/aKNlpG64KzVaO6OQoi1TKazIaBVfAxYxpbEKkGsYu875QVe7/XDMrPoLkTS2jp2ir677vrqbQgU2s5BwAAIDaxLVLNtdIvv/yyqJ/mFO3t27eLyCIb2m+++aYwtM3Aqd7DhnlX1OTPGT58OAzqOOHHTTXi55wJJTRCNX6qwtDPOFjYgGMyUpH67Y2hJerY1rVRp6qSbndJATN7fAklGixRkerkLarwXCRTr0aTZXTZCnLU798UBU4FAMyyU3Xw+dN4uPj4yTR6SA519fTRv15eITQMAAAAxC62ylJmZmaK3tH77bcfVVVVidZa7e3tlql+g/iBjal3l26nrp5eOmb+CKGo+sNGxfiZNrqQvlql1K51qPXJ0URbp2KAZPhQi453WP1bqkrvrGmh0UOMpWQbZctupZ563NA8w691pn9HvlHZrO5jtoVtyuR7NbdGfvo7AGaRWTPlPiLVDDvkrjxlGv3i3i+ooaWLquvbaVBBBg46AADEKLZ2yP7kk0/okEMOoRNPPJEuvvhiYVhLpW4WKwNAwkbIf99bTy8s3iSEu176dDPd/ODXVN3QTr19fXTPSyvotS+20jtLttNTH6ynXTWtIgXPkZhA08cUaXVt3CM3GtW/GaR/B04B37ZHUdy1Cz73+NxizKRrZkeRUc1iS66OAKscIExjG+Z3EJtwxt2uamWOKAvQjYCvh5FqG8CKSnvnLgAAADFqVC9fvpyuvPJKmjp1Kt1xxx2i7lnWRH/88cd099132/XRIAp5/pNNtHj5LmE0/+rfS+itrytEKvern2+lZeuqaW2F0uKI4b8//UERwJsyskAYBWkpSup0e1c0RqqVfUb6t2+GqUb1y59toVa1Bt0Otu1tJs7SLMxJ1eqDjZCVET3q3y02GNXZLt8f6a4gFqlp6BBzNjt0BxcGjjxLXYate5TuJAAAAGIT24zqRx99lH72s5/RvffeSyeddBKlpSliOByp5m3PPfcc9fWhhydQFhtfrnAqpHKar+T7jdX07jfbxe8n7DdSLGJ6evvow2U7xWPzJisqq+kpSW71ydHYUsubiixQOGSfckpNcYhjtWR1pe2p36NMpphLA1WmVpvNXHjjy6309aq9PtsSWmlUZ6YlWZ7+za26ZAYGALFExV7FOC4tyKCkAL3omfFqGcnKLXW27xsAAIAYNKq3bNlCxx57rNdtkydPFqJi1dXVdn08iBLYaHj6ww2iLdaCyaX0f5cvpP2mDRbiY6wRxbXUnDbHclEHTB9CM8YUaa/lGmT5d5oq8hWNNdUwqvX1Pz5pv5Hidzv7kW/ZrSyYzSr1WpH+/dg7a+mVz7fSf95cozmU7KClvcfySDX36JXaAK7OMQBihQo14uxL+duTySMLxL2MO1Nc+ffP6Ib7v9RENgEAAMQOthnV3Dd648aNXrfV1dVRfX29EDID8c267Q20eVcTpSY76NQDRwvj6YKjJ9JlJ06hYxYM1543YXi+SMedObZYe4yfn6ZGqGWUNzrTv5XoOiLV/pk0UhE4ZCeLXRFc2WaKo1Bm0NS/TdYU8/das80Z0eLe68021SfLNPpMC41qJlutq7ZrvwEIJ5X1beJnSb6+OYKdVscsGCF+57RxnmP+88Yaep+FN7ujL7MKAABAiI3qgw8+mG6//Xb67LPP3B7nPtI33ngjzZw5U0SrQXzzzRollXfepJIBNawHzigTHn7mWNXAHlOeS5efOIWuP3MGHTizTHtuulpT3RHF6d9Q//YPG7pcx8hidLVqOyiraVINwdwsc4rYTvXvHlM1xbzg5hIGVg7mSFhndy99+sNuslOozGqjOketq25EpBrEIKzizbDugl5OPmAU3X3FvvTb82aL64ON62c/3kSPvr026P3hrBg9xjnPJR9/v5O2QzANgLiB5we+9kFosK2IkwXJPv/8c7rooosoNzeX2tra6NJLL6WdO3dSRkYGPfnkk3Z9NIgSOCq3covSFmvOBKU22hWOWv/itOnCiJo4wtmGbfYERfTOlTRN/Tv6ItVI/9YH1y9yTf3OalZ+b6Wi3HRLx4GNYJmyLPstmzWq+b14XDPTjBmsrGjP8Pc8cu4weuSttfTlyj0iayPBYM9sf/AinPvnin02uI+B4PZnTHMUiLUBwFTsbaYVW2qF4CWXIfkriahpkEa1ohOjF3Ya878//XyeEOJ8/9sdtHRtFR09v5mGDVLEzIzQ1tFNb3y1TeiLcIvJm34yi8qKfGf/cXT8+w3VopRq32mD6exDxwmdCgBA7AatHnlrjcgEvfGsmabmGRAhkeqUlBR67LHH6M9//jPNnj2bJkyYQEVFRcLYfv3112ncuHF2fTSIEljdu765k5IcCSIC7Y0powq9GtGeONW/o88jB6NaP4MLlUVjZZ2SgmklLKzFAluuhqGZmmK+gblGgo0gv9fgokyaNa5YvF9lfTttr1SMbauoa1bS3FOSEyld1SOwCumQQE01sJp1FfUibbqhRTl/rXLucsvGVz7bQs98uJH++Pi3fp2z1Wr6Nzt9zYr5nXnIWKEbwnyxco+pff7rsz/Qe0t3iDmLHVgff6eId/pyBLBBLV7Ln7liD73y+RaKVXgur2vqoD51PgcgHuE2tD29/dTa0UMf+ZkfgHXYKjeclJREJ598Mk2ZMkX0qJ47dy61t7dTQYEz6gjil007FaVl7uMpDRGzONW/o7mlFtS/A1GYm+ZW+2wljepCndWw9aj6+oKNVE63MqNEX6t+r6KcNFFjP3F4Pq3YXEsbdjRorXmsQEbbivPSLY2AuzokZCo9AFbAQl93P/eDMCK/WVtFvzpnVlDXqYQdVuzcZfg+VNPYQf98YQXtO3UwzZ5QrOl2SEcZL1CZAgPp397YZ3wxfbuuitZvbzD82r11bSK6zt9/zoRi+np1pd+0bo7CM+PKc+ngfcrpwddW0+crdouOGrGm5cGdE177YpvIFmLByd+cO5tiDdmeTfZAB8ATdjzyPCHh7D4QxZFq5pNPPqFDDjmETjzxRLr44ouFYc0ttX71q19RVxcWXPHOrhrlIh9WEryxIBcGnCoebcg6cKsjhrGITLnkKITVyBrg3KxUS85F6SwxQl1zh9uCfbSqQr7F4h631dKotjiF3rWmGpFqYCWvfr5FyyRho+L/nlluidAXG5fMzLFFQiCTXUzrdzSIeuc7n17upo3wg6razeUZrsa2GcYPyxc/d1S1GHZAscAnM6Ysh45dOEJ7n14fbUrZMcdMG1MkMr9Yn4Kdfk+8u84t62dXdQut2FxDn/6wS7T04/aV0cTmXY2ic4IcM+7mYMe9Ipzw9/nLU9/R7U9+JxxNAHhj9VZF8FQ6HvlcMaPzAiLEqF6+fDldeeWVNHXqVLrjjjuopERJdeL0748//pjuvvtuuz4aRAl7a2WqqzmlZVdkS61oi1TzIkiKSMRaxMAOpLFph1BZY4tqVJtM/ZbIjAMz56JcAErnwagypSxim9VGdaPyOUVq5N9KZK9q1FQDKxW3v1PTl0/af6Qo99mws5E++n5n0NGcxcsVo/rQfcpp2uhCuuLkqTR3orJe4Wgw/5N8/qOSqj1/cikFC88zw0oUsVaZmq33nvHhsh3id9YaGVSQIe4drJGwdffAaDU7HtZW1Ivfp40qFCKIR8wdKv7mmu67nlkujOf12+vpd48spX+8sIKeeHe9aOn30qebKZpY/MMu8XPB5EE0bJBybDerbRJjBf6OnNLLDiauqQfAG3xtM0fOGypKLHmdGWsOprgyqh999FH62c9+Rvfeey+ddNJJlJamLN44Us3bnnvuOerz4VUF8cHuWsXLOthk+yJv6d8cqY4mb5xrijCM6vBGqms8DFqzpAdhVMv0b1mvma9GzYPpe+0v/bsoz/pItRR5ki27AAiWlxZvJp7W2eg9bt+RdNqBo8XjS1Yr3SPM8u3aKnG/4IwQKYbJWgaXnjBF/GTufWmF+PfXZ5aLdneJCUT7TxtsyaDOm6QIdC5bpyyA9Uap99S2iTKVQ2aVCSOZj4sv45wdD909fcKBJntrHzB9CJ1zuKJrw6nvLGj02DvrRL21KyyCtke9T0c6PI4r1Yj8flMH0+ghikOSHRCxUlvNtfRL1zjPleUbqqNSnBXYC1/vayuUSPW8SaWaYCprDYAoNaq3bNlCxx57rNdtkydPFu20qqv1e2dBbME3ApmCOsSPYqlepFAZ0xlhKeAcWWARnI07B9bOScMrJSnRkvrAWEe2XWtq67Y8NVEa6sHWSppN/+bvI1Om89V9cC1rsLI3t4xUF9sQqZYtuswItQHgCS8El2+s0VpTMXMmDhLGJKc81zQq9xEzrFJTJPn9PDlw5hCRCt7Q0iU+X0Z7D58/wjJnFKdjS30RXgjr4Uc1BX3m2GLKUBfL+6gOADaqXecJ/v2T75Xo7XELR2j6Cfzz4FnldOL+I8Xf3GWgqr6dsjOS6epTp9ED1y2i6aMLRTT09S+jIxrK+8/3Bb6Xjh2aRwfPKhM18ht3Nop09lhgV3WrEHjltQJnOnB2wg/qtQGAhPUVOJuBHdxDuFQlCEc/MIZtq/js7GzauHGj1211dXVUX19PmZnBG1MgOtm6p1lEHrjXZ7A1rAyrJHMP40isq2alVU7T+stT3w/YBuVvY3DrGM9jZxW1qqEpxdBCHamWBjWfxzLaK51FvLjVu+gOd6SaI2gMCzpZ6QiIdp7/ZBPd+ti3ohUS0M+KLTXi/Oc6ZtkShq+PkYOV380IfXm2sBvlRfBpyshC+uOFc+m8I8dr/244awZdfso0y4aPF7xsyIrUbR0lHpyivXi5YiBOVw1ysa+jCoShxQYXG14Sdlyz8BrPKXPUlHZXDpxRJlJDJftNG0wzxhSJVlvH7zcyqqKhUpSJ68X5WJQVZ9EpixQnzJtfV0Rdfbg3ZAnElJEFItuA+fcba3SdO3bCjq07nvqOLrrrE7rmns/p9S+2ot47jMiSB87AYQeaXEdE2to4FrHNqD744IPp9ttvp88++8zt8draWrrxxhtp5syZIloN4pMtuxXl71FqilawuE4ckeaNc63/9WwFA6PaGI7ERG2crU5lqrUo/VvWVEsBOqNCabzI5igcw4tbueS1ql0cn3NSwbjIxkg1G0K4iTsdJu9+s50qKpu1hXG49oPbUkVaNo8/vl+vHC+Zju0p9MXK+Gbg8gSp+u0rW4oNs0UzyrR/00YXWaqWz+8lDXpZDuUNdk699fU2+uszP4gIFEemZ45zGtUsmjZWbUvpamCt3qZE10eX5XoVVmOlfu4AIOEe3ZIRpdk0KD9dGPzPfrRJZFpFchp1lWpUl7iUk/GYsXAijzMLr0Uz7BT4erXyHXjsude45KuV4ftufG4++tZaoXEg27u9+sVW+v2jS930CEAY1teqJku61nI2stbGsYhtRjULko0ZM4Yuuugi0Uprz549dOmll9KBBx5Iq1atot/97nd2fTSIAtaoN3tf/amDihCGceLgVO/7XllJj7+zTnusvcO5gOVUNFdkijDqqc1FQq1cGGhGdZCGphTNazMZqc7NdGZusHFttQifLLvgaJ8d551rKQPqqhW4dZKkss58urJZWKzqnSUVdNMDXwlhqn+/sZqixZBYuaXOq1E9VBX5MtuzXionc7aUawZM+NoE+taJYBXrlz7dotR/l+XQRcdN0hxvktJCxZjkvvaSNWp6++QRigPCGwfNLNOOZ3lxlpvBzy23mM9+3C0yrf7v2eXCaI/EDJS96vdmR4BrBtuR84aL37kvty919GiA695liv4+40qoJC+dLjp2kti2boeyngoHby+pEHX+POfffPYsuvCYieJxNrC5BR6LDILQsnmXM1Id7d1xog3b7iQpKSn02GOP0SuvvCJaa3E7rfT0dDr00EPpnHPOoUGDBtYwgdhn5ZZakU6mqZGqAitWID3xRiOEVrJxRyN9p0ZWjl4wXNz4XGv+GtTIyMBINdpp6SU9lSOhndTWaV0aLRvoXd3KgqtArdsOdfq3jFTLPs+u78eCdlYZ1dJ4z7Og7MIbvBjPTE8Sauqt7T1UZJ3fzA2OPn21ao+IRsl0+UheEEsq9oY2VZPbKXHrJBmVla2h+HwLVunebthAZNVaro317NNeohpPnPIcTLmHa6Q2HEhRwtpG93uDKz9uVupmOVX7utNnUErywPvFoHxpVLdpDgl5n500UhFh88ZBs8rEvXOql3sxC6lx5PHLlXtoe1WLMJ7+9MQyOvuwcTRnQonIGvK2L+FAOgvleSE5ZJ9yYfhxbTzv/2RVkC7a4DZvDKd9SyfQ5FHKd+GUf84+4cymUML3pLeXbBe//+TQsTRuaJ74N2lEAd325DKqa+qkt76uoAuOVgxtYD98zXOAIMGlj7mW/h3GtXG8YKt7NikpSfSoHj16tEj7zs3NFS222LgG8QF7tFnkhX9OHllA/3p5pVYbWpyXpi0ErCAS2mqt2KKoj8ooQcnMMlHTJvGM3En1b0SqjUeqrUz/lgtsNjKSkxxhaanljFR7GNXCWdRJHRad1zKNPMNGR05WWrJiVNtUP8xq6Nyrla8tbs13oRqxiUR4XzftcmaouM4HdsPH/4FXVwnDlOcYVq3mxTmnZbLiNBsckQz3TWZYtdozMiuNYTaWOBJv1LiTTgYpfhgupDCiv0i1NI7PO3KCz3uFjNDKTIhVW+pEtgw76UaWDqwZdy2p4VpqXw6yw+YMFf+4B/SDr60SHQr+98EG8Y+jptefMUOrdbfifGUHihnRTllaVZDtnmnE0Wruzc216FyCMWl4vu4Ufj5HcjKTxTEKN7Ktomv9f3Z6MqUkJwqHcGNbF5WkhHZt/dT7G8R9js+9A2YoNd7ymrr0+Cl0+1PfCYfiWYeMxRonBHC/+0ffWqM5xORcIYXKokEbIdqxdaZ48cUXab/99hNttLhn9U9/+lOaP38+3XPPPRGZPgSsh1tysCF93yur6IXFm93Elg6fM8zSz5JttcKZ/u1aQ7R6W50QT9mlphkyHLlzBenfxsmww6jWlL+DrzE2G6muVxeFnpFqzVlkUeqWNM7ljTZaUvRd4QW9NE6/XLVXi/JHIp51haFMwfv4+13CoGaj9B9X7UtnHjKWFqp1s0vWRH6N6U5VdKtcbQXleY7JDB8zjgppVOeF2aiWGg6u2huucMq3PA4jvAiqSQardeF761qFcfrcJ5vE39xzO1EV8QwGrsu+89KFWv9nhqPYnAXhbz23eXejELFaoUbb/YnG/eLeL+k/byhGgVHYicd4y744cq7Sq3f11jraprPOl+eY6+/7UvTulg7PcMHGkFxHjFRTehl2DuRkKN+3Sf3+oYLLJ7jGm8+sc4+cMMDpxWUKLC7Iaz4jfdiBOfgcve2/y4TTi50a7ICTOPWGEKmOWqP6o48+ot/85jfCqL7vvvvo+eefp4ceekikfnNa+AMPPGDXR4MwwTd/V6OZb7Qfq0qljGztwYIqvLjjliVWIhdY4awbcV0Ycdql5wLBM3InDRwZ3QT6jWoro6BWKX8H01Jrg6piLGtFBziLLI5Uu7ahsxrZ6sfKMeKIL6uWc3rr8o3ui7RXP98S9oWvv/YmjFSrDpXTT6Rmfl0hfj9m/nAtA2PGWEXgatueZjFnR0ekeqCoKRsUhTnppvvWSyeW7AUfLmRklY18b8Ypz02c2ssK3q71wp5wezwug2Ahs2c/3ChqzXOzUsTYWwUb57xY5/2QEXbu5OHNIcDnFkeGb/vvd0LE6v5XV9G2vU1uawSOrMno2fvf7hAp66w/4CnoGQh+Hc8PDH9nT0ryM7SafNdSDH+OsI++2yl+557gi8Pckov3h08NNpY8y3bk921sNXbMzMJ16SxY96F6fHg+mTg83+v1uc/4ErdMC2AfL3+2haobOoRGxJUnT3UrBYiEgFO8YNtK/umnn6ZLLrmEfvGLX7g9zkJlbGhfddVVdPHFF4sUcRD9sJDKvS+vEN7K606fLm60PNl7E5E569CxNMJPOlrwNdXhmTh4QcQ1RBJePLCoCxvMi2YOoXeWbB8QuYP6t3EyVYPNjkg135CCxUz6NxsFHIlgZz+3x3HF6h6TchHrTQ3YageXVfvMfd7f/GobuZocvMBk5xynN3/6w27xj4V7FkxxKhhHAtxLmeFaQ54XOVWTF6VWRA8DfS5Hqfk4cSqgRKY7s5AQX0ORXI8uW165Cmi5kpuZTDurFePMKA0Rkv4tjSIeDzYMs9XIo+cxGFyY6Tctmo0YFib6cXOtyN5gjp4/3JKWla5wneZfLlkgfv/Do0tFrfX2yhYqynU3+F/7fKtoJSnh8/6Pjy8TZV+3XjBXpKezoc3OvT9eMFdzKspe3KyVYDRKzY4H2X3AEzbwlq6t0tWCjZ10rny7toqO31cRbQsHPG+QS42sK1qkOkROxX+8sEJE/CWHzR7q87kyVV06FoE9CHV7VRn+58dOGnCeoKVWDESq9+7dS4cddpjXbQsWLBDGdE0NmtbHAuy5fOStNeLGxhf3bx9ZSo++vZb+/vyPYjsLmnDvS2b+pEG2GNRuC/kwRao5FY495rxUXuiysL/ipCk0Rm1t4Bm5Q/q3eaPVaCQ4FO203A1K/eehTF/lOlHpNNDeL8Xq9G9Zx29fpNqZAh/8Pu+pbRWLczao2ajgGkLe9yPmDqPZ44vpmAXOSNyXq/ZQpFGtChW6Cm2ForZNqluzQepaQ8rHUF5DzSaM0VDB0VmOvDCcvu6NbDXVt6m123SkOtzp3zwe0rEhjUOvKfAl3o+BKxNdRLg4kix7GdvFMPWcHlji0EPvLVUErM44eAz96cK5Wgo/j+kLn2ymj7/fqWWW3fTg126Cc7trjClGN7Q6S2c805Alsm0aZ7r4S1f/4JsKITbK7/PLn8wUj7HD0+oWjkaQbdJktosr0mkSihKYnVUtbgb1+KF5NH5Yns/ny1IBHk/WPQDBzeecMeGZlcMZIU+9v14EcTjlnp23nmjq3xHWbjYWsS1UMXz4cPryyy9pypQpA7ZVVFRQV1cXFRREpwojcIdvQJwi5Yt9pw6mcUNzxc3UW22cVcgUl3BNHHXNymSXk5UiWpFs2tlI+4wvFgsd2Uu1VU1RGyhUFhkKqtGA2Zplf9RZalQr+8dRQr0RSels8TSoXd/PqvNaGnTyeon0MfpixR6tU8C1p00fsP2URaPFHPPrfy8RUSj+fnZG4Y0iHSalBRnCgGLHG1/3MkXeLlgRmCnz0oOZBabYKcWOwMHWNWCwFNm3mQ0lGY3zGaUz6Bzghag0YMOd/s3kZaWIKDWnPZd7lH/sChCtd4Ud2M9+tFH8ftqBY4Tol50MU/dVRtMln/+4R/S3ZiXuw+cMFU6dP144T5RE/eOFH+kTl7IwX440I8ix5OPoC+7EkaAa8U1t3V5rr9nYfv6jDeL3YxcOF73Q+Z7ATtcdVc1ab/TwGdXeItXJIYtUL1vvbA145LxhIhPCn+gbZ4Gww4jPbb6e7QqoxDrskLjr6e/FecuG8y0/na1t+2Z1pRADZs0AVuX3Nh5aFidaatmObSsPTv2+8MILqaGhgU444QQaMmQItbS00A8//EB///vf6bjjjqNt25ypQSNGjBBtuED0IRe9x+87Qqh5sxAI35A4/ZDTseSNyLNW1Go0MYYwTRxS+IZbMnHE8Y5LlRQ5f8JNsg4sklMwIw07UpnsqKmWNUzeDGVPZBREnife3s+q8zoUNdVWGtWylQwLLvmCazx5ccmLDhYHjJTFW3dPr7bg5/RYdp41t/WFpLZtV41TOdtbhJfbVUVqHbqrM8KzRZIrUtTP6Pdobu0S6da8/vRWgxtquE6WI9KsZG7EOeLNiOH2RZyB4O96sQp2FHn2xl67rY6e+1gRSTtkVrnbIp8dY6cfNIaeV0XUDp5VRilJDnpXjWqzAc611UaNaukU9VT+9lQB5/mdzytRb+7FqOa5g7sJ8LqFjUaZYcJG9ZY9TWExqtlhJK8Fb/NaKCPVMjhw7hHj6UC1v7k/eOyHFGaImnoOvETKvBxtfLO2UtzbZA9qzrbgtTa3kXv2Y8WJduzCET6Pr1PsFJHqqDWqb7jhBmpubqZHH31U/PNk+/bt9Oyzz2p/v//++yK6HYjdu3fT4sWL6Sc/+Ynb4+3t7fTOO+9QZWWliI7vv//+Fn0TEIgKtV5m+pgi4UmVNY3cqzCUWF17apQWddLzrIljstTHOFLNkSpZG9fSrtwIs9PDv7CLFqyO3LIXWN6wrFD/5rHlBRynY7V36DOqZQaDt3pALf3bKqGyEKh/W2VUc7RfppaOLc/zu3grzk8X48gZMZGyeGMlVoZFY9hhwo4Mjg6HImIg079l2qu3CG8kp3/XqGnzRX4cXRxxNxOplqnfbFhFQrskKT7lKdDF57/MAtPrlPbVHssOSlSjuqq+XUT/OWWaSzX49/mTB9Ghswe2bDti7lAaU54r0vsnjsinXu6nvb2eUpMShSHLRjVfN673yUBILZNA8zc7u9lAZWPEW5rssnWKACILb8noHqc3s3r1lyv30pFzh+lux2UVsh55UEGGJtLpinQO2G1U83iwY0GKzeqFVekVo9qYowS41/S7wmJ7XOPPtf98P2GH8sGzynVkcSIF325sW1Xdeuut1Namvy6muFhRZvQHG87XXXedSB13Naq5Bza37Ro0aBBNnDiRbr75ZiGIdtttt5nef6APjhDwRZ3gY/EWSsJdN+Iv6syTnuwnyVFRvkG6vUZdHILQR6plPbU0fKw6F7t7unTXfcsMBm+LJuuFykIQqbbIEcC9WTmiyGmd/owrmd7JXnxeMEcKVfVtmjIzL8ZDVaLCRqZ0FA0p9GZUS2PUnj7irnzy/U568+sKISI3wYtKsC9q1Hpqf+MuDYpmgzXVkdKjeoCCs0ekmh1KbKDy9kjZV1eKctJEVJcNLo4WswNx406lJzuXQHkzQPkxqTHCJCY56PfnzxG/S8Ocf/K6Qu93lqVXgYQm5XHm9/bGElXsyVXYb98pg4WyMjupeH5hh0Ao2aPWl/vKVDCbrWEUzjzk9QvfI2X7Nj0MVtc68nsEC6foszglz13XnzFd62oQq7R1dGvq6awf8tbXFfTq51vp9S8U5xVz6QlT/GY7OtdMiFRHrVG9cOFCS99v8+bNIvq9du1amjRpktu2f/3rX8Iof+KJJygxMZHOOOMMkXJ+0kkn0ezZztoDYD2yloqjRHbXb+ldyIerbqTZj1EtIml56SKVjxf9bFTL2kpfrwHe0YxMi24QlXXtWgqxVVEINqp5kaPXqNST/m1ZTbX6Pq5p6lZjVco6RziYMeV5AceGry8mkoxqmborHY7Oc9feOWq3+rlskLq2VpHIbBozqtlG4DTbJ99XalQ/X7HbmFGtprx6qkpb8T20HtURUE/tL1LNPZ6Z0UNyQx4h1QPrRXB6PkfTOQW8p6dVOMH4MU5PNfx+CQmUnZksnAs8f+o1qqVjNFCk2lMpm+cKNjg4yss/pVL/rPHOIA87OmeNLRbqyl+t2hN6o1rtoMI9n73hGqlmg9Ou80Q6S7hfuS8xOG/w2tDV8REsrDS/bL2SUfDjplqaPcH+Modwwmr+fE3xPYRr2L9atVfMX9Kg5uxQf2JxnsKhdp4jwAajmmuo//e//9GZZ55JhYWFWqo396z+/vvvqaysTESbjzjiCN3vuXPnTmEk82umT59OK1ascNvOqeNXXHGFMKiZ0aNH08yZM+ndd9+FUW0BbPz99931Ih3v4uMnuy1EXEV4Ys3YMp/+7d1ALs5VjGqpciqj1Dy/eYtQggC18xalMnEdHWNmEeiLDIMK4K2dyrmQkepNqMxi9e8oqqnevEtZyI11iWz5QtbDy/r4SHI6yj7LmuPP5kg1qxWLz/URUZJzFNcW2wkL6EikkreV4oGuRpKRxaI8R6wo97ACKbAlVawla7bVG063DTU8bwqjuq5NM1ZdI9FGyc1IEUa1kXRmveOpRXXbusT59duHvxGCaq6wUBw7a3pcHueUejaqP1+xh46YN8zSe0Ug9qjXsi+jWn4nLjfiud0uZ+n67ebORasj6a5iaVxrHOtG9Q/qHDprXJEY2zsvXaCtHeUcGGjek/d6NsT5PEkJcwAslrG0mIiFyDhKfO+994pUbYZTtS+66CL69ttvhVE8efJkuv766+mzzz7T/b6ZmZn0zDPP0N13301ZWe51RXV1daI118iR7j0E+e+NG5UCfuDfoHh7SYVfT//i5bvoi5V7aN32Bvrj49+63ewaXWrTYs3YMkog0TEpuCMjadII5+cb8fzGO1oKrUVGpkzRlSn51rb96g4+Uq1+X8tqqqNI/VtGjryp3noia9cjQYxlw/Z6evqDDfT16krxt+x6EKpItWZU+1CMlgtdX2mwwcKRlJc+3awJUsl98tfKyJMGHS2vcjKTnT23DZxrXAMcSAQtLJHqZue9lVM1pSHDAl+RyqCCdC3jh0VK9V6vVhlhnB4rBd5K1X3RU4PPdameBjUzzosYGddYTxlZIM4zrvkOJbIWmfuUe4MzBOXax666ar4/rdyitNKaOsrYuehU6O82dP37QgZyZKQ6nK3OQsEm1bE8WdUoYp0Bni/kPz3dRVyzlUIh5Nvd06tlA8Ublq6qnnvuOUpOTqaPPvpIRKQZFg9jle8rr7ySrrrqKvEYR7I5ZfuAAw7Q9b75+fninzeamhThhOzs7AGGuNxmhqSk8IuX+MKhinfIn2bhNj5//u8yMSlxy4ZrvLSrce2TyfDN68dNNXTwPuVuKc+cphXuYybFwHgxEo59aVHbIrEap7fPl/VcvPjj7W3q4p+94q7Pt2p8YxVZf84ZFFzMr1fMJtBNmiMBVp03mfJc7O4d8J7exlcaBKzK7Pl8+X35ZmjF/klnRGZGsm3XiVy8sjCK2c9g8TZ5Y+Z+uIHeR4q8sQBSOOcini9/9/AS6unt11Kwp44uFPskM1JYHM/OfZTRraGDsrx+jjRUef62Yz/YUfvRd0ofYgk7WBrbugPWxsvjI3UG+Pm+9pEf50wOdqTyNSSVkAMhs4U4pdLI97drbpZZFo2tneRwJIjI04YtjeIc4rIGjp5GasqmNPaqGto0o5pTpM2eV3IM+X6q5z32qOU73Jc7J8D4y0g2O5O+31itzfucacfnBBuox+w70uv4HrNwBK3aWkdfr9orWheFItrHjnqpe8DngK/jwcYVB0jYqPZsyWYF63bUi/stH6uRQ3IMnYvymHOEtKevP+j2oa7OFt6nzXsaaebYwJpM0bi24mwKvgdy0IVLoIKZq9nxwvd+IQBo472nv7+f/vrMCqEU/5vzZotygVARCeNrqVH91Vdf0eWXX64Z1Mwnn3wi0rLPPvts7bFTTz2V7rrrLiFklpERXHTIl+crmLoB9vzk54dXdEsPOTnBednXrdyjeflY3bKHErX6F1ek4cyLVl7oNrb3aMenVY0KDynJDvsxS05TDBleiGRlp4VcwEIey8E+jkVhnnKu9/Ur51f/9gZtgevt+cGOb6ySk+OMLqSmp2qRDbOw4etv3MyQry4k+hMSfb6n6/h2divfaVBx1oDn9yYkainDeXkZQS2u+YbKixtm8KAcr0r1VpCsprF39/aZvhZ319eKnzwnlQ0OfGMuUaN8nT19YZ2LHntnnZiDhg7KpgNmltGhc4ZRkVrvna+OeV+CvfcYWYc5YVSR188pV+dtIQZlw37sVI16CTtFtu9tFveOsSMCf95eNTqXkpQoxt5/L9w0au9spT4/15rn2kBmC40dUWjq+1s9N/M1wvB5k5SaIua0dTuUKP+8yaVUUGBvO8pgGDeiUIsaMixcNm38INNG5yDVSO/s6dc1NnWqMvLIIbkBn19W6qylls7FP126r64spX3zMqjknXVUVddGG3Y30/4zAreUCpa9DXWaY2lIqe85cMSQHGFU1zR32XQ9K/PJzPElps5FadBRkiPo/WtR11ncl5mvlz7Sd93rvX77+vrF/MPrMu7i8a8XfhSBmp8dO5lKfWQL2MUSVY2ex7d0UHAdLTLSksUYJKUm23rvefXTzZqw2rtLd9BvLhhCoSaca2dLjWpuZ8X1zK43r2+++UakfBcUONsrpaayEZEv6q+DNapzc3O11HNXWltbKSfH3EnIF1VTkzVKhXbAXhg+aZqa2kU7CrMsW6P0l2bYN7F4WQUdOnvogOfxTYQZNzSXlm+ooR17G6m+Xln01Kips8mJpD0WLnjcJLv3NgVtbBlFpsJTb6/XY9GvjlVjS4fYXqnWW3KdpevzrRrfWIYX25y6t7eyiXqDTOGUirv9nLJk0TmcpNoAfH14vqe38W1VW6t1d/YMeH6XGsXm1MOq6uagIiSutVgdbZ3UozM9PRzX4prN1Zp6tZ5x6Va/SxtHuMM0FzU0d9Jny3eJ3y86bhKNKM0m6u9z7k+/OgdwBMKmfWTnnozmZCQleP+cHmlUd1FNbbOlbaW4bq9Cbb3DZRDnHjWBfthQLYzqtVtqaHRp4EV5xa4GLWrZ0OD/XixLJnZVNlFZgPRfmVbOi0u201MS+g2Ng51zM2d3sJNjy/Y6GjYoi5auUu7P44fmhv3e6o/inBSthSDDkdLWlg4yu8ep6uRZVduq63tv2KYYnqX56QGfn5ookps0Bzgbq67nQKDxnT+xhF7/chu98dlmmjLcvziUFazfptTTstHv77vxd1eeX0v105SWplayarOyH0OL9M3FnrDztqOrnXbsbqR0R3AZF1JrgbNMWLSsqrZF9z7puX6f+XADvbNku8gsnDKykL5cqVyH67fV03VnztDd2s4K3vx8s/g5f1JJ0HNAKi/S2aFU00KFatmM1bR19NATb63W/l66Zi9t2FqjiYjajV3zM7+n3ui3pUa1w+Ggzk5nHv2GDRtEzfNpp53m9ryenh5hUHumbJuBjfWioiKRYj5//nzt8a1btwpj3iyuIhWRCp80weynFAEaVpJF26ta6Lv11XSgF++rVG0cW5YnjGqunZKfK+veuC44Eo6ZbFvFxoOsaw0FvX19Wroi16p6Oxa88JBpkLxdGuG8KPT2/GDHN5bh2tSuHm7npl8hNlCPaE79s+p4yxq31rZun+/pOr5SB4CdBZ7P58iPhIWl9Ka4eqNFNbbEudhv7zzHx5P77PIYmbkWt+1p1uqR9exnsnrT42PZ3d0blnTZD77dIZwfE0cUCIPac79T1Yg9l97Ydexl6jfPyXxMvH1OWrJDGBfs+mho6gzqnPKkRo0C8nn7j6v3E+UZ0jHLPXf1fG8pPMUL20DPl9kW9dzbWMd7S2V0IYBm8hqwY25mA4+Naj5W/X39VNfcKeYDFumL5PuAIyFB1Byv2KxEqqeOKghqf7NUbQReW+h5nx1qH2d2vgV6Pt+bWSmZ9WGYORNLDN17D5g+RPTh5kgcj5PdQnfVau0/n6v+vlu5qp3AjisrzxV2kH2xYg9t2tko5ovRQ3JMvT+38OPsgPqmjqD2jzOt5P2aU/bZqOb7i9H39DW+lfVt9N43OzRnuzSopcL8Lf9eInqv/+TQcWQ3vIbl78fMnTgo6HGVaxLW8rFrPlmxqUZkD7BWBc9nLLT48Xc76ZRFzmBrKAjn2tnSxPMxY8bQ0qVLtb9ZfZvxrJ3mlPC8vDxLjGrm8MMPp1dffZW6u7s1Y3758uWGFMbjDc4ikO1ejl04QvxcV1E/QFiI/5YLfinbzyrg8j2kMEYkCJUxoeoD60lru/PzMtO9GxBO5V81SqQJm0XGsYsmpPhJsMIsvGiQ57xVPaplqhWjRzyJryPZP9KbIjfXU1nVm1uKlMhz0U401XKT16IUKdMbGfBUOA013DLqg2XKguz4A0Z5fU5aqv1t/2Rqsz8RLi5xkjXoch6yiiqXz5d6B3LRL+85ukXKdNxXZP2+XGxHm0iZpFBtHcYaD1LhmI3VaFDqPePgMXTQrDI685CxdPy+7qKxRnFV6NYzd0rNlzJVDDAQR80fLoy8kYOz6dgFytpHL2xEy04nu9USBTuR9zepDu8LOUfyPgmtEQvgefThN9bQ4++sE38vmlmmlbGYbxkX3P1aZuCww65EVWB3XXsFC9fL8/d2dWTPHl9Mf7l4vgg+MR8u22l7K0KGdY5kq0+53gmGNE3g1b618Ro1a2T66CLhgGJYENAKgbpowdJQ3sknnyxqqlnxOykpiR577DEaN24c7bPPPtpzOB381ltvpVNOOcWyz2URNG7hxf+mTJlC7733Hp111lk0a9Ysyz4j1uBIgIwmzBhbJC5c7jO5emudW4sCubjhBatchIhIUA8LHvSLqDCTmxkZ/T6VnpOh71Wt1Z2nJflMpfRs+RVILRz4hr2g3K7IVQnUDGzw9XsYwpaqf6vidf7ga0jec3wpcsuatGDPa6fxbn8WByuA8yLKjBo/p4/vqjZmVLPCqYy+svMglMbItr1N9Njb6zSRpgVTBosUtHA4/apVp2eglDs+R3kOskpVXiKvSSm+5WrwsJKxEMoJkEqnGdU6IuhS9V0KRQaCBbUYuSiPFIrUqCcfv5VblKjv3EmDKBpgsbKfHj7ekvcyov7N8ws7Ltnx6Esd2xNWr/7H1fub3j/+HG4htqemTaQH24ksTQqUScL3QynYt7e2zRKxMo7GL1lTKcokTtp/FB05b5jp95IRfdlP3CyyWwGLd2ar6ybO+rGKHzYpae7nHzVBiO6xkXjGwWPFXPaHC+bSL/71hRgTziCwwtD1xzbVqB41JLha6gHdcWxcG+9Q79m8z9PHFInMUZ7PKiqbaUSpNd8j0rF0ZbXvvvuKftHcUosN6yFDhtD//d//aWl4bHSvXr1aGNmXXHKJqc/Yb7/9aMQId+8i98PmSPUHH3xA9fX14vPnzJljyXeKVXbXKguLUlY8diQKw/q9pTtEX1FXo1pOYnyj40UYG+Gc3siPy2gQX6yukv3hRDNcQx6pDmwga9FG1cgI1Nca+EYqCMusCbPIlH2e/GV6vhVIlWc97T6kk0XUeKp1T74N1ODOa2ngyoipnQTTVovT8LhmntNf9faE5YV1qnQ+sBJ0CLNn1lUo6aSTRuTTDWfN9Fl/JY+7nQsbmTIayKhON3COmjGqi9TIK8OLUh4bVmZn562v/tmexoS/dlqSTIPfQ4tUh6jOTy/SCcERKhadSlAjPvGGNKr5/shlVf7q/WUfeG7rZeX87Q/ZL1q2urITVoPXk7HBa2zOBtm4s1Fk+FhhVEujbta4Yi2b0SyFOalu9dBmkY4zXmfJjEB5Dw8WjlCzQ0I6RvedOnjAc0rzMxSjuqHddlXranUelZkRVt2P7XLouma/lhdnivIvdmBxWSkLIcOoNsnFF18sIsZVVVU0fPhw0WJLsv/++9O5555LxxxzjNvjRnCtm/ZsoXXiiSea3e24g+tQXCMBM8YoRvWKzTVuNzLpLeYbHU/c7CHkSYWNahn1ipTUb7cU61BHql08qL6Q0UE2ongCcqZ/w6g2a1TL2kuzyEiyjHZZ36c68A1Mnqt8fviqA3ambkVXpNqsUS1Tv7nPsp4+nK6faUVE3yibdzt7ifqLwlrdc9xf+ndxXpquc9TqfalVHV2urbNEJLEgQ0R/uBY1kFEtI9V67i0yjV1v+rdcOMv+ypGCPF6yLy07vKVzLp7gCCRPg5y9w4a1vyitNKpleUEokBl70uixE5kurUfzgJ1EbFTXS8HUIJEG0vBBFmgfWRSpltc436/lPVvvda9HZJIduRw48tX2jx2V63c0aCUudiIdEFbV7dsdqXbNfh2kOgL2GVcsjGr+d/IBoa2rDhe2zNisuu1NefsXv/iFHR8HTCC9e9LLz545/p0fZ1GK8cOUvuCydkSmumSnp6hGtZJ2FWlGtavhGkpaVPVmPj6Bakx5scCTd4sOQxz4rz+UBoRZZD2W1YtXQ5Fq9Try17/TeUMM7rzuCGlNtXmjTS6WjSqtascpxJkqUlRt5OAcXZk0dhr9Wk1zoEi1TUZ1dYOa/u2xGJSCYnrStM1EqvVErEQ0Su1YYVUEyCo8F/LxEtnxhJ1obFhzf2auKfZnULpGxkKFNObs1m3hc7VJZ021m46HRZFbWatuhcNCGoZ1TZ2WrVulM821o0UwVKpiilw37is7QracZcccG4pPvr+eTjlgFO2v1g9bSa16rKwyqu2OVMse9WXFmZpjedroImFkc7nE7ppWodge60RHB3RgOTJCJydinkSmjlbqg1ZtVcQGPCPVys9kzdiWIho5FirHBos0TGSKdaiQE7svkTKG02FkzI1vfDK1K9fm2pxYRKbg7a5pE4sPs7TaFalW348NlkD75xqptvuGKF8v389OpOFuxmiT0USjN2HA14XBAABWW0lEQVSrIvpG4O8nIzBDB2XpzKSxZ2HDWUa1jZ26a6r1ZlMYSgGsafE6dlq6pg5hISNCZVrESoexLqJR3Uo0KlRtXvTiWoPOsJBWvJLuMn8GKhNh9NZTW4HmjLJ5juHsNy614zWDnpaEcu1j1fVcq2pCWJHRIZ0CvJ4MRrRKi1SnJ1ueabNXLQthfSFfjFHrm7nW/L5XVorv89zHmywX4uL3k5FqmTofLFaJnQbK1ho9JNctuMAp4MwnaqvJWAdGdZziGalmZEqejBIw7C1mWC3TNdrAE740uCMxUm2nwqE35I0sI9W3ccapvbKmkr2iLPTGaZH5Fk2a8QTf6JMcCaJlUzBiZdKrb6XyN5MhsxJ0GMKaoesnemy1+rc3lfFIWnxy3W2gBY73z7Qmom8EGS3j1m6BnDNyfuJr3w6F8obmLk29NlCUN90Go5qvRa7b58+Xji+JPDZtAXqjd3X3avcnPWmvRtK/uVZZRqMCiaWFGj43XEuBRgTIeohl9JZxafX7AUodIqmrgV6kUcXXsZ5z1RmpDj5yy0K0Un/DivWdvEbZScD37OCd4Elu90QrjFoZqfan4TF2aN6AeyfPn3q7GhgJ0sj7Q352WlRkcW7d7V1Y7eBZSpte2dEg1omsuwoIGd4idN4iF9wXl1w8pVJxkY1qTZkykoxq7YYX2ki1jIwHMlbk8ZapMgU5qX6FWIB3+JjJ6MQutf42mOvA6vTv5CSHJpwTKB3PGal2BK7FDTr9W62pDkWk2mQkgRdIMgIla7MiOVItFU/1tPRxHWM7FjeyXIfFD9lh5w95zrdbKFQma+E5Su1pCGhp2gEi1bImlEX79Di7XNO/Ay2upVHN9d2RCPfllsgWPvGInnIXNvzkGsRVFM9uQqGL4KoXUqCjBIJxRm6Dn/uaWpX7IjvHrMhqYsFJOR8E0wJLvpbXUXK/2FC3oo2YFDAs9ROZ5+/APaMlMoocbBcSX5mP/B2tEuDTsjhtujdK8eNyj3IBLi1l+Fq1KlU/ksFqPk6RC31XY8KpBus88Rs9a6pVA5prqhtk+rKOep9Yj1TLzwt0A5LCcJtVMRpfghggMMNLlfRIFg4JPlJtfV27VlcdYPHVrsPQ1fobB7lg0tS/I7immsV5OEWXjUKj14ezF3zorv+N6vk3UkcNLNeLyk4JdixupGCizCgKdaTaX29xLaIcIJJWr9YScoTGl3Cft/flxXWgYyrLCiKtnlpy3MIR4tiduN/IqOhPbRdauYuf8ZQ1p3w9WZ1ppFcXIZjSI6uFqpz3m+ANF01LRxWoDRZ+D6fzqzv4YFB6slvHGStS8aXDrSTA3HDaQaOFIvrZh40TQpqM1X2rnZmPDuvXxjbcG9lmkAZziUd2GX+u1NeQbTJjGRjVcYprGo1Epi77jVSraeAi/VuLVEdO+rJWxxli9V+9rYpkbZE0BD3FfIB+pqm1Ois2Kz1dIylSLd4zVZ+Akp5ItXVCZTLVPBSRanNZI07BmDTDKbqhFirkyOi67fXi9wnDFXHHQDhb6/XYJ5ioQ/zQ7PiYNqq1SHUAo7q501CEzi0KFmDBLhfOrKwdiXAU7NYL5tLx+42keMZpAPg+N2tUQT7u722F4acX1zIdbhFnF9JpoHeNoGUaWpB5IrvDWNmL2ahKv3/17ySthaIVc2lfX78mehqo5Igd8FeePJUO2adcOz56eqobwSlemhwVa2NZrpWbmeI1sCSzuFisLNaxbWXV19dHjz32GH344YdUV1cn/vbkiSeeEL2sQejxFqHzplgsa6rlIk2qWze7CJVFVPp3mCPVgSKAss5RevVG2dzrMJaRRgwvlHlxY6ZXemsoItUBFjnaDdSPoWtdS60QRqpNpklKdWa9/antiOjrhQ1AjqxzmuRoj1oyf8elkYLvOR5spDpLPeetTMnbUdXsM3VZXmMtHfrSv7lGXXcULD1JpBeKa83PlCp7C0dqpBp4lnH1BI4sGtRdCBZOx+XrnTMjeP/sEn2sa5aR6lRLM6P0INd22aowrRUYUen3RZs6r0sHAt/H+N4frGOQhRF5PHlcCwzUMMvjY3mk2ksmqXUZFtbfd5z16Olet7NeEwc/dsGoNg8bzHfddRfNmTOHpk+fTole6kZTUyMnwhlPcHRF1iJJ7yHjqaaoiFX0eFX/5klXTiSRlP4dLvVv6f0LFAHMdxHeYU/r7PHFtu9brMKiPjzefEPlBYgZBVi7hMqMCDN16MhycJ7XPRZ5wEMQqZY1uwZv4lV15kTKrIzou6ppt7T3+HQcVqjaCHzu6U3XdYqp2Zj+7TKv+8K1lMcKuK6xRm2n5U21XW+kypn+rX99wA4Cvqf5e292HsjoXyj7GgPjpOtwInKbHibUbXrYicPzJ59PdmbEOdWfjUWqrdBIkPOIpZFqzanWbZkmiHRQBmso1qnZMZxJyCU6esm1KVLtTP+20KjWunFYf87K41fko6OCvEatFnSLRGxbWb3zzjv061//ms477zy7PgIE0ceUL1pWT3b12Lt6OrlWSE6s7L2TF7eMgEhhhgSdqYahwk5vnBURQFlTLXtr6okoAd9wvRlP1NzSyIxR7Uz/tiFSrTMdT09Ktp5FZsxEqqXX20Q0UU8tppEo9F3PLBde+AOmD6bzjpwwIM20olIxqoeXZkVENo00kPXMybKjg1VRFtEuR71fSIPdFb0tcDStDgMZUHqiYHKsOLJpR7kHsA49Kv7hzDrg+ZONaju1G4z2KZbndFdPn1CODkbgyrOVqhU4W+p1W3b/sspBabR+faBj0loBrnY7ItUu9x0OrFlZMsGtCv0F2MrU9O94iFTbVlPd3d1N8+fPt+vtQRBsUaXvhw/Kdpt45aKHtTc4pcabWIXnYo0nlUhSr7bTG2dF/99hLn1sfXn1gH6kF79OXYBEUqTaKfwXSKhMRqr9pX9bs3iQBk1o1L/NXYsy7dGzb2+o65Vf+nSzltb22Y97aOWWOrEY4ei1ZIOqjTBCh0jZwH20L1KdpcNZJxfMLApnhYFf7xrt8bJgcwrX+W+B46njoYcMHVGwnWq9dzyrakcLekSVZB1nKHtUByvCqBfOEpSGrd70b57T5VUX7H5paz87ItVBGdXuDmirHJRy/WDUqNZqqm0TKkuy/H7MUy/P+VbC6fOeQSNX+BpNUMfe6qh+pGGbNTRhwgRavny5XW8PguDbtUq/uLHleW6Ps4HN0WtpCGjeSpeJlS9yjkRIIqme2j2iF5mRaqkW6UvMBxhD3gRl+5FIqF3y16LObD2+NIKDXSzJ89RfT2yrvz8vjI2o5HKNsmephF6siOjzvHffKyvpq1V73a7Tpz/cQLc+9i1d+ffP6fMfd4ux2LhTUfGfOqrARP9uGyLVUqhMR/p3arJDiHy5amfYubCS1xifC/561cp9MbKg1xMFkwvnYjgzIx7XHsTeYKeMXJ9I8c9Q4ryG7XHey3Ravj5de5f7gx1Z8j4RbF21dGxZmYUoyzmk880oHH3v6e13MxCtclBqkWoDJSeujj95vKyizYYyLZ7v5crd6vVxoHt2arJDm3djXQHc0pXktm3bqKtLObgHH3ww/fKXv6S2tjbaZ599KD19YFRuxIgRlJISWUZZrMPprj9uqhG/7z99sNs2jkazx59vVvy8arU+ztVTys/hm5hMTYo0o9r1Zmx1ios/5Ui5SNQTAfztebPpmzWVdOS8YbbvW6wj+0TKm6IR+PyQho0dNcZaTXVAobLA9fiBFpl6cRrw9keq5bXAyyDOfNFzjLkuVy5QjNTUen5mMItdNqa/W1+t1XWff9QE+vMTy7Q+psxTH2yg6sZ2IW4zuDCDSgyIqoUiUq1nMcxzIy8KuZSH5/ySIIzNFZtr6L5XVrmJMXqS4iLwxNeEr3PQTOqpvNb8pX8HMvpB5BBIxZ/nQT6PPHVhQoWmpGxTpFpq3vC1ZGQNw45M3qdgFcClY8vK9Z3MKuNSLTO4GoJSlNQqAU/pxDAeqVa74bR3i3WgkXrsUKd/83nEui283uD7o5USuXrm1iFFmaL0lFPAJ47Q74SONixdWV100UW0fft2t8fuvPNOn89///33afjw4VbuAtAxWfer6a7e0qZ4McaLGl6c7VZrljyfxx6nSDWq5cKdb7js2QxFr0/XyV5PBHDk4BzxDwSPvAnKm6IROAVKBlDtaDHlVP/uDjpS7awVNl8P5c3TbycpJlRyXetys0xESZzlH+YXlTtVTzrXal5/xgyRhv7TI8bTf99b73Ys3/yqQvy+aEaZofe3M1LdYkD9Wz6PjepgIi2c+vjQ66u1v30trNwEnnyMDztVZJTGkFGdHji1VKqK+zL6QeSgCTP6MJbYiJFzDEfBQo02H9tkVLebTP/le05tU/C9qqVjy0rNl4IgS7WkozQlme8riR4lRj1hiVTzPYrvxLyO4LnHqhp0O9K/pROCjWorI9W8HnEa1Sk+n8d11T9sqon5umpLR+zWW28VkWm9FBdD+TjUaBerDw+YTBtkwZu9qromR2I8jep125VawpwIUv5mXNsq8Q05NEa1MtmzIWC0ry4IDnkTNOP9lkYN26d8ow5f+rcaqdZRUy3rocy0D/Pm6bcT4RlPcYjood5Fj2b4+KjLDYVQmTSqTz1wtFbXvWjGELFoYgfB5JEF9MCrq0Qa49RRhWKbEeyKVLsapHrTNq0QK+PMJ5ltwUM2aYTvft28CFaM6l6/i3keeyNRGi1i5Mc5IMV0wpEuDKw1WrV+xWGIUluVEaPn3mRUUNKKXtWuIrVWCpXJrDK+DnmuMrpWkueCa4ZLoIwGuyPVbNzzOShqhdu6rDOqbSpLs0NziO/v0lmf6ydSzW21GBjVBli4cGGw4wNsRkbNMnw0lZeeSV7caBEbL0a1JDczsrz+vBhLlb0Lu3osvSnoaVMUinRz4F2ojBcDRgwxZx28PeOmCZUFMCg18TA/CyhZD8W3Lj6vzRjF3jz9dsPXhDCqdS4+G5plnaS5ecWZJm8uos/nkGzVIxVLGX6fYxeO0P7+62ULxWeYUY23K1Ito7T8lfUaG3J+DEY8Rhqr+04ppbMPH+e3tEB+d1/XhJa+npls6FrOV3vL+qrXVKIp5mv1QWgJtPg30jouGtO/pcPNaFmSFb2q2WEhNTCsrKlmUVvW7GEDjOcMo0Kt3vRAAmU06IGzjoyKwrnC2ZqaAFdxeDMVwpFhIed/rv1P9qM4L9sYcreWUJVmhgNbV1Y7d+6kv/zlL1RZWak9dt1119Gbb75p58cCP8iaM5+RanUSXbahWty4+KIeVpLt9hzXxWYwdXh2YWfNYrjbFAF3RM2ZrMU1KLbkdIbYM25SUdxf1ECINulQ/5b1UMEsILx5+u1GbxsliWvHATPINH6zCqdcHsOLLL7fF/lRH+faObNt2Kyqj/ep/J2u3yDVjOoghMoaZA18TlrAcyvQ+WBWdVhmrPgqA+HP4znCX9sXEDm41sp6U4oPd6TabvVvZ6TaoFFtQa9q6Zji7A8rM+94TpLlgo0mMmPa/USqgzES69VuE8kGROG8rZmtVADXhMpsilRbee/Rk/otg3OczcnjaLYEIK6NahYtO+WUU0S/alePRFZWFt1888307LPP2vXRIIi0Ehmp3qSq2u4zvniA92n66CIh3vOzoybQtNGFEXe8Q60AbvYGCIKHb/qyBEF6TA23QbNp3PSk4rFB3a+zHl9LdTO5gAil8rdZ1XIz7ZRc4Si8vN2YiQTLdl4skmZXNF+bnyxekMse1UYWhlpLmCAi1VJUSY++RiBjxGx/3Hw1wsQRI25H5GuRyvNFchKcn5GOXPyz05H7LvuqqbYykhpJ6t/OSLXDluwof8hSKqOp0HqQ68vmVuNOPGeZlMNSI1Frp2VQFG6gAni39et0qyPVFqXLey/Z8h/l57l3kNpTXvaYj0VsM6ofeOABOuCAA+jjjz+mkpIS7fE//vGPdN9999E999xj10cDHenfvvryyto0hr1KR88f7jVKc8D0IbT/9CGWqR1aiSZeYdMNz9cNUEYSQWhxqmx3R1SGgYxksjK8jJL52gf24vtLnbKiXlgTRAtBj+pgI9VmF8tKHbf542S2X2kk1GMaMW4lnGbtapCb+1z9tcqBdAackWpj48/vK9uDeUsBN2ukgPDA5S1a+x8v54oWqTaZLWJdNpy9kWrD6d8W1FTbOQc6M2O6LAleWFFKIx2pZr+vzJbgjjlWwGsF2U3GbDZUKCPVmlK9jrKaotzgFODj2qhet24d/exnP6OkpIGTwqJFi8TPmhqltRMIh1CZ94vVdWI5fM5QzbMUTViREmTqBohIdViQC+U2g+n+7TYbma4LeF9GhDR0+bmBvOTBLuScrbtCGak2Jowi05CDUZ0NRgFc9juXtfp2YIVCuTdqGpWWX0W56cYj1cGkf0tjXseiSm+k2uj4i1aPfvrg2tk6D1iP0nPZtwEQ7vG0U8HfzVFvVKhMay3XbUGk2nrtgWAyY7wFL6yOVJtBBqha2605F1znRqudgEYzxwylf2cHnrOdbdWQ/m2YjIwMUVPtjdbWVmpqakKP6nDWVPu4GU0ZVUCnHTSaTtx/JJ2w30iKRuyqWfQFaqrDi9n6NruNTE4f1gwoH5EDI+eOJo5jciEXyh7VZsemxWRNrbfPNON8qLNxQWmlQrk3uDUW468W3GqhMu7N2tiqLqoMpH/7jFSrKZRmWjXK7IYWL4tbPb3gQWThT9k53JkH6TbrtgQdqQ7CaKpuaLfNsSgzY8xEqjUHtJdIdTABFKnDwJoQZpDZElZFquW9krM1rC5BskLYzZdTVU+kukC9r8r7bCxi2x2Go9F33HEHlZaW0rRp07TH2Zi+5ZZbaMqUKZSTg169oUamBflK/+aL+Kh50d073Ko2C4Zrc5FaGBaMphiH0shk7QK+gfla5GjiKzoWT8GkNSufFfoyBePp32orlyBqJbUFr4njJKM0dkaqnQty8z3H/RnVsg2Y0QWhmX3h6Dir+XK9nJ70yUBOFpmGbiZTwd/i1jUjBEQH/gRHw+EgtLp2WZ+opMNycUx/sB7Bmm114veRg3MiK1LtxQFtTaQ6OEeqnHdaLDKq7epRbVcWp1OoLPDxc3ZrgVFtGE79Xrx4MZ122mnCsOae1J2dnbR161bKzMykJ554wvibgqCRdadWqwpGZE11iNS/ZW0khMqiK1Kt3aRtXGjzjbGOOn0ucjRDV8fiyZlKHVykOpTROqOpzlr6bxCt8LTPNCNUFsKaahao49o5q+aNWhORailYyQLLfD0YjYzJ9mOlBem69DXk5/nK3GgMQqhOCrTJettAysEgsvGXYu2854bHSRKsgzMQ8vsZnaszgjSq1+9oEPckFmocU55LdhnVRjt1+HJAO8U7e007KDVnpOma6uDr2EMhUhasw9kKo7pAGtUGRWWjCdvuMKmpqfTUU0+J9lmff/45VVdXU2FhIR1xxBF0xhlnCCMbhDNSHR6Bj9De8EIUqUZLrbASKKU0YEstWyPV/lPDjBi6wS7kwnGeapFqHfvc29enGURB1VQHkV6t1ROarK/TAwtq8dpPGrJWGHqchi333UhNNe8LC1L29vWL68GsUT240NlmMZhrtS6I4y+Natmv22v6NyLVsRGpDrOTxK5sk4EOX6NGtTnRTsmeGuV6HjU4x1CfeL3IYI4Zx7C/SLVUiU9NNnZv6+rupb3qHFZWpG8O85kh42XeCWaNbkfgy+osTj7uTqGywPdsKepmlQMiErF1RmKRshNPPFH8c+Xbb7+l22+/na6//noqLy+3cxdACFNLIgWtbiRUfaq19O/YPaYxXVNt47gFqnEzsngK9rw2kmoejrHhWliO3vJSLkv1/odSCIyjxtIgM5JCbRRegLMThc8J3kc9Hn490QI2jNlA1iMY47YvqUnie/P+FJisvxxUkB50OQC3l5OaH2YyBWTqq3ejOvTnPrCvNaa39kqhxK5skwEOX4Pfz/V+Y8bYr6xXDEy7BGqDiZR6E4SVKvH96nsaNaqXrq0ShiHrMXB0Pjj1757IT/+2OIuzpa1b3HcSdGYXZbio09vhjIoEQnaHaWlpoddee030p96wYYN47LrrrgvVxwNPobIYTv9GpDq+0AS8TNdU25j+HSDd1cg+BNt/PRyR6jQDWQSyRzUvUoIRaHEeJ2MLB6kazQs1u52OvFjmY2JVGp6MUpvpr83flQ1RM9GjZoPCcv6cLLK1DR8bM/cnLf3by7WGDg3Rh7OMI/LUv+3INrGiVEdeN6xzYCZyW1mnGtX5+rNdQhUp9eZIkSrxbCRycEOPwCFH8e946ntav71eGITM8EHZpg28LKn+3dEtDPRgI/xybrRjjW712limfnO5FutqBELeV0VmQXefuNfGGrbPSGxAP/300/T6668L1e+RI0fS1VdfTccddxwNHTrU0s/p7XWffAcNGkQFBUZ977ELpwjKCza2079D26fa6VWOXUdFJBPpNdX+vNhGVImDPa/DYVjI769HGEUz0IKop2a0VjwGvfHy83MzUmz3oCuLm07LWpuYUf4ekJJtItIiayP1puv7a3/nbOUTXL9Yb5HqcKtFg2DKOHyrf4erptqObBMJGxzO9lHG5mo+HmzU8Xvw9WzUqK7SMk/siVSbnZv9pfzz38Ko1nlffG9JhSbGJjl+X/Odbtx0KTp7gzaGtfRvO2qqLVb/dtZT65v/U5Kd5UZ87cCo1kl3dze9//77wphetmyZSAPnSejf//631qPaSjo6OuiEE04QBntystNYvPDCC+n444+3/POiFVfvYCxHqp0ta1BTHQ9o4iwRWVMdKP1bf6Ta3yJTD+FImTSSim2F8rfreBqNhoRSHd1fD14zaP21TRjVWjaFmUi1VgOfbNjJ4hnVqdf6xQZnVHsVKguzWjSwTnCU00YjYTzTLM42cS2DUOKnxts98jqbr2dRztHRbTilWTqkgnVsBpqbOWWegzx6xA0Dzc9Gy3027Whwe+0t5842XU/NJCc5KMmRILIDeB+CNqptTP8ONtstmHZa3sqNzKbcRzKWjtqePXtEeveLL75INTU1NHHiRPrVr34lDFsWJxsxYgTZwaZNm8RE+8ILLwhlceAdGS1jb5GeVI1YFDixg0i4wcczZtt0aAqrdtZUBxCOMVLX7Vw8mBQqC4O4jxGhMtm7NCsIkbJg2qyEUh1dM/wtilTLY5ebmRqyTA8zLbDSXWtRPdTG5f1JpnGbP9e8RTZjX0sk1vDV/ofTmjkqqDwnfJkHyjXcaWl7Itd5ix1OyUmJppxLbLSwk7LMcCZjr63Xiet48fc0YoD6aqNmVMBz8y7FqD50djkdOKOMhgRhUEt4HuOsHSvmc03925b0b+fa2Iqa5oZmY5Fqt3KjGBUrs3TUzjvvPDFIJ598Mh177LE0fvx4CgUbN26kwYMHw6AOgDyJY31hEa5INdK/w4P0krLX1EhNU0hqqgOk1oalpjqEkWqpYNrd00c9vX1+nXlaO60gI9VppoXrQlfGEYxCuTdkdNaMQRpITM8XfK3JyJbeMWMjQUv/63BXGzcrzjTQOeCtBjf05z6wR9RKGrE8y4czfdSKHsnecO2pbsboKc5LE7XRVfVtNHF4fkRlMrpe//w99X4OG4DaOstjzLWMBh33Rb4H7a5pFb8fM3845VqUti+Naiv6lrfbKlRmrcCekXZaAztAWKOWHmlYGq7Mysqiuro6qqiooJUrV1JzczOFAq6nHjVqlOiDvW3bNpEODgYi2/rEcj21FRE98xFALNjCQa7qJeUbtbd6Sl+YrVuzsobJiKEbbMpwOHr1ul4TgRYcVfVKPV+xgZZQVgqVhdLp4FyQW+P4Y+V0156poWhJpyi4kiFjXqanenN6BOvU0JypqvKx1/dGNlHUoDnHPK4ReZ2yQW1H26dg9y9YtDRnk+dqab5SD12pzqd6aQtBJiNf/2a0QdgYlqJiwUSqeR7Q5qwgnbdWZfv4TP+2YZ0uBfasWh8bTf8OplwvWrB0dfX888/T4sWLRRr27373O/rjH/9Ihx56qGip1dfXR3ZGqjdv3ix6YHP99t69e+nss8+mm266iRwOcwukJBNpN6HCoU548qde2DMlT+pI/n7BItNHeZJ1OBJsFR3i3rqcjqZ8brIlx9Xs+MYrfMy5Bowjnewt1iN0xKlu8nrgKJtd14Os8+TPkp/hOr5yIcDPC7QP8rzmG7fR/XX19Nv5fT1JokQhlsPfn6PV/j5XtnMpK8kMav+kYckGq5H3cc6PwR0fPdevbP/U2e3/mBh1mHLkxej7OY+X8xw1WvtnxDHFz+frtNPjfJDHX8+14A0ZLec1c09fv1vEW577wc7RmJtDh5w7Pc/Lrt4+zZCxeh4zMr4yksj3fyv3o6snuHXaYDWdmZ2UhuY/9XM56GLn/YHHjUs9ROaSzs9xNcD4GnatxZZGGvecDvR+Ha3KucOGfaqFDjZ5LnjOaWaQhjk7Ku0YBz7+7EDpNnD8A5Ud5efov+9kWHzvi7T52VKjmg1aNqL5X2VlJb300kvi31tvvSW2v/LKK3Tqqada3puaDWcWQLvlllsoJSWFVqxYIVLRCwsL6eKLLzb8fnzB5udHfm12To7BiI7qYMjNTouK72eW1PQULT0xIyvN1shcizqpMIMH5ZqqgbJsfOOYotx0YVT3kL5r1zWiPXhQjhAbsYOSok7NYPDcLx5f6ZApKcwKvN/q9cvvlZubYUjkhRcc0tNfWpKjLVhDARttwqmQmuzzO7KTY2+dElmZMLIoqPmppFUZWz62Rt6nP0G5dvNzrJkf/V2/+blKNIlH34rPkovOwSXZht+vqEB5PtsqRl67u17JCMvNTjX0Om6/wlE0R7LD7XU9agSpKD/D1DFhx5FMLeV7QL5LxoPMCBhk4vh4A3Oz/ZQUKvMBL/5dx2xHbZtmXNm1jtEzvryOEiQmWrofjuRGzYlq5n3HDlc63myvaqG8vAzdQQXncTX3uXrh9+duBY7kJN2f06EGVdlRVliY5bYtT3Wi9+sYhxo1ssoGq5XfkedAJtER/LnQoToXBxXrWBOYgJ3GbFQn+7kf64UNY6a0WP+8mq9eW/0J9tlZ4ZyfbbM2uJ3V5ZdfTpdddhl9/fXXInr9yCOP0AMPPEBTp06lI488ks455xxKSzOn9OnKQw895Pb3tGnTRHT8zTffNGVU8wKvqUmZYCIR9sLwSdPU1E69qtdWDzV1Si1JiiOB6uuV32MRNqb5NsJrtD2VTZa2u/CkRm1BkexIpJZmY+lWVo9vPJOdoUxlO/c00uhS95uuP7VkVu1sUfvj2kG3WjfEnnl5zbmOb2u7cpPv6XJu94WM5HH62t6qJkNpsq4ibh1tndTVYUzULRhkW5eq6mYqzEz2eR2x4c9GUUpif1Dzk3bM27sNvU9Dk3L9JvQH9/m6rl81c6uhqcOSubhJXSz29/Qafz91Hxuaje3LrsomLepu5HWcgshU1ba6va5RFb3p6+0zfUw4Ys7jvqeqmRLVY+wqwNTdYeyc8ARzc+jo7lKu45Y29zGrrm3V7rlWr2OMjG9iguIFqm9ot3Q/5Dot2eQ6bXA+BxIcYk79duVuGjs0T9frKqtbxM+0ZOuPqyv8vZjqOvfr3x97q5u0e4nna3i+ZhoaA4+DPHd4nrDyOyapDu6a+jZT78t13nVNHTRlVGFwc7kOUpPV+bemhYqzgxMFlesXvlb17qtDjTvVNpg7VuFYO/N76o1+215cx16yhQsXin/19fX02muviej1X//6VzrssMNo+PDhQb1/V1eXSP3m98nIcPbWy8/Pp5YWZZIwQ48aQYpk+KQxsp98c5K1SNHw/YKB6yJ5IdXa1k1ZNtaQy4inHcfU6PjGM9LA5LRSPcdMZhhwFoOdx5gXfrLOs7u71y1qwOMr68p4oRFoP/idZA9Svpble+tBfl8+T9nI4H+hHhveZ1/fcae6oCvJT6f+Pk7f7Qv+mHf1CkNdb92l1h0hKdGSc8Lf9ct1izLVL9jP4hIUGanmxbTR95NOD04hN/JaaQTz/GrkdTJzqLWty+11UiE/mOPPIkZsVPP53tOTPkAkUM91pgfMzfaTol3H7tcI39PNnutWjm+Kmt3E55eV+6GtKZLNfT9HQgLNHFtEX6+upG/WVNLIwTmGlPx5vrbznijF5Xgc9X6Oc8wH7puR+UveBzMs/o5pch/ajc2hcv6++cGvxe+/PW+25jxn/Qc7xiGYffVErl/4WtX7XmnJxsc/mubnkCaes6F7/vnn0xtvvEHPPfccFRQoaSrBcuaZZwpD3ZWvvvqKZsyYYcn7xwp2qgpGGnLhZrWIiC+xq1D2/gXBK2M722k5QnIeckoq15C5wsYxtxUSz9NxTbqKvBgVuHKK34T+PJVqrf6ESfaoqYeDC4NPB3P9jvL4GlPdja6WWq2qSJlrrbYRMnz0A9bfTsuY01Jec57ng7wmg7k/Odsw9Q4YV86CiOVWkrGGppDf2SvmykCtlUKNEdVpc91EzM/Vs8aViJ/fra8eINoX7u4wZtZmmnq/l/uXERV2u9pVmRV7ZNZW1Gu//7ipRpur7FqbmO2O4VWXRhsXY5oaDITKLMYqg5drqH/+85/TPffcIyLVQ4cOFQY2966+4447LPmMWMHOpvLx2qs6lL1tgXU3tVD1bHZdBLDR4lq77WrwebYJ8QXfaPk7RnIPZt8t7nzv8946xaguLXBmG5mFI50yos+fqddI7gih48G5IO+1LLLF87ojMdHyXuq+aNbaaaVYcq061ekdwR9Xl/d2VRW3U7QSWIs8Dzx7mmsO0TB32zDaH1kvVtybpowqEPNgbVMHba9soeGl2QFfo2W72Lw+9NUqTc8x8TaXaw51Hfd+u9bA0kiXrQ2NsGFHo8vvDVrNt11zlZnj7w3X1xtxAKTDqI58rrzySpH+/fbbb4uWXmPHjqUXX3yRRowYEe5diyi0xYVNPQjjMVLtz4MKQoe3xbQ/fPW8tBoWE+N0N14U8rnIKuUSua9GImjKed1pvAdzGM/TNB0Oj71apDp4o1pG9BXnA3+mPk0FOVfYvai0ekHeEkSPavdrx9i+yHIio58rF7Sen9dhwYLXaXj1hDwrBViLL+dYxESqtdadFrfU0s5X89+PU6K5Pvf7DdW0bH2VLqPaigi5sWySHuPtDoOMVLfaFKnOUR2LXH5mlEa11zOzbnuDqewfc/ee4M5bsxlAGT5aKsYKMWFd8SLq+OOPF/+AjtSXOIhUB+oPbLlXOQ6OaSTj7FGrb7y1qFhIDCjFqPbcN9fInF6vtNle1aFMbfZEzjf+FlFWRqpdI/pGDEUtGhKCxbozk8aK9G9lIWdW0V2eE1zLJ9rc6FwgmU3/dhrVzu/OnyuV8IO5Jr3NA6EcV2AdPCfydcyGkKtzTCtlCbOTxCrjxBPn+Rrc95s7sUQY1Z+v2EPHLRxB2/Y2i/pqXx1KQtXL3czaTHN4etk3Z79wPenfzqweK5HOctliygiNLiKiErMOUjvXEP4c9Uai6unSye6idRFL4C4TR8RX+rdxb6gZEKmODIymFIVy3HiR0khdAxZfzshAkvEMDIPndShTm31GD33sMz9er4pelVoQqXYutDoNLXhDFalRPsO6TJrgI9VJbscgK12fUd2i1nIb/Vxv54PZVEI90cNQpbUC6+H5io1qV+dYOB2EoXDcW+XwnTWumPKyUqihpYsu/9tnIuI/f9Iguvj4ybZFyO3KIvSnXSPvaXruiZqukMXitdKx2OzFQDZlVBssqTGC2TWEJ2avwwyLarojFah2xBHxlP5tVd1IICLlBh/vBDLcjNRoWY120+/yFalOsv28dqbPJUWcUFllvRKlzslIpkyLFjvOhZa+48RiPk4xt9CdE13dfUL9NRha1OhLVrq5/ebItFQjN1JX3aa2LjM6Zt4cYPJ33g8zdeEDo1YDDfZw1+CCIMTKXMczjA5CO4wTu4xbvq4P2adc/C6F3pasqaRXPtsSoJbb5vRv6YzotCZSrUezw26hMhmpZp0Jo501XNtdau9nY/q32XIfT8xehxlpsS1UBqM6join9O9Qq3+H+wYf7xitb3MutEOg9Owj/VmLlhuIzJlNOXRGP8IXqfa16KmqV/pDl1iU+i0+0+Bx4tRjufAMxbXsujg0olDuL1JtNv3bX52zHQtU6dSVasNWpmg754Fer0JlILrw5hyT9/Rwp/NblUbribNmPPh56OBZ5TS6LIc4O1dmlLy/bAd1e2k3pB1X24XKjN/D/GUROR3NPQGVzu0yqmWkmj9ezsd64HuONKrHlOdqj5fkKe0Ao6Gm2mhGRbr6fHYoe3ZEiQVgVMcJfPHKSTMujGqLvHGBiJQbfLzjqQyrX5QqFAaU98WXGUPC7HkdzvM0UGq+XFTkZekTFNODEfEa8Tx13xJc+qjaCdc1ytrlYOcoWVMdTB2e0fIJvp9o5UQGF6jeWqpYZfh6i2yGUj8B2G+A+ROtCs++ubf8ChYt1dmCuZqvp1+fsw/de80B9I+r96PczBThxNuws8HP59otVGa884E/RXT5GA8BG2rhKIHk7Bo5/xqpq2YDnNttMpOG52uPW+lgtiuL02ybznSXNVcspoDDqI4TeCKV8348eOw9lULtIlJu8PGO0TodM6nXVmdNOFPaDLSjMOllDmW9sN5IvUQuQqxMeTPai1O7jlMdQnE4mvrcmq1t9mro6hSP4QW4vJ8Y7Y3t7VqVC7Rgz09n/2/XGlykf0crTidJb8Q5SVzn7WCzTex0+LKIFDu+eF6bNEIx3DbvavTzuXYLlVmr/s0lI3LKDjSXtkqhMhtKIM3UVTe1dGlzt6tC+6D8yI9Um3XUOxITNcd1LKaAw6iOE+SNKMmR4FP9MZYIVZ/qSLnBxzvy+HNam56UolAutDVBmwEthIwbEmYj1aHqy22m3r2pVVnouLYbC3Wk2l/Nnl0Y3ceA4jvBqGYbbHMi66k52u7ae13XZ7kYSrL+0KrUU2+OCszR0Ys3EapwOghd4XUUtxNy3Scr0BxMNsxFQ0sUw21ndavvz7VdqMx4pNrf/Ky0UNRXV22XUBnDWQBMo4FItRQpy81KofLiLO3xYhvTvy2rqQ4ioJQRw2JlsATiBBmB4AnTrqbykYTZiJ5RzCg4A+vxTCnKDqCeGVqhskCR6qSQRarDo/4tvdK9flszyV6flnymQU0Fs6lswaCNpUUqrME49rylZOu5nxiNUg9UG+8RC1yr2vlokU3XKLh67sdD2VOs4ZpiLYmUPtWKMSfVyXsoPzv48hV2CEunsB2lSWXFmeLnruoWt8e5FtmqVl5mSjQCEcgBzY/zGPgz0tiBJ+d5O+YCueZoVp3Eemhs7dQMcjakLzpukjjnjfR9DltNdRBrqIzUJNHxIxbbasV+yBLEXTsts95QM4RKMRPoSClKNtBaw4RImNWtV8wYcmajm+GIxHpL9/MmJCNrqgM5QuxUmA2lk8VMf1V9kS3z57LRyEEwgj+u9eTyvmRVTbU3wTXM0bFwH+9xMf4iJ51fb4RUL65OLTsi1WVFilFdWdfu1nWAe9TLmdnurDsznQ8COVL0jIOrg9WO9G8zvaob1fTv3EzFIbNgcinNGFtEdqJluwV5zgbjqE83mBkVTcCojhPkZB0vEVVvtVh2EEoVaWBdanQ4aqo9I5JmUrLNePkjpaa638f1KBchMn3Oks806I0PR92tkf6q/rAicqcJlemMHHB0LpjFaYbMXlDfR3MwBXl+Op1O1ouggdDjWX/rZvxFwD3XaaBYYxzI78k1p4lqarmVsBgkvysLq7W0OSOq8vrjuusUm8sDXddKemvRA2kuaOJbfuZSOdekJDtsiQRLTRBvLbL0pH+HCnn8O4MU2AvGUZ9h8H4TTcCojhNk+xI7PHSRiFUL1kCYEZsC9mAk2hZKI8pXdNlZR2pEqCz6aqp5kSbFvzyPAUcq6putX1g4HSw6079DJNJjtr+q3VkXRvu8S8Efs33FPT/PKnV65/uykJqs146cyCYIrm2VnPd4OpG91cOJs4TDGue9nenJDBvqWarxJw06VycU34vsLg9UMlUSdN/HRHaCFhVN0t2f3hNpwGWl23Nss2WvahdnhW6j2kKHcqgE9sxowpgtN4omwj8rgZAQb+nfVi1YjagGg/BixDBwLiLCV1PtvCkl2d5/PZyRal6kOeuqewb0qOYaQk7dL8xNC1taplU1vUbQE10JBEca5MIomH2Xzla9RrWsg882qTgue2pL5XKrosnyGPBxke11IFQWO85x16yMSNCG8ZYZEQxyfrTTSZ/jxfhzliKFZv4zUtfb1dOnRVR9HRc9ZVHyHJJzj9XkquVLrs6KQNQ2doifVtTjmxHYCyboFEyGVDrSv0G0E2/p364LVm91nFbAxgCrTUdKKlq8I8c8kPdTUQj3f5O2dL981Peaaqnloz7bH3z+h3rRpNfhIVVohxRlWtrKSovo6+1THQYhNz3RlUC4RhqCcZjI8ZER6EDIBbnZOvh8tSd5Q0tn0FGPQO11QulAA/YKlUWK8rfZ1n2B6AhB8EMKQrqmKZvJmgqV5o0cc76sZSsm3630/ESqpVFtg/K3e6Rav1Fd3dBuu9q3L4G9YINOWgZQMJHqDkSqQZTibCUQHwsLaTz0q3VYduA6ISH9O3qyE1yNmJDWVHuqf5swdNNM1EPp8fTbja/epFKFVqrShkvhNBzRTEsWNup+c+QhmDpB2eNa1krrjlRnmlugyshMXXOHpU5fkRXhssDuizBhK2DSGSeN6jBklOhy3lssVGanA8iboFZHiOc/I/OzW525D8ernrlU61hgU6Raq6nWaVTzPVxGtUts7EttZcabVSVlGTHcUgvp33HYUisecI1Y2JUCLicVrhm1swUCMCi2FGCilucDpxzbIQYzcL+810F3BBGpNlIPpcfTH66xkYuKwpw0iz/PoPp3GCJgeqIruuupU4KrhZRGdUu7wUh1uslIdY5iVHNbFavV112zOfgaka6neLn3xRKasaTV3oevNaBdxkmonXvZXow/O3tjBzs/62lb6myl1xu2SLV0VnDZiR5nQXVju2Zg2rVPVma8eRLMtZiOmmoQM5HqOFlYKCku9nrDIu0GH+/oral2euVDlermjKC7liKYqSNl543Reig9nv5wRXSkcSaNOqvQIvrdvaI/aSTWVHuKMJnBqp69po1qdYFuNlJd39RpqVCZZ0quaySfawlBdHfxsKIne6QZJ644e6rbd2+SpReynjc86d/612bOTh0OHfcXf0Jl3bZGqtlJL5XTm3SIlXFbs1CnfgfqSGKEYK7FDNRUg2gn3mqq7bjheRJpN/h4R69RHcp2WsrnOJziSWoNfm9vnyakZMQpY6YeSo+n326kMIlnDZWWRmzSOPP5eS6LQz3HKRw11VZEqq2qRZZGNesN6CmXkVEuGZ0xSkF2mlukOlDLHLMK4FZF8kF4kNejdI45S2Yiw5FthXES6nvTsNJs8XPL7qaw9XI3sjbT07rJqU+hI1Jtk1HN84vUmGjWIVZmV+lTKBy63LVDrl/MlNVkoKYaRDtyMRsvNdV23PA8ibQbfLyjt74t1C12OEIsl/Naaxi3evwkW1MO9Xj6w2VAysioWcErPRF9Pal4YamptiIFz6L95nNDHq/WANFqNm6CdYZokeqWTlVIz8L0b5d6TSvTykHocc1cEONpYUZDpFzDoc4oHFmaI+5HNY0dWvlNoJZV9gmVGWh/6cfh5mw12RM29W+3enUdRvXOGkWks7w4i0JNsFmcrqVnptS/U9FSC0Q58Zb+bYeIiCeRdoOPd5x1VYFqqkO70OaUa1nLLPdNpqKx8Wc0LdVoBkaoF0z+BYd6LE0j1hPRN6Iwmx5lkeoW9TzKCrImj4+XjFYH6rNa08ht0PrFuSsjzkbJU1NQOTLO0epeNUXfyppqkf4N5e+oxrWnMV+j4cgoMdLyK1isdC75ggMrxaow1m7VsHMqOYdaqEzH3Kwjeq/n/TShMhsDS1KsrLFNf6S6PAyRaqPdMXwFlPjaNFNWk4H0bxDtxGP6txFvqBki7QYf7+g1omTKbEhTfT1qA4OJHhvNwDDTustqXA0d14hnq02RauUz9R+ncBhfnvWiZpDHLzM9+P3W6qoDtNXaXdsmfpYWZJgW+uOFmFyA7q5ttVRIzzUK4xRgwhwdrbiPZ2SVXGmOMcsi1eq9yebaZikM2eApFBiy9G/9c7Meh6fT0RzeSLXMwJHH1RfdPb1aTXVZGCPVZvurB6vlke4Sqbar5W24gHJHnBBvLbWsWrT6A6mFkYXeG4WeGi27Ixrtmhq/CaPah5p4RNdUe1Fn5dRveTu1I3pgpPZcc7SE8BjpSVkMhGyBZYV6rDNS7T/Kslc1qocUZQT1eflqlHu32qucz2srhPQ0B05Xb8QZYSC46zji+lRbnA0XqoxCz5Z2ch4JXaTa4ppqHZFqba600aguUJ0VtU1OEThv7KltExorfN/Ly7LeoWx1dwyrRXoz1POM7Wm71ufhAkZ1HMApdvwv/tK/Q6T+HUfHNJLRe6OwStzJCJ43fZk5YqoeyaCXOdRRCL01VNJ444WFHS3pXFWg/cERcynOFcpovhx7Tn2W87P5SHXwC0XPNle+qG5QIiwl+cEa1alukWqrnFza9dGJmupYwLV0JNQik1ZGXPUQqowZTdNAvdZlDbBZ4UG7REXdHZ4OHY5m3+8n7ze5mcp3t4MCdQ6tU7sa+GKnJlKWFRYBxaAj1UFmviYnGe9iEi3AqI4D5EmbEGcGoNVe5EgUgALGjc2wpPp6lCJokWpT6d/G6qHCEZnX4+DS2mnZkPpt5Pp33R7SllouY2+2RMUZqU6yLCW0rtH/glCKG+UHGWEpzFU+b8vuZkuzqOT7NLd3h1yUENjZq9olUh0h42l1NlwoaqqZAk+jOkg1/9BEqh2BWyh29YoIsCecYizvN3nqd7cDbQ4NEKneWyezfUJfT20m283q0seEhARtnvbsCBLtwKiOA7SomEXpddEnXGWXUFlk3eDjnWiqqZZCZWacXM730hupDk2dnt6U3IHK38k21zvqE64zK7piFq5H5t6mYh9Meuu1SLUF6d96UxcbWzstWYAPK8lyi9pkWmRIyO/B0aJQGSkgNJFqq/qy29XyK1hCdb7K0gs2qhWDUzWqbXJwBtPBQk/5klyD9XsoU7s6H6UYYq6N6dbOOVQ5rr6oaVDm2OI8c0KPwWI0282O8zQjRhXAYVTHUzutOFtYpNsuVBZZN/h4RxqonErb09sXUZFbTYlevYFIg9JMdM41chM9QmXeItVqWyabatycxymy+pZb2ZLHWSdoRaRapi76N6plqmiwaZTD1X65kgwLHAOe0SLUVMdopDpCaqrdW34F57znCKuzNCl06d98jbCaP5OTaV+9sdl7mLN8yfcxYWeoDBh5Gwd5r+E1cHKSw/bjyusPOTd7g9uZMUW5igp7qDGa7WaHSG8GItUgWolXb73dF602sUTIDT7ecZ3g/S1wwrEw86wplkZ1ZqrxRYzRPtWRJFTmLf3btki1ztTMYEVXwqn70NoR2kg1R19k+newC3BOfXTNnLIq/VvWNfJ+ynMM2UTRi+t8F4wWhR241oaajfpJOMIqY5t2n69SP4EdZHVqCjjfD+00OM1mW7XpyLTidGJ/CuChqhlnbRAp+NjQ0um3LSFTpJbAhBq990Y7AxOZ6j1L3sNiBUSq4wB5I4q3SHVWujKBNrcH7hkYlLMiQm7w8Y5rz2d/0Uk9fS+tJks1HKXHvEV6zk0YErJ+trXdmFBZJESqXbMInEZ1SpjLAcLndPSWFq8X17RNKxwTsnc0R1h8ZXrwIqyru8+SBSpfr3nZzvew6v7Ei1o5D/ywqSYuHcqxKkDZInUYbFRwtlN0yx/y9Wyk212GwtlBXO7CRvyOyhZb5+Fg+yQ757gUna3XBr5nk3rehKJmXKaXN7Z4X3fyPbBB3SZ1JaKtv7oVgYlM9RqWJUyxQswY1V988QWdf/75dNRRR9GNN95Ie/fuDfcuRWA7rci5EYUCudCUi3erQaQ68pA3a391OuE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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plot_res_pwr()" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "cell-16", + "metadata": {}, + "outputs": [], + "source": [ + "def plot_res_energy():\n", + " \"\"\"Plot reversible energy storage energies\"\"\"\n", + " fig, ax = plt.subplots(3, 1, sharex=True, figsize=(10, 8))\n", + " plt.suptitle(\"Battery Energy\")\n", + "\n", + " ax[0].plot(\n", + " df[\"cyc.time_seconds\"],\n", + " df[\"veh.pt_type.HEV.res.history.energy_out_electrical_joules\"] / 1e6,\n", + " label=\"electrical out\",\n", + " )\n", + " ax[0].plot(\n", + " df[\"cyc.time_seconds\"],\n", + " df[\"veh.pt_type.HEV.res.history.energy_out_chemical_joules\"] / 1e6,\n", + " label=\"chemical out\",\n", + " )\n", + " ax[0].set_ylabel(\"RES Energy [MJ]\")\n", + " ax[0].legend()\n", + "\n", + " ax[1].plot(df[\"cyc.time_seconds\"], df[\"veh.pt_type.HEV.res.history.soc\"], label=\"soc\")\n", + " ax[1].plot(\n", + " df[\"cyc.time_seconds\"],\n", + " df[\"veh.pt_type.HEV.res.history.soc_disch_buffer\"],\n", + " label=\"accel buffer\",\n", + " alpha=0.5,\n", + " )\n", + " ax[1].plot(\n", + " df[\"cyc.time_seconds\"],\n", + " df[\"veh.pt_type.HEV.res.history.soc_regen_buffer\"],\n", + " label=\"regen buffer\",\n", + " alpha=0.5,\n", + " )\n", + " ax[1].set_ylabel(\"SOC [-]\")\n", + " ax[1].legend(loc=\"center right\")\n", + "\n", + " ax[2].plot(\n", + " df[\"cyc.time_seconds\"],\n", + " df[\"veh.history.speed_ach_meters_per_second\"],\n", + " )\n", + " ax[2].set_xlabel(\"Time [s]\")\n", + " ax[2].set_ylabel(\"Ach Speed [m/s]\")\n", + "\n", + " plt.tight_layout()\n", + " if SAVE_FIGS:\n", + " plt.savefig(Path(\"./plots/battery_energy.svg\"))\n", + " if SHOW_PLOTS:\n", + " plt.show()\n", + "\n", + " return fig, ax" + ] + }, + { + "cell_type": "markdown", + "id": "cell-17", + "metadata": {}, + "source": [ + "Cumulative battery electrical and chemical output energy, with state of\n", + "charge and SOC buffers." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "cell-18", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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O72i2K8AoNk3A2O02VFeXicdxcUndQ2STcRlFprdu3YqysjKRCp6amup5nYQ3CWq9Xu9JDf/hhx+wa9culJaWip7Zffv27cBvwDCdE9uKT4TAJtxVRXBVFXm99jG0yX2g7zmoVZ/hzNkBy09PAzojzLOvhz6TW+kxDMMwDNN+SJLLI7Cjo2PFcySyucwyfNEHuX9p4oUgoR0Tk9Dq1PEuIbIJCts31ueaRDT9eUPO461p2cUw3SGK7Ty4Ttw3HXMl3NYqaCMToI1LhX3zT3AeWg/bknegO+chaLS6Fn+OY/sfgOQCJAusS99H1IVPhSQNh2EYhmEYJhBcLpePkGIYf6jHh8vlhFZr7B4im2GY0OIq3A+4JWgTM2AceqzPaxHHXoXq3J2QyvMgFR6AroXRbFdpNpxHNnkeu6tLIJVlQ5eY2er1ZxiGYRiGCQae5Gfa6/jouA7dDMN0KFLxEXGrTe7X4DWNKQr6XsPFfWfO9hZ/hn3DfBHF1mWOFn9ieUe2tHh5DMMwDMMwDNPZYZHNMN0UV/EhcatN6g2r3dngdV2mXG7hPLBWdiAPErfkhDNrq7hvGj8P+t6yyHZlschmGIZhGIZpC2666Qa8995bIVmW0+nE4sV/NfmeO+64BW+88UqnW/eWfJdQwuniDNMNIbdvV84Ocf/ddQ6sWbgEqYmRSI6LQEFpLSS3G/MmZWCc3gipLAeugr3Q9xwc1GdIRYcAhwUaUzS0PfpDY46DDR/Blb9XfD63DGMYhmEYhgkt1dVVoj90KPjww3exbNkSHHvscY2+57//fRA6Xcu9e9pq3VvyXUIJR7IZphti3/EX4HKgUpeANQWyyQOJ6+0HS1FcYUVppQ3v/3EYlrTx4jXHtt/FrdstQaosgtvVMPLtrx6b0CT3xaJNuVh9xAVNVKKoA3cVH27T78cwDMMwDMO0DofD0ex7oqOjRQvlcPguoYQj2QzTzaAosn3Dd+L+j5XDSAbjshOHoLLGjoRoE1ISzPh59RFs3l+CL3MycJlIGV8D62ITnHl74K4sgDY+HZHz7oImIrrRz6EIOJFlj8WHv+4R9/+T2QPpKIVUdABIH9pO35hhGIZhGCZ8WLhwPr799iuUlpagd+8+uPTSKzFhwlEteu+CBd9h/vxvUFJSgrS0dFx00WWYNm0GPvvsI3z++ccizfqUU2bhnXc+xuOPP4zBg4dg8+aNKCsrxR133CPe17//QPz97zc0uTyioqIc7777JrZv34aiokJERUVhypRpuO66G0VnqKag0sWFC7/HggXfo7CwAL16ZeDiiy/H0UdP86Sajxs3HldccY3nf+i5iROPEsuu/11SU3uiLWGRzTDdDNG2y2mH3dwDK0sHIDMlGjPH9vJ5T1pyFO54bSXWF0finEmzEbnvdzh2L/W8LpXnwrZxASKOvrBZkb2luK4FwsaSaKRHAC5KJWcYhmEYhulASLjZHYH3Ug41RoM2aEfr+fO/xVtvvYb/+787MWjQEKxbtwb/+c/NeOyxZzBx4qSg3vvJJx/igw/exv/9310YOnS4EM/33PMfvPDC6zjzzHNQVFSE9evX4rnnXkFsbKxI5yZR/cQTzyEiIkIss7q62pPi3dTyRo4chXvvvUuklt91131CYNP6PPbY/4T4P/30s5r83lT3/f333+C22+7EkCFDsXTpIlEP/vDDT2D69GP9ppqrz5133oUNvktbwyKbYboJ1hUfw11VDFdZrnh8OHqkiGL37RnT4L2xkUYM65OAjXuLsd40Gccm7IBUlitM0ozjToP195fh2LUYpgmnQ2OMbPD/bqcNroJ94v7W8igY9PQjAhxxxAMRgFSa1Q7fmGEYhmEYpnGB/ehHG7Avp6LDNtHAjDjcefH4gIU2rTOJzWuv/QdmzJgpnjv11NOxb98eYRjmLbKbey9Fs0kwX3zxFZg1a654naLD9F6j0QCTKQImk0mI4vj4eM9yJ0yYhEmTpvhdt6aWRzz44COIjIzyRK1PPvk0fP75J8jPz0NTkFCmSPQ//3kLjj9+tnjuggsuwYED+/HOO28Kkd0UjX2XtoRFNsN0A6SKfDi2/Vb3hMGM5bYhAGrRx4/IJob3TZRF9r5ynHThf+HYvwb6PmOFgZk2IV2IbseuJTCOPrHB/wpXcacdFYhBjisR587sh/zSWmzaWuNZH7fTDo2+LsrNMAzDMAzTroSuLXK7QCnW5eVlePnl5/Daay96nrfb7UJEBvPe4uIikUI+YgQFXeqIifE/LlRJT/fNflQJZHlxcfHYu3c3Nm3aiOzsI0IkHz58EFOmTG3yMw8dOiDWe/TosT7P0+NffvmxRV1w2hoW2QzTDXAcWOvzWDP5Imz5QU6pGZLpf0bvqKEp+OyPvTiYV4UjpS70GSbPghKGkXNhW/oe7Nt+g2HkHGi0vq6SzgPrxO06S6b4BZs6sif2Zldg6ZZc1CACUW6rSCfX9WjYo5thGIZhGKatoegxRZG7Urq4zWYTt/fe+xCGD/cVs/UX09x7HQ7ZxFavD04O1hfzdcvUNru8Z555HD/+uECIako1nzp1hpgEaA51mfWX3ZyruSS50FGwyGaYboArd5e4NYw+Ecahx+LbzbVwSYeR0SMKvXr4Ny+LjTJiwpAeWLOzEIs25eDyE+uMygyDpsK+5iu4q0vg2LkIhmHHQaOVL64UoXYe2STub7b3QUaPaMRFm0RknH5Ish3xGGLIh1SSxSKbYRiGYZgOg8YlJmNo2k+1B2QkZjQasX//PkydOr3V76XU7YMHDzSIEKsEMwGQnJzc5PKKi4vwzTdf4oEHHsWsWXPEcy6XC6Wlpc1GojMyegtBvXv3LvTp09fzPD3OzOwj1pNS0NWJBRWqw27JdwkF3MKLYcIct+Ty1EcbBk9DjTFJuIcT86Y1HUlWDdGWbs7Doo05ePnbrbjx2SV49Yc90A2WnSJtyz+EbdWnnv9xZW8HHFZYDbE47EpGZkqUeD4yQo/05CjkuhLk93FdNsMwDMMwTMBQJPeccy7Ap59+iE2bNojnqJ753/++AY8++mDQ7z3nnPPx0Ufv49Chg+JxTk42Lr30PPz880LxmMzNyDyMXLnprzmaWp5OpxdCOStLbuNKhmlPPvmISGm3233FcX2oRRgZo7311qs4cGCfEOUrVy7HggXf4pxzzhPvITO0lSuXCddzWte3335DuJmrBPtdWgtHshkmzBFRZacNMEVBE5+OVRty4ZLcohZ74tCUJv93SO94HD0iFSu3F+CDX3Z7nl+3qxCjEvpDnaekem/jiFnQxvWEY+9y8dwhwyCRKk7CWqVfz1jk7pZFtvPwRjj7TYQ+jWrDGYZhGIZhmOa45prr4HQ6cPvtN4tbrVaLmTNnCVOwYN9L7a5qaqrxt79Rw1YNTCYjzjrrPJxwwsnidTIt++KLTzFnzgw8//yrza5bU8vTaDS49dY78NprL+Gjj94TUW8yMTvxxFOwZ0/dGLMx/vGPmyBJEq699koRAaf67htu+BfOOOMc8Tq1JqMo+hlnnCQE9XHHzfIxRKv/XRqL3ocKjbszVop3MlwuCaWlsmFTZ0Sv1yIhIQplZTVwOjuuroTpnPu3dv4jcOXvwQbjRHxXNRa1NiccTgkXzxmMWRMymv3/GqtDtPOqsTqRFGvC6AHJ+GtjDhJiTHhoQjacW34S79PEJMN8/HWonf8wWUziTZyLbaVm/Ovs0Rg7KFm8588N2fjp9/W4O/576CABWj2iLngC2uhEdFf4/A1veP+GL7xvwxvev+GFw2FHSUkekpLSYDAYPfu4K4+bSXBaLLWIivIt+6MIMUWxSWg2914VEq02m1UI36Ze87dseo4i1BRtDmR5hNVq9SyDUrzpvbGxcX6XXx952TZERkY2umx5GUZUVlZBq9V5ltfcevk7TrxJTIyCThdYIjinizNMGCNZKuHK3yvuzy/sjYoauxDY8dFGzBidFtAyoiIM+O/lEzF7YgZuPGs0Lpg1SNRrl1XZsDVuJqIufhaamB6iPVjt9w8Jge3oOUoIbJ1Wg8GZcZ5lUX12iRSDl53nQpvcF5CcohUYwzAMwzAMEzgUlfYnmqOjoxuI1Mbeq0IiuTHh6f2av2XTc94Cu7nlEd7LICM1EtiNLb8+8rIjm1y2apBG6+C9vObWK5SwyGaYMMaVs52qslFpSkWZFO1xsrx23ggYDYEbfaQmROKi2YNFijn1vD5unFyr/fu6bGijEmCedT2gkZeniUrE6uhZ4v7IfomIjJB7Iaoim9hfaYJ70DHyOubJpmwMwzAMwzAMEw5wTTbDhDFSaY64PeToIW6vOnkYJg9PFUK5Ncwcm44fVhzCvpwKHMyrRL+0/og87Q7R/1rfdzyWf7hNvK9+zTeZnyXFRqCk0ooCTQroVVfJEWFg0d6ujwzDMAzDMAzTFnAkm2HCGOpFTeyrltNqhvaJb7XAJqgl11HDZAH9v/fXYc3OAuh6DoJhyAzkVgG5xTUiVXycUovtDbUNIw5bogHqr223wHlofavXiWEYhmEYhmE6AyyyGSaMcSkiO8cZjx7xESKKHCqmjayr6X7t++1wumTzkLU7C/ymiqtkpMgp41klVuh6Dhb3rb+9BNvqL0K2bgzDMAzDMAzTUbDIZpgwxe20w11ZJO4XuOJw0uQ+IU3Jpqh4amKd8cRbP+yA3eHCok254vHkEal+/0+ty6Y2YFtST4Mubah4bN/8I1zl8v8yDMMwDMMwTFeFRTbDhClSeZ4wPauWTLBozaIWO5TotFo8fM1kXH/GSJEavmZnIW54Zgkqa+yi1dfEIf57cA/tHY/YSINoCfbGH/momPpP6HrLvQrtq7+E22EL6XoyDMMwDMMwTHvCIpthwrweO98Vh8GZCTCbQu9zqNVqcNTQFJx97AD5M91ucXvxnCHQN9JHkOq5H79+Kkb0k3tjL9mcC9PYU4Q7ufPwRtR8QQZqcso5wzAMwzAMw3Q1WGQzTJgilWaL23xXPHqnxrTpZ82dlIlZEzJElPqGM0ZirB/DM29MBh2mjewp7pNDOZmmmU+8CZroJLhrymDfvLBN15dhGIZhGIZh2goW2QwTprjy94rbLGcSeiXLjt5thVajwcVzBuP2i8Y3aNvVGKrwzy6sERFwfeZoRMy8RjznOLBW1JQzDMMwDMMwTFeDRTbDhCFupw2uogPi/j5nKnopbbM6E6mJZtFOzOZwYcmmXNErW5c2RESzRVuvI5s6ehUZhmEYhmG6FLfe+i+89tpL7fqZt9/+75B95j//eS3eeecNtAUOhwN//fU72gMW2QwTrqnikguVUgRKpBikJXU+kU3GacP7JIj7H/yyG+//vBsajRaGgUeL55x7V3bwGjIMwzAMw3QtamtrYLO1r4ns/fc/giuvlLMRW0ttbW2brf+HH76Ljz56H+0Bi2yGCUOkMrkVVp4rHsnxZlED3Rm5+tThnvRyMkDLKqyGfuBk8diZvRVuu6WD15BhGIZhGIZpisjISJhMEZ1+Izmdznb7rNDbDTMM0+G4FJFN/bF7pcp9qTsj0WaDMEp7+dutWL+7CF/+tQ/XnT4CmtgUuCsL4crfA33vMR29mgzDMAzDMJ2G7777CvPnf4uSkmKkpfXCRRddhmOOmel5vbq6Ck899SjWrFkFjUaDk08+DZdffrXndfrfb7/9EqWlpejduw8uu+xKHHXUFE+6+VFHTcL+/fuwZs1KxMTE4aqr/o64uDiREl5UVIhRo8bg//7vTsTGxnnSxfv3H4jrrrux2fUrKyvD22+/jh07tollRUVFYcqUafjHP26CwWBo8ntLkiSW+8MP36OwsAC9evXCJZdciWnTZnhSzceNmyDWV4WemzhxEgwGIz777CO4XC6ceOJMvPfeZ+jZUzbh7daR7P379+PBBx/EP/7xD7z66qsilaApCgsL8dRTT4n3P/rooygo4JZATPdBKs/1OIt3xnrs+pw8pY9o+bXtYCnuenM17HG9xfOu4sMdvWoMwzAMw4Qp5Afjdtg67k9pfRoMH3/8Pl577WVcdtlVeP3193Hmmefg/vvvwrZtWzzv+fnnhejduy9eeeUtITjfeus1LFmyyCOA3377Nfztbzfgrbc+EAL8zjtvw9q1qzzp5m+88YoQ0m+//RHGj5+Ahx66D6+88gJuvfUOPPnk89i5czvef/9tvyneza3ffffdifz8XNx//8N4771PcOWVfxOCf+HC+c1+99dffxlvvfUqLr30Srzxxvs4/vi5uPvu/8PixX81WI/663bOOefj7LPPR//+A/DllwuQkhKYUW9YR7L37duH88+nDXM2TjjhBLz//vtYvHgxPvnkE2i1DecJ8vLycO6552LcuHE47bTT8NNPP+Gss87CggULkJgo9+ZlmO6QLk6R7EmZ8ejs9EuLxS3njcF7P+9CYZkFOyujMZq+R8mRjl41hmEYhmHCEBK4tfMfhlSwr8PWQZc6COZ5d4locyBQJPezzz7GJZdcjpkzZ4nnevY8GTNmHAu9vi4KPGnS0TjvvAvF/RNOOBmffvoRtm/fKt735puv4vrr/4WpU6eL10866VTs2bMb7733tieaPXbsBMybd6a4P2/eWfjmmy9FJHzo0GHiuRkzZor/acn6PfLIU4iIiIBer/es3yeffIiCgvwmvzuJ5S+++AQ33XQrjj32OPHcuedegL17d+P999/yPNcYRqNRRMq1Wh1iYtq2tW2XEdkvvPACZsyYgbvuuks8PvbYY3Hcccfh999/x9y5cxu8/7nnnkNGRgaef/55IcLnzJkj3vfVV1/h73+vSx9gmHCEWl9JVcWgy3WhFI+BveRUns7O0D4JuPKkoXj8k41Yk2/CaDPgYpHNMAzDMEwboRGjpa4DpV+XlZVi+PCRPs9HRvpmLZIO8iY6OhpWq0WkWFdUVOD555/GSy896+O6TcJXpVevuv9Xn09P7+UjWP2ZkwWyftHR0di1ayc2bVqP7OwsHDiwH4cOHcCUKVOb/O6HDx8U6zl69Fif58eMGYdffvmxRVkBnUJkk2AtKSlp0Yf8+9//bnEEmWZEli9fjv/+97+e56gmYOLEiVi0aFEDkU3v/+2333Dfffd5otw6nQ4vvfSS36g3w4QbUnkeNHCjRjIiJiERZlOXmEsTDMqMR2KsCfur4gAzRF22214LjTGyo1eNYRiGYZgwgqLHFEWG095xK6E3BhzFJuq0TdNjO4rW1odEqN0uf9f//e8xjBgxyud17/VQo8y+y9SEZP2eeupRIYopkj5o0BAR8X7hhaebXbYaCa//3egzad0b246S5EJHEPDo+4cffkBVVZUQrMFAxe1XX311i0V2cXExqqurkZmZ6fM8Fbrv3t0wTSEnJwc1NTUYNGgQ3nnnHWzcuBHp6em4/PLLxS3DdAeRrdZjp/fsvKZn/tBqNJgyvCd+XGVDtTYG0VIVXCVZ0KcN6ehVYxiGYRgmzBDCzGBCVyEpKVkYhR08uA9jxvhGdAMhLS1dRKEpxbq5yHFbrF9xcRG+++5rIfKPO262x/G7tLSk2Uh0Rkam0KG7d+9E3779PM/v2rUDGRmylw+lg9tsVs9rtEwyV1MJZkKjtQQV4vr888/Rp0+foD6AUrVbAwlswmw2+zxPj0lM+xP1xL333osJEybg5JNPFmnlp59+Or755psGYj1Q9PrOGwXX6dRZo867jkz77V9HRV09dkZKdKc+dv1x9EgS2YdxyBaPkYYqoCwL+ky5Bigc4fM3vOH9G77wvg1veP+GF5LkK65UrUW3nSzLuFnOO+8i0et51KixGDBgII4cOYw77rhFGI2deOIpTf4vRajPP/9iUQNNKd3jx09Ebm4OHnvsf0KA33XXfW26fpMnTxVCmVLEKYJdVVWJl156DuXl5bDbm+6NTdrvzDPPFSZuZF42YMAgrFixTDiN/+tft4r3UM348uXLhDFaYmIC3n77TZEerxIRYRbO6yTsSYA35mau02laPX4OWGRPmTKlgdBty/9TUSPnlAbuDdmv00xMY4wePRp33nmnuH/SSSfhggsuECnjjz/+eNDrQOkRCQmd36E5Nrbl25lB2Oxfe408Y5fvisOUvold4tj1Jj4+EimJkcixkMjOgr46v8t9h5bA5294w/s3fOF9G97w/g0PrFYdiou1DcRTVwxQXXXVNbBYanD99VfD5XIiOjoG55xzHk455VRP2jRlbXt/T/k5+bv//e/XQZKc+O9/b0dtrQUmkwmzZs3Gv/99m3i9/v/TNpNvtZ7naFk0QaE+9v6f5tbvjjvuxiuvvCRcyKkEeNasuTjllNOEkZr8+fLy/Yncf/7zJopP4x//+LuoCe/Ro4cwQjvrrHPE61deebUQ9WeddYro2z1nzlzROkxd3vHHH4+vvvoMs2ZNxyuvvNEg2k6TMZR+HhcX6VOj3hI07s5WJe4nkk0R6bfffhvTp8sueMQdd9wheru98cYbPu8/cuSIiJ6/+OKLPvXaTz/9NJYuXYrvvvsu6HVwuSRUVlrQWaGDnn4EaB1pXZnwItj9W/HpHcJd/NWqWbjsqrOR0aNrpYwTL3+zFfZ9q3BF9FLoUgci9ux7Ea7w+Rve8P4NX3jfhje8f8MLipIWFuYiKSlN9EsmIUf7mMZVnVsJNY5cY20TYrK+Czd9N+/n/T1H/09Ctb6YrP9eCnRS9jClgas11/R/FPCMjIxscvl2P+unQvXhasCUDM1omWSKJi9LJ8R/09/d3uh7nE4HDAaKJWtgsViFuFff29R6ORx2lJTkISWF0uobLpvG44FOzAQcyc7KyvIUy/uDNlJSUpJnY4cK2tiUok71194imx7PnFnXdN3bTY9mRYqKihqkkbfGrt3p7PzilS4UXWE9mbbbv27JCVd5vvDKLJISkBwb0SWPiYweUVi+O0Hcd5Vmw+FwtWsdTUfA5294w/s3fOF9G97w/g0PXC5fJa0K664qsAlZODYUiv60mL/n6P/9RWvrv5eEdX0NVV/cNrZ8UyMCm/DOSKa0bTV1OxAt6S2aGzNJIzFMY+D637G59VKPl9aOnwMW2VdddZWIEjcFzTocffTReOSRR5CamopQQfXUn376Kc444wwh5KnGmkQ2teqqDx0I1E+bemlTmjgZrh08eBA//vijiH4zTDgjVRRC45ZgdethjEuCvgumQRG9U2PwnSsGLmihc1jhrimFJjqpo1eLYRiGYRiGYUInsskhvLKystHXKfROr5MAvvvuu/HWW28hVFxzzTXYsmULTjzxRPTu3VuI5gcffNBjwkafSSKcUsRp9oNahuXn54t08cGDB2Pnzp1CqJ977rkhWyeG6YxI5XWmZ+lpXS9NXKV3SjRc0KHAGYt0fTmk0mxoWWQzDMMwDMMw4SSyyTgsUDFOadxUS02p3qGA0gFef/117Nu3T6R9Dxw4EAkJciopMWzYMNGiS007oPc/++yzIsWdWnqRGE9LSwvJujBMZ0YqPlzXviup65qFxUWbEBtlRB59D305XKU50Pce09GrxTAMwzAMwzChbeEVCJSeTdFkq9UaMpGtQuLaH9Qzm/7qQ+26Wtqyi2G6Gm57Lezb/xD39zlSMS6564psNZqdlxcv7ktl2R29OgzDMAzDMAwTECEt2KR0cUrZptrs5OTkUC6aYZhmcBxYC9hrUSjFYa29P9K7uMgmV3SKZBNSaU5Hrw7DMAzDMF2cTt5UiQmj4yNkkexLL70Ua9asEc5wTz31VKgWyzBMgDj3rhS3q6wDAI0WPRO7dt/0Xj2isNYll4VI5TlwSxI0SusIhmEYhmGYQKEAIEGtm/y1ZmIY9fggdDp95xHZZCpGxmRUj+0vdZthmLZDqi6BK2+XuL/e3g8pCZEw6OUflK4KReJLpWjY3ToYXU64Kwuhie/Z0avFMAzDMEwXQ6vVwWyORnV1mXhMQluSqE82R7bDFUnSBLx/1d7ZdHzQcaL2A+8UInvevHmhWhTDME3gtltQ++OT0EYlImL2DYDLCevit8VrldH9UF4ahXFJoe1X3xHIxm0aYeLWW18CV1k2tCyyGYZhGIZpAbGxieJWFdokpCSpdb2Qmc6LtgX7lwS2epy0awsvcuoOlHfeeQfp6ektXS+GYRrBvuNPSIUHIOEA7Ou/B9wSXDk7xGu/W4Z7+kx3dUxGHZLjI5DnkEW2qMvuN7GjV4thGIZhmC6IRqNBXFwSYmKoFE1CXJwZFRW1HM0OQ3Q62teRQe1fShEPRQQ7aJF95MgROJ1O0Xc6oAXrQ25czjDdHkoLt2+Y79kO9g3fi/prwpI4GIv3JcJs0uO48eFRstErORp52ewwzjAMwzBMaCAhRTolIiICFosLTidHs8MNvV7b4fs3YCV81VVX4csvv8ShQ4cwZ84czJ07F6NGjRKzQgzDtA+OHX8BThu0qQNhGDQNthUfA5JTvPazfhaAGkwZkYrYSLlnfFeHzM/2H2aHcYZhGIZhGKbrELDIvvDCC8UfieyFCxfizjvvRE1NDWbPno0TTjgBEyZMCGmInWGYhjj2rxa3xlFzYeg/CbrkPrAuehPu+Ays2GoRr00dGT7mYGR+tsypOIxX5MPtckCjM3T0ajEMwzAMwzBMowStivv27Yt//OMfQmi/9tpriIyMFIJ7+vTpuPfee7F06VI4HI5gF8swTDO4HTa4q4rE/S92GvD9soPQpfRH1HmP4s+ok2F3SEhNMKN/WmzYbMteyVGocJthcRtF7blUnt/Rq8QwDMMwDMMwTdKqwumhQ4eKv1tuuQVbtmzBTz/9hDvuuAN2ux0//PADUlNTW7N4hmG8cFUUiFunPhJ/bCVnzDIhQi02J75belC8NmtCRliVcKQlRYrvk+uMxwBDIaTSLOiSMjt6tRiGYRiGYRimUULiTpaXl4cNGzZg06ZNKCkpQXJycigWyzCMF5IisvPs1NpK5tXvtiEmUk6fjjYbcOzY8HL0p17f1PO7wBori2xlGzAMwzAMwzBM2IlsEta//PILfv75ZyGuMzIyhCHabbfdhvHjx4dVNI1hOgNSZaG4LXBEo0d8BAZlxGPFtnxU1srlGXdeMl6I0nAjIzkKJUdifLYBwzAMwzAMw4SFyK4vrAcOHCiE9X333Ydhw4a13VoyDANXhSwwi6UYnHp0X8wYk47BmfH46NfdSE2IRM/EyLDcSmR+lnVQEdlKTTrDMAzDMAzDdHmRTWZnf/75J0aOHCmE9WOPPSZM0BiGaR+ciulXsSsGJwyUSzKOGZOOMQOTYdRrwzZ7hNp4bZRkke3mSDbDMAzDMAwTLiJ7z549SElJEQP533//Xfw1xQsvvICePcOnlRDDdDTO8gLRDqBSF++pwybiosKjJ3ZjkLlbiSqyLZVwO6zQGCI6erUYhmEYhmEYpnUimyLY+fmBt88J16gaw3QEbqcDmlpyFAc0sfJkV3chNTESdo0JNZIRUVq7SBnXJbLDOMMwDMMwDNPFRfazzz7btmvCMEyjOMoLoIEbVrcesQmJ3WpL6XVaUW9ebI9BlLZEmJ+xyGYYhmEYhmE6K5R9GhDff/89qqqqgv6Alv4fwzB1OMsKPPXYKYl1Lby6C2mUMu7iumyGYRiGYRgmjET2Sy+9hNLS0qA/oKX/xzBMHY6yPHFbJMUiNcHc7TYNfWdyVSekSnYYZxiGYRiGYcKkhdczzzyD6OjooD6ABTbDtB5HWZ2z+KhuKLJ7xJuxyyVfe7iNF8MwDMMwDBMWIpucwrdu3Rr0B8TFxUGvD0rLMwxTD3upIrKlGKQkhGc/7KboEReBZRzJZhiGYRiGYboAAavfDz/8sG3XhGGYRrGWF4vbWm00Yr3ad3WnSHapJEey3VXFcLslaDQBV7swDMMwDMMwTLvBo1SG6QJINeXi1hCT0K3ad6kkxJpQhSi43BpAcsKtbA+GYRiGYRiG6WywyGaYTo5bckFjqxb3zfFJ6I7otFokxEZ6otlSpey2zjAMwzAMwzCdDRbZDNPJcVsqRY9siuLGJXavHtne9EgwI98VJ+5LZTkdvToMwzAMwzAM4xcW2QzTyZFqK8RttTsCKQndr0e2d112vite3JdKWWQzDMMwDMMwnRMW2QzTyVHrjysls6hN7q70iI+oE9kcyWYYhmEYhmHCSWRnZWWFfk0Yhmkykk0iOz6qG4vsODPylHRxV1kO3G53R68SwzAMwzAMw4RGZF999dU4/fTT8c4776CwsBDtwbZt23Dbbbfh0ksvxeOPP46KCll4NEdtbS2uueYaLFq0qM3XkWHaAmdNmUdkx0Ubu+1GTo6PQKErDhI5jNtq4LYEdg1gGIZhGIZhmE4vsu+55x70798fL7zwAmbOnClE9/z582GxWEK/hgC2b98uxHXfvn3FZ5Hgvvzyy+F0Opv930cffRRLly5FaWlpm6wbw7Q1tnL52K1CJKLN3a9HtkpynBkO6FGiOoyX5Xb0KjEMwzAMwzBMaET2jBkz8Oyzz2L58uV45JFHxHN33HEHpk6dKm5XrlwJSZIQKl566SXMmTMHN954oxD1r732GnJycvDzzz83+X9//PEH/vzzTxgM3VeYMF0fR7UcyXYaortlj2yVqAg9zCYd8tS67JIjHb1KDMMwDMMwDBNa47OoqCicccYZePvtt7FkyRJx/9tvv8UVV1yBuXPn4quvvmp13aTL5cKqVaswbdo0n8+dMGECli1b1uj/lZSUiIj7ww8/zCKb6dJItbLxmRQh1yN3V2iCISUhEkecyeKxq/BAR68SwzAMwzAMwzRAj1ZSUFAgUsUXLlyInTt3IiYmBieddBJ0Op1I1d6wYYMn2t0SiouLRV11r169fJ5PT08Xn9cYd999t4h+U+SbYboyGmuluNVGdm+RTaQnReFQsSqy93f06jAMwzAMwzBMaEQ21V7/9ttv+O6770RqODFlyhQ8+eSTIoIdEREhnqP66RNPPBG333474uPlFM9gqampEbdms9nnefoMEt/++PTTT3Hw4EGR0h4q9PrO2+1Mp9P63DLhA2WC6O1V4r4xJrFTH4ftQUZKNDZsT4bIj6kugdZWCW1Uy64tnQU+f8Mb3r/hC+/b8Ib3b3jD+ze80XUCbdQikX3OOedg37596NOnD/75z3/izDPPRFpaWoP3ZWZmIiEhoVUp43q93pM27g09NpkatjM6dOgQnn76aeF8Xl+YtxStVoOEhCh0dmJjQ/N9mc6Dy1qDcrds8BebmtoljsO2ZGi/JHz5lwElmiQku0sQUZONqAzfLJeuCp+/4Q3v3/CF9214w/s3vOH9G97EdqA2apHIPuGEE/DAAw9g4sSJzb73p59+EinkLSUpKUnUYpaXy3WpKmVlZUhMTGzw/nfffVeYrj300EOe56xWK1555RVh1EYCPFgkyY3KSv9R884AzdLQQVRZaYHLFTrDOabjcSkO2rWSAREmE8rK5MyO7kpshE7c7rMlIdlYgvK9W2BPGYmuDJ+/4Q3v3/CF9214w/s3vOH9G97o2kgb0TIDjY63SGSTizilapPZWX1IEFMEOSMjAz179myVwFZNzvr164ddu3bhmGOO8TxP9dgk9utDPbEpsu4Ntfs69dRTRep6S3E6O794pYOoK6wnEzjOKqVHtjsSsVGGbr9/E6JNMOi12G5LxxTjHth2LYVh3OnQGLt+Fgefv+EN79/whfdteMP7N7zh/RveuDpQG7VIZN955504cqT59jnTp08XddGxsbFoDWeffTY+/PBDIZTJ8Oz7778XNdf1xbSaok5/3mi1WvTu3RtDhw5t1XowTHvjVpzFq6QIJEc1LI/oblDpRlpSJLYWZMBuTobRUgznkc0wDJzS0avGMAzDMAzDMIIWVYOTazj1nr7ggguE+P3111/x5ZdfCvFNKdxXXXUVXn75ZVRXV7fKWdw7Ek2p6eRaTsZq1JaLTNZUx/Eff/wR5513nsckjWHCBammQtxWSmbERxs7enU6Bb2So+GGFrmRQ8Rj56ENHb1KDMMwDMMwDNO6SPbnn3+Oa6+9VpieeTN69Gghhm+44Qb85z//wdixY0UbrQcffBBGY8sFAgl6qqWmdmFUi02Ga96mZkcddZSIcKuu5vV5//33Rfo6w3Q1bBUl0Cjp4nHRRri5GgD902Oxcns+ttjS0ZdSgfJ2CXNFKlVhGIZhGIZhmC4Zyd6zZw+OP/54v6+NHDkSDodD9LdOTk4WqeKlpaUIBampqSLlu75reI8ePYSgp97c/iDx788kjWE6O46KQnFr0cdBp+3e7bu8RTaxrtAMaHRwWyrhri7p6NViGIZhGIZhGEGLRu1xcXFYt26d39f279+PyspKIYTJ5ZtSxkPVSothuhuqeHSYeZJIJTMlGnqdFhVWwBUvl4y4Cvd32D5iGIZhGIZhmFaL7LPOOgtPPfUUXnrpJRHVrqioQH5+vqiN/tvf/oZZs2YJV/C33npLuIuTKGcYJnh0tUqENiaZN58CCew+PaPF/QpjT3ErlWTx9mEYhmEYhmG6bk32GWecgby8PNF7+sUXX/Q8TzWR1CZL7VH91VdfidpthmGCx22vhd5lEfcNcSm8Cb3onxaH/TmVOGyNBcX4pbIc3j4MwzAMwzBM1xXZxPXXX4/zzz8fK1asEIZkSUlJGDVqFAYMGOB5DzmOcxSbYVqGVCP3yK6VjIhP5GwQb8YPTsZv67KwMkeHcdGAqzSbDzOGYRiGYRim64psShUfP368MD+j3tWNwQKbYVoOGXoRVe4I9EyM5E3pxeDMePRJjUFuoRzpd1cVw+1yQKMz8HZiGIZhGIZhul5N9pIlS1hAM0x7iWwpAqmJUby9vaDSlPFDeogJCCeoq4AbbiXy39E49q2EM3dXR68GwzAMwzAM05VEdr9+/bBx48bQrw3DMB6kWjWSbUYKR7IbMKo/VWNrUC7JExBSdWhaBbYGZ84OWP98HZYfHusU68MwDMMwDMN0kXRx6oX99NNPY8GCBaIGm+qx/dVsc29qhmk51spSMQtWLUUgOS4ClZVyajQjk9EjGga9FqWuSCRrK+Gu6XhRa9/6S939bb8iYsoFHbo+DMMwDMMwTBcR2b/88gtiY2NF2y7688dll13GIpthWoG9qgIRFB01REOna1HSSfi38kqNQXm5XK8udbDIdttq4Mre5nns3L8G7snnQaMJn33ndrtFqj7DMAzDMAwTYpFNrbkYhmlbXLUV4tZplHtCMw3JTI1GeamcLu7u4PRsx/7VgOSCJjYVbkuFiKxT/25dch+EA7ZNC2Ff9w10aUNhPulWaLThM3nAMAzDMAwTSrStiWj8+eefuPfee3HdddehsLAQH330kWjnxTBMCE7O2hL5XDPH8+ZshF7JUSiXlEh2B4pscja3b/5J3DeOmAVd6kBx31WwF+GAVFkkBDZNIrhytsO5Z1lHrxLDMAzDMEx4iWyn04l//vOfou56/vz5WLp0KSwWCz7++GOcccYZ2LWLnXUZpjW43RKMlmL5fItO5Y3ZhMguU4zP2tNd3O2wiolGFfuWX+CuKoLGHAfD0GOhSx0knnfl70M44Ni9RAhsFdu6b+B22sQ2sG/7HbU/PwupPK9D15FhGIZhGKZLi2yKWG/evBnvvPOOcBlPT08Xz3/yySc46qij8MADD4R6PRmmW0GCUed2wuXWwBDbo6NXp9OSJiLZirt4jRz5b2scB9eh+v0bYVv2gfy51SWwb5wv7pumnA+NwQRdz0FhE8mmCL194wJx3zT9MmhikuGuLYd9629w7l0O24qP4DqyGbW/PAdJaTtHuMpyYd/8o4jyMwzDMAzDdCdabHx23333Ydq0aT7PJyQk4LHHHsPUqVNFZNtsNodqPRmmWyFVyGUXxVIMYqLJ/ozxR4zZgGqNUrNurYbbaYdGb2yzjUWC0frbS+K+Y+dfcOxaDLgl8VjXczD0A4+W76f0BzRauKtLRBq7NprajXU9XMWHYFv9ubivTe4Lw8CjoTFEwPrXG7BvWgiNru4nxF1RgNpv7kfkWfdDKsuB5YfH5ReMkTAOm9lRX4FhGIZhGKZrRLIrKyvRs2dPv69FRkbCZDKhokI2bWIYJnjU1GeK0sZFtZ1o7OqQ03VETAxsblnstXUbL2fWVt8nFIFNmKZd6nHeJiGqTcrs8tFs+6Yfxa2+/1GIOut+aIxm6AdOgTapD+CwwG2tgjYhA5FnPQCYosT2tyx8ApYfnvAsw5Xfdb8/w7QUZ/Y2VH9+B5yHN/JGZBiG6Ya0SGT37dsX3377rd/XVqxYAYfDgeTk5NauG8N0W9y2anFbLZmQmigbezH+SYyJQJErRtx3lWa36WZybP9d3JLDtiYqETBEQBMRA+PEM6FLyoTkdmPB8oNYuT3fqy67a4pMV/FhOA+uFfeN4+d5nqeWZKbJ53kem2ZcJhzUI46+SDyWxD5wiwi2eFx8uN3XnWE6Emf+Xlh+fAruinxYfnsJbpeTdwjDMEw3o0Xp4tQD+4orrkBeXh5OPfVU2Gw27Ny5U6SRv/766zj//POh17do0QzDUASxWq5trXGb0DOJRXZTJMRE4FBxD2Toy+Aq2AdDv4ltcgxJlYVw5ewANDpEzLwGGiUF3LsP9obdRfh26UFx//ETe4s+5101km1d8g458EHfdwJ0iXJUXkWfMQKmGVeI1Hx9z8Hyc/2PAha9Ke5rTNEibbzm09sgleeINHuNztAh34Nh2hOpqhiWn572esIlotkGOj8YhmGYbkOLItmTJ0/Go48+ijVr1uDmm28WbbtuuukmPPPMM5gzZ454jmGYlmOpLBe3Tn0koiJYnDRFYqwJB50p4j6J7LasTya0yb2hjUkW4tpbYBO/r8vy3F+SLaf5U30yucV3JaTaciUCrYFp2iV+30N11oZBUz2PSXCLlPnYVJhPvhWa6CQR6SehLlUVtePaM0zH4dizHHBYZQ+DEbOV57jlHcMwTHejxeFmatVFgnr9+vWiRzbVYo8aNQqZmb4RD4ZhgsdeUyWioDqznAbNNE5ijAmrnLIDu1R0qM3Mz6TiI+JWl9Tb7+tlVTbsya7zolh+wIq5ERrA5YTbUgVNZBy6Cq5cuQ2jNqk3tFEJAf8f9QinPxVtXKoQ6+7yAiBe7kLBMOGM84BSYjFyNrTJ/USJiSt7u2j7R14NDMMwTPegRZFslaysLOEgTsI6KSkJubm5WL16tfizWq2hW0uG6W7Yqjxpt0zz6eIlUjRqYAYkZ5vVALtKZJGtGprVZ+mWXHHbLy0GkSY9ymsluCJixXPkMt6VcOXuELe6XsNatRxtnGyQKVXkh2S9GKYz4yrPhVSWLUpK9H3GQZuQDk1sirguOQ9t6OjVYxiGYTp7JDsnJwfXXnst9u5tvNbw119/RZ8+fVqzbgzTbdHaa8WtxswiO5B0cUprPuxKwXDdYThzd3r6VIcKN6U8Fx4Q93U9+jd4varWjt/Wyqnic4/qLYzPtuwvQa0uDjGogFRdLLf16iI4c3aKW316a0V2qk9LOoYJZ1QhrcsYDo0pStw3DJ4O+7pvRMs7avGndiBgGIZhwpsWiewXX3wRLpdL1GCnpKT4/dForMUXwzDNo3PWyCeoWY6EMo2TEEMiG9hsScfw6MPCZMjk5YYdCtyVBbLju04Pd0IG1u4qxID0WCTGyumfXy8+gBqrExk9ojBxaA8UlluEyC5xRiKmi0WyKRrnphpqjU70/m4NHMlmuhMudXIqc4znOUobt2+cL7wZbCs/gSYiGsbRJ7VJSQvDMAzTxUX2tm3bcP/99wsDNIZhEPKoqdFlEfcNUVyT3RzRZgMMei22OzLEY6noINzWajGYDRWugv3ilsyMPv/rEP7YkI2BGXG47IQhyCqsxtLNcqr4JXOHQKfVYmAvuf4622JCXy05Dncdke3cv0bc6jJGiL7YKjsPlwljtyG9EzD3qMzgItmVHMlmwhu3w+bpJKDzygDRGCOh6zUCriOb4dj2m/ykJME08cyOWlWGYRims9ZkR0VFISKCDTwYpk1w2qGDS9w1RXcds6yOgjJpesSbUeU2w25OFs+5iuTU7lDhKpRFtiuhrxDYxL7sCtz79hq8uWAHdYXGtJE9MTgz3lOXrdVokGuRr5NdKpKt9PWmmlIVi82JN+Zvx8a9xfjsj73iuweCNlYW2e6aMmH8xDDhin3jAnHt1sQki1psbyhyTVkwKo7tf3S5jgMMwzBMO4jsuXPn4qOPPhIRN4bpbNjWfYuqd69D7fcPw63UNncl3FbZ9Mzp1iIyWq7rY5qmf5qcVl9sSBO3LqV+OtSR7D1WuTe2P849bqDnfoRRj8yUaJRJ8v6TupDIVk3KtIm9PM+t2VmAihq75/GXi/Z5rv+VNXZsO1ACyc/vAWUTqOZ91GecYcIVZ9ZmcWuaeFaDEjp9+lBEX/wcoi56GtAbRemJVCZnvzAMwzDhSYvSxWNjY7FkyRKcdtppom0XOYzX58Ybb0RiYuMDUoYJNpJI9Z2qmQxBrZqc+1eLFF6d4vjsKj4M+4bv5fsFe4UJlqHvhC61sUXtL4AatwnRkVy3FwgDesVi2dY87LcmIt0r8hyS/WG3QCqVncUX7tWJ23NmDkBRuQVmox7VVgcmDklBbJTvvqJ08h3FXUtk0znlri71qaemNPH3f94t7s8an4ElW3KxN7sCm/eXIC0xEg9/uB7VFgdmT8jARXN8a7hJiGtie8BdVA2pqrjR9mcM05Vxu5we0dyYj4GYcEI0dCkD4MrdCVfBPugS5RIXhmEYJvxokcj+6quvoNfrUVZWJsS2P6666ioW2UxIsG//HbblH0FjjkXkmfdBG50kBu+W316CK2uLSMOj53WJmXDs+MPnf60lBTD07Vo7guqJiRrJhHizoaNXp0swQKmB3lgWixlRciRbCLwQOPmKOku3G67IJBzONoga8DkTM0UdeFNQXfay9UpduK1GiHXvGufOiFw77QaMkdBExKC00ornvlQidAYdTpicCaNBi59WH8HXi/cjxmwQApv4fX02Ikw6nDlDdlH/avF+LN+Sh3sGxIOmH4SZGsOEIa6yHEByyedNdFKT79WlDpRFNvWiHzaz3daRYRiG6QIi+/PPPw/9mjCMH5zZ22Fd9QVIKrktlXDsWQbT+NPhOrxJFtiEyynMmrTxabDtXydqIA47k9BHX4Ky/Bzh7tyVcNZUeiLZGZEssgMhPTkKZpMOh2yxcMfooSFRW1EATXzruxy48uQoblmk3JKwb1pMswJbfZ8NBljcBpg1Dkg1ZdB1dpFddEjcUoSNJih+WZMFh1NC354x+Pe5Y0S0/uSj+2DxplzkFMkO+Ea9FkcNTcHybfn4YcVhpCVGYdWOAmw9IEfvcyxm9KNlVxV36HdjmLbCVSxnulCmRnMTe7rMUcDGBXBmb4VbkqDRtqhqj2EYhunkBHx1LyoqEm27AuGnn35CdbUcjQsV69atww033ICzzz4b9913H0pKGk+/pAjW/PnzRS/vc889F7fffjv27dsX0vVh2h7bxh9g+elpaFx1taDVu1YJwxjr2q/F43JJFi01e9bAlbcHWkctqqQIrLENEM93xeiZtVoV2REwm1o0D9btIJMxqst2QYeaiJS66FIIcCoi+7AkC/beKYFN2yTGRIjJoQopUjx2WwIzC+tInBRdU1Jey6psWLxZ3oZnHdvfkw4fFWHAKUfLEw7EvOn9cNUpwzB1pLx93vxhh0dgE7lWxfyNRTYTplCZEqENoByC0sVBZU+2GtjXfoWar+9B7YJH2RiQYRimu4rsiy66CNnZsquuysMPP4zi4obRCeqf3ZQIDpZNmzbhmmuuwcSJE/Gf//wHubm5uOyyy2C314kvb9588008+uijOOmkk3D33XcjPj5eiPP9+0NXp8m0LSRsaAACt4R1tn64p+wcuNwaGKvz4Ni5GO6ybFgkA16sPAG1kgGGmgJYFj4h/neXIx2mRNkAS2+R60u7Eo5qWYzZtWYhHpnAGNFPTtPMc8gmaNSXtrW4nTbREozYVCl7TPRODaw1GEW7Y6ONYtJHLKu2vMXr4Ti0ATVf3YPqz/8D68pPRQ1oW0B1ooQubQje+2kX7A5JOKWP6OvrrzFrQoaoOR/RL1G086LonbfwJi6aPUjc7iuXszE4ks10JcjXQbJUBhfJTm5eZGu0OhiHHy/u2zf/CKkkS2TLOHYuauUaMwzDMJ2JVuUpLVq0CDU1cspgW/Lyyy/j5JNPFnXekyZNwosvvijE/Y8//ug3iv3uu+/iX//6F8444wyMHTsWd911F4YOHYoPP/ywzdeVCQ3WLb+I21W2AfjEcgwmjhuEPU45UmZb9r643Wjvg559++KL2ilUMushW5eJ/oPkQmyTU3bq7ko4LYq7uL5zpxZ3NsYMlEX2nko5ciyV54XGVZxqLSMTsK1IvlwOSA+8rVpybAQqlWwLd23LItmuooOw/vYipNIskQLv2PoLnEc2IdS4JZcn88MWlYptB+WJ0itPGtYgBdZo0OGuSybg1vPHQq+Tt0taUhSG9UkQ90+a0hszRsttjLJr5UkGqaqIO1IwXQL7jr9Q+93/YPnxyWZbbdGYQxXZgUSyCePoE4F6pSP2LT/D7ZL9DRiGYZiuT6cvBnI6nVi7di2mTp3qeY56dE+YMAHLly9v8H5JkvD+++9j3rx5Ps+npqYiP19uTcN0bqh2VTosi4i1mrH4z8XjceHsQdjllg2VVA4aBuH600fiSMQwvFg1Vwhyinpr+oxHbA85ZdjktsHtsKEr4bLIpRYuA7fvCoaeiZGIjTQg16lEskuzW78vlFTx2rh+kNxAfLQRibGmgP8/UYhsRfS3MJJto9IItxu63mOgSx8mr5eS1h1KRC9vEhQ6PfYUucXEVWpiJDJSAovcE387bTj+ftpwnHVMf5iMOrG91DZmoD7ZtraflGWY1kB10rbVsu8MRZmdB9c1+X5nRaHcKlKrgzbetz92Y1CXjIjpl0GXMRKR5z0CTWS8yHRx7F3R6p3nPLQRtT89A5fir8AwDENZedYVH8O6+G2PuS7T9nR6kU1p5xaLBWlpcvqvCj3Oyspq8H6dTofBgwcjKqpOoFB9+OrVqzFmzJh2WWemddh3LYEGEvY5UjBjxgTh0qzTaqHrM97nfanDx4maZRrYZ2t64dOaafiwZgaGDkhDQnwcbG59q9N0OwSlhReU/sJMYFC0tX96HLKcyeKxVJbd6jpHNX06R5PucTEPxrE8iUS2O6LFkWwa8Lvy94r7pknnwqCkmariP5RIlXIUWxvTAzuOyOs6XIlMB0p8tAlTRvQU5yuRmhAJB/RwGOQ6dk4ZZzo7ErX/87pu2Nd/32QGhj1fFrPahF7Q6AL30DAMPBqRJ98GXXy6HNkW6eM/tSrbg7oqWH59XpiCWn5/iSPjDMMIHHtWwLHtNzh2LxVim2kfOr2rkmqgRtFrb0wmkxDfgfC///1PiO5LLrmkxeuhD8BNuKPQKema6m1XhlJWLdv+EgfmOmkYrhqd5tn2Y0f1w3f7J2CeeT0W24Zh8she4rXh/RLxyLVTsHpHAZxOCZOHp8JqdyFLMiNFVwVnTRkik3wnaTozWrsc7dOZo8X3C6f929ZQnfCmfZGo0cYgSqoCSg9B32t4i5enpk/vq5FTOwdnxgd1LUhOiMBOJZKN2nK//9vU/nWV5gFOG6A3wZicAclkglVptaXTaULSoszzWTWyv4YuLgW7DpeJ+yP7J7bq2tczKRK7s8pRq49DnKMKmtpi6PW+GSnhDp+/XQv7gdXiVt97NJx5e2Rvh6K90KcPFc+7qGTj0EaYRhwPnS4C9kLZ9Eyf3LvF54pu1PGwrfsG7op8aMoOQ5/Sv0W/nbXL3qt7TEaDBXug7z2qRevEdJ1z17L6KziytsHQezQijjozpL8L4UxX2b+hwJqz1XPfuW8lNBPnQZfYC+GMrhPs304vsg0G2TSnvrM5Pa4vvP1BJmyLFy8W9dgxMS1r5qTVapCQ0PlTd2Nju34Nr+XwNuht5aiRjEgddwx6psipv8S0cRF4+rMRwjncHBePq4aken5MaP8M7idHMAmKBuxwRyEFVcK8pivsP5VcV624Nccl+Kx3OOzftmbMkBR8tWg/DkspGI4qGCqOIGHkUS1aFtViltXIxnnbC+WL9LihPYM6lvqkx2O5pGQk1JQ0+b/+9m9VtlxXburZD4lJMZBijRBWTE474sw0ERO647rUWQU68tzRycgprgGdWkePzUBMpOwq3hL69YoX7b4qNTGIUzwS4rvQuRhK+Pzt/Eg2C8p3LxP3e0w/E9U7lqNq0+/A/uVIGDEBzsoS5Hz/KFzVpTC5LYg97hIUlMoGi9G9+rXi2I6CY9BE1OxcAV3uZiQMCV4YV6z5QdSGayOiEdF7OGr3rIE2fxsSxkwJ6P8dpbnI++RBSNYamPuPRcqZN0OjCX/x0dXPXVv+AZStn+/JZIjrNxRRg1v2m9dd6cz7NxSQ10N5zk5xXx+bDGdlMTQHVyBhwBXoDsR24P7t9CI7OTlZCKmyMjmyolJaWorERF/H2/o89dRT+P777/HRRx9h4MCBLV4HSXKjslIWPp0RmqWhg6iy0gKXq2mTls5O6Yblou3RdkcGjh6VjrIy3xrO+686Cp/9vhezj8pEeXnT+8Sik8VNaW4uoustpzOjdyrfyxglvn847d+2JjlGFoS7ahIwPAqoPrQTGF7TYm8A6sHu1miRU2MQbuFJ0YYGx2RTROg0KHXJxyH9sJWWVAp3YW+a2r+WHDkV1R2b5vlcTUS0qKkqy8mGLikToaK2VI7a7y+R01WH9k6A0+ZAma3lZkxxkfJPTL7NDFrTmsJcuLvQuRgKmtq/NJHDQqb1kNu+VF0CbWyPVm1P254VosREG5cKS1x/gDpBbvod1VsXo+bAFrjpmqBQvvoHaIbMhKNEngizGRN9rg1Ol4RNe4sxakASTAZd898hfRSwcwWq9m6EZuyZQX//iiVyHXnElHNFjTf2rEH17rXQHnVBk5FN69bfYdvyC6SKAs9zJPaLh8+BPlVphelywnFksygp0UbGQ58+BNqo4EpJuiJd4be3du1vPo/Lti6HvUfLs7faAldZLiRLFQzpQ9CZ6Ar7NxQ4cnbBbbdAY46BceJZcP75hhgbacP8t1jXRvuXlhlodDwokU09p70v1pWVlQ2eU58PFZGRkUIg79ixA8cee6zn+e3bt+O0007z+z8UxXzooYewbNkyfPrpp8jIyGj1elAacmeHDqKusJ5NYT2wCTTnVBo9CD3izA2+D/Uovv0iuTa7ue8q6kCdgL2ypNNtF7fTLgym6g8I6XmDWxY1+sgYn/UOh/3b1pj0OqQmmHGosod47MzfB4fD1aL0OVdZobi1G2IgQYshVI8d5LUgLsqISrcZTrcWekhwVBSLmme/n+dn/zrLZLNGTWyK5zVNVKIQ2bQsd1zo0r1cNbJ3weEK+ZgcP7hHq483cldXHcaPMpFJVFG3PYbr71/Ln6/DlbMd5lP+06Fpe1T3T2kLXTHFlCYpnPvXwLbmS2Hcp03MgPmEf0MbU5fVFAz2/bLJmb7/JLhcbrgT+0KblCkM0FSBTQJWExkHqfgwalZ+BUeZLLLdMXXnqOR2460FO7BqRwGmjeqJq09pXvRo0hRTw6JDqFn5pRgMB7pP6DrnttVCExED7aAZALmU6wzCA8FelAVdYobfbWdb9bnoVuBZh9gUeWKxphTWXcsQkdRPLuH65Tm4surSTTVxqYg695EGE4bhSmf97aV9aN+3Rtw3jD4Rji0/w75vNQwTz4E2MvAuGG2JM38PLD8+DbjsiDz7oU6ZotxZ92+osB/eLG51vUZC00OeOHMVH4LDZoNGJ2cLhzOuDty/AYtscvcuKpIjHYGK41BBQp56X1Pf6759++Kzzz5DTk4OzjrrLL/vf+SRR/Dbb7/h66+/Ro8e/ge0TOeDIhFmayEktwaxA1tvUidFxAHVgFsRD50FV/Fh1M5/BIaBUxBxzJU+r7kV92XaBpHRLStv6O6kJ0dhS1kiJI0eWmuVaHuliZfbvwUDtZwiyt3yfhjSOz7oZURF6GEw6FAqRQl/ABr0Niay/a5DpRxd0sbWrb+GIkglR+RIewhRDQJzq+WBc0aP1qd1pySYxcREvt0MmBQHc0Zc66gujrAueQdRZ9zTIVvFmb0Nlt9egjY2BeaTbu00A/NAsa38VJj5qFBHAeuyDxB50i1BL0u04lL7xGeMFLckck1HnQ3Lz88BpigYx5wEw+Dpot659vuHYN+1VP5njcZzXpPAfmP+dqzZKU/SLd+aj9On9UNyfNMpiyJC3HcCnIfWw75xAbTJfWDoNzGgdXcd2SKvdzq129MKDwddz8FiEseVv8evyKa+3KrANk48U7xfl9JfuJNb/3wNju1/CLGuMUXLAltnhC5tMFzZ28Q11blvFQyDpwW+gZmQIxUekK/bhgiYJp4lDDGlooNw7FkK09hTO3yLO/YsF9c30QaTrjd7l0M3+byOXq1uh1OZINNnjpIn0qh9oN0CqaKwU056hBMBi+wHHngAHQUZlu3fvx+nnnoq4uPjRZuu5557TrTlIiglnES4Kr4/+OADJCQk4MorfQXMqFGj8Oijj3bQt2Caw3ZYvhAcciZj+JDA+o02SWSCENlaW8v6E7cV1qXvCzMrx67FME27xGcmUXWgrnJHIDoq8FZRjK/Z1sa9OpQZeyLJlg1XwV5oWyKyyfCIjkeLnO49JDN4kU2D9PgoE0pc0UJkCzOiIAb9agonRY5UtNFJoCFLqAWreuxlV+s9LdFai0GvQ0KsCWXVsmBnd3EZx77Vddu9UhZj7Q15VVj+eFU4aUslR+DY8SdME4NLU+5IpPJ8j8A2DDkGhmHHova7h4SztlRZKCYOgoGit0KwaLTQ9ejreV7feywiz7xPiGgq1RCQIO430dPeS582BBq9XKqycU+xENg6rQYu6vsHYMW2fMyb3q/ZdYiYcyNsyz8U+8Kxe1lAIpvqLR27l8jr0W+C53kSzCSyJaWVF03KkbDW9xkLbVIf2Df+IJ43TT5fTB54vu+AyTCW58G+YT4cu5bUrdtx18DQfxJsG3+Afe1XsG/6AfqBR0OjdBJQP4Pak6nbgmlbHAfWyvusz1ixzQ2DpsFWdBCu7O1AB4tsEnbULkq0haSJH7cEx76VME46h0tk2hGpIl9c39XJQxqTaKMSIdlz5Osdi+zuXZOttuV68MEHceutt4pUdGrfpdfXrfoxxxyDYcOGieh5r169sGDBAr/LMZvD29ygq+HYvxrWJe/BMGAyTNMvQ+mhPSCbszxtGkaHIIpmiEkACgGDPXTlC62FoqM006xCkRO90vvYO5pYKZmRaA7/NJ62ID1JPnaOSKlIQjacebtgGDIj6OW4lD7bR2yxoh67f3qdCV8wxEYbUVoaDRiCE5luS6XSSkjjk/4qItlqzXgIU4bF55GBkmQWrfFio0IzUE6OM+NgpSJOHBaRrUED8e6MGsUm3JRt4bS3uzCxrf7Cp2+589CGLiWy7Tv+ELfUPz7i2KvEfW3qAEgF+4QBVLAim9InxTISM6DR+05w6no0FMimyefBmbNdRISMg+rMxdbslCfGZk3IQO/UaLz1w06s3lkQkMimAbBh+HFCZLtytonz0lvE+l3v7O3i3KU0dm+RrVUmClzK7431rzfgyt0J+4bv6/7ZYIZh5OwG60DHAS3Ptux9+ftnjhYCmzCOmAX75h8hlefBuX8VDIOmwi05Yf3zDTgPrIEmOglR5z8eVDszFVoOmTpqjKHLhBTLdbvFBIPGYBKTJW64oTGahdjoqtcimlxx7lec8JXJGH3GCNhon+fvFa93VCowXeOtf74uhLV+0FREzLgC1R/9W5RcuHJ3tarjBxMcVBKinsNaszyGEZ4NZYrIZtqULiGyVeLi4sRffShqTX9EdHS06JPNdG5o8FCz6kvoHBY4di2CLn0o3CXKICe5T0jqAyPikuRbV7X4ke0MNYf2jQvp23seixlGL5HtqC7ziOzeLLJbRGaKLOjWVSZjnBki1bElBlNqJDvPFY8B6SS0W1Z/GB9lRGlxtE8KekCfr0Q4NdGJcEKPLbsLYXdKGK6PBX0TbxOm1kJRPBoQkclbtTsC/ZOjQna+JMdFYE+WHnZdJIyuWjHRoGuHga0weqG0uE4GmUdJpVme6A5Bgx2RxteOaZzOPeSirYF57r9Eb2VKtXY7bQ0EZmfE7bDBIdafRF+dSNTFpwmRTQIwWKSyXE+/60AgER93/sMwlh+Eo9d4kK+Oze7C5v3yRNqUEalIiY+ETrsLeSW1KCitRWoA2SHi83VGUcNKWQ7NlbrQ5AhBqeYabd2QTpci117SfnUcXC8Edn30mSMbFWLG4ceJWxLwxlFzPM/TOUV9ve3rvhF9vSmaTVF3Etji/dUlkEoOez5fxb7tN5HOTCVS/oQt+UzU/vC4uO5Fnftwi+vq/UHp97S+DaAJhcnnwTi6LpLfVXAeWCtfN6ISRLYFoYnrKSZOaDKzI1OB7ZsWwm2rhjY+HRHHXCUmXGiShsZ6jr0rWWS3E86cHXAe3ih+a0xTzvc8L0Q2XRtYZLc53J+BaXdxbVn0Fqrfugo6pS8vUb12PqKscgQgMt33x7mlRCbKP9IG4X7Wce7wZBxD39tVmiVSxImDTnnd6kc2bZVyyygyy4qM6FJzYJ2GXj2iYDRosdOSDLc+QgwSaWY/WIGmpnbnu+IxpHfLnXTjKF1caeMVVLp4hWx6hthUPPHJBrz87Ta8uWAH3vhdFgOhTBdXJxQqdYmyyVsL6s+bEtlEjS7WU4/cltCEmnXlp6h+73pY/nxNPO5MuPJ2iVttSn9PGUCo6+ubgiZ6rEqE0jj2FOj6jBX1xjT55+0w3ZmhtFOKIGtiU6HLGOF5Xhuf5kmRbLnITg/4f0gIxoye6TEA23KgBHaHJI75Pqkx4ho+VDmXFm+Wl98cNBmoTZC/h0s5Lxtd5+oSOPatEPf1/Sc2qPEm0zbar9ZFb4nnDEOPRdQlz0NHtZmR8TB4TVA0JrRNE05vEFk2Dj9eTATQZFHtV3fDtuJjn9epDry+gKb3UHq9bdVnfj/LtmmhPPlEpVRemR6txUnR+3Xfeh4L47oopTON2w3bmq/b/JrUFjiPyGZW5BGgZg2IVGD1HCgP7HgLNbQt7dt+FfdpAkNdN/3gqfJ6H1wrJvOYtoXGnORZQVB2jM5r8lD13uBIdtvDIptpVxw7/1IiKDLf146Hy62BvioXerhEqmpan7p6uNYQHxeNKimiQ2tB6cek5os7UfPlXbAseFwMeLY4+2Cdrb943VrqW4/pUES2VRcDbSeIvHdFdFot+vWMhQs6lCbIBkaUKhgM6gClGpGocUegT8+Wm9CJdHGljVcwx6EqeLJqI7E/t1JMHBDFDrNHmIVKQKoiO9sh//iGUmQnKSK7TIoJeqIhGCgttvanp1E7/2GPoROZM6n1aJ0FZ95ucatPGyrSVT2ZBO2Ebf33IiVXlzYExqNkB2stRcCUOueu8juiij3vDBVtnCowWiCyy4MX2fXZokSxJwyhVmLy9XvWRLnN3l8bc+BwygZQzaFG09XzsjFsFJ11OcW+1KUNbfC6PnO0fMdhATQ6GMedKgbYkSfdiuhLnhO15C2BatMpTVxex1xhkKbt0Q/GCXK5gStfNpBTsSv7S6zK7mUind8bKpcgUyzPe/Ysk13vW4lwUF/2gfjdNQw9BlEXPyv+oi9+BtF/e1dMdEFyeoyhugr0vVw5O3xM+lTqRHbw2RyhwE7XF3FMDhWlHCq61IHQUHaCwyrM9ZjWQ5Nw5K3hDzqfxKSVMRIm5bysX3LGIrvtYZHNtBskCKo2yTOcf1mG4/GK01CYdgw22utE9X5nT/RuhaDxJj7aJFydCZvSjqm9oR9vSvmjqCSlT7mhxfzqcShRBIe9vMBvGyWnkZ3FW0P/XnLUdLNmeN3subU64P+XSutSxYkeilBsCdTGq1gVmGSuRO3bAsCZKw+iNpfKn33FSUNx7nEDUC4pUSWKBoQoQ8OlfN/DVnk9eyUrNdQhqskmCp2RbTbhRdki1kVvitIAShf2V2vbWaDWT4QudUBdfb1SJtLmn12e7xEzZHilClTVGFCq6JiBeTBQOrHYhhqtJzqmUvc98oOagCLRoooSXXzLRfauw/L1e3hfJVIKYMyAJMRHG0Uq+bVPLca9b68WqeOtFdmukiw496zw2pcNJ2V1GaM89w2DpwbV2aA5DKPmijZhlI0RMfMaRJ56B3RKrS2ZTarbX0Q2N3r75LiF+Seds+KRyynqRoUnBEXMDWbZvfzQ+lavI7mui/1qNMM05QLR21vdTnSrSx3UoYK0pYiWctYq4SpO1xFv1CyIjvhOorWkkoVArvzexyRdawwDZO8C55FN7b5u4QaVX9R+eTdqPrpJdFTwvt7RffuWn8V907hT6wwb66eLV3W9DI5uIbLr/3iR8ze1y1q1alWo1osJQ8jwy1hTALtbh31JM3D8rMn41zmjsSJ6DlbZBqLIFYPD8RNbXPtaHzJvqoAsGmpKOiZC4zNjG5WEP5zjUSTFotQli3+DtdTnfNIqKfRSZN0gjQmeAelyRHZ9caScMulywrFXHpAGgpqmmaNEdtVobEtIio1AjdsEK4w+tdZNIVWXivYsVDO7skIeNI3un4RBGfFwQC+WJ94Xogiop/7cGS9M3uKiQ2fCpW67XIsstt1B1KUHCpVhqOm+1F+Y3KCNY04Wj72NBjsaMiPypCUn9W73SLaNTK/cbuh6jxXu0w2jX/ldxlGZ2lVpI3wnIzWxPUTEliaggvEscFeXiug+tLoW18Zv2leMkkqrcBUflFHnHUNCY+zAuvri7KIafLvUN5JbH10zIpsm6qx/vCIEK/X09t6XPsvpOVAeUOsMMI47rUXfq/F1TEfUxc8g6pyH5ZRlg0l2ZdfphWB2K+0Hbeu+kzMneg4WqeokpKlm27H1V7l07MN/waGY2FG9tloL7tj+O2q+fRC1Pz3T4tpRx75VHvd5f2ZqHR31bSlOcg+nfUCu9l51+B39ncgQT2Q10LUtdWCD1z2TMHm+5QRMcIjyCzKuFA/cslGiUoak+jSIa4feJEpE6lNXVpPX6cqpurXIXrhwIWbMmIEjR+rS7z7++GOccsopuOuuu3D55Zfj6quvhsViaYt1ZbowdCJXrv9J3N9i740r5o3D8eMzoNdpcdkpo/EjZuKhijOROUI28AgVVkN8h0ay1VTVjb3Oxy+9bsCCyuGid/CUySPhdGuhl+ye9FnaRkarMtiObj8TpHCEjMqInOJaYOAx4j6ZrgT6g0JmQWokO9psQIRR38qaZI2YRBLLDqDuVU1dtUeloMptRmoC1egb0EPptVvmiqwTB61ERPEU4Ufflz4jlKUKiTEm8hdCgVNp4xXillVi1l5JDzdNvRim8fOEGzQN9MTnKd+tMyAGPm6XqIGmulBP2l471GSTUKH0eaK+i7gnzboFtczBQn4HFO0KNKOjPp62WX7aW5HgEEI7SJHhmfiIS/XUVwfLb2uzxO1x43s1uF6ccUx/IbTpWkKs310Em8PVfCS7PN8T8fXGSW3KyvOgiYiBaepFjS6HtkfkGfcg6uz/Be22Hgg0yeHtIk4matpkxdWcejg7bSKLiDAedbZIVad+zoRt9edy6Zi9VkwEmGZcAUP/ozz7Ve75fEC0ZLMt/6hFTuXOLKVuuZFWaE3VL5OpW9kb1yDvkwfk0hyHTfSUr3r3OiFwOlKcUGs2Ql8vVby+yKZre3sKP/u238V92sd+MyvIDE+jE5OK9UsGmMARLfvEZEYfGMgfgY7XDfPl/SC5YF/zpbhvHDXXr8mguBbQ/iHvGUvnanHbbUX2zp078X//93+iVZbq8J2dnS36Tvfu3VuI7Q8//BAFBQV47bXX2nKdmS4GDaqsf7wKfZb8Y5uXNBGJsRE+btCPX3c07r/yKMwc2/JUPX+4zIkdVpMt6qaUyNDC7Tb8uEpOEz3n2AFITY5FrkseYLuK5UgbXex0bgcktwaG+NCl9XVH4qJNQtzSMOiweTigN4qBNKUxBhvZbU0Um1CP9UJnECJbMeKp0cr/0ztVvo2JNIhIWblSBhEKwywxyeOyQ9LoUSxFI0UR8qGCJtISYkwoVicZKotCOkClNniUXkrROu9Wbao7cWcyNSLhQFDkUe1XGsqMhCY/O5ciHW7RvUGX3Md/mrUYmLedeKBlkxkdtfex/P5y0CKA6g/VzATvdlXeeOrLg0h9V893ckNu6fc6UlAl7k8bKYscb2IjjSJr6/l/TRdZItQ/+3C+/H5/aGKSRBSK6oX9ZRc4D8qp1PrB04TBWVNoo5M8+7c9UNudkUeCM2ubqMGlWlyKZBOGwdNk93SBBhHHX4eoi56GcdhMeX179GtQZ0wTK8Fe68REqd0iJrS09ZzOPeuamCHKDugaqE7+0WRU7cInxCQAReAtB7eg8rM7UfvDY/IEj8MqIrbV7/wd1Z/citqfnw35xGFT0OSUK1+5jvSqM/3zFVBKNkc7pgM79iwVvyOUOeZdi+0NZTvoB8it4Gzrv2u3dQsn6Jpp3yF7HBhGHC/MKykDh7oHOPP3yD4kFfliAk7N5qoPtYvUKKUjXS2LI2xF9ueff46zzz4bb7zxBuLj5Yv6d999B4fDIaLYEydOxKRJk/DYY4+J1HFOQWBUKCWM2nuQwdmXNZMwZMJRDTaO0aATQiLUbbbUC4nO0n7GQioUZdRIDhGxVt2lB2fECVMcqlM94pRbjElFh3zEF9WRx8aEtk9od2RgL3kycG+hXfRiD9QAjWbkVUOQfFcc0pNaty8o/ZpqMqlMQCy/svlooRqhLlOOm55K6x+KMJNgVeuyQ5FmrB53NYYE4RmQGBv6Fk7JsREolaLF8kVrohC1DqHBhPW3Fz2iS2OomxChfr1qlNhfNLCjWqoQeqVtnya6/SLZquOzP4MsT2TDYW3TyIboYa24ItOtQ6kbDBS1S4A2IcPT87U+LUl9dxXu9+ktHSwlFVbUWJ1iAiw9ufH2dPT7NlApZdmX0/h2pvpVdSJEUiZhVWhspZpe6RsRMx2Jt8h2KbW3+j7j62qhjWZETL8U+gGTETnvLhgGTvHJHqD3mef8E8axp8IwfJaI1nm7aQeKS/U+oJagjfQapygfpVwTjgNr4HZYhRO7un2Ng6fBmNIHblutZ3JHCEiK3rscosMDHce2Dd41520LTSpS+RNF/9Vj3ec7afXQKq277Ft+arN1sO/4U/TDJsikzr79T3GfHOubGscZx8tlC7SNaXt3Nei7Og6uE+VnHaFzRA90KrkymsW5Q5NoVK5B2Nd+DfvmhYpnwglNtrCsm4zsGh0lwl5k79ixA/PmzfN5btmyZYiNjRUp5CojR44UwrusrP1akjCdE7e9VrTlcB1aLwT2y1VzYRoxG+MHt1+U1pQgp8hF2EMzqA8GdYaQ0oQvOWEY7rp0Am46d4z4AUqOj0ChSx5sOSvkWXAySCPIFK01RluMzKBMeTJwx6FSGJQoCU32NGeA5iqS09iqdPGwwYhePVpvAkaTKkWu2CAi2bJ4LnLIx0FqYt2PpSyylUh2KNLFFXfSGk2UJwsg1FA2ALUGsxrlYz4UkR+KUNcufFKsP6WGR0y71Od1DbUpoXpF6v/dji2yGsNxeLMwYvI2pFJbCblrK4QBVLtE0dPkiKI3lOariVYi/20YlVN7W3seB9mqyTNR0FM2rPKHt/lZIAjRqoh31QgrWA4rUWwS2DSpFsh1aeehps9diugSrsJ6IpuMNGkiRKtv0Iu6M6DuG6lwv2f/1p8MoIwT86zrG92PFPE0TTpHFuNKazLR77cFBoNq2UhjqC7plG5LnUBc2dtEZNB84r8RNftapF38gNd3G4zIE29G9OWvIPKMe4XhnFi3Q+va/PxtcB6nD2tUzKop+UIIhniCUUT6f3xKuLbXfHUP7Nt/h33d17LwM0UJ4dcUVJoigh+S02/v9s4MlSBYfnwS1t9egvWvN0Jizhcsaj96fd8J0FC2i9KKkTIyRIlFWS40pmhPZkhjqJlebdXto/4x4zi4TkTaaRt2JwIW2VVVVUhIqOsVS3XX27Ztw+TJk6HT+dYwGY1GIbSZ7gsJGXEBVmpDfreOxMwTZuLiuYNDHq1uiuhkuQ+t0W3zzLq2t8gulOLQPz1WRFbJjE11nLYaZNFlK5eNoFyK+CJRTnXbTOsgozA1YlQbnVlngNbMwN5VIEe1DkvyBE2vJiJTgUKp68HUZKsR6txa+Uc0VYlkqyJbdc0PhYmYGrlU293FR4XO9ExFTbmv0ir9OVsp5CRrlSywq0ugiesJ88m3Nag9o2igJjqxU6SMW45sR/XPL3haCelE/2JqhRQjpwXD3aaDHdpeakq0mrZbH61Sy+yuLGqbdagqFgZ1BKUIi+dKssVkbKB4xHCTIjs44yfa7rJo1XmisMGipn73Tm1+Qm5EP/mY3J1VIRzHqa2X0yU1GRH2O9HQo59I++xskIO5qCmnKB8JT3LAbmGrMELfZ5ynDjmYyKfneG9GZOsHHi1Pdjntnsk484k3Q99b9ofRRcYg5uz7hFmgabo8kUfbnUo+DKNPkM9hu6XdDBbrMlIa36Y6at1G10OHFVIIuyuILg5/vSGWKx7XlIp6efumhXW12Irwawzh6q5k09Q/tjs7jm1/+EwMkHlfe0fRnQdkTwryL/DORNIPOtrz2HT0hQ0cxeujdhqQ2sCI1Bu3ywnLD0+IiQnL/EdQ89HNcNJEVjchYJFNKeKFhXUDo9WrVwshPXWqbwuNkpISEcX2FuRM96N2zddiAEwssQ6BZfCJmDaqYWpTW5OYGOvVK7ttLyb1sRbLP/IFrjgfkaT+0EQlpfgIKlupHHkpcce2ug6YkYVd75RoMdZbs7MQhqEzPT12m0rzUiPZu2rka1hGCCLZtC6edPHacmGi0xSqKMxWRXZC3fGTGBMRVFS8OdQ+m+VOU9tFspW6dLV1XWujpbYl74m2eJQSHnnK/zWeOqymjHeAJ4MKZRsUfPGYSC8VA/Vpl3leE3XZqlFXG0aQVTdfEj/1HbkbDLraYD1oMF3z6W3iPu0zqsuUXbzdARsg0TnjaX/WlMhW0iCp5IKMt5pdN8WngWrVVdFK14etB0pEGngwkWzVO6EpqPyEfA9IWL/6/Tbc+NxS3PbyclTU+BrBqY7h9J2pt7pqFOdU9qW/jITOglp3K+5njPQxRwsWOmaFQaDL6UkBDwS1XMBfSrU3tG4Rx14lIoGE6ZgrGxiK6VMHIPLEf0OXmNkwrV+ZtHIqE0BtLVhEungz+5/S4/XKeqkTU6HAvu5bOZVeb4L51P/AOOk82b1eo4Np8nkeE67mUEshXEqpXGuh5Tj2rw6qTWdLorG29d+K+8YJZ4jvTBMewRyTrYUcxMWEoDGyQT2+iboHUEZSZDz0XgK8MUTP8nYYF9u3/lJnLGiKEq3nbCs/Q3chYJFNNdcffPABXC6X+Pvoo49EBPv4431PKqrZHjVqlIhmM+ENRYb99aCVaitk90MAL1bOxYFep+DcWS2fyW5tmq5quOQobV+DB3uJLLJrTUkwGRo61salyj/+RkeVaO3jVHpm2yMSoWukhowJjumj5W28ZHMu9JTGpmveAE0dnOU642E26UJSo0yR7Fq3CRaNudn+tzTAV2uyqfY6KkLvcSVWI9lFat9tIditIUkXL7HL12yqHw816qRRgaP1DuOiPzCl6Wm0MM/9l0dI+8OTAt2BkWzrhgWQbLUi8miefUMDwaGNTW0Hka2mijd+Hfa4crfBoIucmuUP0cE0Re7PrQqWQN3fxW+N2yUGkep+9YeILIqsBndAk1D+UsV/WZOFZ7/YjKc/3wRJcgccye4TgMimiZWTpsjR1S37S+BwSqisdeD3dVm+76NJD/oebhcsCx5FzZd3ieh8Xcp85xXZxuGzRMoq1Y1SS73WICaiFKEcaAYMma2qGTrkGN8cJKojz34QEbNvEO2+goHapBFSoSx+2xIRLXc5xDGudgRoDC2ZuoXQ2IrOP/umH8R9mpQgXwnT2JMRdcETiLrkWWGyFWiWomj15pXS39pxaO2CR4W5bvUnt8AV4m4SNDazrvgYtd/cLyL42h79YRw/zyNk7dt+bd8WaRTFJh+D+r8jcT1FFwEqYwgkw8WTudSGE9BuuwX2jbJfQcTMvyH6gidExpBUlh3y/dRZCXgkf9lll2HTpk2YM2cOTjjhBCxduhTnnnsuevaUZ40XL16Mm2++Ge+99x6uu05OBWPCF/u231D1yf+JC4+9Xv/hmk2/QOd24aAzGSecOhv/PHt0q1ogtQYSKEWQa+BqCnwHMW2Npkoe4Gli/f8YxiUmweGWT0GK+uuq5QGERhl0M61nyoiewt06q7Aah0tdwmynKQM0qhdSMzAovbtXcnRIyhtosofIc8vioMnZbyprcMlRK6q9Vk3PvEW2hQQ7IkISzfaIbJuxzSPZh2sjW90qSp3Ao1Y/9V2y66Mll2ZxfnVMJJsckW075BRp89QLfAY/Szfn4u0fdsAVpdZCF3SoyNbGpLRJGy+55lkWhuZTboOh/6R6vVrzg2qHKCLOTZyT3qIsEPMzZ+4On8ggRZjVPtb5pbVYvbPp/VJZY0dppc3TKSMQKKtLbu1Xx58bcmCxOX3Tar16DdNgmGqGRf9pja7JaH5HQ6mqkec+jKjzHxf9tFuL59gMUGSr10SNOdZvf+zGnMbp2Az2eq9VJ4vaof2dJ4rds/myu2DPr+ZQ05T1fcd7jEQJuqY1lknUXIs6mghpbRkf1Z2Tk7q8knbR8i2U2FZ8DMe232SzTjLtm3GZmCQ0jpojf+S+1c1mpoUqku5S+qMbR5/UqB+FVimRag41c0n0tG+j9XfsXy1PTMSnQT9oqmw0qETgnQfkbkPhTsAiu0ePHvjss8+Eg3hqair++c9/4p577vG8/tBDD2HFihV45JFHcOyxDZufM10DGhRaVn4G29ZfGq2Vc+buFhcejUN+vXz5Vz7pt7V75F6sW4zjMX5Ix7aioh+iaqO8Do4Sufdxe0CpfRShJszJ/tunJIo6XfnHybFvNXSSDRbJAGOS/APEtB6KAE8cKu//xZtyYRzetAGaaHlCrdc0elS6zejVo/X12AQZ3RGHbPHNzuCrUVe7LgpO6JDilSpOJCiRdSorCIU4UyM+le4IGPVa0SaszUS2TTE+K81pkQEKXWechxXH4mYMdgg1yi21YyubBpEHyYmIzGHQp9e5elvtTrz70y4s35aPNVlSm0ay6TquCtSmop+eyBftmxD21xVGXTRArWfU5d02LBCkkqyAamyDaeNFdeKi/ZtG63F835tVLqLLKj+sOASpifKSg4pLOKWAq54bzUETf9efMRKnTu2Ll/49A2lJkUJg0zXKG6NS4kJovCKyFD1tTDzSORJomntbQj2xgxVfjSGXFsjt/wJBTU9Vj4O2RO0/LrcmbNu+1K7SLM9EU7PrFaQ3QXM4s7Y22p8+WMj1WqSZh2ASQJ3Ag0GeyA5l/22Ktjp2ypOkpumXI/qCJ6FT+sDTtUyUMZCBW/EhMeZz7F7q6VQQapyHNsgtGFMGeKLQrUF4mCju423V4tapCGn94BmeSSGDUkoi2uF1A4LKSe3bt69o0UU9sW+88Ubo9XU/KK+88oqIZlObL6ZrQqYWhd8+CefWn2Ff+SnKP7gZlb+/0aA/Zd56uVXDDnu6cA0320s9qR/03kh7qej1PGji1HY1OWsMSYkka4Lom9rqz1QiZ1a3AUk9/KezUm1ttkuedbQrrWwOOnsgJTE0wo6ROXaMHEmhiJQ9rnedAdre5Q33myJYK4VBlyYkpmeqyKT2W4ftSm/0ksZFtpoqXgk5KkYD8PrHDZHniA5NJLtGdt6vlMzCHZnWM9RQi77YSINo4yXpI+T+v2XBn48kiITZm1YHfa/hgdeddUC6OA22qP6fiJ9+js+1cP3uOrGws8zQpoZjcjq0W2TIaGlQ6AVFbSmivvtImZxWqzPI/XVDKPh9eoN7RfLrhHB+cAJDMY0LSGA0c4w5c7bXDZgV0bpim7w+E4f0QIRRh7ySWuw5UtedoqLahlU78j1p5AdyKwI2PfOmX1oszjqmPyIjDDhxkjxx8Nu6LB9Br+tDNfyXwnzCvxF15v3CpItoLKWZ9ufzX23B/726AvOXdy1TqaYI1rfApWY9KBNHbYkwV6R6bmrpVdt27e8ISTkH6teGN+lNQJHKVkaLSUB6PluZjGotLWm15w/1HDcMk4N7oRS5srGZW0TvjcOPa2Ampuuh+CYU7od16fuwLn4btd/9L2S15v4mE/S9R4dsmZ5odhuUCFF03KVc+/V9ZBNBQu2hTseT6gcTzgQssouKikQtdmMMGjQIERHy4O+nn35CdXXbGRAwbUPlwe2IqpXFcpkrEnrJBs2BFcj+43Of9zmL5YttTfpR2O+SL5TFO+VZqaodsnAh8ThyaOeIyEb0kH9oI2wl7dZmw10pi+wSVzTSkvwLNar1zVZ6ZcNhETc7HBlIZWfxkDI4M15sU3LyXburCIZhx8mbfOeiBgZo6iCuwBkTMtMzNXJF6aHqpAr9wDQWyVUFYa5VjliPGehbf0rO9CSEC52tNz+jwRMZkaip6aGK3DdWl+2GBtYoedKjJa63aq9ccqf17oldH9qvhWW11F5AfkwRy3bslU1ZEpZfnheTOYa+42Du59vCaOX2uoHlkRrVmLGwTSJhas2x3o9R0oe/7BYR9Sc+2YidRyo8okQVKaHAmb/bbxTdU2dLfczt8vWvMWjfSaVyJpIusWEkO6+kBsu35qG0Uo7gqu7tzR1jol2TaKkmpzBW1dqxaod8Pp04uQ8mD5ejx0u35Hlef/TjDXhj/g78uEqeKMvyat/VmrIWioKXVdmwL7tOqNHEjHHELDFIpeif+fhrEX3lazAMnuZ3Ob+uzRJ13sR3Sw+ivLrt01jbAzVaHKgYUI+V5tp3hQLqS01mfm3tq0BjF1VQBjJ54BMtbmU0W3iIuCVRC64us7WotfIeU6wWIK4LSvDEMIjOCY0o96LU6tYisqaUFl2GkXJqeH0oqkzYVn8Bp9ekvWOX/3K01qBG6EPZtq8tHcadlLYvOcW54W0+SMabaomFK3cXwp2ARfZFF12E7GzfdNuHH34YxcUN0wyeeeYZ4TLOdC2Ktslp3lsxGIen3oXfNPJsuaZwj9eFR0KsQ/4h6dFvEEpj5IGTtH+VGCi5tsitHHaZRiEqIvRppy0hqWeaiChrIbVp3aM3au/rEim6gbO4CtWp5+nq0tmsbj1W2QY2qMFlWgcNVI9RotlkgGagaJDe5GMipCIp+y3XKu+DUIrOlESzcNd26UxCfDUWZVPd5mmiKynWhIx666DVahAXbawzP2uNyFYGI07oUes2ihr0tkJNGa8wprZYyIkfbhKM1KKmESjC+OaCHbjj9VV44cdsYXZHP/ZtMltvq4Ft00LY1n3jU17joOuhpVK0F4uafZ1PFLva4sDOQ3XZQSXOSLi1OnFMtEU/b9WcUu27rEJiTBWPbiWC6xGnSmp2a6HfC1eWImS90uXVdEVhUhbARJG4brscgN7oSR1WtyVNFNzz1hq8vXAn7n5rNfZklUOrpHTSchsT8DTB5FTWTXWTXre7CC7JLaLS1HZRNU6kSZH/vrUaN72wDIVl8vIWrjwsRHdOkRxQ6Fkv4yQYqLf2uEHyhNCGPU0fp41NLhWWWzB/mW/0WhXcgUJR9KY6L3S4yLZWNT8h45bqXOgDyHoI6fq1ocgWJR80MUvnjZKh0+x6haguW/UQoUmLUGUnqhMgrYn6iuwfmjzVGaFN7AWtUv8fipRxGh+ICWid0ccU0Rt971E+j9WJROF0rnQDCNWkrXpstbTNYJNml21w3DqpHhuA3o/Pgfpb0NX6pLeEVlkYL1q0CDU17dt7mGkb6IfVXKQMhvqMx4wxGZhwgmyuEC+VwqmklDrKC2GEUxh29ezTF+ahU+F0axFjzUP1/EdhcFlQ4IpF0vhZnWZXpSVHI99VVwvaHtSWyD9q5e4YEXlsDHdCXW3VXkdPmKMi0SOee2SHmqmj0qDTanAgtxI55S7hzkmo6bwq6iRMsRQjDMZiIkPntJ0aHykiuarIlBpJGaeWT0SZFCWOBX+DGlq3QqWe31We2+KBsfpZFSAhr2kg6NvEYRzJLXKWJRd1amFC6JWUM2+2HyrFvW+vxp1vrPREI7cdKoMzqkdIaxNVKFpS892DsK/5EvYN82Fb953nNef+NeLWOOw4EVHyhlKzaW9RKQLtRwlauMxJbbKOdFx4BIciPFVx+tGvcoS5T88YjyDTqBGGEEWypYL9cs2/wezpjetfBDRTO62IforgUXsi9bu9/M1W/LUxR4hDOr8pW+WT3/fIETfqfUwtwho5zkSNqcMi3qdV2mVt3icHDSYPk8/R/mmxnmyW3GJ5rBNp0kOv08DmcGHB8kMekZ3WyjKf0QPkY2D7QfmcDJZPftsDu1PCsD4JOH16P5/vEwg5xTW45aXluPapxXjhqy0Buaq3FyIqq07INCMISIwKcWSIgDap+drl0NZlF7a96RmVNgQodENVl+0xHQxhZoCaai3qmVv6+6Vsb21cityxQG17F4L+2z5lLo20oNMmZHiMailiaz75NjmrwW7xeIeEApey/+haJWqpQ4QuXskqC7UjO/XzVkpxDH7aiaklByyymW5Dbf4RxEqVsLt16D1WNibIyEjFYZc8QC1c97u4LT0s17sUSAlITojC+FH9sciu9JQslS/Eq3UTMWNM50gVJ3ommpHvklOcavPbp06NJiMImymhyR/E3j1j8WH1dOHE/k3tJJHa3Bnq2MMNmugYq0SKFlM0W0kZJ8dUSUmX9q6LJWfxAb3kiZlQRrKJ/GYcxlV3cxLZavS3PiTO6JiWNDrhRt7SKK0aNS9xyOvWK0Tp8f5QJ48O2eM9Qo5+jAPFSf1ZJZeIZHqbQBF2hwvv/bgL2UU1KCq3CsGlUqkPrYCl/Wbf8Sdqv3/YJ4uATG8oykbp/nKGhManX7DKrsPyhOXQ3gmIV5zcLZE9QxpBVhGp2HR8a7R1xmZuN177fhuKK6zi+LrlvDHQKMLbpqbyh2g9HEq6pb7PGL8D1Trzs/zATM+8UsV3HS7D7qxyIXj/dupwPHPjNBERPlJQLf7UiE9jKeOeCZu+48UAnbbLfsXEbGgfuXadrsVnzJCXQ8fU3KMycf+VR4mOGcTPq4+golqOWKW0ssxH/UwSux//tqdJs7X6UFq4mCQBcOkJQzBmoHzM7zhU5mPiVh8SNwtWHMK/X1yGe95aLZzSqa57075iHMyr9HkfZQis3JaPnYdKUWt1oL3RBChkPdkJ6cNa1Z+704nsIiVd2Mtxvr3qntVJN11y6ES2uB5p9fLvVwu3m0dkK9ufRG+orvWubNnoTdeE9wddH8wn/AumaZcg8tQ7hOeEvs+4kNeGu5Xv01zP92Ch6L93eUWokEgLUMaJwezXpE8vulxoRIZFfc+ncIOb8TKCvL3yrFOuJhVpqXLdKPVqLkiSnSS1+5aIAXF1rnyhrzTSzKEGkRF6RIw/TYhzNcV1wNRZnarPs0GvQ5lRvjjZ89rG+bEB1bLocUc13sOXoLTEdfb+eK7yZGEKNWloXSokE1rUlHEaKLriM+WUUskJ5+5l8r6SJM+PNkWyB4ZYZKu19s05jEuedPEoJDYhsl3QocooHy/++tUHgvpZaj/utuiRXV9k762KFFEmau2hmukEgutIXap4/YmoX9YcQUmlVYiMv88bjseuPRonT5F/3PPV2vVWDrxIaMj9Uu+DbdkH8sSGRofIsx6QBz8OCxx7lnkcVanFUn2jMeJgvixeBmbEITFGFtnlhpSQ10J7Z0tQGqVqOrZqe74QX+Qkf9M5o0W2hifLwK20PKsp9eu+3zJHXBKyE/y+rvb6bW7feIysvNJ//9ggZyXNGJ2Oo0f2FN9DPWepZZ86uGvs3PA4ritiPL+kFjVWp9gu3q24xg/ugTsuHo+n/zENF8wahOR4M0b2S8TQ3vE+1/FAncUbIzbSiGmj5EmHP9ZnY92uwIXHjkPyedy7Z4woN+qdGiNKSijavjfbf30qiWlKsf92yQEhrgnKZFGNFldtL/CalNmOxz7egDd/2IEnP9uEJz7dGNQkQCjwTMg0E3XziKNM31TezjAB0Bo8E01+hC5lx1CpwD5lkqiBuWArrn0i/V7NJAlhZgBNgNSljLcs+KFub9FTPoSTCuSXIiZ1mylNInQJvWAcMdtjzqdeo0IpXNV0f/UcCBVaJZItWqmF4HqvotZa69IGQ0OlUPWgaLxn3yuTneFK51FCTIdiL5VPYofZtzVAv6NnoUYyIspVierdq+Auky8cUmxdpHr25AH4yn4Mttgz8bFmHiYNb31fzFBjj5dTJfXlh4OKnrUUg1WenTPENS2aKbVPhUROR7c8C2dG9E0UNc61NifW7yEDNLk9jn2XbIDmri2T23FAK0zAMkOcOq224tpRHeOpRXNTnWn9Pt3KzC6tgyp+6qM6jBdqlVToFta1uavLmk1NDxXU4ogorLB5evwG+gMrTGjUeux67qo02KeUYeKa04ZjyvCeYrupQumINdon5a6lOHb8Kfql0gw8TdDQ8RN55r2iV7dqjENdAlTXerUnu8+6Sm5kF1Z7hBlNlhCFagp9E67zraul7OMRVt8rdbunTeuLDGUbqb4ReVWSZ8DaWsFPEX0RoaL2WI0IHo9waqZmVJ2MUQdmxRUWbNwrT2QeP6HOBEqtiy4oq4WuR99Gaz5Frbi6bRQxfqRQzmjJTI0WRoXeUIZRrFfZD50n5x5XF1FUDdJay9WnDBfRcm+X80BQBTGJf4KMEYdkypMA3hFpb35bmyU+g9578ZzBuO+Ko3DvFUdh3jR50uGPDdn44OddIiV+7a5CEclXHdQpU2Dz3vbtPa86ajc1MSd8YfL3+dTZtweUruzxAGiDyQf6nVCFsrae8R9lMTz12SZ8t+wgHv94A44oRnw+orOyoMXGj0IsUh9q6oddL4OotagTXC0V2WoGlyeS7XU9ac04T0wqOKyi/l0bZPQ+kOM06PVR970yKRnSMgzFtM9F5nYhwqnUWuvr+XD4q8u2Uw/yeuOgcIJFNiPQqJHXaF9R2C8jCVv0cv0j9c+OqZVFtim1bkaTUvQmnXgytvW+ANdeNFMYM3U2YtL6iB7U5Jge6oGsPzMkgyS73EYmNf2jlBxnFm1iiGmj0tqkfRIjQ8clRb2IJZvIAG2KiKhSyi/VBqnmS+QIT3Wy9ftTtxZyF6f9m2WLhTsiFnDZPc7PPunqbgl2yH261Uinv2URRxyJTaaeB5ouXiFFNukdEApI+NLRbXdIcCTJItupRKebQyrLlteVTGjq1fZSO6zyaruIJE4cktJgGx2qjawzsmlp7V95HuzrvhX3TVMuQNRZ9yNixhVCYBOGwdOhMcfJzrY0QNNooPdTi5ZXWivqZk0GnRC2qsjOcibUrWMIDXPq6rHl9SQHbkqnJ8E4e0JdVFg1WyworfX0oW5tyrh6bJOTbGNmXZ5INg2KG3FWpzYv8sSTBjol5Z0mVWhX0iSld5u9nso5S1Fp1fxMtH2rZ5YlzjMaROsMHiGSWywb1wVq/kctuO65fCLOPm4g5ijCOBTMUMzWKNvAFYBQoAmFbQdL6ZDDDCVbx7vW/lC+LLpIfL0+f7vIZKDSgJ9Wy5Mol54wGLMmZIj30+TCpGEpOG1qX3GuLtqU65mUufzEobj/ykk45Wj5WPph5eF2NUnzOBI3IV5EmYbbJSaKVOHVLutGEWNq42WvbRPzQhG9p/ODTM/qZcfQRAmZ9RF0SxMiPu3FhPGjq8UlRWr6PdXR+otKtgZdStMlHcGmi2uomwSVCNBktdJGtTXXLrn+XduCFGyNML6UQtTSra0i2WKZahlRiEQ2TW648mRDWV1a4+3eRIcEnRFS4QHY13+PcIVFNiMwWuU6UGOi70lMM/Y9Z5yJUlcUzM5KRLll85fE3r5tBMYN6oFr541oNL21o+nXKx57nT3rDG/aEFWsVUhmJCU13+7iPxeNFwOXM4+RTTuYtoPcgmkwSrWc+ZVkgHa0p52XJ1XcJQ82E2L9C9yWQsuUUzE1qI6XXUjVFiEqappbsStWmKQ1FslW6z93Vce1yjymLl08yidS1xbQ96e2dURprGp8siugNDVP665ew3x6LVN9KDmJq+KEJvxU1GvRgSraVhq59o9MuILEVZqNmm8fgNtWLWr+DCNnN3gPrZNp8rmex+RGqzXLaere7M2SU3dJ0NCEiyqy82r0srETGZWFMM3QO1pLUWyqvyXoemNSJve8RXZ+aW1dGp/isdESnIc2wrr8Q3Ffl9p4yxlNbLJcl0mt5Kr8D4ppECa+Q0KaiLxQNsCKrfJ5cvx431ZGaiQ7v6xWbH+P+Vk9YebZLsJITd4OeYqxWTCtuAZlxuOKU0eIThGhglo+Uso67S+aEGmODUrP9eF9EjzZIkTf1BhPJJuyPd76YSdW7yjAGwt24F/PLxVCO9ps8Dioe//m02/RRXPqWq7RZIb6vjkTM8X60XJJ3Kv8vi4Lt7+6QpjRtUUquZqG664oFD14/eFU0lSpHrs90dBkjZqaHeL6VnmZqidBRoNsIzWLQS1fWLOzwDM5QwJRrbtVjdOCgSb81HZU+ozQp9/XXWuyg/79EqaOioeKmqpNpoihSJH3mJ4pGVfBoNGbPJ4hoYhmU3ab2vWkNTXZFpsT7/y4E69+t81THqKmu4fyuBVBLGpJazQ3aZRHk7kRx/1N3Ldv/z2kk8tdVmSfe+65mDx5suePWnrVf059nuk6uKzVSHDJIjs6teGM/Ogh6dgQI6fWEpVSBNJ7hTZtqK3pnx6HnQ75YmLft7pNZ+BVh+oiV6yo32sOGnCffewAEd1i2hYSXqP7y+lRSzfneVLGSew6960U9wulWCFi2yKrgFJRiQMmORrr2LvS58dFdVnOU+qI1bTw+qQqEbv9tdEiGkcCsiUz0W6Pk3lkm4ts77rsPGe0HJlyu+BQtntTqE6t3vVx1E/4ha+3CjFC7Y/Omekr5qgmVThOu3VwxyiDnuLghaNjx18i6qnt0R/mU25rNJqjHzQN+sHTm+yruuNwmUcQEarILqu21w04WxjV8R8BLvUMaMhZv7TSJoTVzLG+JT2+Iltt43WkxZOMlj9eEcck9dQ1jprbZI9h9fMaa+WjGj7R9ieoxriixi7Ka1SDLxU17b2g1CLEuBrBr+9/oEbO1NeJ3BJVZEd2eMaNOlmgOpo3Bomp5Upa+bjBPRr85pEpHO3zn1YdRrbigm401A37xgxIatQ/5fjxvXDhrEHC2+D6M+pSr+k6cdx4+bf0x5Xydt2yvxif/L5XmOlRKQ5lEtSHzNKozVhTUL/zrQf8tx0TkyZi4sotMlv8bg+l/KR+u7j2oC4iGPrxr8tTE+0rWuh8pf1K17lrTh2OmEiDmJjxjmbre43wiUgHg3PfKlHyQedxY73Zm4POQ+pkQI71DqdvyroQjRQppgnQIDMAxISpyy6yhkQE23uZrRDZlFbvzN3hs+2CRc24CYnIriwWv5MU9a2fxRAMlPGwbEueODaoA0OD4zZEZpeeeuyeQzydIBpD32+inK7usHrKwbqtyJ46dSomTpyICRMmeP6OO+64Bs+pz0dGcq/frkLOyp9h0LiQ50pAen//0dQpJ56EtTb5tQPafjB2MUFIA8uCmOGi9RjKc0LS4qEx7CV5HodqNWWV6TwcO1YeIC7bmgcpPhM6crqUXJ7Z63W2fj4RoVDSO0WOLm2uTlFafdTCfmCd53WXYupDQp9EhHe00Rt6nkQkmZ/ZEwf6GP4ECol74TzdTuni3iKbBoKGoceK+46di/1OerlKc0QE0vLn65CUKIwqssmB+dkvNwtjpxH9EnHd6SMb1NHSJIkaObfEyAMJV3Fw572oBT+8Udw3jT8N2sjGM1MowhRx7NWIuuR5v21LyLl6o9IDmdbZR2RX2aBVXIPVQUprUa9xFFWhCDBlb6gu1mQG6U2q4nwvekCrDr1luXC7nEF/ruPAGtHTmtK1o8571BNZUjmcX4U35m/3CMi6ukz/vW3Vnrdqe541ioCg7Kn6+zw5NkIIS5p4Ka20Nmp+VmekVlerTsKcSE9quzZ2gaKmwNNx3hTLt+aL7UjXivp14XSNGJQhH6/fLJG34alT++KFf80QIplM4k6Y1LvJ45nS4Gnyin4/vaFoNp1fdExR67APfpGvnSr1DbjoPHr68824+41VwqTLH2RW98B7a/HsF5uxP9d/xolnIsqPIBDO/urkSb2SErpOvLNwJ575YpOoRac/Kp2gdQlV1F0VKxSVDTUeTwLlM1RUczw6p2kCWTX39O6PrhrAUTZQsLWvjr0rxK1hxOwGrQgDgaKnL3+7FX9uyBGO9Rvr1fGLDAC1jjrI7aZGsUVbKy8X+daKbHHdpPISUY9d1/awRaUNRYdDV48dnxp06ro33pNXa3YWeibd6lqpHWzR9b4+ngmKACa6NFRW1Xd8WPfMDjjH6YEHHmjbNWE6BJfdisi9v4r7BalHY3AjaW/Uazpr9rV4a+0uHDVaHhR1NQb0S8PmHX0w0XQQjl1LPIO2UGMpzgENnav0Ca12nGVCz6gBicJFm+p4yTxpwvTLYFnwmBCcR2LGIqs0GcNa2Y6nMfookezDhdUwTDoG9vXfwr5jMTB5jk/ELduZiKSEpidoKJpN7YNKogcirWgnHPvXwjha7m0fCJJSo2eHATVuU7tEstU0dxJzhqOOhm31FyLyQyLaOzWP0nlrv31QnsFX0PUeI9ICaVD85vztYgA3KCMON541yidN3BtqUUWCvsLUE5Fegi1QRM9digbrjdAFENWgQYMmsqEr/cHcCjz5yUZRM0lR9/7psR6RLerUnRLsSYPEfRpsUH1yawZUaso2oVfq4lRxoxpieUMDdNqG1O6JXO3NxkgxAUQDX9VALFDk9mVyzV39gTlFsl76Zqtwgt95pAz/u3oyTD36gYb+/iY+SZx5i2za91SDTxw1LMVvFJi8FEh4UpQv3k8k27d3eB9PLTotm/wx1ImPjkRNWVdT2P1htTuFMzhBNdRREb5CmBjZPxE7D5eJ+nWzSSdM1WiC/NK51EKn5dDxMn5wMtbtLsLv62VxRJN0lFmwZHOeyDJRBR9BWRSqAdu7P+7CQ3+b3GCCZOHKQ8KvgaC09gHpDc8jEpmu7G1+OzOIKLbbLZy+tVSL7LW/yUVdFaTbDvj2IT9mTBquOKn16eWeiGCIRbY4Xj0t7DJ9nl+1Q86aO0rpSkLmngtXHhb1/PQ6XY+odIUi0e7actR8eTeizn8soGsLTcK6CuTaZIOfVoTNQT3ryZDN23iPUtsnKT3ovQUpTejRhGp9U8sm10/JGKxfe686ZjdVu98UzmylBVyv4c1GYhvD29hT3Q8tRS3bUYV7S6DrLrU8VLOW6NpIUW3qliAmYU3RohyKJqmCaRFXH5rE8aTaB5gFoEsdJAxFg/1t7iq06AhqKtXWZrPhf//7H44cCW0rEqZtKDqwGybYRf3wmDnzmnwvXRxvvuxYTB8bul6J7Qm1Yllpky9+jv2rGq3rai1uJW3XEdm1Uuq7C5QeOV0xQFu8KVfUJEVd8IRoxfS7bqZP2mmoyVTqJCmt0tl3iqgVJidOR2muGNSoKd/ZrqRm/Q1UwbrfMFi0kpKKDviN8DSGx+gNJLo07RrJLiyrFW081D7S5PDu/ftiW/WZR2CTiZH51DtgPuHfnkHykcJqIYhuOHNUk2UWap/xXK0y8MrfE1xvbrUFVcZIn1rwYKD6t3vfWClc7altF6V1qoMuiijHK6KuSJ8m6thosqe10WwS6c7Dyrr3myAitWp0cYhX6ykVikp6sgzI/V2po1YH2QF/Lg3MVdMgP/WMlEpMApugCaKvF++HVnUBL27Y+UEMpO21wsyIRExuUY3YnpTy7N2ZwV/qO5nMqZEoEZUno7NGeofnKunNJG7b0mE/WJHdVCT7q0X7Rdp8j/gIHFevNl1lZL+6dHoyuqsfkW4NsyfKg346/2ZPzMCdl4wX2QX1I9l0Pn+5qK51JqWM/77OV4gWl1uwQcnyUNss0iRafciIiqhvGEk4D2/2WztM5m3e7dAoRZ4mujJ6yBOeNCmQo0T1WoMnRbg8t8VO3v6Q2yvR8arx1FcTWw+UiskkyliYoHQlGdArTpzLdI7QJDJBQtE4+gR5WZWFHhHUHKJcRHKJFH2140AwvL1whxDYlGVx1cnDPNFU8gIIxeSE6l9Sv05Zp57zJVminjlYPP4frXCnF0JVpxcTG2oJWEtRS5xUQ8qWQBknNJFLE4inTpUnFtVsETERk6Z4xChty1qKq2C/8NegY6Z+1kVjqMEu+p7hWJcdlMj+8ccfceqpp2LEiBGYOXMm3nrrLR/BvWvXLpx99tn46KOP2tV1kmk5Fdny7FGZPgWxjdR/hgsU9aqK6SvSuEUNCKU1hhiayTPWKj/orZh5ZNqWY8gAjYyzDpfJgs9oFlGtwgqrj4ANNTTIVYVfdo3Rk8pXuekPObWMnMV1kaJvtfq+5vpuZ1dpoe87TtxXTWoCwa04luY75MGmKvbakl7KwDa7qEZEDo1qTfz+NcKVH0okV6SOafUwn3ybiLxQ6pkqfsgdmZg+Kq3ZiQHVOO6IPV4IWEoDDMbJVk0V1/eRt29L+GHFIZRX2dCrRxT+fc7oBtktamlCUaUDBqXtl2OP3AaspYgBpqUS0JuEKzA5TFOUkI6/xoy91NKWogqLiC40JmaanZRwWEUKZ/1WQ8TyLfKAs19ajGfCRESeaAKD+qbXG5Cq0Q0Sy1S/vUfp+UxRzvqR0Pqp7xSdpj7lmphkcV6pjreuQlnwaRN6eSZOspT2XcGYnrVHunheSa2oaa0PpdxTCi5x4ezBjWZyUN9rckGnfRtKB3S1rRkJ60f+PgUXzR4sMghI5BEUKauqlQfMK7fnY09WuTBLmzdNFkDkWE7p/CSkqZ6bshucLjcGZ8SJCU7qV07/J1oreo0lRWmPUvcsKaUuKp4Wf33G+kRTv1ks72+K2r1zx/G46dwx+OfZo/Hg1ZNEpJ/YdcR/L/FgEMcZuei7nKHtkazWY8emClMtFXVSYvrINE8WAx0HPZTfBapvV6EMJ71q8rlHTgEPSDApXgjBTjxtO1gishyoVvxf54wWpnm9U6IbuJ/7trzKbmEadT3jPmqnZjCLkpXmeqrXh0xxRUaNVg9977rjKFjouuK5hua0PA1aZPIov1dNmYg1x9b9pZ4Wf2qGyOH8ajH5SuiUMqzW1kW7crbLy6MsgACPGU10kujMQZPqLe2SEhYi+88//8TNN98Mq9WKOXPmICkpCU8++STee+898fqWLVtw/vnn49ChQ7j99tvRu3fXjHZ2N5zF8gXcHt35eluHGjrpKYK5yianw9h3Bi5IAoUu6lpIord4XA+OZHdWyJBOrYtdqgz8aTBbpBjzpLZRTTah9po9XFDtMV6r2vwnHIq5V76BZoA1SIxrWvSq5mci9VpZTn0jtUAi2QVOWfA01i4slPRMNIuBINVI0nprUwbIM94uh6f+T+5FDVGzLSLIXkZjZPSk1pZNVFIkm0LNBiiusntMbBwH1gbc51lEc2imv7fcxjBYKNL4p5JOe+HsQYj0k9KrDoopwketwAjnwXWeyGtLUDsoiJRHnd6TKk7CqDFDvx5xar28RQhzsZzsbUHV6akGdYZBU31SLWmwOH/ZQWw/JK8HpefSalBUu7zGWVcXWG9A6kkVV14nsaZ+j8bwNnET2yB9uLxuygBQrf3zNsei9GZigJLG39FQa0fVYZxadNVn3W61Lj0ZYwfWmT75+83772UThBAOZRRbhWq+vdPr6TPkDgpyijjx65osTz34vOn9RC04nf/kcnzn6yvx3JdbRGYKRTwvP2moSN8mflp1BDc+twR3vL7SIxjJ/Ew1ynMerOvMQILbY/Lnle5KQp0EO02azvbqp66SqfSJ9xakLYVSsNXPDnZyqin8iSw6n7Yrzu6jBvia/6WpmRz1zOc8Jp8H18JNfa+b+1zVRC5Ih236Hf3iz30e93/VF2DKiJ6efeKNx2hRZJsEnl1IGQN+RTbtBzU7JkBHdcqgcexeCsuvL4jHdB3W+in7CQb1GupqRXRYtHSsLhGivzXljepv5qj+SeJcoNIR+doij3f04vdNI8q21C4rreuPLV9zA0EuaZAzVKTC4B3ww0Zkf/PNN0Jc//zzz3j++efx9ddf44477sC7776LrVu34uqrr0ZGRga++uorcT/UKVeLFy/GpZdeirlz5+KWW25BTk5OSN/fXTHWyAJDn9w9JkWoF/Va+yC43BpIhft90mspCk0D69agXtQp3Zfq2JnOy7GKwzKJbGGUVGUV0RQyTmrLVnS9lZRx6ltLP27kGCrVVsK6YYF4fr8kpwQ2F8lWxQS5ImuohylFUuy1cAYoIlWDnnxXnHClrW+G1Vap+hRdU78//U54Jgh2LhJ9s9XosWHE8Q3+f39OpRg004B8QK/mBZEaySaHZf0gOZJDLvLCebuZtHFPJCepj992XIHwy+ojIk1vcO94McDxhyeSrUw6aMgozGmDY/9qz3toXRvrI+133RUTPDVTYrcSqfNXj61CacdEcblV7g9L39le6xlsBxR1UQfmGb71eIs25uA7pd8ytRoicZOpZDVQSqm+jzyJYVvxkU8tpXo9pQEmLX+vIoYp4tkY3j2/xf8qEyTO/atF+qgarfFMJLgkjyBUBUFHQ7XlqgCkqHV9VGMrtRa3WXOhRqL+bUHfnvK5QtkTlO5OApoimjPH9RITPGcprSr351aistYhyj7Iyfy/l08U7cvGKynnNAFjsbmEp8KHXsZq+gFTPOdx/Wgv1WN7+wCoUdOZY3uJbVqftMQonwmZ1uJdi0vQBFVrszo95Rdekwckjmj70G9V/XPa08au3neidRO/EZTFp/g1NO2wrbRD6xW4YFINRSlTKdKkx2lK5gJBxnwaZUKLygNUtBTJpFZ7FMkM9FpDpVWetlYNA0Sq8Z132Y2obfdz3XfVVKDqy3tgXfy2mOzV9R4L09SL0FrU7UbCM9i0dfvmH2H59UVYf39J/j6UyUVZEi2Arm2ia4RGg+F9E8X1ID5anhirqJYnNSjjR71mk19RS6Bjvc54MDjPB61SBuLMDayUoSsR8JU3KysLl112GfT6ulS3Sy65BBUVFbjmmmuEozgJ76FDQ986YfXq1bjpppswb948vPDCC5AkCZdffrmIqofi/d0VGrQlOOWUo7iM7tGjmS4uffv1whaHPKng2PmX+BGzLn0f1R/9GzWf3Cq747YQhxKJ2etI9UQsmc7JmIHJwuyL6tc27yvxzOpSbaq/AVmoUI8LITK1OpiGHVP3ok6P9bVyxKU5oU+DKRo800C0uMIGwxB5OdZFb6L60/+DpLTn8gcNNFTH2hxnYqOtwtpykoHchAnRq1xnFPXolp+fkZ8bOcfTv9OfuBjZv/HWQ/5SoGlQp80YLRxjhQHQh/+CbdWnTf6vZ8AQpPGXConHPzYoUey5denujdapl1vEe4we1/VFcGZvh+WvN1H93vWo/eaBgGo93SSM8xU39oyRIvq/t4l67PoRdRqQURRa30d2fbX8+BRqvvovqt+/sUnnZHdFgdi2ctTFt50audkSVEdNNelEujLZQp9HrVxU7MpkEx2/8j7QiEFmSYVVuLCTYOuvpCU3JbJLKm0iYiomsiJixLpZf39F7sdtNEOvDCqPFFSLiRCauFEFSmfAW6x6U2N1IFs5d4b1rTP46iz0VUoBDuVV+rjpq5F0mnBSS13oWvjkDVNxydwhnswcShefVS/qTOncVNZDGAbKIptqi6veuEK0ABS9eesZg9VanZ7JJTJp84cadafa5vpi+Nc1R/D3J/7CA2+tEmKEJmM+/m0P7npjFf5QslPq42mXlb0NtfMfQfXb18C+9mu0FLpOeyaavCLKahSbJoXqd6BQI9n59aLzFOGlDBPCsWdZk5/ryt4ueh3TeaM68AcClQCpbd0oc8E7e4IyHsgFnVi9U86iUlFrgi1/viauX81+Dv12uZV6cT9trdQsFcpaocCJbdOPqP3qHvm6v/pzn/eWLflcCbZoYBgxC+a5N7bYf8MbkWYfESMmKqvfugbVn9wKia6PzeA4tF4YglJbUTXd3TBkRovWgY7pT5V2XVNGpCIyQtZvdSK7LutN7fZh3/QDbBvmB/1ZIuvL5RQmajTZFQx6JV2d0s1bk8HVpUW2xWJBaqpv+qvBYBBp40cffTQef/xxRES0zUDt1Vdfxemnny56cpOIf+KJJ1BbW4sFCxaE5P3dlcqCXJg0TtHWqmffrukY3hLI9XSFVTFA2/Enauc/LMQ29Wok7Jt/btFyaXZVTUnM0WV0CpdapnFIoFJdL7F4c47cvsgrsthWUI0kkVNUI0xgTMOOlXuF0joNORa51dqAItm0/t7RLvFDrJEHXO6qIjh2/NHo/5IBDhmUuLQGFEkx7Xqs9lbXuUAWD7IBmlyLrKb/mSad4/d/qX5TNS8KBBLZJMpIRJXVOD3p2KqIVevA/aHWh7WkjQvtV7kvrCQclyc0EXH0OK4r0R099aPVkpHdQVh+fBLOvctFZJuEhGrK0xSUDUADUNqO5LxLtXdUm0oiMkPZ9v5QI8skOEhQkGGaCtVLkvusfUvj10bnkY2eAbP3IJWcbSlqSVwyd7Bn8qinIqqop7KWzO0UYzuq63Zbqz0RZ23qANE6TRWb9B2aMrujgT19V7FNyywiXV6tR1WN7IzDjvPUt+5T6rwpjbmxVPqOFqveUDTfrUwmtIdZYbD0V65vtJ5q3bB3Sjtt41vOHytqde++dIJfV/SLZg/CdaePwOUnDhGZDwRNhIr/j07yZCEQtjVfwbF3lbiv6ymLNeJwfqUQfXQNoHpxf5BPAl1HySRMNb8rr7bhqc824rM/98Fqd2HdzgIhrF/4eosQ1zQpRGKbUt0f/3iDuF+p1J8LYUUZIA6rx2Xfvu030V6sJYjSBjuZREb7pIurIlstefKGsgFU47/6yNc/jezQXpEvIqwk/LwnGIQoXf+tuE/X5WActjftLRbXMUpHnjku3a/5LKE6XasYR8yW79gtouSpOVxKJwLh1eDnnBXpxzShaq0SgRP7GrmLBeHY8Zfnuk/p6VVb/hL3zafejohplwrvh1AgJiq9WjlS2jd9dnN4v4d8I/QDp/gsJxjIzZ2uvXS9PPvYuolPav9JlNfUpecL3xHlmkiR9GCPWdVQT5sSfA2/NjEDmthUkUkgfr/CiIDPnsZSXnQ6nYhkt5Ujp8PhwIYNGzB5ct0gzGg0in7cq1atavX7uzMlB+UfgWJNEiIiOt+PdVsxemASCiP6oMClpIDqTdAPnIqiMZdDUl2agzRgoPPDvu1XaB0WlLqi5LTPTjRgY/yj1v9tP1AqIhfeg5S2gmaRaXBHV9Qdh0qhjUlGj9P+AfPR56Ni6BnCHIbck9Ufwqbo0zPGI7Ip5ct8ym0eky6qMWusntal1D5VGVPghtbTT7o9qEuXr/b8rgj3W4NZRE3MJ97sY/CjQpFMSkOk04oi2YFA0W7VKZ7EHIl380m3yNEPqgNvxGCMBp+qQZbax9kf1Gv0te+34fkvN3tEsmrORvXY9NnkgN7UtUCNZFNUgSKvlJquikIYI0U6vZoiSxMDATui953gU8dMUa+mRCSl1tPgmI4/2lZkXmMYeoxYjn7wjAYGdY3VY9c3iaN0RRLtlDWiRpl90lqVCCUZVgkhITlFdFKN4OkVQUVpx96TNI1B27p+XbZx+HGyuZreBMPw42E86izP+9X+4eT83pnoq4hV8m6gbASVQOrSO3pygCY5yE1fnRihrKH6xzwJ78ZKVGgfUjeTY8f28vwv9VlWiZh5DUxTzveIFxHJ1ug8JSHqdvO+RvojwqjH8L5yJHTtzgJhxPbmgh2iBZaa4kyTOlW1Dk/rLzUKT5lPdOyQ8F6w/JBHWJkmny/OHdPk8+pKP7xS2wNFqimrE7v9J3q8KehcovZ3asuu+qjnFZXI0OSaNzTpplPaZNV8fgeq370BNZTB9/l/YPnledR8+wBqPr1NNv8yRsI4ck7g6+t2C8d7tRabtm191NT2fbmVPsc0pcKbpl5cN/nZTIq9amLY2LWZhLLBS5jS5ItpxhVCtMJl9/h/OPN2i+CImLip11s9FJimXADzKbfXlUTRb3IT2Ug0waHWcEed/ziizn0Y5uOva1E7R2rx9+Ui+RpKjuLeE+nxUQ0j2TQZGXXB4/IDh9WnXCkok1AlKh0MGiobUyZ1yY8knAhJoU5MTOMXsdZSUlIi2oL17CmbJqhQVN1fnXWw7w8HygoKsPLrz+CwB2d/b8mW61WqIruXCzYNvKeNSserVbOxwHgKfun9L9y1Yzge+suNTdbMgAezqnmUbd23qPnsdtjXfCWeW2IbiqF9Ol8aH9MQinCQeRD9pKvp4tNG+xqptAWjlNY6a5U02phRMxEx7hTklcmpUiQSAomq9VUGkOpglgRJxJx/CLdOcpdW2zjVR623y9UFlpoeSmjQStFlStMvUtzcqf1N9BWvIOrsBxr0Pa0fxSYH42BMnLxbOml0BjEIMI491ePG7m9AJ/rwUtqaKcpjzFMfSnd/5MP1IhV68/4SfLf0QIP06OPG9WrgJl4f+i5Uv0ioxnsR0y9D5Bn3IPrS5xEx4wqYJp4pnneR+63S39wf5CvhcVnuK6d7q31qmxORNNBR2xrRd6NBfcQxV8E895+IOPYqaBMylAFqQ8FAkWe1dtTb3dlbxNIA23uyQU0PJkGvoqZF0mBU8vTHliMwWUrmgzpJ0xR1EyuKYVZ8GqIveR7Rl70otq0arSLBsksRLFSv2JmgtF+KQNHEy9+eWCQcuEkEqiK7qfr6jv59He2VadIntXWZMmoUnL43pYATJIrIMTtizj892TvGCaf7eCeomTL0+U1BabTEghWH8J/XVoqOE3R9+ve5o/GPs0bhkRumed5L6e2PXns0nrj+aBFpn6n4elCLMNUFnvrDR55yO4xjThYZE4EKR4IMyUgA1lKJxie3CCMq6AwwjJrrM2lF4pmuG5l+StLoefX6uONww5IhH+Hssnsym0gkCXHtdotMgchT/wNtXODmrdsOlIhJLbrenTzFf4o5lYjQutH6r9jma4AmUtl1BpEKToGOJuvFlYxBKodpDJrsiDju73J7znl3iU4WBppsU8oEaX84stXljGiToAhl9FBtNk0giF7UNaVwNeHgbac0bbcktn9z256ypT78dTfmLz8oymjq89vaLJGhQV4bc+t1FvBEspWabBXKGFInr0R2ZwDQhLRj3yolc0Pj6XQSLHqlZIi6/jiUieJwIDR5EW1ITY38I1k/FZ2i05TC3tr3B4q+kRYZnYFDv32GvpXrsb2iHGPPvDTg/zNXyCk3xvQhnfr7tQXHje+FhSsP4/f8aCBfrg8iN9fltsEYbzokZp6jpl/o12yCnEwd+9bAtnuZxxxJYDDhr+pBWGQdjvv6J4Vsm+oU0xr1lgktl504FHklG8QA4fTp/ZqMfISKGWPT8fOaIyI6Q0ZeCcr+VVPW05OiAjp++ituyFTfrdNplIGCEabhx8K6fj6cuxbDPFiOgnoPUlRjrANSmsdtvb2uAfQ5/dJjhQHO/pyKgNsmbVEiSdSLN5h1pXZIlLZKkyjq/+mGThO1eVTzpineB309oxaHar6WPhQGQ93PpN3pwuKNuTiQWyEGiTRuJrd0SgunCZOL5gyG0yn3pKY9cfTIngGdv2nJkcLUjY5BEcHURwDpXq6+SWmwZQyHM3sHXHuWwjjZfzq9bfdypYVWAoxplLan9YgNOlaa22507FOab3ZxTYP3mkYeB8vSD8XEhHnMHJ9BqfXQGnlwmJgJY4Lv4FCtix3WN8Fnmb1SojyDRatDFg3aoVNhW/W5XN+nYEwfCK1e66nhp+3T3PdQj6n80rp9Dn3D44xSKcnTgD5b9BgO0ouhra/N1OpMbS9FxzAdH5TOTwzrl9hpf7fnTuqNldvl39XjJ/Rq1Xr2SokWKd/FFVbkFFf71KHrBx0FY88n4a4pFynC3sek6hhOx3RTn0/n6PdLD4rrAx2LNLl524XjRCo27VdqbUqmbF/+uQ8XzhksltUzKUr8TRqeilU7CkTWSm5pjaeOXkU7fDpsa78Sx7Om9DD0qf3997TP3QP77mWw718jT+6p3y9tMCImngFDcl2N+l6lvIEi8MZGyiZovairAbVKO2qY7/mo6zMK0piTAMkB04hZ0EREw07p9jqdEFnUj1lHbbCaiZLSeeM9efLH+hyPoWhME2UMp0ztg8//2Cd6pfv0d9fHwDhwEuy7l8O5axFM3tc/L+z71onSPiozMqYPajydXR8Fw7Dpvt996HRR76xe9+l6Spj6jGzbc0lvgnHoDNg2/yS+W8SAulIc72u3Y9dicd886cwm14cmCF75dqvn2rB4Uy4ev/5oT/YA/R79uVHeH5Qmbq5XkqEagpI4r/852mHHwLbma3miufQQ9I24mlMdu23XUtj3rJDbRdK1esg0GOOD76lO6NIGwJaYKYwvrb++APMNHyAcxs5BiWyqca4/21NZWen3eXIZz8xsfYSUxDHhdPqmPdJjs9nc6vcHAv3wJiR0jv6Z/ojKHAxsX4+4vFWIjf2bSOFvjorCPPSQikCTr4OnTOnU368toO97/MRMLNuUg6NG9BQX+9GDeuCah39FoSsGKaiCPmcjYsfJtUJupwO1+zagausicUspjQKNFuZ+Y2AcOg3f7I/F/JXZIlI3fnjPkM+Mxsa2ba1wd4WOhdfumCXq6hLayQCMPnNQZjz2ZpVj3Z4iZKTFif1bVCnPLPen1jgBnJPRMXKrHxLq1XYJvZVBXvSUk5C1foEwzop2V8KQmOb5ca7a8CvctRXQRsZiRy0Npqzo2yuwzwsVYwb1ECJ7b24l5s1svkUMRfMowkQcMyEzqHUdSGY7Kw6JQXrd/0XBNWIGqjb/AffepUgYPr7us/IOoEIZ7CSMPw7Ryv/QwPKR11b41BNSmv2zN8/Eo++tEc+v2lEIgzLwHTUwGf17JwZ0/g7qnShENu3/xr6bYdJJKMzeIaK8aXMuFul9hGS3omb3alRvWwzLATlKkjDpFMQnxgjRoE7cjBnaU6RsN8WQvkli8Etirv56uCbNwZGVn4v67MjabERkyOmV9pJcVKz7TtyPnzgXcV7/R9kKaiR72riMBsukwR6VAdQ4JGSmRyn7ZRqqt8rb39AjE0npaWI5pUq0ZvSQFL+t0LwZPiAZWLRfTBY0dazsWyWL+fFDUpCUFN3prs2zJ/fFriNyGj6hCuzM1BgM6htYyURHMDEhCtefPRoulxunTu/X6t9C+r50/tY6pIb7Uzz2jZxSVFnNTBrSP7nZ68XNF03Af19bITIbbrpgLKaP9x27Th7dS/z5Y3i/JGzYXYicEgvGDaufBRUF17CjUb1tCbBvKRKGym7/hKM0D1VbF4tj3ak4ZRP6+BREj5qJmFHHwpDgm5FJ7M+VJ83GD01t9HtdcdoIIbKpJEej1yO+fibBqdf4Pu5VVz7RHCTg7n1usfAKmDk+A5efMhwlFRbRJop289mzBje5vU87ZqBo8UWTZpJWi6T/Z+88wOOorjZ8tqn3YkmWLMmWLRfJvTcMGDCml9BrgNACIeQPIRASICQhJEAKCQmEkEINvfdiY4Mb7r2pWb33stryP9+ZnfVKWkm7q5G0Wp2XR8jaOjN35s497TuO1oEgdOEZVApj88gmij7ze6QPCXc6ItqP7afmXWupde86fix63mqKi/fWIR5O1twTqGnHZ2TZ+Z6zLDB2ylwyRgzu/S988RlUvPND6izaTZH6VjJGJzqzjxo2vUetX77Af0cvOofic3oa4a4cKKh1GtjIuoCxvOlAFZ23QlGgf3PNEU4Fx/y6aumEHt0F1LkDJU7uric+Z3Gcj6yn2MnHz1lrayM/3rRrDZnLj2cbGMKjKSJ3BcWecDHpXdT9vSV09fVUt/41ishZTlEarkeGc+3ssZG9ZMkSqqrqPU2tO1qJoCUmJpJer+c0cFfwN0TXBvp6T8CE3dioTYuHwWD84pOpas/rFKNroq2ffk6TFh5Pb+qNfZ+8R7gdlOhSaEZULNXVDbxP5Ejj2tMn0zWrsp0LgPbWDm7x9c2ObDovbCvVbfmIOkISFA/jkU1dahENCelknLSEjgZNoXWHWmjby1VktijevNUL06m+Xrvzhb3pUaHU2NhGVqvnbXwE7xnK62BpbjIb2R9tKKBzT8iipqZ2OuRI7xsTE+LxtkCtF/WCX+8opsiF6mIznIzp01lEpHLjhxQy/VQyH97A5zKMJGCaehJVfqGkC5rIPqT7PsWR6rplbzlVVTf122Jo55FqMnda2aiNCtZ7ta1RDhEspBt3ed/EZUQ7P6fm/RtIn7uaOo/t5iiKU/AsdiyZE6Y53/Pfjw6wIY16U8wTqD2dkz2GdFYrtyDCc++sy3OKbs3NTuT3enL9JjnaZx0sqO113+yJOSyqZG2uo8rt67lVEbbXnPct132qBE05gWyTV/LnoOYfIBJoNXdSnbmzz2OVEKkY4XklDW63wzRxIZkPrKNqnFPzgsi8/yvq2LeGBYYQAbOOX9LlfV/tKOX7JwT6Qg26Hp+J+lYY2YcLaijJoQugn34mkcPI1o/NUfbDIfQEUcKONjP/9LkfjnTI4somKq9o7KHArLLZ0bMXLcF8Of8He26eMzGOI4NIf581KYH+/OoudoDMzU7w+3v24qlKNFSLe2GsYzzzi+upblLvfcFVahvbOSUZBkiQrv+5bWxsCD180yI+tjMmxDlf78n4ZiZFsJG981AlLXWknndh4nKiPV9R0951pJ9xJs8zHQfWd+2lbQqhoIkLORKI6DUyUDhvo9t2wwmwr0BZ26Ynhve5X7jmYMhu2lXCkW2tQERfFeNbs62Yf1QwLwbr+7+PQvwTae8bdpR0Kc+yh6eRPi6VbLUlVLH5MzKl5ZD50NccLbWhK4ADHCOaeqpv1wDm/R2fUVueIiIZlDSeWm3BZB3s60kfTcbUqWQp2U+VGz+ioKwF1LF/rRIJblccJ8G5p5Bu9gX97tfrXyg16ctnplB2Wgz98/399PoXh2nxtDFk7rTRy58qImTnLR9PTY09M3jDTcqaF4Z4UUkdRYZ1c75OWk4EY3rPOtLPOZ8sZYfIfGA9dUJ3Q60p1xvIlDmbI/SmcdPZ6dvQYkM6se/HKHoC17DjG7SY3wZrfsZnehod99jIfvDBB2k4gLE+efJk7sWNNmEq+BsR9IG+3lOQAuivmIKCqTJuFmXUbabWPV+QZe5x8Q93mOsrKaJQ6YXXljrPr/dtaDheKwW16d9syqKzQrcTVeVT0xsPOZ/ThcWwIFFFzExaf0xPm7+soKbWvC4LRqTJLc5JHpRjiklCxipwmDd5DL346SFWGT9YVEcxoUbuK6sqPXs61rmZcWxkow74lLnHIzDGKSvYyO7Y+TF1bP/g+HluMJIpezm1TlpFnZ9u5OgD+mQP5bk1PjmSosJM3Cd3x6FqNiD6YttBxcE7MyuBo2Ou12x/JLqkxjW1mJ010va4TBbaQipn48v3HH+D3kBGR69Uq11PZLHR+l1l9OU2Jf3u5nNzu6j64rihrh8q4YgaI3qMxT0ecz2mfV2/qQ6xPaT99z4OelYHhvJry8d/6XIM0DIFNY34QU07rydsNsoraXTWpXoyvlD8xvIL6a8wfrurV0P9HkY2L3wPru+iDhtyxo/Jajfw8VKBmJTqcHD3/dBEgMgUrgHn8xFjKOzc+7g21Zi7ih9XF/XIEvJkP5D+jbpDLCKR2u+u/zVaQqFeHed/TmbsgM7/wZybrzn9uCDTL66dxxGsgW7vSCPBEe1EdNqT/VZbnKEMBpeJJ+9BNwf8uJtf+hrfNFdVfnevSZzIvZxt9aXU8Nz/Hf9snY4MqTlcww39BFXs0co2jPvvQhkKjCic35hv+tovlIfAyC4ob3Sqeg+UrQcruXYdLJuRQmXVLc7OAVljo+jikyZ6dKyxbTCy8QNxOVdMU06kjm9eoLZvXqQ2V+FOUwiLmRknLeUOBlaIgflyDbjM+yBq9qleXb8o8Xr1yyM8DvdcOccrPRPMnzCy27e+S+2O7B91bRk051wWSOtr/AEy7lQtl5Nnp7GI6pvr8ljobu22Ehbpg3YBHl88zf1a1KjXc6o/7okllS00Ma2bKZg4iXUsbPVl1PCfH7JIqAoU3XEfQis9lBoAvmT8eD6yDuPa2e9rssFll11Gjz/+OK1cuZKmTp1KzzzzDFVXV9MFF1ygyesDgYwTziZ6ezOlth+hxupKikroWlNj6+ygit0bqHXfOopvyaNIeHdtETTlxNXDts3+CJSlU1OTaGvdeFoYfFRRHh8/j1pS5tI3VdG0YWclVTh6FwIYJwunJnFdF0SoRFFc8BT0rJw3ZQzX9n6ysZDmT07kGl8YNjEeKIuroObuf18e4fRr1CGq6ugwFFGba2+pcyqsIvsCCxXUsxU6BJ8So0P7jSRrDUpwcM18vPkYfbWztE8ju7qhjb501Je5Cip5ClKL1QUFFp2qKjMrmuaspI6v/qVs05gsXvCaJixwLh7A9sNV9OwH+/nfi6YluW2bA7Gny1ZOoj+9pqRr4zu8EWfDggjGLYRqsIiK6h5ZcIBFGLfRsttYlA3bim3urZuBU/zJQ50BRHzHxIVRRW0rHatsomiHQJ8KvgdCcDZHX1nDuFzuzw5FcTV93bV1116HSvOcyYl9itLh+1yB2jB+VDxVFnclMymSdjbXsPK+OyN72yElMjYtI5aiHX1j/R3UXLq2wxotQLwJqKUP/YEuBGDsEPQ9V/vLQ7QQ5Tjdr0OeZ6adTB3fPM8GNhSu2bCeuJg7QngD5ngwKa3/dnPH+2Vrk1WH7AB1Hly1YBxdcrJS5oNsGaTyL52ezPOgJ6hidGiz1h04Cjs2vaqIsun0ZEjLVY4X5hgN+leDoOmrqH3NP8gwZgJFzDiRGprdd+HoDu4ff3l9Nyupg8+2FrNjwVPQFhHZSFzDDDX8jFlkmrKcDGnTnerx/QGHMzpA4Biq8/rqhRncSu75Tw856/TPXJzRp8YE5l7cE5G90V0Uk8/ZqSdSx4aX2MDGNvPaIXtpl170QoAY2RdffDEVFRXR5ZdfzqngSPtGL2w1/fvVV1+lJ554gj744AOKiIjo9/WByITcabTunRRKpTIq/OZjyj3nKq5jqTuym2p2rKHYur0UQWbiJYqOqNA6hoJPuI7Cwwf/JjTSOGHWWPrPewvpgHEq5cyaQ98cqKWjm1D/otTAoAYWnuFFOcksPjLUBooQYD3b95TTVztKyO5oaQKBKG+cNTAgEeGFh33drjLnTR83bfQehuonDG59VFdDR21vpCoxD8e+w8jedbSGb/auIjpIi3z+k4PcuxZGknrdTUF9tQ/AAYbvgAq7a+sjGIj68Dg+Nnq023HDBocKLhaR3z3jeH/e7qDV0FlLMumjTYW9quv2BqLrWKzDiMBCzl1rHoAodejZP2XhHyw+oZbeF6rqvKpC7wnjEsPZ6C2ubKHcbkY2zsvQU28nS/EeMqbPZJXn3kB/bm7dFWZi8Tl3JMeFdjkXe0MVPVP7wnsCFqBQfVfPn+4gwgdchbQE/0Rtc6eq7/cHHETeni++ombKQAgM2hjunGumnJPZUMH1q0/I8NkZr14HnjjNnC3y+rm2PAWZUthHfLdrz2VfVPlVIxvOs+6OCTiAQ8/4P46iwrDWh/XfWg8ZYcgCmjUpkZW0+xMwhMEYFpNCQWPSSW/Cfad/IxuG9XMfH3Qa2GDdzlIWS0UXAE/AfB26+v+4z7en+9adzY7soAWOcgywfEYKZxhAuwJlEpjvkSnXn+Nqf6HixHaHCb3L9Ualvdk4z50Awgg0snEB3nXXXXTHHXdQa2srxcR09UqfccYZtHz5cgoPD/fo9YGKZcIyoqOvUkz5Jjr8roXCy7dRpL2J1KVjjS2CSiJyKTp3OU2ZPlWMwz7TeENoW4ORtn3h6H+pU24mi3OSWN24v7Y8guAJiEhACRmphhCcAr0ZWH2BmyyM7G92l9EFJxwXOjEkZPCPOypqlZtrksPQGWoQccf+Q816/e4yOntJpvM5iPZ8tbOsy6LsnGWZHi9muoOF4fbD1U7DSgX3CuO448Iu3UE0drdD1Ry9X/uLHuHYn7dsvNcq1WprKhjZSI3u6xwwJmd79Hlo96RGiNO9MbLHRNC3B6uchkp3YCgETTu5X6G6z7Yec7Zc682ocEay69p48eru+EJoySn45aWRDQoc0fzuqMZ3fy2eBP8xslGKgfO6v/vvMUePbE/avQ0URA6ReYQsFDgB3BnZqLE2ZS0Y8HcVV3nubEry4NryBrWF4pLc5AGvHbFt2Jx2s5VLU2K6ZZJwt4duHR96AyUfiCiDQ8UNPKf0V36E+QhRbJ2HiuIo44JBjXR93IMeumEB/e7F7RzB37i3nPu5e0pf9+T+aGjucApJzp8ypss5COeC2qf80pWT+h0jtQQDZUHugFEdlLOStKDdbOFjiAwt6IOMpozPEWUpQDlcVQ93Bca1amB78vpAJXvZSqo78jZF65opukwRjmmzmSg/KJtTcCbPm0+ZoaPnePgKJqxT54/j9hdYgMGwhnBI9xuBIAwU3GwgbPTSZ4oITkiQgZ043jI9K57TzLFggUjY3H682KDU0eJGTSscrmg2jGwsYDi9TafjhfQ7XyvOLYA0bLQB8jQVsa9WZ4ePKemWnoJ6YRiMiLJ7Gg32xcBWxbfQbxcCamcuPu5w8BXViGSxuF7Sz90xbkxkl6iZtyB6/fuXtnO9JegrvRnqt1gMwpCGgaL2znYFESqkR8J4UVvPeIJqPJdVt7Jonmu7I9QsqurT6H0s+DcwqjH+mBtwnvRlPLe2dzrTxb3J4BioE0A1siHqNRh0cTY56sD7AsYMtCHwPqR6q0aVL1htNmftda6bchlvQdtDbF9VfTs7Ageyttq0T4nsqhwuqe/XyPYG3E/Rox5zEEDkGscSTtdXvjxCn28t5vvYUBiOKJtCIB33M9YbcOGk2al8/8C9Cs7r/sDxB1W9GNlaYbPZ6dGXdzjvB8hquuGsaUPSKtUfkDzXACIsPIyKEpeT2W6gI5RBB9IvIuPFj9HC6+6iOcuXUrgY2B5zztJM+uudJ9D9353PYmZiYAuDBQRksOhQlelRq+0tMFSg7Ar++uYeevTl7bwg7QsYL65G1XCAmnQsoBER2O+o312zvYRaOyyUlhhOz/zkJHZ4DcTABhNTo3nBWdPYTtUeppyq9dgAi7bBXkSpqfBwOsCwHyg7HZEnqM96Q5qjf3VZTSsv0L0FojxYUOGcvGrVZD6/ewPjqkblekvrznMRVvK2jAKGGaJ4qqCgihqlj48K7qmsK/glEPrypC4bOgAY85T4MK9EqbSItHtaM+4L3jqbcG2px2ygKePljrkATmCtyovUzykb4LapzkC1rjjfMV9oAVKv//PRAWcN9KUnT6RT56c5lb1xT4FDp7dosJbAefmFQ3zz9AXpPZ7HffQX186n2y+c4dE8eTySPXjnrOoYUOdwONExF//3Y0X9fDQgRnaAMff8Kynoqr/R7BsfpPmnn0lxcYPjVQ10uPZQUsKFIQCL/Ae/t5huu2A61/T6ClLGXSOwa3coN2R3oHYLkRedQ3RruEDqHTJFwNqdpdTS3kmfO1rCnL4w3eeosDvBKDXChLR6Tz3wOw4rr53jQ3aBt8DDj+iC2WJzGve+gjrHrQ5Fdm+VhaGwjDZkWFiWVHsfzd7vENQ7ZV4aR1f6W/ChFZqa9umOPMfjajaCp+B7M5LcG/DOVHFHX3nB/0H3Dk8MRvRrBtMnDJ0GD1rLeVMz7gtIVVYdhp46m5I1Ej9Dv20Ah9hA0867bxsyTQaCGt1HZxiQX97Ec7cWfLWrlO+TmJfvvWoOB1xUh294iMmpLI/vxHb88dWdHN1G5F9rDhTVseMcYruzswceqU9wiAnWNnWwAT8YdJit9OZXSgeeK07Npt/dspjXHJjre6sFDzTEyA4wMAGKZ14QRhbTJyZwScJAoqWIDFx/5lSOzgGodruKtLii1iYj0jHcziSk2oHth6ro72/t4bZLWFC71pxpgfp5G7ulF/YGlLnRYiw02ECT0wdf1wNjj/Z/AGJ4AwGGCLIDjAYd5U6I83o7xjsM2qOOFmDecMhRMzjFw2M23mHoFpT1FslWjIsJY70XCVJr0dWsjR6q65IqPmJQDRq1Lrk359KeYTCyvRVm8wVnRkeq544hrcTP1OslXcOsp74Uxj0FRidKpMC8yYnstIVhhy4bWoB7qJphZjL21ANRHX/7C+vor2/uZhHPjzYVOR2cWoI2nQDlZAPN7AJR4UGcbYQlAgztwWDLgUrOSoPIGhyuyCxRhUfVtpyBjhjZgiAIAQJSxn91wyI2DFHvhvpedxwoVAwhV6Xt4QL1leNTIjlyilRPOApvOHua20XNQIATA5+Nxeq9T290Cvn0p8ydNTZ6yEQiISoE9ubXUn2z7wuf3UcVQ2PyuBiO4nsLomXgcLFynngKIsRImcXxmpjq2bmlRrIhUNbdKYR2ZjiPAc4Rnxfyjkhc97EdLXWBgQB6pPenFYBUVEQe0Ykge5z3TpmBtvFS6/wHA7WNnTdCfc5I9gCNbNVJpaV+gVovj2vT18izKuyI0hC0alQ/U3VIDATMPSWO2v65vTh81RR1lDihvEbl690Dc5K646jD2Yg5XQtwL1TrsmsGyTm05YDSz3vZjLHOrDSUiAGIa44GxMgWBEEIINDreNG05C6e+O7sLVC84r62xNIaV3XWi0/KYsNWayAMN218rHPR+fwnh3qN9AOofA+1IYZsBBi42Kyvdx9XV4dwUX819lqmzKoLOZQdeJP6uGGvsrick53gsbYAameDTHqOQHVPa1UXy3gNFtHeogpkIfqppkS6fo8oi4+8SDa6IkD13x2qUxHCT1o76TwxZtEmEOrnWoNzttJhUHqjsJ8SFz5gIxvZAUWDoNaO7hJ83Xdafa7LVmvg1XR9da4+1ke2g6eoIpno/tGbcGT3+fWq05TOD3vyawbkJO0O5i60RPSlbKYvVCMbWU9aA7HJA47SodkuQnSqECbm9sG4VvwNMbIFQRACDDUFe9uhKmpqVdLpVFAPhWgQRFtyNFCK1QKIY3139RS667LZXPc2WFxy0kTnDd9VbM0dao3wUCkUq0BQR3WQQLn2V//9ln785Dd0/7ObeeHiSbsUtc0LVOd9AREaVc35kBeK7KqR400dOFIfMx0p4wcdi7LuRravC0uUQ6C+HKJNavQaqa9wrURHBFG0dIwYMaBNFsYSjrHSXup4DxTVD4vzENcKts+1RlhLiqub+ZxFz3lvzlk1Xby2sYMNdV+AgY6UX5SeaKnfgcim6uRSHZreUumIwKqZBHDGaVGD7uqI7qtUCOOu9qs+ZW4anTQnjdP54STFvVcrMAYwtJGhporZaYGqUF41CPXRaH3ZabFx+Rr0RlQg2of0cVzHEPkMdMTIFgRBCDDg0cePxWrn+l5EI5DK+/Lnh+mxl3fwa+ZOTvSqtdNggtS15TPH0tRBXhynJkaw+urJc5TIeW/icHBMqG2AJnmpzj1QFkxJcqb7v/DpIaehiSjZtweV9Lv+avcw7ljIqBE2b4Hhq0Yc/vz6Lnr8lR1s5PelzA7ROjWV19uUxhkOZ8BznxxypoAOtB5bPa9Ug2u/Y9F8PNo5/KUSgndaAWoU111dNhbtqpNmSvrQZ+hgbgHdley1QL2uvIliq0YgHBMDiWbvya91Xi9al82oYpS96TF4G8nWKj0e98vdjnKiGf1kA910Tg797Ucr6PJTlSi2eg9To/9aoDoNEP3XsstFssNgH6j4nDs27VOymuZP7ak1M9lxfXZ3qgYiYmQLgiAEICsc0eyPNxfRz/+5mR789xb6ZMsxjkogLfnSlZNotOIUWztczUrr3YGQDUDkBgIxQ53uf8rccc465MtOmUSnzVf+/mqH+/R/V9QICqLJA1mQqQq2iIDBcMdC/+Mtx/pMUbc70iu9jRDPdYl8v/uN0iMdqYSqiNpAtANyMpVsDVWMSI1QTfOTUgnBe0PWXV32sYpmamm3cJsptc5/KFGjdcU+9pf3zMiO9NmQ9cWgQfR0naPkaDCE5NT07oIK3yLZqtCcGt1NjlfGAC21PMn66fVzG9qpprGDs736y4rAHIs5u3tZQ4kGKesqajp9ikbt01TGOjITSjUSilOxOfRVwLzJPevZVVFMNfMkkBEjWxAEIQBZOC2Ja94gBIQURkQhIDpy+4XT6aHrF4zq3u+K2FoUi619ved47bPK+l1lXSKsQ815y8fTkz86gX5+zXw6dd44WrUgnWAvHypu6DMdFYvinQ7Rs7nZA1Nnzx0fTzOz4jn9UVU03rCnvNfFq9ruzLX+zlPg9PnuGVP434jWw8BGBA0ReTw31pEG6gs455HqCuGojfvKOUVRN8Tq04I2qOJ3ajsrV3Y5dAiQRaGF+rK3pPlhJBtMcziZ9jicS97w7YFKzuhBRHzpdEXnQ0vGOY4Z5jREj31OF3dEspFOHxZsZGffQHqWH3Y49+CsgWK5L46g4uqWPjU/vKHcYQSr6f9akZrgqnOgXRsvlORgDg8NNrott5o8TnFcILsu0OuyxcgWBEEIQHCDu/LUyRzRhAHzx9uX0a3n5XILkKFSy/ZnVswa64wOY4EHAxU9tJ94fRcbeDDETpihvGaoQXTEVRUc6rkzsxL6FLMDKA3AogUibxO8aPXjDpNRT3dcNJN+dtU8uufKudw/G1kQ7trTYIGG9jVglg9GttrnFume5k4bL+7VKPb08XEDisjDQFBT359+Zx//njkxgWsDhZGFmtGAxTm0B9w5eXw9/waKWq+sZQQTwFArHoCRreoyIBtFNUo95WtHK0GU1wxGa1gYjYgWt3VYqabRO/EtjL+ahaRGsjFPaNG2TO2qMMnDDgmuoP0knHrIANJKUExVLk92CNlpBXQEsE7AOeZapjNQ1JKcyeNinKrirmDuhejaaKjLlpWWIAhCgAJBsdsumE7LZ4z1WO15tADBGqT5oe3O397aQz/6y9f059d2cQq5Gk1GFNXfUtxhSLtGHbDY/GZPGT32vx30nw8P8GMr56ZxPbJW4LNOcAiyuatjRwp2u9nKYmJqeqq3YIGsRsvW7y5z1mNnOdqJaXHsABZ3SMEXRh4J0aE8ftzuz1ErDKA2rraZQgbGcDAW9bLc+qmTGjRUloahhmsLhpsvkUyksac5HAD3/WNjr8rs3cEco6aYIytqMICzV90ntV2Wp6it/VBzHu7SeUCty/a1VzYcruq55YuAHvYJtdOgRIPSAWyPM11c40g25ly1zEHLDIz9qjZCRu/HT9VN2Ly/ggIZMbIFQRCEUQcixYsci0f07ISSNuqvkZ59/7Xz6eyl48mfmJ4VxxFtbCdSqhE5fvqdvfTDJ9bTM+/t54Wh3RERXr1Ie4V29DpVU9ZdF7CI2Ly1Lo//vXCq0ovcV5bkpvB3ILqR7xBD0qJlTe6EePr++dPpju/MoF9/b6EzvVQYeah9djfuO744h9o4DG8YXHFRw1MGA4edWuN6pGTgfZpda81VI97XDKQLTsji3yi/2HlEyTjpj6LKJn49MkF8FVD0Js3enZidR6Jn3dS2nUa2j5FZRMBRj41j3ZeyeF+oTg1v98kdKPfCHIt5VUtlcRVoaGhpZCMjTG1/NrUPI1stK4LTWO2nHYiIkS0IgiCMSs5YlMHtqhbnJNGPLplJj31/CUc5h7I3tqegzhQGNPjHu/voj6/uZEMD6dWIuCPy/tubFtF1Z04dlJrU7inrELeB2NmjL29nJV2kHa5emK7ZdwC0f1F7uQ4UqOkjTXwo+ycL2qM6xlC28LsXt3HqOAxCNZ1aS/Vlb5nkyLo4UqKdoJPaSnAgPaqRQq863tRe9v1x1OEomJgaPajHVDVIvTXyKuoUIzopNkxTATqk1YPscdFe12OrqAJ1atvAgaA6NNGmbDDKvJyRbI3KHKAUj97ncM6k9tHyDefk6Y52na98ccSnmvyRgOQPCoIgCKMSRDTvvXIujRTQQ/uDjYUctYsMM3HkeHFuMovLDIVxccKssVy3DiN78/5KbisG0HLsRxfP1KTv9FlLMvk7QM74+GE1mgT/A4Y00mZRpwp1YrS5U3tU+1qqoBWTxsXQmh2ltDe/jlOt0aVgwdQkZ7TQFw6p9cFpAyubWJyTTB9uLOIMGGTDwAjqi+Ot7gZeruGJ+FZxpXdGtioA2T2FWnWQIrsBIo1BXhrKcBwOtOxg0jjlmB0sqmdnpLu6ZE9RnQWuvaa1JD0pQjOHQJdU8fSYPrOaMK/DMfzljhKux88ra6QsH1s1+jNiZAuCIAjCCKlJvfequdTabuFUxqEWsJs+QUlZh3ENsSKk52LxjhpwrerXkR5+4znTaO32UjplbpomnykEDlicX3lqNr29Pp9LF1yVxgerdthTclmkT0kTfuTF7fwY1P5RfuILEDEscESyB9LGTk3LhoMCSuUQFjxxdmqfKb8HjynG0tTMwW11p4q5IWKLCKin0WM1wqvWP6tgfoLKOGrjsa/eaDogmq7WY8+c6LuRDacnWslBKBLbMJDMqEJHuYBqDGtNZnIUG8OY02sb2ykuamCZQ/sLPK9nDzIZuIMFHLa7jtQEpJEt6eKCIAiCMEJAtC5nfNywKMQjDf27q6fQktxkuuW8XHr8tmV0+anZmgvELZqWTHdfMYfSfFBTFgKfqZlx9NMr59KZizOcj6Hd3kBSqrUACtxqX3aUT0A5G+ns+PEF9LznNnaxoZrU48IhBty1LXQF3RXgRIOxmu5Db25vQA09DGNk5xx105rNHVClVhW3U7pFeOGEUTMa3LV66w0I56H0xe44l7ob797Ok6pTBNkMA0EthRiscxtaAqqjQ82a8BXUjqtq4ep10B/qcUIkOxARI1sQBEEQBI9FxG44axrNnzKG23wJwnBx/vIJdO3qKXT2kky66ZwcvxiIG8/JoZ9eMYdbJqJ9Yn9t99zR0t5Ja3aU0P++OOI0jrUom1iUk8SGP+qtYfgjbRyRVkSuVVCb+8bao47XJw8o1dkTsF9qSvrf397Lhlp/oN0UFNeDjHpKjuvpfMh2CJYhXVsFaduIVLvuq9qdAW0bH/jXFmpoNnMdMc6pgaKqZx9wpE/7AqLLUF3XDXIphJqtoNaj+8rBY/XsLIGOhqdOoQkOYcv80kbN+or7E5IuLgiCIAiCIIwoYAC6tmfzB1DrrEbnVsway8rJG/eV08UnTeSoYW/A+EM9MNSWdx6p5gg2gLFy6vxxmmxbTEQwCwAiPffBf29xPo6yD9SN1zd3OFtjQfMBnRaGghNnpfI2wejftL+i3zF1FYNzJ/KoGrhIecdr0SYKIpEwovHZrkb0q58fpi37K51q2Leen9ulJZivqMraMPThODAYdB5nH20/VEX55U3U0tbpNESjw7XvU64yfUI8fbRJqdfHeehrlpSaaj8tE2UTnjlnUMYAZy1S6+E8GUgGgT8iRrYgCIIgCIIgaAjqUhNjQthwhbG9bIbSHUAFispIk92wp9xpZKogooqyjOUzxnLquVZAPwHfpYL+2y3tFmeaLyLdsyYm0AUrJlC8Rsr+nhyni07MolfXHOWof39Gtqp8npniPoUaNdDREUFsVD/0n2+7PPfNnjL6zolZ7AyBQfn+eqX94HVnTO0xPgMBNdTqNtzy+Fp2ZNz/3fmsq9EXh4vr6S9v7ibXoO5gaw0gkwDtKxtbzNziDY4YX1Cj9tO8qOM3GvSUkRTJqf1wiIiRLQiCIAiCIAhCr0BQCgbj62vz2HhUjbjq+jZupfXN3gqO3qkgWgmDCsb1YLUjQ0suRNVhYCLSDiNnx+FqjrTi+xHRRm35ULNkegq98VUe5ZU2sqJ2b3oMcEwg4gqmZcT1etwXT0umjzYX8f7NmhjPKffvfF1AhRVN9M3uMjptQTodKW5gBwMMzCXTlXp1rcDYod3cx5uP8d/4nrU7SunCFUrP8t74ZPMxp4ENhwfGY8Ws3kXqtADHaGluMn24qYj++uZuevTWJV4LoCHtXu0LPinNO5G+CWOj2Mg+WtpIS3K1c3T4AxLJFgRBEARBEASNQW/7t9blsxHx7jcFtDevhlXRVVBXPGdyIi3JSeba2MHocd/d+Du9Wz97tAEcbmDgo3cy+p+v3VlKV5ya7fZ1MMLR8gmGoZqS7Y7zT5jA3RAQ1Q5zpH83tJrpvx8d5DZrSMHf42jXBZGuvtpN+cpFJ06kpbkptO1wFZ8D63eV0bnLxveajt3YamY1evDAd+ezgY2SiMHYtu7AAQQjW62NRxcLb8gva2LnQLxDyM4bJo+LoU+2HKPdR2vYiRJIbRtFtUQQBEEQBEEQNAa942dOTOB/v/lVHhvYMCFgIF5/5lT6w+3L6Mazc1hQcLANbH9nhSNNHOnz6HHtTgzuqXf28t8Lp47ps8Yddb5QoVcNbOU9SdwirLy2lQ4dq6e9jnZTuRM8U8L2FhjIiMifsSiDldobHOnYvYG6aGQYwDGATAYY40NhYAOkaSOzAcAhpEalPWWf41h60zJNZdr4OHY2VTe0U5GjZVmgIJFsQRAEQRAEQRgEVi9MZ1GzMTGhHDVGGvFA+xEHIjC24qNCOFKNiPa8KYmcGr5hbwXtOnpcDA7p3YgIewtq25GOj9R9RG0RFQdoiTjo6djTlUgxvttdzTP27+PNSiQZ+zYc0dxrTp9CTa2d3Druqx2l3J7RE6AKjvECyEbwlmCTgcXXth6q4p+B9BX3N8TIFgRBEARBEIRBANG9v//fCv53IKXCag2itstnKun1r645Qi98eohVp12VqBfnJrEYHITLfAHRWhi6al13enIkOzwslq6tvbQGtfkwspGiXtPQ7hSVg4GK7Xnhk0Ocbr10ejILzw0X2E4Y2dAMuOikLDIZe88WQGp3QXkTfbmthLMDkFkwY4Jv2z5nciIb2N8eqKTzlw+Pk2EwECNbEARBEARBEAaJQDEahqKG/e31+VTfbOa/Ud+L/t4QMutNDM0bMpMj2VhX06FPX5RJQ0FSXBhNSY+hA0X1tG5XKe/n+t1l9PXuco7cA0TZEU0eTnI5myCYaho76NuDVSwY153axnZFuG9POZXVHBfuO3fpeAoL8c2snDUxgYJMejbWf/zkN/TY95dSICBGtiAIgiAIgiAIwwqiyuhjXVTezGnV2ekxmtYlw9lx6rw0+teHB7jN1qkL0qmttYOGghNmjWUj+4ONRax07prGfsaidFq9KGPIarD7qiNHpsBb6/M5ZVw1sqEejgg3nAIHCuvI7ircl53I6uwQkPOV0GAjOx6+2FZCYRq2rBtuAmdPBEEQBEEQBEEYscDIoxmDq6SdGBNKE8dFU0iwcciM7LnZiZzmjn7oLH6XGcuGJYzUIFPvadlDDY7P21/n08Fj9fT17jI2qhHV7nARo4MiOFrNzZsyRrM+7pecPImj+elJUpMtCIIgCIIgCIIwYkA0e0pGLBmNQ6vmjvrmO74zgwXXZmcnUEJ0KPlrNgGEyFC3/s/39zsfHxMbyoY1ottwUmiNyaj3use2vzNiItnvv/8+Pf3001RRUUG5ubl077330oQJE9y+trOzk5555hl+T21tLY0fP55uvfVWWro0MHL8BUEQBEEQBEEYWSJ4vrS5GmpWzR/HivihQUZaMHUMLZmeQlljo0RbIBCN7K+++oruu+8++u1vf8sG9pNPPknXXnstffjhhxQeHt7j9Y8++ih9/vnn/PqMjAz64IMP6Hvf+x69+OKLNGvWrGHZB0EQBEEQBEEQBH8GPcYhPhYeYuxTYVzom6HNlfARRLAvvPBCWrVqFaWmptKDDz7I0vHvvPNOj9darVZ6/fXX6bbbbqN58+ZRYmIiXXPNNbRgwQJ69dVXh2X7BUEQBEEQBEEQRgIxEcFiYAe6kW02m2nHjh1sMKsYjUaaPXs2bd68ucfr9Xo9rV27ls4+++wujyPijdRxQRAEQRAEQRAEQRi16eI1NTVcY52UlNTl8TFjxtDu3bvdChp0TyGvrq6mr7/+mn70ox/5vB1DLZDgDQaDvstvIbCQ8Q1sZHwDGxnfwEXGNrCR8Q1sZHwDG4Mf2EbDbmQvXLiQo9XugHBZW1sb/zs4OLjLc0FBQdTerjRw7wukj999991cm33JJZf43DcuNrZn7be/ERXln0qFgjbI+AY2Mr6BjYxv4CJjG9jI+AY2Mr6BTdQw2kbDbmR/+eWXXF/tjrCwMCopKeF/I5rtCv4ODe37wNlsNvrpT39KRUVF9Pzzz/cw1D3FZrNTY2Mr+Svw0uAkamxsI6vVNtybI2iMjG9gI+Mb2Mj4Bi4ytoGNjG9gI+Mb2BgGyTbCZ3oaHR92IxuGdF8gLdxgMHDKtyv4G8/1hsVi4Qj2wYMH6YUXXujztZ5gsfi/8YqTaCRsp+AbMr6BjYxvYCPjG7jI2AY2Mr6BjYxvYGMdRtvI74t4kRY+bdo02rlzp/MxRL7xN8TP3IH08zvuuIOj4FoY2IIgCIIgCIIgCIIwIiLZnnDllVfSQw89REuWLOE+1+iT3dLSQueff77b1991112Un5/PLbvc9dH2pSY7Lk5qsoXhReqGAhsZ38BGxjdwkbENbGR8AxsZ38AmSuOabNiEnqKz91YQ7Wc89dRT9Oyzz1JzczNlZ2dzr+wZM2bwc4hWP/roo/TVV19RXl4eXXzxxWQymfjHlblz59IzzzwzTHsgCIIgCIIgCIIgBDojxsh2rbVGn+zuImhIEUfUGs93dHS4fS9qu0NCQoZoSwVBEARBEARBEITRxogzsgVBEARBEARBEATBX/F74TNBEARBEARBEARBGCmIkS0IgiAIgiAIgiAIGiFGtiAIgiAIgiAIgiBohBjZgiAIgiAIgiAIgqARYmQLgiAIgiAIgiAIgkaIkS0IgiAIgiAIgiAIGiFGtiAIgiAIgiAIgiBohBjZgiAIgiAIgiAIgqARYmQLgiAIgiAIgiAIgkaIkS0IgiAIgiAIgiAIGiFGtiAIgiAIgiAIgiBohBjZgiAIgiAIgiAIgqARYmQLgiAIgiAIgiAIgkaIkS0IgiAIgiAIgiAIGiFGtiAIgiAIgiAIgiBohFGrDwpk7HY72Wx28mf0ep3fb6PgOzK+gY2Mb2Aj4xu4yNgGNjK+gY2Mb2CjHwTbCJ+p0+k8eq0Y2R6AAaqtbSF/xWjUU2xsODU2tpLFYhvuzRE0RsY3sJHxDWxkfAMXGdvARsY3sJHxDWyMg2QbxcWFk8HgmZEt6eKCIAiCIAiCIAiCoBFiZAuCIAiCIAiCIAjCaDWym5ubafPmzR699tChQ7Ru3Tqqqqoa9O0SBEEQBEEQBEEQBONIEyD75S9/SUeOHKE33nij19eZzWb6wQ9+QHv27KH09HTat28f3XXXXXTFFVcM6fYKgiAIgiAIgiAIo4sRY2S3trbS/fffT++88w7l5OT0+dp//OMflJ+fTx9++CFFRkbS2rVr6ZZbbqFFixZRVlbWkG2zIAiCIAiCIAiCMLoYEeniSPc+/fTTaf/+/XTaaaf1+/q33nqLLrroIjawwYoVK2jq1KlsoAuCIAiCIAiCIAjCqDaybTYb3XzzzZwinpGR0edrm5qaqKioiLKzs7s8jr/37t07yFsqCIIgCIIgCIIgjGZGRLp4UlISXX755R69tr6+nn/HxMR0eTwqKoqF0AbSb81fqWitpC01RZQbk0OhxtDh3hxBYwwGfZffQmAh4xvYyPgGLjK2gY2Mb2Aj4xvY+MP4jggj2xsgegYMBkOXx/V6PUfEfUGv13FDc3/lYHMd1bc3UTM10tjYhOHeHGGQiIoSB0ogI+Mb2Mj4Bi4ytoGNjG9gI+Mb2EQN49o54IzsiIgI/t3W1tblcfytPuctNpudGhtbyV/p7FCcB/VNLVRnaBnuzRE0Bl44TBKNjW1ktfrmKBL8FxnfwEbGN3CRsQ1sZHwDGxnfwMYwSGtnfKan0fGAM7LHjBlD4eHhVFxcTPPmzXM+jr8zMzN9/lyLxX+NGwMpUfsOi9mvt1MYGJgkZHwDFxnfwEbGN3CRsQ1sZHwDGxnfwMY6jGvngCvy1Ol0tGzZMvriiy+cj9XW1tLWrVtZZTwQMelN/Ntiswz3pgiCIAiCIAiCIIxqAsLIhpr4Z599Rp2dnfz37bffTuvWraN7772XXn31VbruuutoxowZdPLJJ1MgYtQrCQmdVmX/BUEQBEEQBEEQhOFhxBnZEydOpIULF3Z57MiRI9zeSzWyJ02aRK+99hqFhYXRxo0b6dxzz6WnnnqKxc8CEZNqZEskWxAEQRAEQRAEYVgZcTXZ5513Xo/HEKHuHqXOysqi++67j0YDJoOSLt5pk0i2IAiCIAiCIAjCcBKYod1RhkSyBUEQBEEQBEEQ/IMRF8kWehc+Q012fUeD20OkI12PR7r8pevv9f0838/7e35a39+P54P0JjLou/Y7xz62WFr5uTBTGD9mt9upqbOZHwsxhjhfa7PbqLmzhX+PNAw6A0WYwlnIT+gdjG2TuYXsNLhjHG4Mc2aM+EJLZ2uvmSYGi57srZ1U39467C3adKSnyKBw0uu09b+ilKXN0jYir8WB4k/jKwze2BrJRKEu95/+wPXQYTXLkPgxcu0GNjK+/kn4ANdb/oQY2QEkfAZ18a9LNlEg7VdqRAq1W9qpsbOZrDYrmV0WJUlhiZQWmUr5jUVU21bLj2VEjaNp8ZPZSDhcl0dH6vNopJIcPobmjJk53Jvht9S01dLemgPUZG4e9O8KNYXSsrGLKMiHib+ytZq2lG/r9Xm9XkchNUHU3mYmm81Ow01WzHiaEjdJs8/D+Kwv2UQ2u5VGI/42vsLgjC3Z9bQsdSFFBkX0+77CxmO0p+YAPMQyHH6MXLuBjYyvfxJsDKaTxy3X3Nk/HIiRHQAEG4IoMyaNCi1lZOsWKel+C7f3eKTb8/3c9Hu8v8efXR/o+Wndnu/xArvzc+A0wGKkO0GGIDLbOqmitYp/XMHr2yztNGvMdDrWXOK8YEfUxWq38z6Ut1RSg7mREkyxw71FfkdrZxttqdjOjhfAEaRBivqbrZ3U1tlGu6v3stPD2+yC/IZC53nbPTNDvdGHmYJIZzEMqxGGax8OraKmYpoUM8HttvpCSXOZ08CGs2K04S/jKwze2FrNduroNNP+2kO0IHlOr69H5Lqo8RgdqjvqdCQHSsQmEJFrN7CR8fVP4kPiRtaavQ/EyA4AsOhfkDaLJoVPGraG64Ox4C9vreRoZagxlKKDI9mgDjOGcrQaRtaRhnyqa6/nx3Lip1BzZzNtr9xDla1V9Enhl2ysIpV+JHrENpVtpeq2GmrsaKKEcDGyu7O/9iAb2CgZWJg8l8IG0Xhr6Gikb0o3s9NjT81+mp4wzSsDvbpdybJYOnah2+00GvUUGxtOdXUtw3r9IpX7y2Pr2dCubKumlPAkTT4X1yOA4wuZKaMNfxlfYfDGtriyir4oWE9VrdVU0VJJSeFjerwWzqu91QecJRN4zVwfnHbC0CHXbmAj4ysMNmJkC34JFh5Y5Lsu9BNC453/jggKp1mJuV3eg8cWpQTTtxU7OK0cn5GTMGXEGdggKjhSMbLNTcO9KX4HjgkMXozvvKRZg2pgg+jgKJqZmEvbq3ZTUWMxe1nHRiR79N4aGNh2O0UERQz6dg4UXCcwgo/W53P0HeUYA712GjqaOF0cn5MYmqDZtgqCPxFuCqPMqHTKayjg+8+UuGzKisl01l5vr9zNDmHlteGUHpVGGZFpYmALgiAEMGJkCwFFbEgMrUhbSrXttRQZFMmLn5FIVFAk/0a6uNAVGLogOTzJo/pHLYBRDWMRNf67qvfxQlnviED1tg2ItEMXACSExtFIID0ylQoai9ggQOnF+OgMnz8L+3+w7jD/e0xYok/17IIwUpgYM57KWsq51OdA7SEqaS7lkqd2a4ezDAt6B5NjJ4pxLQiCMAoQI1sIOLCYhwE2klGNbBh2o1GRuTdwLFBGANIixg7pd0+KnUCVbVWcwr++ZIPz8dyEqVzC0J3CpmJqMjdxLfb4KN+N1aEE6fcQPUNaKxwEcFrFBEf3UAqvb2+guo461lSAfgJSzG1kpxBDMGeRwNDAuasqqo+PTh+mPRKEoQG11SeNW05H6vPpcP3RLoKMuI5mJORwtpUgCIIwOhAjWxD8EETgITyFaCDqz+NJMbpHO6iP7rB0cK39UEeHkfI8K3E67a7eT3Xtdc7HoXBe39HIIkaIbWMhnRgaz2nXYHLcRL9PFXdlXEQq5TcUUWtnK9eip0aM5fMRAmY4Bs1eOH7QUg8GdlyI6AoIgQ9KWOCMSwpP5HKfCFMEt8QLMYRI9FoQBGGUIUa2IPghMGYiTRHc97y2vZ7GUU8hndEIarFBYljCsNTaIzV8ydj57Pgw6g20s2ovC3sVNylK9t0JDwof8oj7QIFzByJtWyt2UG17ndt9g/EcHxLrVEbGWBh1BiptqeD+7tBSCDYEU1xIjBgXwqgDmUhqNpIgCIIwOhEjWxD8FKjPwsguaDxGMymbRjuq4jyAKNdwokam54yZQUVNJdRh7eC/EeEta6ng9GmkXs9OnDEihfdQcjE/eTYdrs+jTmsn15VCxR/ReqSPo4e7OybFZg35tgqCIAiCIPgbYmQLgp8yLjKVDtYdoYb2BmrvbKfRTnNnC6cw63UGjmT7S9S3e73x1LhsNroRyR3J7XlgUGNfBEEQBEEQBO8YeSEWQRglBBuCKNKkCOVUtx2vAR6toE86QC22Se+//kEY1kinHskGtiAIgiAIguA7YmQLgh8DVVpQ2VxNo52attoe/dIFQRAEQRAEwd8QI1sQ/JikMKX2taihdFS38oLKel1H/YjqOS0IgiAIgiCMTsTIFgQ/BgZlsBG9hzupdhSnjFe1VbOhjTRsqFcLgiAIgiAIgr8iRrYg+DFQpkbPZVDVVkOjlZLmcv49NjxZap0FQRAEQRAEv0aMbEHwcxLDHEZ26+g0stFCqrJVqUkfG5Ey3JsjCIIgCIIgCH0iRrYg+Dmq0FdDRyN1WM002kBvbJvdShFBERQVFDHcmyMIgiAIgiAIfSJGtiD4OSHGYIoJieyisD2aKGku49+pESmSKi4IgiAIgiD4PWJkC8IIICkicVTWZbdZ2qmmvc5Zjy0IgiAIgiAI/o4Y2YIwoozs6lHVyquspZzIbqfYkFgKM4UO9+YIgiAIgiAIQr+IkS0II4DEsDgKMgRRh6WDylsqabSpiqdGSBRbEARBEARBGBmIkS0IIwCD3kCZ0eP430cbCshut5PZaqba9jr+qe9oCLgId5O5mRo7GrkOOyU8abg3RxAEQRAEQRA8wujZywRBGG7GR6fT4dp8Njw/P/YVWWwWstqszucjgyJoesI0ig2JoUCguKmUf48JS+QoviAIgiAIgiCMBCSSLQgjBBiaGVFKNBtp4zCwg43BFGYKI4PeyJHfbyt2cIR7pIOofHGzYmSPixg73JsjCIIgCIIgCIEXyTabzfTFF19QRUUF5ebm0ty5c/t9/dq1a6myspJycnJo1qxZQ7atgjBYTIqZwAYo0sXR0iomOJrTqc3WTtpYtoUN7T01B2jOmBkjehDyG4rYWQAnQmJYwnBvjiAIgiAIgiAEViS7vr6eLrjgAnrmmWfo8OHDdOutt9Kvf/3rXl/f1NREF154IT355JN06NAhuummm+jhhx8e0m0WhMHAqDdSTvwUyk2YymnhMLBBkMFEMxNz+e+y5vIRK47W2tlGpc3ldKDuMP+dHZtFet2ImKYEQRAEQRAEYeREsmEsh4eH0wsvvEBGo5GuvPJKNqLPPPNMtxFqGOOIZL/++usUFBRE3/nOd/gHr58xY2RH+AShN6KDo2h8VAblNRTQjqrdtMy0iCKCwv3+gLVZ2qiho4mONZVQZWuV8/G0yLE0LiJ1WLdNEARBEARBELxlRISIPvzwQzr77LPZwAZTpkxh4/qDDz5w+/r9+/fz8zCwwfTp09lI37t375ButyAMNZPjJlJ8aBzXa8PQ9nfF8WZzC6059jVtrdjhNLCRIj42IoVy46c6I/WCIAiCIAiCMFLw+0h2bW0t11VnZWV1eXz8+PGcCu6OtLQ02rx5M9lsNtLr9ZSfn08tLS38uCAEMkitRtr4upIN1NDRSIfqjtKUuEnkrxxrLnE6AhCJx7YmhMYP92YJgiAIgiAIQuAa2Y2Njfw7IiKiy+P4W32uO6jZ3r17N11zzTU0Z84cevfdd+nyyy+nZcuW+bwdRqP/Bv0NBn2X30Jg4e34RhrDaFZSDm0t30n5TYU0NnIMxYXGDuo2QoitsrWaChuLKcwUShNjxlOIMbjX11e31tCB2iNU115Per2O5ibPpLERyTQakes3sJHxDVxkbAMbGd/ARsY3sDH4gW3k90Y2Fu+ge9poX2mkEEeDAR4dHc0iaCaTicrKylhALTbWe2MDRkBsrP/XtkZFhQ73Jgh+Mr6xsVnUomuigvpiKmwvpAkpqYOSet1ibqUtJTupsqXG+VhDRz3V1dTSiZmLKCok0u37ttVupzZdK4WEBtGY8HiamjZ+1AucyfUb2Mj4Bi4ytoGNjG9gI+Mb2EQNo23k90Y2DGWAdG9X8HdkZM8FfEdHB/3whz+kyy67jH8DiKBdfPHFrEj+6KOPer0NNpudGhtbyV+BlwYnUWNjG1mt/l2DKwzd+I4LHkeHOgqpuK2CCkLLKCZEuZa0wmKz0Nclm6mxo4n/hhGPtmL1HY1U39ZEHx9YTyvSFpPJYOryvjZLO5XUKurns5KmU2pEMjXUt9FoRa7fwEbGN3CRsQ1sZHwDGxnfwMYwSLYRPtPT6LjfG9lxcXEcfS4sLKSFCxc6H0ed9eTJk3u8vry8nCPWJ598svMxCKCtWLGCPv74Y5+3w2Lxf+MVJ9FI2E5haMbXSEGUGJLALb2KGkopwug+quxNVgnqpw16A/97e9Ueqm9TSjYigyJoXtIsCjOFcX/rr0s3U0tHK+2uPEAzEnO6fE5JYzk7rtCCLCU0mWxWIhvJeSvXb2Aj4xu4yNgGNjK+gY2Mb2BjHUbbaEQU8Z566qlcV221WvnvgoIC2r59O5122mk9XpuamsoR7jVr1jgfgwAahNCgSi4Io4mx4Uqdc2lL+YCUxqvbaujLY+vo06I1lNdQSPtrD7Hxjuj1opT5dELaEjawQZAhiGYkKIa10parustnlTl6eCeHjxnAngmCIAiCIAiCf+L3kWxw2223cbr31VdfzX2uYXCjpdeCBQv4eYicbdiwga699lqOWv/qV7+iu+++m43xjIwMWr9+PauUP/7448O9K4IwpIwJS+B07Q5LBxu7iaHxVN/RQBFBERRsUFrc9Udh4zHaU3MAoWz+e3/NQedzU+MmU7wbUTU8lhmdQQUNhbSv5iB/Lwxy9MSuba/j1ySHJWm2n4IgCIIgCILgL4wIIzspKYneeecdeu+996iuro5rq5H+rYKaawidqSJpp59+Os2cOZOj2TCuoTKOaHhwcO9qx4IQqC290iPT6Gh9Pu2q2sst7WBwG/RGmpEwrV9Fb7QBg5EMAxv11uGmMDbWO6wdlBGVTplR43p97+TYLI5kt3S2sGGP9PCixhL+rLiQWFYhFwRBEARBEIRAY0QY2aoA2hVXXOH2ublz5/KPKykpKSx+JgijnUkxE6imrZYNXbX02Wqz0Paq3aTX6Sg53H1EGU6rXdX7OM0cqd3ov41o9KTYrj3re8OoN1JK+BgqbirlSPjsxOlU0FjEz42PTtduBwVBEARBEATBjxgRNdmCIPgOhMoWpsyl3ISpNDU+m1amr+CoNCLKWyt2crTZHcXNpdTY0cjvn54wzacWYJNistjYxuesLf6aFckjgyIpKUzqsQVBEARBEITAZMREsgVB8B0Yuhkuqd2K0ayn4qYSTiNHlBuR63ZrBz9vtVmdtdOZUeksZuYLSAmHMNrm8q2sOg5DfUrcpEHp2S0IgiAIgiAI/oAY2YIwClGi01PZ+IY4WVFjsdvXwTCfHDtxQN8VHRxJy1IXUWVrFddio92XIAiCIAiCIAQqYmQLwigWRcuJn0xxITFcNw3DOyEkjh8HEUHhFBMcrcl3hRpDukTSBUEQBEEQBCFQESNbEEY5KeFJ/CMIgiAIgiAIwsAR4TNBEARBEARBEARB0AgxsgVBEARBEARBEARBI8TIFgRBEARBEARBEASNECNbEARBEARBEARBEDRCjGxBEARBEARBEARB0AgxsgVBEARBEARBEARBI8TIFgRBEARBEARBEASNECNbEARBEARBEARBEDRCjGxBEARBEARBEARB0AgxsgVBEARBEARBEARBI4xafZAgCIIgCIIgCMJIxGazkdVqGe7NEDTAZtNRe7uBzOYOslrtHr3HYDCSXq9d/FmMbEEQBEEQBEEQRiV2u50aG2upra15uDdF0JDqaj07TrwhNDSCoqLiSKfTDfj7xcgWBEEQBEEQBGFUohrYERGxFBQUrImBJQw/BoPO4yg2HC2Iejc31/Hf0dHxA/5+MbIFQRAEQRAEQRh12GxWp4EdERE13JsjaIjRqCeLxfNINhwsAIZ2ZGTsgFPHRfhMEARBEARBEIRRh8Vi7WJgCaObIMd5oEVtvhjZgiAIgiAIgiCMQpR0YkkRF7Q+D8TIFgRBEARBEARBEASNECNbEARBEARBEARBEDRCjGxBEARBEARBEARB0AhN1cUvv/xyKi4u9um9L774IqWlpWm5OYIgCIIgCIIgCIIwco3sqqoqmj17NkVERHj1vo8++oisVkXdTxAEQRAEQRAEQSCP+zy/8cYrtGnTRm5LNmFCFl1wwcWUnJzifE15eRm9/PILlJ9/lG210047g1asOMn5fElJMb3yyouUl3eUoqKiaOXKVXTyyafIEPhLn+wf/ehHlJGR4dV7Nm/e7JEB/+qrr1JFRQXl5ubS+eefT0Zj75vf3NxMr732GuXn53OE/NJLL6XIyEivtksQBEEQBEEQhNFntJo7Pe+xrCVBJr3XKtf//e+z9PHHH9DNN9/OBvTbb79Ot912I/3vf2+RwWCgI0cO0y23XE8nnngyXX751VRYmE+/+tX9VFRUSFdddS2VlpbQ9ddfRUuWLKMrr7yWyspK6fHHH6HGxgY677wLB21fAxlNjew77riD4uPjNX8fUtAvuugiWrx4MRvYzzzzDH322Wf01FNPuX19bW0tXXbZZTRmzBhatWoVffzxx/TKK6/Qm2++6XWUXRAEQRAEQRCE0WNgP/z8NjpS0jAs3z8xLZruuWKOV4b2tm1bKTd3Bp1wwon8d05OLh0+fJgzhWFk//OfT1F29mT62c8e4OcXLlxMQUFB9Oc//4HOPfcCevHF/1JKSgr94hcPOT8TrzGbzYOwh6MDTYXPzjrrrF6N2A8//JCjy96+DzzxxBM0Y8YMevzxx+m6666j//73v7Rx40Zau3at29f/+c9/puDgYPrnP/9JV155Jf9ub2/nyLYgCIIgCIIgCEKvaNcueUg4/fQz6KOP3udo9DPP/J0OHz7EhjYMabBnzy5atGhJl/csWrSMzOYOOnz4IO3du5vmzJnf5fmUlLGUkZE5pPsRSGieLt4bMJCnTZvmdSQZ3qQ1a9bQj3/8Y+djSUlJNHfuXPr8889pxYoVPV7/wQcf0F133eU8sfD7d7/7nfNvQRAEQRAEQRCE7iCCjEjySEoXX736LMrKmkiff/4pff31V/Tvfz9DM2bMokce+QOXy6JOOyQktMt7QkND+Dei3Z2dFgoLC9N0P0Y7Q2Zk+0pNTQ3V19f3qPMeN24cHT16tMfrS0tLqaGhgaZPn07vvPMObd++ncaOHcvp5jExMUO45YIgCIIgCIIgjDRg5AYHGWgkkZ09hX9uueV2Fi+77ror6IsvPuV08LS0dCosLOjy+oKCfP4NcbTU1FQWPhNGkZHd1NTEv7t7V/C3u/Rz1GODhx9+mBISEmjWrFn0xRdf0HPPPUevv/46JSYm+rQdRqP/thQ3GPRdfguBhYxvYCPjG9jI+AYuMraBjYxvYBNo43v//ffS9Okz6DvfuZT/NhoNnN0LfSpwzjnn0x//+Hs666xzaMqUadTa2kJPP/0k13Gnp2fQGWecQw8+eB9dcskVNHnyFH4Pnu/oaKfbb/8RjTR0uuO/7Xbv328w6AZs+/m9ka2mS+BEccVms7lVF8fjAMX7v/3tb/nfV1xxBV1wwQVc2/3LX/7S623Q63UUGxtO/k5UVNc0ECGwkPENbGR8AxsZ38BFxjawkfENbCIiQkiv12tiVA0nF1xwIT3wwM/pf/97kdPDi4uP0SWXXE7Lli1nW+qcc85lRfHvf/97XGuNrk3TpuXQL37xS97vlStX0qFD++nWW2/grkxQFY+PT6CHHnp4RB8Xg5dOFJtNx+dDdHQYhYQo6fR+b2T//e9/Z8PXW+Li4rpEtFXwd3R0dI/Xo68bOPFERV0P4GAtXbqUNmzY4MOW44DbqbGxlfz5BMJNoLGxjazW4akfEQYPGd/ARsY3sJHxDVxkbAMbGd/RMb7Nze0coLNa7WSxjNw19MyZc+m1197lVlxtba00dmwa62Bhv4iUQOWtt95BV199PZWWFlNcXDwlJCjZvep+f+97t9Jll13NaePR0TGUnJzc5fmRhE6njDHsIm8i2TheOB8aGlqprc3a43mcM54a7poa2ffccw/deeedztQEV7Kysnx6H4xmGOeov16y5LgqHv6eP7+rCh5IT0/nVPLuRnlLSwsrjvvKSDjBcCIdq2iibw9WUUSoiRKjQyg+OoQSokPIZBxZdSWC+/EdCeeh4BsyvoGNjG/gImMb2Mj4BjaBFJxCq65x49L7fA0Mb9Rt9/W8mi4+krE7DGtfUsWBFk4XTY3sb7/9ltra2jR/35lnnsl9rs8//3we/C1bttCuXbvowQcfdHuCnX322fT888/z+2BwV1ZWcguxW265hQKZXUdr6InXd1GHuafnJSYiiBJiQtngTogOpeS4UJo5MYHCQ0zDsq3+js1up9LqFj4+0RFBpPdS5VEQ/IHW9k4qrGhWrn9xtvUAZUjlta18E8bxCTL5vzOyvrmDahs7KDEmhJ2p3irQDhTcXwormnhejI8KIWOA1DMKwmDOMyXVLRxMTIgJoZAgv6/UHFYaW81UVt3CQaK4SKRyaz/HYd4fEzv0JZZWm406O20cCTUadEM+f3tzzpphYNqJtxNj4K/b6s9ofqVfcsklbOh6Q11dXZ/PwzjevHkznXPOOZSdnU2bNm3iyPeUKYqnZf369fTee+/R/fffT6Ghody+69Zbb2UjGyrjMMoR9UbP7EDl002F9JdXd7JxOD4lkqLDg6mqoY2q69upo9NK9c1m/jlS3OB8DxZot10wnbLHieq6K81tnfTn13c5jxUWkWpGALIDVGdFYkwoPx45DAtdQeiP/LJG+tNru6ixxex8TDG2QykzJZJWL8yg2Ejfs3tGOljsvPDpYVqzvcT5WHQ4nJEhNCYmjJZOT6ZpmUq5kr+wcW85/fP9/WS1Ka750GADz0NjYkIpMVb5nZkcRRnJkYPy/WU1LfSHV3ZSdUM7/w3nY1xUME1MjablM1JoqgbHC+VZX+8uo4KKJjpzUQbFRQ2sJk4QhhOL1UbPfXyQ1u0qcz7GmYa4ZmOUoAfmHP4bRuUod1ztyauhv761xxksgoEXH63MbTCK8XvcmAianB7j07oL8/6Lnx2mL7eVUGSYie6+aj4lRw+Nc7XdbKHKujae4xgdkYmNbT07eMNDjH7h6IWBXdPQzmthFRxrbKfRqHNuM8YGtdr4twSi3KOzd1cUGwB/+ctfnOre3nLbbbc566/dgR5uMLRhkOfk5HRp6XXkyBGObJ911lnOXtjYrR07dlBJSQllZmZSbm6uT9ulfLeNamtbyF/ZtK+CnnpnL/97UU4SfXf1VDI5RApwHHChYFFUVd/GF05VQzvtL6yjitpWCgky0IPXLeAJfrSBYwPHQ1S4iQx65XhV1rXyIrKiro0nEOjowXHRF8Emg3KTjA5lB8fKuWkUpmGGACYxCO/V1bVIungAMhjju+NINf397T3c4xMLuk6LjZ1trsDAvu/qeX5jaKu3oqFwWGGx8/e393L2D74tKMjgNgPomtMn04pZqcMyvq3tFgoJNvDiBcfmg42F9PraPH4Oi7GWdkuv7z1h5ljedi2P5eHievrza7v4e0ODjXxf5EiHC2csyqDvnNh7aZgn4/Lkm3toT76yjkhPiuBzVAujQ13YahkVk7l5eME1++3BSjJ3Wmnu5DEUFa6s//xlfNs6LPS3t5TzGZdiWHDf1y3A6+Iig3lNBgM8Z3wczZ86RjMjBkb/l9tLqL6pgyLDgnitCEesQa+jkGAjO+6SYsMoMzlyyA2+dTtL6T8fHeQ1FwxgzIGqQ7E7S3KT6bozp2oLwkAAAQAASURBVPZ6XDBnYt0bFRbkbMPlOu+rYH9/cc1sspvrKD4+hUwmbc8hlZb2Tg56YbswB/G60s2uYVuRITRcxjbmycr6NmrvUM5TiMEpNd19g8g8nPg4p3xfj3dQY2snhQYZaExsmGbXsLfXbmenmWpqyno9H+Liwj2uydbUyA5U/N3Ifn9DAb3xVR6dtSSTzls23qOFFW5Kj768g46UNNCsiQn0g+/MoNFEbWM7R/mOVTY7ozGIThdXtbBTApPcnRfPpKS4UKpr7GDHRHV9m/IbGQKOv2Gkd2dsQjjdc+UczVLxZSEX2HQi0vHJISqrbubo8pxs39oMYgHxvy+OUFFFExWUN3EKNBZot56Xy8401dlWUddKb68vYCfb9AnxfJ4PN98eqKTnPz3EC8yT56TRyjmpmjqqVPbm19InW47xIgL7jwXmjWfn0JzsBF78whGJY7TzSDV9s6ecHW0PfHcBX9NDdf3CGfLP9/axtga+H5EtLM4xpuC0+ePo4pMn8mdhPqqqa+P9we/yulbal1/La7czF2fQhSuyBjRH/uPdffzZYSFGKqlS7oHjU6Loju/M4EVwQ4uZymtaafP+Clqzo5Sfv+LUbHY0esvBojrOLCiu6tqa89xl4/lnoNGxf7y3j1raLJSWGM6OgNwJ8TRQZG4eHmCMfbWzlIoqm9mBCOBM/MllsyltTIRm3+Pt+GI5/fLnR2jjvnKKjQimNjPmlHYKMunp5nNzea0FwxFrCDyu/FbmHPW3uj+unDAzha45fcqAnWZwSvzljV20t6Dv7FHVkXfjOTl8jxhs6po66H9fHKbN+yv578UIFp2hGNC1Te0c/VXnuLKaVtqdV8PG96UrJ/F86G4c/vXhAVrvyB7AXAWHBcqnEEDBvP/d1VP4HDpQVE9T0yPpkuUJlJiYQqEDVJPu7mTBHAkbQh1XOCjhQMFQWlDz63gOr8X5gskb4xwZbiK7jXhbsf2D7XzGMcO2NjSb+d/4PmRa4D4Mw9tiUzSBnNsMjSBHzbKrGcnZnV4a2na7nc8BNesOBizmaS32WYzsEYC/G9nwNAWFBFFnR6dXHhvUCD3w7GaerH508UxNFh0jgeLKZvrDqzv5onZHRlIk3XHRDIqJ6D/C12mxKgY3jJfaVo42wfDGTeJ7Z+dosr2ykAtccA7+6bWdVFRx3LC45bxcmj+lpwhkX+Dm+MdXd1KhwxADy6an0NWnT3YbBUTa7y/+qVz7d18+myanx9JwAaP3f58f7uLUxwIPUYrZk3xzOLhj++EqjpKqkREsymEsZqVGu73p//HVXbyYm5oRSz+6ZKYz22Uwr19EOzCOR0saezyH5calp0yiU+f1XFS6sm5XKf3rgwP87xvPnkaLchR1WG/AvPbQf7b2MHhnT0rghTeyd9w5exFpR0Ts7ivmcAq5p2Cx++8PDzjH5YcXzaTy2hZ65r39/Nhdl87yORV9T34N/enVXV0iYli833XZrAGf9zI3Dz2ffnuMXvrssPNvOMgxx8EQy0qNonuvnKuZQeLt+KL05L8fH+zyWFSYie64aCY7pzw1dBDxRLkfHKafbinmqKev17IKDEzMaQis4BqF8YwoLrJR4MTDY21mK7W0dbLzAgYPDDxkkiA9e7CAAffr576l/DLl3nXWkgw6f/mEPsfwy23F7JjG9j9y8xKeM1xBuQnKatwBg/UHFyrzPhzP9z+7mQw6K129MokiIhMpOCiYYiKD2RgeCHCWwgHpaoBGhEHHIrjXfYPxCmdL96wqGLoweAfL0MY2wonR5siyQKQd2QxqBkB/78UYNrSaqbHZzNsIp7SaTesJza1mZwkSMusiw7XTQRIjewTg70b2QG70L39+mBe5qHP58aWzuN64r0gZIr3wMI1U4Q5ES/78+m72GmIiwCIbN2jFi4xaGaJ5UxJ93r+jpQ306/9u5X8/8N35lJ408NpIWcgNLrjRfrGtmA3eudmJQ+ZsgqH7+P92Uk1jO3t+cRPNK21kA/Phmxb3WDj0Bs7b3724nW9SeM9FJ2axNxnGYV83ZSwGsSiE4XT7hUOfyYKF48ufHabPthbz38tmpNDkcTHsqEK0AmDhh8hUakI4LZyW5HNUBWN73zOb+LqfOzmRPyd3fFyf9b4QxsECDFGGk2an0pWnZfu0yPH0+sWi7OHnt7LDBecA9DIwjijxwdimJUZ4XGv9+tqj9P6GQgoy6unHl832yuAFL3x6iD7fWsznEyJoCK8gujBjQnyv6dZYbCE1FhF4TsG8dj4v1DwZm3uf3sj7n50WTdesnkIp8UrmAAxvGOAp8WFc1uRt2jgMi3ue3khNrZ00b8oYuvjELHrlyyO8jchc+vX3Fnm1GOyOzM1DC+6vv3luK2fpnDIvjSalxVBOZhyfOz99agNfqxeumEBnLs7U5Pu8GV/cR37yt2+o3WylE2en0syseH4M80y0Bw773njn63x6a10+OxMevnGxT+cr5nlc03A0waD+4cUz+5wTYOyhNARp7kmxoXwtD9To7I0Ne8o5ywTX9k3n5PD87Mm944Fnt7ATsPt4QzTtZ09v5MwkPIe5W8kUQI2xmWZkJThLpDC+nXYdvfLxHpqZYaCQ8AQinbKfqP/2NZsKRmdpjXLOIO0bZQycjh9k6Pcegvc2tZrZ+YGXcl20nTj6He7hmsBbMAc3NHdwrUJ0uIlT7L3tLa2KiMJBACdscnyYR/dL2FcI+GG/EdiCg0NLhtvIHr3qCgKzemE6T7rwYv3m+a0cSXE3oWGh85O/beAb3F/e2N3FOzdSOFBYR4/9bwcvtLGYQ0o3Ji5MuBB/W5Kbwgv9gTgQssZG04KpY5wed8G/QaQAhhQWMWt3lNLjr+xkL/hQiJLhWoKBnRwXRo//8AT6+bXzKDUxnBcHn2wp8ljE5a9v7OFFBIz0n101l5bPHMuCXf3d4E5xpPSifttVHG0owJzy7w8OOA3si0+ayOl7S6ensDGFFEBsPRaFiM4jdRsRXqT9+sKLnx3i6x51hjefm8M1y/0JamFcvnfWNN4O1DBi7thyoLLXuQ/p1RA4+vkzm3zaThjGMLBZjOfyORxlRYojfuO4eCNmhkjQjKx4Xqg9/c5etymofWX6fOEYl++dPY0Xvah3RaprX/XMON+Q4pk1NoraOqycKfG7F7dxl4a+eHXNETaSEIX8yRVznAY2uPikLF6gwuny8WbPrglX3ttQyAY2jPTvnTWVncjIkEDtIK4ZONeEkQGuu1e/OMIGNhxul62cxBk/KGXAPRypw+DNr/I5WjvUYM6GgQ1nGBxy6N6C63YgBjY4fUE6n6/oKIB1mLeglAMOVcyluJY8yTKBwYuMFRj2SK/G3MdGmMbg/gUnAjh3WaZHBjZAlHPVAiWjZ8320i66OZ9sPsb3UIzDqgXpbCgj2IHPhr5Gdw2SMXFhdNHJE9m4S4oLcxqyvaXue0JDSwcbdsgyhZMCzko4KTwxOjHH4pxRa/IhYgxQrzwY624YxerYwvEYGxnitYENsG/YXmw/5vPeMkVdwfGF8wMGNtoMo2NFoCFG9igHF/Mvrp3HNchIc/56d3mPSACEwBBRUJUG9xXU0b7C4zU9uPDhjYTQkq+L4MEG+wFvKWpIELn7v0tnDVr7slMc6Zyb9lXy93pCf+JqgvYgjfS3L2zjmwEMKhglAJHUwXQiwZGFVntYCMAggXGdHB/O6cjnLh3vXDh4coOHYwDtlBD5/Mllc3iR4CnI5EBpBHYVhvZQ8ta6PFq/u4w99UiDPH1hunMBggUeFsyP3LKYUxVRU446dWzn397eyxkA3gDdha0Hq/i7rl09xau0b0Q/1cU75j1Eau/++wb606s76Zn39tGnW47xNY60cjhrYIzDK49smX0FnouAQnARarcAhv1A60qx0IEzwRdjEvoeOPvnOSL+3oCFJKJRyDzA+Yt6x7+9fVwpuDuIfGzcW8H/vvyU7B4pglggw9AG735TwAtNT0F20mcOR+clJ0/kRRyAE/W85RP43+99U+DWsSz4H3sLaulQcQPPD3DKdTdYELGE8CvupU+9vbeLMvJggzngs2+Vawz6AVoqLSMSevaSTOf52l3Asi/wWjj+wNLcZPr9LYs9Tv2GYXjLublcT44MK8x9Wt8XUTMNIx7fBS0Ob4CDBfMNHNUQ8gWYZ9buUObR85aP9zrzBa+HoYlILAw/zCHe7jMis40tyrkHR64vBqsrEObFuY75FE4crVHnVDgXPM2e6w1kWeD4ATju2xziae5AWUJJVTNnyLKBPojp8MOJGNkCq/idsUhpXv/u1/m8iFWUGRHd3sZiQZhosVA5aY6itPsWFmJ2O4t4IPoHAxaiFfj3s+/v7/PiGg5e/yqPjSmkAEHoSF1wDQYwnLDIRMoVIl99gQXBfz86QD/44zpuzyMMnXDOH1/ZxTetKekxdN/Vc9k4wHmOqNlhl1Z3WvP+N0rdPgziH10yq4tIyOzsBDaMsEDEorIvcO0hAg/OP2ECpxZ7CwS/wLZDVTRUIMUPqczgujOm9lpnCK/4hLFRbOhibBB9wbyiKFx7voBWswLmTR7jU/nGqfPH0UPXL2DlbNSosTDa0RqOrr/0+WG67Y/r2BEJpwmizUgPVdMtUQfuySLtrfX5HGnKnRCnWbkCjElEtMG7Xxd4ZHQgAgiHC9Y6OKd8AdHiB69fwJlCyJKCYBoMbUStuvO5wzBBam1vNauLc5I5yg2lfBgZnvLql0fYqTotM7aHswB6BWrWyIufHh6RmVmjjQ83FjmN6d46Ilx56mTO6IHhhY4rQ+W83rC3gu8luO9jDtcaZCchEIJ6bW8yOjbsLedzHIYPsky8Xfegbvnn18xnoxMODpRZaAXmcLVbAkR7vU1Hh/Nh0bQk5/0cwHGL/UX5IzJvfEEx+JSILASC+3LsYd6AMBscuTDIYQjXNCkRZ2wf5r+BAqewavxqnXEGJ4y6Vse6QwvgGEXtOahuaON7YXdwnNQabBwnBDnc6XwEAoNiZG/dupV7U3fnd7/7Hb366qtksfiXASYo9ZBY5GCCQu3izY+t5fRwpPrhAr/nirmcenPOkkyu8zta2sgqmn94ZQcb4fBgISVP55jokNrp7uIaDjBJqpPwNasmeyTmMBAwSaO9BMBCvD9PLlR5Wzss9PS7+5yRF2FwwM3vza/yWHkUCzAI1MHQxY0BN/kFU5Wbti9peZ4ARfrPtipjjHTH7gsL3FCRmgu29uOgQVo7DCfcoFbMGuvT9qhK5oi6DpVj7LU1Rzkqjfp3pFN6AuaX718w3Zm++Pe33Btt3cGiBC0OwWmO9EJfSE2MYEXqP96+jHUcEBFHxApznsqJs8ay6BLq22HUIVX7idd3c4T7WMVxQbruIFVvi0NV98ITfFcDdweOLzQ0ML+8sfZov9eG+hq8zzVt21sQyUO9LATMcL9Ay5z3vlEcK67RP9wrwCluFIJd59MLHMcFmRu4hvrj0LF6NgjgLLj05Ek9IiRYQCNyjodhiLy9XnFW+Rs4xzEXIesGZRPIAHnyzd2c0j+aQKYHopUYRXdq0ipIHb/tghnsLMW6BKnSQwHEBsEJs8YOSr9gRFgvPFHNvijk0pT+wPWMTBs1u87X1nVwHCDTSC1p8TWFujvIGMP9CxlVJzuCN96yfKZy/0CmEkq/cH2oc/1AWvXhfgOnBoDaNtaQiFB3d8ahFAViX3hOjcy2OpyZcARpFZlFNBuwArmG92nVaEcUW4vA0+uvv0K/+MU93IIOx9BqtbMgMI7Pu+++Rffd9xNed6kZAliL4x7q6Zr8s88+pttuu5FuvfUGqqgop7///S90443X0oMP3kejxsj+xz/+QZdffjm9/fbbPZ774osv6L777qM77riDzOahrQEU+gYXGBaPqGPBPIKJFPMDom1IO1TrAZFejsiOWnMMYxuLqJ9eMYdFZFDvA3EHRAJ/99J2XlwNdb1nd7CdiGggGjIlY2hUlBGdw/SK44BJxh2YbJA54MorXx716AYqeA+cPlAcRdqp6j2/4axpXVLKVGMVGQiDkUaKVFycixAlmz7BvVoy0nTB9sPVvTqqcINa40iLO3Vems/K11jgwOuPbYJmwWBzpLiB5wSIwHjbTzk6PIhVYXkBXVDHBixq2/uKQmIcsW+oxYZewkCBtx21lqjphpGNOe/x25bSY99fSlefPoUXFvi57YJcbmOF1xeUNdEP/7CW3l6nZNN05+s95RzFxvzkTd21J6jGJIAzz7U/rDvDFOndaBumli0MlIkOITPwzvp8ztpB1Aes21XGkRQs4qf1My/jekFEGsfpTUf2Rl98tEmJ9i2fMbbX1Ht8piLqpkT6sf/+Bsq08AOBxAf/vYXe+bqAnQd/5nIT/01zx7gik+CFTw55leLfG6ozBi0J+8vYQTr0mYsynFlDnmQp4F6Mko+tBzFfeGdEIpUaWgq4jyDrYrBYODWJtWOwfbiP9AecDMjKwnps+QzPnJm9AccGVNIrHfXZEKADEOhC9gucQN4Yf0gR/srR8u/CEyZ4ndatkpkcRZPSonleeOBfWzhIhPH31ensCqdPhynGLXqKY97CD5yiOKdgVKvzOV6rGoowrJExqaVQHNbn6rbAQO3tWOO4IvruCUiHRzYcgA6IFtTUVFNRUSHfd3AMDAYlzR1lQeWVlVRQUMDnELYRr0mMDvXYEdHQUE8PPfQLmj17Lt166x20a9dOevnl5+nqq6+jq666lvwVTeUCd+3aRY899hjdcMMNdOONN/Z4/v3336d3332XHnjgAXruuefo+uuv1/LrhQECUQwoYqOmEBMGvFHuJj+kIEIFEAs2TPjnLM10pvrhJoB+kE+9s4cX1Ihow7OLSDkmerxuIB5Gb8H2rdup3KDPWJgxZDUf8GJOz4rnY4RarStOUxa6ruSVNFJNYwffBP/0g2X0e/QtL27g6PY5A+wLK3QFN5Mn30KdbB2fj2htBUOpOxNSotjRhJTmDzYU0kUnTdTsUOLmqEZV3dUUqiACiAVNY2snG77u0ocPFtXzAgrX6UDaumAbYLxU7mhjA2u2jz26PUV1DGAx6k39uArSvVHuAf0HXFv4QaQWkVcYVIhkuaJGstS0wsHAXas/LIrQL/qsxRn0zw/20568Wk6NfGNtHteNwrhDmhwWa2rWhLvzUQvgWIQSM+ahf32wnx66YaHb2jt1O3AsfSk96A0ce/QdRzkRDH2k1sJRizY8ANvmybyMaPa+gm858owMjN5EktAHHt8H1Ahcb+CY85zLLX/20S+vWzjomU7edMJw1UiBMxvpu4joItUSwoG3np/rd3WMiL7/5fXjvZhR9nLvVXO7nHM47zG/YZ7rbfvRRq7TYmcj/fOtJc60aU9YOXccfbCxiNcy0I+BAnlvQL3/H+/u5XRo1eCAQTtrUgJNGx/HWSgfrs/j/YCxiXMPWQXIDoGh9fbXBc4a4YHWtPYFjhMckw8/t5Uz5JAJ1Nt8jX1CKQvA2mugBh/eD4f0n17bxc4odFDBvrqWoGCtiLLDc5aO73eNB6cWDGKIgsFpORDgRHz05e38edAmwdzqq9O5O4hmw1GK8i5EY2GYshJ3i5n/rR4bpOOrddNwIA/GGjcuMoQ/H3XnyObCsVPHFduCtPXm1k7u9QixNIiI9ZVVgfMX1yHGbTBStXEPTIoNYwMb241rBevxdjgIdIpaOpS/PaWmpoasViudeurplJ6eQbt376TExCRatuwE8mc0NbJfeukluuyyy+iuu+5y+7zBYKDzzjuPD9QTTzwhRrYfgsmhP2EMvAZRGvy4AwJS9187nxeVuBlBuRwLOPzA+ER9JYxxd20LBqrE2R20oMCNAFGwGROHtg84FpIwArCAO2tpJi8aIIShTnyq+jhu5piQUGuGBR9SzxBlHUpnRCCDzAD0B4XhjJsJ+lCrImfuU1MncKQIre0gxqKVwYHzH7dlGLV9RSwx7nMmj+G2K4jEujOyVeNx4VRF/GWgRpgS5aymS1ZOHJR0R9XR8a0jBX4gkQYscn9xzXz6YFMhfx7aCv7viyPsnLrtwunOtlEYd2SSYG/mO8oAhhrMZ2ihtTOvjt5bd5S3B0YmyhNghEO0Dp59nJfe9kb3hu+syHJGtiDYhjnY9bzBHKnWW2JRriW4prBAh+I95jzUaKu11aiL9rRkAPX5MJoRpf73h/tpfEqkW4V41HnjOsM1jlKK/rjslEm0v7CWVW6R5eJthsVggMiq2gsaZQjYb9w7cZ8oKG9kI2froSp6be1RNmr6WiQj8obSBSxqh4IvtpU4DWyARTaEAu+8eCaf93CC/P2tvXzuo34apRVqhw/oLmAh/t+PDtJmZKE4FJqRjYLnIFrqCXC24TxGGzpE1LOvmus2HRYRtUf/t6NLthlSgNH1AD8wmFz7q//97b09HgPcOtEh0DeY4BisclwDz36wn+6ND+tR1oG1FKLNOO5wGKhR/YGC+9CvbljIehow8lUDW21PBeMTmRaIbGN+cdUa6d5N4ENHpgmc2ANd5+Be+vtbl/A8inNcywgy5i7sB35gkGKfsZ+qgY19d00LH0g7wP7g3tVxYUoku93ChjZ6bsNIhgaB2qZq0zdraNuWb6i6qpxMJgNNmzqNrr76eoqJUdbciDS/9NJzdPDQYQoNi6CTV55GF553rvN71Ofz8o5SVFQUrVx5Gp1++pnO50tKiun55/9NR48eocTERDrttNW0YsXJbrc5yGTgbDlkAqjriq2b1tL6tR+TxdJJq1efRWeccbYz1Xznzu30y18+7Hw/HtuzZxe/5g9/+B0/du+9P6aoqGgqLS3h6Pa1115ON9xwEy1btoI2b95Ib775GtXV1bIhfumlV1J2tiJciij4lCnTaM+enVRbW0s33XQb5eZOpxFlZB89epTuvvvufl8HQ/v++++nlpYWCg/3ve5L8G8xNRgzAJ5P3LD25tfwBPX4/3ZwzTImKEQSsDj+aLPS/gI3qtULtbkpAFVMDC0/tPJuegpSIBFlgxFw5xPr+TFESaGmjIUDDCjMO2jRoaYJv/gp1DI7aF9hLeWOH1qnQCCC2sU/vLqTzzs4WlAj2l9KLpweEENDZBeLGXdZCL5lVCiRQjhT+mP+5EQ2srGYQYQWabeuC3CkkqtiXgMFi1wItOCmve1gFQuNDQZwDGCxj/RgGEwDASnAiGjDUN28r4JrahG1+tnTm3iBjUUvnFpg0riYXoWShgIsLk6eN45mZ8XRln0V9MQbu1ntG710tx1SxhGCZwNpHdgfWOygHReMMzj+UCd+5WmTuWQBC0Qo8iLaALV5ZHNoDRaCmOuhgQAtD6Tmwrlz3jLvFIDhAEOEN7+siR59eQf96JKZLJDn6shZp9Z5z/NMrRiL8stOyebWlBgXCNx1z4gYanYerqaiymbOcoIAnavBghTZC1ZMoFe/PMpiYHA0IXoHJ0Z34Fh8+PltnEYKheqzl2byfZAjSmbrgCKvcKCj9zK2EUJR08fHcaYJNC/A1asms+GM3u8oK/u/v37DmgowhlQjFY4NGOUqSP3FGOJaVoGBjbrN2y+c7tW5Akc1up4glRula8gewj0g2HGddXZaae3OUjawEfWDngI6jmC9AocoSlEQsYQBiTR1RODyy5v4OsF8CYMu2KTndQwcHe4yWgYDZBIePlbPx/RPr+6in109t8v5AbFFGNgw+H586WxNAxcw8tACD8rdOG4ZyVF8rcAARZbWvz86wNliv/z3Fp5fukepcVxVAbszF2c4NUEGCuZOX0Qt+4NLDWzH068jgvUUFqRElHWOeRXPD4q8nr5nT23cS3DeqYY2MhZUoGK+ef3H9K9//IWuuf4HNCYplcrKjtFL//kb1dfX0y9+8RAVFx+jG264mo3iiy67gaqqyuk/zz5JZG2nCy+8xPn8SSetpJtvvo3Ky8vob3/7M7W0NPPzVVWV/PyqVWfQ979/Bxu6jz/+CBvel19+de+K7TGhSivG0mP00fuv0ve+dyt/1p///BhHqJHuraaau6I+NnVqDt14461033130803384Ogy+//Iy+/PJz+tnP7qekpGRas+Zz+u1vH+LPnjQpm7Zu3UI33ngN/f3vz9DEiVPo2LEi+vzzT+jHP76HQkND2QgfCjS9k7S3t1NYWP+eY0S0cZDEyB4d4EaLH9RpoQ0EFnmInAF4Pl15fU0ezchK4IX4QMH37XAYI0jRHGowQeJGA6+yKhaCRc8v/7OF695VA0e9OcDTDgMH4j47D9eIkT1A4HXm/p4tZl6k3XnRTJ7sPQEL0gNFO3gRduaSjAEvoHYeqeH0SCzmYMT3BwwQRG1gTL+3oYCdA65lBtgnGAdaaAzgc2CQ4FpEJA9puIORgoo0X4DIpVafj0XxSXPSOMqCel9E0DDurmmMKGfxF5DeqY7rM+/uo+Y2Ra9Cq8VmX8A4+/Gls+iZ9/ZzujFKeVC+A9Ehtf2Qp6nbvoI57qpVk31+PxZsN52by/23YUj8+rmtXKevlishCwjplLje+0oR7g6uSURcIPS5dmeJR45eRLO+2V1GjW0WOmFGCqdzawFrdTgi/cikcRcRhGM2MjSI3lyXx4YqHA5Q6nfNQoAh/fQ7+5z1m7i+4bhLjA2l4soWvj+iPZ07ITEYF8g4gCMYaaUo9VLvU3gO96gXPzvcpX4Zn60CfQE4VRB9g7AksieQRYEf1al0yUkT6VhVM38PjAZ0OFC7OiAyD2MOkWZ8x6JpyV6n8cOghmGOrKSjJY3sbOgNlJKpkX6cC/jB+NY0tVN6aix1tps5UohzC2m5nOo6wNZMvgLjGeKKv/rvt5wlCOcQrmtcWxibjzcrGXIYV0/bdXkLMkhcs0gwZ6BsCc7Pv76xmx22SC3H+uacZZnsuIOBjQwF1QECh5k/g2PZefArsjf37PKhzpCDqTakj4gn4+Tlbg1t6KgghR3Zn3gaTgY4sJYsXkxLlyzhNGpEt7MmTqGi/CO0f+8Ovt5feOG/NG5cOt36g59yhsuckLm0+pQVTo0s9fl77vmF8/vmzVvgfP7ZZ/9B06bl0g9/+GP+e+bM2RQSEkIPPXQ/XXjhxf3uk8FgpIcffpwSEpQ1UHt7Gz399JN08cWX9fm+iIgIp1GcmTme0tLGcU22yWSiSZOU+8kTT/yBrrvuJud2zJgxyyGO9ld69NEnnNt71lnHo/YjzshOTU2lgwcP0tSpU/t8XXV1NXtW4uMlUjeawI0TNz30RcWNFdFaVTDk0pUTaffRGm6Ng1RA9PwdaOoNatcQOUNdDSI0wwGcC7/53iIyW6ycKvfvD/bzPrq2knEFNyUsYCAkIgyM5z856DSw77mya01gf8B4xUIRizO0TLnkZCXlaKAZFahF9iSjAjdWRF5gjOG6wCJUXQSq7bbQ9kirhR7UZ6H2CmEXGC8DUZZ2Bzzuaur2gqnaR8pxbLCYx8ICC2FEwg4eq6dpGXFuI3zDCaLvOBZIlwWIlPVWvqA1k9Nj6ZfXL+DIP4wiROv++X6js4WLqq7vz2CBiagjMlRwH3noP99ypgIeV420U+eN88pZgIUrDFek4EKLYUluChtpAMcI6e1YyCbFhdKk1GgWOvrPRwf5ObDtQAXdddnsATsoEEn/ZPMxNp5gtPempI3vgUENh9iLnx3i2m1sOwx0tbYf1zOcuqhThcYH2v3B0YcflZc/P8yRcGQ0wEhDOjIuUhhDeK9zu7YWc31yVFgQNbR0cLQSICNlxoR4TrGG3gIi1Lhvw+BX04DhAHnwugXcVQDH68zFmc7zHar9KnjuPx8doPYOK5d9IOtLi/P9we8uYKcFsoLUNF/8H8cXhjvKNNTWpK5g+zEP4r5R164YGYoa8vBnXyIqeMdFM+k3z23lcx5p7MgchPo30rUhXthbOd9ggjH7xbXz+XhD2RwZK/iBAVjbqIiErZyTxpHwkYCOdIMTpR4guP4x53XP0EpJGUsdHe20detmjgAfzcujzRvXU1hYBJXXtNK+fXto/vyFTscbMjIiY4/fj/fv38tGtSuJiV2fR3QZKdoqnZ1mMps7qKio/9ZyEyZkOQ1sABEzBFsRQR8I2CYY1K+//j/64IN3nY/X19d1ET6EcT7UaGpkr1y5kv75z3/SqlWrOBzfG6jHXrBgAUe0hdEFDAy1Bg8eaqScQTQCKU2IRh0q3sKGzb8+3E/Xnzm1h0GCyQGiT5PGRXMUqy9gnADUYg+nOIxrTe8PvjODo6MQQHIn3jMlPZYNEXiCYSCqCz3B+9RkCC3pHfWg3qZF4nw5c1EmR0GwgL1wRZbPBi1UgHceVTIqlnghUobUvJzMWI7Ofrm9hI1u3DBUI1vL6CeODwTX4JhC7a7WC0m1hnxyeozbOlot4P6mjtRhLN791WDE/v/fJbOcYj1wvPQ3l2kJMhcQwURaNBxIcOqFhxrpxnNyBrWmUOtjiLaSMCxxPaAcRFX6RZTU0zpvV5DtBB0GGJePvbyDfnL5bE4dRr/l/toWobQEr4VR5ytIbX7+k0NOxwtSwGFM9TeW6H8MBwDqj6FEDrVr1Lq/7VBhR805nAZzJiXyPARDOSEmhLYfqmbnAYwy/HQH2wCnL+YcOIYxL6hgXkXt+qoFx50ZZyzOoLzSBq6D7z5/KI70vh2VMMYf+G7XBb4WIHsJxwgCWVhOYE2BTfY3wThvQbbf7RdMp8df2cnO2Bt/v8b5HJzCQ5W+7u6cxL1qxcyx9PbX+XyeqQY2zpe+RD/9CWwjIsmu6eJDipt08f7YsWMb/exnd1FkZDRNm5ZDEydmU9vMWXT4KNpm2qnD3EmkNykK5DplrFyxWi192m7NzU20fPkKOv/87/R4LjW1f6dOaLfPDg4OcRrq7vCkM4CyXYpD8Nprb6CJE7vOM0YXLYbQUO/FVv3KyD7rrLPoX//6F1199dVcmz137twuJwnk25966il655136Nlnn9Xyq4URCG68UEtVQSTilvNy6A+v7ORoN5QSoVSu1sfBu//IC9t4MYXUvrsvn+0UpIAKc0F5E6sVIv0RiwC1XQ087f4CrocTZ6XyDcjdBIp9TXGkLWLBMnvS4KeRBhqNrWbnYhV1X2oqqbdMz4pj4RhEabCQ99VowyIDdYXw8vfWTqg3Tp6bxkY2+qfHRgTzvuE6wLUDY0JLsKCGkQ0BLES2ByNVfMEgqnyPJKALgOgesgbgWBsOYMBBeAjG0khY9LrviTydr4my6ha+LnCNoV2bL/uDawr3n0de3M6G9g/+tM75HOYQpN6iHSWMaaRQI+3/2jOm0oebj9FHGwpYEMobIxuRW/Snhyjf17vKnGJwyG7CmPRnYKvgXnf5KZPYaQ2HiaoSr4qmqW2l4OxF+rlr+QAECGGgoSWTudPGCtrIBMkaG0W3nj/dGSkrq2lhEVH0vcV/yBDprm2B187VQCNisPAX1XgtQcYVFOaffHMPjz9O+2tXT2Edj+EGTmLoZiBNGQEPZFkga2AkzTW8rYbh1WfwBqRMIzr8q18pImHgN795kOA7Rc32mKSxVFio1D0jgNM9cABDGbXLvYFIMGqp1RRtbyktPV5SAvLzj/IxTktL56Brd2MbEWpPQAQf70ftePdtg02gisINB5qePcjN/+tf/0q33norXXHFFaxMl5am1HhVVVVRZWUlRUZG0iOPPEILFy7U8quFAAFiX1g4IXqAm/qPn/ya+5nCGEd6oxqtgBH62xe20XnLJ9D73xSwSIwKBDlgyCJ1FJPIUPXG9oa+bjSoX1KM7EYxsn0AaWqoycWCG0I/voKIx4pZqbz4RVolzk1fBJHU1P852d63Kpk1MYHVyJGeqbZkActnpmgulIU0bijxwohAholWPZuRgg7xP6QwDqaC9kije13jcDGSFr3uQGQ2Kj1oQFFkFURgf3LZbK75VtOqkXaLciY1qwpRINxbELGFeu8FJ06kTzcV8v0Kzl5P7jdI5UZqLwI16MKhAlFECC16q/CPMUTkGwb1G2uPUkFFE7dOu/zU7D7HF+efa6cQtN/CNnVffOO4+EOatOD+HvHbmxaxYyg5PpyDFf5WJjhYYppCV6DYjaATfnDdb9z4DX322SeUnJzM58XK086iP/7+fqosOUIZc2eTzWajJ5/8M7/vhz+8i84++3z6+c/vpj17drPydvfnEcGG+BhExk48cSV/D1K0IUD2+ONK3XNfVFSU0zvvvEnnnHM+NTY20LPPPs3K5ai5Hj8+i0pK/kUFBflcd52Xd4S++mqNRxHyoKAgOuOMc7imfMGCxVy/jbT5xx57hD/7Bz/4v2E7VTR30WRmZtLrr7/O0erPPvuMSktLuWVXVlYWR7jPP//8Ljn5gtAdRG/vvnwOPf3uPjaY4WlX1ZTR8uPa1VPp6Xf2sogKhNRAkEnPRtD2Q1WsVqoqluaOjxuUHoCDCerc0PYLRrbgHXDCIG0SnLssc8A1y+hzjFRnKOJiUeytaBMWrWr9oi+1wbhRQuQGtZr7C+q45jE9KYKdS1qDBTcWQxA7+u/HB+i+q+dpYoCpUeyZWQlDmhYtCL6ALKn7v7uA1u8qpQljo1lZ2hUoCrsanMg8glI8t4tac5Tuu7prBl930MMb9cnqd8GhCoVuqHEPpOe9qgHy0yvn+vz+oe7AIQSWw04YXr7//R/SL395H5133moWBYuIiGQhMLTCslnNdO4Zp1FdZRHd+9MfUEJCIqd/Q+jsF7/4Fb9/6dLldPXV19EPf3iL2+ehSn7DDTfTr3/9AP35z49Ta2sLt9O6++77nKnffZGdPZneffcteu65f1NdXQ3NmDGbbr/9R/zcCSecSIsWLaHrrruCkpNT2MBftWo1G/yecNttd1BTUyNdffUlrDZeWVnB4mc33/wQDSc6u6dJ76MYNKGvrT3eUsLfQDpEbGw41dW1DGtahNYgvQgRNSiEf72njG8iqK+FRw6qimgF8+3BSv4bKVNY+KDGED1zVb5//vQedc/+TlFFEz3wry0UGmygJ354Ai/qAnF8tQZTGZwuSHdGuuM9V83VpOczUqh//9J2/vc9V87h2mVPQR0jFM5R8/yH25e6XcT60/ULHYC7nvyGUw9/dPFMtz26vQGfc9ffvqGGZvOIvBa1wJ/GVxicsc0/Vks//uvXnHKNbA30CXbt/4vsEBjWuB5Ka1r4dRBnQ7007mVwBHM7IMGvkGt3dIxvRUUtVVaWUnx8CplMI1sHp7Ozk1tvRUdHswEMZfDCwnyO7qqGMDpBlZWVcpen2Niezv/+nu/o6ODnUWM9ZkyS06mI9G6kbKen98wgrK2toba2No5Mo+UXos+uomquwtgw3pGaDiMfItlKZBriagWUmTmBHQh1dXXcJxtRb1cQIUdbsLi4OIqOjnGmiyMNHtsL50H/x9BMNTVlvZ4PcXHhnH4/rEb2kSNH6MMPP+Q6bAwy0hVWrFhBS5YsIf0I85aOBCM7OsJIdeWVXi3idEGh/DOSUdNiXEFd2d68WhoTG8o1Z67P2+02sne0EFmOK6xqik5HutAo0ul9XzAh+vn9P3zFC7GHbljIabuySO8f1C2jrQwM619cO+94yxlzK9k7lTIDZ+80x1h1GbeQyF7H7V8f7Kd1u8pYqRziPJ4KREGYCX3gURt59elTujxnR3/N9mYy6u0UHR1GDQ2tZDWGkc7o/U2ez+v2ZiKrohrq2XmK/e2ZzIRWWGixB+XRB7473+O2Z+5AVByOD9SXPnrrkh6ZBdhmu7Xz+Nhgu4JxDAZHtIePeVtj1/OgF3RBIaQLChvyhTrOVZ6jeCO6OYm6/K1zfx7j8aAw0mlwn+Xlgev109v26PSkC44Y8HfiPCbsv6VDuT9pdB7wfnS0OM81vtY1qLV0HdtPNxexFoS9W4si1F3/+bVd3OnCtcb7p1cMvIPGaMVus5C9rUk5/yAQFRxOOp3eb4xsu7mN7J2OHsZ9zTX9OYFZoU2vnK9DUNaB64PvI/hqg4mIj+vQlZM47we9HTOeXzDmetIFhfc732AM7B2tbudJYAwOprikRKqsrBtUI9tus+F/no31MJXv8ByJbRyISciigvqBzf8224A/Z6A12Voa2Zqni8NT8atf/Ypee+01/hvF6PA6wDPy3//+l3JycuiPf/wjpaena/3VoxZcwI1bP6KOhkZniwpPMSRkkiF9piYLsuHA3YSE/qjueqRi4dp5ZKOyyB7MbTIFkzFrEekjfBOmQrQzMymSDhU3sPiZVrWxgUxFXSunagKIBsHAxk3DWryHrBXHMxv6QmcKIePERaQP71lTefHJE1lhFyUKb63Po4tOnNjv50GRGOULoLtomq25lixHN/EiwKrXUWNoEHW0mclGOjKmzyJDQv99el0XJp1HNjgXRx5jDCZT1gLSR3Yt37lk5SQqrGhmYaa/vLmbNRJU1W5XUPeOYB1a07k6uLYerGKnAsbgy21K6j7aCrka2DB2LXlbyFZf1nO7dDrSx6eTcexUTZ2AtpY6suD6Vxe/HmBIdMyPg7CAd4el/DBZS/b1vyDrBzgHjBMXkj7M86yL7tgaK8lSsI0NBo8wGJX7SWqO1/cTLK6s5YfJVnnUxaDXkzEthwxJ/V9rfX62pYMsRzaRrdmlLaLRRKYJC0gfpV2tKPq1Q1wLfcih4wABMTh6X/nyCM8F0BaZP3UMGXQ6WjgtSQxsH8E4dh7ZRGRxnCc4VUKjyDRpsSZOsYHA95ySfWStODwwY6Ubuog4Mk1cpLnzkQ0r3IMqj5KtruS4Qap+b3gsmSYu5jXNYNLn/aDPOW4R6cOOi+e6Yik9QNayA32OA+69zSnjyJ7Qd9thX7FbLezk91yhXEd2OI3gaFed7XivD0rjXm0n6rjh2FUd3j4DB2+oT+eLHQ4RM+7NcLbriRCsGuF6IYNiZN9zzz301Vdf0Z133kmrV6+mcePGceS6oaGBvv76axZGu/baa+mtt95iYTRBA6ydZOOTkzgK5Ixw9AkuqlayVhfwotaYMSughwKLuM68LYqBDW9hENJmtL+A7VYzLxJhQJlyVvoUlQSoBYSRnV/aSCfN0XwzA44XPj3EC1mIhKFNCLDVFDoNbB5vNpQw5t1uunZ13NrZCDPlnqJ48V1ALTH6GyMq++HGIvpqRyl7SEODjNRmttDkcTHcosa1bcr7Gwq4RRNUd1Er6fw6i9lpYCtRmBAyhASTzqIj6mgnS+EOXjS6M/bdOdg68VkwsOH9NXl2XmN/sUjtPLqZgnCeutwUkbp687k5XLKAPvb3P7uZzl8+gaZnxVNSbBhnWny6pZjeWpentDpbnMEK2d/sKeP2dFjTrN1ewkYEonfILIDR7Yq1ZK+yoELk1RR6fJNxsze3ka26kMy1xWxgGZKzBxx17HLMDSYPrkvH/FhVwBFaQ/LA+qR7gq2hnJ1CgJ0L6gKDT1f1nHX8dp7Cjr6/rn8jymduJcuRDWSacqJPjgpbWyM7JJUFnnpedd0E122yW618H+LrzWohQ8YsrxZIVl4QH1T+wHWK9p6WTrIc283HXx/je62y5dgexcDmcy2EF/RkMTvO/ZM1NczQKqu0upWFzT799lgXcSr0MZbINQ3YYeI0sHEdGwxK5gfO17wtZJp8wrAuzG21x8hafqjnNaw84vjtxuhzawc6rm3sH5yyBdvYee/L/rER1VJHtqYqsjdWkq0NLdtwP7TzteAKX+s6nfK9cEzmbyHjpCWD6mi0FrvcD7rMV7puN2ol2or5nOc4Xmed3CMjy1pXStbS/V3Hocu85fjDaqbO+gqytNvJHqJtKZMdImSckeT4rn6Pn2P/eP62OMbF7jSySYNMoV6/GY4A1cD2eZyV7WenLNY1Xtyz7TyeDmeuQ9E9EAxszY1sGNHr16+nl19+mbKzs7s8h/qAM844g0466SQ2sv/2t79xmy9BW0y5p3l8cmJSw0LKWpVP+vhxpI/wn1ZXWsNe2pY6jmAETT2J08sGy3PZuX8N2dubODKDSIwvqK3NduXVsFEj9E59cwftyVN6uEKYDOc/FtWWol38mCF1GhlT+hYsQ4qaMm7NbCggitqdeZMTOQX0ja/y2HgGDaQsUNCTe3deDffThrI9lF7R0gfA+Hatz8R5AWMPKYCmqSvIFBxM0bHhZK1tpvbDm8lWW8xGqD57Wb/DbqspUhxHxmAKmnaSxwYVDI3OA2vJ3tpA1vKDZBw3o8vziTGhrLL8/CcH6WhpI6fh6z4/zAb17rxa1kpQwfFwBa2OoCiupsdCCd1VlAcGnLVS6eGL6Iw+uqsBxWNXvIcXljC8EFE1TV7mNrXdUxCpwU1cFxJBpqkn9nCiuH1PVQFZCreTpewA6RPSBy2FXV0EY5+BYUwWGdNn+P5ZMCAPfsXptJb8b8mYvdSrBTJH44p28uIOkV5ExPs79ngP5lh8Hxy3uvAYMiR2rZXr9b245soV5XzjuOmkT5zAi0lcvxg3y7GdZIpK8Gn8kTGCawTAAEN2ETumDq1TDJfSA2TK1NaLeeGKCZwOvnZHCes5LJuRwg66gYowCsrcCQObI9dTV/A5AUPGvO9LHk+cg4a4/tWIBwPMqZi3gWHsVDKO7Voe5Cu21gbqPLCGbPXlZG+qIp2X2RccJT6ykedRt8CwDYshQ9Ik0kclOh2Q7Gg7sJZsjVXKPTG565peK/j6r8rr9X7Qq7Nl3xoee1tlfhcnKM9fpfv433jcmJbb6+foOxpIl79BOTamaCWaSkhXNhDpfTf0uHzL7DCw4QzyoHzHma4N4xzOYJtL6RfKnMytfP8ajDWr6mgZSBkNO3JgrKsGc0iER8dPeV/bcQePKSRgDGzNjey3336brrvuuh4GtisoPL///vvpe9/7nhjZmnHcDerNyamPSeHFo626iL2v+omLe58E60r4AsCiq7eFPBYv/pp2jokY4EYyWAY2wARlSJvG6YnW6nwyjJ3s0+JwRlYci2XVNnbQ7qO1dFK8pIz3hpqSDbEzRFrZYIGBDSMhJoUjof2Pm4kXRpyyVl1A9hQY613PZVxbqLVE/0+kQU9Mi6HE6BBWNN9+pJoNT9Rkbt5Xwe1/oAQ+NzuRjXMV3ExgOAA4YFyNPXw+HjPXl/LCxtZa32e6Ly8mKpVIvTEl26uIJWrPsfjoPPQ1G5PY9+6GJ8oU7r5iDrdEg0I42nC9943iOEC99iUnT+TI3Fvr8rml0ezsRFo4dQzNyU7kv9GnHucvDPPuUUssJnj+cbOggrMPBhGcgIjqwzlmLd7ns+HJi1/1+h87zSMDm7cjIYN0VXnsiMD5ZByvjdq6221srFRqTI04Dwe2OMci2ZS1iMz7viBbUzUbzIZ0zyPL9sYKfh8WmsbM2R7NX/hsGDd8fhfvOR6Bjuo/OsTXA86H6KQuqeGYR231pZxRgPPANH6eR9vv3A/MA8d2OcdSLd/BPYrP/QNfka3mmHKta3hPwLGAwB9+UL7l6mATBmYMYK5yzp2O8xJjh/MGkUsY4frY1GFZpLMj39zO87An9xxPQTq0IWE8Xye8f14a2baqfMWI1Ot5vuU1XHicI7prJ11IuNtrXB8axc5XRNARaQaDYWjzPcxu5+vfEwMbwOGJeZK3rTKP9ElZzvu1va1BmUv1BjL041xHtlho5nRqOriTM3BgvNvtjtRuOBtgHPtyLqHkBUazUy+g/8/g1+gMROjnjgwNi1nRiIEjifVWOvka0EJLwhXsM2MMGtBn8/abQpWaejgI4CgI8mBNgtfBuYB9DTADG2g6Wnl5edwfuz+mTZtGFouFU8gR4RYGiJor6MPJaUyeTOaaY+wlxUTcfQLnNGukWap1zFhMJU3i6KB6MSi1r7uVyS4y0ZFa5D8XCns7HemChvjB1wLQR6dw2j4WhziunnjWOa0InlNH2q7JqPSWRG9w9Fk+aYHnNbqjja0OIxvGnWok2FvrjxsJHp6L+pixfPyxUELqriGma4qzCtSDu/d7hvH95fYSrr9Emj+IDDPRlad17VNrrS5k4x81djo3Cwp4vGF82mpL2PmlT+/DyG6tdy4mUMPsLbrIRPZcI+vCVlfqtg4c0bfVizJo1YJ0en9jIW09UMmRatS9RztS41FfihnIVckdNdwnz+l53mORgGML+jIm2WiLHcuLjM7D3/ACk41yD4y27tgaKpToV1AI6WNTPH4fOz3SZ1LnwfWcXWDR6TltWR+VxGOI/cDiB9EFXpxxTbyd9OFxPB7eiB/CiQkMsWk+l5h02faQCDKOn8tOI055D4/zqM6fDVM4QTiiPsHrVGoYO4i24ZhDJ0Afl8bbws5NN9chO0Bqi50R/C77oDfyPnQe+oaNYRsM5UjPx5/ru5G9ZDCRMXVaD0cOFvXYTkvZQc2j2c7vEQNbMzid2NrJ55MO16ALhjHjOVDAc2JLLemGISsP5yjQJ47XPNhgSMrijEOs0aAt4UkpkXNtVuFw6o6b4XF2iQrmMX1TNWeDwNBGaY8hXinH0gLsi+o4wRzh1bZhXYWMJwgzNlaRLlo5JzBX8/PRyR45VIPTJpOxxULU2kE6Q5BSqgJDEdFdh+HndRTbYbgiMOXLWhjb7brtdqNJ2R78aGhkc/TcIQKsRaYWn/dBWPu2HC/NMvS+vVyS4NBIwff7k92gFZrOBJBYDw72bKAg3w5DW9ASHy7mENS7KcZE5+ENZK1VFnsqvJB0GNg6CExg0i4/RLa64uOvqStRJnKkDOIm4Jjk/AV1AQuBp6FQU8dEoY9z1AV7cCzgnTbv/oTMez91biuY4jCw0B9ZcA+iyAcK651GNiJpSPEFWFB4c+PADUI1VlET7O1ieuXcNPrBhTM4AwEq5HddOttpiDpTalWDAtvWyw3FoJ47DWXKTbAXVJEYGH6+GGZ8njoWTIgY9rd/Zy/JpAeuW0DXnzWty37x53haogKDF04GePdD+3ewcnTTsTC0FG47rkTuBeq+4Zr0tq4QxhgMbf6cmiKyHN1M5h3vk3nXh0oUpfyQM9KDcwaOEURdO5G+qiqE9wMygJxjGZdKWmGITeUMBQABIFa47Qc+59gwNXq96HU6JrIWsHI9OyKqC5VjU3us97FBxAYRIzcOFBjVhkTFOYDoOKvPepoi66jx5qinm4WyGuViA763VFo/gNMpByiEFwio5xA7brrNNxzZdMybEB4b6uMFo4qzPxzXndZgvlTnBrW0wqPtaq5WUngNJt8csbieM+c407H52GpUvsYOvcIdShQ7Ls1rByqcmAb1mDjWTRh3p5Ed71nZgNOhawrm9aEeThzHOhEOd9Zw8DGKjeOuBer9nbVjtGwIxd1IHEJjA+iI44qraJsdxnYv1yI7pnFuqmniGjiXA97ITk1NpZ07d/b7utLSUmpubqb4+MCtAR4WfHQCcR0cPL9QeC3e5bwo2CioVGplMMkGTTvZuTBBraRy87c7BSZUlOf8Z1GAqCDQxw5drZY+VnFcYPHGNS+9wOIdjvohFvo5upmj3wBiUhhS1LeW1/hvC7nh5IMNhdxPfVJaNI0Js3HtGqfshUSSIdV7xVCnkd1Qyela3pIzPo4ev20p/eqGhZQ2pmv9FKextTsizzEpfUaYkdqHTAh7R3PfBiu2uVtUxxtgxPJnNVVrtnjyyODFosZDw9wAIyk4XEkbPrbbq+/jOcphQKn76i1QGEeqON7PwpKONidwOvLiMDKBHR3I7kF0HhFzjDPqolHX2O82NlUphiaiHhpH4BABY7EvZNVA5LIfbI6oF6LKvioKIwJtyl6uZDs5agixmHZnyMIpAbjmvRcHCDsKjCZO21ejhf3uB+ZQNt5DOVXcHRzNxiKds7U2kw3Xpp8Bp2Hnnk/IvP09r4yrQIPFEB3nj2pMd0efPJHnVi6RcGRjDBV8vtltPCcMRt0sUJ1emEMRAfZou1SD05EV5AtshGJewzxibnVqHAwUOPOcGWfdNEE8BaUBgMtKbDayN9co9b1G04Dui9A4UQxkRXW7L8OWs7Pamri8y4YWZGpkVsvUZ6TzY/w48uz9uqRX1JaGiDhrGEVWxOb0ikgd2tm5HD++J3NrNbUOOzgg08QHxcheuXIlPf3009TU1PvNCgf4kUceodNPP13Lrx7dOE9gnc8XBMRxeCGDVNn6Mp5YLIfWc22oMzXHkQ7Ir8OkgtfBU4o0SYOJgmacrjyH9FMvWjEMJqxayEqaSsRvqECUjuv8OK1UMYbcgTRd9AVEqww1qqga3egtPDVTSQv7anvXDAOB6GBRHX2xXVlEnLs0gzrzv3Ua2J6INbkDdWhKxoat3+hubyDF2t0Nw7ngQeS5Dw830qv0EUpbLXsv5w7fuLBAQRTZwzq2Xs9T3ORQj9bi0uJoEEBEQE0VV7NnPAHHCmn/2FeOjFble/6dcGwgsgC10nDfDVikSJomLWFhScxzQTPPYKejacJ8Mk1ezm1uIK4HwTxW9A6N4nMRhrb58EbqqCjo1fFoa6w4fl5orOCLa8DpGC0/2LfDD9E4R5srOBYG3MYwZTKZpq1UHEoQ2svbrCyuHPcrFiWD4dRPGQ+ilChr8ioiX6NkonDafh/H1Jg5T2lhZ+1kHQ30X/YnLMW7lbZKiMyj1r1op99tY2/A6LAiSwDz1EA/C3MnHFsos+nFiNVj3s+cy//mbDvH2sWjz4dhjhZyrm3ePATjoc5JqtE3GKA2m9cIjtaU/W6XufV4GUovjgmv5hFHNBtChLjXQgzNWc/rA9zmzHHMfHboRcQrnUMgFoYsyhpHplhMqs9OBf5cVjkPUwxFiI7B0MZaEo5v3Hu5frtT+TfWv7gmMa+pmVZYe2gUxXZujxodxhyqgUOcjV11ezXcVoA5V+l0RA4htFbl+3DM2pscQmd2JXptCg1YAxtoekc/99xzKSwsjK688kr69ttve3h/jh07RnfccQerkN98881effaePXvoxz/+MV111VVspKOe2xNaW1vphhtuoDVr1lCgYncKn/l+onLqTYKysOKUyL2fKelPBiMvcFUBJlzohsQJyusKt5Elfyv/G2k7LPjhqKuzlh3SNq3FR+DZVMQ9ItymDA4WnEKrRrP7MNbUFDPcaNibiwgmIjatyvk9b7JS+7v1QO+G+mgEdeqP/W8H39cW5STRlDiLs/7SlL2UF1y+ojqUtC578MbAVLURektjVR+HKuxAepjyzdtR5+rNotQXUDcHYx7zBJxK3sBpww5jEYaGp048p5MQpSIa1Ekqi6+++4DieRjeMAiw+EM7mZaDm6hj1ycsNAdjU73ueRubFWV8Xbd+5VrBAm7QiDC3k7WPTABbXZkjQh+jWVsrFhmbsIA/E8fCvPND/sEC3ZK36fgiux/hMf2Y8YpeAiLyLqVK/UY9+0mRdW6fI/tgqCOgfYHFOzthXcoIoHsCVWX1/uCvwOhEyQTU5vEb2+0rnC3niJ72N55Yh/A6xm5XnDqsk9DPttYUUefBdezEgBgerlHoElhK9lFn4U7qKM9zu5bh3u7VhdS55/PjJRaDrGzO2gJ6Pc8ffTnvYfhzCz5LpxJdjxx4hgxqzTnjEeUtNcc4q6hz/1qfnCgc9cW5DQfbANojwpjTxyjXBrpAWOsdWYsajAPmBqehCNExNrSVGmI2FDvUqLUqcKakmfMPxOS0NhwRXVejw+2NbLAOCM7IgrGutMzSGo6OB4cfN7RbG5TMPKTfcxvdMOUngA1szY1s1Fk/9dRTZLPZWABt4cKFdOGFF9Jll11Gp556Kp1yyilsfP/lL3+hjAzPhZz27t3LxnVmZiZdf/31bHBfc801HtV0P/zww7Ru3TqqrVUWMgGJRrYs0vKcKZU2Gy9MOUXcYXw7X5eUpVyUDk8eqzg6VCchloO/EWVT04p4UnJEUIYiJdUV1TPN0Yoh5ngqU5nbWlIWZFNTWWEEGIOcKU6qgYf0Y3CgsI7aOkZGBGOw6TBb6V8fHCCL1U7TJ8TTtadP6VIPN9C6e66pQ9QUCt8a1WryDRoiZXC+eKAOq+uSxm3p/bz2UmnWF4NeK2yN5S4RW+9vrIaUKS4L6C1O47S/tlJaHSevFb6zl7PDx5g6lfTGIMVAZM2KEhZzQyo5R0QcBtNgtVBkJXkIe+l03F7LVffBFXW+1mKB2vX79cr3q5ElS4dSX42sEygYZ8zy4DOMpHcojysO3N7vIyykhjpPRLk8SN3lqHu6sg0w/v0lbZwjfdiPmBQyTVhApkmLeW5zliJ4EXXlKNwQlXBxFpyz37tipEDlHUZrb8eWHSMQX4VwmaOlDwSxlHkTatGNSpmNB5FiQ/p0h4PLrGQ39ZXqyxozSkSVzxWe9ysVpfKyg2SpOEoth7ZQZ8G2LvMwXsNOBDyO1kpBITxGg9m5hLcxKOy4RgW+G1k6bkBEF/MKAgumrIWaZMjwPJK9jLPEuBTEIXDFKv0oefGh2wsczsgeGwh6R9YNOzrgVAgO08Sp4DQUcV4g0gtDWk0jx/0L8xkUuZHqDAPbaFL+zanP2nfZYQcvtsWRNs7XBmrGce1wYKbe8QNjtrXPrCVGfd5gGDRDV4fjg2uCjweuQx29+/HH9LOHfqnUwPv4vR9//AHdcst1dNNN36WKinL661//RNdffxXdf/895G9o7r4YO3Ysvf7669zO6/PPP6f8/Hzq7Oyk5ORk+s53vkMXXXQRxcUphoOnwCiHkX7bbbfx3/Pnz6cTTzyRPvroIzrrrLN6fR++/4svviCTSdtUCP9DVRfXYBKduIjsMFhwQUckuL0IMNGYJi1V+qHCMISgkOPmwgIkyZM4IoCbgAWtH5BSxJOSUVEHRU/G5GwlwmvtVFRsscDUGTRX5VSNL+zLUMMRISgPcx/IAkX5tLmWbwBQEbY1VyttpmBgOzIFkA4GoxxGtj11GvcrRsuoitpW2ldQSzOzhn4//I1Pvj3GgmcJ0SF06/m5FGQykNmx4NTi5sotYRLRMiWPF4YmqHAP8CbkdKaEx3kkUsb9Kp0K9WU90v1wHqmfN1BUBxR7mm2WAfWj9uhajBzje21g+kylLhCL3EPrlQwb1XgzhXCKMqdJVhcq0QYYsFwD73l6ulZwJAR9puOSKXrqTLIUFZGlo0Pp2Q1V3ZK9SuYPajmxMNQoetxrJkDSJEWorXCHIqTk0h6Oo6ZqB4ZBiMYh1TUoZyV/B0fhao/xApYNAA9TFfmaLD+ilCNV5fdQI3c6Vhyihajz9nj7oFwfk6wYehVHSe+B4T+YwDHtjN46In0oCzFNPYksjkwI/DZNO7lPcUc2Ikv28bir8xpnNmgsMgQnMivtB4WyYYsFPIsGTl5O1mPod57HRiu3CoW2AWvA2JUaWjgAXGuMsT9qGrKjzZQ3Ao+sCTBhAZn3fKrU/TZWOp2W3eH7rMOAN01Zwfdo7gCBdYjVSgaU/rRVkbWqkOx15cpaJySSLEU7OBDBLfeSs5U1zCDNm92BgctaL21NfA5wN5duqdFWR7kEyvs0bU+n1ytdN2KI7AmZnKnAc/HB9YqYJdq8JmUpnTp6uWciowtrR2dQZoDASEeWE84vZEjBoaelkdtd6Xs44648zugIovaj7lTqmruCtOwOvobsascalEt1PyYOQbfBPm91uGZx/BwR7LrGZiou9kxbwx319fX0m988SNdeewMtXryUdu3aQa+++hI9/PBjlJIy9Pf5/hiUo4uINoxp/AwUq9VKGzdupAceeMD5WHh4OM2dO5fWr1/fq5FdU1NDP//5z+k3v/kN3XnnnRTYDDxdvEsthQdRH/QcVfuOdofTOjs7lJuVerN0qVfBjQw3BxU17YlrwyEwpFHUuUuUSCPPptdGQeJ4jtq41lDZayAecnyS0SdOcN6QOJMAKeOYRKFOHBJB0yfEsZG9O0+M7KZWM324UVlAXLBiAgWbDMo4t9RrGg3kmzYMNSzSmqudKdW+4jzHPRTf4nKDmBRW7Ud6NDIcnDVZ3C5KiQjpIrxLu3YLUrYgaoOME0Q/BiGiyp+NSP4Ar0WOimYtVAyNhooe0TyzG1Ee9EQeiq4C/fZhj0kmu8XG7XfMez9XDDqHyOFQtBxCphIiTjinEYVTRJoi+dg4y1bQQ3eQjhUbefiJTye7Q+jIm76sXJuP3rhFO9l5i/tU97IQOIid4oJe1sfCIMF4wLjlSN0wqt1yejW0Ovg+G9816j5xMXXuX8P7iTpy7nGPqL0bB7WtKo8N2y4R5vKD3HO8Ly0Hbq3T0cyt37obSzCK2WnIi3xc1w3K+eMaOcNYjZ+r3APHzWDjR1Vx53Pecd4f3zFE6SKVdFLXOl81Cg3jLsXz/vFcupaQqfSWri7oIXrIgqPFe5yiqGyMIuqGc8pl/WM06imCmqh9x3qytbd2EZ+D0Y8a8KE+T7i13YQFjghyNQcz2LB0GNocyYQTFqnUGrbb6rEdfC4u4jaBqo6P2i5Vads3UTnHHE4Tdo6h9r3iiNPA1mqthzR61gvSWMDLH+H9g0MW/bNdRNacKd+oIYc4Gq5Hm4XsnAGpIzsMbaSyO84TZ2aGRqri/W6zQRtzs7a2hu3ClStPo/T0DNq+fRslJiaxwe2PDIqRvW/fPk7tRn02MJvN9MILL9C2bdtYgfzaa6/lyLYnVFdXc1013tc9Yr5/f1dVa1d+9rOfcfQbEe/Rgr/MLTDUkQJoSMnm9BV9WCxvHLzdeA7RQSjqcl2mweQ0OFlJ9fA3XM/oaR/IvmDBM0SJgkIGNUrUF/qETNIhctXRyjclLBRQT2N1pEvxa1xaV3BaZHicEu1priZDSATlToinz74tpj15gytMNRL4amcptZutlD4mghZMVRZO6IuqjHOYZl573LQMCek8TkhP9aY/b3c4/dERqfFmUcFGUUOFEmWsLXZ6/e3NymexgaRFb0vOWokje10pL5YGI225Sw35ALcZhhkMDXaAoFwFabAQVaspckRj9SzchfkFx0iLuURLeAE6dgpHGFUGcn55/L16PUeO4fTjRTEW4661vdDbcLT8GvRt8XHBxXWhyPRprCTLwfXcLkw9X7GwhFAYwLXraYTcuU3I3AqL5mOCTCxjek/FY6T4s8MMDmNEhkxG6jDHkt0Ih7M2N2DOxHDp6uH2/J8wjzoPrFUyAw6tVyKqCZlkGDvNaWzj3mspUdZI7DQwBbPTDpHbziOb+B6tCMPpuqnxV5ClYDsv4HFvYqc5etiaQrj8grPT3LXSw2Id7fmCQsiYMft4dptD2A4/UMWGI8TWWqeUpMGgRTYcC1iFKkZaS62yZggO55R51O7CueJtWjHSiGFkc2ZYWyO/H5/Phjd6M3NkTXGEq3oP7jDFJlPwjFVkrillpwUfl+hkxbkxBAaKO7AvEF1E3TXuDZ1tDex8tFUVOI1YzhgYZB0azn7MWqhkP0IstKWWHRG4Z3F7rr5aM6blarstAdoCyh18zSLdups2yBtvvEr5+XncShkR3lNPXkkXnnsuHSsqpOdffonyCgoocUwynXraKjpp0QLlTXoj7d27h1588T9sb02dOo1ycqbThx++R48//hd+SRHe//y/6ejRI5SYmEinnrqaVq48lZ97++036MiRwzRlylRO425ra6V58xZypDm4j5bOn3zyIX3wwbtsH65efRadffZ5/Phrr71MO3Zso1/96nfO1+Kx3bt30llnnUuPPfYIP/aTn9xJMTExVFZWQo2NjXTVVRfTjTfeSsuXn0gbNqynN998nerqaigjI5MuvfQqmjhRmUsffPA+mjx5Cu3Zs4vLiG+99QeUm+ubuv2QG9mYoO+55x5688036ZNPPnHWXd91112c2h0bG0ubN2+md955h/73v//RuHH9e9laWpTWRaGhXb3rISEhbHy746WXXuI09T/84Q+kFfBo+is6m55sapTHn7bTGEEU1rMmzpS9sMvftnE5RLZO6izep0R3iraRKWflgFPHLR2N3N/XEBE7fMfFGETGnBM5OoIWYvoQZeFhtppZEAmLB1NI1xuhPTqRLC01pGurI6NxAuVMiCeDXkeVdW1U09jO6eOjEZvNTmu2K0JAqxamc5o46GyuVMY5OkHTcdaPnUwdiIw2V5He3NglvdYbuHe3tYN0Bj2ZImP5tytISXT97QQL25SJLL5DdUVkHKvUpJqbKxz7G6/Z/urGZJIZPZJrCsmQNkXzBYvNMUbGuBTtxiimm8MiZYLDs68bkBic1rgbXxxja3AwdRbtIX1UAgUlZQxKHV8PjOFkmryII5Uc1e5oU7Jm0A+XU0v9f24xTppPHQfXk721kayH1pHd0TXC1lhNOpuF9MEhFJw2lXQ+nGf69BwyH9pA9uo8spqbyZiUxc5hrvN21D66YtHrqKXaRJ2GMDY29AN08sEYNB/6mvR2pFvHUlB8qvvIXFQcGaYsIwsMGhiuiDxXHiFrcyUFZcxS0sQPbVA+JyqegnBNw9E9JpM687cqqt9F20nXWsNRULsZUe59ZGXxOxu7C3R6HVFzNVkPV3c9RnguPEoxetF/GRkRoVGKAxERNNSm9nYuR8crP71hjCQKP56dYEqbQoQfX4iMIYpP5fus7cg3RFEJZEXkGnXubOglkiljRp/zunrNGk1G0iWmEeHHX4hPIYNuPnUW7uIMAOu+z/lhzLNw5AVlziT9UK174hyZAvEpZE+drDin64rJ5nAIc6aCo0SF2x3Gj/OLiHOv914HfB3ZveyTrREGlE96eYzq6mrpnXfeoHPOuYC+//072Mitbmqjm+64nc5ctZruuPX7VF5ZSU888QcqKTyXrrrscjp0+BDdfvtNdNFFl9Ill1xB69atpV//+gFKSFAcv5WVFXTjjdfQmWeeS3feeRe3YH7iiceptLSErrrqWv7ODz54h44dK6Tvfvd7VFVVRY8++jC/96abvu92O2G0v/76K2wUV1VV0h//+Ch/ztVXX8eGb3FxV3FL9bFp03Lp1lvvoHvv/THdccf/sU352Wef0BdffEoPPvgbjmh/8cVn9Lvf/Ypuvvl2ys6eTNu2baGbb/4uPfHEUzR1ag6VlBTTl19+RnfffR/blRkZ43sfA4NuwOsVTY3sjz/+mH/uv/9+SklR+sBC6AwG9kknnURPPPEEn7T33nsvPfroo/SnP/2p/w00KpuI9ABX8Lc7L0lBQQE99thj9Oyzz/YwzH0Fk1Zs7OAKWgwEa4uFcOsPCQmiGD/ezt5RttmWlEiNWz4gW2cHBVfvo7BJ83p4im0dbdReeoiMUYkUFD/W2RrI2lzHCxx98PExb6lsp47QIApNSqbQYT0u4URJXQ0C+9wTyNraTIaImB4TqdmaQs11eWSkdopybPeUzDjam1dD+4oaaErW4Ee9/JHNe8vZyRAZZqJVS5VUcZwrjS1lZAwNosgJk8mk6TiHU3P9eDJXHaOQjioK65ZN4ynmmnqi0CAyhEVTdEJ0r6+Liuo5X9kiJlND1UGy21op3FZPlvpKsjeVkCk0iCIyJlKQRvtrj8mixtojZG1toNC2MgpNn6bJ5/Jn223UYK4nW2gQRaVnkjF6MK9F/53/eoxv3HSyT5qmKK0O+YIznGjMwOv5h4dwssedQa1Ht5MZrdE6HAJ4wXoyhMZTxLSlZAjv/Trrk9iJ1G60UFvBLrJ31hMVO7pnqM+HBpExPIaM0QmKiKfNRp11ZWTqbKWgmkMUkbPM46+yIe26He25LGRpqCZLcx1Z6soo2GAlQ3wCReae4HTKut/WcKKMTF5TmSsLqe3oNrJZ2okKNrKRHBKsJ1NMGoVPW8rCeyr2uBOovWgf/9hbyon2fsCvR9zfFKLUbgaPnUhBSeOpvWgvddaW8X6iiwnuryGpkyk4ddLQOIUGiG3mEmra9SVZUarSWkmmEBMZwqIobMJMMsameHzduZub/YLYyWRLG0fN+74mS1Mtj3PYxDlkShw3vOOTAE2DWXyOc8cCpCoPU9TfEyIiQkiPkgQXowrX1dclW6iufeAt6HwhLjSWloyd79W9AbYKuPPO/+OyXfCb3zxEM2bMoh/+393cz3uGzUbBJhM9+PCv6bJLLqf//vefNH/+Arr99jv49XPmzKHCwnzKyzvKx+Lf/36G34/PBLNmzaLQ0GC6//6f0WWXXc7HzWKx0q9//QhFRyvz7qFD+2jTpg30/e/f7mYbEQw00u9+9xjFxyvr4vb2NnryySfoiiuuUpxEuq6BTfWx6OgoyshQtDYyMzNo3Lh02rlzGwUFmSg7WxFf/utf/8jG+3e+o5Qrz5gxg8rKSumZZ/5Gf/rTk/w5s2bNobPPPqfX42iz6Xg7o6PDOKDrV0Y2WnRdfvnlzsc++OAD/v2jH/3IKUD205/+lFO5IYjWnyhZfHw8n2Qodnelrq7OrYDav/71L1Y3/9WvfuV8rL29nZ588kluHQYD3JcIWmOj+6i5P6BzNHVv7+ikujol8j9SsSblkvnIRmovOESNZcWc9qn0BIYSr1lpyeGo0zIkZJAxMYM6j+1RlIZx8Y6dwuJHOGc6KivI1mYmmy2E2v3yuAQR1fc8r2ydQdTRZibqqCJLTRN70U+am8ZG9off5NOJM31TZx7pvLf+KP9eOj2FWpvbqbm1gToLd5CtqYV0YUgljCSdxuNsDUogc9tR6ig8Qu1R431Kc+0sPkaWNjMZIsLJ5mb74EXHIq6xsY2s1p4KwOawJK4Pb//2C+djOM9b9NHUouH+WiLTqLOmiszHCqg90vPuD/1ha6qhjqZmVl9ttIZoPkb+Tn/jK/jImByyRY5TUn/RxzduLFlDo6nRrCMyD+AcixhHtglRPLcgQozzFunB0CBBqYMlLJqsjvkXYxs5bgpVfvMutZcUUkdcdt+GsQNEVM15W5X+ut3Qh8dQUPpCasBtvc3D/QhKJNv4pdRZsIPsrXXc3ofLJFJmUUMTUru7pXdHjSdrarCyDUj91us5Zds0LpcoNIo69AbqwFtSZvEPK5NDVE6npzadjtrq3Qku+Sf28UuVlHGUbMHwTMygZp37e+9IvXbtGYt4nqWwaGqBQ8Xvxsc/O6Oo49vc3M52g9VqJ4vFdlxEkf1ow9OKVt0Wb9Z62NYxY5JIrzc69wOp4DU1VXT5FRcrL7LbOEXb3NlJBaVltHPnDrrySnRrOn5+z507n41sPKa+/7LLvuN8HrYbPgMZwzhuCQkJFB4e6fyMiIgo6uho7/KZx7fRRuPHZ1F0dJzzeRjxra0tlJ9fwPuAJb7re10fU69D9fjgt/oc0t2hNv7SS8/Tm2++xq/D8WtoqHe+Br/T0sa53TbXY4/tbGhopba2npkMOGd6y34YVCMbB/y6667r8hgM27S0NKeXAWBAIiMjWZysv9psiJyNHz+eDhw4QCeccILzcdRjr1q1qsfr0RP7/PPP7/IY2n1BIO3000/3ed/6GpDhRm9V0rvstuMTxIglMokM4xeSpWg72dpayFq0t9eX2ioLqLOywOUBK5mL9pKltZl7TltaUJNtJ1twFAsOjRTshhCyQfHR0kmdzQ2ki4ql5bNS6Zm391A5VMbza2lyun/VmQ429c0dtPOwUpO+bHoKdba1kXnfWj5GrAybNpMnRs362TmwRySS3RjMEaeO/J1kyJjltYOjs6GKr019WHw/E7vN7fO6lKlch82iZKGRipBXdLLm17o9PIFvZnBY6c1mzVRHLbVl/Ln6iEQI9uJCpdFIb+MrDABTBOnGKrWdfGS1mgOCIskwaXmXh5yf3O07DFHoQzyGrHXl1FG0m5WtewNZV1BW53pVrPbQFohrK0NJB4Xz0Ejls2AMenuuGMPIMHGJ0rIKxrveSFasDHr7nMhkMk5fxSKlBEEknVJ2xv9z22qTVxmaz7GDj54oOtVZMc9TkJfHdkRcu2HxPu2boIxvd3CfX5wyb0Sli4PukVcYryeeuJIuuECJ7Lq2tBs7No0slk4KCuqaFRwSEtrr+11JSVGy+9xlFffVOi+0W5ZxcLCyzb21Ze7rs1xpbW3m3zfccDNNmuRoK2zQ8/i6Zna47l9fuDpdfEVTI7t7ZLqyspLTty++2OFBcaGjo8OZztAf6LX93HPPsaEMwTO0B4NB392YBqjz7l7rjbB/eno6TZniY23PKFIX9wdQs2OKOo1s1QXcq5jb24TFcOsHXVA4iwZB7AotGyCkglofqHziMSjPooWLGb1g4X2HyJLJT1O9+lKWDo1WeiS31hNFxVJYiIkW5STTmu0ltHZn6agzsr/ZU042u52yUqNobEI49y3lnphQOJ20xOd6aY+UXDPnUefhr5W2IxD18UIcitvTYAwH0Kude51OPUkRFdJIodMtEI5D71NzK9lx3cUoJT8DRVVWV3vAC0KgYRqXQ5b6Clarto2pcSseiGhqZ8FWxTHomA+M2Us1T+tVlHw9E31jR1rw0LSeEoSRBq4lo25kXx+I2paVldGECYqmS3fGjcvg9HBXXP/u7/2+UFLSteY6L+8I22n4LoPBQJ2d5i7P19R01YXoDRj9eH9DQ4Nze5F2PpwOMk1nd0SljxxRlA3BmjVr+PfSpV2l1RGVhkEOZThPQCR63rx5tHr1ajrttNPo17/+Nf3+9793Ko4jJR2GvCqSNupw2tiBYWQD1O+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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plot_res_energy()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "cell-19", + "metadata": {}, + "outputs": [], + "source": [ + "def plot_road_loads():\n", + " \"\"\"Plot road loads\"\"\"\n", + " fig, ax = plt.subplots(2, 1, sharex=True, figsize=(10, 6))\n", + " plt.suptitle(\"Road Loads\")\n", + "\n", + " ax[0].plot(\n", + " df[\"cyc.time_seconds\"],\n", + " df[\"veh.history.pwr_drag_watts\"] / 1e3,\n", + " label=\"drag\",\n", + " )\n", + " ax[0].plot(\n", + " df[\"cyc.time_seconds\"],\n", + " df[\"veh.history.pwr_rr_watts\"] / 1e3,\n", + " label=\"rolling resistance\",\n", + " )\n", + " ax[0].set_ylabel(\"Power [kW]\")\n", + " ax[0].legend()\n", + "\n", + " ax[1].plot(\n", + " df[\"cyc.time_seconds\"],\n", + " df[\"veh.history.speed_ach_meters_per_second\"],\n", + " )\n", + " ax[1].set_xlabel(\"Time [s]\")\n", + " ax[1].set_ylabel(\"Ach. Speed [m/s]\")\n", + "\n", + " plt.tight_layout()\n", + " if SAVE_FIGS:\n", + " plt.savefig(Path(\"./plots/road_loads.svg\"))\n", + " if SHOW_PLOTS:\n", + " plt.show()\n", + "\n", + " return fig, ax" + ] + }, + { + "cell_type": "markdown", + "id": "cell-20", + "metadata": {}, + "source": [ + "Aerodynamic drag power and rolling resistance power over the drive cycle." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "cell-21", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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84i5x7v7zn/8ggTNLuf/ylweaSc1VRbmzvz3++BPo9ddfopNOWkT/+tdj9Mtf/lrc1tkNPDU1jU466RRx+uYxX8HA7uH19XV03XU/lteQkpJM559/MZ1++lLyev0dvrZoY/KH40ffh/F6fVRR0b6JU2+A+0MyMpKosrK+4z4R0Gfpyj7euLeU/vXGVho9OIV+c7XmBBkp3vz2gDiJHz9rCF19+qRWv//dU2voSEkd3XLRDJoxNrtZ0H/TP5fJ14//8oSIVtb7MjiXYx/s49gH+7h/gP3cvWhGVYWUlTWYbDZ7tz1vpz3YYcCu4VyNbRl0MhxmcT9wy98F/k/rr80SDAZ+3fz/mv+Mg0iuWvNjfP/7F4sb95VX/iDk7eRxW+0ZgKmqc8ue6Pa2x9/G3za9H85mf8/vD8u5Ga7E83ZwhT7Y19/yMVvu485eW7DHZGZmkjx3MKCCDUA/dBBvj8G6RLy4oqHV7/gCVVrVKF/npCe0WcFmGp0eSknsvpslAAAAAEBPkZiorZ3aggPftgLawP8J5uu2fsaV60WLjqNrrvm5PA9L0PPzj9Bxx50Q1nZ2FIC2Z57W1mNaOzBa096P5s+jgmuGg3IVmHf2+jt6zJa/7w7n8EAQYAPQx6hv7LqDeHuoHuyiNgJsDuwdLm+bLuIWs5nibBZyur0IsAEAAAAAosytt95BDz/8IL322kvyPZud8WzpkSNH4b3vYRBgA9DHqG10RTHA1irTVXUucrg8FG9vukSU6NXrjJS4ZjOwFYnxVgmwG5xaAgAAAAAAAESHefPm0zPPvNihJBv0DGiUBKCPUW+YnEX+QpoUb6OURO1xiyu0gFphyMNbVK8VmIUNAAAAANC9sCQbwXXvAgE2AH2MuihKxANl4sWVzWXipVWag3hORvP+awWPDVM92AAAAAAAAPRHEGAD0GfHdEUnwB6U0XYfdnsGZ4EScabBgQAbAAAAAJ3Tz4YZgX5yLCLABqCPSsSj4SIe2IddWN48wC7rJMBWFWz0YAMAAACgI3hcFMPjlQDoDahj0WLpukUZTM4A6GPUqgp2fHQC7FGDU+Xz+t0ltPPwEJo8MkO+L67spIKtAmxUsAEAAADQAWazhRISkqmurlK+t9vjZJxStPH5TOT1omoey/hC3MdqjjYfi3xMms1drz8jwAagD8EXAVXBVmZkkWbKyAyaOTaLNu8vp0ff3kYP3LiIGp1eqqzVMntDspI6lIijBxsAAAAAnZGamimfVZDdHXDw5PP5uu35QPcT7j7m4Fodk10FATYAfQieQ+31+aMqEecM8s++N5Vueeg76fc+XFRHLnfT/GsVSLcEEnEAAAAAhLLeSEvLopSUDPJ6o+/fYrHw8yVSdXUDqtgxiiXMfcyy8EhUrhUIsAHogwZnNquZ4mytZ1FHCp5/PXV0Jm3cW0bbDpZTvP5cwwckt/s/SXrgrbYRAAAAAKAzOLAxm+1Rf6OsVjPFx8dTY6OXPB5UsWMRay/ZxzA5A6APEW0H8UBmjc+Wz8s2F9Cu3Cr5erTen90WWfp87LJqbZwXAAAAAAAA/Q0E2AD0IarqtD7o1KToZ3qPnjxQAvnyGidt2lcmP5syqv3elJy0BMNtHGM3AAAAAABAfwQBNgB9CGU0lpkSF/XnstssNG9ijvE9B9sjByV3WMFm/0+Xx0c19a6obx8AAAAAAAC9DQTYAPQhKmpUgK3JsaPNwumDja+PmzmELB0YQFgtZspM1QL/R97a1i3bBwAAAAAAQG8CATYAfYjKWq2/WQWy0Wbc0DS65aIZdMbRI2jpMSM7/ftJI7SZ2fvzq41qOwAAAAAAAP0FBNgA9CFU0JrRDRJxxYyx2XTRieOMMVwd8aOlk2lAegLxYIQNe0q7ZfsAAAAAAADoLSDABqAPoRy6M1O7RyIezkzLuZO0vu3iioae3hwAAAAAAAC6FQTYAPQRPF4flddoAfaADM2xuzeSnqRV16tgdAYAAAAAAPoZCLAB6COUVzvI72d3bzOldcOYrnBJS9a2rVofKQYAAAAAAEB/AQE2AH2E4spG+TwgPVGk2L2V9GStgl1dh1FdAAAAAACgf4EAG4A+QkllQ6+XhwdWsKvqneTnkjsAAAAAAAD9BATYAPQRSlQFu5cH2KoH2+X2kcPl7enNAQAAAAAAoNtAgA1AH6Gkqm8E2HF2izHSqwKzsAEAAAAAQD8CATYAfayCPTC9dwfYTHaaNkasvFrbZgAAAAAAAPoDWpkpAlxyySWUl5cX1v++8sorNGzYsEhtCgAxh8/np1Kjgp1IfSHAPlJSZ8ztBgAAAAAAoD8QsQC7oqKCFixYQElJSSH93wcffEBeL/o0Aejw/KpxkNfnJ6vFTBmpWo9zbyY7Tauy78+voRNm+8nci13PAQAAAAAA6HUBNnPTTTfRyJEjQ/qflStXRnITAIhJivXqdU56fJ8IVpVEfOX2IqqsddAdl8/p6U0CAAAAAACg7/Rg33jjjZSVlRXy/912221h/R8A/dJBvA/0XzPTxmRSUryWv9uVW2UYtAEAAAAAABDLRCzAfvTRR+lnP/uZfN66dWvQ82/POOMMSk5OjtRmABDjM7B7f/81Mzgrif51y3E0YXi6fL/tQHlPbxIAAAAAAAB9J8A+/fTTqaamhv75z3/ShRdeSAsXLqTbb7+d3n77bSorK4vU0wDQL+krM7BbMn1Mpnzeuh8BNgAAAAAAiH0i1oN98803y0dlZSWtXbuW1qxZIx9sYsZMmjSJFi9eTMceeyzNmTOHbDZbpJ4agJhHSawH9rkAO4ve+OYAbd5fLv3YC6YMJFMf6CEHAAAAAACgx03OmIyMDDr11FPlg6mqqqJ169ZJsL1q1Sp65plnJLj+8MMPafDgwZF+egBiDp/fT6V9tII9fEAyDcpMpKKKBnrivR1EfqJjpg3q6c0CAAAAAACgd0vE26O6ulpGeHGg7XQ65WdxcXFkNkf9qQGICarrXOTy+MhiNlGW7s7dV+Bq9W0Xz6TEOC2X993Wwp7eJAAAAAAAAPpOBZuDaK5Uf/vtt/TNN9/QkSNHyGq10qxZs+jMM88Umfi0adMgEwUgRIMzDq4tfTAxlZ2eQL/5wTy667FVtDu3ijxen8zzBgAAAAAAINaIWID91ltv0ccffyzBtcPhoGHDhhk91wsWLIBTOABhUtzHRnS1BW97nN1CTpdXDNuGZCf19CYBAAAAAADQewPsf//731ReXk7XXnutjN4aNWpUpB4agH5NX3UQbykVH5yZSIeKaqmwvAEBNgAAAAAAiEkiptOcMWMGuVwuevjhh+nXv/61MQ/b5/NF6inksR588EHavHlzxB4TgN5OX5uB3R6Ds7TtL6qo7+lNAQAAAAAAoHcH2H//+9/FKZznYI8bN45eeeWVVvOwS0tLu/QcTz75pATu+/fvj9RmA9DriYUKNjMoS5OFcwUbAAAAAACAWCSiJmeJiYl08sknyweze/duMTpbtmwZ/b//9//I7XYb87Cvu+66kPqyd+3aRY899pgYpgHQX/D7/X12BnZLWCLOIMAGAAAAAACxSlStfCdOnEjXXHMNPffcczL3+sorr6Tc3Fz673//K/3aoTiT/+IXv6CbbrqJ7HZ7NDcZgF5FbYObHC4vmdiNO61vB9iDDIl4gyQOAAAAAAAAiDWiUg7mxTPLuNevX0/r1q2Tz/n5+RQfH0/z5s0T2fiAAQOCfry//e1v8vccoD/wwAPR2GQAerU8PDM1nmzWvj3aiivwJhNRo9ND1fUuSk+O6+lNAgAAAAAAoHcG2Gxotnr1agmoN27cSFVVVeIcPGXKFJl/vWjRIpo7d27IFegVK1bQu+++Kx/8eJHA2ssDFYs+I1h9BrFHsPu4rEaXh2cm9vrjtjN4+7NS46ms2kGVtU6Zjx3r4FyOfbCPYx/s4/4B9nPsg30c+1h6SQwVsQD7tttuE/n3kCFDpAebA2qef52ZmRn2Y3KQfuedd9I999xDAwcOjMh2ms0mysjoGzN4U1NjPwDp73S2j6sbPfJ5+KCUPnPcdsSAzEQJsJ0+ionXEyw4l2Mf7OPYB/u4f4D9HPtgH8c+qT0cQ0UswL7lllukWj169OhIPaSYmjkcDnEn5w+GjdK4ml1SUiIzt0PF5/NTTU3vdjHmrAsfGDU1jeT1Rm7MGeh7+/hwQbV8Tk+yUWVl3x9vlZpgk89HCqupcmQ6xTo4l2Mf7OPYB/u4f4D9HPtgH8c+lijGUPy4wVbGIxZgL1261Pi6urqa0tLS2v3br776iqZNm0Y5OTkdPubxxx9PQ4cObfVz/r9hw4aFva0eT98IWvnA6CvbCqKzj4srtGRQdmpCTBwLqu+6vNoRE68nWHAuxz7Yx7EP9nH/APs59sE+jn28PRxDRcXkjN2+//SnP9Hw4cNbSb7vu+8+euedd+jTTz/t9HFYYs4fLedtH3PMMXTWWWdFfLsB6K0mZ319RJciI0ULsCtqnT29KQAAAAAAAEScqHSAs4z76quvpry8PONnn332mQTFH3zwAf30pz+lwYMHR+OpAeiT1DW6yenyNvtZbYOL6h1aD3ZOemwF2JW1jp7eFAAAAAAAAPpGgP3QQw/JSK6rrrqKtmzZQrfeeivdcMMNYlT2xhtvyEzrcOdZs+nZzJkzI77NAPQUHEj/6j8r6LdPrZavFQcKauTzoMxEirNbYmIHpSZp531dg7unNwUAAAAAAIC+EWBnZ2fTs88+K0H0RRddRF9//TXddddd9Oqrr9KkSZO69NiXXHIJjR07NmLbCkBPszu3ihqdXiqtctCrX+0zfr5fNzgbOzSVYoVk3eSsFgE2AAAAAACIQaI2JIyNyP73v//RqFGjKCMjg0499VSyWGKjCgdAJNmXrwXSzIptRZRfVk9+v5827yuXn40fFjtu2ymJWoDd4PSQBw75AAAAAAAgxoiYyRlXlgN7rhU8Zquurk5cxhMTE42fv/LKK11yAgcgVjhcVGt87fcT/futrTR1VCYdKak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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plot_road_loads()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.14.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/content/hev_thrml_cs_ca.ipynb b/docs/content/hev_thrml_cs_ca.ipynb new file mode 100644 index 000000000..63e29f785 --- /dev/null +++ b/docs/content/hev_thrml_cs_ca.ipynb @@ -0,0 +1,300 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "cell-0", + "metadata": {}, + "source": [ + "# HEV Thermal Demo: Cold Start, Cold Ambient\n", + "\n", + "This demo simulates a Hybrid Electric Vehicle (HEV) with thermal modeling under\n", + "cold start and cold ambient conditions, where the cabin, battery, and\n", + "engine begin at the same temperature as the surrounding air." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "cell-1", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "import sys\n", + "from pathlib import Path\n", + "\n", + "import seaborn as sns\n", + "\n", + "sys.path.insert(0, str(next(p / \"demo_scripts\" for p in (Path.cwd(), *Path.cwd().parents) if (p / \"demo_scripts\").is_dir())))\n", + "\n", + "import fastsim as fsim\n", + "from plot_utils import (\n", + " plot_hev_fc_energy,\n", + " plot_hev_fc_pwr,\n", + " plot_hev_res_energy,\n", + " plot_hev_res_pwr,\n", + " plot_hev_temperatures,\n", + " plot_road_loads,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "cell-2", + "metadata": {}, + "outputs": [], + "source": [ + "sns.set_theme()\n", + "\n", + "SHOW_PLOTS = os.environ.get(\"SHOW_PLOTS\", \"true\").lower() == \"true\"\n", + "SAVE_FIGS = os.environ.get(\"SAVE_FIGS\", \"false\").lower() == \"true\"" + ] + }, + { + "cell_type": "markdown", + "id": "cell-3", + "metadata": {}, + "source": [ + "## Setup and Simulation\n", + "\n", + "Load a thermal HEV, set cold initial temperatures for the cabin, battery,\n", + "and engine to match the cold ambient, and run the simulation." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "cell-4", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "disch_buffer < self.res.energy_capacity_usable()\n", + "disch_buffer: 1.0674736149042887 kWh\n", + "RES usable energy capacity: 0.8800000000000001 kWh\n", + "disch_buffer < self.res.energy_capacity_usable()\n", + "disch_buffer: 1.0674736149042887 kWh\n", + "RES usable energy capacity: 0.8800000000000001 kWh\n" + ] + } + ], + "source": [ + "celsius_to_kelvin = 273.15\n", + "temp_amb_and_init = -6.7 + celsius_to_kelvin\n", + "\n", + "# load 2021 Hyundai Sonata HEV with thermal model\n", + "veh_dict = fsim.Vehicle.from_resource(\n", + " \"2021_Hyundai_Sonata_Hybrid_Blue_thrml.yaml\",\n", + ").to_pydict()\n", + "veh_dict[\"cabin\"][\"LumpedCabin\"][\"state\"][\"temperature_kelvin\"] = temp_amb_and_init\n", + "veh_dict[\"pt_type\"][\"HEV\"][\"res\"][\"thrml\"][\"RESLumpedThermal\"][\"state\"][\"temperature_kelvin\"] = (\n", + " temp_amb_and_init\n", + ")\n", + "veh_dict[\"pt_type\"][\"HEV\"][\"fc\"][\"thrml\"][\"FuelConverterThermal\"][\"state\"][\"temperature_kelvin\"] = (\n", + " temp_amb_and_init\n", + ")\n", + "veh = fsim.Vehicle.from_pydict(veh_dict)\n", + "\n", + "veh.set_save_interval(1)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "cell-5", + "metadata": {}, + "outputs": [], + "source": [ + "# load cycle and set ambient temperature\n", + "cyc_dict = fsim.Cycle.from_resource(\"udds.csv\").to_pydict()\n", + "cyc_dict[\"temp_amb_air_kelvin\"] = [temp_amb_and_init] * len(cyc_dict[\"time_seconds\"])\n", + "cyc = fsim.Cycle.from_pydict(cyc_dict)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "cell-6", + "metadata": {}, + "outputs": [], + "source": [ + "sd = fsim.SimDrive(veh, cyc)\n", + "sd.walk()\n", + "\n", + "df = sd.to_dataframe()\n", + "sd_dict = sd.to_pydict(flatten=True)" + ] + }, + { + "cell_type": "markdown", + "id": "cell-7", + "metadata": {}, + "source": [ + "## Visualize Results\n", + "\n", + "Fuel converter power and energy, battery power and energy, component\n", + "temperatures, and road loads under cold start, cold ambient conditions." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "cell-8", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig_fc_pwr, ax_fc_pwr = plot_hev_fc_pwr(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "cell-9", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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at912j9LTO3YPcQI2AAAAgK04qouV8epxksOpkoMflz+1p6pH1PUgIrrsecdnzT6324Bs3Xb48ODxfvfMUbXX32TZsb0zdN+sUcHjmQ98peKqpodX75SfqseOH9vqunq9Xv322woddtiR6t69rif5X/+6UzU1NSHldt11go455njrsem9/u9/n9JPP/1oBex//ONaJSenKC4uLuT5devWKjk5WQkJiXI6HcrMzLSeT0hIsIJ2w3FHImADAAAACOWtVvrs0+QuWmQN/wbCFkDdbp1wwim69dab9Nxz/9XEiZM0efIeVqBurE+fviHHaWlpqq6uW/gsIyNTixYt0Pfff6dVq37T0qVLtGLFMk2cODniDUXABgAAALBZwK+09/6g+LVfyh+fFuy9RvT6+Pe7bXOIeGPvnDup2bKhJaVXzxjf4rKtccYZ52jatP302Wef6Kuv5ujFF5/Tbrvtqeuuu3lzvZ1bDz8PBALW/S233KDZs1+zAvWQITtYAf3uu29TNCBgAwAAAAhK+eyfSlzyugLOOJVO/498OTtxdaJcUivmQndU2dYaOHCQdTvhhJP14Yfv64orLtWaNavVs2evbb5u06aNViC/6qrrNG3avtY5n8+nwsLCYADfklkkrbMQsAEAAIAo5KjcJEdg8yJT/qRcqb5Xz1FbJoenstnX+pNyJGfdn/qO2nI5PBXNl03Mllx1c1mTvn9AyT/cbz0um3aLPL2b7xkF2qKgYJNOOeU4XXjhJdp7733k9/v166+/KCMjQzk5udt9vcvltuZTr1y5wjouLy/XXXfdquLiItXWhs7jbpCYmKjy8jJr/nfDMPWOQsAGAAAAoomvVulvna2E5e+EnC446avgUO3kr25R8g8PNPsWhcd+JF/WIOtx0tx7lPLtHc2WLTr6TXnzRpjxt3JUF1nnyif9VTVDDwvTDwRsZkL0hRderPvvv1vXXvt3q9e5f/+BuuGGW63FyLbHbOV18cWX6d5779ITTzxiLXZmgvoBBxykhQsXNPmaPfbYS88++7T23XcP3X77vzVy5Gh1FAI2AAAAEC0CAaV98KdguA44mhmi63A2/9xWZR0tK2vKJWaqYtzvVTXmnNbUGmiVadP2s25mr+pAwG+t+t3YTTfdbvVSN3b99bcEz82ceZh1q66utnqnDbMKeU1NtfX4iCOO0owZhwRfa7b3evnlN63nTSDvSARsAAAAIEokf3mTEhe8YAXikhmPytN3rybLVez2N+vWEpUT/mTdWqJq9Jmtqi/QHvHx8U2eT01NbdG5hnBtmN7vhh5wE9i3DO0mnHd0uDY27zgOAAAAIHICfrnKVloPy/e6odlwDSB60YMNAAAARAOHU2X73K7qHY+Wp88eka4NgDagBxsAAACIIGfpKqv32uJwEq6BLoyADQAAAESIs/Q3ZT1/sNLfPkfy1i3QBKDriooh4mZT8LfeektFRUUaP368dt1115DnKyoqNHv2bK1fv17Dhw/XXnsxHwUAAABbc5atUdJPD1l7P1cNP1G+3GHWefe6b5X463PNXrLqYcfI221UXdmNPylx3pPNl93hSHl77GI9dhX8qqSfHgmtg8MhJbiVXONV1aAZwb2kXcVLlfR93R7TDeJXfiJn1UbrOYffo4BCF2YC0LVEPGAvWbJExx13nCZNmqSePXvq/PPP1+GHH65LL73Uen7Tpk2aNWuWevfurWHDhumKK67Q7rvvruuvvz7SVQcAAEAUcVQVKOOVo+UuWW4d1/bfJxiwrXA774lmX+vpNTkYsJ0lK7ZdNn/M5oBdvqbZsmY949qsocGA7axY32RZX2oPlcx4TIH4tFb9vACiT8QD9rXXXqtp06bpmmuusY5NeD755JN19NFHa8CAAbrzzjut4P3II4/I4XBYYXvGjBlWCDe93QAAAIA8lcp4/SQrXPvS+qh6p1nyZQ4MXhhv7s6qGH9JsxfKm71D8LEve+i2y+YO3/w4Y8BWZZ1Oh5KS4lVVVStv/pjN75vWZ6uyAVe8aoYeKn9qDxoRiAERD9gmUO+5557BYzMEvKFn2wTsd999VxdccIEVro3+/ftrzJgxeueddwjYAAAAkPxepb9zruI2fC9/QqZKDn5CvqxBIVfG9GRX1vdmb48J2JXZQ1tU1p85QJW7/iHknNvtVFJWiqqLKuT1+jeXTe+9VVkAsSXiAfuUU04JOf7444+tTcB33HFHa252QUGBFbQbM8cLFy7s5JoCAAAg6gQCSv3or0pY/p4CrgSVHPTIVuEaAGwTsBt8/fXXevrpp60e63/+85/WnOvly+vmz6SmpoaUTUlJUVlZWZs/y3yrGGkulzPkHvZB29sXbW9ftL190fadwFOpuKIFCjicqph+j9RnfMT/wKXd7asj297vrxvRGwuqq6t13XX/0HfffasBAwbq9tv/3a73u+CCszRmzDideuqZ7Xofl8vR7qwY6f/+BLndbk2ZMkU+n0+33367NVQ8Li6uybKBQCA4ZLy1zJyYrKwURYv09KRIVwERQtvbF21vX7S9fdH2HSlFOuV1afmnSh26n6IJ7W5fHdH21dUubdrkDEsIjLSPPnpfn376kR588DHl5eW1++epqqqUx1Pb5vcxX144nU5lZCQrMTExNgK2mVdtbocccoiOP/54/etf/wquFF5eXh5S1hxnZGS06XP8/oBKSysVaeZbLfOLV1paJZ9v89wcxD7a3r5oe/ui7e3Ljm3vKFttbZHVWCApR4Hk3LoDb42c9at8NyWQmKVASre6A1+tnMXLmv6cmhL5ejZa8DZvN6moQtHAju2Ojm/72toa+f1++XyBkLn9XVFhYZFycnLVv3/ddI72/jyBQF3Oa+v7mGtqrm1JSaWqqnxbPW/atKWjEiIasE1Qvvfee62Vwfv06RM8P2TIEH3zzTfKysqyvtFYtmyZJk6cGHzeHI8YMaLNnxtN/yDNL1401Qedh7a3L9revmh7+7JL26fMuU7Jc+/e6nzFLheqcsKfrMeuohXKeGpqs+9ROepMVex+pfXYWbZeWU80X7Zi3O/r3reNIxs7ml3aHZ3T9iYExoLbbrtJr776srxejw44YC/98Y+X6bXXXtpqiLcZ9r3LLuN10kmnWcevvvqSXnrpOWudrr59++nEE0/RrrtuzojhEI4vLyI6tsDMrX7rrbf08MMPB8+ZudUfffSRdt11V+t4//3310svvaTa2lrr+Ndff9X333+vAw44IGL1BgAAQKik7x8Ihmt/YnbILeBuNFzW4dzq+ZCycY3LOrZZ1lWxzlpBHLA9T2XzN291K8pWtb1sC51zzgVWOM7P76HnnntNU6dOU2VlpWpqakLKNT738svP68EH79UZZ5yr//znMR144MH6y18u0ddffxF1TR/xIeI33nijzjnnHK1atUq9evXSBx98YG3FddFFF1nPn3feeTrmmGOsfbHNvGyzCJoZQj569OhIVx0AAABGwK+41Z9ZD8sn/UVVY89r9rqYvakLTvuxRdfNn9qzxWUBO8u7v/lt5Wr67a3SGY8Fj3MfGiVHM+G4tudElRz2fPA457GJclYXNlnW022Uio96o9V1TUhIVHx8grU2Vlpa2nbLm/W3Hnjg3zrnnN9r8uTdrXPTp8/QwoUL9MgjD4a9F7vLB+yxY8fq7bff1ieffKLS0lIdeOCBwd5rIzs7Wy+//LLee+89FRUV6YgjjrDmagMAACBKOJwqnf4fJSx5QzWDZ0a6NgBiyIYN61VSUqLbb/+X7rrr1uB5j8fT7gXJYjJgG5mZmTr44IObfT4pKWmbzwMAAKDzOSvWy5/crW4OtNOtmiGH0AxABGw8c2HzTzpCZwVvOvWHbZQNXc+g4MRtDMHu4LUP/P66xcYapgpfffX12nnn0HW42rqzVMwHbAAAAHQtztKVynzhUNX2n6byKddaARtAhMQlR75sO8TFxammpjpkWPjGjRusxz169FR8fLwWLVqgiRMnK9p17Q3UAAAA0Okc1UXKeO14uSrXK27dt3KYBY8AoI123HEnffbZp9q0aZM19PvBB++zhoUbbrdbs2Ydp6eeelzffvu1Fb5Xr15lrTJ+7bVXKdrwVSMAAECsCwSU9N291mJFFZMvD57OfP5ga4Gypnjzx6h8z38GjzNeOjK4MJKzcoNc5WvlS+2hkoMfVyAhvRN+CACx6oQTTtGKFct1xBEHWYugTZu2n/bYY6/g82b7Lq/Xq8sv/7OqqiqtMmb18QsvvFjRhoANAAAQ45Lm3q3UL65XzYD9Q867N/woR6BunuOWAgmZoWU3/iynpzx47E/IUMmMJ6yVvgGgNY48cpYOPfTw4HFOTq5uvfVuq/fa6XTK5XKpuro6OMfaDCE/77wLde65v7e27tpycbM777zPek00IGADAADEsIQFz1vh2vDmhS4QVHrQw1bvdlP8SdmhZQ+4T45Ge057uo9VIDGrQ+oMILbFx8dbty2ZIN2gqRXCTeBu6nxycufMFW8JAjYAAECMilv5sdL+d4n1uHL0Warc9Q8hz9f227vF7+XpOyXs9QOAWMMiZwAAADHItXGe0t880+p1rh5ySMjcawBAxyBgAwAAxBhn2RplvH6iNWe6ttdklU27Zau9cAEA4ccQcQAAgBjjT8yUN29nBcoyVTr9AcmVEOkqAYAtELABAABawlej+BUfyuFtes/nQFyKagfsFzyOX/E/uTylUkqi4iqq5fJvXkws4EpQ7aADQ+ZKO6sKmv5ch1s1Qw7eXHbVZ9Y2Wc0UVs3QQ6W4ZJUe+JAcNSUKJGTQvkAMMftAI3qvKQEbAACgJX80bfxZae9dGLJVVWO+9H4qbBSwk7+4UXGbfrYep25ZNrmbChsF7JSvb1Pc2q+afF9/XGpIwE6ee4/iV37UZNmAw1kXsA2nW4GkHNoWiBEN21DV1tYoPp5RKeFkrqnhcrU/HhOwAQAAWsDbfZxKD3xQyV/faoXXLfmTu4WWzx8tJWUqzu2Sx+sL2Q3Lv8Ue0568EQq4tt6yxgi4k0LfN29nqZm9q5lnDcQup9OlpKRUlZcXWccmZDfsE42291ybcG2uqbm2Zg/u9nIEbDbGwOfzq7CwItLVkNvtVFZWioqKKuT1+iNdHXQi2t6+aHv7ou27sEBAjsqNCqSEhueWou3tiXa3r45uexPdSksLVVXV9EgatI0J1+np2c1+YZGdnSKXq2Xhmx5sAACA5v7o+u4eJc/9t0oOekTeHrtwnQBElAmAGRk5SkvLks/npTXCwAwLD0fPdQMCNgAAQBMSfn1eqXOuq/uDaeOPBGwAUcMEQqez6WkliCw2RAQAANhC3IoPlPbBJdbjyjFnq3rkqVwjAMB2EbABAAAacW/4QRlvnSWH36vqoYepYtJfuT4AgBZhiDgAADHOvf57pb17vlxla4LnvNlDVDzr7eBx1jP7ylW0pMnX+9J7q+i4j4PHmc/PtLasaoo/KVuFJ38TPM545XeKW9P09lOBuCQVnD4veJz+ximK/63p7aeMTecsDT5Oe/tcJSx9q/my5n3j6lbfTv3fxUpc8FKzZQtO/kaBpGzrccrHf1PST4/IoYBq++ypsr3/xcrcAIAWI2ADABDDXEWLlfH6CXJW123r0sD0zobwe+Xw1zb5Hg6fp+Vl/VuW9TRbVj53i993q88JtKKs39eK9/VZ4drTfReVHnC/1MzWWQAANIVtuiKE7Rvsi7a3L9reviLV9s7yNcp84TC5ylfL022USve7R3LFWc8FHO6QraccFRus0Nokh0v+lPzNh5Ubtw7SwSed8qd0b1R20zbCrUP+1B6bj6oK5fBVN/vz+FN7bi5bXSSHt6r5sqYODmfLyibnS05Xfdliq2zd69u/vyy/9/ZEu9sXbR+b2KYLAABIfr8C7gR5MweqZMZjCiTlNHtVTNgOtPCaBZLzWlE2t+Vlk7JbXjYxSwFldUDZTAWU2cJaAAAQiiHiAADEKH96bxUf/pIc3upthmsAABAerCIOAEAs8XkUt+bL4KEJ1v60XhGtEgAAdkHABgAgVgT8Svvfxcp4+Sglzn8m0rUBAMB2GCIOAEC08/uU/PUtcm+ap9KDHgmeTvn0H3Jv/DF47KgtV9ymnxUwi5Il50WosgAA2BcBGwCAaBYIKPXTK5X006PyJ2SEPOUumK/4NV9s9RKzd3Nt/2mdWEkAAGAQsAEAiGJJ391jhWujaviJIc9V7vJ7VQ87LuScN3uwfDk7dWodAQBAHQI2AABRKmHBi0qdc531uHz3v6tq1Okhz3t6TY5QzQAAQFNY5AwAgCgUt/ITa8Eyo3LUmVuFawAAEH0I2AAARBlHVaHS3zpTDr9H1YNnqmK3KyJdJQAA0AIEbAAAokwgKVvle1yt2j57qmyfWyUH/7sGAKArYA42AACdyFW0RK6ihc0+7+k5UYHELNXseKRqdjhCcjhoHwAAuggCNgAAHTyXOtB382JkCUtmK+XLG5otX3T4S/L22LXugHANAECXQsAGAKCDxC97R+mzT5O3z27SiS9Y53ypPeTpvkuzrwnEpdAeAAB0UQRsAAA64n+wG35U+jvnyaGA/Bn9JHeCWQ+8buj3jkdyzQEAiEGsmgIAQLj/51q2RulvnCKHt8paqKxyr2sZ7g0AgA0QsAEACCNHbbky3jhJrsr18mbvoNL975VccVxjAABsgIANAEC4+L1Ke/scuQt+kT8pTyUHPapAQjrXFwAAmyBgAwAQJq6ixYpb+7UC7kSVHPSQ/Om9ubYAANgIi5wBALokR1WBkufeI2/ecNUMPazuXHWRUj+9qtnX1PaapJqdZtUfVCjt48ubLWtW+q4efnzdgc+jtA/+1GxZb94IVY06Tb6cHVV8xEtyla2WN39Mm382AADQNRGwAQBdj7dKGa+fpLgN36ty1BmbA7anSokLnm/2ZQFXQjBgO/y12yyrgH9zwJZ/m2VrPOVWwDZ8OTtZNwAAYD9RE7BLS0tVWFionj17Kj4+PuS5hQsXyufzhZzLz89XdnZ2J9cSABBxgYDS/neJFa4D7iR5eo7f/FRCmsonX9HsS72Ngq8Zxr2tsr6sIZsPHK5tl80Y0LqfAQAAxKSIB+yCggJdeuml+vbbb5Wbm6uNGzfqjDPO0HnnnWc9X11drUMOOUQDBgxQXNzmVVhPO+00zZw5M4I1BwBEQvI3tytx0SsKON0qmfGoPL0mB58LxKepaszZLXsjd1LLyzrdLS8LAABsK+IB+29/+5tqa2v1ySefKDU1VT/++KOOP/549e/fXwcddJAWL16sQCCg5557TikpKZGuLgAgguIXv66Ur262HpdPuTYkXAMAANh6FXGv12v1WJ911llWuDZGjhypKVOm6P3337eOFy1apB49ehCuAcDm3Bt+VPr7f7AeV446XdXDjo10lQAAAKKnB9vtdls9003Nx26YX23mXw8cOFA1NTVau3atunfvrsTExAjUFgAQSb7UHvLm7ix/fLoqtjEfGgAAwLZDxLc0f/58ffnll7r99tuDPdhLlizR/vvvbwXydevW6bjjjtOf//xnuVyuNn2G2x357b9dLmfIPeyDtrcv2r6d0vNVfsRzkt8r9xaLYUY72t6+aHt7ot3ti7ZHVAVss4r4RRddpOnTp1uB2jAh2gwZv/zyy63Vxc0c7ZNOOkk5OTk688wzW/0ZTqdDWVnRM5c7PT0p0lVAhND29mWrtv/ldenrByR/6E4QlkP/LWX2qXs893Hpx/82/R59Jkh7XyE5HJKi57/fbWGrtkcI2t6eaHf7ou3tyxEwK4hFgeLiYp1yyinKy8vTXXfdtdVWXY1dddVV1qrjr776aqs/x+fzq7S0StHw7Zb5xTN1MXWCfdD29mW3tnev/FSpLx0jR6CJcC2p5MSP5c8abD1OnHOjkr66rdn3qhr/B1VP+rO6Kru1PTaj7e2Jdrcv2j42mf+Ht3TkcVT0YJutuky4HjRokG688cbgdlxmdXEzPLxfv35KTk4Ols/KylJ5eXmbP8/rjZ4/bswfWtFUH3Qe2t6+7NL2joBLgcRM1facqJpBM7Z63pOQp0D9dagaeJA8mTs0+16ebiPlj4FrZpe2x9Zoe3ui3e2LtreviAfs9evXW0O+J06cqCuvvFJOZ+g3A7/73e90ySWX6IQTTgie+/zzzzV69OgI1BYA0FKenhNUdPSb8idmWXtOb4svZyfrBgAA0JVFNGB7PB6dfvrpSkhI0KxZs7RgwYLgc6bH2vRcm+fvuOMO67hPnz564YUXrL2xr7/++khWHQDQlEBAzvK18qf1tA79qXX3AAAAdhDRgP3LL78Ee6wvu+yykOeGDx+ua665Rueff74VtGfPnm0tgjZkyBA9//zz6t+/f4RqDQBoTtIPDyj5q3+pbJ/bVDtwOhcKAADYSkQD9siRI/XKK69ss4zD4dDMmTOtGwAgesWt/FQpn/9TjoBfzvJ1ka4OAABAp2MTZgBA+/9nUrpS6e+cY4Xr6h2PVvWIk7mqAADAdiK+yBkARDv32q/lLlig6uHHB88lf32bHJ6KJsv7U7qratRpweOkb++Ss6ZETqdDSoxTUrVHfn/dDon+pBxVjTl7c9nv75ezcmPT75uQoapx5wePE398WK7yNU2WDbiTVDn+j5vL/vyEXKUrmi7rdKty4qXB44Rf/it30WI1p2LSX+v3pJYSFrwod8Evil/+vpzVRfJ0G6WyKdcGnwcAALATAjYAbEPc6jnKePUYebqPCwnYST89ImfVpiZf48kbGRqw5z0pV9nK4HFio7LerMEhATvRhNvCzQs+NuZL7RUasBe8oLgN3zdZ1qzc3ThgJyx+RfGr5zRZNuBKCA3YS2YrYcX72mbArhe//F0lLn6t7jOTclV6wAOSu/FPCAAAYB8EbABohrN0ldLfOksOv1eBuNSQ56qGnyCHp7LJ1/lTe4QcVw87Vo6aYpk1HRMT4lRdY3qw68sm5YSW3fGoZnuwAwnpIcc1Qw+ztsJqsuwWIbdm8MHy5o1s5gd1hRzWDjxAvqzBaona/tPqVgp3xql6p6ODq4cDAADYkSMQCNSNU7TRpu+FhU0P6+xMbrdTWVkpKiqqkNdb/5c2bIG27yK81cp88XDFbfxRnrwRKj78xe3u5bw9tL190fb2RdvbE+1uX7R9bMrOTpHL1bLly1jkDAC2FAgo9ePLrXBthlrXDXtuX7gGAABA7CNgA8AWEuc/qaRf/quAw6nS/e6RP7031wgAAADbRcAGgMb8PiXOe8p6WDHhz/L02YPrAwAAgBZhkTMAaMzpUvFhzytp/lOqGrl5JXAAAABgewjYAGJDICBXwS9yBHwhp/1xqfJnDggeuzbOk0NNLyzoS++rQEKGFJesqlGnd3iVAQAAEFsI2AC6Pp9HGa+fqPhVn2z1VE2/vVU647HgcdaLh8rhrWrybconXqaqsedJDkeHVhcAAACxiYANoMtL+eJ6K1wHnPHyJ4fuKx1IzA459qV0l8NX3eT7JC54UZ6+e8mbN7xD6wsAAIDYRMAG0OWZQBxwJ6t0n9tUO+jAbZYtOn7rXm4AAAAgHAjYALq8mqGHqbb3Hgok50a6KgAAALAxtukC0DX5auWoKgweEq4BAAAQaQRsAF1Syhc3KOu/+ypuzReRrgoAAABgYYg4gC4nfvn7Sv7+Puuxo7o40tUBAAAALPRgA+hSnOVrlPb+H6zHlSNPVe3AAyJdJQAAAMBCDzaADmHmR8cvf1eOgK/xWVUPOyZ4FLfyE7nKVjb7HtU7Hi056/4zFbf6c7lKlivxl2flrC6SJ2+EKiZfTusBAAAgahCwAYSfz6OM109Q3IYfQk4HHM6QgJ3082NKWPpms29TPfTwYMBOnP+MEhe+aD32x6WqdL97JFcCrQcAAICoQcAGEHbJX99ihWt/fLo8PSdufsLhCCnn6TZK8jfu4d6CY/MsFm/eCNXUlkuuOFWOPE3+zAG0HAAAAKIKARtA2IeGJ/34kPW4bO+bVDvooGbLVo07X1UtfN+q0WdYNwAAACBaEbABhFUgKVvFR81W/NI3txmuAQAAgFjDKuIAws6XNcjqnQYAAADshIANICzifvtQ7jVfcTUBAABgWwRsAGGZd53+3h+U+dIRil/+PlcUAAAAtkTABtBuqR9fIWfVJvmyh6q2z+5cUQAAANgSARtAu8Qvfl2Ji19VwOFS2bRb2ZsaAAAAtsUq4kAXlvDLf5X00yNSwB8850/tqdKDHg4ep719rlzFS5p8fSAxWyWHPL257Pt/lGvTvKY/LC5FxYe/GDxM/eivcq/7Vq6S5dZx5bjz5e02Mhw/FgAAANAlEbCBLspVuFBpH/5FDn9tyHlfbXloueIlimsmNPuSu4WWLVnWbFl/fNoWZVcEy3pzhqlylwvb9HMAAAAAsYKADXRFfp/S/neJFa5r+0xR5egzNz/nTgwpWj7lWjm2CN1BrrjQsrtdKUdNadNlnaH/uaiYeGnd5zoc8nYbJbni2/rTAAAAADGBgA10QY7qQsnvlT8uVWVTb5I/rWezZb3dx7X4fb35Y1peluHgAAAAQAgCNtAFBZLzVHzkq3IVLNhmuAYAAADQeVhFHOiqnG758naOdC0AAAAAtLYH+/XXX1dZWZna4uCDD1ZqamqbXgtgs4QFL8hVtESVu17IdlgAAABAVw3Yt99+u3777bc2fcjkyZMJ2EA7OWpKlPrZ1XJWbZI/tbuqh5/INQUAAAC66hzs//73v+rVq1erPmDWrFmtrROAJiR/9S8rXHuzBqt6p99xjQAAAICuGrDz8vKUm5tr3bdG9+7d5XK52lI3APVcm+Yr6adHrMfle1zNllgAAABAVw7YTz31VJs+oK2vA2KWr1Za+rXcZdVy+AJbPe1P6SZf9tD6A5/iVs9Rytf/kiPgV82gg+Tps0fn1xkAAADAdrFNF9DJHDWl0mOHKK2Z56t3PEpl026tO/DVKPPVuuHgAXeSyne7svMqCgAAAKBjAvZBBx20zUXO4uPjreHj++yzj84//3wlJia2riaAXTicUrdh8vn8CgS27sH2pfRoXFje7B0kh0uVo8+UP611ayAAAAAAiMKAbVYCHzq0fthqE0xQMNt4PfnkkyoqKtI111wTrjoCXV780rfNeG/VDpyuQFK2dO4clRZVyOv1b/uFcUkqOub9zqomAAAAgM4I2JdffnmLyi1atEhHHnmkrrzySiUkJGy3vAnmL7/8srXPtgnmAwYM0JlnnqkddtghWObLL7/UQw89pPXr12v48OG68MILW73YGhApjuoipX14qbUCeOl+d8u302E0BgAAABCDnOF+wyFDhigtLU3FxcUtKn/vvffqpptu0mGHHaarrrpK3bp101FHHaXFixdbz8+dO1dnnXWW1YP+t7/9TZs2bdKJJ56o2tracFcd6BApc66t315rqGoGTucqAwAAADEq7AH73XffVUVFhRWUW9J7/eijj+r3v/+9ZsyYoREjRujSSy/VsGHD9Pjjj1tl7rnnHmv+90knnaRx48bp9ttvV2FhoWbPnh3uqgNh5173rZLmP209LtvrerbXAgAAAGJY2AL2FVdcob333tta4Oycc86Rw+FoUcA2c7ZnzpwZct6EczMc3Ov16uuvv9akSZOCz5lh57vssos+++yzcFUd6Bh+r9I+/Iv1sGrHWfL2HM+VBgAAAGJY2Lbp6t69uzWMe99999WUKVNa9Bqn06lBgwaFnDMLpX3xxRc67bTTVFBQoOrqavXo0WOrz5o3b164qg50iKSfHpW7YL78CRmqmPxXrjIAAAAQ48IWsE3PdTiYedhmDvdxxx1n9WIbSUlJIWVML3ZVVVWbP8PtDvvI+FZzuZwh94gtjupipXx1k/W4arfL5UrbvCgfbW9ftL190fb2RdvbE+1uX7Q9WhywzbZbZoGx1qw6npub26orfOONN1pDv5944gmlpqZaq4obZqh4Y+a4rftsO50OZWWlKFqkp4d+eYBYkSId9Yj0w9NK2f0MpTi3/iKFtrcv2t6+aHv7ou3tiXa3L9revlocsD/88EOVlpa2aOstwwztbo0bbrjBWrjMhOuGYeMmoJu53A1Bu4FZ5Cw7O1tt4fcHVFpaqWj4dsv84pWWVsnn285eyIh+Ab8Svv23XCUrVDtwf3kHTJNyJ0vTJksloaMtaHv7ou3ti7a3L9renmh3+6LtY5PJbS0dedzigG3mVb/11lsaPXq09t9/f+vY9DK3l1nozAwLN/Oun376afXs2TP4nBkabrb9+vnnn0PmdZv514ccckibP9PrjZ5Aa8J1NNUHbZM47wklf3aN9dib0lPePlO3+xra3r5oe/ui7e2Ltrcn2t2+aHv7crZmlfD33ntP06dPt4L2XnvtpbPPPlsvvPDCVj3MrXH11VdbveOm57pxuG5w9NFH66mnntKSJUusY7Pq+Nq1a3X44Ye3+TOBcHJUFyllzvXW4+qhh6u250QuMAAAAGBDrVrkzMx7NgHb3MrLy63A/cYbb+gf//iHxowZo/3220/77LNPi/bANn799VcrMGdmZur4448PeW7kyJHWnOxjjz1WS5cutXqszeJnLpdLd9xxR4s/A+hoKV/cKGdNsbzZO6hs2i2SM2xrBwIAAADoQhwBM0a7nUwP9jvvvKM333xT33zzjUaMGKG77757u/OkTUhvWCl8S2Z4eOMebVPWzAE3W3SZ7b3aM1yjsLBCkWZWMjeLrRUVVTBEvAtzb/hRmc8dJIcCKj7seXla0HtN29sXbW9ftL190fb2RLvbF20fm7KzU8I/B3tbMjIy1L9/fw0cOFALFizQd999p8rKyu0GbDOHu6XzuFtTFugUAb9SP77cCtfVQw5tUbgGAAAAELvaHLD9fr++/vprq9f63XffVXFxsXbddVdrP2wzTDw/Pz+8NQWijd8jT69J1srhFbtdEenaAAAAAOhKAXvLUF1WVqbJkyfr4osv1t57723NpQZsw5Wgikl/VcUuF0lx7GcOAAAA2F2LA/Ytt9xirRhu9rc2W2Zdfvnl1n1KSkrH1hCIdoRrAAAAAK0J2KbXOj4+Xnvuuafi4uKsfavNrTl/+MMftjsHG+iKHBUblP7+H1Qx/hJ5u4+NdHUAAAAAdLWAbVb1XrlypbUHdkucccYZBGzEpJSvblL8yo/lqC1X8RGvSA5HpKsEAAAAoCsF7FdffbVjawJEKWf5Gjlq67Z2c5avVuL8Z6zH5btdSbgGAAAA0PqA/fPPP2vIkCFKSEho6Uva9TogYvw+yekKHqZ8drUSF78WUqR60Ax5e+wSgcoBAAAAiFYt2y1b0kUXXaR169a1+gPa+jogIjxVynpmXyXN/bfk81inAnEp8idmBW/erKGqmMy2XAAAAADasU2XGSaelZXVmpdYW3kBXUXyd/+Wu2ihkn56RFUjTzZLhKt875tVrpsjXTUAAAAAsRSw77rrro6rCRBhzrI1Sv7uHuux1UPtZm9rAAAAAB0QsF966SX5/X61RWpqapteB3SmlDnXyOGtVm2PCaoZPIOLDwAAAKBjAjYhGbHMvfZrJS56RQE5VLHHVawODgAAAKDjFjkDYlbAr9RP/s96WD3sd/LmDY90jQAAAAB0QQRs2J57/Xdyb5onf1yqKib82fbXAwAAAEAnLHIGxCJv93EqOvYDuYoWK5CcF+nqAAAAAOiiCNiAJF/mQOsGAAAAAJ06RNzj8bT5A4Go4amSq3BhpGsBAAAAwM4B+6ijjtJll12mOXPmtHnrLiDSkn56RFlPT1PKnOsiXRUAAAAAdg3Yhx56qH744QedfPLJmjp1qm6++WYtWrQo/LUDOoijplTJc++WQwF5swZznQEAAABEZg62CdbmNm/ePL322mt65ZVX9MADD2jYsGE65JBDNGPGDOXm5ra/dkBbeCoVv/IjOXxe1QzYR3InWafdG3+Sq3i59Thu5Ydy1hTLmzVENUMP5zoDAAAAaDdHIBAItPdNzDDxL7/8Us8995zeeOMNuVwuq2f7nHPO0fDh0bWnsM/nV2FhRaSrIbfbqaysFBUVVcjrZZh9OKW9fY4SF79mPd508lwFUrpZj1M+/puSf3o4pGzJ/veqdvAMdSba3r5oe/ui7e2Ltrcn2t2+aPvYlJ2dIpfL2Tn7YJtw/fnnn+vVV1/VZ599Zp0zPdkFBQU68sgj9dBDD7X3I4AWi1vzpRWuAw6nantOlFxxwed8mQNU22tS8FY56kzVDjqQqwsAAAAgstt0LVy4UC+//LI1RHzDhg3Ky8vT4YcfriOOOEKDB9fNaTWLoJ1xxhmaNWuWUlJSwlNjoDkBv1I+vcp6WL3TMSqfekPI09UjT7VuAAAAABA1AduE5o8//lhxcXHae++9ddhhh2nPPfe0hoY3NmnSJGVmZqqyspKAjQ6XsOBFxW38Uf64VFVMuIQrDgAAACD6A3ZSUpKuuOIKazGzrKysbZa97bbbWPAMHc9TqZQv6rbbqtzlAgWS87jqAAAAAKI/YP/973+Xz+eT1+vVxo0bQ55zOBxKTExUamqqdbzLLruEp6bANrgLF8jhq5UvrY+qRp7GtQIAAADQNQK2mVP922+/bbOMGRpuFjn7wx/+YA0lBzqSN3+MCo//VK7SlZI7kYsNAAAAoGsE7D/96U9WcB4xYoQOPPBA5efnq7S0VN9++61ef/11zZw5Uz179rS27XK73brooovCX3NgC4GEDHnzMrguAAAAALpOwDZ7XpsQff3114ecP/roo7XPPvvozjvv1HXXXafp06fruOOO0+9///utFkADwsFZ+pvcm35R7YD9zPwELioAAACAiGnTPtjff/+9jj322Caf23fffbV+/XoVFxdb23WZ4eFmT2ygI6R8ebMy3jxNKZ/9gwsMAAAAoOsFbBOaV65c2eRzhYWFKisrCx6bhdDovUZHcBX8qoSFL1mPa4YexkUGAAAA0PWGiJu9r6+55holJCRYj53Oupy+bNkyXX755Ro9erS1yNl7770nv9+/3a28gKa4Ns2Xs7pInm6jpfgU65yzdKVcpXUL7CV/9285FFDNoAPl7TaSiwgAAACg6wXsU045RT///LPOO+88qzc7Ly9PlZWV1rDwQYMG6d5777XK3XDDDda87IYADrRU/JLZynjrTOtx4ax35MsdZj1OXPiiUr68KVgu4HCqYvyfuLAAAAAAIq5NAduE6jvuuENff/21PvzwQ2vOdU5OjkaNGqX9998/OCTcLIJmerOBVvFWK/Wzq62HvtRekis++JQ/MVverKF1Bw6Hqnc4XL7sIVxgAAAAAF0zYJvtt3bccUftuuuu1q0548aNa0/dYFNJP/xHrrKV8qV0V+GxH0hxycHnqoefYN0AAAAAINq0aez2k08+qY0bN4a/NrA9R+VGJX97l3UdKiZdFhKuAQAAACDmArYZDu7xeMJfG9iemV/t9JTL022UaoYebvvrAQAAACDGh4gfcMAB+tOf/qQPPvhAAwcOVG5u7lZl9ttvP6WmpoajjrBR73Xighesx+W7/Z/kYHE8AAAAADEesO+//37V1NTopZfq9iBubv41ARutEUjOU9GsdxS//F15e47n4gEAAACI/YD91FNPyefzbbOM2boLaC1f1iBVZQ3iwgEAAADocto0BteE5+7du8vr9VrDxP/73/8qMTFRy5Yts+Znm+catuoCtisQkKt4KRcKAAAAgP16sI277rpL99xzT7An+9BDD9WVV16ppKQk/ec//1G3bt1a/Z7r1q3TRx99pFmzZoWcv++++1RbWxtybo899mCP7RgRv+xtpb91pqp3PkHlU66JdHUAAAAAoPN6sN944w098MAD+uMf/6g333xTvXv3ts7fdNNNVs/11Vdf3er3rK6utt7P9IY3VlhYqFtuuUXl5eVtqSqind9nrRzuCPjlT8iIdG0AAAAAoHN7sJ9//nn99a9/DfY0O511OX306NFWb/O0adOsHuf4+PgWvd/y5ct18cUX6+eff9bOO+8c8tzChQsVFxdnrVrudre5wx2RHPrtq5E/va8C8XWryjuqi+QsX2s9jl/9udyFC6xwXTXmLNoJAAAAQJfVpsS6fv16jRo1qsnnzNDw9PR0FRQUqEePHtt9r9WrV2vGjBlWKB8+fLh++umnkOcXLVqk/v37E667oOSvb1XK17dYj4tnPiNPn92txwmLX1faR38JKVs55hwF6MEGAAAAYLch4mYRs08++aTJ5xYvXqzS0lJlZ2e36L3MnO0nnnhCt99+u9LS0rZ6viFgf/jhh9bcbjMkfcv52Ig+ztKVSp57t/XYn5QrueKCzwXcSfIldwveantNVtXIUyNYWwAAAACIUA+2WdDMDBE386ZN73MgELD2xTah28y/3nfffZWQkNCi9zJBfFth3AwRN73a5v3M6uXPPfec7rzzTj322GPKzc1tS/Xldrfpe4WwcrmcIfexJuXL6+Tw1cjTezeVH/6s5HAE/7H5hh+t0uFHh5S30+D/WG97NI+2ty/a3r5oe3ui3e2LtocjYNJxG9xwww166KGHgscOh8MK2mYO9YMPPqisrKxWv+fNN9+szz//XC+++GLw3MMPP6yBAwdqypQp1nFVVZUV8M18b1OH1jJ1NHVFB/rtC+mh/c2/CunsT6TuI7jcAAAAAGJemzsOL730Uivomm21NmzYYA31NvOyp06dGtY9sE855ZSQY/M5BxxwgF577bU2vZ/fH1BpaaWi4dut9PQklZZWyefzK2YE/Ep741LrH1bN8GNVmTBQKqqIdK2iSsy2PbaLtrcv2t6+aHt7ot3ti7aPTeZv95aOPm3XyNzBgwerV69e8vs3h4SKirowlZqaGlxdvK3M1lymB/uQQw5R3759g+fNHOyUlJQ2v6/XGz2hxgSsaKpPe5lVw50lK+SPS1XZrpcoEEM/W7jFWtuj5Wh7+6Lt7Yu2tyfa3b5oe/tytzX4/v3vf9dbb70lj8fTZJl33nlH/fr1a1flTEg3W4KZvbD/7//+zzpXUlJi7cN9+OGHt+u90TF8mQNVePyncm/8WYHkPC4zAAAAANtoU8C+6667rAXNTj75ZGtbrqZ6qlu6ivj2XHfddTr//PO1bt069enTR++995569+6tM888Myzvj/Az222Zxc0AAAAAwE7aFLDnzJljrRa+3377hbUykydPtkL0lufefvtta6636cn+29/+Zi141t7h5wgvR02J4tZ8qdr++1orhgMAAACA3bQpYJtwu2UQDgcTpptituc68sgjw/55CJ+k7+9Xyje3q3rHo1Q27VYuLQAAAADbaVM38KRJk6xeZcBwVG5U8vcPWI9rBoR3VAMAAAAAxHQPtulpvuSSS7Ry5Upray6zddaWpk+fbi1Shi7O75OzbJW1/ZY/uZsUX7d6u6O23ArWRvL398nhrZSn2yjVDjggwhUGAAAAgC4UsK+66ioVFRXp9ddft25NGT9+PAG7qwsElP7mGUpY/o51WDL9P6odWBeg45e9o/T3fh9SvGLiZcy/BgAAAGBbbQrY//3vf+Xz+bZZJlyriCNy4lf8zwrXATkUiE+VnI3+uTjj5I9PCx7WDDxQnj57RKaiAAAAANBVA/b2wvPChQuVkZEhl8vV1noh0nwepXx+tfWwavSZqtjtbyFP1ww52LoBAAAAAFq5yJlZxdvMuW7smWeeUWlp6VZlzzvvPK1du7alb40olDjvCbmLFsufmK3KXS6MdHUAAAAAIHYCdklJifx+f8i5Bx980JqLjdjiqC5Wylf/sh5XTLhEgYT0SFcJAAAAAGJziDhim7Nyg/wp+datetixka4OAAAAAHQJBGxsxZc9VEWz3pazYkPowmYAAAAAgPYPEYfNON3yp/WMdC0AAAAAoMsgYCPIVfCLkub+W/JUcVUAAAAAoJUY/4uglC9usva9dpUsV/nUG7gyAAAAANBRAfvSSy9VYmJi8HjDhg1bnWs4j67Fve5bK1wHHE5r32sAAAAAQAcF7O7du2v16tUh53JycpoM0+a8203neJfh8yj1839aD6t3PEq+rEGRrhEAAAAAdDktTsGPP/54x9YEERG35ktlvnSE9TjgjFflLhfREgAAAADQBixyZmeBgFLqe66NyrHnyJ/eO6JVAgAAAICuinHcduavlafHeLmKl6ro6LfkT+8T6RoBAAAAQJdFwLYzV4IqdvubKib8SXKHLlQHAAAAAGgdhoiDcA0AAAAAYUDAtqmkb++Se81Xka4GAAAAANg7YNfU1Gx1buHChfJ6veGoEzqYq3CRUr+43lo93Fn6G9cbAAAAADo7YK9Zs0YnnHCC7r///q2e++Mf/6hp06bpyy+/DEe90IGSv/u3dV87cH/50/tyrQEAAACgMwN2RUWFTj75ZC1atEjdu3ff6nkTvDMyMnTmmWdq3rx54agbOoCjcqMSFr5kPa4ccy7XGAAAAAA6O2A/99xzcjgcevXVV3XUUUdt9fysWbOsMhMmTNAdd9wRrvohzJLmPyOH3yNP/lh5u4/l+gIAAABAZwfsTz75ROeff766devWbJmEhARdeeWV+uyzz+T3+8NVR4SL36vEeY9bD6tGnMh1BQAAAIBIBOwNGzZo6NCh2y3Xu3dvpaena+PGje2tG8Isfvn7cpWvkT8xSzWDZnB9AQAAACCM3C0tmJaWpuLi4u2WCwQCqqqqUmpqanvrhrDzy5vRX7UDp7P3NQAAAABEKmAPHz5cb7/9tjXHels+/PBDK1ynpKSEo34IIxOsawfsL3m33mYNAAAAANBJQ8SPPPJIPf/883rjjTeaLbNkyRJrDvYRRxzRzmqhwzicUlwSFxgAAAAAItWDbeZfn3vuudZ+188884z22msv9enTR06n05qf/dVXX+m9997TsGHDdPbZZ9NQ0SQQUPyK91XbezfJTbgGAAAAgIgGbMMEZ7MHttmG68Ybbwx5LjMzU6eddprOOeccJSYmhrueaAdXwS/KeONk+ZNyVHDSV5IrgesJAAAAAJEM2Mahhx6qQw45RPPnz9eaNWvk8/ms0G3maLvdrX47dILERa9Y954euxKuAQAAAKCDtDgRv/nmm9pjjz2sBcwcDod23nln64boF7/sXeuerbkAAAAAIAoWObvllltUUFAQcu6xxx5r0dZdiBxnyXK5ixYq4HSrtu9eNAUAAAAARDpgN+Xxxx9XSUlJ+GqDsEtY/p517+kxXoHETK4wAAAAAERjwEb0i1v7tXVf23dKpKsCAAAAADGNgB3j3OvnWvfe7uMiXRUAAAAAiGks+x3LAgGVHPSo4tbNlSdvZKRrAwAAAAAxjYAdyxwO+XKHWTcAAAAAQBQF7AsvvFDx8fHB43Xr1m11rsEdd9xh7Y8NAAAAAIAdtDhg9+/fX2vXrpXX6w2e69evn3Xc+FyDQCAQvlqiTZK/uVP+xEzVDDpIgaRsriIAAAAAREPAfuCBB9TRTFBfv369evXqtdVz1dXV1j7cplfc5XJ1eF26PJ9Hyd/cJoevRp5ek+UjYAMAAACAfVYRv/POO3XBBRdsdf7GG2/U+PHjdeSRR2rKlCn66KOPIlK/rsRd8IsVrv0JGfJlDoh0dQAAAAAg5kVFwDbDye+55x7de++9Wz33zDPP6NVXX9Ubb7yhOXPm6JxzzrHmfZuebjTPvf47696bP1pyREUzAwAAAEBMi3jyKikp0THHHKNHH33U6qXe0pNPPqlZs2apT58+1vFxxx2nHj166OWXX45AbbuOuPr9rz35YyNdFQAAAACwhYgH7NLSUg0fPlyzZ8/WqFGjQp6rrKzU4sWLtfPOO4ecN+W///77Tq5p1+JeR8AGAAAAAFvtg216pq+44oomnyssLJTf71dubm7I+aysLC1btqzNn+l2R/x7BblczpD7cHJUFcpdUn99eo2Nip8XndP2iG60vX3R9vZF29sT7W5ftD0iHrC3paamxrp3u0OraY49Hk+b3tPpdCgrK0XRIj09KfxvWlzXe62cIcrs0Tv874/obXt0CbS9fdH29kXb2xPtbl+0vX1FdcBOTk4ObtG1ZfBOTU1t03v6/QGVllYqGr7dMr94paVV8vn84X3zzLHS2b/KWb5W/qKK8L43orvtEdVoe/ui7e2Ltrcn2t2+aPvYZP52b+no06gO2N26dVN8fLzWrVsXcn7t2rVN7pXdUl5v9IQaE7A6pD6uVCljiBRFPys6qe0R9Wh7+6Lt7Yu2tyfa3b5oe/uK6kmgLpfLWln8iy++COm9njt3riZOnBjRugEAAAAA0GV6sI2zzjpLp556qvr27asxY8bogQceUE5OjmbMmBHpqkUlV9ESpX7wZ3l6TVLlhEsiXR0AAAAAsI2o6sE2wbl379BFuUwP9j333KPPP/9c//znP5WXl6eHH37YGjqOrbnXfaP4tV8qbs0cLg8AAAAA2LUH+5RTTrFuW9pzzz2tG7Yvbv131r03fwyXCwAAAADs2oON9otbV7dFlyd/LJcTAAAAADoRATuW1FbIVfir9dDbnYANAAAAAJ2JgB1D4jb+IEfAL19qT/lTuke6OgAAAABgKwTsGOKun3/N8HAAAAAA6HwE7Bji8PvlT8phgTMAAAAAsPsq4mifyl0uUOW48yW/h0sJAAAAAJ2MHuxY43BILvYIBwAAAIDORsCOFb7aSNcAAAAAAGyNgB0jUuZcq+xHxilx/lORrgoAAAAA2BIBO0bErZsrV8V6BVyJka4KAAAAANgSATsW+Grk3viz9dDTfWykawMAAAAAtkTAjgHuTfPl8NfKn5gtf3q/SFcHAAAAAGyJgB0jw8MNT/6YulXEAQAAAACdjoAdA9zr6wK2l+HhAAAAABAxBOwYELf+O+vek8/8awAAAACIFAJ2V+f3qmbAfla49nYbFenaAAAAAIBtuSNdAbST062K3f/OZQQAAACACKMHGwAAAACAMCBgd3GuTfMlT2WkqwEAAAAAtkfA7sr8PmW+eJhyH9hJruKlka4NAAAAANgaAbsLcxUtktNToYA7Ub70fpGuDgAAAADYGgG7C4tr2P/arB7udEW6OgAAAABgawTsLsy9rj5gs/81AAAAAEQcAbsLi1v/nXXv6T420lUBAAAAANsjYHdRjppSuQoXWo89+WMiXR0AAAAAsD0Cdhfl3vCDHArIl95XgeS8SFcHAAAAAGzPbfsr0EX5sgapbI9/mL7sSFcFAAAAAGA6QrkKXZM/taeqR54a6WoAAAAAAOoxRBwAAAAAgDAgYHdBzor1Spz/jFxFiyNdFQAAAABAPQJ2FxS36jOlfXCJ0t7/Y6SrAgAAAACoR8DuguLWz7Xu2f8aAAAAAKIHAbsLcq//zrr35o+NdFUAAAAAAPUI2F2Nt0ruTfOshx4CNgAAAABEDQJ2F+PeOE8Ov1f+pDz503pFujoAAAAAgHoE7K48/9rhiHR1AAAAAAD1CNhdjHtdfcDOHxPpqgAAAAAAGnE3PkD0K59yrWp2PErerEGRrgoAAAAAoBECdhcTSMpWbf9pka4GAAAAAGALDBEHAAAAACAM6MHuQhLnPy1n6UrVDJ4hX+6wSFcHAAAAANAIAbsLSVjwvOLXfClfRj8CNgAAAABEmagP2IFAQEcffbRqa2tDzp922mmaOXOmbMPvVdyGH6yH3vyxka4NAAAAAKCrBexVq1bpxx9/1COPPKLMzMzg+fz8fNmJu+BXObzV8seny8cK4gAAAOhESzZV6J0FG03vV5PPj+yVod0GZNMmsL2oD9gLFy5UamqqJk2aJDtzr//Ouvfmj5YcrE0HAACAjlNS5VGVx6fu6Yl1f4P6A3roi9+aLX/sOD8BG+gKPdiLFi3SoEHs+Ry3fq51PTz5YyLdJAAAAOhAPn9A5TVeZSTFBc+98MMa63xT8lITNHVIbvD4lZ/Wqsbrb7JsVnK89t0hL3j8+rx1qqz1BY+rPX7NWVGk71YWa/+duumq6Tta54fmpei4cb3l9Tf9vmN6ZbThJwViT5cI2G63W1dccYUWL16sXr166dRTT9XOO+8sO3GvqwvYzL8GAACIPbVev75eWawPFm3Sx4sLNL5fpv550E7B52/7cKmqmwnNY3tnhATsuz9ZrqIqT5Nld8pPDQnY93++QmtLa5osu67ReYfDoT/sNbBNPxtgJ11iiHhpaalOOOEEHXrooZo9e7a16Nljjz2mcePGtek93e7ID7F2uZwh99vkqZSzqsB6GOg1Lirqj05qe8QU2t6+aHv7ou07X3GVRz+sLpHHF9rbmxTn1G4Dc4LHXy4vUlmNt8n3iHc5tOfgzYH1m9+KrfdtisshTR26ObB+t6pYRVVeJSeVqrKqVv4tep33aRRuf1xdohVFVfp8aaE+WVKgikY9yT+tLZPT5ZDT4bCOp+2QZ4XwpgzMTQ75+3DKkBxV1Gx+r8Z6ZyWFlN1jUI6KKjf/bObjdu6eZv1MfbKSmnwPNI/feTgCZpnuKA/YeXl5ysrKCp47/fTT5fF49Oijj7b6/cyPa76B63LMcJyiZVIOw+UBAACa+hvv5Ie/1qeLNzU5lLpPdpI++fPeweOD7/xUP60uafJC5qbG65sr9g0eH33vHH21vLDJssnxLs3/xwHB45Me+kofLdzYZFnzJ+iy6w4KHp/zxLd68+d1weNuaQnab+d87b9zd00cmKM4vowHupyo78EeOnToVudGjx6tZ599tk3vZ75FLC2tVDR8u5WenqTS0ir5fE1/G7kVZ3epqKKjq4ZobHvEBNrevmh7+7Jb23t8fi3cUL5V77ExvGea3M66ntOVRVUqqAjdgrWxYd3TFF/fy7q6uEoby7cu6w8E9FtRlQ4d2SN4zuv1WeF6QE6yMhvNXzZyU+JV1OjvqEE5SXI30+eSlugOKTsgO1Eeb9NzjBPczpCyfTMSNKZ3htVL7G2ix7lx2V5p8RrbJ0MjeqRr6tBcjeiZHuyxLi+tarpyiGp2+523i/T0pBaPPo3qgF1eXq7jjz9el156acgq4qtXr1bPnj3b/L5N/ccuUswvXjTVB52Htrcv2t6+aHv7skPb3/3JMj3/wxqVNzM0+f3zJik9sS70PvzFCr304+ae2y29fuYE5aclWI+f/HqVnp67utmyu/TOCK50fd7u/XXJ1EHqndn00ObGbXD5vlt34jRX9pKpg1tc9vd7DrTCdVZWihWmt2z3xsdnTe4f8pzfF5BfUT24FC1kh995dMGAbbbnSk9P1+23364RI0ZYx3PmzNFrr72mG2+8UbYQ8Cvz2enyZQ1W+R5XK5DE/oIAAKDtzOrUJdVNzyc2spPjlRTnsh6b1aWLqproPfabOcKl2mdoXrCn2YzKNuE6I9Gt9MSt/8Rs6JltWMm6T2ZdKG6Ky7m5rOmJbq5sr8ykkEA/JC+12fcEgM4Q9XOw169fr8suu0w//PCDMjMzVVRUpPPOO8+ah93Wb5MKCyM/zHpb32w25ipaouynpijgStCmM36VXKHDndD1tLTtEXtoe/ui7e0r0m1vwvTnywo1sX9WsPf4xR/X6rp3FzX7mpsPGaYp9Qt8vfnLel05e0GzZW87bLh2G1j35f+q4rph38N7pIcEZDuKdLsjcmj72JSdnRIbQ8SN/Px8PfzwwyouLlZBQYF69+6thIS6IUN24K7f/9rbbRThGgCAKJhjbHpqTYB014dIMxe4qTnHhk8BeRvNw9xW2YYVqd31f8S1pqzpL6mtL2tWxv5saYE+WFSgr34rst7jquk76MBh+dbzbofDWlG7OY17ml3bKNsrIylkT2QzLLu5odkAYBdRH7AbmN5rc7ObuPr9rz35YyJdFQAAbGl5YaU+XLRJHywu0Px1ZdY5M8931the1uMfVpfqzP/+0Ozr/3zADjpmVN1CXAs2lOvEJ75rtuypE/vqnN3q5uX+Vlilox75ptmyx47rpYv2qttdZH1ZjQ5+4Ksmy/XLSrJWr24wc0R369YS++3YzboBAGIsYNtVQw82ARsAgM5jhjo/+91qqxd4WWHkdx9prZ3yU7XX4FxNHZJrragNAOgcBOxo5qmUu+AX66G3+9hI1wYA0EV9urRA17+3WBW13iafP3Nyfx1T3xv76/oynfPcj82+14m79tEpE/paj5cXVOqUp5vvjT16TK9gb+y60mod89i3zZadObx7sDe2uNKjwx5qujfW2H/HbrpsnyHW42qPT9Pv+6LZslMG5ejv03cMHk+967Nmy07ol6XrDx4WHHL98JcrrfWczVDwXfpmaurgHO02MEepCS7FN5qLZ7ZW+vCCyU2+pxnCnZebqsqyaut4aF5qs2WNuPptrIw+WUnbLNuw5VXD/skNZc2w7sT6RcoAAJ2LgB3F4jb8IEfAL19Kd/lT274tGQDAPsyqz3OWF6pbaoIV/IzuaYnWEOLmeBotwmSm8Ta3zZJR26is2U6opWVNUN1W2ZqQstt+XxOqG9tm2S0WmNpW2apG75ubmqCTJ/TRwJwU7TYg29oXuTkmgLvj3c0ueJTgdqmhD9zM3U5ppuyWWlPWzJtuaVkAQMfhv8TRzFcrT94I+TIGRLomAIAI2Vheow8XF+ijxZusRaX+sm9dz61x7GPfWotuNTD7gqwrq7HC6v475gUD9qDcZN1z1AjlpSaoqbWdzTZIDQbnpuj5U3Zptj4Z9StRG70zkrZZtvFWTXkp8dssm5qwuWxaYtw2y6Y0Kmu2iNpW2eT40J7cbZXdstf33N35/y8AoHUI2FHM03eKivtOqfuLCQBgG78VVdUvqrVJP6+tW1TL2H2gc6tyjXt+G/TKSFS/rM3zbh0Oh3btm9Wiz05wO9Uvu2VzduNbUdYMlW5xWaejxWVNz21LyxqtKQsAQGsRsLuCxkt/AgC6FDOX96+vzVdxtU9er886bsyE33uOGhk8vuadhXr5p3UhZUb0SNfUITnWHOHG7jxihLWVU2NZyXEakJ1svS8AAOhcBOxo5a1bDEXuxEjXBADQCqtLqvTtyhJr0S7DBN1qj19zlhY0u5dxY8VVHmvu7S59MqxVoKcMzrGGdjdlTO8M2gYAgChCwI5S8cvfU/q7F6hm6KEqm3ZrpKsDAFGlvMarz5cV6qsVxar2br1o1R/2GqTclHjr8Tu/btDHS5oOt8Z5ewxQj/S6LzPNsOz3Fm5stuwZk/oFhxh/tqxQb85fH/L8soJKLdxYYT0e2ztDvTOTrMdn795fh+3SR5UVNfI1mjNtbNnTbPZB/tv+Q5XeaK4zAADoGgjYUSpu3Vw5/B4F3MwVA4At3fS/xZo9f0OzF8ZsO6WUuseLNlbo7V+bD80n7NpHPerWAtPSgsptlj1qdE/1q3+8orDpsk5HXbg2XwI0GNotVROyUlRUVCFvE3OmG9spP22bzwMAgOhFwI5ScevnWvee7mMiXRUAaLPvVpVYvcfNrdW4zw65Gl6fbs2eylvOPW7YsunX9eW6ZO9BGpKXGtzb2Cz+Ze5zU+t6qhvLTNr8v7fdB2Zb85Kb063R6yf0y1Ri3MBmy/bM2DxtZ1zvTF2018CtVuOe3D9bmdv4PAAAELsI2NHIVyv3xp+sh978sZGuDQC0WEFFrTV/uGHbJ7P38hPfrGq2/ICcpGDAXlNarSe/bb7sB4s2BQP2XkNyNXVIbosW8hrVK8O6tcTOPdKtW0vskJ9q3QAAABoQsKOQe9N8OXw18idksgc2EEVWFVdZ+xE3Z9c+mcHAta60Wu8t3BTyvNPpUHJSvCqrajWqR1owyG2qqNVbvzQ/3HlEj7RgQDQLYL0+L3Teb2M75adqXJ9M67EZotxUj3CDIXkpwVWpqz0+Pf/D2mbLDshJ1m4Dsq3HXp9fz3y3JuR58/ovVxTph9WlOnf3/jp5Qt9g7/GsMT2trZ+aMrg+MDf0Dp+4a+8my5lFvvYanBOyNRMAAEC0IWBHIXdwePhYtugCIqCs2qtPlxXog0UFVjhsCKwrCqt0+0dLm33dn/YeFAzYq0uqt1n2gj0GBAP2hrKabZY9fWLfYMAurKzdZtnjxvUO1resxrvNskeM6tEoYPu3WfagYd02B2x/YJtlVxZXBR+nJrh1yd6D1RL9s5N1wZ7ND88GAACIdgTsKBS3/jvr3pvP/GugpUyvqtvlDD5+dxsrQXdPSwxub2T2JH7r17re49Iqrz5dWqivVxbL56+bNJyTHBcMrHmp8TpwWLdm37df1uZFCXOSty5rhjMnxLtVU+vVwNzNZTOS3Nt83yHdNvfypsZvu6zpwW6Q5HZts+zwHpsX04pzO7ZZdmSjIdam97ipn21YfqqmDM5VflrTW0oBAADEOkfA/HVpI2Z7lMLCui1UIsntdiqrmRVlE355Vgkr3lfVyFPl6TkhYnVE57c9Ws78p2v++nJrXq7ZWsnMyT1/jwHWc5W1Pk2587NmX7vP0Dxdd/BOwfcZf8snTQ6Jnjo4R/vskBec99tetL190fb2RdvbE+1uX7R9bMrOTpGrviNne+jBjkI1Ox1t3YCuzMz/XbChXP4tvsNLcLs0sufmRaTmrS1VpWfrfYyNOKdTo+t7mo1f1pdpU3mtvlhepA8Xb9KG8trgc58tLQwGbLNN0vi+db3OTRmcF7r9XUNZt8uhsb0zrbm+DXsdAwAAAC1FwAYQViZQX/zyPCsEm7m6W+qVkaiXTx8fPL7uvcVWEG9KTkq83jp7YvD4lg+W6PvVpcHjpDindhuQo6lDcjS5fn6wkRjn0t1HjWxRfc3Q5paWBQAAALaFgB1lXJvmK+BOkj+jPwucYbtqvX6tKalWv+yk4HZFZsGsitqme4SNvllJ1jZKxqbyGpXVNF+2T2ZicF6zWenaLP61VR18fi0tqND0nfKD83NNvUy47pmeoKR4V0j5bqkJW32G19/0UPmGrZ4ah/PyGp81z9hs0TS+X1azq1MDAAAAnY2AHWVSP/uH4ld9qrKpN6p62LGRrg6ikJlf/PmyQmuItFmQy4TpOX/Y3RrebNzx8VK9/WvzC3z977zJSkus+9W/9/MVemUb2zi9ceYEdatfsOrRr1bqmbmrmy27S59Maysl44I9B1i9yGZV6O257uBhaqm/T9+xxWUBAACAzkbAjiZ+n9zrv7ceerqNjnRt0MFML29FEz3CjYc/N/Qel1Z79NFis23UJmuv4VpfIKRcY8nxLmXUB+imNN4+ODlu22XrO7qDn9NUWdNzPjg3WSVV3mDA3jF/8+rUAAAAgF2wingUrTDoKlig7GemKeBO1qYz5ktOvv+IBVUen+YsK9T/Fm3SH6cOUrf0RKvtH/hgka55e2Gzr7v5kJ01ZXCO9Xj2/PX6vzcXBJ/rnZmovQbnWsOkzVZLZlg2oh8ri9oXbW9ftL090e72RdvHJlYR76Li1s+17j35owjXXVxJlUefLDU9zgVWj3NN/ZcoZhj1kWN7tek9h+SlaOrgXO01JEeDc1OCc64BAAAARAe6SKOIuz5ge/PHRLoqaCGPz2/1UKcn1i3Gta60Wkc+/I01/Lvx+tkNPc7DG21PddjIHpqxU7dm39vZaHz29J266cBhdYuIAQAAAIhOBOwoEreuoQd7bKSrgu0N+V5eZM2H/nRpgQ4alq9L9h5sPWdCdUNv9fZ6nM1K3oEWblhPbzUAAAAQ/QjYUcJRWy5XYd18XHqwI8PnD+inNaX6YPEma+urmw7ZOfjcec/9qFXFVdbjgkpPMEQbP60tCz42i3y9dsZ4a+uorOT4Tv4JAAAAAEQSATtKBJwulU6/X+7ChfKnMBS4M4d4f7uy2Jorbba9Kqz0WOcH5oRuL7WxvFZrSmuCxz0zzJDvHO1tLTK2edi32+lQ9/TETqs/AAAAgOhBwI4W7iTVDpxu3dB2gUBACzaU68c1pWq0k1XIXObMpLr50vd+tlzPfrdGZTWbt8pKTXBpz0E52m+H0LnR18zYMdhrnRrvVr/sJIZtAwAAAAhBwEZMuf69xXrxx7XNPj++b2YwYJv8bcJ1dnJc/ZZXORrXJ1NxTcyLHpKX2qH1BgAAAND1EbCjQSCgpO/ukTd3uDy9JkuuugCIOgUVtZq7qmSry+H1m+HdJTpx1z7qm5VknRvdO93aM9oE5ZR411avaXzu0BHdNalflkb0TLcWHAMAAACA9iBgRwFn6W9KnXOdAs54bTrzF9lV472jjx7TUxP6ZVnnlxZU6K+vN39d+mQm6aTxfazHew/Js1buTozbOlxvqUd6onUDAAAAgHAgYEeBuPXfWffe3GGSK0GxwsxZXrihXF5/3WTo9ES3BuWmBJ//flWJzG7RizdWWit3f7eyODhvOiclLhiw0xLcGts7o8nPGJCTrHF9Nj9nVu8GAAAAgEggYEcB9/r6/a+7d/39r8trvPpsaaG1Ivfny4pU6fEFn9tjYLZuOWx48Pjc53+UZ4uVyBr2jt57aG7w3I75abpv1qhO+gkAAAAAoG0I2FEgbl1dwPbmR2fA3lBWE7Lv85b61M9/rvX6NeP+L1VRuzlUmwXETA+00S0ttHfezJv2+gJWmT0G5WjqkFz1zqx7LwAAAADoagjYkeatlnvTvKjqwTZDus1+zg2uemuBvvqtuMmyptyci/awHse7nRrTO0OriqvqV+XO1U75qc1uZ/XMSbt00E8AAAAAAJ2PgB1hro3z5PB75E/KlT+tbqGuzubx+VVa7dUXy4v0waJN+nldmV47Y3xwuyqzYFhTK3IbjYO4ce2MnZTUggXGAAAAACDWELAj3QDr6hY48+SPkZrp6e0IG8trrDD9weKCkMXFGny3qkTj6xcZ+9ehO7f4fQnXAAAAAOyKgB1hNaNOVnWPiXIEmp/jHC7+QEDO+hD/7oKNuvXDpSHPD85N0dQhOdbwbrPYGAAAAACg5QjYkeZ0y2e25+oAgUBACzaUW73UHy7apOPG9dbMEd2t50yIfn/hJmue9J6DcpSflsAWVwAAAADQDgTsGOPzB/TDmhJ9uKjA2iprbWlN8LmPlhQEA3bPjEQ9eMzoCNYUAAAAAGILATuSln6k5K8fV3XfaaodPKPdb1ft8emwB7/Wpora4LlEt1OTBmRbQ793H5DT7s8AAAAAADSNgB1JS/6nhF+ek9/hbnXArqj16vNlRVpeWKkzJvULrvbdJzNRtT6/9hiYbQ0Dn9g/yzoPAAAAAOhYXSJg19bW6n//+5/Wr1+v4cOHa9y4cYoJq7+17rz5Ldv/urjSo4+XFlirf3+1oki1PrNomXTkqB7KSo63ylx90E7KSY6Tu36LLQAAAABA54j6gF1cXKzjjz9eiYmJ2nHHHXXPPfdo5syZuvzyy9Wl+b3S6rnWQ892AvYnSwr05LerrK2z/I220zK91WaRssbnzGJlAAAAAIDOF/UB2wTqlJQUPfnkk3K73VbYPuKII3TQQQdp9Oiuu0iXq2CB5KlQID5NvuwhIc8tL6hUZlKcMpPjrOOCilp9u7LEejw0z2yllau9huRqUE6yHJ24dzYAAAAAoAsH7DfffFNnnXWWFa4N04ttgvXs2bO7dsBeV9d77c0frYAc+mVdmbXqtxn+vbywSn+cOkjHjO1llZkyOEeVHp913ysjKcI1BwAAAAB0uYBdWFioDRs2aNCgQSHnBwwYoIULF6orc62tC9ifVPXXXx74SuvLNm+n5XY6tKl880rgZn71seN6R6SeAAAAAIAYCNilpaXWfWpqash5c9zwXFu43ZFfACxQXSx/wKEn1uRrvb9GSXFO7TYwR3sPzdXug3KUlhDVTYN2cNUvQNdwD/ug7e2Ltrcv2t6eaHf7ou0R1SkuEKhbvWvLecbtmXfsdDqUlZWiiDvpWf3l6c/UzRmnB0b00x5DctlOy2bS0xnub1e0vX3R9vZF29sT7W5ftL19RXXAzsjIsO4rKipCzpvjtLS0Nr2n3x9QaWmlouHbreuO2U2lpVXy+fyqKq9WVaQrhU5re/Mf3Ya2h33Q9vZF29sXbW9PtLt90faxyfzt3tLRp1EdsLOzs5WVlaUVK1ZowoQJwfPLli3TDjvs0Ob39XqjJ9SYgBVN9UHnoe3ti7a3L9revmh7e6Ld7Yu2t6+onwS677776rXXXpPP57OOly9fru+++0777bdfpKsGAAAAAEDX6ME2zj//fB199NE68cQTNXLkSCtsH3zwwRo/fnykqwYAAAAAQNcJ2Pn5+Xr11Vf1+uuvq6ioSNdcc42mTJkS6WoBAAAAANC1AnbDYmfHHXdcpKsBAAAAAEDXnYMNAAAAAEBXQMAGAAAAACAMCNgAAAAAAIQBARsAAAAAgDAgYAMAAAAAEAYEbAAAAAAAwoCADQAAAABAGBCwAQAAAAAIAwI2AAAAAABh4AgEAgHZiPlx/f7o+JFdLqd8Pn+kq4EIoO3ti7a3L9revmh7e6Ld7Yu2jz1Op0MOh6NFZW0XsAEAAAAA6AgMEQcAAAAAIAwI2AAAAAAAhAEBGwAAAACAMCBgAwAAAAAQBgRsAAAAAADCgIANAAAAAEAYELABAAAAAAgDAjYAAAAAAGFAwAYAAAAAIAwI2AAAAAAAhAEBGwAAAACAMCBgAwAAAAAQBgRsAAAAAADCgIANAAAAAEAYELABAAAAAAgDAjYAAAAAAGFAwAYAAAAAIAzcsplAICC/P6Bo4HQ6oqYu6Fy0vX3R9vZF29sXbW9PtLt90fax2aYOh6NFZW0XsE2gLSysiHQ15HY7lZWVotLSSnm9/khXB52Itrcv2t6+aHv7ou3tiXa3L9o+NmVnp8jlalnAZog4AAAAAABhQMAGAAAAACAMCNgAAAAAAIQBARsAAAAAgDAgYAMAAAAAEAa2W0UcAAAAAGKZ3++Xz+eNdDW6BJfLLaczfP3OBGwAAAAAiAGBQEClpYWqqiqPdFW6lKSkVKWnZ7d4r+ttIWADAAAAQAxoCNepqVmKj08IS2CM9S8kamtrVF5eZB1nZOS0+z0J2AAAAADQxfn9vmC4Tk1Nj3R1ugzzRYRhQnZaWla7h4uzyBkAAAAAdHE+ny8kMKLlGq5ZOOatE7ABAAAAIEYwLDyy14yADQAAAABAGBCwAQAAAAAx469//ZMefPC+iHw2ARsAAAAAEDOKigpVXh6ZrcqiZhXx0tJSFRYWqmfPnoqPjw95buHChcFJ+w3y8/OVnZ3dybUEWud/izZpeUGljh7TU6kJUfPrBgAAAKADRPwv/oKCAl166aX69ttvlZubq40bN+qMM87QeeedZz1fXV2tQw45RAMGDFBcXFzwdaeddppmzpwZwZoD2/bGvPX6+1sLrMdLCyp05KieGt07g8sGAAAAbENZWZkef/whzZ8/Txs2rFdKSoomTtxNp512ltzuugj79tuz9eqrL6mgYJN69OipY445QePHTwy+R3V1le6++3Z99dUX1iJmBx54sI4++hjFfMD+29/+ptraWn3yySdKTU3Vjz/+qOOPP179+/fXQQcdpMWLF1sbgD/33HPWhQW6ihd/XBt8/PavG7WhvFb3zxoV0ToBAADAfqo8oaOBG3M6HEpwO1tU1qy1nRjnalPZ1vi///urtWXWBRf80cqA33zzpW655Ub16tVLM2Ycqueee0YPPPBvXXTRn7TjjsP0ww9zddllf9Q99/zHOjZef/0VnX762br66us1d+7Xuvnm69WnTx9NmrS7YjZge71eq8f6D3/4gxWujZEjR2rKlCl6//33rYC9aNEi9ejRg3CNLqW4yqN5a0utx7sPzFZJlVcDc5IjXS0AAADY0J53fNbsc7sNyNZthw8PHu93zxxVe/1Nlh3bO0P3NeowmvnAV9bfvU3ZKT9Vjx0/tk31/ctf/qb09HQlJCRax71799FLLz2v1atXW52vTzzxiI477kRNnz7Den7AgIHac8+pSkxMCr7HuHG76qSTTrMe9+3bTy+++Jx++OH72A7Ypnvf9Ew3NR+7YX61mX89cOBA1dTUaO3aterevbsSE+suNBCtZs9fL19AGpqXolsP2/wfLMMfCKiksun/ELXEkk0V1v2gXEZ0AAAAIPbk5XXTihXL9f33c7Vq1UotXbpEK1f+Jr/fbw0JN7cRI0JHhmZn54Qcm1DdWHp6hqqqKmN/iPiW5s+fry+//FK33367dWx6sJcsWaL999/fCuTr1q3Tcccdpz//+c9yudo25MDdaAhEpLhczpB7xJYjRvfUsB5pSnS7Qv69vbdgo659Z6EmDcrR9QfXDV9pjZ/WlOrEx+dajx86brTG9M4Ma73Rsfi9ty/a3r5oe3ui3e0rkm3v95tB2U37+Pe7bXOIeGPvnDup2bJbfsKrZ4xvcdnWuOuu26we51122VVDhuygQw89XOvXrwsp0zAXuzku19bPm97vbb/G0e6sGFUB26wiftFFF2n69OlWoDZMiDZDxi+//HJrdXEzR/ukk05STk6OzjzzzFZ/htPpUFZW9PT8padvHsaA2JFlhrJ033pBs4E9alVU6dGnizYpJTVRLmfr/tPzw9w1wccv/LRee4/oFZb6onPxe29ftL190fb2RLvbVyTavrrapU2bnE2GxLRWhMaOKttSpnf6mWee0FVXXaP9959unTM91zfeeK3MdwH5+d2UlJSklStXaOzYpoegm0XNnM7QjtW6c00HaPPlhNPpVEZGcrtHS0dNwC4uLrZWBu/Xr59uuOGG4Pn77gvdINzM0T700EP1+uuvtylg+/0BlZZ2/NCA7THfaplfvNLSKvl8Tc9xQOzpm+qW2+lQabVXS9YUKy8ldEu67XEHNv9b+eG3IhUV1Q0XR9fA77190fb2RdvbE+1uX5Fs+9raGiuI+nwBeZuZQ90V+HwBK+yakcvm56iqqtI999xh7W1dXV1jPX/44Ufr8ccf0ejR49SrV29rpfG//OUSa5Xw/fc/0Oqp9vsVch3qzjV9bcx7mmtXUlKpqqqtF24zbdrSUQlREbDNVl2nnHKKBg0apBtvvDG4HZdZXdwMDzehOzl58wJRWVlZ7do4PJr+wZlfvGiqD9rvrk+WqbzGq+N36a3emVt/e9ktLUFrSqq1uqhKWa3cG9ts9bX7gGwd/MBXWltao5paX6t7wRF5/N7bF21vX7S9PdHu9hWJtjchMRZkZ+fowgsv1r333q0nnnjUCrZ77DFV++yzvxYvXmiVOfXUM1RaWqITTpil5OQkeb0+HXroEVaZ9gjHlxMRD9jr16+3hnxPnDhRV155pfVtRWO/+93vdMkll+iEE04Invv88881evToCNQW2L7PlxVq0cYKTeiX1WTA7pFeF7DXllZrePe0Vl/SvNQEqxfc6w9oQ3mNeqSz6B8AAABixxFHzNJhhx2l8vIya3Eyo7KyUpWVdaM3zeril156hS666M+qqKhQZmamNQS8wbXX3hzstG1w9dU3bHfedjhENGB7PB6dfvrpSkhI0KxZs7RgwYLgc6bH2vRcm+fvuOMO69jsW/bCCy9Ye2Nff/31kaw60CSzF+DS+lW+d24mPHe3AnGJ1pXWtOoqFlXWKiXerXi3U8N7pMms0VDjYfQDAAAAYo/TaYbbb17TyOTBxqOaDbNGl7ltyYx4bsm5mAvYv/zyS7DH+rLLLgt5bvjw4brmmmt0/vnnW0F79uzZ1iJoQ4YM0fPPP6/+/ftHqNZA835cU2ptz9UtNd4aCt6U3pl1Pc4rClu3FsC17y7SJ0sKdPl+Q/XA7xjBAQAAAESbiAZss2DZK6+8ss0ypqt/5syZ1g2IdnOWFVn34/s1/w3Z8B7p2mNIrnbMT23Ve68oqrLCe15q6xZGAwAAANA5Ij4HG+jqHv1qpRZuKNfG8hp9t7rUOrfHoNCN7hvbfVCODt6lr7UCeGsWUSioqLXuG/eMm9UQG883AQAAABA5BGygnT5bWhAM1kZ+WoL2HJgd1uta6/VbW3sZOcnx+vq3Iv3jrYXqlZmoe48eFdbPAgAAANA2BGygHUwP8tKCurnU9x49UsVVHg3rniZ3C/bJM4uW1Xr8ymnBXtiFlXW912b18PREt+JdTq0rq2GLLgAAAGz19ykid81atls2gCYVVHpUUu2V2YrazK2eNjSvRdtmXf/mr9r7zs/14Be/tfhzjOzkOGtIeEMobxg2DgAAAHtzuVzWfW1t63aqgYLXzOVqf/8zPdhAO6wqqrLuTahOcLf8+6rxA7J070fS89+vUUWtVxftNUiZSaF79TXWEKQbgnV2ct19tdevylqfkuPr/oMKAAAAe3I6XUpKSlV5ed2iu/HxCazV04KeaxOuzTUz165hh6v2IGAD7VBQP3Q7twXDvBubMrSbclPjtam8VrPnb9CGshr9extzqc37H7RzfvBzTKBOinOqyuO3wndyfBLtCAAAYHPp6XXrADWEbLSMCdcN1669CNhAOxTWD93OSm6+97kpLqdDk/pn6bWf11vHY3tn6rGvVsrrD+jUiX23Km/mdf/9gB1Czpne7FXF1VbA7pNFwAYAALA7M5UwIyNHaWlZ8vnqFsjFtplh4eHouW5AwAbaoarWJ5dj85Dt1jhydE8rYJuFy4Z2S9Elr8xXRqJbp0zo06LhPOYzTcBuWAANAAAAMExgdDpb//cp2o+ADbTDieP76Phde8vja/3KgyN7ZeiRY0er1hfQzmblcafDWjBtTWm1emUkhcwNWVZYqb6ZSSGrkw/NS7HuE+OYfw0AAABEAwI20E5Oh0MJ7u33ODdl5x7pwcdD8lL0y/pyzVtbFhKwN5TXatYj31qLqH14/uRgyL50nyG0HQAAABBF2KYLiBJmnrUxf115yPmlBRXWfY/0hBbtrw0AAAAgMvhrHWiHv83+VX95bb5WFddt19UeZpi4MX9dacj5ZQWV1v3AnLoh4QAAAACiEwEbaIdPlxbovYWbrNW/w9WD/euGcvkavd/STXUBe0BOckj5jxYX6KD7vtDFL89r92cDAAAAaD8CNtBGNV6/ymt81uPsVm7T1ZT+2cnBva3nLC8Mnl8a7MEODdhmtLiZn2320AYAAAAQeQRsoI2K6rfHMqt/pyW0f71Aszf2EyeMs7bquuileVpXWm31jC/aWDcne3D9quENMpPqQn1xVd1e3AAAAAAii4ANtFFhpSfYe92SfatbwryX2arL+Pq3Yi0vqFS116+UeJf6ZYX2YBOwAQAAgOhCwAbaaGN53dDs3NSEsF3D1AS3jh7d03r8w5pSpSe6de7u/TVrbC+rh7upgG0CeLWnbqg6AAAAgMghYANttLa0Jrh9VjiN75dl3b/28zpV1vp0yoS+Ome3/luVM73aZni6wTBxAAAAIPII2EAbVdR6rV7l/LTwBuw9B2Vr8oAsmYXEn/t+TbPlzLD0rPrF1QjYAAAAQOQRsIE2Om1iP3124e5N9i63hwnOx47tbT1+9vs129wCbFh+mkb1TJdD4ZkDDgAAAKDt2r/0MWBjpgfb5XSF/X137ZepoXkp1hZdKworNSg3dAXxBjcfunPYPxsAAABA2xCwgSjkdDh036xRKq/xqnt6YoteY8qaRdIAAAAARAZDxIE2WFVcpROfmKtr313YYdfPhOWWhOtf1pdp+r1f6LSnv++wugAAAADYPrq7gDZYsqlCv6wvtxYii7R4l1ObKmrl8fkjXRUAAADA1ujBBtrAzI02BuYkR/z6ZdevJF5S7d3mgmgAAAAAOhYBG2hHwB4QBQE7PTEuuIY423UBAAAAkUPABtpg6aYK635gTtOre3f2SuaZSfX7YVd6Il0dAAAAwLYI2EAr+fwBrSiqipoh4kZm/TDxoqraSFcFAAAAsC0WOQNaaU1JtWq8fiW4neqZ0bIttDpaTnKcKmriVeVhoTMAAAAgUujBBlqptNqjvllJVu+1GZ4dDQ4e3l2FlR5rL2wAAAAAkUEPNtBKO/dI1wun7moNFY8WBw7Lt0J/S/bNBgAAANAxCNhAG0VL73WD4T3S9cQ3q/TWLxtU4/Xp7N36a9rQvEhXCwAAALANhogDreQPRE/P9ZYyk9xasKFcywurdPXbC6Oqlx0AAACIdQRsoBWqPD7tfdfnOvOZ763H0WbGzt1115EjrMcVtT4tL6zbrxsAAABAxyNgA62wYH25FVxXlVQrKc4VldduQr8sjemVbj2ev64s0tUBAAAAbIOADbTCiqK6HuFBuSlRfd2Gdku17pdsogcbAAAA6CwEbKAVVhZXW/d9MpOi+rqZLcSMZYUVka4KAAAAYBsEbKAVVhdXWfe9M6N7O6wd8tM0oV+mRvXMiHRVAAAAANtgmy6gDT3YvTKiuwd75+5puuvIkZGuBgAAAGAr9GADLRQIBPRb/RzsftnRHbABAAAAdD56sIEWqvT4NLpXhlYVV6lXRnQPEW/4QsCseG6kJvCrDgAAAHQ0/uoGWigl3q07jqjbY7oruOH9xXrhh7U6c3I/nTGpX6SrAwAAAMQ8hogDMSozKc66L6yojXRVAAAAAFsgYAMtVOv1d6lrlZMSb90XVHoiXRUAAADAFgjYQAtd8so87XvPHH20eFOXuGY5yXU92AX0YAMAAACdgjnYwBZ8/oAWb6xQ9/QELd5UoWqvXyN6pGnuqhLVeP3KTU3oUj3YhZUMEQcAAAA6AwEb2MLG8hod/8Rc67HTIXVPS9CY3hlWuB6cm6Jh+ald4pplJ9cH7AqGiAMAAACdgYANbGFdaY11n50cZ4XqNaU1WjN/g3XuqNE95HA4usQ1y0hyB7cX8/j8inMxIwQAAADoSARsYAtry6qt+/7ZyTp2XG+9/esGBQJSt7R4zdi5e5e5Xmbv672H5Co90S2PL6A4V6RrBAAAAMQ2AjawhU3ldXOWu6UlaMrgHOvWFTkdDt0wc1ikqwEAAADYBmNGgS1sql91O7d+kTAAAAAAaAkCNrCFjeWxE7ADgYDKa7yq9vgiXRUAAAAg5hGwgRjuwb745Xmaetfn1jxyAAAAAB2LOdjAFg7cqZuG5qVocF5Kl782ZoEzo6TKG+mqAAAAADGPgA1s4dCRPWLmmqQnxln3JdXshQ0AAADYaoi4mS/anucBNL0XNj3YAAAAgA0CdlVVla699lrttttuGjFihA488EDNnj07pMyTTz6pPffcUzvvvLOOOOII/fTTTxGrL2JblcenhRvKVVRZNw+7q8ugBxsAAACwT8A24frzzz/XY489pu+++05nn322LrnkEs2ZM8d6/q233tKtt96qm2++WV9//bUmTJig008/XSUlJZGuOmLQL+vLdNzjc3Xa098rFmQkNQwRZw42AAAAENMB2+v16p133tG5556rQYMGKS4uTjNnztTkyZP1yiuvWGUeeughHXXUURo/frxSUlKs8G3uX3755UhWHTFqUwxt0RW6yBlzsAEAAICYDthut1tffvmlNSx8y/NlZWWqqanRvHnzNHbs2OBzTqdTo0aN0rfffhuBGiPWFdevtp2VHBsBu0d6ovYekqvdB2ZHuioAAABAzIu6VcRXr16tzz77TFdccYUKCgqsXu68vLyQMrm5ufrhhx/a/Blud8RHxsvlcobcIzpUeX3WfVqiu8P+nXRm2w/MS9G/Dh/e4Z+DluH33r5oe/ui7e2Jdrcv2h5RFbBra2t18cUXa/jw4dZiZitWrLDOx8eH9iaaoeSmd7stnE6HsrKiZ3/j9PSkSFcBjficdaE3Oz2xw/+d0Pb2RdvbF21vX7S9PdHu9kXb25c7msL173//e1VWVloLnplh4omJicHntiybnJzcps/x+wMqLa1UNHy7ZX7xSkur5PP5I10d1CsoqbLu3YGAiooqYqLtzfZ25bU+JcU55a7/AgGRwe+9fdH29kXb2xPtbl+0fWwyf7u3dPRpVARs0xt9wQUXWCuDP/7448rIyLDOd+vWzQraGzduDClvjrt3797mz/N6oyfQmoAVTfWxu7L61baT3M4Ob5fOavsZ93+p9WU1euL4sdohP7XDPw/bx++9fdH29kXb2xPtbl+0vX1FvDvL9FifccYZ8vl8euSRR4LhumEo+MiRI0MWNDPlzHZeu+yyS4RqjFhmFgM7dlwv7dwjTbEiJd5l3RdXs5I4AAAA0JEi2oNthq429Fw/8cQT1grhDXOrHQ6HNff61FNPtbbmMiuHm9XE7777but1hxxySCSrjhi1347drFssCe6FzVZdAAAAQOwGbNMT/dVXX1mPzd7Xje26667WHtj77ruvLr/8ct12220qKiqyFkAzPd2pqQx1BVoio34v7NL64e8AAAAAYjBgmx7pn376abvljj76aOsGdLSVRVWKdzuVkxwnd4xsoRbswWaIOAAAANChYiNBAGFy+jPfW4uCLSuM/Erz4e7BLqmiBxsAAADoSARsoJGKWp91nxIfFQvsh0VGIj3YAAAAQGcgYAP1vD6/auq3zWpYeTsWDMpL0d5DcjUsP3ZWRgcAAACiUex00wFh6r2OtYC924Bs6wYAAACgY9GDDWwRsBPczphZ4AwAAABA5yFFAPUqar0x13vdwOwdX17DImcAAABARyJgA/Uq63uwUxNia+ZEQUWtJt36iabd/bn8gUCkqwMAAADErNhKEkA7ZCfH69hxvZQWYwE7PdEtX32uLqv2BvfFBgAAABBesZUkgHbok5Wki/YaFHPXMM7lVHKcS5Uen0oJ2AAAAECHYYg4YAMZSXXfpZVUeyJdFQAAACBmEbCBesVVHq0vq1GVZ/N2XbEiPbFuWHhJFQudAQAAAB2FgA3Ue2buas24/0vd8dHSmLsmGYn0YAMAAAAdjYANbLEPdkqMLXJmNCxsVlJNDzYAAADQUWIvSQBtVFETu/tgj+yZLp8/oJ7pCZGuCgAAABCzCNhAPbPKtpESH3u/Fr8b28u6AQAAAOg4DBEH6lXU1AXs1ITY68EGAAAA0PEI2EC9itrYHSJuBAIBVcfgCukAAABAtCBgA/XK6xc5S47BgP3ZskJNuvUTnf3sj5GuCgAAABCzYm+yKdBG++6Qp/WlNeqelhhz1zAlziVfQCqrX8gNAAAAQPgRsIF6Z0zqF7PXIj2pfh/sKk+kqwIAAADELIaIAzaQXr+3t+nBNnOxAQAAAIQfARuQ5PX5ta60WlUxughYcv3WY/6AVOP1R7o6AAAAQEwiYAOSVpVU6+AHvtKB930Rk9cjMW7zr3pF/WJuAAAAAMKLgA1IKq2uW/wrPTEuJq+H0+FQclzd6uix2ksPAAAARBqLnAFWwK5b/CsjMXZ/JXYfmC2vPyC30xHpqgAAAAAxKXbTBNCmHuzY/ZW4ZsZOka4CAAAAENMYIg6Y1bXrA3ZaQmwOEQcAAADQ8QjYgKTK+nnJyfGx/Sthtujys00XAAAA0CFiO00ALVRdv3VVortuIbBY9JfX5mvirZ/o9XnrI10VAAAAICYRsAFJO3ZL1czh+RrZMz1mr4fD4bD2wa5kmy4AAACgQ8Tuik5AK0wdkmvdYllyfF3vPAEbAAAA6Bj0YAM20bAPdsN8cwAAAAAR6sF+5513VF5e3qYP2W+//ZSamtqm1wKdtYq401k3B9sVo/tEJ9GDDQAAAERHwL7pppv022+/telDxo0bR8BGVPvr67/oixVFumr6DjpwWL5iUQo92AAAAED0zMF+/PHH1bNnz1Z9wIknntjaOgGdrqp+2HSiO3ZnTdCDDQAAAERJwM7IyFCPHj3Uu3fvVn1Adna2nGbsLdAVtumq7+WNRb0yEjW+b6aG5KZEuioAAACAvQP2888/36YPaOvrgEj0YCfFcMCePCDbugEAAACIsm26iouLlZSUpISEBOt49uzZ+uGHHzRx4kRNnTo1nHUEOlx1wxDxOEZbAAAAAGibNqWJX3/9VdOmTdO6deus45dfflkXXXSRnnjiCZ199tl66qmn2lgdIDKqPHVDxJPcsduDDQAAACAKA/YjjzyiyZMnq3v37tbx008/rd12283qwTarjd9zzz0KBALhrivQIXz+gMprvNbjtMQ2D+qIeisKK7X3XZ9r/3/PiXRVAAAAgJjU5h7sM844wxoeboaK//jjj5o1a5bcbrdmzpwpr9erjRs3hr+2QAfw+PyaOaK79hqco4wYDtgJbqfKarzBLxMAAAAAhFeb0oTP51N8fLz1+OOPP5bD4bB6tINv6nZb54CuwKwcfsV+QxXrGhZwq/UF5PX55XYx3xwAAAAIpzb9hT148GC9/vrrKi8vt+ZdjxkzRmlpadZzy5cvV0VFhbU9F4DokRK/eX55Zf2ibpH045pSzV9XFulqAAAAAJEN2KeccooVrMeNG2cNDz/11FODz/3xj3/U9OnT5XKxWBS6zgriFbXemF83wPRYx7vqRpZU1kY2YM9ZXqjTn/5epz71nb5fVRLRugAAAAARHSI+cuRIPfvss/r00081atQoK2g3OOigg3TMMceErYJAR3tnwUZd/fZC7T4wW7ceNjzmh4nX+rwR78H+cXWpzNcZvoD0+rz1Gt07I6L1AQAAADq1B/vDDz9UYWFh8Hjo0KFWz3XjcG2cdtppSk5ODkvlgM5QVu3dagh1rGr4GSPRg/3D6hK9+ONaa1G5s3brr38euKN1fv766B4mPm9dmbXy+hPfrLJWnH9/4UZ9/VtRpKsFAACArtyD/dhjj2nOnDlWj/WUKVO01157aaeddurY2gGdoNbnDy52FutG9ExXr0yP4jt5gbNNFbU669kfrYC6/455inM5Naa+13rJpgrVev2Kd0fnomtv/7JBhZUeLd5Yrrd+2aC/v7XAOv/fk8dpYE5KpKsHAACArhiwH3roIa1evdrqyf7oo4907733KiMjwwrb5mZWEafnGl2RCXdGZ4fOSPjnQZH5UmzBhnIrXBuu+h0G8lLj5XY65PUHVFhZq+7piYpGq4qrrPt3F2zUG/M3BM+bueMEbAAAADTWqkTRq1cvHXfccbr//vv15Zdf6qqrrpLT6dQ///lPTZgwwRoebnq6f/vtt9a8LRAVPdhx9QuAIfyWbqqw7vcZmhscKWC28stOjrMeF1V5ovayLy2otO5vOzx0fv43K0uaHE5eXBm9PwsAAAA6Vpu77BITEzV16lQrZJte7eeee07jx4/X7NmzdcABBxCy0WWYfaHt0oMdKcsL60LqgJzQ9Rlmjemlc3brr6ykuqAdjSvMrympth4Pzk3R48eP0XHjelvH7y3YaA1vbzB3VbFOfvI7/enVeRGrLwAAALrgKuJN2XHHHa3bWWedpaKiIoaLo8swi27ZJWDf8sESvTF/vU6d0FfH7VIXFDvD+rIa675nRugw8BPH91G0fzFgvn7JTIpTVnK8ddsxP00ZSW4NzEnWoNy6OdiPfPmb3vylbvj496tLVVzlsV4DAAAAe2lTwK6trdWjjz6qzz//3ArTTe0fbOZo9+jRIxx1BDrU0G6pmjY0VwNzk23xZUJptVelNXUrp3eWDeW11n1eaoK6kobh4SZMN3bKhL7Bx+a/f3d/ujzkeTNMnIANAABgP20K2P/+97+tAL3rrruqb9++Tb+xO2yd40CHOnxkD+tmB2mJdb+XFZ0UsM2c5Fd/Wqdl9UHVLGzWWHmNV+tKa6wVxPtmJSnamDniu/bN1E75qc2WqfLUjYBo+PleOX28tUo6AAAA7KdNKdisIv5///d/+t3vfhf+GgHoMGkJdb/yZZ0UsG/7cIk1ZNrldOihY0ard0ZoiH7px7W64+Nlmr5TN/2jfl/saDKxf7Z125bkeJeumr6DPl9WqIunDgqG643lNdYCer22+JkBAAAQu9oUsM3K4cOHh66oC3RVZpsos4C4WdU61qU2BOzqjg/YZustE64Ns0WX6Q3ecq/r7OT4YNmu7MBh+datwQs/rNFN7y/WHoNydOPMYbb4twUAAIA2riK+33776ZlnnpHfv3loJNBV/f6FnzT+lk/0zq+b9ziO9YBthmZ3tP/M2bxd30un7drkPtdZ9dt0FUbh1lb+QMBaRbwtRvRIl1mc/sPFBZq7auvtvAAAABCb2tSDffLJJ+uggw7SgQceqJ133tnasmtLF198sbKztz20ckvvvvuutd2X2We7gQnxJtCbhdUau+CCC3TUUUe1pfpAk6uIu52x38uYllC3B3V5bduCY2s0bGF1xX5D1Duz6WHSOcEe7OgL2KuLq3X4Q19bi5W9e+6kVi+cN7Fflr5YUWQtlDauT2aH1RMAAABdPGA//PDD1j7XJlhXVtYtXrSlc845p1UB+5tvvtGll16q/v37h5xfsWKFVq5cqVdeeUWZmZv/SE1LS2tL1YGtNOyDbYeFqXJS4q0FuzpjQbGCirovxZoL1417sIsra60eY2cUDaUura4L/YlbDGtvqR4ZCcEVxYFIWLCh3Fp4z+wzX1DpUW5K6CKDAAAgSgL222+/be13feGFF8rlqusRayvTM33PPffoP//5j7p167bV84sWLVJGRoa1xzbQEWq99tkHe0heqh47fmynfJbpte2WlqD8tOa35jLzss3AAfMdhwnk0bSNV8NWZg0rr7eWCTWxML8cXdc/316oXzeU6+ZDhumy136x1gMw6wIAAICO06ZE4fF4rCHi7Q3Xhumdfv/9962tv8yQ8y0tXLhQgwYNavfnAM0xKz0bWy7Ahfb5y75DdM9RI7fZg+12OdW9PoCvKq6OqkteWlUXsDPaGrDrh78XV9GDjc5n1g9YtLHcepyeGGct5njPFvu1AwCA8GvTX45jxozRJ598oh122KHdFejXr59effVVa5XdL7/8sskebK/Xq/POO0+LFy9W7969dfrpp2vSpNbNiQS2Nwc73iwljk539Jhe1h//2+rpjoSS+pXWTThpTw92EQEbERoebkaGmGHhA7KTZf7rtnhThbV9XDSNFAEAINa0KWDvu++++sMf/mAF3pEjRyo5OXmrbWj22WcfpaSkbL8C7m1XwQRsn89nLZqWl5en2bNn65RTTtEDDzygPfbYoy3VlzsKeipd9cORG+4ROZ76OdiJCe5O+bcR6bY/4j9faVNFrZ4+eZx6dtAezcFh9y24nidN7Kto1BCMs1Pi2/TvYmTvDP15n8HWfPeG10e67RE5nd32Swrr1kfZqXuqctMTtEN+qn5dX65568u1zzZGlSD8+L23J9rdvmh7tClg/+Mf/1B5ebleeukl69aUd955p0UBuyULqqWnpyspKSm4eviCBQusIeVtCdhOp0NZWe2vV7ikp/OHTqTtMTRPhRW16pOfrqxO/MMzUm1vVhAvNb2z8XEd9rvwxo9rdd5TczVtx2568ORd1RVtqF+cbEiP9DZdJ/OakQNzm3yO33v76qy231hZNwJjSPcM69/izr0yrYC9ptwTVf8PtBN+7+2Jdrcv2t6+2hSwn3jiCWse9rZ0795d4ZCfn7/VObPg2bPPPtum9/P7AyotbXrl887+dsv84pWWVslXP0QZkXHlfkPqHgT8Kiqq21oqlts+Ja5u7YQ1G8vVM6lt84u3Z+m6ur2fXQps95qaOcrrSquVHO9S36xkRYshOUnaY1C2+qbHh+3fRaTbHpHT2W3/3YpC675bstv699snvW5NgO9XFHbKf+ewGb/39kS72xdtH5vM/8NbOgqtxX9dm8XGzBZa8fHxTYbelryutUwv+YwZM/R///d/mjp1avD8smXLrLnbbeWtH74aDcwfWtFUH8R+26fW74VdUlnbYZ+/tqRuwbJuqQnb/YzXflqnWz5Yon13yNO1M3ZStPjdmF7WzWjLdTLzyn9cU6KKGp92G5gdsgUZv/f21Rltb+Zaf7uy7kuuHml1v4M7dku1jj9avEmL15erf070fJllF/ze2xPtbl+0vX21eDKYWWRs7dq1rf6Atr7OSE1NtXqrb7/9dm3cuNE69+abb1q30047rU3vCdhdakLd92pl9dtQdYQNZTXWvdmma3sa9pmuibEvmsxombP++6P++PI8Vdb6Il0d2Mjg3BR9cP5kHbxzvkb2TLfOje2doXF9Mqyt+jZW1P1+AgCA8GvV+NC33npL2dnZre6Fbo/rrrtOV199taZNm2YtiGYWVDPHe+21V7veFzBM8Nn77s+tFcTfOWeSEuuHT8eytGDA7rjQt74+YLdkZfCE+oBtthWKFv5AwFqozdRtywUcW8os8BbncliL6JXXeINfbACdwfx7u/KAzTt9mH/H9x49iosPAEAHa9VffLfcckvH1UTS2Wefba0Q3lhWVpb1uWarrtLSUuu4rX/wAlsyIcrnD6jKH1CcTVZ2Tqvf17m8fhuqDg3YqdufGtLwpUY09WCb+s984CslxTn18e93b/P7pMS7rTnmZmE5AAAAxL4WB+z//ve/1nZZbdHSXm8zJNzcmmJ6r1vbe47oCLBLCiq0U36aolFt/WJDLqfDutlBr4xE7ZSfqqzktu3v3JK5x2YbsFb3YEdRwDbzpo1Et6vd891NwK7owOH4wJbu/mSZlhZU6thxvTSuT+ZWz5svFe3y3zsAAKI2YBNu0Vqriqt06lPfWyH2vXMnyR2FPcQNAdsMEbeLE3btY906So3Xp+nD8rWxrEZZyfGtmIMdPb28FbV1gTilfkG4tkqJr/tPbAU92OhE360q0Q9rSnXQsG4h5z0+v0568jutKKzUW2dPCo5mAQAA4cP/XdFhemYkqtrrU5XHr/9n7zzApKrON/4B23uvLOwusNSl9yYgiB2x99iNNZqYRE2ixvJPLNGoSUyMiUaNxl6wYRcRBKX3zrLL9t77/p/3zJyZu7NTbjl3yu75Pc88LLC7U+69556vvW9RbatfqtbaA2z/C/4DlciQILpPMfupNsBu7fCfCnajtYIdZQ2Q9RIZYgnQMYMtkXiLmhaLjWacQ5cKxmDqWjqovauHNhXW0qJRzn3aJRKJRCKR6EdGFRJT+PJAJd3+zk4WXIPDVf7pu9rR2WMTpJL4BiiNXzEziy6carHE6k8VbHh7+1vyQNL/qWm2BNgJ4X07SObkWEat/r3hmNdfl0QikUgkAwEZVUhMYWdxPa07UmP7O+YB/RFewR4oAmfgeF0LrfzXRlrxzw2m/P7KxjZNgmXJUaF004IcumT6UPIXuChZpMEK9ln5aXTH4hE0IcM/NQgk/Q+0gXMLPscKNvjp3OGEgZg9ZY1U0SjtuiQSiUQiEc3AiSokXoUH1PYWWf+Zr1USHjKEZg6Ls3nFDgQigoewlv3i+jbqtCYYRPL71ftp4VNr6dO95RSocFEyiJQZ4YSRSXTB1EzKTYwU9MokEvdAVA9AViLGyYx1UlQojU2zJHz+ub5AfpwSiUQikQhGBtgSU+At4aNTomxVFX9kZFIk/fW8ifTAqWNooBAbHkxcQJhvxkWCqlh3j/PNvSvP6cKaFjpQ0ci+9hel9UUjE2mcn6rfSySe2sMt17lz8cZLplnGMTYU1MoPUiKRSCQSwajufzzttNPo2DH1M1sfffQRZWWZp1Qs8V+a27uopL7NFmBvLqqztWJLfA823XHhwVTd3EFVzR2soiWSisZ2W+u3Gjq7eujsf//Avv7q5rkUFep77cUlecnsIcJPGy35mIX1R5E/Sf8DivWwvnNnwzfOWsGuamqnnp4eGuQiEJdIJBKJRKId1TvZ8847j2pqLDO17e3t9MILL9DIkSNp6dKllJycTPX19bRt2zb66quvaOXKlRQfH6/j5Uj6A0eqLe3hCRHBNGt4PLV0dNGUobG+flkSBYmRISzArmm2BMOiaO3oovpWS3t1cpRniy4QPGQQq6ij6o2f94cAWxTv7yylZ9cV0NkT0+muZaN8/XIkAwCstd/eOo8phbsCya/fLBvF1gF8lwyvJRKJRCIRh+qd7BVXXGH7+vHHH6dly5bRn//8Zxo8uHeX+apVq+ipp56iqChLa7Ck/4BKB+xf4sODaWdJA324u4xuWZhDDa2dLFjjVZHDlZb28NykSJqXm8Ae/grmhP/4+UGWCPjDGWNpoIBjCHDcRFLZZAnYUUGLVhkoo3qG74fifKsGcTQzQau6q/ZaLXALMiSZJBJvYbmmXJ+/uN7OmpguD4hEIpFIJCagq1T0zTff0O9///s+wTU444wz6MEHH6SysjJKTU0V8RolfsKfvjpEr20pphNGJNI3h6rYv2ELFxo0hP67qYgumTaUbluUy1rEIW6Wm+D/LbEIfKC4C7/ugURCZIitRVQk5VZV4pSoEE1tp2FBQ/wqwL7v430s+XLbohGG7MPCg602XX7yviQSiUQikUgkfhhgh4SEUHm5c4XgyspKamxspMhIqZrbn+js7qH3dpSyr1Oj7bO1O0oaWIsveG9nCa07Uk2/XZ7HZmnRogiV6uaOLhpEgyhapeiVN2mz+mCjojOQQAAMgbcFIxKF/t6KBkvArnWum3/+Wuy9zASvAx22Q7ganMEAW1awJd7iPxsLaXtxPa3IT6OFbq7vgxVNtL+ikelkjEiS92uJRCKRSEShK6pYvHgx3X///aySjbZhzu7du+mGG26gBQsWyBbxfsbu0gZWhUPb760n5NK5kyzthQ2tHWyjBiJDgtj89dGqZlvb72f7K+jEv66nO1ftJn+kYwD6YIPzp2TScxdNomzBXQZIvpw+PpXmZsfrCrAxg+0P8EDfaOIlLNi/3pek/7OzpJ7WHKqi8gb3Htcv/VhI9368j761diNJJBKJRCIRg66S4jXXXENbtmyh6667joKDgykxMZGJnDU3N1NeXh498MADgl6exF/4/mg1+3Pm8DgWdFw/N5ve3FbCvJQB/m1+bgK9ta2ECmosImcg2DpG0AEFKz+Eq5uHWKvwAwVlF4JIJg+NZQ+thFkrvVor2F3dPbT2cBWrwqXFhJEo2qwjA6EGEy/8fbV2+EdlXjJwbLrcqYiDoXHh7M+i2lavvC6JRCKRSAYKulvE//nPf9LatWvZo6KigqKjo2n69Ol00kknsf+X9C++P2pRkJ9jrUzGRQSzNuNyqyUT2o1zrNXQF38oYq21N87PsVWG/dUHu71zYFawAbpPIEqGIFVkcKqHU8el0MxhcZSu8XX8+/tj9Oz6AqZY/7+fTKP4iBD/qmBLkTOJl4EQpboA23KtfXekmrYdr6NRyVEUEWJJCEkkEolEItGPoaHYUaNGsVnsuLg4uuiii+jAgQMUFOR/c7YSY9S3dtCu0gb29exsuyL4+PQYKj9Qyb4elRxJwxMsFRFQa93k8fnsDjeWMb6EW9kMtBls8Nx6S3CKdv9fLx0l7FxBsgKBpRaRs4unDdX1fJ/uK7epoX+xv5LOnZxBIuCiZKHWFm+9ZMWF043zsylRUOAvkXiizrr2xoa5D7DHplpcH5Bku+Z/22hiRgz966LJ8gOWSCQSicQgunePzz77LJ144ol011130RNPPEG1tbXsa/hlV1XJma7+xLbj9cyjODshvFdr8cNnjKUZw+LY12jRRRWbd1qflW+Z0Q6xVoZ5K7a/kRodQhPSoynDxxVcX8BF53gyRAQ3v7mDFj71HauKeQME5lyHjHdZiOxsMJp4SYkOpStnDaMz89MEvTKJxH1XSlO7ZbzBk5889BfghZ2TGMHcICCMVmF1AZBIJBKJRKIfXbvH1atX09NPP80Ezd577z3KzLTY2Dz00EPU1tbGbLok/Yc5OQn0xhXT6b6TR/f6d1Qor5kzjC6fkUWzs+OZcvST5+TTC5dMsXli8wo21MT9Vezr+Yun0AUGrJgCFbRVi/bC5pt7ra2m8FI/Xtdiq76pZeXEdHruQkvVDQGCUnTRCJMzY1nyKD5cVp4lgQNzbrDqXcAq0RPwwn79iulMmPCqWVmauk4kEolEIpE4R1c/9+uvv0533nknXXLJJezvQ4ZYbuQzZ86k5557jpYtW0YdHR1MAE0S+AQNHkTZic7VpqcOjWMPzqzhvdWj+Wwzb8WW+A9x4cG9ZjZFBtiRIdqWlie+PkSrdpXRTfOz6YpZwzT9bF5KFJv5x/sobWjTPMftDFjNiQDz7VDZh896fkaMkN8pkbiiub2TJTU7u3o0JbnucUieSiQSiUQi8XKAXVJSQtOmTXP6f2lpaRQTE8P8sNPTLW3CkoELhHaWj0m2BXMS/4GLINUKrGBjg6+2embUB7uxrZMOVzVTYmQw5SVHMvXksnoxAbYoIO536cub2dfwhg+xqopLJGYAkb91ty1gIw6DdVajYSmH61FrNbusoY2a2jspN9G1p/ZT3xymtYer6ZEzx7lM2kokEu0gkRsbHkTJUeY4hEgkEi8E2CkpKbR+/XoaM2ZMn/87fPgw1dXVUXy8Nh9cif+C6mJMWBCdNzmDYjwI5ziCYOfB08aSv3L/J/toQ0EN3bwwh04Zm0oDCa64XdfawSqtqAIbAb+jxWpHpT3AttpZaQiw95Q10I1v7GDq9a9cPpWCBCnB8zZzEe2yLFDB79T43iQSZyCAjVTRHRKiQzsA5/1Vr26lPaUN9OZVM2w2Xmo391e/upVaOrro6XPz+3Qy8QD8pR+L2Nc3vbmdXrl8GsXKxKtEYhh42f/83V0UFTqE/nvZNMqI9Z8ks0QyUNG1I12xYgU9/vjjTOisuLiY/VtnZydt3LiRbrrpJlqyZAmFhckLvD+AiuIrm47T378rIEHjrX4F2ophNdbR2Q/fnAfirCJnGNlsaLNUno2AzTUnQmOLOFfr1lLBrmuxvGZk7UUF12QNhOf8eS0t/es6Vs0zAoL0cJsXtrHfJRnYrNpZSg+uPmDa78e5ijUe0zy7ra4RasB5/Yt3d1JzRxdLJOF1OmNjgV2EEGvuo18eFPK6JZKBzjvbS9ifjW1d9MX+Cl+/HIlEojfAXrlyJVML/9Of/kSLFy+mY8eO0ZlnnkmXXXYZs+m699575YfbT0DVAYQHD2ZVbD1VEQicKYMvv/TBDhp44j4ISs/KT6MLp2bSEAHVWrRss987eBCFcDl5lfDv16I236xz3luN4Bqq8Xg/IuzbwqzJA3+9BiSBwcZjtUwI8EurNaIzthbV0S/e3UX/XF+g6zlyrW3bhbUtqn8mLHgI/XR+tu3vVU3tTr+vyPo7Mc5x+YyhdPLYFF2vUSKR9EZpT4lRKYlE4nt070zvueceFmh//fXXzAs7PDycJk+ezATOpLhZ/6G0vpX9CXsuPS2zda2dtOxv69nX39++wHAbsmh4QBcqsAIaSPzmJDFiXjxgP21cCqtiaT1XuJ0bZpbVgooZQIUY5+lvP9zLKuAvXTaVjNBonSOHzZGINnEEIEQd1Gptn5dI9HC8toX2lDUia8kSlzjXLeeW4nvqWmnNoSpb4lArXL+gtF6bXRfGaxLCQ+jmt3ZQVZPzDX5RreVegsD6shlZFKjsK2uk//xQyOwBb1qQ41eaD5KBydycBCYQ+te1R4WKlkokEv0YKv1gFhsWXQioL7roIjpw4IBNUVzSP+DZ0MRIfXZF3KaLB09DBvvX+cHVzbnauUQ/SZEhdN8pfXUZ1GBTm9fQqm+vYA9hgca24nrr7+jWNYOqrGArfcKNEmZ9LbKCPfB4e1sxtXX10JJRSZQRZywQK7QGqEeqm+nJ5zZScX0b/cVh3rm62VI91tNtBFJjLAJJUOPXSnK05R5RZX0NjoxKjqTqlg72Z6CCa/jWt3fYrA0zY8Pohvk5FEhgXh6dafNyE3z9UiQmiJbKCrZE4h/o3kFi/vqpp55idlzglFNOobvuuospiOP/EhMTRb5OiY+AABaI1Shu5liZBB1dPaTz15gGr5gqX+dAAvOTmL+ODAnS7F0tEmy6z5mUTmNTo7RXsEOGUGxYEGszR8KkoqmNMmPVCzQ5gjk2ECWo9ZzPYHMBOMnA4dXNx+lodQvVNrfT2iPV9PK1s0nPEojAudZamVo4IpH+8Z2lBfzmN3fQo2eOo0WjktjfoaoPshP0KXSn8wDb2rmkVmAJYmX4WSS74BgBL26MiiiB/R634MP4xa6SBoICoDNBNH/lh2O1tuAalDU6Tyb4K+h8uOjFTezr5y6cRJMyY339kiQGqWxqp53F9TaLTFnBlkj8A11RxerVq+npp5+mG264gd577z1WxQYPPfQQtbW10YMPPij6dUp8BBeS0muzpdxkdXT7X4DRNoBnsAGUR0/9xwbWVmoUVI4RsHMVbi1My4qjO5eOohX56Zor2EgMoJWb25NUGtz0csG3KEEVbMy5/3TecBqeoD/olwQeCCIRXIPVeytof3kTvaxzNhpOB3x+eVRyFN1/6hg2tgM+3WcXNTpiDbBzk/QF2Fx9uLiulQXJnsD33PXBHqYgjrX061vm0VtXzegTXDvy9cFK1k5+y5s7aMNRu/jZ9uJ6uuejvfTw5wdsmg7+xM6SepsmCajQUen3B00VALs0SeCzubCWfvn+bnprWwk9fc4Eume5uLEviUTi5QD79ddfpzvvvJMphsOqi7eFz5w5k5577jn6/PPPbZVtSWDDqyZQatYDAh/eJq53LtBMhseH04ikCGHVykCD22nB/scon+wtpwVPfceCdm8wLyeBrp49jKZnWaowCVbbMWWFyUiAHR0qKMCemE5Xzx6uu6ooCUy4EndGTCjdMM8iArZ6V5mu37W1yBLY8Wov5pjvWDyil3gYhPkOVzWxr915UbsD88Tj06Jp8agkarEmsNyByhkCa3SQuJtFRuJNOSIxPzeRjU4ghH/ky4O2pNzR6mYW+L25rYTe3mZRRvYnbpyfQ1/fMpfuPXm0rXoYSCjV4XnXgySwOWRNqk0ZGkuzsxNoRFLgjmBIJP0JXTvIkpISmjZtmtP/S0tLY23ilZWVlJ6uvhol8U9umJ9N503J0OxrrATt1x1dXaxF3N94fOUEGshEWoPIJmtbtBF4RTnM6mmtBSjN88CW+3N7AjOEyjlCbvVlNJGTGBFM04fFBfSsqMT3/FhYy/7Mz4hhD3C4spGNpWjtl+GBc16KfYSC+1QXKWazMYYQETyEhsXr65YYPGgQvXDJFNXfv6nI8h5nDIt3K2D5+f4K+v0n+2nRyER6dMV41hGF57nwP5voWE0LfXu4ml7YUEiXTs+kU8el0Gtbimn90Wq6fKb/iaFFhgSx5N5H189SvVb5WzB2+vhUlkiRBD4F1c29HAAkEkkAB9gQN1u/fj2rXjty+PBhqquro/j4wJmrkrgGSsp4GIG3C/pji/hAJ0pgBZv/jshQ7QH2hoJauu2dnWwG+8VL9amA67H6csaSvGT2EEVlYxubi8NmPM3agivp/2wssASfs7PjKS0mlLUVIwBGxTlLo0bAHYtH0v6KRlal4mRaRdOQmMLMNJKg6MaBXoa33BoKrC3weSmWZNRHu8vovz8WWVSNF+T0+SyGK7o4UGkbGhfGEgT/+v4Yq65+eSCUrp0znAXYW4/Xs6SdL7UhXAFRRUcF90AKxtC5JekflFvb/tHB9ebWYuro7qELp2QIccCQSCRebhFfsWIFPf7440zMrLi4mP1bZ2cnbdy4kbWNL1myhMLC5EZSYmH+iESmoqunsinxVou4uAq2nm6HYB3BMeZN8UD7Kd9gYC7V3wTrnvnuKF384mZatbPU1y9F4iW6e3roUKWl6pyfHsMqwznWtu2j1iqiFkanRtEZE9Jsc9dcPO+k0cn0wKljKC0mjLVo/+uiyXTd3OFCXr+apBuvnmdZq+mtnd20v6KJ9pU39vq+bcfr2J8zh8X1+ndeReWty2iBR/UdbfWY795k7QLwl/nlm97YTn/66lCvf9ejOeEr0C3A+XRvOZVoELOT+CflVs0RjPE9/MVBevyrQ6r0EyQSibnoKk3C/3rHjh30pz/9iT3AmWeeyYLsvLw8uvfee0W/TomPeOLrQ2w++fwpGUwpVg/3WefVfMlfvj1CwYMH0fXWWUjOyn9tZBX2Zy+YFHDtfiLgdlZc7M0ITQYCbB4Ua2nvvuuD3XSostlmVcTnIv0NPe9NEthUNbWzYBOVZFg5cQExBJIlGj2m3fHgaWN6VaoiQ4KYYKARPtlTTr//ZB+rvD/hYYSGz3+jEq2sjCoDOYx/cNuvHIc21nFp0UwAjjM6JYq9n6lZcVS8q4z2lDXQghH+4UhS19JBG4/VsjbrXywewYTgEMyUN7bp7rrxNg+eNpYlJZ9bX0B7yxvp7mWjaOVEOcoXqCARxnUAMhQaCBjHC8AGC4mkX6G79/eee+5hgfbXX39N5eXlFB4eTpMnT6Zly5YxX2xJ4ION0SubjrOvz50cuDfh2uYO+s/GQvb1hVMzbYkCZHl5BQYVpoGILfgz2FatDLAjdAjGBVsDfe5LrgYuwoSZU5Hc/s5O2lFcT3eflMc6L0QlMUR8xv7OrpJ62lHSQBcM8BZFKNqvuXUeqxAGWa8x2Fgh4Naqjo3fsf5oDQ2NDaOZDpZWZnzG8NDG2ljqIRGAQA2jD0hQZlkDa94CjtfM/egRXKOghhGOxMjeScypQ2NZ2/uWojpCVzv/eS7UxFXR/QHHBCI+p28PV7H3hiAnyeG9+SPoDsBjc1EtC7CfXnOEuRx461rFuf/G1mL2WeJ5uY6ARB/wvIa4IY4eulh624/KCFsi8SWGhmshZpaQkMBapGJjYyknJ0cG1/0InhnFBkpv9dqxjc4Xm+5GRasjbkj8vXAPbGUQNNCAkNcZ41NpolWEyQhN1sBBTwU71BqEKI+Jx+dT2HSJVs6va+2kIYLO1VAdyYNA5YpXttqqtfBrHsighVup5n3Dghy6b+VEqq9rpk4N3Qyoev/hswM0OTOmT4BtBinWNvSKRvcBNqrRL146hfaUNbLKORcIRMILHvXF9a1MOR+VXoAWdsdE5pjUaLpqVhbdUlTHgi1+rSDovnhapl/5NNs0JqzrDbRJ8P7gPY5jFEjnOzoF+Pw+jh86CbwB7OaeWXuUqce/u72EHjhtDM3JtgtVSrSvMRgRqW/tZNcOklRI+Gi5j0okEj8KsBEswfP65Zdf7jN/hPlrzGejoi3pH7M9yVEhhiq8V72ylXaU1NMTK8czexZvwytGqDBkK1oUlS27wX42t+stYOuBhwgQpKNCx+cxzZ7B5rY/PMB+ZVMRfbq3gs6YkErnTMogvTS0Wm26wsQE7gOlRZzPwgPYNkn6bob1iI9x2zkob3sDbk/X2G7xtHeWFMUGHveEsanR7MHB98ZFBFNzXRdrqQZ8zpd7bDuyu9Qyrz1GoZCO2Wx/U7nmTgtK0U8Epgiw4Y/t7wE2/MZ3lTawroFlo5Pp3o/32dr8vRVgn5iXTA+e1sO8zpHEvO3tnfTaFdOlhaFOcO+DZZ9yH4NxLwidSSQS36IrqnjllVfojTfeoDvuuIO++OILNo+9Zs0aNo+9b98+FnxLAh+IuoCUKLuwjh74/sxXFbxG68bI0deYB3OI7bjSuUQ/V8waxix4YHGlFd5BoNbKDeML/HziLeJoad0lYMZVtA82D7Db+nlVocA6d4vgWkRHhBoQ2GCeFCra/gRab1F1PlhhETozOuIC4iO8E2DzCi1aT52t2fj3i1/c5FIEjSdX+HWE9vFzJqW7Ta4i+B6f3jfIQ7DwzNojfiF2xjuhlB06CFa5C4K/8+a2Yia4CGs1BGKwQwMiNQHUcNKYFHrnmpnsa8SB3x6q8urz92dsji0DoFtKIumXAfaHH35Id955J11zzTU0dOhQCgkJodTUVDr99NPpn//8J7377rvU1ubdRVsiHkcBG73w6iSCIm+ADSDmaB/+/ECvjV6Ug30UD7AHavWaf1bYKPOqra+AkB42fHzT5wm0oHJ4BZsfR6Ptcbz1XFiAHTQwKtjcqxl+rN4YBYEA1pWvbKV/rCugp9YcIX/iqwMV9Pb2EqprtQTHvOX6py9top+/vVPzyII3K9iotHOanQTRpQ2tdLS6hV7ddJyJLDmCVu+chAhb19PUoXF059JRTCjTGXHhQcwucKkTazxcM//eUMgqnb5eo3gFO1KxLkAIDuwpbRBidWgmsD0DEIQkxcyut5JTuNdwMC4AoTjw303H/f6z81eQUP7mYJWtS0SkpopEIjGGrsiivr6eJkxwri46YsQIioqKopqaGoMvTeI/Abaxdv9gLy/6qGqtPVxNb24rYRs03iIO8SX4RHI6OnsG9Pw1WHekmhY9vY5ueWuH4d+Fz1qvZU10WBD9/pQxdPeyPE2WYEje8PPL5oNtIJCFuBNXVBflcwtv78tnDKUT/LyF1ChckArFE25RZRYICq747xbb3x1toXwNb+tWCl/h0vhkVymtOVip6TrhwQeSUN4Abexh1jXRmX0fF4b8fH+F09Gh/zt9LL1+5XTmha2Gsydl0H8vn2ab/XaWnIUi+3WvbbN5/voCntRDMkApZgfhth4/E2RzBGsaT9RA5AwgCYKvuQifmeAevOjp79i4GF9fMcqDzw6K+5sKLTZuEm28va2Y7nhvF324q4z9/f5TR9NT50xggooSicS36Lpj5+fnsxZx/OnIDz/8wITOUlLUVaIk/geqEliw399ZJiTA5llVb7UtVVk3twCZXczGLchNoG8PV9P+CsVGHKq18eG9ZuoGGiIVrk/86zo2+/XO1TNYhcJMEPxeNXsYdSuqIrYKtoH5M2WXhSg/bQg1mSHWhIox2jvnqQxkzOZwpSXA2F5cT3/++jA9fW7f+4Oozfqtb+9k7aXKgBudC/7QjYIAggem8GZXJpEAlkEEa5EqA2azxPzcgXburp4ep6MzWhOv+8oaaVhCeK/KuJbr/LEV41kQcbCyibla3LYol3zBT+dl05WzhvWp2k/JjGFBorJC62/g9fEkJO/Mweyucn7XTCAChyRJVVObTcguMiSIfrVkBOt28dZISX8CSTqstUp9A1F6KhKJxDi6Iovly5fT7bffToWFhbRixQpKT0+nxsZG2rZtGxM+W7x4Ma1atcr2/UuXLqXISLuaqsS/QVXz/tX72de3nZBLs4Yb81XlVQhvKVsuHpnI5gAhogIlW1i/QJUWAbbS7xkKsG9eNYMGMrb5YIPty6j8YgMF9GykuUgWAn0kPDyJ6qFd9gYHT3MR5xn2yNgwI0jnFXF/BFX6C17YxL7+72VTKU8hEOUrCmrsFTxnlU9RfHe4milTYxb2/lPHsM0lEmX+EFyDmma7+4JyLAVVYZyjSDSi3TlSZYDd7IMA+w9njHX5f1wVnPt7e5ofv/TlzUzd+Jtb5unqCjlhZCJdNn0ovfRjEX1fUI0hBPIVPDhU8oczxlGgOIKgo8IXTh7wDwfj0noH0kucjAVI1LeHY1QDGiT+LrAnkQxEdAXYEDFrbm6mdevWsYcjH3zwAXtwPv30UxlgBwDfHKykAxVNvZRuTxqTTPGKKowe7LOx3snwYwORnxHD2sT5ZjB0gMzB+mo+mHtS67XpAov+so5VgT68bpbTdlH1at36zzMEMc9eOJlEgsQBNrjY1w5X2DYZQTnbu7mozi8C7P9eNo1W7SqlP35+kDq7zbvOlo9NoRNHJ1NDa4fhtckMeCsuRMmUwQy+hkVgZWM704VI01A5PXtSm9eUntV2CLnyff5sXwX9+/tjNC0rlhZbfeTTokMNjVxcPjOLXv6xiA5VNrM2cThbACPBoiuFdLPxxfPyADsxMtQn7/cDawvzstGW80FiHOxvwNyceFsXHgTjcKznZMf38sWWSCQBEmCjSt3RYd/geSItTe1WQuIr9pY10B3v7WZfp1g3L9fOGcZmzIySlxxJdS1Y8L13c+fVFQTYz284xuybAK+ySnr7TxttEedzoqj66q0k4mdbmHKx59eCCmBVczvFhAXZ2nBROcffw4L9o5LJ2XK8jm59aye7Dl4T1DGB6/Ka2cPoue+P0V4/mT9Gsoa3DZutt4DqsD8G16DGjShZTJg9wFYLkoW+AIERUlWO3SRc1VzZ/q4EyRW0c8OuKyrUUrkcmWwsAYTPEgkGtDr/4fMDbMb/vlNGMwE1R5CkW3OoimYMi3M5/vPYlwfp8/2V9PKlUyhJ5T3u798dZSNHF0zJdJrsQKeBUhPCGeuPVNPvPtxLp45NoVtP8F4lHuccSLLe28HR6ma6+4M9rAL63EVik4qOM/s4bvhsFjhUWnGOrTlUTUeqmuj8KZle7dIIZCCY+L/Nx9nXSq2Df31/jFW2/3TWeBlgSySBGGBDMVxJe3s7axfH3HV0tH9k2SXaWH+0po//tdHZa85lM7LYw1v898ciendHKfs6NiyYnt94zGbVpWyF/uFYDf3pq0PMf/W+U8bQQK5gG20Rt8+J6p9nRwW6paNbVafDJ3vL6ZEvDrLZ+sdXWgQXz8xPYw9/wywNAr7Jx3yjv2C23gLmXx0DPrx/iBcmR4f2GRvwBTXcVstJgB1t/TdfK2J74q5Vu+nLA5V097JRtCI/vdf/VVtb4BFAOyPZWiWtaGijj3ZbKpciZn3Pyk+jD3eXsYAQ2gObC+ucBtjPri9gFfQVE9Lot8udiya+tsUidvnGthLV5wxGp/aUNTIPaUcgwLalqI7+fv5EmpbleqTqodX7WbCJdnd8Jt7qPDlzQiob9XK8dtCxJsotwRV8fRqdEtUn+YBKPhIm+ExmDI/3O+9zf+WtbSXsnou9S28fbO86tkgkEtdoKvXs3buXbrnlFiopKbH924YNG2jJkiV06qmn0pw5c+jJJ5/U8islfsJhJwqomGsMRL7YX8ECxsdWjKO8lEhbcO3YCl3X0slaDnkb+UDEprwtyNpKb3u4VrV5LrQEj12RoKqz/Jn1zOdXFKJ9sHEOo4rIA+yjVc0+t7mBgvJ9H++lV61VFbP0Ft7eVkJn/2sjvb7leK/nXrWrzG8SDaeMTWHzxg+e1jdph+tjkMaEFoJUtF23KKzpzAaBGPQInM3SnzUxnS6dPpSpUDuDt2/DFx2BMCaORAjx4Xn/dt5Epp0ByhvbnFb2EFyDrw9WOv099YrxiiYNnQT2Na5vQMrXPdxPXIGEw3HFvcabyvdoz4cWiXK95FoZSstDM9hdZrkux6U6D55TreNAlU6Op8Q56KRAF89F0zJ7JS24Irwz/3qJROJdVKcuy8rK6PLLL2ee14MHD7bZdf3sZz9jFexf/vKX1N3dzXywUeG+8MILzXzdEoMgQKlv7bRt0rnFyM8Xj6DHvzrEFm+jbX2+ggfUkSFBtg1/VlwYFda29grepA+25TNampfEKtlGZgO5X66RFj8e7KsJzo5brYJEdVlw2jq6mcWSUofAX+bcoZT9w7FaKqxtoec3FLLqRUZMKJuJ/fFYLZ0w0nfzjQXVzfTh7nLFMTRng4eADdcxt4oC4daRAMy6+wO4hnAdOLsW/nPVTGqoa6YulZ8Prsn7P9nHlMc/uG6WbgFBrfDX7iyoP3ti74q2I45jRQiIRbX+IphIjLRUzqubOvp8Vneu2mN9znCmCeCM2pbOXueTWrjdo7MkIpINmInFtemK7UWWdnl3SW1vwq8btNSbocCP9e7HwloamRTJ7jEzXYilJlo7IZTuHxL3wNLyN04sLbXcQyUSiZ8E2K+88gqNGzeOnn32WRZkg/fff5/5XT/wwAN0/vnns38bOXIkPfroozLA9mOwGb7wP5YK3dtXz2AtYqjcgcmZMbQ0L5mO17U4VUzVA2ag8TgrP50F8GbDq3moGGIWDzy6YjyryCsDJ34TGsg+2LAOEqGCGx0WzHye01UoC4uoYB93omQM//O/rj1KQ2PD6DcnqfPTdqTDKs4lcrPJ59yNbHqO1bTQZS9t7lVtgocsBG7WHamhWcPjyZdw0bURSZHstZjVdlrb0m4TEOOEWoPO1g7/31TivLIksdQF2KhE8VjcSHeIVnhAzBXMtf4sXiuv+IqeIeez39BgUAKxP9gWQa39iZUT2LoOd4PjtS2sesuB9/OfV06g297ZSWUafLX5+3E2183Pxzrr/L0zMOuNdt5dJfXMlmpCuvfaof+5voBZGq7IT7PN5iqTNUikiA6w39xWTE98fZh1O7i7x2AdU1qJSdThbN8SbC1+yQBbIvE9qndBmzdvpmuuucYWXINvvvmG/f3000+3/dsJJ5xAv/jFL1h1OyZGehv6I29vL2EbD3DmPzdSekwo/WRGFhXVtVBechT93+lj6Ig14BY1N4nZWm+1OPKN0G1v77T9Gzb+jvA2KlF+xwMZzM49dtZ4IRuGDhUq4DzQVG52UWFCJbcuWb9St62rQWAFOzhokOE59w92lbL3jM4SVIKwkYKyMip1QYMHG1JoFtk1gkDmpgU5ps83Q427TwW70z8q2P/6voCNnaDSOz7d2D2Qd4YAb1WvAeacgWOLOLoEkIxFkOtO6R9BLOaVpw6NpdPH9dZsMYqrgAwz0mDp6GTW2YLRiStf3UJDBg2i966dyd4Tbnu4D0HsCzPBuYnO29wdwUwrv36dJTqg9QHciddNyoqjP5w5jjp9ILQJjQJ05iwalUTcKQsBNdYT7AWQSIEAn0g2FNS4FPtTkiADbE246zbwtmOLRCIREGBXVVVRRkaG7e+dnZ30448/0tSpUykiwn6TGjJkCMXGxlJTU5MMsP2UMyek0Sub7DOM503O6CNClivITqhXVtUa1JsJgnm+KUQLLRSWTx3nXGCHZ3m5MMhABZ8Zbsj4HDz5T5sJrEXQaulKPEkJF3FRelXbNxf6N7B8YyKyq0GEUjufL/7lkhF09iT7OgyunTvc1uqJw+eLY8gDiyiTq6w2CyzFpj0siLcz+0cFG63CO0saaEFuX2/atzcX0QdbjzNxvtPHexbk42sZqrIixxb0VrCh3n3FK1vZ3Cxa1l2B4BXn+wVTMmjy0FhTAmwEjMqxFt5yzceehlrnjetaO+nkZ77v5SDx1c1z6eXLpqp+TmWiwVmAjU4g9lyK9nN/AesCv24crdWQtMG1a0b3R6m1/R4t4u5IjLAfT4mdmuZ21pExZWisLfmB8/3yl7ewxMjdJ42isQ5z7XwvY7aLg0QiERhgh4eHs6o0Z/v27cwLe+7cub2+r6WlhSorK1mQLfFPUM2FjcMv3t3F/m62X2IQnwvyQuZeuSF8dMU4+vpgFVOfhTfkn78+xDZjD5xqER/iFYmBXsFe8ORaVs1fde1M3ecCNnHY/xvxd71loXrbGt59oMzk23ywDWTveXCODYwooKyOJBY2P0hm6AHvCRt7V17Il7y4iQUYr10xnVUPvQ2fT8V7RTs7PkdUB0X7/fJAQVkV45Vdf5nBVvpgO7K/rJG+3F9JqZhTHq9+PfO2fVGkiwCbW5A5U0hXondEQw0JEcHs+WHJhzWcd2+cMSGNzXtjzIlfwyePSaE3t5X0sWdc/Jd1LMBGIkANykQHF5JSgtfiKKCmBDZUJS1dFBdEFDxoEDtX0eKeHhNmekIMxwy5bSxpjtVkjNg0tndSt8qRBbWgKo51AOR46BLA8QTVskW8F796fzdtPV7PRq94d9juskZmgYfzMMuJ/sj5UzJYl4KnpIZEIvGjAHv8+PG0evVqmjbNIhzy7rvvsj8XLVrU6/veeecdGj58eK+qtsT/WDgikW5dmMNEXhaPSvKOdY8XKth8I4RqD6osF07NtG0yVu+tYBVPHmBjYwbPb2cb4YEEgtT2ri5DbWV//fYIE5RD27I3rJIunJrB2pL55qy3RZSACrbApAuCo1+dOJJ9rXcz/ewFk1j1wt3rxqa2rKHVNwG29brDJv6cf//Avl5323zh3SHOAjzue+4vHvfcgotXNZXwQFltOzsPcL05fw0yYsNo5rA45sKghFcZfblmYt3+9MY5ff59yagk9lBy7uQMFmCDqNAhNCw+wtYN4ilJoARjVGt/Nr9Xy76SlKhQpoeQ4SJBCWXzD3aWsfEJzCQvfOo7FtKuvmG2Sz9xUfBWegTXjl0QL2mo4mt9TqxH/D7sjkmZMfTYivGU5uH7BhJIwCC4Bt9YdWQAKtpguguP9wkGR1IkEokPAuyLL76YzjnnHCotLWVt4B9//DHNmzePRo8ezf6/vLycPvroI3r88cfp17/+tcCXKBHJnrIGKqxpoZHJkV7zpuabbG8Ib6B9EJVYVPyU1TMu2IZ/522FF03NZI+BDq/WGmkrw3wwNlRGK79cG8DT77l6tqUt2mmnhIFEAQIgVLV8EaR6wl01mFfQfOWv3Gh9XmXghfNJpHASuiSgUB00uKPXGAGCGwQq3pxRdgXWFl7Nj3Ji52RX51Z3rTV1GPeX18Ps7AT2cAT2cCBQkpLo1jpjfCp9vr+CrpubTZuO2ZW8oTheUNPMvKtHeXDMwLUXGoSH82AY9ldPnp3v8ucLrO3rw5lmwiCmIYBOBwSiZgfY3Lect9Z7g3KreFxyZIjH0QZc0yeMlMG1YxLp7atm0NnWZCWuO6x5/PyVfuESif+j+q49ZswYevrpp+mRRx6hoqIiWrBgAf3xj3+0/f8ll1xCx44dowsuuIAuuugis16vxCCf7Cln89fIov/sBPUtuUawqUN7ocKEzYuzNmelIrqyrVBinzfuNBCYurOwUcudq3bTF/sr6dcnjmSVJ62IqGBDAXvWZfGmbHJx/qcaUFl3B6+WuhNZMhN4PuO5MQ8N5WCbWJ3APT026q9fMd3pv5sdpKgFgTO/jJxVsMNDtLWzj06OpP87faxNyM3X8A4CT8JV3gRjF3/8/ACtmJDmVFTunpNHsweYkhlDaw9XsfVl47FaZlXJW/rNTLocrba0S2db26VREcfzoo3aU3AvqoLNZ529AVdn91S9lrgGSRvYMBbXt9Hh6iaKagyyVbNnunCNQPv4oYompj8gg3CJxLdoSosvWbKEPZxxyy23UF5eHgvEJf6LM5Egs4GwCjY2qJr7ClS3uDkO2shlgG0nWEAFm7fmGwmw1VbSsaHGxhSdEcoZRvzd8vCPYETJ2f/6gX1G7103k1KStNnzvL+zlP63+TgtG51MV84a5vR7uC0WAgZfgOuJX1NoJECQyS3PBhI80YTPAHOSjtjnxdV9NrB2wnH3Fyoa25yKZXmbx748yGy50HI9IjGC3tleSqt2lrE2bncV0zGp0bT6hjlsnbr2tW2qrci2FNXRuztKWNBy/pRMt2vTIIduEyQlkHzCP/G5WYhTQWUd7eon5pl7fKusfuHcP1zJn78+TD8cq6Fr5gwXOiqWEBnMzlu4HKhJQHy8p5yJ0UEvxR86UfyFnMRIS4Bd2UyDrec1lPlh8+aMz/dV0L++P0bnT86QAbZE4mOE9Z2deeaZon6VxERqfNDih2yrq4yraGDN8u6OUjZDCMEPDoIwzCxho4M2WrTLPb3mCG0pqqVLZ2T1md0bSNjUt7uNB9hGWlnVWowgODnv+R/Z19/eOs8W2KFzYd1tC8gfQXW9ibpUWZA5UlTbQgcqmmhypmvhSB5g8wDPl+A4dnV2e1XJ9omvD7Hkwi0Lc4RXs5GURPLH2cyjIxCMAvheZy399hZx/xBkc8XxOviub2Ez9Z/fZBcyrWhst7Xl+xLYoOGaQCsydxLAmq9GaZ1bvPF1Q027PkTKPtpdzoJxVwH28mfWsxl1tPai+sg5Zq1eZ8SGs+eETde4tCh6e7tFtMpsoOSO4NnZ2E1JfSvtr2iyHVdRTB0axx5qwHWCDgQch/k5Cb0+u4HKCxuOUUsnRmwsx+xIVTNL0ABH5XAlUkVcIvEfvDvYJRmQAbY3Kahpof9uKqIJ6ag09G4zjg61WJLwNlr4ue4oaaA6k1sE/R0R3pl89jdGRRDiCrsKuPsNr/L/RVer391eQs9vLGQJF5EjFHzj06Yj6Ky2VqDcVQ2jbCrGPmoR/3Q/qwpePXsYOyYQHBPtxbrmUBU9s/Yo8wG/fdGIXv/34a4yVgHD6IvIABuq0BBtQ8CMwMlTAAebuW9umedSDCvcmoBSG2DvL2+kwtoW5i/uTWXg0CDLWom3q7TCOmNCKlOyH+UgfuZtYqxBMs73otpW9vXQOG3jF+HWDgM17frc5z3SzfrGPyNHATuupp2r6OAaaW0LP1zZRGaDoN6VpoTWkQWzwMhBS0cb1bV2UBbJAPu9naXsvMY9CMkRXHPoHkGCbnpWnF8IykokEvfIAHuAodZmJVBps25ulDPXHEsFqs1WZeKbCmffO5CAIik2p3FWr009cHuamPAg08XwuAc2Nv+ivYFRrUR1THTSxSayp0OHAHY+QKmY7khWXBjlp8ewlnlvA02D93aUsq+vmT3cNFFD+OpixtBZsIC2UgTYopXEUbVEEMdndT0JRSHIwibYla3W3BGJtO72BayFXA2r95bTiz8U0cXTMvskFcyEj3pgn47PlLftqvHu9gaxClss3rWRGastMOPvCZVCTzTxzgQ3IzB8JMCxIl7aYE0AxEf0SsQAVLxxXvlqpp0nGSBSKRKIckGDQO36HMkST229/MYHKlg3cQ8Cy8ckMxE4AAu6GcPcdwJyCzlvWKJKJJIACrC3bt1K7733Ht177729/v3AgQP00ksvMaXyCRMm0JVXXkmRkdLnz5CPrBcr2LtKG+jn7+xkbYVm2YJw+AYbYkuO/P38SSzQ4aJe3Ad7oM9j/2Kx8Y072pcrDCri2irYHtqonXlgA1Ta4O2O7P0fTh+rqqXXEZ75F10ZdzzndIkUuQnuEPj4KvipsSYALG3UQ+jsieksyIg1kLBxRm1Lu8vuG5tVl+BAAWuXMjlpVIkZ5xWqhmgT9pa2gR4QLCI2wuXQ1Nbpd3Oxdt/pTts1mxyl7dho8U9XcxxsAXtHF7vOESjhT6ixo/I9Jdc+hoQEDFq3cT6Z64JN9I/vjjLtEVyXKQ6iY8rXLJJLX95MlY1t9MIlU9jcuydEXL83vrGdfjhWS+dOSqdfLx1FgQoq1zilI4KHaNY64OMSsoItkfgevwmwCwsL6Wc/+xklJib2+vf9+/fThRdeyNTJMef9wgsv0Jo1a+jVV19ldmES16rFb20rofMmZdiCaVgg8Q1+pJdtX5CpF+kt7Ar+/pxVpR1VfXkwPtAr2CJ46PSxhn9HcJC2FnHH8wnVw3VHqpnAFjaMugJs6+8W7d+stv1db4DtL8rSOAbXm+SDzsdb+AytEp5QUyseppbjtZb23itnZdFQFQrwGwtqWNUZIkQr8tMNPz8fvdBzLhsBxxHBFwJLPJKsyVlYPEKoy5sJWmfEWJM3CLC5SJnWYCQzLozGpkapqh7bXRKCVAWJV72yhc02g+vnDqefLsih+PhIqqmxt4TfsWQkeYM3thaz7g6IjrkKsEVeN9hnILjGOqx2zQoz+DpwfBBcA/ie/+rEkW5tDf2ZYzUWSzd06mh9D8GDjTtpSCQSMRiOLFpbW6mpqanPA9UkNeD73n//fTr33HOpsbGv4Mdf/vIXWrRoEfPWPvXUU+m5556jQ4cO0WeffWb0pfdrHvniID27roAe+HR/r3//4xlj6Z7leW5b3UTDs6reED3iGXC+2VHTTu5M7XcgovaaNQu0TS7ITaARSfZWSmdwOzFnQbDNEk7nucbnhkVXsPW2iEOVGMkpTy3iA0HXwZ0DArexcpx/NUqhdb4XSs9qOl0gvPX+zjL6sbDO6f9j9OCeD/fQ3R/sUfX89dbAjldsvQmv1vL2YQQwV726lX7x3i7yNVzrAS3ildYEVJLGCjYU+V+8dCqtnOg5EVLbYjkOsW5GYPj5gQokD67BP9YVMA93X63pXJfBWWKKz2CLbBFHUgrLKO6ragNs3qqut5LuaLVWarUJC0QwCsNF+7QSZNJ4jkQi0Y6uu3ZzczPdc8899MUXX7CvnfHpp5/S8OHDPf6uI0eO0IMPPkg333wzlZWV0fr1623/193dTWvXrmXPxYmJiaHp06fTN998QyeffDINVHDjRGXBVWXjwimZzFMYwkB7yhqY8iRaOM22BDFLREtEBfurA5XsMWNYHJ0xIc2WLR/oAfZdq3azzwVtdWo2m64Cc6MVg5PHprCHJ3jw7CwINiqwxTcmPCkkigW5iZSbGEnpGjdN2HCiYoiOFHft95uLaunuD/ayqsezF0wib4EEwIaCml4JAMxfYsOOgFtka7FtvMVJoBBqQqsrqrX8LFAroMUDFbR3urpWYCcF7j9ltG1m0lMFOzrU+8mVSFatbacmq8AX1Oz5vL+vQQUd51tkSBCbTUdANTZFm/2dFnD9gXg31yAPEnEPQrLwSLV9b+QssYZz4XhdK+0qaaAleUmm2AtiVIOvhM6S6khU4HN0db7q4XCV5X3nJEbYLBQ9YVN01zk77Fj5xmvwhR6FCMqtiu5aRx7ApMwY+v0po3X9rEQi8YMAG1Xlr776is455xzKzMx0urFOSEhQ9bvS0tLoyy+/pKioKHrsscd6/V9lZSWrhg8dOrTXv2dkZNC+fftooIIb8/2r99MHu8ro7+dPpGlOVCUnD41lgSSqDp/sKXdr7WA2ZokeaZ3B3lvWwPw2UQ06gynCDqGodrt/70CG+RbrPD5bj9ez+Te0W/774ilkNgjcLpya6XQe0ui5xgNzT4GPVi6fmWX5vRqTOZEhQfT6ldM9fh9yHGglN6Lirge0Q7+y6Tj7eqZVgOf2d3fSzpIGemzFODphZJJXBBpFt7qirRZdQAgSHjxtDL21tYQpZ8/Jdn9fa7G2K7tKLPCKIXutnd0U5SnA9mEFG04MiVEhtu4AHmBnWr2cfcms4fHMz5qTl2JR5TaLf180mSV43LXqj02Lpq6eHspLiaSrZk9n3Qof7i6j9UdqbJVFR6747xbWvv1iwhRT7tFcnA1P7yzpfGZ+GnuIBJZSIDfRfSeSkkumZbLkql6lfMfEGtTZ5+Wo24P6G5VNlgo2FzfTAoT+tIr9SSQSc9B110aV+YEHHmAt20aJiHC9CPOW8fDw3gsG/o7AWy9aN7lmMMS6seJ/auFQZRMLrsFXBytplosbyZycBBZgY5OG9wwxoo0FtawCNCvbO77USmsaBD1mf/Y/mZXFqtOYt3Z8Ll7l6uzpYf/35tUzKdCOvRlwAS7ElnqOT3t3N5u7g7CKiOOrtAVyRlZCBP162Si3s84Is/S8loTIEBqeEM7aTc04V8069mHWwA1e5t5c387IT6eyhnb6Yn8FnTs1gz03P5/0HgNXoMUVyZWkmNA+v/e3y/Po7pNGOb3u9bD1eJ0tWFi1q4wlKc+dnEELPCQMWq2JnaiwIX1eB445zk8uHtau4nrh7b3xkcFev2/d76CrUGRVNs5OjPCLe6hRPttbTk9+fZimZsXS/ae515DA+03zkLy6YUFOr78nRofS5bOGsYer6x4CYOgAOVDZRPlufO71wivCEFkL9lIimbdnY51We55McmM9pQZcS0oa2rv84hzVs97fe8oYumlhDkv8+8N74DCxw5AhqrsSBjr+ts+TBEiAHRwcTLm54jxiXcFFzNAqrqSrq4tCQvS1wAwePIiJjfgLMTHas43VxXZl20NVLX3eT0ldC738fQF9sa+C/b21m9j3HKhtozvf3005SZH01R2LyFv0hATbAriY2Ajh1kpK8D5dnZkxUZaWsUFDhvjFOaDn2JtBlLXtMSg0SNfnEhxmOR8jdP48Z9W2YvrFG9tYwuilq2cZCjTDIkJ1vZbfrphAvyVztAHw4Bsm0cc+sanTdo15+9z+5Wnj6Jen2f8eYW1nDg4LFvpa3r5pvsv/E/2emxStquXWGV/8m6fn6bQ2lSfGhrv83oiQICbKFKriHP3jOfnMB33MsASKFqzKrpXiOkvgNDYr3i/WT1BU00wf7yil7KRIWjYuVdPPhoSFsBbt7ORIoe/nYHkjUwlPjQnrc69zvO4nDY9nAfaxujZTPtPBDe0233BvHbMaa9dFTmq0155zsGJPZMY9HklfjCbBH14PWtf71GR93Qw1Te20qaCGJTkXCh4HfPit7fT5njL67Wnj6KwpmUJ/d3/GX/Z5kgAJsKdMmUKrV6+mMWPGkJlwRfHaWos6JKeuro7i4/VVYLu7e6i+3vncuDdBVgsXXn19C3VpbGc9WGIX0NldUk/V1Y29Kn57imrpr18dsv29uqGVqZeWV1s6AkKHDOqlZmo2re1dNCY1ioIHD6LKqkZbhcvbdLZbWkybWtq9+v5FHnsz6LYGE/UNbbo+l+pay/WErYeRz7WluY3NKja1drj9PWgHxGwqhOy4mjAHrZC4EmrqmqmmRnuLnVn8/uO99O72Urp1US79/OSxqo/921uL6X+bj9PysSl09RzXmhatzZbqIoJ4b53bOA7OWqEH9VjeV229Zd0JRMqt1VqQGRNKm1GZq23x+H5qGy1B6KCu7j7fy697tOri20qrGinWw359VmYM+7MTa5bVpswX4FiX1ls+k7gg794/XPGrd3fRZ9Yk8vj0aJqerq1NvNt6P6hvdr/elNW30pPfHKbM2DC6aWGux0Dsmhc20tHqFvrzORNsIxKu1vxhMZbk5vbCWlM+09JKaxcgOtic/H60veNzRKfEq1dME6K8PWNoLIUPGUTpEcGq3xNaumGJh7np6cO0V7MrrfcgTl2T2LXnD5/uZ2MvL1w6RdOsvLfv9VuKauma/26lrPhwev86fUlqV4Kwn+wsYWJ/wd3dVFXdKCvZAbbPk4gBx1RtV4LqAPvzzz+3tWVjBvrhhx+moqIimjZtWp8WbrB06VLDXtWYy4ZQGuatFyxYYPv3vXv30pIlS3T/XrUepN4AF57W1wOxknFp0bS7tIFuXZhDbR3dTMCM02htK+Tg5onn4P8OUS9vfgYIrF+61O5/beZzf7S7jM0KnjAiiUan9t5wDbFuHvB51TW308/e2sk2u0+ek9/r8/PnY28G/L3jJqrn9fC5U8w/G3k/yuPj7vd8s7+S7vpgD00ZGttH0Ovly6ZZguxBxl6LaLh9CpJNWo59QXULU6aeltXu9vsHWTskMYbhjfeNCuzSv66jYQkR9OIlU3rpGAQp3qu3jsH3R6tp7eFqmpAeo0ooT60y+i0Lcmh0ShQTJsOIjaf3gzZKnsR09b18prmxpcOvzlFH/v7dUXpzazFdMCWTFo1KtM2CR3r5/uGKowoRsaSIEM2vKcR6nmL9cvezhdUt9PHuciZ0d/1c1xZ0n+4tp4c+PWATukt28pocr/sRCZY90v7yRmrv6BIetExIi6a3rprBCgvO3iM2gNzeqq7Z/Yy5Ws6fnMEeQO0x+fZgFf35m8Ps2p2cYUkqaWHxiET69IbZTKcB6w/OU1HnKFTqP9hZRsvHJrNkjDM1dk+oXe93FNfTSz8W0ezseOZbrpXB1g6ajk6x94H1h6ttSvr3fbyXLp0+lC6e1lsbSeLf+zyJ91G9miKgPnbsWK9/g70WHq5UxI0G2GDlypXM83rFihWUnJzMfu+BAwfoqaeeooHKKWNT2cNTwAPRqSdWTrAJ5HAhEJHKvv4GRJfWHamhtJiwPgE2An0ehOAz2lZcz+YhBQtGBxz8c2nv1Ke8zVW99bbPcUKHaPXB7nvgjCZKHly9n1VSbl6QQ/NyE3zug83Viz1ZdPGuEG8o9QM4E+CpUDF3FAm0XWcCrYmOVjXT3R/uYVXER1eMd/J6Gum1LcVsjRMRYGMDWdHYTmdOSKNK6zHgQbc7HlkxjqluuwtUbIJsHjZdUGP/sbCW+TtDtNLbQFcBAlx1rR1Mwf6XS0YwhWx/8RceGhfOkk96LLqUVo6elOerbeJ67p8DgRcPrrE0wWfbE9kJ4SwxCUeQ4rpW9p5EgmsTzgLu/h9ikXh+iCR622/dmYe4HiBKCYV3dyrveoETC47rvvImpvHQCS0Zk+Zq95U3MkcPPIeeANt2LxdcMUWil4N1EcUdiUTiHtWr6csvv0wdHZ43GEp1cBFcffXVtH37dmbJlZWVxYL8hx56iIYNGybk9/dHYM3Bb/hKH8rm9u5+H2Bzmy5n1lu2IKS7x7a5RQXbXzaMvgKiXrOGx9Gw+DBDn7lRayt+fPjvcwVXCDfD1qaoroUOVjYJ9YUFIUG8S0DbxocHdYkeNo443/OSIw0nOdSyu9TSejo+re+sYDC/zgRm7atb2lkw5erzs9n8CFIRv2S6vToDZWiAYBNBp7skTmRIkNXeyjX/vGgyk333tA7jPESnBoKwN66cQT7zwW7vYveR8/1s7nJUciQLRsBJY7TPm/LP32OAbZ3BT4x0n+RSqmajwyzSw3kAEKhlJ0Swc7ugpkV4gK0GJO8QYFc3d9BwgzlFdI8hyYdzVst9VbQLgFEgbrj2cBWrXnOXhPm5CUyc8OEvDtLSvGRThGIrrOdaSnSooUQu1imRFFodBFC0QTJzb5ll/ZdIJAIC7NRUzwIiEB/jwmR6OO+88+ikk07q9W8QM3vmmWeYX3ZNTQ2NHDmSeWEPZLjKMuZQD1c1sSARaqQcV5Vq2787sTcym4tf3MRsS569cJKpNhL8Bu0s0FgyKonm5iSwzwviNq7svAYaK/LT2UMvqLBNHRrLfJ6NYK/Cegqwe1wG2C9sOEa7yxpZi6KeWT5exeeVAOEVbI1Bp91/1/3mHpWb/14+jbwFr2AgkHBkelYs60aArZUoGlq73NpVcQ9ivRUwdyBRibMBZwbWMGXSUu/vU9MyWN/mOw/sXgG2CZ+pCC6ZNpRSo0NZYkl5/xMd1PEkl6drEOvgtKxYZlt4ziRLi7QafjovmyWORieLFwT77kg1bT9ex8ZpZruwmMPaUVjbykYgjIB1+56P9tGOknrWAfKzE3I1HwsE+nr4fF8F6/bA+YCEUFpMqKZj4Mimwlp6as2RXv82IyuOznv+ByqqbWVdTq9ki19vK6wK7Ck6LLpAkEmWqMdrLfulRSOTWICNRAruZb7S05FIAgHd/UAbNmygv/71r6yajMoyD5DnzJlDP//5z3UF2pi3dkVOTg57SIhOe3aDLWBEW+TiUUn0yJnj+gTSCCT/+PkBVq391ZKRtn+P8EEFu7yhjVWAtFbwdFewrS1njlUuXuni3+fMG1SijZPGpLCHUXiLuKdzxF2LONr+MYs7NzteV4Dd2W1OdZyfZ22aW8Q7bPZh/gKqOtiAugqwTx+fxh4iaWizfA6uWlj5Rk9EayS8g7GJjg0LYqMmqFj/5dx8Ftx78qP+01eHWDB+5awsw+2qDa0dPvPABpHWCixa3r87XE1x4UE0MjnKb9ZMKHWjhV8vkaGW9mkkEtxZA1bZxjTcH0/8/DPnTWTVQy3rx8IRlvl2M9hYUMMqsJd19bgMsPn4SZWKEQh3PL/hGAuu8Xmu0OitzZM53Ldbj63eW9tKaHh8OOsEmJwZYyjA5l7eSvIzYuiPp4+jS1/ezPYzZoD2a5CsY+Sh9yiS2Ap2aYMlwM7PiKao0CHU2NZFBTXNNCrZXP95iSSQ0XXn/vHHH+mqq66i2bNnU3S0fYOFOelnn32W3WjuuOMOka9TYgU378rGdlZNgfgOOFbT+2bAA2nctN7dXsJmJW+an80C8YzYMHYT8jZ8w2H2jGhrZ5fLFvFe32f9jJwF4gMVT/7TZoMbN6qfnkRk3FWw+QZD7/wvD9AwF+nrCjaOh9oZbG/y+0/2sWQZ1pH8dO90EzW0Wa7XaFcBtsCN5Z7SRrrhje2UkxBBr185nf3bzOHq2kHf3lbMXsPF01y3U7+zrYS2FtXSSaNT3LaZcg9szH36KoDlVcXffbSXGto66dXLp9FIEyqtvgABMwTAPAGlbRCvQtwK66fotcMIvCKMZIIreOLASAUb+xIEuODOpaNY27sW4NOtfL1a4Xsedu+oaTGcyEdnIPjF4hHMRg3t4bBcS7COCeBaMON+WW51IdAbYPNzr6u7h7p7eoSJ5i0ckUQjk1rY/hGdatuL61kSQgbYEolrdN25n3/+ebrhhhvo5ptv7vXvP/nJT2ju3Ll0/vnnsyr2YKtKp0QcaFHEFnKQNaMKUG1RLqbI3C4Ykcg2o5/sKWc3LbTBISDnQbm3CTGpdcn1DHbfDUVBdTO9uvk4xYUH00TrZ+etmVV/BlWOO1ftYdWcFy6Z4rPXgWrhM+f3VgXXGgQHGzzP3AXvRshOjGDiW5Ostktqz2XMZGIG1NPmHpu9c/79AwvuXrx0isdqm16wzvxQUMO+/r/TxzptEcTrhogg2hVFiSZxBwRX1Vx7Aq9biEI6T/hoAcJEPMB3N1/947Ea+mh3OduouguwsYkHMaG+DbCL61vZa8GVBSXtgQZPdMSEm3McIG62t6yBXbOixezQfQCi3MyDo7UdCTwjwWJlYxvrtkG3x9I8izWZVmcU5bWn977P1wejAXa5tZKclxJJF061J8t4gg/5W4xORKqYs9cCEpdAb/cLXs+vTxzJ7oNMOkJQ/H/LQnv3aE5iBAuwDzmp8kskEju6VgcIjd1yyy1O/2/UqFFMPbyiokLV3LZEG7Ch4DcSbL6RVcXNBC1LCFAAZgT5nCBaolmAba3s+oogL1Ww3bV+YwOALDsCSYgzwS4nQlawWXCCDXS9tSVVK499eZBW762gq2cP67UZMQskiVZMSKPJmbEuAy2ts859BdTEViZmDY9njyAN7bW4dl+/wlJB9QQ2x6UNbez60vve1YBN2xNnT6Dqpo5eok5KXtxYSM+uL6BzJqWzapYI+Dyy6xZxroRv/L03OHmuH4/VsrnLSRkxLoMgpcAaD06dwZN6noIAX1ewEXRB1AjJWShMYwbZUTF+IPDnlRPYOeHumBoBYlqPfnmIBabCA2xry7W7Cva1c4ezh4h9Cc4RPQrbEPW6/9TRbhMBWgJso6Mi0Ldhv89B/wD7CtwbsM7ieyIFB9hNOpN7HCQ8z7VapJkFxoIOVzZTsh+NLUkk/oiu1SEpKYm2bdtGY8aM6fN/paWlVFtb26t1XCIObsGFlipki2Fbc6ymhak88gBbCW+VxuZv2/E6amzvYmIqSTpFNLxtU6SVf1wwibV/p8eGua2io8K/5tb5pr6WQIFn5TFXpQdsPtFGKVq51N3Moqu5RaMt4khMob0uEAMJeG13dHWZmsRCQm+Oi1lOM4V2cFwR8Lmq5CPZ8vZVM2we00bAGukYYH++v4Il55BEchUEcTEwbMDddUDY1PK71AXYenx3RYD2zxcvncqEsm57e6dhcTd/5LrXtlFFYxs9eXa+SzsrHK/EIPPee2xYcK9WdFNaxAUHgq6E4NAdpgd0fLizHlUbYPN7mZFEG7qB7Em2IX0SmXgOJOvxPWKVJog+v2kuNbd3Uoz1nPAH8FlibUPyAl2SsA/TYyEmkQw0dK26p556Kv3xj39ki82yZcsoPj6eWXjt2LGDHnjgATrhhBMoIkLbDI5Eo+ewdQOXFRduCbBrWmjGMEu74eo95ayaBR9fpb/kfzYW0sZjtfTAqWOEeMVqgVcEO02uYI9MivR5FT3Q4JuIRp0CM3abLmPBDQKyU/7+PTvHP7xutq7KndEW8ecvNqdFHps2JCAQ+Is3d1G89w4kF3xrdWOG0A5aFJVtis426FmCtCWctYjbk1CdHpOfnkQkedKzzYN69XlWJXw+zuIrqqztsmgl7m8cr21h7cB6W5NFwKvLeueP3cHfFxcRMzvA9pVWBN8XiWgRhygsTxY7C3SxFiD5BbVy0aBCHmowmQMBSrx/OHuISBRvK66jG9/YwTqWXlPZUSWRSHQG2Oeeey4Lpn/3u9+xR3BwMLPo6u7uZlXt3//+9/Kz9VILNNtUHoHQmUXlEXywq4y+L6hhQhk2KxLMRdrsu7w/G492dtwEfalAa6tumlxFDzR4pQ6JB5xfWo+R/Zw01laNjgw+g+au0wFtj2hVRqDi2I7oLTE9rUAo55a3drKZvk9/vkjVz3y0u4xe+qGIFo9KpOvmZnv8ftt7t1qNmcGhyiZm0YXN1ngXAmf2ZFpgXme2AFtR9bNbyLn+bHkF25O/tVrFc1gr4eEPqvH9NcD25IWNbhaI+iFwu3lBjimdLWauWTxod6eFsKesgf705SFmbfXgaWN1PQ8S9nNz4g29h3VHqlkVf15OguauDVsF2xoQGwmwYdEINXiMpTjbK8EOEd1wvhQEdcft7+xkHYvvXD1DiK86xoGcdSdIJxaJxIQAGwvL/fffTxdffDGtXbuWzVuHhYXRxIkTWfU6KCiIBdtS5Ew8yERjDpC3s504KolVsfFvzjZ6vFqCCrbaDaAZQBDJbJBRfmVTEdsEXTIts88N0F7d7GHibx/uLqMFuQl0/hTz54b9GcwWwvYZSXtYA4VqHB/g7XhGPTFxvBDc48btLvh47MtDLImEDe9PZlosApWestfPHS5cpMwotqBKw8YPXu0HK5uYNYqq5+Dnt4kV7PVHa+jJbw7T8jHJ9OBprgJsc6xi3FHb3EEvbyoifAQ3zM8RMn+p7KCwWci5OS95RSvcQ7XQZtnmY10MNcD392h1iyFlY3/Gkxc2ki0f7ylnX2vxdfaX8SkEimhlhjCVK/DeYW9Y0xJuaHTEqC3dw58foOL6Nnr+4smaA+wnzppATR2drLo8JTPGkHgpkrbuLB7NKhJA7O4f644yD+ybFuhfw7D+IsAW1S1YYU2wKa//uz/YQ1/sr2DdkCIsOiWS/oihwRxUq5Vz2A0NDfTKK6/Qq6++Sn//+9/d+lpL9DEpM5aeu2iy7e+YB3ScCVRWqh84bSwTkkQG/q9rj1r/PfDmS9UAka5/rCtggcal04e6rhR0d9ORqib6/mgNDROQ4Q10MFeFVjhUD2pbOjXP5zuOLRjdbCLAdleBcCdEZmTzgzbun/x3CwUNHkx/Pnu80Dk4tR7fTmdwVb4Ob4xAQOwKuJvHNdqm74xb3trBkhO/PSnPaSs4xhswAoOEotEAG/oM2OArW7PVJEigEL/q2pnUxeR71QTY7j+fLw9UMnVlzJcbTV7phZ+DZ+Wn0fxc8/yafYUn9Xk+i4t7qVlJOzMdNtSMTehJ/pkBT0zpaZWPiwimOLKsk96aX0bRQmRHA4Rq4S6QFRdmOMAWmbCBRgFIVuwLkJRHQv6wVBKXSFwiRPliz549LLD+4IMPqLm5meLi4lhFW+Ib7AH2kF5tfXxGsL8G2GiDB642o8oKNvfV1avW2d/AvBYqcHqc9eytYsY/S3bs2txvNs2y0sLc3Z6yRvb1IFH+JhrbgpVwVXdX1lSOoKsFbfZm+vBWqWgXNmMUY/vxelsHjrugVcRzLh6VxB5agyCcj86EJh05a2I66zxyp0qN5/n1+7vZ15/dOMdnATYXdDplXIrNFrI/YVOfd3FcbUruJlql+VobJFRAQPbO9hI6UNFES0cn0dShrqu/qir5Pg70oWeDkR50Bjqz0cOM86ubjtM3h6poTnY8/erEkUJasdW086ttcTci9OlIRWPfCjZ3kJABtkTiGt1Xcnt7O3388cesWr1lyxYWUC9ZsoTOOOMMWrBgAZvLlpgPbkabi2pZOyZXVuZ2MY6BtC3wDvH+Zg1tpd8eqqKrZg+jU8eZY9/GW6JciW2hEvj+tTPZRvipbw6zfxPl0xvoPHzmON0/y2+2sQJ8Ynkg426TxTeC/HsdPb0xuzw2NZou0GgZptxgig5S7fZhPaZVsJ9YOYHMhgfY7ny24WxwytgUlzZeWsEcLA+uXSXE+OeLJQDfj5ZVkdiUvwVs/rHmhHlIDvFjP8jk4M4TvE2et833N6C8D1w5INjsmkysiqbHhNLvTsoTbgOG1/7yj4XstV/ipKPLca0zEmBjfvrrg1U0IilCd4DNx9n0vI6/fnuEXfd4n+/tKGUJqstnZukqJuwoqaeHvzhIM4fFOQ2wMTaA4JqPzNzw+nb65YkjXTpbeFuQzlZI6BRbwUbrOoev7QXV0gtbInGF5jt3UVER/e9//6O33nqLqqurKTMzkymGv/7668wDW2Iub20rpufWH6Nlo5Pp54tHsI0nxJPA+tsXsAqWslL91YFK5uGKmSJe4fVFBRtCOQU1LTa1UTPgN2ZXlU1sutOtFSa7UrAMsI1y3yl97fr0EqJi1pUnUpwdZyjqf7i7nJo7ujUH2MoKkujqeLCO+ei6Fr65959zFNVMkBjpOuCA+Nn9LgTQ9NCqmFV2tXYpk2rYXA8ZPET3mMDe8kZmBwZvXoxPgNnD49k8K3x+XYHkDiytoIexJC+ZjFBn7V5AgCs6WaAFvj6uPVxN83IT2f2lP5ESHUJD48JcjpZw/3UzvcgRAJ+Zn2bKPfffGwopNizIbYDN37uRyjGfYTeyt1DrD++MN7YWswrwyonpbI4Z+ZJzJqXrej3crtLV3iAnsbdTCRxboJdhFF4AMdp2rhyFE7nmJyjWfD5Gxv9PIpH0RfVdA2JmL730Eq1Zs4ZVq08++WQ666yzaObMmXTSSSdRSEj/E0DxR1DZwI2TC+ooNwZsYzlocK8Z7G3H6+n1rcXMm/a3J41i1W2lOq63sLUtmags7G42V43XrcQSYPhSHXVMahSzenG3MXKXSDEy/8t/Br9CeAXUpvCtvUXczM29GTPYolEKULkKhJTdDNig692kImF5+ctb2Ndrbp1nOw+xofSkTYDK1yubjrP1112ADSX2NzYfZ232V8wa5vR76q3JFQRHvmSIdS14d0cp3bFkZL8LsH+3fLTb/4foI4gJwPsE3BbUVETt4ys9utd/EcGhkS4R5XgY7gsWocweQ5+bq24ZzEj3eX434ytq4fc1XsnXi2iRyUUjE6mkvo1So+3rH1cUxz3KjI4hiaQ/oPquAestzFb/6U9/osWLF1N4uBSH8gWOis3KIAP/h8X5+UumsAUfiyD3wUZ1bkV+uk9es/L1mjlnpmY299l1R1kVHZVOIGewLfxv83GW+UdnxN3L8shXqLGJsR1nJzd1T6JFan6vo/WXCBConTAikUKDB1O3ytk4XL8QWVKrqAsV3k2FdXTD/Ow+M8QiwKa1pqXD4ww2NunY3GHjJaLtlVewsba52vxjg8eV8I0k8XiHDZ5La/WruV1dFQ9iRq9tKaZRyZEuA2xewfaWYJMrluQl0fdHq2nGsHifWiz6CtsMtomJDtjZbThWy/5Em7GoBGeTtRIb6SE5gOQfkvH4E2sgn0vXFWAbOEfUiv85gvZ+rDX8dyDJisYDveuAp+42HJ/bTsil5zcco5HJkWzNFRFg8/dttHvqkumZrPspO0HMHv2WhX3V8+Os14PFeaSTicxJJJLeqL5r5Ofn00cffUR//vOfafPmzXTmmWcyWy6Jd+GLMK+IoaKA4g1iA2RAsfiPT7Pb+ihtunyJaGVLZ/CWKGeBF+ed7aU2X1fy8XyjP4EqB1rjjtdqb3Vb+a+NLGj8xwWTVIk8GWXW8Dg2twjfVpGesvbZbvGBBDZrj501noKCBtNgldl+pVuAGsob2+lIdTNTgzcDrDN/PTeftUQ6eqIq2VXaQFe+spUyYsPovWtmCqtgu6uOYd0zWrnqNWPukEDAmoFxG6ynZ0xw3s7bqrKKp0a1mfvBi9A1MMKZE9LopNHJAzK4BnCjwPE2s6kH1dfb3raMeX33s/m6AlwjFWysTWtunW/ouUSMn6Gle35uAo1T7F/UoLyOcJ5a1u8u3cl8W4u4m04/tNzj8fSaIyzA5ro3RuCv16ig4SljzdG4UYIkNEsYBw326JogkQxUVN+9H3/8cbr99tvpzTffpHfeeYe1i+fm5tLKlSuptdX4/IlEoyWS4iaMBRkLvLPML7/hwctw/dFqVhFRBuDebxE3bzGekBZDz104yW0GmFXUmoievWASs+HxYTe0XwHFVFBUa6nsa6GkrpUleLzVJnb9vGxTLG+wT8DsbaB2NShV8s3aVM0cHq9aOErUOAiqUzgunoJN+OfCYs2IXzOvYGNMwfEcf+SLgyxp4CrA5kJsER6CjDAVlbq6Fv+oYAORVkT+BqzdPttXwWzIzp2c4fScN3scolcXWle3MMV4HihGemEkzJ5c0v/ap2XpE0dzDLD5GIPeGWSb2JiK+wAq/446EXq5eFomnTUxza/GMNBVgXE6FCIc7+9IGEskEtdoWnmzsrJYkH3rrbeyWew33niDnnzySers7GSt46hqQ0E8NFSbj65ERwVbcRNGxhYBNjbWqMBARRkVJmwE+Q1vT2kD3frWTibo8s7VxqtKWgkWaKPjCrTxwSfcHXzzixl2OTdkB+cFQHUSx0htmxprz7PGcyKqXA+u3k/fHq6iWxfm0mnjU706f5aTGEGf3jiHzKS7xzLnaAa2jaWJ15gagoPEBvp5KVGqjsuo5CjDz1XdbKlgI6DXWnXmQQbfdBuxbJuTk8AqiwjoJeYBheR95Y02pWRfoNQMEXntwhtehCq1GmzOJQKsGrXCBTGx/kGU0O7YoDPA5jPYKhITvIAhooKNRJaIZBaUvSE+hnu60rtaDwcqm5gmRUpUCH14/WzDr00iGUjoSm0OGTKEzWHjUVFRwSraqGyvXr2aIiMj2b/fe++9FBPT/3wzfY2zNlbl5q+kvpWeWnOEMmJCLQG29YbHWw595YGNgB+vKcrHoj18JpS3z0ksoEqDjR5P0qht9W5TZO5FtFbjuGBz4O74IJBBZQn7Usd5RRGWM2ax6OnvmNLtd3cuIU8GVhDC+u2He5m3tVoLNTP8p5VsLapj2gVj06LcBrOiK9jexK6YG6L5s3Vlj6hn1nRkUiR7SMzFU0IOc7ZYD+FdbtbxQFCIZC86NUQJU2n1Vb5z1W42WnLfyaN1jfm8fuV0ti4rhbC0grXlSFUTpUWH0ehU9ckyHkjz64pfq66s1zxx/dxsplczJsXza0C3E4QI/WmE4q9rj7Jxll+fONJpV4YWuNiiq04aPv/uT+9fIvEXDEc7ycnJdN1117HHhg0bWFX7008/ZVVuGWCLB16EEMdJUrRB/nRuNmuHSo4OYRtzEG4NJB1btnwVYF80NZM9zORgRRNtPFbDgpL5uYluA+zffLiXSuvbmFemxBKoImMPESveWqgGZZVARGujGiXZFc9tZIHQfy+byqqbSiZlxNKnN8wWbrMlEnxmER4uQ2zqD1Y2sYq3dnsWcyrkq/eW05vbSpiXvdsA20CbvhHe21FCxfVtdNq4VLYGGAqwHVrE+Vysu/OSt4h7DLC5FZ0gn1qJfjyNlKB9/EBFE5sNNjPhgdfR0t0j9Jo5e2I6zc1JUKWAvqWojp37WtZ+Je5ED9Xy6d5y+se6Alo5MU2T0Ca0ON66aoZN6OyBU8dQZ08PDde5BmAGXO0cOAJxUeKx6DzcWdJAJ4xMpFkqRnE8juMJuA/YbOqctMs/9uVBen1LMV0/bzhdPXu44eeSSPobQsuJs2bNYo/6+npp22USNy3IYQ8lSg/NHe0NvTZ5UH99+6oZ9M2hKnrym8Me5wMDmW3FdfTE14eZrYTLAFvx/g9XWZIREns2HgG2luq+XfnU0p5nFHul0PXmgFcmnFXMEaCHBOnb7O0sqWfdH7mJEXTn0lEkGrzeJuqyJCU8JAC4erEWD2yzA1ubB7YHxVhlVVCE7Ru8pV/cWEiTM2Pohvm91z4lb28vpd2lDUxjQm+APWNYHGvxnu4wD8qDYnedEf932hi2IU2OdF/FC7WuQbz642xUBcrd+PexqdHSStBEgjysN1wwUK2Sv16CFWNeIruS1M6P27oqfNh1otePG5+d8nrXUv32JzYW1NCHu8uZgKehAJuP4wlI4DXzMQMnSRr4luNsrbVWuSUSSW9M6deVlWvf4ahki4ptREi4TVjHiAiJv6PGpotX9oE3FK8DCcyvZ8bhXFGfhOEtjaKUt/nvcbfR4xswPusrMoBEJUfv7J4nbO3r+P2hg1VVDrSIXGEMA5szs5Joaj2wlecCAsggFb707ihraKPNRXUeFf9tgkMGHBNgb+bM4oyvKcjtIDB2JkSkxisb4H28eeV0FlC40jP6w+cHqbiulf510WQmxigxW3yz7zWP5BAXm4s1WWzOGy4bqp5fx9oHmyZYPGLW210CzCybLtG8v6OU7ZMWjEj0asdfW6eYe6m9gi0gwHYz9hJvTbTWWHUrJBJJb6RHUT/gQEUjy7TnJkba2xQd2nW5T6WvWsS/PVRF/1xfQPnpMfTLE0ea8hx8k8Tb/pxx/dzhrMqFtj+z1WEDjXtPHq35Z3Avz0uOFHZeqRGTsh/nwU5Fqp5dV8ACoDuWjNSsmGr5vYN8vomut6lIq1+ir5kznD30gsDxrlW7LfPfy/No6tDeVdwq60YqMcJDgB00mHWR4P2K6FZXq1DMz0Fu6yUS5Ywhzs0gA8JRqEwPT3A9hY/AzmYXJv1lTcWd4BwqyjyB6M6WTgQ3zs9m6w/EpETx4a4yth4iUMx2c74ZqR5zz3b4uiOxZyTAtiVXNb4GOF+8v7OUkiJD6fwpGfTlgUo6XtvChAK1tvUjIfjAp/vZ15/8dLbH+xrWSrRK4/z4wxnqtDI83dd4Bdro5yhinp9XsPlonRIuBAnPbYlE0hcZYAcQ2ACf/Mx6Fhg+d+FkppoN/vTVIebF+NBpY2yBNF8QkYF/+cciemFjYa9/9zYNbZ20p6zR1EoAr2Dztj9nQFWT3zQ9tbpKPDM0Lpz+e/k0YR+VpwAbGyC+b+BiWkpw/r+1rYR1bGgNsNtVnD9CNj4qNpAN1llIb/q0f3e4ir4+WMW+/vt3BfTsBXHOgz4PiSls1h9dIc7ChW+4PXVW8C4dvgbqobCmhXBaoc27l1ND0GD601njWau4qwTM3787SkMGDaILpmYYsteCOBV/zzIJaC6ouiKJEelEMRqBI+888aQML8JvXDRvby+h7cX1bI32FGCr6RxyBb/ejHbHhQbrC7DR6fH8hkIWTCPAhhbDuiM1LOjVGmDDXYSjRhwOiZkfC+uEJEb4Z8/HUfTCO4Z4wtgIze2W3+GsK4onnTBWJpFI+iID7ACiuqmdqYHDp1Hp0WgTN+rqUdzsrNWczm5bcH37olwa4SNlWm+0wDlTWDfS6irxPqlRITQ6Jcqll7GyldNZi7hthltH6dRdZVwEWhTOHRNl3uAba3AN0Cpf39phCxTRIYOKHt6BEaVgMyvYyjVPLz9/dycdrW6hv58/sZcvL/QFFo5wruug9FRGEhSaGJ6mT/71fQGbs798RlafdYjP/SJh4KuOo4GCO5Equw5CsGEdAV9g83NWsYbwZJIe/Qaunm/UYgozvXquX/to2CDDbgrcogu/S40yNrclM7Lm9KlgG+ygElnBhqDu8jHJzDnCkThrgYKvVxKJpDcywA4gYMEFsCFTCkrZVGm7upmCLmb24q1tnLyqA86fnGFadU79rJs5CsfK3+3uBoXN+vG6Vq+0/QUaz6w9wlr9oPZ+/bxsn7yGsydlsIcrlOePs0CYV7VR6YYCtxbhNVEbHFdMzoyllOhQVecdrltU1rS0iEOFF90qM4fH080OQohquGVhDp0yLoVufGMH+/uRqmbW8YG57sJayzWD16/WkgXBpjMrNa3wzSvfgHv2pNVfweYVLK2JDZw7XHxPzQw81Hcx83/6+NQ+ATa3V3ImLCTxQWLHCxZE+8oaqba1gwU0CR5GMMyw6cIeAtc1V+LWglr/d09E6rTQtK/blucPstkE9uhOSqjxwFYm/YysOa7sxvQCgTSsX2qV0N1x8tgU9nAGbxFHgC1CzFIi6W/IO3gAsbeskf3paE2kFCiBcJdSvEuZVcZGNcpXAbaBDLla+O/mN1inr8O6kQBS5Kw32FthU9aoaJNTo3z6x88PMLXjh04fS2aDe/iSUUmsCuxMaEpZ1cYGK1SDEJoakTwjQHsgKGgwxcdHUk2NewX7W0/IZQ8tQM0VYxgZsfrE+5CUmzEshGZnx9P3R2voxje2syrIWflpdNuiXHrmvImqN5JL/7qOddtAzMvdvLEa+Ey1xwq2gBZxHpQ4C5I/31fBRl0gguaYJFE+p5pAw93MawsPsH00ziOxADX6j6+fpdtPWQuPfHmQtXM/cuY4pyJ7euCBqprz6KlzJugOkNT6v3sC7g2/OnGkZssv3hFkq2Bb13w93XLcpgyOGmrg+yvcO1yJH6qlXdD9Z/qwOPYwGySAZw2PY2uhCDFLiaS/IQPsAGJ3mcWCa1xq78wkDyKczS5hXhCLPhb/9UdrmA2NLyq3IpUtXXHOJPh+xrsNnCEw9NH1s9gNwWimuL9hqyBYs/hqQMCB6qYIH1Q1oBrz8JmuxWSUc9lIuGg9xgjSAvW84LPBWoWKauEpvqmIteWfPyWTtegjwOYbvnd3lDLxNC2btiECO1aw78cx8VRJPG9KBi0dnexyvMATqMK4a81/4utDVN7YTmNSo5wE2PZNvpouIX6OOWstbfKxIOVAYtvxOvrLt0doeHwEE/ZTguOoRhXeG37cZndjGKk+OjqX6AXdMudNdt295AqeAOGBKb8H6EmM2CrYKrtHlNcoPge1P+eMJ8+ewNYffxpdw+vB5+oscYDj/ZdzJ/rkdUkkgYAMsAMIbO7A0PjeASS/sbV1drE2UVQg52THU3pMGLtxQigJQhR3f7CHfn/KaDp1XKrXX7saf2OjoFKmplpmRICoP8NbUrVUsNUIy2lhzaEqFsigevTgador4sr2bq2b1QumZrJHoGLTYtC4sSyub2U6DTzAvnhaJk1Ii6aNx2rpja3F7HugvK9l9jpIYEINnuR4IAB2B9Y7PPSCBCX/6JwFJWqqzmqDYvucZN/fNSIxgu5eNkpWsL0AKpZbj9f73BrKkx+3VhBc8nPZLE0JTmunc+cSb2GzbbSuOb3sEHXOYKsdz0BiBE+Lz9pogC0qsIawbWl9G7MkVfqD6+GmN3bQjpJ6evTMcbRIUGeFRDJQkAF2ANHhYhbRVg3p6GYzmGgTffys8bbNJtTGudKjr6oiaO/EzI6WmVKJ/1ew1QrLqQVBcVFtK6tmOIMHWa4qLvh33rEhQuRFJPd+vJe+3F9J95wxnk7Jcy+YBbssiPH9YslIVlFWA99Yak0s8LWBz9RhBhSbKTxwfN/bUUr3fbyPVTNOzEtWVeFXY7emFbNn/Hh7uKt10q2lU6e2eV2+hrc5sRRDB87Kic6FtyTeEx5EyzYS1hjJMkPlW23CRQ9KBWk1LcdvbSumtYerafkY1zO3rkDXCPQljLY2Y22H3z2SHuhEU/v7eEKRX596E40A1oTokIpW2SLOCxh4Kn+533xxoJL+8NkBZpVo1M1Bjb0r7rU4dmaNVkkkgYqMdgKI3KQI6urpoQSH9sQFuYmsRXd8ejRbXEGs4nuUVj9m2424YkxqNH164xxTn+P7o9UsczspM5ZyEo3NfQ5EePZdGWio3ciJEgbzZGW1v7yJLn15M5szfu+amU6/562rZrAg259a7UBnVw9rCeYtle5Axbi4vk1TsKx0E9DaIg7indjWnTI2hd7fUUrNHV0seYcNuKrXYqBNUy9Hq5pZB0RSVIiuLp1nvjtqmy10Jo5nPzd7DKu+c0siEerDEv24u2YOVDQy0UcEKmYH2PbkWI+w9/Wviyaz9UONfdahymYWYKtN5imJDAmiyAQxW8mb3tjObBgx+662PX/Z6GSamB5ju/YwKgbF//RY7e396NLR6pLw+U1zSQR/W3uEja5dOn2oTaRWD7ySLyJZg3Xf3br2q/d301cHKunek/Po9PHmXiMSSaAhA+wA4u5lvWfEnIlaoD0IKGcE7ztlNJ33/I/9fq4P/sfw8b1r6UgZYBuoYPM5NG8Ks6it5KjZNOgV+UIVBwEagkgzxii02HTxJIeW61WvPU11s2X0xNmmDlZV/7hgEu0sqWeK13y2WuR79cTDnx+g0oY2um7ucCam54pDVU309LdHaEpmjObjh2BqbnY8Uw9ePCpRs1cwXterGvzgI63HlW9glRytbqayhjbKjA1jHsYS38w+87Zxb2gy2AN9MQkXXKdwExGV2PQGqAajNRv2aKhiJ6mM9bHXUe531I6K+Rv/23ycaTmgeyU+wj/G8fgcP9rNncGvjRprklYikdiRPR39CNyc+cY8VtGKnZ0Qwaoy/T3AFj0PPNBAa3B+ejQTcfKVtRVv83M1E8lnenmWXiQHK5po3ZEaKqxpIVM30So2sTzw0qIkjUoVrnut9k61Di3ijkwZGkuXzcjSVFXRW013xpbjday61mD1JXYF16LggmNaeOqbI/TrVXuYTRI6YLS2vWNdHZkcyR5qgCr761dMp5NGJ/f5v1U7y+jmN3cwKy+J72afber1HuzhhAoUmuiy4Q4ulKrn+b8+UMmqrz8eqzX8OvRadYliS1Edrd5TTgXVzV5/bp6sNjpupXdUyBm2zhwX+0alVZdEIumNrGD3A1C1LqptoVrrBhTrK+aulcBzVY+/qyjQhvrrVbuZN/E/L5xsynOIngceaKCt/t8XT9G8IRoaFyZMRdzT7G6HtT2Xf58zXthwjKqaO5ift5ZqNp/ZM2uWTO2cJdru+YZfS0IM1WY97Yp8cyTSXWBSZgxrORfxO+02Xe4/Cz7/zEWXtMATGq4qNb1EzgRsXN1VprW2m0v0467rA6KhQE2LtVGgbZCTGMm6L0TtCT7YVcbW57NUzPN7Smy647sj1cxpAJ+lUXsofs5rtYrcVdpAE9KjacaweNaNAuE63JfmZCdo7mJavbeCbjshV3UV/Ok1h5mFKpwWkIzUA1rDuQe5u3ubN5ObGO/h54OrtYiPFckKtkTSFxlgBxDn/vsHtvl65vxJvdQhYb/1u4/29tq8KWcIYUWCG/fO0gafbdq6ySJgwr7u6XE642gU0fPAEs+cPSmDPUQRqrJF3F0QvGpXGR2raaETRyVpC7BNPn+UfvXuUM7leqPjxO79Ku52cPuiEcJ+F/88PAmIhRuoYNsrNa6f4yczstgsrrMOD6yxPxyrZf83P9e9gJ3qYL8fdxv5C7jWoUvi7LNu9WKL+NycBPYQRWVTO/35m8MswaUqwDbQos7biLV2zjiDHwc1OhXK/Q/0ITC7jAD7x8I6evyrQ2w2W2uAzTsA1fpgg91ljax6b2ROX/m5i6pgG00EcmcENRVsLpQpkUjsyAA7gChvbGObR8fuWMeNZ25S7zZFCJ6hMnPR1KGsDdgXKG8aEHsKsbakiUT0PLDE+4SHDGbJI1eVT1uV2U2LuHfgc6IAAHcrSURBVF6LqA6Tzx++8fFUJeKbS7wNbySLbl+US5fPzKJUnf7RZqPWZ1fP5lyLWu5kN9UptJb+Y10BnTE+VVWAvaO4ntYdqWZdIyc5CMdxZfFA9WMPJJCMXnPrfKf/580ZbNHwgI23nnvCpi/gRMBPtbWVgOS9njEPx/fK7w16kgVafbCV+y++huhBeU8QVcHGPssIPdTDkhQWL2zn55GsYEskrpEBdgDBA0jHGz7fFKbHhNK9J4/uE3BjBvvJs/PJl/Cgh2dWjd5EfFGBHAic/a+NbJzgfz+ZxuyCvE1mbDhTAXcFn18OdnP+2Fuxe/zq/EHL4tSsWBruQeEeSQRUBtDkocWaqrS+le77ZB97/0+do/56x3H2xbHWuvn0VMHmrbx6Nrq8Cqe3w6fF+hrVVp3R0vrc98doaV5ynwBba3AkMQd754T5nQQVjW1UUt/Grvssg97FevRI+P1YT1DaxDtgBATY3EtbS5LM8b3y9V+Pg4GtmydE/dbY1jljQCCOf+645JV7JT3AnvXKWVmGiykxYcH0f6ePdfs9PBEuK9gSSV9kgB0gdCpndBxumnxjiYUZc5j+iLIqaDSz6ulGK2ew9YPgGm1yamfx/vV9AfN2PmdyBp3tBe/ehMhgmp0dT3nJroXYeICs9IL1hwr2ivx0OmdKJsXHR1JNTZPbDZIeSzu8/k2FdUIqSUa5/5N9tHpvOd26MJcumJqp+/fgGPKNsqdKYrg1EEJiBWulWsVztRXsfeWNdKSqmXISImi0Q5t4q4oZbiU8kG/u6NQ1BiExn9sW5tKVM7MoNkycNoEr3t9ZSn//roDOyk+j35zk3C1Enx6JumvgjAlp7KEnuONt1ZEaglJ3ayTW93wNCui2xKj1tQfxFulOIxVs9WsoX5fajFSwBV7zGIu6cX4OeQNYIs7JjqcUlZZqEslAQgbYAUKvGR2HjSbPsPuzpyo2u7jvIYbR2rqrll+dOJLq2zopV3pg6wbJiSbqUi2QUlLXRvsrmmz2cGaDGTs8VM06a0zkwGPe8vOBWTnUO3v34sZCVi0/Y3waxTnxwtYDdBbw+RudA8Q8MoIE/C5PiYOosCD623n5LEjWIvGA18pbUt0F2B/tLqNXNh2ny2dk9QmwbXY2KgWxeLWPV/+cV7BlgG02+Kx/8e4u9ucTKyf0GkPAtSDqejBzBtp9N466c8hI1ZQrfmsJSl1xwkjt+gV8bIjvi2yfpZ4Ktq3dPUh7gG1g/5UaFUpvXDldV9XdLHhBx12iEh1nWrqlJJKBhAywAwTl4u140wy1buoqGtuZX+2EdDFKpKLB6+7q7DbNisSogqlEoeKt8hjxZInRtjZlxfLy/25h1YcXLpmiS3hLr03J0+fks2ArUFGqx/b09KhuL//3hmOsCrVoZJKwgMKd/ZHWNsXvblvAzgdP7a44Bz0lX5yBfeStC3OYWrm7880+p9qlqwLuvILd93edNzmDzXE7BvES8UBsEyJZPEHtac7fLERdL97qxnHWVh0poIKtB77OBw0ebKiDCWu/rd1dTwXbQICN449RPhHgfR+va2UJ49xEdbaBrtThkXyCQO6zJjm/SCT9GRlgBwi83QnZRMdgJjkqhKk8YrN2uKrZbwNsWIcFd3STSQVsiQBCNAan7dw2S9BGDuf3gYom24ZFT+eZPdDUfqKZoW7P+XRvOT321SGaNzKJHjhltFvBrL9/d5QpUmtR4+4lJNjdo6oSjyqFHuVcb1fkzNBs4GA9hc+32tfgLAhSUwFXwr+PV76VLMnr640tMb+zyjEge3NrMZU1tNHysSk00kE41N99sLXO8R+sbKLnvz/GWn61OgA8f/Fktoaka3BscKcjgeAQ88MQANSWTBhkqIMJudU/njmOtYlDGFYt0IbAU/tL8bmiqZ3Off5HFviv/ZlzAT818LVpiIp7O+4jgzVqhkgk/R0ZYAcIWLfGuqhoRIYE0VtXTWcL65gU/616fHT9bFN//+o95ezP+SMSfJZND3TsmxN1G71Oa7ZEVFs1btC8JdjZa/jPxkL69/fH6IwJqXTHkpFOf8evTxxJt53QTYmCvLlFgaAXfqGe2ukheARLO61NAcpjgE2nmlhPKQgWKfCasbere3fX+cGuUvYZnzouVfjxd+djrrWCzcd6zOrmkWirHlo6q3qfqx/vKaftxfU0Li3a9ABblHexUvH+L+fkqxbtw5r06b4Kyk4I1xxgq/WLVgO8u6HGv3JiGt29TN0s+i0Lc+iy6UOZiCRAYvJPZ42n2LAgzcmWJaOSNL/m6+dl0w0GZ56Lalto1c5SSokOpXMM2l4q7SC1dDI5wrtrIj2saaf+43vWPQlxUqV9rEQy0JFRSICQHBVKL1461eX/J0WFssdA5sFP97M2v/eumSkDbJ1oVeA2Q5AJlcL2ri6nIjUIZHDj5/NhztCriP3oFwepurmdrpubrbp6YooPtrUaqrVdVXkMLBWsIapFfRAQi6wS26xiDLaroJr/4g+FNC41mq6dO9zj9/9zXQEV17fR5MxY1QF2Q2snHalupoSIYGbbpGf04M6lo6imuV21ArS7ttJdJfWsooqgTq+quUQ9OK64DByPqzddKdwlb/SACvCsbPUJJn4+6hEGE4kemy7WWp3Q+70vHGHMi97bXU+FtS307w2FlJccaTzAtmZmcYfEOqLXEZX7YHsSbhzkcC+RSCQWZIAt6TdImy7jjEiKYJl8jBz4ynvcstnscrrZNHO2cP3RaiqsbaULDahei2gD5dVQT7ZUjuC4QWQLf6oVy2kUqADsbJNndMOOys7aw9Wq30+ojsrwztJ6uvWtnTQqOZJeuXyaihnsvr8blRst1Ru0075w8WSnSZS7PtjDLJvw/+P9dNynP8HXG8fqsTfnmPXODYtCr7XhvrJG+mhPGU3KjNVV/XWEiwTq8bI3SmVTO20urGVt8lOHelfPxTZqJSDJ6ZhoDRo8xFCLuCdxyUjoVjS228TuJBKJBRlgS7zGHz8/QMdqWpig0JjUaKG/GxVNvjeQ9jb6ue+UMZq+PyY0iFUK1bbGGq2mqFHH/fZQFe0oqWeWdbOGqxe9MiNZoKuCzf13dXyma27VNnPXZK06iLb2QiV4WlasYU9fngBQ60urR0m9rsXyGXiau3Q3g63nHHcVPJt9Hkp6wzVNHN0tvJmwHZEYSdfNGc4slkRwoKKRdpQ00PB4XIdxwsUtOVuP1zFl/eO1rYICbKsjioYKNtT961s7adHIRNa9hI6UNYeq2FgdRkW0JAt+8+FeGp0SRS9f5rpb0JHNRbX06qbjlJsUSTfMyyZjtmrGr3nl3D3OYb33Zt4i7unn+drszBFBIhnIyAA7QNhaVEf3frKPtQ1ivigQ2VnSwLxk4bUsGmV7X6DaLAUiD585TvjvdCdSo0a85/ujNfT61mI2e6YlwDbbHskW/HWaU8HWg93DVmyAfdr4VPYwilZfWj2trnwmPs7DzObUobH0+1NGU2p031GcVzYVsT9PH5/KlM+NIG26vAvOGVybjmMn3jwO2YkRqkYg1II18Kk1R+jUcSnqAmw33RnuOFrdzP4UNVJjbxFXH6y99EMRE2nDa0CAXdXcTvd9so+iQ4M0Bdh6PLBBZWM7fX2wigX5ehF5rilttYxoYPBj4GlMJdL6eXGLM4lEYkEG2AECFq/iulbNwh3+hH2GUbzwkbKFVPrHBjYIYNAq6Uzki5877lrpgvh5pnGzyH83/3nRqFXW5tUbkV0BrpiYEcPs0AS5rAmHb3qxWVYDPy+0BAq11gDbUwUbVXlXM9p//fYI28wuHpWkKsCG+NDLPxaxboVLpw/tdax5ciBY7/CkRBMQZ3ImBMV9lIOt9k+BhNb2dlsFW6MwVo312oFGjK/U1B2DU702jdXW9xIfrk0ckY+lGLHp4j8rokUcxw6fAc4BIyMHOQkRNDcnnnVBuCPMT+b3JRJ/I3CjtQEGz0TyCk0gYsQ+yRPKG7IoT+aByGNfHmTZ+GvnDKMV+ek+eQ1/O2+ix+Ps7hjbAlmNvilmV6zgsTw2LYqGqfAmxXUeZp1H1ML9n+yj8sY2prCuxlcVr2l8mthxDZHYq0pqW8S1t3HXWStPWqx5lGBjyddntZ0A2AQjKMePrZiQ1ivAtrUmB2BgF4i4Cia9mejAzHFRbSv7emSyccVy+zmk7rWHWq+bHg0Wf8prJ0ZQ4l/P9evYys+vG80BdlM7+zMxUts6wANMIwG2Vls1T1w4JZMdSyO+7hdMzWQPT+i1RZNI+jsywA4Q+M0+kKuzwS5m3USg9MKUXoz6aWjrZN6vatvdfvneLmaLdNeyUTTCZCsbACGpSRkxbpXC9VYwzJ65xOfzyk+mU3x8JNXUWLy+nXHbolz2QCVJK1uO17GNuicrMLOB5/cjXxxk7alGxggarXN9qlvEeaurphlsawXbQ5CASve24/UUGjSIZmfbZYuVXtaRGsTiUPnCnKNyY67Ukgjktb4/8NyFk9mxyYw133oIrdaXvbyFUqJC6EMBdpY82FFbEcX19dXNc1mwpCVBXW+9dkQF2Fjfb16QwxT91WLrNLBeL/y6wUeA60nZMu2OKluArbWCzQPsLr+oYINbT8glbwHlc+wbYDEmkUjsyAA70ALs/lDBtipmigQ3+IdOG0Mai5YSgxWE3aUNVN7Y7jU/32vmDGcP0Z0S/iiSpydRxKs3alW3fzhWQ3vLGik/PYZ554oCT4/qFjZeRmi1blrVVrCvmTOMzpuSwdobNfu9eqg+H6lqpjve28WCgLeusgfYfPaQK7hr2ZizAFtxnvbSkpAt4l7h798dpf3ljXTZjCyaorgGMBftTS9ukeNT3B4vSGUXBNYatdeYEn59ixpdS48Jo5/MzNL0M7ZOA2tiVDnig+tpiEoVbcxug8QIjQF2sPEKNvQqpg+LUz0K4w3UjgpcMWsYXTHLKy9JIgko/OdqlriFb8ICu0XcvAo2WixPGpMi/PcONLT6sZphZfP0miMs8LtiZhYtyUv2Spsh4qJ1t81nP8OtYgIRrSra3x6qplc3H2ebWpEBNm91NDoO8uTZ+WwDrTbXoMed4JSxKTQ2NYrGpETrek92oThtt1NnXtjw1EUFD8ePz3ZKzGVHcT1tPFZLy8ZgrRF3DfjSB9ve8WZuezvvdIo2KOxnBJ5M5J+hsvNDTaIRYyhIFEBAdt2RGgMVbP3HDt7deIgC1Xi8HnQC6G0Tv/A/m6i0vo2eOmcCs2GTSCTakAF2gNAvWsSHWCo8PrL6lKhAa3u1SHsRTnFdC+0pa2S+pHqwB0I9moVhzNQVq2lupyte2cpm4z76qes20Ce+PsTs7K6cNYyJkJmZXODepaJVxIMEzuWZ3bWjNjHHP1vHjbRe9WFnraV4r1oreBJjOLtmEJj9+/sC9n+XTBtq+jlo88EW1IKlRgzSmf4GAmbYaCapFC2Db3x9awelCWoPxrV1qLKJVU/VesA76nIoK9ieEhYY+7j85c0sIH3zqhnMcmxEUoTXA2zRXP/aNiqoaaF/XDBRt6c3EofosPGXji6JJNCQAXaAgA0w1BxFqXX6ArRwmzUfXdvcQZuKalmL1UwN1kwSY3YtfEMocm7ZnRL0bW/vpL3ljfS75Xk0L8fepqvkxLxkFpjG6RStMguc+3ACAI6WQEq2FNWxBMPZE9NNT5Dwz1h0Z4yoCrZWdpXUMytAzLuLrrq48sHWW8HWo3guEY+zawYJ7X+uP8a+vkiF0JPx16BPxdsV50/JoPm5CaqEDjmf7q1gquCXz8xSHWDDt1uUdzcob2ijn/x3C9vvfH3LPFU/8+TZE9g1GW+tAKMLBHsNfKaRHq7JLw9UUkl9m23dff/amZr3WGhrX/uz+Ya6BdYdqWZjChhRELFuuVqrdNl0ecg6v7DhGL2wsZDOnJBGP188QvfzSST9DRlgBwhnTUxnj0DGTPGxI9XNdOeqPdb5yBmmPU9/x24l5fnGjI2gff5NXIBmVyXtG3hgA4hqQ7ebABUtflrb/FDJQAUH7XS/PSmPzEBZ5cd7C3ZxPcC6Sa9Nl9YKthkt/r1fh7Hg8Vfv72Yt+79YPEKV/RU2zC/+UEQXT8tUvVE9WNFEGFWFmJW7RIOrNt7JmTH0zwsmabZ3s6kPW23ZuJr04apmpiCfq0JtXmIcZ9eM8hh7o4LHg7Mea/LNqFVgXkoUe+gLyroDZsQFzBgWr7srpaLBElwDaFFo8c3mIKCH8KERvj5YSe9sL6Xr5w4XEmDzar7eY4l7O08chnvobsKtmFe7JRKJHRlgS/oFZrQqD0QSo0IoJzFClVUJ9qN8S6rWDkaLErSz9mKzrLTQ5rt6bwUL5swLsHuL7wS7mLFts25U9Nh0YYOKp3FXIXd+3YhNfumZg3cEyZuvDlSyr+9YPFLVz9iCYA1V4Vvf3kEVje308qVTaXRqlKqqvLLKiMBfz/z6r04cyarXyipjUV0rq+Ch++KzG+do/p0SMd0W3D8Yy5oW4Tq9KIN4qGL7YvyeJ5fUXjtIdL625TjrGoNAnOh1Q0QlX62wGdDaGi6SdsGdRFoS5c7Az/F7iKfxIb2uHRJJf0cG2BKv8dHuMvpyfyUtHJnI2olE0qmw6ZLoB23JaluTsQmFeixuxiJnFEPcbPTUeNNifvmL/RVMDfbM/DRtM4smJmiUG3W8jwgXu2hewdYjTvPEygmsoqL9uhH7vjGPPC4tmtkOGW1RVFNFMdIaaWuT95DQ4J8R9p0iqozOBNnMtoqTqFPw5sk9b82fYt25bPpQdty1XL+u2HC0hqpb2mlSRqzqFm6t40HQyHh+QyElRYYIDLDt713NNYaOjw92lbGfw56CB+TfHa5mSdPZ2fFu/e2rmiw2Y+h40VO95vz+k33Mrg92lXpGk0Sfb0aDXmU12tN9SE9SUyIZCMgAO0B45ruj9M3BSjYPtiI/MFvF0fr4zaEqoTNbfYVOZAXbW+DG+/lNc4X/XncBts3z1M1xLqhupr+tPcoCPPUBtvX8MXFDjc0fqmXYTPH34S6w5C3EWtC6OefXjehAAu3N/7lkiqHfwTf6SEyo9ea1BQkaNpbYpKv5vCNChtCvTxxpeQ7F5wwV6l2lDTQqOZL5fhvBjJELiXuctf57O9GBc1ykd/ELPxTSj8dq6cFTx6i+33L3BKWvuzvs3USDTBqj8VzJRxD98BcHWaeBcl/08BcH2Gz1C5dMcRtgz0EAHhbEdDuMXHNI6LZ0dNMtC3P0BdiCbViNdhDxcwAVdU9rr+1+LchiTiLpLwREgP3ggw9Se3tvReFTTjmF5swZOC10ZfWtdKiy2WaLEYjwNmIzWolsN3vpHRvwRIUMofjwYKebDTUt4vb2OPXnmRmbRVevrb2ry2W2H22RrdaZXL32KlrAbHNda4dfzvvyAFtLosFdcsYZqJLxjWGYh908Nq3nTs7o8+/rj1YzQaxzJqVrCrC/P1rN1nQIGyEZ1LuTQlawvcXti3KZOJPyI/dGR4uZdOpIEHCNg3qV3vVmJOeUCU7Lmuz+mrQlXB1egy3A9LAOOLue9QBLPQTYvPtIK6JHddzpmKgBWzVU/4eoSNiKtpiTSPoLfh9gl5eX00svvUS/+MUvKDra3lKXkOBcQbi/0tYZ2Dd8UcqWHsWaZAXbEKjGPfDpfkqPCWUexL4A7YauWg75cXbXOsj/T1uA7Z2W0NykSGrv7nFZaUZQiesEf+rx4357ewmtP1JNy0YnqxL60SqE5E30KJzb5/e1qajrnXm3PJe+tfnjPeX00e5yZotkC7C7ZQXb2zi75vlxUNs5IYKS+lZ2PmbEhBmuZOppOY4Js2wH1SbxO6x7EqEB9mC0yFvGMNSs3/aOj0HORb6sx9FsjFp1idaQQWU+OSpEk4q8krSYMHr6nHxTkpoSyUDB7wPsAwcOUGhoKF1zzTU0eAAHT7YF2GQ/TjMx86YnZxfF0N3TQ0eqmm0VEHeU1rfSfZ/sY5WPR84cR94Abbh1LR2sXddzRl19IsdejTF3Q/2fy6ZSfHwk1dQ0UaeTDQmq1rB8QduyHsGbA+WN9PXBKhqZ5NuKNDy/IdYFG7cPr5ulS6yI+0Nr+Ry0Wl+1OnhQe2JzUS2rVE0dGmtTebevPYONq1f3g0RqfwCByQsXT+41CmA2P3l5C3NJePUn0wxfv3rEIH++aATraIkKDfLpmnnN7OFM1V9NB4+rkSG19wDMkaNqjPdsZPZdq0CcI6Kve1GVeTVAEHVSRozP7zkSib8REAF2dnb2gA6ue83oBPDGyy6GIb6CDRXf352UR8nR+kWVJJY5U8AtOtyB79lUWOdVv+m/nTfR4/fwDZ+aJIGW2W5vorc93Ba0qVQR/2BXKWtJXzwqSbO1mTuwWeX+stjj6pnc4O2WWgJsWGY9euY41e+Ft+PjOdRssH/13m6qa+2k16+YztT2e6/Ng4TN/soWce/x7aEq+mRPObuHnGcNTJA8GZ8e48VXIVaN2a4pof6cjIvQto6b5ehw7dzhml+DY5Cv9h5w+j++Z+vTR9fP0ux/7byCrc+q6u5lo9iozgg/HNXxxNShcfTcRZN9/TIkEr/D7wPs/fv3U0ZGBr3xxht06NAhyszMpBUrVlBMjHdvfr6mP1SwbTc9EyrYqDjobYeS2OFVOTVCN2YFA5hphTrt2NQoun3RCAPzZ+oTObOGxdHnN86x2Y4FKlr9p//xXQGVNrTR2LRooQG2cp3CawkarD1hgCrxt7fOY1VwLa2NeKglIngIXTV7GIbfdc822uZ1Na7NzgIqrGF4PWnR+jf7Em0U1LTQp/sqWDDKA2xfILLVVu/Ygp7nCPbhnsTVaI+aewDWFf7fRj8nm6e9zmM3MllsYI0OKIhl4pyKDNG+zf94Txk9/PlBmpeTQA+dPlboa5NIBgoBUcHeu3cvq2InJSXRqlWr6Nlnn6VXX32Vhg4dqut3BvlBkDrEuqDzPz3BN2Gwq/GH16+HMGt1lPl8Buh78MWx9yYx1ioGqoeDBg9y6wHbrdjMiDyeDW1dtKWojm169Pxefp6heqH25/F9YSpbI43wq/d20cHKZvrdyXk0JbOvd/IPBTX08g9FNDEzhq6eo76Sw+FWU1096q4xHrziMxN5DMMUp03PIP1rbrDJQm9JMaF0iwb1Zh4E4dzn76nTGpyHBrv/DB2ve3y/rcJv/bkx6dHsIfEe/JrBtcCPA5wIvj5QyZI1y8d61jIQsebbbOAE7FF45VbLdb2vrIHe2lZCKVGhdI2KKvLCUYn0yk+mWZSmBa4dhTUtzCZqWFy4R3u+bmtKNMThNdivU9frYIciiRwRGmToPfCOI8e9ja/u9X/7+hC9uuk4XT1nGN28ULs6Pd4HOtRaNdxDJYGzz5N4B78PsC+55BLKzc2liRMtraFXXHEFnXvuufTII4/QU089pfn3DR48iM1A+gsxMeGqvi81LpwqmjooNTHSr16/Fi6Zl0sXzc1llRs9M5nuOFzRSMeqmykrIYJGJPuvcJOeY+9NwqPs1b/QyFCKtirLOiO0ptW2iRN5TsbHWj6XnkG9r9Wmtk5a+vg3bCP62c8XMuVWV+/h9evnsI2fv10r5U0ddKSyiboGO//MyvdV0ppDVRQaGqTrtcda2xwHB6k7JryVPCle7LoCNXRc4og9cTzio8Vb8zmjpqmd1hyoYOfIqSbYGfLkTWh4iP3zso4V4LNX8xny6z4m0nKsBvnheTqQiIu2rsOD7cfh+6J6+vPXh2lGdjxdODfHK2t+uLXSGKI8t3Ty0NkTqbGtg8YPT6RYla3fbRXN9MaWYspLjaJfnuZZUyOeiIab4Bi64p8b2b38rRvm0rRU952K00KC6bnLp7MkifIzu3HJKDq/sY2mD0+g+HgXnW1NdmealKQoQxaN/7pqJlPcRgcY9pha7/Uvf1/AHA3OmJRBCQI6iaKta8uQYH33keBQyzkTFR7s8ef3lzXQJc9tYKNin/38BJ2vuP/ij/s8iXfw+wD7rLPO6vX3oKAgWrx4Mb377ru6fl93dw/V1zeTr0FWCxdefX0Ldalo58RcIQcCSZLevLLuCD23/hhdOC2Tfr10lF9/PFqPvTdBYITOVVTVissbKMVNq2p1reU6wveLPCfbWiwbn5a2jl6/F8JZJXWWoL6xvoWa3SRpRsVZXrfa17WpsJY+3lVGY9KiTRWIGWKtuNQ1tDp9baXVln+LGDJI12fa2W5RAG5oblf18+3WmcGWJrwesUkvdCCgZbKiqomCdcwmbiyoofd3lFJ+RgxdMDVT1c/sKqmnn/1vK2uxnjPU8xgRfHQrG9spKnQIJamYweSz5FW1zVRTY0kaXD49k04enUS5SRFuP3PH676rw3qsmuzHqrq5nWqbO5h3r8iWfYlrOtos601Tq329qalvYX8O6ukRsrapWfMHW9eG6roWw885Pd2SZO5ua6ca6/vzRHKoJcA8XNFE5ZUNPvNi5xNH1bVNVBPj/hrAt06zvlflZ5afHEGEB7k+fuUNbbbna7AebyNghWvXea9/9JO9TNthfHIEDRIgFtZtXVvqm9p0nUu4P4Germ6PP4/3VtHQRh2dXXJvGiD7PIl+cEzVdiX4dYDd2NjIKtWXXXYZjRplD5oaGhoMzWA7U+/1Fbjw/On1BCptVrGioEGDAubz9Ndjn50YwWbb2jq63L6+VmuLXdDgwULfB99gIThT/t6WNsvzoW29u6vH1h4ogv1ljaw9cklzB501IY3MVtJv7eh0+plVW6sqMaFBuj5T7lva3qHu3OIzioN7xK+LeK9t1vNEz+8+WN5IH+4qY+fhORPTtb1/ldfW+sPV9Kv3dzMVXDVCPVwEr0XxnnITItgDqHlOft2fOCqJxiRHsSQW/7m3txTTX9cepdPGp9J9J4/2+LskxhnCwjTL7DM/Dva1Tez9xN2aH2xdG9o9rLtmkRQeTJEhQ1hr8KGKJo+q0NuO19HmojoanRJFc3MSxK+ROtcNtTRb/b7RTm725+3quFs6fQbZBB1DBJ1vgzXeBxzh5z/WU08/z/vIHO/XEv/e50nMx68D7KioKNqwYQM1NzfTY489xv6ttLSUzWFfffXVvn55Eo0crGyi/2wspKTIEPqZhrlHf7JZGgj87yfTVVt6QeAsVPBnzoMYRyVsm0ewB29azFK+ubWY6RZcODVTVSXGWzZvXEzHlRc8qhhKT1qtnDMpnVZOTFfl34vjh7ZEs943NugQ2tFrJaxU+Nb6+Wq16VLrgR0iUOl5aFw4eyjh57xUEfcezsTmzFLIdseSvGQakxpNQ60jMnpB0PbF/kr2vuZkJ6gW30OgNyIpkrYX16sKsH84Vkv/WFdAKyemCQ2wtYhUFtW2sNebGh1K07LibP9+sKKJjte10vCEcJfipzZxQgHHGCr0GwpqaOGIRObIoAa87tvf2Uk3L8ixrVdcLM0ozhwKtGBfhzy/Hj22mBLJQMCvA2zw6KOP0o033kjnnXceZWVl0XfffUczZ85ks9gDiZ++vo1l2KHomK5BJdefgH8xbkQ5CRHCA2wu1uSrtraByAkjk+i72xYI/72uLFY6uFeop01ITw/96atD7MsV+WkqA2zvnD82pWAXGx9cIwAtwnrQ8vqVQb4Z79uodQvfdLqatXcGD0zVbix5EB+m8jnOn5JJJ+Yl0yiFzsNXByqpobWTZg6P06Rg7gxfBHYDHT57q7we+NfozvEWSAaKAEmzuz7Yw77+4qY5mtTtRyRFWALsqib1SUnBn1GIBptFiGHev3o/zc2J7xVgv7blOL27o5R+Om84XT3buWBbePBgOmN8qm5LRCU7S+rpg11llBwVojrAvmvVbqpv7aT/++yA7d+0rHVmWr5pSTjz8wvnHR7uhFElkoGE3wfYEDdbvXo1/fjjj1RVVUVXXnkl5efn00BjV0kDayPiFadAhFfVeCVSJNzaxFN1U+L/4IaNqqVj0GfvUnC/ocMNHmdBj5tKsa8q2DYbLRcV1rqWTkMBthbwOT159gT2GYnYZIpGjw82/168J1ToPXlba32OpaOT+/zb8xuO0Z6yRvrzygmaAmxU3zYeq6XEiBA6YWQi+7d2axJJJgq9x5zsePryprm9rn27LWbg3U+UlUStiRruw4wKsNrnEX2uBmmoiLoK8tVUVXGt3iNoDIMHxlpsupy9Mi1rnTq7Rn37RXQETMyIoUyHDhtnKM8xHI8hOiwZJZL+iN8H2CAyMpJOOGFgqxPyG4moBTjQfT5dtjQF8OfjL9y1ag8dqW6i356URxPSve83PzY1mtb+bL7LY+wpiYJWR2yWsblSm8HX0hJnBIxHDEuIcGk/w1uWY3W2iO8ubaD/bT5OQ+PC6Lq52R4TXiJbO0XTZv0sNLWI9/Lf7qFQDwES/GK1tIiLHE/BsfrDZwdoWlasLcA2y1te4j4YcQwSbR1RXqxgQ3AP88+Yg44yYBmoXPO0KmNzP+bq5g7VzyM6CaFlDMNV5xE8zdVWwUWgxwf7/04bS9e+tq3X+xZV/c1OCKdTx6XQ+DR9ln/nTMpgDzUo1yqshf6YrJVIfEFABNgDHdzseSIykCsbfLPCNy8i4Tdjb7b09VcKa1voUGUza19zxzcHK1kb3vSsOLpkuj5Pei0gIMxNjGBBqidwnbR3damvYHd65/y548SR9NC5kUxt1ZnwySuXT2NBn5oZamdUNLbRx3vKKT892mOAbTYQDztQ0Uj3LB9NU4b29fxW3yKuoYKtWB+RyPP0s7yCrbZFHB69FU1tbEyHj+roneW0zZpaq9a9dAYCeJ3vD5wyNoUmpEdTQoT3lNwf+/Igfbi7nG5dmEOXzcgyfC/EEqJ1HclPj6FPb5hN8Sret1ljNSeOSqaRSVFsHtzja3ChIaGmgo3gu62rm60ZRiy6AF9n+HqiBkc7LlHt4WDGsHj28AZICkDoDscggBssJRLhyAA7AFBmcgO5gs2zynqFN9xx5oQ0mpwZS1NUWPNIxFQQjtW00NrD1boFubSCm/hrV6gTYLNs+rpUn2uuNmq+wEgFQItAECpmn++roIiQIXTSmBQSTVlDGxXVtrLn0YOeABubvd+fMpr9jJqf01rBRjv4ql1ldOP8bLpy1rDe4yka12ab1oBiZIYfNzmD7T1K61vpue+PUUTwEPr54hG29mGj8/QiZsH1YF/LtO8V0AESEqQuqWBroxccYJ+Zn2ZYs0DNDPJ3R6rpjvd2s2Tkvy+eQkbgaw13M1FDgsKf/ImV473aLSESdIy9fNlUX78MicTvkAF2AKBsqQ7kyoYnBWUjoNV1bo7wXzsgURukmdVGWd/aQfd8tI/pDTx9br5BoRx159r1c4fTJdMyKTzA29u0iNtUNLbTQ58dYO3oZgTYRhW37142im5flKtp7AObvVPHpar+/imZsazqMikzVveYi61FXGO10H6d2X/XnOHxzKJtnM7WTol2Gtu66L0dpSzg4QG2LzCq/MyxJXxMThZ6S7dCzWvgyfu+M8jdHhN4IsbK+O/gYy2eQNLxZ2/vZF/PHBbHOgdE6m5AfwLnAdY2JFC18sfPD9A3B6vYffEslRaJEomkNzLADgDaDbR8+ROu1KEl/poI6fbJRg6bAlQXgF5VUrtQjrpzDTOPRuYe1QL7MLTVLxmVSJdPz+pT8cXGBgIzdy4dZeqxU36P0fZIsypyqOSbPc+3aFQSe6jFWeup3hZxZwnH5WNT2EPiPfj6pVwrfjxWS0eqm1mbODQhvPk6hFWwdSY+1xyqYusURK6umeNcgRtgBAVzuhmxYiv9cFJoaOukqJAgilNUeZ3h6tpTI/IlssXdVsFW2SKOWXuotePe9pdz81liUCTrj9bQbW/vpLGpUfTipdqry7UtHVTZ1C6ttyQSA8gAOwBAkIHsuidFXH8nMTKEPr9xjilVeAgG4eaGGV1vKDAPiA2nh82CkVZENc/vqEr63eFq+vM3h2hSRiz9dnme299x78l57LrJSXTugeorqpraaVdxPY1J6TtfWNnYxlru06JDvRLUmi2opdUySxTfH62mhrYuVhkSvRY4q4zZKnkaxZ5EempL9OMsGPtkbzmrasPmyXsBtvrkmDuSI0Pod8vzdCfja5s7WIDmSStlWHw4e4jmme+O0lvbSujaOcM86kicNAbz2pGU5fA6cO3/+sSRzAfbFZi/dtRt0AusuWYOj2djBmposY6mwCoMft3w0E6LDqN5uWJEJ3k3jW4fbFviQt05dP1r25grwp/OGs+83CUSiQywAwLMgq2+YQ4FOkgQmBX8ovIHqxzMMs3PtSjySox6NfeobBEU7YPaWwk6zHrK1LV20NHqFrYR8cTUoXZPVDW8t6OEDlc1M49jVG5Mr1IphK04tVZROSPXiJag1iybHQ6voPFEjFb+/f0xJtp27uQMVYJHnD98fpCK61rp+Ysne/wsUaXp7u5h36dmZtvZ5/t/p49lyT3YbRm1I8L7RWIoLjxYqvF6CWeJDt5l5c25WB4UGQ2wcS5Dk0QvI6xK4ocqPVt1mYEagTIO/OiVnvScvJQo9lAjbCli/cNokZbxIq79gIAcxYE/fn6QpmfFiguwDXYPqbXEVK6j5Y3t1Gx9XxKJhChwB3olEh/bqvRXsLlPiQrxmL22t9iJrYAqKy9Kz3ReUXectxPBmkPV9Mqm46ZvKm1twU684NEaacSiS6tSv9kzlJ48vz3x+f4KenNbCQs6tcDPWzXtmvd8tJdOe3YDfXWgUvcM9oIRicwfW2s7e2ZsGD1y5jj6vcKL9zcf7KEz/rnRNiIhMR+e6MAlw68b29rmRVFRfm6ZoVGiBXSBDbJadf3l2yNME8MZq/eUM0tAVC59pSNhBB5EerLyMwMeiCIo/c2He62vQ9w4jNHumE6N94ZQEy1YJZJARbaIS7wKfF9xY/v5ohEULVB92q7kG9ht9P4A5n/VzAC7UnA1CubREGRjs9tbTEr9rOvaw1VspnnmsPg+7YO+FOyxVWecbETqBFSwh8aH02c3zFF1HeidHVZLclQIZcWFufT8Vq8iPsQ0sah2jUJHooSoAGb+0Vrqza4CSV+U5z8Ci6DBQ3QL1xkBFdcV+WlMeM8I1c3ttKe0kWLDg2hCuvZuHFRi02NCqbi+jf6zsZCGx4fTGU4q4q9sPs6qr7CrGxonrlWcn/tqBCp3FNdTRVM75SVH9noNNc3tdLCyiVWIx7v4DLRWaT0p0b/8YxFbq25Z6FlttcWJ2jjaxf1F/0LrOqTFvUIiGSjIu3gAsK+ska7931Z6YPU+CnRW7SqlD3aVUVO7Puses4RdJNr5zUl5tP72BXT5TP2erZ42vcpKLLczUhME//fHItZ2hw2gGsxKFmhp3RNRwUZiAsJAkSGef4dZLf4cKDK/ffVM3e2qemy6tFZTbFUslZ/B5MwYZtHFVdfxHB/tLqPP9lVQT09Pv1BmHmgoP2t+PvB1x5t2afNyEui3J+XRaePVq+A7Y2dJA932zk567MtDun/HnBxLqzICVASuUJR2uWYKTmo7E51zBSrov35/N317uHfHx5bj9XTjGzvoia8Pu/zZ7IQIWpqXTGMFKPbXt3bSa1uK6YNdpaq+v6W9byu1yIKD0S4ArffDUKknIZH0QVawA4CalnbaeryeKU8GOliwO7q6hLfBeStAkvTGLFV7bBCGdA3qdZ7YVcsHq8/gO2nFdgZ/HrMUtdVsHrlftMiNljvGp0fTw2eMpUgvqKd7M8BWqyFg+R5tQQKqYcqKWH1bJ9378T7WUrv05ws0r1lf7K9kfyKogkaF2V0FEudr2IfXzWLXJncScGX/FAiIEC+87YRcJqwK/ZfrXtvG1K7X3jqv1/po1j3XPkaj4fp1tOni8+xufgf0NvAQgVYVcdhooWKtrGTHcLERP7BEhXgdkkxRoeq6h/g9We37l0gGAv65s5L0os0qiKR1o+nPAZnawEct9gAp8DZE/sY720to1c4yOjEviS6ZPtQnr+HTG+f0Uc3XEnxo3WC42qiJJjJkCCVFhVK0k6C21bo5MeLFjSTEn746xDa/aPN31/qcHBVKSwRtMM2ACwFpXfds7YqdGlrEdQYJ9ireYM1WOzjnfveRZf5ymXWGW2TbqkQdOG4pDsr9WsZRRIH2dMzmDqJBhpJsIpKFOBeh4I1A8JEvDrLAqbShrVcbtlnjDLbkqIrr15X2iha7Ql8E2OiAwQNaC7DTMtq55Ow+g/GTMJ17xgdPG6tTP0AG2BIJRwbYAYDZrZzexC58JCvY/kp5QxvtKKmn0U6spJQ8v+EYHaxoYirPU4Yamxt0xJklXUSIZTbQkzeqnhY5b4nkLc5LprNnZVNNTRN1OmzGfrNsFP1qyUjDz/H29hJbi7ba2WIzeH0LPL9LaPmYFPqJxjECtFvzzarWTSJv9+Y2PCKr5OgygKgT1jEom9uE93R0cijPNa6WL1vE/YNbF+YwkS/4CHuLz/dXsoTLjGFx9LfzJur+PfZk4WAh6zB8ro9UNbPzXhlgm2Xzh3nq8ydn0BgVn70r7ZUgFes/EhqDBw8SYn8aZtWJwH0ELgCo+KshUXEvixEYYMdHhDABRW+RERPGLDEjVIwmSSQDBXk1BADeqq55A5u6peAK9nVzh7PNMhSwJd5Rs/3xWC1tPFbLVJS9AarpaivqWm1K/EEkD5U0o/OMzuZJXXG0upn2lzcyNWtXQkBGxZYOVDTR5ExtKuD8uPEjp1Xk7LzJGbRwZKIquzVbpVJlgL25qI5+8e4uGp8WTS9cMsVQS3cvv3fremhX5g/8ZGogAe9laCBcNWsYq2brEQczCj8fuIKzXkQnaTKtAXZJfe/rWMvIjhamZcWxhxHtFTWiWw98up8+2l3O2uGNdmqFKgTKsA9BMlhtIMyZPkybtaQ/8csTjSeGJZL+hgywAwCjbYz+hN37VWyAffE037Qy90eCVR4jM6ttT35zmAprWujaucNptAc/UxGesn85N5/Nw6XF9G4VDTSUCuyekgvrjlQzEaCTx6bQAyYEFFrEipz97MfXz2Jt85Eq5wA5s7LjVX/vaeNSWVU6VuX8o6MPNg+M9VwDOFb4ORwnvsafMSGVCSbJRKF3WbWzlCoa22llfnqfdnFvIUqJWXSSJt6atK61ijA6Po8v9yWuuvtCVCQr2q1ddCJ0RJQdMG2dXR4D7Ne3HKe1h6uZyNqYlChKiAymREWwLQJ0AeEQ4aPQOr5y6UubqaWji/68coIqFw6JRNIXGWAHAFqrLP6MvXVX2jn4K2o9NG3VAxM2WJsKa2lPWSOtnJhOoy2CzaZ6ykLMxxscrGikR17bRtEhQ+jhM3q38MFzFu35qKboSSoorzFLgO3++NkqUCYJ1dmU4HUE2NgQYlbdbG5blKvp+x19sLXafHkSfbxlobbXIxGDrePFmjCBKjyOLZS91Yyk+JP/s+jWbV5lrWnuHWA/vnI8S4DBjk8k+NwhHohXnxgZojKZ4Ngi7jlZYRc4FNNKz5Nlauaw0dmz/mgNTcqMoZcum0qiQZv6nCe+ZV1An904R3PCDuMA/UFUVyLxJTLADhCgOKlXsMKf+Mu5E9mNU+S8EYKJvWUNrE1sVEqkkJmqgYzaSoq9RVD85x1kbflTbjbRxrn+SDVdNC2TThnr3soGgfmc7ATKTvCv7Ds2Xz8craFUJ1Wy7w5XM+9WVFWNgKAN1XhPyQUzEyS+9EYtqMa8aCvrRsCctEgcxZOMVgt59Ux0R49EG8EOxwEdNGUNbfSfS6Z4LcA2qvzMmTksnn65ZDBTghZBvPX91zhUsNW2cWtl/dFquuO93ZSfHk3/vniK2++9ds5wNorieJ0nRYawOXqIfXljVh28fsV0tg54SgoAVIeNClq6AzPgOKVxKulJ2GjtTnvph0J6f2cps2S8bIZ4206JJBCRAXYAcP6UDPboD+DGJ5qmtk668pWt7Ovvb19ALIKX6CZEbYu4iV6xfBZZ+RqKalpYVbu2xbOHOirAWqrA//juKMv2XzQ1k2JNnOO3z4b3/WxbOy2brjDFPJ+ZYxhmC2oZqcjVNLfTv74/xizEbpiXrelnsdF78YciunhaJt2+aITL74NCMtpecf5iI66mjdIxaQBhnwdPHaP7mPHqWSdmznt6qKq5gwV7SEBqbeuU6Mex48UXYnOiHDZGp0axhyggunbH4hE0MllsssqjiriKRMMJI53rf6Bi6ynQM9p94ohSAM4T3J7LrACbf45dnZ4TrY5gHdKqEF/X2klHq1vYmIVEIrEgA2xJwMM3Q9ifqFXvlLjvloD/paeOCZtXrAmfORet4erevQVtxD/fiz8Usk3FWflppgbY7pIXojZd/PPx1JpttqCWVqE5JaiWvbalmFnXaA2wbZ+xh1bNhtZOWv7M9+zr9bcvIDX6co4VbFSrlo/VMcNg5ZdLRrJzHNV2tNue8nfL61lz6zxTN98SF8GtoM4EPTiOH/gLzpKVeI1IZOF6gIe7yPuuo86BWZilgq4GsyvYAMcGHVNaP0e0l3PUJpi8dcwkkkBCBtgSr3ssY/4IwkpqVH7VYHar60AD3shq/JFtIjcmjC44q37aN0Sen+9wVRPtLWtk9iGTPViIIWMvwjtWS2XeWdDJfZ/hQWuEf100mSWbPM3dmb3BjILnd2QIS9ZoxcjxUDt/zzeDePtqk0T8+Kn1u/UEvGo5ULHmmDUXL1GXDPJFBRvX6/IxyYYF7uAOgLZprH1maUs0tXfSw18cZF+fPsHYSIua5Korvj9azf6cmBHbS1gMQeKesgZ2PDHn7GxsjF/Dou5f/9t8nIrrWunsiemUnRjh8wDbrkqvLcGpHOlR252mNqkpkQwkZIAdAMBPdu3hKhaUnmpwPtPXfHuoir49XM28LkUF2GbOAktc8+aV09kmyGhAqHZ+11YxV3Gc1x6qpqe/PcKqK54CbDwFfxazqxl8thznLAJ73gaMr3mAjQ4CI6hVQTY7qaA2UeMMXn3XczxCVPpg69lgQ238yllZNt9bbKj3ljdSalSIYasznijEO5adOL4VdtSSzBNFekwYPXjaWCGB3lvbSui6OcOZC4NRsC7tLGlgrevQtVCuy0hMidY8CdZQyf/Nh3uZ6v4bV0zvFdQiecbHxlx1g0wZGktJUSHC1Ls/2l3GRphmDo9THWBHhAz2uRuII8qkttp7g637QlawJRIbMsAOAA5VWhQn8wUFpL7EVl1SkZ1WiysvTIm5mBFYu6tg29T0Vdz0eRCuRsFa+Rxmd0Hw8x/vBG+HtyUj2OW5BG+1BsMSKj8jmkYli5vXFIXWGUA9rbZ6RI6iQoPoxvk5tr9vLKihhz47QPNzE+iJlRM0v9bNRbVU3dTB1nbMhPPXL+evvct9p4yhzu5uSogIYdVPfi0G4j1FdMIZ4xo3vLGdWVGt/dl80xMQNotFFXsEW6eBw3yHsgME3+NsTb1jiVjvZm7Vpaa7hY/Ze6OCrVUDA8tQTkIEux7Udvb4StBSIvFnZIAdAIhWu/SnWTcR+KKdrz+D9uo/fXmIqceKqKjo4XfLR9M9y0f3OqauPE+NKvJ6NcAeMoi1MjKv6i5sYCwbrGZrRUNE4gIeq8dqWuiMCWluhd4mpMewhz9i5JpWOw/IAxGlh61WtCR9nPHM2qO09Xg9PXzGWJsSshmaBhL3KFX9lQGSY+BmJsy3GPZ63T2GAi+R9lMg3Nqtgc8Frw/dFe0m3nMddQ5UJeIcEiF4jXhlPV4M+rQE2K9fOd2WUDOL6VlxlJPQzoQitQDVfLw+LYTKFnGJpA8ywA4ARKtd+hIjwkeu8IUgTX8GYlsbj9U6tZJSct/He1nLM7yEUdkTibOgB8+B+UQ1is1846emZY1vwFhrrsn76YiQINp9/8lUU9NEnYqNGN7XutvmszlcowHWF/sraXNRHU3KjDXkp22UfeWN9OgXByk5KpT+cMZYr3WlqK1gt1pF5bQkNBAEFdS0sM1/TmIkq/Kw16nzxFEqJts0DeQ65lMQnD185jiWAAu1BpfeAErMy/623uaGoXdMQPT9ULnewukgMiSIOjrN09+ICQ+i08enurXYAghQuSCX4zWDDhBck1jb1XQxiYCfKxArVIPZdqK/OSmPvEV0WBClx4R6zdJOIgkEZIAdUBXsQQPGAkoLKVEhbN4sUoeYksTzPKIzsLH5cHc5+/rmhfaWWTN5+px81d/LN5dqBF5s874+bs3Fa06KChXwe9R1iWw7XsfmF/NSojwmU/TObm4rrqehcdqFljpsba7aN/DjUqPpl0tGeBR44rZoWirYOD8u/M8my/l/3Sx78lNnMKOstnN7JtmJ432+2F/B5ozn5STQ9GFxtEQhPuctHLt1hli7W3y9X1BeH0hKwWnTXsEWH2CjTf/ek0d7/D5lkt6ZLgdeW3tXl8sK9qKnv2MaIvCvzogN82oFu78BsUalYKNEIpEBdkDQn1rE7cqW4m5C2EiLEHORqBdHUQZvZpyXn+4tZ2J4c7LjdQn7aRF4gdXSK5dP7WVPEsi489pW8tz6Y/R9QQ39/pTRpognGrEdmpUdT29dNYP0nFrDEyLYQ81GHiJ4ECjTQkTwEGpo66Tm9i7DSvrKdtjoUEvlTnQ3iMQz645U0/s7y5j/OAJsX6Ds1sB5FaazGKhllEZtUgmWjajMcnEuf0j6e7oHWd4/rtFulwlAXL6iElrc1pKLVbqitqWD7vloLzvXHjh1jN/pLUDz5+4P9jDrwCfPVp/UlkgkvZF38gDA6JyfPyHFMPwfNfPLyv8zo+IGK7dP9pSz1mk9wZ+9Ct+j6pz0ptDXjf/dRBV1rXTP8jxblRUuAav3VtCMYXF05oQ0r4xhmFmF0mq34whmUIfFh5OZoHJ/n4pKmSNoXUWADasio5+hTVW+q4eGxoWrqtxJxKPseMFxhQsBRgdOGJnomwo2V8Hyk/0CrkcE2HysYkRiJD22YrwtqBQJxjAwpoTAGEGoqwC0t9r1IE2dWFiT+PIo6nPioyaeKtgIsCFai4SamcH1z9/ZSRsKapiWyfKxKap/rqm9iw5XNUtFcInEIDLADgBww1HaVwQyl80YSudMSmc3TlE0tHZSWWMb8901y/dzIGFrW3WwklKirAybIcrkTOjm9nd2sqrhPSfnUWas++BrTGo0qw4k+OFM2IbD1VTV1E6N7fZKB+xdkFDAhtVogK1W5MtW6TJJVEvLHLxIECBh/nswDfJo0aYH7reLjajRSp7dF33gtZX6E8qOl4qGdvrtR3spNiyIThg512uvAessEz/s7jHkJ3zOxHSamx1PI5MtonkigHVgTYt9rAKztmYlH5AYPOHp79jXX90812VHB4L+X584kn1ezuaZL5k+lAW76FByW/0WtK+6YmYWnT85gxIigz3uV0C0ySNtyGsi2aLXpkuL/sX+8kZ68NP97LPW46YgkfRHZIAdAPz9/Eks0OkPDaxoy1TRvam5vQ8bIrT2PXPeRLG/fABvNpmVVHeP0+qAUuXZjCw8f07lRmjr8TpqbLO35boDM8XwjVdDaX0rfbCrjAXjZ0/KIK9Z1SneG8TNACr2RglSOX9uE0MyKXFnRNAQ8+FrD1czkbalo7V5aRdUt9D1r21n58AH181y+X1o5eyxzk5qERzi4ktI9iwbnUzZCRE0Smcwo/yMcD7gTwTrZnmTS1wcB5u7hT0g8cUxQGKxs7tLV9cHR0u1Ui1XzhrGgtU0E7QaHFHeb9wlnlAxPney6/X64mlDXf5fL6V4Qcc5ReVng+4XYPYoiF6bLv79zu77Ln+mu4clib1xfkgkgYIMsAMEBDH+NanjP/jDPFh/AgEHPkpsPHDjdCaka7bisV0Mr8f05zxe10r/WFdAw+PDvRpgK6tUvPWSV0cN/X61NlUmV7DViOW5YldpA72wsZCWj0nWHGA7S2A449XNx+lva4/SmRNSmS2cngr2IoNWZ6eNS6WJ6TE0JjWKvjlYRXd9sIemDI2lZy+YpPt3SrTDk0wsyWFTsPf+/YQFRR1iXTZEcNbE9F5/L6xpoR0l9SyJNS1L7Mw6kl1QUEdy1yyLLb424OP2ti0er2CL7OITmeDUM2Kg9p4jkQwkZIAt8Srbi+vZRnJEUoQwYSUjlj4S55WB73++0MNnbs1ym9xerBTD69CQSMEm5ofCWhoyaJDHVkZe6fWWDZ6zjY8eRWtXXDc3my6bnuWxGs6rZGYlSfA+Ue3FOcL9c71hNcQ9WT3NQnIxIq2ew5EhQbYA2ygIpvEAh6qafBbYDXRsFezubpuCvS9sMeePSGTnpRorQlfsLWtgnRk5CRGaLOi0sKWojh74dD/Nz00QHmDzNb4FnuBuArbGtk7aW9ZI4SFDaHxadJ//L6ptoaa2LkqPDaUYB8W4NhOOMT73rw9WMdeE08en+U0FW2vQy++5WrRVzLBflUgCHRlgBwAPrN7HNnO3LMzxOHvq7+CG+OIPhXRiXpK4ANuApY9EH8PjI+izG+bYfIDNFsNDMMi7JtUc5+L6Vvr1+7spKTLEY4Btawn1UmBjmy9XfHZ6PJldgfdMKjqWeQXdLFuo2PBg+vqWebp+VjmCYNbGkvvVavU6xvmETfTolEi2qYZoUW5ipOoWUVeY6S0sUd8xY3by0B16RPcc+cW7u6i8sZ1eunQK06IQQVlDGwtYUbGGGJ/pAolDBjOhM3djLgXVzXTDG9tZW/IqJ6Mg9328j9kEPnLmuD4WUji2s4bHCX39Byub6F/fH2POF2oCbG9VsLWOG/B7rpYRCZ4YlhVsicSODLADgG8PVVNNSwddMyfwrajsc0HiMp22CrZsEfcaqEZC6MZb82PKSoaaTZEzkTRP54+3VPrtLeJ9K9hmqPK64qYFOWyzly7AA1Y09m4FHRVsW7svkjLOBZB6JzW0PYcyMfjL93axqtVdS0fqGi9A0IKZ8eSoEJ8GdgOd0yek0tzcBIoLC6J9FU0B7drBAySRweM/1xfQeztK6fq5w9k+xOyxLH4NuLeKdH/fdzeDDDHUv5wrVq8lzJqo82TTBe0GUXobaroytArm4ZgikZKo4f5uS4i7EUaVSAYaMsAOAPqTD7a9UtDtF5txiXPu/Xgvq8zdtXSUT5TZl41OoQW5iYpgSel5OkhoIkdPS5zRABsbSAR/ZlSwNxXWMhuYcalRtCTP9fyyWhE4X8CPG7ex0oKyAowNn6vPVERSw2gl77N9FWwOfMWENBphFUqT65ivxDdDbPP/vkzYctcQvUGKGffDZKsSd0Vju/U5tFc59XX5uLGK7HZ/7QV5uW2Zj5rwzhh3iU0kKowI2akB4ovTs2I1J1Bxz3B333A3loN3hPclix0SiQywA4L+JOLlbLbWKHpULyXu+f5oDVU3d7AKp7Nmt8NVTfT6lmLKiAmjy2dmCf84EVgr55Fx044KHcJaBtXM8iptdzxhdrujI69dN5tqa5upU7ER+8u5+dTS0aV5HtiVzsF/NhYy8S6tGyXRwFoN7+uh08Y6tcvxfEy0X9N8s8c31w7jl4aTGng/1c3tbL7fqOew8jy1jbrIFnGfAuV6tGqb3cLrjKte2UI7Shrozysn0LzcBF2/w8i144pk6/hDeWObV/YkGMOoa+1kXtF6K/VmJPPdwTthsD54AsG/xskUzVwwNZM9vAGSmrC1w5+WANsrTyuR+DWygu3nIJttU0/uBxsvx9laEUzMiKFLpw+l/Az9ar4SzyreSorrWumtbSU0NjXKlADbEVSXvrp5nvZETnePx5Y1I4JaenD2WhDkiRIkUis4s/5oNRMGnJQZY9p7hxgS9CPQFpmowcmKb4r1iL4hAXPT/Gy2XroLMuCXDSI0fu4f7iqjh784yOY6jQbFSqV1W0VOtoh7HczPfrW/klJjQpkP/WnjfTM2wdcGvUGhWfuFlCjHCra5XWN3LBnp8Xs6PQT57rqYNhTUMI2OsWnRwqw9eXIUs+MDDazTn9/kPc94iSQQkAG2n6O8OfSH1kG93ozumJ2dwB4S73UaGK3ceeJodTO9sqmI4iNC6IZ52Zp/Xvm6mLdw0CC31ZIRSZE2f+NAR409FtrTb31rJ/v60xtms8/ZDCyBe1cvQTc1XDN7OJ0zMYMSIoN1BSlXzBrm8fug3o1NcVa8NuFIbtPV3N5puJLH21hxPaGlE+KP2PRLvMuRqmZ6dn0BTR0aywLsQL0/mrVfYMKJRFTV1N5LP8KXwqKe2tTtica+nyXmpJH4a1NRbdZawfY0g/2bD/YQ8ig3L8jxyfiVJ97fUUpvby9hCcSfeCF5LpH0V2SA7ecoM9n9I8CWdg794TiZPbeMFtx3tpcyb2o9AbZSKArBXQgNVjV/6Q3+vfYIfb23jE4fl2pTt33ki4Os+gQBIS2t1HpnD5X/Z+Ym2RYwKATd1ABFbqOq3J64erY+0UieiMEG3Wj3gzIZcmJeMntIfGjT1dXNhOcOVzUzoSe0iwfS/VG5XxB5XXNLKd71ccq4FObdnp1gjqsJr8QPHjzIpeifp+SW8pj2/VnxCQJ7BbvL7fv68kAl66zCLLaZvLm1mP7+3VFakpdEdy/LU/1zpQ2tTIcAx1cikehHBth+Tu8bZuDPGE9Ij6ZXLp8qZNaUg6w6fC1jw4NsHrUSY3iaYTZ7btlR5AaWLAhCMQuoxsoG7ZG/WTaKvT5/80ffXVJPaw5W0cR0+0jD+ztL2Tl82QzjFQO+4XSvwGvORtxlwGCSnZsrDlY0sWBgZHKk8DWB/z4E2PD3NrI2a1G7l5gHb/FHULfmUBU98fVhOml0Mj10+livfuzugkI1IBiFgBZ+XuR+gXdtoP0Z3S9IPJiZfPjp69tpc1Ed/eH0sbR0tPOkE57/1oU5LBHiylM8KSrE6egYV9YW2UaPKv8LF0+mCDfrDdYMLm4Wb7KKOJ4Hc+yNbdqq9Hq70+CogL3Y/aeOYVZuEslAR0Yjfg4qa+tvX8BuCP3B+iAyJIhGJYu9MT/97RE2F3nLghyvzAMPBDypcJvdIs6DYr7RxEZh47FaylSpiAprprMmpqv63q1FdbS7rIFt2KZlxZHXbLqs7w0bVgTXeiyj3H527hR4vZS4s1nFaAwYPthVyuY9F49MouzECM3P+4t3d1JxfRs9f/FkmqBIZHDwmaPShPlrresqDzaa2jpZFQpq+1k6N5RKTQpsiHEo+sM6H2goz1PuvewLsTn72qCvgg0dBzPsPCE2duP8bHb/xrJitkyAGi97jPXg4Yolo5LYw1vOLLiWxztZa5TUNHewP8ODBwvT3DAyKuQM/v1a7wu7SxuY/3qj1edbIhnoyAA7AEBWOqifzIeaga1duR+IwPkLfOPf6aLyaHaLeJBDgG+mqM53R6rphY2FdOHUTO8E2A5VS6VPKfdSNQK/Dtwp9fMNPNYWVz7RIgMGrS2v8NzderyejQjoCbD58/LEhSOVje102rMbmEXXmlvnaQpqbTPYHV29PLH1MCo5kn6xeARrh//DZ/vp/Z1lbDZTzj56F35NIslh687xgdgcb4d2te768n5wpULXAOKFSCyhjTjdhDli2/3HJIstWwXby12BNS0dXqleG7Ep0zv24mnNlUgGGjLAlngV3JQxGwSlX+UN2wi2eSqpviuMv52bz+bfXAVfZsywuQtC9Vix/XislgVB07Ji3bYJ21R3vbTZ4srYXChI6ZuqRzXbkRlZcfTyZVOZrZnoKoWe44j3pPT8VgPfpIXqTDjwNk2olzujrpVXkrRXsPkMNn63J4V6T6CVEokd8NWBSvanq5lTiRcqpp1Qcze3O8cd6KKpb+2kNJ36AxDYKqxtYYk6reJ9Wnjxh0Jae7iafnvSKFqRr65TSAtqbBbLGtqosrGNaVY4Ewurb+1gFWNcr0lRvT9PvuaKriJjb4M26XMmpfd5TmUFO84Lmh9qugBE3hukvo5E0hsZYPs5EFyBUEVSZCjdtiiXAp2G1k76x7oCdtMTFWCbbRkyEHGlzMpZOTGNtd+ZZR3nqKarpyX9Nx/uYV7emPl3N5ZgD969c/7Yq7rdvVRn8Z7VeHx7IjosiEaHuR/DsCcVzH3PL1wyRdfP8Q2wO/V3tUJkzmiyziW6S0K4a5fFBhrt5T8cq2UJhLGp0YavBfvGVq5j3sZW7evusXV+aEnmiQIaDEZ0GAqqW+jSlzezeeCPfzpb6Gs7VNnEEuTouuBCXiK1VJzOorsZc8EYyd+/K2D3ImciXq9vKWZ7DWf/nxgZTPnpMaxDRiQv/VDIRlPm5iS4CLAtKuwJEcHe68rQGWBrvTeEWr+/TepJSCQMGWD7OciGrt5bQVlxYf0iwNabVXWHnuqmxBiRIeYKyinb2yyKstpb+tRm1LkAl7cq2CEOGxFbNUVAe7ha4iOC6eeLR9AQP533bTdYweYBtqt5QHQ26A0QUPW6c+ko9vXsx9cQTq+Prp9FyU421J5AcmVfeSM7R33VtiohFmhhXh/JErTpW45D4CU6jNrGuePuD/YwdfW/nptPrVavZ7PmiG2ic27aje2da86PEz9+zubZTx+fxh6isXTOtLnsnGmwrkdx3mgRH6xvnh/HNDYsSPPaaLvfyhZxiYQhA2w/x2y1Zm+jDHqMtld6uxo3kED2f3NRLZsxXTgi0evPjxm1VdfO7BMka6kyq/WU9bRREw2vdPLKQpttsyrm+Ssa22jVzjL2+y6eNtTp92CDd5G1NdkfsbeI6/tMIm22Qs43uq0CKnCY1+V7V71rT3F9K13zv21sQ8v9r/vLWh9IIKjgYngdXSUB69ph5n4hUjF2wSvY0DAwt4Lteu2264A4fw084a61gmsEmwCiC6sudCdcNG2oV15TXHgQjUuLplyNGhZIHvIEohZ4t5HI4olEEsjIANvP4XOaImYz/QHlRhQbVBGbGG/Nkw4kdpfW0xf7K2k8Nv1OAuyvD1TStuJ6mjEsjrXDiQat0sq5Oszw4vBqCWTUVrC9LZJ31fwcWjk+BW+K/X1EciRr5xS16ULXyzPfHaWUqBCXAba3+M/GQtp6vI7OnZRB83LVnyd8k8bbDrUSZWsRd17Bht2QkQAbAQbGdzi6EwHWoKWReWrLdcwfWD4mhUYmRdoSHt7kX98XsGtm5cR0un3RCM0/b+v0MWEtU45diEhQeZpFP2FEolt1frsOiAsfbDcVbLOwCSC6WHdsorWDze9WmpQZS//ROaKjh6iQIF0jNxJJf0UG2H5O/6tg22+GCHxE3J+X5CVTXkoUZcZK70VR8Eqxq2w0Zk9f31rMNnJmBNiOoJKOhxaxLDVVEF+I5DFv7iGDqbPHOtoweBCbmRT5+z1tLOtaOuhIVTNFhQWxYMIs9pY1MDGkOdnx+irYOqv6CObRBj85M9bp/9sqcDp/PzxfNxTU2v6ud33mG1L4aUOfAshOHO+DgPHNbSUsQIWC+5Shzs8bs0HODckfvUrMZtonRigDbOvrMyvAPndyBnsYmRV2Z1N13yf7aGNBDd2yMIdOGWvMCUAJdBmAqxbx/sxjZ4339UuQSPwKGWD7Oba5vH5SwVa2+CJ4iyDjN+hLp/u2Stcfsat49/hsbvnJbw6zjeYN87KZcBfQYill85S1doG44rq5w+mciek0PKF/JGjslXvXm/SdJQ102zs7aWxqFL146VS/s4r5xwWTqK2zixJ1qu3OyU5gD1fAWmjRyEQmdKSHBMXrQoJErzgdUzEnInw68PRNigqh5CjzFYYlvUE3FdYbcMm0obrF9YT5cesMsPVoVWhXz+80nKDyhvaKu3WwuqmdKhrbWWLLrCSEMyBYW1jTQhdMzaSJGfrWHrN59IuDdLiqia6bm+2zRJNE0h+QAfYAFi3xBRbfXUum3tNsrMR32OeXe3w2t/zG1mIWYF8+Y6gtwNazWfXkKYsKrplVXEe2FtbS3788wIQLsYnZVVJPH+0up5HJkaw11CjuKjd9Nqcmz53z16J1Lo+NJpgIKtxaWtYdgTUQx8j4DhJG2JRjQ3717GE0PEG757fEOMoOhB0l9YRGGfivi+ws0fI63Kln+6rjTen/fteyUazSrkw0mYE7nRZP2ivc7s7ZPYy3uIsWluRJCJ6AcGRjQS07v5aOTiazOVrdTLe8uYOiQoPo1Z9MU/1ze8oaaEdJA11otTKUSCT6kAF2wATY/aOCDf554WS28RalpFnZ1M7mc6PDgqWHrJeqoFwp1My5ZQT5EF1FO+JHu8uYT/CC3EQ6M1+d+iv8hZeNSaE8NxZdvqC0rpU+2VPOKhjXzYX9TTNrt5+fmyAkwHZUYHe2QbWtKyZX6vh51OnFOUg+e11c18oqy7mJkaaI8HGMrs3YACPAdlX1knh3dAmV7D1ljXTvyXmmKE0b7T5xR05CBEtIZrqZXTY8g93WJbSt2pXd1V/XHqXTx6XSb5f3teACJ+YlUWZsGE1Id56MQ7LqgikZNCw+QrgGgysumJLJZvjTY5w7CnBXA2/NKpc2tFG0xnVFj6Ao9wD/+mAlnTQmhc6c4N3rRiLxR2SA7eesmJBGy0Yna2qN9XdEt0Zd8uImVX7HEtI+v+wqwO42f24Z1YXGti5WxYYH69cHqygj1i58pmY2Xw1f7K+gutZOmpsd30tYzSxCHX2wO8Uq8vJjgiOEFkhnLZRoibV8r7mJO/s8uPqAAZvQt7eVsIqZpzlMV2wqrKNfvLuLqeg6E/rB+8fHotfFgFfzwBWz9PsW9xaPci2MJDEX3F+RjMH1woMgvRZxZnYOeWJMajR7mMHM4fFMbR3XlNngusSxcLdunDAyiT3cCaWNXjLS6f/Z1lzBLe5Z8eHs4YpG6zUebXU5MBO7TVm3V7omC2tbmC7F6BTviwNKJP6IDLD9HGQRY/pR9doMvBUsDCT4/LKrVkVPAjMiCLduftDOZ9S2yR0vbCikveWN9OezJ3glwLbNhvMA21pNCRVUTVHqNeD4OYsT+Iyn2cr79kSN+oABybKnvz3CAk+9Abby3HHGg6v30cd7yulnJ+TqUlqPtFagoKJvVKkdM7+w9bnxjR0syfL8JVO8OrIgsZ+rCOrqrWJz/BzyJnqDIm8wLSuOPSDg9c3BSqaAP31YnN+sG1poMdnH2xX2Crb5W2++tmt1p9C7n+L3ZmhnSCQSGWBLfADafcsb2mjZmGQhyt82exsfCdP0RxA0oN3NVRbbFqCZ+JnzzQ8CUD2jErBRKq1vo9ToULdVBS7Y5i0VcVvywrp5FF3BxkbnuQsnseScq8/L1oFgcvKOjxB4moNXYhdQ0r/55bOVrgJsbLDxEeh9/xHBdk9go/CRh+fWF7DgLqgfdSsFErguMY7SYA2CRM/nqgEz31MyY2iEzrGG2pYOFsShQhoraATLEYxe3PHebjbi9dmNc0xdN9y1yh+tamZdOmjHdrZWILCsaelg1znuAc5nsMWuf8dqWmjNoSpKiAhmrheO6xoP7GPDzDk2Svjaj9sMPgu1Ld96k6/+nBySSHyBrGD7OWhfXX+0htncnKiy5dXfeXXTcVYxHCXIWssbglsDDU+V4ntOHs02cmYqHvPNDwLQdh0VbJxnmG2+alYW3TA/x+X3eRLLEQ1/D/w98Qq2qA092l3hgeoOb3kuXztnOF03Z7gmlW27x67+48FnK/mG1pFmg8+RFR/GRnf4pnqYmwSOKFVkiblwUSzetOOLCvas7Hj2MCIM+ey6Alo5MY3uXuZ8dlkvSCahDfjHY7V9dAhEo8Zi8c4PdjP9ir+dl08zhvX9zPaVN9IVr2xlAfj7187q9X9Q7EfwHaNDPNMdGGXCDD/cCRwDbCR8QWxYkC7RTr2jJwD6DrHhgzUlOMMVP6+tgi0DbIkEyADbz9lR3EDv7SilmNCgfhNg87mnNhfVJS3AF5lbbZgdLEjsoCLgWBUQDW+ZRgDa1qk9CA7zEGR5O9h01SLuC8ubSRkxzP4sJzHCK0GLFloFCBDxz5J3BzjSxFs1Q/TdAiGcBiXgX7+/myoa25hwo16QaLlz1W7bedqfBC0DiYfPGMcqore8tYMFCaJGNnxi62nCObS7tIFueGO77e/wmfeVTaSaxGSwm98BG0AzsCut99VTgC0YEo1mCNA5w9LBNIgVIJBQVNvRgNeIW6HWtdExcSyRDHRkgO3n2NV++8+miy/EaMczilKd2Ox214EEMvGvbCqi+IgQunmB6+qvmdy7PI+6enqYF/Kn+yo0V7B5BcqVZUqfDggvnT+Om0fekipS+AaKrqharMhPc6rWPz49hj38EVvCwcCapxwvcKak3iBgFlJUMIPEzrqjNba/ywDbN0y2ev7yM8UXFWx/nvFVCvuZHWDbxd5c7xH4/sFVYtKoIrsxr/C+95y5OQm09mfzqdE64+8NIPSGmWoUItSy+oY5bM305b5OIukPBESA3dnZSd9++y2VlZXR+PHjKT8/nwYK/dGmyzYfKWAhVs77yABbHJjle39nGWUnhDsNsP+5voCGDBrEAjilJ7BIlIJjtmBGU4Dt3pOUw0VgvHX+ZCVE0Oc3z6VI6+v79YmjWCu1yHbFf6wrYMcQ1l+i7PD08MOxGnpneymNSYmiy2eqU9tusSn86q8g8uAI20RUIx1/F9TpjdjlYAOKyrWI5CeC/6iQIUzJHsgWcd9yy8Jctmb44ro5WNlEP3trBwtW3r56puaf5wJtolufnf1OMz8f3FNmDoujkcmuZ9E9eVkbVWQ3VMFWBNjPrjlEa/dX0BnjUmnRqCSKMzEx4ci/L+7roKAGPe4KWAe9JGMikQQEfh9gNzQ00OWXX07d3d2Ul5dHjz32GF1wwQX0y1/+kgYC3m5f9Qa29k0BLeJoZ0KQhyCpP31GvoZXQHgg4synFC2tmEM1wWa4D0+dM4FVmrUcYj5DxlsJPSVpvHX+IJDHBrLTmjSINmEmj4vTuarelNa3soAOokpmJUhASV0bfbavggUsl1OW91rEg4YwP2BXm2+jlT4kB59ac4R9raU65Aq8Dh5g96dkaiDx5f4KKmtspwW5CTTUS228zhJD5Y3tLMB25WGvJsA2Q0TLsWINIS+zgIbEX8+b6PL/8dnYAmwPFWxH0a3txfV016rdlJcSRU+snCD0dUdY16zG9i5bFXhrYS2tOVhFs0xSXPcXTh6Twh56rQ8lkv6G3wfYf/vb32jw4MH02muvUUhICO3cuZPOP/98Wr58OU2c6HoB7i/oEXfyd0SKYWAT/tuTxIq5SOyVPR6IKMHGhs+Lmtkm+N3hatpcVEdTh8bSvNwECtWoWM6rmFzQyhV/PGMcOxcRbPYXuGKsq+rNyz8W0WtbPAvAGX8dnls9HVkwIpGeiQs31DKPxBsqkc5AQDw7O55tgvUGIsr2dRdOdprAdXS8rpV9LSvYvgHXxI6SBsqICfVZgJ0QYVmDsB5hjXVsy/ZEPR83MaGCjeCRz/QCMxNznkDbM1/aPFWw8b3KZAU6e5DESIrqMOX44VmgCwMRtZTgIVTV2M7+z5edRGo5UtVMj355kLLiwumuZaM0/awMrCWSAAuwP/zwQ7r22mtZcA0mTJhAkydPpo8++mhgBNheng8NtBZxiTlwgRMcI0eLD2xQuICVUqlUND8W1rJNLzYrCLC1Eu7Bqkk5G+dt/rW+gPaXNbK26U/2lLP2uoumZgrbhPEKtivLFB54q7Vu0f86eBVJfRSKRIeZyQ6orD+6Yryh34HN5PIxyfTNwSo6Y3xvtWA9QNV4Z0kDXT17GHt9Et8lfr89XE1p0WE0OjXK668BCWO8DgTY1c3tFBGiLdCvb+2wKVWLBuc8NDnKGtro5LEpNG2o+RVZBMdoO3a8JpRdSa5m5ZWdIFjvQqwJ2gbeRm/CnDrWcSQeKpvamUVkSkwYVTW1m56MdsWjXxyktUeq6cZ52bR8bIrH769saqMfjtXaXrNEIumnAXZtbS2bux4xYkSvf8/JyaF9+/ZRoNPS3sUefAZUCW4FmBs0UxXUV5w3JYOW5CVRZmwYC35cbb35Z8Bx9r0IvvDvaLE0MrMp6U2kYvOBqgivrKASiQ0W3zCYmbXmG6fG9k56+PMDrOIIyyd3ntZKML+H+XHYtOAa497Pzp/Lu+cOqvNbiupY4uDVTUWsGnPepHRhv58n5JTz56jc8q4R/u9mryu8ioTnxXXq6Xq2/dzgQYaDf7TBVzV3UFp0aJ9KoOPaoocHTxtLosi1qrkfrmoW9jsl2shJjKQfC+uYa8fXByrp85vm+uQjhP1VaUMbW2dxj+RrLPYCEH10BQLzM8anUXljm2kOD3hteF1ILmWb7EBw/vM/0tHqZnrx0ik0PCGiT4cKum+QAHa1TuDzWDEhzdYRgjUIa2BpQ6tpQnDgwdPGsMRzdkIE299V8wA73PsVf1TR4VuOc0J5L8D9gTs8IInBO4xqmi0Jmkgd7gqFNS301JrD7Hf/3+ni1kaJJFDx6wC7rq6O/RkdHd3r3/F3/n96CPKDdushQwbTsie+oaIaizeiI7DPefuamfTIWeOYYAZavvzhdYtgZEoUjbR+veLZDcxH1hkIpN6/zu5fefVLm2h/eZPT70XF67ObfbMh0nPslX/668KAoATn3q7SBlpstYh76ccieuqbw+xrBN1mnpMR1g0QNrycy2ZmqX7O7KRIujrJMiD+/o5SuvejvU6/b2xqFPu9J41J0eTXrAd+zBOsFdp7P7YnCuOjxH2eXHjrhY2FtMh67I7VNNOKZzf2+j7ML5p5DMOsgS0sfq54ZQu9qRBuuvyFH1lLojN+Oi+bFo5MpLFpvdd+Ldz61k46Uu389+enR9OLl08jf7nuR6VEsa4DxFL9ZZ0PNCZkxDAfaa7fIPI4aFnzsTYgwP7p69vpq1vn2bpa/vjFAXpra4nLn/v4htl03fxsMpNzpmRQXUsH5SRFmn6e4lpAOuGyl7f0+b8ffrmQblnUu/DiCF7ffaeNsf39N6t200e7y21/nzos1pT3MEvRETX14a9tScTkmFCvX9t8VAB6EVwzAjx21ng6cbTlvvD57jK6a9Ueh5/Tfv63d3fT1wer2NePnGWsQ6g/EAj7PMkADrAhbAYwg63ESNVs8OBBFB/vBVUmg+CixOuMp/6Nu8VniMOxGjLEdcVp8ZiUgDiuSmJifDPnp5alY1Pp/W3FNCoz3vbZhiuy8Mvz0039zE8Yl0bPrStgdlMgKyGcJucm9aquqyUy0nVFZ09ZI72/q4wumpvjtTmy5RPS6ZsDlax6ABaMSqK0ZHG2WSeOTaVdJQ00d1Sy7RjVOXTKo4KzYGyaqcdwVl4QJUXtp8rGNtuapubaf2HjMZo72tg1feK4VHpurX1TqWRI0BCfrRfOrvuTYsJpz+Shpid4JK45ZUom/eXbI1TR0MauHzPODzVr/sn56SwhBeJiIyjemowLDXXfYhyL7zV5dvzaxdrmco1w6sQM+stXB53+X3xcpOYOlxBFVXZ4YgRdOj+XYkwQg+sFLuceBPNxlJsRx/af3uTE8em0amdpHy2OqKhQ2/kdGWV36wB4iUvHa7+3T4oMY59rW0d3wO3FBvI+T2Ieg3r0GN55iaqqKpo7dy699NJLNHOmvfJxzz330NGjR+nFF1/U/Du7urqpvt55xdSbYHMZEh5CdfUt7DU5IqKFMRAw2iLu7Pv8HRx7LLr1Lo69P4G2MrTa8Rk4tJLxubhQF+IyIuHPB5SvQyud3d1u7VogWuWN4Fp57FvaOm0tn2Y8f1tnF/u8eLu4skUcoEXQG9oOGOPALLja61nka3P1HN46fwP1uh+o4FzFmiP6fqL12OPaxbKnXBeUa6EzjKyP/gr/HBzRs14qW+y99Vm1d/dQTHQ4tbe0UbcINUQdODtvMLoTZC1cOd4bYb+p13oQ9xh8zoG0HzMLud73T7COq+1K8OsKdmJiIsXFxVFBQUGvABt/HzVKfyaV2+P4GixCLYMHUWf3IL9+nWYS5OEmp/wM3H1vIH5W2Gj5++sOHjSIurt6qNsapgyy/hvwxmtXPp/ydeiB/x5ndLENRo9Xjz2WaL7JM+P5h+DT6+l9nHp9Bg7/ZybOzhm3176g1+aPa0YgXPcDGZwzZh0ftcce1y5Gh5XrgnItdIbR9dEf4Z+DI3rWS+V6663PCoEqxg1am3p8ds07PW+6LYE1x/H/jbxWM6+fQESu9wMXvx8OWLJkCVMS5+3ihYWFtHnzZlq6dKmvX5pEIpFIJBKJRCKRSCSBUcEGt9xyC/O9vvrqq2nSpEn07rvv0kknnURz5szx9UuTSCQSiUQikUgkEokkcALsjIwMev/99+m9996jmpoauvvuu2nZsmW+flkSiUQikUgkEolEIpEEVoANEhIS6Morr/T1y5BIJBKJRCKRSCQSiSRwZ7AlEolEIpFIJBKJRCIJBGSALZFIJBKJRCKRSCQSiQBkgC2RSCQSiUQikUgkEokAZIAtkUgkEolEIpFIJBKJAGSALZFIJBKJRCKRSCQSiQBkgC2RSCQSiUQikUgkEokAZIAtkUgkEolEIpFIJBKJAGSALZFIJBKJRCKRSCQSiQBkgC2RSCQSiUTy/+3dCZTN9f/H8fdYsqWyln3JQaLsWUIyliwl5RQmJClriUgRsqRFTqG0yAlZwiGtRJayy56ltCAqS0hknfs/r8//973nzjXTDHPN3DvzfJwzZ+b7/dy57vh8t/fn8/58PgYAQPJF+Xw+X3r6j9SfGxsbHn9yxowZ7MKF2NT+GEgF1H36Rd2nX9R9+kXdp0/Ue/pF3ac9GTJEWVRUVJJem+4CbAAAAAAArgRSxAEAAAAACAECbAAAAAAAQoAAGwAAAACAECDABgAAAAAgBAiwAQAAAAAIAQJsAAAAAABCgAAbAAAAAIAQIMAGAAAAACAECLABAAAAAAgBAmwAAAAAAEKAABsAAAAAgBAgwAYAAAAAIAQyheJNcGnOnTtnK1eutKNHj9qtt95qJUqU4L8wjfjrr79sw4YNdvr0abvpppvsxhtv9JedOHHCPv3004t+Jzo62vLly+d+PnXqlDs2Tp48aTVq1LDrr78+RT8/Ls8ff/xhS5YsuWj/PffcY9mzZ3c/63xfs2aNXbhwwWrVqmW5cuWK89rEyhF+Nm3aZDt27Ii3rFq1alaqVCn76aefbO3atXHKMmTIYA888IB/+88//7T169db5syZrXbt2pYjR44r/tmRPIsWLbJKlSpZnjx54uzfs2ePOy6uvfZadx5fddVVIS1H6ps3b541adLEsmbNGme/6u3XX3+1vHnzWpUqVSxbtmz+slWrVrmyQDfccIPVr1/fv71z5073pfv+bbfd5q4TCB/nz593dX///fdfdC04dOhQnH169qtevXqcY+OXX36xYsWKWeXKlS9678TKEXkIsFMhAGvfvr1lzJjRihYtakOGDLHevXtbhw4dUvqjIMS++OILe+6559xD1zXXXGODBg2ytm3b2tNPP+3Kt27dai+++KK1bNkyzu/pgdp7sHrooYesUKFC7uFq8ODBNmrUKHcjR3j75ptv7I033rCGDRvG2d+sWTP3fePGjdalSxe75ZZb3E1a5/1bb71lVatWTVI5wpMC4+AA+8cff3SNbO+//74LsOfPn2+fffaZC5Y8uv57vvrqK+vXr58r1/sNGzbMPvjgAytZsmSK/i1Iuq+//tp69OhhM2bMiBNgT5061caMGWO333677d6923w+n02ZMsX/muSWI/WpjnSO6r7tBdhqUH/00Uftt99+c9ds1d3ff/9t77zzjr+RXfeHqKgod03wnD171v/zK6+8YrNnz3bXgc2bN1uBAgXsvffeixOkI3WNHj3a1X9wgP3CCy9YmTJlXJ15vIb12NhY9wy4bt061+iixlY1vr722muuASWxckQwH1LUgAEDfDExMb5z58657aVLl/rKlSvn27t3LzURwU6dOuWrWLGib/r06f59mzdv9pUtW9a3Zs0atz1p0iRfy5YtE3yP9u3b+/r27evfnjp1qq9q1aq+EydOXOFPj+QaPny4r3v37vGWXbhwwdeoUSPfmDFj/PteeuklX8OGDX2xsbGJliNy6FytX7++b8SIEf59Xbt29Y0cOTLB1+sc/+ijj9y26vvJJ5901wKEH9XPtGnTfOXLl/eVLl3at3HjRn/Zvn373L185cqVbvvMmTO+Nm3auHt+KMqRuvTMNnbsWF+ZMmVc3R88eNBfpv3R0dG+kydP+o8Tnfd61vPoPF+0aFG8771u3TrfzTff7Nu9e7fbPn78uLsnjBs37or/XUja892gQYNcvevcD6S60v4dO3bE+7tz5871Va9e3Xf48GG3feDAAbet/UkpR+SieSQFKfVTvZytW7e2TJn+P3mgXr16VrhwYfvyyy9T8qMgxA4fPmwtWrSwu+66y79PvZGqW/VmeT1bgSnjgY4cOWKrV6+2Bx980L9PKaTqzVy+fDn1Feb+q263bdvmUgPbtGnj39exY0eXsaCshsTKETnUS6UeCWUlBR4bgb1WgXRua8iQl9WiHi5lOGmoQHDKIVLfM88843qxAuvXo3u7so9q1qzptpXarQwm3dt1HU9uOVKXrskzZ850mQvBlHHWvXt3f6+lzuPGjRu7zCRlIWgIkXq0E7oOaOiYei29e4gy4Fq1auUyX5D6mjZt6nqWO3XqdFHZDz/84HqaE8o4Uh0qs83LQlEvt44Nr24TK0fkIsBOQXv37nVjbIMvsrqoatwNIleRIkVcmpButB6Noz548KC7WXoP2sWLF3djsT7++OM4de6lmQYeG2qE0TACjo3wp7rVMbBs2TL75JNP3FiqwLq9+uqr44ynz58/v+XMmdOVJVaOyKD00GnTptlTTz3lT+v8999/3X7Vrcbpff755/b777/7f0fnts5xjb0OvB/ooXzXrl2p8ncgYWoQV0q/HriDqS6DG9m0rfvAvn37kl2O1KW04AULFri5UYJpaFfw0C/dA3TvV7CtIEwNJhoaosBp6dKl9s8///hfm1Dd//zzz3bmzJkr+FchKbp16+bu62XLlk3w3r9//343HOjbb7+NU2e6hwc/8ysY9+7tiZUjcjEGOwUdP37cffcCLo8epNUDirRlwoQJliVLFterrQdmjcvShEe6cOpG+/zzz7sHtZEjR/7nsXHs2LFU+guQFJqcTOfvq6++6nqfFFQNGDDAjcl74oknXN0GNrwE1q1X74mVI/xNnjzZNYx44+5F57x6tDUfgya8Ua90//793VwNylbRuR1c96p3oe7DjxdYq0cymOrSm6zSo4Yzry6TW47UFRxA/xed52psi4mJ8Qdhug507drVypUrZ9u3b3f3jXHjxlnFihXjvQ6o7vXcoJ7v4OMCKUtZpwlR3arRtG/fvq5RRFkL6tF+++23XYeKzt34nuu8czqxckQuAuwUThGX4IkLmMgg7VFP1aRJk2z8+PFuNmi1Vjdv3tw9fGt2UFGgrQu3JrZQ67ZauvUVKHgb4Uc9TAqWlM6piU5EPdmatExBlc77+OpR+/QApQev/ypH+FOPxZw5c+zxxx+PM4GZ6lDHhY4FbwKcDz/80IYPH+6Ojfjq3rsOUPeRJb669O7tCZ3nl1KOyLkfqMdT9wIF1KIMls6dO7s0ct3rVdd9+vRx2S7KbKHuI5d6m3v27Oka1HX+auI6DSdQI6qu9arb+J75vXM6sXJELgLsFOS1UilNPPiC7LVUI/ItXLjQXVzVo6mUQlH9KoU8kJbx0oyjWpbr7rvvdhdU9X4GzhrKsRH+NM5+6NChcfap3pX6q7rVUizB53xw3SZWjvCmelYjWnDqcPny5d1XIDXGaDUBjelTT0V89wNdC7yebESGhOrSK0tuOcKf6uuxxx5zmWtaBcIb+qHG9eAAql27dq4hXvNvUPeRy8tS8KgBRfPnaL4GPc+pbr3z2KNt75xOrByRizHYKUgP3BpXq7HYgbSd0OQXiCwag/Pss8+6yY4Cl9fSGLrp06fHWZZD9CCtHi9vgozAY0NlGr/JsRHeNH5OvZfBAutWy/MFjrlT2p/SAlW3iZUjMpZpU+qnJqkK9N133yU4gaV3bASPr/W2E5o0D+EpvrrU9VxBlu79yS1HeNM1+5FHHnGNolpeK7BxVBPYeZOdBtMzYUJ1r+sJy3SFNy2tFjxfhu796s1O6Bof+MyfWDkiFwF2ClKrptZODJwdUOM3dHLWr18/JT8KrgAFWVof891337U6depcVK5eTq2f6tFFddOmTe61eoDSBVUt2oEzDKtHQ2uiInxprJQaVQJn/NbDlBpHVHcaAqDxdYF1q1ljc+fO7cbfJVaO8Ke6j6+uNBO81jjV+tYeL+DWZEl169Z1DSsrVqzwl2syndKlS7vMCESOO++80zW2aZ6NwPNY1wD1aiW3HOF9D+jQoYMLiDWu2lsf26MhQ7r/e8MEvcZ4jdHVea661+SnamgNXHFG+xHeNGGt1qwODK513moooHdeL1682K2VLurV1rAAr24TK0fkIkU8hWncjZbj0eRHeoiaMWOGG4cbnEaIyKKlljSRkR6Y9ZAUOPO3UsH18K3UMQVimuBEF17VvRpctLyXqEyv0eQnWrJBkyb16tXLTZyE8KUbqVL8Nf5W4201Hldjr5Q6piEAonQxTWrnzS4+ZcoUGzVqlGt0S0o5wpvSPL3zOJCOi7lz57pjQdd5rSqgpX409lIzz4qOG53nWp5Lk+XNmzfPJk6cmAp/BZJDyzKqvjX+UsMA1HCuoEnX+VCUI3xpUks1jGgitFmzZsUp03mv5z19f/jhh+2OO+5wDevKelFjvNLFtSyT6ln3j3vvvdct2alrha4NCG+6d2sWeS3fVqlSJVevmjVe93BRneoeoNdER0e7VQiuu+46/5KsiZUjckVpMezU/hDpjXq29BClcRaVK1d2JxWTWUU2tVCrFTI+CqJ1A5X169e73iq1UqrnMrju9VClnkyte6rfq1WrVor9DUgeLb2ilGBNWqJeJ28928BebbVMK+WzQYMG7oH6UsoRnnQLHTJkiFvGp0KFCheV63hQb5Qa4dSwFl/d6vqhcdxKK9VEiAmtqYrwSQfWHBua2MhrKPHqWhkKmklYjaQKlgKX30tuOVKf0neVAt6vXz//TN/KXEtorfKBAwe6816ZKurtVFZL3rx53bjsggUL+l+n4WMq1zOAesK1DnZ8q0sg9WzZssXVkTpTgmeNV6/1gQMHXN2poUwZaB496yvDUVmLJUqUcOd18Fw7/1WOyESADQAAAABACDAGGwAAAACAECDABgAAAAAgBAiwAQAAAAAIAQJsAAAAAABCgAAbAAAAAIAQIMAGAAAAACAECLABAAAAAAiBTKF4EwAAEDrLli2zLVu2JPq6ypUr24YNG6x79+6WIUPKt5nr316xYoX7OVeuXBYTE5Po7+zZs8fmz5/v306tzw4AwJXAHQ0AgAgIuMeNG2fnz5+3cLJx48bL/lzr1q1zvxsbG3tFPhsAAKmBHmwAAMJMvXr13Jfn6NGjtnXrVuvWrZtlyZIlzmtr165tqS2+z5WQYsWKWc+ePe3NN9+0NWvWXPHPBgBASiLABgAgQqkXePXq1f40a23v2rXL7rvvPlu8eLHt37/fChQoYI0aNbKsWbPaypUrbdu2bZY3b15r3Lix5ciRI8777dy50wW9Z8+etQoVKliNGjUu63MdOXLE9bofPHjQpY7XrFnTihYtGqK/GgCA8EWKOAAAESo4zVrb6hlu2bKlLVmyxA4fPmyDBw+2tm3bWq9evWzChAl26NAhe/31110QfubMGf97DRs2zFq1auXGfus1ffr0sc6dO9vp06cv6TOtXbvWGjRo4AL8U6dOuYC9SZMmNmPGjJD//QAAhBt6sAEASEPUe6zAuFOnTm67SJEiNmLECCtcuLBNnjzZ7WvRooW1bt3ali9fbg0bNrTZs2fb1KlTbfTo0da8eXP3mo4dO7qfFYz3798/yf/+mDFjrHr16jZ+/Hj/vujoaDt27FjI/1YAAMINPdgAAKQxzZo18/9cqlQp9129yMH7lEIus2bNspIlS/qDaylYsKBLI58zZ475fL4k/9tKRd++fbutX7/ev69p06auFx0AgLSOHmwAANIYjbH2ZMyY0X3PkyfPRfsuXLjgvu/evdvy5ctnY8eOjfM+Bw4csOPHj7uU8fz58yfp31Zvt9LR27Vr58Z/161b16WM16lTh+W4AABpHgE2AABpjBdAJ5XGcGfLlu2i/VWrVnVfSZ0hXMqWLWsLFixwa2RrUjWNBZ85c6ab7XzixIkWFRV1SZ8NAIBIQoANAEA6p6WzsmfP7pbPCqQx2pp1PGfOnJf0fgqiq1Sp4r68Jbk0llsznCsABwAgrWIMNgAA6ZxmD9eYafU4ezQp2cCBA93SXVoCLKk94ZqpfNWqVXH2Z86c2fWq586dO+SfHQCAcEIPNgAA6VxMTIybmKxLly5uYjONx164cKELiIcOHZrk91EgriDbe59ChQq5idT0Xr17907yOG4AACIVATYAAGGuXr16litXrovGVlerVs169Ojh72H2tgMpyNU+fffofbSvUqVKblu/P2rUKOvQoYNbx/r8+fNu/ezLmZisW7dubsZyrcl99OhR92/o3ypevHgy/gcAAIgMUb5LWXsDAADgfzRp2csvv2xbtmy5pInQxBuX/f3331umTLT3AwDSBu5oAAAgWRQsK61cqeaJ2bNnj82fP9/1cAMAkNYQYAMAgMvipX9fDqWz6+tSU9ABAAhnpIgDAAAAABACNBsDAAAAABACBNgAAAAAAIQAATYAAAAAACFAgA0AAAAAQAgQYAMAAAAAEAIE2AAAAAAAhAABNgAAAAAAIUCADQAAAABACBBgAwAAAABgyfd/iGMOv2lH/C8AAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig_fc_energy, ax_fc_energy = plot_hev_fc_energy(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "cell-10", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig_res_pwr, ax_res_pwr = plot_hev_res_pwr(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "cell-11", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig_res_energy, ax_res_energy = plot_hev_res_energy(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "cell-12", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig_temps, ax_temps = plot_hev_temperatures(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "cell-13", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plot_road_loads(df, veh, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.14.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/content/hev_thrml_ws_ca.ipynb b/docs/content/hev_thrml_ws_ca.ipynb new file mode 100644 index 000000000..727d39ddc --- /dev/null +++ b/docs/content/hev_thrml_ws_ca.ipynb @@ -0,0 +1,303 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "cell-0", + "metadata": {}, + "source": [ + "# HEV Thermal Demo: Warm Start, Cold Ambient\n", + "\n", + "This demo simulates a Hybrid Electric Vehicle (HEV) with thermal modeling under\n", + "warm start and cold ambient conditions, where the cabin and battery begin\n", + "warm, the engine begins hot, and the surrounding air is cold." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "cell-1", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "import sys\n", + "from pathlib import Path\n", + "\n", + "import seaborn as sns\n", + "\n", + "sys.path.insert(0, str(next(p / \"demo_scripts\" for p in (Path.cwd(), *Path.cwd().parents) if (p / \"demo_scripts\").is_dir())))\n", + "\n", + "import fastsim as fsim\n", + "from plot_utils import (\n", + " plot_hev_fc_energy,\n", + " plot_hev_fc_pwr,\n", + " plot_hev_res_energy,\n", + " plot_hev_res_pwr,\n", + " plot_hev_temperatures,\n", + " plot_road_loads,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "cell-2", + "metadata": {}, + "outputs": [], + "source": [ + "sns.set_theme()\n", + "\n", + "SHOW_PLOTS = os.environ.get(\"SHOW_PLOTS\", \"true\").lower() == \"true\"\n", + "SAVE_FIGS = os.environ.get(\"SAVE_FIGS\", \"false\").lower() == \"true\"" + ] + }, + { + "cell_type": "markdown", + "id": "cell-3", + "metadata": {}, + "source": [ + "## Setup and Simulation\n", + "\n", + "Load a thermal HEV, set warm initial temperatures for the cabin and\n", + "battery, a hot initial temperature for the engine, and a cold ambient\n", + "temperature, then run the simulation." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "cell-4", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "disch_buffer < self.res.energy_capacity_usable()\n", + "disch_buffer: 1.0674736149042887 kWh\n", + "RES usable energy capacity: 0.8800000000000001 kWh\n", + "disch_buffer < self.res.energy_capacity_usable()\n", + "disch_buffer: 1.0674736149042887 kWh\n", + "RES usable energy capacity: 0.8800000000000001 kWh\n" + ] + } + ], + "source": [ + "celsius_to_kelvin = 273.15\n", + "temp_amb = -6.7 + celsius_to_kelvin\n", + "temp_init_bat_and_cab = 22.0 + celsius_to_kelvin\n", + "temp_init_eng = 70.0 + celsius_to_kelvin\n", + "\n", + "# load 2021 Hyundai Sonata HEV with thermal model\n", + "veh_dict = fsim.Vehicle.from_resource(\n", + " \"2021_Hyundai_Sonata_Hybrid_Blue_thrml.yaml\",\n", + ").to_pydict()\n", + "veh_dict[\"cabin\"][\"LumpedCabin\"][\"state\"][\"temperature_kelvin\"] = temp_init_bat_and_cab\n", + "veh_dict[\"pt_type\"][\"HEV\"][\"res\"][\"thrml\"][\"RESLumpedThermal\"][\"state\"][\"temperature_kelvin\"] = (\n", + " temp_init_bat_and_cab\n", + ")\n", + "veh_dict[\"pt_type\"][\"HEV\"][\"fc\"][\"thrml\"][\"FuelConverterThermal\"][\"state\"][\"temperature_kelvin\"] = (\n", + " temp_init_eng\n", + ")\n", + "veh = fsim.Vehicle.from_pydict(veh_dict)\n", + "\n", + "veh.set_save_interval(1)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "cell-5", + "metadata": {}, + "outputs": [], + "source": [ + "# load cycle and set ambient temperature\n", + "cyc_dict = fsim.Cycle.from_resource(\"udds.csv\").to_pydict()\n", + "cyc_dict[\"temp_amb_air_kelvin\"] = [temp_amb] * len(cyc_dict[\"time_seconds\"])\n", + "cyc = fsim.Cycle.from_pydict(cyc_dict)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "cell-6", + "metadata": {}, + "outputs": [], + "source": [ + "sd = fsim.SimDrive(veh, cyc)\n", + "sd.walk()\n", + "\n", + "df = sd.to_dataframe()\n", + "sd_dict = sd.to_pydict(flatten=True)" + ] + }, + { + "cell_type": "markdown", + "id": "cell-7", + "metadata": {}, + "source": [ + "## Visualize Results\n", + "\n", + "Fuel converter power and energy, battery power and energy, component\n", + "temperatures, and road loads under warm start, cold ambient conditions." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "cell-8", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig_fc_pwr, ax_fc_pwr = plot_hev_fc_pwr(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "cell-9", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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dPcQJ2AAAAAB2KHHha0r/5AqVjTpDJbv8TRWDj1QF1y0q7Hr3V/U+t0ufHN15+PDqx9Pun6Vyf7DOsmO7Z+qho0dVP57+yHfKL6t7ePWQTml66oSxTa6r3+/XihXLddhhR6pz58qe5Ntuu0cVFbX/NU2YMEnHHnuCdWx6r1988TnNn/+TFbD/9a9/KyUlVR6Pp9bz69atVUpKihITk+R0OpSVlWU9n5iYaAXtqsetiYANAAAAoGEBn1K/v1uOUEDBlI5cLTQ/gLrdOvHEU3XHHbfo5Zdf1OTJO2nnnadagbqmHj161nqcnp6u8vLKhc8yM7O0aNEC/fjjD1q1aoX++GOJli9fqsmTd454yxCwAQAAADQoceHrchUuVzC5ncqGn8jVijKf/3mXBoeI1/TBuTvVW7Z2SemtGRMbXbYpZsw4R3vtNU1fffWFvvtull577WXtssuuuuGGW7fW27n98PNQKGTd3377TXrnnf9agXrAgEFWQL/vvjsVDQjYAAAAAOoX9Cv1+7usw9Ix50ieFK5WlEluwlzo1irbVH379rNuJ554ij799GNdc82VWrNmtbp27dbg6zZt2mgF8n/+8wbttdc+1rlAIKDc3NzqAL4ts0iaLQP2N998o9dee00333yz9TgvL0+nn356nWW7dOmi++67b7vz5qIee+yx1qpxNZ122mk66KCDWqnmAAAAQHxKXPBajd7rkyJdHcS4zZs36dRTj9eFF16mPffcW8FgUL///psyMzPVrl37Hb7e5XJb86lXrlxuPS4uLta9996h/Pw8eb11rwqQlJSk4uIia/531TD1uA/YCxcu1MUXX2wF55rj7P/5z3/WKrd+/XpddNFF2mefym8rtrVq1Sr98MMPeuyxx6xGqtK1a9dWrD0AAAAQ573Xo8+m9xot1q5de1144aV6+OH79O9//8PqIO3du69uuukOazGyHTFbeV166V/04IP36plnnrAWOzNBfb/9DtTChQvqfM3UqbvrpZee1z77TNVddz2gkSNHt1pLOkL19aO3EdOd/8ILL+jWW2+1vlkwAdv0YtfnlFNOsRrhiSeeqLOr/+OPP9YVV1yhOXPmhKl+QeXmlijS3G6nsrNTlZdXIn89q/4hvtDm9kOb2w9tbk+0u/3Ecpu7Nv2qrNePlJxubT7pGwJ2BNvc5/Nq8+a1ateuizyeBMUDr9erUChorfpdk+mVNr3UycnJDZ4rLy+3MqRhViGvqChXRkamdV9R4a21JZfJnea8CeRNvbY5OalyubZudRbVPdjLli3TQw89pL///e9avHixvv7663rLfvDBB5o9e7befPPNesfRL1q0SP369WvFGgMAAAD2EGg/VLknzZIrdyHhGmGXkFD3FwVpaWmNOlcVrg3T+13VA24C+7ah3YTzusJ1uEU8YHfv3l0fffSRdXFNL3ZD7rrrLk2fPl39+/evt4wJ2GY/NBPYlyxZom7duunUU0/V4MGDW6H2AAAAQHwLJWbK32VCpKsBxISIB+zGjLM3vvjiC6uH+4477tjhXO78/HxrobP9999f77zzjo488kg9/fTTGjNmTLOHeERa1ZCExg5NQOyjze2HNrcf2tyeaHf7ick2D/rlXjVL/h5TzBLMka5NzGmNNg8GaYfW5nI5Wpz9Ih6wG+v111+3AvLAgQMbLHfLLbeoY8eOysnJsR5PnjxZq1evtnq/zbztpnI6Hdb8iWiRkbF1zgHsgTa3H9rcfmhze6Ld7afFbT77MaloXd3PJaRIUy7e+nju01L+irrLujzSbldsfTzvBWnzktplClZK856XBu4vHfdCy+ptY+H8PS8vd2nTJmdYQiC2//LC6XQqMzOl1rDzuA3YPp9Pn3/+uc4///wdlq1rKLgJ5i+99FKzPjsYDKmwsFSRZr79Mr+ghYVl1sJriH+0uf3Q5vZDm9sT7W4/4Wrz9NlPyr1hXp3PmS20CoadWf04bc6z8qyeVWfZkDtZ+SPP21p27ovyLP9fnWVLO4xRRV7kF/yNNa3xe262oDJbWgUCoZhbLC/amWtqrm1BQanKygLbPW/aMmYWOWuM3377TUVFRZoyZUqD5czKcieffLIuv/xyq+e6iunBbsk2XdH0D9j8gkZTfdD6aHP7oc3thza3J9rdflra5uX9DpKrU91THkOe1FrvXdFnX/lzBtVd1plQq2x5773lz+hZZ2gvHXG6xN+eUfF7bkIgWlc4vryIiYD966+/KiUlRX379m2wnFlZzpS7++67NWLECKWmpuq7777Tf//7X914441tVl8AAACgxQJepX12lcqHnyR/x5EqG3tOo19aNuqMRpc17w8gPGJi8P7atWvVuXNna1z8tmbOnKnDDz9cJSUl1XOwzRLsu+22m6ZNm6azzjpLF1xwgQ466KAI1BwAAABonqQFryj5txeU8fapUsDHZQRiQFT1YJ944ok67LDDtjt/zDHHWNtz1WWnnXZSr169qiejmyBuVgzfvHmzdevRo0etzcgBAACAqBfwKWXOvdah1XNtFiYDEPWiKmB36tTJum2rS5cu9b6mXbt21q2x5wEAAIBol7jwdbkKVyiY3F5lQ4+PdHUAxNMQcQAAAMA2gn6lfn+XdVg65mzJw2hMxJfy8nL9/e9Xafr0fXXhhY1fW6A+F1xwlh5//GFFg6jqwQYAAADsLnHRG3IVLlcwKUdlLECGOPTJJx/piy8+0yOPPKn27du3+P1KS0tVUVGhaEDABgAAAKJFMKCU7++2DkvHnCV5UiJdIyDs8vPzrWDdr1//uLu6DBEHAAAAokUoqLIRp8jfbojKh58c6doAYXfnnbfokUce0Lp1a7Xffrvrgw/eq3OItzn35JOPVT9+663Xdeqpx+mQQ/aznps9+5uobB16sAEAAIBo4fKofORpKh9xquRwRLo2iBW+0vqfczgld1Ijyzokd3LzyjbSOedcoKysbL399n/1+OPPWLtBvfjis9sN8a457PuNN17Rf/7ziK688m8aMGCgvv/+O/31r5fphhtu1YQJkxVNCNgAAABAtCFcowk6PDyw3ucqeu2pwoOeqn7c/vFRcvjL6izr7TpZBYe9Uv243VOT5SzPrbOsr+Mo5R/1dpPbKTExSQkJiXI6HUpPT99h+VAoZPV4n3POn7XzzlOsc/vvf5AWLlygJ554jIANAAAARIpnzTdyVBTW+VzI6ZGv1x7Vj91rZ8tZnlf3Gzlc8vbea2vZdXPkLNtcZ1GXyyGNO3xr2Q3z5CxZv125pN9fVkW/A1TRf7rkdDXlxwLi1oYN61VQUKC77rpN9957R/V5n89n9X5HG3qwAQAAEJ8CXitQ+7pPre4RTv3qOnk2zKuzuFm1e/PpP1U/Tv3mJiWsqXueZ8idpE1nLa5+nPL9XUpc/r/661IjYCfPfUBJS2bWWcyz6kt5e+2pUGLmjn8+YIuNZy5seIh4DZtOm9dA2drTEjaf9E3ERlkEgwHr3uv1WvfXXXejhg0bsU0Vom8aBQEbAAAAccn0CKd/eqUq+uyrwgMqF0vy5wy2ep/rEkrMqPU4kDNQvoC37rKuhNpls/rLV55fZ1kTAmr+0R3I6iNfp7F1FHRaC5wRrtFkTVltvrXKtoDH41FFRXmtYeEbN26wjrt06aqEhAQtWrRAkyfvrGhHwAYAAED8CXiVMuce69DXbafq08V73dbotyje7d+NLlsy5dp6n3O7ncqu8bh08pVqYOkowHYGDx6ir776UieccKoyMzOt1cPNsHDD7Xbr6KOP13PPPa2hQ4dr7NjxWrNmtW688TorfF911d8VTQjYAAAAiDtJv78kV9EqBVI6qmzY8ZGuDoAGnHjiqVq+fJmOOOJAaxG0vfaapqlTd69+/rTTzpTf79fVV1+hsrJSq8wee+ylCy+8VNHGETL976hXIBBUbm5JxK+Q9c1ndqry8krk9wcjXR20Adrcfmhz+6HN7Yl2bwMBr3KemSpX8WoVT/mHykadoUiize2nNdrc5/Nq8+a1ateuizye2lMUYo3X65Xf71NKSmqt82bhMqfTKZfLpfLycmt6RWJiYvXzJrqarbu2XdzMbOllXlOzbDivbU5Oqlyu2nPZ60MPNgAAAOKv97p4Nb3XQJRKSEiwbnXNxa5S1wrhJnDXdT4lpW3mijdG42I4AAAAECtzr7+vnHtdNvZcyZ0c6RoBsBECNgAAAOKGs3iNQp5Ueq8BRARDxAEAABA3gpm9lXfsR3IWLKf3GkCbowcbAAAA8cXhVDCrT6RrAcCGCNgAAACIfQGvkn5+SvKXRbomQKtiE6jovqYEbAAAAMTFyuHpn12lrNcON38tR7o6QNiZbagMr7eCqxtmVdfU5Wr5DGrmYAMAAKB1hELyrPlGDl9JnU8HEzLk7zqx+rFn5ZdyBMrrfitPqnzddtpadvXXcvhKqx9XrRxeMehIs5dPGH8IIDo4nS4lJ6epuDjPepyQkGhtW4WW9VybcG2uqbm2Zg/uliJgAwAAoFUkLnpTGR+eX+/zvo6jlX/UzOrH6f+71Nq/ui7+nEHKO/bj6sdpn10ld97iWmUCKZ1UNuy4sNQdiEYZGTnWfVXIRniYcF11bVuKgA0AAIBWUTHgEBU43Ur7+noFk9vVGZprPW4/TMGUDnW+VyCzV+2y7YYo5EnbesLpVunY81g5HHHN9FhnZrZTenq2AgF/pKsTF1wud1h6rqsQsAEAANA6HA55+x+k3P4HNap44YGPN/qti/Z9oAUVA2KbCYROZ0Kkq4E6sMgZAAAAwstfJkdFAVcVgO0QsAEAABBWyfOfVM5TOynp56e5sgBshYANAACA8PGVKuWHB+T0FirkSuTKArAVAjYAAADC2nvtLNusQEYvVQw6nCsLwFYI2AAAAAhr77VRMuEia2VvALATAjYAAADCInn+E3KW51b2Xg88jKsKwHYI2AAAAGg5b4lSfnjQOqT3GoBdEbABAADQYglrvrG25vJn9qb3GoBtMTEGAAAALebtvZdyj/tUztKNzL0GYFsEbAAAABtyFiyXe+P8ep8PpnWRv/O4ygehkBKWvF1/2ZSO8nedqGBWH+sGAHZFwAYAALChpIWvK2XuvXL4y+t8vrzfQSrab0vAlpT5/tn1vldFrz1V2PWpVqknAMSSqAvYXq9XCQkJ250LhUK1zrndbrlcrgbfy7zG4XC0Sj0BAABiWemEixTI6K6kX5+v8/lAdv9aj71dJ9X7XoGcQWGvHwDEoqgK2M8884xee+0161bF5/Np7Nix1nHNsHzllVfqhBNOqPN9nn32WT300EPatGmThgwZon/84x8aMWJEG/wEAAAAsaNi0JHWbYccDhUc9mpbVAkAYlrUBOw333xTN9xwgwYNqv0N6NKlS62Q/d133ykzM3OH7/Pee+/pjjvu0P33369hw4bpvvvu0xlnnKEPPvigUa8HAACIZ4mL3lQgrZv8XcZHuioAEHcivk1XSUmJLrnkEl1zzTUaMGDAds8vWrRI7du3b3Q4fvzxx3XUUUdp4sSJSk1N1WWXXWbdv/HGG61QewAAgNjhqChU2mdXKfu1Q+VZ+UWkqwMAcSfiAXv9+vUqKyvT66+/rilTpmz3/MKFC9WvXz/reNt52NuqqKjQL7/8Uj2k3HA6nRo1apTmzJnTCrUHAACIHcnzn5DT7FWd3V++bjtHujoAEHciPkS8b9++euCBB+p93vRg5+bm6uCDD7aGi3fu3FkzZszQ0UcfvV3ZzZs3y+/3q0OHDrXOmx7wefPmNbuObnfEv4eQy+WsdY/4R5vbD21uP7S5PUWs3b3FSp73iHVYPvEiuRM8bfv5Nsbvuv3Q5vYV8YC9IytWrFB2drZuueUW5eTk6N1339VVV11lrTR+2GGH1SpresKNbVch93g8Vu92czidDmVnpypaZGQkR7oKaGO0uf3Q5vZDm9tTm7f7Fw9K5XlSuwFKm3Sc5Gx4NxaEH7/r9kOb20/UB+yZM2fWenzIIYfo66+/tlYK3zZgJyUlVW/rVZN5nJKS0qzPDwZDKiwsVTR8C2Z+QQsLyxQIBCNdHbQB2tx+aHP7oc3tKSLt7i1R5lf3WHMDS8b/Wd6Cuve+Ruvgd91+aPP4Yv6b3dhRR1EdsM2c66p9sWtu0dWjRw99880325Xv2LGjtT/2xo0ba503j83Q8uby+6Mn0Jr/EUdTfdD6aHP7oc3thza3p7Zs9+QfH5ezPE/+zD4q7XuwxN8SEcHvuv3Q5vYT1RN6zQrjZsEys4VXTfPnz99uO6+qoeAjR46staBZIBDQDz/8oPHj2YoCAADYUzCtmwLp3VU6/kLJGdX9KwAQ06L6v7BpaWk69NBDddddd6lXr15Wz/Wrr76qr776yhoiXhWgzcJmiYmJ1uPTTjvN2prLrBxuwrnZB9v0hJuh5QAAAHZUMfBQVfQ7QHJEdd8KAMS8qArYZnj3tguUXXvttdYq43/5y1+sVcLNXtmPPPKIFaCN559/XjfddJM1Lzs9PV377LOPrr76at15553Ky8vT8OHD9cQTT1hhHQAAIKxCQblyF8kRqHsx1WBSjoIZ3bc88Mu96dfKeXxlSXIVlks15mAHk7IUzOhZ/b7ujT/X+7HBxAwFM3tXP3Zv+KnesqbnOpScI7lq/40FAAg/R2hHm0vbnJk3kZtbEulqWFuFmdXM8/JKmINtE7S5/dDm9kObx77kOfcq7Zsb632+bOjxKt7jJuvYUZ6v9o8Nr7ds+cDDVLTPPZUPAhXq8GC/estW9NlXhQc8Vv24/f295AgFtisXcrhUvNu/VT74T5KLbbkihd91+6HN40tOTmp8LHIGAAAQzcqHHS9X4Uol/f6igikdtns+lJS59YHDoUBaF5llW51Op4LBoGr2cgQTs2q91pStTzApu/ZjU7aOgG2kzL1fgYye8vWY2vgfDADQLPRg7wA92IgUvvm0H9rcfmhze6Ld7Yc2tx/a3L492Kx0AQAA0FQBn9lPlOsGAKiFgA0AANBEKbNvV9brR8i9buvWoAAAMAcbAACgCRzleUr+6XE5fSVylm7i2gEAqtGDDQAA0AQpPzxkhWtf++Hy9pnGtQMAVCNgAwAANJKjLFdJ8/9jHZdOvMRaGRwAgCoEbAAAgEZK+bFG73XvfbhuAIBaCNgAAACN7L1O/oneawBA/QjYAAAAjZD02/Ny+Evl6zCC3msAQJ1YRRwAAKARykafrWBqFwVTOzH3GgBQJwI2AAA25ixaI2fJ2nqfD2T3Vygx0zp2lG6Sq3B5/WWz+iqUlF1ZtixXroKl9ZfN7K1QcrvKsuV5cuX/UX/ZjJ4KpXSoLFtRKFfeonrLBtO7VwZgU9ZbLFfugvrLpnVRMK1r5QNfqdybf6u/bGpnBdO7qWLQ4fWWAQCAgA0AgE2ZAJr12qFyFa+pt0z+wc/I13N36zhx2QdK/+SKessW7PewvP0OsI4TVn6ujA/Pr7ds4d53qWLQEdaxZ+1sZb5zWr1li3a7UeXDT7CO3RvmKeutY+stW7zLtSobfaZ1bMJ19quH1Fu2ZNLlKh1/YWXZgmUNli0de55Kdvprvc8DAGD9f4rLAACAPYUS0pR37MfKePsUuYrr6cV2J20t70mzepPrfT93co2yKQ2X9aTWel2DZRNqlk3aQdn0rQ9cCQ2WDSZkNL7sll58AAAa4giFQqEGS9hcIBBUbm5JpKsht9up7OxU5eWVyO8PRro6aAO0uf3Q5vZDm9sT7W4/tLn90ObxJScnVS5X49YHZxVxAABsyLPmWynEF7YAAIQTARsAAJtxr5ujrNePUNYrB0sBX6SrAwBA3CBgAwBgM6nf3mrd+9sNllyeSFcHAIC4QcAGAMBGPKu/VsKqLxRyelQ6/qJIVwcAgLhCwAYAwC5Coere6/KhxyqY0SPSNQIAIK4QsAEAsAnPys/kWfudQq5ElY67INLVAQAg7hCwAQCwTe/1LdZh2fCTFEzrEukaAQAQdwjYAADYgKM819qWK+ROVunY8yJdHQAA4pI70hUAAACtL5TcTvlHvSNX3iKFUtpzyQEAaAUEbAAA4kDyDw/JWbymzudCnhSVTr5ScjgUyBnY5nUDAMAuCNgAAMSBxMVvybNhXp3PBZNyKgM2AABoVQRsAABiUdAvh7dYoaQs62H54KPk6z61zqIhT3IbVw4AAHsiYAMAEIMSF72htM//ptIJF6ts9JkqH3FKpKsEAIDtsYo4AACxJuhXyuy75PQWSQFvpGsDAAC2IGADABBjEhe+IXfBUgWTsum5BgAgihCwAQCItd7r7++0DkvHnK1QQlqkawQAALYgYAMAEEMSF74ud8Eyq/e6bDjzrgEAiCYEbAAAYkXQr9TZW3uvlZAa6RoBAIAaCNgAAMQI9/of5CxaZe1rTe81AADRh226AACIEf4uE5R7/Ody5y+h9xoAgCgUVQG7tLRUCxYs0JgxY2qdD4VC+uOPP5SXl6devXqpQ4cODb7PrFmz5PP5ap3r16+funXr1ir1BgCgrQQze8mb2YsLDgBAFIqqgH399dfrt99+02uvvVZ9btWqVfrzn/+sTZs2WQH5999/16GHHqprr71WDodju/coKSnRqaeeqvHjxysxMbH6/LHHHkvABgDEpoBProKlCuQMjHRNAABAtAfsiooK/etf/9Irr7yiYcOG1XrummuuUZcuXfTiiy/K4/Fo2bJlOuKIIzR06FAdddRR273X4sWLreD96KOPKikpqQ1/CgAAmjafOnnhK1KH3tLws6rPp3xzk5zlebXKOks3KmHpByofcZKKd72eywwAQJSKeMDevHmzFZRNeN5zzz21fv366uf8fr8Vkk2PtHne6N27t6ZMmaIvvviizoC9cOFCde3alXANAIheAa8y3jtbruLVUtextQJ20sLX5SpaVffL0nu2YSUBAEDMBWyv16uTTjrJGsJ9zz331ArYbrdbDz744Hav2bBhQ73DvRctWqT+/ftbQ8pNb7cpZ3rAAQCIFkm/v2SF62BKBznHn1rrubJRM+TwFm33mmBSlsqHndCGtQQAADEXsE34PeWUUxpdfvbs2Zo7d67OPffcegO2mcd9wgknKCsrS7/++qv22Wcf3XDDDUpISGhWHd3uyO9m5nI5a90j/tHm9kOb20TAq5Q591qH3okXKGnsSXIVllU/7Rs3I3r/p42w4Hfdfmhz+6HN7Sum/l+9Zs0aXXLJJTr++OM1derUOst07NhR48aN0/nnn289Nr3YRx99tO677z5dfPHFTf5Mp9Oh7OxURYuMjORIVwFtjDa3H9o8zs15RTJDwFM7KmmXM61TtLk90e72Q5vbD21uPzETsNeuXauTTz5ZO++8s7XwWX1uuummWo/NnO1DDjlEH330UbMCdjAYUmFhqaLhWzDzC1pYWKZAIBjp6qAN0Ob2Q5vbQMCnjM9ukctsTTn2HPnLpAyP+G+7zfC7bj+0uf3Q5vHF5LDGjiSOiYC9cuVKaxj5HnvsoauvvrrO7bmM8vJyfffddxo1apQyMzOrzycnJ1tzvZvL74+eQGvCdTTVB62PNrcf2jx+uTb+Lkd5gYLJ7VUy5AS5t3xhSpvbE+1uP7S5/dDm9hP1E3r/+OMPa0j4YYcdZvVc1xeuqxZFu+iii6wtvaoEg0F99tln1r7YAABEUqDDMOWeNEsFBzwmeZjyAwBAvInqHuyysjLNmDFD2dnZGjlypD7//PPq58wCZubc6tWrtWTJEmvouAnYZhj4rbfeqlAopB49eui1116zVhS/8MILI/qzAABghBIz5e88josBAEAciqqA3adPH2uYd5WlS5dac6iNJ598slbZQYMGWQHbrBj+/PPPWz3UJmCfeOKJ1jZd77zzjubNm6dhw4bpxhtvVPv27dv85wEAwBL0y7P6G/m67yI1MBILAADENkfIdPWiwXkTubklEb9CZqsws5p5Xl4Jc7Btgja3H9o8fiX+/ooyPr5IFb33VuGBT1Sfp83tiXa3H9rcfmjz+JKTk9roRc6ifg42AAAxLehXyvd3WYe+zqwHAgBAPGv0EPGZM2eqqKioWR9y8MEHKy0trVmvBQAgliUuelPugqUKJmWrfMQpka4OAACIhoB91113acWKFc36ELMAGQEbANBWXJsXKGHZh2Ye1HbPBdK7qGLQkdWPk+c9KoevrM73CaZ0UPnQY6ofJ81/Us6KwrrLmgA9/IStZX95Vs6yXCX99oL1uHT0WQol8GUzAADxrEmLnJntr7p169akDzj66KObWicAAJovUKHMmSfKVbymzqe9XSbVCtgpc+6Vs2xTnWV9HUbUCtgpPz4kV2HdXzb7s/vXCtjJPz0ud+4C6ziYmEXvNQAANtDogN2hQwdrJW5z3xSdO3eWy+VqTt0AAGi6gF/lg45Q6px7VD74KIWctf9XF8jsU+tx+cDD5PAV1/lWwbTaXypX9D9YjvLcusumdKxdtt8B8nUea9YTVcWAQ+i9BgDABlhFfAdYRRyRwuqT9kObh1kwIDmj+wte2tyeaHf7oc3thzaPL6wiDgBAlIdrAABg4yHiBx54YIOLnCUkJFjDx/fee2+df/75SkpKClcdAQDYsYBX6R9dpPJhx8vXbWfJ4eCqAQCA6AzYZiXwgQMH1vt8KBSytvF69tlnlZeXp+uvvz5cdQQAYIeSfn9ZSYvfkmfNN8o98WvJzRe9AAAgSgP21Vdf3ahyixYt0pFHHqlrr71WiYmJLakbAACNE/BZq4EbZWPOIVwDAICIcIb7DQcMGKD09HTl5+eH+60BAKhT0oJX5CpaqWByB5UN27pVFgAAQEwH7A8//FAlJSXq2LH2diUAALRe7/U91mHp2HMkTzIXGgAARPcQ8R255ppr9PXXX2v16tW69NJL5WBxGQBAG0hc+JpchSsUTG6vsmEncs0BAEDsB+zOnTtbC6Hts88+2m233cL1tgAA1C/oV+r3d1uHpWPOpvcaAADER8A2W3MBANC2HCqZeImSf3lWZcNP4uIDAIDYCNhm261NmzapKauOt2/fvrn1AgDEu1BICcv/J0d5XvWpYHI7+XrtUf04cdF/pUBF3S9PypK3996qGHSEdQMAAIiZgP3pp5+qsLCw0VtvlZeXt6ReAIA4l/TbC0r/5PJa57xdJqmgRsBO++JaOcs21vl6X4cRVsAGAACIuYBt5lW/9957Gj16tPbdd1/rcVpaWuvWDgAQnwIVSpl9p3Xo6zjK6o02/DmDaxXzdt9Zzoq6t30MZPZug4oCAAA0niMUCoUaW9j0Sn/yySd65513NGvWLI0fP95a1GzPPfdUdna24lEgEFRubkmkqyG326ns7FTl5ZXI7w9GujpoA7S5/dipzZPmP6n0z69WILWTck/4UnLbc2stO7U5tqLd7Yc2tx/aPL7k5KTK5XKGf5GzpKQk7b///tatuLhYH330kd5++23961//0pgxYzRt2jTtvffe7IENAGiQq2C5QnKodNwFtg3XAADA5j3Y9cnLy9MHH3ygd999V99//71GjBih++67Tzk5OYp19GAjUvjm037s1uau3EUKZPaUXI1b2yMe2a3NUYl2tx/a3H5oc/v2YDeu1A5kZmaqd+/e6tu3r9LT0/XDDz+otLQ0HG8NAIhTgZwBtg7XAAAg/jR7H+xgMKjZs2dbvdYffvih8vPzNWHCBGs/bDNMvFOnTuGtKQAg5pltucziZIGsvpGuCgAAQGQD9rahuqioSDvvvLMuvfRSa6GzrKzKVWABANiOt0TpH18sR3m+Cg59Ub6uk7lIAADAngH79ttv16uvvmqtJG626Lr66qut+9TU1NatIQAgLiT//IScZZsVyOglX6dxka4OAABA5AK26bVOSEjQrrvuKo/Ho2+++ca61eeiiy6Ki0XOAAAt5/AWKWXuA9ZxyYSLJZeHywoAAOwbsJOTk7Vy5Uq99957jSo/Y8YMAjYAoPL/IT/9R86KfPmz+qli4KFcFQAAYO+A/dZbb7VuTQAAcclRUajkHx+yjktN77Wz2etrAgAARLVG/5Xz888/a8CAAUpMbNqWKs19HQAgejmL1yp57v31Pu/rsau8ffaxjhMXvSlnRYH82QNV0f/gNqwlAABAlAbsiy++WI8++qh69erVpA9o7usAANHLUZ6nlPn/qff5Uk9qdcD2dd/Fui+ZeInkdLVZHQEAANpak8bpmWHi2dnZTfoAs5UXACC+hJLbqWT8hfU+7+s6qfo4mJStoj1ukbffgW1UOwAAgBgI2Pfee2/r1QQAEP0CFZIrUcHUTiqddHmjXhJKylb50GNbvWoAAAAxE7Bff/11BYPBZn1IWlpas14HAIgejvJ8ZT+/pyoGTFfJpCslT3KkqwQAABCbAZuQDAD2lvzTY3KVblDCyi9Ussu1ka4OAABA1HFGugIAgOjnqChQ8rzHrOMSs9WWg/99AAAAbCuqNiNds2aNPv30Ux133HG1zpeVlendd9/V+vXrNXz4cE2dOrXB92lqeQBAw5J/+o+c3kJrqy1vvwO4XAAAAHWImi4IE4ovueQSvfLKK7XOb968WYcccog1BzwvL09/+ctfdPXVV9f7Pk0tDwBomMNbpOR5j1jHpRMupPcaAAAgmnuwlyxZossuu0y//fabhg4dut3K5R06dNCTTz4pp9Opo48+2grQhx12mMaPH7/dezW1PACgEb3XFQXyZ/dXRb+DuFwAAADh7MH2+XwKl1WrVlkBuG/fvjrmmGO2e/6DDz7QgQceaIVlo1+/fhozZozee++9Ot+vqeUBAA0I+pX081PWYem4P0tOF5cLAAAgnAH7qKOOsoZez5o1q9lbd1VJTU3V888/r9tuu227lcpzc3O1adMm9enTp9Z583jRokXbvVdTywMAdsDpVv5Rb6tk4qWqGHAIlwsAACDcQ8QPPfRQvfjii9Y8586dO+vggw+2eqEHDBjQ5PfKzs62bnUpLCy07tPT07cL5VXPtaR8Y7ndkZ+q7nI5a90j/tHm9hO1bZ7ZRd6dLo2OOUVxJmrbHK2Kdrcf2tx+aHP7atbfS6eccop1++WXX/Tf//5Xb775ph555BFr/rQJ2gcddJDat2/f4sqFQqF6zzscjhaXbwyn06Hs7FRFi4yM5EhXAW2MNo8xhWukhQ1MSek+Qeo8ovK4eIP0+8ztimRUHXQdU3kzSnOlX9+o/307jZB6TKg8Li+Ufq69YGQtHYZIvXaqPPaWSj+9UH/ZsaeY/xDW/zzCgt9ze6Ld7Yc2tx/a3H5a1CExbNgw63bFFVfo22+/1csvv6wbbrhBN998s/bYYw+dc8451jZZzZWZmWndFxcX1zpfUlKijIyMFpdvjGAwpMLCUkXDt2DmF7SwsEyBQMuG5SM20OYxwlssOT2SO9F66F45X+kzL663eOmUv6kisa917Fq3QBkNlC2bfJnKkwdax85NS5XZQNnyceeqLK1ykUhnwaqGy448RWUZI61jR8lGZTVQ1jf/LZXsc6dCqR3qLYPm4/fcnmh3+6HN7Yc2jy8mhzV2tFmLR/yZOdhff/213n77bX311VfWOdOTbbbLOvLII63wfdpppzXrvXNycqye8GXLlmny5MnV55cuXWoF+5aWbyy/P3oCrQnX0VQftD7aPLqlfnO7Ehe+oeKp/7L2hw4lZKui7371lvel967+HQ65M2qVNSNtEjwueX0Ba+SNL6NfdVmnK7XB9/VmDawu61Biw3XIGVKjrLvBsoHM3vJ5MiX+u9Oq+D23J9rdfmhz+6HN7afZAXvhwoV64403rCHiGzZssLbGOvzww3XEEUeof//+VhmzCNqMGTOsrbLMPOjmmDZtmvU55n09Ho/1uT/88IO1Z3Y4ygNAcznKNit5/pNy+MskV2UPdqDdEBXu/2ijXh/I6lurrFnvISE7VSV5Jdt9kRZM79bo9w2ldmx82cTMRpcFAABAKwRsE5o///xzK8Duueee1h7Tu+66q1yu2tu37LTTTsrKylJpaWmzA/b5559vbd9lbma4+fvvv69jjz1WY8eOtZ434fnTTz/Vueeeq8TExB2WB4BwSfnhQStc+zqOkrfXnlxYAAAAm2tWwE5OTtY111xjLWZW3wrgVe68885GL3g2ZcoU9e7du9a5du3aWT3SH374ofLy8nTPPfdowoQJNeY3uKxgXbWI2Y7KA0D4eq+fsI5LJ1xsxndzYQEAAGzOEapv6e0GmP2mA4FA3W/ocCgpKWm7Pa1jed5Ebm5JpKthDR01q5nn1TF0FPGJNo9uqbP+rZS598vXYaS1T3Q4AjZtbj+0uT3R7vZDm9sPbR5fcnJSW3eRMzOnesWKFQ2WMUPDzSJnF110kTWUHADihaMsV8k/0XsNAACAMATsyy+/3ArOI0aM0AEHHKBOnTqpsLBQc+bM0cyZMzV9+nR17drV2rbL7Xbr4ovr3wIGAGJNwrIP5fCXytdhhLy99450dQAAABDLAdvseW1C9I033ljr/J/+9Cftvffe1rxnsx/2/vvvr+OPP15//vOft1sADQBiVcWQo5WXM0gKBZh7DQAAgGqNG0i+jR9//FHHHXdcnc/ts88+Wr9+vfLz863tuszwcLMnNgDEE3+n0fJ3HhfpagAAACDWA7YJzStXrqx3AbSioqLqx36/n95rAHHBUZ4vZ/HaSFcDAAAA8RSwzd7X119/vT766CMFg1tXtF66dKm1D/Xo0aOtRc6qnt/RVl4AEAuSf3xIOc9MUfKPD0e6KgAAAIiXOdinnnqqfv75Z5133nlWb3aHDh1UWlpqDQvv16+fHnzwQavcTTfdZM3LdjqbleMBIKxceUvk2vxbvc/72w9TMKuPdewo3STPmm+qn3OEAkr+6T9yBCoUyOhJywAAACA8AduE6rvvvluzZ8/Wp59+as25bteunUaNGqV99923eki4WQTN9GYDQMSFQkr77ColrP6q3iJFu/6fyrcEbHfeQmW+f/Z2ZXzth8nbZ99WrSoAAABsFLDN9luDBw/WhAkTrFt9xo1jASAAUcLhUMEhLyj1q+vk3vhTnUWCqZ22Hidkytt1cu0CrkSVTLyUlcMBAAAQvoD97LPPWltvAUBMcThUMuXaRhUNdBimgsNeafUqAQAAIH40a3K0GQ7u8/nCXxsAaAWelV/K4d26uwEAAAAQNT3Y++23ny6//HJ98skn6tu3r9q3b79dmWnTpiktLS0cdQSAZnOUblTmO6co5EpS3p/eVTCjB1cTAAAA0ROwH374YVVUVOj1119vcP41ARtApKXMfUAOf7n87YYomN490tUBAABAHGtWwH7uuecUCAQaLGO27gKASHKUbFDyL09ZxyUTLmFxMgAAAETfHGwTnjt37iy/328NE3/xxReVlJSkpUuXWvOzzXNVW3UBQKSk/PCg1Xvt6zRWvp670xAAAACIvh5s495779X9999f3ZN96KGH6tprr1VycrIeffRRdezYMZz1BIDm915PpPcaAAAAUdqD/fbbb+uRRx7RJZdconfffVfdu1fOa7zlllusnuvrrrsu3PUEgCZJ+eGBrb3XPXbj6gEAACA6e7BfeeUVXXXVVTr66KOtx05nZU4fPXq0HnroIe21117yer1KSEgIb20BoJEcvmKFHE6VTLyUudcAAACI3h7s9evXa9SoUXU+Z4aGZ2RkaPPmzS2tGwA0W/Eetyj3+C/k67ErVxEAAADR24NtFjH74osvNHjw4O2eW7x4sQoLC5WTkxOO+gGAXJt/VygxQ8G0rtbVcBaukGfdnHqvjK/zBAUzuiuY2YurBwAAgOgO2GZBMzNEvLy8XAcddJBCoZC1L7YJ3Wb+9T777KPExMTw1xaA7TiLViv75QNVuO8D8m4J2J613ynjo4vqfU3htPtUkcGe1wAAAIiBgD19+nT99ttv1kri5lZ1zgTtYcOG6W9/+1u46wnAplK+v0uOQIU8q2fJ22eadS6Y0kne7lPrfU0wuX0b1hAAAABo4TZdV155pdWT/dlnn2nDhg3W9lxmXvYee+zBHtgAwsKZv1RJv71oHVf0O6D6vK/HVBX0qD9gAwAAADEVsI3+/furW7duCgaD1edKSkqs+7S0tOrVxQGgOVJn3yFHKKCKnnvI32UCFxEAAADxF7CLi4v1j3/8Q++99558Pl+dZT744AP16sUCQwCax7V5gRIXvm4dl066nMsIAACA+AzYZt61WdDslFNOsbblqqunmlXEAbRE6uzb5FBIFX33l7/jSC4mAAAA4jNgz5o1y1otfNq0ygWHACCcnAXLlLjkHYXkUMnEy7i4AAAAiN+AbXqse/ToEf7aAIBZBTyzt/KOeEueNd8q0G4Q1wQAAAAxoVmrkO200056//33w18bANjC33msysaew/UAAABAfPdg77zzzrrsssu0cuVKa2sus0XXtvbff39rJXEAaApH2WaFkttx0QAAAGCPgP3Pf/5TeXl5mjlzpnWry8SJEwnYAJrEs+orZc48SWWjzlDJTn/l6gEAACD+A/aLL76oQCDQYBlWEQfQJKGQUr+9WY5AhRy+Ei4eAAAA7BGwdxSeFy5cqMzMTLlcrubWC4BdQvVX/5Jnw49SwCvPhnkKuZNUOu6CSNcMAAAAaL1Fzo488khrznVNL7zwggoLC7cre95552nt2rVNrw0AW0lY+oFS5j0iz9rZVrg2ykaermBqp0hXDQAAAGi9HuyCggIFg8Fa5x577DFrRfGMjIymfzIA23OWbVLQk6ZAu8EqHX2m5E6St/tU218XAAAA2GiIeFvJz8/XBRfUPVS0Y8eOuu2227Y7HwqFdMYZZ8jr9dY6f/zxx2u//fZrtboCaLryYcerot8BksOlUCJf1AEAACC2RXXATklJ0fnnn1/r3ObNm3XFFVfo9NNPr/M1q1ev1pdffql77rnHmgdepVevXq1eXwBNF0rK5rIBAAAgLkR1wE5ISNCkSZNqnTvzzDM1YsQIXXjhhXW+ZtGiRVYwnzZtWhvVEkBTeVZ/LQX98pnh4A4HFxAAAABxIaoD9rY++eQTffHFF3rttdfkdDrrDdj9+vVr87oBaKRQUGlf/F3uzb+paLcbVD78RC4dAAAA4kJMBew777xTBx54oIYMGdLgFmGmB/umm27SkiVL1K1bN5100knq06dPm9YVQN0S/njXCtdmcbOK/gdxmQAAAGDPgH3llVcqKSmp+vGGDRu2O1d1Pty++eYb/f7777rxxhsbLGd6sM3nH3TQQZowYYLeeecdHXLIIXr++ec1bNiwZn22293o3cxajcvlrHWP+BeXbR4KKnX2ndZhxZgz5EprF+kaRZW4bHM0iDa3J9rdfmhz+6HN7csRMstuN8KJJ55oLSDWWE8//bTVexwul19+uZYuXapXXnmlwXJz5861PrdTp6376JoebI/HY20r1lTm8jiYIwqExy9vSC+fLJkVwy+cJ6XkcGUBAABgvx5sE5gjxe/367PPPtNZZ521w7Jjx47d7tzEiRP10ksvNeuzg8GQCgtLFQ3fgmVkJKuwsEyBQO39yBGf4q7NQ0Fl/O8GuSSVjTpN5RWJUkVJpGsVVeKuzbFDtLk90e72Q5vbD20eX8zfZ40dYRgTc7DN0PCCggJNmTKlwXLFxcU655xzrBXGx48fX31+3bp16ty5c7M/3++Pnj90zR/d0VQftL54afOExTPl2vy7ggnpKhlxhkJx8DO1lnhpczQebW5PtLv90Ob2Q5vbT0xM9Pv111+ted79+/dvsFxaWpp8Pp/uvfdeVVRUWOd++uknvfXWWzrmmGPaqLYA6uRJkT+rn8pGnq5QUhYXCQAAAHEnJgK2mfvdpUsXuVxmcGlt7733njU/vKSkcqjpLbfcYvVk77HHHjr00EOt50499VQddthhEag5gCreXnsq79j/qXTc+VwUAAAAxKWYGCJ++OGHa999963zudGjRys7O1uJiYnW4x49eujll1/WqlWrtHnzZmt7rszMzDauMYA6OV2VNwAAACAOxUTA7tWrV73PmbnV286vNqt+m6BtboCtBbxK++JaFe++dXu7tM+ulnv93LrLO5zKP+rt6oepX10nz+qv6337/CPelFwJ1nHKNzcrYcUn25VxFa9T2YiTVTrmbMlde0s/AAAAQHYP2GZ+c1WPcZWFCxeqb9++crtjIrMDtpD0yzNKXPiGinf5u+RJts65CpbJs3F+neVDjtq9y67C5fWW3fKKrWWLVtZbNvW7WxVyJ6tszI53AgAAAABiVZPS8Jo1a3TllVda215dcMEFtZ675JJLVFRUpJtvvlmTJk0Kdz0BNJGjolCps++Qw1+qxD/eVsWgI63zJZMuV+moM+p5kaPWw9LxF6ls6PH1f4jTs7XsmHNUPvDwust5kuXrPIE2BAAAQFxrdMA2i4idcsopKiws1PTp07d73iwm9uyzz+rMM8/Uc889p2HDhoW7rgCaIGXu/XKW58mf3V8VAw6tPu/vNLrR7+HvMLzRZQPth1o3AAAAwK4avYq4WTjMzG02W14dddRR2z1/9NFHW2VM7/Xdd98d7noCaAJn0Rolz3vEOi7Z6SrJydQNAAAAIGoC9hdffKHzzz9fHTt2rLeMmZd97bXX6quvvlIwGAxXHQE0Uep3t8gRqJC3yyR5e+/D9QMAAACiKWBv2LBBAwcO3GG57t27KyMjQxs3bmxp3QA0g2vTr0r8/RXruGSXa7abVw0AAACgdTR63Gh6erry8/N3WC4UCqmsrExpaWktrRuAZvCsm2vtNV3e9wD5O43hGgIAAADRFrCHDx+u999/f4crhH/66adWuE5NTQ1H/QA0UfnwE+TrvrNCLvacBgAAAKJyiPiRRx6pV155RW+//Xa9ZZYsWWLNwT7iiCPCVT8AzRDI6qtgeleuHQAAABCNPdhm/vW5555r7Xf9wgsvaPfdd1ePHj3kdDqt+dnfffedPvroIw0dOlRnn31269YawHY8Kz9XMKmdAh3YIg8AAACIhCbt3WOCc+fOna1tuG6++eZaz2VlZen000/XOeeco6QkhqYCbcpfpvT/XSpn8ToVHviEvL33ogEAAACANtbkzXEPPfRQHXLIIfr111+1Zs0aBQIBK3SbOdpuN3vtAm3J4S1S5htHy527wNqWK5DWTd7uu9AIAAAAQAQ0OhG/++67mjp1qrWAmcPh0LBhw6wbgMhJnvuAPBt/qn5cvMvfJDcjSAAAAICoXuTs9ttv1+bNm2ude+qppxq1dReA8HOWrFfKvIet48K97tCm0+bJ2/8gLjUAAAAQ7QG7Lk8//bQKCgrCVxsAjZY89z45/OXydR6vikFHKpTcjqsHAAAARBCTpoEYVTrhEms4eEXvfSSHI9LVAQAAAGyPgA3EqFBSlkp2uirS1QAAAAAQjiHiANqeo6JACoW49AAAAECUIWADsSQUUubbpyjr9SPkylsc6doAAAAAaO4Q8QsvvFAJCQnVj9etW7fduSp33323tT82gPBJWPahPGtnK+ROUsiTyqUFAAAAYjFg9+7dW2vXrpXf768+16tXL+txzXNVQgxhBcIr6FfqrBusw7KRZyiY1oUrDAAAAMRiwH7kkUdatyYAGpT0+8ty5y1SMDFLpWPP5WoBAAAAUYY52EAs8JUp5btbrcPS8RcqlJgR6RoBAAAA2AYBG4gySb8+p3aPj6l1LuutY+UqWa9AeneVjTgpYnUDAAAAUD8CNhBFHOV5Sv3qOjnLNkre4urzwZQO1n3xztdIrsQI1hAAAABAWFYRB9C6UubcK6e3SAGzgJknpfp88dR/qXjX6xRMZWV+AAAAIFoRsIEo4Sxao+T5T1jHxbvfJDm2DjBhxXAAAAAg+jFEHIgSKbNvlyNQIW/XSfL23CPS1QEAAADQRARsIAq48hYr6feXrOOSna6SHI5IVwkAAABAExGwgSiQ8t3tcoSCquizr/ydx0W6OgAAAACagTnYQBQo2flqhdzJKhs9I9JVAQAAANBMBGwgCgTTu6l4r9siXQ0AAAAALcAQcSCSfGVcfwAAACBOELCBSAkFlfXGkcp470w5i9fQDgAAAECMY4g4ECGJi9+WZ8M8BfMWK+RKpB0AAACAGBf1Advv92v06NHy+Xy1zv/1r3/VKaecUudrXn75ZT388MNav369hg8frmuvvVaDBw9uoxoD9fOs+VbJPz4shQLyrJ9nnSsbfZZCye24bAAAAECMi/qAvXTpUitcf/vtt8rKytph+Y8++kg33HCD7rrrLitc33fffTrttNP0/vvvKz09vU3qDNQpUKH0jy6Uq2hV9algcnuVjT6TCwYAAADEgagP2IsWLVK7du0aFa6NRx99VH/60580depU6/FVV11lhe433nhDJ554YivXFqifq3CldR9I6aTSSZdZx76ukxRKSOOyAQCAmFTuCyi/rPZI06xkj5I8rojVCYikqA/YCxcuVL9+/RpV1uv16ueff7Z6rKs4nU5riPn3339PwEZEBbL7K/f4z+TKX6pAO6YsAACA2FJc4dcT363UMWO7qX1qgnVu1rI8XfHWr7XK3XrIUO3Wv32EaglEVkz0YOfn5+uII47QkiVL1K1bN82YMUOHHnrodmU3bdpkDSfv2LFjrfPt27fXTz/91Ow6uN2RX2zd5XLWukeMcidLnYY26hePNrcf2tx+aHN7ot3tJ9bb3B8M6rV5a/XAF8us3uqCcp/+vv/g6r+TE7f5W9mci4a/nyMp1tsccRywFy9ebA0Pv+mmm6yg/O6771rDvt1utw466KBaZcvKKvcUTkio/EatinlcUVHRrM93Oh3Kzk5VtMjISI50FdBU5QXSr29Jo46VXE3/laPN7Yc2tx/a3J5od/uJxTb/dMEGXf/2b1q0odh63K9Dqg4Z26P67+PDJ6bq8Im9IlzL6BWLbY44D9hmcbKajjrqKGvBs6eeemq7gJ2UlGTdb7viuBk6npzcvH/cwWBIhYWlijTz7Zf5BS0sLFMgEIx0ddAESbNuV/J3d8r781sqOfiJRr+ONrcf2tx+aHN7ot3tp6VtvnhjsWavyFcoVPl4vyEdlbNliPYvaws1b3Vhva/de1AHdUyv3A50wfoizVlZUG/Z3Qe0V9fMyr+nF20s1u3/W6JvluVZj7OS3Tp7Sh8dPqqLPC6n8vJKmvxz2Am/5/HF/P42djRC1AfsuvTu3VuzZ8/e7nyHDh2snu2NGzduN3S8U6dOzf48vz96Aq35j3I01QcNc5RtVuIPj1jHZQOPaFbb0eb2Q5vbD21uT7S7/TS1zTeVePXgl8v01s/rtCVbW0Z2SVdGYuWf8bP+yNV9Xy6r9z0GtE9VTrLHOp69PF+3fbKk3rLdM5PUcUtw/2lVgRWu3U6H/jSmq06f3FMZSR6ZivC3aOPxe24/UR2wi4uLNXHiRGt4+MEHH1x9/pdfflH//v23K2+GgputuebOnau9997bOhcMBvXjjz/q9NNPb9O6A0bKnPvk9JXI12GkvH0P4KIAAIBGrcz9/NzVeuLblSr1Baxzk3plKdMEXEnpSVv/hO/TLkXTBnWo972yt4Rro2d2coNlqxYuM7plJuuo0V2tBc3M6wDEQcBOS0uzgrXZ09qsJN6jRw+9+uqr+vzzz/Xkk0/W+ZqTTz5ZV199tcaPH68xY8bo/vvvt4aM17UoGtCanMVrlPxz5b/TkslXSA4HFxwAAOzQ6oJyPfjVMgVD0rDO6bp4974a1S2zzrJmte7Grti9c58c69YY43tmWTcAcRSwjX/84x+6++67de6552rz5s0aMGCAFZpNgDaeeOIJ3XDDDdaQ8YyMDB1wwAFWuX/961/Ky8uzerQfe+wxpaenR/pHgc2kfH+3HIEKebtMkq/HbpGuDgAAtnbP50v1y7r65yo/+KdR1cePfL1cc1bl11v2zsOGV+/z/MS3K/TN8sp5ynW5efpQ5aRVzoF+dvZKfbJoU71l/+/AIVYvcr/2qTpjci91z07SvoM7ysmX9EDMiPqAbRYnu/LKK61bXU455RTrVtOJJ57InteIKGfBMiX99oJ1XErvNQAAbcofDOmLJZu1e/92cmwJp0s2lTS4wFdNf2xuuGzN+dDL8soaLGvqUmXFDsp6a8zPnrEzK3MDsSjqAzYQ7ZxFq+UsWWcdhzypCrQbLEfAK1+XCZIrUb6ukyJdRQAAbOPbZXm647MlWrKpVLdMH2qtjG2cNLG7DhjasVHvYeYd77HldXUxq2hXOXJUF+3cO7vesqkJW//cPmRkF43qmlFv2eyUrfOlAcQmAjbQAq7NC5T90v5yBL3WY1/ncco/4k0Fcgaq4JCXJF/kt3gDACAalHj91dtMbct0MqfWCKINlTXStqygbZR6AwqGQlpXVKH7vliqL//Itc5nJLlV5q9cIMwY273x84nrm+9cl+FdMqxbYwztnK6B7Sv3jwYQnwjYQAukzr7NCtfBxCyFEjMVTO1c+6+FBP4nCgCwp1AoVD082zj+qbnW4l11MatUv3rahOrHZzw/T4s31b3Pcse0BL191uTqx+e/8pPmry2qfuxyOqzVr8+Y3FOZNVbQBoC2QMAGmsm18RclLnlHITmUf9gr1tBwAADsrsIf1AtzV+vLPzZbC4eZwNsWzKdM7ddOF+zaR71zUtrkMwFgWwRsoJlSZ99u3VcMmE64BgDYnumx/njhJt3zxVKt2dJT/b9Fm7TPln2XXz61cgeYxnj6hDG1FhJryMNHj7LKmoDtrjE3GgAigYANNIOjLFeeNd8q5HCqdMLFXEMAQMxZsKFYCzcUW8ed0hM1sdfWhbre/mW9Na+5Lu3TErRT7617Kb/32wZV+AOa+ct6/bi6chusDmkJOm9KH+01sH2dC4PtSFOCMqEaQDQhYAPNEErOUe6JX8uz6ksFsvtzDQEAMWNtYbm1GNj7v2+sPrdrv3a1Avb1Hy6UL1B3wJ7QM6tWwL7548UqqvBbx4lup06a0F0nTuih5C37RAOAnRCwgWYKJWbI2+8Arh8AICaYlbmf/G6lnpuz2ponbYZUj+uRqQS3U4M7pdUqO7lXtgL19GAP7FC77KReWSr1BdQtM1knT+xh9YYDgF0RsIGm/tKsmyN/p7GVq4QDABAj/u/9RfpoYWWvtQnWF+/WT4O2CdZVbj9seKPf94aDh4atjgAQ6wjYQFN+YdbOVvZrh8nXZaLyD31JcvIrBAB2XtTr66V51txjXyC43fPTBnfQtMEdq4dl3/a/Jdaxwyl5PG75fH6Ftrxs9wHtdNCwyq0eN5d4dcOHi+r93J375ujwkV2s46Jyv/753oJ6y47vmaVjxnazjk+d1EOLNhbr/Kl9tFv/drW20AIAhAfpAGiC1O9us+792f0I1wBgc18tzdXFr/9S7/ODOm7tHS7xBvTZks31ljX7QFcp9zdctmONIdi+YLDBsulJW//UG9gxTS+dOl5OgjUAtBoCNtDYX5YN85Sw6kuFnB6Vjvsz1w0AbMisrF0VUM1CX8O7pGtElwz1abf9vss15zV3SE3QVfsMsI7NvtApqYkqLalQIFg5z3lAh9TqsplJnuqydelb47NSPK4Gy9YM7gbhGgBaFwEbaKTE31+x7iv6HaBgRg+uGwDYiNcf1AtzV+vtX9fryePHKMnjsoLyo8eMtu53JDPZo8O2DOt2u53Kzk5VXl6J/P7th5anJbqry+6IqUdjywIAWh8BG2iMgE9Ji9+yDisGHcE1AxDzTM+pGeI8tW9O9Vzcez5fqqdmr6z3Nc+fNE79t/S0PjJruR7+enm9ZR8/drRGdM2wjp/5fpXu+uyPesvef9QITehZuUXUq/PW6MaPFtdb9rZDh1lbSlXt1fyPBuYfX3/g4Oo50P9buFFX/ve3esv+bdpATR9ROQf666W5uvC1n+sta0L2EaO6WseNCdcAAPsgYAONkPjHO3KWbVYwub28PXblmgGIad8uz9Odn/6hxZtKdOdhw7VL3617GqN+HdMSdM6U3jpgaCcuEwCgTo6QWQIT9QoEgsrNLYn4FdrRcDK0rvT3z7V6sEsmXqbSCRe1yeWmze2HNreftm7zZbmlVk/yl3/kWo8zkty6Ys/+2ndIZS9vqTegCn+g3tenJ3nk3tJjW+YLqNzXQNlEt9wup3Vsypny9TFDoj2NLJua4Lb2bTbMXs6lXn+9ZVMS3ErcUtYM8Tb7QNcn2eOyhlsbZkXw4orty2YkecLSY83vuv3Q5vZDm8eXnJxUubb8f2pH6MEGGqFo2r2qGHiotT0XAEQL8x35L+uKtLHYu91zU/rmVIfW39cX6c356/T6/HXW0HATEo8a3VVnTO5pzQ2ukpLgsm6NYQKpuTVGUo3wGs6yJjwnuhMaVdaE8oRGljXXLTulcWUBAKiJgA00hsMpb59pXCsAUWPxxhLd+dkSfbs8v87n/3feztUB+9V5a/XG/HXWsZlz/efd+qp3zvarXgMAgJYhYAMNcBYsVzClg+ThD1EA0eW1n9Za4drjcmhIp3RtO3DZWWMkW4+sZO3SJ0fHjuumSb0qFxMDAADhR8AG6hMKKePji+TKW6zCaffL12Mq1wpAxJj5xkXlPrVPS7Qen7lTL2tO8Yydeql7Vu29jrd10sQe1g0AALQuAjZQD8+ab+RZO1shV6ICOQO4TgDCOnf644WbNGtZnlJTEnTFHn2rn3t69kot2bT94po/rC5U98wk3XvkCGtbrawUj/65/2BaBQCAKELABuqR8v3d1n35kKMVTK3cGxUAWurntYW6/ZM/NH9tofU4NcFVK2DPXpFvBe+6mNWtN5d4q3uxAQBAdCFgA3X9Yqybo4RVXyjkdKt0zDlcIwAttq6wXPd+sVTv/77RepzkdupPY7upd8f0WuUOHdFZE3pmbfd6s6XWtMEdG71yNwAAaHsEbKAOKXPuse7LBx6hYAbzFgG0zJyV+brwtZ+tedRmMbIDh3XSuVN6q0tWcvU+2FX2HNiByw0AQIwiYAPb/lJs/FmJyz5SyOFU2bjzuD5AjFmeW6pNJV6N67G1F/jQR79TfpmvzvIDO6bp4aNHVT8+5snvta6wos6yPbOT9dQJY6sfn/LsD1qWW1pn2Y7piXrplPHW8bDO6cpO9qhLZpIu2b2vBneq3WsNAADiAwEb2IZn9SyF5FBF/4MVyNo6LxJAdCso8+nRb1bo5R/XqH1qgl45dbyStgynLvMFVOIN1Pm6cl/t82Xe+sua99n2cb1la5w39Xj8uNFWvcwCZQAAID4RsIFtlI2eIW/P3azVwwFEP38gqFfmrdUjs5arsNxvnRvQIVXF3kB1wDbhNhis+/VmH+maHvjTKAWCoTrLurcpe9fhw+UL1F3W5axdtgMLkwEAEPcI2EAdAjkDuS5AG2xVtWBDsTwup/q1T7XOBUMha75yfbKSPRrQIa368Tu/rtfj36zQ8rwy63G/9im6eLd+mtQ7u9brumU2vE90TV0zkxpdtnNG48sCAID4R8AGtkiddaOCKR1UNuw4yd34P8YBNJ0J1nd8ukRzVhZo38Ed9H8HDrHOm57jc1+eX+/rdu/fTrccMqz68b/eX2i9xsxvPnuXXpo+oovc2/QcAwAAtBUCNiDJWbRayT8+KEfQL1+nMfJ33rqIEYDw2VRcoQe+Wqb//rxeoS3DqDvWGDrt2NILXZ9O6bWnbgxon2r1Vp8ysYfSEvlfGgAAiCz+GgEkJf9QGa693XYhXAOtwCwk9tyc1XriuxUq81VOhp42qIPO37WPutQYZu12OfXCyZUrbzfG0yfyZRgAAIgeBGzYnqN0k5J/e966DqXjzrf99QAaK6/Uq0dnraj3+bE9MrXXlj2dn/l+lR76erl1PLxLui7evZ9Gds3gYgMAgLhCwIbtJf/0mBz+cvk6jpKv+xTbXw+gPqXegHJLveqeVblGgdme6qUf19Rb3uxGVRWwjxnbTZ8v2azjx3XXtMEd2KoKAADEJQI2bM1RUajk+U9u7b1mf1pgO2Zl75m/rNcDXy5Th7QEPXH8GDkdDqUnunXa5J71XrERXdKrj8386CePH0OwBgAAcY2ADVtL+vkpOb2F8mcPkLfPvpGuDhB1zJZZd3z6h7Xqt5HodmpDUYW1PVVmskfn7NK70e/l4AssAAAQ52ImYK9bt065ubnq2bOn0tK27oFal3nz5snn89U616NHD3Xq1KmVa4lY4+uxqyo2/KiKvvtLDmekq4MYtHhjie77cqkWbgmgVf6+3yBN7FW5F/OHCzbqzk+X1PseV+49QLv2a2cdf/zbel312nxrj+i6XLR7P+0zqHLY9ewVefrHuwvqfd9zpvTWQcM6W8c/rSnUX//7a71lT53UU0eO7modm5/l4td/tlb53ljstc6lJrh0+uSeOnpMNyW4+V0BAACIyYC9fv16XXzxxVqyZIk6d+6sZcuW6YQTTtDll19eZ/mysjIdc8wxGjJkiBITt27nctJJJ2n//fdvw5ojFvg7jlTh/o9GuhqIQWYu8oNfLdOb89cpWEcW9gYqV8quWkF7w5agWpcKf82yQa0vqqi3rHmv6s/whxp831Lv1vf1BYI7KLv1fX3Bre9rtpQ+bGQXnbVzL2WnJNT7egAAAMRAwL7mmmuUkpKizz77TElJSVqwYIEVoPv376/DDjtsu/KLFi2yen6eeeYZ63UA0BpMz+4bP62zenn3HtjeWsTLDJ+uUrUQmDG1Xzs9fcKYet+ra+bWbaqm9G+v504ep0CNgF6TGZpdZVS3jAbft+ae0YM7pTVYtn2Nvaj7tkupLtsuNUEdajwHAACAGA3Yfr9fFRUVOu+886xwbQwaNEhTp061And9Abtr166EazQocdGb8qz9TqWjz1YwowdXyyYKy31aW7B973CvnGQleVzW8aYSrzbX09NreqVHbNlaalDHNJ0/tY/1eEz3zAY/NyvZY90aIzPFoyGd0+Wv0atdH7Nw2OBOWxcSa0hqQuPLJntcjS4LAACAGAnYbrdbTz311Hbn8/Ly1LFjxzpfYwJ2v379VFRUpJUrV1phOysrqw1qi5gRCipl9h1y5y1WIK2rysaeF+kaoZWZYdVPf79KT323UuV1BNdnTxyrgR0r13Z4a/46PfDVsjrfx+V06IWTx6l3TuXomJMm8uUMAAAAYiRg17eA2ezZs3X//ffXG7DNMPJDDz1Uqamp+uOPP6ye7muvvVYeT+N6kLbljoIFfVwuZ637NhEKybPwDTlLN8vfZawCncdapx1lm5Xw++v1vszfcYQC3SZVPqgoVOKvL9VbNtBhqPzdd6584CtV4s/P1V82Z4D8vXbb8sCrxJ+eqr9sVh/5++xV/XMk/vhY9XPOwpVWuA4mZMg36pSoaN+oafM49ey3K/Tw18ut4+wUjzxmYnENiQmu6n8HaUludUyre66xWdxr8aYS9d8SxsONNrcf2tyeaHf7oc3thza3r5gK2Bs2bLAWPDOBec8996yzjAnVBx98sLUImtPptML2cccdZ60gfv755zf5M51Oh7KzUxUtMjK2zutsdT88I723pXd396ukIVMrj73LpM+vrf91u1woDd/SPrkbGi478UxpxD6Vx8UlDZcdfYI0+oDK44pgw2WHHSaNnV55HKy7rHPSmcruXLnCcjRr0zaPs17rqmHf5+49ULOW5emMqX110MguDW4Xdd4+g6xbJNHm9kOb2xPtbj+0uf3Q5vYTMwF706ZNOvXUUzV8+HBdd9119Za7++67az02c7ZNIH///febFbCDwZAKC0sVDd+CmV/QwsKyehc/CqtgQBmf3SYTT3xdJ6kipY98eSXWU45yt1IGHlLvS71pA7aWLXU0WNaXOUTeqrIV/obLZg+vLit/hVIbKOtvN0YVVWVDwe3KBpOyVTb8TKmqTBRq8zaPUoFgSB/8vkFLN1f+Hp46uac1R9j4dNEm/bquaLvXLNlUorxSnx47bnR1mP7PluP8/Mj/PteHNrcf2tyeaHf7oc3thzaPL+Zv8saOKnXHyh7Yp5xyisaOHWuFa5er8o/rbZkF0ebPn6/BgwfX2is7PT1dpaXN/6O6MYsNtRUTtNqiPomLZsqV/4eCiZnKP/ApKSFVqvrclK4q2Oe+ht+gqmxiu8aXdaU3vqwSm1BW9ZeNoraNdJtHI7PP8x2f/qFFG7d+EfKn0V3l2RKav1i8Wa/9tLbO15oS81cXamjnmot11b23dLSxc5vbFW1uT7S7/dDm9kOb20/UB+xVq1ZZe1jvu+++uvLKKxssa3qnZsyYoT//+c9Wb7dhtuz64osvrHCORgqFlDz3XuuwbORpleEaaEMr8sp012d/6PMlm63HaYku7T2wgzwuZ62tsMb1yLQWHttWgsupA4Z2rF64DAAAAJDdA7bX69UZZ5xh9UDvtdde+v7776ufM+fM8O/169dbq4WPGTNGCQkJOuecc6xh4mYF8h49eui1116zQvqdd94Z0Z8lliSs+ESeTb8o5E6pDNhAG/ptfZFOe+5H+YMhuRzS4aO66sydeikrZftFCqcN7mjdAAAAgGgQ1QHbLFCWnZ1tHd922221nhs6dKj+9re/ae7cudZWXo8++qi1wNmZZ56pvn376t1339XHH3+sAQMGWCHbbNeFxnFv/Fkhh1Nlw45XKKny+gOtwcyrfvjrZVqWW6bnTx5Xvb/0gA6p1mrfF+7WV33bMYICAAAAscERMmOo0eC8idzcyC+EZbYQMquZ5+WVtMncTGfBMoU8qQqldGj1z0J0tHlbyi/16eFZy/XavDUKbPkv0OxLd61+vrjCr7TEqP7+r1XEc5ujbrS5PdHu9kOb2w9tHl9yclLja5EztL1gZm8uO8LOFwjqpR/W6NFvlqu4ImCd261fO00fUXu7NDuGawAAAMQ+/opFNWfxGmv7q2BWH64Kwm5Vfpn+/Op8rcwvtx6bYeAX795XE3oyDQEAAADxgYCNaimz71LSb8+rZPJfVTb2HK5MnHl13prqvaTrctme/auP3/p5nRZuKK63rJkbbVb0Nt75dX2de1FXOXdKH6UkuNQ5I0lup1M5KR6dO6W3DhrWuc4VwAEAAIBYRcCGxVGyQUkLXpEjFJSvc+ViU4hdwVBIc1cWaHzPrOpzZsurr5fmNSpgf700Vx8v3FRv2fOn9pFny3b03y3P09u/bqi37OmTe1oB2+106KbpQ9UxPUGpCfynBwAAAPGHv3JhSfnpcTkCFVa49neZwFWJYT+uKtDtny7Rb+uL9eCfRmpcj8qQPW1QRw1u5L7Qe/Rvr17ZyfU+X7PneWq/duqUnlhv2aSqJC6pT7uURv4UAAAAQOwhYEMOb7GSfn7KuhKlY86RHAzbjUWrC8p07+dL9dGWnufUBJfWF1VUP3/gsE6Nfq99hzR+b+m9BnawbgAAAIDdEbChpF+eldNbKH9WP3n7TOOKxJASr18Xv/6L1hSUa3OJV/5gSKZzefrwzjp7l95ql5oQ6SoCAAAAtkHAtruAV8nzHrEOy8acLTkat78bokNqgltpNXqqJ/TMslbmHtChcUPBAQAAAIQPAduG3Gu+k5xu+TuPlTt3oRz+MgVSOql80OGRrhp2oKjcrye+W6Fjx3VX+y2901fs1V8nT6xQZpJHvXKS5WCIPwAAABARBGybSfjjXWW+O0MVffdT4f6Pyt9huHJP+lau/CWSq/6FqtD2lmwsUVKpX4WFZQoEgvppTaEe/nq5Csr9Kijz65p9B1rlzPZX5gYAAAAgsgjYdhIKKWXOfdahs2T91tMJafJ3HBXBiqEul7z+s1bklW133qzEvdeg9lw0AAAAIMoQsG3Eve57eTb8qJArUQUHPB7p6qCGxZtK9MZPa3XJHv3k3DLE2yxQ5guGFAyGFDJfjiS4dPSYbjp0ZBdrT2kAAAAA0YWAbSMpPz5s3ZcPPEyhFLZViga5pV499NVyvTF/rYIhaUin9OrttB4/foyys1OVl1civz8Y6aoCAAAA2AECtk04C5Yp4Y/3rOOyUTMiXR3bWltYrpk/r5c/FFKpN6D//rxOJd6A9dyeA9prVLeMSFcRAAAAQDMRsG0ief4Tcigkb8/dFGg3KNLVsa3UBJde/GG1tVBZlSGd0nTx7v00pntmROsGAAAAoGUI2DbhrChUyOFU6cgzIl0VWyn3BfTBgo06eFgna/usjCSP/rL3AP2wqsB6fmTXDO0zuEP1vGsAAAAAsYuAbRNFe92ukomXKpjWJdJVsQWzKNn7v2/UvV8s1fqiCqUnurXHgMqVv/ce1MG6AQAAAIgvBGwbCaZ3i3QV4toxT35ffWzmV68trLCOO6Unsuo3AAAAYAME7Djn2rxAIXeigpm9I12VuLKusFy/ri+2FiarsmRTaa0yyR6nTpnYU8eN66YkjysCtQQAAADQlgjYcS716/9TwopPVbz7jSofdnykqxMXc6qfmr1ST81eZT0eeup4dc5Iso7vP2pErbID2qcpK8UTkXoCAAAAaHsE7Djmyv9DiSs+UUgOebvtHOnqxLzf1xfp6rd/14q8MuvxmG4ZqqixP/WEntkRrB0AAACASCNgx7Hknx637r2991Iwq0+kqxOzisr9evSb5XrxhzUKBEPqkJagS/foZw0PNyuDAwAAAIBBwI5TjopCJf7+snVcNvL0SFcnZvkCQR331BytK6pcsMyE6r/uM0BZyQz9BgAAAFAbATvGOYvWyLPmG/k7jVYgq2/luZL1Spl9p5y+EvmzB8jXfUqkqxmzPC6nDhzWSR8v3KhL9uinnXrnRLpKAAAAAKIUATuWhYLKfOsYufP/UNHuN1YHbFfuAiX/8rR1XDbyNIlhzI0SDIX09dJczfxlvY4d202jumVa50+d1FNnTO4pt8vZem0JAAAAIOYRsGOYWR3chGsjmLx1u6hQYpa8PXZVIL2bygcfFcEaxo4fVxXo9k+X6Lf1xdbjdYUV+s9xo6051olugjUAAACAHSNgx7Cknyt7qUtHni5v3/2qz/s7jlTB9OciWLPYsbqgTPd+vlQfLdxUvXf11L7tdNLEHixgBgAAAKBJCNgxylm0WgnLP7aOy4efGOnqxKQX567WXZ//IV8gJKdDmj68s87epbfapSZEumoAAAAAYhABO0Yl/fKsHKGgvN12USC7f6t9zoINxXrwq2X1Pn/I8M7afUDl8PRlm0utwFqf/Yd01LTBHat7jm/935J6y+41sL0OGtbZOt5YXKF/f7io3rJT++bo8FFdreOCMp/+8d6CestO6pWtY8Z2s467ZSVZ4XpCzyxdvHtfDeiQVu/rAAAAAGBHCNixKOBV8q/PW4dlrdx7nV/m05d/5Nb7/PgeWdXHhRX+BssO75JefVzqDTRYtl/71Orjcl+wwbLdMpNqbavVUNl2KVt7p3fpk6NHjxmlkV0zGA4OAAAAoMUI2DHI4StRRZ995Fn9tbx99g3b+1b4g3p+ziqV+QI6Z0of61yfnBT9bdrAel8ztEZo7p6V1GDZQZ229hB3TEtssGz/DlsDdnaKp8GyfdqlVB+nJbobLNszO7n62CxgVrVSOAAAAAC0lCMUCoVa/C5xLBAIKje3JNLVkNvtVHZ2qvLySuT3BytPBgOS09Xi9zb/BD5csFH3frFUawsr5HI69Mqp49U9a2sYRZS0OeIabW4/tLk90e72Q5vbD20eX3JyUuVq5Ja99GDHshaE69xSr975dYMVrj9dvFk/rSm0zndMS9B5U/uoa41h1wAAAACAHSNgxxjP4nel5E7ydxxlxjg3+nXBUMia92yGUBubir2667OtC5IluZ3W1lQnju+uJE/Le8UBAAAAwG4I2LEk4FPKJ3+Rs3Sj8g96Wr5eezTqZfNWF+j2T/9Q14wk3XDwEOtcRpLbWtXbMNtSHTu2mzqmJ7Zq9QEAAAAgnsVEwPZ6vfrf//6n9evXa/jw4Ro3blxYy8eMhe9b4TqY3F6+7lN2WNxshXXv50v10cJN1uPluaXaVOJV+9QEdc5I0r8OGNwGlQYAAAAAe4j6gJ2fn68TTjhBSUlJGjx4sO6//35Nnz5dV199dVjKx5S5T1l35YOPklweFVf49fTslRraOV279a/ci/q39UW6/ZMlMkvXmWNvICQzkHz6iM46e5feVrgGAAAAANgwYJuAnJqaqmeffVZut9sKz0cccYQOPPBAjR49usXlY4WjaI20+EPruHjwMXp93ho9+NVy5ZX5dOVe/avLmdD94+rKBcuM8T2zdPFufTWw49YtsgAAAAAANgzY7777rs466ywrLBumV9oE5XfeeafOwNzU8rEi8beXpFBQue3G69j/5mnJptXW+V7ZyRpSY3/pfu1TddP0odZxuxSPRnbNsPZ7BgAAAADYOGDn5uZqw4YN6tevX63zffr00cKFC1tcPmaEgnL+9Jx1eN3aCVoSLLUWKZuxUy8dOaqL3DX2ZMtJSdCeAyqHiwMAAAAA2k5UB+zCwsqhzmlptYc3m8dVz7WkfFM2io8kZ+FqlVVUqCKUog81SceP764ZO/dSZrInovVC66razL6xm9oj9tHm9kOb2xPtbj+0uf3Q5vYV1QE7ZFbqMvOPtxniXN+Q56aWbwyn06Hs7FRFVPZgbfrzT3rotff11oH7qG8H5lPbSUZGcqSrgDZGm9sPbW5PtLv90Ob2Q5vbT1QH7MzMTOu+pKSk1nnzOD09vcXlGyMYDKmwsFSRluBy6upTDlNhYZny8mr/fIjfbz7Nf5RNmwcCwUhXB22ANrcf2tyeaHf7oc3thzaPL+Zv8saOKo3qgJ2Tk6Ps7GwtX75ckyZNqj6/dOlSDRo0qMXlG8vvj55wY4JWNNUHrY82tx/a3H5oc3ui3e2HNrcf2tx+on5y5z777KP//ve/CgQC1uNly5bphx9+0LRp08JSHgAAAACAcIjqHmzj/PPP15/+9CeddNJJGjlypBWeDz74YE2cONF6fv78+Zo1a5ZOOeUUJSQk7LA8AAAAAAC2DNidOnXSW2+9pZkzZyovL0/XX3+9dtttt+rnvV6vtUJ41QJnOyoPAAAAAEBrcISqkinqnTeRmxv5RcXMVmFmNXOzwBlzsO2BNrcf2tx+aHN7ot3thza3H9o8vuTkpDZ6kbOon4MNAAAAAEAsIGADAAAAABAGBGwAAAAAAMKAgA0AAAAAQBgQsAEAAAAACAMCNgAAAAAAYUDABgAAAAAgDAjYAAAAAACEAQEbAAAAAIAwcIRCoVA43ihemcsTDEbHJXK5nAoEgpGuBtoQbW4/tLn90Ob2RLvbD21uP7R5/HA6HXI4HI0qS8AGAAAAACAMGCIOAAAAAEAYELABAAAAAAgDAjYAAAAAAGFAwAYAAAAAIAwI2AAAAAAAhAEBGwAAAACAMCBgAwAAAAAQBgRsAAAAAADCgIANAAAAAEAYELABAAAAAAgDAjYAAAAAAGFAwAYAAAAAIAwI2AAAAAAAhAEBGwAAAACAMCBgAwAAAAAQBgRsAAAAAADCgIANAAAAAEAYuMPxJvEsFAopGAwpGjidjqipC9oGbW4/tLn90Ob2RLvbD21uP7R5fLWlw+FoVFkC9g6YQJubW6JIc7udys5OVWFhqfz+YKSrgzZAm9sPbW4/tLk90e72Q5vbD20eX3JyUuVyNS5gM0QcAAAAAIAwIGADAAAAABAGBGwAAAAAAMKAgA0AAAAAQBgQsAEAAAAACANWEQcAAACAOBIMBhUI+CNdjZjgcrnldIav35mADQAAAABxIBQKqbAwV2VlxZGuSkxJTk5TRkZOo/e6bggBGwAAAADiQFW4TkvLVkJCYlgCY7x/IeH1Vqi4OM96nJnZrsXvScAGAAAAgBgXDAaqw3VaWkakqxMzzBcRhgnZ6enZLR4uziJnAAAAABDjAoFArcCIxqu6ZuGYt07ABgAAAIA4wbDwyF4zAjYAAAAAAGFAwAYAAAAAxI2rrrpcjz32UEQ+m4ANAAAAAIgbeXm5Ki6OzFZlMbuKeGFhoXJzc9W1a1clJCTUem7hwoXVk/yrdOrUSTk5OW1cS6Bx2wN88PtGrS0s1zFjuynJ4+KyAQAAADEo5gL25s2bdeWVV2rOnDlq3769Nm7cqBkzZui8886zni8vL9chhxyiPn36yOPxVL/u9NNP1/Tp0yNYc6BuL/+4Rrf8b4l1vKqgXFP75ignJUGje2RyyQAAAGA7RUVFevrpx/Xrr79ow4b1Sk1N1eTJu+j008+S210ZYd9//x299dbr2rx5k7p06apjjz1REydOrn6P8vIy3XffXfruu2+sRcwOOOBg/elPx7Z63WMuYP/tb3+T1+vVF198obS0NP3000864YQT1Lt3bx144IFavHix1SP48ssvWw0BRLs35q+rPn5z/jrrdsDQjhrejf0LAQAA0HJlvtqje2tyOhxKdDsbVdastV1ztGVTyjbF3/9+lbVl1gUXXGJluu+//1a3336zunXrpoMOOlQvv/yCHnnkAV188eUaPHio5s2bq7/85RLdf/+j1mNj5sw3dcYZZ+u6627U3LmzdeutN6pHjx7aaacpak0xFbD9fr/VY33RRRdZ4doYOXKkdtttN3388cdWwF60aJG6dOlCuEZM2FhcoUUbS6zjKX1zVFDmV+eMRP117wHyuFgiAQAAAC23691f1fvcLn1ydOfhw6sfT7t/lsr9wTrLju2eqYeOHlX9ePoj3ym/zFdn2SGd0vTUCWObVd+//vVvysjIUGJikvW4e/ceev31V7R69WqrM/WZZ57Q8cefpP33P8h6vk+fvtp11z2UlJRc/R7jxk3QySefbh337NlLr732subN+5GAXZMZDmB6puuaj101v9rMv+7bt68qKiq0du1ade7cWUlJlQ0DRBszXOW4cd20Mq9Mtx+29T9sLeUPBPXz2iL1yklWdkrtNQoAAACAaNahQ0ctX75MP/44V6tWrdQffyzRypUrFAwGrSHh5jZixNagb+TktKv12ITqmjIyMlVWVtrqdY+pHuy6/Prrr/r222911113WY9ND/aSJUu07777WoF83bp1Ov7443XFFVfI5WreEAV3jSETkeLa0ptZdY/40DkzSZfvPWC788FQSAs3liiQW6bhHZo+1eHeL5bqye9Wqmtmkt6YMZHe8BjB77n90Ob2RLvbD21uP5Fo82DQDMqu2+d/3qXBIeI1fXDuTvWW3fYT3poxsdFlm+Lee++0epzHj5+gAQMG6dBDD9f69VunVRpVc7Hr43Jt/7zp/W74NY4WZ7+YDthmFfGLL75Y+++/vxWoDROizZDxq6++2lpd3MzRPvnkk9WuXTudeeaZTf4Mp9Oh7OzomcudkbF12APi1zvz1+rcZ+dqcOd0vXfRrk1+/arCCut+TUG55q4r0X7DO7dCLdFa+D23H9rcnmh3+6HN7act27y83KVNm5x1hsT0JoTG1irbWKZ3+oUXntE//3m99t13f+uc6bm++eZ/y3wX0KlTRyUnJ2vlyuUaO3ZsvaNEnc7aHaWV5+oO0ObLCafTqczMlBaPfo7ZgJ2fn2+tDN6rVy/ddNNN1ecfeqj2huJmjvahhx6qmTNnNitgB4MhFRa2/lCCHTHffplf0MLCMgUCdc+JQGxZsrFEK/PLNLVfO7mctb/j65NROax7ycZi5eWXmq/bmvTetx4yVFeEQvpwwUbNXrJRk7qlh7XuaB38ntsPbW5PtLv90Ob2E4k293orrCAaCITkr2cOdSwIBEJW2DUjkc3PUVZWpvvvv9va27q8vMJ6/vDD/6Snn35Co0ePU7du3a2Vxv/618usVcL33fcAq6c6GFSt61B5ru5rY97TXLuCglKVlW2/cJtpy8aORojJgG226jr11FPVr18/3XzzzdXbcZnVxc3wcBO6U1JSqstnZ2e3aKPxaPoHan5Bo6k+aL6nZ6+0Vgw3e19fuke/Ws9lJ3nkcki+QEgbCsuVk7x1y7nGMgtLmIC9Kq+MfzMxht9z+6HN7Yl2tx/a3H7ass1NSIwHOTntdOGFl+rBB+/TM888aQXbqVP30N5776vFixdaZU47bYYKCwt04olHKyUlWX5/QIceeoRVpiXC8eVEzAXs9evXW0O+J0+erGuvvdb6dqOmY445RpdddplOPPHE6nNff/21Ro8eHYHaAvWbt7rAup/UK2u750yPdsf0RK0trNC6ZgZsM//aWFNQOVwcAAAAiAVHHHG0DjvsKBUXF1mLkxmlpaUqLa3cfcesLn7lldfo4ouvUElJibKysqwh4FX+/e9bqzthq1x33U07nLcdDjEVsH0+n8444wwlJibq6KOP1oIFC6qfMz3WpufaPH/33Xdbj80+Z6+++qq1N/aNN94Y0boDNRVX+LU8t8w6Htq57uHbnTOStgTsCg3t1Pgh3mc8/6PM95eHjqicd722sJyLDwAAgJjidDqrw7Vh8l3NUcqGWXPL3LZlRjA35pzsHrB/++236h7rv/zlL7WeGz58uK6//nqdf/75VtB+5513rEXQBgwYoFdeeUW9e/eOUK2B7f20ptAKwV0zEpVTzzZa3bKS9MOqAi3PK23S9ly/rCuSPxjSFXv1114D26trRpI156Tmt3oAAAAAbB6wzYJlb775ZoNlTIiYPn26dQOiyfLcUi3aWKIJPbP0zbI869yEXvV/kzagfeXq9Ys2VA6FaQzT423CdZLbqYEdUnXjwUPDUHMAAAAAcRewgVj2/u8b9MisFdpzQHsVlvusc1P65NRbfqe+OUpJSdSAnMZvFbCpxGvdd0hLoMcaAAAAaGMEbKCNzFtdaN1/tTRXFf6gOqcnakrf+gP2gA5pmjiwk/LyShq9mmFuaWXArhp2HgyFlFvitfb8q28oOgAAAIDwIGADbWRpbmn1HtUl3oC1uJm7kfvpNdbmLT3Y7VIrw/TNHy/Wq/PWasZOPXXmzqxDAAAAEO/M2juI3DUjYANtoKjcr43FleF3eJcMpSU27ldvZW6pvvhtvbVNl5lXvbqgXNMGd6y3/ObSyqHnOSmV2xJkbtneK2/LeQAAAMQnl8tl3Xu9FUpISIx0dWKKuWaGy9XyeEzABtrAqoKy6p7lxoZr44Nf1+u6mb8p2eOU2+nUwcM7NRiwk91Odc9Kqt4DO7sqYJcRsAEAAOKZ0+lScnKaiosrF9M1IZtdZHbcc23Ctblm5tpV7VjVEgRsoA3kllQG3PZbhm431uFjuun6t39Vmc/MwQ5qTUG5tUq421n3llunTOpp3apUB2x6sAEAAOJeRkbl+j5VIRuNY8J11bVrKQI20AaqFh/L3jJ0u7GyUxM0uFO6fl1XZD0+eWKPesN1XbK2fB492AAAAPHP9FhnZrZTenq2AgF/pKsTE8yw8HD0XFchYANtYHzPLP37oCHKaMLw8CrHjOuma9/+3ZpXbdZfuODV+db7XH/QkDoXZ6g5FKiqBzufHmwAAADbMIHR6WQHmUggYANtoEtGknVrjoOHd1Z2klvtUxPlDQT1zbI8ZSa5rUBdM0z/uLpQl7/5iyb2yrbCfM0e84Jyn7Vll7NGeQAAAADhRcAGYsDk3pVzQnyBoDwuhwrK/daK4t2zkqvLLN1cYp0v8W4dDpSV7NF+QzpaPdm+QEiJbgI2AAAA0FoI2EAb+PKPzVbAHdk1o3qP6ubwuJwa0CHNmpNtbjUD9h+bK/fZ7pOTWqv8dQcMbmHtAQAAADRG+GZzA6jXg18t1xVv/arfNxS3+CoN6ZRm3f+6rvZ7Ld0SsPu2S6ElAAAAgAggYANtIG/LKuJmobKWGto53br/bX3lyuJVluZu6cHeJmCbYeUbiytUXMFKkgAAAEBrImADrcwsRpa7ZRXvqlW9W2Jop8qAPXdVgRWcjaJyvzYWe+sM2H/572864KFv9f7vG1r82QAAAADqR8AGWllRhV/+YOUWWtkpLd8uoVdOshJclYuVHfvkHCvAL9xYOVy8U3qi0rbZCqxqJfE8tuoCAAAAWhUBG2hluSWVvdepCS4lulv+K2cWLvv4vJ3ldJjtt/xaX1Qhl8Ohyb2yrdu2qvfCLqusBwAAAIDWwSriQCvbsGUYd/sWrB6+rSSPS/3bp2rhxhLNWVmgA4d10j1HjqizLD3YAAAAQNugBxtoZaaH2eiSkRTW9520pbf6ga+WyR8I1lvO7IVt5NGDDQAAALQqAjbQyib2ytaNBw/R8eO7hfV9Z+zcy1qV3AT45+asrrdcVQ82Q8QBAACA1kXABlqZWXhsr4EdNLl3TljfN9nj0iEjOlvH93yxVK/8uKbOclVzsCv89fdyAwAAAGg5AjYQww4f2UXJHqc6piVo9/7t6izTPStZKR6XzpvSu83rBwAAANgJi5wBrey5OauskGtW+E4IwyriNXXOSNIrp06werPTk+r+dTbbdr162ni5nXyfBgAAALQmAjbQivJKvbrj0z9kdq3+/M+7tMpndExP3GGZ9mmJKvcFtKag3NoqrF0YVzQHAAAAUIkuLaAVLc0tte67ZCZZW2tF0r1fLNUhj37X4IJoAAAAAJqPgA20oqWbKwN233YpEb/OW1cT90a6KgAAAEBcImADbRCw++REQcCu2g+71BfpqgAAAABxiYANtKI/qgJ2FPRgZ6VUzrtmP2wAAACgdRCwAbsMEd/Sg/3LuiJr8TUAAAAA4UXABlpJYblPm0oqg2zvKAjYOVvmYAdD0mPfrIh0dQAAAIC4wzZdQCtJSXDr2RPHalV+mVITIv+r1jM7WSO7ZmjRxmLt1Dsn0tUBAAAA4k7k/+oH4pTb6dDAjmnWLRo4HA7dd+QIzV9bqLHdsyJdHQAAACDuMEQcsBGzF/eEntlyOR2a+cs6/eu9Bdq8ZRg7AAAAgJahBxtoJU98u0KJHpf2GdRB7VMrV/COFiZc//O9hdZxp/REnbVL70hXCQAAAIh59GADrSAYCunJ2St1+ydLorKHePf+7TWkU+XQ9V/XF0W6OgAAAEBcIGADrWB1frmKKwJKcDnULwpWEN9WWqJbV+7V3zr+dV2xQqFQpKsEAAAAxDwCNtAKludV7n/dKydFbld0/pr1a58qh6T8Mp/yynyRrg4AAAAQ86LzL38gxq3KL7fuu2clK5oXPOuWlWQdL91c+YUAAAAAgOYjYAOtwOx9bXTPrAyw0apPTuXw9SWbCNgAAABAS7GKONCqPdjRHbD3HtRBfdunamjn6NirGwAAAIhlBGygFayoMQc7mh0wtFOkqwAAAADEDQI20AqeOmGsVuaXqVd2dAdsAAAAAOHDHGyglbbBGtIpXSkJrqi+vmZ7rpV5ZZq3ukD+IFt1AQAAAC1BwAZszETqI/8zW2e8ME/5pd5IVwcAAACIaQRsIMw+XrhRN3+8WF8vzY36a+t0OJSZ5LGO2QsbAAAAaBkCNhBms5bl6eUf12j+msKYuLZZKVsCdqkv0lUBAAAAYhoBG2iBv/73N132xi9aurly1XB/IFjdcz2gY2xsfZWdXBmw88sI2AAAAEBLsIo40ALfLM9VcUVAGUlu/b6hWON6ZGljsdcKrVP65MTEtc2mBxsAAAAICwI20EzFFX4rXBuzV+RrXVGFFm0ssR4fMqKzEtyxMUAka0sPdi492AAAAECLELCBZjKB2khPdOvfBw3Riz+sViAoqzf7xAndY+a6Vg8RZw42AAAA0CIEbKCZNhVXBuyO6Qka0TXDusWi8T2zFAyFYrb+AAAAQLQgYAPNtKmkct/o9qkJMX0NzbxxcwMAAADQMrExSRSIQpuKKwN2uxgP2AAAAADCg4ANNJM/GFKyxxnzPdjm51iRV6Zf1sbGvt0AAABAtGKIONBMZ+zUy7qZgBrLzP7XRzw+Ww6z7dglU+V0mCMAAAAATUUPNtBCbmdsB9LMpMrv2UJbth4DAAAAYMOAHQqFWvQ8AMnjcirF47IuRUEZARsAAACwTcAuKyvTv//9b+2yyy4aMWKEDjjgAL3zzju1yjz77LPaddddNWzYMB1xxBGaP39+xOqL+HXmCz/q4td/Vm5p5WJnsczs3W0UlvsiXRUAAAAgZsVcwDbh+uuvv9ZTTz2lH374QWeffbYuu+wyzZo1y3r+vffe0x133KFbb71Vs2fP1qRJk3TGGWeooKAg0lVHHCn1BvTD6kJ9+UeuEt0x92tUb8AuKKcHGwAAAGiumEoGfr9fH3zwgc4991z169dPHo9H06dP184776w333zTKvP444/rqKOO0sSJE5WammqFb3P/xhtvRLr6iMM9sM0q4qkJsb9WYEayx7ovJGADAAAA9gjYbrdb3377rTUsfNvzRUVFqqio0C+//KKxY8dWP+d0OjVq1CjNmTMnAjVGvDIrbxvZW4JprMtiiDgAAADQYjHf9bZ69Wp99dVXuuaaa7R582arl7tDhw61yrRv317z5s1r9me4o2AIsMvlrHWPyCr3B637tCR3q/37aMs233NQB/Vul6rhXTOi4t+7XfF7bj+0uT3R7vZDm9sPbW5fMR2wvV6vLr30Ug0fPtxazGz58uXW+YSEhFrlzFBy07vdHE6nQ9nZqYoWGRnJka4CJDkSCq3rkJWS2Or/PtqizY/bpW+rfwYaj99z+6HN7Yl2tx/a3H5oc/txx3K4/vOf/6zS0lJrwTMzTDwpKan6uW3LpqSkNOtzgsGQCgtLFQ3fgplf0MLCMgUClb2niJz1uSXWfaJLysurPA432tx+aHP7oc3tiXa3H9rcfmjz+GJyWGNHlcZkwDa90RdccIG1MvjTTz+tzMxM63zHjh2toL1x48Za5c3jzp07N/vz/FuGA0cDE66jqT525fMHrb2jza2126Mt2rzcF9D6ogqZreN7t2vel1EIH37P7Yc2tyfa3X5oc/uhze0n5iZbmh7rGTNmKBAI6IknnqgO11VDwUeOHFlrQTNTzmznNX78+AjVGPHosJFd9Nmfd9F1BwxWPPh2eZ6O/M/3+uf7CyJdFQAAACBmxVQPdigUqu65fuaZZ6wVwqvmVjscDmvu9WmnnWZtzWVWDjerid93333W6w455JBIVx9xyPy7iwcZSWzTBQAAANgqYJue6O+++846Nntf1zRhwgRrD+x99tlHV199te68807l5eVZC6CZnu60tLQI1RqIfpnJlf8pKNiy/RgAAACAOA/Ypkd6/vz5Oyz3pz/9yboBreXhr5fp57VFOnpMN+3SNyeuerCDoZCccdIzDwAAALSlmJuDDUSD39YXa9ayPG0uqb1ifazKTKr8ri0kqajcH+nqAAAAADGJgA00Q0lFZQhNNft0xQGPy2mtiF7Viw0AAACg6QjYQDMUewPWfUpCfARsI2NLL3ZhOfOwAQAAgLifgw1Ei9ItATs1IX5+hQ4f1UUV/qCyUxIiXRUAAAAgJsVPOgDaUEl1wI6fHuxTJ/WMdBUAAACAmMYQcaAZSrz+uAvYAAAAAFqGgA00kS8QlNtZuY1VahwNES+u8GtZbqnWF1VEuioAAABATIqfdAC04Yrbn/95igJBs190/Fz2p2av1H++Xamjx3TVZXv2j3R1AAAAgJhDwAaayRVP6dpaRdxj3RewTRcAAADQLAwRB1Brm66CMrbpAgAAAJqDgA000cINxbrotZ91x6dL4uraZW7pwS6kBxsAAABoFoaIA020obhCXy3NVW5pWlxdu8wtPdiF5fRgAwAAAM1BDzbQRCUVW/bAToyv76cykqsCduUWZAAAAACahoANNFGJrzJgp8XZHthVi5yZgB0MhSJdHQAAACDmxFcXHNAGSioqe3hT4ixgmyHifxrdVelJ7sotyFzxtUo6AAAA0NoI2EATlXi3DBFPcMfd/t6X78X+1wAAAEBzMUQcaHbAjq8ebAAAAAAtQ8AGmsjrD8ZtwM4v82lZbqmKtwyDBwAAANB48TXGFWgDf91ngDWUOhSHC4Fd+davmruqQNcfOFjTBneMdHUAAACAmELABprzi+M0C4DF3yJgGVv2wi6iBxsAAABoMoaIA9guYLMXNgAAANB09GADTfTP9xbIFwjqnCm91S0zOa6uX8qWldFLtyzkBgAAAKDx6MEGmuizxZv1/u8b5fXH3xzsFE/lfxLKfARsAAAAoKkI2EATBIKh6vnJVcOp40myx1VrKzIAAAAAjUfABpqg5vZV8Riwq4aI04MNAAAANF38JQSgFVUt/pXsccrjir/vpwZ1TNXRY7pqUMe0SFcFAAAAiDkEbKAJqoaHpyfG56/OqG6Z1g0AAABA08VfFxzQiqqGTqckVM5VBgAAAIAqBGygCcr9wVqLgcUbfzCkTSVerS0sj3RVAAAAgJgTn+NcgVayS58czbpoinzB+Nuiy1i6uUTHPTVXOSkevX/OTpGuDgAAABBTCNhAU39pXE6547MDu3roeynbdAEAAABNxhBxANVStgx9N0PhzZ7fAAAAAKKgB/uDDz5QcXFxs147bdo0paWxTRCiz6eLNumjhRs1sWe2po/oHOnqhF3NueVmQbe0OF0tHQAAAGgNrfbX8y233KIVK1Y067Xjxo0jYCMqLdpUovd/32gFz3gM2Ilup1wOKRAiYAMAAABN1ardU08//bS6du3apNecdNJJrVYfoKXKt2zTZYJoPHI4HEpOcKm4IsA8bAAAACBaAnZmZqa6dOmi7t27N+l1OTk5cjrjM7wg9pX74nubrqp52FbA3vJlAgAAAIAIB+xXXnmlTV8HtAUzL9lIitMebGO/IZ2snzOd+dcAAABAk7TZCkb5+flKTk5WYmKi9fidd97RvHnzNHnyZO2xxx5tVQ2gRcps0IN9wa59Il0FAAAAICa1STfc77//rr322kvr1q2zHr/xxhu6+OKL9cwzz+jss8/Wc8891xbVAFqs3L+lB9sTvz3YAAAAAJqnTVLCE088oZ133lmdO1euuvz8889rl112sXqwzWrj999/v0Ih9txF9Csq91v36UkexasKf1C5pV6VeCt/VgAAAABR1oM9Y8YMa3i4GSr+008/6eijj5bb7db06dPl9/u1cePGtqgK0CIPHT1KH56zk3bunR23V/K69xdo3we+0ZvzK0ecAAAAAIiiOdiBQEAJCQnW8eeff25tBWR6tKsr4XZb54Bo53I6lJUSv73XRkpC5fzyUi+riAMAAABR14Pdv39/zZw5U8XFxda86zFjxig9Pd16btmyZSopKbG25wIQeSked9QE7J/XFurXdUWRrgYAAAAQPQH71FNPtYL1uHHjrOHhp512WvVzl1xyifbff3+5XPG7KjPiQ3GFX1fN/E03fbRIwTheMyAlofI/C5HeB9sXCOqGDxfp1Od+0A+rCiJaFwAAACBqhoiPHDlSL730kr788kuNGjXKCtpVDjzwQB177LFtUQ2gRXJLffpwwUaleFy6cu8BcXs1q7Ygq9rzO1I8Lqf2HtRBCzeW6O1f1mtM90xFM/Oli5OpLgAAALbWagH7008/tYJ11dDvgQMHWrdtnX766a1VBSCsisp91n16UpttHx8RqRGcg22Gg/++odg63m9wR/XJSak8vz66h4mf/8pP+nZ5vi7do5/G98zSgvXF2q1/O6Ulxve/FQAAANTWan/9PfXUU5o1a5bVY73bbrtp991315AhQ1rr44BWVxEIWveJ7vjeAzs5QgHbbAt25ovzrG3CDLNS+5DOlWs1/LGpRF5/UAlReO3zS31WuDbu/3Kpyn1BmQkEx4ztZgVuAAAA2EerBezHH39cq1evtnqyP/vsMz344IPKzMy0wra5mVXEU1Iqe6eAWODzV867TnBFX8gLp55ZyTpgaEf1b5/app/7x6ZSK1wne5ya1CtbSW6XMpPd8rgc8gVC2lzqVZeMJEWbpbml1cfnTOmj2z9ZYh0zbxwAAMB+WnX8Yrdu3XT88cdbt/LycqtH2wTu//u//9PmzZs1ceLE6t7tnj17tmZVgBbzbunBjsZe1HAa1iVD/+yS0eafu3RzZVAd0SVDtxwyrPp8u5QErSuq0Kbi6AzYf2wuse536ZOjwR3TlJnkVkG5X4s3lSi/zKes5K3buq0tLLd6uPu048tFAACAeNRmSSEpKUl77LGH/vnPf1oh++WXX7YC9jvvvKP99ttPK1asaKuqAM1e1dpIcLFne2tYtqUneNvw2T4twbrfVOJVNKr6YsDUe2jndJ0zpbdyUjwKBEP668zfqlec9weCOvHpuTr6ie+1sbgiwrUGAABAa4jYCjyDBw+2bmeddZby8vIYLo6o5w2Eqle3jmehUMgaqm16WrNStva+trb1RZWhs2tm7V7qfQd31NjuWeqeFX2918YfWwJ233Yp1vz8I0Z11ahumTr12R/0/Yp8fbc8T5N75+iXdUVWz7bx9dJcHTKiS4RrDgAAgJgM2F6vV08++aS+/vprK0ybP+C3ZeZod+nCH5yIXv/P3lmAyVldb/wk6+6u2Ww2unH3hCRAgAR3d7dCS/8V2kILFIqXUqBAcS0ugeAJEeLutknW3f3/vHfmznw7O/L5zM7e3/PMs5vN7sw389k957znPScUJNLUnGlEfl7ARqB72vNrKXDgAPr59pk0wKTRU+XWCnVihKVizYFZmC9z2qgUFlyPksjq0b9+06xBFBUSSGMzYlj1+okfDtr+/8udZSLAFggEAoFAIPBDTAmw//Wvf7EAetKkSS57rQMDxTgbgW+DynVsuH9XrwEfLdXRZalkh1rnYhspDX9t3VG6cUYuhQYNpFQf7LN2x8nDU9jDEWli4PMdpbS1uM72b1S4kWg0K3khEAgEAoFAIDAHU6JauIjfe++9dP7555vxcgKBQAPhwQGsSA+dSUNbp+EB9nM/H6avd5fTR1tLaPUdsyhgYM+gE9XfsoY2NqYrt4+ag8G4bVZePF0wIYM2H6ujrNgwEVwLBAKBQCAQ+CGmBNgDBw6kUaNGmfFSAoFhrDxYRT/tr2SS35OGJ/vtJz1wwABWxa5v7aCGlo5ekm09aWnvZME1Z1dZA420zr7mrDlSQ7f/bxsNSYqgNy6dQL7Eocomqm1pp4yYUEqMDHH5e1lxYfToGZZr4KTsONvPD1c1MRO3iGCh4BEIBAKBQCDwB0zRuy5atIjeeust6uqyuDALBH2RHSX19P7m4n4x3zgyxFK1RpBtJG9tONbj3/vLLSOvpPAAv9IHXcTf2HCUrn5rM32wtUTx3645VE2Xv7GR/ru2yJBtEwjcgRYFZ34oAoFAIBAItGFK2eTyyy+nU045hRYvXkwjR45kI7sc+dWvfkXx8fGKnvfrr79m476ee+45288QxCOgh7GalFtuuYXOOeccDe9C0N/hY7qC+sGYLksfdis1tBkbYO+3OnBDPo0548NSIl0G2NVN7awvHOZrvkK91RU82tq3roQ95Q3U0NppG/MlEJgF5rNjZNzgxAh6eOkIv5+MIBAIBAKB3wXYL730EptzjcC6qcn5YvKGG25QFGCvW7eOfvOb31Bubm6Pnx8+fJiKioroo48+otjYWNvPo6J6yk4FAqW0dViqPcEB/cfojAeQRgH37YnZsXT66DSaPTjB6e/EhQcRchqYklbV2EbJUa6l2GbDx25Fhym/lPJxZEgcCARmglaXkvpW9thyvI4mZNnvlQKBQCAQCPpAgL1s2TI27/q2226jgABthkmoTD/zzDP0wgsvUHJy7z7YvXv3UkxMDJuxLRDoCSqsIDjQ/wPsqTlxlBoVQikGB7NXTMlmD0894QkRwczorNzHAuw6HmCHKp8XHhtm+ZvqZhFgC8xlzeFqm9O9CK4FAoFAIOiDAXZ7ezuTiGsNrgGq09988w0b/bVmzRo2W1vKnj17aPDgwZpfRyBwGWD3gwr2lVPdB71mwwPsigbf6sOub2lXLRGPDw+2yXUFAjPZVlzPvs7MU9aWJRAIBAKBwDOmRArjxo2jn376SZfnysnJoY8//phmzZrl9P9Rwe7o6KCbbrqJTjzxRLrqqqto1apVury2oH/Tn3qwzQAGS+iploPd6KyVfAmbRDxUeYAdZ61gowqOUWQCgRkgoXOstoV9PzwlktYX1dBj3++nPWUNYgcIBAKBQNBXKtgLFy6k22+/nfbt20ejR4+m8PDwXjNgFyxYQBERER6fKzDQ/SYjwO7s7GSmaUlJSfT555/TFVdcQc8//7zLoNzza3q/YhlgrZryrwLzaUcTMBGFBgeYckx4e59j7nRHVxeFGzRCqqy+lU56ZhWrTi+7aRqTgrtiwbBkyk+OpGGpUT5xPoLm9k5qbOtk3ydFhyjervioYIJfG3IM9e2dlBQS6PV9LjAfs/f5oepm9hWj5eIjQ+itr/bQ93srKS0mlEakR5uyDQLvX98F5iP2ef9D7PP+iykB9l/+8hdqaGigDz74gD2c8dVXX8kKsOUYqkVHR1NYWJjNPXz37t1MUq4mwB44cADFxWnfLr2Ijra8L4H5PHLeOKpvbafosCBVPbd9aZ//Z8VBuu/THbR0bDo9cf44Q17jcEM7IWURFDiQEuJ7u4dLuWy277V9hLZ10t/OKKTi2mbKSVNnEjUjP5F9jY4Opzir6Znl3+I872+Ytc+r91Wxr3nJkezeNjorjgXYxxvafOpe118Q53r/Q+zz/ofY5/0PUwLs1157jfVhuyM1NVWX10pJSen1MxievfPOO6qer6urm+rqmnwiC4YTtK6umTqFnNRrYPnZ2dxG1c1tfr3PB3RYKrNV9S1UXd17NrUe7DtWY5N/G/UaRnNygcX5XO32P3nmKMs3XZ3sOcR53v8we5+PSg6nv502nE0KwDGXFmFJFm4pqumz52FfRJzr/Q+xz/sfYp/7F7hXy1UdGRZgw2wMI7SCg4OdBr1y/k4pqJKfeuqpdO+999K8efNsPz948CDr3VZLR4fv9EdiAeZL2yPwz30eEWS5gNQ1dxj22sXWPtDkyGCPr9HY1kFVje3Mwd1oZ3NfQJzn/Q+z9nlSeDAtLEhi3+P1CpIs6pHtxfW09lAVjc8UI7vMRJzr/Q+xz/sfYp/3Pwxr/oHJWHFxsWl/ByIjI1m1+oknnqDy8nL2sy+++II9YHYmEGjh9XVH6fHvD9DBSu8rGowmgs/BbjVuDjZ6sEFypOeA+bPtpXTmi7/Q49/vJ1/hUFUTbTxaS6XW9yEQ9EWy48Jobr5FibH+SK23N0cgEAgEgj6PoRLxL7/8kuLj4xVXobXwwAMP0H333UcnnHACM0SDoRr+PXfuXE3PKxB8sbOMdpc10KScWBqUEO7XH0iUNcBuMDLAbrAG2DIq0iFWA7EWH1JvvLPxOL276ThdNTWbrp+Rq+o5/vTFLvphfyXdNS+fThkpX+kjEKjhh30V9OSPB2lKThz9+oR828/HZMTQ9/sq6UClkIgLBAKBQODTAfajjz5q5NPT9ddfzxzCpcTFxbHXxaiuuro69m9Hx3KBQNscbP8/nuwBtqUX28gKthzJd0hggM8F2JCtg4hgy7apoa2zm33GRioFBAIO1BZHqpspP7GnmRkShriqcVd8gUAgEAgEPhhgv/3222xclhrkVr0hCcfDGaheK62eC7wP5gEH+ujYEj4HO9hHt09P+FznpvZONq4Lvc96MyotmplFZMXa3bNdEWp9/dZ2HwqwrckHLqdXAw/OebAuEBhJdZPFbDQuvOcUhMnZsfTjrTMoNEh9skggEAgEAoHBAbYIbgVKQFXliR8OUEt7J/3znNE++eEh0ARGBJu+GGDPzIunmLAgVrk34j3fOidP9u+GWE3XWqzu5r4AD4ojNVSwI6wzxnmwLhAYSXWzJcCODesZYAcFDCQRWwsEAoFA0IfGdAkEngKV5rZO+nF/JUWGBFB3d7dPyvrbO7tti1F/B5//Y2dYR0j5AKFWiXirT0nEO3sEyWqICLG8rwZRwRaYQI01wI5zCLClSUSYOA5NcT+XXiAQCAQCgWv8P1IQ+Dz/WnGILn5tA/se/agVjcbPmNbWgy1OG600tXUytYJcuMmZbwbY6ivY4dayYbMPSd8F/U8iDmqb2+mGd7fQrz7azpKcAoFAIBAI1CEiBYHX2e8w9uqAj47Bsvdg+1513SgQ0CoJhOXy8bYSmv3kSvrrV3tk/X5iRDCdOzadlhamkq/AHdZ5FVoNoVz6bsBnLBDIlYgDtIFgSgKM0PZX+OY1WCAQCASCvoCQiAu8Dp8rjcAVrsqNPuqo/NZlE6m1s4sFe/2B+5ftoY+2ldCtswfRJZOydH3uw1VN1O1ioe8MjPK6WzJWyBe4dnoO1TZ3UJKMOd6uwAzwUWlRbBaxQGA0SRHB7Poa7+QaFhYUQBOzYmnlwSp6YfVhevC0EWKHCAQCgUCgAhFgC7wKZImVVkn4kKRI2l5Sz4JsXySrnwVBvDJbZZWV6kl5Q5vsEV2+yllj0jU/x6zBCewhEJiBJwPJCyZksAB7zeFqsUMEAoFAIPC1APuUU06hI0eOyP79zz//nLKy9K2SCXyfQ1VNtkArJiywR6+zwLvEh1uqXNVN+vfEl1uTKkmR8tQA6AlFoA/Jemp0CA30QRM8gaCvM9xqbgYvDJxr3PtAIBAIBAKBDwTY55xzDlVXW7LgbW1t9PLLL1N+fj4tWLCAkpKSqK6ujjZv3kzfffcdnXHGGRQXF2fUpgh8GN5vPSghnGJCgyg+PIgCBw7wSVOuF9ccoZCAgXT1tGyfdDnXG+wLoyrYFQ2t7KtceXVnVzed9Oxq9v3yG6ex8WHe7sffUVLP3M2F47LAX4gKCaSggAFsYkJVUxulRXueUS8QCAQCgcCkAPvyyy+3ff/oo4/SwoUL6fHHH6eBA3tmxD/55BN68sknKTJSjAXxJ3jFEUEa5IY/H6ymW2YPovVFNbTiQBXdPncwC6R5/3VeQjjdMXcw+Sr1rR3037VFbJuvmZ5D/auCrW+AjWC5UmEFOzBgIAUMHMD+1hecxHFsX/3WZnY8rLpjlurn2V/RSLf9bxsLbN68bIKu2ygQSNlyvI7+9MUuGpYSRX87dbjTDweJQ5z3MDqrahQBtkAgEAgEPtuD/cMPP9Cf//znXsE1OO200+j++++n0tJSSklJMWNzBCZw37I99Mn2Ulo8Ipk+31FmC6awyPt+XyWrXF42OYuGpUTSgoJEGpsR49P7BfNh+9uILj7KB5UsPYHkHG32ECrEWYN4OYQGDmSjsVp8IMDmQb5WCS2k7ghmmoWLuMBgyhtaqaimxeM5d9aYNHa9U3JuCgQCgUAgMDnADg4OprIyS5DlSEVFBTU0NFBERIQZmyIwKfhAcA12lTbYfr6vopEF2OBgZSP947v9dPXUbFo8wvcTK7wvHPLJ/kKytbpc1tBGW4/XUWF6tC7PCwu7U0amUGt7l6J2gBBrgN3a4f2RVnwbtAbYYWJMl8DsGdge2iuumJJt0hYJBAKBQOCfmBJgz5s3j/7yl79QSEgIzZ4929a/umPHDrr33ntp1qxZQiLuR2w6Vsu+IhZ967IJ9M7G4/TId/tpW3E9k9Zi70MmXtvSwarXY6zV67c2HKNv95TTySNS6IzRaeSTM7D7kelPYmQIG0UVMGCAbV6zHkC98KeThir+O1SwQasfVbBDgyxO7XDOh/xdjHUQGD4D26pMEQgEAoFAYAymrOeuvvpq2rhxI1177bUUFBRECQkJzOSsqamJCgoK6L777jNjMwQmseaQxdwOgTKSKROyYtm/j1Q328ZdpUaF0NojNaw/G5VRSGWP17bQxmN1NNoH5eJ8dFh/koiDa6b5Tr95SKAlGG1pVxZgQ3698kAVTRsURxHBgb4VYEv+vqWjk0KCLe9RINCbGmsFm5sXuqKjs4uO1baw80wY+AkEAoFA4MMS8eeff55WrFjBHuXl5RQVFUUTJ06kRYsWsf8X+A+rrTNUp+ZYnOFz48NszrSgICmCYsOCWID9/KojtL+iiR5aMoKCrMErrxb7Ev2xB9soGlo72OeoVA3Aq+hKK9i/+XgHrTpUTeMyounf543RxQGe94HzoF8tCNCxNTgzmtu7yPdSSwK/q2B7kIjjXLnzw+0UERxAT5w5ivKTInRLTAkEAoFA0B8wNVoYMmQIq1jj6x133EGpqakUGChu3P5ERWMb7S1vZN9Pzom1OUAPig+3/Q4WbNmSf4/PjOnR38wDcV+iP/Zgg67ubtpT1sCUBpAw68FTPx6kGU+soJfWHFH0d/OGJDIDpuSoYEXbPyc/gX0PdQR8APRMuGitYCPY54mDFmF0JjCQuhZ5AfbQ5EjW3gO/Azjl3/DOFrFfBAKBQCBQgGnR7XPPPcfGcbW3W27yJ598Mv32t7+l6Oho9n+QjQv6PoermpiJDhzDpS60GAtz03tbmWNyQVIkRYTYK38nDE3qUR3mwawvMSYjml67ZLxPzug2EsTUF726gX3/5fVTKSFCu9qksa1DlRpAjfkSWg/OGpNOP+6vZKPiVh+qpiFJ2kcC5saH03XTc2SPGXPHsORIavXBpJLAv8D1OC06xGOAnRwVQveePJSNJcQYxZ2lDXSstpkyYsJM21aBQCAQCPoypgTYy5Yto6eeeopuuOEGOuGEE+jGG29kP//rX//KzM8wpuuxxx4zY1MEBoN+669unNarGpcTH07vXTGRGaCh5zo8KIAF3cNTIinRGrTx6jB6AH2NiOBAVtnpbyChEBMayAzpIDHVJ8C2HBuQoJrFxKxYFmBvLa7X5fkGJYTT1Tr1pz93/lhdnkcgcMd9i4fJ/oBOHp7CHte8tYk2Hauja9/aTP+5YCylRoeKD1kgEAgEAl+QiL/zzjt0zz330E033UTDhg2jgADLwnry5Mn0wgsv0PLly22VbYF/wN2RHX82NTeeBauQxi4cmkSZsfaqiL0HW1TzfHEeNjdJ0kqTNcAOVxhgo/ca28D/Xg4ldS2ses17pXeU6BNgCwT9Aa4aKW9oox/3V3l7cwQCgUAg6BOYUsEuLi6mCRMmOP0/9GFDJo552GlpvjWaSWAu6GfFXOAAH5RhIzCDvBiVS/QC9ycg+T9EzTaTJK3wADlCoXHSQ8v3svnqN87MlS0XR+/4/V/tpXGZMcxMDC0KCNK1jiqqaGhlnwdkt1yBIRD4G9MHxdNTZ41isvG8hAhVz7GvvJFiwwLZ2D9X14Ob39vC1DFQNfFEq0AgEAgEfRVT7mTJycm0atUqp/934MABqq2tpbg4i+O0oG9z+esb2WKpvKFV8d9i9vWPt86kvyiQMprFtuI6+tfKQ7RsVxn1N2KtvfTVOlWweQ+2Uok4NxRT4iLOtzk9JpTSYkJZAqe4voW08uHWErrwlQ3075WHND/Xn7/cTUueX0M/7KvQ/FyC/gnOqaM1zdTd3e3S7O+cl36hy17faDM7kwtUR2qDa7C9pI75OBTXOT/vvtxZylo3vt9XSX//Zp/L9yAQCAQCQV/BlAr20qVL6Y9//COTgZ966qnsZx0dHbR27Vq69957af78+RQaKnq7/GGRt90qwQ1zIhHvy/A52P2xuoLqE6hVuDD31IOtVCLOZd5KAuy6Fkswjz7yly8cSzFhQcz4TL8+cu2X0Jrmdiqua6XaZsu2CgRK1RRnvbiOmto7aUx6ND19dmGvFh1UiQ9VNXtl1CAmS0SFBNI3eyro4omZTseCSRNXM/PiaU5+/1IJCQR60tHVzRJpSEpHiBF7AoH/BthnnHEGbd26lf7xj3+wB1iyZAkLsjG2C0G2oO8D+S3AYioyxL/Gr/HZ3CH9MMCOsN6gG1vl9z67AwtoVJZ5b7dcggP5GDf5ATaCDl4tl7raa6W+1RIMR4VqTySFWhMHLR36fL6CvjMPfvOxOhqdGU1xceorxKj+8uP8aG0LS3LCbNJZWwbab9SMlvt4Wwkt21lGJxQk0plj0hX9LZJch6ubqbKxzen/nzsunUanR9NP+yvZKD0E3CLAFgjU8YfPd9GXOy1Ku98uHEJnjhatlwKBNzAtCkIFG4H2999/T2VlZRQWFkZjx46lhQsXUlCQtn5IgW8F2ClRznvtPLG9uI7+/fNhZnz26xPyyZfgVdP+NgcbTB8UxyrAcH/Xgz+cOFTV36kxwbMbqgXqHhyBSB2el8/Bbm73Pfd8gXH86Yvd9MP+SjYC8KNbZql+HkjDwaTsWPrn2YXMQNKV4iIyOMDp/8sxC1x7pIYyYuUrzTDnvrOr23a+VjU5D7AnZcexBxzKEWD3RSPCfRWN9PKaIwR1+w0zc3uYdwoEZoH7Eg+u9TQmFQgEyjG1zIhe7IyMDBZQX3DBBbR3716bo7ig78P7XeNVGkhhFBSqFwVJzhdi3oRXTYNVVH/6OnwB7G3UzEm3BdhBA2l3WQO9sOowk4n/flGBLgF2VKj2Syhvp2h2GG0n8F8wxhDBNbjIiWxaCcdqLb3NhWlRLHiub+mg7/ZV0MnDk21JKR7cRqs8XlOjLIF1SZ18b413Nh5n8vDzxlkq3q4q2JyRqVHMRHJYSiTrw1aTCPDmtenr3eXU1W1JMN86J4/6Cm0dXcxbZG5+oi7XM4H3cDw/9TImFQgEyjHtavrcc8/Rk08+aRvHdfLJJ9Nvf/tb5iCO/0tISDBrUwQGgV5SgABGDbw63I5Vio/Rn3uw9QRmS11d3RSo4nO0HR8qJOJhwQFMhQAjpfRodQoLKfVWubwerRCh1qRNi6hg9xu2Ftexr8mRwbRgaJKm5zpQ2cS+8qppXWs73bdsD+0sqaffLBjCfnbQ+js58eGqXiPFes6UWFVKcoI2BNdgRGoU+1rlpJoG1RMq1oPiwyk3IZzeuXwi9UWy48LonLHp9PbG41SmwuDTm/z750P0yi9H6atd5fTU2YXe3hyBBo47GAlWu1CNCAQC4zElWli2bBk99dRTdMMNN9BHH33Eqtjgr3/9K7W2ttL9999vxmYIDAYVaBCrMsDmFUolAZRZ9OcebJjX7Sqtp92lDZqf61BVE017fAWd8u/Viv82LyGcVeXGZMTI/psLJ2TQXfMG04iUKEqKtPRglze2aXYqtknEQwJ0q2CLHuz+w/Ziiwx6dHqMrVKr5piEQmPrcUuwPtZ6XlQ2WgJZVFQ5PMDGOaSG9GhLBft4bQuTfXuCO4aj33twoqW/vKKh92J/3ZEa+vXHO+ihb/f1+PnnO0pZcIDP5PV1CP58f3oD+sj5zPC+BJICYPXhauHg3sc5ZD3PHYseAoHATyvY77zzDt1zzz100UUXsX9zWfjkyZPphRdeYH3YqGyLXuy+TeCAAUwerlYiHqiix9YsLpmUSScNS2bzYPsb24rr6eb3ttKQpAh641Ln8+zlwo3SAlXMOse4IDyUMDMvoUdVjR9fDa2dmuSQZ49Np7L6VlvgoYWEyGDKjQ9TrfwQ9D12WJNVI1Ijae3hanrtf9voxKGJdOLQZMX9+/+5YCxtPl5Hmdb+6HxrQIuEJ+TiOM6RCEKCCRJsNWDMXXDAAKYCQfDsqcd4w9Fa9nVYciSlWavfkKsiWRch8S3g/eOZMfbzCHJ2tAohmIfvw+M/HGA/xyz7JBeztL0JEo/YDzyxzCv3fQUktrnHCNoNRP943+VAZSP7Oiotit23+RQNgUDgpwF2cXExTZjgfGGemprKZOIVFRWUlibcDvsy10zPYQ+1YAHnqxXsjJgw9uiPwBhJWrXVglGmY3KQGtQp6eN2xgXjLSocPYDLq3B67T+gAryhqMZW9fxqdzn9tLeCBseHkVL/P4ycgwSby7D5+DskOSHJPlrbTMNDo+iGmYPYAy0aaoD7OOTle8sbmSTdUxC23vr+puTEUXRoEP37vNGUFRtG4Q7jw6BoAfg/zte7ymnNoWp2vTlSbQnAwf82F9PKg1V0zbQcmjXYd1rK/rJsN+0pb6Q75w1m/0bira/0kON4uGNuHv1l2R6b0kEE2H0XPopvaHIkC7C13ucEAoF6BpplbrZq1Sqn/3fgwAGqra2luDjvmygJvEvQQN+tYPdnIviYLmtwrIVGydgsNYtBVFqUmIFhob7xaC37Oyx4fTmJI+gfwHEa1WWcAzD2yrNWnHkvtR7wIOneL3bT86sO236uZQZ8bnw4C9zlJNp4YAzVCxifGcuqz9KgE+fzL0csgTic1DkwOUO1G73Zaw5bZmQ/e+5o9rOdpQ20WjI329sgkD5aY5HDT8iMYZL4lo4u2mKV7fs6OB5OG5VKi6w+AHoegwLz4T3XSNydMiJZjLsTCLyIKWWkpUuXsjFdkIGfeuqp7GeYgb127Vo2A3v+/PkUGqpdaino2wRZ5xz7It/uKafShjaalhPHzHj6E6iIgUYdKtj8OfhzKmHlgSq688PtrFr334vGyfqb2z/YRh1d3fTJNZPZGCCY1LV1dmpK4kBqfri6ic17x3MKBEpAdWn5jdNYhRltMVy27dg/KYcvdpay8W7Tcy1jrjgImBDkoSL53d4KVvXVyv2nDJMdoBdb3Ywz41xXug9XNbNEQ1jQQJZokH4+yINxUzSYACJggNz9/c3FrFfYV6hv7bAZKaLCf8WULOro7Ka4cIvfQ1/h0slZdP74DMpL7F/3Nn/jg6snU21zOzPfXDwixdubIxD0a0wJsDH/euvWrfSPf/yDPcCSJUtYkF1QUMCCbEHf58o3NlFI0ED600lDVc3CRj/r2jtneVVaBwniR1tL6P8WDKFYSS85FnaYA/uXxUP7XYDNR5MhJkWwqqZ/2lEirqaCrdQED7+H7bW8nuVShwA7YGAXtXd1aXJqvfCVDSzA/vbm6aQVVNkf/X4/FSRH0gNLRmh+PoHvg3573nOP/mY+a1qptPjVX44y2faTZ43qEWCfOy6d+UVAgh2nU2+/kur359dNYT3UGdb3tq+8kb7YWUYJEUF04QTLWDL8P6+2S6cKhAYFsKo+3hfA9zhv0YPNq+Ooouvh4K8VeDkAVK7xuGqq9kSGmWwvrmMJmvykCNXmpALfAedoX0vuCAT+iml3KFSwEWh///33VFZWRmFhYTR27FhmcCbMzfo+qOrx0TNYaKjBF3rWbv/fNtvc5D+dPKz3HOx+6CIu3Z/4HAIHqnfO5tWeCBU92FzhwM3KPL6WRNKOKhlYdsNUTTJZvR3EuXs4pJlqkg59Cey3tzceoxl58ZSXYJEOCzCqC9JpyyhAyKDjFSyQq61VXscgGtfSeUMSvfbxIiCWjgSDmdkrvxTR8JRIe4BtdRrnQbgUmKPxAJtX+JGQSIgIZvO0D1c10cg0u6zcW8C0DfTVc/fVdUfpmz0VrA8b++WlNUfYpAahzOnbIFGHtigkmH0hESUQ9EdMjRZgZhYfH09JSUlsVNegQYNEcO0nVFp7f9DjGqPBndlX4Is7Tn+egy19z3KDW1dgMT0zL55Va42uYPNgHsckr5BpDa57BtiBuioEuJOvv4LF+5M/HmRKl/7Mg8v30iPf7rONssL+5+7YJVZptdxFNB/DY0b1ERX2G9/dQle96X7/tTjxSOBScbhUc2YPTqCHl4xg0mRHsiTS8nGS/mw+Zmy/j/QK86kI0msBEgA/7q+0jUbzZSDTB0iGoH/3zfXH6OW1RV7ZFhw3fOScQDmbjtbSbz7ewcba4Tyb9eRKOvW5NeKjFAi8hCmREBYCmHn92muv9ZqziP7rRx99lFW0BX0XOKeCRAcjGyUg2/r7z3ay/tj7Fg9T1aerF9MH9RwHxd04uUlWfwKS8KumZrMAV2uCYdGwZPZQA39tnuzwlmN5vZNFtRbsiQP/Nvf7bl+FbmZ5fRUYe326vZQlU84bZw8s02PDqLy+VdGIJ8iTeQuEGbJQvBZMydAT7YrtJfUsAD97TBr9at5g272AV9gxNggu6nAlRxuRq1YiJOLwOvMLEmlpoX26SEFSJNuGLcfqaMmoVPI2/FiWVrCf/ukg28fox75x5iDyVZCoLLKOScuODWPtUVBQFEmc240Ex/pvP9lBU3Pj6KIJmXT/V3to+Z4Kev/Kif12YocW9lc20rd7K9j5dUKBRb0iXMQFAj8PsN944w1699136a677qKTTjqJuYpXV1fTL7/8woJrBN/333+/GZsiMIhSa4CdHKl+oYfYFXI1Lpv1RoCNhSAWGSc6BIG8atofK9jg+hm53t4ExRVs7jYOuT/nyR8OsB7Oq6dl07AUu7GSUmMjgB5sPd9Xq587m5s9k3V/hWXBubAgyWd8E5CIRHCNpFWaRBr91rVTqbG+mboUJFkwLxpg9JXathwl8CASLtk8SJYCE7LLX9/Ivi9raOuRaI2WqJqgAPE08/2EgiRaODSpV7J2Sm4sM3bTMsNeTzJiQ+naaTk9/DrGZ8awAHvt4Rq6cSb5LDDBw7GIex7eR1mD5R5eYr2XG83qQ1W06ZilBxyGXMt2lbOfrzxQTeeOEwG2UsobLNeDxMhg2zoFSdu+MjJOIPA3TIkWPvvsM7rnnnvo6quvpszMTAoODqaUlBTmKP7888/Thx9+SK2t5lzUBcbApX/O+unkgpsAN9Ayq5r38bYSuuTVDUz+CBranPfXcml0f+zB1hO1c3ilc6zlZuUbnVSw1x+tpR/2V9oWI1qc0KN06sHmEnGt8ntfB0EZ+Nupww1/LRhoXfjKenru58P0wPK95CvwkU4wNpOaBcLYS2n7Ahy4QWyYOcGm9DxyNipvd1mD7XtUb6Vgwc9nYPNEy5sbjtHy3eVOJeUI3p0FBZOz4+jL66fSbXPyyBfA6LJrpufQOWPTbT/D7G+AMWNSHwhfY/Mxixx7UnYsO/a4mgDJckeloRF8vK2UfZ2Tn0Bp0aF040xLEvf1dUV+3y5jBOXWBElSZHCPdQq/7goEAnMxJVqoq6ujUaNGOf2/wYMHU2RkJKtoC/ouMLEBGdb5q2ZVKbVy37I9tKusgZ5deYjdiCBfLkyLpgaHhRGXJffXABuyQSyglcygdsZN726hmU+sYGPPlBIZHEhz8xNkz/bMjgtjMtULJ9iluEE8gaNh0cEXzWHWgEErISYf894Anxkfu4QFvZEgUXHlm5uI7+I95Q2mBAxKqs6JEcH6GWyZZGKE9hhetXYm8+dy42m5cTTciTqEV53rWjvYtj/63X767ac7bTJ3OUgDb5wvf/piF7236Tj5EnBvx7xwvCu4uPsqvGLN+915gI3gtra5w/DrweZjtez700ZaxkmdNSaN+bccr2sVvdgq4EnjpIgQWzJaSUuVQCDQF1OihcLCQiYRdwZk4nARh2xc0PfAwvWz7aVM2g2jncxYbXOB+Y3BrAo2vw1hwYjF2+WTspgb+nVvb+7xew+eNpyNwsmM659zj295fytd/OqGXuZvSsHnjAWcGqk9ZJgPLx3J+vPlgKoIDJROk/RqBlmrxe0aKiSjM6Lp4omZNNlaqdJKaNBA1lrBja78EcREfzyxgK6emm24IRcUAbfOHmQ7t9GrrKS32Uhsrt8SSTFYtr2E7v5wO72z8Zjs5xqREkX/PLuQ7p6fT2aAwJZXoZudBNi8Oo+xW87gMvG6lnbb7yKgUutl8Nj3B+izHWXMMA7ydG8A5RNaETB7WAp3PvdlozOYsQE4swNck/m0Ba7kMgoka5FXwXWPO5ZHhwbRRGvybWdpvaGv728gqbiztMGujpHcX/05cSsQ+DKmpL5PPPFEuuOOO6ioqIiWLl1KaWlp1NDQQJs3b2bGZ/PmzaNPPvnE9vsLFiygiAgxxqUvgNnQf/pyN/v+iTOHs+qFFuxGVubcFG6fm8cWalyuiTnewFGiNibDMoO1v6KXjNk2B1snebVSuEmdluNrWm48e+gFFpifXTeV9Aa95tuK62hiViyrqnkTVPuR6HhrwzF66seDdMboVJeBmB4sGppE6dGhzDjpcHUzG4PmCwkM+DsAxyTDkcomJpfGdejccfKeC33MeiV55AJfDHgQNDpRshz30Cb09yUj2PtDQMe9NnggqoZbZg+idzcdJ+RiT/73aibTNls6/tq6o/T2xuN0+eQsummW3dAMY+jWF9Uy9cQpZKnQ+hqXT8lmo9xGpkb1OE/RE61VqeSJX45YFIuOSgf8G8cGDxYF8vj5YBWbKICExdjMGHaeYUmDJIYWtZZAIPDxABsmZk1NTfTzzz+zhyOffvope3C++uorEWD7OGsOVdOGozU9qg+obmg10+AV7A6TAmwswgFkaTDf4f2BCLCFOUhvGbNWIy6b626Q+ksPJKU4TDwda8dqm6m8vo1So0NsVZKggdYKdj9YdNy/bDdtPFZH955UQKeO9L7jMvhwazHtr2iiKTmxhgbYqOBgoYkADgtPb1U4HeFjtRznVnPTLz4CzleB9BkVMWfXZy5/Rw+oM6T7+2BlzxnXakAweN64dBbg8pm/WlF6zbclDB0MOcdmRLPgf81hea1v3rjXILCWBtdgxqB4Nt4wNNDYBChM4MCCoUk9fp6faCmsHLAeHwJ51La0s6QdEia8WLCgACaBlikgAoHATwNsVKnb23tKqNyRmuobi0GB68rYze9v7VGJuWxyFlvQakXpKCYtYDHLF2WovqCC9Nev7YZI2IaQwAHMmOu9TcWs+gm3U17N7U8E6yCt7jk6S/kCDovQaY/9xCpWMDri0kZXfLKtlP6z+girbP36BIuM1uauquF9QFqJBX1MWCBF6DwCTE+Gp0axAHtHSQOdOtK72wJJKIJcnsAyKsHx+PcHWOXmzDFpLKC7/5Thpjhsy+U3J+QzMydHQ7Noq1GZkkQA1Al7yhrYTPlRafZZ0UbyysXjXf7fXfMHsznew1I8z7jHqC1pQKUWGIohwAaY4+yO7cV1FBIU4PI1l+0sowe/2UsPnDqcpspUqNgShg4yd2zX7xcNsRmeueN/m4/T0z8cpOtn5tKZo+0jybzBH08aavhrwNRuaHIkwRYBBmdSRqVF0SNLRzAFgEA+GGUHhZBUefBXE8wkBQKBa0xZHcIxXEpbWxuTi6PvOipK3agcgffg8i5pRSZTg3u4lNcvGc8yro4jYIxg7eFqZrLD3wccpqVADo3FOb4+/O0+9rOFw5Io2BzrAt+UiGuoYCNRgeqIWok4KjwDBw6gzs5uWX1lFVbTF2m1MDhQu0T8qR8tvZ/o871kUk+3ZLWfC2YH4zh7/sKxpFX0i+ric6sO04GKJp/pZ4SU9sudZbZ/a03UuFq4v7fZUs08dZTlnuNLwTU/htFr6gj/GQzA5PL9vkr679oi5jNgVoDtjiFJkezhLiGwfHcFu7ZvLa5nX+cX9KxgKgWGeTAzLK5roVOtZlmuksKXv7GJVZqX3TDN6XGx/mgN69d/cU2RggDbajTnkDCEIkE6v9vdMXvfl3vY9w98vZdOGpZsynhKBGJf7SqjxMgQVrU2Ezjmw0vDGfjc5JpYCnqCpF2EDyd8BYL+hqGrj127dtEtt9xCxcXFtp+tWbOG5s+fT4sXL6Zp06bRE088YeQmCAzAmXFLdnyYbjdfyDvNkMtJncJhYoY+JilcDi0NxvqrizjvXdYyPkWaXedmScq3Q77C4Wgtd7a3J3/+b2EB/Xz7TGZSphZuwCc1ktG6MELP4Z7yRmpp1x54Fte10ktrimi1VZ6KKqe3jW6qHEzGjKhgw5wQxyf6EAfF+8bca7mEWyugzkZWGaEG8QZI+Ly+/ii98ksR+/eIlEjNbuq4X7xz+UT69qbpzKX+jfVHe32GUL489/MhW8WZu1c7Mk6FAstWwVYZ2GD7f75zlu3fB01yHYdi6/6v9tIfP9/lNOEnRjv1HZBAdXZfxnGPZKuW0ZgCgUA9hkULpaWldOmll9LGjRtpoLXvEeO6brvtNtaPfffdd9Ott97K5ONvvfWWUZsh0AFIYtFvzYFhELjJOrcSoRckX30NvjiCIRLuQZCvoseQV89bOzp7BHP4aX/tZ7IHtuoDNSzaZubF04SsGNWVRSUmeM5cjfG6QRoTOPy1edJBzx53LZ8vHI0/2VZCH24tsfW3wqUZx+9Dy/d5tb+30kG+a0TAX1xrGTs0ODHCtn/3VTTStW9vpt98vIN8ARhColLJ+5U5fOSbkgQLV4OoTVapVSJc+9YmNjmix7a0dbLg9vMdpS5HoiVFWYJpSLQ/vHoS/eaEIbpsE67XOK//9vVeZljpeKx9sLWElu2yjwX8YIs94b+rtJ6NDMTxmBdv7f+tkN//29hq2QeRThQ5qNi/+ktRr8StI9j3E7NievSmGw131Xdss/ntJztoyqM/0UfbLNcQPUE71qpDVSy4dzc276f9lfTymiO0t1wYnXkC15FLX9tI859e2SuxdOaLv9C0x1fQ9mLvK5gEgv6IYXqSN954g0aMGEHPPfccBQdbLuIff/wxm3d933330bnnnst+lp+fTw8//DCdf/75Rm2KQAOQTp//3/Xs60sXjmWLdl7BHpQQQVdOzWbVqQidpEm4sWJRjL5Zo527G60BB+TK3HTl9MJUFnijwMYXvdw5GzJps41ofAWYp+TEh1OBGwmoJyCDfeyMUZq2gwe1ngI0ZO7L6lvduhqrhfftc8M0PWDmfu3qFQKYQ48xatL5xDlxYcxBHGZLWDBjc1HB9wZ8ri4qlljcGxFg2wzEJCOwcO5uPFprm/HrTZBg+nx7KZuPfM30nB7/x681zT5ewcZxhr7+CVk9Z5mX1rey4BaBJnwqnIH5vHz+ckZMGJGOl3dcl+EHgu2oaWq3PL+ktxpMHxRHPx+stjlXY1wY5qVDkYL7GG8lqW3pYMEKqstqJeIABmfPrjxMSwtTaboHGXZufDitK6qlg5UW1Y1ZI7ocFQQ8uaxESSGXL3eW0p+tcnh8Xq9ePN42g1sKEiA/HahiY93ctRwIkMSpt42kdDxeeTGgvUuM6RII/CrA3rBhA1199dW24Br88MMP7N+nnnqq7Wdz5syhX/3qV6y6HR3t/T4yQU++2lVuW7he8cYmNifzV/MGsyAD/W+OJiVaWVdUQ2sO17AFieEBtnWBirEkK61VhoVDkyk/qafBCq8qcofz/oirRbPZ2CrYHgLRFrjAW7+XOt1/s6ecvttbQVNz41Q7a/PgMMjaz60HIRrHoKGiyGe5w6EbigOMDkqJDqV95Q20cFgyS5J4C149R/BrCbC7TRmBhRnjRgUMSkFAx991rHUmNCczLox+vmOWIklZk5vgzij4a/HqOae6ubffgSOZsaFMBQSlEAzJ4sK1ycMdibMG2Pw44Dxzzmh2fcf9CgncXKtzORK5OA6RFIACS6pyQJAtJ8BGIhiv52wEXFRIkFvjOiRTLn96BY1KjbK5yFc2WpKCRsP9KRwDbP6ejRjThbFlHKwfMK/ZGTxB5rgfBc59ZIBjwqunoaeQiAsEfhVgV1ZWUnp6uu3fHR0dtG7dOho/fjyFh9v74wICAigmJoYaGxtFgO2DYF4tJG48AEX2f8moVMMqubabggk9o7z6UN5gX9QMTuzdu8m3pb/2X/sSfB94CtCkx480MbK3vJHJRVFNV+uszVsG9KxgazWRm5gdywJsOPnPdwiknzt/LHkTqAmQ8AC/WziEvddkA2ZS1zgLsK3jhvjrexMeMKAy59i/D/O+sOAA6lCwnbYKtokScV4tlyolAKrGIDbMddCM4I2ftc+vOmJz9teLWB6YWbeFg6TT7MGWRPANM+2zqjEuDozNiLEFnJza5nZZqgfMknYF2jN4YsUZX+8qp81Ha6m8vpWummp5nspGc4JKLqN3lIjblRT6ny/HrHPSwe8XFbg0MuXHUI1V9SJwrYj5YV8l+35Kbm9rTFHBFgj8NMAOCwtjVWnOli1bWO/19OnTe/xec3MzVVRUsCBb4Hsg4L1hRq4twMZCxUiZtJljunj/HFxLIeODMRLeGxauyOCj8sldxKXb1h/BIhEyX8jp41VWnr7fW0G//3wXky0/fqY6qfj4rBhmWhblMBbH2WL+TigtOrt6jETSo5e8wwBFg9zKvCtQwXBWxfAFpGaCqBTqZQ7nCB8BJq2iQnEDIL2H2Y/jeCwzcZYA0AKvIiMwN4twaysQD+4dkwdSeb7Tvw8KYNt92AAzL77f+efsar401Az/WnmI3lh/jP0b133H3mfMFdZKlC3Adh4obiiy+JqcPCKZKbZeOH+Maa0MXCIOzxEpYQYqPg5ZW8teu3g8DXUzys1WwfYwdq2/s76ohkrqW1kix5kTvBJDUIFA0IcC7JEjR9KyZctowoQJ7N8ffvgh+zp37twev/fBBx9QTk5Oj6q2wLfAzfCPJxawC/oZBs/plNtjqwdY1GCxOzQ5gsZn2oOT69/ZzFydHztjJM3MS6DsuHB69PSRrMrUX4ErNQyOLpqQSbfPzVP1HKh6IdDR4lB7zwJ5xkioxFwwPqPXz3lQzINkNUBqjdnD0j5PrWChW9eir2TWsa8RPek4f5NN7kdGkuqeBfksKDMquAaYn4tjTGpEKJX54tjjFTpvwKXCqGA74/5lu6m2qYPNk/Y04x3cc8IQqmpupwKHlhYjiXAhIeZVY3cScfDMOYX0zqbjdNscddcQd9gDM3twfNv/trH+VPRY8+AVCgoYaUkd7d/bbDE+WzoqlRYNS5Jl2olkGCYVRAYHOj2nYjwE2Bgdxk35INXW6qiuBDiuu69g6xtgQxI+JCmCSfhdScM5POiXJkoElmQREiMYrQa2HLcUsNDu5Mw0VI97nUAg8MEA+8ILL6SzzjqLSkpKmAz8iy++oBkzZtDQoUPZ/5eVldHnn39Ojz76KP3mN78xajMEGth0tJaW7ymnaYPi6bRRqexhNHwBbkSPpiOnjExhD0/9sKhEzLJKDPsrPPHRocEwpdEHxgrpoZDQY/a1I8+eO4Z9DVThro5q0/6KRrZYTo12vnhFcgQL+kk5saYH2Fi0nzUm3Wb8BHflwrRompyjdeJ3T1CplPbbA+nCE5+TNwNszFgGCMicsXxXOev9vXZ6jqwAG+0AZuNSIs6r8x4q2CPTounPBs3s5soAXk3fV95Iqw5VMynyNdPsUm6oGK6bnksPLN/LRnMtKEiktzZYqtmXTMpkZo5yQHB93svr2et+feO0Xv8fxWebuwiweRVf7uvpCVRpp45sZvJ45z3Y+gZlSHr985zRyvajg9S/P4/h+tWH26nc2sbw1Q1TmX8Bl9yPSLWY9rlutxMVbIHArwLsYcOG0VNPPUV///vf6ejRozRr1ix68MEHbf9/0UUX0ZEjR+i8886jCy64wKjNEGhgf2Ujvb3xOJXUtTqVIPX1CrYr+KLcF/o2fYVAHaTVvOfdjAAbr7W3rJHJZ6XVKJ7V9/ZcaD3B7NzL39hESZHB9Pl1U53+DpfU17d41+wLfg6Q5l46KVP3ANsZCKZQMR7gA1JJbvTmbKQTD24QYBthMKUXOHdxfXTsn5VbwTYSeA9gBBh3puaTIebmJ9iqfpwThyezB0+8oLqN/eLM1dpTi5Erk7lo6zkHSTyqiFL1BtQMvIoMt3/w9e5yNqP7oomZrOpuJIXp0ezhSGZMKKuIotrsLbgSQVSwyZYo4sE1H5M6ITyYfnNCvs1s1hlIYiLITow0TxkhEAhMCLDB/Pnz2cMZt9xyCxUUFLBAXOCb8EWTp6qEnnDjKMj2jAZyNcRbyJhLFz8R1goTr9Kg8oeFD6Rtvtrn6ivmYu7gfZtaXI//79Od9MO+CmaQtLQwzW2/3zVvb6bUqBD65Nopumb1IdMLQLUUZlU+0DbA+ykT3PTG8wDbG7OwKxpaWRIAY5qM6gtEAPPbT3eyxfmv5uX3qFx/c1NP3w9vcfbYdObGj15wZ9j6Xzs8B9hYWH+8rYRJtk8YmmTacTgtN45W3Daz188xduyk4cls3JS3QCVYWg1GgphvszuQ2Hjn8omEj3B3WQPtLKlnIyhR3VY7oosrn/55diF7fsc+8CPVluo11CQRIYHM3O7N9Udpa3E9C4yMDrBdAaWWEWotZ73wrsiJC6enzyqk+AjvJWt8Cd5KwMGYVKxDcFzdt9j1+tlxFKBAIPCjANsdS5Ys8dZLC5TOlTWxKnHTrEF0/Yxcpz1FenPd25uZzArmMtKRYI7ByMajNXT/V3tpZl58vw2w9aj8NuoQYKN/G8FZq4fRIzyAdjQi0+N9XPTqBhbUvn7JeNaLrQfP/XyI1h6uoUsmZ9HZUyPUBdhuZMVcOl3vhQAbY/f+9OVumpoTR4XpUYYoCHCt+n5fJQuS5Pbp6wEmEMCRXs71ClVfbnzlDCXyXFybHvh6L/seAbZZuAqSEFh7M7h2xrEaS2CSGeu5Ks1VNTBifHFNEZ07Nl1GgG29nrkwXMT+dqXSwD7OjgujLOvIMD6hAwH2jtJ6W3XdCHDsYFwhqvpmKdP+u7aIKVfOHJPG7u+e9oUzV2w1CV1c78wyjjOKw9YAG/cu3NfghQOlBqThfPqEQCDwPbwWYAt8H5vsz8QKtpn9uTA9Ao7zTm3BiLV3rsW64A3txzczPSq/fFwN701Utx3yAmT77PKe+2z+kCSafmO8pgSO3UVcv+OBqSSO19Gi+lYNhkWuP1durOVqJq+R8J7YmLBAw8bw8ZE+MaFBpjmFQ9Vy7dub6YSCJPrbqcM1Px/vD2+VIRHnMnIcx76govAFIPX+dm8FO8bPGptOx+ss51KGB1MttXOgPUnEPY3V++jaKRQbG041NZZq9mCrLBsVSiM5VtPCEsZIyH15/VTNFWc58PnkZjZpcLPST6+d0qeDbK52mJufyNoIlu+poNWHq+mSiVnMQ6YvvzeBwJ/pvxGDQPbCWK+xMr4Gl2I6BltRoQE9qn08EA/xokGStwmyLuK1BEaQb47NiFa04HVE7pgt3mLgOLsc+zomLKhXUkUJbQaO6eLHmrqRO75ZwbYn6oINM95xNwLr0e/20w3vbLa57urFvV/sJhxmWPTK4c0Nx+ivX+1h5pHO4Ak8ORVsm2GgydckyKLv+GAbU//waQAIRl/9pYi+3FnGAjNvAc8M7JNHvttPJXUtbPuQfFBi6qdkDnSDB4k4+HxHKTMYrLCeo45Ig9g8qwLA6ACbz8B2HNEFdpXW05wnV9IZ//lF19css/YQp8jsB/50ewk7ptBeojbZguAarDhgd4zva6CdpMhawb54YiaNz4xhygdc638pqnF77P3ju/00/fGf6PlVh03cYoFA4BcV7E2bNtFHH31E9957b4+f7927l1599VXmVD5q1Ci64oorKCLCe6YdfZVaLwTYaw5VM+fyUWlRbntsda1gOwTYw5KjWGZ4tNUExtXv9ScwSua8censq1qumZbDHlrgkjhPgX67bXa5/tU9u/xcv+PB0bleb4l4lNVYyxsBdk1zm63VxCgTQ1sy0EXQsPFYnerFuiu4i69cfj5QxSpPYzKinTqA83nWcnqwm7zkyB84cCCtOFBlC6yRuDle20JP/niQmYShD9tbSB3kKxramIwWMm0ligYlffA8yeHoXC8Fwc3RmhYqTIuyjeFCsJ3g5DgdZJWLY7Yx7r1IBBqBu+sFvEhgyhbcpu+9DiMCgdxkx4urj1BRTQu7Bzsa1CmRVQP4HvRVUPlHSxTuYzDr/Pd5lmkTckCyC/cqfzL0FAj6En02wC4qKqLbbruNEhJ6GnLs2bOHzj//fOZOjj7vl19+mX788Ud688032bgwgXPJK6orU3LievSU4kartWdWKfsqGunDrSWsGmFkgI3qBg+UQgN7vr8ZefHs4anS3Z9w5Trrq2O2eAXbMQiGFPu1dUVMSox+fzUVhQ7bc+tfwVbj0i4nwEbgMz4rlpK94CjrzCzRzAo2V57oORUAxwGCMV7pRBLO0/XB7kHg/Lb7p5OH0h8WFcgaJcal/twvwiyQIEHQiusn3g+CS55oSPeSMRcH1Wrcq7Bd8RHB9OZlExQ/B78XoALqCSSBL5yQYUvEun8+y3HyzsZj9PC3+9n36KF9+NwxlB5m2YcIqAfFhzNDQPTZzi8wprfe1lLiJMjnCQa9newRKIIkmcGyEqm+K5NLAMWUN0fzaQVtCMNTItk55+jcL/ue4sGvRCAQ+EmA3dLSQp2dvS+a4eHhsnp+kJX75JNP6K9//St1dHT0CrCffvppmjt3rm229syZM2nevHn09ddf00knnaTjO/EffjxQxSoQEcFH6Nubp9sy/k+fXchmt0KSZBZG9Wg6IpXihlgXFZ5+tz9XsH3PzdxDBdv6/44S8eqmNvpgSwllxoaqCrA7JIGh43NrIViDRByJqML0GBriRl2A+diuZmQbjTT4RTAyOCGcycV1fQ0exFuDFefSa/2CBlwjf7hlBk1+9CfbceXp8+Wv76rqDG8CuEnLoa6V+xmYewtns8aDLePEeBX9qAIzMaNBwI8AW61SQ4nR3LTcePaQWxHHecCDa7CjpL5XAnByTiwLsHeUNhgWYPO53DDnc+kD0NHFkkh6+BmgGs8VJrjuysExMaEU/nqJEX27Pzk/KYJeuXi8qr/laqGOLlHBFgi8gSl356amJvrjH/9I33zzDfveGV999RXl5HiWjx48eJDuv/9+uvnmm6m0tJRWrVpl+7+uri5asWIFey1OdHQ0TZw4kX744Yd+HWDDORTZfWdJDLj7AixMPtpaQmeMtlSOM2LMXzDZTayMzbq2SiSAjpUnLCxwY0eVBgtYXvkKcah09ycQsGJRDbjUUQlIjM17+me2gHv90vFu+4XdkR2HUWkxHvu4C5Ii6caZub3G3QRrkGKzv5ME9nqaS2mRTqOdwVfBOcQrnPFhQezYUXP8eKK2xfXEAx40qV2sOzuWIeOFudBz541h0mh36gFHRZAefdO8gs3N68wk3BZgd9hMs5QET0aCij6qpQ0qzfz0ruCGSAL27/ZW9Pr/lOhQ6mqx92dfNjmLLp+Sbcg5Ime8mLTai/NFjxaEQ1WWNR/OlwgX6g1HQvl+kCHVdwbff2g3S/g2iO6YO1hxBbivw0ePGr2WEggEzjHl7oyq8nfffUdnnXUWZWRkOA3y4uPljYtITU2lb7/9liIjI+mRRx7p8X8VFRXU2NhImZmZPX6enp5Ou3fvpv4KnFV//9lOOnN0Gt01P7/X/+MmesWULHppTRF9tr3UFmB7A7kmVnr0Ep41Jo3JfR2z9JiFeulrG5mc9rPrprLfm5wdS3ka+o/7OhuO1tLN721lfY1qpJdI3vCHlgAD1Vo5rQPI/OPhiFaTLSzSlo5KpfauLl17sLGwxecy0KBFIKTxP+6vZE7jJw83LyDH2/n7khH0ybZSGpaiz0gzZ/xq3mCX43+U9NXK4W9f72VtLJDdu5tD60izteLLe60d+Wl/JS3fVUZjM2LotFGpbp8LLSzoTUXSwmx40NXAK9i1lgp2hg9UsLnXwF+W7WbB3OVTshT14A5JimDHqxzfkcNVTSxIhRrDVfAWZk3owbAL/cf3LMhnLR1bj9fT5Nw4JguvlgTYciXUWnA3XkyabEZCSI8AG/fXqblxTiXprgjTmBSTKoHe3niczh+f4RMKC39ZS+F+sqGohpYUppo2tUEg6GuYEmCjynzffffR4sWLNT8XpOSuaGiwuEaGhfW8kOLfCLzVEugD0uAA68WSf1XCbz7eYbvR3LOowOnvTBsUzwJsSOvwflHhe3blIbbov2xKlq7BhDu4XJs5wBr4ucdFBtPvTxrq9P9CrYuKdus2FGbEsEdf2ud6wz8TyM3U7Jf2FktAi3VoRGigriNglMCDm3aV7yMqcCD96RT5QZVcrpyewx5K9zmqiPsrmigxMrhXtV7KoeomeuKHA0yifZrB5oGOTMiJYw9wvLaZvt1TweSpWJzpSayLxE24tWrW2qnPNeXLXWWWrzvLaN6QRFok09iLV9WiwwJ7bAff1/Cf+HhbKTs3zhib7va5chIi2MMbRNg+T8s5xBUKmBLg7XtllDUwtrhWt1FHt7J9nhQdSgtltlLc9N5WVi1/7dLxNDIt2u31Zk95I3vA3O7G2Xlevb5fPCmTZucnMNMsZ58NVABYByDA1mN/jsuOpX9lxyr6G/65IThUsw03z8mj62bm0knPrGI950gGefvYVLPP/++THbSrpIFum5dHc/IT1a2lFJ4Dcrjo1fUs+YH3ccYY7xVk+gK+tI4T+GGAHRQURHl5lpuKkXATM0jFpaDnOzhYneQKFaW4ON+pXEZHK8vCOo5N6QgMpCQHJ8+bXt9Au0vr2feN7Z3s/cJx96XVR9jPfnXycMMqa47ExVgSKF0DvPe5J1pNQVDd9oV9r3SfG0FCvaXKghBBzWfS0D3AJrOPjzeukskpq2uh8oZWVuWDDJPTSPYWBF/Yt1r3+YHDVXTpqxsoKz6Mfvr1fJe/Fx9jSTB2m3Relde30kNf7qKxWbF08VR768/W8ib6x7f7aXhaNF02ezCZQWxUCKvmBIcE6vLe8Vy8svbC6iNU3tJBE3Liadrgnn4gUpAw5K0maUnRFOdEAhwbaTlOO7147ZNDTEQwa7UICg2m6Jhw5iIORubEU1yc6wS4Gdy2sIAun9lOv35vK7uH5aZEG/JZ4r7Kzfty02Jcvu9Yh4p0PvvdCLfn+ltrj9Cy7SV03qRsOsmDkkENMz18HjPyE5naIyYm3GvHYay1d3pAkLZzNjYimAXYwWHBur4XFCDQzqY2USz3+n6kpoX15EdGhCre/iHpsTR9cAKNzIzV9b3XNLXZrn/rj9fRlXN7qyIFvrmOE/hhgD1u3DhatmwZDRumf+VHCjc8q6mp6fHz2tpaiouzVFCU0tXVTXV1xs6llAOyXzhB6+qaqVOB5KfKYf7mL3vLWLVa2m/82dZi279rm9qpurqRSqzGNeiFqq017/23WeVyza0dbDsMe52OLjbHNCwwoJdks7mxxTbqCduw+mAVy4BjvI4ZEj6t+9wIWposLrAtbZ2q9ktZZaOt11jLfv1yRyk9tHwvTcyOo4dPH+ny915ceYieXXGIzhqbRr8/0a5UaLKOakKvs5rtQKDExtgEDDCkJ1/pPj9YbJntHBca5Pb9tDS3mnJecVbsraD31h+lTYer6ZSh9spLq3VkV4vO2/HXZXvYvrl2Rk4vs7GrJmXS1ZOz2Pd6vCYqgM/8dMjyj+5ueuSrPXTl1GwaFh/qNiD7/tYZ7Njpbm2j6jZLcCbd5wOsieG6pjaP27nyQCUzoMQ1yWzzusdOH2mTRNfUNNLrl01go6jCutWdU3qSFx1CFB1CA8g6IYK6FW0T7gvf7ClnagO0SrkKoOpb2m3S24B218fyWYWpNC8vnm55bytL2EYF2I9BV+f6xkNV9N3ucsqMDqEpGVFkNg+cal+n6bE/meppoLLq3dmjU2h+fjxlxYVp2oZA6+6rqG6i6mp9zpNtCCrf2EgnDk+mvywepijIVnJ9xz1qj7XwkRIWoPhzwLEz5exC9r2e5+V7m47bvj9e1eT1c97X8aV1nEA72Jdy1QiGBdjLly+3ybLRA/3QQw/R0aNHacKECb0k3GDBggWaZ1WjLxtGaei3njVrlu3nu3btovnzXVd3PCHX2dUMcIIq2R4sGNBD/P7mYjpjdCpFBwf2+HvuBMtBlaWppYPqmy1GKAhAzXz/49Kj6dNrp7BeMCNfd93haibxG5wYTm9dNrHH/w20Fv2xgMI2PPXjQeb4+ujpI2mWmyqVr+xzIxhg/UxQ+VWzLc2tluMMlS8t7wUu3jXNHcyZ1t3ztFnluIEDBvT4Pb5vMWkLyQKlRmX7yhvpglfWU3x4EC27YRrpxYajNfTymiIanBRB9581RvY+5/NlsT3ufp/fDvgxbTRYhAL0Xff4/A3aji92lLLe0osnZrp4Xv2Mfq6YnE2nj0plc3rXHq6mveWNrK/W0/uJCApgj67Obupysj0hVqM7XJM9Pdd/fj7MZnv/7dThtHCo+aPX+Kg6MCgunD26u+wj7LwJEi08sRwb0vN+54nmtg76v092su8XFSTZDPIcKauznHfowXa8xkjJiw+n3Lgw4jFYckRwr991PNfzrfOwd5c2GHKuwpMFmzMxK9YUF/oL/rueqYn+cfpIGiOz1So3Dp+b5Xs1n8FLa47Qgcom2lPWaNuvWj7LkroW+vXHO1hPOu4ZuA9+uq2UFhQk0QxJwUIucq7vO0vq2evEhAZSipPjxlss21HKvsKj5qaZuT6zXb6OL6zjBOZi2NUVAfWRIxaJMefjjz9mD1cu4loDbHDGGWewmddLly6lpKQk9rx79+6lJ598kvojcCO9Z8EQ9nCG1C31ybNGsd5IVCf4z7lBkFlgQeNqUaMn7pzBufsm1opYrHHH8f48B1vueCxXoF9Tj8+Qu4B72g4+J9vROwALyk+umcx+rmaMNa9a6e1JgKTBqkPVit2L5czAlu4/zLw3AySk+KxfvdzSXcFnMktNrowGxlZ47C1v6DEmTAv8utcq4xios46hijZ5DravA4dsTMLA6T/AmnhSAh8PBSCDdXUv4vLwOBnPj6QcAiWMi0PLiieGJEfaevKNAAogyKbfvHSC2wBbjzFdeA70qaOn25mpmlGsO1JDa4/YlYxqxh9K+WR7Ke0stZzrjtVcNQG2HA5XW5SDMOv0lmeJK4MzADNAV94DAoHAwAD7tddeo/Z2+YsOuIPrwVVXXUVbtmxhI7mysrJYkI+Z2dnZ2bo8v78hDaSlMz1tP9fBRdQXcTfbWjrfGIEA7zfqzwG2fXyauoVKSMBAZrCVFKmt2sYDNE8LJr6dfLs5WDBqkdS6el6t4PORJiLkUtUkL8AOsko0eeLBSCCHtgXYDs7hRoyO4WOH+BxkRzYdraVX1x2l3PhwumW28tnnjuOxyhpa2ecNp2k+FozP3XXFsdpmemXtUUqOCqarJD3pzkdEdcke02X2HGwACfXnO8rYZAUEmMV1rSzIcObabzZQbD3540H2/aJhSbbjTS5ILuM6j+sLRkTFkvMAusq6v+PCgj1eLxCc4XoxPitGlmIGc+LZazS1s/2s9z62u4g7v7e/ueEY/XvlITpxWDL9dqHzxLxckFxAcI37bLYCF+8DlY208WgtpUaFMsd8pTieQ1oD7DWHqtlXnO/8XMeuxP0Eqg09RzZyyq2+J8kq29JWHqiiP36xi5nZPXPOaN22670rJ7HRfL4wlk8g8GUMuzunpHgejQHzMW5MpoZzzjmHFi1a1ONnMDP717/+xeZlV1dXU35+PpuF3V+pa2lnNwFI2XCTKalrpVzrDbxngO3Qh+zi50YDKdmrvxxli5ybZmlbDLujxfr+nAXNCOIWFCTaFme2YNzkz8KXQOBy8vBk5jCLAEppRn1oSiT954Kxpo0e4QGc3pVmLoHV+3mDrc2CSudzVza2ywqwAw2oHLvieF0Lm5OMReeQpEjnSggHI0ot1FmDTSzine0XBEMYUYa2Aq2sK6phUtHCtCh68cJxFGutYFZbEx2uQBXvf1uKKScuzGWAzaunXDEj5z17Yw42+q3xeeK1oaCA8gLf+0KADVXBM+cUUll9G80fosx1mRPKA2w3SgK+vz1VyHHv3Wptl5AzXpC9vnVkH/r1a5rbdQ2wcf7z+5mzOdgA5y2CcJ68UwvuEy+usagYJ2bH2tRHcth8rI4eXL6P5gxOUBVg85F8d84bzBK7GTGhmqrwGN0JxmXGMIn9qSNT6OZZgzxed7VQblUnqU1Kd1M3u040WNUueoE1Ic714roW2ri3giXZpMUZgUBgwbS785o1a+if//wnqyajsswD5GnTptGdd96pKtBGv7UrBg0axB79nX+vPEzvbDrObgifbi9lGfoVt820ZVx5phc39a93l7OF4Nz8BNvPzQ6wcUNABh19R0YG2O6CZgTWD5w2otfv9ucKNgJsGLp4G74PPFVAeQAuVSNw0FOPxfO103Nkzbt19rxBOlcsbIkDxQG2tYLtYaGfHhNKT59d6FSxoTff7K5gXzEz3XFRbVdC6FfB5gtIV4EIVz3oMQ+WvxavlPMKpqcKdnOb5bXdzRWGnP6za6cwY0l3MFWN9ThBwsts+HtArziXi2bH+Y5D7vhMZSOhHME9AQkid0oCHNsXTsigPEmy2hm437504VjL2EkFSbmYsEAWYNe2tFMWhelevZaOr3OEX0u4DF4tqNx/s6eCrTWumKJMQciDf6k6RQk8OQIFzUiHNhWloCiB8w3XLsy9v7S8gbWWGRlcg6SIYBqeEkk5Kp35ebLRKF+En/ZX0cPf7qNZefEiwBYInGDK3XndunV05ZVX0tSpUykqyn6xQ5/0c889x6phd911lxmb0u/gCz+22A0YwCSiMOzItMq1+I0IGfM31h+lbcX1lBUbxiR/r148zrT512bdFNQEzTwbbkZwIpB3fKiViIP3Nx9nC83zx2coDrCNqozz41CphPvMMWmsOpTnYSYyEmVTrLOojQZBBT7100b1VjHFhwfT02cVUhC399UBSFBdycOl+0qXANsaoNgDbMvxA0dvHHOujgsES54SlkhGJDuMUHRXvZZuh5nw4AfVVVSx+Axsf4FL9bnKyRkw65Jr2IX1DVeQyCUmNIh9vko9GTzBA1bcy1zJmqECkJM08sS7Gy1u00hkooqsBN6vLU0IKEFaONDKwUpLLzQCXZyj0r7jr3aVMZPDuUMSNQfyjlw6OYs91MLvfUqTtu5YX1RDX+0qZ/uTJ5cwRkwgEPTGlLvzSy+9RDfccAPdfPPNPX5+2WWX0fTp0+ncc89lVeyBCkc5CDzDb5LxEUGUERvGbhZFNc22ABt9dKhoY3F490fbbRJFVIOGhZo/IsQIEyR3QbOrABvyNgQ7CBZ4UCU1wOmP8NFmkcGBiuR+4MudZfTEDwdY4ub3Jxao3gZU7JDVh3mfO+bkJ1JadKjTRY8lCOpUFXBxkzB+nJqdOHBkiQFzcrVy0cRMmpAVw3r/HMH5NoXbA+tEvdWh3lU1l/e361E1t1ewLdeC6LBAJklGJdudIVSzNVBwV8GWC++/xjbwcVlmgmQsQGCBPCj+7UlB0ZfgSRDuveENXrponCF9vY3Wc8VdYoYbt2mRiENWzQ0A0VqklEhbBVtdgM2Dyu3Fdax/emRaFE3IUqdsgOcCSMMIOAdQoYdkHIkxvQNsrXDfjXYdixW7ShtYqwsSNZDfA/RjIxnVn1voBAKvBdgwGrvllluc/t+QIUOYe3h5ebmsvm2BMri7LSot2TzArm6habn27HpIoMXYJdQHFhZcRofgVk2vr1wGJ0TQ4hHJNNqFC+bCZ1YxmeCbl02gvyweSq3tXS5NYfoLF726ng5VNdOz545WvFhBlbGisc1WbVQL5qK+cvF4j7+3cGgSeziDB8dqHLXhArxoaBLlxOsriTW6/YCZLW0rYUHmWWPTDVm8SxmWYt5ic15+An1383SXSbkg62er1eioR4BtldciqJ6U7TlhIKeC3djaQU//eJAFB/csyHd57UuMDKaHlowwzRHeEZ4k4OdySlSIT7kca+X6GbksYBia7FoVgsp9wIABLBg1QuVl1PlpMzhzk+jhfeVQZeBYVJpM5eA6DZm5HOd0RyKs55fa/mGePIWTOILgS1jST12AjQQB1D/OdglP6und56wHRkyOgPGebYpCWBBr5cM66XB1s9OEqkDQnzElwE5MTKTNmzfTsGG9ezhLSkqopqamh3RcoB98YRcRHGirWqOC7QwugUZ1d/WhKjaWYmxGDDP2MAtpZdDSt2bMQgOSLjxcwRdNXV3ddPJwkfiRVj2w8FJbUVC7WDMqiaMUSOOUyh3lABOetXfOoiAFVQAs6pAwgwmOJ2d0nEsPLN/Hvj9tVCoFGjQdAIEJkgWuAi5Utj7cWsIWfai+61H1wGu5q8jpqYqRUwF0BvqVpdVfZ3R2d9NbG46x7++eP9jltQ+vrdbASw8cxy0laJwM4GtMlzF26Xef7qKtxXVsVNE8L+4LpaBX/v7Fw9xOQUDQCGUErhmQqctpW3AEiacCDQEXT2arrWAvv3Ea65t+fd1Rze0huEalxzg/b/l1gKtK9OSUf69mn+Pz549RNfmCXz/0nBxR02xRNSC4xnUXMvGNx+rYfUgE2AKBFwLsxYsX04MPPshOyIULF1JcXBwb4bV161a67777aM6cORQe7j89XL6ENLDJjrNcpI9KAmy4wS7fXU4Ts2IpRFLBXnGgit7eeJyunJptaoAtrQZA2uQtVbbWsVT+CK/aqcnW8wUOl+sazfHaFtbHj+DTsWpoVhuCEtRUACHXu+HdLZQbH0bvXjHJ7e9KDZYs79uYEwsO23Da/tNJQ2nRsN7SULzLB77ey76fX5BkiqwwSE+JeFtPiTiAOeSxmmaanZ/gshfeVsF2k9iQGvIhOIg02f9CLo7VT0/tGv5IfWu7oS7uX+wsZW01MwYl0Lnj0nV7XhhznehBso1r0aSsWOscbPLqMQbVCZJxSset4bqCh03ur2MfspSo0J5qDr1AcqOsoU2TugmfIWTreh6j3PiOT08YlBBhDbCNmdkuEPRlTAmwzz77bBZM/+EPf2CPoKAgNqKrq6uLVbX//Oc/m7EZ/RKpmRfktYA7vwL0SX2xs8wiEZdUsHnFJczkiqM0wEZywCgXc5jHYO3gqtrGtwM97N/vrWCZaphJ9Wd4UKEmwNbLiR377byX17Hn++jqyS4DtN9/ZqkwPbxkRC+lgj3gUtGDbe1nQ4zubVmszUFcRoADySkWy9h8PXvyHEEbAAJZxyonB58Zklf4Hb2kix9vLaEtxXWsquus+oiq3arbZ+rSrzwrL4EFlNJqDXoS1x2pYVUmVwH2FVOy6KwxaW6Pf+n/uau47atopAMVjWyut5YqoVrweXLfDkilnTn192UwkulwVRPbl65Gj3GjOaNc3DEK7eeD1WwOtDd46uxCTX+PdQWS9IMTI2j24ATFfx8RHMjUASzQ1nCd5YopLUZfH24pZqo/JAQd+6z5/tc7wObrLxDhwu3dE7gevXzROGM8fazmjoOsRmcHrEZwAoHA5AAbi6q//OUvdOGFF9KKFStYv3VoaCiNHj2aVa8DAwNZsC1MzvQHfagIiJDFhHHI0lGptosikI7j4iY9qGB7a0wXApd3L5/IXIaNdMj9y5e7afmeCibFPHdchssKNqRPT/54kFVCP79uKvVnIjQsJvSSiGM8VnFdqy0IcRVg21zEnbye3VVaeaAJCS/M2tC//+eT9RtbhmrRbz/ZyQL4f14yQdbfVNpm8cqrIOJ9IzFhZOWeB/3uqpoIyNo74bqtT6CPijmShJgx7SzAxnVtoE6tJqeMTGEPKVyV4W4RHxEc6HGhjPskn/Tg7rmQ8Pv3z4fp9MJU+t0i9YaBahko8e1wnHPuD3ywpZje31xM10zLdhpgwxuEXwONqmDzMYB6n6v7KxqpqLqZsuPDPE4e0AJmfz+z4hALrtUE2EiGqZXe17W006Pf7Wf3BgT4Wv0XYGKGWe9IaPUKsK37H1L6/6w+TOuKaukfS0dqNjPkbu+4HvhCWxWnvKHnbG7sW0ydGZwoFKgCgSOmzvhAtVrah11fX09vvPEGvfnmm/Tss8+6nWstUMdvFw7p8W9HB2fubgvp4snDkmnaoDjWD/rIt/u9EmBjkZnrYbaoHnDJmKuKEnfg5JUKsz8HX4SPtMJiQim2udQaFwt8BFS3hwC5vcv1vOoHTxvOJHhqpK22wF3niQcIWr7fV8EqzKheyNkyfmzCaEYOqGK36jyDWgqSA1xC6O6z5QZOeozNAkYHO7KrZDq8H8zXbevscCtp9fb79Xc8tRRYklSW/zMqCaznMSUFY6VeXFNE541Lp7vm55NRcGd/bxyjOD8+21HGFHl3zR+s+XPkii1naoV0a2/05mN1tL6oln2/4kCl0/YYRa9pM6PznXMcSWAolAA3rkuPCWUPgUDQG6+cvTt37mSB9aeffkpNTU0UGxvLKtoC8+FzNiEFR2DLg1vbzw0yQ/I2PKPtKuCTSsQ9ua72F+I0BNiQMQ9JiqAkjf2arMoXaKnEuqvy8QWwM/kqxnephQfYRpjvYVsRWDHn3gHyA2y5i1g8fyNZ5jUbQXVTG0t84KNxN1+cn3MdOgX67hbAltfpoj99uZslZP5y8lBNfd+QZ8NlmZv8SHv63S3i39l4jCkvThqe7NYMiH02re6r4XDtNVKeLId/fLefqTlOHZlCN80a5Fd92J72J09w4NeMui8EWhN4vCXFTBdxcN3bm2lPeQM9snSkKvdt2/pBw7n23d4Kdq9BlVROG4yzdiQt7UCO+5tXq6WgReOF88cwBQ1UD6DEqrDSAiYKAC2TS2A4efZL69h7d9dOpSQJ/M1N01gV25/Od4HAKEy7Q7e1tdEXX3zBqtUbN25kAfX8+fPptNNOo1mz4J7rP3M0fSnjCLk3Fm28alTR0Mpushj1EhEc6FIKbr9Bmi9P+u/aIibzumB8hqoRH8rmGTt/fzB2S4gIssk/jZSr9xUQICNAGJuh3EX7iinZ7KEHITzAdrNoslWadQ6EeeBuxGgenKcIsPHeIoM8bzfOERAdGuQTxn28uoERLu76nW3yV6vKQCt8Aeyq73vgwAG0bFc5+75lwRDVC01cEy/473r2/Q+3zLDJQPk1xF1QDCNJmAFBYuouwOaKGneSVu5Y7M0KNmYLg0+3l9Klk7L8asHNDbVcJYB4Ygv3BKN8GGxBvs7mXHIrozjWMS1C7chOvn7gvi5qePqng8wvBtJsJQE2/8xwLk3OiWNjJWPcJPzkVuO5yacUrJvGZMTQX5btYf++dfYgunhiJumXCFF/jmPNV1rvuZ1KCdieiPie2/TLkWradLSOqR9HuRh7KhD0Rwy/Qx89epTeeustev/996mqqooyMjKYY/g777zDZmALjANyzZOeXc2+xwggLAbg8ru1uJ4eWTqC5uQn9sg0ozcL/Yzo6dQjA60WVHvgoLlgaJJhAXabh0DpltmD2Nd3Nx1nX0WATWyxgoe3sfVQu1l8utu/y3aW0Z7yRpqTn6B45JZN6m5ABZsnwVgALOO8sxktyQy0/njiUOro7raN69ObCmt/nqdgy94Dr0/wwIMAVyOwUHnBZ4tqYKuG16yy9rxj4S5NPMqR8zbxRKaHyuEz5xSy7U1w01evNLFiBNLElT8F1z2mDLhIAKH6e+GEDENnydsqr3pXsGVWRrWeozxBpGX9YE82KRvVJa1g49jUenw2ePjMapvbbcaxSwtTdUm6YNuHp0RSnrWHXA3SJKdRbUHg3U3FTG0AZ3ERYAsEJgTYMDN79dVX6ccff2TV6pNOOolOP/10mjx5Mi1atIiCg/3rpuyL2EYjSZyyHQ2ebJnmoIG0o6Se/vb1XuaW/bdTh7MFfIEXTGz0HKujtcLJb64wiBP4BiEyJLlcoeAswP5+XyUt31NOyZHBigNsXtVSOjZGDj0roZ6Pt1NGpLBF2DCZTtJTco1NjqCiCmMieDi449cn5LNzWy+TJd6vjGuYu8+2o0ubPL6q0eqgG26Xh/PnJg+eAHIVQRkxnpMfvM89zjoqxxtI36l0ZJk/wP0VXO1PuDPfMXewsdtgvcbBK0JPeGXUkwmXVvdt6bpCe4DdrWv7lxJwH+HP5yrJDgM0jl5JL8jyX7l4vKbnkJom6qFa2nyslj7fUUYjUiNpaWGa7eexYVajN+t1SSAQGBxgY/QWeqv/8Y9/0Lx58ygszJiqiUDZaCTHG+cTZ45iN0NkmtccttwoWts7veoOyxesRrod88qAuxEzzC1WIgcUWHoCS+tbWB8zd52Xw+8/20k7Sxvojrl5NDNPuausFMzexP5wZzSGkUhYTPKbv7PFq5rqDK9qGVHBVmps5GmerdlAKomHJ/RWQaDXkBuEuYLt83ZtVfMq6wLS0bX97LHpNHdIgtvefr6NrqrsSuAeCO763I0G0yjQhw2VkbfH1ekNnzyg1xg5NeBzxUPJNVZP6bEcXwE5qpJQr1awA6i8oZUlVKE6WDyip/u/Ekm9uyQ7EpxIumGE38Pf7GMJpxtmWhRw3gYJ5jadJjbsLmtkIwlrmhMdAmz13iwCgT9jWNRQWFhIn3/+OT3++OO0YcMGWrJkCRvLJTAP22gkSRBpr7bYb4D8JhhqXaC6c7A1A24gZWSAPTUnjvV2uRpx9Nj3++ntDcdo2qB4+u2CfENHmvQVUE2Z99RKdnx8cs1kVsmRC3rBIKPTo6fw8TNHefwddwscfg6oMRDKT4ygmXnxlB2nv9O9zV3boPPv54NVbMGJAFeL0Zuv8fE1k9mCPt7daDAd5uHCxM1Z5RhzofFwR5Otouc+4Ph4WwkdqGiiRcOSaITDSCDOH04sYMF+arQx7TNyOG98BpPD6tHX6WtMyYmlP55YwMYPuZIE4xoI936j3r/egXUvibinCrZGifgNM3Pp3HHpmtpR1G6DTbkXMICO1bTQ37/Zx85PNQE2jAQ/vHoSNbZ2ulQtwRh22Q3TaFtxHV3xxiZKiw7xmQBbz4kNvDXFsSVJBNgCgckB9qOPPkp33HEHvffee/TBBx8wuXheXh6dccYZ1NLSYtTLCjyMRnJnyMPlXLgJw2gMVe0zRqcaYugkr4JtnET8znnuJX4BAwYQXj4nLpzOHJNu2Hb0JdDThfmXRTUtdKy2RVGAradsT68EjppgCzPTnc1N14P/XjSOQkMCKCkhiqqrG93+LtQV20vqmSQRkmx3pmKcF1cfoc3H6+jvS0YYEmBjvBgk0J4qmmsPV7OEy9iMGMryEJjKAZ+Bp7cjR8btCT5RANUqpbgyk3QEvYwrDlRRXkK4ywAb3hm+gD8G1wDJVHcJ1Xc2HqfnVh2mM0en9RqD6evA8R2z6nPiww09X5C8xkMLcgz/nAHX8WU3TGXfF9e2aErW47oqp21Dej6oNYaTgkrxy2uO0AkFSXTbnDzVz6PnxAZuJhnjIsDm10eBQGDB0NVuVlYWC7K/++47Nud60KBB9MQTT1BZWRmTji9fvpxaW7WPNBB4kEpJK9iBPTOaDy7fSw8t38sMfHgFG9UROHg+/O0+6jYuxvWa27EcuBkR7yUTWMiwViSO1lhMXZSbgw00xT3/eG0Lq9YiEDUi2DICLND4eB45Uk9US8568RfZ54nR59VN722h6Y+voJUHq9z+3mvrjjLX3S3H66gvtZ1wiThc0h1Hd0Ht8tP+Sqd/h9fkvbSeerD5dmoxYxMYS52bsU16caiqiX77yQ52f9YTeCSgpcGT8VdOfBgVpkXZRjN6A7UBNgoCUKbhYYafC4c7puuxZoBKAmP9eNVYLYMTItjUggAdWppcjQfkih4hERcIemJKY2lAQADrw8ajvLycVbRR2V62bBlFRESwn997770UHS0s/k2rYFv/D5JE3Hwum5xFIdbFH5eII3ur95gjOQSacFOEPBhvzVW1jUvokElePCKZVZPMruT7IpC/gbJ6i1xWzegUrfzt6z207kgN3Tw7j+YPSXRaSV36wlr2/YrbZlKINanE0WM2qrfh1QT0SsqtJBp9XqEyhvMq2oNfgZ4u4liAIhmIyrA746kXLxzL5JJaFBQTMmNYwmacQ585zH8e+W4/zc1PoFmDe/sL4Dr6wVWTWGXLk5eDp6AClf9NR2spPSaUChUa9AnkH8c7S+uZEdj4zFinwY+zSp6eQEW2fE+F7XprNtdOz2UPtXy8tYQliRDQq3XxPm9cBs0vSKKCJPXtWVqv9XvLG+jLnWU0KCGcTh2Z6vZ3uToF6ydcJ7R4E/D7pdY1x1NnF5Je2MYDOiRdhERcIHCO6c5NSUlJdO2117LHmjVr6N1336WvvvqKbr31VhFg6wwufCcUJPaQg07KjmULcgSMWAzzxbazRbocuacR/HbBEHaDMbLHcO5TK9lrfHj1ZLZYdUQq5bz6rc301Q1Te1Wu+iM8e93QZrnZekMijnFQkKnXuZCkSRdTzhJEWiq5t7y/lTYU1bCRV3qbjKGyu6usga6YlUdD49xrnuua+SzkIJ8wD8SCks/B9jSz1v75aw/0Menggy0l7FrlLsDWw6Rw7pBE9lDaK4p+Wrm9qJ56xVH1//3nu2hcRjQ9d/5YBVsvkMvW43V098c7WAX3xQvH9fr/WmtVUctsZW8kw3BMrTpUxQzOJmTFGHpvf37VYSqpb6URKZGqA2y1CSTMaP9+XwWNzoimQutcZrWf497yRnrll6M0OTvWY4AtdUzH/U5LCwVXV+mRkNaLet6D7XAtRRvdv84Z7dWpBgKBL+JVa+QpU6awR11dnRjbZQDDU6LowdNG9PjZomHJ7CEdQcXdbRFUPrRkBB2uaqJnVhzSxfFWDZ4Mg/QADrG4hbmq0EvfOyoVIri2EGF1n+VutEoXDHpIxPmiw1VAwxdTqBw6Mws6e0waSzypkT9ikYr3MtCAGbgI3H86UEXzhqd4DrBb+Sxk+Zdwu3u6/hVsBLr8c/ccYHOTuS79RnS5cRA3Gj1bDkI9OCfzEV2xItlnuIu4q6Cs1prcijFwDrkRyTC0gd310Q6mell5+ywyEvvoPPPPyx2l9fTe5mIW5HIFgquZ5p5oaO2UnaCTXoOgVtHy3u1jRH0nwLY70Pd8X1B6YLSrQCDoiU/MHhLScO8AKS3AuhuLb2S0IbndeLTWr01s0A/J106uRj1J54T6k+OyVvjNFa6qSoARF8aXeDJ5UlLlcyWjtfd7Ow+CEyND2EPTwseAAFuJdBoBrfIAW7/A1hFevcb2eKq6BOnolo6RgnLm7f5v83FW/T15eIrqeeDwHUDgA7dy7s4rp+pcUtdC7246TkmRIXT++Ax5PdguZv/WNFudzL3YG+vv2I5PF+ehfUyaccsnLaMEPY2civAwogu8sf4ovb7uKJ00PJluma3cZMs+91399f5AZSPtLWtU3A7BDb1wXkrVMmpk241WpZacWe9I6PK5080dnRRL6s9RuxO6tgAb4zG3FdfTr0/Ip+mD4jU91zPnjGZBtqhUCwR9KMAWGBdA4yYjXQxiHiv6NxFY8psgAmnpjYf/3FsVbJgFQSo7KSuWxmZ6nqurlB4SYof+XA7csjnxEWIxyxmcGEGnjEyhUS4cjl3x8kW9pZZq8WRcY1tgGZD956/Jq1yGLKo7lATY8o9NrYEtjJd+8/EOJo197IyRPRbqcuXhPfafijFpaivYG4/VsV7KIUmRqgNstIqgP/f1S8ZTQXKk7AAbjvuQmebEhXkOsD2oM+wVbHFNMgpPY/xsEnEDK9hGmHPZRnTJCBaRvCxraFNlXAWTSZ789JT48uSo/+zKw3R6YaqiAJtXq7HugZz50dNHsn2KT1JpWpSr/OS2mLx9+UT2WnKug/J6sLUlcnG9wvVHqlZUC677rtoilu0sY69z8ohkUZAQCKyIANuPeWD5XvpqVxn9al4+m0kJUEl58seDzLjrwvGZvaq13+wpp4+2lshyvDUK9E99vK2UAmcOMCTAli6cXFWwh6VE0Y0zc5lUPkHIMW1ACuZtOViIB6dlHpy4mlu6u6yBVhyopMyYMMV91HzxZkQFW8ncV/vCT34S7KwxaTQjL54lSdSA10RyCgqXT7eVslnI0oUckNNvqaebOQ+wPVXN9XD4bbJWs6TXS6lSwtV+42N75FTz4PC8cGiSyyoRD3hEBds43B2fqIIuHZVGNS3tmoMod/BjCvcqBKx6zMW2S3w9L/vsSgrl56j0b7RUsEOsSTOl29BmVX/gPSBR4cx4UOlnFinjMwNa5n5LgUomNz6MOaH7umGs1D8EjuVC8ScQWBABth9T0dBKiCWlMlL7HOxuanIi43pw+T62iLt7/mCXc1iNxiZlNeimIF0Iu8sQ86ABNzuB7+CpYtjuQSK+u7SBVUZm5sUrD7ANrI57el9SRqVF05VTslhFVi4j06JpZJr67cNrLhmVSv9ccYh+3F/ZI8BGYI2+9nwZwfupI1NoTEYMc+Y1SyIudfhVA4IcPsu6d4DtPjFik8s6/J0z8Dm6S1LUWJUL3LlXQAa2avS+/0DpdfvcPNO2gd8H+XhNI3po3V2L1ARm0iSWFpMu/rdKz1neAqPHBJQGBVV/Pbl51iD20ApPBGtNZiKx9Pdv9rFr3zXTcnq1DwoncYGgNyLA9mMwR9FR7iyVIMIl9cvrp/ao6PJKD1uMeznA1rP/TApfNEBC5q4nq7Kx3atSeV8EN1pUFLCIkmv8hlFKV7+5mR17r1w8TnM1Jj48iLJiQ132H0PGhmqtK1kfbwtQs+iwm8/oX8HmrRxyAuxxmTHsYTYTsizqhYNVTew4QLsJAsLJOXHsIQeoQ/DQA7kScR6Ao0VG1etYg2tn1wMkCh4/Y5RLNYE9kTlQN98MxyBfYESC13tj/BAE/3DLDHadkbZ46SIRl3HshGi4B/NzBQGylms9306uHFHcxmN9D5/vKGXXiZOGJSs+b2wmZzIr2FAIHqlupqWFqbKSjUZjX+9pK1bg84NxHECA7QhvWalW0VIgEPgrIsD2UxDUoCcGSCWh0moL5EOOMjetC1E94JVHo2RNWLCgeunp5p9oTUyMFvNmbWDxcPZL61hv27c3T5e94EJA5srVWymXTMpiD3cyvXsWDHH5/7wtQM2iA8dCRkwbRRnQf2nkGC1uGrSvvJEyYsMUJc9g9PPY9wdo0dAkm6qlvKGN7vpwO60rqqHHzxxFU2QG13oDU8bxmZ5HDtkq2JJAWQl8kY9Yx7Eqhz54SO9dwa+lcuSy2D/f7i2n1OhQphZw5PoZOeyz1zIbWOAeJIzunp9P4cG9EyIIuqHwQgVPj9FvrsDxrHcSxVbBlrHdPAmpRiKOBOg/zy7U7LEQoXpiRU8H7r99vZe9j2m5cYo/0/9bOIQFjcmSIoU70JK36VgdG6PnCwE2T85oNbbkib0BLlQJooItEPRGBNh+yq7SBpt7s1RO6MmBOcJ6U/vv2iJWzUYl22wCDQ40kFR47IxRHn/vttmD6Pzx6ZQRY/zYsL4CX5wh6JLrympk37LZFar7TxlORnHN9By6ZmYupSZGUWN9s9vfPVbbzKSjSAJFyKyufLOngp77+TCdOTpNUYC9fLfFlwGPpaNS2TUFyTuYPUH98vLaItZ3lxkbKiuBgiTNnrIGSo4K0Zy8QqzCJrgAAH/KSURBVKCTKiNwDdHYg90k6aNW6kTMpeVyAmwkQZ5fdYQmZsU4DbCn5WpzAhZ4Jio00OZZ4sj+yia6+NUN7B4C9VdfArOv4SYNsz25FWw192Cck3LVLO7gihClEytum5NHV03Nts1rhgoAxXs15o64RuEhF66k4ee8Wn736U7aV9FIv5o3WNNnaU/aduumnHF2/eOO+jVWE0aBQEDkO0P2BLqCKgfAotf5nNUu1kf50PK9zK2Tw29Kqw5V07eSn5uJrW/IgHFCSgN9EVz3JNJaAUBxQm5vXDs3nTHAedsZOLZxo3cVTBk5D1oLCMBw/sn5nB75dj9TEiD41Wv8kCvgJsy5bkYOW7yCndYk3rojNXTWi7/Qyc+udum8LAUGc7/9dCe9s/EYmYXWHmxXBmfsOds76eNtJfT+5uPO/1ZBBZsnAtRUDgXGw/eLlt5iuTy4fC8bs8S9QLSCtoxzxqbLCtjQZjM4MZyNyPL6SEiFEnEUFKBi4o7XXLGkx9QCT9gUgC7m2MulqKaZDlQ2aW6TQ3tgdlyYIjNMNdcwbrqoxnVeIPBXRAXbT7HNUXToTZRKwDcdrWV9NVjQzxuSyH4ulb15aw62XllXgf5gYYn4FLsGPX1yggbp2BQ9+GFfBf3758M0Jj2afuNECo7//91nu1jF5tlzxxjqYu0teEVBiUuvffSPsvfNqxKXT85is5xPKEhiVehJ2bF054fbbUFHSlSIrH2s5wiiH/ZVMlfzidkxNDPPtVsw5vnOyU9Q5aewt7yBJSzPG5fu9POG7Py+ZXvY92eMTutVxT9/XDqdMCSRVUY94U5hBMUIVAgwS5ucHdvDCEugH51d3bTpWC07TyZlx7HWFk6rNXAyI8D+enc5G8d39dQcQx3LXXktvHXZRFV/C3XNmkPVlBIV6rZ1whMI7v94YoHL0VBy0XK9//fKQ+ycPHtMuqzzl6+ZtFawHfvI1XLDzEHsoZVmD94PQiIuEPRGBNh+CirXJw9PpmEpPV2GcdNbMiqFLYZL6y0maFIJudQ4ylvmXlgMw8DJqPnTm4/V0o3vbqHc+HB6/dIJhryGvwJ5GGTiWPg1tHWSJS3jnjadnbfRk7e3vNHl+DReRXU1gs3TnFtXIMCZ9/TPLIh874pJus8iRiV42e4ymjAogU4dluT2d3l1PkKmPLyHNF7h+7aNhrK+XyyybrI63MI46KNtlrF+J49IMdXZFmw4WkNvrD/GgiB3ATYCY7Ujg15YdYSpeW6dPchp779UcQAZqmNiEmaAcg0B3TknY9GNyj/47ubpIsA2CByX17+zhX3//S3Te5xjtvnOJgTYept9HqxsYtXwjNhQQ0cp7SxpoAeW72N9yFoCbHgbnOakTcIT/9t8nLWwLBqWzMZGqU3oYXLAf1YfYfOzsR1ymmrCdPKwsRVIfCSJ5qmCjfXas+eOljWmUSDoL4gA209B5h0PRyAX+sOJQ9n3v/pwO/saIwmqEXz/b0uxV+dgK+17UnPzQtCnNNAQ2KV7CLDlms906Oy8HeRpDnaH+9eD6d8L549RFJwCHC/8PUurWnpxqKqJPtxSQi2d5DHAtlWwnRgxucImjVcoP+bOsM5GQ919Qj6NSIti0vYFBXLSLdpGADnCTcs8jenSwtEaSz98ngvTIuk4OFxbtCh/eFLTWXsD3+da5wsL3COtGjoeo2ZKxO2tUvrcp95Yf5Q+3FpC103PoaudOEHrBZdHe0sBh8r/uqJaFlzjodY8Eudbt0NrlFk92LZ7mEltVZ7g16NwF9dZJBAnaJzZLRD4GyLA7sfUWhfOUgkWTM2m5MTSmsM1XrtBGo2Rs4z7AxEsMG21jX3xBCSzqVEhTF6sB54WTG0e5HVog8AcZqVIF9tGjOnyNE/ZWUVBicrE9rlprGBLQaAB0zQlBOrosWBbzHtYiB6vbaFXfyli1fdbZuepWly6WmRb3PEtvgTOkhcYE1RS10qzBydQvgf37whr0kcaTDvuc9am4SOGgf4IPlveBuN4jTEzwLYlonTqx+fnvZz7HlpA7vxgGztfXrl4vKLX4cGlHuuHVYeqqL6lg1XCI2QmRB2v/4EqJeJ8BjauV3L3Ny9K8FYCtfB7gDR5p4YPthTTOxuPs2kLMNFUy4xB8fTBVZNIhyEgAkG/QQTYfgpfCOACLXV9hMwVCzVUfqqa2pxWpmqbrYY+XgqwUclbcaCKjcaAzEtvjJxl3B/AiLOhKZFOK5rOKEyPpk+unaLb64d4GCHDR5LovX+lga8R/a98NI6cCrO6HmzryBaFC004Vw+KD9fN8M8mfbWa32nBHvC4/xywSIffBCSMSgNsqYO4M3B9RdACWbcz47zPtpfS2iM1lBod4jHA5j2O2L+QqEr7ufk+lzPHWKDd4LKzo6tXBVvu3HU90DMRxZ7Huu084HQH1gmHq5tVmWPZx9Jpv0b+4bNdVNvSQW9fPoHyEgJV3d9vm53H1jxDknq2y8kea+bCOdsZ54zLYK0ycu+NngPsgZqLKHAjH5Gq7L07gmQJjOM8BfNoQThvXIasfnWBwN8RZ4Gf8q8Vh+j19UfpkomZdOsc+4KyobWT5v/z5x6/Kx3bgaB7TEY0y55HaHSeVAtG+DzxwwFmUmVMgK2PgUh/hfffegt7gOZJIj7QZWUCrs8o6Fw8MVP26/LAFOteIyqI9vncnhfUfKGvJMAemRbFTIOSFSoJbpmt7/6298B3mSYR1+Lu68ngB+B6yQJsJ8ekkjFdUBP954KxTl+LV7D9VVnkS+AYRfLG8VzMjg2j00amUEFypCnboOe0AyUVbF6xVTPayh6Yal9e4lhHgK1Ecu14f5+Sq27MFa9gK5l3jgSeHn3I8MgJD+rQrJSw9/Eb3w73zIpDTO0EM8moUOPPD4HA1xEBtp9iy4A6XKAdF6LonZQ6lOLmiywkHDzHpCuX0fYFF3H+2YgKdt+ELzpcSf48LSSxAHzs+wOsQqQkwObPa1RixlPigIPKJrYblSIliz9UoH1h7ByquH9YVKCLiaFcibhad19U8pplBLbBbnwB+DbKqejhmHQ1G7zNRHlyf8eu9uh5D5qYHcse5m6DThVsBfc9vm5AYIZzQMns90YZCSm5qDEN00uhBhNPoOQaqxdqHdyNOoYw0nXL8TqamBVDU3PjXY7qQoAtRnUJBBZEgO2nuFqMBUr6y969YiJbrEtvnriZPHDaCPImascJyYUvmkQFWx04ZnB8Qb4qZ2bzyoNV9PzPh1ngcOe8waQVBDpICsW6MFXJT4ygxSOSaVSac99X3tcG0zJHGa47PJmnaUXuOBls780mqQgwsgjSZCyW9araozqzpFC5O7D7CnaArIU63g8Wm5AAywFVTB5iuWuZ+d2iIYTdlu7EnZkH6FqNyfSSjQrMd/BWw2NnjGI9r3q1atkDT8/Hj/QYQ6I72Nq+IgfuzaFHKwOX4vPzXA6OCVaMIy2pb6WRqVGUJVHryX0fSmTyByobadmuctbedtaYdPI2eo1EXHu4mt7eeJypt1wF2GyqRhVRtXWso0DQ3xEBtp/iajGGYBqLUWSZAwYMYKOqfA27KYkxFWxUzpCJHeKhH1LgnH98u5/e2XScrpyaTTfMyPX4MUERsb2kXnNfmjSA/vL6qS7/HzPd+Vx3Z0gXmB0KFo84LsdmRBvWf2mThOpkauRIXUs7q0JAii5XNlne0EqnPb+WJSVW3j6LfI2HloxgUk4E7e6Q7jNUsaMUBKlwXUaQ7E6G7m5EmNJ++Y+2FlNZQxuTIqdKAva8hHD63cIhor/RBHBtQ9XUcZoFjoPubnOM5rTOf9YyLlH6O1hLyEmkci6ckMkM/fRYW4SpaO2wJRKsLTevrTtKP+yvpN8uHKIowJ4+KJ5eu3g8BShIqB6uaqYXVx+hwrRoHwmwB+iSKOLXMHfJHqghgdzpIgKBvyMCbD/FLoPufWPE4gAXQTX9iGagdqyGXLAYdrcgFsjMissMBH3NVI6bByldPEJe/fz5Yw3bLpjBLbtxGqUkRlJ3q+sqAAJwzLAPCw5Q1O+Hxd8dH2xn7R8fXT1ZkUwyXId+Sk5jWwdtOlZHA6yLWC0gsPYUXPNjjyt3cN2LknnrQzJS60gjXn2TG2C/vv4Ym1k8LiOmR4CN709X6NguUIcrZ/ynfjxI7ypILvoSZ49Jo5mD4j0a7Tleq6HiUGLbgOeX8xpyCAlSXsH+97lj2DZnxob2VAYpTFxCzQczT0XbG6jdRRzGZDe+u4U9F/wYlMjzHeFJBq2j3mxjutyoErhiQQTYAoEFEWD7KXZ33d4XZy7hwWLhybMKydeQK5UVeAde8ZWbFTfbVI736yFwdib/dqxg+wpYUEWEBjLpe7WbAPtwdRNd+MoGig8PomU3TFNuLqbgvNJT7slBcuD2/22jmNBAWn7TdDIDqXJH64xaZ/xypJrKG9poXGYMpUmCYmkPNxIichALVd+lXafxSXKVDNuK62nh0CSanKPOqEuKEsNQnC+58WE0gAawY9hbhLmZC+8Kxyq1LSGs0zxxeQG2+msM3uue8ka2DtISXAMY1SZFBlOsRldvbrDoLknIg2+54zsFAn9HBNh+CpeZOqvOTRsURz8frNbFhMQI9Mq6Cnyjr0vvRSnkare+v5UF+C9eMLZXP+1D3+yjT7eXsj7lyyZnuZ1z680eS7UocaV21nqhxFFWOqrG10wMsfB/4oeDbBGJaQme+rDfuHQCux4qaVVAtb24tpX1YUqryY68sOoIbThaS387dXiPABu8evF4tmiWu8h1FVSU1LXQwaomSorwPO5LoA0oCNBSkRMXbuktVeHErZVfjtSwft5BCeG6BNhKefeKSar+7qtdZUxGjzYUrW1BZ41OY2MhXRn/GZmwh7HX/opGmpQdS6PS5L0+N1vUcl/h10U9jjEo9T6/TrtazyYRd1vBFhJxgUCKCLD9lLGZMeximBbVe1H40GkjaHdZAw01YdSIGjLjQumfZxdqNgVyxUtrjtDr647SGaPTvD5yqi9iHx+jrIIt11jKE1B4bz5eZ3NtdnxeOZJ025xbBaOi1hfV0O8+20UFSRGGKD9qmtrppbVHKCwsmG6ekeOxQu9pNJUe5oG2AFtHJ1295vuiqoJRhAABticgjVcKKog3v7eV9f2/edkExW0tqEDpJTP96UAV/f2bfcxf4O9LvGtE6e888PUe2nisjh46bTjNL0hyMkt6YJ8xqOLsLK1nownRy2/UvRVgxCY8BF69eJzmAFvpiC0k3Z79+TAFDRxAF03MZO9TrWnqt3vK6bMdZXTr7EGyA+wQq9eDlgq2u/Y+byHHR2JpYSpNHxSn6jorEPgjIsD2U65x0zeISs+YDO+M4JJDRHCgoRl7zALHbM2+WL30BZRWBPR2P5aqMto7uomClUvSH7c69Ca4cCJ3tciAYVutjJ5ftQHjG+uPscDZbYBtXbwpNVuTuqd7UyLO91+7ihFAjucxVyQYNbrKPgs3QNY5oWVh7VgFc3wuM+XJ/R0eQDuqPWyj+gw2ODOiVerXH+1gbtovXzSOOWobAc7nuhZ+zTB/eYndBZMxcO64dIcAu1vV9UXJtU8PiXibD57nXE3j7rPIjgtjD4FAYEEE2IJ+h5JxJQJ3Fexu2b+Pflu9WhLQV40qKAJFZ3OH7S6yrhcoambZGr245gsqTy7iaivYtqABo6dkBrZGSMR5CwjAPlRrfseDX7jXynkv72w8Rkeqm1mlZUhSpGzDIRATGiQzadBz3yEh8/G2EjYjVq5BmatFun1MnLhueSu4tSc5BvY5s0+l169ff7yDDlc10b0nDaURMgNy+BAgAYiPT475oCeO1TbToapmZuYoR3En/az4ecKvq4oD7DaeXJO/TObnLk+C6t3epxRI3P/61V6KCw+if5w+UvXzPHV2IUs4ZMWKAFogkIsIsP0UzHs1eoyIUSCA+HxHKbshIgut1ehDTQAmcA1usnPzE6jQxZxpR+C4i4eeYCHT0dbpNBi19bDpXNXk5mBBBlVL+YIQ6+AON/Jppa7Utue3Hu/4dPARyZlOlhkbRgsKkjT1QPbaDklAjWqN2oBRbnWZs3x3OZP9wohMdoBtrcbFhAXKnJvc3atv+pkVhygtOkR2gB3sYpGuZ2+mwMM+cGGMxe8d3M/ASFwdU2pRmhwoqm6mA5VNVK/AtAq969xoTI/r71e7ytn5g5F1fzxpqLIA23q9WzA0iQYnRjBpvBIaeQVbQYAN48n/XjSO3Z/UqnP0VHzhubYW17G53FrABA1P4Fr34/4qCg8eSKeOTNX0egKBPyACbD9l6QtrqaKhlV66aBwNTzFGDmYUuCk8sHwf+/7MMWm6j3cy29Xa30BfnNLeOL2x7LtOpzJ/OT1sMOKpaW6nufmJvWbduqLN4MSMdHshfXf1Ony8HpcSywUKgrvn5ys6n+bkJ7CHYe9TQ/DAR4hFypSiBquQb+IYkVPBDnFRbeTuu54M2KRcNCGTThmR0sssjfes+8q4O38mkBttOhwr4zNjmWIi3Y3hna9KxHkyUm5ygJ8vnhQ1Ug5VWQJsPWZg9zT8U+b3gXfICwxY/6hZA/HEQqQC9Q5UQnKr/e4UWgjUUXX2tT5+dxytaaGHv91Hg+LDRYAtEIgA23/BTRnX1L4YRDouwPX2YxEL1b6PTU7tVCLuWQr5wuojrNqSlxAhO8A2OjEj7bnDMRo00PmBj2rMuWPTqSBZmZM0thuKEG+Dhe/d8wezxajSJIGUhhZlFWw1klubRNyDWRMPhhyDEW4OpGSRnhMfTs468NvgNyAq2KaOInSsYOutxDEzOFLqgG6XVss/X6qs50uSksHZMrbBnaLHlcGlVuUbH2cap8CnQw8mZMUqGr/oDn4P1OI3g4TkC6sOswTtJZOybCaVLltbhLeNQMAQFWx/n4Pd5wNsvA99I2y+UO2LyQdfAfI3rNfktCH8Z/VhWnekhs4em04nSBx5tYCAB9JJZ35dE7NjKCEiyG3gHKTCydpokyl8lnjmbmugFu7CxAwLMDzMatfAeaJ3u8m54zI0P4fSHkl7BVt+wGKTiHsYsXXqyBRmHAm3cec97NpvtXLc8QU6j4r0YrBw3rh0Jo1W0gPsiq7ubtY2puT44YG4koCp3nq+RGmcu9xbJq+sgi29tx+vbaG95Y3sniDXDRymXlx9gmqyEjChBIm188anU7QH5YvR8GueEmNLZ604L68tYvemy52MvTTKM0Ag6OuIANtPaevDizFsMg80jLhYZ8aGMhkXjFMEyllzuJpuweiipAg2W9gT+8qbaF1RLc3JT9Tt43b3ujfOHKTIyVouWCxhRJdRY0hQccF2ITmmV9+lIxuP1rLxT2MzYmTJlu/+eAetPlRNf1k8lE4enkK+xInDkmlMeozsXk+l4+XAwqFJbBayp1FbI9Oi2cOlE7HMKjvACEWMhEP/++zBdnn+/IJEyowLoxEKx34JlDM7P4HSYkJonMO0DdyPkGyCjNdocL3RK0CTXufkJpbVSMShkJmaG8fusd6o4tvVafb3uPKgZbzd/CGJ9JDM8Xa4Vrxx6XiqamxXbPD4wurD7LxfOCzJ6wG2LZGsYR0lnYHtThUQZFV9KDleBAJ/RgTYfgiy1fyGZNT4GiORBhqOEj09wOzrm3R/1v4DJGJKkh9c3udLY0fULDxOGp7MHkby9hUTKSEugkK7O4m6XPcFoxqFypbS8/uOD7axqur/rpzEjIjkGv2EKRwJ5omtx+tYhWhUWpTq6i7ef36S/L9VU2FZPCKFFmsYOd1orbIrWaRvOlpLj31/gJnLSQNsM5UL/R187tLPnnP+f9czJ/rnzxtDYzN9d9SlI7jc3TAjlx37ctsylE6L4L3XevVfW7ZB2XUavfGvXDyOuru1Sd2RRGFGiCoEV5iFjQBb7aiu7/ZW0Bvrj9LErFi6bkYu6Wec2e1S3u0OXsn3ZKqpJoEpEPgzIsD2Q6QZRL2dlM0CN4JWk8w5BMa62/J9yMdE+YKDPt8WXzu+0H8bFxdO1dWNLvsOn/jhAH26vZRunjWILnMj2XNGoEJpvC1AVFCBlcM9n+ygsoY2thg2y4RRjcmZXI7WNDMZKtx6pZVsNRJx+5guy98KfAczZfo7Supp2a4yNlv4rDHpmq/ZSvvHYbKF49mbiVGl12mochyvJ0qr4EigYIoJpg1MyVFu5ql1FnZpfSttOlanSx87rnnwqEDLA6ZgBLrw9XBHs6SC7fa1dHa9Fwj6OiLA9kOkN5K+2IPNL9aNLlyiBd5FaUVAz7EjnKd/OkjbiutYT9jU3Pge/3fKc2uouqmNXrtkvMtxTH25X4yP6VJjEGaTxsvsQ+YBYrgOPcR6Gzgt21lGRTXNNDMvnobJCNKvnJLF+lqVuPNiDjC2FYGGuwTRj/srWdX5xGFJdP8p9gD77DFpNH1QHMUrMEoKCXK+QN9X3sj6IbPjwxQ9n0A5uH5gpjN6iaVu7m0mJgvhyP3G+mM0NSdOc4CthnsWDGEPJXy6vYTJ52cMivdoDCgHeBrcNW8wJWoYM6Ukqfj2hmP0yHf72fcwYsR4QqXjEHmArVYqreccbGz7dzfP0PQcvIIdLrOCjQR3Xx4TKxDohQiw/ZRZefFs8dpXL3J/XjyUyZpSZTo8K5XJYrH6hxMLaLKKDHV/x1bBlrmAsM2P1rESgv23vqiWSXgdQdCMY4cbFek1AufF1Ufok+0lbLF78cRMMoLXfimi+o5uWjI8iVJcVDBsY7qsgZgSlJq78SBPi9u3UQmOL3eV0YoDVcxLQU6AnRgZQkpdAK54YxMb1/PuFRPdSl9dJQxSo0PZQwk8KeoYYP9zxUH2fv+wqICWFIo5s0byvy3F9OzKw3R6YSr9blFBr2uZGbPIlRp8uQPH0qHKJhb85SqcB62Ex78/wIwB3758gi4BNvwuzhufoUhJgnn3MLjk94ZgBck8HlyD/64tonPGKk9shGqsYNsT0r6xdoPhGwjzUMFGpfzxM0ZZHdxN2jiBwIcRAbYfgqz7o2eMor7MNIeqpJ6U1bdSSX0rdUobtQSyUbJgkVZ99HRtdzUWybJdXT1MV5xx+ZRsOr0wjQYnyl9sVjW1sVmffD6qEfxvczEbHzYpI8p1gC2zJ84ZgYpdeT3PFFcDn8WrJcBu5HNqdXBZdoXcmePuxsap6eF09lz8WHd3XAuMTQCZaR5q94nQfp8qrm2hi1/bQNGhgfTNTdPJ6GDMU7XTyKr/P1ccouEpkbYA25788nxu3jp7ED3540H2PRzH1Yz60triYYTiSws2FZOHfYp7y4w849ZtAkFfQwTYgn4HN05zV+EUyHCXlRlMQKKHBamei9IQN9tgC+jd7N+Rqcr7fm2LawNVIfbKuutFdQsfwafCeExpcoSPd9E7oNCjX6+B9zfL7A/ffKyWOQpDdrpoWLKs984/J0+O664W8V/sLKX6lk4mY5frPs+Pbb6fe4+JE9ctb/X+OhsDZRRBtkkH2pM29sSA/O3+YEsxfbythLlvY/6xnNGNeidTEbDvLK0nDDBET7Qn+P6RniP2ZJ7naw3e508Hqlj/+zXTnU2j9wx/bcfzVy56z7u/68PtVNfaQfctHkYpKhSBc/MTqCBpXJ/18xEIvIUIsAU+yYoDlWxExuScWMUSS29IlvsTcESelB3LvsKx3tPImhcuGKv7NtgCNIdFjHTeq96BiBmLazlOrLYebDUScYWVYwSGkDrqXZHi28HPRTXwSr7cbdtZ2kAvrSlio7fkBNjSCpTnCrbz4/HtDcdpe0k9pUSNlB1gu9pHRihBBB58JiRTLBBAGpVw0qOdQ15SWf52VzS20bbieipw4WPhiHTWsl7X3mM1LXTd21vYLOplN0xTZUI3KD6c7lmQT3EyJeuPnj6SeR2oXXfcMXcwU75gzJ4a7AosfT7DTcdqmWzfYlgZYui4OJjDISmCEYpGKosEgr6AOAP8EJg/Xff2ZuZILGdOsS/y/KojLIv82BkjdQ+wxUJVG7hxPnPOaPLFKrq0SsErF85A0HOgopEGJ0awmei+4iAsp7/d1hOnIug9f3wGG/Mld5TOg6dpmFGloxO9+0q+srm+cpMLPJEh5zVcvR+b3FOBrDsvIYKeOmtUL+dxM+XJ/R2ufpEeK9i1qObhGhOq89g6PdQm7mhXYZzFry98koAnpNdivY5RJdVn6e9JTejQjy3HJA4tQIermlmVV24yzBn5SRGkBfjmIGmol++FHoaScnnk2/2shQrjBEWALejv+GWAff/991NbW1uPn5188sk0bZrnDKg/gIoTFnp90SGZwzPtRox8MHPUisDYxWergxu29Jh3V0WBA/WbG44xF3L5AbbxFURbZdfN/PcTCpKosrGVmXspxZkpnDc4Y3QacxoemiyvOuaMVoVSeV6VlGs+JO2/9tSLGWINoB0TPh1OJKtyPDQcnfGBkIibhzOPALS6PLx0pGnbEKTRjVoKr4IrmYOMfm0g13NCOplAr2ukUjNELefIuiM19LvPdtH4zBj693ljyFvcOW8we+hFsEa1ENSEMBVF0FyYbp+QoJd5qEDgr/hdgF1WVkavvvoq/epXv6KoKPvCOT6+/5gv+JpJhrckpK6wy/z67ufjK0A26Sn4+L9PdzI5769PyNdNjYCKIh7OXhqyZtzg3SVQbCZpCo4v++LNuMSMK6mxlFtmDyKz9i1QY/TjCci0tdKqtIKt0ODN5qAuQymAqvNvFw6hBIcRYGp6X11hZv9vf0fP6rFaBieE07uXT7SNbdMCT1QrWRPEWAPsupYORUE8Lo96TS9RGrDZ1Wn218e9Z8vxOsL/uJtrzc28tFZe1xfVsHaUEamRND4zlryN3dhS3bH87Z4K+mR7Kd00M9djgC1mYQsEfhxg7927l0JCQujqq6+mgf3UxKpN4cLTFzFS1gR5bH1Lh+6jh/oTF76ynrldv3D+GBqZ5v6mu+pQFTW0dtJtc/RLltw0axB7OILF0WMyHPT5ooNXGOWAWazZcWEUJbMfzQwDOaUUVTczKWRGTCgbW+WOyqZ2WvzsanYd+fHWGYYE2lr4zwVjWRAst5Jvn08rb59HBgfShRMyZAUlkKGeOTpNF7UMWgC+3FnG/ASk0tZLJ2VSTXMHpUXrP7pQ0BOMsrpschZlapAKawWJHb1GaqnxHYGSQkmAHRUSSA8vGaHrdA4u1cdlWs5s5Q4nlXrMM7/pva3MM+T7W1zPhNZLIfLj/ko2vxznqy8E2FqryjZneA9junrcv3RQXQgEfR2/DLBzc3P7bXAtrbz05UqHnjNAnS3MBdrA4h9KAJ7172uVN7uJkfzj6/8W2ufhGgWkgfecMoJCujpdLpRrWjpYdUnN54lZyt/sqWBqAk8zXrEgw57DQ+/g+nhtCzNRQr+jGmdboFRervSagqAZhkVm+z1g/Njfvt5LiBGkAfaZMvpIBfoAp/mbHRJ4OGbP/M9alsRbbuCoKyOA4RbaYXBMy4UbW8kNsJEQmDtE6aR590hH0nXICLAXFCTRsJRIipEkQeUGmHzdpMQvwf2YLnVrl6d+PEB7yxtZggeybG+rMZoUeH4oVQkJBP6M3wXYe/bsofT0dHr33Xdp//79lJGRQUuXLqXoaPdVNn/CNqqiD1do5YwrEngP7tzMs9vellarrYwY0eOvhYzYMIqLi6Dq6kbqcLJAO1LTTOe9vF71PFte2ZFTzbAZBhkwluzF1Ufoo20ldOPMXLpiSjaZgb2Crf/iDzJUuPXiE5sm6Z9WUxXjwTg6WRBUGPH5C5SDfYlTwo09gq7AXOzVX46yY8Ax2FcKzBydKX7cgSQervOo/MppBTIC6ahFfP6eVHlIIDgmEaRqOHfvQ69EsNYAG87tG47W0mmjUkkPoNTDA0lxNTS3KQiwRQVbIPDvCvauXbtYFTsxMZE++eQTeu655+jNN9+kzMxMVc8Z6AOBaoD1os+/uqPDeiHFGB9f2HYtNynIzfrqezBzn5tNhLVPraWzy+3+gayPL0hDQwJ125c/7a+k9zYep9EZ0XTVNPu80t1lDXTpK+tZr/dH105x+fe8rxHb50vHl6d93mhNaMSEBanabm4IhrWkp7/vliya9P6MgoO0nd8Yo/P2hmNs0XfhRHnX9VHp0fTm5ROY1FHOaza1dbDxNpHBAR7bAqrrW+mW97dRWNBA+vnO2bafP3bmKOZ2nhYb6vI1Hfd5uKQHFPuA/9324joWbOclRviUGsQfQRKmtL6VuqmbsuMsMu2uAfbkrx7ng6dzvbON6D+rj7Dvb52b53Ecot6kxYbRyjtnyf59tJ6sPljNkn8zByfosg0BAQPo5tmDWIIqVOZ560hYSID9ejZwQA+HcSPWTWFW93+MRnN8Hjn3dD5STe37deTFi8dr+nu+PfgcPW2Pbd3mI+tmX8CX13ECY/G7APuiiy6ivLw8Gj3aMkbo8ssvp7PPPpv+/ve/05NPPqn4+QYOHMAqSr5CdLTn2Yo5KdE0NS+eCrPifGrblXDVnHw6ZWwmjUiP1vU9YGF+ypM/sRv2Z7fO6hNVfjn73GxieN9rYKDb/cOz3yApIVK30R11HRWs1y0stOfrhza0s6o0Akh32xXDP9OBA2UfX9e8so6OVjfTA2cW0lgdpHvO+HFPOW1YW0QTc+JpphO5ZcfxevY1PjJE1XkRad1vAUHu9xsIbeqwBeV6X0eiwi1VpoEytsMZdZWN9PSPB1mwfNPCobL+BvZGmakxsl/jh43H6Pa3N9HM/ER67WrXyRrQOjDAVgWTvp9FCt4bP88jJeqCiKgwigkPYpW3ix/6nv3sl98toDiVsnqBPDYV1dDpz61hipKV98xnPwtrtJ4PQfqeD66u74FhwT2OAzlme66oaWqj6qZ2FvwmePBeUMvemlb63ac7WQLotIn6qVLuWix/VOCaA5W0s7iORmfF0vhsi6FZiGTMWGR0GIU7jL/jDLQmH6Mj1F1bOXFWI8+uAa7Xju7u6VxUFR9jUTN5m06yJHbiYsI9bs9vFg+nuuZ2GpMVa/scBL67jhMYi98F2KeffnqPfwcGBtK8efPoww8/VPV8XV3dVFfXRN4G2S+coHV1zdTpQd45MS2SJlrnFENq2hfJiw5mD73fQzVmXVZa9md9XZPpVQGj9rm3LhwVNU1u9099S7vt+6b6Zmpv0ieh0d5qed6mlvYer19p/R5qdHfbNTo5nB5aMoJSokNkH197S+roUFUze43qSGOMzpZvK6ZX1hbRFVOzaWRi7xvy8YoG9jUyaKCq86LLOnqqvrHF49/zzxI5KL2vI10dlkVvfWOrqucuq7R8DkiUGXWNq6yxXCcCqNvjazQ1WcZCQs5bWdWg6LrieJ4zGau14lZWWU9drSE9JP3NDc1Ubf38BMbQ0tTKvra2d9r2fWWN9XzwcG3R6/reaj1X+fEOEzG1vP5LEZtRfNLwZHpgiTGz7fnnM9CL644P1xfRm+uP0VXTsmlQVHAP4zNQVtHA1D/OGJcWRdfPzKXRaVGatr/TGtDXI6nh8Dxy7unN1rFo7S29/94btFjfT1uz52v10LhQIjw67edNf8eX13EC5WBfylUj+FWA3dDQwCrVl1xyCQ0ZMsT28/r6ek092M56Ib0FTlBf2p6+RnOrZdECs5Suzm6y2Dj5Nr64z7kDe1Nrp9ttQwWbBwvQind06/M+eDt3a3vPz6bFWjGHjNPddqVHhbIHkPvZ8t5dvHOj9gc38cHC3tlrVDVaArnokEBV2xBoDfwcPzd36gPIkvV+vwEKtsMZjdbzGJJEuX8P9cq7m46zXsSrpuZ4fg3r+w8J8Pwa0tttEyYUBAWwoPjjbSVMzn3KiBSPBk3S8xzKGvRwYh/gZ5CrcwagN9vHrgf+xkDrbQFmTfyz5teWwIHyjzkt13fsZ05LaweFaZCYtrTb3bWVbPsHW4rp/c3FtGhoEl06Ocv9a8i89iplb3kD2/4hSREeq/j8Gh1A9m2QJqxwPkW4eI4JmTHsAbRsf5D12gZfBlfP4+6ezn1N0H+ux+eIhC16us8ck0azVUj37zt5GDW2d9Dg+Ahx3fGzdZzAWPwqwI6MjKQ1a9ZQU1MTPfLII+xnJSUlrA/7qquu8vbmCRSwr6KRjYHKig2lYSn2eeZa4a7RQcI4SBM58eE0MSuGUj2MDIoPD6a1v5rNKnt6muRw8xveH9bL4M+Afif+WlLjHePczZ0nftATDCD1VIOS+d+Q80/NjaMUAySlWkfH8OqeklGEWPA+s+IQS87ICbDx+7wn0xPS4w3HIFq2EaA/uHwf+xkCbKWfDwpZPGBol4wWE/3XxuPs+OTfB5pk1ggVBJIy8InQavapZlwcT0rB1yIrNswQx3w5wNugsrGNXr9kPBV4mBzg7H3ivnP73DyW1OPmnEYyITuWnj67kOLD1amcuDmaXmNE95Q30MqDVTQl1/UMcHcMTZE/rWFbcR0dqW5mEx5grCcQ9Gf8KsAGDz/8MN144410zjnnUFZWFq1cuZImT57MerH7C/9aeYje33SczhufQddIDKD6El/tKqOX1hTReePS9Q2w/cBh3Re4YHwGe8hFbydkVwGabRHsIQiuaGilTcfqKCIkoIfrsztsLrMax7jIGiXlItNdZ5Xcu5I5emJydhwLSkemej6nsEh66qxCMgLb6BiVlsx8EaokwOafbadMd277a3helEufiycv+LGIQ9VT9dqR+xYPY1+TrMkNnhhU81wC5UidpzmQaE/OjmUjr8wCCbdmBNgKxgnqOeOZB0n7Kxtlz9rWe1oET4bLuVa4CvIvnODZCPFoTTOrlCdHBdtGlKkhMSKYPdTC36WSa5s7uKlbuwnVU6gdPt1eylzvRYAt6O/4XYANc7Nly5bRunXrqLKykq644goqLDRmkeirYI4qKl1qq0O+usDRA3sAJhapfRlXxwcPbjzNMt1d3ki//XQnDUuOVBBgd5lQwebvy/m5Oyotmi0Clc6A5kzMjmUPbzM6PZqunZ5DBUnqqhyQliut8kgXrEhgBAYHyJLVynkNVMkQWGCBz49B/tWVa7E7Zub1lHLy5xLVa3PgQSISMWgpQDV5ZFo0/dPqbWIW2N/N7V06VLD5yD11ATaqkjhn3CWmtRzvcpKpPIB3R4fKSj144ocD9P2+SvrtgnzTZ85DJfDqL0XsOPv6xmnsmBuguypK3XrwnY3HCAbrp4xM8WhSapuDLaTQAoH/BdggIiKC5syZQ/0VW5DRh8cC2LLWOicJ9Jp1KZAHqgJP/niQyeXuWWD3RdBt0eWwaIgNC6IJWTFUkBQp6/iSI5XWKrNUJ+F2vqBeMiqVPfo6YzJi2EMtWirYfL+Hk4cAu0O+RBzcNicPobbNjIrLuvW4DtueSyhvTEF6rHR0dntM2BnFM+eMxmQpStPoyMyrv0rfR3JkMEWGBFBDaycLsvPdJMT4NUvvdYdN1SPjWu2qgr27tIH1EeO+4CpI1CuJVdPcTt/uKWdKk6WFabL+5jcf76BjtS3s+z+fPFRX81WeEHZ1T/EE7t+43s4anOA5wOZzsPtwcUcg0Au/DLD7O0bd6MzEqAs1+rCy48IoQYOES0DMLOrfKw/R/IJE+r+FBS4/ktrmdvpubwWle+jVVsqErFhafcesXnLZyTlx7OEJvohChUouiZEhHqs4RlewtYL9gfm+mB+dFede6vrFzlJ6aPk+mpYbRw+cZozzsFqm5MTRc+eNYXOn5YJjhfe0yqmwjM2IYb87XGaLyrnjMlws2JUvllccqGRjldADD5l4dFggXTMtW3EFUqAOJG7OHZtuWr+1K9QqVfRS30CZMTghgjYfr6P9FY1uA+xJWbEsOEyKDPaams1VEvQ3n1gC2BcvGEuF6c4Nb/k1Qas0u6KxjR5Yvo/iwoJkB9i4znDg3aDXOEsQqEABoFUVwKvlIsAWCESA7ZfwG0VfrnbwhaSSAEiuYcf7V07S9Tn7I1gQoA0BlQ05yR69ZYMswz9AB9mcgkXHR1dPJqOZMySRxg9OpADJiB4pVU1trEKqtsryzd4KeuDrvTRncAI9cvpIjxJpLPbUVj48mSeV1LWyRRsM85QSGx5E48KVV8DhCN7Uhffkeb9jpBEeZve9gn+tOER7yhvpybNGsQAbZoHXTs9VvS0CZeD8uvuE/B4/gyP8Y9/vZ07Mfz7Z0iPfV0BCEm1RI9OU+5lAJs4CbA992EjYeUraGW2IeOPMXOY9k+9gsCXH3FEvkzbeUsJVNnKAJJxz2esbWevSX08dTvombbtV3ef5n8n5XIxq7RMI+iKigu2H2Bd2fbfP2HZDFL08PoncAFVLkGEkPOA3InjUApQV+XERbIaos5EeS55fyxZuCPbTY5TLRpVUGIy8jqw+VM164MdlxrBKtFkg6djULi/AVgpkqPWtHVSQHMFMkuwLduWfn1io+h5wlUdC0cx70kdbi6m8oY0lerSYqy0cmsQeasB4LKi+zHDg1nouuDJEtSmW3DyHXoUJfq+TzjH3BPrsOZDiVzRYxjHq206l/F4nvb/Lq2CLHmyBgCMCbD/EHwxxtLoMC8wKUD0F2OqDDE8u4I9+f4A9r7Sa9Mb6o/Ti6iO0eEQK3TlvsMfjS61szlsLfF4VUT2my8V4M7fGSAZcR+yLZnWf/+ZjtbSztIFJaBGky+WxM0Yy2Wu6jJ7WmqZ2wscVHhwoyxTxj1/sogOVTfTMOYU0KTuOBiWE0yNLR6i6DjsmsBrbLBX/iOAAStXYjyuQB0ZD4fqWFBHMzgFv+He8s/E4UzKMSI0y1b1cytlj09lDzmjNo9XNrIqtp4P0qSNTaFJ2LDufjOzjtnvXaLtXcYk5m1bQ2SXr+slnX3Pk+j7IASMJr56Wo6qvWxqUy0mSix5sgcCOCLD9EMysHJ7STvF9uM8YLsN/PLGAUqL07d1ddaiKnvrxII1Ki3LbOyyQman2UFWw98Tpuyht7eyir3eXsx7cP59s/zkkzZCue5Ln2WWH8hI4CLZu/d9Wtnh6/vyxZBTHa5vp3a0lFNTdTac6zE6us87ARh8xAi01BAXKTyzoteDU4/N3ZMWBKnp5rWWMn5IAGy7scrnzw220tbieHl4yguYOSZS9sG6zGpLBcG9Ovue/kxMQYKTc7f/bxqSjr14yXtVzCpRxzkvrmCLh3SsmUm58uKaeerXwgEWr5BatJV1d3RQVGqTb+CdHvthRSq/8cpSNb3SX3FSKElPHb/aUs3vA9Nw45pmhZNSXXmor6efb0tFFkR6eD6/rWF3WawY20DLWT5qQkJNknDEono0oy4wVSUCBQATYfshd83v2jvVFjOrngsPn3vJGZkAi0GGMjYdAzahFqStnVLlO3+hp/cOiAtmVAjhKo2JqdNsF5IF/+3wXk2U6Bti1fAZ2aCCrwqrB7p7uecHeYWDFTquZm5IZ1WqxvYbMY0SJ27Hc5+KBFZ9h25dVSX0N+3iobsPPB6Onadz7xW7WlvGnk4aycUtq6O7upoe/3c/M9+47ZVivgMsXJnQ8u/IQHapqpmfPHd0zwJaRWMRorqrGNs1J/R7jAGXsN8fqNXsOL8nxXY93GyDrngOVgRalgUDgT4gAW9Cv4ONuxEJVG/Zgwn2gxjPzen/efPHbKZlTy7ZH5mik8OAAWlIovzKilwGOfGVA74VZbXOHJnm4UsMgI1tNlGyHu+BXaaXnq11lTGo9b0iixwSe0nGHjrJujKjbcryOLdhhMqXl85E7312gH44JEz5H2NQA29YqpS3A1jIfGjzy7T56e+Nx27/PGpNGE7NjTVG8oB2oprmD4iOCWGLUHa6CfDljGS+emKnL9iIQRZCNa5RcozP0x1c3tzPn+l9/vEPXCva6IzX0/ubjVJAcSVdMyVb0t1Dh/PPsQuqUmLAJBAJ5iABb4JNgnNDW4jq2uJUzdkku9kWSWKhqATfekalRHrPVMOeZPySRuk2aU9th0P41SuquxCSmzlbBVq++kGP2w0mNDqEx6dGUqcJMzRO8L1Gt9BUtAkCp3PWtDcfZdQWmTR4DbIVje/hnyxfVm4/V0Z++3M1GbSkPsHt+PrZElRjTZRq9khw8OatBcqt8G/SRiOudIFxXVNMrwLZJrHWWoD/900H6bEcZ3Tp7EF0yKUuVMSP6uMdnxug29swTD542nEmz5SjlYIj4N6tj+PLd5eyrngF2SX0LLd9TwcwdlYJrn5L1F5IhaKvB7HT4UAgE/RkRYPshV725icobWumhJSNkz3D1NTAS5I4PtlNOXBi9p+NYLV+QsfkDmCX68kXjPP4eKsuhBsjdpPsPVQlHcxVP+xdV71WHqpn0dmZevEcjGrnSc90W9U56BWtatFew06JD6bLJWbLmwJ81Jp09jMBW7VVpYtjari7ADrEmYuRIN1ut1wq5FWy+LY5VZzUBGXrLUWXnAQEP9kVi0DxshoDW4wAJp8K0aEozIOFklNJDr+vXjLx4WwUbPbaXT84yTeWjbA62c2PGRcM8j9s7VNXEPp/UqFBNfctgZl6Cqr9rauu0Bd1Gt1MZwfaSBlaBh8fNSxeKAFvQvxEBth9SWt/KHn1Z1WOUi7g/jDAT9FwoSquxchMoODdgGgW+vnEaxYYN9InEjG0x6aSCnR4dQicPT2aOwmrBaK+bZw0ibwOp56WTMikyRN0tiI/AURpgK3G5VVqRc2yb4MeMmoremIyexm38OigSg+ZhT3ZZjoPzx2ewh5noVcHWev2alhtP955UQPWtnXT+uHSn/bgdBt1blXgbqE1qIeEKUzvw1Q1TKc6DFF1P0OYEjte20IZjtXR6YaquJnF2L4EuVU76P+yrYAH/Ahlj3riSTIxXFQhEgO2X+OrsYXXVA33HKBk5ekjQmx/2VdK3e8uZRFaJG6ycyjiqDFicSPsTMX4JAWhylPsFEv4W6w4+SsUTWqqR6nouey+op+bGs4c/gAr6LbPzTDMgUzOnlb+G3OvoicOSWMV5TEa07m0FZikoBE4CO6s03BtcMy2HqRkyNI7o0uP4OXWk++u3cRVs+RMHeCuFY1KrrL6VOakjsZfsxMRM+tx6bP+KA5UsOMX12pNpGsznbv9gG5uIgXnY8eFB9LtFBT6RpCmqbqYHlu9jLTWyAmwdjR4Fgr6OqGD7IXxh2JcXY4Eax/i4AhUvSNzgxCxQDwycrn9nC1sUvHuFawn/3vIG+nxHGfvc9QywwfIbp7HFg7Rics30HPaQA5IsnR1dsqRzKNig71xP6Z4z+HsxqgKAZEJJfSur+ud66J//61d76KcDVXTjjFxFhnBmcOvsPKpoaqMhCuft8gUgl3+746Rhycw9Hv2EcsBIrjk6mT7tr2ikg5VNbOTi0JRIGpYSSRdNyKShKfrNFxa4Z25+AkuYQBruLfRyZNYz6X6gspHWF9WyZCak4xwYdM0YFEdjHdQX+gWIXR5dzm2tFA6J0BfXHKH3NxfTtbg/TOt9f5Beb/X4jJ77+TCbOvHYGSM9BtjcRTwpMoRNkcCkEySOtcrUOXwdqCbo5clrOSO6lIzvFAj6AyLK8EP4jcioeZdmoHWMjysumpjJHgLtoA0BAba31BRq5cXShUdrh7xjbHxmLJOSGw2kia9fPYVam1t7/V9Leyer3GO71Y7pKmtoozP+8wu7Nqy4babb38U8cVRhjKhGQJIJSSQC/Zz4MMXvB0HnUC1zhWUkMH5/orYqkpYK9hc7y+i/a4vYTGG8Vxx/eAjM43IHx+X7lllGXd00axAtdhih5+ssHJZM1dYKrlZWHqiiJ388yBQb0gB7Si56buO8Oqrs4aUjWFIe876lBHp4Duk1To/CBDcpk+Mizs3HkLBAgI0iPGTZ8ws8V4z1NrZ0xNbmInuSgjHrNoGgLyICbD+DZXH9wMhLL3MXgXfHdNnnaPresWhZDHTq3uevBQSAM/ITqbq6kTocFmcPfrOPPtteSrfMGkSXOjEZkvX8Cs4rI5MjMPNBoA8Q6HPzMaOxV7D1v67AQRcJDCgd0Ouupe/VpmQQ1z+foaqpne1fM+9Jm47W0o7SelZJV+pEL0VP3wUepKPSaga2pJiH6zSSdFCRqJFJS71Z1CYvnW2znAAbiVMgVcrsLm/UPcBWM+pNaWtBkOjBFghsiADbz+A9SH29B1s6xgdJAz1uegL9CHYxh9oRI+f3PvXjASpvaGOyv0xrjyIcTHeW1NM9C4b0qK44w1NVw9dotS7EQhX2HTs7r3CZwLXCnfSPfy68XUNPpNcmvI5Stc2XO8uYrHPW4HhFhkQwqcLM2YxY907QOKYh3QwJGCjbr+GdTcfppTVFrGf2rvn5tGhYEg1OjGD9i1plsTVN7dTc0UlRIYGalRsCeSDwaenoYtVITELo8ELiGi0ar/xSRBdOyNAUYOtJbLilOlzd1N4rGYDE1bDkSIqRMZ5KLnBuhyEixkKqxVNi0ea3oJPqLyTQEizj+JHrHC6dtpEkY8qDXOBJ8sMtM1RV5pV61ogebIHAjrhT+xkIeAqSItiFUe95lGaCheTd8/N17yN/cfURWnmwis4ak9bnZH6+RI8xWViEuhjFZeT83m/3VtDRmha2L3mAjSoi6zGWka1XYv7y80HLQnd0ejTdONNYF+7XVh+m2voWOm1kCoVJPlcY4IBQ6+JNa2CLfuzAgQG6yQOVIA3a1SQ4MBsXLQqvXDxOUYCNnlY5fa0wRTrt+bXs+vPz7bNUuR0PSYpkDzU4HpsvrD7MxiRdMSXL8ONPYOEvy/bQ17vL6a55g+m88Rm2CqCZAbYSgy93oNqM5woPCtCcrOaznR0r2A9+s5f2VzTRP88uVDQ72ROYt+04c9tVQgT3BFyvHA25pAl7M651IQoq2M3W38G++fuSEbTqUBUt1dHzAknUwGB19wx+zMv1kYgLD6LfLsg3ZDSnQNDXEAG2n4EL2+uXTqC+Dm5Q547Tfwbvkeom2nK8jhnYCPSqQHaTK+8vI+f32nrLJKoNJbLc62bksKAVcl5PIJiDsU9EsPGXzD99vJ29p7mDE3oE2DDc0lrBlu4Hd/vN8v/G7TupC7waQxzbthnUetCmYsGNarf0b7XgWHEza0ycwLU5FHcTN3qSgN4VQSjAFj6zin3/5fVTmYO/FhBEgerm9h7qMiMTcnJAwH/vF7vZueMYYHvq444KDWQqAb18a2wBtlV15I5mSQV73pBE9vAV2vkxL3OfRgQH0plj9F+3CQR9ERFgC/oVYqGqD9Kgy93iz8j5vXzRJH39NgVB4cnDU1QcN8YvrqE86Wjr7PW52irYGqoDUkm4p0W70ecKFsLNGLOmxt1W5f6Aq/3mY3WUGRvqduQZTwwpWXAH8Rnb1r/dVlzHWhiGJEXYFBayn8shWDdrTJxAsg8G9kzgdXixgq1mhjFHWrXVI/jlFWw8b2MbXPYDeyZTdVbOoVUDZov43N05cru7Xnnq48bz3jFXv9nTSirYmOYwY1A85enkGO8s8fDEDwfY9/eepMwacnJOLD2ydATzlRAIBMoQAbbAZ1lfVMMW3+MyY3XLLCsJwASuQdUCrQie5Ib/t3AI3Tk3zxDJmDOJt20Oqs6LYDMX11gMoi/PUc7IzXA8Obe7A/sLxz6e21NgC3fvzu5u1q5hBPgskTRQI3+1n8fKPotfjtTQY98fYA7IbgNsFQZvjlXn19cdo+V7yulX8waz3m8tJo82E6Y+3PbTZyvY1iDJG/cOLTOMDXPIDgpg92MEj7Ut7fYAW8NYOnd8v6+C/vj5bpqcHUv/PGe0qpFS6N++ckoWFSSra9lQCiTek7JjKS/B81i9M0ensYdR4Nrx6fZSwm5RGmCnRoeyh1ygaFh7uIYdC1Ny4sT1StCvEQG2n3G4qolu/2Abm/X8/PljqS9z6/tbWQXnk2smK7rIu8PInuD+hpxWBEicpTJnPQl2Ut3hi2E5pix7yhqYzBFGVDhf3OFqvqoRuJr7ygNsLT3Y4NyxGdRNkIe7f577TxlORqLFZI7vc6UBg9w5rXx/KwloHXuweVJGTcAxJj2G/rCogFKsM5iF8sZ87O7LlmMlJy6cBtAAU03mtMww5kjPL70SNKhqYjJEgsT/wKhj1Db6yYOLuE2i7uQ9jsmIYQ9X4NqKSm94cABFu+ubkcnwlCj28AX4/sDHo+d8bVfc8v5Wwp744roplBjpvRnyAoG3EQG2n4GZijB+4gvEvgxuDG2dvSt5WrD1bpo0FkhgHIFOgiWbJF3GIuKxHw7QuiM1dP/iYXTi8GS3v2uk1F3uLNFpg+KZ5Jj3QKrl9rl55AucXpjKKtjRocpuQ1gk8l2udH/IndPKx3hp6cFWW2UHWXFh7NG751xct8zCMdH10JIRXpepq4EfjwisXE17UIoz9Yca1Ycc+IhHT+eslnPk50PV9JuPd9CY9Gh64QJzCxNGT0np6bvRRQFujC0d2V3WQPsrGik3Ppy5kXsC7yPYqm7Qw4tCIOjLiADbz1BTefHtBQ7mFOuXLLDNCBcVbFN49ZciOlbbwoKpYTpn9J3NSs+JC6PokEBWifD497yCKuP4MtLwyxHeDuG4QMHoMX/iBpVu2NL9rbiCLbM3Us11dHBSBF01NZuyrP3WaozS1FTnBL7t4K2Fqblx9PRZhRQfoT6pJp3xbCRGXSPl7gd3I6XQclPW0MpUM878EPReNx2taaYdJfWUFBlC4zJdV87BVW9uZt4QDy4ZwXqx9Ua61lGaqPlubwX9Z/UROmdsuqwAm1/vLAF23y/yCARaEAG2n+FPUkLbjdXqZKlX8BIRbOkhE2jjlve2UlFNMz1w2nCXcrjv91Uy13aMbdE7wL5v8TA2zxn7k/Pv88boLhfmmXkcM2YcN3yRZ9QCpbqpjS2AMN7K3fu58JX1TDr55FmFik26jAQL6EeWjmQSbD5vVvFn6yHAjg8PogUFnudlS8lPjGAPTrsGB/3a5nbaVlLPgqJJ2XFs3je2BQkkgTmgX/ek4ck0ItWcvl1nJEeFsIcWjHD3XnGgkkrqWlkCANcGVGHhNYBrqd6eDXJVJ/ZEQu/3ufqwpUKNMYv/cVKh1rv6vupQNf39m33MEdxTgN3Y1sHmZTvrHTeigm100sTRu0Ag6K+IANvPUCNt9FWUVBjl8tRZhbo9V3+npL6FVadRHfBG9URrr5wSh94bZuSyhxn8aclIqqhupKGSGcqoPGA79TCLu/qtzXSkupmeO2+M28UfqjDcudwIEETCIRgOtUreFxaic1SO2ePHoafkxci0aHrgtGjSgpa2gv2VjXT7/7ZRdlwYvX/lJDp3nDKTNIF25g9JZA/O+f9dx4JVzHnWyxPEDGCKuHhEsq7JwVd+OUobj9bS304dzgJsJCCNOkadKZWckZcYQX9ZPJTCgwI9GhAaXcG2u4h7HtPV0NrBvhplJol9g2sm7iFKZdtqCjZyEyICgb8jAmw/g1dN/CLA1sFBVWAcjqZOfc1UzlkPty8wNS+BqqtDqUNSAYAh22Wvb7QFXGYsWI1Ww9zxwTbaWlzPDJPm5Cf2mbnCrsDniYQTvg5JinRbUZO7nWKR6jsUVTebfq0oq2+lFQerKDI4gBYNc+8T4QokA/588jBdt4tPMuDGi2Zcpz2tA2BU6Wr0Ir//uHoOvR3QQ60BdouMBGVDa6ehATa/5uNerLqCraC6bldg+dZ9VSAwGxFg+xm2G4UfmHjJCeAE3sMWrLiR8Ntno+p/PC7bWUYbjtbSzLx4mjU4gb3Wef9dxxZT/714nEf3ck9VDV8CbudAD0d2Oa68Xd3dkpFnA7y6cHZW8flhXyWFBQf0qDDKoSApkv5x+kiK8WCsBrUAKj9KHHeP1bTQOS+vY6Zt39w0na6dlkNVze00SMV8W8fkYlVTGw2Eg3VooGFSUkFPIHvG549zARVJm3+Hicnrw9VN9MDXe9mMZLUBthHwSQZc4YJr79biOvY5jUrTpvxwFjijB9jTOeuOQA/Xer2TiVyR48nrAddYGNMaHWB/cNVkdt1Q6oCvxvvByCSmQNCXEAG2n4GexKzYUErR2LflC1w0MYPqWjpY1U4v/u/TnVTf0kF3zR9MOfHKF74CZQGq3dVb/0XpxmO19L8txaxflgXYnV3MQR8EyHBldTUOyxn/XVtEm47V0hmj02j2YHXyZLn8vK+Cdh2tocK0KObeyvumQVxYkH6uvG4Wfx2SoNeogEKuXNsROKn/6cvdbMGtNMCODQ+Stf9eWlNEz606zBb2vz4hX9Zzc2O9xrZOFpzNVbht7irY11hl/c+fN4bGeujpFOjDJ9tL6b5le1gC72GJg7ipc7B1cBHn7SUIkvRyEecVbC6Brmxqo+vf2cIC7BW3zSQ9wVpGzjl4vLaFKX2SIoNZi4eSpCJPBOslo7dV+D1IxBtaLPJwEBlizDhLkOBhDKWa2eKuuHRyJtW3dAq/CEG/RwTYfgZ6E9X2J/oap45M1f05UfGsbLSYPAmMVxhokcl6wnHRpNRdGgY0cHwuTPdccdlVWk8rDlTRNCfjafTmxZWHaPnOUvq/hUNsAXZts2UhFhOm/ZJtk4i7WbRL96lRATZ/XmkwLwe+bXJmnauFL4yVBFM8wMYYMVxftPTLO84/NtPFXuCwDxxGDpnZfhVkDfi0qGxWHayiOz/cTsNTIumVi8frsl382IaHQg+lkhePz1+OVNP9X+1lCZHHzhilqC1maEokm3QxJiPakAq/K+qt/dcIyI28nplpkOdKpi8Q9DdEgC3oV3BDK39wWfc2XDbmtoJtG52i/8LLcdHEF8HItsuZKzolJ4495GCXhxq/gOTtHVLpNA/45Iwf8/j8Mir3PSvYRrnbqpMS8nNYjXQdhnwYPQPZ72mjXCfweO+kkiBZum8g+4TiYQANYIt2pcG2o0TcG/Lk/o6tb9ehd9XMQIj3vmrpZzUiyckDSH6eGOFUzsG5WtPczl7DnTLP3TZ4akeBqkVPZRJv5fHUo45DDKO5jG77eGHVYTam7OKJWYoUgeeNS2efy7AU7znpCwR9FRFgC3yWw1VN7MaaERvG+rD0wN5rJSpBWsFiBzdrd33Bb146ni0OIdvTG8cgxMhquZHPLScAtgV8CsdSqelHBN3UzXqHu7q6dZOVup4SYLyzLaeupZ3Jy3H+uw2wrQkNblYkB3xO4UEBLLhGIP+bj3ey7z+4apLiMWc8eQB5LwIMM48/gaPCost2jOKQNbMHXroNarGdLzq6iIdaJdC2CraBiWtMGzjxX6vZ92vunOXyemTfht7/jzai88dnMLM4s+6NfzixwGNfdUZMGD1+Zs9quxF8vbucDlQ20cKhSYoC7DEZMTRGoTn8wcomphLE62gdMScQ9GVEgO1nvL/5OL2/uZhdSK+Ykk19mSd+OEA/Haii3y0cQqePTtPlOY1cCPQ37lkwxOPvJEYad4N1rGArTZ5UNLTS8bpW1svrqR/fTImusznYmJOqV48gZO7JkUiOuH7PmJH9zuUTyRT5q8J2DXcLafmqi27WJ+1K6aCmgs2r2Aiq0Yet5VoTHhzI5goj0O7uth9/RihBBJ5k+t1wPKPcePNnkNuvceor2Ho7ZIMThyXT8JQoyrTOiTfy+ig9f/A5hLgwzOSqG2cKg/jwYHY+uTNORCILyWI91gZRoYG0xE0Cz58nsjyz4iB9v6+SfnNCPp09Nt3w1xMIfBURYPsZGOuxt7yRxmX0fSMcu4RUn5sCFtS2sVFiodrncaz0Kg1oPt9RRk/9dJBOHZlC95401O3v2qXuxidmnPUmw0UYUr28RO3GfOeO841Fz4TMGFbFzk+KUPR3WozzpBXgNjeLdZ7QUFLBtsnEG2F01qHJhR2JFFTcpNvquP0CY5Em8JAofPeKSV7YBu2OzEaoH6BukbrjG5m47hlgd7lMMnJDLjXn20Pf7KMvd5bR7XPy6KKJmWQWCOqNUgjpMTEDfe0YIwbDTbnJcr5/hIu4oL8jAmw/w5969fgCp8N649SK1IlVLFSNB5/349/vZ8fi9TNydXNoddVXB+dwOOij+irv7+UvOtoNHlnlqYIN93I8/AlItN3JtI3wUZAegzBmcnVM8t5JLoWVC4ySUA2Llbi9a70WYxEO4zQgrlvmwT9rLQ7eWsFxBAdzLceQGWsCI3uwpclwd9dq2/t0knjDOVTR0MaC8PTo0F7KFW7SpmQclSdWHqhiEnpMuHB1nfnP6iP06i9FdO64DLp51iAyCrUjEZ9ZcYi2FdfTI0tH0pz8EJ+rlgsEvowIsP2Mdj+cg63XhdoiLxvIbqZilqx2sDD4YmcZC5IukFTbOPic3954nH1/3fQc0pvTRqbQ3PwE1vcKUAn931WTDTm+Og0cNyYnwNYTOFwjgMT7d2Watre8gX736S5KiwmhJ84sJF9iWEoU3b94GJNhKkV63rv7fEelRbHPJzXKIoGVyyWTsthXBNkctYHN5mO1rJKObVk6KpVtr9KAX6AtuMX1RS//DzXgfqVl3FvPCrZ+awJcP37cX0nVTe103vgM1m9708xcigvXPkbQkYHWefS4Bru7Vne4aaPANe+U59aw73+8dUYv3xAjZPR3f7ydbe8n10ym1Gjn15GapnbmNG503lbtSET7HGz5G2irYItJLYJ+jgiw/Qz7jaLvL8T4e9Ar0EAwwWd0Qi4u0EZVUztrRyivb3X6/0Y770aGBLKHGbK51y4ZzxZ4Jqj56PSxGZQfF0aZMfZFmbt+YaU8+cMBemfTcbpqajZTFjijsbWTDlY1UaeB5wkWYDATw+I5IjhQkYHQicOTVb0mPkMsALHgdndduWGmtmqS0pFxzrjl/a1s8Q2TtN+fWKBpewTKgS/Dw0tHsu93lzXQHz/fRRkxofSowwgoXwcGe0gUoGdaL1DV/91nu9j3SwtT2WtcbqDnSxAPsN2o2eYPSWSGqPmJES4NFfm56Rhg23vI9btP4TXaOztsfg7OqG5uZ19jZaquvDUSUUliWY+2BoHAHxABtp9hkzr5k0TcgAu1XsFKf8ZxVq8jfNFitvOuUQoJBIJmMDwtmlJDA6hDUgG47p0ttK24jv56ynA2v1sLcqTxfCFr5H57ee0Ren7VETprTJoswzy9wLURATYeegOXclT1uLsyPj+1PZbYTgTYQmrpfdBTDxdmSI3N5oudpewYWDQ0SdVsdVwvtF4zHIkIDrAlqiqb2pgbttGqHqg52jtcf/4j06LZw9W1G2ch/trZ+cTXTXq2McG/oU4ykcBdgB0naSkxAn4dVzsSUUmSUG21XCDwN0SA7WfYzHB07nf1B5Mzgb7wrLarHkWbGZVByZ595Y306fZSSo0OYYZQaw5XM+f5EalR9PtFBfIDbJ16/I0EkkwsDPUw55OTWNAyCsvoqsqhqiYW7GREh9JQFfNZeTXYlfQXagFUy9SoLtCziCkOF03IpLvn52tSyvDXb+3oZJJzfF56+xgIPMPGpHV4z9vkz1/uYcfjtNw4VQG2ESBBjSAbATZG0mEsE+YsQ1af5kIOrYWThyez13LV0iJne3HtxFrCWWLRiD51vq8wVcAVkIibEWAjgQkX9RiFr6PmPmBTHgqJuKCfIwJsPyMyJIAtHPG1rzM1N469j0IXWWmllNS10IPL91FsWCD96eRhujxnf8ZxTJYj/AZrVBX0WG0zvb7+KHM4RYCNeamQrGPslhy4bLDNTVWE86cvdrFF2G1z8phE2UgOVzbSz7tK2ezW8Zmx7Ge82qpHgCWnwmBE36ZeUsIf9lXS0zLd311JSd2BStnsJ1eyAOLL66cqCmq4H4Aebu38sz9S3UyXvLaRPfcPt87Q9JwCZRM5lrywllU+H146gv3MG0ocLo9WWxE0yqkawS7ahNBOsvFoBT387T46oSCRHjzN8lnpyV3z8z3+DmT8CFhz4sOc9jzjetPWaUlUOsI/2xAdA2x+LWhuc73fqpra2NdYA3rXpSSo9BFQMxJxSo4lETRMRfJTIPAnRIDtZ/zfwgKiheQX4EKNh15g3MTKg1UscBEYrzCwO28PNMUZVekordyEcLp2eg6lRXsOmDHXE7ONXfUs68mKfRX0u092sr5JHmDbx0YFmFI5NmMsGU9wKJVAGyHnlFJjlW1ican0NXiFrandbnKmdT/huLP82/faLPwZfN7c3NCbrVc4Dpg8WqWS6+/f7KMPthTTddNz6cqp+vVJR1h9ExrbO22TPrzZCvTymiO0fE8F3TVvMDNec34+2efTS5mZF89GISZG6tcLHRbsvoKNxAeSwmZUsNViH2sq/7gfmxnDHgJBf0cE2IJ+g5GzOvsjnnrk7cYxxiy6bCZl1sWdUoO/3PhwumaaPHdzo9+LJ3M/tWOj1Erj7eY2BlawrcGr0tmsLRoDbMx2rWpsp3GZMZTsRI3AF70xoUGKvRp4gF1a30rri2ooMjhQlYxdeqxBgmv5t7humYn08+ZBkjeSHPbrrLoAG8kBxEl6n8q2ZFJbp64KG2fg+odrEozDXJ0HNjmzi21w9zneqNHU0BlQwICmtg6X+2XaoHjm2SAd62cEUP1sOFpDk7JjaWZeguy/u2v+YOYD4U0nfYGgryICbIHPgoUu+rpwU4VLqVbMDJL6A3DwTooMpggXTt55CRH0/pWTDHNs5z3gjhVsvfcvtt+MnuTeY7rsn1urnhVsGdJ4LJRR2dezouNqO5T2wGudlPDvlYdp8/E6eui04TQ/KqnX/9c2WxbEMWGBqhfVm4/V0fUHt1BOXBi9d+UkVdvJ3589wBbXLa8F2NZ9YKSiw9N2qJWI284XnYNfaQDJE4CO7tx6cfVbm5kE/MmzRtG03Hinv8OvI66SgicPT2HbGq3ivFbD2WPTmQppbIbzai5k1I+Z5EiP4PqN9ceYwkBJgI3PTM267VhtCzsWBiWEK/57gcBfEAG2n3HvF7voaE0L3TE3j0bp1LvsLZbtKqOHv91PCwoS6QEd+rrMDJL6A4tHpLCHuyAN81HN6gHnX+XKFLEoxLnCZ2i7AocND0WNrOhyeBWo3RpUI8DXs4KNyv1Jw5NpVKrrsT0nFCSxh5HwAFKp9BWmX1qqZXy0W4M1aHLmGM1+T8HoME44l81an1tLUHPeuAwmV+fVLXHdMhfHhAa8FxK80F7kyevCW/e9yydn0emFaTQ0OYIFbyBEhwSg24kVbpKCNoNXF+/zltmuq9Q455G81HNSxIxBzhMBfWFihhbQhnfvF7tpak4cPXV2oeGvJxD4KiLA9jOQ5d1f0WTLuPdl9HYR95ThFvQtHBcNSiubh6ub6eJXN7Aq/OfXTXX5e9KFrRnu/PYKtuV1Ie+ElBBBth4Voim5cezhbdJjQunEYUk02MncWiN7sHnljQfBjkASCdR81vy5OVp6dk8ZaUlerT1czb6KCra5wBgMARf6sOfmJ9K543r39ZqBzTPBxbQGT9ivi/re98ZIKrN8FFWYDglAZ/B7Nu/11mukFE9gznvqZ5ZE/eL6qX4phw5WkaTBcb/qUBVTik3IjpWduBZzsAUCCyLA9jOMNgDqS5l7R9r9aIRZX+BAZSN9saOMMmJC6fTRaQYG2PZjHm6pUXJdxG1VEffHl/T4MyM5ExwQ0ON4xSLfLCmhmRSmR7OHUrhcXm3wGmGdsNDY6rw3slmDWgCtLJjrvb+ikTYdq9PlWmO0WaDAs4O3N0f53Tp7ELW0d6mW29pbo4w7fnhSyqgxYnIqsJ5GbaFKjWtHRHBgj/URfsafVc8EAaaWHKxqoviwYKc+DJ9sK2HO63PyE+m+xcN8roKN6+AdH2xn36+4babsAFvMwRYILIgA288wYp6jt7BJSFVm7l1muEUFWxe2Hq+jx74/QFlxofRnJ2PPDlU108tri2hsRrQhATYC97cum2BbLF04IZM99JrjzeGLEiwv9JQQyq1g6w3vKYeLrasFMVyHP9xaQicMSaRLJ2eRL4Hexsk5cTRaRXAOIqwyblcqn6TIEDYiUM2YGbREYObs5ztKLQG2hqohFuhlDW0sAbRwaBKr+AvMBccBrg/8WuENlPTMmrkmOFTZRDtK65l0ft6QRHZ8YmSiEcipinryWLn1/W205Xgd/X3JCLa9HCQvOHp4XHC+3l1OT/54kBaPSHZ6f6xv7WCJiS6d1jfu4MGxkkSR1AxOiSrAdv8Sc7AF/RwRYPsZtnEiflCltY1h0ulCPb8giVbfkcgCC4F2EKBsLa6zyQMd4fvNKGMgHONK5cVOK9geAlmMdVt520z2e0pdpdWQlxRBf148jCId5MZ6seJAFd354XYamRpFL180zunvwAV7R0k9+x2jQKCP6iACGCWVrwlZseyhFk8S8Tn5CeyhBT3GOiE59f7mYrp2Wg797dThmrZHoI6Hl45kX/+3pZhVHOFLcPFE+Uk8XwDnMOY7J+tsWIhe28d/OMDaPO4/ZbjH+fJGTqwAl07KosrGNsqJD1ekiOP3LyTD9Eyg2k3gXHg9tHb28ITwNb8Lfl/EZ6JkjrqzKRgCQX9EBNh+hlaHXV/C7jKsX0CMm0UAq0UKtBIU6F7Cz7Plevf+GSGbQ7DnKnjGz4MD8TDnnEqMDKElhanUYQ3S9lU00uWvb6TUqBDVjtRKEwtmOO5vLa6nq97cRJmxofTBVZPJLLjrPTcz05u6lnbaU96ouVUnwlppbzBoOwXK1ATbio1NOLli87FaKm9ooxGpUapUDLfNyTNku6RjunzBjwXGjXKew1GxZJS83dHw0BF+XkdaW1Z8rd1OrWeNPcAWhQxB/0YE2H4Gv4D6alCjLusqMqG+CJdNurqR2qSJBskrUSV8ee0RFiBfNz2HVfxWHaqmc8ame1xsOSahmAzUR8+Z1nbLnFm9KgK2haabBZAZjvtye+CdjZzB3wxPiaIYFfNjp+TE0p9OGkpZBjncI2mA9gjIixcN83wcuoIvvOtbOlil34z2BIFzuHu1NxLXL645Qj8frKY/nlhA6TGp5CvYKrTtnUwujrw1koBG9GGPSY9mc7y1nLP28YTOK9ihOidQPSUgGqweEGZUsKG8GJcZS1EKgnm1njU8qci9MgSC/ooIsP0IVOGQNQ3s6PILiXhGbChdOimT9XjpwYoDlfTZ9jIalxlD545L1+U5+zOeZHt2V1djjkXc/p9fdYR9f9nkLDpU1cR67E4okCdVlAbUWEy4Whceq21ms5Pjw4Pp9rnGVIOkwC38x30V1NbeRXOHJFKLjjOwe1Tu3fTjGeU8rKYH3pGHlu+jA5VN9M+zC1kvtlIwnx0PV9y3bDct311BN83KVeUcHRcWRIeomZaOSu3R66k2gPlkeyl76DWuUCCfK97YSHvLGykr1hLYeSMJp7cXiREB5F0fbWdTGZ47bwy7v+rNeeMz6Dxyfy5uPFrLeo0LkiOdKkfs171uF6aGOlewg+wJCGc0WCXiESrGASoFiUilyUilYy85iZHBdNXUbIoyIXEgEPgy4gzwIyBl/frGaeQvwJH3ltn6BTSoKi3fU84WSSLANt6Z1G6uY8yiFMEfnhmvgiDU0xxUZ9t/0YRM5hzrbg1R3dROX+wso/ToEFMC7Nrmdrrt/W2Ej231nbNtJjx6zMCWWznuMLOCrbAyzysjRjkWY+FrWRQP0CQN1SqdjXBYeIsKtvngHMHxBkMqI+c8uyNwoDYvkjP+s5ZdwxD8IvjUO8CGBBpJQT2vUWq47X9bmdz7g6smsbWDXJl0dEgQLShIooSIIC9VsM0/puSgVsWERPT1M3IN2iqBoO8gAmxBP5TP9/3qvi/gydnV6M8bCSUs6LCowgJP6Yg6BCxyAmYz5NJS+OeFl4U0WG8Jo5zKMd+nxgbYyo13pBUntSN1ILneeKyWJVWcOTRrfX5eeV5XVEPTB8Wxnnotz8MR1y3z4UowHDPeCiBtgaHKCjbMtBAED9S5xSAiyN5jzK/1YQYlILghYreLaxL+356IDFB0vclPiqAHTtPfRNBTgA2DTiSG9VLoueNwVRNLEiP4lVtcwHbdPT9fd+m8QNBfEAG2wGfBDbW4roUt9t1JOhVLnny017avgQoyggDHQICztDCVpufGU2SocRl6yKZZgI1Kk2Qetp6YEWxKkbZ34JjlC0e9qmf2So7rBTsCiZjQQAo3MKDg8nOlHgu2hbTKz+NobTP96sPtzFX5s+t6B9i8GhemskLOF9ZY0KbFhNINKqs5fF43xx9GL/Y1eN8ul/kapZow0ovEKONTWwW7tcMW/IcZNPng6Z8O0Su/FNGFEzLojrmDe/0/1Ev8auYqIEQfNwLxPJXzxJWSGBFMd8zNo0gXEvA75/V+H0aBddR/Vh+hIUkRsgPshAj5wbgUTGk5UtXM7sf5iRFCeSPot4gA24/AiIr/+3Qnu/E9dsYo6uvUtrTTGf/5hX2/5s5ZikZFuDXtEAtVXUiNDqXvb5nh8v+RLcfDSFhFqdliBKZmNFJZfStzc02LDnUZUNnl0gNMD7CxOG7lFWydgl2Y6swZnNArgJPyfwsL2MNI+Pg2rM3lmnixSlWHtgozr7Lx3nZHuKuw1gAbYDySWkalRdNZY9JYYP3WhmM+a8Lnz0hHDKKnNMILATZPCKsNsI0yPkWv7Z9PHsoCqj9/ucfmP2AEnpKCPCnmLsA+fXQaezj7fLC20LsFA9fZCyf4xkg3T47meoK53ue8vI59/81N0yg61JhjQiDwdUSA7UdAirThaK3LimJfQ1qhQvCktXpgr0SKhaq/wI8R1oOtYgb8Te9tYb35z5472uVsZfvIKnMqiDCV4b3lqMygkjA+M8blfFel4PkeOd0y39ebYCE8e3ACOx+xSJczPg+fB1fKqr0e8ESFdFGu5/gc6fVXy7UGAf49C4bQEz8csD6XqGCbDU/W/eHEAloyyjsO3mpmGEsTUtybQpos0AMcn4tHpDD5MT/ujTJX9TRmiifLcO1U+j5RGX925WE2feLXJ+ST0dQ2tTPX9dCAAarbR8wYqVZa30pHqpsoKTKEchXceyxzsy2JU+EkLujPiADbj+ASWX9ZiEmlvi06BNgdBi00BM5ZeaCK9pQ30LiMGBprgLNsz2Cpix0vWOQpkYjzKiWXHftCYsYyd3ugZTRXRxfNyU9kD38D5/M/FAb6PSpVqgNsy98h8HBWObe5+6p0wUXlmaNHu4I/jV7sa6iZH6w3C4cmsT5hyHuVIq1YRhqUeK9pbmdfYw2qXsuRycsxWcO5jmv5AIdrR32LMWO6wPbiOmaQNzo9hgW5e8sb6KL/rrclS2blxdOjJqgNbSPVrMlDOfy0v5Ie+mYfzc1PoIeXjlR0/8J1D0ogEWAL+jN+GWB3dHTQTz/9RKWlpTRy5EgqLCyk/oC/LcSw8MUCBzcjdgPVeAPnY4n85fPxBX7/2U4qqWule53MFf5yVxl9ubOMbp09yLAA+48nDWWSNIx0eyFvrOK/5wstbmzlDG4GZtQ8b1cLIixOuNOsEaBqPMC6IHLkweV72diz66bnGjJ2Ry1YuN2zIJ99NkrHx3CkC2nsd8c5tIVpUSxoiA1Vd3ucPiieLZx/OlCluR1l9aEqenvjcfZ9rkm9owI7eYkRVNfSQQkGt7q4ozA9mj3UgG3n540R/ePrjtSwufRnjk6jtGjjqrE8Ke5SIi5jlOGLq4/Qc6sOs7YLKEM4/BobpfJ8d8edH26nqqZ2ev2S8czBfdvxevYesASBbHuSijGDWkaGIamI8Zlyigw8OaMm0YjrHgJspRMiBAJ/wu8C7Pr6err00kupq6uLCgoK6JFHHqHzzjuP7r77bvJ31EhkfR3cMNs7O1z2SyoBjpi3zs5TvTAX9GZbcT0dq22hqqa2XgF2zf+3dyfQUVX3H8B/SQjZDJCwhX0HWcJO2ARkCaiAWBFURBFkExT/FirWWim1tFZFRRA5VWsFXBBUSAGLFFEUZNFQVkFBCMi+hATEEJLM/3wvucPMZCYzybyZeTP5fs7Jmcx7s9/37rvr7172fc8Ggqh4Q8/jLa6CjR4kVJr8edRM6dVQDe+s5oMhhGiI6/HqRtWjs/6RbkUqmPD9qUuy9+RF6/JEvoTvKS4q+o5QSRjaxrs17FHZsF3ezfEnNqJHSR9P3ubFKJxDSt1Kcmvz6l5/LioZHaAOQfE+/N9xeSq1idMloMysc71KHp1bpfH85wfk0LnLMn9YsnSq67vKop777io/wrQXNOQWN3rP1Vx2/ZrO8kEjGkpxDuvKauavuep2YMskNe3AX2ynreCzVIzxpIKdV+qRD3rkDnuwqSwLuQr2/PnzJTw8XJYsWSLly5eX3bt3y/Dhw2XAgAHSunVrCWX+jnbsD8ioL14xJqPG7xJKv40Z6ELJJSdzuzILhw76OtCZN/QQcR3YyhkcM5U8KJAYaUjrGpJXeMxPW75Hdp3Ilul9G0ufplW9fm00MKFyXdyQS3+Nhun32ibJysmTj8d0KtJA4yuOy7sZDSMe2tSqqAIneduDnRAbaXcuUWBs/zlLVcSKW9rOV7JzrqqGTLxz9waJJXpuzYrRMu8u35V7ENTsEI7PwoYgX0FANTj7S67z/XHl5f5OdTxcVtI+DbN1D7YPKtj4XEcv5MiZS1fU/fO/XLU7r/0FPdbIy/Hdr1WwIz1a3g3ivKhg604forIo5CrYq1atknHjxqnKNbRq1Uratm0rq1evLgMV7NCLku0uIBEFlg4EhaVaXM7N82FhYuOh87Lv1EXpULuSWoYEZt7WzONKvR42aebj69zlXNULYlSUW1QwUclGZcHVkMvrkdP9k5fo6Rvu4Jj64fQlVUBsVu2GUr/ftN6NBZ16vhhdcSknTz7de0r9vqUd2qslxUer22MXclRPv696Isk1/O66lzMQawL/dPayPPbxbqldKVq6P5QiZqIrimgA6Nu0qs+WZKpVMVq61k+QBl5Mk9CNhRgi7Xi++mqIePUK0SLHslXAMH9dE1154562quJbtbCxwp1fCq+JcS6WGSuOHrnDHmwqy0Kqgn3hwgU177pRI/v1BRs0aCD79++XYJZXUKACVPyam1/kAqHX68RcVGSgRq8DHEiDWlZXQUgwBAyVIFf9B46BS5w9dtn/jqt5pYgGix4m8p5e4xMVQNu5Xegh1YUKXy3dAl/8eFaW7zopD3WxyJaMTJXmJelkiik8V/Q6t2hxzy8csqxtzciUTYcypW3tCn4bpns8K0f2nbyo1qLOKiyUGbncCRrh8gryVe9NhehyRc4dfwVM1K9/MSfPOqw6ppjzeMexLJm2Yq80rRon7z7QodTve3tyUuGSXwV20wP2nbok//fxbmlUJVb+OaJdqV4bhecV4zqLEepUirYen29vOSpjutQ15HXJM1//dE5mfHq97FDapdu8oStj6CW2PVZxzbfNb13Nd0Vjmq/OY91A9X76MelcL0G6NyxZD7unsILCq0OTXV7bMUXpzMVcqRYfpXrtndG/AUbM4DWQ5yEPOFPYK+6LHuyk+GvzT36+kKNiXtRLjJGU+olS10+jdWy1SIq3HifI+90dK7rhoTSrKQxumaRG3VQv/P5EZVFIVbCzsrLUbXx8vN123Nf7SqOcCSqs6344K9M+2e1y/4xbm6k1Hjc3834IqZlMuKmB9f+hb26Vn85dWxLEUVKFKPn04a7W+xPf2y57Tlx0+tiU+gnSwQRp6k5E4YVO35pRhZhrWcjs9QelfGS4DG9XS93/5uA562Oqxkf57BzSy4/o3mvA+s6evl/nBokSFRmhgrDhOS+uPyBL0q8FlXKEzsPByUXXUTWSTuuVe07J619h8OV1CXGRhv2OKjryVZF73/lOFfqW21QIxyz8TlXwIaa8579laeiejrEf7FC3ibGRss5mbfUpS3ao4bmOjPhcqKz0fHWj032oePsr3y/uPLf9DGcv55riWlSWIO/SgcIgPsa4c9DT/B2fATC01/Z4faJfY7m3cJ3lHUcvyNj3/ufyNR5IqSOP97bveDCC7bzl5jXi/XJ83v3mVmv+5AjL/s25y3lQ27Z1rjWqbztyQTXSLbinjVzJy1fLc635/rTcmHSD4Z+/ZmED2cc7T8jornVlYo+GUqFCjGRn/yr5AQgAtvdYloxavN3l/odvqi/jC+MOVIkvX+pjfhQbAoOqHEe+EVIVbAQ2A8zBtuXNsLrw8DBJSPAukJIRYmOzi90fFxtlis/pS8VlUBHh4Xbf31WUTAwt7daselD9Vrggm1W/VjVUpHAMNY61OQarVPpV3XZvXFlqVvdumGxx+rSsIct2nLDO9Wpft5LUrl5RnbeeGNYlTobZ3I+KinRZIe3dMslvx03flknyzpYj1nVLG1WNk+QGVQyLBNyneXX5ZPsxp+eOPs/qJMZIm4ZVSr1clSf6Nq8uizZnuMxvI11EBe7bwvu0iC5mTdhUP6a1u/N8ampT+efGQzKxT5OgyrdCQecKMdKiRgXZeyJbujWqLNWq3GD4MH13+XulShZJaZAoWw+dt9seG1PeejzEZzqvcOq8q2OjKj45dga3ry2f7DwhE3o1kmZ1fdN77chV3o7NyDddfc+UhDi5LTlJVu86KZGREdbHPTm4pUwf1MIn0y/6JdeUeRsOqUaaihVirWkdqGt6/EXnc9i1GJtjatzNjVXHTo/m+E25gkEol+PIN8IsOoRrCDh37px069ZNFi1aJCkp1+cqPfPMM3L48GFZuHBhiV8TrYxobQw0S5hITGy0ZF903vKJi2g5Py4jFAglGSKOlmlnQ4WD6XdCRSeQrd2e0sOqbYeX6aFomLPo63mjCMilgw95+362r+WvYZau0jwn93pQJUz7QNAsI+nhpq6mV/jiPT05r2PcnMcoSEcVsxyPp/QQcUdGvb6R5znnXweOPk6MzstKkr87O1ad5bfO+Drv8vex6aocEIGggh70tCLf8+c5jul9aIBGfooGw0Be04s7ThyPFQxpx1+wlJfMKljKceQZpKWnoxFCqge7cuXKUqlSJcnIyLCrYON+kybX1z0sKR3NN5AwRAfDInNUcCInF7OCaxl5KCvn5iJum04REqbWmgyF3wmZshmOQVeQ1aiKmMU+DSLDwiRfBcvybRteWOF7gbfvZ/tadhy+mz/SPMxy/bMU5FukwODf0fZ72n63cj58T0/Oa0/OY6PSwmlaByjPd3+eh0xbeNDxZV7maf5e5Fh1kt865Ze8y2KKckBJfkd/nuN4T+Sn+WEFAb+muzxOXBwrwVZeMiuzl+PIeCHXNNWnTx8VSVwPFz969Kikp6dLv379Av3RiIiIiIiIKISFVA82PProo2rd64ceekjatGkjy5cvl/79+0vXrtcDYBEREREREREZLeQq2DVr1pS0tDRZsWKFZGZmylNPPSWpqamB/lhEREREREQU4kKugg2JiYkyevToQH8MIiIiIiIiKkNCbg42ERERERERUSCwgk1ERERERERkAFawiYiIiIiIiAzACjYRERERERGRAVjBJiIiIiIiIjIAK9hEREREREREBmAFm4iIiIiIiMgArGATERERERERGYAVbCIiIiIiIiIDhFksFgt/Sdfw8xQUmOMniogIl/z8gkB/DPIjpnnZwzQve5jmZRPTvexhmpc9TPPQER4eJmFhYR49lhVsIiIiIiIiIgNwiDgRERERERGRAVjBJiIiIiIiIjIAK9hEREREREREBmAFm4iIiIiIiMgArGATERERERERGYAVbCIiIiIiIiIDsIJNREREREREZABWsImIiIiIiIgMwAo2ERERERERkQFYwSYiIiIiIiIyACvYRERERERERAZgBZuIiIiIiIjIAOWMeBHyraNHj8r27dslLi5ObrrpJomKiuJPHuROnDghO3fulIKCAmndurXUqlXLuu/kyZOyfv36Is8ZMmSIxMbGqv8zMzNly5Ytkp+fL926dZOEhAS/fn4qmatXr8qyZcuKbMf5XKdOHfV/bm6ubNq0SS5cuCDt27eXunXr2j3W3X4yl/fff9/p9nLlysmwYcPU/6tWrZLs7Gy7/S1atJA2bdpY72/btk1+/vlnady4sSQnJ/v4U5M3li9fLrfccotER0fbbd+3b5/6q169unTu3FnCw8MN3U+Bs2HDBnVu1qxZ0277wYMH5fvvv5eYmBhp166dJCYmWvft379f0tPT7R5fvnx5GTp0qPX+8ePH5bvvvlPP7969u7olc9i7d6/k5eWpspt29uxZWbt2bZHHDhw4UCpUqKD+R17/zTffqGs5ym2VK1e2e6y7/RRcwiwWiyXQH4JcQ6H8r3/9qyqIHz58WH799VdZtGiRJCUl8WcLUu+884688sorKgMNCwuTr7/+WqZOnSr333+/2r906VJ56aWXJDU11e5506ZNUxk1GlvGjx+vMndk8sjsX3/9denYsWOAvhG588MPP8jgwYPl7rvvttt+zz33qArVmTNnVPqjAQUFNRwT06dPl3vvvVc9zt1+Mp9nnnmmyLZ///vfqmFkxYoVqnENDSXI220L3z179pR+/fqpQtbkyZPlp59+UhVrFLwGDBggf/7zn/38TcgTixcvlmeffVadm1WrVrVuf+GFF9R1HPn9jh07pEaNGvLmm29aK0ze7qfAQePX6NGjZe7cudK7d2/r9pkzZ8rKlSulR48eqjF8165dMnv2bOnVq5faP2vWLPnqq68kJSXF+hyk5+9//3v1f1pamsyYMUPlDWhcy8rKkoULF0rt2rUD8C3JFjpAcB2/44475PHHH7duR2Ppn/70J7n11lvtHj9lyhSpUqWKamx58MEHpXnz5hIREaHKcThu0HgC7vZTEEIFm8zp9OnTllatWlnWrl2r7l+9etUyevRoy2OPPRboj0aldOTIEUvz5s0tGzZssG5bs2aNpUWLFpaMjAx1/y9/+Ytl8uTJTp+fn59v6d+/v+Xll1+2bvv73/9uSU1NtRQUFDBdTGrlypWW7t27u9z/29/+1jJmzBiVvvqYaNmypeXkyZMe7SfzW7ZsmaVt27aWgwcPqvuHDx+2NG3a1GUavv3225bevXtbsrOz1X08r3Xr1pYvvvjCr5+biofr8ty5cy3NmjVT6YnrtrZt2zZ1nh44cEDdz8rKUvn3vHnzDNlPgZOWlqbOZ6T5559/bt2O8zM5OVmd3xqOj5SUFMuVK1fU/VGjRlleeeUVp697/vx59bqrVq1S9/Py8iwTJkywTJw40effiYq3Y8cOlScjzV966SW7fbiP8rkrQ4YMscyaNcvumOjZs6clNzfXo/0UfDjOyMQ+++wzqVixourN0EMLR44cKevWrVM92RR8MLwXrZ9omdaQvujJRu8E/Pjjj9KoUSOnz9+9e7cayWDbc4lWz4yMDNVKTubtwcYwQmfQU4lzffjw4dahn/3791e9YGvWrHG7n4LjvH/uuefk4YcfloYNG1rP8/j4eDXs1xn0gGF4IR4DeB56t9FTQuaB/HfJkiXyyCOPOE3DTp06WfNzjEC68847rWno7X4KDJzLf/zjH+16MDWMKps4caLUq1fPug29msgDMBpFn/uurgco32G4uO4JRW8mRi9hKPrFixd99p2oeKtXr1Yjzvr06SNNmjQpsr+4ctuBAwdUDzWer40aNUpOnz4t3377rdv9FJxYwTYxzLlyPGFxHwVunVFTcMFQTwz9QoVawxAwzNHV83SQUWNe7pdffqmGlB46dMj6WGTCN9xwg12hvFq1aqoQjn1kTkhTVJBwscQ8Tcy/13Au45x2LHDh8UhTd/vJ/DCFA+coKmO2jS7Iz3GLIeMYAo58oLj8n2luPnfddZdq6OrSpYvH13Cc01euXPF6PwUGpmOh0dNxyg/07dtXJk2aZLdNX8PRYYIh45iviwZSvMann34qp06dsj4Wad6gQQO7MgLSHBV3XEcoMFDm+uSTT+Tpp59WjR6OkDZoVMHQfwzxxxx8DdfpyMhIqV+/vnUbrgc4BpDe7vZTcGIF28Qw7wYZsi3dm4F9FBrmzJmjMmbMsdMX3xdffFFVxNBTgbm7eIyrY0IfFzwmzAsX348//lj+8Y9/yBdffCFjxoxRvZmoUOl00w0sjmnqbj+ZG3qdPvzwQ3nggQdUz5TtMYH4CZirjXm7mH+JyhoK27/88os6Npzl/0xzc8FcTB180hF6LR3TEA2kCH2DgEbe7qfAwKgzNGx7Aufx/Pnz1fxrzJ9Hgxo8+eST8t///lfee+89FVsB13twlebAcz9wOnToIM2aNXO6DyNK0VHy6quvqngJ//nPf1RQWox00OmGIMWOwQmRnyO93e2n4MQo4iaGCNEYFm5Lt2oyNl1oQLAaRAxH4Dq0YKJgjWFCI0aMsGbm6MlGUDMERMExYduyrWEbjwlzQrpgSgD+0LuhVwZAwfytt96yRox2vLjiPp6LYFjF7SdzQ8EZ6aQjh2sIZoMgZzq4oT73ESjrb3/7m9rGNA9uOHcd82udpvrc9mY/mRvSCEPJUUlasGCB2obrPKb6YRi5Dob3xhtvqIY2XOOZ5sHZiIr8HX96pQes8oJh3pjigXKbs8j/epu7/RScWME2MfRYoTfTFgphtj3ZFLxQqcZFF72aLVu2VNsQJRQRSG2h5RuRh7FEE6LHX758uchr4bjQrdxkLiggY1qALUwBQNTZjRs3WufjI11tl+VAmqInQ5/rrvaTuWEYKM5h9FDYQqOZLezHMj3oBUFEYQxD1Pm9hvvM+4MH0soxv7a9hnu7n8xduUZU6a1bt8q//vUva483GtXwZwsVbkQZxxQipCvLfcEFaeu4ugOW00MnCcptrVq1KrbchrI+y3Whh80jJoZ5OEeOHLHbhp4vFNh1oBwKTqhUY14mluyyXV4L820++ugjpxdrFLiR7ufPn5dLly5Z9+mhhK6CplBgobCENZEdA9QgTTFCBfOu0FLteK7jPtLU3X4yLxSgsJatDlSpoZfqgw8+UMEJHeE8x3GBaSPI720xzYML8mtnaVirVi3ViOLtfjIn9Eg+9dRTqsKMvB8N5Bp6NjE03Bmc967SHFwF0aLAwnxrTAMqrtyWk5OjgpZpiKGA+7iGu9tPwYkVbBNDtEIUwPbs2WPdhqBXGEbE3srgNW/ePNV7/e6771p7rjXMxcGF2TYieHp6uprfg55OzANCryUiWmqINIt1dNu2bevX70GeiY6OVuueIpCVhkYSzLvFOqk4l3FO20YGxjmPaPE333yz2/1kXgheg8K247mJBhOsm4xGNg2PQxrjmND5P4JnIbiRzhsQSRjbKTggrRC8Due7TmMEtdJp6O1+Mh80nk2bNk3279+vrvGOqwQg9sITTzxhTVN9DY+KilLXd4xswlrLuO7b7m/Xrp26zpP5oPcZUwHQeGKb9yM6OPJz9GBjOoBtuQ3nMcoGGELubj8FJw4RNzG0XGEu7rhx49QtCtRYwgFBMSg4oeV67ty5aqmVzZs3qz8NPdkYVnT77ber+VlIc7Ri4iKNIWS6pxvBUTBfS0cmRWUdwTRwgSbzQQV5+vTp8sILL6ieiYSEBBUIBb0RSFf43e9+p+biIr0xcgXnOPY1bdrUo/1kTjhHMecSUz8cIRrthAkTVAUa87HXrl2rRjtgiDiMHTtWFbJGjx6tGtdQyEZ6Dxo0KADfhEoDwaswUgF5+W9+8xuV36NXCvm7EfvJfDDtCxUlpBHOX1toGMFyi4gyfd9996lywPHjx2Xp0qXyhz/8wVoZx2oDCIKJPP7YsWMqaNbChQsD9I3IHcy7RkT5KVOmqHRFIwtGLiDQmW4wRccJGlbQWYKKM9ITlXLdWeZuPwWfMCyGHegPQa4heVDwwlAj9FwiMBKGh1FwQi8mhow6gzVvUcEGRJrG45BRo3DdtWtXu8eidRuVdRTeETirdevWfvn8VHpYwxzpiiH9uCBjnVPbIIYYBojjA63haEzRAdE83U/mgzn2qBRNnTrV6X4UrtFrjUoTpgKgQGZboMLUD0wZQY8W5vOh8c02EjmZB85PBK1EIdk2DbHEHs5b9Gji2o1KlW3sBG/3U+CgcQxzb1Gp0kFJMf0LlSRn0FiGBlI8D+c9poShMpWamiotWrSweyw6U9Ajivm5yBcQt4PMASOP0NjpeA3GqLRt27apcxbL9iH2hi0sz4mYHJjmiZEKjnPx3e2n4MIKNhEREREREZEBOAebiIiIiIiIyACsYBMREREREREZgBVsIiIiIiIiIgOwgk1ERERERERkAFawiYiIiIiIiAzACjYRERERERGRAVjBJiIiIiIiIjJAOSNehIiIiHzvyy+/lJ07d7p9XPv27SU9PV0mT54s4eH+b0vHe2/cuFH9n5CQICNHjnT7nIyMDElLS7PeD9RnJyIi8gavXEREREFc4Z43b57k5eWJmWzfvr3Un2vbtm3quQUFBT75bERERL7EHmwiIqIg0atXL/WnZWZmyq5du2TSpEkSFRVl99ju3btLoDn7XK7Uq1dPHn30UZk/f75s2bLF55+NiIjIF1jBJiIiCjHoBd68ebN1mDXu79+/X4YOHSrr1q2TY8eOSY0aNaR///4SHR0tmzZtkt27d0uVKlVkwIABEhcXZ/d6+/btU5Xe3NxcSU5Oli5dupTqc507d071up8+fVoNHe/atavUrVvXoG9NREQUeBwiTkREFGIch1njPnqG77jjDlm/fr2cPXtWZsyYISNGjJApU6bIggUL5MyZMzJnzhxVCb9y5Yr1tZ599lm588471dxvPGbq1KkyduxYycnJKdFn2rp1q/Tt21dV8C9fvqwq7Lfccot88MEHhn9/IiKiQGEPNhERURmA3mNUjMeMGaPu16lTR2bNmiW1a9eWhQsXqm2DBw+WYcOGyYYNGyQ1NVWWLVsmixcvltmzZ8ugQYPUYx588EH1Pyrj06dP9/j9X375ZUlJSZHXXnvNuq1fv35y4cIFw78rERFRoLAHm4iIqIwYOHCg9f/GjRurW/QiO27DEHJYunSpNGzY0Fq5hpo1a6ph5B999JFYLBaP3xtD0ffu3Svffvutddttt92metGJiIhCBXuwiYiIygjMsdYiIiLUbeXKlYtsy8/PV7cHDhyQqlWryty5c+1e5/jx45KVlaWGjFerVs2j90ZvN4aj33fffWr+d8+ePdWQ8R49enA5LiIiChmsYBMREZURugLtKczhjomJKbK9Y8eO6s/TCOFw4403ypo1a9Qa2QiqhrngS5YsUdHO33rrLQkLCyvRZyMiIjIjVrCJiIjI5dJZsbGxavksW5ijjajj8fHxJfrlUInu0KGD+tNLcmEuNyKcowJOREQU7DgHm4iIiJxC9HDMmUaPs4agZE8//bRaugtLgHnaE45I5d98843d9sjISNWrnpiYyBQgIqKQwB5sIiIicmrkyJEqMNn48eNVYDPMx/7ss89UhXjmzJke/2qoiKOSrV+nVq1aKpAaXuvxxx/3eB43ERGR2bGCTUREFKR69eolCQkJReZWd+rUSR555BFrD7O+bwuVXGzDrYbXwbZ27dqp+3j+c889J6NGjVLrWOfl5an1s0sTmGzSpEkqYjnW5M7MzFTvgfeqX7++F78AERGRuYRZSrLGBhEREZEbCFr2/PPPy86dO0sUCA30vOw9e/ZIuXLsByAiouDCKxcRERH5BCrLGFaOoebuZGRkSFpamurhJiIiClasYBMREZGh9PDv0sBwdvyVdAg6ERGRGXCIOBEREREREZEB2DxMREREREREZABWsImIiIiIiIgMwAo2ERERERERkQFYwSYiIiIiIiIyACvYRERERERERAZgBZuIiIiIiIjIAKxgExERERERERmAFWwiIiIiIiIiA7CCTURERERERCTe+3+rCifPdziCDQAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig_fc_energy, ax_fc_energy = plot_hev_fc_energy(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "cell-10", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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+w4iGojKy4ioiOaYVnn/+eZExBL0Y34cMGpwiZOC5lVIo/Pe//xXfhWwlMu+jRo2i8ePHh1Qg9+rcYwmvzhHt2j755BNxPyGuxmrRyOICGG+rOQTnFAyB4cOHuzpvqG1/8MEHgkGA8waLAPcG9xfsAmRBmzZtar4fWVUoyOPeQ+yNHV58FrXg+BvqpXH9+B0cPojfgcYeDjje66+/LsYKDAzMZdRfYz6jzRWYGQgiQBXc7ViV1RxyOy5gC3AQQw7ygDnCgm5cf13W16ahoaGhYY+E0nBNLjU0NDQ0NDTKDGhXBfV2iJqhD7MMUI1POukk4fxC8ft4R6ix0tDQ0NDQiAd0BltDQ0NDQ6McAKJWoAOj9hm1tKiJRj0yU+i5ZROA2vXdu3cL9sCRI0eC6MHHOtyMlYaGhoaGRjyhM9gaGhoaGhrlAKjZBWXeCqBIg/LLtcUQxOIWUFDVBhXZqkb7WIWbsdLQ0NDQ0IgntIOtoaGhoaFRDgBxKziNaFOFlmfohwwRONRIo1e63EP81ltvFeJ4EJ978sknRS328QQ3Y6WhoaGhoRFPaAdbQ0NDQ0NDQ0NDQ0NDQ8MDaP6UhoaGhoaGhoaGhoaGhoYH0A62hoaGhoaGhoaGhoaGhoYH0A62hoaGhoaGhoaGhoaGhoYH0A62hoaGhoaGhoaGhoaGhoYH0A62hoaGhoaGhoaGhoaGhoYH0A62hoaGhoaGhoaGhoaGhoYH0A62hoaGhoaGhoaGhoaGhoYH0A62hoaGhoaGhoaGhoaGhoYH0A62hoaGhoaGhoaGhoaGhoYH0A62hoaGhoaGhoaGhoaGhoYH0A62hoaGhoaGhoaGhoaGhoYH0A62hoaGhoaGhoaGhoaGhoYH0A62hoaGhoaGhoaGhoaGhoYH0A62hoaGhoaGhoaGhoaGhoYH0A62hoaGhoaGhoaGhoaGhoYH0A62hoaGhoaGhoaGhoaGhoYH0A62hoaGhoaGhoaGhoaGhoYHSPTiIMcySktL6ciRUirPqFAhodyfo0bk0Pf32Ia+v8c29P09dqHv7bENfX+Pbej7e2yjQgx8IxwzISHB0Xu1gx0GuDm5ufupvCIxsQJlZqZSfn4hlZQcKevT0fAY+v4e29D399iGvr/HLvS9Pbah7++xDX1/j20kxsg3yspKpYoVnTnYmiKuoaGhoaGhoaGhoaGhoeEBtIOtoaGhoaGhoaGhoaGhoeEBtIOtoaGhoaGhoaGhoaGhoeEBtIOtoaGhoaGhoaGhoaGhoeEBtIOtoaGhoaGhoaGhoaGhoeEBtIOtoaGhoaGhoaGhoaGhoeEBtIOtoaGhoaGhoaGhoaGhoeEBtIOtoaGhoaGhoaGhoaGhoeEBtIOtoVEOUXKklP5es5sWbNlLk1Zl0/3fL6P8g8VlfVoaxxgOlRyhB35cTj8t21nWp6KhoaGhoaGhcUwgsaxPQEMDOFJaSrM37qG2ddKoaqWk43ZQ1ucU0qO/rKSlO/YF/S01OZHuOblFWZyWxjGKWZvyaMKKbPEa1q52WZ+OhoaGhoaGhsZRD53B1igX+Gv1brr5y8X01MS1dDwDmUQr5xrILiiy/H3J4SP0xYJttDG3MOSxS0tL6YNZm2nC8l2enKvG0YuHf15BQ16bTn+tyRE/N8mqXNanpKGhoaGhoaFxTEBnsDUcY/6WvTRhxS66eWBTSkvxdurkFvroz0UlR47rO7KvqCTg57TkilRw6LD4/0pJFS0/8/HcrfTy5PXi/2ffOcj22JvyDpjvq5RUgU5oUcPDM9c4mrDnQLHvmSv1/XzE+FdDQ8M5flmyg76as4m6N8ygczrV1UOnoaGhoSGgM9gajnHt+IX05cLt9NGcLZ6P2kHDsa6UeOxPyb0HigUl3goFioNdoUICNauZKv7/7I51LD8ze1Oeo+9lRx2wy5JrlB0mrsqmt6ZvpMXb8mP+XdPW++bMzI2+f3fus2ZHaBy9AKtlxJszaUMYZsvxhn9PWEknvDiVPpu/LepjXf/RXPp1RTY98dtqT85NQ0NDQ+PYwLHvzWh4hj5NMsW/jTK9p5MeLOYs7bE9JVfuKqBTXp1Od3y91PLv+w0n+IJu9cW/+QdL6CBnsG2CD06z/kUlfgc7FhlLGPLvz9xEv67QFPRIMHH1bnpz2kZatC1f0PnjgR2GY328M0eORTz5xxoROHnmKC67ydl/iL5atJ0KpeBgtDh0uJQKiw9TyRE95zU0NDQ0YgNNET+OASO+oOgwpVdyNg0qJPj+PRwD72zelr3i368X7aD7Tm1Fxyo+X+DLmkxdn2v59/tPbUl5B4pp294i+nTeVvG7h85oT3l7C6lBhnVgw6lzBMVoRl8jWOIUa3fvF0Zu46zKtiJ0L/y9jqas813XaW1quTq+hv8+Pv/3OjqhRXXb+62h4QZ2bJmjAdeNX0gb8w7QhpxCuuPE5p4cc8l2H0MkZ7/uyqChoaGhERsc2+lCjZD47+9r6KRXptHCrT7nNhwqJPg87FjYa7Lzd0wjzNjVSEuhhhmVA6jiy7btpe8W76C5m/dYfubOE5tTj0YZNLpLvZDHrpxUkTrVq0rD29cWNYNucMEHc+mqTxbQL8uzbd+z6ziiGYOJ8MvyXbRip3dU+0OH/c+AronW8ArNavhKTI5GVEn26U60quXdNWzZc1D8u2ibs31PQ0NDQ0PDLbSDfRwD1DvgnRmbHL2fs5OLjQyAlzh6cyzBNOn3Zm6KitK4ZPs+euSXlebPS7fl0/QNebR1r88wVNG5fjV6bXSnsC288L53LuxCj5zeOuJzs1MyB3YVHKLjBePmbqEHf1pB4z2o47QKMsWCJaJxfGFwi+rlQiF+0tocWp1dENFnd+/3rSlNs6p4fFZEiRW1+aOhoaGhERvoHUaDMqu46zsdi3rNo5jFGIDR782hV6dsEGJVVhjc0mf0tjSEy1S8OW0DvT8rMODxh1HTLGc4o3GQl+3YR9vzrZ31cKjIdQI2ytTHC35a5rsnPyzd6dkxi0pKy8zBPr9raPZDWeFA8eEyoTjnFR6iP1fvNunEXuG3ldkiOIOSi1iDGUceLBsRY9WuArrzm6V00dh5EelyZBtBu/oxKJdICrGWaWhoaGhoRAPtYGtQZuVkz5ysSHF9/8bm/8dL4CmWsKMON6ueKmoJL+/Z0PLv78/aTDM37rEV57EC1HD/8+sqWwq5jK8WbqfLP55PY2dtpkgQi3tfHvDt4u2iLh4OXVlBDqDE2sG+0BDRYySXw2wenNATX5pKT/6+Ju7fvWrXfrrnu2X02K/eqkPf98Nyeu6vdfT0xNhfU+8mmXRVn0bUrUE1KgvkHyymOQ7WJCtAKHHgi1MDWkR6jaRyOOc1NDQ0NI4N6B3mOAWcWM6i1kp352C3rZ3u+fm0q+M/ZrGNI3k0oXdjaxGxetUqCedmSNtalhThUNeeaGSkVLwyeT19u3gHXf/ZopDn9NXCbfS2UQ4Q6Qgn2jjYR3NQpOTwEXr8t9V021dLaE127DOLTijiJTEeT85uMj6cs4V6PjOJznp7FpUnVXU8DihliXcbsb0HfWyMqg4FIN2iSnLs9UU/mLWZ3p2xiQ5K3QPiiTPenCWCCYwSF0Ej0MplrNgVGcU8FLzohnHTic2FrsX/zmxH8VyvQpXqaGgc64C94WY9cQskLFACdjTbNRplD+1gH6dISEigR4e2pldGdaSTW9V09JmMyj4qeY9G3mdEUqQWVEdzy6Aaqb5gRd8mWZZ/h6Dc/32/nN6ZEUwh338osAe2CjuqrNx+KxT2HiyJOkNa0cbJl+/Z0ZbkRu04D8e3S3aU2Xn898y2cctgX9CtHo29pKvZDo6xzabOvyxQLGX0nbAzvATX/qJNVCyQaoh3xWP8kiqUzTYvr+kCLoxVlLEEftS756FKkm/sz+1cN+pj3T2kDX1waTc6sWUND87M4Xd+t4yGvTGTVu70PuigoXE04JpPF9K5784O2CO8AgRmkbCAiGms1n+N4wNHtYO9fv16euONN4J+n5ubS++88w49/vjj9N1339ER3e/SEi1rplGvxplUOz2lzA021DsCddJT6PBRHDXcZ6h/27U+W529n35flU0fz/G14JJxoDj0ZmE3Lk4T/rITHOkQ21HEcW5ntK8tjOp4ZnO8QOC4uBsYL4MJKB/AGPZrmhlTBwy1rVCER6AH31deIYvm5RbGt74fQoMAWkR5BXlusTp2LMH1y1v3encN4YBOAtd8skBQvNFukNG+TrorUTE1vuRlvKnI2MfKY1mEk+w1i41OXOPbM493wC7RopDHD5BoWLQtXwSDYU/Fir0E3PXtsjJN+CBL//b0jbR4m/fCwl5j1sY8evbPtcdPRyAHOPp2GAN79+6lW2+9lSZMmBDw++3bt9OZZ55J8+fPp8zMTHrhhRdozJgxZXae5RWob3xr2kb6eblzkab9hjJ2LBact6f7qMuPDG1tZsqPNsBx4bGx2/A5M8OOuIxwlCe3TjEWOlnNPECl2sXB5Mx5m9pplu9JTU6kh05vTVNuHUAntIhfNsfz2ufSsq1Jxxi+cE5Hah7D1kqYo3C+oEqfrGYZyxHuMtrPAXlxdrD3SWwPryCvm/HIYDPQgSBeeObPtbRwWz7d/+MK83d9m2TSxT0auDqOytbxKoON46Ct4W0nNPOE/j9zXQ49gm4C84IDprFAQZF/PUcw+ngH9tyhr8+gK8fNp2MRCKhMXpsj9AzijS8WbKP3Z26i3eWsHEHWSamU5P3+Vb9aZapmrA1Ld+yj78qQ1fbZ/K30xrSNIiBe3nHTF4vpk3lb6fMF3nVWOdoR+0KwGGDBggV0zz330NatW6l168CWQy+++KL43csvvyx+Puuss+j000+nqVOnUv/+/cvojMsfUGv6pqF03SwrlVrbOE5WgHLybYObeXo+XCdYqRwb/OEAZ2VAsyyRYYBaMASGVIQyE0skpgVa62zIDcw83TSwqavzgZjZmt376c+b+1FaSmKAge9GmRku5CeXd6fDh0upuY36+dEMOfBwxGGqrHpqsqCPndMpepopA8JzcNjP7lRHBCxiBXke/Lzcp4ZeHoE5++BprUTphFOWjVewCoBFC7m3faXE+DnY8RImBK0edfMqkL3OqJxIew8UUzWHwVM1QOkVqQmlUVCI/3LhdiosPkz/6OsX14wE5785Q/ybXDGBzlfKLWKBjCpJdEqrmoIFpTNFRMt3FojSp70Hj026/HuzNtOb0zZS29ppNPaSbnH7XsytJ//wCTH2bJxJNdLKTzBHThrEioWC4BuX1OHZLsu2r0cbdpWzgExZ4qjzZjZt2kQXX3wxDRo0SPyrYuLEiTRkyBDz53r16lH37t3pt99+i/OZlm/IRvaMjc4yHEwnddvWywkOGvToFKM+7mgEhKO4BjuS1kIlRvo0q0oS3Ta4uSNxsVCAcy3XrzI10nd+7ozSFjV8QRi788Cmh9ZfYESAHnq0ZrCd3rdr+zYSYnXDPaJYI7P20uT19Pzf68xnIR7XCxGs8gyIAqKUpWqlpGPAwY6f2Jic8Y1k7YgEd3y9xLL+GsKKN36+mJbZdFaIN0UcpTgoOZAN9WgRz6Imztod1FTMMmnhF0/8YGRPEUiIJzbm+R278ib0xUzKtJSK1CAG7ftUEcqyZFSeZGg72LV1LY/Q3RmOYgc7IyODfvrpJ3rggQcoOTlQ/TonJ4f27NlDjRsHRqUbNmxIa9eujfOZlm/Im7PTTYqVh2OxqXEG+8IP5gohsKMVnC2yG6PSMKq2H13SjV48t2NQJvXxM/wCWCqaVq8S8pyYXstBlcpJFejEFr5+3E4B5xmsB2ShrPDHqmw6861Z9NBPK4X6JkfBy9vmHC7Y5FQz5ZzO9US7Na8U9WX1+NNfn0FT1gWqKHuJo0VE8KVJ6+m1qRsCMr/xgtrGzAukVUqkrvWrCvph36bWXQa8FmmLZwZbdgLqV6sU9Hc3Dq0aFCj1yIUFpXie0fLLy31MVeWPJWWYgxe4Fg0/4+tYxBkd6oh/z+7o+zdekNePGOttugbm/6mta9Kg5u5sGBUQh521PjeAOQhMXJVNK6WuBWXZ1cYLmxvr7o9Ld3oaUAyFlKNQ2yJWOOoo4lWrVhUvK+Tn+4QAUlMDoz34uaAg8ghgYjmmLVc0JjP/6xTyooIMpZNrTGSqTIK3Y4LFQ87aHTx8xPXx4cihDq5VrTTq1tBXtxlvrM4uENRDcT5kPaay3aj+PS2xArWvnyTuzVIl2zNhebagLI3qUi/omHC+L3x/rsimysc8oUV1+ntNDpUa96tO1RQRCb2yTyM6rZ3zzOv+ohLhPHON/FkWtOhD0i6M/80vKqHTX5tOA5tXp2dGdqDyjHZ106lX4wyatXGPMOSdzL1NeYW0dnehoC7LLebcgp/bEjVjF8N1J1wLsPKw3uF5Hjt7s1lzhyzCBd3r07rdhdQlDn2d+zXPIvqDKC25YlTjIa/PdapVonfjQPP8ZtF2evTnlebPlZKiuwY3rQlnGmyoYgur/ECJ83UdVOgdRms2lN3cOLCpJ9eQk3/Q1MFwuu/ZQd5zERCIxxg//ecac4/BulUentWyBOYUkJ6S6PlYRGpbeQnWSqkc5TrkFnkH/EHNCnGa207RMKsK/e/s9lEf56W/1tLYmZvp5kFN6WqpVGS50hIwlntxOCQbbBUsp5Gew+SVu+iRX1bSuHlbaPyVPSlWgH4MRC5PbVOzXMyXiuXg+T3qHOxQwIZpZ6xViFD5GotLZmb5p2dUreoygpvov/XJKUlhr3GPUbfm9P1ugKyobI5VSHZ//Glrd9OTv68RDuy6J4ZTWSBni1/pMSkl0fIaUlL8dCO7a9yUU0hP/Lo6KENcK6Oy5Wf6ZqbShv8GX3NDCGWtyaF9JaXic4+M7ESRoHCPvxa8cpVky3OopFB4/1iXKyK/E1ftLvfPD87vtlNb0xdzt1CnBtUcne9LUzbSu1PX04hOdenli6J3mpIrB7JxKlVOidm4pey1rpF65/IelGFzf+MNOTv3ydytQnX7j9W7adXOAvro6t40IMZtkfYd8e0lWJe8GA/X63MU+GpRoChPWmrs5pKMBKlWEYaWitKKFR2fx9hretO/f1hO3y/cRk1rpVODOt4EVXYc9M+rpGTrNToSgCUQjzEuMuLQ9w9rS+f0bmL+/pHvltKWvEJ689IewmY5XnCkoi+gU1hyhKpVqxKTa4/ns6siwdBqqJoWn2eYUSglddPSK5WLPUHGmE/mC/G1x0d2pCYRCoJmpPlYNrsPlARc334l2p1UyVt71w2+NtiA63MKIz6Hzfk+NkK/FjVjeh1XDW5B5RFVy/D5PaYcbKiGA/v2BWb/8DOo5ZEAVN38/PIrNIDoDCZQfv4BOuyiJ+CeAn+/28IDRZSXF7rdwc586f2Fh8K+3w22KW1ktu8ucH38bdm+qGP7ulU9PTc3yJWuw26MTm1ZXThyyHyqf8c4/Lxsl614zYGD7sa9mlHPvinbP577DhaL9kdwWOpWDaZxWmG3VI9VUGA9V/YXHrL9uazuhxu0rV6ZHjytpePzhXMNzFiXE9X18fObsyfwGHv3HYjZuB3cH+z8vH9JV+pcJ63c3C+1Bhr0NjjXwLfzNlP7GrHdNGes2kVt66RRtwYZntxfrM/5hYdo4dZ8oQjcsV5Vqh+j+sEzO9SmxVKZTWFh+PXdC+yVaKXIYvywJLBDRfaeQsfngXBdZoqhx3H4sGfnvzt3f8TrqQo5MwIqZzzGOGefbx9OLD0S8H3vT9sg/p22YofYA48X7DDu59rs/bQ9Oz+gdrasbCsv8ccy3zP05t/r6HoL0dRYIWevf8/fmx+7vSgSgOGHhMrugkO0LXsfVYtQtqdemi8psHJ7fsD1bTBsSUYlKi2z69+11293R3oO+4z9HmvEiLY1Y9qhpDyhYoyeXxzTaVb8mHKwq1WrRrVr16Z169ZR3759zd+j/rpbt8izTCVHQc0iJpCb8zwg1WNAXCvcZwPefyT8+90gPTmRXjy3g+jLCwGLPYXFro+/M9+3iFSvklRm9+vAoZKA3pxW51EvPYVuHNBE1GGqf1+fXUgvT1pvtohQgYyw+hnUO8/ckCdU3YdJtG+0GXp9is8JHNisuvm5Cct20WO/raaBzbLoWYfU7YMBc8X6uvD7gJ+l94S6Hz8t20lzNu2hwS1rRF1TFY1S56pdBaJu1K1ximXWi/lWqDiU+w+WxGwet6mVRrcPbkbP/bXO/F0iJZSrda5QapMFgT0W7AP6N82K+bn+97fVQgjrodNae/JdWJ+nrcule75bJn6+rGdDumWQu64ATlFFoudd06cRDW5eIy73Vq7BrpqSSNf1ayxazDCKig87Pg+sJ1DVBz6cvUXM2dPa1Ir6HFHu4v8O7/YxJE7jMcZ7DeouAv95BYcoHfuIRMfHOZSn5zjWOKtDHXrKULs+VHyEkiscKXPbykug1zOAOxzPc5DrdcvbnPp60XbhXAOHoji3xpmVzeywfIwtEmMP6Ns4s8yuP8sQWMN+Hek5yJoro96ZTc+e3V6U7nkJlHGNene2aHM67rJulFUlkJFXlijL57fsifIeY/jw4fT5559TYWGh2dJr4cKFNGLEiLI+tXKFi7vXF+1TnAoosMI10M4jYSdG5aSK1LdJlinowe0R3CDHiNKxindZoEiiFvWwqQOvU7USXdm7kRDJUsGGkl1vYqsWUnsOFFPegWJ6+OeVNPwNX8sYFo3DLYPhh1ps4K5vlgrnGnAjmSGLfNgJnqhTiLNz4Xq1LtqWT98v3UkrXCgMe41p63NF3973Z212LRzklUKzylrAfVI3ei+hijL9+9dV1POZSXTVuPLRb5OVziFoIyuoDm5RXTjYsQYbJV72CZcdoViK/yVK0XX0JXXTgjEaoPsBo1qlJLE2yXBj40BRX8bczXs9V9D3ovXbgBY1qGFGJXrp3I4UT2bHvyesEnWVHMxlNM6yF7zEPj9/y94yEQ2MFeQOSseiovh9BquqR6P46sqwJk6vRhnUqmZ81o9InH+nbTWt8Pl8X79mrFP8TOBZ2mlR3lJWQCtBoEoU3XVk2x2Yuj6XvAYcbDAj0bp0xgZnXYmOBxxzDvYNN9wg/h05ciSNGTOGrr76arrpppuoXbt2ZX1q5Qpw9B44rRU9fVZ7GtY2vOBVsSGKBiOKHTavgawHsK/IWqnaierlFwu30w6Jzh5PsPE2rF0t2wghWmb9e8JK+nyBb3G3Ep5T2xwMalXT1oBAVkhdjH3HKg1yALdJ46L2mXXqGNh9TD03RIeRwYKgWijMMwznzXvK5p7Jzu1fa3Lo9m+WuvqsVwrNDTMr01vndw5gLyBzF8v2H2+c34m6N/TVtrJq6uLtfh2BsoTp4FasEKCSH69+2DAYgGwPe3rKwpKxVOa918iSx7tlyh1Sa0Gov8ututBSp59D5XSsN+Pmbg34nVfOEz/rHeumi0BntPjomt703XV9hLhmPABmEoODgXKGCsFqO/y2IpuuHb+QbvtqCU1em0O/rcyO6bl+OHsz3fj5opg69HLNtSIGfUygIgdC4xw8wL4wuks9urhHA8GSKE+Q7Zxo1gVkrtX1fnt+UblSTeeWZNFoC7DtzpDX5eOtM0m8Ub6eHJc49dRTqVOnQOEmKIwjgz1t2jTKy8ujW265hVq29EUBNQLRomaqeLnJYsLg9RrrcvbTkm37aGdBETWrXiUieknO/uIy6TdrZbyFGiMo2H63ZKeoxcQGJoOd3mQ5LC+CISm2TnFAu7UjwVHLQ4dLaVPeAdECTI5kutmXZPq3XeatWfVUGtKmJm3bW0SjutQV99GJ0bk+17fJlWVrtoA+2C53V6/a86B2EOrY53SuS+/N9FFj2xk10V5jwvJd9Ob0jdSvaZYIsJ348jQqbzCfpcQKAS2fMqskCQGtWjF0tGG08TS4/rNFNPvOQa4+j+cFmcZMZR2Tn1+v2k6FA7Iza3fvj0vdnWq4yQbsNX0aU3eH3R2sWCRe+RdsCMbCyIy3NgGv/fysIJgaKuD3y4pd4t+F2/LpDiOQ2LtxRsx6zL84ycdCeGv6RrpdCr54CS4jkBW3j0Xh3nh3ikI5hhclGbHOYEdzz2WnkG2AXElHgvH+zE10hQfBuEiwxAh4g7FypsHwjDaDHRMHW+oCdAw+hseng925c2fL3yclJdEJJ5wQ9/M5mvDril2C0gG6Zbg+yjINDdFDLHAQyfIKaI/0zJ9rRW/D8Vf0cP151Gwv3LbXViApXigyxgjZ9NzCQ5aBgtXZvlrSjXkH7CnikoMO56JGmuFgWyxccnszOZorZ50f+HE5jb2kW0Ak083GJFPE29jQTfs3yxIvOdPyxt++Gt+7Tiqf6pJW1H63EXGvVWtvHNCUduQX0c/Ld9G+GAWKUFKAoEvrWofi1iPZLUB1/eTy7iKggyAR4/WpG0UA4s+b+8UsO2snMugUcF6mb8ijz6/sQS2kIFOkAS43sAqAfbt4h+jZHktgveFsC2PyOj8V0U1rNSsH26sMNgLKtwxs6lmAZsWOfHp/8jqqnZZCl/RoQLEEAjR9m2QKpo08Tri/fA+27j1A9atZi+ch4DlFuicA7lmsHGxGLDOCi7fvO6Yp4m9M9YnXLSqDADRsxLzCYhrUorpjQdR4gLPN0bIW5HW+2LABsE5Nv22AaDP4yuT1NH7+toCMebzhRQ9utG/9VWKrxDqDfSw+h5Hi6AzjakSNrxfvoBf+XkfP/bWWlhp9QZ1EUvMhnmUs+l6BHWL0snSy4Zzx5swA6ubmPQfoBImSXVY1Zhd1q0/D29USRsyrk92PETvFqVLwYuveg/TDou00/Y6B9PjwNkGfKSqxpkvJdXmcOQuspbZeBPH7pyeuoR+X7gxwqt+7qAt9CKXp+s4M5ez9RWJzwqu8Q85guxWbPL9rcC19JNiYW0ifzttKf6/ZbT4HsQoU8WYIiigEY8ojYARA3KxlzTTxL4RT/rqln6DQ4/xXSIJa5c2ogXMNqGMbWGoRGyNEdXJj+V0y1ufsN2uCVXQznGunmgIyK4fhFQERTJuqlRIFhR17XzSAgX7685Pp07lb6bslga3RYgEEw546qz29eX5nc5zAiAIbhYHgnBOBt0hKhSKtyR/RPnwJWqSQgzFeX8ukNbvpz5W7AvbYeIMD8fHOYKMF1vN/r6On/1wrREDtoIqbxgOyYxwNE4gTIv8a3obqZ1QK0LBAqQUHcL1wciOFF+FvMNVOb+tnI8RiO4DmTyyPf7RCO9jHKZjSAWPwZ6MVRCh0qleVruzdMCYGGzvEqNMLh7dnbKId+4ronRmbzN+h5c0jQ9tQT0MIpKwy2NUqJ1HT6qkhM8SlThzslET6v1P8Wd+kiglUKaligHiRJUVcOniAsqzx/05qqaevzxNOsWwsp6UkUoe6ValNCHE7bLQwdv5cvZv+XpNDk9f6MyXqfIEjed8Py2MithHthu10bl/QrT6d3bEOndzSVx8fLZbv2CdYHJ/O30afGfX5MsU2VtcrK4mXV/iEztIoFTR6I8CzIIYZHTa8ohUkQzDSXuSMYqo6LCMeBs8vy+3reedt2UtXfDyf3pvpX7OdZqhiIQqHIATGCSrx0UAOYsaTCFIpybcPYL1VNQLkc1Kh7ov3ntyCGsSoVRzA090rIchQwVEE3rBHeok7vlpCV74321RuP55w17fLKNtQ6razFVDHP+ilqXEJLlndcyhr92yUGfU+iPIZKzYU7K5wz1Ss8dXVPaMWOVPXT2TnvYbOYB+DFHGNyCFHZZ3aLpzF9ur5nLgqm3IK/QqOqJ0+7705Iir5+ZW+hcUOVo4QZ/7KqgYbYFsikiDEgGZZQugKDu18yYFAj087QGF57e5CQUuXv1NeUGHYwxjj+iKUBch0bhl2wYm8wkMGnTDRklIIBW65Jc8VvXzBGM4sVJDqyqEcjuwpq9iXNWSHyul9u9Njyi1vUGhZxlBVmL2CVYYwFHAe1366kIa0rUlX92lM8QCCC7+vzBaZBbn9HMpZ/l6bE1OlVxgz1/ZtbGYGsd4psghhPw9aoUo1x7PaulaaeBYHNo+NEjqL1cmIR22qk4CH0wzjAansheHVngMBzBXGGEXrtMsBE1OMymMs3Z4vAm+g+Lerky4yWkzxxJqRYbTxsTqnUAJp4QTRvBT1g4ONsWb7IRbr5qND2wSNRTTA+XLiEkEMbpcUb0A7BeU8L8dJpd46I2k9p/7vh+UiuxtNfXAkgKo5bLxog0OmHoPkXM/elCdKLtCuM6lChbDPVKzBGi/RrOHYEzCP7GqyvYBsN2m5Mz+0g32cQjaynT68bGR6kcHGon3v98vF/3MbHlDKIHqVYBhjVvWhlRIriHO/pIffgdt/qEQYOJwBLyuKOMSjIOgSKV0NNdt4YWz+WrM74G8P/LBcKHOryrcvj+pE+QeL6c5vlgYIbmGDeOfCLnT1JwvEuZz++gyRPUek/95TWtjWVFkZXRChO//9ueL/Ub94meQ8M9SrVbPp8mF5/oCCxnj2bGc9uWOBkR3riAz8hBXZYe8bqNxwOOtVq0Trcgopo1KSJ22Q1KwpwIyMWFLinQA01I15hTR1XW7cHGz0vYaDC3qx7GCz9oMsdPPxnC30xcJt9NroTqI7QrTAd5zfrZ7pYPsMTOfOAYIvaHtWcChwHYLI10eXdqNYgh1slMwgEBGvDDZnna/u0yiAXSTDqaHKtF84knAsezbMoFQH7CYn+GbxDvpluU/sK9rElJzZioXzyO3KUGf8ydytNKJDbbr966WiLdhprWuKMVGDZaHorOq+2CQrdtlr2ZAf9d4c+vKqngFGvvft9Lwdf3murtxZQK3LqFUVn4eXmjduM5J26wcSAUUlwaJgsQbsDysbxC0SDYMWJY/X9W1MTapXoQ25B4QdAN2Ptsa+HguHNB4JGwb6xEPYcGjbWiIJ1ame94mNPk2y6OHTW4nAeCuHwsnHAzRF/DiFkwVUxvQNufTW9E2eGWyyYQBVYABOizi+Ygx8tWg7XTd+Ie09UGyet1yn/MRvq2ngi1NF7TMyRNUql03caOLq3Wb2JZqgJ9ZzORsMoCZ65kbr/oLIKL91QRd6w6jNYzA1TxYgev38ziEFS7huju8FsHyHPytmt9CrUW75Z9VptToEgiNwmmLZH9gOqCu/rGdDOrFljbCUMxiL13y6kN6evolu/mIxvTo1sF+vl8JaF3ar78mxnXwXjN97Tm5BT58V3M4Q9w+3MJSdMWltDs3ckOe6j3g450XtQ83PvSw8g0DNlj0H6dUp3mlDyMEqt89yg8xKop1YgicVdC6/O6OyqLdDh4KzOtaJWw02r8urlAw6xgHt+twEHVGO9PkVPeijS7rROZ3qihZ2kXSWiGX9JgD2lXmsGI1xc6PkqEFmZZGBxhhWT02mx0a0pftObRX0LIcKYtx3Wiuqa3SkAJ78Yw0t2BLMPMB8QX16tG283r2oi/n/6I8by2AhxD6jyTRCrfmlSevM9Us+Fta2stiX1G4K8USgeKo94w6A7ky88fLk9XTH10to8bbI20r+dlM/6tIwQzCluNZd7jJg1mCXUf83POu3fb3Edw5ROPlMCYeI8N0nt6ATWtSgWGBE+zp0y6BmopxQwwedwT5OESAO4mDzYCfY6fvDQTb62NmGEYWFDYscqMqoaWYHGkB2uFSKnjKYEn7TgKZ0pmFUlr1YlvUYjepcV2RQkIlXAbE50KebZVmrurttIcUMAMEGSPA5SPje7fkHRcbfSkmX74tMiZUzNXZnoE6JgAy2sjnI937MoKai9RK0AB437vOnl3ePS1shVWH3f2cGO5d2QNDHjs7qVR/JWLTEA9S+pjC6kWGyA89lOxosjM97vlsm3vfDtb09qYWU+2DL4EyOlZiXW+q7HeDILNmRT13rVxXzwk0JKdbVlMSK9OroTkEZOxwXKs84dwS55CCWV4A2AGPZzn1xd7BZORzPNdo0oY4Rzzfg1AHC/EE2KZbnCUTL/NyZ7693j9UI85ghWGolBqqyUULVizbJqiLKg75Y6Fu7lu8sEB0FVMDh8PUh3yqM8kgB3YQu9avSgq35oquGGwx/Y4b4F0HjUFRgdkCh3I+uAxBEjARXjltgMhFuHtg0YM+Cpgheg1vGxjEJBZR+AW9P3ygE7soTRbyqMQ8zKnsT/HIDBIaQlR0RJTWdAxf83HDpJOzQmqnJoiyjXhkpqOPZRvmfHMyIBCxExzXlGvGDdrCPU8gZICfR2cCMd/TmRGpyItVITRYbCGjHMMJAtQWFGe3DVIEgAIYpMqwQp7l2/EL64OKuxu+di6TFEk6EHtB266reDcX1q5i1MU9k4c6wUV2V/VQoeyJjD3osnA7VQYKjDmoQgL7UaG8EoP82BMyQ6beiqyI7cm7nugH1bHKbJLtbr5p1chCmJCi77f//trXTBR0e1E05YxBPB3vu5j2C4opzwfW7gVdtrqyyyoicJ8eAZAQDsl3tNLNEI5wjn20YeYuNnpwqMD/YCd+UVyiylrHqKQ8VaMxPq/nhNgAVimY95sslot7bbYs5PJcQ9KqVlkw/Xtcn4G8fzN5MHxh9e8/sUJseHNKaYgm0dIIzBscq1lADRJgDWOfSKyWZTBrMkQ05hVS1cqLjjDQyi3+uxnpQJaBUIOLzjKLnvQqIbZrHilEQg+uYUTvOzwSCy3C8YTirwaxwQQy1BMhq3eHAthfg++wmg42xhMAWrsQqEC0DAb1TXp0u7AUvnn8WCeRxZyAAXBYONmOG0ZmgLDLYdqPKwx3vTo+XfTRPBIfEOUR5z1nPgANVvI5h3g1pW0u84gnYbQ/9tEKUxoDJw4gmuMIZbJhxsLeTKiR4+oxzUG7s7M3inK/v3yQgAXY8Q1PEj0PAQUa9Yg+jxtMJ+0Q2oDpGSAGB43T5x/PNtmAcUetQryqd1qaWcLg5uyYLsiCTxFG8z4w+2agL5agjZ7Chvl2WYGMFThpaI1gBPa1vGGBdx2xmK2wijXJW/Lavlog2a1gwYXwNeW06nfbqdJOZAGEWiPlg7OS6bVYHDxUAmLhqt6j5Y6PIrhVYAJTf873p2qBakPiMfAxkNqBaLs+veIuKgG6G2kbMS7fBowoxrIse9e4cihVkCjSi+FB17/nMJLr726WO2vvIOCBlk71i0/F4pCi1lcgo/POUloICrYIzpV45YbL4jRNAC+G/v/uCWqkWATQ5KxarKY5AEdYhzGOo/o/qUs9c52OJi7rXD8iew8HGOofe0ByEQnZ79Ptz6I6vg+eYjPlb9oo2WmhZh2AHDDd0J/AC8jpTMy26zBsyeO3rVRV9Zl84JzYiVLzmf7dkJ31vtE5EwKLvc5NFWVR3pb/44Bb+dpXqmvv+zE30g9R+0U77oZ3ULSLSnvBY/5F1RdmUU6YPr70oD+PHY08YBW9knNkJjybIgQAOgM4QVnsQ9sWywOvndQo7V1H3Cp0UryCCN8b1/2tY6wBHT0b/ZpkiqTFjY56l8n9c+mBHeM8xx276bCFNNuYnz3OZIl4WuPWrxaI1KzR12IaCORiNEj9nsCHeNvT1GUI00WugVS6CHrDleJ3S0A72cQlsSqg7veekFvTY8DaCthwOTL8c2akOnd0p/PutFjQsGnCMv1+yw3QEoUotO2dMO8qXjHqZ6iw70X718RKz/u+cd2aJRaoswE7Bg6e1opE2YzRjQ67ILEMQzZ4OGLi49zN6fMubyS6jPQuyVHef1EJk9UH3Y7uAa3YqVqxgaczbUdgxN8BuECrISlQ3ZAZb+T0EQlDXjLmlbg6lStBFRbwdbL4+zM+z3p4V8r0QmpPh1ZnimXr+nA6moRdrai9a24E5gu9bnb3frLf8a01wvaGcpbcKQOwvLvGsrpXBc89J7SF6ZL8yqqMQ2PICxcZ8ACUX/WCd3gcEuzh4CLHGaz7x0U6tWB2xqum8ctx86v/CFJolqdHHAwji3TG4mfkzdAr4uQJV+Brp3vAYhVIkf3fGJkHL9Vo8jA1p6A3ce0rLqI51erva9OOYgfSfEW09YW1YQV4LOeDZVwreyrWZcDStOjxwRvKVKRuCKOFWpSkQT+NRl/dhN8BxZR2RcNoMoPwOeW2G2Bdl9trDP69wobQc0aka52dkLo0Mf2pyYkC9ul3QO9YI51hhPp/3/hwhQmp1LyMB1iawhBA4OqllTVtWF/RKEDTE/hGrGnsryEGfSMsV4aRPW+9nBai2Tlk52HIHHL+AH2y40oj3DF5DKifFrq+3XJ5VVnoF5RE6g30cAxRIZI6diBL4F56KUfdnxZbx+6ps2p5fJBQHUWeCSDcWEQjaNKtehZKlDc10sEtLxYbDQkf7jMWI1XrhfG/ec9CyF2w84HcK7DdFULTR55hreC1rXZVNtZmhyij3s+ZF8l/D2gRQJ9kZYIpbTsEh2mwIeMiwWwMRNeV7rf4rH19FsxpVhEgYot3/PKWF2JhvGdRUzC8VT4xoa2YdoNhpNw5lsmGH+e4bBzShaw3RJi83k8ZGfeSozvXMuR+rfeqRn1cIBgSywZ9e3iOIhqnuv/J8lMsFGLKit1ctQ+0o4ph/ewqLhY4AAw5cr8aZniiIi+82LgKZhKFvzAy4vlBQ2wMuN2qg1UwCEKsZzusCxg2tzND2DYrs8YDqDON7wa5BOcp1/ZtQpkNaIjtjoDPz3fdqSShrA9ot1GAj1OFPlLLUMpU5lLMhl4TJsMpQI1BdKrEyIoGqu4EMNu6r/AzIQA01nP8HfloR0Coy1H3Hsf75/TKTqh8NXZizouyEoOzqCon55ZXz6hbhggdyNldmmkUDiHuBJfTI6a3DPidMBbbSxIgVZGcuUsaUej95X+NjV0qsSFPX59IZb84U+iLxAo83Snt4Lcez0/vZybbPcDjwcbg8RC1/8AJFckmB9q9NHB27jIanAC133Nwt9PNy51QOeSOOhDYmi6+gJoSj1HBo0NIGFFVsJahLHH9FD+rfrLrYkGFQz9y4x6TJjX5vtrmYI3ONv+83DNs6RhahrPpg87jgfKB4bgX0tATmWai3slEiR60h2jLAUH1k51beSOEcVZDezw4iHwuZNES4VdgZY6hHVq9H3oza17Vu8TC0bW0hEobWYOd2rieo/shCMY1dBrIEJ7WqYSqW241DvCDTs8PZaKDbyvR/r2MBoPR+dGl349ixGYf1uQdE+QAbZ2pARzVU+bmye/ZlB9Qr9gEo4O9e2IXO61o/SGzx1Nem07nvzg74HTIoXn23anw5vQ9qD3kYbWo/ev8xKSbwByYSBK36hs8X0Xs2bbO8Aq5r7e79tGXPAcEmYKAWXTZOs1J9z/tTYcQETSMXDrbhYHj1LEBhHUwHr9oubd1zgF78e51ZW+810EmAA8rQJ7l5UFMRyOA94sPZWwIMadDrrWCXQbYqTfnPrz6xSSA/DEXbDrIRj5Kyj+duEZR21DJbQXYe5O8MFTQAvf2PVf7SgWjmCBhgwL3SfO3dJNMsO/FKQNENENxAwCFU8EBeu73uaz5tfS59u3i7eK6tAMFG3ts5cDJ5bY5Q93YrahexmGyE9zzIwTZ+vu+UlvTHTX1pdNd6gsmE4M3ugvhl53s39nUxwXOu7rWR+sVX9GpI1/dvbO7jsWAIyqJ48RDVPFqgK9GPQ2zdc5Ce+2udWWeIumC7OhsGJyc+neerzX18RFtX3ylnvoa3qy0EvXzH9R04Lbmi+f+gq8Lh7t6wGj0/0t8fGfXE3CqMDVo4lMPa1RJONbefUg3deOHZkR3ou8U76O7vlolzf/28wLZZTo0S2cFGFuj7RdvpzzH9TatcFiBRI8y8trGwBQOKxuzc+95nvQjKvi1vZOd1rUcDm2dR7fRKjnuZIsuIOkoA9wf19TIeHdpGOPPXf7bI4hzKhiLuZHM45ZXpAdlHq1rgSDB9fS5t33uQOteraj5rsXbCvluyQ2SN1Ky9Ov5gJmBK4m0I7qQr24acvYj23uFc/liVLSjseKlINWqb4UzgOkCfG/7mTPE7lEpgrkYL1elweklWteqyMSP/f6xodDK13oseqk6AvvAXfDBXBEhn3jEw4G9wkBGA2bHvoMmkCSeAw4GfSkkVzGfBq0uAgz1lXQ499PMK4fg9MKRVxMe6Ztx8mrvZ59BCEf5yD3rzqkApF9aY92dtFufOgnXQL8F8AktBxrwte4TuhQqrGlloY1hRkEMpkTsF7z/Yn9CuC/oOPFesIK9BMi09FKNIdZKiWXuw7kKVmtlvEE7dkV9EJ7auRVty94us/mfzt3myvjgF1lU+H7tnWP69V+UUmFdIXqAVJYQt/z2sjaWSuxzcwT5yyxeLRT028P7MzUKoKxYIaLUX4T2X1/jxV/agTEP7B+smlyVxm65YZHztwOWOsIfV7w03v6El882i7XRR9wZ0lVSSc76hjfHTsp0xS2C4bft7vEA72Mch5IwTlIRPArU3TFbh9sHNqX61yvTUxDURLWqgfj9wWktBvYEBACNazuTKtZbsNMKRlJ3Jakp9GRYjLIKPDG0jfuasMR52GAm8QMYLMH44wwvDa+XOAqGMLiPUyMkU8St7N6T3Zm42I9MwhkokEbUZtw8U16luqrwIq1FKdYO2W2Ple8uLJjbXUK1SZCzculd8jsVtrM7lw9mbhdpyQ5tj2tEI491eDYEkaAYgY417grHhv6J2uUv9anRKFG1sZCBwNWlNjqh942ciVo4RMyBQb42XCtWoxRwD5RhZHCtRJJR0eHXvfly2k/49YZUw/KffHuisAZWNbB6vY/K68euKXZ4YwKrh7vQ2sHHUu3GGybqRnZV4ZLCZDoi1z5/9pZiC5xPuBeYKtwQEcA7IqnI/V9DEw9FO2YAW7ByPM9jMMFqXU0hZLjsGqJDrTmNZd8htuXh+8f0FdVSl5trVV6plDlWSKtJvN/a1fC+P9Rvnd6IuFs66E8hsLHlNsKvVhUAe1kCo74OejbteGsbBlh0tBB8yo2gX9cjQ1jTyndnmeoJg0PXjF4qykx+v703d//e36NrRp0mm4yBzPFrKxcL3g9L/hWPnSt8d3rkfP2+b6Vx7ISBoB3wnJ2t+uq53UODeKXjuoB0gWjGybSWD6+5jUbNsh6fPam+0qE0UweRZdwykXs9OdrQGYn3Ye7BEBEXw/2ogk4NpMaGIu0hSHE/QDvZxiP1KNNvpA8HB7kjWGyyEZ3WsaxtRlyPpXAeF9zD1BJRHeVkAvVjddGQBNBgeGZXjXwEhqzP/sGxnkIMdCqDDDmpRXQQyoPjI+GLuFrr/lMB2QXD4uCew+NkwatnQUw0T+cdzOtWlDBt6tuwfYdGEcfzGtA2ix3jdapWE0WuVgXrur7VCeZy/pqekXKyeC6hnczbvpbOUnuUvnduBcvYXU5Os+Bgw4QyZi8bOFdTB/zu1pRgz+SpGtK8jFJK9Am/4Xxo9aoFY7VPh6gnZEQStFA447gecIuFgW3wWRiiCdMgAJUYZ1GKKK84BLejQOQD16fI6gXPBeUBcLYOSPN/YkTVEKzNkBMRxHVZMc2lKptSCSjbOejSsRquzC0TADKyAmGawhYMdH4NHbm3Da9NhFlms4HsBLWuminXhy0XbRcbXTjypqMRfR+51BhuKy8zkidYplpWxYxXEAMsHTBO1rIj3S25RybCif0Is7i6lO0Coes5wfe/d9u92oiB+bqe61DDD1xseWhTvXdxVlBg4yWAjAIEsazTgYDw/r3JHj2yJJSB3TIg1+Powhtw9RYW8Nu3cd1DYDvFi8Mh+GlSkZeQZlHuvgfnQp3GmCPTCDok0a2+nKQTlewjIgjXCXW6syihiBTjHD/+MNqqp9PKoTuL6mD0WTh+GhUoRCEIrs6+u7mWKSqI1F49VLAIG8h6j3Ws/tIN9HKJQ2ZSd2hlc6xvKMEFdzr3fLRfq4K+O9rWYYOQVHqJV2fuFgVl46Iitg40sNwCDnmufELWcZ9QHg3IMijGA6Dg2QxjdOAY7ml7Q3NzirekbA/pVWvUXDjXWEJ3DC1DP/7EJq0TWASJbMJYaZ1ah2yTVXrTkwSLH9wjOHxS8UfcGyMJvcBjtIN9b1P5BeRZOz1WGIvKlPRrQmBP838vA2i9fWkDmTlnQeZ/gIAKua/wV3almWopnfaXd4N6TWwihvU/mbQ3YKExROeP85XuHuYxsPeYyIuDRwspxHdzSuuVOLL5LBo8B2nnI/clPa12TGmUG91QG7fOuk5qL+xctkMniVkLP/71OKPnKDjbPS1wDsnLy/fLKbmhfJ128Xp2yXsxVp84Tiy2iVpaNItk4Q4BRDjJ6DTy7cg12Qtwy2IHCYeiCcOjwYTPgKHeB+GnZLjFfsI7YOdgyzR0BFtR1p1q0PYsEt321mLblF3kyLnKQOFYZ7NenbqCNRkAAQn4MsGoQRFa1Pqz2PbCFGAhyMIvMDnZim27AWTJk1E56ZZp0ftbjhEwiXoxEB8wFWWU5GuB62XHGmo97KWfgt0h7pxWDJ1bgZ7lWeorZvlSFPIe9ov6qc8iuM4R8b1RmwodztlCb2mmWIqfRBkJeGtXRkxIGzLCVO/fRW9M2ULOsKnRCixoioIzWgPj/GkagVGaOxBoYUqyPspI+1lCMdTgHW/4MxH5RlgHNGAhdAi+f25FGtK8dEwbGf89oJyjo6OON+67hg3awj0OodDEntUsQq/pojq/mJtRzjmg1FihVMRa1Yu/N3CQydB3qpgfRveXWVKi94wyarE4IBW41so52NLcaisgfXNyVmtVILZMaEGzMb0ptSYDP5m8VStqRAM6ejC8WbBP0uX5NM0WEcgrlCrXyGwf4jv/+xV2DjmFleLx1fui6cB7tLvWrikwe6t5l4Ry7e68amLIhpc4v9b1Y8GFsl4FvLQCnB2ItEISThWIQxEBEuXZ6ctB5Q2F07OwtwhGzGnsvnF4OInkNq4g8AjsDm1WnptUri4AHAPq77GBjbNSaTdEm5r05NLJzXbqhf5Oozw3OqQyZpSH/DswCrGOyUem1+nyCS+cJglQnt6wpjGFfVwSfONFLf6ymphkp1LuR30GKBXCWJ7eqKQxkUOl5nYx5Brs40MGukZZsZokR8OO1HfcH7CQku0K1bbrjxGZCiKxO1RTRdsqu9VRE5yr3Io9yvgT246WYgIN8D5/eSmiXMB4+vbX49/4flot/8cwiK231DMjBVbRTO7V1TZq4KpuuG79QaIVc2y/wueUhunLcAvFet3orAEqK3r6gs+h9LgvA2alNT12XK5xX7DtZVZIFRRa0b3U9sFrHsCZhHUJAIJKgAMYH/dkZGEMed9Clrxm3IKiNaDzA1wedHDuwAJ6X2iXBIo/W7+N3DW9XSzh0cK5k3P/jCs8dbAbq4RHgRgeV/s38oqNOAZbE3HtOoHELttPTv64SLcngVHNQA2Ne3RBlhMOLORHr4D/2mWf/Wmt+J+wuiBHzXIxkjZFtN5QvQrgvVsC9kDvaaGgH+7h2sLnOycm6vFhaPEMZbGy0QPTix6U7xcIFzNyQZ9JfsYBjY4eTYtVnkjPYeJ+sTmhSpqT3cnSRaeXjLvMpMMcbVpkDK+XRi3vUFy3KrDBzY55oa9OpXjXhTO8qOCSciQeGt6P7vl4sDB/5mL+vzDYdbCsg8sn3GMCwQThKCM2UkiVNnO+fKT6nGBR20Wx1StjVnorvkH4c3KK6WJRPenmauLa7TmxOHepVFY5rPIEShpfO7WgtOmcYOPJ5I+Pt+503Rg1v7HB0QWONJRD8OlDspz1CnAmUaBU9Gvpp/na9YKEWi2cdivFeONjQGpCRapG55AAAjPViiafo1b0ACwfZAHQyyKic6LilE6jhTA//6bo+4t/dhYdEdufb+VvprQs6i/o61ACnpVT0rK2Y/Lw/cYbfGfKaXu2UbvnlVT1FNgNUR0wZNkw5ExtOlRk01/qRlf6GhVy3G41TLLdK9B0rNoPMASTMKys6LDth6F0NB1vNEGN/nLBil/kzaNhATmGxoJyrzxsgO+mRtnhDMA4BWmioyA62ldga8MTvq0UQHmrHmMcIKI/sVJeu6etviWg37/A59H5/5uz2NKi5e9aPbGNwdtOqThX6GHKWPdbg60Pg9+mJa+iukwLLxHicEZwWXRQ8y2CHDoirv29RM00wFeKJRdv20q8rs0ViJRIHG8DzVMXYX3hdkNkzGVWSqX61SqIcEfM2nDijF/ebA5P4fwR+WCMFAQG5da1TyM9yvDWJNHSbruMSvMlxdsiJcRDYyiiEgy39bVV2geXnsXhc2rOhiFADbWunBRjncgZb/ioYurXTU2j73iK6/rOFogdmgREsSPWIQhgpnPbJbFCtssh0oXWCiq8WbhctUuZs3mPWcr9xfmfqYUQd4fwmOPxOBDf+73sfVR9OLGeTNuYV0qmvTg+I2MtA1ggUfNQ5havlDvy9fQY7lIMNyhIojGxwP/3nWhobo5Y3VsAYoiZcbk/GWL7TN383GhRLq3nvlV3N1MPbTmgmFEA/uax7zIz2b//ROyDrbpchgWMkZ6wRIIOarl13gGs+WSCCPtFAbrtjl8FG/TJq4iGkE8CU8CiNOHbWFrrso/liXULbwGgyqDA835+2QTgB6C5w5luzhIDQUxN9mYpYom2ddBozqCmdqWgdeA1+duVABAQfL+peX9wrq8yPLF4ZCgg2oS7ye6MOOVrILQ7tgoVOoGbgYxXE4KwkU6YDv7NUtJHyOQG+wI7qGKL+Ws4a7zVaYPG9stpDIBR4SiufRgCM/HDrEO7RyHdm0aUfzgv6G+/lMkXdCqyG/vrUjeIcEVwO138eNPdJY/pTU6OEJFJGgjwXYV9gHVHj5R3rpotSonhCDgZxHb4V2O/yqv2S4xps4/d4vJ8b2YE+vTwwuRGLXvNgFAx+aSpNWOHbZ6LdI1OM+cljzYkBOLPY+765phe9e1HXmDvXANuyJivDOBcEjZ4/p4Po9hMK4RLsmCfQbIgF5f2/v6+mMV8uFnaUqgtxPENTxI9DnNGhjoguQ+l67OzNjhYpNqLgsIVq6SUHP+X6MHnRZuMEwgsABJIGSpFnGNWovUMmGxlXGNNfLdouehP+o29joex8+cfzhYHNmU5khMoSTnuDI2ts175CFoZB/0UA/WXr1kw3jS25B7NsHF08dq7IjqHuHfQ80PSRKb+sZ0Ma1aWuiITCGUErDcDunneoW5V+Wb6LPluwTdD0UIPtKJqt/MyZRTAYuirpKNmwhTGDbIUMr6m+oYDIP0oMYAxMuXWA5XuWbN8XJGDH8DqDDYP5vC716PTXZ4hgyqw7B1EsIAfDEa1H71LQOVEbe3XfRiJgNWltTpDRhgi7XHMuOywQOUN/82iAeWtHgWTIWS0YC5z190p3gYMdbg1ElMBgjmDOs7ot2q3w8yDP61gET/Bs4ivYoW1RI1W8Yg04eHCm4ZwwkFnCC0A3hXBZQxlfLdwmBONOa1NTZO/emLZRUIexb0Vdo25sUDCg1TImN8C9xD4IwdDHRrSlCrGiiHMtsJK9uvqTBYJV9uzI9nTfqa2Eg4oX01rtxnnK+lxBE+VSGKuMMmjk0Db5fdUUscdg/WuF2m2bPst4Zrfs8dPQge35B2niqt0BtbmYD6MctDXkoALmMs7Prr8znjX8DTaJ7/0ROtjGGKEbwnhDTEwNVKD0DTYQ7oLdOHgN2EQItCIgZ7clwpZCMMLLfZPXUYh8/WdYG1uhVgTP1mTvF73N0eZs3NzAsrbGMaj1xb2SA0YQ9oLejFuxM7Tqg9ZHtiHGxrZUJHX9GHeozjfOqhxVqzT0PWdg3/XraTg7l9a10sykgBVW7CoQZR/1qqaIILuXQJtRaFtgLlzVuyHdEIJZeTxBO9jHIbjtEtokgTIGEY1w4IUHfamt+tMy5CiyTBuSM00wcmAYw2iwMmJTkxNFRJQhi+RwlhXYXXDI7KuZZmSw4SiAivivYW3iSjPmAALoqwgQoKbXrtYM1LxuDaoFUZus+mCj9dAJ7etabqBy0ALGFcabDTL+G5R95c852YyROYBhtDo7mB5oZ8Oovwe9uF+TCnRCi+pBWUj5q1FPzufE8CoS7wS8iWF+D3pxiji3v2/pH5B14//Fpgv2gVwf79WZPnR6a8o/UCwYDjwPfOUbpZ71N1VpuFB0RrCK1bJZnGZEh9rUrHoiPfbrqqDPqRkvNbAUrZGnOgRWGWwZyCxAVwC1ZnZCQG7B18T9YHEOVsEVFdCoALUcPeNfmrROCHqx8Y8sWax7hW7de1C0GkKw8c+b+1O80KJmqmjjyPi/75eJ9ej+01pR8xqplJWaJBxw2QC3owoDeB/WcOwzvDt4sSTI4//rjX2jYj1Vq5xEH1zajTIzUykvb79lmx8vYLUnMDAkvN4juCEHOMzPK3TfrxdtpztPbG4qvttR9VEWI9Tgj5QKZx711AjKW2FdTvA+gYAXRAr5e4DLezrrusBtvT6eu4U+X7CVpt4W3K5PBgt7RsqQ5gy27Dg3q55Kt5/YnHYVFtPHMzcJqvygF6eKUppY9Du3AsafEwd2wYNsae/0at/EPBratpYIXJ7Uyr4NJRIjv63IFoH8AU2zzJIUAMErXvu8hLr/wKH8efku17W/G3IPCLaUn8lxOMBOtXJqYWsiWNi9UUbA84jsLbRK7ju1pShriBT5BruEz8NPV3e2/z84pBVdNDaYRcJIMrQwuEe9l5DXkTKQQCq30A72cQz0psbLCZxG9mQDm+loqiGOxeyMt2aKLMXLozqKiCQEMuwy4+zs8CaDxZs3f65Z4Y1oW/5B8bt4Kj+q43Ntv8b0+G+rbeus4aChpYbqYJsCG8oYm5T5kiNiDP7RtxG9NX1TQL0ZO2Ec/edjwZCVN+FwBj6MG4gUsTGmwm6jR/S/b5NMsckjyw5xHCuDD3jxnA507fiFohft94ZidMA5xKK5p4NsJbeTwTX6OrH6INPDYFQs37mPFhiCe15lIvs1yzKNdA4a+Y4fmG2OFrsLiuiub5eJ1jas8g96p5yB4mfYiqIpZ6ytDPRojTyVOsw1cgHfcfiIoNPByMG9gbMz2MO2V/zsvDplg3h9fXXPsH3g8RlWca1eJZmW7ygIUnaVMxSxyGCzccjiZmAQoX0OsnxwdOMFZDQhegT2DTL5UJeHAw5hIn8LuCMOWo35ldC9UOmWA5KhhKPKE2RWkwwej//7YbkICGLfwe+gh4C6ag4IgW0iBzd4j+U9xSrQgf0TX4fv5LUg1L4vE0c4IMjnjefzYMkhcS+R8cSzq7byk/tki+M57AwAOiqykCzkFDFF3GLfhV10Wc2GtHZvkXCwnbQ3iwVM28fm2uR1BIwzL4BAil0wRQU7fyjtYsQiQxpKoBPZY9fHMe459o5d+4rMOcD2ADvY6CTx87JdgpU0fv5WYbM+cFrLgG4QLAT6yuT1UTnYckIKrAFezxGoRTDg3Qu7hOxYYsf0YDZBRcOQ8KpW323P9uMRR8cuo+EpIC727eLtpnMaDtg09xsOKwsM2UHO/O2VDEq1BpvbYizfsY/u/W6ZaHGlAps7aok/NTKG783cLKjhWNCYeom+yXL0mRfGeLfpOiTRqpgSbZV1QI9FgGuIZBRaRNIB1N4kGOPx5O9rhHMt3if1cFR73vL5ICMJZ1aFneLoT8t3iXH2HSvwbx3rVrVlL5zfrT69eG5H4bSBsgXnesLyXfTmtA1BdbvY1CDaYYd4UsR5o5UzLaPemyNqD6GOyhRYfg6ggH9Gez9VNRanKk8br9v/IJiFvph4+b8vcJ4ivoF7wEYH2r0xsOnDcUMAC+9RMwpgZ4A2GCn4O6EDgLYiVs/QS5PXCx0BULJhyMNx3bLnAK3YuU9QU6OF2orHyS2A2BuA80XmxkoQTg44xiKD7V+DfHN59qY9ghL4vz/WUCyxp7BYiDNyQIb3AKgII7ujPtcfX9qNzgxB95aDlf51LfrzhJo5tC/gcEbbr52xt7CY3py6gd6XnDAvccugZqKtIvpDy+BgIOY/5hqyyM/+tY6GvDaDbv1ySUCdMoIbEJ4D++bRoa0DjPEiC4fxwg/mCCaE/Gx/otB/7Zw8puCzg41noXmNKuLnvs9NprPenhX0edVpVTsD2K2B0O7gln7ivRE+VNy2FI46em/LqusQupIRzz7YsNM4UG/nE/FzAbV1ZN29BFS6waBjDRIVGCfZhkSA4vXzOtEHF3ejWOFQSfBARMJc4jUetoi87/x0XW/6/h+9zBaCCJCiXA9sPjjXwOJt/r1TRrRCbxyARaLitdGdgmzmcPMbQWCUVloB4r9ckhmLvt6B7CztYTN0Bvs4BNpHTVufJwRwkNlAlDlUXTUWHxht+Pecd2eL1k1vXtDF8r1wwCB2ccEHcy1rsGF33jyomWj7JUfGVUP6zLdm0vb8IlOgC/VbUHMEpRiLSGpKoljQ6mdUEnVn3CuXjUtZfCkegKjPexd1EZRbFhCDUaFG7EOtPZxNYEV0Vo/FNX15TU/KrJRE9//oa8uiRtz9WX7fz6rjAzEx2RixWwTtIuWoq7m8V6OwlF0GsrBw7pHNgnGoRl7RSxu/e/CnFUGfjStF3JiXMDh5g4ThgIAPO57sGMBBOvW16QGfv6Br+JrCcMDxf1iyQwgZYb7LDq/XQ8HzAiyBH5buEAEp1YctKS0NyGzdNri5MIIRScd43ffDctEeT6X9AugDv2DLfJpsU88eCvjOP1fvNksM7FqKcF02ggVrs/fTJR/5aXGoX787SjEilfbuJNvMtaZYo5DBs6IYQiPBzTHdQhbosQq6xQrj5m0RQbnzu9YTSseB5RW+bCYYO3wWKEkKlRH1Z7AxN71rNYa166aBTQUDBY5U3aqVAlTX3QDZU6xdmanJtGpngVizr+jdiLwGmEBWkJ9PMcaHS81A9MJt/tY8citEWfsDQVzsH1aBBl7vGmRUMpktoQQ15XsDhguOy1lpaEq8fl5nEYTB2olyIPTnvaZPI7rOEDaVnwsrCqsdi0c9p0inCObBkDY1RdAbgccLP5hL1/RtJKjAjetUE3MEgX7YHuGE17wEAtP4ToZVuRCPvZdlRFhHMOaYT7+v2i06e7B9JePZP9ea+iScfOmudJ7wGlZ9yPdF4NjyGg8BWVC7KxvrEYsFMlINBhWehSdGtBWMkUiV9cOB2U5MrVfV3MMxNCAyiDprzljfMKAJ/fP75YLRgvWWg2o+8WDvSs/ktnbiPLV/bUI72MchmJ4H5+fFSetFZvLdi6wdZgAP5sSb+9HPy3fSQz+tDPsAcVQQDgs2U+D2wc3EBt+mVppQ/WQH+7m/1lk62GxYseEKg5sddryXjWxkuvo28Uft2LgsjlFNXKgxgkCYfB0INKgKuqGGjsXfcCzUQKG2iB3TptVTBYWYjQpkNWAUMPhb1Aw24+yOdYTzVie9knBIbCPiNud2autajpxrbD6I8uO+smCVSklC5hH31U6ZM54ONo8n+gbLgDgUBJYAPh1ZnA0G6xnta9M5naN3sHHfH/zRF2iYPKa/4mB7OxY8L5ABe/SX4Bpr3jDNbGSC75ni+i3cG844se4BaMAnt6pB4+f7xOqcBmFUPGf0AKUwQkJMGy9U2nQB6s+xVNGVwcEZbtMFJosMCDLKpRqlMZzLHGT0O6cUU/BcYQOOKeriHCokiGf97LdnG++pYMlKsCuViUWrMZwvHKlonCVcE+4nj3W8jUqV2o19Apm3M96aJZ5tkdmukCCyYrhOrLXyeov1zUrUEYY3L9fvXNhFZMTDOdgB+iqSfgHA9xr0ZTgO7EQg+MoOdrVKScLJ4WwtglR1q6aIADtg14NYPifsbbXSA50jp+jVOFO8kMEW6uXFh4VdBAxpX5v+O6Kt0HsRDnYcKeLqmGOY1XJcfi7EffOoVzOEb6HmzrC78+reJO+hd36zVLCJ/ndmu7DlNW7A8wsJIYwPbAyrEjinxwE7sEuDarYaCmYwt+iwKRiJ0hdcO6+vSP4gsfLY8DYUDdAGDmUUfAtvHNBElAOe++5sMS/D5YxYiR8Aa6VycoUAh50z/dzuNRSlPLq+6drDjsrBvvzyy2nbtkDlX6f44IMPqF696I1Sjeg351TDUHXaroTp4eEeoOpVkmj67QOFoNdd3y4Vv8PmzrRAmYIl0/dkcI0Yi4Whxjpnf5G5aYPCk1tYLOisMvwZ7Pg62AzZOUJk1U2U8IHTWgkDBM4bj7EauecoJihhqVJ9qprBVrNwONwJLWqIc0JQwk60yS6zjduD9gswnq2cn8d/W0UTlmdbGiAqtQmBA4jgcI90BgRksKExPSse4HFSNxsYC98atVVM65eN6FY10zzLWMkbFOavXN4w7I2Z9M01PaNqFWX1XXCa7VgewsE27iPe8uiEVbTaCJZgvFjFtbpRqw8DXp4TeC6hMwBKqht8vcjfikam7KtgB1442Mo1qD9HAqxTvRpl0LtcKuFgfWTHgY0YuefouGt6U9vqlenp39fQX2t2C2cIx49ZBtsYOy/rl920fZSNfLkPNv77r6Ft6LUpG6hX4wyxHoVU+g6giEd/Day4zEHbSCnFADt/DbOqiP0sVmM8Y0MuJVACda5fNeAZs6qdZuV6ACVdCHR/OHsLvT/Lzy4IB7tAgVXm0Opc+POm+nkF/1yEowVHBJD1OWAbQCEeAXTc89Fd6tH1/ZsIUTHfMUtDrt0oYbn3lJYULayy+fw7tn3imcHm60PLNDhMVll8HhsE+P5eszukKJnj73XYB1udK3L5ILQfsMejdMdLBxvrK5xrOLXM2JDbwUbTKQK20StT1ovfsWijny1VIrLYAJxTrPfcQ/5RCJQWlYjPyY63W+D5rpVegc59Z5a4B+Ov6C72fX7uw2WwAzr1lBwW5WzPjWxv7gPYUzGHcHtxrd452PFpWXjcONhwrlu2bElVqgTTRkLhjz/+oOJiP21Yo2zA9SZsEDmteeUHNdTbUbcDVWIoUKL+i4GFFhD1nxKtiKHWLHJ9MUcn0SOaDXsYbC+d29Fy8S+rGmz0Z0QLFHmxsaJBhjLEEEUP6jFpWJhT1+XQn6t203xDXEt13LGJYcw4g4/xwSYC2hAEh27+crGgGz58emt6dKh9pFUeNoi1rdu9X1zHD0t2+hSm29cWx7By3Oyi+2oGm8cAtDugSVZlevLMdlQrLSUu/SZVBWSo6mKzlOnqMgMCmWr5vIF9RcWCwod5G23tG88ZBI4wt0tLE4QDBho26JNeOI3+7/IHFA4dLgmbwZbv05W9G9IF3eqbpQY1DYMeBjai7dAeuO1rX/3nbyt2uXawMXP5SvvY0MMBCLSxxoP6nHvx3LNQDRx+iEY5WR65fg6BLzWDnWb87rbBzcQrVigy6hN5DWTnNNbVMoWH/B0UADlDDWOTf8ZpzN+6V7QAhDFq5WDLcx3X0b5OVSHu44UxiGzXNZ8udLQWwwBFGQUzElRwkLhx9So0c32u6ww2NFBem7qRUiomiA4CdtRaZAJhbCM7XUcagzpVKwkHRnUGYURjf99nONj+TLKzmnPZFpD/v6g4vIN990ktzI4kVurnaLXGDrbaIg3vkwOWpaVHwjKa2KFIkbRIIgHOH/WpXKMqg3/HIqrxFE/l60PA3a7TizyFPeuD7ZB6H5TBluYndEswP9HZwEtAu4X1W9jBtlPCd3KNGOKPZ28WrLvT2tSiLxduD3SwjfsOqvyS7T4WDoD9kR3sJtV9GgPXfrpArGnRqMxj20DNN24lnyMzgsIFBNWkEp7/Ac0ChXBxjbAp2a70AlgjkVD7adlOocHC7Rk1oqCI33vvvdS4sb8fqROceuqpeszLAVjYhB1s0ZpozW7RRw8bt7qIXvPJAlHzzMJiobIJew6UCIVlGEqggzPQc3vBlr30DwvBLUClDXLkkDcN7gutvvf2r5eKKP+DQ1r7+s+mJYua33j1qmQs37VP0N7lyDxa9dx7ckuxALsF+jvKxsuKnQVi8Weo0WxWhJaNLWFwsZhNyRGas2lP2O9lo/OUVjVFz3HGh7N92Ty7Ox9qb1c3BvW9CA54LdDiFPhuOI3Aa1PWi16OalaZ75983mgPcvGH88Rc+/aaXlGdAxuvHE3HfXvm7PY00MjgoK4qlChcRKJuUs05KGRwjqD+joADFHQRqHloSCv61wQ/jRw0uX9+v8x8FkF7BjAs787YJAxB872HDruO5resmUqrDIG0UDRiFp1D4Eit1/SyvMBPTw5/zNPb1hLKu6xOLWdz4hU0yqicKPQp+D6wERXrDHZhcUkARRR7BQPnIN9LPhU7YxEBJlCTMU9hsOPnUG0h3UA1xO2mCqito9+bI84Bgcq/1+aIdfjWE5oJoxoZ8I15Pue2kVGb6naMT25VU6zpXyzcLnQH7BxsdnJV6u85nerSM3+uFeu0muE7WHBIPKuA6WArGwbO945vloqs/v/ObC8+N3H1bjNoBkBQk7F4e754r9W+inG51BC2ZMCwf/ncygHK1jcOaCqcBQRq5fsPRwzlOJi3TMPF9YL2jX/t1hBeo1PCtDGauCqb3py+kQa3qCEy4yr+9csq0WrKCpzBRltDnE+zOKrx+6/P3pZhFpGXa58apLSz9/jXCD5AAKyKQUmW12grtqIXYK0O1t1wCyQJHhzamipWSqbej/8hfjfI0PuRg6OpEkuQ9z3MU3Ws0XEFFG1V0NUNsIciScGH/nT+NsouKDJL1UIlwvA8y8FJu/UE7WtjAazxYH6FEq88HhHRzn/ttddSVpZ7g++GG26I6HMaMcpgG5slIvto3QPMvnNQwHu37jlIi42M85kdfJm8UOs4L8aqUjHacMnOtSygYulghzBK5fciUo51hffgf3pAFfNKjXrO5r306fytAed0VZ9G9NeaHMvP/7JilzAqUc8KGhTGDOJpgNryyqnjEpBNEtlRn/JzqXGuaiacDR+VLReObhrKwAyVgQUdHEJ7UJgFxfGh01uJel/URcUb953Wim7+YnFQP2auP5YNDaYEe+G8+A0p/6DLz1io+sdIAIcaL67ZgvJry5rB7T9A20RbOVa8RzZC7lkuZ/fwrMsUVbRgg9K33bGtAMcKQQXU6cJgs1OHbWhQDuHoyEKKgBfZfigy4/lCwAHPpRMHGVQ+mcb/xBnt6HEYPaWl9OPynfTNvK10cssadF7XekIAEIa7PF5eAA7+cyP9z42XCtyhwMrKvJ/AKX1r2kbh1MChkp1D7iFvZyzivaEEN73NzFmfA+Yunrk66SmUU3iIPl/gK4drWzuNzutanx75eaUIGAONjMCg2zHGnOI1FdoF2INBjUaGST4/ns7q/sgME7XXMJ4N3Adex3mc1c/ju2dtzBPZcdBfQbNFNw8Zcls54MdlO+nczvVoyfZ8ERxAvSgCDwhSQihMBjKuatYV61uPRhnCwZbvBZyl16ZuEOMLNhGPB0RYrVgO6rqIUo4PZm0WGi+4P1Z0fozDOzM2WTrYuH47sLOFtklPndWeysJOw9hgzQBLKKjDSGqyCL5CcRzCe3+vyRF6N2qiJBYaFLwftqudLmwVuaVifWONHjt7i5iTYFRc2tO7/uGybakGmZwA6wzmYyVpzWaxNFmgEkwLCIZtNNTS0aYTbDsZXy3cJrLp2BujKU38bsmOgIw/nk8E8oHuDauF3IdkWv8P1/Y2s+saR6GDPXbsWPr1119pwIAB4tW8uV+dMhTOOeecSL5Ow2OYatUOxIhAkWRHCBTj75bsDJnBdlor9/CQ1rRpzwH6t5EhG2q0RFIz2CpAwcQmA9rqN4u3m/2IwwnnxBpMz1SpjIu3+c6Pgc0GgmOqg4waHowFfnvKHQPNDDUbSLKxgr+Fo/hA4ROGAzICMMawQeBziJAOfmmaeA9EbtToP84PmwiEZ2DkYLx9fVUppCEZ6rarfa3lOTK6S12hzo2IMCLEN36+2JOssFNs3XuAsvcdotoQ1ZHbs0gbFFSH4bxYXaIXyUEWt5M3dlWZ1yugXzRecE5Pf90nYGSleM2Q/4ZxQH211TMKASBZ8ZaDEKi3fXZkB0fnhuf6txv6iqxXKO0CON4Q+MOahLHDHOVsPAwcGJsw1lVFWKe4+pMFwsH/4soeluq5ToFrgLMDZwLUWLzQYgwIJyzpBfAsX9u3cUCWKxbg9oKyuB0cEqxzqB2WRc8YTsuSEAQCmyc9pWJA79lIwA4Z06jtToFrHTG/5FNn4xfZYBjnCH52NTJF+ISVMi+u8+YvFok1DQrmWFc54MA1nQD2MQR0ZMhZMpXijUDtpT0bBGXS3ji/s3KMYKq2/LyhTASip2jpxkBpB86brxfP+XMjO4i9BGOI1m/Ak0b7t38Pa0OT1uaI/eL+01pStwYZYdcTPKdoswWnhtt5wpmQKfzciswOcKghlPafCavEM2+XwT2tTU16/u91ljXM4eqqnVLrYwH5vBCYurpPI0sGAd9b2GYAnFmV0RZVDbbN+/juIGv5yuhOAQGrdrX9QdXHDPG6Xo0yxboQDSCQioCXLGwWqiNBOMhB7Yd+Xhm05yHQ/8VVPenjOVvEHFLFKwFoHLAmQ6QBXuz3skhZYOmFdeBIhhywgkigHTjBgnVKvvZoAAbK29M3Us20FLquf2Nh23p17OPSwYZTPWHCBJo0yacQXb9+fdPZ7tu3L6Wnaw5+eQayKzBM1YcA6t4qOENUKy2ZMisni9rIBkpPzkgMJzzkTKfs0bBa0KYMujp6yw5vV1sY9aDDwcF/fISvrQoi1uxcA171NY0UHLmUKXFW2UdEIe8/rVVIBXEsftxuYYexcHMGG8bOX7f0D/r8Pd8tEwYLhNKQAYJRCoG4jy7tJjKR6IWNhS+cQvXA5tXFa/R7s0WtJIBNBf1Y3QieyHXcKm1Ifi/mC9PhGdziJRRQC4eofrQCKt8v2SkyG8ge8fMAQSBkZ56auNasv4KDjY0XDpNca+6F+JLc95dx4svT/H8PY2hGAtnpgSDX9Z8tpHmb9wo1X1DlcI9gMMstSWTnGnBSFxuKiWKFjBDGgYz/DG/r13ZISKB3pm8U+gCgU9721RKROY/UwZZVrN1kHxC0AA0V+hMyWigt6twIS7qB6uDh2fhHP/syLqw5WCPwEVBgIwUYNwho1JOyZoOaVxcvu2fEjiKOZxrBU9TZn9mxjgh6ofQGtMxoHWxeozEnUxKP2DIkZFo2974F2IiGswkkJlagtKqV6P1LulKpzQKI5wdMJtq813SAQDWG847nTQazYtTz4HNRgec23CPoFxuzcLATKxB20AMlvrY9AIJV3M7rDkNPAesh66lAa0SFrF3BWcCvFm0nPD0oWYBSs/+cE0znEVlPBIKx31gB58znZRVww/qDF99Huz2Irx1DYRUEYW2Xl0d1pFu/WhIw7jK1Hp+F0w8B1kiFrNwAgQuwCKAM7/v+4PdgHNW2UdHSsmVxNVD97Zxi2GMYWwQ3sHdhz2Rgv2R17VDCfG6BYLyqGg5Ghaxf4wRvTtsgAvrXndjSFPzkcVOfQ7V1YPDf/Dcm0gw29lYEiDBVsTbgGjnA4sS2xRoLmxnfHyrZhDZjf6zaTfee3IJGRUCttwJEYH81bLiP524R5SvocqMRoYON+mu8IHY2a9YsmjlzJk2bNo3Gjx9PiYmJ1LlzZ+FsDxw4kNq3b08VyjAKqBEMrudExAyULFBRJq/LpazUJEuDhwUTsNCyuJgdnFLlQMHlaKxV5Bl1sVwbyxQ92VBTM9y8qKDHN5wm1ERe3KMBxQucZVRFcdQFF5F+1Omg7ZhMg+bFlNXTOXo/fX0ujREBjhTTGIBzqdKF4Gggksh0TVMApmIFKij1bRhOHGyryD02FX8bMOv3qw4DnIwOddLFpovIZsB7pe8F1ZKV4hlOgsBnvz1LZC2jzTJyyzoYm6AusjErR6LljNYrozuaGRxxLRQ9mtVMpcfPaEtJNkZbJCIu4SBnGxGZZ8orsg1ssKKHph2u6NVQjBNai0AbALRuzFkY1HImu7pDJxfGDRxjZPqeP8dZxpudSKxRT5/dntrWThcii1w/+tmVPcgt8EywwQTDBmsTbGwrAx81c6jdfG10J6E4D4cBczGUg81CbrEoi0YQ8pvFO4QY3dV9wuujTFixi/7z62rL0iA3uFJR0wdlEkEpGOAQjMOaw6J94QKxu/YVifmIZw0Otps6+HDg5wjrEuaLHdj5x/1kcU6gVc1UmrY+V1BiORAEJxfOhF2bHxbkk2FVImRFVQ7MYEfm0PlrsINtMN5/p6/PMxkgeJ4ZXMIFCvYNA5qK/w8nWsXBwvdnbhIBiTfP7xzgYENr48VzO4g95abPF4m1Xs3cyc4A8PXVPUMGUtkHtlNZlh0yjIeaheRxh8YMAgxwdtDRAu/tY9CPMf+gao45BAquWrIVC2CNxroaKiiFIKh6T7j+OVJ0Nlpgnd62Np1g1CVbAY4URhLt1WCXyA42cP+pLYV+wZvTNkat2h/KgUVZ18w7Brrq2II9CoyJkT0aiqCsLPhpJdbKdenfL90pkh8Xda8vgpJIZsg165GKbPIzAMo/P5d8Hk6efdjnSKaEA5fxqL3no4Fu02WPqNRX0G7r7LPPFi9gx44dwtmePXs2/fDDD/Tiiy9SRkYGffvtt1S7dmBLHo2yBzYJOLHIusLBtorK8sbrtKZDddqePKOtoL6d8NJU4ZwhE7Ep74Co+e5avyp9cll3yt5fZNnO4dcVu8TCDaNLNcrU7BJH+OGsYQEENTGeYFGZqimJ9OCQViJyC8dDXXz+Wr1bLNIF3Q+Lc+RNwaTtKykJrqUCnR9BBYwHDADVweZ7t2h7Ps3evMeMwmJc+P/hM8trdaiWwXLGBGNdIYyhK+iS9auKOlQEYrDZsmCNChhdyA4j2ADVSRVOMtg8LyGKFZWDXRIY2ACwccrXLxsGaq2hF/WtMECHtqtta6R7EflnILMEhW84P+xUQcTQLQuFgyKc7UD93YHiQ0HP5Q0DgmserQAnGWIuoeoh7YD+8wye6/L9jJSWefHYueJZe++iLgHfwUBtJNemQoyGhcZUNK6eavb1hUG2cFt+THqF4tyx3vBagAw1jG/MZdZykLFsR+SCPKEAxwyUY9QwD21bSxiMUJge/f6csHOM5zrPo3C9vHGNd3+7TDCrwgVUnTIT5HPD/YejAOG/N6ZuoDembRT9buVa6VBwc5/lbLnafUEVKbPDR3O2CAYAghOgeqPmGc9CS4u1mPcQnsdsE8DYVzPmeE+zrComnRtZePSN5nWYAQcUc5Cz/egQIQPBu75NDCo87i2osfmhnXa7ez9u7hahEbPaEEaU1+nvl+wQtGqIRT7yi4/6K94jHGyyzGBjDeP1AyUoDbKqUGZmKuXl7feVeyRXNFo0FcfFwQbwvbgVGAOrvVeeX3zvohUFPL9bffFyAg5WYC//Y1W2EO9joB2hrHTvNNgaClblUhgBzDk3wrbyPcfzYRPjMUoi5ptzDMD/P/rLKlPgT6Zn27W+DIcVO32ZfqwzcIKxRjF7EaWDL/69Tgj5WgU8Hvt1lZiX0CxQkxl2z7y61kQD1caNseTHUQVPU8vIVFesWFFksatWrUopKSlUVFRER0JZ8hpxBbKfaBECMQw1Ui3XYQVlsG3odCpgEMkKuogCQ/wBGwSyhMhQMRBV/3LhNhrz5RKzFZAMbJCIjjIFCpH/Gz5bKLJUqpHEUT7uP+tlayM3CzYCEaBEX9S9geXiwxs4qDSy4cCZVM4svnxuR7HJ3yq19eFrvP3rJbRWoYWxPQS6FOjzjCd+Xy3o41YZbKuI8jszNlKvZyaJyDgDGxcWfoiJ2G3eEI9584IuIjME9XE41zgXqI8j66MGDXqG6APsJNLNdUZWZQ2RZLXQ4ozP6amJawTl9zqDXisb3MisyVmeWCk0c7s1rx1sGDygrG7d67co1AA5xp8zX+3rpFv2bGaHkuc3M0rWZO+np89qJ4ItyGY7pVkztTTSft9wtDbmFpriN8hOwAFwC27Dg2eNBQvtbjFToPHsskNhFVTCmvTl1b3oq6t60pV9fNneWEwbXoNSDbEhCFFd8MFc0erJCl7oVnyxYBv99/fVNG+Lf+/g4AYCiW9N3yT+v8S4YHwnMpIwTK1QwOJdhiEYLrCHwPCMjXki6x0OoFCC7hxq7bFaf05tU1Oo8nKWSRaQgnH94azNYp2zCgyGus9qraTaAgrjeNeJzem2E5o5piTjHLFf5hoBMOxF953ainpbtL27vr9vfZOzpD8s3UUj3pxJI9/20ZJltsafa3ab2VIEIa0CGlgP5PUq3eZ5hgN82KJDiBXsgjEQR0MZE39edjbR/QCO0HN/ofZaFkUNPhafL2jD/HerhAKzEawoxLEAnCpQ6PmUrUwavubmNaqIUg0vbR+s5XCcUXpmBSQ+ZHaAFRMBzxIcf+wDj/++mnYb+0ak4P0G+7AMuxahdmC7FseRhWnl54L3YYyDHRsFto3cySLSDDazvno3zhSaJeMu6y66ajAQyLKjn4Py/cvyXY56tHMZmqqL420fbO1ie5LBPnz4MM2fP5/+/vtv8Vq5cqWIuLVt21ZQxG+//Xbq1q0bJSVpRbvyAmyQoAViYenRqBqt2rWf5m22b9+EOpqzOkCspppwmG76fDHVrZZCn15uTb8ENRuvW79aTNPW54kFEYsZMjiInqGn8I78g7Qh94CIftq1EUHbsCWGejmoSJf0aCAcSzgH2OBkw7134wyzr6YsohJP4PxOalXDrEPk8wtF7y212OR5sYdBhBfq/Bjjr+hBo96bLRgA7JAw2ABTf8+BEWwaV/RqFOBMYS6ohoSIlCvnCWMXWQcz8xDGGEK2Y1TnujRr4x7x/5g/qoAPmBPYjF6c5BN9CtU32+577GoTI2lZB2P2xXM70jMT14jWOdisWKGXjRjUH14wdm6AwcdlDNFgc24hzVyVLehhcGgBH7OhVDi3bWp7p2mx3zDiua8roArm4fp4jwS75YVzOtLPy3fSQz/5M0EzN/rWDGRjZa0GiOnlFBaLYIsbQOQPsKuLDQc41td/tijgdwgkcu2oU7CDh7WKx8UuC8kq4FPW+YKVDTMq2QYIwEBBkAqieqGOGQ3YwOJ7y36F3Xc5zYqGAgxMOLlwXllHA8EqBk8tVqRGICYU3bfAWL/81xA6g13dKGuC0m84YC7ghf0HgVqwhawE+OA8Yp9CgMB37iW0cGu+2cJPLk/CGgYnCICOg9pRKdR9xrOO8+E1MNjBrug4k6gGTZy0bMJ6ziwW0Pqf+H2NaMfF66pcRsKBJHao0PECzgccu7W7CwMCXWb/XqVFG/8dzgALXwF8qtjDWVTViYMti9bhrK18Bqx3cmxCHRc4Aye2qCH2adY9AdDNAG0/X7nUb+fwfhAvBxvlHjKV12ou8eVg/0ew+bTWNalNlEJirM/zxcJtgoUHoUQrLYd7v19m2mh2mhzD2tUWr57PTBIBz1enbBB93yMFZ4jloBCvfU5j7ZgDfA8zU5Pp0eFt6KbPFplleXKdNdYf9MJGxheilAgMQRmdgWeeE1OPDm0d0KrSKXA+bP8NlPpWq4ESu+eA54WTIBzbS05srMgp4p4d+qhHRNbMzz//LFTEp0yZQvn5+VSjRg3q168fXX311cKxrl7dvm5Do2xhZopSEoWTC/ErBpxgFVCUxosVsREpDKfuKS9SiCSj/U6rmmnCsAK1DoYENnPUC2MTsVLrlOtp4OQjINAos4rIrIqN2/g76uJeHtUpiLIUaSQxUsB4xouBHsGTxvQPEsUIWHvEwmicr7EqcQbeChgDGPBY7FWniH/kdhIMNvixCPLiynWgV3w8n8Zf0T2gB7VVHZsbpwfRXmTQ8UJbEeDbJTsEVRGBF+Ct6RuFsWYXRXViHPJ7onUR5Aw2jEEW5cJmxpkP3ovQ3Iw3ORggEASD8RAt/lq5ix78dqmg1f/PaAHC9xNiIdEKudk5kAy1dm3srC1mxovHgFuVAX2bZNIdg31CSKiX/n1ltqgBY0ejepUkYbDDCQcL4yQHbVT2GQ4YZy7dwiobGwldTw5AsMFi5yNxppbbGKIGPBwSjBkbCxuE6fXMIOLn3a421YsMNjtEcjZWpmry+nfdeF/wQ6UUq2CHguenv3uB9TXwr8N1VZCBtRCBWjnIJAM0fryQvcP5/roim1421N/la/Kdn6xpYX9+bIxDORzvg3AbskmyU+3F/VAdbOz3GDs4y6H2lnM61xNlO/w5zB2olMs6DHAC0KIIDhfT/VHideHYueZ7cD2y/ocK2A+ycw2AVYASBggl5VmwTsI52HjumlY/TPUlVXaGvLQ9N7J9UEAZa99jhnDqeVIJA7DUCDYwOODgJaPIDnD8C5VymQVb91qUKPn3QTD+0GLu7E6hexGDaYGkB5ZHleqO7x388jQxj7DOy9+hQr4tyO7aleWxgKsXwQkO3oCZAbvlrm997Bwn2Vv/ORSbY4b50LVBBrWplUbzDdFcVcwzNTlR2FxgCKlBJ/ln0LfxXrfAWEP1HY56CylrDdE9XO893y8TwQn7+2A42A7IYn7Bv9g52DqD7UdE1syzzz5LOTk5dOWVV9LJJ58sMtZuBAY0yg68uCAaG0QNDePYhKPrqUrl5703mzbvOSiOi7pkjgCz4VsxwFAJ/DyLdQGZhvEm9/SEsYAopkpB5Z+97h3sFjC8wqksy6PYsW66qO2DoxIKbCyrySc29NQNjJ1jpqADyLSDVgRs31sU6GBbfCc2T9xzFmeyyho/9NMK0TNZ3pzk64fSLDvYn83fJjZ41GfKwN8RMHGimsl0WIhMXdM3vKCTHXjzZ2eJNyBsaJzR4DFXe1N386hX924jKyQ7KRzEuvSjefTnzcGq8ZGCHUg5C6eONmqh8RLntv8QPT1xTYBwGdovNTGEvECJxksu8UAgCOyViat3C5rbSQ7Oi+dtpBlsK+dB7XvsBDh3CLhhfH4wrslutRs319fTmeEkc4R2e2Dk1EpPjh1F3GH21wuHjp93WdxRrn/nDDMMWDxP6Crw0qT11DirclB3AdnBZjomX4PdPZD3LDgOodYOUFrhiPP2FW4bQ7ANDrbsXKtq/7JRa2UAy785r0s98dygTprHn2m1V/VuaAqJMeDIQcsDGdr2FhoAoTNUR8wsIwz3fw1rTUPbhg4GYu8sMeYQAmvqHopgJN7TSKqrluubUf7la/3l+5xVSyMrFWZk0vs3yxL2AZd1YD9EaRnGx84Z4O9BIAAMOxn9mmaKNQgsganr8xxl+BDIl2uG1aA/MzNiITqpAjYSxwf/75QWIiHx/F/rgu4hT39okTBCtV0EsK4hyIESHlbEl9cQPFN4oaUcYPeYsB34/MgO1Ldppu34/tdo58a2RzRAEgh7CgJH7Fy7DXrkGWsW5huvF9xqEMC+JZew8F6JvTM9JdA+QyIFHSuQEZaZO26BsQM9HEDJDZ7ZmwY0EcFpZjXi2bAK6MssBscBOJ3BjgsismZatWpFEydOpLfffpsWLlwo1MLd9MPWKDvIhqz6QFplDhGRFhFwo31UOEcctd2gFnVvUC2gPyo7jqjBgTqrmq1S6TA9G/vohqCgQWEYVESuxYYRAWrdpDEDgr7f3ARj0NooFFCzi/E7obmvBYsd5OCEbDegrk+u7bMCMr9cb6ZmbDgIIeOn63qL8yIjuo37gFrp/4rgxxzhRKkBCj4/LOqgOyGzjrHGcVBaYLUps2GsRn6tDCz5O35evkv8i0g5+pki8xluDCJtC2eHszvWpZ6NMqllzbQAA1UW22IauBpYWrlrv5i3MnMhEnBdmuxgsxggIucwJiJ1PJ1ksENtzLi+8fN9Kv4MqK6qGNauFj322yrxfsx/np5O7w87VhyEcwvr9inu1wCwBdCvmMXL3NC5YaCHAxTGY9XChLOhEO5xkv2VHQir9kVOwLW+8tyVA2vVU1MCnG6UGcHxwTpi5WDzNfB8R8b3lVEdbWv5+dLgGCEDGopR8vDPK0Tmmpk18rhAMGvOpj1ibeS5Y5WBBeTfy8+O1TCjbIBx85eLha4Ds6sQvGL1fiv2A0p4UPYA6vSvN/YlJ1AzVGYJlk16a+q6XHp35iaRzeMADa+DHKDiDgHsxMjXzGs8MoHfXtMrQLDJ6p6pzym+p8gYD7Db7v+RW34lmGtxuAy2VR9kMBBy96M0DYyBUpOBh/klC9Rh3uPwVnR2tYSC57CckY0V5Ow1O/Tq/mqX7AjFAEPAYrOhjM9lPVa1ydj/+XrtEip8X3ziqfZrR2Xp/uC+RIN7T/GtnTM25JpdP9zWYLNQH3cCmLt5T4DmDGuvMFKN9fSmLxaLsgEZ578/l/68uZ/4/x+W+mytaNsJogwDe/8ew1bnLDlKVqxavMoshnCAICwECqPtRy7j0h4NaFTneqJdG0o7ucxNI0IH+5VXXqG8vDyaPHmyqL1+9dVX6fHHHxeq4tyeS/fDLt8ONmpz1QSG1QKOXpigzjwxoi01NKiqoczNbfkHacaGPOE8cxZazpYh68N9j2WKnkrpRg/b327sKxx7ONfckxiQN8Iz35oprum9i7oK4xWOAwwSzuLEC2hFgc0LtYjsYEPdEQ7S3Sc3t+zJ69Y1/Nkw+AF1Q3v49Nb0l9Q7GYCipBxVxUaiClOoRhDfhnM616XbDRowwI66na9hZcTbURLV/b9O1ZSIF2U31FArDFGy6Dy32KhBf192nNTzRgTdri95JA62nAV86qx2YvPmLBQoZLGqwcYzAwMZWgYTVvh7kkNgqWrlxIDaayA5MXjM8QxykAxqsSY92aFzCsMbz02kvavZGIaDfs9JLeiBn1ZEXSZiZk8dXMJHl3QTWdmyAoxglGHA0ayV5htDk+Ju8xk50+wvVnEOOFz8nMj3TRYNqmGcC9PGeY7YOQHndq4netoiMwSkJieG7HGLsg2G2h9XBdPTOdgrnwLEsHidg+PwtFHuYIUkaf6Ha3uIDBkyuwgSY39AyRTw7oVdxNqFMh08KlbqwJHoTKgZKpn1ZYX8omIz4C1DKFfz9Vb0OdjQq/jfH2sCzgc1uDj2U0ZpC4CAI7J6VpCDrvjfdy7oLDKq0DOQnS9k3CGshrpiq70czzb6ztupU6NNHbeq+3S+j2ny9oxNZvCSdS1QUjX6vTnCZmCRMPNclTHDPoDMcrRtsJyAHUY8S7v22c/rBhb961Gq8/Fl3S3fD6VvriFmZ1oGO93YD8IxYPjX4TKnsh1gJRQWCURveQNoqca2qRNAK2LymP5UZFzYzxL7Cq2uYMPJkOef1VzDs1ZwqEQkIBCMcutgXzR2rhgjMBgR4GWB0+f/Witaup7RoY5gHOJZxrqpPst8f5ysE3LJp1fAGpdesYKpv6ThR8SzPTMzk84880zxgko4MtlwtidNmkSff/65UBTnftigklepEp3arxvgPJBd37lzJ3Xo0IHuvPNOql8/ejGiYwF+MSH/AhoKh6WH1y+aY/9+ptNy43m1TkV26FCXTeRb3GQlRgbXS6kLh7zAcG0MnxsMlRNaOIv2ewnOeMrBBCyKyMxd17+xaYAigwxRIDUyjIjlmuwCkcG1y4TJG5msjApYtagATVA2ouXPs2DPT8t2BiiD8zlxraj/s85qIe2MKbm+Xz3GCS1qBNRw5x04RB3rVg3ZdmNE+9rCMAtHh3MLHldmQMjGQbg2KdFSxJHBN48r+YZeljtgDuC2pEq1Yk+c4atBBNjBBg0PAku4ZnawEZTDXLFiaOQUHjIdXGSUTKqqw1MHgwGvSCFrL3BGK5IabBjtqOcDIwQsnAbVKgmhNytw27wHT2vlOCMAA4mFlyJVTLcC1vJHh7axeWatPwNaLgzeutUqOVaptpq3WNNl0SEcF/cfBiELwWF9A1gQyK4uHM6o3GkiHOTDqDWrdvojGYp4oQzcd6ZtYy5zQBpGL+bTyE51Ahgc8tZktxTIHQEYqH3lfRHXgE4aCHqiCwPPC3/22fm9QbAMwQlmqIQ7RmUbWiveD6E3BMqxD9/wuU8ECm3+cF9hpINKC+Aed5HKZVKTE4XquhVkmwPniKw+9nDMizfO72z+7brxC+n18zrbsoPQwog7k3yzeLsI3I/qUk84WwBo/QmG+OiwtrXpJYnmn7O/OGhtxXyVg4tiDJS9BZ1BLrL2Wz0H1xRjjqDjiB1QcnB1n0b0jhE8AEI9y9ztANhzIPh5YbsAz4FZEmhzLL+4Vuhrke0AZM/DlcHZwbRNEhJo5U5/xvnyXg1dHwu2RZqxT8hsLtl+s7JdmlavLJxzJJHuNrqzjJu3xUxkON1zwKTwdXXxtf0S52HsyWxz4HmDyBxYOdhjsK8lhBkXjfIFT8JJcKa7du0qXrfddhtt3ryZPvjgA/ryyy9p3rx5NGLECGrcOPI6STdAH+5bb72V7r//furYsSO9/vrrdPnll4u+3JUqxT7yWB6BDRGLIR5cWeRMddLsPqu2eLIzjsTfLKwMuW0XO9jYvGHAc6YAVHA7yA42jBXQ3fYUFtNDP68wqaVOjRCcn0pHx2dlOlooipXVe7HAcR9sebHGtcJWkx0kiLlwlE/eCKFEjCwKRKH+M7xt2HFQGX++uvSEgGt7b9Zm6iIJj3C2F/RwhkwLBJCFA2Ub/XxBm4KxhuBAOMEnSwdbOsnzu9a3fC9af/WXFMZv/HyREE4ad1k3k7ZtBX+tvTNqGOiOpRZzYfnOfWJjw33BBoaMG7LWGBfMLWR3kPmHwRhOxChS7Np3MCgLKNcdunGwQ70Xt/+zK3u4EiGRN23Qy9DiSK7ZZywwBGLM/usOyknYIRYUzYRgg9YNeK5h/nPQxSqDjXvun8ulQQYRSikg0Id6WaYjhpqDmCdOqOGycNI1ny4UWbQvr+pp+R55DZKpq1Zrlwx1DMGIAH3Pjs2D+2h1L53MKVw7nGacX7PqVQLmCc7x3E51BQWag0bMnDCv0eEchGYIGE8YA6vMEGq7keX09VA/7Iy9ZZHBZme6efVUkW0G0Mcbv0NgCYY3nA/Q2uW9Rr7u4BWGzI4ZKnD9cqYfrcb4HE0H25i/btTe4WTixeBj2GW3rHRC4FCc0rqWsBdOaV1TUKLfv7irMO4v/3i+eM8jQ1uLenq0gQOTAYHRf01YKQI2rzhk28BxZ7ryRd3r09jZ/vaSqL8OtQ/D8Z54Uz/aVVAkVMlx7+V5ijp3PEcYi8t6NaRx87aaGW9uNQbwZzCfr+zdMIApZ1fi5AQYd35UExQau9VeFLSuFB0W9wx10FbMQhnqvQ1l1m0xxhvA/qZmRCHsB6AszBRkDCNyFi44JwvLfTxnKz1xRniauNVah9akN32xSJRTOMnW4rxxf/GsIWCNf30dMnxlTFYJIKvnAW3usNahnAN7C5zzwS1rmPbWezM3B9na6pgI0VTjnGG7nv/BHDH2ULAHwDriQK6aNEDwEn3t7fDHTf3Ed8q2p5OxUR1yq/1Q3lPs9p/7f1guAoZ4fjCueEckAVt+bnzJvGMjWOCJg71t2zaaO3cuzZkzRzjUa9asEU43HNz+/fsLlfF44bXXXqOzzjqLRo8eLX7+3//+R4MHD6bvv//e/N3xBNBPL/5wHnWoW5WeObu96OHbvWE1YVipc1h2xlSHGYtw5eQK4j2haD5WBrWcteaNhjc21NihDze3t7ICL0zIqqE/IJBbeIimb/AZJXx+4YDPXPLhvCAqIfr2chb115W7giixMv49rI3pIGMz4h7TjDSLbL288eP6cQwVvHCFUnrlcYAaKhxCFdgcig/7DdkJy3eJntSg2+Ga+MihDDYYsXg98ONyemXKBvE7UJfCtfyx+j026VdHdxRGQiuJdiW/VzW0URcFB9uKviZ/niP8Tp3Pyz6eF9BORgYM6B+u7R3QVgSOFqtiw1iDg42NGG2zZkn94j3wr6lJ9VTanHsgoI4e85ThNIgADHpxim3Gsk+TTHrp3I5Bmxc2+ms/XRDQxxQZIvQ2rpWWIpTNkblC1B4GGvd4l3Fii+o0ft5WswY2HEUcvwdd9qelO8UYntmhNj04JPL2LXAiUSv/6bytIptz54nNheMnA44aKHdcY43rPeOtwH6/DDuF6cBr8P375B+r6dTWtei8rn7Hxg5+2mWp7Rp18dh5wjnlekAW8YOBedFY/7xQcVnPhnTLIL9QFjKLY2z6TcvfB4Mf77UKcKBEiBk3ssEH/Qtkqn+/sa+ZyZbXvbtPbhHwO3Vdswu8oI4RayFqtFHiAufiv7+vEXuOlYMNg25ou1qi/U8oJeF1OftN2i0cbARqZSOd642xNvKp8fOAjDof26qu/7XzO1HpkVLLfdHOOXpl8npRhqNCVhWPJIOtItwxZIYT8J9hbYR9UCPNn7WDQ4ESHh4P7hHP2T5Q7yevyxG954XTnHdABAwQoBho9Iq3AsaGx3pkp7pBvczDOVGo08dLFXbDNfP8em3KenpkaJuA6+cAilxPjTl7Xtf6dHKrmnT66zPE76zYUXLNth3QmnLsrM3m2DfJqkyfX9nT0V4ERwV7ERgBP1/XWzh2CMjJ3y+v35gv8vUAoZwTZpIw0K7uLaOlIoJBv67w6aLg+cP1wz5TKdMMJAPw7OM5DQXZaXUqRrY9/yCd/fZsy7/hmv81tA1d//kiwWRDkBwUf1W/ZcxXS8SeZQUITY4Z3IwyMwPPzyqDDRwqKQ2aEwgiFxsWAJJIvL5gLZHZd7Af3pmx0RQr3V/s16tBhxXg9La1zfumBnbkRIUV3DjW3y2Gls4q8VzCH5Dn1S1fLjbbbzKu6dPIZJZtzD0QpLTPSDDWYsx9uRuKG+Dc0Ct9ypj+nrSQPGodbDjQs2bNEk41Xtu3bxe/b9KkiXCokUHu06cPpaV5V0jvBMXFxcLBP++888zfJScnU/fu3WnGjBnHpYMN5VY8zByZhKPDzg7qbSD4AqMU77GqY+FNAs84+oPyYmwHK7tJXvA5as+OES9uoRZeq96e6ubH74ERAEVr/PjaeX7KGYDFNlydXjSAqrR1MOFwgAgcovbIBMobF7esCmVMcVQQ42kVIcRYyiri/P1MN+YMdignniEb26miTYXvuHburHrbkZXGgov+xOtz8sWCydky+b1QyYW6L9SV5Wi3FX2NgXNhgbRwWatwwIjcOLBpEB1ddvDZWENQA9kZzFVQGu/8ZqknFPHL+zahrbmFtrV9sVbEf33qBrPVFEOUNoxfJAJy/zylpcgSojWPXVYJ2VL0aWfwXLNzpGZv3BOgPB4tUpMTacygpmItQy9fBKFUKiJYInDeJq/NCWn4w/nqZkNxlcH3Htl7zBdHDrb5Weu/IwDAznWsgZ7cbMR+dVXPIDouDG7VubYy7pwYeB3qptNfa3x7kN28wDx/4rfVIovy+ZU9CM3dTNZUiOeMjWI7oSN8F+sZAJjLU28bGPAeriXH/sDnxjXbyHyChouArkwvZvRpkkUlNs+o3VmDjty8RjB7QO57HE6gzAnMY9gYrLJzgUCCqkkhA8YzZ/uxB8lrJuuqoN0e1nzUakMTwOo5g+o0elI8/ttqwfACcDw4STJu/mKRUHxGa7B+EssJx8YeCuMf6uE8/1jAUe4esK/oMGUXFAUED0G5XrFrH/VrkiV0WwC+FuxZCBph3qVXCZzXCLq+8NdaMUa3DGomnlWwvWT7BgFI1I57Aaypsi4HgDi8LIEBfRrudsCwsyHA6NkqZbABrF0IMuD64aCOGdSMNuYVUo+GGeK6VHV2GVzjHg7y+dg9o2CJYT/AOoGWcaEABw7UeAQgwDi47KP5dFWfRnSDVGKEa7JzrvEoIODGzB4WO0MA2q4sDWVrQJJk34lnynhccSy+NuwxXP0DxxXONcogYLdgrsKOht4A1hV04EirlCiYRgxVtA/fM2tjngjyQfw3NYJWYAxM1VKL9Xfelr1BzrUb4J5wBj7SNl0ntaohkhhuNCfKOyK6UzfccANt2rRJ1GFDzOymm24SjjVEzsoSaB1WVFREdeoE0ilq165NS5YsoeMRHHDHg6wCBuiVvRsJmis2TyvBKDZsnNDJxfcpD5cqesAL2N9rc0Rk7+0Luvho3yGcPjay5EVBptfJRggebiwWVpsMBFkA0D9vMJRk1WOd2qomDWxmb3zL7x3YLMtUkGRDL1QwgZWJ/1y9m24f3Ey0pOL3cwY7lIMdrq+tGvnkDB4773wPU6T32YmEcZ9xAMwF0+a3WTxBeUX5Afo4guqMCDjw5cJtQjX4thOamQ72Bxd3pW8X7xAGCwwfGDwsqMZGFrfSsILs5GEMneDdC7taixAhG2OxqWZJxp76ORiloKb6/kYRAZlBAFH0E1rXpK51etIRG/qvGwcbdDE72G1coHfagecjfxYBHFDc2Cixw9W9G9GVvRrazmdQO7kdz4vndvSmJ7MxZzC9rVTXoSqMzBpa+AAI6sjPLwMBKATKrv5kgciOPH1W+wADXzYqMI/FscPQOBnmZYahXYKt8+b5nQMCiXh+rM5XPm8ZyOjtLCgSX2XVS/2Plb4aWrvMLNdLgwIPJe9oAOVm2cG2CtSglR+cayiSNzacfX9rSOvjiiDA2tyQwTbMXbTdQSDp8RFtg54D+fl+adI66mvca5wD7isYD3CG0SoJgahTW4fv684IZWzifiHADWYCaMvYn2CIRyNyBofr7embqH3ddMHiQFeLbEHVtxYPlOmxyMLBCUMA0dcG0/83PAfTjGALZ+plthbGB7WkWMK4FaidCjuYD8Cg5rmixpRrXNWAGK4fgQ+Vlrpw617Rloq7O3DnAf5elfFzzScLgs4BdF+8LjbYOHJgnM9DDWxgjcKpQJ8DTvQXC7aJLKAcRGA2B/axr672Za3VYLjdXgS4ZcbKh0FpE1gEdmspSl9w/rjPHeulmw4VAnq8PoCq7zsP75wcmZllxzLB3IFKNuYeHGyov1utdXgWeF7iHM3yGWU9wf3846a+og0pyt7wObzke8H3l+exWsbC+H1ltmBZqvafbBPLz4q8luJz/EzLc+ytCzrb0qhhPyHYzqUMuEasjViLPrm8O7WokRiwxoPhg0PheQ+lW8PjJz4ni7wQmWsoGAE4jtWeAhvPbv+B7fu1sRdGmnNIS0kMGfg+bhzs6667TvS+bteuXbniyu/f7zMU1VprZLEPHAiug3KKRJsWIeUB6E+7rWAHda6bTq0tnA3eI7CR2l3HQWNBgLH40NDWgcqoxnOYnFTB0TjAYcOn+RnDhi1/jjOV4r0Q+gljqPN3M70JWcOHh7YOakuVkuK7vnRjcxS10QmBCwS3D+nWKIMybFpp4RiVQjOeHL+XFzuwi3gMeGFDvfXIznWF2BzAy11KUuB94l7h+JcXx/t+XE4/Xd8nKLqt9ueEeBEYDFC39B0jwTdGiriS/H1P/b6avl603ezDDOD9iNwOal5dONBW8+CB04PpvYjQwrkGQP+7vE8j8f+t66RTr31FwsEW31/RP7cyjb65yOTYzjdjfsKROs+CrsyYuSGPvlq4TUThL5IixKHw24pd9Nyfa6l7owwh/vV/3y8XTo96LvwzDGi36wM+A5o5HOe7Tm0p5mhSYkU6nOAfc1Ye5oxMqO84/73ZQmn2xVEdAwTrnEJdwpENgAH4/szN4r7juytIQZkqlezXEka4vx8w5irmqN2z6BZrjd7deE4mrcsV69DJkjPEQmy10iuZ55ccwiBBsBDGfQLqoC2u55FhbUwHG99l9R75+SXpPUds3o/vAjAn1HHBZp1iQ2G0wvZ9RSJDjbV/6u2BGVsB6esPW5xP5eSKorc3ggtR3yNj+sDxe+j01sIglb8Pxi0Cj5xJSjLuC6/9qFq1Gq8V2fvN+mWcq9V7Ppq9mQ6WHKZPruhOTS1qzrEmI5MJBXase7x39WmaKerwYeOgxRMbyfwdfE8xB+DUDW9XW/TODrjsEM4x6NlXGGviTZ8tEv8iC8bHb1ojlW45oakwuJ2uMcjigsHB+/0dClVfBe+XADKXyAhi/YezNk5ipMAJQ+kOUD3Ndz54fXRZN8FCQr9e1EID+5l2HcZmuPXE5tQoq4qgGuN96thhLxRAHah0HGZpQS8Dv8805iYCvPhZdpNgB4QKgqLrCZc9qOeqPruc8URbseIjvnmydOc+OlFaY4qM/b121RTbZ6ZqhPYkWkRVUp5/nl/ooXxet3p059dLxbqlXgv2nA0GPbxNnTR6aXQnOvmlaWKfxVoJ5pha54tsPPYg0Nahv2FVXoJBQDAzFCvupNY16dbBzeiFv9YJB9pqTnBwDMENJ2szgzPKuBfqcbOSKlJWCPq6eV8NewiOsNW5dW1YjQa1qC6cyK4NM8z3dEarWCNoiDIzrsk+Is3XVUZrWax7lR1Sua/u15iu6tuIuv3vb/EzPsdZbfXelpSWmjTzu09pEXadMFmNik0D2joAZoCtbRxm/2GWDOzuSH2mRA99LfX5PWoc7FGjRpn/X1BQEJIKDmp2y5YtqXr12Ecm4EgDJSWBkSj8XLlyZC1U4DBmZjrLkpUFflm5kn5ctJ0ePbM99WkVTO+qXMUwDJIrBl0HDPdVO/fRFklZMr2qT+yJcVqHOiJL0LRuBhUnVqRhL0wRjvGM/zs5KPuJ4/1zRHvx+nTWJvrnV4uFhy9/b6cE/7GrpldyNLZdU5LpvSt60pXvzxZU99T0ypQllG99CwWc9lrV04RDWyXdHyFNSYUCsN+AePOKnpR/oITqZ1Z2VbcSKdI4Eo7WYcZ1JkqqrdWqpVI1I1BQ0fh9GmhhFmNStWplevPyHtT3iYkigl45rRJlKi06hrSvQx/P9NPTamemUk3DoIRB+8ZlPYXRnC4toKBlDWhdiy7s5TP0KLFigHMtjlMjjZrXTKOTOrpT4t9YEJjVk69rZK9UWrJrP70zZT1Vqey/5rrGv2iXc/fwdpbZm/2GtY6FM9T82bFsF/26IpsSk4Lnvh0SU5KE0mr+oSNUNd03vgnG98zdmEtXvDebmtVMo4+u7kVX9GsiglFu1wcY45yVblKnmnl/A87D2BTqZ1SmgS1rhPyO/IOHBUU5K6NKRGvV0M71RKCOkZScaGbPUo35eKiif97WrpEelSAZUGKsA9WrVvZsfR3zxV/iX2RB7/5mqTD8RvXxM1XYQWhat5qj7+RntUqVlLDvr5cZeuz5/mYUlvgpsRbvr1LFp44LBzPacSmApWNkFKyOlZLiXxsrWaw7F/ZvJl6R9shWnys2mnu3Du5VvXmLn5743/O6mEJfhcY8sbuGKsb+1rtpFj0y0lpc68dlu2jFjn3Ur3VtcQy0j7x53DwRRHrj0h5iv/vvuZ3o/DdnCOOwc5MsGlFwiLo3q0FZWT7bZqOhMI2yKvU8nvxttXAchnVpQJmZgY5I2l7/3vrEOR3phd9Xi/0UyJDmfnWjfvRwRf99x7+dmrnTr6nGdagO7Ra857fbB9H3C7fRixPXCOcaSE7271lA4zr+66iT4T/vAZmpNKCdr5acHYxiY31Ok9Z1y++Gk22sf0BCUuCezP3c1bm5x8hUN6qN57gKNajpO7eC4iPifblGvSwAZydUWjgrvRKd1KYWdahX1fZc+dmtnuG7t/M27xWf4QCP/LkKyb75WDXMtbsBAi3rob/Qt0nQMStV9u3lyckVqUmdqjS8U13BJpDf9+2CrWLePXd+F7piQDNqUyddBCXa1atKM9fnioAy8OTvq+mbm/pTK6OF2buzt9BLE9eIfe6RM/31uowRb8wUlPNvb+pPnRuGFno8rVM94WAjCWA1LoeMOVPT5R6G/QlIVOarG3Ru4vNNalWztkfxu7HXBPsvY6/pY9q5tapVpptObiXslSZ1q5lzd+kun4PdrXGWq/NjPQGgZlaacbwiSq4cuBfJWfeszDRh34UC1hyr9eG+M9rTtYNbiuBZZgg9pFBIT61k7pt213qo5Ajd++Ui6t44ky6RSgzWZhfQ2GkbqEujDBrZ1VkyxClU2yqeiNrLgGr4Y489JmjYMuB4P/300/Tpp5/ShAkT4uJg16xZU4irgSouAz9H+v2gnuTnWwtSlAccNuhQ+wsPUV5eMNVzX4FvMz98+EjQ31H7OuLV6QG/y8ktCKCZXN/XcLyQjS4qNnv2rt++J0D1GJm/e79dRo+d0ZaGtqtNW3b7DMUpa3YHfG8Vg1qJbEXJoRLLc7ZC+xr+h2R/wQHKO3JYUNVQJ/faeZ3oQMFBQnwWxiACaaBC7cjeR0ekjDke/0opFai4sIjyCv0GQ6zw2LDWlJDQRmQq+DqLpRqkvD376UiRET01anxKigPHBE4kFoj8/ANU6cgRM6iwz/hZxoDGGQEO9u69hXTIyNrBxji4/yAd3E9UrLSzeeKn5XR6S9/zccBCXEyMV557AxvfJ4Ov640pG8T55BqBnUNFxebf6qf5xgOR8+krdlD7usEZ2VwjEg/qVG5uga3xv3uv7304otN5dtC4D9n5B+iAMUeKjHmau+eAyJLkFx6ikgOH6NaBPufN6bEt67uLDiH6Ie4vnlGVWvqf4W2E4E2o7ygo8h2v5KD1GhAOw1rVoPRRHYUg0PIdBTR2+gaRkRLHNK4dTzqEqxCowdwLB9BJf1nuawE3WlKQl+cmAM3RSM45FEAxBp0OmzkfGwGDXKPOIfnIYUffecS4H/kFBy3fD3bO8+d2oLembaRHhrayfI/8/OL+Fuw7YBpQVu/HdwGlNn93g32GOj0cSatjFRhrA7A7r5DypHY0XmPVVp8DvWxbvuW5LN7gC/B0a1iNDh9AttR3bvvyQ18D729HQozXHuO+VyzxzWXMiz8MMacd2fmCoVN88JBpsPZvWE28AD7mv39YZmba+Hd8b3n5ydtTSGkJgenSvdKzsit3P427vBuN+WKxoINjP+VjJSdA/T5BXE80973IGLeDxnOLYAKMfji/dutkjeQKdGXPBrQtt1DQnoHCg/5zA5KktenWgU0tzxHlDMWHD9Nug3mTcMTdHN6n7BdMmsnf5x8T0XvdCAAnFPvOEc8zSk3AhsHP2Tn+Fk77D5YEOCugAyMxwFnwxtVS6IFTfVl+9VzVZ/ewsc7iHH5c7AtELNy0R9hMzPrrXT+dpt4+QGTOPVvXjGDnrDXZ1KJaSkACpMAYsw3ZBXTua9OFTfSfoa0Dvvu5X1cKJfvFG3NoePs6RIeKKe9QMdVQWICgb2Ntz0v2Hf+gEcg4YLOv8LgWOJizh41j5R8ottyzs439IInczZliw8HcjzVD+tycTXk0YXk2da5flUZ0sFbg5vtbJaGUJt02QFDn3d6zrcZcS02sIO49ULS/SLywh09c7quP71Yv3dWx8dkJN/YV86jkYJH5LOTk7ae8jBRLUcT8vYV0MBxzzFwfAvdAzIS6lSvCUYh43h44EGgvWWHcnC309fyt4jW8tT94uGJTHn0wfSPNWJtDg5v4Sriihfr8egUc02lWPGoHOz8/ny677DIaO3as6WRPnTqVHnjgAdqxYwdddNFFVLeuu8brkQLU8NatW9PixYvpxBNPNH+Pn6MROLMTMCkP4Nt8+MgRy/MsNn6H96l/h/KpiiJQeGw24gSjtgiZoB17DlJVSWzhqT/WCJrOfd8vF3XMozvXo7z9xXRyqxpB38s1UlbnZId1BtUGNJ30pIric6Dr4YXFQj4OAgSizRKyehH2XPQCZo/RI35quFx7hXvD531aq5rUPKsKtayVZjkmWCDgnPMtw71T36eq+TbKqExJCX7RD3weG5sqEIcx5GNhHqlIqpAQ9j7d+90yQUf/v1NaCNEfQJ1FOAY2DtRCimuWqHV8/JNb1qCxl3QVgntw5qy+F3OUDYLrPl1Ir9q0heGWdKibcjrP2D6Go3nXN0v9bZOke5UQ5ZqAecnjzt+H+ysfE0q8wD3fLqWfrutjeyyMJ9e1pTi4T3bo2ziTFmzeI64bDAYWIMP58TGhXQA4+Q70dP9+yU7hzIy0UH++qncjOqtDHfE8e7W+Pjq0tcjEo7UQ5iO+m+c8KK54dhCgSrOZVyp4/sr3Xkbf5yaLufHTdb2Fkm6oY/L9TU2qSEPb1hJ1o1bvH9g0i2bdMVCca7TjUmrUrgojzWZNYcARk9+DdcqX/POmBOyKXo3E3oESkzemrBet8dCmUV3fsWYFnIex4CEzCudc7kYgfi+91268WHwouYJvHUgQbXR8fkvBwRJKSkigXUawD85buHFX/86r6cac/VRXCuiK98pjXHyY0pMTzVrMitKx7j6xBf3zZF9bOP4dtA5AYcZcsaqhtwKvJxgvHOfUV6aJvRAt4VBDGQrnd6lnOtgo75Gvs6qkql/ZZj0Fkwz7DPcjRwDUzRw+s11tmr4uV9TqQ8Wfa6vlfTLHECtD0IDXu/pVK9G7F3UVv8fPDapVFhonKMPCGiDvuaAyQ9V7vtFWUJ33oZ5dzB8rSv5rk9abSssA3gcf1at1DaVKaIeGDDD2R9QnM0qMbP1mo0YY4nHq96JDABxseS0HmlnQvhtUq+R/jzFuh425pILHFetMuGutWSVJiNLBvikqPhJUJw5mIeB0bWbwHZHnCLB4a76Yy3BATzfYBqHub+WKFXw2lUtRFdhtLapDdyYp6LzzCg+ZddTd6ldzfF0TV2WLThjoXHLHic2FNgvbbNjr5eMckhI2CDLaS8P6gLWP1yWv/ZrSI/412+7Ys41yHnEO0nvADAK8tAcYqm0VT0RNTn/xxRfp8OHDwsleu3at6D991VVXUWpqKo0bN44eeughk7odD1x44YX08ccf09KlS+nIkSP05ptv0u7du+mcc86hYxFm2xebhQGbFJQZrWrPrITLVHVBUFmRqeGMGuqeAFXpVt68Iff/15rddNvgZpY1oVuNzYAj0U7wubHxyz3y0M5iyq0DgowuFpyQj4/revHvdfTW9I0xV2UOhQABCOn/MU5nd6or2qHYAbRphpVAxvocw0jNrCxUlGHIMxsBt3X8fN8Ynq3UWsniG6wnIyucYzyhwNz/+cminZMVoL6LrHNASzKLKJ88vX41lGfld+Heos8lKPx24j7yJhjqXrLjadd6wwrqxv/gkFai1Znv3P094fH/rE7rVjWT682sem4y+JwxrrgOO1EcXD8PRzh6WDhYzalIFT15bbGzV3B/UdcntwOKFmgRBhGrHkb2UVZLhbEDoGWc02vyC2zZCJIZx3bjhEKp91/D2tBdJ9nXxuJ4XiipcgsmjIFVT3BZO0pWXgamrsulvs9PoVu+WExegNsgoeXM61M3mvoLDLR/PL9rPVNgjAGqOAsZPvbb6iADmJ8LCLINfmmq5XdzhwrU2QJCAdsIfuL52bGviO4wgmlwELnNk9Pnmu//LV8uoTlSCz+gXe106tPYl5HBdaOu1bLlj8X9Rusr9J2GarZT8HF43rtp9YX6S4baJhHZPd4nRO2tBT67ogd994/eZrskq/U/FFB2wgJLQnfConsIK7uj5tXuucN5dqxbVeyDaBUm2zTI5GcZJVL4LuhNOIXa0ozx9oxNAZlErwHKN8YfQJ27PMfUfQF1xOqzzCJbao07gl0s5lczLVkInMl7AI+v3VPA4+pE5B73FkGIk1rWsJyL+cb4qfow4cDfrdqtLHgJxzdWQIuzSz+aL+ZFm9rpYs1EYJr7rYMlge/HSxYTDAd8DiJ+cs9yfvbUeytftpN9CKxTaFxAxVyGr73lxqCWb25QKz1ZdI+BKKYdNhvXhKCPVfeEeJRuxhNRXw0Uu5G9vvTSS2nYsGHCmR4zZgxde+21lJQU/+whWnRB4RyZc9DFQQ1Hb+x4UNTLAmzI2ggQi2wiZxSDPmux0KkL1ZlvzRR0y3GXdaOWNdPEgwHFRzVbmipls9EegVWWrbDRyM7l7HdO04baKCC3oYJzgwUOi9e31/Qyf492ATAoIQAhG1kfztli9ouNB7DYzt+yV1DiWTlVBqLNboB64lDBkXdnbjbF4AYYSuiy6uX0DblCeVV1SmUHm41KCM98dGk36fe+2la8rOC/FlmlM/gcrYxWOyVzO4Dmx0wKdcORwZkUrodyAvmZuL5/YzpTopfxqWPo9xcdpmFvzBQ/T7ttQJCCeyggayLOy8ZgY2r47V/7jP4TXppK3/+jV1CfT3EsKYLNTkOkQMQcxiLjpgFNRC/zSKAa+vGEbNhDkAjGXWpyomg5Js/1cDAFvy3+hnnMvy+vLTvV/rOqEJH8LLKSs+xg4d55rWFqNy/s9incL8xLGJwQ09qSdyDAEZSXEwSusO7L14lMDatQy+OB4yKzjSCs7CCgRvSZiWvoi4Xbg1r/2EFeviau3i3aUzEQ4IQjw0Js6NedkpggAnegw8vAfnb710vEPD23c72I+mDze1fuKhB7N6/1blX61ccWxjsfa/G2faLVkB2gRAwDvl4EtZxggvx8fR+hQP7+rM3inspOEgIgyG6rIqcqELBG1h44+ZVp5u93FRwy5wGcYgTdP1uwjS7p0YCuD3OvIQTWq1GGEKhUsTG3UJQzwQFGSyWoIWPf9wpCQKrYN3/gxPAca1YjVezpcJAY5747m76/trf5835jH5RV3wE8V1CFtnNq/C0FbfZ8cz+MfpHgAEW6xJRwgi71q4nntF3tNMsgdiwdNtFRQ7JBnv97rWAKvHF+J9HuDQHkCTf0db0HcgkAWiQim41yLf6d2u1BvjdOHnE4vy+d29EygQW7sXuDDCGwGgl6NsoULzuUHCk1k2svK10puJYcz/axBE9mH9pzsZNdsWJF4eSWhXPND/vdd98tenEXFhZSRkb4fqZHM9g4iKQfr1XkUfWfeG1gwwiRTqsMNi+Q2ISw6IRymh4b3kb0Mb7YobIzcGG3+iLrgXZPDBhO+C41O/Pp5X71U9URwT6FWrd4YP7WvULhEQsWO9g3D2wq+qkC8lBD4RyBDLTWsnKkAHkfs7p3/zuzHT3y80r61zC/orcsRsXOsepgyw6JGZVWNk2rfrQwdn5avov6Nck0N1v5tsuGLv/eaq9B9krGuLlbaF1OIY20yehjfJCpvOHzRSEz2LzJuokeyw62mmFmfWGMhTw8bn1IbDTIwLCQkxXUhKNdYIOvEYGUaLOesmPQtX5VuqK38+yOinB9sD+es0W01RnRvk5Q/+VoIc+7YmQLk32q7Ojn7QbISqDWinuzR5M5kJ1a3Ev8a9VSBQG5z+ZvFcFMN9k1u3EQNN0jvjICdb7BUEdGAy3BcK0yzEyhxyU2poPtYr+Se+cu27kvwMFW9z2ct5wdkQUb5edZZCMP+MqV5DUS/Wg5myaXSqETAbLk3PpQhnz/ua+yDJnSu2R7vhBRvKh7g4D7sWhbvmgLB6DtToCD7SITjMABjFRkLfE9DDdroB3O6VSXfl+VTd2VwICKJllVxCvS+cH375ZBTYP+jvvw5839g9aVyz6aRxtzD9CbF3QWwWecJzLYYLVA3Z0ZEw+f3ko48ei7DGcDyQDsIU6owaDpvzK6k7A3Ppu/TWQCQd2WO3hAbR7tpkCX99TBltZ2OaiKQAb3VOZe5Oq12GWwucTODrzn2z2qfkaXs2tARnbt7kLBglT3dbRrxX5gtdaGAoIEeEXbXjaatQxdBLBemy2wlL3a7b4s719T1+cKBxvlWZhP6rjxrY62nIfZftGy4MKVjR0sOSLWJ3WdZP8BpUPHEiK6mssvv5y2bfPRTWXAoc3Ly6Phw4dTtWr+RfiDDz6Ie49sZNLjSU0vK1g5Pk7hhCKuOlwZhmqlSiEznZmkCgQWSCgfFj1R8XIDbLbIqsqGIHpKy98dCn5ny55a5jVQu6z2HASdfXALX3YZdEk5+wzht3tPbkGjjFpXt3ReLMAntKhu21+RAwvj5wfSM+WoKAwjZC2hwAwRPBiiMAT5kPI0e3PaRsEKgLPIUU/5u+WsLvdDV+dp06wqQVFP1NHCmO3RMMOWMs+GATKUdmBDxA1FXH4vNsq/1+SIMUCZxbi5vnHDbZWv0y1FHOP7e4h+1VbjpPZ2ZeA8ujWo5kkf6YDriFY12mTWWI8NjJL1uYXi3nvtYHPPU6xdVv2dnQL1b07ujxsjDuyd0e/NEWJEEy16im7PP0i/r9otKHNXUXQONoC1BFPDit0AZwUvK/D67tbgjSSDjQzbut2Fol+tGgRAdohbobGCM5wm+VlCQPGhn1aapQCBDrY/sCqvR7x+wODj3H29qik05oRm9J9fVwUFMRGEwJo0wIKJJD966lqArBBUwwc2yxIZUjjPcHzVfZb1ImTwe9w827ifP17bR7Be5PNz6mCjvGLO5r3UvEawg/x/p7aku09qbuvwP/HbaqHDMWZQU0unx0uoTgvmKwIxcH7X5h0QNay9G2eIuYLnGM4dMoJY09HS6skz29EbUzcKB8bqeOEcIE4OoHwB7ApeZ7hFGVO6vYI8B+Zt2WuZtEDp101fLA5KONhlsLm/+X8mrBI0dJSuyOBlDRn7f/2yki7r1TAgcMIz2M7eUAH75sVJ62l4u1rUfmjgd2F+ehEEsmKbxQrcRxvr9fld65s/uwkeWkGeimwn2/WHBpPv5+t62zJYnSKScjq3yKicRNf2ayzWQ1DRkSjhec1BoDRDd+FYQURXg/7XUOx2iuPB0S0rXNKzAY3q1Yiq2Xi0oCy9NGmdiLY+OCSwV7G6ccPxU2tW1E2+frUUETGto1AKQWldun0fPfLLSleLrptNTVWUlmtUwkGtw4sH2BBhiiLjqbOCW17wphiKapxqRPdAW5Sp3zKsxv3GAU0EtYwNT9VolrM81/RtLF53fL2E/j3BZ2jOvnOQlIH2X8s0Q/kXWSPz1khfj2DGM2e3F9fUy3Ci1X3AajPiMbCqG/X3Ng3Mxq/ZvZ8u/GCuYFh8/4/ewmB6/pyOgo7thr4NAxUOK4wYODsvTV4vMiGoZ0e2A2hRIzXQqCbvcc93PtVihl2mHoGNN87v7Ml3gkHBQPsVGF910ytRRgR1bOEo4qbRFyNK2P2nthTngEARP/8Q14ERJ6vwRorADLbzz5lZIZtZI9f5ewGuabUDskai1zsRvSaJBfodbG8NHjPwIg0g+k9f9ckCQVNHDa8M9K+WsXDb3qCsIl4fzNossmO5+4uJJNME+9nnV/YQ914OrCLggJ/gGPGvOXPEtfVy4MQM6Fk8h/8a3obu+WaZcPBUQxd7FIKQ0LRAcJV7xb43a7OgMYNKavccREIR951j4JiBJut0Pr12Xui1JFQ2HQEz0PiRSd2RXySCklb9k2MBvne4n3yPZm7cQxeNnUvjLutunjePKQIa7FwDTreIdTn76cEfV4h1F/u4WhvLjoqXzmKoccc6inIlBIGZKSFnsHFezH6yoks/+fsaESDAS3WwezbKoFtPaCZoysjK47jye4a0qSXWVac0bGaQOEmIOAUynyhXxPXLzD+v11EryNsIvl/NYKOmGcGqUZ3r0slGVw4n6FC3qlgPBreoIYJBYRkfLnRMwJS8bvwiwSLgEgqMld8+jnzeIoDy4E8rqHO9qoLpoQL3B0J3fZ6bTN8t2WmKgwIFIYJARzMi2j3vvfde789EIyJAvAw95yCLb6WUh00fdUdy7bJM47yqd0OzdhdGgFqnd1hZqM7pXE+8VCCyKffk80KkJxygNG0FiMJsyC0UjiUWq1hufKFgJdKCPt4Qx+qlZO78xpS9AcNjimtwk4VXN5vbBjcXGbLTWvvUjFmtVYYaFEgwPOdSi9/Jv5dvO65/kBJ5PWKR4YGRL2eumLJu52DP37KHbvx8cYAxySqUEAWD8QSnMFFysNyA5wp/VrQIkpxP1E/KlG079sgPS33lAd0aRJ/NiYcw3/eSiB7WjMs+mu+YUeFUfIZhRqxjVCN3htKaBYrmT01cI7oa/PeMdlEfPyCD7WKt8wun2RzXuM2xNAxlpXoEprimFNfE38vPE0ThvIRphErzIpRxp47DHkNtWEWmaBlZSDmKABccEyu68nsXdTEFM2ca9dFQhN6694BJ95Xva78mWWKNaqvUegL9m1UXzCGUPanzXV0X+ZhwRLGmsIOt0neFWrCx/rndSzEWWHex18RTOAh106yXgtc/T2kRlYP95rQN9MWC7TS6az1TaPLn5Tvpp2W7BCMAonlBe0ZJacBauXb3fjGXIdIJvDRpvVjPVAE2p2N8/vtzzX3LKvByIEZ2BrPhVIDdAbV0sPtuGtg06NnCx5DdhlNr9Xwt3bHP9jthO+EFVsji7fuEA4XsIzuy95xsL9RoBR4TmeLOY4e1GVl/MBVVGzQUJqzYJVghYO+hRI7BMyCWZqjcqglBW1MPyRj/ZTsKhCAdlN/doHZ6Cv12Y7+AoA/WanQUgGhfNM8UbDb4BPI9gA4Fz5hoMthg77Aosu33J/gEJnEO8nN6y6BmomymegxF6coCEa28Dz/8MN18882ustjRfE4jcoRSuoXxcsOAppSzv1jUCocSPXOyAaVIC3g8DETQcr5atF1EWmWgzm35zoIAGrsXETq3sMrEohYMiy42PWsH237crLLITqAa7chkv3BOsNCFDJVay7czsOWJ/1yRfUJNthU1DnMIL7wfiyuMW7Adnv5zren8yPX4HGRQnXyGbECARg7IG0Yo2rgTXD+gCeUUHDKzSniG5OwuriWQFhp8DGSuHv1llTDAoHQv46dlO0VGAEbwpb0alhsH2+rZiDRQdmKLGvTrDZmWxhLGj+tqY0lJkxHJ8//P75cJWjCCDGpJC0blhObVxfPgJsNo9RxFU9foJMMD4xqUdNXoR6kIdxYw57XxTHNA1ir4Fg2smA3c7cGqJl3dRnA9MOR4P8NztiZ7vyhnAeTn1GlGkNdn1LGe/fZssz5QnvvoRY+Xm+uSKeN8vvJcketfcX8YENzCPODgtpv5BQcIzCNZiAu19vGAygxx4yhZoaikVAhZygrdEJECk0gNrvNeJGewAdyOU16dbv7M606Scq5u7RV+Tvma+Tv9pXLermuju9Qz90sZfu2TBNMJl+0NzHO35Xgq+NoQeEJAzk4jJhx4TAoPBVPYuQwEnWfcQHVqGbcNakbX9m0c8Fx5DVmjAQEbZqewfYJgHVA/w/14qc88hPggZHd5r4ZCx4cBG/ft6RspJdEXnAiHinyOkm3FzwS+0o0IqG1HIxvzNP9gsQiQ8vdxIJNtUlVZ/FhARLNv2rRpohVXvD6nYY8FW/bSlhXZ1DA9mdorQjUBImUh9g/eyN+fuZnO6lhHCN/4P18a9vNY0EHRY2EcIA4JbJGl/PG6PkHnZiXOUV4y2Gxw3f/jCkFHRrRSvMfYFHmRDrXRIWKNaJ9TvDl9o/hXpsTZ4eGfVwgDRjVUkclCfZ6sMAkq+WtTNlDn+lVtBaSweQ5+yafiOnlMf2FEIyouOzqqbZOcaBgKNis1b6YQqWG6PWhyDKbroZYSR7phQJOAOR0KyHi88Pc6UdsEepz4vtLA1jS4n/IGaOUs8eZhZWghGo0gS5MQtcdoM7N4e37Ad9qVgDz751rq1yyLHjk9sATELdjohOOI78N8ibS2G/fZymGS6eGxzK5BLAxOIuYmSiJ4U3dj+GLNwDGs6rhxbU+fHVzq4Vwzw/rvRzxmAN317VKau3mvCOiphrZ6Dr4gmO//29ROE2s4r09eAUbUOxd2sRRtsirfUR0fzEusgzy3pq3PE9kvAKUd1VMDMyAbcgrp5xW7RH9fldXAwDWCxgnlcICZWG5q69FtAN+PFoNWY2xmsKVjynuRTBG/rl9jcX12CsmhgLFh5/q7f/QScz9eQWU1K8wZ7UgBtXVAdpg5Q6xeEzvz2DPs9CpCnVukKut8zbxG8Fz22s5Az3ioqqvisnJAjoNGODc8y07WEJQOYr+vZYjXysB3IWCDPZEhM7ewjuP5hFPmJEDBAlqFxSXWAltJzo7jJLAF2zCDYpsNhWYEdweQRUa5xR8rZodS3HcKuzZdCD4hSIpAtRMH20obxT/+7piRKkIJ2XIi5fm/1xGjSGEyHIuI2LqBYnhioruP79zpE6XS8A5/rMqmj2ZvoSt6N7RxsO0z2Ex1AmUZgBGKehZ2RrBInNCihsjgIUIGIGP81rSNgpLDFCEYoW9M8zlxDLSOiAesNkZ/lsj/u35Ns+gT1GLFw/NXNn05Wij7YrIgjhOK+BW9GtJfa3xUNzeAUBioYKoqMb7zl+U7RQYJAinYoHEv4Vz/o28jmr81ny7o6qMHt66dFlSfhwysSgFXIV+P7CRCVOXU1jVFvZ66qbL4m20NtjGesrEqO20wdjC2PyzdKTY7BAKcAueImtB9qckB0XHZwb7zm6X00qiOdFaHOmKuWWZqQoisFDowwniaov4bNd921CncL2R5wB6IFvLm64a54hac5YHREG2Wyw6P/7ZKZLteP6+TEFwyDXMXhm84ZzgS8Gh62Vs7FNgRUWmZ4ruUc5CNrtsHh67djhTI+Kk9WDkYZSXEJo8C+mSrDj+P4ymtatITZ7S1rJl9d8Ym0alAdrDRlgbshGFta9HgljXo3lNa0oKt+SJDhww26qXdZJ4gtmbV0s7MYBtXIgdrZPaGHPhBuy7QQO0UkkNBDtCOn7fNdUbQC4eYEa3Wgem8Sk6Ff+2sYCngWVwSmMG2g8y+QmDEbSCJ7yu6IOC+85z2t4b0PqjB44lgELM4TBVpQb2tIET4YOP4zi9B7FuLtuZT1cqJlqVKCMp+NGeL2P9V/Lpilwjmy5DvxamvThcssx+u7e1o/HiO81rsBbuwLNtBoqMNM4Bwb2Cfnd2hjtBWgA2FdS3BogViJOCAkBrs5et2ul1YjRdo52jJGora7QzO9EUYsFuwPjernkrvzdwkbGMk+Lhs5rh1sIcOHUo5Oe4NfSA93b4JuYZ72FFknFIOL/lwboDIlWxkYdGW61oAbF6IbILuoUbA7LIh8Ya/Nrg0IFPWomZ8FQpB60JPUHnjsDOsmQ4dKoPNYhZugwTcM1SmNDFAYwZOaV2TMipXMAMAoIG91i98D9hwkM8VziscQRi3cF54LFQHm8fAbsE3qZPSWMnCKdiEEGnnZ8INDZmfJ8xxrkxSa7BR54lzfmBIK9vj8HdbCbrIEWM78LChFzXadNiBDTovslTs6EDFnVt2RRqQgqPy5YJtwvBS230x5TOW9HAzo2XMoUgo6ea09NLBNkXOrOGEceQGPC+gXD19Q64QzbHrPCE1O4grODgkWmcpkNcGqHCrjAd/xt/62Ly3qWwKiP2gphQ11YON3/H3j+5SX9RUewG/A+T7F6yYSz6cJ/5fpmPKARXQPmseOhyRkyYHNOFEqmybWEJ1qNWMtltwyZnsMPNcUdc7GOmiBVClxJAONjQY5HPFPYhEJJJj5uo8GXd5d7G+e61dwMrLwJkdEdgNfIaxb2GOPzeyQ8Dn0A/97u+WCbXzjy/rHnRcODPM1HIC2cFT2RnhwPO5ULI3o2UX8n5doqxlKMNC6Qjuj12nhGghl6JhrsuCZGi7B2D/8yKIzPNVplWrJQJOoNLY+djQX4oW4TLYh5U/3P71UvHvZ1f0oA9nbxG6QCe1rKEd7DvuuCPqm6HhDayytW4eQPX34SKBVg697MiwQ4GFwI4iWtZjEi/AGFQNwlKb/7+sZwPKMfpg28HcTF0aTJVsFmcYXjAwYJAgAww6ITuvTuiRoCfjBXbAjA25tHXvQXr49NaCus0QQkLGtWJRh5AQWnXgd8gcAerlwJC+qncjW/owZ7BBAx7wwhT6+uqeAXV6iLKz4+nW+ZRbqnE20Tc+fkfZybyCIAl/VoUTGiHYA8DLk9eHdLAjaUVmh71S0AwU9mgy2MjCgXLbplZakIPdOLOKUHaOPmJuDz91szQktTQUEkKUACAAM+LNmeIZUmvswz2L6NZg5/Sc06mOCMp55RNx1ghti4CHhrQyM7lWFPFYA8/DFwu2ie+C7gLml9MabCuqvlrjrIIDK+p952w51kQ8Q3jxbXZCMVYBKvqWvQcEHVTu8eoPIlKAU43aUPWcv72ml1BTv+bThUJIsV+TTNpXdFgESJ22S5OfV1CK8cLeAhGhWCMtOVG0bORSMS71iRQpUl11kDOm3M+7JcEtMH6GtqtNV3w8P+iY/Dl2epjO6xVjJDU50ez24SUeNTp6qNfuZygGr08zN+SZ8y0SJ8/KZpQz2OGePRW10lIE61Gti45FBhsCf3+s2i0SBbFysJFVfm5kezEmanCJ668bRFB/7YYirooQOw5IxGCt95dmWh+71OZzq7ML/F1FdJsujfIEXmDsRHOqVU4UG44dhUc19MIZWbyOyA8oRw+xCLAjMnVdLg1v7+9XGk+YSr3S71BPunzHPkHninWPzlCQh1e+ZU6ESDCmkQheoU6RKV/nGZRvBgwiKEZDfAL7kH/TDDwGKOa3frlYbFigEwFfLtwmaJUY28aZlUWPX6tzQ9QUGXrUmfN8xbcgg8Rq9jLCGZPy3MP34SWrkMsOsVwb5QTy+aP9D/q+IqOEOjUoqQJVDQPBJ7gEBeCKrmrH7IxEK0AVPZQhw9kAT+osLR59N3WoTvtgwxixUnb2EiZlVMlgu6nBNjO9Fn9D8CUSh7Ra5STLNn0MlGlYMKUjhkqJn7h6t9/BlrMYFRPMe4X5NvDFqeLZQSDEp9DtDXA/uA4PdaV4NhGQg7CXlUI39qeu9auKwByem+35+0Q9NcYR4HswaU2OoKyCqovWgAx/YEWpD+agY/FhoZ7/1ES/gJQaiHSCrxdvp3FztwY5s+jz/tEl3czseKhsHfQtOtZNF2VAWCvR3QNsn6v7NBJBRyewCtxEI1zkBughjtfId2bRlj0Ho85gqwJiToOTsHXwgt2DoCHWUPWYKLmZcfvAiAOIzDBBIBHZZZTVyaKlXoPvK4JzyErj+9Dlwp9FDryOKz+eTzv2FZnPVCQsBv4ISszgAKHkJpoMNs4XrD67PayKhw6223OLBGh9+vuqbCE8hvFHZwCMecsaqULNHuwAL+qv5XmrOtj+BJqz42AtQLkMxo0DS3BwwVpDWQoyyJECvkb3htVEWZsVDtvslyhz4z/pNl0a5QpMh7ZzsFEjhJcd1A1GNojhQJz08jThAE26pb+vFYHFgsb/j0UGVCT0VIwkC+AVsJmoGwqcUzZW4uVgQ80cGV5kNM41WpsF1GC75J5iEYwE7FwsNGhLMmA8CwfboED7KaqB4wdjHJmJ1JQSy9IAvhKrdR73QjjYR6wzBW7NMPRgx0YAZ4ENMGTDuHwBPR4jFZuRjSQY8aAtvTV9k6gNQlsY9Hlkg/WUV6YJqqDcz5ERar9zcm5w7GH0w9jv9exkeuC0lnRWx7rBx/JQvE+tOUXNfqQtQcK16YpnX1xWmwcjwm7ztwJPVauIvBPxx/IAldkgs0LYVBszqCld2tOvZo85x4Err1lI8rrMcwPlCFySoALrxesGhffaTxeKNQyO/6Qx/cXf5FuDQJhcugTsNxkegVkzdnjxLMrONQAV7id/X00PDWlNQ9rWcnVdapIdTkXrSv7AAQSjEASAuJT1cfwdFJhN48Y5snpvPDtnAHef1ELYDmCqRAM4kWDAyIrhTM12ck2fXN5dBFAQLGJsN5hFmDt4dh/4cbnol41+8ac7uNeqNslXC7eJQAj0ASCmCcHJKsmJdMfgZp5lxeX7iuALXh9c3FUEpjA+qJ+GmCNwwotThe3F44RuKmrNuXP4PoNgRWpyFZ+DbTh4sr1ZIeRuFx6R6GPI+/VF3etTPUXZXGWOxAII3qD0hjsujJu7hSasyKbbB/taToHK77bjS7gabLVDCtvrTucabJq3LugS8DsEBhAsQP1+NA42xGtfV3R6ZPBQYN7iO5Hc+e3GviJI9eQffkblsYT4FqVqeA4OEkdqx6qRT7kOT9CnuH2LsVLx+2VHXKYuw9GAgx1KrCvWUMW4Is1gRQv04oYIRt8mmaaDDWP2H+MXiv+X196FW/eKewj1XjvjIdL9+r5TW9Ljv60WSsIqoJYN5B04FJJyxhsV6sBgPAVR320+B/jmwhGjHjB4okLwTMasjXk0eV2uiJxbGT0s/jP8jRkiOMAZDlnEDeMZCXUaRh1qgthhTTUMc6iUq/3ExaZWCoohuQbsnVBGotqhzM5R9XJey9TWljVT6QaHWTO34jPofDB9Y55QR4aIYizAEX9kEgC5DZxTNMqsQh3rHrLM4MriQl4CgUBkRZBlsAqouIX6bMkZAvRnBfMEatUymP2RIJWXeAU5oIsAZC+pbtEO/Lxt3nPADADAmcZ94WcSDrPaW1UOAqrrAFPE4TQw0JIMwotfLdwuSgvc3FqrfdEKqM3Eq1/TzNCtHY+A8VN6VDrYKBny6jjqsd48v7Ol0/LK5PWi7hbPOdZwtG0b2Ly6YAUMbVtLsKvghP2jX2C5CgKomEtOy1WuVXRJ5Cz7voMl9N2SnYINAofdS6j3lec1rhEvhhCoLCWTUQZ1cOyRkdhjMhMQzDeUdHEJm7ysuzn0vC17xF6KgBrPS+i/4OdIVlKwFKwEGWO1Plutk2DiXdm7keWe51W7WjilEFWrL3Vxke2uaAK9sWotp4LXRlalb1krTdwfsJMA2JSxvF9lAe1gH+UwxS4i9LCDMtjSceSNjB/gUBls/M2sCSlngShTWCqubboMFXFprNBLFcrbiATL0bp7vlsmlCfHXdaNWtaMXnBCxshOdYWRYZWNQjsLgEW8kOHDBqiKtMg9zr9etD0g4wXYUdUAGJMiG5ZYwTIQ1L5uoPDhip0FoucjSgxCZRX4eoJpU6VmDTSyCdE4mn5hlhJhwLFRFq4vuXxNao0fAkB2dUoM9Xm2q5mCQikESmpatFlxC7nveLSZZ2ZAWI0NspBQdkatcawcbM5gR9MTPVTbE1lcyA1gzA95bbp4DqbfPjDIcAZdD+r3+K0XDjaypaCVcvcBuY2UapxbsSK8Nnjk/eamLxaLMcgrPCTmHmqNQzmDXKsNwJmGi9q3aRZVrZwksiCYU2qdNrfcUh1sXns35haav/vpuj7i9+tyCoW+gxvj2C6gBLG/yWtzhGGMMiB+n9xZwtLBPuwLSKo9u8MBa2K9qim0Ld/XGSSeDjauE1m89nWrBvTq9RpW9wVBXziSyCai/hat6cB0wlr+r2HBgWUA2Wsun4qUKs7dVTDvTEclBjXYfyvdQ1Dj24OCWR+8HoHFBQebAwChxFPtwEPCYoDYi+samWJ5/3LznNz73XKxBsp2Dp45r9sBhhP39QLIXsssAau2rF4B81i2S2Rxv6+u6hlx8iUWreVQ3oKEXAXlpNB6FN2Ftuw5IF6tjftfYDAA5FaFxwqiXgmKi4spKSm2/eY07IFFr1eLGpRmswePn7dVNKnH+/5h0a5IXnfP6VQ3QKDKT/32O/KgmIAGjvpUBuop3zi/k3Aor/5kQVBmoDzANBrjGM1nY4l7XDPkGkEGL8qhxEiaZlURNHG0pHELO6onZ7Cx6QH3nWqtjN1cWtx3SMabkwz2f4b72+dgYVUBY1MWxDGVLm2cI/4uNpLhvN/+9RIRGb1tcHOasjaHvl+6U2Tsoy0H4IwfG2Jyfa/vmbAm+sv3EX9XhyWc4yL3iwy1aaPe8xbyBrIwHBwPCDfBSI2EJhwqg82CdLHqgQ2A0t+rUYbZOgnZJWQ5vWoLpqpDOwWGxRwSo5WOjFKPMx8wXEPVfLOjAefg/05pSbXSUxyp3EcK9bqQaXxp0jr6fdVuuuvE5qIu2w7/Gtaa7vp2WUBQAsElvMBYEQ62EmxD7fK5XeqJ/ttWFHEENQHMFV5PImlRx++FzsWNA/xq56t2FQj6ZZ/GmcLBXp3ty95M25BH11kwRMzWjlKNv1vnD0ETbh9k1188FoBTM2fzXvGCHdG/aVbcKJ/sSLKYH/D0xLVCnRityqz2AdlpjVRrguvMsQf5tTW8v2Z1FYUeCNhkJ7WsKbL0uH6Mtdg7i/3sOGZ0RFKD3bZOOl3brzG9OW2jmMNgurCDjaOB7YG92M2xEQiGrbFr3yFq6d6MCQKed7R7whlg7WLw9ccyI6oGweU975YvF4tExSNDW7sqS3IL3Hc3tf+wqUa8NUucIxxzlLBEo+IuA2swgqaYc1lVkujZkR0EC5HRv1mWeMlCqhgnaBgAqvjdsYCor+j666+nIUOG0HnnnefNGWm4Amoku2SmUl7efiqxEGfB4oNe13KbIRnIkrw2dYP4f9Tx4IFjcJBd3uCxaeIlA8aE2mNxu9FSoizwxtQNQggEdDHeWJ30HvYaVhFNRPmRAe3ZKCOgbpcNw1C1UkmGEYHFyysgiwh6FjIsu41+6FmpyUGGMDaqO05sLmrM2CiVNy+zBjvMhsYbHy6T5xcWeFmFk40WOaMqA307oUTOQJYScxwR5Xu/W2b+Hgq6TsTjQsFqvtx5ok+xlq/UKksr2xzYiCtEWawbj1pmGD3m95USjX5/Dr11fmfBunALP2U2+G/xaNOlrlFnvDVTOJFfXNkj4rpyK+PKrfMjP1dWt9TMvMTBL0GwC/cCdYMAZ+BivVYiiwGGCgAngUXFwjn0YDvMvnOQY0EsMoxu2fBmDG1bm4a0qUVjZ28WGgtwHHzdBw6bwUZXGWzjvdCp+Of3y+jlUZ0UQz+wfQ9qEEPuGXIG2+Ucu+ukFiLb9d/f14if49XNo066n76KdRj1ldE42Mj+3/nNUlGrOfYSn7AmAqlgQv3fqS0DhC2tAmewffACuwGMAIyjvD/h3HjuRZ7BTgh2sGOQwX5iRFt6cdI66tYwg35cupO+XbxD/B7138DF3RuIQALPw3lbfCVSnetVpZ6NM0WvY7cA2wWv7xbvEOJdf6zKFvsaVLnBqnh8RHDfeScBPwSZdhq2BvD7ymxavD2f+jXJot422gR2wHOEkjs4sV9e1TOuGWy1HERW6IagLtYCr/ZtzC08D/gG9NmOFJjnOft9+zxrPLgRXQ03Hrz+wkZ8e/rGoLZxMvKLSoR4LGj+EM49tsjhPkS9EuzevZs6dLAfRI2yRbiFBnWrszfvEdEkNYori5c5BYucOREMiRWwWEO4BLU9QTSYOGawEy0cxTembRTO/wvndAhwsFFzBySFsKzZRwtX5+cGrWqliQj4ue/ONh3n32/sa6r0ysgyfnfQELCTZ0WN1BThMHB2N1QE+9XRHcUmNObLJeJ3E1dn0zlGjbocZLBqy6MGLJChBLUoVL/paJBqYSyxar6/LUXw56yy/L73ltKYr3xGIlrxZCniaHaIBe1MBSj5v63KFpseQw64uQE2zW+u6Wk5n/lexTKDrY55JDS4pyeuEfTIa/o2FmUWaga0d2N/HaFTyIZ88ZEjlKxI/LEGhlcZbKv9gI/90qT1plCgvN57ZXDZAfWpqL9esn2fmAuh+mCHw+a8A8JJZzEzbssWDuyQg2J5Sqsa1Kl+Vfp47haRqWO4cWzl+4q9h6HqNiBLwyUmdpR+OH1taqfTmt2FEWcfZYfTi/IRJwDbRUa0KuIA7u2BQ759B04yC32qTCurfQe/w3x4+OeV4jXrjoG2Y6R2soikDCyWgSnYMnjN3JgnHGwVfPpqoAAB5hOjEK6S92GwIrCORtP2iqngYK4wcE3fLN4hNBDcOth2TCnozmBtieXcV/dktvdwLjxm0baqY6zPLRTsUARKvr+2d8Dz8dWi7SLpAmG1cGBxPyyTfP5ezVtV7O6QEuwEiwzzB11XUo2WfuJ9h4940oe7PCJqC6d///70+uuv0yOPPEJZWd6IW2g4B2ix69fmUkZSBepiEdkKVRtrvsd40/j5W6l17TSzhQ4vWuE2eChzok0KMp/vXNhFtOhoUTNQXCeesGxnVCY12MEZbDa4bv1qiZlNw+94rEMZJZxh/HLhdvrnKS09O0/UarFzHepWn9SqBk1rNcA0TO47rSX98/vloubPSliOcfHYuWKevjK6k2AUoHVNqMiuSZO0MZY5AntZz4ZmnSzXWspAX25E3U+OgFLPsNp0+NxFIKDYOtPOPaUhCiPXUOK97MA+fLr9YMMo4jZm8nequGjsXLFpIVIcbesrGCsvndtRRJ4RCILQVqi+7OEcGLsWJSZFPIbPImoUYXwgiAWjhIfPjRGBek7UdVoFatCujrOUboCsma+wAEG/I6Qwl4McMq8A4cC7vl0qlJ0/NNrsqcwLDtyBWYB2K3IZkNfwq26jD7V9H+xw+HHZTkELPqF5dVEnqmpHIFMOxwzZaqtMNjsuAOqHZbjxDxFseXly8O/VDDYCq09NXCOyjVaAQ8SsGzji6KMLwUG3QN19h7rdhUOvdjiIFeAgyVB7A0eqnMzOivwcqrR3qwx2eqUkc69IsLALZKc8Uoq47ODFOjAVqq8yX5tsqyF7HY1zDUV+2BxsGwCcoUTQkgtc3NCw2cEGqyCWfbCxPscaKqVZzmCzc+lFkMnqWWDs2HeQPpi1WYjaOXGwTa2kw36b06uSIHkaPDq0NQ1rF9im963pG+mTeVvpil4N6aaBTc29mAOsxyKidrDz8/Ppt99+owkTJlBmZibVqBH8QL/11ltUt270gi0awZi+PpeembiWhrarZelgh6qNBbABgUbFdT2oGWNDHRsk2onISrIQf/n3hJXiPaixACAK8/Sfa4WBg7qcsnSu7ai7qHuGYd+8Rmz771rWYMvS7BJ4T5AdtFBiJH2bZtK3S3Z4SqXJLigSrUaAJlmV6fMr/TQrFaoRA/rYt9f0CvsdcBZwiXJ/2YpGf1u0PFGz5fw9yPBZAY6z3FYKdEq73rVgC0TjYEN4ScV/f19N4y7rLowXfK9VjaNdYIujxeEcCraTcE9gLKgttBgie3focERZLjtwhg2iJLGoYWPV0NQYZrChBD129hbRwgUbuqoe7QShROwiBeYDDBnMA6ELoSyVsaI2wtCDI4t+tv7vCnwPG1woCQjVbsULmGJfkmPipGTgP7+uEnvemEHNRAstHi9kT5+20Lb4cPZmESRBYE92sJH5fmfmJmEks+Kz/Dz2aFjNksVjB2Sc0cMae6gMsyuD8TPonUx3DoczjX7lkQD0aZlCHQ9grYCTzW2Lol2TzF7lxtrOayccY1X4zeq7oC/CDrZVhloOAKjBAafgbgtggfF1x7IMrXZaCv3fKS3oCYP+jwAo7C8eDpT57TBKPmBLiNKpvQfF8+G2NAZicY/+sirgd8wQwbWe8up08f9WYo12qGUEe2B3YL2JNjDBTq2XrD6nQHs0uSPAKa1riP0a5RkoY/PUwbYpgfH3wXbJtjHaprKOy4Xd61ODKHt2y7aCqnlhtbfx2GB9fm/mJupav1pE5WjlGVFbOJUrV6bTTz895Hu0CFrsYNY62mS4OOBlF6G97asltD7Hr6QqZ1sRbURGSwYiaJv3HAwwRiKhkscSVtRdtV1NPNCudrqoC5Lr0GRjneWx5BYhoRbk6ka7ILsodiTA5ozWIm6dDzdgBxSRStQ3ouYKToadE5pkrMCHjBZLKrbuMRxso2WFSg+/tEcD2rL3oMgAg7oeDdDyBUIdS6WaSY6+33+atSCcHNgSre4kFXGO1gtBmhBGCfe3H92lnui/bfcdsRCk4gxzpPRwAH3VP5i9WVwjotVWx4+laqjZBxu1kUxBTqzgrtYyRAlANIABjnOSgy1uGEeRALQ89VkJymDHsWe5zO5hp9+Jg81q0ahvDDVePy/fKajae22cnoJDJYJqi9NA31p8ngPJIhsdATsBAougccLZilS0DsFCBELAPE6NopaXM4zx3pNBVWVHM1rwXqg6YlZrHat5y0BdLupWAavHnteIl87tYIohugXsCrYtsL+d0KJ6VC2TwgGBhbM71aVn/1onnC04ztjDeX+BoCham4ESj/3zy4XbaNzcrXRel3p098k+7RCnsJo7bKvIS4eb6+XnEHMcAlcIgPM+Hklgwi6D/d2SHUI8C8H1WNl+Jg3cmEfoA40X7/GAVyJ/dhoTpu1dIXKfAc+JF0Js8jMGNqsK1U+QxwalOegxrx1sBffff3/QQGrED7zA2BmB7MTZ1Ripvw9X62lJe45Q8CdW4H2hDIKaAUAQQl245HPi/8eYoj+26BMdYrcyW6B5aDTJ7IRwarMw2rBxQzDvsRFthDjS3M176PQ2tejLRdtFjc2/h7UJUrXkFl9os4PI9ZN/rBGGGFOI1WnTs3EGfX5lD0uDG04B6L/AFwu20YM/rqDT2gRmqBE97mC0yfKiBkutmXSS0eTnA7VT+Dxnk5xG69ELGfhi4XZbBxuZHT4Tr7ImqI3jgEs0NdJwYHAfMKdUB/t/Z7ajvQeKRZ/pWEEWyjtw6EhEY1QhxP1esXMfXf/ZIuFMgc3gBhAVhKPItD9VEwPZBK8yH4xU7ucewsH2MlPvuHb1MBxszmCHn2/sXLERa8fQeuinlQE/q+UIbNzhMR304lT665b+ZtBYbgfmFBCIBCPh9fM6BfQVD8cgU/Hp/G30wt/raFi7WnRV70ZiziLI53Zv3Zh7QIgUAn/e3C9uegc4V686iCRJ9atYT0PpKAxsnkVPTfT/fG3fxgFCWlZ7Jj9jTuv2wwHzJx6CcmgLxY7WUoMxIa8WXFoFLRq8Im3TZTVn+Xv9O487ijhqbf95SgtRtgABOyD/YIHnFHG0OgTbUg6AeI3ejTNFpxK0RJMhO8Feda1IUboLqHZ/JC0FvV7t5XmA4OVXC7eLdfaDS7oKEUkz2Gh8v7rHxWuNiic8uaLc3Fx69dVX6e+//6Zdu3bRDz/8QM899xydccYZdOKJJ3rxFRo24DltR5EB9QkRQhYUUMGZbRjCiCqGiz5bZcz5u2MZuXWDBCW4gMgyoriov0YktywDAQEOtvEvNmW1r7QV0B+aa6a9gmwQhDMOsID+tjLbpHX+tmKXoHj/sWo3ZVROEtlpq77D7MTDQJIzTrz5Zxf41auB1ORESs2ynq9wzNggwneivAFZKrQwgzML4K9M1fTCwYZwH5x9nD+MxzaGIAccEjhwmE+hstEy092tFkCuQXG0Ah8rwcNIuWwcRJNh9tfYBq9LqO2NZX2vHPFHloEzxW4NOF7rkGVRUWw4hlbieuGAIJQdcI6xaI/FwTPcXxY6UyswOCj0zJ9r6Zflu+jK3g0d1/W5xQNDWolsLWjYG3ILRUAGz3M4cGCKW8rJ0+vMt2aKteGzK4IDHmo5gszWwd6I+WpHw3SCyety6fHfVotacLkl1KAWNYSB75QNwuwdzC8EcHbvP0QfXtJVUNDdYJ3U31sOosYaqC2/7KP5nqy7skAiMqeh2gkxK4ZRt1pKQCbRisGHYAieg1CdO8IB34uSJTgLVn2KYwEwqh44rSX959fVJkNDTpRYlaRxQCsS0SrsfWd0qGPqGchJFbemlBBUlQRNZUSVwVbsX39gK3a2nrqPoVxrY16hGDckEGRHOFqkSMkP7GmVK1QMCHS4EiKulSY0a3jef75gmxiv01rXoowoOtRgbUZ7vupVkoQuU6HB0nrk55X0xvmdA9r+AnhmWI8E0A62BXJycmj06NG0d+9e6tmzp3C2jxw5QgcPHqQbbriBnn32WRo2bFjEN00jNHjjsEs+XN2nsXjZft54blloJq/Qb9AvR5ZmvC9L88nl3W0jhpH264wVeFHlU0QGEa3IcHoXdLVe3GMB0GTHzdsi7hH3PA3omuwyhIiIrNeQjXnUFIUDFsWSI4eFASjXPfOGZjUF+DtExtXifXZq4XbUadT5Y6PnDblWWjL9e1gPYeyc+PK0gPdb1QK5xRNntDNFkJ77ax1VN455xcfzRTbh+ZEdAvo7qs+jHO03FTvDOFGoHUZQCAbUoBen0Nkd64o2aTJkyqRXrAbZDkNNlBc1tmUBFjDCPEGgYEibmo4cOBnsJPy9NkfMLdkAiEcbGC8hU2hBm0cwja/hoSGthII8zyHsAQiWxTKhLT+XY06wFvyyAgemCo39iq8BDjLYF4i9wUFGGQ3ENvkeqU6mrFjOImD8nhW7CuiUV6bRa+d1opY101zNd8wVBCGxRvF1ulmDkqR5y+3C3M5bdX9W65VjCWSqIHDkhSYEsq4Qb0KwDPeZ9xurtVNmGX19dU9xHrgnoFOjQ4bV8ohn4NrxCwWVGGu83LPXKVCDC8FSBF3P71aPVu3aT4NbVg9qW+o1mlb3Z2WxtnGW9qbPF9GsTX4Ve0YkQQQeM2jroGwCDraZwTbF+yK7z2wHyIgksJieUpFGdqoTVN5mBvIpfoCgKtqHYi2dcENfT48tZ8JxD3is/F0nnB/rtdGdgtraws4AsyoaBxsBpg8u7ir+//Hf/LX7q/6fvbMAc6tq+visu7tr2+1u3d0oLRSo06KleKFo0ffFHV7go7hDsWJFitQplLq7227X3d2+Z07uyd5k47lJbpL5PU+6sSY3V8+cmfn/S+s0ZtuDfNxh55KxcMt3B9lxRAG2Bj788EOIjY2FlStXQkBAAFx88cXsecxof/755/Daa69RgG3DDLY+1INisV82BlFMjEc8Eyy8X1xOqMxgy2S0+coVvdmK4Ysjnvm25IymOpiV+XxnLhsQ8AD7vvFpcN8vR7pl2LFXDC8SugTiLLHofFCJ226SAWJgXDlbPShWlv9okGDjg1n8nZp6JtUHoDiwxIs57mN3jlEtL8YLAPfffG+LwgubX/TxBK0uNMSDYSnoUgR2Ue3z1TBBID4a+Ww/e29bB9sv9Q0mxHEpTn5pyqpZwhaGT9jhdjZHiZWvG/wdrPVBOBjxd3y28wIr2b16cLyk4myavh8zmmjFhL2JxoLl2phB1KTOLkWvtLg3n4P6BOhhOzI5BMamhYFUiCscsAQagwu0UsRWCizbFP+OumZuo2Y9xwVD4W0jTCBObaCPgRg/VjIiA5QBtqbzvnh9cDVgFGC6tHckrD5ewgacxpTpizOk//3jOAtKTKnS4MEwngP55JQpAbY2YU1Lg8uqrh5sKrhPrhB5G49LC4Md949V0SzhiHVkxOsdKzdQUV1bhQ9OyhTWNLNqClMQi2xtPVcBG06VsYpBSwfYYgX0IQnBMElQC+eJEjytiq8hppxn+TGDH4PniOenZShFP/OENi1jqyNQbwHt+cQB9rcLBrOJ3VgTrjchvp7dLNuslcHWOqls4r6kC9x+t49KYuckvPFrhxSuE4ZO+huDWGDRk2spqC0r3zbWcBWx2xLxXbt2wZNPPsmCa3UWLlwI77//PlRWVjKFcUJ6+AlePIg35f9zuKK4+DPFgbO7phJxmYmcqc/Y28IDmy2HMovXdcLFTCcOFLDUmWeVUOnzxuUHWKC5etEIqy4jD35xG+KFQV+2gw9UcJAjvnip29GISQvzYzPgWAkhzmDj79UUwGAgjtY7GOSpB9ialkVbz9Oc/jGS9UAhuy4o7LVQlVU9S4rsvlDJyuXvHZ8KwxK7BljiFr+xwiBRX2ZXfOyxbaNhwIzrEFVsTRmAm1LabQziAS2uH3ehpK22qRU+23GBLft1QyxTfmyIl7phn+GqVciOD2xMsfdBJWwswb5rbApcNSiuW5UKluxhSbGUATbuR0MTg1XO5Vj2qc6xolpWuaTJhkZKMMuLXtjDEkOYswNOjhmSweDncG6Dh8FTTKAXE5T89VAhCzBwm4snB/w09HaLM/p8ggq1IzD7uvZECQtOjFG5V59cRltCDPSwVx8nTPAch+JThu63vG0GAxhT+npHJiu+CwN9RwLXs5twLhFzWWYUC7Lx2ioGqxNendFdXR7B44w7Upg60aeihs9bUawQKIgV0F9Yfxpm9I1m12P+dFZ0oLIFCzHlOshXyd7cauY/PqufwgnoZHEd3P79IXbf2KxjXmUT3LXisIreC1abSN273jUBClZDOdliobmtW0Ymwdv/noeZn+yCG1GrY1AcE+f75vpBJlvi4bWZu9hIOVEvbkn1FpZtUHwQO17UbQelEFWVK2b/IiwHb2tr0/paS0sLtLc7rs+ZrcGyjneuGQi+LpoHxOg9t+lMOVw5IAZm9O1ulSbu3blpeAJcKpp97uqtdlHpBUkI9mZiJhwcJC2d3QeCZXqAmNqDaS48WFX3SUbLMDE8QNNXxoX+0f+cKTfZm1gT4tKq7MpGSNcjCCLODGq0o9EQcMwfFMduyOGCGuX7+DVfvfqCn+hxveG6EQ8OxO0IfGZ02/kKuPqLvdAr0k9lHV6lRRzMVLadVwTYykGZ2va988fD7C/2laJ1CwbguJ7Uy+Hwt+vb1j8cKFD5vZoCcixfNVZgSx/8fIBfhxMXpvZ2aytp4z2DGLxZMruAFnI40YEe7WwySOJSWb5dTPoJwroVVwZxlBkJkJ731EoDxSWCqC2ApaYP/XZM+bwlS/Z2ZFcwMT2cXMTBO06+GWL5lxzmy7Ypr67Afmfe88z3VawS+fVwEbuPmbeHNagniwMqsZgiliHzQ80QVXNtATb+LgSDa2wrwXVrUIAt9GjgxCNi6uQZ/r9Nd4+WTJtB7mCA9uAk1e28PbsClu3MZfuAensNcjC/q+XK1Oo73lLTYaTdnLmoV1fgNQkndLT9DlMmEJJCfNnEOKrx4ziSB9j/nitXvgdfNwYutsYz7Wh1uS27UpmBNxY8X6K4Ko4h0Jatqz3Q+kkf/ttOltTCbd8dgNhgH3j6kl6SfgdedzAJhm0N/ByNPdXGgE4HKDaLNrsRogo/KRNQQaIM9hLh2MMJXfVJ3cf/PM5cIRB/M1wT5IrZv2jAgAHw1ltvsVJxPz/Vwfmnn36q1RubkIa4YB/okxIOlZX10KahjBQPRBTpqRCVfosZkxIKO7IrlbPe4myipt5qfP3nm1UHQugvKvYYtTVYXozZEeyFwd+kSxzFkvAYCtciFxbaer4Cmlvb2aCQ+6zyAE3fLDO/cEu5rjHQw9lGDHxWHS3W2w/Zpc6szY9R9/eJe1f5dmlWU+31FZ1oUUQq2KdrvWw5Vw4PrjzGZkO5vzV6neJJGtePeBbUFOVUXYxOCWXb744xyWoqtKrLXyxc/BQX+06T2jdQJEV8zFrLQkn8NbiNTR2g44AOVz/u2hjwcHjm0RiPYVMQq8eiFzL2xk3vEwVPTDVuwIOlujh4xQkBsSMA36SmDMyVfcQaBNKUmRcrpF5QlAf3XewbPl1a360k3JIZBS66xEU1DQ1KsDJk5a3DDbayeWNWlrLHWp3+sYFwsKBGKSCGE2G8RcrFyPJX9VMNF6I0tpWAT7zx38BLck3B2tc7S7Doh4Msm//ajCw2jsFkASqGG1KGjoEXTnBoQ3y9NTUQE5eIc8FDXxsE2M+uPQUfze+vPK549lrRnpZkkg0ZtqvdNioZduYcYMrkG0+XseMCK0YQbGMx9nyqvtxopYk3tGi6dWSS0ZOumP1U8eN20V9RZyn4voCTY2hlyyeTpSK3shHK6hXK+EU1XQr5xoI2o3hjwoE6vOXNgfvK940JgPHp2uO/7ULsgcrycoohpMLsK+itt94Kc+bMgalTpzLF8JqaGli+fDmcOnUKtm3bBq+88oo0S0qYBL/AaytlxMzi8n35bLClPqjr6pmwr5V/ML+G2RyhJ+HIZNUebGsiHnzjDLermwv8b8NpKKhphs+vGaAMMvhgSl9WUzxbLhV4QUPvTswmGTKgFpfeuqidUPE1fQMVnKD5v5lZLHBbvEKR8UWBC7H/IVf0xfWC206cxeEXBHwP2mOguExNc5ti/3VRvYBL3d+rXj6tXiJ+eVYUswfB33iqpMtKRVyOuupYMatCQLVhnADSxqdXD4BfDhWxSQIsqbaWWBiW7WMgistsbgbz6wWD2fYQe2JWNSoGHVKWteuDD3w1eeXqA4XtUEdh/sBYlQwZ+kr3iw00yZOeB27LduWyQaW4vM+a4mmP/Xmc9UNyWtX2MUtmFPixhK0yiu8ybNuoD8Bx0FnR0MIy2vzYFyu766pauqhXBBvUpUcoJpWx2mTGJ7vYfVwTxgz21SdacLnY5xi5PaMCvFi2G8+J2Bts6YkouYN99BgMYLUHBth4XUfvZ0PgJf4YZKPC/G9qEzPiyUNTM9hKTRqxjZgVKuXUS4JvGJag8XfcNirJLCcAPjmK19hHfjvGJuF425YpFYHaxjhf7MplwbyxiH8vXpf5eeWZab2YToMlrSD1Zeeltlp85PdjbCIUOSBUX5wrr2cTFFgBdGlvw7QP+CrD033X2Fjac32gjzs7vsRjMPwu3EbYlsgnt8Qe4o5YbWP2Wk1ISGAB9UsvvQQ///wzKxdftmwZJCUlwf/+9z+YMWOGNEtKaASzZdtya8Cjo12j6m9X6a72FcgDNuxhwxJe9GEV27jou/igQNexwlqID7G8uIch8MXlw8VGG5WIi4NNzOS5i5YJe66/vn4QpIX5wl0/HTbohFxSqyil0aQSag78gmDI+sHAj2UnXV1YOfmVn+9hy/3brcO0DkhXHy+GVzacgWFJIcwDmfeWog3QP6fLYXb/7q0LOEjBABVFUTQtK06WYFkZ3rCfE4WFcIJIfAGXWj1XXUFfvUSc96zWNqOdl0J0Z3BCkIqIGw4S8YKIbRa6wHK/u8elwM8HVUvFxfx2pIgNTLAP9e5xhisx68PYrIQ2NLUb8IBKm22gVNQ0tTIvYNynzTn+w4RWGF6yy8EBAR4LpiCe6MN+5/6i87YlSxvv+OEgU71/ZXom83BV36dGJYcw/1JeQWHJDDY/lniWx5h+Zw4Gr1/uzmXl4NiSgRNbeG4Sr7rv9+dDn+hAGJ7cXQMGexjxxjFngIdCemJ4kG+s2jJm01GQD6/DGEwmWNjOTu6IVdWNDWDFkzaa5ifFGWxTtBTUe7B5BaE1JvLxt710eW/2G/rGBihb9sQBzbWD4+FaM3QuUAvlnCAeh9+HxyoG3Pg8D+7UW7j0oe2abOrYTLzdxOcz9ePRGqiPk03tizZkf+bVbWdK6+GDrTkwJCHI4ABbWUYvamvwFfXESwHGIhsXj2LWqThZiJPRz649yTRqsGXnygGxKutIk3ChI2D2FfTQoUPQu3dvVg6O1lxo0+Xj40OiZlYCd96HVx5jJUBYIqQ1g60lSMYDjFtc/C4MrlAcCnuacLZyQFwgJInKxrEc9+6fDrMBIAaIyK6cSmWfmRwCbH7O5dkDDOg+mu9r9Qy2+GLHB87iCz1elItqmw32qsSMJwZnaEshJZvOlGktWVVHLEaCpZfr7hgJD6w8Cl/uzlPOomuy1mKewWpepTgTrk3EDLcV9hqpLxNXDxYvB58gwgvHM5dmQLifFxMFkzqTgCVyCPajzR0QyzwfcbCBqrHiABvL1tQVxzVZaxkCrmM8BjUpWeOxiL2e3M7HHuDLaunM3L7catZPjCVqvFTc19P4QQTfTqZ4I2sDWxve25LN7qtXJnBpA0sE2IoJq3blAFm9cwErlvCcjyri6FtqySoD9Qy2MX2rS/85B78fLYKbRySqlILixAG3R+Tg4BMrMjQF2LrACQZjQIG0EUkhsCNHUfLY3NZuVkVC39hAdnN2eE86czTh504D9xVxBY6m9S9W4hb7DBsDTp4uHJbAzv14XbDWRD4GqpMFKzgxbKx2tlw55jtdWscmpbG9xdjjefeFKnh14xl2HyfbWICN9pzCJDfqNjz+5wnlcWcI4nUuxtSxmXiMZa02Kl26H7zdzhIBtvokZFlds0l2aXwT4LkJr43oBy81uDwldU1w3Vf7WMXW5nvHdPPBFp//fz5YyCatHQ2zA+wHHniAqYSPGzcOJk2aBOPHj9eoKE5YBk22WWLEwYcmXlh3ig267hufCks3nVOxccHMysdXqWZpMGjFMhXxeVKZ0ZNJLbnSXkJYJTi7KxZlsxZ4gsVJCJxl5dlpFcGrzk6VgNuTNxDpuJgvE3wGpYQLlmGZtSlBJ/bw401bgM1LYvFCj8IymFnMiPLXKc7BB9y4b2JWrVeUP8uIarKU6BLjUxwP902QLpurCT57LM6A4aD+I2GAhX3GXbZlqiizMAYOKHBySJuatKXKu6Tih/35LPOLHt5YwoZUW6lEnLe74K5tTgbbQzgmxX3k5oKD3bfn9GHnWVTYF2NsSbExeHE/emGAzI8bhVKAwlPVz9OdHac8CLd0OSU/TvB7DQWXG3u3y+tbNWb81TURjDk+MNOCk9aPTO4BxvL23L5M+wOrk9QnZAwdAOP2V7gGYCml/fdQS5bB7hBnsA0LXMSTNprWP8+8zu0fw3yzTQEnQBePVUwST8mIYMdOtA17SbHqCdcTKqTjZfd/f52BA/k1zNqSe7MbiljDRNwuIvYcV68w04e2bLepkxKuWgLslYcL2TkCf7M5dpPGgJPg4r5rbZMJpqKuCYH6Eaa4WYjHxzgJxUUipcZf2GdQOBIdatR9sMWVPpjce1JiQTg5YPbI7N1334V//vkHNm/eDI8++ih7bsiQISzYxlt8vOWsWIiunVXb5F1XD7buAL1TuJjhTHETm3330Dtw5V58PAsjFx9svhTaJh2suW1QwVSrPzLzCO4aiE0zsMTHUqTp8ODmfIsCcgU1ML1vNLPreG+rIhOH3P79QXjlikzmVa3RB7utnZVzf7+/gAXjugLs5y7LYH/ReuXpNSfZ/d0PjFMO/PEzjxbVwmN/HFeqetvSJk486EC1YL7vYTk/lnGhYAxmtteeKJUsy2HsgNParDhYyLYfugzwAPv6ofFwca9wi2ew3TSWwRm/zrWJ+qHnLdptoY+0NhsgXYwQbJTUwYlO7JsM9JJ+/fAB2v78apjaO1I54MGJQAwIf2JZhAC4JCNSKfxlKdQnY43JYPPsMgoeYs8yIv449QAbreGM/ewKtZYAfWCggROH+LtQvZtnr4zNYJ8oqYMFX+9n91fdPpwpI0vd6mJP8IBMnME2dOJBnMHW5E3cZTkpzTjBWoEcZ/anu5iY1n8u7gGzBYVvcaD52c5c5XOmJD/E50t/UbuIJlcPY86n1wyOg+V78yXJYOM1n3t+t4nGe1/tzmNCg1kxAVbfLhype7DF4xt0D8JzJh8DGDP0UfZgq4xGpcdfJJqJgbS9ajrZNMDu2bMnu912221QV1fHhM02bdrEVMVfeOEF6NWrF3z22WekJG4hugQLOrXu5Dho0HZRUgbMOGPu7gat7W1sxsmgnhfsK2YnN3n5YKsfwGgJg4Of/nGBFh846kMlgc0u/J0q2RNbsOyaAay08UoNvdDqYAYa+2iwuuHfs+UqF1gUk8FMgzYrMBzE8+yvvhJM3kMl3t9wQkccLOFjHlxH+nuyrChmu3ESYGKPMLh5RBJICfoIY9kc/hWDy8EDbFyO6X2ilb2sSNeFpeu3SFHWbWy5ubXx0qCyHubnyW6Whndb4LpXVj2YMIjjg6RmtUE4DmwwOy+1UmyIrycYV8xsfICNgTROcPH9EgffzVx5uBDY8T0qJQTenN3XQksCrMXi4l6R7HjCMtY+Rpz7ePUD9ofyHlGc6P2/v8+yoFtT6ayhcNVuriZuKKdK6uG27w9CUogPrLhpqPL5qRmRkBUdoFXJXFtJNDLtw52s/NZUCyNHymC3mdCDLT7eNbV4zB8Yx6ynjFGLVweXC0VL8RogbqWzBhhcI9nCMaBcJg3XYH0CqvpKku8emwI3fKOY+LluSBzTPkAM3a85XLtFHXOqNfAzO9o7VSZROs3srTcFLNkWI3UFivinvC9YLqIOi7HJLdR3wbY9vD5jkuRQYQ2zfpU6k+3u5qoUq61raZNdnGANJK0t9PT0hNDQUIiLi4Pk5GQoKyuDkydPQmOjQlGTsGQGW3OA/diUnvCYjv/fKlx43tl8ns2Wi22T/jldBi9tOM36u1++IlOjMjZGs5rsvGyKWlZ/zYlSFvDcNTbF6gH25zsvsCAaheNwRh2zmBy8KIt7MPOqG5nPq7XJiglkN+MyCl1+sWI0leLxUjP8P9g3LBaP0gX2tOUIYmEI9mSnhPmxwT+WY/HgBwO2P28fwe4/s+YkExLDm9QBNmb3MCDgPuS4fJ9uz4E5/WNhXLqijJsLQ4mPR172i1l3/AxUbh5hYE8oenzjb8JKiLfm9NVSbi7PEnGexZOyvNqU8yJOXOEkhCmZDG0ZbHPVvndmV0JFYwsTg7FWhkWcCcXefb5fPn9ZBgyIC2Kq4tzrHfuwLQlv20kx4XynKeOI2wHVxDHowG39xbUDmQ/y3txqo84D+H5+bN86yvD/x/cDzJrlVzdCXJCPcjCLN0NRtxYM9pHnsW0tIv29mMYFXnf4RJmhPdh4DsD+0kU/HNLYIubj4QoLvt7H3vfRVaZpDhTXNcOcz3az+5iZxevaAi2tUpZCHDy//e955giijikZbF5VgqXOqDeCn4HjFQyY0AkEJ+ruGadZQ0UXmhI4PmZMcmDFTYdoIl9V3Nd6Y9L1pxQaLciuJWMl/25NgamyBdSIz3ljVh/lfW5heVlmpEVKxf08FWK1eD3RpAd17/hUeHPTOZjc0zEnEc0+e+/fv59lrXft2gUHDhxgQmfR0dEwcuRImDdvHowaNQoiIkyfUSYMHEiaOIYVW5qg9QwGMYoS8a6MI/cq7SYqIZzE5NaD/chF6fDgxDTl4JgLY9nCF/ST7Tmsx/mKPlHsZIN9Jqh4zREH2FhOOyZVc7+tXOB9ReplmBxNuwDfL/C38sytIf6uqGqP/tYc7BGfNzCW3RAefHNBIcSSe6C6p60r93luxwtIm/I9uJzi+S4eD6DdFguuk0KYIIoh4LGFx6CmTGmX76qr3ewrOOOOwiYTe4QbFXiYXiKuENMzFXRGuGVEIkT4qw7QjfU3VufDbdlwuLAWXp2eqRJg40Tg2bJ6tn6kFrkSl2HjAPSyzCi2b+FkFU7+iSdCsA9ZrgxP6j4QxMEsL/nFLYIBAd5uVsy7GQz2quKEFu+rNRTxte/JVSdZHy62uRi7f3ChRI417ezkyAuX91beR99l7HHmLUeGrk8830ZpsPbCY5j7lZuKOEOKZc/YsmDtAFs8caatJ9oYpW/18wWOX3CCEUvR8fcGenvo1AbRxwGRNzleI764bpCy2skUNPXudp2fwWqMSQllVTSYobdEYI8tdauPl7D7ODmKxwLXzzH1OlRv4So4fy93do3B/bJLD6rrdT52M8VFwh4w+1c9/PDDcOHCBWbLhYJno0ePhrS0NGmWjtCL0hvZxH5jPisMohlAPsPIezTEJyl130GEj8vkUvqhfrIwpwfTXBTrpJNNRuDJDEU31hwvgaKaJlZCJM5o40zi9UOte3E2Fn6hVgzGu+9zLlpOsv1jA1lQzUs6DelPigrwVgmw86uaVJQm+YBaHBhYchfEwEf8t0vhtgNKheXESRLMaKy9YwQ8t07x/3imkJcpGlOloLSB0TChgf7S2Nsc5C3PQTjPYIvLM7/flw+nSuuZeqklA2xxibg5YCby9tHd/VlNEZcxpPLonzNlzCcd/bWlDrBRXI2DGYWFwxNVXpeqF9UQUD9h89ly1ot/eWYUm9w19PqBpbg/LhwC85btYWcgdK/oFxMAF4QJN22Tf4aAlSLLFww2+v+Jr4s4OXGI2d31hLPlDXCqpI7t74a0AKlrExhS6ePocOE3DCQDjAzEMChB8TlNoBUax9TkgHrVnjXHGDj5ghPW40SBLv8dvaP8mSWf+vPGIK6MQhFTbH1Cnlt7kgndLh6TYrQ6P7LupEKHBMEAUVPJuLl02iCDjU4Cf9423GL6IlcNioNLe0ey8cbcz/ewKqSXr+gNn1zVn016mIKlq+D8lc4q7axvHMeAsaIJZV4pJRbRcyTM/lXXX389rF+/nmWyX3vtNfjrr79gxIgR7Na3b19wd3fMFScXsFf1f3P7gbuWFDaWX6CyKQ6mRqd0F9bh2V3koYvSoLWtUynMpclqCC8oqGbN+l6EN1yaGQmZ0f4WHTCbg7GlZVLCL8Dvbc5mFxbsnXl9ZpcoEp4k7QllUNuOkwbdX9d0QcP94hPBM3jmJ7u6qX9qIzrQCw4Xdj3GwQSKnPHeJmUJcnsn3Lh8P/PZxt4iS8EFlfBCiniIRHIKa7oU2DFTjxMRGCTlVTUpJ6J4oGmM+AkfGGkKFJ+Wueom/53igIffN8dz2BDwIn7byCQ22MH1L3X7Ct+mpo7fxGKRYkyxXTGUawbHsxJo1E4Qi/JhVQFmlVCV1lqcKK6FT3dcYPcx6/Pu3L7s+DUUnKSKCfRi/a848MQWFz5wP1/eyPzhsepgWqZ1hCM1TQ7gRDVaIH6+M5ctoyEBtnogFGhhv3h74D9/HIf9edWw4sahRnuzL9t5AbZlV8L8gbHMHk/Mhaqua6+pyYFuAbYVxxg/3TQEimqaVcRClaK1aucVcfm0oYj3RZz44xlrPL4weOfBmTmkhfuySjWs2DE1MMXJ59aOTna96XLVUbxm7aLKSAsqyOP24PolPInE3X6M4T+/H4ez5fXwn8k9RE4klrkez+wbDePTwtjkrngiSNwCh2BbjSNi9tl7wYIF7IZ91nv27IHt27ezgPutt94Cb29vpij+yiuvsN5swjIH9LzEUKisrIc2Db0tZ8rqmU2D2BtUDO74qFyKqHtYK/tYRM/hhWj1ItW6O5yBtMQspKmsOlbMfHCxLxYPan4h8LNBBpuf8Png744fD8E31w9SXhRx/Y9NDYXN5ypgULxxJ0pbIO7BVrEcE4ImfaVGXZk//d+lLoSGAer4t7cySx8cXIgHAFh6jVYrxqgRGwu2HeAMMooWIR7C92PQiNkEPAbweENqm9q6Kfzz4NIYUR2+/9ja49PcyRgOn2QwR1jIELDsGntocR8duXQL21d+uXmo0aI8uJ9zr3HUD8DzCQ5q+K5vauCuHAiqbVdzM+OGKruiJ31JbTPLAO+5UKUsPeQ8N02h4m81FXETSgQV/6cZ6oUsCN/fUDRtw6lSNlFsywAbK2vMHehbMwMnRz7als1E95BJ725jA/YlE9MMLmnFYxeDcywv17UPmnocq293a07iY9ZSPXPpLpTu8DEdghONEe8/SvQAAQAASURBVAGmVULgxAS6fmBghwKn2KpUXNskWVnx2bIGeGH9aXZtnDdQYXlpLLM/2w2FNc1MrJVrySjtDi3aNGY7+ESOOEFmKBjMYqUdBteWFkqdJVK318TDF6WziVZjW3LsBcmmR318fGDs2LEwbNgw9nfVqlXw888/w7///gu1tbUUYNsIPoATiZOqMCYtlAV/6srIiCbfOnsAS/RWHilifVc4IFaeRGyRwdaw7t7fmq0iNPHMpRlsgIv2RXJH3FcrDvquHBALs/vH6M1M/vfiHtDQ2qHMAutieFIIu7gjKGyGn41f2dDSxgYWuAzJoT6QXaGY/cQxkiV3VSxRFM8W8wwtDuDQqunG4Ykw+d1tbBCCquy8OoEHNbz1wpjsrbh/3d64fVQyXDckXpn5V8niWzjA5mB1Ae6neDNlEFFS1wxXfbFX+XjegFh46KJ0lknrEeGnUu5mDHyCSb0yoUucBywC7/HFDDZWfWALBpaTinlzdh9mNWdJ1AMaUybG+P9B27FeUf7Kyb864XwvtQ+tLjo1tMvgvq4sVTVioB8rZOatufxyRb3C69fDRfDgpHSD/z8vk35vSzY7P4sRj2tMDbC7TRTZ2NFB/bQ6p3+MUWJ96vBJYbzWvbj+tLLFCzGmF14fO3OqTA6wNV0jUZQXlx01NBwR3oqAzi14jUIdDUPP2eL2JF7dacnExDd78pg962szsyDY250da3ziEIXVLOXD7RABNl5ATpw4AVu3bmViZ3v37mVCZ71792bWXRMnToTERNUTGyEd6PF54EQJtDS1wCANpSI8p61tJo/3QODACwOF7IoGlqHDDGtXibj+frr8qkbm9cvtlWwJX1w+uLFpD7Zw8n/s4h5sphbZcq6ClUpjlggH6Sj0gJlRY8vfbAH2iF89KJ5dXLEy4KJ3t7PncysbtVYxYPXEVV/uZZM92JtsaFYGS9I2Lh6lXC9H0UZIUA3Hk7SPqxv8eONQ+HpPHmuFYCduK85Y8wGG+MKOy4oB9q4chRozqmP2iPBXUec3KcDWUI9/3VeogAus5cDYzKw10DSJwgNsLxNKFo0Bvwf3yZrmVrNsU9TL+X86WMACbCxpxJupaOvB1qS0KiWoAYHnnPL6VqW+Ac96LRiaAAuHJTB1ZUvDv5Pjb8IAD0uusToLMyAoKoYVLwnB3uz8Ul6vKv5kacSey3idwYEr7oNdJf+Gf9b/pmfBquPFKhNTzoqfWm8mHhfGTDyIvXjVER9jps5l2DKDre83oWAfHu/mUFGvOH/iBKX6dcuUsnNtuEhwLhFfh6XWr5AbfLJ467lyNhmH40fDA2zFX0WywrIZ7KrGVli66Ry7f+kHO9hfHK9oKhd3RMwe0c+ZMweOHj0KXl5eMHz4cHjkkUdg0qRJTEnc0rS0tEB+fj6kpHQvL8CseWlpKcTHxzP7MEcFSz1u/Ho/EztaecswHRlszacw7GnFkzLOYGHWF1Vs0fMQA2zs/8qI7N5bvfjHQ0ywCz06cRCAPTQ4s7xodJI8Amy10txXZ2SyjA2uI2vDL9w4+YB2Z8U1TeyEiP7NOADDfsjH/jwBgxOC4IN5/UHusBOxUJWGGSMckC/blatTuAs3B7fn4t7phiKedKgSlLTRK1hMlzqlC8wfFMvKeiOsMDhFq62LeoYzGxnl8goD7epGxbKKJxO4YqYx2VvM1GOfmnqmFAMztCKTlT2eAXQF2JYNflBh/tqv9ikf4/eZIvSjrr6rvu+ZSleJuOrzmpRWpQQrMPC2I1vR+ya2+cG/1prkk6JE/O5xqSyjhhOWGOjM7BfDLPOwReip1SetmgFGkZ4gb3dWMYFBHQbYC5fvV046GrPrYTYeb0R3/2acvDCmbF6XCrt4/zC1FB8/g5dRWzoTaAjhoolWF2FS2svDDdLCfE36jZvOlrO/e3KrNJwLTeuZRnX/Y0W1kk1McGs7TZPQjgrvmebVOsacX7rGx53MJqtUQxWTVLy/Jbvbc3Y0XDEbs6+mEyZMgDvvvJPZcfn6+rJebCwXtwZLly6FHTt2sFJ0EGUtX3jhBfjxxx8hODiYZdPx8eTJk8ER6RJ10HxyUfaiaNmpMZDG7AHOfuFJVDwIntAjnN00lV1hwMr7PyzdN2gs/LfyNWKsCISUYOkwrh9Ukf1oviKAnr9sDxsYYllhm8wszkwvIXMxyNt1zfFipr49OjVUJetj0HdpEQnjZbb4NTjBo8m2wxJg8Mv94bsF2E2KmX/xZs2I8mdiLCjOZEwW+LsbhnR7XiwwY4vKDENA4SxWvhvpz84vmAXh+7s5tiyGoD6haOoMvfq+hi0JUnDt4HiYkhEBfdX853m8bclzKdrIoWaB8jvV7Batgfh8h3dN7cnXVFLPPctNsSYyFZyY2LB4FLs/V/BFxusoVncpls8+z++2Rn0bGltdgQEEVuZhC5M2QapINQs+Y8AqCSxZv3VkEpTVt9g8wJ7dLwZWHi5iASw6lCxcfpwF2juXjDXrc/Ecjor44mMWXSxMgWuXcFCHZvGY7k4Nxp5LWkWzlZj0wWstOgyYqrAtZ/j1jLvQGHN+UY6POzvZZIclyReJl6E4Mh4j9tZyatMA+5577oHc3Fx49NFHYfPmzdDQ0AAeHh7Qr18/WLRoEYwbNw6kpqOjA95880349NNPISurS5EZ+eabb2DdunWwevVqiI2NZYH2kiVLYO3atRATo7vh3h5RzkZpGRzxST1tOzX2ua6/cyT7nMNCCS73wdYGXuRqm7vexwdmcsukqYtw2QJ+Artp+X4oqm1mvrd8W+Di8VlX9ZJJuYICQisOFEKYnwdbfvT+1KeMze2skGfWnGJ/V9w4xOAAG4Vuvtqdp1QZ9RKlwK/9ci+zfZLLIHZMWhgLitHrGSei1p4ohcuzomBEcijcNsr0QYQ6fHILDzlLZ4NNZfeFKvhoew4b9GGAjZvn06sHsEy+v4UzpeoBqq+JZc/qE0dYWo38sL8Avt2XB1MzImGRBhsvfaBliSaemNKTle1Zsjy4qLYJPtyWozLwQbASBUv68PdwtVpLIZ508/N0N/nYVS+p33i6DFYeLrZ6gC0GHRMufk/ROsOR2aXRbsDg2ByVbqy+W3fnSI3jny6XA/PHCXhtspQ9k7FwS0fekoatTKYeX19fP4j1z2Kl2uN/nlA+j1VbpiYFUPiKOxYMSwyGd6/sB+agqY3q7c3noaapDYYmBDtkgI2T9ZN6hMP5igZWxWrMhKx6hacluXpQPOuvn9wzAnIqG4QAG5wGs0c5xcXFMH/+fGhvb4dLLrkEIiMjobKyEnbv3s16sD/44AOW5ZYK/Oybb76Zfe/IkSOhpkbVWuS7776DefPmseAaufLKK2HZsmXw66+/wh133AGOBh+naHP+xMwAZrh0nQz5Acd7FJuEXlF9s2fcpL5NZgG2OIDFGb5Vx0pY2Z61FGU1gScWLMXBNcXPhSzAFmZd1Uvh5AqWev98qJCVLYv3ExTaMGQwzTFmX8HrJgqEuQmzteIS6xyRCI6l+oiM4epBCqEW7AvfIKjfWkKgjB97+JvlMLGgq0edZ9vxuDTEqkgK1HcvU0sQFX39XdUweBwjFQ0tzIIN1eKlxBptLGuPd/nQPjQpHYpxtlQAW31uGJZg8WXoHxsE/5ueCd/uzYNUEx0ovtqdy/x5ETwEUPfgkd+OKV+3lUgYliXP6BPNWq4Q/J1iD3LCcNQDalPO8dqSC7hNfr91mNmCi6V1zSzJgOXZcqhEU7/emHNdxMw1t23l5ya0nHtgYprJn3lZVhQbL6DwHFpxmosmkTNzbRTlzuVZ0ez22Y4LTDTXmN8Z5uvBNCtwYn7l4UI2ETkhPdwiFnOjU0NZMgX3neu/VrRsUQbbCD766CNISEhg2WR/f3+VLPOrr77KvLGlDLDr6+tZYH3rrbfCJ598woTVxK+dOXOmW1Y7MzMTDh48CI4IL4XUlsE2ZnaQl+nxzDT2sn20LQfGpIaqKHfyA5ELJCizCDI5m/HFwOXCAfGrG8+w0l1bBNi4DjEoRRsJ9ayKPZaIh/goMluVDa0qmVNdWQA8oeLPE++ixpxk+brBDMGAuCCVfiG+z6EFk5x82MXVEyIbaJO47+cjcLy4lg3UebsDD1qt6btqspWIBH6pxiKewBmdEmryQA4nL3AAzttm7h6n0Pvgk0umKumiDzR62GLriCGK+lLSM7IroJ3UM5zN9F01KBau+Ggnm8yyRuYXS6rNFYoTb2MU8WwUTfihpR6eK2zFXWNTlAE2WkSZIrBHADw5tSd8tvMChPp6MjE7Kc93uJ+jnZ+5XPHxLhbQoYXY/IFxTG/FloiVvqW0RMTJ0R8PFMBhIftsDjzbLMW5ZlBCMCtXR997e3fAMRbeHmfM73xJaGvDMcqINzazcdnq24MtNpaoaWqDI4WlzJLN2GUFZ89go2r4ww8/rBJcI66urqw0G0u2q6qqWD+0PlCNXFtZb1paGhMrQ9Gyhx56SGt2G/9/WJiqQh16cJ8/fx5MxV2mJZgIV0rF1WbucvIDDIMl/Kz61nYmxlXZ2Kry2by0t6m9gz3P++A8UEhIButq0ZhkuGF4Ivs9KHaE4H1bLBtmMk8LJcw8k8ZPMHiM8CGhtnXnJmxf/tfWhAt+mlgCLS4jxQy8rvWLQbI4CPfyMHxf4RkGtJJ7Ws2flw+yXVx1f7+1wP5PzC7XCNl2BCvkcdlmf7yLzdx/eFV/pV+nIdsX9Q4qGlrZZ/Lf2CzMVmDPnxx+tya4cBUGp7iMuM/8fqSInT9QkMqSeAoBDU4CvTPPvBLE64bGw6fbL7D749LD2G9pESpPfD3dda5/bdv3u/0FTFDy/olpsCCiK2P888ECKK1tgUsyIyEpVLtwoDnEiiai8HjG9hS8bvLD00fG+5SYAFHpJy6vuAdzYq8Ii1cDaNu2Px0ogCNCuxVS2tACKTIQ/7RH4kN94c6xKax1YXq/aDZRbq1909BrL17bMMDG6o/hySGQEWPZvlZ9vDw9E347XAjbziuqO3ByR4p1Niw5hHmQo1iruZ93oEBR+n+suNbsz7prfGq35zqEmiNPHeMMuY2tjAXP2coEjZ7xlzaBY570CPDxsNhxtfJIEdMF4HgYMfYzBzlsX7MDbHd3d/D29tb6GvZjNzdrLx8V88QTTzBlcG2Z8qgo3RlI/j34vWLc3Nygra3N5AxxSIh8L47lrYojpNMFzF7O0CDFgK7dRfGbvb0VAZS3l4fKZwf5Cdkgd3f2vKtg1xDg7y2LdRUiup9X36Y8gdhi2fhAnxMR6g9J4X5MgCMi1A9yBascX29PncsXGCiP7KxvgOJYx8E42lFxJveJ0bn8feODWW/YQaGnLjTED0IMzB4E+Sveh/uZ+nfgxAQ0A/jKZN/7YNNZeHn1CRjbI5xNDKAwm4+vF1u2hrZ2FnwHB/l2W1Zd2zcC11NBDbS4uCr/X0BlE8SH+EBcaPfPkgsRIYrzSUun4txU1FQDr288y0opbxxvuJetKTQJff84+Wfu+nloWqYywI6NCmQ9fR0uis/HfdiQz1ffvnhORby8Vc9Lvx0tgYO5VTA0PRwGWGi7Th3gDQN25kJCqC9EhAWoCAgi4WH+Fu8nLalpgq93XmATIHeMT9PqcqGLqNCu9dM/JQxOC6r6vP90+a0jwBqob9vs6ib49VAR28+n9Y2GI6UN4B/gAz2jbBt42SuPrz4Jfx4qhKevyISFo7s7xlgafddeDLD5CDcqzM/m5+OrRqXAuMxoGPXyRvbYX6KxD35Gr0TDrKD04emhGKOH+iuujVLD83TBwXh91D1RKZexlTGsPVoEi77ey4T6vr55OEQHGb8ey0RtfbGRgSadgw0hQJSImdw7CpKiAq16jNhy+5odYGP59ZdffgmDBg3q9hoKjKGiOPZlGwK+3xz8/BQbDZXDxeBj/pqxYOl1TY1qyY2c8O7sgGemZ0FnWztUVnZlSjnPrznJVGPvmZAKGXou8H0jfZkZPJZT4mfVNygOwNbWNpXP9nN3gWAfd2hsaGbPz+sfDWOSQyAz3EfjMtiSkgrFoMvLzcU2y6ZWkdFY3wSvXNFb+bi43ANm9I2GPlF+GpcPZ9/wBFFT0wjt5tYaSwRmTTFQ5GWziL8r6Fy/n1zVn824DvrfJva4tqYRPNoNKx1uEbyMf9mfD1N6hjHBMA6fm5z3wXZYPC4F5mpQi7UqQnuFl6sL9I0JgL251VBb18TWDRcma2lUHDeGbl8/YbY3v7xO+f96hnjD77cNZ/fldsxxOloUEzC1jS1sGUsrFMuJVdWWXuY2VNAdnsAGv+Z+V4XQd4188e9ZVipZU684N2o773K0bd+2VsW6qavv2heQFuH5erXnpebzawawv/gdOAnxsiCIxL67thE6mjRPdEvF6aJaeOsvxXcezKmAV2aotnUZhLCusEc02tsNwuICmHUQtq9sO1sOJy9UKJWiLYG2bRshCPjhAPZYfjV8uT0HFo9NgVtGJVlsWRwaYd1W11n2mDD12iuueG1vVh0r2Yo6UfDk4SK/a8Tz03rB2hMhMCUjUpJlw7EFjrR4dSCvqsRxRqVSQUP+YytDaWlsYUPLUB8PyApXBJCGrsfX/joDB/KrlS2TKFpcXW25GKdTGCfi9fjeCYrefWvsj5bavviZhmbFzQ6wsRf68ssvh1mzZsG0adNYMF1dXQ27du2CDRs2sKy0tUR48LvRj7uoqKscASksLGR94qbSJgok5AYGOzeMSmY7rKblRBVO7Mm5vr5F7++I9vdiNwTfq1RlRDEu0f99fEpPduPvGxAbBDyukcO62ny2HHbmVMLghGBlZgaFPmyxbOqHoavauhyRFMJuiK7lwxOEHNYtF/HhIluc1jb9yye2AcKJK0N/j3gd3vH9IaZoigNWcYk4lhDmlDfYfB1xC5KGljYmjiVeN3xCwg1cui2nru3Lrb8q61tt/vuMwVO5LtrZcjcIZfOYtbT07/B2c4XFY1Lg4205MPL1f5lNzz0aSgkN4ZyoxQMz8DcOT1D2leP2NuS3qG9fvm+0qT2vrHLG8j8rbusfBR9ftmxq5yhLECnKauB1xpTv472lKGSJ/x/X6dJZfeCGb/az53MrGtgA1NKob9sIkRexn1DBxMo57ejYlRNcq+6Nv89CXKAXjE83vW/fFPRde8XaM95uhp0PLI7oWntJRqQ8lkkEHhez+yrahMxdtsf/PM7cOrB8nYuM8p/fYcC5RU5jK2PHGXgdMnbZs8sb4GhhLfQT2tQsPTb2EJa1udU269mW29fsAJsLnD3//PNM0IwTHh7Ogutrr70WrAX2tA4fPhy2bt3Kgn0Efbn37dsH//nPf8AZMUfsQZeHNipn4kE6Ni1MNurhnEMFNfD9/gL2m1PCfG3qFSxeN+nhfmYrlsrFIgKVh8WqnWIlYm3gLvjctAw2u2zM9lDPQonF0lANk3+3HMQzuGLrzuxKZU9rkLcHCwJ4gI0TFMaA1SJ8EsGeQAGvD+b1U04Q8N+vy9JNanAiCBXozeGunw6rPMaKoDBfT0gI9mbb1pzzgrr3NM+8oGiXNcFJD+UEkBW+WnwMZAs6GaZqhqBOCA408dgTf26Ir2WtxvQdrwhmiuRybrJXxEJYx4rrrB5gG3ONR00GuayzwQlBbL+7ok80ODL82OL2ZMjrM7PY+FUu1mlSw0UTsysamasLBsuGiuvxUxH30La0UKqn0g7PviYxpECSs8GQIUOYDVZpaSmUl5ezcmwUI7OFfQx6b99www3MpgvL1lFpHHu3L7vsMnBEMEO741w51NY2skyyOSqDVQ2tLPOLglWTekYog3NN23Hesj1Q19wOL1yWwWbs61vaWAk691SVh4p4p83Vlvl6f/Hy3nBxrwh2/4lVJ+BMaT08OCkNsqIDWKCKA1xb+bYay9OX9GKTGGhzggqqiFjBUxN3/ngI8qoa4ZXpmdDbyF7EcWlhcM3gOKXnttgHGz1nX//7LHy3Lx/ksPqw3ArhwfXc/jFM+Aa9KhG0izN2X+SDBHGAjWJYKKqD+9T1Qy1vq2QKKGaGVSQcHsB5CZoNlgSPfQyET5bWmWXThSwYGs88okN8PKCkroUFdJ9fM1CS84K6+L4ywLbyvhwf7M1UXp+Y2tNq1228VqDLQ2a0ab3JwSIv9T0Xqthkb5AouBUHutYELciSQnyYhSDXqaDw2nTE10VbTZTrQjy28jXRVcAS594P5vUHZ0CTTRc6RzgyYgeXl9afhvsnpBocYPP9lVchWvqY8hSW9aeDhUzsbNk1A6GXyAnGkTH5CoSK3x9//DHk5OSwLPb111/PAtqICEUQYa2S8JQUVdGLwYMHs6Aava83b94Mffr0YXZhKLbmiOCg+6qPdrCTzPb7xxqVhVYnv7oRHl91AmICvViAjVYqOFAQq0Ujm86UseAaOVpUC0cLC+BgQQ2zETLHdkUq+AARfzr6+yUE+zAbB1vObott1HIrG+FMWT07wb27JZsFh+KyZ3uYPR0mlLWvv2Mk5FU3Qh+h3EgbJbXNzKrMVMsmcb+3egaUr1s5+EGre47yixn3CY8UlY8aSlSAF/MdjxGJwuVXN8Px4jqbWhEZS9dkl6tVvmvWp7tVWmlM5bZRyex2srgOrvt6HwvczYWfj9XtFXmJuLUznv5C5s3fihORn149gCnMzh9omm4CioihZR8eB3x9+Xm6w+NTerD7KEZnC3BA+cONQ+CDrdnw+c5c9pwMTk12Cy8xNdfT2VLgmAftq+SUwXYmUEFbk/+3I6NuvWaMFRs/nHpE+MG0zEiVYN0SeIo+H7eRM50L3U0NrufPnw/t7e0QExPDvKdXr14Nr7/+ulUzxQsWLND4/IgRI9jNGVAO1LTYm/EMiSEDNi/h4sU9Xmf1i2E3dQ4X1irvYwB+IL9GVl7O/HDGn45WLZa2a9EF+uZiKU6qyKaFbwrWlyeUzchl3RlKZUMLG9jicvNg25CL4PoTpVDb1MayTcYEEWgpwVEvs+f7vjVKW/WhfqHjPxGfH5USohIkG8qolFB2E2PrygxDwIvpzwcL2bJibxz2YltrkCzui5TqO/l5BC3TZn+6Cy7PioabRiSa9FlYeZAa7scEujTty9YehPh5KdaPuraCJcH1ecfoZLM+o6vKquu5GUJvpy3Bc5u4fYBKxE0HK+qkmCizFA9MTIPZ/WKgobUdvGWSwXYm0GZQHGDjuOr3I8XsnDA1I9Ih2vK0lYhre6wLnojAyjhrtFuMTA6B56dlsOQdYim1cocJsFE1vF+/fvDmm28yj2m01nr66afh3XffddhSbLnSpZoIsDe3ip1UQn08IVnoPeY9fobs0zw4aBKUkLUhDlhxMLPiYGG3C6FcSsRtDZZDY8brxuX72YDrq+sHKcsFcfHEPob2BE6yPPDrUXb/77tGKb3R9V0EcV/B2w6stjDwJ+/IroA/j5UoH4tnXJ9ec5L5Ccslg43VHlMzIpjoCoJaAFgCi4qdb87uK9n34GBOriWTHNwar248w+5P7xPFSv2xmgQrYyyNekAjxXrC5cZ+cvQlz61qgve3ZrNAOSHEeBuQ/nFB7KbOy1dksvNvsoU8sLVR26TYn5ZuOmdXPZtdLVAgO8T7uQxOTXZLP3ac5CpbbOQGVqkZWp5LWLBEXMgm4Z/n1p1i98enhzlkgI3XsxHJIbAju8vr3FD4uZJXt1qa5FBfdsOxALbMyPFcbSlcTc1g33vvvSy4Rjw9PeG///0vZGdnQ11dlxclYXnEgdmiHw7B7d8fgs93KTxbkbvV1JZ14S3KYOs6+C7PjII7xyTD19cNYp/Lg0S59BCLAy3sKV91rBguVDbabHkwg4fl0YU1vLRUKGEXzbryANRewH5UjiFl3+qTL8acZNUrv8T7GSpicuRQBRAd6A3PX9ab9e1qyr5LhTIbLMOMDgfPDXwypLG1g4nVYT+6qT23xqA+Sy7VesL2GTFSD1FwoI7tFvomrKSGT6rWiLzt7YHTgsI79o/LjSBRgD1SZC1IGAf202KlHGLt48IQUH8GW/VanVDESQ7wsUWb0F8jHrs6auUIVq69PaevsgLKmBJxbAdCMUjUhVl9vJi1PlmDDjMEl+0Vk0b19fX1EBYWpvKcv78/Uw6vqqqSatkIA8A+s2uGJ0IKmyXyYTex0Bj2B01ID2MK1vrgBykeB63tnayv6Kov9sBnO7oCdgRnBG8cnqgUKpBbmTNfCsxgo/3MU6tPwp4Lipk+a4Nq0thjjfCZVOUMokqALY91ZyjoN8sx5IQp/n1415hss/q6EQuq8Ykj7P/HfVIuiCcFcEbdnMEX7sfzl+2Bqe9vZ6JQCPfUlnMGW1yajYNQayKez9GkI2EqD1+UznriOcYMbMSg4B+eG86Vy8Of9vZRyUpVfntEjudP3gOOYpDczYIwjTrhfCfHAHvC29vg4ve2wzubz9t6UZySpFBfVoaMf9WdGRw9luOT98a0Jjw+tSesv3Mkq7B5ctVJ+P2oqq2x1JTVt8DG02Ws8svZAmyTzlYdHR3MEksd9KDGvmzCurw4q69WH2wM6l6dkWXQ54gHi5jRqKhvYZmBsnjFoF7Mb4eLYF9eFUzuFcGCccRdJhnsuQNiWe8NlpM99ucJm4qPoIUCnlzEmVfl+YX1YNtngC22w1G3GtIfYBv3W9XL58XCXtrsjmwF66vv6IRqkeI3PofevFjBgPYhg+K7lLUNAdcXWk1h729ORQObQFOWiMs4g80zvpjdya9qYsuP7RL9YgOZhZclwQkc3DNwr/hgfn/J3A2wrFus5m7q+seqmo+3X2Aq849MVohyoVbDF7tyITrQi/V0WrPlgfe2yn1/UueRi9Jh09lymN43WrYl4vZWFSA3sELqnTl92ZgEEwlyZc3xErh/QpqtF8PpmN4nmt044pGAowdz3ILS2wRnDl4FZ+lz/sniOnjkt2PKx3Y21DUL+U0HEjYDA2QMWDBYwTLxDh0HxMGCatYXi7OGrbxEXCZHDgZ/PAC0prCSJsSl+Z5CoIj+rJH+nmzyg5c12VsPNg7IL+oZzgTL9Fl0ISju5e1eyy4Ixvqme6hN5qEQE9+ecguwkdFLt7CLPA/wcA4FVdRReT/QyzRlYxxYYnCKnsFofYUXRSxBlaPojxjsvUIxvO3ZlWyyCUFLEUsH2LxMHPcLdaVucxALE+LvMDWj1mXT1bVsOAGDdmB47prT3zRlbVNpFc5DcmnzMWYyFW9yBKsBpvSKYNsYj11bim3aM6uPlzArovFpYfDaTMOSBbYA7UoJ2yPW3nHkAHvOZ7uhuLYZbh2ZyLRNjIW39ll6bOwpslUdlhhsVL+40wbYubm50NamOjOLjzU9n5iY6LA2WY4GehxjthFn33X1YYuVG+9hStntrMdSbnRl+mwzcBTHknzwiuXMnJyKRva8KSdIW4LZNRRkMpQnL+nFFJfROkld4Vkf6pMPbNJEiM/chc9ChUrss0UhLVuvF+w7xokE7KU9XFjDyri4H25kgKfJgerW8xVKP23sv7IHeGksD66tWdZ+5YBYdg6TUtkXJwu4MwNmmc237+t6DgdLiLgE3VpwJ4iTJaShIhU4+dLS3gH/nClnA8vZVp40cRT4xD2fBJIrOGlO2B7xsFUmOR+LwNsLUd/BGOFQrJLadr4C9uVVW8cH263r+vvQpHTJqskcOsC++eabDX5+3bp1kJSUZOpXEVbkkt6RBokS8AEiHuSokCwnsHR9+/lKJgCh7FW1UYm4uDRak9/gtUO6xLAcHaWivZHxjnr5/JHCGtbXiIiz4VL4E0uBpxBg8+wkD5ywBQNVqE0hVQhUeYBtL/C+ODHWKkO+d1wKXPTudthwqgxW3DhEkv5NFE3kmDMTrymDbcsAu0ZU9k5IB7+GysHhwF7hk5PbzttGR0UfVw2Kg58OFsDd41JtvShOyYoDBfDmpnMwqWc4PHNphkoG25GPO0Ndf9TBNjMeXFvjehwtsiZdcbAAHpyUDs6CSSOO2267DWpqFDPehhASot8nl5AXKMLDB3yazlHuMizN5RwtrGWllpdlRdnczkg8OcGDQmcl1NcT/ntxD6NLxMUXALyoTOrR5d0onrmVSzkYr1Q4VqTwi+cX/FA/T5Mv+Nx2D0vE7YlB8UHw0fz+8OmOHNiZU2XVdg089vlN0+SWucrQ5qDMYIsGg7y3WywgaC0WjU6GotpmuDxLXpOl9g4/B2ArDWEalQ3ynvxZMiEV7hqbItk5hjAOHILihHaz0I+M15eXr+jNnnfkDDa/hqw8XMR0XQwdV3WzsLRwgB0V4MWqF1Es+VCB4XGjI2DSaOHKK6+UfkkIWYCqtrtyquD1v88qn9OZwW7vZD7FGFSgeJGceviwPLSrB9s2y8XX06LRSXDzCEUVx6t/nYFjxbWwaFQyDEoIYuvX2KDT3nh/y3n4+0w5XDs4TkWQxBDignzY9kOrp29vGKySOXxuWga7sP59ukw2F1OxFsFtI5OY2v4vh4rMCs64uE9JXQvUNLXCPT8dYSXxr07PlKWyLgf7iQfGB6mUhVlrIMorGnBzSHVewmqdNSdKWcmvOfBdRDxB2dCiGCDaoq8+yMcD3pjVx+rf6+hw1f/TZfJQi7dHuE6JXFG0Bcnk4uOE8Bayv06VMaFIvB5e1DMCHB1eIr72RCk8Oy3D4P+nPpy3xoT3jD7RLMDGFqvKhhamQ+QMyHdkRtgEDAS4rRSC5y5NZa08g409Znf/dITd33DnSAjysX2AzScE8PyDfcINrW02O6A1iXCdr2iAI4W1LGN12/cH2f3XZmTB+HTb9g9bEhQmw/Lm3KomkyZK+Oy0JlskLmKl7n1sK7gdG4K7IlcUxyDGVDBTjxNYGKSX1rXAUSEzJqcJLV3w7ad+35Jc//V+9lfKIhuc3MGMvLlwHQKxe5u1RGcI60MZbNO5ZnA8rDpWAldQdQWhgYTgrhLkvbnVDj2OUp90xzEVjjGNqd7j7x0YFwgz+sZAzwg/q7iJXJYVBXVNbSoONI4OBdiEVqEOnHVCzzxdgSP34ZOTEjY/12BgZuuTLQohjUoJZV683Xy6QWTTJZN1Zyl42StamYxJCYUB8V1WW4bM1PIgyUuDHQUvs5XLKvQQLQhezLA0fFRKCGRGBZj1uZ9ePYD9RUVyfgxyZXo588P+AtYHzUEVdGcH939UIU8K6epRt3U7CyE91w+Jh+V78+CO0QqfccK0EtO1d4yQTQsQIS+GJAQrK9xQ0wLHpP+eLWfXR0fOZD8wMQ2GJQUbbfvJD6OhiSEs6LVWlcfTl/QCZ4MCbEKrIAFmzLRx/dB4mD8wlgU/vx8t1minZCt4n6sOEXSr0TPSH97bkg1FtU3w6EU92MC6awKgq8zH3nywjSVEmLXEvv4nV5+A324dbrTIjXp2GPlyVy5sPlchK0GTEUmhzD8eeX9rNiyZmAZvzpZO9VsciMnlN+vi/a3nlfefuqSn3XktWwIUYMSbmNtHJcGcfjEG2d4R9sE941Ph9tHJ1J9rJhRcE9rAa2BGpD/sz69h1WzoO//YnyfYmMqRA2x07THFzlGTwCZhGSjAJlRAm6NZ/aIhyNsDpmRoPzn5eaIHL0CVSIBELllYHoJVN7XCqmPFrDR3dEqoTfvaC2ualYG1izKH3dVf5ugBdrCoRN/YwRL2714zOI6Vh6v3716oalTeN9b+y1LcNyGV9UnziScuXiUVttYVMJZAbw9m44d4a6hAsDT2om+AXvF4IxwLEr8iCMvC28Owmo1XtNnJad8mFXZY+bbhZClkRgfAqOQQcLeTVjN7gwJsottg4L8X92TWB2Pf2sqeQ+XnWVo8X7k3JcbWcpll5ouBHtNPrT4JsYFesNKIjKmUHMyvZsG1ioq4E2ewTQ147p+QpvF5vt5uGp6gYjFna8RdxuI2CnNAK5JfDhVC3xhFZYmfjaznjAX7xguqgQmyjbWBT3maoMAuJ1Do5UJlI/h5uUN6uOV74AiCIByV/5vZBzqhk7WQldZx9xvHHlOZCo6lbh+VDOPf3goP/HoUNt8zGmww7+0UmDVCO3v2LMTGxoKPjyJwaGtrg++//x727dsH8fHxcN1110FEhOOWaDgyWGbD4ScsMXtzq2D9yVKlMrKcZsAu7hUBA+KC4HhxLTy/7jRTW7YVH2/PUd7nQmv8tN+p0oMtn/Vn6QBbyrkEZdZaZkrsbSL1quV78+HXQ0VM6dMcTQCcmUexuGLheLTlfm0MXNytrqXNqtsoLsgb8qub4JHJPUBuoKfv02tOwoikEHh7rqJ94OeDBayPcHKvCJt4YRMEQdgj4rYjLigro+GA7GhoaVOuI6qwkVmAjeJRTz31FAum161bB0lJCvuhRx99FH7//XcICAiAjo4O+Pnnn+G7776DuLg4qZebsDDik5OmmcBz5Q3w08FC6CEoEIqFnWwNBrJ44zY9vh62y/ShyqM6fp7uEOjtznrWnSaDLfL2FZfIW0Kl3dY8tPIo/HOmvFvftLkT6v5Cxhonv1DZP8DLTgJsYRKuutG6XsBKr2kZ7Rvd9ltRH9xXe/Igr6oJ+sQEUIBNEARhAvyUKpeKSjnS0NrlGU6ZfsthUtpsw4YNsHLlSvjPf/4D0dEKT1vMWmNwPXbsWNi6dSts374dBg8eDP/3f/8n9TITVkCcadJ0muIBob+nG1PDRU9nuaEUg/K0XXb45hGJSjVxzktX9Ia/Fo+Cqb0jYURyCIxJDdVoheZIYBbz7Tl9JO/V5/vhF7ty4WhhDcgBvkwjk0M0Pm8qfkJAPTg+CDbeNQremdsP7AHUc0CWbjoHhTXG27SZyqQe4cwJQTy5Ixf4rsD7BcW99SQCRxAEYTjf78uHZ9echH15VaIebAqwNfH7kSK4/fuDdK2xAiaN6tesWQN33303LFy4UPncqlWr2N8HH3wQvLwU5W0YgF9yySWsdNzd3bEDCEcOsDWdqPjrvp7uzKdSTpwsroMt58thV06VzX1lsXe9f1wQJIVq7gN9yomsC4RqeEnFyMT7aUldC2SB7eHe1OqTJuYG2DyDjWXi9kSQT9d6aBJmzq0B7hvbsisgIcQHbhgmrz5sTZUX5INNEARhPLsuVDFrrj6xgRDqo2jFc/CiQJPJqWyEsvoWm4+NnQF3U3uvb7jhBpXntm3bxkrBMzIylM9FRUWxcvHy8nJ2n7AfxEG1pnjIXYaluRzsvf5ga1fvs58Ne1Wx/CaNRIwYKaG+zLIqWBRwmYvYtksuM9aeQoCNF3xNgbe5Gey6ZuuWWpvLtMwo+Hj7BXbfmv1eqN5eWtcCLW3WC+qNtkoRFg2zLth/jVAGmyAIwpjzqXAe7eiEMD9PZgfpLhPbWLkhnniw5djYGTBpD2xtbVVmqZGysjIWdI8cObLbe5ubmyl7bYeIgxVNgQsPsHEQi0rZZ0rrQS6oL67cZuk+2Z4Dd/x4CDadKQNn4vW/zzIVbClVk28dmcSsJuQ0Y831CJraOuDhi9IhNshb0gz2wYIaWPzjIVbqZQ+g2BjHmgF2hWAhKCd9iG794UI5ozizL7fzFUEQhJwRn08DvN3h8qxoWbmKyAlxzzVdayyLSaMd7LvGgJrzzz//sL+jR49Wed/p06ehpaUFgoODzV1OwsoEeLvpHBTzYOFESR3c8t1BeOzP4yC3Ewgq8T5zaS+WQZMTZ8vqYc+FKiiqaYYRb2yG0Us3Q0WDomTHkblQ2cBE38QK9VLARay4F6atUc2qdymKm9t7HurnAVnCZAKWxFmzn9kcWnhvgJUD7L9PKyawDhXIozdfDG+T4AE214vAZ9HvnSAIgjCyIkh+BZWyg19dfD3c4Loh8mrvdDRMqtWcMGECvPPOO9CrVy+Wnf7kk0/A398fxo8fr5K5fuGFF5jomZsbzcjbG5f2jmI3bajb7Zhb/iolfMlSw3xlF1yLLwatHZ2sxL7dCVTExVm6Y0W1MDhBukk3HqTIJVEpPhZwsqdvbCDLpvIMtKn0iPCHZdcOhKdWn4BVx0rsZvZZbPNnC0sQ9EaVG0mhPrBodBJE+CkqwRpFAmek6koQBGFaiTi2UO3Pq2bXmmFJqkKjRNf489LMSBibZrptKKEfk0Z88+fPhz///BOmTZvGHuOA4LnnngM/P0Xp5xtvvAG//vor1NfXww8//GDKVxAyB09cK28ZBrtyKuGF9adlVYbJTyBynczkmVZxb6gz9AsV1SoCrbf+PQ/XD02QrN/+lNCeIJfABCd2OC+tPw2JIT7w+owsJrYlBfamNl0r6hm35kQSztBjZnhceijIjfhgH7h5hMLeEonw94RPruoPrZSCIQiCMLlEHC1kl/x6lLUm/XrLMFqTavBhksjAgpBTgO3p6QlffvklrF69GnJzc1nvNVpycTZv3gy9e/eGJUuWQGpqqpTLS8gEzJ75BLkxP2fEQ0YZWH4C2ZtbBZvOlENmtD9E+HdpBtgaPhfRzBWOnCSDbQm48rLU6uTmgFUT60+WwpZzFezxhcpGZQmwFNib2nRGpD9ckRXFgkhrToL8eOMQ1sIyNlV+AbY63h5uzG2AIAiCMC2pgt1i4mogQvu6QhFWLBGXauKf6I7JNYsYZM+YMUPjaz///LOpH0vIhK3nK+C+n4+w+69Oz4QJPcI1vo8Hie5yKhEXxvCYDXpw5VF48fLecHGvCJALPMhoFWewZVQBYE8EenkoJygGxAWCXFCfHW4VTaaYw6xPd0FeVZNdKYDi/v6kDezoIgO82E2OYBVCblUjq/xJDZNO9I8gCMLZWDIhDRaPTWHXxB3ZlXY1AW1tFg5PYG1bKw4Wwh/HiuGO0cm2XiSHxaSoaN26dVBXV2fQe7EPG1XGCfuiTiREhf7C6hRUN8Fbm87BB1uyZXcyG5EUwsoteb8nlorKCZ5pbRYCbExey8Viyt7gFRSdnZ3ddAFsCe8L56AQYLngPWkOtaLjUk7HHGEcp0rq4Lqv9sFDK4+xx+fK62H53jzYck7V2o0gCILQDSqHh/t5smsir/CS27hPLuBYs1EYe/rROpJfgP3qq68yb2sxc+fOZeXi6qDCOPZiE/aFWJFZU+yHwcJXe/KgoEbRV+vjIZ8MdoivJyu3jBayVz6e8lk2nq3GzFW7EITJSSDOkvgLPs6WCLCxdVXKMmxzQPus7cIsujjLLEUJu59XV9ERlcA5Qh+c4hxwpLAW3vjnHKw4UGjbBSMIgrBjuEaJj51UeNkCWkfWwTxZWxHV1dXQ0SFNGSRhe8QVy5oSg+KSZiwxSRYJO8kFHnD5eUi2m0vCo5N7sFtZXTPkVTU6hcAZsnhMCrzy1xmYqKXdwNTeVc6J4jpJ1clNhVcjDE8KZurhpwURNinaAHjA/ubsPkrLLsL+bWWUAx7KKBAEQRjFxlOlsCe3GkYkh4gy2M4xrjIWrJLiFpaU5bcs8oo8CNkgLlnWJEzEs3Ghvh5w04hEkBMoKoUnkVKhtF2uM5nh/l7wztx+4CxY2k6LBym2BsW8kMKaZhVPYymE7PyFDHZ9S7tsVNMJ43FVy2ArB4Uyq7YhCIKQO/vyquHHAwWsSo6PTWmyUvv4mENVcJaFAmxCI+J+Vk1DPp6NQx9nuXGmtI6VW3JoJlMe9IkJhDvHJENSqLTVDs9Ny4AjhTUwWiZq0fz34YUMLbo4UggBegmfUS+yviLsDz45wk+fXdZrdEkmCIIwZbyKWqITe4VBuL8nJEs8znDE5BllsC0LXc0JvT3YmgS4eFlzdVMbE+xBtd5gH4Wis81RW165DVp/O1wE/5wpY6XSV/SJBmchMzqA3aTmkt6R7CYXIoUMNjI8KUQ5YyxF5h59v5ENp0phZr8Y8z+QkFcGm8oaCYIgjDyfdvlg944KYDdC97VHztWdjgLVoxEaEZe2amoRFpe7XvvVPvjjaLFs1qR4cR+5KB28ZTZoPVfeAJvPVcCza0/ByDc2w/Vf7bP1IhESIi7d5jPreLxIUdL98EXpEOLjATcOl1dbBmFeBhtL/hEqayQIgjA9wCYMu/Yg8cHetLosiMmpvbNnz0JDQ4PycWtra7fn+POE/YFiUbsfGKf1dU+1dJw4ILc1/PzRJyYA5g6IBbkhrhRu6+iUjfo1IR1vzekDf50qg7n9Y+BoYY1kNmxTMiLZjbBvwnw9YOGwBKVoXVcPNmUUCIIgTBlTYcsiXm9xTJUW7gehvl3VZIQCnhvDCkpaPzINsO+44w6DniMck2BfT/h2wWB4YOVR5oktpywxn6GT62SmerAlhfgVIS9GJoey28fbc6ClvRPmD6RybkJV4HDx2BTl41tGJsH0PtHUN0gQBGFGRdA7m88zRfEXLsugyWhN6wpU25MImQXYd911F9TWKnoBDSE0VB7iQ4R0YFCYHuEHUf6eLMCWU2kjj1ePFtUy8SsU15JrfztCAbbjUlzTDCdL6qCsXqFoTxCaSA/3YzeCIAjCOHhBJZaIN7Qq7ILlNCaVE20dXcrrGGSTG4nMAuwZM2YY/N6WlhaaKbFDzpbVw1Vf7GX3P5zfDwbFa/YXbhKOVm93+ZzMXJRzdAAvrT8N3ywYDHJCPdcvhbo0IU88hCt/C7+qEQS2TrV3MBs3RKw0TxAEQRjHvIFxMC0zCvw93eG27w+y56jdRjOjU0Pg1Y0ANU1tFFxbGLNG9sXFxbB9+3Y4f/68xtfPnDkDV155JRQVFZnzNYQN4D2BSJngJ63Opzty4HhxHbsvpxLxrOgAmNVPoc7NexzlnMHmvo2E43G2XKFJ8cmOC7ZeFEJGYHA957PdsOBrhcDhH0eLmLtAVQNplhAEQRgDOtjEB/tAsK+HUtOGMtiaaW1TlIYHesvLXccRMWkNo3DZs88+CytWrICODkVmZsyYMfDmm2+Cv78/e/ztt9/Cyy+/DO3t7eDl5SXtUhNW7RPWVkLymSho8JZROQ6eZLEs/JdDRbK0IVAPqGWkD0dITIcMfeIJOdl0Kf6+szkbyutbYPmCQez8RRAEQRhPl+Wh/MZ+coAmIGQeYH/zzTcsuJ41axb0798f8vLy2HMYUD///POwfPlyeOaZZyA5ORlee+01iI6W1uu3qqoKNm3aBJWVlZCSkgJjx44FV5GXFJalr1+/nmXY+/TpA8OGDZP0+50BcRCoTYPLw80VWtrbmRqh2PtXDjS2yPcke8OwBPD3codXN55hj1HtknBMqDiB0LVfcFsZfr6irAtBEIRxHMirhs3nyqFXpH+X5aEMkytyYGdOJftbXKtoUSJkFmBjcLto0SK49957lc+NHj0a7rzzThbQYnZ73rx58N///hd8fKTtL9u7dy/77oEDB0JSUhLLlAcHB8OyZcvYd2HQfe2110JAQABkZGTARx99BNOmTYMnn3xS0uVwdMTe19oy2BhgA7TDbaOSIMJfPlUKpXXNsHxvnmz7cNAbmSs4Tu4ZAY9M7mHrRSIsBBX/E7oqhDqVwjxk00UQBGEKx4pr4cvdeTCpRziz6pJre6AcOFNab+tFcBpMCrBLS0th4sSJKs+NGDEC3NzcWAb7xRdfhNmzZ4MlePrpp1nmHIN3BIP8yy67jAXYaBP27rvvQmBgIMuo4/JgsI3vv/zyy2HQoEEWWSZHLxF31eOFjYI9ciKnohEKBAEhuWaEeB82z2ARjomXjMT/CPmdX/H4bxJUb+VacUMQBGEv59NHLkpnZeJyaluUE0MSg2HdyVKlACshswC7ubkZgoKCuj2Pz910000WC67b2trgoosugiuuuEL5HPZ8Dx48GA4fPswer1mzhgXaGFwjPXv2ZNlufJ4CbNNKxLVlsDETi2RXNEBGpL9sFAnFiyHHDPa28xXwv78U5eEH8qttvTiEBZndPwZ25FRCv1h5WcURtoW33WCyhWev8TkvEmQgCIIw8nzqohyTzh0QS2tPB9P7REOAlzv0pTGJxZFUXgkDrClTpoClcHd3h/vuuw/S0tKUz2Gp7alTpyA8PBwqKipYdj01NVXl/2Gf9smTJy22XI4ID54RbXFzo5B5eXLVSTZQlCNjUsNAblyobFTer2hohWfX0L7pqLQJBwZ5nRNi+GQkXr/E/ddymaQkCIKwF7jTKS8PJ3StKxeY3CsCogLk09bpqLhbIgg2FeyXxiy1Jq6//nrWV63OL7/8AtnZ2UxMraamhj3Hlcw5fn5+UFtba/Jyucs4q+AmnFn4X6lIifCDvQ+PZyq3OOYTl4xzxOXNXjLKFHsI2ysp1AcGJWr275bD8nHqW9u17mOW2r6EdQjwdoceEX6QEOKjcRvT9nVstG1f3C+uGRzHAuoWwYkDq23kfK0hVKFj17Gh7Ws/uAvn15rmNjhQUA1BPh7QI0I1DlCHtq9j4yaDsbPJ0fDZs2ehoUHh8Sq279L0PGacPT31q0yj+jd+hia4KJSYPXv2MLXyxx57jAmacT9u9SyAOVkB7JUNCZG/ynNgoLRicobw8px+cOc3+1h2Tk7rKLC6Wbnd5bRcHH8/1ZlDby93vctpi+1LmM8VQ/zgiiGJet9H29exUd++IQDw4pUD2P2aplb4fOFQxfMyPF8RuqFj17Gh7St/AgSR3aOFtXDrtwehV1QArL1/nEH/l7avYxNow7GzyQE29jkb+vy6deuY4rc+7rrrLqPVxJcsWQJXX301e473hdfXq6rk1dXVMeEzU31sa2pUJwzkBM7O4A5UU9MI7VYWGwtyV0xchPp6QGWlfJQJi8vr2N/s8gZZLRenqbFF5XFba7vW5bTl9iUsD21fx8bQ7TsgShFYy/F8RWiGjl3Hhrav/cDHVM1tHUoBXn3nUtq+jo2bhcbO+JmGZsVNCrAxEDam5Do0NBSkZPv27XD33XezzDUqhIu/B285OTkwfPhw5fNYQo4ZblNpEw5aOYM7kJTLiVmVi97dzu5/u2AwpEd0z6zUNynK+VGtUU7ryFPkMSan5VKiVo3hYsBySr19CXlB29e5ti+215TXtzDtikh/T+q9tmPo2HVsaPvKn9HJoWycil7Y723JBh93V4PHS7R9HZt2G46dTQqwZ8yYAbZi8+bNcM8998Crr74KkydP7vb6xRdfDCtXrmRK5tgPfu7cOdi/f7+KZzehH7FYBA4ENQXYa46XdBPtkgMD4gLhP5PT9fbg2Ar1fnYSwCII5wJtZKZ9uJPd/+q6gXC6tB4Sgn1gQHx3dw6CIAhCO9hzjbdDBdWydY8hnA/JRc4sCaqEo4p4XFwcUw7HGyc2NhZmzpzJsuvz58+H6667Dvr16werVq1iWe4hQ4bYdNntDXEQ2AmalRl/PlQIcgR7r2f3j7ULhXZEk4AcQRCOi/iY35FdCe9uyYbJPSMowCYIgjCRBsHZBh0ZCMLW2FWAXV1dzQJn7sUthoujRUZGwm+//cYC68rKSnj55ZdhzJgxNllee0YcBGozPkgJ84Xz5Q2QEOxtteVyBC7uFQFNre3w0gaFF3Z0INklEIQzIZ5Sqxdsuvwo60IQBGE0qLez/lQp/Ha4iD2mDDYhB+wqwEY/6/vvv1/v+9DOC7PYhEQZbC0RdmaUPwuwZ/WLoVVtBB5urhApeBD2jvKH20Yl0/ojCCc9v9Y1K7QsfCjAJgiCMJrzFQ3w0bYc5WPKYBNywK4CbMJ6iKuYO/V4D7a2a3sHoX39KlawqNWdIAgnPL/yDLavB3lgEwRBGH8+7TqhLh6TDFkxAbQSCZtDATahv09YSxDYIAwMKxs1e5cTmjlRXAv3/nyE3c+rkpdAHEEQ1tGJ6JbBpr5BgiAIo+GuSVgRuHB4Iq1BQhbQlDlhssjZ+pOl7O93+/JpLRpBUU2zSvZq2c4LtP4Iwtkz2FQiThAEYfKEJVUEEnKCMtiE1gz2v/eMZnZd6HOtiRcuy4DH/jwBz1zai9aiEbiqqYjXCH7iBEE4z4BwRt9oFmifLWtgz1GATRAEYTxuwpDqZEkdHC+uZZaH/l4U3hC2hfZAQiv6ShanZETChPRw8HSnQghjcFOz5VIPuAmCcHwen9KT/T2YXw3Ftc3UN0gQBGFmxeWCr/fDazMyYXx6OK1LwqZQgE2YBQXXxqNue81nXwmCcD76xwXZehEIgiAcQzOIqoEImUCpR0IrQ1//l92OFdXSWrJgBlv94kAQhOOD4mY1Ta2sDYcgCIIwjV6R/vDZ1QOUj31JMJKQAZTBJvRSVNsMmdFkeyAVrq7ay5sIgnAOLvlgBzS3dcBdY1MgIdgbhieHgJ8nXZIJgiCMAfut+8YGQpC3O1Q3tYEPCUYSMoCu5oReOjspwyIl6gE1ZbAJwvnghSvvbD7P/v5y81AKsAmCIEyksVVwZKAMNiEDqESc0AvF19LSNyYQHpqUrnwc5ONBeyFBOPlEG6mIEwRBGE95fQt8sSsXWto7DRLoJQhrQAE2oRUPQX2rX2wgrSWJheGGJCqEjbCkaXa/GFq/BOFkqHeGUNaFIAjCeMrqWpSVQOxcSiXihAygEnFCK+vvHAn1ze0QGeBFa8lC2at2Kg8gCHD2DDaWi3uR3SFBEIRZbjY3DU8ADzfKHRK2hwJsQit+nu7UE2gBimqa4MrP97D7dc2KniGCIJw3wMaSRhcSOyQIgjAaPyFjjUWXi0Yn0xokZAFN8xCElalqbFV5/NepUtoGBOFkiN35qKSRIAjCdBVxBFuwm9o6aDUSsoACbIKwMuqZKrSVIAjCuZjYIxyihPYbEuUhCIIwDR+PrlDmTGk9rUZCFlCJOEFYGXXXa3cqDSUIp+PRyT2Y+u2eC1XgQf3XBEEQZict7v7pMPxz92hak4TNoQCbIKyMuqu4K9WREIRTEubnCVN7R9p6MQiCIByCDhKOJWQCDe0JwsYRtrofLkEQjk9bRye0tHXQgJAgCMJMpmUqJiqzogNoXRKygAJsgrAynWoRthsF2AThdMz5bDeMfnMLvLs5G06X1tl6cQiCIOyWXpH+yqoggpADFGAThJXpUMtgu4nlhAmCcAr4Yf/l7lz4fl+BrReHIAjCbmloUViekiMDIReoB1siOjo6oL3d+mrQHR0u0NTkBi0tzdCOHgWEbHBzcwdXDQ3WqWG+8MDENHj977PssSsF2ATh3D7Ygo8rQRAEYTzbzlewv2fLGmj1EbKAAmwz6ezshJqaCmhstF2JX1mZKwvwCfnh4+MPgYGhKiqX3h5uMKtfjDLAHpYYbMMlJAjCFojrVnxFNjMEQRCEcdQIdqf+XjRZScgDCrDNhAfX/v4h4Onp1c3j2Bq4ublQ9lqGEy9YVVBXV8keBwWFqbzuJtpN2tVrxgmCcK4MtgcNCgmCIEzlnbl94fejxTC3fwytREIWUIBtBh0d7crg2t8/EGyFu7srtLVRBltu4IQLgkF2QECISrm4uCycbCUIwvkQz8VS3yBBEITpRAd6w60jk2gVErKB6tLMoL29XSWQIgh1+L6h3p8vzl4dKaylFUcQTob4HEABNkEQBEE4DhRgS4AtysIJx9k3aputL45HEIRtGSLSXvClEnGCIAiCcBioRJwgCIIgrAw6CYxICoHi2iboFaXwcCUIgiAIwv6hDDahl8rKSnjqqf9Afn6eZAJgpaUlWl9vaKhn33fhQrbslt3Y30IQBKGN0amhMLt/LMQF+dBKIgiCIAgHgQJsQi9NTY3w11/roba2RpK19eijS2DNmlVaX/fw8ISxYydAYGCw7Jbd2N+iCx/BmicuyFvipSIIgiAIgiAIwhZQgE1YndzcCzpf9/DwgMmTp0JwcLDd/xZdBHp7sL/ubnQYEoSzcet3B2Do6//CaxvPQAu5QBAEQRCEw0A92ISSbdu2sBvSt28/mDLlUq0iXfreu2XLv7BjxzamtJ6VlQVTp17GAuf3338bysrKYMOGtawU/Oqrr4PXX38Z5s69CtavXwPe3t5w3XUL2XM333w7JCYm6/w8pK6uDjZsWAM5OTlQU1MN0dExcOmll0N8fIJBWxd/x+7dO9nyDBgwCC6++BJwd3dn5eVLl/4PbrttMcTFxbP38ufuuOMe+OWXFSq/5fbbFxu1N3F7LrEnNkEQzkFbh+L4/35/Adw0IhFC3T1tvUgEQRAEQUgApc4sRGNru9Zbs1q2Qtd7m1rb9b+3RfN7jeHDD9+F//3vBYiJiYGUlFRYvvxLeOihe1mPsbHvXbr0NXjhhachMjKSvf7zzyvgscceYq8NGjQEfH192fMDBw6GpqYmVsL97LNPQEpKGvj5+UNHRyd7rrKySu/n4f+/5ZYFsHXrZkhLS4c+ffqxYHzRopugoaFB7+9+/vmn4MUXn4bQ0DBIS+sBn332ETz44D3Q1tamsbxc/Jz6bzGW0roW9rddGGgTBOE8iK8DpCJOEARBEI4DZbAtxLi3tmp9bXRKKCyd3Uf5eMp726FJS4ngoPgg+HB+f+Xj6R/vgqrGVo3v7R3lD19eN8joZc3JyWZB8qeffg3p6T3Yc1OnToM5cy6DjRs3QGZmlsHvxedWrPgOli59D4YMGSa8finLELe2tsLw4SNZUIrB7LBhI6CkpJi9Z9asK2HWrLnsflVVlcr36fq8xsYGuPXWRaxn29NTkQHKyuoDN910HeTn54K/f4DW371//15Ys+ZP+PDDZez/IOPHT4Srr54Da9euYgG0LtR/i7E8c2kvOFVSD5nR2peRIAjHD7C93GmumyAIgiAcBQqwCThwYB9bC1999ZnK2nBzc4djx46oBNj63ouZXR8fH2UwjAQFBbOeal1gFlhbEKzr80JCQuGii6awEu0zZ05BXl4eHDiwl72G5eS62LdvD0RFRSuDawQf9+nTl72mL8A2l2mZUTAt06JfQRCETBFXHGlrxSEIgiAIwv6gANtC/HvPaK2vuaoNptbdOVLre9WHXb/d2hVoclAkq629o9t7DaWiohz8/f1ZFlgMPo6OjjXqvYcPH4SAgECjl0Hb/2lsbNT5eR0dHbB06avw+++/Qnh4JKSnp0NCQqJB34nl5Zo+OyAgAJqbmzT+H00l8wRBEMairWqJIAiCIAj7hgJsC+Hj4Wa197q7u0Jbm+kZEBQFq62thREjRrPgWZ3CwgKD31tWVsKCcCzf5iJk5oB93ro+DwXGVq78mZV5Z2T0Zs+dPHkCli//Su9nx8bGQXFxEct0u7l1rdf8/HwmdubqqijbxH5sTk2NZey+CIJwLszRzCAIgiAIQr5Q4xcBI0aMAl9fP/jkkw+UawOD6BdffAZ2795h1HsHDRrKXl+x4nvl6/n5efDUU/+FysoK9hgD5fb2rqBVF/o+r6ysFLy8vCEpKVkZDH/11efsPgbluhgzZhy0tbXCTz91ffbmzf+wUvOJEydDcHAIK08/duyo8vVVq35T+QxjfgtBEAQnMcSXVgZBEARBOCCUwSZYH/N///sUvPDCU7B//x4IC4uAEyeOMfutvn0HKANjQ96LNluPPvoEU+f+99+NEBAQBEePHoLp02ez/4tkZfWFn3/+Ec6fPwuLF9+ncwsEBgbq/Dy0B8PPWrDgKiawdvr0SaYkjoFxQUE+hIdHaP3siIhIePjhx5gi+oYN69iyYx/5Pfc8AP37D2DvufbaG+C9996EnTu3Q0VFGVM6F2e7xb/lmWdeor2JIAiD+L9ZWbDtfAUEeNFlmCAIgiAcCZdOO2wq3b17N3z33XdMbXro0KFw4403gpeXl/L1Y8eOwZdffgnFxcXQp08fuO2221hfrSm0t3dARUW9xtdaW1ugvLwQwsJiwMPDdh6mihJx8/v56uvr4MiRw+x3JSYmKT2osQ9669Z/YdiwkSzg1fVecVb7yJGDgHtXz569VAJdzDLv2bOL9TMPGjQYNm/eBEOHDmfiZTzzvGnTRhgyZDgEBwfr/Tzslz58+BD73NTUNIiMjIJdu3awz8NlU192dbDsG4N2JDOzj3I5OBcuZMP58+dZSXmPHj2ZTReqhuM+Jf4tI0eOlnwfwW0bEuIHlZX1kmxjQl7Q9nVsaPs6LrRtHRvavo4NbV/Hxt1CY+fQUD9wc3N1zAB706ZNcN9998EDDzwAsbGx8M4777BeYAyokePHj8M111wDN9xwAwuuP//8cxYg/vDDD+DubnymwJkCbEJ6KMAmdEEXeceGtq/jQtvWsaHt69jQ9nVs3GUQYNtdbdrSpUtZxvq6665jjxMTE+Gyyy6DgwcPQv/+/eHtt9+Giy66iAXhyIgRI2DChAmwbt06mDZtmo2XniAIgiAAFn6zH44W1cLNIxJh0WjVCiCCIAiCIOwXuxM5e/zxx2HBggXKx6Ghir7e8vJypga9fft2GDt2rPJ1zG4PGTIENm/ebJPlJQiCIAh1MLhGvt6TRyuHIAiCIBwIu8tgDx48WHkfq9uXLVvG+nQxiC4rK4OGhgaIi4tT+T9YSo6l4wRBEAQhJ7zd7W6emyAIgiAIewmwsW+6paVF42tvvfUWRER0CVutXLmSlYsXFRXB66+/zgSsMMBGfH1V7U9QHRoDb3Nq+TXR0WG697RUuLh0/bWvbnrnws3NRet+pPv/Kf6PoT0fhH1B29exMWT7enu4mXRuIGwLHbuODW1fx4a2r2PjJoOxs6wC7HvvvRc6OjQ3owcFBak8xt7qr776CjZu3AgPP/wwUxHv0aMHew2VncVg6bhYZdwYXF1dWKO8Jpqa3KCszNXk4ElKKACTJzgJ4+rqCkFBvmyix1QCA30kXS5CXtD2db7tOzUrCtYeLYY7JqRpvcYQ8oeOXceGtq9jQ9vXsQm04dhZVgH2oEGDDH5vVFQU+4v92Hv37oVPPvmE3RC07xKDj3mvtrF0dHRCTY3m7Ddm23FCABXqXF1to+KNmWsMrlHtnDLY8gP3DdxHqqsbobGx3ej/j9sWTxA1NY1sGxOOBW1f592+z13aC24YEg8ZUf5M6ZSwL+jYdWxo+zo2tH0dGzcLjZ3xMx1SRbyuro55Wj/yyCNMMVwsZJabmwt+fn6QkpICJ06cgHHjxilfx/7rKVOmmPy92iXeFfXZLS3N4OlpWobcXHhQTcG1PMF9Q4F5Vmp4giArNseFtq/zbV+8evQI94P2djyJU3+PvULHrmND29exoe3r2LTbcOxsVwE2BtJubm6sH/v9998HT09POHr0KKxatQoWL17M3jN79mz49ttvYfr06RAdHQ1//PEHnDt3DmbOnCn58ri6uoGPjz/U1VWyxxhku/CmaCuXISsGaYRcQAE+DK5x38B9BMvECYIgCIIgCIJwbOwqwEZeffVVWLJkCYwfP56JnmHm+qabboKbb76Zvb5w4UI4duwYXHLJJRATEwOlpaXwyiuvQHx8vEWWJzBQUXrOg2xbgMGbtt51wrZgcM33EYIgCIIgCIIgHBu7C7AxK718+XIoKCiAmpoaSEpKAh+friZ2zGqjuji+XllZCcnJyax03FJgxjooKAwCAkKgvV1VXM0aoMAaCmhVVzdQFltmuLm5U+aaIAiCIAiCIJwIuwuwxd7WeDP1dUtkkV1dPcHaoHo5qlOjgBb16BIEQRAEQRAEQdgOagwlCIIgCIIgCIIgCAmgAJsgCIIgCIIgCIIgJIACbIIgCIIgCIIgCIKQAJdO9BMitIKrp6ND3qsITc+lNFIn5AVtX8eGtq9jQ9vXcaFt69jQ9nVsaPs6Nm4WiI1cXV0MtmOmAJsgCIIgCIIgCIIgJIBKxAmCIAiCIAiCIAhCAijAJgiCIAiCIAiCIAgJoACbIAiCIAiCIAiCICSAAmyCIAiCIAiCIAiCkAAKsAmCIAiCIAiCIAhCAijAJgiCIAiCIAiCIAgJoACbIAiCIAiCIAiCICSAAmyCIAiCIAiCIAiCkAAKsAmCIAiCIAiCIAhCAijAJgiCIAiCIAiCIAgJoACbIAiCIAiCIAiCICSAAmyCIAiCIAiCIAiCkAAKsAmCIAiCIAiCIAhCAijAJgiCIAiCIAiCIAgJoACbIAiCIAiCIAiCICSAAmyCIAiCIAiCIAiCkAAKsAmCIAiCIAiCIAhCAijAJgiCIAiCIAiCIAgJoACbIAiCIAiCIAiCICSAAmyCIAiCIAiCIAiCkAAKsAmCIAiCIAiCIAhCAijAJgiCIAiCIAiCIAgJoACbIAiCIAiCIAiCICSAAmyCIAiCIAiCIAiCkAB3kBENDQ3g6+sr2fubm5vBy8vLrGXq7OyEjo5OkDOuri6yX0bCdGj7Oja0fR0b2r6OC21bx4a2r2ND29excbVAbISf6eLiYj8B9scffwwffvghNDU1QUJCAjz33HMwZMgQre//9ddf4f/+7/+gqqoK/Pz84IEHHoC5c+cqX//kk0/YZzY2NkJSUhI8/fTTMHjwYJOWDTdORUU9yBV3d1cICfGDmpoGaGvrsPXiEBJD29exoe3r2ND2dVxo2zo2tH0dG9q+jo27hWKj0FA/cHNzsY8S8d9++40FxMuWLYP9+/fDZZddBosWLYKKigqN79+0aRM8/vjj8Nhjj8GhQ4fgmWeegSeffBIOHDjAXl+1ahW8/fbb8MEHH7DnLr74YrjjjjugvLzcyr+MIAiCIAiCIAiCcCZsHmB/8cUXMG/ePOjTpw94eHjA4sWLITg4mGWpNfH+++/D7NmzYerUqezxlClTYOzYsSzwRtauXQsTJ06EgQMHgqurK9x5550sM75lyxar/i6CIAiCIAiCIAjCubBpgI2B7/Hjx6F///7K57C2HR/v27ev2/ux5PvgwYMsqOaPESwvv/fee9n9jo4O9rmc9vZ29lxbW5sVfhFBEARBEARBEAThrNi0BxvLtjEAjoiIUHk+NDRUWfItJjc3lwXLtbW1MHPmTDh79iz4+/vDXXfdBddeey17z/z581mJOWbAse/6o48+grCwMJg8ebJZtfxyxc3NVeUv4VjQ9nVsaPs6NrR9HRfato4NbV/HhravY+Mmg9jIpgE2zzRjabgYfNzS0qJRNRxZunQpEznLyspipeFYVo5BOma2Bw0axPquH3nkEaYg3traCs8++ywEBQWZrBiHjfJyJzDQx9aLQFgQ2r6ODW1fx4a2r+NC29axoe3r2Dj69sUkJsZBzkhTUxN4eqIgmZtB78fY083NsPfKPsD29vZmf9WDaXysyX6LB+LXXHMNC66R8ePHw6WXXgo//PADC7Bvv/12tjP9+++/EBkZCdu2bWMZbvxMnuU2VkUcVejkCs7O4AmipqYR2ttJRdzRoO3r2ND2dWxo+zoutG0dG9q+jo2jb1+0GK6qKof6+lpwTlxENl2GW3X5+QVAcHCYVisu3GcMzYrbNMCOiopiQXNJSYnK8/g4Nja22/tjYmLY37i4uG7PnzhxAvLy8mDXrl1MOA0/Gxk9ejSz8Pruu+9MCrARe7C/whOEPSwnYRq0fR0b2r6ODW1fx4W2rWND29excdTtW11dDo2NdeDvHwKenl4Gezc7Em5uLtDe3mnwhERLSzPU1VWyoDwoKMzs77dpgO3u7s7UvjEo5sJlmH1GgTPMOquDvdk9evSAvXv3qvRUHz16FNLT0yEgIEBF/ExcJoC92gRBEI5IbmUjxAd7O+VFlCAIgiAIBR0d7crg2t8/0GlXi7u7q1GTJzgRgWCQHRAQwpyozMHmyli33HILfP/99/DTTz/BuXPnmL+1p6cnzJgxg73e3NzMPLFxdgG555574JtvvmHvz8/PZyJmO3fuhJtuuon1WeP/Q1/s7du3Q0FBActc//LLL7BgwQIb/1KCIAjLcOv3B2HB1/vh9yNF0OyAs/EEQRAEQRjWdy0OGAnD4eusvd185ymXTh652pA//vgDPv30U6isrGR+2A8//DAkJiay1zBAfuONN+Cvv/5SZqHx/scff8wC7OTkZLj77rth2LBh7DXstV62bBmsWbOGfR5+zo033ggTJkwwuXykoqIe5DxDgyJslZX1Dlnm4uzQ9nVspNi+HZ2dMPHtbdDQqrioBvt4wMy+0TCnfwxEByp0LgjbQMev40Lb1rGh7evYOPL2bW1tgfLyQggLiwEPD09wVtyNzGAbsu5CQ/0M7sGWRYAtZyjAJmyJI18ECOm2b1VDK/x6uBBWHCyE4tpm9pybC8CEHuFw0/BE6BlJLTK2gI5fx4W2rWND29exceTtSwG2PAJsm5eIEwRBEMbzw/4CeHbNSTiQVw3Bvh6wcHgi/HrLMHhleiYMTggC1Pb461QZlNZ3tzwkCIIgCIIgLINNRc4IgiAI09ieXQFbzlVARlQADIgPYs+5u7rApB7h7HamtB7WniiBkckhyv/z5a5ccHdzgWsGx9NqJwiCIAiCsAAUYBMEQdghp0sV2hC9Iv00vp4e4QfpESnKxyh+9uXuXKhuaoPB8cHQK4rKxgmCIAiCIKSGAmyCIAg7o6apVdlrnRauOcBWB7PbmdEBsD27En45XAiPRvWw8FISBEEQBEGYzqlTJ9jN3z8AMjIyITo6RuV1dJvau3c3lJQUQVxcPAwePEzFYgtf3717B5SVlUFsbBwMHjwU3NzcwNJQgE0QBGFnnC9vYH+jA7zA38uw07ibqwtM7xPNAuyTJXUWXkKCIAiCIOREo+A2oglXFxfwcnc16L0uAODt4WbSe43hww/fhVWrfoNRo8ZBY2MDPP/8U3DffQ/B5ZcrrJxPnz4F//3vgxAQEADp6T3h66+/gJCQUHj99bcgNDQELlzIhiVL7mbBec+eveDHH78FHx9feOut98HX17DkhKlQgE0QBGFn5FY1sr8JIT5G/b/UcF9lgI4GEi4ueOkjCIIgCMLRGffWVq2vjU4JhaWz+ygfT3lvOzRpUeEeFB8EH87vr3w8/eNdUNXYqvG9vaP84cvrBhm9rG1tbfD999/ACy+8CiNHjmbPbdnyL+TlXVC+59lnH4cePXrB88+/wrLW9fV1cPPNC+Ddd9+EJ554Gl5//X+QmJgMr766lGWt8TM/+eQDuHDhAmRk9AZLQgE2QRCEnZFf1cT+xgcb53OdEOzDMtn1Le2sxJx8sgmCIAiCkBvu7u4QFhYBH3/8HlRVVcLw4SNhzJhxytfz8nLh/PlzsGTJI8qScD8/f5g+fRZ8/fUyaGhogP3798Bzz72iLAnHz1y06C7rLL9VvoUgCIKQDD5THBdkXAbbw80V4oO8IaeyES5UNlKATXQDKxtwAkbcevDjgQIYmhAMyWGKCgiCIAjC/vj3HkUmWFuJuJh1d47U+l712rffbh1m8HuN4e23P4T3338L3nzzNaivr2dZ57vuWgL9+w9gQTcSGRml8n8iIyOhpqYaysvLoKOjA8LDI8AWUIBNEARhZzwyuQfcOz4V2js7jf6/kQFeLMAuI39sQgN7cqvgP78fhwcmpcGlvaPYRMz//jrDXhuRFALzBsbC6NTQboMxgiAIQt74GNELban3GkN0dDQ888yL0N7eDkePHobly7+E++9fDCtXroGIiEj2nsrKCiZuxqmoKGc91xh4YxtcTU0V2IKubnaCkICimiZYd6KEZUEIgrAcKBri52n8HOlTl/SCDXeOhEt7Ky5OBCHmn9PlzMpt74Vq9ri9oxPGpYWxLMSOnEpY8utRmP3pbvhmTx7UNrXRyiMIgiAkp7KyEn74YTk0NNSzEu9+/QbAnDnzoKWlGZqaGlkAnZiYBH/++bvy/2CP9Zo1q2DYsBHg5eUFWVl9YePGDSqfu379Gjhy5LDFtxhlsAlJueGb/VDR0AqB3u4wIjmU1i5ByIyoAC9bLwIhY7ZlV7C/Y9PC2N+UMF94fWYW5FU1wooDhfDbkSLIr26CpZvOwUfbcuCpS3rCpJ62KcEjCIIgHJPAwED466/1sHbtahg3bgLLYv/5529w6aWXK7PXDz/8GDz44D1QVVUBvXr1hq1bNzOhs8WL72Wv33ffg3D33YtYkN67dxacOXMa9u3bA++885HFl58CbEIysOQUg2skNcyy8vcE4czH2dOrT0BMoDc8NqWnrReHcCAqG1ogr6qJZasHJwSpvBYf7AP3TUiF20cnwerjJfD9vnwI8fWAYF8Pmy0vQRAE4Zi4ubnBW299AJs3/8PEzLCf+sEH/6NUFEcGDBgE33yzggXi1dVVMGvWXJg4cTL4+Cj0adA3+5tvfoQNG9axnm18/5IlD0NgoOr1zRJQgE1IwrGiWnh+3Sl2PzM6gPV5EgRhmTaMnTlVJmeis8sb4IcDBeDn6QaLx6ZIvnyE/XKsWOGPnhTqo9VfHXvtZveLgRl9ogEbgdxdqRebIAiCkB4vLy+YPHmqzvdERUXDNddcr/V1LCXX9bqloB5swmxwwH7LdwfgdGk9hPp6wMMXpdNaJQgLUVLbzP5G+psWYFc2tjJV6A2nSiVeMsLeOV5Uy/72jgrQ+160e6Pg2nIcKayBptZ2C34DQRAEYSkowCbM5uu9edDa3gmpYb7MTB4H73M/2w2FNQqvXoIgpIOrf0f4e5r0/4N9FCW91Y0kUEWocrasgf3tEWF4i8/Rwhr4bMcFOCoE54T51DW3wS3fHoCL3t0GFQ2K450gCIKwH6hEnJCkPBzBclMsWz1TWs9sgE4U17E+UYIgpIPrHGD/qykE+yhO+7XNbdDW0UlZSEJJTKAXmyhNNyLA/vFgIfx5tBia2tohK1p/5pvQz/68amjvBIgN8IJQX9Mm0giCIAjbQRlswmzQwmVij3A2MEN6RSoGZ5TRIAjpqeQBtpCJNpYAbw8mYoXUNCk+iyCQe8anwvcLh8BIIxwg+sUGqky0EuaDk9NIblUT3PnjIThbVk+rlSAIwo6gAJswm0Wjk+F/0zOZyiwyJDGY/f1iVy4rHyQIQjqwhxoJMTGzhX2zAd6KLHaV8FkEYSpJIYrzfmGNQhuAMJ9TpYoAG9l9oQpyKhSl+wRBEIR9QAE2ITmjU0KZAA5y/y9HWT8ZQRDSwIWPTC0RR6gPm1AHz9PtHagLbhy8DQg1Nzo6jf//RHdOldSp6Cyg7zhBEIQxdNL52KbrjAJswizqW9qYd6p4YBbo7QH/vbiHMtu24SSpFROEVLw1py9su28MTEgPM/kzgiiDTajx7ubzMPGdrfDD/gKj1g1aMrq5ABO6rBAE+AjTqW1qgwKhGmB8muIYpwCbIAhj/KORlhaqKjIWvs7c3MyXKCORM8Is1p4ohZfWn2Z92K/PzFI+P71PNBTXNMOms+Xg7aE42AmCkAYPN/PmRl+Zngmebq7KUnGCOFFSB42tHUoRPGNaDiL8vaCotpkFhuEm2scRquXhKDinsEsrpACbIAiDcXV1Ax8ff6irq2SPPT29wMWFK684Dx0dLtCOapEGZq4xuMZ1huvO1dX8/DONrgizqBIElzQNym4ZmQi3jkqiNUwQMgMDIoLgYGn3OaVFl7/RKyYmyJsF2IXVTUrRM0JBQ0s7PL3mJBTVNMF7V/YDfy/dw664IG9YMjGNCRHGBSvK7wuoRJwgCCMIDFQIVfIg2xlxdXWFjo4Oo/4PBtd83ZkLBdiEJIJLwT7dBZecccaMICw9ofXEqhMQ6ucBT1/Si44xQhKKapqhobUdPNxcIEEI6ozhgQlpgKf7BEHwjOhiR04l/H26jN1f9MMheHZaL0gN026DFh3oDVcPihO2S5MywMY2LK5tQhAEoQscfwcFhUFAQAi0tzufDpKbG/5+X6iubjA4i41l4VJkrjkUYBNmgf3X+gSXsKfs37PlcFlWFK1tgjCDsvoWNmDHHmpzJ7De/vc87MyphCUTU2FQvEL5n3BOzpUrbKCSQ33B3YT2g15Rxme9nYE3N52Dr/fkKR+fLKmD+cv2wtJZfWB0aqhBlSY46YGihNVNreSJTRCEUWDA6OpqmuOIPePu7gre3t7Q2NgObW3GZbGlgkTOCLPgNj/aPHlRmfbKZXtYidy+vCpa2wRhBpWNigmtUBMtusRcqGxgA/6TJeSx6+xwiy0sTyakobW9Qxlcf3vDYBgjCqi3nCuHO348BNlq9lvYB7j+ZCk7LnnGet0dI2HV7SMouCYIgrAjKMAmzKKS92BryWBjvxlXQn3n3/O0tgnCgsebMaSGK8pUz5VRgO3slNY1m9WbX9HQAl/uyoWPtmVLvGT2XW2CYAY6LcwXnpzaE8L8PCEj0h/yqptgz4Uq2HhKUToubrn67x/H4fqv9rEAHdHXs00QBEHIDwqwCYtmsJHbRiUxpdnDhbVsZp4gCMsdb4YSJ/gXF9eSlYezkxLmCxN7hENWNKpWG09dczu8vfk8fLU7z+69V3MqGmBntvnCQCXCcRXh58naOUJ8PeHnm4bCp1cPgMk9w9lrG4XebM758galaBy5bxAEQdgvFGATZjG5VwRMzYhgXqjawFn7YUmKHs/DBTW0xgnCRCqEDLYuzQNDiQjwVMm0Ec7Lpb2j4H/TM03WyQj3U+xLTW0dUN/SDvYKTg7c/O0BuOunw7A317yWptI6xXElvjb6erqBp7srjE8LZ97hOOGcV9WofJ2XjKeE+iqfO1NaD3etOAT3/XzErOUhCIIgrAcF2IRZ3D8hDZ6/rLdygKWNlFBFOWpOZddggiAI0zLYKHpkLhF+XiqBAEGYCgaOfp5udj9hg73o1U0Kxd3fjxab9VklOsruscVjcIJi0vnOHw9BY2u7SgYbxeY4GJDvzKmCPblVrC+bIAiCkD8UYBNWISnUR1l+RxCEaTQJA/FQCTLY4f6eyqC9xUYqm4Q8srYYFJtb2o2VSki5HQfYWBkyu18Mu7/tXAW0mRHQ8omrCOE4U2fewDhlUP/zwUK2/rGNCkkJ67I7Q+E5L3dXaG7rID9sgiAIO4ECbMJkUIQFfXkNGYQoA2zKYBMEKwu9YMKx8PSlGbD9vjEws68iCDAHtPry93JjA/iaZufzySQU1DS1waUf7IDxb29lQZyp8CqmMplVRGw7XwG3fncAVh4uZJaRuvDxcIOHJqWxChEUHNuVU2m2cFykFuG48elh8PBF6ez+L4cK4ccDBXCsqJYF06NTuhTHUUmcl4xzOzWCIAhC3pA8JWEyx4vrWL9abJA3rLxlmM73ZkQGwIfz+0FSSFfpG0E4K78dKYLPd+YybYKbx6XB4GjDfYRN8SnWBAovbVw8ymw/bcK+ya9uYn99Pd1ZcGd2gC2zDDb2QB/Ir2G3z3bmwvIFg8DP013n8YW6It/vL4Bn156Cj+f3h4SQroyyoTw6uQfcODwRgnS0c0zLjGRl3ygw98yak+y5G4YlQLhaUI4T1CdK6iC7ohHGG70kBEEQhLWhAJswGZ4NCDTARgR79AbFK3rOCMLZCfL2AFcXgF05VbDrq73QM9IPPprfX+fA3xJQcE3wANtcD2wu5lVYo/g8uZAQ7AO3jUyCnw4VshLrFQcKWRCriW/35UNisA8r3155uAgSgr1N1jtAey19Flt+nu5w1SBFqfh7V/ZjGezeUd0n25KEDDa1WBEEQdgHVCJOmEytUFbq703zNARhDNcOiWdVHzeOSIRAb3c4VVIPn+3I1fl/Ojo74Z6fDsMTq05AfQuVdDsiR4tq4bt9+UqLJ2uAQacUAfac/jHwzfWD4K6xKSAnMCt/66gkuGl4Inusrewbe8f/7++zcP8vR1jf9BfXDYQ3ZvWBACte3zKjAzROeiUJGXRT2koIgiAI60MBNmFW7x4SYEAGG0Hbk7c2nYMNJ0tprRNOCWaoKhsUJbTRgd5wz/hUeG5mH/Z4e3aF3uNte3YlrDleAp4SlYl/tTsXFn6zH349VCjJ5xHm8fTqE/D632dh9me7zRLYMob86kZJAuz4YB/oGekvG/9m7LnG3mu+b2cKbRhnyuq1HptcwRt7sVPD/PRmoLWBZfIvrDsF3+zJAynA1irMpONkHEEQBCF/6GxNmExds+El4sjp0nr4ak8eK40tqm1mpXHu+IAgnISn15xkVjzvX9kPhiQqWiaGJCsEjc6VNzA1b7Tl0WXRhXZIHhIF2CV1LSxryi2DCNuBvbjYY4tM6hGuPDdi5cL6E6VMFMsSwWt+VZMyQHYkeN/1EGHfxoDZRfCSx0muEF9PjQE2D8Q5J4prYfXxEhgUHwSjU8MMumZhKfevh4sgMcSHVauYC7aQrL9zpNmfQxAEQVgHymATZmewDZ3lH5OqCCQwMfPmpnOw9ngJrX3CaUCF5guCTR1X1UdQJLBvbCBM7hmus/QbFfu5lZBUBPsojt3qJsVnE7ajQqhscHMBeGJqT+XzO3Mq4fFVJ+Dyj3bC2/+ehyKJe5yl6sFGlu/Ng1f/OgPFVixx18aJ4jr2NyMqQKkDgscaxse5wqQCghNei344CJ/suMAeZ8UEqnwOXquW782HB1ceg6X/nDVq0gK/TwpIK4EgCMK+oAw2YX4G28CyNcyQXNI7kpW4Iv+cKYPLsqJoCxBOwfnyemjvVNhjccVlPnj+8vpB0KbHIolnsENMFF3SJraGVAufTdgOHpSigrS4QqGptQNiAr2YX/KXu3Ph6z25MD49HOYPjGVZVVODr5fWn4ZTpXUwIjmE9R/Hm6CUrQ76OaMV46Se4RAliJ7Zyi8ejzckQyQatuyagUwzRJyFxuvQ3txqdt/TzYVNdInBDPQe4XVUFsfHMYG6A+c8oew+XqIAWwz6ZVPATRAEIW8og02YTFZMALMz6RHhZ/D/eW5aBnx53UB2f/eFKjZYIAhn4FSpYsCPx4spA2T05UV02f4YC/+sf86UMy9ea4CluHyygItsYZm6s8MDbPXAFC2cfrl5GLw6PZO1FWAF0N+ny2DRD4fgmi/3seDYWNraO+DnQ4VwpLAWLuoZDq/OyFKZ9DGVMOEzTFkmKcF2JJzMCvX1gEj/rt8V7OvRrcQbFcUv7hXBKgduG5XcrXQcPanvGJ2sfLz6WInBGew4Ccvuf9hfADM/2QUfbsuR7DMJgiAIy0AZbMJkZvWLYTdj6RHuxwY59S3tLCsjVRkdQciZM8oAW7PnNU42YRm5tj5bS2Swo0XB3MsbTrMKExR4amxtZ8enFEGXOp/uuMCC6jdn92HWTpiV/elgIWshefHy3uz7nRFtATbi5uoCE3qEs9vZsnr48UAB/Hm0GDqhkwWRxoLnXa6wLWX/fZhMvLCPK8vD/fVOZrm6uLD9DgBv3cH/f9OIRIgM8IRn1pyCP48Vw43DNdt8WaLsXpyVx8/lqu8EQRCEfKEMNmF13N1c4d0r+8Lvtw5jpY8E4QycFtSL0zVUfPx2uAhGv7kFnlp9Uuv/b2hpl7wHu09MADw6OZ3dv3pQPBPaQpb8coRly6T23cUec1RLRyXnGqHFhAeQW85VsB5eZyUrOoAFchPSw3S+Ly3cDx6d3ANW3T6CVQTxABIDsLf/PQet7bpbDZALVUIJczD2JEsnNNmVwbZty8HJEkVFREak6mTW/rxqePzP4/DRtmzlOjMUrCRAgUG8ZnGLSm3kCetXygA7WrhWokAoQRAEIW8og02YTE1TK/h6uLGA2VgGxZNqMeGsGezuAXaAlxu0tndCSZ32wfPisSlw+6gkSe2bMDib0z+W3TiFNU3KntMVBwvhgYlpkn3fkYJa9jtjA70gPVyxHjBYzIwKgOfWnWKZ7BuHJ0oa9NkL/eOC2M1Q0J85wLsrgHxo5THYkVMJ/WKDmOK4LnIFP+UEiZXDw4TJn3JBsM1WoKUV3rjAGQdL19eeKIX+sYFwzeA2uOSDHZAZ5Q9LZ/dlImi68PN0hz9uG65X1BMnkaoFAVApq7N4ZUOxxCJ3BEEQhPRQBpswmVmf7oaRS7dAdrm0WS6CcDTQaum2UUmwYGgC89lVB0ulkRI92SmczLK0zzBmksXe9VJyuLCG/UXVdDFYmo6TdaV1LXCqRFHeSxgHV6ZH0S598Awr2khJCd+Ppa58MJa7x6XC2jtGwFjBuYITLiph35dXzVoyyhta9QbXHEMcM/w83WHT3aPh2xsGm+yjrYloQVituK5FWWlCEARByBMKsAmTA4ZabtNloIq4egbl/S3n4fOdCmsUgnBkMCN75YBYuHtcisYeYy6shH3WthD+Q/9ttH/C7998tlz5PHpzYxAiFVzMrK+aFRJ6fw8VfMHFAb4zgX7LeF5EATJTGJmiCCaPFuoXjLsgZLCl9r7mntM5FY06LeesdcypV1ehyBm3pTsiTPYMiFPdFw2htK5Z58QyBuy8QkMqcHIAWykwuLa1iBxBEAShGwqwCZPAflAeBgSYMEuPA4TPdubCr1ZSLiYIOcOFy1raO6FBS1/ow78dgydWnWCDe6lBgbMrPt7FlMQHxgdBr0h/mJYZCa9ckQlSFmvz7LTYOokzTihrRhs/Z3QXuOenIzD7s91w3sTsb6IQLGOJv771h8EalumL/dilymB/PL8/rFk0gmVybYGu7C6WjSN1ze2sHxvpozbZow88RtCT/K1N58CaYHDNS/BtLSJHEARB6IZ6sAmTqBGy1+gbikq0xsJ701A5F3tK1a1TnA3MhlQ0tlBvuoOCGcPKhhZICPGBUDUbIMTbw5UdR5gtxiyyn1pwglnNf06XsUmt+8anSr58PIOOwS2qe2MftCU0G0rqWpRCXeqgXRT6KGPQhwEQ9hg7C7h9uUo8FwozpUcXz6JNbR1Q0dCq83OevKQXWIoB8Yb3kVuCZ9achJ05lXDv+FSYlhml8lqgtzvgpQZj8AP5QruCkQE2tjfg/8dKj0oNge73+/JZ5Qe2PeBklZTgxFeEv22qXAiCIAjDkcUIJjc3F5YvXw7FxcXQp08fuPbaa8HLS7u6dEVFBXzzzTdw/vx5iI+PhwULFkB4eLjBrxPmgyV25njyhvt7gre7KxsMniyuhSwjBzmONri+48dDLCvx4fx+FGQ7ICsPF8KXu/Ng/sBYeHCSQrVbXWwMs2s44VTV2AbqWle4b3QKWSwpVcTVBZQwMLjlu4Pw001DTZo40wVm5+f0j2HBn6beVD9Pd1h27UBwRnCdsO3r0pVlNRYss4/w92STGGjlZGqgLgVo84b7spuLC5tUsiZoZYXrU9P+i2XjQd4eSk957PtPCeuuiaALLP3GGyrh/3u6FMYlqQp2YosDis2hKrzUAfb/zeoj6ecRBEEQDloifu7cOZg9ezY0NDTAyJEjYeXKlXDLLbdAR4fmPjQMwmfNmgVHjx6F8ePHw+nTp9n/r66uNuh1QhqqhQGKqYNBHOhwpduFyw8oPWCdkd25VcqSP2OzKYR9wH2HYwShIk2MSAphVkCaAgMU/+KlvZZQ2B6U0BUIoNCahxv61LfBpjPlbHJACnDZUTH8f9MzJfk8R4KrboeauX25LRSWiWvDGtnPP44Ww5Wf74G3/rVuGbUhHtTia1ZmtD+btDKWUSkh7O+mk6Uavl+w6AqWTkGcIAiCsC9sHmC//fbbLLB+5pln4Morr4TPP/8cjhw5Ahs3btT4/jfffBMiIiLg3XffhRkzZrD/7+7uDj/88INBrxPGcbq0TqNXaHWjokQ8yIwyzmsGxyvvbz/vnMJGyM5shVLzzL7R4GGC5Rkhf1BADNHl+/741J4s+NQkjsT7riP9LZOVTBNl8V6+ojcL8opqmuHBlUfh9b/PsoykNSs6uI2Us8BFq8I0tA8Yw/VDE+CFyzJ02n39sL8Apr6/Hd7dfB4sBe8VxkyyNcFrFV+XcUGaM+efXj0A3r+yH4xPC4ORyaoq44YyRBDkO5BX1a3/u0CYTJPSA5sgCIKwL2w6mseZ9M2bN8OECROUz4WGhsKQIUPgn3/+6fZ+zGqvXbuWlZC7uSmUeDF4Xrp0KYwaNUrv64RxHMyvhmu+3Ae3fncQWtWUbSMCPGFqRgQMTVTM5JtCZnQAKxlFzjqx1df5CoU/cm8Nwk+EY2Wwo3RksHXBe5cj/LUH6OaAJeqfXT0A/ntxD5ZFR9BODLUSGls74Pm1p8zOfJbVNesN1M+XN8Ckd7fBTd8eYE4FThdgm1nWPTYtDKZkRCpL/jWRW9XIAl9LWj3xnv4KK/th8+w19lpr6+HH5zFAfm1mFiwYlmDS9ySFKCak8ioaVdYjVmLhY6wAscSx+tepUpj5yS54ctUJyT+bIAiCcJAe7NLSUqitrYWEBNWLXFxcHCvtVic/Px/q6uogIyOD9Vjv27ePvRcD6qioKNbLret1wjh25Shm50+U1MHqYyUwvW+08rVB8cGS9ApPTA8HP083GJZkeqBu73C7l+qmNvh2Xz70jQkwWtmWkC9ogcVbAHRlsBEMYlH0T72SgWewscfWUqB4k9ifGktnl0xIhQdXHoN1J0vhqkFx3fyrjeGxP08w7+EXL+8NF/eK0PiehGBvwLgaBb+wH1xqqyO5wvcP7tNsSTDARizZGx3KM9j1rbIqD5cKnMDAILqlvQOKa5sg0s9LxV8cW0FMKT039DdaYz8hCIIg7DTAxmAY8fVVFRnx8fGB+npFVk9MZWUl+/v0009D7969YezYsfDXX3/B9OnT4ZdfftH7emxsrEnL6S6x2I+UuAkDcf5XSs6J7GK2ZlfA7IGmrT9djE4PYzdnBTN6PLuJExkbT5XBotHJMEDwk7Xk9iWsQ6GgL4C91RGo9CzqsRVv36925TLrH5zIekJN5bmxrYMpREcHeVv1fHRRRiT0250HhwpqIL+mCQYKpbGmUCSshxgdvwGfRxXqHdmVcCC/GjKiA8CeMfT4HZIUArd2KqpYzNm+DS1tsPtCFdPImN5XUR2kTm6VIghNDvO12L4UKQS4aDnX2tmp0fvdEvB9DP29LXmc4MDpvolpEBXiB0G+nsrvQuEzrpJvie+PFCbosDJAzuMSR4CuvY4NbV/Hxk0GY2ebBti8jFtd0Awfe3hoF8/q1asXC6KRmTNnwrx581iv9dVXX63z9ZdeesnoZXRF1d4Q+WdRAgOlz0bwsu3bx6XCQ1N7gbtoR61tagVvDzfqGTaTnNwqph6MpaF94oNZgF3X3tFtn7PE9iWsw6lKof86yBtCQzW3AeD2DQ3yYdnr+rbu2//V+QPhxbn9WfkpHnfWJCM2kAXYFc3dl8tQMDNfJpS594gPhhChxFYTY3tFsgD7cHEd3GEH515D0Hf8Tg7xg8n94sz+nvrKBrjvpyMsu3r9mDR2/RKDrT6FQpa3b0oYhGjpUzaX4M5Ope1cq5sbxFppOyZEBrAJ26FpYRa/bi+e3N3qrLJFMZax1PenCh0W5Q2tdjEucQTo2uvY0PZ1bAJtOHa2aYCN/daIusJ3TU0NBAd3z5QEBSmEW8aMGaPy/LBhw2DLli16XzeFjo5OqKmRb38wzs7gDlRT0wjtan3S5lIkqKFelhEBtTWqokOLvjvIvEZfvKI3XKrmNWr099Q0sbK3nhF+EOAtvQWRnIn0dIUPr+rPMk5cEKigogEqK+stvn0J6xDkBvDI5HQ2GcW3K0e8fT07Fdu3pLqp2/vEWFv+K9xHcZk4W1Sjc7n0eWBjOS3i0dau83MywxXB9/az5VBRUaeS8bc3rH38egrf0dreCecLq7p5rl+obGCTOBj8erbr3g7mgu0Q2RWNcCK3EgKtlEQYmxgEYxP7svuW/G3atu29Y5PhxqFxrM3BEt/v0a4QF21oaYf84mrw9ZSF06pDQtdex4a2r2PjZqFrL36moVlxm56dAwICmE/1mTNnVILikydPsvJudfC9+H/Ky8u7BeT+/v56XzeVtjb5Bza4A0m5nJhxGp4UAnUt7eDn4drts7kqcrC3u9nfe9ePh+BsWQO8PacPjDBR1dVe8XB1gUGC4u/GUwrLF8z0qa9TqbcvYT1QGXpuf0V7hbZtiNs3UPCGrmzovv1tSXyQD8QHe0OAl+nHepFIfAovTbo+Jz3Ml5XDVza0Qmltc7cg0R7Rd/yiWwNOwMQGejM/a1NxEfqfcbKuqKoJAtUCsOwyxWQxbs+O9k7oYPUzlmFm3xhWIh7u6ymr/VkqsIrrUHE9VFY3MIs9jq+7osLEEr/Z09UVfDxcmfBgcXUzJIRQmbiloWuvY0Pb17Fpt+HY2eZnZ7TS+vbbb5X905s2bYITJ06w5zWVlKPH9RdffKHMeqOw2Z9//gnTpk3T+zphOJg1enVGFrMzQcueVzachoXf7GfZDwy+lf2UJqoii+Gfwe1NnJVQGynvEvIgSPDnrRIs8Dh1zW2w6IeD8MSqExZVftYGCpL9cvMwuG9CqlVsqLAEnovBZYt0IByZB349ynyjT5UqdEnMgQtgce90MZ5urkxBu3+sdhsvqbh2SDzcOjIJEi0opiYGr0uaLCUtxdHCWrju053wf3+fBWvCleb5MUUQBEHID5vXF916661M7RsD4JSUFDh+/Dg8/vjjkJqqGMyhH/aKFSvgtddeY2JoS5Ysgby8PJg6dSoTMjt06BBMmTIFrrrqKvZ+fa8TxoMCNauPl0B9SztTvA7z82C9dUikBFYkPMDmvYHOBHrSenu4woT0MAilgZNDcrSwhpXspoT5KoNoTQQLr2E5NQbSXIW4pK4Z9uZWswyypZSJDQGrVnA5LssyviWkXFCTxnOHIcwdEMtKyqU4v9gDNU2KSZVACVpk0B7qVGm9UnleDAbX3MPZEZXYp324k3nF/3brcIsfK1yFPb+qkQX3H2zLgQN51TB/UBxMEqzuLAEq64f4eHTrrycIgiDkg80DbFQMX7ZsGRw9epRlsVGgLCKiy8IlPT0dZs+erRQ9w/e///77cPbsWRZIY1CemJio8nm6XicMg3veYiYbByqYhTheXAf51Y3QKojSYabEnHJGDrce4lY1zrSO3/73HDS1dcCg+KFKaxss/8MJDOyTJOyf97Zkw64LVfD0Jb10BqfYboF0CDZVPFNVWss9sD1tuq+6u7rAs2tPwuCEIIg2snIFM9Iz+0YbnM28fqhp/sT2SFt7B5u85CX05sL3k1Ibn0/xd+VVN7EKDGvYDuYL6ugoxmmNiSh+fLa0d7Ltt+Z4CRRUN7EA25JgZRlBEAQhb2weYHOysjRfNDA41hQgp6WlsZs29L1O6OZgfg0s+vEQ9Ir0hy+uHQixQd5CgN0E7UKVarQeT19jSxq5yrCzUNfczoJrvg4woH59ZhbLZNoyU0nYxuMYA4MRySFsogXVnjmYwUZsmc3Fibb/++cc2y/Xnyw1OgDuHxfEbkR3apu7WgKwSkGqALtYaOMRU9/SBn5WEsY6WVIHC5cfYBnlP28f4TAe2OJWBqzuQqvFE8V1LLjGSaiRyV392ARBEIRzIpsAm5AXdS1trEyVZ7L5oAUHEZzoAGkGMl0ZF+fqwea/FwfV3HppXJrzeoI7fIBtQAb67TkKBWQxvJfWlhlsZEhCEAuu154wPsA2FqzgwGoZ/Ns7yr69sPVRLZSH+3u5STKxNrFHOCSH+kKPCFVhTxTPm/L+DogK8IJfbx6qYrtoCXBSlu+/LW0dOqudcDsv/ecs0/sYlx7GBDaNBfcXawbYCLb1YIk42tghCcE+VvP8xmuzPSvsEwRBODJUg0popL5ZUbLoJ2RU+GAJswRJIb5wae9IGJIoTUYqXMjMOVsGWw6lv4RlwcCB99fqy2Brg2ewIwJs2488qWcECwAxM3msqNao/4v9wGgtZChHCmtg/rK98PifJ8DRkbL/GsHAekpGJOv5F3NeEIxzc1FUS1garMTxdndlOuVcFFMb3DP7hwMFcNeKw7ArRyF6KucMNhIiaAooA2wrCLqdKK6FmZ/sgmu+3Gfx7yIIgiBMgwJsQmsGG/H3VMzGY9aDB8GjU0Ph2WkZMEewHjKX6AAvuGlEIiwanazMmDsDlY0K4Sfee43szK6E5Xvz4EypZT1cCevAlX493VwM7q9FpX6xkjwPHGIlaskwJ2Ca0kuhj/HB1myj/i8GTePf3go7DQycnKltBEXtkCAJ+q91gQKVSLJa4G0pMLvKJ2YLhOyyLm4ZmQR9hV7tZbtyTe7Bjgu2jmo5EiKo4u/JrVJmsK3R+43nhLNl9Uq7TIIgCEJeUIBNGJTBxsE1Vi9aIvz193KHO0YnM+VgZyp5Uw6sRcrSPx0qhDf+OQf78xU2c4RjlIfjoNiQfRv9kEcv3QzXirJTmNnD/xlvxcBBGzcOT1QGFMZYIiltugzM4vNyevRRNibzbY/EBfnAzSMS4bJM49XZtbH1fAV8vy+fieVxzlcoglwsH7cWXDeAq8ir0yGaUMVg/MlLerL7B/OrjbKkw885W66YlLSWLRiycFQymxzmrhopYZb/blSJR6FBXDsorEYQBEHID+rBJnQK7/AMdmZ0AGy7bywrEc2ramQqwijoQpjfeynObPIslnhgTDi+wBkHA1CMKzAgRaEzDzdX+Gh+f9bDKofDLTnUh7U0YF/t4cIaGJqov1cWfwff18MN8MFG/DzdwcfDlSnq4zpM9LT95IKlwFJurN6Rklf/OsOynD0j/WFgfJBKBjvFigF2iFCdI67IEPP7kSL4YlcuzB8Yx9S3MTjm5eJ4nUkyYFlRrby1oxMu7R3FJqjSrJShRy7qHQUDo/zY/cMFNTA1I9Iq3zsxPZxZ5u3Lq4aFw63ylQRBEIQRUIBN6M28ISg+g2k0tFyZ9eluFlxvvGuUZIIuKFCDPcmJoT4QauAg3N65IisK+sUGqpSIcy/kagqwHQL0rH1oUppyu+oD3+fh5sJ8s/EY5B7xUtjhSQFm4S/JiGTtDYFehv2migbFZBFOzgX6GH7JwUmJ3KomKKtvtmpW0hHAbDAG2ChKyQNs3oOt3pttnQBb84QhOlPgNuaK53idSQ3zZc+fK2/QG2A/v+4U/HO6DD6+agA8fFE62OqYwAossXe9pekfpyilx0kuzN6z6zNBEAQhGyjAJjSCZYRYhqZeTnihslGZdZVSLfX5dadhz4UqeG5aBlzS2zpZAFuDVQDqfsI8EKMMtmOAgWFiiOG+uDhQxhJQDIyKa5qVAbacuGd8qmmTdb4eRgUCygDbwfuwcVu3tHewygA/iSy0YgNVXR+wzJ4HsdYsER+VEspcEgZosWg7VVLH/qIdJIcH2NnChIAuVh4uYn/v/PEQ/HHbcJvaG1rzu9Mj/FmFB1o9nitrgPQIRRadIAiCkAcUYBMauWFYAruJeXnDafjpYCG7nyRxRilYUNB19sAySMjwVTd2eeMSzgWKmWFg9NTqE3DtkHjYcLIULuoZwUpo7RFj+685YX6CsKLw/x2V97dms17ae8enwnVD4iX5TKW4mCCChS0G8wfGsqBVrPlgadBuS5vlFmZeTwtijuIAG7U4JqSHQ49I3UGj2CseXS2cKYmLFWR9YgJh94UqOFhQTQE2QRCEzKAAmzAYbkViCTsSHlg6U4D959FilrkakxrKspYIZbAdC8zQoSI/WtsZGmCimNme3GooqGmGVzeeZc/1jpaXFzSWw54qrWPZSX3ia6YG2JN7hUNauC/0j1WUwzoqtVyLQRCUlIKYIC+VDHawrwc8OMk2JdTawMqEprYOZhsWL7qeYOBo0P8XTbzkVjUyYc4ACyuxy4nJPcNZhUxaGGWvCYIg5IbzXI0Ig0GrrPZOxSy5GCxh5BkH9FmVEmcMLD/beYGV3KOIlXqAXS0ojBP2v43/OlUGD05MMzgDrcnqxxr2P8bwv7/OwM+HCmHB0Hi4e5zuknEMAmb1i2b96MaAWXtnchMw1MbNECKE7L82cTFrgZZzuZWNUNnYAoPig1Ve4/ZzUSYKZmILBc/WvzojC5yN2RLZZBIEQRDSQwE20Y2i2maY8fEu5n39263DlPZCi8eksP69kcnay/5MpUvcy3lKo2uEzJU464Lr9/9mZkGokdk+wn62sT6yYgJgRFII7BB5RltTmMpQkSUMsDHTro/BCcHsRmiGK6xLmX3FjDVS1djGlLVR9X1oYjBTpbcmFfUtMG/ZHpal3iq4UHB4dj1OKGfnoP3blnMVTEjvygHag8iSOkWAjdcpgiAIgpATFGATGkv30GOTCYeLGtvQ8gVvloAraZfXKwZNzkCj4CPsJ1ihcU/wsWlhNlwqQkpQdd/Y7CQPSJf+cw6+2ZsHA+MClUrQcoEHzCeKa9lvxP1WarDHlpf+9nXgMvF6wecby+2lAoPWV6ZnQoiPB3y/rwBWHimCqwbFwQMT08Ca4EQhxtRYEVXZ0ALhQqUOgllrrGpIU6tsQIuu//xxXOm04K1FTBMF1D69eoAs7OtsBbpNYCUAVpfxKiiCIAjC9lCATXSj1EjvXingWYhiB1cMFpdO4kASkVKNnZBpBtuE4Ome8SkwNCkY+sYEyM6GB4/XhGBvpvK9P69a56RQUU0Ty876eripTNjpI6eyEa7+Yi/zht+weJRESy7fSRg/L+nOA3hOmdQjnE1SPLTyKHtuXFooWBsMovE6UlLXws7t4gB7au9IdlMHJ6M83Vygpb2T2XvFBmleLzipgzaHzgwKj244VQb3T0iFawZLI5BHEARBmI88zFUJWcFtccSDIUuDfZo3jUiEm4cngjPQKGSt1DPYyMZTpbB8bx6UCSWQhP1Sq8xgG6/cjEH16JRQk/6vNRiSqMhi78mt0vm+2384BBPe3qYikmgIfIIPS6jFitGORFt7h3KizU8iiy4x27Mr2fpDgTn1HmhrwTOrpYJNmD5wEibEV7HtMetNaIfbPBYJ/egEQRCEPKAAm+hGmVCmHWHFDDYOqO4YnQzT+0Y7xRZpEMrDMcOj3hf5wbYceOOfc3DeAB9YQt5VCkqFaAdUNx4ilImjiBv2zWoTTDRVRRwz1x7YvCtSIpcL+Hu/3JULhYINlql0dAKbWEQLLX+1iTZz2Xa+Ah74VZG9npoRYTOPaCxfFvdMi/cNfS1DmMHWZvH12sYzsOJAgXKCwhmJCVRMXpi7HxIEQRDSQgE2oSODTUJblqJByGD7ahhUBwvBGAoUEfZLVYNCywDjGi7i50iMSwuDSH9PKK5thnUnS7X2F/MAyNiWE8xkhgmZTLl5YeOkwtubzzMxSF2Boj483V3ZxCJaaLlLLED28fYc5f1pvaPAVnAFfLScO1tWr5ygmPjONrjmy71KLQoxIUKAXaklwEaBtO/3F8Ab/5w1SYHcUYgKoAw2QRCEHHG8tAohWQ+2sRknc8GBel5VIxPo4aVvjgr2sL4zpy+0aRicBykV1cmqy55BcaZHLkpnQaatsoeW/n0vX5HJfps2Cy4eGGMbhDaxKl3gJB+6GvBJP7kwMiVE2SeMKtkvXt4bekRYRgDSVHpE+MGRwloYmxoKPSNt55U8vU80fLsvHy7LjGLbEUXNCmua2XGBgbK3e/eJBV4irs1m7Hy5oronKdTXIY8tQ4kV/M5R6AwneozROCAIgiAsBwXYRDcyIv1Zz2Oilb13MRuBmSFUukXFW0cGM9fDkzVbnTmjJ7gjgiJMc3XYDDkC+tS9y80UTOT/T24Z7FBfT1ba/cHWHMiuaIS7VhyG728YorTHMpT6ljZmoYXl8DyolIqHJqXDvAFxkBbua9PAKznMF/5zcQ/WMsHPefnVjewvTqZqWrZQ4RyIVl2aOCcE2Kkys6+zNokhvswCDbUeUEiOLMsIgiDkAQXYRDcWj02xyVqJFMRwMJPtzPAMNgXYhL3DM8+mVsOEyTTARm4ansgCmtc2nmW9wu9vzWaBpDEcyKuB+345Ar2j/OHL6wZJunyo7ZAeYbvMtXoWW0x+leCBrWUS99LMSOa1nhyqOYA+X14vS394a+Pl7gqJob4so3+mtJ4CbIIgCJlAATYhG5RWXU4QYGeXN8D+/GrWn8jVmNUz2Kj+S9gv2RUNrMQVt7Eje9SuOlYMB/KrmU2QekDEha0ihWPbWND+C0WyBttIAVsTLW0dcMM3+yEhxAeevbQXxAZ5w+3fH4LfjhTBLSMTjdrWmMHW5CTgiFQ1tLJjAjPaWNKMxGppBcJye10l910ZbHlMINgSrPZCnQNnn2wgCIKQExRgEyq0d3QyYSZbCMfwALvECQLsffnV8NL60zA+LUxDgK04LLUpMxP2wS+HCmH53ny4bkg83Ds+FRyV348UwZ7caugT3T3jiBnUWf2ioW+MaX7FaFOGNzlRWt8MZ8rq4UJlA8sgov1VVnQAE/A6WVJnVIBdJ4gd+lnAoktuYKb+aFEtvHJFb9Z7jcQFG6+1gQrivAebgkqA2f1iJN9WBEEQhHk4/lWdMIrjxbVw0/IDkGGBkkVDA2wUNXIWH2wfDZkrzNz8Z3I6XJ7lHJZljgq3GOKWQ45Kr8gAFmBjcKnOyORQdnMkSmpblFl53j/88hW9WV82qoIbQ73gk+7n5fgZ7KRQHxZgo/0g/kUSQzSXiGO/9qYzZSwQv3pQnIrCOlY4NbV1MAu3eCvrhBAEQRCEIVCATaiAgju2ymBzOxccQKF1i48JqsP2ZtPl49F9QN4r0p/dCPumwkZq/NYmOVRx3OYJwlVS0tbeATmVjUyPYLDgu21reIWNWFDKVNcDVNJG/Jwgg82D6RPFdawqYU9uFQyMC9L4XhTuemr1SVb6PKlnOMQFdQXSMYHesP6OkVBQ0+TUFl0crHTC6omG1nYYmqhZOJMgCIKwLo5/VSeMgosJhdugZxQVeEN8PJhybE5FA2REBYCjUiNkrgK8HDu76cw4SwYbe5DFwlViLlQ2Qpifh8kBJJ4LrvpiL/MS33bfWFlYMin7yiU4R3YF2I47mchJCvFVKsu/OiNLp60UPh8d4MUmVwqrm1UCbH6tMFax3VHJqWiEhcsPsPPM2jtG2npxCIIgCAqwCXXKhMGjqbY65nLLyCTwcncxWRTJXuAe17zfWp3dFyphR3Yl9I0LgitHkJCPPcI9fLF02JHhfbSFNU2sP9ZVCJqwzHfe57uhvRNg9e3DTZq0Q+sq/LSOTkWwbavzkhguwqh+jvpkew6zGVw0OhnGp4cZVyLuBAE2ipshZ8saWGWCuOxbmwc6BtjavLAJBREB3DO8ldlrono8QRAEYVvoTOzg/Ha4CP7z+3H453QZEzAzpEQcQeVeWzBvYCzM6Bvj8EFJdZMiwA7y1pyFOVRQA1/uzoNt5yqsvGSEFGBwWckz2DIICi1JVIA3K+ltae+Eg/k1KiXyGFzja6Z6PGMJMF9/5cK5STYBtto5EvuFUfzslIZedG0MTwqB+QNjITPacat1ONyzGkuZDxcqerB1EeLTFTiKeW3jGVj6zzmlUJqzg64TKLanrYqEIAiCsD4UYDs4b28+DxtOlcJDvx2D2Z/ugq925yqzp7pKxB29b9TWVDcqMldBWjLYPPAmL2z7BI8xnM5yEdmuOSoYBGfFBLJJuRqRtVwpr4bx9zKrtDtcZl7Y+FtQO0Hcg42gbZexvehTe0fCg5PSYViS4/fOYmUDn0j4fn++3vfz1opKUQYbLdJ+PlQI3+zNY9UShGK9ooo9sjevSrlKfj5YoKxIIwiCIKwL9WA7uPgJD9ACvd2hoKYZ3vr3PHy64wJ8fs1AjRYnfBBrqww2DqBQYRazRJf0jgRH5YGJaew38oGROjwoowDbPgnx9YBPruoPX+zKdQohphcuywB/L3d24xQLGWf1TK8pAfZJdm6SR7Dw8hWZrH9YPbzjita5lZRF1MZLl/dmwfXCYQkGHUPqGezTpXXQ2t4JQd7uECf0/hMAQxODYV9eNey+UAVz+sdCdnkDvLThDLvdNz6VTf6MSzOsbYEgCIIwHwqwHRhud+Xr4QZ/3jYc1p0ohXUnS+D6IQlK5V91BsQFQZCPB1NqtVXp9G3fH2SiRhN7hCtL3xyNvrGB0FfH6zyzTQG2/WaV+scFwf/N0qyS7GhoUtHmatvm6inwDDZvX5EDKMKlPm2SIPSi5xuRwcYyZ7T2wgk1Z5iIQUG8+yekGfReHmDzVgvkiFBanhUToFUgzVkD7A+35cCeC1Uss78/v1r52tJN55hqOwXYBEEQ1oMCbAcmKcQH1t85kg1QvD3cYHrfaHbTxcMXpYMtwcG0v5cb1DW3Q25lI6RHOKfAF89g6yrnJwg52s8dKqhmvcUoeoaol1IbC4pdyS3A1gTPYGPGtb6lzSDl9Fu+O8B+11fXDXRo1wRTQP/012dmKVXqEe6f3Sc60IZLJj+wEgon0qub2uB0aT1sO6/Q7hiWGAy7LlTBsaJanartBEEQhLRQgO3A4MUUAzV76gHFZU4J9YPDhTVwrrzeIQNsDEJWHy9mlmSTekZofE+EnyIowcmROkFpmLAfvtuXz5ShL+oZAb5OoBDNhd2mfbiDWU/9uHAI5AmCSzzwNJURSSHg4eYCfWNsH1RhoPLi+tOQGe0P/724p8prWB6PpcsY5OBvN8TLvr7ZeXywjQUDa3FwLQ6wMYNNdIGK7Dg5Hh3oxUT2/jlTzp6/dkg8Kx1HBf7CmuZu65MgCIKwDCZd1VtaWsDTU7Wv7uzZs5CcnAxubs4xmLRnDuRVM+GzjCh/uDyrK6ON1imIPvsUa6jNYoCdXdEAjgj6wL684QwLwLQF2Ojxir2rJXUtcLKoFlIDSXTOXsDj6PW/z7L7Y1PDnCbAxhJnFLHCPtBdFyqZVRWW+WrTGTCUAfFB7CYH8qub4GRJHfh6aD5Hpob7MVEu1L/QB7o6oKI24uflHPuIOWA5PfqqYw7WGVTXjeWyrCh27nn09+Ps8TWD42Bkcgj0iPCD48V1cLy4lgJsgiAIK2FUJFVUVAQ33ngjfPTRR91eu+++++Diiy+G3bt3S7l8hBmsOFAAr/51Bg6K+rEQDF6/318A289Xqjy/+VwFjFy6Be7+6bAs/FKx1M0RwfJRRF/gheWRf909CgY7gcKwI4EZTAQDgQBv58pMYraZZ/AvyYiEx6f0dKhgSF9f+Yfz+sGPNw5l/ff6aBQF4X6UwdY4AYGVPsv35jHxy7yqRtZCNDgx2K6qsqzJ3txqptuBCux3j01hFWHp4YoqsLNljnk9JQiCsOsAu76+Hm644QY4duwYREZ2V3e+6qqrwNfXF2699Vb2HsL2bDpbDj8cKICcClXRHV6ymafmI8oVxL1tLCzWP1ZRCoqZMBxYORpYQotgz5wusCfT0f3AHdnjHJX7zbGnskdm949hFn+5VU3MSkkqzpc3wPbsCoMyw5akRLA9ivTXHGAb0+OKrSII+oR74j+ECnjoPLvmFLzxzzmoaGhhVmZ/3DYcnpuWQWtKB/HB3kz0jFei8TarM2WOWRFGEAQhRwyOpFasWMFEMn777TeYN29et9evvfZa9p7BgwfDW2+9JfVyEmZkW9RFhvACjORXNWp8f4SWwaO1wP46zFQ0tXWwPmxHgw+snaV02Nngyu+oxu9sYB/yPeNS2P33tmRLNkGGYmD3/HSk26SgtZFKGR3h5eE+nm4kPqVlskLphS0cUzhhxVXlie5gjzWKw907PlX5XFoYZbAJgiBkG2D/+++/cNddd0FUVJTW93h7e8PTTz8NW7duhY4Ox8s82hvos6wpwI4L8lGWstYK5ay8vxCxtRAKWhzdMToZ3ruyr0Mq6/IAG3uwdYFepq/9dQbe3HDaSktGSEFVo+KYctYy1im9unQFXlx/SpLP5Ocwfk6T2zmVk1PRAAu+3gfXfrlX72fxbLy+ShZnJkSo4MHJFSwZJ3SDftcodiaeJMcJ66Wz+sAX1w6k1UcQBCG3ALukpAR69eql930JCQkQEBAApaWl5i4bYQaoPM1LkaMCVQeDmDlFBWukQLDSQbDHDYmTgdIo2okNig8GR6SeD6z19F2WN7TAN3vyYOWBfCstGSEF3FrNWQNsLE19dHI6q5S5cXiitAG26HxlC4r0ZLD9vNyZoNSZsnpoFUQjtYH9+fMGxMKlmdonrZ2dUqEkH6tCfj1caOvFsduqktGpoewvQRAEYR0MPuNi0FxVVaX3fVhG3tjYCP7++i1KCMtnWrAP1EdDhgS9ZbHsDhWtxSqt4hJyuYADVcxqO0o/a71gu6WvRJz3X5cJg0zCzkrEnUzgTMyc/rHsJhVyyGBjBjXAy51V/cSoTVpywnw9wMfDFRpbO9j5NE2HVRdWEj10UboFl9j+wWoq9BVHhfpZ/WJsvTgEQRAEYRAGjwAzMzNh/fr1MHz4cL2l5H5+fuxGyLeUUdnb1qAIBmqaWpXqx7yEXA785/djTN383bl9DVLmtQcmpIezgaO+XkK0OEJqmtrYJINjTC84Ppf2jmQeyPwYI8wnWgYBNk7wfb9wCJtE1tU3jCKS6ICAXti6AmxCP49O7gHf7s2DRaOT2SQrYRqoIP7H0WI26bdQoqoSgiAIQoIAe+7cuUzcbMiQIXDJJZdofM/58+fhiSeegDlz5hj6sYSVBc44T0ztxZRrA70VQUBLeyfM7BvNVHLlJL7V3gnQ3NYB+/OqHSbAxj45vOkDqw8wc9PW0ckmQkKdtOTY3ogO9GY3Qjp4mwsv0bYl+pTCscVGEWCrikhq0mJoamtnPdje1IetEZyoevpSUg03F5yY+npPHqSF+1KATRAEIacAOyMjA26//Xa49957YeTIkTBhwgTWb+3q6sr6rXfu3Alr165lfdqLFi2y7FITepnRNxom9Ahnwakm1ANvzKY+NqWn7NbsgLhA+Pt0GRwurAVHmfjAYLlXlP7MFmZsgn09oKyuhZXyU4BNOCv8fMUnDuVMghYbRHV+P1IEr/19Fib3jICXruhtpaUjnJFEYUIXqyo6OjupGoAgCMLCGNUkuHjxYoiJiYE333wTtm/f3q1He+HChew9Pj7yKTF2VjDLYqjI0sniOiiua4ZxaWEgN7jFSK6ebJA+2to7YPXxEjawmNAjDPz0CIxZiss+2sn+Lh6TDFMyIvUqtocKATb6wAJQ24U9sOpYMevXHZkSSpZCEpEc6sucBWzpcLB8bx78ebQYpveJhvmD4rS+j2tY6M1gc5suD4O1RgnCJLCiBlsccMIdJ6mowoYgCMKyGB1lzJ49G2bOnAlHjhyB/Px8ZseF1l39+vUDT0/yp7QXTpfWwcrDRRDm58n8apG35vRhHppyIk4YrKJgkDkz78t25cKH23LYfb+NbnB5VhTMGxinnNm3BvUtXZZo727JhlA/T5geFG2A0Fk9E/oh7IOPt+ewTNHH8/tTgC0ReBzcNMK2vaPnyhvgVGk91AgihdrAHmx0aegXG2iYTZeMWnIIxwRbjaL8PaGgppmVi1OATRAEYVlMSuNhWTiWggcGBkJzczPLalNwLS9e3nAa3Fxc4Pqh8RovpqV1LfD9/gIVISb0Gt1+/1h2MZaTuJGbi6IPGzO52uxxdIECYd/u67K6Qvsy/O2/Hi6CNYtGWM2+JLtCNaNliAjWU5f2grBQP3BpaQUga3n7UhGnnnmHorimWUVwTRsD44Pgz9uHg4eb7sx0Q6vigNbk8kAQUhMV6M0C7KKaZuivvQCDIAiCkACjI4tz586xEvGNGzdCS0uXxdPAgQPhlltugcmTJ0uxXIQZoMotKoZiUHr1YM1XUh7ciTOjk3uGyyq45p66OEGQX90EZfWmBdhHC2uZEjeWzK9eNAJ2X6iEH/YXsCyTOLhed6IERqVYzi80u7xB5TFWD+gDf3tIgDdUVrZDWwdF2HIHs5J1zYrMpD6VeMI4sOT6QmUjpIb52iQDVyh4cMfo+W59gTWnsYWXiFOATVgetJbbLxOhQIIgCEfHqEhiy5YtcNddd4GXlxdMnToVkpOT2f3i4mLWk4391yhwdv/99xu9IGfPnoWSkhKWGQ8N1V+mXFhYCNnZ2RAfH8/E1rSxZ88e9p7oaN2luI4E2m1xcbMIf202XaqDfyxnfOqSXiBXwbYVBwqUg+vW9k4IMMJj2MfTDS7LjGSBM04gYBk83rBPlnOqpA4e+/MEU/SdlhnJysdTwnwl/R1Yjo5BNfceV98GhP2DlSGIt7sr+HtR4CQlb/xzDv49Ww6PTk6X1GPb0ElLHphEa/HAVgfV/8+W1MGgAM1tKI28B5tKxAkrwCsvioSJIoIgCMJyGByllJeXwwMPPADTpk2Dxx57TKPP9S+//MJsugYNGgTjx4836HMxC75kyRLYt28fC5RPnjwJjz76KFx11VUa3489388//zz7rj59+sDRo0fh8ssvh2effbbbe7dt2wY33XQTvPjii6x33FngXrGYofVyd9XpscwZlRIiW6uYG4cnstv7W87DU6tPwIKhCbB4bIrZVi8o+sKpbW5jAfX58gZYcbCQ3YYlBrNAe0xqqMp7TaVvbCB8d8NguPi97QaXiGPgv2ZLNgS4u8L1Q+LNXgbCsqDNHYKVFvrsnAjTlMRt4YWNk2I4aYmnAW3Wh+rM/nQXFNY0wy93joLkAE+tIme+JHJGWIGrBsXBlQNimfYHQRAEIZMAe8WKFdC7d2944YUXtA4cZ82aBVVVVfDpp58aHGDje0+fPg2rV6+GoKAg+Pvvv1kmfNiwYZCamtrt/d9++y38/vvv8NNPP7HXsWQdRdfGjBkDU6ZMUb4PlwMDdcw8OBt8AKprIIhljOizjKXT71/ZD9LD5a9QjRlfTDpnV6iWWkvB4IRg+P6GwbAnt4qVj2OmbNeFKnZD5eI3Z/WBZAky2jx7jevekFJS3Jafb82G3tH+FGDbU4DtT4NYqeHr1BZWXRcERXAsDze0BBwn7DDAPpRXDcm9I7q9PiwpBIK83SEpRNpKGYLQRAhVTBEEQVgNg/1BduzYAdddd53erMz8+fPhwIED0NpqmOoxZqLnzp3Lgmtk4sSJzHP7t99+0/j+r7/+GhYsWKAMvvHvjTfeyDLsYp566inm1+3r63yDF0MCbPUMKvoty514QfEb+7ENBbNOmJXGck194L49NDEEXp2RBb/cPIwFtBgI42dwNXOkTo+KsDabsCOFNXCmtJ49xokNQ1D2yteTirgpqu28b9ZalNYqJlBM0QogdBNpwwx2a1snpIT6QpoRE5GZUQHs78G8Ko2vXz0ojlXWDIhXXPsIgiAI6bU7fjpYoGzJIQjZZbCxPzopKUnv+zCgxR5qDHj19T3X1tZCTk4O67sWg4/RBkwdzEpjxnr06NFQXV0Nx48fh7i4uG4937/++iscPnyYBenr1q0DZ8PQABtntFHxtt1OsvyxgV2WXViZYEgJLpZY3/TtAZaFXnnLMMO/K8gb7hmfCreNSmIZc561wr7ta7/cCzFB3qx8HL3DDRGGwwzYjcsPsPtYto9euobAy/nQB9vQ30woWPrPOaYUj9UZcwfEwGWZURZvg7ikdyT0iPSDIG/5T1jZG/x8ViL0uRvDyeI6eHHDaQj0cmf7wpjUMKPaPoYnh8APNw4x6jszoxUB9uG8aqOXlyCkBm0u39p0Hopqm+CJqT3Bz9M67hkEYU2OFtbAC+tPs9ZA1BXCikR0kXl3czZc0SeKtUmglSJBWBqDz7DYc11WVgY9evTQ+b62tjYW/IaEhOj9TAyYkeDgYJXn0f7r1KlTGoXNkN27d7N+cAyujx07xpTLX3rpJXBzc2Pe3Nhz/d5774G/vz9IgbuWPmY54CYEfvwvD8aQmGBvncs+qWc4s+wYnRYG9kBCqI/SZqu+rYOpguujSCjZRQVVU7ajv7sr9InryjCdLKxhExhod7I3t5oJHl05MBZm9YvRWYJ3oUqRSc2KCYBPrxkAnm6uBgXL4YJIHQq7NXV0QgAJZxnMf6f2hJOldXC8qA5e3nAG3t+SDXMGxML8QXEWyzDHhviwmznHL6Fl3QqDIjz+3NxcDJ5swompJ1afYJUsyI6cSjaBNm9gLMweEAsBFnIN6Cdkps+U1kFTWwcTvlO3c8PncMKNJs7sD3s8dv84WsREUBeNSYYgKhl3uO1LAJQ1tMLp0nrmzoBjvrQIP0gI9obcqiZYvjcfvt2bDxdnRMBT03oDRim0fR0TNxkcvwaPLPr168cywlh2rQvMGKNYGaqL64PbfGFgLAYfo5iZOk1NiiBl7dq1bFkCAgJYQI0CZl988QUsXLgQHnnkEVamPmSIcdkGbbi6ukBIiPz7kwMDuwb1b107GJ5taGXLrsuL9+4pGXaXFY0I8ILS2mao7QBIMWC7lDcpyoJSIwMk2Y5jQvxg8yOT4JudOfDtrlw2QfH2pvPw0dYcuH18Giy5uKfG/1dUX8D+9ooJhOiIQKO+E9XPsSy9/f/Zuw/wtsqrD+B/DU957z1jx87eOyEJkBASwp5h7w2l0AKFFmhpgX5A2aNAIcwEwiYhCZC9yN7DK7bjPWTL29b4nvNeSbEdD9mWrHV+z+NHsizL17qS7j3ve95zlEqneC06ki9un4YVe07hf1vzUFjdhA+2F2Dp74VYNCoaj5yXgVgHGclu//5lXVP5+4A+qmjJhs7DQ3wWWGJfYY05uL50XBx+PVYmsmBe25iHK6cmITjQNs89vVcpkKe/lV/XiikpHQcyZ7+6BrVNbfjloVkYEmGdwWA2+JzpvRsX4ovaYg1qtNLrk7nW/mVAq0xaLhoR6C1e47fOScPNZw3B+hPl+HBrPjaeqMCaYxXw9FTi9WvG8f51cQF2fP9aHGBTVe8LL7wQEydO7LYiN6V1P/3003j44YctekzTDHNTk1RAxqSxsbHL2WcfH+mJorXgFFwTmsWmyubUl5sCc5r5vuGGG0SxNKLT6XDs2DEx603b3ld6vQEajfWLalkLjc7QC0ijaYJO13FQgr5TN/c9ndKRRRsD7GOFasSrep/Bzi7ViMtwXyXUamn980DRq/DWSfG4blwMVh+twBe7T+FoWT1e/TULk+MCzKmh7R0pkrI1Yv09+7QdtH/D/DxFgJ1XUoMgxyz07nCpkDRkZBo4unh4BBZnhmNDdiU+2XkKe0/VYuXBEtw3Iwlqg/V6i1Of8ve3Foj1+vMzIywqhtXT+5ed6aE5qaIDQktDM9Ray+oYHDhZBR8PuUgLf+LcIfjj7GT8fKQcRbVN8Nbrze/H1zbkIjPKH7PTaNmHvMPrad4bWxHh54XXLh9lUf96E3o8CrB/z67E0OCO/bMbW6Xtb2tqtdpnExs8zvjeTQzyxuFiDfblVWFCNA/quNr+ZUBxVb14GlRKeYfP1bGRfhh78XDszFfj9i/246cDJfjT/EYEech4/7oghY3ev/SYls6KWxxgDxkyRLTTeuyxx/Ddd99h7ty5Yk22p6cnKioqREusn376CbNnzxZFyywREREh1mzTLHT7GWf6nnpsd0Yz43TSbAq0Tej7+vp6yOVyjB07VlQ8b5+yvmPHDlF0rT8BtvQYjv/hSi8gZ9jOgaJ2YpTuE+LjYdH/W6g2Vv/197b686OADOdnRmBBRjje3HxSpIsnBHb9d3IrpUGaxCCfPm9HqJ8XTlY1QtOodYt9PFDbTlbj6Z9P4Nyh4fjjnFTz7bNSQsXX0bI6sTaf1uNa8/mkgO3tLSfhoZDh3PRwaPsQvLvL+3egrhoba75u6fO1ICNC7I+GFun94yGT4YLhkR0eI7+6UWQ3mPoFv3zJCHNnBeobXNXQhprGNnHS1pf9tCAzAmMSgjEx1r/D77Xp9GLZB/GUy3jfOzFneu+aXtPHy+qcZpvtzZn2L6OCsMZOLd0c38fGBuLS0dGgUfhWnR46/vx1aTo7vn/7tPjslltuEYXLXnzxRbHOuT2aUb7zzjtx1113WZxyTPebOXOmmG2m2XHTuuzdu3fjueee63IdOAXJv/zyCxYsWCBuoxTnbdu2YcyYMbjuuuvEV3sUcNOMtrv0wVY3tuLZNVmiCNdDs1OcKv3bErdM6b3QXnt0cmxag20r9Bz31JebZsBMrcWSQvpe1f6ZC4dDBQNUDtqn3NHsL9KIdmia5q4rr2dG+osvQlXGfz1RKVpAzcuIGNDfNaUhU9sla/RNZ9aj7GW5jL+3EjdPjsfXB0pRWteC1zbm4pVLRnboWkCfqco+ruc6e2i4SFOkmZT2B/n2FW1prSBjgyEtXAqwaY0qY66Ilt2Qnmr0PHpOmlifbfpsZswW+lzdZeHChSK4pQreeXl5Yh11dHQ0xo0bZ9G6686o5zWtmf7rX/8qguGPP/4Yw4cPF4XLSGFhIbKzs0UgrlQqxQw6pYjT/adMmYKVK1eKCucU2DOI4lsbcqpEwNB+9s4d0eBLRYP92ybROm1aN0ozm/1Z8zs8JlAcBNradFh1tByjYwMQa6N1o67g93wpHX90u+J03dmSW41XNuRiQnzggAPsHGOWQmqY+7UGHCx1zVocLtWAuu5NSw6x2uOG+HrirhnJuGBEFC55fye25qlFsUi63dTqzdTFwBqa2vTmwN/SvtqMDVSicYCXXtM08Ct3sQF4xmqapKU3lhTBZcyW+nVkp1RsCoIXLVokZoYpuD558qS5KnhfUEuu5cuXi8dcv369CN7fffdd8T2hNdVffPGFuSDasGHDRIo6pZavWrUKycnJ+PrrrxEZKaX8dUaBOQ0AuAtLW3Q5M+opTSnTvd5PbxC9rBcNj0RYH9ZN9tfh0jp8f6j0jJlTXw+FWDt646R4i1p6deenI2X426rjuPbjPVbYWtdUXteCgyXSuvuZKb0HYJmR0jrEfONSgoHIrZJGwlNCuXiQrewsUOO+FYdEKr4l9p2qxVUf7cL//ZZt0f2pfYup571pWUeJxtSJoH8BNrX2++V4BV7flGe+ralVmsH29eTZazZ4wlWeoj5F+5k+xlwJ1dug4DrIt+cAm5YM5VZI67UZs/sMNs1av/rqq2L22BS0Uno2rc2urq6Gh4cHbr75ZtGXui+pyenp6Xjqqae6/NnZZ58tvjqvxX700UctemzaXnfi6gE2tbY5/53t4qR1w33Te+xrTDNDNCs1WB7/8agoaJQQNBpjjC16CH3QXz3u9NrR/vj+YKlYV0zqW3QiiA/gXstn2F+sMQfO4cYWZz0xZRRU1LeiuU03oD7Zx8ulg3WqcZ0js74h4dKASG5Vo/gM6C0VP7uyQWQW9CU4pgGSUzXNYsBkQkIQSswp4v37TC2obsSfvj0Mg3FNNr0+Go0p4p1bdzFmS7TEYfVdU8RyCZ69Zq7oXxcM6/U+tITsvLe3gw4fOx6eNSjbxdyPxUd36kFN65up77SprRb1u37wwQdFATFK3aZAe9myZfj8889tuc3MgjXH9kyJtiUamaS+tZQiSifPjsQ0S27qQ25NBerTM/bUN7eVi670+DylWBjkBnor4WfsLW5aa9sfVOXdNONJvc6ZbcQGeosZClpykW3BOlJTZkJCH3qTJ4dKabQFxt8tqRvYDHZymApz0sPE9eV7i82t9yjYPmuIdDtjgyXY15ODa+bWqBMFZRPSeWRVvWt12mFOGGBT0Ey9sNeuXSuqfxPqRU1p4dR7mnpQ0+z1888/L3pSM/ulyLryDDYZauwZe6ys5/QeCnRP1TR1KChkS6b2PVWNHVPvaCCA0sdp/Wh/XdGuevKH14xFmAWzs+7IVDU+wcK17pRpE2dcz06zlv11pLROzFBSMb3BWI7grmjGenJisLi+Iaey1/tTRokp9dtSV42NwY+3TzbXsIgN8EZyiK8I7vvrEqpaC2BzbpWoDUEB/zPnZ+BPZw/p92MyxhjrO8reoPan7bM+GbNbgL1nzx5RjZvacpls2LBBFDajtdgms2bNEm27NBopVZMNLtOHBbWacVWmPtOmtbbd+Xp/CS5+fydeXJczKNsVYlzzQ+lH7b27NR83froXq46W9fuxKSPhpYuG47FzhmCIsRIsOxOl31LBsvQIy58jaq9GKur7f6AdHx+Eb26ZiOcX956exgZmtnHW9+ej5aJQU0/6U6CMBq9ogNK0zOmJ+elYftMEi4rm9fT6oMyT8vpWnKwe+Hp/xvprY04V/vz9EXy2+xQ/icyl0LnXNUt3476vDoqBzJ5EGCcp6DOZMbsG2LTGOiYmpkN/aWqnRQXO2velpuJkAQEBaGhwrPRdd0FrlF19Bpv6GJoKGFnyXAQPUjVJ8wx2pwC70vgBPtCZzZmpobhkdIzoobvnVE2vBxB3dN3EeLx1xWjMSAm1+HeoUvRAU/tpZpVmSU3tv5jtzEkLg8pTgcKaZuw0VozvqYJ/+0EUe6G1/SntUs8bWrUizZ0xeywj+y2rEvuKeBKEuRZ1Y5toQUf1UHqrA2VaRmnK+mTMbgE2BdHtZ6X37duHxsZGTJs2rcP96LbKykoEBvZ/tJ/134qbJ2Lt3VORbkyjdkUjYvxFQEMtyU4YC0t192FrWm9jzwC7yhi4mX4+EFQZ/fx3duCOZQeQZ+ytzQZmyYQ4LL12bIc0fOa4qPL2wmFS14idhTU9rouva9H2ef00Fbt7eX0OnvjpqHi/WYup6F5lQwve3HQSM17ZjHcsrIbOmLVE+nt3qNfCmKswTapY0qLLNAnFATaze4BNbbmoLZYJtcois2fP7nA/apmVlJQk2mixwUejdvTh4sq9VVWeSswZIs1QnuqhMJW6Dx+21hBqngk9vQabZplNAbc1AmwqzJFhHDzZflI94MdztfXX/VnnTuthaeZ5IK+Tf63Nwn+35p/Roo3ZxrUT4/DJdeNw78zuuwRomrVICvFBXJB3n9phUaXlz3cXYfWxCizbU4Sz39iKf6yRKvgPRLhxzR9tl+mzyd+7T408GBswUzYHrz1lrhtg9/65GmH8PC4fwNIwxnpi8dH92muvFT2vi4uLoVQqsXr1asyYMUO02DJVGV+5ciX+85//iIrijNnS7dOSRIXgz3efwoc7CkSv684zkOYU8UGawc6I9MPj56Z1KIZELbVMqaDWKn41Ni4Q2/PVPc7eu6Pnf83CzoIaPL0gA+dlSoUYBwPNlH59oERcv3o8z4IPBpqRjg7o+T4xgd748qaJ/RrEos8MGijbka8WAfEA2teb0WDAQ7NT4amU467l+zssT2BssJjqs9Dre6CtCRlzJKYBbktamA6PCcA1kxOQEcaTgczOATYF0m+88Qb+/e9/o7CwEHPmzME///lP88+vv/56FBQUYMmSJbjqqqtstLmsJ9tPVuPLfSWid+tA+y47Omql89n140WK5XvbC5Bu7I/bZYr4IM1gU8rRxaOkasEmlcbZa2oFZa0TGVPLoQI1p/iZULrj7sJa0XYjrY9F4Gjt9U+Hy0Q68E2TE/q8P/KNqfo0gELtl9jgooE0P0+FmHm2Fso2oQBkmzFLJMMKa+vbvzaqB/mziTGTAG+l+KKBI1pmxHUjmKugCQ1iar3ZW+HJc0bFQq1ugJbrYTAb6NPZ4FlnnSW+ukL9sCkIT0tLs9a2sT6i4g5UIZT6xAKuHWCbmPod51Z1XI9Mqdl9WY9jK6b0cGu2bjodYPMabJPnf80WATIF16ZiUpaiE81XN+aJwlk9Bdj0mqIBE9qX7QuomKpCUzoyG1yvbsjFsr1FImvhnKHhVl3ukYXThTozI61X04KKFBbWSK+Z2KD+t/5irD/os2tYpL/IgqL2ghxgM1dBxSMJD3QzR2C1If+FCxdycG1npjVVpiIm7oBmskledUOHqto6vQHXTYzDRSOjEDyIaZh7T9WK9kE1xhkqSlN98KwUXGnFAlrxxgC7tlmLWuMggjuj9lpb86rFdeot3Fv10O7Wzje0nk7n78o3B0pEgTm6bC/fONCRGMKpZoPNQylHq86AVUfLz/jZB9sLRMuWFfuL+/y4oarTg3KeChlSQwfeGo+K6fx15TGxTW06A/y9lAPqrc1Yfw2L8hNt42hwkTFXoZTLRVZQoAUp4qRFq8PhEo05MGfMmjif0SUDbNdt0dVZQpCPWB9JqUFVjW3mmWJKF717RvcFkGzl2TUnxNrwt68YhfG+QSLApirV1uTjoRAFOqh/I82EBbp5miml8VJq+IhofwwxZjT0BaWTeShkIuihdPHuKk5Taxvy0vpc0S6t8ww2B9iDj3qef7D9dJp+e5ThQVk9/Sl8174g4YjoALFueqBo+K/9QMDQSL8+DwYxZg03TErAbdOSRL0BxlzFbdMSxZelLnx9C46V1uE/F4/A9JQQm24bcz+uW2raDbljgE0nvqag2hGqoppOzCuMva9t5ZrxcXjgrBSrpp47q/1FteY1Vf1BQY5pLWz7CvCdmdbXd17vf9IY3HGK+OCLDZSyOYo1zdB36gtf1dDW7+r97X9nTJx1Wk62X299dnoYZqda3qudMWuiqvocXDN3N8xYKfNwKfeEZ9bHAbYLMQWYpiqh7iLKOONY1q6vJ1WTPFXThMZWqejFYKesU5o4OVZWh8OldaLStDXRrPi1E+LM/7s7O1hcJy5Hx/RSVtqCgKq6Uw9zE1p+YErnLaqVZqwJBXWmfrKJwZwiPtgi/L2gkEvZB50HtUz950P6EWBTV4JbpiSIgpGTEvo3cNPVYCCt8yd3TU/ClS5eiJI5Pvpce2ldDi7/306sN2boMOYuxiYGi8v/bivAL8cr7L05zMVwgO0iWrV68+ybO81gE+pzGxPgJYpcmfx2ohIXv78Tf/np6KBuC80sky151WJdzysbcnHjp3uxKbdqULfDnbx22Uh8fO3Yfs9gt2+XRCniXaEiaJtypHXe9D4zDdzIZTL8ds80fHnTBHN/WTZ4aBYu2vi8tx/4MO0nEtqPNn3U5uXO6Ul46/JRA3pddWZqGWjqcMCYPb3wazY+31Mklrn8c22W+Fw7WdUozicYczZPrjyGO5fvx9EyadC9NxePjTXX23jq5+PdHv8Z6w8OsF0EzdZQ0RL6CvRxr6X1VEH4u9smY17G6d7HajtVEKcK36a07dzKRnObLmunclMl4qyKeuwwthFyZzSgRG2UKO1xoIFPVynilAlB/dbf3ZZvvm2fMS3dtN4/KcRXBNts8JkyB06UN3TILKgxniz1J0XcVkzrwU2fC4zZExXfvHBElPmYedF7v+PyD3fhv+0+6xhzFlSwjNp1WjpARNXG37lyjLhOBU6/2tf3gpiMdYcDbBdBhZk23T8dq+6YwoVzjL1x7dVnNjVMOuHPqWwwrwMNU1l3drOothnXLN2DP31/pEP1dNY/N06KxyfXjsOlozv2MSffHCiFzgBMSQrG5WOk4mb/91s2mtoGd/kB69q05BDMHhLaoSI3VdenfeZovaap8j95eX2OvTeFMSSF+uKJ+em4Z0aSOcimZQxz08P42WFOhzqBEJWn5ZNMqeEqPLswQ1z/6Uj5GbU8GOsv95rqdHFUrMnfm3cpsWcP7NQwFXbk1yCnqhF1xrXX1p7BpmBCIQMa23Si13aYn3umJxfXNuPLfcXi+bjMGPz2R3cVwGnwYs2xcnORs5QQXxG8nT00XGQRLNtThLzqRlw4Mgrj4qyXSswsd8XYGPHVHr0vkkN8odXrRYaBo3h+8TC8u/Uk/rEw096bwpjZwuGR+Gx3ESgJhz5HMyKs1/edscFiqnWj8upbNtvsIWEYFROAh2ancCbaIHvulyyROXjT5HhkRvrDlXA0xpxeiaYZf/nxqEjx+fT68eI2U3/PADsMOFCBpLlpYfD2UOCLPUViRoBaQVmTh0KO6EBvnKppFm3B3DXAplZMn+w6JdpzDSTAbk+r04uWXDTbODE+CKV1LaKN17SkYLFP/3beUHPbJuq/vbdIg6lJ3OLD3mjA43BJHdIiVKK6+PKbJsDR0OcCfTHmSML9vLD6rimilRwvdWHOiNLCW41pS359mMEmdDx/76rRnP05yLR6msCoEBNRV7tg0U8OsF3E/7YXYN+pWlw0Mgoz3az9i6+HAgdLpKIWFGTTOnTTSKY9ZvTTjG2cvt4vrecZHuVvkw9uWu9NAXaBusmqhZiciXmtfT8KWXVWUd+Cf/+Wg3Xtqul6GwNp2ocUXJP2PZFP98CW2kUx+6BMA8pkeHl9rnhfvH/VGKu8JhhzF3SMoqPUp7tOYWdBDW6YFI+xVmpRx5itUVFZk/7UY7HFORrrGRVUpOCaJqEog8DVOE7uHBuQvadqsDGnChVuWDyHZql9PKSXcrmxVZlpBtvfy35jSM3GQhsjom2T9pJgLO5UqO5YPdmdmKoxW2OdradC3iG4br8PJ7QbwGhu02FDdhXe355vDvC5RZd9/Xi4TATXhAacPt9zys5bxJhzOlCsEV0wLK3EzJgjqG/RmSdcqHVjf9Bx/bWNeeIYwmzvsLH/eGakX7/3mSPjANtFlGpa3LJFl2nk0fR/l9ZJPYkXZEbgklHRiGlX+GiwUUEsah82Ny3cJo8fHyTNmrrzwcCaxewCfTxEKjg5Jz1MzOAQ+uCnNYomlDr+8HeH8fYWqdJuhJ/ngCqYM+ssy/jhtkn4+/lSsZoPdhTiyg93iT70jDHLJRmzcU5WN/LTxpxGi04vau4EDaCLzke/F2LpzkJkV9RbddtY146USs/zsCjXWnttwiniLqKszn0DbBLl7y3SdU0DDTdOTrD3Jol10l/fMslmI3OJwRxgm2awrZUOTH2P1x6vED2QqYXHvTOTRRDfvlhe52C+uwJpbHAH2aICvHG2yhNPrpRuy61qNPc3Z4xZXlnclL7JmLOgOixr7546oMeI9PfEwRKgrN79MkHtIbeqocOySlfDAbYLaGzVmlOio9w0wI4MMM1gSwG2o7Bl2kt6hAoPnpWCaOP/7o6smSJORscGiq/2OleipzXYtGbI1BLENNDB4BCDWjQo8vqmPNwyJQERbvp5yFh/UfV9kmesL8GYuzAdL0xLDZlt66bkGQfxko2Deq6GA2wXUFwjpUVL1ardc5eaBhbKNC2imjDN6NPa7ABv1y10FOzriSUT4uDOTGuggwe5oBX9PVOAncQz2A7l+olxmJcRjugA+y0PYcxZmTJyKHOnprGNiwUytxFh7MbCAbbtNWv1YgmnVt/kspMU7hmNuZiSWmmk2Z1na2KDvMV6Z+p/WFTTjMs/3CUKnP127zR7bxqzoecvyERlQ+ugB1M0Y04V3J9dmOF2VfudIV2cg2vG+sfHQyEGrCkbjNZhj/HlSuLM8dHSrhX7izE9OQTXTZTqp/SVaYlleT3PYA/G58zSa8eJmWxXreDOAbYLqGvWinZC7rr+mizIjBRfpiqo9mrRNdhyKhtEoDc0QiXWoLob6v9tjx7gprTx+ladOFAwxpgrrcOm9jmmDCHGHB11U9ldWIu4wP7PhnKK+OCTuWhwTVw/AnED54+MxpRYfzQY12G7OxpwIAFukC7/0roc/F5Qg6fOG4qFw90vwLYXqjhOKIWSMcZcyfMXDBOtL1355Je5Zh9symLsL+oIQsrrW6E3GCDn179NNLfpUFTbjNQwFVwZt+lyEXQg9OaZNEHT0uY2M9jhxgNChRumNFFq+PO/ZOHr/cWD/rczI/0RG+iNzCjXrH7JGHNf1HaQg2vmjH2w/Tz7f95H2XBvXzEKy2+cAB5asp0fD5fhqo92419rs+DKXD8CYW7joW8O4Xh5PaYmhYjvqciZqzOlR1Ow6W6yKurx1f4SUYHyktExg/q3LxkVhVEx/kiP4ACbMeaaaA12fYsWI6ID7L0pzIHQ7O6Lv+UgzM8TNzlAS1RrzWAr5TKMjw+y4laxrl47n+0+Ja6nuGj1cBOewXYBd3+6Gw+uOCgOhu6sqrFNpPacqJCa11ORM1cXpvJ02wDb1OLBHh/SSoUcGZH+nELGGHPZ+h53LNuP97YV2HtTmIPZV1SL5fuK8ebmk2jV6uEqM9jM9vaeqkVhTbPoenTBiCiXfso5wHZyVIFvw/EKbMiugrszteo6UdHgNjPYphTxynr3C7BzK409FLlNFmOMWb2NTnVjGw6WaMSsE2Mmx8qkSQxC1eZdZQab7MhX450tJ/F7vtpKW8ba++Fwmbg8d2i4WIriyjjAdnKUvmXqx2sKMN1VXJCPubjZJaOiMdIN0tpMM9gVbjiDbaoWz2najDFmXenhKngp5dA0a1FQLbUCZaz9sZeU1DY7xJNCa6YVctmAZ7Bpsuq97QXYVVhjtW1jkjXHyvGTMcBeNFzq+uPKXH+Kz8WZRg8DvZVuX+QsLVyqSJgQ7IPHzk2DO6A1UKSyvsWl+wl2llvVgLzqRnFQHR/PfVoZY8yaPBRyjIwJwK6CGmzIqRKtuxgjExOC8OuJSnG9WOMYAfa7V40R50ADFaqSOoRUN3CHEGtaeaQMf1t13Lysb1SM60+AcYDt5Eo1UoAdGeDes9dkiDHApjXYOr1BjGa6unCVF/4wO0XMZOsNgML1/2U0telw82f7xPUR0f4I8JYOiIwxxqxn3tBwEWD/fLQcN0yK56eWCZeOjkGor6eo/TI2znEGuK0xwRDiK01aVDW6X1agLc1NC8O6rEpEBXjjxknxbjEZxAG2kyszzmBH+XMP5KRgH1E4gVLmC9VNbjHi7qmU45rxcXAnPh4KXDo6GntPafD0gqH23hzGGHNJZ6eH4d+/ZSO7skHMQJ0/zPXTOpllZqeFueRTFWpcdlflhsvubMnbQ4HnFw8TWYfuEFwTXoPt5MqM6Tk8gy1Vdn5k7hAxi0uFKpjrWZ9ViWuW7hajzB9cMwbxwdK6e8YYY9ZF2UEzU0LF9RYHqRbN7KtA3YRTNU1WSce2ZlbbXcv345HvDqNNN7DXaaivMUW8kVPErU0uk7lNcE14BtvJafUGMaMX6eYFzkwWDo/EzNQQt2jRZZJd0YCi2maxBj0m0LUzGWjgJKuiAcUOUliFMcZc2UNzUsX5Ba27JcfL6lFU24S56eH23jRmB+9vz8fKI+W4c3oiJiUEi/awlNlgzyV5VOx3V2EtaBOol/VAhBhnsKsbW92qro0t5Vc34nBpHZJDfZEZ6Q934T5RiIt6YHYq/nbRSFRW1wM8wCy425rcNzfnYVNuNR4/Nw0Xj4qGKzteLrVgGx3r+gUyGGPM3ii4piCb7C6swZ3LD4iiqjNSQsUSJeZeDpXUicuhEX64c/l+tOoMYnA/w46BU4OxB7bKUznggNi0BrtNZxAV9AN93Ot80lYTI//+LQdz0sLwwuJhcBf86egC6ANFKedd6a6CjAeAmibXTmmi0WQaLScpoVJBO8YYY4NjTGwgIvw8UdusxfpsqYo0cx+Ufk3p4aYAmwZZyMvrc+2aMl5v7IHtN8Ae2IRa071z5Sh8c8tE+LlRJqQtlddL69nps8OdcFTGmJNzlwC7qrENdS1akQZGrdgYY4wNHkoDNvWvpRmpUgdp0cQGR4mmRXQroSCUOpc8cFaKuL7nVC0251b36zFbtXo8/O1hXPbBTny4o0CkZvd3BttaAfG4uCDEBfm4RSeawVBZLxVjpteMO+EAmzEXCbBrXTzAPlklzV7HBnpzaiJjjNnBtRPiRUowDei+ufkk7wM3UmicvY4P8hGZk1Tz5QLjgMu2k/0rLLt0Z6Hos56vbsIbm09i0bs78NeVx8Sa3b7OYFMXGebAM9j+7lUrigNsxlwkwD5YUgftACtoOrI8Y3p4Uojrt19jjDFH5O+txBPz0sX1VUfLsb+otsPP1Y2teG1jHl74NdtOW8hs5ZRaCrDjgk4XU52YGCwudxXW9Osx1xyvEJdjYgMwPMpfrH2m19U/Vp+wOO3c2jPY9Jp+a8tJ/HpC2jZH50gV3btSaQyweQabMeZUxsUHwlspF+0zfjxcBldF7dfig7yRGsbrrxljzF6GRfljRLRU1IoqSrdXrGkRs5Jf7y9GJfcSdimnjN07aAbbZKyx4GheVSMaW6VA11I6vQEXjYzChPhAvHTRCHy4ZKz4On9YBK4ZH2suWEaP+99t+agwphp31qLTi/MDa81g7y/S4IPtBdiQXQVH982BElz54W7x/DuqigZpv0X48Qw2Y8yJ0Fqhp8/PMI8G02im3mBAVkU9XMklo2Pw9S2TcPeMJHtvCmOMubU/zE7F2LhAc/suQscemoUcGe0PnQFYfbRj8M2c28yUENw8JQFTkqRZaxLs64lQlaeoLF9a17c1+bTG+ZrxcXjritEiM4LQ6+fpBRm4YESU+X4rj5Th3a35uOC/v+PjnYVnPM7lY2Kw7Q8z8dR5Q2ENYcZiXI4+QETPyz/XZonsvs/3nIIjamrTod6YYWB6Xt0Fl8hjzAXMTQsTlS8DvT1EEZKX1uXglxMVWHXnFMhdrI8j96VkjDH7GhUTgHevHN0huL5m6R6xLndkTIBYsrSvqBZLJsTZdTuZ9UxKDBZfnS2/cTz8vQbeIqs7lJI+OiYA+4s1eHVjHsbFBWJ4dMCZ3XRoGtsKTKnMVQ4eYNN5ngllktw9PRlBvo7VVkwhk+E/F49AZUOL21Vl5zXYjLkIqnxJ6dNavQHfHCxBdWMbCqqlNVOMMcaYrWapqJJ0dmUDtuZVi1lIUlbXdUovcy0B3h79Cq6PlNahqLZJpIr3ZEpSCN67egxmpISI77fn96+gmqVoRt7RA+z6Fq1ol0eoq0qLVo8VB4rhaDyVckxPCcGFI6PhbhwiwN6wYQOuu+46zJs3Dw899BCKiop6vP+BAwdwxx13iPvffPPN2LNnj/lnOp0On376Ka6++mrMnz8fd955J/bv3z8I/wVjjoHaZowwnuAcKNHAFdCB7ry3t+OGT/eK9HfGGGP298OhUsx+bQvuXH5AfE/p4YnGQpQcYLsOCuh25KtRYsXWbH/+/gguem8nDll4nmKaPT9U0rHC+Hvb8vHId4fF9lkzwKYAlnp/O6Jy43p0yhy4bWqiuP71/hKHL3jmTuweYO/YsQMPPPAAFi9ejFdffRV6vR433HADmpu7fhMfPXpUBOOZmZl46623MHr0aBFk5+fni5+/9tpreOedd3DbbbfhzTffxIgRI7BkyRLxe4y5i0xjgJ1T2QBXQAcTCrLphM3VUt4ZY8xZUVeH9hOQ05JDEGVsx0NZVM1tfSt8xRwTzTbf+9VB3L/i4Bk/o+Jjf/z2MG78dK/Fj0evi1JjhkNisGWdQUwTB7QtnYuSrc+ustqMc4C3EkpjD2xHncWuMFXm9vPE7CGhoM2ldlj0nnMkh0s0Yq04Zbe4G7sH2BQkX3jhhbj88suRkZGBF154AY2Njfjhhx+6vP8rr7yCGTNm4MEHH0RqaqoIzhMSEvDNN9+I4Pyzzz7Dfffdh7lz54qf33vvvSII//zzzwf9f2PMXiKNJzimD2FnV15n7KPoZkUyGGPMkVE1cVoTSygkmZ8ZIQIUqugc7ucp+mUzx0CV3ZftKerXLOcpYw9sKqraGa2t3ZRTJXpXU5s2yx5PmkSj10qgj2VrcykVuquBm7oW6/bBpkH8EONaZkcNsE3bFa7yhLeHArGBUus0R6smvvpYBf626jhWunCHm+7YdcV5W1ubSO++4oorzLd5enpi/Pjx2L59uwi6O99/8+bNePnllzvcvnTpUvP177//HiEh0joNE/q+vJyrWTL3EW5sh1DZTVsLe6LKsqnhKgzpQ7stKpDR/v9ijDFmf7T29v8uHI6v9hcjMdgH0QHSif4v90wzzwIy+6C1zVSp2+RYeT2+OVAq1utePykeNY1t+GJvEe6cfrozB1XO7qpfcaExIO4qwPbxUIjgN1/dJNK3Z6aG9rpt+epGc8svS9dvUzD+h9kpot1T+98xBZum1G5reHZhJqICvMyTFY48g01mpYahpqkVfl7WGWSw9naGO+jz6LIBdlVVFVpaWhAVdbocP4mMjMShQ4fOuH9hYaEIsoOCgvDYY4+J4Dw2NhZ33303JkyYIO7T+bFqamqwdetW3HXXXTb+bxhzHDSqSSoGYfSVRsOf+OkYGtt0eOmi4T0eLLfkVeOJlcfE9Z1/nGXx3yjVmPoo8gw2Y4w5EmqxdNPkhA63cXBtfw9/d1jMxFIATYPTKaHSoPZbW04iMcQH3x0sFcfkGyfFi1lQCsjvXLYf5w+LFO24uprBjg+SBlA6GxMXKALsvadqLQqwj5ZJbUTTwi0faKdzC2rr1fn8w9ROq6uBgf6i/2egaNtadQZRF8faTD3Bw1RS4Prg7BQ4ogrjdprOSd2JXQPshgYpJ9/bu+Mblmaxm5rOrH5cVyetu3jyySdx6623iq+1a9fi+uuvxxdffIFRo0ad8eKm+4aFheGaa67p93YqbfDmsBaFQt7hkrmW/u7f6CBvcSCk0WZbv35plpz6b4vrTW3mGYyutC9ColDILB65Nq3Vig+2/f8zmPj969p4/7ou3reuzdn3LxUD3VVYg+Y2Pa6dFI9opRxLJsaJgHr7STUe/u6I+b6l9S0YEu6HQ6dqRZD8wY4CXDYuBiG+p4OiolppBjsx1LfLY/D4hCARsFNhVUuO0UfLpPP5kbEBAzqmU0o6dU4hkYHeUFq4v2y9f3fmq/H0quPieaOWdleOi8U5Q8NFVW1ruGp8HCYkBjv8OVGRsShe3CBvpyO8f+0aYFMgTbRaaf2ECX3v43NmGorpZHzhwoW47LLLxHVaZ71v3z7897//FQXO2nvmmWdEBXGqKu7ra1kRhc7kchmCgy0fYbOXgIAzny/mOvq6f+k1u+nRszEYjrZrBaZTKHt8vzTpTq/90nl4WJw2VGYcoU6LDXKK92Nf8fvXtfH+dV28b7u25nAp3t+ch7EJwXh0QQaclbPu38LqRhFceyrkGJcabg48X1syHs/+dATf7S8WP3vmwuGYmB4pfjY7yBcjY3NxsKgW209psGRyonmyqtA4gz08MbTLY/CktHBKQkduVSOCgnx7HDzX6vQ4UirNYE9Nj+zTMb2gqhFHSzWIDvTGqLgglDZLa7FDVJ6ICJOKoFlj/za2avG/LSdx8FQt3lwyTsQClqqqbxEV0tXGgmMHijXi6+X1ObhmUgLunjNEZAwMBD1nY4fQc35ai1aHrLJ6RAV6I8wBltPVt2hRaUwRH5UShkAfD7d6/9o1wA4PD4dcLhep4u3R96GhoV3en1AF8faGDh2K3377zfw9fRg89dRT2LJliwiu4+Pj+72Ner0BGo1jFQ1oj0Zn6AWk0TRB56DtBJhr799AxekDT15pLeJU3X+syNsVVzlWUA1lTIBFfyNS5SlGaoM9ZFCrXacapTPsX9Z/vH9dF+/bnpVWN2BHXjUMer1TfmY7+/7dmyudV1MqeJ3m9CA4HZ3/Nj8dD52VLIp5qbyUHfbP2NgAEWAfKlBDnR4mbiuvaxHBOh3qVeh6fwYrZOLndc1anChUI6KHwXNqffX0+UOxp7AWEV7yPr0+Pt2ah3e25OPSMdF4Yv5QnCrXwFMhQ6ivR58ep7f9S9v4+m9ZaGrTY2dWOdIj/Cx+7K05VWKdO9WZ+fdFw7H2eDm+2lssqnx/v68I14+PRZMN6hPcs/yA6EP/xPx0XDomBvZ21FjtnZYp6JtboW5udfr3Lz2mpbPidg2wKTWcguODBw9izpw55tvp+84Fzkh0dLRYY52bm3vG2mz6makP9uOPPy7aclHlcFNQPhBareN/uNILyBm2k7ne/o1QeWJ6cohIPSvXNPe4nY+dk4aimiaxprqpVWfx//T380/PgDjq8+Cq+5cNHO9f18X7tvvjAimu7fmY4Oicdf9ml9eb26h1tf0+SmkGtfPPEoxrrPMqG80/85TL8OT8dFEUTWbo+hhMIcfQSH/RLqqmsRUhPcxWUmg5KyVUfBn0BnOKtyWCvKXHraxrFdsxJiYQmx+YIQLh/uyn7vYvbePomEBsz1djY1YlUoy93S0xJTEYP9w2CVUNbYgL9MZNkxJw3YR4bMiuFDPXpv+ZgvD3t+fj+onxohK7pWgS8ct9xaKo28yUUHPaeWqorwiwj5XWOcRrNs/YmosK4Nlre+z5/rVrgE2uvvpqvPTSSzj77LPFzPR7772HyspKXHLJJV3e/8Ybb8Tbb7+N6dOnY/jw4di0aRNWr15tTg+nNde7d+/GV199JYqhMeau/v1rNtZnV+LeWclYkCmlgNlKqMrU0qL3liyvX9axVgJjjDHXQtWhSQkF2Dq9xWtjmXWUGAuDmto3WYoCcnKy+nTmJgV/i0d0LCDclY+WjIWtmSqFV7drB0bp6L5WatHV3rlDw0WA/faWk6LP9quXjkCAMcDvDd2v/X2p6N/Z6R0n/L4/VIr/7SjExpwqfLRknMXF0Kgt2b9/yxHXN90/3Xx7WoTKXC3eEUxKDBbPGWVKuCO7B9jUoqugoEAUIaN0cUoNp97YphTxL7/8UgTPK1euhJ+fH2666SZRAO2GG24Qbyr6HZqxpr7Xhw8fxooVK6BSqbB48eIOf2fMmDF49dVX7fRfMjb4Gtp0IiWpzHigtQUaSf3lRCXSwv3w6Dn+opgHY4wx90btgyhgoFm6Yk2LuYcxGxwlxuJS0QF9W4tr2k9UWJTSpD0UcnGct7QgqSV+O1EBLw8FRscE9Gnmlgxmf+oFwyKwfF8xjpfXix7fG7KrcEEvAw1UXM7SgDI1zBdBPh7IqWzEJ7sKccsUac17b0xV06ltWfu13GNiA82p2Q2tWqg87RviBfl4YGpSx7bJ7sTuATa9aR955BE88MADaGxsPGPW+fzzz8fMmTNF0GxCbbluv/12aDQacX8Ksk0FzzZs2NBjQTXG3IWpLYLpw9gW6CD3+I9HRVrYhvum91i447Pdp7BifwkWDY8ULV1+y6rE/qJa3D8rpUOvzs7ofs//kiXS0P963lAb/SeMMcashYIMmsXOrmxAobrJYQNsV55dp1nTqB66enQXFMUEeiPQW4mGFh0Olqjx8c5CvLB4OIKMwW1vmtp08FbKuw3K/29djuiP/OGSsRge5d+vGeyqxjYR+L+x+STyqxtx9fhYjIuzbtYqDS4svXYs/rH6BH44XIadBTW9Bth//PYwCtRNeGRuKqb0ElzS9v5xTiqeXHlMzGRfMDyqx7XrnXtLd+77TR1caN/Rsox9RRpxztQbSvu/bdk+1LXoMD8jHJePiemy1zlzwgC7fQDcVRBMgXX74NpEqVQiJCTkjDXdnftgM+auwo09oymopQ/NxD6sIbIUnTwROpHqrSomrbumAw8dpNYer0BWhfS76eF+WDi8+xR2KrBS3dgm+mwzxhhzDhRU0zEit6oB01Mcbybr/37LxtcHSvD4uWlYNNy1zh1fvniEmE1tV1fUIhQUf3frJHMVaAr+Glp1+HzPKdw1I7nH36WA97pP9iKroh4rbp7YZaDW3KYzB4ixfQz+2weVlBlxorwBuwtrcKikTvTuttVAEc1kb86tFjPGvTlRXi8yB30srBJOQS2tp6Yq45/tLrKon7UpKzGyi0rhY+MCRYB9qNiyAPvjXadw0tgJhv7+57uLxHv1irExmJwY3O/0boPBINq9UcA/Z0jYgKumOyPXHLZjjGFIuDQwRcU0LvvfLjFbbG3ZldI6LTqQ7iqoEWuJulPbLK3PjvT3MgfXpu97YkoFC+s0WssYY8xxjYwJMKf0Ohqa9Vy2txhtOgNe3ZAnAjZXQ8FRT9lhvdlzqlYE1xQk3Ta19/RlsWxTRmnSEGnVXTG1+1J5KhDo0/c5PgpcaXvI8n1F5mDdNKFgC+Pjg7D6ril4eO6QHu9X29QmgmuSGmZZ6zF6zm6aLHU6+ulImUUF30y9pWONBenaM2UEUEq7Je6dmSTWzv9hdgqmJQeD/joNJty/4hAu/98uMcHRHxX1rXh7S77oBW7N5QXOxGFmsBlj1jU2NlDMINCscUyAF0ZEB9hsBtvfW4m7vjwgDprr7ztddKO9miYpwM6M9MOPh8vEdQ+FDBMSek7rMqW4d06HYowx5riuGBODJeNjHfIEO199unWVuqlNDEBTUSZ2Gs0Ok8mJQRan0VM7q6Nl9aLPdeeiXuRwSZ35PKC/r4s3LhspUtApnX3Gq1tsPgBv6Syu6XyIzrf6sracUskpJZ/OkfaeqsHEhJ5fhzRDLf2dMwPsSQlBuGdGknk9dm9oHwyL8hdf14yPE+eLNKP+w6FSMVjSfuCCWrDRuZ4lTlRIAywJIb4WF29zNRxgM+ai6IPz+cXDsCW3GuPiAnGoRIPRFn7oWirXeECZmBCEn4+Wi9FuSgHrKh2opkkrLiP9vcWILa05otT13pwyjnjT+iLGGGPOwdQ+yBGZjiuEAgBTUTBXsOOkGm9tOYlJiUG4u5e07q58susUvtpXjCJjIEftqixFhcu+O1iK3/PVAM7824eMM6vDBzDgb0o9z6lsgE5vEAP7lqxdHihKe6YB//AuUrNN29OX2ev2a+UvHBklltF5GdunWRJgdzWDTUsBb5ycgP6iSRlaF37n9ERRid40CELndRe//zsyI/1F+jilkfc08JBlXgLYt+fClXCAzZgLGxKmEiO75765zdzSwZprYUwf9DQabaoYW9XYithAny7Tp0iQjxJ3TU/CnLQwJAb7oqK+pdsDFh3QqMImSQm1/hpyxhhjtkWf45pmLQJ76I082EzHrsUjIvHns9McejCgr/KqG0WKcG/Lr7rTotWZg2uSFGJ50aupxnW/1Cqqq2N7tjHwonOGgTI9FgW0tm4FRQMyt32xH81aHVbeMaXLNdamoDKtH0HlfbN6X3tt8tg5achXN4rBjIH479Z88TiXjY7BmLiOgygqTyWGhJ0OEfcW1Yr3MLUto6+4IG8xQUKF2bqa1T5szFQYGjHw/eysXOcThTHWJUo9oi9yot3a54FqbNWhtllrnl0O9e25F7YpRZxOsmhUlH5nzutbcP47O0Q7kK7QaDH1fKRUJVsUaWOMMWY7W/KqseCdHXj65+MO9TTTLN2qOyaLGV5XCq47tujqX9ZX53Tr+D5UgKffHWmcnV59rKLbzAEaXB8IOjf4x5oT/Q5o+4qqsdN69voWHR5YcRClXWQ89HcGuz/1dSj9PqybiQnaNioku+9Uz3V3NuVWiX1EkyK9oXZb39w6EddOiIO/lxKnaprx8vpcnP/Odry1OU9kEphQcb29xpo/lD3prlzrU4UxdgYKZsfFS+ucdxZQ2pZ10MGGUtAfnpMq1hsF+0oHZXXjmQE2ffhS6hEdfGndFKGg31SApbtWYk1tekxNChYf0u66jocxxpyVh1wmClW2X/PsKMdFClBcsbYH9UHuLoXYEmGq04EbHbcDvPuWebBohFTR+8fDpSJ7wYSuv3LJCDxz/lAxAzoQVDyPUpVphvSikbavAE9p3E8vGCrWfu8t0mDJx3vQaiyMV1bXIq7TttAXdUbpDzpPKqptEunYA7HqaLlon7psb1G396EgOLeq0ZzpaAnKTHzgrBSsvGOyqLxPfbybtXp8sKNQVONvP9CgadbC10OBoZF9a8PmSjhFnDE3MCE+COtE32mN1R6TAt65aWHm702Bc03TmcEyBdJLrx13xgkO9eou1rSISpVdjbbTwf3VS0dabZsZY4wNHlPmUVFNk8hUot7Cg4Xqj1C6dFqYCgdKNLhgeKQYDKaexucODTfP1FKfYyrK9OzCzD7N1joimiGmAJCGrmelhvbrMcKMha0oiKV2W311bno4tp9U4/zMCFGVWtbumE9rrwey/tqEUsIprfo+DB6qJv7Z9eNx42d7RQA5/ZXN5p+9eflI/PmctAE9/hUf7hJFxt69crRot9WV7SerRSo61b3J6CZ4pQK3pirwNKjRVTG5yvpWsaRPIaPAuW+DHbTM8OJR0WJg45cTlWKyZFS7dPVjZVKBs2FRfmJgwl1xgM2YG0g0njSU9rPlgiWCjCnipmJmlqD1WSLANra2YIwx5joi/Dzh4yEX2UjUoikldPCKHv18rFwU3zR5d2u++ToNOL9+6UiRHn6krE4ELbQe1dkD7J+MHTqoh3F/12CbBh4oG43aRvU1SKI1uS8sHgZXRK+PGyfF49WNeeL7EdH+og/39pO9V//uTXSAlwiwC9VN4u9Q9kfnugW/HK/Ed4dKccuUhG4DbKoIThMg1Y1tYpa6q5T1U7VN5tR3SyvEd0aBOw1UdbZoeKQYjKBlhO6Mcy4ZcwOmCptUdMQa6IPz2TUn8P72fJFqRBYOi8Bfzk3DdGORk75sV1frmUhDq+XBOmOMMcdCJ+FpxpRZCkQG00ljCuwZ22QsmtlqrP1hWg+c1839nclvWZXicuFwKU27P4KNg+V0ZK/uZvlWf3y8sxDL9xaJJQPOjNpZXTk2BtdNiMPV42LFbd8dLLGoh3VPEoyvw3e35ePC/+7AHcv3d0ixJ1nGdd49rTunQaPx8dIs9qacqi7vc0otnXMNNFW/u/d8TKC3WCvuzngGmzE3YOplSAU6KDj29ey6kjitI6Kg1rSeuqciKt8eLBXFLm6Zkihuo9HbiQndj6pTMD43PRz3zkw+ozppVyc2dGBZ+M4OMRL74ZKx3KaLMcacEJ3sHyjWYE9hDRaPsP16WUIDvyerG80BNVVJfvCsFLEulGYHTfU/CK0l/eUEzGtSnRkVGFN5KrtNMbZE+4rcVGS0vy2waED/iz3FYgD9qQVDRWtOejxap+zMa9/ptfPw3CHiOp0veSpkouDr1Jc34a/z03FBP1/jpsrqtKabznv+dt7QDundYt20hYXUZqaEYmueGlvzqrts20Vrvdu3PBuI305U4HBpPeYNDcdQK1SHdxUcYDPmBmjdGbXGClV5iIrc3fnbquNYl12JL64fj6Qe2mKZUs2jAiw78BZrmlFY0wxNc8cCaKZ0QVon1xkdZERfba3+jKqmjDHGnAOli1JwtSO/RgQJtm6pRKiuBx07KBjafP/0HtNgU4zBCg0CdLdm1Vk8MT/dKo/z0ZKxIlV5IBWxaVnA0p2F4vruU7UiuKZj+QgrrMF2FCpPJaYkhWCjcaY4opvK3pag1qX/+iULbToDZqSEnNHiitLH6TVNwXd8L4ExvefIkbJ6aHX6M17/dG5F66/7u4ygvZ+OlIv/n84HsyrrRQXzi0dGY3a7Gj3uiFPEGXMTN09JwIUjo7vtg13fosUvJypEJUv6gOxJmTGlO6rdhzP9Po2W/nXlsTOqYJpSwkI7zYzTAeSc9LAOxdJMcoyzCVTobDAL4zDGGLMeKrpERZCoKJKp8vJAZVc29LiEyDRomxDk0+sa04wIPzHLTQHMsr3FVtk+Z0freOdnRgzoMejYTYXl2p8DLMiM6JA94AqomrmHQobZQ0IxIUEKbPs7EfL0ggzcMCkezyzIOGMg6oixOjy9Xnt7DhNDfODnpRCFzLrKzKAZ+C0PzsSS8XEYKEoHJyW1zfj1RKWYOc/rYtLE3fAMNmPMPHpvouu07qezEo00g92+8nd+dSMe+PqQuE6FOajPaPuKle2rk5pQqt6/Lui6GIo5FaqHmXTGGGOOjdaEvn/1mAE9RueZ5efWZolsrLeuGN1lsGFadtRTJlb7AOHWqQn477YCfPR7IS4dHQ2lE7SFpMFwClxNKdw04OClkPe7aJUt/PW8oWL/f72/BHPTw3DrVGlJmSuhgnIb759hlYrZVDSMvrIrGvDJrkIRdJvS0U0BNg1+9IaC85cuGiFe293NUtP7xhqDHaYAmwL5XYU15hR1d+c470LGmE0V1zaLPtg0St+Vackh4sTCtMa6J12liNOHPo1Oky/3FXf4O5XdzGD3xDSDbUrfY4wx5p7WZ1fhmqW78c2BEpEtday8XrSj2ldU2+X9T1RIA7RDwiwboL1pcgIuHBGFu2YkicDVGVBdk4Xv7hDtyMh72wow45XN+G+7aumO4M9nD8HG+6fjuQuGdVv/xdlZux0VDZaYUq87t78abkGATWgdvjVSwHsTaZw42ZJXLWbMYwK8RF0Dd8cBNmNugip43v3lQaw8IrXx6Kl/ommGurcU8fYf3jS78Mz5GaKKOJ2gvLPlpPlnpvSwzjPYhNYH7Tipxud7ijpUzLS0mAdjjDHHV9esFVWN1Y19ryL9e75atNKiWTKa1aM1qp0zr0wDyc/8fByzU0Pxv2vGWFxNm5Yh0fplKsLW3TIqR0Mz7uSFX7PMPbB1BiDA27GSU+ncwFmeU0dhyg6kWgKm6uRvXj4KH14zBlOSBtYOjJZp3P7FPjz2w5EzlvP1R+eCdTNTQ526joG1cIDNmJsIMvZTrGnqWGisvWhjqk9NY/f36S5F3OTuGUniktZzU/VQCpqrjCdUXRUro0PHg98cwkvrckRhM0KFcEwpfpwizhhjzu++FQfx0LeHsWJ/SZ9/97AxPZbWcre/PNgpwKa/8cPhMtFzm4ppxQb2vUoyHbO6ax3Zk6/3F+OeLw9gxf5iMctuS03tAiOVl1IE18fLpRnOOCfv5c2kyQiaFacBk0pje1VKtR8eHXBGb+zuUPD82sZcURenfVYGnY9R9seGnCpRMM3qATanhwuONczFGLNLgE2pZjQTcMmoaHxy7bhe+xcuu3GCCIaju6ginh7hJ4qX0cGevgK8PTAkTCXSxEO6SBGnmQNai00BNbVViQrwFmlGNJNA31ujjQRjjDH7GhMbKALld7bmi+wnS9sZ0YwbzV6TYVFSZWVTheX8dkuRKMg0LU2an9G/Al00A/6n74+IrKstj821+Pco0H/ul2wxYPx7QQ1e2ZCLhcMiccXYWCTboI7I0bLTPcVfWDwMN366V7SKIr1VmGaOj9ZQR/h5oljTIs616Lyor+jc6pNdp0Cx9f2zkhFmrHBuromj8rTKTHPn87pxxh7c7o5nsBlzEz0F2KbKj9S6gfoY9lb4gtZR0UlDd2lfpsC7vL5V3HfpteOw8o4pYgS2K7HGmXM6uSE+Hgo8cvYQvHH5KJerOMoYY+7osjHR5vWjL63P6TAL2xMKmilNlqoixxgDDVP9Dwo+TEuLdhZIBZbGxAb0u3dzuJ+nSGGnAeHv91leUfxoWb35WJUc4itaVH21vwRXfLhLzCBa2+GSOnNrJwqUTME1oTWwzPmFqqT9WNXYhq/2FeOfa09gt7GImCXo9WiaXa4wLtNrf91a7U/pHO8Ps1NEsTPqCMNdXyQcYDPmJoJ8uw6wKRWOZgfo1GBaUoh5XfT3B0txqKRj+p2lLhsdg2fOH4qpFq4VMgXYRcYAmzHGmGuhbKQPrhkjPu/rW3RYc6zcot/LVxsrgof4mmfcqN8wXaNsJ7XxmGYKsCcOoFUSBQfnD5PWbe8xPp6lrZp+vWcaVt05BctuHI83Lx+Js1JDRaXzuKDTs4+Uqqtp7nkJliVMy6lGRPmLgW6qPE1um5rgUFXEWf+FqqRzNsqm2JxbjW8OlIpuLX1hCqLL61q76OpivYGYa8bH4btbJ+H5xV13hXFHnCLOmNvNYHdcG0a9q8nImAARhNOBe9G7O8RtdHLw2qUjMSnxdKC8q6AGPx8rx7i4QPOJSGeT2wXWtJ66cz/H7to8mGawKdUv2NcDKk/+iGKMMVdBxwLqVvHqxjz8Y02WWCPdW+/g/Gop7Tux3dpiCoSp84W3hxxtOoOYxaZjExlIL2JiCoiLarruuNHTTJ6pSvbEhGDxRcc033aZXhQoPfHTUSwYFiHSx2n5VH9Q66Y7pyeJ4yt59JwhIsielcrtkVyFafaZ1vPnVjVY3HauPRqIouyKyobThWurjNetNYPNusbDXIy5YYp4+2rddMAnpqqsPh6nPxZo7c572zq2/DhYosF3B0tFVVdLPPHTMVz8/u9Yl1XZ7X1MhWhMM9i0Bm72a1ux/aS0bYwxxlwDrb1WeSpECqvcgrNQKvZEa7YTQzoGF/+5ZIRo/UQ/y6lsFDPZ3ko5RkZLBdD6y7TetbiPAXZ3g8em7DHTgHazVi9mI6/+aDfuXL4fv2VVmitF9wVVU6caJ4QuKV2cl1S5jvtnpWDbgzNw0cgoc2HZtDCp9oClTJ1bKoyz1u2vc4BtWzw9xJibCPbxEBW+qQIlVaZUyjpWZ50QH2Q+UP/l3DQcKasTJwEHSupEkRnT+ulS4wd9T0U3aMSV+pPS2jnq40hpfD1Vq2yfIk4nGlTcjFDxM8YYY6412PvJdeNEptK4uN5nm6+fFC++2g8Md0ZVw2lweHRs4IDXgJq6YxSpm3r8myb/21Eg6phQmjgV5+wJzTTPywjH8r3F2JBdid2FteIryt9LzOxfOzHe6j2VmXMyZUOYztGSQnzg38cWbFRToH1aOKHzMRqI4QDbtjjAZsxNUIB80+SEDrfR2p7qxjaxlq195fCLRkXjQkOUOGnQNGtFhW8qfkZK66RZ5q4qiJu06vT4wzeHO9w2Ojagx5Q8WrNNBWxOqZtEyh/NRHTVBowxxpjzr8fua4eIrioeUwDcqjOI2dsZKdN6bENpKZoRJ1SEjR7Pv5elSieMHTOoz7cl/8P4+CDxRfVPvj5QIgayS+taxPH2hknxvT4GrV2nVmdUUOrKcbF9+M+YM/ra2NaOWnT1VbixUFpFuxTxZxdl4h8Gg8hQZLbDATZjbqyuRSvWUlNATJW7O58IpIersOdULU7VNpkD7JJa4wy2v3ePbRsmJQSJdiVkZLR/j+upqUjLgkxpPffKI2XiMi1c1evabcYYY86LevyaUqSpUFJfLNtThP9syMV5mRH423lDxcx1uBUKN1G21fzMCEQH+8KCCWxza7C+ZlxRFtjdM5Jxy5RErD1eLmb2TYMIlDX2y4mKLuuc0HIrOi6beoEz10UDN5uMy/jOy5AK2fXF3PQwURMntN0yBUKvMwWfXtkUB9iMuRGqQElFzKjFFp2IUFXWd64c3e396aSFDvqmdlxUUKVYI81gx7arjNqVR+YOwfs7CsSJwk2Tex+VN1Uvp1F8U89Uxhhjrov6WP/7txxR0OnqcbFnzFJTy6zrPtkrZpX/e9XoDoOuPp4KEZhX1J+enbOW5xYPQ3CwCmp1A7Rafbf3oxn0UzXSMTGhn/2nKaBfNPx0anmbTo83NueJWeqzhoR2GJym4+kWY2HS2Wlh/fp7zHlQpuD4+EAxaTG5XbHZvqzTpy82+PhZZ8yNvLguB9tOqvG389I7HNC703mdNaWUi/U7MprB7nmmgKpd/v38jD5t3/J9xWLNNhkXzwE2Y4y5shHRAaJbBR1bqN9v53Wh1F6IBoUp6Oyc0WS67478Glz6wU7cPjVRzDwPJtrmxjad+B96G3S2FK3BpuKjdKyl46Epu4scKtWIHttUUyXTmFXGXBfVxHn7iu4nQfqKBqTu/eqAeNynFww9I3ORWQ9XEWfMjVCBM/L0zydw7pvbLK4EbmKqZBkZ4G31Xpu03u3bg6XixIGKvUzpx2gtY4wx5+HVrtZGVz1+y42z06Z10V21MTKlaVu7gnZtUxsKjenf3TG1lqR2SAMtrmZCs/jTk6WuHsfK6jv8bHdBrbikNdy8hIpZ4q0tJ/HkymNiOQb1YKeieuuzKuHJ/dJtimewGXMjccZq3YSKt9zz1UE8MjdV9OPszpub87CnsBb3zUoWFVo33j8d1Y2nK1JaC42kLr9xgtUflzHGmOOipUrUQYICbAocuwqwKYDtjIpi0mwvzcr5eykH3P+6vS25Vbj3y4NIj1Dh0+vGd3u/8rruBwAGIsG4ntu0vttkV6Gp1zdneDHLrD1WjsKaZtHuK9RXGpSiauTc0s22eAabMTdCRWTap5XNzwgXBWJ6klXRgP3FGuRUNZoDYVPfasYYY2wgEkOk4wn1su4ugDW1G2qPgoS3rxiFK8fG4N0rR4t6IdZiqnBeUN0kao90h7LWE4N9zAGxtZgKprWfQaeU8UMlGnG980AEY92JNb6WaRCrtlmqsh/Qx3ZfrO/4GWbMjdAJyUdLxkKnN4h1XJb0VDSdaFD7LMYYY8yaxsYG4rPdRaIGR0qYLy4dHWP+WZmxf29ENzPElFVFX9YWEyjNjjdr9SLI71yPxOTs9HDxZW2mgJ2CIpqhp22pb9FiVmoYsivrRVDPmCVijZmLRTVN5kGoQG/rDUaxrnGAzZibofVdSoUM/hauvzGlldOB/v9+yxYtvWgmnNL6GGOMsYGYkRoqAtqLR0bhwhFRg5KC3RtaT50Q4ovcygbkVzd1G2DbCv2/lMJLwTUVgKPvac35vy7IFJXLu+oJzliPAXZts3nCJNCHwz9b4xRxxliPTIVkqF3K2uMV+OZAKZrbdPysMcYYGzCanX3jspEYEq6CXC4TASRlWZmOPzEBXoMeYJPMaKnP9EFjWvZgogJm56SHYdHwSHQOpTm4Zn1Bg1ekuLYFtc1acZ2qiDPb4iEMxliPgn2lD+KsygbUt+jEwd40CsoYY4wNFB1T6OupVcewPrsK/1yUiWnJIX1u9WhNU1JC8NPBEuwurMGtUxO7vM91H+8BDQX8Y2GG1bO6/rEw03yd2nVRT+S0cG7NxfrGVCCQ+sVTH3XKjAjkNdg2xwE2Y6xHpjU7FFyTjEg/+HnxRwdjjDHratUZ0NCqE8U1KcC2pykpoeLyYEmdeR10ezTLTgPPdGnLfsKUIv7n74+Ibbh/VjKumxhvs7/FXI+pQCB1f7lxcjxumhxvzhBhtsNnyYyxXgNsGvE0fSBz9VLGGGO2kBauEkuRcqsa7L7WODXcD5ePjcGQMJU4/nUOsGnZFN1ON7fvyW1NtBzry33FIrhOCvHBVeO6b6nJWFfC/bzw4+2TxWvU1Dud6vAw2+IAmzHWoxBfD6y/dxrOe3u7mFmYPUQa1WeMMcZsUT2b2lMt31uMj3YW4oIRUbhretKgP9G0HvzxeenQavVd/txU4TxM5XlG8G0NH2wvwFtbTpq/p+rqVHyNsb6gCRJ71DBwdxxgM8Z6RDMIW/KqRXBNa8BGxUiFXxhjjDFrijf1n1Y3ia+K+lZodY6ZzlpmrHDeXQuxgercW/vcodZvB8bcyz9WnxC9sO+YniQyM5jt8FAYY6xXlAZHrR7mZURwBVPGGGM2YSqgSdWOD5XWiev27PlMRaEOl2hEkbHO9hfVistEG7WsPDs9DP934TDEBXnjmvGxNktDZ67v93w1Hv3hCL47VCqKCLZ0k5XBrIdnsBljvaLAmkbPqQANY4wxZgu+ngqRcl3Z0IojxgC780zuYDpZ3YgbP9sHPy8FfrtnmnmAWdPchs92F4nrs1JsU4yN/tZZQ8LEF2MDUVzbjF9PVJq/p/cYsy2ewWaMWXyw91LyRwZjjDHbGR8fKL5MEkLsF2BT6y1aw0pdNIpqm823Ux/hP8xOEcumptq52jljvZmcFNzhe16TbXt8tswYY4wxxhwC9X++ZUqCuE5p0cHGVpH24KmUm+uOXPfJHvxvR4GYXSdU0fvLmybatEUXY9YQHeCNzEiph/rCYRH8pA4CDrAZY4wxxpjD2JxbLS4nJwbZve7HrFSpcwbNYr+5+SRKNdJMNrU84qwu5ixeuWQE7piWiPvPSrH3prgFDrAZY4wxxpjDuHxMjJi5nu0A649pxo/WYJOUUF8Mj/K39yYx1mfBvp64dWoiQnx5/fVg4CJnjDHGGGPMoaqJf3zdOET4eTpEYPLvxcOxPrsSN0yKt/uMOmPM8XGAzRhjjDHGHIojFWKakBAkvhhjzGkC7ObmZqxevRplZWUYOXIkpk6d2uP9dTod1q1bh9zcXMTFxWHevHlQKpX9fjzGGGOMMcYYY8zp12BXV1fjwgsvxBdffCEC4oceegh//etfu71/Y2MjlixZghdffBFqtRqvv/66+L61tbVfj8cYY4wxxhhjjLnEDPYbb7yBkJAQfPLJJ1AoFLj66qtx0UUXiSB5/PjxZ9z/7bffRkVFBb799lv4+/vj7rvvxjnnnIOvv/4aV111VZ8fjzHGGGOMMcYYc4kZbErlXrRokQiGyZAhQzB27Fj8/PPPXd6fAukbbrhBBNeELp944glERET06/EYY4wxxhhjjDGnn8GmdG6ajU5J6diTLSkpCSdOnDjj/pTyTfenmejdu3dj7969iImJwfz58+Hp6dnnx2OMMcYYY4wxxlwiwNZoNOLSz8+vw+30veln7VHwTP73v/+hqKgIo0ePxjfffIN33nkHn376aZ8fz1JKpd0n+rulUMg7XDLXwvvXtfH+dW28f10X71vXxvvXtfH+dW0KB4iN7BpgGwwGcdm5pyDd3lWfQa1WKy7r6+vx2Wefifv84Q9/wAUXXCDWXl9xxRV9ejxLyOUyBAer4OgCAnzsvQnMhnj/ujbev66N96/r4n3r2nj/ujbev64twI6xkV0D7MDAQHPA3F5DQwMCAgLOuL9pZnrx4sXmgNnLywtnn302du3ahdtuu61Pj2cJvd4AjaYRjopGZ+gFpNE0QafT23tzmJXx/nVtvH9dG+9f18X71rXx/nVtvH9dm8JGsRE9pqWz4nYNsKnad2hoKPLz8zFlyhTz7Xl5eRg2bNgZ909ISBBrrU0tuUza2tr69XiWzmA7wwiXSuVl701gNsT717Xx/nVtvH9dF+9b18b717Xx/nVtKivHRhQTOk2brnPPPVe03Lrkkkvg4eGB7Oxs7Nu3Dw8++OAZ96XgmlpyffXVVyItnCqF0+z0L7/8gksvvbTPj2cJmilXKPqXXj6YeA22a+P969p4/7o23r+ui/eta+P969p4/7o2hR3XYMsMpoXQdkKFy6688kqEhYVh5MiRWLVqFebNm4ennnpK/JyC402bNuH2228X6eBUSdzUpmvChAlYv369SB3/6KOP4Ovr2+vjMcYYY4wxxhhjLhlgm9ZMU59qtVqNESNGYOrUqeafdQ6wSUtLC9auXSsqiVMLrrlz54rZaksejzHGGGOMMcYYc9kAmzHGGGOMMcYYc3bcPJkxxhhjjDHGGLMCDrAZY4wxxhhjjDEr4ACbMcYYY4wxxhizAg6wGWOMMcYYY4wxK+AAmzHGGGOMMcYYswIOsBljjDHGGGOMMSvgAJsxxhhjjDHGGLMCDrAZY4wxxhhjjDEr4ACbMcYYY4wxxhizAg6wGWOMMcYYY4wxK+AAmzHGGGOMMcYYswIOsBljjDHGGGOMMSvgAJsxxhhjjDHGGLMCDrAZY4wxxhhjjDEr4ACbMcYYY4wxxhizAg6wGWOMMcYYY4wxK+AAmzHGGGOMMcYYswIOsBljjDHGGGOMMSvgAJsxxhhjjDHGGLMCDrAZY4wxxhhjjDErUFrjQVyZwWCAXm+AI5PLZQ6/jaz/eP+6Nt6/ro33r+vifevaeP+6Nt6/rk1ug9iIHlMmk1l0Xw6we0E7p7q6AY5KqZQjOFgFjaYRWq3e3pvDrIz3r2vj/evaeP+6Lt63ro33r2vj/evalDaKjUJCVFAoLAuwOUWcMcYYY4wxxhizAg6wGWOMMcYYY4wxK+AAmzHGGGOMMcYYswIOsBljjDHGGGOMMSvgAJsxxhhjjDHGGLMCriLOGGOMMcYYYy5Er9dDp9PC3ej1MjQ3K9Da2gKdzrJWXQqFEnK59eadnTbA1mg0qK6uRkxMDDw9PTv87MSJE9DpdB1ui4yMREhIyCBvJWOMMcYYY4wNDoPBAI2mGk1N9W77lFdWysUAQ1/4+PghICDE4l7XLhVgV1VV4c9//jN2796NsLAwVFRU4LbbbsM999wjft7c3IwLL7wQycnJ8PDwMP/eLbfcgsWLF9txyxljjDHGGGPMdkzBtZ9fMDw9vawSMDobhUJm8ew1DUjQbHd9vVp8HxgY6n4B9pNPPonW1lZs2rQJfn5+OHDgAK699lokJSVh4cKFyM7OFk/Ul19+CZVKZe/NZcwptLY0waCXsj4UHl5QKk8PTjHGGGOMMcen1+vMwbWfXwDclVIph1Zr+Qw2DUQQCrL9/YMHnC7uVEXOtFqtmLG+4447RHBNRo0ahbPOOgu//vqr+D4rKwvR0dEcXDPWBznrP0DcBxniy+/tYTj26/v8/DHGGGOMORHTEllTwMgsZ3rOrLFu3almsJVKpZiZ7mo9tml9Na2/TklJQUtLC0pKShAVFQVvb287bC1jjit371oYDn4O/zl/Rl1ZDqZnPQcYM4j8ZU2YfPTvyB02B6HRKfbeVMYYY4wx1gfumBbuSM+ZUwXYXTly5Ah27NiBV155xTyDnZOTg/nz54uAvLS0FEuWLMGf/vQnKBSKfqcZOCqFQt7hkrkWW+xfg16P8O1PIUWfj23rPZBx039RPvo4oDeI1CLN0kuQqT2G6t/+jcgb3rHa32Vn4veva+P967p437o23r+uzZX3L1XQdncy2elLg2XLsM9Yvz3Q2M+pA2yqIv6HP/wBCxYsEAE1oSCaUsb/8pe/iOritEb7hhtuQGhoKG6//fY+/w25XIbgYMdfyx0Q4GPvTWBOsn+PbFuFYfp8NBs8MOzGVxBIr+92r/Has58CVl+FieqVaNTXIzA0st9/a/eLF0PrGYCExY8jOnGolf4D18PvX9fG+9d18b51bbx/XZsr7l9qT0UVtK0RJDq7P/zhXqSnD8W99z5g8eAErb0ODPQdcPaz0wbYNTU1ojJ4YmIinn/+efPt77zTccaN1mhfdNFF+PHHH/sVYOv1VOq+EY6KRt/oA0KjaYJO17dy9MzxWXv/6rRa+K/5g7i+L/AcDJX5Qq1u6HCf6IxZKFgTgxCDGrmH9yJp5Mx+/a0T277F5LrfxPWj6ntRV3cA/sGR8PaV6icwfv+6Ov58dl28b10b71/X5sr7l6phS/2vDX0q8uVKZDJpHzc3N6GlpdXi54GeM3ruamsb0dTUsd0zodeMpVkPThlgU6uum266CampqXjhhRfM7bioujilh1PQ7evra75/cHAw6uv73wvOGV6g9AHhDNvJ7Lt/s3f+hKmGEtRChajFz3X7mC2XrUB9SDTilMp+/13fvW+Lyy1BFyLgp4eQ2XYAW8e9irSplwzof3BF/P51bbx/XRfvW9fG+9e1ueL+tbQ1lSszGJ+C/qSHE2sMTjhd7kBZWZlYUz1u3Di8+OKLHXpdk6uuugorVqzocNvWrVsxZsyYQd5Sxhyj/daxdR+Zv/fZ9564PBQ0D6oe+vwFRcRDoez/+Ft9bSUyWw9JjzXrftT7xInrusId/X5MxhhjjDHmHqqrq/D888/ihhuuxvnnn43LL1+MF198XkyomqxYsQw33HAVFi06B7fddj3Wrfulw2NoNLV4/vl/4NJLF+Gyyy7ABx+8Oyjb7lQz2G1tbbj11lvh5eWFK6+8EsePHzf/jGasaeaafv7qq6+K7+Pj40WwTb2xn3vuObtuO2P2kPPL25ia9x8ciEqHrrkOk1p3o82gQNCsey0uiKbT6/rcF7v06BYky/TIl8UiIn4oqmMmAZqVCFPv6ed/whhjjDHG+qup7cy0ZxO5TAavdmu2e7ov1RDz9lD067598de/PgZfXxX++c9/Q6Xyw65dO/D3v/8VKSmpuPjiy/Dxx//D559/gsceexKZmcOxb98e8fPQ0DAxEUvWrFmFBx98BLfffjd2796Jp59+AqmpaTjrrDmwJacKsI8ePWpu/P3oo492+NmIESPw7LPP4t577xWB9sqVK0URtLS0NHz11VdISkqy01YzZj+J+V/AQ6ZDw8mdGDr/HmzIvxMyXQsy43svOHb0+39haOHnyEq9HZnnWRaQm7SVHxGXZT5pSAYQkj4TOAaktp1ARUsTPL1cr7AIY4wxxpijmvXqlm5/Nj05BP+5ZIT5+3lvbkNzN2nS4+IC8c6Vo83fL/7v76hpauvyvpmRflh6rRTs9tW///2KKFht6gJ1zjnz8cknH6G8vEyslV627DNce+0NmDlztvnnM2eeBYXidHg7efJUXHrpFR1+//Dhgxxgdy5Y9t133/Xaw2zx4sXiizF3VnryMEYaitBqUCBhxrWQyxUYdtETFv++QSZHJKrRkPcZ2lpvRcH+X6Bt1mDozGt6/V1P9Qlx2Rw4RFyGx6aJdd+BsgaU5x9GXPqEAfxnjDHGGGPMlfn4+ODw4UPYt283Tp0qRG5uDvLyckTQXFVViZoatZi5bs/Lq2P179hYaYmiiZ+fH1pamm2+7U41g80Ys5z6+AZxedxzOKL8Q/r81MVNvx61BR8gRV8A7bvpiJHpsSnieot+tyV0OPa3VsEjfrz4XiaXo0iZiEDtEdQXHQY4wGaMMcYYGzQb75/eY4p4e2vuntrtfTt32v7+tkkW37cvaO30L7+sEbPSaWlDMW/eAvznP/8WPzNlNNOtUFidAADpZklEQVTkUU+6+rmhv9XP+oADbMZclLw6S1zWBGQgqh+/HxASjQPDHsfMI3+BUialCen9osS6bAqYezJs0cMA6Ou0GtUQoPYIUHG0H1vDGGOMMcb6y6cPa6FtdV9LVVSU44cfvsU//vE8Zs8+W9ym1WrFzDUFyLTOmmajc3OzMXq04xWydroq4owxy/jV54pLQ0hav5+y9LOuxQEP6YNrj9dkDFtwv7hecGQrqsvy+/ZgQ87FprCr4JE8o9/bwxhjjDHGXJuHh7T2Ojs7S6y3VqvV+Ne/nkZNTY3o9U2uuOIaUejsxIlj4vu8vFxceeVFWLXqRztvPc9gM+ayolqlANgnKqPfj0GpNeE3f4PfD21AzNAp4rbsz+7FtNrvsTHyBoRc9uwZv5Oz80eEp05EQEhkh9vTplwM0BdjjDHGGGPdCAoKwqOPPom3334dn3zyIUJCQnHOOfOwcOFiHDsmZUJef/3NaGpqwv3334Xm5iZxn0suuRznnbcQ9iYzDEYiupM3oa+uboCjUirlCA5WQa1uGHBTdOY6+5fSuI99/yy8arIQcfFL8AsMs9o2Hd/4KWYc/DPKEArDHbs79MtuqFMj5qMxUECPrEs3IDQ6xWp/1xXx+9e18f51XbxvXRvvX9fmyvu3ra0VVVUlCA2NFrPArkCn05kriVOaOLVtpgJo7dHtynbno7SPGxoaxUSRh8fpVrNU4KzzbZY+dyEhKigUliV/c4o4Yy6I1khnXvQkUm5catXgmiRPvgQ18EMkqpC7+6cOPzu1dyU8ZTqcksd0GVzXVhXj5P7f0FBXbdVtYowxxhhjrkdhDK4JBdGdg2vT7Z1RRfHOgXRXt9kCB9iMsT6hHtaHg84R16ftugdHv/uX+WdeOVLAXRA6q8vfVS67BBM3X4/SY1v5WWeMMcYYYy6HA2zGXNCpEztRln9UpIrbgjJzkfl6YPk2campLsPoBilw9ht7RZe/V+UVLy5bKnJssl2MMcYYY4zZEwfYjLkgj/V/xYgfz8Wx396zyeMnjJiDIkRCDX/4XfpfcVvx2v+Dp0yLE4ohiEuf2OXvNfoliktFjVThnDHGGGOMMVfCATZjLkarbUNy6wlxPTB5kk3+htLTC7ob16H2+i2iWnhF0QkMqfxF/Kxi1H3d/p4hKFlczlCvwIlNn9tk2xhjjDHGGLMXDrAZczHFx3dAJWtBncEHUckjbfZ3fFQBUPmHiOvVObsQYKjDdv/5Ujuu7n4nerj5+tT9fxKBOWOMMcYYY66CA2zGXEzjkZXi8phqomhFMBgUnirsHf5XJF/7rqhg3p3EEbOwMfVRcV0uM6By+8eDsn2MMcYYY4wNhjNrmjPGnBYVNUuqWCuuNyeeO2h/d8iUCy1vH3bevTiUfzbaWuqRHJdh821jjDHGGGNssHCAzZgLyT+0ARMNJWgweCFx8qVwVJGJmfbeBMYYY4wxxqyOU8QZcyHNx6XZ60N+08UaaWfQ0txo701gjDHGGGPMKngGmzEXEn/eI9h2eDI8/UPh6I6ufhMxuZ9jiD4Pm8KvRcYVz9l7kxhjjDHGGBsQnsFmzIWo/IPFeuiE4TPg6OTVJ0RwTWZWfILirD323iTGGGOMMcYGhANsxphdpF/5ErZPege58gTxffyaJTj13iWoLM7hPcIYY4wxxpwSB9iMuYjsj2/HseWPoqa8EM6AKoqnTlwI9Vn/J4qyhaAOY1t+R/W6F+29aYwxxhhjzI4MBgM+++xjXHXVJTj33Fm44YarsGbNKvGzdet+wdy501BVVdnhd6666mIsX/5Zr79va7wGmzEXUFNZhEm1q6CQGXCo6QY4k4Rh01AUtg4Va59Hes1GaEO4dRdjjDHGmFW19VBUViYHlN4W3lcGKH36d98++PDD97BixTI8+eTfkZk5DPv27cVTT/0F4eERmDZtJjw9PbFmzc+4+uprxf0PHTqAkpJinH32vF5/f+zY8bAlDrAZcwGlB39BmsyALHmKU7bACo5IQNDVr8EAYJicE2sYY4wxxqwp/N30bn/WkjgXmkVLzd+HfTAaMm1Tl/dtjZmC2ou/Mn8funQK5M3VXd63LWI0ai7/qc/bqtfr8dVXX+C6627C5MlTxW2zZs3G2rUbIZfLIZPJMHv22fj555/MAfbatT9jwoTJCA0N6/X3bY3PZBlzAYpTW8RlacgkOCtKGacvxhhjjDHmviorK1BbW4uhQztOGikUChFck/POW4icnCxkZZ2ATqfDunW/Yv788y3+fVviGWzGXECiZre4VCbOhLNrbqxDwb41SJtyMQfcjDHGGGNWUHH7iZ5TxNupvHl/D/ftGKBWXb/d4vtaSqmUQtSeZptHjx6L6OgYsa560qTJaG5uFrPURKHo/fdtiQNsxpwcVd3ORBm0BjliRpwFZ6bTaqH63yRMRx32hiUgLn2ivTeJMcYYY8z5efja/74WCgkJhZ+fP7KzT4hAuis0Ez1v3gKRGl5dXYnZs+fC21taRx4a2vvv2xLnYzLm5CoOrRGX2co0+PoFwZkplEoUeSSL6/WFPYyeMsYYY4wxl3XNNdfh448/FMXLtFotjh8/hosvPh+rVv1ovg+liRcXF+GXX9aY08P78vu2wjPYjDmJ7KW3YoRmA/bGLEHmJU+ZbzdoW1GJQJRHzkIonJ9GlQrUHAAqj9l7UxhjjDHGmB0sWXIDWlpa8Pjjj6C2tkakg1999XVYsGCR+T7x8QkYNmyEWHPduTK4Jb9vKxxgM+YE6jXVmFr3MyADZpW8h82fqZF6xf9BIVdg2PkPQKe/FyktXVd7dDa60KFADeCvybb3pjDGGGOMMTtQKBS47ba7xFdPAgMDMXHi5DPWW1v6+7bAKeKMOYGSo1s7fD9DvQLR7ySjOGev+F4uV8DLxw+uwDt6mLiMaC2w96YwxhhjjDEH1NLSgv3792Hfvj246KJL4Uh4BpsxZyCT4YhyGGp9k9AaNgJTcl6Gl6wNrigoeoi4jDRUoLy1BUpPL3tvEmOMMcYYcyC33HKdSA3/4x8fRXh4BBwJB9iMOYG0SQuhHbcA4cbvyxtvQltrMyKdvKhZV4LC4tBs8IC3rA3VpXmISMiw9yYxxhhjjDEH8skny+GoOMBmzAl5+/qLL1ckk8vxe/xtMHj6Ic4v2N6bwxhjjDHGmGsH2Pn5+Vi9ejWqq6uRnJyMxYsXw8fHx/xzuv2bb75BWVkZRowYgUWLFtmt0ThjA6Vta0VzQx2UXiq3eTIzL3zc3pvAGGOMMcZYnzld1Llu3ToRUJ86dQrh4eEikL7wwgtRW1srfl5SUiJ+vnfvXgQHB+OVV17B/fffb+/NZqzfcvZvRuR/M1Dxzjx+FhljjDHGWI8MBgM/Q3Z8zpwuwP7Xv/6FW265Bc8884y4XLp0qbj9gw8+EJevvvoqhg4ditdffx133XUXPv74Y2zcuBFbtmyx85Yz1j81eXshlxnQJvd2m6ewsb4GJw+sR+7etfbeFMYYY4wxp0CtqUhra4u9N8XpmJ4zhULpXiniWq0WN998M2bOnGm+zdPTU6SBHz9+XHz/22+/4Y9//KP55zExMRg/fjzWrl2L6dOn22W7GRuQskPiQhOQjhg3eSqLDq3DtN33IUeeDIw9196bwxhjjDHm8Khtq4+PH+rr1eJ7T08vyGQyuBu9XgadzmDxzDUF1/Sc0XNnjWXFThVgK5VKXHXVVR1u0+l0OHDgAObMmYOqqirU1NQgMTGxw33i4+ORk5MzyFvLmHWo6nKlK2HuU03bP1Jq1RWlK0GDXi8KnzHGGGOMsZ4FBISIS1OQ7Y7kcjn0en2ffoeCa9Nz51YBdlc+/PBDEVhff/310Gg04jaVqmMxKPq+vr6+339DqXTck3uFQt7hkrkW2q8BbRXiundogkO/Fq0pPH4I9AYZVLJmlNdVICg0Gq6I37+ujfev6+J969p4/7o2d9i/oaHh0OtDoNXqaI4W7kShkMPPzxv19c3Q6SwJsmVQKhVi9t9anDrAprTvl19+GS+99JKYpT558mS3U//9ne6Xy2UIDnb86s0BAaerqDPXItNV03sfkYmpTvFatA4VymQhiEQVWmsKEDxEmtF2Vfz+dW28f10X71vXxvvXtfH+dW3e3varXeS0AfYvv/yCP/3pT3jhhRcwb55UXZmqhpO6uroO96Xvg4KC+vV39HoDNJpGOPQMZ4APNJomC0dpmDNpbapDpKxJXJd7h0GtboC7qPSIRmRbFSpPHkVE6mS4In7/ujbev66L961r4/3r2nj/ujaFjWIjekxLsx6cMsD+8ccf8dRTT4mK4e0LngUGBiIyMhK5ubmYOnWq+XZafz1u3Lh+/z2t1vEDV3oBOcN2sr5pbm7CroBzoGypQYyXv1vtY413HNB2CLrqPJf/v/n969p4/7ou3reujfeva+P969p0doyNnG7xwXfffYcnn3wS7777bofg2mThwoX48ssv0dgozTrv27cP+/fvx6JFi+ywtYwNTEBwBCY8tAKJd37vdoW+2vzjxaVnXYG9N4UxxhhjjDHXm8EuLS3FE088IVpvffvtt+LLJDk5GTfddJPofb1t2zZcfPHFoh829b++5557MGzYMLtuO2Osb/wy52OjVyB8E8bzU8cYY4wxxpyCUwXY1JLr8ccf7/JnERER4jIgIEDMYG/duhVqtRr33Xcf0tLSBnlLGbOO5oY6tKmc6m1qNfEZUwD6YowxxhhjzEk41Zl7bGwsrr766l7v5+HhgbPOOmtQtokxW8r59m+IrFiGQ1HXI+OyZ/nJZowxxhhjzIG516JOxpyMZ3M55DID4BUAd1R4bDuOrfsfaquK7b0pjDHGGGOMudYMNmPuxrelUlzKA6LhjgLWPYJx+jxs9QlCYOjF9t4cxhhjjDHGesQz2Iw5sABtlbj0CnLPALvGK1ZctlXl2XtTGGOMMcYY6xUH2Iw5sBB9tbj0DZYCTXfTpJJadSk03KqLMcYYY4w5Pg6wGXNQTQ0a+MmaxPXA8Di4I0Nggrj0bSi096YwxhhjjDHWKw6wGXNQmsoicdlg8IavfxDckWdoirgMaZWeC8YYY4wxxhwZFzljzEHJ5HL87nc2ZAoFhsA9+UemissIfQXq9XrxnDDGGGOMMeaoOMBmzEFFxA+F8paPERysglrdAHcUFJkIvUEGX1kLiqpLEBTmnmvRGWOMMcaYc+AAmzHmsDy9fLB56BNQ+kcgQRVo781hjDHGGGOsRxxgM+ag6moq4BdAQaUK7izz3DvsvQmMMcYYY4xZhBc0Muagqlfci9A3U7Hz61fsvSmMMcYYY4wxC/AMNmMOKqi1GAqZAR6BkXBnZflHoc79HV7BsUgec469N4cxxhhjjLFu8Qw2Yw4qQlcmLoNi3LWGuKR637eYeeQvMOz7xN6bwhhjjDHGmH1msK+88kqcOnWqX7+7bNkyxMXFWX2bGHMWDbVVCJc1iusR8WloaYPbkvmFi0vvtip7bwpjjDHGGGP2CbCrq6sxZcoUqFR9K9D0008/QafT2WqzGHMKmippcEpjUCHALxAtbtqmi1AFceKnVdt7UxhjjDHGGLPfGuz7778fiYmJffqdbdu22Wx7GHMWzXXSbG2tPAABcG/eQdHiMlCvhsHeG8MYY4wxxpg91mA/9NBDCA0NHbTfY8yVtNVVist6Bfd+9guKEs9FsEEDnVZr5z3DGGOMMcaYHWawFyxY0OPP9Xo91Go1QkJCIJPJLP49xtyBV1A0dqjOQWtA3zJAXJFfSBT0BpmoqF5XU4agsFh7bxJjjDHGGGP2qyLe1taG559/HmVlUlXkoqIizJ8/H9OmTcPixYtRWFg4GJvBmNNIHDETKTd+iBFX/B3uTqn0QI3MT1xvUJfae3MYY4wxxhizb4D90Ucf4auvvjLPVL/++uvQaDT44x//CH9/fzz11FODsRmMMSd1ZOST2DL2FQRFJdt7UxhjjDHGGLNPkTOTDRs24Omnn0ZERIRIDf/tt99w00034fbbb8dVV12FmTNnoqGhoc8VxxlzVQ111fDw9IFSye8JMnTWNfbeJYwxxhhjjDnGDHZlZSXS09PF9YMHD6KmpgZz584V3wcEBCA4OBi1tbWDsSmMOQX1slsR+14aDq9+x96bwhhjjDHGGHOkAJuqgtO6a/Lzzz8jPDzcHHDT+mwKuAMDuVoyYyaBbdJaY4/AGH5SAJSePIxj6z5C3v7f+PlgjDHGGGPunSI+a9YskSI+e/ZsLF++HEuWLDH/7LXXXkNCQgKnhzNmpNfrEK0rBWRAQHQqPy80o7//O8w69Sa2+50LjJayXxxRW2szFEoPyOUKe28KY4wxxhhz1RlsWm89ffp0rFy5EjNmzMA999zTYX32o48+OhibwZhTqKk4BR9ZK7QGOUI5wJaowsWFd2s1HFXWthXwe3c0Wt6eirL8o/beHMYYY4wx5qoz2B4eHvj73/8uvjr7/PPP4evrOxibwZhTqCk+IS7LZOHw9fSy9+Y4BKV/hLj00zpOgK1tbUF1WZ643lyvRuaeJxAga4BK34j87C2ITMyEMys4ug0+G/+GRo8QBC5+EXK5HAEh0fbeLMYYY4wx9wywr7vuOiQnJ+Oss87C1KlTuw2iObhmrKO2Wmn9tVoZAR56kngHRorLQH2NQ7xcDHo96j6Yj+G67A631xt8UHnD78jwD4azazj8E8ZrjwBaAMsmi9u2TXwTQyYttvemMcYYY4y5X4r4nXfeKfpe/+Mf/8DkyZNxyy234OOPP0ZhYaGt/iRjLkHfohGXrdyiy0wVLM2cBhtqxRp1e9Np21ASt0hcbzR4icA6S56CrHM+hcoFguvWlibEVqxHq6HjWnKfAx90ef+WpgZo1OWDtHWMMcYYY244g01rrumLHD9+HOvXrxdrsP/1r38hMTFRFDyj2e3x48eLFHLGmMQzLAXbS89FS9gIfkqMAoKjpA8smR71NeV2T1VWenph2KKHUYGHzbcFGb9MdFotFMpBWYVjdZ5ePvC8azNq9HoUv38xxrTuxkGP0dBN/aP4OQ1y6LVaQC6HDDI0fLQIcdpC5C76FlFJ/LpljDHGmPsalLO/oUOHiq877rhDtOTauHGjKG72wAMPQKvVikD8mWeeQVBQ+9NTxtxT6vgFAH2xDgGtGv4IRh3qqkvtHmD35MiqVzE8911kh5yLoVe/DGdz8n/XoCkgFbFz70NAcASiblqBIl0borx8zPc5seETzDzyF/P3YvhDBrT89ixw8+f22XDGGGOMMQcw6NMrFEQvXrxYfOl0Ouzdu1fMbre2tg72pjDGnMjh4Y9D7qVCTGSS3bbh2JePw1eTjYbIiQgdfQHCY9Mhk3dcaSNTeCAMNfCrz4WzoT7jkxo3orVhC4rkD4jbaBbe0pl4xYyHbLyFjDHGGGOObdACbI1Gg8OHD0OtVsNgMHT4WWZmZr/6YC9btkx8ff311+bbaEZ8zJgxaGtr63Dfxx57DDfeeOMA/gPGBkdjfQ0UCg+RpjtInfScwtDZ19n175/Y+iVmli+VvsnfCuS/gpPXHzxjzbVPVAaQBUS25sPZGPZ+JC53BS1AWmBYt/dLnX4lTo5bhIIdyxGS9z00o25FysQLEWcMxLXaNuTtXom0yRcO2rYzxhhjjLlNgE2z1JQeXltb2+191qxZ06cge9WqVaLtV3p6eofb8/LyRHC9Y8cOTjlnTqli+V2Y0LQJG5MfxsjFPCPoCDTVJRiz51GRBm1yXJGOkC4KmoUmSGuQo1GJggYNfFQBcBZBzQXi0pA8t8f7eXh6i6/MeXcBuAtSjXdJQ50aDZ9dhWnaw9guVyB1olQMjjHGGGPMHQxKgP3mm29i2LBheOihhxAYGNjlfWJiYix6rMbGRhFY//DDD6INWGdZWVkIDQ3l4Jo5LQ9dg7iUefnbe1McSmVxDiqPb4TSJwRDpgzuzGh59k6kylpEtfA9GY9Alf8LVOc/1+V9/YPCUYlAhKEWFQWHkZA5Fc4iXCe1iPMNT+n3Y/iqAiG9goHW/G0AB9jMzVAbv6zt3yBhzDx4+/LnOGOMuZtBCbBLSkrw7LPPYtSoUQN+rNLSUpSXl+Orr77Cjz/+iK1bt3b4+YkTJ5Camjrgv8OYvXjqGsWl3JtPzNqrPLoeM4/9DQc8xgCDHGAnjpmH/cHfo7WxBpmjaXb39h7vX+yRjLC2fWjI3wU4SYDd1KBBAurE9eDo/gfYtCa9MuZsoOAwfDXOtw6dsYGg5RHZKx7HzMrPUbgvGg1LfoYqMJSfVMYYcyODEmBTwFtUVITRo0cP+LFSUlLw/vvvi+sUYHc1g02Vyi+99FLk5OQgNjYWt912Gy666KJ+/02l0nHXwSoU8g6XzPl5G6QA21MVyPu3/fMSGi8ug7Tlg/6eVCp9kZA5weL714ZPAIr3wadkO5RKqViYo79/NeVSMFwLFQKDu19/bQmvyKFAARDSUuDQn5+25kj7l9l2357Y/gO89v0XTcOXQCZXoNHghXiUYNMvL2PElf/kp9/J8HvXtfH+dW0KBzj2DkqAfffdd+Pee+8V6d0jRoyAj8/pdi/tU8St0Q87OztbpIc///zzCAsLE2u1H3/8cSiVSixa1Pe1gHK5DMHBfS/ANtgCAs58TplzatFLAXZQWIR5v/L+BaKThwJbgHB9JbwDfc6o3u1IoiZdhH2rD0HnH2PR54cj7N8yeSuKZJFoUAQifYCfefGZY4GdQIyuGF4Ovq8GgyPsX2bjfZv1E8a07MKOgkRMvfcD7F45AeN/fxBDS79HUODLbv8ecFb83nVtvH9dW4Adj72DEmBTO66Ghgb85S+n+6Z2VeQsMTFxwH9r9erVHb6//PLLRcGzpUuX9ivA1usN0GikgMcR0egMvYA0mibodHp7bw6zAl+awZYBWniL/cr7V6JURYhLH1kr8k/mix7Ng6G5qR4Fn92D1vBRyDj/PiiVnr3+TljiOITdLnU3UKtNK5Id+/0bmToFuH8vUFfT4zZbQukrlT3zlrXhZF4eAkNEp2y340j7l9lu31aU5GNy9ffmAoH0/okduxANO/6MCFk1tnz9FoadzV1MnAm/d10b71/XprDRsZce09JZ8UEJsF999VX4+/uLVO2QkJAu70OzzbaSlJSEnTt39vv3tVrHPzGiF5AzbCfrvThOAJrEdYVXgPmDgfcv9WP2QTUCEAINqkvy4Otvu8+M9oqO78bk+rWoqv8dOv0DNnmfOdL+9fQJGPC2yBVeqIY/QlCHmrJCqAIGZzDEUTnS/mXW37fqbx82fx+VOUvsa/q8OhhwFqbUrcHIg/+AZvJl8PL25affyfB717Xx/nVtOjseewclwC4oKMA///lPjB8/3qZ/p76+HpMmTRLp4RdccIH5duq/PWTIEJv+beYYdFotDDBAqRz4cgN70GnbsNP/HHhoGxDpF2TvzXE4VfJwhOg1aKqidlITB+VvNlKhMvoc80pHXB9TnVtbmkRPc4WxP7Q7OZh8p1iLGhMSbe9NYcymIpuzxeW2gPMxpF3rvphL/4PaDyciUNaAQ/tWI23KxbwnGGPMDQzKWV9ERIToTW1rfn5+IrB+5ZVXRGG1+Ph4rFixAhs3bsRHH31k87/P7EujLofsi4vgYWhD3WUrEByR4HS7ROnphdQb/mfvzXBYGs9IoDkHWnXhoP1Nz8oD4rIuWOpvbanWN8YjFmXYe+43iEsfnMGA/mqoq4bP0tmoUYQi4OafxetwoIad331xN8ZcRVtrM6L1ZWJZT+j8Jzr8zEcVgP1DHqCUDsQOnW63bWSMMTa4BqXyzJVXXilmlamqt6099dRTOPfcc0VhtWnTpuH7778XfbgnTLC8AjBzTmU//Q0p+gLEG0qgXvVXe28OswHd+NuxbfwbiJl8xaA9v1ENR8WlMmZsn36vTSZlUbTWq+HoNBWFiEQ1orXFVgmuGXMXFYXHoZTp0WDwRlBY3Bk/z5x/NzLPvWPQakYwxhhzkxns9evXIy8vD+eff76YZfb19YVMJutwn88++wxxcWcenHry8MOn1z2ZUIXyP//5z+KLuY/mxjqMrlkrZhGIQiutY3bGHqqUJu7p6c1VZ7uQPOacQd0fVaUnkWE4Bb1Bhsihfetn3aTwp0p10DZUwdE1VheJyyp5KPys9JjqiiLUnDoMD58gxGVMstKjMuZYAiMSsGXMS9A11SCzlyUkDbVV3BObMcbcwKAE2NSCa/HixT3eh4JuxvqrYN8axMuaUYJwNC1Zg8SgcKd8MgsO/IrJ225FtjwZgXdtsvfmuL3yvd8jA8BxjwyE9XEtcZMiQATYdOLt6NpqS8SlxsN6AXbp78sx6+SL2Ol7FpDxqZUelTHHovIPRvr0K3otXnl8xV8woWwZdmY8hsxzbhu07WOMMeaiAfYDD/BaPGZbhnwpGM0LnIo0Jw2uibZJIy7bZJym292J6onNX0BfcRwJ8x6Ayr/rrgTWItMUQmeQoSJ8Gvpas7zNwx9oofQKxw+wDfXl4rLZM9RqjynzlfaNd5vj//+M2RL1gVe0qEWLwQnHnkPt7BudthAnY4wxO67BphTtsrKyQfs95l6Ob16Go18/hZamevG9d1OpuNQnOHchGX1znbhsUajsvSkOe6KadvB5zCp9HxV5UvExW8q48t8oueUYEs7t+yBhm6dUBV7mBAG2rKWmwzZbg4efFKz76mqt9piMOZrDa94RxyNK/+5JylWvi6UmvrIWVBYeG7TtY4wx5kIB9p49e9Dc3Dxov8dcqyrrkZWv4Pi6paLtVlcC44ZjcvFHKFjxiPg+8eYvcHjxL4gftxDHlv8ZmrdmiN93NoYWKcDWKnjJRHdKPaXq8E2lg3OS6uWj6tdMud4zUFwqWqWsBEdm2kbTNluDp7FPuZ/e8f9/xvqbUTPqyP9hxv4/oqb8ZI/3pVZ9Wco0cb321EF+whljzIXZNEX88ssvP6OYWW80Gj4Zc3fZP72As4rfFde3FG9HyuUvo62tBVVFx83tjlobNWiBB0bU/IaG1hZR+TginlbLAp6NZUjVn8SpemldqVNplQLsNiXPYHenzi8VqN6L2JxPoNXe4rCploqIDOxRT4Y2ZCgcnc4rCIWyaMAv0mqP6RMgLdUIMtShVq/non3M5VRXFCNU1iBmpsPiMnq/v28KUHcC+jKpMwFjjDHXZLMA+5JLLkF1dXW/ftff39/q28OcA6XZjSn61FwNfHrN99j0jQrjKr6GQhYEw5Cd4kQ9Nn0StOuUCIEGR/b/gtSJC82PoVNKs7+y1kY4G1mrlPKu87BWqSnX4z3yUmDDV2IQZcvv3yJ92uU2+TtHf3kXEdnLUJawuF89ndNnXg3Q1wA11Knh5eNn04GEjMv/BeBfyLTiY/oFSW2JvGRtaG6qFz2BGXMlZXmHQAshymRhItOlN61hI4G6nxFUvXdQto8xxpiLBdh33XWXrR6aubCCtS8jSdaAPFkCTmXeAc+CdUi64K9QfPAVYlEGvJWAHaqzEXnxS8hXTcDkht8w5fc7sPvANEQu+RBe3r7QeRgD7DYpWHUmcuM26znA7lbiiJnYum8xptV+D3n2asBGAbayZDcydMdRUV8Mezm+8VNMPPAEqmTBKF24FFFJI+AsvLxVaDF4iAC7vqacA2zmcuqLpJnoMs8ExFpw/+CMOUDev+Gnq4bWmHnFGGPM9dhsDTZj/Zm9Hle6TFwvHnkfMubcgJQbPoS3rz+OeI8z3y+1YTd8/IPQEjPNfJvMoBPBNTEY06sVWuebwdaFZmK391TIwx0/rdieZOnnicu4+v02+xsBjQXSlfDeUz97qynQX/GHXhUBagzKoVv7FzgTyjTZnnQPNqb+GT5+1iuexpij0FXlissGX6kuRG9ogIwGj+vnvw2FMSOF1nEzxhhzLYPSposxS6jLcgF5KKpgwJBOfUUbUhcBR3aI68eD5iBdrkDU2AugOfESauRB8Jr/rPm+Bk/nDbAzz7sXAH2xnoQkjkbZzhBUe0Qj2kbre/10UmVtj4Cofv1+eeExpHx3PtrggZZ7j/f592mGK0Zfal4uUeefCq22zSap4uq3Z0Nu0KFl0XuIiLfe4M6wRQ9b7bEYczTKBqnjic4v2qL70+eU/PqViDYOOOXtXYOAHc+jURkEn/NfQFhMqk23lzHG2ODgAJs5DFHALH07GuqqIZcrOvwsecoVqDjyEnwNTQid+wdxW3B4LDS37IWXlzd82t1fZgywlTrnC7CZZUIiE4F7DiDGhk9YgEFqL+UdIK0l7isv3wDR99YHrSjVakUV4b6oLM5CtEyHBoMX6u48jow+/r6laAYtSZsHT5kOxxy0YBxjjsi7WeofL/O3fBDOt102h+7gcrEMBTrg6Pd3wHD7mgENFlYUZYtsEb9AqYJ/dzTqchSvfQkeyTOQOnFRv/8eY8x5VJXkwsPbDwHB/TunYX3DKeLM4XTVEokKyKiv+BmFl65BaHRKh9s7B+Nyn2BUIghaJ6zETTOUzP70eh0CDVJFd1Vg/w5GKn+pDzShQaO+0hRL6zuLFXF9Ds77oqW5QQTXxKcf7ch6Ulmcg9w9a1BewH1/mXMoztqDo9/9C0d/fg2N9T33sPdb/Dy2jX8F4Zmz+/W3Uq99F1vGviKqkGfqjqHw2PZ+PU5zYx2Of/4HDP1mDkqObur1/nUrbsfMik8w5fc7kfvRjWhpcr56JYwxyx379X2krTgLJaupoCkbDBxgM4dA61R7Cy5pxrp9cN2dobOugeGeQ2L9trNpeXcmAl9PxMn9v9l7U9xafW0VFDKDuK4KktpN9RUVMKLZZ9Jc3/cAW9eoFr9f4x0nvqf3R+7etWIU2ppqK06JS/pbPr7WrfRdve5FTN52M6p+/8Sqj8sYzdaW5h20ejZH2JrbMOvUG5iV8zz0S8/vsYZC8vDJyJhxuUXHpa7QbHX6tEux02+u+L7xwFf92mbNx5dhRvWXOCWPQUzmrB7v39LUAIX+9LF2cv0vyPvx9BIrxpjriT/+njin8R1zpb03xW3YbFpk6dKlqK2VUiwtcd111yEoiAvhuKvcbV9i3MGnsDd4PtKXvAl35WNoErOJCi+pYBvr3pEf/w8Z+UtxInwBMq543qpPVUujBqUIgxJaeHh69/txmmQ+UKEFrU3SbHhfZJ5zOxrPuR1xrS3i++KPrsHk5m3YOOQxhEbfA2tpqMoXl5XyMPhaeS27zkuaEVe0qK36uMy9aapLEPfNQuyPuAhRydZ775cXHscI6lZBWSwGGZJRgE3fPoUhl/zdpm3yWhNmA0d/RVjNgT7/bnXZSQzXHobWIEfRhMeRFng6c6YrlPUVdftPKG5tRs7mzzDz6F+RUf4jtNpnbPo/2lP2799Dn7Ua6UvegKuhWh16gx6eXj723hTmwAWEkwyF4npAuGUFGZkDB9ifffYZCgoKTp9o6aQURG9vb4SEhECj0aC+XkpLioyMFH2zOcB2X/qqbPjKWiDXa+HOKMCmolYe3twLvlcGHSJRjZONJVbfD+GxQ4B79kGaw8aAAmwYatDWjwDbxNTKp9EvCWjeBmXFYVhTq1qawa7xiIC1h3UMPlKA7dnac6otY31R/MsrSJU1IKD2iFWfuEZ1kcjkyPNIR3XCAszKfUGkUh+rvBOhUUkd7nvy0GYcO7YKqhEXInrIhAH93ZAhU4GjQIo2B5UtTX0KliqzpLTyPEUS0iZfCJ1Wi6qSbITHpve4npsGDlNnXIPqo/9GONTY8vu3SLdRy0N7am1pQlvBDsyq+Q4n6/4BlX8wXEVLcyP0H8yGDAY03fArt0JkXSo5sRX06VWESASG2rJyDRuUFPGff/4ZR44cEV8ffvihCKrffvtt7NmzB+vWrcPu3buxcuVKTJo0CbNmzUJsrCVdJJmr8qqTZtFa/Qc+ukYptBXvzEP5O1IrJ2dBqX4qNInr3lZO1XVFCmPlXlVLBRxVs0wKWXUDCLBNZJGjxGVovXXXMxs0ReKy0SsS1ib3lU5mvds4wGbWm7EbVvGDuF6Xea1Vn9bkMeeg5OpNaJr6Jwydfw+2BC0WAbdMZizl307j3mWYWvQ/NG57e8B/NzwuHZUIRL4yEXXVfRswVJyUlhOVB4wQ6ez+b2dg+PfnQF0hzVidkU5eLc3Qm4LsI6HScVJbmXPG/bO2rYDP62mQvzFcLE9xJuryArGshgYrhpV9K24rz90LV3Jy+wokGIoRbyjByY3OtySODQ5d1i/i8pTfSHFeTO/n+tpKfvpdYQ32W2+9hccffxxz5syBQnG6IFVqaipef/11/PDDD2hoaBiMTWEOKqBJmkVThPRvLVtnw7RHkNbmXIWVqNiUad2vlyrQ3pvj8DyDpZHYQJ3jHijKgsZir9ckKFV9nzUpeP8KnHrvEpSelGasfaPSxGWIzsoDCh6+KJRFozWg4wydNShVUrqqj05j9cdm7il70ycIRS2qEIjUSRch/9AmFL53KbI+ucsqj08zPEmj5ojimbRcqfHeHKlrgWnGUK8TRcGGVa+RfiF94YD/Js00N9ywBcF3ru/Teu6a8kJM0EiBr+eIy0TAXKSUajaUHzozIC7JO4DUz8ej5q2zxEw3iTj7YWz3n4eh5z/coWgaGTL5YuwPPk883yHb/+5UPbu139yKgLczkbXjOxR4Z4rbmvOlVp+uwifne3G5y3s6MuZze0/WtWT1ZnGpTVuIOG2eeD/XVUkD68zJA+yKigokJkoHqM4CAgLg6elpThdn7ilSVywuVRFDBvxY1B6JeMq0PRaocTRNDRrz2j9vHz97b47DU4VIJ5Kh+r4XEOvN0e//haq3z8bRNQObnRp69X8Qd+vXSBrZc+GhrmQ07cHYlt8hk0kf054+0qCLj8G6r+nMRY/A++6dGHbRE7A2D+MMto+eW+Yx64g5Ic3UHY5bIpZP6NqaMa5lB4bVrjMHjf3RU/BYU1mEo2veEum4kW8lIu6DDASjTnSrSJ18AayhffsuS5VnbYOHTIcTiiFIGi0VSisLnSYuvQrWn3H/5s3/EZcazwhzZwIqHpp6/Qfm7+l/DfxgAo5/9gDa2lrgP/U2cUxK0+cia2vfi7DZAw2ADGk7DpWsGYExQ1EfPl7cPqLwY9TVOG7GU1/QuU1GkzQjL5/+hwG1d2OuizJWYo11JWJHnoNGSMtP2pp5UtPWBuUdSTPVn3/+eZc/W7ZsGby8vBARwX3Z3FVtVTFCoBEH8dD4jAE/nle74NSZ2o+0NkoBdiO8+WBpAVWwlNJMa/dpZsmavNTHRX9aQ6N9ZsfpdUsnh8QvROqx62kcOPJFs9PMJHn6SoMCfnCe9yFzXNVl+UjV54ljReysW8VtCSNno97ggyDUoyyv70XCTErevxANb05F3j4pnbI9vU6LuJxPRDquicagQuG0Z6FUesLaa4YpDd4S6dOvQM7VO9F09kvm27zTzxGXaY27Oww40Mz70HppvbZ+wpmz/fQZenT1m0hbNhkBsgZE1u6Dh4cXolNGYUvkdeI+/keWwhlUFB4VxUKr4S/Woqecez/yZAniPKNo7ennypkVHt4kjhHVCEBs+kSxr619HOwvOj5Ra0p6LTP70uu12BR2Nbb7nSvqD7RQXRiazW7mY7Kt2a65aju33XYbrrnmGhw+fBhz585FeHi4qDBO67A3b96MF154ocs1Tsw9VOTuBs1bn5JHW6VIB6XJtRqUYgabqkH7BYbB0daGVebuRtqUizvcLld6YI/3FOhlHug634O1R68VOtGWywxoqlfDy9t6Jbp8WqTAWh4QY7UTjr7MMNSppRFneh37GpcLePtKhe/o/6XlBKbvHVlAeBw2xN4JmXcQpCRNxvqv7MDPGEprg5VpCAmWBuWp8nWu51CMatuH2tztiEkb16/HjmvNFamT1d5nZg9Rirjhjk3IoXWLBmkZj39QMMZGhkKttt5MUP4HV2NU4zbsmfoWUscvsOh3AkKixZf5/xg+E5pNvgiW1WH3id+RMEya0aaWZqNRj0aDF+Iyp5/5QAYDxme9KIpskuLocxFk/MwKnnQd8ONSZLYeRFFtFVS9VCq3t8byPHFZoYhGiFwuKqfnj3oQyfsfwojyb9HU+rcBdYdwBK3GdbVZqknwzT+CpvXPY1LjeuyY9j+kjD3XbttVXngMPj/eghR9PpoNHtgZcQWCJl2HqKQRdtsmdxYUFougK/9t/r5F7gPoAF3LwOvCMAeYwR4xYgQ+/vhjUSX83XffxTPPPINXXnlFpI6/9tpruPDCCwdjM5iDUniqsMdrMgqDpljtMRtl0sGzP+2RbKmxvgZDlk/HtN33QV1RdEbl6vhbvkLizV1ne7COaI0knWgfVWSIGSZrCtRKaYSeQQMLsI+ueBL+ryfj+PJH+vR7jbXl4lItCzAH5rRsYFPE9dgYd7c5bXygGurUouCJ+u3ZNllOofIPEannmefx+kBHQzNetIbXWbIhSNiwOdgQfy/K0zsWN6sNlgoAepTv69fjUsEfCq5JaFzXWVT0PgwIjkBASKT4skWAJte3ioHh1oozC461R0tXjvzwfJf7jgYc8ryk/6Gh+JD59tqsTeIyxzPD3JmgPQpCSxWnP+9CxpweAI5MzBQzwJSOXvCb47e60qpPikuN1+mBh5QpF6McIfAytKIst/+ZDo6EBphbE84SNVsouCbaI9K6bHtpW/2oCK6Jt6wNMys+xdAfF6Ekd79dt4tJWinAptcOp4i7xgw2GT16tOiN3dzcLALr4OBg+PnxOlMGJNPaMeP6MWtpgrdIGRxIe6SBopOfo9//U5q9MwYYTXXVqJP5IhANqDixBcHhV9ht+1xByJ1SBV1rE+u6ZYCvcZ13v8nk4iRDoe3bLFeLRgqw6+SBCGx3gp9x+T9hTTVlJ5GEWih1WrQ6+YyOsyjK2g3NoR+hqj6EhujpyDz/wUHfhuKsPQhbcxvSUIatgYuRdu2bcAaU7hse++iZPwhLA8oBP2OxzL6qKjyKZJp9Q0i/1kJbS7N3JEDZ4fWnK313VpS9F7Oy/iGub/y2EZmXPH3GfRp8YoHWPUDN6VapXqW7xKU6dByiunvsiNlILc1DDfwQlTS8w88K029E8vFnILNSVo8tKTVSBfVmVVyHgYecyc8hNGk04sKcv2tNxhXP40D2VYiPTBQDmZuH/RMzjjyO8LqDdt2uxuHXo3rPCRTO+wR1RYcx4/BjYtDI/+e7UL/ke4fLKHR1Jw+sQ2jCCPgHhYvv2xQ+QBugb+UUcZcJsMvKysSs9YYNG1BZWYk1a9bgkUcewQUXXIDzzz9/sDaDORBan1NdkovwuKHmAivWolEEw0PXZvWZzb4oztmLs4qkIlm5NVeKD7j6VY+L4Jpoa0sGlEbMbJdlEC6T1o4Fhg+wbZynNIio7GOArWuokrZFcTrAtoXmGuk1WC0Lha2GOykgaK2rQMSQCeJE0JbFXOg95ujvIe2mf2NWk1TVdVfp6a4ag6GhtgrFP/wF02p/NN82umY11M2NVl1iMdi8Q6RFNSFt3QemPWlWSwFZlTIS9jz91/pGgCbSlU3d/x+aY6fXiEfPur3rO6Wdh43FUfBJPct8bElokGYQPROndvvYKQsfw4afvRA2/jJ0roqTPvtmbNS2IGPOzebjt8d7k5E/81UkjZoNR+LTJK2VNwR0HCBNneBa55qxQ8aar4ekTwOOAMnaPFS0NtstBT5t6iWoGzkXMTRQlTYOBxPHIHblFajwTYWqtpID7EFEBQsnbpLqJ1CtBlpK0uQdiVMtUZB58IC6SwTYFFxfdtllaGtrw7Rp07Bx40Zxu6+vLx566CG0trbioosuGoxNYQ6CDvgtH5yNkfoCHFVmIuwO6/bYDLlzHWilnPUbD1mu9sQG8/XSo5vgP/US+LWermAqa+3YuujYmjcxJfv/sNfvLKTc+NGgbis7TVMpzYLVGXwGXhPAHGD3rfiMQdsiCjc1e3Zs71VRdALNddUIiU6zyjpIXUu9eV2WrQLs0DW3iz6tO+VLobJyporJsS8fw8zyj7Ex7S/InGeddk22QGn4mY07zetcQ1pOzzAOhtLv/oRpdavFdUr5jdKXQiVrwYF9azFkimMv1SrLPwp17u8ISBiNmNQxHX7mH5Ek2nbVKkMR1o+BSn2dlDHS4BFq1wAbftLcsk9L95Wu/cqkVlOUKj+sm5nYtMm0L0/vTwMMyB3zOE7mrEFs5oxuH5sGWbrrJkCD4Jnn3Wf+XlNVjExUo37L48jaPwJaVQzSFv9FzBTbW13UVOyoVMEndnS35x9VpXkIi0mFM6KCdbREqr3Q6GRoDXKRxl9fU47giAEODvdRS7tBuvZZIFHJI9Fy2z4kd7EsgdmW+oc/i8tceaK5TkP6EmmJx8DLCbPeDMpQ/zvvvIO0tDSsW7cOL730kkgPJy+++CL+9re/iduY66sqyUXFO/NQ9s4CMbubopdOLjO1R3H0K+u3CLI333IpJY/oCrZBq21DlO70umtZS8cA29BaL1KpzGffrFdZn9wJ/RujcHyd9arbtjXXowThKFd0l0hpObmXFLZ66voWYFOQ2HRvFhKvl1oSmXh8fxvG/XoZSo5KM6ADpW9t6LAuyxYa5dJz0NZYY7N0ZwquybCs1x16TXF5wVER0Jr46Ae3ym7Ktf/FzhlLsXXcK/C5fSP2BJ8nTspbK47B0VUdWoWZR/6CtvX/OuNn1Dtaf89hhN+xpn8ZDI1SQNviZd/iXcpA6STYv6377gWRzVIBL5+ECRY/rujpPf0KDLn+PasUEiUK4wwYHcenaVZiVsl7yPqh9yUsNEjYWzs1CiCP/PACCg7373Nu2KKHkXLj0i7bI1LXkor/LkDs1wtEtpKzoc83xVujoXlrpjinar+Pa2VS4cuGGmnAaLBQ1XvZ+zNx7Nf3u/x5V2v+mW0dXfuOWJdP6/Rr5rzIT7erBthULfz++++Hj8+ZJ3FXX301WlpaUF1t/V62zLHUrPk7YrQFaJryCDTGgiuEqpoGjr0Mrsa/5XSan8ErALnbvxHrwk0UnWawZcZgR+vhvKmag03ZVo9IVENnxXZa8RlToLxnL/zvOJ2B0F8KL+lk1quffaA7z1K0yKXXhs5K66cMLdJrrk1hu9dci1wlLnVNtjmZparRNHNNwlCLgiNb4KjqTx0yt3giPhjcAJuCT+qXnDb1UjEjGX7uo8hfsgvDLpBmOhyZskYq/NXkb/28JINPCLLkKdAGpcCefIKlGekQvbREpLOWpgZEG6TgKSR+WI+PVVmcgxObl4tlAbZA/bM3hS/pcNuYok97LJZ49JtnMOzbucj6uucB9eO/voezCl7F+PVXWX3AzD84EoG6KgTIGlG456de76/VtuLUsd/hKKrLTiIMNUjQFcC/XfV4opEFdqjhMVhyd34nei1nHnup2xZztB9pMJTWBDPbolaD049LdRp2BC4Q5zTMhddgU3Gzrmi1WvEzg7H1BXMNdTUV0LY2mdOUaPY2o36bVHisuQ6hhavE7dTCZ+iiRxFj5TXYR75/DmEl61GdfiUy5twEe6iZ8EdsrMhGxJhFiFJ6IXj5eeL2JoMnfGSt8NB2DJLkxu/1Sunkm/VOa3yuZK3WL2ZnjbW8Ch9pRsHbYHmAbTqh7OrviwIlWqoAap3/19BmHNSxYYDdqvSTiqoY09EHip6fohO70NJQJdo7pow7T8z4by/5HVPq18Jv81PIx1OIy5hq9doOA6WvlGaKc70yMaZ1F3wNzcba1bbV3WtqsNNIB8K/QapMbAihpo7WNWzhHwH8EfYrbyYJCIvHMcVQNHiEIL6LVPeqU8cRJzOIAZqA4J4zbPy+vQqZhhIcPDIKRaok+E+9U/S0tqbkxX/Dhl8jIfPyh0fJTrQFJiNZ23bG+l8aGCj54jbMapSWBwaMveKMGetTR7fBUxUsiqv5nJLuZwpw+7KemGbH66pL4BcU0eXMKQ1a5oXOQVzl5/DIXQPM6jhI0FnO7z9hys57sH/TWMTc9gPsrfqkVCm/UBELf6+Ok1al4/6MYr0WUSmn12bbEg3etLY0wOfoMvH90bDzkdHNbDUtgZuV8xx2eU8HRs0ZlO1zV567XodCZsAO1VwkX92xgCVl+0Ueew+loVNFoTxmO4Ny9jF+/HiRBk4tuqhVV3tvvPGG6IsdGurYfRWZ5XJ2r8KIbffjiGoy9Oc9g7J9P0LhG4wZqBfVSRNGnQOPXU9CZ5Ahcsq1NjkJ9tAUYLj2EDaqJ9tt17UvqJL//pVIhxonZfEon/53NOdthSKyY5VWuTHYMRjX7bLe6Tz9bRZgW4NPYAQOK4ej3isals6NlRceR9SPlyPLf4pI6WzPNNNsCowHSubph3xZLFp9B54O3x2tUtpmmZVm3bM/u9tcpKvNoEDNOCnw8ph4G3S//YIM3XFgw9XYWPCwXSp098RXI6V0aoJHAmW7xJKQtkEoSJS7dzWGbXsQx1UTkHTTp3BGkW3SkiKfSOqEfaZjX/wRidWbUDDsPgydLRX2cTbU/gt3/oruzoaoaOdBj9FoVfgioZcBwBKfoYhvLMHItgNAzQFsLpph9QBbrNle+JDxu9u6vV/+149geuNG8X7dFnsLMo29yildW+npjYJtyzAr61nx8yMLvkNSo9RGa/vkd5Hax/dGVUkOhn9/tsiMq787q8uBSkXSDKDyc4Q3ZfX6eH773hGXDd4xIm3dp/IAkm/6BPaiLZWqhFf4pEM6+p02mHUUaNCu9fNLka7LNt8WNOn6bu/vGZYC5AARLdISB2YbdP4wsnm3WGmomvPYGefXuuYapOlzUVvv+N0AnN2gBNi33347LrnkEsyfPx8zZsxATU0N3n//fRw/fhz79u3Dyy+/PBibwQYBjR5H7Xga5YoIyMbdjMoTW3BW7gvmnx/3m4IUH5Vol3EidyMyomxThkxnTLOWWSkQGYiWpnr4t5WLAYXaeW8gmU4uxpxzxv1MhbA4wLacwRhgK6wYYGd9cjdC6o9DPe4BDJm0eECPFZU0Arhj9RkVeXvSqC4SKYCN9QdsHqxmzr8HwD02LXiiUxgzMqzwXizNO2gOrk/K4tAm9zTPOiYMm4atJU8h9dgbyBv7GNImDGzf2YJfq5S6KQ9PB8qkAQL6fLB1gN1anoUAWQMUujMzybKX3gq/5mLIF7yEiHjHLH3T1KBBAqRlZKHxmV3ex7OlCgmGYuRpTte5cDVxGZOAjN7Tmklz1CQgV+qNXCCLQerUy228dd1sR2MdxqtXiRP+neNfRubUS8TtR1e9ivE5r2BvyCIE10uB7s6ghfBua0Y41CJAjhvR9+rkzcb0aFqPrOxmEMI/UipuFqkrR0MPRfF2fvs6JrYdQKtBCd+pd2LM6gvE7Sdrq6xSZLI/fNVSFkxziH3fq1RHZ0y74HqXzwwkJo/s9v4hiaOBHUCsvgQlTQ2i7zqzvsCwWGxOvBfe1UeRknjmZ6XcU3relbrBXZ7kjgZlDXZUVBSWLVuGyZMn49dff4VGo8Hy5cvF2muaweY2Xa4jd/dPSDKcQqi+EuEpY5A+cwlK29Vl1aVfYJ7dzbjiOZtth8GYOqxo69/a14FSVxSJVJz8Q5vg5eOH4Nt/xf5zvhTrRbvjoWswzyoyyxg8jPvZigcLCq5pFlTf1v1aQlvSNklJw03Gtcvt6Y3/r8xOr+v+MG2zKUNjINS7l4vLPV6Tobp7O4LuOp1KSjLOvgUe9+xB+rTLHbKwTvXoe7Ah4T6EDJmKoluzoL47b1Da1shrpFmjBj+pnVV7cfX7xSxnQ7XU2sgRVRVKQUU1Asz9XDtr85KKp8qb1X0vGvXGMDS9OUnMqDoC2iZKmx6IyHGnZzPzM++xeXVvqiJNLfkKj23vcHv+79/CW9aGIkRiyOTT3WKUIYmi4N8M9Qpplp1mQOc8iPpjUkeR496j0NxQg5LcA33bDmOAXafoPuE/OErKJ1LJmsVytu6EH5Bmr7dH3yBaYpnOZSry+7ZN1hTZLAW1XtFnBrPlBcdwbN1HyN2zxubbERSVjE0ZT2Gf53hsjLkNYZe/1fP9Q6NFBiOlLlcUHrX59rkrOt+kmhopN3QskGoiMxVeHeQCm+5o0BaoxcfH49VXX4VOpxMz2CqVCt7e3IfN1SiPfCkuD4YswFBjz1vDHTux5fdvIZMrMWTS4KQwGTylmT5FH9sjWUtVzi7MOPK4KJyDERvFCLmp0ASlhJadPARtc32H/qH1Aek4rG6CZ4jzrIu0N5kxU8Gjj1W6exKskwqmeQfZJ4VK16TpUBysPdP6fHmbdWawB4NX2lxs8PSDV/z4AT9WoFpaf1gf55xr+KhHrD2oGk6KS0MXRbwa5AGArgRt9dYrFGhtjdXSMoAKRSS666SuNwbYypa+Bdh1tZVIhQYhBg2K/Dq2xbOH3A+vx6j6zdg17ElkzL2p21ZIvQmJTMTG+Hsga6xA2sye1xlbQ/6eVZi+9wFkyVOBDKlApKa6BMMOS5XFcyPmIaPdTDG1EtuUtxEzq5aZZ0AToodAWfqr+L5VGYAhX0wSS1hwt9SazBJaTam4rFeGoru9Sc9hOUIQgWrUlOZIqfmd1FQUIVlfIKowx86lTB+g1DMJUa2VaCo5Ypd1xJQNEKsvFdkAYV2ss646uAqzTr6IXT4zgXHzbLotKv8QZJx9K3D2rei6WVxHdA5UqohFkO44GspzgHTLq+Cz03J2/gTPA/9Dy6gbMGSiNGFl6ktfdGwbkntphan0ks4hvDjAdp0Am3phv/LKK9iwYQMqKyuxZs0aPPfcc7jgggt4BtuFRDcdF5fK9Pnm22jknGaUBpPMOGumtGLg1RfaRqlya5Mi4IzCOdQ/dOzai9BK60dH5JnT00wFJ/qSTuzulAGRop9vk/eZJ0j9XeIQZlCLExi/sHjrPOYbYxBgqEPBZb8i1IIlEfpmzeniYJ14Jk/HJoMOiriJVtm2rE/uQlTdfpSMfBDpMzoWHrKW5LHzAPqywqxeUusJcd0vqeeTs2O/fQB56T54j70aCZlT4e7CWqXe7l4R6Wf8rElJATaga3DcTh6RQ6djq+wVQK7sNsCGj/QTz9a+BdgN6hJxWQsVPDsVjbIHGQyiCKa+oePMKs1oB743Go0yH1Rf/I1FPZwzFz+GweIXniwuI/SlaDXe5h8UiYOJtyDq1EokX/DkGb8z5JJ/YuNvyaJFZfLZd4sgwV9Xi2r4w3vmH4Cff0W0vgw1feltXicF2M3ePR9JTwTPQY6uCSrvrjPGig+sBf1HuYokBAZLj1UXmAFU7IKvKMImBd2DqbGuGnt8p8NLq0FU6JkDwHKVNMPu3eaY7cdqvWOBhuPQV51uL8b6xnDsO4xr3o59+7U4WnIIHtEjRKCds/IFjC9aivyw1QiP7b4QpMI4g+1l4BlslwiwKbi+7LLL0NbWhmnTpmHjRimtz9fXFw899BBaW1tx0UWnU4csRa29du3ahXnzOp686fV6bN++Xfzd4cOHIz39zJMKZn00M0sHQwpOQuI7FvAabDLjKJ01Zzb7Qm9sSdTiIbXNaC8gNEaMinvKdNCoSxHYxYGSWYbaDWHqpbDWO5yqz0bJ9GK9PO0na6BWTL6yFrQ2dmzL1h2ZsX1bm8eZ/WpTxy8A6MtK/BoLRR/bIgeoVdCbluYG5PrPQGhDFqJSxvR4X1XuTxjXsgMb89MABwmwa8oLUZ69HaqIISLd9NjyP8O3LhfymX9CXLp1Bkx6+1wOij2zQFgrfUZRZ52mvgWm/V1LXbB3FZImXGDxTCyhz8hAeq/3QKGS1sT6aPtWl72pRgqw1bJgOMKq0Fbqxd0AyJs6tteqLMrCcFkTPA1a6MPi4GiCY6ST+kA04GRdtZjhpKCYelLrtA92WcyUlnFknndvh9vKF38OucIDYcbPXyoE2FBXbfFSCmWT1B5T69vzoOvQa17p8efywq3isjRsBkxHcf9xVwKrP8Hopu0oUJcjwBh4DxbKSgi5+Ytuf670k94DfjrbBtia6jIUbf8cqsQJSBg+w+Lfa6ElKg2AUiNl1FhDcc4+aFsaRQ0OV0eDzCkaaQmGt7YOYwrfwNHiDBypyEVqyQ9iyUXlgZUIj72/28fwMHc2aQL3bnKBAPudd95BWlqaWG9NvbDPPfdccfuLL76ICRMmiArjfQ2wqb3X448/jvLy8g4Bdn19PW6++WbU1dWJv/n3v/8dN954o+jDzWyr8tQJxMj0aDB4I8jOJwByrwDRDksv69hHeLDImmu7DZKooFGlLFikp9WW54uTx55aM7HBU1suHfgrZKFWW7PYCB9x0tlmTP3ujaxFup/Ww/Zr8U3rsOTGUW1baKyvQfWpE4BcNqBA0tvXH6nXv2/RfZt8YkTQKHOgglelh9Zi5tG/4pDHSGDIKkRU78RQ3QlsraLq2LYLsKuKs8XnMhWNCg4/MyujzVNKpJU123YGm2ZgdR+dhxmGAmysKUDmokes+vgexuBCpetbgN1aKwVkdcoQhwiwdT5SIOnR3DFlX31yj7jMVyYi2AHrC/ioAsTMcwjqoC7JFQG2SV86hbQvtFdv8IGfrAkNNRUWB9g+LcaZf7+BdUYYev3byCrYiwjK8DCigbGctUlI1Z9E8Z4fEHD2LXAkXgFSwO9v0MC63cM7Kju+GbPy/g+5+QnAcGkgwhI+Q8/FBqUXvBOt092F2r+NXHUB5DIDjgVvRGi0ffvY21pJ3gGMRjWaDR6om/oXYPP1yNQdQ2aeVKNCa5Ajfto1PT6Gp6+/qGWhkQeeUYWeOWGAvXv3bjz99NMiuO7s6quvxn/+8x8xGx0S0m3yVwdVVVX405/+hM2bN4sZ6vbeeustMVP+7bffwsvLS1Qpv+aaa3DOOedg2LBhVvuf2Jl02lYc9BgFrdwLcXYOFNOnXYr6aZdatDbIFuQt0giyzvPMGWxSrQhHhK4aTeLkeiqam+oR9b+RqJP5oenm37nCpp00V0jFoKqUUVZL1W+W+YKGii0NsA0KL1QiEHrvkC5PKGrKC2Aw6EW/2IHyNDR3SBuzheKjmzD197uQI08C0jdjMOj8Y4AawLPRMYpWCVVScSKNbxJobq1V7iNSs/XNts0eoNZO+zwniMHG+C4+l/Xe0iIWZattO3LnH1iHSQap1ZZ/6bY+/e7x9R8DBgOiRp3TbcaPd2AkyhAKjTIUfenqrq+XAuwmD8vOP2xN5isFkl6tHQc8DCX7xWWlKr3btcX2VqGIQoiuDo0VuSjUa9FQdBhBqVP6/VlVKwuAH5rQpKGguevq8Z1poqbj90o/qGJ7/5tUwV/b2iIqgmf//j08fIPRVJ6N0KEzEZ2YjrSxs6BWN0CrPR2uFoXPRmTpMkAmw2CjmXxfVVC3A/GqIOmoFWioQ5VeJ3p+24K2aK+4LFdl9ilISxo5C6AvKynYt1r0hRfbsuc7hC78A1xZzZHV4vKY1ygkjpyNjXl3wLf6iPnnjQlzkNnLQFR4bDp09xzh4NqV1mA3Nzd3OxNNPzMYLEtWoLRvqjqemZmJCy+8ENnZp9sEkJ9++gk33XSTCK7/v72zAG/kOvf+f8Rg2ZaZYb1gLzNkKcyMDTdJ22BTuk3b77ZNbyGlm1IKaW+TNEmDTRpsmJYpu5ss83p3jWsW83zPOTOjtb2WNJJGYO/5PY8eyRppJGtmzjkv/V8AmDlzJqZPn44333yTGdgKpRtqNLoRB/gqIlox8S0lPmbUo/ULi1XeMLKBbdeXAa69CPULC06XrZumjFt4B4JZUAc4WuhqPQDTazdR48Fy95qk98cjSNVubaYa5QxslUmocfXIEyZruvqn4PFTjOQObNm1EgvXfxmHVDXA3fIjB5HQh4RxWRuhDlEJNHoxJS1JUZXeziM0bV9OZgEnRq+Mw4yUTGK0C86bgCg05lcbAT8QUqjlWiQqGmYCDa9GfoHBSksiVCGpcjY1eA4KwlcEcyC+41Kz6xHagmtDfnlEA7t83Azg3s8Rb9xS7RCcMF5TObIBjUUYecyBoSn7Rb2b6X2gLHmxwFRh05cDrv0I9h2Bs2UTlnY/hzUdl6Gs7k8J7c+hJvoAnfDZIyt9D4ekpMth15v/i+VHfocN5jNhXPYtLNh4L42EEty7dGi9fiWs1pON+vJld6JTez8a05weTvA8cw1KAs34fMHvhghcSeSIBraGC8Ex0JOyFPb8XkFs0ls8A5mkZua52LltCqYEdiK/lYjjjW0DO7dTSA+3lS9BpUqFpstP1jVgZA9pCTPOmTOHpoET9fDhkLTx4uJiFBbK6ymoUqmoONrTTz+NkpKhgwfZf3t7O8aPH1rg39DQgD17hBQKRmR6Opqx6+0/UC9pJPa/+3sc/ccNUV/DAHR+MVppGDnW4BEXcypxcedxCIspEsFmaeLyIeMBaQtXFVQmFbjxjNugu3czGm58FErhFftAh7zJ9+qWDGGDaBgrUR9O0BhSlyymM+YO+axEKXzpIhQ+Oh6t+wVDIxoqQ/a0IjmyZwt2Pv8dzHWvon9riwTFAL9ajLNmuP59wll3ovue5ohtXZSisHsjvSeq0L1z4ksPzw8JawdTfnJpv5FSsg+o6sEXTkA2pfnmDqqjJWUW4wNCr+iiyWchW/GYhJwxte0YLDZBkDBYlHjmoFsjOKiDTuUV7lXG/LAgWP+218PGNYGIzPW//gB2rHrtpPfll1SnvfZaoiTYRvU8DHkjXwek/MzOCw5614DQrkxpnAM9aPJtp48LJwvlnnIJBPy0jduBTW+Ey+KSbUnFn/87+ph8p7G+Lq32CteUqU7oSDMaCAYCNPPuVCQtEeyvfOUruPLKK3HeeedhyZIl1BB+7LHHsHfvXprC/dvf/lb2vogxLtVwD2dgQIga5uYOrXu1WCzYvTvxvnsaTfbWxarVqiH3ieJx2lH08sVoRD82HN+KiXc8OeLrdP0HMde9Gqve/x2mXvtTOkhmo0Fo6zuO3he+AjXvR/Xd/0n75wfn3Y3Vx89BcdPyEc8fXkrL9Dvo9oBLmBgcnAW5g16v1PEdq5hz88NCOHzIRxcYyqDc7x0grbVIcNBnO+lciPf46nPyThirCoxLBpIizpH6SUvKxjmjRfjOJt4Nd4Kf4bT3oYrkfJP2NFXjY35XrWjU63mScZO5a6fr2B5UvXwBajmiIga0cqWom3U2/U4hjWBgc35nSr8jGdsN5sgOFI0mtRkz+ze8iYCrD6cFdtK/3Zc/jUk1J+psY0GUpXM5Qawyr6hC8d9q+tU/BPBDyHPxI+Vjc35pLfaoJ8GhL0WD+L927F6JWi6INpTQ1OVsxdh0PlYdzoWx/jRUrvo6fS6nenrCx8xecy5W941DTuVkWftwDHTDbe9DYcW4mOnRWovQT90YtMGmM+OQqhY2bTEcuRNQ2LeVGt4ma1nE40vWPi37N6OsfpqC805kHLZeVENw0pZUT4r4e2yf8SNwWgOqS6tTMq607/wQdVwQR7gqVDbEl/of8Pow+8Or6ePWqbtgskTuVS4X8h2OchWoQRs6dq/CpNOukPW+0ba2cjsH4FZZYQm6UDlxTlLH9sijl8FEMmSueALFlbG7ESRD8xO3YopzPQ5d9AoqJ0QXJ1WSbDi+aTGwy8rK8MILL+DXv/41PvzwQ7jdbrz44otobGykEWxSH60EpMe2FNUaDJdErYxKxcFqzQbpk+jk5ia3SOLzjNgy/0co2vh1zLR/Ai/nQW7+yUsOk1/wJNd3vA3+9y9hb+VVWPRlwYP46W+uRq3tUxyZ/R3MvfRuZBJVyIRarxAx8Zs10KZZFGbu2dH73ZbMOAfrtBqYa2bR80sVFDx8brUFtSOcb8ke37GK2XRiEaXXhpCXhdeqv6gJu9t7YCwsjziWDD6+W/73Uhi93dBd8r9omD5UGdUrZu2YeA/0Sf6voWAQraoiaoSWlJchP0W/HRcUoi0Gzg9NjhYarS7ufXQd/pTedyMfVTWxBRRzC6zhViSZHL9dfQbsKDwXJf2fo73sdNSddx/Kq4TfgyNZAwOANpTa73j891PJ0ha2615FbVP604vNW/6IKb5tWFd3N7TFDZgzbVZcTtmOY4LKt59Xo7quJup7t/zvJSh2HoD7kkcxcfZypAOlx2ardTLwA2HukiiuGY8Nh65EyFiIRVk4xknMPYuI1V6O3uOtKFglZGVNmn0azJbEvvPSG78T1+v3f/IY5n/+A2wzzMP0734Q9bXWUqHUgLQFm3jrgwDITT57fzof0wN7seOspzB16WVINT1Ht4bHwMqayOoyp115V2q/SNcOeteZN33EtUqsdSYR6CJzARdywGpNTiXn09cfJYt05IllWOqALe6xdLSsrej/9cPP4fN6UK5PzqET9O5HEfpxkHeldO7Zseo1zHOtoI5x19o/wjr/OaSbTB7ftNVgV1dX4w9/+AM1gkkf7Ly8PBgMynr9pMi1yzW0NZPT6UROTmI1hqEQD5stM62e5EC8M+QEstncCAaTS7mpX3A1jm76NWrQis2fvIKm5def9BqTV2gdMqAuQFWgHeqBY1QEhGBwd6IYfdjnC4WfyxT+wIlTu6OtQ7YCabooHb+I3gjkt3L2ikI7asuQ307J4ztm4TU0gn28vQMhIiiWBEf/cjGNaHjOeRjVk5RRdm684sTCbfh1MdLxLXXsQSU6sbXfdtLrfQGh/ljP+XG8szdpx1HO/YLhSpIjU3XN+oMnaqbbW9sTuhaPH/iMtmLr0FZDLeN75lVMxa5L3oPOnJvRschSNA7z7/8nPb554vGVvo+fE+a/kMeRsu9Ior+lELJj+rV5I34OiYx1vnA3dAE7qu58U/GMpBLfMXpvGHc66qYtxd7tW9FzcBPMJeNQO2VxzPd3HG2mddV9XB60A9FT/s3udlTzbVjf1oy++ui90gnJdG9I59hsrZwK641/pI8zPbfKYd+mj0GSWFu4MpgDWvjS9J19bUIpoMNYGfN34vSCqF0h34v2lo6TsjxiHd9eUwNg2wv7py+gb6oyQaJoHD+4A6T4sUtTLmsMTBUG0cD2FkxO6Fz0cbkwoAfHW47AmJdct5naLb+ga85VVXeiM/cWFNUvlP2d5Fy/+zf+Bzmbfos+yyTkL/4Kyuqnpkw4Lh6cruSOv5szAnw/Brq7UzaeBAMBFH34zfDfjX0r0N7WCYMx9d1RUjk+k33KjYqnzcA+ePAgNbBXrVpFDV4iQjZv3jzcfffdtFWXEhQVFVHD/ejRo3TfEseOHTupLjseBitIZivkBFLiex7LX4Cavn+Db16BwOLrTtqeHxIWa73504DunTB7OsKfaxJrxtSmwoz/ZpxKBx+vpsJhTrsNBnP6FGLJom3f6uegMeajZsZZstLHQi7B2+/T5I742yl1fMciLs4AHRxwO2xJ/0aVvoMowgC2pvn3Hnx8pVpllc580nfQDlL7dtj6YckX0hyzGeFaFJwgTlt/Qtci3yXUntlM9SiVcVw0WhOKa4Taz2y4bka6fusv/C5a8F2M1xtT9h2725qpYjmJGpktxSN+DsdpMdcl1Ic3Dwj9i5WCpPbXQRjbrBWN9PO7Vv4VS3tewGrrVQhMit2j3N3bQe9JW5m8GL8TrdkNAj57t6zftG3/Fkx49xoc0Y5D0Z3vIxFSNTaTeSQYCirWLjBd2Hrb4T8snE8dhvGoTeK3IQrftr4OBANeqn4sW0gwryHmMckvqacp9xXccRzc8BomLbshruOrnno1sPYtTOv/CP12e8o7fwT6BEFUm74CRVH+N9Kjuv3zdxEKetF09pcV/x4FX3gcmw5tRUnpuITOe4cqF6WhHrht8q7RaNdHPm+j0dHi+TeGW3TFu89Ix5ece5Xrvk+d3ejbBecbb2G/firyr32c1n4feO1HsM6/BaW18tTtk21x6Pd5oTckF0CQ8BLnLk9U9JNfM0UiGAihef7PsP/wSkzteh1Wzo5tq1/CpDNuScnnRfweGVw7pyU5nSh9X3vttdiyZQsuvvhifPWrX8U111xDI9k333wzPvnkE8U+64wzzsBbb70VViUnomekTdiZZ56p2GeMRfY8/03sfuV/ECwWampqBjaN6JEq4AUjmquYTe+tgRNCGrkhoQZen0eWdJnHLUaI/O7kxaXiwetxYsn272DhxjsR8I+szOt22qjYB7kRVDml2KmZCq81e+vrshWX2JTH6zxZRDFecnghW0VvHln9PR0Y+cjK3hqdnhqrBF+az+tkWF9+K1ZWfAU6Y2Jiaib7IXofsGaHEJUcdr3xSzRvXxVRzIcsyMktlRoWjq4j9P64qjji55DvQHpkE0i/YSXpaxWEuXqQR1shEfgCwdmd4xR6zsfCL7bRcmhiG/5ejVjT6RIyrWLh7D5MRaM0IaFGPls4+ORtyPtzAw6seIo6AQ5tfZ8KRI0GWtf+E0u7n0cHiqBeIk/ROxKHNr6GSS8thuoNeSVnRV7hfNeVxJ5HyfVwsPB0+nj6th+h/7iQaSGX2hlnoR85tE9317ETrZJSBecWzmmfIbpaQG/rXizZ9f8wae8jKfkeppx81E0/AwWltQm936kW5tZAHMrwI+Gy99EACiHHqrz4YVfLXoS4E2OmmfOiyncQwWAAnU9eh6XHn0bhm9dTQzzVdDbvQNnfG9H96NmKiMPRFpFi9lSqUGs0aJh3ERqv/SV2lAh18YbDp1aXobREsB999FHMnj2b1lvrdEPr78hzDz30EE4/XRjokuW+++6jxvtdd91FW3S9/PLLdN9EXI0RufXWou6XaGuHbRe8hcBeFarRjl2tB1BceSLyb+/vRBnHI8RzsNbNAbYBRXwv+kMh8OBRyNupN1HqxZhp3DAiD074UjiIjITT1hOuGYyUDtOxfyPmr/kiFedA40Y0nnkbcOZtirWGOpU4rq+Bx28EQoGkrwNSG0Yw5igXxdu76lk0bnsIzcapqL39+aivJU4somBL0EcwRjcUXwNwalQk2Vqr7eBnyHnvPvTrylFzx7+QSpqu+p+k3l/sFYwxXekkWa8nv+O+V38EVcCJust+QiMO6YJEG448eSuWuz4Bjj6CYxWrkVMoRFfSjU+MevVrShCtEs3BmWGCFz6nsr2wXb2C0dKjLg73bjaQY7gfKPUJ3y0WpdPOw1pzIdSGoeKlIxHQCtcMJ1OxP9AnfL8BXTmSl1tSDp5T0zIQ3t4G17p1WGR/B6v2XofGLzyMbKfp4m+j2f4lGIwWVGmSW2JqLUI5iTkkduWIAnFAlIc66Bokv0peVLH6ou9j5aoaqPOrMbGkOq7vRlKFO9SVyA/uhavzADBRmZKiiBQ14lPnEnJBRH1ZcY0QJCGlIc32PpgtyXdN97js6H72VnDL/xuVE5LTcXDri2h7Qt4uOM4SxTkgGOhO3gBHXweONn8GnaUYtVOXQgnKx00Hf9cGbD+6G3VvXg4L58auujvQmF+Mjsk3AJ99inJ0Y1fXEVnZFckwcGQLXZ+T3utKOGR9pGadzFW+9JQa5My4AuvXdyA08eTWcmOZtBjYRC38xz/+8UnGNYGkiD/++OPo6uqiCuHxQAxoohA+vNb79ddfx7///W/09fXha1/7Gu2bzYhMd8s+VHAhOlCV1U3Ffu0klATaYO88NMTAdvUJA+IAl0P70RJI2qfH7aDGSSkZAAb1Ysw0HjENJuhJb6TPYxcMbFuUllsa0TgiAlOM5Kj8ktDjN9lGU26xVRrBaFZ2uU0ERY77Y7cQ8QyKSutNI/9Hjdf9WpHv5LV3Y0aoGUe9qe1/rATN5Rejs38vCmrl9V0lQpendTxFFyX77N9Iq4F9ePPbWOj6hDrY1tfehaXjp41Y59ay71N41/0JfmMJ9fKnAn6ghd47DWUyavJIVoSyBnZgQGifZ9eWhA3sgipBQbyU70ab2xkztZZEyuRGy4J6wQhX+eSN+Zxd+H08ppF7a2cKv6kMRDBa42jHBPs6+px2QurrfJVCCaOOYMwV1oR5IRtixQl7Wg+gnAvCzetglXm+kHKIpgsFtfNEGDBUA869CPYKqemppPGsLwEgt+iQTBEihEbmnJ6jO2CekrzBeXTzm1js3Yj2976EYP0mGp1MFJ+xFHAAKqdQ+pEoHnt3eJ3VufUNLD/8a3xqXAIoZGATyPqtrG4Kdi74HXwtn2LCOffQ5yYuvhbHPv81qvl22I+n3sBG115612eeACXUhAJqMYLtTZ2BvfvdP0FlsqJq5vmoIs6nVDugTlUDm9RFd3SMfDF5vV4ESNTGGL/SG1EfH0mBnPTHJhFshjwcnUIaX5u6AvkqFXTX/BOB/CKMGybmUNYwAwdv2AKvqx9FBvOJusqBLgS8QmqtjTelpWWFHLwqI7wBLYL+9BqxPodgYDu4HDF5+WS0Yt9hkg6cXcmJpy4eh2BcEEdTMguI4WjEyJs+FFssUUr7DvAq6FJ8HQU9wuTq5YxRo5tK0Nt5BK6BLuQW1yTUQ7bpCtJKST5kEeSCAblwwetKc4lI62f0fmvOMky94r8jv852HAsd7+OQK7FUSzlonG303p8TXa3XI6rwKu2MVNmFz/cYTpQN5VrLMAAz8jgnulv2JB0RGwwvGtgav7z/w+gUHABBS3JqxopjKQcp/Sxy7KKaEEGeQ9WU9KiiZxOmPLEnOOdEu89LS2QiYWsTWrG2qSuRmyYhKq+lFnACGpu8cod00a6tRZG/H872PYACBnawW9DAOJIzEw1Jzo36iedgpSEfhtoFSe3H7xJKwlyqHKjEtoy6QGqyFUmqM8htEH2aUlT72+HrlZeJkwxaj1CK6c9RxhHo0+Wh121JqsNSrCyuefsfptl4O2pmKarrMZpIi4F9ww034Gc/+xny8/OxaNEJUZOenh48+OCDtD92oirfjOQJSgOVJp+myeUWlEZMiaKLY3GBvEc3FRxCUPNBWvNOaoj9KgOyZamS96X3YdNoqPJmOvGLtcAulSWigS1FJ03wwBMKoef/zqNZAwdP+y3qZ52bxm/LkCCOI4KDMykqTqExir2rZRjYAb8H3cgDz6kiZj+QHu8eRy/M+aVJRYqCPseQeqxU4nn9q5jl24JVjf+D3LPuQLo0GIiB7U9zBoupT6jH9BQIImuR0IhONn0odQ5Af8EkfObphLp0SuyUwRQY2Pnzb8bqo9NhLKoLP0fO6051OfKCB+DsagZiGNj7Vj2HUMCD0ilnwVpSE/W1KnMJ2lEUThWPRZ5XcABoC+uRTWhFdeWJwQP0/piqEmaFBI5GE+bcQlqSpuJ4OGzdyC+KvLogqvSrSm5GyGBF9CtPOXKmXICVGj00JfL7uieK094LkzlfVoqwkzi0SLWTU4jyJot+QIjQe/OS75lcP/NsgNySJCBm23hUOVAbhYwzQ0gZA7unoxnFL1+ETk0lir78zoi/Oc0KIqnuNiELJpUYvUI6vIo43hRgwk2PkuEeqZJn6+s8glLOR4WGC8UsWGJ0t+zZAMeRTzH5gvtxKpAWA/v999+nyuFf/OIXaRp4RUUFHA4HVff2+XywWq1YtmxZ+PXPPvssqqqSk+9nyIf3CPVNPs1QJwcRU/D7vdDpR16Al3/lzaFP3PlOVv3sSkYh4yHoElKBPZrIizxJ7ImksPp8HuQGelGIARxSx98j+FTn8OcfoWjt92HTloTTxROBDwbQilLYNAWKpGFJ6EyCgW0ixl6M15JUM/7enVFf4/rXFzHNvw2rJz+UlCKnVH/lE9PFUolfLdZ8eeNfAB0/tgecSoPC8vq4WqR4xLTnQJo1GErdglGkK58e9XVSmQhRjRekepRn8kXfAkBu0fGpzQj5OPD+6G2w4oWkV5LbcNzqXGrQh9yxhQnLdvwZDaHDWJdTFNPAlrQs5CRskvmtNNgu6IaUJG84KImxcOj657hxPLLLBZC+OZyUpFlhh7P/eFQDu6JhJr2lk+rGhQC5pRhyrpY/OQcqhHDwqo/DitmRCIprOU5mqUQsrB4hQq8uyh6RyZLGpVij/g3UBgu0GiGzwRhSJuXZ1nkIjRiAJ2CI6NDwm8tpGYfW0YqOw9vh/einCM29E/UzlBdUzvULWZHaPGUM7FTTe+Rzet+qqkSO2AXBMdCDWR9dR51lezsvS1gkbzSRFgukrq4Ol1xycnF7pPZcJtOp56nNKD7BwPYPMrB3vfErTDn6FA5W34imS79Hn9u3+kXgyCdA3em0BoUxMrxHWDT6SMuYCBABGAmSwloqtpswiDVnDPmodUaMCx1Fj3cAyehr1kxZAkzZrKhxPViRnCiU94ZCSYuU+CUFUDECnTBi/VVANH5TSUAj1tkmsOCzf/RLmkq9ovIuTL78+3GViAhR2fT1jCVaFBWi0JK1ZmrU10pONlImkl4XwMmU3fQkurV6NKVQ0Xww3rn3YY2rH8XjYrfozAsJ2ggGi7LdKYjz+KhxFqy+VhRWpDvPKTqklGIwbmvqI6TZipMzw8rb4Xcpqw8wmnA5+1EiCnDK0bgJaXPi0iKIRVFQSFHOKU3+OiGq2237N9HjSVOvE4Q42ySHG1HaJ5h5pyLOSm+3ELHv0ZYjkkmrKp2KgQ4z8eGi8T8XQ8sFcWBtG5ACA7uAFwxsU0G25IdGJ9AmGNjHTRMhWRUk+3WfZiIag3vRselfKLg4uQ4Do4G0GNhEaIyRvUhezuCgtDryHBHJ0NhO1JfwLeuwpP91rGohi+XsN7B3v/cX5Bz9AM5xFwuRjTSR10RqjPKgL2qI6pknYiykRsXe04IGTogc5ceI0DBOpqhaSHQiGQDNAz3hdkDZgkE0sGm2gteVtOBWQGMCKdzn/bFTzqPB+yUDO/UR7KBoYKsS+M4Wj5DGq86L79rwkQj2oFT4dECO7wbrJTC7W1FRHF2VWFKJJ2PAQCCgeMYNSckjbQIjZSANRs5r4sXl6Efzx3+FrrgRDfMvGeJYklsGQ/6HQtH5aLIqa2CT/7n2jheQjeTkFmKXZjImB4RyA21Z9BT/scyh0ovQ7LPBmh9dqO/o7nVUFK2gtC5t2WtetxOdzdto9pNS6tUjYesS0pBtvFnW/JE/7was7zoN+QoYxOQaLJA6xIg18clAhDznfPIF+rh1+n5Fxh6tSfhNDLyXlMQnDd8vrHudxsg1zw0Lr4TntKvBP/c1alwTxocO42BvZ8Qyy0QgHTH2G2fD7CMaJvEp3Udi39qXkbvjMfRbZ6LxmoegNKY+QQ/BUzi0WON47WVoPPQrVBx7AwAzsJNm27ZtaGhogNksLLBISviTTz5Je2JXVlbitttuo/eMzFF94X9jZ/+XUCrWBBJ4vWgUDBKN0HqFSAJvFAQLdr/035ja+W/sqLwBnKcPTT3vYWfd7Zh80TeRDah692G2dwNWdac3OkFEe+QI92yqvJUUJMIgeuaJ8I8hgnI0I3pfzuMoQAl60dOyC+a81C10EoEc04OqOnhVJhh9nqgLpIOb/gPLlkfQa50RUVlaijhzooGcMGotumBFQK+M4m80QprEv3NRQBDINBTHlyTrJ46DQGJp6YlCxFwm3vgnWa8drBJPFp1KKS9LdDbvxPS3L0QnCqG6V4gopJOu5u1YfvQRdB21AgsvS2gf9r5O2p2C1OEScbRY9B0/itC/b4MKQVjv+gSjFeKMKL7zPWza9glcrdtQNTH1acjZipwWfySFevKHN1Jn1c5LP0RJtbx2fsnS07Yfcz66Br3IRXBq6nphu3oFA7tXVYDomvsCpBsMyE0BnLZelHIkTktasCafYTe4Qwfp3JGogU1Kw3y9LcirnwNTrrAmJT3tbQo4K3VO4ff250QuVdWIqc9kDefi9fSzCd3NW5FbcD6Ugvwvtbc/ByUJOrpomdmWgdQ416W2mvryoedg0fQLgUO/Qm2wGb0pcCpnGyn770KhEB544AG88cYbeO+998IG9re+9S36d1FRET777DO8+eabeOGFF1BbO/bz8bMVsrAbvrjj9MLiTxs4sSDW+8V6OZMQIeRCARTADpW7FzpPF414g08mSVdZQklEzdJB0xUP0vuDm4Ra9h5VUdKtpk5VOrVVKPH3wtm+O2HV1F1v/wHlR/6NjqqLaC9XpaDigHevlvVaX38LpgR2YKstctp2SCsZq8md15Mv+Q6A7yAdyachneBUUA8aT+SmXJfxvTR6klcWXy9p3XkPYZvfhxqFvP5KQ1TiiVo8zWxIgYHtFbsZ+DktImsvC+xf/wp0u16As3g2Jl/ygCKf7+rYHVY0Hp5mefzoHvQe3ABdXjnGzY4czXb0ttP7fs4SVUFaQq3RYmJQaGnTEWMBR6KPZHGvRF/ZVFE3/XSA3BhRsQ90o4QT2g3mpfF6l8o8TLyblOOmDP+AcB0MaItkGdhKYsqxYtflH8Fj70W1Ap0tyDXp4I3I4dxw2/uQJ7Z8jRd+65NY4vwQKxz3o/C8+7Gi/ttQ6c0YT5O2kyPHLWRNcfmx7ZKJN/wBx+3/A9ez19GME78jdjvOTEN+J4JOhvBqvFBti9BxOmdbSodmcRIdFS+vhZ7zo6f9YNocYZkiZTPLO++8g48++gg/+clPUF4uTK8bN26kxjVprbVixQqsWrUKy5cvx8MPP5yqr8FIEJUYzdYFTyyIjQGhVlstGti8QfBEan19MPqF6LbKnEXpuVphEFEH02tgH921lhrNJJoiB1+/0CrGpmX114nSnyekUGrbNia8D9VAM1Xt5ZxCvVkm4EXhMUkULLrjKH21xcnCiQa2Js5rsa+jmYqikHKKvIL4BF5KqhtRPm664oZrNFr3b4bbKYyTsSCGXfP169Fy+x7kFykv6ukTF3pOldDCJhqB3iOY614Nc9dWxT6f6xHaP9rNJ2cedO98D0t3/TfUnz0edR/ufmGh26+SdwyNOSde5xa7OUTi6EvfQM6fJ2DXW7+XtW9GZiDXE2nz5xwQHEYjYesS5loSSdanUW1dMrANnB+BQCwJy8QJ2QUD262Xt0Ygaw9SIrfnoycUMYiJ+CYVdFMIBydmtCZRV68LCC4NTp9LW8NOvvBrtFd4OLKcBIUB4fc2FMrtp27FgLEGzVwVFeRU2mBVGpVemI91IWVFLQk8eOw972WsmfV7Wq4x5HNVarSqhXnc1i44QscyKTOwiSF9//3349prr4VOJygjv/322/T+G9/4BjQaDb2RKDcxtP3+1A1OjOjsfv3n2PPid9F5RIg4DO7daxjk4coJCoOhLkc0osVUcZ1/AOagsJjR5mSPkciLkT5NIL0GNrf2YSzceBc6PvtP1NeRdkvH9qwHp9Ziu3Z61HofRnQ044QuBHX2zQn/VBpR7E/qpZsJpBTqoJhSnU2Oo2Qw1czBqqLr4a2LL3XO3nmQ3neqSrI60igthGrfuwmVT0yhhrYcSPSGlAyk4n+TuhlQxe4YhDOWBjlUkyXHLhy7YMHJysMqg1CCpBcXyZEI2DrpvV0jz3FLFtrEGUNwx4gkWdytNK1TciYzspO2l76GSS8txtEVf4v4GnePaGCr0uvgN5pPXFtemY61RNC4xD7IBnk10P1t+7Bs/89Qu+cvyEZcKmEO8zuFwEwi6INC6Y/UA1vJcbxLW4WjXAXyyuWrpo+/5e8w37MeE5coq0908NM3kfvHenT8LXFBuOGowwa28i0iiRFdMWE2Jp521YhZR716QUvF1yU4YMcyKUsRP3z4MO64Y2i/07Vr16K6uhrjx5+oiS0sLITFYqE9scvKYtdYMZSntuVV1PKt2Nh7JlDbNKR372ADO3eY0rXaZA1HtnNDgvGtz1NWiEaJNBhNUHkvXTS0oldQJUbtItH+zs+xpPdf1PAo+8pbKAmlqlnP2Ke8cTH2bp4Ah7YIFT6vrHTS4WhFvQFep7yBffgfN6PO+TkOzP4RJiy6MuLrOF9sA1tXNRNrHJchVB67zj8a+569H1b7Hthm34+GeRcjlVABoAREgHy9Qi1Xn6487tRIUqPn2f8x1OXT0tL1oLezGY2www81imvS1Yk3MrxbWLx6tbHPZ5XUR1ZctCpBifeIsM+yk4sQNOLn6WO01Smbdh7WmgpoK554omNG+OB1Ro+OFfmFzCFD0anYAGv0EB4LfZEdin5xnOjXVyJy7w7lIQ4d0utXxwUFHYUUCWwGi6fgU89xqMpnyPteUmtI3pV0wnTzto/h2fMOuIrZmLTkOiiBW5UD0vJD6mWdCHpxnSUFg47uXAWfvRdlTYuRk5d4LxDi7JRa0KZe/jM2QY+dplRzCpZfaqXMC155AzsW6iX/hS2hr6O+OvNz5Kg1sAOBALTaE6kanZ2daG5uxnXXnXyBer3ecJSbkX4sRCGSBsZOpNfpcwpwhKtEv7YEFWJrBYuodG0W20Roc4RBzByyIU9UmTQpoDKpFCpd6upMoiGl3UgGfiSCRmEy1nqF1Ld4evwyThaXMt/1MYScisTQiQa2SpywlUTnt1MRtr1iVDESKjHbgo9iYDfMuQAgtyTJs++nNWOr3amLvCSLuXoWVtluBm+Nr/6a4D68Fss7n8A61/lAOgzso9vpfauqAmaZwj0ke0jXvx+6+V9RNAWToPIIBnZAd0JUKBK6nILwWK6U8m0ZL9Th5VeOYGBLBkAoukGfX1JNb/G2dSrm+6JGx5z2PtShmz4ujNFOjZFZwgKJUfQbNAOCge02p19vwcUZoYMDPlfqxtGmc+4EQG7y0IlRXVIbnmxOiqt5A5Z3PYMN7k5AIQPbq84RBCjd0cs4oqHn3UOiscUrvoUavg0bjU8hJwWtsjJFyCOsz30KttPUGoTfzAg3BOUC5Ti89T14jn4KQ93CEXuCV02M3ZpxrJAyA5vUXe/fvx+NjcLk+skngqLn4sWLh7xu9+7d1BjPz4+9CGAoz0BPG8bDRlVaCytPCA6U1U0B7tkA0yDxmIM3bIFroAslomKjwSIYiJWhDlonKbdHY7pQiYOIhld6CJHrWY0eweZyhN8q3yVEehiZRYqmqRVOOSP4SI95H+mRbpdlYEtCZqlEx8tzBCkBcdD1dR1B0OdFWf002e+rmXwaQG4JwGnTm8Hi7xRKbLqM42RH2wvaV2JqYDtWd54BKGxgq71CdCgodoSIhpSVlBuykQ5wSWPv70QZx9N5xTJC7fyJCJsyfWtPio4FAb8r8uK9+8gOkOpA0n3AooAyMiN18FJJTJRSL5PrmPDa/KE1n+nADQPy4YDfk+lu9icwiErdpARiIOBPqi5ZctT5dcppWbgmXYUV/fORN25BwvswiPOXFI31kraMPBCIMcemigMbX0fp5l+iyzge4774pHI7Ftvo+skaQkEDm2Re+DnlTUDvvvewrPt5rHJ3p6Qn+GgiZQb2WWedhUceeQR1dXW01vr//u//kJeXR0XNJBwOBxVBI8+psry+bqzSdWgzSMJ+i6p8SD3RSGkzpFE8uUmQSPZBVT1UfBBOdR60vBcFKeinmih1s85H24wDsCqgfBkPUtpNrLRGfYGwGGgM7sX6p+5Awy2PpeX7jWVI/VQwFExoQWEUDWypPEJJAqIwGcQ672h4eG3YOBxxXwE/nANdCAb8KCitTd4RlAYD+/ix3ZjxzsXohQXBe09oPaSUcIlI8hksez58DIaSCaibJtT6j4ShV/i/3HnjE2glprxgnb9gErZ65kNVLJT9REPKPMrlXGhPsMRiyP4sBdi07Fn4nT2YMMK1qDcJc42Z9yDaFbF39QvgfS6UTDlT9rnu1BWjgyzuouBq20nv23W1NEOLkcXoYhvYzknXYFX7ROSOS387s311N2Of343SgoqUzWnEYWXJL5Wt1WAYtJbzOAeSSpnWiO1ZQwblDOxJS29Ieh9Gss7iTkRjfSojTTtPdizd/e6fMPnAX7Cn8BxM+sJvZb+P9EIfFzqCgCd5kbUhiG0mA1HWBPFSUFKDgftSE9jReYSxlzcWRcxu2vvu76HpP4zaK38JvTHduvhjwMC++uqrqZI4uScQA/pXv/oVDAbB2Pn5z3+O1157jT7+5S9H7vfKSD3+Y5/S+w7jRMRbiZZLIhN3r6KPlfOtKYdgZCk82MnAAMHA1sWIYFeRdlLrhMcaf/Z4v0cre5/7Bub2vIoNtXeJLajiw6MyoT+YA92gUgmlCGqFc4HzOWIKpRB/dWMU5dCWXWswb9VNOMaVA/dsSjoCECvTQkm13VgG1XCICKDenI+C0vq4jT5JA0GXZATb47Jj/J4/omh3Lz7n/omCqkY4etsQ8LnhbN2JhqU3QqPRoc75mfB5tfIX+ZJaPJ8CRXiiqguQm7wSiyDPgQcHp70n4dY5EqT9VTRnhGRgk9pC0oqN1LKOROn2P2NC6CDWmgtkG9hSz9iJ0V5kE/rcOkzZ2cKNMQjxOtZGcZQJBlvyRlsiTL7oWyndPzGuG56bR9sb9d61T5bzmFx/UjukZA1sna9viKhttvDZzJ8j5HOgThyrfJKzMsYcGxN7O205ywXjy+XRWYRMmJygsqUCnN8+pHuIIvtMYUDT4BPL4MwjZwYRW3DW4b8hl3Pi85bbqSDaWCVlBjapv3788cfx8ccf49ixY1i4cCGamk540nfs2EHTxYnSOBE+Y6Qf4hmt6xCU3T1VJwsQdT96NvKDPei99Hm4+trh2/4igsXT0XTuXRn4tqMHk+RZFY2KaJPgmvzLsbj/VfDz2G+aLLxKQ9ulqJyC8nC8WO/6BKSXQSWUh5f6QMt0pESbAKXzysi7kxKwOREBSL2K8mCDiqSLyzWWJ31wE8ycB9svelcoW0mo12fiBnbz9pWYt1JYuAfB0cjnzE9upL2rJTY3vwPdWQ9iGnrg4zWomhzZsIwk4CSJ22UK0orn2K2fw2TOR14assmMOflY1fgjqPS5GEdOwgjkSOKZ4uJVKbjCBmweOA3B0pmK7pehPJKjTJtmsdJswdYtiPE5OFNcmVnk9XoMwBdD7C8WxoDwfpVZOQPb5ehH99Fd4ENBQQAzAYardQekGuUkI9hat6DYHjTGV+5osAhOjDzeBiVVf6Q1A68bHd0OcgKCQ0ZjKYm4tmnXVCI3uA+Ojr0AM7ATQ61W057XI/HMM88kuFeGUvR3t6Au1IkAVKg77fqTtluD3ShDN9rsPXAdWo3l/a9jg58MHXeNaKxnWxsdMoh3vHQ/rcGsuu35tIiIkd9h/YRv037GDTK8xuOueRh7+76NuiRSfRkCIXMpiG6RXpwgswmp9ZdG9EYrIlDCexKeyMl5ahIzLfSm1E/cRtHAJhC13RwZBjaJHBdzwne0FMbXA5ugER0HkhhOIrj3vh9+vCHvAlTOvQJ9+/+EYpwQ0JrjWYetHhdWTvg+uL4DaIwj5S0oRiWk9mxKEo8jQ4piK8Gu13+B5cf+iA05Z0M1+/YRI9nEUCA9a2MhiWdKeh9K0XjGbQC5MbIeU9kErDt2IfzWCRipz4zP60bbvk0wWApQVpd+wTrSc9rZ24GcgvK4Bfni6Wdv5yxxdVLYO/chQRG7LDmVfHO4PWviUfDhtO1YgUWb78V+1Thg6kpF9hkgEWwFsoEM3i7hQU58XY3MopYDcQj3e900gKIEgdx67HBNg8qqbLeDQ//4Iky+Lqgu+A1Kqk/oLyVLXkiYGw1ROgr1G2oA5z4EeoRWjmOVlEWwGdmPtaQG/fcchs/ngdFwsqiSQ2UBQt3wObqhswt9Jr2WoYbgvmfuxeJ+IdV/ZeltaLr6J8gWiEG9wPkRfXzM44IhDYYEmdCazrtX9uvJAjiZOlrGCdS5ghFm9okTZBahtpTjkKoGXmP0NnaHnvwitH47tGf9KKIYmM4oKYB64QgFE3Ic+f1e9HMWaqRL+0sl5DyXUha9LpuslEVbT1u4Jp1EVuNFK6rLJtOKxGg/RO9XVN+HyZd+lz5uOecJFL9/OX28wXwm/A3no75+Gqoa58e9f0nMTkUdl8pi+dtUcAih+bK3FF1ARaOn/RA1rgkLHB9g9U4rECVVPBpetxPFnHdI5wo57F3xNIp2/wNdBfPQeO0vEvpsRvZA1fWjCAD2dTTTLBMHb4T7vvT31u1764dY4PyAjhH54hihJEGv4JT1qkxxGdgTFlymyOdbSHvWQSnQSmAQ69WtoZ6EsrCc9l60bP4P1OZ8jJ93yRBnZbJjqcUv1BBr8uJz6posVlpmo+Z4qpGiKxH6PSdL02XfA/A9KN0At8b5GcrRjc02sl5SZn4IhYIoFNv5mq2Rfz9vbh2IvL3eJsyvYxVmYJ/iEINQP4JxTXCrc4Vehc4eWN2CSidnHarSyYUCgx6TBNvsQWcwURVbonDucdnSYmAzModenBDzgkLbs3jV9IP/uhFelTncA1NJJi27AVh2A05uWDSUescW2s5rqzdy1NUgRoPJee1L0HFEvOv8vTtpBDxdEiMuzgA9BANb1uv7hVT/Pi4fmgSyY4pqmrD59OegNeYh/vi3QIFHcCxqiycOaTOypvv3QNCHiUtPzvyJC0khWQEhtuHR6xyxraIhR56mwO63/wBT+1r4mq7BhEVXJfS5x7e/Fz7HiUK3rklY/EZq5+Lr70DJ1LNgLT65MMMxIDjK/LwaJrN84cGQ10GFI922vKhtusg+sy3rihE/Xocw3ts5c0YWtAHRSZaKLBRCUFQnpyJeGaDzijfRbOtCSZVyTjpLoXC9F/A2dCYgqtjXfhBLdn4PXbACooGtbboYK9vqYK5Lrg2UNSRkDBit8elQEEf3AGdBAWy02w4JYGUzYdV1UURNCRz93SgVy6cs1sguAVVhA9AO5LmE+XWswgxsRkQ82jyQotSQqw+lfkEUxlgyVCE3kFMBSbWINymbxpcsZMBzQw8zPPC509O6gSzcOvauoz3Fa5oWpeUzGQKmAmHSLgz1wh5nyYLHMYCpwf2wB4xi4nRmIHXVser3R6vjyA0jrLDDL/Na9NkFA9umtibU35z8LjVESDCJNPqKYCs9HrkVQ5W4J56WmAE6nJoz78I+z62oylFWud5hE6Iw5DyRm/qt7dqGue7VWNlJat0T/P9cglG8znI+FeyLltRYsP4nGB86jHXmP49oYLtpZAV00RrPtayxCAu7HH9PxONa9uRsqMDj4JUfoqiiQfa+GemHHC+3y0YzGkY6T3wuISXVpbJA+QaLsZHEp1JlYPOiaBftOBAHzds+hrtjL/Lq5yclJEWvD4WvEWJ8kTZROi6IgZ5WFJaPi+v9AXEO8XAGSPKI42adA5Bbko7JUjECKzkB4qFDUwVb0IZQMLuCTSPhJQ6bIGlrptx5a8rJx9ZzXoHX1oWGKN17zOVNwA6gIngM3iwsL1UKZmCfwhza8h40W/8PjsIZmHz590/a7tcKaZnmzo205pCkeJaOGyoKw5G+k0ImJ1Rx1qykAzdnEA3s9Kh09xzbjYUbvgKiQ4kmQVWYkR7yioX6NyPnQ6e9D+Y8+Q4fyehzc8YokkupX0iStG+CPkradiYcR0pwoOIyHPQ5UCC2hIpF0CEYiS5NfkIGthI0X/k+HD2tqKqU33orHojxa06Bf8Rtk6J6JipgJoeA3goiYa/yiCqwCaByC58bMMS+9ki2CMmQkiJ0J223C8ffpspFPD+RQYw8SbWAw/G4HSjhhAWwOY/1wM52eo8fRePLS6iA4MB9zSdtDzqFfududU5GDGw5fbqT2r8ogOhXx5drFNryJJaR1HXPfVmn1EzmsH4uj2ZruQaOx29gi1FXD2cMG9hKQPRBdummIifQHzUCG4niO9+j90pmhbn+vAAW3o4j5zxFs6eUgmZEBAFewRaRJBOhauK8mK8rrhbynPLgxMH+LuQWKJ0Anx0wA/sUxnt8HxZ41mFLz8hVMEG9YGCTqAZhl2EWqoZFy+oWXIm1rRvAc0DtfKEuMZsgBhP4fgQ86TFEAuJikaTfsIsrvZBSh23ambT1kcXniWuS83tsYY94KhLxutsOwvjqjfSx+Z71I76GaCFI6tS6GFHpz6zng+NDKNKPXN4Ri7b9W6D56HuwGatppDEdNF3xYHxvcAsGkpdk0iTIrjd+RRW6a8/7BvWuxwPxqpPozWiMcEppszYuV/YClDcIbgyNVzBYEiGYU4HdtibwBbEdEj6i+kt7gI88NhfXz8Za3x8AlTouAztHrO8s4PvRHQic5GDwiAZZgFfBkAb9AUZyGMRsHh0XGLGlW1AcJzykpC2Dfbo1gdREsDWFDdjUvRzekllxvU/qmxyrNWSsecK25TmgeDIaz1RWFNCuykVJqBc+0ZEWD1Kv68Fp87beTvQc2wm1zphw9iDRBsn5itBZJ1vI5/upIdoaJSKcCDQjwq9AW7ME0BtzsOWsl2AtH4/cJFrIZTvMBjiV8QkLG79m5EUGb6nA0a4K1PBtNNXQOUnoaT48DXPCTX9GtuLjDIrXmcgTJDGmrbaVcYJE66eDYpoUcYykwsCmfZL5FiqC0hMhJcrrOmFo6GP0pp54oyAklSjugQ4sDOzEIWf29l831C3EKp8DXFniysDzjzxKMxp2DdwYt4GdDjqP7MbAmr8gqMtTVCCSCFNKabOyl2UmwcDW+xM3sCdf8gCAB0j+jvwe4BEMbBLVyF10ZdzfwVJQTucr4qxyDBw/qae3pAHggnHMpiaOJQZn83jdjpMMbM4jnK9+bYZKZcQ2YpoURbBpOUoCJSkhrfC9VDJbQ46E7egWLO1+Dp/bZgEKG9guSeNHVEmPh1A4qn9itm7f8QGWbP8OdmimAU3ZZSQnk9VmFsvGpFaXSiGNv1CwtOHwZx/A3bwextr5qJ91bmzxwjEOM7BPYThxYRPQjDwxNZ1/H4D7QCrhOpp3YkJNLImmLK0zCQGhCGmIShMSDbVMCZIwEiMoenFTddwMonFHFEa9HueIddNeKU2d18lO602UoOhwIg6FdC1LiT6By9YDgzkPFrGlSTTqZ5wJkFuSJSJG+OBzx7+IOLT1ffj2fwB19fyERb9ifr+BDizu+zeOcUSGTTkDOzDQTu8d2iLZ6fVqs2AWm8S+t6kmINWuKhxBIS3A+rhcFGIA9p62kwxsvzgXkHODmdfZT6wOBFLtczBDBrbUp1sXSo2BnSghsW9yMq0hQ/YOeu/WK19KMTDhC1jhOB3W2pkJR7ADg+ZrtXQckmjLmCy73/odqo78C8fKLxix7DJefF5XOKvNkEAnjWgENSaaxQMF68W9+z7A8q5/Yo3rOBDDwD4VYAb2KYzk2QyJA1M0yuqI8M3ow3TDC2jR6jFB4fSaSIQSFCRhKEu8fdmJ8nA4bTUF6A1mOpmRydLj6B/RwA54nbTOkCz8Y0F6v5I+0SQtPlq9dswUuzSepx2v/BcW2t/Fisq7FFl8yBVWIyqMUulGPHgPr8GyrmewztsHpMjAlnp1E3E7Xsn95pZhi34BnEXy00p1OYIpbg7JU3lP9roLihE2LkKEjWiE+PpbkD9uftz9jY9rKuALaBHwuiLqLZBykNRc7QylcXN62oFgJC0V7bjlWKnSQVsTu/YzFeRUTcWq4zeBLxineCslaazXaHXxt2OUDOwkUtc1TkFo0h+jvWQiTDrjloTfKzlVApoTV7DaIDjs9KHEDezdL/8Akzv+jV2VX0DT5T+IfweePowLHUGHoxVK4HIIzk6SkaN0Ocu4L/wRvaStrIJZPBqPkDkVNMbOYSLje2DPmwiVTkfjWV/CWIQZ2KcwatGzyesyVLuUBswWeS1qFEMc+MPpN4y0cugft2KGYyU2TvwOms69K673DsAMX4RsjmQhRoeTM9JaKqEGVBBkG0z5uBlUxCcQ8MccmLueuh4zfZ9iVeOPEpqcwsq0qvSdpyf6lMpb8LUd/AxqjR75pbURWwnGwqsyCGmICWgwaIgXni4u5fdgjpdwT3PeQ1umKcXExdcC5BYHhlwhSkUEdXwJfCapj8372xTYOQucN7yHXGv0340XDWx1hPOB2/Y0ljo/xkrX1+I2sIvufJ/eD20qKRAUzwWPysQM7FGCGwbkwxHOPhhMw9wLAXLLEJXjZwHkliLa//lFzPWswcrx/w9N590j+30qg7Cu0wYTN7BNbsFQDJmzS8A2d8oFWGkuhr7wxBWuEcuqDElEsLWuThRhgHgKE3o/r89LOmtgMF5RL8KRgnKWVGTJ6X2isKQptoHtbfscy/r+jY1eUiLADGzGGEMreTb1TOhFMcTaoCCLYGcEjg/CwPnDBqRcms65E75z7kR8Wqbx4YKJGtg+10DMFNdYBMTzS4pEJ6pMG9SkL4Id0sZnYOe/eydq+VZsWPQ4xs0+N/Fen4NS4uPB4BUMbOSkTuFUJwo4EfV4RygYf5RKQYqrGnHk1h00uyKRpVxv+2FUcF5wPKCSIVxjmXIRVuZVCS1bRkCqBecUbv+osxTjU8NiuHOqM6ZOz0iwZ2+aSr2yCZ1oIHPa+MZqycA2JGhgez0uTPJ8LrSsGrcASuMY6EZvy26o1HpUNc6P26lBHRuD0IazgTxiL474MUpjvjmxMV9lEAxsXUAZA9vnFvUiSDcIZD/mgFBPrxZbJUZDZRGcNmZf/CJ3owUWwT6F0QaFmIlK9LqNRfZ+8jS0Rz6Ev+bMpFKS5GKaeBZWaAzQlU1O+WcxTiYgpZ1mQBkzFm4SLQ6RFNXEU3AlpNS4RHuvhusW05hpIRnYapkpiySSStBbEjewaAp8MDFHRI5fmPg1eUNreJXEIArXkJ7mPo9LsZ7mbqcNRnNu3BGNZITgbB376H2HugwWGdEWuqiOsrCWasE1ChvYtVOXAuTGGDUcK1qOdk83TJaTHTdEH4YPBZFfWhf3Oa8EJOOot+0g/F4nKifMUXz/OjHlWaWPTza1ZPx8rA78Evq88oQcSS07V6CK86ITBaiaGJ8BLGv/m9/A0t0/oJ0/0JiYOOlg9OLYaYIHngR7K+f6u8Qxn2hixI/KKDk1lFl/qDU67NRMhVubj1ooy8HNb0P72RNwWpvQdOX/KLLP3KAQwTbIaMWpyxf6jOcGhY4XYxFmYJ/ClH3pdbR43RinHg2+scTgO7dhgeMDrO4kqeKpN7DZ4i2zSGnIiRqeqaRXXw3Ow0OlHnnYPfjpW9B9/jjshTNj1iiHMyQS/T95QUwtqE1jKUMcNYGkljeXd9DoiTE38TYeUgp8vBkNBKs48RuswkIgFegMJlpfRwxsj8umiIFNfrviJ2YiCDVarno37h6ziRLoPkTve3VVigjnWUNCNMSQH/9id/fbf0DpkVfRWXUBmi7+tgLfhpFJGq/9RcRt6ne/gcmBXVg942FMWnId0o29tx1T3jibamz0NjQrnsoriXapxQitXPJLqpFfIrSGTARf92F632qYiOoUqO1LEXbJgRAPzdtXwu/sQUHdLBSW1Q0ptyE6J6TlZbxlRcRRUhlso3NOXsWkuL8T/Wyj4KA0hpQxsKnDZsI7SAX+gXYs9KzFZz2JxvtPnncK+AFhzpYxZuvMQvmmmXcSH/iYhBnYpzBkItAbx3YzKT6clppdCp+M1BCrrjMSu1/5MfK7NsLedCMmLr0+Jd+t9vbn6X2kggxf90Es9KzHpz3qONKtEzuvSUsoB36CSaHEas0SQSWWokiZM9Fw2ftQIqqnmvMSV7DVLP8uNrntqKycEPdiq4TvF9IjC1JnYJOUcDf0MMMDnyi+lSz2gW6UcEIVdY41vtrJfc/eD72nCzkX/Cxuw1xlO0rv3eYqed+zvwude9YCahXGz7tkyLaAz4tScbGWU5TA7+/swqTgPnQPnNz5IhgIQKVSsRZdYwRJ1EoTZ4RX6TKPRA27WBhCHnqvjdG6UWkaz7kLhxdeC7PYGUVpNEmIkqk3/B7zvBuw0vbfKCy7mz5nMOZiZcVXwOvMGM9xce+zu2Uvyjk/dTwXxTlfjGQ0KilamVr1e2VU113OfpRwgiJ5bkHseUdqO0bakCWf05edMAObMbbRCYO4RsaiXgna9m9BwOeCtXKSrFZEDGUhk2s8acgSxv49mO7/DCvtZ2fskMRTF82LkWdVEgqxhHT2AeZEA1sn41p0Dgipek5en9SCdXidXjxRqXKOp1Ep0lc5lTRf9ia0ehMKC5RJRbd1CYZuL3Lj/u0a+laiDN3Y3NcRt4GtJWrrxPljkjfu9RzZjkWb7xValA0zsAcG/f5yFmvD4cVaSO0IYkP7X/4eFnW9gHWlN6Lxmp/HvW9G+gmFgvC6ndQxMrxrgl6K8GZIS8YgGtgEr9jZQdH9Q3QgxBnBJk6qgxteRshtw4Qz75Cl7TF8bqAt0WToKSSCRp+4KJnUEk0yEqUSl6Yrfhj3vo7sWgdH50Foc4Rx65imBtYEtTCMlgJ0Ix/9KiuyvfBSrTclrbo+GL3Rgq3nvArvQCcaZCieG8zCL0Ta7xGBzOH97ccCrA3kKcyRx6/HwSdvo2ITYxYx0qcJpqk34ic/wpxPvoDWza+n5/MYQ+DECTde5dRwVFU00DPBSK1HYmVmaAKjJzPDUjoBa/MuwfHKc2K+1mMXDGwbl5netrkFFdhz5Up8ftYLKe9JXlLdCGtJjWKf4+49Ru97VPEvjD2iKFzAE39MQSfWTHNGeZ0bNGK9opE/+Rx29rTQ+x7OmpDwGyeJDY1gYJPsFhJt5FUsvjBaOPjsvaj5x2Qcevt/T9omGWjaQYZuOiHXLYl6ErwKZaEMxsx7hkTK42HJtgewbP9P4XYIgoHZRFj1G8L/Fw9aMaofb136cPZ8+iFmvn8V/Z048HDxenRaE2/3RpyS/L07kHf3KijBrjd+Ce5PU7Dnxe9AaSSHlOSgShbiwKmaOBcN8y6S9XqDaGBLmiFjETbDnKKQ3opz3cIg0Ezy8MYokodTmyYDWxr4pWgdI71oC6qxUzMFTktDfO8Tz49kJ+xo7H7rd6hpfh5Hyy9A0xUPnrSdE9O9Q2IdeTT0pU3Y0H0WPKWJiersef5byHEcRmDefaibcSbSQcWE2cCEv8h6rc8u1N86VLlIXHYLOLZnPRwHVkFbNBHjF14W16KZLJbSVb+sJIF+obWOXVsc929HWleRgrhAAkJ8Dst47Ay6oC+UJ8ejFwWpTLwHw91hhVVNWDv3T+CDPkyM+5sAapPwnxuCIxjYolOKHxT9YmQ3wSiijkQ1mixh0p1CPRg3Z4ARPsXKPAZH7rebFtIMvHxzfFezRqenhr+R88HjHIg7o27/P+8CeB5F5/03dQAqjeQwINe/LdGygGHHvP3QNngdPSiunQ5zXmxxxL4tr9H7jabTUT/rXOyzvISJ46YjW1C5e2nbMC6YSOPE6EgOKeKgykQ6u0ajxfaL3oXenI88GcdqNDLmDGye53HttdfC5xt6Qt5xxx249NJLM/a9sg2hF+/JnqSxhkqs81GqziTb68FOdWgt57xLEG/nYun8SGmaoXcAdXwL2hyCATQcdcA9JP07GtRLLNNTPBLF/Z+hMbgXa5zZqeBpLqnHytJbwRsLkjKw7ftXYPnRR7Ch+2wgDgM7nex+7y9Q9eyFceZ1qGlalPwOHZ30zmOIv3+3l6jKU9X1+EV6Gq/7Nb2X+6l6ozDvmDgvbIHAkAg+WRxPWJD48YomNiSVC3FiFggj++FFp6NqWMYOMUDNnHeIinQmcINkftgUbyNGsjdqb38u4fc7OSM1/KV+yvEws/99em3u9H4TqUAysEmKMNG8iCeF3SBG9YcLv+W8exemh45ivf//0DDngpj7MfYLnQ88pXOTKilKFSq/cD6FRG0ZJZEcUsRBpUQeXPPnH8F1eC0MNXMxbvb5st5TVjcFY5kxZ2C3tLRg27Zt+Mc//oH8/BNLs9LS1PUyHY0QjybByRtSngKZSdR6cRBPl4Gd4XowRmJIaYZSXVgq4EUV7XD/+UiRtTQs/HUZOE+JyqjD1kOjPLEiw+XjptNbskhGVLwaDCTy7dz2KlA8CY1n3IZUknv0Xcz0foqVrVMABQxstU8Y24P6+F0TfrXwe4U8yqe6DscwqKUSmY/kRJwSic6ctE0ysJkTdPSgMw0ZIyVIXfbwlneZwKvS0xaMgTRcN/Hg4HJRxA/AaxP7O8uEGLzEuCYY4oycy8VkzsPKsjvA60yYECI60vINbKNYl64bFsH2iSUuQZkOwhK30PnAUK5cW9Vjj12NPF8HnOf9Oek5TCNmbPApmKclh5QefjhCwYRKcQbj3v8xlnc+gbWOSwGZBvZYZ8xZVvv27UNOTg4WLVIgEjCGkTyaDs40pgvxq6YsxcG6TdCL9X6pJtP1YIwTxlw8Il6SR1yTwuPG6WMY2FJ5gcw6cCIM4vO6YLbE3+VUHxIWT+lMq3TaezHuGSFC0P7lgzSFMdVIRpQc5fLBOI5uxbKuf2KLbQGQYgPbL/UiF0XukiVYOAlb3AvBFce/aPRrxPPBZ0/p9UbQ6Y3w8WrouCA8rqEG9tGdq+Hq2Iuc6umomhh/TaTOmAcbb4ZbZYY5Yl/hzBlkDGW0VDiOw6qSW8AF3JgoijZlgmOVl6LV04f8ImVTqRO5rgbTrysFvMfg6z2SUABmuCNMScj433RVYv2Xw2UBw+Zrn8ooOwPH7/OigheyffKrlIuklnibUcV3YJM9eW0jrdhPmxOd80qSay1Dy+176ThMxAOTReMRsuEChsK42imq+w7ANPcWWr891hhzBvb+/fvR0BBf/eWpiN8lVL24OdNJC5CxBBk8yC1dZEM92KkM8byr/joXVr4fLTd9KrvuLAQVgjwHXZxKrfEg1XdLCqgjtfFq83kwXsa+ju5ehzkfXYN2FAH3fhb3dzEmqEybDENETVw2WHTFUdX4NXoTCsrqkzLEpdZg8ZaISIrucgTnkiWgTrxX90g0nXcvAHJLvI+8Ks7vQtqqVTw9BzYuB74vfypbEdbFGaGDA15xPpJwb3sZS3v/hVU9NwIJGNiltU3w3rd3xLntRP3mWJ75xhaSpslwRxnpG994zUPINJMv/W5K9nts7wbM+vBaHFVVwnzP+rjf7zRWAt5PwQ0InQXiNbC9vDat6ye5Tof1k/4f4HNh3LAWjtRZ6SdjaWyHqmeQsJZFQaV0KhTJA34Fshmk812Vgnla6Ta9Oq9gYPNm+bX+BcfexlT/dqxumwcwA3t0GNgajQbf//73ceDAAVRWVuL222/HlCljO9c/XgIeYQD1jODhZyRGttSDncqQOi4976FRMUdvu2wDW3Xv5+gJhZDKxmpSOrYkhDcScg0TKTXOCA9ZT4wKRxA5Nh5eCwPnpwZVtGOj++g7aArsxuppv8SkZTcm/ZtLKfFy4UQDUzJ+U0lIEnASa/AzSfWl/4Nm/keYGGfUymnrho4LwEQEc+Jot7Jt4jdIGBJVhUN7XUtt9lJRLtFumQa7uwDG/NS2X2Nkb8/e0ULQY4eKIxJUiQnRBi1VQD+gc46s+xEJn1RCKKZcp4rOI7upKFlhzRSYLVbZhmHTOXfGcFY6ZesQESE4JbOpvCozLRdIRMdiOHqpHZkh+7NtTAGhTaM6R76zwkdKkvzkt8qu0gqlGJMp4jabDTfffDMuv/xyvPXWW1T07KmnnsKcOYkp7mo02ZtErVarhtzLhRdPaJ/alNX/X7J4PU4cevHbtHar/qa/QpvCtNRAIIBVNffRVM+J+YWK/K6JHt9TmX5VPnJ5J3z2zjiPQWp/Y53odCFlBNL3SvT4GnMGKTDHeZ4FAwGqLEvfb8lN6/VPIpYG+BH02qN+bnGgjd7nlI1P6vvpxbpMQ8gT134kMaWQ1pzU58s5vpIRScYoJY5FMj1Fc/MLEvtMV2+4rZo+jv9h2gV3j/i8RjSwSVmF0udn023/p8h+2NicPnJK6vCpaSncuQ0oG3Q+uJ0D6O88BkNOPqwlVYp+ZjzH12HrhXOgi443+YXKOW5CoqHoVRmRl8B1UDjzEqzJr0Je9Yy4riMyPhOcnBk5KZwfLP+5DVP5Fny69EnkzY7dvjEWQa0xPH7H+n+tpVXYd+lrcAwMoF7B/5GsqREQMpKSHbv6jTU46ArClF+Sknl619P3Q+/uQM75P0ZpTWNS+zKGhHNVlyN/7RuQOqb4k/+tsnF8HnMG9sMPP4zi4mJYrYI3bO7cuTh69Cj+8Ic/4Mknn4x7fyoVB6s1+2O8ubnxeRoXX/1VuN23o9bnRd4o+P8SxedVo6zvVfp4QBtM8f9qRvHtP8uK43sq064tAHyt4Ly9WXXtFpSWowNFsGmLUD3se5Hju/EPN0EVcKPiip+hoj76ZKdCGb0nUUOY1NDp5RtUDltfOJJcVlEGg4JpYrFoo+lzNmg4b8Rj47T3wwwhglLfNCOpa3aguCgc6Y/nXNAOqslX4hyKdv1qRCeANuRW5LO6fjQFJt6Btmv/g/opC5AOjgXEBbnagjIF/gepjEKfm5/wb7L1VxfA5OtF3q3PoKxaTuFFYrCxOfVYF58FkNswjn3+DqZ/cjsOquth/UH8pTJKHd99/7wHC3pexbrqL6P+jpN7dSeKRuwR7deYEroOrHMWAeQWJ0fFEiKvynTSXKUk3WojNUa1nPzx2T7Qi8NbPoLeUoBJc88csSRI3lhqRnHJ6VCaQyTbwkvmkOTH8/n/9QpSSU3fWlTzbdjt6U76u7rFLLG8ggLZ++KJLo2DHC9XytZqmRyfx5yBPXHiyV0zZ86ciRdffDGh/YVCPGw2JUTsUwPxzpATyGZzIxgUBDHkQzw7RvT1KSOuk7XwGmqIHG/vQIjLnBBK+o/vqYlLLdT6uno7ZZ3bPe2H4Xr1Pnh0Vky4458p+175RKn0a9tQQfpvit9r8PEd3/sJCmDHjq5vwpgf/Xv7fSe8sp3tnciJq4ZMB//Xj8Ae8EHtCsHtSd/17xbr02w9PRGPzbG9n4Norw7ATK/XZMYnvaUKGxb8FVqSPRDPfsQIjl+V3Pgo5/r1c6JzxOdUZCy28A7a+sYf0se9vyO71sG94TEEciox9Rr5AkT27g5671ZZ4vrM1v2fwdndDGv1FBRXTQg/rxEzCAKI/3+QqHbtpD1kt7W2QJ9Troho1GDY2Jx5HP1CWqqXU34dE8/xla7hoNuu6Pfw2IQ0Zh9nSOs6rXLquThWvw1qnzeln0uOG8HR3y/7c47s/BQzV9yBdhSjr+HzIdtU9WdglToH+rqFMfeXquuXCq3RoOxA1q+tveS8JfNxb+T5WC6SUGw8845fJazHgy5bRq/feCD7lBsVH1MGtsPhwE033YTvfOc7Q1TEW1tbUVFBlrWJEQhkv2FDTqDR8D0zgYszUCEdt8OW0t/I7bSh6+hOGMxWlCSZbjMcdnzlIwlT8V6HrONt7+vCLN9WdPvyMnYNkeNL0r1JqZ1ab475PTiVFj7RceS09cNgTiS1VwM674hGRzogERFSn0ZadUX6H+0dB+h9p7oc1iSPB+lHP26u0C88nmMb7kmuMSlyTkS7fisW3oDtTWejMK8o6c/yelywckJVvs5sjXt/rp4WnGZ7C3udE+J6b9AppIh7NPFdQ+5PfokFrhVYefxbsJZ946TaQ06Xk/Bv4iHOVNKiyHli3Lf1HUfNM/PonOC6c0dcvXcjwcbm9ECcI6Rrgt6YM6RGWTJqUjV2yzm+IUkc0O9S9HtIdbxEvCvR/fZ0NKNz4/PgwKPp0u/JfJdKmFPMqV3/SsYocUzI/Ryv0x4WE9MMe0/9nAsBcpMx3rfs3wznvg+B/AY0LLgCShHQF6Ab+eBV2rh/O4/LDvvTV6G7+DSMv/i7CZf6yIWUHpD52B/H7x+JlrP+gf3uAVSWjZO9r5DY31vtl7dWG23j85gysEl7rtzcXPz+97/HtGnT6N/r1q3DG2+8gV/96leZ/npZxe73/gJdxyaEJl6CCQuVG1yyETcMyIcDfo8yKr2R6Dy4GfNW3YxjXDlwz6aUfhYjMkFJmErsIRkLqXcpUdRP7XQW5TsEfDRlm6CT2SpMchz53Kk9r5Wkq3QZ1trrYSyojviaQO9het+vr4I82RvlybnwF9jafxzlRUPFt1JBbkEpvSmB2yYouYZ4DsZBqu1ykVTlDRGU7iPiESKJPl18nzm4Bm/EvvRJqOdK0ZnAILEh4tjRckHoeR98ChjXjPRg6+1E/bNzqeBXx53NUGuEpWvIK6r9k1TjDEJ6OY/UpztpxBrsYBLdDAba9mH5sT+iG3kIhh5Iut+xkkjHjZc5Vw+uD/epkputBw6sx5IDv8MWw0JAQQO78Zqfg8fP0ZTAe49+9g4WB3ahrb0btp5bUPzvS9CvKkDu3auQCvxiir50HSVDVeP8+N+kE8Z3TWD0rGFOWQOb8Otf/xrf/e53sWzZMuTn56Ovrw9f//rXceGFgleLIaBr34iFjvex8viJtLyxCk1D4snAnNqLWFrIkYVdpgw1BhC0jsdOxxTAUpFVx41EYHr/dg5tExT6witDjCqPyzGk9YwcdluWQB3yIifO/q+t+zcjtOIhOHPq0PiFh5FOJl/+/Ziv0diEnq1eszKiRbs/+D/wXhtql90mu2d4YVkdQG6jDLdDMHTtnCmhhbTGKNSDG+NUXUdOOXZqpsJvnZBQWzBJtV2iZd6PcNjRg4qq+Ht5D4mOhU5EOQlSOzDinGKMHkjUWlDTJlkaDphy8uljzu9KWzu9aHDhPt3KGthcfg0+75mNgHVSwvuonroMzrV6FHED2Hpgi6y+8vtWPQfuyAqE6s7ApCXXIVVIx42TofotERJLmqTo92Bcjn70tx8Cp1ajfNyM6PsRDfWAJntaqoZat9L75tx5MNp7UIgBhEKpE+kKSL9hHL+/klSediO2TzkHBbmp7N+SOcacgV1aWoonnngC/f396OnpQVVVFfT61ClHj1a0okqr5EEay9A0mCCJVKbWwA6J+x9p4Gekj6YLvw7g6yjJsuNG6j5rAs0wcV7sdPYPMbB9LnGy51XQauWNV+Nv+XtC38Pd04JF3g3YFxCindmGetLFWNlcCEPDUkX2N3PP/yKXc2L7lPNkG9jppKf9EI6veRy8xiDLARENr0NI1XYgB7oE3q83CYYLabcVj4nddO5dAO6Sfc1JEJV2gmpYBLth3sVQSs13cHRGmgPcMCX0+zAyA+nFHOQ5qDmejpWSgS1lKYWzljIEpzeP2Kc7WRrPvB0483aq25EoJM14r2EmZns3wLbrXVl95UOtm7B04E2saiXrw9QZ2FJqPRdHBDskOuNo9HUYLZ+/h8WffRO71Y3AXR9E3Q8nGdhimnI2oPYK4/eCgbewY4XQScPBWZCT6nK6YQ7OeHHae3H0o78S0RM0nX+f7PflWkvobawy5gxsCRK9JjfGyEgTAWmDMtahhlNQmTQYOS01fKJwA2N0kM7j5uYMMMF7UrmCVzSwXTAoIsAUjaA4mfpS3ON0xM8OBOAhPVZVqoh9TxvmXgiQm4K/eS6ccZWI7Hr9F0AogPLFt8FanNo0cdfAcSzr/Ac6QYz/5Axsv6svrOatS6KVXA7nhjMUTHk6KS/2N5bacikJqVsdHp2RykG8KlJewRgtkDGRjI0WuOEdVBKjEs8byVGTKU6oVwtCT9mGo+p04OAGVLW/Az70/2LOMVKqeyr60A9GNe50rNTmQFcXh9K5aIyHr+9BqMXjoJeRgSM59SQjXymO7VkP/Yofwa21ovb25+J6r140sIkjaYZPiGa71TkpM7AlxxTRDkgGe087lrX8CTaerG7kG9hjnTFrYDOioxd71qmTqHEbLeiv+Bv2c8C43MKUfk621IMxsve4eWgS+gAVFRmML1wHboirG3cg4KciZZo4+rufEM5J/3m6/5UfYunxp7Am/wpMvPGRtHymR6zFHf6bR2Pqsadpet5nAxel3MDWimOwkfeQ7i7J7ctkpTWFLnN1QvXrRnP+EMGdcKQwRRARs+EGts/rxqE1z1GjZfyiqxI28v2aHNh5Uh4kpBYTgqKThYjtjf2Zb2xBOhAQA3vwdcxVL8LqUAjq6gTqPxUkp3QC1uRfhmBeHeLp55AuqhZ+Ad4Dv0FDqBlb9m1EdeNCeQa2eH2migkLLgPITaG6dEmzQS/D0UGEtQi8aJQrBR8MYEpgB9oD8Z8JxoCgGj8Yj0Yo20kF1Zf/DMe4hzDRkFxwwZ/g+qWvqxUdK/5MPGhouuonGGswA/sURRKxORUM7FQvkCWkNKdM14Od6hzY+DombvoeWrX1KP/Km7HfEPTS9MN0HDePVBc6TA+gpnEBWmr2we91yfZWH3n8C5jrXo2V4/8fms67R/Z34H2RIwCpJqQVxYCCzoipZh171iK3YiKKK09uuZhMiUjIK99LbxQV3eUKziWDXowam+CBJxRKKoOhbvrpALklkYrr59VUCIxkGsg1sPsePR2FwS4cWvYX1E1bJvvzpAwq3aDUWkf/cSzd/UNaLtG76GokyoSb/0a7CDeNkF7KynhGH2FH2aCxc+LiawFyyzAVDTOBhj8pvt/Wv1+OBs9ObJvxY0xcen3C+7HkF+Nz82LMd30C34a/Ao0L4RjoptkAVG8iQgkhp8tsZsBImCedjRV6C/QlJ3dq0RiE2dMINxnyoxIW1lK4TNKQKxjWebwd8ebl5ARPNrB92vjFKuViNCtjvEulN0TZ3RRnSdOyzidpS04fmIHNGCOYeGFBozOm7uI95ciSerBTHY5T0ehj/wiT1UhMvuQB9IT+C7UkGpxiwsJLw4w9YlTpDSZ6k0tQJSa5xlG/Rj9LOk8z4QgKq4aObOx27NuAhRvvwhGuErhng6IlIlJqvJw0dlInT9CnwcCWjHgNF4LP54nrHFAach4eumYl9KZcWONQIc8L9tJr7og2vsTr/Pq5WOH8OjQF9SgTn/NJQmQwKl4uoTYXYrt2Bmx5TUnVtTIyJ1YqpfmfCugDDlg4N6BEqcbMW4C1nyAw7hzs+fDvmLLnYbRp6oA73z7ppdqQkGKtSnEEm7Q27e9sBqdSo6xuiqz31ExZApBblLGUOEhjjfZhJ4JB2QixOV+oKSZzSK/bCb1RvpNCzwvzTh8ssEI4z/2G7BcAC4rCc8SZHc/spTMJvz1pUepN0rmcjbAI9ikKEbGhERqFPFjZzP71r4A/+BH46kWYtOyGlH2Orn4JVpKLqnJOyj6DERu1OGEaxEWCHMjAHk+adaJIkTMpkpYMYQM5TgVQSbE1EwZ2uFYxghiQv18QdhnQFMc1UUdDqq2XUuNjQVSKh0eXU4lhkBFPavGTMbCJc0BqYZQoBaW1cb/HLM4nkkiaXMiievjCmrTSIrg4I9QpSkmVjHnG6KHDOgcDzjLoc06UevV2HoGKU8GcX5zynsHRCIWCNPPC53GhqKJBsf1KtcRSbXEy1M86Fxv4xzFx5tk4tnstCvbYkeffgWMDPTDnDS2f00kGtijeliqObfkPFm/7NnZqpgB3vpv0/iSHqJHzYSDGWKg++6fY7ulGWYkymVISJnN+OAvIMdAVl4GtuvdztLgdOPbSN7HI9pbwZGHqOv00b1+J4NYn4c2tT0pgM1FdF4PoxCW/FSkNiue3Gg0wA/sUpee2LWhzDqCgYOwvNQItm7Gs/xWsIe5vpM7AbphzAUBujIyilSZZuGKmiaUbt64Qnb4CgBtqOuzf9Db4bc/BUzIbky+4X9a+JAM5HgVW+vqgUJ/GZ8TAPjkleDAhl6Bs7tFZle+1KtMRMVjRXZeGRTtZBLp4PY14eKlxmXhP7OZn78Qs20dYX38fJl/0LaQDYtQTUTSCXgGH7Yl0QwOSWW7t3/AazNsew4B1Gpqu/lnS34uRWRq/8JuTn3zli5gQ3I+1s/+ACYuuRKZw9Hej4TlBnXtwn+5kkWqJk+kHP5hxs88NR4GPrqhADdrQuvMTTDztqhFLCKWU61ShEvcvGfRyaNm3iY4RBVWTh3TiGO4Q9bjtEYU0CZUTZsJqNaOvz4lAIASlIM76AS4HRRiA29YVd7tH0pKOtju0AZ8al6DxrDuQKry9R7DE/i52eKYltZ9EdV0Mg46X29nPDGzG2IDUXihVf5H1iEqYaoVbaDCyE5LeKqUdyUkm3PXqT2Hu3YHAtJsUaQ8UjYZbn6D3w6vHvO27sNTxATaGArL3xYvqp6oI6daRmHT979Dm+wXqQ8otKuSiFhdUerFEZTgqj6CC7VfQwFYvvBfr7NeitHqqrNdLKsXpUHQfri4vRW8TReu3Q8/5wam0Ce9j91u/g6ZnF/SzbxHSMWNAVeFFjDnxHTe/z4PWPesR9DrRMO+iYUrfpqQM7KCjCzN8W/BZ39hKO2ScQC8aZqk2BGMRj2EXD8RJnKr/ry1nGmrsbQh2bAMw1MAO3vAmdrtsqLCmNgCjEWu8DTJUvyVUK36Ceb4tWNX0Y+SSNmaDIA7RVUVfoHNjvTpz8UM7l4cifgBee3dC79cUTwSOAFZvC9KRURaPg0NJXReVSg0Hb6QOWq/TBhSlRy8pXbAINmPMw4uDeKS6T6U4fmwPQsEA8oprTh3nRRYb2AbOj76AHxpNdGPD0r2V9ghd2Ze4OFTSiIqmcaVt60TBsATO60ylU4azCyJM6GqvYGAH9coZ2DVNi+I7FO7EFFGT4eg5T6JVo0Nx5QRl2i8aEtfWyG39GDN9m7GqY37EWsfBeFyCge3jNVQkLR6cth7MW3UTfdw55whdcIW8trCBnQwqcdzXidE4wr5n7sGU/o+wre5ONF30jaT2z0g/fCiEEFENFyPEBiJGmAVircSwIxkvVEdBQQObOImF0gvl1xO+vAYQD7TBdmhEUTRySzUacT6QjqMcdFHqw4lDtPG6/5W1nx1vPAyd0YyqBV+Azqjs72vTFqLLZ0co4JP9nqO71kK19n9hz5+MugsewPbSd1BUkbr08MGlB7ok28uVz7saG8qnQheng5Xg5IzIgRs+9wlH7ViBGdinID3th9D//s+oeELjtb/AWEdaaGmCyXnpYhF6+5uY5t+G1VN/jknLb07pZzEiYxy0GCHRtZy86O0ypAV4quvNosH5XPEb2Nr0nNdKYi6oxCbTcngNJZg0wnadTxCm442kJ3RmKK6djC1nvUTbrdSk6TOrJs5VZD8naicTj3j5SWaED+Blikl5HcIxc3AmRdqC8eF0w+QMbMnokqKcBK3Phnw4wBOlQcaoYs8L38ZpXc9jbelNaLzm52G1aIIuwxFsqU93LlxUR0EJSAtG4iRO1f+nLp4AtABW91FkCt2gFoXuOMc4dRLzNXHULD74G6g4HgenX6S4gV3x5TfofTzmsbvzAJZ4N2JHr1vMMJWXcaWEwzseB8dIWEtq6C0RPJJ4oVtwrI4lmIF9CuLsbcVC+7tosxO1w7FvYHMKpcHI96yOLaGG0QYRK9urnoAgp4U+6E+LUSKXPR8/gaK9z6CrZDGarvyf8POcqGgaT120rmgctrQugLMgvol4z4vfhc7VBu3Ce2L2Q1WawvJxKLztmYjbDX7Bi602K2dgtx/ahv5D66HLr0LD3Atl1cCl+3dRPmU28TEoIBm2YlZFLDi1mooU+dRmVMX5WSTiLUX+vC4bNbALJ5+DVbocaPPKFInOSEJRQyL8KVZHZqQAlQZqjgfnd53UTk8yFDIJyXghBrbUEzhZgn4vtmln0vnJkoKMuNzyRmArUBFsgXOQgjMRmzryr28hqDWh4YqfpjTbSTpupEWhS6aKtCReGilrgQjfeRx9yCupjZhJ4HE7qHFNP3uQky+TBF1COrlbq1z2Viy0opOCOKrkx9qVZeD8v2G7So2K0nqMNZiBfQriF9uguFUmJF6pN3pQ600nRTLGcj0YAyi46+O4j5sSSq2x4J3daArugc02tEmQlOYt9YmWA60XT6BmvKxnHSaEDmLtwNC6u2ygv+kmrOw5AGvtLOX2uftDLGt+GJtMywAZBnYm2LvqWYSO70bOlIuSMu6lWkZNEtGdoFZYuHIyle7Lx81IWAFYiPwZkQsnvGItd0lNI70pVo7Au8PxaklcLx3ONIayhCQtFdEZSer3dVzwJCX+TBGOxA3qQpAMxNFX/pU3kSqs5Q1YVXILeKMVE0JBaETj1uO04bSB1+njDlVqAzCSyBUxdn1eF/2fY76HdrcHtBGciNwrt2JG8ADWzv2T0DVgBDxOIesmyHNUWCuYBQktnFsQ+PQpqD8if4z0JGVgH9j4Ovw9zcidsBSV4+Obu8vJ/DFGYQb2KUjQo0yN22hBM0IkIxVkSz0YIzGjJC1REHGROLxNlaQPkI7ImnQdKKVMm4jqtMdtg8GYe5La7qRlNyr/gaKxGak12HCO7VkPx96PoCltwoSFVyAdGPa/jrnu1VhpLgGSMbDFxWcyx1YyZFQyI9jJQtpxEQM7WYG34ehMJxaPzuHppSyCPerghpXESGKEBDmGWaohPYBJ2wqpJ3C2Q9oBNl7z0EnPC50MADevU0wNPeJ3MJqxuuAa6lgeJ/M94ayFCIEMPydE3EPeyMdBcuY5OZMQNVdY8HP/upeRt+1v6M2fjsbrfi3rPRpPL70PGtJXHiU5poijijisEs1W0Ox8HotcK7GSD8VtYI9lmIF9ChIUa9x8Sda4jRbKJ8zHjrz3aVP7VHY6zpZ6MEZ8xJqwlUQSZtEOq5sO11EnUF5AerAScah4HUHaDEXx8h6diDLOh12Xf4LiyvEZ+80jYT+4Bstb/oyNvacDaTKw420lFomDxhkwBAZgtCS+SOPF30sTZ/u3RHGT2m2eiMsJi96jO1fBM9ABa+0MFFdOTKonbojnEIIqfI2E+wonkULPyBCiqKNGSvNXqbAm/wqoQl6M16VyZpdHR+kZ6HY2wVhQOTYyHEVDNZWQa3LS9b+NyzlL2hkOV24fjI+MpQEgFCUDxycKM7pgSsmaMOgewJTATnxuk793nVcwsHljdM0YJTFa8rHv2g00k8Cg0SW8n7DzOoH1ywES/T66Ebr6xUKr2zEEM7BPQXiv4KH0qU8NQ5B4SUtrm1L+OdlUD3aqc/iJmzDOtRX7Zv8YExZdFVXsxAhpwk698rtKXNgP1wMovfUZHLQPoD4OI7/t4GeY+PaVVIWTv3en7PeRlFlyniZTp5sMZOFmhC+8kJPo725F96HNsFZPpbXaSiGJ18lVSuVEIzcuwbkkSbSn+XBqb38+6e8iZVFogvK+C2lzN6X1OewqvQJNV/807s9zk3koAAScYgRn41+x2PUJVvR+HcWV/4VEseSXouueZrqIVw0+92l6KevyMNoItxQSHWVmSwEm3vgIsoWmKx5UdH+HtryDprVfw2H9xLBoVioEbx09rcgvb0BeoVC25BNT3N0wInGTKzXw4LGy9muAz4mGCIrVYQ2JKBFsv/tEmWQqDGyNqZDemwLylbFz/Z3Ce/PjVbJIHDI2WouTdwhJzutEhGJDBz7Asr5/YxUfApiBzRjtcD7BwA6IfXQZyZNt9WCnOrqAHUUYwG6X0PYpEiQK0nvPIXjdTuQZU389qPWWEY09gzEHmjjqrwkanRFGzkejdHIbdRGHAhGUiRYBSDVk4QbY4BumGtq54yMs2fk97No6GbjzPcU+T0qXllsiIhm5wTSOj6GwgZ3aVoJyqFl8A/bMuBBFMqPgancPvda4UGxBwZHomXg9Vrh6UVAzc0g2R7LlEuTa5oY916KfgL5ALwy5wgKYMXqQ0vpTLVaaLQRcNuRyzrBDIRX43rgfc/2f0Z7SeWJP6aAo0uZRpcfA7utqhdfZJ6u9KWm52XTxt+VlA0VxVgZFJ4JXnZoxXmcRxpeckC1uLRhTUbp6VyiHtJ5JRMcmpM1Ja0lSOmER7FMQSbwmKNY0jXVIu4sDr/yQLl7rrniIRrSVhvTmXFVyM/2MhiyoBzvVkbzYUsufWF7cdPUtlwTwpLrvZNCJ55mZ88IhM02cKMQSJV7h/ZkxsD1E+yEEBMRMGolQ7wF6P2CsgZIdWKVUeLmtSFT++AXnkoUPCzhl3sAmkUFyk4vWJzixeENiaryNZ9w25O8TQmTKj9NVX/q34vtkpAdDQQVV1bab60DONOIUdTv7YTTnZUUNNnGyu502qDVaRfpgh8KZhvH1lo8HjzYf8AO8SxDYIgTFyG+6NHrUL12HaaFmrJ//qCDcmSSSY1QVxcAum7wUG41/g8WaGgVxQ66Q5p3L22Q7v033bMARRz/K0pxZtvvfD0LraIVl+bcSzvQM67okYGDzOssQ8cKxBDOwT0HqL/0R9tvvR4U283VL6UClUmFx5z+pUuV+5wMpMbAFwRChNycj89BevrSmNbu8osSotfNGGh0YPBXtevp+IBRA8TkPyO4naRiU0k4Wm3KcBN5BUeNMZVpQMaDQiUiJhNottCnxm5JrzxRNTVqOia2W6snS6YDUJW9gdzTvwPg3L0W3qhCGezYhXejE1mowKKN+q5PqpPXJO732//MemNytUJ/9U5TVT1Pg2zEyRdXEecDEN1Eu/n30s3dw2pavYa96IvR3fZTxA3Po5e9iSe9L1NGuxFogFO4Hn7pxyE8Uq11EwfpEppdUu+wj43Qa8EnzgTf22Oe096GreTv05nyUj5s+4mt4jTFmNlBuQTkKSiphtZrR16e8YWfOLwk7v/s8Lro+lANpU5huqjveRz1/FBt6rgYSNLAl53UiBjbEuU/DDGzGWIAYmKkwMrMVEtlzQw8zPIor1TKyEzlebEJX6wG43v0BPIYSTLrh9yn/XmSR77lv/xDjmjC95z+wcG7scN8re186g4mmhxPHkcdll2Vgk7rUljv2UQXe3BQrxEaCiisSEZph2QVan2CokbYxSpJXXIXV035JazgnyHi9pOguRZXTQlhdPvHFnt/joCUDOj65jqaOgW60vP1zqIIeTLzxTzFfbwzYkupdThbN3Ud2gA8FUTf9dBhCwu+vVsABVGHbgjq+BRv6OwAwA3ssERLVutNlCMZCjmEXD1KpSiCFWhCSYrXaIzg3CfWLrsWuSUug5+QLZyaDdPyiiZJJdB3ainmrb8ExrhyI4ERU1y7CqpAPqurEuzEkC+mt7efV0HJBOAe6oDfUIluR1O8DSajfS7ouiegPcWIJly6QXcEQJWARbMYpARFWEgzs1FzExMAZ6GqBIScvLBbCyBy8mN4by8B29bVjrnsVWt2lyBRD6qLjSHUc7Djyy3QckbpU4k2X61FPBf4I6ft60VBTKWxgE4XUeNp/STXAqUhRjkTZ7MuwuWoajPmJn4fSOeDhDEjm6IaCfizteYE+bg/8jtY9RsMs1hlqcxJTv23fvQqLNt2Dg6p6YPqqE0JkCqjcn2idZMfxY3tR/vrl6FdZYbl7bdL7ZmQWySDzpzCFOpk+3YqV8qUwgs0VjAM6gALnwfBzZA5KRr1fqflgJAKiACXpOR5J45z2vo7Q/1ri8OcfwXt8HyqmLkZBtfJ9mMk8281ZoUFQVlBnz8dPIPfAKxiovQBN596NdEIdHMGTHd7xsOu0RxDw2FFbUh33e1ViptJY1FZgBvYpyO7XHoLKdRw58249ZXrWuTkjwPfTQSAVtO1ZgwXrvoRmrhq4Z11KPoORQC/fGCm30vngVRkyppjq9bhgkOqi4xQeCzuORNGW0YCreDY2dQHagrohzxuDYiTUpKyBHS+qs36MjQMdKKtMfecBCaLkmqyaq9R+kRiVyRjYppwTkWiXrRe5BdGNfgsvXEP6Qe+LB0O+4JDMD/WSTNFwNwbSVlG5xaMTPucACmBHMMSWPaMRUt+c94959Pw4fscuQHSeSgZatvXpTnp/4v8nzWWpIK92FrALqAk0wxYIpLzvdTRRMul4RiMkznPJZi0Etr+EpQOvY537yykxsAnqu7cQLzjkFDyp2rdihm8LVvVNQrqhDip/cuV042afn/B7tWLU2xBiNdiMMUB52zuYEDqEtT1nAKeIge0lPR15IqyUGkNESq8hi9tTJ/k+e1HlVuBgex0CRqEWKqZRwhmRrorkY3+/CoagHZorn0BxeTVcjoGwN14fZy/uQ+ZZOBZwQCNTT6Fl36fwrfsjvLnj0HTFD5EJJl88cuslc1Aw1LRm5RWe9639F4KuftQsuCqmgJdQ2zdyfV82ExTr6z2q5CK/Gp0eTt4AM+eB2x7dwCZ9aVv1jSj0tSKnILHMnZwCoarWytvQGfBj65T/B95jR50CmUDU+PILglF+8VonEf7Ud/hlKI1Ob0IenNT5QkpcSKumdLfTi4qY8SL16U6WUE4Z9tomgM9Lnap0Sc1kuHg97S198NhuWsK0d9Wz4Nu2QjfhrKQMJ7mEj58v9u8WEo95tKwFIuRp720Hz/MoqmgY8TVqMR1ZSk9OBSSKLZccZzO9560jf9+0CMKKv226KRk/D5t1z0OfUzjm1s7MlXsKYuSFgUxrPHV6gUpCGpIHVGl4b3bVg53qNJKWI2fejlhnOIlspVqpdTgN3h10objdQfr+VsPjFAxLstCJN4JQ/8Wn43q9q+sQFjs+wG53I7KNQ4334IC9HRXlyi8yGrf+CIUYwGd1c+NSyE4Xtt52tKx5ChynitmGJhIhj1DD7tMkn1pt53JoZoTXcUJdeCTI+Vr5pVfp40SNVqILEOBV0HAhujAeriqeDOHopt+JYDiF3sQM7FEIOdfcvI7qDHjd9kHt9LLDwFZJbcQUimA3Xfo9AN9DQYp/00/HfRU8p0KFOC6qmj/Baba3sJKoO6fBwA63KJSRWi/N14Eo66yjW9/Dos33Yr+qAbh7xYiv0YqfpTJkxxq4xHeU3htL05eaLyFdP9L1FC/OgR4cXfccVMY8TFp+c9zvN1usME9ZktBnZzvMwD4FkWrcdMY8nCr4xJYTIRle0rFQD8aQh5QW5U9TSxKpDzQxsKW0bq9rIJzunWoy4VAY8XuEgvD7vENqwRvPuiNln+ehJtUAAjIcbLve+j04jkP1aTcgJy+xuuJ4cfZ3YfnRR9CPHPiRmIHNeYXzyK+Age0kUfBQN3wx+sgrtcjv4/JQjD44ettkq+jHFx1zIJhmdWSG8pAx0ggfrWuVyn/4LDGw1aIa8mirJW268OsjizyK/0+qUdcsxOqgPFEyOcJvarHNlS5KW0apFaA6hUGm3e//FUWHXkZ35TlRnaYkG6MKgshcQfUUZM7ATmxtPHD8CJYd/AV6kYtgAgb2WIYZ2KcgZhLBJjVu5lPHwNae/0tsDwZQWxy/CIMssqwejCEPKS0qKCrApgOPWK4gtanyusTIGlJfB54Jh8Jwdr/7Zyw78BA+NS5B7e3Pp+UzSVs02ntbhgbD3EOP0PTonVPPTZuBLfU0N/EeiE2v4ienDDs1U+GzytFKj45bbRF+L5plEZlAwB9TBE0O/aoCFIf64Gzfi329rdCZraibcaZi3QS4oA8h8dhTFXvGqIQ4JwEbdZSFyudgfdANdXl2lHOYimuxwXwmvDk1tE/3aEVSc+b06SmamrDoKoDc5CBlLUS5hjVimZVBDCSNhCEk/I/aFAaZeGcXJgd2YX1v9DVn17E9qCJjIHJi6l2kgorzvoN9/q+hPsHMLilQQK7NRNYvwUAAe99+GJzXgXEXfXdMdThiBvYpRsDnhYHz08d6BURkRgsl1SkWj8i2erBTnJZ9m1DwwX1wqPNRcue7GW2FErkthjAxjZ+5DIfzNsHrcSPe6uMDT38FMwY+xKZx92PyhV/LSofCcDit8aSWVKRVU8e+9TDklqBywhzFP9MnZgdINffRIutGeMM9y9OFNBbruAD8Pg+0uvizGZrO/jJw9pcRXXVAHi5toVC77OiM+rpDL3wTTf0fYPu4uzH5gvsT/jwH+TzvQahbN+C0gddxnCTGztiGZBl/5UPo1PwKjSo1dv3nYfocc4KOXogYpeQoo2VAILfsoKJhJtDwlGL7O/7X81AQ6ETL0t/R9nWpYqCnDb3HdkFryEVV43yYgv30eU0KtDCSxdCwHCtVGmgrZkd8jVasqyZieMJIfjI5IcHZZsgrRqpQWQR5M6O3K+rrnO276X27ugrpcecOJdea3IwRTFIoVqVSYfGRP9ESob22LzEDmzF6cbsEIRyC8RQysFNNttWDMYBavhXHA9HT9SZe9iCa3d9EcvrNiSsbEzRaHfKLKxEIEA3l+OD4IBWokVs/lQmHwnCk9lf6QWJAXYc/x8L1X0YrSoEJmxX/TJoSP+g3j/g6j4v2FScY0jg+Dm7PRlIGEzGwlST3/B9jD7k+CqNfGTpfL1XmRjC53tvOxuuwYmAJQHrvDghdH5Q4Q4lgm4TKkE/rMkmEkTE6IWKUchxlY4H8QDfK0Y0WTr5YViK0rnsWy4/8DptMy4HGZ06ITeakzvgcDHEokhKZEB9CQWn0ftH1s84FyC0KerETB2l96QmFRhQby+NtNIvTnK+EO3JktLmCeKMlcKLH+EiEPDb0wYIBU21GDOxkCYpO+0SFYjmVCk5OLJsbZJ+MBVgE+xTD4xTrPXndkMXHWOfw1vfgPfAJVBUzMXHxtYrvX1U9H2uCXll1RIzUowt7sd1ih+nI9Z9EZCOd+MUaUKluPxnCqXJyDWzR4RASU2czgVo8NvpBtYp+p5CK7FRbUpImL6XEx2pFQloBEUI8B71Yy5cOiEHt4zU0gu112dKWmh6JwvJxsl5n8AvRLlWS0a5JS64Lq70T3KocRQzswdAa/7PuGNXpu6c6vbmTsd2hh8aYT8WVNDoDdHpjXIrNqc4QJA4yk8Wa9HcyQhKjTW0mjdoipCWbfD1DjE+DJT0R7MOf/geLt34Ne9STgLs+THp/UuYRiYj6fJ4hOh8EPhTC54v+hJCrF7PLa+COtkBIAmOB4JwsDPUgmvux6bx7ETjvXtSHgshUtp9z8zMIWSoTEthUQtfFBaFDgE/UoxkrMAP7FKOgtA57r14Dn9shqz/fWMHTvA7Ljj+FtZ4eIAUG9sTTrgHIjZEVSIsS4sV2R/BiZwq/xgynh6Q6ChPqjlWvYWDLK+DL52HSGbfEta+QVlg8qGQKlKjF1/Hi+zKBlMJnELsZEIKimJZbnYtUuDuklPhYrUj8otK0C4a0nzMujqTYOejYnAidf70AZYGjOLDwf9Ew5wKkA7OYTqpUtCskthrzKlQnffzYHjg//Bl4qDHui/9QZJ+MzDHxhj+EH9v+shR1ocNYP/9RNMy7OOOHhZS51D01jT5uuX1v0qmuZrEffKpL+bS5wkowN9hDo8nFnOD4TGV0dzAa0ZE52OEaiY7mHQgFA8gvrYMpZ2RXmWGQQ4I4O4Yb2GRcJ+OjRqOCwWiGW2yxqjS5RaSyGtRwbPG4Tvoew1Gp1MgEruOHsaT3Jey2NQEJCGwqoeviJu8NAX5mYDNGMyRiFysNZyzCa8UelTJaQTBGPwYxTUzN8bQvZqTFzq7XfwHdwCFoZtyQ0jq3wdTf8g+4VCqQ6YxgP7QBi/tewToaXb4lofNaJfO8rrn6f3HQ9QPUyOybnQqk9oBGeEiZL4V3CxFsryY1i0nVrFuxuvcsFNTNivo6n1hPlg5F9+G4YUA+HPAn2ErQEuxFEQZwSJ286Fjf8aPo/PgRcHwAk77w24ivyw0JEQe9JbnFOIkqtezbiJL9/6R/+9XJK6ETQsEg5js/hoM3YnRpOzNioRdFrNR6Zc6VZDnJsEvCwCaRcH2atHJMVqHffEGoDw6NFruvWAG3rQuVuelpZ6jRxxYlk+De+zZm+Ldj9dSfR2wJRda4a/IvBa/WoypDRiuBtIP08WrouCAcfR3Qy8wKSjdqfXLq90rounhUZlFbgUWwGYxRh8ooeDt1gdgqwonQf/wYcUHCnFuY8fpJBoYsbrxuW8TFTkHHKkzzf45VPYvT9rOdFBkVjbqgNv5UQKmVitRaJRbEix7Lk54+xWz3CcVsjxAJ9etSk8BbN/0MWa8LhHslG9LeK5mIGbWq1CipnZrQ+3N4URnXlPxv6HM7sbT7OTh5PVz4bUSjOJ+30yibUYGU9skfXB8W4CRZHkqQWySkaeZwbux+4gZUuPbi8LRvYtKyGxXZPyNzmPj0pFAn2qcbRE9iFGjlSNcI6ZzQ43aiqKKBKLYhXUjHzwAPAjFeawg6ZPWvnnjjnyNu62rdh+4dH8BQ0oD5516NVM7zXVwRNAjQtnKR6H70bNrZwHjZHxVtURhvyZYhQQO7aNblWFM4DoZ8oeY8ETyka0XgRAbTWIGliJ9iHN25Gu5tLyNU3ISms7+CUwWVUUg8NQZTcwH7X7mDtmRYM+M3mLhE+RR0RnyQdCsXr6cCYMJiZ+TBX/LaqsXWHplA5RPrfnXxfwci3ETQB0aP59doKcBnujkIqE2oCgTowlTtFQzsoD6zFbLFdTOwPvB/9PypT/NnJ5NBQYzdPNHYNSmgjJsjpoeaOS/6IqQ3uux9KOGEMocca1nSi9EergCVEFTLgzpljCaSRkqi18TAnudaSZ87FEhOkI2ROXa/+hNMb30G24svwyLiUCLOndyirOzTnQxEh4He89qUa+UQA16aK+09bTCa0yt+K9VMkxaFsVZnZlH9W5+TeH1474ENtE3kjiPTgBQa2ATt3Zvo2BbJ9PS47GgK7qECnM2DhC7TiU5c+5Acn0SqwEuqG+ktGfyaHBDJd947etYxp7SB3dPTg66uLtTW1sJozFxLmmzD2bINy3r/hS3OBQBOHQOb9FUlmMT+h0oj1Q9J6TaMzNOhLkUQWpnHLX1RkENb3oF+y6OwWyZg6o0PQyMa2NDHv7DRF9Zit6YJdst4Wa/f/e8fQe3uQs7CLwttZTIAMXpMX35tyHNanzCx8qLDQGm6Wg+g9/Bm6CzFqI/SX9mcV5i2+mUlEYxdQYXerICBTUSaAryKCgU5B7qgN5xcVhQIePG5bhaMQTusCmRF2DQFqAx0Yrt2OnRNl0Ap+lT5yBmUfiqp2DNGIaEALaMwOFvouanU+Z6KPt3JwPM89qnHIwhNypWliQHYq7LCxHegZ9Mz6FvjgKp+GSYsvALpNLBJSjxJjY/mUMgVnYiGGE4VUg9PBH2JWOTgDg2EoENom+XRpt6ZG0vHo33vOpAu2d3Ih8mcGeeyXux/beGd6A0FM1ILblz2LWx2fwmVZenLnEgHY87ADoVCePDBB/Hmm2+iuLgYvb29+PGPf4wLL7ww018tKwgLEhCP0SmEXlTEtPD2cN1nSurBxHQbRuax3L1W9nHTpDGCTRSzF3g/xS6xTZXGb0/YwK6feTYw82zZi7CqzvcwLnQU6/uJKFBmDOyRCEy+Bis7JsMyfklK9t+9410sO/BzbDYsAqIY2Jnk4Kb/wNe5Cznjl6K6Mb5uBMQIpve8XpESALIwHOAsKMQAXANdI+p25BVWIO/Lb0ApnKQXdgDoqzoXTQoeo85lv0H1iuvDf7MxevQiaU5YvB303skbMl7yEqlPdzIUV44H7voE6eLQ+C/hUMgPfcdmLHB+gDUhH5AmA1vSS5Fq1yMZ2ERLpZgTOlubc6M7VTzPXI3G4F6smfVbQYB2ECp7q/AaY+IpzclCHN25PVtR4hcydg6ZZ6E+Q0KseQXC76AlteL9x5Er/i2XfatfBB/0orTpdOSXEHdB/JSPm46xyJgzsJ966imsXr0a77zzDkpLS/Haa6/hgQcewPTp01FVJaj6ncpwPrHeM4NtejKBwSKYILm8E10p8NJJAh1Sug0j+xmcVqsXMxzSgdYseIxNYrmCPugcohOQSgwhoSeJNgvOU7KYIj8+qY+fsOAyAOSWGjgx/V4bjF5n1rJnI+zNG2Eonxw10p0KuJ0vYpnzQ9BE5jgNbI9dMLBtXK5ik7qdy0UhPwCvuO9U49UXkRAgOKew6FSKmsmLYfvEhFzOlTXnPiMxOFFzoigoGNg2zpJVi1jSXo4a2PbovY+zjaZz76L3Rx8TjNFgvryMKCUgmjXrLOcjpDaiUsXFdCIGeQ5GS/S50kdaYQZJC6mTMwkM7nZ6z+em3h7Y/cHfUHTwJXSXn4GmS79Hn+tpP4Rl7X8f8jpvTeacvsSh0QsLCmCnJQLxGtil2x/B+NBhrDX8KWEDe6ySPb1rFOLFF1/ENddcQ41rwmWXXYb6+nq8+uqrmf5qWQEn9ssNip7gUwWLtQSbT38Ouy55DxyxqBTGSFpqUIEhtngbLfQeP0rrzvy8WnbfXyXQ5QjOnhxi3A8SbtGI6tqJOgvILRYGUUtZk+FMi+YnbkTV4404vO7FtHyeSm+SpZRq2/Melh38BYKfP4t0E9SIkbgYrcRGglNrsVMzFS0mSZs+eZzqPHofEHuUDyekcN/WoEmo+y7u2Uh7HCsFicZ/NvEbJ6nYM0YfkqMsBDXWW87FwYLlyCZ6ShZjg/ks6ERl7kSRM5angmLvEXqvK5mQ1s8df8vfMfHGR6jydiRcNmFMGOByYgZI/GKbP17s0TwYi1dw4Gny0xBwc/VQbR5Dz84hKfErxz1A+36vavox1s7+AyaeHl/3EKVpvfBF7Lt2A8oTKBuzhoT5wWgVxPISoaN5B3a98Svs+fgJjCWyyfmXNA6HA4cOHcKUKVOGPN/U1IQdO3Zk7HtlE2q/sJjnFRKRGS1oNFrUTFmakn2ThSYRAyKwCHb2sOejx1G751EczV+ESTf8/qTt9s5DCPEc2lWlMKZYSGYwkihPHu+APRRC7l3vYHdrKyoLEpvw3X+ej9JQFw5e8S6KKydGfS0RkiH+JanuLVP4JcX0nv1w2nvRtnMFLKXjUVYv9JFVGqmVT6xeqyrJAZmBDB/JwJacoPFAU8ob31H0+7hJjWIACDpHNnYPPPd1TO7/ANvqvozJF30z6c9Tl04B2kBTO7d2Hqb18ErRdO7d8O37JXRcIOPnPiNxJDFKF2dCwy2PZ91P2XTFDxXZz4Fn78G4gfXYN+metIjRErGt5vX/wlK+jUaIi8fPR7Zhyi3EyvI7iMcs3OIyEkRAkyJmbA6mWMx+MBalvl2trnw6cAyodO0OP2fJL0bTBfcDuB/KjXDJkei8S/qmV4i9QCQ1+kQYOLoNy4/+ATs1U4AzbsNYYUwZ2H19fVQcwmodmu5J/iaGd6KQhvTZilqtwrr/+zpK2z+K+BrNTa/DYhVqVk6zvUXvOYMlq/+vVLHjP79H5aHnI253nf8nVE6YTR/vfPevqNj3j4ivtZ35v6idshhupx0eXktbzJgt+Yr+ruT4Dr5nyIf08K3h22DtfQtdf/l0yLbOWd9E45Jr0Dl5Lzy9nbCk8VrIKywJ1zwdfuwLmPPAf6AxFCAYTCxqoeN9VCDG8tqNsHO68PPdpvGYcMfT4b+P/eVCFIttkEyWvIxe/0HreJB5efrxl2F7+n2cxrejlSuF5v6tKfk8qZdsZagVLX9ZjJw7P4FWdKrsfO4BVHSvoo+niN546EyK/D5xXb9i+uvU7jfR95e1aCtehilf+CV9zuN2wP33cyK+ta1gAabc+DsoSd7Fv8B+kq1eWI5ju1Yif4WQ4igxLdhF065VGq0iv1XTkquwObcAap0JdZOVXeAHAwEcVddQzQVzrjJjNBub00/FlKXwbdaggm/Hsd5WFKQwJTWZ47vr46dRviNyq6je036Ehjnn0cd7Vv8LpVt/M2T79OBxqnx/QK1Jyzjdc2wHlu4WnAN7dFNQUZxcV4BEIvadx/ZA+/pXoIqgZZ1z+zuYdu1PZO3PbywAnMCyY3/Cob+8CftZv0XN5IXo6TyKKt6FIDgUV01I+dqqcspihDZwqOQ6cfgvi8GTlq76CtR/5WVkG4e2fgDr6h9E3N4+5S5MPvNW+vjIzjXI/ei/oOKFY0X6fVuLymOKukVCJwq8TQnsxPGQPzw3j/bxeUwZ2D6f0H5DrR6aPkL+DgRiddgbGZWKg9Wa3enUGkc7xoWE1J6R6M3Rhv+HjQWXYH7vG8ivm5b1/1cq0Hh7o/5W+zSh8O+i8fVFfe1Ozk9fm2vRY1PjN1G39zGUlRcnPMhEIzeXKeHHS/nkRcAewMK5YRl2HLsDduE4W80or0i8X2lCWM1o4cpQxXfA6mlJ+vh+bmxAmbsb1Xw76Awu4vcYh1zjft9Rek8USyurK6HRnjDG000p6Uvd/DvkwYk8XojYduRMwZwUjUmhSVPh+1BDI5jkmvblm6DTC52uDZ6Ok65zfXmTouOjnONrrJoMtANW2GEN2dHjOR7+Dm5dCOVRxqJ+T63i47nVeiKqcXyf7+SxUKy0KWlcqNhnF5xxKVJF0Q9T47xhY3P6sFobsCn/LOQ7D2HCpORaA6Xy+GoCtqhrBxu8J9YZQWfEa6t62pK0rNP0MxfA9oEJBt6H4GnfSPvacM+G99D09lAxsuHYLQZY8uR9r4ZL/gu9T7yDAgjHYbcmQP8nq7UJR65/D+1b38bC2tqUX7/kM/fomtDo34V68Rgf8Z5YY2YTGnijnrNdAVv4e7dx/iGvbdY2YGJh4plBNZNnI7iOg5ojAVKzIgZ2NozPHE9CvmOEjo4OLF++HM8++yzmzJkTfp6oiO/duxfPPPNM3PskUSWbLbEG7OmAeGf6Wnehq+UwQhGOZN2MM6iQBKHt0DYE/T5UT5qLU5HOY3th64iczVDRuBBmi5AB0dV6EP1t+yK+tnziPNoGgtDTfhgavRF5BWWKH18yQJBzMNEI56lM28HP4extO+n5gpopKCytQaaw9R1H54HN0JksmLnkvKSOr8dpR8vuNTR7ZzA6Uy7NsJA49NmH9NovqZ+BvKLkagSVoHX/Z3D1C4IzKpUKlZMXw5DCXqCDr+eGOeeG6/gGfw/pd6tpWqSIoyye65dEcY7t2Qivs4/+bcovR+WEmeEI7KGt70d8rzG/BFUTTsx5qTpfhzP4O55qsLE5M3g9TnQ270BNI2k1mp3Hl6wHelv2RNxePG4m8gsFMane48fQc+TkEsacwmqUj5uKdEG+s0qthbUkM2LALfs3w91/POL2+llnQaOR7xR22HrRvnfDSWu1dF+/pGVY+971kKZnsk6sn346so2B3g4cPxjZCWmtnISiCkGrxjHQjfZ9m8LbyictQE5u5Pp5OXQe3QNb5+Ehc3MypOr4kn3KjYqPKQObtOiaNWsWfvazn+Hii0kbGoG77rqLpon//Oc/j3uf5MD09sZfE5cuSPoQ8fj09TkRCDADbKzBju/Yhh3fsQ07vmMXdmzHNuz4jm3Y8R3baFJkGxUUmGUb2GOqsJNEQRYuXEjbdEk4nU5s3rwZp512Wka/G4PBYDAYDAaDwWAwxjZjqgabcM899+DGG2+kbbpINPuxxx5DdXU1Lrjggkx/NQaDwWAwGAwGg8FgjGHGVASbMGPGDDz11FNobm7G448/jmnTptF7jWbM+RIYDAaDwWAwGAwGg5FFjEmrc/bs2fTGYDAYDAaDwWAwGAxGuhhzEWwGg8FgMBgMBoPBYDAyATOwGQwGg8FgMBgMBoPBUABmYDMYDAaDwWAwGAwGg6EAY6oPdiogP08olN0/EenJpmQjdUZ2wY7v2IYd37ENO75jF3Zsxzbs+I5t2PEd26hTYBupVBw4jpP1WmZgMxgMBoPBYDAYDAaDoQAsRZzBYDAYDAaDwWAwGAwFYAY2g8FgMBgMBoPBYDAYCsAMbAaDwWAwGAwGg8FgMBSAGdgMBoPBYDAYDAaDwWAoADOwGQwGg8FgMBgMBoPBUABmYDMYDAaDwWAwGAwGg6EAzMBmMBgMBoPBYDAYDAZDAZiBzWAwGAwGg8FgMBgMhgIwA5vBYDAYDAaDwWAwGAwFYAY2g8FgMBgMBoPBYDAYCsAMbAaDwWAwGAwGg8FgMBSAGdgMBoPBYDAYDAaDwWAogEaJnTAyx2effYbDhw+jtrYWs2fPZodiFGG327F582YMDAxg4sSJaGpqGrLd7/dj7dq16Ovrw6xZs+gxjmc7Izsgx+edd97BtddeC7VaHX6+t7cXGzZsAM/zOO2005Cfnz/kfbG2MzJLV1cXPT5arRYLFiw46fg0Nzfj888/p88vWrQIOp0uru2MzM+tR44cwbhx4zBt2rSTtm/ZsoVur6+vx8yZM+Pezkg/ra2tOHToEJYuXTrkeZ/PR+fS/v5+uo6qqalRdDsjPZD1VG5uLiZMmDDk+ZaWFmzfvh0qlQozZsxAWVnZkO09PT10LCcsWbKE7iOe7Yz08Pbbb9O1UF5e3ojbd+/ejba2Npx11llDnj948CA9/gUFBXSuJXN2PNsThePJ6o0x6giFQvj2t7+NTZs2Yc6cOdi4cSPmzZuH3/zmN3QQYWQ3ZLC+//776URQWlqK1atXY/ny5fjlL38JjuPogH7zzTdDr9ejsrKSbifH+8Ybb6Tvj7WdkT3cd999eP/997Ft2zZ6vKSFwJ133kkdIx6PB3v37sVf//pX+rec7YzM8p///Aff//73sXDhQuooO3DgAB577DFMmTKFbv/HP/6BRx55hC7G9u/fT8fkp556ik7gcrYzMgdZEn3ta1/D1q1bMX/+fKxbt44aZGRsJgSDQXz961+nCzJyPa5fv54ex1/96ld07I61nZEZ3G43br31VhQVFeHPf/7zEEcZmUtNJhMqKiroXPqd73wH119/vSLbGemBGEnkNyfrqptuuin8PJk3H330UXoNBgIBej3/93//N6655hq6nVyf9957L+bOnQuHw0HH8r///e9hp1qs7Yz0zbnf/OY38cYbb9CA1HCIc+vSSy+lgaann346/Pzf/vY3elu8eDH27NkDo9GIJ598Mmykx9qeFMTAZow+XnnlFX7+/Pl8d3c3/butrY3+TZ5nZD+nn346/9vf/jb899GjR/mZM2fyr732Gv37gQce4L/4xS/ygUCA/v3BBx/wU6ZM4VtbW2VtZ2QH//rXv/impiZ+4sSJvMfjoc+RY3bWWWfxjzzySPh1Dz30EH/eeefxoVAo5nZGZmlvb+dnzJjBP/fcc+Hnvv3tb/PXXXcdfXzkyBF6zDds2ED/9nq9dNsPfvADWdsZmYWMwWQs7ujoCI/NU6dO5d9991369wsvvMAvXryY7+3tDW+fPXs2/9Zbb8nazkg/x44d46+++mo6Dt99991Dtn3zm9/kb7/9dj4YDNK/yXEmc6l0/JPdzkg9a9as4RctWkSP79NPPx1+ft++ffykSZP4TZs2hZ8ja2RyPZPj4/P5+OXLl/N//etfw9sffPBB/pJLLqGPY21npJ5gMMg/8cQT/OTJk+nx3bt374ivu//+++m8etNNN4Wf279/P9/Y2Mhv3bqV/u12u/krrriC/8lPfiJre7KwUOco9uacc845KCwspH+Xl5fjvPPOo88zshubzUYjIldddVX4uerqakydOpWmFRIv67vvvks9rFJKMUl5IWlN5PlY2xnZwbFjx2jU68tf/vKQ50laMNn2hS98IfzcF7/4RVrqsWvXrpjbGZnl9ddfR3FxMa677rrwc7fffjst8SDRy7feeot60Un0k0BSv8mxJM+TzKNY2xmZhUSeJ02aRDOLpLG5oaGBRrQJb775Jp1rrVZrePvZZ58dnntjbWekFzJmXnjhhfSaPeOMM05K7X7vvfdo+Y6U+XfuuefS15K5NNntjNRDopVkjr3hhhvC6+HBa61bbrmFRp8lzj//fHrcduzYgU8//RQdHR1DxnIy15KMMRKpjrWdkXq+9rWv4S9/+Qu9j8Srr75Kx+2LL754yPNkzCVjuVSiYzAY6FwrjcWxticLM7BHKaTWYPz48UOeI7Vi5HlGdkPqd3784x/ThZcEWZgfPXqUpqWQ2kySzkYWdYMhf5PjG2s7I/OQ40lS9kmq2vD6S3KMSN0tSVWUIA4ykmJItsXazsgsxAFCynFI6j5J/ScL6ZKSEjz44IPU4TXS2EyuTZJKTmpAY21nZBZiWJPaaXJ8CU6nk9b1SQY3SSOMNvbG2s5IL2TRTNKESVp4Tk7OkG2kHpsYW5HWUsluZ6Qe8lsT5yQpxRpegkHKJ//f//t/Q54j6ycCWWuRa5U4QwanA5P6eVKDS45frO2M1HPeeefReXZ4XbUEmTMfeughWoIz/Pomx2j4WEzOF6Jv09nZGXN7sjADe5RChLGGCy1YLBb6PGP08fzzz9OL+sorr6S1JIThNSBk8CDHN9Z2RuYhNV8k04DUbsm5dgcfv1jbGZnl+PHj1Oi64ooraLSS1E5fcMEFYRGcSGMzgVy7sbYzMguJYJBF1h133EHr6sk9iXKQKCWpzyZRsUhjb6ztjPRDjiURLhoJ6ZhEWkslu52RekjtbDwCr7/73e9oDS8RoyPj7fBrlWQimM3m8For2nZG6rn44osjisqRjC+id0AyDAZnKUiQYzT8+ElzrXT9RtueLExFfJRCTqzhYmbkb6ZZN/ogC/Nf/OIXNAJGJgrJczbcGysdXymNNNJ2RmYhqUpPPPEE/vWvf0Gj0ci6docf32jbGZnF6/Xigw8+wAsvvEDLOgjk+n3ggQfo8yR7YaSxmUCOX6ztjMxCHJ3kuiX3JIJFugCQbCOSYUBECskxijY2R9vOyC6kuTTSWirZ7Yzs4g9/+AMtw3v22WfpMSLHbyThQfKcdHyjbWdklr///e/U2U2E7eKxkwiR1lpKzsUsgj1KIV4WcmINhvwteV8YowNS43PPPfdQL9zVV19Nn5O8dS6Xa8TjG2s7I7N873vfowqjRH30ueeew8qVK+nzxODeuXPniNfu4OMXazsjs5DoBWn1IhnXBKKHQGr1SMoouT5HujYJ0vUbbTsjsxAFcHKMX3vtNfz617+mWQpkIfatb32LlgCQUo1IY2+s7YzsQjomkY5XstsZ2QMpE3jmmWeoUSal9JNjNPzYEchz0vGNtp2ROY4dO0YdJiRy/dJLL9G1FunIQTLMyGPiII1kJxEirbWUnIuZgT2K057ICTYYUsM7vBaIkb2sWbMGd911F37wgx8MaStBanzIQo0cz8GQ403qRWJtZ2QWko5IIl5SPTXpwUkg0bDu7m567ZI2a4MHdhIlIxEycvxibWdkFnJ8hnu9JbFBUo9Jtg+/NsnfJPpZVVUVczsjc5DsAnLNEiEk6RiTesuLLrqIipyRqEakuVe6NmNtZ2QPdXV19DiPdD2StVSy2xnZwe9//3tqXP/zn//E9OnTw8+Ta5VkDJJxW4L8TbKUpLk42nZG5uB5npZUkmMhrbXIOomsm8hjoqERaSwmDlQiChxre7IwA3uUcuaZZ+LDDz8MC7EQ0SuSnkieZ2Q/n3zyCb761a9SYYbLL798yDYSASFGGhHukCDGGVGtJMc31nZGZiE9NomInXQj6qYE4kghvc6JQBYZwN95553we0iUjIipkMk/1nZGZiHdGz777LMhi2oiwkKE6UitLrkGiXIxUX0ffPyWLVtGjbVY2xmZgzhKiNG0adOmIc+T400WYyQ1lBw/crylRTdZ0H388cfhsTfWdkb2QGrjiZr/YNVgkmVEhLBOP/30pLczMg/p5EGyUUhUc8KECUO2LVy4kI65RAlegvRZJqKipCtErO2MzFFTUzNknUVu5Fqsr6+nj0lPejLmkrFbCnIQyLVKugkQx1is7cnCarBHKWTR/sorr+Dmm2+mLUCkBd7g1j6M7IQo0pI0xMmTJ1NvKBn4JUgN9mmnnYb/+q//osfY7/dTTyl5zfXXX4/Gxkb6uljbGdmtaktKAn70ox/h4MGDNGpGvOvE2UJaNhFibWdkDrJwJm1/SNYJuQa7urrw4osv0oUcOT6zZs2iomeknQsRXyHe9I0bN1IhQ0Ks7YzM8sMf/hB33303HA4HLQUgCzBS5vG3v/2Nbr/11ltpqzbS/ocs0N5++20a7ZBKfGJtZ2QXpNsDWUeRSBhZnJP6XHJtEyEsJbYzMgcxrB9//HE6zkqlWhILFiygTjNS+kGc4iRIQQJWZBwmQmhEh4E4UKJtZ2Q3CxcupGMwGYtJGde2bdvojczXcrYnC0eaYSuyJ0baIZ7xl19+maY4kIGdqNoajUZ2JLIckmpInCMjQWp3yYVOIMeVTBDkOJN2E8SRMphY2xnZAemZSQxksnAfPCmT+nuShUKMMhIVHVzTK2c7I7OQqCQRKCSp3cRgHuzckvpdk5ZepN0ayVKR2jzJ2c7ILMTxSQzj9vZ2Gq0iDhXSik2ClGuQuZe0iCEOTjL3kvNA7nZGZiDHhGQWEGf0YEg2CplLSW0tqekc3hIo2e2M9EA0E0gmEDGeJd0TIjo6EuSaJM5OAnFwkvGczLXDx3I52xmpp7u7m9Zck84skeZKMqeSsfu2224LP0cCFCRDjPQ9J1mAJK18cAvUWNuTgRnYDAaDwWAwGAwGg8FgKACrwWYwGAwGg8FgMBgMBkMBmIHNYDAYDAaDwWAwGAyGAjADm8FgMBgMBoPBYDAYDAVgBjaDwWAwGAwGg8FgMBgKwAxsBoPBYDAYDAaDwWAwFIAZ2AwGg8FgMBgMBoPBYCgAM7AZDAaDwWAwGAwGg8FQAI0SO2EwGAwGg5F6VqxYgW3btsV83ezZs7Flyxbce++9UKnS70snn71mzRr62Gq14qabbor5niNHjuD1118P/52p785gMBgMRjKwmYvBYDAYjFFscP/xj39EIBBANrF169aEv9emTZvoe0OhUEq+G4PBYDAYqYRFsBkMBoPBGCUsX76c3iT6+vqwfft23HPPPdDr9UNeu3jxYmSakb5XJGpra/HVr34Vf/7zn7Fhw4aUfzcGg8FgMFIBM7AZDAaDwRhjkCjw+vXrw2nW5O+9e/fiqquuwocffojW1laUl5fj3HPPhcFgwNq1a7Fjxw4UFRXhvPPOg9lsHrK/PXv2UKPX5/Nh2rRpWLhwYULfq6enh0bdjx8/TlPHFy1ahJqaGoX+awaDwWAwMg9LEWcwGAwGY4wxPM2a/E0iw5dffjk+/vhjdHd348EHH8QNN9yA+++/H48++ii6urrw+9//nhrhXq83vK+f/OQnuPLKK2ntN3nNt771LXzpS1+Cx+OJ6ztt3LgRZ511FjXwXS4XNdjPP/98PP/884r//wwGg8FgZAoWwWYwGAwG4xSARI+JYXz77bfTv6urq/Gzn/0MVVVVeOqpp+hzl1xyCa655hqsXLkS55xzDl566SX885//xMMPP4yLL76YvuaLX/wifUyM8e985zuyP/+3v/0t5s+fjz/96U/h584++2z09/cr/r8yGAwGg5EpWASbwWAwGIxThIsuuij8ePz48fSeRJGHP0dSyAn/+te/MG7cuLBxTaioqKBp5C+//DJ4npf92SQVfdeuXfj000/Dz1144YU0is5gMBgMxliBRbAZDAaDwThFIDXWEmq1mt4XFhae9FwwGKT3Bw4cQHFxMR555JEh+2lra8PAwABNGS8pKZH12STaTdLRb7zxRlr/vWzZMpoyvnTpUtaOi8FgMBhjBmZgMxgMBoNxiiAZ0HIhNdxGo/Gk5+fOnUtvchXCCY2NjXj33Xdpj2wiqkZqwV944QWqdv7YY4+B47i4vhuDwWAwGNkIM7AZDAaDwWBEbJ1lMplo+6zBkBptojpusVji+uWIET1nzhx6k1pykVpuonBODHAGg8FgMEY7rAabwWAwGAzGiBD1cFIzTSLOEkSU7Pvf/z5t3UVagMmNhBOl8nXr1g15XqvV0qh6QUEBOwIMBoPBGBOwCDaDwWAwGIwRuemmm6gw2Ve+8hUqbEbqsd977z1qEP/P//yP7F+NGOLEyJb2U1lZSYXUyL6+8Y1vyK7jZjAYDAYj22EGNoPBYDAYo5Tly5fDarWeVFs9b9483HfffeEIs/T3YIiRS54j9xJkP+S5WbNm0b/J+3/xi1/g1ltvpX2sA4EA7Z+diDDZPffcQxXLSU/uvr4++hnks+rq6pL4BRgMBoPByC44Pp4eGwwGg8FgMBgxIKJlv/rVr7Bt27a4hNAIUl32zp07odGwOACDwWAwRhds5mIwGAwGg5ESiLFM0spJqnksjhw5gtdff51GuBkMBoPBGK0wA5vBYDAYDIaiSOnfiUDS2ckt3hR0BoPBYDCyAZYizmAwGAwGg8FgMBgMhgIw9zCDwWAwGAwGg8FgMBgKwAxsBoPBYDAYDAaDwWAwFIAZ2AwGg8FgMBgMBoPBYCgAM7AZDAaDwWAwGAwGg8FQAGZgMxgMBoPBYDAYDAaDoQDMwGYwGAwGg8FgMBgMBkMBmIHNYDAYDAaDwWAwGAyGAjADm8FgMBgMBoPBYDAYDAVgBjaDwWAwGAwGg8FgMBhInv8PkywKtUv6Wl0AAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig_res_pwr, ax_res_pwr = plot_hev_res_pwr(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "cell-11", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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376ZbbrmFJk6cSI8//jgVFRXRNddcQw0NDVrvf+LECbriiisk+H722WcluL766qspKytLbt+/fz9de+21NGrUKHriiSckwJ4/f36njwcAAAAAAACgD4sMrpcsWUIXXHCBJiB+4403qKSkhNasWaP1/q+//jqNHj2aHnnkERoyZAg99NBDFB4eTj/++KPc/vXXX9P48ePppptuomHDhtHLL79Mp06dog0bNvTwbwYAAAAAAADWyOKC66amJtqxYwdNmDBBc52Li4sEz5s3b9Z6/40bN9Jll13W5nouAZ87d658XlxcTD4+PprbPD09ydnZWTLiAAAAAAAAAFYXXHMgXFdXR2FhYW2uDw0NpczMzA735+vq6+spODhYSsJnz55Nd9xxh5R+h4SEyH2mTp0qWer09HT5+rvvviOFQiFl5wAAAAAAAADGsriGZlVVVfLRzc2tzfWcva6tre1w/8rKSvn42GOPybrriy++mP744w+68sor6fvvv6eBAwfSVVddRXv27JFSc25ixhnr//3vfxQdHW3UYnlL5eBg3+YjWA/sW+uFfWu9sG+tF/atdcP+tV7Yt9bLoZfjIIsLrrlcW13u3Rp/7erq2un3zZgxQ5qesaFDh9KhQ4ekeziv1/7vf/8r3cdfeeUVioqKovXr19Ojjz4qgXbr8nN9WrFzFzpL5+3d9gQFWA/sW+uFfWu9sG+tF/atdcP+tV7WvG+5SrexsZFsUV1dHTk7c2dvB53u7+TkRA4Out23zwXXgYGBMkOstLS0zfXc0Ezb6Cy+P+NGZq3xuK2//vpLysy//PJLCbLPOecczX25oRlfZ0hwzaO4uL27peIzNfxmUVFRSwoFRnFZE+xb64V9a72wb60X9q11w/61Xta8b1taWqisrJiqq5XVvbbHrtWca91nXXt4eJGvb0Cns6z59aJLNtzigmsuB09ISKCDBw/KWmk1zkRzyXd73BWcR3BlZGS0uT4nJ0fWYfMZG36RBQQEtLmdb0tJSTF4O/vC/Gh+s+gL2wn6w761XsbsW0Vzi7zfOWJJiEXC3631wr61bti/1ssa9215eTHV1laRp6cfOTu7dBosWjMHBztSKHQLrPm4qaGhnqqqSiUg9/FpGzPqy+KCa8Zdvrmk+9xzz6X4+Hj66quvKDc3V5qVabNgwQL65JNPaNq0aXL/nTt30q+//irrqrkRGo/fevXVV+Uxvb296dixY7RixQoZ9QUAYA2qG5ro6i920zPnJdGQcO/e3hwAAADoYc3NCk1g7elpu8cCjo72ep004ZMQjANsLy8/sre3t67gev78+ZSamiqZai8vL6mBf/PNNyXbzH766ScJlJcvXy5jtRYuXCiNzebMmSPBM3++ePFiCc4Zf++TTz5JZ5xxBvn6+lJ5eTldffXVdMstt/TybwoAYBpf78qmrLI6Kqiq11y35nA+ldQ00qzkEPJ2dcJTDQAAYMV4nXXrYBF0p37OFIomsrdX9gAzhF0L58ItFHcOr6iokOxz6zMIHBxzx+/Y2Ng21/Pi9cLCQgnCubt4e3w7r+Xm241ZtM4lJCUl1WTJZ2u44VppabXVlbrYOuxb62Xsvp3/+S5KKaymJ89NpAsHh0qJ+GUf76Ds8jpydbSnCwaH0NwR4RQXYPnNGK0N/m6tF/atdcP+tV7Wum8bGxuouDiXAgLCyMnJ8ADR1jLXujx3/v4efXPNdWucleZLez4+PnJpj7uJczfwzvDt7ednAwD0dcXVDRJYs0mxysaPfN70urFR9O2eHDpRVE0/7MuVy5h+vjRvRDhNjgsgB3vbW4cFAAAAYC4WHVwDAED3DuRUyMf4QHfyc1eebeWmZpcMDaOLh4TS7qxyCbI3nCiiHafK5DJnWBg9OD0BTy8AAACAiSC4BgDo41KKlFnrpOCOlT7cJXRUlK9ccivqaPneXPr5QC6dO1DZwwIAAAAATAPBNQBAH3dSFVz3D+oYXLcW5u1Kd54RSwsn9CMXR8M7YQIAAACYW2NjI+XmZpOnpxf5+2sfkcWNrAsL8ykkJJQ8PDoeB5WVlVFJSTEFB4doXW5sagiuAQCsJbgOdNfp/q5ODrImO6usltKKa2QdNl8HAAAA1qm2UdlJXBt7O7s2J927ui93a2l9zKDPffWxfv0f9L//vUB+fv5UW1srlXhPPvlfGjJkmNxeXl5Gr7zyAm3ZsomCgkKooCCfLr54Nt1xx93S0IwbY7/44jO0deu/FBgYLLfPmnUJ3XXXf4watdUdBNcAAH3c0rnDpCs4r7nWFf+Tun7ZXiqrbaQvrh5BSSFeZt1GAAAA6D1nvLm509u4Gerrs5M1X89csoXqOum2PTLSh96bpwxw2awPtsuxhDYDQzzp86tH6r2tzc3N9PLLz9Pixf+hc8+9QK776KP3aM2aXzTB9XPPPUWFhQW0fPkv5OfnRydPnqA77rhZxi7feONCevPN/6P09DT69tufKCAgUO775JOP0P79e2n4cP23SVeoCwQA6OMCPJxpaLg3eTjrd740LkAZjKcW15hnw6DP45FumaW1VNPQeWYCAADAlFpaWmRm944dWyk7O0uuu/HGW+jBBx+Vz4uLi+jffzfRDTfcLIE1i4/vT5deOodWrvyRGhoa6M8/19FVV10rgTULCgqmJUs+NGtgzZC5BgCwUbEB7tJJPL0EwTV0VFhVT7d+t59OldbKrPTzBylnpccHYlY6AEBfs/GuSV2Whbe2btGETu/bfojnyoVjdb6vrhwcHOi5516iF1/8L82bdwlFRvajSZMmS7DMa69zc3PkftHRsW2+LyYmjvLz86QEvL6+nqKi+lFPQ3ANANCHbc8opX/TSmlUlA9Nidfe7KMzIV4u8rGwqsFMWwd92Zsb0ySwZlweuGJ/Lv2VUkRrbhlHTg4ofAMA6Evc9Fj7bK776mPMmPG0fPkqOnHiOG3btoV++eVn+vvvv2jZsh/I29tH7lNXp/wfpVZTU00uLi5SGq68vY56Gv47gtnllNd1uhYDAIzDmeevdmXRptQSvb830EM5E7sIwTW0U9eooPUpRfL5x1cOp6Vzh9KZCYE0e1iYJrBubmmhH/blUDne3wEAwIRqamro6NHDsvY6IWEAXX31dfTAA49KVppLwsPDIyTA3rZta5vv4yB84MDB0l08LCyC9u3b0+b2U6cy5DHMCZlrMCvuRjz3050UH+BBXyww7xoHAFst3WXBXspAWR9BnsrvKaxWPgZA65M29U3NFOzpTMlhXpp56bwOTm1reim9+McJeu3vVLp6dCTdPDG6Q2khAACAvvh/zgMP3EOTJp1BM2eeK+uvv/jiU0pKGkRhYeFy+2233Umvv/6KlJAnJQ2kjRv/luD6tdfekce49dY76IUXnpbxWxxwnziRQkuXvk0vvPA/GdtlLgiuwaxWH8qnRkULHS2ooqbmFnK0x4EXgCkVVCpLuoM8lSXe+ghUfQ8y19DegGBPevb8JPmcD2LUWn/Ob+cJQR6UUlhNH209Rf7uzrImGwAAwBhubm707rsf0bfffkUff/y+nNjlLuFXXrlA83/ooosukfLvNWtW0T///E3R0TH04YefUVxcf7n97LNnyOOsWvUj/f33n5Lt/t//3qChQ4eTOSG4BrOuBeU1euy+M+MRWAOYQYEqcx1iQHAd5u1CiybHSAab/3G1DpzAtnEH+nMHBnd5n/Ex/jQu2o8+2ZZJ725Op0+3n6KLh4S2mZUKxqmqb5KlVYnBnngqAcCmRERE0r33PtjlfaZMmSaXzkycOFkuPQn/AcEsvt+bQ7cvP0AlNY3UP9CDLhgcgmcawIzBdbCqOZk+PJwd6fpx/ejCwaEIrMEgfEKGS8K5fJwb4606aN61bLbmqV+P0VVf7KY/jxf29qYAAIAOEFyDyfE6vQ/+zZDPp8YH0EdXDpesNa+/BgDTNp2qqle0WT8NYCxuUPb17mypPtKFs6M9XTEyQj43pLEedP73veFksXz+2OqjeJoAAPoABNdgcqnF1VRa20g+ro704qxBdLygiqa9tZkWrziIZxvAhLgyhDk72JGHs2GjMNKKa2hregkVqTLgAMcLq+jV9SfpxT9SdH4yuNkZO5RX2abpGRiOn0s1RXMLNSqa8XQCAFg4rLkGk4vydaPXL02muiaFZKyj/d1I0UIyL7Wyrom8XPGyAzAFnlO9auFYqqxvMris++U/U2hnZrk0r+pujS3YhrRiZZVRjL+7zt+TGORBb182hAarOouD8fiExa+3jqfzlm4lPl2RW1FP/fzc8NQCAFgwZK7B5DxdHGlSnD+dnRgkX/u5O1O06oCAMyHIagCYhoO9HYV6u1JCkOHNjnzdnOQjZhVD6+ojFhuge3Dt6GBP42L85P0fTIdn0ccHKvdDdjmWVgEAWDoE19AjpvYPkI/rjhXSD/uUHcQBoPf5qIPrOmWJOcBhVTkyj+OC3jc41IuGR3iTAyoCAEBHSGT13nOGU8xgctzVtEHRTKOjfDWzdy8fHk5f7MiS0raPt52iy4aFoXQQwEib00poR0YZje7nQ5PjlCewDA2uy2qbsD9AmmgdL1RmrpPDvPV6RnZlltHGk8USlJ8/CBMijFHbqKCHVx2ROeIPz0jEKEsA0ImDg7L/SkNDPTk76z9FxJY1NCh7zzg4GBceI7gGk/t8R5ZkPv538SCa2l/5h82lq/8snkxnvb1ZxrVklNRSjB4lhwDQ0a5TZfTVLj5p1WJ4cK3qgYCycGAniqqleZafm5PMQdfH0fwqWrYrm2YMCEJw3S4bUtOokNF3ujpRWC0nz44VVNHtU2Lx4gQAndjbO5CbmydVVSmnPXCAbYt9MJqb7UjBDZ90fI/mwJqfM37u7O2NK+xGcA0mV1bToFlr3ZqLoz1dOzZK1nj6uOGlB2As7srfet20IcK9XeXjzswyyZa5ORnWdRysw8kiZdaaM6b6HpCF+ShfS3kVdWbZtr6Kq7be2ZRGQ8O9pQnhYzMT6a+UIjpZVEO3TYqW9eraOrazxGAPzXV80oP7LAAAdMXb218+qgNsW2Rvb0/NzfpNWODAWv3cGQMRDpjtgJ8zH+3dPDEGzziAiZSp/tb83Q0PrifH+VOolwvlVdbTlrQSOkvViBBs0zlJwdQ/yNOgtWfhqkx3TgXGurX21j9p8nFvdgWNj/GjXZnl9OSvx+Q6nqYxKzm0w3OZoirN7x/oSbkVdXTLt/uopkFBvy+aYJNZKADQHb9H+PgEkJeXHykUtrfky8GBf393Ki+v0Tl7zaXgxmas1RBcg8nX69U2Ks8U+RlxwA8A3StVzbn2dWtbJaIPzpo9OjOB7MiOBoV64Wm3ca5ODtJAyxC8/IcVVzdQfVOzVCsBkberI1XUKQ9wz04IlHXpat/tydEaXKeX1MjHuAB3OVHNY7hYeV2TUZUqAGA7OFi0tzf8+KCvcnS0J1dXV6qtVVBTk37Za1PAfz4wSyaN51t7OGsvL21qbqFlu7LoiTVH8ewDGKFUswTDuIPt8TH+MkYJM+jBGLx+3121rACl4aepiwAenZFAlwwNo+2nTpdq8prqrLKOI7bSipXBNfcm4RMeXE7O0lXXAwCAZUJwDeYpCXd36rR0Lau0lt7cmEa/HimQ7rIAYOTfGzJZYAJcCv7WxjQ5+cnr7/XF7/mhqtJwLmUGoiZFM/Xzc6NgT2c6W7Xk4qsFo+iVWYNkDTZbn1LU5qmqqGukElVVSoy/myaD3XoGOQAAWCaUhYOZylQ7z6TxmfiLk0Npxf5cKYkbFeWLvQDQi0swuIR37dECKee9bmwU1nTaqKp6BX2+I1M+nz00zKDHCPN2pdTiGk0Zc1/++8our6P4wNMNxQxddvHpVSPaXOfu7EDTEgKppKZBstrqrLRafmU9uTnZk5eLo6bDOG/HlvRSaYIGAACWC8E1mFRSiCe9eslgctbS/bS1WckhElxzh2LOlqBBC4B+nB3t6Zebx0lpeGdLMHTFNSbPrj0un/MMem9XrOm0RYXV9Zo1wlyKbIiHpveXgLKvV1P83/qT8v/prcuGUKSvMntsapcODaPZw8I7XJ8Q5El/3zmpzXi8+EBkrgEA+gIE12BS/u7ONCW++3m76mwAN3kpr20iXzQ/A9CLvZ2dZLzaZ70MDdR5vSw3SyqoakBwbaMKK5Vr+IM8DW+Ao25q1pfxCV+u5ODRV0VVDWYLrtufVG59opn/vluPs1T/z0TmGgDAsmHNNfSK1g1aMkpR5gbQ2wJVAVVRVd8u5wXDFaj2fZCH8Sds+rKM0lrNkgtjO+h/vTubLv5wO324JaPT+xzKraB7fjxIKw/mydeVqs7ircX6u0sX9ynx/tSo6PnutwAAoBtkrsGk9maVU05FnZSHxwV0vVYt2s9N1pbxgcywCB/sCQA97Msup/UpxTQo1JNmJgUb/dxxQMVZscIqZfYSbI+6CVmYj+HB9anSWvp+bw65O9nTbZNjyRI0t7TQx1tPSQfusxIDaVr/QHKw73xW9OG8Svk4MMRL0/nc0Ix8dlkt5ZTXddkgjudfb0otkf+HnK1+5JcjNGdYOC2eGqvJZPMJ6fZrtwEAwPIgcw0mtepQHj356zHacOL0HM/OxPi7U6CHs3RTBbBFPJautebmFp2zUofyKumrXVltZuaaJHNdjeDaVnEDLxZuRGk3rxP+Znc2rTlcQJbi7xPF9N6/GbTuWCH976+T1MkgCw116XVhVT2ds3QLXf3Fbq3jsnShPlkV5Nn5CYsLB4dIsJ9SWE3/+emQNBisamhCLxIAgD4IwTWYVGW98uw8dzntzn/Oiqdfbx2vtaELgC1YujmdFn2/n47mKzNlG1MK6fx3t0pW2hSd+fXhr+p7oH5csD3ZZcrgOsKINcZBrU7StD951Ft+2p8rH10c7WnO8DBZz9wV9bgrnknNuBfBjV/vlcyyvjhAZzyKqzM+bk40IcZP8zWP3Xro7P5a78sn39Tz7QEAwPIguAaTqqxr1Dm47u4AB8Da8XzbHafKNBnD5buyJCh5Ys3RbjPYZbWmDa59VB3Cy1V/w9C7eB3u/pwKaXLVU165eBB9Mn84jTFiPGKwl4sEsRxY56pe171dEs7PI/v4yuF04/jobr+HM8hsWIQ3Lb18GEX4uMrcaZ5woS91QN5d48H7zoqnUC8XOcn18PQE6bje3tojBTTljU301G/H9N4OAADoGVhzDWbJXHu66v7S4rJwe3s7BNtgU/igm9en8tLPcdHKrNVzlw6hf44XUk5FPR0rqKLkMO8eC655LeqAEE8JJKB3FVTW003f7JMANSHIg+aNCKdzkoINHo+lK17v27pDtSH4pGk/PzcJUNNLaijKzzydtnWVVVZH1Q0KCfjjVB23OTN9orBa/u44a9xaWU2j/G3yqd/EIE/ydHGk2ybF0GNrjkpwe+vEaJ3Ltbm8m7vvswifrp8Hvv3nhWPl53b2+Lx0Q9GiXNcOAACWCZlrMKnKemWXU28dMtfsxT9SaMa7W+jdTekGr2kD6IvUpd8DgpUH8IwP9AerAuqj+VVdfr86uPYz0Rg7HjfEwYa5xg6B7jgoVZdUc5D633UpdOH72+itjWnSXMvScT8N9e/R29RLLvgkhaOqidlDK4/Qo6uPSt+C9ngs5LrbxtOSy4dq/i7P6B9Abk72UmGi7Xs6o87c8xx6Hzfdqrm6Cty5CSjjBmkNTehVAgBgiRBcg0mpR4joUhbOOKNQVa+gT7dn0r0/HerREkiA3qQuPVV3JFYbGOopH48WVPXommuwHHzC5Y3ZyfT0eQPorjNiKdzbRdb9fr4jk97ZlG6Wn8lB46vrT9K6o8Y3IlNnq9XLHXpTXVOzrHdOClb+XbH4QGXwn1pc0ybL/H/rT9Ifxwolez+63+nSeDcnB5raP1A+X7FP99LwBkUzDQnzlhFauma7uxLg4SyBOp93ySrHyWgAAEuEsnAw6dq2KlXm2kvHsvCLBofQb0eUB3M8JiWtpKbbEV4A1uBEkTK47h/U9vXeX1W6mt7qwL8nysJrGhS09miBfLxqdCT1FG74xM/F6ChfctKyztQWcQXDxFh/zdfzR0XSptRi+nZPjpSIq3FmeE9WOZ030PCScW6O9fiaoxJc8kioMxMCjR7txlMgWLEFdJ6flRwql9ZTKdRjtbj8Xm31oTzpcn4wt0KWSLTvCfL/7N0FmFtl1gfw/7i7+9Sn7kYFp6W4O8Xdd1lgYZfd/YBlF1mWBRZZHIq7liKFlgp19467u898z3mTm45PJpNMkpv/73mmY5lMmjtJ7nnPec85f0o89hRUY26H49Kf0dGBeOXiKbAWN2PJ/Z7CGmSV1fO1kojIATG4JquRpPPjZ45XAXaImcH1rJQwfH/TXJW1lqYz6zLKecJALpW5HmUMprue+Gtdhnuz7PLpKsBOslIZd2NLKx5ZcUB97OXhhvOmxNt8FJCUOC99e4tqFhXm54XTJsTghnmpDLK7kDFNkjnVsqcaCQY/2paPZ1al44wJsTh3SjziB7hnXq5jfWaF6fNEK+y5l2D/hNGR3fYz21PHBmFaR/OOM92/3FWo3u/Mr+6x/8fE+GC8f+UMtSd6R16V2pd9wpgoDDVTcM1910REDonBNVn1BHDhiIgB/5ycgM1JCVPBtRZwEOmZdAKPC/ZBbVNLt8y1BEezkkP7DZKkK7O8WUuQr5fakyp7fR/78RBGRAZgurFrtGzXsEWgLZlYCaxFeX0zNmZXmvbFujIpzW5ubceslNA+5yPLMZK/E9mD++bGHDX3XJ6DL5meiCmJIWb9rirjVh5tUUUbPzUY2l5lR6im6qlBWLTxPtUWsKQCYEd+NTzcgC+um93r9UnQvSGrHDd9sENVjBw9MgKenr1XW9jicaM1HMx3gr33RESuiDV45BBkD5zsJfPgeC5yAVL+/NKFU/DjzUd1C0QkYH72vEm4/6TRQ3qbJKi978RRps8lYBPvbc7F3H+twvrMcqv+Pgk8fthfrD5+5NSxePyMcbhpfqrNs+XO4PXfstW4pf39LDZKdcHHV83E42eMVwsyshd35cFSXPveNtXZ2hxnTozDtMQQNQLqvaUzVGZUL37cX4LFz69Te6k7MmWujWXr2j5zKfnuazFDTE0MVfeVVI2sSe/7MXHpm5txxv9+U2PVrEUmCCwZF60y6URE5HgcY3mZdEHK5DZlV6h5nlrGy1xS7vjTqEieWJNLsTSQlP4En+7IV12Zz7JCplEje1PlMfz17iJTw7TfsirU+B+Zvb38xrlW+13S7Cq/qlEF9QuGh3faMyyZ/e/3F+PEMdEumckuNd732t7l/kvGI9SbjJh64ddM/HigBJ/tLMCisf3vnZbxay9cMBnW1NrWrpqjlcp+7kWjEeBtn1MNKZ+WygjZ8tCRFkCX1DSqRZ7Vh8vU57LfvD/y97h4bDSWbcrFN3sKcXxaz6Xhcr1Sui0N1ayZyV8wIkK9ERGRY2LmmqzabfbBb/bhOQu62coJIjNWROgUYPY2bie9tFad3H9l3CdqTWF+hoBOK9eWbLJWPlzf3DlIGYwdxmxeWkxgt2Zcl721GX/+ep9VM37OQgJTaTKmdYceCGkG+bclafjgihlqlJS9yPP5V7sL8cP+EuSU2698eUuOYS+5dOzumrm++7iReHDxGLUdQYJw0bGJXF9OGRej3v9yqBRVDYbHSVfy+JHAWpaG4ox9FIiISP8YXJPV1AxwDBeRq7rviz046+Xf8PPBkh6/f+8Xu3HUU6tVZqwnEhDYagyXlLzKFo12tJv29crXZC/2IWOHc2uYNywcT5w5HlfNTu72vRHGiQFr0g0ZRVcix1bKuyVhL03eBsrH0x2pEYZRU/2pqGvGl7sKVIdsa5tq3PP9yQ7zR1dZkzTW3G2cSd1xrJa2LeP8qfGqK3pbW7vqwC4N2MypFNC6gEtXf9kXv2KvYWtDV9oYMqnk8u5jX7YlZNFNmgF27IBORESOgcE1WU31AMdwdfXsqnSc+8oGq8xZJXJkWeV1yKloUBm+nmiZXK00u6uSGssym+a4bGYiVt46D3ceMwJrM8pQVtekggmxv5/Z2wMR7Oulmm/1VOKqfW353mJVXutKtPFVsnDS29+HtewtqsZfv92Pv3273+rXfcJoQ7m0dDO3x3O6LATJdgYJbvvKHEcG+uD3x43E308bN6Drl33P4sudBT1+P9c4hzoh1PpZ65P+uxanvfSbQ8wRJyKizhhck9VUGYPrQG9L5602I7O8HpllhpMSVyZZl4PsnK7r/gQdx251FepryFhW1B/p5NyRNkJIa8xkTdr2DLmNt320E4v/uw7+xmC/vwZb1iL7h+V3SvCw14oBvTMF14NZONmcU4FbP9qBf3xvGK3Wm+wKQ3CWZIMmZiePi8Yp42NMC6dDTQs8e/u/7SuqwU8HSkyN+wZK9l3L2kdBVSOqeygNzzXet1p3b2vS/jZkTzsRETkWh63fraiowKefforCwkJMnDgRixcvhrt772sBDQ0N+OKLL3D48GEkJibi7LPPhp+fn9nfp8GrMpaqWjrbVFvhl5MeV/fAV3vxa3oZ/nHaWBxnzACRPtQ1taLSuIUitpdRWqF+hqfmil72cxYZRwhpI4WsraG5Fae+uF593G5s9CRNsqz12JRsuGQ0x0QH9ji+z8/LAxPiglQzNcmWj40JgquwRnDd0NyGdRnlqnS5LzkVhoXMRBtkV2Vs1e0Lh6m+AHlVjaqEueOsaVvrL7j97+oM9Rx76vgY3HP8yG77/vsjTdFev2QqxsYFqzF25fVNPQb3CSHWP8+I8PdSzdJKa3t+fiAiIvtxyMx1QUEBTj/9dKxbtw4BAQF4/PHHceedd/Z6+crKSpx33nl4//33ERYWhs8++wznnnsu6uvrzfo+WYeWZbM0uJ4/3NBM5udDpXh/S57LHhaZvSonfeJvy61frkn2pc2nld4EvXURDvM3PIYqjQtWvWaug6yfuRYXvL7pyG3x88LYmECMigpQwbC1SnZfXJOJf/98uNfLaPO/D5bUwZXIOKinz5mAq3vYi24ubUa6ZGX7KquXAE3YavyWvBZole1an4ChEhPso8aTjYsJ7HMB68tdhWpclzSSG6i0mKBeS/dlwWJiXBCGm7n/3aLMtXEhhoiIHIdDZq7/85//YOTIkXj++efV52eddZbKXK9ZswZHHXVUt8s/88wzaG1txZtvvglfX19cfvnlOP744/Hhhx/isssu6/f7ZL629nZU1bcg1Hjy31GlMcsWYuGe61FRgRgW4a/GDL25IVs1nHFFazOOzE6dmRyqsogDzaqQ4yowlYT3nnXWGpXJLN3eFmBEfzN5LdUxXJBRSinh/lh2+XSrXb+M4BLxfeyF1ZqaHbRiEzVnIE21IgPM61rdG22PcV2zoUqit8Z3RzLXtgmuJXt90/xhqhLB13Non8NkrJy89abjIvD42N6DZEtdPSdFvdkCg2siIsflkJnrH374QQXTmoSEBEyfPh0rVqzo8fJS7i0BswTOQt4//PDDKkA35/tkPimlW/T8Wny9u3sX4+vmpuAvi8dgckLnsScDoY2PkQCktqnn/aZ6d9iYqZMOto+dMZ6Btc5Il9++SsLNCa7fv3IG3rp0GpJtFBQ9ddYEnDM5DstvnGOTmbqm+6CPBYZpSSGqXPee4/g8bUnHcK3zdW97iiVTq5Uu2ypzLZbOSlILpZY2urSVjp3YF6X1Pw+8t8XmOz/egeOfWKm2OgwVLbgeyt9JRETmcaxXOylzKi1FeXk5UlI6r/gmJyfj4MGD3S6fl5enLj9lyhR8//332LJlC+Lj43HGGWcgMDCw3+/TwLz2W7Z6L/OsjxsV2Snwm5IYot4GQ04I5cRByt0kgz2hy3xSV5BRZgiuU8OtX05I9ufv7aEyZaP6KLGWjPTc1LBeuxyH+3urN1uRUU73njCq29dlZNO23Co1m3p6UufxRpZkrvvq4izZ1HOnuF5fjG/3FKGlrQ1zUsJUJ2tLyX1bUtukgutxsd33rEvDOhkl5eXhZrO9+/YiCwdNrW0qY96b40dHYdXhMkQHeuOktCiLM/N7C2tUU7OssnpMMN7PakSWmxs8bdTtPcL42OeeayIix+NwwXVVlWHepuy17kg+r6mp6TEYF//6179Ul9upU6eqTPWrr76q9lj39/3wcMvK7zytPLfSmjyMTWO099acrSnnCtrWtLWZ5TjRwhX/vjx0Spoq2ZP5uo58P9uKNsJlZLTh/y/ZETmJs+WxpaFz2sQ49dZVx2ObHOGP5y6Y7HCH5aeDpXjjt2xcPD0Bs4eFD7pbekKYr0s8xgfyuH15XSYyyurx0kVTEDuIyoTEMF/syK9CYU1jj/dxVJAPnj1vksp++lg44cEcRdWNqvxcFk1le8FQyC6txdn/26A6hX9+3eweLzMsKgCvXzZt0L8rOcxfBde5VQ2mxWVp/nf/l3uwcGQEnjhrAqxtdEwgTpsQg7GxQS7x+LEnvubqF4+tfnnY+VzZ4YLr3khTlp66hcteai34fvLJJ9XHV199tdqnLXutpTFaX9//85//PODb4u7uhrCwvruwOoLgYOtmfXbmVpoC67OnJiAtKcx0PzS2tOLLbfkIC/DCMaOj1X1kqZOd4L61pe9/dwyyy+uxJascxzz9K6Ylh+LVK2fZ9NiS4+jv2G7KLMOX2/MxLTkMp00e2r4Eo4yVJMX1LYN6Diw1zu8eERfa5/WU1jTi210FqGlowfVHj4CzM+dxq903w+JCBnUfj4wNRlhGOTy8PHu8njDZ8x5j+8qg59Zk4qVV6bhm/jA8cOrAZklbamuhYZ9+oK+XzV+rR8YG4bfMchTVNpt+14GyerS0tSMhPMAmv39BWAAWjO++QEe2w9dc/eKx1a9gO50rO1xwLd28RXV1daevy+chId1LjoOCDGVYJ554oulrnp6eWLBggeo2fskll/T5fUu0tbWjqspxO9jKSo38QVVV1aNVytOs5GBehXovJYZ/OslQMlpeXmvqgPy7D7apMrjffr/QNCuXLBPqAXi2talu0QUV9ab72VbHluyvp2Pb3Nom1aXw7LCwuHpvEV79NQP5ZXWYnzy4bRgDFepluB0ZxTWmv0lLFBn3XPu2t/V5PXsLqnH/JzsR6O2BcyfGmCo4nI25j1spB682jmlza24e1H185YwEXDUzUX08mOsZrFBjVjy9qHrIbsfeHENTyLggb5v/zljj/ucDBUf+fxvTDRVzoyL87Hrf0+DxNVe/eGz1y8NG58pyneZkwx0uuA4NDUV0dLSaRz137lzT1w8dOqRKuruSvdgyr7q2tvMLmMy19vb27vf7lmppcfzARv6grHk7E4J9cdP8VNVsqev15hlHukQFeqO1VdLbAx9r0rFk9If9xerji6cbTg5dUYhxTJPsP+96f1v72NLQWfTftapXwQvnT0JsD3uOtWN7+VubsaewBv89bxJmJB/Z31xoDEylP8FQ/w3EGvfmyj7e5uZWixfRnj9/MkrqmhDVz/9heLi/WrCraWpFbnl9n3u0nUF/j9sKY9Za+Ht6WOH49v48vHxPEdrQjpnJYabmZ7agNe6Tv5mh+nuVyh8RF+Rr89+ZGGL4/2WW1anfJfut5XErxkYH2uz3N7a0qZJ+OXZe3CZkc3zN1S8eW/1qtdO5skNu1lmyZAk++ugjFQCL7du3q7dTTjml22W9vLxw8skn45133kFjo2EfnzQwW758OY477rh+v0/mkwZbV85OxlmT4lTDmN0F1diYVdFpD2VfHZDNJWOG/rXyMN7emONyh2fZphw88NUerMsoQ7hx3JmUicq+a3J+dU2tKKtrVoFGbzOuNb7GvZRdO4abZlwH2i4g6k1ciK8Kdmsl2O2lC7U5xsQEYt6wcNXVui/yu2TfrJAGh3qnjTMM8PawWTMszYtrM/Hnr/epmeO2pI1b661ruS3kVhh+V0Ko7RdjtL/PrPI6tX1NRsdJ4Ctz7G3Zhf3UF9fj9Jd+Q2aZYSGBiIgcg0MG1zfddBOam5vVvui77roLV111Fa677jpMmGBoDLJ+/Xr87W9/MwXff/jDH9R+bNlffd9996lO4GlpabjiiivM+j4NnGSWl769Bc+sSlefS0MX0VMmbqC07JQEEarrqgvZlF2J5XuL1YmoNm5FFjJktjg5P+nerAXOEkD1RZvD2z24NjzW7NHhWYJhrfP05uzKIfmdw4xNsLQu+npW3Wh4nAdbYWxVTWMLbvlwOy56fZN6DulIthvkGmdca/evrcQZM7syb1tu01DQFn7iQ2wfXEtX+8hAb9XhX+aKb801NGWViQC23MYQEWB4fiiuNTwfEBGRY3C4snAhe6slc71q1SqVZZbAWoLhjt8fPny4qcGZ7NN+99131R7q3NxcFZTPnDnTVLLY3/fJ/C7WNY2tiAn0wbAIwwmZdIHV9lz3N7fWXGH+XvBwd1MnhJK1jbFCNtxZaIGTjOCRUr9AHw91n0uAFWrMZJPzKjGeCEvWub/nH23WdddZtkV2zFyL6Ukh2J5XhRGRlgVlB4prsDa9HCOjAnCUGR3HU8O1zKD+M3QSgIpg38E/1mUM1YasCtWEsry+uVPpt9yXsntHFnhs/XcU4O2JEF9P9X+T14lRUbYdgSnZY23iQsIQBNeyxWPjAyeqvdVSfvjzIcN+6zmphv4xtiKL0IdK6kxj7YiIyDE4ZHAtZD/08ccf3+P3JNDuGGwLDw8PzJs3r9fr6+/71L+3NuTgw235uHpOMi4zNsrRshEFViwLl9V+ORGUUvOSmkYXC647B04hvl4quNbKRcm5lRiPrzl7XLWS0sMdyqElcJDHhJBMmT1cPC1RlbcH9FPW3hvJ7P1nVTqOGRlhVnCtPf5lpJPejY8JwtPnTICHFRZ+ZYFSql/kOUXuu45/c1oVgGz1GYpFZskgVzbUIK+y0ebBdVNrOxalRavstT326Mt2B+lPcsyoCJv+Hu3/lj+E5fZEROTEwTU5HmkqJGSvaIC3p8qsSUZVSphNe66tdDKjBddasOkKZHSLlqWURk9iSkIwkkL94M1ZproqC48I6D8wHhtjKL/eU3BkckJlfYsKHuyZuZYKit8fN9Lin5cGfULb9tAfqeLoeN/pmdy3c1Mtnx/eUwAmz6GSMdbK+TvuX081ViDZ2kXTE1Df1IpRUX2PpapvbsUXOwtQXteMSQnBFt0XsnXh/pNGw14unTE0TTi1knetaoyIiBwDg2syW61xv5y2V1Re3LXg+g/HjUROZT3GRFsnK6EFDsUucEKtKa9rUiWc0scozN/w///LyZ0rNMi5aYGl7NHsT1qM4bGUV9Vo2Bbg54UQP08sv3GOuh57dwiW0tvle4pVwLRgRITNguupCSF4/ZKpiLbTYoIziwv2wfa87s3EtMy1rfdba04eG9PvZRqaW3HD+9tVo0zxh+MtX8AZav/8di++21mAK2YlYdHY6CH5nfHGLVhD2SiOiIj6x+CaLMpca+WaciIke0CPGRWJKYnWm7mrlTC6QrZKI12khQRRUtJJ+iNZWGl0pO0j7os8zhalRam9s1LVIKSEN9zfW73Z2ze7i/DCmky1yDZveLjZzZsGGlwH+Xp2yrrqmUxfkGBpfFwQRkT2neU1h7bnuGsAZspcm/F3OFQ+21GgXk+kz8Txo6Jw2vj+A/KeyEKUNAyUvdBDRcrupUv4ukxDLwFpctZfJ/zBSjYujOwvrlVbs/qbPkBEREODz8ZkceY6zNhwqbJLN2NruGh6Ik6fGGsa4+IKtE66WpfojmSvLRvwOb+LpiWoN3M9dMpYOKpLZiTi9d+yVeB2uKROBRXm0BbMbDlb2Vl9sasAX+8uwm0Lh1kluNb25eZ1KR3+5xnjVIA9ITYYQ6G2qQV7C2tUl/I5vZR6rz5cpt5fOSsZl89Ksvh3Pf7jQTVx4c5jhuPi6UNToi1NOMWXuwrVm/QluWFeqk1/54gIf5w4JgpTEkK4GEtE5EAYXNOAgz9thfz40ZEYHuGPYD9PfLo9H8MjAzAp3jona7acD+qopieFYu0d81HffGT82Ptb8vD8rxk4blQkHlhkv32E5Bg+2JqHzLI6nJQWbbXHmqUkoy4n9pKt25hdYXZwPdDMtfh4Wx6yyhtw/tT4IRmvZC9Vxm7hMiPZGuS+kk7dcqw6SgjxU29DJaO0TpV8S7XTl9fN7vZ9Cbo351Soj6UKQluEkUy23P7JCeZXRWll5fLaNFQ6NvdLCvXFOZPjbP47ZbH1kVMdd/GNiMhVOeSca3I8kjmVsVgi3LhKPyslDBdMS0BFfQseXnEAb23MsfOtdH6eHu6qDNb0ubth9m3XWcfkOqQzd4XxsbfyQAne22IIsB2BjOUSm7INgVF/2tqlaZ/h/xIxgNFyMqXg7U05up91rQXXwT1Ur1hiZnIovr/5KDx62jjYk7aQIgsr8lrSlVQ+SKM+me+tBcVf7yrE7z7dpRYY+7MmvQwnPbcWn2zPR3aFIUufZmwIOBSGdagy+N9FU+zWyZ+IiOyPmWsyizQovv6oFJVN6FrOmW2cPytdra1Ffs83uwvVx5fNtLxE0Nlps44ZXDs/CSpOfG6t2ov5+qXTzCqLXrYpB/9aeRiLx0bj/5akIce4d1b2dDqCGcmh6v3mnEoVOJuz7/q1S6aqIGsgZeESnB0orjVlvfWqyjhyT7K11tDTVpJf08tUdndWcuiAMsKDofUIkN4BMr5Re17TSMdrLw83jI4ONN3m4cY56ulmLKjIY8rd3Q2PrDigPpcme11/hy0tnhCLe08chTkpoUPeDyGnoh7bcqvUCDDpNk9ERPbF4JrM+0Nxd+sW5EpG7UBxjcoWiOQw65VrSjD59C/p6gTJVYJrKa2X8trjR0fh2FGRnfZfM7h2fg0tbSqwEP5mNlvSAlDZ1yylswXGvbNSeuoIJDsoPRgk43qgqBZjjB3OeyPBtyUTBSJcpMGhtcvCe/LVrkKs2FesPh6q4FpGCcqCgfz9yzHsGvhKQ8yfb51nenx03C+ujXnsy4S4YHh1aAIpXbuHko+nh6riamk5sqVnqPzh891q4enR08aq1w4iIrIvloWTxTLL63DNu9tMnYyTrLhPOtSYuZFMjmTEXMH2vCrViKdj6asWXHc86STnDpykE7yfl3lPvdpjSrJTEmDLQ006IQ9kv7KtF91k37V0eLblvF1tkUHPmWupbDCVhVspcy3+88thnPvKBvywv1j9Dq2Ef0aSoerAHqXhPZHRch2rGWR/tpD7ROZf95e5/tdZEzAtMUQ1g5NGX65C670grx9ERGR/zFyT2aNGyuqaEBvkayo963giJDNox1lxj5sWVEowUd3Q0mMHbb3RTqw7loRqGR5ZZGhta+cD1onJ37GWlTS383uisemU7FO++/Pdhq+F+jlU5/i/LB6j+gSYMz5OypE3ZFVgTHRAr12jXXU0nzQy1BYqrfl8V1DViMzyepUBlvJh+VuSBRoZCTfUwfXh0jqzF0ikIkIqPOqaW9XrT0ofM7lf+DUDYf7eKsD2N06zcBWTE4Lx0bZ8dWyJiMj+mLkms3y7pwiXvbUFT648ZPqaNG2RLMEZE2Px/PmTrTpXVLIY2sgvVymJ1vZbBvkeObHWAm21yGDs1k7OqaqxecBZyY7N7RxxNrGQxTZz57JL1vSZVen4anfRgH6HKbiu0W9wLXuOnz5nAh5akqaCX2uPiZLn0fe3GpqDyR5+KdUeSr1VH0hl0nXvbsUDX+0xTaQQsoAUHWT4meI+jrtsT/rfuiw89uNBl6ly6mhyvKG0f29RDRr6yfATEZHtMXNNg5pNa8v90NKVvLapFaV1TX1mLfSizjiCq2PmRRYZpiaGwMfD3ZTVIufPXA+ENGeSPZVCQtihmt1rCfkblVLx3pTWap3CB1bW7gqZa3mszx1ANt9cWhZcMtirDpWqj8+aZPtRUV0tGReNKQnBmGQMBjUSOG/JrVILNH85Oa3T92QBN6PMkHXvjbYdQRZjtTGRriQu2Ec9PuSxsa+oZsj20RMRUc9c75WIBhdcBw7dXs/oIB81VqWoWr8n1B1p+wq7Nrt68YLJdrpFZE1a5UHHbLQ5/nPORLXnWjS3tmOinedb9+T9LblqFN+5k+NxeR/NpGShTEQEDKzsWbpIv37JVEQN4fOPXoQZg+tv9hiqBeKDfTC2n8ZzttDbNgDpJaAFiV0XZi6bmYgzJsT2+TevVXQMG8K51o5EMvxSzSKv0bmVDQyuiYjsjME1maWkxpA5GMj4nMHSGtqY0y1WD6S8UbjankFXEejtiYlxQRgRcWQmrrl7VR2lgVlfGev8qkbV7b7P4Nq4SDfQ/488JsYN8R7hoSZBptx/sUE+mJUSZvWycPWxnxdOGBPlUHv2cysNC0fxxu7gHZmTyTcF1y5Q3dSbWHXfVarqBCIisi8G1+SwmesrZiXjomkJSDA2dXLVzLVGOv2S85JxQ/KmR1rnaZl3XVzTqMp5rRlcO7KKumb8dLAEJ4+NHlTfiV0F1fi/5ftVx2trBtdaU0TJbr5z+XQ1Es5ez2/S0E7ezx8eYfp6boUhc51g4Xg5aZLmyplrce6UeBw3KlJtISEiIvticE39kqBOaygTFdDzSbMtuNrJ0oqb5qrsddd9g/9aeQif7yzAVbOTceXcFLvdPqLeyEn9hLgg7Myvxrubc3HrwuFWD66/2FmAgyW1OH1CLEZEOk4Q8fyaDHy/rxjh/t44euSRoHGgao3bBrRGjtYit0v6V0jW2tPDHYEe9uljKsf+hve3q4//cPxInDclXn0spcyip0VUmVCxI68anh5umDes5yz24VJDP4LhDvQ3MdSGuvM7ERH1jt3CqV/SVEzLdgxl5trVSEMjaT7UtfOyJKxrGltRUc9u4eSYpMz4bGOTrB351T1eprm1zTSv3ZLtJV/tLsSyTbmm5m6OQppIyf+rtqll0M+zIsDKTblkkXL5jXPx4oVTYE8yQm6yce/0P384qMZrddxzHR/SPXO9p7AGv/9sF55fndHjdba0tiGr3FBWPtzFFmOJiMgxMbimfsn2PBm5dfnMRPhZcdxWf2Qsy5sbsvHsqnS4shA/w8l2pYuMJNOr69/bhtNeXK/GUenRWOOc+/1FNT2ORHJ3c8Oyy6epcVMDGUfm6B3DtSAxKdRP7R/+67f7LBoJVWOjzLUjufeEUd32SssQBA83yVx3D64l465lsHsimfivr5+N58+fZOrR4Yrk7+3HAyV4cU0Gx3EREdkZy8KpXwHenjYdudVXk6SnfzEE1tfMTYHPEM9lHeqGcf/+JV2Vbt517Ige90xWGudgk3OSkUEF1Y2qQkGPUiP81WNUMrDZ5fXdxudJRcaoqECMirLs+iMccNa1zBUuMt4eCa6veXcrMsvr1b7p0ybEWpa59tbvy/LIqAAcPSICPx8qVffT7NQwvHLxFPVc79ZHp/Py+ma1PamnRmxh/t6YPsDRbnojC1f/+P4AyuqaMW94BMvEiYjsSJ9neaQLIb6epoBamiTpWWldM77dU4Tv9hV3+16Ir+EEs4KZa6clgYGc+HbMxumNjFE6c2IsLp+ZZJOFsCOZa8d5LsgxNuOSTHyov5faDy5e+y17wNlrraw80Ee/mWuREm7YW51Vbshca387XbfDaAsqbsYRdBJgU+9GGvecHyyu4d1ERGRHDK6pXzJjd09h9ZCXJUuWwlXGcdWbslbdT6y1zDWDa+clWclGY98CPXXK7ur3x43ErQuHGUcDdSbl8K+tz8LmHMvK4rX7TRaiHIX2vCTjs7SuzdLtX/YBS3m8ZZlrfQfXyWGG4Foy1/2RKg9ttnm+cW92R7Jt6N8/H8ZBB9uHbw9Jxvs1j+O4iIjsisE19euDrXm4/K0tKhsz1KKNJ616n99ZZxzD1dOe9kTjiJqMsnpmJZyUlrWWwGso+xY4kjXpZXh2dQZ+OlA6qMx1qQOVhRcaK2q05ymZxz0tKUR9vD5zYIsIsvXm4VPSMNuKY7gc0eSEENw8PxWXTE/AWxtzcNWyrXh/S26vl9canfUUNH6zp0hdh2y5cHXRxvF3xTpfiCYicnQMrqlf2h5HLYMwlBKNJ1YdSwj1POPaz6v7Q1KygFfOTsKp42NQWus4WTsynzaCKjxAnyXhncf2NaqZzb1leaMtfB7RJhU4UkMzqTjx9jhSYSO0GdUDzdDLOKWT0qK77VXXm9Rwf1wxO1ktIny2Ix878qv63GceZ6yC0LqKa2SfdmYZZ1xrtNdnbWwmERHZh347p5DVaCezlozPsdas6/Sy/ksInVmVcURRUC9jeG6aP0y999RxUzc907ody8xhvT9XLHlhPWT77K+3z1fdnDXaSb+lXZ0TQ/zw5qVT7fI81JtLZiTi4ukJaGo9sr96gnHm8N7Cml6bcBHUzHKpxvHycOtzPviZk2Ixf3g4xnWZ5SzBttzvsr+/pzFerpq5LtJ5fxIiIkfH4JrMDq4j7Blcl+p7T522n13mXJP++Hp5YFJ8MEZHGZoO6ZU8R0iwI/vLpTO6zDbWaCf9UcYgYKC8Pd2RZhz35UgkePbxPBJAj4oKUKOl5D6QPgnSzdocK/YVq6Zes5JDEWjlWdeORu6Xe7/Yoz4+KjW8z//vtMTQHr+uvSYMC/dX3bJdXVRQ75nrgqoGtX9dz/0eiIgchb5fwakbyaQ8/2sGGlracNakOFWiZ35Z+NDPEZ0YF4zXLpmKVGOHWb2qNGautc7gvY39aW5qQViYvgM0PZo3LFy96Z0EOXHBPiojuS6jHOdO8etQLm54Hok2BgF6Xkj5+OpZiA32GVDQ98iK/ahpbMWHV87QfXD9xm/ZqumbOHGMZbPZDhvnZGsLsK4uPtgXT509odu2i18OleKez3erKQWfXzu7x67sRERkPfp+BaceS/FeWW9oTLZsUy7mpIbhwqkJmDssrMcTQRkPozXbskc5ppxkyl5EvbtlwTAsnZmE3s7FVx8uxZ2f7MLY2EB8c8fRQ33ziMwmj1cJrp9ZlY7jRkeqUnhZPNK6pUcFWL5It3xPEXYXVuOkMVEYHxds96Ny/Xvb1BiuP544qlOGeqBlyrL4UNto7Bau88BaSNO3NzfmqI8XjOi9JFzUNLZgY1aF+vtZNDba9PXdxn39UilAhkWdrgt4Mg7uiR8Pqv3pMo89s7wOwyN4fxER2RI3cLqYfGPHVSndlDhOskt3fLITV7+zVWVGe8tay3gY6YRLtiHZBJmT21tZuJbRrqw3ZLjJecjjatUhyzpkO6M7jxmB4RH+arTUO5tyO82pD/PzUuXdlvrhQIlaFOypYdpQk6Bvc04lVh4sVYHNYNQ3t0HbtR3oAs+zRw0Lx3VzU/D3U8f2+7oir0F3f74bj/5woNPXc40NziY4wCKLo9qSU9mpy/qufPs/boiI9I7BtYupqGtWQfWclDB8fPVM1YxH9qxdNC2hx5PeIF9P3H70cFwxKwn2siGrHP/84SC+2VMIV6UF3Zx17Xy25lbirk934S/f7oOr/K0uNT5frM8sV+9TwvzxzuXT8c/Txw3qurXqGUfoGK7tIZfMddfxarvyq3DvF7vxxE+HzLouqRDSFtlk4VPvpErq2qNScIIZJeFh/obnPimZbzJWP4i3L5uGz66Z5RKVTQPp3fH6b9l4aPl+9bks+ixKi+qW7SciItvRf/0ZdXL6xFicPC5ajX4K9vVSWaY7ju69o62UdF46I9Gu9+Lugho1a7uqIQonj42BHv1r5SF14njpzEQkhHTfXx7ia3io1jW1orGle4UBOf6M6yIXmj87I8nQhEqy182tbWrhbqQVyne1cUNS4mpv2vHUujR3JP/vH/aXICXMDzh2RL/XpZWES9aa3cW7L/DKokNrW7taXNRmisv9xC7h3T27Kl1VQVw/L0UtPDx0ylgcPTISf/xyj9oWRkREtsXg2gVJ11B50zj6ydyRjuH6nXX99e4ideJ49uS4Xk8wtS7MOeX1CO/QnZico1ldqAt1gpcA6MvrZls8dqs32vVpM7Ptqai69wZtWpf0vKoGFRR6mpm5lu031D3LLY8dmRVfXnckuKaeq0bGRAdib1ENNmRVYMk4w2L03NQwvLt0ulkNTImIaHCsVn/W1NQ9k3Do0CG0tjLL5gz2Flbj/S25anZoR4dLa1UpWVWDIftmD7J/U2SW16sTVT2S/Zt9zbmWE0ytcc+uvKohvW00OFopv1Z94Co6Btbvbs7Fq+uzkFNRb5XrdIQqgMKa3jPXcjs93d3Q3Cpd0vu/rTVNrtPMzBLS6VqU1RvOM+78ZCfu/mwXDhYzE9vVzGRD1ciD3+zDDuNrhTQGHREZwE7hRETOEFwXFBTgyiuvxIsvvtjte3fccQdOPPFEbNiwYbC/hqzk/i/34M9f70V+Vecg+smfDuGxHw+ZXow1r6zLwtK3t+Dznfbb7xwX7AtvDzdD1naQJ+eOSMrBpZurCPDu/eRaMhJiV27lUN00suIMc1fKXHeUXV6vnkeeW52B3IrOzzsDJeOttMy1dNh2iLLwHjKpUsaslSznmPF/HhHhj4eWpKkmX9SdNMITkrnOKKvD6sNlqklgRIBrPqb6MivlyFxwKQUnIiInCq5ra2uxdOlS7N69G9HRR0ZkaC688EL4+/vj2muvVZch+5KxHD8eKME3e4q6fS/BWMaYU9k5eNUaB9ljDFfHE1WtI+yaDEODJD2RfdQavz7KQheOiMA5k+Mwlt1xnTK47q0TvJ59vC0PZ7+yAeXG+yBJ9iAPgmSJZUOELLTZu7mfPJ/KVo2YHjLXIjFUC677XxCMDPRRY6aOGRVp9dupB1pTMwmuvzW+fs1JDe80/owMZiaHme6KjmPOfsssVwvryzYZRqAREZEDBtcffvihyh58/vnnOP/887t9/5JLLlGXmT59Op5++unB/CqyUmMlyZDKyWlUl2BZOxHsmlkqNjYO0hoJ2cvRIw0nCR9uzVPN2PSkttlQEi4n6lJK2tf4mgcWj8GZUxOG8NbRYFW44J5rTceZuh5uUoUyuP2y0ivizUun4dsb5tj9/vzTojFYdds8nDK+5yaLicbGhNmDzNYTcM7keDx8ShomJwTj0x0F6i45ucPMa+q8GP3aJVNx5sRYXHfUkUoI2fIlC+u/Hi7j3UVEZEOD2uD1yy+/4JZbbkFMTO8dnH19ffGXv/wFS5YsQVtbG9zd9T9mxFFpTYAiA73h2aGhmdA6VOd02HMt+5u1Pdj27sq6ZGwM3tyQo0owJeBPHmQGzBEz12xmpE9zU8IQ4e+FlHD9/M2aa0piiOnjiABvqzRPHBNj2B7hCOT/I4sGPUkI9YWX2s7S/2LgoZJaZJXXq8z+yMjBd1XXm6mJIdiZX6W2NUljM3n+1xZcqTvpEt51RNlY4+cyI15e2yUIJyIiBwuui4qKMGbMmH4vl5SUhKCgIBQXF/cZiNPQBNc9dfBNMAbPHRuayRxXyXRLNrWnpj1DKdTfCx9eNaPPPcl6D66lSqS6sQUVJbUIZVNhp3G5HWfEO4InzhyPh7/bjz8v6v+1Qk/OnRyPC6YmmBXErNhXjJfXZeHcyXG454RRQ3L7nImU4P/lm33Iq2pUjQFlXrrMcCbzyaJNoI+Hmhd+oLgGaTGcD05EZAuDilQkYK6oqOj3chIU1NfXIzDQcTIOrqioj+BastmirK5JHS/JyGh7BSVr7Qir3AE6DKzF+LhgfHfjHNVZuC91za045j9r1Mdr7lwALwc4JkT9kV4BC2+ca7U7alN2BX4+WIq0mEDTqKGhJk21ZP+qdGB+cHHPiwYy29tc2lYXf47i6pFUK8lrlPQAefvy6VYf8eYK5DV8Ylww1maUY2d+NYNrIiIbGVSN9rhx47BixQqzyscDAgLUGzlm5lrrxioBnqxsd+xyq2W1HUVBVYM6wdYLqQyQxjz9zW/19/JQ+7K1RRByfFJ+KWWsLa1t9r4purGvqAbvbM5VHaPtJbeyAXsKa9RtsQYtuPZjNrZH8voUH+yLB04azcB6EIYZx1pm63DqBhGRoxhUKvDcc89VjcxmzJiBxYsX93iZ9PR0/OlPf8I555wzmF9FVio/llxnTyXeUmInDWOko7EWwE1PCsWdxww3dWp1BDJzW0aDSWngdzfNVfOfXYVUE8ixKKhqVM3peutSTI61oHXG/35TjylpfmWNPceuLta4CCWPA3spNI4y1G5Lbx774SB25FepRoTzwnpfXK5vNiy+MLhGr1UAf+6lQoDMl2ScCiL7+4mIyAGD67S0NFx//fW4/fbbMXfuXBxzzDFqf7U0LZP91evXr8fy5cvVvuwbbrjBereaLHLfiaPw++NGqGxaT05K69x9VZrGXDw90aHu7dFRASpQqWxoUfNzU8INK/HOqqaxRWXhJLs5NSFEjePpS7i/tzG4ZubaGWjjomQxiIG1dWiVN9ITwl4KjFVAscF9V/UcLKlVGe6M0jrM6+Ny9ca+C32N4iMaLHlNlwZ8Lf1sQSIiIssNehPrzTffjLi4OPz73//G2rVru+3JvuKKK9Rl/Pxcr1OuI5JRNuZUHq48UILkcL9Oo3QcgXQ5lxOEA8W1qrRtMMH1ttxKdT1zUsOQaFzRH2q3fbQDO/Kr1cey6NF/cG2oIiirte+MXzJPZYPrzri2FW37RElNo926HmtZ8/4y1zLicHNOZb9luKY91ywLJxualhSK1bfP7zYthIiIrMcqHaLOPvtsnHnmmdi5cydyc3PVyC3pCj5p0iR4e9t3PjKZT0Z0HCiqQXNbO/75w0H1tU+vmWka0+UoJBCWoLjrTO6BkKz39e9vVyfncmo+b3g4Lpgaj9kpYUOaYdQCaxFgRsM2yVwLZq6dLHPN4Npq5DEg2TdJvsnjIMoO2yOk74OI7Wdut7Zot7+fvdlH9lwz6CHb9veAesUjIiJbsdoruZSCS/n32LFjMXLkSIwePZqBtQORLM/1723D377d1+tlPt9RgIdXHMCzq9JNX7vhve1wNFqDtcd/OmTxdby9KcdUHi//SnOkWz/aifNe3Yi9hUcCXltqMJ5Qd81K9yU8QMtcsyzcGVTWt6j3ob767HRvD5KpjjQG1FqTRkctC5+bGqberz5Uisq63qtNrpqTjPtOGInR0ZyoQURE5MyscsZ3+PBhVRb+448/oqnpyEn/1KlTcc011+CEE06wxq+hQZD5oFKe2HGOdVdacFdr3P8nbl04zOHudym11EjmSsvmDoSUc46KCsDNC4YhMcQXH2zNw5e7CtVJc8cT5ubWNlVKbwuSIZfZo7Ivs2Pg3JfJCSG4eLYbpsTyJNwZyOggERHACh5rkqaMEljL24Q4DCkZVSgNIKX3Q39l4WOiA02P8c+35+HUMZE9Xm7+8Agb3Vqizl5ak4m1GWW4cnYyFozg3x0RkcMF16tXr8Ytt9wCHx8fLFq0CKmpqerjwsJCtQdb9ltLM7M777xzwNd96NAhFBUVqYx4eHh4v5fPz89HRkYGEhMTVWO13mzcuFFdJjY2Fq6irzFcGhkH1dF1R6XgxDFRcDTzhoWrADvMz1t1QLdk2/UVs5PVm+b3x43EjfNTsSu/GqEdSnhv/mA7/L09ccE0Q8m4NbuTy8n5WZNi8diPhgy8OYsEx4yKxFmzUlBeXouWFo53cpbZ8j116CfL/d8pY1Rn7Y6P1aEii2LvXzFDBdnmXPa0CTH418rD+GxLbq/BNdFQySyvU9uRZFY7g2siIgcLrktLS/G73/0OS5Yswf3339/jHOtPPvlEjeKaNm0ajj76aLOuV7Lfd911FzZv3qyC5H379uHee+/FhRde2OPlZY/3Qw89pH7XhAkTsGvXLpx66qn429/+1u2ya9aswVVXXYVHHnlE7RV3tZP8voLriA6ZU+lufNyoSIfscCyZ5U+unoW29na19/rbPUVqEWCwjY0CvD0xK8VQxilyKuqxNbdKlY3/ml6mGqnJvuxTxseYtT/aHHKdmggLMvDk2KYkhqi/0zExrDSwJkfoA2Huc+PRIyOwfG8xJiaG9HqZXw6VqsU2mRggY6eIbEWrzLLXlgoiIr0bVITw4Ycfqj3WDz/8cK8nGmeddRYqKirw8ssvmx1cy2UPHDiAb775BiEhIfjpp59UBnzWrFkYPnx4t8u/8847+OKLL/DRRx+p70uZujRYmz9/Pk466STT5eR2SJBuTsbBNTPXhuA6KdQXH189y+HvJ7l5Vy7bgubWdkyMDzL7hFtKyQO9Pfs9iZVmRB9dNVOVjH++s0DNBpUs83OrM3Dq+BhcOC1hUF3GpSN7x9yzOWXhckyqGppV4B/LbKjDO3tSnHoj1yXPS28vnY6wsABVcdKV9H743ae71Mff3TgH3p5cZCN9z4knsrX1meX4LbNcjZiV7TlEQ2lQS+Tr1q3DpZde2u8K/gUXXICtW7eiudm88UGSgT733HNVYC2OPfZYNVP7888/7/Hyb731Fi6//HJT4C3vr7zySpVZ7+jBBx9U87j9/Z17NrKtgusjnagNx8kRs9YdSaY6zrgK39de8q7+vuIAFj69Gl/sLOj3sklhfrjr2BH46vrZ+MPxI5Ea7qf2pL+3JU/Nrx2MF9Zk4p7Pd+OhJWn44MoZZpWFyx7eSX/5Dme+uF5lRIlcUWZZHZ786RD++2vGkP/u/63NxOVvbTbr+cMcDS1HelxIqTuRLWkd7rWmfER6c6C4Brd+uANvbMjBpW9uxnXvbcOP+4vRYmxiS+TQmWvZD52SktLv5SSYlT3TEuz2t8+5uroamZmZap91R/K5jPrqSrLRkqmeN28eKisrsWfPHiQkJHTb4/3pp59ix44dKkD/7rvv4KrBtTYjtq+GZpPig9HU0uYU5YnxIb4qozyQ4PpwaZ0a49PXfdFVgLcnzpsSj3Mnx+G3zAp8s6cQx46M6NRpva65VWW0A336f1hJtiqrvE59PGEAWXdtj6nc/qr6FoSa0WGceh47Ny4m0KYLSPIYksUQWdCyxyxmPatsaME7m3MRF+yDG+elWjznXhbKZM79QHop7CuqUQtrHRs/mjsdILeiHjFdKk7qjdcjt0BKw4lsKTbIt9M4OSK9kUXKu48fiXc25ahzwy05lepNXovlHO7MiXE8dyLHDa5lj3VJSQlGjRrV5+VaWlpU4BsWdmQ/a28kWBahoaGdvh4cHIz9+/f32MRMbNiwQe3/lsB69+7dqkP53//+d3h4eKjZ27LH+rnnnkNgoHXKQzwd+CTIw9jdWnsvWtsN85zjQ317ve1hAd6YlRKK6cmh8HeS0UGGsuxytQpvzjGRoDbfeFIxLDLAouM4b2SEetO0tLXhpbWZ6jZIJu20CbGqZDw1ovcKibzyOjS1tsPX0x1J4f5mn9zLMZWAuqKuGZVNLYjsZ84uGazLKMOEuGC18LErvwpXvL1FdYu/dGYiFo+NsclC0r7iGlz6xmZVhvnNTXMtetxSz+R5TBTXNMHN3c2ixQt5rG7KrkRKuB8umJagHrfmLIzlVBieP+Txbe7zx8bsCtz47jYMjwzAe1fO6PS9JmMFir+3B7yYuXY6zva4TQz3My1QNbe1w8+b1RJ6Or4EpEYGqLeLZiSisKoBH27Nw0fb8lWS6dnVGQgP8MbZU+J5bHXMw86P20FFUJMmTVKZYCm17otkiqUxmXQR7482ykuC4o7kc2lc1lVDg+FEZ/ny5eq2BAUFqWBampW9/vrruOKKK3DPPfeo0vQZMzqf1FjK3d1N7Z9zdMHBR7Kh3955tMqkefRzIvr+jfPUvl5HLwnXjIwLBrbmobi+xaxjkldRr/Zoe7q7IS053CoZRblfbzl+FF5bk4GDRTV4b3Ouels8Phb/umBKjycvm/INJeXDowIRET6wBR8Z6yTBdbO7h1P8HdpbcXUjbnxvO7w93LHh/hNQUN+qVralGd6DX+/Df37JwOVzU3DJ7GREWHEfe1lWpXqfGO4/oOPU8XFLvdxHIf7qMSxlfk0eHogfYO+DltY2TE4Ox/6iWmSW1eOf3x/Ec6sycO70RPW3II/LnrS1tSO7ol59PDE1wuzjOtHdQ93WQyW18A3w7fSckGechR7g48nHsxNzlsetpDhC/LxUgAEfL4QNom+IK3GW40udyXP0AykR+P2Scfhyez4+3pyDi+cN7/QczGOrX8F2etwOKriW7t1nnHEGZs6c2WvnbSnl/utf/4rf//73Zl2nllmurzecwGjq6up6zDr7+RnuONn7LYG1kOy1dDCXudsSlEvGe+nSpaoxmmhtbcXevXtVtltu+0DJCVZVlaGk1xHJSo38QVVV1aO1Vd/jmsK9DatSGcU1PTYL6mpXlqEyIi7EF1WV1juGp4yJxJLREapkXEqRfjlYim93FWDizwdx8YzEbpffkVWm3ieH+pp1uzseWwkADxXXIrOwCmnhR2ZyU8++Ne6NHRHpj7bGJhw/PAwzbpyDj7fl491NOSiqacSTK/bj2Z8OYsm4GNwwP3VAWwZ6sy/H+LcW5G3WMXalx6219o5KFnlPVhn82jtXOvXmgy25yC6vx+JxMbh1fgqunpWAL3cW4t1NuUgvq1MLZPJ22cxE3HXcyG4/L6W0jS1tKrAPcGsz+7Hr7+Gu/qZkasO6fYWqi7ymsNSw0CYl4QN5LiDH4IyP2+9ummuo1mk3/2/YVTnj8XV1O/OqVC+L4REBhkUkI3ntl7eG2gY01PLY6pmHjR63cp3mZMMHFVyPHDlSjcy677778Nlnn+G4445Te7C9vb1RXFysxl599dVXOOaYY1SDMnNER0erPdqSfe6YaZbPZYZ2V5IRlyyrFmRr5POamhq4u7tj6tSpqrN5xzL19evXqwZrlgTXhutw/CdZ+YNyhts5GNr+xdyKBrP+r1llhoA6PtjHJvfN9MQQ9SYdxv/5w0F8tj0f50+J73Y5CY61UVwDvR2RgYYXCzlR1/vxtYZNxgWVGUmhpvsrwMsDl81IxEVT4/H9/hIs25Sj9tHuLqjG+owynDw2xipNt0R8sO+AjpMrPG6tQcrtJbjOKa/HJKlgMcM3uwqxJbcKw8L9MToyAN7u7qqb+1kTY9XC2HtbcrH6cBlGRwX2eAzSS2pNvR6k1b9sCTHXpMQQfL+nCNtzKzEh1rAQLGoaDJlrP093Hncn5kyPWzk1dJbb6iic6fi6uv+uTsea9HL8adFonD6h5z5Pn2zPV71X7lyUhhAPPh70qtVOj9tBb6y9+uqrVZOyJ554Qu1r7kgyyTfccANuvPFGs8uM5XILFixQWWbJimv7sDdt2oRHH320x33fEiB///33OPnkk9XXpKx57dq1mDJlCi677DL11pEE25LJdpU516sOleLNjTmYmxqGK2cnQ08kOL3zmOFIkJNdM2hNXLRZn7Yizc6kkYbs6+1JhjHwkpP8gZK94mJfYfUgb6Vr2JZXpd5PTugegHl6uGPx2GgsSotSgfWIyAD4Wmnfa3qp4RinWnCMqX+GSQGVZjczlLLs3cYO/xO7BOPyujM7NUy9yZi7jlMVpE+Dtn1EFvGEuc83HU1ODFXBtezzvnj6kWoWeQ6494SRqmkiERENToVxq43WALYnX+4qxPa8Khw3PhYLU8yrfCIyl1VezU855RQV2Eqn7vT0dLVvOi4uDtOmTTNrn3VXMtNa9kj/+c9/VoHwm2++ifHjx6smZSI7OxsHDx5UQbinp6fKnEtZuFx+zpw5+Prrr1UncwnqydAdWzolavMt9UQaEHU8Ue3PqKhAnDIuGtM6lGXaQmSgD24/uvtMds0DJ41W+y87loea65gx0cgursW84eFYvqdIBYQjewniXV1xTaMpyJUu+L2R4Gq8mdlPc8iYNO33yvEh69NmzEtZvzkkCJeSbim/TjY2derreptbDY0Kv9ldhE+vmWXqV5ES5mfRgsmJ42PwxIr9WJtRhsr6ZrXvVVvoO2dy9+oWIls5WFKLh7/bDy8Pd7x4wWTe0aQrFfXN/QbXkviQ4HpPfjWDa7I6qy2VS/m1BMDyJhobG5GRkYGYmJhunb/7I2O33n//fSxbtgwrV65UgbsEz/I7hOyhlu/Pnj1bBdfjxo1TZelvv/02vvnmGwwbNgx/+tOf1O/uiQTlEvy7Cikf7m/Gtas4dlSkerM3CbgsDbpmpoZjZIgPfj1Yils+362+9ttdC5ymCd1Q+ulAiSmwDjNjjrg2Mqm+udXsy/ekoKpRjWaTvblJxs7WZF1nTYrF6RNjEWHmODqtWkSCY3O688tllm3KVQG5TBiQoFs6isubJdJigzE6OkA1UftsRwEun5Vk0fUQDZaPhzt25leraRXO1MCUyByyeNlfcC37sYU0oSVyuOBastVPP/20yhprAauUZMte7LKyMnh5eeGqq65Sc6cH8gQ+evRo/OUvf+nxe8cff7x667r3+t577zXruuX2uuKMa70G17J4IKW/Mqd7elKoQ2VNpbNwuL+3TUqDt+UZulGL7IoGVSJPnW3NNZSEzx8ebtZd8/6WPDz240GcNCYKD5861uK7U7Kj185NRlldsyo9J+sb6OJHxgDL9LUs9f7iWhwqqTNltAfj+nmpyCytw1mTjizuSoO1guoGVeZujd9B1B+tYWNDS5saydVXEELkTGR6S21Tq/o41K/3EEc7H5ZRXUQOFVzLjGnZzyz7nrXRWTLP+o477lAduaVcW8ZnvfDCC2pf9sUXX2yt200DoPfg+ps9RXhmVTpOHBPVb3AtGagIf2+bzDXu6u2NuXh7Uw4umZ6IO44Z3ukkf21mOYaH+6s9npZadcjQcVxsyCpncN2DK2cnYd6wcIzr0EDKnGZxOWbu4+1rXNp1R3VvwEj2k1luzFz3URLelcylluA6vbQWR3eYbW+p40ZHdWuu8uXuQryyLgvnTo7DPSeMGvTvIDJn8U8Wo2Xxr7CqkcE16UZlgyFrLW0yZNtgb6KDvDv14SFymOD6nXfeUbOun3/+edUhXMisaWlA9tBDD+G8885TXxs+fDj+/ve/M7i2c3BtjfFCjmhMtLHBVz/lPbKiefpLv6mPv79prmnPo61EBBiuv7TOMLtdszW3Ek/+dEgFfZYG17IfdG+H/6/MbKae99jLm7m0Eu5c4yxjcmzrMsrUIpaU/V97VEqfly2qMTwOB5IdTjZeNreyQc3GPuXF9WqR8rnzJvV54mZJCWMws4c0hOTvWIJrqZoYE2P+cySRM+y3DvH16nP7T7Rx0kxJTaM6n+LGCLKmQZ0dbN68Gddee60psBY///yzamJ26qmnmr62cOFCVSZeVVWF4GDrNQ2i/sl+wXLjk41eM9dpMYasZFZ5PSrqmhHayx7MMmOQK/tgg31t35lXspeitLZzcF1i/Dyyw/zFgZJGNP+7cDJWHizFmRNjkcSScKuIDTIE11IqqTW/ssT6TEMlgTQR5H5G26msb8G6zHJkldfhqjnJpq7ePXn67AkqmPD1Mv+YRhgrGVSGr6ZRva9pbIG/t+Ud5WVP/6c7CrAttwqPnJpmOhkMZ3BNQ0ga6cn4QW3xnUgP5LzqvhNGoq2978uF+Xupc0GZIiHnaJGD6LFC1NWgIgzZUx0fH99pfrSMzJIu4R3nTksjMgmqa2trGVwPMTlxiwr0Rm1jK0KGIKC0B9kvNizCX3VnlqzwMb00LOvYQXIoAh4tuNaCeo0WbGsn7paanBCi3qhnewur1dijOalhZjePC/TxgJeHG5pb21Fe12TRyDZZ4Lnlwx3q41W3zbPaaC/qTkq1ZaEsr6oR6zLKVQf93shjXntMmktrliaPWWlSJ+RvwpyGaH3djid+OqQ+vq9xJMrrmk0ne0RDRZseov1dE+mlF8fZZkxfkOfwD6+eiREJoWipb+IMc7KqQW08lQBastGarVu3oq6uDkcddVSny8nXSkpKEBLCQGCoSbb66+vn4IdbjtJ1Bm2qMci8+/Pdai6tpeMZrEn2dovSWsPv7Zq51r5PtvH9/hI89fNhNePdXPIYCTP+fZQagx5L9/bKySsDa9uS+/fU8YapEB9uy7P69UswLslwGa2mzdOOCx5cBZBUQ2iVM/JcoAXXbCpFQykx1FfNa/cbRBUGkTNLCfdHkC8XNcnBgmsZuyWjrzQyDkscc8wxnS738ccfIzU1Ff7+1u+YTOaR8hc9006wxb9WGrJCXWnl8b2Vjdtqz7UE9bJfs2vmWmueNVibsitw3xe78er6LKtcn15szKpQ72cOsIO8dHcXkrm2hDbyyRYd4qm7s42dt389XGYKgHua6/uHz3erxmEDIY3w1tyxAG9cOk01QxSWVDN0pW0JKa5pMj0vMXNNQ+n8qQlqfvu1c/vuVUDkTKSCUV77ud2B7GlQdcIye/rss89GXl6emje9fPlyzJ8/X43R0rqJf/3113jqqadU53AiW5kYH6y67RZUN+KaOSmqFFsLkjSm8sshylxLwzQPN6C13bBnU2soZ4091x1llterLK3MVSYD2Re7p7BafTw9aWAVMwtGhKt5xF3/fsw+HmX1A+5KTYPLPsxMDsWGrAp8sj0fNy8Y1u0yOeX1aua5jMeTvdnmUuXfxnVJGcelfp8V+hvIVp3DpXXqBFBraDZUz0tERHolrwHvbM7F5TOTcOvC7q8FHa1NL8PqlYcxJsIPS8YeSdAQ2TW4liD62WefxWOPPYbs7Gwce+yxeOSRR0zfv/zyy5GVlYVLLrkEF1544aBvLA3cC79mYFNOJS6cGq/GwOiZjLGRoEo6gsv7n2+bB78O+10rhvgkVk7M5URfboN2O9rbDc0zrBlcayf7Mi+XDL7eXagamqimYgPMNA52hJYsdojkMGauh4osrElw/fnOAlx3VIpq+NeR1vfA0gUTbQ+/GGtsoDgYkcZOtUXVjbjvxFHquYll4WQP8pokz5V9NQMkchZy7ieCfPrf7nCgqAbL1mfh5HHRDK7Jqgbd4eroo49Wbz2RedcSgI8axdmd9iLjmrbkVOLksdFwBTIeR0rgZdd1ZlmdqZO4GBMdiFPGx6ixPUPlsplJ3b72wgWTVYAt2StrkABSSEmsjJToGli44ovrf35JVx8vtsPf/ZGycGauh8rCERHq7fjRPTcz1PbPy2zfgZJtJjvyqlVXWelhIc8jg6UtrElQfQ3LcslO/m/5Pvx0oBR/P3WsxWMhiRxJbZOhgi/AjFGJUcZqQpaQk7XZtH30KaecYsurJzNoTxp6HcPVE+kcXp5TqcouOwbXx4+OUm/2JA2zJsRZN7iXE3U/L3fUN7epebyuvtf3u71FaGhpU8Ht1QMoAe6ovrlVjUySzqMDIXvr5Rho5co0NDw93PHEmeN7/X6ZsVok3IJqkb2FNdiRX4WHT0nDSWnRVp4kYFnTPCJraGhuQ3Vji5qyweCa9JS5DjCjUV+ssTllXkXPvTqILOXaKS4XCq61/b6uQAsutfJceyqpacTmnArVZMOWAXtSKEvDNRJYxwf74JRxMRaNTPp2TxEWPv0rHvhq74B/VvbXP3DSKFw5OwnRVqpMoMHTMtfaaC1LAmGtV4I1LE6LwodXzsD84eFYn1GO2ibDCSHRUDpqmGF03cfb89ViIpFeMtdSxdifkVGGKiTp1WNpA1OinjC41rH6plZUNbR0mmnpCrRROYXG7r4dA92hPoF4d0sern9vOz7YahgTtK+wBss25agO39aklYZnOcCCgr1dPD0Rn107u8eSfHOE+nn2m1WU4zfvqVU45YV1OFBc02nM0qnjY3HT/GG6Hn3niGQEn2yB+WqX7Ldv7zlzbcGeay247jpSbzCkIkIqG15el4VbPtqBbblHRloSDZVFaVFqIVKe6z7dUcA7nlwqcx3k44kRUQHq490FR17HiQaLwbWOFVQ3mJ5kzFnF04sYLbg2Zu01F76+CQue/hWHS2uH7LaMiDRk0X/YX6wC+9+yyvGvlYdVR0trB9ey11xK/MjA0gY9WgCmNcHqyY68KjS1tqOopgmrD5fxLncAEk7f+MF2/OXbfWrEVUdaM8Nw43i8gdBO0t7YkG3V7IacBGqLYWkxg9/HTWTJdoqlswyLkE/8dAgXvb4J2/O40EOukbkW05INvQaW7y2y6e0i1+I6EZcLKqxyvZJwERvkayr10UgzokpjFn8oR96cODpKNdeSk33JTh0Zw2XdY3LF7GRce1Sq7ueZDwWt6ZUEZJIN7RqkyzF8Y0OO6XNtj7WQ+ZrtaEdadBCCfPn0OpTkb1+qVnIqGpBTUd+pz8T7V85AVX0L/M3IZnTV1HJkRr21OnrLQttdn+5SH0tjw8F0MScaDKm0kQoKWShsaWtDW1u7er3cU1CNsbFBfE0hp3LDvBQ1dtXcPkPXLRyOT7bkIjF0YFNFyLpaWttUtZ9ephYwc61jja1t6sQtfoCjiJxdQoivqXuwRpslKw/bYF+vIc0MaA3MDpXWHhnDZeX9uDLqi4E18OOBEpz43Fo88NUei+/LUH9v9Xci42kqG7qXAr+6LqtThYCUIss4G/HfXzNw0wc7sDaD2Wx7SDGOP9tf3Lk6Rfbeh/p7wdtz4C95Z0+OU/vn5aTNWqX+cgIhfzdieAQb35H9yGPi0dPG4cJpCXhw8RhMSQzB3Z/twlXvbMXnO6xbYUVka2dMjFPJBnMXQkfFBOGli6ZgljGDTfZpQnvsM2twwnNr1BhVPWBwrWNHj4zE19fPwb/O6r2Lrh5Jpl46B995zAjT18qNwXWwr+eQr4yNMJ48Hyo5ElxHWFCeSv2TvbWScZYuuJaSRYowY/Z6V75htnHHjONXxif/f54+Tu2xltJeLZMt49+Eq3dst5fJCYaFrK3GwNUaEkP98NX1c3D1nBSrXWfHcXk8qSN7mxgfjN8dO8K0EKxtdVl5sNTOt4zI9mRBSd60UZraYjkNjfgQX5UIrGls1U0ykMG1C2BjpSOZa2uVdQ7EiEhDw4w9hTUdysKtXwb66PcHsPTtLUO6p9zRaIsokqUcjJPHxqj3b27I7vT1Nellak+XNAE6emQEzp4Up77+6vostR9X23qgNZijoTXNeILUsZpAFrXu/WI3XlyT4VCH48Z5qVgwPBznT423900h6uTi6QnqvfZ8RuQMZISmbM3aV2RZc7KPt+WpvgM/HSix+m2j3smi3luXTcez5040LZA7OwbXpEtyYi0BtdY5UuuaPpQl4ZppSSHwcAMOFNcio8zQwCjOBqtz8oKyu6AaGTYc++XoKowdvge7r15OLk8ZF41rj0pBXmUDnl2Vjt8yy7Ehy9DlfcGICFVqfOvCYepzCbg3ZhuypbLv19dr4Ht7afDGxgTB28NNLbJkGh9rsv/6h/0l+DW93KHu4qvmJOPJsybwb4UczhkTY02VOMzikbOQ53ppannbRzss+nnZTiT9BjYZX8tp6Ph7e2BWSphukoEMrnXs5ve347r3tqnMjauRjsEnPLcWn+80jBepNgXXQ99kSpoV/d8pY/GP08aasueyL9zatFnXjjDf296Za62sezBbC/5ychra2oBzX92A137Lxi0f7sD4uCDcfvRwnDgmylTeOyY6UL1JB/GO+37JPvtHZRV8bmoYCmsMDQ0Lq41bMQb5N0HkKuS1RBaEZdGwa+d9IkdV2ziwTuFdTYo3ZE0tzXzTwLS1t+PLXQUqRuk6PtPZsZ2tjm3LrVQvjnrpvjcQEcbuu9o4roRQX5w6PgajjDMNh5oEY9J5+p2l01FU3WiT1TmtFDmbwbXVyv9fWJOJ5lbDk778W1LTpJqldPTmpVPV8fz3z4fV5ynhLAm3p0Vjo/HN7kLMTjE0qNldaNg3Pyqa466IzCGLhgmhfqqfRHpZnctNHCHnVNNk/ozrnsgiuZAqQwn2pDqNbCerrB5//Xa/6l2z8tZ50FOowuBap6oamk3z/swdSaAn2v+5wDiObHpSqHqzJ1nkGBkZoN5sQQuutdm5Ll0WboUspZRDnjkxVj3hyxzi97bk4WAPVSDaQonWzCyFzczs6qyJsThpTJQa7fH9/hJ8tauwU1aCiMzrFSIBRmOHUXREzpC5DrAwc50S5qcmhdQ1t6rGqByRaFt7igwL32nRgbqbdsPgWqfyKxpMZdAypsnVxAb7dJt1rXemzHWF6wbXWpfuKCvMEZeg+fSJsept1aFSFVwv31uMv56c1mM1iOzPlvFvU41Ntcg+5LhJWWBzaxv+9PVe09cnxgXxkBCZ6dHTxjJzR06ZuQ60MHMto1MjArxV41mpMGRwbVuHSwwJiZF2qii1JQbXOpVXWe+yWWsRG2TY01xQ1WDK5Eupm6+nu24aJvQ0MkiU1ckoqlaXbJT0d+O+dluMqpGFqp4eT78cKsV/fjmsmmn9bUmaTX4/DZw83m9bOAxP/5KO3x87wi7NDImcFUtiydUy10K2QEhwLb060gxDQ8hGMnQ8upTBtc4z164aXGv/bwk0m1oMGaw16eX406LROH2CoROq3sg+oxBfT/VeuqO7YnBtK7KH+9OrZ6mMddesdVtbu+oCb2kTFbKdS2ck4syJcQiyQyNDIiJynsy1mGxcSLd03zaZ77Bxss2wCAbX5CQKXDxzHeLnqZokyH6xoppGU7fwIB0HQJKRX3HTXN1m5u2ttwBN29+9M79adRnVmqKQ/cljgYE10cDJtoob39+uskufXD2LjyNyeHNTw+Hv5aGqyCx117EjrHqbqGeyp11Gp4kROgyuOYpLp2TvSHSgt03mKTvLSbV0Bz9/SrxqlHBkzrV+g2vhyoG1jMI64dk1uOXD7UP6ezt2Jn93c+6Q/m4iIlttq8irakBlQ4upfJPIkUm/E5nmMTvVMCmCHNfajDK0tUM1+I0M1F8SUN+Rhgu77fhRuGxaPFpcuNPnvSeMMn1c3aj/zLWrK6trUieCNcZ9V0OlY2fymcn27UhPRGQtcuIrc673FNaovhNErlS5IQtMZBvHjYpC6DleplGnesO/HNI9GamkBdd6z1x/vqMAVy7bgtfWZ8HVSAMSId0+h5Is2EindilHmz88fEh/NxGRrUyMMwTUO/OreCeTw5NtWXsLq1Fr3Httid0F1Tj+2TW48PVNVr1t1Jls25Qyfpmwokf6jjQIrh5USzm47O3QVsf0vv9S/q+y9zfJ2Dncldir86SU4r9+yVS0tLazIzUR6caEeMPe1ZUHS5BbWY+EENd7XaHez68e+m4/PN3dce8JIx1iS9pDy/djb1ENnjp7AuYNs2yhWxIwct4o/Xrk/+gI/y+9aXeB+5WZax2qrG/Ggn/+iGuWbUGrbGpwUV/tLsQJz63FPV/sVp97uEFlF/UsMtCQtZVREq4mvbRWvR8WMfQngNIpPLRDeTgRkbObkRSKEZH+qG9uw8fbCux9c8iBHCqtw+c7C9V5lqOcZtZaoVt4lHH/rwTXWq8esp6axhac+fIGPLXysLqP9YrBtQ7JbOfssnqkl9Z1GxvkSqKNT5KyZ0yam52UFq371bJIY0l0SU2Ty62EHhnrEGDvm0NE5PRkz+lF0xLUxywNp4625xm2CkyMC3KY80yt30qAt+egypXDjE1KC6sbrXXTyOj7fcXIq2zAmvQyeEvGS6f0XSProgqMTwgxwfrrwDcQsg9W1Da14o8njnKJ5hTaqmtxrWu9KGRXNKiZ5l4ebroc60BEZA/TEkNx7uQ4TEtis0Y6YntupXo/KSHEYe4WU+bax2PQFYDl9c0orXOtJIWtbc2pxKM/HFQfS8JLz8kuBtw4WAAAAQAASURBVNc6VFjV6NIzrjXy/5cnWVnNlP24o6L0P39Yy1zL/7mhuRW+Oi+DFwdLaoF26T4Zibb2dpf4PxMRDYWkMD/c02HyBpHYX2zYhlVR14x9hTUYE2Pf86umljY0GXvrBAwicy3CjVu8ymqbrXHTCMDGrArc8tEOtVXV19MdS8ZF6/p+YXCt58x1kGvOuNbIqtioyABsya3C5uxKNVZEzytlQhYTpKxJ9rLIvutEnTc2kxf2i1/fpJqQfHbtrEG/qBIREVHvWlrbTA1EP96eDzmtujfGvgswHTuE+w9iz7UI9zckKUpdsHeNrbz+W7YKrOekhuH+E0fpcrZ1RzwT1aHCqgb1PtbFy8K1kiUJrh//6RAOFNfigUWjoWeyeCCdwuuaWlDXNLTznu3ht6xySVqrcvgABtZERDbpaSGvn6+uz8beomr4enrg98eNwHSWirukrIr6TvOJs8vrYW+y/U9I09rB7gFPiwlUk1dcvfrTmvKNccnlMxMRG6z/xB+Da11nrvnEcMWsJNU4ob65FZfPSoIreGfpdLiK9Znl6v2sFO4HJCKylQe+2ot0Y7ZS/PnrvfjoqpnchuOCZBa0kBBWQmwti21Pgd6euGl+Ktqt0Ln84umJ6o2sJzLQWy2AuEpFLYNrHZKSFlkZinOB1SFzRiS9eek0VbbkrvOScFe0IatCvZdSIyIisk1F1GNnjMOXuwpVILXyYCmKapqwYl8xTpsQy7vcxUxNDMHdx41UHz/240H1tyCVcoMtxx4MGYV55exku/1+6tvz5092qbuIwbUOPXbmeISFBaC8vBYtOp4jZy5HGRNB1p+XmG9s3jcxLph3LxGRjaSE++PmBcPUx6+uz8JzqzPwxc4CBtcuKCHED+dPNfRz+d/aTNVZe1teJeamhkNPXKUpLFmf/mcTEbmYT7fn44q3t+CN37KhZzLHXUQFeqsKBSIisr1TxsVA1qy35lahiLOAXdoJY6LU+3+tPKwanVlKJn3I3n5LSfOxfUU1KKkZ/BjS3Mp6HPfMGix+ft2gr4tcE4NrIp2RVeRdBdUOsQ/KlrT9f6nhnGtNRDRUooN88ODiMfj0mlnqY3KtirGvdxdiZ36V+vyGeSkI8/NCVnk91mcatmkNlDQPu/TNzTjxubXYlG3Zdfywv0RdhzSvHawwP29UN7aoPcLy/6XBWbGvGOe8sgH/Wjn4Y+MsmO4h0plQP8OMxsoGfb8opEUH4rqjUhDLkzsioiG1ZFxMr9+TDOTL67KQV9mAe08YBW9P5nH04lBJLR78Zh/ig33w2bWzEezrhVcunoKIAG/4WVhC/eKaTNWNXoyICDB9vbyuCSF+Xmb1y9FGcUljs8GSveMy3rOqoQWF1Y0OXRn3/pY8VDU04+o5yQ47aja/skEtvsgiiqtw3L8YIhpUcL0ttxKrD5dicnwIgnz191AfHR2o3oiIyH5+Plii5taOiwlUJ/iSqXphTab63oS4IJw9OZ6HRyeyKwxjtxJCDXuuRWKHjy0pB//xQIkpCy6NyTR/+Hw3yuqaccHUeJwyPqbPcZs1jYZRXAE+1tkjLdN2tOB6ROSRgN/R9oRLQzkxLjYIRw1zzD3vRcZS/cgA16ly4XIikc5MTwpRq8iSub7zk104/7WN3BdHRERWJRnqG9/fht9/tlv1+ZDSXCHBteadzbmD2ktLjiWnwjCvOGkQAXVH+4tq1H7pAG8PXD7zyLjUktomlc2WjOdjPx7CKS+sx+M/HlSf95W5luuxBm2UrQTXjiq30nAsxAdb8+CoSmqbTP1xXAWDayKdkTKtJ84YB09jl/QZyaFqFqWeNLW0qax8TkU9T9yIiOxAstQXTU/E+Ngg9fl7W3JVJnJLTqXpMt4e7qis1/cWJVcir7kiMbTzqNcX12TgqmVbBrxnWpuZLRUOXh5HQpLIAG98df1sNfIrJcxP7X9+b0ue2rvbU7NWbW+0tUq45fcLCfwdlVQM/N+SNPXx6sNlyDA2eXU0RdWG+zDahYJr/dWKEhHGxwXj/StmwMvDTc081xvZyydZeVml/umWo+x9c4iIXNLCERGq/8UpL65X3cMlsJaqKT8vd7yzdLoa20T6kW3MXHctBT9YUocd+dWqY/f0pFCzr29PYY16nxZjWKDpKMDbE+dPjce5U+LwW2Y5lm3KxdqMcvxnVTqOHhmhxsNpJPi2ZuY63AmCax9PdyweG43v9xXj50OleHdLrupx4GhKao1l4YEsCyciJ5cU5mcKrKWU6vOdBaZVZ2en7eGRTrWO2sSDiMgVyPNwfIjhtWZnfjXmpIRhTmo4A2sdyjWeQ3QtCx8R4W9qeDYQ+42NzGSBpjfS0Ez+np4+ZyLOmBir9mB3bXJWa+XM9ajIABw1LAzDOjRYc1QXTU9Q77/cVehwTcPa29tRXON6ZeEOm7l+99138eKLL6KoqAjjx4/Hgw8+iHHjxvV6+e+//x5PPfUU0tPTkZiYiDvvvBOLFy9W32toaMC///1vfPXVVygvL0dqaipuueUWLFq0aAj/R0T2IyMQpGzormNH4KJphidiZ2Z6sjauLhMRkf2MjQlUFUXiP+dO5KHQocr6ZtMUkoQuZeEjowJMGeyBePLM8Wrxf5gxOO/PAyeN7vHr0vBsYnyw2ddjzvxubYa3o/p2T5EavXpUapha0BoXF6TmzzuSuuZWjIoKUPuutVJ7V+CQwfV3332Hxx57DM888wwmTJiAZ599FldffTWWL1+O4ODgbpdfv3497rjjDhWAn3766fjiiy/wu9/9DsnJySog//vf/44NGzbgpZdeUoH1119/rYLvV155BXPmzLHL/5FoKI2JDnToPTkDVWzMXEdxDBcRkd1Nig9WDc0kcybZKqko2p5XhadWHkZkoDf+eXrvyRFyDr5eHnjq7AmqQWrXsVvaCK3DJbVq370547OENF+Vt8E6Y2IcXM3H2/KwJbcKkaeOddgFrQBvT7xx6TS4GodsaCZB7/nnn4+5c+ciKCgIf/jDH+Dr64tPP/20x8tLEH7aaafhvPPOg4+PD84991xMnjxZZapbWlpUMH3TTTdhzJgx6vtnnXWWuu7PPvtsyP9vRPagNZLQglJnx8w1EZHjOHNinOqwfPLYaNNWHfl3R34V9hibVpF9SKm2NBy77aMdqiHYX77dh2pjBlojmcVd+VVobm3rc4/vvGHhOGtS90A2McxP9XhpaGkzVTDYgizcyFznA8WGvdq2VlbX5LBNU4uN+8FdKSPsLBwuc93Y2IgdO3aoTLXG3d1dBcsbN27E5Zdf3u3ymzZtwjXXXNPp68uWLTN9LFnrrry8vFBVVWWT/wORo9EaSWgjEWxNVq7lxKq//dDS4fOtjTlYnBaN1AGUc2l7rqNcqEEGEZGj8vf2wGuXTEWIr2e3cUayqNvS1m6aYEFDR/qsLH17CxpbjgTNUoZdVd+MJ84cr8q8//H9Qfx0sAStbe0I8/PCeVPiccXspE7du/sjx3ZUVKDq/i0LKubMvl6fUY71meVqoom5M5qlzPj4Z9eqj3++dZ76u2tpbVON1OQ8RxIJ1ujDIvfFmf/7DQXVjfji2lkO1xhWAv6SLnuZK+qakV5WhykJwexFY2cOF1yXlpaqbHNUVOe9DvL5tm3bul0+Ozsbra2t6u2yyy7Dli1bkJCQgJtvvlmViPckPz8fv/76K+6//36Lb6enp0Mm/RUP4xOi9p70w9JjG2tsNiMrnbb+261vbsUFr27EsHB//LufUqWnV6Tjk+35qtnadzeb3/W70Bhcx4X6OvRjcSD4uNUvHlv94rHt/jqjiQnxVUGXBNYVDc0OF6C4wvH9ek+RCqxHRweojLM0/PrrN/uw6nAZtuVXqYA4MshbBZOSmZY9vC+uzcSBklo8efaETtf104ESNDS3YlpiCGJ6OJbTkkJQVtsEiePNeV3+6VAJPtqaD3d3NywcFWnW/yfE0xtBPp6obmxBSV0ThvsHoKCmEVcs26pu/9q7FpgdWPZ1bCU4CvL1VMH1obI6JHboTD4QJcaFJWv/7cv/X6oEtMdZK9px8gvr1O/66OqZGB7pGI3YXl2XhU+25eFstWCT7DKPW4cLruvrDZ0Ivb29u2WaJUvdVU2NoTTk0UcfxV//+ldMnToVK1aswD333IPQ0FAsXLiw0+Wbmprw+9//Xu3FPueccyy6jfJEEBbmGH+4fQkO5ggMvRrosR3lYdgfJS98QcF+8LThE051aR2yy+vVW3CIPzz6yFa0Gl8Epcx7II+pW44bjYNFNZg1KgphYdZpYOIo+LjVLx5b/eKx7T3gzimvR227c5w36e343n/6BNy5OA3NLe0I8fdSXytpaMVzKw9i/tg4+Hl74JFzJuPqhSMwLDIAX+3Ix53vbVWBdFZNMyZ3GKv1zuZt2CCjsC6airSUiG6/689nTMRD55h/brHP2Cl8tnodN/9vIyHMD3sLqlFj/Js6WGmIDSTgDw/vvev4QI/thMRQHCiuRVbVwM5PRFtbO37/4TZ8vDlXfX71/GH406nW6ztQWmSIfWQBID7a0ItqwahI/LSvGGuyKjF9VDQcQU5Voxrf5u3jZZfHv70etw4XXMveatHc3NwtKPbz634neXoa/gsXXHCB2kctZP/1jz/+iLfffrtTcC3XKY3PpBz89ddfVwG7JeRBU1XluI2hZKVG/qCqqurR2sf+GXI+lh5b9zZpMCLl2sCh3Ao1OsVW/NCmSsJll1J6XkWfzUounhaPz7flIdTPC+Xl5o/wOCopWL3JbxnIzzkyPm71i8dWv3hs+yZluhJcH8itwIgQ59vGo6fjW95oKCO+dFocEgK90FDbgAbjy2ektzuqq+qxMCUUi8ZG45vdRfhkYxaSA4+cJ6cbg+EwL7deX3fNfTWua2rB3nzDXvyUIO8BvY5HBXhhr3Qmz63ApCh/pOdXqq9H+A/sPKK/Yzs8zBCPbDhcgvJp8RiIdzflmAJrMSrcz3TbpLpPyrr9vS0PwQ7nVaj3kf5H7jvpGi7B9a8HinHpAG+vrRwoNBzjKF+PIT1Xs9XjVq7TnGy4wwXXUv4tAXNxcXGnr8vnsbGx3S4fExOj3qekpHT6unQKlwC7Y3B+2223qbLzN998U2W1B6Olw/4VRyV/UM5wO2loju2fF41BsK8n/Dzdbf53oYLl+mYUVTUgpI+5k9H+xr1C9c2orm/u1oHUFfFxq188tvrFY9uzGGNfjLyKBqc+H9Hb8T12ZGSv/5+jUsNVw7PkUD/TZSQg1Hq2xAX59HtfaB3je7Mhs0KVMMcH+yA6wHtA92248bxBupbLzxVUNZqCa0uOUW/HdnK8ISO8JacSjU2tfVbhddTU0oZX1mWpj3937AgcMzJCJRm03/Huxhy8/ls2LpmRqPa3WzKbu6DK0DQuIvDI9cpsbrG/qMZh/lazygyJyIRgX7vcJns9bh1uE4mUg0+cOFE1KdPIfuqtW7dixowZPQbjMl5LmqB1tG/fPvV1rdT8+uuvV2Xlr7322qADayJnJHMgF4yIsHkA+/PBEhVYi9I+GqjVNrWoxmcB3obbU2h8gTTnRUUaoUijFiIiclwJIb4qgPL0YDOzobYxqwLXvrvVFOiZa/HYaPzrrAk4bcKRhJZs8xLSsC7Yt/eqz0dW7MeJz63FTwdL+/wdm7MN2eaZyWEDum1Cq4YrqzOcZ2iNvbTGrdYi+9Hl/KSmsRWrD/f9/+lodXqZ2uomXbzPnhSn9ltrzeFk0eGXQ6WqkdxzqzNw+ku/qUBb9rwPxPxhEXj14im4dcEw09dGRPirCkW5X4aqeW1fKjrMRU8Kc85tFboJrsUVV1yBd955R+2dLikpwcMPP6wC7DPPPNP0xylNzzQyZuuNN95Ql6+ursa7776LX375BUuXLlXfl4x1WVmZGtklo7jkZ+VNrpOIrOufPxw0fVxa23l7R0c/7i/BCc+tRW2T4XGYX23e+I5f08twy0c78K+Vh61wa4mIyFauOyoFn107GxdPT+SdPMQyyuqwNbcKu6wwCk06gItRUX3vm5UgUYIq6Rrel6xyQ0ZTGq0NlGSoOy7el9Q22mQklTTjk4UGcbjU/K2gK/YWqfcyls67S2M3yeb/9/zJ+NuSMUgN91ONyZ5ZlY7//JI+oNsme60nxAVjXGxQpznkycYgtr/7fyhkGxdkZGuIq1UlOlxZuFi8eLEKhqVJWXl5OSZMmIBXX30VgYGGRgVS1i3fW79+vZqDfcYZZ6iA+6mnnkJubq7KWEsgLZluyYBLZ3Axc+bMTr9HPpe910Su8kK7t7AGccE+mJwQYpPfIfMni4yryNqMyN5IoxBNWnSg2qdtDtMqNWc7EhE5NGuMRSLL5BurweQ1f6DknFoCPwmKJOu6PtOwx3daYt+Vn3Ju8fnOQmzLNWSme6MFxgkhA89ojo0JwgVT49V70XUklTVdOTtZlYVPjDOUiJujoqEFUqhx9MjuTd+0oP3ksTE4aUw0Pt6erxIS727OwanjYzCyn8WL/kxJCEFGWT02ZVdg4Yief39XUkFYWd+stvNZ8/GaZQyutYDflThkcC0uvvhi9dYTmXXddd61ZLW1zHZH06dPx+7du212O4mcxff7ivHCmkwsSotCZlk9jh8TiYBBNNToyaGSzqu7fZUmyexTbU+SvFA+/uMh/HKoDHcfN6LPJ/hSY8DO4JqIiKjvfbmWjIG64PVNSC+tw0sXTFbZUVmcF7NSQvsN7rTMqcyf7m0yycsXTUFlfQt8vQZeQDsxPli9ddzyNiY6EKOjB94pvD8yq/29K7pvSe3Lf8+bpMaf9bdHW74ve643ZFWo7uxP/XwIz5w7yazf8dG2PPU7jhsV2en4SoA+PjYIs1LML7f/67f78PXuIiSF+uLcKfE4fUKsRfvAu/LxdFe3Jc24COJKHDa4JiLr0lZ1l+8tVm/yYnnb0cOt+jsOltSaVir/vGg0EkJ7X7GU0jEhq6W5lQ14f2ue+vzymYl9ngxoq9QRAZZ1+ycioqFz5yc7VbD177MnuOSJtjNmrmVvtbZALqXN/7twMr7dU4xJHYLankiAJvuUZbtXelmd2rfcE1lADzWWdw/WknGGxsa2VNfUio3ZFarRmwTz5gSW5rr96GGoqGvCeVMSzP4Z2actx1eC147nS1I5MJDKRKkwkMBayMgs2W735oYcfHHtrEGPbD1hTJR6c0UOueeaiKxvfGznF8Xlxn1B1nTIGFwfMzJSPcH3lV2uqDf0TQj181Tl6hp5Qe6Llg2PCHC+sS5ERK5ImixtNDaxciTymlVY3ahKY/WmoNryzLX22q293koTs/OnxvdbNizf1zLI+4yzmG2VlX9rYw7e6TDuypb2FlXjd5/uwtO/HFYl89YkpfEvXjil1zLyrqQiQP5mDT878GPb0c/GxnPS0fy+E0ZiWIS/yoZrgbX8XzdklQ+44ZqrY3BN5CJkL8+UBEOALd1bv7huts2C65FR/v1etrLBkLmW0qb7vtxj+rqUopmzVyvSBvuriIjIumYmG0qJ5STd0fzxyz049cX1+PuKAypY04vm1jZTlZclmWutI7dUlQ00mJQSbbG7oOfg+pPt+bjj451Ysa/zyN2ByCyvx79/PowXfs3A5pwK1e/FlibEBqtstCwS9dXc7MmfDuGKt7eoMm9bKVCLQYbsuHacOsoorcP7W3LVVJX+rMs0XOaE0VE4e3I83ls6HbcuPNKBfHteFW76YAfOeWUD3t6YozL35mhta1fndq6KwTWRC/n7aePwj9PGYtnS6XC3QaMZLTCODfLFe5tz8fK6zB4vJy/WWlm4rHKfOznOVIqWEu7fZ2mW1jBN5iYSEZFjm5FkCK6lMZRk3RyFZKsleBSf7ihQXZtlnrMelNc1IzzAG76e7gjz87I4c/3u5lwc+8wafLunaECLKVMTgjG6l+Zcv2VWqKkfgxmnOSEuSI2dkvLz69/bjls+7DyO19qkNH6qsdxa9kj31VVdurPL4sZA7Smsxvtb8vocYSq0v9n4YN8eKwm+2VuEx3481O/ihZyHjYsJUosh05MM/ze5Puk6rpHS8yAfT/U7n/r5MJa8sA6Pfn8Ah0uPNKTtyb6iGhz99Gpc/942uCLuuSZyIfKCedxo2+yBkSfqR08bh/yqBsQG++A645Pq0plJ3fbuyKrmkrExKnste67/cPxIXD8vVX3cF3kxfWhJGrIr6q22X4uIiGxbNSXP7bKgKoGHraZVDJRkdlXjKTcgxM9LZSVli9LURMe4fYMRHeSDb2+Yo4I8SzpAR3WYGS0BrIx+Mpd0qe6rU/UhY2CmZbgtEeDticnxwdiSaxgRNrqXvd3WNCM5VGV6f9xfrJqwyv366+Ey1Da1qK1wMsv9SPXewLt+S/XEnsIa1U/m+D7O03KNixLxvZSEj4wM6NQDpzdy+x9YNLrPy8goMilX/2ZPkUqYSNb+o2356k0WUR46JQ3h/t2z5zvyqtDaDngPct+2s3LN/zWRi/t4Wx5u/GC7GtdgLfJELS8+p02IVR025YRFyAlLVxJsy5P6Y2eMV6M+VHMTM1bXZUV10dhoXDM3xWq3m4iIbEeqpCbGGRqZ7Svq+4TfFvYWVqu9uV33jWodsGVPsja/WRZu9UTGaFmia7+U5D6akw64WqDCOiOaTp8Ya/p4sCOszCF7kb093FRAL/uv39yQjTs+2Yn7v9qrthTkVTagvrkNXh5uSA7rf2tcV9rM6l35fc+oPmicyjI8wr/P4Fqyy9boJSDnaGdPisO7S6erTuiyP1sSHZLNDvHt+bxtU46hv8I0Y0bc1TBzTeSCtudXY2NWheo0Od1YsmftkyktE1Be36xW0c3R1NKmGqj0tiJLRETORxolrTpchsx+GlbaglRRSdAjry9LZyWZvr7NmPWU10HJzMosZy3wc3ZS3i5BkaUSQn0xNiZQZVJlZFScBa/Jsg9a9h6fOj7WNJaqqLoRTa3t6nNLGq117RJeXNOktqPJCCpbSwrzwx9PHI2HV+xXf8vypvktq9wU7A4L91ezrAdqhDEo1hZ9enOwuKbPBQW5nX5e7upv/nBJXa+Xk9nWAT6eZt9WLYEib7KQIA3zeho31t7ebppzPk0HVSCWYHBN5IKmJ4bgq12F2JVvOLmwBnkylRc5WX2VfdShxuBa21vd9YVfsggyskMrWatpbFF7u8Qvt83r8cRAXqjlRWNCXLBV5jASEZHtSQA7NzUMwyMHntEbDMncSZAhZE+1BAOXzkhUVVtaTxApA9f2WudUGPazOjP5v5zywno1NutvS8aoTt8DlRjqhxvmpeL2j3eq8VoDDRbl9f381zap/cORgT6YNyy80/0rXa4tCUC7LuJfOTsZQ0nGcEUHeat94xdPT1DJgIvf2Iyd+dXYm9B30NsfrTqgv+qJJ8+aoMrPJYjuidyvcuxlsWhzTmWvt+cv3+7D2vQy/HnxmAGPM5MEiJYEkdsiyZqT0qIQ5u+tOpnLuZ9ULw6m9N+ZsSycyAVpT4pac7DBkiY18kT98IoD+M7YRCPMuCdaVke7Wr6nSAXSf/h8t+lrEmj7GwNqWd3uyRM/HcKtH+3EweKhLy0kIiLLSK+Pp8+ZiHMmxw/pXShNMCUD2zHwkMyalCTLvmLpuDx/eLgKJvVSFi6L0NWNLcgsr1PNqCy13zhKy5L9zLKIsSjNsG/4+dUZpvLkvcbrTBlkSbg9zUwOw80LhqlAUrLN0jBO9u5/uDWvU1n2QGnBspRb9zX6ShIL0regp73OGq1vgDQR7E1uRYPaFx3Rx/WY489f78XjPx0yNXrbaxytOjwyoFNzNFfC4JrIBcmeaC2ItcbMxozyerUiLS+oF01LUF/T9lD3lLnWZmd23K8jGWztdklTtK4ks63Ndhzq7AcRETkfCUTeuHSa6XMZJySvNTLC6Pajh+PlC6eo8uRU45QKKcl19pnXqw4ZZhefPDbaomZmGm1/vHbfDNQVs5LUorkE1Cv2Ghbd65ta1SK6lBbrgWTPFxrnU1c2tKjEhbZ/f6Dk/Ef2aze3tps6qVvavV4Lrnf2Up1o6JRfb9oCMBjaXnFtWsz2PMPv7Lio5WoYXBO5IK1ZSUNLm1rh7o2UdO0u6Lu5higwBsMjIvxNcxe14FpGgvQWXEd0mVWdEm5Yue1pjqT2xB0V6G1RmRsREdmXPPfLfs2h9u+zJ6ig5x+njzMFRSeMicIYYwAgWcPHzxiPZZdPh/WHVA6trHJD0DQ2xhD0WEoLvsYbm9ENlGR2pQRfPPdrhsrGXntUCn64ea5qkKUXx46KVO+lBPqza2ZhTqqhBH6gPIzl3OKltZk46+Xfuo2ykvFaj/94UJVh92V8bDCeO28i3r9yRq+d8tXedzdDQz9rVELmGc8DpyWF4ITRkX12jNc7blokckFSqiMzpWWlVUrDewtWL3p9k2pI9s7l0/vcR1RQZcgod3ySvnBqgtrHI3urutLmOHbtSCplRCsPlpoC6Y60uYq9dcgkIiLHJd2Vn/4lXZULP3TKWIuvR7J5UrI8Pi6433270lRLstdHDQtXb72R65GRQ85OKtG0fc1Jg+zw/fTZE1Umf8ogmlKdMTFWBYqyoHLTB9vxwgWT1bQQTx1VC89KDsVLF0zGRGNgPBjXH5WqssqyTeHUF9errtxStaf1mFl5oERtvZMkRl/Zf9nuIOXrvSmuMZyzyfUMdu+7do6Xb1w0mz88Qr25MmauiVyUdPCWkq2e9kRrAn0Mr4Cbc/peJS0wlmvHBR/pCp4a4a9WYbVMdk/BddfvDTeWn8neHdnD1JGWzR4eYfuRG0REZF1aVu7X9DLVp8MSEmgsfXsLrnl3G854aT2Wbcrpc2uTjExa+PSvWH3YUCpt7j5teXNGshhe19yqsu+DnboR6u81qMBayL52CRiFVMk1WFjm7OjjzuR+6qlztiXl3DLBRUrEpUpPtl537LC/u9BQSThukFUJWvWgNJsbrDhjUkX2ipMBg2siFyX70FbeOq/PUVzSNEPUNLaaVRau7ZnuSPYOfW9sctbtib1LcD09OVTtx5In6W92F3b6noyUEMxcExE5H5nyEO7vpV5PtDm4A/XlrkJTZZNUXf1r5WG89lt2j5eVoFsuKwu1UQHmBREfbcvDaS+tV++dUbaxJFxei709HeMU/6o5ybht4TC0tLYPOkvqSrSgNc9YGSj9a7SqhLGx/e9nLqtrwpM/HVILTF1p52BRPSQ/Bnw7jYs4MhZNptCkl9ZZpZePM3OMRx4RDTlzXuS0THRPDcY6kidV0XXvjoxoOO/VjaqTuNaMTJ50eysLl88fOXUsHj4lDXO7lPAdMpaFa7MgiYjIeUhmb4GxXPSXg+ZnkjvSFmpvXTAMV842zKz+bEdBj5eVRVrZ+iSvdVJJZQ55VaxqaMFPByy7ffYmAfUxIyMwO7X3kmB7uGxmktr/KyXhZB7t/EtLXuwxZq2l0705fWe8Pdzx3pZc/HKo1HT+pZGqBtmeIfujB0sWzGTvtoTTcq53/msbTfuvXRX3XBNRj3va7v9yj2l1s7/g+r/nT0JZbRP8vTs/pUiWeUJcELbmVuHV9Vm494RRaGlrx6njY1WALU/KXc0b3vO+uMfOGK+CdQbXRETOScZefbazAL9llVv086dPjFWBsszUlX2oyzblqkVZKTfWxv7IntVnV2XgjQ3Zpq7FsgfVHNq+7B35Vfh4ez7ON06/cHSyaC2dwaWJmbxWkvPTkhX5xsy11lzW3C7c8viQMWrSrX1bbiVOSos2fW9uarh6swZpDvi3JWlYm1GuKkuGhfsjIcR5R61ZA4NrIhcljTE+2ZGPKQkhuHJ2cqfv/ZZZgVWHy7p1H+3rybWnvTvyYn/DvFTc8P529aR768JhCPD2xH0njhrw7R0fG6TeiIjIOcmeUskOZ5TVY1N2RZ/bknpy+oRY9aZZectR3bKhsnC7MftInxB5jRtIQDM6KgD7i2vx9M+HcfK4aAwkByz/J5n7K805/29Jmmlqhq1Iya9kJqUQ7cULJqvqACm/J+fXtXJwd4FhfrQ08jPX6OgAFVxr5eS2IoG7/B2KBSOsE7Q7M9ZnELkoyUqvSS/vcdSW1vzllPEx6kVbVk67lhWZa1piiDrBkH1v5o5gkTmd72zOVc1riIhIH0L8vNRILLcO24kGo6cyY2midc/xIw2/z9cT50+NH9B1Skdr+bnaplZ8uDXf7J+TqqwHvtqr9oLvyq9GsO+R/FWzhQ3c+iKvj1pAI42vpMnblcu2osTYCZqcm8wXl/OnkcatcFqHb1n8MZeW9NB+tuN+bEubCvZWObE+07CgNd/FO4ULZq6JXJS2ot61W7g8SUo3VyF7cqRraqC3B1raen4i3ldUg9fWZyEtJghLZxn2wHXNXkvXS2nGISdT8SEtkF4X0qlcvteTR78/oE5QJsYFqVV42WcnPz8nNUyNqCAiIuf0xxNH4WBJLRaPPVKmao5d+VXygqK2G/kZS8B7My42CG9dOg0hfp4DnuMr5bR3HDMcf/12P97dlIM7F6eZ9XNSeqttpXr41DRV0SVkYfmcVzZgZnIoLpgar14rrWFXDwvj4uQX1mP5jXMQ7j/4ZlVkP1LV8cIFoZ2a0JbXNanqP3NpDcu0v0vNxW9sVlv53rpsGkZHm1dm3pfv95eoczQxwcK56HrCzDWRiwfXFfWds8P7i2pVEOzn5Y5piaH45+njcMvCYXhnUy5WdOn6rc2flifWdRlHysi7kuBalNQ0YdnGXBz7zBo8vOJAr5fXRohomW7p3PqPHw5ii4UdZomIyDFIWesZE+MG/HP/WZWOK97egh/3l5i+Jpnb817dgAe+2qM+l+BDgs7WtnaMiQkccGCtOWF0lGrSJAGyZLDNsdq4lUoqvjruZ12bXqYqv2Rr1GVvbcE172zFd3uLBp053CmLDcaRltLETNuLe87kOAbWOhXm7z2gLvDauVfHKhGpsJDHiTQg66nvjSXk/LDjaDJXx8w1EVw9uO6cuV5lLAmfnRJmagLzxc5CvLclT71J0N2x7KfA2Gwjpo+TGG0MSnFtIw6U1PY7UishxFc1QdPmJppmXLNTOBGRLkiV1IasCjz/awb+cPzIfjO6mWWG3h8p4Ueql2Tbkuzf9vE0ZLJ/OliKv684gLmpYXj6nIkW3zZpjrb6jgXw9fZQmezyukazM8nTu8yGPnpkBF6+aAre35KrFqK35VWpNwl8JBA+Z3K8RXuz9xUZXksvm5GIS2Ykqo9lDJJ0kyb9kIUiKYLQKiEGQisLlya1GgmsZRuBPHYkWLcGqfT445d7VBd/YnBN5LJC/Qxra5UNzaq7qvbELR0fxbwOo7Ck3HtzToXao/3mhpweg+u4HmZcay6bmYjzpsSrjPTStzerr2n7iPrKXEtwLS8EZXWGBQDOuCYi0ocd+dW47aMdaDXuF37uvEmYFN9zs6baphZTaWtK2JGF2dgg307jijYY931OtEJTr4HMZJbX0P1FhoZT0rG7I9n+JP8vebv96EZ8vC1fdSKXbOLzv2bi2FGRFgXX6abxlEfuj2Fmjhwj53Dh6xvVgsnCERFoam3DhdMSBtTle0x0IFbdNs/USV9ojyPZNiAN8KxB/ra/vG62Va5LD5i7J3LhxjJCVjBlrqfGy8NNZayndFl9v/OYEeq9VnKnKag2nNTEGjtb9iQl3F+V6EkJX7axa6U0temNNsZBysK1rLUE3P3tsyMiIucgJ+SfXTtb7UWWfckvrc3s9bJaQ80gH08EdWgUppW9yjxruQ7p1i3kOodSbkWDKh+X186+ZmpLs7Xr56Xii2tn429LxqhgaXjEkdfCV9ZlmVUy3tTShmzjFI+OP0/64gY3dY628mCpSm5UdzhXM3eBqGNgrW3PEzLCjmyDZeFELkr2xUhTMa3rqLZy/vz5k1Xw3HVBMynUD76e7mgwvqhrJxDaDEYtg9Cb3zLL8Zdv96mPowO9+yxH6pi5PlRiLAnnijwRka7EBPmoBmdnv7wB6zLKVafrnsY6FhmD6+igzq8b0pFbFoSbWw2NOMvrm9Xr1HgrNFX6dk+RyjCfMD4WF0/pe494YqgvVtw0V91OczLesm/25LEx6k0j/3dZYJA9sbJocPakOBV8S1l6V9LtOdjXS2UztQUG0p/UcD/V/E9jjb9rbStgqJX2W1N3zFwTubDvb5qLlbfO69aBW0qFunbylq+NNGab9xfXmPbMaeV4fWWuhad0hzE6tcOc0t72XIvCqgZsza00lTcREZG+yOuP9vy+MbvnppUyPUJEdwm85XUqwrhQ++5mQ1Ml2bZkjaZK1Y0tqonmlqwjM7N7I7dDFqgH03lZbvNVs5NVgzIpGX9hTaZq4NZxv6xGGrV9c8MctZe7t6kb5PykmWzHGfFaVd9AyILNrR/uUFv7hFapKOPmyDYYXBO5sK4zQmVfW1/GxxpWTTcZT4CkFE812+iQbe6NnBRJ05rfHzsCS2d2H9nVUWSgNx4+JU2dOOzIM3RElXmPRESkPzOMZdwbjWXdvWaue8hqSzAqtGkSx4+OtMpt0hqDpZcYFpOHYqvWtUel4ItrZ+H/lqSpyrLM8nr8fNDQZLQrWfAewSafuibB9GsXT1Hd4OX8yRK7C6qxLrO8U0NAGYM3JYHnVLbCZQsiUqQU7dxXNqrRDP84fVyP86QXDI9AdkU9JicYmsXISv2q2+ereYn9ZQrk+s6bYt6qqzRXOynNMAP1vStmqAC7t0Y3RETk3LSF20MdSmA7mjc8HP7eHj027JItQ1IOro1ulAyfNaQYg+ussjq0tPW9B/q/v2agrqkV50yK63PPtTnktVSCn4yyOry8Lgs/7C/uNBNcmqfJgjYz1q4zuu6xM8Zb/PMdR6FqlR0dm9KS9TG4JnJhH2/Lw79/Tkddh7IzCbJ7yg6I2alh6q1rINzTHjlrkROqrr+TiIj0QxqQvXHp1F7HSEkH7q5duDV/XjxGNQDbnl+Fg8V1pkz2YEUH+Zj6jORXNvY5EeP7fcXIKq9XGcbBBteaGUmhKrjWmnp2nKf9zx8OYsm4aNw0n6OPqG/aKNTCmv7HyZF1MLgmcmFy0tAxsBYXTotXzVaIiIiGqiRam2Bh6RanaYmh6s1aZOE4KcwPB4prVRa5t+Baeo9oZevSoM1a0mIC8fz5k1Qz0Y6kI7p0T9caUxH1JS7E8DeZb6zsqGpoVpNXrNGXgHrGe5bIhZ0/JR5nTIw1jWW44+jhWDoruc+faTM2MSutbcJLazJx7xe7sdGMhi9ERET9kdeYrmSM4678qn5HVFmbjJHUSsP7anwmC9XaqC1rkS7h05NCVQa9I63niWS2ifqjNUGT6Svipg924KinVmNtRhnvPBth5prIhclq/wMnjVZv5nrkuwP4bGcBrjsqBRuyyrEltwrHjbJOAxkiInJNORX1qtx5bUY5HlqShpPSotS+Yplf/btPd6nL/HDzXAQPYcZNRiHF9dOss6i6ydSDROZc25KM4NpfZGiwxiafZA5t+ookRWTbX6Wx4kFmxpNt8J4lIotKjKR5TI5xJVR78iYiIrKEzKqWwFo88PVeZFXU49q5KSg27hWVwHWoA4KbFgzDA2dMRHl5LVqM2emutL2stpg3vepQKbbnVWFOapjKYst+a8nrp0UH2rTXCemHTF/x9nBTlRDldU0dRnFxzrWtsCyciAYk3DhTVPZ8ySxOkdBDZ3EiIiJzSSfwty+bZvpcumRrrzUiOtB7yDtkm/P7bLHfWvPzoVK89ls2NhvHjP24v0S9XzAi3Oq/i/RJegf8cPNRWH7jXFVdofXZCfFjftVWGFwT0YCEGZvObDDus5bRXSG+fJImIqLBGR0diD8vGm2qjpL911Iu3nHvqD3I7Wjo0vxTo2XWe5uyMRjSC0VIjxMp5/013bBPdpFxVCWROXy9PNT7SmPW2t3NsKefbIPBNRENiKx8diSlapy3SURE1nDyuBhVxlrf3IbcigY14kqkhNsnuH7xl0M4/j+/4v0teT1+X0rXv7txjupDYsvgWrqpXzA1Xo370hqtEQ1Ex/3WktEm2+CyBRENSKh/5+B6RjI7lhIRkXV4urthbmo4mlrb0NjaZgque5uBbWtt7UBFfQt2F1b3+H1ZXA4zbpeyNm1m98qDpSp7fsuCYaoRKdFAyBz2T3fkm8ZvDWbsHfWPwTURWZy5lnXPo0dE8B4kIiKrefzM8aaPM8vsG1xPSgxR73fl9xxc25KWuRZP/5yOO44ZPuS3gZxfSW0T1mdWICXMD4vHRqvtfGQ7DK6JaECCfT1x6vgYFWRfMj3BtLJORERkbbcfMxwZpXVqP7Y9TEgwBNcF1Y2oamhGcIcuy5JN/vPXe9XroZSHWzsjODzySPm3NHaTsWS2HvdF+iPNAIXss/6/JWn2vjm6x+CaiAZE9uk8uHgM7zUiIrIpaSI2b1i4erMXCaZjg31QUNWIwyV1mGLMZIutuZVYvrcYAd4euG2h9bPKAd6eWHPHfLy9MQfl9c3w8uA+WRq4UVGGhan9xTXqMaU1OCPbYHBNRERERA5jX1ENbv5guwpaP7t2tr1vDkZGBqjg+mBJrQqud+ZX4bfMCjz/a4b6vuwR97ZRRln2yV4xO9km102uITHUV42Kk+oHmSV/7KhIe98kXWNtCRERERE5DNluJGOD8qoa8fXuQtM4LnsZZSxJ355XhYeW78eVy7biv79moB1AVKA3Lp6eYNfbR9QXabqnVX/84fPdavGKbIfBNRERERE5jAh/L/gbS1cf/GYfVuwrtuvtOWpYGCbGBaGyoRmf7SxQXxsdFYCb5qfik6tnYWJ8sF1vH1F/ZAFI5ltLf4BhHOVmUywLJyIiIiKHYRhv5YW6ylb1+ZzUMLvenhnJYXjl4qmoaWzBj/tL1P7npbOS7HqbiAZCZqO/fdl0tX3BVlsYyIDBNRERERE5lAlxQcitbECQjyfG2KlTeFfSbfn0ibH2vhlEFhkZFcB7bggwuCYiIiIih3LDvFTV5fj0CTFqSgURkTNgcE1EREREDiUx1I+l10TkdBw2uD5w4ADefPNNFBUVYcKECbjyyisRENB7OUNhYSFee+01pKenIzExEVdddRXi4+Mtvj4iIiIiIiIicznkjvb9+/fjggsuUMHv6aefjl9++UUFw62thsYWXeXl5eGss85Cfn4+zj33XJSVlZneW3J9RERERERERE4fXD/zzDM45phjcM8992DJkiX43//+h0OHDmHFihU9Xv6pp55CSkoKnnzySZxwwgl4/PHH4e/vjw8++MCi6yMiIiIiIiJy6uC6ra0Nq1evxsKFC01fCw4OxowZM/Dzzz/3eHkJki+66CK4uxv+O/JeAurjjjtuwNdHRERERERE5PR7rktKSlBbW6v2TXck+6f37dvX7fI5OTmoq6vDiBEj8OKLL2LLli1ISEjA0qVLkZSUpPZYD+T6iIiIiIiIiJw+uK6pqVHv/fz8On1dPpcguauKigr1/k9/+hPmzJmDs88+G99//z3OPPNMfPLJJ2hpaRnQ9ZnL04EHsHt4uHd6T/rBY6tfPLb6xWOrXzy2+sbjq188tvrlYec4yOGCaw8PD/Veyrk7kuZj3t7evf7ctGnT8Ic//EF9fOKJJ+Liiy9WpeE333yzRdfXF3d3N4SFOX6n8eDgzgsKpB88tvrFY6tfPLb6xWOrbzy++sVjq1/BdoqDHC64joiI6JSR1lRWViIsLKzb5bWvzZ49u9PXp0+frrqCD/T6zNHW1o6qqjo4KlmpkT+oqqp6tLZ2XlQg58Zjq188tvrFY6tfPLb6xuOrXzy2+uVhozhIrtOcbLjDBdeBgYGq87fsh16wYIHp63v37lUNyrqS/dWhoaFqb3VHMoYrJCRkwNdnbubaGVa6AgJ87H0TyEZ4bPWLx1a/eGz1i8dW33h89YvHVr8CrBwHSfxnDocLroXMrH7nnXdwxhlnICoqCt999x0OHDiAp59+uttlpTO4zLR+9dVXsWjRIkRGRqoxW19//TX++Mc/Dvj6zOHm5gYPD/PuYHvinmv94rHVLx5b/eKx1S8eW33j8dUvHlv98uCe6yOuvvpqbN++HYsXL1Ydv7OysvDwww8jOTlZfV+C42XLluG5555T86xvv/12FBYWquB65MiR2L9/P8455xwVdJtzfURERERERESD4dbe3t4OB5Weno7y8nIVMMtsak1+fr763qxZs+DpeST5npeXp94kgI6JiTH7+oiIiIiIiIh0G1wTEREREREROQMOQiYiIiIiIiIaJAbXRERERERERIPE4JqIiIiIiIhokBhcExEREREREQ0Sg2siIiIiIiKiQWJwTURERERERDRIDK6JiIiIiIiIBonBNREREREREdEgMbgmIiIiIiIiGiQG10RERERERESDxOCaiIiIiIiIaJAYXBMRERERERENEoNrIiIiIiIiokFicE1EREREREQ0SAyuiYiIiIiIiAaJwTURERERERHRIDG4JiIiIiIiIhokBtdEREREREREg8TgmoiIiIiIiGiQGFwTERERERERDRKDayIiIiIiIqJB8hzsFbii9vZ2tLW1w5G5u7s5/G0ky/DY6hePrX7x2OoXj62+8fjqF4+tfrnbIA6S63Rzc+v3cgyuLSAHq6ysFo7K09MdYWEBqKqqQ0tLm71vDlkRj61+8djqF4+tfvHY6huPr37x2OqXp43ioPDwAHh49B9csyyciIiIiIiIaJAYXBMRERERERENEoNrIiIiIiIiokFicE1EREREREQ0SGxoRkREREREpCNtbW1obW2Bq2lrc0NDgweamhrR2mpex3APD0+4u1sn58zgmoiIiIiISCcjg6uqylBfXwNXVVLirhYXBsLPLxDBweFmjdtyieB67dq1+PLLL1FWVoZhw4Zh6dKliImJMX3/uuuuQ1NTU6efufjii3HSSSfZ4dYSERERERFZlxZYBwaGwdvbZ9DBojPy8HAzO2stixGS5a6pKVefh4REDOp36yK4fu+99/CPf/wDN910E4499lh88803OO200/Dpp58iPj4eubm5+Pnnn/HUU08hJCTE9HMShBPREY31tfDxC+BdQkRERORk2tpaTYF1YGAwXHnWdcsAZlzLIoSQADsoKGxQJeK6CK6feeYZ3HbbbbjiiivU58cffzzOOussvPrqq7j//vtx4MAB+Pv7Y/HixS65ekNkjr0/vIzkfS+i8cof4OMXiOamBqR/8Du0+kcj+YRbERAUzjuSiIiIyEG1trZ2ChbJfNp9JvvU3d294bLdwltaWlTW+owzzjB9TQLo1NRUZGdnq8/379+P4cOHM7Am6kVtdTnG7n0SKe25OLz6bfW1ttYWzKv4DAvzXkL9sgvQPsC9K0REREQ09JhMtN995vTBtaenJ4466iiEhYWZvtbQ0ICNGzdizJgx6nPJXAcGBuKJJ57AjTfeiIceegiZmZl2vNVEjiX/k7sRiUrkuMVi1NGGChAPDy+siroETe2eGNuyBwfWfTLo31OQsQsH37wOe755msE6EREREemKLsrCu3ryySdVh7jLL7/cFFzn5+dj0aJFmDRpEr7++mucfvrpePfddzF27FiLa/kdlYeHe6f3pB+2OLaVZQWYXrUCcAMKFvwTI/z91Nc9Pf0w4eLH8Ns7bphf9BZitj0Fj/nnwG0Q+1Bavv8T5jb+BlR9je3p85E0ZobV/h/Ojo9b/eKx1S8eW33j8dUvvR5bGUPl6tyMd8F3332D8PAIzJgxa8DN0AYT57m1S4s0HXn99ddV47JXXnkFU6dOVV/bsGEDEhISVHMzzWWXXQYfHx/873//G/DvkLuM5RakF+ufvgyzyz7HQY8RGPmnzd2+X1laCL+nx8LbrRV5S9cjfliaRb8nc88mJL57PDzc2rFx2j8w4/QbrHDriYiIiEir3j106DAiI2Ndft/1ddddpZKod955t1l/HNIxvKSkACNGDIevr6/Ff1C6yly/9tpreO655/Dyyy+bAmsxc+bMbpedPXs23n//fYt+T1ubzI+rg6OSVbjgYD9UVdWjtZX7ZPXE2se2OOcAZpZ+obLWZbPuRXl5bfcLuQci3XMExrTuR/qmH+AXmmTR76r65E4VWG/1mYkRCy7r+Xe5MD5u9YvHVr94bPWNx1e/9HpsJUCU6l0ZQzWQbtl6y1x7qIqEdki7IHPvB7nP5L6rrKxDfb2hMVxH8vdiTqWDboLr//73v3j77bfxxhtvIC3tSGatpqYGt956q3qbNm2a6euFhYWd5mAPlDP8wcqThTPcThraYyt7p713v4em8RehOX8HRru1Y4fXZAybdnKv11kcPBFjyvejPXcTWloM2y0GoqqsEOMat6sg3uukv/Pvsg983OoXj61+8djqG4+vfunt2Jo729lZ5OXlYu/ePSguLkRAQABmzJiN2Ng40/fr6+uxZs1qlJaWqArlOXPmqX5cQqvNzs7OwpYtm1TV8fz5CxEW1vf0m8EuTLjrJbCWrLUE1x0DayGNzGpra/Hss8+iqalJfW3nzp34/PPPccEFF9jpFhPZR87+DZi98TbMqF+NURsfQOLCa/HLyPtQPfm6Pn/Of9pFWDv9WaSe/XeLfm/+tuUqa33IPRXRyWk4uO4zZL18HnZ/+biF/xMiIiIiMld9c2uvb41dgsm+LtvQ3GrxZQfi448/wJVXXox1635FQUEBPvrofVx00dkq2Bbp6YfV5++++xaysjLx0kvP4+qrL1OJVc3atatx332/w+HDB/HZZx/j0kvPQ0FBPmzJ6TPX6enpePrppxEdHY0HH3yw0/ck0L733nvx+OOP44477sBxxx2nstXS4Ez2XJ9zzjl2u91E9tDy61MqyK1q90f9lb8iOCAYwYtu7vfnktLmDOr3thfvUu8LgicjGEBzeSbmNqzF9rx6AL8f1HUTERERUd8WPv1rr9+bNywcT509wfT5Sc+tRUMv2dtpiSF44YLJps9Pf+k3VNQ393jZsTGBeOPSI5XDAyHJ0UcffRJTp043jV8+55xTsXr1z0hLG4snnngUo0ePUZdxd3dXM75ff/1l5OXlIDR0nPqZ5uZmvPrqMvj5+aGxsVH9/PffL8ellxom49iC0wfXISEhao91T4KD5TQeSE5OxkcffYSMjAyUlpaqmdfh4X2XBBDpTWN9LcbXrlOl2QdPeANJAYbHx0C1tbXC3d0DjQ11yN+/HmEJYxAScaRZYE+Sl9yHTZmnIsgvRH0eNGIucBhIbdqPhra2QXUgJyIiIiJ9uewyQwAs+6CLigpx+PAheHh4qCC7rq4W27ZtwSOPPKYCayHfu+qqzpWY0ilcAmshjayTk1NULGhLTh9cS5Asc677I3X2w4YNU29Erih7xw9IdGtEASKROHpgYwlEQ101Mr76O4YVf4fDI67C8EOvYGZ7AUoQitqlq+EfGNrrz8r3kscvMH0enTIBLe3uCHarQ35xNsJjUiz+fxERERFR3365bV6v33PX5lcZfXfT3F4v23XY1+fX9n5O6TaIgyLl388//x9s375VdT6XbLVkomVqU0VFhXofHh7Z53X4+wd0+tyQ4W6BLTl9cE1E5mnK267eZwVMxDALMsU+vgEIqNyHxPYCJB58xPT1wPZa7N/xI0bNPdvs6/L28UOuexxS2nNRnrWDwTURERGRDfl5edj9suaSIPp3v7sFs2bNxdtvf4i4OEOF5CWXnKveR0REqkC5srICjoa1mEQuwqfykHrfEDLSop+X0m2fkx42fZ7lFo9Nx7yDgss29hlY7/3hfzj4xjXI2PZjp68X+w5X75sKDY0piIiIiIgKCvJRWVmJk08+1RRY79q1U3X+lr3VUuI9YcIkrFjxbac766uvPse2bVvtegcyc03kIkJP+hPWZJyGsLjRFl+HdPpeN+t5eG5/E25zbulU6t2bkEOfYlLzVvycNQqYfJzp6/VBw4D6VfCsSLf49hARERGRvsTHJ2DMmLF4/PG/46STTkZZWSl+/fUX9XX5WNx559249dbrcffdt2Ps2PE4ePAAdu/eiWeffcmut53BNZGLiIgbrt4Ga8TMUwF566K8KAth0cmdvlZbXYaxTTvUppuISad3/oHwEagr9AHabbv3hYiIiIich4eHB5577iWsWLEcxcVFmDhxMq6//mYcOLAf+/fvVZcZNWoMli37CD/99L3ag71gwdG4//4HERAQqL6/aNHJiIqK6XS9J564GBERETa97W7tshucBjxwvqys1mHvNU9Pd4SFBaC8vHZQQ9DJ8Tjisa0qL0Lre+cjqSULhUs3IiDoSCf+fT+/ifk770OGWyICblrX6edaWprh4e7BTuEOfGzJOnhs9YvHVt94fPVLr8e2ubkJpaX5iIiIg5eXN1z5+LYM8Lj2d9+FhwfAw6P/HdXcc03kAnIPbMKejx/EoQ1fWv26g0Ii4d3WAD+3JoS8MQ+l+YdN3/M+vFy9z448utvPeXp6MbAmIiIiIt1gcE3kAir3r8TC/JfVXmlrk0ZnWTGL1MdhqEbTF7eZSsIn1q5RH/uPP83qv5eIiIiIyJEwuCZyAT6lu9X7upBRNrn+oIlH9mBL87L9v76PzJX/U9nsDLckJI3teRb93g/uQ9V/5+PA2o9scruIiIiIiIYKg2siFxBXs1O990ycbpPrTxw9E7+M/KP6uBDh8A6KgkdwHPIRhayRS3st//auzcOItgzg0Aq0trCxGRERERE5L3YLJ9K56opiDG/PVR/HjO45g2wNYxfdhPzjr0VddTlSw6LV15rnnodR7h69/kxjUCpQCxxV+SW2vlaAhGs+tdntIyIiIiKyJWauiXQud8vX6n26WzKCwzuPJLA2aVIWbAyshZe3r/pab0ImnYEShKqPpzRuREH6DpvePiIiIiIiW2FwTaRzfunfqvc5Ud07dttb/KhpaL95J7b4zFKfl2//wt43iYiIiIjIIgyuiXRMZklHNGSqjwMnngVHVR0+Ub33rjxk75tCRERERGQR7rkm0jEpyfa/YRU27VmD5DRDdtgR+aTOxdqaXLQkLbD3TSEiIiIisgiDayKdc3f3QPJ4xw5ah09bDMgbgOLc/fDy8kNodJK9bxYRERERkdlYFk6kU+1tbU433qqtrRX48ha0fnyFvW8KEREREdGAMLgm0qnc/Rvh88JE7H/7ZjiLiuIcjG7ei7TWfdjz0YPI2P6TvW8SEREREZFZGFwT6VTNjk8Rhmr4NhTDWYTHpGBT4HHq44UFL2PmqsuQtWetvW8WEREREQ2xmpoafPPNl3jrrdfwww8r0NTUpL6+e/dOvPba/9DW1tbp8p9//gk2bFjf78/bEoNrIh2ScvBRRYb51vUjToMziTnnSawOP8/0eeOmN+x6e4iIiIicXnNd728tDQO4bL3llx2AgwcP4KKLzsaXX36G8vIyvPvum7jqqktQVVWFwMBA/O9/z2Pjxt9Ml6+srMCTT/4D7u7u/f68LbGhGZEO5R7YgOkoQU27H1LnnANnEhAUjjEX/QvrNp2EOeuuxdjKlWhoaVadz4mIiIho4KJeHN3r9xpTjkPVqUeSGZGvTIZbL4FxU/wcVJ71oenziDfmwL2hrMfLNkdPRsV5X1l0uCRQnjBhEh555DG4ubmpLPWyZW+gsLAAo0aNxtix4/Htt19h1qw56vI//fQDwsMjMHXq9H5/Pjg4GLbCzDWRDtUeWKne7/edBB9ffzijlMknoAKB8G5vQnHWbnvfHCIiIiIaArW1NdixYxtOOeU0FRgLyUhfeukVKrAWixcvwS+//IS6ujr1+fffL8dJJ52sLmfOz9sKM9dEOhRcZNhvUhNrWM1zRpKpTj/xLUQlj0Ocky4QEBERETmC4uv29/5Nt8751pKrtvVxWUOwqim9fJ3ZlzVXZWUl2tvbERYW0etlTjhhEf7zn39h5cofMGPGLGzfvhW/+929Zv+8rTC4JtKZlqZGjGrYCbgBQaOPgTNLHD3D3jeBiIiIyPl5+dv/smaKjIxSmWbZK92bkJBQzJ07Dz/+uAIVFeUYNWoMhg0bbvbP2wrLwol0prGxDpujz8U276mIHznN3jeHiIiIiMhs3t7emDx5Kr777ptOX//00w+xZcsm0+eLFi3Bpk0bVJdw+XigP28LzFwTOSmZAd2463P4TToHyePnm74eEBSGtPMfhV7sfe9uxJatR8W8vyJ10rH2vjlEREREZGN33nk3br31etx++00YO3YcDh7cj/T0w3j22ZdMl5k3byF8ff2Qn5+HE09cNOCftwUG10ROKn7V75GAQmDlB1hb91+MnOlcI7fMFVB9GKPaDuPn3B0Ag2siIiIi3Rs+fCTeeedj/PzzT6rs++STTzUG076my3h5ealu4fX1dQgLCx/wz9sCg2siJ9TW1opDqZciIeMJ9fnc327E5m2vIaopC+nDL0faSTfDzTjnz9nVBo8EitfDs2yfvW8KEREREQ2R4OAQnHbamb1+v6WlRXUFv+uueyz6eVvQx9k3kYtxd/fA2FPuRM5Ve7HZ19ARfFrjeiS15+Oog4+hUEejq9rDDM0pAupy7H1TiIiIiMgBvPzyC/jd725FbGwc5s1bAEfBzDWRE/PxC0TMpW9i1eq30VZbor4WPPo4JKZOgF74Rg4D9gMRzXn2vilERERE5AASEhIRGhqGk08+xTTL2hEwuCZyQoc2r4CnfzhiksfB28cPacdfA70Kjh2p3se0FaGspQUennzaIiIiInJlixefAkekq7LwgoIC7N69GzU1NT1+v6ioCDt37kRtbe2Q3zYia4pfdTemLD8N2bt+1v0dGxqVjKZ2D3i7taK8KNPeN4eIiIiIqEe6SAEVFhbizjvvxKFDhxAbG4uMjAxceumluPvuu9X3W1tb8cADD2D58uWIiYlRl//rX/+K007TZ3dl0reqilLEo0h9HJE6BXonmepc9wR4ohkNNWUARtj7JhERERER6TO4lsDZ398fP//8s2qvvm/fPlx44YUYOXIkzjrrLLzxxhtYv369Cq6joqLw5Zdf4t5778WUKVOQlJRk75tPNCB5+zYhWBaVEI7gsGiXuPcCblitup8n2vuGEBERETm49vZ2e98El73PnL4sXFqwNzY24tprrzXNLRszZgwWLFiggm3x/vvv4/zzz1eBtTj11FMxfPhwfPbZZ3a97USWqMzcqt7n+bhOBlcvY8WIiIiIbMXDw0O9b2pq5J08QNp95uHh6dqZa09PT5WZ7qq8vBzR0dFq/3V6ejrGjh3b6fvy+Y4dO4bwlhJZSeEu9a4meDTvUiIiIiIyjWr18wtETU25+tzb28ehOmkPlbY2N7S2tpudsZbAWu4zue/cB5nQcfrguifbtm3Dhg0b8Nxzz6kgW+60sLCwTpcJDQ3FwYMHLf4dnp6Om0nz8HDv9J70Q46pb12++tgtLNWh/w6tKXPXr/D76X40eAQi+cYvoUd83OoXj61+8djqG4+vfun52IaHR6Kiws0UYLseN7i7u6GtTYJr80u9AwKCEBoaMejFCN0F19IRXJqbyV7r4447TjU561gmoZHPpdGZJeSAhYUFwNEFB/vZ+yaQDQQ0GeZZB8UmO8XfoTVUhIVgWOt+VLQGIlTn/2c+bvWLx1a/eGz1jcdXv/R6bMPDA1Wc09zcbO+b4hS8vLy6xYqW0lVwXVJSgiuvvBITJkzA//3f/6mvBQYGqvcNDQ2dLiufa98bKFkJqaqqg6OSVTh5sqiqqkdra5u9bw5Z+dhWz74Lq/P2IyZmPMrLXWOsnE+IofFgKGqQnZGJwJBI6A0ft/rFY6tfPLb6xuOrXzy2+uVhQRxUX99/wlWu05xKB089zbi+4oorMG3aNBVYa6sP0sTMz88P+fmGUlpNXl7eoDqFt7Q4ftAqf1DOcDtpYKaedKkKquXYusrx9fIJQilCEIFKFGfvh29AOPSKj1v94rHVLx5bfePx1S8eW/1qtVMcpIuNBjk5Obj44otx7LHH4pFHHumU1pdN6XPmzMEvv/xi+po0Odu4cSPmzZtnp1tMRANV5BGn3tcVH+adR0REREQOx+kz101NTbjmmmsQFBSE448/XgXNGvmajOW6+eabVfAtWeypU6fi1VdfxbBhw7B48WK73naigaosyUPmpo1wD4xH3IhpLnUHVvkmALV70VaWYe+bQkRERESkv+B63759pk7gTzzxRKfvjRs3Dn/6058wceJEvPXWW2pk17JlyzB9+nQVkMsYLyJnUrBvDeZsvA37PUYCI1bClTQGJgO1gGd1lr1vChERERFRN04fXUrg/M477/R7ucmTJ3cLvomcTXOloXdAjVckOg+X0z+3iOHIKYpFq3eIvW8KEREREZH+gmsil1JTqN41+EbB1aQdeyVw7JVIs/cNISIiIiLSa0MzIlfhWWcIrlv9Y+x9U4iIiIiIqAMG10ROxLexRL13C3Tt4Lq9zTVGkBERERGR82BwTeREApsMwbVnSDxc0eHXLofHs+NweNM39r4pRERERESdMLgmciKhbWXqvV+4awbXXi21CEcVmkrT7X1TiIiIiIg6YUMzIidyYNK9OFRfiIT4UXBFdf6JQON6uFVm2vumEBERERF1wuCayImMPfYyhIUFoLy8Fi0trrfvuDU4CSgH/Gpz7H1TiIiIiIg6YVk4ETkNz/AU9T64yTDvm4iIiIjIUTBzTeQkinMPojJ7G+JGTkBI7Fi4ooCo4ep9VGshWux9Y4iIiIiIOmDmmshJlOz4FnM33Y6Kz++HqwqNNQTXYahGXU2FvW8OEREREZEJM9dETsKtKlu9bwxwzU7hIiAoDHs9xqDFzRueNRXwDwy1900iIiIiIlIYXBM5CZ/aXPW+PdSw79hVRdzwg71vAhERERFRNywLJ3ISwY2GJl4+UcPsfVOIiIiIiMiemeuHH34YJSUlFv3s/fffj8jISKvfJiJnEdlaoN4HxY6w900hIiIiIiJ7BtcrV65Ee3s7PD0H9mtzcnJwxx13MLgml9Xc1IB4VKqPIxNGoh2ua89nj2BcztvYE3060s77u71vDhERERGRffZcv/zyy0hJGdie0RNPPNFmt4fIGdRWFKv3Le3uCA6LQmVVA1xVe3sbIlEJr/oie98UIiIiIiL7BNcnnHACAgIChuzniPTCJyAEq8Y9DLeWOsz38IArcwuIUu99m0rtfVOIiIiIiOwTXN9zzz1D+nNEeuEXEIy0Y5fC05M9CD2DotV9EtBcbu/DQkRERERkYtczddmDXVFRoT6ur6/HfffdhyVLluBvf/sbGhpct+yViHrnExKr3oe0MbgmIiIiIsdht+B6+fLluP7661FdXa0+f/755/Hpp58iLi4OX331leosTkQG+Ye3Y/+v7yP30FaXv0sCQmPUfRDWXom2tlaXvz+IiIiIyMWD608++QR33XUXkpKS1Odff/01Lr74YtXw7J133sGXX36JpqYme908IodSse0TzNt6F6p/eQauLig8Tr33cmtFTSX3XRMRERGRiwfX2dnZOPbYY9XHmZmZyMrKwuLFi9Xnw4cPR1BQEEpLeeJMpB6oDYbtE60+YS5/h3j7+GGvxxjs9JqIlqZ6l78/iIiIiMhFR3Fp/Pz8UFtbqz7+8ccf4e/vjylTppi+L3uw5TJEBPg0FKq7od3YKdvVRdzwg71vAhERERGRY2SuJZB++umn8e2336pS8KOPPhpeXl7qe/I1X19fhISE2OvmETmU0IYc9d4rcri9bwoRERERETlScC3NzIqKinD77bejvb0dt956q+l7TzzxBK6++mq4ubnZ6+YROYz2tjbEtearjwNjR9r75pCZ9nz3PHL/dyYOb/6O9xkRERGRC7BbWXhUVJTqDp6RkaGamkmmWvP4449j8uTJ9rppRA6luqIQ0W71aGt3Q2TCKHvfHIew+9OHMCH3HeyKOQtjz30IjubAuk+w8IDhdtWvuQF5qWsRHG7ocu5spCN7eWEmwmNS4ebOOetEREREvRnSM6XHHntMdQHXZltLGfioUaM6BdaCgTXRERWFGep9qVsofHwDeNcAcGtvRQQq4VVf5HD3R8b2lZi18XbT535uTchZ+xac1b6P/4Koj09DWWGGCrQPvX4lqv47Hwd/+9zeN42IiIjIdYPrgIAAPPvsszjqqKPU2K0XX3wR+/btG8qbQOR0QmNHYPX4v2PfxHvtfVMch7+hsZtvYwkcTWtTHTzd2pDuloxV0ZerrwUVrIWzbkkYV/iJWsgo//5RHN74FebUrMCItgxEbXrM3jePiIiIyHWD65tuugnffPMNli9fjpNPPhnr16/Hueeei2OOOQYPPvggfvrpJ9UlnIiOCA6LxphjLsOYhZfwbjHyDDaUWAe0lDnEfZL70hnY++5dqCrLR8yoWdiwcBl8rvkRXsMXoLbdB21udtuBMyg5+39DJAyVRiHH/R5oa0dju6Hx5Mi2dBx642o01FV3+pk9y59D2fPHoSh7r11uMxEREZG92OWMT/ZYX3bZZeqtrq4Oa9aswcqVK/HnP/8ZlZWVmD17tgq4zznnnG4l40REPsbgOrjVEPjZU3lxLqY0bUJbyWZkef0JAUFhCJy4UH0vdfKJqJm6HynuHnBGNTu/Uu83+s1HSsJo+AdGYEPLo2gtOYAFOS9gTvVyVL0yA9vG/xFpxy5FeVEWFh58RP3M9m9+D1z3pZ3/B0RERERDx+7pFJlvfcIJJ6g3sXv3bpXB/uyzz7Bw4UIViBO5svzD21GVtweBMSORMnamvW+OQwgIj1fvw9vLUd7WCnc7BK+NDXU49P1zcGuqxmgA2e7xKrDuyMPT7k+xFmttaUFq0XL1cX2K4fk5ICQCY+ZfoD7+bcMUTF9/M4LdatFekam+Fhwej5p2PwS61WNS81Y0PZOKdUnXYewZf7Tj/4SIiIhoaNj9zK+pqQlVVVVqHJfWRfz8889Xb+Hh4QO+vu3bt+Pzzz/HAw880OnrN954o/pdHV100UWmoJ7IUVVs/wwLc1/A2qDFAINrJSQiQXVP93ZrRVVZAUIjE4b8uBz+5Q0cnfmU6fNC/9EYBv04tO5jzGvPQyUCkDTrnG7fHzHzVOyLHoHyw+sQnDTFtJiQecYXKF/9AuaWfghvtxYszHkOq39J4bYGIiIi0j27BdeFhYW4++67sWHDBrS1tfV4me+++w4pKSlmX2dOTo6amx0W1jl7lJeXhx9//FHNzw4ODjZ9fcSIEYP4HxANDbemGvW+1SuId7mRp7cP9niNQ6ubFzwb7dOnYexJN2Bb5teY3LRZfV4fPaPHy+355mkkpb+LrPglGHdm50U/R9ZasE293xV8DEZ1ychrYlLGqreOopPSEH3Rv5BeejcKVjyG+aUfoK1oz5DcZiJHIdtF/AND4OMXaO+bQkRErhBcS6CbmZmJu+66C6GhoT1eJiIiwuzr+/rrr/G3v/1NZae7BtcHDhxQ5eennHIK3NzcBn3biYaSe7MhuG7z4hiujqKvN5Qs25PPqU+h9OPTkOeVglEnXN/zhZprMaw9CyXlzhVgRs5dil/TJ8M3PNGinw+JiEfAuf/Eqk/8MOK0+61++4gcVc7+DUj77gLUu/ni4LynMWwKK+SIiFyF3YLrPXv24JFHHsG8efMGfV2HDx9WzdBuvvlmlJSUYO3azmNv9u/fj+HDhzOwJqfk2Vyr3rd7MwPiKBrra1RGKiJuOFpu3I5oWQTpZd+3Z3QakA1E1x+EM4lKGK3eBsPT0wtp5xkanBG5irZV/1Tz7f3QhFm/XoENWxYi/uKX4e3jZ++bRkREehrF1TUr7WmlZj+xsbGq7PvKK6/sMYCWzHVQUBCeeuop3HrrrXj00UeRnZ1tld9NZGterYbMtZsPy8J70tbWOuSNzGJeHo+WZ6egprJEBdV9NVSLGX2Uep/SnouKkly4qsZ6wyIRkZ5VFGVjSv069XEZDM/ZM+t+wcEVz9r5lhERka4z15deeikef/xxPPnkk4PuCC4l332R4Do3NxfHH388xowZo2Ztn3766XjnnXeQlpZm0e/09LTbukS/PDwMt017T87Nu7VOvffwC+ax7WD3969i7K5/IMN/GkZeu2zIjkd+zm4kurUioL0ePmGRcHPv+3EWHh2HQ+6pGNGWgeI9KxF57GUO/7itrS5Hxlf/gPeIozFy+qJ+/499aW5qQMt/5yC+vRg5S7ciKCwKrsaRji3Z9thGxCZh2zFvofbQLxh/1p+w6qunsODw4xiW9T48Pf/Au9/J8LGrXzy2+uVh59dcuwXX06ZNQ3l5uerWHRIS0uM862XLliEx0bL9fh3dc8896nq06zr55JNVcC/7vl966aUBX5+7uxvCwhx//2twMEvQ9KCkzRBcB4aFm44pjy3gFxiAcFShqKlwSB+PB/K2qvdZvqMwIcK8aoJDgaOAqgy41+b1e1sd4dhmbfkC8wvfQE7Rdwg/6dxBXlsAStEId7d2NNfkIWx4KlyVIxxbsv2xDT/2VEDeAMw45w5s/iURo+edicBgxz9voJ7xsatfPLb6FWyn11y7NjSTjuHHHntsr43L+stIm2vOnDndvjZ79mx8+OGHFl1fW1s7qqoMAY8jkpUa+YOqqqpHa2vPndjJeZROvR0FlXmIjRmvjimPrYFbQJx6H9ZShPLyoSs5bsnepN5XBI83+/c2ehqmFLRUl/X6M470uK3e/ZN6nx08HQFWuG/L3cMR0VaJ4uzDCE+aDFfjSMeWbHdsi/Mz4R8YBl//jv0x3DFszvlobsWQPk+RdfCxq188tvrlYaPXXLlOc7LhdguuZR61lIUvWrTIpr+npqYGd9xxB2655RZMmWKYxSqKi4vVTG1LtbQ4/gmS/EE5w+2kvo2YfZbpY+1JgscWCIgwbCeJbC9DUUOjap41FKKqdhs+iJts9uOrNWQY9leOROv/s3cW4I1c19t/R0xmZqZlyDIFNszcMDZNk7T9l9uUUvjKaZs2adM01KRtGJuk4ex6mSm7a1gws2WLWfM9986MYU2CEdg7v+fRM7Ikj0bSwD33nPO+uvQp/ycefluNldOkcKfOEmVbLMp0wHUS7sGOmH+2WBIPv61E5H5by+v3o8y1G5tqfo7qs+8Y8xq3ywGn3YLEFCKBKDGdkI7dmYv0285cfDG65sasAYyUgYtR8j0VBoMBg4ODePTRR6lNl6BU/vbbb+O6666L+PtLxJbGHW+h/R9XoLWOE5iRmDkkpefBzcohZ1iYelujJmZW5Gui91NLlwb8fzUX/R9S7t2AWRd/E9MBg6ePLhVJXHVAuDjUfDBh7RJlfRIS8UiGizsPqVLGjm2Ovv8okv8xF13v/TwGWyYhISEhMeOD63PPPRdPP/00vF5vxN+LZMh7enroe15//fX4whe+QG/XXnttxN9bInYYu5uxcvf9WODejaJP7qLCStMNn9eLhs0v4/ie/8Hr9cR6c+IKotDdJcui9wfb66Lynt0n9kPF+KgKcHpOKWYqyb5+utQk54qyPq+OC64V9h5R1ichEW+4nDbksNz+nZI/a8zziqRc6Bknygdrwfql6gUJCQmJmUrMysJVKhU++eQTnH322Zg9ezbtrz7VRut73/se0tPTg1rv1VdfTVXBR1JcXIw333yT+mH39/ejrKws6PVKTD+6tz6LKv5+GkzYfuATlC25GNMJp82EVQe+Qe93zJ1ePsnRoFddhEJnB9zd9QAuivj7aRLSsCX5csj8HpSHoaAd79ZmaewAwACG9PCcHIYwZNOFxikF1xIzk77WemQzLCysFslpYys+ChecD8ceFbKYfmx69fuovu43MdlOCQkJCYkZGlxv2rSJ+lMTTp48Oe5rhDLuYCgpKRn3cZlMhvLycnqTOD0o6PyALt2sAgNMEryOQUw3nHYTXbpYJZSqsYr6pzu2jEU42OWALCE6PYyZBVXIvCl4v9q2ht3I+uge2GV6JH15E+IZy0A3shgf/CyDxDRxMtfqjDIcap4HW5Iw3SUhMbMwd5AJPqBDkY/UcSbe1Fo9dhV+EWtbH8OKnhew7+AFKJ53Vgy2VEJCQkJiRgbXTz31VKzeWuI0YLCvHRVsCw0QTlz9KVKzilE1DTONJHNNsDGShc941Fz2fboUpzM4csgVKuSiB2afHi7EN/qENOw/7y04Td0oE0kkrnTRBcCiC8BNp0pIzDx8fQ10OagtQuok56t9T+7CQtdOlGx6AJ7qvVCo1FHdTgkJCQmJyBLVaOPf//43TCZT1P5P4jTG78em9C9gl+FspOWUgpmGgTXBw2euHZCC63iYsGk5vAkuhzXo/9UmcnaDiYyN9tHHM2Swn1exGGVnRL7MXkJipqAaPEGXrsTJtRgSr36cLtNhQm8bl+2WkJCQkJg5RDXiePbZZ6lyd7T+T2LmYLMY0XJ026SBCREsO/nMzVTROTmzANXX/x6lt/8T0xmvy0KXDpk4nu8zef+ItGBd5543sXjDDej/141B/6+eD64JdusATldIP7ck5iQxE/EWrcW2hAugKV4+6euIDddhxRwck5XA4zBHbfskJCQkJGZoWfjPf/5zKl4WDH19nC2MxOmJ1+0Cnr8Yi9lWHK6djaRbX4NaaxjzuuOvP4g19g3Yuu99VKy4auhxYsOV8Nl3YVWmIf/u1zGd8Dm44Nol08d6U+IW4+Nno8rXgNqKH6DmvC9H7H0UvYfp0pxYhWA7kUm/vJ1VQ8e44LD0IyE5A/EKmcSyNWyAMncOypdcKso6yaSY8u/zkcqa0XTjTiSmxnshv4REcMxafxe83rHe1uOR8cX3aDVVkvQlS0hISMw4ohpcE5Xuzs7OoP+vsLCQqotLnJ40bnwWa1nOP3S29zCanzkH/nu3omn/JxAE5ovnr4fMxwngJR98HI0Mg8L551ERGdbnRYX/ODpd0y9L4Hdy2+yWS5nriRjQFgHWBsxp/AtcZ94ZsR7GVCtXwslkzQvp/y2MATq44LQYEc9Yj9ViXdtj2DGwHhApuJYrFFCyXupJbhvslYJridOa6dqmJCEhISERZ8H1449zvUYSEoFCSn0rGrj9Zq9mOfKdDShi23Hy8TVYxrYMvW7n/jPBzLoW2P0mZnmPAHu+gq2NF6Hilieg1CbQ12jgRHx3u44lpWIVav3fpR6pEuOTfcXvYXt+KVIZM3Z8vhGli84T/asimdci70lqT5VUvDCkddhkBsDfD4/NGHIFx8mXv44061GYV/wIxfPPRiSQObk+f6+SO27EwiRLRCJrg8siVSJJzCyMPe3oaGpCSm4FVOrA9THMxk4qWqnRJ0kTThISEhIzhJiphUtIBMKxT5/EWvSiD8nIvPFZ2N0ubN73HvwuC0qO/XLodY7MRSievQ7YPfy/irnX0aWKD651rBPTLXedXTKX3iQmRp+UhkOJ67Dc8iHcxz4FIhBc93ccQzbjhoNVISO/OqR19GrL4HUqIVOEVoXTWPsc1prepvcHN9+HwdJt0CekQGxkbu4o8akTRV2vTZYI+DrhtkrBtcTM4timV7D00E+wX3UG8r74ZkD/0/LUtZjv2AEF46d/byz8KmZd+p0Ib6mEhISERKSRapMk4hpt7mxsTboURyq/QvusSSBVdeYtKF5986jXZSy4DDpDMg4p59O/d+nWoWTB+lHBtZrxcP3bEjMOV9ocutRaTkZk/fZBrp2lX5ZKS5xDofT255By7waULAwx+HdZYWG5rFgyrGj5LDKVQAoP1+fPqsXtCHUouPX5bP2irldCItb4TB10addkBfw/7tk3o49JhZuV07+XN/8NR9/6VUhuBBISEhIS8YMUXEvENcXzzkLFzX9DzblfGvW4Vp+I7QlckLJPvRQZeeX0vuaqJ7B9+T9QeNtzQ6/V6IbLW6fbwKWtYTeO7/kfjN3Nsd6UuEadWUmX6a7IfE9uSy9dWmWxkyCqufjrcD7QiNpyztu7qO3NiChvq7xc5prRiPtZXapk7o7j9FVLl5iZyGxddOnVZQb8P+XLL4f8/v0YuO8E6uUVdPJ3bdtjaH/5AUQLt8uBxm2vw2aRjkkJCQkJsZCCa4lpS9blv0Vt0deQcu0/hh5LTs9D2eILIZNx2QBBqVnIDjh59e3pgnvrn7F8+xfRtfOlWG9KXJOUV0OXuf5OeL0e8defP5fua70VwdtwiU3hyhvhZJVUe6Dj+D7R16/xcRNQMi0fDIuER8WVsDPO+BZ0k5AgkPMIcZog/vZToXb0cHcM2UF/eeRapbn5DWxK49qYllk/Rk9reP7XzU9dj/Ynr4DTPvH1jkzMdf3rVqzc+1VonzsTjTveCus9JSQk4heiG3P8ubvQ+cQlkh1mFJCCa4m45fju93DywKdwOWzjPm9ISkfNJd+mpeJT0S3LRDuy4PNMr7JwpZf77IxqrPWYxDCp2cXYPPe3OHL+65BFQIk3q6iG7mvV59wV8jqOfvg43I8tRv1/vhbWtpA+6yOaRfS+qWEjxCbBx2WxVAni2oWxaZU4pJwHf2KhqOuVkCBBpNhVHCdf/BoWfXINOne/MeVr9S6uskWRGJrFHGlpqv7CH1Cb9yVsX/o40nLKEA7eebdigWs3Tnz2xISvaT+2B4ud2+j9LPTjjF1fQ9fJQ2G9r4SERHxyfMfrWG75AJY5d0huBTNN0OzAgQNwOp0Bv37+/PnQaDQR3SaJ+CVt12+ohdZm029RtTa8jKHmvl10GXjRXnyg8tvpUqYWV7l5pkGyP+HuI5GG9diRh2508APxYOjvaoLh9WtgVGQj++63IVv3IA4p1ZhVzPWai4nxgqfR2teEnNIFoq6Xa+34EoLP7UlITEzdi9/Emv6XcFgxB+lffHdU1VKokEC90sRNXDEWrp96MpJ9nI6AJiU8V4eaK34EMfCc2ECXqv6jE77GXP8ZXX6unAtj0SXIW3IVsmeg/zz5Les3/BPq5k/gk2uQev6PkJpVFOvNkpCIKv62nXQpb3wHWHm19O3PpOD6W9/6Flpahu2TpuLDDz9EUZF0Ejwd8ft9yPe1Uuuj5KLQrI9mAiq/gy5lGilzHUvaGnbB73EiNb+GVkyEAqPmfkOll5swCQZbfyuq2S7IPV4665xXsRiRIqd0HkBuEhLTgYxZQD8w2/s5at/4GWqu/mnYq+w4cQALYKLtF6WXcQHvkXf/gNLmF3Cy5BbUXPjVodcO9neiiB3kbPoyYzdeObHvI7iatkFftR5MzkKg7wWk2k9M+PrE7u102Z+9DrPOvx8zlfoNz2LN0R8P/b1pYzpSr/t1TLdJQiLapA0epEtP/qqhSScylpCYAcH1H//4x6HMdUdHBx588EHccsstOPfcc5GRkQGz2Uyz23/7299w2WWXIS8vL5qbJxFHDPa2IYtxw8vKkJZTitMVDZ+5VmikzPVUNB3cAHvzTmgLFg0pxYsFs/H/YbF7N2qrfoya9feEtA45X30gVCMEg3OAUys3ydMwdRNEfCNd1CXEhLRq1A62YG3XU/S26dMiVJ99Z1jrtG/jlPiPahYgn/etZtxWFLCdKDjxWxw6edaQRaJCqcbO6u/A330UFSJkfpsO1cJ55G0knnEzcssCrx7xHX4Na03vYLPTiMRldwKHgHxvMyxe7xiHA9JPXuE8RCcEEirPHHqctGB1/edOeBfcTrVLyN8n3/4JsgZ2wy5PgkOdgfxr/jhKJDTe8Zs74GYVUDFe+neCaeJs/nTEZjFisLsZeeWnbxJCYup9pMJTT493RcdO+B/7M+rzv4Cayx+UvroIEdVpizlz5uCMM86gtw0bNuC+++7Dd7/7XSxatAgFBQWYPXs2brzxRjz11FN48cUXwbJsNDdPIo4Y7Gigy24mAwqVOuz11b34DQw8fiYat0/dPxdPaFkuc63UiOs5PBNxHX4L61r+DFf9B6KvO8HLlX0qDYFb7ZyKnJ8gUYcQXHvNXHBtVQ33QR958xc49tzdaG/cA7Foq9uJo2/8LCLiRt3NRyF/rAbyv0m+7RLiUn3lT7Ap/QZ6v7Du72GtizhKLDR9RO97lnxl6PGcVXegicmn9weOfjL0uCExFctveBA1t4ljjSfb+Res6XsRpgOBX6tM/R1YNMid9xQV5yGjsAZmVgc940J7PZehHonH5cDe7OuxX7UYueVnDD3e/Pp3cIZzC3J3/IROgjW//m26LZW+Y1jg3oMVlvdx8sM/YTox64of4sQ1G7BjxdP070J344wSdGrZ9hIWfHApTvzz9lhvikSc0rb3XSgZH5qZPHh0WciCEQpLa6w3a0YTs5qA+vp6rFu3btznKisroVQq0d8v+aGerrj6uHK2PpU41Qt6WwsdIHhNXJAyXdDxwbVKJwXXU+HXcx31KkG5V0RS/HxPZWro+6OcnyDR8KX+oVj9uNTDwXVW12d0sGvrOQ6xMB/fjLUdT0B1+AWIjVKjQyosSGStM2pwKxEb6j77J46+/yg8bictbyy46PvwsHKqok8mckKled8H0DJudCIdxXOHs7rJmQVozr2E3l914mH0Pb6e3jqbjkBMbAXn0GVGz5aA/6dj37vQMB40ykpRuugCKBRKNOg40UNbPTdRcKqVZc01v0DeF98aldXWLOAnKNgONB/aAJ+aU/gnWFkugz+//V80EzadSMsuRl7NSprBToUZ9Rv/iZmCrpXrr8+y1aPtyatwct+Hsd4kiTiD4futW1NWglVxk/zyENrTJKZBcJ2ZmYmtW7eO+9zevXtp+XhqamrUt0siPmD6ucy1VSeOsrBHruPvjK88Hq/sKf8aavPvhyFVkoGaCobPKmvd/aJ7wZIBGSExvSDk9Si13EVNi+AvagoHJ4Lm0w0H1y5+n/a7xPNul1k58SanVnxhI62BG6iTGXSXc3odhxLxR1LjK1h7/Ndo/JjLVOsTUlGnmk3vG49+HPJ6/a1cpvdk0ooxPYlZy25EP5IgZ1jU+OrozesSd19Oq+YC+lLvcXruCQRVOzeW6kpbObTN9rw1dKkfCDz4L5y9GtsSLqD3vQf+g5pr/h+abj2I1juOwnrvUZq5t0OL7sbdmA6MnMRTaw3YnnMLGmVlUCbOjOup1+1ClWMvve9nZFjo2gnP0XdivVkScUaytZEu2ax5YFR6el/hk4LrGdNzPZLrrruOCpx1d3fjnHPOQXp6OkwmE/bs2UPLwm+++WaoVKpYbZ5EjEk219GlL0McNWSfgjuhwD29BvU1FwyXJUpMjkyTFHLZ9WSY+tpB8tUk65GQHLo9lcaQglYmB1ZZEoKVRFO7OXss6Ib/0yPjgmtWxOBabecy5D6D+MG1RmugGgoKxg+7xTit+jYj6T164sWvwqvPQs2VP4n15kwr661q9+e0hzC15uyhx40FF2Bbby40WVUhr7v0ip/hYPvNSFKOdSoh+h/mmzei/kgtWNZHHysM0zbrVDLyKzGABKQwFnQd243C2VyQPJnY4kLLBvpdqMqHM+35y67DgfJVKCgZLU7Y1XQYppb9yKxeg5TMsZPX8vk3Apvfx2xzLexeL520EGBvegfyhFSUThMhpM6nLke6uwOtS3+GsiUXo+LyH0MukyN5mmz/VLQd3YIljIPuL53zvobS/d/AqoHXsW3XuShfcmlMj8+WN76LXNN+OOQGDM7/MkrPuHRM779EdEi5403sO3EQuVnF6Nj/P/qY0hd8BZ1E4MRsT7/wwgvR09ODP/3pT3j++eeHHpfL5bTv+utf/3qsNk0iDnCv+SE2Nu1CxuzhgVM4+BRcIMLEWeZ6oLcdg22HkZBVhvRccQdppxtCZljjF/c3JkrdhD4mFcowBmWkNBH37UIo5oJuZSK6XWlQjMi4ePl9WswJowR3N13Kk7jeUjEhGTUro0MyrHDZBgFIThBN+97HStPbgAlosX2dlutKTE3bwU9RwHjRiQxkFXHZasKsESreoaJSa5FTOn/C54lbQMWKq4b+Vihkoh8nLapypLj3wdZxBJgkuCb94RkffxlqxoN96qUoXnDu0HNkInC8ycCBfa/R1o9dx9ci5Y7/jHm+cPZaYDOQyNjR2LAThbNWDj0XqlNCrMhwtyMXPehQcSXtpFx+JuHk9UUadYtRtOgiYP836N/6fX8HYhhct7zxfawafJv7g+jI7fkKuvc8BPMN7yNxBtq9xTtKlQb51Uvp/S61bpQTjURkiOk00m233UYz2KQMvLe3FwkJCVi4cKFUDi6BwpoVALmJBKvkTigyb2yD67aG3XD0N6NiBecz2H3ogyGbkE3VD6H6nLuHXmu3DqKrYSdUhhTkVy6J2TZPF5TaZLrUseJmrl2DXJ/+oCIdoeetw6PstmfosmKcCSMxWx1SvFz5uSY19PL3ybBBzwXXVj4Tf5rjPT4sjNXb/PmoQEZiYnwnPqXLk0nLUDFDspAjsauzADfpi+ImuyaClDofrfgifI1PI+mavwfk8Z3Yx5UROzLHv6aQ7CKZtMhBL/S1PwJmDe+jAjZTP+T/vgAOmR7WM3+NgurliDeIInom20cz+onZoyeubZYBtHz0CDRla1EyX5wJ/GhDPsP8njfo53OXX0T3hW1L/4YVO7+MUnc9rOOoxEeD1rrtWDLwX7pdtUVfg9zcSrPpDRkXoEAuVaPGGjlvCari9XwkIkNMr0o+nw8ffPABXn31VbzyyitUTfzll19GU1NTLDdLYgbCKvk+kxiKOJD+r4UfXYGVe7+GlsObhmxCBGRdB0a9vq/1KJZtuxM5H30x6ts6HVHxWT+9yMF1UuF8bCz+OvorOLGfeMGvNIg6YUT2z3SWEyoyhNFbPhl2GbfNXrsJpzvk+y42cucBgq3j86i+/2BfO+pe+jbMAz2jytSnA2nmw3Tpzxs7GeGwmdF54iDN6obynTT+68tUMT+WEEVfgtw+eXBNqDn3S1DdXTtulrp+80toeuZGHP3gr0O/b5mL++4Syji/2/HoOPMv2KdeAs/54yuDt/7vl9SWjIiEVn58C/3OAu0PjxYD3c20BYW08yRnjK7EafvvQ1jb+SR8B8Zm7qcLHUdqaXVBO7JQsep6+ljxwgtgZ9UwMA50N0f3fCKgqv0pVIwPezQrUXPJt1F545/R8cVjqLrmV9AnTXcjyenHkXf/gGPP34MT+zhhQ3VCOtVOGFTlxnrTZjQxy1y73W7cc8892LZtG/W4HhwcpCJm7733Hv7xj3/g6aefxvz5E5dmScw8Wo5uQ96nX0Y2+rAx717kr71LtBIiRpNE+5J8svBtvUKl48QBcHrWgO3YJlrup7ANq5crvJZRr/c6uL+djBZ8x7jEJCRlFNKZe5LBFrPgOLt4Nr2JQdcTFyHV0w3jRc8O+eSGXY0hUuba7bLTwShBa+CqAMSmN2EWnHYD5JrI7dEkgJgOvX1dTYcwj+V63DfP+RXy5orrzT4ZPa31yH37ClTAgs9f/hx9S74G3e4/Q8b6kPkl8a3sxJ6UyPVxrRr6vFljnlc8eybmoQe71jyP4nlnBbVuc/cJrDT9F10mUv7MVRTFgpwz78NR950oTpt4AGw19Q2VaU9kV+nra8QSey12dJGM4X1oq9uGMxgHLKwWOeWcmvhEwmYgtwkoufxn2FF3AXK3PYgCdNLvbOPHFZh1MVeWHA/YjNzEdT+TAsUpGX1l9YXAttdQZdkKl9slit1ntMmpXoWt7F/A+jyo5D8fKXtvl+ehwn8C9t5mIAifdLGQXfwIarc9j8xVd4wqS5aIPv1dTVh08m9IYByo7ecqVWgVZOV2aUw5UzPXzzzzDNra2mjGevPmzcjJ4YIo4m993nnn4ac//WmsNk0iipw88Cman/4CXbr2PEcDa8K69sdh7hHPh6/mvC/De/9RVNwSngdqOJgaaofu6/q4LLXe0T70mNI7OtPidfLBNS9cJTE5ao2OirgUzZlcACiWkMA6D91wBlEWTfrynX9dgp6/nz9K/bbw7AfQeO02FF7zB1G2TaHUYN85r2Pn6uciJjZWcfPfkH3PuyhZsD5ibReuJ1ah5fBmxDsMI8OW5CuxKe06VK27Jaq9iAOb/ooUWLgMRvWNSMqpxFzPQdR4jtD9LZ6xDHYjCdyEUkZB9ZjnBxTcFKbL2Bb0up0mbrLDJB+2oIoFyel5VIOD9H9PhO5f53DnhRZO/HM85MncNGOCkws0HYc5//qj+mVhTUCptXqULjwXzJ0bsUu3lj62rukPIVULRAq3hcv6m8f5LQvnnIU+JFEXiMYNXMtNIHSeOECtruLBSpD2/i+/EpWrrhv1eN/ib2HLwj8ifYR/eTTJyKtEzTU/p+J/IyHf2ZH//ga9fz8P/Z2c1apE5CAWhbZ3v00D63p5JSrW3ip93adDcP3pp5/iRz/6EebNG61kqdPp8NBDD+HkyZOw2eJLfEpC/J6hpZtvxRmOzfB8/hryzXuGnjuqqBkSYJgpZC28FJsybqb3S52HYBnsRY1zuBRcfUpw7Xdy9k9u2cQDLInIc3L/x7SMn5SbhouT/y19/G8bCJa+FlqCme1tG2UNRErsiPcu6bUTAzLYJscc6UEMpHczHlFs+An1Ocb2PyPeIZULlTf9BdVfEGdyJFCIR/E84/v0fsfi79PAngyEG+TlkDEsuvb9F/FMQnIWGq/fgV1r/jXuvm9Vc6J/flPwk7M+C1cib1PEtw0oUWPOQj89L2hGqHmfij6Xm3zI9zRTlfClva/Rv91lF4k2oZl309Po4Guyuv9zJx3UxwM+C6cfYVOMDa5JpvpwwS30fsZJ7jsJhIH6jVi69U7UvRG/yv7lSy9D5cpr6QRNNPH7OfX8iSDXroyOTzDLewTd+yW7sEjT9PL/YbFzG/wsA/PKH03L6ozpTMyCa6vVipSU8WeH1Wo1lEolfY3EzKVt33tD9w3Lv4hCtoNa9exa/RzU10/fXqiJIAPY0st/AherpDPmnhevoyqvAhr/6P2ddXGZa7dcKgoPlPrPnsOR//5W1OxbztbvY/GGG9DVuDPsdbn4KgQfX5UQCNbjW+iyVTVSzkxipNcrEf8zGztRReyZSBXIWT9Ew5aXcfSDx+KuF/RUetuPoe6TJ9G47fWovF/LxqeQyNjQzOShdPHFQ493J3NlwszAMcQzZJBOAofiecO2UyNxa7neY5mdC66CwsYF1051esyDZ9IPf+y5u8fNkva1HKVLIxKQmCI0G40lq3gu3Kyc/t4De1+hjx1SzkfFaq5HVwxIyW/bqt/SHltbSg2Ob/oXjr4xeeUh6fOve/m7aH76himz3STLSXrHg0WmTcZReTVsieOfN7OXcRoaVZ462msfCOmzz6PLeV2vUMG0WOFy2HD01R/R72WqoDZaHHvh/9D1xMVoOsCJDY5HXwYnUqvu3R/FLTv96Gr6HCtN3ATG1rm/HNUeQ66X1r+uhPexhTTBJREZYtaYVl5ejhdeeGFM5prwySefgGVZ6n0tMTM4+s7vsKDpSewvvB1Zy26Ez+uB8sSH9LlN6TdA1tUAM6vDMc1cFEdAvZOcbPDhd2igWngXN8iIBaTMb2fNDyFTJ6DswC/pZMKWovuxruUv0J1qIcVbLA1ZLklMSeHRR+kkzc7CM5CSEf7MPRnYpvmNVPlUnxa+PZVbCK75iZNAMHTvoEtz1jLqtz3Kr3brE/BrklFzVfhtNGQQ273jP5Al5qL67DsRCUhZ4LyWZ3E49QJU3fDHsNdHhJrOaHwYOsbFPcAAXUiHpf0wVh38Nn3I3fhb7F7yZ1QsuxzxBBHdSkjLhfHYNqypewifK+YCIyyeIoW6j5uAaMq9FLNGlAb7NVwGVOEiNmnTF1bLfQ6l4A0fBHIHF5B7+QA9VsjkCqzpe4HeP2HuHyNWZuuqp8suRcGkDgYk8G2WF9EeXHlGFTrO2QW51Sh6ZQpt81iwnlZjlf57IX2s2fo16EZoN5AgsO5/j6B8/ZdhNXZgRc8LnMbD09WozbqDlhLjlPPbwJ6XsbbrKXqd7Fp8CS1HD5SqtTcCa2/ERKPI1KwinJAVotTfgt7GHUhOn/rYS80twyAM1PGg4fONEWtvmYrupoNY2/0MjN0J8K68doyegvHYdigTMlB2hjgVCpPR+PyXcIbpfaxiuCB/u3viyUx55mygE0i1S2XhkWRwx7N0Sez5SGXSqN9AoUS+vx1KxocGhwX6hNi2wMxUYpa5vuOOO/D222/jlltuwUsvvQSHw4Fdu3bh4Ycfph7X5HHieS0x/Wlv3IO1zY/Q2XN5ahn6T+zBrDfPxDIbZ/Ghqb6Q9g2Z79oH3SUPR2QbSDBPegpLnJxSaiwgWbS6z/6JgqVXonL1dXDe/Al2LHoYqXMvoc/r2VOCaw83o+9TSJnrQBH60712cQIEu2VgKHBLEkFB28NPlLCuwKtykt2c6J0yZ86oxx2DnVg98BqKu/4HMRhsr6NaB7n1TyNSMH4/7fVVuMX5fcgk1Ull+dDfpASuIecKqp67Neky+hhRrlUcid2E2niQrNfs9y5Gyb8WwM/vC9GyRkl2ttClIr1y1OOMlhtkqT3xHVwfffPnNKtLJifGhQ+uQ/kcahenls/qYhtck0lYM8ud920DXB/4SPz9XHWBSVs45bp6ErkEBtO8kfbpkp7YSEEmAXrB7Ud9zYdGPdd8aCPtyx589krklMzDlrJvDT23vOt5GhQSju96B/2Pn4PMd2+kgTWBBOHGTvErKoyqAprZ99m53308PG4Xtv3ja+g4cZAKhh3TciJhjlbO0iwW2Fq5zG+bsmxUqxCh//BHWHPkB1AdiNx5XMBs7MZK87v0HEtoYgpQvPD8CV+fmM8JgxZ4W+Im4z7TIAmBFBM3znXMvmnM82R/cYATmHPZA5/kl5gmmesFCxbgkUceof3VP/4xp8r5gx/8AAqFAjfeeCPuv//+WG2ahMi4tv6FLndrVqFi5TUY7O9Ex95M5KIHRiSiYDYniEJmpYOZmQ4GlZYTaNKyTlhjdMJb2vh7aBgPjlSugD4hlfbMkt4oom588ub90OqTMXI6SVtxDjYqtFDnRV/xc7pCy659gN8ljl6DqY/r2zRBnH3Tq+B6RBl34HuhUNGg0o1W8FZouHVpWHF6HH18kBfRHn+VuJZ4VWfeAtfyq9HGktJZhg4cangRqIqb/4ptuy7kfF/t++D3+8cMRGOFqa8dOQwLDyuHOr0MaATU/ugE131zv4zu7sPILBsteCTXcUGp1hvfNmlFHe/QvvrtxrOA0rGVb3I9l6vUeoPXSNB7+ulSkTBxqXW0GJQlIZG1wWEiwlyjnQU0Fi7z50ka7d88HvLKC+De8V/IfHx1R4TpVBYhwzMAW8cR6ogh4Dr6zlBPfKZMhlkXfhUd7nsw+MxltA939tvnoO6qWmj2/wPVPi7QHom1+xhQOj+oa+5Ux3v6dY/DqE1A9STibse2vY6V7c/C3PYK+m/ZAntSFeDYDNVAA2KFvPcIXZoSK3GqDKLMwE0MaaMwSdax7x0IeyDJkirO+Sn0k3yXGflVtC1Oy7hxov0YMguqIr6Npxtkn8+8+11s3/s+yhddMO5rHIwaibDBE0R7mkRwxNSvZP369Vi3bh0OHz6Mnp4eaLVazJ49G6mp8S0mIhE4pBdynqWWlmsyyx+gBz4p121c9EOcPPEpFDWXoDQKtjlqHeeBTE7qphhY9RARoUy+vzrxlPJisi2CpcpIaHl8BErkZzIePjD0BxG8ToaDVxzul6VBDP1sjzYLbZZssHyQGQjUt5sZG1yrtEl0qWMdECMsEyYkIhlcM2puQkDlE0+skogqTUThvPXw7JAjnTGhrrtpjIJtrLDykzZ9TAqU/LlJrEmSqThVXVhAnZKPE7IimLQFE5bSxhoSMGX5e+jxkJA1fmCZmFuFLScvgzepFMGOJLQ3voxD/R3IS4uecvtEWOXJgLcDbvOwD7lAioOrPpBnDFdtTETR/HPRUb0fZVEq/7TqCgDTfsDEbSOhrWEXlva9QX83b/lFo8rWZZc9jsHXL6Kl1umvX4rGpb8Gdo4QN5VXo8ZXB29/cKXEpr+fCYPfQj27qbXYOARUEtvEuXwcSjsflUnpkGVWkd6TmJY2J1v5wD5jrEWkysB5SRv8kZ8kk3fuHmrtq77+d1O/XqFApywbxWwrLF2NUnAdRjVoTtmCMe0dpCKKVFeQcfZkLQHE3hUscaSRdK1mZHDt8/nw7rvvYuPGjTS4/sMf/oCXX34ZF1xwAYqLi2O5aRIi0d24E0WMG51IR0HNqqHHK0hvYRT6CwVGWgs5HWaaOY4mdhNnMWZjNZMGAxLhQfvTXQDL96uHi9vEWdiYFRmiBNdcX+HPMdadd+Jgol1ZiAGfeYwqsKCUrIMTdhGysiw/IeGRR27/lAnBtQhZ2vra/yAxfw6yimdP2ENKymt7mTRaJWPpbYmb4No5wAXXg4oMKDXDVTXRyS2OD7Wwm7NFlP08UlhMfUOTlMmZ45dEZxfPQXbxX0NaPwm24qUH0a5MBbyAzzpWmK0naT48FjWS8ka3iowHUQmOplKwN4EE14Da2j50Dkv65GtUvJNkN8tXXj3q9eSYbFz7BJQ7/gBLUg0qFl6ITU23Yk3PczguK0Zf6hlAbx3kpuagtiPL101b0Xr5qrVQyTdxAaSsZB1dJhXMBw4Cxd6T6LQYoz6WIN9ngecknagwkG05BU0iV3WR5DdH/HyiX/ZFbGyshqFoccD/Y1TlIs3ZB69dEtMKBeJaMuuDq+CBEvvSLoHK1Y+S25+nQmXmpy+A7Jp/TakU7yIT6D4irCo5Ms244NrtduOee+7Btm3bkJGRgcHBQTidTrz33nv4xz/+gaeffhrz588Pab1NTU2orBzbV9Tf34/e3l4UFRXRLLlE5HF2czOs3epi5MWwJFOpVNMSTCLiQPpMon1BdFq5ni4zYxj3oDv6xs+gGzgCxZpvI6+Cu1C11m2ny/SCWdDqueyWxOR4+cCQ8Yh00bBw/Y4OdWx6MEnAnP6lj+j9U0NetZ7LXBP7JJfTFrY3tTAh4ZNz/ViRQM4HkuGWQJNev9WHvgMcAppuPkBbLCaiT5kLeACfW5xSdDHw8ZM2VlUmkvjfTQsnnBEuXe84vh/23makFM9HWvb0m8A293LZ0H4kTeoBPRNwqVNBSlKYcVTPK2+MX6s5WXIB0AYkuLh9vLe9EbP9LfT6m3j14+NOhBXPXQuQG0/pZT/Cxo/TkLPkWvj3vAn0kn54boI6EIgCeQZjG7dS7FQRR+v/HqT3i+58cczz3c1HMYdtp9ueP+8c+lhWYQ126M+BK2cpShUqRBuTsROZjJ3qS2QUjp2m1Sdn0SWZWOh0uyI6sZJbsYjegiHzpufgUGtRJeJ5jgjpEaGukQJ6M5W2gx+hkPHByWqwvP91qkewdfsb8Jo6sdbXiH1vfgVJd7466XXETTLX5DokUoWfxFhiFu0888wzaGtrwyuvvILNmzcjJ4crw3rxxRdx3nnn4ac/DU399ne/+x2+973vjXqM9NoRT21Shv7Vr34Va9asoUG8ROSRDR6nS6uhJKZf90gRB7cj+n0mbhvXy2eXjR8ApfVsoX7fVtKnxpP82Tew6JNr0HF0c9S2c7rjVwrBtTiBVMLsC7Gx+Otgqy5FvDGyB9xpD9+DW5iQiKQ6vZCl1ZBS9zDoOc7ZorUyOZMG1oTsu9+G8v69UVHODRQFn4Vz6nKH9CDIxJ/HE9lck3nPC1ix5370fxIZ4chI4zByGX+jLH3KwTZRmw7Ghm2gpwWN/7oXR978BeIBn4ab0FM4uWvHdEGbzl3r07zcxGT/0c/oslFZNalt2EjIxMmsi7+JlMxCyPXc8a3xBF7mbOrj2nnsrBq6SSoRiCsNue7Os28f1/Ks/9C7dFmnmQdDYurQWKL09n+i5vz7x/VZjzSDHY102c2kjVsFp09Mg49lhio94vG6JeYEIjnWk/+9DuxzF1L9mpkOe4I7ng6lnIM6FdcWsHLPV7D22C/pfacqdcrv16rNoVaMTAwmh04XYpa5/vTTT2nAe6oVl06noyJny5cvh81mg16vD7jE/Pe//z2ee+452rc9EvIYCeDff/99ZGVl4a233sJ3vvMd+t75+eHb60hMjLLqItQeN0BVzPkbxhILYyBtJvBFeAA7Hj4bJy5ilydgvBw0EXmB9zD8g9yggGDgfa9VBkmDIFASltyGbcazkZotjid0fuUSgNxE4viud5G++9fo05Wj7LZnwloXyQCRNgM944RbBNVPYULCH0F1ek1iOhrk5bAq0xGO9rqnbR9dduqqMdW0XbyImI3EYG+iSza1HBptAjbP/hVkaj1KmMhuq9bCva8vefzyeOPjZyHD143OS19HZmF1RLeFBDODfW1ISM2hfYKB4OXPjxZVBibLUSX/ey1KYcGBC95BbllggpCmzmPUG7bNnA3gh4g1eWfdizrXbShMIdszehJAl5get+1FmSXzscP1JAwZJaChtLmNZn77UxZNahs2ESnFi7Fx8AEo0svA5WSnxmbksub9slRoJjn+DclcsK9ivHA6rDT72d/egIS0PNjNfdDyfsy2nJWIF/Kql+Og4T24bIMonqCv2cQYkAoL7KYeUSwpx+Pk/o/h7DmGtOozI36umIy23W+gFGaksmbsOrqVq4KYwRSaOGtOlJwFi/JCNO/6BZQs1yrjkOmgWX7vlOsou5VTko+cb4BEzIJrq9WKlJTxZxTVajWUSiV9TSDBtdFoxG233Qaz2YzVq1djYGB0Lwfp47722mtpYE24/PLL8eSTT+LNN9/EAw88INInOn2xmvpomfV4g9jShecC5BYHqO7fAze5OMXgvX0Obp90KcYv73brcgAbIOf71AgJrJX2VZ3aaysxMXQgHeBgOhb4PE6U+0/C5wgsmGg5vAl5G76CLtJWcfebY55vuuwdKNRapKblhr1taWu+jB09FyAlNXITjpkF1cC9G3izntDRGXmrkbTRKsrTBVPJZdjaVYCk4iV0MExUz6NBmovL/CozxxfCSvQNIhVmnDCTUuTIDJhtlgG07noTK4/8GJkMi4MXvoucQFWgrUQ5G3CqJ8+AWphEpLIWOOnnCAzXAHfuNcnTuKAwxiSmji+q5n3jbmR76rB93q85L+c4g7SnlI5QKa655hfocf0ABe7QBPtI4JZZOLoacSrc/G9plqfy9Wrjo9boqXo16Qe3DvZgYMMfsWrwLfrcDv16pDu5ChNd0djSZ5fDhuOf/I3MEmHWpd9BtCAicDnjqOSP5Mi8H4GRq5GXVRSx7fAf/A/WWj7EJlMLMgu5rGkgkIoS30c/gFemRtFdL4W9HZpWTnCO4Dz67qj2gplGb/sxzGI7+TaFc7ky+CXDVXVkVCE1EJ7mwXV5eTleeOGFMZlrwieffELLddLTA9MsJR7Z5557Lu688048/vjj2Lp169BzJEA/ceLEmGx2TU0NPv/8cxE+ycxmsK8dDnPfpIMf+4s3o1eVjqxrHz0tel5CIWvBJdiaUgAlX+J2KmxiPu0r0zo4T2OX044MhkwFgGYpJKIP8eFs3PwiLXPMq1wqisK8ki8B1vD2WlPhthiRjT5YPFx/9amImTHIyCunt+lAhovLwKqzx6rlnsrx3e8hZffvYNRXoPyWJxBLjF3NcDrsqFn/xZjsz7n+Tjphl5Q7vgWOVZYI+HvhtvZFTOXWtvNprCEBDFe5CktHfcDBdcVlP0LD4D3ImEDATsAmTwK87fAG8Tl8g1wgZdXkxEVwPVEvcbmnnvZZppQE1+saS0iZdzR75P1Grh3Nos2f9LckCYFBJgFZMMIx2DkUWBNcCQUw3PoUjnQ0oryiEi4uOThE8953sa75T9RO1OX+WlRF46aiak1kJ11I+XWlhdOEUZYO260FBOvHAvduam/JjXDCw6NKAfguo4K+jZjJGE9w7VAnFSVIkcbacU3Mgus77rgDN910E+27vuSSS2iAvGvXLrz66qv45z//ibvvvhty+eQXUIG8vDzaSz0eJItNAvVTs+TkbxJ0h4pCEX+lhgJyuWzUMlTaG/ej5N0roYYHh9a/iOI5q8ct7avw1EHl9eJg93EkJi8Z9dyJfR9Bk5iF7JI5Ube/iieyCsrpbSIUCVzBnMZnofuWmVfSJL1TCUkpkPFVAWL9tjOVntYG9Bz+BAp9KqrXXB/Wuvq727D60HfhZWUYmHVClGNerecmn7SsY8z6xvtt/S6uz9Al18f1OSeaeNwu5Pq7aHCWWjRryu+F9TpQ5WtEnU0Ws++Q/KZ1uz9B0X+/gN1lX0VuSc2o5xt3/Bduczdy51+AlMzIVA70tp9EFuOBm1UgM68c8nG+CweprHEDfseA6N8VmViY/cFVtLd8JH5jY8DvpVBoodFNLcTmJJ/DG9znUNq4UmK3Pi+ozx6pczKpCGt+91eQuy2ovp2bFDp5pBb5jA9dSEdOUXVctjwQGne+C9eJzdCUr0X5GReGvb7mw1vgsvShaMF6mm2eCsaQiTp5FTwZc6f8LY2yRGT5jbDXfTD02JbUa5C96naoVErkl82BzqCF1zy6f79y1VXo2/8zpGMQ2/e9i6pV1yAafP7qT8isAHJW3oq0nNho2bTX78ICmGFmdShduD6o48WQyquZw4ZeeKEIs+931m2PodX0U2Q/sxDFaENDz0lk5E7t/z4tx1Pdh+ii31CFjDDOz5+/9xfkH/8P2rLPw5xrQ9O3CpRju99H1tYfonPpj1C5/HJEi1j/tjGLdhYsWIBHHnmE9lf/+Mc/po/94Ac/gEKhwI033oj7779flPch6uGEUwN18rc3RPEDmYxBSkrk+hLFIjExvJni5DNWYOeOC7Cs/y149jyLlDXnj3mNqb+b9itRnP1o3PA0qs68AUkp6TAZe3HG5ju4p77bAc0IAaZYsO3Z7yGhcxu8Z3wJC86Nr3K6hBSu9FvNOui+Ze7iMpsWRo+0tETRf9uZyskdB7Cm/uc4qpyNlMvuDGtdgx3mIYX3jAxx7HlsfGsK8a7WT3AOGfnbKnjvY4/SMO45Z+drf4K/+wjSVtyMioXhlcPtefdJmunLX3I58kpHB39i0vSzuUjyD8Jx+8fILR4/gzoZrY3HaIBGxIrKq2dDNsUkbEIy99upWWdMz9snPv0dtIwbSj93jI8kY+evUOJvwuc5xSitCv47CYS2Q1w2r0Oeg+KM8SshTqhTaHCt8JhE/66a9x4cFVg3yQpR7G+BxtIk+ns1alIBJ6AM4nPonVzVkDqzNKTtEfucTCQ4V/e+QO87NaDXT1/LFvp3a9JiLEmLX9M0tvF9rOl7Dc29n6J3x29gzD8Xy28PvHT4VJQf3QoD40BrxWZk50zdCrLmpu8C+G5AjQ3tymRq35jby2U99+rXYNVXnwrg99VjR8Z6pPe+CtnxD5ByyW2IBnPaX0QKLDjuu2rC/bSr9Rja9n0MpSEZ88/+gujb0NDOaV6c1M7G/Kzg2tYSDIVU6Zy4XMj8tgnbQ4OBfA8H1j0OmUKNsqIi6AzBHb/TZTyVvvhybD+ogq50eVjnTIXXjBJ/M3rt7RG9JnrcLizZwo3DUrd/A4YLoz/ujtVvG9NUIlHvXrduHQ4fPkx9rok9FinfTk0Vr8dU6NkmNl8jIX8HKpZ2Kn4/C7M5fmxdToXM1JAdymx2wOfzh7eumiuAzW+hcrAW/f3mMTYa7SePgQzTzKweGRu+gxz0YW9qGUrmrUNX80n6HBFdIu1Wjhh76sl76zDHtR+b2usxMBDdbanf8iq89kFkzjoLGXljZ1U9ftWQRRHZtr6udpBuKQuTAHbEtor5285EPCz3PSp99rB/Y2NPNxXLsjF6MCLtLx6+A5CIkPX1mkZVc4z327qtXObaI9OO+3lUDe9ggWsXNtdXIb04cK/R8dDvfQLVvnps02VDlzK+h7AYJPhNSIEZrV1d0CYFn6Vl1GnYtvgR+Gz9mG2euo/Tw3Llmiq/M+rHvYC5vx1zbDtotj1hziVjtsMp0wB+onw7ELFtNLVxKsMDyhwkTfAegiaE19wr+nYokwqxOeNGrO79D70mtJZ8AcXHf4sEy4mA3+vwv/+PLrPP/tqkWTu3kps88FoC/xxJLi64hiE3qM8eqXMy61fTKgMyed1y/Di9bqR0c6W4rtyVMduXA8GdWgP0AUX+VrpfbzeWhbW9diYRBjjQ294CQ5q4XvUOeTLdH8t8J+nftrT5o7Z1st+XqbgQ6H0V5QO16Ok2Qhnh0nBSzVAATrxSm1I44Xd6bMvbWF33UxxULcTAQvGdLvztB+jSklQd0u8qY3Q0c93V2gIZKesWgcKFF9MlKd93BbhNgRy79VvfgL/xA6jnX4vSBZwdW6zIqlhJb4Rwjicvw41DGLctoueRz1/6AYSmATI5dmhnLfJ5q9lIE6nzMllnINnwmAbXJKtMrLg2bdpEPaiTkpKwdOlSXH/99fS+GGRmZkKj0aCzk79w8nR0dKCwMPQBpNcb/4EN2aHC3c68mrWwbtIimbFi75EdKKhePup5ax8nHGKUpcAuT0SOtw/2vhb6vlYjZ8UxyCRBFQffl+CBTPx8o/37Jex/ArO9n2Oz/DdIyRo7KMypXI6mokNUOZhsmy61EBvz7gWj1KNmnG0V47ediciU+qEsZbjfj8vKKbw7ZHpoRPquVZrhKgSraWBcG6mRvy3L+1CSfXe8z+Ph92mf0xL251WxXNmjTKWP6L7lIh6brAkumzmk91Frk1C+/Gp6P5D/J5+HoIUjZsdMS+0/UcT4cVRRjcyiuWO2wy3jZte99tC+k0BInXUONsk1UBjSJnwPL8lck+/MOSj6dpDPnVn0WzT0PACPy44EMtl6HMjxtcHl9gZU4ryg97/cIM1216Tb5yce0WSA4xoI6HOQFqYMfy+d/NClFYf02SNxTu5jUpGLHpi6m6HWp6Dc20i3Mb3mrLg+/6dWnwk0DFuauVKrw9peqzwR8HXDMdg75Xq8bhdYsFT4KxASLvgZBlNzsHfzv1FZ92doipaN+x7j/b4Fc89G39ZkWhq+ZesbqFx9HSJJX/tx6rJA+ryVam6sMB6arGqgDshyN4u+n5BjJcdykPsja+y5LBCcTCKSWBtsAfyeU2kCpb50HkyyZBi+tCnkNomJjt2B3nYs2Pl/0JB2mg3vojV3JxJTs9DTUgfmf1+FseoWVK69KW7bMyaC5cdJCp89oueRxAVXY+ORBCxtfpxWbZm2P4fskoWIJrEaK8dsjzCZTLj66qvx85//HE1NTTQA7u7uxl/+8hdcfPHF9DExIL2qxNaLWHEJEIuvPXv2YOXK+LFXiEdVwhPP3oaGD/6EBg0nOmet5/z1RuIxcwG0RZEKC7GTosIwnCKt28IptVrkyTPSAzkYtH6uxFihG3+Wloih6BNShjKZ6bllmHXFD1Fz8dejup3THYWWC151YfooE3wOLrh2ycQrmyKiPt1IRRuTDXcA6rnCvuqbwHvay9tmibFPa/zc9ijUkS2ddpLgmmy7Kzp+80oN50Wr5Uvsow0ZjBa2ckrvfaXj92V6ZLpRkymRICOvEtVn34HypZdN/KKkQpyQFcGrndw7PByIdzFRjU/Pr6bloSSDZRnkVMAng6gzk8CakJA2vpK2gLpgMbYkXwFPYWCtEmRwPHDXARy66H9IiyNRv0EFJ2bpGmxHx+cbqZBZO7KQliNu9jYS+9oJGZe8IOe7nKXhlSY7FFyyxWebWqCu5fONyHyiEp1PXBLQusl3Sc7L1efcDc9d21E4J/D2GmIhV5fCZTNZvmQ/krhM3HEyIJu8ujO9iBN6JEJtNotR3G1w2qilqI1VI2fO+pDWYZUljRojhop9oBtpMCHZP4DmQxtw9IPH0NawG2LRVfs4DawJKsaHshcWo37zS5C/dz9meY9g9eHvo+7NyPYsCzRuex0Nm1+G2Tg6URgKMhV3TVT5RusIRMK9Zdal38G+xb+nf1cYPxnXT34mErPM9d/+9je4XC5qh1VdPdwZ09vbS/2vf/jDH+Jf//qXKO913333UfE0YsW1cOFCPPXUUygoKMCFF4YvtDFTGWg+gFW2T9DoOInOwiuBph1I7h578fBbuJO9XZUOtzaLs5OycQG3j1dqtSuSEbmhWuAI/r0yT/TL6fSSZ3VUMPD2NSmsGd1uV1gKrn4nF/y55NyFSCxk9x8E2apAtsyvTkIzkwfWMNrrVkAIukl5V7howF1oFZrI9nLSLK2fy7aHwtGP/g6ZNhn588+lFoBToeYV2unMudcbVWFFt8uBthe/jGVsG+0RL1l9w7iv8ym0Q1U1sYSqmK//IiLRcd90cAO0SVk0eCVBiVqrx47E8+FVJSE7gAGXZYC7rpBSaR0vDDgRpYvOA8gtCNRaA7JL4svazarKBLxH4DO1I2vZDdjYz022zkJ8QzN5N7yFnSf3IbtyOVL04RkEufi+aNinDhRdPZyauk8WmN3hSELxDvenVsBuVINhRwv1RQIPH4za5MmTWi6R82IvUpCBAfS3HIZ+dpCK3lNYrQ2e/0fs+fw91KSEpqtvU6XDbNeDDXNS2GnpoUszkwj/vuew1vYxal33A5VnQAwUjj4qaFqnmo05Hk5MTKlPhf/Sv6H+v/eiyteAnG6SdIp8gJ164DHatrXZ80sknnVrWOuS8RPoKn9kg2uBwoUXwLZHA7M8BTB2Ijk9Foa4p0lwvXPnTipgNjKwJmRkZODhhx/GsmXLqG91YmJwJ+WcnBxUnSIIM3/+fDz33HNUhXzfvn2YO3cu7rnnHiqeJjE+vr4GuhzQFCK55hyg6WFUuQ+j12GjgyIBhmUxCAPcmgywWm6gq3RxGT/YueDaJVJPTdjwmWu5L/qZ60Tes5qU9k1Uytb00lcg99qR+4XHYeprh8s2gKTMElqGJBHg95yaDTcrp7PMpv728DI8Lq7awKsUN7gOBlK9APxwwmCH5YMymTf8fVpHMrsMoOKD0UjhJqXsRMnZFXyWlsx6L6r/Pc1gHsx9N7DgWpdAbV8c0MLtskM7gdd8JGg5+DEKrdyg7GDlA6hKSBm3RM0rTJJEcOKv7tNnINen0lJWMkCOJuR3m197O+0fPnLFhiHLt/Jbnwx4HXY+u21kkiGfZmWYoeLSZVObIbmtE8mZBUi++JuYLiQkZyBhYXATHBPhJmX+5BLqnDq4lg1wLjBWQ3SUtCvWfwnW8+5DZRT2Sb+NC66dAYypupSFyPAMwNZZB4gYXBOyi2fTW6jk3fo8XAplQIJzk+GxcfsDaUn0KrlzGiNiRVTFzX9D80APDAoFtr75PfjUqaheeC59ruOc3wMfXoZ0P9E8j/z5s8DbTK/PiUULwl6fMIFOBHQjxYm978M90IbUitXUMrTnlu1ITjp9bGVjGl0SAbPx0Ol0tExcUPoOBpKhHo9FixbRm0RgKExcWb4zsQTFxXNQm30HVIXLUCQfvcvUXP59ePB9VPn9qPvkH/QxtZcLrmX8hVDo44ubPhMRApFgs1cka0bQT+BZLVMosMz0P6qg2WA1YbD2UawafAObMm9F4rWhq6yebhDBvT4mjfYpWnpbwgquE6rXo1ZlgCqjAvGKn9+nww2uvV7PcPlbhINrj5zbZjaE4HqgtxWZjINmE9LzqwLORrnvrweRYoy2bmj5kkuBJZfihLEDy6uqJhSPEapqItWyQnxplx15iE461RVtjnpwTcq+MxkvLQNPzgjNasxl5oJrszwZKQF4elsHe+C0mZFZMPV+0rDpBciaPoO/ZH3E+2aDwW/IocJgasfUZfMzGb9muId+Kgw2TpiMTQnMjilcSBVGtJA5+unSrZ66FtCsLwEGD4Dp5xIl4XJi74dwH98AZclqlJ1xUVx8Z34HJ/jplCfAp+YmTWVublJcLBL57HzFLZwdnkBSNmcJSJTbW+2WiJ5T7bZBZDJcW1OqCC0hKl0SepAKqzw5ctfEgy9gje0TbLTci8zCH8JwGgXWMQ2uzznnHJqhfuKJJ8aIlz355JMoLy9Hevrp9WPEEyo3n33WZdASr5qrfz7p68lrSFaEoPFyM4eKyvNR25wMdfFoEbRYQUphyKA82tjM3CQDGVhqE5InDAodUEMPJzxOCxQe7gLh18RHv/p0onnxT9CiVCG7hNMKCBUq3neKgJ8Y1L/wdWQN7kHfwm+iPEzfRyJ4R1CE2TvlcgzP9kc68HIaCtHoLKWl3cEy0PI5XbbLcqALULAoHpjKu1o//2ps6pwFQ96ciLy/2diBbMZHz3/J6RNvS+eJg0h+/244ZTqk3LtBvPfv4XQ4jEzSKKEpj9tJRY18fh/S+MHqRHj5ElDSZjRVcN3X3ojZb6+nfaH2BzgLsklp2YIV5vewqYNcw+InuC5YdSvqFl0JlXUQdZ88iaSSJcgpnY/TDUPFmdgoU0CdN/Vnz3Bx+5o6sxIzjYILv4eDvTchXTt1NZU3sQAYJBMzXDtFuLgbP8KavhewhQSvYQbXYsHy1WUeRQJYPrhWeCKnWzESUjVlYbVIYBwY6DqJnNLwxhuTYe5t45asnravhEseUeyuOIgMRI4UZzNdKtJHH4dOuwUyuYLqHMxkYhZcq9VqNDQ04Oyzz8aZZ55Jy7mtVisOHDiAI0eO0Czzt771raHXf+9735OC7Wj+Pj7uBMVoAldtTytdgk2Oh6BKKaQ91mWLLwTILU6oPOsOGM+6E0VRLil0WrjyeDOjH2NlNhIHo6HBtdthhdrLzcgyIQQgpzvhBqyRRmdvRYX/BDpNnNL+ZDQ/fQNSXc3oW/4QSsYpscxbcSMO1pyDlDBnhVVqHXaseBo+lwXlysjayVRf+yu6DGXPJv2UhD51ESJnFiZeKV+gKrKRmsgRMPdwA51eJm3SdihGJkch2wGzV0dbXMXCMcAH1/L0UYHxia2vUFGgz5VzgXv+N+k62KGS2KmzdhoDN9GrZ1wwB6C9oHdwg1c2mRggxldpNZIzcOTtX2Nd66PY1bIOKP03TjcKZ68GyC2AKrFstoeWz6bkR68zvfmp65Hg6YH34r9Rsb5IQURPyS0QMhZdie3Zs6FPF2ef1lm5akZfcvgVAZ0nDsD/yU/glWtQdOeLIa+HGWrdSgCj5saqSj65Ey5H3/sTslreQnfh5ai5iLMAPJVeeQYS/C2w9Tej2W6CvfFTVFz8vbC0XsbDbuTOT0ZZKiIrNyoOfr8Ped5Wznoyd/h4aHz+SzjD9AF2zf8VKteMrz8yU4hZcL1t2zYqMEYgPtfkJlBSUoKBAeL3OVwCFEqJuEToqP1c+aKcV18mHNv1X3hPbETued8ZKpVpeeo6qHw2sOt/SWfU07LvjtuvfbLANpIkZhRi6+K/gPV6MNlcuoNaFA3C67QgkQ+u5ROoi0tEnpbDm+HzOJFWNG9ofxcDDy+QxrqnHgSkuFpR6m9Bj5cr2T4V0o8vRk8+ySZSEahp0q5iNwQ3YDz23N1IsZ+E/cz/N8ZOMFK0H9uL4o9uwUn1LJTc+wZiidPYQpdGRSYm25M1Ou58TzrUnUFMDkyFt5/rgzWrckYF13IdNyDW8JO5k1F50bfROHhbQOKYOv3wpLDdZkIiEQabhBQ3p8CrTo9On26waAbq6NKRHFgrxOlKf3sj8hgWVlaL5CkU5cUkz1mPHPRhj8jK3OEqtpObWKS4O+hSmRF+cM36fFjg3o0BJITVr8xqUjh3g4S8obGqkBgKF4WxDlW+RnTz2kHj0X3G92FNK4RBpsDcd8+nj9XW5nLCkCLiMXHnJ7MibVoE1z0tR5HFuOBgVcgsHJ7k8iu0VHdDcfx/gBRcRwai2C0Rv2j54FqpHR6kFO38Ce1l3dVyERJTzqaPlToP0Z6T/eOovTYd/AxKXTIyC2sC9pyciZCZ5orlV075OjejAVhiUWRFio/rrdKkhNafeDpDvC87979LGk1Rc/59Ia9Hu/ln1G5js+W3SFxzo2jb5+VLuQMRXtHwap7yCCt4Txe0di7bzyYFl7dOsx9Dpe8YtvJWNtHA1lVPz41d/ETZZBA/1d6GLZCrDWH3M46HYI9oVWdPHlwbuHoCOcNSyx2xWgQUA8fo0p44emCu4CtztP6pe81JNoiIegX0fio1LQknmWun1Tjp5BjJsuT4u7ksS1b82HAJ1L3yINZYP6b3Fdmhi0hNZ4gNW9fxvWB9HhTP58Ye4yGTK7FTfxZYRo7SKFaoORkdd+12itvveyp1L30brFKHvDPvi7rQaaKfO49pEsd3rggGTSI3RZbA2mAMYxJv1iWkuvVbVD3/2M63RVXA1jv4yrLkwkk1NUiF0uATw/ukofkDAOIG134LF1zb1eIUcpNt7v/H+fS7Ym54g6uQERFT0z66bFaUIG1EpZR23jXAhlcx37oJXZaBgKswpiMxyVz7fJxlgVw+nEk8ePAg9u7di7y8PFoqPvI5iejjv/Uj1FmMyEkZPpHaZAmAv4f2BAsiOWm8CrYuiRu8NO54Cz5bP4qXX8urw/pw9MqN1Lc51vR3noDtve/BJ1Oh5A5xbN7ExCVYFNkGkc4OcIO99Hgvfo0/Bjsasbb+Z9RfFWEE1xrePk0RRGtEIPh59XFZAL1hGnAiJireq/lU+rua0LP5KbAKNa8sHvqx0bP/HciT8lC58mpEkvra/6Dk0MNoSVgYlFr0yAyjMm3y/txTcfPe2n5X9Kyu/H2NdGnSFWGq4Whv43as2v8N1MmrItLPKHNw2Re3ZvL2AbVGDx/L0ODaYTOLFlwn2zmRKVna6EyamrfUMsAKsWvTrIweerjgsvH6IRMw0NOKLMYLDytHSlZ8lYUTanq4oIGQIoJS8HRkoOsEzth4A1X9d8/nWkPGI6uoBrj9ecTk2u0jwXXkzi9kvLWi9yVqM1bvuXPK15sHetC+63V6v+a8e8MOxpJYCx2TaEUQptIauKCKfBaxJvHSSxdjs/thqBMyQmo5OpVUD9errpniWtP8+UYs8XGTh4Ri52GyK4hKxpLrsDm9AuokcaoxyGRGsec4Fdo9YjOJHlz7+7hKG6OhYlSlUUHNSnRvSEUWY0Rv0yHo5wbuKT/diHpw/dJLL+G3v/0tXn/9dRQVcRcyImpGxM0EiBc1ETUzGGJngXO6ozMk09tIXMRCx0/8f7nZWZvFSNWtCQn8CXferm9Rm5w9OTUoYLhTTEJKfFhJ+TxuLHZupSVj0XH34+g6eQiDJ3dBk1GO4klOJg5FErUoYnuP0u+VDPaS0sKfJT7dSC3gypCyYESzdXDMfhwoOj6bppzAPi1U/CpuICEPILjW8vZYSt3450LHYA/Wdj9DlT+JZVeoDDQfwtoTv0WDvByIcHDNel3IQzf6XMFnkc3nPootPceQXb4sqP/zyDWc/Zc7OmI3BI2JG3C5EqcuNVZouGoGdYR8RxW8PaJfkzLloMsGLRJh54LSDHH8SI2z78Kmzv1ILV867iDbwNrRP0UGq+7Fb4KBH+nrvhKQC4CdMQCsER775MG1uYv7nbplGVBHUfk5UPrlmUj3cZ8hLTs+y9YjjVLwqmedok/CiIGbD679fA9wJDAPdCOb+HezDBLTcqd8vaW/HWsbfwEjEuELM7gmrRWZ/HjOkBx+i5RGa6DiiiS4tluMogTXxDs5efX1EANSzZLl76XXXkPm5Oca1u9DM5MHizwVc7yHkMRa0ef3idqGKHaJv6Dxo4UbHqf410S1lauU8iaMnqwk53diEZflMcLRXQ9IwbU47N+/Hz/5yU9w8cUXIyWFu6iePHkSjzzyCCoqKmiAzbIs9b9+9NFHqYiZRPzgJhY6HhJcc5lru4lTbyWKiYKAg5lJgAEO2Im3IgnAWbUo6oZiXqB1cMIuYj/hVAwc+Rhrmx7GzuYzJz2ZJF3xCJpUGuR6vdi4ORmM24aaGPWJT2dICWgn0mkPXOfRzShbcklI69GzNs73me8LFQ1e1VTptU6ZqdAxnKyUegJ7rOFBp4PPcYeGjw86hQxvJJHxWXh1CH7zuRWLAHILEi+ZGCREMXOdZz9Kl+r8qbdXoea+E02EfEc1S+/B5s61SCqYO+Vr7YyOBtdChZIYVNFB79iBr5b3KaeZcrt50omwef3vIAk2HHTcHtB7Osn1ygt47JOX5bsGuPLPfmUOpg5Zoo/tzF9iy57nwZSfh4rTxN/7VDT8eY5UwhGF+YnazMiEPzlXRtMei+Ah5xcPUa+O3PnF2i8o7icH9Pk0vO6AnnUg3JDfbubEBEkPrRjjOTL2sjB62jbDVZaEVjHS+cQlSPL2om/dw5zonUgM9rbRahYyATBVNUtKbhWaM9cjZ+292NnZCE1COuIjnTQ5DmrCZaYaP2KTdP5D2N52PdKyx7bZWPSFwOB+MMYAXBymMVHNXL/22mu45ZZbaPAs8Pbbb8Pr9eLBBx9EVRUn1vHLX/4St912G77zne9AdppeTGKJ1dSHrre+B686GdXX/35CISanWVDBToTqlNJx1shlA0zEegXxgTA7SrLCbpc9akE/6+EuuD4FP8CfgKQRs9GzLv1OxLdrJtNsWIgc60fwnNwEhBBck5lrotw+sg9VLOTaFBiJkIt88kDWNWJGWT1CWHAkKq1+aMLIEcaEkZ/3nPZMsU1iQPqKI5mlHQ/huxaOxWj0/Vegm9rvZVdNLaAmTJKQNoBwBH4mIr96KUBuAdCtKoTNG51zI7FjcbNyGjQ5LMYJg2uX044McL9dQlpg2fSenHNgtFRBN4VacvVZt6F12VXQWSfPcMeKSCvJTwdGXquJlc9EwfXgS3dirnMPts7+GarPuiNq2ydM3kXy/OIc4ATFBuRpU1rRETT8pLCa8VAV9XCsj1IyinDo4g/gtptEc2mwkeCatcBlndq7fCIyPG10Ep2MRMlnPLntVVqdVL3+S2ElT8xdXODXzWRANcVEBtGBSL7m/w3djwTHtr8Fn9OM9Oo1U1oWBopLpqGVqJHIXKfllE5YXeRNKqUWcVpefX6mEtXg+ujRo/j+978/6rHNmzcjOTkZy5cPXzxIkM0wDIxGo2S/FQOsA11YYXkfZjOxY/n9hEJMbisnumWVJ9GiVIJdkQhSt6Uzc+qwlhHPxRo1H4gQnHZz1IJrWYDBtYR4uLOXAMc+QqKJyx4Gi8MyONTyIJSuikXVmbfAd+YtmEqFwOt2oYXJhYp1TzgwUvFBGcn8kcHFyH08GFi3bTgDE2GUvDibhg0uc91atx3Whs+gKVg8ri3ZZPgU+lHHYqTpPb4bFURxXpZH/VCnQsln83WsM+wsU7jkfpHr8R1/Oid4Ohr3wjHYifTShaMmEAlkALwr5VKwMgWyJxG9tBi5Xns3qwjo+yTMuux7QU28RtrfXSJ0SGUc+e2J0rDbYaH2ZBNpMpBzoTIhurlDryoRJhs5xzCRew8zdwxYFQEG1yMU8502c1jBNfn+s4vFFdOzywwwe/Xwe0OvudLxDX6kuszrcVFbP0LbmltDvhYSfF4X2phs9CnzIE5jTHik7P8zqn312KL8g2jBNRXQJZ+Vn1iPFrrCM7Cjfz1cOcG1dk03ohpc22w2JCUNH/DE15pYcJ177rljMtRE0EwQPpOILm4bN5NoY3SjdpBThZhYn4taKdgUKUMBtIv0DbtBvXkJdkVy3ATXpAdGUJB12S0IyNNFBBgPF0Swiskvbh3H98O27XEsGPwIxy9+E1lFs6NWuj7TUKVy8+sJXm4CKFgcvAgSGdCpNbGZFKFqsPftDKhckuAi/ughDiiYKE4AKfksPBkYBdM/aa3/FGvb/oodxnOAIINr0uduZnVgmegcTwqVFgdUi2DVFU1qv3fqJAnJMpFJFbF9Uus/ew6MWouC+edDqxcrbA4My57nsbr/FWw6fh2SvvCHMc9X3vTolOuw81m7flISK50TT0vsjAYqInxHgusJ2mgE1ffEHHH7U6ei8sY/03NZRJ21rZzAllMT2MSBXKGAjdVAzzjhtA1GXV18KpLv+RQumQxTqycEoEmiTYB6hOiny2EOK7guW3whsPjCoAPr+k3/gb+nHknzLudamERCw+u/KCaoYAtPJ0Dc4Nps7ET7hr8DiXnjWpIVzzsTILcZTlSD69TUVHR0dKC8nKvD3759Ow2gV61aNep13d3dGBwcHOrLloguNr5ful+RM6p3JHnpLdjetw4pWVzOrWrNjfCuuRH5I2y4PKokwA4U+NrpSc+liq/fkIg4EAXZSKp6norcy72Xn8/8T4TL0oeVpnfo9zb73YvQcVddWBeI0xlNCndZTPEbQyqz1eqTUVv8TbB+d2QHTGFCBlCkD46ofrrooDO0ARTp7yf4olAWruIrRoIVJ1JY2ujSZQjenq7mml/AhV+gBuFDBvEN7/4OcmsrUs/65rhOCDSzHsQEwMisKZkkETO4Jkq/Sw//mGb96kpqox5cq5xc+5BfH/rg3snre5jlwxO5U0EmKexW4jssmzCw8Ho96Hv6clh0xci/8tdR/24kAscBDZJhhWeC4HqwtwXZJLPNypGaJU52L55Q2LljwKsLXFCMJEhIe5PbEV49zIm9H8J1YiMUBUtRsexyiEG4iQPSe0/aSYRJZnIttLNqqlPCXQuj53MuYKh/GQtcu1GblC9qcK3lq7wUI6xxw8WhSkWfh7ThiDvhbGxvxNrOJ9HRmQmI7Pc9nYhqcL1s2TI8/fTTQyXg//znP6FQKKj11kgee+wxqhiuUgmdvBLRRNbzOV0OJlaPGqpnF88ByG2Sk6RPzQXTTfIidGafA3lWfIUmTkYLn98MLx9MRAOFjytdYqYIrg0Zw91MJEMjBdahk55fhV1rnoc+LQ+hmEzok9JQc/HXEal+XNfrd0PG+pDxpQ9FU/2cKKMTCIyX20eJh2qkIT3spOTOKdNCH0SWVuvkyiKRGFvv94a3f0EHD4STb+6H9+7Pwg6GlUo1asu+C0alR0kY5ZvjQaxuSGBN0CVObaNz9N0/orj5BTRlXYiaq38a9vtr3STABWSG8YMCMpngsAxApUuYsOfaZ+sbdlQIkMb//QFr2x7D9oTzkHjr0+O+pq+tHnM9B2EfrIdF+5eA1y0RfRpLbkej14Gs9PH7Wk2dDXTZJcuCdoS37kwh78rf4FDvA8jh7esCwUEEKtmpRf2mggTWa7v/iS0uEyBScB0upPdeQGjxI9dC0szosUe31FnApUgGXABrD61ibiKIYCkVVxUxc116+3Nk10A1xMVt4VxALPKJq1bJxCex/ySClvFWUSEWUT0DETGzV199FWvWrKFl4KSn+s477xzqq37vvfeo6NnWrVvxzDPPRHPTJEaQZjlCl2zm2EB6KhLmXIZNKSXQ581GTTyKsNxZi36VBoVRLC1UCKrI6smD6/ScYWXFDAyA0+eUCAVSyl0876y4/PJkMgXmeA7R+11eL51xH4+T+z9G2raH0KuvQtmtT024vuZz/4lWuRLpYVh1JC6/E1u6ViMxi3QKRxbaM3vfbgQbjho8XJCmSIydPR0RupvV+erQ3yVsC7Yf+hQJmSXwup3ILVsAl8MGq6k3qN44MkFZc8FXIrLNNlPvUIsDscCZCiLKVMh2oMPGVQqEi8HLtRlN1Afb85/bsci5HbXlD6JmIl96B/fbu5RBiAuquWoApWfiSScrL1zUKc9BouTMENfUXPR/kz7vHuRaBwYVmVQHOZoc3/UudPv+BlNS9SgR2Ejbo05F57KH0On3IbN4fljvLXdxx7BvCiu/YKjf+DwSGl7GYNaqoPQRBITJZBerHJrcdIL0EZvgDlOk6+QzNyPJ1Y7BZQ+idOG5Af+fhySXbIDMGbpI23iVR8SBh6DRxX9ljc/CVViMbBc9lc7nb+LO+aXfQeKFX8VMJKrBNSnzfvnll/HUU0+htbUVK1eupAG3wB//+Ee43W5qzTVS4EwievR1HEeVp47OkqVVrxv1nLG7Gd373wGj0lElzvoXvo4kSwNsC+9D2ZKLg1aljQWx6J/1Lv0qNvW3IG0Kb14ywN6adClWmv6LjXn3xnU58kxnsKcVg52N0KXkIrNQ3LldzYjSU6fNRLPk4+G29KDM3wSXY/J9Nr9ySdjblFM6n97imUQ/N2BRJwUfXDcd3ADVjodh1RWi8qbHQt6Gge5mVGMQVlaLw4ZVWGb7GL66d+DY34dFjq3YXPE9Gvyv3Ps17FctRt4X30KscVi4LIqZMQRUislouSGRyi2OenYSy/1u2gl+Nw+xzBrhQjEeFRd8Aw2mWwMSchKQ8SWUat/EA22Plc+yKNJEE3CTiA1+B7efuZQiWycGgNdmxDzPfnxuii+dINo7LAJD5wKNeAo6fksX5rv3YWd/aL+X3+/FSaYQfpl86Ngl1VBEAdsXpr1UlqMRRWw7drBscNukSR41GSEGTod1SFxVbOeSiGDjJnOd6olFjWz6IsC5HbLBk5ipRL12Jjs7e5QV10iee+45ZGZmUjEzidjQV1eLQqjRpChHZt5ojzpTRz3WHvsVVTDGWXcgZ3AXHfxv9Y/tam05shUKpQZpBdUxE4SKF4LJoJZc9ydsP3AJKuevj+g2nQ40bH4Z/s590M2+FIWzVgb1v53738Haxv+HvZrlwF3DmUoxIKqtZLadiFc57RMH137eM9UtO72PH2H2PoU10Uk/fXLwZWReuwlL3PvQ4Atv0EXsRU7ICtGVMB+KudfCtmkTktd+Bbb+Nsi2bMGsY39Fk5bzkrbpgrNlaTm8CS5zDzIqliM5XTyN2iFXByYBgSg4yPTc/qj1hldKKvQ0p7FW7ndLHT+4HnKh4L3Wx4NkplIygvtO5DpuIKqZJLhmrVyWxamKF9lNiYkgZaQ2YwcSMgqRkjnWEEqVVo4dvWfDlSler2ugyHgxLVWE7AXJ+a/hpW9QUdSii74fdW0AjYcLrmU68VRgZQnc+UDv5lo+giWDVGrdt3WsSBcJrsP0G0/1G+k5S5cSZN82PzGpFmlikkDE6Ag+loFaI54GT91nzyCt4QX0Zq3FrCt+KNp65Q7u9/RpJt5X2JRSoB/Q22auHVdcNabk5ERfgEBiNNVn3wH72XcgY4RImYDawJXvG1gLvH4/cnyd9ASUkFU+qpei+cBHWL7zXvr3njNfROHs1XHzNZN+Ql33DrhrrkPFiqsQb5BBpFAFIBEeqsa3sMS+ERt1GUCQwbVgTTWVF3Wo2Bgt1PDQzPWEBLgNgkKpYfaFnCduCDRsfQ1+lxmZs85GatbkvsBi0PrUNch0NaH7rL+gsGbFlK+3mvuRyYvXJKQGf52Q84MSMby13Vf8C2VZRdR9oCNnAzIzC+DJKoZxSwLSYUK6YzN9nWbRTUGtN2HTj7DYdwxb8Wckp4t3bvLYuJJquzyw4Fpl4AZFBn/4wbXd3Ic2WQ7y/J0wJI3fc+0fskkTt09SqeWCa71/4vXKHdzEg0czdS+6RGwxffAQltk+RW3R15ByybfHPF++/HKA3GKAXG0Q7fwyHsRmcbWRm+Rt8n8n4P9rObwZtvbPoc+fF/QE80h0Pk4QTcGfG8RAlcxNliX5Qguux8O06GvY7DQjo2JZWL3cGQz3OyakB6fvIUw+aL3iBdfECnTz/IfBuu2oFrGd0W/twSzvEewwjbZHDBe1izun+sm4awI0mRXAMSDD3YqZSlwF1xLxw3jlg5pE7sSRxFpxrLcVmYyLzqaljVDL9fl9Q4E1QZscu/7I8VD1HcQZjs2o7Y1eCWz95peob3v+/POC7pmSCB2XJpMq18usvBBWCNZU3gj5PtsZHVJZMzz2iS/CLJ/J805hj6VteBOLnVtRq88AQgyuMw7+BZUksNOlRiW4TnJ3I5/tQqs1sIGVVpeIPWe/QjO7FSEIfin4zJKGCMOE0SOozSxHbsUZNLAmJGdy2WmlSoMjc3+EhQd/RMXltqZdg8qqZSFao4grtui3cyWKTkVg2S5NIjcoSmAt8IT53ompOTiadwUGu7ciZwJtAVYlWDxO/LmPvv4TyFwmJC67Ezml8wJ6b00CFzAnshZyGhgXlYtXMtdJwXW8M2QTGEUx0kAhVlDhnl8mg1hLjWe/OBXOAy9j7cDr2GS6JegJ5pEk+Ln3VyWIF1zrU7mgLs1vhMXvF8V2tGzJJWGvw9zXTpfEtlU3wis8EJR8AkqYjBAD4iRRtfp6iI0gsCvnxUzFQuvhrjdyMh6ZgOQ8rtUu29+DHreTXj9nGlJwLREw+iTuYJEzLPqO70YVsU1jMkYdGKQEXLBDICSkZMXpBXqi4Zb4zNv/IyQydnye/5EUXEcRvz4TMAIqR2/I3uT+CKlnOxgdp+I6iUWKoODtmyLAFyYAiBBVqAgZF4Um8IFbOLiC7I0jFR2BZLgnQsl/LmL/xZ2ZgsM80IPVn3+f3m8tOgqFQjnmNVVrb8TAksvR63Whioi2BYlQ/u+fpDw6FNJmrcdmVQIUfNA8FVpeUTyRtaFnEsG9qTJt1mcugl2RgryrHoMh+bsTvlYIrhXeic/JRV3v0x7InaaLyBk1oG1I5Evric9vv808bimt4OQgI+cKibhGuHYLE5+nYrMMQK3Wie4RH43zy1Rw1lKgY6tgjke/kp+4CuOcQkrSk1kzVyY9QfVJKCTxWWFiI9llMcKQlB50tVX+/t+iLWkxKm/6q2jbZTNyQo5GWSo0QQb8WRVnYKf8OWiTsgKqEoolxJmCoOQ9tMWCveCP2NHfiqzC2RO+Jjk9f8iDva+tIeAJ0+mEFFxLjOLoaz9BovEA7HNvQ8XyK0c9NzJwVjT+lz7WqSnHqd1PRlkKdGzXGP/WeMAvXKB57+lIQy5MOjjpfZXkWR1VGL6nS+cOPrgWsmhCyarY2BXJMLoTgHH0Coa3IbAAf2jQGcaEkZBxUfLljZHGTSYEvCRLGx3LFDV/HiLHojOELImp+wRd9iF50nMasc9ThzisohUKxMZF5MxcZkEVvQWKITEdXUiHVZ4AhcMCfULwCsGWgW5U+xrh8coxkJw16ffN8Kreqkl6oxNYIXMWuLEeCaZ36NfDo0pCvnf8HHzBXa+i3eVAacBrlYgVrNA+MMEkjP0/16PYe4SW0EYi0xfJ88tUCNZSxGoqGFgVt11yb3jn2cbLP4Dd2I68NPFKiIl9FhGGNDAOWAe6gw6ufZZuOuHW7xzWtmg/tg/WjiPQZZaF3CLlNnGVbmZ5GtUeD9YJo2T+aGvhcOltPwbjsW1QpxaheO5a0dYr491rVPwEo1hkFdUA5DYJ5PhoV+TTajlLR50UXEvMfBIGDmGBezdqzReM+7yZSaA+gsusH9O/bUVjhbea5nwDjsOPoyPnvLhTvGYjVAozEW63EwqG619XBVHOJRE+qiQuc5XoDb6nSy7Yp03hTR4quV98m1QAYzLjK1ahQS9S4J/C/sSnDH/CiGRcSGZCKG+MNIJCNAIsgSZiX9bjW6DJX4DSReOfmyZDOPbIsUiOyWBFFp0DnM2PUZ4elGJ1MAgVCBNl5qIFzfzdvx/haC47BjmhsEEmccpAQ5tVje0d58GVOgt5E9ifpQqiaAH4dI+k9PZnAxIYlJgGqLjjQz5BcK3jxQoVInoBB4pal0hb5OzQhHR+mQrBWopYTamC2jBuslQZxrWBHL90ci6ICbpAMTGJ8EEGTyjq3vx50jOissuy5z9Y0/cCNqVdH3KLFBgZWpkcmLX5iId6lv66DVhT9xB1n4CIwfWQTkCEWhmmorPwSnQ5+pCcK/5+FQ9ImWuJUQi2JbIJLlA2Gcm29aEbadTYPm/xFeOWR2LtjYjL7mK+FGaiC7TYuOyWkHqlJMJHzfeHGVgrqUAOCqFEleX3l1hQfe2vAPxqygkqIaMj5zPd06G6YkikLUARK1vDZ1jX8QS2DV4AhBBck2OPDH4dZPDrtAU9+PWauWyGVZEWseBaqFAQWhLE4vju9+BzWakK+Xgqy5HAaeEsrsyy5Cktrmg2ZpJBo81sRBZvRaNPDjxzLTHD4Cc6hVL+U9GTCRhy3ufV7qMJ0YTov6+ZBqKRKEoX2mecMl1QwTWj5o4+lS/++tQJii/vhFsmR3C+Cjx8hc9Qqx9Nnkw+ARMIVWtvAtbehNFeOYFz9P2/APY+5J15HxJTw2+LZPnf3iNyFZ3QAqb2c9d+MbAM9qLt08cAQzZqzhvWXhqPWRd9DTMZKbiWGIWa779QaMYfEvUv/xF6fV5klJ0Bh0KBxBB6C+PjAh2l4JrvlXKwqpB6FyVCR8WX6ulZO4KdF3dVXYXanllIKIlfz3YBdoqMTjxWV/j4XsDJ7JdGIuN9Q73q0EJbcuwJg9+QPqGVa3NxEpG8CDGsmi3uQDhl9+9Q5WvEFuaRqAXXXgvXimGTJ4XtH23js+AWVhu08A3JepMSdUamQGLK2N+u5anr4JOrkXnlnya0xJOIDxg+0zZRcK1j7bS6QRVlmyqC2GXgpyJYS1GtiiCQDwVQoZ9Tmg5+Bmf9h5Dnn4GKFVdDTARhyFAQKnxGB9fRTZ6MR/XxfyATRuztuVCU4FqYgPYqxG3ZIiKfpM3TI1MGVw0xCYNdx7G280n0IBWYIrie6UijfYlRaPngWqkbvyiwZOF50/obk/HiOUqR+0wmwi0E10H2SkmET3JGIVWYJgFjsJr1lauui+hPUPfp00g59gr6c87ErEsnFnsKBIafrQ91wigW1RV+XSbajVnw8z2BU6Hkg2tWkxqTAbDCzmVivbrIBdf6mvOxUZ8JXe4cUdebylvdaFMD94mue/GbKDbWoqnmAVSfdVvQ7+m3ccG1IwD/aFI54XbZ4bSbkTROT6fTzK3LzCQGPQg89sL/YdXgG9iUeSsSr/3lGNE1orJPaJIxQa5ZItokFMxHrfF2MGnD7iQjJ1H0vIgqKdGeaRQuuhCH8meBYYILRoUSeU0YolX2E1uwrud5bHf0ACIH1+Eg9N4LlVsjRbommoCJBnZGD7DGSZ1AgkGYgPaJ3KKWV74QtgeOiyq85jQJFUtJU7YVedxO9Hccpy0BofbHxzNScC0xCj242UClNpyOu/ilZOW1aF12JbJE7omaCC/fK+WAVrTZQYnAIFmucBSmI4nf3IE5nkPYNjBxwHPi2duQ4OqEY/WPUDh7zYSvy1l0BXbnL4AuRGV+IiyzZf4f4Pc4UB2l6oqayx8E8GDAmgwqD++5rI1UUfbkaF28KJ4hctaC9Dee5HcOBa/bhSx2kGb0EjMCz1orXUYUsJ04aeZsaYJFZue+L49m6mxwf9dJ1LyxDi5WCfMDJ8c877FxvqlWeSLJhwSFjy+LlbnN4/rZCqillp24J69iMb2Nh8sxnJnVxCi4bvj3AzDYm8Ge+dCE2xkqREQxuzj4Sbe0onnYbP4NFQIsCfG9lVZOb8KjyYjIJHPSsdcxmHcOai7+elD/O5SdHiH4yQwlT0KfTOj++4VQsQ7Yz3k4pN/RITdQsU6vXRw7LpnHMkr5PZ7xWrgqI6sidcrguvPYXiz+7Dp0k7N69UHMNKTgWmJUBkFPxA0YQDND/ZijLV6TnFOGTTU/ByNXUOsyielBa912yORKpBfUiC5OM7IXTjmJimuWvR7FbBt2uiefhSdey4LfcigQhevK1ZHN1IeL1ssNVOT60DPXdS9+AwmW4/Ct/l7Qky6uhfegtmstUipWYzph6m9HDsPCzSqCskX0Krn9k3GFNkBk/D7qE+tPnNozXcg0qhkPnQw41UqpZMllaChfDr8n+N5Alj/OFPwAdSQufvBLWnbGs1aTmD4IEyV+loFKHZ2J81PJMh9Auf8ktg2QCSlxg+tQIa0QiaSHOIwxYYF5F73P5Ihvl8SaWjHPsx9bjcGrkJNzVCfSAd3wNUHGtw6oeGvJUCjyHEMC48AhRWjpEBcR6/SSPnlxMtcKvvxdUH6Pa/iKJWcAFUsJvBVbGjuIvhAtH+OZmfVpJMKClMm5oIQCLmj0MzO4jjakzDHp7DtivRmnLUfeewSMvQc5a+8NKgAt+uQupMGE/ee9JXoWgsDwvXCqSYJrDVHwHtE3dzqj93OBkNIQnFr0SDIGD6DaV48tA5yPaTCULb4QALlFDqupD70n9oKRK1E87yxR1mnpbaHLXiYNqiD6G/18BijU/u+qG/4Im/9hVExggXWqGJSAw25Ggmp0howEvikZgZe0j4TRcNcxFT85MxKpZWd6wZWRHoPX7UR+5RmjnpPJGOzUnQkZ60NRhPufJ8JN+qH9xF5QfPGwxh1vwdu6E6qilShbcjGiRW9bA2aznXRyrmAh8ZgXGd4JQ+3m2n6CoerGR+hypOmTQsPbS4WogE0maTIY7n8T0kM757gVCdRSEU6+2ipMlLwYnWBZKCatT14Ntc8GzbXPIDE1J+z1yRyBVywlpOZQkVGi92Ie6A75HB+vSMG1xKgMlv2B4zB7PdCEITQRzwz0tsP4vx/T+2W3PhXrzZGIMBUn/4lc9GB3zwVBBddD1lSayJRiyXnBQEFAcNxtAHeRV02xDab+DrRv/RcgU2DWxd8IeluM3c3oPbIRyuQclC48F9Gg6cCnSN76Uwxq8lF8x7+nfH0i73Os4RXgQx78+sjgN3ZiN5PR3bAdy3fei+OyEmDeJlHW6RrkyroHFenB2crwJYjyMFSGSY/7qVno8SCvcbJKaBgPnDYTEkRUBJdpueBaM46HtkfQw5BadqYFA93NmPvuBbQiwl55fOwk9h3/Qixxy7iMuV9kn3q6zpMbsLb/FWzye4Egg+uGTS/A5zSjdPVNtAUoGEzth+myWV6I5AhUMzIarnhYJZLAbErBXNQafwyFISMk4crelsNUudyIBOpZHQpeElwTQqz6ORXPoi+htv88pJSvgthUOA/SLP3nlkFRgmulk2vh8WunngQnk6ZWRock2OC09ANScC0x05nJJXI+jxPLLR9w/X1ReL+eljoMth2GIaMEuRWLovCOEiNx8tkEryPwX9vn9UI3JI6TENHgWjOJimug3tPWgW6sa/kzjCCeocEH133Hd2L1kQdxVF4NRCm49nldqPAfx0nH1JlNwrGzn4Xb0ouCnLFiRoFC/VA9ABugQrmAzWJE+/4PoEnNn7T3PR59R30mLri2qYMUYhOUmaPkuW1ntNDAA884fYpH3n0YcnMrtPOvQ+GslUGtV6njMmPacYLrYXsjSQ9jOiCci4lwmdXvC0tpOhJ45ZxoaSQy1zLenk+wmgqGhQd+SK9nR2adhYy8yqD+12vkKl9M6tyIWKuKUcY9EpL9TFl/T8j/b2v/nC47lMUIVefbx5dvy9wheHePQyQnvB2MFglwDE00hovWbaRLmT6wCVI7uODaE8T4bLogZa4lTisEqyHa3+f1RHwioe/AW1jX8hfs0K8HKp6N6HtJjMVFsgkkuHYFHlC5eBG6SIrjqPi2C2ofM0EJpIrxcdswRXAt7NMa1sXLEQaHn/9u3IL3dBRQ8qXumgk+/6mIIUznJcE1GaAGmVnqbzmMVQe/zfX3zd6PSCFMomhYBzhX5/BJX3A5NifmQJmYHZLtUSj+uF0nD0H9wVcwqM5HSYDZRDujQyprhnucQVZ620eY7f0cm3tJe0ZwwbVKlzzKA3k8eyNa0SAR94w8FxMBM+0Iyy1yLY91YsDLW0IJFlFiIjhBCFZTwU5c6eCCyxZ8mTJj5SbnHLrIlOwKZdzqEILr9ievgMZrgXP976nydTiQ3nKHzYw1dQ/Rv0368pCD69QVd2CX8XykZxYj3nESFxsW8AQxPpoM+YW/x47eFmTnjyzWnxgHn/yQgmuJGU3Lka2Qb/0tLIlVqL7uN5iJENXNkR7Uigj7dDNu+xgvRokoB9fk4ukKfGbWzYvj+CIojqPSJsLDyuFj5Bgv/zJayXjyUj5B6ZhkJ8whCIOwfJDhjWKQoeQtYnRwwB2l9/QptCENfp2DnXRpkqchkk7IQgsCqVgQq3A9s6CK3oJFYUhHJzLgVAWvzu4Y7MRc3zE0OwIfMDsZLR3kecc5ThN9XKmhKjn4Ab4+LQ879OfArUlH9SnPERG/jqWXQe+J1h4oEQ7kXEwEy2QMS8+PI4PrE9tepRNgh5TzkH3PezH5on385B34LLOYKHhlbMFqKhhsjB7p7CA89uCD66prf4tG49eDtrIMFEUY1Tr5rkakw4R9fm4SWphkadr7P/hcVpSvuC6ga+Hu//4djo56MCllEPwU2NwlCJXMgmqA3ESiYesrkCnUKJh7dtBl/VPh4oNrL1/FEy7ks9PPHyAumZ5Lfoj0/vGElLmWGMLR34TVrt04MhCfPYlioFSqaVCjZHzU3zfUvppAYbzcQN4XQjmXBMTLVgaTuXZwr7VDE5Y38mRk5FVg4L6TkE+wfq/bgT4kQQHflH2rI0vXSdZdF2RvHMsHm8J3FQ1U2uFAcqrQpq/jOHp2vwJ5agmqVl8f8nsKE1xMkINfv5PLpjrlCadN2Wv5kkuBJZeGZN/jtnHiRHZ5IgLdozrT16DPXg5NQtaYjFKa30jbI/SpuaGVid7+z0nt+shNIv4h52JyTjaMU8Yq9Dn7mNgZXvqVehr8M/7AWl2CQcVrc8h4ocFgcJIJZh9pjQohcy2TITlEYa9Aq3XIJDaY4H3mhbYp4VpC8Hk9WLHrPnq/acEFAY3vVIdfwnzHfuwrewa7170A27GNqF4XusK62Cza+11oGTeO5m8UPbiOpAhfIPQWX4Fe63Ik5cw8L53TJrj+yle+Ard79DDuuuuuwznnnBOzbYo3/PzsEbUSmKGQi4UDGihhG1KLjSQyfsaZVczc7zSe8QjfexDiIkNCR4yWXLsjwlRBe0pmIdj7D5MW4SlRqTR0gCInlkt2S9DBdSyqKzQ6XsiG8VGXgsks8gaa92Nd66Oo76gAwgiuhX5FxhdcplIYeHgjXDY/WdlrqNR/9hwYhRJ5dKAZHY9wv53ru3PIA9/+6mt/Oe7jdpsJmbz+QRJv3SJx+uJguODafUqmK1rH6GSUX/UL9Ml+heoITMgKPckydfDjCJod9BGNgfjra80unov++5qhCPI78/t90PLTskJbFL2v0sDLyqgCtdthDSi4znaepMkWRqZA0Zw1ALmFQX/nCXTvfYN6btec+6Ww1kWsCUlgPdKyUEw85Hjxksmp8MvCiTZJy4ePAIYs1JzPTXBMRc3592OmcloE152dnfjwww/xm9/8BklJw9bm5eXlMd2uuIMPQDyK+DerD/cCnUhEFEb01kYKoZyLVUmZ61jgJZYQFkDm5Ab8gaBLyUJtzt1EYWqUzUe8Z3SIMImQdY/36gr1iMDRaTNPGlx7bUKwNnzuDoWKy3+MbtlDqAoyIyyUkQs9lbEoew2VhYd/Bj3jxOGihVELruHgMtduVXi/F8Fp5dfFykPO2ricdrjsJugMqaOqQOo+ewaq5s/gKT4XVWfeEva2SkSvR9R7ysR4tI7RyYhkv7fQk6wIwb3CRTzrPWTSK3i7q4Z/c8FPxnkPRsQqKdTKMLfTTs+Tp05KCtfCRJBjfurkiWWgF4Xgri8ZxXMhBuauY1jX9Ec0M3lAmME1sSYcz7JQLIjIJ3FqgM8b9roGu5uxtuspqrTuCzC4nsmcFsF1Q0MDdDodLr/8cjAhlJ+cNvCls94ZHlwPXaCjEFzLvdxFkZHKwmNC6oo7scd8KbKzSwP/n6wipF7FCZtEkuPP3QW9swuyCx5GZmF1zFQ/5Z7oV1eQgWgX0uGDHF4P5+c9EayDG/y4lEmxGfzyA/ehnsoIQQaGm4oeACNXo0gb/m9Bsh4ksCZogmx/sZn64XrhGjqo1927NahBMOPkBvHeIIJrUv5NKhjIiXlkEE2yT4IoU6ion1qGfAxg37lvjvJHZroOYpntU2zqCd+CRiI6nMy/Ck0uC1JT82JyjMYKy8XPYo9tAJkFwU/3OrU5pMcJcktr0P+7aOB/NHN6xP11xBNOPugkk5EqjW6c5IkdngD6ePtaj9A+626kijb5qOD1RIgwZbgQa0KCg1UFZGsYLEW3/QsWmUyUJILT1EWXZiYZgV69rKY+WPrbafVBWk7gY7TpwGkRXDc2NqKkpEQKrKdA5uFOWD7e43Sm4v3C22hWqVEUIZulkSj5XilSIiQRfTgxp/js5ymw7EceurHb3EsKY0c9d3L/x9Dv+B0GEmeh6oY/TrmuptV/QjMjQ1YIQirqRTdjU+diJBTMQzSR37+firlNFfbJrZygmFsbpJ2UyDY4/ihMkM269LuirctuHRy6rwty4EgGcsW+Rnq/xWENKosud3MDQr868PaE+le+gzV9L2JT+g2ovv53Q48LKrLEi1oRdrZzdFmsnK/YCEWBWSI21Fz2/ZgfoxPRcngT2B2PwaEvGLUPi0FWUejhj37BtdjctQBJxQtDLknW6MOvQpmIpmdugsprgf6qx6lfeSAILX0OqMdoUwyJIwaQPPHYuXOkRZaMJJGdMHSsA5NPG0+Nmxehs4UxuTgZYmrKeMw9dGlRpAQcXLd+9AjWdj+DLcmXI+2mxzCTOG2Ca1IO/uijj+LYsWPIy8vDjTfeSJcSw8j52V+W9+mbqSSmhmqyEDy2eXdjo7EZqaVLo/aeEuFh6u+AzdgFbXJWRErhxnhwjzPD7h7owFLvYRyyBHaKLpl/dsjbQb2Dg/QPjiY6G5dxYZOKwlpPa912+Lb9GU5tNqq/8IeA/08950rUtpVAm78A0wmHhcv4W1lt0Fl7UqIu9C46bYPBlagzCphZHaAJPKAXqiaEa5BAbtUyNGZsg9frJkZoITGsRD56sC0fatmRguvpjiwOJkpc5l6sdGxGvbsC8URB9XKA3OKsJFmgyrYbiYwNhyzGgINrv9eDbqTBKdOMEU10kesq7TGfWqTLx0+4uUSseBDK1HVwwuH3hxXACgrvDkaHeJdd9NtIkgBwKAOvkhLOvYoI2NfFmtMmuG5tbcW6deuwfv16/O9//8Mll1yCl156CZWVlSGtU6GIjIqwGMjlslHLgP/PzwnHMJrEuP5804maVVfGxW97umI1G9H06T8AtwVzrvtFQP/TufMlrDnxMHbp1iHjiy9EbNsEpU6i1k2Ot1G/LT9YJIIjp/uxmOrmvFY1mWVhfRekd3upvRbHncVBrad84ZkAuUXhuO04fgAOcy/SCmcjOS28cmUP3/tsYfTQBP29kd5FLdWmIBmgYL6vmtsfJ2NbzA3BV1vh444FAYVCDU1ueJMqbjJwJseZe/TnUPLewXJNQlj7lXROjh6kR9Zm6qFtDiOPD19aDfa5+qDIqBD9fBno76viK+FIK4WY2+BxO1H/xs8BlR5VF38TygiUB4+HlxdAIyXJGp024ho4PvfoY38y8ivmA187BNVE11Ufua5Ofd4ShLzccr1ov5k+iavYIQKjPo8DGn3oySofb03oZHQwRGAcUFf7IjRHX4I1cynmXDl+VUigyNzmoXYgRYDbKtNwExFKX3DXmOlwXj4tgutvfvObKCgoQGEh52JHAmuSuf7973+PJ554Iuj1yWQMUlLif7Y7MTG4E+LSb70Or8eN5SwbtRN4LNj15qNgm7ZAPf8qzD/rWkxHgv1tT1f87gGsaX6E3vfofx3Qfq0gFh/8rGokj/NWIr7jBZRwjXof8tsK2+BXGQLahoMbXoO94wgy5p6LsrnBZSkO1b5FBwFF89YhJSN6/afbH7sbacZ9cKx5EPPOvHrc1/h9Pmj93dRyJa9ibli/R2Ja2lAvXKzO31Mdt50ffBtneD7H3mV/Qkn5HWG9V5ufm6BxyAzICeHzdjE6OuhVMM6If1/qhOQhyyGx36uFHGceMtgZfZx18j2R2sRkUd5TOidHnsZ/3o2lg+9hW8kDKLnt/w09vua2H0f8vaf6fRNThfOLuMfLYJ8Fa7qeofd9aT8NyLv5VI4f3IqeXa8hd9VNKKpeFND/DLRzyRYbo0N6BI//Zn6SWcm4Rfnempbci52WPhQtWDfl+spWXIp9KRlQJWSI9pslJ2mHhCmVMnLOCd0lvHjecuxy/YwGoRUR+A0YWycWOndgz0D4Yx0ly+0vMk1gYxaCNillaEIqUteYWJ2XT4vgetWqVWMeW7FiBV599dWQ1uf3szCb49cLmszUkB3KbHbA5/OHthJb+OqB8Yr3xBasML+HTccLMLDgooi+V+OO/0KmUCFv1ipoRPAoFOW3PZ1QDJeztTe3ICl96rIzH18O55FpMTAQuXIlD+kFJcGPeZC+z8jf1mPjt4HRBLQNrp3/xHL7RmzyAqn5wame6jf8CKX+Zuz0/gMVSy9GtNCYm1DhO4bNXc0TfkZiudJ58VuwdDeiPCE7rN/Dw6qGBr/BrOfkwQ3we1zIKF2IxJTMiB63NOtC+qXNA2Hve+Z+rgfOLk8IaV0OftBr6u+N6HEw8lgg5YEj3+v4ng/gOvJfIPcMzDrn9pDW7eb7FV38cSag5MvCPaw6rM8nnZOjh0emGTpHR3qfDPb39fi51gstHKJuW29XD5L5DLLTQgIYLogJBtN7P8UK53ZsqgUSswLTIBno7R4Sy4zkd+3ij33LgFGU9yleMlwtONX69CmFWHh+Ff1txfyMSt6Pvbe7G3JtqA0tgNqQg/Kz7qb3I/EbCOdd2Snn3XCsfAMdsxC8DFeOr/SF//7ROi+TdQaSDZ/xwbXVasW3vvUtfPnLX8b8+fOHHu/r60N6eug7vdcb/4EN2aGmw3ZGmyE/X5ct4t/PnG1fhY5x4Uj6BmTkiWf9Jv22gcLAxqqhZ1ywWQahTw5gFpn3ffYrdBHdPwRPVr/LOup96IWAL1fzBrgNE60rENR+LksuUxmier4gNiAEn9MyyfsyyCqZR2+EcLZPzvd3aVknbEGsx1D7Y1T6jmGr4y/QLb8yosct9R2lA5Xwz01p5Suw2f8ryLVJIa2LlCIS3DZTUP/f+/fzaBBkuPrvSEwNrBJCpuImwdS+0Z/b3rwba42vY7ub7CO3IhS8fD83KQsfuW41n7mWqRNE2e+lc3Lk8Qs+1h77qN+MqM2LKc4Uyu87fH5xwSTiedRuGRwqn/aFuF5rwTlA43ZkdG8KeF93W81D5wFNBK8LQhk3ERwMdNsat72G1AN/RW/qGai+7jdxd+zWr/gzZAo1ctMKgl5vf1cTDEkZUIvgGDEVgosNaZEJ9/Mnn/l/2Nl7FdIyCgNeFzn3ErT+yI3FY3VenvHBtcFgQE9PDx577DH89a9/hUKhQH19Pd5++21897viKbPOBI49dzfkPicM5z0kaiAYb7B8cC3jMxeRwuf10sCaoNbObJG4eIbMvOvhGlIYnQpBRdgfYXEcGjizMjB+z5jnhH0zUHssMhEwUjU3GEimJVQP1XAQJgQEj9pIIxyD5Jg0e70Bl1cKHrNyvi84knj5CQcSCIYLsTYJx97EpspAp6MPYAL3BXc5bJjlPULvNykDby2S87+Nhj1l/3XzFkth+Bd7shZhh88FecbojJ38ro04brcgXwQ/cYnoIAiWCWJ0AvbHVyHL343P1zyJ4jDEHcNBzQtZqRgv7ZNWqsSRoBJUr4li/ng9xoGQOfd8oPH/ocLbgBZTHwxJUyeWihddgGMVO6l4WCRxy7hj289PageCZ7Ad1b56WK0ZY57raa2HuasButQC5JZNLkJ5Yt/HgKMXurz5SM8Lzw5zJGWLLwz5f+3vfBOFzv3YO+/n0GWWwmXuQUrBnIhYVcn4a5qKv8aFQ0ZeJb0Fg5I/72tZB9GcnFHM+OCaQHqrv/rVr+K8885DdnY2Dh8+jGuvvRbXXXddrDctrqixbEYyrDjkDv9Ai2cEu45IB9euEVYQ6ijYfklMHFyDHQzYA1rhE7zJIxtcl13/Zxhlj6Jm3IwLQ8sAodIFFVwzIezTJJNLepqJ12Q0ESz/mEkCyYatr8DbUw9D1TkorFkR1vupef9R4djUGQKziiJl5CMHApEknEkSsSm6kxPzC2a4ZLf00yWZNNLpA7fi0qfmYo9mJVVyrxxHBdofhj1kzXn3AiC30ajUWnqTmD4I6sKnBtdER4HYRsmUsdNUHunP7nJYRQyuueuWS6YJObgmgVkTk49itKH9wIeoWntjQHZ8gap3hzvJSnqUWW/g5e4MP+lGJqhPxbj9WazpeR6bU64Gyji9lYnw734KS0g7Vf83RQ2uw6HUdZhOAKuTc+HZ/lessH2K2s77kHb5g6K/lzBhLEwgR5uEtDxsTr0Wfk2KKF7b8cRpEVyXlpbirbfeoqrhRqMRZWVlyMqKnh3TdICUVelJmRwZZEfQdiEeEDynhSAqUrjt3EXRxzJQiXShlUBo5a0ssd0INLjmB27qyAbXk2VOK296FCTkrPb7wxp0BlJdIXiZRru6QqgMIP1eE6FseBurbJ+hlniZhhlck0CKHItExZUcm4EG11r+vKiMQmY/nEmSU2k68Cnc5m6klC4OOqMQKnYzF1ybGX1QZbqZxJ/9rpfHPC7sG5IXtcTICU9B6V1AwzsKR+MYnQgSTLfcfoSW8xpO8V4OBx9vIeditAjnDN2WsgLFxlcgb94AYOrgOlrk3/Qk+hQqzAqmrJ8/L/jGsdASritCBdpkkF5fAqMWd8x7ct+HcHR8joSylZwVWhDe4hn0yg8s2XQznKySXnugiYzPuDBhLEwgh0PdJ0+BdVmQufCygLPsZPIm6YY/YiZyWgTXBLlcjurq+JiZikfcLgeUDDFQATT6yBzIcYPgrXfKBVpsyOw1wQ5NxPvBJCb5HUjZmR/wBVhqaym+CJv6y2DI5/p8Y0mg+81E5ZJBVVeIILgXFMI2T3IcJjo7uNekFIvyXbbdfghqjQHJAZaEk0lH4ldKiEZmP9RJkvFg9vwDqxybUGv5VtSCa7eVC64tTOIY/9lQUIjkRU3KdIkThuDXTcrX21+6n5abl1z3R5qlk4h/ZPyEp/KUTJtuqPomdsE1ISg/+ADxu7gA0C30m4eIonw9sPMVVJs3wRFA2TqpGsLJjUDRWlSujlyVZygZ/uGKFv2EEzCBJE+IxoNgxycm7MH/YJ31Y9T6XEF5jFtMfRipUqFhuJJ8mY5T1RYbYTJKAS8ZIoVFXsNTKPW3YHtWVURK2Kcbp01wLTE5Tt6snqCZ4SXMwgVaFeHMtVCGTMqSyeSjRGzwnv0L7PG4kBdggFGz/ouIBif2vg/5vmdgT65EzdU/D2tdjGr8jE5Q1RXRLpHVJGEQBvhlEwc2mT4uuNZliaMBEWi2WsDtdkLB+KPW2qEtXYONYKDKDX9iR+XlflsmxKzH0Y//gcxjL6Inax1qrgzM6shjMw7ZfwUbXJOJDPJ9E7s8GZ/5G8os8dVGoWZU1tT9BPtVi5H3xbe47bMNYpntY1qO2qd4NOR1S0QXfU4NNrdfDV9KGbJGTJyQPueRfc8zibxFl2BPVgUUAbYITUTRwvPQszOVBlJN+z6A5tBzsJVchOpz7hr39f7WnVgz+CY2ycn5Ob5aKGVebuzG8i1+o1AHnjzR+Hmve624CSWPiguGGQd3PgwUxyCn0H4qSn0qIkFmYQ06v3hclMlFjT+06pGBnha4bCak5pbPqDYdKbiWoLh46x8rqx0a2MxUihZfivrKVTBEOEPv4cu5nIwGM+eUMf3Iq1iMeMRt6sQa5xYc7B9bvnbs+XugcfUBax9EfuUZAQnWbEvOhS45L6htUOuTUFv1E9LYN0Hvd+SoOf9+eM6/HxUTPG+zDKAYXICYkhMbgUUXP/lA0Izo2Y4UxfPOBMhNBDR+7vwj1wU3oTCEvY+KBg2aCwP+F7+TVxiWBx8MG/5aQXsN667ejLTs4lEToILwTigw44j2CJNKUlXR9IKeC085HwoVYjGpvjmFo6/+AFrLSShWfSOg83YgJCRn0Fu4KBRKdF74PNLzq+Df/joWuXYAdTtwqGw5sotnj3m9fKglQ4walIlp3P4GVEdehj1zEWou+XZA/yNU9ozXLkJcLwJNnmj8tojoaZAeYoLCPZy0CgSnhbNPPBWVLjLBNRnry1TijPc1CE34M/2V85EKCw5c8M6UAnTTCSm4lqC47Jzdg43RYqYXMJPMfDSy84lZpagt+RYVpZppYg0zma6mz6FQaZGcnh/RctHJlDoLLHuRz3ZhFy9mMxUkGBECkmDLGKOVqQ+Wgc5jIJ/IiAToE8Qpizv6+k+gNR2DfMVXAuqFU2l02FjybdoDXRNgKXm8oPdx+44y1JJCQZsiiBJ11u+DmdXDrQx+IsLDkO/XBfeIKir1NU/jkMWI/DCElRR8JmukaI+bP66IvZHE9MZl5yZ03KxCNBGxUMnq24oqXyO29l8NQJzgWkxySjk72srVX4D74PehYnxIfu92sPfuGNOCNBTAhlE1EgheYzNWOjZhV2/g9X2sTAkLqx23omWodSCAPuKI6QxpuXOuyj0Q1L95zL10KdiHDm1nagAWojFmuDUjuLG1g9Y4WeDmj+OZwvQaLUhEDMHuwcloRemVk+ADnov+T/oqYkzToVo4Tm6BKmcuypZcMuXri9+5EgmMA59f8hGyiiI3LSLM8Kp4v92RCAIjCpF7waYTjv5WuuyXZSLE3OsY0nq3Y7b3MDb3XhxQLxyZhJt10dcQLZx2C/ra6uj9/MolYa3LwAvjqA2hBdeCyI+KL80OhJpzvwTXuV9CSQjvZ4cOSbDB4zCPFrwJU7FYOM6EEtCRLTukqkgKr6cPRIDRPNANj9OKzALOWo2RybFfdQYd2AdXtxM5z2biUy8Wx3b9F+7Ow9CXrkLRnDWirJME0o2Xf4DZb69HAduJ/ScOIK984ajXCGXVkXbNQAgtTWW3PkWVMMa7OgvXzKkUsDk9De416iCcDQJBpk+jS603uMy1KiUPO/TnwK3Lxprefw89npQeuT37+HN3QuU2IeGKPyM5xPchx6XQHx6sMKpT0MThq55mClJwLUEpWbAenXNOAiJeFOIV80APOt//FfUXJqrMEjMbR8MnWNv1FLaaLwOmCK5HClhFusRQ6E0SepXGt8cKbBuspj607nwNYFneeigwBnta0XdiL9TJWUGpmopBd/NRsB98Ex6ZFgV3vzbmea+NE8eyKZJFC649RBTIOywSFG90NuzA0i23o5nJAyp3hLwev98HA/GMZgCtIbSSQjm/f6pHBKWRxEECE/9w4CsWKr6cnyhK+0+xNyJOAlJwPX0w9bej6tVVcLNymB5opo+lZhUBX3wT8QA5lxH8kzggBAtb/y7Wmd5BLekzFim4FhT6D6gWYr57H8z1G8YE10Kwy0TYNWMo0yySBk5KTgVqi74GRp+JySSMWbDYufB3ULB2FIlQdj8SpZ7zEdf7gguuS4hHO+/Tbnv0NegZJ3boz0ZpBFs1qyzbkAILDpr7Qg6unSPO2cFqkzj54NorBdcSMxXSk6MIUvBnOuL3uLDa+AoVcer3/zliSt59Hcdh6TkJfVrB0Cy7RPRheSGYQKw5iGo+sWoiqCLcOiDMsJNeJU6nfzgw0oIrCQu0xMo60IW1DT+nJbmuIILr7vpNWH3wOzismA1Uf4Bo4vd5MM9zkIqacXPeoylcdg32Fy2CTC7eHLCXH/yC90mdCrOxG33NB6FNyhwqqYwkCmHCZZxqhmBw2ExD+7E2IdTgOnFUX2KkcRHLPJIFGaFgX/fStwGZEgXnfRP6JC4bFCxKnWFowkr4JH5eD4NmGiWmDcLAnZQzEyGzWJeBnwr1XXYBbIDnl3D7i8PFlLYI6NwHVf/nY54T2pVkIttUTVjBNc4kcygkZxYgOYDebdJvXLPuBqSk6DEwYIPXG65e9jCaBC64TmAto67twbA/5UIovBaoVjyASOKk04uWsCY13fz/ellZ0LazbmKnRia8A2yBmy5ImWuJ0w4haKJ+ty4H9aWMBD07X8C69sexLeECZN76ZETeQ2JqhL4sQXl4MlwjSlKJZVMkEQJn0qs08rLidtgh4wMjTYC9YMK6tHDC6fcHPGEkZHBpRjfKCFl5HevAePP7pM9an7BY/MEvGagGaMvWdXQjVu3/Bo7Kq4F7P0akUfITLiQQHO64Cx6FUoPNs35JM2g1IZ7fhj1QHUEJOiUNHIRt7p2oWH5l8IMsUlLrMg9NMq3pe4HeP+YNfYAplCkSsTSz10v95YeC6xjs9xKhM7LklLRQxF1wzfsuMyJmrocyyBHofZalVwKdQJKdqwIYiVBWrdBENnOt4INrdRDnmeanrqd2bIrzf4vMwviz2E3Nq8DWRY9AlZCJoiD+z2bqpxVzROul8qa/IBqQVlCwgJc/J4aCLjEdO1Y+A7/HgfIgk1UeuT6oa/J0QQquJSgNm16A8vh7cOavjVuBI7EYGTSRYCpSwbXMw10U/fyAXiI2yFQJAZedufgZWDurpoPwSCIExEp44fV6oFBw4mlOXtiD2AQRQa1gMjrEq97jcQVuacFnWDz8oDCaaHRJQ1koMskVDRsOH/85hWMzWh6zgSL8jrogJ0nGrEejQ9VZt4a3LfpkmFkdHDIdAj1DJg4epmWmtVZOmCekQZbgsjBSqT0MwSGNPhl7NcvpPp7nddPjumLd7Ti++Aokhu3uKhHt6jonq6T9nTRblpyB+o3PY+Ghh3BUtwRFd74Y0x9EuNYzAZ5fAkG4bgl2i2KSUrIYW9qugi9zLrhc6zC+61/FYZsZuRHs9yUohibxAs9clzsPIBlWHPS6xzxHJuVaDm+Bz2mh9mNknxkPs7ET3Yc/RVJWAXJniePQMFKro2IFEbULDtuLN6LYexhb5v0OlWtuQDRw8ToB3jBaQsn1pnThuSH9r1fB7deMS8pcS8xA/F2HsNT2GbZ0z/yycDK4IsETyWS4HJEreSQKwwQpuI4tMn4yRRVA76jHbo2ainBCUjra7qynQaViRBDlcdnpANIHecC2eKdmdAINVIXZYiHjEk3U+uGAyWkzj9nmox8/AVi6kDTvMtEsOvy8rYxwbAb6/XhIX1gUECZciLc28Xwmg5ZYQXoyXQ80BBxYE9R8dYgsBG9te/o87O31QJ5cMEoFmvNgD/17IPtVwV2vjnqMZIYSUwWnZInphJ2K0PHBNV/iT5SVZf7xmkuii3B+kYmYuRauW4IGgtjHeOaNfx73OSokGKaYYCCohqp1HLzaSTDK1GO/E9bPYkntjfT+8bI9Ex7nfU0HsPLgd9EkKwBmha5vISYGH+fao+AF0aIqwhdG5joc/EVrsbldC2VBfFqmhoqUuZagyDzcgeWPsO1CvECCJx2xfRFZPGd8K4sIq21KBNbHGkBw7RZU86GBKsLfK8lKjlc1kZFfAcsDJ7lsdqgZnZTMuK+uINvsYFXQMm6+YmD0ICjt+GucsndaGSBScC30LcoCDq65QbJPEZ3MtWbEJAnx2A41uB7obUdv/RaoEjM57+wooeGDa0UInuA1l31/XI9xyYtaYiROaEf1iArHqNDyEUuKL/wumvzfQpmIvsnCdWumOkek5Zaj5fYj9FoYSJ2O1+2CivHS++pxKlpI8mSy68rQevgeX5csMuOzhq2vwTvQhKxFVyItpzSg/0lkuQlFdaK4AmuTQVvCPOGVZfe01qHv0AdQphSgYsVVQf1v1dqbAJDbzEIKriVGiT35I227ECdwIg6mIQuySBBJIRKJwBEG+oH0juqSM7Ep7TqwqoSYe5NPVM4WaEZnOlRX2BkttHDDM47Hpd7HPaY0iDeLX3L+19HkewAlAQ5+hd7JaA3cAx0YTkXfsR1YdeAbaJCXA/M2IFpoiUI57dcOPnN9Kh5+8Ev2ETEkJ8mgnNg2ke+47tOnIevcA1nlBShfcqkIa5eIFk6ZhlMX5jNtQ8doDKpvTkU7ohpHLITrVigTVoFg7G6GbaATSVmlSOQnZcmxcuLVb9PrQsllP45oBQ05HrWKwD+byzE8ZpvI0YMkT8h1ZbJroSCgRbUeIkDGwb+g0ncMW1NLAgquiZ1VGmulGXl9cmCT42IgHDfhiPANnNyDdSd/h89b5wJBBtczFSm4luB2BEFJOcLKkPGCS7hAR1ChcFiIRAquY0lafjW2L/8HVPoUcAWnU5TJfeEPUdoyoP6Fr0Pj6ITmnJ8gr2x2WOty8aqfwezTsa6usDIGKFjSc+4a0zeX6e+hAw1d6lS/WnC9cMEg9E76+b6waLAr9xZS1oC8MPqM/fxAKVw17OanvwCDuxe+i/8akONBAj841IRo/yUMMsmAe9iLWotwh7/mv61Gmb+Jiu6Q3kBl2xYst3yAje05gBRcTyvass5Dp6MfCck5o49RviR7ptF29t9x0mpETn5khLs8b96LRd5D2Dz7V0g885Yha6VVA6/T+x2yhxBPCLZPxI5tIkE7B61uMMM3SamzEFx7FJGp1rTLk7leZt5Sciosg93I5oVMDVEMrvOufwwdcgVmhSEOKJSUe+TBr8PjdsI62AOWZTlbvRmCFFxLUFRe7uCQqWdm6dGpuC5/DnUyOQpTsyP2HoIQiYy3gpKIDTpDMsoWXxiXX3/BwFYUse3YOdAOgAuuT+z7GMyOx2BNmYWaq38e8LqalvwUTX4W2fmB59xls6/Bxs5qGEqi63EtoLtvB4gkTeEpjw90NyOLccHDypGeW45YMVx9Er1juOaqn4a9jiEhtjB7xfMcdchBH/aYiUBZ1ZSDJOLLStAlnSqPNDV1nzyFZUd/hs81Z1DfcyJIJAjuhPvt+xhuqCOsc2gymRc7lJg+1Fz10AStLbGfxG5r2A3njifg0Wah5prAz92TUVizApHEqUyiVkg+u3HoMUHvwM0qoqLI3vDv+6ByDyL54t9QK63JECbdJtNFEZInnskqE928fZQyMsG1i3yvboB1DH+vk2Hpa6XLPiQHXbUWDhNl/4PCbQ+5euTE9tex+hCxA50DfOl9zBSk4FpitKdhhO2H4oX03LKIv8dg1Y2oHWxCSqE4/aISkcdq6qMDC+INTILyaCl1+kYodTr6mrDatQP7jVxfWaCUL70s6PcvXXQeAHKLLwbb6+iyQ5YNnYpTUReDzhMHYN3yGHyaNFRf+6spXy+ruhgb2/OgK12F6QQ7VCobXuaaKIXTQeoIi7oJX2sdgAl6KjakS0gJ+r3kumSqHG/wcpmegvnn4lD2/wCGQbi4yOegoj18T7gw8cnbAElMX+R8hRjioP3KaerECvN7OGYtwXTBrUomqV4wzuEg0M2XXpNWo2hQPbgRaTDhgKl3yuDa63HBymphZ3QTBjAuYi9FJtMmyVzL3JHVGfKoUwAbIAswuHb0tdBlnzwL0ZMzi/31Rh6E4Ox0QgquJSgaPz/oCEHlVWJ8qvgSK4nYc/SDv4J1mVF89r2TBs2tG/+Bta2PYbvhXJTd9kzEt8stDAJGiIkIVkThBkbTGVfvMbrsVxeEnbUcidPUjZXm99BkyQ/o9WVLLgHILYr0dzXBYe5DYkbhUA9ksDAiiTw5ZQaufcbBqdhORmJqDtz318NByroDVLkfiTqZUyZO8hmHSvizS+ZCDDx8ebyfP87U/ECOkYLraQdx+HDYBqFUa6FPSIU7oQhHHLMgSzm1/iX6DHs2B24rNRl26yCaPnsCjDoRNefdi0jgI0EgCXKcA0OPCZNppLxaEUUNHA8/+TUZ+ZVnwFHZCLl/Yhs9D8lcT6GALYj4shEKrv1qbpwhdw1/r5OhSsrGDsN6uAxFUQ2uj+96B8zhV+DMmIdZF38zpHUI6vi+EKpHFJrEUXodMwUpuJagqO/eiBN2MwqC7EmcrtRvfgls2w4oy87mBtASM5rFjX+gJauHjVdMnpHmy5t8URKwokqd3lMGASGKaDUd3ABHTyOSSpYEbF1F/gesHxmlC+hANdocefvXSOnaDHP1jahay9mnEBhbD106NOLaJck1wXuqRhvXf7+Che592FTzcySefUdI6xBEnsIVqnPKE7j90z51cC0Qqj+8PoXroU1lTTD6fQHb0AWChwz6SFs/H1wLlVpCMCQxfWh57VtYafovanPuoi0UNVf+mD4ePX3liVGMsJXiumfDw2rswrqWP8PGamCPUHDt13DBtcI9fIwLYnFE78AQpxo4xG1jIsxV12OjeQ1SihZN+BrNgi9gc9c8ZFUtQUTQctdTldsU0MuL564FyC3KuPtOYK3tE+z2j9Y9CQZB9yCU9imljkvo6Vg7mQ+ZMUjBtQS3I6jUSFDFw+UpOsiaNmKl6W3UklKyCAXXTYdqoVBrkVU8Nyp9SxITQxSH9XDCPY4q9UgYQTU/asH1OEqdgv1TkP1L/r3P0ItkrfNrAQfXmZu/S3u+d/g5oadooxo8hnme/ag1Lhv1eOG5X8fB/muRKnKbiopfnxYO2us9FW0NuwA/i7SC6ogoAY+H4KkdjjWK0IfKhrkfu5WJXFDqDGyAGA5JqVxwrWR8VOCm9/geuJu3Q1W0POwJ0KHJMv7Y0vDBtTDZIjF9EH5LYUAfTwi+y1rWCTG2TrheketXpJDpuDyp1j1cvuzl25RI21JUgusAyriDoWrd1FWDhbNXQzF/LVJS9BgYEM+XXEDGe1VrvYFPTMYCQXBXEOANx20olOBazQt36lgHIicvHH2k4FritMTHnwQY79T2TKGyYOMtdKBYf82WGaWCOB1xkIs3OwCP0xxX9mk+Xl1TyDSOsscKchtODSACQcjgKkX0ZQ0GHy8mw5wSSOqT0uhNbITPSQa/gQTXKR9/FcVsK3aseBKliy5ANBA8tcOxRlHPvw617dXQ588Pa1u8Ki6rwLimHiA2bH0FCZ//E4NZq1Bz+WjP6kAneI1IQCossPZ3wnNiA9b2vYhNPmfYE6BCuaJwnJHJlVju9xKhIwzgZYIoXRyhFDLXcMHm90+aXQ0E4XpFrl+RCq81GWVAHZDt4Xp+CUIlVbhuA4HiJhVcIzQRJqNx2+vQff4cTBlnYNYVP0S8klm9BluVj0CbFli7Qm97A5IzCqOeiBFaY4RqnlDQrrwfW3svRErO1I4Sp6LRc9cYDeOB0e2cMYkoKbiWoL6B7S/dB5/CgJLr/kgHOTMdlh9sySM0+02Uc0lgTVCfJqX28YyTFzQaKRw2uTVVdMpFhwb9IwIpYZ8MdhZ4OKMT+KCTBJnEOkkZIyFDYQJB6NmKNBo+mCLCWZ4ALuRqNvrlw94QfsdTKZqzBiC3MPGrkmBhAxtg+/q4KoQdg8ErhQsMylKR6rfAMdgBOf/5xZjoYtOrsde6DGwqpzxv/MLH6LSbkZEpTXpON4T9QcGfqwf/thbJ/gG0nvMPFFTHxvXgVKs/GcPC7bKHrcQsXK/I9StSYW5W2SJsOXQZfOlzUMW3YxQvuwqHSs6AXC5ea4ZY1Toe40kscO/GzoGJv9uB3nZYek5Ak5CBzMLxLcyO734PDFhULzsHYMSvVEvJLKS3QCDWk6VvnA8FfGi86rOoCO4KKNT6sIPrvPKFALmFgIYPrgkOm1kKriVmDnaLEctsn8LHMuhXPIrTAZa3xxKCKbFx2ocLXNRSdiTmjCccFg/e5EVX/AKt+AUqNcMXdznJ1IUQVAxndALbp1m/H1pw76WK1T7KZ66HFH9H9GIzHgfSl9+CjDzxrLhGDnbJMTpVcC18P9HMcAqWQuEE12JRfeVP4JT9FIE47Mps3XTp1oTeXtSRvARGez4U2iT4RKwiqVn/RQDkxpGUlguQm8S0Qzg3y/mqsxS/EekYRJss9rkitXZ4X3XazeEH1y5zxDPIpN2l8qa/jnqMigkWc9aQ8VatE4hYY1ft41jb9Qy2Jl2GzJtHfzaB3J0PoZDtwJGUl5BTFf5EZDj0d55EFuOh1mcpUZ7wk/MTx0KrTLRRKJTYmngx/HIN8kXU2Yg1sT8bScQcwdPQBm3YZUzTBUaY/Q6jz2Qy3LwXo5NVRtWzUCII4bBJvckNUc10jKTirufQYbejnA1SEkcZ3ISRx+OKfXWFanQWSqC89RXkoRu7+s8SNbgmVTkuVgk1GciQYzR58kBQx2f2ozn5IEyShDPxd2Lv+2BZFtnlS8Mqrw/meqC3cWWlbFLog8OqG/40dL91xyPcNkTpWJSYHgj7g5JXfBeqb4R+51hCsr6kDUytMSAhIXwrx+Hy7OhogMSKrKv+gCYwqArgPDss1jjxpJswIXfqpO1IiIAWQa2PjOUmmbyu3/BP+B1GlJ51z7jXegFTx1G67JDlQB+iIGSoCBPHajhDFuGr3/QfsB4nsuaej5SMvKD/v+KWv2OmIQXXEiNEM3SYOfNGk8OowxdxCCS4dkTJJ1IiBOGwcTDmnoWtA/nQZVfE9CsNqe9oaMLIMW2qK4R+L6Vv9O+SwFrogFmTGHqJ8UQ0XbuBDn5Tphj8krJxFeMdJboSDYYGhmEE1znbf0yzMjvlz6JkwXpEg1R3O12qSA+nCAjnZplavH2TlF9aTf3oeu9n8KsSUX3tL0Vbt0R0kAllrD4HX33jim31zSmIqq/CV1qFa6k3FWZjJ4ztjdAYUqj9XcPW1+Bv3wNV2ZkoXXQeIk0wThWCWKN/krapU6sbxoMIaJFrjHYy95AwIBOT84/8GomMDQe7zkVO6bwJX+vuaaTLPnUhou3WLrSEhSPCV3DoESqMujO1MKTgeiYiBdcS8Dg4JVgHo4uKMmQ8IBMG9f7IWPJ4hMw1NNJBFgcoV3wV2603Iit/1qSvm3XJtxBNmj/fBO/eZ+FKLMG8azhLmfADVXtQE0CuGFZXkOPQy8rAjMjSe70eZDDcZ9AlpsVs8Eu0KATCLe8MBl3REmyy3wAme+LB2FToWW6yQqXnbHZCpavpMHwfPQivTIOiu16a8HU+rxc5/m46WE0Mc2KKBEykX1XoARSCqXBo3PEWFu36PzQpSuE+749YNfgmTNDDDSm4nm7oMkqx3XAu3IklSHDZaX8zQRPFCbBokbn4amzLqoY6IbJOLu2f/hVru7ky6uySv4I5/iHWmN9FrVwFRCG4DoahbPQk7SKnVjecCrnG6BhuUkZrGO75FZt+WRoSWRvsxjZgkuBaMXiMLh0JJYg2aTllOH7DHnqNC1VtSSNok4So3eJyWOGwDEBjSJ40wz+dkIJrCfh4b8Fo2S7EA3lz1+Ng9rt0pjYSRNsnUmJy8quXxuVX5DS2YLXlAxx2zBl67Ohz90HuNkN35neQXTz8+FSkVa3FZvmvoE7JD+j1Wn0yNhZ/HfB7MfmUQ+QoX3E1jCuuQc6I8mO7edgSRheBzHWw7TKkDy6aCqbF884CyC0MDKTkkWT+wzy/yeQKzHXvgYNVwTKJ+rGpvx3ZjJdOlKRmFYf8fiRjtmTvN9GorIaBHxiHOmAbiVyppmq0ar8DNid3bnZAe9pUas0k8ivPACqfofdN/R106WcZqEboVsSSI//9DZSDJ6Bbfg/yKhaHta60nFJ6iziGTKAbULv66J8qwfOa92qONCf2fgj/4VfhSZuFmov+b9LXKgLQYhhZ3TAeNlPv0H6TkJwGi9WDSGBWpgHuFnhMnZO+LtHWzN1JE68FKlDkCgUSU7PCWsewMGpogfHgc9dijvcQNs/5VUA2atMBKbiWgF8IruXRLkiJHfqEFHqLFIaMEtTm3gNWnRSzwEUieAZ6WmjvnlafRPvnIo2cn2EfqdRZMrAZOejDHts9Qa2L9CYH059MenFnXfxNxJLxvmO7mRvgEZXqSGTUj7z7BygHGqA54/ZJ1YVJKXht3pfo5EMNpg8up532lBNIJiAcktK5iRot40a3ZWDC/m2XzURttLyMkg7WQkWpS6Kl+MneXgxe+m/ssfQiszDwCaaJUGgEL1UbepzDE5+nzxVvZuLiW1scUEXlfB0IGR2fYJb3CDZ3nw2EGVxHC3kCF1zpPf10qfWaRnk1RxpXTwPWmt/DHhrUTx5cM6xvyooWQaRLcHs4FTsfXJsZPZKVKlJriEjgUGeAeD76LZMH1xkerqWUxwDPAAAndUlEQVRGk1mJ6QapNNLxwp+hare4SduedzgWmQlIwbXEkGiG5zQKriNNZkEVMgvCK/OVEI+O4/thOrYVqtRClE3imVv88lo6uK+7ejPSskPPwAWKXMPPsPN+07FSqI4nXFYuc21hEhCJYvXU9k8w13MAmztXApME14akdNRc8SNEG9LrPdjbBr/Xg6yi4MN6u2VgKCtDJonCVT8m5dNJsMHc3zZhcE36CX33HwXr95EERsgk53GfN4ftAZtRMKGNTrDoU7LpMoUdxDGnaahSS7riTT+4tgEHXA4zGBmDo/Jq+GRKhJd7Ew9B2ZudQjwzEI7tfBuewXakVK4JqoopWNRJOXSZ5OPOvXofd4woDWlxp4FTeNfL6Pb7UOGfWH5LwWdQ1RO0/TnNvUPXmMh0XHN4NJmABVDYeyZ9XUP2pWiydSAjLzZaL3UvfgMqlxGpF/4cyZkFQf2v2+2EgvHT+6GKCnoUBhDpBNYtBdcSM4jK9ffiuO0GpASrTjyNsVkG0PLhH8D43Ki+7jex3hyJCDNY9ynWNf0Bu3TrgAmC65ECVoIfcqQRSl6FniU6C8wLrQQr0EM8Ilv3vgvW7w2otIqK2LTVQ5uUFVIQJwZWUx/6X73//7d3J+BRVmffwP8z2fcEkhAIJKwJhC1hkUIE3BCpaHEpVrG+WkUQtJaKVb/Wz14uRa3dVBTcUCqgUoVXCyqIIEYEQRAUBNm3kH0hy2SZzPNe95mFJCSZJDOTZzL8f9eVK5k5k8lkzjzL/Zz73Af+lmokzlyt7qspt45cl/tFIsZTleNrAUsr1lTVw5lDOzFy43ScQSww97s2/351hTW4LkeIW0bzigxdEaXmDZ4G+g5v8bGu/r3ort1RjAjEGMqQf3yv26ZzRHVNdKxvbi62VjWv9vEKzL6qrCQX/VaMVj/nzDoGv9mfwZuYZf8iF7dasayUM0HfL8XYqq3YrP0/jwbXYV2sy9J11YpRYrEgQrNOiQkMj+3QGjitXWtZ7WdaWMggKr43NifcAS00rsnMwZgeqdic+v/h5x+AtoWSbaOFJwD5QFBVy8H1oBuegJ4GFa5Ty9ntKrm3zcG1PXvElcKodfblJ91wQcpbcOSa1PI0kYHxF9Q7UVdbo9ZBFGfMT7o9/VTSiytK8hAW053VE72AvXpoS0uv6VHAyj5HSeYs1dlSeoNty2O1db5seUkOMvc8iAotCJWtCK6zd6/D+H1/xPcBw4G710APBhgwquor9fPpahMCg0KQNHwS9sSvgcVi8VBwbQuqnKwjXVaSj9K8YwiJ6Nox8x5tAmzZDJLB0J5kxRpbcF1hCHPLAb618wbdQeZ0Z/snI8b8A7ptmI19B2/CoKsfdHmJSDnGFSIKXVEK/5LD5y6yUKcTFHKucFmVqcyj07tcCa7dsU69JyrmNyWii3XkWi4ul58tRJJttYbQKM8WUmucxh3YTBp3W0mAGN1CwKrar7gb/v6eXXrWKHPZZV9ea90neyuTIQTQSmBuR1p2jX2ajQuFUesCrZ9vY63vjFxfGIsaEzUSWm8uoj2N0p1yst5AxvppKPhU3yuS1Kg6fF2V0wJWqnp2YHvrZraNfY3NcJhUxeXyksJ6Kb1tq34baBsFDzNUqyWHnNFsI7d6BhlB9f7Hqoqzjgsb3fsOR2L/DI/8zTr7sjZORpayd32MjPXXofaj+9CR7BkLao3tdoiI74vN/R7GwZTZbnk9pkDr6JVWntvsY/Z9/DxyXvk5fly3yOW/VxqapL73QB7GHF/kcmBtV2y0FmeKsK3HbeY0qE5JLsDVaYYGKx54k3P7F9eX+QyyFfVzR8X8Fv9OcKia/iEKT+x1pPmGdVBwbV8OKrgVq7ccf+NmHF1yqxrA8HbdBo7HlhHPo/ay5lclOFuUi7yT+9WFdb1U25aMtRfibYvw6Hh8lfEP7Bj2VLv/vsUWXPvXWs8BfAFHrgk/fvIi/Av2wW/wdeibMemCeEckeCrXQhBuMMF0thCRMe4dubdftXYcaElXjsJhLVwZr7GNXFd24Nrk4bY5rLKcTEVZEVBbKsnA7UrpDa23Vqis5evsM21f89sxkqsDudItlailYFa1WhLQ8zMn7duks5Eli04XH+zBtYwiyVSFtlYql3VGY666122vpzaoC86WhQK2QkJNCSjcj6G1e7C5zPUCTuaQeMB2jlVhcN9nMyd6FM5WdkP10NuwNyEFUaqQEXU2crGlEsGIgAm5mxYiJn8tfoq5FCm3PA9vYLHvX8xuSAu3pUn7tbMKc1vsTr4LMPije0I/7L3mM1SV5SOpgyqw2+dIB8OawdUcmTaVXvmVCv4PtDCNUR6Xc+x71FZVoEf/keddLD+1/xtUleUiNnkoYmKGwlPUCLmTNOtTW/6Nicf/ie2hE9D7juXQrU6A5dzKQW0hS2eljPulS3/fEGytDRJQy7TwTqm4uBgFBQVISkpCUFDHjEx1BmGnN2Nk1RZszpXZKRdGcC3KDOFqxLDaNsfTnYz25SJsc0lIX/bCYcHNrHspau3pTR24NrkETgdu/AphkbGIjIhA/tHjjqDCvx3PdVYLRaShEpWleU6Da0NtpVdcADIZghGCGtRWWt//A18uhyXvAEJTr0DykPFu/3v2bdK+jTarVp+LD/XX+ZSpCh25DFhTUqf/FdXGv7VYMT2wxrZ8WojrBZD8ug9DQW60mgNYaQiFu/771Jv/4aZnIm9IY5XgOqT8BOJQjEPOtuUOZF8iys8Nr8lei6MjilsOmvpgo3vcU0ywLRcUZXpUS+FVZUUJ4u2j6k6WaRy8dir8DBoOxn59XoBbs+0ljC3/DF+emYMBgxdAT8EF3+u2xrVdlV+EtVp3pT7p68HdB2Nr3pWoiW1+LfDO5oIYuZa5e48//jhWr16NLl26oKysDE8++SQmT56s90vzCoF11pNIY1Db0lA7uwpjOGDJd8xRdCfHgTWQI9feQIp2iRhLsa0W9/nMVfqsTd6lW7Lj55QRlyC3x2GYys6iPadTpcYoRGqVqCptuYCKN2VXyHrDMlRZY7IV0Tm0FhdVbsJmSeX3QHBt3yadnvzaRq47+v2RYLpG81PFtyS4lqrlba2Mbyo5g+geqW6ZK96atOywmoIGS/q4IiVzOn7yC0Dst/fBZAxzW3BNvqNKsos0IKImR902B3nPvOuel83FftNtSKyXSdQeMvpqX68+KNSTNa31Fx2fpFbokClBLR17K0qsVb4l20lWMmhNdkP9Wip2YVXWKS7GKOtSg550YONS1JXnIPmSuxBm+0yU5J1E4SePIaC2DGmm76x93Hci9FIVHKeqdaPc+XlDY9kHd+LsiV0ITxza7gKUfYZfBsiXD7kgguu3334bGzduxKeffopu3brhgw8+wPz58zFkyBAkJlqriF7IAu3zei6wpX9MfpEqFcbsgeDav86Wfmy7ik36ioyzXrmOMJhQKOv1NlEEJ6xrL3wVfS00QwBSoe+cQqNf+zJrKoyRQN0ZR8XtzpBdUSFXzetyUVNuPXGKrLYWzvLz0IlPr4kzsb/yJiQ4KRin58i+jOYHogK17ZhTWr71VWSW/C82d7sDXW/smJoPMXXWz1twF/fU3q2zXWhxd0XvA1nv4qLv/oDTxkQUTXwGSYM9cPGGPK5aFWAC4uqsQZIW7Fog604R0XGAfLlICovFG6yXgqNsxy9Pr6CSL6nUu1egLjASoUOnIWnQWHTU9KDWLH1ZVWatSXLWEOG0YJQ9u6GpfWiM2RpEBnf1/Ps6aN8zqpDidzmXO4LrM1mvY0LZOusDDECZFoLEtIuhF7ME16WAv8l6DG6L0r1rMOH0Ynx9+irATas7+IILIrh+9913MX36dBVYi+uvvx5vvPGGGsmeO3cuLnT2VFn7vJcLRbV/pFqSRzO5P7i2V/k02Appkf4F7LIGL0BgdHf0DGp6Dq0sR9Ut+aUOf20/froQgbk74TfsJoyedINLz1XpHw2ZtFbXiuDaW7IrSoJ6oqbiGOrKrSdOsXXW0aiQOM+kyclIcGtGg422OZN6XHzYEzdNzXHu1o51qgNrStR3LcQ9o3k5x35A3fo/wmwMRvKd757XLoX4YrUidZIYEWctRuYqqQcgNTFq3F107NRWlRHQRzuBk6f2AAyuO6Wc2EwUVfRBv4od1jvc9Fn3JjKKu23cEtSWnEFqC6O07nJiywpMOHSu8Nbmk72BDgquW6umwnqMKDdGIrKV2Q21jYp0yf4qTitQ+6vIeM+nYpcYY9DVUorKguPAAGtNiqCzR9X3b0IvQVWPcYjsOwaJHTS/vSk9r/gtDtXdg34xbc888qvIPVcrw8W1600VJYiO9Y0BT58PrisqKnD48GEMHjy4wf1paWn4/nvrXIcLXaikHklAGNr2E7nOLOSKx7C7tgpJ8efSct3Fvl6j0VZIi/SXeonz5an0EJz9tUqD/vL0IOxaZ0LtnlWo7nkxBl5+V5ufqybjLmSVTUPsgDFOH2tJmYrNZ5IQ0icTeoq/8XkUhURikL8/qk0V6CmX0CVVMKGfrq/LX8eLDwOnP9Pu3w2utQbXxlDX5z8LzVKH9JpvUYLwJpcGO1uUjQSDBWbNiEjbermuMNdUI/3gP1Wxycow944sWboOBKzn5zDaKtRS5zPwl9YgsGDR5YitK4FfuHs+6+4gn9+DHz6O0LNHkHDzay2mLzvLYOrIArPBCQOBQ+duR/bp2FHIA1/8GwFH16Mu9RcYMLbpi8zmcmtth0q/CKfBtaqArQFmVSjznJKCU0iQ9e41I6LjPZ8Wnh86AP3Kj8F8epcM7an7km59DXuzDyMmNMIrgkmVbdFOQVXW0W6LrOndTqUFpzFg5Vi1CkDhnONuWyFCTz4fXBcVFUHTNDXXur6YmBgcOXKk3c/r6fXxXOHnZ8SuZ6cgvDpX7VwaKwuKR5+733fcjoF15DYkPMqr/y9369FXCrgBuSf2o/btac0+Lif5Fxhy7Xz1c2HuCWjvzWj+sYlXYsj1j6Kgz3XIKslATK9Bbn1PpW/rf6e2OXlgB0LWzWuyrSwwDvG3vN7h66aag6KBSmDgsbeAY1AFerbkhrfrc5M65mrHz/kvToChmYqqeVHDkHbbQgCuVfl0h6gY6yhyUc5xGFf+Sv0saXLRXeI8cpCV7b3wi4XILHofB439mn1v6vpNRlZ2N4T1GePyNtye7bayrASVb17TbHtu3DgM/pU1CK+tqUbp4ivUz/3qTqlRmcCIWLfseyJshfGiUY6DL5+bF5gfORiD/mcRaipKkI8YmA3+CA52vQK3v38ITk/7X+w9tQ/9R0xx6/4zMePnwE+2VHlLtVuem/tk/SSZj6nPenCkez7r7uhfP2MQ0nP+g0hDBY6+eSVMjU6z/W95D9FdretK/7DqL0g49XGzz6Xd8CbienTMRcb45DQgy/pzAaKQlDqyQ4McQ/YOjKn4HPk7d6Hku4aV33NTbsXgybMAWzXp6gDn56qVATFqHnHGjgdQdfG5YL36v/er7znGeEQGBXv8fKo2YQRwaD2G576HvJc3ozgkCQPuWuY4//Qm2QsnIbCZ5dAKw1OQesfrjtsnXp6KUHMpBtWdth5vohLavQ2Gx1gvjkkBuhPfb0C/kZM7/X7Z54Prmpoa9d3Pr+GyNnLbbDa36zmNRgNiYrx7Lm2c6Sh6ata5i42dqqps8PqPGXshtq4ASf36IzTcu/8vTyjN0dDbcrjZ9kJTruP9MpUa0aOFxxbZHjt+xkPwpMhI/dYm7sxy/WoxoLn+qzqMmteHoeTubxGf2HGVO/0S0oDi1SqotjPGp7q8j4kyH1ZLfDXFZOridfswU4lsW9Zq6ceDUzGkq2dGFiuLQ5FS+IE6IWjqs2B/b8Zdd7eu262foQqJLexrSit7O/qwtsYf8fbHGqBGAJLSMtzSxxHhvVEAa/Xu+u9XtSlCPX/MRZnARcdUuqWfv3tOKWJiLgIy3D9yFhOThuPGnki2nELvUVe6dRvgPrnjbR0wByMOPo/kQe75rLurf3eHDsZw0zfoY9uf1Zcf6u94rQGm3OaPR3IxOKjjzjWjo/oh29ANCZY8HB7yW4zx0P63OaEDLwO2vK+Og3GWhlP1CqoLbedVD6POPB9pVRVOz1WzJ85Hzae3QkPD9/CEwQiLZkDOiHnoaetTT267vcdcjbqDzyLKUIEoy2EcrtK87thrF1B7RGUMNcVsCmrwuutqjqhjghxv5P3sNXhMu/8vLSoEZxCH7shHcPC57aMz75cNmgzr+rCcnBxMnDgRK1aswIgRIxz3S/XwAwcOYNmyZW1+zro6C86ebX69XL3JlZqTP2xExdlSNZfhvPagMPQbcS7d6Mh3GxAR1xtxifqmYepFRohO/bCp2fbwbn3Ro691iYCqynKc2P1Zs48Ni+2NxAHp8GTfys5CPn/yOaS2KS8tQPY+2+X5JkR064/ufYd06NsqQcnxH75AXXUFgoL8YTGGoFfaeJcDlZ++Xt1sW1BkHJIH65sO3phj2zL4oUdaJsIjPVekKPvwbpTnWee9dcR7057tVkajj37b/KhWSEwP9LIVkLFY6nBo20dN7rPcQTJ2Co/sbHCfjIz3HqJfER5XCjdJ1eH4XilueT7uk/WTf+ogzOZadO/tuVHA9vSvOqfY+2WTa8MnZ0xCkG1pyNOHv0NF3rFmnydp2OUIDuu4ILc47xSqTWeRIKPYHUzOVY/v/Qo1ttob9UUlDkS3pLYvDZaffRglJ/dhwJhzGUDyNwJDotRxvqO23fr97B8Sgb7pl8MbHdz2kZoG1JSAsBj0GXYuc+nQjo9hqZUS40B4fB/06Dfcpb9dkn8aeYe2o/vATETEuF4Q0FN9K8/ZmtFwnw+uZRmujIwM/OUvf8HVV59LmZw9ezaio6Px9NNPt/k5paOKiqzFbryRpGbIlZ/i4gqYzQzAfAn71nexb30X+9Z3sW99G/vXd7FvfZe/h+KgLl3CWhVc+/zETaPRiDFjxiAr69xoVWVlJXbu3Ilx48bp+tqIiIiIiIjIN/j8nGsxZ84c3HrrrejevbsaxX799dfV+tZTpkzR+6URERERERGRD/D5kWuRnp6OJUuW4KeffsKiRYuQmpqq1rkOCAjQ+6URERERERGRD7ggRq7F6NGj1RcRERERERGRu10QI9dEREREREREnsTgmoiIiIiIiMhFDK6JiIiIiIiIXOTz61x7grxlFot3v22yDps7F04n78G+9V3sW9/FvvVd7Fvfxv71Xexb3+XngTjIaDTAYDA4fRyDayIiIiIiIiIXMS2ciIiIiIiIyEUMromIiIiIiIhcxOCaiIiIiIiIyEUMromIiIiIiIhcxOCaiIiIiIiIyEUMromIiIiIiIhcxOCaiIiIiIiIyEUMromIiIiIiIhcxOCaiIiIiIiIyEUMromIiIiIiIhcxOCaiIiIiIiIyEUMromIiIiIiIhc5O/qE5B3MZvN2LJlC4qKijBs2DD07dtX75dErVRVVYXt27ejsLAQffr0wfDhwxu0WywWbNu2DTk5OUhLS0Nqamqb2sk7bNy4EfHx8Rg8eHCD+3fs2IGTJ0+iX79+atttzFk76efw4cP4/vvvERMTg7FjxyIwMLBB++7du3HkyBH06tULo0aNOu/3nbWTfvbv348DBw4gMTERI0eOhMFgaND+448/qvaEhARcdNFFMBqNbWqnjrdmzRpMnDgR4eHhDe4/dOgQfvjhB8TGxuJnP/sZ/P393dpOnvfZZ58hIyMDXbt2PW87/umnnxAZGYkRI0ao7/UdP34c3333HaKiojBu3Ljz9uHO2snzNm/ejP79+6NHjx5Ntp84cUL10bXXXtvg/uzsbHz77bcICQlBZmam+t6W9vYwaJqmufws5BWKi4tx2223qYN/cnIysrKy8Nvf/hZ33HGH3i+NnJCTr5kzZ6qgSwLrrVu3IiUlBS+//LLaiVdWVuI3v/kNSkpKVND85Zdf4te//jXmzZunft9ZO3kHCZClX+677z7MmTNH3VdbW4t7770XBw8eVEHz119/jUmTJuHJJ59sVTvp67nnnsOyZctw2WWXqRM42f/KbTkJk8PrH/7wB7U9S9AsF8/kxO+f//wn/Pz8nLaTvhYsWIBVq1Zh/Pjx2LVrlzquLl682HFiLdugBGoSSMlJnbS/8sorrW6njif9+fDDD2PdunWqP+xefPFFLF26VAVO+/btU8HXm2++6QjAXW0nz/v888/VcfWdd95Benq6Y9Bh/vz5atBJAqczZ87g6NGjeOGFFxwXMt9++2384x//wMUXX6wukMh++d///rcjQHfWTp63fft2FctIv1166aXntdfU1GD69Ok4e/as+hzYffjhh3jsscdU3506dQqlpaVqO+3Zs2er2ttNgmvyDY8++qh2yy23aLW1ter2l19+qQ0aNEg7duyY3i+NnLjpppu0hx9+2HG7uLhYy8zM1BYvXqxu//3vf9euueYazWQyqdu7d+9WfSvfW9NO+isrK9MuvfRS1S8LFy503L906VJt4sSJWmlpqbp99OhRbfjw4dqGDRta1U762bRpk5aWlqbt2bNH3a6urtamTp2qLViwQN3+6KOPtNGjR2t5eXnqdk5OjjZmzBjtP//5T6vaST87duzQUlNTtX379qnbsv2NHTtWe+ONN9TtrKwsbejQodrx48cd+2zZvl999dVWtVPHMpvN2iuvvKL2vykpKQ3Oi/bu3avul++ivLxcbcfPPvusW9rJsywWi7Z8+XJtyJAhqm937drlaFu1apU2atQoLTc313HfE088obZFcfLkSbUP37Jli2MffvPNN2uPPPJIq9rJ8z788EMtPT1d9e3nn3/e5GOeeeYZtQ3a+1UUFRWp31uzZo1jHzBr1ixt9uzZrWp3BfOTfIRcSVu7di1uvPFGRyqSXImRUdCPP/5Y75dHLairq8OgQYNw6623Ou6Ljo5Wox07d+5Ut//73/9i2rRpCA4OVrdlBFNSm2RUpDXtpL/HH38cQ4cORVJSUoP7pY+mTJniSFPr3bs3LrnkEkffOWsn/bz77ru46qqrVL8KGZGUbKEuXbo4tsvLL78ccXFx6na3bt1UX9bfbltqJ/1Imr+k98q+Wcj2J1kFMoJt7zsZpbRvz7LPln1w/b5tqZ061j333IMlS5ao7bMx6SvZhmU6lQgLC1OjYPX70pV28izJRPjb3/7WZKaeZADNnTtXZQXayT779OnTyM3NVefHMuVDpvPY9+G33HILPvnkEzXN0lk7edbTTz+NRx99tMUszG+++Qbvv/++6pf6NmzYoPpLjqn2z4JkDkp6eVlZmdN2VzC49hGSziAfBpmPWZ/cljlf5L1kg5a0lMZzcI8dO6ZSS8vLy1X/Nu5bmU8vfeusnfQnB2hJ/ZUAuzHpI5lH1Nx266yd9LNnzx6MGTMGBQUF+Oijj9RBWVKI7777btUuaeIt7ZOdtZN+5EKHTLXKz893pJfK3Hq5v6W+k+kbcsHUWTt1rKlTp6pUcJlr3VhzfSUpxDLVytV28izp0/Xr1+PnP//5eW3XXHMNbr/99gb3SVq4DELJRZDm+q6iokLVOHHWTp41atQotd3edNNNTbZL3PPQQw/hT3/6E7p3796gTfpOBhjr18mQvpOLIrIfdtbuCgbXPsK+A5dgrD6Z7yNzCKjzFeWQwihy9bu5vo2IiFB966yd9CVXx//85z+rK7CN+6i6uloVsmuu75y1k34k2JKgWrZTuWK+adMmPPPMM7juuutUgRQhfdTSPtlZO+nniiuuUFkFUsvitddew+zZsxEQEOC4cNJc30mNBDnxdtZOHUuKHDU3/1mOoU31lbAfY11pJ8+SoFqKSbaG1Kd59dVX1cUW6SP2rffvh+PrZR00JudWklEkF1Ea07NvGVz70ImeaFyJVG6zZl3nK272yCOPqKJXUp3WWd+y772X9I/05S9+8QuVItqYfQSrcQViuS2/66yd9CMFVKQPvvjiC7z33nsqLXH16tUqldhebE76r3Hf1d+OnbWTfmRERPpXLnDJPjkvLw+hoaGOk66W+s6+7bbUTt5DjqEt9ZWr7eQdZETygQceUBfJ/vjHP6r72Led19q1a1WRWAmwm6Jn3/Io7iNkJEs0viIut+1t5P0kFUUqIt58881qnlBr+pZ9792VaaXKpSwdsWLFCvUlJ+0yn1PmCMmSD3Kgl6vpTfWts3bSj9Q3kNRCGTWR+bRC+kpGrqWiuxycZZ5uU31nvzrurJ30IydskoEg82n/+te/qm1ZUgZnzZqlAufm+k5O1qT/nLWT95B9aVN9ZW9ztZ28I7B+8MEHVSq3zL231zBh33ZO5eXlah8tyxtKbQM5t5IlLWW7k5+ln/XsWwbXPkLWR5UTu8ZzQGTdt8bzRcg77d27VxVTkDTE3//+9477Jd1JvprrW2ftpB/pFwm2ZA1jmUcrXzLiKfM4Zc1NOdGWOT/SV/XZ17N21k76kr5pKqNEUn8luG6q7+pvl87aST9yAUxSEu3LZsm2KKnFUt9Ctt/m+k4KDkodDWft5D2kPklTx0+5aCbLLbnaTvqSY+7999+vtl1ZQqt+mnFzfSfn01KM0Fk76cNisajCdDIAYT+3kil40tfyswxiNNd3Qo6xztpdweDaR8iGLoV06lenlOIr8iGT9VfJu8kVNym6ISlLd91113nt0oeSAmNPVZGdiIyIypzA1rSTPmQ9RiliVv9LTrakvyRd3N53UrBDAjIhBwVJNbZvt87aST8SfEnfyLz4+vUSRo8erYJs2f5kzU2TyaTa5HHSbu87Z+2kHzm5kpRD+7QbIWtVy4iGVHeXPsrKynKkicvImFQQrr/dttRO3kP6RPpajpv1V1+p35eutJN+JNiSSvGy/vFbb7113txs6SMpbCXny3aSrSKr7ciFNWftpI/IyMjzzq2uvPJK1b/ys1Tul/OvnJwcx6o79r6TOdqyooezdlcYZD0ul56BvCql+Fe/+hUyMzMxcOBAvPPOOyrgfuqpp/R+aeQkvUV2CrIxz5gxo0GbnMTJCbykJ8oya1JRXOZhS0pxSkoKFi5cqB7nrJ28h1xtlRGwOXPmqNtSVOOGG25AQkICJkyYoC6QyQn8m2++qS6aOWsnfbfd2267Tf0sBXLkIC0XtZYuXYrU1FQVLP/yl79UJ2GyjcvSHzKHd/ny5apSrbN20vd4KssjDhkyRB1HDx06pCrCL1iwQE0FkNRwaZeLXVJMRwJpOVGT5dlkX+6snfQhAw6yJJpcFEtOTnbcLwXrpI/lOCrb8b59+7By5UpHBWJX28nzZPuSyuGyjaWnp6v75PxXRqtl5No+fcdOtmMpaCVLeX311Vfq/FnqK8i0Hjl/to9eOmsnz6uurlZLzC5atEgFxU15/fXXsWzZMnXB2k6KjH7wwQdqXyzLr8kFTjk+y3O1pr29GFz7GPlwSFEdOaDL1Rc5YWs8YZ+8i1wRlSuqTZGD/5133ql+llRE2QkUFRWpIPrqq69ukF7orJ28wwsvvKB23PWXhJHRLbkgIicHAwYMUAXQ6l8Vd9ZO+o6MfPjhh2p0Q9INpW/syzXZ53DJdmlPCb7++utVKltr20k/st3JSIb0jRSqk+Np/YBM+l76ToKqnj17qotg9efqOWunjif70Jdeegm/+93vGlzkkMwCuXgiQbFsv7IdurOdPE9Gp5977jnMnDlTTZUU//rXv1BYWNjk46WujfSVZKdIUCVr2EtmmUzlqr8Pd9ZOnmc2m9WItAxAyYXrpmzZsgXbtm07b01suWgt98totxyf7Z+N1ra3B4NrIiIiIiIiIhdxzjURERERERGRixhcExEREREREbmIwTURERERERGRixhcExEREREREbmIwTURERERERGRixhcExEREREREbmIwTURERERERGRi/xdfQIiIiLqWCaTCa+99prTxw0fPhx79uzByJEjMXbsWOhh0aJFqK2tVT9PnjwZKSkpTn9n5cqVyMnJUT+PGjVKt9dORETUFhy5JiIi8oFg+8UXX8SWLVvgbRYvXtzu17Vw4UJs3brV7a+JiIjIEwyapmkeeWYiIiLqEEVFRWp0d+bMmZg/f75XvesZGRmYMWNGu15XWlqa+p/mzZvnkddGRETkTkwLJyIi8mEyol0/LVxuX3nllbBYLPj6668h19jHjRuHgQMHoqCgABs2bEBlZaX6nWHDhp03Qr5x40acPHkSXbp0waWXXorY2Nh2vS4Zkd6/fz/MZjP69++PzMxMBAQEuOV/JiIi0gPTwomIiHzYSy+91CC1Wm4/+uijuP/++5GXl6eC5euuuw7PPvsspk+fjgMHDmD79u3q5/fff9/xexIIX3XVVXj++edRXFyM9evXY9KkSfj888/b9Hrq6upwzz334KGHHkJ2djYKCwvx1FNP4dprr0V5eblb/3ciIqKOxJFrIiKiC4wEtR9//DHCw8NVsbGJEydiyZIlWLVqlRrBFpKO/dZbb+GGG25Qo8v33nuvGq1evnw5QkJC1GMkKH7ggQewbt06xMXFtepvb9u2TQXkUrTMPjJ+5513YsWKFcjNzVWviYiIqDPiyDUREdEF5pJLLnEEsZKKnZycjD59+jgCayGp2hKEC0kfl1RwCbjtgbW44447VAr52rVrW/23g4KC1PfVq1ejrKxM/Syp5ffddx/69evntv+RiIioo3HkmoiI6ALTtWvXBrf9/f3Pu8/Pz0+lcIvDhw+r75Jebv+5/uMa39cSmct9++234+2338Z7772nbk+YMAFTp05Ft27dXPiviIiI9MWRayIioguMBMRtYQ+y649a28n86fHjx7fp+R555BFs3rwZTzzxhBq1fvnll9X8bRkhJyIi6qw4ck1EREQtkrRxezq5veq4qK6uxquvvoro6Og2v4MyUi6F1OSrpKQEU6ZMwbJlyxo8PxERUWfCkWsiIiJqkYxMS8GyRYsWqQJodlLwbOHChYiMjGz1O7hjxw71OzU1NY77AgMD1ZJgrS2KRkRE5I04ck1EREROi5DJ+thz5szBtGnTVLAtxc42bdqklvVKTU1t9TuYmJiIDz74AJ988ola29pgMKgUcRn9nj17NnuCiIg6LQbXREREnZzMhZalsqQ4WGMSENe/X26PHj26wWMkNbuxcePGNVgWKz09Xa1tLQH1qVOnVGVvWataguW26N69O9asWYOsrCxVgVxGwufNm6eKmskINhERUWdl0CQPi4iIiMgDMjIyMGPGDMyfP7/Nv5uWlqaW/5Lgm4iIyNtx5JqIiIg86ttvv8ULL7yAyZMnIyUlxenjV65ciZycHFgsFvYMERF1GgyuiYiIyGNmzZrVoAhaW8ydOxejRo1y+2siIiLyBKaFExEREREREbmIS3ERERERERERuYjBNREREREREZGLGFwTERERERERuYjBNREREREREZGLGFwTERERERERuYjBNREREREREZGLGFwTERERERERuYjBNREREREREZGLGFwTERERERERwTX/B2/PYSnlWxYHAAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig_res_energy, ax_res_energy = plot_hev_res_energy(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "cell-12", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig_temps, ax_temps = plot_hev_temperatures(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "cell-13", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plot_road_loads(df, veh, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.14.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/content/hev_thrml_ws_wa.ipynb b/docs/content/hev_thrml_ws_wa.ipynb new file mode 100644 index 000000000..8317792f0 --- /dev/null +++ b/docs/content/hev_thrml_ws_wa.ipynb @@ -0,0 +1,301 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "cell-0", + "metadata": {}, + "source": [ + "# HEV Thermal Demo: Warm Start, Warm Ambient\n", + "\n", + "This demo simulates a Hybrid Electric Vehicle (HEV) with thermal modeling under\n", + "warm start and warm ambient conditions, where the cabin, battery, and\n", + "engine all begin hot and the surrounding air is also hot." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "cell-1", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "import sys\n", + "from pathlib import Path\n", + "\n", + "import seaborn as sns\n", + "\n", + "sys.path.insert(0, str(next(p / \"demo_scripts\" for p in (Path.cwd(), *Path.cwd().parents) if (p / \"demo_scripts\").is_dir())))\n", + "\n", + "import fastsim as fsim\n", + "from plot_utils import (\n", + " plot_hev_fc_energy,\n", + " plot_hev_fc_pwr,\n", + " plot_hev_res_energy,\n", + " plot_hev_res_pwr,\n", + " plot_hev_temperatures,\n", + " plot_road_loads,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "cell-2", + "metadata": {}, + "outputs": [], + "source": [ + "sns.set_theme()\n", + "\n", + "SHOW_PLOTS = os.environ.get(\"SHOW_PLOTS\", \"true\").lower() == \"true\"\n", + "SAVE_FIGS = os.environ.get(\"SAVE_FIGS\", \"false\").lower() == \"true\"" + ] + }, + { + "cell_type": "markdown", + "id": "cell-3", + "metadata": {}, + "source": [ + "## Setup and Simulation\n", + "\n", + "Load a thermal HEV, set warm initial temperatures for the cabin, battery,\n", + "and engine with a warm ambient temperature, and run the simulation." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "cell-4", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "disch_buffer < self.res.energy_capacity_usable()\n", + "disch_buffer: 1.0674736149042887 kWh\n", + "RES usable energy capacity: 0.8800000000000001 kWh\n", + "disch_buffer < self.res.energy_capacity_usable()\n", + "disch_buffer: 1.0674736149042887 kWh\n", + "RES usable energy capacity: 0.8800000000000001 kWh\n" + ] + } + ], + "source": [ + "celsius_to_kelvin = 273.15\n", + "temp_amb = 38.0 + celsius_to_kelvin\n", + "temp_init = 45.0 + celsius_to_kelvin\n", + "\n", + "# load 2021 Hyundai Sonata HEV with thermal model\n", + "veh_dict = fsim.Vehicle.from_resource(\n", + " \"2021_Hyundai_Sonata_Hybrid_Blue_thrml.yaml\",\n", + ").to_pydict()\n", + "veh_dict[\"cabin\"][\"LumpedCabin\"][\"state\"][\"temperature_kelvin\"] = temp_init\n", + "veh_dict[\"pt_type\"][\"HEV\"][\"res\"][\"thrml\"][\"RESLumpedThermal\"][\"state\"][\"temperature_kelvin\"] = (\n", + " temp_init\n", + ")\n", + "veh_dict[\"pt_type\"][\"HEV\"][\"fc\"][\"thrml\"][\"FuelConverterThermal\"][\"state\"][\"temperature_kelvin\"] = (\n", + " temp_init\n", + ")\n", + "veh = fsim.Vehicle.from_pydict(veh_dict)\n", + "\n", + "veh.set_save_interval(1)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "cell-5", + "metadata": {}, + "outputs": [], + "source": [ + "# load cycle and set ambient temperature\n", + "cyc_dict = fsim.Cycle.from_resource(\"udds.csv\").to_pydict()\n", + "cyc_dict[\"temp_amb_air_kelvin\"] = [temp_amb] * len(cyc_dict[\"time_seconds\"])\n", + "cyc = fsim.Cycle.from_pydict(cyc_dict)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "cell-6", + "metadata": {}, + "outputs": [], + "source": [ + "sd = fsim.SimDrive(veh, cyc)\n", + "sd.walk()\n", + "\n", + "df = sd.to_dataframe()\n", + "sd_dict = sd.to_pydict(flatten=True)" + ] + }, + { + "cell_type": "markdown", + "id": "cell-7", + "metadata": {}, + "source": [ + "## Visualize Results\n", + "\n", + "Fuel converter power and energy, battery power and energy, component\n", + "temperatures, and road loads under warm start, warm ambient conditions." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "cell-8", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig_fc_pwr, ax_fc_pwr = plot_hev_fc_pwr(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "cell-9", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig_fc_energy, ax_fc_energy = plot_hev_fc_energy(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "cell-10", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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IwEsrpWS444479HeRrSTzfvrpp6uXX345qQJ5VOeeT0R1jrRre+mll/TzRFxN1KLJ4gLud9AYwjmFIXDcccdldN6obT/zzDOaQcB5wyLg2fB8YReQBW3Xrp3/frKqKMjz7BF7E4eXz1ILzt+ol+b6eQ2HD/E7aOypwPEeeeQRfa9gYDCWqb9mPNPmCmYGQQRUwTO9V7tqDGV6X2ALSBDDDPLAHBFBN6m/3tXX5uDg4OAQjkplqZpcOjg4ODg4OOwy0K4K9XZEzejDbAKq8aGHHqqdXxS/93Yku1cODg4ODg4VAZfBdnBwcHBw2A2AqBV0YGqfqaWlJpp6ZKHQS8smQO36ypUrNXtg586d5ejBezoyuVcODg4ODg4VCZfBdnBwcHBw2A1AzS6U+SBAkYbyK7XFCGJJCyhUtaEiB9Vo76nI5F45ODg4ODhUJJyD7eDg4ODgsBsAcSucRtpU0fKMfsiIwFEjTa90s4f4ddddp8XxEJ+78847dS323oRM7pWDg4ODg0NFwjnYDg4ODg4ODg4ODg4ODg4RwPGnHBwcHBwcHBwcHBwcHBwigHOwHRwcHBwcHBwcHBwcHBwigHOwHRwcHBwcHBwcHBwcHBwigHOwHRwcHBwcHBwcHBwcHBwigHOwHRwcHBwcHBwcHBwcHBwigHOwHRwcHBwcHBwcHBwcHBwigHOwHRwcHBwcHBwcHBwcHBwigHOwHRwcHBwcHBwcHBwcHBwigHOwHRwcHBwcHBwcHBwcHBwigHOwHRwcHBwcHBwcHBwcHBwigHOwHRwcHBwcHBwcHBwcHBwigHOwHRwcHBwcHBwcHBwcHBwigHOwHRwcHBwcHBwcHBwcHBwigHOwHRwcHBwcHBwcHBwcHBwigHOwHRwcHBwcHBwcHBwcHBwigHOwHRwcHBwcHBwcHBwcHBwigHOwHRwcHBwcHBwcHBwcHBwiQEEUB9mTUVZWpnbuLFO7MypXrrTbn6ND9nDPd8+Ge757Ntzz3XPhnu2eDfd892y457tno3IefCOOWalSpbTe6xzsFODhrF69Ue2uKCiorIqLC1VJSanavn3nrj4dh4jhnu+eDfd892y457vnwj3bPRvu+e7ZcM93z0ZBnnyj+vULVZUq6TnYjiLu4ODg4ODg4ODg4ODg4BABnIPt4ODg4ODg4ODg4ODg4BABnIPt4ODg4ODg4ODg4ODg4BABnIPt4ODg4ODg4ODg4ODg4BABnIPt4ODg4ODg4ODg4ODg4BABnIPt4ODg4ODg4ODg4ODg4BABnIPt4ODg4ODg4ODg4ODg4BABnIPt4ODg4ODg4ODg4ODg4BABnIPt4ODg4ODg4JAhVqzfoh76ao5avG6zu3cODg4ODj6cg+3g4ODg4ODgkCGueWmseuK7eeqqVye6e+fg4ODg4MM52A4ODg4ODnsYJi4uUXd+MkOt37x9V5/KHosRs1fr3y6D7eDg4OBgoiDhfw4ODg4ODg4/eVz60nj9u0wp9dvDO1X4989ZVapmrNigvpi5SjUorKZ+dUiHtD+7Y2eZGrtwrerWpI6qXT1aM4XjbtiyQ3VrUls1ql09p2Pt176B+m72KtW0Tm7HcXBwcHDYs+AcbAeH3QxrS7epyUtL1HtTlqlPp6/Ur7UsqqEeOn0f1bxejV19eg57IBau3aRmrSxVjWpXU92b1tnVp+MQIeav2bRL7ueZT3/v/7t53eoZOdgvj1uk7vliturVrK568pzekZ7X48Pnqe8XrFN/Pa6rOrJr45yONaRTQ+1gD2pTHNn5OTg4ODj89OEcbAeH3Qjfzl6trn9zcrnXF67drB4dPlfddkzXXXJeDnsmJixap16fsET/XlyyRR3VtZG6/bhuu/q09lh8MWOl+s+I+erPx3ZV7RrUqpDv7NSoUO1qVCvIrBrtrUlL9e9JS0oiPxeca/DGxCU5O9iVK1XSv3eWwRNwcHBwcHCIwdVg74VYXbpVPfrtXLWkxCmf7m7Yr12xumK/NoF/q1ejauDrGHcfTVuulq3fkvL4r09YrEbOXaPygeXrt6jv569VZc7Y3O3x14+mqyH3faNu/2i6+t/U5dq5Btt2OEcBMIYf/naudoijxE3v/KCmLd+g7vx0hso3oECDAa2L1K5Acc34ejV39Sa1aduOjCjighfHLFT5QPUMnf4gLF4bYwesc3XuDg4ODg4GnIO9F+L3701VT4yYr258c8quPhWHgIxIF88wtnF8jyaBr788brH6w/vT1BUvT0h6P2eu2Kju+GSm+uXrk/Jy3497bKRW00VcySF7x64iAhRkCLds36kdHxOfRexQ/lRBacaTI+ZrhzgfqIhAhnxH1SqVd4us9ZrSbWl/tn+reFAAqviYBWtV1KheUCUyB7tXs4orq1i5YYtmOrmsuYODg8PuC+dg74Xo06KeX9crQAV1246dge9/aewidcv7UzWNNB94ZdxiNWJuTI11bwCqvsmcqCoe7dBG3RrBFR1vTVySlpJtlcqx49YLOU4uMK/nx+UbIj/+3oC7PpupBv7ra/XI8Hm7+lR2Cywt2azreF8dv7jCv5sscz7QuHa1hOxyPtGsbnVd+1wjgkxtFBni0q3pZ7CHtK+f8P+xC9ftlhnsSt5aXdfI1ucbZz49RpcRfT1r79kzHRwcHH5qcA72XgjJLAjlePzCdeqkJ0b5qrMmoB3/6/NZ6sNpK1S9DI0IqOgvj12UlGbJd//zs5nqmtfL1x3viZi+fIM69KHh6uZ3p5b725rSrdrJeuTbuYGfDbv/i0Ic629mr1KvjFukVm7cqv8vfvuOLDOkybKrKzbEvgM0rbvnC7FRXnHPF7MiLbOAiQBmr9yo8onNGVB1dyWgr6NE/Y9PZ1b4d1eplPg7KgzwxLCaVIDqdM2qVTT1f+qyigt4rdq4VY2at0YHY21xtY1b028X1rq4pv4R5IPVEUXgYasXlK4W9UAJAfdh/ZbYfXQlXg4ODg67L37SImdz5sxRH330kbryyisTXl+9erV688031bJly1TPnj3V8ccfrypXdrEEW5hFHK13p8QEZYIMMQwmQdv6mYnyzF1dqu76fJY2lA7u1DDwPduNWru9Af8du0j//jwg6EAdnzhZQfj4xxXqxJ5Ny70O1ReQrTLxwFdz1OxVpapN/VqqYWE1PzO+M5iokBQXPD9Wj497TumhhrRvUO7v89aU+v/mu/Z0/PK1SdqBGDVvrXrpwn6RHjssYBIV1m5Kn6q7KzGtAh1DG5u9OXV2v5aRHlfcsIpY9iSgVlFUYhzrq1+bFJodLs0gsMPnKYn59zdzI71f2w2WVhQZ7K9nrNC/35+yTB3fo/zaHDWWe4FM/PlT92mW9+9zcHBwcMgOP1mvc926deq6665TH374YcLrS5YsUSeeeKIaN26cKi4uVvfdd5+69tprd9l57o548Os5CZTiZH1G123elrUSLe2mbLEbGw09ymTt6qnr4d6cuESd9PhIdd+Xs9VPFe0bht/HVMGGdSGO0eGdY8GLe0/tlfA6LZfASs8oe2LEvIwNXTsoE2aro3IODmhXf69o8yTZuZl5yDYXVsu9NjQZVmdQC7sr0djL8t51UvcK/+7l67cmnEMUIIO7dP0W3TO5Y5J1ICrEFa5VhUCcazPoB+rXqpoxRfyvH8/wneuoM9gyv8jw5wo5rXxQ2MN0NABB00yV2R0cHPZOwEQl4bXVWJcd8o+f5Ao9fvx4dcYZZ6hZs2aV+9v999+vunTpoh588EF11VVXqeeee0599dVX6ttvv90l57o7Y4NHNevZrK7+3a9VrDbbxLpNsfcUVK6kM19mBiAVlnjKxGRRw8Bx082qjvdaCeFo/1TRtn7N0BpMUc4lA/x0QO/XMAf81qO6qCv3b5PQ9oeFdOS8mDDQnNWx+796Y2rHCmEnygUQ0jExZel6/VvoiTb2a1usHjytl/rFkLbqpwbuKwJxt33wY9qfOcljEuTjeqMw/NOZ98nG5+4ACQC2Ka6YdlZBjIwo6fpcDyr7OJ8HWDXG+QDq8FLLXhEYGnJNEpzduGVH1mM0qiBBQZXK6hdD2qlBbYoSKOg5H9fbx/INoYW3Ktp95qmDg0N+QJnlWU9/r174PrdOCjAQz3jq+3JlO1GCLhFzk9j6eyN+cg72/Pnz1bnnnqsOPPBA/dvGZ599po466ij//82bN1f9+vVTH3/8cQWf6e4J00GWmt6dnvUigi1BWVPowUf8+zv1oxdBTwezPOM0zCkDJV57k3SyqhMWxdSpN2aQCalIrNiwRX09a5WakqR3ayWPJBqUkBEHGmMtSGQ4zMGuVa2Kusxq7WW+V5gEwkZIhidHzteOQJiaNK24gkDd9aC2xapz41jggIX8xjcnq798mL7TuquwaO0mNW7hOvXelGUZ115GpdBsZujyncE2FawlUCAYGkD/31WQe1yjasVvU386uotflhEVZK0LEyuMCowlshUVjW5NgpkrdTyG1MYMmDOydwiizMKf2ae5evD0fdQJAeU22aKggkrQpGTry1mr1OPfOTFEB4eogb30zqSlFRaYTIbHhs/TCap7c2Rtit7E5u35s53Pe26sOuPp7/MmhvxTxE/OwS4qKlLDhg1Tt9xyi6pWLbHWc9WqVWrt2rWqTZtEZ6NVq1aB2e69EWa/zlO8Gi6pxQ7SaRGjUCDOeKbfFYYRGfRk3t3rtQkA3PjWFHXfVzEKfhBWlcYMJKiiYRls1L6D7rPZG9YELWwOfuBbdcmL4/zXTEX4NV6QJJ3AhPTMDatPTEZLvOa1SeqAe7/WzvmXM1eqr2evVu9MTt9p3VWQjLGorGcmbhTNEmrSZwmY5BNbvHPv3aKuOrd/vMb44I4NVIcKoC6n6yRKIOCfn1X82l3de66ZjIlU2O5dz7adZXml6j3//UKdrRBEeQ3JELY2fDJ9pa4XllKWdGAvdVFRxAkYEwSdFFErwc4eE6mJpX9REeUd5pqxcO0m173BwSED3PfFLHXsfV+r//2QaKM8Mnyu+stH09WJj4/KiLG5u+qlsDbA/Eyn00wukOx4Ju0Y93T85ETO6tatq3+CUFIS2zQLCxONRP6/YUP2gjkFu3GtUxUxBNM09CWLQBblGK+vsiwhUIrta61cuZLOQEgWulLlSmnfjxIjYxr2GVPROtVxTQdzd3wm872eqGRDw87vw2nL/YXTfk9ZpTgNMKhXNVdvf+ZvH01Xr3rCaLAA/L8bRjVRS16v42XO7jutZ+j5SXZt47ad/ntM47Z61SqBn0UdfcS8NYFG/e74rExU8zKkBDXSPVf6JIP/TV2mzhmQvRCWzNtSw+Hq0axuXu/ZoV0aqq+uO0A7MThF/zmntw6+VK1SSQcbdpfn9cDpvXTQZsXGLRV+TlVlTJSlPyZSrc87vSmBkfPM6AXqqqHtVD5wvxXg4xlXxP37evaq0L/Vql5FNcuA1myu9U+f10fXwkdxDXNg1rw1RbWrX0u9cfnAnI7FM71sSHv1m9cn6paXFXGPf3lQOz0faNG1bWd8jT7lP6P1709+ub9qsBeITO6OttWehPWbY1ncI7s1Vo1qV0zwqKKBmOgPS0rUhi1NE+budI+ledXQtqpq1SoVFqAMo10Lsl1fXhgTE9YFf3h/mmpWVEP1aRlLpESJ4lpVtXPdtmGt3cKGqLIbzN+fnIOdDEEUZ3EQslURx8EsLt49sjrJULdumsaLF8kqqlXNv67e7WK00JbFNctd629P6KF/Dr37CzV7xUZVq7B62vdjw7a40xD2mQb1Yufdr01xyuOazvju+EyWGK2qws5vaOfGWnn67IGtyr2n1qqYg45taYoEYVxCza5araDcZ1aY0cJK8bG62RjvlatU1q/v9OjpxfVqhZ7fTK+GZnnptvixjEW+qE6NwM9OnBSPAtcsrK5qbd+9n5WJFVtj95ozLiqqFbqOmOjYuLaauXyD3oCjuL6ygthSXL+wmurQrJ6687NZ6v9O7KFq5Lke+7evT9QGxOD2DdRVL41T3ZvVVcOuG6p2B9StGxuLrN0VPYaufSPWNnDDlh2RfDfrc81acUO1Ro2qFXZN/Ts0rJDvkhKeINSrnf6+YbOVBndpEtk8qLp8o69L8djIBermo7vmdDxZKqoURLMOpALfMbhjI+1g76wUmxdmALRkp1Idd/P19qeGtG2rPQi/fe579eGUZeq9H5arD64/UO2JWO5p0pCkuOLQTuW6eBzXp6Vq2KC8Vk5FokOTumr4nDWqb+uirNcX1iYTr05Yqg7t1UJFCdYgYbu2blpPFe9GrVrr7sL5u0c52KiGg/XrY4JMAv4PtTwbkNUqKdl9C/eJzjCASko2qR1p0FkWrYhl8pes26Qmz1mpWhTVVKUbY0739u071Zo1ITXWnsGzrmRT+HssXD2krbrBM1RXr94Q6LiUeGJarevVSHncbYbTme45VCRKjYx92Pmt8653Z8C9ble3mnr7ioFq1spSdaN338Cg9g3U2HmrVVVVVu4zGwwKEfdH/r7Ky6aDXxzQVr++xetDu7l0S+j5TfdaI303c6X/HqLZgnpVKwV+dmNpnPK+fv1mtWnT1rSe1d2fzdSG+SWDW4e2css3vp0WDw6sXL0hrXrKIzo31A52+/o1cxqLMn8bVKus3rp8oM6YnvpELBvVsGaButSqrY8Kz46crwXtpIyjR+PY5r1t+47dZm6Vbti8y87pa0ODIIrny/q8tiQ+J0s3bc3bNR3UsYH6cmY8m7x/y7oVfv8QyxvSoYF6fnRMnOfl0QtU/+Z1Ve+W5YU0bdh08A/GL1QHdYxmbVi9Nr6Xr1u/Oednu8CrdWftr7B77NVRlpTGxpBZbrAxyTUhXHnHxzPU6b2bq25N68QCikk6fOQKWE3U0h/TPcaU+6khU9tqTwLONZi2dP1usx8I5q8pVX/7cIbWfLl4cOusj1PJWGfmL12nmZqwLld7OgdFVXa9ndmzcaE6tntjtX/7+lmfywbDFgOVdiax87MEopTCOuJeVtux63WS8jV/OWa6WfE9ysGuV6+eatKkiZo9e7bab7/9/Nepv+7bt2/Wx8Xx3N3BAErnPNd6NcDUN/71w+nq/tN6qfWek0ZdcNgxpOULm3m696On0a4J50+OYaLUc/qqVamU8rhQlTZ4Bs3u+ExMQyfs/LZ42eCCSuWvl9ea16mhNllqu5cPbadaHd1Zv9/+jJldZoGTv2/26vNof9atcW39erO6NbRgxhX/naCGXz8kqUAXC6YcS9R/eXr9WtQLvLYdhnAWdUtmDXmyZzVrxUZdD7lm49Zd9kw3GbWM22BdpJMsK4tfdxTnjf5BCyvqO29VaV7uyXdzV6t7vkgUTfn9u1P17xkrNu4Wc2vlxq3qqlcm+h0GduU5RfHdrM9bjblKPXa+rsls58e6Gpub+dWvwClGnJHM84UDW6nDOjdUXxhBCloFfjR1ecKeEAbWsXP6tVAvetTG61+frB46vZca2CYWQI9qrpvrZba4/7OZfhCzIsboA1/NUZ97vbe5Fr6z1BAR5TmEncej38zVpS38IKSIfsS7VwyKpB94EC54bqxmYpXtLFNHdm2cl+949Nu56okR8/W/R944NNDGqCjbak9C35b1dOs5Osvsbtf+/dy1auS8NVoH5XxDQyRTVLISFTWrVNZ7ruCJ4fP0WlZYbde5SYd2aqh/QLbPwUxMgRN7No38ma422JvYdG13QeeP3XH+7nqifMQ47rjj1KuvvqpKS0v9ll4TJkxQxx9//K4+td0CR3RupK47qL3+N9myVEq5d38+S131ygS/3698Jh2YpSth4mjrvQzay+MWJwhzBeGGQ2Ln3TmLntwVgXRE2KYuj2WIXxgT3nahimUk/OebcNE0k0puPhuMJgTLereIZ4z+dny3lIJpAlPVfYuXMeGYYfRp87v5d7p2zneeyN3nIarlFQHzHqa6LwJRaTZrpHLFK+MWqaH3fVNOSC1q/OixFHZnbDSchkzWnCgQZc9lE/SHF0XtfOo1msKULYtqVog45FYCBt73XDSwlVYUt0XP0p1blCzccHCHhNe+MDLyuZ1n5nM9nfZcFVGnyv747OgFasHazQnrMoFS2Wvr1aia1rhAcwHxyyhElFKtq+zt+YK0oMxUgDUdUIN8/6cz1K7EN7NXaR2Kx4dXrGJ8K6+F3cDWuQe1osZ0j4VJ2dxGL0GT61og/zaFA58auSAhILcrQNeAV8YtVu9MXpr1MRDVNFG/VvQaDabe0m6uRVyh2KMy2IDe199995065ZRTdD9s+l9fffXVqnv37rv61HYL0AeUPssgqBWUjWnL1qvxi0pUm+KaqkezOqpBBpNz9Py1qn2DWmpQm+JQx8x05MiqJyu1w2gjk1HoGam7G0QlOBnC2lyBGSs2qA+nlQ92vD1+sfq/ozpn5BzSNuvPx3ZVI+eu0c7rIZ0aJgY8Upzqafs29/9dXLOa+vvx3ZI6OuZf7J7mOCyp6polgLMrkCCel6agifQYlv7guYKoL9mpzcbzTKcWPBvky3HPVyuxCvavtbMouPbA6ITIcHbJHhBcy5cTD87u20L99eOYYwBj5eFv5qprIryOIJiG7uQlJWrdpu3qkW/nhWpoZIqogizms831iJyTBBWi6iaQDGa7yx5N66i29Wv5gc+RN6aukz15n6bqIyuYnk81+/3bFev6UVSM8wWYEQIebZSWwZ+GTdO/+zarrbo02jW1uARTEA/NF8sgDMKM2xUtElNB9khqpZev36raNcjuqZtjf5unGWPuv2BX+4rYRf/8bKZqUqe63juyga2Eno8uJZsMvaV87m0/NeyenkqaOOKII9Q+++yT8BoK42Swhw8frtasWaOuueYa1alTXMDAIZ5ZlomQzIyXufnLoe0yrpF9dvRCbeBh3IUpMR7UoYEa9sPytDIK1ItFQRPMFw7u1CBBSTsIydo+zFlVqp4ZtUA1D2j5cs7T36sD2tVXVx7QNnAjZAMmQ2Zi3upS9X8f/KjaNajlOdiVUhqsrYpq6E19aPv6CQsyhtnwOau143Ocpz5vwjwcKrYti2uoga2L/L7YuzOEOXFyr6Y6AJUJqkbU/3b2qo3+5o6a9y1HdtbPOx/YYgjQ7a6QVmK7wsgzmTQ/69siP2uvyh8OMOZuRRk8wkQC17we148wkW4mnftP5gYnUgJYUV2CaVTn6rSbx3pz0hJ18aDs60HTgWSgoXc/fW4f//WXxi5SrYtqlnvuNga0LtZ7AftM0DyLGtcMba+GzxmT14yWmZ2LgpEQhBUbtqoujdQuwb8+n+X3Pa9IyBiZt3pTaAnZ6xOW6IC02eqxImDOu1yCdqb+gASd92lWV/3n7N7q0pfG7xbZ2F++FusmsyxJYiYVZN3FriBBhjYCDnuU6NOynrb3Rs1fu8vv2e6En7SDve+++wa+XrVqVXXQQQdV+Pn8FHDPF7PUGxOWJFCqktXiygKGmnqm8B34JJk4U7wm1WJ509tT1IK1m9TvDu+k9jWoz7sLejaLtY8ThkDY9WIQBcHPhgREq6cu26CNIxtN6tTQwYsHTuul2ngZDZtqLobH2c+OSWlcyuJoPzOMXrLl2+30tIcyz2XASRVDr+8Z0beCyAck+ir9sDNBQVDz+ByzykPbN1DH5lEYKFUpxu4AqRtrXVxTPXte9voZ2cBkhaTLaDDx3OgF6qtZq9Q9p/RURQXxtWDRuk1qxcatWgCsUx7LXGpbDJ+KMHhgK4VhcJtiHXhM1wHCqDfXqigz2NSWEgDEgQ9ZyrKaR1DY8+Fg/7h8g7r/y9nq2oPa+98nrRQB+hXihD1y5j56X0w2Zm1Rs3xmsOsXVvU1AdjbsplLqWCOqXyVkpg6J3sLsCVoVzV12fpQNsWDX8/x1+ihHWKdaCoCUZV5PHZ2b3X8oyPVorWb/LlFK9N9mtfVCQutH7AHZGOP695EdWpUW30wdZnWWYJin4/nJQmcii7p2p2x+/E/HPKGmSs2auEYyZQJW04cwqDMpDjhzBk2mkzq+eS9U5aUhH4ukbac/Nj0l0Zh++1J2dej5BPQ6J8+p7e699SeSbPc8l4bco+gkt5+bPn2MUGbyZPn9FbvXD6onHM9YdE6dfnLExKOa0ZBw4xLqSnm86b67DezV8c+F/KIDuvcSP3zxO7qdINaHgY2rtOeHK1OfmKU2h0gBhRR+2QMA3kvdYu1PGf8LwHPKRuE1dJXNEU8KIizKyCZtYqg3ia7P8kcx2R9qCmreXV8Yu0pyt4fTF2uOjeqnbcAytrSbfo7goJf+cQp+zRTvxiSyK4BjWtXU4PbFmdkDEttsYmopgSMGmj/+zavq1oU1YiMbm7rZkQFNFDICp333Fg/g20GUAjYCH7+ykQ1en44g2ruqlJVXLOq/zzy7WAvWBPLfpYZ4qpRY0eeMtjmsdiP9zYwP0ALr42qDXOP+qyC9VOi3CtxpAn8mCVJQGbznpCNPapbY80CW+6VU6RTypgNZAl0/nUczsHeiyD9/ezFSTLHQck4+duv356iht7/rfpserggmg2ZyI9/Nz9ULEIEW/T5pFjNpKXQu14Lid0NZNfJhtavFS40U8lbuoOuVBxhjLWgbH4mBoRZSySfM4McO0OM7jN6N/edBDN7LgiL6FIPSAlBlyYxSjiO6u0fTdc/thAY42z+mk0J4zE/5ml6OKxLjEVBlk3GWBiOe2ykOuLf3/naAdlkvYNgGrpkwwbc/ZW6y1MozqeBcnDHxEj2qfs0K/d+1onXxi/W2bQwIMRyy/tTIzNyJaMArS0Vvp2zWv3f/6blJHhjAvrcKxf11/+++rVJWWcxbEVjuTdh5TJRYNKSEvU3r/7a/t58gms6OKCVFvdArjfd87DrIKMOOhHceOLs3jlnnNckOI35ucfVjQDTYm+9XFO6TR376AgdpLSnRzLjmbUYZ4hAe7O61dWtR3b212s7iHjZS+O1Qncu+MWrsS4Afz2uq6qbRHwtF5iMqlzowjYYq03rVleN61TfLYKOFV2DLYzFsOCceavzKZSXkiKe49r2yY0HqdE3HeS3D/xh6Xr1wvcL/TVoT8nGmvZ3PkQvP5q23Bes3VPuWRRwDvZeBDEUUbKlvcEx3ZokTIigFheygFXKcRML+xyGsaAi1G7zif+MmK+uenWi+nxGeL3UkpLNoerTpgEetEiF3R8Mr2MeGaFO+c+owPfyb569HJ/WPWE4wRPSMOl8iRHj0I+qv308XR3+0HD1xoTF6tUJSzTTgB+bYrfBWOxvOrSj/t2sXm7ZpFzQt2WRb6im2hxMJd4wOn+u2TABrUjyAXFebzi4vfq/Y7r4r/duUVcb3jY+nrZC3fnpTJ1FCwNCLAj0fR1RraCMVYI7f/TEhsJw/RuT1fs/LFf/+S7WridXsA6S6ROkuyoxxyhjEVAuYULmJMZrvpzeILHAirJ3goIhXOuQ9vXV3Sf3UOcPSK9W01xvhNIcVZ4V9f8xC9aqpd46nAsQ2+zkaUzka+sy56c8W2is1AWvLt2qOjRMLDVItodu8AJQtMBbUrJFB5KCAoTvTF6mJiwu8dtfZQs5F+ozo1onbSDmKe0oo2zRxfn+76r91Kg/HL5biKraZR8VoV4uwZwgmMMs7D35wgOn91KNantCvTlMvIueH6vOeuw7XS4iYG2498t4C8s9wVeEuTJ8boyBmC87e57HVkE/CFFjhxh2/crhUGEQI6VDw1q6pkvQxutZ99akpeq3h3dKyLBQn41DRk0uhk+2dWthWSDTr/iJ+9e+ounrExarM/sEU6Vv++BH/RsDyYZsFjhAt30wvdzf7YURYaHL/jterS6NtVupYRgxZiZD93s1PvvBz/fTRlqyjAnv53OMBZMyG/aMEM54c2KMuk/013zc9nnf8cmMcjXMjC2ioIgaYZAjyFOR0DXnZWUZj8E3JyxRl+/fJufvD6Jq5ou+yRy/5sD2WiypekEVdd+pPfUzqlu9IFBrQZwc3p8KTQIc9GyAVsGz5/VRFzw/TvdjzYahkxOM26DHchq2O62PzHZS9hyTefD+lGWqZkFldfPh0Ytvkp0E0LXfm7JMM0UqIqMAg0EyrCaY3lBsM6HZSvaIWsjbj+uqqcYNPYM6V7w8dpF6bcISddng1uUEIzNFs7o11O+P7aYufnp03u4x9eLUuPIc929XXwdtVpVu00El1vgWVmAymfFsCtElEw9cuTF7QSUB90NOJR+11wK0R/IFWg+tWr5B7dyyVRXnKQOfDKbzaNbdVwRQfweMuyCY4512bxUJAikSGMo24YM9OmFRSWhwr2ezOnqfjFoMLBXoJHPnJzPVVUPa6sBUFPjtez/o0sp8OthiqxzYsaFmfTjE4DLYexGEgm0KWGHsJTpQiZPv+fP7qm+vH6r6t4oJVtGH874vZwcaFNT/mY60SS8Km9NyTvTmlqjkTxVSD4dyehi6eBmPO06I96Qul+GyIvFiXJobLhkYeiPyXULRMp/JDpM6ZznYyYS5zLZTkuk0KZthgZJPjdIB3pKsNs7874BWReqDnw/WtcwvjFmkNQKmLq3YPs20opP7k8pQtql6P4SIwGQK2dgP79wwtH9llNkQDIelJVvUPZ/P0tFnestTsy+0zoT3e8ad9HC2Yd6zKA2SylJOkaYRZdaW5gLU9zFyBOl+P8q66VDE9TFVflDinUPj2tXVlfu30V0a8imoJnhq5HzdfszuSIATajp4174+ST3+3by0arCZa3yezhHtG0RzDVJrSXb27xaVfnetO5TAFl/VtUkdPVdlfWAvp8NHOgKGBIBMsN4GlX2YLJ1syyPMsU7gFeptJvjlaxPVdW9MUis25O7spwMEu/70v2k6UCx47Nt56vB/fanO+M/ovLYaS4fJ8YyhGl+RCGUemBTxCs5gg58f0FbdcmQnrZ6fDcya69++84P63tPakHtOBwNstXwxL8JA4Az2CHoKZoD9zgB7MV3YZSOpdGaygdy3XaGZsjvDZbD3IoghzARjw4CuTBsne2MMKiuVIDQOHT/Q/cyG9Th7f/lwuqb8Svb2xkM6qGu9li3hqtVlflY9mZp5PsVYokI6C5c4ckHZwOO6N9atDsgam205eraopyYtXJtAE6M21I4um+uouYH88ajOCYZX1SQZBYwMAYGXGlWrJNz7sCCI6QvyTM3Ish0xNY22n78yQddvQysSI6yiSwX++VlMhTcTytnFg1qpp0YuiCw7c1bf5uqgDvV1Df8n01fm3WinN/pv3vnBF7QRxz7o3gurIUwcbbPRA1PE36KAOC+pHkn7BrX0mtQqIjEiAg+fGAGjdIej7cDQ6uWZ8+MK6Oa9zdezNWvXj+zaWP9UtDMAaAtIEJEgA+rp4xeW6DIC7hG1epfvF8762OKNJ5ORE9l5GmPYLvfIFOyhS72sfb4y2B//uMLXwBBmmaw5rFU4oFJ2lGzt5Pzs8ckasH/bYj/oKzBLejheOjoINszzePjbuZrODuxWkmHnOmreWu3DJetAEiW+nb1aU/DREUAIj/OlFhegy8FzyHcbtiCgkcG6m8w2yidMDQATpoYLeiTM/4qqE0ebBBXzywa3UQ1rZxfQNfcynOtjvHVSXofZtSsgQmSCI7o00mt6Lqrf9pqQj8C93DeUyo/r0TiygOhPHc7B3ouAI3PBgFZq2frN6pT/jA58T9gGbQvzULdiOtgPeS0bMKLEwd6vbX1tDHDM0Ay293qq+imytDWrVtYOCPVWuyPScQzFWQ3aMItrVdM/trF6RPcm6p6Te6jtxutiVOGUc59vGTYtQSROzoUWOYiPQXfr2LBQGxGX/neCjohK/ZoJ06CRc5XzOb5HE3Vo5+CGoOaV89V2DbgJ879sKNDloWRVpCiTCTP4kMpOlnshH4nKrsZQKKpRVWdPBfky2mkj9bxnPAIi5sc+OtK/9wRAzHFAj25AKUIQRPANYPgQlMkVX8xY6dfCpboPZp/PKGD3Bk73KdgZbJuybmYS8vVst3o9zivaIJes84UDW2mmw0m9mvpr+qTF68sFcpOhdf2amgpN5p31io4GUKEHt829L7wZLMxVXf2fn85UX81cpc4b0FKdkUb3hGzwmRdsA098N18zREyWCMr09CNOtQfZe0oy7Yc/Hd1FB8dzGUd21uzlcYv1z6sX99d2SDJs3LLDfzKIK5KtDALr1M+eGeMzxt64ZIBqFdCdIx1Iffu/v5mjg0Nm0DDfNPcw1KpWRf3zpB6RtEPNBGYA/Nz+LQLfA7OEtnBkWkXwL8ieyAcow6Ejyll9gs8tHdjBYvm/zJO3Jy3RdibrmGnnViTYR/92fPaZa9u+uf+0nvq55aPcQO4b9tzYBeucg+3B5fP3IhCZvebAdklbKdmGHwJDN7w5WWd1TCCUYsJsE2X+Tfal8BrsMl8gzD6mCeo6XrygX+wcd9NkdjoOtohBPPR1uEKr7Sd8aKmm4wRJhvr6gzqogW1i9P0y4z7Xq1mgnda2ngIqKq4vXdhPZ87JFIcZXOZzEkfDpGyGwfycrr9LQhG3xwL/e3LkAv//2ytYWcS8F+nWdL3/w7LIHSWEZU5/6nv///m6DWRjwpxlYA9je+7bKDUyY0EiW9mKUYmDmuo+CJMjqu+2abbp0mQp5bhkcGt1gtfu0Ga0HNKpgd8SMV/PVlSVK5KqxxwQR+2cfi20k232W5bgLLXEgP8mu6eIDv7hyM7qzD4ttLF2xyczI2vNGFUPXTPTC520eZ5EGk2VbBTicSxMZ8+ceyBIpDBMVDOMlYKjxn6Ri/K3ed5B7IRkKNkSX5uSiSby/MxyrG0RGAaS5bf38rD9Mt+Asg7TSHqd22AeXfrSBM2Wiapns3mth3cJDqhTA92vVZG666Qe6q6TuodquuQDEiRDkEyYEdkew/+/VQ4Ha+Hf38xVqzdWPP094by271TvTkYsdklagWbdEtea0zKWGxVW18GtfAQMzPv5U9dSihIug70XIkjISCC0MyjIUPTY0DHGj+3eWE0z6pNE0EuAQJIAahU11WyOTOj+rYtUYbWQ+k1vNtLjmqy4GKBB4G8s6KkyVWMXrlVj5q/Txm4+W+LYyKS/IMaSjVHz1ujXezaN9aAUfGW1RjM3wOpVKye2rShTqqCSUkPaN9C0a54B4mFQjTCc5H6ELYLyMpFbqblFcKppnRqqTf3w7EBZEop4OQfb+31uv5bl6jaD3p9viEM1qE2RqpfCUOjVrI6atGS9rzwa1Zl++uMK9ZSl2puvu5DKWOT5VTFUvcw5JMJ39vvNv0cBs8QhlWFxXv+WOiO/YM3myO8PPZPTXUPoGXvVAW01dZhWgrbzsm+LeuqsPs3VQ9/MzVsG++qh7bSqb+fGherFMQt1u71jujXWWcl8wVx/CMIhtPb9grXqjQlL9HkI60XWbYYIz7caC1UKyK2PqnVrQga7LJrWN1EwNsJgO3oEKcgqk93n92ajZ/g/Tuyu2UxBIOBy6eDWWowOlkm+S6+g2DIXHh3OWI+/XjMNocQNm+PXlGw5sZkmUQTeJWBhr2M4XkFrX77BXIbKD/ssCOs2bfdtCew0RPFyham5kooqfZDV5rEiIOsqa1vr4lpZnYPN3JD9xp4PFd1y6otr9lcbtuzQbE2+G3bYnz+c7rcXrJzE9n34mznq2dEL1Wn7NtMCbfYakk8WRmL5k/OwBS6DvRcBCiOKrMnaKrDOYGDOWVWqf2TekJU4qms8mmm2NgC/PLCddsJFCRH849OZavqKjboOMCzCeaLXFiqdxQxDhsUUNdVkuPLlieqx7+ap96ZEk/VIFzj0gomLSzJuBUNbpke+nef3E0w49gvj1J89miWq7tB9MKgwaMXg6tq4dsLiBs3t5nenqj+8P803GIS2maomnlICyWBQozd9xQb1q7emqJfGLgr5XGIghMAK53PFfm3K9RGV7wgT5MkkUBGlQ4VzAkU/GQqszGBUe4koqAv+fGwX9fEv9lP5QDIhpCDj0qSJBm2ePGsCD0GfzRam8ZyK+ijMCmFa5AoxslCzP39Aq4xpsvJ+M0gg8Oefyg8Iqh3drbFqVLu6LzaY74CVGZDAkTv72THq7s9nqTmrS9WCtZtVFe+aTSVb0zG0QT9zSlrIxKRiQGWKZIKe2ToiT46Yr4MZ+YD97JrWqa6dPNhcCF+ZYzMsSy3XfdHAVupPR3dO6qSCB76aowbc/ZU64N6vtQBktvRm9kNTgA3gOARh5YYtOiMJC8UMACQbu7YzFEUf7HgGO/HYz4xaoE5/anSFasEgQPfL1yclvTZzaYxqlpvXOMvrSmCDzDGK/GRX5TO3DpumM+n5vkcJLJQsnzmJHZNlI8e8bL/W6kFDmb6ifcXCajEBUmyv2StL1RH//s7/W6p1XOaN7UiLPcXcogQiH3bxnSd2V4d7gdTdlGC6S+Ay2HsRUHq+/aMZKaOcsqiwkZuOmahVB7VmwMgmS/J/R3fxDeJ4f+3w77pgYCv12oTFui+nSSsOis59NmOlOrtfS3XqPs3SuFqooxG27UkDJ/VsqtVIARvNmb2bq5sOi/V5FgxtX199PXt14D2RKGBQlJwMv9R44uSZmQqMGaHPmzCPM2tVqfr9e1MDFcdNiF1hnwLGG7Qpu6e1Xc+IY35Sr2Z+xDXMCWhQq1qo4nQUhlImEEfIdqS41oVrN2sBPhnTdg/xqCLcppNCYEJ61O+KDLadNRPVeQR37ACDPdaicuZknCEm94shiUZ6uIMdzdYu2Y1MRXsocWGOVrL6zwsIWC7fsEUHrEQJOp+Ii8RVjIPNMGEOMRRkGPBaUNcCgn9hJZsPfzNX1+teMqiVX9cZVYyA8igyfbH2ZdGM0UmLS9S6TdvUOf3S6/OdCcrPxcQxaY55yips/QSwfP0WddxjI/W4g5FhIsgZ+nzGCn8ekCHNBXYGlPrZM3qXL1H728cz9L5IH93rDo7Vf6faC+z5nu04D/pcULkXewFOSjpCbZHTbnem4WBHNM9Jhoidcs+Xs9QjZ+5b7j0wG+/yaOus/Yy9D6Yu1///1xez1Cn7NCsnnhcFeFYJ7KYsJzGlc59fe4C67+u56unhc/2gM+Jc/GCbcI2mmFtFw2ZApbrUqpUrBwroUkfPesv1IMx6QLv66vge8cRWVJB13mWw43AO9l4EWZfCVKTpDUr2cd6WWKbBVB0lC2HSaoIMaVuoTN4xa+VGvWiFGazyOQTMwoAQ1tzVm9R/xy7S54/gVqrMVkXrkiCKgfAHTvbkJesDM19X7t9Wb1xBQQ65pyxUGJdmXbL593TwyrhF6vHv4pRjDH9TdTyMTifGBnXa9WpU1Zvt1GXr1Qgvqx62h0ND7dakjmqXQsAGYIhS1/+uF4ww8YcjOlU47Uw2skVrN6mW9Wr4lM+rXp2onyPR2UM7NdT3ZuS8WDsPed53nNA9mnPIog486+9KwhDA8bPHrYy7ZPRI+VtUCvBC1UxHlZxaOYABEeV4mLFio5q8pES3RkqHXocgE1oSzAWBeT+eHjVfDfthuS6fyYczJuJwfOOA1kX+uprveBWZoMfO2tc3UhkLO70xxjkUWOs0TCeCgmEQgSmcs8oRBwmO6tZY05Qf+XZuuR7SmcLcr/IVxEi15pvrBsYz+7Td3/uLmSv9jChHo1PFKK8tUZCDbS4PpoBhpsEH9EYQVE0mBChgTwSLS7Yk1JAmzWBb61i2zlZQYC7seytI1DxttoWptRBVEIr66uN6NNHPJOyemi//6X8/qjaGuByie1OWrFfPGR0UokI51kKOFy02qYhDCuLrjqpQnPbkaG2nkZw50mCMxs6lLK3xgt04flGJFvzr1LBQXbF/bD0Y5unGhOkj5Ipddc92ZziK+F4EiSyF9UGW2uygeQzdmywqgPZLptIEdCEMTKh9Aplot30wXS22FHUF0Kil1yUOzaPfBot/yeJCFoialHRYxBVdL4UzxuYkkdvqQTWGSfqm+rUyGKXGxtneq7+SzeS7uas11QdjOgy0oDEZB7YqalhkFpo0gFY+eWmstuvZUQv89hFhizxOCNTULk3iUWvqYu/5Yla5dmLAVMsWEDQZ1LY4JU07aohB+uu3f9DBIPN5AqHB2RsHYiHJHIVMYFI1cexOfmKUuuX9qSrfFHE7y0CdphgdGMlHPzJCz30AgyGoFd0nP65QYxasiyQ4gLH72PC5uoYXZHJ/7TZE2QKGzFuXDdDj9uIXx4c6BWHfX1yrqnbe2tavmaim7y1a+VyXbv9ouhZFIiAZtXMaBnrF9mlZT/erBkIJlz3Fvt6f9W2R0HIwzFDkuBJEjfISDuzQQDN+bHZRpjDZPPkyKmX89G5RV718UZyldMHzY9UJj40sJ+wXFOAy58X9X85WD52xj3r7soHqiZ/tqxXQbZhOSzLaeTKQ7T3vubG6JvRm4z6nwzKhpOxpr+9zJhTxbIN7aM28eemAhNcYdUU1C/Qcovwt1/uR6zodZu8QDH7+vL7qpQv6qQa1shelsxEvJQv+u52lZE6b0xy9HoS5ooZddpPrfnPjkZ3ViF8NVdce1M4v1Xpj4hJfcLeis7FiKw2bWl7DI9X4FvscjF24TgtDUnaYTulSrqAkiOAxcBnsOFwGey+CzE8cA9o3FVYv0LVFAjGMgpwv00jq0ayOVvU2QdaWmjQmdfuGtdRtx3RNmGhhC+FFL45PiEQ/MWJ+uQi8ee7+/3khxFBFXIUaoRN65o9mawMj9vKXJySI+RBJvMqit0LXC1ssfQe7SqVE4SAvi8c9JCAhvcVbFtXQLbj47tOfHK034efO66Prd+zjmzWPCHmFmfhslGwyCHnZbbpAsv3mPyPmqTcnLtUiG2QTpX0MNfOiICxGihyTjP8vXp2on+/VQ9pm3dcyF5zdt4VmRhAECtrDhM5rbxxRiobYxiIK2slU9XOB3Pv3rhikqXAHP/CtNsLr16qq6hl1aV/NWpWgtUC/0LlrNpUT3EHUK6qMAoE6k3lBj/JxC0vU308Ibldifl9UjiROfc2q8exmugaDOOLFNauqty4bqP9dYLB2KkJsRowy1qB4qY6qUJh7BUsh+8Ffj+uqg3ax15Jfv+9ge3TzKJ8tbJxKXklTruJkp/VursYsWqcmLyrJm1H5x6M6qw1bd2hmjTk3RXz0rL4tdOALxlHYvtLNCHpKD1xUz8OUz817bauUJws2EJiTMSdZssa1q6m+repl7KAK6yHVc0c1nfIylNyzfZ6cMywMXQJTOSYu1aNZXfX5tUNUcXGhWrNmoxahpB/5pq0VV2G6xciqJsvOm0HtKEBgXtTbU7VXFcDIG9q+gfrSUH2nHFHKxaICrDGEwK56ZaJ+HtmuC7T+oz97r1bF6rqhbf0WqE+OnJ+gFVGRa6e5l7H2lWNopLhW6VBjAi0g6PvsOVGzzEyMmLvatx8JYDrE4BzsvQiySDeuXV3d7KkM0hNX5hsLDrSUIAaJqdxdwxIqYcKK4AuRy8WeuJc5j8MMkHRpXfbikixyaYqNVRRMBylZhPDGt6bo32Z2uVwNdqVKOtAgWObdTxZg83NSc8OTQUzIPEZYm5H2DWqply/qn/RayBzJZ8heCn0v2SJPO5H3pyzTht96nekMLye4/o3JfkacvxFZ5buIulIrjgOH6nlFQoa3eX1Sh0bvyNjfEj9DixjmD0JYuSKoXU6+Mo+vXdJfbdte5mc8JBiGkaQ39u079Rh42gi+hWaNduzUqtgAA7t3i7gxnQ1mG8yG1y8ZoClzX80KZ2qY4zxKMS+z/CTdw4p4pCmeY0LOjzmFgXf7cbn3OLUhRhnPMWhM5wPMeZSOGT/MW9PBJhNGQJes5F2fzdLaHdAX2YOKQjJuMsbQO+jfqkjdfXIPHfyJAqw9OKYvXtBXdWqUm2Ny/SEd1MKN29UJD36TN0PcbH9pQrJRfVvW0yr6D309R8/XIAFDs394OgJU5jxKhxUCA41s+oEdG2rhTTuY1LxuDV33+e2c1WmzTOhY8cL5fZO2m+vYqFC9c/kgFQVgVCTrOQ0zLRfKfDYwn2XYHGb9JeiJzWCLiWaL2as26i4Iyb7Xtuc4V7u7Sz5q1VmXC6sV+CV22a75BI5hXVWpkhiUkflxw8HtddAGe6miYAaf2Eu32RoDWVwrxzzDa/15pxekzoeDLfbl0V0bha5ZeyMcRXwvgkxXsX/IFtlzDSqxaSBRizPihqHaIAJkvicsKlFfenVdoHTr9sDJltgbOeSc0jT+7M9XdCunbBykIIhI1rPnxShwJoR+a1P4zx7Yyr/mjoZRKLRiNh0/0yMOtuXkC50xVfaMiOf05Rv9a3p1/OKEv4dd5ZsTl/hOPqdg9rK2F3Sb2fDKRf3Vo2fto78bRV5zbOUb3HNEiuTczcBNvKVZWbnzruup4ifr05oJZGM/0ggsZFtTmE47KUReEA2EecK1wIS4+rWJ6rznx6oVG7eUo8CK8WQb6GY/bdRXWxaFt3JLBzWNjC/UTZDsNphG6FVDyjNfssFn01eo+76c7f8/3acgPVnrG/oKqPAe/8DXuvQlgS6eh2er2+N5x+V5wTKi3rZzjo5kKsxdVaopgk+NnF8uQw1dXiBz65+fzQxsUxhEEUfkjIxIz2aJrQuzhRz7nGfHqj+8l3sJhlxqRdMiZR2X8S//TzWupPUiWS2Uz2Er2TD3VpOdEgbWbbYbgiwC2X9wqD/+cYUviiqtzZLhnclL1c3v/qC7KrBO5RuL1m1St33woy67srGudJv612czddAcAVcCGhUFGat9WtT1GTE2WH/PfmaMOvPp78t1dslni0T75f+OXazLAkxEVT4VhJN7NVO/OqRD1uuC2E7fz1ut/vDuD34XAAlQ0lKRn2SlLFHDVM+PnUt8b8M5TnUuQZadmQUXJmRQmVeuEJtfkjMOMbgM9l4E0whgMRYVSBMxJ65QC/FgZGLk42hIffa4RevUiHlrdL0t/ZGBHZVmsvFdvzmso08LDG8LFa8FRYQlnXNPdjzwx2HTtAFx48EdVO8K2hDTbU0Ry4wltogwBdBQWCVjCnWfzfO/F/VTxUWF6slv5mgKnOkgm9RtMkWx/tMqgaIHBRjKvDiLqVoOoX7uX1NAJr5RiAJ9WYihHxQMMf8L3f2cfi10/b58Xz6cjzCs3bxdXWJcs8nekBps6tnt8/71oR3UH4f9GFnm6o6TeqiS0m2ahu2fSx5vA3NN5iaUZmpope5O9t9So24/9reycjWU8n+US6OYa+Kgs76k06LJHCthPYAzBesbpQ6CdJ0nMXBhBlz58gR9j2VtnLKoRA1sU5TXZ2saxszzIe0b6J98Q9hLUrt/Vt/melwg1EPJB9T5UfPW+PPI/EyqLHw+12kU3bMFRurK0q2qxKPx5muuvj5hsdq4ZYcWZzO7LkjAC82IGgVVfME1e+1kHySAOLhtsRaqpJ2jMI7u+WK26teqnmYXmDCDjOk8A5mzpnCnnAf0denjm24GmIDN8DlrVLv6+VfaBys3bFXvTVmmWhXV0Hsw6w5JhEe/m6fPf4Znl5w/oGUkfabTBawNAmTom4Tt26YdRElRFOdnBi3Dlj67jDAoYAaTLWpQxkUpGqwY0YvJZR1gmFI7zLkiPCnXbncLqQiY6yNrOc+SVpEw+g71WmAlw79O6aFueDPGkAyCXFM+7CsJBnwxY5WqpCppH8LBOdh7FchknNWnuXbuEC8S4OC8OCbW31gyj3btm534NJ0ms02L2HgYSWzcZMh0C64UGey/Hd9N1+mGGbOcs9Rb2d9v439eu4gxC9dWmIMd1E80CHJ9Qcs3qo/8AF8BmOBD0zpq+I0H6joh00A0+/7iQLNwyv2UZ3Jyr6aahTBy7hotvERW4KpXJqjrD+5QTuDKvvd20ODfZ/RSA1oXh1xX+g62/eQwZkznoCLZCfY12gaLmaU1/ybnGNWp8ix4vmSDBBw6qO1OLsDZgSVgiiMhmnevkbGVazOzTTKe7HEu/8eRhHnQrkFhQr19ppDvoeXLWv++h79fovGsPVGJh5UfE6k/w3OSLB0ZbMQYzcAjj9Ac1/nIeJqGcT6c01TGlTjYlw5uk/D3pSVb1M3vJmaLw9r9AZwKaneb1auhlpRsVmMXrNOZcLQccgH33Awa5jJ3UbumfIGA5wsX9lOV87RkIRRJZnDfFnUtBzt2r+/4ZKZeJ0QXwTaeCdjd6YkUmlRnqVe2xS/Bm5cM1AHaolrV9Jz+vw9+VL8/vFNodiquxBw/lgR4MeoTsmgFlbVoJI6DKWYZC98prd8hDv4LYxaqejUL1MWDgku+2NP+/e1cXX/OvaHHd9j+lAwS7IHFNPier9X/rhykVpVu1ffOXFKgulckoPab9P4gmI87KsfJfF7U1AahQ4NCde+pPdWfhk3TQYggrDcEb6MCQcx3Ji/T+gE5OdhW8kDWMPn96fSVavT8tbp7iLQKzDfMgARreb9WRfonXRB0SAYo+2j0yBoQJWTuP/bdPP3bOdgxuHz+XoT+rYvUrw/tqE7omdgDb0FC+6bYwgMlnAn54bQVun+yGIdiAAeJC5kiI+L8xVVggxd/OQ4UHZSlw5wJasapt5K/piOEaLcNyyeoabVh9yM0F/b7vixPRzMhG7vtbNLqJziDnfh+2q3Rv1ki2qhzQzOjpuj7BesS1N4F9v5sOxp2T9PEz5rOQ+J5J6OIA5x+85Xtu4mDLQYt2VRgDqc/fzA9of93FCAbJX3UBWV5iJI/9/1C9Z3Xdg2YrccAz477ECRIZN8v8/+osOdK76f28rDODf1MshloCIKINjGtBtz9lRq7MPFaojC+0nGGuWcXD2ytHQQMHbseEUeM3rAIE+Yvgx1/FmGdIvIBWevD2jBK4ANxRQzW2GfCA5KX7ddG16dTA0m7Hxw8U4wzW9jaGLnUpkuAoLiwmt4n82VQCtXaLu2R/8sVUH9L+VYHi1Jtr6XyjKT8whS/FFAbD/OA7/jtu1O1toZdKhTkGJgUV/lek9aKpgXsLDLalBSYeOqc3uqB03qqXw5tl7B30PYuDDjBIu6GDkCyNp/JYAcZOPd4y8z4mB41f43WTqhI4FDCyLvdYAGYCAr65gqp/cVeJDgfBAT3qKunhSVCfIJDvPkN1m+Jvl5dHGCe94H3f6MDIqZ6dtrH8a5R9IRkPZI1AtFTGB5BHVCCnhFzJB2F/GQwP2+uVeypH05dnrKbha2NZILtoLBagWZDRF0jXT5wWbHlMrszHEV8L4Rpe7GJmpsIi/TMFRu1EV7X2xypobrp0MSWJkEZSjZvjHL+y2Lx7ezVqklt1CXra4cvCDIZUZwmSk/vZaLWYY727cd11X+rncf6nqgy2NyLsAzkJ9NXqL+rbuVqP5eu36KpriIC9r8flqsh3ZuF0ojC2mqgxM7PmAVrtRp0nxb1dE9rv644YC8wHQmYDvs0T6xvStY31lxTd6RJEactF9Q8GxXqYBvPDbEgotUYzwSLxGERZ6mwWoG6fL/WWuVazjCqU31+9AI106t9N5FELD9vWgE8P13mEfA324igzhdBGIwR/dkcbwhlJ4x5Gxw16DZgsKOGfvxjI/X/v529RvVtmX7UP5nxRYDlpF5N9XNPBdbQy/ePZ25NSidOxm8O76gFwFgTUNfNhxFCZoIsHk4Z6wHt0/768XTVr2WRuuvkcAGnXFHqKStLZoROB7CI2DeGdmigjuvexB9Xfgu4NI3RdMoEsh37uQxVCT7ls84USDYXdWtbRwEVZQlc/GJI20D9A3s+VhUHO0kGOwhhbTYB+4tA9ruW9Wqqiwa20vaFCHbynXLfWljnimp3psKFUfVENplg8v1yDjAnlnmsufu/mqP3RWpzKwrcL+ZSzaqV1S2GIxu470aWwU6fJk2GtW39mK3Cu+84oZveI9AmEZ2SKGEmeDZJcDWL65ZrpOPK5m1b/LJGGVOsUzCQ0ll2EE5E3JcA+bUHtVfZ4oD29dXw64doNXCet+AvH07XLAHa9CWrw35udKyOXGAyPj+4aj+VL5RTO8/bN/304BzsvQgbt27XUV7TuGEjGT1/TcKGzvuIDJt1wqfs01Td9+UsfzKZdVrQdRA4wnm78a3J+jtYsBAq4fdtx3YNpdmQ1Xl5XCw6Tk0r+PraA0Jbbtj1YrtLBpu6S4ycf3uKypJVYPFPN5v0yvjFWtmy4XHxYMScVRs1q+DXb07WLb5wkgW3H9vV/ze0XFqq2M4Y4i0ssvQVJSPkO+IB7pO5T/38gLZ6MTcpfhe9ME47HGSYbJiZXIIp1PXOWV2qM3oHdUysA03lXFQoRdzbaNmM0B2gbzfj8Zlz+8QFowzj1q6Fi8Lw5xj/+mxWwhOBfsc9pFYySjXWdFWEpT0Po4VWQET0QbN61dXkJSXqie/ma3Eg6PMEJlgfqFvOpS8pIkm3DpsWmAlIFmjAEeYesWYJNTWKYBnaBWEZnFSQoMyjP9tXHdyzmSpdv1mXAERJ97fBmnl8j6YJz3HDlh15Vz4Wp0kcbHQVmPugTXEtJVOGcxGdjWQUcf4mbWXkfkXRutV2sHOZu7KHbtm2Uz05Yp6qoiqpc/uX7ymdK8J6p//fMV10kBbQ05tAF/sD87Rf6yKdXdSf99YwxBNP691M7dO8npXBLj9f7vhkht4nxhvZ2mTz2lzPmbuMQ8TJoPASpGQ9Jbvdv1U99fmMVYHBWt6Hg2Jmj1M62OUCJtk9T1tDZtqyuHZCj+b11GX7FakPflim9+Z0AxJRgFrjR76dl7ZIbBRrH5DAMomWGSs2BKrtM9ao6ScZQlmQBJsYN6wDmdhpue5fH0xbrrPtmQInGrYG1yLz4J5Te+oMPqUH7G3BYeZEiE1GSUuuwL6Qcg9EI5/4bp5vf6V6vCRTTFyxfxt12wfTtbAhtjwlV29OWqLX1ig6nwiwEQkM/O3jGTph4vpgx+Ec7L0IL41ZpB4dPs+n6QkwfAQowMpibk4UFs6wOtnCagWaggw+umo/vUhgEMjin8ykhLJOayZT3IlNzHaw//lpTHmWRSNd4Z6KlKmAUketGJQ2cRAQeTPZAVJfOGr+2sBzE4qbXSODwBybOy26qE0E0LIQvhE8e17fwPMSw4w+nnd8PMM3cIMWa3OzFj+AurutO2Ljg+y6mUFP/GzsNxS/Cz3V86B+5mBQm2KdbQmrGarIDLavfuk9J9EioE5ZasvYlG44uEOggx3FqTKvzMOQkdq/bbEa+K+v9f8/vmq/0JZGeclg7yzT5Q33nNJD3x+h4NH+juzwze/8oFvuCD6atkL1bhHLQGEQIlD0n7N7Z3xuv3nnh3KvfXPdEO1Yp4pR7de2WDvYyVrkpQubuZAOKLlYvXGbfk4YMzJOCI5RWoG7ibGKoBJ9iTtYvcTzgYpSuPazud66ldAHu3Kiqjit7VLN8ZP/M1rTLmnTFGUGG4P65we0Ud/MXq0FDHMJ5Mk6yHU88OUcPV/y4WDHM9iJY1Hoorza0NsTCKTAPPtw2nL1/pWDvfPb6Ts/JrMjnsFOdC65z7DJbCC+GQbzNrK+mHs38+CFC/rqQAEq3VL2YTrYnAPrBjXXjJ1jjX2tzNuXgoLldiAu2+dpO9i/M9Tlue+n926utmzdoffgimzTZfYgD7u2fGSw0a2hLAodDEoEaJdoY9aqjeovH03Xz+tib7/Pta98tvvXfKO1Y7rAVrv8gLZqzvqt6tR/D9djiWCeBKbohw3SuaXCyolaGI1ggpkdThW8Np//LUd2Uq2LY1TwOtVjz2Xt5m06AYTDHaWDzX1jr5QOBbtZg59dCudg70WQ+RlmON56VGe9uEokzBSv0HWQKvVibi6y8pZF6zZrozNsAbZPZ9P2HapIJToU89aUakrc+1OWa0cUgzpl24KKF4LUNUlQhkD1AKGh3x7eSZ365OhAaqGZCaKWiYye0NEa16mmHWyhjofVOwpueX+qdqaldcaKjVs1jSlZtN985VmPbvT0OX20M0VkcsaKjaFZAujeUMrTybaS2Xjgq9nq2dHl6yppX1aYBiU3KogztWHrDp2RFRCZtw0dIsBm+yauV/q+5gKboshGat5l+spH7WCLqJANskyNalfTc1UCWYi9gAJvQpV4xj3iiNRz4Vi9/8OyhNY+0ks7FxzTrXHKcY5uwyPfzlWfTF8ZWRZHsiTQYsniwA5JdS3QZMkWoNb8wGm94m2UdpapsfPXqAXLSnTdPo7jI2fuk5F4TbqgFpasY2H1mDPlq8Ln2eBh7vdqXlc18Vo52n2wbefwkkGtdJAtDL6Sb0FlP4MdhdFWWK1AC7DRW5s6YOlvnw2gwYOWxTXVyg1b0qKSRpnBlrpn9kB5zpKVRpxRqNqyT9ufD8tgm2OFuWcHIJM9L5xwMbIJAJABJPAg9xk7QPD0yAX+HEAcEOdaf78h1CkgSFU5wGaxna1s2TN2m1ETwj6r6e3XptObb6RT12oy2qIKTLdvUKhO37eZdrBTdX/heUkJQC2D1jx+4TrthEswPZ8OdrrlJkFAgT8oWJNKOyhojqbq0JKOoOHIeWt0fTlllfbzTMXQMIPLMFoQARRBRiB7qW1vRIVd1bJwd4ZzsPcihEXDBZJpsOcHm/MzhrjW/af1TFA0xcD4avZqnXk7zGgnIBPt569MVA+d3ksNtIwqUd61xTCCxJVkrYEWxw+9k1M52BVJESeDBRW7Xf1aur0GxkWQUR5fhMofQ7IJiFWIAy7HaFS7ut+fOp1rwzmYu3pToABS2GLNuCDDw71+fvRCHa3HyaF9BRmbmIMd/H1BipfUlOPkU1Nuq7kHiYeQne/WJDo6dDqglvGK/dpo9cuTnxjtv26WR4hxajtvZGGiaItib+4wSq5+dWKgsx+V88jcEVEiKP2imP6LIe0SyjkI1CB0KNfP50VdnOeNoQ+t2wRjn1KRB0/fJ6Nzk/p2cOuRndWJvRLFGIOwpnSb71yDKDLYdDQgq3XOs2PUQ9/MVa9e3F+1TSEMIxlN0a2QcfGHd6eW62+aL4Xv+WtK1Y1vTdHlDghCRpn9TQYMaNOITnCwPaq3iUsGt0kaODGdOrubRRQgaBmUlcsEKKODVvVrqfEL1uZN2Mffsy0H8/6vYoE+c2zJfigaKATJxEi393xqi9nHcTBMnRAzcE6gl+NcOri1DrqFQfZr3iPHidX/z9Bq4fec0lO/Rs9iqRs393ibFfW7IzprZtshDw737kGwoVpOoDJLP+vCga3Vqfs2V6c/OTohm80YFWFP0XxJJTQVJcw9m8cSpOfCOvP8+X31c2pbPzpH1tdqCRnW9poCK0dYXoAWZ7AS6R0eqYMd4EznIi7WqUlt9dk1++vgMWPy42kr9HOPrzupjyEdOf71+Sx1rKc3kQ2mLl2vafeALhQnWOVJqRgKZvCBfbBb09p+0BzU9hIXBG64Z6mC1+mCgADirARkgMtgx+Ec7L0IsiiyaZB1YBEZNW+tpv4CKTW1jQX2drP2aECrogTqM6IMf/94hl7gyfjg2CFwYk60IPuDzf+oh+PtwgRBaqD2OSWLVlMnTNT7REstPZ9gYaSvMH1Fxcg/59mxmiorYmHc/3VeK58gg0yuG8NI1NzFkUbV3YT0JRdc+/ok3dcV9V1qeOxNx9yYwqhMRGClxc6r4xZrB9vPgPiZpPD7/s7kpeq50QvUgR0aaMda1Kkx/EwHm2OKoYB43qfTV6ixC9fpGuiKBm3REKeipRsUQEHDwvj9lo3I3jjCAlVRGA0ovQsQ/osKWzy1e9S6nzqnj/73mU997zvYUp6wYsMWnbkW5xo8OXKBFluSLA6Za/lcmPBVJujRtG7CPcfAROCFM/7DEZ0CGTDbLKvaDiRlAwkwMG618Z+GkSUZRcko4VSc/cyYhHZoQcGbfGS8JJMSZfY3E5iUcJaaWtUK1LUHttMiUfq1JPOGNTIogx2F/1rqsVQY46mMfs6jLEkgk/UMdkLfdvXVuxMWR672LyAwzT5pl9PImnTToXGnhqCsMFNg5NTwamHZD6T9o4AxYveNHzF3tSquGf8ehJbWblLqzYlL9PeFtcsy9y1BkGOPRslOj4Ju7t92RwvWQ5NlF+ZYYIMQ1Idph95JtoJzMUe6mjq8cyP19uSl+jUYZP9CB6O4UK1Zs9EPXtjBsnzC3sO5DUFbt91uM1cQ/JaSvbDgnP1IsHH6GHt8i7o11PcpxPGyAQ4s9gWimh/9uCLrDDZ2yvhFJerc/duqgc3raH0M1gZo77A7pO48neCkjAnGYS7MrdWlW5MmmjJxsJl/lIISfJG2meb8IFDEmI8CMPvEub7tmC56LjrE4BzsvQgyP9lQfndEJ/3vM56KZ+3+NOxH7cjZawpGhvmSbSCJ08XrUFwmLVmvjuraKPE9KUS1TAQJ4NjvFQc0CLccWV5tM9+Qxc100gA9P8XBxgC+6MXxoZuCXDeGjfTynu0Z6GYGgTohW5UdqixUIDmGncmT80PJmAxdKsgzvv2j6TrzIFm3sP2G+lJUgwmudG2yNYFKZ1Odzn52jI7QytiRYy9Yu0k9PXK+qluzqjp1n7hyekVADHki8WSmaadED1BEg/x6Wuvi352yTBuuYYZnukgVgY+qvzPo37qeeunCfgmGL5R9hA3J0pIp49lNX7FR/el/MdFB26E9Zd9mWhiG2s8/vD/VZx/wefQFxDjAIMjk3E3VWVgc3G6ZBzcfltjFwD8fY5xfPaStah9hbbOceTpCN2JkCUXWpJ5qHQPjGdM/GXXtuyNW9o6r/1a2Ogvk18P+ZvYqzVro27KedlyrFyRSxNlvEIsTBxvhPjKoQRTtGEU4Hgjs0qhQ/fW4rpEoEhP0u+LlCdrgTJXBJivzs2fGaDo/rW1kHYPJBf2edfSYHk3U5sqV1a1v5U+YMUyxWgLcdicJygNgwGzYvF3vETjXIpqUDBMXl6hrXo+VNgkk2MazRYfh4kHBnxVH4J7PZ6kDO9TXrKC4g52opo/gJQ62OR/M/r8yjgurV1VP/GxfvX6EOSyX79dG/0QFVLqZK6zr7AMmZPxVpINt20GcWyyEEgf3ccXGLfo+m6zCXPD2pCV+iVg6td9B9gbCtwBmWN9W9dSKDVv9dpe5gCAOPyZzbHsWQVWE7CjrObhbE6Wa10lotcp4ozMGe2LnNIIXjA2uDzz87dysEwVS/iew6/2TLTGxwGTsDZRloOFiB1+YS/wNlgYOdhTsO1MUFJsplwz+ngjnYO9F8EXHKimtBPzD0g0JNOIyj3JpZlioqSWKTnYS9GpWV/133GJVVLNAHcPiZCzCYkxJHXXCd6cQ1TIRVOdkO9R2BpsF48IXxuleoDeFGOP5RJg6s/TptKOhUNzteyFOt9QFARwZqakBJuUuKKPt9yu3am1l8U3m72AU4dDzHMUxQgyInws8UYywZ0ZNndCbuE7TqZYapfiNiP+T8+V5kTFdUrJZ17FCs68oB5uoMeJURGEBTrVsEgSLzLFnXkWb4pqauUH/y9wdbK+nbs2qekMUISABrAdb+C5bFFYrUB0bFvgqpTxOlN7pa3rB82M1hfPeU3qWm1+yMT81coG68ZAOOiPJmML4lnWCzII42GRuD3touHr0rH3TyrAwDtAcEJg0vWTjTsY1CvkX5fgcBNwXsqiiQZGO7+RTxA1HUOimZMRNIR4Oh/EWNWxxNrJ7rNftG4ZnFFg3eba5qJsjDAjb4S/HdtUOtpnJlHFrGuqs09TrIgKZrN0hgQLa6ESlSCxrNBk66P84JEFrKWAc8/zoFy8ONt02EOM6r/8OP1sXL6vKzMG++MVxel0d0LpIB7vO7ddSt6lMVyjKr/G3nAsCPNrBTmN8sXbhMFIGRPbahhkcYx8LaznJ5xGO4w4g4oeDHSYUKMEf0yGzKeKPDZ+n1m3epsdIFC2xqEV9YsQ8tX+7+oFr9YtjFupMK+u+zFnWQxOM678f3y1v7JNkzADW2pN7NQtkTLHOMp/Afy/sF4l4oln7HTaq7fH+xsQlOugkat4mY4ISQcA+EFV2k5ZW2AtfzFyVVSmgBCO5pbd/+KNmaJ6xb8zmIKCOpkS62Ld5Xb9MSey1TMH9JKhnQkqx2FtpDyeZ6CCY8+ndyweFriO+gx2hloCsq/kqffopwznYexHExmFBItsoiskmMIRYJO88oZu6+d2pOotA5FkMidmrNqp/fV6iujauHXewveOyAUjNEpMOA+ofn870vrv8Um0aXSx0/JcoZ1BkLVUGe9gPy7ThxA/ZL+qFUbPOh5hQELaE1H6atB3zlJvWLR9tfuysfXU2AMOYCDrODtlCcbCTqRrbfbDFwLlgYCvVtE51rd4LDTtZRnH95m3q3OfGJkSgBRijbI5h/czNq+cczGdr03jNsXDvl7PVhMUlCc5VLq2eMgU9lzkHAVlb2sXQpkyCI3I+clpQyGBJXP7yhEiooa2Ka6nHfrav2rGjTEf8bcCKOK5H7i1AbKddWsod1a2RNijFgCM4kizr+dr4xeqwTg0TWBV8xqa0sZE//M1c3XIsFaCJooAsYB0xjfkwJ3eHN7bMuUEwkHXg7L4tsorSv/D9wkSBx7LMM9gIr8kxaN9iK93mI+Ep3SAKvXOAxvzkOb2TZnTPe26sXnNxjqNq00V2vlVRTXV4l0aavcP9+3p2ogMXlhmTLBLIVSQv2VrM/pBMsEqorTBtaJf0yrjFfnnPlzNX+lmqbGj4zC0yaKaAII78xYNaaQ0EMzNH60bmJQFHsywL0UmARoAZWIpRmbf4tcKsYTgiOF62jgB13ATIEH0LKssyg3qM5c9nrtK0U2yHsQvWajth0uL16sKBLXWWHGdPgsQiaGZnVWWNIcBEpwYCKiK4Jhg1f40W5xyaZreQVHjomzl6L4USHORgfzFjpRq3qET1blFP/fbwjrrU7dlRCzQz49h9W6ijOzXQ95XxXJGgjGfd5jqqY6PCBDEzE+baxHqOk8ZczsWRtWu/gxCUTnhvylLfwSbYamPNpq2qncrNwcZOQIR3QOtidfWQdtrBzkbcTVhjlK+8Pj6mmj9t2fqs1MD/fkJ31X/CYnXHJzPT6tIRBIJMck7iBLNvkDg5pVezhI4xQYB59u7lA3VwBBZLGBjHZMqj1BKQ80aX4suZq1TzetUDW7vtjXAO9l4EImEn9myisz1mKwr6vb41aYkW6RJnwleg3ZmYIRWb13SCzAy2GEVMdCLQOL5E6oPWQNOI//a6IdpRDxNeIDNEhg9RNGAvqkLjpQZa6E1keyvKwaZ3oglZJE36r6kNbS/h3DuzhkmigWLAEX3nHoVlmiQAwrOAzrfaq409rnsTvdliICK+NuyH5XoxRwGaTcqEeUvNaDn/PKN3M3Vmn/BWLeZGz3M16U02fcweChhrJtKhfH03d7U2Uqn1zyX7tjlAUZP7g9ozBhlg3NkMEBn/UdBvcYgGtCnWdWAYg8myerkCKigZHVTpBVOWrE8QeOPa7ACWKf5DkMUOgmBQc2wbQYGkIKzblLjhEyQzY0FhTi5GDSADgYFETTh121JqIZoCufVLDn7flCUlOjgE62G9lcGeZzCDeraop0Yabc2SXU8uoMsAKEqzZh9HCVA/l4uDLY4q9xsEsU/Q6EjHwYZRfHjnhnp9Z01cU7pVr2eoONs1w9lT6Cvp/SnZMyAoCaREwQQBBAGBqf+c01vtTCGuxzpBlpfANOM6yCnYagQXAM4qtabgJDKYKa9Q6efI+tTco9+/PmGxemfyMl3/bDuXcSXxHf75sC8wnnd49/+kJ0b57yfwSPeO33u2w2teOy8cJ3/f9/Y7SpbESTRh2gfQae0WYFfu30Z95gVbOXcYRqfu2yyws8TD38zRa86qjdv03nrRwNaBfetT9a6Wtc20iWRN69ysnlKdonH0M4UpGhYGcxhBeQZ/HDZNPXd+cNvOdCDPkKDluf1aBL6nZ9M66o4TuukWjfK8zIAMdhwtVWEjCCpF0DiVLgn0VSdDO7RDfTXihqFZlVBJEKFGtSra1mH8z1pZ6gdLv529WmvaEHyy9QuCIPZntiKbfJfYGtx3xiQBYmHPJAPnPmfVRs38s9vC2vjj0V30U7DnZS4Q+wSb79dvTwllJ+2NyMrBPu6449T8+XFV6UwwbNgw1apVdD3YHNIHFB5+zM3klH2aqq9nr9LOtUnnJWJKJpXe0/d8Mct3uCVLYhoIYoyz0MVbAQgFJ5xCZyY2qcuCIhe2oEgWjPpFslO2fSJCbahtx1FxKuJ29g4aLYZ+goNtnDOqiyilhkECGua9LdtZSdN4yUbTo9h0kKXUjYAGNWSged3q2lEBOMf8XPP6JG3oHdY5sRd67PziNHJz08LZT+XEms8jljXZkraCuZktBOlEpK/16gU7NSpMuy96EIKMr7cmLfXPASNUMkRyT8j2CO0tykwkUWWCUTaEKhYFaJ9Cllz6fYKHvk506hlzyWpKYUKc+Pgo9d0NQ/3XyPTxQ1CL8SVAgT4dmLWNGDwYa+lksNnMv5i5Um/y5z8/LqG/7vrNO3IyMKW8IswPEz0Fstb0ym3boJbP/CArPH3FBn0/ehtBPjI8CAjlI4PtO9hpqs53blSYoDKba61omMgUz1EYSqJrsD3kpkIJJyMkYK2DSYXxuN/F0TjYsCO27tge+gyggqOAHQZTZR+HsW+rIh0cS5V5o6cwNM8/H9Ml8D2l28LXQZsefNdJPbQ+xp+PTTyWTRGWeRxEL67uOUSXvjTez25D75ba+LmeToa5VpINt0HQVoKQst9RPgPaeL14BZQ/EeglSAcjoMyjmDNP0H8hWytZfbRc+MFmKQxwsNGJMMUgZfzbMBXYg2juEgw225IJzNZLOLAEXg/p2DCytompwF555yczdUDzxoM7lJtjQQFeWwA123nyy6HtQtdvGHWH1Wmkxw2lVDiEdhkTiRyCbsKOCOoOkynk+TA2B/3ra22jfnL1/lkcp8wQuKustht7LDbu82MW6nX69mO7puVgS0Ik2ww218W8YA7IXihU/QmL1qm1m7arHs3qBDIIb3hjsi4re+3i/rptZjLwTKJGOTV/16YrNwd769at6pRTTlF166ZfpwBefvlltTOCPqUO0YGFwTSmqX0au3CtjjyS+SSLR8uNEyxFbjPDJdks9jG/BnvrDr1AUbOEEWxTjs3Pgbs+n6WuGdpO92BksQmjRBGJJ2NiL3rSl9RU245QGyolzAyfSVk1N2xz4SEKazrYZGpQbOZ+YZyTtQHQoc4yjsvxgkSxJJAhzjV4+/JBOhgxat4aff+pI/PVwANr4mO/MUAQFoJGCWU6nXYO5jZvOtegfD/H2G8Mq6AMUSaUryBqYyaQe0nm0awFlNdNAwvD863LBiRke6PIRM5fVar+N36RnwG0YYud5AKp/TXnlxjaAoJvtC5LBgx202hHUZzzZKxAC5ZsdlhJQTIHm0AQNe5AHLOwu4wCPKUgGBi/emuKnj/Q6aCfZqMozmckCYFxyeNHkCsZmKtkBkwRH8Sc+CkoqKw2qko64NahQS1tZLIu5iODzfdxv4UeimGGU0e24pEz900637MFc1X6rErdH9f4zKgF6utZq3Tg4ZR9mulxwVyVvSaZSKWJVEJt3EfWUkpqUtXriiFI0JF4bNgxMWaToVkGYlLciwe/mqOGTV3mOyYiiGRDgtdhJVT2sz6ww+CUz07W0qAsX+uimjooxlsIZEhwRpxQmzmDVsSSdcE1psIsw8Hg89SUz11dWo6Wztj88Kr91I1vTtYOMqCMw6x5tdf/sP1AnifXFtQ/WyAK4NRQB92vjd59N8WqBKf0iWdwacNEVrt9g1qqqFbuteHpoJJX3wxgD5htUEHQraGHci7YlkFfZwI6rHskSKRXuADW3VuXDVQPfDVH2yCU7pBEKQwIlqQLeeZfetl6Ozifqe4JATLWJtt+q5yBwCVJD8YNSSAJWmYKhGT/9/PBmnm41utcgWgYoISNwDtBNea9jaketZ33pHKw8wHbwXb+dRxZj/RLL71UtWmTGf3uww8/zPbrHCIAmQY2K9Nhom5CelNKFBihM7JU8j6MHBb3/4yYH+gcY1D/88Tuqm7NAvWZJ/aAo36V18v3m+uGBDppOPdQuhBbAQ98PUf/HJhEYdfeYAAb69SlsWt4dvQC//UKbIOtBrUp1tf49KjY95ds2q4Gti7y6yFj5xn+eYzUuz+fpamJpqFuOtM3vT3FN4RsYY8GXkYAA8IUy+B+vD1pqS4DuGRwa/+eBBkj8hq2GDU0YthwXTwjjGbERYJUMk2HAUVpNl5aweHUI/xh9l1M5Vyko8gr5QK5iqYIRRxq5MtjF/uGomTl7MyPHaWPIhM5ZfE6TaE1xcCInN/i9ZcOUtXPFmJI0CsZCh8Bl+EWfRlILTiZbpxOES8TyNggIj5l6Xq9BuDkQgP841Gd1elPfa+d7nRb50hNGCUeJjVSG8S0TEoyZjCSJKDFeUkNXTbZBDG2wTUHtkuLfihjJgwti2up8we20llOoXHmI4NND3mzjzz3Asp8WLBS+rpLbXE2oN2NgGwSYJ2QvWIhfZ4MSJ1j2Bzn9TJj3vm9vEO+nzHHuglG/+rApOcqGSGhRofX9Sd/OI0MBxvj8qUxCzXzi0CyvV4sWLNJ11ELCK5ICyQbdl2k2eoqyDEMeg1HBhotDiuU+iA1b8Ftx3ZRl7w4Xu8pwqyg1SQZSQLVBFj993rtd4Rh06tZHV3SJOVYJq2d8zq3f3LmillOInsc2fF/fjqzXKlJ2OOQABqBSYITpiPO36ijx+GgDhzmQNhaJJlV+9mxRnZpWke36RIHfNG68qJs+cKJj49MuHaCZaN/ZTvY5W9ONjXJQQFdkhZo7pD0sMGzmrS4RNsd8RKR8veX9nJ/OrqLGnD3V+rT6Ss1Q4J1NVsErek3vDlZa6JkordBiz0p8bBt0+O6N9ZlByBs20G/gvZ17KEkMdhXCQonMigzAzZdw9rV9Q/4zTs/6PK5uNhmSJDR+02GOx0GG6xUbI2BbRJLBLPFsd0ba8f/yZHzta6Ty2Dn6GDfeOONqlGjzAUfbr311qw+5xANiIQRaWRREEgkUMAclvVZjFqMTLu2xDRCWFQO7hRbFLo2rqMFoljkySyAMBsVw+//ju7iO9gCHHwb//e/adoJvfHg9uVo5AhdzLFEhEAF+tfa8eRHHGwy8rbBhxMwqE2R7g9dKbRFV2yTuu/Unjrie93BcWd2glcTbPeaBQ+c1svPeENfRqjFNCZfHrdIK8Ui5gKCFkF5JV4OEFvYCRIQMOEed24cHKGVw/3+iE46YyV4aewiHfk31c9RzkVchzr1IKRjIEiApyDHKIpQxKGNmsrOItaD80St31We+BBOo4koMpFiYJoZbJPqmUyMKVsHu7Bagc78Alu1HOCk/vGoLtpoQYHXzCabkKyFZAQ+mb7CHyMYaozhdPrRB7W5Ah/8fLD+XslC2SBLxnit7M0ojMJFa2Nslmwy2KK+zLNIt7aPcfzjsg3aAUklzFW3eoEOSlREr1CZGmFjVIS2JJOYDXAwGSM4MWJcmqJVspYI0wTKbzIhQ5xD1i8MQHq4xkXEgt9v7hW8J5miMNmlCwa01GsVgnphx0xlIJrXh8H/D08HQAuRWWMmWRZQasEFdhYtGb07DIjJQcFHmwIH2z9GgHBTYbUC3e959qr5moI/bsFazd6gZhtnEsqqQDorUP4DGwq2QL2AWv9ULQdlPJqMFfRfWO/+8908nw2RTsBDhEXZM3GwzeeG08U+S+A/mb4A5yLnbH+Pfd9lv4qC6pyuqnSqrTBoqKaqA4ahyHzF2Q3C6fs218EFgievjV+ivrz2gMB5+sdhP+oSLclg1gphYNnrdS4IGl+UJBH0yMTBposLR2pQvzChawugNZd0RAlbC65+daJ2fCmFEKc/k3lqa86w19gBM0RnzQx9qvUqHTV17P3nv1+oGSZROdi6H33Nyr7Cvstg5+hg33PPPerf//63GjJkiBo6dKjq37+/qlYt9eA+8MDkEWaH/MLMUAbh32f00nW9H02L0XZl89cOtsUpDtv0JEqMKrCAuiUmX7otSHDmbNBSDAcPY5DIdOv6tfz+nmx8ZH2l2b0gD0milIBaS/YviO5bWK1A3XZMV3X0IyPKnZts2lIzDb2KHyimQbVV9lrKJnfrsGl+Rpb2a1CXEOkAOLTSUgkkE53j0IwBNo8HT+ulWhTV8Otqwzb8E3s11f0uaQtkYot3XWaW7Najuqh3Ji1Vf/koJkZl4tGz9lFVA7ItNsq1/spxw8YZM41dcyNf5tEGyUYRVRbAtKBfZq6Q4Io5P8z5FqVBF3ew498VtB4giCjKpY8Onxv67H99SAf9LFD+leAN2S/EFDHUmfvpQETCbAc7VVucM576Xv+m6wHAIJEyCfN5ZprBLqxWoA1cxgWOYxADBwofasesSec9P1ZdMqiVH4gJA8reT5/bR+UDiNfhSJHFZh2WoEPYnI2iv/qVB7TVPybMcRxkdF46uLWm2SajSdsZ7DBKeYNa1RKc7WRGNk4hPxj5H0xbHjq2ZG/jq6WvtHnuZtlDqlZyYTYvDgzPSISVkmWwM3lOZicA83dYIPK8/i11SQaBQ1SgJRASZqyftm9z/QNgvqAq7ouSXTJAO27sRezR1atWLtfrnGDhZf8dnzAmpZtJWJeMMFtDHDsJSpsmCs41eHX8YjWkQwN10uMjdfDg5Qv7JbTgwhmVo9vLhZ31l3GdSjQtCrD/2Jcd1Oe6odHJwWQxKBW8DhFE/uVrk9RZfVro9l9BLAiykR0b1VJvTlwaGgiTl1nfxa4IoycjjmdmO3NBGCspmzIqgqE4hza1nXXE7spiQxxfk40CawemxPleS9N0gZDh+z8s04kvypL+N3WZDhKbDJJk80DGfTrLhKwP+ejUkqqcZ29EVg72WWedpT799FP13HPPqSeffFLVrFlTDRw40He427XLngLikD/EJ2J8Jkr9kvm6PfmYk9B7BPef1jMh6gdFZsrSEtW0Tg1fCdtcC054fJSmmNlN6HXv5207/VrcwW2LdeQwKIMtk5b2GTh+0J3FwYaezQ8brmz29jnkG6imcv+gytq14OkYXGIsJKt3Nu0P2+iiTsu8djB9+YbAdhlhi2BtL6vJsTke7aGoxR5UVBynaoYsnvI9OIsIkMBOQAEWGpVQxUwsWpdIHRX0bZme6rtsqB9PX6EuT1EvnAwHd2qghbEwxEyYtGwx7jF6aEVjGslQ4HOFjHczY4SwTbKyiGyx0WclmA52fCxR1gAdnOAOIAMtauoYANDgnvhuvqbUm5l2BL0E9QurGl0I0puEBMi6Na3jiyWlA3MsBmWOyc5lCuqVX7qgnw5w/PyVCdqBfuJn+wbW9z57bl99fVIKk06/73yCABuMixfO76uzML5QYora1KhhBheD6tdhOIVBnMza3vhM1QbLfO4ERNLJYlEXPOzKwaF/lzELI4nAD0rxoGezOlqkzXTQzLkTeJ/LwjNogP0ONfePflxRrvdyNhnscg72jvAMtjkG6AVt6lmwBxAsJVDLukT7HYJyUMkJOh3x7+90sO6orrG1iaO3Kqqhnxe04rOeHhMoQMXp2Y6DoFFhNT+DTQCGcjWctzBnQJwtv9d6SICDS6c1kXlfBDj1710xSO+/V7w8IeFvx/VMtFdkbw7qPBE1goKqQbYBY5n+15SC4DiDs0OUvwE19AQVyGIGlXoJUvV3l5dZ8351SAc9P8NYOTAqBEF081zqfaMQAr3n1J7qoufH+toxJBOk+0XY9XdoWEsHx2CtSI084qjYEpk62Aj0Mpfk+ZJ8MMX7BDsiyGD7DnaExjF2J8FdsQGcylYcBdnWX/OzefNmNW7cODVq1Cg1evRo9c9//lP99a9/VS1atNDONhnrwYMHq9q1XU+03QHmRDypZ1PtpCByIk5DfFFN/BybLRQygd0u5fsFa3UN6UEdGujvoLewHVkNWhswXlEFhypHD2g26GMeHanpY9BmpOUA2U9RJUVllH/PNhwdQT1DPZdzOblXampqVLjpnR/0vYSaJ4ZfzAjZrt68dKCOPnNvzA3CVDQ16+3CYDrV9mIqdYg2PTHMYQ9K7mHgoRwKfvnaxIRFPZ1+r7TOEnVvHDF6cIvBZBs2ci3UaWMUU7d5mtfzOxPkStGml/sx3cjwb1Xv/7DcVz0la4nBTqRa5o1tQGfbksPGKq9FhxmEoK45qC1QlBRxgTnkZLyQ5WPjlF7gAOHD3i3qqlcujjkHYWOT65D/pxvNRpnZVGc2xzXBjquGtC0XpDGHlKi4mmKI0jEhE5ClYo1J7IAQ/F4ykCs2bPHXT5zaXQXWGakFF0FJP/sbcv4n9Giin2m21MYwmMFXcXipTyaIlarHbNzBLrCuIfgiCOiyzjOuU9HzqRvFsCQDnYxNJd/FfkigCWMbozkogGKuw0GnGCaSxHrINR7cqaH++evxMQaGCfaMB07rmZEIne9ge87nuf1b6HlgM4sSzmVHvB2YgMckGVO+n/Y7+zavq55o3VvPbVlHRBME5pWcp/QyD6LH222EYHNc9MI4/W/WXNkvmFvyHWHOAOfBeELzY/3m6gkBIxFa7NGsrvr9e9Pi12odi3OW62Rc4KiCZ87to7paistSGpAODT5XSACZ75RyJRIZQSDIyQ/ZU94jLdqCsHT95qTBQO41WVkJIoT2wTZaVqYS1jJtkDpJejSng9uP66bHxe0f/ugzpjLNYKMLcddns1TL4prqzjN7a+FBc81CiE3E7sKun8AGDrbZtSLbsiQR6CVBlaysJGwexEv7Un9XlTw42NTiE2QgOE8febtzwN6MnELYNWrUUPvtt5/+AVu2bFHjx4/XzvbYsWPVr3/9a7Vt2zb10UcfaafbYddCpj5z7JajOut/o+YpBuKf/jdNN7fH6bGNCGhkLKpkissd16CyscC/PXmpjvanir797ePpPpUTQynWezO2qBG9FrEHoYECstZk03FmTaOMRVxqws7q0zxpC6x8QDKDiMMBaoJwpnHCxKlG7ItsvoA7Usly1pL1MRRjDqPCrl++fL/W6vHvElvncU9sQ5LaG0RGiP5D78KQCRInkYX47s9mqbrVq/rZ8zBDFxoYvSMF1G2blD+cb8Gxj47wN7CqxrWwcb48dpEeK2SKkkVkyZygul4nzZ6/qSDGIRnpRrWrqf3bFWthP2rpZc+0L51NBeMMNkUukJ7lZIq4blGUzwf+fGxXPbdEpRtAFzy0cyNtdFH3dXzPpmr0vDXq5nd+8IWrUgUVTOeyQS3Gi7Bhcjvfdycv1eMCB8e248yxCGMEivaTIxck9KPOBTL6wi6BIMTPnhnj/z8oQGADZW+EpDCG/33GPioqSN05z0scDT8oFmJMiUOK05GqfjkMZz39vV5DULgVZ1rKXIAERaAS42AX16qm127WpqDOElIDD5sGNKtTQ916ZOeEY9r4w5GxvSwVMKoRmbN1IsBr4xdr/Qrmh64prFGgM9dkbC8b3EZ3rcDxYL1C8VfWx1QU8WyF1AD3dXCGvb99A9o7l1Sfh+VENjPoODI+ZBknq3rdG5MSGGbisBKUpJ0nDodopAQFPMxgDus+SuYC1l0B76J2mvvEXEnGAggCCQEcbBzU+WvitgJraxDVWlqW/v2TmTo4T4mMWZ5V0RTxTVu9uuZqVXwHOwjYFiQkCDD6/auTBJokS4tIF2VgR3ZNpGxT2vfL12OZ8OTq/bHf6awZ5iEQ1B2agxAYawxJ8PoWUyUTIVAC59/OWa3arqtZjjFAqREBL8T8CECGBU1l+u6IIOguorRNvKy57WBL+7gwATWClzj26QiK5sPBloATNr+UjzjEEBlHjPZb06dPV5MmTVKTJ09Ws2fPVps2bdI9r6tWrZiegQ7JIYaWGRGXCQf9k2wGC/AJPeKZXzaof5++j570GLlkSt6auERHLk/qFTNSTIq536bLWvDsTCOZHyjIJjgX+qBqJXPDwTZVesUoW1Uar+0kus6xxKmvKJVPExJtFwVUFk3orkRWZQEqs4yDSgGKvulksB86fZ9yUeNLB7cp52DjZJiCPAADkeMceM+3+v+iLg5YpFGV5+/iIJHBRdBE7ntYNg8BPREGAbWrVUmopTbXczOLz9ghoIMzi2F7tuewILRSrSD8XkjGUmq8swXRbMatGBKHd27k3w+Mbn2O3t/i1XqxDABGygtjFubsYEvWhJpQoZeZDjbBC7u/bbbAWLUNVsmQE2Cjp60I0QGMUVNohcz6yg1b/LkpEGo3T6zIyGCnu5HTixvBHEoNzKBQsrou89AwZqh/xiliLVi9cZt+tplS+Jm/1DDyfJMp7tsdC3AW0skEY4CxNoQJ/GUD1lYRDzKvl7pa7mkYbdrM+nNe1ZPMtyCwxpsZzGQZbBkHXPuZT3+vHdeHAwIMUu8sQQL6DaPvEAUIHgEcFtSzWQsfPSvWvuzOT2MlGQPaLNO0T4T5rn19kmZQoIrPdUgpwPDrh6gq3uqdSBEP+NKQ4X/WM2M0Y+e7Oav1fsd55KJAXD6DXZY2PTWoVSLXJT2vhV7NfYPebbaykkA39GBqqempLmtVKrYC613JltgzwW4wM9CI4cEcsGu404U49+y95p04//lxWjhRxiV2yHOjF+pzkTULh5V1jgxncXF83WVMoGkS1VqcDMs8VhPrBGvRd8beagLF9xvfmpLw2vDZq0P7HbO/C/7x6cxyDrbd9iplBjuNa6FkSEApRBSMLPZJgsQSUM1ECFT0YKQk48uZK/U8AG0b1Eoo9QuDrGfQwpvXjTMvMu1cQXJI7jkdZIK0CGCgYNMGJbdAMqp/6PoQYZ30nFWxBF1Y4GpvRk4O9tq1a9U333yjvvzyS/X111+rNWvWqFq1aqlBgwapyy+/XNPEM23l5VCxImeyqcjEK/MmdPuGtdQFz4/TThpGjoCJ/tePZ+gN0XewfbXxOB0IBw0Rjfu/muN9t1KfTV+ho+Vkl8Nqach0oEhsKzvaNX26LYdHIxeHGseBTA4GA5cD/XdQ22iUElPd16AFXu6F9BOVNQ2n165XYvG855QeSUWdOB4/ZUnocqawE0YGkXieA3VQGEqmUBqYb7TRgX1ARg5nCTEmAYYPGz01x+ZYSIB1UnwmTLTGfCtCWNRd066NbEgl7+9ksuoXVEtpQGXTiskEdWv0NhU8/O1c7TCT3RdmhwSmxNhgI6Q2nVZUUQh6/O6Yrurknk1Up5Aatj8Om6ZeuKCfyjdMZ0GCQmyatso0JRq2gw3FXowW1hLfMU7iYOMAvzdlmabIQc/nE9RDJjrYsd+B5a3Gi/J967wexggNfj17lXr2vL4Z3IFYG5NHh8/T41ECkWGP+OtZcVZGujTruLJ3eufDNRK8wwDEOYUFA9PhoI4N/ed0xL+H+/Wz0jvVd3qSjBsRLpTgWjr97oOeOeuOqa5PJuakXk1Vk9rV/fOx1YPDAi92DXYqTF5SooMzBBwR3EvGAFrvOe81CyrrVjVB14vKux2AwOG65KUYjdl+1mYCL6hchawS9ZqI94mWAWB94UdU1Y99dKQOhtx7Sk9NWQUEslAFZ06xL6YDuX7JLKMYzdjo0aRO4Npti3Eytqh7Zj/p2DCWvSObjxNAllDECOk7Lu09WSOuP6i9uu6NyTHmlrcmh1FduRfcUwIZv3t3qn4NO8N+HnxXEmZ7UjB+0ImAqfC5pU0yb02p72AT3KTTBTTz968crNlvQ+//VtPWj+/ZRD14XjxLzl7KT5RgzKwq3abXQJIbMPR0N4IqlXQ5Ds48ZQriYJtlZSBoGqEUfbnRKSaIjgx4pgjVid6G6Xyy30vSwP5O/ZpKP4NdyyhHyqXlJOeOkBj3BzEwggjs3QSjN2VA21/pteASW2uy0RbO7hIShj8d3Vkd9tB3Wszvo6sG63UYdmKmFPEHv57j264SYDLnDeONcSx6Q7miilVCkgtmrtio9RakdR8MLoLTsJakzGpvR1YONuJmw4YNUxMmTNCZ627duqkzzjhDO9R9+/Z1GevdFETlsAHM7CcCSgiK9DUcKhaLMBXFIPEi+TeT13ewK1fSUUYyQrTRglb2t49n6L/hAPczvs/E747opH+TKQ9a2HH+xAljg5D+zwB6Ld9JFhSDHXpPlA42TvTiks2qbXFN35B5Zdxi9fakJeWcXijG1JibLYySiVGE1aCaSGYsg/tO7eVnWQBfJ/VZGBIIjg2bskw9afQzNy19+WdMGKZSQt0UkW472m3CdjQxcMKMXfu9GMk4NBiuGFo8V7I6ds2tuUnTbg6YCr+ZQpyXIHwxc6X/HfH2E/EAVar63HRAkGlRyWbVs20D1bRGFd0nWWDWA2YTRGADxSkjY8GYXbJuszZGyMyQOYsxBCr7vYnJ7NjPJEyl1mZFAAzrGAMltqXUqVFFX4Ot0Go6ZxixZsZkYJsi37kQJGvTZK5NsAtw4kwRumz6wUqrNhgYqep/syldTkdplfO+/o1Javn6rdqptusLEYMUB5v1FoMMJ4q18BhLSDIdBxlk0+1O2nxBnzbXaeoT6UtrzycTYYGX9tqhKPYDkKy5MGgYW0EZHNYJBIFEFOi3h8f2jyBIayjJXJnPQJxIMzuJIwaoTzadP/Na+fcDp/fSC0Gh4UgIYP7898L+Pp1eMv7Afj/ZYeaRzAECWeyZ0J3TdbApnenToq7vTEOL57jUcgfRxc3yIObrm5cO0OsF4xSjH0eaQCnrA2ut0JVpI7lg7WZ16Uvj9Xos6v8ESFIJdkrgddjUZb6KOmrwtA0ioIDTAhBWg5EytH39hL2RZ/67d3/QgQDYT5QjwarjHl00KMYmohyB88WJt6eaWaO8xQtMSVDPDO6tMjL12YJ1mPksxyWI/cyo+Xpdjq3PmxOC4lcPaavaNWitu7nwg21lqsvz1oIUQZ1kU3mB1Zee+2Q62BJsZtwy31jjzFI2AfYiLVYb10ktKmjuF+lmmrlvnIvsX9ynacs3qOFz1mhnEwcbsM5wHskCazZkbxP6txkAkL2eUh4CHl2b1NbrmQ2YllLOyDMSp5hnadut/P+HZRu0bpAOlJZsUdce1E4fQ8b6kYZeSFVvY2EsyHgOA8fWiZNKMbZQqoAHc6Rzo9oJnRBsECRg3+Hew2KR3zBX7jutp/8dj383zxfWZf1kbMP4gQX4d6+rR6bAlrfFHvc6B/vZZ59Vq1atUtdff7067bTTVIMG0YnwRIEZM2boIMDy5ctVz5491cUXX6wKC11E5cw+LfSPCbLVRz8yK8HpQuBCNkeM/FfGLfI/F0T9lH/ilPlZW2+TlcnIImlOYJP2bQNHEMNC2t5I72iUyKnvQqEaQ4R2XiwqksFmkzcX8GzLTIjMTVi8Ti9+i9fFFnj+zcYOXr24v7/ocg6S4evaGGMklh05pVcznUUDYnDIXojB/Mi3c9Vl+7XJWGDopCdG6Xrvp87pow1bE9AuTVEUs372hoM76J9rXpvk06FsmAEAc79KR23YdgELqxX4GwX43eHxmnjbJjA3BRZXcbDDYNY5ZRoxHj1/jfpx+UbtcGJA8z3S81ic9aH3fePfQ8QARa+A91AnSP1XKvpwKtA3GdVaxsJXNx2i6lj2gTkswtgeYeD9B97/TWj9M3P9zN7NE7L2NmTu2OJh+rUAw5lNG8P+CC8IQ8kCP2GAxs1zxthGBZ4smGnolctgBxyD50F0n3PFwRStBgKGODJh982uN359wmKdSWSOS0sZMjipgijmy4d2bhhJXTdgTSA7aJa6MJdxvLhPtr4FquGZtEEMUnAvDHAOTZhGIx0TUJeXrJq0AkwGjFmc4Lb1a2pl6jBF3LP7ttA/Agw9MqNBitT2Gp/KeJfsqwSBzM/KmsJ4pN0jvZk5z3RAGygzOBYEyk3EuZb2bkGUfNOZ8oUvU1CtTUAzN6nmqVp9mUwx1kHGkKn03Kt5XT/raQZ60L5oVDt2zcxjsQdKcLD9exns9KCVop0Sr4QI8bRL92utxVMpETn0weE6GPLM6AXajmhV1DPBwb73i1l+QEXo6swXkxVmOvn2WDPXry1JggH2fYdxw/c0KKyatNsFrAHK7WjryPldPbSd7s4R+74dmrVlgkeDwwMd3g4q89zoRy3QrL3K8WcWtP8ka+tGRpR1TUQ0bZEuMtqAtVgET4NAkiaVuJlAAsWZtJzEmb74xfGBf+vcOD4+U4kVEoQxncm7PpupAzdAkkrCljm4Y7w8icQJdHYU0oMcbLnPO3eU6TlWq1p8/DC2zbFD+Zy0ojPrpnGwD2hXX6/rJIfs8bltZ2Jfd2ySO47vluCA8pbjHxup//3JL/ZL6ZymSuTc/tF0rWJelkQvRthrBB/QNOB4x3Rv7CeUzFK6TECw574vZ6uvrz0gI2HHPc7B3n///dX777+v7r77bvXuu+9m3A87n6AO/Gc/+5luJXbiiSeqp59+Wn311VfqpZdeUlWqRFf3tieBTd00xj+ZHpPdl1YECMOIgy39NMsMQ9WvwdYZ7Cr+MYkU4vTSE9eMGrNQJHOgZBGWemb6JuNICT3814d20D0qGxVW1xtk3KGsmmCgZKswDaVMnGMbOsNqnPsRnRtpxxpxODLbkkHmjOLBBqEYx88HqtPFg1r7DjZiM9T0smklq//hu8Oyrua9AFDxyS7gNPDNiPOwcZkoCxQuUZomLXXAZAhSIiCDbRpYZiZT7gNRWzYxcy2NCdVt8qm+QTCDO50yVG5+eexiTaEzcUbvFmrGig2+w2DeQ1OZnuCOtPeRyHO2QZxPZ6zQBitjZOXGLaqOlQkws6/JRG4AxhJz9MD29bVqLhs0Gy1zgc2PuUc9I1kJfvdpUS8h4l8pSc4DI4LAFtl8mY8yx00Q9Hr4zFg9azqQeYpRzTwIQ5ymXf5Gc+8IGpmZZ/Cbwzqqn78ysVzwhXH35w+n6xrFj34RE+YUqjeiN/41V4o5FhhbvVvUK5dVDxqHQ9s3yJAinnzgIOwFvRiHmu8PEiIUhBlMGPjXvzlZBwuCqPJx7Yzw84AVAI33jN7N1KmegA1sJNPoH9I+tRCXGK7ifKVbm+/fr5C/m/cxmYPNWBAH0c9gG+cgf1u5Yaue26Y+CM59Lr3oEeqTGu+bDu2ofly+Xhuj5voogVEReUtwjnMwNuOtvoKd3YTa+apV9P3kE2YAyi7XEr2Bmsbr93w52+8jTwCBwFeYmrV0IaAGmP2oX+uihM4kcs4i7mTHUCXLSibz4kGtfIdJAlK6W4c3zgiW2HMtVmZRLWFtDQok2gEC6K+IoOGIhTnYiIRd/8bkhJZnImIFWtSrqa7cv412pqXGHHp6sgysqfVgs3LM/0pGlbU4DMLwGHD3V/6z5Jg8T0T8ZM9HEyUqSLeCZGrfZEgJQFF+BYuENQ26ttwj+U2Z2pA019pfvDpR268fG2s9rBDOgTm9T4u6CQkE065KFUAn6SRBOTQlaOP47Hl99Jgxy/AYy8KEw07s0qS2vkaxK84yHGtTiPa47k0SappHz1+r5wLrkOlEB5VJ5QLGQ5k39/h+7jfPopl3/007jn3b3LsJVOdiE301a5W+Rhiv2bTY3GMc7Ntuu03deuutWimc+mscWOmHPWDAAO1s43S3b59+8X1UePDBB9XBBx+sbr75Zv1/zuOQQw5RH3/8sTr66KPV3gypcWX+i+FKdFqiuNITG9EC0+A0NxozOoqBUrlKJXVQxwbaeCcaKtE3aCtEIJmwX1xzgG73I5ky3mE62Gb/XyAbs1kHaoLaagF1asq/JpXQy9JeG3FOL3lpvO8cmffl5sM6qlP3baYXKSJz0NK4Jv3DAuP9tjcvRDH4EcgijQPBgspCBV026HzMxZHFhdpPlEzDHGyie3L8IHvpg6mJkXGMBzaUi14cr6O4//v54HKBDcnqAFMOhiwGIiJ8nswGkW2y7tQ93RxAw7QXVZx5agoF1Y0xFFZ2AGTjSRaAEUE4njkUwGS46e0pmnZKVowsH8YcYzT2XGN9rPu2KtJGcJCQjCjT20jVFzyd1hb6/A7rqPq2LlZr1iTWORM5R206HYr4Z9NXaiMMQw4HW0T0GKuZ9MYMAsY9/euJ9osCfirxonSAUQP9NEwhWJCq1ZQgyIEwqZeAeu/3pyzzx73MZTK4tGbBgGBcoGwMxTaVIWc++mTjNfF6gktvbKBkmytYy6HthSmq+4yarTt8I9sG7Reh3Zu9i1vXr6lrVblXzPF0MtgiuiVrb5iDzX00dShSUeoTMthJnGCugfGGY1vk3Y+ygPn7wNdzNAUf4EhxjdTxnvtsXC3eBhmfrdt26BIaW8l3ypISHdQRsLfiyMi++tx5fXSG74Uxi/TrZsmL7xxnMN+oiaSbA2P58C6N/FrLsDluZgDZHwf+62vtfJC9PNlbWwurV9H7Iw4QWSYR6ON1AS022eM541ZFNf3AVzLIKUm2mbHBeJPnKE6vnYGWspIbD2mvVenreuNFHGyTuQLFHGeaTKbsndDdP75qv4TAnJnBpiMHddnXWuJRpoo484Vsnh18I6iFc82lPXF2b20TmfYN4wPmWrawxeuC5kU6pTEvXdhPl9IhEoaTxz3CBpFxT1cXnF6Oz1iy9xGy+YwHggOiGh8GHLQnz+6tbS8z8GACsT9RcL/r5B66E8UX1+yfMpOJEjrnTcadfUpAYkGCZGgdSM39hQNaafZWj2Z1Eqjh4sQKUrGX5F4Bronn3i3gPkDJx45lfNGSLhm7QAAzkR9a2DKWH//ZvnoucBy7RZz5qNPxrwmYcp103cButwHT4gLdsaNqxlnkZMHwdAAzyhRM3atFzgoKCtTAgQP1z0033aSWLFniO9v33ntvQj9s/l6nTrTiEEGgHhzRtT/+8Y/+a3Xr1tWZdc5tb3ewabtjtykx+yezWJI5tKmVZnTXXCC0UVYlXucrmYL3rxik1Tlx7GSOQk0a/asD/c/+5cMf/X/bm7EYKWy0GB9/GjZNjZq/Vtfm/f6IzgkOt2y2ZMrJApgLeFmA4mZYL8n7v5qtlZPJIKNyma3SpRiiD341JyFLBoj+YbyZatuCeB/s8Ej2BEMkJ8hxou7cBJuMGNfcx2uM9hsCat6I8uNkyGItx5asDdmzFeu3anpcGF1c7vUdJ3TTdf1mJhuj8aFv5upWUKBfq3ra+ZF2Iua1iHFtsgRspNMzHPCsiYYi5nR+/5aBFFRBWIYKg5tN0m4FlE5f8GQQgSAypUEwa59TUcTHLYwZBvShFGRSx3Re/5a6jZrtkP7hiE6+WIlJOw0TIDQx7IdlOnJPdjMoQ01pSjp9qp8+p48eW3YQThwQxjXDwKRWiqFtZ7Clhd7p+zZLcA4Y+9lADH+i7WE0QhvMJZhBGDhBgG0C/Rqj1qQNZgPJpIQ5p3L+zBEYNLaAE0EguWdm+xXudaZtECnNCPpum0ZNppdg4DuXD4xlg1KIwqWbwWZ+42TjKJprbMzJjtdg8z5xbBnz6TiKf/9oug5mUkNsO9j2+vCal82SQJU4J29PWhpKEc8kg01dPMKig9sUxxzsFBRxU+SM4NzyGSv1faDVpjjYPIfTezfXDBbWCaHc8vqDp/VSU5et1xoakv1MVzNCApoIn6KE/PK4RWrEvPg4kUCeHYyR+Q3FVv/29iQJFtvfj6NL4OaIf3/nv3bEw7F/w66zHewr9m+ry1uqW89Saok5x/3u+Vr/+z9n904IiEtwALp6KiXqTEGQ0xb/M+eF3KYgASvU3v8zggB+M9WvVZHO/ouQGfeTOX3jIR20Yj9zgT3nRC+g+uU1B5Qb1+yp2I6w0IJ6uNuQzOemkDkqAoS1PXslXeeO8jzGHedvOtgS8GTcm3sHZXTlv7s8Wy6V/oY9r8MEXVlXAYHIdJxrE2Z9vk5cbSk/ts3zSyeYThAM5gjrQ5CDHaZ7kw5kBmVjE23etsNvIZfuXrpXtelq1qyZT82eOXOmevnll9Xrr7+uf1966aUV4mCvXLlSbdy4UbVsGTOmBc2bN1c//hh36PZWyGQ0N2zTsXjn8kH694tjFiY4a+biYa4RQUYSmy5RXdlooNFgNPC6uYlJpJ5IuW1o+w62Xvy3aecaIHBBBI/NgkxAi6KaepPAQCZDatOs7MWRBahzo0IdvbTrQ3HQ0+kjmApCqycCbIPAwD9O7K4OvP/bcgtROk6jeXlBi6mtCAt17vwB8bmAY48zYKuq3jpsWszJMES8xi1cpzMyZBgR2SFCmyw6eXKvpnrRNuv3wO8O76QzsWbvVMTY6DkLjVe+T4Dze2z3xqpNcfgiG1etrxQohCeA9g1gJKSqI4faCERAz4QoICMG9o9PZ6kWRTV06x6yT9nUCmEASTYlrLWFl6QPFU4xIXoGdj1dukAx/sOr9lOfTl+hbv8oJkRIPbUY2LazGlSDbYPaQwzyVBnqVAijZ8t1U3/GXRllBO9+884P+rdtjEi/cTIN6RgjrD2sX4ydoBpNmQs3Htw+rR7YgICFiF4FgQwr9Xq9mtXJ3cEWIzHE3zGnsh2M4NrJOAGyuLmqwlKjL0El6MO2yA7rutCoCZoIayoVVTOdGmye077N66mXL+yvM0NcG+u9ptTqIHFldccJ3XV5j/QEt9clPse6HtT+KNk5JtNoKDQyaFKGk+BgS/Y5gwy234bHe+ip9hVouG9cMkDvHS+NjVE8wwKcOIxvXjow4TVEREVIFG0S5glzC+eAeZNs3cXpIAga5pzIOmM62DxLv82S54xJEBk9FGBm+eT+/9pqZSWQ9kr2/A5yhqoHlGk8/M2chNKYUqN/ddSAZWPbOMxNCQ6FZbChM//zs1gihX0HBxvwOf6PE0iWVxxvO6ibbFynu/1J540g0UzTyRWxvHQhQ8cOwoiDrUVxU5wkQnmvjl3sM1dAqg4Sth1EsOeF7xfqNejMPs39ADfrBkGcpnXS35sp+cL+EueaZ17du1A72G6XCGS6PghgjtB1g/IF6Q6UDwHPMEjiizEZ2qlmb3Swt27dqvtejxkzRv+MGzdOt+8qKipSBx10kDrggANU06bR9LFMhQ0bYhs4VHUT/B/HO1sUZNi+pCIxa1WpWrd0g2paqyC05kkgw76goJJ/TWbGN+w6qbmUv9WqUklTeNiAalUv0JMfR2bhmk2qdf1afiZbsidsdoc8OFxdf3B7daGRyfrDUZ3VVUPbasEoO1KMgErs3HaUy6pVq1pZvT1xiXriu/nqtN7N1C1HdVF/P7F74HlzDuY1Hd2jif5J5qzkiv6ti7UhBi056H4WGItPlSrx85NFCaPC/FwVb0Plt7npcx/s49uUpyEdG6jaViaTCC6OBzRCAcIyHKtR3erq7H4ttMGC6i+G/sWDW+tjSLaZswy6rhM9Zwyaz7ot23W9PJu3BEeo9TM/t9ow4Mz70D2dqL+fYd+prn1jsnrY62Vrg/OQTFSqOTzPU1cN2hrYxPh86fadWsCudNt2VbN6gerZIlgJPxU2earyoI73fOQ5B9XdXXlAG1WJexTCboCyKMfKdq0qKqimTuvTQpVs2aHu/3K2alVcK+FY1SsprSDKfC6sUZAyGp9qvEQBWWP4xXdI+x/a23RrWkdTOs3vFqOLcZ7OOSGuRQuSe07tGUjZfvuKQXpsoKQb9mzM+ZsOKlUOXruyAWuElH4EHUv+DpCJMN+z1FBQJgCa67n86rAOqka1yjrLtE/AvKEUJej7qnpsCZmDNlg7BOwXQe+5+e0pauKiEnXjoR1Uu0aFqn7t6uqr64ckvIcxLQZsmTGG5Xg4H2gVXDS4tf+aPFMxLKEV33BIh8Q2cyHO4zPn9Um4D1BYWTMT1n/vuIytdO9/Ne+7tdo0Al9Sz0zddMgxuCfg8gPa+OvO2k3bE94/a8VG9ctXJ+rzY9wHoaOnh/HE8Hm6ddrJ+zRVfzqma+i5/vaITjqAdlrv5vq7zD2Z7DViSlpozpvf8owxwHGyG3jrerHntDH3GQ9mmIUAGe+RVpk2cKp+f2SnBBsnbO6arBcBYms4Jod47KzGdaurI7s20o5VVOseAnAfTl2uLkCzxTpmn9ZF6rVLB6hhPyxX93hsxD8d0yXhfZSeCSiDk79BrSfAIKVIT53bx2/PWWYMW8aw/b3yrNgH0rlO9pdje4b7AXF9hIKM7pvsMzxd83PrvWAbcyrsePJc69Sspl69dEDi32R/qxy87th2AmMSXR3G4DE9mqgGXmC4V4t6+icTjFm4Vj3wZax9l2T/RfcEi8Y8n8pm4Nva75LdL1kfzGA1QfGyStnvO/gV8X8HH6N063b1y1cnaTv0F4aIXsnW9G21dJHp3rvbONjfffedGjFihPr+++/VpEmT1JYtW7S4GS26yFYjgta9e3dVOQndNR8QETOo4iZ27NiRtfgahk5x8e6rQP7sB9PVOxMWq1uP764uHZKc1lzFm6R1atfwr2mrEQKT16rXTLxXtdn8jXtw+uBEYamPvp2nnvhmjrryoPaqf6fG6psZK9VfhyUyBj78caW694uYEMqpfVqof53VWy2ZsVId9sBw1a1ZXfW/64b6723mWZlEg6tUT3QQi4tqqa4tiTTOV0vWbw19Nu0aFqqrDuucnkBXhKjkTeaiOtXVPV/NUe9OWKxuPKKzOn+/tvr1mgZjoF5RLT+YUKVqQeC9FtStW1PVMK6lfnGhKrZopp/8GKPogWHXDlXdmtXxnS9B7cLqqoEXTSWajKhP0+Ka+jv5+XvbmCPxt2Gx/qRVqxXo1xkz+jyrVAm951MWr1Mne7Syr39ziKpcvbJPfWSYmZ+rV6emL1L262O7p6VULljjicbp46rw+bl5Z2zBl+tLhrt/1kcdOXmpzuT99o1JqnOT2mq6l3Gr5K0BhSs3+UZ/LmvC5nWb/GhyA+84PF8TZj34707omfR4wkJp2rB2zmsV4w/MWFWqJq6IBYpaeZStkxqmz0JinMmaE3RON782UQ2fvVLddFRXdaJBP7bx0Oczdbuciw9o65+HYLO3v8ga/cLlg9S4+WvVcfs0K9enG6zxhPPaNq2b1n2q6jkrhYXVA9+fyb22n28YatUq8Y2lXJ9lqbeOErsLOtYNR3dTn81YpSYtWqfXfPM9O1bE20n96thuPh03W7Bi33lmn9C/r1wUUzUGt53SSxUXxe7XJu8aNHNp/VatV2DizP3aqf27NlG/e2OSalwnvq+ZWEzLmfVbVHG9WoF/xwmttsZrqUjpiheoLDTuyT/OCj93McZRHu7Zulhd4K31oPba4I4NNQsTz/XPp+6jf0wc0rOZeqSolg5CpzsWiup6IpbenPj9cd10Vq1jiyJVlIL+ad5ZHAXzO5uqSvoe4mAXFdVKGqCu4s2buiHzxv8+9ptWcXGz/h0a6Cyg/mzNqjqICWrUil8/5/j9LUf4GUTOo1qt6jooXK9WVVWrTk3VqU5N9YuDO6h/fzFL7axUSd341hS/pRwOPSJngkoFVVTfjo3TmruNNgSXLd345hQ16g+H6fF3YHGhOrBHdhnAMNx6Ui/VquEc9crEpergzo1U47o1tH0j4N4cV72adrC5DwM6J7bqa9OgUM9xcEL/1j47hECT8u4LuPiFcWrsrUfo8WYKANatW0sVW4yTmp6NWKN61Ujs4y2emdKoKHiOhqF2rdg6X7Va4nq5bV4ssN+obvCakGptrumtdzVqBM898TVwnrm3TerVVNWXbtDzpkaKcZ8K9TxbS9CwQW3f9qtmnU9lU8uofmGocr+gyLtWsWkE28qyu/8m9uvSRN1SqbJqWRx+jBc/n6mz8/z84cS4XXNQYXX14fVFWoE8an8r3b03H8jK+6DGecGCBapz587q3HPP1Q414mY1amRHUYwK0i6MDLqJdevWqeLi7FQRWWhKSuLGxu6Gyt5GU7JhczmhJBtbvIzeptKt/nsLjSzGHe9OURMXrytHMSrbviPpsUs3xbId27du1+8bMWO5mur1GhQsL4lnKL6duVK/78XvYlE63msef8eW7bremozs0lWJqtfrSzaphtVj5zxr+Qa1ZHmJNnBkYUFtkr59fzm2i9paukX/VCRGeuIXC1dtVKVbdmhq9Mp1m/T1QTE+++m4WM6ataVquyhYWvdQQPSNBaKkZJPaYdCDStdvUmu2hSttN6tZRa1dW1qOrrN581b164PbqRsOaqdeHrNIC5et2xgfD4ING2P37bGvZqsrB7dSpd593LIt8fwEc1eVqs9mxB18tXVbgugQFDT53EH3fePX0TH+tpVuUWuM5/SrNyfrWvbbju2i+gSotRYXVNLZ1Oten6w2btnmHxdaIuNABE0Wr97osy5SzQ1waPtiTV2nRhzH/7hujXUPXASM+HzJ+tgY3rFjpx53GIPcXjIMmTAiqu4sUx9cNVjXbfJc/ecbkmVJdu48X6HGbtvEPVZZg+xd94a1dE0dvVovfHKUFvqBxZDxsTbHxvOmzfHnY2L+yg1qwepNal1JbG6E4eVR8zV9bGjbIlW7UuJYXu0JZpFB5BitCquqVt0aKaXHaOLcwCAXQcSqO5KvZ4Kd3vNYn8baGoaE+btjp54nN7wxSWsNPBWg7F2y3lOnp5Vhlt8p2OA5EtuTHKuyl4tZubY04T3t61ZTz18QO78djCtvfcoVBLBYC4BJq5+6MDZwKVWpWRY/37Kt23VG++MfV6irnx+jhnniVCYwx+4/NWasBV3nSo8GXMM4rgnEtX722Aj9701bt6ttW7frDOoOY62jZzit/aB+IoxoPlsTc5atT/gOxncQ1q7jflcvN0a/m7NGdW1aW9dCcuRBLWJBrXTHwiZvHd3s7SNHenWWZayTW9IT4hOY31nZW8tZI578YqY61WjzJ3h21AL9bKWt184UdoONA9sUqXP7t9Tr6uatO9Slg1qp0/ZpqrrWr5nyOF9eF2MkbNoQ++5uDb0+6pu3qdleqZB0IPnN27ESErBo1cbQY9tzd9umcFti8fL1qqrBTIoa9386Qwu1PfxFLEs97uaD/fnEzxKvnzh0e/t6tu+Indf9p/dSG4zxWNsqKQM7N29Va7ZuS6BAr167Ue/nJjZ642xbiD0QhBFzVquF6zarA9rX1xoTJlZ5617BzszWva3eeZVuStxnFnrPnGtM9/maOKZLQ9WrSW3dEizo81s922uNZydhY0jiddWajWpNjSq63hyhOBIZmQQosQFNbCzZpAoUvbYrqbXWfsl3wErADli3tjQls2yzt45v8WwawbrS2Os7twbv1+mgUbXK6jRP0yDsGD94ejFB72ns2fW57nvpPN9cwDHTzYpn5WDfcsstqkePHqphw91LSr127dqqTZs2ut4aJXPBtGnT1KGHHpr1cVP1uNyVkPolRAJSnafUrpbtLPPf271JHa22SF0ciqfUOVPXY+Kiga0Sjo1yI0449byI9vh9icti90pUWk2Y9XFk3P791WxNaxKYx69ZpbKu0wUIcJng3Ft4GVhUk+//Yram5tHaABq6qFXTK9q+H9Iv8Imf7Zt2zWSmmOPV646Zv9av12Mx41y2GefzzLl9VNVKlfxz3OplmqmPD3qOLBCydlL/S4sU+32XDW6tnhgxX/82/ybtTjR2lqmNm7erP/3vR5++vWL9Fv1+jCfqE6EkSk2y/m5ok17QhYCTeWz6IOIs/OG9qVpAw//OypXUZotHxefYuM3+vowj+zowZKn5Likt/wwF0i5uC4qutLeBmvVwzEgedeNQ7fBKzS0iOOnO4X2b1VWPeDV1CPrIOS5cXar+8G4sq883cw8RshORsEz7mTfwskmy8PM77BynL1uvWtarGVj7zFyS21ytcvDYSRfPjJyv/v3NXKNNy0Z9rVkdsyz8+Zq1pjULKqd1fOaO/b5tnkFrn6N2pjdu1aUQ1L5hdDD+D+vcUBupdaulNx7kifJe+/0YNKj6QxuGwp+sjZb5fHEcoL3WrxU8tqXuNuv7boD1BaV8KMt8b9AYFT2Om96akiBCyTrapVHtyPc/6j3Pe26s7icvLe/A4NbFquCQDlqB2vy+apUrq98c2lE72IjgrNd96zOrbxW9gxpV4mONOn1KBv58TJeEml2CXlcPaad/gLz/i+kr1V8+nK4Dv7I3Ccx6/ia1qyWcv/lvaj1pXcnzv+K/E7SysilyyF6HHgb779uXJdY6p4vK3rybunSDeuTrOVoVOFVWKwzmuTOWBAS8gsbE6+MX67918ajiVbNYj9DywMHesHWH6tqotu8wZHocYebzbM1srOlcA7pHsH+hOTHYaBUWNHcb1qqm2+f95aO4Krzp6Og9Xu/TlTIWtEoFe+7K/Xhr4hL1t49juhlg1cZt6pWxixK6a3RrXEfbC/VrVk24j3Q5+cgTpgP0ZNa2oXe/RI8E28S+/9stmy8d/PvrubrECh2aRhabosRjF6EJkMmzlpgr9938XL3qBVoHp32DWqnt4oC9F7uYHxBoj+2Ma2aIkBrjHbDW8pkJC9dpXYe29WuqVy9OpKAnQ7nZWlamxfQkiJ8wLytX0jo3+m3GswuF5wPw/MzjQN0WQeN8+jvLvaAvQssV5Vcls63yjawcbGqrBStWrFCNGoWrwb7zzjtq0KBBqkmTRNpKvnDKKafontcnnXSSPq+PPvpIzZgxQ91///1qT4QofNvy/UGQjcbs0ycbAX+SOg+EpsgkiOqmHX2j7QjfR4/YmvWqxMXTvGMFKRGatd44Bc8ZfVSTQSa+gEWGOh1xGkWAqlY1j5pds6qu57vrs1naSCJaKkY3k1vXhOaxJgNBi3cmL9NiEaIWLpuRrH30FLQVe6knRywGkbRsRSQu37+NFiZrUz8xq3Lp4Na+48QxuD/iXJsiWYhSsSGwKSEMJtA0PGrdalZNoHIjovbrt6fo1mK26AefCTLo7fWfGldawrG5C8QgtIWXTIgojQhZLVq7OYHyiTCQqMpK//R0gdFCoERadHG/2UjlPnEPTaM6du35qekHZz09Rv33wn6+voE9/1+6oJ9mC4jKbbYwr8me0xkfy/tcWDsmDOh0xIB8FemA6vh43/by53jso7Fg2odXDdbrEePl9uNSq92a8IVuQtZSNArAJYNbpe30xQWxkgdBo9CIoA3Z255wZVh7KVEJp4NERUAcentcIKIWJqT24tj4XsF6b7bDoTPEf8cu0uspavWMF3tuSismc6yNX7hOz2cttmmJLDL27TH1n+9idawEoG0kCH9aSxaUXUQiqaNE0POGNyf7fzMZPhMWrdPOtdnKDLYDfaIRLwzrNmDDFESj9hZV+rP7tVQ9m6Un7Hftge20Cnmy3ubiSITZInK/s3Hszf0l6HRRo3/8u/k6eI3yeBAWrdukxi8qUb8Y0lad1KupOuOp7xP+ThsqlPMByYEnR8zXgYgwB9s8N1S2uzeroyYuWqfem7JcO4ym+NTD38xVz32/ULc6uubAeI1prggL4AaJjjJWTQf7d0eUb6sJaG2l1e9bF+kxZpdpsYYzT/kOWAmrSrf5SYO4EGD665SoeROUt4EYK9les7VnOpD9yV5PjurWWP/kC3ee2E2d/uT3eg7fd0pPbbu9NTFWDidOrjB1hFGXLsyuPYh+RdHfOtX6K+ruBDiyBQFLEiOss0G2ys6yMj8JY4tFjpy7Rs8lhPwGWGVAP2XkXKB67bXXqttvv1116JDYzmLZsmXqT3/6k/r888+1k1tRoAZ84sSJuiVXq1at1Pz583XLsNatM6c5/hTgOxppONiogDL4GxkTHlGL83eWqX1b1NPCVgDH1VzQtWNu/J+/bTEWWbudCDU8YrQhoGW2JpFNbVug2ZoIFnY2ABPYDxifGC6IMvBjtg66aFArdcObUzTFmGyBONhck3xjLotIKtxyZGd11ZB2WiVX+jDK/THrxmxgNAb1UTRx10k9tNERtuDyOu1BbGB44jwjbMamafZwBGRx7E3TZyV42K9t/XJtxx7+NpbBfXPiUh0NNxkPIJnysgmo84kOduz6toV4IYjqXfv6ZJ+5YStGI4zHcLj/tJ46e5VpdvnLWbHWXif0aKI3uMJqBWqFRwUD3H7zEWTalmLmilgrJgIhZ/VL7HggIAv0o9fiI3ZNO0MNjFwVnoOeDeI9+vhZbu5kQFH4DxoDwjABhZYwn41kaq5+W7nK5T/DGGIMp7MuZtOD25wemRhA8f6qwYNGXs72vmcCCU7CXrLbUX09a5X+O+JedjAwF4QZxGEgo//p9JUJATlznVxWskXPVX4eHz5PPXd+Xz+D6mcwva8yRapkXG7ZvsM/J/arMKdtuSH6ZgNRKRgArDt2Z43OjWurVy6Oq8aftm8zX6nfNKSD2gQSeLz3y9k62J2ug42D8tDpvdTVr8VaMn4yfaX+GXHD0LRigCf0aKr6tirye12bYJyQ8aRlVxCEYSMdQszrSxfsm6hNw7rgWc9fU6q6Nq7jr3HL12/V9ZvCVBPc8v5UHQTFmSSQ/tjweX7QxR5rfzyqiyqqOVvXlEsQPF2hdubEfV/MVk3qVld3ndxdHfXwiJgavffcJWiSa7DTRlhSIGgapdMHG5jtVYNw2j7NtM3E/JCA5XtXDNKdL2A4ISqZSUslCXTDIrIBGzIbEEhgzIYp0WcL9mh6fbeuX7NcZxQR46JDBgGw7VYwWsYbLCpgd0xIBbmW/q3qqQdOS2TL2GDcwQZjX0lHx4ZuDv86uUe595Z6CTBpp5YNRs1bowXzKLETFqAJ2C3CJoI2b4oND5+7WgesaafqHGwD1atXVxdccIF69tlnfSeb9lx33HGHVhj/1a9+Va5tVj6BmNnDDz+s5syZo9asWaM6duyoe2HvqZBNLUwl08TVhmqfAMdGnBuhxOK0mJmrsQvXJkR35W/ihElmXF5vYCyk2WZifvbM92r2ylL11Dm9dTQYdVPa1kifZLKLONcSJZTIvXkbzDtiZgtQtM4XuF5ZUAvs++Tte2Qonh45X1+PqTibCpu371BnPvW9Xkxfu2RAqPMShHtOidUosqhd8fKEhL9JL1axDXlkybLHAsYNiuk8E9nScWpxxiWDwfMjsgnbAQTt/baDUtXzmMLOAYq5PE9Rmd9mCBvKfedZZCKeJpkkjHWwX7v66o9Hx4IPT42c778H47N8Bjt9kB2nrIG+pmEOth0TgAqfb5hXIUZCtnYifXH5CYNstEGGfLr9SPks7IkgQ57Xtu3Y4c89ridZcCoIlZI8X/O1jI7pZ+SDQUDylYv653WNEuxM4sxDyf7f1OXa4YzSwZbnaTqi3EucaAx31N/NgBhMB2nhAsYuWKfOMBw8c1yUBWTHZJwBk2Ug95cArmRa5TdzE2ORANuhnjp0skd8YMeG+n1QvE06chBogYPaMHR36fMM7HWK64rPwfTHF2wzqRFXRkA5XSYKashhbXIIwlx/UPvQPV1aCUnLpXTa+QUBFha47YMf1XtTlunMvzjYEoiwHYHpyzfqdRXWkgQj5Xzs6Quz4w9Hdtb/vvOTGToBkO4c5hnTB5tgDMF0s6wi2fnlirDnJ8ON8pcr92+rznz6+7QdbJCso8pNh3X0SwIFZLKZp9gMYjekC7HdpJtDFMB+ylF/MRBvTVqiXh63WF0yqJVOmARBbE5hKPrlDDlmsCWYohXwvX/D0hk9f61ek8yOFtjAlD7ilA+/Pl4WGwbm9tAO5cWQOzaspTsHZNomLZhhGfz3qcviJYQEpj67en89F4GUJAYp9e/VGez77rtPXXzxxerCCy9Ud955p3ryySfVN998owYPHqz+/Oc/65roXYF27drpnz0dmWSwU0GywO9OWeZnN8DsVaUJDjbR2RJjMxFjSfYAoYhLT1FEasiemk5uOijzDKSf9W2uju7WKKGn4VVD2ursxn/HLVZrFq7z2+QkGFzGv6UGnHOPknKTDP4C7Dl/5vk89M1cTV8TB5sgxuqN27Qxa9fACziMZFIyScpCmcPw4LgYYOaGalJ1JMfPX4lQQ6NL9j3Sq5pjLPcEpOy392yWGNwyn49Q9Sql2LhsmAYE0VKzBIFMeraGnW2MmUwH08h/8PR9Epz/TDPYPh0riRFmZ13CAmjQ6ob9sExH1E9M0gYlW0RdS2gLs6VS+U+2aWO4/P6ImKFsI+Ys0eYvdt++mU05ww+h0fUgEChCjCdoPpoOYia3KFWZR6rewZkCSjLlE387vls5poPQ7oMMbOkpLD2G85nBXrdpu/rdezF9g2+uG5LgUNr31jTSgD0r7OwY95me4iwl5rov5VBmaRWZIIKfaJEQZOtjtNc5s3cL9cKYhToAEgScDkpr0rlfEvQxs5K1DSYH443uDz4zLMM5aO7d+tgRGq3JAuay7u7bvK7O7mG0R23b+A6sFYCSrB/zXZ7puEUlWifBnGuMhcAgU5r3mOAIMPtOm5B1rVbEAbKwIIvfj1rFWDv2vkk7s+MeG6mDke9fObjccQgmIeTZqqiGesPqcW7af/Hvy/4aZL+z+9VjFxG0YL/t0axuxoyzINz12UzNtrhkcGudyIjaWXxxzELNsACUyb16UX9161Gd9ViVrL5ksEVvJV3QZvLB03upIiNyAJsN5iFzy4TYlLnatGYv92zhl3OF7G2D2hTrhMvFL4732UN1PBdUykrMdXBPQM5XU69ePe1U42Rfcskluv/13/72N3XaaadFc4YOScGg/fNJPVTTmrkPzOrepoB4GD8CO0NUqCfBVn+zw7CHYt7Tc9ZMB+f1CUt0lJfeup9OX6H7LqaDWl7bKjIYOA/8mBBDR4TSxCl73KuVA+Y8l3ZVqWo+o0RTMjJNamvjK2ixNv/7zKgFur6PRfrEesGO0n/HxWo+M11Qb31/mpq0ZL3654nddfTzqK6NYjS7gsrqmG6N1WvjF2van0+5rYRoR2xT6NG0rm/Y0mYN4+9PXlZXqLk4G/Hsd/LzMq9ZNtJyGWyJ4Frt9gRieOJM33FCd/9Y1K/Tf1R/T1mZ+v1703Sm6leHdEjbaTENrZpeXT9ADV4Qy4aWr1e2gaGH0WNfn8wbCWgFgec0fUVcTTMsm0/f8Ue+naepobk62EHXkQ8HGyMEGi+bau0U8zFZFjkZJDso902Ce5lQry/wSh2CUJY1Rbz85/MJauLQXCgJUJAWJxd2EMyNR87a15+TklHIJaMRhIIAB3uZF5yjRtNm5dj3VsTxVMi4sLNj7BtPnlO+xVacIh4Xj8RpOumJUT7F3Bz7Vw9tqwa3LdL7XBDIsvJjY8Tc1ermd6aqLk1qq8fO2lcHO8XwNvdVydwwbN+6dIBeX7LJYONQwT5g3cE2IFAQZcAmGeR62FNONmqAcz2eGVyMO9iJ64bYHAQvzKAJmT+oyZu9wLTsLYwb9hEx7DNd58LWfHEeo85g22OAscE5x7Uy4u+RgL7yEhRyP4LGEc41WGBomAjWlm7Te/sJPZv4gQUJdkCfJrjbuHZ11SZNmriwlexyCFgkUvL11bUHqILK6d871i0SQgS3zjHYYFw3GgvpaBNlo5UBs8IEY8ksTQGUIACx/9IFttegNtWC1yvLDpDzq5TB+kDfduaWMEWigthEYfesfq1q+ockF8/cLP+UshKXwQ4ATvVTTz2ls9irVq3S/bAdKgZQ6vbv1lRL26dSyrv4xXE6EkYtLwIXNsLqhuz6Ftk8ZDOhTo8fE/ec0kPXQhMZBbT74YeNgbqVi14Y578XepMNhMzAH4dNU2+3qqfp4mR3/3xs1wQjTJwwEV6ZExJtFQM7UwXaXHDqvs31jwBjlcyw9Dg292g/q5Fko6eOWpCJPVDdu+ab3vlBq1Ge3KuZzsyx4V323wn6vHCw4zXiSm3yFJqFSkkGHEEkyWyZWd0pS9arxnWqBZ4Xz/ufn83UUfVfHdpBbwRkEcxnY4ruATQCGDdhz0oMT9Mowpj8zWEd9ZjECMeQ+mR6TCEVBztdmMekR/jPX5mgyxFE4Ew2U3NOBNlanMORD3+n6wefPKd3wt9kLIowXxCaWyr3YTWrkrnPx7jmvkmAJVMgIvXEiHmqXYPCcvcf1ga1sungHyd112OH/rU2tIG8Zbt+ZrYTIdlBKSFIhzWQCcznYY/fZGB+E6SyM3ACsqdfzV6tOjSoFYkBJONi09bye4M5bicsLomJA3rXEl8vo83EicNs3j95NkGOoOlfk9mxg0j2tAiq7wyC7CGU3fA8CDp+6Ckqi7Cm+VxZT1KJYAWBMcq9FEP/zk9m+n8z761cO8OVOc04FUcpEwd7VelWbfyjHcG9qkgH2xaezBXVAjPYweud7P8E1Mz3c/+pG4baTecMWbehlJ/3/Fj/fZlmAGXcPfztXL0vUzuKTSXOY9Q6L6guX/P6ZB1AQoBOhDXNwLZJLRZIACFVKU4QTn1ytKb7v3Zxf217IVAlz5YxhtN9Zu/mPpU8FeSZmWUbQO4ZTyCTsjdA3f3bk5aqwW2LExzseGZXZYVUWhl2gCWINUc3FBDGSMwEEhiymaqZis3BNLztg+ma/RW1g50qgy3gGeNcm8EPl8E2cNxxx2nxMBs7dyKHvl3/XRqxg2HDhmnBMYddCy0uFkK7BdQ6I1D1wFdztBKmnf0VCP3JpvqYKPSoHkx8NjmMKOotMIZlkaBVy7Pn9Q004oRqxyQU5VYigrd5kxfnjmAB/yWbLX0VMUbiFOJYHdvdn8/S38EmYQq8VTSgaN5/Wi818O6vdCbXXIjknNNVXs2ktt0MnNALuErlutoYkH6lGJnAzGAPbd9Aq1MLMyCIMiW1ymzCV+zfRtcc2f0tWXRhMUgWqLhWNZ1RgopJtkjeYyLVhh3kYEumHgr9c+f10e2ZBJk4n+YxuccI1VFTb9ZL3v35TF3DR0aKtwdlKxDYY66JyqyJsCxMwjVam1S4gx2dI0SLJAFta7Kh1gkISIyctzahe0A2aFEvsZ7UBArJQS2fgjPYmQciWHtwcoj22/MyMYOd9iF1e8BkLZimLtugVY0R/YnGwa4cKqJlG4nm/9MZo9kAxxFhInOeyfoTZFybhuNFg1oniCEGGXPSmi8VuC6+Dx+WzBMK89OWbdDZfnEAotBNiq+p5f9mBnvMNZq1kb1C7M9MsqtSKsV+IrXQUVLEk+GaA9ury/Zro+8r7R5rVSvIie4rQmamwx7mwJqsJ9vBx9543rNnqGO11dazymB7DxYxrO/nr1VHdmmU10A+9c4fWyKjAMbW4Z0b6jItuddlRoZbmChhQZaYQFtqtg2JAWj/iFPFXosH49NF/9ZF6s4TupULlvrle1UzL98LE000bZmoBS6DXme/+WzGSj13aeWHMNqZfZrrAIC5r+bK5tgalsGulP39go1w5csTNNvn6XPLs32iymBPWbpejV2w1i+vMK/FZbANnHrqqVpALJP+1A75AaIu01ZvVts3b01Qcg5CPNoV/HezZVcyXDSwtTpln21alVxUoImssqjI4infhcGy/z1fa4PhxQv66ddoAYXzRsgyTGFRWiSFneNn01foOmZ6iwplWTZaoZ5wHVChXx2/WEf0P7l6f7U7gHWI22PeZqmbSmaQZGuqmMabueFI/TeOIAYZVKaTejZVzepV1xtyx0blW6aYBi2RdNTaYSCEOWMsutgyXJ5ZOy0RS3lPJpDNgczBkPu+Ue9ePlA77n6Ud0eZn4HH2MvEeDIpxBL1Zyy/cvFA/V2yUXAf6bMZhoaF1RNak2SadaaFkoAe77ZwUTlKYgQGHQ4dGzlMh1wlHTJVi84GvpEX8Dd0H6D1i8BMNhnsm9/5QSs567INK3Nau0aBrrsjEBKlpkMyhywbyBwPcrBtmM/KryWNmOrKumK3DZIAblDJhHkbgsoJ7OFlXyf7BAHWgW2KE/aJu07qXm7dEQdfrj2TdQMRRLQQYCzR6qv8GK2U8B2/O7xjQvtL3QqxSiW9dp397BhdM59NBtun+G/doft2V2Rdo2TqLnh+rA4U3XtKT7+LR04CrsZiJFlOO6jpU8S3l+88wv5GT2P2KoTA9PuNgNmz5/UpV4KWCmW24+N9Z7+WRTq4K45ovkFyQcrl0KRBZJQxIEM7WfAKIGIITZxMtA2ZH1CK0b85tFNDrYqf6NilPzYJvtsBeH2OObCw4jZrcLAw26U53qIxeP+yA3vc3zcnLNG15MU1u2hb+PwB0SUVqxfEzsemvGfaTlPsm4Qygi07knZJSBfJBEkBzjUtAM3vxX/BdvMz2BXEtqkoFGTbCsth9wD9Hm98Y7Ju4/Hk2YlUVBvp0knsCWJTIOn5Z4J+m2Qzbzmyk1ZJBWRhBByNze2K/47XEVcMXxafZA5KmFiMLHzyd+l1bG7y0t7owgGt1A+eKA6Zo4oGBhd9MfdrV5wgxhSvK42/Nx1jKtvNQiji9rM0NzSU48nk3HJUsGhUUAZb1L7DgiECqGs7dDYw/mFzQ0AZM1NIH3T5eeK7eWqRR8nC2InXOWeW2TVbPlFfJrRTU504pDQ8bQGpdJw9KLuC6w8Obh2kj7UtWkdIxgfzBpo3bd/qeeqvmUA28qDNdsyCter2j6Zr+vzfT0jem/rNiUs004Kepna7FCHjBK1nV3iGtCCbzJJ/2AB7gXnaNqAlXq7Ipr9sMsi4QMuC+l+TEXDz4Z3Urw7tqPa75+vytO08ltRgnE5YVKI6NS7UTCdxiIKU0837wPvodNGrWV3fEDurT3OtKs7+89qExapTo8QgM4FfjEd7nzDnpV6Xysp84TM5n0yeAeyduas3lVMxtzNM8TrZ8seAhUGHB0SlWCOoZWZNpr40XdiGNpnefPYDDoI4AdU8pyBKijhjlh/bwSEYik3A+k3QHTEoaVV26UvjtcK4OcaFKs7vVO0x03F8JBuXLl06U9A2b8HaTapDg0LdIgx9F7sDCfusdPAQyJ4bZlcQDCL4RK92G/KRdycv0/fv14d08B1suftRBAJzyfqHBXLLKjqDXVDZ6GQTfVDZDuQI/BKBHO5XVKyL1sW11JX7t9GMsiDstG7LVa9O1MkXOuI8cHovvUZn0vZtj3Wwr776anXrrbeqpk2bVsjnHNKgUaWRckpFm6H+79nRCzXVxUSq6FgQZXeUR8Uygaonb8V5OKxzo6QOdthEE2aXbC52RG9o+/rawabfKC0J4pSy/Le9sYGhBq0ddXAwct4addPbU3zHoCxoI0zCS8ymr6jtZJoZWjImQhHDwU4WPQyqrzEZERjvZOGbBG38Xt90/o7IxjnPjvEjptAX7e9FoZMar+O6N1Hn9i/fxurwLo30z8EPfKszNWR9RFBEjJ1sa5MxSBGm45zMOuvnRi8sR99+Zdwi/SxP7tW03PeIEx5UjwRV/pz+LVIGJtJBlI4Q54pQHBlbsl+XvzxB98wMauuRbqAiqGUMYwDqXDr9Qd+fskyvF1AkbQfbr7NLw8rLpjYyleJ3NsABQ9CHQ1MekynLKFPIXPzX57P0zwOn9UxsuVgpuCzh4TP20YZXppm9VOCZiXIxXQT+eVIPv5d9UDCMPeXqIW31s6AEhNIDaIzS/UAYMgd1bKB/bAjdO1kA6t3JS9XfPp5R/rszMM5DDX3vtzzPeCuf8vs1gSxouDjY/D2bVki2I4W2RpjyedSAKk03DFGdzna/Euzftlg1OK5rYA2rHbiE4m+CTKkEYcW5Nu+7KYqWrFWVDajgH/24QrcrM4+TrZhWuvj3N3PVzJVx0Uu0VGAQsl5w5vb5z1ixQb0zeZnWckjmYPO5jiG9sGX9kyw4/yVLjiNvMzPSAVlKusmwJxzbvUkke5jM0XCKuMoKB3VooJMycv9SZrCrVI5nh8vKdFCYoCZaKlEEv/1gk0UR59joR6T7HUEik3FNmFwd7Jq6RCQMOwP20To1qur2bXta5lqQ1VVNnz5dbdmypcI+55BZlDcMcYM0+O8YL7ZzDUQd3GwDMn35Bm28sXmnm3UhwoyiJ3jw6zn63KFyBgEHihYbOE5QkaXeVzYSoTxBySEDc9+pPXUk1m7tgTEvzv2Jj49UR3RprK45sGLat/l9sL1NXdeie47fI2fuo2lX6UaazYwqvRkzgUkPM5899xKBM2pi1m/ZoerVjGWDOQfbSQ6qr5ENnz6iBA9QIn3iZ/uWU9o1jU+MeJOOFBTtJRsE40FafyW7Lu1gb9+ZoAegM9hZqrmyqYrjQ22SAIE3AeUGAIcFB/uIzg3LGQeLvfr2INElKFH8pAs2a/QLCgOonqWeeFUUDvbToxZoQw5QboIYYbYq4sky2BgeoDAN6moy4ZRkRhRGGz841IxlAnbUEbapn349nBw2aGUl2v78mIU6SHXp4PRbUTJeuK9htzXXzIuNBrWq6qCXdIWwWy4yryXIZvZwpl1OPkAwTJSLZczu06KuuunQjoFqu4w/aq/BsKnL9B5lK4knQ1i/dQI3qG3jlNsK/X84opM6oWfTjBhDcUM/8fV4rWrs7/NWx9YU7oEpylSuljiJVkoy2PtHkCOfL4xesDaBuZaunkgYUKdOV6E6CDj4tuP75MgFuq+x6fw/MWK+dqgkO5sMJ/Zqqga0LtKMQfkOcXx41jy1fLQBJXttQii13G8YhOgaUHrx1sQl2pa489OYmB4MJMQB7eBkOpChJDbLPz+bpY/NuM3GgYVN8of3p+l923SwN+eUwQ4O5LYoqqED5ZnssyZY/5KtgbbZwjrlB892lKk3Jy3Vz0aeS66Awg9Tx57frJl2cClTB1tsJdvmixpl3ldShvjNnNXazrtwYKs91rkGWV/ZMccck/FnduzIrA+yQ2qEyfcHwV8UQ6KOciwUnJ8/v5867KHheuGyF76Pp61Qj3ntsOhrF9ROpG39mpoyB/WICYTY09FdG/vCK7QqgUId5mCz6EpWEuNYHGyBWa/HOcriJudK64aDOjZUczyDBiwp2ZJQ+5tv2H0pxdhi4bdV18nS4OgGUbUEkqnL1PYi8PDimFiLL3vzJ2vC967ZhFO7QW+A/VvVK9cXkftLhslUy0TQQyCnFJQJiNMi6Yue+Dc2b5gT5mYWpIaaqo2L+VxjGezcM7st6tXQGYvxi9YlZA+kd7O+1rLy1xQ1Tnh8lPrt4R3VaYYivYAe8Yd0auDXGucCs3ZRsplZO9hJarDDnJ5MhVPEIQwyaH//3lS9Ztx6ZGdtFKMRkKloW5DugIC2VxhQzIlMHGzfaQ+lHkabwUZ4ip+jHxmhDZq+BmuIFkYEjjgXnkW+x7E9nsh4AIz/dBwAad14y/vTfMGnL2eu1Orf9DcPmh/xWvJEU2f+mlJdX88cf2X8Yv91DGKcukzHvazNdkAJlgoOjmQJ7TZi4UHZMq3avGLDFtWhYWGoBoMN+7zHLljn1zlWFJsumbJyrrj9w+nadoAFZJcDCCgjoPc7jg37KTXtNkzn/7Hh81Tj2tXScrDpVhHW7o117ZAHh2thwU9+sX+k128HCko2xfa7uIp47Pcdn8xIsA/IoN57as+svlPukbm3yp4cr3FOf54UevM3Jh4Z71jA3L/h4PZ+8iUThOkG6ZZ5AW3zogIJHdYhgqXXHtguxqTx7bOySBXETZsoV8TPMbavcd5+BjtHB5u1FiYj+zFlLZWssSE2xdL1m/VeRHCaEh+SYOgkkcmGcaP2dgf7/PPPV+vWxTM6mfbNdogOYdSRINAeCREysmFBkBo0Jh90EWriUPezFY3NrCATJSj7yuaHg33qvs3U6fs2084yxswdRpuSZBQyjvXvM3ppKmlQxsIW7ZDvPqtvC7V6U8z4HT1/TbnIZrLew1HDVHRNRdEnGJAKOOFXHdC2XNu0VEB5lwWP7JVNe8Rx43w6N6qtVqxPZAmYgJL59XVDQr8jWT9Gsz9nkLOC82o62GbLlSB8NWuVemPCEj8AY2ew35i4RC1fv0U9c26fnDY47sNfj++m3piwWP3dGLcyzJOJeiR7RlBkSzZtU8f1aKLahtDzzHZuZpAGoxtjsKHHZiDjHpm+gHEdMAhAtirAjDNuQdBYorVWuj0vk93jnV5YJ+gU44J32WfwgnQH/O/2Dptptso81yBqaq7qt0GA1inq2iblm7H0+YyVmu5qlmLgBFKiAeMo197qNsxpIQ52uli2frN/fsx59j7WNDLRXMv9X87RDAWTel8aEsyRvW6+kRmkHvXGDFr6BV2XPU5RTu7fOq6N0rdVPTXsh+Whx5F1g7WPdYL2UvbzSQY7C4UDwDM220XmC7ZDmStFHNuCPsdck7QVHbNwrbYJLrZYXK+NX6w+nbFSHdWlkS5PY0zQHhD2m4m/HtfVv8+w79hLcgkkco1+aztvrMHSyHSPTgWcDzM4I0rMNnuQ69hheNiZzjETiJrRlvPLmavUuh2Jys/cO0p8ejRLv4TBpCBLVxmALk8QmyMd9G1ZpN6/YlDOY80GjuLtH81QkxaXqA9+PrhclpUgHPoIzC/b/iWoTI9w0KxutCU2Nnj+fJ9u05bGGC6sVqDngPlen+2Xo4PNGkxdNSDgf9dJ3VVPw64T209a6TJPUPdn7MLCgNHpHGxUIi+4IKcH4bBrarD/75jY5hIGqYGTaKlI59vHNv+PAQG11I6ymZFdXpcIvClkkyzCy2cGtC5WA1or9anXz9hUSbcdbDMibWaJ7HNP1ns4avjZCCuDjQr1y2MXaQcrE3oMNM8b35qiF6InUgja2Xj+/L56IbZpe9zjdByWIBzVtbGavsJThUySeXvqnD46ws55rwqgTNt1XLJZksUJAmJmZJ8EW7bv8LOiUP2+9IwmKNyZ3icbKJWbznXs+2JjKuYcBeuMSu1k0K1EbZS6QOZOmINtG3wEuSjLuNDrHz/6VweqfAWEEs4jS0evd8t6asSNwecYz2CnHvuyptjKwKC4ZjV1dLfGgbXc0qZLDMJM6izLZ7DL/803bDNcTsxzYHjbdjhrwsA2RaEij9mAjJ9cAhlRYTuEKe0SnKI8h/satYNtXj/7BoE96d9MADZZsMgsLZG9Q54N84VMjN06MqwPsOwftHsUXLZfjIr+yLdzNZX7vP4t0qbKp6uaTwYUB3tQm0QGk0DWZ4z2sHaE6fRZN9lF+aZ+CsySJ2C2NswGMKpufneq6tSo0Heww7omQKGmBpyxK5RjxogZ8Pjimv0T2ofefXIP9cvXJup2gtkGtGhPeeUBbf3SOckEZrrWpALaCf8dt1itLd2m9z7aoAFZFWWIsIZv9ZiijHkyw9niWq/OfNqyMfHWSqKW3qqoHAsvFbQQmNdGlXkZlujJBMxju+1XFCCwxXgCb01aqs4LCHCJXo4Ev801gDUXBJW9ZAM69eCMoi1wtZGZR63/ohfGaUf+ncsHpfUM7PaPBD5IwOQaDDCHPMGxUfPWJjjYEvcx13FK0oS1WVHtBCsSFa/85LDLarBTQYwOJsdtH/yonRXqPtjgwlqhFFYr8B1IMypWZkQCTZg0FJtSFgZaX1Dbe9ux8TYr9BZEjElgfrdZt2nTjvKhihsGM3MLTNvrrs9nJUSk2TT5SdZbHMcOg9Cux0oFjgk9HiM2mbEWp5sFvwdVaShoiHsBiV5TDuBfW8Bn2QDJnJniKET4UQMO+kh84woe06YRC+UV+qc4bdT0CKjXzBWlASUFInAjtzLIqPbHYADFWChZmRi+fAdU9SBDgEzXAsNRyBb07bSRj/kS5vQEQZxn1iQb1Bf+5diuutWMDbvM4Jxnx6qD7v9WizClC0SEDu/cSLUsKu/0ySOvkmMGO+h6UTVO1v87E/Ad9AoXvDxuccpriFqZ3gYCasKSIFj233GL1M9fmajVipOBOm3O9K6TeviviQMlwWGbscC6wzix2ybJXieOKDRuxjprMhnfT6avUCsyaF1Dy63mdaunDIyEUdYFqEMTSKa9Xzq6HEEQhkhF73lNDQMd4aXCHNuDBdk2YS2dJCjL/igG/LApy9SDRlugoCynGP3ZMnXMvTJelhS9WU3A9v+O7qLLBUCJZLC9MSLnYe7vOHeUyh318Hfqbx/HWrZlA3NO5cIIAmi+ACkVFK0TAtmiExEF/vLhj+qkx0dqJkM2SBVwwdl9fcIS/W8pl8QJf+j0XurIro38IHxUjEkSE5TCjDBYbUEaD9kAvYmXL+rvB1SyhXnPfjGkrbpkcCxgKTixZxO99ttdEUSvprCC2glWJPa8K9rLUFSzQP32mK5q57bYgvXelKXqqZGxjLINnJHfHt4p1MkyDX4ogtSxmA6LAKeb7AMRLyJr5/dvqZ03DBkB1C7w5sSlCS2qzI0xXRoVauBFteqVe43syv1fztbR1cQMduy4LD0XD2qtldGDvj/fYDMhOkdmRp9PEjXiW96fqhkDr13cP1TY5YuZK0OFs1K1+Lhl2DSdMRXjVjBzxUY1YfE61bIeTnLyDDZ0SjYV6Mtn9mmRQKFNt3bUNOrFwbLHYyqhH3G8ae/1R6+3LbRpnFDZwPX5rtmkPpy6PKc2NUGGsJ1ZCnawwzOVm9OoebJbY2FsVwu4Ha+MW6z1DZrVqa6pdrmA74RWL1lyAmv0r48aOCM4renUjUvLj0ycnaAMNk49gY1MqISattgv+G/Z1CAGjYt8g/Pbr119HYgBZgBP1iOCfdSrU7NK9tMPAOWhhhawDhFcY9xChU7WpssOAPVoWlu/nwwe40iWVNm7oB2aCKN8m9+FQ4vjQqs/RLAE6ajTC8Jq/D/5cYX652cztTAWYkQEOs01wAaCbiLqhuJyNs4frA72RNrhMW9S3deoINk6ghcEvnLN4vrsPIOF4juxVvAnyJag+4C0O4z1hi7/nh3esaMoychX73gTIrDpZ7AtsTHZk6htJUCIY4a9QM/hTMHcxFHEZoTRQrZU9mQSJ7RbRXg1kwwygS4C3wRBOnnyO5R7Pff9QnVOvxbqhoMzK9FAAPSFMYtU7WpVfCYB4JoXl2xJSAZlApP5ENQm77nR5W1s1hAJgEhQqGqOrersuWBrLWUqNsccQsgYm+Xgjg0j1Qkwz0EEeU0QNObniZ/11uLErIF//nC6H4zYEzPYzsH+iQMH4OcHdVBr1mxU27XhsT2B9maCCCGG1H8v7BfY29amXYdNWhZUxMmIDtKHO8iwuGRQaz15EPQycXa/FtoZR3Qr3cm9csMW3aCejYvF3kRglN+gdtrGSUU62NBkX7m4v/9/7jmtycZ5itSmvy0bVzLlVTa4bCAGFpQnosWmYA6CMNxbeq6KkFeYsSEUQMm8S/sTxhsOrv5sACkaOjzvOXmfptooRvDHpO/ZX4fjTSYvbMEVuppJr3/8Z739SDiOodQQc89yc7DLn4OMuZiztiMwEEDgItGRqRTQdzL8WUtQxvzOIH8s6n7FZrCDjEm2tYnUoEHR51napSkE7rQITRo4ZZ9muqUfmT0bWpV+Z5l2hOx5Lo60BGOiNn6zFSNjbpHl5HkF1ZWzNjCGcfoGtU0UVMoWPEfq7CidMAWLzGGLwSN/C6PhRgmfpbKzTG3xxrDURSfDXz6armatLFUPnt5L063lHtrdI1JBvoug86NnxQQdnxoZV8AGmY59jH1qwqmX7e513qDFEca+ZOxe9tg/pr5CGLIVGvz1obFezKf+Z5T+XbOCdEcwqjlTDOZ1m7brIHgusFtg8VuGrL12Jts37zihm15DbNBVRAIemQRTTBDEwJYhEInGTezc8ne/YY3hPAv7y+8M422isg4yZj6fEeudrV/Pgq5PORoZU9YPnDH2Ugl20LaSYPsV+7VRl+/fJqMgjO4QYmSrc9nDmFuINXJc08HOVSxy/eYdocJ2IFXnRrEJoqoND2Oq2s8/Hfz23an690dXDVbVCqITPzQDWDBHy0JU9SkNwH8Yaa2Be6Ka+J53RXs5oDR2T9I7kwxFkHMt0dGvrj1A/fWj6ZqOkmzSBsn9m5DspJ0FYSOUj9gOfRgwqP7nZWDEwcZwpnYKajAKsmZEO07PLUuoC4d2l+umnwuoWXrsrCK/f7NpYIsjkKxuLdtYqElTEmqZQMYCr8vmh4EYBKHbE7mWWmLBSb2a6lZfQfeXGnrapCHw07tFNfXiBX31GBh8z9eBmwYtPMw2HjZEQMQWMGOjNSmwwKaGZoqgLDMMkXtPraezNDzCZvXKO39hfVF5zrL5JjMobLYD80z6xpvn5DvrETmOQhdmrqSjqhsGnLQvZq4KHUvpgpozKeOy6XA4hde/MVkH8eye0nGRs7Ks+2CLgQAqRyRGhoP/6dX7h/6da0KgkbYsUTnYGNvH92iiHeygDLYt3CbZrnwaPCb7I90Mtvn8RJhHZlkYRTwMsveYwTF7P8rUJ/lk+kqd6SODzNoQNE7uP62n+utHM9RvDos5wckgtZ3ZOEdA7mtFBZVxAghWsPdHsR6ZLbCAmY20qbfJsvxha3GlCLQmSFoglMYeJj2T85nBltpnhF+ZO3RYQcRU6lhlXk1btiGhtWTVTMUirPvftkEt3bdeNBNs9fJ0QZYa5pkEoMAm7/lko2IdVxEPXsuyZSYIQ8D8joTjB3jYk5eUaJ2Ujo1qa7o44zUqLQ2bzWEH4dK9Sq12XikWXJVEwZ2fzFBjFqzTGhR2fXYmMG/T3z+eoQXyKOehi42wWrEvuzaprWuz7QRKOiVjPzXk/PTXrFmjioujMQQccgfZ5WxFH5h85macbG3ye/7tLNMZF4w1DHL5vK8qHXCQc/u10BGsIHGiIATVHPO91785Wf8bsZJCg8orFHHO4c8f/OjX2N1/Wq8KzWCnFE/y/h/rDx1tOwYTpuFqGxJyP8i0XDCglRraoYE6vHPD5A72pm36eXdoWEuraJ6yT1N1xf7x6LGN6t530HuW6CklBr8+NE4Fy7Tnq9RNUgeFM3LlAW10i54g6ny6YywMQcYSGymQjSMI1TxqGPQy85lKT9GwYwtwTs3WQdTlkvknAGY+wXTo5pkgXbGmdI8TZIhkiwe/nqvr/xHso4wiWf0ZBtxx3Rtr55ughjjamcz///vgRy1IRRuW8wcklsq0Ka6pnjuvT+Q9b+PXFOlhfcV26UEO7Ee83fvuDV4mO5+UPbN13+YMKOny/DZt35Fwv3yKOFnOsjK9LuFk0P6F7/jXyT0SmDs4JSNuGJpgPNvfn0nmmFIUnGtA25lyz9NQPX79kgGhx3l9wmKdHTysc0Nf5DFIfDAV2JOlrKJ6BVHEAWVjtBWEsj38+qE5HctmJRAwIABttkQS2N1CAOVCMAfCulFIEO7nB7RR+3p9rTOFzH8cHYKJlE/ZmjX5AO3ABKbg5R+O7KSWlmxRz3jCs4JsgjQS7KcMCebhbcd09fesMPZZKpiiqlH0YQ7br7I9P7OPtiSd2D9su6ws4D6h3UA5YjZU9+wz2CpjBoYozcs9g8UBGzFISDRbMN42bdup276+cH5f7ZN8On2l1ouh7BQH22aduAx2AK699lp11FFHqfPOOy+yh+Owa5FOdsbMYP/6rSna6Xrpgn5+zabUPplRVAA1CJVWNkRq0tJB0OJh0suJUJt+FH1vac9Bdvamt6fo1y4a2LrCneu5q0rVb975QUcxTTVrXzXbu8+mAZCsLj3bmjZz47JtNTEqEY8RpdYwoNos95vFUww/soxJv9/7jq+9mkKMXjODQ31iJpCMBJR1DGno2Gc+9b1PWTfRoDC3DGpQVNVuW5fJHJKMM/MnGa1RKO58mtpYQc3Kiefj03kjUseXqQYNnzq7bMW2JJAT5Kj//JUJWm/gz8d2Sdn/GAeFtmvfz1+nhacA/8eAkWkTZFsQwOMHrDdYG5lkl2S+BT1u5pQoxUcJuaZsqfmptATMDPadJ3TT6/DpT32vM3EimCRtEfNp8JgCkGLYpUMRl+cnRvllg9vowCBrKHtL1YLKOlh5wfPjAr9PIPf3lP+M0nP03lN6lvv+TIInpqCilLCkCjSH95KN9Ym9aGArzUizy6zSOh8j2NigAnpg54MaG29BWqbXAfaZb68fGuhM21lqBJYIMlAWRbulb+esUf84sXvg8Xs2rZs1s8108Ai4Jgu6RgVzPbOxX9v66n9Tl+kxZCIbETe5P5SO/eXD6Wr/tsX+/Atj9mQCAmvM/bioYuZjpiBkn/HV1bPk/YmtyFx+Zfzicm3EzMAxmhJRBqeTBeztDHY2VHh9njvK/HkUL1nLzT4mmUFpE8dF8HDh2s26nBDB5IfO2Mc/VzFxTRv+8bP23aXs0nwh5x10w4YNqk+fPtGcjcMux12fzfSVF5MtnvEM9s54HbThHM4LcHYAk+z9H5brBf8vx6bXOqcwYOJzbkS42VjtzZWJLpnLuChKxQvmkxHC6ZPaZRG8kXo8WYZNgyEZlStdSr0Nc+G0n6kck9ZhCHfYmbrE48S2qzJPXdukJ9H+h/9CLbajvUGR6UteHBeLpO4sK7ew03vy3i9nq1ZFNQJby6F4yeZ89+eztINNS4wg5xo0LMyt9QROMNfN77hya+xvUAPRByAwUa69UAiFrkGtqloDId1osfl56GcvjlmoM3GX7ddGz6WoaaCm8NiPyzdm72AbGUobBERMJyQZWB/I6NkGYyb1Z+kGNWzIO6PMwoM/DpumWTm/P6KT6uRRLstnPKN1sCVQZNZgM0/xKWUNkOtEVXbfFvXSEqHLFmaANt62LfUYlnFe6jFBMNLEUEvWkq8wQKwQp3zR2s16qpLttCnqmdCGzYAI/WAFcUckvePI2sm8SRXwTAYJ1NKrN4p2SOlCVPrlmeaC2tUK1K1HdtZ2haliEeQsHt6lkfrPiPkJDBOzVdm3s+OMoPJlJNln7sL6n/8/e2cB5maVvfEz7u4+dXcXKLSF0hZKodDiFKcUXVjkj/uyLIs7xaU4FNu2eN3dZaQdd9fM/J9zk5v5kklm4jbv73nSTKTJl0/vueec97UX/D2z39zYSfTMUGuBEksm7PTPlVI3hc+3+pUZpsKTYKwzERroK0qTOXvKLiSWXsO8jVxnrK0EYm0GiSFdB+XmlpNJcr/k/Ym9nvkYZC0VW1i2GbPj5aoJdvtRKvibXHWhWWdystLaKjgeA310ubpV64mVHar1ewtqDE42sq4KB9ZcYcMVep6I1VHHWWedRf/617/owIED1NRkO5l94ByU4itdnZOVAySZgVVe+O48vY84+PXFjKI1s+l8QtyVp85ydweXy53aJ4Zu0fsseYKY9/Zmo31WMmNzw+e7acG7W3TENeyNsgyS4WXkMma+KL9w/lCt6qqpGexhmjI2mZkzFWXpo/6gURn8sgBeV/CJUZlVkNZJPLC5+INtNPetTUJpvKvvl/DspnYf0huccBDA2YfDCqGwTp/p56O9IMtsTXpUEP1ywwSd3klrS8SZv26ZIvpmpQ+7VMvn8nT2yDa0nC2aKJwz0cp+Lh5As9LoEEUPWlfwrsOzwLxOeODOk1Nvrs/RsayxZYk4Zy3l72NlVkvxNjLw5IGPLFMOMdGWg9VwGdnPLQfO+h6wSsTkA2dIWlRiEDgxM0qbaTD9N6g/+O9j5QYFrVgUi7Pp5nK4pFYMOpRZxo7llt9NNoWPAz4nS4s5JfK75HmKM4Us7MMtCfbi4bMG0O9LJ4tg/spxacLWxRQVfP0Mtqno9wTzpNz1n+8SgRtPMEQE+WonGritgz2Th5pRNmzstG2ujY48J5rbNqOPHPQbK4+2F/oVa9bA1xquRmM9ju4m0ZTWZFyZMT49UscG1ND6l6W93Gpk6bigI2tJDoHXg3KswxOVU19cK65FDFt9rthbqPN/eJLFEj9m/SqEGa9uoCVf7LZKg+JQca1wNHlrfY5WYC67vMGKEnHD1xkO9rgv3dIqHK5OWjAiyeixqPw+OUEj94WyuhZa+P5WOn/ZFrIV0SH+9NvSSfTnLVN0tDN4gvY/84dohQ1NQS6n/BR7JKGUvedTeqsnCjsy2F7a7c1CwJ4aXDNWT23u3r2btm7dSvPnzxcnsdDQzuVM3377LaWlGc+MAdeBbXFY8fmO03oLYZzuM1QdAzPljCf3SLJKof6FTVkWwiXDfIB1Bwcl3GdtaBkMqYhzBnRzboUYICp7Xvl3WaoWagkyWO7wwVYv68TMaNEDKOFA8b6ZfcVv6WogZulsuU4Gw8t48GuKyBD3D/Lvigj002YhRW+c5nMMlWTJCycHqJxxFovh1VHWx8q7yjJzWappbNKk433eOqrmvB55eyuvh7boI5XbZPbgeLH8MhDQbl/NBZYD6eOl9TQiRXdgbm3F2BmvbRAXe31lcR4gvrVohMjQWlrd0NVg1ZoSYW0mTlPeKdchb1M5MWaqqAmLorDIoRwIaANsPQ9YJd/uLqB//XpUCPM8e+4QennBMLN/g/S/Zjsp3seUgm08OHxtbbaY1OEeeXPQCnUZsJDRlvzZ+DzF21Lf7eH9Tbmi8oMHuPx1DkrCaZdHMreL64w+UtxKViWsOlgslI65JWi6Qin69H6xoidS/X+8O2U9+ZiVmRV2QOB9KDEsUPg3p0UGme3Jqh9o8D7O1yc+T/J5T//YNYafZjn59/Hyc+A/KiXC7CyY3I/43OpIZBuRPWCRJLYHZa2XJQrFaIaPzQtGJIlrndwPrpqYRpN7R9M9K/YbrEaQ4xWeFDhZ1WCRdo2yB5ur/9jL/aoJaVqrNXvA2ics/CoR51TN9n5jbbb2GivFRx84s8Mm1RwMTfbLCRtLM8SGJn5YfZ1L27nqwFatSKx8bi1+RqyxmDcWjqDjZXX02bY8WjgyRWdZ5LmJx0S2yF53uE/YpoRaLpE831siAGrOmHPRqGSdbaS/Sn7eXySqA0/pE21xxZzHBtgjRoyg9PSuTyaGgm7gmsRp/Ov4YOhqRpEHlTyo4cDoQ40noP4JubuTi+z1sxTlRVNZAsX932+syxHWU/JkJ7HlSaQ7ZI+ynAE1przJ6/n8EeqTUFdwtoftRswNpjjw5N/N60J/oMlK3Jzd40GqvjKrIYzNhGuDfgObXAbx0SF+NDQpTAxslQNSbidQTjjILJWhMkN+L5eGc0mU3FflBYL3gadWd5QmvXPRCJtd4NS/UX0vV6G+X/dVn+4UkzjPzBusYyOjnBDhvnxuwUiNCqTZg4wHFjy5xV70HITyejBU9sdBrFQWtxWil1UjjqT0FDcXmR1q15xLZPuI3KZeZvRDSx9SOeHC5dUcIOn3dCmRrRbWZAKvGJ9Gr67NFn9zhksZYFtjAyPPq/rnJms/11w25VTQ1hNV9MScgTpWdrx/chsLCzZ1p6/gaCb3ihJBp7Qp4nPJD/uKRDk7byueCGEvd+XkjaH9THkOlaXwrB9iqi6IPvoTInxtYw0QLl3mm6nIc0pRdZPQ7+DjaO1tU81eHkOCj46AxbBYqI0nOGwB20g2t7bThIxIManFVVaG2mt4Qv8ePQtPHqzLdh5DlwGuItqSW2mVirjc7jzZx+c2PqZtec0xVv3xfz8eEFVg2uXwMlwKbk0/MGe+uXqIq8kkUiySbbt4/crqIrPt+VTt2gl3ngQ4d5h5k5TKypyvrhprc82K7qpAWESTb2cPSew0qSyra2xl0aWEr3t8HJhS7WOMf07vKyrsZHWfrXqwlShbF6I1VatyGKTsVef+drbzZHhiEwG2Htdff73277a2Nqqurqbw8HDytkD5Ejgf6WcsB9nG4Asa32T2zhwhDQ7qOAt1at8Yq5bV2EnVS1G6o3+BMSVLa68ScTl45kHCij2FNK1vjFHLNEMcKqql//xxTAQcj2lsYEzlh+vHi8GGfj8eZ5K4nE4E2Gaum/nDErX9hlo1SwODC86czRuaKAbGvN0v/3iHTgChnzmTg2Pu8zY0cOQ2Bs4cnjtUfXGTVQr8mcr+b3PWrSlIXQGZMZcTSrJETPrPrz5YTE+fM1gsD2965S54pLSO3tqQI3q8ugqw5YBPrk/u53dEhlFp42aN3QwH52tunSJm8ZX7hNQfYFVrU8sLe+kJofFA4GRVo/Dd5Qx1bwOlzHIgZ80Ak5dPeqpzSXF/g4Gw+QM7fasp/WNlev9Yi0o6TckA8mTUqNRIEWBqJ4wUByP3+D//p1oNm5W37RVgc9aCM4fcZ8yDMT4P8YC+O/SFpJQTEiz+xPsvB2C83Xhij/82VCmhFDQLUWSrOTP30C+HxATZraf2NrmKQ3nt44G3slLLHOQ5paSuSXsOsyRgk5NSjob321+XTu7SbtIcWECVg7ofrhtvUaZN1cVxuvSUXqICIr+6yeIAjSehNrAavRfRfT+q/YXtLabKJbVPzh1EV37SIeSn74PNcG/ufXqTDubApfkcQJ+nKHXma115fbO4hvEkMGs1mIN2UrqtjQbHqgPsygbLEy18vedxqD2Q+7ChHmxDyH1I7qddtftZAvesf6WxRn123mA6rV+s0IG5+/t9on3w7YuMa1AoUU6mMly5U+PfalObrFhN8oORh56+pRg/L4Nre7tWOAubqF/k5OTQf/7zH1qzZg01NDTQqlWr6MEHH6S5c+fSokWLbPEVwEHIrCB7CnO5HMvpd4W0EmFMFRD6+LLRlFtRr+OFaAkXjkrW9h4pkQc0Z7xkMC+xta1OVyhnxXkgqDxNP77qMA1KHC0GUNxfu6+gRgQ0Xa1vDk64h8mSwUBX5UVaH1oTMtjcd8rZvIvHpIrBhbyQdJHAFhkijpGUg3ceNLIgGgfM7OVp0IqnRZ2lVG4zefHiwXNcmFq1ki/WvG74fcpZY1tf4Ao1fXqn943VzZLqC6xo7sXAmLe74vUOxdSu17X8ydr+WFWbjjWIWJ7qRvrraJlo61CWx1qDcv1ZUyLOv91QBYy0MOLSWXMn/ZhXLxgmeqnFPhFNRltMlKWbnJF9ctVhUanxr3N0lYS7g3uDOUjnMnVb+azKfmBl+4qEBeyUdlK25Oav9ohj/btrx4lMgSzzlIcJn1vk8WlvFXHW3/h+T6E4NjgDzQG/JZnajqogFrCT/ctttP1ElZhMDG1Xr9OuMtjyfMPrg7OQ/ztQLB5zgG0qylYbnni0NMjiZebJQ3V1l8piH3kuo2adDxYScjS2bFfhMUWzSiUqUbS9oiZOBB8sqqFPt+WJv41dMmWBi6XjAv5/8rOl3oslatiW9LjyJK3seZdLrxwb8L708posWnOsTKiq8yS3uei3aXGwyaKTPOnI5wp9de3u6DhG27WZTV4+7tPlcYAlaueG4Aw/q5/fM6Ov8A23BDlJZqgKigVhmQtGJmuP9VN6R1NyeIDQpmFtFltnsLlNSsITHBxg8/mTF8+aNrTPrhxDtoY1k95cNFxoH93+zV766upxdDFPHveL1Y73+NiRQrdMiJltOe6A1XvAyZMnRRC9b98+OvfccykyUr0zZ2Zm0iOPPEKffvqpLZYTOAhl6YnM1BnLpn61M18oQrKQGXtJmhpg84l/SFK41aVUZw2MN6ikKT+XZ7q/v3Y8OQvOorEvKPff8YlQKU7ByIec+Vz61R7hEd0V0n9ZqVJrLRzAfqcRajJlc/BJnmdRi2oatYMS8ds04V9XnyFF0Ri+jsoLrL5Hp3ImVb9PVXrm8kWNM8CsWnnLKb1FEMZq7cqguitFdkuQ/ZHax9o+Y91BiLzgGuqZ13p+djOZIfsBeYKI4a/Q33+4f5YrGpTqudbCxyaXuHP20pYDZQlfS7m3Wf4uU+DjmSflXjx/qMhemjIYVoqscU85B06mZiKUTO0dQ9P6xmr3Ve3v0OzvlowHg7soEbcncntKcTw5bnxjfY6wM/xd07MscYQPtrzGmBrM8zHA50v2neaBmTKDLX8fnzP+OlYmfKBZsf8lA/33ykBEVgtw1ZbSX9icIJknuJQTjhKuVJr/zmZ6/s+OTE1XcC8q61xIH11DKtGmwm03LKjozmhF39o67JxM3S57Cmq0QYmxc4a2zcQGgV3H5Kn9AwWeNOKgWSJ/n/wdbO3GYqiltc3CgUFpz2cOfGywaNx1k9K1k1fKkumuxoiGkNdkrjY5UFQjnEK4pY9FUuW13Rz4nP7a2ix6+e/jOtdh/s2s5G1I58JUuCecg2ZpPavkpb+zxE25Xnmb8LVCVlxZWsViDGXArnU00Tw2Z/fdklshJjW6snuzBSGa40CKmvKk3yl9YnRiDKUQITLYBnjzzTdpzJgx9MILL5Cfnx+tX6++QD322GM0duxYoTB+ySWX2HVDAtvBgwT2KObsorIvVp+NORX0yposUSbEPUHOQIqH6V8c5SHrQM0eg/CgccV1E7SPORvBF74DRbU6yycH/t1lXKXapi3xUrQDmKI4K0/yXLbHIh+McgbV0ECGbZlWHSqmD7ec1LHPkpZB+hcHHihzkM33HAwohcBl1k85yOLZ759umCj+fvDng+KeRfosEa3pCll+LkudOkrENT3YE9LovU0nxLLvPFmlfV45uyyDqu6yHNdNyhCiPb8dLqUDRUfFd+rvzzJYt3VJIs8y2wLuh69pVNGdp/fWloxxz/i315g/6TXATC9geU7gyZ+OdW679SS3qSUDcz4v8GDC0P/cnFMhBoZc8mdthY8+XFHAwoQyKyUnbPj7+Ka/H9nVB1tz7MjyUFMV63m9X/7RdrFN+8SF6FSLyAmvuqaOQa/+5J0S3gbsx37e8MROmVH+b+ZuWy6n5cwzCx3yxDPv69VN7Cev9oM1B22lh43bXNwNpc5FfXObWcexHLBzxcvL5w/t9DprefAkjDU92Nw2xIrYfG3XZrAd1IZWqeizr9I4Vch9llsk2Bb018MlFldzsVDkU6uPiDacG6Zk0tsbcsU1TdlesepgCS3UiFiZgjwe+fhl/QcllqiI8wQJX3OZayZmCNtBS9T7jU2aGaoMU050GzpFyJYxW2ewufKpQnNekMGxJb/zkV8OiTHfh5eNokGB9lPwDtUcf6ZqLYUgg92ZnTt30o033iiCa33mzZsndoCyss4ehMA14QDpwpHJQkyrS0VrhVCBM5eVZ/j1M21yufUzfs6G1+mHl43uKHnVLJ5Whb2bjKs9qtt5XcmPXWCC0JrsS2ppbdPaRckLOouVGBr85FTUay+CEs5GSoXbgqqmTsvEdhQrl0zq5MXbYSnh02WW2ZJsZXdwvxPzjaYPatHoFHUvlEZLgK2NuKSYZ2nL6juy9cp+RGUGvjuigv071PpVbXSWXu+UdrLBhoGjLfn9cKkY4JnqeW2qz+4tX+8Rg2O2o5nw379Fn6bxEvGO0k1LJiK4DJ+zpWv1fHS7UjDvjltO7UV/3DxFeJnrs/JgsahKYAEyWyPPkzLA1q981M9yhdpxwCMDGhkYmBrM8/GQofHNZQ9rQxlspTjiHd/sNfpZ+m4FymWwRBuPt+fswQn00daTwvqJsdQvWK4XS0vEPQV57uTznzx3mhqIhWj2X96vldocEmXrjqUZbM4krjpUIs4P5mbYrUXpaS9b+2TGnyfMuPVCYknptdLXOUyj1TI2LUJnIsrcMRYLa11qoKycJwAsWUbldlNWitnL7lD52erP7/iCvKoGoS3BQqaXjEnpdL22FmVl31PnDLL4d2orD9vVE0SL3t9Kt369h2xNqOb44/MrH7/bTlTSj/sKxfqRKD3obTkB7ipYfQX19fWlqirD3ofNzc1UW1trd1VF4HjkyZAvKlyyzOUw9vRNNQSLW7BQmL6SpdzdWP2Ssx0Mn9TPGWq6HYwjkGWm3EdryiwzzxRzRlOWItqKKE0vtCklTTKjwCdG5Qmf1Xzfu2SUwf9jqBxaWbqVaYYgj7IPb2tupehlZ79L7jfU6Zuyw8SPnEySvtfCy1qTZeQLCJeU8XM8AOS+X4b75JSCH/UGMvBdwf2YrIYvvUxXLpmotULTZmYdqIxvDjLgsaUXL2fEWZCPZ8X7xASLQYKhLc2TWOp+ryCT+94NwYHuE6uOCMcELheX8DmHLdJM7Qft9LnZFUI3YExahJhI6ZQZt8M1U1si3qoyODhWq3OHidJaew94ZCZLZmrNKQ+Uk248YFP2wstzk1IccUdeNX24+YRQhNfn66vHiiyTvJZZo8/B15pX/j5OuRplZxbFU25PU8dA3Af/8C8HtTZM1pSIewK+igy2nAgx9Xwnr09Kj2wlcn/hcYulooLaREM70dCEMHEsO2JShINr7vOV64OrnZjLxqaKcxNfGw05mpiDzMCuz6qg7PJ6evXC4drv5nYS7sPuqkLEEDyJxSKOn2zrqGaTv8ESlAG2TFQw2ok3s6e2OqO0mZSPJcpzxp78Gnr4l0NC92DFdeNtHvfIKh+uzhun6Su3ZKJXrjL+HTxBxIkOS8rzuyNEMWHJlUJf7swX41dWMZdjPuU2s4cSvLOx+uw9fvx4+ve//039+vWjhIQEHUVxFj5LTU2l6GjjpcbAPZEHA1tFsJolD5A4K+NIeGD04KzO5elsEcIBCavmcp8MW0PdfprpgjW2gk/yiz/ZIQIz9k2UCt4dGXaiktom+my7Woilux720amR9MsNE3QG5DbNbJlwku2wrminjtx31xhSJ+eg55cbJ1JBVaMoh+0KzkBwIMPrTQqOcIDK65UF7Ph29ac7xOewZ+zXuwpE2d5V49MMZi7swYnKRlr4/lYxIGYVXXkR1r9mmFvWzQItSpEWZS+w9rNcdOa3YzKm4yL6xrpsWne8XKhlm+N/LAkLVP9WHhh01X/GGg/cSy7VVy3NLHWUqOpOEnDprjUWaZyB5x761y8cTmPTlQG2Zf6ypiAnupo0kzyvXThc2OXc++N+2naiSpxfrhyfTgve3SKCE3sOeGRQK6sbzClHZ60Fhs+bPNjk8wifH/g8wOtP/zyqrCZREmLDDD2XbHIwL5EVNObarvFEnQyueSDKLUU9Ga0oVlsbPTCrP90zs6/Jbgoyg5ZT0SA8qu+a3lfndX9f9WfzJJelk0lKH+Ynz7bM4s0SlNVunGSQ1zm+VvCE/Wa9ANuSEnE/xYQ7X0+5QosJ8fcVujIcYFsSRBpql7CkPFw/wFVWUxqzRDUH9qG//6cDwhLwzUUjOr5Hsf8pP1+eL1kMlSfYz9RoBNk6YOX9WiYSZJLGnM0rtxmvru4qAq09x/v7eInrP0/qdrRVdbyHReFYxf/qCZ0nQD0Bq68w1113Ha1cuZJmzZpF48aNo/LycnrxxRfp0KFDdPz4cXrttddss6TApZAnkyZNNsSSGVJ7wWVIfJPq4Y4q2dKH15Dst+YBAouJsQp3kUaNul2vRMaUi6AyG2or2FeRYbERDky6QmlNJXuRJdWNLWKgrJ8JMjRxwLOZPOCRXoz6sH0Dq8DOH54k+sB40uTxOQOFsMviCWli5paz5hLOuvEExmJFpkrfm9bWHCmpFUql6VHB2ot7lUa8RaluLOGyve/3FtKM/rE0Z7D5F1/O2PGFm3tzWRHWEtsaRyIHAcpy/ZzyBmHNIu26zEV6c3MG29TZe7meLLEhUWoO2BJ5utQ/hrrSMrCWAM1El35JtAy8eVlYkf6VBcN0zkv2QD94N6ccXTnB+OqaLK2S8f1nqo3UTlbqalVw9s3e6F/+9NefqZOR8jrK28Gc3lZP5arx6VTb3CrOsYypQqrSClCy5ng53TVd93WtC4QVx7ZW68HB7WjKsYJ+abUyK2jsPaagbL3Tt13TnqfM/Exetr+O6oopWnsNk0rUygDbGhtFCa8y3jf0j2VjGWzlOub2JRYs1LdFtQa5jrjtal9hjVDqjgn2Fx7xA+LDLMpgN9p5DBHo50PNqlahpWPoes12s7yO+8e7txijMayOimJjY+mLL74Qllz79+8XJeG//vqryFq/++67dPrpp9tmSYFLIU8m0uLJ1pZItkCW0G7JraTpr6ynF//qsKBxBHwikauFT/4cVPBsHWc5/3XOIEqNCBQZJImjsq3GKNQE2qZZV6j7apTMeHWDKDU35eLeXXaMg1fOCHHJFQcE0jpHXtR4XemXtPPzcnDB693WQUqfWPUgr79GVfTXw6X00M+H6Jf9RTpCHnd/v187s8z7nhSD+0aj1s5lUqaWJPJAgX8/Xwh5QoGz84+vPCzWvdy/LS1TtjcdwWnHfiLXkwyUzUX+Pz6WtArAXWxmHkSwJRWXPltSBmosg829a2xl+Kee8rb5fXD6zgLtdpscOm9YovCOl0I5+sci/0aezHpi1WG7T04tGpVCP10/QWgxsG4BZ+FMhQU4JYZEwPQDprFm2PTM7K8W+LvSQEl5V+iX9MuBq7kVCbLk1pqgz5Ngz17WBrHk2NWZUDMQAMsxC5+XLVWb1k6UOViLRhmkKCcdeFKavb3124yU5bqmohN0eXnR6a+so6kvrhXiZ1KPhNX6zYHX04q9Hb3hXVW5mYocXygnFnjinku1rVHyNjRB3LkH2/CYZlNOJT228hDZEvZtZ72XDdkVYp9dc7xMuGq8csFwoethSQZbjiEsrSDojhn9Y2nu4HixfQ1dr9lHnUUIu7KRdWesnl75/fffaeTIkfTkk0+KxyqVinx8XDOjAuwQYGvKDW3lX2gLOKvIPY7KmVIekLMP823THFsqzgNVlUo9uyqv8VP7xAjBM2WvHnP+cHUflaP55/Q+9OO+IqGC3R13nt5H2LJx3/b/Dqj7jJUY2gvkvsG9k4tGJdOaY+V07cTOAk+6H9T5k3jQqrwQGAqwy+vUwYM9xqen9I4R5ZujNQN2raCaqk0nwOaMi3I8Jwdfymw99ySZMrvN6+qu7/eJAHGSQtWfBxO8v4xLj6SkcNMtrxyJVhBPEZw2af621AJMZl05AJHnHkMZbFbjZus7nhRZfuVYum5yhmW/QVNGqj/I4l5ZLvPmwQH7kZqLDMhkD7FErip7TJlwyeL9P6lV9if3iqb/HSiisroWIc7D/EvT06nsjbYXaiV1X6H0z8tiDnzukbAK9L9/OyoGcrKVgvvuN9xxChXXNAlRvJlmeMTzZ/BAeUQ3bSvdTRjKigceOLI2g75YozFksMRltLzsgxPUmg6AhNUZWz0unpBukt5LWKCfsA99Y12OwQld5fWD+7QtqXTrEOtrpdNeXieC+h+vn+BQ3SFle8UXO/J1RCV5P37n4pEWfa6ybD7ET624L0unLXWcMDZOPMcCj/A3y+oAAQAASURBVG7lZzbpBdiyX9walO1wOs/7etMbC4d3akfR38dsrSLOn/+nRq+H2ZlXZdnnKCZ3ZZuZJdVdpvB/Z6iritTfp75XHhucSNl+okr0ZMsWBE/C6gCbbbjYC5uD7OnTp9OMGTOoVy/TZ1OAe8LiTc/NH0InKhrohb+Om1W6ZW/2F9SIZdLHGcvIJ7MWahfllzK7q1wK5UWBPbOdwcJRKeJmClKt1BiGrp8yK8NZ16smpItbd0zKiOok1MLr8N2NueKkfP6IJEoMC+z03V/sVPez2wN9xU6lhYy0e1Gqe2v/n1aISX3P5eGmlo4pZ+eVpWntGpE/vrkqcgArS5KVgaqlmQUe9PEq4W0hlZYN7XMdHu1kFcbKSGVpt6VnFJkh1i8R7/CTt/0AXRk0szo6txuw9d/LC4bSqNRIuu2bPaIXm1mfVU5zBruWKKSEhQSXTs2kV9dma9tN2FuVMztc6XL52FSh8M9e68kR5g3cLxiZLG7mol8tI/dzduTgm6mEK84LN3y+m765epyOb2xPgy0ey+ubqVdMsNBu4H5qPvebeu4cmaLWSTAUYCuz4pZWbCg/V6rXOyq4Zi0CrkZhEUxDy2Nt6brUOpATopzx5/Og9GDmiStzdTSMVa5xdY2lsNgkH3+csbYlcoJBv52J9yulLoqkRNP6J0m08cS3DIYlbAfI2g/mlqFfMzFd/Ka0yCBtC6MjJvHatBnsjn3gtbXZtPZ4OfWOCabPF48lT8PqAHv58uW0du1a+vvvv+mdd96hZ599VgTYHGzzbfTo0eTtQv25wDbwyYNvbFrvcgqARhbFGWXscr28/HeWKA1meCDIZVzj06N0SstKFUGaO8DZ6D0FHcI+xnoNuUT3k8tHmzWjy6q/n+/I03p0L5mSKcRV1mWVC8XeMwbEUUZU5wy2qb2O1tiiyGy1VoBH1UYF1ep+f4a3KS8f94fy8sty8WYLsrdylakD7I7nHd3zZwn/OXeIKERQqshr14GFk128jblMnNcHZwcnZkQZzGYZ63E2F6XmgBL5sRYPzL06WwUxPPnE2RwecNgableQcOZYfjVvH94nleeilQdL6Im59hNt4mNYKu2fPSSBUiMDTRYd40klzmK+szFXO3njrTkuWd9CBgCORLkbcGUJC2tagjLAZkzNfHsqr6zJEuf8h2b1t8gGy5AWhmRan462BEtV+7l66I+bJ9Ox0jq6dvkuh+q9aEuYFecm5TiM9UguH9fZEstU+BzB1Wq8Dfi7+PrdolJpA052M7FVGxa3GoZaeE3oH28fIcB4TTKBqyY4OdBdCx9PAkm4ssyUikBzUFo38nmBl+vN9dmi+pD7sbmf2dS2C2WVGTtuKNtubEm7psWN90tD7TIcXDPSstXTsDrA5l5r9rvmGyuH7927l/766y9ROr5s2TLx+nfffaejMA48hw4PZ9cJsJVLwpYZUrXynCGWz5JairwAyeBaloVzqeY7F43QufCz+JMl5aaOhDNbLLbFmQE+UbOljDFVTQkP3vkiyBdqLt3ni74pCpvcOyYD7JgQ9QWgtLZJK/bGfT1s0cVqzNoA2467Ifc/rTlWJoJn/Qy2fv86Dwa1AjiaY0QGA+ZMNCj95pWhGF+ruAWCBzvcY2rr2XJbYEgZWq4DS0vEGfZHl+vFWK+ssgzuso+2U0V9M/13/lAaYKYqc0ZUMD06e0CnwEcGo5ae9oz1YLP7QWdfBNvwtEZNncmMZosz3X5vR/b9ckDCPewM3ws/eTPPfVzxwxl4hs+j8rjaX1RD9/94gFIiA+mmqY6pplNWR7FCvnKwbe5+IUWbPNUb1pIJLr6Gy8ogc4JYOYmTpyd8xyh3d0sTBPz/lOc5R24vVpgXfcaKfU9Zgs0B8v/9eEC0gbBAaF+Ndog5KCeF1fu4SmRNremb5glS/awwK2/3tVCXwxB3frdPjLMenNXfYvtYbkXh9clj3JK6Zm0rFreqscc4r+kFI5K0YzjuJ371gmFi3GKP6zGPDyVc0s3SLnxccOWEskrMXtWLlrD0qz1iYvfJuQPF5DGLsw41IKTrihpOtsCmJoulpaV04sQJKikpEWJnTENDgwi8gWfB/W184HCJEpecKO2DnI0cvE7MjKKXFwwT6tabcyrpFMWMtaPgmUGe/eXzhwwWJTy+VQaEyzbm0o1TMsmV4RLSD7ecFBcdXp9iMKhqF+V2PKNtSHRIwoMcvkhUGBBCMwSfiHlbzhwQRwMTwkSpIF/opMouZzC/uGosfbMrn15Zky3EvuxZSTExM5p+umGi9rGyB5v7SHlw9YtGjI0Hg0oxEamUzJk6c7JSUlVYP8Dm4Oj9zSeE8Blnil0xwDZERKAfRQdb1u8oMWUbd5SIc/l+k2jPsGTfiAz205ZK83lEirFYq1LLEwN87uT92lFwjxsHHP00A2058cOKt1/tzBfKtBKlGr890O/FNMemS/LlVePonhX7hScvf5wMcllFnANvnqxwVIDNyv486OXBrvK3sZXY93sKaPagBJOF0964cDhd9/kuSot0j2PansjzH9ttSsw5d0hhSUMuAMrJLWuvGx2Ck44LsJ89d0in55S/g1sp3tmQI859ulcP0+Eea75mpUYEicllploTHAcoKpPMwVAw9fn2PK0LgLnwuYvPpecMSdBeB7mNjN1RLA085bl9au9ocR1X7iu8rVn3gTQBthIWHbMXPOaRyP1MtiWYs/uyywlX+/SLC7W7Z3uAZiKd9VIMldVLIHJmhNWrV9OaNWto06ZNlJ2dLQTOhg4dSnPmzKHJkyfTqFGjyN/fdYIvYBuOldXRI/87JBSVP7lijEutVu2Yt73j4OUgzRl8dfU4cX/tZztFgB3o661VXufFG26mmI6rCFdxjyH3x8mBy/PnDREnbEPwjO8n204K1W1zympZNZPhLDmrG18xLk2bZWN7Csn5I5LFjflpX5FQ2ubJFUeV6PExIHstWdmTxWBYXVraxMmLM5e9880c5IBJVIooLvJKD8tgf9dsweFtwUJNbLE2tbd6cuvdSywT3LG8x1nto84EWbGePtx8gl5ekyVm4rn6QuvpaWGAbWyyb0N2OZXUNAuPbVv33t49vS8NjA8Vit28TuR5aH9hjfC0ldx1eh+60M4WUZ1suhSWSuag9JkO0AjSyUGnvrWQveFKEh588wA2t7KBxqVFijJOFkbke1ORvt09vTzcWDBmjqUQl4Gz0jUr1RuqxpJYOlHGxxFbSspMebCTHR3k5A7/bj7/St0XS4Ph277ZK5IpXyweq73eyeoKa5S/9bEm0ONJrNyKBp1KLn29FGsnMbjUmStttp+s0pZ+80c7UsyOxz/cd33mwDgxqSDF+cjM5Xhq1RGR6Hjh/KE0xUyBSXMJlAG2xs5Xn6fPHiTcfZ5yoIe8W2Ww//3vf1Nubi5lZGTQY489JgLrsDDHzcoD5yAHltb2ONoDea5xpT7VFs0Zn8V3Pth8QvwtZ5W5Z49n2mcNdM4kgDl02HS104M/qxWJGT5Jsl2EITjDy0quEnPHvVJoSvY588XYmEiWsi/a3gxKCBMztErRNr4I8gBE2Qdqi2wtB9iXjU2jdzdp9h2FAqizfN67g1VO2ZKFxaZkgG0LPtl6kjbmVFBdk0pYoHEPL3uqK5H7GK83GUha4vXJGZCN2eUiuGZ4UlEdYJtnv2Qqn23LExoND5/V3+YBNmfjuUf5gve2ihJmOfjWzyZz5tcePty2zmDr99jKUlk5oeJo28P/zFcPxic9v0bsd6wmLYUJzVmdUosDAbbha7g5toRyHRq6HigtMi2di+HP/X5vYceyObmkX14v+DhXWmjJQMcSeC3VtahERpwr1aQQoqWfaWhYZs01rEMItK2z3aGNNFmka4Tydzu6K5LPkfIcw5ly/t3f7SkUdqbmLIs8F/E6YmX+Pfk1tHhCmujjtjUBmu3K11HWa+JxESeVpFguJ76clfxyiwD7jjvuEP3WGzdupIceekh4X0+cOFHcJkyYIHqwgechlaG5v4cHuVz66SoDAil0tTm3kpZ8sUuUCQ5zcqZYXuA5q/H30TLRNywvNP84vY84uY1JUyueujLyYsZBs3JyJTUyqNsyP4m5g3e5r/FMOiMFOTiQveTDbeL+vUtGCTVNZV+0veEg5debJukE+zLYZrsUhu2DrBFhiQn2E2VqPLDh3/fdtePE+uOqjHoLehIdiSwP07e4shY+32zMrhCfzxduQ9uaByPcssBBlxxoWrKeuJTuru/3ax9zqSTDM//s4WypOAxnOdlSjm3ElOX9WvE0OwW4IZpMcZZCVEZ5fI5Ni6DwIJt2jpkWYJsocKbktbVZ2m3LHyePQ5nBdqQuCKuyc5UN72O8X7Zq+iK11jRmDPRZYI7ZV9BRst9TkdZQyv3GnIkTnlRiDLUlKfdza3qwlRNTrG3gTE7rGyuuh/x7lT27lmabOVBnDhfXakUPuQWDJ7G6uuZ3BVc0ydJ9iTXChIZ8sDssochqOBAN8fcVJdrsFsICjdYIXNoy4y+XwJwMdof+h1qJnIVqlTajtiTQt6PFg691XM2j1ttwjmOOo7H6SsoZa74xR44coQ0bNojbgw8+KPqw+/XrJ4LuuDjPnaXoyRlsFllY9P42EUj865zB5ArwIPGVBcPo5q/30NYTVdr+KGfwwE8HxEVKlmCKYFE7g0i042QVvb0hR/RFTunt+pNRHd6QbTq2USFdDJD1B9PmDmbk/9fvc+Onpfrk9Z/vEplM2V/qiAx21/YW7Z0G1v/5/SjtzKsWmgU8yDAFDr6eP2+ojiK7pKNE3DUDbDnZIdsIeOB3zWc7RSDELQUhFgRVymyn7K8zNLbgwd9LC4YJUTwOwtQlxOYPMvUF6Tgbr3RRsJS31ucIBdUHz+xP8xQWNVr7LzsF2IYCWT5meJB19YQ0WuKgnmUfvUk3S0rEZQsGt2bM6B+ntXthcSMesDvSlpH3Ra484N/B+xkH+dwa0zFhYvpn3Tm9D73893G65dTe1NNRDvzX3jZVrFNLAsSvdhXQPTP76bwmK1pSIgItLvVVXsvevmiE0yc7WQuAS9Z3aYJAidLJwRLY/u684ep+Y0sDa0mTgXJhDtotRU64KCsSrNXIkHy05YSwkjp3WCK9csEwMdbN05x37F3lY571len/R+6yPH6zt3ZAgOKay8G1+H4XEkS2NzadquZgOjw8XJSIBwYG0qpVq0TQ3djYYWEDPAP9WWRrSpBsDStM840HwzwIs6Q01FZwf+OJykadAXtHi3g7lda1CLE4pUWOKyNL4HgAqVzkrvodZQba0gBbvp8tmT6+fLR2XXkpFHePltZRdnk9XTImRfT1DDRTLdpWcJad/Zmlcr3yp3KfGJeaSbsvc/nraJkou2YLEBaskgGmswd13drIaJaTqx6kkJalvctShVZJVwMdZZbfkkG0fg8oC+3ZArnMrfo+2IqeYnugH8hyPyEL0DAOFBHXmXTjQZgl5dxyYonVfnnS5axB8WLSiTPJjlamlW0InHGNDlb/lks/2k6xmqouc/Y9LsV9Y+EIOy2pe8GVZzJYZB93VsY2h66qGDranawTwpK4yjVcmcll1AKAXjb9TGvgkmZ9OPtvywx2R+sIWQVP0vHnVjW0CkcJJc4ME1nYkTUEKutbRMm1Oe1ESvFV7SS9ncYQvgYsmntQfG19gM1Z6i1bttC6deto/fr1dOzYMRFcT5o0SZSMn3baabDo8kB89c5cjjCqNxdtj6oTM3wyOGQfT+7ZVVvHZAqbCraY2nKi0mCW11WRpUlVja06Awp92w39QQj/vA7fXW+LTtJ8oROfpRgs8HqTy8Hrmi8ezuzpeXzlYdEfLAcMqw6V0PkjkoSCprQ8McemS8KZG+4F5kzMx1tP0orrxmtfc9UAW1/gRKnoak12sXOAbfy9XpqAxVJbMP1ef1amZfbkVwurqX7xoeLzzcXbiA+2yt4l4noZ7NGpEbQpp9LhAQKLuLFNIavuW9paFOznq9NzzcjgmnFkBlu3msdH29/O2XTGTU7vLgeXlUr2FlTT9DDzzu0slHmyqlEoTOsjM5767h7moIxbXSHA5uuE0g2AYXspSzP0bE3559EyunRMitBc4Uw2+yZfMylDaMdYgqw8kVw9Md0qv24dIVANEUG+oobMWnV4ac+YV9VAJyp0s+zOzGBz4ub7PYV08egUbV+2RRlszbnTloJ1SpIjOk+IuULm320C7AULFgj18Pj4eBFM33XXXUI9nINse/Pnn3/Sl19+Sa+++qrO81yi/s4771BxcbFQNL/99tsR5NsYH70ZUWt8bW0NnwzZb5mtGxhnZrDlySQxPEDrQzmtb2yni7w97aVsyaiUCPr4stHCl5rLfSUyY2sMDoS5VJgDQ+knaSpy9t3QLLoyE+oKa1BeqOoVWWqZ3ZKZXHOPlYs/2CYy9LL8XX7Wc/OHiAGVo9WSTUVOukn/Whlg875gzf7OvehKDA0eueSQ1xtPPqy6aZLF36XvS8z7OQ9M2NeelfEvG5tqUYCt9Uh3cAZ7fIauVUpUkL92co8nbn7YWyiqROxt+8bZZ/aN5Zu1/eS83Jy95kktaZXFVSyO1LRQnpr0J5s5ILFUxK2nw/Zmn27LEy1W7Ol845QGWqwQlTRlQvj1Cw2Lb9pCBFVZ7jrnzY1CT2WBxtHCGXCrh5IIodvRMRlrLk+fM5gKqhpFhpQDbTkh8fXOfIsDbH2WWGlNKs9fygkOtvCzBTLAPlBUSxe+v1X7PLfTDLfi3GUtUujPkvZHgxlsOyWhFoxIpr+PldH6rArtc24y1LUJVkdFV155JX311Vf0999/05133km9evWiuroOyw97sWvXLhHMFxToiiVs3bqVlixZQtOnT6cnnniCqqqq6IorrqDmZtuU9gE1iWEBwrImKTzA5UrEDxXX0dO/qn0KnR1gawfSRqrQZNDoLhlsDm4GJISKEnxlSWl3JZ7aLLQFdagjU8JFIMOlfPf9sF94ZkqUgZorTFLIbLIsTVYGTTLANKaA3l3QLrNi8reyMB4rWjvSKsQcgjS/U17ELZ1g0CdNrwfQ0GbnVcITG/K7rUE5gfHN1ePE+pZ9hJae9+TEm/7hIKtV7bVNo4L96Y7T1L29HJCmRgWKtopVSyaK9ciVKa5wHJkCB9OS7LJ62ppbqRU4G5oUJn6ro2CrPq5IGpseqbN/swjeTzdMNNkDG+jC+6Iss+djhfvcbQWX1i4alSxs6SyFj2N5tPAEsiPENbtiWJKumKu1Li88LpHlx8qJxFiFJ7O5vLygQ1OE9ROshSc13r14pGghszX6/sw8Wfb2ohHCbtPeFlemjDNklaY5XDAiiW49tZdI+Mjroz2r4Pz1xobIYJvBJZdcQnv27KGLLrqIdu7syGilpKSIQPfCCy+03Zbik1hzMy1btoxee+01gwrlr7/+Op1zzjl06aWXiscvvPACnXrqqfTjjz/S+eefb9Nl6cnwjDwP7jfnVAqbClcqEdcfHjq1RFwzUH59XTbtLqgWJT08G88l1TwI1AbYDraUsQU8MH/+z+Pi78xueoBevXCYCBrM7aFjJmZGixtnqtgOTFn6qQwGXCHQlBeq84Yl0prj5aLnWgZNskTc3ACTFfqZCkX/rws50BmFzw8s3BeiKUtusqJEXkmf2BBxjPMq4Kw+ixQZO+5skaXi/U1m4eVMv6xKsPS8Z6xEfOkpmSJLbklW3FQuGp1Cl4zpKMnk+IXXk1wUaYtnb62CtzbkiAHiHaf30QZR5qCcOOXNfUIhlGTJecYa+Pz92ZVjxHZddbCEcns1CCE7nhTjQayrtnG4A8rzvS3XI18v9O39LOGnGybQnd/tE1lOZ07my/MRu05szqmg1y4cLtwnbMVQhRNLXIjln8vX8vnDEoXFlKUuDEr6xnZUdtmacL3Kk4mZUTQy1fluL3I/4xY09uZmgVduhzD1uiwn/nkc7+2lsqtQ6oUjk2la3xh6YtURUWWAANsMsrKyRIaYVcI5oE5ISKCKigph2/XAAw+Qn58fzZ8/32Yb68SJE/Tdd9/R888/LwJ67vuWtLa2igz2U089pX3O39+fxowZI96HANv2yP5KVyoRVyZgeLmcWUIrS8i4L4pvXFbFfooceLHNj7tlsBkOdNmrlQWSvt5VIMS7RnZTLjU0KZyeWn1YZJr4QmBJaWiLgQCNKygMCYo5C5lt5mBaLqfMYGszuGYGmNxPxihjseLaJmEXwoHJhEzbz9zbAr5oKy/czRZm8A197u83T+6y7FZexDmrdM5bm0Sgf6+eirA5JYzP/HZUJ2sqqxEsPe8ZKxHnXn17Y2iAo6ws0RcltAdsI8Q9hDLLZokDhSzflL9JaYc34b9r6JPLR1tlkWfpNp01KF7YQ0oKq5uEpR+wDKVAlytOVLCnr1wuZ/tgM//l1qHWNmEF+M/v94tKlQdm9bf6cwfGh9L0frFUUN1I541IspkbiT245es94rMfnzNQ67lsCfqWhQG+PlTd2CIER3ky4wwn6b0or6us8yArd8ydYPr5holkb8ZrKgtC/H2pprGVMqOtU6F3J6xuDHr77bdp7NixInPs69vxcTfddBO999579Morr9g0wE5LS6Off/6ZfHx8dDLmTGlpqVAsT0rSPfgTExNp3759NlsGoB4sr80qFyIJnMlkAS/XQX1B5gwx+yM7k2A/b61frxwsdKiIkza4dqTirbWwdQVnZuYMjtcGtaaUoh0sqhWz/F0JohmC97G/jpUKuwxGua4+vGw0vbomS/TDusIkhbZ0q6WNZBwthxARQX5i4BNg5iBRZrCV8AQNVw/woMdVA2x9eKKBewKVgZGldNfTquyNLGRl9wbLfT5Z6EcG2Ld+s1dkC6RdkKUl4nMGJYgsNZepusJ2+ffvRx0qDsZijxJLfdKn94+jUSl5QpWYNzevz+smpdPbG3JtqvhurZDTwve30oOz+tO8oR12bMB0lOd12XvqathbjdncwImvQ9IL21brjCeQnplnGytWOYlni4p6VtNmu04WbGSbMobtT3nMZW3JPmewR6WEa5XPj5bUCk/n7zXZd2cF2PqVU+YMfdhthe3vuPLLkW00p5toTepJWD3S4fLwhx9+WCe4VvZnv/TSS1ReXm6wnFufuXPnGu2V/vjjj0V2nDPSxpC93/oCawEBAdTQYIXPngtlZ/Xx0QyG5L2jqG9V0T0r9ou/N991qkMVW7vDz1d9tml3gW339iWjRBnk5OfXiMdBAb7k5d0RBFw+Pk3cXG37dkV0sL8IsC//eLs2q9rWzbr+fneBCK4ZP7blMWO7/G9PAT29qkMdONDfR+f/33Z6H3FzBUI0gd/Kg8XCi5fhhCEv76eLx1q0fSMNlNHJkmXOmDh7HzdGYXUjfbj5hJhguu20PjQiLZL+vG2qQ77bX29QyYJYlq6nJkXpAA/cWINAlrsHB/h2+bnGtu+UvjE0hWI6vX/tsTIx+OFeXtY5cBQrNNlkeXzZuw870rfjOp5T0WDxttFOUmrOKWcOitcG2LFhAXY9Noxt25rGFsrXqM1L+Hzpqsepq8NZQ0lIYNfHmy0x9dr74p/HtNe20CDHLV9XsMgmV8rJYMwVlkkJ9zDzteuCkclWLxuXSf+0r0i0mgzXlG/LqjE/P+NjDVO2L//fdy8bTf9afZg+354vAm0ZbHPVjLPWa7Ce3aI54wCemOdJicfmDqRzHDDpl11WT7kV9ZQSEUR9FEKt9sYVxs5WB9ghISGkUhkuT+CdnG9txhSe9HjjjTeMvjcmpvNgRB8ZfHOpuBJ+bKmqOQdBUVGO2yksJTzcsWUXgYqSlNDwIArWs39xJmFhtdoDyxW2nZcikxIfE0r+mgFDaGiAycvn6O3bFTec1oce/WG/CAQk5c1tXf6WD7ec1P4dER5k1naJCNU9dsNDTF9vjmbygHhqaif663AJVWvsUhJiQrtd3q62b3KM+v+OTIuknRpbt1ZNmW9EiL/LrouiJhV9ti1PCOI8cp5hJV+74a87KREdHmjxetpwspouGpdGy7ecEI9L6lpIpalDiYkMNulzTT1+X127jQ4W1tBH14ynfmmO264Bft5aP+zYGMeUVQ9KCqcDbL00KMHibeOtGTyFhaq3b7pPx8AzPTGCovQE8eyB/rb9c0fHuW76wHj6/WAxBQe77nHq6lwyOZN+O1wiymCjwiw/ji2lu2NXtjowiSac6x1CXTOVaOzHQoL8XGOZFPDyPJjR/ZjeFII1FV5+Ab7a3ykn3qL4/BwRZPW5uV2jS8Eir1zmLHUXnLVeTw8NpA29Y+nJnw7Qj7sLKCrM9DFVgKa8vLCuha5bvouSI4PopYvtV+n5xoZcevPv4zQ0JZzuPHMAjU6PEtV8jsKZY2ero6Lhw4eL8vBRo0Z1yi7z8xwYx8bGmlz+bQ38Pd7e3iJjroQfmxKgG4JFaKqr68lV4SCSd6Dq6gZS2amfxRCtiomQ3VllQkHV2t5KW1FXq84e7D5ZRfd/tYvummG9kIk1lGqWh5NCNYrtVF3TSBUVdS65fbtiZp9oOjQ6md7RZIq4VHxWv+guf4uX9pJHVF/X1O3vVtLcpGsB1taq0v7/e77fJ/wpHzhrgLY8zJkMiAqkAZPSyautTQRKPEM/PC7Y6O81ZfvGBfoKxfARqeH00Kx+QuCMM50MX6bMWZeOpKVBPcDjiRhHLyNncEanRdD2E1XisU9bm8XLcKK4hjYdKxN93OtYuK6wms4dlkQXjkiiXuH+XX6use3L+2xRTZOw70tVBIGtmnJpc48Rawn196XGFvX2ctT3sprw6oPFNHdookXfWV7XTNtz1RNO9fXq9eWlWMe+Lfbd74xtW1/F3wGaS2JjY7PLHqeuDp9TzxgYR9/tLiRvleXHsbmYeu1V1nq0N7e4xHbWacNqa3eJZbIXKo0OUE1txzlTikdWVzVQoJGknTljq9HJ4eQ7JkVYv/6yv1j9ZLtz16tIO2h+W3ur6ec6leYak1dWR1tzKiituvtxqDWoNO0Te/Oq6ar3ttDHV4ymIXpq9/bAXmNn/kxTs+JWB9jXX3+9KO0+44wzxI39sCsrK2nz5s2ifJzFyBxFUFAQ9evXj/bu3Ss8uSX8+LzzzrP4c+Wgx5XhHciRy8mVCVLJ96L3ttIbC4c7RKDHFPrFhghf1P8dKKb9hTVO3X6sHv774RLxN5fRK5eltbWdvtuVT38cKRMqi1316Dl6+5pjX3H95AxRI66cdOnKr7q9rd2s3+Kt10bl6+Wl/f/HSuvoWGk9XfvpDrr/jP5CYMgV0J7Q29W/lcuk7v1xP/WKDqGnzxlk8P3G1smY1AhxU6K0vHKl/UKJn2abc2a0uUVFa46V0/LtJ8V54tpJGXb9bn9vb3pz4Qh67H+H6Id9RUJYztL1xMKEfOPeNQ6wT1Y2ir7/GyZn0Ix+sSZ9rv72/XjzCfpiZ77wU10ytUP9VXq5mnuMWAv347FYzjPnDHLY90YE+NIFGs9gS76zTdFfOTQhTHwG73E/Xj9BXJ94COSI36K/bdmyq5OgHJ8fXfQ4dQfuOr0v3TQls9M11BF0d+2V7RTCPz40wCW2c5CPN80aGEdbcitpZn/TzlHuirfimih/p7Z1zYTzaHfb95/f76O1x8vp0dkDhFCXDLD50Hb2epU2Xez8YO6yyApE1hGx5+/w02s3cvS1zZljZ6sDbM4af/rpp/Tss8/S559/LnqoWWRh0KBB9Oqrr9LMmTPJkSxatEgIq82aNUsE2x988AEVFRVBQdzG8Db2V4h3uZJNV0yIP41LjxQBtrNFUQ4W1VB2eYOOWIsi1KSjJfX097EySu/G5srViFKU+CiDZ2MobcjMFSNTqhqz7Qh7l+p/N/cks5q5s+GLfEldk3ZZ5AC7sKZRTAR0SNyZD+/POeX1YjLGlUR1jKFU/OXzRH51I209USV6+B2Fdj3ZQN03KVy3VWF9VoXFEwVShE1fg0eqijvaykSqH1uiRusslNtUub5saU1kCbx/f3nVWFp1sFjbD+4CDoJuy8nKBnE+5e3KFn2uhtbTXs9yz9k8MbfzRK4nIscW2slJbk3VvGYrKQl2e6lqbNV6gjvbFpSDY7YB/O1wqbCqjA0xveRarpO6JseMIfz0BHxdwU7VUdikcbZPnz6if5p7saurqyk4OFgIizmDiy++WFiHccaal4N7r19++WVhIwZsCwdKUsrFUjVde8/sOTsAkQHgghFJWkGJy8alifLGvnEhIuBgXEEB2xyU5dimnDCVv8/sAFvxfi6rVU7mKMWYHGDf2y17Cqrpxi92ax9zlnJMWgTVavbHuFDLg8sf9hbS5txKWrG3UKs+7Qq2MN1ZlslAVypvO3KZWSiM21dsEdRztQDbonGmV27ruuZWrc+3OWh9uvUG5bYeGJqKtB+TExLuAE/w8uCNlYJ5O3B/pKuQGR2sM8HUk7xfbc2P+4po2cZc4ad7t5PbvQwh4wd9yz3gGOT4QFqetmvGo3zvbcWEtr6LB1fLTVI4djjziGYLss+252krJ8w5v8jxmpxMtff12F+vnNqUhIynYPEVae3atSKozs7OFr3T7IU9e/ZsiopynGXMNddcQ5dddpnOc9yDzf7b//jHP6impkaUrPekGRNHwgdOHWnsalzIPoMHwN/sLnAJ30wZAPIsI9vIMOwlKWnVlBLbW7XX1nDGnReZr2mmOIzJi+BTZw8yu//GVxE5/98Z/YwG364wiDVUycH9cGV1LRYH2ByYznxtg7ZapLi2mcZlRNG0vrEu7SnJ20Na1HHgxnZrjpr04mzGnDc3ivtvrhmn09Jgi1JqCXuwh1gSYHsbtreTWRhHX7O4J5x59vdjtHBUCrkL0obnSEkdJepVGDibMIWVnKvok7gjMgP25c58umh0istVe5VozgdXfbqTttx5qrMXh3p6gM3XnTU2dKuQE3df7yqg8ekdbZDXTkonV1DW5+urOeNcbQa7udUh12N/vXOfCwzTHIZFZ/1t27aJ3utjx45Rr169RAn27bffTp988gk5Eg7m2ePaEJy9ZlsvBNf2447Te2v/DlQc8M4mq6xO+CLaqjTUNuVjhl+XFwV3y2ALd4B28zPYXfVpGyMpoqMa5t+/HaV9GnXuThlsFzhzG2pJ4BigWCN0Z4n1EgepfDOkMzDQpfznu/YFl9lRR7Rt8G7B1khc1mfL0s23LxpB/5ze1+jsvOnLp8lg6y1aVWNLp+DMESyZminuk8OdW15tKUdLXU/ESfq9c7UJZ1+BZXB/qXJCy9Ww1msZWAdr17x6wTC7HWPyOGZC/H3pv/OH0LKLR9Ksgc7Te1GOB5o07g+mMrN/nNDN6RUTLB4jg20/LBodcM/1jBkz6K+//qKPPvqIfvvtNxFwL1u2zPZLCFyW6f06yu5dKYOtDLRcJYP97qZc+nFfobYve3NOBZXXN7ttgM1cMS6NLhubatI6vuXUXvT6hcNpfLr5FS69Y0JohKYkmtdXUXWjkQCbnI5yXXBpuJyMKNVYpsRbkMHmCYyMKPXFUOIu5YivLBhGq2+aRH1jQxQBtv2PSV5ncnew5fiXP5cFziSRFtqNyB5sZYk47yePzh5I987sS0kODnTlNglw4Z5+Q8h+6ym9osnVkJkvaesDLEOpwRGq5//rCtyjKVt35WoiT4b7osdnRNmtsmF0aoS2Pah/fAid0idGTJqx4J6z4HGPrOw4++1NdKhYbU1rCjMHxNF1kzJoUEKYmOwOsfM5f0hSmM6ktAvkQRyGRdPknLl+7LHHtLZcPOi45ZZb6N133xU92OHh9pdgB85H9lTql6y4Es7PYKvvy+qa6dNteXT2kET675/HacfJKnr67EEdAbYTT9aWII75UzvUj7uDM633/bBf9P3cd0a/ToJR3SHLo5lGxd/K0l+XyGArjgOZhWxTZrBDLAucePDGPb+SjdkVVFHfQkOTw8WF31UZkKD2VD5cXEsr9hY59JjkIJaz1wvf20rvXTKSMqJ1JyksgT+vXnPe++qqsRYPsmTMoCwR52OK7dic1dPnjhN9LCbGk1dK8SFXITxAfW6qVlomAbNRtgixnZyrkq43CQqcJzR61/f7xHjgX+cMslqAd0RKBP2+dLIIal2plY+rRltUreqxkQWTyFeOTxM3R+hRZLKNr4+XWFZHipw6G4vOVg0NDZ2CaA62ud+5qqoKAXYPgUt1kyMChS2JKw3MZKDF/ZLcs+VMlCdkKQQnn+FzoixfdaX1Zy/YMoRLdtm2yRx4EqKwpslgsP3veYPpgZ8O0MqDJdqsoDNRVnLI0kHOUoYG+FJEoK/FImd8gVLyzka1OvFz84c4LSgzhwd+Pqj921GOAxzEqjQ98LaafPn1kNpyj+Fzn6VwJQdPSg6Idw1V5G0asUXuZXYnOPPuisG1MoPNk6vsFOEOx6kroqzWCXHBDLa8Njm66gSoOVpSR7vyq8R4b2JmtJi03JBdYdPV44oaCpxVl8OiADMqSItrmsSkX0ywH0U5MNidPzyJehoWBdhtbW0G+y59fX3Fa6Bn8Ma6bMqvaqR/Tu9DroSXIrh1don4I2cNEDOgT68+oi0nlYcOl4Q+OXcgPTZ7gMfXzWzJrRDBNWNuHMzqncreO/2et8fmDKRHZg90qqqn8qIn/eHXZZWL5/iM+NqFw636XGPZV2er5JtiscPiRFkaTQTmnCEJDvlu9TWq3aZ9ZgWK9gRrSgRHpkaIm/5+zoNFtiJihwFHwh7fwH69mwVVHfsNMA/lhKornu8+2HxC3EsRR+BYtp6opOf+OCZ6iznAVk7IeLIGk3Iy3xwXn9fWZtFP+4vp1lN70eXj0hxiKXaouFaoh+tf8zwd15uWAW6DFPhxNZEPeU51hT5VPsGzJRcTrSnl9dJ7ncvDPT2D/cv+Yu3f5pZZ6a+bKb11+7g5O+nrIuVbvD0vHpNi0ALJGoz197myTRdTUqtujVDiqEGPLHu25cA8Ktg2auSGWHu8XGT6P96qHrA7kmsmqhVxz9VYCQLr4aqVaZqstZ8LZsDchQwX8R7uDmssGIHlyPHB5lx11lo57HOBIYHdePH8YRZVhcljiLVEbvtmD23KsW22X59jpXXCuvS6z3fRso05ooS/p2BxQ8uOHTsoL0934NTY2Gjw+dGjRws/auBZSH2eChdT9pTZzpOVrpE1YDVjhktylCc4F4j/HYZSDMrccl15AeXs8HfXjNNR4n57fY7IjnMrwPT+ruF1f8dpfahV1S48sK+emC5UTq0lJTJIeHC2tLXTdZPS6aYv94j2AkcoctsqiyfLtrnk3xETSiwMl6XJzNpKhPGsQQn0x5EyGquwa7EELhvm0lJuG0iNVAcQsrc7xAl9pqyR8Octk10yQ+jOyEle1z5KXRsZuCZqBO1cDRbv/PNoKV09McPZi9KjEz3Vja20v7CGUiMD3WJCxlpiQvwsymDLSy/nxdZnVdDsQfatKMtQaBO8sS5HTOJa4qbijlh8Jb/nnntMfn7VqlWUkYGTj6exv0htl8Tlz+e7UH/FpMxomto7msamWTcItgUr9haKEllG9rvIU34btdM7G3JEeSZ7z7IyZc8IsC1TkeV/9U/MvO525FWL2+sX+lkd+NhjYL0rr4qe+e0oDUoIpQdnDbDo8zggfWnBMJ11yOGYqwdEHEAyslibL+r7CqpF24S9+e95Q+i8ZVvEJISterB5kueF84da/TkrDxbT838ep1kD4+iJuYPEcw2aElNH9ajrE+LCAlLuSrsLCTC6Kzz5s3LJRJfNfPE1x1WuOz2RqX2idfqLldoYnpzBVrZO6Nt4doX+pIO92ygjg/3o8TkD6UGNDosnT3roY9EV9f7776e6OtPFUGJjYy35GuDiKC1mXAkWpHj+POsHwbZAKRoUrc1gqx9zDLY5t1Ioip/W17OPET7JWl4irr54SMV1JcrPyqtqoLHk/IFOZX2LVviGB9bFtc1iP+CSUVvQqmrTtmU4W2OgO8I0Ku+8tDLQ7R+vVha3N7In0hXXkQy4FFXsWhuzYH/kOz0FLvtntpyopHnDUH5vCXyO70nKw8A8eN9gG89d+dViYpu1bSSeHMqFB/jSvKEJtDmn0qygVX/45YjrzfiMjnGZK7TyOQqLRnynnXaa7ZcEuB2uGV67FvJcMjQpTDvLfd7wJJqQEUUDE0JJtau9R5x0rCkRl0rrHGCzNZwyw6csNXaVLNE1y3dSbkWD+PutDTk0UBNQymyuNfy8v4iOKwTDXDF4VMIz61y+xtZqDS1t9PBZ/R26zNy/aalXtT2R+6pSJ8KRPuHAsbhqeTMAnoB0EOGhgnIe3pOzpazdc9nYNOFpbQ5eetMOjqiCiw72p6VTM6m2WeWS12N7gZowAOwIKycyXP4tZ+FnKHqFtT7YPSTA5vItmcm3pI9X3y/cxwUDbD9pcqzheFmdwX5kS/hiR76wx2PF1LHpEZ2+yxXh391Yqxb6Y2sqR/GvX4+KwP7emf3I1ZAVfboBdptTS8SB7fn4stH0+5ESunK8WkQOAGB75gyKp1Ep4cLOMibEn7bceapLiNzam14x5nuv6w+THHW9WTyh550DEWADi2GF1L+OlVGaQlQCkMEA0Fg1PZf7igPRDQIla4jSBNhcPm3urDKXVr9z0QiDaus6AbaLVNb66S1Is6acO0JTLm0NchLhrEFxNM1N2goigvxEmbxSkMYRlNQ2UVFNEzUp67BdrkS8cwbb1fvqgekMSAgVNwCAYz2WXWXC3dXg6kl2Nvlwy0nxONjFnUjcGRcZkgJ3ZESKWpRrmAeLc1nLweJacb/mWJmOMNee/Goqr2/uMRns+LAAenbeYHrx/KE6PVKmwqJYQxLDOj2vXG+yWsDZSH9k/aWxRQZb/lwXlT8wyH/nD6FYjUWdOWqnNisbdMGVpSxplCwen0YPzuov2kkAAAAAW3N6v1i6aWov7bUYLUn2AxlsYDFcfskEOrDs012VHvOqOizDXvjzOK3LKqcHz+yvCLA9e66Le3FP62f7jKtSPdNV+q1k2Tbby8jMLRNug94jGWD/dbRUBK3uMLmVGB6oniWvUwsQOop8zTH3yposenPRCHIl5GSQSjHZND5D198dAABA95TWNlFds0q04bW2tQnXDq6WemzOQKw+Q9cfby9ac9tUUUHl4bkdp+LZo3pgV/rHhQoVQ5nJBp25b2Y/mtwripZdPNJAFrJdWyLq6SJn9uKWU3uL3ivGVarsZRl0iEI1nPvCYmyghCsnEX7aX0zP/n6U3G2iyRw7EVtRXKtWdHcl+sWF0DUT02n2oHhnLwoAALg1T64+Qhe8t5V+O1xC9S0q+u1wqfAmB52pamihk5UNVNnQIsadrpKY8EQszmBzmef69etpxIgRFBqq7jGqr6+nN954g7Zv304pKSl0/fXXU58+fWy5vMCFmNY3RtxA1yIUL57f4V+sryD82ZVjqFXVLiyMgGWwPzRXAjgjeOsqg52lUfue0ivaJt7JjHIexl1KuzZlV4heaMaRGWyJq+wXStiqTN+u7K+jZUKLYXRqhNtsWwAAcJWKIJ7GlUVB6ME2zPubT9DHW0/S5WNT6dZpvR23kXogFo08VCoVLVmyhK6++moqK+voLb3lllvozTffpOLiYtq6dSstXLiQjhw5YsvlBcDtUfZf8kA6LNC3kzo2MB1WwWQhNNn77GwmZkbrPLZlsKScbXYXcZJDGh0CJk7Ti+1IHKlcbg33/3SAbv9mr9BmAAAAYL7ehtS1QGLWyLrSDCE+2nqS/vUr4jN7YtGI9IcffqAdO3bQCy+8IDLVzNq1a8Xt7LPPppUrV9Kvv/5K8+bNo+eee87WywyAW6MsEQfWsfJAMd369R76bHuey6zKhaOS6cwBaiu2O0/vQ0+fM8hmn33btN40XdPL7i5ZTinuNrV3tFAUd5aCvStR19wq7Nu4VI/hVhFZRu8u2xUAAFxtTCXHVchgdz9JvzW30hGbp8diUYD922+/0W233UazZ88mX1/14ImDapnF5g3IN37Phg0bqLkZM/IAaA86rcAR0TO/HqEnVx1G1spCCmuaaEN2Bf33j2N0tFTtN+0KyFl0vvDf98N+uvaznXSkpCOTaykD4kNpoMb2x13aCqS4W3Vjq0O/V05yTMh0PfEwHtgsen8bPfjzQfG4sVVt0cUgwAYAAMvGVDJvgc5iY+uq429ca+yLRSO0nJwc0XuthAPpXr16UWZmpva5yMhIcSsvL7d+SQHwsBMc6xj8uK+IvttTqPXABeYRFuCj43vsCjS3tlFVY4v4myca9xfV0q78amposY0fs9xX3OXiGKopZd+dX+3Qqg0Wu2GCXXAiQt8HW+4bXg62MgMAAE8aU8lrDMS7DKOceAhykzazHiVy1tbWRj4+HRumoKCATpw4QZdcckmn97Lwmb+/4/vuAHBVpvePo4zoYBqWFN5jbLrsRVhgR/mvt4vMWb/093Haoim9+vdvHUrftvA6X3u8jD7YfMKterCdVaoXFuArrMyU+4ir+mA3NHdMmmBgCAAApiNdWHjCUk7hwpjFBB0XN5mk71EBdmpqKh04cIAGDhyoLRlnpk6dqvO+Xbt2iY3JWWwAgBruoeUbz7Z2BNiuERy6G+EKKyxXmaMwJrZmi238za4CEZQNjA+lU3q7h4J/amSgU4JtV/ZAlZZyMtuirUpwk0kTAABwFSZmRlF4oJ9on+odE0xrbp2iDbRBVyXiLjJo8lAsCrDPOOMMevHFFykhIUFkst9++22KiYmhU045RfseLgt/9NFHafr06eTtKiNfAFwI7heSIMC2DFZgl7iKqIm/EUNuW6icy9943ogkGpbsHv7zieGBwqZMloqDju0oJ9g6yv5xrQQAAHOYPShB3JTOIsAwgxPDtH+7S5tZjwqw58+fL7LWV111lXjs5+cnFMVlKfj9999PP//8M4WFhdFrr71m2yUGwM3hXuGqhladEl/2vwWWK1S7UoAtLdfGpEXQ/sIabX+tLSZRZGkxVz+4E+wFDjqXNMo0S0pkED1wZj+n+IQDAADoGUztHUPXTkyndzbmuk2bWY8KsDlrzYHzpk2bRO/1+PHjKT09Xft6aWkpnXvuucIrm7PcAIAO3tmQS9/sLqBLx6R2HFMuEhy6c4DtKrZn/poAOyk8kAqqm6ihqtFmkygyLmMV6pn945xiewWsRx7ucp/lXvFzhyVh1QIAgJnUNrVSXbOKQvx9KK+qkT7eepJ6RQfT1RM74hLQwQ1TMumaSRnCNxy4WIAtmTBhgrjp8+abb1rzsQB4NDJIalG1dcp6AvOFrOJD/am4tlkb2DobP00gzdvXT5G1Vv5tKV4aIbdfD5fS2UMSaUpvZIbdkfjQADHBFh2MCRIAALCG19Zm05c78+maienCyvJ/B4ppRHI4AmwDNLaohMMGj5dCFRo2wPZYNCL95JNPqKqqSuc59ro2VLZ4xx13UFFRkeVLCICHIUuZuTznlxsn0o/XT9CKHgHzYBHFjy8fTT/fMEHrD+1sZK/1yoMllFPRIP5+5YJhFBsaYPVnK2P0QPTrui2pkUF0+2m96YrxaeLxycoG2pBdTlll9c5eNAAAcCu8FRVBUs8C10fD8ETErNc30n/+OOa4DdRDsSjAfv/996myUm1DI5k7dy7l5uZ2eu/evXupsVFdIgkA6OijlaWhCWEBsOaxgqhgf4oLDbCJiJgtyIgK0nnMWUpbzZ8oOwnQP+U5/HGklG79ei99sLnzNRQAAED3SQuueOYMLQMBr65tun7aV0Q7T+omSoFtcY0RKQA9dLYVeB7jM6JoXLramvDxOQNp5ZJJ4jlbcPk4dcaTCfKFQIm7wu0DBdWNVFitnnyu1/hgQ/0WAAAsDLDbOIOtbr3DudQwysn+4tom7Gp2BAX4ADjpYvDhlpO0p6BG9AotPaUXtoMHIadOeDZ9yRe7yNfbm54/f6jVSuLcX8afwfZO8Ex2X46W1tEVH+8Q1SvcIiIHhcGwTQEAALOQxWsqZYk4HBkMgio4x4EMNgAORhlj7ThZRd/uLsA28DBU0t+4tY22nqiijTkVNumzzy6vF8E12zwpFdSBe+GtySNI3RKtDzZsUwAAwKKyZ1Ei3qqerESJuJFrjyLCxjqyLwiwAXAwo9PU5cMSKIh7HjxxwvxXISQiBwHW8MNetWBkUngALo4eYdNFOgE2MtgAAGAecvKaS8Q7erAR3nSX4EGAbV+QAgHAwUzpFU3T+8XS70dK1QehDeybQM9gcGKoEMZ7cFZ/Zy8KsIkoj14GG4NCAAAwi8GJYTR/WCINTw6n0/vF0rUTM8gX1iwGUU70Y0LXRQPsTZs20fHjx7WPGxoaOj0nnwcA6DIoIRQBtgfzwaWjhO3Sb4dL6UhJnc0+d0b/OHED7o0c40idQylyhhJxAAAwj2l9Y8VN4o/+a6NkRne4nOB646IB9oMPPmjScwAAXWoaW6mwpkO9kftpgefNqPPt72Plzl4U4AYZ7IWjUmhK72galBDm5CUDAADgqYxMidD+jYopFwywH330Uaqvrzf5/XFxyLgAIPlyZz59vatD2Awl4p4Lpk5AlxlszeNpfWOwogAAwAKaW9uosVUl3Dp4fMUWiOcNS6IBCaFYn3r4+XjT+tuniraksAB0CdsTi9bu5MmTTX5vdXW1VikVAKBrkyAOQmSwPRZUJwBD8MBmwYgkCoSXOQAAWMXnO/Lopb+zaO6QBMopr6e9BTU0KTMKAbYB2IWkRdVO/j7eNhFeBcaxSmZvz5499N1339GGDRtIpVL3kCnZvHkzzZs3j0pL1WJOAABWvOw4qZ07NJGePXcIVouHMjRJXfJ7xbg0Zy8KcCFiQvzp3pn96PbTeovH205U0u78amrSWMwAAAAw06arrZ3qmtSxSCiyswb5ZX8RTXt5Hd3zw37sXq6YwWbhsltvvZX+/vtv7XMDBgyg9957j2Ji1KVuzz//PL311lsUFBREwcHBtltiANwcb0XGOj0qiJIjAp26PMB+BPp6iz4nHziGgC64/Zu9wr/122vGUWpkhwgNAACArpFDKta0qG5qFX8jwDbMyapGcb8+qwK7lZ2xaNj37rvviuz00qVLRRD90EMPUUVFBT3++OPa4PqNN96gESNG0Pfff48ebACUB52iKuftDTlYNx7Mkqm96O9bp9JNU3s5e1GAC6Fqa6fK+haqqG8Wg0IOrplgfx9nLxoAALhlVaCqjahWE2Cjv9gwZbXNDtwyPRuLMtgbN24UGexrrrlG+9zIkSPpkksuoZdeeonefvttuuWWW2jJkiXk44MBAwCGFIQZHlh/v6eAzh2WhJXkgRwoqqG31ueISoU7Tuvj7MUBLkJJbROd8/Zm8vPxol9v6tA0gS8pAABYVhXIQmeyzQYBtmF4HQEXzmCXl5fTpEmTdJ4bMmSIKAd/55136M0336Sbb77ZLsF1c3MzvfDCC3TGGWfQmDFj6IILLqA//vhD5z3ffvstnXXWWTRq1Ci6/PLL6fDhwzZfDgAsRV/TbNXBEqxMD6W0tpnWHi+nnXnVzl4U4JI2XUT1LeoBDz8TAP9WAAAw83yqvq9uVGev+WFIAJJ7hhgQD2V1lw6wOcgNCQnp9HxYWBjdc889dMopp5C9eOaZZ+iXX36h5557TgTWHGBzqfrWrVvF67///rsoVb/33ntp9erV1K9fP7r66quptrbWbssEgDn0jQsx2pMNPIs/j6oFHvcX1jh7UYALIQ95dthoaFYH2EF+PlB1BQAAs8+n6hNqVUOLtv9aWSkIOrhodArdcVpv+nzxGKwWO2Nz6R39zLYtYaVyzk7fdNNNNHz4cAoPD6eLLrqIJk6cSF9//bV4D5enc9B92mmnUWxsLN1///0ik85q5wC4AqNTI2nO4HjtY9h0eS75GkERAAyq3raT8CNlgtB/DQAAZsMtWLMGxtG5wxJp9ZJJ9PHlo7EWu/DBvmRMKvWO6ZwkBbbF5i7j9uy55s9mcTX97wgMDKSqqiqRWWfrsMWLF+v8H+4P37JlC1122WV2WzYAzGFKr2j6eX+x+BszrQD0LJRFK/WaDHawH6TmAQDAXMakRYqbJJL8sBKB+wbYmzZtouPHj3ey7zL0PGeYuT/bFvj66i5yUVERrVu3ju6++24qKyujlpYWSkhI0HlPXFwc7d6924rvdN2Bj4/G/0feA9enqVWltZJgfH28jO5j2L7uzTWTM2jr57tp1qB4g9sY29ezMbZ9/fw6JomTWQDv9D5CQdyVrzVAFxy7ng22r2eD7evZ+LhAbGRxgP3ggw+a/PyqVasoIyOj289kUbKmpiaDr3E/dUpKis5zHExzYN2nTx+68MIL6cSJE+J5f39/nffxY2Of2x3cHxsV5fqlFOHh8E51F77edpKe+fWo9nFQgF+3+xi2r3syOyqEtvSNp5gQ/y577bF9PRv97esdoO4VZAakRdGQzBgnLBWwBTh2PRtsX9enra2dWtvaaePxMvr1QBGNSI2kBWNSTfq/2L6eTbgTYyOLAuxHH32U6uvrTX4/Z5BNgYXKWPTFlMw192P/85//FBnsjz/+WATRAQEB2sBbCT+2NIPOB251tem/1dHw7AzvQNXVDaRiE0Dg8jQ06E72qFpVVFFRZ/C92L7uD5+5qqo6KhaUYPt6Nsa2L/ddnz00QajdVlTWka83MtfuBo5dzwbb131YeaCY7l2xX/t49uAGmt47qsv/g+3r2fjYKTbizzQ1K25RgD15codvpzP6tzlgvvPOOyk3N5c++eQTiolRz/7Hx8eLzygp0bU94sf6ZePm0Krx1XNleAdyh+UEPGvTsRaun5xBcwcndLvtsH09G2zfnrV9/by86OFZA8TfRVVNwhc7NsSfEsMDnbiUwBJw7Ho22L6uTzurRSoI9PU2eTyM7evZqJwYG7ndtDmXerMtF3txc+ZaBtcMZ7GHDh1KO3fu1D7X1tZGu3btotGjoSoIXAOle0T/uFBKjsCgGoCeyqqDxXTVpzvpjXXZzl4UAABwO/Tbr9jyEABn43YB9h133EEFBQXCjis0tLNh+pVXXimy2n/99RfV1NTQv//9bxGUn3/++U5ZXgD08VFcDF746xhWEAA9DG6FamxRiVLxOoUPNgAAAPPw0ZM3wbkUeKRNlz3Zvn07/fbbb+Tt7U1jxuiapI8bN44++OADmjt3rigJZ//ryspKkdFetmwZhYWFOW25AVCitOU6WdlI67LKhW0XAKBnwII8p7y0Tvx97tBEcY9BIQAAmI++1WkwJiuBC+BWATarjO/bt8/ga16KA4x9sJVe2AC4Evpi0muPlSHABqAHobxeaTPY/shgAwCA1SXiOJcCF8DX3QYl+mriALgb+kJGypJxAIDnozzk65rVCvPIugAAgC1KxN2u+xV4IIhWAXAwA+JD6dxhifT9nkLxGAE2AD0L5XiwHhlsAACwmOhgf5rWJ4ZCA3zo2kkZFBnkh7UJnA4CbACcAPddygBbv38IAODZcDUWH/VsLtMhcoasCwAAmEv/+FD6z/whWHHApUCADYCDUbW1U5PClw8ZbAB6Zpm4qp1o7pAEqm9upX5xnV0xAAAAAOB+IMAGwMHsOFlFS77cbbR/CADQQ4TO2tvpzAFxFB8W4OzFAQAAt+a1tVnU1k508egUignxd/bigB4OAmwAHIx+RTgy2AD0PE7vFyv8sP19UBoOAACWsregmq5dvktUB8oWvJgQrE/gXBBgA+BgfBQR9oNn9qfxGZHYBgD0MJ46e5C4P1hUQ+UNzZQWGUR+CLYBAMAseEQlg2sGehbAFcDUOQBOzGCPSAnvZNsFAOg5XLd8Fy16fxsV1zY5e1EAAMDtgA82cEUQYAPgYJQl4U+uPoL1D0APhbMujRrBwyA/H2cvDgAAuB36TiyBvjiXAueDEnEAnHgxYMEzLhEdmBCG7QBAD2L6K+uppqlV+zgYATYAAJiNcnIywNcbujbAJUAGGwBHH3R6Imc78qqxDQDoYSiTLl6agSEAAADzCPHvCLADcR4FLgKu6AA4mPBAP6OiZwCAnoGXXgZG2HYBAACwOMAGwFVAgA2Ag0kKD6AFI5K0jyEcDEDPbhUJwgARAAAsgqt/hieHU2Z0ED03fwjWInAJ0IMNgIPhTNW1kzLo610FBgU6AACej/KwD/bDXDcAAFh2LvWiZRePxMoDLgUCbACc3Iet35MNAPB85MTaqX1iaGRKuLMXBwAAAAA2AgE2AA4mu7yeLnxvq/axl043JgCgJyAn1q6flEEDEkKdvTgAAOC27MqronVZ5TQgPpRm9I9z9uIAgAAbAEfT0KLSeezniwAbgJ7G2PRIqmpopWD0XwMAgFVcu3yXuPf38UKADVwCZLABcDDt7R1/v7JgGPWJDcY2AKCH8ejsgVRR3yyC7Mr6FooM1nUXAAAAYB4qxfgKAGcCZRUAHIzy/D8hM4piQwOwDQDogfywt4gufH8rvfDXMWcvCgAAuD1tbYiwgWuAABsAB5MWGaj9+7H/HepUMg4A6BnIY599sAEAAFhGbIi/uIdgJHAVEGAD4GDCA/3o66vHib9/2FdEuRUN2AYA9DAu/XAbvbMxV/yNABsAACznzUUj6OLRKfTE3EFYjcAlQA+2jWhrayOVqtUJ3+tFjY0+1NzcRCo0n7gUPj6+5O3t3W0W+2hJnVC+BAD0HJpa27R/B0HoDAAALCY9Koj+cXofrEHgMiDAtpL29naqri6nhoZachalpd4iwAeuR1BQKIWHR5OXxvNWov8YANCz8JY+XchgAwAAAB4FAmwrkcF1aGgU+fsHOCVw8vHxQvbaBSdeuKqgtrZCPI6IiDH6XsTaAPQ8FPE1BfuhWwsAAADwFBBgW0Fbm0obXIeGhpOz8PX1plZFuSFwDXjCheEgOywsymi5OACg5+GtmFlDiTgAAADgOWDEbwUqlUonkAJAH7lvOKM/HwDgusjwuldMMPWODnHy0gAAAADAViDAtgHopwXYNwAAlmSwb5/WmwYkQOQQAAAA8BRQIg6Ak/Dx9iJVW7tQvwQA9CwGJoRSsL8PhQXgMgwAAAB4Eshgg24pLi6iCy44h44dO2qTtVVZWUn79+81+np1dbX4voMH97vcspv7W7ripfOH0n/OHUIZUcE2Xy4AgGtz/5n96cFZ/SkxPEBMtAEAAADAM0CADUzqNS8sLKCWlmabrK077riJtm3bavT10NBQevnlN6l3774ut+zm/pauGJ8RRdP6xlBYIDJYAPRELv5gG815cxMV1jQ6e1EAAAAAYCMwsgcOp6mpqcvXWW07KSmZPOG3AACAIThr3ahxfwj288FKAgAAADwEBNhA0NTUSB9++B5t2LBWPB46dDhdc80NFBERafZ7Gxsb6YMPltGmTetFBnnw4KF09dXXU1xcPN11162Ul3eSPvnkA9q7dxfdfff9dMMNV9Hll19FK1Z8SyEhIfToo0/RddddSU888QwNHDi4y89jjhw5RF988Rnl5GSL8vLExES64IJFNHXqtG63bn19HX3yyYe0Zcsmqq+vp5EjR9HixddRbGysKC+/6aZr6Zlnnqc+fdTZdPncs8++SK+++oLOb+H3AQCAKSz9arf27yAE2AAAAIDHgBJxO9HQojJ6a9LzrO7qvY0tqu7f22z4vebw8MP/R9u3b6Vbb72T7r77AaqpqRGBLwfT5ry3vb2d7r77dtqwYR0tXXq7eJ2zvLfffhO1tbXRvfc+SAkJiTRv3nn0z3/ery3h/uqr5XTPPffTJZdcQV5e3uK5pqbmbj+vvLyMli5VB9v33fcQPfbYUxQWFk4PPXQfVVRUdPmbW1tb6ZZbbqSNG9fTjTfeLP5/fn4+LVlytfhNhsrL5XOtrS2dfgsAAJhKSW3HeSXAF5diAAAAwFNABttOnPrSOqOvTekVTS+cP1T7+MzXNmhLBfUZnRpBby4aoX087+3NVNnQYvC9gxJC6cPLRpu9rLt376T169fSd9/9QtHRMeK5++9/hBYsOJt+/vlHmjhxssnv5UwvB98ff/wlZWb2Eq8PGDCQSkqKRUAcGxtHvr6+IgiWWWLmwgsvpv79B2qFwyR79uzq8vM44/3hh8spMTFJ+3+uu24J/fHHr+Kzw8PDjf7uNWv+pKNHD9Pnn3+n/f+cNb/wwnPohx++pdNPn9nletP/LQAAYCrKCVFYPQIAAACeAwJsQIcOHRRr4frrF+usjZqaaqG+rQywu3svZ4U54JTBsNjJfH277alOSUk1+Dx/X1efx39zFnnHjm109OgRyss7QXv37hGvtbcbnrRQfnZSUopOcB4cHEwDBw6hgwcPdBtgAwCApehXMgEAAADAM0CAbSf+vnWK0de8vbx0Hq+6aZLR9+q+k2jFdeM7vcfXx5taVW2d3msqDQ31FB4eIZS79QkKChavm/reVat+IX9/f7OXISAg0ODzXCLe1efV1taKcnHOVo8ePZb69OlHCxdeQo899kC338lZIz+/zoeAoecknDUHAABrMVa1BAAAAAD3BgG2nTBHtMba9/r6elNrq6XhNVFaWjpVVqr7lQ1lmpUBdnfvTUtLo4qKciE2Zqw825xyyO4+b+XKnykr6xh9++3PIvBndu7crg3OuyI9PYMKCvKFuBlnrmUAfezYMZo580yRHWe4F1xSWlpq8W8BAABJTIg/5Vc1Umqk4clFAAAAALgnUFYBNHnyKaJE+9lnnxYZYebAgX102WUXij5lc947btxE8forrzxPLS3qXvF169bQRRedJwJlJiAgQKh3czl5d3T3eRzgclAs+7bz8/PoxRf/I/5ubu7a+/q002aIoPyFF54V7+XPeffdt6i8vJTmzDlH9Jjz7fffV4lgnX/vBx+8o/MZ5vwWAACQZEQFiftrJ2ZgpQAAAAAeBDLYQASJTz/9HD3zzBN09tkzKTAwkLy9feiiiy4VVlesmm3qezngffLJf9NTTz1GZ511GgUFBVFQUAjdcssdFBUVLT7jjDNm0xtvvEx//vkbvfji613voL6+XX7e3LnzaPPmDXT55QspMjKS/Pz8adGiS+nDD98VAmbx8QlGP5s/S/4W/mwfHx+Rlf/Pf14SmXrmzjvvEZMJq1evFP7cV111LW3btkX7Gcrf8tln32BvAgCYRHpUEFU1tlJ4IC7DAAAAgCfh1d5dHW0PR6ViK6g6g6+xfVNZWQHFxCSJwM5ZqEvEbdPPx/ZUbEEVGRmlLX/m7CyrdrNqtp+fX5fvVVJdXSUyv4a8tLnkm0XIQkPDRP90TEystteaM8lFRYU6z3X3eQ0NDRqBtTDxuKysVATnISGhBpfd0LIyssxcCVtzseUXB/D8mTzhwMsmP0/+FkPLZe0+wts2KiqEKio4S46eTU8D27fnbt/aplbRhx3q70OB8MF2O3DsejbYvp4Ntq9n42unsXN0dAj5+JhW/O22U+dc0sslu9HR6qyoPhxscdlwTEwM+mTNQAaoSoypgBt6rxJDwWrHax391PqfzZliQ9/X1edxNloJB8DGPt/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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig_res_pwr, ax_res_pwr = plot_hev_res_pwr(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "cell-11", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig_res_energy, ax_res_energy = plot_hev_res_energy(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "cell-12", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig_temps, ax_temps = plot_hev_temperatures(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "cell-13", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plot_road_loads(df, veh, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.14.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/demo_notebooks/demo_label_fe.ipynb b/docs/content/label_fe.ipynb similarity index 70% rename from docs/demo_notebooks/demo_label_fe.ipynb rename to docs/content/label_fe.ipynb index 5088c25b9..33eb00aa8 100644 --- a/docs/demo_notebooks/demo_label_fe.ipynb +++ b/docs/content/label_fe.ipynb @@ -7,14 +7,6 @@ "source": [ "# Comparing Simulations to Label Fuel Economy" ] - }, - { - "cell_type": "markdown", - "id": "cell-1", - "metadata": {}, - "source": [ - "*Source: `fastsim/docs/demo_scripts/demo_label_fe.py`*" - ] } ], "metadata": { diff --git a/docs/content/maneuver_intro.ipynb b/docs/content/maneuver_intro.ipynb new file mode 100644 index 000000000..8cf9706aa --- /dev/null +++ b/docs/content/maneuver_intro.ipynb @@ -0,0 +1,283 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "cell-0", + "metadata": {}, + "source": [ + "# CAVS: Intro to Maneuvers\n", + "\n", + "The `Maneuver` struct applies Connected Automated Vehicle (CAV) maneuvers\n", + "to a drive cycle and returns the modified cycle. This demo walks through\n", + "the core Maneuver workflow." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "cell-1", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "\n", + "import fastsim as fsim" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "cell-2", + "metadata": {}, + "outputs": [], + "source": [ + "sns.set_theme()\n", + "\n", + "SHOW_PLOTS = os.environ.get(\"SHOW_PLOTS\", \"true\").lower() == \"true\"" + ] + }, + { + "cell_type": "markdown", + "id": "cell-3", + "metadata": {}, + "source": [ + "## Creating a Maneuver\n", + "\n", + "`Maneuver.create_from` creates a Maneuver from a cycle and vehicle.\n", + "It copies chassis data from the vehicle and solver settings from\n", + "`SimParams` defaults." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "cell-4", + "metadata": {}, + "outputs": [], + "source": [ + "veh = fsim.Vehicle.from_resource(\"2012_Ford_Fusion.yaml\")\n", + "veh.set_save_interval(1)\n", + "\n", + "cyc = fsim.Cycle.from_resource(\"udds.csv\")\n", + "cyc0 = cyc.copy()\n", + "\n", + "man = fsim.Maneuver.create_from(cyc, veh.copy())" + ] + }, + { + "cell_type": "markdown", + "id": "cell-5", + "metadata": {}, + "source": [ + "## Inspecting and Modifying Parameters\n", + "\n", + "`to_pydict()` serializes the Maneuver to a Python dictionary.\n", + "Parameters can be modified in the dictionary and then loaded back\n", + "with `Maneuver.from_pydict()`.\n", + "\n", + "The Maneuver struct has two groups of configurable parameters:\n", + "\n", + "**Coasting** (`coast_*`): controls whether and how coasting is applied\n", + "to the cycle.\n", + "\n", + "**IDM** (`idm_*`): Intelligent Driver Model, Adaptive Cruise Control\n", + "version." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "cell-6", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Coasting parameters:\n", + " coast_allow: False\n", + " coast_allow_passing: False\n", + " coast_brake_accel_meters_per_second_squared: -2.5\n", + " coast_brake_start_speed_meters_per_second: 8.9408\n", + " coast_delay_index: [0, 0]\n", + " coast_max_speed_meters_per_second: 40.0\n", + " coast_start_speed_meters_per_second: 0.0\n", + " coast_time_horizon_for_adjustment_seconds: 20.0\n", + "\n", + "IDM parameters:\n", + " idm_acceleration_meters_per_second_squared: 1.0\n", + " idm_allow: False\n", + " idm_deceleration_meters_per_second_squared: 1.5\n", + " idm_delta: 4.0\n", + " idm_desired_speed_by_distance: None\n", + " idm_desired_speed_meters_per_second: 33.528\n", + " idm_headway_seconds: 1.0\n", + " idm_minimum_gap_meters: 2.0\n", + " idm_target_speed_m_per_s: [0.0, 0.0]\n" + ] + } + ], + "source": [ + "d = man.to_pydict()\n", + "\n", + "print(\"Coasting parameters:\")\n", + "for k in sorted(d):\n", + " if k.startswith(\"coast\"):\n", + " print(f\" {k}: {d[k]}\")\n", + "\n", + "print(\"\\nIDM parameters:\")\n", + "for k in sorted(d):\n", + " if k.startswith(\"idm\"):\n", + " print(f\" {k}: {d[k]}\")" + ] + }, + { + "cell_type": "markdown", + "id": "cell-7", + "metadata": {}, + "source": [ + "## Applying Maneuvers\n", + "\n", + "Enable coasting and call `apply_maneuvers()` to get a modified cycle.\n", + "The returned `Cycle` can then be passed to `SimDrive` for simulation." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "cell-8", + "metadata": {}, + "outputs": [], + "source": [ + "d[\"coast_allow\"] = True\n", + "d[\"coast_start_speed_meters_per_second\"] = 15.0\n", + "man = fsim.Maneuver.from_pydict(d)\n", + "\n", + "cyc_modified = man.apply_maneuvers()" + ] + }, + { + "cell_type": "markdown", + "id": "cell-9", + "metadata": {}, + "source": [ + "## Comparing Original and Modified Cycles\n", + "\n", + "The modified cycle deviates from the original where coasting is applied." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "cell-10", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "if SHOW_PLOTS:\n", + " c0 = cyc0.to_pydict()\n", + " cm = cyc_modified.to_pydict()\n", + "\n", + " fig, ax = plt.subplots(figsize=(10, 4))\n", + " ax.plot(c0[\"time_seconds\"], c0[\"speed_meters_per_second\"], label=\"Original\")\n", + " ax.plot(cm[\"time_seconds\"], cm[\"speed_meters_per_second\"], linestyle=\"--\", label=\"Modified\")\n", + " ax.set_xlabel(\"Time [s]\")\n", + " ax.set_ylabel(\"Speed [m/s]\")\n", + " ax.set_title(\"Original vs. Modified Cycle\")\n", + " ax.legend()\n", + " plt.tight_layout()\n", + " plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "cell-11", + "metadata": {}, + "source": [ + "## Simulating with the Modified Cycle" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "cell-12", + "metadata": {}, + "outputs": [], + "source": [ + "sd = fsim.SimDrive(veh, cyc_modified)\n", + "sd.walk()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "cell-13", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "if SHOW_PLOTS:\n", + " df = sd.to_dataframe()\n", + "\n", + " fig, ax = plt.subplots(figsize=(10, 4))\n", + " ax.plot(c0[\"time_seconds\"], c0[\"speed_meters_per_second\"], label=\"Original Cycle\")\n", + " ax.plot(\n", + " df[\"cyc.time_seconds\"],\n", + " df[\"veh.history.speed_ach_meters_per_second\"],\n", + " linestyle=\"--\",\n", + " label=\"Achieved Speed\",\n", + " )\n", + " ax.set_xlabel(\"Time [s]\")\n", + " ax.set_ylabel(\"Speed [m/s]\")\n", + " ax.set_title(\"Achieved Speed with Coasting Maneuver\")\n", + " ax.legend()\n", + " plt.tight_layout()\n", + " plt.show()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.14.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/content/microtrips.ipynb b/docs/content/microtrips.ipynb new file mode 100644 index 000000000..82a55bcea --- /dev/null +++ b/docs/content/microtrips.ipynb @@ -0,0 +1,148 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "cell-0", + "metadata": {}, + "source": [ + "# CAVS: Cycle Microtrips\n", + "\n", + "This Connected Automated Vehicle (CAV) demo extracts and plots individual\n", + "microtrips from a drive cycle." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "cell-1", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "\n", + "import sys\n", + "from pathlib import Path\n", + "\n", + "sys.path.insert(0, str(next(p / \"demo_scripts\" for p in (Path.cwd(), *Path.cwd().parents) if (p / \"demo_scripts\").is_dir())))\n", + "\n", + "import fastsim as fsim\n", + "from plot_utils import BASE_COLORS, BASE_LINE_STYLES" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "cell-2", + "metadata": {}, + "outputs": [], + "source": [ + "sns.set_theme()\n", + "\n", + "SHOW_PLOTS = os.environ.get(\"SHOW_PLOTS\", \"true\").lower() == \"true\"\n", + "SAVE_FIGS = os.environ.get(\"SAVE_FIGS\", \"false\").lower() == \"true\"" + ] + }, + { + "cell_type": "markdown", + "id": "cell-3", + "metadata": {}, + "source": [ + "## Extract Microtrips\n", + "\n", + "`Cycle.to_microtrips` splits a drive cycle into individual microtrips.\n", + "An optional `stop_speed` parameter sets the threshold below which the\n", + "vehicle is considered stopped." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "cell-4", + "metadata": {}, + "outputs": [], + "source": [ + "cycle = fsim.Cycle.from_resource(\"udds.csv\")\n", + "microtrips = cycle.to_microtrips(None)" + ] + }, + { + "cell_type": "markdown", + "id": "cell-5", + "metadata": {}, + "source": [ + "The first four microtrips from the Urban Dynamometer Driving Schedule\n", + "(UDDS) cycle." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "cell-6", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "if SHOW_PLOTS:\n", + " max_microtrips = 4\n", + " fig, ax = plt.subplots()\n", + " num = min(max_microtrips, len(microtrips))\n", + " for idx, mt in enumerate(microtrips):\n", + " mtd = mt.to_pydict()\n", + " color = BASE_COLORS[idx % len(BASE_COLORS)]\n", + " line = BASE_LINE_STYLES[idx % len(BASE_LINE_STYLES)]\n", + " ax.plot(\n", + " mtd[\"time_seconds\"],\n", + " mtd[\"speed_meters_per_second\"],\n", + " marker=\".\",\n", + " color=color,\n", + " linestyle=line,\n", + " label=f\"#{idx + 1}\",\n", + " )\n", + " if idx >= max_microtrips:\n", + " break\n", + " ax.set_title(f\"First {num + 1} Microtrips of UDDS\")\n", + " ax.set_ylabel(\"Speed (m/s)\")\n", + " ax.set_xlabel(\"Time (s)\")\n", + " ax.legend()\n", + " fig.tight_layout()\n", + " if SAVE_FIGS:\n", + " plt.savefig(Path(\"./plots/microtrips.svg\"))\n", + " plt.show()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.14.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/demo_scripts/plot_utils.py b/docs/content/plot_utils.py similarity index 100% rename from docs/demo_scripts/plot_utils.py rename to docs/content/plot_utils.py diff --git a/docs/content/stop_start.ipynb b/docs/content/stop_start.ipynb new file mode 100644 index 000000000..d22926102 --- /dev/null +++ b/docs/content/stop_start.ipynb @@ -0,0 +1,708 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "cell-0", + "metadata": {}, + "source": [ + "# Engine Stop/Start Demo\n", + "\n", + "This demo simulates a conventional vehicle over a drive cycle with and\n", + "without engine stop/start, which turns the engine off while the vehicle\n", + "is stopped, and compares the resulting fuel economy. It then converts\n", + "the vehicle to a micro hybrid electric vehicle (uHEV) with a small\n", + "battery and electric machine that supplies auxiliary loads when\n", + "feasible, including while the engine is off." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "cell-1", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "import sys\n", + "from pathlib import Path\n", + "\n", + "import matplotlib.pyplot as plt\n", + "import pandas as pd\n", + "import seaborn as sns\n", + "from matplotlib.axes import Axes\n", + "from matplotlib.figure import Figure\n", + "\n", + "sys.path.insert(0, str(next(p / \"demo_scripts\" for p in (Path.cwd(), *Path.cwd().parents) if (p / \"demo_scripts\").is_dir())))\n", + "\n", + "import fastsim as fsim\n", + "from plot_utils import get_paired_cycler, get_uni_cycler" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "cell-2", + "metadata": {}, + "outputs": [], + "source": [ + "sns.set_theme()\n", + "\n", + "# if environment var `SHOW_PLOTS=false` is set, no plots are shown\n", + "SHOW_PLOTS = os.environ.get(\"SHOW_PLOTS\", \"true\").lower() == \"true\"\n", + "# if environment var `SAVE_FIGS=true` is set, save plots\n", + "SAVE_FIGS = os.environ.get(\"SAVE_FIGS\", \"false\").lower() == \"true\"\n", + "\n", + "METERS_PER_MILE = 1609.34\n", + "MJ_PER_GGE = 125.0" + ] + }, + { + "cell_type": "markdown", + "id": "cell-3", + "metadata": {}, + "source": [ + "## Setup and Simulation\n", + "\n", + "Run the same vehicle and drive cycle twice: first with the default\n", + "powertrain controller, then with the stop/start controller enabled via\n", + "`use_stop_start_controller`. The stop/start controller turns the engine\n", + "off while the vehicle is stopped, subject to conditions such as a\n", + "minimum engine on time and engine warm-up temperature." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "cell-4", + "metadata": {}, + "outputs": [], + "source": [ + "# load 2026 Chrysler Pacifica Select\n", + "veh = fsim.Vehicle.from_resource(\"2026_Chrysler_Pacifica_Select.yaml\")\n", + "veh.set_save_interval(1)\n", + "\n", + "# load cycle from file\n", + "cyc = fsim.Cycle.from_resource(\"udds.csv\")\n", + "\n", + "# instantiate `SimDrive` simulation object and run\n", + "sd = fsim.SimDrive(veh, cyc)\n", + "sd.walk()\n", + "df = sd.to_dataframe()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "cell-5", + "metadata": {}, + "outputs": [], + "source": [ + "# load 2026 Chrysler Pacifica Select with stop/start\n", + "veh_ss = fsim.Vehicle.from_resource(\"2026_Chrysler_Pacifica_Select.yaml\")\n", + "veh_ss.use_stop_start_controller()\n", + "veh_ss.set_save_interval(1)\n", + "\n", + "sd_ss = fsim.SimDrive(veh_ss, cyc)\n", + "sd_ss.walk()\n", + "df_ss = sd_ss.to_dataframe()" + ] + }, + { + "cell_type": "markdown", + "id": "cell-6", + "metadata": {}, + "source": [ + "## Fuel Economy Comparison\n", + "\n", + "Compute fuel economy for both runs from cumulative fuel energy and cycle\n", + "distance, then print the percent reduction in fuel use from stop/start." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "cell-7", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Conventional Vehicle Fuel Economy: 23.89440188640568 mpg\n", + "Conventional w/ Stop/Start : 25.967510082378613 mpg\n", + "Stop/Start Reduction in Fuel Usage (Conv): 7.983469302202093 %\n" + ] + } + ], + "source": [ + "cyc_dict = cyc.to_pydict()\n", + "distance_m = cyc_dict[\"dist_meters\"][-1]\n", + "distance_mi = distance_m / METERS_PER_MILE\n", + "\n", + "fuel_mj = df[\"veh.pt_type.Conv.fc.history.energy_fuel_joules\"][-1] / 1e6\n", + "fuel_ss_mj = df_ss[\"veh.pt_type.Conv.fc.history.energy_fuel_joules\"][-1] / 1e6\n", + "\n", + "gge_gal = fuel_mj / MJ_PER_GGE\n", + "gge_ss_gal = fuel_ss_mj / MJ_PER_GGE\n", + "fuel_economy_mpg = distance_mi / gge_gal\n", + "fuel_economy_ss_mpg = distance_mi / gge_ss_gal\n", + "\n", + "percent_reduction = (fuel_mj - fuel_ss_mj) * 100.0 / fuel_mj\n", + "\n", + "print(f\"Conventional Vehicle Fuel Economy: {fuel_economy_mpg} mpg\")\n", + "print(f\"Conventional w/ Stop/Start : {fuel_economy_ss_mpg} mpg\")\n", + "print(f\"Stop/Start Reduction in Fuel Usage (Conv): {percent_reduction} %\")" + ] + }, + { + "cell_type": "markdown", + "id": "cell-8", + "metadata": {}, + "source": [ + "## Micro Hybrid Conversion\n", + "\n", + "The following function converts the conventional vehicle into a micro\n", + "hybrid electric vehicle (uHEV): a vehicle with a small battery and\n", + "electric machine that support engine stop/start. The conversion keeps\n", + "the original fuel converter, fuel storage, and transmission, adds a\n", + "battery and a constant-efficiency electric machine, supplies auxiliary\n", + "loads from the battery when feasible (`AuxOnResPriority`), and uses the\n", + "hybrid stop/start powertrain controller with optional regenerative\n", + "braking. The dictionaries are written out in full to show the fields\n", + "available for tweaking." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "cell-9", + "metadata": {}, + "outputs": [], + "source": [ + "def conv_to_micro_hybrid(\n", + " veh: fsim.Vehicle,\n", + " res_eff: float | None = None,\n", + " res_capacity_joules: float | None = None,\n", + " em_eff: float | None = None,\n", + " em_max_pwr_w: float | None = None,\n", + " allow_regen: bool = True,\n", + ") -> fsim.Vehicle:\n", + " \"\"\"Build a micro hybrid version of the Chrysler Pacifica Select.\"\"\"\n", + " # veh = fsim.Vehicle.from_resource(\"2026_Chrysler_Pacifica_Select.yaml\")\n", + " res_eff = 0.90 if res_eff is None else res_eff\n", + " res_capacity_joules = 72_000.0 if res_capacity_joules is None else res_capacity_joules\n", + " em_eff = 0.95 if em_eff is None else em_eff\n", + " em_max_pwr_w = 5_000.0 if em_max_pwr_w is None else em_max_pwr_w\n", + " assert res_capacity_joules > 0.0\n", + " assert res_eff > 0.0 and res_eff <= 1.0, \"res_eff must be in range (0.0, 1.0]\"\n", + " assert em_eff > 0.0 and em_eff <= 1.0, \"em_eff must be in range (0.0, 1.0]\"\n", + " veh_dict = veh.to_pydict()\n", + " res = {\n", + " \"thrml\": \"None\",\n", + " \"mass_kilograms\": None,\n", + " \"specific_energy_joules_per_kilogram\": None,\n", + " \"pwr_out_max_watts\": em_max_pwr_w,\n", + " \"energy_capacity_joules\": res_capacity_joules,\n", + " \"eff_interp\": {\n", + " \"Constant\": res_eff,\n", + " },\n", + " \"min_soc\": 0.0,\n", + " \"max_soc\": 1.0,\n", + " \"state\": {\n", + " \"pwr_prop_max_watts\": 0.0,\n", + " \"pwr_regen_max_watts\": 0.0,\n", + " \"pwr_disch_max_watts\": 0.0,\n", + " \"pwr_charge_max_watts\": 0.0,\n", + " \"i\": 0,\n", + " \"soc\": 0.5,\n", + " \"soc_regen_buffer\": 1.0,\n", + " \"soc_disch_buffer\": 0.0,\n", + " \"eff\": 0.0,\n", + " \"soh\": 0.0,\n", + " \"pwr_out_electrical_watts\": 0.0,\n", + " \"pwr_out_prop_watts\": 0.0,\n", + " \"pwr_aux_watts\": 0.0,\n", + " \"pwr_loss_watts\": 0.0,\n", + " \"pwr_out_chemical_watts\": 0.0,\n", + " \"energy_out_electrical_joules\": 0.0,\n", + " \"energy_out_prop_joules\": 0.0,\n", + " \"energy_aux_joules\": 0.0,\n", + " \"energy_loss_joules\": 0.0,\n", + " \"energy_out_chemical_joules\": 0.0,\n", + " },\n", + " \"history\": {\n", + " \"pwr_prop_max_watts\": [],\n", + " \"pwr_regen_max_watts\": [],\n", + " \"pwr_disch_max_watts\": [],\n", + " \"pwr_charge_max_watts\": [],\n", + " \"i\": [],\n", + " \"soc\": [],\n", + " \"soc_regen_buffer\": [],\n", + " \"soc_disch_buffer\": [],\n", + " \"eff\": [],\n", + " \"soh\": [],\n", + " \"pwr_out_electrical_watts\": [],\n", + " \"pwr_out_prop_watts\": [],\n", + " \"pwr_aux_watts\": [],\n", + " \"pwr_loss_watts\": [],\n", + " \"pwr_out_chemical_watts\": [],\n", + " \"energy_out_electrical_joules\": [],\n", + " \"energy_out_prop_joules\": [],\n", + " \"energy_aux_joules\": [],\n", + " \"energy_loss_joules\": [],\n", + " \"energy_out_chemical_joules\": [],\n", + " },\n", + " \"save_interval\": 1,\n", + " }\n", + " em = {\n", + " \"eff_interp_achieved\": {\n", + " \"data\": {\n", + " \"grid\": [\n", + " {\n", + " \"v\": 1,\n", + " \"dim\": [2],\n", + " \"data\": [0.0, 1.0],\n", + " },\n", + " ],\n", + " \"values\": {\n", + " \"v\": 1,\n", + " \"dim\": [2],\n", + " \"data\": [em_eff, em_eff],\n", + " },\n", + " },\n", + " \"strategy\": \"Linear\",\n", + " \"extrapolate\": \"Error\",\n", + " },\n", + " \"eff_interp_at_max_input\": {\n", + " \"data\": {\n", + " \"grid\": [\n", + " {\n", + " \"v\": 1,\n", + " \"dim\": [2],\n", + " \"data\": [0.0, 1.0],\n", + " },\n", + " ],\n", + " \"values\": {\n", + " \"v\": 1,\n", + " \"dim\": [2],\n", + " \"data\": [em_eff, em_eff],\n", + " },\n", + " },\n", + " \"strategy\": \"Linear\",\n", + " \"extrapolate\": \"Error\",\n", + " },\n", + " \"pwr_out_max_watts\": em_max_pwr_w,\n", + " \"specific_pwr_watts_per_kilogram\": None,\n", + " \"mass_kilograms\": None,\n", + " \"save_interval\": 1,\n", + " \"state\": {\n", + " \"i\": 0,\n", + " \"eff\": 0.0,\n", + " \"pwr_mech_fwd_out_max_watts\": 0.0,\n", + " \"eff_fwd_at_max_input\": 0.0,\n", + " \"pwr_mech_regen_max_watts\": 0.0,\n", + " \"eff_at_max_regen\": 0.0,\n", + " \"pwr_out_req_watts\": 0.0,\n", + " \"energy_out_req_joules\": 0.0,\n", + " \"pwr_elec_prop_in_watts\": 0.0,\n", + " \"energy_elec_prop_in_joules\": 0.0,\n", + " \"pwr_mech_prop_out_watts\": 0.0,\n", + " \"energy_mech_prop_out_joules\": 0.0,\n", + " \"pwr_mech_dyn_brake_watts\": 0.0,\n", + " \"energy_mech_dyn_brake_joules\": 0.0,\n", + " \"pwr_elec_dyn_brake_watts\": 0.0,\n", + " \"energy_elec_dyn_brake_joules\": 0.0,\n", + " \"pwr_loss_watts\": 0.0,\n", + " \"energy_loss_joules\": 0.0,\n", + " },\n", + " \"history\": {\n", + " \"i\": [],\n", + " \"eff\": [],\n", + " \"pwr_mech_fwd_out_max_watts\": [],\n", + " \"eff_fwd_at_max_input\": [],\n", + " \"pwr_mech_regen_max_watts\": [],\n", + " \"eff_at_max_regen\": [],\n", + " \"pwr_out_req_watts\": [],\n", + " \"energy_out_req_joules\": [],\n", + " \"pwr_elec_prop_in_watts\": [],\n", + " \"energy_elec_prop_in_joules\": [],\n", + " \"pwr_mech_prop_out_watts\": [],\n", + " \"energy_mech_prop_out_joules\": [],\n", + " \"pwr_mech_dyn_brake_watts\": [],\n", + " \"energy_mech_dyn_brake_joules\": [],\n", + " \"pwr_elec_dyn_brake_watts\": [],\n", + " \"energy_elec_dyn_brake_joules\": [],\n", + " \"pwr_loss_watts\": [],\n", + " \"energy_loss_joules\": [],\n", + " },\n", + " }\n", + " pt_cntrl = {\n", + " \"StopStart\": {\n", + " \"fc_min_time_on_seconds\": None,\n", + " \"soc_fc_forced_on\": None,\n", + " \"frac_of_most_eff_pwr_to_run_fc\": None,\n", + " \"temp_fc_forced_on_kelvin\": None,\n", + " \"temp_fc_allowed_off_kelvin\": None,\n", + " \"time_delay_after_stop_until_fc_can_turn_off_seconds\": None,\n", + " \"em_can_regen\": allow_regen,\n", + " \"save_interval\": 1,\n", + " \"state\": {\n", + " \"i\": 0,\n", + " \"fc_temperature_too_low\": False,\n", + " \"vehicle_not_stopped\": False,\n", + " \"on_time_too_short\": False,\n", + " \"aux_power_demand\": False,\n", + " \"charging_for_low_soc\": False,\n", + " \"time_vehicle_stopped_seconds\": 0.0,\n", + " \"vehicle_not_stopped_long_enough\": False,\n", + " \"has_traction_power_request\": False,\n", + " },\n", + " \"history\": {\n", + " \"i\": [],\n", + " \"fc_temperature_too_low\": [],\n", + " \"vehicle_not_stopped\": [],\n", + " \"on_time_too_short\": [],\n", + " \"aux_power_demand\": [],\n", + " \"charging_for_low_soc\": [],\n", + " \"time_vehicle_stopped_seconds\": [],\n", + " \"vehicle_not_stopped_long_enough\": [],\n", + " \"has_traction_power_request\": [],\n", + " },\n", + " },\n", + " }\n", + " sim_params = {\n", + " \"res_per_fuel_lim\": 0.005,\n", + " \"soc_balance_iter_err\": 5,\n", + " \"balance_soc\": True,\n", + " \"save_soc_bal_iters\": False,\n", + " }\n", + " # NOTE: The value of 11.9 kW below is the approximate idle fuel consumption of the\n", + " # conventional version of the vehicle. In theory, this could be much lower as the\n", + " # accessories can be supplied electrically (thus alleviating the need for engine on).\n", + " # NOTE: if pwr_idle_fuel_watts is too low or zero, the engine effectively uses DFCO\n", + " # behavior where it \"shuts off\" (i.e., technically on but using no fuel) if no\n", + " # tractive effort is demanded.\n", + " veh_dict[\"pt_type\"][\"Conv\"][\"fc\"][\"pwr_idle_fuel_watts\"] = 11_900.0\n", + " veh_dict[\"pt_type\"] = {\n", + " \"HEV\": {\n", + " \"res\": res,\n", + " \"fs\": veh_dict[\"pt_type\"][\"Conv\"][\"fs\"],\n", + " \"fc\": veh_dict[\"pt_type\"][\"Conv\"][\"fc\"],\n", + " \"em\": em,\n", + " \"transmission\": veh_dict[\"pt_type\"][\"Conv\"][\"transmission\"],\n", + " \"pt_cntrl\": pt_cntrl,\n", + " \"aux_cntrl\": \"AuxOnResPriority\",\n", + " \"mass_kilograms\": None,\n", + " \"sim_params\": sim_params,\n", + " },\n", + " }\n", + " veh_uhev = fsim.Vehicle.from_pydict(veh_dict)\n", + " return veh_uhev" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "cell-10", + "metadata": {}, + "outputs": [], + "source": [ + "veh_uhev = conv_to_micro_hybrid(veh)\n", + "sd_uhev = fsim.SimDrive(veh_uhev, cyc)\n", + "sd_uhev.walk()\n", + "df_uhev = sd_uhev.to_dataframe()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "cell-11", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Conventional Vehicle Fuel Economy: 23.89440188640568 mpg\n", + "Micro HEV Fuel Economy : 25.417608925328146 mpg\n", + "Stop/Start Reduction in Fuel Usage (uHEV): 5.992723561832026 %\n" + ] + } + ], + "source": [ + "# uHEV reduction in fuel usage\n", + "fuel_uhev_mj = df_uhev[\"veh.pt_type.HEV.fc.history.energy_fuel_joules\"][-1] / 1e6\n", + "gge_uhev_gal = fuel_uhev_mj / MJ_PER_GGE\n", + "fuel_economy_uhev_mpg = distance_mi / gge_uhev_gal\n", + "\n", + "percent_reduction = (fuel_mj - fuel_uhev_mj) * 100.0 / fuel_mj\n", + "\n", + "print(f\"Conventional Vehicle Fuel Economy: {fuel_economy_mpg} mpg\")\n", + "print(f\"Micro HEV Fuel Economy : {fuel_economy_uhev_mpg} mpg\")\n", + "print(f\"Stop/Start Reduction in Fuel Usage (uHEV): {percent_reduction} %\")" + ] + }, + { + "cell_type": "markdown", + "id": "cell-12", + "metadata": {}, + "source": [ + "## Visualize Results\n", + "\n", + "The following plots compare fuel converter behavior between the runs." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "cell-13", + "metadata": {}, + "outputs": [], + "source": [ + "def plot_fc_pwr(df: pd.DataFrame, df_ss: pd.DataFrame, is_hev: bool = False) -> tuple[Figure, Axes]:\n", + " \"\"\"Plot fuel converter powers.\"\"\"\n", + " num_subplots = 4 if is_hev else 3\n", + " fig, ax = plt.subplots(num_subplots, 1, sharex=True, figsize=(10, 9))\n", + " title_postfix = \" (uHEV)\" if is_hev else \"\"\n", + " plt.suptitle(\"Fuel Converter Power\" + title_postfix)\n", + " tag = \"HEV\" if is_hev else \"Conv\"\n", + "\n", + " ax[0].set_prop_cycle(get_paired_cycler())\n", + " ax[0].plot(\n", + " df[\"cyc.time_seconds\"],\n", + " (\n", + " df[\"veh.pt_type.Conv.fc.history.pwr_prop_watts\"]\n", + " + df[\"veh.pt_type.Conv.fc.history.pwr_aux_watts\"]\n", + " )\n", + " / 1e3,\n", + " label=\"f3 shaft\",\n", + " )\n", + " ax[0].plot(\n", + " df_ss[\"cyc.time_seconds\"],\n", + " (\n", + " df_ss[f\"veh.pt_type.{tag}.fc.history.pwr_prop_watts\"]\n", + " + df_ss[f\"veh.pt_type.{tag}.fc.history.pwr_aux_watts\"]\n", + " )\n", + " / 1e3,\n", + " label=\"f3 shaft (ss)\",\n", + " )\n", + " ax[0].set_ylabel(\"FC Power [kW]\")\n", + " ax[0].legend()\n", + "\n", + " ax[1].set_prop_cycle(get_paired_cycler())\n", + " ax[1].plot(\n", + " df[\"cyc.time_seconds\"],\n", + " df[\"veh.pt_type.Conv.fc.history.pwr_fuel_watts\"] / 1e3,\n", + " label=\"f3 fuel\",\n", + " )\n", + " ax[1].plot(\n", + " df_ss[\"cyc.time_seconds\"],\n", + " df_ss[f\"veh.pt_type.{tag}.fc.history.pwr_fuel_watts\"] / 1e3,\n", + " label=\"f3 fuel (ss)\",\n", + " )\n", + " ax[1].set_ylabel(\"FC Power [kW]\")\n", + " ax[1].legend()\n", + "\n", + " ax[2].set_prop_cycle(get_paired_cycler())\n", + " ax[2].plot(\n", + " df[\"cyc.time_seconds\"],\n", + " df[\"veh.history.speed_ach_meters_per_second\"],\n", + " label=\"f3\",\n", + " )\n", + " ax[2].plot(\n", + " df_ss[\"cyc.time_seconds\"],\n", + " df_ss[\"veh.history.speed_ach_meters_per_second\"],\n", + " label=\"f3 (ss)\",\n", + " )\n", + " ax[2].legend()\n", + " ax[2].set_xlabel(\"Time [s]\")\n", + " ax[2].set_ylabel(\"Ach Speed [m/s]\")\n", + " x_min, x_max = ax[2].get_xlim()[0], ax[2].get_xlim()[1]\n", + " x_max = (x_max - x_min) * 1.15\n", + " ax[2].set_xlim([x_min, x_max])\n", + "\n", + " if is_hev:\n", + " ax[3].set_prop_cycle(get_uni_cycler())\n", + " ax[3].plot(\n", + " df_ss[\"cyc.time_seconds\"],\n", + " df_ss[\"veh.pt_type.HEV.res.history.soc\"],\n", + " label=\"soc\",\n", + " )\n", + " ax[3].legend()\n", + " ax[3].set_xlabel(\"Time [s]\")\n", + " ax[3].set_ylabel(\"SOC\")\n", + " x_min, x_max = ax[3].get_xlim()[0], ax[3].get_xlim()[1]\n", + " x_max = (x_max - x_min) * 1.15\n", + " ax[3].set_xlim([x_min, x_max])\n", + "\n", + " plt.tight_layout()\n", + " if SAVE_FIGS:\n", + " plt.savefig(Path(\"./plots/fc_pwr.svg\"))\n", + " if SHOW_PLOTS:\n", + " plt.show()\n", + "\n", + " return fig, ax" + ] + }, + { + "cell_type": "markdown", + "id": "cell-14", + "metadata": {}, + "source": [ + "Fuel converter shaft power, fuel power, and achieved speed for the\n", + "baseline and stop/start runs. During stops, the stop/start run's fuel\n", + "power drops to zero while the baseline continues to use idle fuel." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "cell-15", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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bN4/Pw2bXMeeeey5effVVHHfccTzY/vDDD1FQUNCiFl2EEEIIIYSQzk+WWdZqKWy26rAsv7hY5ME76RgsljgkJKQ0udd1hw2wmaeeegr3338/H6GOiYnhHwY2on300Ufz288//3zs2bOHj1iz29nc61deeYUXRCOEEEIIIYSQ2rzBdVxcMoxGkyaBVe1RbBq9jnwstnQ6HaiuLuOXExNbNs04kCCzpXYADocDZWVlPHDW6XR1brdaraiqquKVxVvzAWHpO6WlNYiUBvVlZTWUIt5eZAkJv18DyZyC6iOeAITwV3Sn7R59aJtHJ9ru0Ym2e3Si7R55JMmDwsIDPLiOi0sI23anaZ4dR3V1JQ+yMzK6h0wXT0mJ7RxzsGu33mL9revDRq/ZP0K0Ilbsg2n3b/y8s/sUOPudRC8uIYQQQkgH5/F4+CkbuSYk8L3A5uOLohGtQU2WCanvw+HyZzJs27aBXidCCCGEkE5E67Rw0nFp+V6gAJuQeuQUFvvOb7WModeJEEIIIYREHJfLhd27dyI/P893XUVFOfbu3QO3u3UV0vfv34uCgoOar19n1mFSxAlpa9XVFfx0g9QLB2MH0QYghBBCCCERhQW/M2dezkdgBwwYiEceeQpPPPEwFi/+F8nJKaipqcFdd92HyZOntGj5TzzxCAYNGoKbb75dk/W7/vpb8NNP3+O6625GZ0UBNiH1kBxKirgVZnSMUoCEEEIIISSaLF68kPfb/vnnv6DX6/Hmm69h164d+OabnxEfH4+vv/4C999/F7766gekpqa1+/q99dbrWL16FTozShEnpB55lgF4yz0dm6WeiHfk0+tECCGEEEIixsGD+cjJ2c8LPe/cud2XFn7RRZfx4Jo57bQz4XQ6sXbt6gZTuFkqeGlpSb33YY2n8vJy603zrqysxK5dO/k61bd+e/bsQklJMRwOO7Zu3cyftzOiEWxC6lGgy0IqbLhAPw//lnQDMJ5eK0IIIYSQTszmUiqMhyIKAkx6sUn3Ncgy9AGFsxq6L7uX2VC3DXFjfv/9FyxYMA/l5WV45pkncPnlV+OJJ56tk6LNguPExKSQy5g//288++wTPJ2cjTSzVO4HHngUw4eP9N2HjYjPmHE2v40F2EOGDMMzz7wEs9mMjRvX49FHH+BBfGxsLHJzDyA7uxteeml2nfVjy1y2bAlqaqr55aeeegFpaW0/qh5uFGATUg/2RSjzrzxCCCGEEBINpr68uN7bJvdOwYtnDPNdPvb1pbC7pZD3HdM9EW+c4w9ST3l7BcptoUdsB3eJw0czRjd7XS+99EreXuqHH77Fu+9+HHQbG81ev34d3n33LUycOBljxoyt83hJkvD004/z+dXHHz+dX/fuu2/i119/Dgqwt2zZjNmz30W/fv15AH3xxefi999/xmmnnYWvvvocJ510KmbMuNQ3an3xxefhl19+DLl+bDR7+fKldda3M6EAm5B6xFTuwkRxEz9vpMkUhBBCCCGkg1i5cjnmzv0LZWWlGDRoMGw2K2Jj44Luw0a2WU/wlSuX8YCajTxfccU1dZY1adJhPLhm2H369u2PnJwcfvnhh58Ium9iYhIyMrrw4mrRigJsQuoxpngO+ohKW4LhWfGw0itFCCGEENKp/XvT5AZTxAP9ed3Eeu9rCEglZ368aly99w1HvuTRRx/H/1VXV+Oqqy7Giy8+i3vueTDoPjqdDo899hSefPJRnHvuaejWrQcmTz4MF154CVJSUn33Y+njgYxGI1wuJz/Plj9nzjdYt24NDhzIQWlpKW8NxoL3aEUBNiH1OCRDD5R6L0XvlwQhhBBCSLSwNGMudEP31etFuAPSx5uz3JZigS0rJtajRy+eis3ExcVhypQjMH/+3JCPGTt2Ar755if+OJa6/fPPP+Cff+bhs8++hclk4vdhc69DYUH0zTdfC7fbhbPOOg/9+w9E7959cM01lyGaUeIrIfUQpIB5MlF8FI4QQgghhEQ+URRx2203Ys6cb4OuZ9W7u3TpUuf+VquVV/Nmc7FZcMzmUd955z28MBqr9t0YNh9727YtuOGGW3HyyafxVHSr1YqcnH18mfWtY2dHI9iE1Ef2V3vcVlCJ7vRKEUIIIYSQCMWCVzaHmvXCZhW9u3fvwUeu16xZhRdffL3O/dnI9J133orJk6fi2GOP5/OxP/74AwwaNARZWV0bfb60tHQkJSXhm2++gMFg4OnhH374Dr/Nag09BzshIYEH8Gze98CBg5GQkIjOhgJsQuqxr7gaAwHkyyn4zzSGAmxCCCGEEBJRUlNT0adPP9/lM888B126ZPIq33/99Tt69+6Ljz/+Cl27Ztd5rMVi4dXBv/zyU7z33ls85ZsVOzv//It8aeE9e/aqM/rdo0dPZGZm8TZdL744G5988gHefns2v27mzBt5v2xWwTzU+rGK41u3buHPd9ttd3XKAFuQo3kGeggej4TS0vavesfmbSQnx6KsrCZo/gZpO3vfOw9jbYtwr+sy6MZcjhum9A77c9J2jz60zaMTbffoRNs9OtF2jzysQFdJST5SU7NgMBjD8hy152CTjv2eSEmJhU7XtPT2zp8ET0gLibLypShBpCnYhBBCCCGEkEZRijgh9fgn5lisrU6ECzqkuAoAhH8EmxBCCCGEENJx0Qg2IfVYbRrPR6+fMbyF8cXB1RgJIYQQQgghpDYKsAmphyQHdr+mUgWEEEIIIYSQhlGATUg9sp17MErcyc/rlUKKhBBCCCGEEFIvCrAJqcelVW9gnLiNnx/ZNYFeJ0IIIYQQQkiDKMAmpB4D0iwBlyhFnBBCCCGEENIwCrAJqffDEdC7UG3ZRQghhBBCCCH1oQCbkPpIHt/ZHYVV9DoRQgghhBBCGkQBNiH1KKyy8dONUi+sNoym14kQQgghhEQch8OBHTu2ITf3gO+60tIS7Nq1E06ns1XL3rNnNw4ezNd8/RpTWVnZrPs3ZPfuXbDb7WgrFGATUg+rXflCetZ9NrbETqDXiRBCCCGERBQW/J5zzqm4++478NprL/GA+oEH7sYFF5yF+++/C2eccSIWLvynxct/+unH8OWXn2m2fvv378Urr7zQ6OMeffR+7Nu3F1pYuXIZZs9+GW1F32bPREgHnYMtQYQsU5EzQgghhBASWZYsWcSD6m+//Rl6vR5vvPEq9u3bh2+//QmxsXH47ruv8cAD9+Crr35AWlpau6/fW2+9jnXr1jT4mL///gNWqxWTJh2myTqcccY5uOCCM3HMMSdg2LDhCDcawSakHnMMJ+J993HQw4M4dwm9ToQQQgghJGKwFGo2ImyxWLB16xaUlZUhJ2cfLrroMh5cMyeffBpcLifWrl3VYAo3S6MuKiqs9z6SJCEnZz8OHMgJeTt77u3bt/J18g5M1V6/nTt3oLi4CHa7DRs3bgiZvs4e+8EH7+D0089q1jo2dLvBYMAJJ5yEjz56F22BRrAJqcfP+mNwinwQ7xmfxZLiUwBQmjghhBBCSKfmstZ/myACenPT7gsdAFMTlysA+sD2sE0zb95fWLhwAcrLy/Dyy8/h0kuvxGOPPRN0n/z8PB60JienhFzG3Ll/4tlnn0RGRgasVhvcbhcefPAxjBw5ynefnTu348ILz4LRaEReXi769x+I5557hQfO//23Do8++gC/X2xsLPbv34fMzEy8/PKbddaPjR6vXLkc1dVV/PLjjz9bZ1Sd3c7WeeLEw5q8jk35G6ZNOxbvv/82D/qzs7shnCjAJqQekiRDhqBeohRxQgghhJDOLv2tAfXe5uh5FCpP+sh3Oe29kRDcSlHc2lzZE1F+2te+y6kfTYBoLw1934yRKD/7l2avKxup1un0+OGHb/HWWx/UGVH+7781eO+9t3DYYVMxevShIUeln3nmCdx225049tgT+HVs9Pivv34PCk63bduKN954D3369OVzqmfMOBu///4LH2X+/vuvccYZZ+P882fw+xYUHMRFF52LX3/9ERdffHmd9TObLVi+fGmd9fVavnwJBg8eipiYmCatY1P/hp49eyEtLR0rViyrMzquNQqwCalHD89+DBCVNBjRG2cTQgghhBAS4dasWYX58/9GVVUVEhIS+ZzmuDglbdyLjWzLssTnSQ8aNAQ9evTko+C1sbnQLLhmMjOz0KdPP1+qOBspDhQXF6eOJDc0ul+/nTt38vVo6jo29W9g2G1sND7cKMAmpB5POR9DV50yj2Nk13hU0ytFCCGEENKpFV29veEU8QDFl/9X7131BpYi7ldy8bIGlqv9SM60acfwf1ZrDa666hK8+OIzuPfeh4Luo9PpeEr5U089xouAZWVlY/LkwzBjxmVBqdtJSclBj2Op4mxet7edFhvFZoXLWNBdUVEBj8fd4gLBLJ180KDBTV7Hpv4N3uC/oqIc4UYBNiH1yIjVAzXK+bU55UiocqBLfMBcGkIIIYQQ0rkYYrS5r14E3FLLlttCbrebFxPr06cPYmJi+XXsdPLkqZg/f27Ixxx66Dh8/fUP2L17J5YvX4Yff/wO//77Dz7//DuYTMp+r1DPAQAWRN9yy7V8WuU555zP52b36tUbV155cYv/Bjav2+GwN2sdm/I3MHa7A8nJwQcLwoGqiBNSDwEe3/nq8gI8/PM6eq0IIYQQQkhEEkURd911K77//pug63ft2skLj9XGRrdZNW+Px8PTvtk86jvvvAeFhQUoKSlu9PlYwbDt27fh+utvxoknnoz+/QfwAmas2jibG13fOjaEzZMuKSlp8jo2528oLS1GenoGwq1DjWC7XC489NBDOPnkkzF+/Hjf9QcOHMAXX3yBgoICDBs2DOeffz5PXSCkNYSAL4ZjdauxqfgrHNgqoOuAMRDF4LQfQgghhBBC2hMLXq+8ciZee+0lWCwx6N69B5+HzYqdvfji7Dr3FwQR99zzfxg/fiIvEMaC1E8++YAXGcvK6tro86Wnp/P08a+++ow/d2lpCT788D2IooCamtCTK9l8cFYIbenSxRg6dBi/HGjUqDH47LOPmryOdru9SX8Du9+ePbtx3XU3I9w61Aj2K6+8gq+//hq5ubm+6/bu3YszzjgD5eXlGDNmDL755htcddVVLc77J8TLWqs3363ilxg19wxs+yG4mAMhhBBCCCHtgY34stRsr9NOOwuPPPIUD6o/+eRDGI0mfPLJ17xFVqh07Nmz3+U9s1lQygLbQw4Zjeeff9WXFt67dx9kZWUFPa5XL3ZdNkwmM15+eTYPkj/88F3eYuumm27D9dffApvNFnL9TjrpVEycOBmffvohCgvr9qxmFc9Zr2zWP7sp69iUv8Fb9I21EWMBfLgJcgeJRFetWoXrrruOV6R7+OGHeVDN3H777byx+Kuvvsovl5aWYtq0aXj22Wf5aXN5PBJKS9WJt+1IrxeRnByLsrIauAPnb5A2Y3xtIBK9k7ADvCWdgtNvfD0sz0nbPTKVF+dC+uYiFPQ5B4OPnanpsmmbRyfa7tGJtnt0ou0eeViBrpKSfKSmZsFgMIZtu9M+fMs8/PB9PDC/7rqboJVZs/4PAwYMrLfCeGPviZSUWOh0YucZwa6ursadd96JWbNmwWAw+K5nxwb+/fdfHHnkkb7rUlJS+Ej2P//8005rSzoLUQ59YMMJmn4QbYp/fQADPdsxdcej7b0qhBBCCCGd2hVXXMP7WLMK5VrYt28vtm7djLPOOg9toUME2I888giGDx+O0047Lej64uJi/sL36NEj6Ppu3bph9+7dbbyWpLP5QD4JH7mPqXN91wSqJB5tyuT49l4FQgghhJCokJ3dDZdffjUWLtRmwHTevL/wf/83q04f8KgtcvbHH39gyZIl+Omnn0KObDMxMcFl71kufk1NTatSOtqbNwWhqakIRHuvSWfiQrnu+26CbkvY3iO03SNTrr47P53nOQSjNN72tM2jE2336ETbPTrRdo88kqR93+lA3qm/7LRjTMaNPCefHDyw2hqXXXZVk++r0wmt3s+P6ACbVQV/4IEH8NxzzyEpKaneMu+1y8Czy4Gp5M3Bqt6xuc+RIiHB0t6rELUk/oVY9ws4zbEPxjC/R2i7R5ZYo/Lr6II+bN8PtM2jE2336ETbPTrRdo8cdrsOxcWiJsFUQ2igrGMddGGxZWJiDMxmc+cNsN9++21eav3LL7/k/xhW0OzTTz/Ftm3bcMMNN/Draufns8uJicEl35uKNUqvrLSivbEPJPsirqy08cJrpO11l3PRXaxb3ZC16GLF58KBtntkOrGPBSgEpnSF5tuetnl0ou0enWi7Ryfa7pHH6XTwATmPRw5LITI2cs22O9uHpxHsjoG9F9h7oqLCCpvNU+d2Fpc19YBJRAfYbM71oYceGnQdK142cuRITJ06FfHx8cjOzsaOHTswefJk333Y5UmTJrX4eSOp4h/7YEbS+kSTucbbQ15f4wzPl3Eg2u6RJTFnAT+NKViFmjBte9rm0Ym2e3Si7R6daLtHVjDFhKuZknexFFx3HN73ghYHXSJ6gu+wYcNw/PHHB/3T6XT8em9Afcopp+CLL75ARUUFv7xo0SJs2rQJp556ajuvPenQ6qkgzsxPv7hNV4W0P1e3lh+wI4QQQkhkYfGEdySbkMD3gk7X+vHniB7Bboqrr74aq1evxvTp09G7d29s3LgR99xzD/r27dveq0Y6Mik4NeQvzxikC+U4RNyFZUV6+PMlSDT4qSgDrLHDRrkPurT3yhBCCCGkVdh0P4slDtXVZfyy0WiC4K1MpuGcXu9IOYnskWsWXLP3AntPeGt8RVWA/cwzz2Dw4MG+y6yC+EcffYQNGzagrKwMgwYNQpcutAtMWkkODrCP0a32nZcE5agniR6bC5SOBXIDmQ2EEEII6TgSElL4qTfI1hoL1GoXYiaRiwXX3vdE1AXYRx99dJ3r2BGnESNGtMv6kM7J5XLXe9tEaU2brgtpfxmeAn7aTShG/e8MQgghhHQULH5ITExFfHwyPB5tf91ZdXJWjZoVzKJR7MjH0sK1GLnusAE2IW3B6XbVe5tJqP820jmd4PydnyYL1Shq75UhhBBCiGZYYCWKRk1fUdb6i7V6YtWoqVhx9InoImeEtBe51hzsQG5o+yVMIp+u1pQBQgghhBBCQqEAm5AQPDDgPffx+Mx9ZJ3bMuIo8SPalAqJ/NQt01cmIYQQQgipH+0tEhKCW2/Bw+6LsUHuU+e2AWalJRyJHgeETH76gvss3PzdBthcNKJNCCGEEELqogCbkBAktdm8jLotG0yucnrNooxRLW3mhg5L9pRh0e7S9l4lQgghhBASgSjXlZAQPG4XuqAUqaisc5tOR226os3EbjHAPuASw1/QQUK2lAQgvb1XixBCCCGERBgKsAkJQVdzEMvNN4R8bXIrnEigVy2qxBeu5KddUYw7DV9ie14GMJhaAxJCCCGEkGCUIk5ICGmW+j8a36VcTa9ZlLEPOD3osuyobrd1IYQQQgghkYsCbEJC0DfwydjmTG3SazZvRzHmbqeuyZ3BZ1Ujgy4XVtnbbV0IIYQQQkgUpIgvWbIEVqu1RY+dNGkSYmJitFoVQlqvgT7YstD4HGynW8L9P65DImowZuaxSIq10FbpwObtKMGVNPWeEEIIIYS0VYD9wAMPYP/+/S167J9//omePXtqtSqEtFq51Y6Uem4b51wOYEqDj3dLMtaZroZFcGJt0d9Iih1EW6UD64G89l4FQgghhBASbUXOZs+ejaysrGY95tprr9VyFQjRRIXVwU8L5SRkCMFtuUY7VjT6eI8koxxxsKAUrpqy8G8VZw1gjA3/80SpR8S3gy6b9XXbtxFCCCGEEKJZgM1aF/Xr1w89evRo1uPMZjMEgXZWSWSRJaXvsSdUmYImvF0lZxWyBKVXsrumBOGky1uJlO9PR83QS2A94rGwPle0MgjBUwZijZQvTgghhBBCwljkbObMmXA6nc1+3O+//97soJyQcHMYkvC5+0j84hlf57YUS+PHpYySvwjW0CQlWA8Xx/zH+Wnspg/D+jzRrFIOrhGRlzKp3daFEEIIIYREwQj2a6+9xudgZ2Zm4rDDDsOUKVN48bKEBOoYTDoem6Ur7nZfhVPEJXVu65ZoQmUjj481+Ie5RUcFwulgynhkla/EQTETNK4aptdYTkaCYMX5znuwVBqKB5IGILiuOCGEEEIIIRoG2G+88QaWLVuGFStWYP78+fjmm2942viIESN8Affw4cMhitQZjEQ+SZb5qfJ/LbLUhAX4U4pFe3jnYDuNSfx0v74Xeof1maKXHsr2dMk63xx7QgghhBBCwhZg9+3bl/+78MIL+eWdO3fyYJv9++KLL/DKK68gKSmJj2qzgPukk06CyWTS6ukJ0ZTkcSIB1TALdac9yFLjAbbk8aeF787LR2YYt8+2gkqwRPYSm4cC7DDJjhMBK3CCYQ2GefZitDkeQPMKOhJCCCGEkM5P0yrigVjBM/bvggsu4Jc3bNiAzz//HL/99ht+/fVXHHroodSai0SsxOK1WG++OuRtWwsqkd3I4wsqrEhXz2+Q+oQ1wE62H+CnJ+hWoiiMzxPNTFalTdcV4s+8csWB/Rag/6j2Xi1CCCGEEBItATYreLZy5UosWrQIy5cvx5YtWyDLMoYMGcLTxVNTU8P11IS0Wq/k0NkVr7pPxa7UEzGriVXIy+Q4rE2YhmPCuE16ePaEcemEsQ88C+Zt3/heDIm1RSOEEEIIISScAXZ+fj4WLFjA/7H52FarFenp6Zg8eTIuu+wyfpqSkqLlUxISFiZd6Dm2q6SBqNF1b/TxHo+/zZd3Pne4rDJNwkjnWkgytbsTbKWQzcmAxq3/ZrtOwq3wB9g5ZVYM0PQZCCGEEEJIZ6BZgH3FFVfw0WqDwYAxY8bguuuu4yPVgwYN0uopCGkzQkCRskAsYGaZGI2pie+Lkfa3YIYTU93+ll3hUB3THagCtso9fGnp0ci0/Xsk/HUjasbcBOuEOzVd9i9bCnErlYwghBBCCCFtFWCzFl2xsbG4/PLLcdxxx6F///5aLZqQNldYZUNiiOsv0/2OtXZW5KzhJk0eCLhANw//M3yBZYXHA3gnbOvaNSkGKAASzdFdod84T0ncj139suYBdl8hP+gy1RAnhBBCCCGhaLZHfs899+D444/Hl19+ySuEH3744fw6VtSsoiK8fYAJ0VphpZWfrpaCDxQdpVuHE2w/N/p4SZJ5kM3JoUfDtZJi3c1Ps53RPRfbI4SnCzirGv+m8YWg6wzRfSyDEEIIIYSEewT7iCOO4P+YzZs3++Zif//99/w6bz9s9o/1w2Y9sgmJWGqKOEsJr01owviloXIvZhk+V+7flL7ZrdCvanlYl99ReMJUs9ETYrqAWU8RNiGEEEIIqSsse4msUvi1117L+18vXboUzzzzDHr37o05c+bg3HPPxcSJE3Hw4MFwPDUhmqg2ZWKOZxIWeYbXuS3O2PjHJlUu850fmhkT1q0SZwpbM4AOZZ3Uh59ukHppulyPq24v9G3JR2r6HIQQQgghpHMI+545G6lOSEhAdnY2SktLUVJSgurqarjdSpVlQiJRUfxQ3Ou6AUeKa+vclhlnQHkjj8+MN/jO68M8Y9cW3wsoWIjt6IVkRK+HjHegqLwCLujwr4bLdbv9AfZA+wdwwIgb4ntr+AyEEEIIIaSz0DzALigowOrVq7FmzRp+unXrVkiShJ49e2LSpEl4+umnMWHCBMTHx2v91IRoxtNgpfAmBMwBacVCmOdgS/pYfrpOGIxoHleVdUZUQnkttOQJCLBd6ldmkoWyBgghhBBCSF2a7SU+8cQTmDt3LnJycvjlpKQkHkiff/75PLDu1q2bVk9FSNjJkht6uEPPt27CnGpvH2wmr7wGcQifbQWV6MHS2l3RXds6XrDhCHGdegBkqmbLjdMp21uGgLH6negp5+KIeLZFszR7DkIIIYQQ0jloFmAvXrwYXbt2xdlnn80D6qFDh0IUqRAQ6Zj65P+MneZHQhY521dSHbKFV6Bt+eWYpJ5f5u6PoxE+Oocy3/t03SJE88SLm8WvcZTxO36+CDdrtly9oATY7GDLl/oH+fmS3S5IvUZr9hyEEEIIIaRz0CzAZtXCDQb/vNPGsLRxCsBJpBqQZgG2A4KoY29W3/UPuC5BccIwKGFW/WQ1LXyN1A8/x54d1gA72VOqnArVKEL0Gm/aG5blyoYY2PudAvPOH33XSS57WJ6LEEIIIYR0bJoNMQcG1/PmzWtwjvbMmTN9qeSERKJYg9LDWhCDj0EtlIZjixjcGzsUWU0RZyPgDc/nbr1/Y44J6/I7CkHn/w6SQrTWaqlyOQ5vmS4Pum5HUY1myyeEEEIIIZ1HWHK4n3zySXz66ad1rv/2229x0kkn8XRys9kcjqcmRBvqCLQkBPdrd0OHpsTLB1IPw1j7a7jGeRtkT3iLnOVblIDfKpsQzcSAANvj0G6EubDagU9W59a6NrrnuxNCCCGEkDYMsFkQ/cgjj+Czzz7jl/Py8nDFFVdg1qxZGDhwIH744Qd06dIlHE9NiCYKK6z8tExICrr+fN08HOVa0OjjXYIR48WtWGOeifvK7w7rVkmwKAerjGJ0B307Sxy+80ZoF2B7XA50FUqCrwxzVgIhhBBCCOmYwtJr5qabboLL5cLDDz+MjRs34vfff+f9sNnlc845B4KgpN82VWVlJf766y+UlZVh3LhxGDFiRNDtdrsdf/zxB08/Hz58OCZOnKjxX0SizYFyK/oCWOnsiRNwwHf9tfqfkONm1aNvb/DxkixDgppm3oSq462Rad/BT/Wyv51UNJIkl++84LZrNsZsKd2MOab7g64Tm/cVRgghhBBCokTYmrnefvvtvJDZO++8g379+uH9999HRkZGs5ezb98+XHDBBRg5ciSvUn755ZdjxowZuOWWW/jtpaWlvBVYSkoKhgwZwp/nmGOO4cE8Ia1NEZdZinitSC1k665aksvX4z7DJ02+f2tMqPwjrMvvKMTAedcajjBLHn/g7qWnBgmEEEIIISScAfaSJUtgtSpptV6jRo3CsGHDsGnTJj7/un9/f3Eo1sorJiam0eU+9thjmDJlCp/XzRxxxBE83fz0009Hz5498dprr/Hg+pNPPuGj5CzYPu2003DqqadizJgxWv15JMqUG7Pxl2cMthv74kTPv0G3mXWNh8y9PPuQJSjVvXslmxDOklg9ki1AlXLe4/Hwz0E00qlNyv71DEeyw4RMjZYruf2p516rE49HT42WTwghhBBCOg/NAuwHHngA+/fvr/f2F198Mejyn3/+yQPkxrAg+cgjj/RdZiPZzI4dO/jjWWr4tdde6wsq2Gg5C+xZWjoF2KSltiVNxeuuHjjRsoeVAg+SbNFBCZ3r1zvZX8TPoPZRDhfZYPG1BMuUZURneA08EHMf9hWWogKx+NwQp9lyZXUEe6PUCyc5H+fnz4vJ1mz5hBBCCCGk89AswH7jjTfgdDZ9DmhWFpvH2rhrrrkm6DKrQM76Z7NiaSw9vKioCH369Am6T69evbB9+/YmrwshoeZQM7pQY9VNmVMtu5t3/9ZQW4n94RmLGbKApnej71zK5VgUhGG53gCbVZD36p2iHNQghBBCCCEkLAG2xWJBjx49gvphNwWrMJ6ent7o49asWYOvv/4av/32Gx566CF0794de/fu5bfFxQWPVrHLrDBaS+kjYIKlTicGnZK2plSx0unqVrNiRcsae4/oAkaty2vsTX5PtWS77ymuxgi157aoEyLi/dseWL/xccIWGAQ3dPJw6PWxmiy3T7LS/qx7agL6HzyAQcJ+nNElHnp9N02WT5/16ETbPTrRdo9OtN2jD23z6KZZgH3JJZfwgmZNSftuyeNYwbTRo0ejvLwcb775Jk//ZiPZTO2q5LIsN7tSuZcoCkhO1mbHXAsJCTRSppU1v72PxG6D0Xf4hEbve3jBe7jd9D4Oyv3q3FZmdSC1kffIsrxyeJ9lqXsATmnme6o5232XS8kcOVW3GPGxOiTERc77ty3dZpyD6aYP+Pkc4QQkJ/fQZsHJRn6SWrYWf5nW8vPuneXQD58KLdFnPTrRdo9OtN2jE2336EPbPDppWkV84cKF2LJlS7MeY7PZmnS/Qw89lP8766yzeCGzZ599lhdAY6qrq4PuW1NTg4SEBLSEJMmorAwu1tZeR77Yh7Ky0gaPJ8wpxlFg93//YMzyW4DlQFm3vEbv3yfZAMMBD1JiDAhsqXyt82YIpng8VtZw2TKXQwl6v/VMwauGqzClkfu3artLSjr6cHEv9hUWweOKzh5Sx7vn+s5XVdpR1sTXvDE6XSZMA0+Hadv3vuvsNjtcmi2fPuvRiLZ7dKLtHp1ou0cf2uadD9s/b2qGqaYB9iOPPKLl4njgzNpunXnmmbxFF8NGpgcPHoxVq1bx6uGpqam8ldeECf5RyT179vCWXS3ldkdOQMuCrEhan44qp8wKb035prye8QYlSDXWmrrwhzQWCTA1ugzZowS9blkHjyQ3exs2Z7vPjTsVh1oX8vMupzMi3y+FVQ7M3VGMk4d2QZwpTN0BA9ppsWrqWr0OO8V++C/lZlwJf4C9Ma8CfTV+nemzHp1ou0cn2u7RibZ79KFtHp0029N97733mlXkLJA3eK6NzaX+/vvv+Xzqe+65xzc6zUbKJ0+ezC+zntdz5szBGWecwedx79y5E+vWrfP1ySaEcegT+Wml3HhrOE7tqeyUxKCiYRLrat2EHsur007DvbsHwiabYNKwJ3MoW00j4JEF6AQZYph7brfUw39sw/J95Si3OnHtYb3D8hyCOpLPGDUspb46pxwvzd+NK/2F4QkhhBBCCAlvgM2KjoUD6399/fXX4+DBg8jOzsbff/+NjIwM3Hbbbfz2G264Aeeeey4uvPBCDB8+nBdBY2nkLJ2cEK+0hHh+ahLcqNvVuK6iKhvvc1zojkFgOHi6uAgGmYXckxp8vE2MRyJq8Ifpfyi0pwFYEbaNwaY1sArXrA90oklA5I1fAxOFDeij247e0lGsBndYnqPaZod3Ykh6rLF2d7WWc9qQVKuTeeOd0AkhhBBCSDQKU66mdsaNG8d7Ws+fP5+PZD/44IN89NpbxIxVIP/xxx/5fcrKyvDcc89h4sSJ7b3aJMLo7UX81AQnq4LH5ho0eP+c0hoeYK9zZAWFgy8YZ6NKtsCOOxt8vFsdtbYITuU5w6inYys/cBA48h5pzix5E90Nu7G2mAWqh4flOXSsNZpvs2oXAA8++C2Wml8OvjLMWQmEEEIIIaRjivgAm2HzrNmodH1YKnlDtxOSYtvnfxFYKrGu4bZwgqwEqrLgzzXeEDsJw2uWNCkNu0/5Uhyu/4qfF8M8pnxW9Sf+C+p6R5rurt38dEDx3whXCUF94Ji1hr3HA1PPfddFZJ4AIYQQQghpb9HZMJdEnW7J/rnXDkfjlesLjd2x0DMMRQZ/fQDz1Nv5KZvr3JgR7vU4XLeen082h/djNijD/7cVVLR/BfyG1LjCN/JrgBIIv+mejl12ZUqAJiR/8TSv+XGnaLd8QgghhBDSaXSIEWxCWksQ/SPRDg9LFW/YgsTTMWf/RFxoLPddZ9Ir/ZBNOqCqkcf3SzECB5TzunCPdkrK8ud6RiHRmIpI5oEQli8dVqn9cOfzMMCDfXIXfGhI1mzZglqd/CP3MXjIfTHPYDjclKnZ8gkhhBBCSOcRlqG1P//8k7fOIiRSeNO0F3hGwCk0Fl77p9iygM13nSg2ef5tUFpxuNO21eX/4JkMly4OkYzVOQ8HtyQjR+6C3XJXeKCDrGURMnUE28WT0HX8dFiWt5waIYSQSFBZmo+t896Hwx7ZmVyEkM4vLHu7b7zxBjZu3BiORRPSIlvySvmpE3o4PY0HXx41iBYDiqEJejUwZ8W0GguyJX9hM5er7hxeLeWWKTsTHoi+9Y5UciPF5VrKrY7iDxX2YrSwHYI7uOp3a/RNUbb7uN7pyEYRjtOtxiXdCjVbPiGEEA18eQ6mbLkPe7+fRS8nIaTzpYjHxsYiMVHpO0xIJHA4lOZc6UIFXE47m1Hd4P3PLXwOj5v+wQ7X0fxyoZwEm1lJCxZkCTZrFSyx9Y9irs8pxXj1/DLPAAxB+NjU/vPH6FZBsJexsn+IVGaDITwJ804rnoz/Cue55vCLqyuGANnapHEnqcdVhud8hMXmj/h5x+r1qJz+vibLJ4QQ0np9pT38dEjpn9q1aSSEkEgJsM8880zccsstOO+889C3b19eBby2sWPHwmKxhOPpCak3zfcQcRfWle8C0sc0+CoNSpSQUGVFtyQLUKr0PTaaY/E/90yUSjG4ySnDElv/4wV1BPth10X4VJiOReHcJuqo9Wm6JVhdtZfV7EakkCUJgihiv2UIetg2IydmCLLD8Dxxgt0XXKtPrNmy3RkjYR9wBszbvwvL8gkhhGhHL7spwCaEdL4A+7XXXkNVVRXefvvtBudp9+zJOg0TEn7bEqdgKl7g5z0uZTS7IQl65fh3TIw3ipYhiiLmmo5GcY0Tlzh1aGh8VFTnYLug4wW4wul782kYUrOFn5c84U1Hbw6WKWB99xiUWHpjY5drkL9jBTKTJ4QlwBbqVPrW7jVfnXAM8ntMxQUBAfaWgxVh+TsIIYS0jlFwo/FfeUII6YABtjcltz5ZWVnheGpCQiozZGK3lIk+4kFILpYi3jDBo7x/HW4PWMOndKESBzx2JJj1PMAut9dt3RTo04SrcW/5dJ5aLjWhrVdrLNJPxC4pC33FfBjFyJmDvXf1L5gk7UG/mj04t+RKANMxXcjAqeF4sloBtlxVoNmiv1mXh182F+KCgFkFbJoAIYSQyLG46xXofuBHrMo4G1Pae2UIIVEtLAH2gAED+GllZSVWrFiBgoICnHLKKcjNzcWgQYPC8ZSENFpl2gkDP98vxdsxuX6V1dVIA1DsMvJTRqcTcah+N4aJuyCVxAA9D6338QViGgrkGvxt+j/e1sklbeap0uHKEGcFzpieSSY0HPq3HdlW4Tt/cfJGVFSU46TeZ4fluQrKqxE4EeXQ1bdg18CpSEjOaP3CXXaY4C9ax1CATQghkaXHSffDLd2HSQZ/W05CCOlUfbA///xzPP3007BalQrHhx12GG688UY+cv3qq68iIYHa3JC2k1G1CYPEHH5e9AQHS6GUVCoB9m6pK7yHhPQ6Eec4vsWhxsVYUMBSx+sPsN0e1ihKQKqgdMzOlyTowxRg93NvwwAxt21agjVD7zj/YYw7bS8izmjFhmKWWN9f8+dyOetmzBTtXo2EMSe0etmXFT+J18zBs+jZnHxCCCGRw0yBNSEkQoRlj3/BggV49NFHce655+Ljjz9G165d+fWzZs1CXl4eHn/88XA8LSH1Gln9b8gWWvXRy8p9RL0x4FoRTqNSHV+p1l2/qdY/cJ3+R/9ThnFu9O32V/0XpMgJsO3ph/jOx0E50NZz72dheS7JU3fcnvWr1oLI2rLVIoSnFjohhJAW+vyLt/DNm7Ow47+A33tCCOksI9iffvopbr/9dlx++eXKk+iVpznyyCPRr18/TJ8+nQfg3usJCbehGRYgXzm/r7AcWX0avv9OoRcqJD1cRn+mBRuR1semApVAEqobfPxJnr/RS7/Jd1kvhi8g655oBNR4f0dhJXpFSO1AZ1J/3O+6hJWHwyMGpaVVcY2bz2nXmsddN8DumpIYtgD7R/NpuEqTpRNCCNHCTSUPK2cWfYSikQfoRSWEdK4R7AMHDmDy5Mkhb+vevTtPDy8uLg7HU0c91hapoiQv6l+HhqpM75XSG319HtTdiDOcD6NG9IeDsiBgSC+lBdaA+IZHwbPjgueAiWorrbBQC2596zkMhea+iBR/7K7BR57j8LHnGN917jC9DOVx/XGc40kc43iaF3xjdGqhutbyVoS/1Xkthtvf4f+WG7xdzgkhhBBCCAlzgM36Xq9evbre4Lu8vByJidqMLpFg2766A/2+GIet85QRQ6JSU4ifc52FRbZejb4sDrcStJoE/+ilwGbempOV8/byZrWNEkKMgmpGnXf9mXsaqs0NNQ9rW7q8VTheXIHbRvkPNkgIT/EZp2jCNrkHdsjdkCEo20bnsWmybJ267ViRvCrE8H/Du1INCUIIIYQQ0kYBNksBf+aZZ3ihM9YP22vr1q280BkreGaxWMLx1FFvSslX/DUYuuWZqH8tAm07qORQu6HHypyGg2PG5VGGWnU6f0DIqoBL5iR+XmxkDjbUUU8vmz18XTnLrU5fCrsU5p7bzTGh+Eu8YXwR0w/654izdQwH7/bqJeQjXlAC69JqZd53a2Wp2Qgnj8hGEqpwvGUrbh/Y+HuIEEIIIYREn7BMgj7nnHP4CPaDDz7I/wmCgNNPPx01NTXo0aMHXn/99XA8LSH1cjiUIDRDKEO8LbfBCuDMn5gJmIC9luf45RrZxE/3Wk0YCeBgUQEC2iIHEWsOwl223/fhWiP1Q4zTXe/9W0OSPDC6lINYE8QtMNomsq7diASpDmUOXN+yhb7rjIbw1F1Isu7BvbE/4ErPl77rdhgGQymv2Drxap2747f+D8ezjSgDroUjUX72LxosnRBCCCGEdCZh2dsVRZGPYLOgev78+SgsLERMTAxGjhzJ+2Gz84S0JVFWUrYv0/+B06XFcOHU+u8sy8gSSvnZithYNT1c4Urqj/9zXY1qQxrUcirBPA6kfuAP3k9xPIL1cl/MMSqp5VrL274ao6AE2HcavsS/pcNY/gIiQYJHeQ2ZAnNfdLHvQqUuGeFIrj7EXIDDA4JrxqFRXTlX9iRIcVkw7f49Iqu1E0IIqVuPhmWdEUJIpwmw77//fgwaNAjTpk3DpEmTwvEUpB7FSEYayrA9diwip9xV+/s17gzMrcjCXYYvYJDdqFtzOkDA/Gm9yRLU9zgmKQNfe44AKwoeKsD2VJcEXXarc45ZX+xwWFAaj/ecN+AVo5KGLURIH2y2c5OKCt/luV2vw8FtSxETPxLdwvB8tee8M9VObSLs+dnXwZkp4fSAAHt/aU1YDhQQQghpGQ9E6NQWim63EwZjOPLGCCGkcWE5vGe1WvHEE09g6tSpOOOMM/Dqq69iy5Yt4XgqUov9mv+Qc/U+9LyIipwF2qEfiB88SmV7AxouOCYEVJ92WpW5thZBSTHXicpYdn1TnXUByz7PeS/2yErRMVfAA4x7/4Zp+/eavHcX7HfgJ2kS5npGKc/jDmMxtWaoqgjuEvD45kS87DkD2xJCdxdotRAB9oDcbzRZ9FNzd+LW7/0t1xjqg01IdNOVbIHg8B9EJO2vYtrLsMomfO2eCoc7Mg42E0KiU1gC7GeffRYrVqzAG2+8wdPCv//+e5x22mm8D/bDDz+MxYsXw+OhL79wMOlFmA066HWUGhXILcm+0WSD4OFp4PVx2P3Vp5P6jEceMrDBMIJfFj0uHCeu5NWx2ShtbU67UlirTI7DMmkIPjE+gaWmG2AsUQ8wyTISf7kUCX/dCLFabczdCjnldn46snsKP/1rSz4OlGtTPbs1rBWFQZen65bjWHElrhmvtNDS2rb8ukXH9G5tipy5Qxy0ENTWaIREuu1LvsbuDy6GtZoK82lFX7AWKV8cg5SPKUMvkrgHnop9l27G6Gs+RKyFpiISQtpPeCoOsRE/i4UH1Owfs3PnTrzyyiv49NNP+b8///wTPXv2DNfTR61tuQd55fYe6cnISE1r79WJGIPta9BXt8uf7s1SqYXQb/+qmmp+6pT1MJhi4LlmBbqoc7l0HiveNL7Azx+UboGu1hyv/MICZLOq4VAqY2WgnM/nznMrQW/Opn99JchKSwuRFNe6gHOa6x/UiAIM6hxzlh73764SXDAmHInYTZcdF/y6PGV4m5/uLz8SSBit+fNZ7cqBhlCt2VprjusapJmCq8azA4TPzd+F24+kiRgksk1eeys/XfjrExh0zlPtvTqdgmv7n/xU7CAj2Fv+eA2yrQxDTrsXnRkrqJsWpxQkJYSQThlgS5LE23KxkWz2b9WqVaioqEB6ejomTJiApCSl3RHR1mFzlAJbebpsYOZyenlV51k/w0DDpuDgSwz99ve4lXRwl/rx0On99xMFf+Ao80JX/tu2zn0XU7Y+wM93FUpxq/4bZbScL9PFK36PXnCh7/52Y2rrto8s4zHxdeiNEqweZbs/angfX9QcDoRlpnPTSXFdUXHMK0j868ag69PWPIuaHp9p/nxCqGBao/noerghCsEZD+wgzRdrcinAJh2G0VbQ3qvQadQ4I2MqTlOwTKupO5/g5zfnnoP07AHojNg+5+vvvYpYwYHzTjkLlpRsQKe2gCCEkM4QYM+aNQt//fUXKisrER8fjzFjxuC6667jBc8GDOicX+6RxuKpbGSmcXTpk2QAArKWbXYbLIbQvdhZKvkGqRecghk9at0mBvTFltViKl7e4NrrZv13ShDtBLrH6+ByBKdu10CpUN5iEjsEoKzDAZse3k9Wf9dWAEejPcnmJDgHnI4nf10ME1y41fAtv35vmT0sTcTkEHOwh2fGNVzMron0PNsh+Lq+Yj5eS2IHCqZq8AyEhF+XREqZ1UpRtRO90TG4XP6aIu5av0GdidvlwEOOp5ULX72E7Sf+gOTeY9p7tQghUSosATbrgc2Ca5YCfu6552LixIm8qjhr30VIu5CUww0H5DT85RmDwyQBocNrwB7TFec6H0eiWY+/a90WY/R/ZAyBb2fJDadogVEK3oExmOMAZwksOgnFNiX13Msj+IP1lhBc/jnGf8dMx4CqZfy8MWDEvb1sK6jGe8v3Y57nFAxIlHCrQwmwHWEqvbAp+Ri8uCMV5YjDSeJS3G74BgbZoU2ArR6qOsrxLKpkC54zvIGpug2Ybv8ZRRosn5Bw2q7rhwGencjLOg796aXWRJ7YlZ/myynhSwPUiMvpnz6TmFH7kHHnwbLEAlVUVSE8zTHDa+u892HcvwApJz6CpIzu7b06hJAWCstvw7fffouVK1di6dKlmDNnDp5++mmeEj5u3DiMHz+ep4j369cvHE9NVN62UkR9PdQRzrvdV2OhZxh+EesfzfHWLvNWDA8kB6SIB77ErJqsN7gukhOQLlQqd1FHydnz26XggFpwsKJDLW/2JKhFvGTRgE1xkwBvBmgEHMiqKN4P465fcVZaFq479VjgU+V6ufZQsFbPp0vBWrk/r+6dKNTUqQavRYDNqtMWIRkl1KCLtKOyolxUFuxGz2FTmnR/b0E+6gmsnY0px+HW7QN5zYuliGxup/+gryUmEZ15BDuQ5A5Rl6MD6LflJWShGNu+2w/MnNfeq0MIiaQAOy4uLqjAWXFxMZYtW4Z///2Xt+9iVXmpyFl4UYAdrKjSClZOzKEGua4QFcC9PGpLLVEIEQwGXhdQSbq6qhKspJxdNkAMiLzLPRZ+fVFlDawJsaiRTXyOGGOo2AvUSUJvusLSMqSqgZ8uYLW6J8dqMnLbGoml6/CG8UXYqi0oKVAqnHOhXlONqsQzA4QDuFL/Gz+/1ZaIVh//l2UY1Xn0V03ui2cXH8QoYWdrl0pIi/X6chJ/T66UPkGvEUc0ev/77BcgATXoU5kFOqytHRkiq86ASOdWR7BZ0c7OfJDFWzvFdzngwEJHkiGX8ClJTzjOxDPtvTKEkBYLa3aTLMvYtm0bH8lmrbnYqDa7buzYsXxuNiFtRVJ/fGMFOzLkMrhd7HLoJHFz+Tb8a7wZJR4WGv8VdJsrIC63Op2IMSrzqCuqlBFrs+CCOSC8XW9PRVepO3KrAIPbg9td1/LAk6+TJ3iHoLlsViXlvFo2It2V57/eLbd72qKsjiZYYEO3v68KuCE8mRX9rOtwk3kFbsNHvutew7l4UqOpBczF/52LK8xVrV0iIa3iPeBTsXMx0IQA+6jYfRhkX4ciB/s+U4ohklZuA081btF/o+bjRHYdBrdT+S42Cm5UlhYiISUD0ZAiLrk65gh2iZCEDJThqmk0f5yQjiws++G//vor5s2bxwNrNnrNgukpU6bgkUcewdSpU6mCeBsIzzhhx+VN833fqBwTXlf+E5A2KuR9M8we9BCLkGLWo/YxcEHQ4y7XlZAgYKbgbwfitgfPr/Z6O+l2LC0vwwPJA9DdVoXtcjdfCrlFbN2EZLdDSYV2CiZMK/vCd71O197hNSC7g9P1qvSpiHeXhC2z4lTLesQEBNeMW5NW1TIcPadBkNww5izQYoGEtMoSzxBM0m1GtSmzSfcfaczDeNcG/OtpPBgn9XN5JBh0ygjwoPIFOEX/HT9fhJcj+mVLyuzlO19Tnt+JA+zgA9ZyBw2wDeq+SlwMFSUkpCMLy574Cy+8wPsRTp8+naeJsxFrfQQUXooGdhhhhhNbTCPRp71XJoI8I1wGOKvwqP49Psos1QoAA8UblZ0oi9FYN8DW6fGF5yh+/mrR4Lu+RgxdEVyvzuN2e2TEFK7GPNMdvtsKyqt42npLlZh64AbnjUhLiMMxWO+7/kCFs/Wp0RoH2H9mXY/CPWshJPYPTwOxEFXEvWnjreGGHn8NexF6nYDjc4a1enmEtJY5NpF90SNF17QU2GG2Ffw0xlFML34LHay046z3V+GEwRm459gByPAcDM7KCdPUFy2YTBaUIBGpqIDsCVOVyQjADoIGkl0dM0U8GUqWVLdt70DqE9kHbwgh9QtL1Pvhhx+ia9euyMnJwaJFi3hV8YSEBIwcOZL/I+FTcNUOONweZOpbV6G6s/lTHodKjxs36b5DD6EIUq10skCC2j9ZFnUNT8EOiN9KTN1xs/M6vGR83XfdLc7rfCMeLknGoOTg+W/frd6DrFEOdIn3j4Q3R6UuCT9LEzEyJgHTsMN3fa6pX7sH2KhVYOz1nfHYJZ+P6akZODOMRewCXVfKer+q1dVaqNrhwQ3fbuDn95pbtShCNOHUx/FT2dG06QqxknK/+Cr/dwRpnrlLFuFOfIn9mzOAYx8Lrs/BvnsivN+ypM4Vl9Tfts4oo0s2qo58BqWL3sQyWzcYjGE5lNtmYvb+gdB5cYSQqA2wWXD96quv4vXXX4en1hHTyZMn89tiKP0lLGKMOv6PBGMjyExaYhxQVYQ+yQbUt6tRbXcgiWUDhLgD262aIq7nhcxkD0sxV0axbS4JrCu119OuczFHOgxvVryDe4wLsTv/Cuj7BHeAnm18CSuqLwbiu7Roc9ldygqaDSKGpiUBpcAb7pMQH9/+pYxqV/A+RlyNfnESHjwhPPMVdxSUY0St6xKl0lYv160WwwtRUB6f609t527jJBpNqFbqQqRXbWzW4xyu4BE+0nQZrlxcoP8NqyWl0dnQrHggV72RjZxGcIBdmLMVQ1HGz8tS5w2wZVMi7EPOh63nmRjikZBo8WeYdRgBR+21meJECGkvYSkpySqEz549G1dccQV+/vlnXtyMXffwww9j+/bteO6558LxtIT1PD1YhnV78lBeqRTdIoqp8gocKa7lbVUYsVY6WaADpcpx46KaujsjbOrDh4an8KHxKQh2/2vscATP97JB2eFKlMrRV8yH0VkGwV03ZU1U23i1hLFyN04Ql2OQvBuS2j5MDw80yIxutdGZwX/XXYYv8LzjIYjV+WF5Pqu97nw7UYvRmqpcbDNdgpXGmUFXV8oW3F19buuXT0gLJYnNm2PKWtiRlrHISkvE4cJufhr4FVv7uz/SVOZu852XPZ3/IEtqrBGZCWZYDB1woEEQsHLqZ/xsBagQMCEdWVhGsL/++mtcd911uP76633XsRTxnj17YvDgwbjkkktw991307zsMJj87XB+WqTrAsxcHY6n6JBe0z8PHWS43EqBF0Gqv4K3rAZmnnqOP7ECZ7wVV0AA1+fAt7jM6J8v9YDhY7hZOC/qfSnM+wtLMbTWsvQ1B4G0lvXC7lm6mI+Cr7ROg2hjY+7gLao+c93FxlzQnlx9j0NVQlfEz7/Td10srDD8fTMqTvtK8+cLdcBEJ7d+Z1JyOWESXHDJwV+Vga3YCGkP9mEXqfkzTSMGtBUkzXNofEVQBXchYKTR7nSgZZN82oYnoB+01EB7yo5u14ED+PXv35EQF4dLT5kOmdVI0Xe8eT3eIqU6tdgZIaRjCssIdl5eHo44InTF0hEjRsBsNvPq4k3FfhS2bNnCW33l5nrzsoKxkfGFCxeiqKioxevdmVjcNILtI3l4cM1UScquUE5J/fMX3YIJu6QsFIqhU7dldbQ4sCL2kNS6R8sfMXyA3ulK4Ns/1YSSCmUnLYiz5dtpZLryQzysRyaKyv1/T/ei+Whv7vThsA+5AC+KF2O/5E+N31+qVD7XmqgG09ukbtgjKdutZ6JBs8q0biF4+8YJdjzf9Z9WL5+Q5mJ97xl76pBmPS4rseMFG5EixhycAr6z0P996+EtHyOY2jKRayBzq6MTCjfj4ZoHcUfBHUh7ezBK5r+Ejqba4cYT8/fy87p6J7ERQqI2wM7MzMSuXbtC3sYC68rKSsTFKYVaGrN//36ccsopuOGGG/D222/j5JNPxqxZs3xHYp1OJ2bOnInLL7+cp6Ufc8wx+PTT1hU26sxkSULOu2dh14eXIWoEFMD6RxyPL9xHIFdKrvfuhcljMM35HB6Luyfk7XqdEmwlB8zxioGyE/OxO3hWbmKskiqdaJAhhKhqWrt3Z3MIbiVtUTbEYHeMfwZyJMyz+2FDPh76fRtetB6PtzwnhX0e6NdxM3CBcxYucf4P97ovD2rN1hre7cOyEabHfoHDHc9jraTMcT+j9K1WL5+QxojVeUj65hSYtn8ftOO9q7RpgV0hUvjp3kNYZgtpCZMxIMCWPKi0Kt/lCz3D4DDU/1sSCSS1HkaNbEZ6n0PQWcme4M9DYVXHqyLuqi7BG/IjvulehJCOKywp4kcffTSeeuoppKenY+LEib7r9+3bx1PDx40b1+QA+5577kHfvn3x/PPPQ6fT8crkZ5xxBoYNG4YLLriAB9179uzBb7/9xvttL1iwANdeey0mTJjAHxdNyopyEVxGq67CnG0YbV/Gz+c6bDCaWj4HuCO27/g27kIsLrPhkdhB9d5fUicx60JVtuILVK8PSLn0zq+21k4W1KlBuOTCbvMQTKm1qLRWDCoJLn+AnR833H99BKSCFu1eg8rduzFr3AQMKo0BDijXh6sP9j5dTyyTEvg80yHYp9lojaTutHmgR3pyMjaVSMiTUxC6gzoh2hN2/ApDwRpIGw1wDDgdJkF5X/+35BdMGN701nFsYgtpmQOVLvh+Mdx2/Jp+Ja7JPZZPI/pMiPBiWmqK+BbLGPSMVw62dEaSp9bB6sA2Hx2Ex1GNVEHJjtDJHgqxCenAwvKLe84552DAgAG49NJLeYB96qmn8pTx448/ngfIDz74YJOW43a7kZyczJfDgmume/fumDRpEpYtU4LEOXPm4Oyzz+bBNXP44Yfzed4//vgjoklFSR4GfDW+yQEDY68JKNJlq8GOpd/x086mxhYwB03dGXJ51CDU40TS1ych7t97fffxqD/MOqGxj40U1NOaccCAxR5lprWz6wQUq09dXFmDdeZx+E8K7k6e2IriszvylGkWO8oluNVUZuaQru1fHGVa2Rf4yPgUxhV+hvSqTWEP/r09r0cIu/Ge8Vl+fp/csursgVLNypvAYjLh4RMH4crxXTFcrx4tIKQRRbk7sff9C7F/85IWv1Yb8pTv6fUVFp6B5HWZu2m1DO51XoKbnNfjxwMRHghGsMIa/8E6yWmFU9bBCjMcMPo6DUT6yK7E5iR3YnKdbLDI3i6hBE43OF16ul3XhRASgQE2C4bfeecdPPPMM7wtV0pKCh9xvu222/DTTz/xYmdNodfr8fLLL2PUqODxooKCAj6Pu6qqiqeQs2A+ELu8aZN/pz4aFGxbHHS5vpFCl90fQFsD0nX3fXcXJq25Cblf+gvTdRZOp5IiJ8kCYvQy4mCF5FauM+79G4bCdbBs+MB3/4yiRfjd+D9cV/NKyOXZ3MprWxyQgpZXrlQev0k/B5N1m5DX/xJUHv8mtlUa+RzkLRU62F0SnnbXqjwdon+zl3njR4hdeH+9R+LtNuU5K9wGWEsDahNEQK9TUf27Djn4NQZX+Ocqh2sEe7JzMS4xzMV3xgd8111ovb3Vy01SExJiLEpV2pmjk9BDzmv1cknr7Vn3N0rylarOkUr65UaMtS7AmPnntHgZNvVAaIFDH1SkSuZNAxs3ODMJ03XLMeDgTy1eh2i3IfVE3/nSykp+QG+G7i9cp5sDoaYQkUxQf+vGWf9BUW7n7YUuS51gBFvdViVyPF669Lj2Xh1CSCSliLPglwW9bKSZzZ1m/7S0dOlSrF27FjfffDPKy8v5dUlJSiGpwIrlrOhZS+n17Z9Kp9OJQaeNCjG/N9TfITmVkdYdcjdkZmVDLyr3OaTyb346vuZvlEXA368p2T+P9rqyJ/GueTEWFtwFvf4m2BwOJNZ6vfrEudBLzEFybNeQr+Fz0gXweFw405Tsu712SyjXqMtgiU/Hf9nn46pdE3BqSiZM1kLskLrhc/eROF+vFCKz2e0wBzxH4HaPXzCLn/f0nw53N/9UCy+DpGxz0RSLqQV/+JchSO3+HvYWHfNyCSYYZAdP4Q7Hut1o/g163Zqg69yy3OrnEs3xcHWbBClOeS8ItVq/aPG3NPuzTrBn/QKMW3wpfyXKbo7cAx6proP1vleaut3Fsp389BD3OogGPa6U7sE74mOwCybENuH9d2hiBaaUrsIKd3y7fy90VDZ9AsrlWCQJNZDcNkwo/wPnG97nt62znQ29vm/Eft67HnYx8MXr/Hxl7mZk9RyIzj4VjBHD9FvTUk3Z7t7uJm7BgG4pMW22biQ86Lc9umkWYHs8Hp76zVp0yeqRw2OPPRaPPfYYD3i1wNLL77jjDl/qubeQmjd93EsUxRa3oxBFAcnJsYgUCQlNmyOtT0gLurzZOAxjQ/wdySblR8gQk4D0VH8q8fqpL2HEP5djr9gdvSLo79dCtb0L7nZdAZNOwCmicuDFaBD5dl5h1yFTvZ93uyenK6ddkmKBEK/F1+JxqHS6cVFaF99j8mMGYE3ZNowWlZ3hHt26QEiIRWKcMslap9fh0pLn8KJ5ZdCy8mvsGB3iOQK3e2V1KbJD3Oe12DPwRdUIHNt9IswHFviuz6mwYWA7b8OcWrPH5vW4Afm7NsAT0w1XhGPd1PY5gVjWeGs/y+Wm0Vh/zKdIMBvQPzkWlYIy791Ly++Kpn7WCbAmZ0NYtoHW9vU7Dtj5Cb7Wn4Sz61nPxrb7EI/Sx7ibUAykxePW44cBfwIGwdOkv71P1XJ+GitVRfRrFcn0Rj1ec58KPSScktgF/R3+91//rDjEtuB1bavPe3LyYGzXD8AA93aYTbpO+x6IMQVndOh0kbUv15TtXqBOGeuCUmDF48Cxj/prvpAOi37bo5NmAfaXX36Jb7/9ls+HHjJkCA4cOIDPP/8cTzzxBP+nRXDN+mdPmzYNd92lVEP1Fkqz2YJHb9nlphZRC1XgqrIyeCe6vY58sQ9lZaUNHu984QZIarrwRnEQhIt/QYpBh7KyuvOp0/pPQWXqD0gR9SgrqQRE5eCEOVU5At/Vk4+iojLo9a2YHBxhimsEfO6Zhni9HtNlJUXO6XDw16dUUrIfWOEqi/p6GatqwH6WWQZ9dYjX0PtzV15uRZleuTQ35iQsdw7AKvO1ym1VbsBTA6dDGT2vtjnRP0kA/ANaeMd9AuJjJ6F3wHMEbnfvYal8TypiQqzHMmkINnq6Y4KxG/KNIzC25l9+/SZnNjJC3L9N1UrX+2iHEZtMV6J/XBzOCMO6xTuddb7MPnb/H8rKgqdONNc/O4px63cbMTwrHh9dPAbVlXbfdmFCfcbC/VknwHaxP6axubFyEgzt/V5vgF79frVK+jrvlaZud72agcOwZdidsu/6prz/souVz8BQ2yosfvkKDLno5Rb/PdEqI/9flAhWrJIGYpzNjPiAmheSzdas74H2+LyzYmyMtbwUJcUVENVey51JnyGTYI17GHvW/YXdZS449L00+X7WSlO2u7VS2Y/jlr6KotF3dKp9sWhDv+2dD/sMNzX7SLNv2blz5+LOO+/ko8tebP719ddfz0ex2ahyS7Eq4ZdddhlOPPFE/hxeGRkZiI2N5cH8oYce6rueXe7Vq1eLn8/tjpydXPZF3JT1schKNS2DJR4pscrE0ZCP0yfAMfcpdCtdgs3jn0f6ocrcwBJdBsrkOCQL1di3cSl6Dqtd77rjsjuV0U2DTsDgrERgFzC8SyxcbslXNEiC6Hu97DV2HmBXu+SQr+Fw7IRDsENyDIbbrRyNdnsklCEONn0iTHod3PoEVnkLfUvm4yfjbOQVj4Le4i+2xlyp/w0fuR8N+RxsuztkPa8YfMBuRk/vfVhFWL0yKm5V/y6jKKAn+7vKgD88h2Jv3Oh2fw/ragXYN+u/Q+/rlPn94Vi3kspq1C5p1ht5qGnlczldHl9FebbegYkxf0pjMUrDv6Wpn3UCpCcq2TcGuCP6NTOpmRVVLhEulwdCiNGoxra7Hv7Pkqe6FGP+uYCfN8iuZv/tk0u/QZH7xWY9hgDdK1bhAv0cvO0+ETUONyZ1sQB71G3idLboPdhWn/c9a/7AOPdWfn7SxllYlLcGA8/vhO+BxH5wDu8HXZ8ZyLS7kWjRR+R3Q0PbvU9ycBcSh80BWDrfwZBoQ7/t0UmzCSoHDx7k1b0DeS+XlJS0eLk7duzAjBkzeEuuwOCaYTsrhx12GObNm+e7rrS0FKtXr+bVxKNJ9tDDYU0ZilSDC5vzK1Ftr79HamGNstNXXFrqu67s1/t4cM1Yd/qLUnUGsqMCh4kbMErYDr165F4vKKNAZTF9cYTjOVzg9Pe83lGoFBXaXaoUHKntJTyFr00Pw1DlrybtkWR4oMOHh/6MkktX+jIDYj1VGC7uRborz9fKy+td9wlwe+ovxKJTq6B6ZOVjashdivQ3+yFm+TP88kjHKkwV/2NhPdzqfViPXLYu7a1vSvBR93HiNl4MSLAWY+fKn1A++3Ac2B6cLt8a7oDqq15a9MHOOvg31piuxv+qlCwcXcDIzy1OJVuBtL3BWUrvYaMG2zicissr+OkNuu9grVbON9cW2d95oKLGn10Va6DU0bae3ztAOADJVh7UArC0OnJGSUNxbQkubte7VMl06qxSY43olRqD5JiON/Lr6jYZOZcrU0IYd53K6ISQqAuwXS4XTCZT3S+71NQ6KdxNZbVacfXVVyMtLQ19+vTB33//7fu3atUqfp8bb7wRCxcuxKxZs/j878svvxwjRozAUUcdhWhS7tIjpnQT0srX4fDvhiDpg7Eh7/fnn99htEOZkwe14BnT1bnHvzNhK0NnYqrcjU+MT+ARz0u+wNdbadvkLMYvxllB1adltZWULIT+ePiq9wa0nJpZ+BB2mmZgcPFvgC7gc6Cmd+lkF6pr/K8300MoQGbxonrXWy8oyzc6lANUln/v46exq17ip/e5X+GtsJKc+UgvVYLVo3VrYfC0/w6fY9Q1qD4suB1f2gejkTTnHExccS36S7uQ9vd1mj0fO7BQm1HwBLU1agl2UCRFqEYM1O+wgPcEK6JDGhaugz09NykjcLFCcFZIpPnUeJ7vfKyzZdWmF2RewU8PyGmQPP73ufuox5q9rO0pLLGeNNfwLkrW0OG69UgpXhFUUOug2kEiUgm1Ck5mI7xVzzf//ipy3jkTdmvw7124LVz7H17+9DP8tHAJ60eq/OuA9AZj/b29CSHRF2B7C5vVxkaZ67utMfv27eM9rbOzs/Hdd98F/WNBNdO/f3988803iImJ4b2xWc/tN998s1Up6R2RIAaPZljc/h7XgXoW+4thwenfMdDLygjgE5Y7UDVZCeQ6iz5Jyg9WRmIsciqUv3NfSbWvbVSs4EAs/DvqTsHE52RX67z1xYMJapAlBrSc6pNs5AFx3/Tggn490pRldE/QQXYGB77H6NYg1hrQXisA+8ysl3rz82ZHET+tdgTvMCTrlR/fbukpKEs+xHf96INfoL05+50E28gr8adnTND1xdX+19kkh84QaAlvGu334jHBz9navtvqXEuP2j+dzV3cJWXx8/f2VoosktB2FtfgqFeX4N1l+zR/iQR7RYdox1MgZmCL1J2fN1a3rH/69OHZvnRz1r2AccgG/hlrrpK+Z7ZoHaIdO1jnlWYRkVfmDx4lj7tDVdcO9wG1su3/ort9C7ata9uR8rS9P+CR8jtx+fpzkD67Jyp+vRsdzeqccvzfj0o6P+OhEWxCOqyIntzBguvXX1faSzSkb9++uPfeexHNls6fg37N6E/MCAFHR/Vqe4ipg7IxoIeSftlZCN6/WWfEGk8fbPVMgMuThQxWedSWz2+yCE54DzdsTp+OqzYNxnG90/FoiOUlsdSzGqB7ksmXoBpnUHbyE2LMCAwbk2KVOdrxBsDFDmIIwJaTfkXl/Gcxvmaery1HbR5Zhkv9eArqDtw8/VScjR341zMcg1lQoaacy4ZYdD18Jgq3voUMVn20tUGlBt5cvBflNheKPEfjWN1q3/VOtxsbpV4YJu7FR4azcYlGz3c3boLstGKZNJhf3qi7MmD0Rt/q3qqSoCxD1BmwV85EX+TjvPwnUITO1zdeKz/9+Qtulf/GtmXdgQnaHrTbVVyDEQC2dTkJKYhcLknGATkDg5EDsTKnRctIiVPa9cQbZBSro3KsaNWGvEoM79q8Dh37hG5N+p0g9QepXeMNOGC3+6b5JCSOQiQ3vhLbMMDeXlSN/kIu0oVKWHRtPIJcq+5HQYXN14KzoxD2L8KlB95kKVkd4uANIaSNAuznn3++TvVuNic61PW33347UlIiedeoYxlc2cSjxYHpYgGBmHcEW9TXTfPv8NQfXlnUY3nSKfhu/1hcndgTrIxbL71/HnrttFaxvvYY3jThwEDWm47mTUH30qnpXh4nvvYcDgscGBnfFVlJcUqQHl/r/t7FSfAF2DF6ZdmFdmV9KlgJNo+dj75zBgt0ej22J01FRvkcCBEQYOdsXoiSKhvO62sAAgbu2Ki/W02cycruzedhuxa/hNij70VG90Etfr7FnmGw8m0g89c4cMe4VeOb6g4Oe+/w9ReUrAfSuF7uPbhK/2udLAZNqEHDEnkEjpfZdIrI3CKjq+fjGPUA076929BlePOX0e2PGfzUPfpqX4p4jODAl1+9g+G33Nbk5VTKFmxZMw/Txo5u/kpEudyyKvg6XctuPBh3P/YcLEUlYjCrnkynSCEGVKEPtwPldiSq0SE7ENG+I/Xt/zvYXDH2g5iiW+u7TCnihHRcmgbYv//+e5OvZ3OrKcDWjk4KTretb38zOPiS67SCGbn2HpR4cmGe2LQCTpLkgeR2Q2+M3MA8p7gSrBlXQY0EMdXfjo3pmli3J6V32iirHN3UALu8xsZHxEvtEq9A7lXpBD+KXm2z4QG3UmF/XkwS0hPjgFwgI1aHUE3hPG47Johb+PkBiTLfUt61YRXPq6srke69rLPw20Z2SwbKgVFdWdmz9vWQ8zlkmoqx0XZirVtk9Iz1gK3gmL7d0efPs2EU3Nj7007gumUtfj63Otf6lPideNmlzKcvNWbD5nLB3IpaN13jla/I9IRY35SXwaZiRHhtrYiQplfehd0F7ed8CmoNhVUHqjHV6eZ9yiPR1Br/b19NaV6LllFmcyGNFV9MmAR9QNbRm4bnUSjdAqGR6VD/57oaY4TtOE//D652fw7gjhatRzQrrbL6Amyny4VKKQZFagDnjoCikpGSIp5QsRUjxd38fIpFh/pLrYZBrb9TiOCpI/WR1QO6+6V0XOa6E88a2SefEBLVAfZff/2l1aKIBm2R6htlEwNGsIuN3XznWcsXJsZdho1bF6N3EwPskrdPQLo7H44rlsNkVlIZI02FVdnRr3QJ0AlKcSrZ92Nc93UaUvQT5hi/RE75kQCCC3UxpVY3D24PlFmRqfaGKq6y8gD7QKU7KF0wt0aAWU7Avmp/lKfnK6EGBJ7QuyD6gAIt7OAH2zpudWQgCdWwW6t9czEFtbK1t7epqFZIb0/eCt7DSn6ts9OTbFPm5Har2cCDa6aXfADKTPOWOUP4Bw5RxAM8gFCMrnwGvyEWSnmilsmMU4KXzKQ4eGddZrlbNpe2oxCr8xGz8kXYRlwKT6qSct8So6WN/HSwmNOqbRuKt8Dcxfo/4bZfBZgjc1qLIeDAZ+D0nObQs+9sAdhUaMPQbrHIkdLRXSzyVRk2NHJwc8LJ16Ns13Jgxz9UmK+Fvky4nH9fZQml2JxXzoPqI8R16C3kI6GSfd9mIlIF/uaHW2LVdv+FNgzsg6aC+VcAHY76mu3V98GTF5yKLkmt+fUihLSn6KoE1onpmvojqo66fpt6LQYdfbXvaoslps7oUFMMcW9GOsqQt63lo49hpwaxkqDDyYWvY7d5Bo7If8c3J7i2gZYqHCLuwrCY8pCL+0g4GU+5zkOFgYXUClF9zQQ1ldirOuNQjHW8gSvle5GCSiSgBqy7To1bGY+usoaugmzQBWQXqDsKdsH/Y+uyKwG2TTDVHVmPgOqp3gDbJigZAtsSp/oCo6IhSlVkW1Xd9PwWkTx4Uv8mXjDOhiWgWJ0WVawlSzpcGSPhSeyJaBH/5w2wbP4UyV9Nb9VyQvV81opO/byNF7dCjtCuB7tW/8a/H+vLMmoqbwX7olXfQEjqiTtS/XVJvEXPGjK1bypG91CmY9H0hpY5KHbBf5I6hi15MMP+GT4wPo0HDB+jS7k/pTciTZ2FStn/+75L7BW2p0o2+z/z1ayHczsE2N6WlZFQi6S5vB1MYkxKqzGDjnbRCemo6NPbSbiF4Lm8G8TQ81lj1five0oc0uL8wZnn8oX4t9/dzTriHdgCSVaLQEWiotgBeMQ1A3/HnAjZu9Ov7qBvLqwb4GbGKX9LZmLoEfkfDCditucU2M3+AHurbgAvPuY2BdcV0Ktp5jHucqwxz8R681U89XxrsbLzsaMgdHAQeJBjY54S6Mvqx5XtJFfqknG36wq8rlPmZzJ7y5Rl7ilu/7YxenX9S2WlCNM+Y3985T4cfwuTsHSfUgF6y8FK7I0bxc/vsbRgcqpXwMiFd5Tfd7mVbboOdD8VKw7/EvsHh87oaG0bsEgkFK5XTuspwNdUWQnhmzaSo/Nn33hC9ECPBMkb3vadv9Z5M55NvLdVFaxvNXyLLnEGPH/mIQ32fw8iyzDsm4+UgiX8otARR/UigNsj4zfPWLzqPhWFMQNwtGdBUAeJSNZ9wBhsi1Xadq6KmYLqo5U2j+HQU+3Ywewualnf99b+5jihZIdFQi2Slo5gH2pbiJjlz0CsOdjea0QIaSEKsDsJnkYIYO7gJ7Hs3G0wzJgT8n5dT7gb5Sd/ir4TQrRr0RmaFWC7XP4j1HFdW55KGm6lpp5413MiVsYcCXgPRKg/vnYxnp+uk/r4H6COAMu1DlrUFjg4+prpSlzsuhtVqf6dX0avHoFWp/JCEgx8zuQ/Xa9GP/tH+Dk9dODmDqgeujVuPD/tbbH65rRWiwn43DMNf5qO891vA/riS/cRWCf7yvG0+wi2VVL+8D9yDbgP1+I5zEBuhcMXnO5MPAwFchJ2mYdpMsfQKfu32c/GWdBXK1XiW+qLNXm48OM1+Hhl6ArQUicMsHON2rx/qp3hy6R41nwzSmWlcKbH3bYjZU21PvEo3/lyxMHuaf2IPjuYENgn16O2kasPK5KU9PNF6LXx+TqtBUnTTbb+ha5CKb7zTEF+3NCgjLGkyC0/4iOr2U3W9FHo2j8MRQe9ArKn3G3cpGbQlHNQM/5/2JJ5Gv72jEKuMeA3vaMI+C2LXfUSygr2t+vqEEJaLnKHHUmzxOncvPBSUnwceqQFltkKxuZUlqz9AT12XIn9Pc9B0omP8es3H6xCUY3UrLYe7oAAOzE2MudfB45iGnQChqUnAcXAiMxYtQCLGkyzXU9Z5mmtNXbWFxuw1fMy9JJzkCBUQnCxQCQxKBW5dmG0WHsevjQ+jEwoR/N986X1Rr4D4qonPquscfDCRkyhsQc/Pdwxj5/2Fgvwn/pAi8EfUG5LPhLvufvi7PiuOBbtS6++rv1Fpc/3cbqVuOume1F8cD8Gf/sTv04nSLir6AjkOyYivcqI4NnaTWe1+0u6WUwmeIuIs1ZgG92hU/Cb+97xZiIE2iN1gbkjjpI04sPqsXhAtxG/eMZhXIQevz2sTwpca/VNCjLbS7nk/050yno4Pc1/r9Ru06M7uAZpi+7y395In1xPrekibASbQuzmm2b7HUMMm7Hbmcm/6zNiRHirU7ZlEbGW2L7wc0yumc/PT933MpauGIR+404Jy3N5q17/6JmIorSj0fLDps3n7HkU/xcz2Imaagf6R2jhw4aMyY4DAmJqVjw1smvUE0LqQyPYnUT8yc/BnjIEWXl/Ys/BYjjc9e/M5ZdXwyTZUFhW4S+U89WZOOuA0vVZ18QSyYHpiXpD5B7GN9kKMFrYjixPPowG5UfXICq7mfmJo3Gi43Hc7prp2/HcVlDJTzcXhqrvDTzseAY/m+5FQtkm33X1BdhG2cPnifaEMpIqq227zHrlo+dwhx7lk9UdYzafzFulNsUSkIpYnY/DxA0YIPhHVlntNEZq7+qpsgS9EPz+Y72wBWc1POX+9WUpfONNObxY0Ok9Wz7a6XCoc+xlwTdS41+V1o2iTjv4DhaZbsJhJV/6rvPOZ7zcdaevP3Zn4lazAAzqQZKW+sp0BsJl5uRePBuEkQIO9EWS3Gr/6/eY4T1cWPNBs5fhdnuwQvKXTdybfxC6SqVIIGPWNRy0e7sleMUa6Ce/Jbwj1j2EQhid5UFBdUlVDSJZxsbZQZf1Gz8L23OtyynxTdVxt9PvUFqsEYO7xKNrYscrEGYbdS2Krt2HA0IWv0xtugjpuMKyd+gdCQx08OBBZGZGbqXNjs6ROhQppZvRlf078COfo+uYuaHO/b777iOcevAHXpXWOx/P7bRjkm5zs4ucxZj8bx977lrE9lTmeUWaPsV/4TvTy1heOQ3IHh48P0uW8aHxSd7myuU5E6Le4Juf7SsaVovE3tsye6j/dXrXfgsyTEXYWvE+0G2y73oxIJ2TsUvKMvtY1+FFw8dwlgwJWamctT9jWKCaXLOLzW6D0qxLkV68BJ8Yn8A666EATvXtBMbBCp2nnZt0yTKqJ87iO6Gxy5/2XZ329iDfqLxyPwkz3N/iUONCLJD+jyVitujpvCnCbKfOaUyBxV4QsCqtG2G2uCvQTSjGbsk/Eu5Rj0uygm3tfjAjDAqRiGXSYGyRe0CZId8yO2zK9IsquW4rvNZKnHM2jGpt8tSAwkqR5NrqV33nB4k56GU2+CrRN5WsM+Ctni9jXI4yFcTj9H+2q454EjHxKQ2PSAccYCo+8gUYYoJrRJCm6ZGoB0qBewyfYUFhQlAq777iSoSueBIZah8wH2tbpHlVfy9Bfb95ZLHVBSab65v5i5BbWITDRh2CMQN6o0Ni+xYCa2+mHDz0dzshhHQ0mh7OLi0txW233Ya33/YXd/G69tprceqpp2LLFqW3L9GWWKsXaqw7dAXsCSXfIFNQC2upwYEnIA3xiUE/YsWEd5v0nPqYFOwUlR+y/EJ/UBNpRmcpKfPDslNwgDWm5i22qn0Hg9KFSqQJlSyq5de5YES5HAu3LnRgIKiBt3fEmMk2O5EgWJEVHzySHx8bvIwql/KgFFcBTtMtwQDbupDP4YzNwltupYrzsJLf+GlNwJzWEelK4D6wm7/Q2sTCz7HRfCVOK/Tv2LcLUQfb6OtgPfQm32hv6CBLwkibUn1+0r5XWvx0HjVN1gU9vsU0/OSZ4Lstw1vVr4UE71xLNbU/8G+5tJ/Tl4nQmRwtrOY92B1y64o3VYvxeMN9Et71nACtCVX+ntLxoiPiis1VO9xweasZqwwtaJ5u0ot44pShvtoCssvmqwRtHzoDslE5iNGUFHF77xPh7DWt2etAgrM5MmJ0cAVkb0V6iri34n64OWw1+C/lRPzuGYvJuo3oXdi2rVsn7HoOjxbfiKELr0Dy631g/c7fJaWj+GtbEe75eQtsar0GuQldAsKN7SMRQppPs71Dh8OBK664AnPnzoVBTcMNdMwxx6CyshIXX3wxdu1iI3JES5+9/0yT7hdYWdNXUTZg5/SSKUNw0sjuTX5ejzdNM0LnQQYGSWx0equrCy+Ass6Zza9Lsu3x3c87Gvlb+pU4xPE2FmVdHnJ53ZKVgL1/mn+OpVFUXsM4S3BamtkUHFh6C7+IRuWxBin0aDObrulSK2J724+s1CkF1OZ6RkFwKenrgiFg+WrWSHtXT7W5PHh+/i68vGA3vvYczq9bLAXPxiuSE/BHyiUw8A7f7HVo+VxpuzGFV2m+D9fhDesRuNF1EwrlJH6bMfAoSAuIaiVt2du3nFWwlpWDGhfl3APB1f4V27XmDQSdrUxwGuz4Dw4YsMij/UzMoko10Ox5AVJ/vRh7P7wYkeTIV5f42wV5taIYm6AWoDSrfeNZwbTthdWwuxoOngIzONYcqMLK/ZHZ0iziqa0emR5JRt938p2uq7A86SR0hAKo4XRg+yp0e28gYta8BhuMvCBcjKNtD7p7i7PWuAToZScKKyI7dT8U0/Y5OHn3fRgq7gtZg6Gt/bq5AMfOXob1ecq0OUJIOwTY33//PR/BnjNnDi677LI6t1933XX44Ycf0K9fP7z6ajuPsHVCl9vfb9L9xMB5lWpAKQUG3WLDlbMDlVmdqHBFzpHWRneORAO2pR6DK13/h38TlLTqPh7/fEa9Oi/bG2jr6uvj600dD3zdvJXHa/XBRsDlnz0TsEinVATPSEnmp5mW0DvIbB3YiCwTq1Puc9CmPO9BOQWCWwmwZX1MnW3XnD7m4WC12bB57QKsXr0Ig9KUwCA5IXikbb3UFyMH9NPk+Zy6GPwmjcc/uom+6yRoc7DBNzqlBjj8usCk3E5Y5MygtoXyvv9aaox9GW7Wf48x4g7N00V16vfYzpwD/HSc9R+E0+61f6Fy9hTsXd/487C/9Qbd9+glKgHGbc6Z/NTpCF3TobGR+tR3h/MDUJXHvALZpJQ8GirswexPP8T+goaDmMCR/X9+fgdzf3in2etAgBpbwAFAyY0jHC9gquMFfOuZioN65WBtpPJ+VkJNQdJKnDoV6Ar9b/CoB4a7JbRt+zKd+l3tFowRcaC5JTKs23GyTsnq4tp5v+qB37ah3ObC/370TyEkhLRxgD1//nzceOON6N27/rkvCQkJePTRR/koN6WdaMtQ6yh1feN2YkDw5f0BCtwJ0/9xKzxz684JDqVq3xqME7cpFyJ4BHtPkXL0dW+50xc0e4Po3qn+ANVbn8wbDNTKuq8TYAf+gLtcyg+htdYBZ09AEay7XFfiTfMV/HxGsjLCmqgL/QMqVufhFv13/PygdGVUXPAeEIGAnXnKLLo9AQeWh2crQfvwzPqryLcJazF+MN2POcb7kARlhNdc67hNr8x0TO2bqsnTuT3+St9nxm/CDtNFfBpEtSEVZfWVgm+izFhlxbsk+F/TbKN/ZMTqbLsRhoJ9W7D161morigO6/McrVvDTx8yfKjJSHg3oQgej7Y79Gz+O+Nsgx7YW354HOOXXIa+0h4c8u8ljd7f5ZFwrf5H3+WzJo1o8Qh2QXkVRHsZrLIJjgGnwy36gxZWg8FY3nA2mEc040HXxXjffRyeN76Bh4U3m70OBHA4/dvO5XYjD2nYL3fhwaS300Ck0qtZQoEa7Z/eXEk9fWfP0v3LT7vE6dtlrrnHl23UAVOb1f2zeZ5DcLLjUeQnsRor7WeG7i88a3gDh3pCT2UjhLRBgJ2Xl4dhwxpPBezbty8sFguKisJVZiM6GUP8iIYSGBQWGpQj74HFutL3zoFr2y9NWpbk8h/VlwNS6CJNWbUyclRsZ0GzEkV7Qv32qgHsESWf41PDYxhS9nfI5eVXKjtbe0r8gZZ3R19t8exfpGDgO8cVcgx0kGBQ+2LLBiWw945E15YoBLSe2vw5L1ZULiijVz2FAlTXKOWSip3+nRiDXjmvE9p3x0JS3wssHX6wbTU/388QHBT2LfoTxp0/a/J8gq0UJ4lLMRnrMLPyFd8I7LCqV7Df0LpeqF3UADs7xT8C3zMg68FVTxX4cDD9eg2mFH6Esq+vCevzGGVtPstmKN8PF+n/hklq/uhtU0blgkZ7wqCm7CCmHnjdd9n73mqI01aFWMH/RZCV2ZWfWgRns+eKez9LbLrIf7kVqPQYsVvKrHN7fSyWGPQ//hY4Rl1dN/uCNNmtuBPrJOW75L+cUn46UNiPc3Xz0btaOSAVqbwtE+trsakFq6XuKH5bz033poh7D0J1xBFs7zrXJA3E/114Jg7p2/TpeuHwqOF9fsDkWV3La6QQEq00C7BjY2NRXd20+YhstI8F2UQbrM1W7bZIjY38fNHrSXQ/QemnatKxxHFds+dsBQbVkRxgi+p8OZaufUjB19hmuhiXFj7Br5ICdnjd6ijbIaZ8TNZtwkCz0sastp/Eo/Cy+zQU6JQdZ4YFz4F9rn3X6/UY5nwfox1v8vmoJnWutktURqWletJGk2sN+Rbv34RCUZn7myDUQOdWA/CAOdi+FlXtvGPhUUfzWVXvsrN+Rs2423Fw8lO+26uzp/JTacfvmjzfUEM+XjW+gqdjP60zatHazGQpPgvu5AGQzEp2QB1tmI5f6FK29WjH8rA+T1iCMO9nUCPe77FwcwdMwWCK9Ur7nIZ47MHzFQVTgu+8aePHzXp+b5/rRMGKr756Bzv1/XBr2jvYJnXj18uN9ME26kUcOygDh/dPb9PXrbNZL/fBMmkoP6/zWHGP/hP8YpyFpwxvY3yFNt9j4bJ57DPIUds+hWsE22mv+ztWbW95XY2W8O63SN4Au5XvdV3JViT8fAn0hevRVrwHJRJjLLzVWEKE9PKOzD4NhERJgD1w4ED880/j89OWL18Oo9GI+PiGq5+SpmNttmrbgNDzW43qPON+XRLQLUnZYTcnZaL0+n1YO+27eudsNdQeia9D7YI+EWRT7Hg85zoL+xPGQoQMk+D29TXdeNDfOMepDmtnxis/atlJoVOtfzediOfd56AytpfvurVyf6ySBgQXHVOxUetjxNXYar4MT1bP4teVutTicE5ro4EbSxcrlSyQfO2hZCy2HIHHXBegINnfGi2nQtlpyi1r3+IuHnW6gFvQQ0rqDevYW5HQfThsBiVIjctVUgi3F1Rhb9+Lg+ZMt2anRNAZ60w9aW0brZ2H3IcNJ/6Cih5Km6TaAg/QhNsTgjK9gGVEdASD0/2fBUHjA3B7ZX/AwKrGz+qtfHdprXaf8wXxSmX/hrgc/uyTHCkdDrO/OV3iwnta9Fli3jK+gMNMu/DOOUOhY+0Em3Jg0+OAPm8FYovW+r47tCZW7EPMiuch2DtvATWW9r9SGoD33Mdjt2EArtL/6juo3SspMoKg+vQfdzL2ph3Fz+8Vu2PFxHdhifUf9NFCTn5uneu2Hwx9gDpcvL/pHu80ilZ+9yf+eCFM++byloBtRj04PqByMSxrXoOuODLmPnfEbABC2ptmUdGZZ56JTz75BEuXLq33PoWFhbj//vt5uy6iHVdAgL37sp3454xNsJ77U8j7Jk9/HBUnvI1eg/2tjLwEdadN38R2MrK688dS5+IOvQiRapN5LF7xnIFcNp9JCC4E5lT7Uv/lGQ3JO1rl/TGpp+Cbd6524M/3DOcsnOV8EIhVRooCsbnB3vmo3lRjXUJXjLS/heGOd+AOMczqdiv3P4g0XO66ExX6NHQ3KYFzulCB1fpReNtzEqpSlL7ezG5PFx5sLHf3R3vyjqp5K6Z7rUwJ/tyzEYaibieiUrZgm9Cn1aOjrMCcK+C1/Nr4IGLKt7Z8uQDu/20bTn93JRbtLq3nudtux6NMUObtxwgO7edQBshPaE3369ApooUV2lZbP8/zCB52Kd857ONYIsf75uJrZUtBFXYU2yHJ/oM/+ysaH4n3BEydudF1IyyxytSOlqhdPPKQZdcj/Y3eSJHLmlRc0lVVjOTvz0CPhTd7lwitxf12FWJXPg/z5s/QWc3AL8gWivGM+xy8cqBv0G1JHeF4l/qbdiBxHHqPPg4GY3C3i9Ya6a47yssymNpS6uSrUD36BngyD8Viz1Ds17euF7bOqhQQFF01bd7xJNO2A3FLn0DJjvr3p9tSffVeCSH106wKxYgRI3Duuefi8ssvx/HHH48jjjgC3bt35/2Z2XxrNnL93XffITMzE9dff71WT0sYNdD1QER8jBlDY+r/8XRlT0T58g/Q9e+jUdjlSMSd+hLfMc2tsKPMqhaLgqdJY9iyOoJtNJqRHVAsLNJ4i9CwQHdwViKwBxiQHgNHwI4HGx32HvC2O50wq61wQkmXitBXKIbOxeZHpfFRUu9uK3uO2p4VX8IJxiX8vMVsBttaFpMRFYhTns/lQZwp+KO4r6QaKWx7ScryrE4Jp9h/4OezhFLYXMp6mw3+nZj8lAl4zJWKKbEpOAbtxzsvlE07CPqrdLWqysoy3tmXij8cSt/1lS18vgOlVWChZ5FVQrJRx/pLcWPF7VjubF17EW/QZgixXVng5W1T1xaemBoPLFTO69w1gCE8VXqvKzoN35vW8tFXs0Zp4VrP+Tyifxryt7FPCHC4+B9mbd0L+9H9EafWOGitKrsbF3+yFomoxnSz8ulmxcIWSUMxo5HHdo/3rwM7WGnUiZjjmcT73rPUbmWtm9fjvbYKIQEpcnmjbXwqbQ74J7KEZwQ7r6waLJTZiR6I7HraLcPmzd+rV1L7f/FMqDunOYL7YLNq4Tvmv4cpxZ/zy4eVfYsivKT587xmuAzPO+73XX7adS4q0i+H9g366mcfqbTVTKlxYv/QGeiiYXr1v7tKNCvK2ZCRrEBpwE9WXnkN/21rb63sdklIVNK0zONdd92FjIwMzJ49G7/++mvQbaw3Nhu5vuOOO3g1caKd+KRUlJ/8CSwrnodj/mMoG3oZ0tKyQgZ7TH5JOfq7SlFcWsxDvNLifJR+eR0yhDKe06Br4rxS7/zAtgwyWiLRnofBQi7ipDRYjMq6mkTwAHtPylS8ssWMCsTiLXXnc2dhFVjtzs0FNRgcYnm3VD+PYaYNWFTMWpP0DmpBFOo1PxRbfOe9/ZRZf2Z211m6j9Hl09v5PHh3xghYT3pbuZ/aRiVWsKGbUAiPLRupcSaodaPQ3bYVslCDePirt3oLuLV3GaNuCcrXSnJ8LPwJ+IBcK8BmFe3lg+sxVqjAiBH+VPfmqqhR0uzLnQKSxfr7ALfEXVWPIcOYg/yKRwH1sMUOKRv9xVxc4LoH95jaaPdHcmPqQn+qos5VA8lSz7zwVvL2X9c3oaBXQ16LvRG3QilCJmk84v7IiYNwoE8lMPclxAs2rDdfhR22dYDJn47dGuXlxVhruhrJgn/k/UHDR1ghDQJwQcMPDpg6w4qi6UQBi+UROA1LYDV3aVaA7RSM+E/qg5Hi7qADO6a4FKByPzIsDR9QqD1lQusCiCx7qpsnl6cRmLOUOcqdTeBBjkWmm3mxukBVVv+UgEjDMl0O2/pQ0HWbfnkRKUOPQVYv7bZXRlICENAxzs0agrYyRbul0mKN/J+Wbp+zCStvV2qHhJP1qCdhO/xhHPjkChxiWxIxB2/sLjfu/mkLHjtpEEQaziak7QNsQRBwxRVXYMaMGVi2bBlyc3P5HEU2aj1u3DgKrMNFb4arxxEQf7wa3QrWoNvm2ajUp8FxTd3WCp989hYOK/mRB9LeNGnBXYNjdav9i2viHOweXbOBzcBw13/Ys+IDxI27FJHojLK38LhpERaU3gnEZwTNcbbqk/Gi4TWeZuq0HwOY0/x9pOvrCe6NodX7sXnUK00z+Yity8NGqoPrCwSmShfbZBjVz8ojhg9wofgnoO6f6apzYa/YD6QM9VV2TxGqsch0Cxbk3xM0n+M26wvoZTqAFVZW7Kinb3SKFTGSGxnVCjd9YjfUHHoLZHNw8CnoaudSyrjd9QYGmnZgSezLAEa1KiVdEnSwGVNgcRZrFmBnSgfRV8xFcUBlbZYp4i0G1la7kILDP59R1lsgeIvchUE1LFgr9UOxnIhDWrGcPwvjcY6cimyhBB6N52Anf3YEkmvN2/fYKoEkbQLsbtveCQquvXonNj5CLnj8AfbnxsdQhGtx6oge/LuyqQUkfbocgqezX8cduTdglLiTX1WNGMRNuBrVNQVI6zm6wW9r7/eIRxZQffSLqNz4Myr3b0VGD3agoPXKCvahq+CBXTbgl/16XNx4DbgORwyYMlU7uPaO4Efqnx0qc+SIvc/iX3OcpgE2C6gDsd/CwAPPbeGNH/+CUwLOP2IC0pNaX+OHTeFi+waTxY24WPcHgPAH2NCZIOtMcIhqRmCEBNgJgg1/by/E0TvSMG1A3WlwhJAwzsFmAbXNpuz0mUwmHH744bjgggt4sH300UdTcN0G5IAjiwnu0L1yzyl7k6fOKg9QfgC9rWNsshGPD/weLw6d06Tnixl4NBamnsPPH9jrH6WNNEMzlGJLw7NTkF+tBGNFVcp7VYaAHmIRuotFvjmjLIByyHrA10+zFl+1buX1M9XkIl2o5L2X9WqrrECxFn+ibW6Vf3f4NGGB77y3gFlltZIfVpo8CgPtH+BPzxjlDs4aWF3+x3aPVZ67T5b/x65f4e/YbZ6B/5Xdi/YkJXSDdfwdsI28MvgGvbFO4ZRkSZlLOmnNTS1+PllNRWYFqb4WT+Dz6b16Jho1KZzjLSoVOMI7Y0w2uhrbZvTKVqW8TnbBjEeG/YV9olJFOhzeMzyDIcI+vOZuXa0MVlvgG89UXhjKpm/5POTaWHaHvmwn9GU7UHa2v6WgO6BXcWuIlTnI2PhGyNsSrf4WbfXJKfYX+6qSle+e4vTxOM95L96JuapZ6zKwSxxePGMYTEb/+7hKiIWj/ymwHXIVPMnB84Fr836322HC5koDuhf8haE/HQ2tuOxqn3vBhdF7XkNn5P0OaOntkTL6vmH6H1gRc4RywaZtQbppFd/6zn/kPgZn6xZgcsnXaEu37L8Oj+ReBmnVm4h/YwicXzaSadIINoVrrLgNRsGDG/VN2ydqra/X5eHRP7aj2KYOfrRzgH27c6bv/DW6n7G9qH0LqBISlQH2fffdx4uYBfr555+b3LqLtNzu/Xvx3luPIxGNf/mxhlxe3jYWsnqkmRUluerosbj8yJFNf3I1CBWkCG7Tpe4A6Q1G7HPG8wIoq+zKbMG0mm2++0nqaOcLSfdioOMj7Op6SsjlDchQpjiMyFLmUMfsVH583Ul9oTfUnbUaYw5opSWGThrZg67YI3VBQYXdV1XbASNKZOW5RJcVWwWlMvzvnrG++a2i3j8q7G0RxlKv29OeEitmL9qDOevzg64XAtb1adc5+DTxGujl1rdvyo8bwXcEfo87E29WH4arXHdgg6RUeI8xtO4rzltRX9D5A2zblAf56fQN1yHt3eG8inJb9XK3SXq8t2w/9pWFL7A3CS7+r/aoVHOdYP8NNtmEt93TUWXK0rQtoVeFqRtKoXxG3AHFxVrDXlVS721GT+PfsdvMI3Gl8/aggzGSJQ3LpCHYIfindDRHcqz/O8QqxqHM6kROmY3PFW+I97udfZ+U7tS+vZvL7n89jJ7ACSGdSAOF5GY6b8FHlsgt8BlYhb5Lj8FwGZWsoqn7XsLu9y9CWXHd6t8tMcTuz4A7KCdjkJiDLo49aEveQqKlVhfMnkqUVTT9IIJYUwDBWlTn+jjB7iss2hYSNr6PSVsfxiC3UpxTbkaAvX/LUmz57gE4QrRMa6lvpan41TOOn79J/x36HQye+kkIqV9Yeyu99NJLKCmpf2eFaEMo3Yn/uV5v0n0D+6B6Wy940whZgnFzbC+sxrZiZdRIaKSabXsSvMWWdAYUpE7Cha578EncZfyqfrb/fPeLM4pBrZ3qnWvkHcFWX0vRXs5PHf1OCl1uUw2q2WhWjtmfmikblDSw65034RLjizjS+QJK4pQK4JK6Y6w3Ka3CxmQakGtVlr1bzvIf2Q4I2L0p2O09opJbUICFK5Zi6fqNQdcXpY73nS9JOgTDBg0Nas/FCvK0RJmpK98R2Bwztk5GQGvbi3gPAIgBAXbvQ4JHACv3rkJbjUR5K/PWOMK3jY3qjmrtKvDNdbb7B9xl+AJdhWK41RZ4WrRLeuBXf+saQaeDC2rLO40CbKGJU2Tqww4qjBZ3+KZ4MAa1ShBb/+Yw7vkTKR9NQBfbDhxMZpUhALsuDu/9/i8eff9TLPhvU4OP9363s+/9cLT88Tj9AbYugn8DWsMaop9zqRyHaY5n8Ls0DuvFUJU6IoP3e8Mp6yCIIjwBNSPGW+fDUa38drWWWfQEpYczWXFtW0XcO7WNpVg367vf40DqB2OQ9v6ooIMpnxtY3Y22NcS+Bufq/0F3oajZI9hj5p2NqfnvYve/H2m6TrFq4ZdYwYF+lUqxVkJI4yK3eTFpMqkZFXp1gQG2OoPUm0aoEzwQ/74Lwh+3Q3I1PkLmXPIqrpS/UZYVUDG4KQRbaav7VDZVQXm1Lz3bG/96A9jBGf5e195K0d5YQFdvgO3t06XcMa9UObqdWxP6/lZJ2dG42XU9lqae6bveZFJGpfbLGYgzKymgNjUNPKZiK14wvIazPT8rd3ZZfduLBaWs0jlTZvNvz/6Zys5T71p9WVngum3RlyjJ9xdKCqe0osX4y3QnbrM+H3R9SpeevDI1c/lh/XHysEyeou9bT7U1WXO51A2mF0VclrgG60xX8aJQTl0Mimtat9Mfp1eWnRBbf5X8fO0GDBqtzM5GUj40PIm0/Hl1ClhpxTta87vprlYtx1ssMUOsQKyoTYbLiv3lWLLLP9Kk0xngUossBrbHao19rSs8D6dbwgzd30HXxblKMEP3F6Y55jZrWRv2HICu6gA2C/2wvNtV+MEzCdsto3BG5Yf4zvQg+hT91eDjXcZkXtH5PWk6jtcpdfp3iz2gFZvk/65p7m9AR1Ftq/sBz5EzsEtWsqBCtVmMFN7vDd/BMktwXYzmjJA2RFQPFjMX6ZX3ZGacpiV+GsR+47x9yb2ZUt7fy8YITn+WpWj1Z2FO1LV9D2rvAMgHOAnnOu7DmuQTmvS4moqAgSwN+9HfoPseh+v8LdjMLm0OyBASDSjA7gQkt73ZKa8O2YACnTdtU21VJQtI3fYJ0nZ+CZu18ahB7/KnTYnNSBE3HFiMtPdGIG7BLLSFapvy+pTaJV7Rl/EFJ0Hp1Mp1F1S9i3cMz6BLpX90O1BOubK83cXKD3NxpTKKc9Aa+gf9QJWHjyCwImSBQbs3XZyltsWalCDc5lTWJxOlOF232HdfwW1FnqhsLzY/1lvIzK628WKM6jzN2oWUts9/H4f9dzv6fHsk2oQ6CuARgnewhmYlICtdKULVc/cnMG2fExRge1o4gh1r3Y+jxDXo4dmDi6veQZKgbI8BNe9gjVEZ9WupWDXATo33H4jxjmD5tHC9m8NbsZ9hOzx7d23EMa8vxZoDYd7haUUQ7/2umW14EaPdazRZnQyTB4eJG3yXRZ0OibHKtsmO0+bnrCK2D7ZLLW84lVy2FglC8Pdnb30JHjW8jxt03zVrWbKa4lvtFnEg/hD82vchlI68gdcbaEpQm5iSgZRpd8A82V/jwOHWLiD0dB2L+12X8POiWgiQzYVn6aotzUiJNDZDKi503o1f1FRZxggXUlCJU8QlGOfUPvVeKx5XcIAtWIJr2DfW5q3Jz2NUvg+tsgndBLX+Sxtuf1Yt3UtQu1U0dQS72uYfoCguUlPma2VjeMTwtESszVtgNaPncFx+zrk4ckzTCn8W7PZ/vx6y//3ggLsV7jAEz6O3dNZpIISEAQXYnYAU0BamqUdIvxn1KeKnP8XPx6nzVMWAIlRNqfobWMlY72l6kL9jt5I+Wbh9KdqCTk15ZT+8XYsX8fY791WqPTsDfoRtatrtRP1OHK1bi26G0D8m84XxeNt9IvYJrA82oFMPLsj1/Ajfl/Q0Bjg+wt/SGOgDGkrKanrl7fqvcZn1ffxqvBtd8pSj/9kJwcvaV1CCnaIyB7uPkO8LXsSA4lu+omy1RiXSipS0LlaspS0EFh0LJNQUwjrySlh7HgPzjh8gbvwcSRZDq3f2zjCvxnvGZ3FrzJ++be1bJlrHE58NT3w3yPrgufXeFHQtKpU3hc2YzIuFeXWzbsYQ53/46q/54X3iVsznD5qOolH6cI/dn+BN44u+y6z4nFmtcRCr0+b9bffIuMvlL0Z2QPZXJi+XY30ZP/VJrfAfAPBKVDMgLM1cR+9nKcN1AEv/mYPJKVacNiLL1+6vsSrDCWYDTh2ehROGZPquGyzmwO3SZnuMzE7E0YOVTtuiuq77P7uap6tum/MwOgOnaMZiaTgWSiOCXsPb9F/jZeOrmOl8H5EqPjUb/w59Ev8NV37vdDHBrf0kjT6X3gNB3g4LjF2jooPNOZDACOp3dVNHsO0O/75LSUEOPxXtpUH3keoreKoxb/2UtPgYjO6WhK6JdWu6NLYPyA7uHfgtPOntvWPabpsS0tFRgN0JyOqXa1nAqNomKXQxHZ36ozOqezIGZCj3j+82HEUz98B61Rq4ZbFO9dH6iAEBdnMGRZxqCwqr3DY/Wr/rp2G2+2Q44nrwwJS134mRlOB2Y55/FL6K9fhgP24xymhy16TgUUuvBbEn4DH3DBTGK21O1ptG41P3NFTGha7oa9DpMEv/GfaaL8DxBW/6rvc4lBHwybpN6CIXYYi4DwZbQZ3A5mP30VgqD/dViWeBy0ues/Cc6yzAmBDUAoyprNWX1RiisnlYqTttUq3+6LqKPUiYdzti9ikHEfYUV8M6+jrf7XILd/a8c+/0BpNv/rxvma1Mo952whxsP/NfuOKD02rTBH8esbdneThVmbvhYffFeEAdLZyuW8FbQJ3q/l3bJ6r1ejnVqQgtkWIJmIOpURFEbxDnDXxFUYfKE99FyUVL4cyeqMlzOFweGNT31E6pKw7K/lG/q5y381ZATW3TVbsHfLMPNKgHnfqIB/GJ8Qn0LlY+O7L34FVjy3PZoC/aAEO5clDTy6FW/9aCwagEARZBWdfxNUoa/Pj8T9AZuNV589ulbvz94HWaXunxnmyqZypRBIiNT8bgI2Zg0OEX8ssZ/cdjjWWS73atWjrWWJXfU9aT3mt3YSvnWjSDO6CYmz9FXGp2IbiNMUqdELFWwbNquWmBrlYBdmr1VpjXvw9DbtPmPJvF4O/tLF14iguLDm2rzxPSmWm65/3ggw/CYvFXOy0uLq5znddDDz2E9HTqp6cJdQ72XvMQ1FzwAbYUVEEwxEDt+BzEc9zzqPQ4kJHZ3X98lwVuahEnVkRJDykoJbU+OnXU+iXxEnQ/4jY03DDGz847QQMGSZs5k435XncC9riteCOxD0xV+4KqqTvVkZzP3EdiWExwj+z6+mB7i595f77/Mh+Ppe7xeDB1YMj7s1Fr79z3/moFcua+mAfxnPVuuHQx8OjUH3CXklrqUecj58WPxH1Fl+PwmFQMklf4jlCzAwbMdHNCUNry355RqHKl47CA59+ScTL6FvyKfH03bT/wjQXYtSqm7y5zQ2065tsBsg+7BK5FD/MRYbenhYGqN9tCp/ftDDMfGZ6As5SlxjZtHlsop76zgvdz/fnq8egSX7uPt6ItSgm41HmeeXJq0PUZem0ngLO03oq0Q5FYrBRuc7kcMJrrn3/eEF8/ebbjeqAE/UN/PJplZ2EVvCHOkY7nwXY/l5XG4GClA6O6Ad2DB+hapEve7/jS9Ag/z6YwuFjLPhX7fqx9EKeOgB32h10X4VoW0Kp1GEL1JW5QrQMTU/a/ivL/uvimlzSWIu4s3Ib0OSfBYQxODXbarTz4ai3Lf+9i4uYH+Pne/YaC7dZXiwmIkyqRkzwe2jVnaz9sXu4Furn8APbVrtswz3QHv75an4w4dw0sOglt06yv9RJTuyI3/VBg/xJNU8QDDzh6yU0cQdZCfIwFlSOu5gdp3ZYUrJX6ocjQA8Hv+tCs5q4Yb3+VH6idXqN8Z+3ZvxeBn47NUg8MQPh590uSCxYjft+H2NfzXMRk+w+I1Kd3VgZcGSNhKFSmteUnj1N7K2i8fq4a5Qevvvo0hBAfzfa3ExMTsXlzcFEINie09nVe9hCVOUnLmEQ1BdpghikmAYf0rv+r1dnvJFRu/AXpHx2F8uQRsJz5Dq9sy1pbsPnJMbwCqAueJoy06D3KbsWo3pkY3Dd4x78h8oYv+Gk/aQ/qNsbQnltN6dSLAnqnxflSsHloou4sswDPu9/sdrt5XWJXwPzmQGznMQsl0LuygioDeysF13ZSzTc4T/8bP58QY1Kel30G9Mq6eHQWdE9PBaqA/knKjvimvHKwn9X9FWrqnSxjhu1jft47x5jxzilnnIn9cKXr/5BuMiKwmUapuk/vcLW2LnQT1ZMiXnuHS5BlvLciF285lL/rj4AKt82xr7gSQ/hr5UZ3vY5FQdxU3QYssrf8HcZGv1lw3dC2ZS3f9mQcDX9t+PAYmCzi2WkpiK/pD6zzX2/WeE6cUxIw6cDN2GW+qPU74AEj+1r1qA4M2sdlKQfqPl51AMv2luGB4wege3Ldg7nNJTr8wcKv0jjcrP+en1/gGYG9chffe6I+o7paADURRa++GcucAti3haeZAXaorI71xR4I3oNXjaSIF1TZwWaTVzplpIfoX91aa3fswhR2kCP1DPSdqqSlbjaPxjjrP8hNPLRTBNjGyn143PAudkuZOMr5HF52n4ab9HMQl5IJFB6I6OJulaX5OLhpPgwxyeg9RjnQaC7ZrHmRs6mOF/Cv6Vbf5cuc/wd75lF4GW3EGAfHFCUNPsvqxJaU7xBnatqvHTtoVqCG4la1yGh1WXCLyf/p74byLRBevZNNYDtFbnW6WW5ZNZS+Ig1zdR0PZ/epvgBb0uLgRj0HEg+WVyIzuTN8sgkJL832t7/5RqkmTdpe37Eno6JXLwzc+zeqlr6E6n6nIy6tO4R6jjLml5ajryMP+0tSwXZHc/ZsxcFfH4TdkISugtq3tQkj2Hp1BJqNljfHUEnp8dhWMj15EAUnDBgKi0n54TKJMg901ycfi7f2Z/Denc+qP0p55TV8NH5niQ19+9Rd3qXlL+M180IsKLyTjUnD7KpAEqrqnePcx7XTf0F9fRmzen8WiCYnKgdFkvSuoHm9LKWdFdMxufVIjzcD6v75UGEPb4eih7/1lU4NAmu3RNpfJaNITuAjMKGT3rU1ON0M7AP6dUkMStKrPXeVjWBv+G8JhgkOTBk3EbHGln0dlVQphywKrRJ6CKHbFLW0cA6bF896GRvcP/DSRl6vuE/Djfo52C53g1q8Nqy6lizB4MVXw53YO+h6s1vbAJtVZA+cRxmYPtlcL6Q/igsPPIBMocw3l7jVAkZ0H5im1EA4wj4XR+q3IKWMVej3zzVuKTmgg4I3uPYWl1shXo88xxrAVP8BRV1A0BI4fSGwV29TWXUJ2CFlo7/o71essyQqRfdKgC4xDc/y8n7mvK2TvNwObTIfBPW1comWOhklrLBjKPrC9Yhd9hSqJ86CJ12ZZqNlBsa+/+Yio99YTUbo+TLVv6enUIC9ZiXVmnGZ0+oU2Io0xXs3YPL6O7GX1QtRA+wx1fPYly8WD30UfYcdrsnzlCM+6DL7DmnsQFS4JMcYMal3U8au/QfgDxf/w1RxPUxl7Pe0DyRrach2jeFWfconqPE4sO/P2bzOhtiMlpvrc0rhnSRTZW39AJan1sHV4xxPwgYTct5bixW3H9Hq5RPS2dEc7E5ASuzJR6bLt/2DjDXPoM9XkxD/5hC4bP6RTq+3P3gVRet+DKqyqXeU4lTdEkyVVvqqjTYlwE7pNgh2fSImbn8c7u+vaPL6GtC2R/xfd92HBabbkFC9yx/gqn97qSmbFxl73fAS9NXKUWvRW7SqnhRxb3qU9/W7v+p+rDNfg+wyZU5ebd50TqbI6o/GppZ9y09jHAWQ9THBhePUHeOx4nasMc/EzWWPI3AQ9RfTPbyNkl6t3BvYZszlDWRlCWLFPqR7DmKFNAjfeKaiLRiyR8N6yDUw9AvuF60zBBduY6/fa9Ij+Nl0L47vUgOTXmzdvFzRAKshRbP8bRZcsnnxrOWXXhf8XjCp72EHjBjfs2Uj783h7YcqeacxqNI0ThFX3jsCrwbMpiHsrWj50YO39mVgkTScnxeaUDSxKXTqFAqm929n89NDHctwjf4XJFdpc+Au1Vj/Tq1B8CDW0Eh6ZMDBhGN1Sqq9Tg2wWSsh7/SPpsjvfQ7+l/EW3ncf518HSyIyRxyHylE3wlKyATlbQ3/vcOoBJpahY007xHe126lNUrPoVrbHijwH7v5pCz9vtB3kp9v27g35GP2ci2HMWYCUr45D7tunInfHak3WhT/nvPcwbsnlcHzqb4fYWj0SlO9vnRD8XVIiK6N4rggOsGX1cxfY0WGdZSK26/qh54RzeJHA1mJTJlxq7ZbAUWGWddVWiiqq8PKP/+CtP5VpVM2hq8zBh8ancIX+N/SpVqpxz0s6B0Ps7/FpVyxzIU7tVBBusjkJUmwXuL37A02s77FgZzFW5Pk/0yZ766uI1z5w5IAB/xhvw1LTjWFrEUlIZ0IBdicSWLWXtVOw2irrHN2fVfOkr/2Trw92QJr0BwPfwWN9v4Iuo/EZR+YTnsaOY7+AXnIgNndRk9ezuaM4rZWiTp3NTolHqU157iqbWvlbltFPyMUAMdcXBHjnQbECSqHI6sfG+7p1j1d2Xnqnhw60MpP8R/f3V/hTRI8R/DsDpU7luUorlKJrezKm4RD7m5jlusK3TnZ33WDHZPTvIFlsedhqugTLoRTCiv/zeqR+MhnXFD7Mi2KxUe+24Oo2GTWT74Oj/6lB13cbMA5L44/HDrGP7/3nfc8OXHIDrzLemuBT1hnwhe4Unrbt1Yel3GlQmVZvCN4RHZyqbPOZ+p+QVRr+avhl1UogU+3R4bUYf2G4FFHbAFuuyscG0xWIERx4yn0+ft3deCDGRklZkOeodUCPjWAtlwbhc/eROGhqaoWGhunUgI4x1OQFTUXQKt21d0IjP4uNZEXsL/YXTiySle8EnSWep83OcN7tm0/fFKxX/JvnjuTZIF4GSxJc3Q/DugIHutesx+i5Z9X7eEl9LkkQsSr5JN/1bkfdg68t4a3DcbvhG1x/QEkRPkTczU+PF0IH/vsN/vfCIc7VEP55EFqJ36tMxRno2a7ZMmN0obeXu0yp5+EtiBeJJDUDxR0QYPe84kskz/wHphbWVqjN5XTgEcMHvstvuafjJv33OL9Kqa6+e82f2PrV/zSbJhJyHQp34JGcGZi54zLU7F4Cy9ujIX12epMea6jxp4ML6ogxG9W2woxZujuQK6fhEkfbFOx7b9l+PDtvJ8rtctD6NCb1wJ+4We9vAbgzObAKS8u4BAPvxe0VCwdEgVWlkHmmEyGkYRRgdwJ//fs33n7vJXRBcFqT0xY8z06qNXLiHYH1VkFmVaovPnoirj5+ErokBvT5bYDerNzPjKalJLmcdhjVdKt33Cc0XjBIA94fKZamWeA0Y53UF2ucSp/brOpNvsqnkvp6XGR6BX3tH6MibWzI5Q3vquzsjs5WAmeDWj03VDE/JiPwtaxV+Mtre6WIQjkJW9W2xmwWOEu7K5Xjfdtqv9yFn18UEEAKAe1DdDo9zIKL92hlzDt/CnqO+tqIaW3l/jJ8sHw/VucE92gWRBH9Ln4H2498H2c77scrMdfzedh8Xav3w1bTsqqzK+OOxH2uS7E3cSLeqpqIC133YK5H6R+aoPYXb4nAVnX6gBZ2zJQKljKu0FUdQLjtU4O2fRVuVFb4K7kK9jJ/kTcNeJx2/nmokZUDExXqAamGbPvnAx7klXxyXtD1F4u/IgYOPOS+GNvj/D2EW6NIrJua7auorVEaemD7wZC3N9KW7RPjObxoIuNSM4IMehPmS6P4iL5bbn6BoMDvY4MlHnaXB/qijY0/UD0YwHaLi6r8f1eqUZug0FuHg8mQlHoHs2Vl9HizUcleqK1GCA7satdqaI3dGcf4ztutGk2fqKcCfn6f83GbcyZud81s8qJYkJn3+rFYNrvpj2kNb5Xw2q/x5jmPY8dHVyNna+t7eLudVpyl+9d3eYecjQniFgxzKe3qxi+9HFOKPsX2319AuHjT+FkGXmFFNeKchbCVB8+jrk+/VP93+0D1vHeaVbrJgym6jRjhUuY2h1v6+pcxaMMT/GA509QUcZ07eF9v/IiRrV4X9j21XB6Mwx3PY9s5y3C7UQnguwjlcDa3WCMhUahDBdgejweFhaFHuVhhKla1PBpTV3rk/oJZtmfqXO+0B49SuGvNqfH1ifQG2mxiVjP8va0Iy/KUHzY2/5gdya6NjWxtX/SV7/LuFT/AIjhRhGScMPNlX0XucPIWoWGp2jXJg3Ga8xE8YLiNXzeqZqHvfikWZSeE/bayOYtirbRg3/JEMej18458+3rTNpAiXmVSCqMxuy3D+ClL/9yadSbGOV7HJ0nXq+ugLLt/F2Vudr9UM/LUwbvNcq/AlfGd1asp2CyNNVSv3gvFP9AW1m7fgzmLVmLVjv0hb09Jy0SPEUeiz6CxvurqTHlNy+aNbTMNx8eeY1GcMDREn+qWpzh7W9Wx1nVCfdMFWNAXELiEv/WZnreZ8zp42NOwO12aj3ixwLBbvB4ZpsZ38JJ2/D97XwHmxnV9fwbE0u5qGb3rNTMzJQ446LDDDmPTQNO04bTBNtRQw0wOOhwHncSUmJnZay+jGAb+3xvQzAgWvf01/e/x528FI2k0mnnv3XvPPUe+vkdE1sYeI+ff3exb+LvpDTgQ6lDVtjW8bp2L48MPSbdrRbdRrf4wefoG61tnejS2cZ7W09lwUvI2Y+kdCSJ5EZ3SfVuwr3oS7ndnohetifVZbE58uWobuFDbAaQ6H5Kx3XpIG+vcxYNwOMAK2rmvCroNKZSr9lnKeJoAXY87QdBy+NxEnKPPRYOSlKw/uP2wvGd9S2K1f+MJC1A8djbmC9PxhTC53f3GO9ctxJDoJkysmYf/BFTtAz5Obien5mdM9n4N3ya5XawrYFMEgW6rcXlZEE0+HxwOxMZq8j2VObG9PtgqA4rAzsqvGd30JR41PY8JwlqDfVZ341juZ1zCfos0SY8fGBtcgl0r2vEbxa3t8txd1xBXHTkqkI/MnGLMpFZpz/l77Lp60IP/qQD7ueeew9VXJ2Z+n3zySYwZMwazZs3CzJkzsWxZ+7wD/1dApciwc3FKsfF+vTGfSB1FnF75POif7gbfsLvNz53ww0k4/leNnhiOq5gTkMrWlPV/ivUJCl65P2+/bQjMlq4r/rYHaj+5n6NjqtvqemhIvlYZspnky0GtqqcQjtaCWiUxEQjKC8bmSPIX+Hl5++e5k7Av56jY42kZ8sKSeCwTKy8CTtmx3KY1eIB9BUcGv4tlstVqr0qrloSLdAkKp113PFPQZZMF3ocbM2rfwFLrDZjRkHwR2TfbgVuP7oe540sMbQ1CJym+arWBZWj8MX0pllmuwzHMaul8rvd1PtNuVqif8XZj8ahoODx021ah9mDTLI6gZRnx7/kxmPR9IZYfOnwBvipqRpTql0Tn4D6fRhFMhQ1Wmemh7/HndedZiUNoV6DeHkwqy5SE/wg4JSHYXsuq9iDMCfikovVxiSRzW32eF3AsLS9GcymZxUEEJ89gl+Bc5kfw7QiMVWzasR1s0w6s9mXiC36ixMwwO9IxuPFbSSWfYINgFL7TI2jNk1Svv2CPk9pECLYxAyTdjsOBWshCX6q2hqliEUbWf9EqvdXCG6+XPGfX+4BVjC7OkGzCCCKHKQiobJbntfXm0WiePQ8NF61Efu9hkiuFCnXcbgsRk7xvNUrrwH+qB1vQiWvq70+veQMN1cl75dsLm+JiQuARbTiZlltmMm00mLrNaFS05F1dYBO1BVFHhaeU+Vk/t7QG/bih3i4PbpKq8oPN8nqlV/rhO0dbA6NcM9tck7FRkBPpk1ZqLUEpEZcAsDa0g93SBoRQC25kP5LaoOLBR3tcgHrQg/+ZAPuVV17BM888k1S9/P3338f8+fOxatUqXHjhhfjDH/6Aurr/hAHUfwdoPnkQwYfjKOK6AOaAkINaKsdAjSZVjuZVbyNry6vYt6dtwaACsU5SCFYRDqZeOPr2y0I2+S4TOMqMwfx2mPcsIKsgdCdIQKkuyCOkEql6WKsLIj3dUwlgb4k+j6dNT8Ee1JR79djfJAc0e+p9Ma9gAk80+eW0rU6ejMxE+kW3KOOVRQ6p/qsCZepCrVw8gPPZHzE0olDTBB57GXkhPYmWbVbihWUYRqO6kcXtQVFe/O4VZGo5wdM/78CzS/a2e0HYFdGxVJR02lsJ2/qXYdn+kWERFJ8Aai/yQ7swid6MdK4BcwLvopCSWyXKQ2/jG7MmDtVRpJmVwF0RqNKDKDtr4Ls/eaGzPvNMuw/rzGPwXvoV0mMHlPPxcMBlirNSi7Rt5+Sg5H0LidoiVG/v9Sn/B1waeqPrOyeKmDuuGGnKPqq/c2mWHLT06UK/vQpPKIr7I+eiWUwtatSWddlo709Sq4a0y6zibw/gAcubeMj0CtxcXYcZBV7ehHnF9+Dlogdhtbs0my5y/FvJ/2QX9gU97TY4p8rMGIIwL3Yp8aTHd+V34DT6qVglc9fCV5AWlVlmg/3J6cdW1QoBwOLsc5E96nQcNvBROGwyBT3XdHiCgIOuUbgychM+c52HaMk0CE6ZhcRSIo6iV2MWvQIc177jWZph/o+qbMco4nFJQjIrqmjY3XFhMAMU5ohfJI1illjih1jqESG7TMjtLXZ/N1awY2JuTKwNq70V7IoGrTWpvkUe74bny0m2oixZNFPPtOpOqK4DJWUDsUeZ79uFuLmzcetPXd6XTMqHG9n5+JNZa4dSEQ3/Xpzfe9CD/zv81wfYHo8Hc+fOxfPPP4/Ro0cnPP/2229jzpw56NOnjxQ8XXrppcjNzcWnn36K/18QU1GOAx8nZCPw2iC8/NgFCJ74knQ73SpPtnYLG1MbVSfmZKjcuQb71i+UqN5oxVtVH3CIykLdPfVaNF27R8qApi+4AjWH2q6UdwWcTg2dZS1weXZKFc7XoreoOxl73heWvw+pfp7M/AY3nXyBtkIcgne4o7AdchXIpPSUM2zyBf7igsvRL/Qm7uUuBKOrONu9MhV1emghSlpW4EPz33Bh07+lx3pnygtzWun9bfAFscI0Vro9hN4fR4NWwJgMmfg54bslf9JtYq/Y4x+vPYDXlldg/SFNiOlwI1a5YlKs/Bt3wbnkb7CsehZmXVFD4KPYVOXBd9tqsbeh/eJdf7V8hHnmB3CidQNMinVc7D27uIbl7XkQbFqVLva++nYKgcfWj+4A/dyw1NWgLgpw1Vp64z3uCOyyj0TvkUej6IrP0DfHiSn0Rlg9h0+8LtNKdTjAnlgsL0ZDMMfYHwmCY4eBvk17K5D10iC8Sxur6m5iWSVRUrv8ETHxnie4MwyiTSpWCv3Bt6FlMCnwg/SXJBKbzvwq9jibVij9tYXr270/ag9mfX0NQvuWYyBbJbfV6K71knwtgRaPXJcFZ48uwgmDtW2Gijvx7ZL2i1LGY+sPL4H592Ac2LwEfzmqLx48Re73JNoPw70/x7aLpqDC673M84+8HpEyjdXTVTArnkJ2YKeU3EvrJeswdBUt5jx8J4zDHpuxp5yYHrxifgwvmJ+A0E5fcZdZvr5siCAS7X6xT3e/Kfil310IDEvt8sH7u6Y4rVYzI2Bjyez4uZdA9Hdf0UP1i+dhAq0kq1XGV1to9mnBYp1HmXf4uATZYRJQbAtqm0V2mhM5Ge1nOcSPtyrroiuwKDaidJIEc4b5P5Nw6EEPfs/4rw+wm5ubUVZWhi+//DIhwA4Gg9i+fTuGDTNOfOT+2rVaP+D/OmiFIv49rx2fzUIpgqI5ZZZzRr9cjCqWqVtZA6aj/vLNoC/4OpbZFlqhW474bjbGLZkbu+8RHYiKDCJx3qp6+5LatOGG51QRpXBcn/jhBieKkpja69yxoM1WqWJKKl85iiDc1mot0GxQLLRUG54sV3Kq6Mr043AHdxn2psnCTV+JU/AJPwWULXnfE7Hoecr0NDZZLkO/um9ij0u2YaTSKuyDlfdJllwlnBIsKcmJgDUPH/PT8B0/OqZervowvwFNFViCrgc8GAqjEtmSMBqx11BxMfONVO0NRbtvgoxR7lJQq3c3yguyqpYAgmP+aEjI/LR2Iz78+kus3STToNsDVcXXbLYk2HJ1RZMhnNYbe8/5DYfmaEGDigH0QUPAQKiW2WhB4/dyf7Aejl//geyXBoJp3NnpfdntGo9buSuxIkP7zad5Psc75ocwTKHkNlTtwdb598DT2D5xn2SIt9MK+NtOxLgY+TWXswvAhJtjPvOG9z0M9G3RUwk66gNny8Zyx0ws6neH9Hhw1FVoPOcHBEZc2eXPUINCtZJErutHuLOxjy7BZrEcZ0XuQdiWOqAlYJTv+uugu8FnDYg9Ljhlj25ap1rc3v7Qo8TfMN/yNxzf+Kb8uC7ADqW3otAeDYBp2g3aq/PRpkRMrH0HncX07X9HJjwY8tOF8vspiTTyvoSNo8LEJF9e3JL+ROx2Q80+NAYOn0jfpkPy+bcs7XgIacWH5T3VpEv892F0ugxqMNIW1ONDdBTCXQxs24P80sEYfOxV6Dfh5OTtYWQeKpMTt53FoUaZuWZFBFmUNzFYVZARPNDtbWBSgUBhhrWXIq72qVcIOfi36wbDeBVQWDne4H9G1EvtZ7dGGjAuJLu9dErp/nCwqWJMtER6vJP571XO70EP/ltw+OQ7uwm9evXCvffem/S5hoYGCIKA7GxjhSkzMxP798tVvs6A7aQf7+EEo0zm6t/WoHoh2wYdh+bpr2FLdQua6Uz0z3UavovbnQH/0Y9J2ViTWf/Tm0l0YlAbJUFDsuOQTMjsvanfIywymFWaG3uN39tkUNudMe0o6bkaTwiBKI9M8pnSGB7s1uMtcibcz8kLwRPsDphMbGzypVgaYaWK8CR3Oia6+8j7ouw3YzJJ28SDUUXOKAoMQ+G2yKUSGe37NO3762E20ZKaMhE+6pdjj23zS+5cHFf7EvY7R8ZsoNQeLCh//en9cXPteSh12TCelYO6iMjgMW4OMkwszon7vKXCUPAihQIBGEntwsOmFySbERV/McmCVL/W5oPtf/i8YpNV3SjWkvR4MKz8G5SJB+Epn4nKVe+gUKwBBQ737j2PmEwDm4Cmo2Ql1fYGIbTJjPXOaZjoka16njf9C1zTHLDs+Z36HturPLjgzTXId1mw4NpJqT9ft5DzMRkJ39m69T1QXAjWgz8jnKsFXB251lXROzNLa++vVFdoISw95vjkbEwXq7Dh4zXIvEarnHYEUdaOQO4YSdgtrW4lrEIQpPNBFfZLBlZhcBCYok0QnFmIjze2VTWitIvX+c66ZqnjtyLsQP8/arY5u6Pp2N3IoijDiiFtWWy1AUvLTsmmLOYsAEoSfLvC/jQafCQxJICiqVbHLEapQhHfd/12AWuuNOo11+6Hayjdrt9dvZYKIFf/xgd+RhNLx5gtBBtrQhicYn/8239G8Q9Xwp81XOqPTVO+lyXS3OVxl9Dg2Q9mIStQD9FkB5VeBtTL7SsE3rIT4EzyGa/PHQM8Kd+euOhc/GXbK7jt3ONxOKBaLDaFRNT6wyhM77rOhzuwG6fQS1DMDQbLDjF8Ggk+SDDmMJNqZ9vHsyUUhUw6BkzKdft/AX3wWdR/VNf2Q0nwxzPaaFGQ2pSKqfpY3zkZv7oDgwYMQkvoAuQ4ixCw2LFNKEEzk4kB7fi8fVkzcE/4UYRFE3KpTOlYVDR60ZeMNT5R+r3CkQgsXdz39lzvamKPatwBU1ButbgscjMegggTm7qHfXB5Kfjm/mAaZVFFmsi9dXF/vcGA9N1DgjznbE+figEtMvOFJU4l/wXr5P92dGQd34P/PfzXB9itIRyWgz1TnEcty7KIRjtXMSH0Irc7df/dfxppaW0vEGpoeVC2u9KRUVyGySkT9w4g93I07lgG5tUZCLtKkHvlJ4hwAoIRXgoWVcEgs0lMehxa4vo9SZX8ymP0iw5g/cL3MGLRVVhRcD6K5rwlqcbm5mZKglxL338AlkO/YjQjB09mOtqtx5vX9RrmZDnhisjLmzQLDdbtgDru8SINp8sq7YugUBidaU4wSfbNZY4iA144TTzS0u2xTi/y/hn2RProoPAazGA2SLeLcjMA5T0Fq0wBC5oy0L8kG1gDFKXJ5/L6gw0gId26aoXyTFG4LvCMoQrCMkzCsbtMvFOqTi/OLsBf2Pckf+8csUVaPFiUvlACi7n7znN1kWC2ysczHg6HxuWt+f5RnBB8ROpJfL/XRMN27d2/al8ApDbYwjMYfuULWPHta7Dv+BTHhVfiN35ap7+nzaMo5JsSj/OaiU9i39IPJZ/y63oPQ9b+rzGY3o89rlE4Nm7bHUxv9Ec9aqkMlLWyL61d66cMz0L/LAqleVmxfWFs8l+TGJEec4tyZXQ4UfPu5Hf+qaY/LjlwM4ZmAV/iPEmR3m6nYVU+Kxm+c5+OY/GudDvdKsqfHQgn2Oh09XyzKswSUqXSv9fiVYfw5I87ccHEXpg6WFPp7wzqzYgF1wQkOPgH+yKiXBGeYIivbiQ2TqSCK8cKVAJj+hXCotvut2A6yBleVbkPvXSPt/a7s0kqo+Sz7S5NnHFjbRhTUuzPzroakOlgt9+CMp3jgJ1v6fTv8Yz1SlwXelG6LdZtk4La+ivXIruwHPib5tcdHHIWStrxGRd4noXbbfTyXvHEuTBFmjHyz1+1mtyJhzqeDwisxi8rl+Dys05FV9HHsxQXmJ/FCv8JcLsvjPtAk1Tpy3CZkl5zZF497dmlmFiehb/NHoJKTgtsi1t+A/oNRnfi0O5NaDywFekFvdFroFaprmCsxCpAQk6OrMbfWewqGIHJoaewzHp97LEjw4+Bc5Xgs/ClsceODj+K9en2GIX7sMI9ARg4QbrJBqJY5vgeVnPiuJ0MlNONPaLcvpGrrP8OhuR594B9MM4NnYRMpw1LDtN82dr1LpK1nAhwVpkNt1UowbkXXIXMTKck4pkSUy+T/hP7N6JQz9DJ128dQc1O+QRpClModjuwyitCTQ+LFP9ftU7+b0d71vE9+N/D7zrAVn2H1UBbBblvtxu9NtsLIn7liaM2/V+AZLzIRenxBMG3YetSdNxf4PdWYkCgDi0/PIlw6UyYsstTbr/nQDXGendiny+IpiY/1q/9FVULn0HYUYRRCkU85A9Iz8Uj4vEqmqAyQpQFobjtshffLf0dX/UOmt23g27eD3HXGgjZA5Hr24rxzJrYtv6W5qSfc7jQ0OJHIeqlRXlzcwB0iAc5a2iI0ucudp6IV6p6Y7dYiEmeIJpsLKyhEGwUsLPKgzw2cd+OO/gM7rV+juW7z4PXMhan0zvwpTAJAU8QYjgxsePwaH25vkAUUeX7UoqAUUSgYVZobXYlWcIr57RIMZIoEBMRkJtugaoP1Jc6CLvoSjh2qrJtQ5Mfk5ktMToi8djOheZLHQrIv313oNxtAvxAaaYz6WcEQlq/2M66AHpRNThr5lRkKiruKtq7f81evxRgVzSGYY+y6DfzCuzYt0Q6VtFwpNPfM7pvFT4y/w0N4SI0NRl9nHtPOAvvNA1HaH0VfIFIrCJkouiEz6tsiaA/AyzaWoX0Uf5OXet9NjyBIWueR2j01WjKkq+vqCoqFpV/S4togZ0K45CYBXsnv3NTizz2MSZt/Kw6VIWMrOSB69ZqL678IYLF5hyU0HXYebAB2TY/fAEeXxX9E70PfIhZzCrpOqys8cCmb7rvIAJ+f0w9X3+M8xpW40b2O6TVjERTU+pxrz3wthi92CfQ26T/OyN98AkWIdPagP0HPkCTJVEPRIVLEbwi7mkB3X5GTXJCjQ7KY157fvdm0WmoAhKQ11ot2uL2avbLlOd4uEmugoXYNKSRi1KBlfd3+roonzQH+OlFQ3tGMCL/JvpQrcXPJf0Mx9dXKfwlGTQfNWwXCvowvvlr6faW9atRUNb+IJRX2pL60YdQX/E+mpo0X+xUsP/4V4lJ5Rn3Z5izNL0KFZwyFnNx5x2BC4y0iKqpbYZZd3xVLNhSg23VXun/DdPKUM2WIpaO/vImNPU5G92JPQvfxLRDL+DXtBPhypM1VwjS57yErZ56+OoqQC38HH1Gdb4PvsHLSe1IVWImChThQZ9ohSjQqBMzJLEsAtKqVFnrgcPS/cvOicVygNqec9zjC6GUqpZUw1lPDpqaRsZYUWSMDcAKi8B2eb5Mdb1v+fF1UAd/Rf/z/w3Txcuk/u/Qvl3ScxZEsa/GA2+BllBrDWr+ho8ar6nOwOfxGs77x/mzUcUTLp4JZXU2jO3Gddv/Cjqyju/B7wPk92wvI+F3HWATMTOz2YzqatlKQUVNTQ0KC+WMZGfA6bLM/9cgF2Vb+8MVTCYcQgSenYBS8RCw5G602HqhbsBcpE/RbM0q62rxxTdfwO3dhrGKyiZ5b7O/EueyP2EH1xd+NjPW05Tsc2l7NprgghteScQnnD4A/KInYKpaheDQubAPOBo0EftS4sz9K7/AiDW3Yod9DNyXfAY6Tm2VCLF15/Hmmw9KmXVSafdxs6HEr1I/OvncCnMfnMU8jxyqCVzjYGxcuRjTFaqbKNJJ901UaPQTat4Fat7F42bgn+JLqBd2guPolNsTNAR42JX3dFX+Iv3t27wUEfEqZb+UA6f0wpYJFdhmvQQ10UywdEnsfX6w/AVVfA44zthbx0rVHh6hiLHytUgYjt5UFcbQch9w30xrtx13a5+jEUwvhCVvUPLjJ2oVjBOYFdL//X03SSJ7erR3/1RaPWlvUF+j9quTvu5Of89Ao+RjvEcMJ32P04YXYFKZG6WZdvTZZQHJX5w2sjhh2yMYWQk+Q2hqdV9au9bVHkOByOAo26Q75EVXllk+l392nY7TfPNwKOcI9O7kd1Z78xnWhAXCRMn+pSTEwZni/d5d8ANm01uk4Jqg2RtABifAF6Hwj90luIQZJAXYw+g9WHeoBWNKOm9PxCmsJJIs0x+nYt9GnMfOx29eLzhOq5h1BjY6+fcUKQpF1igYfwCFTqb1c0pJnPGicTtCoyYw8cYxr7XffUHZHdhQ6cGZ9rW4rOoebGEHI4cTkFtsbDVIuT9BOeCJmjMQtWbBFJL7fknVubPXxYiyxGTLjZ/thkAfwCe6x95ZtA53DDQmpojwlXvnFwk0eP2+tDTUkulMQro5+RicEjoBNVPU267XhjZ+jHQqgFd9EzHn1HMSnu9HEoaVQO+cjIT380YhJRWqmrwoykz8LJd3j+RIcUjMQTQ6DX5a9uj+T601YjZdtPFctLtyULVjFSb+dgX2UcXghsk2mp2BOtdIyvYKnYskwURelOYdVa+CiKC1BKKwdANddv2+aizaVoHeeVk4aVTHkmzZDWvwL9OzGE3vwp5IKTjuHtzvvBM7qxpwfuZA8utKhZfD9VvFX+9TNt0u/V3y82QMOEJmSIgKw6+croaw8grw5a9CtKf2i39vzSHMX1+FMz1+TGW19U1XwEVUZXaT9F73nnscznpdbjf7p6nwv2qd/N+O9qzje/C/h991YwChghP/6+XLNTuQSCSC1atXY8IEmS70/xMsoha8pgcPoLLaaDPFN+zBnZ578AdR9idWq26qEBQJStYOvg33l7yGaN8TDK+t9oRwsFmmTr42+E08OOAT7LxgI5jzP0XVtmXIrV6I/Xs2S8/vLJV7XjdQA3Bg5acGRXM2TuVZjHQvWyDbKp/iJiKARWImpXjKKyrp5LsPpvdhJL0HNBfA9N3/iL2W0onY6CHEiX402nrj135/AWtKri6c79YWVQc9WvW2nKzayGKHCse8skNKtWRR9nkS7e4j19zYb6WK7ahIJsL2sfgnqYfU0rjV8DjJzvejNGEuazem1kJDL4TviIfAFcj+yPGg4jxZCXJ+ulHyTO0M1J5XWif8VJopV/jKFTX2zoComhPwKfKQwxu+xkm77sSAhu9hapYrDvYtMlU6GbL4mk7viycgX3seHUGiPE9OhhW7FN9XpS/XFssidRyFVd9iheVa3OR7FH/GTbgmehOiFrVrNBETuJV4yiwr3+uPmWoD97MwEl7RJgn1dRkpPH1VtXq1X7krKHAknxKlhI36ufMvwt7XL0xpy9bil3+ruqDx+cbcSVI/5du2C9q9P3+e2RdvXjAas0+/DOtmfYG0uXIIK6SXYSfdiriZAlV0jre48VvaiQliSp2B3bcPwSEXombkTbHHHmq4Do/WXYEPuBmxx27gXkt4bTiYqG4c051QEPRoatNmd8eEyiidkKcq/tkWSHBNMLUuufBbmjKsp9sTx1tOGRtEnaCnHu5IpeRIQbyEI0HfYdGe6gjUSqxIGecsLhICq4yXmYKchOks7M3bcAf7NvJFmS3xKT8Z95pexx3i87GKNsGX5jvANexBd8C09QPcu/s0DFt7O0K1u2B+bSrot9vX15/nWScF1/pzkegVNCAdTiqIR9jncaf4ArobkUAznvxlD/69eC+gcyTpG1iL5n2ti/b23/cmXvT9AW74cE7kTizJIO0sXUOtayhOCd+Lf9lvlO6XZdkxvpecIA33VGN70IP/7Qo2wVVXXYUrrrhCsukaNWoUXnzxRaSlpWH27Nn4/wVvffAWgqEgbhB9pCydMLnGV8Fiz6vp5liATeHkyYlBUUtDJT5+6xl8ys7CW3MnoHdpOdw2E7LT5CCGY5SFhxosKwvRPsJ+DGe2S7fNSvCv2ih9Ss3EDqY/+mV2TcG0vbYXavDl4xhJACUimKUqSa/gZhRRDbFge69tKHoHN+FZbjaOdCRXCx5O+qV1ArDmkedh0OhrUu5DfoYradBee+xL8P54C5rG/hkmv4g00YaqAI3+ZD9hk2h3QZO8ICX2JzWcA3pnTH1AqcKOkNRDKijWKXpYlGMhf9nuUwH9fnsdGv0RTCnPRHFG4qI0lFaW8Jj9wA+o739uTACoI3iPmQ0qXI/JuvfNcMgLFLeNQaCr1i86BoIebP0mWHd/CT6jN0L9ToV156fgcoenfr+4RW5HsKe2RaLB72gIY5D6forIGRFQI+iVlwe/z42MNH0TR8dAR/3IpZpRKfpkOyhdsJwM+Wy8NZ9yjoW9OIdZCIE2448F76GmJYC/UF2LLkK0A1uEUtSwhTBcmUrCiz4MVjrxKuoqyrOdgJLkcHO1GM/VYp+/BQ5XYv/qTcINCIRbcL21L/T1etFVhNVCf1xZ/xWq9/ZHcT/Z3qq9KOqr2U5JSdF2XMPmqKwCL9oy4a/XVJwdpli3SYfB/XQvbPXLcTBzpvQ71CNd0nogaBl+JbBJZuY00W7EE1u5SKJ/bnxiJKwE2HupXnDqWhXag0NmrXrJiBEIAg86SaI0HAog4KmHK0M7k2y8poBtgMoqSjLePstcgEAohNnW5HOFXnk8EmyB2d9keJ78jkQss9ugKkHH7fuu+XdiWsN70u00KoCKgFfyV+8M7N7duIKVKf0Ey4QheNj0kpRYWwjtnB1K78Nqf/st6joEQWMxNfkCKAnsk5h27RlxRubbAaUWkWunQUY0TgkgHVQEZ7GLEBAtSRoADjMEDr3W/VOiZDMna8xDgsqDu5HeSqeEI9ootUXsTp+Ei488B7nO5JahHUGIcWK92Bcwa+4o+VQDBlMVoANZJDXR5c/oQQ/+l/G7CrBJ4Exo4XpMmjQJTz75JF599VXMmzcPQ4cOxRtvvAGLpesDzO8FZ9c9gSLUGILr5AG2cUkV84lUFmqiTgRHj0PL3sLfTG/iBPMOtOwMY8iyu7CDLsfCY56SfFbNrBJEReVQpiWsTk5akGcW5dsmJdDOG30Gpkw8Bd0ONYOvLMIFRx5OjPxT6lX+FcBM35exTXOdJrSw8oK5UswCzSSvYLNxvpDrqoMx8Y9k0C9uOIu25C7qNwbot1AKKrfX+jAs/AqynWasIodSCWqKSCW2llAlKWz3C4YAO5kNFkeCQVGrJOqhFzmrapYVQrsDX67ciq01HuQ7xiQNsJ1pyT+5osGHxA7ItvEVfSQO8SGMd+qqXWq1Uadk31l6ZaoAuzHIw654lC/f2oizWOC3PbUYMTL5+5Fgs7OgVaVuHXuCyxkG7+Q7EXbIrQOF3vUw834coEukJE2nEEsqmKRz0WaiY4F2MuTrM01Kv560m6EG/MP0MvyiFZboz2CDW9AsvIMotApnR3HAPRmXR7IxucitilAbroOY/3oXwKcIsEHRqA9whiWl2u8bj21iKWrFCCiL0bbPZmJwj+lNnMYsRfCbhQj1kxV/W4Pr+z+Cad4L37S/g8sfE3ucKJrXcS70a6Ol3crJATZjdyOt6SuSqZO/zkRNkKqjqGkOgJBV+zUulO5vzTkZ0+pkVfeMQUdjVSSAsTsegSnOqk2tnKZioMS2UeyrangH/N4w8lztn8sjQ87Dn2s4PIonMCKyFlXPjUX44l9gcxh/C/HVGegvVmH1kR/E6OgkwZwM9R6/NC7VB0VJv0OPH0xHosIfwjFKf308BmZrDJoMKoD0Fo1ZRJJFGYIIE9N9AXZsDRA3hhU3LjPc9zbVdDrAzrQa95/omxBYaAGnUMbPyWa7ye5KuW6JSKsqitdemy69kKCZko/XeaF3QbONyObOMAh3Hnbo5yfWhitZ2f1hi+Vm43aeg62/jbKGc1gtGNiFNpxkloX683Ou5wWMtSzBL7V/ATQ1gR70oAe/d4r4lVdeieeffz7h8aOOOgrvvPMOvv76azz88MPIz5f9Rv9/gUlteI5H3IIzPuiKp4gTSxpm1zcwLXsYOPCrtl1IphlGHYWggo1SteIkLMbZ348Ct+DPEFi5kj295jXUVmwDtX9Rwq6oFWyzIP9lLP8ZVcVGr5x39nPyJKEKmArKdx6cq1VInGZiIyYnCYiqdarAQmSMgZKQwu9ZBbG5IFgr9IU3M3nVShUn4xQa+LCm7yXaXZ/gxphtmrpwiX23UOICIsspH9deGakXpQeEHOwNdU4EsD34m+9urLVejcKm5H19BWnWlIuE+my5teNjNs7juxWoFVb1GBI0B+UFR6NORb6jcFvk93PYku/v3ib5vfc3+CQrJ+lzfcY6h55GvCfdqJLeqYWyLlmztMWNYQsH47zf5PEuEApKiuI767tQa1HGCNIG8QN1DZZzZ6E3r3izJ0FI8lSTcUnkFtRmyEGgoLRgSGetUkEk53BXUJhuxbEDcjC6OG4BqRyTw0ERX10rYqXQH6sQVy6iaIQF43jAJWGJEKitHPGqvy74UaSIlQWZ9okW1exeC1PtOuyt0mjTalvJdEYeG4ilWir8zEzBi9yJCGcMwBRGbsFYbx6F0PBL0FlQumBjs1CKnOlXx/bBvv875DetlG4zSX5vLonNY7rJOK7ViW6JotuXOoR9O2X9gvZi1qBcnDaqNHaf2Jvt/022JtSjRFHcD274MPaYqtsQj4MNsvDdvpbEhIqsedEKy0Pn/05FvBB15+iN0WsT2n4ON6gUXsaEEdUau60jKFacLwjIeTCO3ibdJmNRPDLMYvdWsIltmpJcjRUQ2nmMpNvKuHUUtwhz2e+Ry8rrAVMKbYYuQxTwpfsifGQ5A748ee6LigwYZ47EAFBh8R8yzCm7fvsMDdX7Eloj8kO7Yd34OkwVi7u8a07PDlzJfIGJUW0e52llvFdYUz3oQQ/+RwLsHnQswFYnCxWCIr5DBnCiNFxPKfTG2EKIwvZf5yNj7VPYuuYH/QulP07BA4TkiogKt9gCkdEW2WuWL4Q7XaaoHqA0MRybEmBnmOWJKpfxSpMA0yBPxt2FJiXgaYkqAbYShJH1kJxYME7CkyEvWh8yvQKWTz6JHND1UUvQff9k2NMk/z4mUt9LYVESC7CVgGy8sFai3fVRghsSYG1jjXXy5nDiAsKsWNZZaDG26PWIWjB9YeRWTI88if3uKeguqH1sdFwiQgWlJGwSIHDYcsTrmG77BPNzrmv35/Xnd2I4tdugQfCk6VIMCL2O101G+5+OoERZOBa6UwRDsYUcj/NYuZqXHzVWGjjlmiOos3e6rgyGV76bQgvX008jSqUhqojSeJKcF+1FNpHPJ0GP0y61jpA2ktYC4wF52rGxIgJeCTREZcEnEFaMyozpApuAgAikPXDSIFw0XhP7IyjJkquTxa6uE7Iq08fgrMjf8GjeY9jGaNfbIU8YQtx0SdR0k2GO8DUuZr6BlTNSjotYL8bTcsuMQGyS2gNl8R9VS88KLFbtuLOtUO/TJl8B3+Q7kVk6LPYYCepqvJ1PPOkD59edVyErv0wStSLIX3Efiut+lm47hUTKdXxSooVKg2XcZYbHbH2mYpUwANmUB2mN6zq8fzk6CzMCO5u6QpxlEZP62eux1HUCbohciz3uRPbFEOzEdHo96ICRyRF7T/W6JbfDHpS7rbE5OIvyIJKkon84oSXmjNdG/HeNtXZ06jPkc3QTPUA6F89glhhb0AwfJH/O3nU/oLneqBFzOFo7SBsO8akniE9Ip8KBem1NE4nKv1ehUz5eZcReVBrjhS6PX0lBs5hw3gOYcfmT6JvrirGAnA4nfhS19jlnSBPy3bnsI0xa/QcM/Hhq7DGVvVPiWwfXojvhXZ1cT6AjGGfai9tN83CxVf49CQR1rZOK6dODHvTg90kR70FymEmmOMkaIp4yqVJet9N9sH7me7CaGKmvM8MqL46cVjNaVGqtbsJVJ+kRLT9gJWP0PuTJQtFVAMJQJxg1/TT4vlkt3WZ0ExKxmiJTV/Ty5ajjo2hc8BDKFt+ANVkno+Sc57rtp4310SoLQDbixY/mm6XJX+B/M0yavmAEbkVBnCAZxZFgt1iM7fwUVIg5+JyfjMvzxsb6YpOhOXcihodeRAQmPJ2iKm6LNOJN00MQRQYtDaMwsFbuact1ZwAHCXWVxzeOWbgo9FbsNULcoltCLJjhcULkIWmR8aLpManPTvr+SuWCqKJ2F1QBJZpN0XPsTyH2JfCo80XwpyP6YHRJ+/uIX2P/AdbSjGp2MgkRYxWbMMzJj1F7QQGCyQnRlMLvUz3Wuip1fFAhXZsK+hTI+9YRkID11i+2oI+3NyppAWan1mdODFNGUTuRHSHHeRz6++RKwwW+l8Hjz+gMeqWzWtAaVKaHVhbfKjOF4BdhBGaoeg6xCjaDipYISGfszpoWlCa237cblq0fwL76KUTKjoV/qmxVRpDlkhNIxMXOmP7rPC2SZSjUMzmo4urwaHQOGrOm4/zw86AjYTzFn45f+OF4lk1OxbwB78JuCmMLb1Q0d7m0c9oWaUCkQ9eSMYnHsO2buo8flNgn2Yvbh6tffR8v3CALKHYU+uDs9EHyd+JA67gMMpINMXxcgL2u9HIMHnF5QiJlnysNknhCpGNsDOu316P/rvmSBzPrrZAey8w3NNYY0JQxHKj8SLpNpwigdpn641vBjXJXojr19eEX0N+8C782ERJ5oujcnpomqB0j2w4cwuA8xbue4jHP/AB2Bk4CnN3nJ0wPOR0/Vw2As8wo+hr/XVXRz66o+6ei2OvhD4aw6+O7ML36NfhFCwLX7cbhbQXrOEW8QWfLGmv7UATyKJOOaUeShodZAT1MnEyag3CYGdAKi4AE2GaWltwKVAGRTE6bM3MbE5lhahI0JLIgKZyqZr+xnawTcCnMEpfdCo9eT8YD9HJ1o25AD3rwP4KeAPt/AGalh+0jy2k4MyyrzO4T8uCl05JWtCnWjGMHar3seaNmo2HwDDhoE8T5f0sSYOsq5HHVR5LRLJ9+ERYxJhQMPx55uQWI8PKiKCM2LAPPUnNwDi/I/nGMCV5RyeSHuldF3G/KwrvcTPD2HBxHFqYUUEbL9MBKgcOeOk+MDFrljSIsFKIvLat7W8zJA8Sq7Cl4MKodP9GSKHSkB8Na8I75QeRTTdjX8jJQPClpHxihfEZEBnveuyHmNR4xOfE1P16adOMraEss0xDfxU6q2iSMq/MEsEMsSVj4nMX8gg1CeYwi3x1QeyqpJKJA6nFWQ82mgulwVy2KVVH+9uVG5PJVePb0QbCVpWhmjoNKDTaZSECtPKYkMrqSR/D3PR3ePqdLwVayZRXxKCfQV3gTqmC6CtaM3FA7l3waiLXVz7sa8DNOINEqHszRUjlpoYP4xHIP6rl0iNCCJeI7ayQUtx+xa502oyHIg5zlFY0+FKTQs6E4WbRKYG1YXfwkfCYS2B+JQqX6n2azoEZhj4SiXaRwBxvAtuwDFzQKJUWKp2HHcR+iibcjzR9BtqPzve4qZZewAx5Luw1rD8oh+1gmA/+03YyduhYAlTkQD8JUIYh3FdAnahyCF74wOXatB1cqlTdlsoqM9cNvSfkutIcIm9EQHNp4RUTs3mfuQrPunOkIaN35LkT9yZXdSbBrNi4vCLW14Zdn8Ak/BdlowTRmE4RgM5oDUWTYdd9PFMArwpliBwPsLZVNIKHkUvdpmOF9St63nMRe0bBokjQp6txjcFXkJrxg/hcc5uRBA5+kBUVFBlEW9wK5KdTnW/za/BYJeADByFzo/eVseE7/GHxG1/zbU6HP6FmEOJ/wOLFpU7Go1x9RnJnc57492HCwQVJWiHJcm5zI4KLHMF2Qqc0OKtxpAcpU4xahiNNKyxaZMdv1WmX++I4fgyeFs/G6rqgQpbRrOMpFYUoxp3UWh+oakfbRKRhC70fF0Os1HRXCYgvITBCCHLEBdVwULGuCp2A6UPGB1H6za8XnELd/BTvkcZhTWDVSxf1wsQJ0TLQ8dzpwAMizoftF33rQg985egLs3zl4jpOy4QSjT/0rGsx/xcEmP7ZFslAU1+s6cNgE+NL+jmJHnrF6wtqkBTKBqFDJ9AJp+kq4hdOCZml7ioHF5sSgo66Qs75cECMCsrCJQxn0V7uOwvlzH5Yo2QeagrCytPSZyWy7Djda7L1xO3c5BtmcUoBN6YTLBJ5HJCRPE7dEr8QxmSPwnXAU7qSVKnGSRSNBvCiNXik21faZlBc5VAuCqudLHIjvMIGZ4iWxKhWiLQfXRmWbjGk6MRaCr8wnJATYayLFyBJ4tARY5KIJL5ofQxAW7BYK0IeuivlOL6z6CzCq80JH7aKIK7ZR8aB1x1UYeh7WN/gxIrJaohVvZC+QR6WvgLo/tC7skhgUaoufEZ4fMc60EFzjTKLe0Knv8dH6Kjz2024cMyAHD56UyFGgYqKA2mKmhs5DoW4b0ewC7ywE46uEZfdXCI5pP/WdoK89gEuYBWgRHZgvTIdZd66xZrlyaxEjOFxXUciUCTZzMCKOAoR4JTCOpO7P/Np5JlAyAcc3vglb/XpEI40SU4Wl5KCECAWKUbXS37Ue7HUHGjCdaBlUBdBX93ij6MRvX78CqxBEdNx1OHZyYgKrvehf9QmWW57D5uYZ+LdVO2/IN2CUpA1R6jcjCk6ikxrpyES1Wh2P2bjzX/XBVuFpqEJefuusBlZp/0nmGKDiQF1TSgaN64OTYQ43oPqMb6SkaxktV8LIPpKAV632dQT6yuC4zX9Hy7TzYMsqBR/1g5ECehnO0ecqM4CMmoYGHMv/EhNaIziy5lXMfnUoXrluTuwx8+L7MNH7rfxZinBm+/dNPvbNilUagSlO70MQhJjgY5rLiYcumo3gumqkuwqTBnxlgU04lq5ARpRQeIsMz2WQVgqv3FqRjJGwIXs2KnesxAR6K4KMC/XeIPRpbzZYB+fPt6Ll1MQ+8e6E/jccdPJfu/Re6virWl0lw1a6H/L4KvRRgmuC5dRwidlyONB/2GQ07g+hb8kUeFiLpDNCdDGMJYbk+CbjPDxYOwF1YgZqFenPUDgkC1hGGUnQLxZgH2btXLZxqxRcExysrkKJjm1HxDXJXPo0dyp+FQbjVl8YBRkmiLasWAJh0sprY+/Fu4pB8VYg0NRlvQtV3I+Mbo0hMdYMI6pMmh6KeA960CZ6erB/59D3tDFWJ4S0YhSWDsDMftmG/kgCkiUPjrgMnvTBoN86DsJ7Z8Yy9IQaSf6KitKx3q5G75lq5gNJq3iNaz5EzvN9EJp3jiFz7Jn5OPocJVtOkAVp/VvnYudrF4JXKqix3tJuQozyqSwkzbqqEqGAm5Q+a6J2TKq6OenONkVvTBQlLbCvZj7HTexHSA+33ktmD9XErMBc1uQztM2qJUP0xeVNtdrve5f/PsNrLIoyux5PO27AGZG/o8Y1FH9mP5D8vftTB1ErGqvsTIr+8sMBtYKXKsCOKc0RWv5vL+Jczx8wNPQydriPNGyWymc4VRtAQBGTIygK7cTpzBIUBNtWau6IeJoevxVciOGhl/BheBIEUd7mM5vRf7Q6ACwSZGG7zix6XIEDuMf0Fh43P4/rx7nRN0cL0lglcLC0i2zcPjzRMg0DKu/Ew/6TYvR6le6dDK8cKsJNO4egyVZmDKLVvxQj92HrH+ssYoJNxrzw1hof5tLfYA77C3KaW/eLbQts1Is8qhl2MSCxIEZQu3AP+waODX4NEl/Poldii/VSrLNehWzPpoTX69k+DluckGPcfkeC3rb3RwkYmSTXkk9hAb3b2C+lyFYopHhyhyCzh3TgO/l7fMBqaT0/L79n0znfo/FCo2J0cLS2+CdIT09OqZ+H2w33Nx7SWFKUUiFvL9RrjKrdhGsj1+Po8MP4caexPzrCCZJfNxFo81TtBp/ZD76ZjyAwTvP11uNE7zy8aP4XSjzE3yEOSnUvlb1bWGRwG3cFZkYex87MmTjYlOgDzofaPg86i8pdq7Fv3Y9oaTDOUbUmo45BV7Au62TpONeLWjg7KvQ8Tgg/KN0OimY8kP80RodfRI1Z84nwCZ1nmsSDHnwa+OOfBjv0dNgz8rFw5jdYerTmENIa6ugcbBLLUYNMqWtbYiwoY16EtmNs6DmMDL2AKHX4hVm5sHZ+u2h57HApfusBQUm6jzgH5512LtwO+fGD3sTrdmnGqWic+xs2F54l3T8cAbbam76/RRv/A7w8J/gDPfXrHvSgLfRUsH/nsJjN8B75sJRRdNWvAbO/BnzRhFYpZ01eH0o8mySfSDJ0rlq+ELUr5kkLjf4ZckXFHNJIpv2PuBj4/Bvptp0EiLqxVV3s1gchWVX5AsYAPDxoDpjmPWBrNyDAZmMWIy9SFpmPPmzKv62B+EGnwwe7on6pV/ZlKBFvmM9BNHAI64U+IM7ppNqTzLNaj7LGn7HDqtlorBda91y38NqiSlVUjofZrAXY27KOxoTKN+V9UCpXhHqcn2YDGrXX9GKNnqrSd1KCQZGLSgEHAU2JCSJJqupod0Aq0keAHMUnPR56X9pgSx2cCOKyo8dhQBzTngiEmXTHJRlIb7pajQkLtNR/JkEJ6vSKxx1F39pv8KbpY9R5pgFxQQABEff7h+klHBVYIx1j6bvFsR5aghwOeSLSSLt6fyMGddD23axjS/xp4/Fo6vcJuHTZq95ktsVYD4TJorIUugLVHo6wLnjyXYgYYCs92KGofOxr/Jxkd0QUl0nFp4IqwBdF98Fus4GvWof9IRtYi1oL6hxUVo0YZznkDGsCQOlNskjh4VBRv8z7HI6zfCHdXxtuwEhqFcaatf7HIpdaX9ag9+Km4yjiBMvSZ2Nyy+e4MXItzjO33ZPfIjqlRX+yZNWB079H9vyTcV7gbXCR08BaE50BSCKQgDHZkE37pDaD2FdVKKcdRf+Zl+KNb/biInyOzUNuN1gUEmFFInT1S8kf0Z8XDOOtTddyQzx2rcq4qCbkkjGmTIqPd0fp67OZX6X/BIuqbwWgMUfMJga9zc0YIuwHU/8NnAu/BZ81CMG4XnAVjGKRR8UJhREQdhD5Zfx+T9LFlL6NgCSVD6aPlQL/Z80yfZ1gl4eWtFC6A8LP92NceCUWDbgb6UdrjAz7Wa9ii7cRnvoDoDcuRm7ZMDhcnbN38tEu7BKLpUA1W5QZbk1IgwNhVIqZiMIcY38QlomKo6hVWL7mO5SPPhaHE0Rb5sQh7fdoJskpcg5ewXwlJbSi0fGxc9JssaGJSgfpHAl3g+I7rwuwW+ylaDznR0KNiokouhBErg2YUKZNjtEa2Q1AD0phM6lJPH0bR6cRo91rZ/ZPwT6o42bD5BsEYyq5Bz3oQTx6AuzfOxgzQoPPk26KzwxFJiVn/xudA+DJGQvHCf+Mbbpi0xas2bQBeeYwhutoYun+PTiJ/QbrwvXwpcsZUGekNva6aMlUbGUHYRC3FRV9L4Zn82sYyskL2fy8IoMID1mMELsvvYIn+94pSOObsGfi8yhVFmG02XH4JoJWUFjzI9Zb78AGD+nn/dJI+xZ4LBeH4Fr6B5zN/gyuKR+XcDqqXgpBsni6Zq/s9LglYtz2usVxkCPV76QbxW7+2FIo9RESmGhgn1X+fSOiUYX61qa7wceRxNXeYyZOoG2fmI/pikI6wUAya3cT+AGnIhTxwubKStoFF9XZHQ2kK7DAejuEEZsNtiMEkXCwzQBbr9Kt73mNebq3swqeDKTHmfTFL+M02x89pvfJQvqKamwSe2MMtVN67LZZRqX3xjXv4wL2R2WnOn6uVzZ64U6hWG/RBVQkkfSE9Vo8HblLqyZ3ApzO+3QrMxAHo2kQ2dREy1Hh5SilwwgH5WCp3it7JFdH7bh7dx/0cttQlD4EvzY04Z60zquoJ/O0V2Fr0pwIIkzX7OcylcObZrdjjLlB6jeUQNEY4eaA6uQK0do+6kLuJL7n/S54FlNevhiHQiGcSrdt1XV1xosIRnn8250oWZTmzpX6qXOZZhxIwjIgDBBVn4M1W2HjjZVSPs62sb0g5714zTPYUX8rBuTKFcn7vt2OOk8I8xRF84d2FcH86nd45QrSmCOD9siiYwRRkca+0xdh4PzpUlBjoKvrrpO+9mCHdAuS9Z6KXDhhjJTGijBANWyH7dB6rBH64o6V5XjzctJSYkSJywRi916qqNXrsb2Jx3gi4FdZh0GjE/enX8OP+Ae7EIuF4eCF3mgyF+FrYSL2C++hlJbn2CZTXrcF2GoCm4q7ZtLceYA7D84vL0IvsRIrhTfhGJH43dsDlT1BkwSE7jQ8KOZgcvgZpFtZjFESv1bBWPmc8OulqBvdvlag1vD9pgPYVefDxL75GFUi07zbi5G+XzCE3YIb2fnS/X2RezAt/ISki/KKIwdOyyG0hDj4IhxyE6T8ugYhrBUkiM4Kn6XNH0RFn6Df7pdhSa9CtHAihLQS5IS160jFisoQ/vLKClxoDUhtNIenB1tlDGnjWHXmeDzOZeFYS05PgN2DHrSBngD7fwhksaUi07cd+6PpBvEb594vcVfDU9jO9Df4RIpKMEwo0abe03Fv9ZNIzy+DHNYh1g8kbcOF8evQB/BpsxczRgzEwGI5U0wplRBWjGLF+OcxccVVkpDMC2+9hDt5udLqb5AnBqLurE74qiBWd2FAtjwhlmanSUTaWOBF9iMalRavI+jdUqD3W6R91ZKEalIKOyoVKuWLoCkkImluXbcA2kmX44rInyQRk9m5U4AtSErVpUunJNRn/+R9GP0s67Gr2kh3JJ6eejhM1GETmImHb/r9rT4fUlRnVWShBcGFN8NvNrIuokQEytW6gByv2KoQsDql5dJMB1ALlGW20w6pNeEcKnmVb2BgFTJoreeUIHvJHWiZrVmklFd8pL1fJwLsFr9xQRqmzDEugj7ANiMiiReSk9xMcZ2+qo6rfQF/MP+EHY0X4UnHH7DF68XjrtQa+X+JPocccxMOUIVStTut5ldE//06ajLPJctnqXKlsiq6kOuQoVaH41ggfLC5zaRYe9HHbQL2AuV5GUCzxhCRDMviNRmS0IIDQUX0jbSXpGKrEA0KharcFt68IEnUpoD0t7fmY0wq1CqzwmS2YIXjSIz3/9Tqa9oDwkYiv4U7a2DssdP33IEcrgpPCqdL2hvfWG5FVYSkWrQAu2XD58jSMQXMNtmWiOwjoaurbTwqu6bKPhCWI+/p0L4lvcYUIb7YNqFmjArLXt2i0mJF+odfDf+JEJ4TXu40KYlopyOhGYNTxNiQolc8378F09ifcQ5+xvfVJmwrknvNiaMEAbHL3O0c16oLxeHQw0hWfSdQhTO7YtNV1vwbbmKXIpeX+/v3ogj3ml6TWsv+wZ0HlnHjZO+7uMK0Ahahe2advqvuwHn+n7DIfwP4vOtgeX+2dB4Fz/kSrKX1pNsk3/cYzS6P3Y+EQ6gmZ6oImFgzrmY+g5s9BKH+FiBLbvc5XBB0In4t/iBeXLYPuU4LTh2uic4NbfoB+PEH7J36FJwjShAwx64iCbuEQik5MDuwDD/Qp+CSyC3IdxeBnM1dwQr3SXj2UCkmZg2KsVQsCqMqlcBjD3rQAw09AfbvHLUNDZi/4HOYrE4QIlxriw01YOCUgCFWZVZWvmQRWV5SgmtKjP1Zn/74I3qHWFRjFHYFM9C7bzmmjrAh26kFNLTJGguwVSExIiRzp+fv2ht55D6wEGVByN0fj1EXwewqwjnoPtho+RhYLcSlV6Z9EwEUsrC4+eNNGBNYhYFmJSMsivDae0l9r09ypxkSDHqU5xkz5PEVtXik6QLslKJCFIWwSC5HClnhA2gEjd1iISibRtvzRYRY/pwn4llTEsVpXKLcQ7qPS+z1M6AbKeLzN1SBpSgcOzBHouvFo6goscJq2/o+qBxjBYWLGBfGycCJLB6NniWJNs3RJT6ynfL5mGVj0caR6LCHrAq2Uevv3ppzIgbVfWXwhJdeqqtoip2oKsRX3xrCtKTsLYFmpHOPXNcUF8LkvgUIb7KB1lvLdBDOaAN60zWoEPwxWqeqopwMpFeZiNT7iWMBX4mR/sXS46c1vICVNAe7kI2AfTrynWZYuzjb+Jk07BXyEGCNSZeM3uOArfJtOu54dRh6wTxdQD24IB2IGAUeNx1sQP+4ThwPHDg3cgestICHU3zEKHEb+tPVgI+k2oo7vauqMKLaKhGPqC75RJggksqz/vWdbJ+wfHEp7KFqHDr1C5iLRkmPlYsH0IuuxPpBf4XA2oHNCwxK1QRN2zVVZKLTweoUo0iiTKWrq6ymHe4jMDhb9XhIDufPt0nsAv+EP0O0urGH7Qs21IChtMaGoeLOiZaGqpiLgUlnM5fS1imW2Ekc57dkzMT3DVnItycPkmldEsYl+pAW2IcT6d+wUhiAD/gZ+JqfgLHpw3ASugcxhliKJLCkjyDK4nydRbl3Baayn0jvQ/AtNwqXMt9Iib6nuNMlzY3CaAUmMEqmuBugtmaQaithcrs98oDQHAm1GWBLSXhdi7qZ1s4D4iBxjLgMfdm9WNZCkiOHN8AWdYkZh2cXnCsfh89VBAzX5nbimU7mt4MNLSApLQdrPE8f4s7FK+bHUE5XoyjbjVNmnGdU5e8kapl8/CoIGGTX1oN2KoxSqhppYXJeJ6rz96AHPdDQE2D/zhFt3Ie7Wu5CQ0t6yux1DMpkzyuUn9iCQln466u7eozb+zRGMmvxXfmdKKn5Abm7HsPykouQNfIUFGfYpP+qCI9JjKLWn3yyNvtl+6sIzBg+ZKT0v9uRJEg6IvokcsUGXN7yLi43L4g9np9mgcjKgdlKYWDKAJtUg/So8ovIbaWdUm9zoSYikmEs3oU3zOFB/iWcZ/4Jj0TnwMweKyU+iG93UKfm/FPmuRiRnkhdVqts4XDrImbVLYF2Kax2FITq+fT36yUF12nl05IG2KSvbcngBzF1i7GvWfA3dDjAjtBmPMPL3WDn6r2B1ephV6hyqqhWXM+viuYQH9OQJsE1wf4Gj4HSrWdodIa2J+go8ASmuMWif/zNUoAhmOw49dDD4CkTPir4C47v8Ccp+6guVBkzHBYGaVYWdAqRNy4Slqx2CFrMeUBQo2o7qRCeMv8buyK9USKsgIVbAC//IEKdtIYi+MF9Hq4+cCQuz+8FOayTkd97GFbZpmJscAkooYsBts6apqIlFFMrJ4mxA80Rg3q5kCSYJ2Pbr8IQONjU/ut/Yech37wee6OESdRKUz4fQcZn50g6Fy0nvg7EqZATLQMirkcqwIKemq4gqhsDWJMVmcF9kqwpSS4Gx/4RdptD18jTfvhDYUlhudbPxdIDqiBe3ywrTI4MYLMcRKvvH/A1Y0RwuZSMISABg76lg5xLxI1CghIUVnii2PjV5xiTx6Lv2BOSU+A3vw0GIvYNvBrZJMAeciO+PViFF6pOj20Xf054/L6kPu4k4ZDsePiDQZA0Z0sUiE9dHXJPwGt8Ic426b0DNIwusJOGZAnD8u2IVC/CReZ/YxE/DEuEocimWmJCnN0BtX88lQp9TMiwCxXsLKtxfLAgKmuziBw+t9yF9fww5BGBOz8MSvaHE7SuT57RfVfiFNIW4jUAmIgXd7FvSbolJkyCh3FKRhFCsGN6AO1BoU377Z18M25gv8e2CKkX/xXbzliC5kNbYVn7EkaFV0BUkzUKdfsHfhT+wZ2LifRWXTLfioHlHaPItynyqdNR6N24BL9YbsPGZtJkKOvo9KAHPUiOHhXx3zlUiqxKOdMjob9ZmUQ5KkWArZwO1rXPw7T0HxACjYbssM1qQSFXgVH0Llx86C6c/NVwVC1+Wd5GqUaw4JC77l9J99WhiBGFqcPsddEKqhTV1hq/YOjBI3T6y1ktuCbIsDIIK0HsuFIjDcuAuEqGSo9PBb1HrGBNPfnN7C9H6X1c8vG+xfSBLOCk9GeTY6siga6qoFeWvEgtS0+9T9uFYmwNtN3/2RmQnuhN1sux3XoxzK1U0WlrogAasTEinsYEz3CnINiOHlW1Z5gofVM6enBLSD73W4LhLvfjpjuSV0B2NyYmMbwBY1KAMDoIvuXHYrNrasd3Io6GbFaEzVQcu2Ychv00FLu8JiDcAjvvwbdbO7+AjQk60Sa8YX0M66lzMH75NWiuT1TK9/s0CvW8gjtwb/TC5Of+YVIR75vjwLTyTJRlJv4ezvKJ0t8iR9co4gurGGwRSrG01oTmkC7wIVVSzhh+iXHJj/YozxNkpsnU6Bxb6+EtUQA3Va2A+dAyRFIcOtJGQiAk6cGOiDRe5Y7D2/zRYFgWg2iZqbPGOgmBCbdANHduDFDnDb2gnySIB6Bg17vIrlqobKftNLFDJOJnKmrNvQw2ZhSxeFRQYeqNn/gRyG9eg+v2XYtJy69Ec21FUgo8Ca4Jquvl5NxF40tw94nDDNvFV7D5iHbdmsVImxXsZp9cZaz2Jf4INiWBSFqNkkH/vcj5T6wICYbQ+yShMyKSiEh3NevoKOIp5qjY3NSFIL/MLQ+UHipN0ldJo/wwKclOMs/2E/ciL10e70nVvk40FgO6Uj1XERNLZcygdSwxoR06A3pLUuk1oWZcxi7A1eyXYBgGRbkyZ2hgxuFPhOT0n4Tfcs/FfZZbsNh+jKEdLyu/DH3GHA9eWW+o4w3LyefL0cxa/GD5C+43vRZ7P1eoEpat78O819gS1hn09q7EBcz3KAhp9muU0obF6s/rHvSgB0nRE2D/zsErPWQq7VuPeIVu1UqEZ6xoEp1oUTu01cqaSgld9gQy1j2DmuoKw0LJJIRhE4xCOSTrKr3U6paCiMUYhV50vfTYJsZImssRZGVyi80BKuIDW70abK3m+dwdqG6WaZ2VusUR6QlV7W/0IFXigER9Aib2Th1gN0WMi2dSHWoNMvVbBt+Kf2SfbPn3sOrst9KjtbFqLBGaa2sx6LDIi1YbI38/UuHiFQspgvui52NW5GGscMc7aB8ekEWvCiaJirIKf1o/6XzR46BzOFpOmYeT3F/gXcdFiFqz23X+D6L2ox8tsyNUvMfMxojQi3gUF6OzKHfL+98nN5EdYvTBNlL0DfdNcgDwCnc89tmGdngfDrjGGuxvTHFK0aLyP8zxsSDL37nWWgmZSjUqw+mQAhNSdS9pWgbTB7Klnx5plLzQ41gHWJMJi4Vh+JSfHLd/dCwZ1FXrmDNGFOLx04Zi1qAYST6Goiy5lSK/axpnWJB2Dk6IPIRN+WcYklgHmsMQ45T4G82JVUsxUC8tSk+ijJZVhm1Ua6c26OzRqC74SxEgxQLsJEGK1ZmB+ol3o2Lc3+PaKoDmYDSltVdbUMeeZH29JbU/oGSTrJCtt2vUjwsE++xDJVZAYMSVCIy6Gg67lnBrHHI5Pur/OI6gtbnBU2cUQCSI6BgutqB2/ZvizIozTMZjI0S11zkZbY7U768eL7Hn4rboZQilJTpzuNGCsdQ2ZPllkcME6MZ7oo7eL0tOkGVR8jhBkh6X1z2A7gKjXHOpKthqUl3oQgVbZfocYMukJMoQar9BfyCd2EvFksQCcihjJTgc7Lrlk1oEIN+TnFck0Jd2rRWLQRX1XuPnM0rPPmEukfeyOWVOkpVPvp/PLdmLO7/aClHvr9lORIunoM9Zj+Dqy2/AhGL5GiAsJD1iGiBKUEvsRFOhqPo7pC28GfzSx9BVnMUuloL3o8watZ9Srq1B/DaJddKDHvQgNXoC7N85eGWRplal9YgXEFMztT5bET6e8RO+OuIH6X66TZ78XFZ5IA8qRLho0GPIgk/cdj8GRjU6kvymSqa6qBxZF7yLfhe+CJNiDUMpC1S/KA/KBywDUHfVLpjO/xTVe9bC/fEpiHxyBboVSZSH32HuwXzL3xI29YYi2uIxzrPWsJ1BOg6g7K0HgqzJhkmhpyU/TbMluXUVwaCGb/GL+UaMCMkCPARZNgoRxd/5RWhBzmZ3CmsTZWHDsS6cEr4XZ0bukezIYvuifL/WJumugHidxz6rlco+m1mGBbaTDY+ZDv2GzzZW4f4TB+Kzy8ejf27bFbYCoRYLLLfhc9u9hscF1oYWOLvMlpDaJlL12Cfpp9dXxAgyLXLA2j/fjVJ3x3ujm9lsHBl+HF/x4yVKYHzw0JuqxjBqD7hgC+iAnNj61Hwn9m+Se6E7imKX/J3KSFJBt0guExMriKaoHCRQ1nSpYrtTLMYt0aulxMYfI7ItEg8GuxrkBevWqq5RLB2/Pgj3e8fCsv3jhOeiJdPhOfZZ1A66DDtqfaj1dm7xF1aq1BaWRoB2Sh6+z3En4wXr5ahj8xESTXiWm43Roeex35UoQMZ6D0qL0uvEd1J/hmhql5csrwuwmVSCaSaT1EKSbUs8F50WFpdM6IXLJxlbSezBSlz93Ec41NDSpaBNb2OYKWjtHUsyZScKRtcSoXrVq+CV69I/9W74J98J0aIlkU4fUYi/HWdU448P0ONbSFRtC9f8M5H9srFvu3TwpKRJ6QBs2JSjWSzq91ePHzER8/ijIDgS5SkHtCzFR5Z7Mbvx1aSvrVC8hNXzP92a+DtlmLuPIn6g70X4uehqpBX0b72C3YUqMrGEJGCU34AkffRtNU6bDQFOHgePYIwiciQBHNK1PnUWsXY4JXlFxp32Btj+ONaRx6toLShJCcEsM06oMGEH1eLrLUaG0Hcr1mDdtu3YcCjRNrMt1PsjqPKEZAZETFTTuPYgloHS5yvJmoG5qdcQ/rD8fRu8bbdXtYV0ZUnpdmmfl5MuHwuCnV/IPuc96EEPkqOnB/t3DlUFNUqZsBl9MAS7USNmSK1uLXAZ+kFVuirplz5lmKZSWTTpfDSOPA7ZJrsUfoUom1QW8x/ciGpHJsytVJ5UX2cTQ6NUoW5aFK1VK+RBfj09GGu4MjD2IejNWiHCirCgTIAcCWq7DzXm3viEn4KobXCsf3JAzHtHA1k4728KYTN9BEzhRgywp/bR5Ox5EgPATfkQIQIk5tZVxFmWweXHTkKIE5CliG8lg0UIxaxb9Jn5X/jhoIUw6iM6qrni6x2P+oAAYpxW44tgvTg4QcjoROY3vMIf320BNq+jzap9+ckwtCANI86cgeCGubBtkj2/x4kbce53O3HjWAfmjnBDsOe2SWM1KSJ2esEnApWh25Xv6Z3xEHxH/EMSv0uG+IWQ9Lmkw9V7CJY9CyRmCOPZLz1+6+AWREqDEH1VEJzatdcWOEGAF3b8IXqjdH9lXFB/b/RR9LXsxa8NWbFqJkFw6wJgqEy37xDUQIg2YV9zBP11QjvxIAtOAhIc3ZS+GBelfYS3/WPxLn9ULLlCWhY2B+TjF4x0jVZIbJ7Yhi2gQzrVcAUeey/UZObh39+uxtqqJbhw8gBcMinR2qotqOq4ZobGvJybcFH9+dL9WaZsvJlxHa5o1JQZokl8cdW+bI5iU06u2xqikrXT9soGTbCuleRpRJQracnQcOU2jYKf8AZh0MFGSVeCCICpGE7vxY+WW7CuZSCQo+9mbx/USq9exdxCEkvKNZd/5HXAxx/CRAvKDKAFyGS8JNZNw03ZIAaSpIpOepDJ8VbV5vW2RbGEYJJASXIZgNFh4UBtPfrzPix3HIUJ/h+xwTQSBUPk31BvaUewny3D0vyL8c/9faSEq35/k3rDJ6H957pl5kSBrpdWD29Ao38HCTsqSaW4xEkh8Yw+PBh87FWtPl9ffgYWe6uQUagpwncUGw81SraS/qgQS+w0hgTJrk8CzWJrXRBTFbV2FY9Hz8RT/Gn4hLIbrQg7Ac2r3BTH7Gg7wKaVQsTD0Tn4TRiM220FhqR8TdgEMpJE18/D+lAEH/IzMKHUjSyHWZobFplvlHQQvvQQO8aO9T+//uMK9Nv7Bs62r4ZbSXboW8qk+6pNljI202MuBTY9n/T9KgZcgbJt96QW7OsA1IBebzeYna4lwkbWfoQwjOyYHvSgBxp6AuzfOVQRJFLBzrvkXTQGG9DC2/FrvRnpNhP0es0Dp58LT1V/DMw1Vl5ESzp4i0aDDdM2MkNh+q4HgV0PooJqJSCIr/SKAlzKMqUPt1v6yxeMxdmn3YNAhJcytjYTHaM8JqNqH05sSZuC16K9cHZmIY7UK6fq8CZ3DO7mLsFjOUPwKl2Aai6M111GJXU9SMXo5MgDWGK5QcqUm1Ipg+swe1g7nE6T0PjMOX1xK3MzGsNRWAjtTTncZjZ5j+dGfzpahFJs85ANRbxjflBSTffBjsH0fmlxvcpyDVbVnAHg8Geg1aobCchSKqaTyTvik+xyQgPnYG/fS9H08xOg+BDOLi7ElTV/gv2dNWg5/iVEyo9vnyhX3HnYy78eD7AfAs2kmtW5xeMdX23Dwh11+NORfTFnVGHKaqce+6kijF90Byz7ZHYIQX3mWGQv/TuCTTtg3fEJmk/9EFxe+wKb83P24uwZO/DMDifMvVR3dA1RpRIoRIJSkk0y99U5BnQUUVsu6LQyqWrjjWjf7wvryZDC9WgQFBeAaMvCDr4Qlb3uQFZaGsaE9yI/sh4XMQ1YJAwHo/Tbmk1sjGqt9p92FpsPNWIMgLVVAQyME/Ndvr8Zf/18C1ZarkGOtQWL950JTHqiw59xRcM/8HfzFuxpvhXrKK2Xl/T3qwEgBdlfWq2E6qFaX/GtTK1qckzkQu1KVpFO45RIFVyTOaFqIwo+OxVhRzE8F/+GtUJfST9DRWeFrdSknZ52THy2obBXMjIyERx0tsGzPWDLx+zwfVIbzoVHjMIJg+QE5iUvfgtfwIeHzjkCAwtlJpDjq8tgPbgINKWdw8VpiceT01X41XlQ1R1pQLrUsmCnzBKFt8EflfqzS9w2iMp+NoUpDCnNwwWjTkNw8VpAEbiMx1h+HXw0D7NIWnSMCb+CbDmgyjJHkwbJ/3Ldgin+13EqsxQ+Og313lAc/0lOhPxfYeAxV3f5PdRWtLHCBulvaXQ3qmM67UTbzBYTViXYzfYB5nyId97fA/gj0rqgq3APmomG5lKUlfaR7tcjQ2ITtcca8AHTjfB6mrBNLIEHzlivfYCXr60DfloKsDP4BtzHyv3OlS2jpACbXEOqFR4d7TjVfU7dUxjDLpPsFXklQ6VWrFWscp+IefW9MThtgqRULziTC+ptKrscZndRcv2dTqDFH5ASgM0RUixRoLPChK0VnZoe9KAHPQH27x20MjmTvh3Rng3eni1lg0/ITd7vg+Ip4ANNYN87TfLBFs6enxAIRYi3p258LhGrUn6+ShPkgh7kvToswZrFO/1+DM0dKeWI1y/5FNFNHyKQPRrDxh8TW6x1Z4jNKVUm1WOVwGoykVWrhEPIwwc51wNVXqmHSq14KnaPSdHLbUNOXi+cUXMPArDijdY27gDKCS13u3Z/W/HZyEorgZWV+wvfo++MPddfouonWoZ8kX0Fvqo9BRfYnbiSmRdTGCVVcBUZlB82zmg5dLig9piT6lNrYBq3wz3/VLRYCrBh+tc46vxnpMf/TH6T14B+hIJWWY/SxLZHAxq9Ael893PGczg3fADT2R+xpg0abmsg1TVy+qTSq9qUcRQeC6fhO4tmqXInczM+OmYULPt/BPPDX+EQvGiqr0I2Ddi2zFO++452BdgkAZH9BfGTBu4YcgF8UxMN7TiycJXYhWGZuqvuayeDp7PqL8OWWi8e44agVFdJCSk6AllvTgAdakT9peuxzmPHgzuGYGp5Jl7MlynkA+iDcuKJ7BdZ3FKMrge7a1WVVMkUAhfXhOPoFbH+zlFN3yStRraFTK5Wsik7REWloHo8tRVHMOth8o/Ar5ZpOIVegifNz0rbrm24lHAIDK/vTXy0JSqlM6XPPN/OHmxVoKm1YP3fi/dKzgOXTuiFXJeR1XKgrgkkNVodECXVb6uJNYzr7aHPJsNT/BmSW8QsXVJ2zeiHMXH5VdhDl8JldaP5iEextdqL0IEmjCnJQElWBu6//FxpfC1K11olXhHuQJGlBivr3wYKj5Ae21HZgJE67+pdo+5GRsnYBIVvPUVcPVZq5e6dpgEIiCNwgrAcd6+XmRzLiucD7vHY5xqD9dxsjKR2o2bt56BOngvfrH+n/L6Pio/BZQ5ic4jYCMbqshJEYklGfktdX7ceLYJV8oIm/2+0N6Ogej4IYX9X2gSUWUOSBgmx2OsuHNz2m6StklM6DJY4/YbDhffTLsN9Tcfgn453MYiT55urTA/imOBXuI79DLs8FBb2uwbzKnPxvPkJ9MrJQrM7FzbTPknBOxQm10HXRDfpGXdIv7waxn8340tp7D4mx/h7JcM2lOGQqCXAPQrrgATYZDjdUnAGbt09BLc6v8Qp3LfoTx1EtTeMYUpfvYrMxjWkRt+h/WYF7bxRBft656QZ6s8jxh6JrL4TUa5otPy6rxFaY4OGogHjscsvHwFWXeB0AVXNPinA3tccjaWoiTuIinC6nMzoQQ96kBw9FezfOQYOnwJfxt/Qy5GvELPbRiAcRZ8Guc+3WhCw+JevUbfha5iLRuKUM69EhDbm2A8VnYj8Q98k901VFrsk6xofXBPadWjYxQAXAtO0G73rf8QwZgmWRyxgWNl2hRW7N8AmPsJmRGGiteWZpHCqzD8eNlMywZK2FUmWuhEioq1mgMnC+8Xzx2Fz1QCJGq9Xr+4K0mzawvPO6CWY1OsUkByxanVV4GRJ46CEEiFR1VlVSCdw8i241TRP2+e45WlXg51UyDDLn6+34EmGCg8nBcbWUD0+WbUTR/XXFkI+Xj6nAsG21XUbvX70UbLs+g5n2iwvJlm+84vXE5vfxtmmreA9lxAOQsLzllAd5pnvNzxGxHWunL8TVZ48/EMYgCOwKsEGJhQMxOLg1hDev0K7k0ITgItVQ4PYKPbBZGqTdL8svXNDu6rKbmIoAwU+z6xUCEOyswBRtw5EhsUooYe8USkpooIRIvik5A7Y3YXwh7diIT8SHrNcXeks1GtSpYHqkRXYJS3eVZiFYKcCbFbpoadZK45pfh+nWF6U7v8WDKE8vAVHmbX+7wFZJuI8ZICFkvfRbLakDLA3ZRyNL+py0Ns1UWYFpADPCfCJVgQoa8p01fCN98LONSNQ/iDgGpTUQ13V58gxhQ0B9qtLd+NEx0CM69Uxgm7GkTdL3ujONO11fFg+EhFKrnVxHId3338FNoQx5OobYLfZUJCWWCGOKu4Xejs6lbKrwuPqi3Rdj7aKFnsZdgmF6EsEDuMq2HMnlKGZduPs1fdo7xuS+8SnDO2PjZsdmOLdjMGVT8C6aAcixVMRKT8u6fdVr186yZgWNctJBj4oXxfxCCnq4n2oQ7jxwC3S7T9Hr8KQ4vHw5dkwsvY8VDd50F2+Gn1+uEhS9d544jfIL0sUWayv2oOQrwlpOb2QltF2MJoM1XQeNogm/Jx/GQYd/DN22kaiUcxGjehGs+hAhE2T2B9q65ioMBtejdyC/tbd+K36eaDk8DqB61vg2oJqkzabXoZcqgkOn9z/T9hpZASkbRmoQhasxCKRA65gv8b3u4YBA/5oUCDnQqldM1LBLGjz0yb7BBSdcCcoXeKKYHC+S/qvomrNl7HbvzmPwTjvD5LOSl36CDBcRYL9XNcV6LXzvopzxdpaova8JN41PehBD1T0BNi/c/DuPgi6jZnEUO0O2L7/E6LmDLBnvR17/K3PPoVfYHHM6KFSUKLaKuV6N+Es9nMs95Ml4ZXglKy8ir3pk7FbLMT0ypfwa9oJUk/QlOZPpecKsjJTBlRqtrNx/3oM+OaMWHeSFIwri+R4IbbDjROq/437rZ9iUS0Jku6THlMratdHrkPUPRKXBF9FhmkPhOYb8Z54MzKtXqzzfUHqYK2+95CCw+skLWhKQ4YAAQAASURBVCqqvNvYQXg7dAxGpck9pI+H78FgyyaYA9rquCjDnjSAUD2LM+3GJblFR7ck6JfdccGt9oAoxIf6zjZSyZJAFaEh+3W3l/RxfZsQNJLETFtIVeWjFM9gUxcWGn3DWzCSWYXF0ROTP59BxdSAVbx6wRhcMm+9VOHg7HIVN973deuhOgxuR6HjkF/up5duN/mRTMvcSuzOwkA6y+FM/g5cxc/Hn00fSuJ4HV/u6ftNadSYe8USOkf5Pkcd5MotwQEPD7tnJ46kN6BUHIYqH2cIsAnu2NkHY/sUISdzMD6umIzLM3phCjqPmCtCEtG5eH95sxLodhRpLC8FoQ6HEyNyfYRrHFNbnpLLEWELDckcAdTHlCp1MlSnj8R7fBbObSPhEHb3xSzru8iwmfB6im0mi2uRz9RjTTiRoMwFZNElYndHRqr0tDRAd0k9FLoXS7dGgV5kbGw/ThueGLzM3xYAzQ/GTr5I8mA3szReNstKxrsCF4LmKVh2fArRmonQYI2JIblfiCTADqVM/o1eNBcrCnegd5ZxXhpc6EYkuxRorESBkzZUsN0OG/qUlAOrkSC0RhJCGcR6zwu4uVpg4+uYt7Yaz9AWfH3tDDA6318CMy1I++giathxaBBdUk2bDjZBEASDRRTBecF3ILAe+DWSLT7iZyDb1Qdg5SSpKU4Y8XBCnV9TqYiHvvqz5LG8qP9dSDum9X7tVFDV6G19j8SWsT/DnVMC5p0NeIs/Vvp/TkkR0igqNgeJytwgjfMCGeaNY2hn8O7K/fBHRMweXoC8OCZHWziF/xYRJiLZdpZQtXhfuB8zw49KCSGSsrOyqs2gNofaWuRWC72Sdo6F61KA7adcSZlNpDjBNG6D4CoGlzsCI7w/xZ4LMU6pHSIXzfA0HIJFEVG1iWGlWejw9bUTiPYsXBm5CTPptQj7SpHoTt+DHvRARU+A/T+I+mYPRjWvk/qQ9HXLiw/ejkx4sHrghwbVZ0IVjykmkx6p/lfi+0OnYGbVC5hCbwTvqwal0hqFKA4N+SPuO3AihvUtx5ShcraXphlJwIYsbFdMeQ3jl14CFxXEE/PewcBsK/SasEQ8RBWlUkVsugsDsi0gzXH982UxGoKwAIkyuUfMh81UiAHebRjCbMHSUB3SzLTUD1WQ3j10utbQFBKlICqkTNqkikhArE/iAwZfNN40SMYJjW/iRvMCNFXLvsAqJtDbDPedZnQqAGsLpD/MO0sLxFJBL0qWKOrSvh5VaVuVkh4nOJav2jbZhE6ncFoL6AjKQpp9iYryr07DtZFS8GwIbsXGKh7tpYRyYe31O7wmjEuyTe88txT09clgpaoip7RsdLYH+8HgvUg3N8DjexxvZc7FP2tGY4nlRkRpq9RCsUkow1B6H6q9UQyq+xpXmudhsfdsCDoRLRVWROAwMzFPaL6LwnpqdTmZp689o/0Vq9aQYxWlhEWvHDfoJt05RcbGuPM02TGubvZK13B9SEw5uRJBL4II1/rYV57lwKeXEzm01BAUMadk/dSCT1aVD5rl36b59PlgvIfQ8u4F6C0ekGzWBlR/Rjqh0W4Q4b4GWViNd/eLKc33D64GTQnYaB4jBdhkPgiIFtipsOSB3VBfhf6/PohGaylgCLDNBnE4fRW6wjkCJT7ZqmvvxkXofURihdkx5Tp4Amcjo2CsNJNoCucsXBm5SfvjTZW/YWSjVgUkuJT9BpfiG1Tyu8AwumSNKMT2x2omAp1GuNxyL7mJ4uH3NMKVYXSUmMUtRAEr/w56kGuCtmfiG34cfEw6ZqB7YEJyEcj4sbcr+giTAgsxkqlAZvAs5AyRdSLO5r6Aha3Eu/xMOMy9MLjlJ5xKPL/JvNssSB3aubkFQOUWDHKFurwKOHvFKchHPVZnfgQMmgjhk0thCtYiMPNRWPJb1+C4TnwX6SZ/zLY0xIvYIxbG6P85ob24k30Ls4ILYq8xcfLs6Q0EoZLLS9iWBEZLWzDrLDlbAgG8tbICA/OcBlZJcNOnKNrwL1SWnQnTiU8Y7Fd9mcOwuXEPKqlMLN/bgCPGj5ccHIKUDQ+ha3jRcik8gRqc6dZa0Uh7x8/UeHzHjcNsZ15PgN2DHrSCngD7d45l69Zjw7atKC3tg+MnjTNMpoTSrQ7FoiAgTfRJPZoOt7YYJUI9YowOLS/Wjp0k25r8sDQLCyvrUHGgFgOj2xCix2B9oAwTi8owbcQQsHGZfkL3M0Pz4yW4q/GvWMwYVVxJDyVly8BTwhzwtAkXoPvgYOUlkdOuapoD+8JOZIlhaXEqL/4VirhUp1IosiZ1afKfQ0XQBF4oQAHViEn0Zth4IlGXiSgRnYtDxJJpoESrcPAtUg9piGvdMqS7KOIN/giW72+SBPam9E6tqKq3QYsPsHmFQtieQNRrLpRskxhXHk7XPZ6ZLgfYLjqCjpunpM7g62Ft1rxvf57wJo5YPldSDZ8t7EIaG8BSeoqBkttRUSNeV9nxxPWYqxBZ5SyI+nHO6CJUNp6Kb0pPQ2ZWviTM01GUCRUooOuwmnAMaAoBUQ42TEII0SgXq8RRUT9oTk4AiCa7wbJJxWxmGWyiDSFzuVSFJdZXXQGxXaslDglxFEqC3F4D0SS5JmjHLBwKdLjvlAjtSSDnoE5AbFhhOrFsMGy7+WC91E+rx3pqMB6O3IxiKh+yUVkisvg6TKM3ICfg6XDPZjx4cu2IKfqpg3L5PWJWrkPGAj6jHFaLJVbJFpJQm7d+/wKopj2wDjoROWXD4HDpqODRMHLely0Cqy/bAsYqs3jG2mowJrQNYd0BCVFm2BFGNBSA1y+Pvi1h0dBtq3r+igaKuHzR7HWNjQXYBU2kXcIYYDMNW2He9wP4jN4Q0mU5z610H1Ry6ZL7AKkm76NKYhZzonLd1a/6AH0jRlaJCoGPu2D1SZRkIpQWmzSP1fM2nBIWoRF5ZViS1BGPpNciM2wFnTECV0dvglWk0TlTvbahiojSKRhFMX2ELvhgHx34GkNMm7EkSM5lOcCegjUYzq7DZqEMDvM0ZEY0n/IWjpYCbGkdUglYI40p2ynaCzZWqZfnFa5yPfJQgz31dShtI8AmnVfk5SarEwj5UZymJP+VxKA7UoMTWC24JhiRZ5FGGl5nP2ff+Br8k24DFPZUe+AQtZB8jLARq5c+hYry8RjXS7a6I9jVFJWYTAfqWyTmoer5TTB1+BDMKzwJn2+qxr+mD5XYGROPv1RqKyMJ0a60r22iB2CnUIzTHMZE1dVTyvDUor0x5kIPetCD5Ojxwf6dw71nPu5q+DP67X4lIXhRs/kEh3askiqhBM70HKnaTBCNhGP9uWoFm8Ab4pBRMgxHTD8G/8ST+JPpIzDTb8UR3C+g3j8TG/ZXYt3BFjQHtAkmrFQj6lqMeVzVR1Jfwc7MyMS5f3wcF/yBmLV0I9QFkq4KeYX5EVwRuRmzmJWYEl6EHJccNBSmWUEpmXx14fGfhCd7LI6KPAa/aMU88wPI8Mk0tLK8RJ/t9YlFERlKoBMOtx6c1h0Gn8xk2FPvwd8XbMVTv+xpdTuGCM0piK/Fqz16bYlAETTbS/Ewdw6+tp1ifMIkB56UTiyp8z1oKeiVkjiPjJzf7pb+RqMRqTJI8HH63C5VsEXFBosgwCc/HyOlR8I/9gZE8sbivr1z8EDDDfjzz168sDHctYUqa5b0BY6kNd9ar6dREvghYKI+MLEA2wFRpxKs4m+mNzHZ9w3+zH6ItcyFuF58F13B7ebbMT78LDz5yYnmm7OMivN0oK7Dn6Gec+Qc3NeijZ8Mw2B3o/F301ddVbSw2fhRGIM9Vk2BPB7T+eV4y/wPnBed3+q+sHWbkP7F+XAuuqPNCnagYi0EgZf+x16v9BzzcWq/rtFnx26bBON3qNy9DtN33Idpde9g3KLzUPbmMOxdpyniR3V+1ERvQEUypfiwkowhvamxVo74ZJoyLqv94gS0kvwjitsqqGhiCHZw9yYpqKlc/kHM93xBvwfw715Pg82V+9H9J8uqz/JnyOd2fVPqlJv++En7p6MApxJu/MB+Dt7kZ6EmnFivyCAtB3F4zfwIBtV/B5tZfj9i30jYJ4cbhL6sKlybzK0H2KRS31mkKZe+S6chQqUVS38fMz+PAf6VyNUxwjakEbE4QFDOSzqQajLr3LilX8u0RymfVtYIZhJgkypteDduZj/ASdz38vPmxFS2Oq9EKAsOitr8XF+9r/07LQrIUHhkRK+GtBvdZpqHIYFlxu0U9qC6n6qw2qK+t0nCtWeOLMSbF4yWVM1JEvPYgbmY3iery9owam+6mmhQYaYEpMHfKdX0HvTg/yf0BNi/c1CqirjOF1kNXvQWWIHVb8RshEifrNofTSoS6uRK7Kek19Wuh23BVTj+i6EIfXJVLFDPtLMYR+/AVGYzZi2YiGM+G4KKDdriK6xItczcoqkqS4gTqFH9Jf8TqGuRJ7DagLaAIJW54fQe3MB+gqOEZcggvbLE49HOglMqQaSf6z8NVqGE2xl5X/vkyVVYq92VMpCOR58ceds8e+pLe7tQjM3eBLOYw4KM6qXYY70AzweJHnhq0K1UsA84R+I1bhb2Woe0fxEQp+Sunot8pPO1Eadymjqtye17gkM07sUQSl5YmXSiamZdYO4RtUVaSWAzKKW62Bqq2F6x20Op5AmLT0OjMX7FZNy2xgkmUANXpEYKupJ5NHdkoUpYMPc5PpYWyCrCTYck73fVOorl5WNLmR3YVHSOJDgVD9HskhaEUlIhWc9yBzCs0IWxJenIsCcfP/qXGWv2tmhy4anWsCmUhf1iPqpDNOr18TRFo4X0luigLniT9rDHsXv0KMqWK/D5bRS69lbsh/nAL6jfviTlNqrw5Ki9L4B5bjjo50aiuVau2G5kBuM97gh43cZgPzhKs2YiauB6+Otl33Y9XL/9I3ab11XK9ayFsUG5Bju+QhaFIwgrFnKk1UFU7cviWjnsNvkgZJgE1Ozfij2vz4U3SmG5MBDpLVoLxrQ6TUtERbNPPhcHRDZh+dpV0u1bj+6HR04ZItlxEeSWDMQ6y1j5BYJ8/rFKYigZVBq5ikBIdxIkSSJJ+26Tz8f7vt1hfIJUEHXjAaGDk99Dfi8adkW8UlLSjh5+LZKwrsXERAS6kqAjgWgq5Dvk71GWrc3z5b37x26TYKzYLc9Ln/OTsDt9snS7XpSvg5oaOWnXFRCxVOmvEmDHfLDbo5SvXMeEiUPg8uzEH9lPcWyU+FoDJTkag2OnUGRIkoZMbkwNP4V1QjlWCv0RTME0SvW5odFXY3fhqTjW8jZe5uQEoaiwOlSoDCp1vIlRxFMwq8x7voFl+8dAkqRURzA9shin04tg5/TCE8Dwus+wwXoFLq5/pEvv34Me/K+jJ8D+nYNSFq2iTlSHVQR/iHq2ClNEHiT3F58q/Q1SVvhFiyRyFsteK5PtphXfo6BSFp06hl8Uq8glWyBbeI2SuY4ZJvkfO6gwtqI3VjKyYAdltkMQtQDI7XLIvXz1W8DWbiCzILoLtUo1/aBHm2hJQlZNPhBLDO0yEGMVGJ2e2H8MqpVYzGJD9ZFVqrF6pBLGSbfLv72NTv4FPuSmY1bkYXyUcflh2msj1EpU/EI6HqRFoFp0J2ULVOQdjadMl2OfW16Itfo+EQ9KqWpkiUaRpzpTAaaEnsS0QOcXAfkO+fcozUkmLwYU9x+L3efqVJSkc0sLbM8eJVdxyLn/CqfJwZQFNyHrTWOPfDJstw7HGeF78AU/EWknJO+oIxULf4RHkyRQKONa9jNM9MnVl47CqvT620hSIa5CEfLWxiqX6zJmYUCGfE33KcyVklZPcafj79EL0awjAROqrlYl69pFddesAXhuzgj0Vexq4uFJHyAtckn/ZMvxL4NXaMMdwWmRezEj/DjEtF4xJgXB/qaQgTJOqOq7WL2yhIw0705pUTpAstFLDlHxW26LoRFSWCip2AsEh/pdJH8u5Uc2WpCDJng3zAcVboFz5BxsHX0fnINmGV6jr5aa4yjMvD8x8UP675NRqJMKZ+nsqiLK6/iIH6IS6MSLEeaNPBHBoXNR3Gc4Mr66EBP8C9GLqsFLZU9hBi3Tw1WQxMH2Gh8+Xl+J+hYPRJ9G8+7TIAdDkhVEHPrkyonKITlKu4OSGEoGPm4uitAW3B29CPdFLwBD3CeSYLq7Ba+b/ol7uceNTwgRQysOSYYwSgtSv/x0WBgK2ywXYad1LqIt1TjciCoBNhl/zMSnPAlU9tC4fc9h/6vnJFTwO2ufx7s0Ab/87KzYc+QYqBoEFVF5nGioPYh7FmzDot1tJx3brGArYqt8O8ccEoCrDD4vb4q1vxCUKokwq00eb1roDDzGydTtqkZ5vuEUo+1TI/fjrMjf4LF1wCmBscA/6XaknfYMPr5iCgZly7+RGH9dKWs7tWVJDbCpFIUK+3fXI+2HGxBsSm2v2h7cyr6Dx83Po5Spb7Wi3oMe9CA5egLs/5EAW69aq2arCSVcVbk08cpi2Sb343087Qe8MXUx7PkDkWaRJz+nVaFX6WwZ9Bi18OzEz9dNqplnPYcv+yhK3awNFsUai0wEQaWiuO3YD5F/1J/AcVFkvn8s3B+egKA/UQH3cCFZtvfWyFMSfVXegEUgKk+SvlAkJrrGKL1c/0mk+fZggfmvyBYVCqNybKuC8mWqZrgJvNYUE7mysAg4SnBu5A7cEr3S8DSjtAmoft/dFmC3wVKw2NPwoniadLsk0+iBesmEXvju2km4ZmrbXcRHCcvxi+VP+KcioKOCCBIdQg5qeFfn6ZdqVSeFRRZBWqYscpQMfWu/kl9OiXCx8nupdML2UNdJ4LxaHIA1ox9BVn7yYDHHRqOMqsKkJlnVn4B4z04N/ICDO1bB39KxRatVScxkupwJLImIEgQQ9kswysOqCPQ4nWlS0Pu5MBkfsSfjxrQnsVqQNcUpixM76uTvurOma97r6fPPQMb800H7UwQjZUdi8cQ38NKQedjsmooGwdFx33PlXCEq2IIickSqqfNtZ8LHygmhb/mxOCr8KD61n5nwHr2alkmL0hk+o4iWHhHFrTcSbv0cUKtvrSWr+k46A4ERl2Nvtky7JRi9/RFkvzwEs9L247ppvQ0WPwS3fbQ8dtusE0ySPtMvL6aXO7T3MxGl+tg+aYtqRqeYfQjydbDJIet3ELicckUz30YSl/Lr9NZvBKGhc+Gb8SC4wvEoFuXfNZdqxkMnD074ruGgDy//vA7Lf/sZaW9Nw4yKZ2LPUXxUouxnvdAXmW9NAaVrrwid+CLqrtmPfSVnSFRyiyAHnpvLr8Qui9G6Kr7iGaUsEv37TSR3EiA4tq9L8kofJcgWeSqCAWOC6hhmDc5iF0m3s11Et4CWHDWk/ecOP92WrAN+Kbgci/PnSp+VDKJyjRMxurHBJTi4XWcN2IVxMlo8Dbw9F5y7L9x9JiIsyMm4sfQOZIoys8RdOhq8SOFp7jR8vaUWN3+6GZ2FaqXGKvO8mjhQEzupQFp6VFQoqp81jU2GBJKqc0EcKQKwwCPaUa+0A/DknJPUIQLtEi7UIxDhUdkSkv5Kn6eySeLnGzWgVZ4vSzfpigOJ8CiJgsaWrq2r1GSriyjuJ6uox40dPehBD4zoETn7nYNSaG/6aguZWEl1OkTqE+EgWLMFbkYOfOxOOSt7us5qxX3k1WgMnIEiS4YcXioVlnZBF4gS1duIhY8tpFQvRophMY86ARGOxzhrEbKIAI2S+VUnue4xjZItr+oCPES7Rl/tJ+zVNqBNONAUBKlx7Krz4Wf+CDAQMSZJ1bi7QbLwg2iZ3knQGIGkSLwlkocqfgj2i3mSr2gG5Tf83nrUB3kQYnFNkMavwhD0VXpmVUymN3drgK32parqwKngMLO4/tRjEdrugS13uN49COCCoMMtECkWoj2x/1wPOyufR3arBfrwzWrSFpRhToBd6XfsCJrO+UGmD3aypUHtUSa4qOAQUA3spPugWKyXfse2MLuPGcPduSjJS15BJ8hHHX623Jzw+PDoOuD7U1GDTAjXrJVUndsEOSdURgxtwu7GMFRy8SExC01RUyzAJotCtdJDerBHFKXj22smwsoyeOynXRCa5QV1v8J87Nwq2xH5Q12jiJuqV4FqpSJFhPUuHFeCO7/aivPeXIObjijHeWNkFkF7oLYbQLHm2Vh8Pi7eKTMNzjXn4Yecy3DlIS3JFdFtH4MSgKqBUzJsb4hKIk8H65sN7gqJ7xVJ2kIRr9rvn/o37Kn0YPmH1+Ic9ufYc9V8mhL2GnGd9zHte1pM+HVvNXK+uRjLqRHIM8v7fzBsV+SqgIwBCq1ZCljk408CI33Q5j39Qyxa+T56zdASevap18MTakJ64TgcWr0w5XchYkzJRqNauFGo+qRJQWgAl7pWYXr9o6oupfacEEFDTQXy+DDCnkoIJqe2CWPG2oMtuOX9pZKzxbsWOfDw5ozFK5FjsGr3QSyy3CRvGqdnzels61KhKEtOvGSaBd3ekoRAK0GzEkRZSPuPP4AsE3fYDSuJON3g0//W6jZ82Uwsqc7C1DpZH4HuhPZIdbMHxYoYV6lyuQmuQjRevBpQ+oC31gYxnTAWqGaMaSaCYWMlYcKr3K8hs/Y3zDffjcXCcMIH6PDnk6QI8YHWi7mpFey2KvLERUXF5xkX4eGDs/CO+SGDBkZYSYjZxSDqxAxMCT+FbEc2PiD1ivrNWG29BvuFXMyIPNGhAHvd7v14ZMFaTMvy4V7b+5jUskF+Im7sUL8TK0TR2NwIx5S/QRQ8sGYNSHrdhCTtgxaDC0XX9GuMc3kWYSCSJJGtaz3ePejB/zp6AuzfOZhYgG02KJuS6jShj86yyVlOQkNqCtSjzN0nYVAW7Tng7cTNUwadInhLhvgJ2bWH2L4AQ6PKZEFAMTjh6iekvlDyjyxaCB2aUE1JlZ1XxGe6A++az8LG6Cw8nKtVRNRec4KN1QE87n4Avx5oxt25A3AvJzuE/xDXN/6fQLyVCq9QLHcWnIInd8ihzk3sR9JfC5t8ctvmsYAX8rChWX6vP7Cf4YCQIwXlhOqfTzXhR/PN2NdI6Ptav6Qeu1d9DWHrpyg+/VHYHB07DqoacGsBhgrBnoPgsIvBZcuCRCqs2z6C65fbEC4/Dp7jX25f/1zc55EK5K3sPNgRQiQwGHZz64F6Msx+ZZVURX7pnBFS8qijqGBKYgEUCQ4JhpkOSTZwNkR0DRzJMXbr/Ziy+2t4ZzyIUGFywbScov5Y7jgahQGt+lMiatTAPDSiOuwDbKmDdL1PMO8qBk36C1krmkPaYvFPkWtxql3uCSfn0R3Wj/Ft5oWwOepRYimVElSZipZBrtOCDMWwxkYSempw0gWKOGHiqMG1jzdJNnupUM7vw0n0BqRJbSHtD7D3LXoT+6x3YbNQChO9SDqHVJA4QfWYj+0Tl+T7KJoYok4TI5Vnt2o7lgqqb7OqtJ0KHC+gMM0CJr8Y0LE5XZmqgZAREUY7eo+l3Ybcz+/CLHYTRmMT3vXOxB3ipRjIHcAt4pXYkHEMXhkzIbZQUCnUqo+9iqyCcmTNvs34OWVHx24fzBiHcyJ3ondWHv6k2+Zf32/Gtxv24Jzx5bhF/36vjkAdOd7KZBUpmoSCzHQ0mFP88kIU/voD0s16ZMKsC4i/21aLFfubMd98D/rQ2rXx4RYPFjSn4cwxYxAMnAAaItIcdsP8KIT9mEBtBc2QhGtycT1aoV/HixcSxsPk0FM4ifkVt5vmGZ5rDBJqspyckl77fyQY1X86cfg4HxXP/iSNG1yk4/thE2UmBmuN0wrRiWzpmW6ULoGfXdgbmXVfYzS9S2IudAaEht9QcAQpJ8PhkI9nmLJKuhf61rRkCIomnB2+Cy46AItjMJYK2jrI52k0aAkQLLDchmsiN2AdJycC3MpXKaVrsdJyDXZUPwSUzW7Xfrv3fIYllsfg8TlhUvQEklHEvRlD8NfoFbhG+BzL3rgBKwbeiTtmTU35vkR4jZzEHBn3uwCBi0gU15BAQ79HRVmazkv3cQ970IPfP3oC7P+RAFs/aRH1yLNGGgWHiD0LyH8F0e9uh6l5D4KT/gJbidEqhlIWgO2B3sLIP/9qjAzLgYSKltE3YNDAcRAYGj++9w9Q9VthH3U2pk0/QVqkEUq2nnZ4uBFSFsE2XUUzy2mDWu6MkmWVtBijDFRi0lP6n0amy7h4lKobhHaqCPZ8bb4NmYrIVBmbXAl3bf4cXLl7PMbYA7iA+R6nMUulx/cI+bFeerLI9PCpA4+Jy+Uq1MafcmE76f6OfQklwOZTCALpkf7RyVKVd8lRX2PAQFK9kLG7icNIEvDUNiG10ZeM2ma/ZI1THxSVJgQZNEVhLvOdRH3c4m8E4vxp24OWIIdAlG+1epUKO6wjsKE2klChzI7IjAILFZWqK61VlqmI/Furi/Ck29A0yi9+PXZ/12+foWT1HwzbEIstQeJCtI7mCDC+7p8wMxQWmVwSg0CF1DyhsxezeHbjjj3T0Rwsw7yJ2VKAreKU/Ca4s3LB+X0QrRmaFVAXAuxwWFv4M0lUffWY6luAKeb5WFxPkhIa1bktmA/K9N0h9H7UMQwsDI0p9EaMonbB7ZuM3c7RmMP8hJn0OhzHrMSBAKHB/2R4jyGZNFAj96WnghqQxQuMpUpWtRVgX/j8N7CFa/HnXtp2RJXYZk+eHPNZCkDyH29wx+C2+r8aVgHEWYE99hHM+X6MdH/37KsM9mpRxi7Z4pHzLpEgb0SNN4x6X1hSN544uD/Ke5UmWLWdUP8SHrR+BG49jb9mPAaXfx/u5J4GHWwAD/kY/lL2Jww+8U+SLdf07fcm/Syaj0oifATNbI7ySuW5jfNwdNVi9GHk4JrsP+mhn938Jh5jNuCL7cfDd6WxxUQFsd1733If6pEOEcmTXCqFWPJFJwkI5ZoOCRQqkY0X+ZMlcdBjGE2vYbeHQd9uDrCDvhY0V++C2Z6OrELyaclBEtxpojwh8p2oel7B/RVWwYfbMlO39OwrOBGBzV9gFrMKI8vyYoylQeIeXGQitWCgmKpHx3X/ydrHDOF0WQRPHU3XTX8TCwMRSU27Nfg4GsvFQXCxLI5iGVzPaMr+QsQvBZgmewaODj8sOXvkUC0Sg4f2HMTuN55HXjmZqWSQ53ZE2x/UWupljYFdliEYHdbaNvoqmgEqissGoO/MKxH55WscyazH8kpyHqXmvkjaBzzZ/0CXA2ySBfJEKRiOoprM7unB7kEPWkVPgP07R78Zc+Gpn4BBJR2jVvn2LEN/fheWHTobe7bsRcOOZXD3nYjjjz8LdBKKeFX2VBTUJ6rZEvq3iobmZsR3ijYNvQwOV6akmjzT9xmK2AosCk2K2Z5YEAWv80A93AhH5EWsTVFsjfWaKwG2QJkk0TNpf3hiP+GTVJjjRKn/I7BZtOP+z+g5mGuTA+xp5Zk4pZzB4EpN4TddSJ47Vr9LGapwv0mzqCHVmY76YPsYTT21vSjPkI9zYWbblW9/lFRDgQ9X7MSdugDbJ7AGkZ7WcKjJI3mDHvRy0l89iJCf5MMb6Hgmn9BWH8RT4E00nDxRxO1Yy8B+Pws+r3UmCOnBtdqM/ed6+L3NEjnRB5uhgtAacjOSvF871WSJXZCaoJMSTLrEQkk6C7eoqckKwWY0B+VrK89l/J4FxX3gODAIEcsEcDnD4LOsxG/CIFSbSqSgojOIhIJtCjap4NWAh++YRZuZkwUbF5XdDMKpKPKtj9FFF/tZ5Ao1OFnX61/opBM81u2UHDq4XOkpvX15Vynm81NxOrMEWPcuUBpnMaejr5LvKzCtf9+XqXtRZjkoBfYqmqiMmGhiwvd0ZgKNQDqVGNQ5EMKR/fMQ+Y6BmeJx4WtLMW5QX9x5gnx9OtMyEZ16u5TAagufL/4Vu7avw4Rhw3D60UdJHr3x4G1y4oswmU60bsCgCx5Azb/fRR4awJHEAhm2lATszj27Y7R1FXViGnIoDygxCt4vH4CA2RhU9YrsxBTmt9j9/L7jkGnLwYytsg7HydEFaKrbKJ2r8VCTvxxMKUy65OdUhEN+SV9Cuh3VEkpOaOci0dI47+gLEI6SQBsgLs2bDlSjf7ypehdRuX0ZJv52BfbQvYBr4qyfFHia61G/bz0mKIwTvoPK06StYg0nz/p2RxK3C53NndonrW9v6s3tNmwnCkLKfvGO4LhBqRNcevjD8j45zAz6hLfgD+zHseecdFS6hs0sgz0oRo3oloLol81Ki4UP8KxfamhXSCU+Gg+iQdNL8Xj35Y4FKuQAu/mU92FN721oVMhPs+LU4QXgF4eRj0bMndi6NkkswA51PmlDfgdy/ROwinCcClWokNf1r/egBz1IRI/I2e8ckfLjEB5/A1AgK3ar4D6/FtS8UxGs3ibdn/fvv+CN5+5Cg+IBqvbIkixlafNvuIF+H+UtvxqUOFWQfrvK4TdKt2uQhWWjn4o9l+nUqq6CEpgLuhlHVeX2f3gpirgKQ9Vb9RUVupEi/k74Ouy0XIgcz0btQUUN+GnuVPyafTZO9n2IZ0xPoqRhETZYr8Qm6+WgFWbAfxQKjY4osb9KnQpWoYyTgOfMDKMFTHpJcp9dtfJemmH8DePpd/HP61HHytTSA9ZEoaG2kJZfjnDpUUgvHd32tkpF/Y/+J5IyKNj2/AbKAlivYKsiSMmBViRotBlpD0gv3anMUpzBLIaFab1f/S+OBxIeI6rOWZHWVVwjrfVokgp6i0xRPBhofx40K81hsJT5Ovdq+NpJjyfCZWr/MYHfrC1SnwrdgWktn6LCLlunhaq34nh6OUZbq+GyGvdPtKTBd+TD8E++U7rWduQch3Mid+G79ESRxPZCpa4SXYm2FuBqRVGiuncA/dPk719eKkc6o7IEg53RjKK4ECuJq4Lq16xa/iSFKx8DKEVr4dNrUm62peBMjGM+wMe97mp1v4O0llTZwcgpDC+T3qqCP8GpTGLQZaWiYPYtjC2ul1mvx8WVWh8vCZJJX/s5o9tWS57m+xqvmh/FkPovwdRthnXj6zBVyHZeKnofc72kEyDtl68am6s8sVaCXqJckZ5R8TTmvLYKW/Ymegz7FLHHIicNhOUESdRkDPTiKbfZFg4D4hgG9779OWY99ysqmoxJGUXYGQ5r6mQZpWNUkAA7hoYduIt9S2ISOSjtfRdZZsS0UIKKVzjfRTpvMgiRYEyoLRWqFjyACUsv0r0m+TXj9zZi5/LP4GsxKkqTFhoVdnPqcYp4KZNkugRdgO2Ma2PY9b0mXNde+CMcXlt+AO+s6rjdF9+0Hxcy3+EoZh1G+X4xuEAszDgzNv86zGwsQaBHnWI1pmJQdtvMLYI9yz9FAerQBBdcA4+Rv4dolXytSf+6AdEgTBWLkK/0f5hbScoSRBh5DhB0Qn8dhb7owSo94Co2+RyS3drHXmNrVw960AMjeirY/6PgDq5EgViFlbVVKMosw/V4l0S+2EvfYFSmlQZS0eCJSRWMwH2Z/4TdYsbNVTfJAiKKUqiJkKpLxuO+A48jzZ2D8/podkNhVp5sluach2l170i33/38Mxxz9MlgoiaoCXpK6RdXhUj4bqSI51oFmEI8ctK1SckfFSVK62ahDHm2AgyMbMIoZgV+jWjfxZTCkqU7EREVX1SKhy2ux5qxahVh/9gbwOUY1W9VDG78Fl+bX4Oz0bioJFRpPRwmIoOSHKpPbF3U3PHv0OdE6X9HwMapkba3R5VAVGyBVMVnPaz2dMBfjVxFuKkjCOkUni3W1g2L1f3V4xnuVFyZ4QBSxNg+0Sr1tqW1p7dR0VFoD9Re9Co6H8eEHgEOAC83CRjRhueyhOYD+Mx8J3wUuTo+x6bcU3DNjhG4hFmAe0xvwcNbcF3T2fjMcjfcQhOeMz+JrQypv81p9W1VVkVXhPWiIfmcDLchnidBCbCZDlawrbwc5DjTs6VQgNVXyikalMWV3MFBh/qmJqnruy7M6szKjCA2RVbSiN8Gzh5dJP1vC2HGKVWs9NdMkElDKv5JFifbraVC5ldGKjQr6IKuiB+MrxKCLROirXX6LfFAJ2AiXtRt/gEDNj+C/QUnwF4yLbYN0XjY0vsy5O19BNP83wLzB8cqggesg9ArJNudfey/ALXhRJ/1QO5oeMsvRHpGH1BLZHovbzIeeX2rA8GQircRNhkDxX+Zn4PAP4+NjV8Abo32m2aSz1mbzWYUYtSBtHmERfm6iyjWagSmpp24jF0Q0xpREQpqVeL91kGoD/AI0K0fy85AiMr7wrUSYKsq4rH7KSrY/NuzMVnYh2U7TkS/C1+IPR7y1uNK5gv46DSwdGoWXZZ3G6Ywsk7EPo8AVWK119AZ4LeUgPHKCafJux5G3azrO/AtgVDDAdywciYCsIIbKxcUoj89AEvdevhHXQVbv6NSvtbasBH3mV7HFm4wGtgxxvdltXH3EvYbDOATA3hVAC2GNqz3Yps1yJX7HY7xcGfIyR4LInhj7SFMKMuMtYUR8L465Hx+Xuy+uY35YIn7NLyxfzRGOkZLTJzOICrSuDpyo5RUuEXnIkAQcg/E9dE/opfThmM7+f496MH/D+ipYP/O8doXC/D8J1+hqsFoxxNVFqJ8JIigX8tkWh1yEMwrz+dtfQmUqrSpBLy9Cwtx9bnn44JTT8fV9N14e+BLYF15+JEfhZ/44XCkZePqs+fgvGOPTO7vqlt43uH5G1C9Hhyto9gqNmDv0Sfi3/xpCJuNPUeHEyply6qbJPZ4KVkABQoVVlnREY9OFfT/gU1XSGQk9XeCIYymJk5gdWjL5YYC43HXw8Z5MJjej+xoZesfplNxj4db4c8HWlpfiCfDjlofft5Zj70N7acaMnGVAUZRcG8P3W67aSBe42ahNsPI4CBIS5fPK1VBvyMIKwGdtD9tUJKnTToSn079Jnb/QM6RuOniy9D/iLlYVHgFlmSdpb2vaMJWoZdk8xSgWxdOs4vyPpjbIVCmwufqi5XT3sYlQZlxoq9MtwUu2IwR9B70h1wpHNcrA26bCY50WfiHjTQbPK4JWmwlbb4vCShJ721XdA2iHIcG0YUWqeO+dVDK+cPwHatgE+9oAtGcllBpG1acDdFs/L1adN7jKp7jTsb1keuwgU2eACOwUpr37uFAhNV+k4PRdCzih2GLPZ5MrcGfO65D72/WBdih/b8hc96RsM9vPamiP44mzoeaFrmyW+VLPBdpXfJQjwobSd7IINoTuXyiPVu/mq8QzR8rVf7qqCysEfrCbzeek3oBUIKswG4Ubvp34n5QxE6M77BVH8E4vIUB4Tfgs2i67bxSUdczugj+ano/dvuXvItxRfTP2Gwdi8MNNfkYbUVwT53zVaQlYR4RunAfQR4T+ng0qj0B13xIEnD7E6N9p2TIzczQBMcytUYR0epG41yZOdeVaquF4mDWzSM1u1chq24Z9u3f0+pr+ytDa0FODgrzNGcVgvoGLQlzmqj4rMehlDKek5ROp6I10AG52zxizTbYqtb/8gwq9mwxbOtXWA7x2iypMHj8iRh33GUYNlhLFHUUUZHCN8J4fCFMhinOtpWwEfQK+z3oQQ+SoyfA/p3j7AN34a7Kq0DXGj0kVVqYEA3GAiWfaIvRjm28vJjsJ+yBLSBT8QSrFsTtrPNhW20Al8w5H8PHHYmcoj6o7H8xsuHBto/vkgKp7bU+yQJJRdAjT0hC3TYpa69XEFX7IvX+kmdd8wjmXP80ynu17XfcWagTnqijOT2YcR+uj16HcqoKvYKbkZMmT2B5dt1iQ6nm/ydBWzNwRVS2XLpX0Gj4BGWFGpWujjQvt7FginlqpoAnGE7ZG6biSN8X6Ci+2FyDWz7fgq+36BpC2wAbt6+MUhE2tyPAXsaMx9+5i1CdrykWx1fQqA4IzyT0/JLFcRuCbb0bFsK6TO7VJUi3WVDitkmVrUGn3QOmTKvYbZr5Dm7KeAbmjELJFSsViAAa6YclsHRAyb0iwOCs72l4RRvOYn7GpcwCsM2tLzJVcEr1TW0fGVKQJvmRHzNC9rQO1e1BXlzXcdiV3J9bj/MtS7DVeQ0eNz2PzqLB0Rdjwi9gri0xMIpHjltOrBTY2m+ZQ8AF5DYKv5L4qNfF56wrJ4GqzyQ5P9dioOQHzqenHtNcVADltLwwJ79TKlg3voG0BVfAvPur1vdbV7GdzmzEFHoThNGXpdy+9+hZ+HXcs2gvTIrfOcH+Sjlxt8fXNpNADZxNvD8miBTvg01gUZK+8QhGjIm3TIMRnwxzpBmbNq2W5qKq/hfjyZJ/o2Xg+XE7YkrJFoqHakOmotknJwbCQuv2VSrjST8fjsiSAxHaZuQSBHR6DiSBJX2OomfQHQF2q4KTugCb9GoX9U9MvgQD2nEn+iR6WMlvS85BXZInGfLLhmL3nGXYdvoiFJRrehvx2CEUGcRG24OwMlZHdGKAorqfaoIkBWyC6naQgZwco6ldIadVrEN0cgqQgwpjIa8FslsOGZkRqdDPLn9uXn6JFGCT5CHB3aa3kB3Ybtg2XqfD2kYFe2RxutSDXpbVHtpSchDHFxXxiVGiF0uKEQzXMYZQD3rw/xt6KOK/c1jIIo9KpLFqAXYIgSaZp9pIu2NTu4OXs+sEBaFd0l/akRNTL578gVw9+Hr48xg37STpdinbiOnMBmzlBAz6UH5+7ck/obiXvADPE+tii7zvhHE4llopvx9jMlB46biMaHchRBZoSh+mXliFCPQcT6/E2ezPWBnOQo7TCiJfmq5sIqSUs+lekMwwEeUiKMzOJBoqMYhmbZJtTWCod7YT2AuYddV4FXupXvCYslAQ3ou1/mwk65IO6gXBOkHpPbnycfzN8jV+rSML/Dvb9Ro2fl8deXifOwJ+NgMnt/FaryJSkxbXB6wuZMlP6vE0xRP52oRaPZeYIG0IOtkaNuE44ZfY/YM5Mwwqxj6HFoRaXVl4+6w8qVdXaMVHNBgO411+JpxUEGMc7Wd4qIrnC6y3I00RLlrcSK7PtitkqsARGTv0R5OzZMSsaD6w3Gd4DZOpOROkAmG00KEmUBFtzOkoSBV8bK8MZDva/iXJtUOQY+VTtkHEg1Rjrg1dg3T4ca05VzpvvLx2FARrJrxeS0JrQ3yIHVR6UvWiivFw2LVKOPFlrgmHQMdVWQm2b1iCsc0LsNvUHzmttF3wcT3HpKVnaknrAnt9x89GcMWNsFFtJ7EsgpaM45UkRJh1tTvAJkFYC68IXCVRze/Xuy9gNJ/ABqE3TJ79mix0K9iyfim27/Dj9iuvxpxRiTRyxPVgqyJwREgtHkKc0v3eyhpJuHOfnzFc0/FQ1dH1ATbLKWOpLRMIaYFXM5tt8G4n4aBPRxs/XBCVuY9vpYKtKvwTRKnkTB1vo1alrZzxJGSzPhmFNvl3zcrMatOyKSO3bbZLGCZ4Qxwy7O2VdQT8ip1WgHLExvlYIqeNAJuKeGJsC1EZ51QV/uKjrovdz83KlkQEa8QMyctbj8e4s7Ba6I8TmOWo5Z1oT7nAOuYieMvGI6dgPKIWG45hXsXL3G2SXZnemYXAFMegYtpoX6O9h8DWbZLaOLiCjrFVVPBhP06ml4GjzaAoI/U/zbsLu60XooFPhwBjYacHPeiBhp4K9u8YRMHTqgRkZqsxy8kpkyrJYkdb5AnSw2h9XqotB0Eh5Ao3myYvIZqatMVABqtbgKmiQToaHatbfJlOeBxrLBOwfPJrcJ//Dg6K2TGlcVV4iMBll4NtsuBmGrZJE0J3wBMIalRMnTI68bNlKXniHVTojgVQkYj8Xbk2vDO7CyxDAuxQUmsmtRor3W5lweQmFmTShW2s3q0XyuG8dhm8J7+L8eFn8VfuqqSv98MmeW6qgkcdBaHlkte1Rwi2RZTPg+2x7nwZVHox7sbVeNF0YZvvwQZqkYNmpJkTkwFPURdiWvhfeJdLTalPhULl8JvasIQiiPqMC/XVHmPw4TNr3qqOjFxkfHomst4cD1NVXFShg59jcCd3GW7mrmuzB1wPM+/DZcxXseCaQGynt20ayyelxFucRpG0CiEH9aIcPPUql0XPWoV6MrSx2G0NQwvS8NxZw3HfCRptOBW43BHwzHwcgbEaTb4t+EIcfhTGYL4wHQ6n/Puxut56UmEy6cbYjUIZlomJQoPjw0sxi14JpyLglwz6ZN/Y0HNoSsEqDSkieAGx9aRCWnqimV3Qkxg8xoP0rKZCnVmz8XOJXokmTECF5eAiamqbVaFqB5AqoWRhJQV0iYETlzsciwdrQoFhkcU/i56TKvHxaBITK6VXs1/ivoii7JwEgwq147Mk8ywDSyEeopIIULETpXgwei7WuFvXlfgT/yr2Wc9DyeZnEmz2OLOxQt+/WKMij/D+gm2Wi3F11e047FAD7NZU6HUJjwLuIOoO7UzYJNgksxYOUXnoNdQYbBF3kPj5qTMgQqoEGfDD601uQZkKAV9TYtJHYaCp520qVNbIa6PaiAUBRnv9lmM/Qq9BstsJgcMlsxCe42bjgNVokVVINeDf/Kk4MfIQfstonwd2tGgSQsMvlbRUiIjat9dMglOJm+OTbUTUkQifEhwYfUeb7x3e8R3SF1yGyNKn0VmkC4142vwMnrQkso5ok3wNs0lE33rQgx78jwXYX331FU455RRMnDgRl19+OfbsaR8l8vcOouBpU2ooVpsjZYDN+xLtS5YO0pRhVTgyZBoyrQsqTMrimgsHMH33PxN8WXkdpTinqC9KLv8Y5aOOQVmmHWZF2IX0M6uquttto5E7QJ646hfci8z3jsbeH9qmfXYGEV0frdofTjDH9ybOIBY50s6xCEbl/QyF5ZUu/390WZDK9FNm+VhQcQrIeuEewkRoqyLR5BqISyN/xvPcSQZqX5EinkIoiT6l+ht/ThE1U4IBnWiNj/XfJ7F6i8dimyw+w+cYKYOEXr3khqn44srUfaQqXrT9Gyut12JsSPMRVcE58lEh5qGZa72a197WglQgFXI9mrzGgDaTlu+TRZLdkQ5RWfDG/8Z61PsjMdVmsgBrLyy8D3eZZIHBtoSL4tHPLZ87uRnGgMCWZhRgKqHrkE15IFAMbIVty+jsaZSPZUVj55WSLTs+Rfr8M2Bb81yb24bsRdhdcDJ2O9vf17qnUf6NcpxmsIx8rehFzhqdA8DoqL6nR+7FFZE/JQi33cY/hxfM/0J6tBWqqI6yPIbejj1J9ArCQR/cYTnxSJtbT7CUDNZaEFQ41r+ItkB6lpMFrUQnYKdNJ/RFBRD1VBn61KNxQWMyZLrlwDbLFAalCBkmU/snEEIa14D00z42eyCWlf3RsM0L3Ik41f4W9ghG5WkCwvRI++AEZL4xDmy15jctYdQlqFOUyjNb5KA9TNkNVG0VYlwSaDNfKPlYVxTJ42gqnMl9Kf3tv+NZqb2D4EC1HLztDxrHEGtQqwi7XGlSQjIriWVaV2HpNQ6Lss4FV3pkuwJs8js3/fxkwiaZJUOxeMRj2NXnMux8+1rsW78w9hx3UE4Sclkdd5zQ4xNhWmxsEeqMFOm2EPbL429UR1MnY5OEOAHNhNdWyufDfroItZx8nTWKTlC5xu+jMsiI3VoFZ5wYe1NVMf0W4j6RCvt2rkP13/pgzXt34a2lW3AgTrGeVVTW4yvYBE2UfL3VuxO1RuKx2ytfY7WN7aOrJ4ODlwswjD0xeacmAOLFSXvQgx78j1HEFy1ahDvvvBP/+Mc/MHToUDz77LO4+OKLsWDBAjgcrYsI/Tdj8e4GvLVqPUJhLiaH0zfbgTuOJZ68Mu78YhPeV6qMjMVhkM3hGYtEtyJ+vpmiPAFRTq2SNvao8/B6XS1a6g9i6OBRGDOgNwpy5WqUSVe5MSuenvpBP6ITLBNaUc3MJWarUuDIoCFtKF7ffyyijjE4Valm11KZkgdoeeWnqH1eC5Bq6VzUTHsERwySqyhba7x4+EeZxp4MhBZ4/CC5f2p3vR/3f7cjpl77R34UXCyPcl0fWllUS8CQBd+u+oBEoP1kazNKqcnSAngK/m9RGxShX1aTvvX7ohcgAAvGc6l5k80h4uUNeFoasVAYDZMy8XNKgE0CNtL3NzC8DoFX/44wBRSkWWA3y+9Z7A1jAi3TLJnaDWh4/ijc4bofYYU+eHbwfYyLrsQPlqNgGn0xTh8hb1vZEsIdX23FX/2NUsuCXcn4t4YZk2YgfIDHqPLxCg9DgShKfdP2FY+hYtMiiHEiQQRb2UH4rfcNuF+p+NucaaoJTAzkO/WhDuGczfegYZv8/c0shZIMGzh3f8lK6tavtqPGm3gO06KIm05cgWH5bVewOdY4zsSLMQ13+mLq8KQaccAHybO78ctbETb9Q3puoXk4XrfOlZIsL587EuVpIp6YlY+KcMf8txlTYkJgdPX7sH60BKGBc3DZ1hEIpBA9m2Pej7lxFVYC4mP/DT8OxzFyy4eKekspKB0zJRU8EXlkyvNswKHnj8LTjuuwn5Fp8+eOLsKxA2XmDNF1eOiHxAoawdXiCpzUvBx8ptyO0hp21PlwybvrcDv7DhwW47jhoxywnvg48oploaVPN1Ths03VMPsrcTq9FtmZpDoluwlwzmKUhUiygsJ36ZkIRjNQFno39l7k3OLfOA6ZTkVQUhBhVRo7WrXS0SVMJtDb0PfrM5Ch9EuSBfrB5iDKuL0oVsZ2VhFBSgV/wSS8OGYpttX48PrBWdJjB5pC0GaK5CjJyQTq9soUYlFLfvhgxf6gFflCvtQrHhx0Nqy0iNu/2ooX6t+TthEtbQfY7vxy+Kb+XaKqbv/xF1iF/kkDbGKz9PP2KhQwRehPy0mFaCSIgSfcjM2HTkbLyrcxuep1jM034/Szx2H7vKkob/wo4X2Y2k1gKAH7msIo1sXgpM3jTvavMAWqpeQHQZBNx9X5n2L/ns1SW85r5keQTzXCTMvn6k2fbMJttX+CiSM6yeOR52x/ku7hN97FdstQ/LGpVprfuIA8D6pI82nez+XFMm26kDsA77snoNIjj0XzbOdgtcmYIDpnVBFmKf7Ou+r8eOB7o3WjHqcNL8Ds0bMA8r8VmItGY1ngVBS0rEVvYT8GNS9E7fOa6rbfnINel76HtKlnw/PcVFnsbMnn2PZrfzhFH4oFubq9wzwYbevdp8ZWoSTWDjBg1e2wbstArS8Mb4jHz+Yj8KU1McHxxGlDJYp91C+zKgRVnFBHEd+zdxcG6xh/F769Rup8kv4LPL6I7pLmq/TSMWDdpbgqciOaRRfuVeZDFfVRCwpEGmV0DV7Pvwvn7/LgHvYNXMJ+K4m8DaAr8ED0Apy87RE07AygMN0itYlwmQPwWdEteHt1JWY3vIwr6Xrk17yCzYca8PfNJ+DlK46XEqiub69BjrA/ZYDtEy2oEcuwdl81Stog8bBKa0Z5ZDsqdL/lL/ZZOH3uX2L3H/lxF7bUJG/bmcitlBq8hCROAXarNdZ/bv7oZKlN6ynuNKwyyXT0gdxWaY3gGfcXyb+7Bz34/xW/+wD7xRdfxBlnnIFZs+SJ5O9//zuOPPJIfP755zj33HPxe8Vrvx3A2oPGDkImrpJ1sKElaYWW4Lu+f8d7wSj+fGRfWML1aGo5BX1sWYZu11lzbogpQuqDE7NOcTuzoI/S92NCA9KRhRb43IOBajkgzsiXn49Hxkda96wzqwjje4+EMG12rFdN+pyC4UCFLF6TqWRMCUq5vfi2dh2gBNj+MI9NVan7N2f2ixgUk/XbXo5bMCo3DS/qjl3QVkiavSTsDGfi87K7MXftQUQk0hOL8iz7/1mAvY8qRpl4EDXD/pDQy/UKf4L099xCLVESj2oqR+qR+xcne3huNA3HSeH7UZTtxv3KNnc6P8N4/luUCHLPvF63qhA05jBKgoILYCC2Y1u1B37lDJnLVmAgux35/oN4yqtdXyQwIMc9z1wvLVjKy/rGkdQTERp8jvQ/AQKHzDcngQ43w0jGk0FaD6rDPCobW0BF/Ukp9QTE6oTYIQ3DzpiNkfS3BjDVrEVoyHnYWSckVBJU3PjVPpwyLB9/nN56soAaejbw67ex+73LjVVdVX1aXQDWsoXog3XoTdcAvMwu2etLw8Ymb+x6TK/4Dqf+ciMiJTPQMsZYkW4NdlcmPKJD8uGOiCzMFAdXpBaoqUWkeCq21vSJ9a3HY0ZWVBI6FOKCJ9Lz95DzdqzwzJdEeHabB6LEEoSzfKaOiJ4alqyyWL/xQH47quoasEnMMlTqk127etSwddJs1cjb2uynz0+zSsI85VSl9HnxOLB7PlAsLzTrfBHpM0+kN+Nx8/OoCpHKrUwjzrCTT5J/jzSrCXZdG4LLwsIWCaPQv5n0VUhQl8V1cMOV2b6F5R6xAJdy30jnpPoe0jmvG+rTFcp6KlhNDC6bKLdZHHi2EL3ESpiHntbmZwdOfRe7fRzOeG01dlplay7ib9vH3IRP3Zfitv2n457j+uOkIXK0uqt+FZpFBzIoP5jsthMdRCE6OEIWW6upGYwNax5B37TixP1nKJxr+gWlotyqFDGlI/+zU9E85xvklgxEiX+EZHdXdvxfpDFlwLlPYMkvYzB1022SMnU95ZaSuUSFmYiXuXKNwnsmhsbfLz0Hn375EaCaK0y9BY8NHIKWYH9EBREZP3yDsNmGwoGTpacbq/djiLAF/xS3Yjt1HwZntN5ZG+p3Cqw7P5NuL210ohpe3I65eJQ6DddPHojiZedK/f0E+/vOjVmo8emlUkKLMGbSmjbEbPs8jbXYJMjXQhp8UutOwwBt3CdJstbmxKnliZXHZOgz7kRg3InYvvhd9N7wl4S5+FBI6zeOWXuSIIrXgvsGyo3sYcehK1ieew7m1+/H6cwSuPx7pWtKDdh/9vbDpqbE76qqWE8Y3B8N4kSkF2isi6ijUHqPPflyYE6EAl2b38VRTTIjgYCCgLOoezDKVovrew+TtFe+FcbHrm899or5KKEEnET/ivqiNHy/y4PtlHZODDDVYT51D3LEZjgI+0nJqZB5hmGPw6YqM85kgzHO6LXM5xhZWAqKkuf0qqqK2HzvyjW2TBE0WYrxvn8k6oJlaIuEnlY4AFgtB8Dq+Pc0dypW8tk4Xf+dGgMpz6FhbLU03go2Y3sQgTMjF4LJATrql74fOdN80cnYxHulYzqFWYuzTR/iX01kTOkJsHvw/y8okZQ4f6cgPbOjR4/Go48+iuOO0wb466+/HgzD4F//krPVHQHPC2hU6IL/lzjm2V8lGu+tx/RDjiLsk25lMaJIW/yu2b4Ls344Qrpdd+0Bg/I1ydZWecIGP8WOoKF6n5ThzS7UAujm2go0VGxC6bCZ8LbUIxryIbckWQhEerMaUb1tCUR3n//H3llAt3Flffw/MyIzO3GYmZOGmqZpoJCUmSnldgtb3rbpt8UtbZkZNymmlEKSNkkbhoa54ZhRliwa+M6bGZEt27It2bJ9f+f4aECaGc8bePfde/8XHXuEztNk+VGHdyyHy+ovB2X0VOJIzknolZ2GTinaoEF5lQeb82oqyHphBnGXVO3/tDo92HjU/13WTx3eOVntIAeWYDq8ZTGMcanoNuhYsAjxDUfK4daVM4fmJCFN7Vw3P/byfBgFEfFp3SBWCzdj56HC6UH39No9Wuo53bUa+XIqPPEdMLpLCg6WOdTrwCu8ZK8sRe62pezL6ny3tHhfh6Ksyo3cSjd65HQE76rAvhI78jMn+TxPqRXbMXXlxWpu+19nrkSXzl19Xqj1hytw+sKJqmpw6cVLIaWFHnwJB1WopXg7tuXXbHdRiENR+li1jY7/5QQIVQUoPf8XSFnB1xkL391x4AhM+Wt8y8wGAcP2vwVj0WZYpz6HPxNO9KUIVIcZu6O6pKgGTH3k7tmAuNQOqCrPR+e+wfVUGULpbsjx2VAsqXA57Or1p+j135kmAJ/aCbmmvjBVFWF8JyNM+39G4son4ex/Liqnv4CGUJz7Nypyd6Hr0BNQvncFusRr/5+U0gN/VGTUWl4l2WxQFWhDUWJ3Y3ehFR1sO9G1/xhYKvdrStlhpAJ4r0lXuWbdFKeO9IUYB967FQ4PNuWGvs9Hb34IPXK/g238/XCMvrnefR4oqULlgTWwuP25yDkFv6Pn0fmw9T4TjpO1XNkDpVXqAEvvA59ixM6n4eh9Kmwn+/MO86xOdWAzO0nzYOZbtYgJ5nXadzQXfZxb0DlFO35RlrGr2ImcAceqtbTrwlqaB1dVBVzmZKQU/oUM/XnDBhnYPce8WEO3P41E+wGUn/YJPN2053x92CvLUJG/H536hpIwDA2L+vEU7oIJbpTz6ejbMQ2mxAzsL7Gjf3aiL0Vh/eFyJB5dBnN8MroPmaxGY4QLO8eVRQcwoFffkCJN7H1TkbsTKTn9kFyxC+ZOQyF7jXFFhjFvLTzZw33XGwvDPrR1GeJSOsKSmILC3Vqpp6Sc/qpidW3X4dG965HdfQhM5uD3IueyQrAehJil5dVv2r4V03/39ykqj3sUzmFX1f4PslSs3A3Yl1+MgrQxkPU0kPR4IwZ3TILocUGWZRQe2Iweg8YjPSMJZWV29RkvlO+DUPa3mrJzsExLFyhPHgiHpQNm/HkWkm37sGjiXGT0HB3WvcLonhaHXvIBNdJATuhQb5kxdm4Obl0Gjz04d18wxaPX6FO0c1BehJJDW+GxlyLBWYDh25+Ax5iEwktWwtQAIcZQsOv+SFEJBrm3gtOF5o5WOLRUpviuqEys+S4Z3z0NpoAB+0A8bhcObV4MOWc0+nbuAMvm95H0x0PI73ACNo57WQ0i4cGpnz0z4n39A+/9zQbpApFEEYe2LkFiVg/V6bAptwLZCUb0dGzBkRIr0vodh9ydK+Gp0kare6TFI2vTCzAWb8PBic9gXfKJmPjX7eozyH7847APuizo/rFXlCB3+1LEZ/VE5z4jQ97Xu4/mo3+vfr5os/reR/bi/f7za86GLW0wJvb0D7xszrXWql4/YN+7GLz7JTgGXADbtJr6Brz1EAwlmvHOtrFN7g5HnDYQN+u3qepzd8f0z5DZv/ba6O0Bg4FHWlqC714nWj/p6QkQ9DSyNm1g5+XlYcqUKZg7dy5GjvQ/lB577DFs2bIF8+bVXZuxNgPbam3Z8gPMyLng5R9xneFHXDymSw3PNUPsMhGezuNh+esttQSKc+J9aEsYDi6F8eCSWte7RlwNOVkz7gxHVsK479eQ31PPU68ZaC2wGzc5OU69Btm1GIskvz8OgvUwXP3PhhKfBffA8yBlDQJcVqS+O0pVyC67aS+g591HBdGBuBVPw7z5fTXvu+KK5ZDr8TJ5Mf/1NoTiHepxi10mwLLyaXB6SRsvQsFf4B2lcA25BK5RoQXhIt3mVWv/h/gfb4CU1AVKXAYMhZvgGHMLnMdGTgCJs+XBsu7VkKWL5KROcI3UBO6iCV9+AMa/f4J566fw9Kx5b3q6Hw+xu2ZQcvYCWNa/od7fQsV+2Kc+DffQSxu1X+PfPyN+yYNw9zoRjhOegOHoanUZw5C/Doa89XAOvwqOKX7BrZa815M/nKQaX5XnfgOxc/16BEQEUWSkvtbHp5NgP+lluAec0+zP+MQvzoQxdw3cvU6CnOL3zIvZQ+EZoPsjZRFxf9a8Zs1bP1EjfKwXL9Kez5HEU4WkL8+GlNYHVdOfY3kMiBqiE0LxdsStfAZSRs34aDmxA1yjbqhzE4ZDy5D0zYVqyLN7gBbdxXD3OQVSJ81rHWnif7sP5i0fwXHMrWr/LPnj4yGU7kHVGR/B1aNmWcloYzi4BMaD/moX1XGOmA1FH9RK+t/JMBRuhnP0zXBMql9YLZDE+RerfTd339Ngn/km2jOtoT9HNAzWnuEa2K06RLyqShvtNZuDH+4mkwlOZ+0CQnXBvElsxKkl4S0m3Hd8Fs5ZvQDYWMuX4i3A6DOBU+aos43zU8cwm7cBf9X+cLaMOhfwttOOnbV/ly3vNgG4WutIt6abOGbJGQpYD8O862t11tL3WCDtGKh6ezOfBRY/grTs2sPYIwIbefe2OScgpWNnoJrQX61M1dSlfU+NLR8BjuA8SS/xhesQn/ZPNAfx3bUQR6HyCMD+2H2d0xdxkXoerX0HWPRvdSAkJJ1GIl4/N1Elfx/wp1buSwhx31qYKvYIXbXZ7Qy6txM6dEdCY8/HmHPUP+abUv1Tu/fUeG5YOvSGpZmf/7Xe67euV42LJCYqJLTqV3XrhAld5W5QJxM69mj8ddeUZ3znYUDuGpj2+VNQVIZdAEzQqywwHZTa3n+cgOSufcJ/NoZNAnDTH2oHMoqmtUbe38A8LdTbeCiEgdhhKOKn3Vn3NgzMAcOBd5TAEnCuLDl9gbSGV5kIiwlXA0NmIS5nGOKSE4BpDwJfXIH4LgMQ3xJ9zI2b6+5TjbnA36fqczxQuBmWDj0b/jxk1+zBJTBldIWphfvSsUJM9+eIqNGq39pew9rjCQ5zYfNxcY27oGVZgdUa+ZqUDeXEEQMAw+1wuUUoIUI6PZnHQCxr+VD2aGFIGwZjHaGgLjkFsv7/G5IH1fpdhePg6TMLUis5V61hxJMf/wBMKf3A6SHOLmNnX1sICX3Bnfx69K9NUUSc3uZix5HwOE2As3H7tAy/uoYHm6EIRtVr5f3fot7mlh4QZrygejkYMgsn7zoLiND+uc4nwjyqAFwtZbvkpBy4muM+yZ4M8+R/g7f7U0MC8aQN910/nCcOFr2dWairK3NCxM6HkNgfpoDnhmJOhrPXuRHbfuTudSYYUbuYJBEdhClPw7j7WyjMQ5oyMnLXXQOe8dzwm2HmU2pUHBCzh8DjPR7mwa7l/Sd2HNWkZ2NMYOkN0/TnIJSFrg6jPhfqbZskGGe+CUPBpqCl7sR+0esbxPXT/ljEe5kdhqT+SDrjNVjN3VqkP2JIH1Fnn8opJUHx9qlypkA4Ngmu7mc0+LrnBl8Ls2yGmDO6TfdR20p/joieB7vV52CPGDECL7/8MqZN86sl3nHHHZAkCS+99FKrzcGm3I32CbV7+4PavH1C7d4+oXZvn1C7tz+ozdt3DnarroPNQsEHDRqETZv8o5JsvIDNB+ZkEwRBEARBEARBEES0adUGNuPSSy/Fp59+ilWrVql510w53G6346yz6i9TQhAEQRAEQRAEQRCRolXnYDPOPPNMFBQU4LbbboPNZkO/fv3w9ttvIzW1aWUjCIIgCIIgCIIgCKJdGdiM66+/Xv0TRRGGEDU2CYIgCIIgCIIgCCLatPoQ8UDIuCYIgiAIgiAIgiBaijZlYBMEQRAEQRAEQRBES0EGNkEQBEEQBEEQBEFEADKwCYIgCIIgCIIgCCICcAorHE34YKdDlmPjlLBi5pIkt/RhEM0MtXv7g9q8fULt3j6hdm+fULu3P6jN2xY8z4HjuLC+SwY2QRAEQRAEQRAEQUQAChEnCIIgCIIgCIIgiAhABjZBEARBEARBEARBRAAysAmCIAiCIAiCIAgiApCBTRAEQRAEQRAEQRARgAxsgiAIgiAIgiAIgogAZGATBEEQBEEQBEEQRAQgA5sgCIIgCIIgCIIgIgAZ2ARBEARBEARBEAQRAcjAJgiCIAiCIAiCIIgIQAY2QRAEQRAEQRAEQUQAMrAJgiAIgiAIgiAIIgKQgU0QBEEQBEEQBEEQEYAMbIIgCIIgCIIgCIKIAGRgEwRBEARBEARBEEQEIAObIAiCIAiCIAiCICIAGdgEQRAEQRAEQRAEEQHIwCYIgiAIgiAIgiCICGCIxEbaEoqiQJYVxAI8z8XMsRDNB7V7+4PavH1C7d4+oXZvn1C7tz+ozdtee3IcF9Z3ycCuBjNoS0vtaGkMBh5paQmwWqsginJLHw7RTFC7tz+ozdsn1O7tE2r39gm1e/uD2rztkZ6eAEEIz8CmEHGCIAiCIAiCIAiCiABkYBMEQRAEQRAEQRBEBCADmyAIgiAIgiAIgiAiABnYBEEQBEEQBEEQBBEBSOSMIAiCIAiCIAiiFmRZhiSJYZ8fWebgdApwu12QJKoIFOsIggE8Hzm/MxnYBEEQBEEQBEEQIcr3Wq2lcDhsDT43xcW8apgTrYO4uEQkJ6eHXYqrLsjAJgiCIAiCIAiCqIbXuE5MTIPJZG6Q8cVKOpH3unUMorBIA5utTJ1PScloWwb2N998g3nz5mHu3Lkh1xcUFOCcc87BXXfdhTPPPNO3/LvvvsNbb72lrh8yZAgeeOAB9OnTpxmPnGiriKJH/TQYjC19KARBEARBEEQzIcuSz7hOTExuVC1sUSQPdmuADZ4wmJGdlJTW5HDxmBE5W7x4MebMmQO3213r6ML999+PoqKioHCLJUuW4OGHH8btt9+OH374AV27dsWVV14Jm63hoRwEEYjLWQW8eQxsb0+Dw26lk0MQBEEQBNFOkCQpyPgi2jYmvZ0bkmsfswa2w+FQDeTbbrtNNY5r46OPPkJhYSHM5uCL/O2338a5556L6dOno0OHDuq22KjDt99+2wxHT7RlCsusSFcq0Ffeh+I1n7X04RAEQRAEQRDNTCRycon21c4tbmDn5uZi3759+OyzzzB16tSQ39mzZw9efvllPPvssxAEwbecebs3bdqE0aNH+5ax9SNHjsTatWub5fiJtksll4Af5PHqdL/kpo9mEQRBEARBEATRtmnxHOxevXrh448/Vqd//fXXGuuZEX333XfjhhtuwIABA4LWlZSUwOPxqJ7rQLKysrB58+ZGHxPLmWhpBIEP+iSaH5ckw6NoAzoCzzXLdUHt3v6gNm+fULu3T6jd2yfU7q0TVmqrsXidoexTiZEqXQcPHsDmzRuRnJyM44+fqtpQa9euRllZKYYMGYbu3Xs06PdNYfHihar9xvYbazBxuqb2+Q2x7o5/8cUXkZSUhKuvvrrGuqqqKvWzeti4yWSCy+Vq1PHwPIe0tATECsnJcS19CO0W84HDGMwfUKfjLALimvG6oHZvf1Cbt0+o3dsn1O7tE2r31gWrY81KbTXF4IoVR9nOnTtwzTVXYMKEY9G//wCMGjUaN954DeLjE9CtWze8+OKzuOyyK3HVVdeE9ftp06Y36Xj+97+PcMwx4zBixAjE0oAKSzNOSYmHxWJp3QZ2XaxZswZffPEF5s+fH1LNzWtYsxGYQNh8XFzjDFNZZvXuNMO9JWE3JHsQW60OSBIpELYEhr8XY6huYK/aW4T+Q+1R3ye1e/uD2rx9Qu3ePqF2b59Qu7dOWOkmJqzMSm01VA2c+Q9Zu7M+fCx4sDds2ICUlBQ8+eRz6vxjjz2MDh1y8NxzL6nza9euwh133ILjjjsBPXr0rPf3TVVHVxTN5oollXXWzqy9Kyqq4HBoAneBMLss3AGTmDawWfmtyspKnHTSSUEh4w899BA++eQTtZwXy7kuLi4O+h2bz87ObvR+Y6ux5Zg6nvaE5Kz0Tbs9UrO2A7V7+4PavH1C7d4+oXZvn1C7ty6aUsPaa1THhnG9Dn/9tV5VRf/qq3kYM2YcsrM74PTTz/J9Z+TIMWpU8e7dO2sY2KF+v3fvnhoh3izsu2PHHAwePESd94agl5aWoFu37hg6dHirEIxrzIBKqzKw/+///k81pgMZP368Wq6L1cFmoeCDBw/Gxo0bMW3aNHU9G3lgwmeXX355Cx010VbINvkjI9x800JFCIIgCIIgiLaBw1PTw+mF5ziYA0LK6/ouMzctRqFR3w0X5ngsLy+DKIpqHvWAAYNx3XU3BX1n27Ytaknkbt16hPX7zz77CGPGjA0ysNmyceMmqAZ2fn4ebr/9ZsTHx6FPn3745JMPkZmZiaeffl4NS2/rxLSBbTAY1L9Qy5lxzbjssstUQ5wZ3iyO/7XXXlNzs886yz8qQxCNoWuC9pD7RJyGQ9kXYTidRoIgCIIgiHbP5JeW13oOju2ZjhfO1ry4jBNfWwlnLR7RUV1S8OYF/h7m6W+vQbkjOPXVy8AOifjo0lENPvcnnngyiouLVE/yP/95b9C6ffv+xq+//oTvv/8GV199HQYMGNig39fG888/jYEDB2HOnEdVrzWLQL755mvxzjtv4NZb70RbJ6YN7HA4/fTT1frYd911F6xWKwYOHIh33nlHzRMgiKbAebRcfBviIMdCjA9BEARBEARBRAjmmU5MTFS9zEuX/oYZM05G167dmrRNp9OJFSv+xGmnnYmvv/7ctzwtLQ2rVq0gA7u5uf3223HrrbfW+Z3Vq1cH1cJmXHPNNeofCw8PJYZGEI1BdFjVzyrFAjKvCYIgCIIgCMayW4+tM0Q8kF9vmlDrd6tnJH937diwvxsJRo0ao/5dcskVuOWW61Q18Wef1YTPGkt+fp4abm6329SQci8sP7tr1+5oD8SUBztUOHh1vKHhoSDjmogkO44WYRyAfxq/xPclvQH8g04wQRAEQRBEOyeuAbnQ0fpuY2Hh2iwkfNKk49GhQ0d1GQvjZvnUixf/GtY22PcVJTjs3el0+DzVjGnTTsLkyVPQHiF3L0HUwl9xE33TOUohnSeCIAiCIAiiVcOclfPmfYa5cz/1LWMCZkzxO1QOdiiSk1OQl5fnmy8oyMeRI4fV6ZSUVDXk/Ntvv1Y92YFq5ExpvD0QUx5sgogl1scfh/fEk3G14WcMyk5A9KtgEwRBEARBEER0ueeeB3D//XeqYdwsbHvZst/hcFThllvuCOv3s2adhn//+0FVzCwtLR2//LIAOTmdfevvuut+3HHHzaqSOFMbP3z4IH77bSH+9a//Q3uADGyCqAVJVqD4Ml4oC5sgCIIgCIJoffTr1x8nnTTTN8+M3o8//kI1eisqynHOOedj2rQTYTQaw/o9+25GRqYqZsY0sJ566nls2bIJqalaePiQIUPx6adfYNGiX1FSUoTu3Xvgvfc+Vetha7+f4Ztui3BKoO+egCTJKC1teV+lwcAjLS0BZWX2Jhc7JxrHk1/9jlOPPoepwkZUjboJ9gn/ivqppHZvf1Cbt0+o3dsn1O7tE2r31onH40ZJSR4yMnJgNNauAVVXu1Mfvu20d3p6AgQhvOxqysEmiFq4tOwV1bhmbMutoPNEEARBEARBEESdkIFNELXAwR854BQlOk8EQRAEQRAEQdQJGdgEUQtpZv/tIZJcAUEQBEEQBEEQ9UAiZwRRC52SjYAVuNV9MxI7nI8hdKYIgiAIgiAIgqgD8mATRG0oWli4DB4kBUgQBEEQBEEQRH2QgU0QtaDImoEtMQObzhJBEARBEARBEPVABjZB1MLfhZXq5+umFzGudD6dJ4IgCIIgCIIg6oQMbIKohWWmSb7pLtJhOk8EQRAEQRAEQdQJGdgEUQvfmk7Di+JZ6vSQjgl0ngiCIAiCIAiCqBMysAmiFiSZZV5z2gwlYRMEQRAEQRCtlH379mL+/C/x22+L1Hm3240//liC7777Rl3X0N83hYULf8bmzRvr/M7+/fuwYcM6RIJly5agsLAAzQUZ2ARRC6lSCbJRps+RhU0QBEEQBEG0Pnbu3IGrrroEa9euxqFDB1BaWoIrrrgQn332EbZu3YwbbpiN9957K+zfN5W5cz/F8uV/1LpeFEX8+98PIjk5BZFAURQ89dTjaC6oDjZB1MLTjjnoYTiiTu/Mt6ILnSmCIAiCIAiilcG8xampaXj88WfU+UcffQhdunTFM8+8qM6feOIpuP32m3DCCdPRs2even8fbebO/UQ9jj59+kZke8cffwI++ug9LF68ENOmzUC0IQ82QdR6c8i+aYdHpPNEEARBEARBtCqY13nDhrWQJBGff/6ZGnrdqVMXXHHFbN93RowYBY7jsGfPrrB+HyrEmy1j3nAvLpdLDUH/9tuv8ddf61Uvcjiw382b9xlmzjwtaPnu3Tvxww/zsWTJYuTn59X4XX3rZ848FZ9++gGaAzKwCaIW4gPiO8J8JhAEQRAEQRBtHU9V7X+iswHfdTT+u2FitVagsrJSDbvOy8uDw1GF2bOvx5Ahw3zf2bJlk2oAd+/eM6zfhwrxZstWrPhTnc7NPYrLLjtf9Rrv3LkdzzzzBG6++VrY7bZ6j5cZ5bIsYeTI0b5lb775Ku6++zZs27YNS5b8hksvPQ8//PBt2OsZU6ZMw969e9Rw93YVIl5aWopVq1Zh5syZQcurqqqwevVqdX3Pnj0xatSooPWSJGH58uUoKCjAkCFDMHDgwGY+cqItkmbhAQ9wpusRdM+ehAdb+oAIgiAIgiCIFifrrX61rnN1nwrrqR/55jPfGw6uFuPY3Wk8Ks760jef8dF48M7SkN/1ZA9H+Xk/NvhYp007UbWRiouLcNttd9YQLvvppx9VY/Taa29E//4DGvT72nj++acxdOhwPPTQI9qxezy45Zbr8Pbbb+D22++q87fr16/FwIGDYTBoZioz7OfN+1QNT58w4Vh12Z9/LsORI4fCWu8lIyMTnTp1xrp1qzFgwMD2YWCzk3PvvfeipKQkyMBmIxHXX389unTpgh49euDFF19E37598frrr8NkMsFms+GKK65QlfDY8v/85z+49NJLcccdd7To/0O0ARRJ/ZDAQ3JWtPTREARBEARBEETEsFqtSE/PUA1OFuJ9wgnT0K1bjyZt0+FwYOXK5TjttDPVkHIvSUlJWLNmZb2/P3ToYFDuNTO0MzKy8Pbbr6G8vAzjxk3ApEmTw14fCAuNP3w42PBuswZ2UVER7rnnHqxYsQKDBw8OWjdnzhxMnToVjzyijYCUlZXh1FNPxUcffYRrrrkGr776qhrS8NVXX6kG9+bNm3HhhRdixowZqjebIBqNrOVg32KYj5OOPIg/lzyJ/lMuoxNKEARBEATRjim6bnftK7ngDNziqzfV8V29HKxOyeWrwv5uJGC51+zvoosuVT3ML7zwHP7735ebtM18Pf/Z6XSqIeVeunbtjl69etf7e5utEhZLXNCyl19+E6+//hJefPFZ2O12dUDgllv+ieHDR4S13kt8fJwa7t7mDez8/HzVY82M4bPPPhu7du0K8mqPHDkS5557rm9ZWloaxo4di7/++kudX7BgAWbPnq0a14xhw4Zh+PDh+PHHH8nAJppEeZUTGQBOErQafMO2PQoXGdgEQRAEQRDtG2N8y3+3kbCoX1bPevLkqejYsaNv+eDBQ7F48a9hbYPnOci6I8oLy81mZGRk+HKemXp3Q0lKSlaN5EDYcf7730+oacHbtm1Ry4vdccfN+Pbbn1XPeH3rvbDI55ycTmjzImfMrf/ss8+qHmlvgwSue/DBBzFgQHA+wP79+5Gamory8nLVQO/Tp0/Q+l69emHnzp3NcvxE2+V7BIeXHDD0xnnvr8W2/OiPfBEEQRAEQRBEpGFOya+//gJz534c5NRk4dsDBgwKaxvJyanIy8sN8lofPaqVtk1OTkG/fv3x7bdfBSmHMzVyFoZeHx075qCwMN83z6KXWah5VZUdgiBg2LAROOec8+F2u+B0OupdH0hhYYG6/Tbvwc7MzFRDwMPlp59+Ur3cLGS8okLLiw0cmfDOe9c1BoOhxccdIAh80CfR/DynXIajYhIeMGr5I985huGAzYE752/Fols0EYVIQ+0eo3iqELfiKXj6zITYeVxEN01t3j6hdm+fULu3T6jdWyey3PiQbG80N/uMxUo099zzAO69959quHTXrt3wxx9LVSGyf/wjPA2rU089HXPm3I9nn30SaWnpWLjwF3Tu3MW3/q677sftt9+Mf/zjeowZMxaHDx/E0qW/+0TP6mLs2Al48cVnVOOclQ5LTk5W61f/8stPmDx5iuql/vHH73DKKaciKytbna9rvZeKinI1/3rcuIl17l8QuCbbgi1uYDcEJnj2wAMP4M4771RDwZknm8HzwSeBNUZjYSEPaWkJiBWSk4NzEIjmgz0PFfivpVnCanTjCrFKHI20tBOjum9q9xhj8X+BjW/DsvFt4P+iI3hHbd4+oXZvn1C7t0+o3VsXTqeA4mK+SQZXrDjKBg8eBEny+P4Plm47b95X+O23RWpE8CWXXIapU6fBYDCG9fsZM05Edna2WpbLZDLihRdexubNm9QIY4OBV+20zz//GosW/apqbfXvPxDXXnsDunTpqv7+pJNOQbdu3UKe18mTj8Ozzz6B7du3qDnU7DuvvfYWli1bgn37/lZD0++99wFMnKg5u+pb72XVquXq/ocMCdb7ChxQYTZlSko8LBZL+zCwd+zYgauvvlr9Y+JmgZ7r6nH6bD4xMbFR+5FlBVarlkPQkrAbkj2IrVYHJCk4x4FoHhLlciRz/mtrJL9X/ZuBDSgruzUq+6R2j00ScrfB5AtVCn7eNBVq8/YJtXv7hNq9fULt3jphIcbMWJMkBaLYsL448/Wxdmd9+FjwYA8fPlr9C/w/0tOzcO65FwV9r7b/M9TvBw8epv556dixc9A2UlMzat3++edfXOv+LJYEnHXWeZg//2vf9gXBiBNOmKH+hTrW+tYz2PYuueSKWv9H1s6svSsqquBwaJWEAmF2WbgDJq3CwN64caNaquvmm2/G5ZdfHhRezkZKDh06pI7EeGHzrGRXY2noTRRN2I0ZS8fTnljG3wQTJ9ZYnmbwoDLKbULtHltsO1qGkfp0tO5HavP2CbV7+4TavX1C7d66YAZXY/Ea1bFgXLdGLr30Slx99SU4cuSwz+vdFNatWwOXy4WTT55V73cbM6BSndiIW6iDdevWqSrh999/f5Bx7YXlbzMlcW8S/dGjR7F+/foG5XUTRCh4hL65FE6gE9bO2GrURlA3yvWXlyAIgiAIgiAaD4tSfvDBf2P//r8RCfLzc9X8byag3RzEtAebCZUxr3WnTp1UWfVPPvnEt65Dhw5qretbbrkF5513nho2zkp6ff3115g+fTqOPTY6IlRE+8HAhTawTUZvsDDRXvDoj8ojSia0ACiCIAiCIAgiWgwf7o0dbDqnnnommpOYMrCZgcxCvr2wpPhZszRX/r59+4K+yxTiGJ07d8Z3332Hb775RpVpv+uuu3DyySc385ETbQ7Fb1zPlybiTGGFb95ZMy2DaOOsM43BSvc/UaikIrIa4gRBEARBEERbIqYM7GnTpgXNs/rWc+bMqfd3LBf72muvjeKREe0O2Z97HWhcM9yUEt/u4CU3RvN7kK+ktfShEARBEARBEDFMTBnYBBEzKLW7qZ0SRzdOOyNTzMcNhu+xWe7Z0odCEARBEEQz4tV5Ito2SgTbOeZFzgiiJXC4PCGX2xQLXjZc2ezHQ7QsPUQtRWUYv5+agiAIgiDaAYIg+Mp1EW0ft97OgtB0/zN5sAkiBJLC4ytpEs4R/vQtWy0PwAXuOeiREIc76Ky1K6Yrq1r6EAiCIAiCaEZ4XkBcXCJstjJ13mQyg2MFrsNElrkmlfoims9zzYxr1s6svXm+6f5nMrAJIgSiYMadnpuwTu6PJ43vqss+F6eon3wDHq5E26BjogGgAWyCIAiCaFckJ6ern14juyEwQ02WSbintcCMa297NxUysAkiBLKeh6HAb0xPELajL38EhdIgAGPovLUn6sjJJwiCIAiibcI81ikpGUhKSoMk+QVw60MQ2O/iUVFRRV7sVgALC4+E59oLGdgEEQJZkmCBCyb4DatzhWXq5zbPXgC30nlrp6ryj/y8C/dN7wuTgSQsCIIgCKI9wIwvnjeF/X2DgYfFYoHDIUEUyYvd3iADmyBCwNnysNNyVchz0zXZSNHC7YzCCjs66dPjdz2BRYnXYeakY1v4qAiCIAiCIIhYg1wwBBGCunJmmOgF0b7Yje6+6UsMi5Emlbbo8RAEQRAEQRCxCRnYBBECI1e7gW02GemctTPcCB5USUswt9ixEARBEARBELELGdgEEYKMeC17QuTNeEk8M2hdkT18kQuibfAZZuJW982++XjbwRY9HoIgCIIgCCI2IQObIOoQtRIFC241zA9aZXWHV9MwYdlDSFxyP53fNsBRJQM9uXzfvKVyX4seD0EQBEEQBBGbkIFNEHWUZVKqhQYzPHL9dbBldxXit7yPuG0fw1Z0gM5xKydTKcEdxq9886VVnhY9HoIgCIIgCCI2IQObIEJwuNSufsZ5aopZvZ98Y73nTAgo72WvKKZz3MoZrWwPmjcL9Q+yEARBEARBEO0PMrAJIgQuPh4LpLGoUmqKWRUYu9V/zmS/ge2oskb1HDvsVuycdzcO7VgZ1f20Z27lvwyaz0kmkTOCIAiCIAiiCXWw3333XZSVlaExzJ49G2lpaY36LUG0BPb4LrjJczsuS1iLR6Xng9bxYTgvnW63b/qAZQh6IHr8segLXFg0F4sX7ka3gd9GcU/tFyMvAwHC8lUpfWFpyQMiCIIgCIIgWreBPXfuXOTl5YHjGhYa6fF4cN5555GBTbQqJFkTMgt1vU+s+g3AkDp/73BpBrakcKhw+b3Z0aDYaoPAKYiDK6r7ac9wuuidf0HYj06CIAiCIAiiHdGgXuKPP/6I7t27N2gHM2bMaOgxEUSLo9vX4Dh/FsV30gScLqzEeMcSFjRc5+9d5gyMcL4JA2Rc5IhuWa/BOamAFciIqynIRkSHnfnlmEgnlyAIgiAIgmisgT1kyBBYLA0Pimzs7wiiJUktWo0DlquBALFoZlwz+mfFQ5NAqx3muZ7Ab8dpwkp4jh4H4I6oHWucq1D97O75G1VR2wvhZa3cD/uMfcnAJgiCIAiCIBovctahQwf88ccfKCgoQEN4/vnn1d8SRGtClmr3Ohs4JawQ88H8AcwU1iDHfRDRpFvZCvUzQbFFdT/tmWIl2Td9DL8bCWZjix4PQRAEQRAE0co92CtWrMD777+vTvft2xfHHXccJk2ahDFjxsBsjoyi7uLFi/HFF1/gjTfeCFr+559/4p133lGNe+YRv/POO9GxY8ew1xNEQ7HUFW2tBKhd1QJvL8AtBk1wbGhOAqJp+tpc0Q1BJwCp2lhksoUMbIIgCIIgCKIJHuz58+fjq6++wn333YcuXbrgyy+/xNVXX42xY8fi2muvxYcffoi///4bjWXDhg245557UFiohbt6Wbt2LW655RacfPLJeOaZZ+B0OnH55ZfD5XKFtZ4gGkPPNG3QyJrQE495Lglal2911L8BZ1nIkl3RwGyganteKkpyocj1D4A0lMc8l+I+zzW++Qzb7ojvgyAIgiAIgmj9hN0z53le9Q5fddVVqod59erV+Oabb3DHHXfAaDTitddew8yZMzF16lTMmTMHlZWVYW3X7XbjlVdeUY3i5GR/GKaX119/HaeffjouvPBCdf/PPfecuu3vv/8+rPUE0Sh0L7VoSMBNuifai7Wq/sEbJVB1WomugZ1E3lSVnb+/jz5zx2LXVw9E/BwvlYchKSDDPatiU8T3QRAEQRAEQbR+Gu36Ygb3oEGDcOWVV+LZZ59Vc63POecctVb2vHnzUFpaGtZ2Dh8+jJ9++kk1smfNmlWjxNe6deswfvx43zKTyYTRo0dj5cqV9a4niEajaAaywglI54IDvLnAgsi1kJPoz77YW1AR1YYoSxupfq4QjkF7Zvi2/6ifxxV+HPFtp3OVeMD4mW++yk1h+QRBEARBEERNGlXMVVEUbNu2DUuXLlXzn7ds2aIau6yE11lnnaXmZnfq1CmsbXXr1k31NjODnRnLgZSUlKih3tXzqZloGtt/fesJorHsyq/AWDaQVLaPWdQ+HvdcjNyU4/B/9fzezPuN8Cq9Jna0cMraOFm+lIy+aL/wBgNLlo44LOT8BH5j0DKTULM+OkEQBEEQBEGEbWCzsOvly5erRjVTEy8qKkJCQoLqPf7Xv/6lip517dq1wWeUhZfXht2uFUOqXuaLiao5HI561zcWQwzktAoCH/RJNC+VhnQskYajC1eENM6f7rBB7gu30LXea0Tg/UrjnCKFfU01pt135ldgGABWbjsWrt2WgheMPgM7kudB9LjxsDHYK94rMx5chPZB93r7hNq9fULt3j6hdm9/UJu3b8I2sM8991wcPHhQDQtnoeDMSz1ixIg6DeSmwsK9GaIYHI7J5plRXd/6xsDzHNLSEhArJCfHtfQhtEtsncfjNo8FN3Tai/tK5/iWy+DBC3y910jRUc2DfUTJxMed/oWXG3hNNaTdCyzdwQpz9+GPxtS129wc7nwC4vd/ARuXGNnz4KpZls2Q1gnJET7XdK+3T6jd2yfU7u0Tavf2B7V5+yRsA1uWZcTFxaleaqYizj6jaVwzsrKy1NDx6vncLDQ8MzOz3vWNQZYVWK1+MaOWHPliN6XV6oAkRV4Vmagba6VTmwiwrX6QxmOGsB4OexnKykbU+fv9uWXIYoa6Ege7S0FZmRZtEY12z1fYnoBOKAl7P22Rbzrehf/uOAtJZgOWRfA8cI4ypFZb5nJJETvXdK+3T6jd2yfU7u0Tavf2B7V524P1z8ONMA3bwP7kk0/U8HD29+STT+LBBx9U62EzTzb7O+aYYyJWD9sL80L369cPW7duxZQpU3zL2Tzzote3vrGIYuwYtMzIiqXjaS94fOfcn2u7Xe6Ge4yfY6+zF0Txrjp/X5g8DBOdL6n1kwdISoPbsCHt3iU9ESgFkkyBx93++GpjrvpZ6RIjes/w7pqq8duOlmNwhM813evtE2r39gm1e/uE2r39QW3ePgnbwGbCYeeff77651Xv9hrc77//vmrsMiObGdssH7t3794ROcALLrgAL730EqZPn47+/fur+2K1ss8+++yw1hNEY+id9z22mf8DqcwfpcGMa0aXFDPqK0Ln4UzozBXjQsNvcFUOADA4ag2R4s5XP1PFIhSh/TIsk0dpWRVmT+of0e0WW+3ICJhfK/fDKsuxUWxRgiAIgiAIol2piLPQ8AkTJqh/9913H44cOaIKoK1ZswYvvvii6uFeuHChqhDeVFh960OHDuG8885Tc65ZrWxWc9sbAl7feoJoDJzkQgLngl3hglTEGQaufs+lJCvoxhXiHOFPbHHr4eZRYkxJcJ3u9srtBffhZcsOYB1QNO5IxLbrdgULJh7D78ZPpvSIbZ8gCIIgCIJo5wa2l6qqKmzatAnr16/Hxo0b1XJdbBkLHWf52g3l2muvxeWXXx60jOVYMyP+9ttvV1XDMzIyGrSeIBqDRb8zZE6ouVKpKXpVnUTrbtxrnKtO98+KRzQrYbuk+o+nPcDU2qOBJGpl1kqUJGToivImY5MenQRBEARBEEQbpUG9RCYexoxp79+OHTtUxW4mNsa82ffffz8mTpyI7OzsRh1MSkpKretYCHpdyuD1rSeIhjAwOx7YBTiyR+Oxo/3xlPFt37oKR82c3Ook2vYjmyvXZuRglftIk2gSgOg6yVsFHsUvPOFxO2E0ReZ54DBl4CHPlVDA4THj++qyLvYtAEZFZPsEQRAEQRBEOzSwmWd59erV6jTzTo8ZMwZ33XWXalCz3GeCaEtwihYGLhqTcK3wY9C6Kpcb9ZluihRgVEfJs+olI8EEWKO6i1aBGPA4czlsETOwqwyp+FyagouFxb5lAyr+AHBFRLZPEARBEARBtEMDOy0tDddff71qUI8aNcpXg5og2iS611nhePThNXVqL1xg7a5a6J3hN+5yy+yIZnVqMV6LGPlCngK/ln57RAkysBNTIqPD4JFkxMGFh40f+5aJMoXlEwRBEARBEE0wsJl4WbiwXGiWG92YPGyCiAV25JXjGAClBQfROWD5re6bUZXQFU/W8/vEgBLxTrcnuga2rrm2X+rQrg3sDgk8vMnuiixFtA72OH5H0DKTUE35jiAIgiAIgiCYRlhjzgJT6Zbl0ErKK1euxGmnnaaWyiKI1koBMrBaHgCbFGApA/hTHoptXN96f88F5F3ziG6I+I48zapkNbfbMylG/zNJiWBYfpZ1C940vRC0rH9WNIdMCIIgCIIgiNZKo3rk8+fPxwMPPBBkZNtsNsyZMwdXXnml6r1m5bIIorWyJe1EXOCeg9U5lwUtZ0ZsONHBhdYq9XOVPBD3xD2KaLLRzHztwFThr1oHvtoDnm4n+KblphVICKJ3Ws1tKULwwAtBEARBEARBNNrAZuJm3333nc/IXrp0KWbNmoUvv/wSV199Nb7//ns1Z5sgWiusjjVDEPxluj4QT8Q5wh+YJfnFrmrjaKlN/SxSUlCJ6KZKbDGPVD/H8TshB4qrtTPW9LgJPZyfqX/u+JyIbZeTPTWXRWzrBEEQBEEQRFuiUW6eE088Ec899xzuvPNObN26Fbt378bgwYPV0HH2SRCtHVmvdc1z/jGoP+SheNf0HIrlVCj4V52/3555Ev69qyOqFAssUXYqW0x+b6oQ5XD0WOa+73fUaL+IINU0sHcXVKBL5PZAEARBEARBtBEaHUd58sknq95r5s3u27cv5s2bB6ORwiaJ2GXvqm+RkN0TOb2G1fvdY/M/xI3mz5GX78+3ZsY1I8UiQK9wXStVfBI8MOBmw3zIbhbNMQbRIs1T2CCF87YKJzogQMEb549E17TIRQ3syC3BuID5bXJ3/GA5HTdEbA8EQRAEQRBEuzOw3333XZSVldVY3q9fP+zYsQO33norevfu7Vs+e/ZsChMnYoZD21dgwvqb1emim4/U+32TZEcWZ0Wh5Kyxjhlx4YSYZ6IClxoWI1fqgGhybsU7vmlOkdqtif2zcj1SLHbIPxhRdvHvkFN6RGS7TmfwNTCYP4iXTP5nHUEQBEEQBEE02MD++uuvcejQoZDrWE3sP//8U/3zcsEFF5CBTcQMR0vKMJp9KhkIp4K7mdfjupmYVfW05jAUqjtb1+FWwzfqdIcEA0oRPQKjoR1ONywxWKJ+z8qv0HHjc6iY9hK69IuON9+giGpyNC97wImuiG2Xk93q5x/SEBwnbFWnFcrCJgiCIAiCIJpiYP/444/hfpUgYg4Tp1mhdsUSloE9pGMCUAikdB2Kh3cMx7+NH/rWucX6Dewu1r8wWdikzUSwZFQoUuMMgG5PukQ3LIg9Jm64Tf0sXnozlH6ro7IPY8BISIndhdSMyGz3YMJwPOm5CFbE+wzsvo6/AAyMzA4IgiAIgiCI9qcivmjRItjt9gbvoLG/I4hIMjBLM6vdMEIJQwCLhVozJEMCzheWBK2TxPqVujlZCjkdDTol+4cMlDCOrSWJUxxR2a4iSzBx/vNsd9UUJmsshy398aZ0KtKgKcMzplR+F7HtEwRBEARBEO3QwH7qqadQXFzc4B009ncEEUnMkjbIM4Q/ANETRviwXk9a4Xg155ZR1PnEsIXE+mSYfdN2lxZiHDV0A/418XS4zLFdHq8oMTpVBjye4HMcziBKuIiSdi3cY5znW8Yr7bfeOEEQBEEQBBEhFfG33noLycnJDfkJysvr01smiOhj4vwGkcdph9FUdyD17oJyDAeQm5cLr1TWgZEP4N79w8ALBjxZz/5SAuLQo12bWtK3v0PuhmMbXxggqvzBH4Pj5LXYGDcex0Zh+0L1WtX6AEkkSHDkYhi3L2iZgW+vUnIEQRAEQRBEXYTdG09MTMQvv/yCxsDzYTvKCSIqHCixI12fThRE1Gd+HZYywMs94ArIt45LSMZv8igYwhC48gpjMYR699Y09hVVgvmFJfCRrf8cQSTmYRaALQWOqBjYhoDwcIYSwXM+ufxL3Gn+ImjZgKw4WCO2B4IgCIIgCKLdGdjffKMpIhNEa6TUE1CjXaxZeqs6P6Vdih/zTsS/u1QBO79Xl5kMgvZzWVHLcAl87YZ2idWGLgA+E0/A6zgPXyN6/G46AX08uzFTWA3OcTGQyvYcW3wgnYSl8jDsNfaKzg44Hq7eM2H+ewFylXTIXOQ8+UOyLKrgXdDuoixcRxAEQTSMbzbnYVehDTP6Z2F011Q6fQRBtBjkWibaBXvSjkeJkqROc2EY2B5J8wTHGfy3SHKcGSfza3C58AusFXUX3jpaUqF+7ldykK9ENy/6Z/NJqIIZpwqrwTtKEEuIogeyLOE4fgseNn6ME2V/Kb9I4hSSsGrEc+jh/AwTXa/AltwvchsPiEbwL6McbIIgiFgifcsbmLb9Xrj3/tbSh0IQRDsnNhM2CSLCuCUZTr1AV15pObLrKeHkFDUDKtBJzWofP256HxmowF9FZyEtrfaNfJV8JR4vOR75qjc1umHbzJsu6mNlOUkBnvoWxllVCdP7k5Bn6gGO66AuS7FEZ0wv3+rEFZ+y0lkacgRPOSfVVCQ/XGpDw9QoCIIgiGgy3rYQXYRD2FHaCcDZdLIJgmgxWo0He/v27ViyZAny8/NDrt+yZYtaEiw3N7fZj42IfZhH2qloBnaV3V9uqTauL34cS023o2PRMt8y5tQ2p3RUp7saK+v8fQGXhb1KZ1xjWIB/CR9DiaLHM0vKRxanZQQbopzv3RAOrf8BHVCCEe71ODlhj7qsi6Hu89ZYPOqAiGZVrzp+N8bue5FJiUdk23sLyoLm98kd8b7xgohsmyAIgogMXcRD6mf//G/plBIE0aLEvAfb7XbjxhtvxJ49e9CvXz+sX78et912G6688kp1vcvlUtfv27cPPXv2xF9//aWuv+qqq1r60IkYYmj+l+jN56nToqeq3u+nS0Xozhdij+L3CPMGM0zJHYGKXTC5iuGqx2NuhIjrDD+q8/myDCFKYn8PVz3hn4mh3GCpyh9G38mpGdidnLujsi9z6VbsM18KnkULrNaWVfU+FVzOyCZv2+XSUgpYbncnrhSduBJsNQxp8nYJgiCIyMOHUUqTIAiiXRvYH3zwgWpc//DDD2qJsKVLl6oG9aRJk9CnTx+1dFhBQYG6nimdr1ixArNnz1bX9+3bt6UPn4gR4l1F6ud8aSLE5GPQp57vW3TzWTEmqJ8VSjw4noeckK3O81XVVK+qMcG+CMca9vrmeYhRu90CazIXWu1I1w6xxeFFR41lTOlck4qLvEq5alwHUFxcgKycpm9bULQQ8e+kibjB8ANsiINeGpsgCIIgCIIggmiUS+21117D8uXL0Rxs2LAB48eP99XfPv7442E2m9XljPnz5+Occ85RjWvGxIkTMWTIEHz/vab8TBAMXjeSCpU0OOX6L/uuiVrydWa3QbjA9RCudt+t5mMXyCnq8iNHtFC02pjhWIBbDP4wNS6K5bMSA2puW+31C7g1F9tSp9VYJgjRGWSQxZrxBA5eeyY0laXmE/CieDZ2yV3V+UzOimFu7flDEARBEARBEE02sH/++WcYDM3j/E5PT8f+/ft988xb7XA4kJaWBqvViiNHjtTwVDPP9rZt29Ae2b/pNxx552wUHt7V0ocSU4zMiVM/3TCg0FZXcLcGp3tfWbmnU4WVOENYoRrJB1ya0WYtORqW19O3PYV5sKNDmsXvE5ZDCHK1FEUuAz4Xj8fa1Fm+ZfHmgNGACCKLNZW+S62RqVT9u/F4PC+eiy6cFgXBuML5UUS2TRAEQRAEQbQtGmUld+3aVc15HjduHKLN9ddfr+Zb33vvvRg9ejTmzp2rerFPOOEEn6BZSormVfTCvN27djXewDQElGZqKQSBD/oMl7F/Xq5+7v7xehhu8Qt0tXcEWTM8mVd59V95MEyYH5aBzfMcLjMsUqfLTAYYkjU17HhPSZ3XSU4CBwTYd063CwnxKVFpd04XNnvEcxnGpw6KieuXccHEAfgx5SlUmA04ZqmWi27PGgVLFI6PC1FKi/NUReRcsLrnjDuNX/qW8YoUsfPc2HudaN1Qu7dPqN2bh1h5D3qhdm9/UJu3bxplYI8dOxaPPPIIFixYgF69eiEzM7PGdy677DKkpqY2+QCZiFlOTg62bt2K8vJy1ageOXIkJEmCKGpeQUEIzurkeR5KI0NymUGVlqbl3cYCycma57WhZEqFMfV/tDgG//XQV9xT77lxuqpgUZXD/Z5n9htL38m4fv3tUOK7463atrF3EWDVRL28mEza7yPd7qLHDcVRrk6vlgdgUkpGzLR7wpJ70XfDLrwqnomzTUnI4Crxd/dzMSkKx9c9w1Jz/3JZRM5FR+koHFyw+rmBUyJ+nht7rxOtG2r39gm1e+Q5etmf6PzxJLgUY8y8B6tD7d7+oDZvnzTKwP7f//4HjuNURW/2F4ozzjijyQa2x+PBtddeq3qs//3vf6v7LC0txQUXXABZllWxMwYLGQ+EzXtzshuKLCuwWutXmW6OkS92U1qtDkgNUFRKC5guK7NH5dhaI/mHCzFQn041KXWeG1ZSK0/qiDi4YPL4ry32Gy4+G7/IY5FoF0Jvw21D2ifn1FhcWlIGY3x2xNt9z+rvMdZdgVIlEbuUrii3OmOm3ZP3LsQsIR/zpBNURXXG/9blYfCgyB9fElczNP6A0BsDInAuHrY/jq7mw0HLuqaYInaeG3uvE60bavf2CbV79HBwafiXZzaqFDPmlNrUPmOsQO3e/qA2b3uwvlq40YaGxuZgNwdHjx5V616fffbZvgcly8k+5ZRT8Ouvv+Lhhx9WDWmWhz1mzBjf7w4fPqyW7GosolpTNzZgHe6GHI9NsSCRc2IdNwQjY+j/aGlyXRafgc1JrjrPqdMjYZb7SXX6zwx/dAT7TbxBm7e5pJDb4GzBNZNv89yCTXJPPGPIRob+/TyrEy5RRo/0+Ca3+1d56fjFcylmCatwlfAzzKXxEMV0tDQuZxXS7FrN+o9MT+FhzxUQIMPOJUTl/uLMGXB3Ox6mQ0t9ywr5DhHZV6cEPijcn6HIodu/Oe91om1A7d46cTnsMJnj1OoSjYHaPfK8t74Yy5Jm4bqJ3eERZfAxZGB7oXZvf1Cbt0+alKSybt06PPvss7jnnntQXFysKnqzMO5I0alTJ5hMJjU8PJAdO3age/fu6vTkyZNVY9sLOw7mVZ8yZQraIxUjb0FJx+MxcCrVAQ/kg+SbMNb5qjYj1S1yxoxfL8bMXkHrBMmF84QlOF/4XfV0V8fpsAXNb5W744CSA5eiGeYsdWH227/gjg8WoLKq6YrfS3N5vCvNhEMx4wHjZ5i16lzYKorR0lQUBausZ3AVmGP8GFfZ34nK/oozxmLTxLcxGp/6lvXMjIyKOELkd7NIhVDtTxCxxr4Nv2LX/25XDUIiMpTk7UOX9/rj0AcX0ymNIY7Z8hDusD+PkWmemDSuCYJoPzTKg83Cs//1r3/hm2++UfOdGTfffDNef/11PP/883j//ffV3OymwoxrJm72n//8R1UPZ0b1smXL8Ndff6lh6ox//OMfOO+883DnnXdi1KhR6nLmzWYiaO0R07G3q5JXNTNS2zceSYELRnWaU5in0AODQZuvjlM3sA08Bz4pB2Xnfg/FlKQuEyQHnjG+pU7nyw9ACPReSG44dy/0zd7tuQ5HFU2fwKOH/u5c+gnWWu5Xp9cVDUdS96bVaq90aaHX/TqmArrI9aE/P8SgWXeiJfE4Q3fmjXx0ypX9srMIz/y2F2Z4fBf/MfEFLDu7ydvmQiizG6oKsO/j2eh9xftN3j5BRJNxK69WP5f+lIpBZ/8fnewIULj8PQwAMMbxp/exG9O8ufwAyhwe3De9ae+bWGcWtxwmXkLu4V+A9AsBU2zmYRME0fZplAebGbFLlizBCy+8oBq7Xbp0UZd/8MEHaoksli8dKS699FJ89tlnqueP1b4ePHgwfvnlF19pLmbIM0O/Q4cOqqf7oosuUut0x1LuTXPC2/NhKNoK3pbX0ocSU7glWS3R5UV01+E9Lj+E30z/xBfGh7XvdhgJKa2POh1v8ZeZ4nX1bi+JS+9Hn83/UaeXS4PxqzQGl5j+wN2GuRCsByCJIiZv04xrRoqxaR5Q5kGdJK7CsfwWxBn9oeylaaPQ0oiuYB2Dc5O2q59mTorO/nRv8qAO/g5V4t/+OuRNweEM1njwMt7mH0whiFjFBe2ZZUjt1tKH0mZgg7StBVlRsGj1amzcvA6HiivQVpFlCSb9/dJpzcOwlwRHUREEQcS8B/unn37CnDlz1FzoQJjaNzO6J02aBKfTCYslMn7UYcOGqX+10a1bNzVMnQDWfPE4TrF/g6WZF2PQBU/TKdG5yfo8skz7fOfD43bCEq95paujiE704vNRgUpUDw42BCjWc1ywNzZuxzz1s0BJxSWeB9TpC/nF6MsfxCrrLLiqOgd9n4mtNQUWjv6m6Xl12sFP9i1PT0lGSyO5g43STo7d6qdRbnpYfCiGH/kEW83vILHCv33ZE5l98azEGwcskYZjirApItskiObiiKE7eot74DDWXyaQCA9LXITST5oBtyjjF9O9MHMiDnKT2NAu2iKsokYgpeXlSMhBq6Po6G5UHN6BXmNPBc8HV8ghCKKNe7CZknePHj1CrktKSkJ8fHxEc7GJ8GHGNWNo8Q902gLoLu7HcH4fbnbfir7Oj+ASQhvXDEXWwq4l1Hy5KYG3TEAOrr2y1De9Qe6L2cKPuEz4FV3SNY9q/wwTZJetRj53U3DatXtMUjgUuvyedYkLHfrenEgeF9x63nkgMrNUowAvOVRxv0B250YmF92rgP6tfGxEtkcQTUJ0gK88GvbXBU57TpF+XuRw6pbbZuMIxDpOl0c1rhnxQnRSdGIBNmgeiOhqnZoD3A83Y8L6m7Hvk+tb+lAIgmhuA5t5jH/88ceQ65jAGCuTlZGR0ZTjIpqIQYlOKG5rxcByc1mpLSTCAwNccu0djS7JmrGaEl+zLrEYYCB69DrsjErJhG8kzQA7RViLh4yf4lHjBxBMmlI4r7iRIgQb1E5X0zysFlkLw/YICciv8hv7lsr9aGkOp41HP9fH6rkOJCupduX0SOdJs9DISKh/viWdirfFmfDwwdfDXqHpOhME0VDSPp+JjI/GQSjZGdb3e3j+Vj/F/G10siOEg4vHFrkHCoxaelwsI1b608V4tN1+gVTNgy25W77camMYKO5QP8dYKQWJINpdiDjLc77++utRUlKCU089Va1XzUpjrVy5Ei+++CLOOussGI0t70UjCC9dk3igAhAMZrC4b49Yu/HFeQcnQoRnyYrfwHaLoi6bBthFDpvk3jhLWB78A4OWJsFJbnDuYA/24eIK9GpCWmSS7rE1xicHjZUptkK0NF6huBWW4zEmxYaEgtXqfGaCoXrFq6gpfauh3U2EXSZPixeq0w9Yvgha5/a03c4qEbsYyvaon6bd38IxgUlthUenSkpviBTZI0/He56RqvZFrPuwA/UwKhwuJKWiTSJWSwmSW6kH20s7lREiiPZtYB9//PF48MEH8fTTT6sCY4zZs2ern9OmTVOVv4mWpu2GgjXFw/lP/n84x5gOzvookNE/9Jf1EHFwNQ1sngswZGW/gWV3SyhVaoad59kVVcf6YFE5usZpiuJeJHfTOgCcR/u9YkzEorhzMc62SJ3vl9PydbCP65WBTy4bhX0l/VHiyMPZBaeqyz0d/fXqo+3BFkKV12ogXvV3xrXQnnVeZrvvwndN3gNBNI6S8lI0JB6kuigj0TBByZ2/vYOUnmPRqfcIxLtL8dCu0yFAhnuKpi8Rq4gBehisNGTtyVGtmzRz8LzsCS1OGetsQV8MxR7I5jY6EkIQ7YRGGdhede+ZM2eqXuvCwkLExcVhxIgRGDAg/BF1InpwZGAHnw9JM7ZGYidGCsBfzpJaz93RMhvSmNaAs2aHlBOMuMl9K2TwuFPwhwxzZX+jG1eIEiUJGVylb3mRQysUVVZpg+1wHiYEbGvi+n8gb9RMGEzVegZh4rCVg72C3YYEHDL1xhq5P8byu8AbzC3elc7IXYTOO7/An/s74TfXAJxthnpu9vW4GqHVG5pGxwSexf8HwSv+EP7G4vG40Z3Lh0ep+ah82PgRgLOavA+CaAy5RSXQahvUzVq5H47hd0OqbUCRqJctq3/CtF2PoGRnEuRbdkAwGJHOaRFJ+aIIwdDorlTUkQI82LLU9GdirMKldEXxNdtR8tH56O/eCqWJA9gtxcu4AG/hMYiW4AF5giBaF416K5x//vno2bMnpk6diilTpiAhgWoNErGN0+UI8vb0SDHo0lU1qfRwOCRnoURKQ/UMO57nsEAer07/k/enQZhKd+EuY3AIMUPWv6NIbpSqZnsw5Ud3ILNn44IM9+YWgEnt7KkAlHgmdqZ53A2QaqifNzdC2V6Y9/+CgZiCjZymnl6pxKu1ql89r/aKAI2lc2JNOYnv407HDU3cLmcvxFLzP+EJIdhmNsZup5po+2wxjQzLwD5s7I1jpN1IS2o9ytexhsmkpfpUKAmqB9iz7h3fOtHjimkDu0+aUEPAs03C8VDMyViYdhE+PrIX/eKHYyBaHyWpw3Gp4xU8MG0YyMQmiNZLo94KJ510EhYsWIBvv/1WzbUeP368amyzP1aPmmh5lmEUxrb0QcQQpVIcRMhIMHEQPHafRzvkd1OG4CL3i+idHI+51dax+uqcHoAvBUThyy6/1zqQHzNn4997TsSs1JFQ4moK/yl84ztmBy0D8bPnanTM6Iqeru2YIGi1pvcX29C5H1qU3JJysEM4A0twhmkJPhWnYaPSOyLCY6GQU3rAk3MMjHlrfcvW8KObbGCnW7REOIPRDDd4mER/Hv0J8koUNXH7BNFQejg/Uz8nGNPCip9w6695vi0bV1EmMUkrbZXMO9Vnf3GJ/84XRRfMiF0nAyf6Q6VdxrYbdpxvdeKrTXnIixuLKafMRN+s2G2TuvjXpEw8t9SOJ1ZW4r9nt/TREATRrCriLN/6q6++wvLly/Hoo48iOTlZrX/NcrPPPvtsvPrqq6iqap0Kjq2dI32vQHHGWAw9+aaWPpSY4nj3ixjmegfu5J7qPFdHiSxJNwKFWlRGZgqrcRq/AvD4r/E+yaENR6ulM7YpPVDBJ8PuFpGnBOdH2w01vdrhkid0xqfSdOxKnYwZFV/69+loWvmvSFBQFlymz4p4PGN8Cw+X3xeV/R0eeD12zZiLU4XX1XmnYsTxfZpeyYDThdIUwQinOavJ2yOISFHlDk9kb6aoaTPIFYfp5DcSk173Ok7RhLS4gIFCVpIwphG1Y14tD4Dd0goLQ4dJZd4uDNjwEMYdeRfT+2ehe3p0KlZEFUXB6B9OwGeVV6K4KL+lj4YgiCbQpLgmVorrzDPPVP/27NmDV155BT///DO2bdumqot3786yT4nmxHzi4+oIe80CU34ObPoNvNGCboMmoj0gyYrP25xrB3oD2FdYii61JAN7y1sLfGgD+3nDKzBxEnY6mbq05hFI4Wt2sn6VRsMkaGNYbkkG7/Zgt9wFOYK/ZrbTwBTAGwcTVmMkmAR0TjEDXkdFBHKPmwqvd+q8eM8kr0QnO/yJhXuw7O8SdOHcgBmwcB5c0+UoPOjatA17Ix14E5Qo1fAmiDovQVnB8v2lGJKThPR4ExLgQFeuCNlOZkDUn16SzGkPBnfJATrRjUTZvUD9TOCcsMkSuAABRbFaeahYY7stEXnSJOyTczA0ShFEsYBgz8OFhiXwiAbYj5wFKbkr5OQmlOloCQKiTC6Vvmbxoi16OARBtICB/ffff2P16tVYu3at+ldUVISkpCRVRXzixIkUKt5CcM5y8M5SKMZ4yAkda6y3WsvQ+4+bUKCkQ+r/JwTdAGzLBCpBV4ra/2u3+8PmRElWjWkW/s1ILV6L702PIs/RF8D7NbYnCAamFoNUsz+3jfMEh4h/Jp6Ab6TjcJJzM24S/kRW+Vj0q1iOY4XNQd9z6eWsGkOydTcm8PvQEWbEGfzG356MGS2ee8ZLwQb2qUl71AGAaInvedt4Rr904KC2LPH3e1B2ybImbTe/zAoWc1Du4WBTJGiBogTRfLCwV6Zd0CXVgm9mj8U2i1ax44CDKUSEH0O6MvM8aFr+REMpq/JXKXA5glOMWA52LLOJ64e3PZfADA+GVitl1ZaQ9XYwQkTqtxfg8OB/wDKldVW0cbn919J58i+ssihBEO3JwGZh4MxLzULDhw4diosvvlg1qtm0INQUAyKaJ1xwa54VRxc9j+uc72Fj8nR0vuyDGt+zl+SiN2dThbCcAR7awkM7UbH0v0iZ8k9kd21bSvCioxLzTI/ArRjAcZromKyHiLOw7VPfWo3BHZPwyrma+JbBXY6h/AEIcugQM57nwWS6jYL6oVJawYKgNcqURPxLvBaDOiahf9UXOM74OZZXeCBIwaqmB+VsKA4WSh3abOPclWrtbDkxdFjfxOK5+KdpIZZV3ow4o3+gxMM3TpU8kghycKezi2On+sl7a4xHmNtLH8GL5h1IPeL3AChi0z1Ldoc2EGOXBBRO/g+UJXeoquIEEQ7b8isxZ8FO3HxcT0zt2zjJoi1bN+AE/m8cqsiGIo/2LWeGRDjYjJlI9BQjz9jKvHmxREB5Rpe9AryeOsJIia8rXqzlYYO4H5v+g0H8QRQon7CaC2iLyNVKNR4orkRr68nEfLoBQRBh0yj3ZXp6uurtY8Z0YmIiUlNTVWObjOuWo/jgVnT47hzVuGb0rFgZ8nsum1aeysYl+Ty2Kj/djonWBejw3bloa4juKozjd+I4YStez3wQw51vYVfmieq6FfvLYHNJWH2wvEaYlozQg0WKt7MVYCweKrb6ppmn4KQBWXjujEEY3FnrVA/raKkRRt6dL0RC6aZajzvj3WHI+PAYVck6FAZRzwE3JaAyIO86wGHfYnhzl2ssj5IHO0muQDZXDpPkFyErszVdB0IWtf9DggHdhxwHz+yVeNxzcZO3SzSNSqeIc95bi+eX/B3Tp3LJjx/iNtt/sfKHtxq9jeOdi/C+6Rk8YPgUXMAzJz4gaqUueGi/8URnbKt9EOCxNipOCHqI+NKed8Oc3sQ0lCjjcTkh6NeARYiBl0OUUMRqxmmU0pGiSaxHQxAEEWUD+5133sGKFSswZ84c1bB+9913ccopp+C4447DXXfdhS+//BIuFz0omhOxMg9j+N2+eRNCGzgeW7G2npOYa9e3PEc8pH5mIlicqi0g6WFxzIPtMiShAokQoXmyE237sd18FVaab/F9f1hHTX20b4fQnmWPrHVs7U5/p2tR6vm40X2bOh3PuXDbsZ2RmWiGyayVdzEqHvROqvnC75LA1Wuk2g6sDrm+U5y2PjM9A5UBx5JT7lfSbileTH0A/ZwfoqqaiFt6XHQiXASl5vVurOUeaAg2UwbeF0/CEtNkbT+Q4NKvHRvf+Px5oml8vy0fh8oc+Gz90Zg+lUP5fThH+AOjjfsbvY2Z/Cr1c6qwMShHM9kcnoEd79EKxBsPLUF5QKgzET7enOvlyachoUNflPJp+FvOgWiOfVXucbnvoz9/RJ3+vwXbsXh326x9wEphVluA1oaoD+gyvIMiBEG0ThqdgMu82DNnzsRjjz2GxYsXY+HChTjhhBPw008/4YEHHkB+PoVRNivW8DqaUpUmsJWplKBgq6Yuyzhq7OnfVFloj2lrJStOL7VkMvuUwb3lojq4D6kGcQ7nFx7zioRxtaQ7OEXttxVV/hd6gdARq2R/5nMcE9tiCCbtU3KD8/i9q15STfV7dGvzpGcZtX10zs6C1eF/MWfYdqGl8cgK3DAi38Ik5fykWqKT82/Q28yl+GuTGyMg9lZm6YF/i1fgy/gL9dB3Nx4xfqhNV8szJ5qP45Py8LjhXdxs0sSnYpVsPXq4R1bjDTGzrlytEhgG20AP3YXCb7jhi9ojZoja4fR0E0l/nsfPfBrvDp2LTclTURrwHohJAq4Zu9OF+77fgbZI9ZQgrhV6sKUAL7zAKZDElhcsJQiicTSpt3v48GHMmzcPt912G8477zx1mimHX3PNNarCONF8uEt0Zad6QnFl3cBmlJX6R7KZZ5fBRuX3lcV4h6Gx4cqCCcfZf8YThnfQqVTzCiUJITw6sjZyrHChJQpkPURcCRghF2UFZUjGu+Ip+CPjAiSmaKHhR2zaSz6vtAKcOzgHW6WOetz7Za2mvJ3XSsTk79+CqtfGYefvmvCa12BXTIn43TLd97vRnbXvtyR3ndAHb18wHGt7aV59hrvbFIg5Y3Bw6x84/M45KDi4I+IebK93ua4ojoYg6pLyRl2vgOf9gx2nuh9v8vaJxtH5709xiWEx7uZZTmnsYvFoEUHHFf/PVy6poRgCBnKsVc5Ge+h68fm4u4Ku2aZ4sO2iAIdHQv/sRJyz4x+4dPUpKNv9J2IZPkDx/C3T83g+6VO0RQZk6IPZrdiD7ebiMF/yV3cRwtRZIAiijRjY//3vfzFjxgxMnz5drYNdXl6OG2+8UfViL1iwAHfffbeam000H0wQKxx4pxYuWN3Y7titPwoSBkKe/CBG9GLqtG0Hr+KrIpgw0LUJFxt+Q2bVXm1liFHuA0VaPvVha2gD7SnMxh3uG+G0ZPuWDbatwNXCT0gYczkGXPicb3mhHoVfYbejtDzAS65Tbqvp1fbCPMCM3FJNS3TZku/RXTkK55Zv1HnZqbW5x5CAlZbjME+cUuv/1NwM2vMyjtvxILas/80n6PbXxDexfeiDGLP0IoxyrYbxp5sjtr9kozaglMz5865NnAjFW3OtkSjuKmShHMmcXv82wMC+Svi5Sdtu88gizHu+B2/Li/imTR6/5kEsIyn+MG5nUePCxPmAVB45wEtXWeVfXhds0M9Lby63UcfQ3ikTtAHTUyo/x+6NWmWCVFSqug/wNF3robkMbMZZnh+jur+d8+5WB4LtFZreS3PBDb0QJVesxYa0WdqCVliSzGFKx72e63zzXEBKCEEQ7cDAXrVqFYYPH47nn38eK1euxIcffogrr7wS3bqRSmlLIVQrE1Vbdl4S/J0BzukvAmGe/m/wVy5E6vAz0NbIL9fOjdXDY1gXVnQJGKl7eTunaDnSgRQ7FRQpych3hVbj/pU/Ft/Ix0E0al5/xiTbT5hj/BidbFuCvssJ2vYF2YPl8hDYFAsUToCL07Z9oMA/4BGIoig+byynh43Fm7R5bz1md5VmZBQ4Tbj8mK6Q9OWx8FI2HVoCy+5v0IXToiScMOGCD9bjzvlbfd9JlmoOODSWFFNNQ3qO5wqfB7qxdM3/FWstN+H2yqfUeaPBH9VgqKVOOqHhWfsOkn+9Ecmf+aMrIkVhsT+NpamDKNGE16sVMA7u+atx2wjIxWTZKcWKlvv/vqwbEvWwgRvkm07mQkTREPXS7cQ7sFpPAbI4cuH84kr0lvfXGPSIRYZ1qPmOixYsx7930S/qQPDhLf4UtGbBGKdW3NicfjKe8FyEbYl+T3Brgb1SMpMTcUvi8yi9cCEUQ2wr1BMEEeEyXZ9//jlkWcbPP/+Mxx9/HCUlJarY2bBhw3DmmWciJYWqxTY3RjG447RQGYNxIb7XbepNKP5qJTI9uUGKtAyuqhiCPQ+yKQlySg+0FawOJ+yKGWUeIyx6eDend8rLHa4aRbK2Z87C1VsGYHr3LDwZYnusZjZDDhgg5735voI/RJlRkjUO57nmoENKR/xkS4WkXIcfrxsH29fXY5xtEZSADnggsiRhGK914Fy8VgCse0YCmAZddqJRzSF/UrxIHTA5OzkbY9PScDQnDSgC9hVVtnghFpvdDiZvdoPhB3X+Y2mG75x9JM7A5YaF+NU4DTMjtD8pvT9kSzqMxdt8yz6STsJsmQsIGm84wzvGAbuAgZ3SUVnNg30hv4idbqIW8gvz0Ik9mzyRr+Yqu/0DhR6PCyZzbHZEe6cK8I5pyoVNT4lwmjMxxvWG7zl0aZgK+14Zh/QEcxuUsYw+HZMtyDObwbJOFEmEu3hvreWhYo1QApDR4q+jFRioJKMTVwqDqXnvyQ1HyrHxiBV82mjkzJiAnumhy2zGMr1Sjfj2sv64/VsOV/7qwnNnyEiNp9K3BNFuPNiiKOKGG27AHXfcgV9//VXNxf7zzz/xxBNP4IwzzkBuLoWhNTdZiX5va3HSIAw49Z6Q35My+mNn0rHaTICB/evOQiz++lWkfX4K8n96LOz9Ht65Cn+vjW7IWVMpSh6Bwa73cX3iywBvCBYyCxFFJumhZUItd8dYeTOm8evBufyGQ5ckbbtdM4KVpeW4TKxVBmCX3BmSvi+LkcfWpOPwX8+5OBg/NOQ+5IAyV0XxmlBYjlUTKBrhWKXmAX4qTccb0umIS9QElOwebQdl9pYX37Lp9aO9IbJduUJsM1+FD5y3QtIfO2YBMO37BfGrn4Hx6Iom7W//tPdw6IwfMFt4Qp0/omRi1qBsBFaiaxTe8EpBv7+avMHWQeC13VgK4vurn3tNfvG/SCEHvLq8VQJikSSDP5rEbD/cqG28KJ7lm5YCRvXYdOB8bRzL+wedeEPzeTPbGrJXk0MWYQg0WmPcg+1NkWoOnKIESR/NUZp54KF88w/IWv0IMnMX49TBHTE4p/VVeTAW/IXMd4fikaJbsDnXqp5PgiDakQf7k08+wcaNG/Hqq6+qedhedu7ciQcffFBVFn/ttdcidpAHDhzA22+/jf3796NLly64/vrr0bu3X51406ZN+OCDD1BQUIAhQ4ao+eBpacHlgdo68knPAp+MUKc9F36PFFPo8GaG4jUSAnJ1R/12HgYqWk3ZKt04CodRi7W62Ts6L0Vmp2DF6FjBrReGNgo89pU6MZh1+gutqnetoEpG9cQGb6e1thDgB+XXkGMqxvpKFiPQWV2WrKuBpyclILA7Y9KtdLtbClq2K+V4fC71xdVx3Wr1YHsRFa3Dkmn3l2Gzu7T1AgeYDbromj54wEVAPbupeDugDpiRCCey4ngkeFywKC6cNiQH2Amc2C8DeX/9gAH532BNoRM9Ozc+pO+Mt9fAKcoYyXlYIXJ04Yrx+LAyeNh8LSrsDeqcVotMaMuYd89H8sJbYB93N6rG+EXqGkqlqF2XcvX6tBHAV4uepU7wYpSqqzeNYpsLL8bdh+MzemBGyYcQaolWqY+PxBORCSsqEYcRMksQkdGNK4QJIjweDwRzNXGnaszSy3zFij5Da8Q+/2aMcK/TZiQPhIDBaSUGUnLqYr3YE5XSGJwk6McfRTqKRzGC1/oRBq55r7XOtk2YZPgZG+0iDPnDIcelt75IPH1QoheXh1uFr6E4+gDJrKdCEES78GAzMbN77703yLhmDBgwQDW6ly1bBqfTGTHjmimUcxynqpVbLBZceOGFqjHN2LJlC6644gr069dPNax3796tzrOOR3uC4/1Nydly1XDvUHz9/ReQC3dio9wbR+P6+ZZnKf7v8wHe0zoJEBFxVFMxjyVYySivEnSZ01tiS+vsFiIDeUo6Vkj+PMX+RQswz/QITqyYF3J7KfGaFyhH91oH5T17PeQ6CWIxrhR+xvmur7HXfCl2mK+EkVNUY189NjF0J4R5d33TijbgYXX6O3JOewUm8NswwnREvTcYy7IuxRTXc1iWoZWUakmMuvppoi4Odor0u/rJjIPMnR+o03GeEuRVaKkN+8uaZoR59EGUi0bl+Jalzj8PfFXTgrj3FmgBtfvLY7sTHUmSfr9b/UxY/UyTtlNcpEUydZYiX6uaDzBwvBoFscYLS/fhk01l+DVfG+wU5MYdZwlS8IA4G/8RL4ap/G8sMt2NpeZ/YqH5HojO+sXe+IAwHasztr2tsYq15GiQQR2o7qyE+75sId4UT8PtnpuaZV8T+O2+6f6ZzRsizuuDoSMqFiHtq9Ph+fN5tDb2FfoTOP5p/BKoal6hOIIgWtiDbbVaMXBg6LC/Dh06ICkpCWVlZcjJ8Xd2G8sLL7yAwYMHq15xxtixY7FmzRp8+eWXuPnmm1WD/uSTT1aNa8bo0aMxZcoUNT/8tNNOQ3vh73IZj7rvwsn8Gpz3v+OwP344Eq+qGbo9qng+jhE244ec2zD2xKt8yy2K26eMxjciZ0swx244VnrhKnxgfB1FzkFAnJ6DrXfQ81NGYoLrFXV6rf79JFc+xvE7sVIM7ZE3GzTrN87A+7pZzOvPcrltHg6B/qRkVz7+z/gR3IpBG9FXRAgGA1JQgf7cIcQ72bZ61dhHoFBZr3zWjkORaDYwl7BGyR78z/Q48sDUbS9WFzlN6Tig5MAutHxbGKuVyIqTNbX0OPiNDOfgy9Br29XqMF+/isaXupEkCUtNt8KjCMguHxC0rqneJatdGwAodUE904xl0lBMFrb4B5naWNg4O5+NejFU41jHUvUzgXMFSCtGhvmmU3G63Qmu3yxkWRpfYzqaDBYOwcbvBQ8FG+Q+OMJ3RmPqM0zit4CZdBvkvojnnOjN+1XZPe56jPYAj7Wo8Mj3JPiuYyJ8mEil/5Sy+0N7rsjg0DlbK6cYq3hkGU8b32qenQU8b33lMZsJ7/4ciglxnBsHSioRmzF1teNwBd/PsS6gRxBEhD3YTC18+fLlIdft2LEDdrs9InWwWUfv999/x/nnn+9bxrx1LFz89NNPV9evXr0aEyf6Q0vj4+NVI5vlhLcnXD/dg0uFhTjPoJUQ6WDfGfJ7XsMyOd6CJIvBp8JrCTB8AjsTdcJxyNe7a2IMC71YHHmYImxCH3EPlmZdgQnOl/F7xiXqOiVUcKneSZA5oe7w1IDOa3GlZkIcsgYbdJ3TU3wloxiinsc3vvRb/GK+D8cXfhT6oAM8dJ2TtPBk2eJPe/DonisH5xdy8eaMh5OXGW0MtYSps9I23s7+z2Wd0J3X1KBH8n7RoIYielxqSHhPvgCWomCl5vyK8NMd6izxxvuHTf6UhwR8o+XPdaRZKQ3wtVGsstgwGTPdT+KUrZOw1xqbAxynH3kGn5qexFPGt3Gr5xa8bbm6wdtgz+ZPTE9irukx9OGOIrNaCrWBDYzWvQHf5GjXG7jc8HSDj4EIPs+ZcTwMurL7llN+RPKw2K68IYqSOkDj5Vrp3qjtK6iChSy1SDkylz7EzbXCdIjqoqeSGLv9KoIg6qZRPShm8L700kt4/fXXVYEzl8ulhmx///33qid51qxZMJnqzgsLB7ZtFmrO8q6fe+45XHrppbjnnnvUZV27dkVxcTGqqqrQubOWB+uFec4PHozdkOVoMFjchhMETQSLYarmQayudi2wT/1hzlR4A/OlwlUdZUrWbt3XJcew0JCiG0kyb4LblII8ZMDBJ6jLLK4SrDPfgLXmG3zfH9lJK+E1rLNW0qs6VXofwhtmznjOeBMud9+LqnSW4e2nurqxd75TljYA1Ss5tIFWYfcbhh3iNQMiN32C+rnEMg0ZBu1/Msf7vdW9bRtwt2EuBlT8gZZmgucNjHC+Wev6CiRgY25kahmLAddeXuoxQeuYt6kpHDb3w+fi8chN8KcQbFF6tVgnsjn4SdLO4W/yyCZtp1zQBoTKFe1eiySBg0hM8C8WSfH4S4mNz1Zw0oDshm8kwGBZYP4XZFdwOcZUY91GhCgFhDKzBI22Nx7ULKjvSwDLhzyJ7Mk3oFBJU1OLBGPsi8Y9WXobzhI0h8iTnouw0DMsavvacsQf0vynq3eLeLCdegnM1qg3oFQzqMmDTRCtl0ZFAh5//PFq3WtmZLMQ7kDGjRuHBx54ICIHx0LRGWx7zGi/5ZZbsGjRIpxzzjn4+uuvfbmnLC87EDbvaIBQV3UMumhUSyLo7kjvZ33E6Xm6XjgoIf8Pb+7isfuew94fDyPj7BfgdnhqdCbCOQdFRQXoh3xtRnbHxHkLxYicOGAv0L9TGoxMFUz1Qmvt3NW+CZmcdp2V6cdv1AcbjCYTxBD/U2mVCGbWFtmcSNHXb+H64LDcBVclZASdB95crQPGG9X1OVma5z/d6IY94Pve9hZ5v6gWC9lnvymxawZ9kc2DY+K1Dl92ZiZs+u+7ObZisuE7rKhibT8bLQUbeLHKrJNTu9BeBleJ7g6/ujGj0ddPQMTFthIpKAy3tvsgXDYlT8E8sS+uyeyOGfp2PjL+x79ryDA18bpv6L0ebSqVOBQqLNYgvknnLisjEzgCfCJNxyURfjZ8fZoZn375NfZUJUKpzILQOTlIh6KlsVeWIVH2l0688tj+6Ny3a8PbvZqRwInBwfYGeMDVcW6lAI0Hpt5vUJp2P7RXvAPTSlwaDGYzdp76A7blVaKXMwFSpRPd0uJj9n4PVDwXwK4HLirXABvoYoP1jP+JJ8Au5DTrteaNvHMzA1th3iM5pq71cNq9ukApy/Vv6f9BliXwAeUpidb7bieal0an2t15552qoctCsZknOSEhASNGjMAxxwR7kCLBcccdp5YFY4wfPx579uxRVcpvv/12dRkLFQ+EzZtZzcpGwPMc0tIi73FpLMnJ4QmFWFHTgxzq/zgc4KkuqXKjT1oCBF2IivGmOAuehJ64JYxzUFUa0NlLTI+p8xaERTOqExOTMNC9EQ8afkSCfQLS0kYg0+QfmEhLjdfyac3aw9ASZ4ElxP9UzkLEFSDOIvj+Z5aL591G4HmokjRvuBfeaNHWp2kebJPshCnEPszpHfG6eBpuNHwPUXSpv8nVw52ZJyrBoHUmjAkpvv1N6NcByAXG9UiB0IJtIcsKPrt2HDySgsU/nYdpZV9gU8o0DE9xAIf85bhGVy4M+l1jrx9PlfbyZznYHr0smJeEBEOTrkte79wkJ5p92/EGi17lvhuvp6fCYjI0670ebVgI/EzXk6pq9a4mnDtjqlE1sGXOGPlnw0c34mbxAAvVARa+hg0rJmPU3d8jqrhsgDn4fq6NtBeDlX+HLJgJZA8CblrZsHZ3BIeAHyktR1bgbxN4oI5zW2XzG1efmx5Bmcye00vC+h8IP5V6zjVvjkNcogVnHNMdia/egl7rfsXB/ldh+CX3x+z97giIZrvHOA+XJK5HWtr6iO5j69EKnPryn7jdUIzJBqgh6SZLFO77OhiQbQYOAOa4BLX2vMApMdknqavdnSnd8LU0CWcLWorjqB4pdd7f0WbNNy9h4MYncPiUDzBo/MktdhytnVh5txPNS4N6hkyZe8mSJaqyNwvRZmJiLGw7WqSnayG6I0cGhyoOHz5cPY7MzEzVi80E1QJh897fNsY4sFojLcnTcNiIF7sprVYHJF0huS7i2Ch1gG3BJsvK/B6UUCGtsiiq3xEdLpQn9VO9JWdf8SoMBlPo31ajrKRCLVJVoiShQ49RYf2mJbDY7GCPN5fEIatsE84x/ISVZYJ6vE6nv/NRVmZjcuzIP1wKJuG3M9+ODiH+p89M58JRWYppfCff/zzdvRhOwQVPaW+UJfq9z1ariO4Bvy2wSzCV2eGxc2ABo9aKUkgB+/C3uxNuaNvZcrAQA8vsKIR2Tffmc1FapM3ZZQvc+u/NHln9hehyw9qSbeGpwuh1/1JrR39VVKw+Zf4sT8PRDtMwE34DW5ZEPOM5H3cbP8cOuSs6NvKYnVYtbFbmjeihHAlaV2mtatJ16baxYHYHZLfTt500TruHJvFbUVJmR3wTDeyG3uvRhuUMnyisx/2e2SgrO7HR2xEcWrsMwx6UllRG1MOcLHqCiq+Nsi+L2vPH43bCsmMekpfcj8rp/4U4uG6VfkkUQwqJiRW5qAx5r9fe7s7yEgRKhfKu4P9x/e4j6BUfLOwXiN0h4Qb3vejLHcVDxk9QjpKYfU7HMkfQEd1wGKnL5uDH3COYetpViPeUqboPh+0NO6fNfb8H1exmmh6uvSgrZe+6yGkX7F86F9+bXsNQ/oA6P5nfjD+K9qKsLHA4KLpw059BhbsSB5f9Dx0O7FFLXcbStR5Ou+81DsF/PDdhdFwBurv3oLKiEmIL/g9jNz2kdiY7/HwdyvrvaLHjaK3E2rudaDqsPcONSAi7Z1hZWamWv9q2zR/W2b17d7zxxhvo1aumCnIkYLnVzFA+ejS4zEthYaEqosYEzdi+Wf1tFrbuZfv27TjllFMavV+xltJJLQG7Kes7HiaEk6bW+w0uzRLqd3G8PwlPUfRtG5Pgufy3Bv//Hpc2ECFyJsQZhJg6b4HsLywDy6A9VCFhRJc01cs7IicBNlFG30x/aJ/HLYITDKoR3E0xI78KyAjxPy01TsZuyY6xpmzf/3yb/CHSjZXY5DgDoujXBOA4vxbBWrkfSg2dMUqUcaBSUA3siooyWELswy1KcCmagV1eWanux2hOUFXEWajn1gO5mAzgr0IJ/fXfG/V62YoktmhbcE47zDs+V6dNHDtKwCYaMHP3v2pct6bsfkAZ8/ynN/qYEwVvSL8ZWa5S3/KnPRfgOGPjt8u4oOA5PGf5HUvz74Ao3lljvdsjw8TLzXavNwdm3ePFrr+mHI9s19qCCQwWuN3gDU3X5fBiq3Kpqv2BROPciaIH5jeHI1kX50ta9E8U9feLbobC5QgeoF056BFM2D4HotMe8hjravcyqz3IwBYlBUeVDHTmSvCWOAt9+cw6/2+3xGOZPByHuWw8hE/AKzJcMXCNtTbcZ3yIr767B+eIP6DUugXyu1MxwaYLiUqeRl17zXW/p7MspWoZc6LLARgilz/eiS9Tjet9ckd05YpU8coDRb9DFMeh2TBnqn+HU8dhuacApvT+6B6D13pd7c7e4OnxRnze8W5cc0wHSGl9oMTA/2DmFThi4DhaK7Hybieal7BdCu+//z5yc3Px+OOPY/78+XjllVdgNBrV+WjBvNMXX3yxuu8jRzTP1NatW7FgwQKcffbZ6vy5556LTz/91Lee5WYzgTPv+vaAm70sq/GjFPrFlnXyg8iP7x9aZVNyQSj7G0JZeIrOolsLLfdwfo9tLFKkRyQUVCngBYOvHjPD5fbnPHlTDb7Puh6DXe9jRU5o1V+B10b+AwWDDHpuOy8EnwujOR5XuO/FRe4HcKH7ITwXp6U1GOOSQubO+7ZXvk8N52MsquqLYpsL3dK1wYCseAO2xo3FfzwXYn/asb7fHCzX8t8OM+9EC+JwOnwq7CndhqvT/YaMrfE9dv2N691RnU4SmiBUxXEQ0/tDSmWiOv5GeU06Ay5T04oSDeughXYN71ZzO7MNP0FxN693QZRk7CuJ7j7H8Zqn4gnju03azpce/7XJR7hkT3NVLSgvPIR03bhW5w31X0+S/lz0ktN3tPpp4TzYnlfRoP1Lek6rl6f3ZONY18vo4fwMT4iXwBrXpV49BHU7+qs+wUS5gI1hcE4yslO05y8nOpDhNa5boBxVQwl171W/RpuKWdbesbuVrvhGmqQtbGKJxIby685C/G/DUaDjCJin3Isu4+uONKkPe0UJdvz0EqylBWguzhycgV+uHQFbcl/c8KcR6wpjQ5WQOWwIgmgYYb9tWTmshx9+WDVoWQ3sGTNmqCJnbLnbHb1afUyVfNq0aTj11FNVr/Rll12G2bNn+2pcX3755ZgwYYK6burUqXjqqadUxfFI1OBuLXCSS/Uie6kSktHz7NADH57OE7A7fXqwkSnK6svp1+UrkP7Z8TDMOyus/cqi9pLuouSjfNWHiFV+zroGPZyfYmGnm1lSbdDLPzBKzluyS9QtZ68hXZ2+0t+YyG+FwelXTI3TvaipicFiN6zmNfMgrZQHQ2J5aXpOryE5R/VAfSjXEmmhK7wXK8n4Wp6MIrsb3Sq1ElQ9nduw1TAIb0inoyhjvO8nJQ7NSC2vallFd6tNMwCdsgEjzrwXBy7fgvFTz1Pz+wNh19/ghEo4e58KcUJN73C4uJJ74ug5v6LorPl4nr9SXbZN7o4pfTK02uFNgNNLvwi1eF8VsZ46xBGk4OB2rHr9ciTNjW4uHDMEAz8bywrzcTXOY6QQ9DJJXr6SjoOiG5ORpLqWx05L/crqiQa/YbFv+L0QkvzvogWbDzVo/w5jCh7xXOabt9qDveNM56AuFI8DFwi/41xBq0nOPNiRhqsqhnnnF4CnaSXxYh69bCMvVXu+NrMh2Zj+QXWs9sgO0qUfXax+niys9ZUECyrZ1QzYV7wO/o8nkGA7gPNGdMLEno1LE/RS+sV1mLzvadi/bD7B0Pi/XkfWm30xae9TWH2wHMW2lq2DfSheK0l5KC64OgpBEPUTdu+ztLQU/fr1C1rWu3dvNUybrevYUfNERRqDwYA5c+bgtttuQ35+vho2npiYGLSeGdV33303ysvL1dzwxgqctVZMiekou2kf0l7pppbbOnTmAmR17FHr9711nL0e7KqKAkxYeBq6cwVa8rZe1qoh3pXckjKkIjbxqLkvHIwGAw6WucBeFYdKbGBFhA5XuHz5kt7+uVSPgX2T4w0MMO3C8rIOzNxWlxl0EZx4i0UftvBHYTCj2huWadRzN0zJ2aoHinGpooCvlg/nbRuv56nKLaGvzV+Gjc0zEkxCjQ5gS9f/9JYW8eg1vxOStHJNw7tlq+H5XgZlx0PZ+S0sBaswzz4cM3vOaNT+tuVZcc3cTeiaasFY/ZHGwhSfnyBBSpSbVKma0z2lSrXIBC9KM3Yiu/94DoZwmjc1XxTVwZtYxiVzai1t9kwS3Q4IAXXcm4rAIkYCbplyJVG9bw16lYBIcGDLMsTJwdEgJRUVqK/4kCKYsSnrTPW5Ezf8OsTH+e/RnISGXY1OIQnvSaegC1eEBDjxk/l+7Jc74EbPHaraO+dmx6cJJobEVanm1PuJ/LMhdf75MJTthr3iIKrG3YW2CPfBNBxn36VOl5RXaLG83nUxbmDvjBuNntY1QQNmLns5kBVc3rQp2APSIqYLG4KqcTQXM1y/oqfhINbYJ0MoSYBijIec3K3R28t2/q0+Y4wu/0B61NH7XiPd63GNkIFEK3v/N6K8X4R4HNeCd+9Dkrk/7m6xoyCINu7BZuGzzJitTkpKSlQ92IH76d+/f5BxHQgTPOvTp0+7M64D8Y4cC65ycK7QoYgfzf0AxQf+wmp5APab+vtyyHrx+arqJsNQrVREbSQbArxIIUbJYwWvl4cZt8UO7aVv1b28BW4LKpR4/CCNU0WyGFNL5+J941PoV655farTIVnLXeuWqns1FcXXyVICymt5OUv4E3NNj+KA5WLcW/mEuize6O+hHS13orTKDdHj7wB1TdGu4w5cOf4034rE3D9gc/nPd4Z9DwZz+5HC+70pB7KmY6brCXyafB1aEtGjG9i6SJuXoV2DBW9MvAKbrpL811Fbk9vXIPA4oY/mtUjmqpD2xUwYireiKeSVaSXcDlfWnjPXXPABXmAH6yDHOFmuw6pxzSixRjZtwRDgwWbRCq+IZ8DpiZyhY6sowjHLLsaQP4PvpRTU7/lTLGmIP+15nJt7IWa9tRpKQImbW7ae3ahr+xHxcswRtegMJqz1ctzbWG65DdmFy+r8fYqFr5FiEGmYca2y36/j0dZIsO33TY/l/eHhoUorxRrnVtyKezzXBy1zWosiug9jgJBaNqc9m4blNK/6tVfMLbVgBdLnTgf/S9MGe44kaulNX0mT1Qi/5mBXnnbuMuUiPGj8FOkVW9CS/FKahZ/kcfgqL420GwgiWgZ2XeF30QjNI8LH6ZGwq9CG+5Vb8LY4E31/OBXch6G9gWeXvoVzhD+RN/RWDDvtn+oyWQ7udJkCynrURcehJ2K/mcmHhe/1bgkmlX6BV40voF/lCp+SMafnTO/KPBHDXe/gFs9tvu93ce/FCcImpLhD514lWjTjN1kv5yUH5IOKuhc5kLu5jzFez2u16EWezAYePbgC9OaO4vz3VuKk11eh4u1p/nz6gE5bF64YKahEcpx/gOs664v40fwAutk2+pZ5zOnYrvRAkdByI94MWQ+b9lQLkGGePS+u7lPhGH4NHBXaOb6C+7HR+0sqXotFprvwsOsZzJCqGRxN9ObbHdoARlnA+NEm2S/qmGyOnMe0PiXrBM5/EA5bcOWEWOTGyhdqzSVuKi/L52C+NBG/mmZgMH8Qf1lugGQvjtj2K0v8wprHu1/0TU8Sgmu3h2JvsR2ud6epA2o3Gr6DgedgEzRJNntm/SHmgSjOcozmdqE/d8hn3CucgCpDSljPXSEgfsOqxOn16SOHy+EfOPGk6QO2bZDAAR2vAckot3RFhw6xnY7GUp7uMc71zR+Us2F3ulSRyUjB6rFXp7lz073HkO/QnslHmqi+3dGkPbMG8ofw8o/L0RzYdf0SH82kNVEbE/ntmMpvQKpcjvdXNyy9hSDaO6R40gbIPbANjrkX41jDdlxrWKAuS3Hnh/wur3cUOqUlIivRHNIIYV4nVkKpPhRTInLjtBBpLoYN7B7O7ZglrEGGOw/7s07ENNcz+CDl5hrf84qWeY1vBHieAlG84dz6wJLb7Tce3HLNKI/EeH9eNm80+0LHfzLdi8Xmu9GRK8NtwlfoJOehJG9/jXJq6v+QKEMIqMFr0UVlDHHJvmXekHZviHtL4TWmpGrid44hl6MwQeuEv1E+FvOLc5DGaR7ikXx4wnqh4F1W9OFz0VEphiFvXdC6XfkNE5WqrdMmBAwOLJFH+L/QTIOLtvJgD4oa4hkllkrDIrIdg+KOmoH9hngabvfcgsW9H/Cp7XtFF5sKK7PVdYFfIOmQnIHfJc2bdVc1T2AoqhxVGMLtU6fvNWiGzcaB9zVKgDC+dBu+Mv8brxlfVMPEGYo5BRazFkWTaKzn+tOf7bJgxjDXuxjtehPfbw39bmgMZQUHfdN7bLEtdtlYmCFq1EvzBcIK+Hlmr0TK9AcRy7BUhbs8N0A0p+HV1HtxvPsFOFa9gco3j1dV8iOBWwgRWVjtHRZtvJF3imCJSKpUgqgNYp4j/IELhOapHc9XM6iVFhbQe9P0At4zPYtrDAtgjGD6DUG0BxqUxHfdddepyuGB5OXlhVz+9ttvtyuhsZaEqyrBDGEDDiv+8+0NzaxNHIhnxiN7AXF8DQ82w+Nxw6wrbtelUKsIWpg0J8duiLgvtNZggmhOwd9KZ3TktVBiXnLhD9Nt4DgFkmcpYErBoOw44AAwtHNaNSkljUqXrGY9lttdYKbz8oM2LHTfCTMn4yFTzdIngm5UM/rlZPg0iQVBUFMiPzA+hc4GK+JkB5I4zUhgOeKavIgG56lCWdoIZJaux9fG0zAdq5iLGKnJ/sz3NMd+3CzMh8XOlIWHoqUoSRmMMc7X0SPNjNcDli89WIU+lSKyeWBzkQfS3hKcFoEga6/HXOIMyMs+Hl0OfOFb11QvzTp+BHa7M5GUwPLtNebFX4LrXD8gjnMjYcVjqJzxkl88L0q4qvxK1gx3FA3sR8TLsFi4G2VK6HSccBH0Du+f0mBwxsjlX7PnjncM6bJjusK13aiWFgtVTaEx5O/fhBGcZghLCofR3G5fWLAx4F6ujcSi9TWWcQbtd0IDO8zdk7X3am8+D1+b/0+dli2p6JGeAvYg6ZNuQl3DClaHS31WeWROFRWMhwuv/LIOpw05FZGg3NwJT3kuxBnCcuxHV9Su/NF6EXVNieqUI1l9/scyclUptpmuBKsav/+iLdj+x0Hw+Xk4RVirvnu27d+A7L5NL6X1Vspt+E/JP4LSNraJY3ACmg+jPhiq6OXHvM6ExpJV6Y9WmRhG5EokqJFu0MIe7CRoz8EbDd8D679HlXIz7BPub9FjIog258FmyuEsD5qJmgX+DRo0KORy5qEjmgevgdFVyQtPHAjAmGWXwPHFFeq0oo80e/Q6ygzRU783aOmynzGp5IsgMahYZECGNggwsFM6BC7Yy9unbBm68kVqGDavCwAZ9M/qg0Zejlq1//VwqRaCtj7XjsXyaNh6nAxDqN8EeD8RkKPNQkfVY+BzfWW7Ug3atitlIzbLPf2/c9tQYtc6eqUOEYkG7fgzU/xGUIZjH+42fo6pjl/QkrgUA1hQu80YXNKoyiPCrIfIT+M3oJ9zi6qs3lRjWNG9MMxjvvJI8ECP4o1GaCRvGi7BLZ5b4Uwb4Fs298oxqnHNsOz9Dtgffe+GVK2TLzqiZ2C7YVAFtOxoWp3cDLN2jb4kng2bsQ4hrgZiyl2NNac78cdF6ciKF+DSKyhEqvRQ4LlmuhRfmh/xhefPGlZ3WSyGHBDRUt3A9uaJhktioM6Fzh6byaf1UN9zt8qlrXfLHIZwB7DNMhs/mIPr0TeFKonD69LpONn9FFYknYS2SKA2hpeV0iB8O2E+1h8ux96i5i3V1xBY5Ig6EAgnjEYD0uKM7Mns/4IxMkMEDjG4v/e+dDJWi8GiuNHGqAuNeg1sb5WUcEj4Yw4Slj9a6/px1fLuo0X1sPpIlzdsKpwjcmk4BNHWCdvtwkpyEbFJQ0oFBY7qFlU60S0w1BlGfCSeqI52Tw/j0uhY7s//LRayEasZeN7wPrPZgoyKvfin4XMYq7qrXt6kgDzrOAOvZSzqRpmiq2DXFiLuNd7cukL4kBzNSK5OuZvzK5XrHv8a27SkAvY81ZBWf5M8CBe5H8d9hs9wg+EH/LXvKPIrPWBFuRQmbep98QZ4Tvt3TAc2A73TTAGVe/25kiZzvC8HPZoM7JCI584cHCTkxuhQtQcD+cPq9MWG37Ghskr7X3RYJIXQiONT9PQEJlLndFXrVDXRg+3RB2KMAccVZxTU0klzjB+r86pKNqKLdxCBIYPzDcREfD+yDKuSgPGuV1QDe20TtpXEwpcdmviiR4xMKL0hfz3S5p/rmy+6dhc80O4p2RNcwqqxpNbhpJ60+R4UHXdxnb+X9PKFgQhGrZ66MSBsPixCdLCdQjLboL6+7itP1tfHw4mPTP9RpztxpYiUxJXD7b+/3FEQUIsFxBDpDakmGf1Lf0fX5a/jSPIo4IqXEYt4UzOYHgZ7hp1lWoMH4x/2iclHKp1on92EH6WxaioWw60YwDVzqlIcL6n/V0K8NujMhZm+wznLEb/5PXW6atRNUOK0wcBHldl4iHsXzckBU1+USyWYbNmHBE8JRnVKQFhPNVnEvHlv4+OCbvjHScfgpIHR0WHZe+gwolMviCDaHpSD3QaQG5DfGFg/1pujlBxvhtXSBa6kbph24+s49ebXkJwY2lgMQu/QfiOcjK4zbg/7GEry9qHozROxa9mnaBb0Tirz+qRW7cethvmY5PQq3ga8hPXzkV+ueSSOVoY2Yn6LPwWPeS5BcaLm1Tym/Ac8angPPe1anerqFAVEru4q9rdV4PvfbdDOt8Ou5SRL+soqRRuNF0Q7dhq0IYxJ/FZf1IG3jBfDaNLDUKuZe0f2b0Pau8Ox8zO/kFs0ybbtxMyjz2NSxbdBy5M8RTUGe/4t3OqblxoZBZFm0totIc6CQfg7oh5siC7VE1I9/6xYSfH/H80QrOMyJuFr6Th8y09HyU0H4UruhX0fXqneS5FEEj3YZLlO9XQmh6GYXSf6NTqAP6yKdUWC/C0LgxfwAjJStHunR0pkNN3TTE0zDJQQ0T+8Xkc9lBhUXRSHUF8vsXTD1gLtobLpUN0eJZclG9e7b8e94vVI08PeI4mleDPmGD7CecISuD1yUBh/W8EjSWpptEBYJIJFrsQg/iAyPQG1B2MMdj97DWxWwq5fCtPv8N/XYmCtuybwbPJcpMOGUj2tZAy/G1lOv/J6c1B+/s8oO/8nyAnZDQsRDxikKi866rt+N7j9Jb5CVQeJBosTTldL8P2dMU0/tvCeF4bi7bil9HGsNl6P8lXvRiy3vsZ+XLEvrkkQsQIZ2O3Mgx1Ym5LTjUtLZk+4Zq+CdMVvSDAZVIXrcEL8OVF7UWempaFbmuahCYeqBfdgkLgdk7bci+agxKodZ4FdxqAcLWe5b4ZmuA7tWDPPtLxK8zKVVIV+Qa+NOw7vSLNQFq+FcPevWofLDIvQoZYOhRTwcj7CdQzp8dmt2x+7j2oede/gfx7SsVfupHoVJXOqT9HWWxqv2BHQkfXmw1cTnFu5bpUa4ppY1jwlP4SyPYjb8gHM+4ND1XljtZBjRfGXimtC3dQeqdr57ZqZih4BhbZfFs+E1dIVTeF76Qbst1yKZOueoOV/B+gdVOgl36JJ794Dcdyt/8P4G95XdRNGLT4X42yLYFsQ2Xy4wEEOkV1pTfBCeTt5TxjfRX9n6MGnhuLSy1Z5kTkBvO4dFgLKmDUFOWsILvY8VOv6+lIZlBAebMSlqaURt6JPg47lcHGwSN99nmuwuPM/sNsyHJ+I03DYXPf2PIYE/CKPxWIcE7wiQik9KZW7cbXhZzxjfAs3Fc1Rly3YXoCpr6zAmoNtozOekJKFTbMW4r1kvzBmX/lvTNj7nDrNN3UQL4okGLRr1WI2g+c4yLp3llVC6OH8DPaEyGTN93TtwgRhOz6STlTfV5cbFmJ66f/QnEgZ/SFmDYU9qRfeFGdhkXFqWL8rt/l9xIX5mmhfhcMDB8whK2BEEzYIEmfksbPzeSg/fS6cA/1ii3XBOf332i1Vr2L3r69F5fgSpKaJhhJEe4IM7DaAEqIG9c9StQ6VDjfjKeSljq41R4m354O3Hgqr7JYgal4U2diwepfJtZS/ihaVeqmlEofiq+Uu6P97oPexQjes/y/lMfRwforDHU8OuT3WUWF4nTQ+EbVawr+/TLocs913YqzzVazKuiDkdzyClgunuLTBgPSCFVhmug1T+I2Y7n4WX6TORqcUzZBIjRPwqnQWXhTPBsx+T2qRXuO7wh4cVJaaqLWPKeqBzMEDGiw0PhChmoHNOqYXHeP3EjS6o2qIh5TURQ3t8w4aMZ4Tz0dFQkAeexPChXPSgyM6juc3q5/Ms7WnsvnUk9m1x1SBvaS7j0R0+2JA/jALKfa4Gh92/aZrum+6Y3xkPGWlSnA7cJwAT7cpcPY7C0pcZmT2IVmQ1HcyZCX0MXvqiRiycDWNVzGtDy5wz8F9aFgUSfXBMlZCMdliwKa0k/CgOBu7E8fW+XtvCc24atoQnBiZcPqhmXyNfNHtv76BOfLr+Prbz9AWYAPOx/ZKVwXlAjEp2nuFj+E62D5RU10DwG3SBmnT9SQiVsIrEnB6H2SRNAqfSNOb/byw/+OLjbmYvzkPKZ0HwT7xQSRMqF/xn+EM1J4p1zzYFQX7cbNhvm+5TYpMdEx9PHpKfyy7dRLcKb1x+4Y0fH0wdJ+iOjvzgyOEKssiVykgkGRFi7AjCKJ+yMBuA3QI0XnNPu/VkN919T0de3POCAoRt7lELPu7BKsPlCHuoynI+HgiyvOCQ21DIeidtOPz3oF7bmjDMRQNzkNsIrfGPYWBzvdQmj3Rn7Osh4UFGmTecGLNa8dBEELfHjlSLkZye2ByaeGZfdK0zmsflgMdgn1xw1QRtEKk+YTNGIu4Cb7pgwnD8ZU0CQXGzuo877GhG1/kq7kqSgp62Tao01muQ3hFPAPPi+eCDyjTZdUNWpcr2ABISYj35Q02B4eLtWM+ZK1mMOviM17YuT/LsALOPqej4pR3oDRScMc+4AKUXLYStsmP4X2c6RMhGt89DWnx4XVQ6iubIhiCDZQrDZp3/ibP7cjXB6yiCrtePQ5s27Iae1+d5VtsNWZFdDeBKSQszFPNa2wk7ypn4jdJL2kWoTJ+ktPfwWOijExT4H3LZbhP+Qf+8vgHa5rCn/tKcWDXevBcaOPDm55RG4My/dfcwl4PqJ8Z8UZcfkwXXDxau7/DJTdhIJ7xnO8ToGRCTskWIwy6JoCnmke/OryzHKfzKzCF054dgVUJIkHgduJ47Zk6jt+BCwxLMFDw1xJvE1TLd/e2SSx7sH0DNPp7r1DSBqjS9fKIkcrBNjq1d+EP5gdVzYXmNrDdjkq4l/4HZb89iw6JJrW6wMxBwWH9teEypeMG9+34P8/l2GnQ0r7Egm04TVjl+06eHPrdHmlSvrsYma91Q8Lf32LJ3hLsDlNAj5UWDKTM1LDnTG0c7Rncr0tS7BGtn04QbRkysNsAaRNmo+jGAyiFZmxtmPYluuZ0qvX7HMcHGdjlR3dhwILTkfHjJXDK2jq7s/6wV4Pk71xVldWvYO7bfyoTGGs+XLIABywQjEbkVeqh1ZXa/3dQVwJnKPrt4O10eOtKV+fCinfwjflhdC/W1KPjdI9VYnxoT74pIH83cJvviqeoXrJCJRXrs87GnZ6bsD1+rE+9mCF7j0lR0N/mf+H7thcQyu+tsW2o5qnuVLJC/ewiHkJz4K3dKVcTibNYgg3onulmJKx9XlXifvWvKuhN02DeXXUQY//7B55evBdVuvJ1AufAa9PiMCqLi0ynmg821FP0/ORkVPnC+aNJ3l8/IOutvhj3x6WYLPhD/fl6RK4aSrweUuqjCdtn1ywTTmS4nJEpoWWS/PerV39g+f5SzN+SjwOlkTEaE8q24xezVrc6FJJU9zmRUntjX4dT8F3OPyEPvUhdxgZ6/jG5F64a17BBgLy4/nhVOhOPipeq8w8ZP8UA+xpYODdSUQnBU3detcl+BC+ZXsHdiibi5CW/pBSRgPP426OXngM/MEUzOEd0jKs1deDQtj+CoiViGVv+bvAfTMXkQ8FCZsVcWkjNi1ii1GPA/vgR2GMc4At3Vz85Fw5YLkZPV+TVsSfr0T3eKLHmQHJU4HbD17jD8KVarotF4fGV4Q3wsIign+Wx+EA6GYcE7f70lAfn1du4hkXpNRrZo/bLOrj24xJhEXpUrgvrZ0q153RCBIKqWPTL+0a/gX1IzlL7Jdt/jk1BP4Jo9Qa2JEkoLa35cl65ciXKy6NXOoaoB94Al54zpEgecO7KYBUtndc/eANbN6/Ccmkw9hj1/FfRgcH8QfTBYTXvkiHXUvszkDSjPxTSooTfgS6Z/irmpD+HJ7oFd/qihUcfcWXe43KnLh6me3mLbB64FQEfiTMgmrUO09VV7+I14wtIt+0Kub3OaZqh2D3dEuQlqE0hvJ+4C2vMN6kdmvHF/hrNu9ANvVyfqorN8UbtVqzyaJ3TwR3ifOVBfjHdg6vLnodDX8cYwB1CH+6IzxBniCk9cI7rYfwDwbntZmchmhPv+ZCrnY8uCcEdLjMPePSR95UHrXCKjfMEeb14bPBieCfNQzOM34/0z6bAdGARGgsbqfcOFlRPxzfrgyr/NH7RLIJOlVWa8Xg0IId/R+cLkD3h8sjuqFpurtPaeL3pznIeOnLau2J7bgkiwdJkLUIhMBTbyHGqZ9cr6NRUckprDmQFokh1X6fuHtPwx6DHcMeBMfhk7RFfjmTGe8OR8fYgn5hiOHhDeD+STsIOWev8ZyaaMaXoE2y0XI+L9t4Oe2Xtuc6dk7R7MMESnENqkyOT1uDVjFDR7/uBtpXq56TCT0L+Zu/XD2H0kouw68v78M3mPFidkRNkEkr3IO1/02De9WXEtllUWooM++4ay6sQF/Me7DxjD5xQeg8uq7xRnY9PCq5Hn2GMwCBHteffiYJWB35QdtPK/DVG6JWJuSl5G9QovLivw4uqCwyT96bf9I3XBq4WSGNxtuv/8ILpOjQHeWVa6H5W6Vo8bnwPo62/hvfDagZ2B0vTr0n2Wv1wsw3/9lyG5zzn4lrPneryKfufafK2CaI90CADe+fOnTjllFPw3ns1DaM5c+ZgypQp+P777yN5fEQYlFd5cLjMgTdNV+B+z2y185L59kA4q8prGAxz7I+pZZ8qTnwVPc58TFuhG6Cs/I+3LjEz0usj5YwXsHfU/6nTcQ0wsLtkZ+EfF12Aa087sVna91b3O3jW+AYSnXngBG0Agdc7uX90uBz9XB9jjniVL1h8hLgJM4U1iHOH7rimxmsdh3SLdq4q7JoXp7SWvsok20++UG+znrfHSIYNOShBHFywGDi1RrRH9/R5owsY/fkj6M4XIzXO3yn+2XwfFpnvgTGgrq5gSsR6pT+2yppwTfza55HxzmAMKg3zJR0pvAY2Z6zh2fNinfpf2Ef/A5UO7aRdZfgZSkD4b0MYWzAX35oexLFl3+Ak06ZqaxvvRZFk5iPVrgqPErpkGxsA6Zb/M6KNog9EVAkpsOvK8uKIqyEMPT+i+5E8wQNr+5eGNwhWeHhXDeXab/m7MYLXUk24MAbswtqPnAxJz41mnV/GP8oexx7L5eif+1VE9uGtjuDlnoQngualegzkj9cehnHh3fjbfDGuKn/RF4nCO0rAu62QGyBKaXEUYiB3EFkoQxKnHVe3jh2g6GW6+ku7wX9ce/1pk6APPukq5owNch9UGMMLn60PZ1VljTxcL4El+AI5rkgzvCeVfoUnFu7Bp+sjF0rOrX4JhtJdSF4UflWL+qht4CaVs8NmzERCamTTNKIxuGzUI6dYSsXqCe/41nMRiICpTbGa01MphOLtsGz9qEEDSw0+Bv25xQzsIxW6SKk9vPssrnizOvjN/lKdWpRXCq9toyq+KzYo/WBN6IXmwKVHdTgUc8Pap1p/bXhyVUTO6QR+G3Yq3SCPv02N1vKti5JKOUG0SwObea2vuuoq8DyPESP0vLoAHn74YYwZMwb33HOP6s0mmo8tv32EIx9fjr4pMi4V/B47m7W8hsHgZUDHFJ/yt6IbISxEWtTDeuUwDGw5pQdcXSY1yMB2Oavw2/Kl+G13kZr73RxMlVfgXGEZzJINlWmDcarrMTxsuitIBIjhHcj2eiS8xngNqoXY23QDu8gZukPZNyA32xCQy/sU/ypWWv6BmcJq1bO9y3IlLih4Wj+Y4HPTNcUIk7lmyGVgbrC3lJR3FD5hzXPgXc2v+unz6FcLq1bMySi+ehM2nLsBL5WOxbzy/uD1a+9s4U/A0biw1WR3Hobz+5AqlcKYr3lPvGw5WhYRY1MwmuoV+4smii6kx8Lui3lNCbiqVKspHkkOV3H4RjrWN2+x17+P3cs/x+DvpuHIx1cGLQ8KEQ0hxNgYOqdYcFTRxMzeFmcFq/SHWdKmPqoLgH1f0hFORdvHsc4XIZn8woKhKKmw4gLhd3V6atVP6qeH818/jgaEy48s+hI/me/HjYbvfWXT2H0UZ/Z7pLspdZSJ0p9vzCA/y/VvvC+ehK+kyUHRME3BEHCuSlhJsYB2FmsRiTuYo7Xbx9IMjOe3I29/5KobHHAEeE09kbkva4vm2jHobjiu2wjzhfPC3pbH7cTR107CqjduQnPAtDsYhgA9kV6jToYtY5g6bXc2/b70uF2w6YN+Qej3Y/q8E5G09F+wbI+e6J2otxHL/2bCh4GD6PUROOA1pWSu+snJ2rLBXTKCymZGG0HPW/cI3soI4T3TiuP7oFLx9w84XdSuKYguOz4yPYX/mR7HJaNycOfx3YLanCCICBnYn332GTp37oyvvvoK06f71WG9TJo0CW+//TbOOOMMvPLKK+FulogAWVW7cbqwEj1cu9VQby8eh9+7UH0kng8wHr2iFUoDPdgMc3yyL6dLrkf8h3FgzTe4YOMlOHPhWKRvfLlBJcaaKtykGqOmJGxVemE/10VdxvofP5j+hYWmuyHYtXDHTknauemZGboWuNWlba+sSjv2W4yPYJLrBdgzaw48MRLi/LnHw7r4je2hRq1j/IDhU2Qla+XCOsZrt+SegmBvLqdIqErpq07PVfyefyGgHY2KC1cJP+EqfBc0cNDc/JFxPia7nsfSDjXDl5nS90G7gHdWHVLzZr0GNkOuJ7e1NrzqxSxEP7+bP4SYIQUobjcUUZbxizQGi6WRMOj57SFphhBRRe9AyrwB3RXN49dzxV343zfzkJcXOSVxhzkbd3huxp3uG9R5k1h/7WT3di1qaZhdy/WvbmD/TzwB++O1Dn1TuSX5D1X8jxHPOYNr1Eao9FRSZbDAYy8uzxeO3iEt0VdFoDZm5b0UlLrBMAZcP6I7/LJuvdM0w5yVwkrmNINRMSViYCet418fJTbtN5UuGX8pffFv8XLMl46FyxGZmthvJd2Ea9x3YpvcHevkfkhadIdvndEQWnk5UfcOXmX4BXNNj+FSZQEiRaDon7OwZlh3Y5D1AcN8Phsll/6JfbO+wfKRL6Lf5EsavK0D6xdgiGcLxud/iuYgNW8J1puvx3/cwVEYhyq0Z23hH282eR8u3oIhrneDlv0qTMZXXHCEmunvyLVzbeUFJU4AJwgNqoPNyl568SrFV+iluxRbAWYLCzDF0fhUo4bA6qszRN3AHuP4A5atoVMtAimJ74PXxdN98/aeM5t8LFJA38xgMGH8qmt88950RIIgImBgr1u3DjfccAMSEmoXe2C1k5kHe9OmTRCrqRoS0fcY9nRuD1rucVhrFcLo8dFQSJ+cEWQgsDBGyevBDiME6LPX78d3nzwTMlzQy4erD+KjNYfVupLqdm1a59gMD1LWPYfKal72aJCsCzdlpST5RMa8QmbDSxZgCH8AffmjMHJS0AvXWIvXcp8eC76vWOukFsjJOKJkw2CqpRZ4QC6y4lUxZ2FoSoUv1LBLhjZQ0TFRuyVLPCb8LeeglNdLD0keX31uUc8BVVhnQlcTZpgUNx42foz7jf9TtRLWy5pB7uVN8VQozKsTIW9ibVQiEYeUDnCbQ5dNMrvLMJXfgCGerUFeBnZ9ssEeFm7cEKXSwDJpvx6o9r+FMehTGx7Ogus9/8Rsz90wmGrPJ+yWEv3OhvfeZWH3R6GF97K0g1tz74R1l+YtjQSiPiCRjzRslnviMOev910beSYtJeE7aUKQ0rZXhfsZ8QLsiQs9+NRQWNqDlxv7eyMlvJUBmh6GXmUrx1BXsOL2j2ZNCZzxzFkjkRKQqhEKQfd+BcLuU7eeZtAQAzvVVHOgzI74oOeIg6tdfb/Epu2rwqW16yvGl7HNMhsdD/pLEDUFpkq9SB6NWe4n8S/lZlWw0IfuSaxORbVnvtdrFwmK4vxpKLkF4Qtv1oV3YLqKS1CjtpJ6HIN+E89Ra7Jvz6/EtryGpLY088CnpwoZHHsiO2rUj2eMcK1D7p7g672huEV2bXEQFf+76JmqU/GZfQy2//SSb9kXZQ2rAd+YKAOmIcPxXgM7vHdIT30Qi5Fk1NrnQJF2jXrKDuMh4yc42x2Z+6U+DPq9IOkGNiNhTf05z2nxRqxJOEGdZu2w3JoZsbB7plET2M8ITD0gCCICBnZxcTG6datfATU9PR2pqakoKYmMqA1RP7zeoevk3he03OOs5sGu5iGssGnrZd3YVDgOfxonqYJfdlN2vfu9Vvoc/zR8oYYmMWPOWa08FOPmtSfgljWT4S49FDK/0V3tGKOBt1yIyWiC2VWMG4XvcLaojaZnOf3nLC3OEOyR1F/UNfB6sHTjUOtgACZD6NupoCrgZRTQMQ7sa3kF0jh9JH5v5nRMcz+HB+Vr1flDpZU4pCue+zoOgdtSPeX+l7Igu/FawIg2I5srQ+b7I5Hx/ijwtsh0PkMxa3AHPD5rAKb3D52bmF65E++ZnsUNzreDvAfMg73z6zlquPHO7/8T9v44bxidYESlu9qLX2maB5vBxmSqey2P6GHKjIx4AXuL7God1kiVvamBPojGwqErzpyHZZ2vxzqLFsotle2P2G5ESVRrLa+QB+N09+N4TtCuv7roFK/9z44Ar0aghgDLZA+s3d1YZGelL8qEMWn/c0G5/t57pykYPJU1vM+BdP7tBnBVWkmiegd82MB0nJZCw7ByWpRKVUVho+tgMyxxiaxkgG9+n1RHDrD+LGPpPx8Yn8Kp3tJDVY1/P/O2XFg2v6eKY1a5/fdv9ZJhRRmha3S7qoIN0sxaxiUbw76kY3C+6yFc4HoIR839IrJNbzSXVE1Toih3L+K/OAOWMMW01G2ZU2qENUcT70C5N/XLt1yPVGNIxaHFPMPFrd/bv8kj/dtk6WayjOP36SlPLJKlLDLtEYrseO3/SY6P81VJ8epn1Efgc8Ob8/xt8mVqSsXRLto7tEtyZEQB62MDNwjLpKHIyfH3tQ8Y6x+YmJyj4Mpu2j3NKmnsKW56DrYUIBzH8ArgFnY4HlmJ5MEmiIgZ2GlpaSgqql9RlnmurVYrUlLqzlMjIkdtQhhSdQO7WlQBpxtqmclxsJsyYU7KwsRLHsWE697CoCG11/Y98P4lKHljGuI57QH87YT5yDvta18JEC8sZDyOc6uKy2YDF9rAjlCoYp14z49gQJy7BPca5+IK+esahoDXGPPmpZU6QhsFmxMn4b+ec3E0Yag6f6v8Me4zfIY4MbQn43ClvxO6p9gZFPFRvaaqW89t8uZ8eWuKMk/sCuN4dfICQSsPFujFYvABQka84kGlEo89sr8e5rH8NrW+NsvLNpTsQLQYVvEbzip7B0PEraG/oA9csISEm2RNmdSrzjy54AN1evKR1xrs5WNl0kYh+P9SmmRg6/mLIcq1efOAveH7t320CF/9thQL/tpT47sbj1Tgud//DjJGGkqpqZMq6nXIMgBZnftg4JkPwRmveZe5COaAJxetw27LFfjVpCnR29z1exeHZ2vX4VB+v78Ge4BXsgeXjzhngNp0Izl6YFvQvLvzRPVzUGctXHqorrzfFCz11P225K+p93wLeoTIqsQZ6HixXySuRNAGLR3F4ZfLK7fVrIPLvEk7ivzPEbtemi4U1oTeuMN9I963XIopgl8AMFVpfORQ0sJ/IOmPOUhacj/OdczDHYYv0AGlvgEpL9sDjjEQkxI8ENsluRati0bAFP3XKAOxWhmIEikylrtH4VGgpMImBPdpTJyCY/jdGKrUvOdrI6uPf9DB7YhMWbnwBCeDz3GV4E9/8tjqHjCqjwxPAf7o8DycMPlysYdwB9DdEzzgXxUh5fpQmHOGoOyc7+CZ9Qb4BnqwA7UbSiu1+y2P76CmVLgTOjVrTe+HuZtwued+uNP9gxF/l9W/b8ue+Th1rxZpk8xVId0W/jVZG7LuwfYOzmzmtGPKLlgKoSw4jYYgiCYY2KNGjcI333xT7/d++OEHdOzYERZL85VoaO/wIbwcDNlVzXit5uHhdCMusfsxqLp2I3DZT6pSNfsLFEUJ2qYs4ZiqpRgg+Ue9pwzqjnE90mCu5sF1O/0dCMcaLUereudUjLIHmx0vM4AYTllA51QtnDJNVwAf2jEw5UE7H279xWJ1hx4B35o4CS9JZ+NIomZgX8YtUJXZq3ccfVsN8DaVwd+xkQI6pDuLtd8eLKoIEqcReYvqLS3lUmHVowq8HrbK6g67gP2wtj6sZOMK970Y4HxfXeRVMlf3U1Kz4x4pWGms+A2vwVBQXdFbI1CEZoU8xOcN7prauA5YjxStA9C3Yyo662WhvHXGiwNCRhsKV34Ae82XYoVBy0cO5BfpGN90eZULr5hewmLz3VAOLK3x3R+/eBUdNr2EH5c0PpR74oyLMPymLzHhXH99ZkXQvAi8GH7IcbjhsCyXkRGOEKFZv+5H8nvBVWmGtBxQyupb8xxc5vi4ycfm0T2f+7luKL3gV1hP1AZhzCZtYMmkp3g0BTkxB2Xn/4z7018IilIIpMBa970jKHpoZdfJMAfUfj8SNxCr5QEodIVfvONIqfZ8LBK08my/clrUQqmlC3KVdJQoSXhePLfW39tNGfhGPg6r9cE5L/0TG3/NmHJXq5+WXV/iHHEBbjN8g9WWW7DecDVWSoN839tQLUXFy9PCdaEjUCIAuxdYdQZWkaEyTBFNdo3vL6nd2O0w7BQsnvE7Ck7SnqNejLroJIv4CJfURC2KQaUZxBF76znFvTsEl+d6P82fK1/qaZrhmwg7ulasxXhhJ54QL8FCaZRae/0e53/xuzTc973uXNMH2WqD6RKIHUdBzB4G0ZKmRuHNhxYyXR97C/zvxYIKW1A0hnfQ2quI3lxUZY3G/oRR6jQTAqw3Zaqak6VfmTYI3xTS9C68SU+PqhD91wnnaQbHCEG0csJ+05977rlYuHAh3nrrLTW/MxQrVqzAo48+igsuCD9kqqFs27YtpCc9Ly9Pzf222drfjS/INTtLP0pjUaarDXtJTklD5ZT/IL/DCUEe7EA4t00Lgazl5S85gzuXssLBZA7OAcw/sA2lb0zF/j/9Qi7W8uKQistMqTKaePOIGB4IMHjLdOlGqreMjXrcVu08nozXVaPUlRo6pM3reWbeEmbAezv2RlPosKnD6ZPwD/ctONP1CI5kTw29Tf1FLugiJwPzv1HrX0/iNmOS6yXcaXoYWYn+QavXxdMwF6dUPzBfDr3NUYVvzHOwwnKrKtLkLW3kpdIZvfDEcrvWWS2vZRfefC72HJnaNxMJZv1/h4w8Q1d1ekeWpjQcDooxAbIlXf2sPOUtbDEOw3Xcw3hUvAxHkxuf+9shgYeBk5FqrunBLht8FV4Sz1RLom0pN/rKeIUyFs4RluEO41cwljU+FJOFqLMUhMBBLMWg1+GVItdRV/TBugTeg+WWO7DKcG29FQUCw5jjRM0gdIjAe+LJvuWddW2BSBwbM/6lzEFQ4jUDWMzoD1fPkyAFeH0ai00UsNLRGVuVPuqzzctBrjOsivack+qp1x7nrc9dTZPh9x534gL3HKzh/aG09eENN3dwliAPe1n6aHwrHavm107l/6r195VOreOdZAn2YHKOxnstiwR/ia90g7/tkzgHLvI8gJfFM1W18lW8ZiBUZ63Ut87ScAzLtk8R99cbDT628fkfYbPlOmw3X4X04jVh/ebqzzbi/A/WYUdB6MHeTikWzOifhdFdU4OWezU3mHZHuGWL2LOv4sqVwJ27EZ9SfxpWUzHr76ZA1XmGyyOqochswOc307Qm7YOTnL5Q4s+kaT51f0GRgtJG3jNGr35yntWJH7blY/WBsv9n7yug5KjS729Ze/e4ZaITd0ICcQhBE9wtuLvDsiwsvtj+WJZFlkUXd3cPISTE3ZNJMsn49Ey7VFf9z3slXdU2lux/YeeeM2dmWktevXrf993vXriLemPnfn9G2/4KC6c9NMnJpDerBqr7B7/FRdwnYFur6f+B8J5LYubCl5dNxq/XT0fMUYZ3Wwfq11UomNsNZGWN2YGD2QMVdyentr6p6xqyHRp2Nu197Zwe9OC3jg5zs/r06UOtuG677Ta8/fbbmD59On2MBBsk4P3111+xcuVKHHzwwTj3XLNdy54CEVo766yzcN999+GEE07QF+m33norvvvuO1RUVKCmpoZu53HHmdWEf88os8ukAdKEkjNfQYkrRaRLcCAycg6qw4Uor/9ep1D5InFsaAjAIXCo+u589G1dgDX73ofSyeekfZdgM4vckRuo+P4F8LSsQN20B5A3/DBYvrgSQxObMHTTvSZhq0zBQGIvB9jkpj8m8gwEJPCB1Q3E1d5DLSNtyAxrVbeozIPcTjk+8+VRkGjGUGYH7FEXhPqmjGrhRgTcVfhY/Z6TDXTjjdwgjBLXUBp43FGGLxL7oc3aF0PJ8Yo2U//rTaxyYyW9vUNCSTGaB8XTUWKzQLkKkohIPJyMiGAoTKSQlP0iPbDgybegVXZSUbXuiH+1h13NPpB621ZvDMMzvUCtjg5ka3Fjy59hq5qOtoGzkCgYhI1iGSqwE9+HBuDkDn6f/7CkawGt8138GfrNr8bY7a0odma312oPmviSlvww4o+HDsEd8Svxf+sacEVhf9zE3U0fL4ul0381P2AL040+ZEp1Z5L9/zSxoFq5qBXsbf8+D/v7v8YPJWdh5Cl/6dLXaMkE3uZBRXgDJXXE40HInDm4MC5sf1wdxVW8eWEXZ624WzwbW+ReuE94nopftR7896zXVEegBfpaEknDPPvBmOcYh5GsG2bd4s6juiWEy99eRX2n+9qSiVwLz0OKs7qAWy4MyOOABmBE7xIYQ8fJ/QvoSBjdSxE07AiW2Kdioa8A+aIfZ/DVeguJ3cIhrFZOuRwK92zzBhzOLkIpN9L8eKTrC+QWeFCC+oyWZiRJRiwRK5gW/MgcmvH9tFXCcAo31XuhEHEViLEo3D8owZF/wNHg85NtLu2hT54FZNMIy2dI87ckvdXue3jvRhzN7sCSZXEMP6LjwaaRnRCPRkwWjNng3/YrCr+7BtWOfmg98kVUevYu08+oT2FEc8JBqcgEBwa6l2wNhUMg9fFKNGKj9Sx63dOvRAKHcMnkD0lqE5tO43HbU9i5ZTV2//gWGgv6YuI5V+LiKYrwYkewyzMeh0YfwqHsYnDu/iBbf0joM4wU1mBuSFnLxvdiv/yKXW3Y1BjEiWMrUPzsSDrXrzvoQ5OPfNjfAqfbzEIwIi3Bswf8zRPOcgSm3QmZV8boBDapyh8K7d11Ww968HtAp8oKJKh98cUXUVpaSm27HnjgAfzlL3/Bs88+i0gkgnvvvRdPPPEEONUmYU+CVKaJQrmUQpUh27NkyRJ8+eWX+Pjjj2nw/ac//Qk7dnS8z+23DtspL6PpwjWoZhVhjPnjH8eAIgdc1syLWUbt3dUo4rUbF6L0wxMR++gKNIWVx5r9WShzLIc2ORlkhxgbmpvr4Yo1oK5eWXTlJdK9h3lJCaz7DB6HptKkz66UUhHf0yD6Yz640Iw88DyPNtVii2TwCWq8ScYDUeXeOP9dvCbfjEFMTcbeW4JDW17Fl9Y/4LK1p6LwPVWJnYpYZ+75EwwKnJqKOcHHUaXC83FiEkIFo3Bp/Do8I5xlqmRrXtIkwJ4QIAvGJLgMdkFxXQU+plPCv7D+QbcZOjd2C8ZFnsau4qT40p6G3q9mpKwb0KcwucAa7JsP+/o38cBaD7YGBMQSMu1H3+jteDB6yZsrMP2xeZi7JSncdMm++Xj+qFIc1t/a/cVpSq+7Bk3Uzqhrtp873cv7AE7x+e3FdT2oafj4VpQ82QcNn96R3D6tgq0yWEhwTTCjset07N4uZe4uKijQKehMPPs1+n/fb8FfxVOwXVKqcbGY2vOpzi1G+uzOtfPQHcjqIlJTQNawti6A15bswi/VXfc818D6a3A59wEW2a4wPV7itkFSF7zt2RHGK6fQirrkTFZ6CfbvV4CrD6zCQYM7rvA7334QHhJPw26HQr3uxSr76BQ4jGaVHtfz5eytW33qvsI/LY/iiLBipaahoa3rrTmvOc7Bj4kxeEw8Pu25IUwNDa4J+uWnX3vk2J0gK+NUw1fWw03/+9uSSUu+k+yMMmdybPDxjql7X8p/jMct/0BVS3p7B0HL8g+AV45E+NtkwphAMDgLxKOZ75eybxf4Rf9AYsXr9P+GlhbkR3aif8s8NP37dOxtbI84sNsxDFtEsz7KLbb38KHlTziOnYeGQPdcJXY2JaurhM21H7tBr2Cn0ufDge5fo5ng8m3AbcJrODL6CU0eExYeE2pfM0jT2tgk98aTiePwA3+AyS6LFCWMloN7Axe+sQIPfrsZy2pawcZ8VCfFLkdwiqq1QhAJpN9XcgXUWltcd9CEfHxsOxY/uRVGwoKJzyS/bg95zPegB79ndLqcMHHiRLz66qvwer2Ulk0qyKRyXFzcfVuAXLj77rsxevRo+r1GkGr6KaecgqIihQ49e/Zs/POf/8SHH36Iq666Cv8T4CxUhTqq0ghptYsucGUSTesv21lXjw+/+hyWwA5AGgavUAEiZcbHfDQ7uUWKwcur1YIUWmg46APLsrDYnHp/JoHEOxBnlYW+FFUWbTzSs6cWdaFkmXI1ZFyNp778HLXNrZhaORF7E5pQFQHHACF1tzSrq6ZABISw+FD8FMxw9cXUZYfQtNM31puxJk6o9OlBc++iPKAVsKhJgzCfB3nkqSY7LiM88QZssZ5Jqyo/thDa41H08deY2XgxolRMniAbZ+j9Gt/LAdQCU4qC+CB8O8KiGzEDnb0vU48CNt2n+xb2RspIuMZmXtxrCMMCLzwQUxRx90aAzWSp6NjUnlkjPl3XhKkjo7grfj7t5fWj41WOcDyBiChRtW8Nrp/vhm39WwhMvhXhfc3BUkfR0BaklZm0XveUBIcmSEeQZ2GQbVm/j6frokatqp9xczgBjVhaNWoqdjuvRu9iwnnYQ9CTCgIV0WOIYFeOakiefxOeEl5CP1ZRxt7R7Ef/3kovdzmasUMuzWgT2BXsLpiAI6P3oyq/AMk0AyCo145mMdYdWH3VuFl4y/RYS8E4WEYcB2ne/3Wogh2ckrT1MsJS/S3c390AsWQU2o5u39vWOB/k7T8HP7WUo2TYgfT/4tBGjDNUlLJhTEGcVnSrevemc5aGn+RxyNys0j7WO/bFS41VKEEr7b824nOrUhUluKyFsCjMQXg0HMT9QtIz+ZH4yZjLT4OR82ZUWSeJ2U6NGkMCvo+zY+PhRO4n+rsyvD7j89Xbt2Bo2wosT+TDWEtnOZ5aGJGgMpYlwN6wdgmmL1EcEXYOOcZ0LR3CLELHQsCu42t+Bv7W0hdHlJXiHsPjQ6wtKGW34m+WJ9EW/xwxKMegO2rTGo7l5tPfpU6WKPCZEAm0AsUdZyR0PvnG06RGyatTkOBsaLl0c7vvNarfa0J9peT24wccZUMwZ+utYAUrFM+CPY9pec2o9iWUuVYFF2nW51SCqC/3SEnrEe+GuKeGTY0B3PrJOgwuceK1s8dj4ITZWLNkFEaKqyGlnPMe9KAH3QiwSaWY0K6JBZemKk5+/hP4/PPPsWDBAlqhnjFjhqmqvW3bNgwbNsz0evL/qlVK1eh/AfX+KK2MfmI/AT5vHWatfA0lS6/BxkEXo+Dw5FJUatqIu/x/Qg1Ksfq472AXONNkTChJmjK1cTFMvGHtLymZ3bUzXsQMNYRYP+lvKKscgPgXjwFRQI4pd1PJ4gZirTqdk1BtLbK5h+mkw1P6h/cSpFAL7uf/hRhjBcMcoFNsNXr8a8XXY07DGXTfD0yx9eCz+OoSP20CktD4UhwHedCxmDJtTtZtqAis0oXJBFUAieCR40fj5g/X4qaZg3RROd0/Xu03JbHDPuwWtDH5iDr6kHI8xVzrddgeIwuVZJ8rwQpuNOqkKC5lMlfT/yY8QSl8kmS+ZvZKgJ2lgp1wK33WRpzGfQ9LsC/2ZTfTittiifTTXtah77su+CjcQj3igT8TrXTdco5uQzf8OjUF57YYkzHcP7z5JVxj+Qwb6gyaEzmCSKfDkbre7HQ13SiYZ+0zHiA/exCayJnECgiJRMAIaPAFUZzFFOIk4WdM5xbp/2vzBhusxwLbVdT7+V35IBDiSKWle0nYMOvEGrk/nBYzXX1swwfYZH0YK+qJqrhSKewqJDF94bhxyGUYOHY25HmP0f/7rH0Sdu8IhMZfSbj0aa+/7v3VVDjrT4cNQT8DWyMuAWy4CZYdP8DbuAslFenXQSoK4rXox3hhZ/ti2EHn6Y9b7OnJtUywqc4G7vxkouOnxCj8lT+vywG2hiHsTl3F3EmbaswgFf9ULpuNSc5/RERuqTw4TX3c2OPtbfXCncOFLBWBSES/VotsQLbOVSIaRca60d63nyVLaizDtachasmHKCfg4DMLYvKGe0rE35LGfiDbkeoxvDcSzEIKG8vuTSYT8kLb0EiCO5Wx0lnIGa6ZbMJglbaYwZhxz0HWzhHDoyUs0iRkqmtKNozY/Sa2Wv8Pq+QB+Ef8WiLpCzevjMm8wmLMk0phS+y9c/RK9CqQVvUFu5IhPEva2QyItWzP/SEpFesx5Q6yJOsWmHALJjDrUQRyPSr3GVFl1Ml7UFizBz3A/3qATarWBx10kB5gEzz88MM4//zz9erx3kB9fT3uvPNOPProo2nWX1o1OzXQJ9u4eXP7mcts4LP4Gf8nwakBl/Y7F1a9eh3kqB9jJ5+N/IXvY39xg16BKzHui0p7Ir6xEwcU6g8zavBHvFK1AJv0UmrHYce8lzAdCkVpY91i+ns9BqBwwkmE80yr2ASsGKTvWXbYu/hp1Ub0KS3GWGcLxv9wBmxymD73wcpaBKMiZg4tQcVe7j9Tton0Ln6PoGxFjGfBeHrh5Ogd4DgeT/EsJIZFQl0GsixDK7saPcxisWQcC4za87jAdQiubjwDN5UNyjlmBpblA2q+RzB85v79C/H91VOpjsHODYtolbslTq6vamqzReBwKqqzbgsD3mbRA2yNKpv6vVo1L1tYOZzdiX8LD+Ab/xDwfOYeye6CVwNsVsh8/Fq4fKSGWn8UXscC/xQcu29/YDXg5uIdvg6HJTaiL7cLi5mo/p619SG6JFi524thXbyetX5ikiTKtC0u2UerDDsTyWV8ayiS1Q+d9HJn+pyOXOvaeGB5oUPHpatz2C8tNvCJ8Qi09sZMWRGJIkFBts8rjNWYH5CUeUObU4i+wNOea2mP4dOeAd2aWwudFuxT6cHgUpfpczieo0JTLHFq7ebczWRIql35YwIDtq3Ebv4p1AVi2LLrLGDXV4jvewFkde4zYl1tK5rDEohGmnF7toZYfdxz75wG7tpf2j3v17T+BYOtGzHX/3fwfJX+uNNtvhdm228uqlJLnUVUaJFYdRF6N4m7unqshsVW4Sj+axzPKZT/lfmHYnKrmYJOwbBp38GorSpE5+Lw6IMYyOxGv/gW8PwE/TWtkhUrpCqMZbeioaUZBZ3YznUNPp3hYdk5F/kfnY7AsS+nsYs2Pncehvvno+2U5HYXOKzwZ5rvDTaPqfsjXr6KVtizdtUbEqrRsDeDdRQZs3vvPqixayyC+VyQFiIjhGgzZE/vrn2JnKBtPeQaNCFDslGQgmD2xvpKDbAllgevMqTIse7QXClFaH/4WGYrbgs/BJ4/SU9oKm0AMXocuzu3ZJznDZVmIZKsUts95iTieHcrXb9kw1bnPlhZ68exns3oHVoLKysj0c3tLfQuxTvWu7E2PAI8rzBRAnwBdkWLqKbLf8M6+b8dnVnH9+D3h24ZUH711VcmevaehizLVMDs2GOPxZQpiuepEVq/X2rPN6EyZ1M6bw8kyCooMAt5/f+Ex9O+l+fBiXko5VuwjD0W49T+JwKOlUz7orVkJxjB9LhNe4JldUEnwfBePmLoiVNVgiXBidJiJcvK2Ny0VEDofOQ9MycMpT8Em9evxLeJcWjlS3BigRMzfjwBJYl6NEWvR0GJBygbBQyYjr0Ff6OqWM3wdNvCDItF8jBYZJb+LwgcXhQeRAHjh0t+EZvcEzHcpywc+1QUgnenjwUfb6PEcSLuQpDntuUeM6XJZMZ+QyqADK9NlBXQKrdTzZxva/RRsbOGmACy7GFJhjq/D9CwRH8PUYZN/d5DMR8xrhn5zICsm0MWQiXxmr02zm/x3IidtfW4uf+MjN9RF8l8bVotLGauf5D+PVDeAb6D26eRSF0el/59otbGwKDL+8m6i6jSbsjaC0dk+AxOpcAbp595kQF0nGsw0om3+SWMyLEtua51re1CsNn1/alpaMaX8xbCZeFw6lHmPtau7nNTxTTc8WsBZpeV40Dfh/Qxu0O5djKhWm0PIVgpDYBUXEVfG2xWtQBAFvbKAXI408drZ3BUxSYcNXYhUDIUKEja/1jtqtibLHZ7TAtqJTIqC1giDcYj4inwMEG44/UY3qcPdq1r0IMJiUmgMMP3/SidB6s1hnruJxQUJKux+cXJKvJAaRugnu9c510gPfGtwLC+JaZ9K3Cag6Fs+93sawW5O4ctHnwsTaE/xD2iRI53+VidGnwFI3glY3hT/GJccfQFWPLSeppMmcgmK6OleY70a1itBFoZEY8IT2MWtwg7IpUoKDhff0mMacLV8Svp3zdWTMWkTmwnx5orycLOn5DY/AWKJ5n7nScGvqZzQ9PSpPUWL2Qe57waOBKacGePmUVVYqafI4XoHGeEw87C5dl7641p9S/iTOt7WOs/DQUF9+mP7whHYUzR2KwsbF0cD7X9j8bgxf2w0HEdyiRFh+WzwrMgMhYcE022AxC4bWRC3vP7K6jnneEsyMtX1y2Mef2TDXYDMaHMxcFe4EQ0HqVpd5uNx+nc5+BBPmv2HtlW4/UeDiQz5sa7Ymm5ucXLGdkFp3FfvNWAq5zcEOi/1UVT8cL6SjgHSTh3YBDWokGwdvM4W9W5kDA3tOP4Wu8/4dOVtbiz9wjM/C9aJ/+3oyPr+B78/tCtAHtv4/XXX8fq1aupKvnChYr3Jgmct27dShXLy8qUSYgIrBlB/ncZ/SY7AUmS4fN1vVdyT4FkvMhF6fOFkWint5D60DKAtdlsAyTFY/B6k6TUoF8JjvtIOxC+rz9C1lKwF3yPcEg5fsSWRpRVqnI0qr83oSrX0sf9SrA9MLYBj/z5Cjh774NR6iI70Oal79lQ70dTMEbpaRsbOGDSEzh8eCl9ziYF4WIiqF7zBRBZivmFJ2L4WZntXPYEHJKy7TarlX6/3x/VRZjI/5Ma3qZVHYINAR/qvX4MVwOmQDAGWUwn9a7eFQRJCcjRAFVKFaNx03FOBR9O6O7X/qAIMcNrBbWKbldteGpCPNxyIepiDhpgy4k4WnwhGG9pxW5H2veeHX0D/YUaLK6bTj1pJ3NrM27T8GJ7zm3uDnYmirFOtiEgKsc8FSFvUozMiHAoDFtAqYjySHR4+zRBuGiMSY5Z9ZJJxMzXQGewgx+E6+O3YrTTg4kZPqMiz07VoitdPKW79maasJTbBzMNr40EA6hQ//7FNhMVGT6nvWs9HouCUUVl4rKg70/DuoW4YOXp2M2UwTt1Ge0X19DVffb5lblATkjYgj6ok/IRD4hZPy9usKx6RjwKh8jKdS5Flc8hquGORAAF8MHvbYPX23UFYevGn+H44R7EBs5GsDxJcI6rQRsr5b4OO4KI2haw3jYGxXPewcW/vIcj1t6A9b6hKDv7eywMvgGhQdnnhoYWMLZ0qyUnYjQAj0SVOUbfTtlcRSXnu7053qNWfO188rxTyHKHzneb308D7G1NZN7jMYCpxffWG9CWcMLr3YSuoC9R6laLbbvkYuQV9sHB8btAWlmrbWforyNV8tTtaquph6bvTIJrjfFifB2zbT6ms6uwUqpCvU/q1Dndxg/GENmFAiYpXhnytaZ/BpOHArkNvrzRydeFo4hm+C6iak5/y1za59S0hikjqzLfnlFUNBxMvr61sR5S3LxWaWpsQTzRdaeD9sCHmui8tCnuN207TdgasHVXCyqsXZwzAso+iQbN3Mt3z4IdERxjSwbY3+afgkKvE/1bAhA2fohE6WhIBYoVVXcRVdeAhI0WCMahdRW0NPvbpeCPLLYCW5S/Lep9Rw4FqcFYTaMPf1E1A5qb7wbLdl3AN9M839aUvB6iMeVaJwm8SCxJ6Zes+QgOn6OvG7jaJfC8dTTEouHwz1GET/MEFsPLXJjXZse6DQJGlHtwjLN7c6E2dkWG18cOabkiJDl/MLk+7EHnznkPftsg57OjjIT/6gA7FAph6NCh+Ne//qU/Fo/H8c0336C5uRn3338/7HY7du/ejfHjk72I5P++fRVF7a5AJNLT/yUgF2V72+NRzWBGbH7K/IQkmt6riZFIMgt73Iu2OAdOlPQLn/Qhb7ePwq4WPxLWKgxT31tsVwbTN4l9kWAVMpyVieNGvIKFrXWI9ppIA/NfpBHYR5Tg/GAOJkWUxVNItmKpczp67f8i3Rar2hkU5Ap0heK9ebx5tYLI8Rb6PXIshHO5LwgZHqI4HQMjyV79EocFr0jj9ICbLtwzbJuk9iHN5n7FbO4s/FR/H0Qx3dJMQ1sYeoBNjlOm/WVVH2UiLre5wY8L6ggl63hcnWfFhN0vUxuO7c1BGLs2CZ0/9bNKPQ7KJuiTZ8U54tn4gvtDxm2SEuaxsSdxwaR+8IZiGFDoyPgdgn935m1KsRrp6PYJanWXZNq195B2B/pbav/6yYZYXBk7PJN5W0pcSmKp2M7Dq/Zakj5b42uDwWSFImgrz7ktma71aDgA4fkpGK+2aIC366/RVMQtcpQ+Vi/no0xVju/qPkfJDqi+21fyd6IhEMO/Hf2zft6YYg5QY5kfpbE4IK7sgypGDqsg4O/xu1BpW4c1vqchiorAX1cgqLRWImRk3B7Sd0kwOrYcqzavQnl/syVVZ1BBhJlI/67bBVfzIti83yjfAQbWH+7EEQ3P6q+NRcJpx4WMNyJ6RWEYjwS81Zz0FVUng5xzvCo2KZJRnuOcZntO03xgOCv+wv9LV3gmCaxQF8eIy1AlLrMq8wjRAEkYxKIoOGvadoVq0rVRnFwCMcPrent/wRnCS3hRPAzeyKGdGss/u2bhoegg7MNuxvOWR+hjLJi0z3CoSbntzQHsoz5GHCUKMn2Xeg7IOEv9nG3mH0Z5AAEAAElEQVSvXYnSaDW2TbsNw8cl9WE0SLGk2nI82IJEin5AzYpvYJ96arcCt5zIsu0OcskYpltyf+nqnBFX37c83geVXG3avKzhgrrj8GjYiTHPjgMXUgS8Gq9IaTHpIgYXWoAdQK8CF0JSMjglQWt79mmy0Yc9oRyHq6WbwYhh3FKQZIKRZK3Ed92VQv8cw/UeMtwfiHvd/MQI2jI20NA2MK/oZHy4ugh/KFfewzcqLBHOuxmRWAKt4TjmDLPgrIEFeGtDBA/O240jhouYPbx7PuukQEO3l/Cn1O29/bAh+PPhQ//r1sn/7ejIOr4Hvz/8VzcGXHjhhXj55ZdNPzabDRdffDG1ByMT0eTJk/Hjjz+ahM+Ibde0aXvPhui/CUTIgwS7maD3jqWIkUSgBIiEKkhQ5rEjyjmR58nD+FmXYui5z2P/g5OUuuLD/4Tmcxdjn0tehk2tsOrfz1lQdcA5WDD6Ppx2rOJcPFoNrgkcTBRWcicnga4sw06q7eSmbCvskg1Lp6GKhWmWUUIihDuFf+MO4WW6GGYNx4iRJeqXrcGYkTei1TMMTxsCBdIXmwua9RlBrT+z8ArpHVP+iOP6t5QAn4BT/UuJ5cnnVrMwnEG82uTXS2Blie6cQCurGbEHVEaz4YjgBzgj+iYqkLlSzRgWk6Q3vrsq0zZGeZ/dauhl1NTzu2FXoqnLZs1WajR0OYHLY9fggtgNaDERLwkTJKT3nBIbuM5i56rvUKYG14SuHnMkHYMFqzPJYCEV1UP/hQ29TsCmMUkl585iv10vYLN1Dk5r+rtuKUcs4rKBFZXr91XbGShlvNRmxnjcSRKoVNVa6E0qn93AyhrlOKxtMM8Zg8uTtdzod0at5M6jVGXyleS54FzwEPrWfk7/lxkWlh3fmV5rZPbojxmSRCSpZ4TVbu7UDfrbsd6hbVDKd/hj2c9BLjzBzsEf4hciljcAp/PfYxC7W6fPdhmGa+pSyxdp9oMadrWmMMFiQYxYrPhbG+FOmT7HVCjj+lz+K1Q0dk7dmvTKEp/u76R99blvdzi9jiCo10wkmjyHL1nOzPiZMfDwyXZIakLLiCHSVkxi14ELZ1F5NvQ6k+Ru6djZ+PDIlYjQ+igwbeXNWP/FP7C3QFgdyh/mY6AlpfT/u9hSRzBdWoyvy59Cg1ygz3WDmRoMYOrwd/E4+tinif3p7xHL/6wH13sSzjEnovWYN2CZejVYQ89Oh+4p2jGiBRxlPCxJDMJ8aRQ4e55pfbCnEQsnq8AxPg9nxP+Ei5g7wBh8yxdt9+LdFbVoCyvbucar3I9WSANx04drMOvpBRB/uA9Fr07H9J1P4hB2CfqE1+2xtRMRvNTgWPUC8t85GraVydaKHvSgB7/BCnZHcOWVV+L000+nntzjxo3DCy+8gIEDB+Lww809ib9XxA0Z8lSkeiFqN9s4QxZ+IertSJZteaNmwzdqNh0MSn7dvOKRLS76Qz8zVTGU4WC1OdC7uBD5n54BX5FWD0hiv9CPwFP9sOOMX1GiqsgmbEX/kQC7xR+iVMqAqCwAnTZDBlqWMKyQAfSCqgwYbmzZ/I9bC8big0QDLuU/of/b7blpr8YAPKQmN1Lhj7OU1kZu4uX+1TiB/xY75DIIljPRIrtAJJx28ea+y+2Nrer5MuySGrySc0/8yo+K3ocA7HjXcicVDdKwpdFvspzZk7CvfB6cbztifaZDcicDQg3GBdCf4ufjGG4+DuJWYERRyrEhGYQMXt9p30eSPgmg2OPSJYR2OEZiO6XwDkNX9dL71n6Kldb7sdq3H+k+S3s+EJepYnFdWwgz2BW4TngXn4dJEiQpHkdEYcgicxRTjRLfahJmdmobhLLh+t8l57wJlyPZJCDYlHFnQ4xqOJcPnQyQn26AiPuQ4IvES6SK3V6AzYhKEHVm5DWcaX0N60OkalgFMa6KDpEklSER0R3E1YpKVDYnKkj7h4bybva6RQceCbF4JGRrHiKf3QBt9JIKdq0vbmKQJFLovvSxRI4A22qnfepj2G34ITEWxYGQ6fMyIRSJUr2HXX4Rg1Ke2yJVYCBbi2Oi98Dc6ZrEV/L+aEnEcazTXM3Sq+xdQFsoqou19Y9vobqLn7DXw2NN0rIJFmEUiNGhhta6LTp1N1uAo2xbcrxVtpFkbSf8ohMxWjklyVFCMSfDzxtjMSAlKa3tv8u/GZulXtgqV+BXPnOrknDgLXjbew1GVKQrt1NVZZI7jmVWVfb3Pxzebf+klPUCG4cSlxUV+XbYbt8F3KMcxdJQ16j6HcEgMqf6gOG9kjogBAvLTsfsnQ/r44jQgLuKfkw9XK0/odk6AfdHTkceE8TX1pvpc1WRV/CseCT26+1E712NKN5L+0ruM9q9hgkF8E7iACRkFlOk1NVMOjbWteosBqLrQ7R/YmpyVRAE09woZ7Dt7A4S0eQ1M4hQ1Wk/uTmhm88EcQT7KxrqKpE3YCC2NvowiVC4EyzmbVWSdN5gGOWk/a/tVzxreR+L20iBKd2nvjPon6eMiYqC5LjngnUQ6pchXk7uiT3oQQ9yoVOz6qmnnmoSFCMq3qmPaXjzzTfRm3hv7mEQKrjRc3vkyJFU4ZxUt9955x1a0SbK5pm26feIWMS8qNFAFnCNQn/TomzY2GkIFNyBsLcJWPskMeVKMaZSEQ+Difkhq4sy4jPsWP1vCJEm9JYUaxYNpLKjCS71D27Bzlj23veW5npoxH3GlmeydNpbaPIFQLq8WiKK5RBvuHmR/df8uQl2NAdQbk9QyzGv7AKXhbYncCzesdyp/19VWmBk26Uh4e6NW+IXISDbcWZBZs9iXlUmJ7g69hxG8YrH7ceR/bBv9Bn69xEp8ecSdjQUF+0kvBHFJ7neF8Zi62VUHXVC5CmdtaDBF4rutQCbVN2oCJzIZEwnaD1xpH2guuJI9IqvoItAJp4cyy3T7lcSHkRcoB3IhE5HgkFDcmRt/sF4WRyKMz29cUgX92NkEQ8PE8aoYiGj5cmyFh6DpAp8uDlOtIB1oS0jIrKACrRgJrccc33L0mzV2kPvymRoYEkEYROSVVDeoiz2SL8voXi2R4XsFKWUFfB36X6U2mrQ0PoYUKnYn6WiubWVLuzIPECSQ73cPD1WW0IWfCMeBDnixsl5dR3yj+64VZn5tqUl6wisbnMg0VnUJjxoZoahSLCACScMATaLGJEFN0DKYFWT0BgzBhE8fftZFjfnP4b1Dco4f9vS/rYSjwP6O8O53bbv7fh88ZdYLQ+gmhJaQsSImNr+o7kL6NtCkh0dTGDlCrDF/S6nvwsZPwrgx8HRh7FFVmaWAU6HKcAm87+GH7gpmJGYb2YZZVJWjmUz2sqM8xofxJO2H2ki40XxcFwevxa3FQ7GvlmS0jv4frgidiL9e2AmShAxbeqdj32zLGXiqv6IpFpUpmL/kSOQGLgATVIc5WqSmoITsJXtiyppB9r6z05zVdhTsLPKsXQ5SEd0Euv8VpRJg7FQGo6HxNPwsju7KGa7UK9LH+PBM4mj4UIIV/Af6a0IccGNq3yPYB/rYhMtnVa1t3uxf7/u272uq/ejti2CqiInKvMdWDH2XspwnG64r2ZDdaIY5XIByhkvTc4ERBHncZ8rStncvjS5RtYKgWAATmtWvfguwcclU+RlDhbzr52mJzQXSsOoaOAF/Oe4AJ/jl8YhwICB8CSUoJroq1RzZ1DGQENDIb1Vkra/vAzFla6gUCWEFbmdxBKcYmtrAqPI/F7XTOf9HvSgB9nR4QB70qRJaGjoOLWHWBztDTz7bLIHTsPo0aPx0EMP4X8RmldznBEgqH1lBMwpb2CIUR6TrGMKhyBcOATNW5ajNw2wlZtvayiOna1hKtJSvOsrVP10JXY4x8J+7qf0+R8+eApnNzxA/67e516gUelLVL5IDULVao0mOJUJkdbaNJ/HVLGVPY2GvHGYFHkcVUUOUBdbY9AsJ2gPuAYxkcDF0Zfo36Ti0JhFHMWGKBVq05FiAZMKxl6INxPKUvPsDFRKLcCmFGDwGOtookE+AVmsaBgeIQGaAhKwz7POSguwW0JKgN3oC2GIWgkifrSk794IeS9SxIORCA2wG0JSxnqtNmZJ+8DsxPfoUzUabb0uRKvsRqHap/6EfzrOFWXYOhAzNl+4Ju2xErcVQ0tdKHF1fR6yqotTq1VTDjBjSdkp+KnaBw9CuFl4kz5WkDDT4nf98jr6sSp9tAtjnYiEERq9k4kiEmyDp1CTTAMs1mQ1RYxFEHj1NPT1L8VHfW7BjGMvRVdQaFfGp8dhxwjZB95bB3c+kzWBdK50B/yRVnzc+1UUNv1K21Jam3YhaK3AH8WL0Ntlw9imP9NF2erdbRiaWobtDNQAPZXeukkqx0T1b7ZiXFaLuo7go9V1+NcvO3Di2AqcY3Bxtgkc5ChjCg4Y93BTZZTAaZheLJb0xf0LZ+yDN5ftBs8yKHK2PzbfZw6hc9RwW3oQMmD8LFy4IF8X52RTgmiCKYnFCLE8bExSdV0HGY9dqFwyatC/eeD5yNv3CuWj1HYaElBpSGU+xA3z/7+YEzFg5vno992FSBh7YElbREuAOigQDHUGUzp5zWjctRkRfxP6DCM1PaDcJRCaEGUJ/J/laQwQ6xBL/DGjzoBmdZgPP8azG5EfJ8FT0i6sIxA55RqU49mFUWVbMohqW/kRCpY9hm3lk5CX8NKgyJafvKb3NLSkFFTdEA2bCmbg8boR+v+p7fOdAWFZkNTBYeJ3WGFdgGfFpNr22c5fEbUWQ87gIx2U7bj5nVVYdMMB6C6WLfwaDVuXIzJqEvofMhtXH5i0tGsP3+efiNt3jsOl/EeIwYKTxSj+LLxMn9vJ3Ay/7KBOAv62ZjgL0xlZ3UGL0IuuT0aVWPCIJx/lL45FIq8/Wk/6WGmtM4AInRLkxc3rcKLI34eobaruB3tqXRXvNRHBiTdDLEwWBZrVOTAQ6hE460EP2kOH76733NO93rYe7B04ivqg6fyVYBIR7HjjSoyL/oq5Q+/AiPJ0OltqDyyhiJNpuHrF17Auehy7XUPA7n8SyK3JEtylv35oUPG+JghZirCOH47hotLjo/WVsmqAzRt8P1PBRb1oLpmi3CjUoHRvB9gxRkAdilAkKMfDsLZCW0sDrP5m3cOULLbi4Ex92JlQ0Zq0yiKQ2wmwScVbA5elYsQLFpwdV3pn57L3ZqSZHhZSKOkEbyUOxNF9zP2+2j7QbTLQLpfaksHWPfE5+FLaD6cXj0JyebVnQZTVlW3PHB17DFY1F7X+FbFVTtwVPR1jrbXoK7NohQvPLdyJU/atpIFNLhBxpFn/XECP63sX7Kcr+Z4+phBnjHBATllYdq1imnk/yHeex31BaboahrtCMDY9jKh/D6NZ5VqxdYGFKftraXBNMPKjQ7Dl2C/g6T1KzWkle85j0TAGBxbSBfvJNfeiEV0LsAfkC1QsiHq3V6vnKUfluUF0oAUC4rxSnYvN/zsGRm7CKtuxAE6hVVUt+EI3+jyV7ch8Pta1AOdFnqc94Nd7DkV3SPK92pbhPO5XlEYn6uwcgr6FTlTXJRkWy6TBGMFkaA1hWET7zVQqSIb3a+A5FmeOr6T7wrcztgkex+nwinG87ihL/ywpimeEv1K/XzE+ATxn3h6iMfEMr9CAN0vpdNFoLAZrFwblC/xpVLDr8KrTkaeyCfKcNiDYRu8pGqSU873aOhaaMsqg+AbEel2Fx8QTqGryWUQPQ01oNvnDeoDtjjfBm2NbRnygCIutz5uLoooqlBozHADO4b7Cs6K57zvMWKkX+IHcSgwudmBw/S48Z/krdsRI8HRB2ne0fv8I8hoWIjZqDqwjybhOD7CRJcDmdy0A37Ie0eIxEMvGYXdtDQYFNqBo8wadnLOhMYTK7iSecmCHmI9CW380xWw0eanh5pmDMKTEiSfmVdNECEnQdBXra1t17/E8JoTR7Db9uT8lnoAkl2AZk76DTciDVRVo7S5G+ebiYOEdLGqLAvIsQAzTa1AWnBmvQyOI24kfDjwsnkb/P05tbyFgOR4BxgkPgogGFQHJPQkrx9L1SV0j8OtOPw6LeCGpybR9WFXa3CBMSpFjf+KslWTU90gFe7MwHLsKB6Ayz6YrnUMVX+NUd5Ye9KAHv+Me7P95MCxkeyEl0xIqU64F8bzlK7Fs3XqUuzjIUhXCjIPSp+2RJkzjVmGlyMFeqkylJXIzGmJR8BaricYtizFIhsqO3aoGyqq6ZipFNrVyIJ3yFv07tmkz7tx2F/KLypBZWmbPgNw8CUjFiID0ZWkY9HbSW/2Q6EO4NX9ku8E1QWm+mSZWE5By0qUsiOn2NasjRLQnnY5H6GxkG8n2lhZ4iLkzxcjKQrwm3AuOkWBLJBdxg4rsuPbAdIuTV5znoL6xAcd4lCAsFYT6XiOXIMp23S6pPRDbHTIU2SyJB6402VdMEJUYWtVrGFyMP0Zfxkx2GWaySxEPjwIcuWm05Hj5ImKa0JJjyT/gXPwYwqPPQeCApP9rZ1DT4qP923WBhMkeTQP5OmNwTWDjZFOA3dfNQRMAH1nmNPAROobN6xbpi1eCiMTrCSFCCa8ZegG99pyqF3R3oQsjsgZRthyLtSCRviUVsaYISAhYFN0BP+x40zeaLkqdJPxTF4RyNxd9C/KPweM1AzGlaJgegBFMqyrEnbChWq7AgmovJvfvOk18UNtPOE94C/MCoh5gR3kPtQaT6xR2C8HVh45FdGCSmm6sVvqO+nfO7yh4fSZ47yb4T3wXKDqkY/NXhuo0SfAcxinJvu2G3m8dKlOEwJWiE/FVYjyGSl2r9f/ITcaORBgzHYZZT62Ev2G5h1Jrixg/amOE+LycPk76Wt/dLGJn/HzcJzyPqfIy8DY3HhVPos+fLgFa3o0x3EPYYJJWngvNXi+KSCE4ZYx5mBCG174L4Fr9sagoUc9ugmEt3+Jt6zzlu7JwH3ZvXobBsV+wtHYa+qQI1Eu8clxZAxPKiDU/vo5p3nepi8TbQ/6GsgzXQJ8trwCTM7dgdBf3SOdjbuuxuI0fDEVuTIHbxuOs/frghM03wxXehbbYo6QBr2tfkiIkpo1JDTInQE6kJ5Mu5z+iP42o2WPzFvkugpJnhtDf9eeuAOtMv06NEFPsk4xJfzLHPma/DLvaIjjF0gf9sGcxqYLF6YMkfLI5gk11rTiMjOWIoj68ShiL0fEVqEMxytGUFMzL0dZBvMdT96Gr+GRtPV76dSfOGF+J62Yoaw1GXeexqW0dPehBD35bKuI9aB/k5kAo3sGYiC+Fg3F//HQE6zYh76nBiLw5x/Taom3v4+6W6zHK+xW2HfUBmo9+nT4uq0GlzDBwqxRUjpERCrSkLXgal7yLyvg22vezcsAlGHDQRfRxVu114lMo4s2Fye63RFDx0CYYPXgQrjjnApx5VNdtezoCj3c1/sS/jFkxRe02kyfmuMjT2CZX0EWgKLTvn17oSbHbsaRXko0w9nmzOajZVS4RfZl6tLYkKWDkuE7h1tJerAJL8r1TBxTSRVIqNlhG4VtpPEJC5iDjfuE5lKCVetTuLWg0Uc4gEGMCw2DeCNJjrcAtB3A8+xM8PtJ3zuBvwpPUYodUb9uDFA3i38Jf8LzwEDjjQk/L8ncxiCBoaFMWzbXBzJ8xuvmzdhebDt5woLvQg6wp/6cKm2mwHnIXhBl/BGdzI5HSI9wVaDREQindrSreb21IWskYEYtG8Gc8gz/wr8PCJfdzlTQAPCNipe0iPBG9Bast4/BuYhr8tu7RK5v5MiySh8HnMEuD5dkFnL2f0oxgtHvqChh1/yXOoicSF1Zdg8jocxTBNtL73OsYsNFWcM3pSr2NgSgue2sFbvwgvW1BgybSFgy3n24pSjSgBF7wGYI/k1qymJ7YNC6COUM7wZeJCbg4fgPiTNcshzTqt6nbRa1kE80CElzT7zRsM0mCbWok3sLK8e1bnK8nPQnihuv0p7xjcWP8EuVjI15sevliWo1PgyzT9hcCi0uZ7yKql7ARrkhtWuXeom6H1s9KXydkvn60tifWKICpoig/n4qGlrszJxNZQ5KjNLg+434YX7OnEdd78DMv9XpLu1Ec3ooiSy4Vkdwwrg80GNkfxMFjaHnue2R3oW8DYbcYAlBfOLP4nBFzGh/BIutluJF/k6qfc4aqOrFP2+Dan1oQtkp7PiltW/8O/lIzB6tsF6JX60Jlm1UP7JLzP0T1nBWot/Q1sdIWFitJqUzIdyjjcFBh9+3EHOFajGCqkZcwVO7VCjavqvD3oAc9yI6eCvZvHNu2rsPmzx5BxFqM0X2HIK9tFTxtYVjYMFp8Pl2kh0JdcHGchQZoOlRxF0LlJD2fRJjJxsQRVS0kjBXsY5m59PeHvW7APodcjYRFo4irCphyHAuOW4zPFyxBfl4e5hwyDT+/egWmtn6IYGs93li6C6UuC2YOyagnu8fhCmzBhfznWBHbV6eynxO7hTg7Ulqgst+kq1ClVhcMBBpWYNuQi2hfWUYYKrM0qPHk1gJ22JNU3lz+9DcWL8RhsX8QHzXDd1mpqBPJ0DvJ+k69r81sIDYZySBVgyZ0lE1QipzX+4Vn0dJGfLvb0zDuZoCdYUGqgzNPPY9ansI3jktx4pxrEH1beZ+UQaU5FYl4GAdwirduvZD8zNV1IdqXu7a2TRfW646HbCbYE76M/YiZAjYFnc9qyCne4BbVmisTiNK8Rs/vKj6vz0NpYhR8zS4MVC/7J3/aghNLWzGhr1mzPhxowRn8d5BkBov5GfrYbES+HlyR6+oz9yn4uakFt3uUqlJXQRSYCa2V/E7F9LYPcJ31GayunUm2uMvfoQc7nICvXcfi9cBYLFqVj5HiejR57sGqWj/+Vfs4Buz+CH5bARJFw9Mq+ot3tsGttipkQo0/QSvw2xoUgbiskGX8wF9J79JrRbL4Ns9IRlE7e6bg0FhlYi34a/wkjGc34Q1VD4JYWnUF+yRWooqNwJogtF8lcGoOK9oPRggMqRQrkCJt+KvwFE7kFNstVrBBYBkMYmooaygen0A8Bulzu4UB+DBhw0P8M1SkcYrvM2yoWY3CvmPMXyARrXDVf55RjkV1kx+p3eZMwnxNWptWYQK32uQTTuC2MBrZxAT9/pcyZxEUzboLrczdaW4OGYNnalWZfn2yKdu3JxFXkyGpInc6NJZKdwQIM1lhkUBX3a+6kIyisuz3AklKdNsHXLfbVBM9RMeDWtF1YL8cCR9KmDZcyX9If3aGvk6KKZKig3ot+6OZ2XnRSAhiPAqnuwtibarNIcHw6Er6O6Heb8hazJlXhMKSPGAXMLzYSkd7gtDAs30csT9tI0rk3ddYmdb4Om6xvo+fvOck2Q0WF1plJ8IGe80e9KAHmdETYP/GwQdrcTb/NbZLldgesmE6t5r2sGZS6GY0X8PUwEerqqrBWZixwYY44qpCeaZ+nkKPGw41uKbfZXFit1yIRiYfAyvLceWJR+rPtbqH4bvm7eDatuOc+QdhAz8MbOUzsGz/DpLFg9igvVfF1gIUSb1pkT4/ko0mIPZXhUwAr1j+Qq2spNb7IKkVhrxB07OGKqR6ryEEW9bqgLG/WkORncsaZg0scRsswxTU+SLIp4sgEbKaxCAQOYPnswFj4ivQh90Ogdp0ZMah3FLMDZAbpqKeuydBWAAnxu6kQfYDjhzUvAyL1dGt3yJ/aTWsjKIcTBYt7UGzRSJBnnGRFlWHdCxDZa+jaOWLsVgaAq81S+U1w6Lws9g+JuG5QCSiL77X7m5N9rJ1EFJKBdtiNwfYny5YimDQjwPHjYGbVli7F2B/5TkRX+4+ANcVV2FAtcJwIcHyZW+vTBMjCvuV7tggbFjjnIz9g9/T/4/l5lOWBDR1ca1zpZu0iQvLt+JS6ybEK4jWr/mcWBiJChOGAl7c8+UGXHVAFfJTRB475xtsxTr7ePyaKEcegkiEWlBUUIhQbRxtokAOCrbUe1GZImQgeDdinfVcNDJksW2mympIqMEgabfpaODidthz+smTxErq0Q2pCVJKG2UYPJ44wTQ8ctmv5cId4uMoszRjaYgIginnYUeiCKUpVF9ie95s8EvXgmuCgQ2foYVl8JXlFhpEbwrOAJwOQ+DPYFbsL/jS+gf6WFwVbzJCNgamEX9Wauy4UsHUmlFkTQYf8aghiZeFVqu1PTGZWl7aUWE3Btikypop8cntxQr29a33osiyAzVtdwFIty6NSQxdBIZjmg9C5/FpySU4f9eR+MjzEIbHlMTFt3knoaJlAUZiCyISq8+V98XPwG2C2fIwFgnB5siuGdMR6GsdVZ9BYZtINHhvD2Q2MX2WyjjTGCzDsRUl3DI4m8goSr8X8M9NQW80ofrsVZ0OslfvqKOWWwQWOWIKsDVYVcFgIrpJXnH4iEogA0HmdfEguPpfiJJhB0DKoNnQWTAqc8OoMdPQ61Dss6iSJlM/C0QzJjt70IMeKOihiP/GIamLNDIpF4UVn2O7SnFK7YfW+pTsog+2Z/eH5fnJJkVpTYwoAmXSFNUAO5OVVtPG+Xjuqbvw9dxv6f+ePqPx+YyvsO7QN7FkZyuW17Rh8Y5WvLdiN3xDTwN/6uvAkFm0J46oR1dvWgn39zej7Zv0KuyexOAiZV/6Fqu2YOqCiCioa1W2UWw1JrHr4JACVMGWYGNTdpXMRkOTbYvshiVbdUCDUWjLkd2QpTQvvTrZLCoVbAIxllyI2bLQr48OvUvVc4vbVuLrRGZfV4JxlXvWbsTYM7pSHoil8hDwQuYkAAGTwWO8LLwJ1q0KlT+bz3AqJDWBQmpZ5i9I+oF3FYvyj8JJsTsxv0Tpn09Frwzn62XmaNP/vpCyD4/GT8Q8F/HI7iRSet34FG/lg5degivWn4lwzXJawdaw/nvCcOg84qqcMLGza2aLEZBtGMtuwUimOu21saASYBMRoOWeQ+g+aiBtDQQumxUWJBQxo0x9wp2AbeP7cM27E0LNz+lPclad9fDR6nr89XuzQFBHoQVEMm/BDQcNxH1V6/GL7Spc7P0r7po1DE8Vv4PZ3K/0NW2B9DlCjsdgZ2I0QZkNyQC7nQSSYd61Z3Hl0OYGvXfeAF9ACStDkvlaW269CJusZ4H1da33Nd+mzHdleUnK7L24UP+77Ui1V91w7RXYzNcnR0XgiDq9OrcZxsaA0EqcwM7Vq9MEQT6dYuwPJsNmLqDsCxHgJP3l5tcF8OmaZC93oUXZrg1SbywvPSGrKFt6gJ0+5xILy53eMHa3RXInbAhkKSOdem8KRpWLtRjK1uiU+FTU+pXxXt2sGTF1HnFZOY8hKTlGr20+Bo/ETtDXJkvZMfjUOgvr5PQuZqvU/jzfHlitNU0PsJUxqiXMc2FYsfk+FQwpa4BIQvmMqaHv8LDwDHo3fou/fL0J9361kSaSNdD+aHIcajIn1HJBjCTnEItKu9aKARoiI86Af/o9iFco3tNVbb+kfQ5JBN8qXoSlkTI83DINL3pTxAK6gGSyMXleLXzyOn5vRfstXD3owf8yeirYv3FI6sJEZASM9P1I/9aUOVOz+Yx6I4/JLNzR3VS9lb5SvQlpImnz+MlApA2O6tUQY2GUWxmQF74kH4UD5EUYwNbjeOkr+tq5tERxMO2DPGaUQngM/mMC+jOK922T7MGKspMx/OS7sH61ainG2vUsbXe9cduDm1f2zWm36V6Op3A/YDK7hiqeGtG/0I5/C4eBDdZhhDMHsdhQSe7HNqCaio/lUKtmOTTPmUcXwbLRCzUV6jFZ4ZqOY5suo38/7hqMkKiQQ32hELQl7bCK/Iy1yv5FLloFryrNx9HrLsNK7qLMm7SX1NuJWNvNBw+igbZNyJ6/q8jPTnXWIMXD7b9GVVZNq79oiZRu7Gc8h8AUQUmKYjHdDplFzfpfkb/lHZS7eJTICiXhJ2k0BrV4Ie1aArbXvh33H04JsFM1BCg1VlaSESvY4ZgiK6JSJV3sqRQNlNLH8m7B3xrOMYgRnW16bZVbObYFBcX0GFmZ9O8s8ThwS+hhDLX9gOVttwFQxnWXoC/40m9bjJrMmcauxhXcBwg3E5E/IlHXOVS4WGrzVJ7nRklsK1zRhXol3r78GcwKvJd8cQZqr6SeL0KNz3ZzTahBgKkCmwGMYW5M9f42jjfyaYFIDI6UqSWh+j1r9OmruffQh2lAPhM0sT86C0G1/yNBv7aFMRIoWIBG2QO2cLC6/YZgMuU6/Kn0LHp2JHIs5LjJYnKa72NMtHyHh+On6I+F1WDHtH/GBJwa8Lxqn4MVXh+exqM4gltEH1tWXYc7N21A73wbxlbm6eeNKEcvrWmFokMO+COxTgfYaxd/C37R4wi5BqDX+X9Pf6+xgi0lEGVsaJDzUcq0ptkW7g1wanU2k486gaYr0J37sMaEqBHdukwaEeDTgnqSUHpTnI7P2gbQxx61XIIrCxdDqFMCUk4Kd8taT3c/qAPKC5SLQEs26srbuWBMgpCxLOTTNjK7wIF45wztU06FKgu4KN5bqQSV50/si155ypyzSy5GJdME3t75PnNWTK5BQrINy6Uq1At9TK0jX8THYl1bFSYXFlA/d65lg/7c94mx2GIfi1+DxXTOHlnuwY0frsHgEifOGJ/FvL3TLhrJuWe/vgU4rFLCjt016Gftvn95D3rwe0ZPgP0bh6zRvg3K3hrYlBCMV61EEqpllaaaWuGx0QVhsVsJ34ac9ijtXRr72lCgGth+/BdocThwpKME3ueOpDYQ+vdrPVwGaME1QTHj06lPsrogIgtMrYLZ3Z7RdqH3ZiUXGPfxz0FgMnyvLOF9fha2iSE85cquFypb3PhVGor9WeVGJ2Twu03bjLz2ycFBUaZqs0GDMMuwUjciMk8D7Beko3Arq1aHsqh4apUuomZNlHKbZbcuOpS6r3sDvBTB2dL79HiH2WRVKxWFrmSAfTt7NQ4f2RtSLIj+5WUoWv4YnG0b0D+P73C/t5xC15bVimamyl5HoanLkl7RjM+rgYuGC2I3IGEFuLl3Y0BcCXQ1kB6/h5ruBD4AWo97G/HKjplJyRGFLk9A7PeGZ1GNJZVb+xlvY66/Fb3yXShyd41yeWXTXfiHdTmWNN2Gb5hxEIkgF2MWTSIqzMQOjY2ptFxbHpxSgFKp07af4dC/yAnCGB9YaDPJC3QWG2pbaX/tmsYwtRI0glXFd9xMGDcJb2GTuJksgzv9HaWqD3ivQg+EpU+isPlHnd1j2aH8na2315zw5LMH2HoFO3eAKxoo5MR+L1O6Ki4xIO3XgXBET75pCFiK8af4ebDbbLiY0IWFd8zb39XkkxaMGeZ+rZc5CguiEQmkOcQfBx78ZhNuOWSwfh0S1e0VB76CwYP21T3mEQmh0Ka5awPDSxyk7wCX8h/rnx/OIAgXM0xhxSqDXlID7evjl2GD3BvX8O9jFrcIC9nL8XPjG0BlHkJBMlZBtUZoAKYe2P/DHFyTYXepRofMgMlg1+eW2zCVW4b1scyCdSb6t5yAZ8ol+G7YWdj/q6NQpVLqhb0oGKUlB7I5OugK/90IsM/iv8EF5Yuwzkt6loGl0iD04r00gXFb/Hzk51VSQbvp7EoqXhl0j0HriZ+h6LkxYCMtYHJ4iHcU9unXoy14BpxFw+jyREscdETkUvcKV0HGLWkjy1fPt0MVlhzgnYcbeAnLpEFo9o+kATYZb37ZTvdbEDvvDc0ZBFAXs2Pwx8hpmJZfSANpDfO2NOPjNfV0zt23dz6a/SHd1WK1PAAfRyfi+JFO3D99FJbu8tHiQXHc3XVV+NQkvGHcW9u24pnmOaSKg9ot04AJb3TrO3rQg98zegLs3zi0RRpZtG3ghmBoYiO2sP0xUKpWaHgGWCTlBiBb83SlcIL8SeeiZdK50Lr8yI0jpvbvEbQEwnD0GpUmCkPAqIssMdQK63ung02kL6H7tS1E/lMDcYBaQSeiUcRfkm7DXvbBbmgL0OC0KSypxHcivsXpi8SdQhUq3AJ4NSus9YlmEBvXUV5Sinv73o/9axRKrKAqqHcXG5uiNHNNVG4JLpvaH/kOAWHYEZCjWCoN1BeDTLYAWdtwUi0nVN3o47TH7GHhn3ShqYGIAaWKEu0JMLEgXL/8hf4dHpu5ek43z1WOmr4n4J2twFz3Qbj6AIX+RiBsfIkKtdiZeLsuqSUOZfzZrVZTn6XfVYX3E1MREEZkMEXrGGbXP4kbrd9gVTMRebkx7Xl/jIFG+A/LFiqat1WuhCiZ+2VfEA/H0dx8/X/WtxPoQIAd9LfgwF1P07/fGP40Dp6ZrlWgBdgkedU73w6Qn27AJoVoGwfPyGBZEvSYL4RTXlyMmtYIvrl8MsqiSvAvW904PfI6hvPf4pPERBzFKVVfAvJ+bY7IOmY7CC3gjErpSb2qskJTX2KvyMZOW6IRBCfejPDoc5EoHIrm9T8ke+YZBltaIqYEh6ZpYYRWMdMX+BlQbR2O5mAMMSH3FRgKGwKvDIlMgql4AW0RCW850qtVIS4PryQORV+LnQbYqfjHD5tw5QmDOt1HGRdFOpcG4zI0cu0tvLLQ/ikxGlMc+fR6eEA8A++sqMWNMweh2ReiPszBBIfew/bXP0v3qTdU062qIj1JlmjIayEJK7MtYVgoxgqpCmPZrSi2K2wsjYFBtDGWSEMQlQXKrChjWmFzKm0xm2qbQbwypnFrwEsSauVCfJKYhA+5GRkD7FUz/o35ERGHDk1v7+GsSsXUKmVm28zvcxnsm+/GYHYX8m0cyoscGFzmgtj/Uyz7+C/oJQSRV2Q0nduzoImHENCnKHPCrZUtwC6xKC1Z2BmMTKyHrfVrtLiOwGNtJ6BOLsCL7B9pn/5R0XtR7N4PlXIU5YzSUmKxKHP1Fs9kSLYAEGFMHt1dgVhKBPCSInjfYiK4RAR9smiVGFHXGjDJfTb5QibbR037JC/egKv4D+jfP28rA3qfTtcLRL+FoLW1hVoVdga8IcAeXW4HtirVfyPKErsxid0AZ4ismfpge7NfF+4kLWrnJt7FGRu/QyD/BuRbxuJ1y33YGSUj3Owi01n0dvN07PQuNFBjDElFixTpNvOgBz34PaMnwP6dVLAJ5dp+6sv4edU3SDjL0fTzfWjmK5EMW4CqA86Bv3ky+hXsA+x+JruCpyyZ6J6xkA/sjrmwNq1GiWzu25PVgC6akFHRpqg5pyKU4CAY+swkloegfmdqlX1PY2eLn1a7dvgSGGwUB1LvDOX5LtR6/fQGu7XJj15SDBwTgiANzUmDvv3YiVi28X1wvBUVuaLxTkATLTqIW4G3mLvgjV1Juscxx/4UtnvDSrVWvWKrvRFkIoA1BhP08dbGGqyz/ZmKf1VFX0VQT58oaAlG9kqAHYurjAoSEOSgQbc5+uOrvn/AZ95azBpiXriGx5yH6OBjIBZ3oI9MTiiWMCl9a80lk/HneCEm2QpwRBf3ZVyRhIJWL9iSzNWf5U0JWOVC/CKNxGviTLxrvUvp61fprtrifja3kC7wNTAdpITuXp0M8GbOmJ3xNXoFW1QSW/X+KBXGK3JalIC7kzAKOl0YfCbN5/viwFMoE7zYsPEuRFqaQNJuu0Ic+vVyAzsVarSGDxNTEG4bhOOcqtp6NwPspJBR+m3L4UixL5PCXQqwt/FViDv7o9xqRV0grh9/MsbCKWSIjOdRrYalChUZ8U3hGfi8/hBc50mtw5uhUbhJKw8RZ8wE0q9JtLozzaIx3aIp83VY3eTD43O34e7ZnaPSiyTAZoidkKQH2AKjHJwfpLE4xJWPZQe8hKXfbNe3Q0sakn5dE1TatelYZki66vZxKfun1/XV4/6Y/3oMsG7DD/s8hpqCkzHji960h54gL0raNfqSxlf9M5ZIg3GaeDv928lmFn2bPSJ72CSotGC7nHm0nTjrSDDhyWiO+VFh9ehd5SW9+oM/5f8gdtNWrj0QhXYCh92RcYzc774DK3b78GDRCKTo9XUc6vlyVo7Go83jUJlnw1VRhX1ARqdN4DC76WlMVRkUsloRvSR4EbY2h/BkorTbATbRfAnFExhR5qZJ6SWj76ZMm/MKKtt970axDH4pghGsMl65UB1O5laClUlCZhJ2BySk+h9UcMp8LsYjmMASe0mgqXFXpwPspcK+GB9Reqqr8i349orJuk6MhoNa38OfLO/jpyaS6J2is0FI+11r1XHYf7syvqMJYnCizPmWlEJIV1BoZ3VtGO2KaY0mkyHbQtY97gvegx78ntATYP/GUaAWH5wOO9z5JXBPPx3+iIiNJe/AZVD5JqBq3YMAqS3pRy2JInyihKZgDC4rh3KPDaF3L0S/eqXHmiAx90EUqaJFWzyTUBTchPxEsyko5HNUceOszaReS2ijjFbBzqB+uyexsOgE3FU9DDOL++sBNlU21l7AcoipVY9YPIFHoneh0lqPRW1E6TT37bL3EGP6ovsIuAbQaud5/JeUfv6T6j+pCYsQ6pcGr1CaMcDe7Y/Tx4mH81CD2EvMoHy+NynirYEQ1VmNEeXYHKhuCeGZb5bgUNc2XNpnP8QNt+pvmMmoDocwMVpA9yEXEkXD0HT5jrT98dh49C2wo9iVoze+HdhZbXFqR6b61BbneKwVj0AYVpzLf0kfsyGKd9nDYIvV40t+JlZHinAZ/xG1f9EQibTfW57ueZ35KhFVyxY5HoX0/EEYFd5Eg95vCueg9+kPoLPwCDJpaIfbbsN+xSHSqGrCQexy9GEbsdEVwmfBw3BptBIH2itwG6vY9xkr3tfGL8cUTzEG1j1CE31Ld7Zg+D7oNmUxUy+sbCtAvHQshIYVptaBzuLPn6/H6lo/Hjl2BCoNVWOrwEM0BIGviAdjV/5xaeNTE0zqU+RRddTTcfCQElQVOTCuTzZzJwUxxopXxYNpJc2oTG+EVmXLaBPtr8UUdjXcTOZezAv5z7DIR6pTnQuwtdYio1ChlljR/LqrRk1D3jdrcSC7ArHIvrqaszEBQ1AbkOh8tbnOi/7qdFvfFk6z1nNz6a0epF1BI+KHoxH6yYU2QAgl0K/AibI++Sg0tMdwEcWEq1kg1T3o44RoloxnN8JCg/+pnToWVqfSh+qWA1kTOrK9EP6mncj/eg4KwtvQmL8P6kYcD+t+2Rk+ewo6/TkDvZ0+rI+frt+Fo9EITbT0L/bgX6eOxcBiJxLPc3TKOoRbgjg/UEm4qqgPkXmSWMspj4Xj3b8X/fjVmwi2NcJxxHHYZ/hIXH1g7uSVEfdarse2QAjX8u/AgSj6xPxU1Gy3RFLQ11KbsdQAu5xpow0xmsgsARtXxNE6g4/4WXgmMgL3HlSMadJi9H9zGqJVRyA4nai+K5A1xw01sNYCbNJ+RwTWBrGKzsfmHbtgG68G2IilaKN3HtFBR1Imj1g8IqOveNyyd73Ne9CD3zp6AuzfOMomnIzmUTNpv5B2m3LbeIzPsXjjDErEpEqy4ZdPIax5HTuL9kX5mXdgd4g1ZSY1RWCC3bbBqEch9SalUG+cufqQY5wdmohpS95olFcOQ5t60yCLtb1Zww4wbmyVe2GSrcTUt6hvLUOohRZKaZQZRl88ZqsY7U205o3EXeI5NJM+kV2v28JY1QD7Kv59/bW1hVMwOsNn0GquQdyGeIFW25Iq2KTS+nziCMwoGtIFCSh0QtU799TCMRJVbn9A/Dvi80ah9dSkevhna+vx7cYmWvkYWpZDFI6IDNX5cdOHa9CnwI6nT0k64E4bUIhp/dyZPVo7vjM5BaZK0YKzhdcQlK1wMgpDo1AQ8QpzDHaLUfRy2vC89Ed6LjWEZCsN4JSGi9xIGCzGeO9mJDJQSSWVYksUqZ2hGr1f2qEmZzqLchcHkk3oT7xXm9KvARJcE1jjfvjlCtTIpYjaSvXA6QRunv5aC0QqdKcF3XIH+iE7UsHO1Atb7xqB/yt9HPc0mK3EOouJ4Z8wgvPCHS/VryWCIaVurN6ZZOH8LI2Cg0+37JGseYj1mohEfvYF/oGDiugPb1DkzYQo78Ft4gVwWrisAfYt8vNwCF7w/nuBEvMVnVc/H69Z7sfyKOnFPAYtp3wJy84fEPv1XyhMNNFzNdBHwoSkknZH8IA0B5wUx0m25D1mhDNAx83heTV64P+y5X5YmATWBY6CzzUI+0aeRqnLgpcNn/UpfygSYS9GWJLzc3MgPcAekMem9e/bG5fr19bmujYMHU4UzjlKay3Nc8BvF5BvCLBl9Xpe75qEJ8VjqHDfoEIrihp89DgRxokvgwhf5JNrYYl5IR9wO7jiQeZtcCv1PCcTgU+Mm7zJCaybPgYSEezyAQPC2+hjJa3LsWDzUJSOiODdBRtgYUScccA47A20cMXU5imQ4FM4TAo0coPWu94VbG7w0W7ftQ0h7DNOCbqC6nxAEoshRwmWtCbn0MawRBljZFwTN49QpPsq4qdF38Ioy3osaSOh8EhF9I4kXSm7KbegpKjOS38TT6K/H2AVxk2C4aiAIKPqOxjBqMkao4jaVseYNI2M9lDkFLAKBbjk+wSeHxTBzMAusBGFSq9Bq/hrLA+jEv3kPk7KHKLbGwuBVyvYVrn7AfbK/CMQcIiocjmgyZmV9EnOMVSgsAc96EFW9Nh0/dZhcULy9IXkSmbls+GZd9/HP977HG0REZulXlgv9YGYSMAd2YXDucXoH1OoThIJiLOBZMQN9EebRZlkCc2cUBkzIaF+XiMKkJjzORwH/QGMpxJ32f6AJz3pva17EtrNk4isaIioVkQEW71RXOt6BMOjL6KhaBLs6q45bV2vfHYVWjUqz6L8HtFLua2dE3kVLwkP6KJqBKFoZgrYT3nH4qrYldhdlLkS0wI3Nsu94edyV8+6Ck1FOZ6DIkvg9m3BExZFdTe1z7dSqsUkdi1swfZthCJiAg2BGO1pNYJYOZU8XYWCd49BV9HYplQk6oOZU0Al6mWiBdfagjWmji+ygNyX2aQ/95p4EEZEX8CiEmUh1x4S0WRNbP13z2V8TdGY2agZdDaqho03CQZ2VdxNW8TJnJAmYGgMkC3RRkrBJLDyHJbVJjUbXhQPw5FRxX7PxjG6/V82n+GO4nn7+VTdt6WY+C+bQWjQLy/umu2UEWdFX8dDwr+QH95hCrDjvacqi3UVdx89FjfNNAdbBGL5eLQd/y4CBz2c9Tuc8+9D8VMDYPs5t0Wh1k9snLtSQVwdjuYWgI2aF+UEQzzK8a4oVUrDiZKRCO97BRaRAEQFsUzsLF4WD8HziVlgrMm+Xk9YWeUfE06qrJPEJf3eWIRWMFvggS9l3nnPfiIeEk+Dz56k8mbs1TfQujXk88ltr/WMTRG15GiC7gXhIf01RGSPgIzbuBoAHuT7AG9Z71bekqWjlK3+AWW13yLgU4IqIxwG3+OQL/0cBL/+MzzfXod9Fl2X8qEcos3bcNPqWbhw5cnYWzjQfy9G+x5Fs2DUpU7iTssrmFd4L8bFOm8xlSaGZWCWlBckq5sy7zBpCEhqv/c1wUex2XoW+m1/G92FllBm1ARH/kv7o+SpfkD9ynbfq11nGvKtynXutClp+JbCfXF57Gps55Jlh6jKQnIYbnPbhM730v/1kCLcPLWEJhpW1ijjZ6cvnjnAVoN5Y4DduzEpvBh39YLFqrCeCCujuwnNR3/cgkvfWonFO5NCmxarHT+VzOm2Q0cPevC/gJ4A+zcOTdXXmIEO7V4L5z9Hg38+GWSRyfam2mtxV+1FEGKtWHTYp1h5xMew2N06vVZbUEpCqh5tEvs3vgO3dyV8sgNr8mdi4H5J399Yhqpli2cEPGUD9ayqhvLiYlx+wZW45KwLsDcxpHUeruffwsBQUtVZC+i2SWVYww7X6eLkCLotynNlnuzHYG9BQBwl8KJQajIxDYZjCw7kzAsFow+nEdX2UfhYmgKvNTMtlFQUyM1cs1bZ00hoonsZVO2N0ETuCKq95kX+Eb438YblXgxuTFa1s8Hu3YCnhUdxZdzs+6wJ02RamHcUTX4laNwdzLxQqWxJ9yMl11Jxoh5laMFR0g8mtXpOpXmTa7YjIKrqGiKhzD61rglnwXr4/bBVTdN93bunEJ3sc97aYqjYJkbq55ag3hvA0Jbv8Af+NQyNLDP1RS+VhuAQdgk22M7FGd7HUWMbis8T+6HZapQS6jzWM1VU3VdypLdueGwCbu6vVAh1ZFHazwVepdqw9NpTxvDcsnOoF602P64pPQa2cC1su35Ke/+Sna247v3VePrndN9wDaRXlFB3g+HcrQLxeAz58MPDZg+CNfcIOYMdkUtWxo8nj2h6J/GALRnslTnSlwC+llqEdy7PePzIvKNNHRq9OBtktfJHfMG1+Sa1HVzrD9f81wk+cJ5Mk4RGMBmu43J124nQWZtFTSKox4GwlAiq+aTEoZWV9OMqyaweVPdm1PmWyXxdEpFIug0pHvQEvGBBlLUjzlggJNJVpFNFQTUQoU+LRbnHZPOo3hPQ5ppsSZoh3G70Dq1Fb0vnFbDTmSXJOYB1JLuqZcGhJ4uNNnWEoUWFVlWxxO5AE0vVtqEpqBzTHS3t79czsT/gB8t1mMisQ2+mEYVq4sZjV+4hcVdvfCZNwoJYcixtrPOmtaKcvfJ0xKIda//RUPDmEbh8yaH4u/APHCop80ljKGXu1rzu1eP8ZuEVyf2OerFw8vOYV3gSBh5+HdyqewQ9rinq6J1FYawO/ZlaKmZmhKRajXbHoaMHPfhfQA9F/DeOn777AN61X4GrnIDjTlJskdoicfQTvYgaKKaxWITS9QhsrgIcUmHwMNQrBiqV00D9oVVncLTXh8DKiBjNVOOrw+aiT6/ekJzJRYfitxrF3Glv4Jt1dVQt9JITjoa8ewuw9VnaF/T26jraozWyvGs2Qp3FkMACTOE/xtxQkU6FvJO5ApFoFPOlkRhZ0QtMRKUCy7IemBirV/8plLX8ikW2K3QBNu08DC4vBFJihyHe7wCkN7RqCqS5bFeu5d+Fy09IfVpX+p6DblMEPmeIbQywUxWXk8rC7QdIfKSZ+t1uTZjlVnYHZEpra/V3vi9OA6eKlWXq+SWwRRUdAiMII+Rd3ACnLYKVcTPt81T+B/BMAisTuSuXGmRDgF0Z3tD+9hor2F0MsH/wVaBIZhD38ZBjStBzb/xMPJs4Et/Hkgs2XyiMQYG1mMx/hrmRShOrJQqBBlUEEmfDLwXH4b2dE3Fxfj9MR9dR5rYiEBWpVkQmjI4nk1CbDn4JbpltJ82TDl6zNRKsWJM3A1805mHljiqMnbsN/qJrcHnLqTij9kdc13AbIkOOR7yPmZJORObmbW3JmURZ1xilx2Hj7hZdhT4TrK2bsNx2CRolMpIzC0gWumxAAOjtSR+jTEyhuspWj3kfDcGWg0vAGL63Nu1CvzemUtqyZCtEZPgpCI2/Wv8M0qu7P7OOajuwcm4NCofDCfi9KLRK2NWyDffwzyOSIIFwUkW8CK3oxzQCUZJ8URIBq4XRWCz1waPyk7TFhWBZdT2GGb2LDIrGJLGrVSGb/WGqAbGjLYa+vQHmhJeBt1XFfjUgOHL3Y5gifJS2vSxJgJHEpYFSTO4JvBpgc1m8pH0XryZy4hkp2CRpmhEsC96qvIMk4cQM9PLugmy7lrjgucz3M52l0g1NDl0bwbBukOzJAHujN4GhecnndtqGUeHRhEUZU+weCbDNSRD9ntKBebCSNL2xPrxkeQA2Jo4tjWeYWoOsPJMWTLNa8Gq4z5JkTWv9dpT27XjzFaNaHRIWSvJB87J8aEUhUAsML7bSkUg0PzS0sXmo2vcwgPwQGBJRbCKaTDR3ATcGHsRQ60bMb32MqpdrqHePxlPi0RDs44ikTw960IMs6Klg/8ZR4V+JS/lPMDKyWH+MVQMCbbFIsO1nItqleH/aVbsSHXoFW11YGIIfJVBKv0kNKc9HsSG4JmiFB42yBy6HE1eddhINrunHWV1YIA2nN6/ZPxyG+E+PAGIY1o0fwLrhXfwnRF6MSYP57AR8Je2HAByUln1x5Dm8IDyIPO9KyCnV/P8kSj3mJVpdQA32M/SABS2ZNcD7xDZhFrsQclOy7zcVxBt2eCBD9XUPwGfvh9Nif8JdQgolMkeAnXqsJbX3PJPPcDZ1YaKmnEn8izOo13cWdWw51kl9IVoy0+nrxPT+cFJJ1DRXtX44I07kfsK4xmQvfS7YJ5yn/y2oXvKpIEHau/OW4JeVa3TbPRNts5O4jb0Wx0fvQqhguO4QoFXGRTFqWmDqlny8DU3OpAzQ2ZbvdA9jmbdDi+e6I6RE8PfhG/HZ5C3YpyBz0BITlHltuTQQh3/KocbX+Qq2FhDxvBU73ePwVmIGquVyBAI+2NxFaEQ+WiXletzZnM4q6Fv7OZZYL8FVvkeyfoesje921OSLVBVfmzV7u4ogKM/lbf2QCokZE2uNTQ30d1PCPH+YbIBSklgtNetocE1APIody56Gc8EDphaQt6z34B3r3bAk0mW9olzymtDmLVJ9dkTqqV/yoYlkjz7BjYFH8KP1epTVJ9kA2ji5Ln65/tg2a3p3qxhTxt9+7Ea4AgpjQLtXaZXM/NI+2J2vJAJqW5WEVS/NRDgTUq4bUnnXAivtvpoGzoptzSGa/EmFYLgHG0Gs67QKtrIvnat8dgSJeASfWG7FB5bb06qQGmLq7kZUlfeu4D737RgTeQa7y2fqj62xJ5MoQcmiB6tvijPwc5HSIqMlbTg1EdQd6OdITc5qompSov15UFsnacw9F6fMAZpQpyPhw5HsAsqUeDh+CtZJfbBdUKrZfoPo1wC2Hi4iEtlBxGORjPe41NYcp01lgnDKPHzKuEo8UXAr5nKTkHdgyn2WsyIw+Y/wT7+btvnsGR9s8721Nn88HhRPxyJHd9KlPejB7x89AfZvHVoAafCxZHk+LePK7/6V/l7hOoD2S7MvHwHLC1MRadkBRqUb64GOVkEkATwaKW05FR9//iGefuavWLwqWTX67sCP8PLEL7Gd64vq5hClSxLBKi9caDv+bXxoOw4VTAv12vX7WuH5+kp4vrmm271CuTCoUNmXgaXJIMnIliOWGKOlDdQayy16EYgoN7zdbd23uegsit3JlV9AtsEnqueDS89CW9RznIopbZ/iKctjGBZYiE8TyUVOKsZU5BYP6yqinAMLpBFYy+c2fTFWg9KSGbqoS/sUNE1kJpWSzlts3bYr+YfjSsyKPYDG0swLif5H3IBFjgNNjxnt7Ui/mgayONNQEt7aoe/vX+yEqFJZ652Zj6e4/GVcuuJYVC660/S4sU+vM9AqgQLLIMx6qKdtP6YO+zIbIUWTFXVZioNTF4cyZ8OuwknYICltCVOhKHkT5Ls9SaXrbggpETgXPAj39zeB86uqPimIC0rfZ51cSCtY/gwBT3vQAiJWsOCUcb1wf9mPWGG7GCc1P4HrDxqIp13P4S7hJb2KnwpODKKI8cMu5wiY1PlVr4JlQb562Tus2atQ2gKd3/I5uKfGoOil/cEE1cC6WRGkqw6YF9r3he7MqmifCKdXEwM1yeo5a6h0EvEsDc/hOPp7ruNQ/TFJTXLFo2EMKlKux0qjpy4VklK2TZZiaApE8dS8bajwLsIR7K+6vzDxqX5wa3p7wdpdSTeMPi1K4L6UGY6fEqMgWZIMKY1y26D6G5c7lHH4aPxEzHOZTfxSmT/keiBifXTfs1QD4+Egfl74Ex5/TxX+NID0wmaCzHIQrMnER6yDzgKdDbBHstuxD7sFfJb7xcYm5XvX13W9ikxEHn1wmY7P18IMzE8ocxYjOLFR7oN3E9OxRB4MQU3cVVUqIoEj8qU93oMtq41fWsI8F9xqUGy1KWMzElbmuZ3qGiAvvJPqhVzIfYYnEsdhVuxBvGlXqtyBSMykPaN9VkcQDmQ+5qmimvFeExGYfCuig4+l/+/f/B7O77UTo4+9BQ5XSvKXYfBP8Wg86jsIrfHuEVQ1C1VjMpyAOCDMHlGKfSp7VMR70INc6Amwf+PQKrSSIVtJvJlTA2wuodxII8WK9rTQthV5oe3w+vyQ9aw9o3sUe+X0AOwxnK7/fVXj7bg9/ihcTcv0x44eVY4JQjX6f3oi9ntjCI74aBRmfnsE/Mvewr6981FkV29E5AZiuIlIezHAdquHJd+ZDHYOkBfjDcs9VF37au996FeoZK6HlDjxhnwYnhNnIWEzUOj/U1Atz6qZSoyKPo9gicKJ3NCSvhAfWJr55jawVFlYlpX1xhXxa7N+FW+odu5JEA/Uqw8YgDMnZO4B1+Cy29L6SFMp4h3xiyaBXqYKtqCKvdjIAreLgZ0ebGbxESZMkP7nvZr1/aUGoZ/vpSSdf2rrB9jwRu4Kv4Z1R35Ke4DLj81sucXalQWWTWyjwoUEbXwJPMW5j382iFrPJsfgo7LLsVHqjTP47/Ge9U64VCErgnnFZ2BEsXLMR/QupkF0HpPe71hVXoTTW5/BVtuZOKbleXQLarVVzpBwImDUY0FaBq7gPoDUnBSY6yjsrLJQJyycXkwL9pW04JKljJsjxG+T35chAaT1QqeOR9NrVBqrbqGUDWqwl03FnmDlqNvobyHShGK0gQvVY97P32DmP+ZjTdBtOi76Phr0uMMpgd1W13icG7s5ZXuT16pG2SbgjEGbym7Y2pZ8fkubsv0bdzclj1VKdc6mVufcvISbP1qH5xfuwEXxl/G05W/UOkvTzAjGEmgNpYg/GRgV2uffxlyDs+J/RNyT7Jd9pOhe9I+8hk2ls5TXap7xKEB1q/kzY3ExbQ7Qq6NZKNy7tyzFddsuwA0td5nfK8ZNrBINCZmhyQdy/GJqcBbfKxXsWBrTIVu11BrzgvXVdGue1BJpBAV2AdWy0hfPWJ2Yi/G4KX4JZYSQucWoDeBuXNztJHuBunt56n1ep4h3pE9Yc4sQlPd6XUNxWewavOY4i/7fu8ijt1No0FpAQs6+GBx9GXVqe0O717QBkWC608NGqRIBwayZsIYZhCdiR+OTiLJ2s2z/HvY1r4D3bsn4uf9etBPPL9yJllBsj9DuU5kbk3tZcM8UG04Z3BM+9KAHudBzhfzGwSTSfS6J8IrW26X5j3IqnZNRbyKiTqGKo8KtvL7UrSx2hk09GT8Ov0f/vBa2iFq8HHnS5enfn2JnxYUaMI7dbLL1sajBvVZVIwtGluNMVmF7C0lV5OQC4/rE89Qiij6v7IT6jIzHpNNwj3gWZEeu7si9g2iCMS3StV5Jv6gsZAldWQOfof+XwK0Ks7hUJfKs2EsKoL3QiIus3+BUZzLxkgk2WzLh8ZUjKZRHMKhcCQiGqFWvnJ/DqT2GKYtfjZ5NFrhkobs3BIJMPu9E4EoanPFxuh0pCsXTmttXzm1b8ALyVzyJviOmwpWXeTzyavAkSFHUnvItfjhxHcIXLUXBMX9FV/CxfBV+sV4JR2gXpRLb1F5qAktcoUSTig1R4udV+r3V5oSVY3Fn/Bz6v2jwRyUU8SGlLtrfOkT1iO4qQmGlAtkQyrwYH5CXDPhuEt6CtTlpL9hZkTOP0wHrxvcwwK+23jAMhF0/m16bkYavLdZTAkkjtF7V9irYQZVNk8tTXswfiBfEw7FWSmoQrNu+i1bvH48fh5jMo6A/0VtIwhiw3w7znN4mWrBBMleLa0KGfTHus2EfaSKLjA1VOZzgS8cxuCt+FhrtVcn3qUlEDQOIHRxV+LbggIZ/o9p2Jq24EhzLzqe/iQjZw/zTiPrrYdnyKVw/3oZY42Y0iA6TvRzpOdZo2g5L8nsIY4tAE1qLRpRxFJEtunJ4m+zAPfE51JrJdHyJ17aaVDDaWxqhCOIlx04qhT0Vz078GvmH3aRsi6a03klxrI4gEY/q1ytvuN8aobGHJu54GkUvT4Lkr+/09/zZ9SHeLH8NA7FLf6wyz04tJ4lTib2wkgbft/Gv0vN7PfsmfY2k2ryRVoTSp/pi/Rs3oKsQD30IvkP/AUfJAFOAnUuLRHmBrAfFEbW3+ftdEj6XJmKNTdHQ0JS5i+UWXM59iGHMDsTVsaSPKUn19O6E5VgsbKbGL5SG4bDYw/il7EzT4+vr/Xjq52p8vk5hpvhV5kyrqpGRilHcDqqTIGZgo3QGertFSgXbuvkjFL0yDa4f/titz+9BD37v+E2InC1ZsgSffvopWlpaMGDAAMyZMwdFRcksX3V1NV599VXU19dj1KhROPvss/XM+O8dmXqMOSFZ4YnHorDaHHBzysLDZldoyAn11JMe1oKDbkDjjGvhUSvY+Q4BlcQPV0U9W4rikpEQazNQWw0LpvgXN2Pqltcyvsb27ARMjdap//PgDFlRo5fknoY3EAIxKGmJyNCWYwVOGzHqpLAKAjG1VP6Rk2rshDr+nwbpGSU5f15d9PFq8kJLDsyVRmM4u0PZvmwCYLpoDbk5yqiKvIIitOEB4VkczCWD3pqWAPYGwYtvXgf3T7cjXjYOsYGzs76O0Iq3lhyKZXVhrLCbxZI8DuVMuQUJmbWzkxhWpIz1fsVuGJcTgs2BrxPjqeDW6HhMTzp1BvcH70CRpR51bY8COeS5fokPRiXThPGsuWIac/XRe4JP5X4wPdcg5+vq9dnQtPEnTPJ/hblMHwwfkflY8k6FaeGUAhhW1n3hQOLtTbQSWjkOHCtDMLBgAnEJT8TPBjHeihAlbI0iztuor/Oi7Ufg+2gAw7EV5XXf6SJnnJaE64aQkh6QMklacSrK883NtVKkk72dsgzfrOeoeBbxs64PStB5PAyDDY1hk6ygpp5s/lJtPs5+aw3bKzAvMRINfH+kG44lsbWhFYSHUB8Uk9uRAqGwHw1k9mE24wPrHfSxSfFfsJApwjmzD8XuiiUoS1ERH1hRCmwHbo5fhC8SIyF8sQHXzRgIt41HMCaiGR6cHL0DJ3A/UX/nGsdMXeLIWOEl9mvaGC7Jd1OxtcH9ksH5YtdMzGtowZ8sldjWuJ0eu10+olGQyYIonmbXp3muE5zMz8WqsBd5X1xC/29eNQ9/id6ICH8w5vDfotLNozEmIk57blkUOAz3QzVBpgVDNU1eEPLyHcK/UcgEqCPG38Xj8VxiNuakMA+I1dff9v8ZkhjDHINwlxFEEI+eC4gmtZIEy+MB9204sPV9TOaSyZ7DhhRgQK88eL1BBAYeg5AUR2H+np+NHWrPLqFNM1nuZ1HGgVbZiXyVfdLaXItCd7pKfy5MCM8D37oBrZaz9BTD/v3ycesRo7FDfhr7DBkNbvkueNSbrt1mJVbllPq82r4flvnzaH/+9OY30YiuJQZj/Q8x/b+KH4WtkSJY+Nx2lMbk644AQ8dFb98ylGAoYqInLTl/s/AmbsabWEf9tr/Tx1RcXU/tbPahKtXEPQviIXMAXOEgHo9mJoA2t49mtqI0Su6Go6iWAEm3bvfGkckY7AHpr+hjrcWi5sFAb4XV1BXkkyR9FChypcyrKuNMEzTtQQ968ButYL/77ru48MILaUB96KGHYvPmzTjyyCNpME2wZcsWnHTSSZRmfNBBB+GLL77A+eefv1dpx//1ATZvxSqpP5ZKgyCqSuIls+9E2+znMXCcojYpapMkucGQIJncRAxBb9Xw/bG7TBEtIZUqrnUrite/lP79hgVJ2/bMVUsiOCPRmwP06o6xr0ezVtkbqFOFbXa0JW8GAp9MCgwpz8MOrxJgb24MoExuRDmauywS1R1oatVkYfmi8CDsEWWMz+t9CfpHXsVfxGRmOyhmzl43BtUKWu1yWi2YZ72aKsG3pizRW4JdF//KhZAq+hJRM/rZQIKyD6vuwWOuGzCub4npuXjlJCrUEh1krmxn/qDMQiyk//mi+A24Mn61XiXqLEY5WlHF1qGfoTKaCWfHb8UxsXtNj5Gq0dJa5ViQilwpY6YDdsSaR2OdgM/uS08cAQhK5GYseP//aAVvY0MA87e14JX338a6L59EZ6DRYUmP/PTW901sFPLZRPBrFLsN45vep+0lBA1hBnl2AfccNQqjTrwTW0PJ7V3s8xiSPt2bk7VeWN6QQDQiOvAoRPsfmpFC3BGQrduUNxXbSw+BxFlR4zcHk8G43OEKdi6KeF3pAZgTvw1vOc2VqlTI2mfl0EJ3W5XvWS4PwqviwfTvg+RfabA9xBmCMyW4JkgQX2LCckEEl3IfYdbGW/HKe2/AHxFR2fgDruLfp2r3t4oX4er4VVjjSSqlh6KGCp1BO2HEqQ9h0bR/Y+zsq/XHrLzyPLGR1LQtUo8hve/QnYzhD8IbuY9HOHkNjWG2YIntMngYVWhNEhFs3IZN1rPxk/Va2IXkMTs08AFeFu7HUT8difVv/5GyPQhIcN0iuzA5+jieSxypHJsUIT4SYJ+5Xz+cNXlwGltLAxHEIxBU1wENTpsdF5x9GQZf/CZaTvsa3tIpqK86GW5H8vrgZ/0V7JF/B5/X9UAoGzTXkGy94wQvl9yAfaL/Qr2sMmHYLrTTaEwMQ7KdBPRHjizDuFFj6XEb1fAhTZIor1PPOW/H42X3452EMr5q5K6zxhbvaMWymjaddbRq5B/x0dBHYKkc026AvUmqpJadUUYpypDtXGS7HIMiSntIWEq/lkstSoJb8G3DP4X/wyB2N/1f7oQ1YBvjwWviQdjEKTamZU4Wn1w8EXPGm9t7+ngX4GPrn3Ce7wlzYi9LXz2xjNN68LsDh9pPXuAy339W1inX3Mb67qu/96AHv2f81wfYf//733HllVfiiiuuoIH1Y489hpKSEjz//PP681OnTsXtt9+O448/nj6+bt06fPttslfu94xCm7n3iMBic2DzkR9i99Hvw2pXAiuxdCxiAw6D5O5lqmCTzHxbOI6a1rDe49a6+A1KFytRlV0HS1vR8PKZKF77HP1/pydZd2EM1DMxS2WJWJLEjEEOJ/zHKtj/dF6GI6P3ob7UYKdjpCmyPCJqsBqOifiWvwYLbFfBEk0K6PynkLAV4i1REc2awa3QFY0tlP7MYDK7Rn9thM1c0yL2NAS+YNgk9rJF7c/VQLywc0FrLegsNjcoN93q1vYXGm/9uAh9237F8RVmEb1N/FD8mz0O34pj2/2M6NAT0XjpFrTNetb0OGEg9PJY0SvP1mXPb4tKDXXYcgfoboTSKtSkPWNJ/izsF3kC98TTAymtYpQLrNaDnmOB7C6upDRgovw8ofZVDHi2P4rfPAT8xxeib9tCTNn0AFWr7QhIUlKjwxIBq5ll5vdt3lWPgcxunMjNw5F51bhSugmHRx/ATvtI0+sSViXoJ9TlQMl4rNitBOIratLFEjsKMh41T3HekuV4cAJ8R76ABe7DOqxCb0RbMIS7XnwLx/xroTJmDElLi8CbKNF/F4/DSw6FEm/EeFWiekyf9MBWw6BiJ86f1BezRuSuFAb4YryXmIZl1ux1bqeFp73XVcxurJb744tEkg2SX2hOXGkQeWUbz+c/p0HtbO5XMA2rcMITX0Le8i2u4j/ARLWFhu67GigTyKoqM+kjNgachCXVf+xMU192hdyA8cwGWIK7dKqupu6sYWW9Mk8t254+32pJYA0FUvr4aZKVym80GoVDbKPjN7U9piq2AdO51TRxWVX/KVrE5HklQfY7lrsoA4AK+XXBO53TWrLUBFAqZFsBvMveRyLig61uMeT3LkDT4vew16HNHwbR0lRo1dKYLGRMEnToa1QquqgGdhlhSIDuDiZM/vUxCKYEWqe/X5bx8bvP4N23/4VgULFlvGRqf9x++FBqCZoLccaKQ2MP46DYo1jhnEqZRRpOiinnKCqnB7L5FpXpFvHicE5pI/kwMQUhPjPLIRPqLP3xR/Ei3FdwP7wnvA/k9cGwj2ehZItCodehtiCI8Sg+nPsLCsX6NN/x1H2ixyXevbaDyPDTERpzPqSUdjnte/9/FCF60IPfEv6rKeKk+nrnnXdizJhkFpJlWQwaNAjbt2+nPVc///wzbrtNEXohyM/Px4QJE/DDDz/QivfvHSWz70JL5Dr0thcTF089uJhWlX2BR0B7zYjtpyRi+XevUBXaSO8DcPAJV1JKIukmFWUGgrpWGcYqAkdEHbqpeCb6+BbrdiPJz8x8gyVVbmOATfyzyXnUsDepRjtRhjWyAzDQ+wJRCfmGHjQtCFXqVOqNM6VX8D+BhKsSN4uXUGomWSgKqgq1tsB9Rvg//bWhvKQtkglqVUmrRFYyzVTMTQNRdn1APB3DKvpC6QJMx7r3/oyxtW+g5ugPO+Xpmcs2K20zGQZHCEvwZ+5FtC1dgljvpADWyt1teOjbzZheVYjpA3OP40/XNuKFhTvoeL92RlKpm+DDiyYqQlFdpftnqY6nolLw4w7uZdNjr4kz4ZLa8JjwBKYY6KGdAadWhpgsFVsCp7sQKw54AeGaFbALLJoTfoza8hRY1orBwV8ppToWDUFQVdVzQRv79HNt1rR+WT7ciNGs0ibCJyKoThShQXaDd5ip6ZoHbgHjh01gEVeV0LuTSCOtLho4Ife+uKn/MlCoLoI7ip2fP4g53Fb8LI0Ezx5g8j8fWZGHpTVJyvnXiQmQ2HSCpuwsQbx0LOS87DxR0pNOfnhD4JoJDc7BuCt+OSZ5CmDWqjcHSD9Yr4eLCeOE6J34SRpNRd7InGZxZKbH7mzy0vYQ0tus4XbhVfqzRu3lvoz7GNfy71Fl+OeQvDbjvBMPxk+j2gbp6QUzZvvewL3WTzC34QLsGHwepkUfw6jiQiTVPYBN9n2wpjEGqy39WCZYC3gpGSTE2tQWIwPO57+gv9fu9mJ0P+X8uPLL0Jqi2K2BzIfXxy5HPhPAPy2k9QMIwarT6zdGZgEGSmw00ALhm1tokMMepVQQU6G1ZJEAm6xJNDo2E22DZft3kAUXmmrWY2BwtfKG0DYs3Hwghgw8HJ+t2oUmnw8zhlWiryqmtadAGAk2SxFiXHaaNFkrEDaNRsff0dCEIcl2/g4hEPSDXPG7AkSDI9sXJc/B7kDy/jtE2owjeYW5kIcAumLYRZJhjwuP0zFZHT+NhO0dfm9UVKv8DPBrwdHY2dBErwOCIknROdHuwyZo2i4qy2SLVIFr4lfiYadZhyMXyHeSJHBTwoLL5/O4KiBjSmAjmGhrxh5/0iIzb8mvuNCiXLeczd1OgN29CvbivhfR3wOJxobxCbWo0hNg96AHv+EAm1hLENq3EbFYDIsXL8Zxxx2HxsZG+P1+9OljFmWprKzExo2KAunvHZKzHCA/7eClFx+lFdojZp+B/r0r0cQWg43HIMocSsObcQA3Hz9HlM9hVNqe3SBwZFKWNCxwBVLZUZEwVHxMYDnESXVbBhZOeQFV45TEx32Wa6i90mnC3rGMIoiJakWOTwZZLZGEfoNf1xDG/fl/weIaH+4rGYppquorrVj9h0FEpYiwiFZFzHMpx2VC33xaVXIzycUmsbQZlOEzNuQfiI932TC11IKhDckqlIYWuLFSHogCNnvgekCtwlT4fu7LKJ1zX+d2Qq0AtRdgE5DgmoALJMVxCBwJP6WAllJ/1FE5P6M1HMd2bxjDMyimFr40kX52y6lfIVGc2zYsE8LRGCXWh+LEqic7XuLvo2PbtA9MBH3scVNw/WNiDHbKJbRnVKdM5/Bb59VFHJtFNVtD/zEHAeSHBCwL3jd72qs2SehIe7axp5jh0oS6yoLrsT83X1diDsWVxand0HJB4B9wFI7dVIxauQj/dFnhVz+H6QZFnATpF8ZuoEHMn6y5q1IDiCVfPTAgn6e9nh2FM7QTB/M/YJa8CFHmVlOALZaOgbw76R3/j5PHQS4zV+4JIiPn0J9cEHbOg+fLSyAVDgYuyc60iiVU+yAudyAeYJxwIUyV3olQku4xnGVsNaqKx5lAbJ2MdnND2RocX0sSewpDJM458VTiGEr/bi/AJv33BIwYpfTbGrkEfQWzO8OagkPw2tbhwFrgjJS8idJrn5zz5EBmAa7dciGWuA/GmLASEMkpvdKDy/JpwkWDlYlRbQYNRu0ErUKvodHrxbhdnyMODq3IHGBrLQskwEskErol1q4dmzH266vo3xNT3mMvUwKxiT+fjWGJDfiZeQyYciL2JLbz/XGg73GUuiz4NMtrzmM/xR88H9Le386qYGuwEitEBuBtSdG5VBirrcbrakhkJQ7kFFs/q+q/3lmQY66ptWtCdO73T4G1bjG8hz6JxCCzFZsREXV9YOM5ah9WZmjlqeD89LAIFjtuil+Mh4VnTAm/s19ZipsHR00JBE1RvSOYVebD4WcPx6oW4LzXluNkIUiUxVDTFjddoay63rIijjq5CD/YDwObV4nBo5O+40aIqj2e3M0K9uVvr6Tq/e+cN0F3WjGeS6angt2DHvx2A+xMIBRxEmQTITMSXBPY7eYMo8PhQDDYPgUzG9qrLPwnwKmLKu13ruxtqigGgfz8TFijLWg94W04ygbjvOCzVOxqVfwQ8Hwf7Dj8ZayLidi/XwEatnylvIlh6L5zRPgrC4YmNmL+moU4gAea2BIMGrk/ZPV4GfvANfhslehTUYb4GosShCQi+vG9/LJbsLcxM/oNDuEaUBArAM8X63VqDTv5PmDV/1mDBU2e06bv138KFgEoNOTwLXYHUTrDsHI37H15QGnzopAhZRynTe4ReCvhQB9bS8bvOIpbiCvjyqnINs7nYl8cgKXo3ad/p68FTSleYoUOv7euLYQiw2v7+RbiI+vtWN02Bjx/TM739m2dj/8T3kMssB/4VO9tddHDy1EwXTiXkVgMLqLzIrNw5Hi/W06nrpYzXnBiuo2K0TpPSkRhsTmzXuu86uHNWe0dPpbaAnNIItk7TfoCO/R+g50ZZ7Fga0sEijEM8H5iKvzcEOwPRbysubkONySeRx1XiDLPZNPnTxozEjFHGVxWnnp5z7P3psmFFms/DO/iNSWxPL6RFDXs++zWrKJNBKxarefkaKfGLy8pFZ8Vgy7HKJ6lXtgEq4UxqBx5MrBqKf1/lfsAVIU3Qd5di/ggs/jcO8t3Y9F2L44YXoqDhmSmaCfIDBRtA1u7GIs/ehpDZmQOVYm7Aqku2oXc96QY8XyOKVUtp2rBFWazV8h39DkOaM5uL5cKTo7rn8Wo9xryq71jW+Bxk4weSu0yNqqni+dY0/sq87V7tzkwIQJsD+Ffpsd2xl34RjwKR7ILTQJob4gzscs2FPGw0qYRt3hM3+EwWAIS5FskNMYyp8zsFuUemDqfieCz7m9engctYy6llUarwIBRr2NJtQPLhDEHnQSfL6wEQwnzfXFPQbubCSnH3IhR1kZYY1tM3sed2Q5ir6V5fVsd2cfcsF75gJrvZQSb/jrOYU64dOUYyLFkYG6xWehnbG1owwgphvX1bRg+LPtncq2b8Y3lRjSxRfiQfRiVTHJcuYUE2sh6iLPgPWkGzpS+wT4qgycWjWCdL4DnGrfiIItSDOIJg0ESs+6DaZ6XJXg+PhOcfxcqp/0D53MLcQKneLk3hiWUGT5DsDl1pf5TDj8UlQNPRbEre9K1X2kBUAOMKBbAdmNMlciNcIKBjTefF6LPQX93cqz8L6Kj6/ge/D7xmwqwX3/9dbzyyit49tlnaR92KKTUJ1IFzUhG02LpmrARyzIoKMhdIflPwuPJLnBE8Pjf7kOiaQvGHzYH0w9IZjSb/bVwog0NiSgqC5wIylGaZS4sLqL7d/z+yX1sUX0pSf8cec7pTlaU22Rnmr/tDH4VFp+7DfkOCwaVGqrPaq/oz/2vxHf+3rQCdsvF56KfxYL13z1A7/grdzah10QGfQwZ0b2JY+KfY4SwGVtwOAoKptDHHnOchdaWJsyXRmJ25ThYGpS+LYdBeTa/wE2MjvGfRLitBotsV+j/FxQX6kFiwf4HAB8kFdoHFrIZx6nTYdGD9Wy4hPsYedGBKCiYlPF56nsrAkWOzl8LgmqbRfphO/peYmFlfK1DpWhyENv9jNJYNaZx87BUdKW9ti7CUAX5hkAQgzq5H5Iko01dohYWuJGf4/3xDHrgxAZum2SmtB7IrdT7+Yi4kt3jhMfpzHqtN6s9+C5P+r5lgzNFkIbAZjEf32zYWRdGLQbAwsgYVOjB+oSyKCDiWbeJF+B0Nsk0cAd34Dx+A0KyFfbyJ9MEoE4oSs4LO/oeg4fXDcWppX1wfBfn1jjP0WCMUHALC9thvEy5CPKoIyF4esPWie8TyBxJAgWXhx6vRPlYPLD0NNTESjB+bQOkqrPwxx37YFhsJ/719bVA8RBgv5NNn7GhKYSv1jdiXH9lns2EdRs5vUI1YektwDGXZnzd0JavsdH2Z6xvmoiCAjUJmgEFJUXArm3071FsNf1dG7NlHfPFBoeIjsAlyPq+tEZCVNFYYG3tjqmC/hVANTC0xILqyFrcyr8JITbaNO9cdvAQ2Ff8C2f6FTaLNt7eShyE+/jn9b57glUhD5ZJw3Ep/4npe2LgwfIcNtY1YTKpijeJ2N+4bSkB9t/xMGn4zYi+JU5iM6H/32BldZXo7PvrBE54MO3R3Qbf5Ewg1zsR0yOXuYVtf67rLGyqeKfVwmX/7BR9CQvXsblCAwk0NcZVSWkx8rK9tzBJoWEK+ujf4SwsNb2sgA8AnVQxp1LXKoqLC8DZnNitzkdWS+57WCMbpQJlDkbEcd5nMZH7VX+OJQ4r6nvtFh6CoWJLxPXu4P9NLbsI+onV2Gw7G78234uCAoW1kA10nq+eB/h3ARY37BUDcYdwpf68xWY1bfOw/srx6M/W4/zIc0D+tYA7R683UaSvAYqcjGksdxZfsdfAYkugzrIUBQXJc8KWDsSL4mEQ7b1x4X/RWvm/Ge2t43vw+wT/Wwqu//rXv+KZZ57BfvspQi6aVVdbm1nN0Ofz0V7sroAsrH2+zhAL9w5IxotclCTLnVCVMTNhUuA77McvxuKmfeD1JoloJONO0OZtQ0uzH3nqTSgcY6k9iBGiSvUk9CbyXMTgr+hUKXpB2UYtWyhYAQPzlGDa+FmEBhiUrYglWFw552z6WCgYpz87+P4YJq7DRbtvx/c/OOE66DTw1d9Rqmm87wGAZe/QxLU+oVhM0rf1V34/rJVUT9+YiKNaX8HpwnpYdyYrSd62CBDpOguiK5DjyfMsMjz8ZBtUCDFW1wHfXHwweg2ZknYeCWy+7ZjBLkd8Z3ZBqVuF17HCPx5eb7qvOcFgUal+soHGjN+RC+uck/HP2E0YmtcfVe28t8BwjkzjKK4mfKR4u98fV31HEzKX9tqAqAQSTU1eFHVyP0hvXr1cShNM1hgg53i/kzA31F480/eH0+mWGg3yMfFEnO2NUUZ9tmt92QEv44eAH1P79OvweTBeuxpam1vh7sD7630STorch3w7j+/9ItT2RN0r2M0nP5v0/BKQyo+7LTcVMRpRjkM40v75zAYh6sdXB+yALDjb/YznFkbxj7k+nDDWi9uPMC/gc4FTK45x2UK/o8XSG88mZtPe9NKGNpR58rBTLkOJagjX7AuBTdmWo3Y8jGssC7Bh12XwejMHztGUboZsc3wvpzJ+8xzWnPvsYqwGwrOCCOvI+h65k57Lgwp4/bP829dSReMWeOD1JrUdMsEqstQaMRoKwBVfjUv4T7Ek4EvbrkFFdlgDyWvlDvFc+vtV4UScK74Fr+zCodGH0StaBhdUX3IDprKr8XPbGojxgN6DavyOtuYw+ndwX9vagpA0D0eyv6pSPmll6uzY9bfmFvUj511TfI4E/F2+NrJi6zy8bbkXtZGB8HrNVoga+LBo6h7Z4JiEARm2g6tbCuuKFxAbdSbEymSCxB+J4/jIU7S6+q4oQMqyD0IoQe9fi6Qh2OWeoO+rUKj4VmuQHhuLtivSmT+50NLcqt9L2vwxMOEgJFX3IRKO5jyuPq9yjohGTFmem/RPmFwIWtX3TmHX4Jv4eLyYOByXcJ/QoFzr/zei2KKsoTLBOM+v+vknTKXsmNEQEubgizjhGT+DTRiW6QueRNuQ0yGJ2ddLQv9Z4DyDEc8fi0Q3xlSeOu+HQqJpe5qFvrhTPBeDeSdO3NNj9neGjq7je/DbATmfHWUk/CYCbKIMTqrWL774IvW51uByudC3b19s2rQJ06ZN0x/fsGEDpk/P7lvbHkS1L+e/AeSizLU9GoWNZTjT67Se53g0ikgkgkK1R4nn7fR10c9uhLN5Bdr2uxmy2htJqNP0MwxUb5KdJlUqL5sPp1ynB+//evl5hMIhzDrsGFT1Vmwl1g69Fi/MGwLsLsAoUcLC7V7awzO2lweWI/8P897eiWnsavBimH4P+9HlyJN9WHvkZyjpn9tOo6uocPO0/y7fYdOPj7HeSP4eJa7FKG4x5gdnmoTQbKqP6H8KVoNXc0QSTOdTNsiMuKdclnVMDG3+FhdZnsS6+EB8nxiLg9T+tlSQRW0oy2f0QoOyDXXr4OjktdDMleF7aRyctrIOX0eElmh6ra5SKrb7GbqPKcunvTZO6JcSsTVWxltnEIokcKxqvTXf0y/3NUgq/jFz0BKccA2kwoOBbc8iIgvUW9oI4r0biorwqDZLma71GSOSakMd3X5j+4OGWCTUofcTjQYCC6fMA8TLmVj9zZXG0EpNf8ncK0/QxhfD3t5nq9TzhJR7LssFrm0XnF9dA8lWgOb+2XsqCbQjEI2njKt2IKgUcXI+yftGlrnxsPstHB//BD/VnoVh0/6CAXOvxL4q1zUWi4JP+Xx3vJnSl7dJ0azfLaeoOmeb43u7lLFR6LTDl2M/tF5nI350zsYpWd5j36naJXUUYnJfigVlHFvt7qzzhwZeLROL0RDGEnX1zcDIykL4U97HGmzoiFUTUTAn/us+roAyaVZJA9CEPPQKNaGPgcKrgSiE21pex878ifglMQJeW1/T8dzZFs8YYG+XStGPVeY6DfFYHLLhvaKaDaEJ6xz7++JX8yDGwjh5xhTkqQwcMZo5+BBlli68yHknQm5av+yeXncwwSbsx27Eail9btSwpjYIbeXUKOchlMj82oI3j1K23VcH8fikynUwmkAz8uh9lLRaZfueOjEf2xL7Y4vci7KKtNeV9RuDxTPfwcavnsQZ/HcIxJlOH4eYIWOVIAwhMnepd/mEmPseMihPmS0qigogFpiLMowU0997p/wUevENOC56Nw5JPIKvLTdhsIHRo6HEzuh93dlAz3tESdwEGQfyU1rriH6JcZsZSyG9nzgXP0b/DycEcDm+YyE7EatiwzEq5MGELo4pctxYdc0op2xPvk3AQYOLUeGx/letlf+b0d46vge/T/zXNwY899xzeOqpp/Dyyy+bgmsNxx57LK1ut7QoPafff/891q9fT0XQ/hegCU3wal9MagWb9F/GwskbvUWlPbfUrEeBbx121tYk1ZLVmxKxFTHCwUSx3j2VKiMTVEnbcHPLn3Bn+H5wrQo1kWCcvQHPWv6KexKPwbb63zjqk9GY+MXhaNr4M0aWu5Gv2qcwqge2pi4ci+89FXGnKm5mN3CmRyXW0r4roq49s/ElquhLMKTUTemJxJvSKMTyH4NBafVA9gXTU5tbk/Q0zbc7EwaWqPWIoiE4L569x11Qb5654It0XnSGJFMumtwXB7aj/m2EJcV7VfNt5Y2iW1mgKdCzBrs4DZptTFfUVKNqtpmMHj6DxoERiZQAZ9eISxGaeBN6Dd4X60+Yi7cP/BGrJWWJX50/BWulftSXPJESlO8J5LvdaBXMVduilIVjNhC/Yq1nk75v3AmocY3FQJeIL6x/wGneJ3VRqcflU+jflb2yq2VrmNr6AdbZzsfFrYpqc1fAqOJ5qcFpJpRFt+Ec7ksM8ydFyTqCqjzlPA/tpfRO53MxjOcUASySbOCa1uIwZiGKGZ+eGEoFpwrTMYK93T55glo2h0ClNv7bUbFf22y+Tkj7wTKP4omdCfbK3MKB58RS5g2DdRW5FxBYU5TjM2F5vfLaDbuakveYDMJrY/orx+CHxFhMi/4dfxOexEuWB1Eu7jbZdZ0U+wAPCua+bA2CGMLP7tk4Pf4nrCxXxqaGH8ovonZnWmJLw1a5Iu1zalvNQbGsnk/CKMqFyzeei1u3n4eod2fyvVmu74+ZA9Ms0xBTqu97ErKobHsix7YTFw0NRPgt1k6VLVq7NqMKNxG9y6WLECkeg+vl6/G3xClp1ll9h03EPEkZk+vk9ueTVDh5KekXr26D1EFhRUZUzhEr2Ck7xojPEvub5lUCmyr8Gjb0GAyJvIRfLEr7GZOByZQRsaB+/nmDaOwuuQgJ3lydDnMePMclx3RQyr02+WlLC56YV42ft2XWYekIiP6DBqP1HsGgAgsePrgY1+/XEeXMHvTgfxf/1RVsYsVFaOHl5eV46KGHTM8NGTIEN9xwAy688EIsW7YMs2bNQv/+/al6OLH2GjDATD36vYJR/UX5FNVrqsAqKz7X0UggmTlXF3faDWj62tuxpbeiXlqQpwTW5QNG4xPLLBwV+xxLi45GZMARGDbmENgXfwSs/I767moK41qwTBAPKwvPMOtAxY9/1PuG6tXKkLYgZdSMLaHd7W2brkyL1HPCL1GKl+b7qS0yJNZCe00JfjEsgv9TSBjyXVa1L14DZ0kuDKMus2q+EXkO5WbtVpMZmaqnFB1QAE3ZhA5hgmU7JhasQ8IzFCLM/pnZsMEzFcMN/1eQ/ndSDXAw7apA29WebyGDlZWupqouojqDuLrQtLSzcCRodAxCn3Ct/r9xQVtUUQVroElvtZAnXYOKLy7EC5aHsdI3Ayg2J7OMCH3+B7ByHNy0myB42ncKIMgfMAHxi5di61NTUCXtwIJJ/8LASk2qLDeYYD3mWq6BFCNj6BeU9hmK0vMew4xNHwFfJdstGuQCCKTlhAFsnhIDoTYzRpbaYd8YwdAi3ijm3CnUNPsoDbSlA9bWfQIrcabwEpb6SUfueR3+Dil/AHXiZR0FlBwpNK1GSWSD8qTVA65VETgyCtalLt+JsJrOasgCzdaJ4A7LTTDf2ZJoC4YpfTcm5+6ZXmOfgHGBH/X/7YjBJmR/z6D9j8W8SAALli/FjcLbac9vkipN/+9satONj5i4ckWmBiOZ0Jo/Cg/HTwHrGYQhUvZkgaxWsCewG7Daej5caivSyPhKWgKYyS3HXfILOMKyjvYrZ0KZTUREbXUi1nAmGHzk30zMwEX8Z1QfRPPQJlgpDcBXiQmYIZiTUdq9KUFEznLsa1y95hPxZDJCVo9VWLaYHDkqJyep9Qk1wGbie55qK6s+8IoaexYYnAKIbdvI6HLKYTLCqHEjpehNuGONeK38LQQ5ciyTLMJU9M634/NLJ1FR1jyi2mfcBIbBZfxHaSKQHYXdXQTfwY8qrgwqtHu63M59jklE9DEYkm16GxbBOqkv9jMKjfmJfd1H2CxVImxglJFqeVtC+T8YDneoasWq51vinbqPOsHM6F/xp/IxJu+MeELG0z9uwNXqlGLJodZOUIA2jGSq4QiRc2W2ruwojGsybc2o/9+4CgXvHoOEpy9azlJcJXrQgx78xgJsp9OJJ57IbI2h9VjbbDZa5SZVa6/Xi6FDh6KwMIcAxO8MDLJUsNWbKgmw5YjSMxhknboYkUdMeqAKM+9Ak3AnylmearnaBQ69bHFq3RFwDcDwicfS18kqHTfE2Okijn6/IQNeslnxs6yStpu3keUQ/OoOjBCV7DejVhv1AFuj+e5hkJt5KBqji0Pi6a2hV74DUHdfoIrpauXesJAgYnf/aUQMawGjuA8B4yzCz4mRaEA+8u2Z1YmVF6rnQ11sjI8+jWKmDffwL+AAbpX+siZ/OK1vk8JwY/2x8FTkNhxKh3XLp3AsfQKhMRdALNsn52vnl56BttpN2OQ5xBRgu1RXABuTaDfAnlDpon1zg0o9aYHeDttQeEMxBLmOBfqp1dzPLbfQ8c1EPkljdRjxo78C46W+GM4qgjfeHathrF86Yo0YwCoWQ60JK1zqtJuI544Wi7a8S3ud14+5CEUdDLA1kMRRRzyjjSDb05dtRES2mAJhLZgiFk2PRo5CI/IwjtlMg59cx0V/v7aIV5OBXUE4ooyEkMTTvt5cICrFmm9sZ+CbpVhRaWiLQbfzI2JE2/0yjI0sRDU41RxO0CvY2Y87a3VhmTSItt5cdkZ2a6ZftjaCSKjV+OI5U1XLCo/C+t0tOIRdihncChrMlUOxrMoEcg8YOuMsXLmyEjciPcAmFl2nRG+n9lUzuOXYIQ/FDPW55tZW6qHtS7SfgAwVDMcTCRljeA8ObvgCZDbY2hJF2uylBthEMd1imPc0yzCCc/iv04JrwgQh9PFT+R9QIsR0BgapphpBXDY0pWtGVSsnLz2ZT1LlnxKPwefSREyxprC3+k3EI8GvUGDjkMvPIK7OppKYvKZbSyfjod3XYSBqcGI4eZxlwxzbe8h+qN/uxYABikL+nkRfjzLPVBZm94WWUoLvfYVqgzGagrAo4dTo7XjTeg9NFhhHdqHsxcDWD5Bw9UILcls6EleBbBitivORMbc7FoVgyW1NaILgQHSYWWxwp1CFcCiIIJ97LVhd10yv6ZogsKtVBuH+RGUBs2P3U5vBs/UxatOFKhdzl5k+Ix9+JfHHAxtqW0z3smxgReVuJVuccBhccIgNYaorjIVjMJxJXgvENiwX9m/9BDda/4lfmojDQddaJTlDYkJTDU9uvHoeO1qt70EP/kfxXx1gFxcXp/lgZ8OwYYr/5/8aSJ8q9aBMofHUcRW0rysKC4rL+6Nt9vOEK6s/z6sLcAJ/VKJZYCOqZlyAQMs0jO41kVZ1EA9hSN0H9LkYawektjR/S6t3vf43rZar6qLkNbsaW5J9cOp7wqyT9sjGw0nvyT2JiJiAGIrAwyjBvLbscliTN4zRvQtRvXY9hgLY2NCGAuTRSjLz/0UQI7ld10ovEUdq/X8mvz/OjN9G/34xR0W1OayIyRTXz8U663dYKVfh1Ngd+Kt4sinAbgvHMi7atYw+QTXXUWmgJMKRCA2AIlL7SsW/9LsKH/rrcHy5maopucppz1lHgjf9Jp/BIu6LwnPweX0DrvFUIbNeenaUuQT0ZRW6Z5PBvioT3nSehT/5jqMtBwSxlDiy0Jf0I7fY3RkX46kgatmCGlFwqu1URyvvdb4oyiWlwryqIQabL4JyT/ufERdVizU18aU/zishrZ8vxL8SR+J2/mXaL0mwO+5IBqHtJH2YtHpvxxGJRvV+wHa/TvUN51Sbs47izi820Ov+6gMGoMBhQXNEhtYFz9o8CMvmMcZloJ8KmrVargDbVYKTY3dgELMb16+bhwH7Z/azRUJMm2MzgXj4vpI4FO8mpmMddz597KBm4jig0FazIS5zeEY8EhfzZpfka/h3cUv8YvyaGE49r6vcDj3ArmloojWxaj+D9si8WqAbEyX4Qsq80haV0gJsEtyQoN0YXHcEryYOplVGEmCTCvDFDXfjIetyrGi5lYTk+uuG+ObjSFUdejqrzIExCLTPm+Ch+Ck0uCZIMSRB70IXzpmWYv+XAWKGpNnkfSfQHyZKhN3mQPjuVirqOaAomSJy7XsasO9phnronoPHosxb+S6HwfzRjB96XYRzdh6B+/ln6TWttWIYEYol4FPTWnxKloPsj+48sYcQCfkgWHIkkVPQGopjuzeEIqeFVsoJNg2/Fh/VB3D8gNyJybowSRIUY2fcDd7i1BNMJUwbrjsxqfXQHONo73gm/NvyoJ5c1a7Z9rDUOhGLRQsq8/fFcC6ZrHr59FHILypIC7Dftd6VlbKdBvVcsIZ7eWdhYZMXQmrxpro1prCJAnu+xakHPfg94b++B7sHuZGnUoGtKRTZ0OFPYOURH6N01KGQrR7EBhyG2MAj9eftcnJylCxutIRiVEWcINy8HY5Pzgf/y18hlij00ra2ZpS2KIsUcdL1+nuNva8h1p2RSkYq2NSORH+PcoNQaGWAGEhW0/ckyMLusti1ODl6BxhiqaNvEGeqrgVVaqEcqMcy26VYar20XVrw3gDLCbSqRTBWSgZlBITyOYFZjylEJE5Vy82E7a3KAo9NxGgly6ouiFbIg7Dl9EWYv+9jurdtJiSiyZpxwKhe2kGsq1WSJasb2r/5Vm/bgOLWFahkzOffxxfjbdfZeFc4ut3PCE7+A5ouWIXg+HRrFI+NR4FdaLeHOhf1PLU3PhNK2TYcxyoepgRyytgx9jlanPko8ihExP552Y+vmJB0xXGhE1Xoxt1bwb5yBArhR5PswbnrL0TLoqS9W3t2TJn2d2dQ2U4x4qfJp7NJNRHA6bHbsNKV7CfNhjX1SrVmfZ3Z7aGziRsCOUMiJRWM3sPfuQr2F+sa8MmaekrJJCD+txoEuwecugAnuDN+Nm6W0lX4+3qUcz2oPLsGgUPgMIv9lfa1H/bLHJP/uBE1bAW+TExAqyd38tjJxVGCVqrkrKGiqP2++2nMCkolNVaECY7j5puoutp9wUh7Frn2bWcciNLKW2/is6yyF7TWJCNC6n0gFQsthOKfHcTZIqjWU6WoH72sYRQyAZS4zffC0khyH4eyNfT3r2ySi3Cz8BbGMFswgqmG3EWqttajTRhjac9xdojf3A6Xdy2c/q1oWG5OaOwtMGqlPNc1w6pzFem/psgQYBOh0g1yHwyO/BsHiWZGYUy9X0jsnguwY+HONZKs3LYTr731At79OMkSOHv/PvjL0cOxf7/cSdrlBbNo3/97Zdcj4Um2Xt102EhMNLx3VzD7PUQLrr9OjEeDRRF8bQ8LhIn4P/EUeIsn0ARk6zGvIeHujdFzz0NB8xLTa1MtENuFGmBzaotAl8BZEB45B+Hhp6XpJmhtgcQHuwc96EF29ATYv3F4TnoG3hM/grVfUpCDYELffKr0WJqy2NDgMATYa1+/AYv+dRE2bFhN/w+LgEUKgxOTwRZjEBeK9DZUVo0iKYf9DRu4wTSIkwxDiwTYMATYZSqFPyooCys51HUxjlwglMFVchWWMcPBWJPBf6uRi00XfOrNU1sE/n+pX5OqlwU3xi+hf/sZs4CIjWfxuOUfeM1yPyy+5IIxDer50BbI+7BbaGX1C8st8BRWAL0m4OzYLfgjMnt1Nqu2NAQjg53vr2K0oKadqhvBrMjHeM96J4bWJFVpCbyhOK0mPvStYheWC9d/vAVz3t6Gdd70auKNMwfhq8sn47R9zT2lHYKxdy9DUGDEKKEOf7MoAmAEgcKxpudFSRlPa6R+sLmL9R7cbEkOgphBmE3oRAWbnHdyzgljo9o+WlGCVYOi9jC6TAkgbZYUb1y7MhZLmVacwX2rP14tlcOa1z51XavoE2XariIcUReLBs2HbHA5leDPrYofdQRiLIofhauoOrBdVoIs1tAbOaRPBXjDefgwMQVfium0XimvH8SCQWDtmYNGLVl2g03pOdVU3jNhLj8Fl8Svx9b+ue2wpja/jUW2y3GX8BLdLgJrXrqAVypuZl/BVG6N/v8IAyX735YH6LxxK/8qYmoCkqDaNgKPiSdgnSd7v62GotBmfG69FXdH/oKFxcfj0OhD+KE4velELB6O62Pplmak/SsXyDX3tkWp7BFV5jKbkgjoU2KmBcspCSMiZPln2626Jz3BR9bb8Zn1j3C0bTS9tmXrr5A+uwbMosytavo+qFTrhIGVwjeuhmXbV5Aa1qCkbaX+eGs8uT01rWG8tngHvlhpbqvaE2gJiYhzDrTEswfYHKPQj8/jv6T/L99uVlUnkJo34zHhH7ief5sqZJPWKw2bdiuq7lvb9lywFVO1XDoKpnUrnrc8guuCnRdR1BS/Sd++WDwSjbJCp3c4zEJjCcP6hTgZaJiXGEl/f57YDxfFb8Ayz6Ed+t6+BXaMKHejxKV87q2rSrE9YgffvA5MBsE7Yn9KcH7sxg4H2DxhMXURMc6J5SNvx+qxd6c9x6n39p4Auwc9yI2eAPs3jkThEIjl+0K2Zl/Q/bTgJzz1zF/x3pdJ30atF43gSPErzOG/hYdRFpa8urAkfcA7G5TqolGIgzFWBA2BSEXVGBRe+j0GTz7RJNhFMp6yWlWa7zkKriqlMrGq5Gjcy12BXQW5KxVdhVaJSu3J2+1LBjbrG8N4quhWDI88j9XFs7QNxv8PkGqCVnHuV2rOvNtYCRWMmohQe+ozoSFvLP4cPwc/Og83PT5MpTsXFJVjrjQWS0MlpsqUhjDrwnJpIP37UL/SEtAZ6CqqHag0zg68S38P36381kDG3UBmF6oSSYX6bNjSFMT6hgBE9Vwb4Vj4CIr/OQjO+YrdVmdQ3xbMukBPxWHyz6b/Y4Wk4SCJfkVKgMpBomNRViujmeiYGsRoMsDmO9GPyKp0PrL4kbQKrErjbBfqtUwUs42wGBSj7xWS6vZ5TBB59g6wHNTjZ5xzOouN3EBcHbsSP5QpFOhc6KcKx5W316xtQDQapCJPxHrHarXrjBINkqMEvIEl9MrZ++GjixRasRG+o/4N7xk/IFGcg1YsS+gv7Uhec8HM13O2nuI0CMqOHsP9giPZBcp7mfaTMtpckwpiE0R6YQmId/XX8bN0fYot1hF4VDwJGwuz0NoNIMrMBBZE4WcLsEnujaA13ZecJA81dXIj4gal5mzwMGG8n5iK28Xz9ERSKl15cJm5mk8owOSYaiKI2QS9CH5dvgxl295FYG2657ERot72kbymN3/zBPI+Ox+7Pn/A9NrWWPL+Gd7wDa5aMBWTfta7ffcY3rUcjcHBZ3EPoyRtM+FgeT5NgujINCf5d+NobgEOZpcq22xIuEiqFVm8mxXs3ZakKK0lEe5S8o2MWw2u729G0bOjYF39cu73RpX7FRkPdgsHm3pNlBWY11OL8kg/s4KEqoFyS/wifC1NoH8XuZRrUEztMciCG8dIeGW2B1P6KNcIUfyOqHZjjeH0ZEVQVfUgfeHtgRW6H2DX+6M4/d9LcParyjnPWMFuR6G9Bz34X0dPgP07RejL22F5YRp8i19F8e5vcUf8UYxueF9//jvDQtWlyppYnflp1EhGteEyKkl+Ny+pWJtfWNauH2+R2w1Z64tUFcUJjj7qNFxy6a04ZEruXsGuglgtzeG+xjnsF2AirRkpvE1MIRKsDWHY4LGpiYX2epz2IpyscpM1LuaV/5PHP8+S/cbmcw3CS4nDsdySWTSH9JYSdXASW7cEM/TbsU48KSpyPgNV26JOawLQPzpuc5ZI6VuzxtvwrfUmfMgbFn5ZcFjsa9zHP4cyr9K+YIZMewSZeOd7xbY0GGiK7fT92oiitgFCSq9xRKMcM4pibmNY+b+mJXuiJGYIsDXbso6AVYNZohy/f/D7TgXYmuVfKiXQ5irApwbLGg13Cy+gl6f9bYtYi7FQGoadfOcteDTsFPPxkTQFjaXtV061BAY6QZH0+ZXzLcmMrkivMQ2Ia4Lk6QvenhSL6t22CH3qvkgTbrvvq42496uNVFwvK1KObzjgzfgyowVSLhirbayaxGiMtH/tlrFtua9hFW4mjJZ6hTUTjitjmwhhtgenU9kuJyvqVU9SMc1U0benXEP3xc/ABJ9SVTXiOVFNghrwL/FIvJ2YodvekfnctP2qs4L+fYjRY6rToo3bLJi3LxqLpSVbMsE17hQ0Dj8fVVXJ5Jqkbo87bvbuHuNPiqvxNidlmdjljrFMOgPSZkIg5LCDGGlrTvN+Tvsc1bN5CLsLnxQ9DjZsaOlpUnRX/I7szhYdQcwgB1RuS3RJn8F4z1m5vQ5stBXLq+tyvveErbfiPcsd2Afr4eBZOtaNyvYaduTtpzMetoSVYJq04WhMMYe6dsiUtM4Ez2fno/C1AyE0KMyGo5l5OoOkOZx+fydaOgSzBmcXrNPQv0wJwvsT8ZkuorqRuDb4MMCVvj/atdBTwe5BD37DImc9SOLZX7bjp61mKvWu1jCOin+BUmscc86+BpIzSdesq92JfqFqhBc+jBGKTBkSluTkPHn2BWh+5X0UickbkM1ZkFat5lV7KGPAN77pfXx05EpYOBZjPZkn/L/l/4He4E866kSUFRWCWfE1tkrl2BkSUBoVTYqi8XfOgr9J6Y0jqGfL8Ijjep12d/m0/no/1MLtXjw5LztF+oJJfXGA6sG8eEcrbuHfgBthNEfOh2xTEghfO4/BW4ExWCgNx8mlB4DZ2YpTue8xacmXaT2z/2ncyz9Hf7Ph7CrA5Q45Tb1Yg6ZAuq/3c535nvr8SfalOCb+OQa+UQsuX1kYtQTjaI3EUSwDg5hx9DF763rs+udMSLKMJrYY9zkV6zUNQ0qcuO2wZG/7Ve+uwln+UIepvPo2pQSkWjKBLDy9T8+gNij9Cx0guxaYfjee3V6C7zcrx+eyxAoczf+CXX5STTzE9DmbvAmqXBxa9R5a1iXp7nc474Sf9eDaA6swrrdSqfh5awue+SVJ02TCzTi2gz3YRhsggnjQvKAmtD+C/8feXUA3dh19AP+LyZKZede4zAxhbqhhZmybNGmappR8SdMGmxTCDTfQpGHeNLDMTF7yetdrBtmWxfSde58kW0ZJlizZnt85PpJlwbOe4M29c2eKRdWs4Dk+xvGw2ouxaRPg2L0cDxofQJNIxAubpadlwnnqX30F0Fghqr56B/fHW9+gu/Ka92B7ZTnk137D74sdBF7/DmvH48/RsAfPyTIhdqf5tathM7q32+/AmZLL/a4/R7wPTarBZxnrUhbhJlsqNAYJrnv1Cdyo+A7ypHwYTnoa31ca8PrGrvd+T3csLcSMnATeLi1BJUOSWhZQVk/rGa/j3d0d+PytrbjD9HcUOKt8Sy/+ob4d5y2ajYWFQirxlmNteOnrnfgvb7ck9615dMri8DfHebC7pbjY7oRbk4rTrX+BGC588Y2Q0nxA8pTfkpJC62Q85fgpbpgX+GBC3KdXYatsIp5W34FTy1Jx2cwc6D6/Gt91fseiQRzefxOQ/8d+bz9B220wxtPf3l67fdDH5bUJAoxl8r69FjJVHK6vb8Vh0bWIFw1ehCrZ892gdJnw8O4lmCw9DhbTeb1aB7F6IL+TddUJYN0S3nSejJmFGTjt2F99l7/pOAkPOa7E9dKv/G7P2iue5t4AseEY/8w7agD8VsL2yEg6S7IOyca/IMndu7hmyeY/4tCPInwtPxXfKE7FdDYIJmaDXAO/zqXzbudtwv79yUc4v+kW3o+5zFnb57rz7m38ZN7lF65GHH7+eN9ndMpp98Oet9Q3aLO/qe+14Wz2/4WLu5akPPH9QeysEwLiPfUGv772ferx2dLUbsCf3tqKDGc9npH/A1KJCFM6ur6LJhnXwvzF5ThqcPHWZfOdQhs7b62WULHK3V4/fv8xXvS0L5tvW4uLrO+jXRSPp9W/gDYpE386s6tO968/3QNFdRNYc023RNbtnSj8X6VH/o3W57/k500iDd5J/gXuueAU/jvLyii27ECC2AikJUHr6Dq+Ysce3Z8ZhVSCVa7JOE68De2SJF6vYL54t69w6CT9t6hSfgvsA+x6YX/UtFuwz52Hv6t+xo8pktytuNP0D6Q7a5HoEl4bzjhhKcfP3F2v/76KGuaKhNT966Rfw9z1zdSnOM/Aliw+E7d+tAstJjsusrDnUMdf015ZOiVfp+5132d7UdshfJYkdh7AVuVd6LAlwoqu4qh8+xRxeM+xlA+KyPY34VTFLmg2PMEH3+o8t98qnY6OOffgvCmDL1UhZLSiADtGfbG7Hu12N+bm6JCfoEJtu8X3hdndrYpPkeNqhr7zIr8Am/dKNgIZ3n5U7Asludh3nl13b+ZPsaRaWFvWgniodUm92kAkpuf7Klc2Ix4paIcxYQLmFwzc/uLmK4R+0l7S5EJIDrlQ7tgDm7ENUHTVsI5r348sZ43v91LnATzTeDzWu4UP/w5L14yKweLo83nwajN3pT2maxVdxXq6BUnNaYvxXq2QBp2pUyJDq0Qy9CiCkLbp0oawZjdMakTpyHY3ADm900+9HKn+a3y7Y/8Pw/4fbwEhtbMd9m4HQBfLVmKGazdvw4ZG4aCC5SF4cxFeh3Bgx2Z/iyGsSZTZDdhjMPCWJKdLNsAOKQ5J/IuQ7W/sxIvWU/CVaDrOyvHWHe7fWu1pmG/4GuuyrvFrbaJS66CHFokwoMTpWYftiVlFNgPqOnS+14BYJuxflVLZK1bo9MyqJIsMSHZ2vWYqG9vRBBEMnvRApt1i93tdJcKCWkUS1FLRoAGuvvAcoKYrOyQh2b+PbFzxccCOR2CXCQHHvoxz8ElTPe+rmmpoQ6lSSMfl6g7AcPh/SCu/BG/P/RorDtTiIQROrU1Cp1vF23t5paEVMLd6n0Ku7/dQLk60PYmby/JxQ7dL2ax7YZIGD7ZfiT/K3kQrdEhCB1YnnINupQMHfU2yYkmO9nroZDsB/U5YJl0JvblwwPezwVMv4bdzFPhjoR6uOCUcGPigTe/S4KdfqtBhYQftBqTIq1DqSXlmxrf8iHbzNL/HaOkwspxpNrrou1ynS8RTDqH9zxUSMXQqFfa683mA7VSlQGJuRrH39ekRJ2nFYsluJCgCL2SV665Dk0WDPR0GTM0SXiPSFqGlIaMZoL0RY8tZBM36x+BILkd9qx457nooJp076ONax50G5YFPel3O6mgUZmVCXr0CLqkaYocJasMh/notEwP/VTyIVa4n2dDNgPfvUiXyAppim7B/L5H+iBWi3vX8lUoN2hCHBHTiL/ZL8YLzJ7wQ3KQz70RF8/nYWmfBcz/sRLtbA1WPHtds8E2ekIHktj28CjnrGa5L859N7V68qutBE6C3CZ8x/DrqNEhMjZC2HeQdJb7omIo9TgOmSew8VlMplIPWwP/os/dwa/0DSPAstfJqLjgHONi1P48VXwVvQnR8WgEPLlnaOvveEzYG6LB6gn+3GzUt7dhTzwYue4+YsuepuyN6s+/9dKVkGW/d5nSxQY2u7/7uXNqu54atI/4/+6VorTfALtJDpRBmV3sOaana9vHniFnhnIz/c16Dx6cMnlkykAZpFkrtwnO03FSIPSbhf5gqaUCpTHhesltWYZu7q1Crd4nQOJuVrUPgWXbe7wBrXDY//klHC9KdwgDBJlcJVC3sfxICbJG1zbevMsb5f6eywbXur7TcBCVus9+BdYqfw5o+CwmG/f5dOdQFiDcJg3iyRmFwi/XgKMA+PGY4BYfc2bhUsgKzZJt8t6lMPh5anTAQ1yLLRKZdOFaLS+3dvcOWuxTy6uWQuay92qj1xPpTM4bjHsGBf1dC2lmNYulmHqQ/pe/KFuye6u99Lg+3CgPkk0Qm/nnY18BSXHwK/k98G/88v9dkh9it5/8ze514p1vYa/nRDrY0gQJsMnaJ3GzahPg4nS60toZWSTScbnlvOzZXt+PRsyfghOIUHrw0dvZOeTzt+5OhsjZCf9FXfqPIrGjP0V0/+NLmZKp45E1e6ksh5ddx2FG98wc4rEYkF85AkieYZvSNR+FyOpCc2TXboG+qgb56N/KmHN+rdcNg2Ghx9d41kGsSkVEgFAbx6jzwI+pahIBwyp5HEWc+htWznkVj6kJ+WWlanK8YSHOnla+57U9RisbXkohVRi96rZQXk2q5agNc2ixfdfGtx9oRp5DwQiNsRm9fxQ4oDIdRkhoHZM2EWxWdXuqd7Q3QmiohyZoNR7ciPIzIouep7q6ErvVqPbG3877GTrir10HmtiB30glQm47CqStgLwJ+HVNnG2r3rEBRshJyTxX4eoMFLZ6U8bbEKZgSb4XWUoe9DQY+g+2UqNCcPBs6wwGcuOoCWORJWH3mKkzxBATe7ALWJorNNE7M0A5aiZ29/uoPbkVWyUy/1yXTUl+F1qqtvt/Za0AqFsOePg3VtTXQGwwwaMZh9vZfI6vhBxiWPgLLpCt6veaO7F4Fu9E/G6ApeS6val+eruWtXbxrzg40dfaa4ZuWHc9TWAdTe2gb1PGpMLU3IWt87/7fEv1BuNRpvKI/m+naVtPOX3dipxXp+o1QqaTI3vUSUlo3oXPRAzBPvYFfj63LZ7O3wWipq0Trke1Iyp+K9vpDcFo7Ea+UIW3qmXxmje3PNYdb+235NC1bB2mPWS+W8ry/wYBU037kFc9Aw9E9SM0tg9yzXnkg3tdks9EGjfEojtv6c8gNVWg/83UcSVrID+z6491Hyl3/hnb5b2AtPBUdZwhZHgM50mpCdZvw2Zek38oHiMZXvYX0lnXYXfILYN4dvgKQ7HV/7OAWnLTqAjiVyWi9vmv2t77Dwl8HKZ7Pn0aD8BmcIWrF0YqNMHvSuLtLzJuClCxhAK8/Ha0NsJn1gLUV7c1NsEo0aE2cjqx4JcYla6Be/zg0m4SK/8bZv4Rpzt0D3p+kZS9c2hx+0NvWUNXna7AXhxmyuo28z3ldm5FXtz9cW4+M4rnQxMVBoj8EZ0Ihv463IjV7Xm3yBORNWBhQdWNxxzFIW/fBYLWj1iJHfo/voO7fN201FVCPW4gDLRa/z3H2et1Z28EHxFiLqziHHlZTB7JkRrhUyWiVZePQ4QroDAehyyxDen6PwN/thrhxO2pNEuRoXKhrrIdu/CI4HFaY6vYhIzUVLk06/z/ZGmz2mdepyYdRk49xR97B1D2PwDL+LBhOe37A/9X7uerutmxAoUtHbtk8NFbvg1ytg1Ffh/yyWUhK1kKvN8LhcKHxaAXaa7u6RrDPufET58ItUSLl5Un8so9P3dRnNXD2+bDAk4nB7K7rgN4zyDx198MYd/S9gV8/bjekDVt4G826+OnodAif2VKHEfMkFb7vhyazC+qsSdDo98DqdEK/fxVKK19BU9IsHDz5Lb6/hsJq7oT+yA7kqqzYaM1Dp1TINlOZ6zB7+2+QrN+GbRN+i4biy3hGi9fm6jbEH/sO87fcAXv6dLRd8Fmfxz+MPn4iRJpUzM4TsuHEnXVIfn027yTSfJsnPbteCJKTM/yDXPYa3FHTgVxJC590OLpzOdRJ2TDpa5GpFkNeMA91BzagQNWVW6b69g7IbW34fsG7aI8vR9GRtzF5z6NoTpqJA0U3IGficVB66lsYDa2o270SmrQCZPYI9hlW+IztJ3vGLF/NhYFIWvbBmTAOG2s6oWzdgxNWX8yX6nx1QleRSrbMY2au/3PpDbqT9NuxdN1VcOjyob/Sv8YIw2aq2ef2+BQNssV6SJv3oNPqwNHWTr4vmK0/3YicHi04xxqpVIzERI3vvU5GvqQkDSQDZQV1QzPYMcrmWbfpXT9VkhbHf3pS/Chcj31JdMcKI42b0dXHsS8sSC6cLozm9pSY1jvFMTE1m/+Egh2M5U3se5SbzfAVewbYFdUvA+ZjmJSmhK2wd0EPdqC7yHOwO5gktRziPmawWcAyt6CriBh7jidNZAek04ZQhik8EpIzkVhUxD+Q0eMDmfWFHqw3NAtqy9K1QHpXNVOnyv+AUx2XgKI5wjpr7+EAO0TrOaRgwwSM7zGYLmlrB1axCQOHX3DNdG9rEgj2+ssp672213uA0/0gx9VtW6f9bz5EDhNarliFOKXng66PtDr2miuY3FXx3mtSxfsQGxphTT0XLmT7sh3YT6i8AU1CSt/vD2dike88C9jndcsAkUrP41/C1qbvgNZNvkJDgQT2fWGDYt6Bse4DZMo9b/P16Jbyi7Fo3ODFcnqu3Z/L349CQcLsImEZQSB8r0lhiyDanwwYqgCXnc9ue2e4B+QavOVQd/lJav4jEJYOxFk2AC3reHs0U7d9zQL49CxPgNBjxqZn/3BvUO5CJnJmCe+hUOiS0iGVZvZ78MVmo30CqMjv9FxfLWfv7wCCa0aqgj1XeH+kepKfxndLvvAWavNeh8nsPbk2IJcuBzZdDk8O6H9YUPi+8X7npMdregWRU7O7F51SAclZnoVP4H3YZ05kg8v9pCmzQaX0abyPMbtNapoQwCiggUY73zfracsXCrcVFwoDYuoNv4fyoBCwdc9s6E/3z9WevEE/+/7sOTCRllfGf7rjr4Zu1f8X5usCCqwmZnZ9JsdVeT8bB0hvF4ngyJiJ9IyuDCYBe6/n+T5zvc++LT6Tz6OnJuTDFCeCSp2KohBqdfSkUMUho2wBLzHm/+pNhqYmH9BvQ1GiDNndgmuGBYhym+c92u2zIZDjH+9nCmtJ5Xu0HoF199fgNL6cSHgmCqZ6ivzldq25zypf7Ld0y3XuOzC63ZicWMwHtzUdwvtYmz4ORbP9s7802iQUzes/9dstj/N7Hw7GmSxsFxtMkMSlAavZd7Z9wM/97sG2rEbV67nprvvnNvsstMVl8lXiRWy+zhNg52olUT+eIiSaKMCOUWwmcND1U4yvqNTo2JVsJoGvSwrH/+N2Q+SpdNlzAIKE+JR6DtZE/RSQklWvhMjazg/aXJ71ZeHGilixAJvNqok8r/+ela8Hot7yHKT6/XCkTYvqcoBeulUXF7dXQbX9ZbjiMmCecXtY7j5u5QP8ebMWnMQP2HqS1m+G9odfw5FYPOhs3VAEUkW9/+r00og8Lvt8YO21XKqupStR1a0tEH12DT/2GeYLroMs2hg23YuNOq1wBxBgdyfyDkoFMDgQLBbAueKyELfmIUhb98Nw8t8R8fdCHwXYGNZey7DkYbjUwb13vZ8DvqKIYdZzXbojfymrCgubfHi/c7o+9/pvC9nv4EOwr3uRCOYJlwpr4CP0vBIyUoyOqGwUB9iDpod6WyWMkgA7kPTPkHoZD1aoigTGe7DGDk7YaHWPNHDN+scha9iC9tP/xUe1I8FbkZ5vg7cCeRCv/64Djv6rTIsNNdB9cwtP6W7/yVsYDvbCk+BQpsCeNRcSQw3UO1/lwW64AuyugYm+D1RF1g6ezhvoLHHIfFW+Aw+wu2abQt82ly4X9rRpcMb17t3NZmtZe61Y4XfQH43gbqzzfMa4FPHQX/p9xIKwAYmlvDgWGyRm79mgZwO9AVWEXj+RDlADHZBzxRfAMnng1ArV9n9BvfmfsJScB+Oi+4ULvfc30Ax/GDlTJwElc+HoIzstorz7p58Bir54g/FQBmc6j3886NsQMhqNjqhsDKSI98szs0OzHIME2DSDHd6DHXa4x157Pb+AQx35Dkb3ADmEGexAAjyR3QRZw1a4BknJDyf7uFPgyBPSmWVHfvAfTAj3wEQfvNkekR6Mcnv6Dw80wNHfDHZQ+7kHtq6d/YwIfgE2DQ4ON98gk0jMs6qihm0He58EMxjl4X1/hfMzxMdhgaRVaNEV6ZnKrrZ7wT8HPk4rby/GWnf5sI4K8QVwKyNTb0Wx/yM+UGsbfwZfDx3172z2Gco+4wPpSuENxmkWmpCQUYAdo+yeEU7WCiug1EkKIPt4cqRoO/tt3qs22PQ60je/gzV2wNMjwO6a1VBEcBtkvp6tHae9yKudBxMIB5Si7F16MUgP7EjxbVs4D3C6PW99GqbPEtPsO2GefDVvpxUw32zT2JjNZQfkTk0GJMZ6OLV+TafIMAhLUBeW7VDwQNmb7h2UCKaIs0wXbwX6SM9gm6dcD2vxOf0uORJ31kLSdpgXkXQmFQ+cZt5tfzqTy6C/YhUiRbXrDV44rz2hkL+fxa0HAH07xJIMQO3faSKiuu8fNujSo8d3X1yaTFhKfwpnfJBFFxi7GSKnBW5Z3JAyjggZ6SjAjlG2ANdgt539Dv/yDXb9UaxSb3wK8qrvYJ5yHayl5w/tzsSSoAqDkCDXBbpY2mKP6rG+WZMIHnT5Dn7tcKuSg0+dHGRNHyPyVAJ2B1ApOVxYlXhJRwM/MIlE+uWgAwvejI8Iz5g60qYEfZtwzGAPRHZ0OeJWP8ir1HeewFpQRRebNW29pqulDxlmns8Isd0Izco/wp67FLaCE4d/N/g+6wLP9vDxNoiJwKCU3+dShANsV3w+/+mPvPJraFf+EZain8Bw6nNhq/sQvnolwkCHcuu/gF1vQj7vV7DNvHP4tkOihGn6LcL2BDJ7zT6j06fBkC50MQhW0rsnQdJxBPrzP4Yjc1ZI90HIaEABdoz6+wWTIVPKkasZ+MvRkdV3FeaRStJRDVnjNliNddHeFNIXkQTtp7/E1631lRUQkZnXHryz46EeLAU2g+0c9hls+a63oF79Z1jKLoQtZ2GvYldDNsisnG9QIQazYazjT4czPg+OxCBmvXtQVLzPawSwatGdxz3i9zeWOspm5VjbJ0K6B5DqHa/AKIuLSoBtyzsOIpsBbmnwGVgdP3mzK8iOZBG+YVrDPKQCiN5tHM4Au+fn7XAMPvdFIoNxwe+H7eECqXFCyFhAAXaMYu02xmL/PO/at6AqXvbHYYZy3wc8SLJMuGTo90d4UTPbuNMDKI4SuYMIlrpmz1kEpy4Pqs3/hNjcCvOkKwfsD+4nkPRP30HbMAab3dIYIzODPcjAhC8tPrL/s7R+C6Qte+FImQBHemDtvhxpU/nPULClBJLOWr4Wsxfv502srDl0WHixQLhcsOf23d6QRFDP1NYoFRE1nPT00O6gRxHKcPELqiP8npE27YTs2Bo4E8fDViDUqAi27odvWVG3zz5Z9SpP1srUyBTm6jGQ2zX4HLnlU2HDi5i6hP8hwFlvL993VijLGggZRYYv/5GEn8sB5Y5XoNz1RtTXisXi2jextQPaH3+DuB9/PfQNI4FxRf4gwjLlOhjn38fX2yn3/Rfq7S/ytaqBMs66A23nvgfbuAH6pEZhNtdvZj0CmQDGhX9A+1lv8DTovh9fwVvkRXoWV3HgE2h/vBeKyq8RK58t3nXp0Z6N8xKbW5Dw8UVI+PQSyA99Ee3NGXPcch2ab6yApeT8MbX2P5QBCDZQFkmy2vW8HRgrGhbq8hF3H8uCxJZWSFv2QNJeFe5N7nsmdzgKgPZD3HGM93YPdKkBWz+e+kIRtN/+PPgHi0I6PiGxiGawY5DT5cbbG6oRH6fA6SUp/Y+COO187RFjKb0gdmZfhiKc6UWeIClahapGK/mhL3naoq3wFLh7FBfrXPoXXoHbpUkblm3xzZgHMcPEWjI5B71jMVyKBN6ma9h0CwCtJefz+gFs/Vy42LPmDfh3Vu22dfwZiLgQBtEkzXsgNjXCmTCet9sayuP2eeDnG9CIjUDKL3MhUmm+pH8ikdAr3jMDHIlCYUHpoyXiYOJW/J6/Z4yz7+IFvSL1+mRp7JE06JKeANqRuVVJsKdMgjO+W5ZTpNt09ZzJjVaKOIDE90+H2KJH66XfB1ZccggZPbFSIJCQaKPII0Z7YD/1wyF+/uRfLoK8n0JLIm9K5yhq5TJYK6Hg7mx4ijaNNXGrHuCptvoLv4CjR4BtLT474o8vMrdCZG0XgnvfPg7vRxkrztJywy4Mq24Hkiywdw5ncD+MQik4pN7+Lygr3kPnvN/APPNnYX/croEaWewVE6QAO3oCWd8bQfEfXQBZ3QZ0nPYSbONODeq2suoVkLZV8ircgw4oDrWbRCSfn0HWTwcyg23PXoC2i7/uO2slQgFvz88b3+eOVBHzn7neqvUhfR76irvRGmwyto2aANtoNKKlpQWZmZmQyWLkIGmIFcR9VcTdg3z5j6ZZWl8roTCs36Ee4RER7RHquOW/hfLQ5zAsfiiktDtp/Wa+rs+RPCGmigR2rV2LzPMqq1kLSfsR2DNmBNciK9wCqOLeSzjSKwc6UPcdbMfG+ki/VHXvIBIZVnHLf9fViipqAy9u3p8+lHTbiNbDkChgLr9kWILFQYND32dDkMdAES7IaZ52M6ys1ZU2z+/xojGD3VXfI8CgdwgZPV37i9Zgk7FtxEdlbrcbjzzyCN555x3odDo4nU48/PDDOOGEEzBS2ZxCRM0ywqRiEZye3/tNgeZXHh3L6VmLIpciPixfQuzAhKMZ7PAS93PA43JAXvU/HgTxtMFIPe/dDri62mkF/liKyq+g3vo8TNNujqkAu/v/xVrVSes38bRue97SsNy9cufrnoGJB/sMsBUHPoNq+4uw5S6Bae49iJSQWuaEYSZxoMd1S1V8/blbmYCY4JciPnaKXMYSVivAJ1op4r7BqBBmAyNZV0As4R0/5DWrYc+YDWvJuYjWwCOr7s7qRgRbBDEShSS7cyYW8R8v65RrIJtwBpwp5Rg5M9jBPzf27Plwy7VwhrqUh5BRYsQH2Cyw/uKLL/Dll18iJyeH//7LX/4S33zzDTIyMjBSU8S9s9civu7KPWCKOE+NilC10OFmnnYj/xkN6X1jbQZbZDci/qsb+PmmWyrZ0WHkDxZ8+1gWQjXt/g9apXWbeEsnR3IpjIsfxHBwJozjQT87MJEdW8nTok1uV9gC7MGKz4hNDZA1bOXV2SPKu6+CCLB9B3xDCHRY2j1r8+Xso6cuK5zHfmJG9wEjCrCjwvs5037q87DnLo5yV43QZ7AjNTjQlWId4cGHQT63WPo3+xnwLlr2If7La+FSJqLtQk/RQOfwFja0l5wNJGrg0huB4e4M4/3MDTQzcAivHfP0W4K+DSGj0Yif9mQB9SWXXMKDa+bSSy9FdnY2Pv74Y4xUds+MtYKlhwdUxIvWGPfJHbt9fUe0/g54uv8eyZTK7uluoSwDCCDFXWxu4rMzsqadGC6upGJe6dsy+RqIHOEviDNo6t4wfZ6E1Mc8hIGUnlhLMP1l36OD9XEfSShFPDo87xeXNhtuRXxUt8EX8ARjKOtoAyA2HPOcE42AJUkuSDqOQuLbZjaKqoRTnRaxrBVp4w6otr8MWfVKRFvwM9jewYeRvdySkGga0VN7JpMJBw8exF133eV3+cSJE7Ft2zaM9DXYculgAfbw9K0dqVzaHLSf/i9qsTJMX9ZdKXeKiGZU+B7fZYP+oq94kRt2EBzw7ftLce+zTVeUxiC7P5fDtQ4vQgXjerLlLUH7aS/CFZcZ8G2GVHRnhHNFOqOAhG8pQwxtQ1ff5cjM0Eo664RTQw0iiaV+t539Tr+DHOK2wxBb2+FkAyHq1L7vpI/iqeapN/CfSGFF5uLWPQJz+cU8A0LSsB0wKgB5HiAKX3eISKzBdiSXwzrutNBqdbCijN6Z8tHQ2YaQsRhgt7a2wuVyITnZv29rUlISDh8+HPL9SgcLbCOMhdd5ogb80/U8tO/r+mzTYis9H9YJF8Fwzr9jYpvDRVq9Cqo1j0Bav4VXcu7JMvNW2Mefzs9L6rdBvUJoU9YXy9TrYC89d0S90CWerAXvaSwSSRWwZ82FROTkrztJww6ol/++68tbIo/o61EkEw4W1FuehXXx74Pev2K5cHv5ke8Qt/FJWOZ71hu7HND+93xfpXJ+KpZF/L3l2+dwQGysgWrF/TxFnW+rTBG2x/c+b6qK/0CkToR1urAUQ2RqQdzn10LkOWAWSSSR/Z+TCuBKKuBn4z+5CmJrW59XcyaOh+nkp/h5d1wGX9cnlg1xf7hdUK1+GNLajX4Xs+fbqc2BZe5dsE28BLHwXtffUdu1fcOyRaSvoCRu5R9gPP05nmEy3J/x7LOWEYtFvte9+vvf8LZ1fWG1BDrP/4/wiyfIkcgVEEfw/cyanET08yIuGe44YZlM/Fe3dZs59zx+WyXE5laYFt8P64yb+95GuRDQimydSPxQOCawTrgYtkmXR2yz2Wc3o6j6FrIPz4WkcQcP8GWXfQ2kTsFwshefBWf6VIiSCiGFFdoPL+7/urmLYJn/azimXhnSZ4/qx99Duf0VvhSn45q1GMtGwvEciZwR/b1ttQoH9FKp/78hkUjgcHSrsB0E9kWWmKhBNE1RyfH0eaWY8uU+oOsYy4903EKo01KBtJ9gVOnQAfVb+FlvkNFdHDr4Oiau1Qb0cR3fdSef13XdEUanUyFmpRYCGVMgm3YhNDIloPffD6LE/Mi+hzLGC6cJIT5OpnCgzPqCqkxHofLeh9PR6/UkS84bts8DndQCvL7ILyVYnVUMdbgeP1143sSddVBb67ruV9Lh938rUguhGK73TROb1Wnq809S2Lu247y/A8+sQ1xWcejvaZsReOUMoLNB+OmBpY9qNEpohvkzI6bf62NZcgHQshfS5j2IV4vD/l0S0H5n79nqdKiX3Ao1+6xl2g/0/70n13Z9Xv2+iQfZCWygoJ9Wn0PC7tdphXriKeH7jBpM6x6geX+ff1Jnju9/OzQ5gEzD64R4jyukxcdH9r2eKRQ4Y8E/++FEEsRlFgLaYT4uOeEOfqL0fg4OcNwkTczp+k4cwveMZNJ5UT+WjhX0GT82idysDPcIVVdXh+OOO46vw54xY4bv8oceeggVFRV46623gr5Pp9OFjg4zok3i6ISueSNMZhufpe+rIJIruRSjjtsNScNWiI29D4AZZ8pEuOKFlEmRqRnSOv+ZKL/rJpfBlVCIkYSNdLIPY/YaZK/FmGQ3CX2oPSm+bAZUWrfB92dH5my41SmRe3yXE9Katfy14shbHNprrHYDxJZWuDSZcGZM81zugqzym66riWVw5CwAZGoM1z53N1ZA0naIX+5SJsGZNTt8HQJcDkiPrYXI3gmXLh/O1AnC5Q4zZEd+9M2A8f95mFL7pFXf91tszi3XwZG70Pe7uLlC+MwbwvIDcesBSPQH+348RTwcWXOHrevAiHivj2XWDshq1sGlyYAzfUp09rvTJmRzZc/zXSStWQ+RxROw9SSSwj7uZAwHluUjMjbClVKG4SI9uoIHyT25lUlwDPJZyVLJJS0Vvt9Zhe9wZSX0ye2CpHYj/57hjy8WQ51Tjg5lQXTf7y4HZIe/7f/P7PWeMX1I9y89toYvAYro8zsC0Gf86MM+uwPNSBjRATZryTV9+nTepuuMM87wXX7bbbdBq9Xi0UcfDeE+XWht7f0BPtxYyhUb/dPrjXAMd8VJEjW038ce2udjE+33sYn2+9hE+33soX0++iQlaQIOsEf0wgCWCj579mysXdu1zsNisWDz5s2YP39+VLeNEEIIIYQQQsjYMqLXYDO33norrrnmGt6mi81mv/TSS0hLS/Ob0SaEEEIIIYQQQiJtRM9gM7NmzcKLL76ITZs24bHHHuM9sF999VXI5dQegBBCCCGEEELI8BnxM9jMggUL+A8hhBBCCCGEEBItI34GmxBCCCGEEEIIiQUUYBNCCCGEEEIIIWFAATYhhBBCCCGEEBIGI7oPdiSwp8Plio2nhPVaY325ydhC+33soX0+NtF+H5tov49NtN/HHtrno4tYLIJIJArouhRgE0IIIYQQQgghYUAp4oQQQgghhBBCSBhQgE0IIYQQQgghhIQBBdiEEEIIIYQQQkgYUIBNCCGEEEIIIYSEAQXYhBBCCCGEEEJIGFCATQghhBBCCCGEhAEF2IQQQgghhBBCSBhQgE0IIYQQQgghhIQBBdiEEEIIIYQQQkgYUIBNCCGEEEIIIYSEAQXYhBBCCCGEEEJIGFCATQghhBBCCCGEhAEF2IQQQgghhBBCSBhQgE0IIYQQQgghhIQBBdiEEEIIIYQQQkgYUIBNCCGEEEIIIYSEAQXYhBBCCCGEEEJIGEjDcSejidvthsvlRiwQi0Uxsy1k+NB+H3ton49NtN/HJtrvYxPt97GH9vno258ikSig61KA3QMLaFtbjYg2qVSMxEQNOjpMcDhc0d4cMkxov489tM/HJtrvYxPt97GJ9vvYQ/t89ElK0kAiCSzAphRxQgghhBBCCCEkDCjAJoQQQgghhBBCwoACbEIIIYQQQgghJAwowCaEEEIIIYQQQsKAAmxCCCGEEEIIISQMqIo4IYQQQgghhMQAl8sFp9MR7c0YUyQSKcTi8M07U4BNCCGEEEIIIVHkdrvR0dEKs7mT9kMUqFRx0OmSAu51PeID7D179uDLL79Ea2srCgsLcfHFF0On0/n+fu+998Jms/nd5txzz8XSpUujsLWEEEIIIYQQEjhvcB0Xlwi5XBGWQI8ENrBhs1nR2annv8fHJ2PUB9hffPEFfvvb3+KKK67A9OnT8fXXX+PNN9/ERx99hOTkZDQ0NODjjz/G/fffj/j4eN/t8vLyorrdhBBCCCGEEDIYl8vpC67j4romEcnwYAMaDAuytdrEIaeLx3yA/eSTT+LWW2/FLbfcwn8///zz8ZOf/AQvv/wyfv3rX2P//v1QKpW49NJLaaSHjEgV3/0LaK6AO6kYE0+9KdqbQwghhBBChpHT6fQL9Mjw8z73bP27WCwfvQG2w+HA3XffjdmzZ/suk0gkKC0tRWVlJf/9wIEDGDduHAXXZMQ4vP17OHa+B/W8m5FdNB2qqm8xy7IaaAZWdhzD4luejvYmEkIIIYSQYUZp4aPjuY/pNl1SqRRnnnkm0tLSfJfZ7XZs27aNr8X2BtgsVfyVV17hqeTPPPMMmpqaorjVhPTP7XIhYe2DWND+OUzrXuKXmQtOwWblAn5+Sv17MBsNIQfuFe/ehWP7N9IuIIQQQgghJApiega7L88//zwMBgOuvvpq/jtLEWez2Wx99rRp0/ga7TfeeAPvvPMOn9kOhVQa/XEHiUTsd0pGh+p9mzHFeRAWtwyZZ/6Bv9YmnXojnI5rUfPMbGSjARu+egllp9wa1P06HQ6MW/VzpKAdzd8ugz1/PZQabcT+DxI+9F4fm2i/j02038cm2u9jT7D73OUaXQXNli37Clu2bEJqahquv/5m1NXV4vPPP4Fe34rJk6fi1FPPCGtbrHCSSERDjgVHVIDNipm9+OKLePbZZ5GRkcEvY+uzCwoKUFRUxH+/8MILeZXxxx9/HM8991zQjyEWi5CYqEGs0OlU0d4EEkb7N77CT/dqZmN6SYnf39YWXoDsw89AVvktdLq7grrfXSs/wSS08/MHU0/GeLEFiYnCe4SMDPReH5tov49NtN/HJtrvY0+g+9xikaC5WRyW4C7a1q5djYce+iNuueV2FBQU4vDhg7j55utx5pk/QUlJCd5881WsXPkjHnvsr4glbJCDBf3x8Wpe32tMBNgsuP6///s//POf/8TixYt9l5900km98ucXLVqEDz/8MKTHcblYDzoToo2NeLE3ZUeHGU6nK9qbQ8KgraUOs5o/BUSAc8aN0OuNfn+XZc8CDgPp5oNB73fJ8r/w0zUJZ6P8sr/x8z3vn8Qmeq+PTbTfxyba72MT7fexJ9h9ztpEuVwuOJ1uOBwj+7j/0KFDSE/PwOWXX8N/v/vuX+DEE0/BHXf8iv8+depMXHnlRdi6dSufzY4V7Lln+6C93QSzWSg61x3bn4FmJIyIAJulez/99NN46aWXMGvWLN/lnZ2d+MMf/oAbbrgBEydO9F3e1taGpKSkkB8vll7Y7E0ZS9tDgm+74HI4IJUrUL3+QxSK3DggHo/8qSf32q9J+dOAVcJ5k9EAiTSwUc8OfSPKHXuF+zjx1/R6GaHovT420X4fm2i/j02038eeQPc5C+5Gg88//xjLln2N9vZ2PPjgH3DOOefjzDPPRmlpme86OTm5fEKUpY3HUoDtFY5BjpjPQXj77bd5uvdrr73mF1wzcXFxOHjwIE8FZyMOTFVVFT755BOce+65UdpiQrrs+/KvqHz/V7y4WUblf/hldVmn9vkUaRNSUX3tLmTdfwAKZeDLFOr3/MhPq0S5SM4ogLG9BVXbv6fdQAghhBAywpntzn5/rD0CwYGua7E7Q75uoAoKxiMvLx8qlQpz585HSkoqTjjhJGRn5/iu87//fcO7Qk2aNAWjVUzPYB87dgwPP/wwMjMz+drr7saPH4+f/exneOKJJ3D77bfzauPZ2dnYvHkzTj/9dFx++eVR225CvLPXJUfeQgaasWHnebAUXoSEg88je/G1/T5BcbrgMy8cTfv5aYOmFJnGDuS9OQ0FIjcO5W6GLimddgYhhBBCyAi15O+r+/3bwsIkPH3+JN/vpzy7FpZ+Zl9n5MTjhYu7ZozPfmkD2sz2Pq9bnh6HN66YEfS2Tpo0GTt2bMPevbt5IbPuNm5cjzfeeAXbt2/Fvff+HllZ2RitYjrAlslkeOyxx/r8mzcFnPXE/vLLL7Fr1y60trbylPH8/Pxh3lJCeqs9uBXT0QyjW4Gs0nlQTD0B9uOvg04+eOEEm9UMkUgmnLdZoFCq+71u2dn3YV/TlYh3OaHS6FArTkeOux7NVduhSzqFdg0hhBBCCImq9PR0XHfdTVi/fi2eeuoxpKWlY/bsuaNyr0hjfUewmenByOVyzJgR/CgLIZHUcWA5Pz2gmIxsT4AsGyS4ZqnkWx7/Cco612NT0Z1Ir/oIpc79WJF7O8rPvq/P24jFEiSldw0qtciykGOrh7XlcFj/H0IIIYQQMrxW/GJhv38Ti/zbey27bX6/1+3ZCOzTG+cEfN1wyMsr4D/Tp89ETc0xvPTSc6M2wI75NdiEjFTy1n38tCNpcsC3EYnFsGkyoBZZseTQozy4ZiZXvwG7zRLQfRhVnpSb9upQNpsQQgghhMQIlUzS74+iR0uvga6rlElCvm6obDYbb9m1b1+F3+Wsynhbmx6jFQXYhERInPkYPxUlFgZ1u6Lz/+g7b3IrsCL9WjRfuKzP2e+aA5tR+9LZ2PvFU77L7HFCgK3oFB6fEEIIIYSQ4SaXy1Fbewyvvvoi3G6hUnprawu+//5bLFiwaNTuEAqwCYmQFHsdP1WmBBdgp2TkYmXJ79GERGwq/TXKL3gICWm5fV63veI7TLVtgbZuhe8ySaKQLq611g5p+wkhhBBCCBmK3/3u/1BdfRRXXXUx7rvvblx++YWYPHkKbrnl56P2iY3pNdiEjFQOmxUp7la+iCU+syTo2086/TY4Tr4F5YNcT9uwnp92pHWtYVGlFPDTZEd90I9LCCGEEEJIqBYsWITc3Fy/vtevv/4udu/ehfb2Ntx66y94K6/RjAJsQiLxxpIr0HDDXrTWHkRGcuaQ76/ih1cRf+ADmGf9DONmnMYvczjsKLbs4EG8tuQ433UTs8uwKulCuOLzBw3QCSGEEEIICZeCgkL+051UKsXUqdPGzJNMATYhEcJaa2WOmxKW+5IcW4cp9m3Yv+ERWMoWQqnWonb/RswUmdHh1iCraJbvutqEVJRe2rUmmxBCCCGEEDI8aA02ISNBkdDPusR5EMf++0t+3lixjJ8eUE2BREpjZYQQQgghhEQbBdiERMDer/6Og2/cgEMbvwjL/WVNOt53fr7ha7Q11yCn4Vv+uzHvpF7XN7Q14ejuVWisFlqFEUIIIYQQQiKPAmxCIiChehkPhG368PSi1miTsCrxp77f6797Ci3KfBjdSmTPOq/X9eu+eBAzf7wErWtfCcvjE0IIIYQQQgZHeaWEhJnb5UKOvZKf1+SEZw02U3rZ37DtwFXorNuH0kWXQCQWo8mgh06b2Ou6Dl0O0AYsbnoLq1fPRMnCi8K2HYQQQgghhJC+0Qw2IWHWXHcQSeiA3S1BemH4Amwmu3gmSpdcxoNrRtNHcM2ocqb7zhdue4QH/YQQQgghhJDIogCbkDBr3vMDPz0oK4FCFReV57dg6klYN+cFfj4Ljag9tDUq20EIIYQQQshYQgE2IWGmqFnLT5uTZkftuWUz3ONnn4k90gn8986aPVHbFkIIIYQQQsYKCrAJCSOWil1g3MLPy8Ytjvpza1Bm8VNn25FobwohhBBCCCGjHhU5IySMOjtaALEWVqcBOROWRP25dU+8CCta5iCxeGG0N4UQQgghhIwBX331ObZs2YTU1DTcdNNtqKk5hs8++xh6fSsmT56C00//CSQSyYD3sWbNKpjNZpx44slD3p73338XEydOwoQJkzAcaAabkDDSJqRCe+tq1F29GQqVJurP7fhZZ6D81NuQOW4qqrZ/D6OhNdqbRAghhBBCRqm1a1fhz3/+PxQWjsPEiZNx4MA+XHPNZbDbbSgvn4h33vk37rvvVwPeR3t7G55++nFMm9ZVtHcoJk+eir/85UHY7XYMBwqwCYkA1rc6ltRV7kDRqttxdPVb0d4UQgghhBAySh05UoX09AxcdtlVWLhwMZ577p845ZTT8POf34Vzz/0p/vznJ7BmzUrs2LGt3/t4+eUXsHjxcUhOTgnLNpWVlSMzMwsffPAfDAdKESckjOuv7XYr5ApVzD2nbTs/xxQYsOTQo9j54lfQXPQ6n20nhBBCCCEkHD755EN8882XaG9vx/3334dzz70A55xzPkpKSn3XYYGuSCRCfX09pvTRzVav1+OLLz7Fs8++7LvMarXwtPN9+yoQF6fFhAkTsXTpCRB72tYO9nfm5JNPw3PP/QMXXHAJpNLIhsA0g01ImBzbvwHJL01A9b9+GnN9p7MWXYM6CAH1ZPsOHFv972hvEiGEEEIIGYzd1P+PwxLEdc2hXzdALJAuLBwPlUrFZ6DZTPbSpcfzoNpr2bIveYDL1mL3Zfny75CYmITS0jLfZQ888DseuLOU87S0dPzjH0/h+ef/GfDfmYULl/A14Nu2CcWII4lmsAkJk85dX0ApssMllvE2WbEkPjkL1utWYtM7N2CWeRUSa/4H4JfR3ixCCCGEEDKA1BdL+v2bNf8EdJz1hu/3lFemQtRPcGzLmof28/7r+z35jXkQW/quzWNPm4q2C78Ier+wNdZFRSXYvXsnTjrpVL+/bdiwDq+99i/s3Lkd9933R7+gu7utW7fwlG4vh8OB1atX4pFH/ooFCxbxy2bNmoOGhvqA/u6lVquRl1eArVs3879HEgXYhIRJQutWfmrKEt7csUahioPi+N8BX56OEtseNFlMUCjV0d4sQgghhBAyymVmZuGWW36G9evX4sknH0FKSirmzJnX63osMGaBuheb7Z4+fRYeeuiPOPHEUzBv3nzMmDGbF1EL5O/dpaWl9Qq8I4ECbELCwOVyosC2HxAB2nFzY/Y5Tc+fiGYkIEXUhpo9qzBuxinR3iRCCCGEENKPppv29//ciPwzJpuv2z7AdUV+v7ZctS7g64ZDbm4e/5kyZRqOHTuKl156rs8Am7Xmkslkfpc9/vjT+PjjD/hM9ZdffsrXcN9668/5eupA/u4ll8thNpsQaRRgExIG9Yd3YqrIBLNbjoyCvteUxAKWur5n3E2AVIHsgsnR3hxCCCGEEDIQmTr61w2RzWbjLbsuueRylJVN8F2empqOvXv39HmbxMREGAwdvQLjiy66lP+wAPyNN17B3/72JI477iSkpKQM+ncvVnytoKD3zHa4xdZCUUJGqPaDq/npQXkZpHIFYln56b9A+ck3Q5eUGe1NIYQQQggho5RcLkdjYwNeeeUluDwFgJubm/Hdd8t40bG+5OXl49ixat/vLS3NvCJ5Tc0x/jsroFZUVAyJRAK5XDbo37urra1Bfn4BIo1msAkJA3n9Jn6qT5qODHpGCSGEEEIIwe9+9wB+85u7cMUVFyInJxc7dmznxchuueX2Pp+d+fMX4csvP+PFy9j6atYLW6vV4frrr+Tp5U6nEzt2bMXtt98JnS6e32awvzN1dbU82PcWQoskCrAJCYLT4UD9qz9Flu0wKuc+gvGzzuCX2zLnYsvRDijHLx0R68Wrtn0La3MVxi+9Oib7dhNCCCGEkJFn0aLFKCgo9P2enZ2DV199GxUVe9He3oY77vgVv6w/rMI3C4zZemrW4ov51a/uw2WXXYWqqsN8Jvx3v7sfSUnJvtsM9nfm+++/xdSp0wd87HChAJuQINRVbsN022bhzbP+blTHZyCreAbKT7kFAPuJfSKIMGnN7dCIrNhZshgZBV2VGgkhhBBCCAlVXl4B/+mOzURPmhRY7R9W4Ozyy6/GJ5986AuwmaysbP7Tn4H+zoLuzz77BHfd9WsMB1qDTUgQOo/t8J1PggFTl52NvV/7N7KPdazQWaM4nZ83Nh2O9uYQQgghhBDic84558NgaMf27UIL3KFiKedFRUV9Vi2PBAqwCQlG425+slG9BE1IFC5zOUbcc6iXCwXObK1Hor0phBBCCCGE+M14P/TQY7xIWrh6cN9zz28xXChFnJAgpC69HWuqFkCVnAdrbjn2tNYiT5c64p5DsyoLsAKi9qPR3hRCCCGEEEL8ZGRk8J9wmDlzNoYTBdiEBCE5cxz/8UrNLhmRz59Dlwu0AQpjTbQ3hRBCCCGEkFFjRATYFosFGzZsQGtrK8aNG4cpU6b0Wri+bt06NDQ0YOLEiSgpGZlBDyHDRZKYDxwFdNY6etIJIYQQQggZKwF2RUUFbrzxRp4ikJ+fjyeeeAITJkzAM888w6vMdXZ24rrrroPBYEBxcTEeeughXHPNNfjFL34R7U0no4y+8Sjq17wOSdoElCz4KUYyluLOJDqbor0phBBCCCEEgNvtpudhFDz3MR9g//73v8fSpUvxpz/9if/OZrHPOussvPnmmzywfu6552C32/Hxxx9DoVBg27ZtuOyyy3DSSSfxQJyQcGk+tBFLal7AwbpCYIQH2Mk5ZVhR+kfIE3MxPtobQwghhBAyhkkkEn5qs1khlyuivTljks1m5acSiXR0B9gOhwOTJk3CxRdf7LssKSkJc+fOxZYtW3iA/cUXX+Daa6/lwTUzbdo0nkL++eefU4BNwsrefJCftirzET/Cn1uNNhHlJ90U7c0ghBBCCBnzxGIJVKo4dHbq+XPBgmyRSDTmn5fhmrlmwTV77tk+EIvFozvAZiXaH3jggV6XV1VVoby8HG1tbairq+N9zbobP348Ty0nJJxk7UJLK4s2n55YQgghhBASNjpdEj/1BtlkeLHg2rsPRnWA3ZdvvvmGB88s8G5vb+eX6XQ6v+totVrs3bs35MeQSqPfHlwiEfudkuhT2Fr4qUibEbHXyHDu9yO7V6Pz2C4kjJuL7OJpEX880jd6r49NtN/HJtrvYxPt97En1H2enJwKlysJDoeTza1GaOuIPxGkUgnPIgiXERVgs6D5t7/9Le68805MnToVlZWV/PKeU/lDSakQi0VITNQgVuh0qmhvAvFQO4QRRU1yZsRfI8Ox3yvXP4dFhu+xznkXEucsjPjjkYHRe31sov0+NtF+H5tov489tM/HphETYLNZa7bm+qqrrsLNN9/sN3NtMpn8rms0GhEXFxfS47hcbnR0+N9fNLARL/am7Ogww+l0RXtzCAusHW38eXDJE6HXG0f8fjcr0wED4Gg9FrH/hwyO3utjE+33sYn2+9hE+33soX0++rDj80AzEkZEgL1jxw7equuWW27hBc28UlJSEB8fj6NHj2L27Nm+y6urq3utyw6GwxE7AS0LsmJpe8ayeLewJEEelxLxfTIc+92pyQSaAKWpjl5jMYDe62MT7fexifb72ET7feyhfT42xfwC361bt/KZ63vvvdcvuPY6/vjj8eWXX/p6l7GiZ5s3b8YJJ5wQha0lo9mhE1/H2tnPIikz9MGbWCKJz+ancbbGaG8KIYQQQggho0LYZrDvvvtuNDaGdqD+xBNPID09vdflHR0duPXWW5GVlQWr1Yp33nnH97e0tDSceOKJ+NnPfoYLL7yQz26zFl0ffPABjjvuOCxatGhI/w8hPeWWzRtVT4oqKZefJjqbo70phBBCCCGEjArScKZxJyQkQKlUBnW77du3w2Kx9Pm3hoYGnHLKKfx8z6rg3tvk5ubi008/xYcffgi9Xo877rgDZ5xxRsj/ByFjhS5FCLBT3K1odNghlcqivUmEEEIIIYSMaGFdg81movPzg+sRfPLJJ/f7t+LiYjz44IOD3gebzWYz2IRESsORvWjd9jEkqUUoWXDhqHiitUmZsLslkImcaG+uQXJGQbQ3iRBCCCGEkBEtbAE2S9Pu2Y86krcjZDi1VW7EkmPPYFf9ZGCUBNgSqRTrJ/8JUk0ycuJTor05hBBCCCGEjHhhC7BvuummYb0dIcPJaRLWKVtkCaPqiS9demW0N4EQQgghhJBRI2JVxN9//320tLTw8+3t7bjhhhswZ84c/OIXv+DFywgZSURm4bVsVSRFe1MIIYQQQgghYynAZgXH7r//fl8hsmeffRbr1q3jrbN27dqFBx54IBIPS0jESC2t/NSpHF0Bdn3Vbuz99gUc2vh5tDeFEEIIIYSQES+sRc68vvjiC/z+979HdrbQZ/frr7/G1VdfjXvuuQf19fU47bTTeNsthUIRiYcnJOzkNj0/datG11rl1t1fY2nVU9ioXgLMPivam0MIIYQQQsiIFpEZ7Lq6Op4Ozhw4cIAH1d52WxkZGYiPj/eljxMyEqjtwgy2JG50BdhSXRY/1Vobor0phBBCCCGEjHgRCbC1Wi3vSc3873//41XCJ02axH93uVzo7OxEXFxcJB6akIjQONv5qSwudVQ9w8qkHH6a4KQBL0IIIYQQQmIyRXz27Nl49NFHce655+Lll1/mva4lEgn/23vvvcdnsKk1FxlJ2k5+DrVtNcgYPwOjiSY5l58mu/VodTkhFgvvU0IIIYQQQkiMzGCz1ltKpRIPPfQQUlJSeOVwr1deeQU///nPI/GwhERMVvEMFM3+CeJGWb/o+JRsON0iyEROtLfUR3tzCCGEEEIIGdEiMoPNZqf//e9/8zRxNlstFnfF8WxGOzdXmDUjhESXVCpDqygBqdCjs6UaialCYUJCCCGEEEJIFGewf/vb3+K1117D4cOHfZclJib6BdcMBddkpGmpq8Sej/+E/SvfwWiklyTzU4u+JtqbQgghhBBCyIgWthnsKVOm8PZcjz/+OG/PtXTpUhx33HF8PbZcLg/XwxAy7FqrtmFpzfM4UDceWHzpqNsDbXN/i3UOO9LHz4r2phBCCCGEEDKihS3AvuSSS/iPwWDAqlWr8OOPP+JXv/oVLBYLFixYwIPtJUuWID09PVwPSciwcLTX8lODLAUJo/A5L5wutNAjhBBCCCGExNgabNai6/TTT+c/rCXXzp078cMPP+Dtt9/GH/7wB5SXl/PZ7RtvvBEajSbcD09I+HXW8ROLkgaHCCGEEEIIIcNc5MyLrb+eOnUq/7nzzjvR0NCA5cuX89nt9vZ2CrDJiCAzN/FThzoNo1H94Z3QH1gFWUI2iuacHe3NIYQQQgghZMSKWIDtdrvR2NjIK4mz816TJ0/mP6x9FyEjgczewU/dqiSMRq0VP2Bp5WPYpFoEUIBNCCGEEEJIbAXYVVVVuP3223Hw4MF+r7Ns2TLk5+dH4uEJCSuFw8BPJcrRuAIbkKgT+anK3hbtTSGEEEIIIWREi0iA/dRTT/HTRx99lPfB7kta2uhMtyWjj9IpBNhidd+v5ZFOqhHadKmdwkw9IYQQQgghJIYC7MrKSjzwwAO8RRchI53ppKexrr0e6eNmYjRS6FL5qdbdga7FHIQQQgghhJCYCLAzMjJ4ey5CRoOs4hkYzVRaYQZb5zagzeWCSCyO9iYRQgghhBAyIkXkSPq6667DY489hi1btsBms0XiIQghYRKXICzXkIucMJsoTZwQQgghhJCYmsEuKCiA0WjEpZdeyn+XSCS9rvP1118jLy8vEg9PSNhYzZ2oXPYPQBmP0pNvhljc+7U80ilUcbC4ZVCK7DC2N0MdNzqLuRFCCCGEEDIiA+wnnngCnZ2duOiii5CU1HdrI51OF4mHJiSs2ptrsOTYMzwANZx626h9djdPfxQSuQY5SRnR3hRCCCGEEEJGrIgE2Pv27cPjjz+OpUuXRuLuCRk2nc1H+WmTOAXKUfy8lyy8KNqbQAghhBBCyIgXkTXYWq0WCQmUZkpGPpu+mp+2Samt3HCp2rkCR3evGrbHI4QQQgghJKYD7DPPPBP//Oc/+TpsQkYyd0cNPzUqR3fqNAto9y57DtUV66K6HRU/vIrZKy7DzB8vwf7V72Ek0DcehcNmjfZmEEIIIYSQ0Zoi3traio0bN2LRokUoKiqCWq2GSCTyu86jjz6K9PT0SDw8IWEj7azjpzZ15qh+Vq1b38KS9s+wwnAtUDZvWB/78PbvYT62DXC7MPnIy77LtbvfAGI4dZ0NSCw58DBYF/FdsslIveHzUVkEjxBCCCGERDnAPnLkCCZPnuz73eVyReJhCIk4qV1oW+VWJY7qZ9upEP4/iUU/rI/b3lKLaSuv5S3CuluRfg2SZl+OWOV2uTD5wN99v0+y78SqVe+idEnsbjMhhBBCCBmhAfaTTz4ZibslZNhJnWZ+KpKqRvWz7x1AkNnahvVxdYkZOHDOMji/uhsWWQIcUjXU829FedF0xLL6qp2YAgM/f0hcgBZVIdRp43Fo81eQKeOQN3FxtDeREEIIIYSM5ACbrbm+7LLL+m3LFe7bETIcZCc+gPX6OqRnl47qJ1ykEt5/Ckf78D6uWIy03FLgps8xkrRV/MBPd8imIfOmz8GaDla+dg3mGf8Hu1uCNYduhSJrChS6VGQXzeT/JyGEEEIIGf3CdtT3ySefwGAwDNvtCBkOGYWTMW7GKUhKzx/VT7hEIwTY6mEMsF0u/7Tw7uoP78Teb57FoU1fIibZTehwq9GWNtd3Ufp5T/KAWyZyYmn1PzFv/U2Y/u15SHsuD/t+fBNVO37E3q//CYfDHtVNJ4QQQgghIyRF/Je//CUUCkVQt2loaAj4uk6nE01NTcjI8K/oXF1d3WudN5sRZ+3CCCGDU8QL7ymda3hSxPcuex6z9j8OtciK5dm3IP/4W6GJT/b9Xb/9YyypeQHr604CZp2BWFN+zm9hcvwa4+wW32Vs+50XvIxtH9wEnaMZOc5jvrXlzrYjMLUdwdKa57GiswHlFzwUxa0nhBBCCCExH2DPmjULjY2NQd9u9uzZUKkCW9/6zDPP4Mcff8SHH37ou8xqteLUU0/lFcml0q5/59Zbb8X5558f9PYQ0h2bRYXLgey5F0KXNHoriWsShf8tyd2OVpczotWw2xqrMX3/kzy4ZljQWSW+3e86kuQioAZIsBxBrJJIpZBI4/wu0yWlQ3fjJ/x8i82K/d88DXlqGSbMOwd7P/0Lv3xe/RvYunUJxk0/OSrbTQghhBBCRkCA/Ze/CAePkfLiiy/yAHvixIl+lx86dIjPbH/22WeIi/M/2CVkqCYd/CeS0IHtRYtGdYAdn5SJlRMehjw+HfkudxgXj/TW+O1jKBYJxePgaXGVrvWv0q7JLAN2AFmOYzC7XCNyDbNUrsCEn9zr+73srHux9ZUNmG7diLS19wMUYBNCCCGEjDoRqSIeTu3t7bjttttw4MABPtttMpn8/r5//36eMk7BNYkEpdsKiACpUjOqn2AWDJYdf/WwPFZ850F+uiL9alblDNnH/6zXdVJySuFyi6AVmVHXUofE1GzEior37kVZ05fYm38Vys+6J+DbsUEC+Sl/AT47CTmuGjQ77JBKZRHdVkJ6Ls1Q1K6DfMHtyCmZTU8OIYQQEgExPy3U0dGBkpISfPHFF5g2bVqvv7PAe/z48XwNNktRZ7PZhISrCJc3jVmuouyIcNFd8R9sPfkjZJ94B8p/+hBPq+5JoVSjTpTGz+uP7UEsURhrkAo93G530LdNziqCzS3hhdDaGo9GZPsI6U9G5buYa/wfOg6s8PVzJ4QQQsgYm8HOzc3F/fff3+/fWYB95MgRHH/88bDb7TAajbjuuuvw85//HOIQ00ql0uiPO0gkYr9TMvwsRqPvvEarG5bXRTT3++EdP8J4bBfix89DbumsiD2ONj4B2viu6tv9qVHkIdvaAFvTAUilpyJWaGxN/FSakB30a0IqlaNBnIZcdx2MTZXIyCum9/oYNdzv9abaQyhxHoTTLUL+wstR8dXTKDj8FvSnvhDR9zvxR9/tYxPt97GH9vnYFvMB9mAsFgtmzJiBBx98kBdLW79+PW666SbEx8fjmmuuCfr+xGIREhNjJx1YpwusABwJvxab3nc+IzMdYknkCn/Fwn4/tPkVLO74H9a570TivKWItn26AqBpI6SdR2PmPcln/BzCzHNqQXlI21WtyIHKYobEZfK7Pb3Xx6bh2u8HV6wSTmWlKC0uhv6jNXyg51jFVzHxfh9r6P0+NtF+H3ton49NIz7AfuONN/x+nzt3Ls455xx8/PHHIQXYLpcbHR3+67yjNfLF3pQdHWY4nZTGFw1NDY1gjaNMbgWsHV3tmEbrfrfIhTZZjrY66PVds/fhdGD9Z3Du/QzuwuNRvvTSAa8bv+AmbGo9C8kZ4yK2PcFqqN6HMhhgc0sRnzUxpO3KufEjvh67gKW/6430Xh+jhvO9zpa7lG95kNeTaIqfgjS9EZ2ZC4FDa5Bz5GM01P8KcgUN5g4H+m4fm2i/jz20z0cf9p0daNZZ2AJs1j6LpWcH6rjjjoNGM7RZKZYSXltby4ucde+/nZqayoujhcrhiJ2Alh14xdL2jCXWTgM/tYgUcA7zPojGfneqUvmpzNwcsce2HlqBxe2fY3WVGI6FFw943ZSccv7DxMp7oOXQVn5aJS1AokQR+nb1sfaV3utj03Ds98Nbv8Ucb+X+7Fn88VKn/gS2g08hF3VY8d2rKD/llohuA/FH7/exifb72EP7fGwKW4D98MMP4+jRwIv2LFu2bMgBNits9pOf/AT33XcfLr20azZsw4YNmDx58pDum0Qe64ccl5QRs5WUEzLHYd3cF1leMMZj9BNrhWJjKltLxB5D0yFUEHcklmIkchrq+alBlgb/xmKExC5Lw37f+aL5F/HT5MxxWJ92MRY3vQVl7WoAFGATQgghMRVgv/7663xGmTl48CDuvvtuXmjslFNO8c0o79ixA08++SROPfVU5OXlDfkx2az1lVdeiaeffhoJCQm8INoHH3yAXbt24f333w/Df0UiZf/KdzB/+6+xSbMUhdf+OyafaHVcAsbPOgNjhUyXwU/jHUIRr0hIt1bxU2XmhEGv21JXiYatn0GsiEPZidcjFkjiUrFDNg3GxMG3vz+VW5ZBs/EpdGgKUXzFs2HdPkL6klCyGMudNkjis1Eq7fraVxSfCDS9hXHGrXzAeiT2myeEEEJGbYCdlZXlO//oo4/irrvuwlVXXeW7TKlU4uSTT0Z5eTmfdb799tshl8uDeozExERkZmb6XcYCeRZYv/POO2htbUVxcTHeffddFBUVheG/IpFSvOMvEIvcmGP6EVsq1iG3bB492VGmTRvHT9NdjWh3OSEWh7eom9nYgTw08PMp+VMGvX5bTQWWHn4cleI8IEYC7JLFlwKLL4X/p1BwnFYDJjl2Yn+nJ2WXkAjLHDeV//SUVb4I1tUyJKAD++sqkZpN35uEEEJITBY5Y22zWADdl5ycHB5Ys2CYrZ0OxvXXX89/umOtuC655BL+Q0aGppr9mIBW3++d+74HYjDArj+8E/p9yyFPGTcmZrKTMsfB4RZDKbLjSNMxJKXnh/X+a/euAstbaUByn72ve5KpdPxU5Yp+0cFwkmuF/t5aZ+h1IggJB9ZvvkIxGW1ZS1GWWUhPKiGEEBIGEckHY7PZbI11X5YvXw6n04mUlJRIPDQZAZr3/OD3u6ZZKBwVa/QHVmHJoUcg3/YyxgK2Fn7dlEewYdEb0MQLBc/CyX5YaBNUFTc9oOvLNQn8VOOOnQCbVWMeKkWcsHpb446Nyuhk9Nu36j84unslHDZrr7+pz3kG5af/MuwZK4QQQshYFZEZbJYaznpRV1VV4cQTT/Stwd60aRNfG81mt6Xd1oGRMcZpRwOScDDxOCQffyeS1fGIRW6bEAA5JGOnfU3pkssidt9yUy0/tabNCOj6Co0QiMbBDEuMrA/tfGEpklwtOLj4ORRMOS6k+1Bpk/ipTmRCvcMBqTS4pTKEBMNiMmDR9rv5+aqc7ZDKuzpuMAlpufSEEkIIIWEUkSh38eLFeOKJJ/ha7K+//tp3eVxcHG677TYefJOxq/y0n8Htug0FdmtM914V2YWZU6dUHe1NGRXGXf0ajnS2oUAUWKCsjhMGXthafbOpgxediza1qxOJMEA8hKBY5ZnBZszGNiiUQso4IZGgr68EC6E73Gpo4oVe9z3ZbRZUv30z4i3HEHf1J1Co4mhnEEIIISGK2DTymWeeiTPOOAP79+9HU1MTdDodysrKgi5sRkYGq8WEyh/+xavUliz4aZ/X6Wht4LMnLFBis5GxHFz7BdhjaAabrY9v3rkMYoUOpcd3FSkMl2CCZLlCDbtbApnICYuxPSYCbI3bDIgAuUob8n2w173ZLYdKZIO5sxUJyRRgk8jpbKzkp42SdPSXKySTK1FmXId4GLH92H5kFQeWZUIIIYSQ3iKWc2mxWPDyyy/jT3/6Ex566CEkJyfzWW3WqouMPpVfPIollY9h4dY7sG/l273//tpVGP/OTFQtf9m3jrWlvgoV796Fvf/9HWKRyCFUeXZLx06A3Vq5ia87n7znYZ5aGk1sEMYoEp57qzH6BcHcLhc0EAZdFJqhLWvQixLQjHjYLbGzvpyMTvbWo/y0XT5w7ft6idAJxNBwYFi2ixBCCBmtIjKD3dnZyftT79u3DyUlJWhoaIDD4eDBNWun9fzzz2PhwoWReGgSBSy9cEL9f32/F+14DFW6DDgdVoh2vgObJhsKt4v/bWnVU9A/9y/snvRbaLMmYnHLezzQcOPhmNt3EqcnwJaNnRTxzInHw7RdgXiREdtXvonyU28Ly/0eWPsBtDtfhj7reJSfdU/At6uY8yTEUhkyM6Jf4dhmNUEicvPzCrVQ4TxUstu3gN1TV3NDQiJD3CEE2GZN9oDX06sLAcMBuOp3AriYdgchhBASSzPY//rXv3il8G+++QYff/wxL3LGvPXWW7jiiivw5z//ORIPS6Lk0Or/IAXt0EOL9ZqTkIFmzF51FeatuxFzjd9jceObsCSW+q7P1rDKdBmQKoXAVem2xeS+kziE2UW3XIOxQpeUiU0ZQss7Ze2asN2vo3YbJtt3QKYPbnZs/OwzUTj9FCjVwaVk7/n8CRzduxbhZOoUZtFdblHQ20NItKhMNfzUqR24mJk1dRo/Hd/wFQ6s+wjtLUJRQkIIIYTEQIC9cuVK3HfffcjN9f9Cl0gkuPvuu1FfXw+DIbrppyR8Uvb/m5/uzLwI4655DRXnr8CKrBt9f2cVw7OXdBW2a4cG+ZOPh1whBK5KWHn6bayRzf8FVk/9K1Imn4mxRDFuMT/NNu0N330aqvmpXVeASHM6HJhb9Qzyv78RHfrGsN2vzdTBT41QUksjMmJobQ38VJo4cICdULKEn2ajAQs2/xzW/143LNtHCCGEjDYRSRG3Wq1QKpV9/o0F2YzJZIJWS7NAIx0LjBvzfgJjXTIyF93AL0vOHAdT+alA7Uv890rtHBQlpWOPdAKK7Puxc9qDKJVKIVMJAbZU5ILDYeOFdmJJTtkcAOxnbInPLOGnae5mtDgckIShpZ7CrhfOaILrr3146zKY6yugG78AOSWzArpNW9NRZIjskLvb4fC0xAoHkViEnbKpcIjlyBnife39/HEk13yH1uKLMOkU4X1DSCS0TrsTy1urkF44c8DrZY2fhhXFv0da5ftojStB/oV/pR1CCCGExEqAXV5ezguc/e1vf/MF1F4sZVyhUCAtjSrnjgasENWE038BgP10yS6ZjZrv0vlsiHLezfyy+Gs+QbXJgNJEYd8rPDPYjM1sjLkAe6xKSM2DzS2BXOTkwSobMBkqjaONn0rjUoK6nXv7v7HU+D2WO34BBBhgdzRW8dM6URqcVhOOrvkcBbPPHnLrobTcMuCmLxAOkvYjmOjYhRWtAwc9hAxV0bxzAr5u+Sm3ALgFfTfzCr6zhEQs6dV3mxASOWZjBxQqDWVZETIaA+wbbrgBF110Ec455xycdtppMBqNWLZsGSorK3mAfe+990IkEkXioUmMEIslaD/3P2g0tCKnZLavPVH31lzswMvbhslmNUITlsO68Nm/8h24HXZkTj2Zr00eK9iMdYM4DRq3Eab2xrAE2FqXsH5ZoQ1uBtshE4JikTXwJSXW5sP8tFWWgYTXT8Qidx3WqeL5eu5Y4VQIVcglViHtnJBQsocOb/8Ojs5mZEw6ETrPwGU473/f8tehOvwNEs75K+KTAy/Jd2D9Jyjf9BvYIEfTue8jNVvIiulP1Y4fkFk8hwcGhJDQ7F/zPmZu+TVqJDmQXvlZTLS2JGSsisga7NLSUj6DzfzjH/9AS0sLb9HFguxf/vKXuOaaayLxsCQKKrcsQ13ldjgc9l5/S80u8qRZ988CoS96LLYrKtzxOBbt+S30tQcx1oivXwHn7XuQWzYvLPcX7xYCSVVCcEGASyoccIvtnQHfxm0QijMZlRmo0Uzi5+2HVwb1uH3ebxjrBLgVQhVyqZ1qUYw1NquZ95sf6uupcus3mLvmWizccQ/i3z4B+kahWnh3RkMrHyis2vFjSNlJ6ftexyzzKtRt+zLg2+1f9R7mbfwZL2aZjha0rBaOBfpTe2ALJq64AYc/j71OEoSMJKk7noFSZIdTJEHLsYpobw4hY1pEZrCZWbNm4fPPP8exY8fQ2NgItVqNcePGQS4XAioyOoxf+0teQXzzce8ib+KioG9fddZHkMiUSEoduABPNChh4aeybqnsY0X3TINwpIrKRHKoYENcQkZQt/W2SBN7WqYFQmxp5ad2RRLcCYXAwW+ha9+Doar45E+YWvsWdqSdj7IL/zKk+xJ5ZrDlDprBHktYAT7LK6dgguswVqVdiUW3/TPk+7IfWu47n4I27P3xGSRe9KjfdVqO7uYBeB1SgCnbgn6MxoTpKGk5CFHjroBvo9r3HsSednb8984jfV7v0OvXwiFPgEuug1pkRWHTMrhdf+KB/UjBBjX0X/4B4hnXoGDK8dHeHDKGsUmOfMcRQATYz3geuXll0d4kQsa0iH2TWSwW3q6LVRNnP6ygGZvFZr2wyehgMRl4cM0k55SHdB8ZBZP4THcsrtNTuq38VKYe2trdsU6hVMN+ewXqbj4MZZDroL0BtsQReIAttQrrvd3KRKgyhddluq337F6wJKYmxMM45Pvh96USAmyFM/CZeTLyHd70Bca7hCUMsxreRdXeTSHfV/ysS7Gi8FdYlfhT/vviprdge2am32y1qUFoi9cmDW5phpc7dSI/TTDsC/g2mZZD/HRF+rWokJTCpBvf53fHbMP/sKj1fSTOvAhWtww57nrUHtqKkcT28c2Ya/wOtk5hUG+kOfTGdWh84TRYzfQ5NNI1HtkNhcgOo1uJlJziaG8OIWNeRALszs5OXHrppfjrX//K23E1NDTA4XDw4Pryyy/H6tWrx/wTPxq0NQjFpAxuFTTxsbV+eqhcLiefVWHkyrEXYO9f/R7qXjwLez+4P2z3KZXKgp6dEnkCbGkQM9iiyRdjRf4d0JQcj6RcIUBgvdlZ8ZehUFib+albPfS1rhK1sDZORQH2mCLe95HvPEvlFL1/Dew24XMmWJnjpqL8jDtRcslT2KYQCgCmulvg2Ca0TWSkx4Re9s2JM0J6jLjcqfw0z3aIz74HMotWoypDtSgTuSffgeRbvkP5Bb1Tv+sObIRE5OYtHDMKJmK3Sij2l7XsWhzds4anz+/97++Q+kwOT6ePRXWVOzDJvhNOtwia1Mi3Hwy3xqMVmGdYxostVv74SrQ3hwxR+0HhvV4lEwa0wtmikhASIwE2m7l2Op345ptveFGz1FRh9Pytt97CFVdcgT//+c+ReFgyzIzNwqxgszi02RFm77LnUPGfe/g6vFhi67YmXKEae+3knJ3NmGLfhjh94KmhkSCSe1q5uQIPsMfNOA3lZ92DvPL5vPBTh1sI0tsb+05VDZTa3sJPxdp0DJVckwiLWwY3FXscM9gsYblBOAheNfVJ6KGFXSSHvmFor0s2aJV53QfYcfoXaLx+F4qu+pdvkLDIsJ6flxUKve2DlTFuGh9A1YlMqD24KaBBtPzr3oHyto2Ii++/Y4DliLBd1Uohw8Qx4yZ+moZWiNY8iQNr/oslDa/zy/RHtiMWte0XUvR3y6ciu3gmf74dIQ6WREPLjs985+OPfRvVbSFDp6xby0/tEhUSni2C/J3YKepJyFgUkQB75cqVPC08N9d/XS1r2XX33Xejvr6ez2yTkc2mr+an7fLQZ/SSDn+Kxc3vwFC3F7HEau56fcqVQoA2lkg81b7VnvZaQ3Fg3Ud8NnzPx38K+rap5cdh9fS/wbHotyE/vlkktH+zW4eW3q11Cr28FfHBrSPvCyseZ/jZYWhvpWyesUKuUKNi4T+xJv5sFC+4ANabt6DoD1uQljtwhe2+7PnsMez9+p9ob6n1dW1gM9reVnR7v3wazudmIxV6HiDnTT0ppG1mAfMB5RR+3nAotNeq1WxEW3ON73c2O51TIwR3pgyhiGLh9FOwZsbf+PmJli3I3Pm07/rOjgbEIlmjEPi3JU3F/rd+Du2zJah8/y6MFJpxC7FVIRQhLbbugd0m1BwhI1O6Scj0aE+ZxVPF5Z4lboSQURRgW61WKJV99zT29sU2mWKvajQJjqhdmHkxKQNv39KTQyKsvXbZYuv1YLMIa9JMbsWY7Ccp1wgp/xrX0Itw2Zv289lwZVvwqZ6sRVjJgp/y2ehAHdz4GY7sWuk7YNxX+jOsGP8b6FLzMBRJLiHAVieG/nonYxebaWaBZPEVz/LPFIUy9OKJJUffxpJDj0DfT6VgUWcdsiCkiG7Nuhwyed/fx4HoTJgAl1sEcWf9gNdjM7g1Bzb7pZKzQYC0lyeg9Yvf+S5rqT+Mca6jvEVj3qKrfJcXzT0PleI8HJHm87+z1Ou95y1H+Wk/w8ENn6LmX+eidYiz/eGUaBLW0kvSJ0FSejpfUjRb/4Vv0CPW5U1YgOzr/otWCEXmavYK2RVkZDKe8ybWzPwHNEVL+e9KUIBNyKgLsMvLy3mbLpYm3hNLGVcoFEhLC2/PTjL8VB2V/NSeWBTyfTjEwoGf2x54CvBwYNWuV095HFsmP4CxSKoS2kgp3UOf1RCbPVW95YmINHZwP3f9bZi1/FIYO4SU7vKTbuIH6cH08e2Jrd/WiITnQjuE+xmL9n7zLCpfY2uNaYasLw6HLajnk6Uhp7mF13Z8Vmmf10mYcyXWzHoGW0/8EOXnD+0zjK2lPnbtbpRd/PiA19u//A1MW3YOpC9M5cE2I0vOh1zkRE7nTt/1Wis389Mjkjy/2h1sAEJz80o0lF7Nfz8kHY+ULGE9afKWv2KadRMad3+PWKF1Ctk98vgMjJ91BvZJiiEXOVCz7h2MFOw5P6SexgczzPXDn0V2cN0nPLvp6F4hvZmEjvWaL553HuKSs/nvCndwnyuEkBHQpuuGG27ARRddhHPOOQennXYajEYj74FdWVnJA+x7770XIlp7OOI5pl2D5dWTkVByXMj34ZR4Zlbs0ZnBrj20DR2b3wFSylB2wrW+y1UaHUoWX4qxSu5JNVW7zRjqnpFahZlflyop6Nsa21tQvfkTfr7shOsGv35Hi69FUJyu/zWgoWQ0bJPPhNLZiWSNMPgwFHy275WLIHeZEH/5W0hMHJ2t4FjRqyUHhZobq1a/h9Lju2YsxxI2q1n3/T8hLZiPotk/8QXWB/60FHn2KlRfujrgAaDWhsPIFLn5Gv6E5Mx+uzOwn3AYaC21V83BrZi1+yHeImhP5oUo92T9ZJTMBzYA2WhAtckApVoLl92MWqShSVMKoZZ+FzazLz/yAz/fkDgb3iE5dr6k+SAUR74D0PU5HU3x7g7+/6o8S0bqc85E6ZGnkXJsGYC7EctYQGvrbEZm2UJoT/sTquMSUK4N/vN5qBzmNp7dhO8vxNpNZ6DoyheHfRtGG5mnxSYrotjuco7JDDxCRu0MdmlpKZ/BZv7xj3+gpaWFt+hiQfYvf/lLXHPNNZF4WDLMxs88HRPO/T2yikOrUMs4JcKXgSiINkxDVbllGeqrhOJdHUe28vY2i/f+gac3EoHcU9hNBatvNipUCpunhY0q+ErzBn0dFu/9I6bueSSg65s6moTbuVW+1m91ldtxaPNXaKkXqt6HggU/2Td+wqsihwM76GFrTVkVYnOn0OpuNKrdt8533mkSqrBHUnPtIbTUCZk1saRhz3IsbnwDaZu6+lRLpXJoHXq+XrK9XmhtFQhDo5Ca3CBOi4me0Ya2Jkz8+lyoRDZUiXJRdNZvfH/TaJNgdAvvw7ZGoShm2fFXQ3b7FhRc9lyf92fNWoBdsslQThAGIpi4qRfy0zmmH2F8dj72r/kA0dZ2/TZUnL+CL2Nh0meez2eCJzp28wrjsUy54gHM33Arjn77N779bD9FQ0rpImyXT+fn53d86ddijgRu/5r3sffD+3F09yq/rifdi7USQoZXxL6dZ82ahc8//xzfffcd3nnnHXzyySdYu3YtbrpJqBZKCOOSCjPYIsfwpI9WV6zD3LXXYfIXpwmP39lVQKdjX1f6ITtI37f8TVTtEGZTxhqlWgeHW4xOqGG3Dm3wQ+UQAkiJZ113MGSegwUW6AfC0iEEcR2irllmxw8PYd66G9G4/UvEEpOn+JrNMnoLPookMt95SYdQFDFS2CBKyYfHQfTJ9bDG2IGls2E3P22Im+B3eYdUCGwsbXUB35e9TSgY1iYbnmVWrCgZS/GvfelsdLT2LjhWX7EKMpEwCNd6wlN+673ZAECLWHjfm1q7Cp15C6j1pfyUW5B+01comLzEd1lO2Rys057Czxe4qzFry694C0G2bdGiUGl4cOodyGPndyhn8/P6HZ8iVrGic+X2Pfx82vyrfcsOWCeP4UjVPrp7Je8ewrI62BKArBs/wza50GYufdWvo7pPRyrp/i+wpO5lGA/84FeU1VtLhhAyigLs9vZ2/O1vf8Odd97JK4f/5je/weOPP47a2pFRAIT0b987d/L+pAffvMmvOmwo3J4ZbPEwzWAbDgitVRh9Uw3E5m6zarauL6PmilVYtOs+KNc9gbGIFWBqva0K1p/t81UmDlWcZ62izFOZPKjt8Dw2O4APZA2v3SisTTVKtL3X+Q9jlkQgLPBUNzeH7yDo0KYv0fL8iXwgKRawaumswByjNgozmJFQ8d2/MGftTby3coazFmbP+vtYoTAe46d2rX+hPaNcSL92dgxcQKw7l0nICLHIIl/TwBsklxjXY6ptCzr1vQcCHMeEFossAGb7u6d2qfA/2tpq+Hs4kH7afRl3xb+w+YT3UYN0Puuf3Lweh7ct4wXQYiUoM2QK7dDimwdvaRYtzTX7+TKaDrcGSelC/+4D372AqcvOBtY8FfHHt296BUsOPIyGr7vatcad/yxsbiny3LWoPbQ14tswmnS01mFCp1DhX5o+kWdHbVHMxSblwkge4hNCBhGRd19jYyPOO+88vPTSS1CpVJg+fToSExPx6aef4qyzzsKuXdHtrUuCx0a3WWDNUpAWtf7Xl9JVt+7tIT2daUtuxrZTPkHaKfcOy26R6w/4zjdXboK8W4Atsne1cXJ5zts9wdlYww6qw5V+KoKbVyFW6oKfcese3LM+woNxGIXgwySJ72Odf+gB9t5lz0P2TBkOvBm+DByLSBhccoRpBpul6s5bfxPKnPsgXRF8S7RI8WYuKJ2RmalnwVXhvud50LBZOR+HT30XNouRF1ezmGIjO0BrEQaWJQn5fpfbVJ73hFGo+B1rRQO9vBkhVkPvNH91h/CZak2e2OdtTQrhf3Qb6nBwxRtQPz8BFf+5J+htYJ9HrJuA69ofsbL8ISRf/zlS1z+I+RtvQ8UnQ3u911ftDuq1wgawDr1xPfZ88Ve/y5Mnn44V+Xcg/kKhF/lgGo9WDHvVcWOdUHm+Vprj+4wXq4XXksIR2fcLW5o1yyAss5FPOt9vCc4u5Ux+vmMvW8NOAlX77ZPQisw4KC5Eoae+Q+4NHyD/+v9Al5ROTyQho6nI2bPPPov4+Hi8/fbbyMjo6hnLip099NBD+OMf/4gPP/wwEg9NIoClj5V8cwEkcGHnuq4Za5tbgtQZXV+SoUhKzwfYzzApvOx5bH/1PEy1bYWjZivGG4XZF0bSLcB2e4quOTwz7CR0its2ocFhR3oIATtLN2XtfNgMNguwBy245Fnna5V1Bdgub5bEEArpua0dSEAnJM7wtT6xilWAkwXY4ZnBrvn2KQirQYG29AXou/zV8GGzlR0ttUgcNxsr7Q9CFp+J4HMYBnds/wbMcNfD6pYh9ZKXoVTFwfncDExEM9Yl5WH87LMQbckOIbValSrMGHq5NGlACyA1Bx5gZ5zwc2yqPxMJ2vAV8RuMSaIDHDWwdfbODDClz8XGRjHUOcJa2p6smXOxrk4EWfpEpG19HDqRCRD3nR4eCFYozVuQsmXhnzFu5RWYVvMWOsx387Ttnireuxfa9gokXvo61HEJvf7OlgHNXHEVNsYdj3HXvBHQNhhrdmOx4Rtst7KaD129r9PyyvhPIPZ8/zrm7fgtTFCi8vT3kTV+GoaDo0VY79+uyoV30Y7UE2CrXJENsPWb/wOpyMVTwgumnuD3t86Meag/cggQR+SwdFQ6sPZDLG5+l5+vn3ATSvtZdkEIGX4R+STbunUrTwnvHlwzGo0GDz74IGbPng29Xs9ntUnsO7ZvPTJFNp7CZdLkAZa12C8pgmHpX5DnaaMyUkikUrRlLAaObsWSOv9ZBomjK8AWeYIxp7RrPdNYs/+tnyHOdATu4x5AdrEwuxCq/tZbBsIMBWQwwW7p2j/9SZx8FlaIpX4zhS6ZsA9FztBnsL1F+Hyz4WHAsyOcgMs6+P8ViORWIS11Ren9KD/pRkRbfeU2zPjuAtQhFam3Ry7t07JJCIq2axai0FPhvUZVjkzzSlgb9wGIboBts5qR6W7lFad16d4hEIE4TpjdVdiESvuBSEjJ5j/DySyNBxyAy9h7Brv8zF8OeNvyU24FcCsvYDXeVYVOtwpZJ94Rlu3KnbAIrSu1SBIZcODwdt7buXtmQ8UnD2FJ01v89+U//gsTzvpVr/swHd3Msx/mGr9Hnc3qW1M9EJdRKKZokYVeHCxj9wt8SYMWZhg2vA4MU4Ct6BCK5Fl1hb7LZBrh/9C4IrtmN6dRqHNiGNdVwM6r+LQ7IRbfjfIYKNw3UqRue5qfrtGdiZLFl/v9zbtsIhYKIRIyFkXknSeXy/vsgc1IJBL+Q2LX/pXvwNQprJtls4bmQ8K65R3qeRC77Px8Q+m1PF1vqFi11b0fPsBTcIeLOn82r1Krh5bPjjZ5msHI+gqwx/AMdnrHdj7Tb26Lbt0Ei6cYmCOAADujcDLKz7oHJYsu8l3m9hTSEw+hkJ7Ik17ukobv9WCXqPiglTsMs+Idzy1GmV3oY5s4XlgHW/H9q6h87eqorU81NQozZW2eNbiRktwppLzai870XWaTCxkMImsHoq2t4QgP4MxuOeKT/PMKlCn5fLDSrMlBLLPKPDO/nvT0kO5j98f8dE/cvLClrrIB0waJMNhgbvbvEtDeWofM+q7ClUuPPM3rE7DWf6xAmuuZqdj79T9QdsYv0QqhZkPtgQ0BPa7YLMzk25S9A2xWCG7vf/+Afe/2P/BwdP82Ptjgldk2fGu2481CLQRxcpHvMmWc8H9o3ZELsI/t34RxriO8eGb2zLP7HISlYDBwjdX7UOyq5M9n+pkP+j13zS+cjKRnC3Bo8xdh2nuEkJiYwWbrrP/yl7/ghRdeQE5O14GDw+Hg7bq8a7JJ7GFtbuZuvxfbDnwKk64Ii+pfQ46nr7ApYx6KT7oVm/7diNxZvUegQ2GoreAzyXul5QBuQSSx4jpH37yGr13MuOI9ONRa7D64FR1Vm5C67/94T+KeM5Zuz+znWGRjKcwuwDmENcJH96yBfNXDaNOVoeySJ0O6jwPT78cBtxNZnnY4wXJ7gmLJUGawnUJw7g7jDHbW1e+iXSrFROnQxzm1rnYexFWLMpGWP4EH1dKatZhr/A576w/zar3DzdkhFMQyS3Q4sPYDuJ1Ov4GPcKnPOwctrRWIz+uaAXTKhIBJbIt+gJ2UUYjtp30OS3sjxvWYTZp6wkXQTz8TiY7AB0H2fPEkRG4XMuZehsTU4ZnJdigSAQMgtvgH2GzdssnQioTUnAH77RoNel/tDmfZBWHdtg5lFmCsgKvtiN/lbJbfceP/sG7rMiRvegzFrkO8PsGK75/BknqhjWj6oUdx2HApjNICJDl2wtRYCUwUCpUNRGYVAmy3qvfgkcthw5KGV3nLrkbHY31m79R//QRYuTs20Gtbcj+SsksxXKwnPoZVtXuQXtZVpV3padOlEVnQEeAsfjDY55Hyh/v4+Z3KmchJSB30+hRsD0yXnIUV4++FpKUCJX0MWLFUfJcttgp7EjKWRCTAbm5u5tXCTzvtNMyYMQNZWVno7Ozkxc3q6up4n+zuvbAfffRRpKdTMYZY0LTmVZSLXFDbWxB/3BNo+M9nyISQFhhfehz/4s275u2wffmJFULwI3NFvk2XsaOJ91GFCaiTCtXBs4um857PK8USKBK7BoMkDiHYHvMBNnsOhvAlbW4+jJn27djdHlrlYKZkwU8DHkCp3PgpJAo18qecxGe3mLiiJWA5GPIM/xZJwRB7A2xZ+GawvdsXDvWn/xt1TgeSc0p8gU6WYTs/bTm4LioBttgkpNEyC7bcwfshmyIQYE84o3e6sUshzGBLbNEvcsY+M8O5vnZi1StIQTu2lZ4wbAG22zNT27Pbw9GtX2HhtruwV1KGlFv+1+/t01+fyVPkmXFzwpuyb9NkA0ZAYujdBo4Ft+NnnwnrpOOw8pM/YHHLe9C2bMXGJW9j9orL+HXs71wAo6oA6NwJd0dgXTF8Kf3q3q0HtUmZfFaRBTjtzTVIzvBfd99UcwizWj7nz4dp7j0o7KPyeiSx7zywn26698E2dbZC1yPTYqicDjvaVXmoNBohPan/gnSHX7sSRcZN2DfnMRR5CnaR/msRlJ/28z7/ZhcJAyQUYBMyygJsFlxPmjSJn3e73aipEb60cnNz+Q/TXwo5ia68RqHCZ0vJpShLycbhBY+hYfOzMGiLUVo4hf8tnCPLErlQlEbuDl/xqP4Y24RCQu3Q+I3Qp2YX8Z/u5DOuxIq6WdDmDM+6uFjka281hOJgTk/bLPMwtBSyGNuxYMsv+PnaSQch8Xy88XWZ3dZmhkLiSS/3ppvHgr2fP84aKCNhxsXIHCe8N7ur0c1AfnsN3PU7o7J9MoswMGfS5ALW9VDBBuMwzUyJFMJabJk9+gF2OLGZvUS3gQdnKt3wFTkbf9qdqJP8CsU9ZmMdeiHduFORhoG2ZmPRXVhy6BGsLHsAZQPMdIfCHZ8HNAIac9dSlorvXkbW9LN8qeis+FnRBY9i1cppKF56OR+EWrn3cixuegslzoNA50F+PUlnYAG2xiEE2NK41D4HzlpEiUhHC4wt1b0C7JTMQtRdvRpHd29EUY9CX9HCtnll2pV8QDlPFt7Za7bMTKZQYfxVQtZAVwPF3qQOE5JggL3FP91/rBLa2tl5MN2dy+UcMGPEIVYM+bubEBKDAfaTT4aWCkqiq7O9GYVuYRYgZ4Ywelw4/RSA/USIVCGkYCuGIcC2drb6Ws4MFiblsTTBAFIFRzOnxHOgNZS1yybPWsUhtBSq2rkClubDSBw3B+n5bClB32yeYmF89kgqRzhZ43Kwz1ICiS4rbPe5b+XbUO//EMbMhVh89R+Dvn1O9cd8TePaxjlAHwG2PS6bjSZBZgm8QnU4KW3CvnfqcoFW8BR2m80ChVId1h6wnS11SMgc51chWqQUZrAVEWoNFox9K96Cq7UScWUn9+oT3d7aBNM/FkLtNsF6885BsxpMBj3SREI6uSY+EjXZ+yb3ZBr1JOkQvi8s6oFn0stOuQ1VxstQ1m2mNFySy47HCjaZnCUM6h/duxaLK+5Ha8UT0F+2HLrENN9sdunxV/luV3LBn4HnhAJoh0V5KHQfhcocWD9yrVOoUaLop/WgXpKCdGcLzPre9SvYAFP2uIlQJxbA4XDxStDuyu/gzl2I0iXCrHqksOfGeGgVVHmzUTDlOL+/lV34l4g85uFP/ogZzZ9gU96NmHD2bwa8rpm9jqyAqEPoGz/WVW35CjM23YWtuhMhnnQBEnMn8+Uh1o9vQmvWCchdfG2fnTW83U/cQ2hNSQiJsQC7ra0NarWaFzrz+u6777BlyxZkZ2fj3HPP5X8nsUdfdxCsrmgz4gdvhxQmUrknwIYVQvm0yHGYhPWYFpHaL8Bmo8RVW7+Bw9CAshNuoLVfYewfLbF4giy2hjNE4g3/xGLLGqyw/mbgANssBNgWKPz2IVv/2XJ0N0QSaa8AJ1DlFwhpjeEMD1ytRzDDsg7rm3XB39blRKazjs9kajNL+ryOWCt0cVDxVkLDT2P3zPIlFgCeCSnWnzqcAXbNhg/4zOhWxRyob+hq/ZhUNBcrbPdBnuQ/exgNqgMfY6ZlLVYoE4Aerz+VRot4t9DC67CxbdDPXWO7sC9Zun04n8dQsS4DjDt+4FaL7P3YPQ05nHq2xjLt+oyfVqqmId8TXPeFzQCumvIYUL0e2rnXYsWBVZCnBFbnwXn9GlTo65HRTyq1kVUXZx0COgcf3LK3VGJp2yfY1VkJRDjANu79htc8Wdt6GtAjwI4UreEQNCKrL6tkIHwwTg8ojRRg8+fjyBooRXbMN3wNrP0aKxp+DbicWGLfifojdbAed+Mg3900g03IqAiwn3nmGd4D+8svv0R+vvCF+8gjj+DVV1/1Xeff//43/0lKCv7L9ttvv8X777+PF1980e/y5cuX41//+hcaGhp4avrdd9/Ng3kSHHOT0L6jWZLh648ZaTKlkCKudEc+wHZaPAG2xL9XqsvlwoJNt/Pzh2efzw9yD274lP+eWboQmvjhejZiC+sfzQr1wFM5PhQKTzEglzr0AZuu0fiBDxbsnhlsi2f9mVfDgY2Yu/Y6VIlygbK1iBVuz/II73r/YOgbq5EusvHZ+uR+ir/JdEKArXX07l08HGozT0abPge6zBLYtkghFzl4gI0wdsP2znSZVP6ZBWm5ZfwnFmjsQuaMJK53nRG5QgmTWwG1yApzZ+ugAba5o8mXhTOc3YJZpkDLp7+G1GlG7vVCsTImzSqkiCszYuO5ZnRtwpIIU9bCQa9bupgFtEJQG8w6eTa4oRig6KJdpmMjfXBb2v0uN7Q1ofXDn8ORMxclpwlVxlOnnw0ceRpl9t2o6Wzrs1d3uMgNwoCIXdd7QKStuQadrXXQJmchPjl8mTqZNmF0TZU5eA0M3l7xCKCzht65wuGwo/HVn8KsSPWlpY9UyW1CHY0apCMbDVh46HHhDyJgX/YFmNDPa8XlCbBFQ8g+I4QMTdgWw61du5YH2FdeeSVSUoSDhIqKCrz22muYNm0a1qxZg9WrVyMtLQ1PPy307gvGpk2bcO+99/ICat2tX78ed9xxB84++2z8/e9/58HS1VdfDYuFPliC5WgTDpY6FOEtcDIQuWcWho3Sslm5SHJ5DnZsPQJsdrDU4RYuM7QIa/AKN/4R8zfehpba/Ririi56Ei23HUH5Tx8K+T40NiEgkHiCvVA4PVXAva3T+uOwCn+3wj/AlnrSW4djnX8wxJ4AW+YKPkOg3fO6rBOn91vxV5UgHCQnugLvsRxOE879PQqufYu3TrNAyGgKpJd5MBQm4f3q1MbugKo3nVjeTzpxp0h4HVgMg7fAsnUK338GiZACP1xEYinmGH/gGRcs48e7tjbDLby/k/MmIpoOb/8eFd/9C/rGo8izCeup4wpmRW17HCzA5lXs/ZcoNB/eilnmVcg7+G9flk1qdgkPoFhRtJpdP0R0u+LNQkq/OKn34ED7p3dj+rfnomb9+2F7PNYSja1FZ1I9NVwGokwUPrN0ziF8ZrlccEOMKR0/8tfDSGWzmjHefoCfr5r+G1jdMt43nf1Y3DIkTTu339s6kkqwXT4dSGC16gkh0RC2QfBPPvkEN998Mw92vT799FNe5IwFxsnJwizggw8+iPPPPx/3339/QP2wbTYbifnsqgAAnslJREFUnxVnM9QsOO/pueeewznnnIMLL7yQ//7YY4/huOOOw2effea7jASGrctaYb8ekozBvwjDRa1LwcbF/4ZUqUH4xsz74TnYsUvjev2pVZwEndsIE18zN5WviWSjxHJV8Om7o0U4qlxL4IDLLYIiIfQ+v97e097Waf1x2oTgzSpWeMI5zzYohP2thIVlbYak8YVTkeRoRM3SvyN/UnjW5os82yULoX2YtUk48GqRZ6O/0JKtS16efyckukwMXxOgvll5VoEJDlt4Uxa1VmHNrJjNfHXjsFlxZOf3cJraULzw4rAt+2D3e3TXD0hd/xDa5Jl+s7n9SXS38c8SdWLfg0xGcRxbLwC7qW3wx+8UAlqTJB7D2ehSo0vi2Szs4N7Y1oSEtFw0VG7jLRxZD2ltQnS7gCSsfZAXK1vhdqOE9RNjs+v5wprsQATzeqk/vBPGlU/BqhvHB5H6kn7iXdhtuRm5icLz0tZYDfl/L8ActzAg1KQs4G26vI7Ez0F2+2eQVHwMzDsPkZLuFGaG1Wm9uwrY2KCAmfWOH/x1GKimIzvBFmk0IDmgJQKKOOE4Ues2sk0JCRtwZEXoWFZIw+7vkJh2LUai2n3rkS2yoxU6FM/7KeqnnAyzZxBOpU1CxgCZDhNOZ8U+fxH5YypCSOQD7P379+OSSy7xu4zNWqempvK+1155eXlQKpVoaWnpM2Duqbq6mq/hZoE0m61m9+llt9v52u6LLupq/cLWfs+cORPr1q0b0wH2QH0kD238HNbG/Sg99Rd+QVQhq2g6zFVNWeGZnsVWIqX4tLtwqPMapPaRuNEhTQbs1bC31/OZ9DjP17sygul6Y0HiLT+iwWZF7hAqB7ukQpaDeJAZbKdnBtsu8i9hJ+tWSC/U8C7B0YxMNCGwGsOBkSqEmUtFCDPYojZhOUenuv+1ryzVdMJZv0I06Jtq4HJYkZCaxz9jKsrvwl6XA9kp4Z1RSXYI65dVyf7363TaMW+dsD7x6IwzodLowvKZeuB/z2HJYaHFX00AWVJWsxGpIiFzQpPQ9/edmQfYbLmkfzpxX/Jm/xSbMyfwegLDia1XbhdpkYQOGNsbeYCt1KViZeoVgEiEsmGoDD+QTvb57TwIee06/ns9UqBQ9R5I7Y/DYQv49dJevROLDMtQYWLDVn0H2Oz58du+tnpM9wTXjDnev2uFctbVwHefYXrnctQa9NBoEyMyI5oNYZlUfHrvGWynXMiKEFkHfx0GylQl7I8aRRH8n5G+qXTJqBTnwyTWIXWQStkDqU+cheKWQ5AeY0uCRmaAbarZwU+PKEqRIxbzz/NILh8ghIRX2L6lWUq2RtOVetve3o59+/bhzDPPhEjkaYDpwdK4e17WH7aWm82Es+uzALs7FqRbrVZkZPjPDLCe2qzn9lhW+eb1UNjbkH3dB70Cbde+L7C0/TOs+EQ/pPTfkYaNbPfX39MiSwBbBO4ytcBiMvCKx4xKM3a/0A5t/grS7a/DlFiO8vPuD/l++kthDpjMs1bZOXB4nJg/Gcvb7oFEneRXjEymFA60h9ImihXh6171Phx8M+ssWyJIqk4h1dOVwMoSxg5TZxva3rkSU21b+e/r4k7G+KtfRdkJ10YkYMh06/nscHyGf8AgV6hhc0sgFzlhMrQOOcBmg24tL52OJY49vsvS3M1ocTgGzPQwdggp3Xa3BOp+PkuskjjAwT57Bk+LZfUgNPGLEA1s3XeSuwNWgzCLnpZbirTcRxALLMpUXn06zyC87hplOQhmoZNCqel6vXQ0D/h6cemFNcXtypyAapU4HQ5gxZ/9H2+cf9vAnJI5OPp9FvJQi2NbPkfp0isRbp2eNpXstRjXR10Rb+94mS18AbauUThmM6TPDez6rCjdrasHbOU1mL0fP4Tilu/5+VzDFoxUUr2w1KFT2zvbIJqaaw+hedWLyD7lV9AmDF8nA0LGbIDN1l0fPXoUxcXF/PdVq1bxQHrhwoW9ZqQ7OzuRmBjYCK10oIMXo5ASymbEu2Oz2GZz6JWPpdLojsYzEonY7zTYg0GHIhHzOr/FrupdyO5RvEVuF75AReokuJxWSCQyfpBYvW8jxGIZkrOLoFQHPvo/VLu+/AdgbkXu0hsRnxKdpCand5bUaYbd7FmrzQ+KNcNaVXwo+z3cHO21mGdehW0uS1TfEyLPTK/UaRpwOzLzy/hPT+o44bXMBk1cLisUnrXPwZCy9dt8yYAmbM+FwnMQL3Pbg97n+de/hYraSuTFJQy4PYe2/g8OUztyp5wItTbyg0VHf3geiz3BdRviEH/SvRF77TTXHEG2yA2zW46k1Kwe71MxX9vMZlwd5rYhb0NTzWFM6BZcMzKREx2t1UjN6v8A2NoprD/tEMVBJvf/LvPub5NuHPa3tkKq0sbEd09/jFI2CHmM97aPte10qtN4S7p61XgcKb8PErk6yG3ser3YLe0D3lZmENb12rR5/V6v4WgFmle/CpWhEmZNDqSTr0LdjLdwbPdKKNTxmDb/RBg6u9eEEGN/ynFwtqxiCQEReX4tBiHAZpkIcrl/P3NGok33dR0I1+N3ps/F5iYZEiecOGyvmcy6//FsI37e1YB2sVDFPtqC/W53p0/CFksdpLlzgn7u9nz3Gibv/BMOqKdj3E3hW1PPaD6+FOXuWqz/tBGJ170e1vsebWLpeI6M4AB70aJFeOGFFzBr1iyIxWK88sorUCgUOOGErpRjFnA/8cQTmDt37oCBc6C8rcAcbIS4G/a7StV3387BiMUiJCYGfwAeKTpdaP+H1iSMsnfu+RqJs/wHOby9YRdXPgk8/yT2n/0pSmYsRfuyn6HAVY1dJ72JSYvOxnApOfAiL4Ry0HQ2EhOFAZpIWPf2QxC1ViJxwdUomeGfli72zExK3TbIPCmdRpEaSclDGUsf/v0eTiqt1lccLJT3RNXeTTB8/CuY4vIw9+dvhLwdeXPOwkZtIrSZxSFtR5ym67NGJXcjPoT7sMPGT1PSUsL2+aCbtRDWaXVIlStD2OcapKbOHPRaBSt+gRS0obJgGbLzIl8ILK32f/x0bcGtmHnpAyhXCP/boZ3r0Nl0FOlF05GRF573uNOazh8HTgfm9/E+rRbF8RlXids05H3WeMi/uKbBrYJWZIa9/RgSJ/Zfs0I1dRYq45bBZulEWT/bsPD2F/hp383W/K17+08sVx3jj78KqVnD24LsMOtlbwck9jbIJDZUbv4OeZMXISEl9AKG4aJIKwTq2HebETPOvi6k+/C9XpzGAV8vcRYh1VuZUdTv9er2NWFR45vCL2Zgk60FmWddhcysC3zX6fl+n3/zP/hAd6RyUpRTZmOf7CM4rGZM7GO7E1mrswog2V4Xts+4xdc9jOFmdnf6zrOaASoly0QL/f9xOZ04uH0VEtLzYGxvRk7RFMiGkJUV6Of8okvuBsB+gqdQyqATmaBwDfxaDlbFhm9R5hbW8c81fAt3vComBi9iXSwcz5ERHGBfdtll+Oijj7BgwQKezs3WR7N2WfHxQtoRa831wQcf4ODBg3j77bfD8phsfTcL5lmqeHfsd29RtWC5XG50dES/dyAb8WJvyo4OM5xOV9C3b0+bBxzZAHndRuj1/pV7lXZhHZZXS81h6AtnIc4lBN4uibbXbSJeAMkNtLe2RvRx4w4vwyT7DqyunIXUwtl+f5NPuQir66dCmzsVLY31YCtbTVADw/g8hGO/h5PdJcxySJyWkPZLY3UV5li34rB9aPtVl1bMf5iB7qeheh86G6sQl1aA9Fz/sl67Mq8DpEqMNzvhCnJb7DYr0kRCeTSrXRz216jVZo3YPvdWVG9v1Uf8Pd1afwSljgp+PnXe1TCanDCahMfs+OKPmG5Zj5UNf4BCe2tYHk+iSEbZOX/g5/v630xiDe9F3N7UMOT/PW38XLT+/Bh2f/YERKpE6A59jCm2rdBX74dev3TA2yZmC8W2em5DKO/1cftfRhpasa1gAaSq4U3PtEqF73JbZxt2r/4Kc9ffiuoVmXD/YjOiTZU9DdgOZNsq0dzUHlKBRqNYK7xemgd+vSTZhABDrMvt93pynX9RR3NCqe+6A+/3SHY6EPPXMdPXdsvjhVXS6a7GkJ/DcDj8wvnIs+xF1aKnMX7mqUHfPs7VybONvOpr6pCQGnoQuOvjR7H4yN94Fe8UOHBYUgD3Bf9GcmZhzH63293C5JPUYQ7r535z1R4cFuej0CW0e9u+9nvkT5gftvsfbWLpeI6EB9ufgWYkhO0TNC4uDu+++y7+85//8DTw+fPn44wzzvD9/Y033uBrtF9++WVMnjw5LI/JUsNLS0uxc+dOHH/88b7L2e9DKXDmcMTOG4G9KYPZnvqqXRB9cw8y3EKKfL55D+w2h98oo5p9AbEDYuiElLi2On6deLdRSIPVJA3rc2DzBNh2szGij8tmNxixIr7X4+SULQDYj6cf6IqSP0AkkaMsSq+FYPd7JIhkwqirwmUJaVu8RZusIuWw/C+Na97AkvpXsTrhHCRf/ozf38rOf9B3PthtMRm7Wu2IpaqI/S+B7vOje9bAseEFWNNnopxXi+2fXSTn7y1bhN9bzLGNH4ElS1dISpGcnOP3eA6xMJPttpqG7XVtYWubnex12Ba2xyw7Uygad6BmA2DbCpf+6JDvO9D9zvr7pnnWnGsSsob98yH3p0+gTvYPlEllqHj/t/yymrjJGB8D35epuZPR6VahTZzAmk0HVLG6v9eLw6jv97ll+yDd1cT3QVza+H6vF5+aj1qkIQtCWnZc6cm9rtvffmdrth12S1BF2sJBl5KL1Ynnw6nLxTiLhbevHIp9K95C0vi5SM32L+g2GKWjAyloR0VHU9CvcbY8LtVTynKTahEsqkxkiaRDeq/Im4W+6gqRvev4KT4DhvY2VH33DMrPvi/s7/emmoN88igxPT+kQm8iTx9smdsa1s+J0uOvA46/DpteuYS3m+vY+TkcJYGtrx/LYuF4jgy/sA5Rstnqm266qc+/sUJlPddKh8Oll16Kv/71rzjxxBNRXl7O23mxXtmsFdhYZKjbhwWOnagS5fI1xMmiduypO8h7bXpp3QZ+gFArzUeSYydgbIDNavJ9gbAWEMPJzg6+XazNUmQzB7zFpNhax4EkpGQj4eSbMdbJ1MKaXU23lLtguKyetlmSoR2oGQ2tqN31Iz9fPL//97XIYfFr6xUu7ID3gHg8P1hRy4ZYsK2HQ69fC5nTiPHXv8oWQQZ0G+ORTVhi/A5bath+GTjAtokVPGjwtjAbjqI8jZkn9Sr+5JR4njfPPgqHhiN7eSCSmFHYZ3VdOwuY2OvB7J+xEw6OxCJUdubBrRh4n1Vu+RrWIxugyJ+HcTNO6fM6e5e/g/xtj+FY3GSMu/q1fu/L0FqHTJEbDrcY2n6KNUZS94AvUS+ss7elR6/XdHdstnX79IchqvwO2pa6kAJsm1QLthLEZe6/TVV7UzVY3gDrQ5yQOnDrwYO5FyL96LPYrFmKwpLAnqe9n/wZ86tfwIbEs1Fy+T+C/h8G3J4Nn8LeuA+a8YuQV9571pEFciWX/T0sj8UGYBY3vgHnDhG2Hf8O8iYGXpjPzDIlWNE/4+B94XsyGfS+AqVZV7wGmWf5zVCMu+YNrHz3LixueY//fiDnIpTLFah/4xIssW5ERd3FSM7sXZV9KNq/ewTzDV9jReYNKD//gaBvL/EseWPLuyLBlL0EOLgKyc0bInL/hIwGw5YDFIngmmEtulhxNZaizkb8WGo4a+kVaor4SGdvFVJ3mpX5sNpUKHXuR8v+tb4AmwULbG0O06HOBTp2QmztQGd7V7VblXp4ez/beY9cwGULvTBdIHhvax44CqmO3bXUVaLl8FbI45JQMKUrG2Is0yQKB/GJ7na0hNAyxW319B0XDy3A1tccxIItv0AT6/w7QIAt9vTJdkt6B9iN1RWwGtuQlF0S9MG3UNl2OSJhkmEV4kRmHGtrhibA9f7idqFFF1vbPhhvy7JIv7cYdnC+r+FuZMt7P/9Oz4wKHOEbRDP+8AjmGr/D8tyfYcLZv+n1d/ukS7GidSESiodedbviP/dA3XkEzlm38HaG5WfdA+AeTBjkdrYD32FJ8ztYyXoL9xNgu502ZKMBeuvAbSsNLcLa3xZRQtTSd709o8fb9vFB2oRi//oe0VSy8CKA/YTINekSrGiZh/ii/v8nFkg13XQA7S01SB7k85DNbDba7kJhMOt1FVpePE9pEfq7h1XFp1jCgjY2yNVHgB0uNQc28+CaWZ11HcrK/SumD8bK1vqzcTiz/9K/QJg7haCcFT4MR3DtVXjun1Dz8nIoYUH2kuv5ZVnWSn5qaDoa9gA70SR8xotTQqtXIfUU8mStKcPFbrNAJJbw1qppU07DCocV8WV0rERIf6L3LR2CW265Bdde69/uha33vueee3DHHXfAZDIhIWHstlViJB1C+x6zOhsWVQZKW/dDXLsJwNX8cjfcWD31r3CaWgFTE1hbTKmdtV5p9VW7He6iFQ528G0H3IP0OR6qOBZgi1j15t6vkcbd/8OSfQ9iq2I26nVp6Gw8xFMAMwomYqzSJQrFi1wQobO9RQg0g2EXZk0dngrtoZJ5Mg5UbounO3nfxE7P7Kgntb075ec3YKKrCuvmvIDxs89ErDCLlLznutXUAU2AY4LqTqGKsSu+MLDsEPa+t0c+wGaS0vvuy+3yDHp4swzCQW0TBgXFnurHPRXNCV+hxnT9RpQ4D2K18eKgbie1Cq233Mr+u2ZIlMKApnyQfugW/TF+2iZJ9mtDN1zqD++Eeflj0FrYTLoNHW410guE9eWjwfjZZwXcdjDQgCrYFoXSBGFWXGcT+ruHk9LmmRFWpwzYZq/lWAUkEjmyimeE9Dgdh1jvaWCnbCrKz/+/oG/vVCbz4xJJCAG21ShkqxhFKpiNHTB36qGKSxxymz6WLm+86ltYnU7oPK2pWiWpSHe2wNoR/n2V6BQ+21TJfX+eDkbqSe9Xuq1hW9Vfue4DzNtxH7apFyD/uneRfOYvw3TPhIxOIyrAZuu82U9/FcW9VcXHMrlV+GB2adKhKz4Oq5rmIL10se/vbPSxZJEwyr/3G2GdqszRCYunnUynKI6V9hpWjmEIAljPXG8KvFLTewZb7AnKZC4LWje9iyUNwlrejAL/tbxjCTs4rLpiO9TaROhCGXTxpCV7W6ANNTVVBQtMA/Sxljo9r58+UsS9WRLOCA/iBMvCZpj5Gumudd6DSbYJgZY8tSiwwSv+3orc/21sb0Fj1XYk5ZQhPrnvNntuzz7xZhmEg84hfNbJ4yOfLq1zCmnDyvjgBpm8LRGhTBh0AEnpGngfOdvr+GmnLDUqAbbdasQc4w++32uluYPO4pLgaDwBVYqriWVJh5XaIbyGJXH9B9hVP7yApUf/gQ3q44Dif4f0OCLPIH+HZhxCqS/v8gwAyKzBp4hnjpuGQ5duhN1qhuOtizHJvhOrJv4FpceF1ld839t3INFQgY7pt/casDPKU3iFeGdHeLMN3C4XzxpjkwFqTxZZsJTqeF4LwyLRIly9I1i9CanIBSdbdkQIGV0BNhmc1JOCKVJokVM2B2A//ZCnjMO2o7NgTJyA5JQ8rMi8Hm65dtC0x3CTL74bG4zXISszci26LMaudXWqPmawxXIhCJS5rBDbhTXHLtnwFpmJRZr40JdaiFx2ON2iIT+PcrXW13KFD5So+m47wqqd9zeDzWdynSxtPfgAr2rHj8haeTcalIXIvf6/CCeLSCUU+DMFFmCzIkuZrnp+8BWf5V8pvS+2CRdjeet8xBcNPU26P3V7V2H+5ttxSFwA3Lqqz+u4pUr/LIMwSHQJBb9UCX0H9S31VWg7tgcKXRpyAlwD298Bb5K7zXPAm+W7zPb8HCjdZrRf+j10Sen9FmxixOr+30cylTC7pvIUpuyPqFM4kLcoh7d6uJc6wT9calPl9VprP5J1tNah6fA2SGTKfpcJ7fnyb1A2boWz/DwUzz0n7Nugjhf2rc7diZYBBhNDofUMEsn7yfhgRAph8FnmDH1ATmEUljI4dEJV8mCJPQG2yi5kfwSDLZ3QeeoTVHuWJrk8S5VCkWzYg3LHXqyy9q5DYlUIAbbY2MCXTYSSsdAXk7EdaSJheEWb2P++GkhCWi5wy3cIJ6lBGDixabJ9A6tH178HdNSi/IKHwvpYhIwGFGCPMnLPLIhY0XdQw9YaN+9bDUVyPsbPPB2YebpvhDMtN/h0rnDILpoe8ceIS0jjI9sW9uXVx/pF3wy22wKJ3dOuTB6dHtijRdlFj6LF9RcUuYQWV6FSKLtey1ZzR78BNss+YMQydb+p0q4QZnIdpna+RtZoD//rwSZW8QJ/DktgB4H6hiPIFDlhc0uRlDF4H+Tieech0mzNB4RtU+Siv0TMuNITsUKmgSKzPCyPaTUbkeqpJaFL7nuOpmHjf/hs3HrNSUBJ/8XDBtPZ0dLtgFcIMlngk+TSQy2yopFnH/R9IKxxCgG2VNN/irjcU/NC7TZ76h/3LeukO7G57izo+qghMRzikzLhcot4EakVubdDkTN4H/aRpG73D1i049fYI50A9BNga+rX8urJK5qnRmQbZJ7PNjaYaLdbIVeEr2BjvHdWNKH/LAyxQnh8mTcbKAQ6q5BpIUkMLb1ZkZSLSnEeOlVDm3u1SzW865nbFlqRTkbnEGbRFX1kyTg0GUAboDJUovPlkxHvaoPxquXQaPt/rwfCqBdSzo1uxbBXkh+IzrMuHEmsVwRgNrZhyYGHedHFms67+yw0SchYFrEAu7W1FRs2bOCnLlfv8vTnnHMOtFoKYMLODT5r6A2wj+3fBMPuLyBJn4SSBT/lwfWi3fdhl2wyMHkJxgpWoIuNbHtHt3uSeGaw5W4bFDZh5Jz1ux3r9v34JlSHPoMx9wSUn3JL0LdngYh0iLMwbFbC5FbwYMbKg5m+92F72eVYoV+IhPxp/RfZCmEZgtOzltybZh5OdrY22RF4gG3SCwevTaJkyGMkPVfaLhT7MWv7D/h51eIwFlZqbz6GHE81Z7aEoS8iz0CLZAjBAtNWf4ifNiPBb3CHrZ9Xwzpgen8c69jAa1f1n5ar9ATYGpEFnQMUE2Q1EIKugxBGbHauTaTlrR21ZScPKSsgFkk835ksi6k/Gs+6f4kulOTnwSk8AS5jsxjDFmBbTAakioT/K84zSNQX73GDfJBsigEfS6pFvTMFqsTQAmRWRBBT1yCUo8PKrd/CsecjONOnQ+pZmiQKcXkMy1JJdrf6Za50J8+YDNSAD7h4rd75PT/OGgpTm5Cp0iZKQCwtesywC7U/1J5B0pSs8ahBOrJFDajZvTwiGR2EjGQRCbB3796Nq6++GgZD/wceixcvpgA7AtJv/oqnlo1nkTb7sN70BpboP8RKx1UAfgqnWQgeLawVhgerLK5vPMIPFONTcoeUFhyKYxUbYDi0GrK0IhTN/gmiQarsqrqpcQjPkUQbvYPZWOFqPYiZljVY2xDd0WmLSMGDGbup/9mI0iWX9fs3h6fIltsTLAfD7anA7Z0FDycHm8HmjxHYQWD+pMWoLTkIU0dLQAdfLE26ve4AVPHpyBw3BZGgNR71m9kYDqY2YZanVZQIWT8DOCK5N2AaWoBtahQGEJqkmegeJlvAXg/tcFg6+z1Aj/e0RFRp+/9MVcbFo1qUyZcLqKyWfjM0YoFenIQkVwcsbbUYbbxZTHJ3/8sYEpxCrRJ5QrhWtvYexGCFNtk613B+Cxs8s6JWt2zALiHeQQbFEN4z2Td8zE8H73EQfpaa7Vja9ik22DpgUwrvVlGIdR9Mxjakeeq2xKf03t9pJfOwbv8pcEi1WKT/gF/mProKGGKArU7MwMrUy3ndiqHk+1ienc1bstad9wUPhoeCpYMXQKgnkZLXtYiwWjsN2YZv4KjeCFCATUjkA2zWJov1pL7vvvuQlZXF22f11F+xMjJ0bNZQ5Dnv7Qks8q7NtgjrsOwyHdpbapHxzlIoYUVlwplY0P4ZVmRci/KfDu96GsP+77Ck+hmsaz4ZiFCAXXtoGzrXvQxHfD4mnPWrXn+XK7W+Vl4OpyctLEKzFCOJKCEfqAPizMK6umBU/OdXUBmPQTT3Z0H1Qe3L7rK7eXpGVsrAvWf74/LMYIdSxdpbIMxbjC+c0i5+AXVyKeZkpKKtPbADQdZ+hvVqD0TjmtewpO5fWBN/FjDueURCul1Ym6dKLx24ENrhrRBLFXyQYKjikrN5j1jINf0ehIo9rWoGq849GNYXmc2Udyiy/QPsANL7d5/yAezGVuT0U/yNUSg1kNy2kYfr/WHB+r7374UrLgPjjr8JSk9dguFmEcfB7JTDcXglEMYq7bFA6pk97q93cPcZTfb6i5ScGz4K+32yAHHzce/CbmrH+AEyiqSe5TjKAQYZYpnIkw7ukMXB7f3Md4ZWR9vQ4ikq6Fb1marN6i7ornqFn1/xRQGWVD0JpUm4zVCk5ZYhLffRId9PnLsTCejE0X4GAIOhbzgMlp/UCp1fKrgtfjxgABSdQuFNQkiEA+yqqio8/PDDmDBhuMtlkZ7cMuGgQewNsFk/VvYFJI/nqYmsBy+jtghfDO4Bqt1GituTyiUNYwGknjobDmBh20fYaygD0DvA1qVkY0XB3RCpkzBn9wNDquA5miiThbTfNHvwX6AZrRtR7DqEtYZLh7wdZScKvUcHcmTXSohZj86CKbytSneiccdj5TEd5IXB9+31Vrf3pZmHEWsfI5WKI9Yaz+2ZlZOEsT1Wz9TTXAizeqyKeH/q96/DvA0345C4EJi0csiPy2ZkUs5/YMDrSBSeZR+etfmhKj/1NrSffDOyLP5ZBjZPj3FnHwWQGLZPw5VGzdaBL25+h+Wp45go+KUa4dKSsQQTj+1CYtsujDZSz+tFASurh9iLoa0JaSJnvzOasYylmgcyyCn3BNisJWL4OigHX1/B/epxvOif+dq1QQ0miTwZSk6pxvfZF2rnAnO7MOuvFycMOPjFH1ctHDfJHUMPZsPFCrakyQC7degdJKQyBTZojodTokL33hXi+FzgGKC1jr6MFkJiMsBOT0+HzWaLxF2TAbAR9tqXz+PpsCkXPguNNgluzyyOt7q41CYU3XEp4iFXqGFzSyAXOZFgE9b9iKOw7lgk9wQBQzwQHoi3erSjnxYT7Eu8/Mxf8nT5DW4n3J0NGDfArNNYkTZ+BlwrRUgXtWB/Uw0SUwM/sFSyvuNsv3raEEVayY/XQycyYeeZ3/TqX148n6XthZa6500xjESAHay9Hz4ARcdhiKdfjQK2VnEQImlk31vNx/aB1QrWQwutpz/sgMHuMM6MSXwzkkN/TLYuuueBvo0tO3CyKsXBLzsIfR14fFRTyMvP+S0ONF6JlH5qWYxkMl/vYBv62qOGFmGQkc3isSySSH+XM5EaeOtPXFImVqZdBbdCG1J6MluSovrwYhikSUi/6auQBwNSXPW8mN5+Y0dQAbbEE2C7ZXGQZU7DWsNpcGbNDmk7XHYLmpCIdknKoAG2RCUE2ErX0APsDn0jrKYOqHXJQyqYZmU1Q1hNnjB8PmUUTgYK3+x1uTJFGIBPcjQO+TEIGW0iEmCfeeaZ+Pvf/45nn32W1lkPI6vFiGm2zfz8UbHUr9CPt0ew3C4E2CJlPP/y7hSpkQQDMlwNfNbW+0UxnHwVvCM4g+2tHj3YOlpWUKvshOsith0jDUsHq5LkYpzrKJoPrkNiauBBqjfNUNZPRftg1BzYDFPLUSTmTel3PRlb6sAfz7OePmzkOr5G1qEO/5r8A2s/gGT/5xAVLkTxCTcNev2UpjWY4NiDVe2nBHT/Inlks0PYAfmK8ffC7bAO2N5PKh84/TZYrQ1HYOlo4am6/bXIknqWfbCZMKEiRXh1qvNwyNHmq7zcU+PRCrRsfg/ixMJB+/AeeeUSZFgOom7hY30OnJibhAq+zZKMqLfG4i2ARiGZZz+yYoqdfbTIsnQ08gKieklSv9Xyw6Hl+RNR7NiPjfNewPhZZ4TlPlnxL8uxrVDnz0HBlOP6vV5cfArKLvxzyI9j7mhGmbsGzXZjyO859ryboEQczLCZ2PFK4IO6Es9EgluuRtG8cwD2EyL+3M86A2l9FOntq3/5VsUcdMYVYKhTFDXf/wNL6l/F6oSzUXL5syHfj80bYIdQ2DNQ8WlCgJ3qbkGjzRqWNmWEjBZhC7DvvfdeNDQIKTVutxsbN27EkiVLUFJSApWqdyXMRx99lM90k/Cx8C8jgXeWQ9yj0E9XX9YkfmoUxSHJbYDSU8xDphEuH06+HtRhOvjuUwBpvtUV62BurUZa0bxRexAZilZFHsaZj8KuDy5NnKUZskEbbxuioXCseAwLLKuxou03SMn6We+/26w8E4OR9xFgmzrb0NF8DBKZHKnZJUE9NstsAH45pIIz/XE07sOCzm+xsZp9FA8eYCc4hCrGin56P/fkHWDztjALN7YWPOG0nw96Pal3dpBV3Q7D4zYufw6Lm/6N1YnnQ3fZ3/u8ji41DytybmdHvyHvO/a6MrxyKjrkGUi7+EWe0u9VcvkzwuP0c1v90e1YUvsi9jaUAYME2HG2JuS463HE2NL3drQJheQ6lFlRD7BHK1VcIpbn/ZxnfZS4XJD0CLBZW8vGyQeBTqFGRySxNl1OT3HFcLDt+xpLW/6DlaZLgAEC7CE/jlEoEGoUadC7WWLgTCKVEGCbhcJagfJ2DPB+7oVDIFkEWcUzgOIPw/N4nskAl2fpXKh4tp6LZdiYw7IUSCZX8QmI7nQpWdhy4n8Rn1YIrVQ25MchZDQJW4DtcDjgdHatXJo9uystp/vlJHLY6DHT4Vb7Wr2IfesQhQ/Zztl3YkXLEaSMnyvcRqzhaY5eygGq3UY+wI5g+mgAab6q5X/ADMderD9wEsQ/+Uu/Lb3GGps8CUaTAiKXLagURzU8M9hhSBF3SgeuAm7tlgbXV0GaI2v/gyX7H+KzDLghPAdCYSENfJ0ge05TPEWWNMmBDQCJPcsvhvLeYo/rdDkhHcIBlEzRlX4bjgBb7OlV75T3P3jD21qdc9+QHqdDX49S50E4TJVoCTI122XydmzQBtYPnaWb91OQSNohFJKzqkfW2t+RhNVtmPCTewe8Dpuhi/T3gp0FRs7AOwsEQm4VBm7cysG/3xuO7OWBbV+1LAbjMAs1XsziuCEF2GaRis++2gdogdcXqWcgkQXYbLmXxWyAy+kYcPlKrPHNwrM+3kPgbSvpCqFzRk+N71zPu4msKP4dyk+51Xc5O87MLZs35PsnZDQKW4D95JNPhuuuSIgMtfv4ab00y5emlF66CBuU/9/eeYDHUV1t+Jvtq1WXJbnJvckVMAaMGx1C7xBKAqEEDKT3Pwnhz5+EVFJIAkkgBAgt9A6h2thgGzDNvXfLVi/bd+d/zp2Z9UraMjM7q3re59lH0tbRzsyd+91zznfuhatIucCMO+K0bq6wnQV2z0ew7Yn2KOFejWAHqHVZFDi6/TUs33A2iueen7/t6UeMu/SP8DschqKAVK5ANXREctTPLFGtp2maSWckoJrbyBKczu5pajatVCKPdf6m0EzIdKRwtzXXoUqKit9LK/W5qdsTTtrmskOi0Qjq7z0HU8Of4p3RN3cTIJvefRLOwiEYNmF2xtpgp2qe5JYiYuLbNRJiFEdEEaJUK9oji5ZSYdr+1GkJKgI7nNQSMR1huw+IkFdEakFRoLr4yyW90fyI6Ukiaus+razJCtxhRfjCl74fu8bI588T7tOffO5Fw639Yn7lc4L23M7LkLrgFMvg0J+Kogv+hjUdTagprcK291/A3A9uwkb7BOCGtwxvw8Z/34LS9o1oO+IWjJ9zpq7XRMJB2B1O42NFEnZ1sZXS3HOhzTcWG9o6YPfkfv31RJVMApsF78Uwg4W81GBr7N27F2VlZYkU8XfeeQdHHHEECgqsS99hDhGrVwR2k+dQHZBoJVGevl6zpWwGPm2SYZcjaCyehnHFPR/Brhw9A+/6/wxHQYloBZEPJDV1TGtblgp/QQ0QfE/8XjR0Yp62pP9hRgxp5QpxWRJtiHIlrq7mS9HUq/FhNYIdhDtlSp9Wi+w0ITQ3/vtmDG39CPtm3ILJ8y+BlRgR/m2NihFhMwp1myyVDJuAt0fcAKmw2lSa9Ka37sPCyCciaj53x1+xs+FKlKjmf/F4DDM/+K7oRPCR9zmMmHB42vdJPgbCIT+8jtwmak7VrVdyZ36f3RtXIdR6EEMnzzVlGBRqUyJ/bVJRt4jcupfvxNit/8L2ISdgysXd2+pIQWVSGs0QZe+6gIRw6uO7TDWhdJWPNvovMAagMqGIvxXDJh/TbWFww8NfhzPUCNexN2PkJHPGWXpILAJbWDvriyqLPY7C7AI7AI8Q2BET7Z1k9ZgPO3MV2AUZMzrSocx3qjtl75hdXCxvW4fa2Hq8o9MkzH3nZFRKHVh//hJUDBsHszhifkvS3Cdd/ifx04qQiS+mXM8dKUoIt6x6AdFNrwLDj8zqNcEwg4m8COxIJIKf/OQnePzxx/Hqq69i9GhlUnDbbbeJ+ux//OMfGDMmX1Jq8FLQuFb8DJWOT1tPuGX5Y3D4yjDm8NMUQ6+LfpF4vLeSqHwlFYohSR6pOe37WNNyLYZmcCSNV04li1hB+fDkZhSMmdrcuht3iJYrXguccLVWbvY0UZ2o2kIpqKbFdcWuTbZMpEr7/LsxPr4de9NEF3NBUo2VnOoCUCZCbVo0tRjpl4k6QxO9inN/aH776tclfndJUez/5DWUHP8F8Xfd9s8wUwrAL7tRPWZ6VmfgJSO+DNlZgPH23C877pgy8bZ5MkeHh/73OgxDPT7wPgzfNOP9tyMdynfeYS/pJrCpXKFG3oe9fsV7pCt2tWNDzJ09gk1thZQPTC0oguc/jA+b92NYhlZoTO7UvH4dKtGE1YVPdRPRw5pXiXHgvZaL8vpV50NgF8eVyLK7OLvvTYjaz8k0phoX2FJIEdiRHAV2GxkItrVBysGt3eHWxnxzArs4pixKuIv1mVtGJGVcC7YrrzOLQy3nk1T/nL5AoayMZe6i7gs04d0fYGHTE3hPLHqywGaYvArsBx98EEuWLBFp48OHHzLjeeCBB3D77bcL8X3ffffl46MHNbZ4WKTI+iYen7gvFGjHlrfuFTXIQ4+6FPPXfB9R2YaG2Yor7WCBRDzdMjFm7iXYsul+NHjHYKx6cWaA/ds+RfT1W0X7tzFX/1v3V0Jpclakhyeny2n1aV3xllYrAs7mTOlmbVdfb2aypRmEWWmcc2i79EdZtPrGDpt+gZ0rUy79HbY0fhv1z31flE6MXPcXhI+9SAjm5s3LxXO2OSeiKkt9NmUV1J77I8u2yxNXokoOb+bjy28rAuL1CKupq0aJdygrbsEUEXfJ6esUceqKM6KIDdmTPXIeV9/LlqZesmLoGHFj8ovW2iga7L4fvHG11aU3+4KJNQLbuhTxUhJIEuAtqdKfnm1mQdHhxX4MQcyb23L9xCvuEj+NXj3WPfEjSLEwqhYtTnQuoL7m2X3Au1Mqt6jf2VBdzydjtwq5JWH0ZhaXuthqU7e/tyEPjhK5XfkuUnj0SNQLey/gC+7rle1jmEElsF977TX87//+L44//pDQI4YOHYpf/OIXmDt3LgKBQEp3ccY8Ndc+ge2N+zCytKpT1HrR1l+J31eMPEL8PCiVw5FUI9TeUo/muu0oqhieSP/sSahuafOSByBHAph08o05mSnlAolB741L89qCpT9CqcCHh1aKXsdKBXDPk03MUH/usgwCzqGmKLvNCGw16q2lHFqJJvz1mJBNOvYi7D3yLHjVenO9NdT7Nn+AWMiP0TOOM9VXl0yd/Iu+jY7nl2IMduOj+z+PwmgDFsaVRbqGIXNgfQOzzBSoAttZkLmtIJkt0exaqw01jFpHHXJ2/xxJnQA70xyTLq1jg47Wh3FfNfYcrEbc1TM945ksrY1SeD0UQLnPiq4ImYiWT8bH/sOBUmvq7WkOQN4HhLewVL/hXshvqk868IO8dFzQw7T9T6ICLfi49ZJDnQvkkLrn9EOBiUpJGZMLy/UJbDHWxGhdxJjzeVcOjDgFTS0TUVidWxbd2ud+iUk7H8Gm6jNRe+FPTb9PwN+KKrVDR2HS3FLDU6FkqJZHUmfyMMxgJS8Cu62tDeXlqSs/SFS73W60tLSwwM4DXR1OvUWlog6WDKdC+9aI+5ocVYl08I3Ln8C81V8Vv3/qnImS619ETxOPx7Fww23i9+2BK+EwUSuZjXWv/AVSyw4UzrwAI6ccZfn7D2QKy5S0wjK0YV80omsBZPfG9xFd9jsEC8fk1FdVo2TifCyJfRPOytTlD9lwqEKWBLZRia1FlzXDMCsZMeUYbBv9AaqHViKkzIEzQrXXeuuviVBHK454/ULx+97azbpfu2/rx5Be+z6ai2sx5dLfYuiYaXh/5NUYtv81xG0OTFDFNVE863zd7xlqb0Ll2Jnw5WimuLHmEmz2H8TQysw1ySFHoTAujBts96PhHbcAnxxYgai7+5ik9b/WOjR0e/zk27GyaQ+qR07L+jlTz/gGgG+kFCZNB/eg7o07EC8chqlnfNPEf8HoJUzp0RRF7tIii6J4Pjmgth3MbwR76ue+AuArsGqpW7LZsWrBg2LRYLSvRL/JWth4inhvQ2Ka9hGJa5d6flJrwI4Ufc0z0dq4V/wMyk4U6PjOiAAZu9HCRCC3CPbUs74DKyBD0GE4iG3B1K3/9NLRopTJhGQnXGo3iGSKqpV68yq5Hg0WGFgyzEAhL2fC5MmT8eijj2LWrFkpo9tEZWX/aZvQn6E03Q54UIQAHI3rxX3t7uqEwNYie0QoR+Mhs7hcnsQiQDjoN2VGlI3SHS9iZuQjLN03FWCBbQhfcWVi/7Q1HRDR4mwEGnbiWP8SbAgp5ky5Mnz8YeKWjtbGOrTW7xQpbKkMZnylVXin/ELEnYWGoytO1d1eS+e2EhK83oICFBT6EGrKvZ1KV1xJzt7hQIdugd26dz3mRz7B+uZDyxFTzv4+Nr9Xi6FT5mPpf3+NyqbVODDhEtRmMDdLpuTl6zFa3oOV8fsw9rCTkAtTz/6erudFnMXkfAc52Gw46ke900dOnYfN619C0RGXdnuO3V2Ysa6fFiVAtxxprduKBfWPYG89RY9YYPdGi6xwKACnGsXTEwXuS5DgGWOg97Uw3AvRd2D9eKSXrR++iqHv/QiNrhEYqbOtIi2CkJgmSFw71bGPeopHIiFR1qIXf5MSjW2SSuHQKczD1I4vTMZsuUWwLcOhjPW2HDtn2Gw2rCxQjp+xKb6L0iEjEZbtcEkxNB/cmZPBG8MMJPIisK+++mpccskl2Lp1K0455RQhpkOhED7++GM89dRT+PrXvw673XwbA6Y7W1f/F2Urfob6wqmYeMVfOj3WLvmEwK5o3yj+DnkPpTx5Sw+tk4dpMtoL0MpyAC74EDLlXGqkjjYfab4DHZqgNUtFKEcr/M37dQnsuGrQIyasPcCeD58VWRAfuY8Ern262+PUB3Xy539v6r3daj9vR4rV+55k3fO/hrv+U8jTLsH4OWfoeo3D4RKeCw4pLpzWfdDXJSDWtEP8bHMPTbyCFusmHXuB+L34kt+InxUWpd/mi6g6ptnCxupJD+xYg1mvno0GlGDKTUrmT1ccHiWd253n1m/hdtVozVaE/iXt+h9RmydliyxabBH3yxI8GYwyBwLhMadg6YERKKhRSsqMsPOei+CLNMJ/3M9y648sSWIxTgorrR71QCKaxDRB4trt9mFVwSJR0z4yntSLVAd0/TqAcjQ5KnWbv2pjjRRUSkPM0rB/O1weH3zF5Tm1+zLSAjKrUebVD2acHxywVWKkvF8sBrLAZpg8CuypU6cKp3AyNPvlLw+1L6GWXSSur7nmmnx87KAm0rIfk2KbEfJ3FwEBm08Y/UyOKQJbGnqot2VxZU3i92iOxiS5EJIUgR3tkppnFZq5lVbzyhijVSpBudyKYOsBXc+PqyIqok5YcyXob8O+TauAeBRjD+/edo7q95MnyFbSYiuHHLclejlbCbmsb3rqu3DKIYz+/F8g2dKn3/vqVmF2cDmWNMwxtHhFrcsKEUBEdVrXg81/UNk+j3XV1eJYoHroHM/xUNCPhl3r4S4szTqZi6ttvDRHb70E25W0ynapsJt7uIbbV4o9qBYlN9UpfAs2PPMzyJ5STDjhuqzRswM718P54g2Iw46KG17v9FjM35RIQWWBnV9i6oKgHOksSsJq20HKBstJ9Ohgw5v3Y9aan2Kj9zCMuuY/Ob9fS8Ne7Hn3IdgKKjDlhKuzPj+XVkujg+swBM1Yjdw6R3gKlaW7QrmdEgp0EU4ypiNx7XC5DZlyJiOuMYd/giFx/fZo0SFTsTq4H1KZ+VZ6FIWf9PgCkS226ZIVohtHrgLbkaPA1kOjYyhGRvYj1KAszDIMk8c+2EcffbSIVjc2NuLAgQOi3rqmpkakm3z00UcYN24ciovZTsoqtHoprX4qldGPxtDpJyZ+p3Tsd6b9AvKBzzDsuMXoLUKgiU0boiaMVfSgpXGywDZHu6MUiOxCtFURXtnQBG/MIsHbsHczjnrnC2hEMWKHK+3oOqFGnBIOvCloPrBLRHHLq8eKyZdeim9cKn7mw8iLBPCxTUrEfVewA54Mpl3umBKFtXmMyayg5BIC28i5Rf1+iZjXSIw6M1o2Q9f0W6OQuKbociOKELvpUBuxVHgnHI8ldjdcI9KXF6QiqjoBkwt5OoE9dOwM4KYPuolr8bq2Jizc+zfx+94Tr8/6eXanSyyQhmUHmrvUi2qpumF733AVHsiEJp2HJQ0zUTTu6E73V4+uxb7rtgjzq7zvBUlCkRSAK2ZNinbL/i1YtOP32EsjmA6BbRZaVCqX20QNdIHq22EWt+rRUCh3dDsfsgnsiGw3NL5nwkjddu1pNwOgm3nCIb8Q14Tbm1umhE3teuHIMcOGyiNsdkdG7xXHGb/HFq8Pk0tz2+8MM5DIuxsBmZ3RjVzDn3jiCTz00ENYu3at6I/NAts6tEmYqJ/qQsiuGP28U34RYr5qTO3iFJ7LirVVaOmj0VBHfiPYvZzm218J2YvQEXZDjutw4koSvNEMgtcILnWy4ZWDSFVEIEVVQW9PHykc8dhxKJBCWHvuG6gcMQl9AafTnUjhpsl7ZoGtnBt2gyZLYbF4RXXF+s8td1gR2FJB976nZtGyC+Qc2w+FVEfwDqkQ2Y4uUXtqoP5UI+ZP355LD/5WNa1bduuqe9fceanXuL+jpZMPhaxj8YixhknzL077GIk2q4RbJiSts4CO1n16iIYCiWusnv4clA7f1rBP/K9G0n07WhtRncFt2ggFqsCmut6QWHgs0v1/huDqJPojoQDsTnevdScxQlDNlCDcSf4ZvXkcbXn+dizcf4/wMElXZlU5IjfHc4YZiORdYFMd9sMPP4ynn34ara2tqKiowJVXXil+MtYhqf1To47ug7I871tYEWhDVc00XfWzvebemsf6TDe5j9DFRnUWZYxRc/Uj8NtsmKLz+ZrgjWcQvEbQJhteKYyWFE6lUlRZpY+rxi7pIrkFos6/52qAjaVwt+tsTVVmcvFKf2p2QVQRsfZC68pGNIGoZTeYJdyqGOe120uzCmzTqO25zPpSBNubEinmemJgbm8h/LJbLAB1NB/oJLAlLRvEwf4RgwHNTDGdeZ5RYiFlXAnZPLqi7zuW3IeF236D970LUPGlh3V/TkeTcl62yuTgndux6vEWJhYe/W2NugR22dAx+OzM/yIaCUKb5UT/ehRGog7vL3oYo6cv0P35Gx7+Ospb16B51o2YeMx5hradRL3ZMoKweg2gsSDXUgSXrww7pBGdfDTMYA8pY5nMC3wM0/sCOxqN4o033hDR6vfeew+yLOO0007DBRdcgHnz5rHBWR6QtChHigj2qNq56Os0HPU9HAz7UTVBf32pqfYdHME2hdH+yZrgjWUQvEZwew8JnVCwHQVdnHxtmqBPcfznUoZA9YvyY5cibCtA1ZdfRj7QUrizCf9CNXZPtb9G2DH289gZbMaQ6jG6X2OXlY7n7mLrEuO17AJt8cX0+7QpZQodjnIM0VHjfmDHp4iFg4aclCXVdTziyvxdN951PLzxDoQufqpTvWSkXYmAt9uKoFeit4l67xCC6mvztVjFZD7fWw7sgMdXhqpRh5YTt3/8BuKr70OwfKpuB3uzaO70VpnnJQwn1RZkWVHbETrStJ9LR6BFcd5usZXkvPBF15tWyYdytCmLVdXZ65opU4RS+VMbKxrLjCtrXYep0bV4R12c0MPmVc/hsBVfxU7HGJTf8AbMEPErnxfQu68yMGbWCcCsFdA/6qfGEVZc0ePesowtGNve/QdinlLUXmC+5zbDDCQsFdhUa/3YY4+JW11dHUaOHInFixeLv7/xjW9g9Gjz5g9MZmxqBFtOEcHuD4yf/bm8vv+mM59HNNiB6lxMQxjdTDj//7Aj+H2MscgQiCIiMVkSLrFhf1sKga2IUzlDlM9MGQL1kZ4W34r2mBeBvBn8UfZGS8btoqhIoewXi0TuwnITfXWNUXLjUtHzfCR9oEXIE07Fkn3D4R07L6f3kRIGbNnjMvW714s+4KJ2f2aK2v00ONTesXFP5myBkdFd8ElBrPF3dimPqinmAQMCOyB5leMz0Pm9hp34VaxuuBBDijjrK9/sWXovFu25C+8WnYaqL/zj0L45uBkLO97A6qgxN3ozaIvAboTocMgZzXAyateX3q71d3fGjI144Sald3SbvcySzJJ9jtFoirfT4Gf6PcJq27WYQW+XwpgStXUV668ptjk8IsPKo2YamSGiXgOC8CQluvcu7ogisCVv+utOsKUO85qfEhFzgAU2w1gqsH/84x/jySefhMfjEa25zj33XMyZMweSJOG5557jbzvPxO0uNKEI8LBxXNqetExOzraFm59Ey/CFmHrGN7I+n+rdHBb2i6WIhl/t5061yl2JjTsZS/dWwDv6KEvLELRoN0WZ84W2XZki64GO1kQLmoI89IlPhdU1ixPnUosvpc1XLjiCSn1zzJM9fd2l1qunq91PR2TobKyMBeEcltkcjSJNPgQTqZ0a8UCz4RruIHV7iAHRLn10SyqGixvTA6RpbSSHrTVtzLgJqsB1yyG1QWBuGO2wkOjvbjCCLctR7McQNBVO1t3aKhNaxpDeM2jvlo/Q+uGjkMvGovak6ztF7bUovl7K4s1iMdNTcqilaTacqk+IRza/FBsNtiXS+fuKwPbGlPHIXpBeYHtKlIWIErkFOl1aGGbAY5nAfvfdd1FbWysi1SSsHV1qJJn8MuXS3yGK36FzglT/Yeead+DfvwFFow7DiImze3tzmC7EW3bgsPD7eLfBOtMro1CEjwR2pEuEj5g8/xIAdMviYh2nyZb+aatmDEZGYc58RrBFpCl95INqcvdetxmB9iYUe4wZ9TUd2CnqegvLh+XW9qWP4A4p0WX4huRcu5+O2lNuBEC3zAS1xRF1YnzoATXF3KnfCbjNXY09/mZIUn7bQDHpkdQMmK7Oy1LUWtPGTHgKS7DePhkhuw+WLKsYNMlzaCnqBmvAp5zwJcjHXYUxEWvM2YzStmcNFhx4AJ81zgBUgS2i9tFDUXy9bQArJWUspjFTL27VoNInB0xnO3lKh2F58RmIeqtynss11++B47GLYEMMBYtXmH6fwphivObKkDnlU03tStEuMp/6g6Ecw+Qby1QwCWuqub7qqqtQUlKC008/Heeddx5mzZpl1UcwA5jQh/djQeuLWNL2ZcsFdlvzQex+7feQXUV5r58bqGip110jO+lY++ztcDVvhuOwyzFm5vGWbMP6cddiXTyCYRUjeqxNlFEHXjM4LvoX6kt9GCf5stYYOg1M+DSaXvwxju54DW+PugWlZ3036/P3bF4N2xs/QmvRhLSusWZob6kX9a0UoUuubzWKf9zpeKduJHyjZudcu29Nej+loHZeHBl27FVYsecYeA2k84+5+iHxc2KX+9e/8U/IrbtRPP1MjJhwuCXbzaRGcqXpHawuyvVEHbzIVujSCz0Xqo68CO8OmwZPkb50Z0ciEhs0lWmUq8GZlanwiai9gQh2497NGEnzBtmLwmL9ZRlunzLWFEoBdJg0OhPn94S7YQU2mwNj5Z3i9/0GFhe7UqS2XvMUpV/Q9CT5goQCbXCoLvAMM5ixTGB/7nOfE7ft27fj8ccfF67h5B4+duxYNDQ0IBxWXJwZJhWaQ6XmmGsl7Y37sLDuX2hGISJggW0GSeupqbMur7RuGWaFV2NpfW71tsnUZqglPrBrvfhZMqQmbXuTlhEnYlnTGBRU628popnjUC1fvtwNKqpHoazMh6amDkSj5usN06EZzek9t/wHt+HYyEfY2GIkqTo7O5c/hEVbf4X3vfOBLz1i+n2mHH+1ZbX7qYhFo+hoPQhvYVnWFlsivV84NXdetCmtqhE3Kyjd/DhmRD7G0pJRAAvsvGJzqvXHalvHrhFsq0wbe5Ihw8eLm16cagTbKwcsSVE3y/rHvodR9W9ix4SrUXvKDdlfkCIVXkvplw0YK7bt3yR+7rcPR6kBc09PUvtEKulJ7gTQGyRfB6m/ttdEy0E5Hsf6wqNFHXZR2VBd7SbD1CueBTbDWO8iPmbMGHzrW9/C1772Nbz11lv4z3/+g507dwoH8QULFgg38eOPPx6FhcogzljD1vuuQkH4IKLH/QQjJ+XHiTufxNUIqWTQWEUPUXVlm1ykjXlhMxqS6izr1Olsq/Xe1Hpx5hvP89dhfHwb3jvqLoyfc2bK59Se/jXD7xsPG3TgzRM71yxFdNXfESqvRe3Z3zf02ri2eKU6u2cj2q65dJfByimi5EydfptPstXup6Jh32ZMe/Yk0cPaf/OWjM+N0AQ+ljm9P1e0c87GHRDyjk2NvnYd52yxUFYTxYGCr7QSy0rPQ9xVqLst44Gd61H13EWoc45E9fUvWbIdjlAjRst7sEM1NcyGJqKTU+FDlbPwfjwIR/nYrK/vaGnA7g9fQDwWVGrJPTUwku9Ci3kR2Q4n9e72mxPYQX8bYpGwaNuXa891Z1ImAXlEeNUIu9Hxc+xVD+h6XgBuMc6GA/kbCxmmP5G3QmmqwT7ppJPEjRzFn3jiCXF77bXX4HK58Morr2D4cDZusYoR/s8wUt6PVQZ63fYlZDUyYNMpAoygmUeFJDcG/vQoP2iTe/0CO9ipp6sVHNi1Af6mvSiuHofyLm1btJ6xdqsFvQQ0oAQBx6HohNWse+tB2PeuBMaegHFzzk75HH/dJizoeAMfR5TaXlPZITrT++FXapxDTmvTqW3qvnGoYsUMkXAQ+7d+BF/ZMJRV1uhqH5epdj8VoQ7lO+6QfFk91P2eKuyNVEFydLYkWvfynfTNY9iR5+uue1/36l0YtuVh7Ks+HrXn/6T7sa1mkTD5w64uJLq6RLBt2rnTQxHsjr8cg1K5GXvOfhpVNebLKYgtH7yEcMMOlIw/BsPHZzbtIwpLhmDS5X8y9BkdDTtRiSYEotaN94mFQZ2ZN4l+8UkCu/aMr+v7rHgMsYfOxfz4Niwd8nnYb/oIo+MxQ9tLY9FnniPE72bP1G0v/wYL992D5SVnYuIVdyEXKEU9ILuE/0Q4SwtIKzA6zjLMQKdHnMiqq6tFu64bb7xRmKFRVJt6YzPWoTlXujyF/bzGN5C32qwIC2wLJp769o82QbVS8Ppfuw1z/EuwZMw3Ud5l4pT4vAxRPuqJHOhohtPpga9EX23d5AWXIb7gMuS1weDO5Ti66WkstRcBaQS2HFCcXMMO/aZZideqkWOtV7huUySHtWOJTd0Op4naTo2m/dtF2y090WWNdaO/gPWxMIbprF+P+BWB7Zd8WcsCxn/hXvFzcpf7a7fcLQTHh2Pm6DeWCzRhYnwLGtrHpzm2+2cLxv5EcdUYLKn+IuSCKkxNun/UxX/A1sDPMMaZW1RRL4VymzCM2h7MPRpo+/QhLOx4E2+Hv6ZLYJshrPbAbrVXWLaIbTSrLZd+8Q37tmBqfJv43e3fJ36aqaEeee1TyAVJHXu1/z1XgmLOEzbUmjKZaFTxBNdjWtZ4/tNocboxVDU8Y5jBTo9afVPLrmOPPVbcrOQHP/hBtxrvc845R6SkDxaoDQ2FW5wF/VNgQ43O6DXRMoLWlkn0QWZMobVuEQeZDqjFjNWiIGpXjhFZ7fmejAehTi1uUrHtuf/FgoP/xjsVF2HypXegr3AohTvDRDLUYtiV2qxBXWKianG0Tlv8cKnlA2bwN+8XP5ulUt1tbKae+S1DnxH1K665AVt2gZ2OErlVnCoFJQYmm+oilkOt99XQzKYcHhbY+aZi2DhUXPiz7rvG7e1R866Q6CTdkrF1n160814r0dBDS8NehPxtKKsendWHgNBKJMLqGN0bWW1SIo3f062OOBaPZRSJrXuVumtqdTr26gfRW9jUcz/usOZcp7I4oA0Rk8fR1pXPYt7qr+JT5ywMvf6FrOcOwzCH6Pe9tLT08x/96EcoKjo0+RxM6eeU3uSTlIuLW3UA7W/ksz4zUUfbAz1MByo1tcdi3+QtKNJZF+ZOCF7rJlxxh/JeNnWVPxmPHFYWmDKIkEMTtt5pI5NNACfSUFMghRXRFzMhsLVzS6/AtqkRI1n9vvOdfmuEiBrJ99sK89YnNqb2oQ7ZC02nsbukWDfjI70+B12NBMViFR3biUUuZqATUlsKaiaLuaBdUzWjSj2UPnIyhqAFq09+Speni6yOyVELXdaNZrVVn/hNfNh4KSqTFrXWvXAH5m/7HVYVHo9xV92f9rXheiUbZpt7KqyxJjRH4n+1qBykwTEUkZhTBLfMEFPLhWI2brvFMINOYG/cuBEejweXXXYZbAYcHwcSlPqaqi1Nf6Ji8kIstf8MnnLrL2+Ji7/apokxjtLiQ/9w4VFFgcPCCLYmsKUuEWxyfXZLSiqbM0OJxCEhq78MYe1Lf8SQnS+iYfSZqD3tZuQFNY3e3iVymYxDFdhxt/FacF/N4VjaejlQqa+WU9JqD53WLkg51MUWN4LU2coU8aDyPYQMRMoa9m8Xke/CihqUVWZP15ZDymeEdaTIr/vv3Ri65WHsrz4Btef9WNm2JDM1VxpH+0wtopJ9Dij65tUWqwz2P2eMQ2PJwd3rEQ36MXzS7ESa8LqnboOjYx8Kjr7O8jaSqdBMFbu2fzODGcPJZls5hsRbEGzcm5de28ay2vQtyKV07rc7YZPk7m3XuiC17hI//b7c5h9b7/sCZrQvwwe138eUE681/HqHmj0kq272uVL15ZfFT7P/lexvFD9DOjxIaCy0H/gUrhkXWNaak2H6M/1eYG/atEm0Ahus4lpzniSoHU1v9aDMlaqayeKWD0bMuQAfjjo8Y/owYy11V64SaWll5elbe5iuJe4yWaIWJBruTGm0qsDONtlKxt68FdOin2Fpa35qF5O3K1OE2RNWIgmS13h/0VHT5gN008nEK+/GgXgck+LWtgwrLB8mDIRokSC5vtUI8aAy1oXt+s/ltpd+oNTuj/0WynQ4yUuqwI46swtsueMgJsU2o7HtUN10WK2bFY7COtJrNexpWkR9ctJjIlV4ZJm+PsaMeSLhAGa8cJr4fdeodfAUKBkjw/a/jonxrXi36XQAPSCwaTFYuNPnniKeMJw0kE3U5qwEQtsQadmT9/rndNgLyrAXVQi7zJstaosK2TLj7JE20wuYydjkGAqkEGR1nDKKlr3SU903smELNomfER37oGDXmzgy8A6W7JkEsMBmmIEhsCsrK/Gvf/0LW7ZswYgRI3DhhReiokKfidFAIBruQAt8iEs2Xa66g43isipxY3Jj04OLURDYA9fpv0bliEkZn6uYiFl7DqarJab0NxJuZOI1McMCkxYhtBsoQ9CMwTRxnw+0yVQmgV0YUSIJzrKReduOTttks8Fu8VhSUjEcJZf8Oqf3kMPKxDViQGAnavfD+tp02SunYEXrCYgOVRyBMyGpojg5jZX6wBJBg0nsmlO/Ox7otB9qphxj6H0Y87iSsgTIeVkT2PkwbcyEVs4U1+mgnQl3osOC/nMm4KmmAl6gTTH8yobsLsEOaQSiPusWgSYvuhJYdCUm6nz++tfvQbxtH8pmno1h42Z2MlZ0ZPF9iFbNwspIO+zV03La5ohWO62OU0Zxque+rY8EA+whxfAx7skusBPZCyk8UhhmMDIgUsRJWM+YMQNTpkzByy+/jHvvvRePPvqo6MltBoej90Wq3W7r9DMTw0ZPQfyrm/r1Dm1vqcfuj18DbHZMmX8RBitG9ntPU9O6CjXyPnzQtAeO0bm1jjGDTRXIFI1IPkcLi0sw/fLfZn29ZrhGKZN6z/Hk+sV8jQta+yqKNKX7jPKb3sKW+r0YU1hmeDvCoQCa6nYgHo9j2BizseO+gU0VyTFnoe7vIa6lmkb9ul4z9fjLAbrp2R41Y8IZCyTeW+vHG5Q8GT+v67nu8ZWgEUXw24tR3AeuQYMTG0KyU5ScxJKOF820kVL+cx0H9IzxHYVjsSHaDGdBac6fZ2bbY76h5LEGZ6BO12tmnvc9AN+DImt7h/LNj2FadA2WDxkPx6TDOkXtKSsk0/8x4/SbANAtN6h3OGGLtHf7PD37vbHqWKxqrkRh9XhLrjdrHvomhjW8i7rpN6L2+CsNv94RUzIoJHdR1u2JqYsLlM3QF+bQfYG+PJ9j8k9/1WMJrr/+eiGkJ09W0osvvfRSXHzxxfj1r3+NP//5z4bfz2aTUFbWN1YPieLi/pnybZTG3Z9i7upvoB6lKDvrKkvf+9O3n0T7jtUom7wAU44+Bf2BvrjfD9iLgeg+2CKtGc+RpoP7sOnhbyPuKsYxN/zFss8fNmMh3o20wDN8qqlz1Fdckphs6X29lq7r8hXlbVyYceIl2DVzPoYVlWX8jIoKc/4KG95fgSnPn4e9UhXKblUW4jLx3l+/DFfHXhSf/D1MmDUPVkH1xPt2bEQ42I6RE2bC4TRuU1ZauxDvIQzv2KN17w+bWpfvkIOW70NvkXZMHXpv57TDsCb+EGTEMV3H52nnetm8E4F5u1He5Vxa/+KdsBWU4+iLvmnptjOpaZFccCMCtyOe2KdNULqUlFVUWHYMZRrj59/yd8t2z6cn3IE9HY0YP/UwlOjcdu/wScBeoLJjQ5+aD2WiXt1HvpLSxDYXlZYlFhl64v+we9XxIO5P+3mZ9vuC639j6fZ4g3UYH9+Og8F6U///oetfcdbXa+OskevrYKEvzueY/NPvBfapp57a6W+qxV64cCGefPJJU+8Xj8tobc297ilXaMWLTsrW1gBiMWtrIfsioag9cSFsarI2xajto2dwLPUZDrSjepJ1gmGw7feAENhAR+OBjPto787tOKrxOVG20NSUW0pwMhWjDhc3Ivnzg4F2tDXsg6ugCCUZar7txSOwougUhIvHokrnMaaliEfgsvy4TGyX3YuaCTPEPs/HZ4TjDkPnVvXBdzE2vgMr675o6faQwK66by4cUhxbPr8C5V0NiXQwcuapAN26HAOZiErK5EYOtut6TUdbE1zuAjh1OOZHZFcign3ovV0YPvW4rNuo51zftXk95m67EwdRhqaTbsi6PUzuhOFGCTrQXN+A4qqOTk7uwYgt53Oip8f4kTNOEj/pk/Rue/nERcD7wLjoVmzfsiXjuJov9mz6CK5XvoKAowSjbngu6/OdaolNOGZP/J/a2OeKBzP+70F/u/BLUMw8zRO1qUacobZun5duv1MXmHWv3IUh009CtcU+NBG1NWnY33179NBeOhUfxcKQikZkfb1mzEc+Gfm6VvY3+vJ8jjEH7U+9GQn9WmC3t7fjJz/5Ca655hrU1tYm7m9paUFZmbJyaYZotO+cCHRSZtuebatfhWfVH9FSOh1TLr4d/RG7WivlQRjNFn//iTpau6dP7dtc93tPE1XrAmMhf8ZtC/m1GlQ3bD3wP+z8bBmOXn61UgO4eEXa5w0dezgw9l7xu97vNmGI5sj/sZNun+9cuxzye3+Cf8hM1J79fcPva1Nr18nZ3a/jf6DJKCE5vJb/z3RMFCKAYEdbjx3fySniej6z41/nYmRsE5bP/hMmHnOerhps+s7M/j+ZznXqRSx+0kS5j40HA5UwfdeyUktP+4UWhsrUNphU02vVcdsXx3iNovLhWFZ2PqKl4zFacmTdzi33X4OqjnWoO/y7mHDMOZZsQyQSxvTYZtTHSnV9T1qdfPI+cvkq8LHrCATcQzA+w3sE7jkZw+I78N4xf8f42Z8zvc2a+7cjohw7evb7uidvw8J9/8D2Tfej5coX4PEW5yz0E5+ltSaNBEwda1PO+0ni92yvj2seKTrH2cFEXz7XmfzRrwsDCgsLsX79evz1r3+FLCuNX3bu3IlnnnkG55xjzSDfHwg17sLMyEcoblmL/opLq2WUYoiGre1TnDCPUi8AjDmi6vcnpehDnQwJ8MRE1UKo/dGeTR9g98b3O90fT3ye9X3OY5ITAdmVcHjOBy31e/Hu37+Kzx5JLZ479n6GIwNLUVL3rqn3d6m15x6EhFjQ28Nca6tlJUFJifhSGyQzHNyzGQ37tiJk4PWaCO7aXzod3rgSfXF4svccdxYUowlFCNgOOY7v2/qJaO+2ZdXzMAL9T3V3fw6Ndx2faL2onUuhPBzbTGq0cSSmOniTh0HX61S+WfvCbxH982FY/xjVNpuHerKve+3v2LDk36IFmREmXfZHTD39q/AVZe9cUBzYhXHxnYhnuTYYQev6odWQ6x63kszcqDPJ8Ouexfgv3Jv5tXHjRnCpcJbXYK1jKjqKxul+TWHjp+LnriELMeb+mRh69xjhSWMFcYdyLEtR/caeZtH6rGcy62SYwUS/jmATv/nNb7B48WKcffbZwkF85cqVOPnkk3HFFVdgsCCH1bYwBnrD9jWSJy6hUAccOtIz9ZIY8PPoBD0YiGktWLIJbG1iKnlgpSyo27oas9/6vGjdgkkfHvo81bU0rK3Wp4HEJbX0IiGj11V+2PXPg+LxE5A/gv5WzN1zH9plLwL4WfcntCq9aP0ec2maTrUXs12SEYmEsrby09Jh89HWLiSOiBbR+cAM0nM3YEpsPZbN+h0mzb9Y12sKRx2GpS1XAkMyO99rFMjKtpHBVDbI4Ts6ZR2GJN3XvOkdLNr6K3y452hgzpnQi8PhwvSoMtneEmiH2+tDTBvbLV6sYtKzu+Yc7PXXo7RSMUml82XL51cJV/Fy1VU870QCGIZ6bA/mJrQC7U1YuOE28Xvd/EuRL7RWYFa6X2t93ymrTY9k86jjlsNEv3iP+gnOHBdQJsw5C5hzFioNvKYqvEP8lKqnAweV+7w+863JkpFVgW3TubiYCzXHXoY1005BmY4FGYYZDPR7ga05h3/88cdoaGjAt7/9bYwff6gn6aBAFRiJNgn9EKfTLfp4kwgIBwPwFeXh4q+usDLm0FLApCwr1IcEtrWiQItMUKQiOQ4rh9U66SwCu7FuO6Y8uRBh2YGWm7ejr6BN6ijC7I/Hu7Xac3QorXIiBcNMvb87adJLPZqzCWya0CrbVZC39NtoUlTQCJ64cmzZvfoHCNHmykCrq0LZLybqbpOTXM1FPGqwJzClhWoO1pGQMqbH1WM7bOPFwZ5i6pnf6vQ3nY/F5ebOPdOowsiepb1UNmhRgAjKTthsis+JEQ7s2oCGta+h+rAzUV49WkcrMOvGDKfmAK5mtWVadKfFUxo/kzN2jOCl7adFRdWoqycpibeIz7Z5FBPLDjn3WvAEjtyiyuE/z0ap3IyNJz2MkVOOyvjcwpIh4sYwzAAR2ITL5cKcOXMwaFEjirF+HMGmSQz1jfUhhEhQX79aowJbyiIsmMyMP+//sN92O6ZkufjHdQpeo2iRCVFLnHS/rB7/Wo14OrTJk0uKIhqNwOFwoi9lb5D5V6oIc0GwTvmlyNwknyamEdkuJqoksJFhEkQTWXpe8nZZSdjmBmK0CGMugu0l8Sui8opbr9VQSq1HiiifVWhOYGslFGYWPIOqg7XWS/vQsc0R7MGEpGZb5ZpuG6HzXRxX5o4f6cVbsDC6FkskG8pPuTHt87Q0boeFArVzVps/a1bbRyc8imioAzWlh+LHNM4X3jVVLBruuuJ9FCU9lmwyVqDW2Lu8PSuwafuKJOV6eeSqrwqh3SEV0A9r8JQIg0Szc0Mv/PBJIdhMdHxgmMHOgBDYgx3qO0jE+nmE9sPa7wOSHTWl+tJ3jbaasPfz76e3IZdVPeRLFGgRDTfC6EiK9Mo6BY07acJGQtOhQ0Dt/geZXEkoPPdPKB0yIsf/QN92dRXYJZED4qerbKTpz3hvyAW0ioURWeqqqTxDIx8CO+E0qy7CGKVAjS67CooNiebGfdsQjQQxYoLiQp8ppVZDT5omvXfDfecLkzPvlU/D6yuGFFH+t7gaPTJCEB7hYB1Vs0DkiLloOGOe1qYDCLQ2wFtUjuLyalHz3/DGbxErqELtebf2yFer1bM61MVhs2jHUYgMJ028vn7I0cD+tSja+SrWPbEfxbPOTXkOaSnWDgsj2C6XB3FZgk1ktfnhK0pvXEvXglFTj+12Py2ikrimRcOI6meQLspPeAyMK6lorNuB8sfPhB1RxG5al/X5/tbGxO+08Cvukwpg1chbe+pi4NTF0Fcc0x2PHFYj+9n3a8P+7Ti45C6Rll57/iFzNIYZrLDAHgDYVYEh93MTryknXpuX92098fdY2dGIKnKRZvLOuAVfwPqZn0ORiZTETGipfxTpjUbDCcGvCZpYluM/WbiSkC3IIrAp7XBm8H1RtrBJhzmYWagdVFi2w5UmwlwRrxeTnIKKUaY/Y8qlv9P1PDI02v/l7aJW3eO0PmraWHMqlrZORWGV8ap22h/kQE54CvRHsBv2bsaMF04TbePCEzZkfG4ooLh2+2W3rjRNqpueFv5UiICN/jZFYKsLnlpJhRFCiRR6ZUwfNudCrBg+A57CCsPvxZjj4HPfxzFtr2DJyMUoPucHaKvfjXnNz2BXC2WQ9JDAVoWqM8cUce04ouPKzOzAO+F4YP8/cXhoFbB/FbYe+C/kce90K2PxqvXPVkaA6TMOSMpxH4+a/x4oM86JACJpjBHJA0PDlWNZDC0CV0JZpNuXJa2d8Ld2r7EP2nyWCexcoPFWi+zr8eMINB/AgoMPiog5wAKbYVhgDwjiiMo2cuXp7Q3pk4ycdGRvb8KAYPsnb0L+4B4Ei8ej9gLFOCcVZM5EN6txJb1nONCRENiO4bOw3H82YiPmZJ2wkXCiSYNW45oJStcmcZ1sFJYvKIXTBX8iNThxv78NJWptYUmVeYFtBBKWXkdukZx01J7+NdOvpX7nJGQJj4H0ba00gOoslery9Ngdbqz0HQ8ZdujxAaZjKgA3fAgiEmzrZChkZsFTq1HXUujLqkaJG9NzJDJhtIW7hNGcy1LTxkzYXd5O5U1m0bY9bFJgj6ydh9hSxRuF2FM+D5NTpFjX2SpFmrjLgDeCHuw3fSR+VujIOtiz5B6REi2itknQ4kIRCew0Y77NZsOqgoWwxaMYleOisDcpAh7wt6LIVZnVf2NZ6bmY1/x04r6go4eM9LJg1D3fqe57jxzUZUrHMAMdFtgDgIlX3IXGeByTaWbWj9m55h0EW+pQOWEOTyr7IKHmvZjvfwtrwta0EDEKRQtpIYki2OFQB3zqtEv0Ks7Srzi5xrVA1PlnbycjoskpjMLyAaVwAv5ESqeGp6AITYu3oqVhP8pM1gRrE9AQTfjKqsV79kdCHS3iJ5khJqfVZ8OjTvwoQ4BSujOVOpCRU/lVDxjaroCkCWzleLGrEWzZRNeCgL0YzfFCXe3UmHybOaqZCEldEXoKl68c26WRaHEPRy5+0vFQbn4YFIFdNukHmL3xt/hg6KWovfD/uj2HzNM8i1eJ33trZGmr34WFu/+MepRA7iqwxdh6KJrfFTKwK776IUu2g74vMpQjHwcx3qao+U6mYugYVFx+J955ZwHmf/xNcV9r5dGwqhhp9/qVcL/9Q3S4KjHm6n8bem0o6fqnR2BrC+AFCCKQwqyTYQYbLLAHCDSYWWaM0Ut43vkpZkfXYFns15YK7LXP/Uq4so5bdHW/FRd9AZuWtqg6xqZj49KHIe9ZCfu44zHhqLMtPcaXD70SkBwYZVLwKpOttrSTrVQCmwzCrGwbl4r2i/+DA4EoKqvGpZzAllXmNuWKPnoJpsY2YfkRf8TEueenfd7+7WsQePMXCBUMw5RLfg2r8bc3I9DWKKLKeluladicbiytuFhEmiYZmLy5k9JWqZe6Xi8Bo63HImp6uevYW7Cs/mwMGTnN8HsNvf4FkMXaRPXvLateQOjgZhRPOBYjJw1iI88eRFbr3W3RzgI70oNGc6OmzQemvZdzqnDFhKPwTuwXsHtLOrWSM0LtKTei/aTrUWtxyY+VJFLh4UFXO64Q7be4eWNFo5BJmQctCKsLgnrwDRkrfjaiGLXnfN+ybaEF28Oja7E7ZrzFo2Y2S1039BiCauUBohNMOAh3HrpQMEx/ggU202fQVtnjamqeFcSiUSza+Ufx+5ajL2GBnQN2tU0WGTplZOc7mN/8DJY4CwELBTZRe+HPUkZnIcvwFpZkFU9byxZiZ7gVBTpqeLVWUlTDl2/GTp2DpqYORKP5iVwmzMWynFuBpj04yv8Wtgdq8rIdu567DfMb/4OllZej+OJfGnotCfJinbXkydDiiNb+iqJKmVrJkKuveI0Bh/kQjVs0gVdTUEVJilVlKWsfx6L2/2JJ9CaABXbP0MXBWztnsnUp6IuICOlQpZ93Lmgtvja89QDkA5+h9KgrMXTMdOSbTQ/eiPL2jWib+z8YM+sEXanwrrTGiqkXVSnFnTDTxiwVAckLyC0IB7IL7I62RsQiIRRXK/uoHK3Y2dEqvBysQDOdc5FZmUEkmx0fuw6HDJuuiLo7qTyAFjJZYDODHc7hGABs/Pdi7LznYuzZ9AH6M9oERk5zITQDmTVp5KMueDDh0Fy8s0SwE61lTLgom6H5yZsw/uHZ2PzmPVmfO+myP2LcVfdh6Jjs0UWtZi8k9V6Lkm2rX8X2f16Odc/nFk2O2t0ZJ5kaMXVRQbTTygPkMEtI0Z6t0vOrk+yuNe5d2fz2/Rh291js+scFut87RBPqpEm+lTjUc0nuoXOJoS+9s8CWVcf7qIm2awON0g0PYcHBf6N52wedsl5a/7rA0Dmjl5KOrZgS24Bwq9qqMA0x9TqfatyqL5qKT5yHwVGQ2oV887tPoPqvo7H/b6dbss0BSTlXI4FD5mnp2PnfP2L8w3NQ9/yPUIdy7EE1Wuv3IB+tLY1C5TLDr3sOI657Rt9nOZxiIZMIq9k8DDOY4Qj2AGBUyyrUyPuwyq8/JakvElNFgGzh5Duc1FPbyX2wc0LrcepGiFoZZxfYJmpQ9bQCCXU0o6RqdKJti9bKRmttYxUUWaD0uJDUPe3Qat5/4e8I7PwUvulnoWbKMYn7g/vXY6H/bbxfp7RwyXnxKksEOxbRDJ3yIyY04y/NCMwIZPjW0doAj69YuJ0beq1I425LpD2mI66K5LhNfwSbTIlaoz7IsuKBsWHpQ5AjQVTPONVwav+6F3+Pst2vomnceag96To44oFOrtJMz0ewpaj5vuZmaWs+COmhc+CSQ3DeuMp0PeveTR+ibf96FA2dguETj8h5u9q9w4G2TyE370jcF2pvxIz4NuzVYRxpFK3VY7bMG+3xVOPWpMvv1HfOS9ZEsOt9kxAJeGDXcc7aQqqvhLsUm0sXYEzzeygsr4bVrS09CKlWmfmF/CjciGQdZxlmMMACewBAro2Ew21di4zeQJvAaG1urEDrcRmQXZalgA1WtF6Y1JKlvZcEtvT01ZhFtcSz/6SYmyW1stEjQsg8itzBJUnKmk5OfVVbpm6HQ00hzCeOzx7HgsB7WFJcAyQJbDmkREEizty8AxLiIMu5pUXr8lZv2kW8GGHH+89h/qffwRrHdPi+/LKh124afh42RzowpDTz5FVSJ9tRAxHjkdc+JSavmrtyzad/wGh5D1aWjzIssG0t2zEj8gmWNs4UfztioU7+B0z+8Y2YhmUHz0NsSK34e/QJN2JtywUod/acwLY7nBgt7xS/7w4FTGdftX70OBYcuB/Ldp0PWCCww76RtE4FR/vuxH3RkHI1oIVI/ctS1ma1aZk5WqaOEWR1YSBqs+Z6NeEL/xA/M9ubKTgiisCW3SWYdPEvxfXJZaE5mNZBgXpsU/mLkdIXM2w/9WFx7FYMG5/Xz2GY/gAL7IEisKVDbRL6K3HVXEbra2wFUfXiSW2QmNxwae2OpDBa47G0CxZaaxlbHtrGRdX9GFeFYPLnaa1tMrHrn5didnA5lkz4PmpPvUnXZ/bEwowmgGW1p33XCEfUVWzN4lWWc0v7/LzVm6oRbC312QjatplxRK4978f6nqhG8GP2gpwXPO0mjPhkbT+p349mKGjLw2IVk5pR0xYAdFMpKCwVt54k2bWZ3JzNCuyEE7qJlnEpKRkB7AcKgodSthMu63kYMxJp+dkW3XOok5fVcz6awzlvFldYzTr0KMeX1c7byd0WyLTTYeA43vTuk5jxwXex2TNdLCLqYcSEw01tJ8MMRFhg93NoxZPaInTtE9wfSdRnmkgfTUdUFWLkHs3x69ygFk/br/hYuDI7MohOTfDmI61VE1fJQpTSKAk9KXmJMgQLF3GsIKZFTLsIbHtYiWDLOQrsxOJVtgi21vs3T+mw2jGhpfUbQYti5bMW1hZV00Wd5sdSKqEgnGYEtrOzg7VLzc6wq6mezOCAIo1UnkKRRyXd1pjjvoZ2HJnpyZ4Ku1rH7IkdymGKq/XP+ch66dqTPB1DZ5+LFdWT4Crs3jF7/WPfxcyDT+PjEVeg9twfdXtcUsfcmFWLEAbwxJRaZVtBfhZwXG4v2mUvwpJTnQvp/5x4qANFUgAOdQxiGMYYLLD7OdQOgdoiJLdJ6K94as/AkqIR8I48zPL2HWHJBY4B5QZFcn0l3ScwXXEmBK/137gmrpJTBt3q52k14pmI6RSaWosk1yf/RFvFYZh67g+RT9KZf7nDTcrjntQGPboZOQfLYyHYhs/O+DTte8mXwNYisdoijBE0b4aYiShVe0s9/K318BZVZOxNa1OjWbKB7It1r96F0u3Po3nUqag97RZRQiEyigz06tbQhJCWQn9o8ah/L572JyiVtq3pAOLRECqGjcOGN++HfHAN3JNPxdgMTtZWEwQ5YkcR0dFSMB2HerJbs0Dj8CoCzRtPEthqWUXEohRrMwuD1NYzXWtPKR5GCToghVMXNlktsNc+eztqdz2EDVVnYMpFv8j43AJVYDt9xjwl9EIR8cDNm8TvRpdo4yaymda/+S+gfgN8M87u5CXCMIMRFtj9HGqHkKpNQn9kzIyFAN0spGrMLLwX/TskmwPdOwwz+SB6/r/xSUcLhqutR6xEE1dy0oTLo2ZwaC1JMhHXmSpNhOu34Jjge3i/Mf/DpCasuk4kS8L7xE9neW594ScvuAygWxYmnvUDbA/cguGkEPNAQfVELC85E5GSsbpqFFOLf+ORsoNPfR1HdbyJJaO/itozv532ea6I6n7rzt7GLUHrLsyMfIRlDWNEW0BqBybeS8eCT1c0oz6HmsWzZ/6vscPfhGE1Sj0wk3/2b16Nw18/HwdQDtz0CVw7/iuOnbcLKoGeFNiSG8XoQFT1ETGDdhxJFpUYuHzKQl+h3E6d6TqnZ6ti2ErirkK0yj7IksOyvuZdsakmdrLDmkUsKRZCFRqxOdiQ9bnFcrP46So026U8jyT2q36BXbjlGRweWoklO0d18hJhmMEIC+x+DqWPxWUJETjybmDRH6GI6/jZn+vtzRgwrH/kG3AHD6LolJ9gyPDxadt75IuYo7tAXlN6MhyRNlRk6G+sodUi6ilD0ES8mYipUbQIkxZx0iiJKxOwwqqeWR6iMcRh0KHbCLn0iNb2uZl60kR9ZZcU/K50lE/D6vognJX6TXq07AJnuBmhJPdcKqXINYW+JyOmTPfWRqFkN/EeroMPkd+ETGVO5t25Ex0WLMqAqKypxQfHPwZPYfmhpHW7A/UoRdhlfZpz7YU/Qwg/Q7blpa0fvopQ3XoUjj2qW+RUK7vQfA26EiudgI/8syFVTLBmo9VyHme0PWt539ry0+AO1qGiKn/XTNOYKBfSFlm6eokwzGCEBXY/h1LY6hfvQJicRtG/aW3ch/rtn4pUX3JwZvoeExrexDAcxAdNXwbSCOx8kiplcNLlfzKcim2LZq8r09K1zURMzQqrru2r5Bs/xqbGfagsNVeDqRENh+DvUAx1istye6/eQpsga0ZgRoirCxhaOmg6zJQC2AqUsglPpFkYCYnPkyVR/2j4vZxeUXsr5ymDgDHe2ihfbQCz0egcCjkiiewrszgtFthkttb12kxlETJuwST0HrE1j2Nh64tYEry+W+S0a9lFV2rP+DoAulmD5FWyX1zRtqzp25M/fwfyzaYHvowS/w6EFv3EWNq2ifZ0iSwGFtgMwwJ7IEADtVmX0b7Evs/ewPxPv4vPnDOAqS9Z8p57Nq9G6+ZlcFdNwrgjTrHkPQcziahKhrpAMpWRbS6MPu2blrvvSqPnY6lkg2OUyQUYTWDriGDnEjE1yrgTrsZHY+ejtLi627ldOsRYq6dUbH7n31iw7sf4yDUbxdc9k/Z5a1/8A5wNa+CYfiHGHm79+RKPx+Bva0I0FEBpVY2xFw+bjeVRP2zDjbcbiqvpn1qNtZU4ipTMCV+sBW5fKZYd9jvIkRAmm3AEnjjvErQs+DxGqIsim974mxB2ExZcAYervy+h9g+SWxtRyr+RNoBWMvy658TPXGKbLYffjCXNezFkbGbvhf5OptaQWuaBmc4FprZFFdjJRnC9SWX7OkyMb8W7rQcMvU5bYNbKqvQQV8068zHOMkx/gyPYTJ/BpvYZ1SY0VtCy4U0s2v47rNx3HMACO2dEK5YYEEuTtkgGQQsO/lv8viVyC6xm0rEXAHRToQlwoKNZpONm62tN2IdMwgcH5yJUMS2vEVOjVI0YC2dBFaLRRGWjpUiJcyvzJLNw3zKljVkd9WG2XmA37NuCqU+fAL/sRsfNWwy9dvJxVwKgmwlUV3B7LHME20yvWHeRUk1eGG+BzevDpHkXm9vGLm16goE2LNzyS/H7vgVXmH5PxhhuNUWcCIf8htoA9jUmHHW25e9Ji3C2jv0Yumix8UUyg2z54CUUfPBntBRPxpRLf5v2eQnx7MggsNOMfZSqbWV7LKfqtF6QZASXio62JmFgV1w+NK+tIEXnjThds411zpALh2Nd0xTEi/Uv8SRKsHSYiDLMQIcFdj9n55p3IK+4E/6Syai94Db0Z2xqhEDr/WoJmkNoD4ikwUBY8nbqfdrtcTVFtmsPznzRWLcdU58+DgHZhfabtxoW6Lpa3PRSD+Kda5cjvuJOBEono/a8W3N6L7sqMDWH9+w1m/mJ1mmtqwqkENotntjqqXF3qGmP6Si/axJisGHnBf8V5Td68BYrArtMbkWzhf+Tdi5FZDtHr3sQZ1JqfzjYbqgN4GBgzPaHMFreg/d2LRQCe93jP8KQhhVonHqVYqZoIdH2emEg+FlrzPS45Sweig32SWj3pTbdbP7bCRgR3Y3Pjr0T4444LedtdqpGcD65ndai07LjnQewaOuv8IHnWIy65jHkC619WnLnDT1oqfNDTIyzmnEcwwxmWGD3cwL12zA/8A4+iyr1lf0ZrRWN28IItpk0JyY9UapHjh5qzZJJYJupQc1GKNCB9uY6SDa7MFOLhjoSjrtWY1ePQ6t6yGZi7/YN2PLGv0S/69pTbxL3Beo2Y75/CT6NKEZnuWBX94XWVzkdWrROa6dlNa6kRRfhG2GgtKWt+SBskg1uX7HhKLNNFfaZ0kRDQX/CAdxjoLShsLRK1Fy3S14c2LUBTVtXwlVSbWqy3li3A+3PfwuyZIfnRGVRJQiX4fdhzEPRRFqw80phhIN++HpJYK//z/cxvH4p9k6+BlNOuNrUe2x69wlIDhdqpp9gWRlZg7sGo4N7EKrbCOBzKGjdhKnRtXi7vR55W3TPMm5pvZq1TJ1kxh95OnDk6eQJnxJvvAM+KQjJbs155isegm3SKHQ4StC54Kczttad4megYDjyidZmqyeMx2R1IVdzr2eYwQwL7H6OFknMRw/Knsahmsu4EaIyX0vQ0nzjau0tY9XFOrVQiaiCl1KA8xGd3Lb8ESxYf6uoJcZ1zyR6xIbghpEkO0ottzsyD3/jvngf9oVDmGjZ0Ziexj0bsWDnn7FdopRLRWDHQ8qiWdiee397TRxo0bh05LveNFlgh4Idhib9wUcvFxP5d2b+ynCkrGDYVCzbfw5i5ZNFfXMqqDacILHs9elv0+UpKMKBG7aJ46n13SexYO3/YIN9ImBCYMeiEcwOvisE3nr1XBK+B0yP8mHZ6TTKocrtRePZj6Iu2I7qkZN7dBucgTqMj2/Hnrb9pt/jyA++AZcUw/qRS+D2WtOJoKNwLBB8D46mTZ0WrTQx3BtZbVpmjpapYwSP+t5Od+7jLCHS5hcvR7Z383bsET9jxflNs9ey92QdrSlzZfhRl+CD8fNQXJppaYFhBgcssPs7qsDORw/KnkZLH3XLIbWzce4k0nwHwPfTF0ik2qdZDY+oPVuDUn6ibpJaB6lFWmNJIkTP9G7b6ldx2LLrsNs+AkU3Ls/6/J4yltKO/U4COKS40EacuU/8tB7htHiVqcrbpU428xWto8gzuWSTgRS1GMShZj9ZcceVc9nuKTL8ucL5OEtngrZ6JaJUL5UZronUFmvi6iQ2Iplb0NMWHCh6Gg22JRaPOIbds0y6/E70mbHWZLotmeSRuCZcXuPnTDrk8glAPeDz7xJ/O9XzMh8u63qz2lxanbyJrCkhsCXyv+xZo9ji8D7x01E2Kq+fE0vReUMPO+69FDWBtdh8+I8w6diLdC8u5Lsun2H6Cyyw+zmy6tY4IAS21n8UYcsEdiZ3UcY41ef+FlvlOCYWpJ6wae7iJAryMbh0rSWOqQtMYZ0CW3J4xKTTyjIEK3Cp36cHwUTdnhRqFT+jjiJLe/tmmq5rAt+hCv58EBSCMZrIPtCLJ6483+Euys92NSiCodFeCaXxlnG00omIyZIUl+pgTYTbG8XPkM3DAnsQcqglobmrYUhdfOyaOZIrjiJlUcwXbe4cPbaoFZiZrLaD836OPR1NGDrmsG6P1e1Yh4rnP69cIxav6GZwVqDONtxprmn5ojJWJ376Kq3JLEgHlcdRRgxkY5lYvkgDqtGIzfH8Z3AxzECEBXY/x6ZGErX2CP0ZX3EFloy8SYjhKRaZBSUEdg/U0Q4GfCWZpYdWE02TmbwI7EQtsRrBVp1RhVOqxWUI6x/9FlyBA/DM+xqGTzTeGsqMsKLsDU122iJKBDPuyn3i5y2qwArfiYg5CjAxw/Poe0n+nvIB1csXowNRNdtBL14o+9rlLTb8mVQS0NF6EJFQIK15WbRFEdjtrirDAnvd0z9F2YH3UCwpteExncdjV1xJDtax9oPiZ9hkNJwxTyjQjlCgDXanB7te+qUwOpx4xvd61GxO836wmRTY4YDiYh2jnuw6OiyYcc3vlFmSB88NvVltY2adkPYxmkcMQz064u5ui4vhcBB2SbkSuLzWpIgTO++5CKOC67Ft3h0Ye9hJ3R73tzdjNJTxvXRofgX2xEt/j3bbH1Fr8HUJPw4D+7Vh/3YcWPGwmMPVnv41g5/IMAMLFtj9HElNH+uJXr35hlot1Z7zfUvf0z73FixrOAcVo6jtEJNvhk8+Bh8VKf1b8yHRtNRlmnAlO6NqTqnZcKgp5i45rErJ9NQ0LMMYeRdWtOW/RZK7QJnceRFGh7q45FAFtuw2Lii7UlRaiaKr/pX1ec2XL8GBYAeqyochX2wsPxFboh0oNlDnTBTIAZHK6Sww/n001m0V7cGCshOti7ekXLyztSk1kYEC4/+7u3kTZkQ+Rj2U/ylqMoJNqem0jR4pAt+IaVhWeAfs7kLTEXXGHK33ny/q/ZdM+AEWHnxQ3LfP9oMe/Tpl1TfEZtIwSivXCcBjqR+GR3XNL5VbQRK+QFY+x+nVbwyoF4fbi6hsQ0yy59zXPHls1Qj5D5nDui1Mo/dGW1CJJmxoS917unnfVtHfvBmF8BUpruP5wuy+d8phw5kJHQ27sHD3n7FXlP6wwGYGNyyw+zlaOwStPQLTmZopxwCgG2MFW95/EfH1zyFaNQu1p9yQ0vBpxITD8/Zl27VaZYRFLbGrbCRW+o5HsHQS9HixOtVUSQ9CWQX2oXTp/C9eeX3K5M4myaL3rujrHVWyASQLBLYRIQ4oE+h8Mfnzdxh+DfWnJtFJuE0I7KIyRTTTexwItMPr6/4ecuk4rG4/CqieZfj9I64yoAMYAmXCHsthwTMgeeBBBE5vCUZNW2D6fRgLWhsFlDR98g0w6lyfM2pZUyILyyDUYiwffhhl1aPx4YmPi/Z0FfE4InCJRSF3kfUCu7xqFBoXb88oEinNe/1/7xL+HGPnXtKpj3lyVgiNrZFIqFN3i1gsjo9cR8IuhzHUwv0bcJQq3TY6GlI+TouESysuptEdU9A30RaxjfR/p8VAwoNAxhZlDDMYYIHdzxl/+V+xM9CBcT3UTzbf7F6/EpFgK4ZNOlqINaZvEdq/FotansPKKE3eugvsnupRq9USjzv8ZIBuOtFqEakOm0yAMqV8JtKl81Bb2BVv0rFOqakksEd86TFs72jBOIc1aamRcBDhQAc8vpKsDup9jWDHoUhTKnGcDRpLtNZLbY37Ur5H7Wk3A6CbcWIFlYBiQi6IO8wfMwF44ZMDCUd+pueJqQLbFmpO+Ab0NDZPKQ6iDFGTx1JUFdghWFvD73R51IVrBddNH4hk5yHxTPaJ+Yu+Upr3ws0/F79vP/LcbgLbnVTuQm0kkwV2WeUIlF33tKXbLD7HVUoHDaAu0HSlcsQEVF76O/QEm1c9B8/H/0Rb2QzUXnCb7tdp1z+ngXIhzUzPK4dEdgPDDGb61yyLSZlSaGbC2VcZ/fpVKEcrPip8zpJI6IZ3HhUtpYbNPBklFfntNzkYkLJEVXZ8thT+ja/BPnS6budRIxQUD8HykjNFLfGUXNtEhfwZBTaJeMVdNv/ZITa7He/P/6cwYRtWWJY4t31F6bq3Gqf4bzNQKAWw5qzXUDVqSsq6wD1Pf0+YK0265Ld5abOmRaOpxtXhdHebDKdDgoR3i0+HPRbAWJP1pM1SCbw4iGArpW1a23LJXj4O2AOEZCdW1v4QBcOMVjweInb122j2+GDb/CHWv/lP+IbVdhI0TM+1I3SGmhK+AVIPf/FTTrwGOPGajJ4JmSgZNhFLJnxfjCk9ESXN13iRjWSzxGQxrUFjfES2wynFhMBGyZC8b1PUrY7hwaRVt14i0rIPc0MrsbrJmFlZ4vpnwPAyuQtCazxmuBsDwwwkWGAzfQpyn05uv5Qroz/5DWrkfVhVMYoFtoUC26EaoHSlY9u7WLTvHqxoPRHIg8AuLBmCiVfclfg7FPTD7nDqTt8ks59PnIchanOjPEPEhdIOKY1cvCaPjtrJjJ99KqJR66NAGpQqWoj0kdFAWyOObXlepMO22Iyncetl332X4ojQCiyZ9CPUnvxl3eZ6E678W06f22YvwbDYQYSEwO5OtoyGjNtXNUH87JC8ijDKAS1zp+2TZ7Cw7p9YtvccgAV2r7TIcoWbE20A+5vVnIjOnnpTXt57/ev/AOo3oGj2ZXktCSK23vcFuCMt8J79R5RXU+VyZ4RoFmn89rTnbxAuOGnsM2isaJa4RxHYTjUDIpUZmN1mR2H50LyXHtjUchXNtEwPdP3b6Rgj+o8bqU13JxlQBv1tKCi0vmyAYfoLAyOveBCz/j8/wJb7r8GeTR9gIBBSHXOjIWsSjFwm6oiY9NhUge1M0+ZK67WZ6OGaZ3Y88R0Mu3ss1j3xI13PF46y1z+PmmufyOiITrV6mrusU12V72m23P8lbHrgerQ2Kv1Sc4VSRZNbqaWLBOU7HfZQL3Vz5k1m6XAok95om+LO3RXn32ej8M5x2LN5teH3Lh85SfmJVnS0WRO1klRzq4FgYNlfW2QVqK2oqCsCc4jSLU9hQf3DaPvwERy8+xRsfuD6vH09Ezvex2HhD8QCYCo00RzKkAi/0zkOG+0TIEmd8xDWvfIXeO6caPn2SwXKtcUdSS2wO174Nib+Zy42vXZosThfSKoxqCMe1v8amw3lN7yBohuXo7i8WvfrXKopHRHyK20mGWawwhHsfs6I+rcwLr4T77VeiIFA0FYAcseIBqwZnLUopNbug7HmYp1WYEfyLwpIwATbm1BcMRz2mCoWLf48LSpCuHvo2Fn75gOINu1C5ezzUTFsPI5q/a8w5tkYu9WS9xciQabWZqkj2FrbrHynw5oR2JSpEI0E4fWVmE47DDlLaRYOBJpSRmxK5Ha4pKgpEzWK1LTKPhRLHdi59F8YdtRFKB0ywnRZi3fDE1gQXK5smyr2mJ4jrjp4F8U0gd3z8eu9mz6E843vCcOsUdc8Zvj19Xu3oGXvBhSUj8SwcdZ20Qg4y4AIUNS6Qbitb24P9FpWWzig+DP4pYK0EaOqL7+S+oFgM4qkACQ5CitxlQzHdmkk/J7U4tQXURYL7IX6xatZtOCCSzZnlmcEEuZ+eFAMPwtsZtDDAruf41aFjkN1b+zvBO2FQmDHgxYJbGo1Qa19kmpvmdzbZKW7WEtqbbacxwh20f3zMQYtWH3y03BoLvouY8c/CSoZclqxRrXPu6/ZKGqFi3uo923lmr9jUmwzlldOQkFxpRDXhFVpdmEyborRRDV1BDuqCu98p8MmBLa67/SwfeVTmP/pd/GZcwaqr3/J1OdGahZg2b4CuIbP6PYYObeTuCa8Juveg4vXYd/fTsLCbb/B8rIalA65wNT7xJq2Y7YqrgVq1gjTc0jDDsOK4EGEqmfjwLhjIEk9n+wXjYYwK7oW+6PmaoYPrH4ai7bfgZUFxwHjlFZjVhEhEy8/MCS8O3HdNtZ0Tz+hxMJg6vEi3KEsmPklH4zOgqSQIs6jTmt9bMbPOQOYc0ba+vmSmOIu7iqmdlb5JdHa0kCKeC5sWHAXbA4XqqvH9sjnMUxfZUAIbFmWsXLlStTV1WHatGkYP348BgteBAZUhDbiKATCgBxUegDnQiwahVtt7TNQvp/exqH2FPVQT+IU2NQUcTmPoqBD8qFCbkHE3wy3GsG2GXD63vP3czE1tBqrjvgdJh17QdqVeDLg0mvCZQVhm1dZXAp3iAi9uE92dHK9zYWIGoWLp4kca8I7nGeBrWU3SFH9E764X/k+QrQAZ5IpJ3wJAN26095SL35SemOBwf7cnY6ZuPLd2t3mOyAUjJoD7Ey6g1sw9jiTF14O0K0X0dybyc3ZTHxVivjzVq4T8ygp0CPl/eJnhyt/QjGiCexQmnHLr2QZBOyFhgW2QzWxi7t7rla4pXE/xkAZb4aMnp73z3MXKguGRXJ71taUGnu3fIThL1+J/c4aDL3+RUOfN2bWCSa2kmEGHv1eYPv9flxzzTVobGzEhAkTcOutt+Laa6/FTTflx9yjr6E5PToLCgeOwCbCuUewKSrV1d2SyY3qsbOECzWZs6SSnvaYcgmX85giHrApWQ4RfwuKNIFtSNDIok1XPEWqcF9wLiYBHFAFX6vks8ydN2p3K71Z00SCYuqEXExo84iW8qwtxugipIwHEWd+Wvf5mxWh0CSV5PR9u9WFJ20hygw0Qd2yfCzGx7cpd3AEe1CiuTfTNd6MI4mknjMxp/VzA9nbOcsjVDgSee1JHqfxKXWKeNXk+Vhm+53owVyZ5j3Ip2ZU22psO/x/Oi2qekKqH0MPpGrv3foJAs9/AVXxFjFn2ykNF6ad+cZXqnwrdsREBwc9pmrBlv2oRBM6ogNjXskwvUG/F9h33XWXENnPPPMMPB4PPvjgA1xxxRU44YQTUFtrvlVKfyAej6FAUp2Oc5jQ9SWkiafj7f01KBg3P+f3Cqt9QJP7JzO5QRHdVC2eNDxqbZnkyVfCIKUj+tQygpaEoLEbyFAIO4pElkQ8kNqAhti/fQ38b/8a4YLhmHKR0mM134SdJUqNcEc9Ak1K6mWTrQJWxVZaK4/CysZCuMu7O/ESshohiqhCP2+ogtGWptVb5lRO88cVTS79rY2IRUMoqxrV6bFQc5342WwrM/19r3vx91ioRqacOY7HdUXTMb5FEdg2jmD3OFRCQv2Vt737H8RbdqFw4iKMmragR7ehoLg80fLoYEer4XacroDilh8vsF48Ooq6RKyLa5AvtPFITrMwWFpVI26ZcIcbMRwHsNnf2SitMKKkajuKh8Lq46ft7kUoiTeh6aKXxPbFImHsGHoKhu9T0vV3DDm+R9qnFZVWY/eXNoggg94Jf6RVWXhod5TCaGhi03tPIXpgPYprT8GIibMNby/DDBT6vcB+7rnn8MUvflGIa2L27NmYNWsWnn/++QEvsEOBQyu6HhPGPH2RCcecA4BuueMpKMGymb9GPBrEFO7H2CN4z7kTK/duxLDh1vYZTiWQ5WArPGpKriOpPUg2Iq5iUT8oBdMLbH/jLhzd/hq2dXQWYvkk5BsBClU52nYj6lb+nzZnpWUCu/acH2R8fMwxF2D9lPlw5rne1FE1BSsbj0OkUr/xkj2slIzEad+ZZOvKpzFv9dex3j4ZuOH1To9F2hWB3eEoN/19S62H8rpd3twEdqRwBKCsKaB84tyc3osxzsYl/8b8Nd+HFpddQtePHhbY5AOhGec17ttiuB2WL6wIbKl4uOXb5q3sXF/rHjIG+SLgHoJwyI54Dq07Y5pI71IeUxZXBLendBishLJgiuPNGIJmbD+wXQjsmslHwjPjCKzf/CVAcmBydf6+s67bYjSDL9Zx8JCZnUFcax7BscFlWOIqZIHNDGr6tcBuaWnB3r17MXFiZyuJcePGYd26dRjohALqpFOW4FLrtZhD0EVl0oLP81diMWtf+B2cjetRMPfGbpM+igx2jQ7mrYwg1ILtxXNQFzoAb4n+GsC4S4mC2tWoaMZ6ZEpP7CGkstFAHVAQ2INWv5LWF/Tk3wQn+Xxxe8fl/XMmzj0foJsBHBEl3VX2mBfYDq8inb3x7gm3jqJqfOg+Gu3l02HO+xuw1RyDeP1/sE+qQkmF2XdRt6eqFtgD7JBGoHKE0mOb6TlsXRfsPL3Tz7fOXo3i+Fb4D24DDArskqiSTeEqtV5gV42egRVz78WYd7+NcrkZ1ePnIF8MPe83aPAWYWqa1Obtn7yJUMMulIw9AkPHpK5pjmp16GrafKLXs6cWjZGDKBpifQR+r2sMKsNN8O/5FJiuLM54fUWoHjUF0WgcfRkpoET2wy7jho8xrTwsbE2rVYbpr/R7gU0UF3e+GNLf69evN/2+Dkfvtwffu3k1ip8/E+mmk+9WXYapl/4Su7+0Rjgdl7v69a7s1IKpbsuHGPX2V8SFOxXrz3oRw8fPEr9/9tgPcezef6Z9v09Pfgyjp81Df8Fut3X62RcZsvsVTIuuQfzll8h7phPLJ34H08/4al4/X4tiSnYHaq/+u/E3UCfL85qfwvJl81G7SFmEWfvGv3DMJ0qU9xjxAUp6Yr7HA21fe9QoUFv1UZhx/o+wu+0bGCFq5qz7/AO7NqL4yYtQJSuT765sOPsVDBuXf+MdYu3r9+GYT/8n7ePvTf8/TD3pavF7gZrKafeWmv4+vGrK7Wh5D2J3HppQLx99E6af9wNg3nnIhamLLsWumSeIVF6ny5PTuT5q1vFYtuN82EbPx2SbEoVieo5RM49DeJUj4SzvKDB/3OUyxre4h6OOSlliQfH5a179O+au/Una56847JeoPe4K8XuHrRiI7UNxVY3lY5ijqAiTjjoNOOo0HGhrRklR/hYgSsoO1SnH/1CLUrmzP0ul2m1haftNGDkhdVZM1DdUZAct2nMXYnfejRVlZ6H2i3dh3JefyNt2txVPBupXY+HmnyO26RfY7JgI/+X3oaB0VI/PMT994n8xffdDKEcrYnL3Joyr5vwRk+cptelr/vsPLKz7l/g97q0wvK1azf/4XY/D4Ug/vg8G+sN8jskf/VqVRaPKxc/WZfIhSZJwFjeDzSahrKz3DbGaC5ywqxeOVNgdEsorisRtINFatwG1b12r1JanacZbWOhJ7CMa/DN9Tz7foef2J4qL+27N+PoRC4AdaxJtpJJxOe15/74LJy9C9OBjmHrmzaY+q3LGcQjtuEs4zHu9zsR7uN2ObsdSe/VRPXb8TJy9CPXvlOLwi76LwmKf5Z/74SsPYObyr8AhxdOfW0XuHvt/U33fnR8/dCxtn3MD/Mu+gZpZC01vn2fGbNS9XIFqNHT6XKfDZtn/XFY21pJznban5ivpFw6Z/ELf/8qyU3BU84vokD0Yc/giy88LPWP8Ed96Fja7HVoVtctlz3LOuBLbuXX2l7Hz/d9iwtSZcOax1WBPXl+bIKf8/6nbQsXU9GND7fnfw4G/voAqNIrX2+35n+eVzz4X4Zf/Iww16TMnxzai4f7PwfaVD1BSls6OLT84bXEhrolU35/He+i4cbuU1pVh2Y6y6ccb/p7cExYgtvIZ7Bx1Nub2w7nXYJvPMflDks0q0T7AwYMHMX/+fDz44IOYM+dQitKPf/xjbNu2DQ888IDh94zF4mhtNeBumyfisQjkaCs62oOIxbrvIre3EAV5XDXuTYL+dgTa09fHFpVXweFwid/9bc0igp+OwtLKvE4urIZWOmkwpmOQjsW+SmvTAWHa0hVvYSk8PeBo397aCG9BMewOc2uEgY4WBDvaUFBcBrfaIz0YaEeg7dBxZ3M4UFJurflNtn0e8HfA4XSl7c9txfcWCfp1nVv5puv33RVvUSk8ai1zKNgBOS7nfGxFwkG0N3eO3nt8RfCabM01GM71wQqlELc27ofbV5w4Dnt7v2c7Z7qOZzSW9NT53BM0H9yTMniiZz6UfO47PQUoVDNa8kny/IRE/dCRIxEKS71yvqe7ZhOproO5zDHpOmO323tlXO1L8Bg/8KCxW29GQr+OYFdWVop08J07d3YS2Lt27RItu8zSF+pjqJVC2ZBRsDd1pN2evrCd+cDhKkBReeaacu1/d3mLxU3Pc/sTdAHuy9tdUJS+vUhPbLenoFSkp5v9LKe7SNyQ9B4OZ/fjrif3Ae1zm92NeJw6BMTz9r3RLRM99T+n+r7TbYtdrevLddskmwtF5d1rUnvzXOvr5/pgxleqLLDlY/+Y2e9Gzhl6bvLfA4HCsvRmZNn+z67nfk98L8nzE8q2oy4c/kD6OV1vXbPTXQfNbqd2jRlIx14u8Bg/OOn3hQHHHXccXn755cTf+/fvx4cffojjjz++V7eLYRiGYRiGYRiGGVz06wg28ZWvfAUXXnghFi9ejMMOOwyPP/44FixYgIULF/b2pjEMwzAMwzAMwzCDiH4fwa6pqcEzzzyDqVOn4sCBA0Jo/+EPf+jtzWIYhmEYhmEYhmEGGf0+gk0MHToUN998c29vBsMwDMMwDMMwDDOI6fcRbIZhGIZhGIZhGIbpC7DAZhiGYRiGYRiGYRgLYIHNMAzDMAzDMAzDMBYgybJM7WQZFfo64vG+8ZVQM3Pqn8cMLni/Dz54nw9OeL8PTni/D054vw8+eJ8PLGw2CZIk6XouC2yGYRiGYRiGYRiGsQBOEWcYhmEYhmEYhmEYC2CBzTAMwzAMwzAMwzAWwAKbYRiGYRiGYRiGYSyABTbDMAzDMAzDMAzDWAALbIZhGIZhGIZhGIaxABbYDMMwDMMwDMMwDGMBLLAZhmEYhmEYhmEYxgJYYDMMwzAMwzAMwzCMBbDAZhiGYRiGYRiGYRgLYIHNMAzDMAzDMAzDMBbAApthGIZhGIZhGIZhLIAFNsMwDMMwDMMwDMNYgMOKN2GspaGhAStWrBC/z58/H8XFxfwVDwDWrl2LzZs3o6SkBLNnz0ZhYWHisdWrV2P9+vWdnk/PO/300xN/b9u2DZ988glKS0tx7LHHwul09uj2M8Z55ZVX0NjY2Om+iRMn4sgjj0z8/eGHH2LHjh0YO3YsDjvssG7vke1xpu/Q1NSEl19+OeVjlZWVOOmkkxCLxfDYY491e3zevHkYNWqU+D0SiWD58uXi/Q4//HCMHj0679vOmIfGZRqPa2trO91P+4+u5bTPacwuKyuz9HGmd3n99dcxc+ZMcW4nQ9fyTZs2oaioSJy/dC3X+PTTT/HZZ591er7P58PZZ5+d+Hvnzp346KOPxOtpXHC5XD3w3zB6oHPxySefxEUXXdTp/jfffBP79+/vdN+YMWMwd+7cTuPEli1bUFNTI+aAkiR1en62x5n+hSTLstzbG8Ec4r333sNNN90kJuDt7e1CkP3jH//AjBkz+GvqxwPy1772NXzwwQdisN2zZw92796NP//5z5g1a5Z4zle+8hVx3/Tp0xOvq66uFscCce+99+Ivf/mLuNhu2LBBXHDvv/9+IbaZvssxxxwjRHFVVVWn+2jhRDsuaMJFkzA692lB7Ve/+pW4sGZ7nOl70ASLztNkwuEwnn76aZx77rm4/fbbxQSK9j9N0Gy2Q0lk9DeN87TAeuWVV8LtdmPEiBF455138O1vfxuXX355L/xHTDZ27dqFSy65BFdddRWuv/76Toum9DcJsGg0KhZY//rXvyYW13J9nOld3n77bdxwww144IEHEvuEptPf+c53sGTJEjFW19XViTncH//4Rxx11FHiOd/73vewZs0aMaZr0MLJ17/+dfH7Qw89hN/85jfi9bSoTott9BldRTzTO9xxxx246667xDwsmZNPPlkskNKYrUHzuwsuuEAcFz/4wQ+wdOlSzJkzB6tWrRLnNR0XDocj6+NMP4UENtM3CIfD8qJFi+S77747cd+tt94qn3XWWb26XUxuPPLII/IxxxwjNzQ0JO774Q9/KJ922mmJv0899VTxvFRs3bpVnjJlirxq1SrxdzAYlC+88EL5Jz/5Ce+aPsyBAwfkSZMmif2XikcffVSeN2+e3NjYKP7euXOnfMQRR8gvvviirseZ/sFPf/pT+aSTTpJbW1vF3y+99JIYD9Lxne98R77qqqvkaDQq/n7ttdfkadOmyXv27OmxbWb0QWPy/PnzxXmefN2OxWLyKaecIt9xxx2J+375y1/KJ598shyPx3N+nOldaGyePn262O/adZl49tln5dmzZ8v79+9P3Pfzn/9czOu0/XbeeefJ9957b8r33bt3rzjXlyxZIv4OhULyFVdcIcYEpneheReN5bTP6ZaM3+8Xc7SPP/445Wvpmp18XNTV1clz584Vx5Gex5n+Cddg9yHef/99EQGh1XANWhWnlTJaBWX6JxRtvvnmm1FeXp6473Of+xy2bt0qUgApwkUpYePHj0/5+hdeeAETJkxIrJJTZOvSSy/Fiy++KFY+mb4JpQhS2qiW9tuV559/Hqeeemoi7ZPSwiiFmPa3nseZvg+lgj744IP44Q9/KNI9teOCzudUUKSSygoomm2328V9J554IoYOHSruZ/oOjz/+OL7whS/gnHPOwciRI7vt9+3bt+Pzn/98p2s5lXpoKcK5PM70HhRp/OUvf4lvfOMb3R6jjBTKOqPss+Rr/b59+8QtHo+L6366az2Vl1C204IFCxJzh8suuwyvvvqqmCcwvQel8FPWQnKWigbNz2nfjhs3LuVr6Zp9/PHHJ44L2seUxUTXeD2PM/0TFth9CKrboTSg5HodmpzTJH3dunW9um2Mec4777xu6Z2U+kUXz4KCApEySunAlO790ksv4bXXXutUt0vHRdcLMv3d3NwsLtpM32Tjxo2ibpomys8884yoqU2eJKXbr9q5nu1xpu9D6fyU6rlo0aLEfSSw6big2npKHf/4448Tj9GxEggEeL/3A2jB67nnnsO3vvWtTqn+BJ2j5LGRLLRo0kyLLPRYro8zvQeJ3//+978488wzuz12xhln4Oqrr+52rafFMtqfVE5A5zcttpOYJuFMJSEatG+7Lr7RmO/3+8UiPNN7XHfddUIIT5s2rdtjNKbTIijty2effVaketN+zrZfNd+dbI8z/RNO7u9DkGBKFtcEXbjJAKOlpaXXtouxFqqtv+eee4Twpmg0CTGCotxUs0OCmy6mVIe1cOFCse9pQp6MFg2jx4YPH867qA9CF10STFRzR/uPavBpf999990i4tXa2trtfKdJGO1TykzI9DjT96EoJBlUkVdCMnS+U6YS3Whs/9nPfoYjjjgCf/rTn8Q1gOD93vc5+uij0z5G52jXfaiN29r5m+vjTO9AEWni4MGDWZ8bDAZFvS69hsxqV65cKe6n6DfVYFNGAl0fKCJONby0b7ua2mrXem1sYHqHCy+8MOO1nsQ1eaaQiSktmlLQhPY9Ced0+1W71md7nD1X+icssPsQlGKS6kSi+zgVeGBAhiU0CNPg+d3vfjcxkfrSl74kUss0Z/H/+7//E8ZG5FJKA3XXCIl2nPBx0XehCy0Z11BEg/YXTbbIvOrWW2/F3//+95QXTtrPdD+NBZkeZ/o+ZFY0efLkbkKM3KDpRun+BJkekgHa3/72t4QREu/3/g2N2Zmu5dmu9TwXGBjHAF3Dacz+8Y9/LO6jjLUvfvGL4lqvLaD87ne/EyKbXKNTXeu7/s30PajLA+3TL3/5y2J/UaYapZLTfqVSknT7VTvfsz3OArt/wgK7D0Gii1KBukL3aauYTP8X17TyTa7gFL0ijjvuOHFLhoQYOYeScyytbHY9Ljo6OsRPPi76LlQzmYzH48HFF1+M2267TUygabKVar/SPqWUwkyPM30bmjDR4ljXdFFCm2xrkOss1VlTCYEmunm/929Sjdna+astoub6ONO3z39yE6fa3Pvuuy8hprXFta7XespqohZNqY4byngjeL/3XcgTJxkq/6P7vvrVr4pMtHRzOLrGk5DO9jjTP+E914cggwRq65Bcp0l/h0KhtKYYTP+AopeLFy8WtdUknCsqKhKPvfXWW3j33Xc7PV+LUpLQovTirvVXVMvl9Xo5PbwPQ72OKd0/GW01mi6adL7Tfkwm2ewu2+NM34WMqCilUxPMGpRG+PDDD3dL86Xjgs518tygn6nOd97v/Qc6d2ms18QRQRNtOiYoZTTXx5m+C83faCGdyoP+/e9/d6qjp5Z71MIr3bWe9nuqc59aNVFPZaZv8tRTT3XzRsi2X+lv7VzO9jjTP2GB3Yeg/rhkaEbGFxpkojJs2DDU1tb26rYxuYlrSheiqOU///nPbrU25B5PzqTJphi034cMGSL2O0W3qJ4zeQAmd0kyTtKchpm+B6WG/eEPf+h0waX9Sr3Mab+dcMIJwixHW1CjFes333xT3E9ke5zp2wKbMg26imLKYvj5z38uJmQaJJpo0k3mSRSxmDt3rugQoEFGNxQJ4/3ef6B0X4paJu9HGrPJ3Oqwww7L+XGmb0JjNXmp0OIIeS8kdw4hKEpNacPJCyd0TaA5AfmvkJM01fNqviza4xT1prGD6ZvQuUmGlsnQfqPzmDIVaeyma7cWpaagGc3zk6/1mR5n+iecIt6HoBSgb37zm/if//kfMakiYfbII4/g97//PTeb78fQhHrVqlWiHjd5Yk2cddZZwp2ShBSlipEZCl1cya2S9jtNuKk9FxmgUEsYSjFes2aNMMyiCCnTd6HzmNLEKZoxY8YMkalAjrIU1SCoFo8cR2m/0oWUHOTJiVQzU8n2ONN3oegVRZy61s7RZIsm2DQZo9prWkR74oknRA0f7W+CXKmpNQ+VlJBAp4g3tWuaMmVKL/03jFEoRZT2M5UD0DlPUObS7bffLowOiVwfZ/oed9xxh1gsu+WWW8TYncxpp50mxnIax6+44gpx7aeWXdRh4he/+IUQ2eRQff755wtPFjrnaWGNHKlpDGD6LuSnQ2P2DTfcIHw0li1bJoIimsElzdtonKf9Tq03SUzTGEF/63mc6Z9I1Ay7tzeC6Qw5TWonGAkunlj1b37729+mdX4l8UWr3LSYQhdkSimmCy31QEx2DqfoN4luWgGnVm7kQE4/mb4NlXjQ6jY5RlNbH+qZm+wO3NbWJi6sJLZITGnO8nofZ/pu9gJFIbq259OgRTIa4yntlybV1N6H0kCT00Jp4k1ZCxQF6ZpqzvQtKFOFnOC1/sUa1IqN2i5SZhplIs2cOdPSx5neg6LQtFB27bXXitIOgjoBpHMXpxIxWiClKDdFNylSTUEVEt7JqcA0JacWXrTvaW5ABoiUxcj0DcgXhwJf//u//9vpfspaoDkcXaupswv1zU4uBaTo9JNPPimc42nxla7lFEDR+zjT/2CBzTAMwzAMwzAMwzAWwDXYDMMwDMMwDMMwDGMBLLAZhmEYhmEYhmEYxgJYYDMMwzAMwzAMwzCMBbDAZhiGYRiGYRiGYRgLYIHNMAzDMAzDMAzDMBbAApthGIZhGIZhGIZhLIAFNsMwDMMwDMMwDMNYgMOKN2EYhmEYJn+8/fbb+OSTT7I+74gjjsCHH36Im266CTZbz6+h02cvW7ZM/F5WVoYrrrgi62t27NiBZ599NvF3b207wzAMw1gBX8EYhmEYph8K7jvvvBPRaBR9idWrV5verlWrVonXxuPxvGwbwzAMw/QEHMFmGIZhmD7OokWLxE2jqakJn376KRYvXgy3293pufPmzUNvk2q70jF69Gjccsst+Mtf/oIVK1bkfdsYhmEYJp+wwGYYhmGYAQJFgd97771EmjX9vWHDBlxwwQV4/fXXsWfPHgwbNgynnHIKPB4Pli9fjs8++wxDhgzBqaeeCp/P1+n91q9fL0RvOBzGjBkzcMwxx5jaroaGBhF1P3DggEgdnzt3LkaNGmXRf80wDMMwfQdOEWcYhmGYAULXNGv6myLD5557Lt58803U19fj1ltvxWWXXYavfOUruOuuu3Dw4EH84Q9/ECI8FAol3uunP/0pzj//fFH7Tc/55je/iWuvvRbBYNDQNq1cuRInnniiEPh+v18I9tNOOw2PPPKI5f8/wzAMw/Q2HMFmGIZhmAEMRY9JGH/pS18Sf9fU1OBnP/sZRo4cifvvv1/cd9ZZZ+Giiy7CkiVLcPLJJ+Pxxx/Hgw8+iN/+9rc488wzxXOuuuoq8TuJ8e9+97u6P/+OO+7AUUcdhT//+c+J+0466SQ0Nzdb/r8yDMMwTG/DEWyGYRiGGeCcccYZid8nTJggflIUuet9lEJO/Oc//8G4ceMS4poYPny4SCN/4oknIMuy7s+mVPS1a9fi/fffT9x3+umniyg6wzAMwww0OILNMAzDMAMcqrHWsNvt4mdFRUW3+2KxmPi5efNmVFZW4k9/+lOn99m7dy9aWlpEynhVVZWuz6ZoN6WjX3755aL+e+HChSJlfMGCBdyOi2EYhhlwsMBmGIZhmAGOJqD1QjXcXq+32/1HHnmkuOl1CCemTJmCV155RfTIJlM1qgV/9NFHhdv5PffcA0mSDG0bwzAMw/RlWGAzDMMwDNOtdVZBQYFon5UM1WiT63hRUZGhb4xE9OzZs8VNa8lFtdzkcE4CnGEYhmEGClyDzTAMwzBMJ8g9nGqmKeKsQaZkP/zhD0XrLmoBpjcSTk7l7777bqf7nU6niKqXl5fzN88wDMMMKDiCzTAMwzBMJ6644gphTHb99dcLYzOqx3711VeFIL7tttt0f1skxElka+8zYsQIYaRG7/X1r39ddx03wzAMw/QXWGAzDMMwTD9j0aJFKCsr61ZbPWfOHNx8882JCLP2dzIkcuk++qlB70P3HX744eJvev3tt9+OL37xi6KPdTQaFf2zzRiTLV68WDiWU0/upqYm8Rn0WWPGjMnhG2AYhmGYvokkG+m1wTAMwzAMkwYyLfvVr36FTz75xJARGqHVZa9ZswYOB6//MwzDMP0TvoIxDMMwDGMpJJYprZxSzbOxY8cOPPvssyLCzTAMwzD9HRbYDMMwDMNYgpb+bQZKZ6eb0RR0hmEYhulLcIo4wzAMwzAMwzAMw1gALxMzDMMwDMMwDMMwjAWwwGYYhmEYhmEYhmEYC2CBzTAMwzAMwzAMwzAWwAKbYRiGYRiGYRiGYSyABTbDMAzDMAzDMAzDWAALbIZhGIZhGIZhGIaxABbYDMMwDMMwDMMwDGMBLLAZhmEYhmEYhmEYxgJYYDMMwzAMwzAMwzAMcuf/ASnVR3qS/3o6AAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plot_fc_pwr(df, df_ss)" + ] + }, + { + "cell_type": "markdown", + "id": "cell-16", + "metadata": {}, + "source": [ + "The same comparison for the micro hybrid, with battery state of charge\n", + "in the fourth panel." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "cell-17", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig2, ax2 = plot_fc_pwr(df, df_uhev, is_hev=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "cell-18", + "metadata": {}, + "outputs": [], + "source": [ + "def plot_engine_on_flags(df: pd.DataFrame, df_ss: pd.DataFrame, is_hev: bool = False):\n", + " \"\"\"Plot engine flags.\"\"\"\n", + " if not is_hev:\n", + " return\n", + " fig, ax = plt.subplots(2, 1, sharex=True, figsize=(10, 9))\n", + " plt.suptitle(\"Fuel Converter On Logic\")\n", + " ax[0].set_prop_cycle(get_paired_cycler())\n", + " ax[0].plot(\n", + " df_ss[\"cyc.time_seconds\"],\n", + " df_ss[\"veh.pt_type.HEV.pt_cntrl.StopStart.history.vehicle_not_stopped\"],\n", + " label=\"not stopped\",\n", + " )\n", + " ax[0].legend()\n", + "\n", + " ax[1].set_prop_cycle(get_paired_cycler())\n", + " ax[1].plot(\n", + " df[\"cyc.time_seconds\"],\n", + " df[\"veh.history.speed_ach_meters_per_second\"],\n", + " label=\"f3\",\n", + " )\n", + " ax[1].plot(\n", + " df_ss[\"cyc.time_seconds\"],\n", + " df_ss[\"veh.history.speed_ach_meters_per_second\"],\n", + " label=\"f3 (ss)\",\n", + " )\n", + " ax[1].legend()\n", + " ax[1].set_xlabel(\"Time [s]\")\n", + " ax[1].set_ylabel(\"Ach Speed [m/s]\")\n", + " x_min, x_max = ax[1].get_xlim()[0], ax[1].get_xlim()[1]\n", + " x_max = (x_max - x_min) * 1.15\n", + " ax[1].set_xlim([x_min, x_max])\n", + "\n", + " plt.tight_layout()\n", + " if SAVE_FIGS:\n", + " plt.savefig(Path(\"./plots/fc_onoff.svg\"))\n", + " if SHOW_PLOTS:\n", + " plt.show()\n", + "\n", + " return fig, ax" + ] + }, + { + "cell_type": "markdown", + "id": "cell-19", + "metadata": {}, + "source": [ + "The micro hybrid stop/start controller's `vehicle_not_stopped` flag, one\n", + "of the conditions that forces the engine on, plotted with achieved speed." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "cell-20", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig3, ax3 = plot_engine_on_flags(df, df_uhev, is_hev=True)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.14.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/content/trace_miss.ipynb b/docs/content/trace_miss.ipynb new file mode 100644 index 000000000..2808c01ba --- /dev/null +++ b/docs/content/trace_miss.ipynb @@ -0,0 +1,266 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "cell-0", + "metadata": {}, + "source": [ + "# Trace Miss Correction\n", + "\n", + "This demo shows how `SimParams` can be configured to handle trace miss\n", + "events, where the vehicle cannot achieve the target speed." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "cell-1", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "import seaborn as sns\n", + "\n", + "import fastsim as fsim" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "cell-2", + "metadata": {}, + "outputs": [], + "source": [ + "sns.set_theme()\n", + "\n", + "SHOW_PLOTS = os.environ.get(\"SHOW_PLOTS\", \"true\").lower() == \"true\"\n", + "SAVE_FIGS = os.environ.get(\"SAVE_FIGS\", \"false\").lower() == \"true\"" + ] + }, + { + "cell_type": "markdown", + "id": "cell-3", + "metadata": {}, + "source": [ + "## Build a Custom Cycle\n", + "\n", + "This cycle has a sharp acceleration from 0 to 8 m/s in one second,\n", + "which the vehicle cannot fully achieve (a trace miss)." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "cell-4", + "metadata": {}, + "outputs": [], + "source": [ + "cyc_d = {\n", + " \"time_seconds\": [0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0],\n", + " \"speed_meters_per_second\": [0.0, 0.0, 8.0, 8.0, 8.0, 8.0, 8.0, 0.0, 0.0],\n", + "}\n", + "cyc = fsim.Cycle.from_pydict(cyc_d)\n", + "cyc0 = cyc.copy()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "cell-5", + "metadata": {}, + "outputs": [], + "source": [ + "veh = fsim.Vehicle.from_resource(\"2012_Ford_Fusion.yaml\")\n", + "veh.set_save_interval(1)" + ] + }, + { + "cell_type": "markdown", + "id": "cell-6", + "metadata": {}, + "source": [ + "## Configure Trace Miss Options\n", + "\n", + "`TraceMissOptions` controls what happens when the vehicle cannot match\n", + "the target speed:\n", + "- `\"Allow\"`: allow trace miss without any correction\n", + "- `\"AllowChecked\"`: allow trace miss within error tolerance\n", + "- `\"Error\"` (default): throw error when trace miss happens\n", + "- `\"Correct\"`: correct trace miss with driver model that catches up\n", + "\n", + "`trace_miss_correct_max_steps` is the maximum number of steps in which to\n", + "re-rendezvous with the reference trace. The trajectory with the smallest\n", + "peak acceleration is chosen. Must be 2 or greater; defaults to 6." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "cell-7", + "metadata": {}, + "outputs": [], + "source": [ + "params = fsim.SimParams.default().to_pydict()\n", + "params[\"trace_miss_opts\"] = \"Correct\"\n", + "params[\"trace_miss_correct_max_steps\"] = 6\n", + "\n", + "sd = fsim.SimDrive(veh, cyc, fsim.SimParams.from_pydict(params))\n", + "sd.walk()" + ] + }, + { + "cell_type": "markdown", + "id": "cell-8", + "metadata": {}, + "source": [ + "## Results\n", + "\n", + "Original cycle speed vs. achieved speed with trace miss correction." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "cell-9", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "if SHOW_PLOTS:\n", + " c0 = cyc0.to_pydict()\n", + " df = sd.to_dataframe()\n", + "\n", + " fig, ax = plt.subplots(figsize=(10, 4))\n", + " ax.plot(\n", + " np.array(c0[\"time_seconds\"]),\n", + " np.array(c0[\"speed_meters_per_second\"]),\n", + " label=\"Original\",\n", + " )\n", + " ax.plot(\n", + " np.array(df[\"cyc.time_seconds\"]),\n", + " np.array(df[\"veh.history.speed_ach_meters_per_second\"]),\n", + " linestyle=\"--\",\n", + " label=\"Achieved\",\n", + " )\n", + " ax.set_xlabel(\"Time [s]\")\n", + " ax.set_ylabel(\"Speed [m/s]\")\n", + " ax.set_title(\"Trace Miss Correction: Speed vs. Time\")\n", + " ax.legend()\n", + " plt.tight_layout()\n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "cell-10", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "if SHOW_PLOTS:\n", + " fig, ax = plt.subplots(figsize=(10, 4))\n", + " ax.plot(\n", + " np.array(c0[\"dist_meters\"]),\n", + " np.array(c0[\"speed_meters_per_second\"]),\n", + " label=\"Original\",\n", + " )\n", + " ax.plot(\n", + " np.array(df[\"cyc.dist_meters\"]),\n", + " np.array(df[\"veh.history.speed_ach_meters_per_second\"]),\n", + " linestyle=\"--\",\n", + " label=\"Achieved\",\n", + " )\n", + " ax.set_xlabel(\"Distance [m]\")\n", + " ax.set_ylabel(\"Speed [m/s]\")\n", + " ax.set_title(\"Trace Miss Correction: Speed vs. Distance\")\n", + " ax.legend()\n", + " plt.tight_layout()\n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "cell-11", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "if SHOW_PLOTS:\n", + " fig, ax = plt.subplots(figsize=(10, 4))\n", + " ax.plot(\n", + " np.array(c0[\"time_seconds\"]),\n", + " np.array(c0[\"dist_meters\"]),\n", + " label=\"Original\",\n", + " )\n", + " ax.plot(\n", + " np.array(df[\"cyc.time_seconds\"]),\n", + " np.array(df[\"cyc.dist_meters\"]),\n", + " linestyle=\"--\",\n", + " label=\"Achieved\",\n", + " )\n", + " ax.set_xlabel(\"Time [s]\")\n", + " ax.set_ylabel(\"Distance [m]\")\n", + " ax.set_title(\"Trace Miss Correction: Distance vs. Time\")\n", + " ax.legend()\n", + " plt.tight_layout()\n", + " plt.show()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.14.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/demo_notebooks/demo_vehicle.ipynb b/docs/content/vehicle.ipynb similarity index 83% rename from docs/demo_notebooks/demo_vehicle.ipynb rename to docs/content/vehicle.ipynb index 85272b282..171bc6c98 100644 --- a/docs/demo_notebooks/demo_vehicle.ipynb +++ b/docs/content/vehicle.ipynb @@ -15,14 +15,6 @@ "- Powertrain Type `pt_type`\n", "- Powertrain Type" ] - }, - { - "cell_type": "markdown", - "id": "cell-1", - "metadata": {}, - "source": [ - "*Source: `fastsim/docs/demo_scripts/demo_vehicle.py`*" - ] } ], "metadata": { diff --git a/docs/demo_notebooks/demo_advanced_coasting.ipynb b/docs/demo_notebooks/demo_advanced_coasting.ipynb deleted file mode 100644 index 1ab40b22f..000000000 --- a/docs/demo_notebooks/demo_advanced_coasting.ipynb +++ /dev/null @@ -1,166 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "cell-0", - "metadata": {}, - "source": [ - "# CAVS: Advanced Coasting\n", - "\n", - "This Connected Automated Vehicle (CAV) demo configures coasting with\n", - "additional parameters: brake start speed, passing behavior, maximum coast\n", - "speed, and a look-ahead time horizon." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-1", - "metadata": {}, - "outputs": [], - "source": [ - "import os\n", - "\n", - "import seaborn as sns\n", - "\n", - "import sys\n", - "from pathlib import Path\n", - "\n", - "sys.path.insert(0, str(next(p / \"demo_scripts\" for p in (Path.cwd(), *Path.cwd().parents) if (p / \"demo_scripts\").is_dir())))\n", - "\n", - "import fastsim as fsim\n", - "from plot_utils import plot_speed_by_time, plot_speed_by_dist" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-2", - "metadata": {}, - "outputs": [], - "source": [ - "sns.set_theme()\n", - "\n", - "SHOW_PLOTS = os.environ.get(\"SHOW_PLOTS\", \"true\").lower() == \"true\"\n", - "SAVE_FIGS = os.environ.get(\"SAVE_FIGS\", \"false\").lower() == \"true\"" - ] - }, - { - "cell_type": "markdown", - "id": "cell-3", - "metadata": {}, - "source": [ - "## Setup" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-4", - "metadata": {}, - "outputs": [], - "source": [ - "veh = fsim.Vehicle.from_resource(\"2012_Ford_Fusion.yaml\")\n", - "veh.set_save_interval(1)\n", - "\n", - "cyc = fsim.Cycle.from_resource(\"udds.csv\")\n", - "end_idle_duration_s = cyc.ending_idle_time_s()\n", - "cyc0 = cyc.copy()\n", - "cyc = cyc.extend_time(absolute_time_s=120.0, time_fraction=0.25)" - ] - }, - { - "cell_type": "markdown", - "id": "cell-5", - "metadata": {}, - "source": [ - "## Configure Coasting Parameters\n", - "\n", - "These parameters control when and how the vehicle coasts:\n", - "- `coast_brake_start_speed`: speed at which mechanical braking initiates during coast\n", - "- `coast_allow_passing`: whether the coasting vehicle can pass the reference trace\n", - "- `coast_max_speed`: maximum allowable speed during coast\n", - "- `coast_time_horizon_for_adjustment`: look-ahead time for considering coast opportunities" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-6", - "metadata": {}, - "outputs": [], - "source": [ - "man = fsim.Maneuver.create_from(cyc, veh.copy())\n", - "d = man.to_pydict()\n", - "d[\"coast_allow\"] = True\n", - "d[\"coast_brake_start_speed_meters_per_second\"] = 8.9408 # 20 mph\n", - "d[\"coast_brake_accel_meters_per_second_squared\"] = -2.5\n", - "d[\"favor_grade_accuracy\"] = True\n", - "d[\"coast_allow_passing\"] = True\n", - "d[\"coast_max_speed_meters_per_second\"] = 33.5280 # 75 mph\n", - "d[\"coast_time_horizon_for_adjustment_seconds\"] = 120.0\n", - "man = fsim.Maneuver.from_pydict(d)\n", - "\n", - "cyc = man.apply_maneuvers()\n", - "cyc = cyc.trim_ending_idle(idle_to_keep_s=end_idle_duration_s)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-7", - "metadata": {}, - "outputs": [], - "source": [ - "sd = fsim.SimDrive(veh, cyc)\n", - "sd.walk()" - ] - }, - { - "cell_type": "markdown", - "id": "cell-8", - "metadata": {}, - "source": [ - "## Results\n", - "\n", - "Original cycle speed vs. achieved speed with advanced coasting applied." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-9", - "metadata": {}, - "outputs": [], - "source": [ - "if SHOW_PLOTS:\n", - " c0 = cyc0.to_pydict()\n", - " df = sd.to_dataframe()\n", - " plot_speed_by_time(df, c0, title=\"Advanced Coasting\",\n", - " save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)\n", - " plot_speed_by_dist(df, c0, title=\"Advanced Coasting (distance)\",\n", - " save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" - ] - }, - { - "cell_type": "markdown", - "id": "cell-10", - "metadata": {}, - "source": [ - "*Source: `fastsim/docs/demo_scripts/demo_advanced_coasting.py`*" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "name": "python" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/docs/demo_notebooks/demo_basic_coasting.ipynb b/docs/demo_notebooks/demo_basic_coasting.ipynb deleted file mode 100644 index 169db83d8..000000000 --- a/docs/demo_notebooks/demo_basic_coasting.ipynb +++ /dev/null @@ -1,164 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "cell-0", - "metadata": {}, - "source": [ - "# CAVS: Basic Coasting\n", - "\n", - "This Connected Automated Vehicle (CAV) demo shows coasting behavior using\n", - "a simple speed threshold. When the vehicle reaches the threshold speed, it\n", - "coasts to a stop." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-1", - "metadata": {}, - "outputs": [], - "source": [ - "import os\n", - "\n", - "import seaborn as sns\n", - "\n", - "import sys\n", - "from pathlib import Path\n", - "\n", - "sys.path.insert(0, str(next(p / \"demo_scripts\" for p in (Path.cwd(), *Path.cwd().parents) if (p / \"demo_scripts\").is_dir())))\n", - "\n", - "import fastsim as fsim\n", - "from plot_utils import plot_speed_by_time, plot_speed_by_dist" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-2", - "metadata": {}, - "outputs": [], - "source": [ - "sns.set_theme()\n", - "\n", - "SHOW_PLOTS = os.environ.get(\"SHOW_PLOTS\", \"true\").lower() == \"true\"\n", - "SAVE_FIGS = os.environ.get(\"SAVE_FIGS\", \"false\").lower() == \"true\"" - ] - }, - { - "cell_type": "markdown", - "id": "cell-3", - "metadata": {}, - "source": [ - "## Setup\n", - "\n", - "Load a vehicle and cycle. The cycle is extended to allow extra time for\n", - "coasting delays. A copy of the original cycle is kept for comparison." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-4", - "metadata": {}, - "outputs": [], - "source": [ - "coast_speed_mps = 20.0\n", - "\n", - "veh = fsim.Vehicle.from_resource(\"2012_Ford_Fusion.yaml\")\n", - "veh.set_save_interval(1)\n", - "\n", - "cyc = fsim.Cycle.from_resource(\"udds.csv\")\n", - "end_idle_duration_s = cyc.ending_idle_time_s()\n", - "cyc = cyc.extend_time(absolute_time_s=120.0, time_fraction=None)\n", - "cyc0 = cyc.copy()" - ] - }, - { - "cell_type": "markdown", - "id": "cell-5", - "metadata": {}, - "source": [ - "## Apply Coasting Maneuver\n", - "\n", - "`Maneuver` modifies the cycle based on coasting parameters. Setting\n", - "`coast_start_speed_meters_per_second` causes the vehicle to coast to a\n", - "stop whenever it reaches that speed." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-6", - "metadata": {}, - "outputs": [], - "source": [ - "man = fsim.Maneuver.create_from(cyc, veh.copy())\n", - "d = man.to_pydict()\n", - "d[\"coast_allow\"] = True\n", - "d[\"coast_start_speed_meters_per_second\"] = coast_speed_mps\n", - "man = fsim.Maneuver.from_pydict(d)\n", - "\n", - "cyc = man.apply_maneuvers()\n", - "cyc = cyc.trim_ending_idle(idle_to_keep_s=end_idle_duration_s)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-7", - "metadata": {}, - "outputs": [], - "source": [ - "sd = fsim.SimDrive(veh, cyc)\n", - "sd.walk()" - ] - }, - { - "cell_type": "markdown", - "id": "cell-8", - "metadata": {}, - "source": [ - "## Results\n", - "\n", - "Original cycle speed vs. achieved speed with coasting applied." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-9", - "metadata": {}, - "outputs": [], - "source": [ - "if SHOW_PLOTS:\n", - " c0 = cyc0.to_pydict()\n", - " df = sd.to_dataframe()\n", - " plot_speed_by_time(df, c0, title=f\"Coasting from {coast_speed_mps} m/s\",\n", - " save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)\n", - " plot_speed_by_dist(df, c0, title=f\"Coasting from {coast_speed_mps} m/s (distance)\",\n", - " save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" - ] - }, - { - "cell_type": "markdown", - "id": "cell-10", - "metadata": {}, - "source": [ - "*Source: `fastsim/docs/demo_scripts/demo_basic_coasting.py`*" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "name": "python" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/docs/demo_notebooks/demo_bev.ipynb b/docs/demo_notebooks/demo_bev.ipynb deleted file mode 100644 index 61836b967..000000000 --- a/docs/demo_notebooks/demo_bev.ipynb +++ /dev/null @@ -1,299 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "cell-0", - "metadata": {}, - "source": [ - "# Battery Electric Vehicle Demo\n", - "\n", - "This demo simulates a Battery Electric Vehicle (BEV) over a drive cycle and\n", - "visualizes the battery and road load behavior." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-1", - "metadata": {}, - "outputs": [], - "source": [ - "import os\n", - "from pathlib import Path\n", - "\n", - "import matplotlib.pyplot as plt\n", - "import seaborn as sns\n", - "\n", - "import fastsim as fsim" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-2", - "metadata": {}, - "outputs": [], - "source": [ - "sns.set_theme()\n", - "\n", - "# if environment var `SHOW_PLOTS=false` is set, no plots are shown\n", - "SHOW_PLOTS = os.environ.get(\"SHOW_PLOTS\", \"true\").lower() == \"true\"\n", - "# if environment var `SAVE_FIGS=true` is set, save plots\n", - "SAVE_FIGS = os.environ.get(\"SAVE_FIGS\", \"false\").lower() == \"true\"" - ] - }, - { - "cell_type": "markdown", - "id": "cell-3", - "metadata": {}, - "source": [ - "## Setup and Simulation\n", - "\n", - "Load a vehicle and drive cycle, configure per-step state recording, run the\n", - "simulation, and extract the results." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-4", - "metadata": {}, - "outputs": [], - "source": [ - "# load 2022 Renault Zoe from file\n", - "veh = fsim.Vehicle.from_resource(\"2022_Renault_Zoe_ZE50_R135.yaml\")\n", - "\n", - "# Set `save_interval` at vehicle level -- cascades to all sub-components with time-varying states\n", - "veh.set_save_interval(1)\n", - "\n", - "# load cycle from file\n", - "cyc = fsim.Cycle.from_resource(\"udds.csv\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-5", - "metadata": {}, - "outputs": [], - "source": [ - "# instantiate `SimDrive` simulation object\n", - "sd = fsim.SimDrive(veh, cyc)\n", - "sd.walk()\n", - "\n", - "df = sd.to_dataframe()\n", - "sd_dict = sd.to_pydict(flatten=True)" - ] - }, - { - "cell_type": "markdown", - "id": "cell-6", - "metadata": {}, - "source": [ - "## Visualize Results\n", - "\n", - "The following plots show battery and road load behavior over the drive cycle." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-7", - "metadata": {}, - "outputs": [], - "source": [ - "def plot_res_pwr():\n", - " \"\"\"Plot reversible energy storage powers\"\"\"\n", - " fig, ax = plt.subplots(3, 1, sharex=True, figsize=(10, 8))\n", - " plt.suptitle(\"Reversible Energy Storage Power\")\n", - "\n", - " ax[0].plot(\n", - " df[\"cyc.time_seconds\"],\n", - " df[\"veh.pt_type.BEV.res.history.pwr_out_electrical_watts\"] / 1e3,\n", - " label=\"electrical out\",\n", - " )\n", - " ax[0].set_ylabel(\"RES Power [kW]\")\n", - " ax[0].legend()\n", - "\n", - " ax[1].plot(\n", - " df[\"cyc.time_seconds\"],\n", - " df[\"veh.pt_type.BEV.res.history.soc\"],\n", - " )\n", - " ax[1].set_ylabel(\"SOC\")\n", - "\n", - " ax[2].plot(\n", - " df[\"cyc.time_seconds\"],\n", - " df[\"veh.history.speed_ach_meters_per_second\"],\n", - " )\n", - " ax[2].set_xlabel(\"Time [s]\")\n", - " ax[2].set_ylabel(\"Ach Speed [m/s]\")\n", - "\n", - " plt.tight_layout()\n", - " if SAVE_FIGS:\n", - " plt.savefig(Path(\"./plots/res_pwr.svg\"))\n", - " if SHOW_PLOTS:\n", - " plt.show()\n", - "\n", - " return fig, ax" - ] - }, - { - "cell_type": "markdown", - "id": "cell-8", - "metadata": {}, - "source": [ - "Battery electrical output power and state of charge over the drive cycle." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-9", - "metadata": {}, - "outputs": [], - "source": [ - "fig, ax = plot_res_pwr()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-10", - "metadata": {}, - "outputs": [], - "source": [ - "def plot_res_energy():\n", - " \"\"\"Plot reversible energy storage energies\"\"\"\n", - " fig, ax = plt.subplots(3, 1, sharex=True, figsize=(10, 8))\n", - " plt.suptitle(\"Reversible Energy Storage Energy\")\n", - "\n", - " ax[0].plot(\n", - " df[\"cyc.time_seconds\"],\n", - " df[\"veh.pt_type.BEV.res.history.energy_out_electrical_joules\"] / 1e6,\n", - " label=\"electrical out\",\n", - " )\n", - " ax[0].set_ylabel(\"RES Energy [MJ]\")\n", - " ax[0].legend()\n", - "\n", - " ax[1].plot(\n", - " df[\"cyc.time_seconds\"],\n", - " df[\"veh.pt_type.BEV.res.history.soc\"],\n", - " )\n", - " ax[1].set_ylabel(\"SOC\")\n", - "\n", - " ax[2].plot(\n", - " df[\"cyc.time_seconds\"],\n", - " df[\"veh.history.speed_ach_meters_per_second\"],\n", - " )\n", - " ax[2].set_xlabel(\"Time [s]\")\n", - " ax[2].set_ylabel(\"Ach Speed [m/s]\")\n", - "\n", - " plt.tight_layout()\n", - " if SAVE_FIGS:\n", - " plt.savefig(Path(\"./plots/res_energy.svg\"))\n", - " if SHOW_PLOTS:\n", - " plt.show()\n", - "\n", - " return fig, ax" - ] - }, - { - "cell_type": "markdown", - "id": "cell-11", - "metadata": {}, - "source": [ - "Cumulative battery electrical output energy and state of charge over the\n", - "drive cycle." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-12", - "metadata": {}, - "outputs": [], - "source": [ - "fig, ax = plot_res_energy()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-13", - "metadata": {}, - "outputs": [], - "source": [ - "def plot_road_loads():\n", - " \"\"\"Plot road loads\"\"\"\n", - " fig, ax = plt.subplots(2, 1, sharex=True, figsize=(10, 6))\n", - " plt.suptitle(\"Road Loads\")\n", - "\n", - " ax[0].plot(\n", - " df[\"cyc.time_seconds\"],\n", - " df[\"veh.history.pwr_drag_watts\"] / 1e3,\n", - " label=\"drag\",\n", - " )\n", - " ax[0].plot(\n", - " df[\"cyc.time_seconds\"],\n", - " df[\"veh.history.pwr_rr_watts\"] / 1e3,\n", - " label=\"rolling resistance\",\n", - " )\n", - " ax[0].set_ylabel(\"Power [kW]\")\n", - " ax[0].legend()\n", - "\n", - " ax[1].plot(\n", - " df[\"cyc.time_seconds\"],\n", - " df[\"veh.history.speed_ach_meters_per_second\"],\n", - " )\n", - " ax[1].set_xlabel(\"Time [s]\")\n", - " ax[1].set_ylabel(\"Ach. Speed [m/s]\")\n", - "\n", - " plt.tight_layout()\n", - " if SAVE_FIGS:\n", - " plt.savefig(Path(\"./plots/road_loads.svg\"))\n", - " if SHOW_PLOTS:\n", - " plt.show()\n", - "\n", - " return fig, ax" - ] - }, - { - "cell_type": "markdown", - "id": "cell-14", - "metadata": {}, - "source": [ - "Aerodynamic drag power and rolling resistance power over the drive cycle." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-15", - "metadata": {}, - "outputs": [], - "source": [ - "fig, ax = plot_road_loads()" - ] - }, - { - "cell_type": "markdown", - "id": "cell-16", - "metadata": {}, - "source": [ - "*Source: `fastsim/docs/demo_scripts/demo_bev.py`*" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "name": "python" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/docs/demo_notebooks/demo_bev_thrml_cs_ca.ipynb b/docs/demo_notebooks/demo_bev_thrml_cs_ca.ipynb deleted file mode 100644 index f5ab8f59d..000000000 --- a/docs/demo_notebooks/demo_bev_thrml_cs_ca.ipynb +++ /dev/null @@ -1,197 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "cell-0", - "metadata": {}, - "source": [ - "# BEV Thermal Demo: Cold Start, Cold Ambient\n", - "\n", - "This demo simulates a Battery Electric Vehicle (BEV) with thermal modeling under\n", - "cold start and cold ambient conditions, where the cabin and battery begin\n", - "at the same temperature as the surrounding air." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-1", - "metadata": {}, - "outputs": [], - "source": [ - "import os\n", - "import sys\n", - "from pathlib import Path\n", - "\n", - "import seaborn as sns\n", - "\n", - "sys.path.insert(0, str(next(p / \"demo_scripts\" for p in (Path.cwd(), *Path.cwd().parents) if (p / \"demo_scripts\").is_dir())))\n", - "\n", - "import fastsim as fsim\n", - "from plot_utils import (\n", - " plot_bev_hvac_pwr,\n", - " plot_bev_res_energy,\n", - " plot_bev_res_pwr,\n", - " plot_bev_temperatures,\n", - " plot_road_loads,\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-2", - "metadata": {}, - "outputs": [], - "source": [ - "sns.set_theme()\n", - "\n", - "SHOW_PLOTS = os.environ.get(\"SHOW_PLOTS\", \"true\").lower() == \"true\"\n", - "SAVE_FIGS = os.environ.get(\"SAVE_FIGS\", \"false\").lower() == \"true\"" - ] - }, - { - "cell_type": "markdown", - "id": "cell-3", - "metadata": {}, - "source": [ - "## Setup and Simulation\n", - "\n", - "Load a thermal BEV, set cold initial temperatures for the cabin and\n", - "battery to match the cold ambient, and run the simulation." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-4", - "metadata": {}, - "outputs": [], - "source": [ - "celsius_to_kelvin = 273.15\n", - "temp_amb_and_init = -6.7 + celsius_to_kelvin\n", - "\n", - "# load 2020 Chevrolet Bolt BEV with thermal model\n", - "veh = fsim.Vehicle.from_resource(\"2020 Chevrolet Bolt EV thrml.yaml\")\n", - "\n", - "veh_dict = veh.to_pydict()\n", - "veh_dict[\"cabin\"][\"LumpedCabin\"][\"state\"][\"temperature_kelvin\"] = temp_amb_and_init\n", - "veh_dict[\"pt_type\"][\"BEV\"][\"res\"][\"thrml\"][\"RESLumpedThermal\"][\"state\"][\"temperature_kelvin\"] = (\n", - " temp_amb_and_init\n", - ")\n", - "veh = fsim.Vehicle.from_pydict(veh_dict)\n", - "\n", - "veh.set_save_interval(1)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-5", - "metadata": {}, - "outputs": [], - "source": [ - "# load cycle and set ambient temperature\n", - "cyc_dict = fsim.Cycle.from_resource(\"udds.csv\").to_pydict()\n", - "cyc_dict[\"temp_amb_air_kelvin\"] = [temp_amb_and_init] * len(cyc_dict[\"time_seconds\"])\n", - "cyc = fsim.Cycle.from_pydict(cyc_dict)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-6", - "metadata": {}, - "outputs": [], - "source": [ - "sd = fsim.SimDrive(veh, cyc)\n", - "sd.walk()\n", - "\n", - "df = sd.to_dataframe()\n", - "sd_dict = sd.to_pydict(flatten=True)" - ] - }, - { - "cell_type": "markdown", - "id": "cell-7", - "metadata": {}, - "source": [ - "## Visualize Results\n", - "\n", - "Battery power, energy, component temperatures, Heating, Ventilation, and\n", - "Air Conditioning (HVAC) power demand, and road loads under cold start,\n", - "cold ambient conditions." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-8", - "metadata": {}, - "outputs": [], - "source": [ - "fig_res_pwr, ax_res_pwr = plot_bev_res_pwr(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-9", - "metadata": {}, - "outputs": [], - "source": [ - "fig_res_energy, ax_res_energy = plot_bev_res_energy(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-10", - "metadata": {}, - "outputs": [], - "source": [ - "fig_temps, ax_temps = plot_bev_temperatures(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-11", - "metadata": {}, - "outputs": [], - "source": [ - "fig_hvac, ax_hvac = plot_bev_hvac_pwr(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-12", - "metadata": {}, - "outputs": [], - "source": [ - "fig, ax = plot_road_loads(df, veh, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" - ] - }, - { - "cell_type": "markdown", - "id": "cell-13", - "metadata": {}, - "source": [ - "*Source: `fastsim/docs/demo_scripts/demo_bev_thrml_cs_ca.py`*" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "name": "python" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/docs/demo_notebooks/demo_bev_thrml_sweep.ipynb b/docs/demo_notebooks/demo_bev_thrml_sweep.ipynb deleted file mode 100644 index 8cbbc8945..000000000 --- a/docs/demo_notebooks/demo_bev_thrml_sweep.ipynb +++ /dev/null @@ -1,471 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "cell-0", - "metadata": {}, - "source": [ - "---\n", - "execute:\n", - " skip: true\n", - "---\n", - "\n", - "# BEV Thermal Sweep\n", - "\n", - "This demo sweeps ambient and initial temperatures for a thermal\n", - "Battery Electric Vehicle (BEV) across Urban Dynamometer Driving\n", - "Schedule (UDDS) and Highway Fuel Economy Test (HWFET) cycles,\n", - "computing Energy Consumption Rate (ECR, kW-hr/100mi) for each\n", - "combination." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-1", - "metadata": {}, - "outputs": [], - "source": [ - "import os\n", - "from collections.abc import Hashable\n", - "from multiprocessing import Pool\n", - "from pathlib import Path\n", - "from typing import Any, cast\n", - "\n", - "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "import pandas as pd\n", - "import seaborn as sns\n", - "\n", - "import fastsim as fsim" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-2", - "metadata": {}, - "outputs": [], - "source": [ - "sns.set_theme()\n", - "\n", - "SHOW_PLOTS = os.environ.get(\"SHOW_PLOTS\", \"true\").lower() == \"true\"\n", - "SAVE_FIGS = os.environ.get(\"SAVE_FIGS\", \"false\").lower() == \"true\"" - ] - }, - { - "cell_type": "markdown", - "id": "cell-3", - "metadata": {}, - "source": [ - "## Constants and Sweep Configuration\n", - "\n", - "The sweep varies ambient temperature from -7 to 40 C and initial\n", - "cabin/battery temperature from -7 to 45 C. Each combination is\n", - "simulated over both UDDS and HWFET cycles." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-4", - "metadata": {}, - "outputs": [], - "source": [ - "cyc_key = \"cycle\"\n", - "te_amb_key = \"te_amb [*C]\"\n", - "te_init_key = \"te_init [*C]\"\n", - "ecr_key = \"ECR [kW-hr/100mi]\"\n", - "udds = \"udds\"\n", - "hwfet = \"hwfet\"\n", - "\n", - "celsius_to_kelvin = 273.15\n", - "mph_per_mps = 2.24\n", - "\n", - "sweep_size = 10\n", - "n_proc = 4\n", - "\n", - "te_amb_arr_k: list[float] = [\n", - " t + celsius_to_kelvin for t in np.linspace(-7.0, 40.0, sweep_size)\n", - "]\n", - "te_batt_and_cab_init_arr_k: list[float] = [\n", - " t + celsius_to_kelvin for t in np.linspace(-7.0, 45.0, sweep_size)\n", - "]" - ] - }, - { - "cell_type": "markdown", - "id": "cell-5", - "metadata": {}, - "source": [ - "## Helper Functions" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-6", - "metadata": {}, - "outputs": [], - "source": [ - "def try_walk(sd: fsim.SimDrive, loc: str) -> None:\n", - " \"\"\"Wrap `walk` in try to enable context\"\"\"\n", - " try:\n", - " sd.walk()\n", - " except Exception as err:\n", - " raise Exception(f\"{loc}:\\n{err}\")\n", - "\n", - "\n", - "def solve_row(iterrow: tuple[Hashable, pd.Series]) -> dict[str, Any]:\n", - " \"\"\"Solve a single row of the DOE dataframe\"\"\"\n", - " row = iterrow[1]\n", - " if cast(int, iterrow[0]) % 500 == 0:\n", - " print()\n", - " print(fsim.utils.utilities.print_dt())\n", - " print(row)\n", - " cyc_str = row[cyc_key]\n", - " te_amb_k = row[te_amb_key] + celsius_to_kelvin\n", - " te_init_k = row[te_init_key] + celsius_to_kelvin\n", - " cyc = fsim.Cycle.from_resource(cyc_str + \".csv\")\n", - " cyc_dict = cyc.to_pydict()\n", - " cyc_dict[\"temp_amb_air_kelvin\"] = [te_amb_k] * cyc.len()\n", - " cyc = fsim.Cycle.from_pydict(cyc_dict)\n", - "\n", - " veh = fsim.Vehicle.from_resource(\"2020 Chevrolet Bolt EV thrml.yaml\")\n", - " veh.set_save_interval(1)\n", - " veh_dict = veh.to_pydict()\n", - "\n", - " veh_dict[\"pt_type\"][\"BEV\"][\"res\"][\"thrml\"][\"RESLumpedThermal\"][\"state\"][\n", - " \"temperature_kelvin\"\n", - " ] = te_init_k\n", - " veh_dict[\"pt_type\"][\"BEV\"][\"res\"][\"thrml\"][\"RESLumpedThermal\"][\"state\"][\"temp_prev_kelvin\"] = (\n", - " te_init_k\n", - " )\n", - " veh_dict[\"cabin\"][\"LumpedCabin\"][\"state\"][\"temperature_kelvin\"] = te_init_k\n", - " veh_dict[\"cabin\"][\"LumpedCabin\"][\"state\"][\"temp_prev_kelvin\"] = te_init_k\n", - "\n", - " veh = fsim.Vehicle.from_pydict(veh_dict)\n", - " sd = fsim.SimDrive(veh, cyc, None)\n", - " try_walk(sd, f\"`sd_prep`, te_amb: {te_amb_k}, te_init: {te_init_k}\")\n", - " veh_dict_solved = sd.to_pydict()[\"veh\"]\n", - "\n", - " new_row = {\n", - " cyc_key: cyc_str,\n", - " te_amb_key: te_amb_k - celsius_to_kelvin,\n", - " te_init_key: te_init_k - celsius_to_kelvin,\n", - " ecr_key: veh_dict_solved[\"pt_type\"][\"BEV\"][\"res\"][\"state\"][\"energy_out_chemical_joules\"]\n", - " / 1_000\n", - " / 3_600\n", - " / (veh_dict_solved[\"state\"][\"dist_meters\"] / 1e3 / 1.61)\n", - " * 100.0,\n", - " \"sd\": sd.to_pydict(),\n", - " }\n", - "\n", - " return new_row" - ] - }, - { - "cell_type": "markdown", - "id": "cell-7", - "metadata": {}, - "source": [ - "## Build and Run Sweep\n", - "\n", - "Build a full factorial Design of Experiments (DOE) across cycles, ambient temperatures, and\n", - "initial temperatures, then solve each combination. Results are filtered\n", - "to feasible combinations based on ambient/initial temperature proximity." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-8", - "metadata": {}, - "outputs": [], - "source": [ - "def setup_sweep() -> pd.DataFrame:\n", - " \"\"\"Set up full factorial of ambient and initial conditions\"\"\"\n", - " res_list = []\n", - " for cyc_str in [udds, hwfet]:\n", - " for te_amb_k in te_amb_arr_k:\n", - " for te_init_k in te_batt_and_cab_init_arr_k:\n", - " new_row = {\n", - " cyc_key: cyc_str,\n", - " te_amb_key: te_amb_k - celsius_to_kelvin,\n", - " te_init_key: te_init_k - celsius_to_kelvin,\n", - " }\n", - " res_list.append(new_row)\n", - "\n", - " return pd.DataFrame(res_list)\n", - "\n", - "\n", - "def sweep(df: pd.DataFrame, n_proc: int | None) -> tuple[pd.DataFrame, pd.DataFrame]:\n", - " \"\"\"Sweep ambient and initial conditions, returning all and feasible results\"\"\"\n", - " if n_proc is not None:\n", - " with Pool(n_proc) as pool:\n", - " res_list = pool.map(solve_row, df.iterrows())\n", - " else:\n", - " res_list = [solve_row(row) for row in df.iterrows()]\n", - "\n", - " df_res = pd.DataFrame(res_list)\n", - "\n", - " res_list_feasible = []\n", - " for i, row in df_res.iterrows():\n", - " te_amb_k = row[te_amb_key] + celsius_to_kelvin\n", - " te_init_k = row[te_init_key] + celsius_to_kelvin\n", - " feasible = (\n", - " ((te_init_k - celsius_to_kelvin) >= 17.0) & ((te_amb_k + 5) >= te_init_k)\n", - " |\n", - " ((te_init_k - celsius_to_kelvin) <= 27.0) & ((te_amb_k - 5) <= te_init_k)\n", - " )\n", - " if feasible:\n", - " res_list_feasible.append(row)\n", - "\n", - " df_feasible = pd.DataFrame(res_list_feasible)\n", - "\n", - " return df_res, df_feasible" - ] - }, - { - "cell_type": "markdown", - "id": "cell-9", - "metadata": {}, - "source": [ - "## Plot ECR Sweep Results\n", - "\n", - "ECR plotted against ambient and initial temperatures for UDDS and HWFET\n", - "cycles. Solid lines show feasible combinations, dashed lines show all\n", - "combinations." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-10", - "metadata": {}, - "outputs": [], - "source": [ - "def plot_sweep(\n", - " df: pd.DataFrame,\n", - " df_feas: pd.DataFrame,\n", - " cyc: str,\n", - " x_var: str,\n", - " par_var_sweep: list[float],\n", - " show_plots: bool = False,\n", - " save_figs: bool = False,\n", - ") -> tuple[plt.Figure, plt.Axes]:\n", - " \"\"\"Plot ECR sweep, parametric style\"\"\"\n", - " par_var = te_init_key if x_var == te_amb_key else te_amb_key\n", - " var_to_title = {te_amb_key: \"Amb.\", te_init_key: \"Init.\"}\n", - "\n", - " fig, ax = plt.subplots()\n", - " if not (show_plots) and not (save_figs):\n", - " return (fig, ax)\n", - " title_str = cyc.upper() + f\" ECR v. {var_to_title[x_var]} and {var_to_title[par_var]} Temp.\"\n", - " fig.suptitle(title_str)\n", - " for par_var_val in par_var_sweep:\n", - " df_fltrd = df[(df[par_var] == par_var_val) & (df[cyc_key] == cyc)]\n", - " df_feas_fltrd = df_feas[(df_feas[par_var] == par_var_val) & (df_feas[cyc_key] == cyc)]\n", - " line = ax.plot(\n", - " df_feas_fltrd[x_var],\n", - " df_feas_fltrd[ecr_key],\n", - " label=f\"{par_var_val:.1f}\",\n", - " )[0]\n", - " ax.plot(\n", - " df_fltrd[x_var],\n", - " df_fltrd[ecr_key],\n", - " color=line.get_color(),\n", - " linestyle=\"--\",\n", - " alpha=0.5,\n", - " )\n", - " ax.plot(\n", - " df_feas_fltrd[x_var],\n", - " df_feas_fltrd[ecr_key],\n", - " marker=\".\",\n", - " color=line.get_color(),\n", - " linestyle=None,\n", - " )\n", - " ax.set_xlabel(var_to_title[x_var] + \"Temp. [*C]\")\n", - " ax.set_ylabel(\"ECR [kW-hr/100mi]\")\n", - " ax.legend(title=par_var)\n", - " plt.tight_layout()\n", - "\n", - " if save_figs:\n", - " fig.savefig(Path(__file__).parent / (title_str + \".svg\"))\n", - " if show_plots:\n", - " plt.show()\n", - "\n", - " return fig, ax" - ] - }, - { - "cell_type": "markdown", - "id": "cell-11", - "metadata": {}, - "source": [ - "## Plot Cross Effects\n", - "\n", - "Change in ECR per change in temperature (dECR/dT) for UDDS and HWFET\n", - "cycles." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-12", - "metadata": {}, - "outputs": [], - "source": [ - "def plot_sweep_cross_effects(\n", - " df: pd.DataFrame,\n", - " df_feas: pd.DataFrame,\n", - " cyc: str,\n", - " x_var: str,\n", - " par_var_sweep: list[float],\n", - " show_plots: bool = False,\n", - " save_figs: bool = False,\n", - ") -> tuple[plt.Figure, plt.Axes]:\n", - " \"\"\"Plot ECR sensitivity to temperature changes\"\"\"\n", - " par_var = te_init_key if x_var == te_amb_key else te_amb_key\n", - " var_to_title = {te_amb_key: \"Amb.\", te_init_key: \"Init.\"}\n", - "\n", - " fig, ax = plt.subplots()\n", - " if not (show_plots) and not (save_figs):\n", - " return (fig, ax)\n", - " title_str = cyc.upper() + f\" dECR per d{var_to_title[x_var]}\"\n", - " fig.suptitle(title_str)\n", - " for par_var_val in par_var_sweep:\n", - " df_fltrd = df[(df[par_var] == par_var_val) & (df[cyc_key] == cyc)]\n", - " df_feas_fltrd = df_feas[(df_feas[par_var] == par_var_val) & (df_feas[cyc_key] == cyc)]\n", - " d_ecr_d_x_var = np.diff(df_fltrd[ecr_key]) / np.diff(df_fltrd[x_var])\n", - " d_ecr_d_x_var_feas = np.diff(df_feas_fltrd[ecr_key]) / np.diff(df_feas_fltrd[x_var])\n", - " line = ax.plot(\n", - " df_feas_fltrd[x_var][1:],\n", - " d_ecr_d_x_var_feas,\n", - " label=f\"{par_var_val:.1f}\",\n", - " )[0]\n", - " ax.plot(\n", - " df_fltrd[x_var][1:],\n", - " d_ecr_d_x_var,\n", - " color=line.get_color(),\n", - " linestyle=\"--\",\n", - " alpha=0.5,\n", - " )\n", - " ax.plot(\n", - " df_feas_fltrd[x_var][1:],\n", - " d_ecr_d_x_var_feas,\n", - " marker=\".\",\n", - " color=line.get_color(),\n", - " linestyle=None,\n", - " )\n", - " ax.set_xlabel(var_to_title[x_var] + \"Temp. [*C]\")\n", - " ax.set_ylabel(f\"dECR [kW-hr/100mi] / d{var_to_title[x_var]}\")\n", - " ax.legend(title=par_var)\n", - " plt.tight_layout()\n", - "\n", - " if save_figs:\n", - " fig.savefig(Path(__file__).parent / (title_str + \".svg\"))\n", - " if show_plots:\n", - " plt.show()\n", - "\n", - " return fig, ax" - ] - }, - { - "cell_type": "markdown", - "id": "cell-13", - "metadata": {}, - "source": [ - "## Cross-Effect Deltas\n", - "\n", - "Percent increase in ECR across the sweep range when one temperature\n", - "variable is held near 22-24 C." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-14", - "metadata": {}, - "outputs": [], - "source": [ - "def print_cross_delta(df: pd.DataFrame, cycle: str, fixed_var: str) -> None:\n", - " \"\"\"Print percent increase in ECR when one variable is fixed between 22-24 C\"\"\"\n", - " ecr = df[((df[fixed_var] > 22.0) & (df[fixed_var] < 24.0)) & (df[cyc_key] == cycle)][ecr_key]\n", - " ecr_delta = (ecr.max() - ecr.min()) / ecr.min()\n", - " print(\n", - " f\"Percent increase between lowest and highest ECR for {cycle} and fixed {fixed_var}:\"\n", - " + f\" {ecr_delta:.5%}\",\n", - " )" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-15", - "metadata": {}, - "outputs": [], - "source": [ - "if __name__ == \"__main__\":\n", - " df_doe = setup_sweep()\n", - " df_res, df_feasible = sweep(df_doe, n_proc)\n", - "\n", - " te_amb_step = int(len(te_amb_arr_k) / 10) if len(te_amb_arr_k) > 10 else 1\n", - " te_amb_short_deg_c = [te_amb_k - celsius_to_kelvin for te_amb_k in te_amb_arr_k][::te_amb_step]\n", - "\n", - " te_init_step = (\n", - " int(len(te_batt_and_cab_init_arr_k) / 10) if len(te_batt_and_cab_init_arr_k) > 10 else 1\n", - " )\n", - " te_init_short_deg_c = [\n", - " te_init_k - celsius_to_kelvin for te_init_k in te_batt_and_cab_init_arr_k\n", - " ][::te_init_step]\n", - "\n", - " plot_sweep(df_res, df_feasible, udds, te_init_key, te_amb_short_deg_c, SHOW_PLOTS, SAVE_FIGS)\n", - " plot_sweep(df_res, df_feasible, udds, te_amb_key, te_init_short_deg_c, SHOW_PLOTS, SAVE_FIGS)\n", - " plot_sweep(df_res, df_feasible, hwfet, te_init_key, te_amb_short_deg_c, SHOW_PLOTS, SAVE_FIGS)\n", - " plot_sweep(df_res, df_feasible, hwfet, te_amb_key, te_init_short_deg_c, SHOW_PLOTS, SAVE_FIGS)\n", - "\n", - " plot_sweep_cross_effects(\n", - " df_res, df_feasible, udds, te_init_key, te_amb_short_deg_c, SHOW_PLOTS, SAVE_FIGS)\n", - " plot_sweep_cross_effects(\n", - " df_res, df_feasible, udds, te_amb_key, te_init_short_deg_c, SHOW_PLOTS, SAVE_FIGS)\n", - " plot_sweep_cross_effects(\n", - " df_res, df_feasible, hwfet, te_init_key, te_amb_short_deg_c, SHOW_PLOTS, SAVE_FIGS)\n", - " plot_sweep_cross_effects(\n", - " df_res, df_feasible, hwfet, te_amb_key, te_init_short_deg_c, SHOW_PLOTS, SAVE_FIGS)\n", - "\n", - " print(\"Cross-effect deltas w.r.t. full dataframe\")\n", - " print_cross_delta(df_res, udds, te_init_key)\n", - " print_cross_delta(df_res, udds, te_amb_key)\n", - " print_cross_delta(df_res, hwfet, te_init_key)\n", - " print_cross_delta(df_res, hwfet, te_amb_key)\n", - "\n", - " print(\"\\nCross-effect deltas w.r.t. feasible dataframe\")\n", - " print_cross_delta(df_feasible, udds, te_init_key)\n", - " print_cross_delta(df_feasible, udds, te_amb_key)\n", - " print_cross_delta(df_feasible, hwfet, te_init_key)\n", - " print_cross_delta(df_feasible, hwfet, te_amb_key)" - ] - }, - { - "cell_type": "markdown", - "id": "cell-16", - "metadata": {}, - "source": [ - "*Source: `fastsim/docs/demo_scripts/demo_bev_thrml_sweep.py`*" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "name": "python" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/docs/demo_notebooks/demo_bev_thrml_ws_ca.ipynb b/docs/demo_notebooks/demo_bev_thrml_ws_ca.ipynb deleted file mode 100644 index f5130fabf..000000000 --- a/docs/demo_notebooks/demo_bev_thrml_ws_ca.ipynb +++ /dev/null @@ -1,198 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "cell-0", - "metadata": {}, - "source": [ - "# BEV Thermal Demo: Warm Start, Cold Ambient\n", - "\n", - "This demo simulates a Battery Electric Vehicle (BEV) with thermal modeling under\n", - "warm start and cold ambient conditions, where the cabin and battery begin\n", - "warm while the surrounding air is cold." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-1", - "metadata": {}, - "outputs": [], - "source": [ - "import os\n", - "import sys\n", - "from pathlib import Path\n", - "\n", - "import seaborn as sns\n", - "\n", - "sys.path.insert(0, str(next(p / \"demo_scripts\" for p in (Path.cwd(), *Path.cwd().parents) if (p / \"demo_scripts\").is_dir())))\n", - "\n", - "import fastsim as fsim\n", - "from plot_utils import (\n", - " plot_bev_hvac_pwr,\n", - " plot_bev_res_energy,\n", - " plot_bev_res_pwr,\n", - " plot_bev_temperatures,\n", - " plot_road_loads,\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-2", - "metadata": {}, - "outputs": [], - "source": [ - "sns.set_theme()\n", - "\n", - "SHOW_PLOTS = os.environ.get(\"SHOW_PLOTS\", \"true\").lower() == \"true\"\n", - "SAVE_FIGS = os.environ.get(\"SAVE_FIGS\", \"false\").lower() == \"true\"" - ] - }, - { - "cell_type": "markdown", - "id": "cell-3", - "metadata": {}, - "source": [ - "## Setup and Simulation\n", - "\n", - "Load a thermal BEV, set warm initial temperatures for the cabin and\n", - "battery with a cold ambient temperature, and run the simulation." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-4", - "metadata": {}, - "outputs": [], - "source": [ - "celsius_to_kelvin = 273.15\n", - "temp_amb = -6.7 + celsius_to_kelvin\n", - "temp_init_bat_and_cab = 22.0 + celsius_to_kelvin\n", - "\n", - "# load 2020 Chevrolet Bolt BEV with thermal model\n", - "veh = fsim.Vehicle.from_resource(\"2020 Chevrolet Bolt EV thrml.yaml\")\n", - "\n", - "veh_dict = veh.to_pydict()\n", - "veh_dict[\"cabin\"][\"LumpedCabin\"][\"state\"][\"temperature_kelvin\"] = temp_init_bat_and_cab\n", - "veh_dict[\"pt_type\"][\"BEV\"][\"res\"][\"thrml\"][\"RESLumpedThermal\"][\"state\"][\"temperature_kelvin\"] = (\n", - " temp_init_bat_and_cab\n", - ")\n", - "veh = fsim.Vehicle.from_pydict(veh_dict)\n", - "\n", - "veh.set_save_interval(1)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-5", - "metadata": {}, - "outputs": [], - "source": [ - "# load cycle and set ambient temperature\n", - "cyc_dict = fsim.Cycle.from_resource(\"udds.csv\").to_pydict()\n", - "cyc_dict[\"temp_amb_air_kelvin\"] = [temp_amb] * len(cyc_dict[\"time_seconds\"])\n", - "cyc = fsim.Cycle.from_pydict(cyc_dict)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-6", - "metadata": {}, - "outputs": [], - "source": [ - "sd = fsim.SimDrive(veh, cyc)\n", - "sd.walk()\n", - "\n", - "df = sd.to_dataframe()\n", - "sd_dict = sd.to_pydict(flatten=True)" - ] - }, - { - "cell_type": "markdown", - "id": "cell-7", - "metadata": {}, - "source": [ - "## Visualize Results\n", - "\n", - "Battery power, energy, component temperatures, Heating, Ventilation, and\n", - "Air Conditioning (HVAC) power demand, and road loads under warm start,\n", - "cold ambient conditions." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-8", - "metadata": {}, - "outputs": [], - "source": [ - "fig_res_pwr, ax_res_pwr = plot_bev_res_pwr(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-9", - "metadata": {}, - "outputs": [], - "source": [ - "fig_res_energy, ax_res_energy = plot_bev_res_energy(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-10", - "metadata": {}, - "outputs": [], - "source": [ - "fig_temps, ax_temps = plot_bev_temperatures(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-11", - "metadata": {}, - "outputs": [], - "source": [ - "fig_hvac, ax_hvac = plot_bev_hvac_pwr(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-12", - "metadata": {}, - "outputs": [], - "source": [ - "fig, ax = plot_road_loads(df, veh, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" - ] - }, - { - "cell_type": "markdown", - "id": "cell-13", - "metadata": {}, - "source": [ - "*Source: `fastsim/docs/demo_scripts/demo_bev_thrml_ws_ca.py`*" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "name": "python" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/docs/demo_notebooks/demo_bev_thrml_ws_wa.ipynb b/docs/demo_notebooks/demo_bev_thrml_ws_wa.ipynb deleted file mode 100644 index 524755ca7..000000000 --- a/docs/demo_notebooks/demo_bev_thrml_ws_wa.ipynb +++ /dev/null @@ -1,198 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "cell-0", - "metadata": {}, - "source": [ - "# BEV Thermal Demo: Warm Start, Warm Ambient\n", - "\n", - "This demo simulates a Battery Electric Vehicle (BEV) with thermal modeling under\n", - "warm start and warm ambient conditions, where the cabin and battery begin\n", - "hot and the surrounding air is also hot." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-1", - "metadata": {}, - "outputs": [], - "source": [ - "import os\n", - "import sys\n", - "from pathlib import Path\n", - "\n", - "import seaborn as sns\n", - "\n", - "sys.path.insert(0, str(next(p / \"demo_scripts\" for p in (Path.cwd(), *Path.cwd().parents) if (p / \"demo_scripts\").is_dir())))\n", - "\n", - "import fastsim as fsim\n", - "from plot_utils import (\n", - " plot_bev_hvac_pwr,\n", - " plot_bev_res_energy,\n", - " plot_bev_res_pwr,\n", - " plot_bev_temperatures,\n", - " plot_road_loads,\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-2", - "metadata": {}, - "outputs": [], - "source": [ - "sns.set_theme()\n", - "\n", - "SHOW_PLOTS = os.environ.get(\"SHOW_PLOTS\", \"true\").lower() == \"true\"\n", - "SAVE_FIGS = os.environ.get(\"SAVE_FIGS\", \"false\").lower() == \"true\"" - ] - }, - { - "cell_type": "markdown", - "id": "cell-3", - "metadata": {}, - "source": [ - "## Setup and Simulation\n", - "\n", - "Load a thermal BEV, set warm initial temperatures for the cabin and\n", - "battery with a warm ambient temperature, and run the simulation." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-4", - "metadata": {}, - "outputs": [], - "source": [ - "celsius_to_kelvin = 273.15\n", - "temp_amb = 38.0 + celsius_to_kelvin\n", - "temp_init = 45.0 + celsius_to_kelvin\n", - "\n", - "# load 2020 Chevrolet Bolt BEV with thermal model\n", - "veh = fsim.Vehicle.from_resource(\"2020 Chevrolet Bolt EV thrml.yaml\")\n", - "\n", - "veh_dict = veh.to_pydict()\n", - "veh_dict[\"cabin\"][\"LumpedCabin\"][\"state\"][\"temperature_kelvin\"] = temp_init\n", - "veh_dict[\"pt_type\"][\"BEV\"][\"res\"][\"thrml\"][\"RESLumpedThermal\"][\"state\"][\"temperature_kelvin\"] = (\n", - " temp_init\n", - ")\n", - "veh = fsim.Vehicle.from_pydict(veh_dict)\n", - "\n", - "veh.set_save_interval(1)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-5", - "metadata": {}, - "outputs": [], - "source": [ - "# load cycle and set ambient temperature\n", - "cyc_dict = fsim.Cycle.from_resource(\"udds.csv\").to_pydict()\n", - "cyc_dict[\"temp_amb_air_kelvin\"] = [temp_amb] * len(cyc_dict[\"time_seconds\"])\n", - "cyc = fsim.Cycle.from_pydict(cyc_dict)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-6", - "metadata": {}, - "outputs": [], - "source": [ - "sd = fsim.SimDrive(veh, cyc)\n", - "sd.walk()\n", - "\n", - "df = sd.to_dataframe()\n", - "sd_dict = sd.to_pydict(flatten=True)" - ] - }, - { - "cell_type": "markdown", - "id": "cell-7", - "metadata": {}, - "source": [ - "## Visualize Results\n", - "\n", - "Battery power, energy, component temperatures, Heating, Ventilation, and\n", - "Air Conditioning (HVAC) power demand, and road loads under warm start,\n", - "warm ambient conditions." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-8", - "metadata": {}, - "outputs": [], - "source": [ - "fig_res_pwr, ax_res_pwr = plot_bev_res_pwr(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-9", - "metadata": {}, - "outputs": [], - "source": [ - "fig_res_energy, ax_res_energy = plot_bev_res_energy(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-10", - "metadata": {}, - "outputs": [], - "source": [ - "fig_temps, ax_temps = plot_bev_temperatures(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-11", - "metadata": {}, - "outputs": [], - "source": [ - "fig_hvac, ax_hvac = plot_bev_hvac_pwr(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-12", - "metadata": {}, - "outputs": [], - "source": [ - "fig, ax = plot_road_loads(df, veh, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" - ] - }, - { - "cell_type": "markdown", - "id": "cell-13", - "metadata": {}, - "source": [ - "*Source: `fastsim/docs/demo_scripts/demo_bev_thrml_ws_wa.py`*" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "name": "python" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/docs/demo_notebooks/demo_coast_with_grade.ipynb b/docs/demo_notebooks/demo_coast_with_grade.ipynb deleted file mode 100644 index 3a452495b..000000000 --- a/docs/demo_notebooks/demo_coast_with_grade.ipynb +++ /dev/null @@ -1,175 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "cell-0", - "metadata": {}, - "source": [ - "# CAVS: Coasting with Grade\n", - "\n", - "This Connected Automated Vehicle (CAV) demo configures coasting on a\n", - "custom cycle that includes elevation changes. The plots show both speed\n", - "and elevation for the original and modified cycles." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-1", - "metadata": {}, - "outputs": [], - "source": [ - "import os\n", - "\n", - "import seaborn as sns\n", - "\n", - "import sys\n", - "from pathlib import Path\n", - "\n", - "sys.path.insert(0, str(next(p / \"demo_scripts\" for p in (Path.cwd(), *Path.cwd().parents) if (p / \"demo_scripts\").is_dir())))\n", - "\n", - "import fastsim as fsim\n", - "from plot_utils import plot_speed_by_time, plot_speed_by_dist" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-2", - "metadata": {}, - "outputs": [], - "source": [ - "sns.set_theme()\n", - "\n", - "SHOW_PLOTS = os.environ.get(\"SHOW_PLOTS\", \"true\").lower() == \"true\"\n", - "SAVE_FIGS = os.environ.get(\"SAVE_FIGS\", \"false\").lower() == \"true\"" - ] - }, - { - "cell_type": "markdown", - "id": "cell-3", - "metadata": {}, - "source": [ - "## Build a Custom Cycle with Grade\n", - "\n", - "This cycle has two acceleration/deceleration segments: one uphill (+2%\n", - "grade) and one downhill (-2% grade)." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-4", - "metadata": {}, - "outputs": [], - "source": [ - "cyc_d = {\n", - " \"time_seconds\": [\n", - " 0.0, 10.0, 20.0, 30.0, 40.0, 50.0, 60.0, 70.0, 80.0,\n", - " ],\n", - " \"speed_meters_per_second\": [\n", - " 0.0, 20.0, 20.0, 00.0, 00.0, 20.0, 20.0, 00.0, 00.0,\n", - " ],\n", - " \"init_elev_meters\": 1000.0,\n", - " \"grade\": [\n", - " 0.02, 0.02, 0.02, 0.02, 0.02, -0.02, -0.02, -0.02, -0.02,\n", - " ],\n", - "}\n", - "cyc0 = fsim.Cycle.from_pydict(cyc_d)\n", - "cyc = cyc0.resample(time_step_s=1.0)" - ] - }, - { - "cell_type": "markdown", - "id": "cell-5", - "metadata": {}, - "source": [ - "## Apply Coasting with Grade\n", - "\n", - "When `favor_grade_accuracy` is true, actual elevations are used for\n", - "grade-per-step estimates instead of the step start distance lookup." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-6", - "metadata": {}, - "outputs": [], - "source": [ - "veh = fsim.Vehicle.from_resource(\"2012_Ford_Fusion.yaml\")\n", - "veh.set_save_interval(1)\n", - "\n", - "man = fsim.Maneuver.create_from(cyc, veh.copy())\n", - "d = man.to_pydict()\n", - "d[\"coast_allow\"] = True\n", - "d[\"coast_brake_start_speed_meters_per_second\"] = 8.9408 # 20 mph\n", - "d[\"coast_brake_accel_meters_per_second_squared\"] = -2.5\n", - "d[\"favor_grade_accuracy\"] = True\n", - "d[\"coast_allow_passing\"] = True\n", - "d[\"coast_max_speed_meters_per_second\"] = 33.5280 # 75 mph\n", - "d[\"coast_time_horizon_for_adjustment_seconds\"] = 120.0\n", - "man = fsim.Maneuver.from_pydict(d)\n", - "\n", - "cyc = man.apply_maneuvers()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-7", - "metadata": {}, - "outputs": [], - "source": [ - "sd = fsim.SimDrive(veh, cyc)\n", - "sd.walk()" - ] - }, - { - "cell_type": "markdown", - "id": "cell-8", - "metadata": {}, - "source": [ - "## Results\n", - "\n", - "Speed and elevation for the original and modified cycles." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-9", - "metadata": {}, - "outputs": [], - "source": [ - "if SHOW_PLOTS:\n", - " c0 = cyc0.to_pydict()\n", - " df = sd.to_dataframe()\n", - " plot_speed_by_time(df, c0, title=\"Coast with Grade\", with_elevation=True,\n", - " save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)\n", - " plot_speed_by_dist(df, c0, title=\"Coast with Grade (distance)\", with_elevation=True,\n", - " save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" - ] - }, - { - "cell_type": "markdown", - "id": "cell-10", - "metadata": {}, - "source": [ - "*Source: `fastsim/docs/demo_scripts/demo_coast_with_grade.py`*" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "name": "python" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/docs/demo_notebooks/demo_conv.ipynb b/docs/demo_notebooks/demo_conv.ipynb deleted file mode 100644 index cf32f6c62..000000000 --- a/docs/demo_notebooks/demo_conv.ipynb +++ /dev/null @@ -1,307 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "cell-0", - "metadata": {}, - "source": [ - "# Conventional Vehicle Demo\n", - "\n", - "This demo simulates a conventional vehicle over a drive cycle and\n", - "visualizes the fuel converter and road load behavior." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-1", - "metadata": {}, - "outputs": [], - "source": [ - "import os\n", - "from pathlib import Path\n", - "\n", - "import matplotlib.pyplot as plt\n", - "import seaborn as sns\n", - "\n", - "import fastsim as fsim" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-2", - "metadata": {}, - "outputs": [], - "source": [ - "sns.set_theme()\n", - "\n", - "# if environment var `SHOW_PLOTS=false` is set, no plots are shown\n", - "SHOW_PLOTS = os.environ.get(\"SHOW_PLOTS\", \"true\").lower() == \"true\"\n", - "# if environment var `SAVE_FIGS=true` is set, save plots\n", - "SAVE_FIGS = os.environ.get(\"SAVE_FIGS\", \"false\").lower() == \"true\"" - ] - }, - { - "cell_type": "markdown", - "id": "cell-3", - "metadata": {}, - "source": [ - "## Setup and Simulation\n", - "\n", - "Load a vehicle and drive cycle, configure per-step state recording, run the\n", - "simulation, and extract the results." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-4", - "metadata": {}, - "outputs": [], - "source": [ - "# load 2012 Ford Fusion from file\n", - "veh = fsim.Vehicle.from_resource(\"2012_Ford_Fusion.yaml\")\n", - "\n", - "# Set `save_interval` at vehicle level -- cascades to all sub-components with time-varying states\n", - "veh.set_save_interval(1)\n", - "\n", - "# load cycle from file\n", - "cyc = fsim.Cycle.from_resource(\"udds.csv\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-5", - "metadata": {}, - "outputs": [], - "source": [ - "# instantiate `SimDrive` simulation object\n", - "sd = fsim.SimDrive(veh, cyc)\n", - "sd.walk()\n", - "\n", - "df = sd.to_dataframe()\n", - "sd_dict = sd.to_pydict(flatten=True)" - ] - }, - { - "cell_type": "markdown", - "id": "cell-6", - "metadata": {}, - "source": [ - "## Visualize Results\n", - "\n", - "The following plots show fuel converter and road load behavior over the\n", - "drive cycle." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-7", - "metadata": {}, - "outputs": [], - "source": [ - "def plot_fc_pwr():\n", - " \"\"\"Plot fuel converter powers\"\"\"\n", - " fig, ax = plt.subplots(2, 1, sharex=True, figsize=(10, 6))\n", - " plt.suptitle(\"Fuel Converter Power\")\n", - "\n", - " ax[0].plot(\n", - " df[\"cyc.time_seconds\"],\n", - " (\n", - " df[\"veh.pt_type.Conv.fc.history.pwr_prop_watts\"]\n", - " + df[\"veh.pt_type.Conv.fc.history.pwr_aux_watts\"]\n", - " )\n", - " / 1e3,\n", - " label=\"shaft\",\n", - " )\n", - " ax[0].plot(\n", - " df[\"cyc.time_seconds\"],\n", - " df[\"veh.pt_type.Conv.fc.history.pwr_fuel_watts\"] / 1e3,\n", - " label=\"fuel\",\n", - " )\n", - " ax[0].set_ylabel(\"FC Power [kW]\")\n", - " ax[0].legend()\n", - "\n", - " ax[1].plot(\n", - " df[\"cyc.time_seconds\"],\n", - " df[\"veh.history.speed_ach_meters_per_second\"],\n", - " )\n", - " ax[1].set_xlabel(\"Time [s]\")\n", - " ax[1].set_ylabel(\"Ach Speed [m/s]\")\n", - "\n", - " plt.tight_layout()\n", - " if SAVE_FIGS:\n", - " plt.savefig(Path(\"./plots/fc_pwr.svg\"))\n", - " if SHOW_PLOTS:\n", - " plt.show()\n", - "\n", - " return fig, ax" - ] - }, - { - "cell_type": "markdown", - "id": "cell-8", - "metadata": {}, - "source": [ - "Fuel converter output power (drivetrain + auxiliary) and fuel input power over\n", - "the drive cycle." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-9", - "metadata": {}, - "outputs": [], - "source": [ - "fig, ax = plot_fc_pwr()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-10", - "metadata": {}, - "outputs": [], - "source": [ - "def plot_fc_energy():\n", - " \"\"\"Plot fuel converter energies\"\"\"\n", - " fig, ax = plt.subplots(2, 1, sharex=True, figsize=(10, 6))\n", - " plt.suptitle(\"Fuel Converter Energy\")\n", - "\n", - " ax[0].plot(\n", - " df[\"cyc.time_seconds\"],\n", - " (\n", - " df[\"veh.pt_type.Conv.fc.history.energy_prop_joules\"]\n", - " + df[\"veh.pt_type.Conv.fc.history.energy_aux_joules\"]\n", - " )\n", - " / 1e6,\n", - " label=\"shaft\",\n", - " )\n", - " ax[0].plot(\n", - " df[\"cyc.time_seconds\"],\n", - " df[\"veh.pt_type.Conv.fc.history.energy_fuel_joules\"] / 1e6,\n", - " label=\"fuel\",\n", - " )\n", - " ax[0].set_ylabel(\"FC Energy [MJ]\")\n", - " ax[0].legend()\n", - "\n", - " ax[1].plot(\n", - " df[\"cyc.time_seconds\"],\n", - " df[\"veh.history.speed_ach_meters_per_second\"],\n", - " )\n", - " ax[1].set_xlabel(\"Time [s]\")\n", - " ax[1].set_ylabel(\"Ach Speed [m/s]\")\n", - "\n", - " plt.tight_layout()\n", - " if SAVE_FIGS:\n", - " plt.savefig(Path(\"./plots/fc_energy.svg\"))\n", - " if SHOW_PLOTS:\n", - " plt.show()\n", - "\n", - " return fig, ax" - ] - }, - { - "cell_type": "markdown", - "id": "cell-11", - "metadata": {}, - "source": [ - "Cumulative fuel converter output energy (drivetrain + auxiliary) and fuel input\n", - "energy over the drive cycle." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-12", - "metadata": {}, - "outputs": [], - "source": [ - "fig, ax = plot_fc_energy()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-13", - "metadata": {}, - "outputs": [], - "source": [ - "def plot_road_loads():\n", - " \"\"\"Plot road loads\"\"\"\n", - " fig, ax = plt.subplots(2, 1, sharex=True, figsize=(10, 6))\n", - " plt.suptitle(\"Road Loads\")\n", - "\n", - " ax[0].plot(\n", - " df[\"cyc.time_seconds\"],\n", - " df[\"veh.history.pwr_drag_watts\"] / 1e3,\n", - " label=\"drag\",\n", - " )\n", - " ax[0].plot(\n", - " df[\"cyc.time_seconds\"],\n", - " df[\"veh.history.pwr_rr_watts\"] / 1e3,\n", - " label=\"rolling resistance\",\n", - " )\n", - " ax[0].set_ylabel(\"Power [kW]\")\n", - " ax[0].legend()\n", - "\n", - " ax[1].plot(\n", - " df[\"cyc.time_seconds\"],\n", - " df[\"veh.history.speed_ach_meters_per_second\"],\n", - " )\n", - " ax[1].set_xlabel(\"Time [s]\")\n", - " ax[1].set_ylabel(\"Ach. Speed [m/s]\")\n", - "\n", - " plt.tight_layout()\n", - " if SAVE_FIGS:\n", - " plt.savefig(Path(\"./plots/road_loads.svg\"))\n", - " if SHOW_PLOTS:\n", - " plt.show()\n", - "\n", - " return fig, ax" - ] - }, - { - "cell_type": "markdown", - "id": "cell-14", - "metadata": {}, - "source": [ - "Aerodynamic drag power and rolling resistance power over the drive cycle." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-15", - "metadata": {}, - "outputs": [], - "source": [ - "fig, ax = plot_road_loads()" - ] - }, - { - "cell_type": "markdown", - "id": "cell-16", - "metadata": {}, - "source": [ - "*Source: `fastsim/docs/demo_scripts/demo_conv.py`*" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "name": "python" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/docs/demo_notebooks/demo_cruise_and_coast.ipynb b/docs/demo_notebooks/demo_cruise_and_coast.ipynb deleted file mode 100644 index 7c3143f51..000000000 --- a/docs/demo_notebooks/demo_cruise_and_coast.ipynb +++ /dev/null @@ -1,184 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "cell-0", - "metadata": {}, - "source": [ - "# CAVS: Combined Cruise and Coast\n", - "\n", - "This Connected Automated Vehicle (CAV) demo enables both IDM eco-cruise\n", - "and eco-coast simultaneously. The plots include a coast-mode indicator\n", - "showing when the vehicle is coasting." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-1", - "metadata": {}, - "outputs": [], - "source": [ - "import os\n", - "\n", - "import numpy as np\n", - "import seaborn as sns\n", - "\n", - "import sys\n", - "from pathlib import Path\n", - "\n", - "sys.path.insert(0, str(next(p / \"demo_scripts\" for p in (Path.cwd(), *Path.cwd().parents) if (p / \"demo_scripts\").is_dir())))\n", - "\n", - "import fastsim as fsim\n", - "from plot_utils import plot_speed_by_time, plot_speed_by_dist" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-2", - "metadata": {}, - "outputs": [], - "source": [ - "sns.set_theme()\n", - "\n", - "SHOW_PLOTS = os.environ.get(\"SHOW_PLOTS\", \"true\").lower() == \"true\"\n", - "SAVE_FIGS = os.environ.get(\"SAVE_FIGS\", \"false\").lower() == \"true\"" - ] - }, - { - "cell_type": "markdown", - "id": "cell-3", - "metadata": {}, - "source": [ - "## Setup" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-4", - "metadata": {}, - "outputs": [], - "source": [ - "veh = fsim.Vehicle.from_resource(\"2012_Ford_Fusion.yaml\")\n", - "veh.set_save_interval(1)\n", - "\n", - "cyc = fsim.Cycle.from_resource(\"udds.csv\")\n", - "end_idle_duration_s = cyc.ending_idle_time_s()\n", - "cyc = cyc.extend_time(absolute_time_s=120.0, time_fraction=0.25)\n", - "cyc0 = cyc.copy()\n", - "vavg = cyc0.average_speed_m_per_s(while_moving=True)" - ] - }, - { - "cell_type": "markdown", - "id": "cell-5", - "metadata": {}, - "source": [ - "## Configure Combined Parameters\n", - "\n", - "Both coasting and IDM parameters are enabled on the same `Maneuver`." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-6", - "metadata": {}, - "outputs": [], - "source": [ - "man = fsim.Maneuver.create_from(cyc, veh.copy())\n", - "d = man.to_pydict()\n", - "\n", - "# Coasting parameters\n", - "d[\"coast_allow\"] = True\n", - "d[\"coast_brake_start_speed_meters_per_second\"] = 8.9408 # 20 mph\n", - "d[\"coast_brake_accel_meters_per_second_squared\"] = -2.5\n", - "d[\"favor_grade_accuracy\"] = True\n", - "d[\"coast_allow_passing\"] = True\n", - "d[\"coast_max_speed_meters_per_second\"] = 33.5280 # 75 mph\n", - "d[\"coast_time_horizon_for_adjustment_seconds\"] = 120.0\n", - "\n", - "# IDM parameters\n", - "d[\"idm_allow\"] = True\n", - "d[\"idm_desired_speed_meters_per_second\"] = vavg\n", - "d[\"idm_headway_seconds\"] = 1.0\n", - "d[\"idm_minimum_gap_meters\"] = 1.0\n", - "d[\"idm_delta\"] = 4.0\n", - "d[\"idm_acceleration_meters_per_second_squared\"] = 1.0\n", - "d[\"idm_deceleration_meters_per_second_squared\"] = 2.5\n", - "\n", - "man = fsim.Maneuver.from_pydict(d)\n", - "cyc = man.apply_maneuvers()\n", - "cyc_for_coast = cyc.copy()\n", - "cyc = cyc.trim_ending_idle(idle_to_keep_s=end_idle_duration_s)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-7", - "metadata": {}, - "outputs": [], - "source": [ - "sd = fsim.SimDrive(veh, cyc)\n", - "sd.walk()" - ] - }, - { - "cell_type": "markdown", - "id": "cell-8", - "metadata": {}, - "source": [ - "## Results\n", - "\n", - "Original cycle speed vs. achieved speed with both cruise and coast. The\n", - "red dotted line indicates when coast mode is active." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-9", - "metadata": {}, - "outputs": [], - "source": [ - "if SHOW_PLOTS:\n", - " c0 = cyc0.to_pydict()\n", - " df = sd.to_dataframe()\n", - " is_coast = np.array(man.is_coasting()) * 5.0\n", - " cd = cyc_for_coast.to_pydict()\n", - " dist = cd[\"dist_meters\"]\n", - " is_coast_d = [\n", - " np.interp(d, dist, is_coast)\n", - " for d in df[\"cyc.dist_meters\"]\n", - " ]\n", - " plot_speed_by_time(df, c0, is_coast, title=\"Cruise and Coast\",\n", - " save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)\n", - " plot_speed_by_dist(df, c0, is_coast_d, title=\"Cruise and Coast (distance)\",\n", - " save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" - ] - }, - { - "cell_type": "markdown", - "id": "cell-10", - "metadata": {}, - "source": [ - "*Source: `fastsim/docs/demo_scripts/demo_cruise_and_coast.py`*" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "name": "python" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/docs/demo_notebooks/demo_dfco.ipynb b/docs/demo_notebooks/demo_dfco.ipynb deleted file mode 100644 index 604c7786b..000000000 --- a/docs/demo_notebooks/demo_dfco.ipynb +++ /dev/null @@ -1,274 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "cell-0", - "metadata": {}, - "source": [ - "# Deceleration Fuel Cut-Off Demo\n", - "\n", - "This demo simulates a conventional vehicle over a drive cycle with and\n", - "without Deceleration Fuel Cut-Off (DFCO), a feature that cuts off fuel\n", - "flow while the vehicle is decelerating, and compares the resulting\n", - "fuel economy." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-1", - "metadata": {}, - "outputs": [], - "source": [ - "import os\n", - "import sys\n", - "from pathlib import Path\n", - "\n", - "import matplotlib.pyplot as plt\n", - "import pandas as pd\n", - "import seaborn as sns\n", - "from matplotlib.axes import Axes\n", - "from matplotlib.figure import Figure\n", - "\n", - "sys.path.insert(0, str(next(p / \"demo_scripts\" for p in (Path.cwd(), *Path.cwd().parents) if (p / \"demo_scripts\").is_dir())))\n", - "\n", - "import fastsim as fsim\n", - "from plot_utils import get_paired_cycler" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-2", - "metadata": {}, - "outputs": [], - "source": [ - "sns.set_theme()\n", - "\n", - "# if environment var `SHOW_PLOTS=false` is set, no plots are shown\n", - "SHOW_PLOTS = os.environ.get(\"SHOW_PLOTS\", \"true\").lower() == \"true\"\n", - "# if environment var `SAVE_FIGS=true` is set, save plots\n", - "SAVE_FIGS = os.environ.get(\"SAVE_FIGS\", \"false\").lower() == \"true\"\n", - "\n", - "METERS_PER_MILE = 1609.34\n", - "MJ_PER_GGE = 125.0" - ] - }, - { - "cell_type": "markdown", - "id": "cell-3", - "metadata": {}, - "source": [ - "## Setup and Simulation\n", - "\n", - "Run the same vehicle and drive cycle twice: once with DFCO disabled and\n", - "once with DFCO enabled. The `set_dfco_params` method controls whether\n", - "DFCO is enabled, the minimum speed at or above which it can activate,\n", - "and the deceleration threshold required for it to activate." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-4", - "metadata": {}, - "outputs": [], - "source": [ - "# load 2026 Chrysler Pacifica Select with DFCO disabled\n", - "veh = fsim.Vehicle.from_resource(\"2026_Chrysler_Pacifica_Select.yaml\")\n", - "veh.set_dfco_params(enabled=False, min_dfco_speed_m_per_s=0.0, max_accel_for_dfco_m_per_s2=0.0)\n", - "veh.set_save_interval(1)\n", - "\n", - "# load cycle from file\n", - "cyc = fsim.Cycle.from_resource(\"udds.csv\")\n", - "\n", - "# instantiate `SimDrive` simulation object and run\n", - "sd = fsim.SimDrive(veh, cyc)\n", - "sd.walk()\n", - "df = sd.to_dataframe()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-5", - "metadata": {}, - "outputs": [], - "source": [ - "# load 2026 Chrysler Pacifica Select with DFCO enabled\n", - "veh_dfco = fsim.Vehicle.from_resource(\"2026_Chrysler_Pacifica_Select.yaml\")\n", - "veh_dfco.set_dfco_params(\n", - " enabled=True,\n", - " # DFCO can activate at or above 11.176 m/s (25 mph)\n", - " min_dfco_speed_m_per_s=11.176,\n", - " # DFCO can activate when decelerating at 0.2 m/s^2 or more\n", - " max_accel_for_dfco_m_per_s2=-0.2,\n", - ")\n", - "veh_dfco.set_save_interval(1)\n", - "\n", - "sd_dfco = fsim.SimDrive(veh_dfco, cyc)\n", - "sd_dfco.walk()\n", - "df_dfco = sd_dfco.to_dataframe()" - ] - }, - { - "cell_type": "markdown", - "id": "cell-6", - "metadata": {}, - "source": [ - "## Fuel Economy Comparison\n", - "\n", - "Compute fuel economy for both runs from cumulative fuel energy and cycle\n", - "distance, then print the percent reduction in fuel use from DFCO." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-7", - "metadata": {}, - "outputs": [], - "source": [ - "cyc_dict = cyc.to_pydict()\n", - "distance_m = cyc_dict[\"dist_meters\"][-1]\n", - "distance_mi = distance_m / METERS_PER_MILE\n", - "\n", - "fuel_mj = df[\"veh.pt_type.Conv.fc.history.energy_fuel_joules\"][-1] / 1e6\n", - "fuel_dfco_mj = df_dfco[\"veh.pt_type.Conv.fc.history.energy_fuel_joules\"][-1] / 1e6\n", - "\n", - "gge_gal = fuel_mj / MJ_PER_GGE\n", - "gge_dfco_gal = fuel_dfco_mj / MJ_PER_GGE\n", - "fuel_economy_mpg = distance_mi / gge_gal\n", - "fuel_economy_dfco_mpg = distance_mi / gge_dfco_gal\n", - "\n", - "percent_reduction = (fuel_mj - fuel_dfco_mj) * 100.0 / fuel_mj\n", - "\n", - "print(f\"Conventional Vehicle Fuel Economy: {fuel_economy_mpg} mpg\")\n", - "print(f\"Conventional w/ DFCO : {fuel_economy_dfco_mpg} mpg\")\n", - "print(f\"DFCO Reduction in Fuel Use (Conv): {percent_reduction} %\")" - ] - }, - { - "cell_type": "markdown", - "id": "cell-8", - "metadata": {}, - "source": [ - "## Visualize Results\n", - "\n", - "The following plot compares fuel converter behavior between the two runs." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-9", - "metadata": {}, - "outputs": [], - "source": [ - "def plot_fc_pwr(df: pd.DataFrame, df_dfco: pd.DataFrame, tag: str = \"Conv\") -> tuple[Figure, Axes]:\n", - " \"\"\"Plot fuel converter powers\"\"\"\n", - " fig, ax = plt.subplots(3, 1, sharex=True, figsize=(10, 8))\n", - " plt.suptitle(\"Fuel Converter Power\")\n", - "\n", - " ax[0].set_prop_cycle(get_paired_cycler())\n", - " ax[0].plot(\n", - " df[\"cyc.time_seconds\"],\n", - " (\n", - " df[\"veh.pt_type.Conv.fc.history.pwr_prop_watts\"]\n", - " + df[\"veh.pt_type.Conv.fc.history.pwr_aux_watts\"]\n", - " )\n", - " / 1e3,\n", - " label=\"f3 shaft\",\n", - " )\n", - " ax[0].plot(\n", - " df_dfco[\"cyc.time_seconds\"],\n", - " (\n", - " df_dfco[f\"veh.pt_type.{tag}.fc.history.pwr_prop_watts\"]\n", - " + df_dfco[f\"veh.pt_type.{tag}.fc.history.pwr_aux_watts\"]\n", - " )\n", - " / 1e3,\n", - " label=\"f3 shaft (dfco)\",\n", - " )\n", - " ax[0].set_ylabel(\"FC Power [kW]\")\n", - " ax[0].legend()\n", - "\n", - " ax[1].set_prop_cycle(get_paired_cycler())\n", - " ax[1].plot(\n", - " df[\"cyc.time_seconds\"],\n", - " df[\"veh.pt_type.Conv.fc.history.pwr_fuel_watts\"] / 1e3,\n", - " label=\"f3 fuel\",\n", - " )\n", - " ax[1].plot(\n", - " df_dfco[\"cyc.time_seconds\"],\n", - " df_dfco[f\"veh.pt_type.{tag}.fc.history.pwr_fuel_watts\"] / 1e3,\n", - " label=\"f3 fuel (dfco)\",\n", - " )\n", - " ax[1].set_ylabel(\"FC Power [kW]\")\n", - " ax[1].legend()\n", - "\n", - " ax[2].set_prop_cycle(get_paired_cycler())\n", - " ax[2].plot(\n", - " df[\"cyc.time_seconds\"],\n", - " df[\"veh.history.speed_ach_meters_per_second\"],\n", - " label=\"f3\",\n", - " )\n", - " ax[2].plot(\n", - " df_dfco[\"cyc.time_seconds\"],\n", - " df_dfco[\"veh.history.speed_ach_meters_per_second\"],\n", - " label=\"f3 (dfco)\",\n", - " )\n", - " ax[2].legend()\n", - " ax[2].set_xlabel(\"Time [s]\")\n", - " ax[2].set_ylabel(\"Ach Speed [m/s]\")\n", - "\n", - " plt.tight_layout()\n", - " if SAVE_FIGS:\n", - " plt.savefig(Path(\"./plots/fc_pwr.svg\"))\n", - " if SHOW_PLOTS:\n", - " plt.show()\n", - "\n", - " return fig, ax" - ] - }, - { - "cell_type": "markdown", - "id": "cell-10", - "metadata": {}, - "source": [ - "Fuel converter shaft power, fuel power, and achieved speed for the baseline\n", - "and DFCO runs. During decelerations above the minimum DFCO speed, the DFCO\n", - "run's fuel power drops to zero while the baseline continues to use idle fuel." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-11", - "metadata": {}, - "outputs": [], - "source": [ - "fig, ax = plot_fc_pwr(df, df_dfco)" - ] - }, - { - "cell_type": "markdown", - "id": "cell-12", - "metadata": {}, - "source": [ - "*Source: `fastsim/docs/demo_scripts/demo_dfco.py`*" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "name": "python" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/docs/demo_notebooks/demo_drive_cycle.ipynb b/docs/demo_notebooks/demo_drive_cycle.ipynb deleted file mode 100644 index fd28051ad..000000000 --- a/docs/demo_notebooks/demo_drive_cycle.ipynb +++ /dev/null @@ -1,280 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "cell-0", - "metadata": {}, - "source": [ - "# What Is a Drive Cycle?\n", - "\n", - "A drive cycle is time series data that describes how a vehicle is driven.\n", - "At minimum, it includes speed over time, but can also include\n", - "road grade, ambient air temperature, or other time-varying quantities.\n", - "\n", - "FASTSim simulates a vehicle model over each time step of the drive cycle\n", - "to compute the vehicle's response, including speed, acceleration, and power demand." - ] - }, - { - "cell_type": "markdown", - "id": "cell-1", - "metadata": {}, - "source": [ - "## Loading a Drive Cycle from Resources\n", - "\n", - "This example uses HWFET (Highway Fuel Economy Test), a regulatory drive\n", - "cycle used to evaluate highway fuel economy.\n", - "\n", - "For more information on HWFET and other regulatory drive cycles, see: \n", - "https://www.epa.gov/vehicle-and-fuel-emissions-testing/dynamometer-drive-schedules\n", - "\n", - "The NLR DriveCAT page has a variety of cycles available for download as well: \n", - "https://www.nlr.gov/transportation/drive-cycle-tool" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-2", - "metadata": {}, - "outputs": [], - "source": [ - "import fastsim\n", - "cyc = fastsim.Cycle.from_resource(\"hwfet.csv\")" - ] - }, - { - "cell_type": "markdown", - "id": "cell-3", - "metadata": {}, - "source": [ - "A full list of drive cycles available in FASTSim's resources can be printed:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-4", - "metadata": {}, - "outputs": [], - "source": [ - "fastsim.Cycle.list_resources()" - ] - }, - { - "cell_type": "markdown", - "id": "cell-5", - "metadata": {}, - "source": [ - "## Visualizing a Drive Cycle\n", - "\n", - "FASTSim has convenience functions for visualizing drive cycles." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-6", - "metadata": {}, - "outputs": [], - "source": [ - "# Default: x=`time_seconds`, y=`speed_meters_per_second`\n", - "fig = cyc.plot()\n", - "\n", - "# Try also:\n", - "# - cyc.plot(x=\"dist_meters\")\n", - "# - cyc.plot(y=\"grade\")\n", - "# - cyc.plot(x=\"dist_meters\", y=\"grade\")" - ] - }, - { - "cell_type": "markdown", - "id": "cell-7", - "metadata": {}, - "source": [ - "In FASTSim, drive cycles represent all data that vary over time.\n", - "\n", - "The following are inputs to FASTSim drive cycles:\n", - "- Time\n", - " - `time_seconds`\n", - "- Vehicle speed\n", - " - `speed_meters_per_second`\n", - "- Road grade\n", - " - `grade`\n", - "- Ambient air temperature\n", - " - `temp_amb_air_kelvin`\n", - " - Only affects thermal vehicle models\n", - "\n", - "FASTSim automatically derives the following from a drive cycle:\n", - "- Distance\n", - " - `dist_meters`\n", - " - Accumulated from vehicle speed\n", - "- Elevation\n", - " - `elev_meters`\n", - " - Accumulated from grade and distance\n", - " - Initial elevation\n", - " - `init_elev_meters` defaults to 121.92 m (400 ft)" - ] - }, - { - "cell_type": "markdown", - "id": "cell-8", - "metadata": {}, - "source": [ - "## Defining Custom Drive Cycles\n", - "\n", - "Drive cycles can be loaded from a variety of file types:\n", - "- `.csv` CSV files (like the above example)\n", - "- `.json` JSON files\n", - "- `.msgpack` MessagePack files\n", - "- `.toml` TOML files\n", - "- `.yaml` YAML files\n", - "\n", - "Here is a small example of a custom drive cycle file:\n", - "\n", - "`custom_cycle.csv`\n", - "```csv\n", - "time_seconds,speed_meters_per_second,grade\n", - "0,0,0\n", - "1,0,0\n", - "2,0,0\n", - "3,0,0\n", - "4,0,0\n", - "5,0.5,0\n", - "6,0.75,0\n", - "7,1,0\n", - "8,1.25,0\n", - "9,1.5,0\n", - "10,1.75,0\n", - "11,2,0\n", - "12,3,0\n", - "13,4,0\n", - "14,6,0\n", - "15,8,0\n", - "16,10,0\n", - "17,12,0\n", - "18,14,0\n", - "19,16,0\n", - "20,14,0\n", - "21,12,0\n", - "22,10,0\n", - "23,8,0\n", - "24,6,0\n", - "25,4,0\n", - "26,2,0\n", - "27,0,0\n", - "28,0,0\n", - "29,0,0\n", - "30,0,0\n", - "```\n", - "\n", - "To load this, you can use `fastsim.Cycle.from_file`:\n", - "\n", - "```python\n", - "cyc_custom = fastsim.Cycle.from_file(\"custom_cycle.csv\")\n", - "```" - ] - }, - { - "cell_type": "markdown", - "id": "cell-9", - "metadata": {}, - "source": [ - "## Accessing Drive Cycle Fields at Runtime\n", - "\n", - "Drive cycle fields can be accessed at runtime by converting the `Cycle` object to a Python dictionary.\n", - "Each key corresponds to a field name, and many values are lists of data points over time." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-10", - "metadata": {}, - "outputs": [], - "source": [ - "# Convert a Cycle to a Python dictionary\n", - "cyc_dict = cyc.to_pydict()\n", - "print(cyc_dict.keys())\n", - "print(cyc_dict)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-11", - "metadata": {}, - "outputs": [], - "source": [ - "# Iterate over the time, speed, and grade fields and print them\n", - "# Limit to 10 values\n", - "for time, speed, grade in list(zip(cyc_dict[\"time_seconds\"], cyc_dict[\"speed_meters_per_second\"], cyc_dict[\"grade\"]))[:10]:\n", - " print(f\"Time [s]: {time}, Speed [m/s]: {speed}, Grade: {grade}\")\n", - "print(\"...\")" - ] - }, - { - "cell_type": "markdown", - "id": "cell-12", - "metadata": {}, - "source": [ - "## Editing Drive Cycle Fields at Runtime" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-13", - "metadata": {}, - "outputs": [], - "source": [ - "# Modify the speed field (double the speed) in the drive cycle dictionary\n", - "cyc_dict[\"speed_meters_per_second\"] = [s * 2 for s in cyc_dict[\"speed_meters_per_second\"]]\n", - "print(\"Updated speed [m/s]: \", cyc_dict[\"speed_meters_per_second\"][:10])\n", - "\n", - "# Modify the ambient temperature to be 22 °C\n", - "cyc_dict[\"temp_amb_air_kelvin\"] = [22 + 273.15] * len(cyc_dict[\"temp_amb_air_kelvin\"])\n", - "print(\"Updated ambient temperature [K]: \", cyc_dict[\"temp_amb_air_kelvin\"][:10])" - ] - }, - { - "cell_type": "markdown", - "id": "cell-14", - "metadata": {}, - "source": [ - "After making changes to the cycle dictionary, be sure to convert it back to a FASTSim `Cycle` before using it in simulation." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-15", - "metadata": {}, - "outputs": [], - "source": [ - "# Convert the cycle dictionary back into a FASTSim Cycle\n", - "cyc = fastsim.Cycle.from_pydict(cyc_dict)" - ] - }, - { - "cell_type": "markdown", - "id": "cell-16", - "metadata": {}, - "source": [ - "*Source: `fastsim/docs/demo_scripts/demo_drive_cycle.py`*" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "name": "python" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/docs/demo_notebooks/demo_eco_cruise.ipynb b/docs/demo_notebooks/demo_eco_cruise.ipynb deleted file mode 100644 index fafd84a9f..000000000 --- a/docs/demo_notebooks/demo_eco_cruise.ipynb +++ /dev/null @@ -1,169 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "cell-0", - "metadata": {}, - "source": [ - "# CAVS: Eco-Cruise (IDM)\n", - "\n", - "This Connected Automated Vehicle (CAV) demo uses the Intelligent Driver\n", - "Model (IDM) to adjust the vehicle's speed profile toward a desired target\n", - "speed." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-1", - "metadata": {}, - "outputs": [], - "source": [ - "import os\n", - "\n", - "import seaborn as sns\n", - "\n", - "import sys\n", - "from pathlib import Path\n", - "\n", - "sys.path.insert(0, str(next(p / \"demo_scripts\" for p in (Path.cwd(), *Path.cwd().parents) if (p / \"demo_scripts\").is_dir())))\n", - "\n", - "import fastsim as fsim\n", - "from plot_utils import plot_speed_by_time, plot_speed_by_dist" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-2", - "metadata": {}, - "outputs": [], - "source": [ - "sns.set_theme()\n", - "\n", - "SHOW_PLOTS = os.environ.get(\"SHOW_PLOTS\", \"true\").lower() == \"true\"\n", - "SAVE_FIGS = os.environ.get(\"SAVE_FIGS\", \"false\").lower() == \"true\"" - ] - }, - { - "cell_type": "markdown", - "id": "cell-3", - "metadata": {}, - "source": [ - "## Setup" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-4", - "metadata": {}, - "outputs": [], - "source": [ - "veh = fsim.Vehicle.from_resource(\"2012_Ford_Fusion.yaml\")\n", - "veh.set_save_interval(1)\n", - "\n", - "cyc = fsim.Cycle.from_resource(\"udds.csv\")\n", - "end_idle_duration_s = cyc.ending_idle_time_s()\n", - "cyc0 = cyc.copy()\n", - "cyc = cyc.extend_time(absolute_time_s=240.0, time_fraction=0.3)\n", - "\n", - "vavg = cyc0.average_speed_m_per_s(while_moving=True)" - ] - }, - { - "cell_type": "markdown", - "id": "cell-5", - "metadata": {}, - "source": [ - "## Configure IDM Parameters\n", - "\n", - "IDM parameters:\n", - "- `idm_desired_speed`: desired speed (here set to the cycle's moving average)\n", - "- `idm_headway`: headway time desired to vehicle in front\n", - "- `idm_minimum_gap`: minimum desired gap between vehicle and lead vehicle\n", - "- `idm_delta`: IDM delta parameter\n", - "- `idm_acceleration` / `idm_deceleration`: IDM acceleration and deceleration parameters" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-6", - "metadata": {}, - "outputs": [], - "source": [ - "man = fsim.Maneuver.create_from(cyc, veh.copy())\n", - "d = man.to_pydict()\n", - "d[\"idm_allow\"] = True\n", - "d[\"idm_desired_speed_meters_per_second\"] = vavg\n", - "d[\"idm_headway_seconds\"] = 1.0\n", - "d[\"idm_minimum_gap_meters\"] = 1.0\n", - "d[\"idm_delta\"] = 4.0\n", - "d[\"idm_acceleration_meters_per_second_squared\"] = 1.0\n", - "d[\"idm_deceleration_meters_per_second_squared\"] = 2.5\n", - "man = fsim.Maneuver.from_pydict(d)\n", - "\n", - "cyc = man.apply_maneuvers()\n", - "cyc = cyc.trim_ending_idle(idle_to_keep_s=end_idle_duration_s)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-7", - "metadata": {}, - "outputs": [], - "source": [ - "sd = fsim.SimDrive(veh, cyc)\n", - "sd.walk()" - ] - }, - { - "cell_type": "markdown", - "id": "cell-8", - "metadata": {}, - "source": [ - "## Results\n", - "\n", - "Original cycle speed vs. achieved speed with IDM eco-cruise applied." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-9", - "metadata": {}, - "outputs": [], - "source": [ - "if SHOW_PLOTS:\n", - " c0 = cyc0.to_pydict()\n", - " df = sd.to_dataframe()\n", - " plot_speed_by_time(df, c0, title=\"Eco-Cruise (IDM)\",\n", - " save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)\n", - " plot_speed_by_dist(df, c0, title=\"Eco-Cruise (IDM, distance)\",\n", - " save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" - ] - }, - { - "cell_type": "markdown", - "id": "cell-10", - "metadata": {}, - "source": [ - "*Source: `fastsim/docs/demo_scripts/demo_eco_cruise.py`*" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "name": "python" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/docs/demo_notebooks/demo_getting_started.ipynb b/docs/demo_notebooks/demo_getting_started.ipynb deleted file mode 100644 index 4b20172b0..000000000 --- a/docs/demo_notebooks/demo_getting_started.ipynb +++ /dev/null @@ -1,400 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "cell-0", - "metadata": {}, - "source": [ - "# Getting Started\n", - "\n", - "This is an interactive demonstration of FASTSim. Developed by the National\n", - "Laboratory of the Rockies (NLR), FASTSim provides extremely fast and accurate\n", - "estimates of powertrain performance and fuel (or electricity) consumption for\n", - "a wide variety of vehicle types. This page walks through the core workflow:\n", - "loading a vehicle, loading a drive cycle, running a simulation, and working\n", - "with the results.\n", - "\n", - "## Key Concepts\n", - "\n", - "A FASTSim simulation is built on three main components:\n", - "\n", - "- `fastsim.Vehicle`: An object defining the vehicle's physical specifications,\n", - " including the powertrain configuration, mass, aerodynamic drag, component efficiencies, and more.\n", - "- `fastsim.Cycle`: A drive cycle, essentially a velocity vs. time profile\n", - " (e.g. EPA regulatory cycles such as UDDS/HWFET, or custom telematics-derived data).\n", - " Drive cycles define how the vehicle moves and the conditions under which it operates.\n", - "- `fastsim.SimDrive`: The solver that combines a `Vehicle` and a `Cycle`,\n", - " calculating the flow of power and energy consumption at every time step.\n", - "\n", - "The line below imports FASTSim in Python:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-1", - "metadata": {}, - "outputs": [], - "source": [ - "import fastsim" - ] - }, - { - "cell_type": "markdown", - "id": "cell-2", - "metadata": {}, - "source": [ - "## Loading a Vehicle\n", - "\n", - "`Vehicle.from_resource` loads one of the vehicle models bundled with FASTSim.\n", - "The full list of bundled vehicles can be printed:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-3", - "metadata": {}, - "outputs": [], - "source": [ - "fastsim.Vehicle.list_resources()" - ] - }, - { - "cell_type": "markdown", - "id": "cell-4", - "metadata": {}, - "source": [ - "This example uses the conventional 2012 Ford Fusion. After loading, a few\n", - "key parameters can be read from the vehicle dictionary:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-5", - "metadata": {}, - "outputs": [], - "source": [ - "veh = fastsim.Vehicle.from_resource(\"2012_Ford_Fusion.yaml\")\n", - "\n", - "veh_dict = veh.to_pydict()\n", - "print(f\"Vehicle loaded: {veh_dict['name']}\")\n", - "print(f\"Vehicle mass: {veh_dict['mass_kilograms']:.1f} kg\")\n", - "print(f\"Drag coefficient: {veh_dict['chassis']['drag_coef']}\")" - ] - }, - { - "cell_type": "markdown", - "id": "cell-6", - "metadata": {}, - "source": [ - "`save_interval` controls how often the vehicle records its internal state to\n", - "history vectors. A value of 1 records every time step, which is what we want\n", - "for plotting results." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-7", - "metadata": {}, - "outputs": [], - "source": [ - "veh.set_save_interval(1)" - ] - }, - { - "cell_type": "markdown", - "id": "cell-8", - "metadata": {}, - "source": [ - "## Loading a Drive Cycle\n", - "\n", - "`Cycle.from_resource` loads a default drive cycle in the FASTSim package\n", - "called the Urban Dynamometer Driving Schedule, or \"UDDS\". The UDDS is one of\n", - "several\n", - "[EPA regulatory cycles](https://www.epa.gov/vehicle-and-fuel-emissions-testing/dynamometer-drive-schedules)\n", - "used to test vehicle fuel economy. UDDS is also referred to as the \"city\"\n", - "test. Below the cycle is plotted as target vehicle speed vs. time.\n", - "\n", - "For a deeper look at drive cycles, including custom cycles and editing cycle\n", - "data, see [What Is a Drive Cycle?](demo_drive_cycle.ipynb)." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-9", - "metadata": {}, - "outputs": [], - "source": [ - "cyc = fastsim.Cycle.from_resource(\"udds.csv\")\n", - "fig = cyc.plot()" - ] - }, - { - "cell_type": "markdown", - "id": "cell-10", - "metadata": {}, - "source": [ - "## Running the Simulation\n", - "\n", - "`SimDrive` combines a vehicle and a cycle, and `walk()` runs the simulation\n", - "from start to finish." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-11", - "metadata": {}, - "outputs": [], - "source": [ - "sd = fastsim.SimDrive(veh, cyc)\n", - "sd.walk()" - ] - }, - { - "cell_type": "markdown", - "id": "cell-12", - "metadata": {}, - "source": [ - "## Inspecting Results\n", - "\n", - "The `SimDrive` object contains the inputs, and after the `walk()` method is\n", - "called, which runs the simulation, it also contains the resulting time-series\n", - "data from the simulated vehicle over the provided drive cycle. You can\n", - "explore these data to understand exactly how the vehicle is performing.\n", - "`to_dataframe()` returns the results as a dataframe:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-13", - "metadata": {}, - "outputs": [], - "source": [ - "df = sd.to_dataframe(pandas=True)\n", - "print(f\"{len(df)} time steps, {len(df.columns)} columns. A few examples:\")\n", - "print(df.columns.tolist()[:5])" - ] - }, - { - "cell_type": "markdown", - "id": "cell-14", - "metadata": {}, - "source": [ - "A common visualization is achieved speed vs. time. This attribute is called\n", - "\"achieved speed\" because it is possible that a vehicle is not able to meet\n", - "the provided drive cycle. The two lines should overlap almost exactly for a\n", - "vehicle with enough power to follow the trace." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-15", - "metadata": {}, - "outputs": [], - "source": [ - "import plotly.graph_objects as go\n", - "\n", - "fig = go.Figure()\n", - "fig.add_trace(go.Scatter(\n", - " x=df[\"cyc.time_seconds\"],\n", - " y=df[\"cyc.speed_meters_per_second\"],\n", - " name=\"Target\",\n", - " line={\"dash\": \"dash\"},\n", - "))\n", - "fig.add_trace(go.Scatter(\n", - " x=df[\"cyc.time_seconds\"],\n", - " y=df[\"veh.history.speed_ach_meters_per_second\"],\n", - " name=\"Achieved\",\n", - "))\n", - "fig.update_layout(xaxis_title=\"Time [s]\", yaxis_title=\"Speed [m/s]\")\n", - "fig.show()" - ] - }, - { - "cell_type": "markdown", - "id": "cell-16", - "metadata": {}, - "source": [ - "Fuel power flowing into the engine shows when the vehicle is working hardest\n", - "over the cycle:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-17", - "metadata": {}, - "outputs": [], - "source": [ - "import plotly.express as px\n", - "\n", - "fig = px.line(\n", - " x=df[\"cyc.time_seconds\"],\n", - " y=df[\"veh.pt_type.Conv.fc.history.pwr_fuel_watts\"] / 1e3,\n", - ")\n", - "fig.update_layout(xaxis_title=\"Time [s]\", yaxis_title=\"Fuel Power [kW]\")\n", - "fig.show()" - ] - }, - { - "cell_type": "markdown", - "id": "cell-18", - "metadata": {}, - "source": [ - "## Calculating Fuel Economy\n", - "\n", - "FASTSim reports energy in SI units, so fuel economy is calculated from\n", - "cumulative fuel energy and distance. This example converts fuel energy to\n", - "gallons of gasoline equivalent using the conventional 33.7 kWh per gallon." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-19", - "metadata": {}, - "outputs": [], - "source": [ - "KWH_PER_GGE = 33.7\n", - "METERS_PER_MILE = 1609.34\n", - "\n", - "\n", - "def mpg_from_sim(sd) -> float:\n", - " \"\"\"Compute miles per gallon gasoline equivalent from a solved SimDrive.\"\"\"\n", - " sd_dict = sd.to_pydict(flatten=True)\n", - " fuel_kwh = sd_dict[\"veh.pt_type.Conv.fc.state.energy_fuel_joules\"] / 3.6e6\n", - " miles = sd_dict[\"veh.state.dist_meters\"] / METERS_PER_MILE\n", - " return miles / (fuel_kwh / KWH_PER_GGE)\n", - "\n", - "\n", - "mpg = mpg_from_sim(sd)\n", - "print(f\"Fuel economy over UDDS: {mpg:.1f} mpg\")" - ] - }, - { - "cell_type": "markdown", - "id": "cell-20", - "metadata": {}, - "source": [ - "One common question is: **\"Why is the MPG from FASTSim higher than what I see\n", - "on a car's window sticker?\"** FASTSim simulations, by default, provide \"raw\"\n", - "or \"unadjusted\" fuel economy. This is equivalent to what a vehicle achieves\n", - "on a chassis dynamometer in a laboratory setting under controlled conditions,\n", - "which is how vehicles are actually tested to measure fuel economy. The EPA\n", - "applies a set of \"downward adjustments\" (often around 10-30%) to laboratory\n", - "results to better reflect real-world driving for the window sticker. See\n", - "[Comparing Simulations to Label Fuel Economy](../demo_notebooks/demo_label_fe.ipynb)\n", - "for how FASTSim reproduces window sticker values.\n", - "\n", - "## Modifying Vehicle Parameters\n", - "\n", - "One common use of FASTSim is to explore various vehicle designs and\n", - "configurations and the subsequent impacts on fuel consumption. Let's start\n", - "with a simple example that modifies the vehicle mass.\n", - "\n", - "We will:\n", - "1. Create a \"Heavy\" version of the vehicle.\n", - "2. Re-run the simulation.\n", - "3. Compare the results.\n", - "\n", - "Vehicle parameters can be edited by converting the vehicle to a dictionary,\n", - "changing values, and converting back." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-21", - "metadata": {}, - "outputs": [], - "source": [ - "veh_dict_heavy = veh.to_pydict()\n", - "veh_dict_heavy[\"mass_kilograms\"] += 800.0\n", - "veh_heavy = fastsim.Vehicle.from_pydict(veh_dict_heavy)\n", - "veh_heavy.set_save_interval(1)\n", - "\n", - "sd_heavy = fastsim.SimDrive(veh_heavy, cyc)\n", - "sd_heavy.walk()\n", - "\n", - "mpg_heavy = mpg_from_sim(sd_heavy)\n", - "print(f\"Original mass: {veh_dict['mass_kilograms']:.0f} kg -> {mpg:.1f} mpg\")\n", - "print(f\"Heavy mass: {veh_dict_heavy['mass_kilograms']:.0f} kg -> {mpg_heavy:.1f} mpg\")\n", - "print(f\"Fuel economy change: {(mpg_heavy - mpg) / mpg * 100:.1f}%\")" - ] - }, - { - "cell_type": "markdown", - "id": "cell-22", - "metadata": {}, - "source": [ - "Let's visualize the difference in power demand." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-23", - "metadata": {}, - "outputs": [], - "source": [ - "df_heavy = sd_heavy.to_dataframe(pandas=True)\n", - "\n", - "fig = go.Figure()\n", - "fig.add_trace(go.Scatter(\n", - " x=df[\"cyc.time_seconds\"],\n", - " y=df[\"veh.pt_type.Conv.fc.history.pwr_fuel_watts\"] / 1e3,\n", - " name=\"Original\",\n", - "))\n", - "fig.add_trace(go.Scatter(\n", - " x=df_heavy[\"cyc.time_seconds\"],\n", - " y=df_heavy[\"veh.pt_type.Conv.fc.history.pwr_fuel_watts\"] / 1e3,\n", - " name=\"With 800 kg payload\",\n", - "))\n", - "fig.update_layout(xaxis_title=\"Time [s]\", yaxis_title=\"Fuel Power [kW]\")\n", - "fig.show()" - ] - }, - { - "cell_type": "markdown", - "id": "cell-24", - "metadata": {}, - "source": [ - "## Where to Go Next\n", - "\n", - "- [What Is a Drive Cycle?](demo_drive_cycle.ipynb) covers loading, building,\n", - " and editing drive cycles, including road grade.\n", - "- [Vehicles in FASTSim](../content/vehicle.md) describes the vehicle model\n", - " hierarchy in more depth.\n", - "- [What is a SimDrive Object?](../content/simdrive.md) explains the\n", - " simulation object and its parameters." - ] - }, - { - "cell_type": "markdown", - "id": "cell-25", - "metadata": {}, - "source": [ - "*Source: `fastsim/docs/demo_scripts/demo_getting_started.py`*" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "name": "python" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/docs/demo_notebooks/demo_hev.ipynb b/docs/demo_notebooks/demo_hev.ipynb deleted file mode 100644 index da0f5716e..000000000 --- a/docs/demo_notebooks/demo_hev.ipynb +++ /dev/null @@ -1,473 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "cell-0", - "metadata": {}, - "source": [ - "# Hybrid Electric Vehicle Demo\n", - "\n", - "This demo simulates a Hybrid Electric Vehicle (HEV) over a drive cycle and\n", - "visualizes the fuel converter, battery, and road load behavior." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-1", - "metadata": {}, - "outputs": [], - "source": [ - "import os\n", - "from pathlib import Path\n", - "\n", - "import matplotlib.pyplot as plt\n", - "import seaborn as sns\n", - "\n", - "import fastsim as fsim" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-2", - "metadata": {}, - "outputs": [], - "source": [ - "sns.set_theme()\n", - "\n", - "# if environment var `SHOW_PLOTS=false` is set, no plots are shown\n", - "SHOW_PLOTS = os.environ.get(\"SHOW_PLOTS\", \"true\").lower() == \"true\"\n", - "# if environment var `SAVE_FIGS=true` is set, save plots\n", - "SAVE_FIGS = os.environ.get(\"SAVE_FIGS\", \"false\").lower() == \"true\"" - ] - }, - { - "cell_type": "markdown", - "id": "cell-3", - "metadata": {}, - "source": [ - "## Setup and Simulation\n", - "\n", - "Load a vehicle and drive cycle, configure per-step state recording, run the\n", - "simulation, and extract the results." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-4", - "metadata": {}, - "outputs": [], - "source": [ - "# load 2016 Toyota Prius Two from file\n", - "veh = fsim.Vehicle.from_resource(\"2016_TOYOTA_Prius_Two.yaml\")\n", - "\n", - "# Set `save_interval` at vehicle level -- cascades to all sub-components with time-varying states\n", - "veh.set_save_interval(1)\n", - "\n", - "# load cycle from file\n", - "cyc = fsim.Cycle.from_resource(\"udds.csv\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-5", - "metadata": {}, - "outputs": [], - "source": [ - "# instantiate `SimDrive` simulation object\n", - "sd = fsim.SimDrive(veh, cyc)\n", - "sd.walk()\n", - "\n", - "df = sd.to_dataframe()\n", - "sd_dict = sd.to_pydict(flatten=True)" - ] - }, - { - "cell_type": "markdown", - "id": "cell-6", - "metadata": {}, - "source": [ - "## Visualize Results\n", - "\n", - "The following plots show fuel converter, battery, and road load behavior over\n", - "the drive cycle." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-7", - "metadata": {}, - "outputs": [], - "source": [ - "def plot_fc_pwr():\n", - " \"\"\"Plot fuel converter powers\"\"\"\n", - " fig, ax = plt.subplots(3, 1, sharex=True, figsize=(10, 8))\n", - " plt.suptitle(\"Fuel Converter Power\")\n", - "\n", - " ax[0].plot(\n", - " df[\"cyc.time_seconds\"],\n", - " (\n", - " df[\"veh.pt_type.HEV.fc.history.pwr_prop_watts\"]\n", - " + df[\"veh.pt_type.HEV.fc.history.pwr_aux_watts\"]\n", - " )\n", - " / 1e3,\n", - " label=\"shaft\",\n", - " )\n", - " ax[0].plot(\n", - " df[\"cyc.time_seconds\"],\n", - " df[\"veh.pt_type.HEV.fc.history.pwr_fuel_watts\"] / 1e3,\n", - " label=\"fuel\",\n", - " )\n", - " ax[0].set_ylabel(\"FC Power [kW]\")\n", - " ax[0].legend()\n", - "\n", - " ax[1].plot(\n", - " df[\"cyc.time_seconds\"],\n", - " df[\"veh.pt_type.HEV.res.history.soc\"],\n", - " )\n", - " ax[1].set_ylabel(\"SOC\")\n", - "\n", - " ax[2].plot(\n", - " df[\"cyc.time_seconds\"],\n", - " df[\"veh.history.speed_ach_meters_per_second\"],\n", - " )\n", - " ax[2].set_xlabel(\"Time [s]\")\n", - " ax[2].set_ylabel(\"Ach Speed [m/s]\")\n", - "\n", - " plt.tight_layout()\n", - " if SAVE_FIGS:\n", - " plt.savefig(Path(\"./plots/fc_pwr.svg\"))\n", - " if SHOW_PLOTS:\n", - " plt.show()\n", - "\n", - " return fig, ax" - ] - }, - { - "cell_type": "markdown", - "id": "cell-8", - "metadata": {}, - "source": [ - "Fuel converter output power (drivetrain + auxiliary) and fuel input power,\n", - "with battery state of charge for context." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-9", - "metadata": {}, - "outputs": [], - "source": [ - "fig, ax = plot_fc_pwr()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-10", - "metadata": {}, - "outputs": [], - "source": [ - "def plot_fc_energy():\n", - " \"\"\"Plot fuel converter energies\"\"\"\n", - " fig, ax = plt.subplots(3, 1, sharex=True, figsize=(10, 8))\n", - " plt.suptitle(\"Fuel Converter Energy\")\n", - "\n", - " ax[0].plot(\n", - " df[\"cyc.time_seconds\"],\n", - " (\n", - " df[\"veh.pt_type.HEV.fc.history.energy_prop_joules\"]\n", - " + df[\"veh.pt_type.HEV.fc.history.energy_aux_joules\"]\n", - " )\n", - " / 1e6,\n", - " label=\"shaft\",\n", - " )\n", - " ax[0].plot(\n", - " df[\"cyc.time_seconds\"],\n", - " df[\"veh.pt_type.HEV.fc.history.energy_fuel_joules\"] / 1e6,\n", - " label=\"fuel\",\n", - " )\n", - " ax[0].set_ylabel(\"FC Energy [MJ]\")\n", - " ax[0].legend()\n", - "\n", - " ax[1].plot(\n", - " df[\"cyc.time_seconds\"],\n", - " df[\"veh.pt_type.HEV.res.history.soc\"],\n", - " )\n", - " ax[1].set_ylabel(\"SOC\")\n", - "\n", - " ax[2].plot(\n", - " df[\"cyc.time_seconds\"],\n", - " df[\"veh.history.speed_ach_meters_per_second\"],\n", - " )\n", - " ax[2].set_xlabel(\"Time [s]\")\n", - " ax[2].set_ylabel(\"Ach Speed [m/s]\")\n", - "\n", - " plt.tight_layout()\n", - " if SAVE_FIGS:\n", - " plt.savefig(Path(\"./plots/fc_energy.svg\"))\n", - " if SHOW_PLOTS:\n", - " plt.show()\n", - "\n", - " return fig, ax" - ] - }, - { - "cell_type": "markdown", - "id": "cell-11", - "metadata": {}, - "source": [ - "Cumulative fuel converter output energy (drivetrain + auxiliary) and fuel\n", - "input energy, with battery state of charge for context." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-12", - "metadata": {}, - "outputs": [], - "source": [ - "fig, ax = plot_fc_energy()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-13", - "metadata": {}, - "outputs": [], - "source": [ - "def plot_res_pwr():\n", - " \"\"\"Plot reversible energy storage powers\"\"\"\n", - " fig, ax = plt.subplots(3, 1, sharex=True, figsize=(10, 8))\n", - " plt.suptitle(\"Battery Power\")\n", - "\n", - " ax[0].plot(\n", - " df[\"cyc.time_seconds\"],\n", - " df[\"veh.pt_type.HEV.res.history.pwr_out_electrical_watts\"] / 1e3,\n", - " label=\"electrical out\",\n", - " )\n", - " ax[0].plot(\n", - " df[\"cyc.time_seconds\"],\n", - " df[\"veh.pt_type.HEV.res.history.pwr_out_chemical_watts\"] / 1e3,\n", - " label=\"chemical out\",\n", - " )\n", - " ax[0].set_ylabel(\"RES Power [kW]\")\n", - " ax[0].legend()\n", - "\n", - " ax[1].plot(df[\"cyc.time_seconds\"], df[\"veh.pt_type.HEV.res.history.soc\"], label=\"soc\")\n", - " ax[1].plot(\n", - " df[\"cyc.time_seconds\"],\n", - " df[\"veh.pt_type.HEV.res.history.soc_disch_buffer\"],\n", - " label=\"accel buffer\",\n", - " alpha=0.5,\n", - " )\n", - " ax[1].plot(\n", - " df[\"cyc.time_seconds\"],\n", - " df[\"veh.pt_type.HEV.res.history.soc_regen_buffer\"],\n", - " label=\"regen buffer\",\n", - " alpha=0.5,\n", - " )\n", - " ax[1].axhline(sd_dict[\"veh.pt_type.HEV.res.min_soc\"], color=\"blue\", label=\"min soc\")\n", - " ax[1].axhline(sd_dict[\"veh.pt_type.HEV.res.max_soc\"], color=\"red\", label=\"max soc\")\n", - " ax[1].set_ylabel(\"SOC [-]\")\n", - " ax[1].legend(loc=\"center right\")\n", - "\n", - " ax[2].plot(\n", - " df[\"cyc.time_seconds\"],\n", - " df[\"veh.history.speed_ach_meters_per_second\"],\n", - " )\n", - " ax[2].set_xlabel(\"Time [s]\")\n", - " ax[2].set_ylabel(\"Ach Speed [m/s]\")\n", - "\n", - " plt.tight_layout()\n", - " if SAVE_FIGS:\n", - " plt.savefig(Path(\"./plots/battery_pwr.svg\"))\n", - " if SHOW_PLOTS:\n", - " plt.show()\n", - "\n", - " return fig, ax" - ] - }, - { - "cell_type": "markdown", - "id": "cell-14", - "metadata": {}, - "source": [ - "Battery electrical and chemical output power, with state of charge, discharge\n", - "buffer, regen buffer, and min/max SOC limits." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-15", - "metadata": {}, - "outputs": [], - "source": [ - "fig, ax = plot_res_pwr()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-16", - "metadata": {}, - "outputs": [], - "source": [ - "def plot_res_energy():\n", - " \"\"\"Plot reversible energy storage energies\"\"\"\n", - " fig, ax = plt.subplots(3, 1, sharex=True, figsize=(10, 8))\n", - " plt.suptitle(\"Battery Energy\")\n", - "\n", - " ax[0].plot(\n", - " df[\"cyc.time_seconds\"],\n", - " df[\"veh.pt_type.HEV.res.history.energy_out_electrical_joules\"] / 1e6,\n", - " label=\"electrical out\",\n", - " )\n", - " ax[0].plot(\n", - " df[\"cyc.time_seconds\"],\n", - " df[\"veh.pt_type.HEV.res.history.energy_out_chemical_joules\"] / 1e6,\n", - " label=\"chemical out\",\n", - " )\n", - " ax[0].set_ylabel(\"RES Energy [MJ]\")\n", - " ax[0].legend()\n", - "\n", - " ax[1].plot(df[\"cyc.time_seconds\"], df[\"veh.pt_type.HEV.res.history.soc\"], label=\"soc\")\n", - " ax[1].plot(\n", - " df[\"cyc.time_seconds\"],\n", - " df[\"veh.pt_type.HEV.res.history.soc_disch_buffer\"],\n", - " label=\"accel buffer\",\n", - " alpha=0.5,\n", - " )\n", - " ax[1].plot(\n", - " df[\"cyc.time_seconds\"],\n", - " df[\"veh.pt_type.HEV.res.history.soc_regen_buffer\"],\n", - " label=\"regen buffer\",\n", - " alpha=0.5,\n", - " )\n", - " ax[1].set_ylabel(\"SOC [-]\")\n", - " ax[1].legend(loc=\"center right\")\n", - "\n", - " ax[2].plot(\n", - " df[\"cyc.time_seconds\"],\n", - " df[\"veh.history.speed_ach_meters_per_second\"],\n", - " )\n", - " ax[2].set_xlabel(\"Time [s]\")\n", - " ax[2].set_ylabel(\"Ach Speed [m/s]\")\n", - "\n", - " plt.tight_layout()\n", - " if SAVE_FIGS:\n", - " plt.savefig(Path(\"./plots/battery_energy.svg\"))\n", - " if SHOW_PLOTS:\n", - " plt.show()\n", - "\n", - " return fig, ax" - ] - }, - { - "cell_type": "markdown", - "id": "cell-17", - "metadata": {}, - "source": [ - "Cumulative battery electrical and chemical output energy, with state of\n", - "charge and SOC buffers." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-18", - "metadata": {}, - "outputs": [], - "source": [ - "fig, ax = plot_res_energy()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-19", - "metadata": {}, - "outputs": [], - "source": [ - "def plot_road_loads():\n", - " \"\"\"Plot road loads\"\"\"\n", - " fig, ax = plt.subplots(2, 1, sharex=True, figsize=(10, 6))\n", - " plt.suptitle(\"Road Loads\")\n", - "\n", - " ax[0].plot(\n", - " df[\"cyc.time_seconds\"],\n", - " df[\"veh.history.pwr_drag_watts\"] / 1e3,\n", - " label=\"drag\",\n", - " )\n", - " ax[0].plot(\n", - " df[\"cyc.time_seconds\"],\n", - " df[\"veh.history.pwr_rr_watts\"] / 1e3,\n", - " label=\"rolling resistance\",\n", - " )\n", - " ax[0].set_ylabel(\"Power [kW]\")\n", - " ax[0].legend()\n", - "\n", - " ax[1].plot(\n", - " df[\"cyc.time_seconds\"],\n", - " df[\"veh.history.speed_ach_meters_per_second\"],\n", - " )\n", - " ax[1].set_xlabel(\"Time [s]\")\n", - " ax[1].set_ylabel(\"Ach. Speed [m/s]\")\n", - "\n", - " plt.tight_layout()\n", - " if SAVE_FIGS:\n", - " plt.savefig(Path(\"./plots/road_loads.svg\"))\n", - " if SHOW_PLOTS:\n", - " plt.show()\n", - "\n", - " return fig, ax" - ] - }, - { - "cell_type": "markdown", - "id": "cell-20", - "metadata": {}, - "source": [ - "Aerodynamic drag power and rolling resistance power over the drive cycle." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-21", - "metadata": {}, - "outputs": [], - "source": [ - "fig, ax = plot_road_loads()" - ] - }, - { - "cell_type": "markdown", - "id": "cell-22", - "metadata": {}, - "source": [ - "*Source: `fastsim/docs/demo_scripts/demo_hev.py`*" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "name": "python" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/docs/demo_notebooks/demo_hev_thrml_cs_ca.ipynb b/docs/demo_notebooks/demo_hev_thrml_cs_ca.ipynb deleted file mode 100644 index 6e8e18015..000000000 --- a/docs/demo_notebooks/demo_hev_thrml_cs_ca.ipynb +++ /dev/null @@ -1,210 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "cell-0", - "metadata": {}, - "source": [ - "# HEV Thermal Demo: Cold Start, Cold Ambient\n", - "\n", - "This demo simulates a Hybrid Electric Vehicle (HEV) with thermal modeling under\n", - "cold start and cold ambient conditions, where the cabin, battery, and\n", - "engine begin at the same temperature as the surrounding air." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-1", - "metadata": {}, - "outputs": [], - "source": [ - "import os\n", - "import sys\n", - "from pathlib import Path\n", - "\n", - "import seaborn as sns\n", - "\n", - "sys.path.insert(0, str(next(p / \"demo_scripts\" for p in (Path.cwd(), *Path.cwd().parents) if (p / \"demo_scripts\").is_dir())))\n", - "\n", - "import fastsim as fsim\n", - "from plot_utils import (\n", - " plot_hev_fc_energy,\n", - " plot_hev_fc_pwr,\n", - " plot_hev_res_energy,\n", - " plot_hev_res_pwr,\n", - " plot_hev_temperatures,\n", - " plot_road_loads,\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-2", - "metadata": {}, - "outputs": [], - "source": [ - "sns.set_theme()\n", - "\n", - "SHOW_PLOTS = os.environ.get(\"SHOW_PLOTS\", \"true\").lower() == \"true\"\n", - "SAVE_FIGS = os.environ.get(\"SAVE_FIGS\", \"false\").lower() == \"true\"" - ] - }, - { - "cell_type": "markdown", - "id": "cell-3", - "metadata": {}, - "source": [ - "## Setup and Simulation\n", - "\n", - "Load a thermal HEV, set cold initial temperatures for the cabin, battery,\n", - "and engine to match the cold ambient, and run the simulation." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-4", - "metadata": {}, - "outputs": [], - "source": [ - "celsius_to_kelvin = 273.15\n", - "temp_amb_and_init = -6.7 + celsius_to_kelvin\n", - "\n", - "# load 2021 Hyundai Sonata HEV with thermal model\n", - "veh_dict = fsim.Vehicle.from_resource(\n", - " \"2021_Hyundai_Sonata_Hybrid_Blue_thrml.yaml\",\n", - ").to_pydict()\n", - "veh_dict[\"cabin\"][\"LumpedCabin\"][\"state\"][\"temperature_kelvin\"] = temp_amb_and_init\n", - "veh_dict[\"pt_type\"][\"HEV\"][\"res\"][\"thrml\"][\"RESLumpedThermal\"][\"state\"][\"temperature_kelvin\"] = (\n", - " temp_amb_and_init\n", - ")\n", - "veh_dict[\"pt_type\"][\"HEV\"][\"fc\"][\"thrml\"][\"FuelConverterThermal\"][\"state\"][\"temperature_kelvin\"] = (\n", - " temp_amb_and_init\n", - ")\n", - "veh = fsim.Vehicle.from_pydict(veh_dict)\n", - "\n", - "veh.set_save_interval(1)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-5", - "metadata": {}, - "outputs": [], - "source": [ - "# load cycle and set ambient temperature\n", - "cyc_dict = fsim.Cycle.from_resource(\"udds.csv\").to_pydict()\n", - "cyc_dict[\"temp_amb_air_kelvin\"] = [temp_amb_and_init] * len(cyc_dict[\"time_seconds\"])\n", - "cyc = fsim.Cycle.from_pydict(cyc_dict)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-6", - "metadata": {}, - "outputs": [], - "source": [ - "sd = fsim.SimDrive(veh, cyc)\n", - "sd.walk()\n", - "\n", - "df = sd.to_dataframe()\n", - "sd_dict = sd.to_pydict(flatten=True)" - ] - }, - { - "cell_type": "markdown", - "id": "cell-7", - "metadata": {}, - "source": [ - "## Visualize Results\n", - "\n", - "Fuel converter power and energy, battery power and energy, component\n", - "temperatures, and road loads under cold start, cold ambient conditions." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-8", - "metadata": {}, - "outputs": [], - "source": [ - "fig_fc_pwr, ax_fc_pwr = plot_hev_fc_pwr(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-9", - "metadata": {}, - "outputs": [], - "source": [ - "fig_fc_energy, ax_fc_energy = plot_hev_fc_energy(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-10", - "metadata": {}, - "outputs": [], - "source": [ - "fig_res_pwr, ax_res_pwr = plot_hev_res_pwr(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-11", - "metadata": {}, - "outputs": [], - "source": [ - "fig_res_energy, ax_res_energy = plot_hev_res_energy(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-12", - "metadata": {}, - "outputs": [], - "source": [ - "fig_temps, ax_temps = plot_hev_temperatures(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-13", - "metadata": {}, - "outputs": [], - "source": [ - "fig, ax = plot_road_loads(df, veh, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" - ] - }, - { - "cell_type": "markdown", - "id": "cell-14", - "metadata": {}, - "source": [ - "*Source: `fastsim/docs/demo_scripts/demo_hev_thrml_cs_ca.py`*" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "name": "python" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/docs/demo_notebooks/demo_hev_thrml_ws_ca.ipynb b/docs/demo_notebooks/demo_hev_thrml_ws_ca.ipynb deleted file mode 100644 index fa267321e..000000000 --- a/docs/demo_notebooks/demo_hev_thrml_ws_ca.ipynb +++ /dev/null @@ -1,213 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "cell-0", - "metadata": {}, - "source": [ - "# HEV Thermal Demo: Warm Start, Cold Ambient\n", - "\n", - "This demo simulates a Hybrid Electric Vehicle (HEV) with thermal modeling under\n", - "warm start and cold ambient conditions, where the cabin and battery begin\n", - "warm, the engine begins hot, and the surrounding air is cold." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-1", - "metadata": {}, - "outputs": [], - "source": [ - "import os\n", - "import sys\n", - "from pathlib import Path\n", - "\n", - "import seaborn as sns\n", - "\n", - "sys.path.insert(0, str(next(p / \"demo_scripts\" for p in (Path.cwd(), *Path.cwd().parents) if (p / \"demo_scripts\").is_dir())))\n", - "\n", - "import fastsim as fsim\n", - "from plot_utils import (\n", - " plot_hev_fc_energy,\n", - " plot_hev_fc_pwr,\n", - " plot_hev_res_energy,\n", - " plot_hev_res_pwr,\n", - " plot_hev_temperatures,\n", - " plot_road_loads,\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-2", - "metadata": {}, - "outputs": [], - "source": [ - "sns.set_theme()\n", - "\n", - "SHOW_PLOTS = os.environ.get(\"SHOW_PLOTS\", \"true\").lower() == \"true\"\n", - "SAVE_FIGS = os.environ.get(\"SAVE_FIGS\", \"false\").lower() == \"true\"" - ] - }, - { - "cell_type": "markdown", - "id": "cell-3", - "metadata": {}, - "source": [ - "## Setup and Simulation\n", - "\n", - "Load a thermal HEV, set warm initial temperatures for the cabin and\n", - "battery, a hot initial temperature for the engine, and a cold ambient\n", - "temperature, then run the simulation." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-4", - "metadata": {}, - "outputs": [], - "source": [ - "celsius_to_kelvin = 273.15\n", - "temp_amb = -6.7 + celsius_to_kelvin\n", - "temp_init_bat_and_cab = 22.0 + celsius_to_kelvin\n", - "temp_init_eng = 70.0 + celsius_to_kelvin\n", - "\n", - "# load 2021 Hyundai Sonata HEV with thermal model\n", - "veh_dict = fsim.Vehicle.from_resource(\n", - " \"2021_Hyundai_Sonata_Hybrid_Blue_thrml.yaml\",\n", - ").to_pydict()\n", - "veh_dict[\"cabin\"][\"LumpedCabin\"][\"state\"][\"temperature_kelvin\"] = temp_init_bat_and_cab\n", - "veh_dict[\"pt_type\"][\"HEV\"][\"res\"][\"thrml\"][\"RESLumpedThermal\"][\"state\"][\"temperature_kelvin\"] = (\n", - " temp_init_bat_and_cab\n", - ")\n", - "veh_dict[\"pt_type\"][\"HEV\"][\"fc\"][\"thrml\"][\"FuelConverterThermal\"][\"state\"][\"temperature_kelvin\"] = (\n", - " temp_init_eng\n", - ")\n", - "veh = fsim.Vehicle.from_pydict(veh_dict)\n", - "\n", - "veh.set_save_interval(1)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-5", - "metadata": {}, - "outputs": [], - "source": [ - "# load cycle and set ambient temperature\n", - "cyc_dict = fsim.Cycle.from_resource(\"udds.csv\").to_pydict()\n", - "cyc_dict[\"temp_amb_air_kelvin\"] = [temp_amb] * len(cyc_dict[\"time_seconds\"])\n", - "cyc = fsim.Cycle.from_pydict(cyc_dict)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-6", - "metadata": {}, - "outputs": [], - "source": [ - "sd = fsim.SimDrive(veh, cyc)\n", - "sd.walk()\n", - "\n", - "df = sd.to_dataframe()\n", - "sd_dict = sd.to_pydict(flatten=True)" - ] - }, - { - "cell_type": "markdown", - "id": "cell-7", - "metadata": {}, - "source": [ - "## Visualize Results\n", - "\n", - "Fuel converter power and energy, battery power and energy, component\n", - "temperatures, and road loads under warm start, cold ambient conditions." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-8", - "metadata": {}, - "outputs": [], - "source": [ - "fig_fc_pwr, ax_fc_pwr = plot_hev_fc_pwr(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-9", - "metadata": {}, - "outputs": [], - "source": [ - "fig_fc_energy, ax_fc_energy = plot_hev_fc_energy(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-10", - "metadata": {}, - "outputs": [], - "source": [ - "fig_res_pwr, ax_res_pwr = plot_hev_res_pwr(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-11", - "metadata": {}, - "outputs": [], - "source": [ - "fig_res_energy, ax_res_energy = plot_hev_res_energy(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-12", - "metadata": {}, - "outputs": [], - "source": [ - "fig_temps, ax_temps = plot_hev_temperatures(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-13", - "metadata": {}, - "outputs": [], - "source": [ - "fig, ax = plot_road_loads(df, veh, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" - ] - }, - { - "cell_type": "markdown", - "id": "cell-14", - "metadata": {}, - "source": [ - "*Source: `fastsim/docs/demo_scripts/demo_hev_thrml_ws_ca.py`*" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "name": "python" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/docs/demo_notebooks/demo_hev_thrml_ws_wa.ipynb b/docs/demo_notebooks/demo_hev_thrml_ws_wa.ipynb deleted file mode 100644 index 670c173d0..000000000 --- a/docs/demo_notebooks/demo_hev_thrml_ws_wa.ipynb +++ /dev/null @@ -1,211 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "cell-0", - "metadata": {}, - "source": [ - "# HEV Thermal Demo: Warm Start, Warm Ambient\n", - "\n", - "This demo simulates a Hybrid Electric Vehicle (HEV) with thermal modeling under\n", - "warm start and warm ambient conditions, where the cabin, battery, and\n", - "engine all begin hot and the surrounding air is also hot." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-1", - "metadata": {}, - "outputs": [], - "source": [ - "import os\n", - "import sys\n", - "from pathlib import Path\n", - "\n", - "import seaborn as sns\n", - "\n", - "sys.path.insert(0, str(next(p / \"demo_scripts\" for p in (Path.cwd(), *Path.cwd().parents) if (p / \"demo_scripts\").is_dir())))\n", - "\n", - "import fastsim as fsim\n", - "from plot_utils import (\n", - " plot_hev_fc_energy,\n", - " plot_hev_fc_pwr,\n", - " plot_hev_res_energy,\n", - " plot_hev_res_pwr,\n", - " plot_hev_temperatures,\n", - " plot_road_loads,\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-2", - "metadata": {}, - "outputs": [], - "source": [ - "sns.set_theme()\n", - "\n", - "SHOW_PLOTS = os.environ.get(\"SHOW_PLOTS\", \"true\").lower() == \"true\"\n", - "SAVE_FIGS = os.environ.get(\"SAVE_FIGS\", \"false\").lower() == \"true\"" - ] - }, - { - "cell_type": "markdown", - "id": "cell-3", - "metadata": {}, - "source": [ - "## Setup and Simulation\n", - "\n", - "Load a thermal HEV, set warm initial temperatures for the cabin, battery,\n", - "and engine with a warm ambient temperature, and run the simulation." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-4", - "metadata": {}, - "outputs": [], - "source": [ - "celsius_to_kelvin = 273.15\n", - "temp_amb = 38.0 + celsius_to_kelvin\n", - "temp_init = 45.0 + celsius_to_kelvin\n", - "\n", - "# load 2021 Hyundai Sonata HEV with thermal model\n", - "veh_dict = fsim.Vehicle.from_resource(\n", - " \"2021_Hyundai_Sonata_Hybrid_Blue_thrml.yaml\",\n", - ").to_pydict()\n", - "veh_dict[\"cabin\"][\"LumpedCabin\"][\"state\"][\"temperature_kelvin\"] = temp_init\n", - "veh_dict[\"pt_type\"][\"HEV\"][\"res\"][\"thrml\"][\"RESLumpedThermal\"][\"state\"][\"temperature_kelvin\"] = (\n", - " temp_init\n", - ")\n", - "veh_dict[\"pt_type\"][\"HEV\"][\"fc\"][\"thrml\"][\"FuelConverterThermal\"][\"state\"][\"temperature_kelvin\"] = (\n", - " temp_init\n", - ")\n", - "veh = fsim.Vehicle.from_pydict(veh_dict)\n", - "\n", - "veh.set_save_interval(1)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-5", - "metadata": {}, - "outputs": [], - "source": [ - "# load cycle and set ambient temperature\n", - "cyc_dict = fsim.Cycle.from_resource(\"udds.csv\").to_pydict()\n", - "cyc_dict[\"temp_amb_air_kelvin\"] = [temp_amb] * len(cyc_dict[\"time_seconds\"])\n", - "cyc = fsim.Cycle.from_pydict(cyc_dict)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-6", - "metadata": {}, - "outputs": [], - "source": [ - "sd = fsim.SimDrive(veh, cyc)\n", - "sd.walk()\n", - "\n", - "df = sd.to_dataframe()\n", - "sd_dict = sd.to_pydict(flatten=True)" - ] - }, - { - "cell_type": "markdown", - "id": "cell-7", - "metadata": {}, - "source": [ - "## Visualize Results\n", - "\n", - "Fuel converter power and energy, battery power and energy, component\n", - "temperatures, and road loads under warm start, warm ambient conditions." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-8", - "metadata": {}, - "outputs": [], - "source": [ - "fig_fc_pwr, ax_fc_pwr = plot_hev_fc_pwr(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-9", - "metadata": {}, - "outputs": [], - "source": [ - "fig_fc_energy, ax_fc_energy = plot_hev_fc_energy(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-10", - "metadata": {}, - "outputs": [], - "source": [ - "fig_res_pwr, ax_res_pwr = plot_hev_res_pwr(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-11", - "metadata": {}, - "outputs": [], - "source": [ - "fig_res_energy, ax_res_energy = plot_hev_res_energy(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-12", - "metadata": {}, - "outputs": [], - "source": [ - "fig_temps, ax_temps = plot_hev_temperatures(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-13", - "metadata": {}, - "outputs": [], - "source": [ - "fig, ax = plot_road_loads(df, veh, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)" - ] - }, - { - "cell_type": "markdown", - "id": "cell-14", - "metadata": {}, - "source": [ - "*Source: `fastsim/docs/demo_scripts/demo_hev_thrml_ws_wa.py`*" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "name": "python" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/docs/demo_notebooks/demo_maneuver_intro.ipynb b/docs/demo_notebooks/demo_maneuver_intro.ipynb deleted file mode 100644 index c97bda0b9..000000000 --- a/docs/demo_notebooks/demo_maneuver_intro.ipynb +++ /dev/null @@ -1,233 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "cell-0", - "metadata": {}, - "source": [ - "# CAVS: Intro to Maneuvers\n", - "\n", - "The `Maneuver` struct applies Connected Automated Vehicle (CAV) maneuvers\n", - "to a drive cycle and returns the modified cycle. This demo walks through\n", - "the core Maneuver workflow." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-1", - "metadata": {}, - "outputs": [], - "source": [ - "import os\n", - "\n", - "import matplotlib.pyplot as plt\n", - "import seaborn as sns\n", - "\n", - "import fastsim as fsim" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-2", - "metadata": {}, - "outputs": [], - "source": [ - "sns.set_theme()\n", - "\n", - "SHOW_PLOTS = os.environ.get(\"SHOW_PLOTS\", \"true\").lower() == \"true\"" - ] - }, - { - "cell_type": "markdown", - "id": "cell-3", - "metadata": {}, - "source": [ - "## Creating a Maneuver\n", - "\n", - "`Maneuver.create_from` creates a Maneuver from a cycle and vehicle.\n", - "It copies chassis data from the vehicle and solver settings from\n", - "`SimParams` defaults." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-4", - "metadata": {}, - "outputs": [], - "source": [ - "veh = fsim.Vehicle.from_resource(\"2012_Ford_Fusion.yaml\")\n", - "veh.set_save_interval(1)\n", - "\n", - "cyc = fsim.Cycle.from_resource(\"udds.csv\")\n", - "cyc0 = cyc.copy()\n", - "\n", - "man = fsim.Maneuver.create_from(cyc, veh.copy())" - ] - }, - { - "cell_type": "markdown", - "id": "cell-5", - "metadata": {}, - "source": [ - "## Inspecting and Modifying Parameters\n", - "\n", - "`to_pydict()` serializes the Maneuver to a Python dictionary.\n", - "Parameters can be modified in the dictionary and then loaded back\n", - "with `Maneuver.from_pydict()`.\n", - "\n", - "The Maneuver struct has two groups of configurable parameters:\n", - "\n", - "**Coasting** (`coast_*`): controls whether and how coasting is applied\n", - "to the cycle.\n", - "\n", - "**IDM** (`idm_*`): Intelligent Driver Model, Adaptive Cruise Control\n", - "version." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-6", - "metadata": {}, - "outputs": [], - "source": [ - "d = man.to_pydict()\n", - "\n", - "print(\"Coasting parameters:\")\n", - "for k in sorted(d):\n", - " if k.startswith(\"coast\"):\n", - " print(f\" {k}: {d[k]}\")\n", - "\n", - "print(\"\\nIDM parameters:\")\n", - "for k in sorted(d):\n", - " if k.startswith(\"idm\"):\n", - " print(f\" {k}: {d[k]}\")" - ] - }, - { - "cell_type": "markdown", - "id": "cell-7", - "metadata": {}, - "source": [ - "## Applying Maneuvers\n", - "\n", - "Enable coasting and call `apply_maneuvers()` to get a modified cycle.\n", - "The returned `Cycle` can then be passed to `SimDrive` for simulation." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-8", - "metadata": {}, - "outputs": [], - "source": [ - "d[\"coast_allow\"] = True\n", - "d[\"coast_start_speed_meters_per_second\"] = 15.0\n", - "man = fsim.Maneuver.from_pydict(d)\n", - "\n", - "cyc_modified = man.apply_maneuvers()" - ] - }, - { - "cell_type": "markdown", - "id": "cell-9", - "metadata": {}, - "source": [ - "## Comparing Original and Modified Cycles\n", - "\n", - "The modified cycle deviates from the original where coasting is applied." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-10", - "metadata": {}, - "outputs": [], - "source": [ - "if SHOW_PLOTS:\n", - " c0 = cyc0.to_pydict()\n", - " cm = cyc_modified.to_pydict()\n", - "\n", - " fig, ax = plt.subplots(figsize=(10, 4))\n", - " ax.plot(c0[\"time_seconds\"], c0[\"speed_meters_per_second\"], label=\"Original\")\n", - " ax.plot(cm[\"time_seconds\"], cm[\"speed_meters_per_second\"], linestyle=\"--\", label=\"Modified\")\n", - " ax.set_xlabel(\"Time [s]\")\n", - " ax.set_ylabel(\"Speed [m/s]\")\n", - " ax.set_title(\"Original vs. Modified Cycle\")\n", - " ax.legend()\n", - " plt.tight_layout()\n", - " plt.show()" - ] - }, - { - "cell_type": "markdown", - "id": "cell-11", - "metadata": {}, - "source": [ - "## Simulating with the Modified Cycle" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-12", - "metadata": {}, - "outputs": [], - "source": [ - "sd = fsim.SimDrive(veh, cyc_modified)\n", - "sd.walk()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-13", - "metadata": {}, - "outputs": [], - "source": [ - "if SHOW_PLOTS:\n", - " df = sd.to_dataframe()\n", - "\n", - " fig, ax = plt.subplots(figsize=(10, 4))\n", - " ax.plot(c0[\"time_seconds\"], c0[\"speed_meters_per_second\"], label=\"Original Cycle\")\n", - " ax.plot(\n", - " df[\"cyc.time_seconds\"],\n", - " df[\"veh.history.speed_ach_meters_per_second\"],\n", - " linestyle=\"--\",\n", - " label=\"Achieved Speed\",\n", - " )\n", - " ax.set_xlabel(\"Time [s]\")\n", - " ax.set_ylabel(\"Speed [m/s]\")\n", - " ax.set_title(\"Achieved Speed with Coasting Maneuver\")\n", - " ax.legend()\n", - " plt.tight_layout()\n", - " plt.show()" - ] - }, - { - "cell_type": "markdown", - "id": "cell-14", - "metadata": {}, - "source": [ - "*Source: `fastsim/docs/demo_scripts/demo_maneuver_intro.py`*" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "name": "python" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/docs/demo_notebooks/demo_microtrips.ipynb b/docs/demo_notebooks/demo_microtrips.ipynb deleted file mode 100644 index 48ae95c41..000000000 --- a/docs/demo_notebooks/demo_microtrips.ipynb +++ /dev/null @@ -1,136 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "cell-0", - "metadata": {}, - "source": [ - "# CAVS: Cycle Microtrips\n", - "\n", - "This Connected Automated Vehicle (CAV) demo extracts and plots individual\n", - "microtrips from a drive cycle." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-1", - "metadata": {}, - "outputs": [], - "source": [ - "import os\n", - "\n", - "import matplotlib.pyplot as plt\n", - "import seaborn as sns\n", - "\n", - "import sys\n", - "from pathlib import Path\n", - "\n", - "sys.path.insert(0, str(next(p / \"demo_scripts\" for p in (Path.cwd(), *Path.cwd().parents) if (p / \"demo_scripts\").is_dir())))\n", - "\n", - "import fastsim as fsim\n", - "from plot_utils import BASE_COLORS, BASE_LINE_STYLES" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-2", - "metadata": {}, - "outputs": [], - "source": [ - "sns.set_theme()\n", - "\n", - "SHOW_PLOTS = os.environ.get(\"SHOW_PLOTS\", \"true\").lower() == \"true\"\n", - "SAVE_FIGS = os.environ.get(\"SAVE_FIGS\", \"false\").lower() == \"true\"" - ] - }, - { - "cell_type": "markdown", - "id": "cell-3", - "metadata": {}, - "source": [ - "## Extract Microtrips\n", - "\n", - "`Cycle.to_microtrips` splits a drive cycle into individual microtrips.\n", - "An optional `stop_speed` parameter sets the threshold below which the\n", - "vehicle is considered stopped." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-4", - "metadata": {}, - "outputs": [], - "source": [ - "cycle = fsim.Cycle.from_resource(\"udds.csv\")\n", - "microtrips = cycle.to_microtrips(None)" - ] - }, - { - "cell_type": "markdown", - "id": "cell-5", - "metadata": {}, - "source": [ - "The first four microtrips from the Urban Dynamometer Driving Schedule\n", - "(UDDS) cycle." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-6", - "metadata": {}, - "outputs": [], - "source": [ - "if SHOW_PLOTS:\n", - " max_microtrips = 4\n", - " fig, ax = plt.subplots()\n", - " num = min(max_microtrips, len(microtrips))\n", - " for idx, mt in enumerate(microtrips):\n", - " mtd = mt.to_pydict()\n", - " color = BASE_COLORS[idx % len(BASE_COLORS)]\n", - " line = BASE_LINE_STYLES[idx % len(BASE_LINE_STYLES)]\n", - " ax.plot(\n", - " mtd[\"time_seconds\"],\n", - " mtd[\"speed_meters_per_second\"],\n", - " marker=\".\",\n", - " color=color,\n", - " linestyle=line,\n", - " label=f\"#{idx + 1}\",\n", - " )\n", - " if idx >= max_microtrips:\n", - " break\n", - " ax.set_title(f\"First {num + 1} Microtrips of UDDS\")\n", - " ax.set_ylabel(\"Speed (m/s)\")\n", - " ax.set_xlabel(\"Time (s)\")\n", - " ax.legend()\n", - " fig.tight_layout()\n", - " if SAVE_FIGS:\n", - " plt.savefig(Path(\"./plots/microtrips.svg\"))\n", - " plt.show()" - ] - }, - { - "cell_type": "markdown", - "id": "cell-7", - "metadata": {}, - "source": [ - "*Source: `fastsim/docs/demo_scripts/demo_microtrips.py`*" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "name": "python" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/docs/demo_notebooks/demo_stop_start.ipynb b/docs/demo_notebooks/demo_stop_start.ipynb deleted file mode 100644 index 6c15d8e2e..000000000 --- a/docs/demo_notebooks/demo_stop_start.ipynb +++ /dev/null @@ -1,654 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "cell-0", - "metadata": {}, - "source": [ - "# Engine Stop/Start Demo\n", - "\n", - "This demo simulates a conventional vehicle over a drive cycle with and\n", - "without engine stop/start, which turns the engine off while the vehicle\n", - "is stopped, and compares the resulting fuel economy. It then converts\n", - "the vehicle to a micro hybrid electric vehicle (uHEV) with a small\n", - "battery and electric machine that supplies auxiliary loads when\n", - "feasible, including while the engine is off." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-1", - "metadata": {}, - "outputs": [], - "source": [ - "import os\n", - "import sys\n", - "from pathlib import Path\n", - "\n", - "import matplotlib.pyplot as plt\n", - "import pandas as pd\n", - "import seaborn as sns\n", - "from matplotlib.axes import Axes\n", - "from matplotlib.figure import Figure\n", - "\n", - "sys.path.insert(0, str(next(p / \"demo_scripts\" for p in (Path.cwd(), *Path.cwd().parents) if (p / \"demo_scripts\").is_dir())))\n", - "\n", - "import fastsim as fsim\n", - "from plot_utils import get_paired_cycler, get_uni_cycler" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-2", - "metadata": {}, - "outputs": [], - "source": [ - "sns.set_theme()\n", - "\n", - "# if environment var `SHOW_PLOTS=false` is set, no plots are shown\n", - "SHOW_PLOTS = os.environ.get(\"SHOW_PLOTS\", \"true\").lower() == \"true\"\n", - "# if environment var `SAVE_FIGS=true` is set, save plots\n", - "SAVE_FIGS = os.environ.get(\"SAVE_FIGS\", \"false\").lower() == \"true\"\n", - "\n", - "METERS_PER_MILE = 1609.34\n", - "MJ_PER_GGE = 125.0" - ] - }, - { - "cell_type": "markdown", - "id": "cell-3", - "metadata": {}, - "source": [ - "## Setup and Simulation\n", - "\n", - "Run the same vehicle and drive cycle twice: first with the default\n", - "powertrain controller, then with the stop/start controller enabled via\n", - "`use_stop_start_controller`. The stop/start controller turns the engine\n", - "off while the vehicle is stopped, subject to conditions such as a\n", - "minimum engine on time and engine warm-up temperature." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-4", - "metadata": {}, - "outputs": [], - "source": [ - "# load 2026 Chrysler Pacifica Select\n", - "veh = fsim.Vehicle.from_resource(\"2026_Chrysler_Pacifica_Select.yaml\")\n", - "veh.set_save_interval(1)\n", - "\n", - "# load cycle from file\n", - "cyc = fsim.Cycle.from_resource(\"udds.csv\")\n", - "\n", - "# instantiate `SimDrive` simulation object and run\n", - "sd = fsim.SimDrive(veh, cyc)\n", - "sd.walk()\n", - "df = sd.to_dataframe()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-5", - "metadata": {}, - "outputs": [], - "source": [ - "# load 2026 Chrysler Pacifica Select with stop/start\n", - "veh_ss = fsim.Vehicle.from_resource(\"2026_Chrysler_Pacifica_Select.yaml\")\n", - "veh_ss.use_stop_start_controller()\n", - "veh_ss.set_save_interval(1)\n", - "\n", - "sd_ss = fsim.SimDrive(veh_ss, cyc)\n", - "sd_ss.walk()\n", - "df_ss = sd_ss.to_dataframe()" - ] - }, - { - "cell_type": "markdown", - "id": "cell-6", - "metadata": {}, - "source": [ - "## Fuel Economy Comparison\n", - "\n", - "Compute fuel economy for both runs from cumulative fuel energy and cycle\n", - "distance, then print the percent reduction in fuel use from stop/start." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-7", - "metadata": {}, - "outputs": [], - "source": [ - "cyc_dict = cyc.to_pydict()\n", - "distance_m = cyc_dict[\"dist_meters\"][-1]\n", - "distance_mi = distance_m / METERS_PER_MILE\n", - "\n", - "fuel_mj = df[\"veh.pt_type.Conv.fc.history.energy_fuel_joules\"][-1] / 1e6\n", - "fuel_ss_mj = df_ss[\"veh.pt_type.Conv.fc.history.energy_fuel_joules\"][-1] / 1e6\n", - "\n", - "gge_gal = fuel_mj / MJ_PER_GGE\n", - "gge_ss_gal = fuel_ss_mj / MJ_PER_GGE\n", - "fuel_economy_mpg = distance_mi / gge_gal\n", - "fuel_economy_ss_mpg = distance_mi / gge_ss_gal\n", - "\n", - "percent_reduction = (fuel_mj - fuel_ss_mj) * 100.0 / fuel_mj\n", - "\n", - "print(f\"Conventional Vehicle Fuel Economy: {fuel_economy_mpg} mpg\")\n", - "print(f\"Conventional w/ Stop/Start : {fuel_economy_ss_mpg} mpg\")\n", - "print(f\"Stop/Start Reduction in Fuel Usage (Conv): {percent_reduction} %\")" - ] - }, - { - "cell_type": "markdown", - "id": "cell-8", - "metadata": {}, - "source": [ - "## Micro Hybrid Conversion\n", - "\n", - "The following function converts the conventional vehicle into a micro\n", - "hybrid electric vehicle (uHEV): a vehicle with a small battery and\n", - "electric machine that support engine stop/start. The conversion keeps\n", - "the original fuel converter, fuel storage, and transmission, adds a\n", - "battery and a constant-efficiency electric machine, supplies auxiliary\n", - "loads from the battery when feasible (`AuxOnResPriority`), and uses the\n", - "hybrid stop/start powertrain controller with optional regenerative\n", - "braking. The dictionaries are written out in full to show the fields\n", - "available for tweaking." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-9", - "metadata": {}, - "outputs": [], - "source": [ - "def conv_to_micro_hybrid(\n", - " veh: fsim.Vehicle,\n", - " res_eff: float | None = None,\n", - " res_capacity_joules: float | None = None,\n", - " em_eff: float | None = None,\n", - " em_max_pwr_w: float | None = None,\n", - " allow_regen: bool = True,\n", - ") -> fsim.Vehicle:\n", - " \"\"\"Build a micro hybrid version of the Chrysler Pacifica Select.\"\"\"\n", - " # veh = fsim.Vehicle.from_resource(\"2026_Chrysler_Pacifica_Select.yaml\")\n", - " res_eff = 0.90 if res_eff is None else res_eff\n", - " res_capacity_joules = 72_000.0 if res_capacity_joules is None else res_capacity_joules\n", - " em_eff = 0.95 if em_eff is None else em_eff\n", - " em_max_pwr_w = 5_000.0 if em_max_pwr_w is None else em_max_pwr_w\n", - " assert res_capacity_joules > 0.0\n", - " assert res_eff > 0.0 and res_eff <= 1.0, \"res_eff must be in range (0.0, 1.0]\"\n", - " assert em_eff > 0.0 and em_eff <= 1.0, \"em_eff must be in range (0.0, 1.0]\"\n", - " veh_dict = veh.to_pydict()\n", - " res = {\n", - " \"thrml\": \"None\",\n", - " \"mass_kilograms\": None,\n", - " \"specific_energy_joules_per_kilogram\": None,\n", - " \"pwr_out_max_watts\": em_max_pwr_w,\n", - " \"energy_capacity_joules\": res_capacity_joules,\n", - " \"eff_interp\": {\n", - " \"Constant\": res_eff,\n", - " },\n", - " \"min_soc\": 0.0,\n", - " \"max_soc\": 1.0,\n", - " \"state\": {\n", - " \"pwr_prop_max_watts\": 0.0,\n", - " \"pwr_regen_max_watts\": 0.0,\n", - " \"pwr_disch_max_watts\": 0.0,\n", - " \"pwr_charge_max_watts\": 0.0,\n", - " \"i\": 0,\n", - " \"soc\": 0.5,\n", - " \"soc_regen_buffer\": 1.0,\n", - " \"soc_disch_buffer\": 0.0,\n", - " \"eff\": 0.0,\n", - " \"soh\": 0.0,\n", - " \"pwr_out_electrical_watts\": 0.0,\n", - " \"pwr_out_prop_watts\": 0.0,\n", - " \"pwr_aux_watts\": 0.0,\n", - " \"pwr_loss_watts\": 0.0,\n", - " \"pwr_out_chemical_watts\": 0.0,\n", - " \"energy_out_electrical_joules\": 0.0,\n", - " \"energy_out_prop_joules\": 0.0,\n", - " \"energy_aux_joules\": 0.0,\n", - " \"energy_loss_joules\": 0.0,\n", - " \"energy_out_chemical_joules\": 0.0,\n", - " },\n", - " \"history\": {\n", - " \"pwr_prop_max_watts\": [],\n", - " \"pwr_regen_max_watts\": [],\n", - " \"pwr_disch_max_watts\": [],\n", - " \"pwr_charge_max_watts\": [],\n", - " \"i\": [],\n", - " \"soc\": [],\n", - " \"soc_regen_buffer\": [],\n", - " \"soc_disch_buffer\": [],\n", - " \"eff\": [],\n", - " \"soh\": [],\n", - " \"pwr_out_electrical_watts\": [],\n", - " \"pwr_out_prop_watts\": [],\n", - " \"pwr_aux_watts\": [],\n", - " \"pwr_loss_watts\": [],\n", - " \"pwr_out_chemical_watts\": [],\n", - " \"energy_out_electrical_joules\": [],\n", - " \"energy_out_prop_joules\": [],\n", - " \"energy_aux_joules\": [],\n", - " \"energy_loss_joules\": [],\n", - " \"energy_out_chemical_joules\": [],\n", - " },\n", - " \"save_interval\": 1,\n", - " }\n", - " em = {\n", - " \"eff_interp_achieved\": {\n", - " \"data\": {\n", - " \"grid\": [\n", - " {\n", - " \"v\": 1,\n", - " \"dim\": [2],\n", - " \"data\": [0.0, 1.0],\n", - " },\n", - " ],\n", - " \"values\": {\n", - " \"v\": 1,\n", - " \"dim\": [2],\n", - " \"data\": [em_eff, em_eff],\n", - " },\n", - " },\n", - " \"strategy\": \"Linear\",\n", - " \"extrapolate\": \"Error\",\n", - " },\n", - " \"eff_interp_at_max_input\": {\n", - " \"data\": {\n", - " \"grid\": [\n", - " {\n", - " \"v\": 1,\n", - " \"dim\": [2],\n", - " \"data\": [0.0, 1.0],\n", - " },\n", - " ],\n", - " \"values\": {\n", - " \"v\": 1,\n", - " \"dim\": [2],\n", - " \"data\": [em_eff, em_eff],\n", - " },\n", - " },\n", - " \"strategy\": \"Linear\",\n", - " \"extrapolate\": \"Error\",\n", - " },\n", - " \"pwr_out_max_watts\": em_max_pwr_w,\n", - " \"specific_pwr_watts_per_kilogram\": None,\n", - " \"mass_kilograms\": None,\n", - " \"save_interval\": 1,\n", - " \"state\": {\n", - " \"i\": 0,\n", - " \"eff\": 0.0,\n", - " \"pwr_mech_fwd_out_max_watts\": 0.0,\n", - " \"eff_fwd_at_max_input\": 0.0,\n", - " \"pwr_mech_regen_max_watts\": 0.0,\n", - " \"eff_at_max_regen\": 0.0,\n", - " \"pwr_out_req_watts\": 0.0,\n", - " \"energy_out_req_joules\": 0.0,\n", - " \"pwr_elec_prop_in_watts\": 0.0,\n", - " \"energy_elec_prop_in_joules\": 0.0,\n", - " \"pwr_mech_prop_out_watts\": 0.0,\n", - " \"energy_mech_prop_out_joules\": 0.0,\n", - " \"pwr_mech_dyn_brake_watts\": 0.0,\n", - " \"energy_mech_dyn_brake_joules\": 0.0,\n", - " \"pwr_elec_dyn_brake_watts\": 0.0,\n", - " \"energy_elec_dyn_brake_joules\": 0.0,\n", - " \"pwr_loss_watts\": 0.0,\n", - " \"energy_loss_joules\": 0.0,\n", - " },\n", - " \"history\": {\n", - " \"i\": [],\n", - " \"eff\": [],\n", - " \"pwr_mech_fwd_out_max_watts\": [],\n", - " \"eff_fwd_at_max_input\": [],\n", - " \"pwr_mech_regen_max_watts\": [],\n", - " \"eff_at_max_regen\": [],\n", - " \"pwr_out_req_watts\": [],\n", - " \"energy_out_req_joules\": [],\n", - " \"pwr_elec_prop_in_watts\": [],\n", - " \"energy_elec_prop_in_joules\": [],\n", - " \"pwr_mech_prop_out_watts\": [],\n", - " \"energy_mech_prop_out_joules\": [],\n", - " \"pwr_mech_dyn_brake_watts\": [],\n", - " \"energy_mech_dyn_brake_joules\": [],\n", - " \"pwr_elec_dyn_brake_watts\": [],\n", - " \"energy_elec_dyn_brake_joules\": [],\n", - " \"pwr_loss_watts\": [],\n", - " \"energy_loss_joules\": [],\n", - " },\n", - " }\n", - " pt_cntrl = {\n", - " \"StopStart\": {\n", - " \"fc_min_time_on_seconds\": None,\n", - " \"soc_fc_forced_on\": None,\n", - " \"frac_of_most_eff_pwr_to_run_fc\": None,\n", - " \"temp_fc_forced_on_kelvin\": None,\n", - " \"temp_fc_allowed_off_kelvin\": None,\n", - " \"time_delay_after_stop_until_fc_can_turn_off_seconds\": None,\n", - " \"em_can_regen\": allow_regen,\n", - " \"save_interval\": 1,\n", - " \"state\": {\n", - " \"i\": 0,\n", - " \"fc_temperature_too_low\": False,\n", - " \"vehicle_not_stopped\": False,\n", - " \"on_time_too_short\": False,\n", - " \"aux_power_demand\": False,\n", - " \"charging_for_low_soc\": False,\n", - " \"time_vehicle_stopped_seconds\": 0.0,\n", - " \"vehicle_not_stopped_long_enough\": False,\n", - " \"has_traction_power_request\": False,\n", - " },\n", - " \"history\": {\n", - " \"i\": [],\n", - " \"fc_temperature_too_low\": [],\n", - " \"vehicle_not_stopped\": [],\n", - " \"on_time_too_short\": [],\n", - " \"aux_power_demand\": [],\n", - " \"charging_for_low_soc\": [],\n", - " \"time_vehicle_stopped_seconds\": [],\n", - " \"vehicle_not_stopped_long_enough\": [],\n", - " \"has_traction_power_request\": [],\n", - " },\n", - " },\n", - " }\n", - " sim_params = {\n", - " \"res_per_fuel_lim\": 0.005,\n", - " \"soc_balance_iter_err\": 5,\n", - " \"balance_soc\": True,\n", - " \"save_soc_bal_iters\": False,\n", - " }\n", - " # NOTE: The value of 11.9 kW below is the approximate idle fuel consumption of the\n", - " # conventional version of the vehicle. In theory, this could be much lower as the\n", - " # accessories can be supplied electrically (thus alleviating the need for engine on).\n", - " # NOTE: if pwr_idle_fuel_watts is too low or zero, the engine effectively uses DFCO\n", - " # behavior where it \"shuts off\" (i.e., technically on but using no fuel) if no\n", - " # tractive effort is demanded.\n", - " veh_dict[\"pt_type\"][\"Conv\"][\"fc\"][\"pwr_idle_fuel_watts\"] = 11_900.0\n", - " veh_dict[\"pt_type\"] = {\n", - " \"HEV\": {\n", - " \"res\": res,\n", - " \"fs\": veh_dict[\"pt_type\"][\"Conv\"][\"fs\"],\n", - " \"fc\": veh_dict[\"pt_type\"][\"Conv\"][\"fc\"],\n", - " \"em\": em,\n", - " \"transmission\": veh_dict[\"pt_type\"][\"Conv\"][\"transmission\"],\n", - " \"pt_cntrl\": pt_cntrl,\n", - " \"aux_cntrl\": \"AuxOnResPriority\",\n", - " \"mass_kilograms\": None,\n", - " \"sim_params\": sim_params,\n", - " },\n", - " }\n", - " veh_uhev = fsim.Vehicle.from_pydict(veh_dict)\n", - " return veh_uhev" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-10", - "metadata": {}, - "outputs": [], - "source": [ - "veh_uhev = conv_to_micro_hybrid(veh)\n", - "sd_uhev = fsim.SimDrive(veh_uhev, cyc)\n", - "sd_uhev.walk()\n", - "df_uhev = sd_uhev.to_dataframe()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-11", - "metadata": {}, - "outputs": [], - "source": [ - "# uHEV reduction in fuel usage\n", - "fuel_uhev_mj = df_uhev[\"veh.pt_type.HEV.fc.history.energy_fuel_joules\"][-1] / 1e6\n", - "gge_uhev_gal = fuel_uhev_mj / MJ_PER_GGE\n", - "fuel_economy_uhev_mpg = distance_mi / gge_uhev_gal\n", - "\n", - "percent_reduction = (fuel_mj - fuel_uhev_mj) * 100.0 / fuel_mj\n", - "\n", - "print(f\"Conventional Vehicle Fuel Economy: {fuel_economy_mpg} mpg\")\n", - "print(f\"Micro HEV Fuel Economy : {fuel_economy_uhev_mpg} mpg\")\n", - "print(f\"Stop/Start Reduction in Fuel Usage (uHEV): {percent_reduction} %\")" - ] - }, - { - "cell_type": "markdown", - "id": "cell-12", - "metadata": {}, - "source": [ - "## Visualize Results\n", - "\n", - "The following plots compare fuel converter behavior between the runs." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-13", - "metadata": {}, - "outputs": [], - "source": [ - "def plot_fc_pwr(df: pd.DataFrame, df_ss: pd.DataFrame, is_hev: bool = False) -> tuple[Figure, Axes]:\n", - " \"\"\"Plot fuel converter powers.\"\"\"\n", - " num_subplots = 4 if is_hev else 3\n", - " fig, ax = plt.subplots(num_subplots, 1, sharex=True, figsize=(10, 9))\n", - " title_postfix = \" (uHEV)\" if is_hev else \"\"\n", - " plt.suptitle(\"Fuel Converter Power\" + title_postfix)\n", - " tag = \"HEV\" if is_hev else \"Conv\"\n", - "\n", - " ax[0].set_prop_cycle(get_paired_cycler())\n", - " ax[0].plot(\n", - " df[\"cyc.time_seconds\"],\n", - " (\n", - " df[\"veh.pt_type.Conv.fc.history.pwr_prop_watts\"]\n", - " + df[\"veh.pt_type.Conv.fc.history.pwr_aux_watts\"]\n", - " )\n", - " / 1e3,\n", - " label=\"f3 shaft\",\n", - " )\n", - " ax[0].plot(\n", - " df_ss[\"cyc.time_seconds\"],\n", - " (\n", - " df_ss[f\"veh.pt_type.{tag}.fc.history.pwr_prop_watts\"]\n", - " + df_ss[f\"veh.pt_type.{tag}.fc.history.pwr_aux_watts\"]\n", - " )\n", - " / 1e3,\n", - " label=\"f3 shaft (ss)\",\n", - " )\n", - " ax[0].set_ylabel(\"FC Power [kW]\")\n", - " ax[0].legend()\n", - "\n", - " ax[1].set_prop_cycle(get_paired_cycler())\n", - " ax[1].plot(\n", - " df[\"cyc.time_seconds\"],\n", - " df[\"veh.pt_type.Conv.fc.history.pwr_fuel_watts\"] / 1e3,\n", - " label=\"f3 fuel\",\n", - " )\n", - " ax[1].plot(\n", - " df_ss[\"cyc.time_seconds\"],\n", - " df_ss[f\"veh.pt_type.{tag}.fc.history.pwr_fuel_watts\"] / 1e3,\n", - " label=\"f3 fuel (ss)\",\n", - " )\n", - " ax[1].set_ylabel(\"FC Power [kW]\")\n", - " ax[1].legend()\n", - "\n", - " ax[2].set_prop_cycle(get_paired_cycler())\n", - " ax[2].plot(\n", - " df[\"cyc.time_seconds\"],\n", - " df[\"veh.history.speed_ach_meters_per_second\"],\n", - " label=\"f3\",\n", - " )\n", - " ax[2].plot(\n", - " df_ss[\"cyc.time_seconds\"],\n", - " df_ss[\"veh.history.speed_ach_meters_per_second\"],\n", - " label=\"f3 (ss)\",\n", - " )\n", - " ax[2].legend()\n", - " ax[2].set_xlabel(\"Time [s]\")\n", - " ax[2].set_ylabel(\"Ach Speed [m/s]\")\n", - " x_min, x_max = ax[2].get_xlim()[0], ax[2].get_xlim()[1]\n", - " x_max = (x_max - x_min) * 1.15\n", - " ax[2].set_xlim([x_min, x_max])\n", - "\n", - " if is_hev:\n", - " ax[3].set_prop_cycle(get_uni_cycler())\n", - " ax[3].plot(\n", - " df_ss[\"cyc.time_seconds\"],\n", - " df_ss[\"veh.pt_type.HEV.res.history.soc\"],\n", - " label=\"soc\",\n", - " )\n", - " ax[3].legend()\n", - " ax[3].set_xlabel(\"Time [s]\")\n", - " ax[3].set_ylabel(\"SOC\")\n", - " x_min, x_max = ax[3].get_xlim()[0], ax[3].get_xlim()[1]\n", - " x_max = (x_max - x_min) * 1.15\n", - " ax[3].set_xlim([x_min, x_max])\n", - "\n", - " plt.tight_layout()\n", - " if SAVE_FIGS:\n", - " plt.savefig(Path(\"./plots/fc_pwr.svg\"))\n", - " if SHOW_PLOTS:\n", - " plt.show()\n", - "\n", - " return fig, ax" - ] - }, - { - "cell_type": "markdown", - "id": "cell-14", - "metadata": {}, - "source": [ - "Fuel converter shaft power, fuel power, and achieved speed for the\n", - "baseline and stop/start runs. During stops, the stop/start run's fuel\n", - "power drops to zero while the baseline continues to use idle fuel." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-15", - "metadata": {}, - "outputs": [], - "source": [ - "fig, ax = plot_fc_pwr(df, df_ss)" - ] - }, - { - "cell_type": "markdown", - "id": "cell-16", - "metadata": {}, - "source": [ - "The same comparison for the micro hybrid, with battery state of charge\n", - "in the fourth panel." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-17", - "metadata": {}, - "outputs": [], - "source": [ - "fig2, ax2 = plot_fc_pwr(df, df_uhev, is_hev=True)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-18", - "metadata": {}, - "outputs": [], - "source": [ - "def plot_engine_on_flags(df: pd.DataFrame, df_ss: pd.DataFrame, is_hev: bool = False):\n", - " \"\"\"Plot engine flags.\"\"\"\n", - " if not is_hev:\n", - " return\n", - " fig, ax = plt.subplots(2, 1, sharex=True, figsize=(10, 9))\n", - " plt.suptitle(\"Fuel Converter On Logic\")\n", - " ax[0].set_prop_cycle(get_paired_cycler())\n", - " ax[0].plot(\n", - " df_ss[\"cyc.time_seconds\"],\n", - " df_ss[\"veh.pt_type.HEV.pt_cntrl.StopStart.history.vehicle_not_stopped\"],\n", - " label=\"not stopped\",\n", - " )\n", - " ax[0].legend()\n", - "\n", - " ax[1].set_prop_cycle(get_paired_cycler())\n", - " ax[1].plot(\n", - " df[\"cyc.time_seconds\"],\n", - " df[\"veh.history.speed_ach_meters_per_second\"],\n", - " label=\"f3\",\n", - " )\n", - " ax[1].plot(\n", - " df_ss[\"cyc.time_seconds\"],\n", - " df_ss[\"veh.history.speed_ach_meters_per_second\"],\n", - " label=\"f3 (ss)\",\n", - " )\n", - " ax[1].legend()\n", - " ax[1].set_xlabel(\"Time [s]\")\n", - " ax[1].set_ylabel(\"Ach Speed [m/s]\")\n", - " x_min, x_max = ax[1].get_xlim()[0], ax[1].get_xlim()[1]\n", - " x_max = (x_max - x_min) * 1.15\n", - " ax[1].set_xlim([x_min, x_max])\n", - "\n", - " plt.tight_layout()\n", - " if SAVE_FIGS:\n", - " plt.savefig(Path(\"./plots/fc_onoff.svg\"))\n", - " if SHOW_PLOTS:\n", - " plt.show()\n", - "\n", - " return fig, ax" - ] - }, - { - "cell_type": "markdown", - "id": "cell-19", - "metadata": {}, - "source": [ - "The micro hybrid stop/start controller's `vehicle_not_stopped` flag, one\n", - "of the conditions that forces the engine on, plotted with achieved speed." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-20", - "metadata": {}, - "outputs": [], - "source": [ - "fig3, ax3 = plot_engine_on_flags(df, df_uhev, is_hev=True)" - ] - }, - { - "cell_type": "markdown", - "id": "cell-21", - "metadata": {}, - "source": [ - "*Source: `fastsim/docs/demo_scripts/demo_stop_start.py`*" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "name": "python" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/docs/demo_notebooks/demo_trace_miss.ipynb b/docs/demo_notebooks/demo_trace_miss.ipynb deleted file mode 100644 index 3d82ec8e8..000000000 --- a/docs/demo_notebooks/demo_trace_miss.ipynb +++ /dev/null @@ -1,232 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "cell-0", - "metadata": {}, - "source": [ - "# Trace Miss Correction\n", - "\n", - "This demo shows how `SimParams` can be configured to handle trace miss\n", - "events, where the vehicle cannot achieve the target speed." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-1", - "metadata": {}, - "outputs": [], - "source": [ - "import os\n", - "\n", - "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "import seaborn as sns\n", - "\n", - "import fastsim as fsim" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-2", - "metadata": {}, - "outputs": [], - "source": [ - "sns.set_theme()\n", - "\n", - "SHOW_PLOTS = os.environ.get(\"SHOW_PLOTS\", \"true\").lower() == \"true\"\n", - "SAVE_FIGS = os.environ.get(\"SAVE_FIGS\", \"false\").lower() == \"true\"" - ] - }, - { - "cell_type": "markdown", - "id": "cell-3", - "metadata": {}, - "source": [ - "## Build a Custom Cycle\n", - "\n", - "This cycle has a sharp acceleration from 0 to 8 m/s in one second,\n", - "which the vehicle cannot fully achieve (a trace miss)." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-4", - "metadata": {}, - "outputs": [], - "source": [ - "cyc_d = {\n", - " \"time_seconds\": [0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0],\n", - " \"speed_meters_per_second\": [0.0, 0.0, 8.0, 8.0, 8.0, 8.0, 8.0, 0.0, 0.0],\n", - "}\n", - "cyc = fsim.Cycle.from_pydict(cyc_d)\n", - "cyc0 = cyc.copy()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-5", - "metadata": {}, - "outputs": [], - "source": [ - "veh = fsim.Vehicle.from_resource(\"2012_Ford_Fusion.yaml\")\n", - "veh.set_save_interval(1)" - ] - }, - { - "cell_type": "markdown", - "id": "cell-6", - "metadata": {}, - "source": [ - "## Configure Trace Miss Options\n", - "\n", - "`TraceMissOptions` controls what happens when the vehicle cannot match\n", - "the target speed:\n", - "- `\"Allow\"`: allow trace miss without any correction\n", - "- `\"AllowChecked\"`: allow trace miss within error tolerance\n", - "- `\"Error\"` (default): throw error when trace miss happens\n", - "- `\"Correct\"`: correct trace miss with driver model that catches up\n", - "\n", - "`trace_miss_correct_max_steps` is the maximum number of steps in which to\n", - "re-rendezvous with the reference trace. The trajectory with the smallest\n", - "peak acceleration is chosen. Must be 2 or greater; defaults to 6." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-7", - "metadata": {}, - "outputs": [], - "source": [ - "params = fsim.SimParams.default().to_pydict()\n", - "params[\"trace_miss_opts\"] = \"Correct\"\n", - "params[\"trace_miss_correct_max_steps\"] = 6\n", - "\n", - "sd = fsim.SimDrive(veh, cyc, fsim.SimParams.from_pydict(params))\n", - "sd.walk()" - ] - }, - { - "cell_type": "markdown", - "id": "cell-8", - "metadata": {}, - "source": [ - "## Results\n", - "\n", - "Original cycle speed vs. achieved speed with trace miss correction." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-9", - "metadata": {}, - "outputs": [], - "source": [ - "if SHOW_PLOTS:\n", - " c0 = cyc0.to_pydict()\n", - " df = sd.to_dataframe()\n", - "\n", - " fig, ax = plt.subplots(figsize=(10, 4))\n", - " ax.plot(\n", - " np.array(c0[\"time_seconds\"]),\n", - " np.array(c0[\"speed_meters_per_second\"]),\n", - " label=\"Original\",\n", - " )\n", - " ax.plot(\n", - " np.array(df[\"cyc.time_seconds\"]),\n", - " np.array(df[\"veh.history.speed_ach_meters_per_second\"]),\n", - " linestyle=\"--\",\n", - " label=\"Achieved\",\n", - " )\n", - " ax.set_xlabel(\"Time [s]\")\n", - " ax.set_ylabel(\"Speed [m/s]\")\n", - " ax.set_title(\"Trace Miss Correction: Speed vs. Time\")\n", - " ax.legend()\n", - " plt.tight_layout()\n", - " plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-10", - "metadata": {}, - "outputs": [], - "source": [ - "if SHOW_PLOTS:\n", - " fig, ax = plt.subplots(figsize=(10, 4))\n", - " ax.plot(\n", - " np.array(c0[\"dist_meters\"]),\n", - " np.array(c0[\"speed_meters_per_second\"]),\n", - " label=\"Original\",\n", - " )\n", - " ax.plot(\n", - " np.array(df[\"cyc.dist_meters\"]),\n", - " np.array(df[\"veh.history.speed_ach_meters_per_second\"]),\n", - " linestyle=\"--\",\n", - " label=\"Achieved\",\n", - " )\n", - " ax.set_xlabel(\"Distance [m]\")\n", - " ax.set_ylabel(\"Speed [m/s]\")\n", - " ax.set_title(\"Trace Miss Correction: Speed vs. Distance\")\n", - " ax.legend()\n", - " plt.tight_layout()\n", - " plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cell-11", - "metadata": {}, - "outputs": [], - "source": [ - "if SHOW_PLOTS:\n", - " fig, ax = plt.subplots(figsize=(10, 4))\n", - " ax.plot(\n", - " np.array(c0[\"time_seconds\"]),\n", - " np.array(c0[\"dist_meters\"]),\n", - " label=\"Original\",\n", - " )\n", - " ax.plot(\n", - " np.array(df[\"cyc.time_seconds\"]),\n", - " np.array(df[\"cyc.dist_meters\"]),\n", - " linestyle=\"--\",\n", - " label=\"Achieved\",\n", - " )\n", - " ax.set_xlabel(\"Time [s]\")\n", - " ax.set_ylabel(\"Distance [m]\")\n", - " ax.set_title(\"Trace Miss Correction: Distance vs. Time\")\n", - " ax.legend()\n", - " plt.tight_layout()\n", - " plt.show()" - ] - }, - { - "cell_type": "markdown", - "id": "cell-12", - "metadata": {}, - "source": [ - "*Source: `fastsim/docs/demo_scripts/demo_trace_miss.py`*" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "name": "python" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/docs/demo_scripts/demo_advanced_coasting.py b/docs/demo_scripts/demo_advanced_coasting.py deleted file mode 100644 index 1f9164948..000000000 --- a/docs/demo_scripts/demo_advanced_coasting.py +++ /dev/null @@ -1,83 +0,0 @@ -""" -# CAVS: Advanced Coasting - -This Connected Automated Vehicle (CAV) demo configures coasting with -additional parameters: brake start speed, passing behavior, maximum coast -speed, and a look-ahead time horizon. -""" - -# %% -import os - -import seaborn as sns - -import sys -from pathlib import Path - -sys.path.insert(0, str(Path(__file__).resolve().parent.parent)) - -import fastsim as fsim -from plot_utils import plot_speed_by_time, plot_speed_by_dist - -# %% -sns.set_theme() - -SHOW_PLOTS = os.environ.get("SHOW_PLOTS", "true").lower() == "true" -SAVE_FIGS = os.environ.get("SAVE_FIGS", "false").lower() == "true" - -""" -## Setup -""" - -# %% -veh = fsim.Vehicle.from_resource("2012_Ford_Fusion.yaml") -veh.set_save_interval(1) - -cyc = fsim.Cycle.from_resource("udds.csv") -end_idle_duration_s = cyc.ending_idle_time_s() -cyc0 = cyc.copy() -cyc = cyc.extend_time(absolute_time_s=120.0, time_fraction=0.25) - -""" -## Configure Coasting Parameters - -These parameters control when and how the vehicle coasts: -- `coast_brake_start_speed`: speed at which mechanical braking initiates during coast -- `coast_allow_passing`: whether the coasting vehicle can pass the reference trace -- `coast_max_speed`: maximum allowable speed during coast -- `coast_time_horizon_for_adjustment`: look-ahead time for considering coast opportunities -""" - -# %% -man = fsim.Maneuver.create_from(cyc, veh.copy()) -d = man.to_pydict() -d["coast_allow"] = True -d["coast_brake_start_speed_meters_per_second"] = 8.9408 # 20 mph -d["coast_brake_accel_meters_per_second_squared"] = -2.5 -d["favor_grade_accuracy"] = True -d["coast_allow_passing"] = True -d["coast_max_speed_meters_per_second"] = 33.5280 # 75 mph -d["coast_time_horizon_for_adjustment_seconds"] = 120.0 -man = fsim.Maneuver.from_pydict(d) - -cyc = man.apply_maneuvers() -cyc = cyc.trim_ending_idle(idle_to_keep_s=end_idle_duration_s) - -# %% -sd = fsim.SimDrive(veh, cyc) -sd.walk() - -""" -## Results - -Original cycle speed vs. achieved speed with advanced coasting applied. -""" - -# %% -if SHOW_PLOTS: - c0 = cyc0.to_pydict() - df = sd.to_dataframe() - plot_speed_by_time(df, c0, title="Advanced Coasting", - save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS) - plot_speed_by_dist(df, c0, title="Advanced Coasting (distance)", - save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS) diff --git a/docs/demo_scripts/demo_basic_coasting.py b/docs/demo_scripts/demo_basic_coasting.py deleted file mode 100644 index 332a82980..000000000 --- a/docs/demo_scripts/demo_basic_coasting.py +++ /dev/null @@ -1,81 +0,0 @@ -""" -# CAVS: Basic Coasting - -This Connected Automated Vehicle (CAV) demo shows coasting behavior using -a simple speed threshold. When the vehicle reaches the threshold speed, it -coasts to a stop. -""" - -# %% -import os - -import seaborn as sns - -import sys -from pathlib import Path - -sys.path.insert(0, str(Path(__file__).resolve().parent.parent)) - -import fastsim as fsim -from plot_utils import plot_speed_by_time, plot_speed_by_dist - -# %% -sns.set_theme() - -SHOW_PLOTS = os.environ.get("SHOW_PLOTS", "true").lower() == "true" -SAVE_FIGS = os.environ.get("SAVE_FIGS", "false").lower() == "true" - -""" -## Setup - -Load a vehicle and cycle. The cycle is extended to allow extra time for -coasting delays. A copy of the original cycle is kept for comparison. -""" - -# %% -coast_speed_mps = 20.0 - -veh = fsim.Vehicle.from_resource("2012_Ford_Fusion.yaml") -veh.set_save_interval(1) - -cyc = fsim.Cycle.from_resource("udds.csv") -end_idle_duration_s = cyc.ending_idle_time_s() -cyc = cyc.extend_time(absolute_time_s=120.0, time_fraction=None) -cyc0 = cyc.copy() - -""" -## Apply Coasting Maneuver - -`Maneuver` modifies the cycle based on coasting parameters. Setting -`coast_start_speed_meters_per_second` causes the vehicle to coast to a -stop whenever it reaches that speed. -""" - -# %% -man = fsim.Maneuver.create_from(cyc, veh.copy()) -d = man.to_pydict() -d["coast_allow"] = True -d["coast_start_speed_meters_per_second"] = coast_speed_mps -man = fsim.Maneuver.from_pydict(d) - -cyc = man.apply_maneuvers() -cyc = cyc.trim_ending_idle(idle_to_keep_s=end_idle_duration_s) - -# %% -sd = fsim.SimDrive(veh, cyc) -sd.walk() - -""" -## Results - -Original cycle speed vs. achieved speed with coasting applied. -""" - -# %% -if SHOW_PLOTS: - c0 = cyc0.to_pydict() - df = sd.to_dataframe() - plot_speed_by_time(df, c0, title=f"Coasting from {coast_speed_mps} m/s", - save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS) - plot_speed_by_dist(df, c0, title=f"Coasting from {coast_speed_mps} m/s (distance)", - save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS) diff --git a/docs/demo_scripts/demo_bev.py b/docs/demo_scripts/demo_bev.py deleted file mode 100644 index 4486868e6..000000000 --- a/docs/demo_scripts/demo_bev.py +++ /dev/null @@ -1,186 +0,0 @@ -""" -# Battery Electric Vehicle Demo - -This demo simulates a Battery Electric Vehicle (BEV) over a drive cycle and -visualizes the battery and road load behavior. -""" - -# %% -import os -from pathlib import Path - -import matplotlib.pyplot as plt -import seaborn as sns - -import fastsim as fsim - -# %% -sns.set_theme() - -# if environment var `SHOW_PLOTS=false` is set, no plots are shown -SHOW_PLOTS = os.environ.get("SHOW_PLOTS", "true").lower() == "true" -# if environment var `SAVE_FIGS=true` is set, save plots -SAVE_FIGS = os.environ.get("SAVE_FIGS", "false").lower() == "true" - -""" -## Setup and Simulation - -Load a vehicle and drive cycle, configure per-step state recording, run the -simulation, and extract the results. -""" - -# %% -# load 2022 Renault Zoe from file -veh = fsim.Vehicle.from_resource("2022_Renault_Zoe_ZE50_R135.yaml") - -# Set `save_interval` at vehicle level -- cascades to all sub-components with time-varying states -veh.set_save_interval(1) - -# load cycle from file -cyc = fsim.Cycle.from_resource("udds.csv") - -# %% -# instantiate `SimDrive` simulation object -sd = fsim.SimDrive(veh, cyc) -sd.walk() - -df = sd.to_dataframe() -sd_dict = sd.to_pydict(flatten=True) - -""" -## Visualize Results - -The following plots show battery and road load behavior over the drive cycle. -""" - - -# %% -def plot_res_pwr(): - """Plot reversible energy storage powers""" - fig, ax = plt.subplots(3, 1, sharex=True, figsize=(10, 8)) - plt.suptitle("Reversible Energy Storage Power") - - ax[0].plot( - df["cyc.time_seconds"], - df["veh.pt_type.BEV.res.history.pwr_out_electrical_watts"] / 1e3, - label="electrical out", - ) - ax[0].set_ylabel("RES Power [kW]") - ax[0].legend() - - ax[1].plot( - df["cyc.time_seconds"], - df["veh.pt_type.BEV.res.history.soc"], - ) - ax[1].set_ylabel("SOC") - - ax[2].plot( - df["cyc.time_seconds"], - df["veh.history.speed_ach_meters_per_second"], - ) - ax[2].set_xlabel("Time [s]") - ax[2].set_ylabel("Ach Speed [m/s]") - - plt.tight_layout() - if SAVE_FIGS: - plt.savefig(Path("./plots/res_pwr.svg")) - if SHOW_PLOTS: - plt.show() - - return fig, ax - - -""" -Battery electrical output power and state of charge over the drive cycle. -""" - -# %% -fig, ax = plot_res_pwr() - - -# %% -def plot_res_energy(): - """Plot reversible energy storage energies""" - fig, ax = plt.subplots(3, 1, sharex=True, figsize=(10, 8)) - plt.suptitle("Reversible Energy Storage Energy") - - ax[0].plot( - df["cyc.time_seconds"], - df["veh.pt_type.BEV.res.history.energy_out_electrical_joules"] / 1e6, - label="electrical out", - ) - ax[0].set_ylabel("RES Energy [MJ]") - ax[0].legend() - - ax[1].plot( - df["cyc.time_seconds"], - df["veh.pt_type.BEV.res.history.soc"], - ) - ax[1].set_ylabel("SOC") - - ax[2].plot( - df["cyc.time_seconds"], - df["veh.history.speed_ach_meters_per_second"], - ) - ax[2].set_xlabel("Time [s]") - ax[2].set_ylabel("Ach Speed [m/s]") - - plt.tight_layout() - if SAVE_FIGS: - plt.savefig(Path("./plots/res_energy.svg")) - if SHOW_PLOTS: - plt.show() - - return fig, ax - - -""" -Cumulative battery electrical output energy and state of charge over the -drive cycle. -""" - -# %% -fig, ax = plot_res_energy() - - -# %% -def plot_road_loads(): - """Plot road loads""" - fig, ax = plt.subplots(2, 1, sharex=True, figsize=(10, 6)) - plt.suptitle("Road Loads") - - ax[0].plot( - df["cyc.time_seconds"], - df["veh.history.pwr_drag_watts"] / 1e3, - label="drag", - ) - ax[0].plot( - df["cyc.time_seconds"], - df["veh.history.pwr_rr_watts"] / 1e3, - label="rolling resistance", - ) - ax[0].set_ylabel("Power [kW]") - ax[0].legend() - - ax[1].plot( - df["cyc.time_seconds"], - df["veh.history.speed_ach_meters_per_second"], - ) - ax[1].set_xlabel("Time [s]") - ax[1].set_ylabel("Ach. Speed [m/s]") - - plt.tight_layout() - if SAVE_FIGS: - plt.savefig(Path("./plots/road_loads.svg")) - if SHOW_PLOTS: - plt.show() - - return fig, ax - - -""" -Aerodynamic drag power and rolling resistance power over the drive cycle. -""" - -# %% -fig, ax = plot_road_loads() diff --git a/docs/demo_scripts/demo_bev_thrml_cs_ca.py b/docs/demo_scripts/demo_bev_thrml_cs_ca.py deleted file mode 100644 index 76b671b41..000000000 --- a/docs/demo_scripts/demo_bev_thrml_cs_ca.py +++ /dev/null @@ -1,90 +0,0 @@ -""" -# BEV Thermal Demo: Cold Start, Cold Ambient - -This demo simulates a Battery Electric Vehicle (BEV) with thermal modeling under -cold start and cold ambient conditions, where the cabin and battery begin -at the same temperature as the surrounding air. -""" - -# %% -import os -import sys -from pathlib import Path - -import seaborn as sns - -sys.path.insert(0, str(Path(__file__).resolve().parent.parent)) - -import fastsim as fsim -from plot_utils import ( - plot_bev_hvac_pwr, - plot_bev_res_energy, - plot_bev_res_pwr, - plot_bev_temperatures, - plot_road_loads, -) - -# %% -sns.set_theme() - -SHOW_PLOTS = os.environ.get("SHOW_PLOTS", "true").lower() == "true" -SAVE_FIGS = os.environ.get("SAVE_FIGS", "false").lower() == "true" - -""" -## Setup and Simulation - -Load a thermal BEV, set cold initial temperatures for the cabin and -battery to match the cold ambient, and run the simulation. -""" - -# %% -celsius_to_kelvin = 273.15 -temp_amb_and_init = -6.7 + celsius_to_kelvin - -# load 2020 Chevrolet Bolt BEV with thermal model -veh = fsim.Vehicle.from_resource("2020 Chevrolet Bolt EV thrml.yaml") - -veh_dict = veh.to_pydict() -veh_dict["cabin"]["LumpedCabin"]["state"]["temperature_kelvin"] = temp_amb_and_init -veh_dict["pt_type"]["BEV"]["res"]["thrml"]["RESLumpedThermal"]["state"]["temperature_kelvin"] = ( - temp_amb_and_init -) -veh = fsim.Vehicle.from_pydict(veh_dict) - -veh.set_save_interval(1) - -# %% -# load cycle and set ambient temperature -cyc_dict = fsim.Cycle.from_resource("udds.csv").to_pydict() -cyc_dict["temp_amb_air_kelvin"] = [temp_amb_and_init] * len(cyc_dict["time_seconds"]) -cyc = fsim.Cycle.from_pydict(cyc_dict) - -# %% -sd = fsim.SimDrive(veh, cyc) -sd.walk() - -df = sd.to_dataframe() -sd_dict = sd.to_pydict(flatten=True) - -""" -## Visualize Results - -Battery power, energy, component temperatures, Heating, Ventilation, and -Air Conditioning (HVAC) power demand, and road loads under cold start, -cold ambient conditions. -""" - -# %% -fig_res_pwr, ax_res_pwr = plot_bev_res_pwr(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS) - -# %% -fig_res_energy, ax_res_energy = plot_bev_res_energy(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS) - -# %% -fig_temps, ax_temps = plot_bev_temperatures(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS) - -# %% -fig_hvac, ax_hvac = plot_bev_hvac_pwr(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS) - -# %% -fig, ax = plot_road_loads(df, veh, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS) diff --git a/docs/demo_scripts/demo_bev_thrml_sweep.py b/docs/demo_scripts/demo_bev_thrml_sweep.py deleted file mode 100644 index 81ab9bece..000000000 --- a/docs/demo_scripts/demo_bev_thrml_sweep.py +++ /dev/null @@ -1,365 +0,0 @@ -""" ---- -execute: - skip: true ---- - -# BEV Thermal Sweep - -This demo sweeps ambient and initial temperatures for a thermal -Battery Electric Vehicle (BEV) across Urban Dynamometer Driving -Schedule (UDDS) and Highway Fuel Economy Test (HWFET) cycles, -computing Energy Consumption Rate (ECR, kW-hr/100mi) for each -combination. -""" - -# %% -import os -from collections.abc import Hashable -from multiprocessing import Pool -from pathlib import Path -from typing import Any, cast - -import matplotlib.pyplot as plt -import numpy as np -import pandas as pd -import seaborn as sns - -import fastsim as fsim - -# %% -sns.set_theme() - -SHOW_PLOTS = os.environ.get("SHOW_PLOTS", "true").lower() == "true" -SAVE_FIGS = os.environ.get("SAVE_FIGS", "false").lower() == "true" - -""" -## Constants and Sweep Configuration - -The sweep varies ambient temperature from -7 to 40 C and initial -cabin/battery temperature from -7 to 45 C. Each combination is -simulated over both UDDS and HWFET cycles. -""" - -# %% -cyc_key = "cycle" -te_amb_key = "te_amb [*C]" -te_init_key = "te_init [*C]" -ecr_key = "ECR [kW-hr/100mi]" -udds = "udds" -hwfet = "hwfet" - -celsius_to_kelvin = 273.15 -mph_per_mps = 2.24 - -sweep_size = 10 -n_proc = 4 - -te_amb_arr_k: list[float] = [ - t + celsius_to_kelvin for t in np.linspace(-7.0, 40.0, sweep_size) -] -te_batt_and_cab_init_arr_k: list[float] = [ - t + celsius_to_kelvin for t in np.linspace(-7.0, 45.0, sweep_size) -] - -""" -## Helper Functions -""" - - -# %% -def try_walk(sd: fsim.SimDrive, loc: str) -> None: - """Wrap `walk` in try to enable context""" - try: - sd.walk() - except Exception as err: - raise Exception(f"{loc}:\n{err}") - - -def solve_row(iterrow: tuple[Hashable, pd.Series]) -> dict[str, Any]: - """Solve a single row of the DOE dataframe""" - row = iterrow[1] - if cast(int, iterrow[0]) % 500 == 0: - print() - print(fsim.utils.utilities.print_dt()) - print(row) - cyc_str = row[cyc_key] - te_amb_k = row[te_amb_key] + celsius_to_kelvin - te_init_k = row[te_init_key] + celsius_to_kelvin - cyc = fsim.Cycle.from_resource(cyc_str + ".csv") - cyc_dict = cyc.to_pydict() - cyc_dict["temp_amb_air_kelvin"] = [te_amb_k] * cyc.len() - cyc = fsim.Cycle.from_pydict(cyc_dict) - - veh = fsim.Vehicle.from_resource("2020 Chevrolet Bolt EV thrml.yaml") - veh.set_save_interval(1) - veh_dict = veh.to_pydict() - - veh_dict["pt_type"]["BEV"]["res"]["thrml"]["RESLumpedThermal"]["state"][ - "temperature_kelvin" - ] = te_init_k - veh_dict["pt_type"]["BEV"]["res"]["thrml"]["RESLumpedThermal"]["state"]["temp_prev_kelvin"] = ( - te_init_k - ) - veh_dict["cabin"]["LumpedCabin"]["state"]["temperature_kelvin"] = te_init_k - veh_dict["cabin"]["LumpedCabin"]["state"]["temp_prev_kelvin"] = te_init_k - - veh = fsim.Vehicle.from_pydict(veh_dict) - sd = fsim.SimDrive(veh, cyc, None) - try_walk(sd, f"`sd_prep`, te_amb: {te_amb_k}, te_init: {te_init_k}") - veh_dict_solved = sd.to_pydict()["veh"] - - new_row = { - cyc_key: cyc_str, - te_amb_key: te_amb_k - celsius_to_kelvin, - te_init_key: te_init_k - celsius_to_kelvin, - ecr_key: veh_dict_solved["pt_type"]["BEV"]["res"]["state"]["energy_out_chemical_joules"] - / 1_000 - / 3_600 - / (veh_dict_solved["state"]["dist_meters"] / 1e3 / 1.61) - * 100.0, - "sd": sd.to_pydict(), - } - - return new_row - - -""" -## Build and Run Sweep - -Build a full factorial Design of Experiments (DOE) across cycles, ambient temperatures, and -initial temperatures, then solve each combination. Results are filtered -to feasible combinations based on ambient/initial temperature proximity. -""" - - -# %% -def setup_sweep() -> pd.DataFrame: - """Set up full factorial of ambient and initial conditions""" - res_list = [] - for cyc_str in [udds, hwfet]: - for te_amb_k in te_amb_arr_k: - for te_init_k in te_batt_and_cab_init_arr_k: - new_row = { - cyc_key: cyc_str, - te_amb_key: te_amb_k - celsius_to_kelvin, - te_init_key: te_init_k - celsius_to_kelvin, - } - res_list.append(new_row) - - return pd.DataFrame(res_list) - - -def sweep(df: pd.DataFrame, n_proc: int | None) -> tuple[pd.DataFrame, pd.DataFrame]: - """Sweep ambient and initial conditions, returning all and feasible results""" - if n_proc is not None: - with Pool(n_proc) as pool: - res_list = pool.map(solve_row, df.iterrows()) - else: - res_list = [solve_row(row) for row in df.iterrows()] - - df_res = pd.DataFrame(res_list) - - res_list_feasible = [] - for i, row in df_res.iterrows(): - te_amb_k = row[te_amb_key] + celsius_to_kelvin - te_init_k = row[te_init_key] + celsius_to_kelvin - feasible = ( - ((te_init_k - celsius_to_kelvin) >= 17.0) & ((te_amb_k + 5) >= te_init_k) - | - ((te_init_k - celsius_to_kelvin) <= 27.0) & ((te_amb_k - 5) <= te_init_k) - ) - if feasible: - res_list_feasible.append(row) - - df_feasible = pd.DataFrame(res_list_feasible) - - return df_res, df_feasible - - -""" -## Plot ECR Sweep Results - -ECR plotted against ambient and initial temperatures for UDDS and HWFET -cycles. Solid lines show feasible combinations, dashed lines show all -combinations. -""" - - -# %% -def plot_sweep( - df: pd.DataFrame, - df_feas: pd.DataFrame, - cyc: str, - x_var: str, - par_var_sweep: list[float], - show_plots: bool = False, - save_figs: bool = False, -) -> tuple[plt.Figure, plt.Axes]: - """Plot ECR sweep, parametric style""" - par_var = te_init_key if x_var == te_amb_key else te_amb_key - var_to_title = {te_amb_key: "Amb.", te_init_key: "Init."} - - fig, ax = plt.subplots() - if not (show_plots) and not (save_figs): - return (fig, ax) - title_str = cyc.upper() + f" ECR v. {var_to_title[x_var]} and {var_to_title[par_var]} Temp." - fig.suptitle(title_str) - for par_var_val in par_var_sweep: - df_fltrd = df[(df[par_var] == par_var_val) & (df[cyc_key] == cyc)] - df_feas_fltrd = df_feas[(df_feas[par_var] == par_var_val) & (df_feas[cyc_key] == cyc)] - line = ax.plot( - df_feas_fltrd[x_var], - df_feas_fltrd[ecr_key], - label=f"{par_var_val:.1f}", - )[0] - ax.plot( - df_fltrd[x_var], - df_fltrd[ecr_key], - color=line.get_color(), - linestyle="--", - alpha=0.5, - ) - ax.plot( - df_feas_fltrd[x_var], - df_feas_fltrd[ecr_key], - marker=".", - color=line.get_color(), - linestyle=None, - ) - ax.set_xlabel(var_to_title[x_var] + "Temp. [*C]") - ax.set_ylabel("ECR [kW-hr/100mi]") - ax.legend(title=par_var) - plt.tight_layout() - - if save_figs: - fig.savefig(Path(__file__).parent / (title_str + ".svg")) - if show_plots: - plt.show() - - return fig, ax - - -""" -## Plot Cross Effects - -Change in ECR per change in temperature (dECR/dT) for UDDS and HWFET -cycles. -""" - - -# %% -def plot_sweep_cross_effects( - df: pd.DataFrame, - df_feas: pd.DataFrame, - cyc: str, - x_var: str, - par_var_sweep: list[float], - show_plots: bool = False, - save_figs: bool = False, -) -> tuple[plt.Figure, plt.Axes]: - """Plot ECR sensitivity to temperature changes""" - par_var = te_init_key if x_var == te_amb_key else te_amb_key - var_to_title = {te_amb_key: "Amb.", te_init_key: "Init."} - - fig, ax = plt.subplots() - if not (show_plots) and not (save_figs): - return (fig, ax) - title_str = cyc.upper() + f" dECR per d{var_to_title[x_var]}" - fig.suptitle(title_str) - for par_var_val in par_var_sweep: - df_fltrd = df[(df[par_var] == par_var_val) & (df[cyc_key] == cyc)] - df_feas_fltrd = df_feas[(df_feas[par_var] == par_var_val) & (df_feas[cyc_key] == cyc)] - d_ecr_d_x_var = np.diff(df_fltrd[ecr_key]) / np.diff(df_fltrd[x_var]) - d_ecr_d_x_var_feas = np.diff(df_feas_fltrd[ecr_key]) / np.diff(df_feas_fltrd[x_var]) - line = ax.plot( - df_feas_fltrd[x_var][1:], - d_ecr_d_x_var_feas, - label=f"{par_var_val:.1f}", - )[0] - ax.plot( - df_fltrd[x_var][1:], - d_ecr_d_x_var, - color=line.get_color(), - linestyle="--", - alpha=0.5, - ) - ax.plot( - df_feas_fltrd[x_var][1:], - d_ecr_d_x_var_feas, - marker=".", - color=line.get_color(), - linestyle=None, - ) - ax.set_xlabel(var_to_title[x_var] + "Temp. [*C]") - ax.set_ylabel(f"dECR [kW-hr/100mi] / d{var_to_title[x_var]}") - ax.legend(title=par_var) - plt.tight_layout() - - if save_figs: - fig.savefig(Path(__file__).parent / (title_str + ".svg")) - if show_plots: - plt.show() - - return fig, ax - - -""" -## Cross-Effect Deltas - -Percent increase in ECR across the sweep range when one temperature -variable is held near 22-24 C. -""" - - -# %% -def print_cross_delta(df: pd.DataFrame, cycle: str, fixed_var: str) -> None: - """Print percent increase in ECR when one variable is fixed between 22-24 C""" - ecr = df[((df[fixed_var] > 22.0) & (df[fixed_var] < 24.0)) & (df[cyc_key] == cycle)][ecr_key] - ecr_delta = (ecr.max() - ecr.min()) / ecr.min() - print( - f"Percent increase between lowest and highest ECR for {cycle} and fixed {fixed_var}:" - + f" {ecr_delta:.5%}", - ) - - -# %% -if __name__ == "__main__": - df_doe = setup_sweep() - df_res, df_feasible = sweep(df_doe, n_proc) - - te_amb_step = int(len(te_amb_arr_k) / 10) if len(te_amb_arr_k) > 10 else 1 - te_amb_short_deg_c = [te_amb_k - celsius_to_kelvin for te_amb_k in te_amb_arr_k][::te_amb_step] - - te_init_step = ( - int(len(te_batt_and_cab_init_arr_k) / 10) if len(te_batt_and_cab_init_arr_k) > 10 else 1 - ) - te_init_short_deg_c = [ - te_init_k - celsius_to_kelvin for te_init_k in te_batt_and_cab_init_arr_k - ][::te_init_step] - - plot_sweep(df_res, df_feasible, udds, te_init_key, te_amb_short_deg_c, SHOW_PLOTS, SAVE_FIGS) - plot_sweep(df_res, df_feasible, udds, te_amb_key, te_init_short_deg_c, SHOW_PLOTS, SAVE_FIGS) - plot_sweep(df_res, df_feasible, hwfet, te_init_key, te_amb_short_deg_c, SHOW_PLOTS, SAVE_FIGS) - plot_sweep(df_res, df_feasible, hwfet, te_amb_key, te_init_short_deg_c, SHOW_PLOTS, SAVE_FIGS) - - plot_sweep_cross_effects( - df_res, df_feasible, udds, te_init_key, te_amb_short_deg_c, SHOW_PLOTS, SAVE_FIGS) - plot_sweep_cross_effects( - df_res, df_feasible, udds, te_amb_key, te_init_short_deg_c, SHOW_PLOTS, SAVE_FIGS) - plot_sweep_cross_effects( - df_res, df_feasible, hwfet, te_init_key, te_amb_short_deg_c, SHOW_PLOTS, SAVE_FIGS) - plot_sweep_cross_effects( - df_res, df_feasible, hwfet, te_amb_key, te_init_short_deg_c, SHOW_PLOTS, SAVE_FIGS) - - print("Cross-effect deltas w.r.t. full dataframe") - print_cross_delta(df_res, udds, te_init_key) - print_cross_delta(df_res, udds, te_amb_key) - print_cross_delta(df_res, hwfet, te_init_key) - print_cross_delta(df_res, hwfet, te_amb_key) - - print("\nCross-effect deltas w.r.t. feasible dataframe") - print_cross_delta(df_feasible, udds, te_init_key) - print_cross_delta(df_feasible, udds, te_amb_key) - print_cross_delta(df_feasible, hwfet, te_init_key) - print_cross_delta(df_feasible, hwfet, te_amb_key) diff --git a/docs/demo_scripts/demo_bev_thrml_ws_ca.py b/docs/demo_scripts/demo_bev_thrml_ws_ca.py deleted file mode 100644 index 0e95d80da..000000000 --- a/docs/demo_scripts/demo_bev_thrml_ws_ca.py +++ /dev/null @@ -1,91 +0,0 @@ -""" -# BEV Thermal Demo: Warm Start, Cold Ambient - -This demo simulates a Battery Electric Vehicle (BEV) with thermal modeling under -warm start and cold ambient conditions, where the cabin and battery begin -warm while the surrounding air is cold. -""" - -# %% -import os -import sys -from pathlib import Path - -import seaborn as sns - -sys.path.insert(0, str(Path(__file__).resolve().parent.parent)) - -import fastsim as fsim -from plot_utils import ( - plot_bev_hvac_pwr, - plot_bev_res_energy, - plot_bev_res_pwr, - plot_bev_temperatures, - plot_road_loads, -) - -# %% -sns.set_theme() - -SHOW_PLOTS = os.environ.get("SHOW_PLOTS", "true").lower() == "true" -SAVE_FIGS = os.environ.get("SAVE_FIGS", "false").lower() == "true" - -""" -## Setup and Simulation - -Load a thermal BEV, set warm initial temperatures for the cabin and -battery with a cold ambient temperature, and run the simulation. -""" - -# %% -celsius_to_kelvin = 273.15 -temp_amb = -6.7 + celsius_to_kelvin -temp_init_bat_and_cab = 22.0 + celsius_to_kelvin - -# load 2020 Chevrolet Bolt BEV with thermal model -veh = fsim.Vehicle.from_resource("2020 Chevrolet Bolt EV thrml.yaml") - -veh_dict = veh.to_pydict() -veh_dict["cabin"]["LumpedCabin"]["state"]["temperature_kelvin"] = temp_init_bat_and_cab -veh_dict["pt_type"]["BEV"]["res"]["thrml"]["RESLumpedThermal"]["state"]["temperature_kelvin"] = ( - temp_init_bat_and_cab -) -veh = fsim.Vehicle.from_pydict(veh_dict) - -veh.set_save_interval(1) - -# %% -# load cycle and set ambient temperature -cyc_dict = fsim.Cycle.from_resource("udds.csv").to_pydict() -cyc_dict["temp_amb_air_kelvin"] = [temp_amb] * len(cyc_dict["time_seconds"]) -cyc = fsim.Cycle.from_pydict(cyc_dict) - -# %% -sd = fsim.SimDrive(veh, cyc) -sd.walk() - -df = sd.to_dataframe() -sd_dict = sd.to_pydict(flatten=True) - -""" -## Visualize Results - -Battery power, energy, component temperatures, Heating, Ventilation, and -Air Conditioning (HVAC) power demand, and road loads under warm start, -cold ambient conditions. -""" - -# %% -fig_res_pwr, ax_res_pwr = plot_bev_res_pwr(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS) - -# %% -fig_res_energy, ax_res_energy = plot_bev_res_energy(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS) - -# %% -fig_temps, ax_temps = plot_bev_temperatures(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS) - -# %% -fig_hvac, ax_hvac = plot_bev_hvac_pwr(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS) - -# %% -fig, ax = plot_road_loads(df, veh, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS) diff --git a/docs/demo_scripts/demo_bev_thrml_ws_wa.py b/docs/demo_scripts/demo_bev_thrml_ws_wa.py deleted file mode 100644 index 5a43cfc1a..000000000 --- a/docs/demo_scripts/demo_bev_thrml_ws_wa.py +++ /dev/null @@ -1,91 +0,0 @@ -""" -# BEV Thermal Demo: Warm Start, Warm Ambient - -This demo simulates a Battery Electric Vehicle (BEV) with thermal modeling under -warm start and warm ambient conditions, where the cabin and battery begin -hot and the surrounding air is also hot. -""" - -# %% -import os -import sys -from pathlib import Path - -import seaborn as sns - -sys.path.insert(0, str(Path(__file__).resolve().parent.parent)) - -import fastsim as fsim -from plot_utils import ( - plot_bev_hvac_pwr, - plot_bev_res_energy, - plot_bev_res_pwr, - plot_bev_temperatures, - plot_road_loads, -) - -# %% -sns.set_theme() - -SHOW_PLOTS = os.environ.get("SHOW_PLOTS", "true").lower() == "true" -SAVE_FIGS = os.environ.get("SAVE_FIGS", "false").lower() == "true" - -""" -## Setup and Simulation - -Load a thermal BEV, set warm initial temperatures for the cabin and -battery with a warm ambient temperature, and run the simulation. -""" - -# %% -celsius_to_kelvin = 273.15 -temp_amb = 38.0 + celsius_to_kelvin -temp_init = 45.0 + celsius_to_kelvin - -# load 2020 Chevrolet Bolt BEV with thermal model -veh = fsim.Vehicle.from_resource("2020 Chevrolet Bolt EV thrml.yaml") - -veh_dict = veh.to_pydict() -veh_dict["cabin"]["LumpedCabin"]["state"]["temperature_kelvin"] = temp_init -veh_dict["pt_type"]["BEV"]["res"]["thrml"]["RESLumpedThermal"]["state"]["temperature_kelvin"] = ( - temp_init -) -veh = fsim.Vehicle.from_pydict(veh_dict) - -veh.set_save_interval(1) - -# %% -# load cycle and set ambient temperature -cyc_dict = fsim.Cycle.from_resource("udds.csv").to_pydict() -cyc_dict["temp_amb_air_kelvin"] = [temp_amb] * len(cyc_dict["time_seconds"]) -cyc = fsim.Cycle.from_pydict(cyc_dict) - -# %% -sd = fsim.SimDrive(veh, cyc) -sd.walk() - -df = sd.to_dataframe() -sd_dict = sd.to_pydict(flatten=True) - -""" -## Visualize Results - -Battery power, energy, component temperatures, Heating, Ventilation, and -Air Conditioning (HVAC) power demand, and road loads under warm start, -warm ambient conditions. -""" - -# %% -fig_res_pwr, ax_res_pwr = plot_bev_res_pwr(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS) - -# %% -fig_res_energy, ax_res_energy = plot_bev_res_energy(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS) - -# %% -fig_temps, ax_temps = plot_bev_temperatures(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS) - -# %% -fig_hvac, ax_hvac = plot_bev_hvac_pwr(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS) - -# %% -fig, ax = plot_road_loads(df, veh, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS) diff --git a/docs/demo_scripts/demo_coast_with_grade.py b/docs/demo_scripts/demo_coast_with_grade.py deleted file mode 100644 index 956f66d16..000000000 --- a/docs/demo_scripts/demo_coast_with_grade.py +++ /dev/null @@ -1,92 +0,0 @@ -""" -# CAVS: Coasting with Grade - -This Connected Automated Vehicle (CAV) demo configures coasting on a -custom cycle that includes elevation changes. The plots show both speed -and elevation for the original and modified cycles. -""" - -# %% -import os - -import seaborn as sns - -import sys -from pathlib import Path - -sys.path.insert(0, str(Path(__file__).resolve().parent.parent)) - -import fastsim as fsim -from plot_utils import plot_speed_by_time, plot_speed_by_dist - -# %% -sns.set_theme() - -SHOW_PLOTS = os.environ.get("SHOW_PLOTS", "true").lower() == "true" -SAVE_FIGS = os.environ.get("SAVE_FIGS", "false").lower() == "true" - -""" -## Build a Custom Cycle with Grade - -This cycle has two acceleration/deceleration segments: one uphill (+2% -grade) and one downhill (-2% grade). -""" - -# %% -cyc_d = { - "time_seconds": [ - 0.0, 10.0, 20.0, 30.0, 40.0, 50.0, 60.0, 70.0, 80.0, - ], - "speed_meters_per_second": [ - 0.0, 20.0, 20.0, 00.0, 00.0, 20.0, 20.0, 00.0, 00.0, - ], - "init_elev_meters": 1000.0, - "grade": [ - 0.02, 0.02, 0.02, 0.02, 0.02, -0.02, -0.02, -0.02, -0.02, - ], -} -cyc0 = fsim.Cycle.from_pydict(cyc_d) -cyc = cyc0.resample(time_step_s=1.0) - -""" -## Apply Coasting with Grade - -When `favor_grade_accuracy` is true, actual elevations are used for -grade-per-step estimates instead of the step start distance lookup. -""" - -# %% -veh = fsim.Vehicle.from_resource("2012_Ford_Fusion.yaml") -veh.set_save_interval(1) - -man = fsim.Maneuver.create_from(cyc, veh.copy()) -d = man.to_pydict() -d["coast_allow"] = True -d["coast_brake_start_speed_meters_per_second"] = 8.9408 # 20 mph -d["coast_brake_accel_meters_per_second_squared"] = -2.5 -d["favor_grade_accuracy"] = True -d["coast_allow_passing"] = True -d["coast_max_speed_meters_per_second"] = 33.5280 # 75 mph -d["coast_time_horizon_for_adjustment_seconds"] = 120.0 -man = fsim.Maneuver.from_pydict(d) - -cyc = man.apply_maneuvers() - -# %% -sd = fsim.SimDrive(veh, cyc) -sd.walk() - -""" -## Results - -Speed and elevation for the original and modified cycles. -""" - -# %% -if SHOW_PLOTS: - c0 = cyc0.to_pydict() - df = sd.to_dataframe() - plot_speed_by_time(df, c0, title="Coast with Grade", with_elevation=True, - save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS) - plot_speed_by_dist(df, c0, title="Coast with Grade (distance)", with_elevation=True, - save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS) diff --git a/docs/demo_scripts/demo_conv.py b/docs/demo_scripts/demo_conv.py deleted file mode 100644 index 5301b6f43..000000000 --- a/docs/demo_scripts/demo_conv.py +++ /dev/null @@ -1,194 +0,0 @@ -""" -# Conventional Vehicle Demo - -This demo simulates a conventional vehicle over a drive cycle and -visualizes the fuel converter and road load behavior. -""" - -# %% -import os -from pathlib import Path - -import matplotlib.pyplot as plt -import seaborn as sns - -import fastsim as fsim - -# %% -sns.set_theme() - -# if environment var `SHOW_PLOTS=false` is set, no plots are shown -SHOW_PLOTS = os.environ.get("SHOW_PLOTS", "true").lower() == "true" -# if environment var `SAVE_FIGS=true` is set, save plots -SAVE_FIGS = os.environ.get("SAVE_FIGS", "false").lower() == "true" - -""" -## Setup and Simulation - -Load a vehicle and drive cycle, configure per-step state recording, run the -simulation, and extract the results. -""" - -# %% -# load 2012 Ford Fusion from file -veh = fsim.Vehicle.from_resource("2012_Ford_Fusion.yaml") - -# Set `save_interval` at vehicle level -- cascades to all sub-components with time-varying states -veh.set_save_interval(1) - -# load cycle from file -cyc = fsim.Cycle.from_resource("udds.csv") - -# %% -# instantiate `SimDrive` simulation object -sd = fsim.SimDrive(veh, cyc) -sd.walk() - -df = sd.to_dataframe() -sd_dict = sd.to_pydict(flatten=True) - -""" -## Visualize Results - -The following plots show fuel converter and road load behavior over the -drive cycle. -""" - - -# %% -def plot_fc_pwr(): - """Plot fuel converter powers""" - fig, ax = plt.subplots(2, 1, sharex=True, figsize=(10, 6)) - plt.suptitle("Fuel Converter Power") - - ax[0].plot( - df["cyc.time_seconds"], - ( - df["veh.pt_type.Conv.fc.history.pwr_prop_watts"] - + df["veh.pt_type.Conv.fc.history.pwr_aux_watts"] - ) - / 1e3, - label="shaft", - ) - ax[0].plot( - df["cyc.time_seconds"], - df["veh.pt_type.Conv.fc.history.pwr_fuel_watts"] / 1e3, - label="fuel", - ) - ax[0].set_ylabel("FC Power [kW]") - ax[0].legend() - - ax[1].plot( - df["cyc.time_seconds"], - df["veh.history.speed_ach_meters_per_second"], - ) - ax[1].set_xlabel("Time [s]") - ax[1].set_ylabel("Ach Speed [m/s]") - - plt.tight_layout() - if SAVE_FIGS: - plt.savefig(Path("./plots/fc_pwr.svg")) - if SHOW_PLOTS: - plt.show() - - return fig, ax - - -""" -Fuel converter output power (drivetrain + auxiliary) and fuel input power over -the drive cycle. -""" - -# %% -fig, ax = plot_fc_pwr() - - -# %% -def plot_fc_energy(): - """Plot fuel converter energies""" - fig, ax = plt.subplots(2, 1, sharex=True, figsize=(10, 6)) - plt.suptitle("Fuel Converter Energy") - - ax[0].plot( - df["cyc.time_seconds"], - ( - df["veh.pt_type.Conv.fc.history.energy_prop_joules"] - + df["veh.pt_type.Conv.fc.history.energy_aux_joules"] - ) - / 1e6, - label="shaft", - ) - ax[0].plot( - df["cyc.time_seconds"], - df["veh.pt_type.Conv.fc.history.energy_fuel_joules"] / 1e6, - label="fuel", - ) - ax[0].set_ylabel("FC Energy [MJ]") - ax[0].legend() - - ax[1].plot( - df["cyc.time_seconds"], - df["veh.history.speed_ach_meters_per_second"], - ) - ax[1].set_xlabel("Time [s]") - ax[1].set_ylabel("Ach Speed [m/s]") - - plt.tight_layout() - if SAVE_FIGS: - plt.savefig(Path("./plots/fc_energy.svg")) - if SHOW_PLOTS: - plt.show() - - return fig, ax - - -""" -Cumulative fuel converter output energy (drivetrain + auxiliary) and fuel input -energy over the drive cycle. -""" - -# %% -fig, ax = plot_fc_energy() - - -# %% -def plot_road_loads(): - """Plot road loads""" - fig, ax = plt.subplots(2, 1, sharex=True, figsize=(10, 6)) - plt.suptitle("Road Loads") - - ax[0].plot( - df["cyc.time_seconds"], - df["veh.history.pwr_drag_watts"] / 1e3, - label="drag", - ) - ax[0].plot( - df["cyc.time_seconds"], - df["veh.history.pwr_rr_watts"] / 1e3, - label="rolling resistance", - ) - ax[0].set_ylabel("Power [kW]") - ax[0].legend() - - ax[1].plot( - df["cyc.time_seconds"], - df["veh.history.speed_ach_meters_per_second"], - ) - ax[1].set_xlabel("Time [s]") - ax[1].set_ylabel("Ach. Speed [m/s]") - - plt.tight_layout() - if SAVE_FIGS: - plt.savefig(Path("./plots/road_loads.svg")) - if SHOW_PLOTS: - plt.show() - - return fig, ax - - -""" -Aerodynamic drag power and rolling resistance power over the drive cycle. -""" - -# %% -fig, ax = plot_road_loads() diff --git a/docs/demo_scripts/demo_cruise_and_coast.py b/docs/demo_scripts/demo_cruise_and_coast.py deleted file mode 100644 index c39cf7756..000000000 --- a/docs/demo_scripts/demo_cruise_and_coast.py +++ /dev/null @@ -1,101 +0,0 @@ -""" -# CAVS: Combined Cruise and Coast - -This Connected Automated Vehicle (CAV) demo enables both IDM eco-cruise -and eco-coast simultaneously. The plots include a coast-mode indicator -showing when the vehicle is coasting. -""" - -# %% -import os - -import numpy as np -import seaborn as sns - -import sys -from pathlib import Path - -sys.path.insert(0, str(Path(__file__).resolve().parent.parent)) - -import fastsim as fsim -from plot_utils import plot_speed_by_time, plot_speed_by_dist - -# %% -sns.set_theme() - -SHOW_PLOTS = os.environ.get("SHOW_PLOTS", "true").lower() == "true" -SAVE_FIGS = os.environ.get("SAVE_FIGS", "false").lower() == "true" - -""" -## Setup -""" - -# %% -veh = fsim.Vehicle.from_resource("2012_Ford_Fusion.yaml") -veh.set_save_interval(1) - -cyc = fsim.Cycle.from_resource("udds.csv") -end_idle_duration_s = cyc.ending_idle_time_s() -cyc = cyc.extend_time(absolute_time_s=120.0, time_fraction=0.25) -cyc0 = cyc.copy() -vavg = cyc0.average_speed_m_per_s(while_moving=True) - -""" -## Configure Combined Parameters - -Both coasting and IDM parameters are enabled on the same `Maneuver`. -""" - -# %% -man = fsim.Maneuver.create_from(cyc, veh.copy()) -d = man.to_pydict() - -# Coasting parameters -d["coast_allow"] = True -d["coast_brake_start_speed_meters_per_second"] = 8.9408 # 20 mph -d["coast_brake_accel_meters_per_second_squared"] = -2.5 -d["favor_grade_accuracy"] = True -d["coast_allow_passing"] = True -d["coast_max_speed_meters_per_second"] = 33.5280 # 75 mph -d["coast_time_horizon_for_adjustment_seconds"] = 120.0 - -# IDM parameters -d["idm_allow"] = True -d["idm_desired_speed_meters_per_second"] = vavg -d["idm_headway_seconds"] = 1.0 -d["idm_minimum_gap_meters"] = 1.0 -d["idm_delta"] = 4.0 -d["idm_acceleration_meters_per_second_squared"] = 1.0 -d["idm_deceleration_meters_per_second_squared"] = 2.5 - -man = fsim.Maneuver.from_pydict(d) -cyc = man.apply_maneuvers() -cyc_for_coast = cyc.copy() -cyc = cyc.trim_ending_idle(idle_to_keep_s=end_idle_duration_s) - -# %% -sd = fsim.SimDrive(veh, cyc) -sd.walk() - -""" -## Results - -Original cycle speed vs. achieved speed with both cruise and coast. The -red dotted line indicates when coast mode is active. -""" - -# %% -if SHOW_PLOTS: - c0 = cyc0.to_pydict() - df = sd.to_dataframe() - is_coast = np.array(man.is_coasting()) * 5.0 - cd = cyc_for_coast.to_pydict() - dist = cd["dist_meters"] - is_coast_d = [ - np.interp(d, dist, is_coast) - for d in df["cyc.dist_meters"] - ] - plot_speed_by_time(df, c0, is_coast, title="Cruise and Coast", - save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS) - plot_speed_by_dist(df, c0, is_coast_d, title="Cruise and Coast (distance)", - save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS) diff --git a/docs/demo_scripts/demo_dfco.py b/docs/demo_scripts/demo_dfco.py deleted file mode 100644 index 8fd79dbd4..000000000 --- a/docs/demo_scripts/demo_dfco.py +++ /dev/null @@ -1,182 +0,0 @@ -""" -# Deceleration Fuel Cut-Off Demo - -This demo simulates a conventional vehicle over a drive cycle with and -without Deceleration Fuel Cut-Off (DFCO), a feature that cuts off fuel -flow while the vehicle is decelerating, and compares the resulting -fuel economy. -""" - -# %% -import os -import sys -from pathlib import Path - -import matplotlib.pyplot as plt -import pandas as pd -import seaborn as sns -from matplotlib.axes import Axes -from matplotlib.figure import Figure - -sys.path.insert(0, str(Path(__file__).resolve().parent.parent)) - -import fastsim as fsim -from plot_utils import get_paired_cycler - -# %% -sns.set_theme() - -# if environment var `SHOW_PLOTS=false` is set, no plots are shown -SHOW_PLOTS = os.environ.get("SHOW_PLOTS", "true").lower() == "true" -# if environment var `SAVE_FIGS=true` is set, save plots -SAVE_FIGS = os.environ.get("SAVE_FIGS", "false").lower() == "true" - -METERS_PER_MILE = 1609.34 -MJ_PER_GGE = 125.0 - -""" -## Setup and Simulation - -Run the same vehicle and drive cycle twice: once with DFCO disabled and -once with DFCO enabled. The `set_dfco_params` method controls whether -DFCO is enabled, the minimum speed at or above which it can activate, -and the deceleration threshold required for it to activate. -""" - -# %% -# load 2026 Chrysler Pacifica Select with DFCO disabled -veh = fsim.Vehicle.from_resource("2026_Chrysler_Pacifica_Select.yaml") -veh.set_dfco_params(enabled=False, min_dfco_speed_m_per_s=0.0, max_accel_for_dfco_m_per_s2=0.0) -veh.set_save_interval(1) - -# load cycle from file -cyc = fsim.Cycle.from_resource("udds.csv") - -# instantiate `SimDrive` simulation object and run -sd = fsim.SimDrive(veh, cyc) -sd.walk() -df = sd.to_dataframe() - -# %% -# load 2026 Chrysler Pacifica Select with DFCO enabled -veh_dfco = fsim.Vehicle.from_resource("2026_Chrysler_Pacifica_Select.yaml") -veh_dfco.set_dfco_params( - enabled=True, - # DFCO can activate at or above 11.176 m/s (25 mph) - min_dfco_speed_m_per_s=11.176, - # DFCO can activate when decelerating at 0.2 m/s^2 or more - max_accel_for_dfco_m_per_s2=-0.2, -) -veh_dfco.set_save_interval(1) - -sd_dfco = fsim.SimDrive(veh_dfco, cyc) -sd_dfco.walk() -df_dfco = sd_dfco.to_dataframe() - -""" -## Fuel Economy Comparison - -Compute fuel economy for both runs from cumulative fuel energy and cycle -distance, then print the percent reduction in fuel use from DFCO. -""" - -# %% -cyc_dict = cyc.to_pydict() -distance_m = cyc_dict["dist_meters"][-1] -distance_mi = distance_m / METERS_PER_MILE - -fuel_mj = df["veh.pt_type.Conv.fc.history.energy_fuel_joules"][-1] / 1e6 -fuel_dfco_mj = df_dfco["veh.pt_type.Conv.fc.history.energy_fuel_joules"][-1] / 1e6 - -gge_gal = fuel_mj / MJ_PER_GGE -gge_dfco_gal = fuel_dfco_mj / MJ_PER_GGE -fuel_economy_mpg = distance_mi / gge_gal -fuel_economy_dfco_mpg = distance_mi / gge_dfco_gal - -percent_reduction = (fuel_mj - fuel_dfco_mj) * 100.0 / fuel_mj - -print(f"Conventional Vehicle Fuel Economy: {fuel_economy_mpg} mpg") -print(f"Conventional w/ DFCO : {fuel_economy_dfco_mpg} mpg") -print(f"DFCO Reduction in Fuel Use (Conv): {percent_reduction} %") - -""" -## Visualize Results - -The following plot compares fuel converter behavior between the two runs. -""" - - -# %% -def plot_fc_pwr(df: pd.DataFrame, df_dfco: pd.DataFrame, tag: str = "Conv") -> tuple[Figure, Axes]: - """Plot fuel converter powers""" - fig, ax = plt.subplots(3, 1, sharex=True, figsize=(10, 8)) - plt.suptitle("Fuel Converter Power") - - ax[0].set_prop_cycle(get_paired_cycler()) - ax[0].plot( - df["cyc.time_seconds"], - ( - df["veh.pt_type.Conv.fc.history.pwr_prop_watts"] - + df["veh.pt_type.Conv.fc.history.pwr_aux_watts"] - ) - / 1e3, - label="f3 shaft", - ) - ax[0].plot( - df_dfco["cyc.time_seconds"], - ( - df_dfco[f"veh.pt_type.{tag}.fc.history.pwr_prop_watts"] - + df_dfco[f"veh.pt_type.{tag}.fc.history.pwr_aux_watts"] - ) - / 1e3, - label="f3 shaft (dfco)", - ) - ax[0].set_ylabel("FC Power [kW]") - ax[0].legend() - - ax[1].set_prop_cycle(get_paired_cycler()) - ax[1].plot( - df["cyc.time_seconds"], - df["veh.pt_type.Conv.fc.history.pwr_fuel_watts"] / 1e3, - label="f3 fuel", - ) - ax[1].plot( - df_dfco["cyc.time_seconds"], - df_dfco[f"veh.pt_type.{tag}.fc.history.pwr_fuel_watts"] / 1e3, - label="f3 fuel (dfco)", - ) - ax[1].set_ylabel("FC Power [kW]") - ax[1].legend() - - ax[2].set_prop_cycle(get_paired_cycler()) - ax[2].plot( - df["cyc.time_seconds"], - df["veh.history.speed_ach_meters_per_second"], - label="f3", - ) - ax[2].plot( - df_dfco["cyc.time_seconds"], - df_dfco["veh.history.speed_ach_meters_per_second"], - label="f3 (dfco)", - ) - ax[2].legend() - ax[2].set_xlabel("Time [s]") - ax[2].set_ylabel("Ach Speed [m/s]") - - plt.tight_layout() - if SAVE_FIGS: - plt.savefig(Path("./plots/fc_pwr.svg")) - if SHOW_PLOTS: - plt.show() - - return fig, ax - - -""" -Fuel converter shaft power, fuel power, and achieved speed for the baseline -and DFCO runs. During decelerations above the minimum DFCO speed, the DFCO -run's fuel power drops to zero while the baseline continues to use idle fuel. -""" - -# %% -fig, ax = plot_fc_pwr(df, df_dfco) diff --git a/docs/demo_scripts/demo_drive_cycle.py b/docs/demo_scripts/demo_drive_cycle.py deleted file mode 100644 index 879f89ab3..000000000 --- a/docs/demo_scripts/demo_drive_cycle.py +++ /dev/null @@ -1,173 +0,0 @@ -""" -# What Is a Drive Cycle? - -A drive cycle is time series data that describes how a vehicle is driven. -At minimum, it includes speed over time, but can also include -road grade, ambient air temperature, or other time-varying quantities. - -FASTSim simulates a vehicle model over each time step of the drive cycle -to compute the vehicle's response, including speed, acceleration, and power demand. - -""" - -""" -## Loading a Drive Cycle from Resources - -This example uses HWFET (Highway Fuel Economy Test), a regulatory drive -cycle used to evaluate highway fuel economy. - -For more information on HWFET and other regulatory drive cycles, see: -https://www.epa.gov/vehicle-and-fuel-emissions-testing/dynamometer-drive-schedules - -The NLR DriveCAT page has a variety of cycles available for download as well: -https://www.nlr.gov/transportation/drive-cycle-tool -""" -# %% -import fastsim -cyc = fastsim.Cycle.from_resource("hwfet.csv") - -""" -A full list of drive cycles available in FASTSim's resources can be printed: -""" - -# %% -fastsim.Cycle.list_resources() - -""" -## Visualizing a Drive Cycle - -FASTSim has convenience functions for visualizing drive cycles. -""" -# %% -# Default: x=`time_seconds`, y=`speed_meters_per_second` -fig = cyc.plot() - -# Try also: -# - cyc.plot(x="dist_meters") -# - cyc.plot(y="grade") -# - cyc.plot(x="dist_meters", y="grade") - -# %% -""" -In FASTSim, drive cycles represent all data that vary over time. - -The following are inputs to FASTSim drive cycles: -- Time - - `time_seconds` -- Vehicle speed - - `speed_meters_per_second` -- Road grade - - `grade` -- Ambient air temperature - - `temp_amb_air_kelvin` - - Only affects thermal vehicle models - -FASTSim automatically derives the following from a drive cycle: -- Distance - - `dist_meters` - - Accumulated from vehicle speed -- Elevation - - `elev_meters` - - Accumulated from grade and distance - - Initial elevation - - `init_elev_meters` defaults to 121.92 m (400 ft) -""" - -""" -## Defining Custom Drive Cycles - -Drive cycles can be loaded from a variety of file types: -- `.csv` CSV files (like the above example) -- `.json` JSON files -- `.msgpack` MessagePack files -- `.toml` TOML files -- `.yaml` YAML files - -Here is a small example of a custom drive cycle file: - -`custom_cycle.csv` -```csv -time_seconds,speed_meters_per_second,grade -0,0,0 -1,0,0 -2,0,0 -3,0,0 -4,0,0 -5,0.5,0 -6,0.75,0 -7,1,0 -8,1.25,0 -9,1.5,0 -10,1.75,0 -11,2,0 -12,3,0 -13,4,0 -14,6,0 -15,8,0 -16,10,0 -17,12,0 -18,14,0 -19,16,0 -20,14,0 -21,12,0 -22,10,0 -23,8,0 -24,6,0 -25,4,0 -26,2,0 -27,0,0 -28,0,0 -29,0,0 -30,0,0 -``` - -To load this, you can use `fastsim.Cycle.from_file`: - -```python -cyc_custom = fastsim.Cycle.from_file("custom_cycle.csv") -``` - -""" - -""" -## Accessing Drive Cycle Fields at Runtime - -Drive cycle fields can be accessed at runtime by converting the `Cycle` object to a Python dictionary. -Each key corresponds to a field name, and many values are lists of data points over time. - -""" - -# %% -# Convert a Cycle to a Python dictionary -cyc_dict = cyc.to_pydict() -print(cyc_dict.keys()) -print(cyc_dict) - -# %% -# Iterate over the time, speed, and grade fields and print them -# Limit to 10 values -for time, speed, grade in list(zip(cyc_dict["time_seconds"], cyc_dict["speed_meters_per_second"], cyc_dict["grade"]))[:10]: - print(f"Time [s]: {time}, Speed [m/s]: {speed}, Grade: {grade}") -print("...") - -""" -## Editing Drive Cycle Fields at Runtime -""" - -# %% -# Modify the speed field (double the speed) in the drive cycle dictionary -cyc_dict["speed_meters_per_second"] = [s * 2 for s in cyc_dict["speed_meters_per_second"]] -print("Updated speed [m/s]: ", cyc_dict["speed_meters_per_second"][:10]) - -# Modify the ambient temperature to be 22 °C -cyc_dict["temp_amb_air_kelvin"] = [22 + 273.15] * len(cyc_dict["temp_amb_air_kelvin"]) -print("Updated ambient temperature [K]: ", cyc_dict["temp_amb_air_kelvin"][:10]) -""" -After making changes to the cycle dictionary, be sure to convert it back to a FASTSim `Cycle` before using it in simulation. -""" - -# %% -# Convert the cycle dictionary back into a FASTSim Cycle -cyc = fastsim.Cycle.from_pydict(cyc_dict) - -# %% diff --git a/docs/demo_scripts/demo_eco_cruise.py b/docs/demo_scripts/demo_eco_cruise.py deleted file mode 100644 index 98b0e651f..000000000 --- a/docs/demo_scripts/demo_eco_cruise.py +++ /dev/null @@ -1,86 +0,0 @@ -""" -# CAVS: Eco-Cruise (IDM) - -This Connected Automated Vehicle (CAV) demo uses the Intelligent Driver -Model (IDM) to adjust the vehicle's speed profile toward a desired target -speed. -""" - -# %% -import os - -import seaborn as sns - -import sys -from pathlib import Path - -sys.path.insert(0, str(Path(__file__).resolve().parent.parent)) - -import fastsim as fsim -from plot_utils import plot_speed_by_time, plot_speed_by_dist - -# %% -sns.set_theme() - -SHOW_PLOTS = os.environ.get("SHOW_PLOTS", "true").lower() == "true" -SAVE_FIGS = os.environ.get("SAVE_FIGS", "false").lower() == "true" - -""" -## Setup -""" - -# %% -veh = fsim.Vehicle.from_resource("2012_Ford_Fusion.yaml") -veh.set_save_interval(1) - -cyc = fsim.Cycle.from_resource("udds.csv") -end_idle_duration_s = cyc.ending_idle_time_s() -cyc0 = cyc.copy() -cyc = cyc.extend_time(absolute_time_s=240.0, time_fraction=0.3) - -vavg = cyc0.average_speed_m_per_s(while_moving=True) - -""" -## Configure IDM Parameters - -IDM parameters: -- `idm_desired_speed`: desired speed (here set to the cycle's moving average) -- `idm_headway`: headway time desired to vehicle in front -- `idm_minimum_gap`: minimum desired gap between vehicle and lead vehicle -- `idm_delta`: IDM delta parameter -- `idm_acceleration` / `idm_deceleration`: IDM acceleration and deceleration parameters -""" - -# %% -man = fsim.Maneuver.create_from(cyc, veh.copy()) -d = man.to_pydict() -d["idm_allow"] = True -d["idm_desired_speed_meters_per_second"] = vavg -d["idm_headway_seconds"] = 1.0 -d["idm_minimum_gap_meters"] = 1.0 -d["idm_delta"] = 4.0 -d["idm_acceleration_meters_per_second_squared"] = 1.0 -d["idm_deceleration_meters_per_second_squared"] = 2.5 -man = fsim.Maneuver.from_pydict(d) - -cyc = man.apply_maneuvers() -cyc = cyc.trim_ending_idle(idle_to_keep_s=end_idle_duration_s) - -# %% -sd = fsim.SimDrive(veh, cyc) -sd.walk() - -""" -## Results - -Original cycle speed vs. achieved speed with IDM eco-cruise applied. -""" - -# %% -if SHOW_PLOTS: - c0 = cyc0.to_pydict() - df = sd.to_dataframe() - plot_speed_by_time(df, c0, title="Eco-Cruise (IDM)", - save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS) - plot_speed_by_dist(df, c0, title="Eco-Cruise (IDM, distance)", - save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS) diff --git a/docs/demo_scripts/demo_getting_started.py b/docs/demo_scripts/demo_getting_started.py deleted file mode 100644 index 04e021a9b..000000000 --- a/docs/demo_scripts/demo_getting_started.py +++ /dev/null @@ -1,239 +0,0 @@ -""" -# Getting Started - -This is an interactive demonstration of FASTSim. Developed by the National -Laboratory of the Rockies (NLR), FASTSim provides extremely fast and accurate -estimates of powertrain performance and fuel (or electricity) consumption for -a wide variety of vehicle types. This page walks through the core workflow: -loading a vehicle, loading a drive cycle, running a simulation, and working -with the results. - -## Key Concepts - -A FASTSim simulation is built on three main components: - -- `fastsim.Vehicle`: An object defining the vehicle's physical specifications, - including the powertrain configuration, mass, aerodynamic drag, component efficiencies, and more. -- `fastsim.Cycle`: A drive cycle, essentially a velocity vs. time profile - (e.g. EPA regulatory cycles such as UDDS/HWFET, or custom telematics-derived data). - Drive cycles define how the vehicle moves and the conditions under which it operates. -- `fastsim.SimDrive`: The solver that combines a `Vehicle` and a `Cycle`, - calculating the flow of power and energy consumption at every time step. - -The line below imports FASTSim in Python: -""" - -# %% -import fastsim - -""" -## Loading a Vehicle - -`Vehicle.from_resource` loads one of the vehicle models bundled with FASTSim. -The full list of bundled vehicles can be printed: -""" - -# %% -fastsim.Vehicle.list_resources() - -""" -This example uses the conventional 2012 Ford Fusion. After loading, a few -key parameters can be read from the vehicle dictionary: -""" - -# %% -veh = fastsim.Vehicle.from_resource("2012_Ford_Fusion.yaml") - -veh_dict = veh.to_pydict() -print(f"Vehicle loaded: {veh_dict['name']}") -print(f"Vehicle mass: {veh_dict['mass_kilograms']:.1f} kg") -print(f"Drag coefficient: {veh_dict['chassis']['drag_coef']}") - -""" -`save_interval` controls how often the vehicle records its internal state to -history vectors. A value of 1 records every time step, which is what we want -for plotting results. -""" - -# %% -veh.set_save_interval(1) - -""" -## Loading a Drive Cycle - -`Cycle.from_resource` loads a default drive cycle in the FASTSim package -called the Urban Dynamometer Driving Schedule, or "UDDS". The UDDS is one of -several -[EPA regulatory cycles](https://www.epa.gov/vehicle-and-fuel-emissions-testing/dynamometer-drive-schedules) -used to test vehicle fuel economy. UDDS is also referred to as the "city" -test. Below the cycle is plotted as target vehicle speed vs. time. - -For a deeper look at drive cycles, including custom cycles and editing cycle -data, see [What Is a Drive Cycle?](demo_drive_cycle.ipynb). -""" - -# %% -cyc = fastsim.Cycle.from_resource("udds.csv") -fig = cyc.plot() - -""" -## Running the Simulation - -`SimDrive` combines a vehicle and a cycle, and `walk()` runs the simulation -from start to finish. -""" - -# %% -sd = fastsim.SimDrive(veh, cyc) -sd.walk() - -""" -## Inspecting Results - -The `SimDrive` object contains the inputs, and after the `walk()` method is -called, which runs the simulation, it also contains the resulting time-series -data from the simulated vehicle over the provided drive cycle. You can -explore these data to understand exactly how the vehicle is performing. -`to_dataframe()` returns the results as a dataframe: -""" - -# %% -df = sd.to_dataframe(pandas=True) -print(f"{len(df)} time steps, {len(df.columns)} columns. A few examples:") -print(df.columns.tolist()[:5]) - -""" -A common visualization is achieved speed vs. time. This attribute is called -"achieved speed" because it is possible that a vehicle is not able to meet -the provided drive cycle. The two lines should overlap almost exactly for a -vehicle with enough power to follow the trace. -""" - -# %% -import plotly.graph_objects as go - -fig = go.Figure() -fig.add_trace(go.Scatter( - x=df["cyc.time_seconds"], - y=df["cyc.speed_meters_per_second"], - name="Target", - line={"dash": "dash"}, -)) -fig.add_trace(go.Scatter( - x=df["cyc.time_seconds"], - y=df["veh.history.speed_ach_meters_per_second"], - name="Achieved", -)) -fig.update_layout(xaxis_title="Time [s]", yaxis_title="Speed [m/s]") -fig.show() - -""" -Fuel power flowing into the engine shows when the vehicle is working hardest -over the cycle: -""" - -# %% -import plotly.express as px - -fig = px.line( - x=df["cyc.time_seconds"], - y=df["veh.pt_type.Conv.fc.history.pwr_fuel_watts"] / 1e3, -) -fig.update_layout(xaxis_title="Time [s]", yaxis_title="Fuel Power [kW]") -fig.show() - -""" -## Calculating Fuel Economy - -FASTSim reports energy in SI units, so fuel economy is calculated from -cumulative fuel energy and distance. This example converts fuel energy to -gallons of gasoline equivalent using the conventional 33.7 kWh per gallon. -""" - -# %% -KWH_PER_GGE = 33.7 -METERS_PER_MILE = 1609.34 - - -def mpg_from_sim(sd) -> float: - """Compute miles per gallon gasoline equivalent from a solved SimDrive.""" - sd_dict = sd.to_pydict(flatten=True) - fuel_kwh = sd_dict["veh.pt_type.Conv.fc.state.energy_fuel_joules"] / 3.6e6 - miles = sd_dict["veh.state.dist_meters"] / METERS_PER_MILE - return miles / (fuel_kwh / KWH_PER_GGE) - - -mpg = mpg_from_sim(sd) -print(f"Fuel economy over UDDS: {mpg:.1f} mpg") - -""" -One common question is: **"Why is the MPG from FASTSim higher than what I see -on a car's window sticker?"** FASTSim simulations, by default, provide "raw" -or "unadjusted" fuel economy. This is equivalent to what a vehicle achieves -on a chassis dynamometer in a laboratory setting under controlled conditions, -which is how vehicles are actually tested to measure fuel economy. The EPA -applies a set of "downward adjustments" (often around 10-30%) to laboratory -results to better reflect real-world driving for the window sticker. See -[Comparing Simulations to Label Fuel Economy](../demo_notebooks/demo_label_fe.ipynb) -for how FASTSim reproduces window sticker values. - -## Modifying Vehicle Parameters - -One common use of FASTSim is to explore various vehicle designs and -configurations and the subsequent impacts on fuel consumption. Let's start -with a simple example that modifies the vehicle mass. - -We will: -1. Create a "Heavy" version of the vehicle. -2. Re-run the simulation. -3. Compare the results. - -Vehicle parameters can be edited by converting the vehicle to a dictionary, -changing values, and converting back. -""" - -# %% -veh_dict_heavy = veh.to_pydict() -veh_dict_heavy["mass_kilograms"] += 800.0 -veh_heavy = fastsim.Vehicle.from_pydict(veh_dict_heavy) -veh_heavy.set_save_interval(1) - -sd_heavy = fastsim.SimDrive(veh_heavy, cyc) -sd_heavy.walk() - -mpg_heavy = mpg_from_sim(sd_heavy) -print(f"Original mass: {veh_dict['mass_kilograms']:.0f} kg -> {mpg:.1f} mpg") -print(f"Heavy mass: {veh_dict_heavy['mass_kilograms']:.0f} kg -> {mpg_heavy:.1f} mpg") -print(f"Fuel economy change: {(mpg_heavy - mpg) / mpg * 100:.1f}%") - -""" -Let's visualize the difference in power demand. -""" - -# %% -df_heavy = sd_heavy.to_dataframe(pandas=True) - -fig = go.Figure() -fig.add_trace(go.Scatter( - x=df["cyc.time_seconds"], - y=df["veh.pt_type.Conv.fc.history.pwr_fuel_watts"] / 1e3, - name="Original", -)) -fig.add_trace(go.Scatter( - x=df_heavy["cyc.time_seconds"], - y=df_heavy["veh.pt_type.Conv.fc.history.pwr_fuel_watts"] / 1e3, - name="With 800 kg payload", -)) -fig.update_layout(xaxis_title="Time [s]", yaxis_title="Fuel Power [kW]") -fig.show() - -""" -## Where to Go Next - -- [What Is a Drive Cycle?](demo_drive_cycle.ipynb) covers loading, building, - and editing drive cycles, including road grade. -- [Vehicles in FASTSim](../content/vehicle.md) describes the vehicle model - hierarchy in more depth. -- [What is a SimDrive Object?](../content/simdrive.md) explains the - simulation object and its parameters. -""" diff --git a/docs/demo_scripts/demo_hev.py b/docs/demo_scripts/demo_hev.py deleted file mode 100644 index 7333c5925..000000000 --- a/docs/demo_scripts/demo_hev.py +++ /dev/null @@ -1,328 +0,0 @@ -""" -# Hybrid Electric Vehicle Demo - -This demo simulates a Hybrid Electric Vehicle (HEV) over a drive cycle and -visualizes the fuel converter, battery, and road load behavior. -""" - -# %% -import os -from pathlib import Path - -import matplotlib.pyplot as plt -import seaborn as sns - -import fastsim as fsim - -# %% -sns.set_theme() - -# if environment var `SHOW_PLOTS=false` is set, no plots are shown -SHOW_PLOTS = os.environ.get("SHOW_PLOTS", "true").lower() == "true" -# if environment var `SAVE_FIGS=true` is set, save plots -SAVE_FIGS = os.environ.get("SAVE_FIGS", "false").lower() == "true" - -""" -## Setup and Simulation - -Load a vehicle and drive cycle, configure per-step state recording, run the -simulation, and extract the results. -""" - -# %% -# load 2016 Toyota Prius Two from file -veh = fsim.Vehicle.from_resource("2016_TOYOTA_Prius_Two.yaml") - -# Set `save_interval` at vehicle level -- cascades to all sub-components with time-varying states -veh.set_save_interval(1) - -# load cycle from file -cyc = fsim.Cycle.from_resource("udds.csv") - -# %% -# instantiate `SimDrive` simulation object -sd = fsim.SimDrive(veh, cyc) -sd.walk() - -df = sd.to_dataframe() -sd_dict = sd.to_pydict(flatten=True) - -""" -## Visualize Results - -The following plots show fuel converter, battery, and road load behavior over -the drive cycle. -""" - - -# %% -def plot_fc_pwr(): - """Plot fuel converter powers""" - fig, ax = plt.subplots(3, 1, sharex=True, figsize=(10, 8)) - plt.suptitle("Fuel Converter Power") - - ax[0].plot( - df["cyc.time_seconds"], - ( - df["veh.pt_type.HEV.fc.history.pwr_prop_watts"] - + df["veh.pt_type.HEV.fc.history.pwr_aux_watts"] - ) - / 1e3, - label="shaft", - ) - ax[0].plot( - df["cyc.time_seconds"], - df["veh.pt_type.HEV.fc.history.pwr_fuel_watts"] / 1e3, - label="fuel", - ) - ax[0].set_ylabel("FC Power [kW]") - ax[0].legend() - - ax[1].plot( - df["cyc.time_seconds"], - df["veh.pt_type.HEV.res.history.soc"], - ) - ax[1].set_ylabel("SOC") - - ax[2].plot( - df["cyc.time_seconds"], - df["veh.history.speed_ach_meters_per_second"], - ) - ax[2].set_xlabel("Time [s]") - ax[2].set_ylabel("Ach Speed [m/s]") - - plt.tight_layout() - if SAVE_FIGS: - plt.savefig(Path("./plots/fc_pwr.svg")) - if SHOW_PLOTS: - plt.show() - - return fig, ax - - -""" -Fuel converter output power (drivetrain + auxiliary) and fuel input power, -with battery state of charge for context. -""" - -# %% -fig, ax = plot_fc_pwr() - - -# %% -def plot_fc_energy(): - """Plot fuel converter energies""" - fig, ax = plt.subplots(3, 1, sharex=True, figsize=(10, 8)) - plt.suptitle("Fuel Converter Energy") - - ax[0].plot( - df["cyc.time_seconds"], - ( - df["veh.pt_type.HEV.fc.history.energy_prop_joules"] - + df["veh.pt_type.HEV.fc.history.energy_aux_joules"] - ) - / 1e6, - label="shaft", - ) - ax[0].plot( - df["cyc.time_seconds"], - df["veh.pt_type.HEV.fc.history.energy_fuel_joules"] / 1e6, - label="fuel", - ) - ax[0].set_ylabel("FC Energy [MJ]") - ax[0].legend() - - ax[1].plot( - df["cyc.time_seconds"], - df["veh.pt_type.HEV.res.history.soc"], - ) - ax[1].set_ylabel("SOC") - - ax[2].plot( - df["cyc.time_seconds"], - df["veh.history.speed_ach_meters_per_second"], - ) - ax[2].set_xlabel("Time [s]") - ax[2].set_ylabel("Ach Speed [m/s]") - - plt.tight_layout() - if SAVE_FIGS: - plt.savefig(Path("./plots/fc_energy.svg")) - if SHOW_PLOTS: - plt.show() - - return fig, ax - - -""" -Cumulative fuel converter output energy (drivetrain + auxiliary) and fuel -input energy, with battery state of charge for context. -""" - -# %% -fig, ax = plot_fc_energy() - - -# %% -def plot_res_pwr(): - """Plot reversible energy storage powers""" - fig, ax = plt.subplots(3, 1, sharex=True, figsize=(10, 8)) - plt.suptitle("Battery Power") - - ax[0].plot( - df["cyc.time_seconds"], - df["veh.pt_type.HEV.res.history.pwr_out_electrical_watts"] / 1e3, - label="electrical out", - ) - ax[0].plot( - df["cyc.time_seconds"], - df["veh.pt_type.HEV.res.history.pwr_out_chemical_watts"] / 1e3, - label="chemical out", - ) - ax[0].set_ylabel("RES Power [kW]") - ax[0].legend() - - ax[1].plot(df["cyc.time_seconds"], df["veh.pt_type.HEV.res.history.soc"], label="soc") - ax[1].plot( - df["cyc.time_seconds"], - df["veh.pt_type.HEV.res.history.soc_disch_buffer"], - label="accel buffer", - alpha=0.5, - ) - ax[1].plot( - df["cyc.time_seconds"], - df["veh.pt_type.HEV.res.history.soc_regen_buffer"], - label="regen buffer", - alpha=0.5, - ) - ax[1].axhline(sd_dict["veh.pt_type.HEV.res.min_soc"], color="blue", label="min soc") - ax[1].axhline(sd_dict["veh.pt_type.HEV.res.max_soc"], color="red", label="max soc") - ax[1].set_ylabel("SOC [-]") - ax[1].legend(loc="center right") - - ax[2].plot( - df["cyc.time_seconds"], - df["veh.history.speed_ach_meters_per_second"], - ) - ax[2].set_xlabel("Time [s]") - ax[2].set_ylabel("Ach Speed [m/s]") - - plt.tight_layout() - if SAVE_FIGS: - plt.savefig(Path("./plots/battery_pwr.svg")) - if SHOW_PLOTS: - plt.show() - - return fig, ax - - -""" -Battery electrical and chemical output power, with state of charge, discharge -buffer, regen buffer, and min/max SOC limits. -""" - -# %% -fig, ax = plot_res_pwr() - - -# %% -def plot_res_energy(): - """Plot reversible energy storage energies""" - fig, ax = plt.subplots(3, 1, sharex=True, figsize=(10, 8)) - plt.suptitle("Battery Energy") - - ax[0].plot( - df["cyc.time_seconds"], - df["veh.pt_type.HEV.res.history.energy_out_electrical_joules"] / 1e6, - label="electrical out", - ) - ax[0].plot( - df["cyc.time_seconds"], - df["veh.pt_type.HEV.res.history.energy_out_chemical_joules"] / 1e6, - label="chemical out", - ) - ax[0].set_ylabel("RES Energy [MJ]") - ax[0].legend() - - ax[1].plot(df["cyc.time_seconds"], df["veh.pt_type.HEV.res.history.soc"], label="soc") - ax[1].plot( - df["cyc.time_seconds"], - df["veh.pt_type.HEV.res.history.soc_disch_buffer"], - label="accel buffer", - alpha=0.5, - ) - ax[1].plot( - df["cyc.time_seconds"], - df["veh.pt_type.HEV.res.history.soc_regen_buffer"], - label="regen buffer", - alpha=0.5, - ) - ax[1].set_ylabel("SOC [-]") - ax[1].legend(loc="center right") - - ax[2].plot( - df["cyc.time_seconds"], - df["veh.history.speed_ach_meters_per_second"], - ) - ax[2].set_xlabel("Time [s]") - ax[2].set_ylabel("Ach Speed [m/s]") - - plt.tight_layout() - if SAVE_FIGS: - plt.savefig(Path("./plots/battery_energy.svg")) - if SHOW_PLOTS: - plt.show() - - return fig, ax - - -""" -Cumulative battery electrical and chemical output energy, with state of -charge and SOC buffers. -""" - -# %% -fig, ax = plot_res_energy() - - -# %% -def plot_road_loads(): - """Plot road loads""" - fig, ax = plt.subplots(2, 1, sharex=True, figsize=(10, 6)) - plt.suptitle("Road Loads") - - ax[0].plot( - df["cyc.time_seconds"], - df["veh.history.pwr_drag_watts"] / 1e3, - label="drag", - ) - ax[0].plot( - df["cyc.time_seconds"], - df["veh.history.pwr_rr_watts"] / 1e3, - label="rolling resistance", - ) - ax[0].set_ylabel("Power [kW]") - ax[0].legend() - - ax[1].plot( - df["cyc.time_seconds"], - df["veh.history.speed_ach_meters_per_second"], - ) - ax[1].set_xlabel("Time [s]") - ax[1].set_ylabel("Ach. Speed [m/s]") - - plt.tight_layout() - if SAVE_FIGS: - plt.savefig(Path("./plots/road_loads.svg")) - if SHOW_PLOTS: - plt.show() - - return fig, ax - - -""" -Aerodynamic drag power and rolling resistance power over the drive cycle. -""" - -# %% -fig, ax = plot_road_loads() diff --git a/docs/demo_scripts/demo_hev_thrml_cs_ca.py b/docs/demo_scripts/demo_hev_thrml_cs_ca.py deleted file mode 100644 index f6286fa51..000000000 --- a/docs/demo_scripts/demo_hev_thrml_cs_ca.py +++ /dev/null @@ -1,96 +0,0 @@ -""" -# HEV Thermal Demo: Cold Start, Cold Ambient - -This demo simulates a Hybrid Electric Vehicle (HEV) with thermal modeling under -cold start and cold ambient conditions, where the cabin, battery, and -engine begin at the same temperature as the surrounding air. -""" - -# %% -import os -import sys -from pathlib import Path - -import seaborn as sns - -sys.path.insert(0, str(Path(__file__).resolve().parent.parent)) - -import fastsim as fsim -from plot_utils import ( - plot_hev_fc_energy, - plot_hev_fc_pwr, - plot_hev_res_energy, - plot_hev_res_pwr, - plot_hev_temperatures, - plot_road_loads, -) - -# %% -sns.set_theme() - -SHOW_PLOTS = os.environ.get("SHOW_PLOTS", "true").lower() == "true" -SAVE_FIGS = os.environ.get("SAVE_FIGS", "false").lower() == "true" - -""" -## Setup and Simulation - -Load a thermal HEV, set cold initial temperatures for the cabin, battery, -and engine to match the cold ambient, and run the simulation. -""" - -# %% -celsius_to_kelvin = 273.15 -temp_amb_and_init = -6.7 + celsius_to_kelvin - -# load 2021 Hyundai Sonata HEV with thermal model -veh_dict = fsim.Vehicle.from_resource( - "2021_Hyundai_Sonata_Hybrid_Blue_thrml.yaml", -).to_pydict() -veh_dict["cabin"]["LumpedCabin"]["state"]["temperature_kelvin"] = temp_amb_and_init -veh_dict["pt_type"]["HEV"]["res"]["thrml"]["RESLumpedThermal"]["state"]["temperature_kelvin"] = ( - temp_amb_and_init -) -veh_dict["pt_type"]["HEV"]["fc"]["thrml"]["FuelConverterThermal"]["state"]["temperature_kelvin"] = ( - temp_amb_and_init -) -veh = fsim.Vehicle.from_pydict(veh_dict) - -veh.set_save_interval(1) - -# %% -# load cycle and set ambient temperature -cyc_dict = fsim.Cycle.from_resource("udds.csv").to_pydict() -cyc_dict["temp_amb_air_kelvin"] = [temp_amb_and_init] * len(cyc_dict["time_seconds"]) -cyc = fsim.Cycle.from_pydict(cyc_dict) - -# %% -sd = fsim.SimDrive(veh, cyc) -sd.walk() - -df = sd.to_dataframe() -sd_dict = sd.to_pydict(flatten=True) - -""" -## Visualize Results - -Fuel converter power and energy, battery power and energy, component -temperatures, and road loads under cold start, cold ambient conditions. -""" - -# %% -fig_fc_pwr, ax_fc_pwr = plot_hev_fc_pwr(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS) - -# %% -fig_fc_energy, ax_fc_energy = plot_hev_fc_energy(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS) - -# %% -fig_res_pwr, ax_res_pwr = plot_hev_res_pwr(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS) - -# %% -fig_res_energy, ax_res_energy = plot_hev_res_energy(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS) - -# %% -fig_temps, ax_temps = plot_hev_temperatures(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS) - -# %% -fig, ax = plot_road_loads(df, veh, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS) diff --git a/docs/demo_scripts/demo_hev_thrml_ws_ca.py b/docs/demo_scripts/demo_hev_thrml_ws_ca.py deleted file mode 100644 index adf48e3f6..000000000 --- a/docs/demo_scripts/demo_hev_thrml_ws_ca.py +++ /dev/null @@ -1,99 +0,0 @@ -""" -# HEV Thermal Demo: Warm Start, Cold Ambient - -This demo simulates a Hybrid Electric Vehicle (HEV) with thermal modeling under -warm start and cold ambient conditions, where the cabin and battery begin -warm, the engine begins hot, and the surrounding air is cold. -""" - -# %% -import os -import sys -from pathlib import Path - -import seaborn as sns - -sys.path.insert(0, str(Path(__file__).resolve().parent.parent)) - -import fastsim as fsim -from plot_utils import ( - plot_hev_fc_energy, - plot_hev_fc_pwr, - plot_hev_res_energy, - plot_hev_res_pwr, - plot_hev_temperatures, - plot_road_loads, -) - -# %% -sns.set_theme() - -SHOW_PLOTS = os.environ.get("SHOW_PLOTS", "true").lower() == "true" -SAVE_FIGS = os.environ.get("SAVE_FIGS", "false").lower() == "true" - -""" -## Setup and Simulation - -Load a thermal HEV, set warm initial temperatures for the cabin and -battery, a hot initial temperature for the engine, and a cold ambient -temperature, then run the simulation. -""" - -# %% -celsius_to_kelvin = 273.15 -temp_amb = -6.7 + celsius_to_kelvin -temp_init_bat_and_cab = 22.0 + celsius_to_kelvin -temp_init_eng = 70.0 + celsius_to_kelvin - -# load 2021 Hyundai Sonata HEV with thermal model -veh_dict = fsim.Vehicle.from_resource( - "2021_Hyundai_Sonata_Hybrid_Blue_thrml.yaml", -).to_pydict() -veh_dict["cabin"]["LumpedCabin"]["state"]["temperature_kelvin"] = temp_init_bat_and_cab -veh_dict["pt_type"]["HEV"]["res"]["thrml"]["RESLumpedThermal"]["state"]["temperature_kelvin"] = ( - temp_init_bat_and_cab -) -veh_dict["pt_type"]["HEV"]["fc"]["thrml"]["FuelConverterThermal"]["state"]["temperature_kelvin"] = ( - temp_init_eng -) -veh = fsim.Vehicle.from_pydict(veh_dict) - -veh.set_save_interval(1) - -# %% -# load cycle and set ambient temperature -cyc_dict = fsim.Cycle.from_resource("udds.csv").to_pydict() -cyc_dict["temp_amb_air_kelvin"] = [temp_amb] * len(cyc_dict["time_seconds"]) -cyc = fsim.Cycle.from_pydict(cyc_dict) - -# %% -sd = fsim.SimDrive(veh, cyc) -sd.walk() - -df = sd.to_dataframe() -sd_dict = sd.to_pydict(flatten=True) - -""" -## Visualize Results - -Fuel converter power and energy, battery power and energy, component -temperatures, and road loads under warm start, cold ambient conditions. -""" - -# %% -fig_fc_pwr, ax_fc_pwr = plot_hev_fc_pwr(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS) - -# %% -fig_fc_energy, ax_fc_energy = plot_hev_fc_energy(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS) - -# %% -fig_res_pwr, ax_res_pwr = plot_hev_res_pwr(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS) - -# %% -fig_res_energy, ax_res_energy = plot_hev_res_energy(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS) - -# %% -fig_temps, ax_temps = plot_hev_temperatures(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS) - -# %% -fig, ax = plot_road_loads(df, veh, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS) diff --git a/docs/demo_scripts/demo_hev_thrml_ws_wa.py b/docs/demo_scripts/demo_hev_thrml_ws_wa.py deleted file mode 100644 index 815a5adef..000000000 --- a/docs/demo_scripts/demo_hev_thrml_ws_wa.py +++ /dev/null @@ -1,97 +0,0 @@ -""" -# HEV Thermal Demo: Warm Start, Warm Ambient - -This demo simulates a Hybrid Electric Vehicle (HEV) with thermal modeling under -warm start and warm ambient conditions, where the cabin, battery, and -engine all begin hot and the surrounding air is also hot. -""" - -# %% -import os -import sys -from pathlib import Path - -import seaborn as sns - -sys.path.insert(0, str(Path(__file__).resolve().parent.parent)) - -import fastsim as fsim -from plot_utils import ( - plot_hev_fc_energy, - plot_hev_fc_pwr, - plot_hev_res_energy, - plot_hev_res_pwr, - plot_hev_temperatures, - plot_road_loads, -) - -# %% -sns.set_theme() - -SHOW_PLOTS = os.environ.get("SHOW_PLOTS", "true").lower() == "true" -SAVE_FIGS = os.environ.get("SAVE_FIGS", "false").lower() == "true" - -""" -## Setup and Simulation - -Load a thermal HEV, set warm initial temperatures for the cabin, battery, -and engine with a warm ambient temperature, and run the simulation. -""" - -# %% -celsius_to_kelvin = 273.15 -temp_amb = 38.0 + celsius_to_kelvin -temp_init = 45.0 + celsius_to_kelvin - -# load 2021 Hyundai Sonata HEV with thermal model -veh_dict = fsim.Vehicle.from_resource( - "2021_Hyundai_Sonata_Hybrid_Blue_thrml.yaml", -).to_pydict() -veh_dict["cabin"]["LumpedCabin"]["state"]["temperature_kelvin"] = temp_init -veh_dict["pt_type"]["HEV"]["res"]["thrml"]["RESLumpedThermal"]["state"]["temperature_kelvin"] = ( - temp_init -) -veh_dict["pt_type"]["HEV"]["fc"]["thrml"]["FuelConverterThermal"]["state"]["temperature_kelvin"] = ( - temp_init -) -veh = fsim.Vehicle.from_pydict(veh_dict) - -veh.set_save_interval(1) - -# %% -# load cycle and set ambient temperature -cyc_dict = fsim.Cycle.from_resource("udds.csv").to_pydict() -cyc_dict["temp_amb_air_kelvin"] = [temp_amb] * len(cyc_dict["time_seconds"]) -cyc = fsim.Cycle.from_pydict(cyc_dict) - -# %% -sd = fsim.SimDrive(veh, cyc) -sd.walk() - -df = sd.to_dataframe() -sd_dict = sd.to_pydict(flatten=True) - -""" -## Visualize Results - -Fuel converter power and energy, battery power and energy, component -temperatures, and road loads under warm start, warm ambient conditions. -""" - -# %% -fig_fc_pwr, ax_fc_pwr = plot_hev_fc_pwr(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS) - -# %% -fig_fc_energy, ax_fc_energy = plot_hev_fc_energy(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS) - -# %% -fig_res_pwr, ax_res_pwr = plot_hev_res_pwr(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS) - -# %% -fig_res_energy, ax_res_energy = plot_hev_res_energy(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS) - -# %% -fig_temps, ax_temps = plot_hev_temperatures(df, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS) - -# %% -fig, ax = plot_road_loads(df, veh, save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS) diff --git a/docs/demo_scripts/demo_label_fe.py b/docs/demo_scripts/demo_label_fe.py deleted file mode 100644 index 41daf63e4..000000000 --- a/docs/demo_scripts/demo_label_fe.py +++ /dev/null @@ -1,3 +0,0 @@ -""" -# Comparing Simulations to Label Fuel Economy -""" diff --git a/docs/demo_scripts/demo_maneuver_intro.py b/docs/demo_scripts/demo_maneuver_intro.py deleted file mode 100644 index 7a5850908..000000000 --- a/docs/demo_scripts/demo_maneuver_intro.py +++ /dev/null @@ -1,128 +0,0 @@ -""" -# CAVS: Intro to Maneuvers - -The `Maneuver` struct applies Connected Automated Vehicle (CAV) maneuvers -to a drive cycle and returns the modified cycle. This demo walks through -the core Maneuver workflow. -""" - -# %% -import os - -import matplotlib.pyplot as plt -import seaborn as sns - -import fastsim as fsim - -# %% -sns.set_theme() - -SHOW_PLOTS = os.environ.get("SHOW_PLOTS", "true").lower() == "true" - -""" -## Creating a Maneuver - -`Maneuver.create_from` creates a Maneuver from a cycle and vehicle. -It copies chassis data from the vehicle and solver settings from -`SimParams` defaults. -""" - -# %% -veh = fsim.Vehicle.from_resource("2012_Ford_Fusion.yaml") -veh.set_save_interval(1) - -cyc = fsim.Cycle.from_resource("udds.csv") -cyc0 = cyc.copy() - -man = fsim.Maneuver.create_from(cyc, veh.copy()) - -""" -## Inspecting and Modifying Parameters - -`to_pydict()` serializes the Maneuver to a Python dictionary. -Parameters can be modified in the dictionary and then loaded back -with `Maneuver.from_pydict()`. - -The Maneuver struct has two groups of configurable parameters: - -**Coasting** (`coast_*`): controls whether and how coasting is applied -to the cycle. - -**IDM** (`idm_*`): Intelligent Driver Model, Adaptive Cruise Control -version. -""" - -# %% -d = man.to_pydict() - -print("Coasting parameters:") -for k in sorted(d): - if k.startswith("coast"): - print(f" {k}: {d[k]}") - -print("\nIDM parameters:") -for k in sorted(d): - if k.startswith("idm"): - print(f" {k}: {d[k]}") - -""" -## Applying Maneuvers - -Enable coasting and call `apply_maneuvers()` to get a modified cycle. -The returned `Cycle` can then be passed to `SimDrive` for simulation. -""" - -# %% -d["coast_allow"] = True -d["coast_start_speed_meters_per_second"] = 15.0 -man = fsim.Maneuver.from_pydict(d) - -cyc_modified = man.apply_maneuvers() - -""" -## Comparing Original and Modified Cycles - -The modified cycle deviates from the original where coasting is applied. -""" - -# %% -if SHOW_PLOTS: - c0 = cyc0.to_pydict() - cm = cyc_modified.to_pydict() - - fig, ax = plt.subplots(figsize=(10, 4)) - ax.plot(c0["time_seconds"], c0["speed_meters_per_second"], label="Original") - ax.plot(cm["time_seconds"], cm["speed_meters_per_second"], linestyle="--", label="Modified") - ax.set_xlabel("Time [s]") - ax.set_ylabel("Speed [m/s]") - ax.set_title("Original vs. Modified Cycle") - ax.legend() - plt.tight_layout() - plt.show() - -""" -## Simulating with the Modified Cycle -""" - -# %% -sd = fsim.SimDrive(veh, cyc_modified) -sd.walk() - -# %% -if SHOW_PLOTS: - df = sd.to_dataframe() - - fig, ax = plt.subplots(figsize=(10, 4)) - ax.plot(c0["time_seconds"], c0["speed_meters_per_second"], label="Original Cycle") - ax.plot( - df["cyc.time_seconds"], - df["veh.history.speed_ach_meters_per_second"], - linestyle="--", - label="Achieved Speed", - ) - ax.set_xlabel("Time [s]") - ax.set_ylabel("Speed [m/s]") - ax.set_title("Achieved Speed with Coasting Maneuver") - ax.legend() - plt.tight_layout() - plt.show() diff --git a/docs/demo_scripts/demo_microtrips.py b/docs/demo_scripts/demo_microtrips.py deleted file mode 100644 index 004cd6328..000000000 --- a/docs/demo_scripts/demo_microtrips.py +++ /dev/null @@ -1,71 +0,0 @@ -""" -# CAVS: Cycle Microtrips - -This Connected Automated Vehicle (CAV) demo extracts and plots individual -microtrips from a drive cycle. -""" - -# %% -import os - -import matplotlib.pyplot as plt -import seaborn as sns - -import sys -from pathlib import Path - -sys.path.insert(0, str(Path(__file__).resolve().parent.parent)) - -import fastsim as fsim -from plot_utils import BASE_COLORS, BASE_LINE_STYLES - -# %% -sns.set_theme() - -SHOW_PLOTS = os.environ.get("SHOW_PLOTS", "true").lower() == "true" -SAVE_FIGS = os.environ.get("SAVE_FIGS", "false").lower() == "true" - -""" -## Extract Microtrips - -`Cycle.to_microtrips` splits a drive cycle into individual microtrips. -An optional `stop_speed` parameter sets the threshold below which the -vehicle is considered stopped. -""" - -# %% -cycle = fsim.Cycle.from_resource("udds.csv") -microtrips = cycle.to_microtrips(None) - -""" -The first four microtrips from the Urban Dynamometer Driving Schedule -(UDDS) cycle. -""" - -# %% -if SHOW_PLOTS: - max_microtrips = 4 - fig, ax = plt.subplots() - num = min(max_microtrips, len(microtrips)) - for idx, mt in enumerate(microtrips): - mtd = mt.to_pydict() - color = BASE_COLORS[idx % len(BASE_COLORS)] - line = BASE_LINE_STYLES[idx % len(BASE_LINE_STYLES)] - ax.plot( - mtd["time_seconds"], - mtd["speed_meters_per_second"], - marker=".", - color=color, - linestyle=line, - label=f"#{idx + 1}", - ) - if idx >= max_microtrips: - break - ax.set_title(f"First {num + 1} Microtrips of UDDS") - ax.set_ylabel("Speed (m/s)") - ax.set_xlabel("Time (s)") - ax.legend() - fig.tight_layout() - if SAVE_FIGS: - plt.savefig(Path("./plots/microtrips.svg")) - plt.show() diff --git a/docs/demo_scripts/demo_stop_start.py b/docs/demo_scripts/demo_stop_start.py deleted file mode 100644 index f3c169ffd..000000000 --- a/docs/demo_scripts/demo_stop_start.py +++ /dev/null @@ -1,512 +0,0 @@ -""" -# Engine Stop/Start Demo - -This demo simulates a conventional vehicle over a drive cycle with and -without engine stop/start, which turns the engine off while the vehicle -is stopped, and compares the resulting fuel economy. It then converts -the vehicle to a micro hybrid electric vehicle (uHEV) with a small -battery and electric machine that supplies auxiliary loads when -feasible, including while the engine is off. -""" - -# %% -import os -import sys -from pathlib import Path - -import matplotlib.pyplot as plt -import pandas as pd -import seaborn as sns -from matplotlib.axes import Axes -from matplotlib.figure import Figure - -sys.path.insert(0, str(Path(__file__).resolve().parent.parent)) - -import fastsim as fsim -from plot_utils import get_paired_cycler, get_uni_cycler - -# %% -sns.set_theme() - -# if environment var `SHOW_PLOTS=false` is set, no plots are shown -SHOW_PLOTS = os.environ.get("SHOW_PLOTS", "true").lower() == "true" -# if environment var `SAVE_FIGS=true` is set, save plots -SAVE_FIGS = os.environ.get("SAVE_FIGS", "false").lower() == "true" - -METERS_PER_MILE = 1609.34 -MJ_PER_GGE = 125.0 - -""" -## Setup and Simulation - -Run the same vehicle and drive cycle twice: first with the default -powertrain controller, then with the stop/start controller enabled via -`use_stop_start_controller`. The stop/start controller turns the engine -off while the vehicle is stopped, subject to conditions such as a -minimum engine on time and engine warm-up temperature. -""" - -# %% -# load 2026 Chrysler Pacifica Select -veh = fsim.Vehicle.from_resource("2026_Chrysler_Pacifica_Select.yaml") -veh.set_save_interval(1) - -# load cycle from file -cyc = fsim.Cycle.from_resource("udds.csv") - -# instantiate `SimDrive` simulation object and run -sd = fsim.SimDrive(veh, cyc) -sd.walk() -df = sd.to_dataframe() - -# %% -# load 2026 Chrysler Pacifica Select with stop/start -veh_ss = fsim.Vehicle.from_resource("2026_Chrysler_Pacifica_Select.yaml") -veh_ss.use_stop_start_controller() -veh_ss.set_save_interval(1) - -sd_ss = fsim.SimDrive(veh_ss, cyc) -sd_ss.walk() -df_ss = sd_ss.to_dataframe() - -""" -## Fuel Economy Comparison - -Compute fuel economy for both runs from cumulative fuel energy and cycle -distance, then print the percent reduction in fuel use from stop/start. -""" - -# %% -cyc_dict = cyc.to_pydict() -distance_m = cyc_dict["dist_meters"][-1] -distance_mi = distance_m / METERS_PER_MILE - -fuel_mj = df["veh.pt_type.Conv.fc.history.energy_fuel_joules"][-1] / 1e6 -fuel_ss_mj = df_ss["veh.pt_type.Conv.fc.history.energy_fuel_joules"][-1] / 1e6 - -gge_gal = fuel_mj / MJ_PER_GGE -gge_ss_gal = fuel_ss_mj / MJ_PER_GGE -fuel_economy_mpg = distance_mi / gge_gal -fuel_economy_ss_mpg = distance_mi / gge_ss_gal - -percent_reduction = (fuel_mj - fuel_ss_mj) * 100.0 / fuel_mj - -print(f"Conventional Vehicle Fuel Economy: {fuel_economy_mpg} mpg") -print(f"Conventional w/ Stop/Start : {fuel_economy_ss_mpg} mpg") -print(f"Stop/Start Reduction in Fuel Usage (Conv): {percent_reduction} %") - -""" -## Micro Hybrid Conversion - -The following function converts the conventional vehicle into a micro -hybrid electric vehicle (uHEV): a vehicle with a small battery and -electric machine that support engine stop/start. The conversion keeps -the original fuel converter, fuel storage, and transmission, adds a -battery and a constant-efficiency electric machine, supplies auxiliary -loads from the battery when feasible (`AuxOnResPriority`), and uses the -hybrid stop/start powertrain controller with optional regenerative -braking. The dictionaries are written out in full to show the fields -available for tweaking. -""" - - -# %% -def conv_to_micro_hybrid( - veh: fsim.Vehicle, - res_eff: float | None = None, - res_capacity_joules: float | None = None, - em_eff: float | None = None, - em_max_pwr_w: float | None = None, - allow_regen: bool = True, -) -> fsim.Vehicle: - """Build a micro hybrid version of the Chrysler Pacifica Select.""" - # veh = fsim.Vehicle.from_resource("2026_Chrysler_Pacifica_Select.yaml") - res_eff = 0.90 if res_eff is None else res_eff - res_capacity_joules = 72_000.0 if res_capacity_joules is None else res_capacity_joules - em_eff = 0.95 if em_eff is None else em_eff - em_max_pwr_w = 5_000.0 if em_max_pwr_w is None else em_max_pwr_w - assert res_capacity_joules > 0.0 - assert res_eff > 0.0 and res_eff <= 1.0, "res_eff must be in range (0.0, 1.0]" - assert em_eff > 0.0 and em_eff <= 1.0, "em_eff must be in range (0.0, 1.0]" - veh_dict = veh.to_pydict() - res = { - "thrml": "None", - "mass_kilograms": None, - "specific_energy_joules_per_kilogram": None, - "pwr_out_max_watts": em_max_pwr_w, - "energy_capacity_joules": res_capacity_joules, - "eff_interp": { - "Constant": res_eff, - }, - "min_soc": 0.0, - "max_soc": 1.0, - "state": { - "pwr_prop_max_watts": 0.0, - "pwr_regen_max_watts": 0.0, - "pwr_disch_max_watts": 0.0, - "pwr_charge_max_watts": 0.0, - "i": 0, - "soc": 0.5, - "soc_regen_buffer": 1.0, - "soc_disch_buffer": 0.0, - "eff": 0.0, - "soh": 0.0, - "pwr_out_electrical_watts": 0.0, - "pwr_out_prop_watts": 0.0, - "pwr_aux_watts": 0.0, - "pwr_loss_watts": 0.0, - "pwr_out_chemical_watts": 0.0, - "energy_out_electrical_joules": 0.0, - "energy_out_prop_joules": 0.0, - "energy_aux_joules": 0.0, - "energy_loss_joules": 0.0, - "energy_out_chemical_joules": 0.0, - }, - "history": { - "pwr_prop_max_watts": [], - "pwr_regen_max_watts": [], - "pwr_disch_max_watts": [], - "pwr_charge_max_watts": [], - "i": [], - "soc": [], - "soc_regen_buffer": [], - "soc_disch_buffer": [], - "eff": [], - "soh": [], - "pwr_out_electrical_watts": [], - "pwr_out_prop_watts": [], - "pwr_aux_watts": [], - "pwr_loss_watts": [], - "pwr_out_chemical_watts": [], - "energy_out_electrical_joules": [], - "energy_out_prop_joules": [], - "energy_aux_joules": [], - "energy_loss_joules": [], - "energy_out_chemical_joules": [], - }, - "save_interval": 1, - } - em = { - "eff_interp_achieved": { - "data": { - "grid": [ - { - "v": 1, - "dim": [2], - "data": [0.0, 1.0], - }, - ], - "values": { - "v": 1, - "dim": [2], - "data": [em_eff, em_eff], - }, - }, - "strategy": "Linear", - "extrapolate": "Error", - }, - "eff_interp_at_max_input": { - "data": { - "grid": [ - { - "v": 1, - "dim": [2], - "data": [0.0, 1.0], - }, - ], - "values": { - "v": 1, - "dim": [2], - "data": [em_eff, em_eff], - }, - }, - "strategy": "Linear", - "extrapolate": "Error", - }, - "pwr_out_max_watts": em_max_pwr_w, - "specific_pwr_watts_per_kilogram": None, - "mass_kilograms": None, - "save_interval": 1, - "state": { - "i": 0, - "eff": 0.0, - "pwr_mech_fwd_out_max_watts": 0.0, - "eff_fwd_at_max_input": 0.0, - "pwr_mech_regen_max_watts": 0.0, - "eff_at_max_regen": 0.0, - "pwr_out_req_watts": 0.0, - "energy_out_req_joules": 0.0, - "pwr_elec_prop_in_watts": 0.0, - "energy_elec_prop_in_joules": 0.0, - "pwr_mech_prop_out_watts": 0.0, - "energy_mech_prop_out_joules": 0.0, - "pwr_mech_dyn_brake_watts": 0.0, - "energy_mech_dyn_brake_joules": 0.0, - "pwr_elec_dyn_brake_watts": 0.0, - "energy_elec_dyn_brake_joules": 0.0, - "pwr_loss_watts": 0.0, - "energy_loss_joules": 0.0, - }, - "history": { - "i": [], - "eff": [], - "pwr_mech_fwd_out_max_watts": [], - "eff_fwd_at_max_input": [], - "pwr_mech_regen_max_watts": [], - "eff_at_max_regen": [], - "pwr_out_req_watts": [], - "energy_out_req_joules": [], - "pwr_elec_prop_in_watts": [], - "energy_elec_prop_in_joules": [], - "pwr_mech_prop_out_watts": [], - "energy_mech_prop_out_joules": [], - "pwr_mech_dyn_brake_watts": [], - "energy_mech_dyn_brake_joules": [], - "pwr_elec_dyn_brake_watts": [], - "energy_elec_dyn_brake_joules": [], - "pwr_loss_watts": [], - "energy_loss_joules": [], - }, - } - pt_cntrl = { - "StopStart": { - "fc_min_time_on_seconds": None, - "soc_fc_forced_on": None, - "frac_of_most_eff_pwr_to_run_fc": None, - "temp_fc_forced_on_kelvin": None, - "temp_fc_allowed_off_kelvin": None, - "time_delay_after_stop_until_fc_can_turn_off_seconds": None, - "em_can_regen": allow_regen, - "save_interval": 1, - "state": { - "i": 0, - "fc_temperature_too_low": False, - "vehicle_not_stopped": False, - "on_time_too_short": False, - "aux_power_demand": False, - "charging_for_low_soc": False, - "time_vehicle_stopped_seconds": 0.0, - "vehicle_not_stopped_long_enough": False, - "has_traction_power_request": False, - }, - "history": { - "i": [], - "fc_temperature_too_low": [], - "vehicle_not_stopped": [], - "on_time_too_short": [], - "aux_power_demand": [], - "charging_for_low_soc": [], - "time_vehicle_stopped_seconds": [], - "vehicle_not_stopped_long_enough": [], - "has_traction_power_request": [], - }, - }, - } - sim_params = { - "res_per_fuel_lim": 0.005, - "soc_balance_iter_err": 5, - "balance_soc": True, - "save_soc_bal_iters": False, - } - # NOTE: The value of 11.9 kW below is the approximate idle fuel consumption of the - # conventional version of the vehicle. In theory, this could be much lower as the - # accessories can be supplied electrically (thus alleviating the need for engine on). - # NOTE: if pwr_idle_fuel_watts is too low or zero, the engine effectively uses DFCO - # behavior where it "shuts off" (i.e., technically on but using no fuel) if no - # tractive effort is demanded. - veh_dict["pt_type"]["Conv"]["fc"]["pwr_idle_fuel_watts"] = 11_900.0 - veh_dict["pt_type"] = { - "HEV": { - "res": res, - "fs": veh_dict["pt_type"]["Conv"]["fs"], - "fc": veh_dict["pt_type"]["Conv"]["fc"], - "em": em, - "transmission": veh_dict["pt_type"]["Conv"]["transmission"], - "pt_cntrl": pt_cntrl, - "aux_cntrl": "AuxOnResPriority", - "mass_kilograms": None, - "sim_params": sim_params, - }, - } - veh_uhev = fsim.Vehicle.from_pydict(veh_dict) - return veh_uhev - - -# %% -veh_uhev = conv_to_micro_hybrid(veh) -sd_uhev = fsim.SimDrive(veh_uhev, cyc) -sd_uhev.walk() -df_uhev = sd_uhev.to_dataframe() - -# %% -# uHEV reduction in fuel usage -fuel_uhev_mj = df_uhev["veh.pt_type.HEV.fc.history.energy_fuel_joules"][-1] / 1e6 -gge_uhev_gal = fuel_uhev_mj / MJ_PER_GGE -fuel_economy_uhev_mpg = distance_mi / gge_uhev_gal - -percent_reduction = (fuel_mj - fuel_uhev_mj) * 100.0 / fuel_mj - -print(f"Conventional Vehicle Fuel Economy: {fuel_economy_mpg} mpg") -print(f"Micro HEV Fuel Economy : {fuel_economy_uhev_mpg} mpg") -print(f"Stop/Start Reduction in Fuel Usage (uHEV): {percent_reduction} %") - -""" -## Visualize Results - -The following plots compare fuel converter behavior between the runs. -""" - - -# %% -def plot_fc_pwr(df: pd.DataFrame, df_ss: pd.DataFrame, is_hev: bool = False) -> tuple[Figure, Axes]: - """Plot fuel converter powers.""" - num_subplots = 4 if is_hev else 3 - fig, ax = plt.subplots(num_subplots, 1, sharex=True, figsize=(10, 9)) - title_postfix = " (uHEV)" if is_hev else "" - plt.suptitle("Fuel Converter Power" + title_postfix) - tag = "HEV" if is_hev else "Conv" - - ax[0].set_prop_cycle(get_paired_cycler()) - ax[0].plot( - df["cyc.time_seconds"], - ( - df["veh.pt_type.Conv.fc.history.pwr_prop_watts"] - + df["veh.pt_type.Conv.fc.history.pwr_aux_watts"] - ) - / 1e3, - label="f3 shaft", - ) - ax[0].plot( - df_ss["cyc.time_seconds"], - ( - df_ss[f"veh.pt_type.{tag}.fc.history.pwr_prop_watts"] - + df_ss[f"veh.pt_type.{tag}.fc.history.pwr_aux_watts"] - ) - / 1e3, - label="f3 shaft (ss)", - ) - ax[0].set_ylabel("FC Power [kW]") - ax[0].legend() - - ax[1].set_prop_cycle(get_paired_cycler()) - ax[1].plot( - df["cyc.time_seconds"], - df["veh.pt_type.Conv.fc.history.pwr_fuel_watts"] / 1e3, - label="f3 fuel", - ) - ax[1].plot( - df_ss["cyc.time_seconds"], - df_ss[f"veh.pt_type.{tag}.fc.history.pwr_fuel_watts"] / 1e3, - label="f3 fuel (ss)", - ) - ax[1].set_ylabel("FC Power [kW]") - ax[1].legend() - - ax[2].set_prop_cycle(get_paired_cycler()) - ax[2].plot( - df["cyc.time_seconds"], - df["veh.history.speed_ach_meters_per_second"], - label="f3", - ) - ax[2].plot( - df_ss["cyc.time_seconds"], - df_ss["veh.history.speed_ach_meters_per_second"], - label="f3 (ss)", - ) - ax[2].legend() - ax[2].set_xlabel("Time [s]") - ax[2].set_ylabel("Ach Speed [m/s]") - x_min, x_max = ax[2].get_xlim()[0], ax[2].get_xlim()[1] - x_max = (x_max - x_min) * 1.15 - ax[2].set_xlim([x_min, x_max]) - - if is_hev: - ax[3].set_prop_cycle(get_uni_cycler()) - ax[3].plot( - df_ss["cyc.time_seconds"], - df_ss["veh.pt_type.HEV.res.history.soc"], - label="soc", - ) - ax[3].legend() - ax[3].set_xlabel("Time [s]") - ax[3].set_ylabel("SOC") - x_min, x_max = ax[3].get_xlim()[0], ax[3].get_xlim()[1] - x_max = (x_max - x_min) * 1.15 - ax[3].set_xlim([x_min, x_max]) - - plt.tight_layout() - if SAVE_FIGS: - plt.savefig(Path("./plots/fc_pwr.svg")) - if SHOW_PLOTS: - plt.show() - - return fig, ax - - -""" -Fuel converter shaft power, fuel power, and achieved speed for the -baseline and stop/start runs. During stops, the stop/start run's fuel -power drops to zero while the baseline continues to use idle fuel. -""" - -# %% -fig, ax = plot_fc_pwr(df, df_ss) - -""" -The same comparison for the micro hybrid, with battery state of charge -in the fourth panel. -""" - -# %% -fig2, ax2 = plot_fc_pwr(df, df_uhev, is_hev=True) - - -# %% -def plot_engine_on_flags(df: pd.DataFrame, df_ss: pd.DataFrame, is_hev: bool = False): - """Plot engine flags.""" - if not is_hev: - return - fig, ax = plt.subplots(2, 1, sharex=True, figsize=(10, 9)) - plt.suptitle("Fuel Converter On Logic") - ax[0].set_prop_cycle(get_paired_cycler()) - ax[0].plot( - df_ss["cyc.time_seconds"], - df_ss["veh.pt_type.HEV.pt_cntrl.StopStart.history.vehicle_not_stopped"], - label="not stopped", - ) - ax[0].legend() - - ax[1].set_prop_cycle(get_paired_cycler()) - ax[1].plot( - df["cyc.time_seconds"], - df["veh.history.speed_ach_meters_per_second"], - label="f3", - ) - ax[1].plot( - df_ss["cyc.time_seconds"], - df_ss["veh.history.speed_ach_meters_per_second"], - label="f3 (ss)", - ) - ax[1].legend() - ax[1].set_xlabel("Time [s]") - ax[1].set_ylabel("Ach Speed [m/s]") - x_min, x_max = ax[1].get_xlim()[0], ax[1].get_xlim()[1] - x_max = (x_max - x_min) * 1.15 - ax[1].set_xlim([x_min, x_max]) - - plt.tight_layout() - if SAVE_FIGS: - plt.savefig(Path("./plots/fc_onoff.svg")) - if SHOW_PLOTS: - plt.show() - - return fig, ax - - -""" -The micro hybrid stop/start controller's `vehicle_not_stopped` flag, one -of the conditions that forces the engine on, plotted with achieved speed. -""" - -# %% -fig3, ax3 = plot_engine_on_flags(df, df_uhev, is_hev=True) diff --git a/docs/demo_scripts/demo_trace_miss.py b/docs/demo_scripts/demo_trace_miss.py deleted file mode 100644 index 5fd477c14..000000000 --- a/docs/demo_scripts/demo_trace_miss.py +++ /dev/null @@ -1,135 +0,0 @@ -""" -# Trace Miss Correction - -This demo shows how `SimParams` can be configured to handle trace miss -events, where the vehicle cannot achieve the target speed. -""" - -# %% -import os - -import matplotlib.pyplot as plt -import numpy as np -import seaborn as sns - -import fastsim as fsim - -# %% -sns.set_theme() - -SHOW_PLOTS = os.environ.get("SHOW_PLOTS", "true").lower() == "true" -SAVE_FIGS = os.environ.get("SAVE_FIGS", "false").lower() == "true" - -""" -## Build a Custom Cycle - -This cycle has a sharp acceleration from 0 to 8 m/s in one second, -which the vehicle cannot fully achieve (a trace miss). -""" - -# %% -cyc_d = { - "time_seconds": [0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0], - "speed_meters_per_second": [0.0, 0.0, 8.0, 8.0, 8.0, 8.0, 8.0, 0.0, 0.0], -} -cyc = fsim.Cycle.from_pydict(cyc_d) -cyc0 = cyc.copy() - -# %% -veh = fsim.Vehicle.from_resource("2012_Ford_Fusion.yaml") -veh.set_save_interval(1) - -""" -## Configure Trace Miss Options - -`TraceMissOptions` controls what happens when the vehicle cannot match -the target speed: -- `"Allow"`: allow trace miss without any correction -- `"AllowChecked"`: allow trace miss within error tolerance -- `"Error"` (default): throw error when trace miss happens -- `"Correct"`: correct trace miss with driver model that catches up - -`trace_miss_correct_max_steps` is the maximum number of steps in which to -re-rendezvous with the reference trace. The trajectory with the smallest -peak acceleration is chosen. Must be 2 or greater; defaults to 6. -""" - -# %% -params = fsim.SimParams.default().to_pydict() -params["trace_miss_opts"] = "Correct" -params["trace_miss_correct_max_steps"] = 6 - -sd = fsim.SimDrive(veh, cyc, fsim.SimParams.from_pydict(params)) -sd.walk() - -""" -## Results - -Original cycle speed vs. achieved speed with trace miss correction. -""" - -# %% -if SHOW_PLOTS: - c0 = cyc0.to_pydict() - df = sd.to_dataframe() - - fig, ax = plt.subplots(figsize=(10, 4)) - ax.plot( - np.array(c0["time_seconds"]), - np.array(c0["speed_meters_per_second"]), - label="Original", - ) - ax.plot( - np.array(df["cyc.time_seconds"]), - np.array(df["veh.history.speed_ach_meters_per_second"]), - linestyle="--", - label="Achieved", - ) - ax.set_xlabel("Time [s]") - ax.set_ylabel("Speed [m/s]") - ax.set_title("Trace Miss Correction: Speed vs. Time") - ax.legend() - plt.tight_layout() - plt.show() - -# %% -if SHOW_PLOTS: - fig, ax = plt.subplots(figsize=(10, 4)) - ax.plot( - np.array(c0["dist_meters"]), - np.array(c0["speed_meters_per_second"]), - label="Original", - ) - ax.plot( - np.array(df["cyc.dist_meters"]), - np.array(df["veh.history.speed_ach_meters_per_second"]), - linestyle="--", - label="Achieved", - ) - ax.set_xlabel("Distance [m]") - ax.set_ylabel("Speed [m/s]") - ax.set_title("Trace Miss Correction: Speed vs. Distance") - ax.legend() - plt.tight_layout() - plt.show() - -# %% -if SHOW_PLOTS: - fig, ax = plt.subplots(figsize=(10, 4)) - ax.plot( - np.array(c0["time_seconds"]), - np.array(c0["dist_meters"]), - label="Original", - ) - ax.plot( - np.array(df["cyc.time_seconds"]), - np.array(df["cyc.dist_meters"]), - linestyle="--", - label="Achieved", - ) - ax.set_xlabel("Time [s]") - ax.set_ylabel("Distance [m]") - ax.set_title("Trace Miss Correction: Distance vs. Time") - ax.legend() - plt.tight_layout() - plt.show() diff --git a/docs/demo_scripts/demo_vehicle.py b/docs/demo_scripts/demo_vehicle.py deleted file mode 100644 index d3e6212e7..000000000 --- a/docs/demo_scripts/demo_vehicle.py +++ /dev/null @@ -1,12 +0,0 @@ -""" -# Vehicles in FASTSim - -A vehicle model is a structured representation of the physical parameters of a real-world vehicle. FASTSim’s modeling framework has been exercised over a wide variety of on-road vehicles, from passenger cars, to two-wheelers, to medium- and heavy-duty vocational vehicles. - -FASTSim's vehicle model is a hierarchy of components: - -Vehicle -- Powertrain Type `pt_type` -- Powertrain Type - -""" \ No newline at end of file diff --git a/docs/demo_scripts/test_demos.py b/docs/demo_scripts/test_demos.py deleted file mode 100644 index 9e7ccdb8d..000000000 --- a/docs/demo_scripts/test_demos.py +++ /dev/null @@ -1,37 +0,0 @@ -"""Test suite for FASTSim demo scripts to ensure they run without errors.""" - -import os -import subprocess -import sys -from pathlib import Path - -import pytest - - -# Per-demo wall-clock limit -DEMO_TIMEOUT_SECONDS = 600 - - -def demo_paths(): - """Get list of all demo script paths.""" - return list(Path(__file__).parent.rglob("demo*.py")) - - -@pytest.mark.parametrize("demo_path", demo_paths(), ids=[dp.name for dp in demo_paths()]) -def test_demo(demo_path: Path): - """Test that each demo script runs successfully without errors.""" - os.environ["SHOW_PLOTS"] = "false" - os.environ["PYTEST"] = "true" - # render plotly figures to JSON instead of opening browser tabs - os.environ["PLOTLY_RENDERER"] = "json" - try: - rslt = subprocess.run( - [sys.executable, demo_path], - capture_output=True, - text=True, - timeout=DEMO_TIMEOUT_SECONDS, - ) - except subprocess.TimeoutExpired: - pytest.fail(f"{demo_path.name} did not finish within {DEMO_TIMEOUT_SECONDS} s") - - assert rslt.returncode == 0, rslt.stderr diff --git a/docs/demos_to_notebooks.py b/docs/demos_to_notebooks.py deleted file mode 100644 index 451d42817..000000000 --- a/docs/demos_to_notebooks.py +++ /dev/null @@ -1,271 +0,0 @@ -# Adapted from https://github.com/NatLabRockies/routee-powertrain/blob/860db655fe98b897e25c4bd26188c0a3cb289369/docs/examples/_convert_examples_to_notebooks.py - -from pathlib import Path -import nbformat -import argparse -import shutil -import sys - - -NOTEBOOK_TAG_DIRECTIVES = { - "hide-input": "hide-input", - "remove-input": "remove-input", - "hide-output": "hide-output", - "remove-output": "remove-output", - "hide-cell": "hide-cell", - "remove-cell": "remove-cell", -} - - -def extract_notebook_tags(block: list[str]) -> tuple[list[str], list[str]]: - """Extract notebook tags from inline directives and return cleaned code lines. - - Supported directives in code cells: - - # notebook: hide-input - - # notebook: remove-input - - # notebook: hide-output - - # notebook: remove-output - - # notebook: hide-cell - - # notebook: remove-cell - - Multiple tags may be comma-separated, e.g. - # notebook: hide-input, hide-output - """ - tags: list[str] = [] - cleaned_block: list[str] = [] - - for line in block: - stripped = line.strip() - if stripped.startswith("# notebook:"): - directive_values = stripped.split(":", maxsplit=1)[1] - for raw_tag in directive_values.split(","): - tag = raw_tag.strip().lower().replace("_", "-").replace(" ", "-") - mapped = NOTEBOOK_TAG_DIRECTIVES.get(tag) - if mapped and mapped not in tags: - tags.append(mapped) - continue - cleaned_block.append(line) - - return cleaned_block, tags - - -def script_to_notebook(script_path: Path, notebook_path: Path, script_rel=None) -> None: - # Read the script - with open(script_path, "r") as script_file: - lines = script_file.readlines() - - notebook = nbformat.v4.new_notebook() - current_code_block: list[str] = [] - current_markdown_block: list[str] = [] - - def next_cell_id() -> str: - # deterministic ids keep regenerated notebooks byte-identical so git - # only shows diffs when the source script actually changes - return f"cell-{len(notebook.cells)}" - - def add_code_cell(block: list[str]) -> None: - if block and "".join(block).strip(): - cleaned_block, tags = extract_notebook_tags(block) - if not "".join(cleaned_block).strip(): - return - - code_cell = nbformat.v4.new_code_cell("".join(cleaned_block).strip(), id=next_cell_id()) - if tags: - code_cell.metadata["tags"] = tags - notebook.cells.append(code_cell) - - def add_markdown_cell(block: list[str]) -> None: - if block: - notebook.cells.append( - nbformat.v4.new_markdown_cell("".join(block).strip(), id=next_cell_id()), - ) - - in_markdown = False - for line in lines: - stripped = line.strip() - - # notebooks have no __file__, and the kernel's working directory varies - # (MyST starts kernels at the server root, Jupyter Lab at the notebook - # dir), so walk up from cwd until demo_scripts/ is found - if stripped == "sys.path.insert(0, str(Path(__file__).resolve().parent.parent))": - line = ( - "sys.path.insert(0, str(next(p / \"demo_scripts\" " - "for p in (Path.cwd(), *Path.cwd().parents) " - "if (p / \"demo_scripts\").is_dir())))\n" - ) - - # Use # %% as a code cell boundary - if stripped.startswith("# %%"): - add_code_cell(current_code_block) - current_code_block = [] - continue - - # Only treat """ as markdown delimiter at top level (not indented) - if stripped.startswith('"""') and not line[0].isspace(): - # Single-line """text""" emit as a one-shot markdown cell - if stripped.endswith('"""') and stripped != '"""': - add_code_cell(current_code_block) - current_code_block = [] - content = stripped[3:-3] - if content: - add_markdown_cell([content]) - else: - in_markdown = not in_markdown - if in_markdown: - add_code_cell(current_code_block) - current_code_block = [] - else: - add_markdown_cell(current_markdown_block) - current_markdown_block = [] - elif in_markdown: - current_markdown_block.append(line) - else: - current_code_block.append(line) - - add_code_cell(current_code_block) - add_markdown_cell(current_markdown_block) - - if script_rel is not None: - source_path = f"fastsim/docs/demo_scripts/{script_rel.as_posix()}" - notebook.cells.append( - nbformat.v4.new_markdown_cell(f"*Source: `{source_path}`*", id=next_cell_id()) - ) - - # kernelspec metadata is required for MyST to execute notebooks - notebook.metadata["kernelspec"] = { - "display_name": "Python 3", - "language": "python", - "name": "python3", - } - notebook.metadata["language_info"] = {"name": "python"} - - with open(notebook_path, "w") as notebook_file: - nbformat.write(notebook, notebook_file) - - -def notebook_to_script(notebook_path: Path, script_path: Path) -> None: - """Convert a Jupyter notebook back to a Python script with markdown in triple quotes.""" - # Read the notebook - with open(notebook_path, "r") as notebook_file: - notebook = nbformat.read(notebook_file, as_version=4) - - script_lines = [] - - for cell in notebook.cells: - if cell.cell_type == "markdown": - # Add markdown content wrapped in triple quotes - script_lines.append('"""\n') - script_lines.append(cell.source) - if not cell.source.endswith("\n"): - script_lines.append("\n") - script_lines.append('"""\n') - elif cell.cell_type == "code": - # Add code content directly - if cell.source.strip(): # Only add non-empty code cells - script_lines.append(cell.source) - if not cell.source.endswith("\n"): - script_lines.append("\n") - - # Write the script - with open(script_path, "w") as script_file: - script_file.writelines(script_lines) - - -if __name__ == "__main__": - parser = argparse.ArgumentParser( - description="Convert between Python scripts and Jupyter notebooks", - formatter_class=argparse.RawDescriptionHelpFormatter, - epilog=""" -Examples: - # Convert all example scripts to notebooks (default behavior) - python demos_to_notebooks.py - - # Convert all example notebooks back to scripts - python demos_to_notebooks.py --to-script - - # Convert specific file to notebook - python demos_to_notebooks.py --file my_example.py - - # Convert specific notebook to script - python demos_to_notebooks.py --file my_example.ipynb --to-script - """, - ) - - parser.add_argument( - "--to-script", - action="store_true", - help="Convert notebooks to scripts (default: convert scripts to notebooks)", - ) - parser.add_argument( - "--file", type=Path, help="Convert a specific file instead of all examples" - ) - parser.add_argument( - "--dir", type=Path, help="Find examples in this directory", default=Path(__file__).parent/"demo_scripts" - ) - parser.add_argument( - "--out-dir", type=Path, help="Output directory for converted files", default=Path(__file__).parent/"demo_notebooks" - ) - - args = parser.parse_args() - - # Clear output directory - shutil.rmtree(args.out_dir, ignore_errors=True) - args.out_dir.mkdir() - - if args.file: - # Convert specific file - input_file = args.file - if not input_file.is_absolute(): - input_file = args.dir / input_file - - if not input_file.exists(): - print(f"Error: File {input_file} does not exist") - sys.exit(1) - - rel_path = input_file.relative_to(args.dir) - out_path = args.out_dir / rel_path - - if args.to_script: - if input_file.suffix != ".ipynb": - print(f"Error: {input_file} is not a notebook file") - sys.exit(1) - out_path = out_path.with_suffix(".py") - out_path.parent.mkdir(parents=True, exist_ok=True) - notebook_to_script(input_file, out_path) - print(f"Converted {input_file} to {out_path}") - else: - if input_file.suffix != ".py": - print(f"Error: {input_file} is not a Python file") - sys.exit(1) - out_path = out_path.with_suffix(".ipynb") - out_path.parent.mkdir(parents=True, exist_ok=True) - script_to_notebook(input_file, out_path, rel_path) - print(f"Converted {input_file} to {out_path}") - else: - # Convert all example files (recursively through subdirectories) - if args.to_script: - notebooks = sorted(args.dir.rglob("demo*.ipynb")) - converted_count = 0 - for notebook in notebooks: - rel_path = notebook.relative_to(args.dir) - out_path = (args.out_dir / rel_path).with_suffix(".py") - out_path.parent.mkdir(parents=True, exist_ok=True) - notebook_to_script(notebook, out_path) - print(f"Converted {rel_path} to {out_path}") - converted_count += 1 - - if converted_count == 0: - print("No example notebooks found to convert") - else: - scripts = sorted(args.dir.rglob("demo*.py")) - converted_count = 0 - for script in scripts: - rel_path = script.relative_to(args.dir) - out_path = (args.out_dir / rel_path).with_suffix(".ipynb") - out_path.parent.mkdir(parents=True, exist_ok=True) - script_to_notebook(script, out_path, rel_path) - print(f"Converted {rel_path} to {out_path}") - converted_count += 1 - - if converted_count == 0: - print("No example scripts found to convert") diff --git a/docs/myst.yml b/docs/myst.yml index 6316865ba..59b8abab5 100644 --- a/docs/myst.yml +++ b/docs/myst.yml @@ -10,7 +10,7 @@ project: children: - file: content/what-is-fastsim.md - file: content/installation.md - - file: demo_notebooks/demo_getting_started.ipynb + - file: content/getting_started.ipynb - title: User Guide children: - title: Vehicle Models @@ -19,45 +19,45 @@ project: - file: content/custom-vehicles.md - title: Drive Cycles children: - - file: demo_notebooks/demo_drive_cycle.ipynb + - file: content/drive_cycle.ipynb - file: content/telematics.md - title: Running Simulations children: - file: content/simdrive.md - file: content/editing-sim-params.md - - file: demo_notebooks/demo_label_fe.ipynb + - file: content/label_fe.ipynb # - file: content/label-fe.md # - title: Demos # children: - # - file: demo_notebooks/demo_conv.ipynb - # - file: demo_notebooks/demo_bev.ipynb - # - file: demo_notebooks/demo_hev.ipynb + # - file: content/conv.ipynb + # - file: content/bev.ipynb + # - file: content/hev.ipynb # - title: Advanced Demos # children: # - title: Thermal Simulation # children: - # - file: demo_notebooks/demo_bev_thrml_cs_ca.ipynb - # - file: demo_notebooks/demo_bev_thrml_ws_ca.ipynb - # - file: demo_notebooks/demo_bev_thrml_ws_wa.ipynb - # - file: demo_notebooks/demo_hev_thrml_cs_ca.ipynb - # - file: demo_notebooks/demo_hev_thrml_ws_ca.ipynb - # - file: demo_notebooks/demo_hev_thrml_ws_wa.ipynb - # - file: demo_notebooks/demo_bev_thrml_sweep.ipynb + # - file: content/bev_thrml_cs_ca.ipynb + # - file: content/bev_thrml_ws_ca.ipynb + # - file: content/bev_thrml_ws_wa.ipynb + # - file: content/hev_thrml_cs_ca.ipynb + # - file: content/hev_thrml_ws_ca.ipynb + # - file: content/hev_thrml_ws_wa.ipynb + # - file: content/bev_thrml_sweep.ipynb # - title: Vehicle Controls # children: - # - file: demo_notebooks/demo_trace_miss.ipynb - # - file: demo_notebooks/demo_stop_start.ipynb - # - file: demo_notebooks/demo_dfco.ipynb + # - file: content/trace_miss.ipynb + # - file: content/stop_start.ipynb + # - file: content/dfco.ipynb # - file: content/migration-guide.md # - title: Connected and Automated Vehicles (CAVS) # children: - # - file: demo_notebooks/demo_maneuver_intro.ipynb - # - file: demo_notebooks/demo_microtrips.ipynb - # - file: demo_notebooks/demo_basic_coasting.ipynb - # - file: demo_notebooks/demo_coast_with_grade.ipynb - # - file: demo_notebooks/demo_advanced_coasting.ipynb - # - file: demo_notebooks/demo_eco_cruise.ipynb - # - file: demo_notebooks/demo_cruise_and_coast.ipynb + # - file: content/maneuver_intro.ipynb + # - file: content/microtrips.ipynb + # - file: content/basic_coasting.ipynb + # - file: content/coast_with_grade.ipynb + # - file: content/advanced_coasting.ipynb + # - file: content/eco_cruise.ipynb + # - file: content/cruise_and_coast.ipynb - 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- plotly-geo ; extra == 'dev' - - polars[timezone] ; extra == 'dev' - - pyarrow ; extra == 'dev' - - pyshp ; extra == 'dev' - - pytest ; extra == 'dev' - - pytz ; extra == 'dev' - - requests ; extra == 'dev' - - ruff==0.11.12 ; extra == 'dev' - - scikit-image ; extra == 'dev' - - scipy ; extra == 'dev' - - shapely ; extra == 'dev' - - statsmodels ; extra == 'dev' - - vaex ; python_full_version < '3.10' and extra == 'dev' - - xarray ; extra == 'dev' - - build ; extra == 'dev-build' - - jupyterlab ; extra == 'dev-build' - - pytest ; extra == 'dev-build' - - requests ; extra == 'dev-build' - - ruff==0.11.12 ; extra == 'dev-build' - - pytest ; extra == 'dev-core' - - requests ; extra == 'dev-core' - - ruff==0.11.12 ; extra == 'dev-core' - - anywidget ; extra == 'dev-optional' - - build ; extra == 'dev-optional' - - colorcet ; extra == 'dev-optional' - - fiona<=1.9.6 ; python_full_version < '3.9' and extra == 'dev-optional' - - geopandas ; extra == 'dev-optional' - - inflect ; extra == 'dev-optional' - 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- pandas>=3 ; python_full_version >= '3.11' and extra == 'dev-pandas3' - - numpy>=1.22 ; extra == 'express' - - kaleido>=1.3.0 ; extra == 'kaleido' - requires_python: '>=3.8' -- pypi: https://files.pythonhosted.org/packages/fa/f0/fe47c501f9dea92a26d788ff98bb5d92ed4cb4c88792c5c88af6b697dc8e/ruff-0.15.20-py3-none-win_amd64.whl - name: ruff - version: 0.15.20 - sha256: a525c81c70fb0380344dd1d8745d8cc1c890b7fc94a58d5a07bd8eb9557b8415 - requires_python: '>=3.7' -- pypi: https://files.pythonhosted.org/packages/fb/80/65a5aa96c155e611d1ed844e4e1f57f3e36b021f396d9f8585d756e6b90d/rpds_py-2026.5.1-cp314-cp314-win_amd64.whl - name: rpds-py - version: 2026.5.1 - sha256: cef8ac28d26f4dda3533060c20fbf80a325458fa9fd23ea72a73cdfa8e978838 - requires_python: '>=3.11' - pypi: https://files.pythonhosted.org/packages/fb/e2/79c688af8b210d232694e31e59da9f6ec747bae31c3f5946e4e9b98860d5/click-8.4.2-py3-none-any.whl name: click version: 8.4.2 diff --git a/pyproject.toml b/pyproject.toml index 08a686315..d2abcf4a2 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -58,6 +58,8 @@ test = [ "pytest~=8.3", "memory_profiler~=0.61.0", "nbformat>=4.2.0", + "nbmake", + "pytest-xdist", ] wheels = [ {include-group = "build"}, @@ -133,13 +135,17 @@ dev = { features = ["dev", "build", "release", "test", "wheels", "docs"], solve- [tool.pixi.tasks] cargo_test = "cargo test --release" py_build = "maturin develop --release" -py_test = { cmd = "pixi run -e test pytest -v", depends-on = ["py_build"] } -build_and_test = { depends-on = ["cargo_test", "py_test"] } -docs = { cmd = "python demos_to_notebooks.py && jupyter book start --execute", cwd = "docs", default-environment = "docs" } +py_test = { cmd = "pixi run -e test pytest -v" } +build_and_test = { depends-on = ["cargo_test", "py_build", "py_test"] } +docs = { cmd = "jupyter book start --execute", cwd = "docs", default-environment = "docs" } fmt = "ruff format" # lint = "pylint" # style = { depends-on = ["fmt", "lint"] } +[tool.pytest.ini_options] +# Pytest configuration for running notebook tests with nbmake and parallel execution +addopts = "--nbmake --nbmake-timeout=600 -n auto" + [tool.ruff] # Specify Python version target-version = "py311" From 950ffba204e77c6c2041eca5056104a814da28e3 Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Mon, 13 Jul 2026 23:47:35 -0600 Subject: [PATCH 17/67] update demos to not expect old directory --- docs/content/advanced_coasting.ipynb | 2 -- docs/content/basic_coasting.ipynb | 2 -- docs/content/bev_thrml_cs_ca.ipynb | 2 -- docs/content/bev_thrml_ws_ca.ipynb | 2 -- docs/content/bev_thrml_ws_wa.ipynb | 2 -- docs/content/coast_with_grade.ipynb | 2 -- docs/content/cruise_and_coast.ipynb | 2 -- docs/content/dfco.ipynb | 2 -- docs/content/eco_cruise.ipynb | 2 -- docs/content/hev_thrml_cs_ca.ipynb | 24 +++++++++++------------- docs/content/hev_thrml_ws_ca.ipynb | 2 -- docs/content/hev_thrml_ws_wa.ipynb | 2 -- docs/content/microtrips.ipynb | 2 -- docs/content/stop_start.ipynb | 2 -- 14 files changed, 11 insertions(+), 39 deletions(-) diff --git a/docs/content/advanced_coasting.ipynb b/docs/content/advanced_coasting.ipynb index 51241999f..4459e8f26 100644 --- a/docs/content/advanced_coasting.ipynb +++ b/docs/content/advanced_coasting.ipynb @@ -26,8 +26,6 @@ "import sys\n", "from pathlib import Path\n", "\n", - "sys.path.insert(0, str(next(p / \"demo_scripts\" for p in (Path.cwd(), *Path.cwd().parents) if (p / \"demo_scripts\").is_dir())))\n", - "\n", "import fastsim as fsim\n", "from plot_utils import plot_speed_by_time, plot_speed_by_dist" ] diff --git a/docs/content/basic_coasting.ipynb b/docs/content/basic_coasting.ipynb index b76f7dd81..c4d263bce 100644 --- a/docs/content/basic_coasting.ipynb +++ b/docs/content/basic_coasting.ipynb @@ -26,8 +26,6 @@ "import sys\n", "from pathlib import Path\n", "\n", - "sys.path.insert(0, str(next(p / \"demo_scripts\" for p in (Path.cwd(), *Path.cwd().parents) if (p / \"demo_scripts\").is_dir())))\n", - "\n", "import fastsim as fsim\n", "from plot_utils import plot_speed_by_time, plot_speed_by_dist" ] diff --git a/docs/content/bev_thrml_cs_ca.ipynb b/docs/content/bev_thrml_cs_ca.ipynb index d175a3912..a1a92cbf7 100644 --- a/docs/content/bev_thrml_cs_ca.ipynb +++ b/docs/content/bev_thrml_cs_ca.ipynb @@ -25,8 +25,6 @@ "\n", "import seaborn as sns\n", "\n", - "sys.path.insert(0, str(next(p / \"demo_scripts\" for p in (Path.cwd(), *Path.cwd().parents) if (p / \"demo_scripts\").is_dir())))\n", - "\n", "import fastsim as fsim\n", "from plot_utils import (\n", " plot_bev_hvac_pwr,\n", diff --git a/docs/content/bev_thrml_ws_ca.ipynb b/docs/content/bev_thrml_ws_ca.ipynb index 3ed28240e..b94f4700b 100644 --- a/docs/content/bev_thrml_ws_ca.ipynb +++ b/docs/content/bev_thrml_ws_ca.ipynb @@ -25,8 +25,6 @@ "\n", "import seaborn as sns\n", "\n", - "sys.path.insert(0, str(next(p / \"demo_scripts\" for p in (Path.cwd(), *Path.cwd().parents) if (p / \"demo_scripts\").is_dir())))\n", - "\n", "import fastsim as fsim\n", "from plot_utils import (\n", " plot_bev_hvac_pwr,\n", diff --git a/docs/content/bev_thrml_ws_wa.ipynb b/docs/content/bev_thrml_ws_wa.ipynb index 892965e00..b44d94947 100644 --- a/docs/content/bev_thrml_ws_wa.ipynb +++ b/docs/content/bev_thrml_ws_wa.ipynb @@ -25,8 +25,6 @@ "\n", "import seaborn as sns\n", "\n", - "sys.path.insert(0, str(next(p / \"demo_scripts\" for p in (Path.cwd(), *Path.cwd().parents) if (p / \"demo_scripts\").is_dir())))\n", - "\n", "import fastsim as fsim\n", "from plot_utils import (\n", " plot_bev_hvac_pwr,\n", diff --git a/docs/content/coast_with_grade.ipynb b/docs/content/coast_with_grade.ipynb index b47db3920..9750913eb 100644 --- a/docs/content/coast_with_grade.ipynb +++ b/docs/content/coast_with_grade.ipynb @@ -26,8 +26,6 @@ "import sys\n", "from pathlib import Path\n", "\n", - "sys.path.insert(0, str(next(p / \"demo_scripts\" for p in (Path.cwd(), *Path.cwd().parents) if (p / \"demo_scripts\").is_dir())))\n", - "\n", "import fastsim as fsim\n", "from plot_utils import plot_speed_by_time, plot_speed_by_dist" ] diff --git a/docs/content/cruise_and_coast.ipynb b/docs/content/cruise_and_coast.ipynb index acd83a2cf..9b69cac2b 100644 --- a/docs/content/cruise_and_coast.ipynb +++ b/docs/content/cruise_and_coast.ipynb @@ -27,8 +27,6 @@ "import sys\n", "from pathlib import Path\n", "\n", - "sys.path.insert(0, str(next(p / \"demo_scripts\" for p in (Path.cwd(), *Path.cwd().parents) if (p / \"demo_scripts\").is_dir())))\n", - "\n", "import fastsim as fsim\n", "from plot_utils import plot_speed_by_time, plot_speed_by_dist" ] diff --git a/docs/content/dfco.ipynb b/docs/content/dfco.ipynb index 55db13c98..abe0aeb6b 100644 --- a/docs/content/dfco.ipynb +++ b/docs/content/dfco.ipynb @@ -30,8 +30,6 @@ "from matplotlib.axes import Axes\n", "from matplotlib.figure import Figure\n", "\n", - "sys.path.insert(0, str(next(p / \"demo_scripts\" for p in (Path.cwd(), *Path.cwd().parents) if (p / \"demo_scripts\").is_dir())))\n", - "\n", "import fastsim as fsim\n", "from plot_utils import get_paired_cycler" ] diff --git a/docs/content/eco_cruise.ipynb b/docs/content/eco_cruise.ipynb index 8c3a8e5aa..2e9ca5531 100644 --- a/docs/content/eco_cruise.ipynb +++ b/docs/content/eco_cruise.ipynb @@ -26,8 +26,6 @@ "import sys\n", "from pathlib import Path\n", "\n", - "sys.path.insert(0, str(next(p / \"demo_scripts\" for p in (Path.cwd(), *Path.cwd().parents) if (p / \"demo_scripts\").is_dir())))\n", - "\n", "import fastsim as fsim\n", "from plot_utils import plot_speed_by_time, plot_speed_by_dist" ] diff --git a/docs/content/hev_thrml_cs_ca.ipynb b/docs/content/hev_thrml_cs_ca.ipynb index 63e29f785..12b194c8e 100644 --- a/docs/content/hev_thrml_cs_ca.ipynb +++ b/docs/content/hev_thrml_cs_ca.ipynb @@ -14,7 +14,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 1, "id": "cell-1", "metadata": {}, "outputs": [], @@ -25,8 +25,6 @@ "\n", "import seaborn as sns\n", "\n", - "sys.path.insert(0, str(next(p / \"demo_scripts\" for p in (Path.cwd(), *Path.cwd().parents) if (p / \"demo_scripts\").is_dir())))\n", - "\n", "import fastsim as fsim\n", "from plot_utils import (\n", " plot_hev_fc_energy,\n", @@ -40,7 +38,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 2, "id": "cell-2", "metadata": {}, "outputs": [], @@ -64,7 +62,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 3, "id": "cell-4", "metadata": {}, "outputs": [ @@ -103,7 +101,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 4, "id": "cell-5", "metadata": {}, "outputs": [], @@ -116,7 +114,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 5, "id": "cell-6", "metadata": {}, "outputs": [], @@ -141,7 +139,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 6, "id": "cell-8", "metadata": {}, "outputs": [ @@ -162,7 +160,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 7, "id": "cell-9", "metadata": {}, "outputs": [ @@ -183,7 +181,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 8, "id": "cell-10", "metadata": {}, "outputs": [ @@ -214,7 +212,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 9, "id": "cell-11", "metadata": {}, "outputs": [ @@ -235,7 +233,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 10, "id": "cell-12", "metadata": {}, "outputs": [ @@ -256,7 +254,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 11, "id": "cell-13", "metadata": {}, "outputs": [ diff --git a/docs/content/hev_thrml_ws_ca.ipynb b/docs/content/hev_thrml_ws_ca.ipynb index 727d39ddc..75d7de4cb 100644 --- a/docs/content/hev_thrml_ws_ca.ipynb +++ b/docs/content/hev_thrml_ws_ca.ipynb @@ -25,8 +25,6 @@ "\n", "import seaborn as sns\n", "\n", - "sys.path.insert(0, str(next(p / \"demo_scripts\" for p in (Path.cwd(), *Path.cwd().parents) if (p / \"demo_scripts\").is_dir())))\n", - "\n", "import fastsim as fsim\n", "from plot_utils import (\n", " plot_hev_fc_energy,\n", diff --git a/docs/content/hev_thrml_ws_wa.ipynb b/docs/content/hev_thrml_ws_wa.ipynb index 8317792f0..f361fdc00 100644 --- a/docs/content/hev_thrml_ws_wa.ipynb +++ b/docs/content/hev_thrml_ws_wa.ipynb @@ -25,8 +25,6 @@ "\n", "import seaborn as sns\n", "\n", - "sys.path.insert(0, str(next(p / \"demo_scripts\" for p in (Path.cwd(), *Path.cwd().parents) if (p / \"demo_scripts\").is_dir())))\n", - "\n", "import fastsim as fsim\n", "from plot_utils import (\n", " plot_hev_fc_energy,\n", diff --git a/docs/content/microtrips.ipynb b/docs/content/microtrips.ipynb index 82a55bcea..c051318a9 100644 --- a/docs/content/microtrips.ipynb +++ b/docs/content/microtrips.ipynb @@ -26,8 +26,6 @@ "import sys\n", "from pathlib import Path\n", "\n", - "sys.path.insert(0, str(next(p / \"demo_scripts\" for p in (Path.cwd(), *Path.cwd().parents) if (p / \"demo_scripts\").is_dir())))\n", - "\n", "import fastsim as fsim\n", "from plot_utils import BASE_COLORS, BASE_LINE_STYLES" ] diff --git a/docs/content/stop_start.ipynb b/docs/content/stop_start.ipynb index d22926102..98144432c 100644 --- a/docs/content/stop_start.ipynb +++ b/docs/content/stop_start.ipynb @@ -32,8 +32,6 @@ "from matplotlib.axes import Axes\n", "from matplotlib.figure import Figure\n", "\n", - "sys.path.insert(0, str(next(p / \"demo_scripts\" for p in (Path.cwd(), *Path.cwd().parents) if (p / \"demo_scripts\").is_dir())))\n", - "\n", "import fastsim as fsim\n", "from plot_utils import get_paired_cycler, get_uni_cycler" ] From af46a912148672bff43073660ae3766c1102913d Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Tue, 14 Jul 2026 00:27:43 -0600 Subject: [PATCH 18/67] reorganize docs directory to reflect toc structure --- docs/content/label-fuel-economy.md | 5 --- .../content/{ => old}/advanced_coasting.ipynb | 0 docs/content/{ => old}/basic_coasting.ipynb | 0 docs/content/{ => old}/bev.ipynb | 0 docs/content/{ => old}/bev_thrml_cs_ca.ipynb | 0 docs/content/{ => old}/bev_thrml_ws_ca.ipynb | 0 docs/content/{ => old}/bev_thrml_ws_wa.ipynb | 0 docs/content/{ => old}/coast_with_grade.ipynb | 0 docs/content/{ => old}/conv.ipynb | 0 docs/content/{ => old}/cruise_and_coast.ipynb | 0 docs/content/{ => old}/dfco.ipynb | 0 docs/content/{ => old}/eco_cruise.ipynb | 0 docs/content/{ => old}/hev.ipynb | 0 docs/content/{ => old}/hev_thrml_cs_ca.ipynb | 0 docs/content/{ => old}/hev_thrml_ws_ca.ipynb | 0 docs/content/{ => old}/hev_thrml_ws_wa.ipynb | 0 docs/content/{ => old}/maneuver_intro.ipynb | 0 docs/content/{ => old}/microtrips.ipynb | 0 docs/content/{ => old}/plot_utils.py | 0 docs/content/{ => old}/stop_start.ipynb | 0 docs/content/{ => old}/trace_miss.ipynb | 0 .../content/{ => overview}/what-is-fastsim.md | 0 .../drive-cycles}/drive_cycle.ipynb | 0 .../drive-cycles}/telematics.md | 0 .../editing-sim-params.md | 0 .../running-simulations}/label_fe.ipynb | 0 .../running-simulations}/simdrive.md | 0 .../vehicle-models}/custom-vehicles.md | 0 .../vehicle-models}/vehicle.md | 0 docs/content/vehicle.ipynb | 32 ------------------- docs/myst.yml | 16 +++++----- 31 files changed, 8 insertions(+), 45 deletions(-) delete mode 100644 docs/content/label-fuel-economy.md rename docs/content/{ => old}/advanced_coasting.ipynb (100%) rename docs/content/{ => old}/basic_coasting.ipynb (100%) rename docs/content/{ => old}/bev.ipynb (100%) rename docs/content/{ => old}/bev_thrml_cs_ca.ipynb (100%) rename docs/content/{ => old}/bev_thrml_ws_ca.ipynb (100%) rename docs/content/{ => old}/bev_thrml_ws_wa.ipynb (100%) rename docs/content/{ => old}/coast_with_grade.ipynb (100%) rename docs/content/{ => old}/conv.ipynb (100%) rename docs/content/{ => old}/cruise_and_coast.ipynb (100%) rename docs/content/{ => old}/dfco.ipynb (100%) rename docs/content/{ => old}/eco_cruise.ipynb (100%) rename docs/content/{ => old}/hev.ipynb (100%) rename docs/content/{ => old}/hev_thrml_cs_ca.ipynb (100%) rename docs/content/{ => old}/hev_thrml_ws_ca.ipynb (100%) rename docs/content/{ => old}/hev_thrml_ws_wa.ipynb (100%) rename docs/content/{ => old}/maneuver_intro.ipynb (100%) rename docs/content/{ => old}/microtrips.ipynb (100%) rename docs/content/{ => old}/plot_utils.py (100%) rename docs/content/{ => old}/stop_start.ipynb (100%) rename docs/content/{ => old}/trace_miss.ipynb (100%) rename docs/content/{ => overview}/what-is-fastsim.md (100%) rename docs/content/{ => user-guide/drive-cycles}/drive_cycle.ipynb (100%) rename docs/content/{ => user-guide/drive-cycles}/telematics.md (100%) rename docs/content/{ => user-guide/running-simulations}/editing-sim-params.md (100%) rename docs/content/{ => user-guide/running-simulations}/label_fe.ipynb (100%) rename docs/content/{ => user-guide/running-simulations}/simdrive.md (100%) rename docs/content/{ => user-guide/vehicle-models}/custom-vehicles.md (100%) rename docs/content/{ => user-guide/vehicle-models}/vehicle.md (100%) delete mode 100644 docs/content/vehicle.ipynb diff --git a/docs/content/label-fuel-economy.md b/docs/content/label-fuel-economy.md deleted file mode 100644 index 56abf54d5..000000000 --- a/docs/content/label-fuel-economy.md +++ /dev/null @@ -1,5 +0,0 @@ -# Comparing Simulations to Label Fuel Economy - -:::{note} -🚧 This page is under construction. It will become a demo notebook. -::: diff --git a/docs/content/advanced_coasting.ipynb b/docs/content/old/advanced_coasting.ipynb similarity index 100% rename from docs/content/advanced_coasting.ipynb rename to docs/content/old/advanced_coasting.ipynb diff --git a/docs/content/basic_coasting.ipynb b/docs/content/old/basic_coasting.ipynb similarity index 100% rename from docs/content/basic_coasting.ipynb rename to docs/content/old/basic_coasting.ipynb diff --git a/docs/content/bev.ipynb b/docs/content/old/bev.ipynb similarity index 100% rename from docs/content/bev.ipynb rename to docs/content/old/bev.ipynb diff --git a/docs/content/bev_thrml_cs_ca.ipynb b/docs/content/old/bev_thrml_cs_ca.ipynb similarity index 100% rename from docs/content/bev_thrml_cs_ca.ipynb rename to docs/content/old/bev_thrml_cs_ca.ipynb diff --git a/docs/content/bev_thrml_ws_ca.ipynb b/docs/content/old/bev_thrml_ws_ca.ipynb similarity index 100% rename from docs/content/bev_thrml_ws_ca.ipynb rename to 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--git a/docs/content/eco_cruise.ipynb b/docs/content/old/eco_cruise.ipynb similarity index 100% rename from docs/content/eco_cruise.ipynb rename to docs/content/old/eco_cruise.ipynb diff --git a/docs/content/hev.ipynb b/docs/content/old/hev.ipynb similarity index 100% rename from docs/content/hev.ipynb rename to docs/content/old/hev.ipynb diff --git a/docs/content/hev_thrml_cs_ca.ipynb b/docs/content/old/hev_thrml_cs_ca.ipynb similarity index 100% rename from docs/content/hev_thrml_cs_ca.ipynb rename to docs/content/old/hev_thrml_cs_ca.ipynb diff --git a/docs/content/hev_thrml_ws_ca.ipynb b/docs/content/old/hev_thrml_ws_ca.ipynb similarity index 100% rename from docs/content/hev_thrml_ws_ca.ipynb rename to docs/content/old/hev_thrml_ws_ca.ipynb diff --git a/docs/content/hev_thrml_ws_wa.ipynb b/docs/content/old/hev_thrml_ws_wa.ipynb similarity index 100% rename from docs/content/hev_thrml_ws_wa.ipynb rename to docs/content/old/hev_thrml_ws_wa.ipynb diff --git a/docs/content/maneuver_intro.ipynb b/docs/content/old/maneuver_intro.ipynb similarity index 100% rename from docs/content/maneuver_intro.ipynb rename to docs/content/old/maneuver_intro.ipynb diff --git a/docs/content/microtrips.ipynb b/docs/content/old/microtrips.ipynb similarity index 100% rename from docs/content/microtrips.ipynb rename to docs/content/old/microtrips.ipynb diff --git a/docs/content/plot_utils.py b/docs/content/old/plot_utils.py similarity index 100% rename from docs/content/plot_utils.py rename to docs/content/old/plot_utils.py diff --git a/docs/content/stop_start.ipynb b/docs/content/old/stop_start.ipynb similarity index 100% rename from docs/content/stop_start.ipynb rename to docs/content/old/stop_start.ipynb diff --git a/docs/content/trace_miss.ipynb b/docs/content/old/trace_miss.ipynb similarity index 100% rename from docs/content/trace_miss.ipynb rename to docs/content/old/trace_miss.ipynb diff --git a/docs/content/what-is-fastsim.md b/docs/content/overview/what-is-fastsim.md similarity index 100% rename from docs/content/what-is-fastsim.md rename to docs/content/overview/what-is-fastsim.md diff --git a/docs/content/drive_cycle.ipynb b/docs/content/user-guide/drive-cycles/drive_cycle.ipynb similarity index 100% rename from docs/content/drive_cycle.ipynb rename to docs/content/user-guide/drive-cycles/drive_cycle.ipynb diff --git a/docs/content/telematics.md b/docs/content/user-guide/drive-cycles/telematics.md similarity index 100% rename from docs/content/telematics.md rename to docs/content/user-guide/drive-cycles/telematics.md diff --git a/docs/content/editing-sim-params.md b/docs/content/user-guide/running-simulations/editing-sim-params.md similarity index 100% rename from docs/content/editing-sim-params.md rename to docs/content/user-guide/running-simulations/editing-sim-params.md diff --git a/docs/content/label_fe.ipynb b/docs/content/user-guide/running-simulations/label_fe.ipynb similarity index 100% rename from docs/content/label_fe.ipynb rename to docs/content/user-guide/running-simulations/label_fe.ipynb diff --git a/docs/content/simdrive.md b/docs/content/user-guide/running-simulations/simdrive.md similarity index 100% rename from docs/content/simdrive.md rename to docs/content/user-guide/running-simulations/simdrive.md diff --git a/docs/content/custom-vehicles.md b/docs/content/user-guide/vehicle-models/custom-vehicles.md similarity index 100% rename from docs/content/custom-vehicles.md rename to docs/content/user-guide/vehicle-models/custom-vehicles.md diff --git a/docs/content/vehicle.md b/docs/content/user-guide/vehicle-models/vehicle.md similarity index 100% rename from docs/content/vehicle.md rename to docs/content/user-guide/vehicle-models/vehicle.md diff --git a/docs/content/vehicle.ipynb b/docs/content/vehicle.ipynb deleted file mode 100644 index 171bc6c98..000000000 --- a/docs/content/vehicle.ipynb +++ /dev/null @@ -1,32 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "cell-0", - "metadata": {}, - "source": [ - "# Vehicles in FASTSim\n", - "\n", - "A vehicle model is a structured representation of the physical parameters of a real-world vehicle. FASTSim’s modeling framework has been exercised over a wide variety of on-road vehicles, from passenger cars, to two-wheelers, to medium- and heavy-duty vocational vehicles.\n", - "\n", - "FASTSim's vehicle model is a hierarchy of components:\n", - "\n", - "Vehicle\n", - "- Powertrain Type `pt_type`\n", - "- Powertrain Type" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "name": "python" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/docs/myst.yml b/docs/myst.yml index 59b8abab5..799a3b855 100644 --- a/docs/myst.yml +++ b/docs/myst.yml @@ -8,24 +8,24 @@ project: - file: content/intro.md - title: Overview children: - - file: content/what-is-fastsim.md + - file: content/overview/what-is-fastsim.md - file: content/installation.md - file: content/getting_started.ipynb - title: User Guide children: - title: Vehicle Models children: - - file: content/vehicle.md - - file: content/custom-vehicles.md + - file: content/user-guide/vehicle-models/vehicle.md + - file: content/user-guide/vehicle-models/custom-vehicles.md - title: Drive Cycles children: - - file: content/drive_cycle.ipynb - - file: content/telematics.md + - file: content/user-guide/drive-cycles/drive_cycle.ipynb + - file: content/user-guide/drive-cycles/telematics.md - title: Running Simulations children: - - file: content/simdrive.md - - file: content/editing-sim-params.md - - file: content/label_fe.ipynb + - file: content/user-guide/running-simulations/simdrive.md + - file: content/user-guide/running-simulations/editing-sim-params.md + - file: content/user-guide/running-simulations/label_fe.ipynb # - file: content/label-fe.md # - title: Demos # children: From 5bcd169db5cc521f0d239d2709daa3d1e5329b0e Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Tue, 14 Jul 2026 10:22:22 -0600 Subject: [PATCH 19/67] hypenate notebook filenames, fix broken internal links --- .github/workflows/deploy_docs.yaml | 5 +-- docs/content/developers/environment-setup.md | 3 ++ docs/content/developers/updating-docs.md | 29 ++++++++++----- ...ng_started.ipynb => getting-started.ipynb} | 37 ++++++++++--------- docs/content/installation.md | 2 +- docs/content/intro.md | 4 +- .../{drive_cycle.ipynb => drive-cycle.ipynb} | 0 .../{label_fe.ipynb => label-fe.ipynb} | 0 .../running-simulations/trace-miss.ipynb | 19 ++++++++++ docs/myst.yml | 7 ++-- docs/requirements.txt | 2 - pyproject.toml | 1 + 12 files changed, 69 insertions(+), 40 deletions(-) rename docs/content/{getting_started.ipynb => getting-started.ipynb} (99%) rename docs/content/user-guide/drive-cycles/{drive_cycle.ipynb => drive-cycle.ipynb} (100%) rename docs/content/user-guide/running-simulations/{label_fe.ipynb => label-fe.ipynb} (100%) create mode 100644 docs/content/user-guide/running-simulations/trace-miss.ipynb delete mode 100644 docs/requirements.txt diff --git a/.github/workflows/deploy_docs.yaml b/.github/workflows/deploy_docs.yaml index 7b57a8641..44ca28080 100644 --- a/.github/workflows/deploy_docs.yaml +++ b/.github/workflows/deploy_docs.yaml @@ -58,10 +58,7 @@ jobs: # base path to build correct links to its static assets. env: BASE_URL: "/${{ github.event.repository.name }}" - # TODO: consider adding --strict once a strict + execute build is - # confirmed clean, so broken links/refs and execution errors fail the - # deploy instead of silently publishing. - run: jupyter book build --html --execute + run: jupyter book build --strict --html --execute - name: Upload artifact uses: actions/upload-pages-artifact@v3 diff --git a/docs/content/developers/environment-setup.md b/docs/content/developers/environment-setup.md index 1d7fbc0bd..54057c389 100644 --- a/docs/content/developers/environment-setup.md +++ b/docs/content/developers/environment-setup.md @@ -5,6 +5,7 @@ A few options exist for environment setup: 2. [Anaconda](#2-anaconda) 2. [Custom](#3-custom) +(1-pixi)= ## 1. Pixi [Pixi](https://pixi.prefix.dev/latest/) is a tool that ensures environment hygiene and reproducibility. FASTSim has an established setup for Pixi that you can take advantage of to quickly get started. @@ -66,6 +67,7 @@ After that, entering the directory will auto-activate the pixi `dev` environment hide_env_diff = true ``` +(2-anaconda)= ## 2. Anaconda Anaconda users can easily install Rust using the conda-forge `rust` package @@ -114,6 +116,7 @@ Relevant links: ::: +(3-custom)= ## 3. Custom If you do not want to use Pixi or Anaconda, install Rust and Python dependencies manually. diff --git a/docs/content/developers/updating-docs.md b/docs/content/developers/updating-docs.md index a8adb91d0..bd85daa2e 100644 --- a/docs/content/developers/updating-docs.md +++ b/docs/content/developers/updating-docs.md @@ -28,24 +28,29 @@ Convert the demo scripts to notebooks and launch the jupyter book, executing not ``` - Manually: - ```bash - cd docs + 1. Change to the `docs/` directory - # Start the dev server with live reload - # The `--execute` flag runs the demo notebooks and populates their - # outputs, so plots appear in the rendered pages: - jupyter book start --execute - ``` + ```bash + cd docs + ``` + 1. Start the dev server with live reload: + + ```bash + jupyter book start --execute + ``` -The site will be available at `http://localhost:3000`. + The `--execute` flag runs the demo notebooks and populates their outputs, + allowing plots to appear in the rendered pages + +The site will be available at `http://localhost:3000` ## Building Static HTML ```bash -jupyter book build --html --execute +jupyter book build --strict --html --execute ``` -Output is written to `docs/_build/html/`. +Output is written to `docs/_build/html/`. The `--strict` flag checks for broken internal references. ## Directory Layout @@ -62,6 +67,10 @@ docs/ 1. Edit the table of contents `docs/myst.yml` to reflect the updated directory structure +1. Check that a 'strict' build of the docs runs cleanly + + `jupyter book build --strict --html --execute` + ## Publishing Pushing to the `fastsim-3` branch triggers a GitHub Actions workflow diff --git a/docs/content/getting_started.ipynb b/docs/content/getting-started.ipynb similarity index 99% rename from docs/content/getting_started.ipynb rename to docs/content/getting-started.ipynb index ad0a81e0d..aefd5bd1d 100644 --- a/docs/content/getting_started.ipynb +++ b/docs/content/getting-started.ipynb @@ -31,7 +31,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 14, "id": "cell-1", "metadata": {}, "outputs": [], @@ -52,7 +52,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 15, "id": "cell-3", "metadata": {}, "outputs": [ @@ -66,10 +66,11 @@ " PosixPath('2021_Hyundai_Sonata_Hybrid_Blue_thrml.yaml'),\n", " PosixPath('2022 Tesla Model 3 RWD thrml.yaml'),\n", " PosixPath('2022_Renault_Zoe_ZE50_R135.yaml'),\n", - " PosixPath('2026_Chrysler_Pacifica_Select.yaml')]" + " PosixPath('2026_Chrysler_Pacifica_Select.yaml'),\n", + " PosixPath('2026_Chrysler_Pacifica_Select_thrml.yaml')]" ] }, - "execution_count": 2, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -89,7 +90,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 16, "id": "cell-5", "metadata": {}, "outputs": [ @@ -124,7 +125,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 17, "id": "cell-7", "metadata": {}, "outputs": [], @@ -152,7 +153,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 18, "id": "cell-9", "metadata": {}, "outputs": [ @@ -1017,7 +1018,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 19, "id": "cell-11", "metadata": {}, "outputs": [], @@ -1042,7 +1043,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 20, "id": "cell-13", "metadata": {}, "outputs": [ @@ -1074,7 +1075,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 21, "id": "cell-15", "metadata": {}, "outputs": [ @@ -1937,7 +1938,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 22, "id": "cell-17", "metadata": {}, "outputs": [ @@ -2809,7 +2810,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 23, "id": "cell-19", "metadata": {}, "outputs": [ @@ -2850,7 +2851,7 @@ "which is how vehicles are actually tested to measure fuel economy. The EPA\n", "applies a set of \"downward adjustments\" (often around 10-30%) to laboratory\n", "results to better reflect real-world driving for the window sticker. See\n", - "[Comparing Simulations to Label Fuel Economy](../demo_notebooks/demo_label_fe.ipynb)\n", + "[Comparing Simulations to Label Fuel Economy](user-guide/running-simulations/label-fe.ipynb)\n", "for how FASTSim reproduces window sticker values.\n", "\n", "## Modifying Vehicle Parameters\n", @@ -2870,7 +2871,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 24, "id": "cell-21", "metadata": {}, "outputs": [ @@ -2909,7 +2910,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 25, "id": "cell-23", "metadata": {}, "outputs": [ @@ -3764,11 +3765,11 @@ "source": [ "## Where to Go Next\n", "\n", - "- [What Is a Drive Cycle?](demo_drive_cycle.ipynb) covers loading, building,\n", + "- [What Is a Drive Cycle?](user-guide/drive-cycles/drive-cycle.ipynb) covers loading, building,\n", " and editing drive cycles, including road grade.\n", - "- [Vehicles in FASTSim](../content/vehicle.md) describes the vehicle model\n", + "- [Vehicles in FASTSim](user-guide/vehicle-models/vehicle.md) describes the vehicle model\n", " hierarchy in more depth.\n", - "- [What is a SimDrive Object?](../content/simdrive.md) explains the\n", + "- [What is a SimDrive Object?](user-guide/running-simulations/simdrive.md) explains the\n", " simulation object and its parameters." ] } diff --git a/docs/content/installation.md b/docs/content/installation.md index 93413122a..8f42222d6 100644 --- a/docs/content/installation.md +++ b/docs/content/installation.md @@ -38,5 +38,5 @@ quickest start, or build it from source for the latest development version. ## Next Steps With FASTSim installed, head to -[Getting Started](../demo_notebooks/demo_getting_started.ipynb) +[Getting Started](getting-started.ipynb) to load a vehicle, run a simulation, and inspect the results. diff --git a/docs/content/intro.md b/docs/content/intro.md index 569a5a7f8..ad619aec0 100644 --- a/docs/content/intro.md +++ b/docs/content/intro.md @@ -30,9 +30,9 @@ with a Python interface). ## Get Started -- [What is FASTSim?](what-is-fastsim.md): what the tool is and how it models vehicles +- [What is FASTSim?](overview/what-is-fastsim.md): what the tool is and how it models vehicles - [Installation](installation.md): install with pip or build from source -- [Getting Started](../demo_notebooks/getting_started/demo_getting_started.ipynb): load a vehicle, run a simulation, inspect results +- [Getting Started](getting-started.ipynb): load a vehicle, run a simulation, inspect results ## Learn More and Get in Touch diff --git a/docs/content/user-guide/drive-cycles/drive_cycle.ipynb b/docs/content/user-guide/drive-cycles/drive-cycle.ipynb similarity index 100% rename from docs/content/user-guide/drive-cycles/drive_cycle.ipynb rename to docs/content/user-guide/drive-cycles/drive-cycle.ipynb diff --git a/docs/content/user-guide/running-simulations/label_fe.ipynb b/docs/content/user-guide/running-simulations/label-fe.ipynb similarity index 100% rename from docs/content/user-guide/running-simulations/label_fe.ipynb rename to docs/content/user-guide/running-simulations/label-fe.ipynb diff --git a/docs/content/user-guide/running-simulations/trace-miss.ipynb b/docs/content/user-guide/running-simulations/trace-miss.ipynb new file mode 100644 index 000000000..c84b322dd --- /dev/null +++ b/docs/content/user-guide/running-simulations/trace-miss.ipynb @@ -0,0 +1,19 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "14308a79", + "metadata": {}, + "source": [ + "# Missing Trace" + ] + } + ], + "metadata": { + "language_info": { + "name": "python" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/myst.yml b/docs/myst.yml index 799a3b855..a91e1a7d7 100644 --- a/docs/myst.yml +++ b/docs/myst.yml @@ -10,7 +10,7 @@ project: children: - file: content/overview/what-is-fastsim.md - file: content/installation.md - - file: content/getting_started.ipynb + - file: content/getting-started.ipynb - title: User Guide children: - title: Vehicle Models @@ -19,13 +19,14 @@ project: - file: content/user-guide/vehicle-models/custom-vehicles.md - title: Drive Cycles children: - - file: content/user-guide/drive-cycles/drive_cycle.ipynb + - file: content/user-guide/drive-cycles/drive-cycle.ipynb - file: content/user-guide/drive-cycles/telematics.md - title: Running Simulations children: - file: content/user-guide/running-simulations/simdrive.md - file: content/user-guide/running-simulations/editing-sim-params.md - - file: content/user-guide/running-simulations/label_fe.ipynb + - file: content/user-guide/running-simulations/trace-miss.ipynb + - file: content/user-guide/running-simulations/label-fe.ipynb # - file: content/label-fe.md # - title: Demos # children: diff --git a/docs/requirements.txt b/docs/requirements.txt deleted file mode 100644 index 7ec2d3a9c..000000000 --- a/docs/requirements.txt +++ /dev/null @@ -1,2 +0,0 @@ -jupyter-book>=2.0.0 -nbformat diff --git a/pyproject.toml b/pyproject.toml index d2abcf4a2..425f3e245 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -138,6 +138,7 @@ py_build = "maturin develop --release" py_test = { cmd = "pixi run -e test pytest -v" } build_and_test = { depends-on = ["cargo_test", "py_build", "py_test"] } docs = { cmd = "jupyter book start --execute", cwd = "docs", default-environment = "docs" } +build-docs = { cmd = "jupyter book build --strict --html --execute", cwd = "docs", default-environment = "docs" } fmt = "ruff format" # lint = "pylint" # style = { depends-on = ["fmt", "lint"] } From f8cd95a265922c29e3de1386f4b4ad0c5cb72cf0 Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Tue, 14 Jul 2026 10:43:33 -0600 Subject: [PATCH 20/67] use empty brackets for links between md files to autofill heading --- docs/content/installation.md | 5 ++--- docs/content/intro.md | 12 +++--------- .../user-guide/running-simulations/simdrive.md | 1 + .../user-guide/vehicle-models/custom-vehicles.md | 13 ++++++++++--- 4 files changed, 16 insertions(+), 15 deletions(-) diff --git a/docs/content/installation.md b/docs/content/installation.md index 8f42222d6..a67dd4c1c 100644 --- a/docs/content/installation.md +++ b/docs/content/installation.md @@ -33,10 +33,9 @@ quickest start, or build it from source for the latest development version. - Add the `--group dev` flag to install optional developer dependencies. Building from source is not necessary for most use cases. For more detail on - the developer build, see [Compiling from Source](developers/compiling-from-source.md). + the developer build, see [](developers/compiling-from-source.md). ## Next Steps -With FASTSim installed, head to -[Getting Started](getting-started.ipynb) +With FASTSim installed, head to [](getting-started.ipynb) to load a vehicle, run a simulation, and inspect the results. diff --git a/docs/content/intro.md b/docs/content/intro.md index ad619aec0..57b743600 100644 --- a/docs/content/intro.md +++ b/docs/content/intro.md @@ -22,17 +22,11 @@ It can represent a wide range of powertrains, including conventional vehicles FASTSim ships with more than 20 vehicles and a set of standard U.S., European, and Japanese drive cycles, and you can add your own vehicles and drive cycles. -:::{note} -🚧 This page is a work in progress. Still to come: project context and related -NLR tools and projects, and a short note on the project structure (a Rust core -with a Python interface). -::: - ## Get Started -- [What is FASTSim?](overview/what-is-fastsim.md): what the tool is and how it models vehicles -- [Installation](installation.md): install with pip or build from source -- [Getting Started](getting-started.ipynb): load a vehicle, run a simulation, inspect results +- [](overview/what-is-fastsim.md): what the tool is and how it models vehicles +- [](installation.md): install with pip or build from source +- [](getting-started.ipynb): load a vehicle, run a simulation, inspect results ## Learn More and Get in Touch diff --git a/docs/content/user-guide/running-simulations/simdrive.md b/docs/content/user-guide/running-simulations/simdrive.md index cce2afadf..86ac1891c 100644 --- a/docs/content/user-guide/running-simulations/simdrive.md +++ b/docs/content/user-guide/running-simulations/simdrive.md @@ -3,3 +3,4 @@ In FASTSim, a `SimDrive` object is a combination of a `Vehicle` and a `Cycle`. In concept, it is combining *what a vehicle is* and *what the vehicle does* to create a simulation scenario. +For information on how to edit simulation parameters, see [](editing-sim-params) \ No newline at end of file diff --git a/docs/content/user-guide/vehicle-models/custom-vehicles.md b/docs/content/user-guide/vehicle-models/custom-vehicles.md index a9ce52609..0514fbb0e 100644 --- a/docs/content/user-guide/vehicle-models/custom-vehicles.md +++ b/docs/content/user-guide/vehicle-models/custom-vehicles.md @@ -1,5 +1,12 @@ # Modeling a Vehicle -:::{note} -🚧 This page is under construction. It will become a demo notebook. -::: +## Start from an Existing Vehicle + +## Parameterizing Vehicle Specifications +The first step in creating a vehicle is filling in all the information you can readily find + +## Calibration +For more details on label fuel economy comparison, see [](../running-simulations/label-fe.ipynb). + +## + From 2f513a1d1263ee4f5116773afe344abc639bc71d Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Tue, 14 Jul 2026 11:43:20 -0600 Subject: [PATCH 21/67] fix reset name bug --- fastsim-core/src/simdrive/mod.rs | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/fastsim-core/src/simdrive/mod.rs b/fastsim-core/src/simdrive/mod.rs index e11facd8d..862fe8eb0 100644 --- a/fastsim-core/src/simdrive/mod.rs +++ b/fastsim-core/src/simdrive/mod.rs @@ -46,7 +46,7 @@ impl SimDrive { self.walk() } - #[pyo3(name = "reset_py")] + #[pyo3(name = "reset")] /// Combines [Self::reset_cumulative], [Self::reset_step], [Self::clear] fn reset_py(&mut self) -> anyhow::Result<()> { self.reset_cumulative(|| format_dbg!())?; From 25df8830a9847f3bc030a8da377da1d67ca8a280 Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Tue, 14 Jul 2026 11:46:20 -0600 Subject: [PATCH 22/67] simdrive demo --- .../editing-sim-params.ipynb | 25 + .../running-simulations/editing-sim-params.md | 5 - .../running-simulations/simdrive.ipynb | 1308 +++++++++++++++++ .../running-simulations/simdrive.md | 6 - docs/myst.yml | 4 +- 5 files changed, 1335 insertions(+), 13 deletions(-) create mode 100644 docs/content/user-guide/running-simulations/editing-sim-params.ipynb delete mode 100644 docs/content/user-guide/running-simulations/editing-sim-params.md create mode 100644 docs/content/user-guide/running-simulations/simdrive.ipynb delete mode 100644 docs/content/user-guide/running-simulations/simdrive.md diff --git a/docs/content/user-guide/running-simulations/editing-sim-params.ipynb b/docs/content/user-guide/running-simulations/editing-sim-params.ipynb new file mode 100644 index 000000000..027226d2a --- /dev/null +++ b/docs/content/user-guide/running-simulations/editing-sim-params.ipynb @@ -0,0 +1,25 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "71ef037f", + "metadata": {}, + "source": [ + "# Editing Simulation Parameters" + ] + }, + { + "cell_type": "markdown", + "id": "b025a753", + "metadata": {}, + "source": [] + } + ], + "metadata": { + "language_info": { + "name": "python" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/content/user-guide/running-simulations/editing-sim-params.md b/docs/content/user-guide/running-simulations/editing-sim-params.md deleted file mode 100644 index 70917ea33..000000000 --- a/docs/content/user-guide/running-simulations/editing-sim-params.md +++ /dev/null @@ -1,5 +0,0 @@ -# Editing Simulation Parameters - -:::{note} -🚧 This page is under construction. It will become a demo notebook. -::: diff --git a/docs/content/user-guide/running-simulations/simdrive.ipynb b/docs/content/user-guide/running-simulations/simdrive.ipynb new file mode 100644 index 000000000..60d3dddb1 --- /dev/null +++ b/docs/content/user-guide/running-simulations/simdrive.ipynb @@ -0,0 +1,1308 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "5f0cffe8", + "metadata": {}, + "source": [ + "# What is a SimDrive Object?\n", + "\n", + "A `SimDrive` object is the central simulation unit in FASTSim. It combines a\n", + "`Vehicle` (what the vehicle is) and a `Cycle` (what the vehicle does) into a\n", + "single simulation scenario.\n", + "\n", + "Calling `sd.walk()` steps the vehicle through the drive cycle one time step at\n", + "a time, computing energy flows, achieved speed, and component states at each\n", + "step.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "id": "2f32cae5", + "metadata": {}, + "outputs": [], + "source": [ + "import fastsim" + ] + }, + { + "cell_type": "markdown", + "id": "919c1365", + "metadata": {}, + "source": [ + "## Creating a SimDrive\n", + "\n", + "`SimDrive` takes a `Vehicle` and a `Cycle` as arguments. Optionally, a\n", + "`SimParams` object can be passed to customize solver behavior (see\n", + "[Editing Simulation Parameters](editing-sim-params.ipynb)).\n", + "\n", + "Load a bundled vehicle and drive cycle, then construct the simulation object:\n" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "id": "ba374bb3", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "SimDrive { veh: Vehicle { name: \"2012 Ford Fusion\", doc: None, year: 2012, pt_type: ConventionalVehicle(ConventionalVehicle { fs: FuelStorage { pwr_out_max: 1000000.0 m^2 kg^1 s^-3, pwr_ramp_lag: 1.0 s^1, energy_capacity: 2124000000.0 m^2 kg^1 s^-2, specific_energy: None, mass: None }, fc: FuelConverter { thrml: None, mass: None, specific_pwr: None, pwr_out_max: 130500.0 m^2 kg^1 s^-3, pwr_out_max_init: 21750.0 m^2 kg^1 s^-3, pwr_ramp_lag: 6.0 s^1, eff_interp_from_pwr_out: Interp1D(Interp1D { data: InterpData { grid: [[0.0, 0.005, 0.015, 0.04, 0.06, 0.1, 0.14, 0.2, 0.4, 0.6, 0.8, 1.0], shape=[12], strides=[1], layout=CFcf (0xf), const ndim=1], values: [0.1, 0.12, 0.16, 0.22, 0.28, 0.33, 0.35, 0.36, 0.35, 0.34, 0.32, 0.3], shape=[12], strides=[1], layout=CFcf (0xf), const ndim=1 }, strategy: Linear(Linear), extrapolate: Error }), pwr_for_peak_eff: 26100.0 m^2 kg^1 s^-3, pwr_idle_fuel: 0.0 m^2 kg^1 s^-3, state: FuelConverterState { i: TrackedState(0, Fresh), pwr_out_max: TrackedState(0.0 m^2 kg^1 s^-3, Fresh), pwr_prop_max: TrackedState(0.0 m^2 kg^1 s^-3, Fresh), eff: TrackedState(0.0, Fresh), pwr_prop: TrackedState(0.0 m^2 kg^1 s^-3, Fresh), energy_prop: TrackedState(0.0 m^2 kg^1 s^-2, Fresh), pwr_aux: TrackedState(0.0 m^2 kg^1 s^-3, Fresh), energy_aux: TrackedState(0.0 m^2 kg^1 s^-2, Fresh), pwr_fuel: TrackedState(0.0 m^2 kg^1 s^-3, Fresh), energy_fuel: TrackedState(0.0 m^2 kg^1 s^-2, Fresh), pwr_loss: TrackedState(0.0 m^2 kg^1 s^-3, Fresh), energy_loss: TrackedState(0.0 m^2 kg^1 s^-2, Fresh), fc_on: TrackedState(false, Fresh), time_on: TrackedState(0.0 s^1, Fresh) }, history: FuelConverterStateHistoryVec { i: [], pwr_out_max: [], pwr_prop_max: [], eff: [], pwr_prop: [], energy_prop: [], pwr_aux: [], energy_aux: [], pwr_fuel: [], energy_fuel: [], pwr_loss: [], energy_loss: [], fc_on: [], time_on: [] }, save_interval: Some(1) }, transmission: Transmission { mass: None, eff_interp: Interp0D(Interp0D(0.875)), state: TransmissionState { i: TrackedState(0, Fresh), pwr_out_fwd_max: TrackedState(0.0 m^2 kg^1 s^-3, Fresh), pwr_out_regen_max: TrackedState(0.0 m^2 kg^1 s^-3, Fresh), eff: TrackedState(0.0, Fresh), pwr_out: TrackedState(0.0 m^2 kg^1 s^-3, Fresh), energy_out: TrackedState(0.0 m^2 kg^1 s^-2, Fresh), pwr_in: TrackedState(0.0 m^2 kg^1 s^-3, Fresh), energy_in: TrackedState(0.0 m^2 kg^1 s^-2, Fresh), pwr_loss: TrackedState(0.0 m^2 kg^1 s^-3, Fresh), energy_loss: TrackedState(0.0 m^2 kg^1 s^-2, Fresh) }, history: TransmissionStateHistoryVec { i: [], pwr_out_fwd_max: [], pwr_out_regen_max: [], eff: [], pwr_out: [], energy_out: [], pwr_in: [], energy_in: [], pwr_loss: [], energy_loss: [] }, save_interval: Some(1) }, pt_cntrl: Normal, dfco_cntrl: DfcoControls { dfco_enabled: false, minimum_dfco_speed: 0.0 m^1 s^-1, minimum_dfco_deceleration: 0.0 m^1 s^-2, save_interval: None, state: DfcoState { i: TrackedState(0, Fresh), vehicle_dynamics_prevent_dfco: TrackedState(false, Fresh) }, history: DfcoStateHistoryVec { i: [], vehicle_dynamics_prevent_dfco: [] } }, mass: None, alt_eff: 1.0 }), chassis: Chassis { drag_coef: 0.393, frontal_area: 2.12 m^2, wheel_rr_coef: 0.007, wheel_inertia: 0.82 m^2 kg^1, num_wheels: 4, wheel_radius: Some(0.326 m^1), tire_code: None, cg_height: 0.53 m^1, wheel_fric_coef: 0.7, drive_type: FWD, drive_axle_weight_frac: 0.59, wheel_base: 2.72 m^1, mass: None, glider_mass: None, cargo_mass: None }, cabin: None, hvac: None, mass: Some(1644.2724500334996 kg^1), pwr_aux_base: 700.0 m^2 kg^1 s^-3, save_interval: Some(1), state: VehicleState { i: TrackedState(0, Fresh), time: TrackedState(0.0 s^1, Fresh), pwr_prop_fwd_max: TrackedState(0.0 m^2 kg^1 s^-3, Fresh), speed_trac_fwd_max: TrackedState(0.0 m^1 s^-1, Fresh), pwr_prop_bwd_max: TrackedState(0.0 m^2 kg^1 s^-3, Fresh), pwr_tractive: TrackedState(0.0 m^2 kg^1 s^-3, Fresh), pwr_tractive_for_cyc: TrackedState(0.0 m^2 kg^1 s^-3, Fresh), energy_tractive: TrackedState(0.0 m^2 kg^1 s^-2, Fresh), pwr_aux: TrackedState(0.0 m^2 kg^1 s^-3, Fresh), energy_aux: TrackedState(0.0 m^2 kg^1 s^-2, Fresh), pwr_drag: TrackedState(0.0 m^2 kg^1 s^-3, Fresh), energy_drag: TrackedState(0.0 m^2 kg^1 s^-2, Fresh), pwr_accel: TrackedState(0.0 m^2 kg^1 s^-3, Fresh), energy_accel: TrackedState(0.0 m^2 kg^1 s^-2, Fresh), pwr_ascent: TrackedState(0.0 m^2 kg^1 s^-3, Fresh), energy_ascent: TrackedState(0.0 m^2 kg^1 s^-2, Fresh), pwr_rr: TrackedState(0.0 m^2 kg^1 s^-3, Fresh), energy_rr: TrackedState(0.0 m^2 kg^1 s^-2, Fresh), pwr_whl_inertia: TrackedState(0.0 m^2 kg^1 s^-3, Fresh), energy_whl_inertia: TrackedState(0.0 m^2 kg^1 s^-2, Fresh), pwr_brake: TrackedState(0.0 m^2 kg^1 s^-3, Fresh), energy_brake: TrackedState(0.0 m^2 kg^1 s^-2, Fresh), cyc_met: TrackedState(true, Fresh), cyc_met_overall: TrackedState(true, Fresh), speed_ach: TrackedState(0.0 m^1 s^-1, Fresh), dist: TrackedState(0.0 m^1, Fresh), grade_curr: TrackedState(0.0, Fresh), elev_curr: TrackedState(0.0 m^1, Fresh), air_density: TrackedState(0.0 m^-3 kg^1, Fresh), mass: TrackedState(NaN kg^1, Fresh) }, history: VehicleStateHistoryVec { i: [], time: [], pwr_prop_fwd_max: [], speed_trac_fwd_max: [], pwr_prop_bwd_max: [], pwr_tractive: [], pwr_tractive_for_cyc: [], energy_tractive: [], pwr_aux: [], energy_aux: [], pwr_drag: [], energy_drag: [], pwr_accel: [], energy_accel: [], pwr_ascent: [], energy_ascent: [], pwr_rr: [], energy_rr: [], pwr_whl_inertia: [], energy_whl_inertia: [], pwr_brake: [], energy_brake: [], cyc_met: [], cyc_met_overall: [], speed_ach: [], dist: [], grade_curr: [], elev_curr: [], air_density: [], mass: [] } }, cyc: Cycle { name: 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m^2 kg^1 s^-3, 0.0 m^2 kg^1 s^-3, 0.0 m^2 kg^1 s^-3, 0.0 m^2 kg^1 s^-3, 0.0 m^2 kg^1 s^-3, 0.0 m^2 kg^1 s^-3, 0.0 m^2 kg^1 s^-3, 0.0 m^2 kg^1 s^-3, 0.0 m^2 kg^1 s^-3, 0.0 m^2 kg^1 s^-3], grade_interp: Some(Interp0D(Interp0D(0.0))), elev_interp: Some(Interp0D(Interp0D(121.92))) }, sim_params: SimParams { ach_speed_max_iter: 3, ach_speed_tol: 0.001, ach_speed_solver_gain: 0.9, trace_miss_tol: TraceMissTolerance { tol_dist: 100.0 m^1, tol_dist_frac: 0.05, tol_speed: 10.0 m^1 s^-1, tol_speed_frac: 0.5 }, trace_miss_opts: Error, trace_miss_correct_max_steps: 6, f2_const_air_density: true, ambient_thermal_soak: false } }\n" + ] + } + ], + "source": [ + "# Load a bundled vehicle\n", + "veh = fastsim.Vehicle.from_resource(\"2012_Ford_Fusion.yaml\")\n", + "\n", + "# Load a bundled drive cycle\n", + "cyc = fastsim.Cycle.from_resource(\"udds.csv\")\n", + "\n", + "# Combine into a simulation scenario\n", + "sd = fastsim.SimDrive(veh, cyc)\n", + "print(sd)\n" + ] + }, + { + "cell_type": "markdown", + "id": "b03ac87f", + "metadata": {}, + "source": [ + "## Running the Simulation\n", + "\n", + "Call `sd.walk()` to execute the simulation. This steps through every time step\n", + "in the cycle and computes the vehicle's energy flows, achieved speed, and\n", + "component states.\n", + "\n", + "`walk()` applies powertrain-specific corrections automatically:\n", + "\n", + "- **Conventional**: simulates once.\n", + "- **BEV / PHEV**: sets initial SOC to the maximum before simulating.\n", + "- **HEV**: iterates until the initial and final SOC are balanced (charge-sustaining operation).\n", + "\n", + "If you need to run exactly one iteration without any of those corrections (e.g.,\n", + "you have already set an initial SOC yourself in the RES `state`), use `sd.walk_once()` instead.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "id": "7ad2067d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Simulation complete.\n" + ] + } + ], + "source": [ + "sd = fastsim.SimDrive(veh, cyc)\n", + "sd.walk()\n", + "print(\"Simulation complete.\")\n" + ] + }, + { + "cell_type": "markdown", + "id": "1082a68a", + "metadata": {}, + "source": [ + "## Extracting Results\n", + "\n", + "After `walk()`, the simulation results are stored inside the `SimDrive` object.\n", + "There are two primary ways to access them.\n", + "\n", + "### `to_dataframe()`\n", + "\n", + "Returns a tidy `pandas.DataFrame` with one row per time step and one column per\n", + "tracked quantity. Column names use dot-separated paths that mirror the object\n", + "hierarchy (`cyc.time_seconds`, `veh.history.speed_ach_meters_per_second`, etc.).\n", + "\n", + "This is the most convenient format for plotting and analysis.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "id": "428b2bf1", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1370 time steps, 62 columns\n", + "\n", + "First few column names:\n", + "['veh.pt_type.Conv.fc.history.i', 'veh.pt_type.Conv.fc.history.pwr_out_max_watts', 'veh.pt_type.Conv.fc.history.pwr_prop_max_watts', 'veh.pt_type.Conv.fc.history.eff', 'veh.pt_type.Conv.fc.history.pwr_prop_watts', 'veh.pt_type.Conv.fc.history.energy_prop_joules', 'veh.pt_type.Conv.fc.history.pwr_aux_watts', 'veh.pt_type.Conv.fc.history.energy_aux_joules']\n" + ] + } + ], + "source": [ + "df = sd.to_dataframe(pandas=True)\n", + "print(f\"{len(df)} time steps, {len(df.columns)} columns\")\n", + "print(\"\\nFirst few column names:\")\n", + "print(df.columns.tolist()[:8])\n" + ] + }, + { + "cell_type": "markdown", + "id": "57e8eb44", + "metadata": {}, + "source": [ + "Plot achieved speed against the target cycle speed to confirm the vehicle\n", + "followed the trace:\n" + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "id": "2865d686", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "line": { + "dash": "dash", + "width": 4 + }, + "name": "Target", + "type": "scatter", + "x": { + "bdata": 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+ "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + }, + "yaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + } + } + }, + "title": { + "text": "Target vs. Achieved Speed (UDDS)" + }, + "xaxis": { + "title": { + "text": "Time [s]" + } + }, + "yaxis": { + "title": { + "text": "Speed [m/s]" + } + } + } + } + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import plotly.graph_objects as go\n", + "\n", + "fig = go.Figure()\n", + "fig.add_trace(go.Scatter(\n", + " x=df[\"cyc.time_seconds\"],\n", + " y=df[\"cyc.speed_meters_per_second\"],\n", + " name=\"Target\",\n", + " line={\"dash\": \"dash\", \"width\": 4},\n", + "))\n", + "fig.add_trace(go.Scatter(\n", + " x=df[\"cyc.time_seconds\"],\n", + " y=df[\"veh.history.speed_ach_meters_per_second\"],\n", + " name=\"Achieved\",\n", + "))\n", + "fig.update_layout(\n", + " xaxis_title=\"Time [s]\",\n", + " yaxis_title=\"Speed [m/s]\",\n", + " title=\"Target vs. Achieved Speed (UDDS)\",\n", + ")\n", + "fig.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 84, + "id": "72b276d4", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 84, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "all(df[\"veh.history.cyc_met\"])" + ] + }, + { + "cell_type": "markdown", + "id": "f32085cf", + "metadata": {}, + "source": [ + "### `to_pydict()`\n", + "\n", + "`to_pydict(flatten=True)` returns a flat dictionary mapping dotted key paths to\n", + "scalar values (cumulative totals and final states). This is useful for\n", + "extracting summary metrics such as total fuel consumed or total distance driven.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 85, + "id": "24f077c6", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Distance driven: 7.45 miles\n", + "Fuel consumed: 7.303 kWh (0.2167 gal)\n", + "Fuel economy: 34.4 mpgge\n" + ] + } + ], + "source": [ + "sd_dict = sd.to_pydict(flatten=True)\n", + "\n", + "fuel_joules = sd_dict[\"veh.pt_type.Conv.fc.state.energy_fuel_joules\"]\n", + "dist_meters = sd_dict[\"veh.state.dist_meters\"]\n", + "\n", + "KWH_PER_GGE = 33.7\n", + "METERS_PER_MILE = 1609.34\n", + "\n", + "fuel_kwh = fuel_joules / 3.6e6\n", + "miles = dist_meters / METERS_PER_MILE\n", + "mpg = miles / (fuel_kwh / KWH_PER_GGE)\n", + "\n", + "print(f\"Distance driven: {miles:.2f} miles\")\n", + "print(f\"Fuel consumed: {fuel_kwh:.3f} kWh ({fuel_kwh / KWH_PER_GGE:.4f} gal)\")\n", + "print(f\"Fuel economy: {mpg:.1f} mpgge\")\n" + ] + }, + { + "cell_type": "markdown", + "id": "93aa734b", + "metadata": {}, + "source": [ + "## Controlling State History with `set_save_interval`\n", + "\n", + "Predefined vehicles default to `save_interval = 1`, which records internal state at\n", + "every time step. This is required for `to_dataframe()` and per-step plots.\n", + "\n", + "You can change this behavior:\n", + "\n", + "| Value | Behavior |\n", + "|-------|----------|\n", + "| `1` | Record every time step (default for predefined vehicles) |\n", + "| `N` | Record every N-th time step |\n", + "| `None`| Disable history recording entirely (fastest; only final/cumulative state is available) |\n", + "\n", + "Use `None` when you only need summary results (accumulated energy, distance, etc.)\n", + "and want to reduce memory usage and runtime:\n" + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "id": "40d9148e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Fuel economy (no history): 34.4 mpgge\n" + ] + } + ], + "source": [ + "veh_no_hist = fastsim.Vehicle.from_resource(\"2012_Ford_Fusion.yaml\")\n", + "veh_no_hist.set_save_interval(None) # disable per-step history\n", + "\n", + "sd_no_hist = fastsim.SimDrive(veh_no_hist, cyc)\n", + "sd_no_hist.walk()\n", + "\n", + "sd_dict_no_hist = sd_no_hist.to_pydict(flatten=True)\n", + "fuel_kwh_no_hist = sd_dict_no_hist[\"veh.pt_type.Conv.fc.state.energy_fuel_joules\"] / 3.6e6\n", + "miles_no_hist = sd_dict_no_hist[\"veh.state.dist_meters\"] / METERS_PER_MILE\n", + "mpg_no_hist = miles_no_hist / (fuel_kwh_no_hist / KWH_PER_GGE)\n", + "print(f\"Fuel economy (no history): {mpg_no_hist:.1f} mpgge\")\n" + ] + }, + { + "cell_type": "markdown", + "id": "63798f3a", + "metadata": {}, + "source": [ + "Without saving history, there will be no time-series simulation data to inspect." + ] + }, + { + "cell_type": "code", + "execution_count": 87, + "id": "9e7122aa", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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veh.pt_type.Conv.fc.history.iveh.pt_type.Conv.fc.history.pwr_out_max_wattsveh.pt_type.Conv.fc.history.pwr_prop_max_wattsveh.pt_type.Conv.fc.history.effveh.pt_type.Conv.fc.history.pwr_prop_wattsveh.pt_type.Conv.fc.history.energy_prop_joulesveh.pt_type.Conv.fc.history.pwr_aux_wattsveh.pt_type.Conv.fc.history.energy_aux_joulesveh.pt_type.Conv.fc.history.pwr_fuel_wattsveh.pt_type.Conv.fc.history.energy_fuel_joules...veh.history.pwr_brake_wattsveh.history.energy_brake_joulesveh.history.cyc_metveh.history.cyc_met_overallveh.history.speed_ach_meters_per_secondveh.history.dist_metersveh.history.grade_currveh.history.elev_curr_metersveh.history.air_density_kilograms_per_cubic_meterveh.history.mass_kilograms
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" + ], + "text/plain": [ + "Empty DataFrame\n", + "Columns: [veh.pt_type.Conv.fc.history.i, veh.pt_type.Conv.fc.history.pwr_out_max_watts, veh.pt_type.Conv.fc.history.pwr_prop_max_watts, veh.pt_type.Conv.fc.history.eff, veh.pt_type.Conv.fc.history.pwr_prop_watts, veh.pt_type.Conv.fc.history.energy_prop_joules, veh.pt_type.Conv.fc.history.pwr_aux_watts, veh.pt_type.Conv.fc.history.energy_aux_joules, veh.pt_type.Conv.fc.history.pwr_fuel_watts, veh.pt_type.Conv.fc.history.energy_fuel_joules, veh.pt_type.Conv.fc.history.pwr_loss_watts, veh.pt_type.Conv.fc.history.energy_loss_joules, veh.pt_type.Conv.fc.history.fc_on, veh.pt_type.Conv.fc.history.time_on_seconds, veh.pt_type.Conv.transmission.history.i, veh.pt_type.Conv.transmission.history.pwr_out_fwd_max_watts, veh.pt_type.Conv.transmission.history.pwr_out_regen_max_watts, veh.pt_type.Conv.transmission.history.eff, veh.pt_type.Conv.transmission.history.pwr_out_watts, veh.pt_type.Conv.transmission.history.energy_out_joules, veh.pt_type.Conv.transmission.history.pwr_in_watts, veh.pt_type.Conv.transmission.history.energy_in_joules, veh.pt_type.Conv.transmission.history.pwr_loss_watts, veh.pt_type.Conv.transmission.history.energy_loss_joules, veh.pt_type.Conv.dfco_cntrl.history.i, veh.pt_type.Conv.dfco_cntrl.history.vehicle_dynamics_prevent_dfco, veh.history.i, veh.history.time_seconds, veh.history.pwr_prop_fwd_max_watts, veh.history.speed_trac_fwd_max_meters_per_second, veh.history.pwr_prop_bwd_max_watts, veh.history.pwr_tractive_watts, veh.history.pwr_tractive_for_cyc_watts, veh.history.energy_tractive_joules, veh.history.pwr_aux_watts, veh.history.energy_aux_joules, veh.history.pwr_drag_watts, veh.history.energy_drag_joules, veh.history.pwr_accel_watts, veh.history.energy_accel_joules, veh.history.pwr_ascent_watts, veh.history.energy_ascent_joules, veh.history.pwr_rr_watts, veh.history.energy_rr_joules, veh.history.pwr_whl_inertia_watts, veh.history.energy_whl_inertia_joules, veh.history.pwr_brake_watts, veh.history.energy_brake_joules, veh.history.cyc_met, veh.history.cyc_met_overall, veh.history.speed_ach_meters_per_second, veh.history.dist_meters, veh.history.grade_curr, veh.history.elev_curr_meters, veh.history.air_density_kilograms_per_cubic_meter, veh.history.mass_kilograms]\n", + "Index: []\n", + "\n", + "[0 rows x 56 columns]" + ] + }, + "execution_count": 87, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sd_no_hist.to_dataframe(pandas=True)" + ] + }, + { + "cell_type": "markdown", + "id": "ca2e7913", + "metadata": {}, + "source": [ + "## Running Multiple Simulations\n", + "\n", + "To compare the same vehicle on different cycles, create new `SimDrive` objects\n", + "with the shared vehicle. This is efficient since the vehicle parameters are\n", + "only loaded once and reused.\n", + "\n", + "To reset accumulated state and cumulative energy totals, call `sd.reset()` to\n", + "clear per-step history and totals without reloading the vehicle and cycle.\n", + "\n", + "As an example, here the vehicle is simulated on both city (UDDS) and highway\n", + "(HWFET) cycles:\n" + ] + }, + { + "cell_type": "code", + "execution_count": 88, + "id": "c96b0299", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "UDDS (city) fuel economy: 34.4 mpgge\n", + "HWFET (highway) fuel economy: 47.0 mpgge\n" + ] + } + ], + "source": [ + "cyc_hwy = fastsim.Cycle.from_resource(\"hwfet.csv\")\n", + "\n", + "# Option 1: Create a new SimDrive with the highway cycle\n", + "sd_hwy = fastsim.SimDrive(veh, cyc_hwy)\n", + "sd_hwy.walk()\n", + "\n", + "# Option 2: Reset and swap the cycle via pydict:\n", + "# sd.reset()\n", + "# sd_dict = sd.to_pydict()\n", + "# sd_dict[\"cyc\"] = cyc_hwy.to_pydict()\n", + "# sd_hwy = fastsim.SimDrive.from_pydict(sd_dict)\n", + "# sd_hwy.walk()\n", + "\n", + "sd_hwy_dict = sd_hwy.to_pydict(flatten=True)\n", + "fuel_kwh_hwy = sd_hwy_dict[\"veh.pt_type.Conv.fc.state.energy_fuel_joules\"] / 3.6e6\n", + "miles_hwy = sd_hwy_dict[\"veh.state.dist_meters\"] / METERS_PER_MILE\n", + "mpg_hwy = miles_hwy / (fuel_kwh_hwy / KWH_PER_GGE)\n", + "\n", + "print(f\"UDDS (city) fuel economy: {mpg:.1f} mpgge\")\n", + "print(f\"HWFET (highway) fuel economy: {mpg_hwy:.1f} mpgge\")\n" + ] + }, + { + "cell_type": "markdown", + "id": "7c3436f4", + "metadata": {}, + "source": [ + "Note that these outputs are *unadjusted* fuel economy and do not accurately reflect the true label fuel economy. For information on matching label fuel economy with FASTSim, see [Comparing Simulations to Label Fuel Economy](label-fe.ipynb)." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.14.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/content/user-guide/running-simulations/simdrive.md b/docs/content/user-guide/running-simulations/simdrive.md deleted file mode 100644 index 86ac1891c..000000000 --- a/docs/content/user-guide/running-simulations/simdrive.md +++ /dev/null @@ -1,6 +0,0 @@ -# What is a SimDrive Object? -## Combining a Vehicle and Drive Cycle - -In FASTSim, a `SimDrive` object is a combination of a `Vehicle` and a `Cycle`. In concept, it is combining *what a vehicle is* and *what the vehicle does* to create a simulation scenario. - -For information on how to edit simulation parameters, see [](editing-sim-params) \ No newline at end of file diff --git a/docs/myst.yml b/docs/myst.yml index a91e1a7d7..a1e213131 100644 --- a/docs/myst.yml +++ b/docs/myst.yml @@ -23,8 +23,8 @@ project: - file: content/user-guide/drive-cycles/telematics.md - title: Running Simulations children: - - file: content/user-guide/running-simulations/simdrive.md - - file: content/user-guide/running-simulations/editing-sim-params.md + - file: content/user-guide/running-simulations/simdrive.ipynb + - file: content/user-guide/running-simulations/editing-sim-params.ipynb - file: content/user-guide/running-simulations/trace-miss.ipynb - file: content/user-guide/running-simulations/label-fe.ipynb # - file: content/label-fe.md From d73d1326d432cde5ed393c2dc1512b5fe7594a03 Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Tue, 14 Jul 2026 13:08:25 -0600 Subject: [PATCH 23/67] fill out trace miss demo --- .../running-simulations/simdrive.ipynb | 8 + .../running-simulations/trace-miss.ipynb | 2154 ++++++++++++++++- 2 files changed, 2160 insertions(+), 2 deletions(-) diff --git a/docs/content/user-guide/running-simulations/simdrive.ipynb b/docs/content/user-guide/running-simulations/simdrive.ipynb index 60d3dddb1..d6699b2c2 100644 --- a/docs/content/user-guide/running-simulations/simdrive.ipynb +++ b/docs/content/user-guide/running-simulations/simdrive.ipynb @@ -1042,6 +1042,14 @@ "all(df[\"veh.history.cyc_met\"])" ] }, + { + "cell_type": "markdown", + "id": "c558356d", + "metadata": {}, + "source": [ + "FASTSim also has options for when the vehicle cannot meet the physical demands of the drive cycle. See [Handling Trace Miss](trace-miss.ipynb) for more information." + ] + }, { "cell_type": "markdown", "id": "f32085cf", diff --git a/docs/content/user-guide/running-simulations/trace-miss.ipynb b/docs/content/user-guide/running-simulations/trace-miss.ipynb index c84b322dd..173c97eee 100644 --- a/docs/content/user-guide/running-simulations/trace-miss.ipynb +++ b/docs/content/user-guide/running-simulations/trace-miss.ipynb @@ -5,13 +5,2163 @@ "id": "14308a79", "metadata": {}, "source": [ - "# Missing Trace" + "# Handling Trace Miss\n", + "\n", + "Trace miss occurs when a vehicle cannot achieve the prescribed speed of the drive cycle. For vehicles, this may be due to high vehicle mass, sluggish acceleration limits, etc. For cycles, this may be due to unrealistically aggressive jumps in speed or road grade.\n", + "\n", + "Trace miss handling and tolerances are configured by setting simulation parameters. For detailed information, see [Editing Simulation Parameters](editing-sim-params.ipynb)." + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "ae54eedd", + "metadata": {}, + "outputs": [], + "source": [ + "import fastsim\n", + "import numpy as np\n", + "import plotly.graph_objects as go\n" + ] + }, + { + "cell_type": "markdown", + "id": "eac971b7", + "metadata": {}, + "source": [ + "## Building a Challenging Cycle\n", + "\n", + "This cycle has a sharp acceleration from 0 to 8 m/s (~18 mph) in just one second, which a\n", + "typical vehicle cannot fully achieve:\n" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "36ae23ad", + "metadata": {}, + "outputs": [], + "source": [ + "# Create a custom cycle with sharp acceleration\n", + "cyc_dict = {\n", + " \"time_seconds\": [0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0],\n", + " \"speed_meters_per_second\": [0.0, 8.0, 8.0, 8.0, 8.0, 8.0, 4.0, 0.0, 0.0],\n", + "}\n", + "cyc = fastsim.Cycle.from_pydict(cyc_dict)\n", + "\n", + "# Load vehicle\n", + "veh = fastsim.Vehicle.from_resource(\"2012_Ford_Fusion.yaml\")\n" + ] + }, + { + "cell_type": "markdown", + "id": "63d8ecec", + "metadata": {}, + "source": [ + "## Trace Miss Options\n", + "\n", + "`TraceMissOptions` controls what happens when the vehicle cannot match the\n", + "target speed. The default is `\"Error\"` (raise an exception), but four options\n", + "are available:\n", + "\n", + "| Option | Behavior |\n", + "|--------|----------|\n", + "| `\"Error\"` | (default) Throw an error when trace miss occurs |\n", + "| `\"Allow\"` | Silently allow trace miss without correction or validation |\n", + "| `\"AllowChecked\"` | Allow trace miss only if it stays within specified tolerances |\n", + "| `\"Correct\"` | Correct the trace by adjusting the driver model to catch up with the cycle |\n" + ] + }, + { + "cell_type": "markdown", + "id": "9ceaac11", + "metadata": {}, + "source": [ + "### Option 1: Error (default)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "4a8c48f0", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Expected error: RuntimeError\n", + "Message (truncated): solver step failed at line [fastsim-core/src/simdrive/mod.rs:304]\n", + "time step: 1\n", + " with originating err...\n" + ] + } + ], + "source": [ + "# By default, SimParams uses \"Error\" for trace miss\n", + "sd_error = fastsim.SimDrive(veh, cyc)\n", + "try:\n", + " sd_error.walk()\n", + "except Exception as e:\n", + " print(f\"Expected error: {type(e).__name__}\")\n", + " print(f\"Message (truncated): {str(e)[:100]}...\")\n" + ] + }, + { + "cell_type": "markdown", + "id": "85348cac", + "metadata": {}, + "source": [ + "### Option 2: Allow\n" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "ffb929d7", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Simulation completed without error. 9 time steps recorded.\n" + ] + } + ], + "source": [ + "# Use \"Allow\" to silently permit the vehicle to fall behind\n", + "params = fastsim.SimParams.default().to_pydict()\n", + "params[\"trace_miss_opts\"] = \"Allow\"\n", + "\n", + "veh_allow = fastsim.Vehicle.from_resource(\"2012_Ford_Fusion.yaml\")\n", + "sd_allow = fastsim.SimDrive(veh_allow, cyc, fastsim.SimParams.from_pydict(params))\n", + "sd_allow.walk()\n", + "\n", + "df_allow = sd_allow.to_dataframe(pandas=True)\n", + "print(f\"Simulation completed without error. {len(df_allow)} time steps recorded.\")\n" + ] + }, + { + "cell_type": "markdown", + "id": "d5b0efb0", + "metadata": {}, + "source": [ + "### Option 3: AllowChecked\n", + "\n", + "The `\"AllowChecked\"` option allows trace miss only if it stays within specified\n", + "tolerances. This provides a middle ground between permissive and strict behavior.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "id": "25486c49", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Simulation with AllowChecked completed. 9 time steps recorded.\n" + ] + } + ], + "source": [ + "# Use \"AllowChecked\" with custom tolerances\n", + "params = fastsim.SimParams.default().to_pydict()\n", + "params[\"trace_miss_opts\"] = \"AllowChecked\"\n", + "# Very relaxed tolerances for this extremely challenging cycle\n", + "params[\"trace_miss_tol\"] = {\n", + " \"tol_dist\": 5000.0,\n", + " \"tol_speed\": 10.0,\n", + " \"tol_dist_frac\": 1.0,\n", + " \"tol_speed_frac\": 0.75\n", + "}\n", + "\n", + "veh_checked = fastsim.Vehicle.from_resource(\"2012_Ford_Fusion.yaml\")\n", + "sd_checked = fastsim.SimDrive(veh_checked, cyc, fastsim.SimParams.from_pydict(params))\n", + "sd_checked.walk()\n", + "\n", + "df_checked = sd_checked.to_dataframe(pandas=True)\n", + "print(f\"Simulation with AllowChecked completed. {len(df_checked)} time steps recorded.\")\n" + ] + }, + { + "cell_type": "markdown", + "id": "e1c2bff8", + "metadata": {}, + "source": [ + "### Option 4: Correct\n", + "\n", + "The `\"Correct\"` option uses a driver model to adjust the acceleration/deceleration\n", + "and catch back up to the cycle target. The `trace_miss_correct_max_steps`\n", + "parameter controls the maximum number of steps to re-rendezvous.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "id": "a9180a23", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Simulation with correction completed. 9 time steps recorded.\n" + ] + } + ], + "source": [ + "# Use \"Correct\" to automatically adjust the driver to catch back up\n", + "params = fastsim.SimParams.default().to_pydict()\n", + "params[\"trace_miss_opts\"] = \"Correct\"\n", + "params[\"trace_miss_correct_max_steps\"] = 6\n", + "\n", + "veh_correct = fastsim.Vehicle.from_resource(\"2012_Ford_Fusion.yaml\")\n", + "sd_correct = fastsim.SimDrive(veh_correct, cyc, fastsim.SimParams.from_pydict(params))\n", + "sd_correct.walk()\n", + "\n", + "df_correct = sd_correct.to_dataframe(pandas=True)\n", + "print(f\"Simulation with correction completed. {len(df_correct)} time steps recorded.\")\n" + ] + }, + { + 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y=df_correct[\"veh.history.speed_ach_meters_per_second\"],\n", + " name=\"Correct\", mode=\"lines\",\n", + " line={\"color\": \"green\"}\n", + "))\n", + "\n", + "fig.update_layout(\n", + " title=\"Speed vs Time for Each Trace Miss Option\",\n", + " xaxis_title=\"Time [s]\",\n", + " yaxis_title=\"Speed [m/s]\",\n", + " hovermode=\"x unified\",\n", + ")\n", + "\n", + "fig.show()\n" + ] + }, + { + "cell_type": "markdown", + "id": "1bc0e317", + "metadata": {}, + "source": [ + "Why does the trace miss correction option overshoot the prescribed speed? Let's evaluate the achieved simulation distance to find out:" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "387b8071", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "line": { + "color": "black", + "dash": "dash", + "width": 2 + }, + "mode": "lines", + "name": "Target", + "type": "scatter", + "x": { + "bdata": "AAAAAAAAAAAAAAAAAADwPwAAAAAAAABAAAAAAAAACEAAAAAAAAAQQAAAAAAAABRAAAAAAAAAGEAAAAAAAAAcQAAAAAAAACBA", + "dtype": "f8" + }, + "y": { + "bdata": "AAAAAAAAAAAAAAAAAAAgQAAAAAAAADBAAAAAAAAAOEAAAAAAAABAQAAAAAAAAERAAAAAAAAARkAAAAAAAABGQAAAAAAAAEZA", + "dtype": "f8" + } + }, + { + "line": { + "color": "orange" + }, + "mode": "lines", + "name": "Allow", + "type": "scatter", + "x": { + "bdata": "AAAAAAAAAAAAAAAAAADwPwAAAAAAAABAAAAAAAAACEAAAAAAAAAQQAAAAAAAABRAAAAAAAAAGEAAAAAAAAAcQAAAAAAAACBA", + "dtype": "f8" + }, + "y": { + "bdata": 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"showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "yaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "zaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + } + }, + "shapedefaults": { + "line": { + "color": "#2a3f5f" + } + }, + "ternary": { + "aaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "baxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "caxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "title": { + "x": 0.05 + }, + "xaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + }, + "yaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + } + } + }, + "title": { + "text": "Distance vs Time for Each Trace Miss Option" + }, + "xaxis": { + "title": { + "text": "Time [s]" + } + }, + "yaxis": { + "title": { + "text": "Distance [m]" + } + } + } + } + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig_time = go.Figure()\n", + "\n", + "# Target cycle\n", + "fig_time.add_trace(go.Scatter(\n", + " x=cyc_time, y=cyc_dist,\n", + " name=\"Target\", mode=\"lines\",\n", + " line={\"dash\": \"dash\", \"width\": 2, \"color\": \"black\"}\n", + "))\n", + "\n", + "# Allow (permissive)\n", + "fig_time.add_trace(go.Scatter(\n", + " x=df_allow[\"cyc.time_seconds\"],\n", + " y=df_allow[\"veh.history.dist_meters\"],\n", + " name=\"Allow\", mode=\"lines\",\n", + " line={\"color\": \"orange\"}\n", + "))\n", + "\n", + "# AllowChecked (with tolerances)\n", + "fig_time.add_trace(go.Scatter(\n", + " x=df_checked[\"cyc.time_seconds\"],\n", + " y=df_checked[\"veh.history.dist_meters\"],\n", + " name=\"AllowChecked\", mode=\"lines\",\n", + " line={\"color\": \"blue\"}\n", + "))\n", + "\n", + "# Correct (adaptive)\n", + "fig_time.add_trace(go.Scatter(\n", + " x=df_correct[\"cyc.time_seconds\"],\n", + " y=df_correct[\"veh.history.dist_meters\"],\n", + " name=\"Correct\", mode=\"lines\",\n", + " line={\"color\": \"green\"}\n", + "))\n", + "\n", + "fig_time.update_layout(\n", + " title=\"Distance vs Time for Each Trace Miss Option\",\n", + " xaxis_title=\"Time [s]\",\n", + " yaxis_title=\"Distance [m]\",\n", + " hovermode=\"x unified\",\n", + ")\n", + "\n", + "fig_time.show()\n" + ] + }, + { + "cell_type": "markdown", + "id": "e08ffc5a", + "metadata": {}, + "source": [ + "Here we can see that only the trace miss correction simulation makes up for the missed distance in the cycle, whereas the others fall short." + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "id": "d96e63ef", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Prescribed cycle distance: 44.0 m\n", + "Achieved cycle distance:\n", + " trace_miss_opts = 'Allow': 38.5 m\n", + " trace_miss_opts = 'AllowChecked': 38.5 m\n", + " trace_miss_opts = 'Correct': 44.0 m\n" + ] + } + ], + "source": [ + "print(f\"Prescribed cycle distance: {cyc.to_pydict()['dist_meters'][-1]} m\")\n", + "print(f\"Achieved cycle distance:\")\n", + "print(f\" trace_miss_opts = 'Allow': {df_allow['veh.history.dist_meters'].iloc[-1]:.1f} m\")\n", + "print(f\" trace_miss_opts = 'AllowChecked': {df_checked['veh.history.dist_meters'].iloc[-1]:.1f} m\")\n", + "print(f\" trace_miss_opts = 'Correct': {df_correct['veh.history.dist_meters'].iloc[-1]:.1f} m\")" + ] + }, + { + "cell_type": "markdown", + "id": "577745ef", + "metadata": {}, + "source": [ + "## Summary\n", + "\n", + "- **\"Error\"** (default): Raises an exception if trace miss occurs. Forces you to acknowledge the issue and choose a resolution strategy.\n", + "- **\"Allow\"**: Permits the vehicle to fall behind without correction. Useful for exploratory analyses but may produce unrealistic behavior.\n", + "- **\"AllowChecked\"**: Allows trace miss but validates it against specified tolerances (distance and speed). Provides a middle ground between permissive and strict.\n", + "- **\"Correct\"**: Adjusts the driver model to catch back up to the target cycle.\n", + "\n", + "For most use cases, **\"Correct\"** is the recommended choice when trace miss is expected, as it ensures the vehicle re-synchronizes with the target cycle while maintaining realistic dynamics.\n" ] } ], "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, "language_info": { - "name": "python" + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.14.6" } }, "nbformat": 4, From 61ff2faa647d2e05448ae016d6a44f085dad4942 Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Tue, 14 Jul 2026 13:41:39 -0600 Subject: [PATCH 24/67] frame up advanced sim section --- docs/content/getting-started.ipynb | 2 +- .../running-simulations/advanced/cavs.ipynb | 25 ++++++++++++ .../running-simulations/advanced/dfco.ipynb | 25 ++++++++++++ .../advanced/start-stop.ipynb | 27 +++++++++++++ .../advanced/thermal-simulations.ipynb | 25 ++++++++++++ .../running-simulations/label-fe.ipynb | 2 +- docs/myst.yml | 39 ++++--------------- 7 files changed, 111 insertions(+), 34 deletions(-) create mode 100644 docs/content/user-guide/running-simulations/advanced/cavs.ipynb create mode 100644 docs/content/user-guide/running-simulations/advanced/dfco.ipynb create mode 100644 docs/content/user-guide/running-simulations/advanced/start-stop.ipynb create mode 100644 docs/content/user-guide/running-simulations/advanced/thermal-simulations.ipynb diff --git a/docs/content/getting-started.ipynb b/docs/content/getting-started.ipynb index aefd5bd1d..e6c73ff6f 100644 --- a/docs/content/getting-started.ipynb +++ b/docs/content/getting-started.ipynb @@ -2851,7 +2851,7 @@ "which is how vehicles are actually tested to measure fuel economy. The EPA\n", "applies a set of \"downward adjustments\" (often around 10-30%) to laboratory\n", "results to better reflect real-world driving for the window sticker. See\n", - "[Comparing Simulations to Label Fuel Economy](user-guide/running-simulations/label-fe.ipynb)\n", + "[Comparing to Label Fuel Economy](user-guide/running-simulations/label-fe.ipynb)\n", "for how FASTSim reproduces window sticker values.\n", "\n", "## Modifying Vehicle Parameters\n", diff --git a/docs/content/user-guide/running-simulations/advanced/cavs.ipynb b/docs/content/user-guide/running-simulations/advanced/cavs.ipynb new file mode 100644 index 000000000..3d94154d3 --- /dev/null +++ b/docs/content/user-guide/running-simulations/advanced/cavs.ipynb @@ -0,0 +1,25 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "ffcc7f39", + "metadata": {}, + "source": [ + "# Modeling Connected and Automated Vehicles (CAVs)" + ] + }, + { + "cell_type": "markdown", + "id": "a38a5c87", + "metadata": {}, + "source": [] + } + ], + "metadata": { + "language_info": { + "name": "python" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/content/user-guide/running-simulations/advanced/dfco.ipynb b/docs/content/user-guide/running-simulations/advanced/dfco.ipynb new file mode 100644 index 000000000..c4ed62fa8 --- /dev/null +++ b/docs/content/user-guide/running-simulations/advanced/dfco.ipynb @@ -0,0 +1,25 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "f9b9563e", + "metadata": {}, + "source": [ + "# Modeling Deceleration Fuel Cut-off (DFCO)" + ] + }, + { + "cell_type": "markdown", + "id": "5f1c313b", + "metadata": {}, + "source": [] + } + ], + "metadata": { + "language_info": { + "name": "python" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/content/user-guide/running-simulations/advanced/start-stop.ipynb b/docs/content/user-guide/running-simulations/advanced/start-stop.ipynb new file mode 100644 index 000000000..e80c85d52 --- /dev/null +++ b/docs/content/user-guide/running-simulations/advanced/start-stop.ipynb @@ -0,0 +1,27 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "af47b37e", + "metadata": {}, + "source": [ + "# Modeling Start-Stop Systems\n", + "\n", + "Auto start-stop systems, also called 'micro-hybrids', shut off the vehicle's engine when stopped, so long as there is no draw from the auxiliary systems (e.g. HVAC) that require more power." + ] + }, + { + "cell_type": "markdown", + "id": "d79ef7cb", + "metadata": {}, + "source": [] + } + ], + "metadata": { + "language_info": { + "name": "python" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/content/user-guide/running-simulations/advanced/thermal-simulations.ipynb b/docs/content/user-guide/running-simulations/advanced/thermal-simulations.ipynb new file mode 100644 index 000000000..53cb34a47 --- /dev/null +++ b/docs/content/user-guide/running-simulations/advanced/thermal-simulations.ipynb @@ -0,0 +1,25 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "5de1dc15", + "metadata": {}, + "source": [ + "# Running Thermal Simulations" + ] + }, + { + "cell_type": "markdown", + "id": "abe359ed", + "metadata": {}, + "source": [] + } + ], + "metadata": { + "language_info": { + "name": "python" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/content/user-guide/running-simulations/label-fe.ipynb b/docs/content/user-guide/running-simulations/label-fe.ipynb index 33eb00aa8..2a4f56e99 100644 --- a/docs/content/user-guide/running-simulations/label-fe.ipynb +++ b/docs/content/user-guide/running-simulations/label-fe.ipynb @@ -5,7 +5,7 @@ "id": "cell-0", "metadata": {}, "source": [ - "# Comparing Simulations to Label Fuel Economy" + "# Comparing to Label Fuel Economy" ] } ], diff --git a/docs/myst.yml b/docs/myst.yml index a1e213131..b53c0ef06 100644 --- a/docs/myst.yml +++ b/docs/myst.yml @@ -27,38 +27,12 @@ project: - file: content/user-guide/running-simulations/editing-sim-params.ipynb - file: content/user-guide/running-simulations/trace-miss.ipynb - file: content/user-guide/running-simulations/label-fe.ipynb - # - file: content/label-fe.md - # - title: Demos - # children: - # - file: content/conv.ipynb - # - file: content/bev.ipynb - # - file: content/hev.ipynb - # - title: Advanced Demos - # children: - # - title: Thermal Simulation - # children: - # - file: content/bev_thrml_cs_ca.ipynb - # - file: content/bev_thrml_ws_ca.ipynb - # - file: content/bev_thrml_ws_wa.ipynb - # - file: content/hev_thrml_cs_ca.ipynb - # - file: content/hev_thrml_ws_ca.ipynb - # - file: content/hev_thrml_ws_wa.ipynb - # - file: content/bev_thrml_sweep.ipynb - # - title: Vehicle Controls - # children: - # - file: content/trace_miss.ipynb - # - file: content/stop_start.ipynb - # - file: content/dfco.ipynb - # - file: content/migration-guide.md - # - title: Connected and Automated Vehicles (CAVS) - # children: - # - file: content/maneuver_intro.ipynb - # - file: content/microtrips.ipynb - # - file: content/basic_coasting.ipynb - # - file: content/coast_with_grade.ipynb - # - file: content/advanced_coasting.ipynb - # - file: content/eco_cruise.ipynb - # - file: content/cruise_and_coast.ipynb + - title: Advanced + children: + - file: content/user-guide/running-simulations/advanced/start-stop.ipynb + - file: content/user-guide/running-simulations/advanced/dfco.ipynb + - file: content/user-guide/running-simulations/advanced/cavs.ipynb + - file: content/user-guide/running-simulations/advanced/thermal-simulations.ipynb - title: Developers children: - file: content/developers/environment-setup.md @@ -69,6 +43,7 @@ project: title: Rust API Documentation - url: https://github.com/NatLabRockies/fastsim/releases title: Release Notes + # - file: content/migration-guide.md site: template: book-theme options: From b21008148c434df98b73df73d375cee824b1ded4 Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Tue, 14 Jul 2026 14:40:33 -0600 Subject: [PATCH 25/67] modeling-vehicle notebook complete --- .../user-guide/drive-cycles/telematics.md | 8 +- .../vehicle-models/custom-vehicles.md | 12 - .../vehicle-models/modeling-vehicles.ipynb | 265 ++++++++++++++++++ docs/myst.yml | 2 +- 4 files changed, 273 insertions(+), 14 deletions(-) delete mode 100644 docs/content/user-guide/vehicle-models/custom-vehicles.md create mode 100644 docs/content/user-guide/vehicle-models/modeling-vehicles.ipynb diff --git a/docs/content/user-guide/drive-cycles/telematics.md b/docs/content/user-guide/drive-cycles/telematics.md index e755b8ad8..1a46b3403 100644 --- a/docs/content/user-guide/drive-cycles/telematics.md +++ b/docs/content/user-guide/drive-cycles/telematics.md @@ -13,9 +13,15 @@ Firstly, you will need a mapping of your telematics signals to FASTSim's drive c - 1 mph = 0.44704 m/s - 1 km/h = 0.277778 m/s - Input: `speed_meters_per_second` -- Grade +- Grade: - Most telematics data does not include grade. To process grade signals from latitude/longitude, consider using the free and open-source tool [gradeit](https://github.com/NatLabRockies/gradeit) developed by NLR. - FASTSim accepts grade as a unitless ratio of rise/run, rather than a percentage. If you are working with percent grade data, simply divide by 100. If you are working with degrees/radians, compute the tangent to get grade ($\textrm{grade}=y/x=tan(\theta)$). - Input: `grade` +- Ambient Temperature: + - When running thermal simulations, you can often feed in ambient temperature (or test cell temperature) directly from your data into FASTSim. Be sure to convert to Kelvin (add 273.15 to Celcius temperatures). + - Input: `temp_amb_air_kelvin` +- Initial Elevation: + - Distance and road grade are used to calculate the elevation over time within FASTSim, affecting air density in aerodynamic calculations. A default initial value of 121.92 m (400 ft) is used if nothing is provided. + - Input: `init_elev_meters` The biggest challenge with simulating over telematics data is often data quality. For each input, be sure to thoroughly check for missing and erroneous values before relying on simulation results. The choice of which column to use is yours; try to pick the most robust signal or apply pre-processing to get high quality input data. diff --git a/docs/content/user-guide/vehicle-models/custom-vehicles.md b/docs/content/user-guide/vehicle-models/custom-vehicles.md deleted file mode 100644 index 0514fbb0e..000000000 --- a/docs/content/user-guide/vehicle-models/custom-vehicles.md +++ /dev/null @@ -1,12 +0,0 @@ -# Modeling a Vehicle - -## Start from an Existing Vehicle - -## Parameterizing Vehicle Specifications -The first step in creating a vehicle is filling in all the information you can readily find - -## Calibration -For more details on label fuel economy comparison, see [](../running-simulations/label-fe.ipynb). - -## - diff --git a/docs/content/user-guide/vehicle-models/modeling-vehicles.ipynb b/docs/content/user-guide/vehicle-models/modeling-vehicles.ipynb new file mode 100644 index 000000000..189c3acd7 --- /dev/null +++ b/docs/content/user-guide/vehicle-models/modeling-vehicles.ipynb @@ -0,0 +1,265 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "c154d0f9", + "metadata": {}, + "source": [ + "# Modeling a Vehicle\n", + "\n", + "This guide covers the process of creating a vehicle model in FASTSim, starting\n", + "with a built-in example, filling in known specifications, and then calibrating the model\n", + "against measured data." + ] + }, + { + "cell_type": "markdown", + "id": "b3c14eca", + "metadata": {}, + "source": [ + "## Start from an Existing Vehicle\n", + "\n", + "The easiest starting point is to load a built-in vehicle resource and modify it for your\n", + "target vehicle. FASTSim includes several reference vehicles across a range of powertrain types.\n", + "\n", + "To see what built-in vehicles are available:" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "ffcfbc7a", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[PosixPath('2012_Ford_Fusion.yaml'), PosixPath('2016 Nissan Leaf 30 kWh thrml.yaml'), PosixPath('2016_TOYOTA_Prius_Two.yaml'), PosixPath('2020 Chevrolet Bolt EV thrml.yaml'), PosixPath('2021_Hyundai_Sonata_Hybrid_Blue_thrml.yaml'), PosixPath('2022 Tesla Model 3 RWD thrml.yaml'), PosixPath('2022_Renault_Zoe_ZE50_R135.yaml'), PosixPath('2026_Chrysler_Pacifica_Select.yaml'), PosixPath('2026_Chrysler_Pacifica_Select_thrml.yaml')]\n" + ] + } + ], + "source": [ + "import fastsim\n", + "\n", + "# List all available built-in vehicle resource files\n", + "print(fastsim.Vehicle.list_resources())" + ] + }, + { + "cell_type": "markdown", + "id": "c4f4f0cd", + "metadata": {}, + "source": [ + "To load a built-in vehicle and save it as a starting point for your own model:\n", + "\n", + "```python\n", + "# Load the closest built-in vehicle (optimally with the same powertrain type) as your target vehicle\n", + "veh = fastsim.Vehicle.from_resource(\"2012_Ford_Fusion.yaml\")\n", + "\n", + "# Save to a new file to use as your starting template\n", + "veh.to_file(\"my_vehicle.yaml\")\n", + "\n", + "# You can reload from the file at any time\n", + "veh = fastsim.Vehicle.from_file(\"my_vehicle.yaml\")\n", + "```" + ] + }, + { + "cell_type": "markdown", + "id": "99f0f001", + "metadata": {}, + "source": [ + "You can then open `my_vehicle.yaml` and edit it directly. The file is human-readable YAML\n", + "with a structure matching the component hierarchy described in [](vehicle.md).\n", + "\n", + "### Choosing the Right Starting Vehicle\n", + "\n", + "Pick the built-in vehicle closest to your target in terms of powertrain type and vehicle class.\n", + "Here are some examples for passenger cars of various powertrain types:\n", + "\n", + "| Powertrain | Example Resource |\n", + "|------------|------------------|\n", + "| Conventional (gas/diesel) | `2012_Ford_Fusion.yaml` |\n", + "| Hybrid Electric (HEV) | `2016_TOYOTA_Prius_Two.yaml` |\n", + "| Battery Electric (BEV) | `2022_Renault_Zoe_ZE50_R135.yaml` |\n", + "| Plug-in Hybrid (PHEV) | `2026_Chrysler_Pacifica_Select.yaml` |\n", + "\n", + "---\n", + "\n", + "## Parameterizing Vehicle Specifications\n", + "\n", + "The first step is to fill in all the physical specifications you can find from public\n", + "sources: manufacturer datasheets, vehicle certification data, EPA window sticker values,\n", + "published test reports, or direct measurement.\n", + "\n", + "\n", + "\n", + "### Vehicle-Level Parameters\n", + "\n", + "These apply to all powertrain types:\n", + "\n", + "- **`name`** : A descriptive label for the vehicle (e.g. `\"2024 Toyota RAV4 Hybrid\"`).\n", + "- **`year`** : Model year.\n", + "- **`mass_kilograms`** : Total vehicle mass (curb weight + estimated occupant/cargo mass).\n", + " This is typically the most influential parameter for energy consumption.\n", + "- **`pwr_aux_base_watts`** : Constant auxiliary electrical load (HVAC if not using an HVAC thermal model, headlights,\n", + " infotainment, etc.).\n", + "\n", + "### Chassis Parameters\n", + "\n", + "These govern the road load forces that determine how much power the vehicle needs to\n", + "maintain speed:\n", + "\n", + "- **`drag_coef`** : Aerodynamic drag coefficient $C_d$. Published by manufacturers or\n", + " measured in a wind tunnel. \n", + "- **`frontal_area_square_meters`** : Frontal area in m². Can be estimated from vehicle\n", + " dimensions or looked up in published sources.\n", + "- **`wheel_rr_coef`** : Rolling resistance coefficient.\n", + "- **`wheel_radius_meters`** : Loaded tire radius. Can be computed from the tire code\n", + " (e.g. `225/50R17`) or measured directly. If `tire_code` is provided and `wheel_radius_meters`\n", + " is omitted, FASTSim will compute the radius automatically.\n", + "- **`tire_code`** : Optional tire size string (e.g. `\"225/50R17\"`). If set, FASTSim parses\n", + " it to compute `wheel_radius_meters` automatically. Either this or `wheel_radius_meters`\n", + " must be supplied.\n", + "- **`num_wheels`** : Almost always 4 for passenger vehicles.\n", + "- **`drive_type`** : One of `FWD`, `RWD`, or `AWD`. Affects traction calculations.\n", + "- **`wheel_base_meters`** : Distance between front and rear axles.\n", + "- **`cg_height_meters`** : Center of gravity height.\n", + "- **`drive_axle_weight_frac`** : Fraction of vehicle weight on the drive axle. Affects\n", + " traction. \n", + "- **`wheel_fric_coef`** : Tire-road friction coefficient. 0.7 is usually reasonable.\n", + "- **`wheel_inertia_kilogram_square_meters`** : Rotational inertia of all wheels combined.\n", + "\n", + "### Fuel Converter / Engine [`Conv`, `HEV`, `PHEV`]\n", + "\n", + "- **`pwr_out_max_watts`** : Peak engine power output. This is the rated power from the\n", + " manufacturer spec sheet.\n", + "- **`pwr_out_max_init_watts`** : Initial ramp-limited power, representing the engine's\n", + " capability before it reaches full power. Typically set to a\n", + " fraction of peak power.\n", + "- **`pwr_ramp_lag_seconds`** : Time constant for power ramping.\n", + "- **`pwr_idle_fuel_watts`** : Fuel power consumed at idle. Set to match measured idle fuel\n", + " consumption if available. If unknown, leave as `0.0` and set a non-zero auxiliary load.\n", + "- **`eff_interp_from_pwr_out`** : Engine efficiency as a function of fractional power\n", + " output (0.0–1.0). See [Calibration](#calibration) below.\n", + "\n", + "### Fuel Storage / Tank [`Conv`, `HEV`, `PHEV`]\n", + "\n", + "- **`energy_capacity_joules`** : Usable fuel tank capacity in joules.\n", + "- **`pwr_out_max_watts`** : Maximum fuel power delivery rate. Can be left very large since it is rarely a binding constraint.\n", + "- **`pwr_ramp_lag_seconds`** : Power ramp lag for fuel delivery.\n", + "\n", + "### Rechargeable Energy Storage / Battery [`BEV`, `HEV`, `PHEV`]\n", + "\n", + "- **`energy_capacity_joules`** : Total usable battery energy capacity. Convert from kWh:\n", + " $E = \\text{kWh} \\times 3.6 \\times 10^6$.\n", + "- **`pwr_out_max_watts`** : Peak battery discharge power. Can be left very large if not\n", + " the constraining factor.\n", + "- **`min_soc` / `max_soc`** : State-of-charge limits (0.0–1.0). Set based on manufacturer\n", + " usable range (e.g. 0.1–0.9 for a 10–90% operational window).\n", + "- **`eff_interp`** : Battery efficiency. A constant value can be provided if measured data is unavailable.\n", + "\n", + "### Electric Motor [`BEV`, `HEV`, `PHEV`]\n", + "\n", + "- **`pwr_out_max_watts`** : Peak motor power output.\n", + "- **`eff_interp_achieved`** : Motor efficiency as a function of fractional power output.\n", + "\n", + "### Transmission\n", + "\n", + "- **`eff_interp`** : Transmission efficiency. A constant value is typically sufficient.\n", + "\n", + "### Mass Handling\n", + "\n", + "Vehicle mass can be specified at the top level (`mass_kilograms`) or split across\n", + "individual components. If all component-level `mass_kilograms` fields are `~` (null),\n", + "the top-level `mass_kilograms` is used as the total vehicle mass directly.\n", + "\n", + "For component-level mass accounting, set `mass_kilograms` or\n", + "`specific_energy_joules_per_kilogram` / `specific_pwr_watts_per_kilogram` on\n", + "individual components. The vehicle-level mass then becomes the sum of all components plus\n", + "the glider mass (`chassis.glider_mass_kilograms`).\n", + "\n", + "---\n", + "\n", + "## Calibration\n", + "\n", + "After populating all known specifications, the model should be validated against measured\n", + "fuel economy or energy consumption data before it is used for analysis." + ] + }, + { + "cell_type": "markdown", + "id": "e6fa6623", + "metadata": {}, + "source": [ + "### Comparing to Label Fuel Economy\n", + "\n", + "One method of calibrating a vehicle is comparing simulation against the EPA window sticker values. For details on running this comparison, see [](../running-simulations/label-fe.ipynb)." + ] + }, + { + "cell_type": "markdown", + "id": "ad35e212", + "metadata": {}, + "source": [ + "### Fuel Converter / Electric Machine Efficiency Curves\n", + "\n", + "The component efficiency curves have a large impact on simulated fuel economy.\n", + "The curve maps fractional power output (1.0 = 100% of max\n", + "power) to thermal efficiency (fraction of fuel energy converted to shaft power).\n", + "\n", + "A default curve shape from a similar vehicle is a reasonable starting point. Calibrate from BSFC/efficiency maps in literature, operating points from real-world/chassis dynamometer data (such as [Argonne's D3 database](https://www.anl.gov/taps/downloadable-dynamometer-database)), etc." + ] + }, + { + "cell_type": "markdown", + "id": "d77bc18a", + "metadata": {}, + "source": [ + "### Road Load Validation\n", + "\n", + "If coast-down test data or dynamometer road load target coefficients (ABCs) are available (e.g. from [EPA data](https://www.epa.gov/compliance-and-fuel-economy-data/data-cars-used-testing-fuel-economy)), use them to verify the chassis parameters (`drag_coef`,\n", + "`frontal_area_square_meters`, `wheel_rr_coef`) produce the correct road load at typical\n", + "highway speeds." + ] + }, + { + "cell_type": "markdown", + "id": "f04d839f", + "metadata": {}, + "source": [ + "### Fine-Tuning Models\n", + "\n", + "If you find the model under- or over-predicts differently on various cycles, ask if the cycles have distinct driving behavior. Are there higher speeds segments that indicate issues with the simulated road load? Are acceleration events matching measured data especially poorly? Questions like these can help identify parameters that need refinement. " + ] + }, + { + "cell_type": "markdown", + "id": "c42b54fb", + "metadata": {}, + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.14.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/myst.yml b/docs/myst.yml index b53c0ef06..baeeb1426 100644 --- a/docs/myst.yml +++ b/docs/myst.yml @@ -16,7 +16,7 @@ project: - title: Vehicle Models children: - file: content/user-guide/vehicle-models/vehicle.md - - file: content/user-guide/vehicle-models/custom-vehicles.md + - file: content/user-guide/vehicle-models/modeling-vehicles.ipynb - title: Drive Cycles children: - file: content/user-guide/drive-cycles/drive-cycle.ipynb From c5a78cb0b88b29580d1bad6c55868b3c01aca9da Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Tue, 14 Jul 2026 15:21:56 -0600 Subject: [PATCH 26/67] remove straggling page links with custom titles --- docs/content/getting-started.ipynb | 10 +++++----- .../user-guide/running-simulations/simdrive.ipynb | 6 +++--- .../user-guide/running-simulations/trace-miss.ipynb | 2 +- .../user-guide/vehicle-models/modeling-vehicles.ipynb | 2 +- 4 files changed, 10 insertions(+), 10 deletions(-) diff --git a/docs/content/getting-started.ipynb b/docs/content/getting-started.ipynb index e6c73ff6f..6a82bc3e3 100644 --- a/docs/content/getting-started.ipynb +++ b/docs/content/getting-started.ipynb @@ -148,7 +148,7 @@ "test. Below the cycle is plotted as target vehicle speed vs. time.\n", "\n", "For a deeper look at drive cycles, including custom cycles and editing cycle\n", - "data, see [What Is a Drive Cycle?](demo_drive_cycle.ipynb)." + "data, see [](user-guide/drive-cycles/drive-cycle.ipynb)." ] }, { @@ -2851,7 +2851,7 @@ "which is how vehicles are actually tested to measure fuel economy. The EPA\n", "applies a set of \"downward adjustments\" (often around 10-30%) to laboratory\n", "results to better reflect real-world driving for the window sticker. See\n", - "[Comparing to Label Fuel Economy](user-guide/running-simulations/label-fe.ipynb)\n", + "[](user-guide/running-simulations/label-fe.ipynb)\n", "for how FASTSim reproduces window sticker values.\n", "\n", "## Modifying Vehicle Parameters\n", @@ -3765,11 +3765,11 @@ "source": [ "## Where to Go Next\n", "\n", - "- [What Is a Drive Cycle?](user-guide/drive-cycles/drive-cycle.ipynb) covers loading, building,\n", + "- [](user-guide/drive-cycles/drive-cycle.ipynb) covers loading, building,\n", " and editing drive cycles, including road grade.\n", - "- [Vehicles in FASTSim](user-guide/vehicle-models/vehicle.md) describes the vehicle model\n", + "- [](user-guide/vehicle-models/vehicle.md) describes the vehicle model\n", " hierarchy in more depth.\n", - "- [What is a SimDrive Object?](user-guide/running-simulations/simdrive.md) explains the\n", + "- [](user-guide/running-simulations/simdrive.ipynb) explains the\n", " simulation object and its parameters." ] } diff --git a/docs/content/user-guide/running-simulations/simdrive.ipynb b/docs/content/user-guide/running-simulations/simdrive.ipynb index d6699b2c2..2fbcafe83 100644 --- a/docs/content/user-guide/running-simulations/simdrive.ipynb +++ b/docs/content/user-guide/running-simulations/simdrive.ipynb @@ -35,7 +35,7 @@ "\n", "`SimDrive` takes a `Vehicle` and a `Cycle` as arguments. Optionally, a\n", "`SimParams` object can be passed to customize solver behavior (see\n", - "[Editing Simulation Parameters](editing-sim-params.ipynb)).\n", + "[](editing-sim-params.ipynb)).\n", "\n", "Load a bundled vehicle and drive cycle, then construct the simulation object:\n" ] @@ -1047,7 +1047,7 @@ "id": "c558356d", "metadata": {}, "source": [ - "FASTSim also has options for when the vehicle cannot meet the physical demands of the drive cycle. See [Handling Trace Miss](trace-miss.ipynb) for more information." + "FASTSim also has options for when the vehicle cannot meet the physical demands of the drive cycle. See [](trace-miss.ipynb) for more information." ] }, { @@ -1288,7 +1288,7 @@ "id": "7c3436f4", "metadata": {}, "source": [ - "Note that these outputs are *unadjusted* fuel economy and do not accurately reflect the true label fuel economy. For information on matching label fuel economy with FASTSim, see [Comparing Simulations to Label Fuel Economy](label-fe.ipynb)." + "Note that these outputs are *unadjusted* fuel economy and do not accurately reflect the true label fuel economy. For information on matching label fuel economy with FASTSim, see [](label-fe.ipynb)." ] } ], diff --git a/docs/content/user-guide/running-simulations/trace-miss.ipynb b/docs/content/user-guide/running-simulations/trace-miss.ipynb index 173c97eee..9760410a4 100644 --- a/docs/content/user-guide/running-simulations/trace-miss.ipynb +++ b/docs/content/user-guide/running-simulations/trace-miss.ipynb @@ -9,7 +9,7 @@ "\n", "Trace miss occurs when a vehicle cannot achieve the prescribed speed of the drive cycle. For vehicles, this may be due to high vehicle mass, sluggish acceleration limits, etc. For cycles, this may be due to unrealistically aggressive jumps in speed or road grade.\n", "\n", - "Trace miss handling and tolerances are configured by setting simulation parameters. For detailed information, see [Editing Simulation Parameters](editing-sim-params.ipynb)." + "Trace miss handling and tolerances are configured by setting simulation parameters. For detailed information, see [](editing-sim-params.ipynb)." ] }, { diff --git a/docs/content/user-guide/vehicle-models/modeling-vehicles.ipynb b/docs/content/user-guide/vehicle-models/modeling-vehicles.ipynb index 189c3acd7..a24d9e59f 100644 --- a/docs/content/user-guide/vehicle-models/modeling-vehicles.ipynb +++ b/docs/content/user-guide/vehicle-models/modeling-vehicles.ipynb @@ -142,7 +142,7 @@ "- **`pwr_idle_fuel_watts`** : Fuel power consumed at idle. Set to match measured idle fuel\n", " consumption if available. If unknown, leave as `0.0` and set a non-zero auxiliary load.\n", "- **`eff_interp_from_pwr_out`** : Engine efficiency as a function of fractional power\n", - " output (0.0–1.0). See [Calibration](#calibration) below.\n", + " output (0.0–1.0). See [](#calibration) below.\n", "\n", "### Fuel Storage / Tank [`Conv`, `HEV`, `PHEV`]\n", "\n", From 3926739b0aeca1dd3a5eeca9aae3ae07c51f0723 Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Tue, 14 Jul 2026 15:45:33 -0600 Subject: [PATCH 27/67] simparams section complete --- .../editing-sim-params.ipynb | 236 +++++++++++++++++- 1 file changed, 231 insertions(+), 5 deletions(-) diff --git a/docs/content/user-guide/running-simulations/editing-sim-params.ipynb b/docs/content/user-guide/running-simulations/editing-sim-params.ipynb index 027226d2a..f4907db0c 100644 --- a/docs/content/user-guide/running-simulations/editing-sim-params.ipynb +++ b/docs/content/user-guide/running-simulations/editing-sim-params.ipynb @@ -2,22 +2,248 @@ "cells": [ { "cell_type": "markdown", - "id": "71ef037f", + "id": "#VSC-e5282220", + "metadata": { + "language": "markdown" + }, + "source": [ + "# Editing Simulation Parameters\n", + "\n", + "FASTSim simulations are controlled by two sets of parameters:\n", + "\n", + "1. **`SimParams`** - solver-level parameters that apply to all vehicle types, governing achieved speed and trace miss handling.\n", + "2. **`HEVSimulationParams`** - additional simulation parameters for HEV/PHEV vehicles." + ] + }, + { + "cell_type": "markdown", + "id": "#VSC-md-001", + "metadata": { + "language": "markdown" + }, + "source": [ + "## SimParams: Achieved Speed and Trace Miss Parameters\n", + "\n", + "The `SimParams` class defines the behavior of the solver for achieved vehicle speed as well as parameters related to trace miss.\n", + "\n", + "### Key Parameters\n", + "\n", + "**Achieved Speed Solver:**\n", + "\n", + "- **`ach_speed_max_iter`** : Maximum number of iterations for the achieved speed solver. Higher values allow more iterations to find a speed the vehicle can achieve, but increase computation time. Default: 3.\n", + "- **`ach_speed_tol`** : Tolerance on speed change between iterations (dimensionless ratio). Smaller values mean tighter tolerance and more accuracy, but longer convergence. Default: 0.001.\n", + "- **`ach_speed_solver_gain`** : Gain factor (0.0–1.0) for the Newton method speed update. Higher values (e.g., 0.9) lead to faster convergence but risk overshooting. Default: 0.9.\n", + "\n", + "**Trace Miss Handling:**\n", + "\n", + "For detailed examples and explanations, see [Handling Trace Miss](trace-miss.ipynb).\n", + "\n", + "- **`trace_miss_opts`** : How to handle situations where the vehicle cannot achieve the target speed (`\"Error\"`, `\"Allow\"`, `\"AllowChecked\"`, `\"Correct\"`). Default: `\"Error\"`.\n", + "- **`trace_miss_tol`** : Tolerance parameters (distance and speed) that apply when `trace_miss_opts` is `\"AllowChecked\"`.\n", + "- **`trace_miss_correct_max_steps`** : When `trace_miss_opts` is `\"Correct\"`, the maximum number of steps allowed to re-synchronize with the trace. Must be ≥ 2. Default: 6.\n", + "\n", + "**Other:**\n", + "\n", + "- **`f2_const_air_density`** : Whether to use a constant air density (FASTSim-2 style) instead of computing it from elevation. Default: true.\n", + "- **`ambient_thermal_soak`** : If true, simulate an engine-off 'soak' for thermally-aware models. Default: false.\n", + "\n", + "### Example:" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "06a888ed", "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Simulation params:\n" + ] + }, + { + "data": { + "text/plain": [ + "{'ach_speed_max_iter': 3,\n", + " 'ach_speed_tol': 0.001,\n", + " 'ach_speed_solver_gain': 0.9,\n", + " 'trace_miss_tol': {'tol_dist': 100.0,\n", + " 'tol_dist_frac': 0.05,\n", + " 'tol_speed': 10.0,\n", + " 'tol_speed_frac': 0.5},\n", + " 'trace_miss_opts': 'Error',\n", + " 'trace_miss_correct_max_steps': 6,\n", + " 'f2_const_air_density': True,\n", + " 'ambient_thermal_soak': False}" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import fastsim\n", + "\n", + "# Create a SimParams object from default values\n", + "params = fastsim.SimParams.default().to_pydict()\n", + "\n", + "print(\"Simulation params:\")\n", + "params" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "#VSC-code-001", + "metadata": { + "language": "python" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Modified trace_miss_opts: AllowChecked\n", + "Simulation completed\n" + ] + } + ], "source": [ - "# Editing Simulation Parameters" + "# Modify trace miss handling to allow some miss with tolerance\n", + "params['trace_miss_opts'] = 'AllowChecked'\n", + "\n", + "# Load a vehicle and cycle\n", + "veh = fastsim.Vehicle.from_resource(\"2012_Ford_Fusion.yaml\")\n", + "cyc = fastsim.Cycle.from_resource(\"udds.csv\")\n", + "\n", + "# Run simulation with modified parameters\n", + "sim_params = fastsim.SimParams.from_pydict(params)\n", + "sd = fastsim.SimDrive(veh, cyc, sim_params)\n", + "sd.walk()\n", + "\n", + "print(f\"Modified trace_miss_opts: {params['trace_miss_opts']}\")\n", + "print(\"Simulation completed\")" ] }, { "cell_type": "markdown", - "id": "b025a753", + "id": "#VSC-md-005", + "metadata": { + "language": "markdown" + }, + "source": [ + "---\n", + "\n", + "## HEV and PHEV Simulation Parameters\n", + "\n", + "Hybrid Electric Vehicles (HEVs) and Plug-in Hybrid Electric Vehicles (PHEVs) have additional simulation parameters that control the hybrid powertrain strategy. These parameters are stored in the vehicle object and control how the hybrid system balances energy between the engine and battery.\n", + "\n", + "**Parameters:**\n", + "\n", + "- **`res_per_fuel_lim`** : Ratio of reversible energy storage (battery) energy capacity to fuel converter power output capability. Default: 0.005.\n", + "- **`balance_soc`** : If true, the solver will iterate to achieve a balanced state-of-charge at the end of the cycle (SOC approximately equals the initial SOC). If false, the simulation runs as-is without balancing. Default: true.\n", + "- **`soc_balance_iter_err`** : When `balance_soc` is true, the maximum number of iterations allowed to achieve SOC balance. If the solver cannot balance SOC within this many iterations, an error is raised. Default: 5.\n", + "- **`save_soc_bal_iters`** : Whether to save the history for each intermediate SOC balancing iteration (for debugging). Default: false.\n", + "\n", + "## Example:" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "#VSC-code-004", + "metadata": { + "language": "python" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "HEV simulation params:\n" + ] + }, + { + "data": { + "text/plain": [ + "{'res_per_fuel_lim': 0.005,\n", + " 'soc_balance_iter_err': 5,\n", + " 'balance_soc': True,\n", + " 'save_soc_bal_iters': False}" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import fastsim\n", + "\n", + "# Load an HEV vehicle\n", + "veh_hev = fastsim.Vehicle.from_resource(\"2016_TOYOTA_Prius_Two.yaml\")\n", + "\n", + "# Access HEV parameters via to_pydict()\n", + "veh_dict = veh_hev.to_pydict()\n", + "hev_params = veh_dict['pt_type']['HEV']['sim_params']\n", + "\n", + "print(\"HEV simulation params:\")\n", + "hev_params" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "2be84361", "metadata": {}, - "source": [] + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Modified soc_balance_iter_err: 10\n", + "Simulation completed\n" + ] + } + ], + "source": [ + "# Modify SOC balancing to allow more iterations\n", + "veh_dict = veh_hev.to_pydict()\n", + "veh_dict['pt_type']['HEV']['sim_params']['soc_balance_iter_err'] = 10\n", + "\n", + "# Recreate the vehicle with modified parameters\n", + "veh_hev_modified = fastsim.Vehicle.from_pydict(veh_dict)\n", + "\n", + "# Run a simulation with the modified HEV parameters\n", + "cyc = fastsim.Cycle.from_resource(\"udds.csv\")\n", + "sd = fastsim.SimDrive(veh_hev_modified, cyc)\n", + "sd.walk()\n", + "\n", + "print(f\"Modified soc_balance_iter_err: {veh_dict['pt_type']['HEV']['sim_params']['soc_balance_iter_err']}\")\n", + "print(\"Simulation completed\")" + ] } ], "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, "language_info": { - "name": "python" + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.14.6" } }, "nbformat": 4, From c23fc9c380e11d943f72467efa516704cf2e6bd8 Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Tue, 14 Jul 2026 19:00:06 -0600 Subject: [PATCH 28/67] start-stop demo --- .../advanced/start-stop.ipynb | 2179 ++++++++++++++++- .../editing-sim-params.ipynb | 16 +- 2 files changed, 2183 insertions(+), 12 deletions(-) diff --git a/docs/content/user-guide/running-simulations/advanced/start-stop.ipynb b/docs/content/user-guide/running-simulations/advanced/start-stop.ipynb index e80c85d52..5256a4e89 100644 --- a/docs/content/user-guide/running-simulations/advanced/start-stop.ipynb +++ b/docs/content/user-guide/running-simulations/advanced/start-stop.ipynb @@ -7,19 +7,2192 @@ "source": [ "# Modeling Start-Stop Systems\n", "\n", - "Auto start-stop systems, also called 'micro-hybrids', shut off the vehicle's engine when stopped, so long as there is no draw from the auxiliary systems (e.g. HVAC) that require more power." + "Start-stop systems reduce fuel consumption by turning the engine off during idle events (for example, at traffic lights) and restarting it when propulsion or auxiliary demand requires engine power.\n", + "\n", + "In FASTSim, this behavior is represented through powertrain controller logic that decides whether the fuel converter remains on or is allowed to shut off at each time step." ] }, { "cell_type": "markdown", "id": "d79ef7cb", "metadata": {}, - "source": [] + "source": [ + "This demo compares three cases on the same UDDS drive cycle:\n", + "\n", + "1. A baseline conventional vehicle.\n", + "2. The same conventional vehicle with FASTSim's start-stop controller enabled.\n", + "3. A micro-hybrid conversion with a small battery and electric machine supporting accessories and start-stop behavior.\n", + "\n", + "Together, these cases separate three effects:\n", + "\n", + "- pure controller effect (baseline vs start-stop),\n", + "- additional electrification effect (start-stop vs micro-hybrid),\n", + "- combined system-level fuel-use change (baseline vs micro-hybrid).\n", + "\n", + "The sections below explain what each code block is doing and why each comparison matters for modeling start-stop systems." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "824990a8", + "metadata": {}, + "outputs": [], + "source": [ + "import fastsim\n", + "import plotly.graph_objects as go\n", + "\n", + "METERS_PER_MILE = 1609.34\n", + "MJ_PER_GGE = 125.0" + ] + }, + { + "cell_type": "markdown", + "id": "3fc01306", + "metadata": {}, + "source": [ + "## Baseline and Start-Stop Simulations\n", + "\n", + "This section runs two simulations with the same vehicle and cycle. The only change is enabling `use_stop_start_controller()` in the second case.\n", + "\n", + "Conceptually, FASTSim's start-stop controller keeps the engine on when constraints require it (for example, warm-up, minimum on-time, or accessory/charging demand), and allows engine-off idle when constraints are satisfied.\n", + "\n", + "Because the test setup is controlled, the difference in fuel use can be attributed primarily to start-stop logic." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "ca749cc4", + "metadata": {}, + "outputs": [], + "source": [ + "veh = fastsim.Vehicle.from_resource(\"2012_Ford_Fusion.yaml\")\n", + "veh.set_save_interval(1)\n", + "cyc = fastsim.Cycle.from_resource(\"udds.csv\")\n", + "\n", + "sd = fastsim.SimDrive(veh, cyc)\n", + "sd.walk()\n", + "df = sd.to_dataframe(pandas=True)\n", + "\n", + "veh_ss = fastsim.Vehicle.from_resource(\"2012_Ford_Fusion.yaml\")\n", + "veh_ss.use_stop_start_controller()\n", + "veh_ss.set_save_interval(1)\n", + "\n", + "sd_ss = fastsim.SimDrive(veh_ss, cyc)\n", + "sd_ss.walk()\n", + "df_ss = sd_ss.to_dataframe(pandas=True)" + ] + }, + { + "cell_type": "markdown", + "id": "8821d297", + "metadata": {}, + "source": [ + "Both runs save time-step histories to dataframes (`df` and `df_ss`).\n", + "\n", + "These histories are important because start-stop is event-driven in time: you want to see when fuel power drops during stopped segments, not just a final scalar result." + ] + }, + { + "cell_type": "markdown", + "id": "3a95bdb3", + "metadata": {}, + "source": [ + "## Fuel Economy Comparison\n", + "\n", + "Fuel economy is computed from two quantities: total cycle distance and cumulative fuel energy consumed by the fuel converter.\n", + "\n", + "This section reports:\n", + "\n", + "- baseline fuel economy,\n", + "- fuel economy with start-stop enabled,\n", + "- percent fuel-use reduction due to start-stop.\n", + "\n", + "Using fuel-energy totals is especially useful for start-stop analysis because the mechanism is reduced idle fuel burn during zero-speed periods." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "7b704f9f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Conventional Fuel Economy: 35.42 mpg\n", + "With Stop/Start Fuel Economy: 37.55 mpg\n", + "Fuel-Use Reduction (Stop/Start): 5.66%\n" + ] + } + ], + "source": [ + "cyc_dict = cyc.to_pydict()\n", + "distance_m = cyc_dict[\"dist_meters\"][-1]\n", + "distance_mi = distance_m / METERS_PER_MILE\n", + "\n", + "fuel_mj = df[\"veh.pt_type.Conv.fc.history.energy_fuel_joules\"].iloc[-1] / 1e6\n", + "fuel_ss_mj = df_ss[\"veh.pt_type.Conv.fc.history.energy_fuel_joules\"].iloc[-1] / 1e6\n", + "\n", + "gge_gal = fuel_mj / MJ_PER_GGE\n", + "gge_ss_gal = fuel_ss_mj / MJ_PER_GGE\n", + "fuel_economy_mpg = distance_mi / gge_gal\n", + "fuel_economy_ss_mpg = distance_mi / gge_ss_gal\n", + "\n", + "percent_reduction_ss = (fuel_mj - fuel_ss_mj) * 100.0 / fuel_mj\n", + "\n", + "print(f\"Conventional Fuel Economy: {fuel_economy_mpg:.2f} mpg\")\n", + "print(f\"With Stop/Start Fuel Economy: {fuel_economy_ss_mpg:.2f} mpg\")\n", + "print(f\"Fuel-Use Reduction (Stop/Start): {percent_reduction_ss:.2f}%\")" + ] + }, + { + "cell_type": "markdown", + "id": "80e55e5c", + "metadata": {}, + "source": [ + "## Micro-Hybrid Conversion\n", + "\n", + "The function below builds a micro-hybrid electric vehicle (uHEV) representation by augmenting a conventional vehicle with:\n", + "\n", + "- a small reversible energy storage system (battery),\n", + "- a simple constant-efficiency electric machine model,\n", + "- start-stop HEV control logic,\n", + "- auxiliary-load prioritization to the battery (`AuxOnResPriority`).\n", + "\n", + "Why this matters for start-stop modeling: a pure conventional start-stop vehicle can only turn the engine off when auxiliary and control constraints permit, while a micro-hybrid can use electrical buffering to keep accessories powered during engine-off operation more often." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "e85775f1", + "metadata": {}, + "outputs": [], + "source": [ + "def conv_to_micro_hybrid(\n", + " veh,\n", + " res_eff=None,\n", + " res_capacity_joules=None,\n", + " em_eff=None,\n", + " em_max_pwr_w=None,\n", + " allow_regen=True,\n", + "):\n", + " res_eff = 0.90 if res_eff is None else res_eff\n", + " res_capacity_joules = 72_000.0 if res_capacity_joules is None else res_capacity_joules\n", + " em_eff = 0.95 if em_eff is None else em_eff\n", + " em_max_pwr_w = 5_000.0 if em_max_pwr_w is None else em_max_pwr_w\n", + "\n", + " assert res_capacity_joules > 0.0\n", + " assert 0.0 < res_eff <= 1.0\n", + " assert 0.0 < em_eff <= 1.0\n", + "\n", + " veh_dict = veh.to_pydict()\n", + "\n", + " res = {\n", + " \"thrml\": \"None\",\n", + " \"mass_kilograms\": None,\n", + " \"specific_energy_joules_per_kilogram\": None,\n", + " \"pwr_out_max_watts\": em_max_pwr_w,\n", + " \"energy_capacity_joules\": res_capacity_joules,\n", + " \"eff_interp\": {\"Constant\": res_eff},\n", + " \"min_soc\": 0.0,\n", + " \"max_soc\": 1.0,\n", + " \"state\": {\n", + " \"pwr_prop_max_watts\": 0.0,\n", + " \"pwr_regen_max_watts\": 0.0,\n", + " \"pwr_disch_max_watts\": 0.0,\n", + " \"pwr_charge_max_watts\": 0.0,\n", + " \"i\": 0,\n", + " \"soc\": 0.5,\n", + " \"soc_regen_buffer\": 1.0,\n", + " \"soc_disch_buffer\": 0.0,\n", + " \"eff\": 0.0,\n", + " \"soh\": 0.0,\n", + " \"pwr_out_electrical_watts\": 0.0,\n", + " \"pwr_out_prop_watts\": 0.0,\n", + " \"pwr_aux_watts\": 0.0,\n", + " \"pwr_loss_watts\": 0.0,\n", + " \"pwr_out_chemical_watts\": 0.0,\n", + " \"energy_out_electrical_joules\": 0.0,\n", + " \"energy_out_prop_joules\": 0.0,\n", + " \"energy_aux_joules\": 0.0,\n", + " \"energy_loss_joules\": 0.0,\n", + " \"energy_out_chemical_joules\": 0.0,\n", + " },\n", + " \"history\": {\n", + " \"pwr_prop_max_watts\": [],\n", + " \"pwr_regen_max_watts\": [],\n", + " \"pwr_disch_max_watts\": [],\n", + " \"pwr_charge_max_watts\": [],\n", + " \"i\": [],\n", + " \"soc\": [],\n", + " \"soc_regen_buffer\": [],\n", + " \"soc_disch_buffer\": [],\n", + " \"eff\": [],\n", + " \"soh\": [],\n", + " \"pwr_out_electrical_watts\": [],\n", + " \"pwr_out_prop_watts\": [],\n", + " \"pwr_aux_watts\": [],\n", + " \"pwr_loss_watts\": [],\n", + " \"pwr_out_chemical_watts\": [],\n", + " \"energy_out_electrical_joules\": [],\n", + " \"energy_out_prop_joules\": [],\n", + " \"energy_aux_joules\": [],\n", + " \"energy_loss_joules\": [],\n", + " \"energy_out_chemical_joules\": [],\n", + " },\n", + " \"save_interval\": 1,\n", + " }\n", + "\n", + " em = {\n", + " \"eff_interp_achieved\": {\n", + " \"data\": {\n", + " \"grid\": [{\"v\": 1, \"dim\": [2], \"data\": [0.0, 1.0]}],\n", + " \"values\": {\"v\": 1, \"dim\": [2], \"data\": [em_eff, em_eff]},\n", + " },\n", + " \"strategy\": \"Linear\",\n", + " \"extrapolate\": \"Error\",\n", + " },\n", + " \"eff_interp_at_max_input\": {\n", + " \"data\": {\n", + " \"grid\": [{\"v\": 1, \"dim\": [2], \"data\": [0.0, 1.0]}],\n", + " \"values\": {\"v\": 1, \"dim\": [2], \"data\": [em_eff, em_eff]},\n", + " },\n", + " \"strategy\": \"Linear\",\n", + " \"extrapolate\": \"Error\",\n", + " },\n", + " \"pwr_out_max_watts\": em_max_pwr_w,\n", + " \"specific_pwr_watts_per_kilogram\": None,\n", + " \"mass_kilograms\": None,\n", + " \"save_interval\": 1,\n", + " \"state\": {\n", + " \"i\": 0,\n", + " \"eff\": 0.0,\n", + " \"pwr_mech_fwd_out_max_watts\": 0.0,\n", + " \"eff_fwd_at_max_input\": 0.0,\n", + " \"pwr_mech_regen_max_watts\": 0.0,\n", + " \"eff_at_max_regen\": 0.0,\n", + " \"pwr_out_req_watts\": 0.0,\n", + " \"energy_out_req_joules\": 0.0,\n", + " \"pwr_elec_prop_in_watts\": 0.0,\n", + " \"energy_elec_prop_in_joules\": 0.0,\n", + " \"pwr_mech_prop_out_watts\": 0.0,\n", + " \"energy_mech_prop_out_joules\": 0.0,\n", + " \"pwr_mech_dyn_brake_watts\": 0.0,\n", + " \"energy_mech_dyn_brake_joules\": 0.0,\n", + " \"pwr_elec_dyn_brake_watts\": 0.0,\n", + " \"energy_elec_dyn_brake_joules\": 0.0,\n", + " \"pwr_loss_watts\": 0.0,\n", + " \"energy_loss_joules\": 0.0,\n", + " },\n", + " \"history\": {\n", + " \"i\": [],\n", + " \"eff\": [],\n", + " \"pwr_mech_fwd_out_max_watts\": [],\n", + " \"eff_fwd_at_max_input\": [],\n", + " \"pwr_mech_regen_max_watts\": [],\n", + " \"eff_at_max_regen\": [],\n", + " \"pwr_out_req_watts\": [],\n", + " \"energy_out_req_joules\": [],\n", + " \"pwr_elec_prop_in_watts\": [],\n", + " \"energy_elec_prop_in_joules\": [],\n", + " \"pwr_mech_prop_out_watts\": [],\n", + " \"energy_mech_prop_out_joules\": [],\n", + " \"pwr_mech_dyn_brake_watts\": [],\n", + " \"energy_mech_dyn_brake_joules\": [],\n", + " \"pwr_elec_dyn_brake_watts\": [],\n", + " \"energy_elec_dyn_brake_joules\": [],\n", + " \"pwr_loss_watts\": [],\n", + " \"energy_loss_joules\": [],\n", + " },\n", + " }\n", + "\n", + " pt_cntrl = {\n", + " \"StopStart\": {\n", + " \"fc_min_time_on_seconds\": None,\n", + " \"soc_fc_forced_on\": None,\n", + " \"frac_of_most_eff_pwr_to_run_fc\": None,\n", + " \"temp_fc_forced_on_kelvin\": None,\n", + " \"temp_fc_allowed_off_kelvin\": None,\n", + " \"time_delay_after_stop_until_fc_can_turn_off_seconds\": None,\n", + " \"em_can_regen\": allow_regen,\n", + " \"save_interval\": 1,\n", + " \"state\": {\n", + " \"i\": 0,\n", + " \"fc_temperature_too_low\": False,\n", + " \"vehicle_not_stopped\": False,\n", + " \"on_time_too_short\": False,\n", + " \"aux_power_demand\": False,\n", + " \"charging_for_low_soc\": False,\n", + " \"time_vehicle_stopped_seconds\": 0.0,\n", + " \"vehicle_not_stopped_long_enough\": False,\n", + " \"has_traction_power_request\": False,\n", + " },\n", + " \"history\": {\n", + " \"i\": [],\n", + " \"fc_temperature_too_low\": [],\n", + " \"vehicle_not_stopped\": [],\n", + " \"on_time_too_short\": [],\n", + " \"aux_power_demand\": [],\n", + " \"charging_for_low_soc\": [],\n", + " \"time_vehicle_stopped_seconds\": [],\n", + " \"vehicle_not_stopped_long_enough\": [],\n", + " \"has_traction_power_request\": [],\n", + " },\n", + " },\n", + " }\n", + "\n", + " sim_params = {\n", + " \"res_per_fuel_lim\": 0.005,\n", + " \"soc_balance_iter_err\": 5,\n", + " \"balance_soc\": True,\n", + " \"save_soc_bal_iters\": False,\n", + " }\n", + "\n", + " # Approximate idle fuel consumption from the conventional variant.\n", + " veh_dict[\"pt_type\"][\"Conv\"][\"fc\"][\"pwr_idle_fuel_watts\"] = 11_900.0\n", + "\n", + " veh_dict[\"pt_type\"] = {\n", + " \"HEV\": {\n", + " \"res\": res,\n", + " \"fs\": veh_dict[\"pt_type\"][\"Conv\"][\"fs\"],\n", + " \"fc\": veh_dict[\"pt_type\"][\"Conv\"][\"fc\"],\n", + " \"em\": em,\n", + " \"transmission\": veh_dict[\"pt_type\"][\"Conv\"][\"transmission\"],\n", + " \"pt_cntrl\": pt_cntrl,\n", + " \"aux_cntrl\": \"AuxOnResPriority\",\n", + " \"mass_kilograms\": None,\n", + " \"sim_params\": sim_params,\n", + " }\n", + " }\n", + "\n", + " return fastsim.Vehicle.from_pydict(veh_dict)" + ] + }, + { + "cell_type": "markdown", + "id": "df77b594", + "metadata": {}, + "source": [ + "### Notes on Model Simplifications\n", + "\n", + "To keep the demo readable, the uHEV conversion uses simplified component assumptions (for example, constant electric machine efficiency and compact battery sizing).\n", + "\n", + "Those simplifications are useful for isolating control effects, but they are not a substitute for full component calibration. For production-level studies, replace these assumptions with calibrated maps." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "ccc9e0be", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Micro-Hybrid Fuel Economy: 33.37 mpg\n", + "Fuel-Use Reduction (Micro-Hybrid): -6.16%\n" + ] + } + ], + "source": [ + "veh_uhev = conv_to_micro_hybrid(veh)\n", + "veh_uhev.set_save_interval(1)\n", + "\n", + "sd_uhev = fastsim.SimDrive(veh_uhev, cyc)\n", + "sd_uhev.walk()\n", + "df_uhev = sd_uhev.to_dataframe(pandas=True)\n", + "\n", + "fuel_uhev_mj = df_uhev[\"veh.pt_type.HEV.fc.history.energy_fuel_joules\"].iloc[-1] / 1e6\n", + "gge_uhev_gal = fuel_uhev_mj / MJ_PER_GGE\n", + "fuel_economy_uhev_mpg = distance_mi / gge_uhev_gal\n", + "percent_reduction_uhev = (fuel_mj - fuel_uhev_mj) * 100.0 / fuel_mj\n", + "\n", + "print(f\"Micro-Hybrid Fuel Economy: {fuel_economy_uhev_mpg:.2f} mpg\")\n", + "print(f\"Fuel-Use Reduction (Micro-Hybrid): {percent_reduction_uhev:.2f}%\")" + ] + }, + { + "cell_type": "markdown", + "id": "2c5d9ef2", + "metadata": {}, + "source": [ + "This run quantifies the additional fuel-use reduction enabled by electrified accessory support and start-stop coordination in the uHEV configuration.\n", + "\n", + "Compare all three outputs together:\n", + "\n", + "- baseline vs start-stop: control-only effect,\n", + "- start-stop vs uHEV: electrification benefit on top of start-stop,\n", + "- baseline vs uHEV: total modeled benefit in this setup." + ] + }, + { + "cell_type": "markdown", + "id": "bb9c8d53", + "metadata": {}, + "source": [ + "## Visualizing Fuel Converter Behavior\n", + "\n", + "The first plot compares fuel-converter fuel power across the three runs.\n", + "\n", + "What to look for:\n", + "\n", + "- During stopped periods, baseline typically retains nonzero idle fuel power.\n", + "- Start-stop and micro-hybrid runs should show lower fuel power during those same periods.\n", + "- Similar traces during moving periods indicate changes are concentrated around idle behavior, which is expected for start-stop systems.\n", + "\n", + "The second plot checks target vs achieved speed to confirm that fuel-use differences are not caused by failing to follow the cycle." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "b414f3e5", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "name": "Conventional", + "type": "scatter", + "x": { + "bdata": 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9LEAX63zPQWwdQFqKT7BTVj9AnzyxayhsN0AQcYSMug0XQIxoBCpuBzNAzR8w/j/1MkBXbks+iAErQHzeRjaN5TZAfN5GNo3lNkB83kY2jeU2QHzeRjaN5TZAfN5GNo3lNkCYS26ziLMqQHGSNXpPlDlAOyLEm3SgOUCf9Oog8OY+QAiVfoyvzhtAmEtus4izKkDJfsH468M2QMl+wfjrwzZA1enDf/JlKkAmC4sryBgqQEn685WVUjJAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0DnYdSV4NkeQBYaYsiMXjBA/mdQ8k9+NUDmUGoNdg4yQC/aOA4jqzpABN23D8NUN0B3jXL095U2QCXlolZ7ajtAb4WtYnq2QkCQOHYkrfpDQInSaRQSmkNAABf9/M3sQUBbLMwUyxlBQJK/dJ1K2D9AVvt1ITtbQUCzAi2rnedBQO+/CnTUc0BA3QBk0NiIP0CO/vP3WU46QLYmYVXa0TNAdUHw+9ZuMEB1QfD71m4wQHVB8PvWbjBAdUHw+9ZuMEB1QfD71m4wQNqX89jiWj5APY30zWwjN0BiwGs6J0M3QBBxhIy6DRdAEHGEjLoNF0CugBq1mfUeQHVB8PvWbjBAdUHw+9ZuMEAQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQN1JrrDNRDBA22lI8c4sO0CMpVRlSV5CQHuR68UrPkZAsE1HLAS1QECe3hOYrZJAQNsZcB2P4zxAUpA6vS02KEBSkDq9LTYoQDj7Tm0RyjdAoXIHrcj8MUA09HLvuNgoQBBxhIy6DRdAEHGEjLoNF0AiDiYvvUsiQBBxhIy6DRdAZo4cfrexNUBtkcyNbh0uQDM0baJRXCJAEHGEjLoNF0Cx3+mUTwoiQCH9+nlR0CdAIRVe8TaHLUBmjhx+t7E1QEgaT19GFjlA+1pE51kLPUDYYPVVmRI7QK8vKVmcV0BAczVOrzL/PUBEGACVv3AxQPKsmzU0gDFA4qIiBaGqOECaL2Qh4N84QOzsfiRwFDlA5A1F9vZJMkD6BCF7EfgtQPoEIXsR+C1Aj106UWUyNUA22F4lVkhCQCadE0nrUUdAI1dJHe2NQkBV8odSF8I8QFx1ltBxNT1AEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0DMfz3P08MkQCCBDFI/PTRAPd+zD7R+PkDDXV5U7RFAQN/TD3IzKEJAiWIItwJZP0BJAYUNWuA+QN+owG95CkdAVckpAFKeSEAYNqLoO+pDQD+z1TBSHUNAJOerxwLtQkBusLB+VaREQENWxVm9NUFAPY+EDa8OOUD1ZCFfBtE6QGdmGUWWfzRAsjY+hGmPNEC6WESXICcxQMOlAvd6gjdAR50uCeq+NECH1zx0yFUxQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0B2SuGwlJ8gQOUBE2uHyy1AC7Ghku7MLUBQI/B/Khg4QDJfn2oflz9AiaZ3HQwkQECQwcdLSrNCQFOR8vIZnTtA84N+uJgzQ0DbDmkmF4gzQBBxhIy6DRdAIf36eVHQJ0BZrb7o8gVEQAFL1WyShj9Agjzza9LZPkAzeqQtk1VEQCRz4TjBoUFA+gQhexH4LUAQcYSMug0XQNj1pM/gyTtASxkn7tgtPEBwfMxolLM1QBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQPgzgzFZ1BdA4RadcH8+L0C4q/rahvw6QHdJwS+acEFAUghw8KqORECJYgi3Alk/QJA4diSt+kNAK573qV4kRkBddc7HWoFEQFZqG+GX7UhAxB1R8cOqR0ApQE6OfdNGQJ2vkVB8O0NAUJRKwEa/Q0AbggZKRcI/QM8GWbfBvz1AU51Ab/8jOkCtz9rt2tQ7QDtxHItodTpAbM6pOUaiMkAQcYSMug0XQAmW8wP9TCxAOHfpbn1YIkAQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQHTVCZwZWhlAEHGEjLoNF0AQcYSMug0XQCuDHEy2fC1AmFA17o2YOkCCJaW5WvRBQAzJtSA2/EZAaOM9/xFTSUCTIp70YXVDQCZkus//7TxA9mzXoG6+QEBEXp2DlzxCQA2nDBM2wkNAfgMMTL2uQ0ALLEGxeZRLQCNwMBR0k0lAlIeDL1lvREAroGEP5hs+QFy0rkuvUjpAExUxruC2QEDvE+P3itIyQO8T4/eK0jJA33L0s+AKLUAQcYSMug0XQKT8PP3EpyJAaPojhS9yMkBo+iOFL3IyQAmW8wP9TCxAEHGEjLoNF0B2GWljznMrQPj0Hn7g8jFA+PQefuDyMUD49B5+4PIxQPj0Hn7g8jFA+PQefuDyMUADrcEQY201QPjl0i7ysztABaydzgCPPkBQX6T0B/JMQKOMOC8Q40ZAGoFb32+XR0Ced1K3UUxIQPZ9F26wdDVAvGvEB9rbQkBLgGqQkFVAQFWgCY3w3D1AWU7T/MYcMkBmNxeE6TMpQEw8CnICHDZAjxdoHDLnMUAQcYSMug0XQBBxhIy6DRdAPghQeutHMUAQcYSMug0XQBBxhIy6DRdAuD5VSpWIMEAQcYSMug0XQJTGtRMDRDBAEHGEjLoNF0AQcYSMug0XQLNKvh54by5AGCAB86Z0M0AYIAHzpnQzQBggAfOmdDNAEHGEjLoNF0A7i5TwkuwtQM6Pb9mXMzNABZXgi4u2I0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0BuMPzAyGEqQII882vS2T5A56yP9xTkPUAc/SnyNPU5QK8QBFrucztAOv9EDcG9O0C6OEoddBU8QPZat4zljUBA9scNeLn4QkAAM0hqqn1DQMlV+FjNSj9ABruTeWJlMUB2XC+EMMA3QI4rBzGQ2TdAqhMSotnyN0BrC5AQfzRAQP9xRaRlOzpAq7DGZObVQUDDZDN8/Ts2QGWHOXjkSzZAzgCqt8tbNkB8K5kQ6kotQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQMtrJIWPqjhA8qFX2VXQOEBSf+DuKZY6QJGom4eLEzdADZdQXdZ8PECWTbxra+5AQJ7wItbOEEBArg5Jk0EYOkAAXkWWtHtAQO/NpKKxwkBAJQunRPHqOECX+GilEWstQHwrmRDqSi1Am7NK4dkqLUAQcYSMug0XQBBxhIy6DRdA7SreBHMOLEDfgNR/SEIyQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQMHinvomRDtAeggBfraoPUCuDkmTQRg6QENFaR8hVzhAg5kKNSwkIkBDRWkfIVc4QN+A1H9IQjJA34DUf0hCMkAQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQF6Nx/4TRipAh9c8dMhVMUCH1zx0yFUxQPZ3MY2YqiBAbWt/YJftKUC6WESXICcxQBBxhIy6DRdAEHGEjLoNF0DotwN7gcowQDx0g2O7MzlAr+vgmRt5KUAQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdA+/PhaoH2LECxI2Zin80xQDDdPAOgyUBARcMFyH4/QECkoV5gL9g8QJDtGnMZJDZAuG2wfShENkDN5m8dqKQ7QPObXWwLtDZA0zV5BWTxM0ACn+QsKwE0QPFE4d7A8zZAEHGEjLoNF0CugBq1mfUeQHVB8PvWbjBAdUHw+9ZuMEAQcYSMug0XQF9wXxepGB5AvUeq113CHUAzOpJlKAUwQA33hSUsVDZAu6l3kjKwO0B1QfD71m4wQBBxhIy6DRdAZ95qtUcyMEAQcYSMug0XQMFV/KO+HTpAfPlv42ziPUD7Y4CkmfQ7QBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAzH89z9PDJEAO75HipVQ4QAst4a4sgEBA+gaJH9ZWRUCdGdhmmbBKQE+7N6KnvEdAbAKf9PsyQEBpRJsNV0FDQN4s/z9Ur0FApHSot0F3QECzAi2rnedBQNjBJeER4UdAyoU7k94DTUCCqpetIuxGQOa2YvUgWEBAYN8RcEleOkDfsK/aY/w1QBgUxHU5kjJAGBTEdTmSMkAQcYSMug0XQPbSCeyG1iFAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAdc9LzzXaLEC6fvZ2Z/02QIjIrz/VjT1Ajj8nk1rBOkB8O2Y10mIbQNCgpwURTy5A49+dtOliNUAQcYSMug0XQNlJhiIBMi5A2UmGIgEyLkA0QxqumkxAQN5NWO3sOjtAstiLk55pPUBk7K6MJ4Q2QPKhV9lV0DhAUn/g7imWOkADS4IliTA0QCysz3fjIilAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdA52HUleDZHkA0rmLhyAwzQAP7BL+u1jxAmPIPUf9LQ0Dsy5/rFJZIQCIN8L7OhUxAO/CJz/fwQkAre40jVPtDQA8iuHVnVkhA40GcSu2RQ0BVrdHLaHFCQMXva6+B9UBA/hmwJhdcQUDT18Pyfs5CQBZDud1HoTlARm81N+YEQEDPI2063gQ+QK3P2u3a1DtAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdA2tbvxgikMUAQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAfYNqRUc2HEAgPvXroAMoQA1o4p/lPihAEHGEjLoNF0B9g2pFRzYcQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdA90ixWfguF0DL8hwWh10ZQEHJ3dbGYCFAWrMuvMYdMECKYosiSbc7QOzGFbtV+UFAAe/RrtWHRECNSYA8wNo7QEkUyDp0cjVA57rUDHgwQUAf9jzr5v1GQGm4xijJbUdAM8Ev3iHMQEAYlo0AgT40QMNso0OrjzFAIc7btySfMUCXVStQtew2QOBbIAp7kT9Ajj8nk1rBOkDvvwp01HNAQN0AZNDYiD9Au6l3kjKwO0BUUqbscHkoQF4N2qWvYihAftmobRekNkDh8wIGSYo6QFeHKgqWuTpAYsBrOidDN0Bn6iY7fP86QMMyNCgUojdAUxqQk06tOUBpBHHgKg41QNrW78YIpDFA2tbvxgikMUAgNefkiL0qQGaHWM2DnypAN/yUSqmEMUAQcYSMug0XQIo5YQt6KCpAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQC5KodwfgiVA4cfok4OVOECRtLytx6ZAQFZAFg6CgUVA6m6eym/eSkASu1vpLltQQEZ1/WAV/k1As4CVU99zSkAiw6d/sf46QBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdA1MjBeIlqF0D0oAWaJT4hQAgX9c2xkS9ABe/ZTV5tOkAYoIpOQTtCQK4/u2I5QUFAJw/VQtHbOECN/e1SQ1spQBBxhIy6DRdAh+ZLLl93LUD6CdknzeYwQCDCJNcSLCVAf9D3vACvOUBzQaFNENJAQBtbM7xt6EFAkMYkY2qiQ0DcffiXBt1AQKrMIQ3tKUNADvv/ClUCOkC6fvZ2Z/02QOB6EZhKLy1AEHGEjLoNF0AQcYSMug0XQEnE9vE9yzZAun72dmf9NkBRnJuZ2cA0QDpuVsuu8CVAdxxTFeLTGUDHALG+vo8ZQHXPS8812ixAXjA/E2qKJUAQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0DYX1f21Yw3QO4oMcXmWDNAsB313tF5M0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AeQDJMU7UcQPdPDGJfmBhA908MYl+YGED3TwxiX5gYQPdPDGJfmBhAMvwvy20nIEA9skt+rX8pQLvk6SJvJStAIcE9xTn6LkCCHt0BGb8zQOr4ZpVl0jhAeBkJ9m3FPEBZ1bbFDuMxQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQO7RD4A2DzdAxe9cA3k5QEA2uQxvEkdHQEhLUkhE00tAYeyybl6/S0Dnd5kUvdtEQMItIzTG1j5AtilPyD36OED/Gxh74wpAQDN4MDrwdjxAx+rZhNdGO0DBVfyjvh06QM9AGPI1IzBAEHGEjLoNF0AQcYSMug0XQJcvxOo6HC9Aly/E6jocL0CXL8TqOhwvQJcvxOo6HC9Aly/E6jocL0DeTVjt7Do7QC4YtEU/RDNAwVX8o74dOkA6TTyvK3Q2QJ4HMD3GwzhA4fMCBkmKOkA70iOMpwM3QAXw3/1VQDRAA6QykgVAOUAq9PKb1mI3QFZE9eI8DUJAX2HwQyhxQkBnjTmV+GA+QDJCyqcM7kFAzgCqt8tbNkB8K5kQ6kotQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAaXQHm1pDIUBLo1V968Y2QKYaDSVxdD9ANOt+Mad/REAkJR+zi5dAQM6VuFA/skJAEW2e1cnyQkDMhBI7c85CQHat8N68gkFAybvCwZNAPUC0jWfCWvdAQBfuYKxxZztAXzS6jRnRNEDHfHQ3EGE3QBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQA==", + "dtype": "f8" + } + }, + { + "name": "Conventional + Stop/Start", + "type": "scatter", + "x": { + "bdata": 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"backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "yaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "zaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + } + }, + "shapedefaults": { + "line": { + "color": "#2a3f5f" + } + }, + "ternary": { + "aaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "baxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "caxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "title": { + "x": 0.05 + }, + "xaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + }, + "yaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + } + } + }, + "title": { + "text": "Target vs Achieved Speed" + }, + "xaxis": { + "title": { + "text": "Time [s]" + } + }, + "yaxis": { + "title": { + "text": "Speed [m/s]" + } + } + } + } + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig = go.Figure()\n", + "\n", + "fig.add_trace(go.Scatter(\n", + " x=df[\"cyc.time_seconds\"],\n", + " y=df[\"veh.pt_type.Conv.fc.history.pwr_fuel_watts\"] / 1e3,\n", + " name=\"Conventional\",\n", + "))\n", + "fig.add_trace(go.Scatter(\n", + " x=df_ss[\"cyc.time_seconds\"],\n", + " y=df_ss[\"veh.pt_type.Conv.fc.history.pwr_fuel_watts\"] / 1e3,\n", + " name=\"Conventional + Stop/Start\",\n", + "))\n", + "fig.add_trace(go.Scatter(\n", + " x=df_uhev[\"cyc.time_seconds\"],\n", + " y=df_uhev[\"veh.pt_type.HEV.fc.history.pwr_fuel_watts\"] / 1e3,\n", + " name=\"Micro-Hybrid\",\n", + "))\n", + "\n", + "fig.update_layout(\n", + " title=\"Fuel Converter Fuel Power Comparison\",\n", + " xaxis_title=\"Time [s]\",\n", + " yaxis_title=\"Fuel Power [kW]\",\n", + " hovermode=\"x unified\",\n", + ")\n", + "fig.show()\n", + "\n", + "fig_speed = go.Figure()\n", + "fig_speed.add_trace(go.Scatter(\n", + " x=df[\"cyc.time_seconds\"],\n", + " y=df[\"cyc.speed_meters_per_second\"],\n", + " name=\"Target\",\n", + " line={\"dash\": \"dash\", \"width\": 3},\n", + "))\n", + "fig_speed.add_trace(go.Scatter(\n", + " x=df[\"cyc.time_seconds\"],\n", + " y=df[\"veh.history.speed_ach_meters_per_second\"],\n", + " name=\"Achieved\",\n", + "))\n", + "fig_speed.update_layout(\n", + " title=\"Target vs Achieved Speed\",\n", + " xaxis_title=\"Time [s]\",\n", + " yaxis_title=\"Speed [m/s]\",\n", + ")\n", + "fig_speed.show()" + ] } ], "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, "language_info": { - "name": "python" + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.14.6" } }, "nbformat": 4, diff --git a/docs/content/user-guide/running-simulations/editing-sim-params.ipynb b/docs/content/user-guide/running-simulations/editing-sim-params.ipynb index f4907db0c..e61fb8a9d 100644 --- a/docs/content/user-guide/running-simulations/editing-sim-params.ipynb +++ b/docs/content/user-guide/running-simulations/editing-sim-params.ipynb @@ -26,8 +26,6 @@ "\n", "The `SimParams` class defines the behavior of the solver for achieved vehicle speed as well as parameters related to trace miss.\n", "\n", - "### Key Parameters\n", - "\n", "**Achieved Speed Solver:**\n", "\n", "- **`ach_speed_max_iter`** : Maximum number of iterations for the achieved speed solver. Higher values allow more iterations to find a speed the vehicle can achieve, but increase computation time. Default: 3.\n", @@ -52,7 +50,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 26, "id": "06a888ed", "metadata": {}, "outputs": [ @@ -79,7 +77,7 @@ " 'ambient_thermal_soak': False}" ] }, - "execution_count": 22, + "execution_count": 26, "metadata": {}, "output_type": "execute_result" } @@ -96,7 +94,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 27, "id": "#VSC-code-001", "metadata": { "language": "python" @@ -148,12 +146,12 @@ "- **`soc_balance_iter_err`** : When `balance_soc` is true, the maximum number of iterations allowed to achieve SOC balance. If the solver cannot balance SOC within this many iterations, an error is raised. Default: 5.\n", "- **`save_soc_bal_iters`** : Whether to save the history for each intermediate SOC balancing iteration (for debugging). Default: false.\n", "\n", - "## Example:" + "### Example:" ] }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 28, "id": "#VSC-code-004", "metadata": { "language": "python" @@ -175,7 +173,7 @@ " 'save_soc_bal_iters': False}" ] }, - "execution_count": 24, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } @@ -196,7 +194,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 29, "id": "2be84361", "metadata": {}, "outputs": [ From 35ca6d4346adf211a14cdc4f3188252b4c293f45 Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Tue, 14 Jul 2026 19:09:38 -0600 Subject: [PATCH 29/67] dfco demo --- .../running-simulations/advanced/dfco.ipynb | 2152 ++++++++++++++++- .../advanced/start-stop.ipynb | 1656 ++++++------- 2 files changed, 2922 insertions(+), 886 deletions(-) diff --git a/docs/content/user-guide/running-simulations/advanced/dfco.ipynb b/docs/content/user-guide/running-simulations/advanced/dfco.ipynb index c4ed62fa8..fee64da55 100644 --- a/docs/content/user-guide/running-simulations/advanced/dfco.ipynb +++ b/docs/content/user-guide/running-simulations/advanced/dfco.ipynb @@ -5,19 +5,2165 @@ "id": "f9b9563e", "metadata": {}, "source": [ - "# Modeling Deceleration Fuel Cut-off (DFCO)" + "# Modeling Deceleration Fuel Cut-off (DFCO)\n", + "\n", + "Deceleration Fuel Cut-off (DFCO) is a control strategy that stops fuel injection during qualifying deceleration events. In practical terms, when the vehicle is coasting down and conditions are met, the engine can keep rotating without consuming fuel." ] }, { "cell_type": "markdown", "id": "5f1c313b", "metadata": {}, - "source": [] + "source": [ + "This demo compares two runs on the same UDDS cycle:\n", + "\n", + "1. A baseline conventional vehicle with DFCO disabled.\n", + "2. The same vehicle with DFCO enabled.\n", + "\n", + "The comparison is designed to isolate DFCO's effect on fuel use and show where that fuel reduction appears in the time-series signals." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "722f8474", + "metadata": {}, + "outputs": [], + "source": [ + "import fastsim\n", + "import plotly.graph_objects as go\n", + "\n", + "METERS_PER_MILE = 1609.34\n", + "MJ_PER_GGE = 125.0" + ] + }, + { + "cell_type": "markdown", + "id": "0882dc8e", + "metadata": {}, + "source": [ + "## Modeling Approach\n", + "\n", + "This notebook holds the vehicle and cycle constant, then changes only DFCO parameters.\n", + "\n", + "`set_dfco_params(...)` controls three key pieces of behavior:\n", + "\n", + "- `enabled`: turns DFCO logic on or off,\n", + "- `min_dfco_speed_m_per_s`: minimum speed where DFCO may activate,\n", + "- `max_accel_for_dfco_m_per_s2`: acceleration threshold for activation (typically negative for deceleration)." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "bfc730db", + "metadata": {}, + "outputs": [], + "source": [ + "cyc = fastsim.Cycle.from_resource(\"udds.csv\")\n", + "\n", + "# Baseline: DFCO disabled\n", + "veh = fastsim.Vehicle.from_resource(\"2012_Ford_Fusion.yaml\")\n", + "veh.set_dfco_params(\n", + " enabled=False,\n", + " min_dfco_speed_m_per_s=0.0,\n", + " max_accel_for_dfco_m_per_s2=0.0,\n", + ")\n", + "sd = fastsim.SimDrive(veh, cyc)\n", + "sd.walk()\n", + "df = sd.to_dataframe(pandas=True)\n", + "\n", + "# DFCO case: enabled above 25 mph and during moderate deceleration\n", + "veh_dfco = fastsim.Vehicle.from_resource(\"2012_Ford_Fusion.yaml\")\n", + "veh_dfco.set_dfco_params(\n", + " enabled=True,\n", + " min_dfco_speed_m_per_s=11.176,\n", + " max_accel_for_dfco_m_per_s2=-0.2,\n", + ")\n", + "sd_dfco = fastsim.SimDrive(veh_dfco, cyc)\n", + "sd_dfco.walk()\n", + "df_dfco = sd_dfco.to_dataframe(pandas=True)" + ] + }, + { + "cell_type": "markdown", + "id": "91f36ac7", + "metadata": {}, + "source": [ + "## Fuel Economy Comparison\n", + "\n", + "Fuel economy is computed from total cycle distance and cumulative fuel energy. This gives a direct before/after DFCO comparison under identical drive conditions." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "ed2db136", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Baseline Fuel Economy: 35.42 mpg\n", + "With DFCO Fuel Economy: 36.07 mpg\n", + "Fuel-Use Reduction (DFCO): 1.80%\n" + ] + } + ], + "source": [ + "cyc_dict = cyc.to_pydict()\n", + "distance_m = cyc_dict[\"dist_meters\"][-1]\n", + "distance_mi = distance_m / METERS_PER_MILE\n", + "\n", + "fuel_mj = df[\"veh.pt_type.Conv.fc.history.energy_fuel_joules\"].iloc[-1] / 1e6\n", + "fuel_dfco_mj = df_dfco[\"veh.pt_type.Conv.fc.history.energy_fuel_joules\"].iloc[-1] / 1e6\n", + "\n", + "gge_gal = fuel_mj / MJ_PER_GGE\n", + "gge_dfco_gal = fuel_dfco_mj / MJ_PER_GGE\n", + "fuel_economy_mpg = distance_mi / gge_gal\n", + "fuel_economy_dfco_mpg = distance_mi / gge_dfco_gal\n", + "\n", + "percent_reduction_dfco = (fuel_mj - fuel_dfco_mj) * 100.0 / fuel_mj\n", + "\n", + "print(f\"Baseline Fuel Economy: {fuel_economy_mpg:.2f} mpg\")\n", + "print(f\"With DFCO Fuel Economy: {fuel_economy_dfco_mpg:.2f} mpg\")\n", + "print(f\"Fuel-Use Reduction (DFCO): {percent_reduction_dfco:.2f}%\")" + ] + }, + { + "cell_type": "markdown", + "id": "f88d826d", + "metadata": {}, + "source": [ + "## Visualizing DFCO Behavior\n", + "\n", + "The plot below combines fuel power and cycle speed into one shared-time figure.\n", + "\n", + "What to look for:\n", + "\n", + "- Green shaded windows mark segments where DFCO is eligible (speed at or above the threshold and deceleration beyond the threshold).\n", + "- In those windows, the DFCO run should show fuel power dropping toward zero compared with baseline.\n", + "- Outside those windows, traces should be closer because both runs use the same vehicle and cycle.\n", + "\n", + "A time-range slider is included so you can zoom into specific events and directly compare fuel behavior against the cycle segment." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "39862094", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "name": "Fuel Power (Baseline)", + "type": "scatter", + "x": { + "bdata": 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9LEAX63zPQWwdQFqKT7BTVj9AnzyxayhsN0AQcYSMug0XQIxoBCpuBzNAzR8w/j/1MkBXbks+iAErQHzeRjaN5TZAfN5GNo3lNkB83kY2jeU2QHzeRjaN5TZAfN5GNo3lNkCYS26ziLMqQHGSNXpPlDlAOyLEm3SgOUCf9Oog8OY+QAiVfoyvzhtAmEtus4izKkDJfsH468M2QMl+wfjrwzZA1enDf/JlKkAmC4sryBgqQEn685WVUjJAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0DnYdSV4NkeQBYaYsiMXjBA/mdQ8k9+NUDmUGoNdg4yQC/aOA4jqzpABN23D8NUN0B3jXL095U2QCXlolZ7ajtAb4WtYnq2QkCQOHYkrfpDQInSaRQSmkNAABf9/M3sQUBbLMwUyxlBQJK/dJ1K2D9AVvt1ITtbQUCzAi2rnedBQO+/CnTUc0BA3QBk0NiIP0CO/vP3WU46QLYmYVXa0TNAdUHw+9ZuMEB1QfD71m4wQHVB8PvWbjBAdUHw+9ZuMEB1QfD71m4wQNqX89jiWj5APY30zWwjN0BiwGs6J0M3QBBxhIy6DRdAEHGEjLoNF0CugBq1mfUeQHVB8PvWbjBAdUHw+9ZuMEAQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQN1JrrDNRDBA22lI8c4sO0CMpVRlSV5CQHuR68UrPkZAsE1HLAS1QECe3hOYrZJAQNsZcB2P4zxAUpA6vS02KEBSkDq9LTYoQDj7Tm0RyjdAoXIHrcj8MUA09HLvuNgoQBBxhIy6DRdAEHGEjLoNF0AiDiYvvUsiQBBxhIy6DRdAZo4cfrexNUBtkcyNbh0uQDM0baJRXCJAEHGEjLoNF0Cx3+mUTwoiQCH9+nlR0CdAIRVe8TaHLUBmjhx+t7E1QEgaT19GFjlA+1pE51kLPUDYYPVVmRI7QK8vKVmcV0BAczVOrzL/PUBEGACVv3AxQPKsmzU0gDFA4qIiBaGqOECaL2Qh4N84QOzsfiRwFDlA5A1F9vZJMkD6BCF7EfgtQPoEIXsR+C1Aj106UWUyNUA22F4lVkhCQCadE0nrUUdAI1dJHe2NQkBV8odSF8I8QFx1ltBxNT1AEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0DMfz3P08MkQCCBDFI/PTRAPd+zD7R+PkDDXV5U7RFAQN/TD3IzKEJAiWIItwJZP0BJAYUNWuA+QN+owG95CkdAVckpAFKeSEAYNqLoO+pDQD+z1TBSHUNAJOerxwLtQkBusLB+VaREQENWxVm9NUFAPY+EDa8OOUD1ZCFfBtE6QGdmGUWWfzRAsjY+hGmPNEC6WESXICcxQMOlAvd6gjdAR50uCeq+NECH1zx0yFUxQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0B2SuGwlJ8gQOUBE2uHyy1AC7Ghku7MLUBQI/B/Khg4QDJfn2oflz9AiaZ3HQwkQECQwcdLSrNCQFOR8vIZnTtA84N+uJgzQ0DbDmkmF4gzQBBxhIy6DRdAIf36eVHQJ0BZrb7o8gVEQAFL1WyShj9Agjzza9LZPkAzeqQtk1VEQCRz4TjBoUFA+gQhexH4LUAQcYSMug0XQNj1pM/gyTtASxkn7tgtPEBwfMxolLM1QBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQPgzgzFZ1BdA4RadcH8+L0C4q/rahvw6QHdJwS+acEFAUghw8KqORECJYgi3Alk/QJA4diSt+kNAK573qV4kRkBddc7HWoFEQFZqG+GX7UhAxB1R8cOqR0ApQE6OfdNGQJ2vkVB8O0NAUJRKwEa/Q0AbggZKRcI/QM8GWbfBvz1AU51Ab/8jOkCtz9rt2tQ7QDtxHItodTpAbM6pOUaiMkAQcYSMug0XQAmW8wP9TCxAOHfpbn1YIkAQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQHTVCZwZWhlAEHGEjLoNF0AQcYSMug0XQCuDHEy2fC1AmFA17o2YOkCCJaW5WvRBQAzJtSA2/EZAaOM9/xFTSUCTIp70YXVDQCZkus//7TxA9mzXoG6+QEBEXp2DlzxCQA2nDBM2wkNAfgMMTL2uQ0ALLEGxeZRLQCNwMBR0k0lAlIeDL1lvREAroGEP5hs+QFy0rkuvUjpAExUxruC2QEDvE+P3itIyQO8T4/eK0jJA33L0s+AKLUAQcYSMug0XQKT8PP3EpyJAaPojhS9yMkBo+iOFL3IyQAmW8wP9TCxAEHGEjLoNF0B2GWljznMrQPj0Hn7g8jFA+PQefuDyMUD49B5+4PIxQPj0Hn7g8jFA+PQefuDyMUADrcEQY201QPjl0i7ysztABaydzgCPPkBQX6T0B/JMQKOMOC8Q40ZAGoFb32+XR0Ced1K3UUxIQPZ9F26wdDVAvGvEB9rbQkBLgGqQkFVAQFWgCY3w3D1AWU7T/MYcMkBmNxeE6TMpQEw8CnICHDZAjxdoHDLnMUAQcYSMug0XQBBxhIy6DRdAPghQeutHMUAQcYSMug0XQBBxhIy6DRdAuD5VSpWIMEAQcYSMug0XQJTGtRMDRDBAEHGEjLoNF0AQcYSMug0XQLNKvh54by5AGCAB86Z0M0AYIAHzpnQzQBggAfOmdDNAEHGEjLoNF0A7i5TwkuwtQM6Pb9mXMzNABZXgi4u2I0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0BuMPzAyGEqQII882vS2T5A56yP9xTkPUAc/SnyNPU5QK8QBFrucztAOv9EDcG9O0C6OEoddBU8QPZat4zljUBA9scNeLn4QkAAM0hqqn1DQMlV+FjNSj9ABruTeWJlMUB2XC+EMMA3QI4rBzGQ2TdAqhMSotnyN0BrC5AQfzRAQP9xRaRlOzpAq7DGZObVQUDDZDN8/Ts2QGWHOXjkSzZAzgCqt8tbNkB8K5kQ6kotQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQMtrJIWPqjhA8qFX2VXQOEBSf+DuKZY6QJGom4eLEzdADZdQXdZ8PECWTbxra+5AQJ7wItbOEEBArg5Jk0EYOkAAXkWWtHtAQO/NpKKxwkBAJQunRPHqOECX+GilEWstQHwrmRDqSi1Am7NK4dkqLUAQcYSMug0XQBBxhIy6DRdA7SreBHMOLEDfgNR/SEIyQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQMHinvomRDtAeggBfraoPUCuDkmTQRg6QENFaR8hVzhAg5kKNSwkIkBDRWkfIVc4QN+A1H9IQjJA34DUf0hCMkAQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQF6Nx/4TRipAh9c8dMhVMUCH1zx0yFUxQPZ3MY2YqiBAbWt/YJftKUC6WESXICcxQBBxhIy6DRdAEHGEjLoNF0DotwN7gcowQDx0g2O7MzlAr+vgmRt5KUAQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdA+/PhaoH2LECxI2Zin80xQDDdPAOgyUBARcMFyH4/QECkoV5gL9g8QJDtGnMZJDZAuG2wfShENkDN5m8dqKQ7QPObXWwLtDZA0zV5BWTxM0ACn+QsKwE0QPFE4d7A8zZAEHGEjLoNF0CugBq1mfUeQHVB8PvWbjBAdUHw+9ZuMEAQcYSMug0XQF9wXxepGB5AvUeq113CHUAzOpJlKAUwQA33hSUsVDZAu6l3kjKwO0B1QfD71m4wQBBxhIy6DRdAZ95qtUcyMEAQcYSMug0XQMFV/KO+HTpAfPlv42ziPUD7Y4CkmfQ7QBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAzH89z9PDJEAO75HipVQ4QAst4a4sgEBA+gaJH9ZWRUCdGdhmmbBKQE+7N6KnvEdAbAKf9PsyQEBpRJsNV0FDQN4s/z9Ur0FApHSot0F3QECzAi2rnedBQNjBJeER4UdAyoU7k94DTUCCqpetIuxGQOa2YvUgWEBAYN8RcEleOkDfsK/aY/w1QBgUxHU5kjJAGBTEdTmSMkAQcYSMug0XQPbSCeyG1iFAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAdc9LzzXaLEC6fvZ2Z/02QIjIrz/VjT1Ajj8nk1rBOkB8O2Y10mIbQNCgpwURTy5A49+dtOliNUAQcYSMug0XQNlJhiIBMi5A2UmGIgEyLkA0QxqumkxAQN5NWO3sOjtAstiLk55pPUBk7K6MJ4Q2QPKhV9lV0DhAUn/g7imWOkADS4IliTA0QCysz3fjIilAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdA52HUleDZHkA0rmLhyAwzQAP7BL+u1jxAmPIPUf9LQ0Dsy5/rFJZIQCIN8L7OhUxAO/CJz/fwQkAre40jVPtDQA8iuHVnVkhA40GcSu2RQ0BVrdHLaHFCQMXva6+B9UBA/hmwJhdcQUDT18Pyfs5CQBZDud1HoTlARm81N+YEQEDPI2063gQ+QK3P2u3a1DtAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdA2tbvxgikMUAQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAfYNqRUc2HEAgPvXroAMoQA1o4p/lPihAEHGEjLoNF0B9g2pFRzYcQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdA90ixWfguF0DL8hwWh10ZQEHJ3dbGYCFAWrMuvMYdMECKYosiSbc7QOzGFbtV+UFAAe/RrtWHRECNSYA8wNo7QEkUyDp0cjVA57rUDHgwQUAf9jzr5v1GQGm4xijJbUdAM8Ev3iHMQEAYlo0AgT40QMNso0OrjzFAIc7btySfMUCXVStQtew2QOBbIAp7kT9Ajj8nk1rBOkDvvwp01HNAQN0AZNDYiD9Au6l3kjKwO0BUUqbscHkoQF4N2qWvYihAftmobRekNkDh8wIGSYo6QFeHKgqWuTpAYsBrOidDN0Bn6iY7fP86QMMyNCgUojdAUxqQk06tOUBpBHHgKg41QNrW78YIpDFA2tbvxgikMUAgNefkiL0qQGaHWM2DnypAN/yUSqmEMUAQcYSMug0XQIo5YQt6KCpAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQC5KodwfgiVA4cfok4OVOECRtLytx6ZAQFZAFg6CgUVA6m6eym/eSkASu1vpLltQQEZ1/WAV/k1As4CVU99zSkAiw6d/sf46QBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdA1MjBeIlqF0D0oAWaJT4hQAgX9c2xkS9ABe/ZTV5tOkAYoIpOQTtCQK4/u2I5QUFAJw/VQtHbOECN/e1SQ1spQBBxhIy6DRdAh+ZLLl93LUD6CdknzeYwQCDCJNcSLCVAf9D3vACvOUBzQaFNENJAQBtbM7xt6EFAkMYkY2qiQ0DcffiXBt1AQKrMIQ3tKUNADvv/ClUCOkC6fvZ2Z/02QOB6EZhKLy1AEHGEjLoNF0AQcYSMug0XQEnE9vE9yzZAun72dmf9NkBRnJuZ2cA0QDpuVsuu8CVAdxxTFeLTGUDHALG+vo8ZQHXPS8812ixAXjA/E2qKJUAQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0DYX1f21Yw3QO4oMcXmWDNAsB313tF5M0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AeQDJMU7UcQPdPDGJfmBhA908MYl+YGED3TwxiX5gYQPdPDGJfmBhAMvwvy20nIEA9skt+rX8pQLvk6SJvJStAIcE9xTn6LkCCHt0BGb8zQOr4ZpVl0jhAeBkJ9m3FPEBZ1bbFDuMxQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQO7RD4A2DzdAxe9cA3k5QEA2uQxvEkdHQEhLUkhE00tAYeyybl6/S0Dnd5kUvdtEQMItIzTG1j5AtilPyD36OED/Gxh74wpAQDN4MDrwdjxAx+rZhNdGO0DBVfyjvh06QM9AGPI1IzBAEHGEjLoNF0AQcYSMug0XQJcvxOo6HC9Aly/E6jocL0CXL8TqOhwvQJcvxOo6HC9Aly/E6jocL0DeTVjt7Do7QC4YtEU/RDNAwVX8o74dOkA6TTyvK3Q2QJ4HMD3GwzhA4fMCBkmKOkA70iOMpwM3QAXw3/1VQDRAA6QykgVAOUAq9PKb1mI3QFZE9eI8DUJAX2HwQyhxQkBnjTmV+GA+QDJCyqcM7kFAzgCqt8tbNkB8K5kQ6kotQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAaXQHm1pDIUBLo1V968Y2QKYaDSVxdD9ANOt+Mad/REAkJR+zi5dAQM6VuFA/skJAEW2e1cnyQkDMhBI7c85CQHat8N68gkFAybvCwZNAPUC0jWfCWvdAQBfuYKxxZztAXzS6jRnRNEDHfHQ3EGE3QBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQBBxhIy6DRdAEHGEjLoNF0AQcYSMug0XQA==", + "dtype": "f8" + }, + "yaxis": "y" + }, + { + "name": "Fuel Power (DFCO)", + "type": "scatter", + "x": { + "bdata": 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"", + "zerolinecolor": "white" + } + }, + "shapedefaults": { + "line": { + "color": "#2a3f5f" + } + }, + "ternary": { + "aaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "baxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "caxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "title": { + "x": 0.05 + }, + "xaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + }, + "yaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + } + } + }, + "title": { + "text": "DFCO Fuel Use vs Cycle Segments" + }, + "xaxis": { + "anchor": "y", + "domain": [ + 0, + 1 + ], + "matches": "x2", + "showticklabels": false + }, + "xaxis2": { + "anchor": "y2", + "domain": [ + 0, + 1 + ], + "rangeslider": { + "visible": true + }, + "title": { + "text": "Time [s]" + } + }, + "yaxis": { + "anchor": "x", + "domain": [ + 0.46640000000000004, + 1 + ], + "title": { + "text": "Fuel Power [kW]" + } + }, + "yaxis2": { + "anchor": "x2", + "domain": [ + 0, + 0.3864 + ], + "title": { + "text": "Speed [m/s]" + } + } + } + } + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from plotly.subplots import make_subplots\n", + "\n", + "dfco_speed_threshold = 11.176\n", + "dfco_accel_threshold = -0.2\n", + "\n", + "time = df[\"cyc.time_seconds\"]\n", + "speed_target = df[\"cyc.speed_meters_per_second\"]\n", + "dt = time.diff().replace(0.0, float(\"nan\"))\n", + "accel_target = (speed_target.diff() / dt).fillna(0.0)\n", + "\n", + "dfco_eligible = (speed_target >= dfco_speed_threshold) & (accel_target <= dfco_accel_threshold)\n", + "starts = dfco_eligible & ~dfco_eligible.shift(1, fill_value=False)\n", + "ends = dfco_eligible & ~dfco_eligible.shift(-1, fill_value=False)\n", + "\n", + "fig = make_subplots(\n", + " rows=2,\n", + " cols=1,\n", + " shared_xaxes=True,\n", + " vertical_spacing=0.08,\n", + " row_heights=[0.58, 0.42],\n", + " subplot_titles=(\n", + " \"Fuel Converter Fuel Power: Baseline vs DFCO\",\n", + " \"Cycle Speed and Achieved Speed\",\n", + " ),\n", + ")\n", + "\n", + "fig.add_trace(\n", + " go.Scatter(\n", + " x=df[\"cyc.time_seconds\"],\n", + " y=df[\"veh.pt_type.Conv.fc.history.pwr_fuel_watts\"] / 1e3,\n", + " name=\"Fuel Power (Baseline)\",\n", + " ),\n", + " row=1,\n", + " col=1,\n", + ")\n", + "fig.add_trace(\n", + " go.Scatter(\n", + " x=df_dfco[\"cyc.time_seconds\"],\n", + " y=df_dfco[\"veh.pt_type.Conv.fc.history.pwr_fuel_watts\"] / 1e3,\n", + " name=\"Fuel Power (DFCO)\",\n", + " ),\n", + " row=1,\n", + " col=1,\n", + ")\n", + "\n", + "fig.add_trace(\n", + " go.Scatter(\n", + " x=df[\"cyc.time_seconds\"],\n", + " y=df[\"cyc.speed_meters_per_second\"],\n", + " name=\"Target Speed\",\n", + " line={\"dash\": \"dash\", \"width\": 3},\n", + " ),\n", + " row=2,\n", + " col=1,\n", + ")\n", + "fig.add_trace(\n", + " go.Scatter(\n", + " x=df[\"cyc.time_seconds\"],\n", + " y=df[\"veh.history.speed_ach_meters_per_second\"],\n", + " name=\"Achieved Speed (Baseline)\",\n", + " ),\n", + " row=2,\n", + " col=1,\n", + ")\n", + "fig.add_trace(\n", + " go.Scatter(\n", + " x=df_dfco[\"cyc.time_seconds\"],\n", + " y=df_dfco[\"veh.history.speed_ach_meters_per_second\"],\n", + " name=\"Achieved Speed (DFCO)\",\n", + " ),\n", + " row=2,\n", + " col=1,\n", + ")\n", + "\n", + "for x0, x1 in zip(time[starts], time[ends]):\n", + " fig.add_vrect(\n", + " x0=x0,\n", + " x1=x1,\n", + " fillcolor=\"rgba(60, 179, 113, 0.18)\",\n", + " line_width=0,\n", + " layer=\"below\",\n", + " row=\"all\",\n", + " col=1,\n", + " )\n", + "\n", + "fig.update_layout(\n", + " title=\"DFCO Fuel Use vs Cycle Segments\",\n", + " hovermode=\"x unified\",\n", + ")\n", + "fig.update_yaxes(title_text=\"Fuel Power [kW]\", row=1, col=1)\n", + "fig.update_yaxes(title_text=\"Speed [m/s]\", row=2, col=1)\n", + "fig.update_xaxes(title_text=\"Time [s]\", row=2, col=1, rangeslider_visible=True)\n", + "\n", + "fig.show()" + ] } ], "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, "language_info": { - "name": "python" + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.14.6" } }, "nbformat": 4, diff --git a/docs/content/user-guide/running-simulations/advanced/start-stop.ipynb b/docs/content/user-guide/running-simulations/advanced/start-stop.ipynb index 5256a4e89..a5c3e3575 100644 --- a/docs/content/user-guide/running-simulations/advanced/start-stop.ipynb +++ b/docs/content/user-guide/running-simulations/advanced/start-stop.ipynb @@ -34,7 +34,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 13, "id": "824990a8", "metadata": {}, "outputs": [], @@ -62,7 +62,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 14, "id": "ca749cc4", "metadata": {}, "outputs": [], @@ -114,7 +114,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 15, "id": "7b704f9f", "metadata": {}, "outputs": [ @@ -167,7 +167,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 16, "id": "e85775f1", "metadata": {}, "outputs": [], @@ -386,7 +386,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 17, "id": "ccc9e0be", "metadata": {}, "outputs": [ @@ -437,20 +437,20 @@ "source": [ "## Visualizing Fuel Converter Behavior\n", "\n", - "The first plot compares fuel-converter fuel power across the three runs.\n", + "The plot below combines fuel power and cycle speed in one shared-time figure.\n", "\n", "What to look for:\n", "\n", - "- During stopped periods, baseline typically retains nonzero idle fuel power.\n", - "- Start-stop and micro-hybrid runs should show lower fuel power during those same periods.\n", - "- Similar traces during moving periods indicate changes are concentrated around idle behavior, which is expected for start-stop systems.\n", + "- Gray shaded windows mark near-stopped segments of the cycle.\n", + "- In those windows, start-stop and micro-hybrid traces should show lower fuel power than baseline.\n", + "- During moving segments, traces should be closer, indicating that differences are concentrated around idle-related operation.\n", "\n", - "The second plot checks target vs achieved speed to confirm that fuel-use differences are not caused by failing to follow the cycle." + "Use the time-range slider to zoom into specific stops and compare fuel-use behavior against those cycle segments." ] }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 18, "id": "b414f3e5", "metadata": {}, "outputs": [ @@ -462,876 +462,672 @@ }, "data": [ { - "name": "Conventional", + "name": "Fuel Power (Baseline)", "type": "scatter", "x": { "bdata": 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", 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+ { + "fillcolor": "rgba(128, 128, 128, 0.16)", + "layer": "below", + "line": { + "width": 0 + }, + "type": "rect", + "x0": 1367, + "x1": 1369, + "xref": "x", + "y0": 0, + "y1": 1, + "yref": "y domain" + }, + { + "fillcolor": "rgba(128, 128, 128, 0.16)", + "layer": "below", + "line": { + "width": 0 + }, + "type": "rect", + "x0": 1367, + "x1": 1369, + "xref": "x2", + "y0": 0, + "y1": 1, + "yref": "y2 domain" + } + ], "template": { "data": { "bar": [ @@ -2109,14 +1905,46 @@ } }, "title": { - "text": "Target vs Achieved Speed" + "text": "Start-Stop Fuel Use vs Cycle Segments" }, "xaxis": { + "anchor": "y", + "domain": [ + 0, + 1 + ], + "matches": "x2", + "showticklabels": false + }, + "xaxis2": { + "anchor": "y2", + "domain": [ + 0, + 1 + ], + "rangeslider": { + "visible": true + }, "title": { "text": "Time [s]" } }, "yaxis": { + "anchor": "x", + "domain": [ + 0.46640000000000004, + 1 + ], + "title": { + "text": "Fuel Power [kW]" + } + }, + "yaxis2": { + "anchor": "x2", + "domain": [ + 0, + 0.3864 + ], "title": { "text": "Speed [m/s]" } @@ -2129,50 +1957,112 @@ } ], "source": [ - "fig = go.Figure()\n", + "from plotly.subplots import make_subplots\n", + "\n", + "time = df[\"cyc.time_seconds\"]\n", + "speed_target = df[\"cyc.speed_meters_per_second\"]\n", + "stopped_mask = speed_target <= 0.5\n", + "starts = stopped_mask & ~stopped_mask.shift(1, fill_value=False)\n", + "ends = stopped_mask & ~stopped_mask.shift(-1, fill_value=False)\n", + "\n", + "fig = make_subplots(\n", + " rows=2,\n", + " cols=1,\n", + " shared_xaxes=True,\n", + " vertical_spacing=0.08,\n", + " row_heights=[0.58, 0.42],\n", + " subplot_titles=(\n", + " \"Fuel Converter Fuel Power Comparison\",\n", + " \"Cycle Speed and Achieved Speed\",\n", + " ),\n", + ")\n", + "\n", + "fig.add_trace(\n", + " go.Scatter(\n", + " x=df[\"cyc.time_seconds\"],\n", + " y=df[\"veh.pt_type.Conv.fc.history.pwr_fuel_watts\"] / 1e3,\n", + " name=\"Fuel Power (Baseline)\",\n", + " ),\n", + " row=1,\n", + " col=1,\n", + ")\n", + "fig.add_trace(\n", + " go.Scatter(\n", + " x=df_ss[\"cyc.time_seconds\"],\n", + " y=df_ss[\"veh.pt_type.Conv.fc.history.pwr_fuel_watts\"] / 1e3,\n", + " name=\"Fuel Power (Start-Stop)\",\n", + " ),\n", + " row=1,\n", + " col=1,\n", + ")\n", + "fig.add_trace(\n", + " go.Scatter(\n", + " x=df_uhev[\"cyc.time_seconds\"],\n", + " y=df_uhev[\"veh.pt_type.HEV.fc.history.pwr_fuel_watts\"] / 1e3,\n", + " name=\"Fuel Power (Micro-Hybrid)\",\n", + " ),\n", + " row=1,\n", + " col=1,\n", + ")\n", + "\n", + "fig.add_trace(\n", + " go.Scatter(\n", + " x=df[\"cyc.time_seconds\"],\n", + " y=df[\"cyc.speed_meters_per_second\"],\n", + " name=\"Target Speed\",\n", + " line={\"dash\": \"dash\", \"width\": 3},\n", + " ),\n", + " row=2,\n", + " col=1,\n", + ")\n", + "fig.add_trace(\n", + " go.Scatter(\n", + " x=df[\"cyc.time_seconds\"],\n", + " y=df[\"veh.history.speed_ach_meters_per_second\"],\n", + " name=\"Achieved Speed (Baseline)\",\n", + " ),\n", + " row=2,\n", + " col=1,\n", + ")\n", + "fig.add_trace(\n", + " go.Scatter(\n", + " x=df_ss[\"cyc.time_seconds\"],\n", + " y=df_ss[\"veh.history.speed_ach_meters_per_second\"],\n", + " name=\"Achieved Speed (Start-Stop)\",\n", + " ),\n", + " row=2,\n", + " col=1,\n", + ")\n", + "fig.add_trace(\n", + " go.Scatter(\n", + " x=df_uhev[\"cyc.time_seconds\"],\n", + " y=df_uhev[\"veh.history.speed_ach_meters_per_second\"],\n", + " name=\"Achieved Speed (Micro-Hybrid)\",\n", + " ),\n", + " row=2,\n", + " col=1,\n", + ")\n", "\n", - "fig.add_trace(go.Scatter(\n", - " x=df[\"cyc.time_seconds\"],\n", - " y=df[\"veh.pt_type.Conv.fc.history.pwr_fuel_watts\"] / 1e3,\n", - " name=\"Conventional\",\n", - "))\n", - "fig.add_trace(go.Scatter(\n", - " x=df_ss[\"cyc.time_seconds\"],\n", - " y=df_ss[\"veh.pt_type.Conv.fc.history.pwr_fuel_watts\"] / 1e3,\n", - " name=\"Conventional + Stop/Start\",\n", - "))\n", - "fig.add_trace(go.Scatter(\n", - " x=df_uhev[\"cyc.time_seconds\"],\n", - " y=df_uhev[\"veh.pt_type.HEV.fc.history.pwr_fuel_watts\"] / 1e3,\n", - " name=\"Micro-Hybrid\",\n", - "))\n", + "for x0, x1 in zip(time[starts], time[ends]):\n", + " fig.add_vrect(\n", + " x0=x0,\n", + " x1=x1,\n", + " fillcolor=\"rgba(128, 128, 128, 0.16)\",\n", + " line_width=0,\n", + " layer=\"below\",\n", + " row=\"all\",\n", + " col=1,\n", + " )\n", "\n", "fig.update_layout(\n", - " title=\"Fuel Converter Fuel Power Comparison\",\n", - " xaxis_title=\"Time [s]\",\n", - " yaxis_title=\"Fuel Power [kW]\",\n", + " title=\"Start-Stop Fuel Use vs Cycle Segments\",\n", " hovermode=\"x unified\",\n", ")\n", - "fig.show()\n", + "fig.update_yaxes(title_text=\"Fuel Power [kW]\", row=1, col=1)\n", + "fig.update_yaxes(title_text=\"Speed [m/s]\", row=2, col=1)\n", + "fig.update_xaxes(title_text=\"Time [s]\", row=2, col=1, rangeslider_visible=True)\n", "\n", - "fig_speed = go.Figure()\n", - "fig_speed.add_trace(go.Scatter(\n", - " x=df[\"cyc.time_seconds\"],\n", - " y=df[\"cyc.speed_meters_per_second\"],\n", - " name=\"Target\",\n", - " line={\"dash\": \"dash\", \"width\": 3},\n", - "))\n", - "fig_speed.add_trace(go.Scatter(\n", - " x=df[\"cyc.time_seconds\"],\n", - " y=df[\"veh.history.speed_ach_meters_per_second\"],\n", - " name=\"Achieved\",\n", - "))\n", - "fig_speed.update_layout(\n", - " title=\"Target vs Achieved Speed\",\n", - " xaxis_title=\"Time [s]\",\n", - " yaxis_title=\"Speed [m/s]\",\n", - ")\n", - "fig_speed.show()" + "fig.show()" ] } ], From 5ad5119386908b5160aef7b84859b208a5989b88 Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Tue, 14 Jul 2026 19:22:08 -0600 Subject: [PATCH 30/67] cavs demo --- .../running-simulations/advanced/cavs.ipynb | 1821 ++++++++++++++++- 1 file changed, 1819 insertions(+), 2 deletions(-) diff --git a/docs/content/user-guide/running-simulations/advanced/cavs.ipynb b/docs/content/user-guide/running-simulations/advanced/cavs.ipynb index 3d94154d3..8a92ccd22 100644 --- a/docs/content/user-guide/running-simulations/advanced/cavs.ipynb +++ b/docs/content/user-guide/running-simulations/advanced/cavs.ipynb @@ -12,12 +12,1829 @@ "cell_type": "markdown", "id": "a38a5c87", "metadata": {}, - "source": [] + "source": [ + "This notebook demonstrates how FASTSim can model longitudinal CAV behaviors by modifying the drive-cycle trace before running energy simulation.\n", + "\n", + "In FASTSim, CAV behavior in this context is represented through maneuver logic that adjusts vehicle speed trajectories, including:\n", + "\n", + "- eco-cruise with IDM-style speed regulation,\n", + "- predictive coasting with configurable braking and look-ahead settings,\n", + "- combined cruise + coast operation.\n", + "\n", + "This demo evaluates four scenarios on the same starting cycle and vehicle:\n", + "\n", + "1. Baseline (no CAV maneuvering).\n", + "2. Eco-cruise (IDM).\n", + "3. Advanced coasting.\n", + "4. Eco-cruise + coasting together.\n", + "\n", + "The goal is to compare how these controls reshape speed and fuel use, and to inspect which cycle segments drive the differences." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "9cc1a8ba", + "metadata": {}, + "outputs": [], + "source": [ + "import fastsim\n", + "import numpy as np\n", + "import pandas as pd\n", + "import plotly.graph_objects as go\n", + "from plotly.subplots import make_subplots\n", + "\n", + "METERS_PER_MILE = 1609.34\n", + "MJ_PER_GGE = 125.0" + ] + }, + { + "cell_type": "markdown", + "id": "7b711570", + "metadata": {}, + "source": [ + "## Modeling Approach\n", + "\n", + "All scenarios start from the same vehicle and base cycle. The only differences are maneuver controls applied through `Maneuver` settings.\n", + "\n", + "FASTSim provides these longitudinal-control levers for this demo:\n", + "\n", + "- IDM parameters (`idm_*`) to regulate target-following behavior and smooth speed response,\n", + "- coasting parameters (`coast_*`) to trigger earlier/predictive deceleration behavior,\n", + "- combined use of IDM and coasting in a single maneuver pipeline.\n", + "\n", + "After maneuvers are applied, each modified cycle is simulated with `SimDrive` and compared on fuel and speed outcomes." + ] + }, + { + "cell_type": "markdown", + "id": "4651a890", + "metadata": {}, + "source": [ + "## Scenario Setup\n", + "\n", + "Load one vehicle and one base cycle, then create an extended cycle so maneuver effects are easier to observe over longer segments." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "e413b64c", + "metadata": {}, + "outputs": [], + "source": [ + "veh_template = fastsim.Vehicle.from_resource(\"2012_Ford_Fusion.yaml\")\n", + "\n", + "cyc_base = fastsim.Cycle.from_resource(\"udds.csv\")\n", + "ending_idle_s = cyc_base.ending_idle_time_s()\n", + "\n", + "# Extend cycle duration so cruise/coast behavior is easier to compare.\n", + "cyc_seed = cyc_base.extend_time(absolute_time_s=180.0, time_fraction=0.28)\n", + "desired_speed_mps = cyc_seed.average_speed_m_per_s(while_moving=True)" + ] + }, + { + "cell_type": "markdown", + "id": "4f944eb9", + "metadata": {}, + "source": [ + "## Run Four CAV Scenarios\n", + "\n", + "The helper below applies maneuver settings and runs FASTSim for each scenario: baseline, eco-cruise only, coasting only, and combined eco-cruise + coasting." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "cecdd7b1", + "metadata": {}, + "outputs": [], + "source": [ + "def run_cav_scenario(label, enable_idm=False, enable_coast=False):\n", + " veh = veh_template.copy()\n", + "\n", + " if not enable_idm and not enable_coast:\n", + " cyc_run = cyc_seed.trim_ending_idle(idle_to_keep_s=ending_idle_s)\n", + " man = None\n", + " else:\n", + " man = fastsim.Maneuver.create_from(cyc_seed, veh.copy())\n", + " d = man.to_pydict()\n", + "\n", + " if enable_coast:\n", + " d[\"coast_allow\"] = True\n", + " d[\"coast_brake_start_speed_meters_per_second\"] = 8.9408\n", + " d[\"coast_brake_accel_meters_per_second_squared\"] = -2.5\n", + " d[\"favor_grade_accuracy\"] = True\n", + " d[\"coast_allow_passing\"] = True\n", + " d[\"coast_max_speed_meters_per_second\"] = 33.5280\n", + " d[\"coast_time_horizon_for_adjustment_seconds\"] = 120.0\n", + "\n", + " if enable_idm:\n", + " d[\"idm_allow\"] = True\n", + " d[\"idm_desired_speed_meters_per_second\"] = desired_speed_mps\n", + " d[\"idm_headway_seconds\"] = 1.0\n", + " d[\"idm_minimum_gap_meters\"] = 1.0\n", + " d[\"idm_delta\"] = 4.0\n", + " d[\"idm_acceleration_meters_per_second_squared\"] = 1.0\n", + " d[\"idm_deceleration_meters_per_second_squared\"] = 2.5\n", + "\n", + " man = fastsim.Maneuver.from_pydict(d)\n", + " cyc_run = man.apply_maneuvers().trim_ending_idle(idle_to_keep_s=ending_idle_s)\n", + "\n", + " sd = fastsim.SimDrive(veh, cyc_run)\n", + " sd.walk()\n", + " df = sd.to_dataframe(pandas=True)\n", + "\n", + " cyc_dict = cyc_run.to_pydict()\n", + " dist_m = cyc_dict[\"dist_meters\"][-1]\n", + " dist_mi = dist_m / METERS_PER_MILE\n", + " fuel_mj = df[\"veh.pt_type.Conv.fc.history.energy_fuel_joules\"].iloc[-1] / 1e6\n", + " fuel_gal = fuel_mj / MJ_PER_GGE\n", + " mpg = dist_mi / fuel_gal\n", + "\n", + " return {\n", + " \"label\": label,\n", + " \"maneuver\": man,\n", + " \"cycle\": cyc_run,\n", + " \"df\": df,\n", + " \"distance_mi\": dist_mi,\n", + " \"fuel_mj\": fuel_mj,\n", + " \"mpg\": mpg,\n", + " }\n", + "\n", + "results = {\n", + " \"Baseline\": run_cav_scenario(\"Baseline\", enable_idm=False, enable_coast=False),\n", + " \"Eco-Cruise (IDM)\": run_cav_scenario(\"Eco-Cruise (IDM)\", enable_idm=True, enable_coast=False),\n", + " \"Advanced Coasting\": run_cav_scenario(\"Advanced Coasting\", enable_idm=False, enable_coast=True),\n", + " \"Cruise + Coast\": run_cav_scenario(\"Cruise + Coast\", enable_idm=True, enable_coast=True),\n", + "}" + ] + }, + { + "cell_type": "markdown", + "id": "1e76c1f1", + "metadata": {}, + "source": [ + "## Fuel Economy Comparison\n", + "\n", + "This table compares each scenario's distance-normalized fuel use. Baseline is included to make relative gains easy to read." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "9082b350", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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ScenarioDistance [mi]Fuel [MJ]Fuel Economy [mpg]Fuel Reduction vs Baseline [%]
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1Eco-Cruise (IDM)7.45121.09444.1519.77
2Advanced Coasting7.45121.78942.7417.13
3Cruise + Coast7.45120.55945.3021.80
\n", + "
" + ], + "text/plain": [ + " Scenario Distance [mi] Fuel [MJ] Fuel Economy [mpg] \\\n", + "0 Baseline 7.451 26.292 35.42 \n", + "1 Eco-Cruise (IDM) 7.451 21.094 44.15 \n", + "2 Advanced Coasting 7.451 21.789 42.74 \n", + "3 Cruise + Coast 7.451 20.559 45.30 \n", + "\n", + " Fuel Reduction vs Baseline [%] \n", + "0 0.00 \n", + "1 19.77 \n", + "2 17.13 \n", + "3 21.80 " + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "summary_rows = []\n", + "baseline_fuel_mj = results[\"Baseline\"][\"fuel_mj\"]\n", + "\n", + "for name, r in results.items():\n", + " fuel_reduction_pct = (baseline_fuel_mj - r[\"fuel_mj\"]) * 100.0 / baseline_fuel_mj\n", + " summary_rows.append({\n", + " \"Scenario\": name,\n", + " \"Distance [mi]\": round(r[\"distance_mi\"], 3),\n", + " \"Fuel [MJ]\": round(r[\"fuel_mj\"], 3),\n", + " \"Fuel Economy [mpg]\": round(r[\"mpg\"], 2),\n", + " \"Fuel Reduction vs Baseline [%]\": round(fuel_reduction_pct, 2),\n", + " })\n", + "\n", + "pd.DataFrame(summary_rows)" + ] + }, + { + "cell_type": "markdown", + "id": "1bb419f0", + "metadata": {}, + "source": [ + "## Segment-Level Comparison\n", + "\n", + "The figure below combines fuel power and speed traces in one shared-time layout so you can inspect where each strategy diverges.\n", + "\n", + "How to read it:\n", + "\n", + "- Top panel: fuel power for all four scenarios.\n", + "- Bottom panel: target speed and achieved speeds.\n", + "- Green shaded windows: segments where the combined Cruise + Coast maneuver reports coasting active.\n", + "\n", + "Use the range slider to zoom into any event and compare strategy behavior at that segment." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "a732a9a1", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "name": "Fuel Power (Baseline)", + "type": "scatter", + "x": { + "bdata": 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", + "dtype": "f8" + }, + "yaxis": "y" + }, + { + "name": "Fuel Power (Eco-Cruise (IDM))", + "type": "scatter", + "x": { + "bdata": 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", 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", + "dtype": "f8" + }, + "yaxis": "y" + }, + { + "name": "Fuel Power (Cruise + Coast)", + "type": "scatter", + "x": { + "bdata": 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"title": { + "text": "CAV Scenario Comparison: Fuel Use and Speed by Segment" + }, + "xaxis": { + "anchor": "y", + "domain": [ + 0, + 1 + ], + "matches": "x2", + "showticklabels": false + }, + "xaxis2": { + "anchor": "y2", + "domain": [ + 0, + 1 + ], + "rangeslider": { + "visible": true + }, + "title": { + "text": "Time [s]" + } + }, + "yaxis": { + "anchor": "x", + "domain": [ + 0.46640000000000004, + 1 + ], + "title": { + "text": "Fuel Power [kW]" + } + }, + "yaxis2": { + "anchor": "x2", + "domain": [ + 0, + 0.3864 + ], + "title": { + "text": "Speed [m/s]" + } + } + } + } + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig = make_subplots(\n", + " rows=2,\n", + " cols=1,\n", + " shared_xaxes=True,\n", + " vertical_spacing=0.08,\n", + " row_heights=[0.58, 0.42],\n", + " subplot_titles=(\n", + " \"Fuel Converter Fuel Power by Scenario\",\n", + " \"Target and Achieved Speed by Scenario\",\n", + " ),\n", + ")\n", + "\n", + "for name, r in results.items():\n", + " df_s = r[\"df\"]\n", + " fig.add_trace(\n", + " go.Scatter(\n", + " x=df_s[\"cyc.time_seconds\"],\n", + " y=df_s[\"veh.pt_type.Conv.fc.history.pwr_fuel_watts\"] / 1e3,\n", + " name=f\"Fuel Power ({name})\",\n", + " ),\n", + " row=1,\n", + " col=1,\n", + " )\n", + "\n", + "baseline_df = results[\"Baseline\"][\"df\"]\n", + "fig.add_trace(\n", + " go.Scatter(\n", + " x=baseline_df[\"cyc.time_seconds\"],\n", + " y=baseline_df[\"cyc.speed_meters_per_second\"],\n", + " name=\"Target Speed\",\n", + " line={\"dash\": \"dash\", \"width\": 3},\n", + " ),\n", + " row=2,\n", + " col=1,\n", + ")\n", + "\n", + "for name, r in results.items():\n", + " df_s = r[\"df\"]\n", + " fig.add_trace(\n", + " go.Scatter(\n", + " x=df_s[\"cyc.time_seconds\"],\n", + " y=df_s[\"veh.history.speed_ach_meters_per_second\"],\n", + " name=f\"Achieved Speed ({name})\",\n", + " ),\n", + " row=2,\n", + " col=1,\n", + " )\n", + "\n", + "combined = results[\"Cruise + Coast\"]\n", + "if combined[\"maneuver\"] is not None:\n", + " coast_raw = np.array(combined[\"maneuver\"].is_coasting(), dtype=float)\n", + " df_combined = combined[\"df\"]\n", + " t_combined = np.array(df_combined[\"cyc.time_seconds\"], dtype=float)\n", + " d_combined = np.array(df_combined[\"cyc.dist_meters\"], dtype=float)\n", + "\n", + " cyc_combined = combined[\"cycle\"].to_pydict()\n", + " d_maneuver = np.array(cyc_combined[\"dist_meters\"], dtype=float)\n", + "\n", + " n = min(len(d_maneuver), len(coast_raw))\n", + " if n > 1:\n", + " coast_interp = np.interp(d_combined, d_maneuver[:n], coast_raw[:n])\n", + " coast_mask = pd.Series(coast_interp >= 0.5)\n", + " starts = coast_mask & ~coast_mask.shift(1, fill_value=False)\n", + " ends = coast_mask & ~coast_mask.shift(-1, fill_value=False)\n", + "\n", + " for x0, x1 in zip(t_combined[starts.values], t_combined[ends.values]):\n", + " fig.add_vrect(\n", + " x0=x0,\n", + " x1=x1,\n", + " fillcolor=\"rgba(46, 204, 113, 0.16)\",\n", + " line_width=0,\n", + " layer=\"below\",\n", + " row=\"all\",\n", + " col=1,\n", + " )\n", + "\n", + "fig.update_layout(\n", + " title=\"CAV Scenario Comparison: Fuel Use and Speed by Segment\",\n", + " hovermode=\"x unified\",\n", + ")\n", + "fig.update_yaxes(title_text=\"Fuel Power [kW]\", row=1, col=1)\n", + "fig.update_yaxes(title_text=\"Speed [m/s]\", row=2, col=1)\n", + "fig.update_xaxes(title_text=\"Time [s]\", row=2, col=1, rangeslider_visible=True)\n", + "\n", + "fig.show()" + ] } ], "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, "language_info": { - "name": "python" + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.14.6" } }, "nbformat": 4, From b02eaf5725450355ef3da394fd1c86b1174d8434 Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Tue, 14 Jul 2026 20:16:52 -0600 Subject: [PATCH 31/67] advanced demos complete --- .../running-simulations/advanced/cavs.ipynb | 32 +- .../running-simulations/advanced/dfco.ipynb | 24 +- .../advanced/start-stop.ipynb | 26 +- .../advanced/thermal-simulations.ipynb | 2639 ++++++++++++++++- fastsim-core/src/vehicle/hev.rs | 44 +- 5 files changed, 2730 insertions(+), 35 deletions(-) diff --git a/docs/content/user-guide/running-simulations/advanced/cavs.ipynb b/docs/content/user-guide/running-simulations/advanced/cavs.ipynb index 8a92ccd22..2748a22f5 100644 --- a/docs/content/user-guide/running-simulations/advanced/cavs.ipynb +++ b/docs/content/user-guide/running-simulations/advanced/cavs.ipynb @@ -307,7 +307,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 15, "id": "a732a9a1", "metadata": {}, "outputs": [ @@ -478,7 +478,18 @@ "yref": "paper" } ], + "height": 900, "hovermode": "x unified", + "legend": { + "orientation": "h", + "x": 0, + "xanchor": "left", + "y": 1.06, + "yanchor": "bottom" + }, + "margin": { + "t": 180 + }, "shapes": [ { "fillcolor": "rgba(46, 204, 113, 0.16)", @@ -1678,7 +1689,11 @@ } }, "title": { - "text": "CAV Scenario Comparison: Fuel Use and Speed by Segment" + "text": "CAV Scenario Comparison: Fuel Use and Speed by Segment", + "x": 0.5, + "xanchor": "center", + "y": 0.98, + "yanchor": "top" }, "xaxis": { "anchor": "y", @@ -1807,7 +1822,10 @@ " )\n", "\n", "fig.update_layout(\n", - " title=\"CAV Scenario Comparison: Fuel Use and Speed by Segment\",\n", + " height=900,\n", + " title={\"text\": \"CAV Scenario Comparison: Fuel Use and Speed by Segment\", \"x\": 0.5, \"xanchor\": \"center\", \"y\": 0.98, \"yanchor\": \"top\"},\n", + " legend={\"orientation\": \"h\", \"yanchor\": \"bottom\", \"y\": 1.06, \"xanchor\": \"left\", \"x\": 0.0},\n", + " margin={\"t\": 180},\n", " hovermode=\"x unified\",\n", ")\n", "fig.update_yaxes(title_text=\"Fuel Power [kW]\", row=1, col=1)\n", @@ -1816,6 +1834,14 @@ "\n", "fig.show()" ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2879fb22", + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { diff --git a/docs/content/user-guide/running-simulations/advanced/dfco.ipynb b/docs/content/user-guide/running-simulations/advanced/dfco.ipynb index fee64da55..ccfc6db7f 100644 --- a/docs/content/user-guide/running-simulations/advanced/dfco.ipynb +++ b/docs/content/user-guide/running-simulations/advanced/dfco.ipynb @@ -151,7 +151,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 17, "id": "39862094", "metadata": {}, "outputs": [ @@ -266,7 +266,18 @@ "yref": "paper" } ], + "height": 900, "hovermode": "x unified", + "legend": { + "orientation": "h", + "x": 0, + "xanchor": "left", + "y": 1.06, + "yanchor": "bottom" + }, + "margin": { + "t": 140 + }, "shapes": [ { "fillcolor": "rgba(60, 179, 113, 0.18)", @@ -1998,7 +2009,11 @@ } }, "title": { - "text": "DFCO Fuel Use vs Cycle Segments" + "text": "DFCO Fuel Use vs Cycle Segments", + "x": 0.5, + "xanchor": "center", + "y": 0.98, + "yanchor": "top" }, "xaxis": { "anchor": "y", @@ -2136,7 +2151,10 @@ " )\n", "\n", "fig.update_layout(\n", - " title=\"DFCO Fuel Use vs Cycle Segments\",\n", + " height=900,\n", + " title={\"text\": \"DFCO Fuel Use vs Cycle Segments\", \"x\": 0.5, \"xanchor\": \"center\", \"y\": 0.98, \"yanchor\": \"top\"},\n", + " legend={\"orientation\": \"h\", \"yanchor\": \"bottom\", \"y\": 1.06, \"xanchor\": \"left\", \"x\": 0.0},\n", + " margin={\"t\": 140},\n", " hovermode=\"x unified\",\n", ")\n", "fig.update_yaxes(title_text=\"Fuel Power [kW]\", row=1, col=1)\n", diff --git a/docs/content/user-guide/running-simulations/advanced/start-stop.ipynb b/docs/content/user-guide/running-simulations/advanced/start-stop.ipynb index a5c3e3575..e80180018 100644 --- a/docs/content/user-guide/running-simulations/advanced/start-stop.ipynb +++ b/docs/content/user-guide/running-simulations/advanced/start-stop.ipynb @@ -167,7 +167,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 19, "id": "e85775f1", "metadata": {}, "outputs": [], @@ -450,7 +450,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 25, "id": "b414f3e5", "metadata": {}, "outputs": [ @@ -593,7 +593,18 @@ "yref": "paper" } ], + "height": 900, "hovermode": "x unified", + "legend": { + "orientation": "h", + "x": 0, + "xanchor": "left", + "y": 1.06, + "yanchor": "bottom" + }, + "margin": { + "t": 160 + }, "shapes": [ { "fillcolor": "rgba(128, 128, 128, 0.16)", @@ -1905,7 +1916,11 @@ } }, "title": { - "text": "Start-Stop Fuel Use vs Cycle Segments" + "text": "Start-Stop Fuel Use vs Cycle Segments", + "x": 0.5, + "xanchor": "center", + "y": 0.98, + "yanchor": "top" }, "xaxis": { "anchor": "y", @@ -2055,7 +2070,10 @@ " )\n", "\n", "fig.update_layout(\n", - " title=\"Start-Stop Fuel Use vs Cycle Segments\",\n", + " height=900,\n", + " title={\"text\": \"Start-Stop Fuel Use vs Cycle Segments\", \"x\": 0.5, \"xanchor\": \"center\", \"y\": 0.98, \"yanchor\": \"top\"},\n", + " legend={\"orientation\": \"h\", \"yanchor\": \"bottom\", \"y\": 1.06, \"xanchor\": \"left\", \"x\": 0.0},\n", + " margin={\"t\": 160},\n", " hovermode=\"x unified\",\n", ")\n", "fig.update_yaxes(title_text=\"Fuel Power [kW]\", row=1, col=1)\n", diff --git a/docs/content/user-guide/running-simulations/advanced/thermal-simulations.ipynb b/docs/content/user-guide/running-simulations/advanced/thermal-simulations.ipynb index 53cb34a47..4979cc0b8 100644 --- a/docs/content/user-guide/running-simulations/advanced/thermal-simulations.ipynb +++ b/docs/content/user-guide/running-simulations/advanced/thermal-simulations.ipynb @@ -5,19 +5,2652 @@ "id": "5de1dc15", "metadata": {}, "source": [ - "# Running Thermal Simulations" + "# Running Thermal Simulations\n", + "\n", + "Thermal behavior in FASTSim depends on both drive-cycle conditions and component thermal state at simulation start.\n", + "\n", + "This demo uses one thermal HEV to show how ambient conditions and initial component temperatures influence fuel use and thermal trajectories over the same drive cycle." ] }, { "cell_type": "markdown", "id": "abe359ed", "metadata": {}, - "source": [] + "source": [ + "This demo compares three scenarios on the same UDDS cycle:\n", + "\n", + "1. Cold soak with cold ambient.\n", + "2. Warm component start with cold ambient.\n", + "3. Warm component start with warm ambient.\n", + "\n", + "Across these runs, FASTSim thermal behavior is driven by:\n", + "\n", + "- cycle ambient air temperature (`cyc.temp_amb_air_kelvin`),\n", + "- initial cabin temperature,\n", + "- initial battery (RES) temperature,\n", + "- initial fuel-converter temperature.\n", + "\n", + "The goal is to isolate how initial thermal state and ambient conditions change thermal transients and fuel consumption.\n", + "\n", + "Note: this demo does not cover every thermal feature across all powertrains. For example, BEV-specific HVAC and BEV-only thermal behavior are not fully represented by a single HEV model." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "237b1770", + "metadata": {}, + "outputs": [], + "source": [ + "import fastsim\n", + "import pandas as pd\n", + "import plotly.graph_objects as go\n", + "from plotly.subplots import make_subplots\n", + "\n", + "# Unit conversions used for fuel-economy and temperature reporting.\n", + "METERS_PER_MILE = 1609.34\n", + "MJ_PER_GGE = 125.0\n", + "KELVIN_OFFSET = 273.15" + ] + }, + { + "cell_type": "markdown", + "id": "3e5ce903", + "metadata": {}, + "source": [ + "## Define Thermal Scenarios\n", + "\n", + "All scenarios use the same HEV and cycle. Only ambient and initial temperatures change.\n", + "\n", + "Scenarios:\n", + "\n", + "1. Cold soak, cold ambient.\n", + "2. Warm start, cold ambient.\n", + "3. Warm start, warm ambient." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "7f16c182", + "metadata": {}, + "outputs": [], + "source": [ + "scenario_temps_c = {\n", + " # Cold soak case: all components start near ambient.\n", + " \"Cold Soak / Cold Ambient\": {\n", + " \"temp_amb_c\": -6.7,\n", + " \"temp_cabin_c\": -6.7,\n", + " \"temp_res_c\": -6.7,\n", + " \"temp_fc_c\": -6.7,\n", + " },\n", + " # Warm cabin/battery and hot fuel converter in cold air.\n", + " \"Warm Start / Cold Ambient\": {\n", + " \"temp_amb_c\": -6.7,\n", + " \"temp_cabin_c\": 22.0,\n", + " \"temp_res_c\": 22.0,\n", + " \"temp_fc_c\": 70.0,\n", + " },\n", + " # Warm start with warm ambient to contrast cold-weather behavior.\n", + " \"Warm Start / Warm Ambient\": {\n", + " \"temp_amb_c\": 38.0,\n", + " \"temp_cabin_c\": 45.0,\n", + " \"temp_res_c\": 45.0,\n", + " \"temp_fc_c\": 45.0,\n", + " },\n", + "}\n", + "\n", + "def c_to_k(temp_c):\n", + " # FASTSim thermal states are specified in kelvin.\n", + " return temp_c + KELVIN_OFFSET" + ] + }, + { + "cell_type": "markdown", + "id": "a427b8a8", + "metadata": {}, + "source": [ + "## Apply Initial Temperatures and Run Simulations\n", + "\n", + "The helper below edits the thermal HEV state before simulation by writing temperature values into the vehicle dictionary and ambient values into the cycle dictionary." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "bc3d2473", + "metadata": {}, + "outputs": [], + "source": [ + "THERMAL_HEV_RESOURCE = \"2021_Hyundai_Sonata_Hybrid_Blue_thrml.yaml\"\n", + "\n", + "# Dataframe columns used for summary metrics and plots.\n", + "CABIN_TEMP_COL = \"veh.cabin.LumpedCabin.history.temperature_kelvin\"\n", + "RES_TEMP_COL = \"veh.pt_type.HEV.res.thrml.RESLumpedThermal.history.temperature_kelvin\"\n", + "FC_TEMP_COL = \"veh.pt_type.HEV.fc.thrml.FuelConverterThermal.history.temperature_kelvin\"\n", + "AMBIENT_TEMP_COL = \"cyc.temp_amb_air_kelvin\"\n", + "FUEL_PWR_COL = \"veh.pt_type.HEV.fc.history.pwr_fuel_watts\"\n", + "FUEL_ENERGY_COL = \"veh.pt_type.HEV.fc.history.energy_fuel_joules\"\n", + "SPEED_COL = \"veh.history.speed_ach_meters_per_second\"\n", + "TARGET_SPEED_COL = \"cyc.speed_meters_per_second\"\n", + "TIME_COL = \"cyc.time_seconds\"\n", + "\n", + "def run_thermal_hev_case(name, temps_c):\n", + " # Start from the same thermal HEV template for each scenario.\n", + " veh_dict = fastsim.Vehicle.from_resource(THERMAL_HEV_RESOURCE).to_pydict()\n", + "\n", + " # Set initial component temperatures (cabin, battery/RES, fuel converter).\n", + " veh_dict[\"cabin\"][\"LumpedCabin\"][\"state\"][\"temperature_kelvin\"] = c_to_k(temps_c[\"temp_cabin_c\"])\n", + " veh_dict[\"pt_type\"][\"HEV\"][\"res\"][\"thrml\"][\"RESLumpedThermal\"][\"state\"][\"temperature_kelvin\"] = c_to_k(temps_c[\"temp_res_c\"])\n", + " veh_dict[\"pt_type\"][\"HEV\"][\"fc\"][\"thrml\"][\"FuelConverterThermal\"][\"state\"][\"temperature_kelvin\"] = c_to_k(temps_c[\"temp_fc_c\"])\n", + " veh = fastsim.Vehicle.from_pydict(veh_dict)\n", + " # Save full time-series history so thermal trajectories are available in outputs.\n", + " veh.set_save_interval(1)\n", + "\n", + " # Apply scenario ambient temperature to every cycle time step.\n", + " cyc_dict = fastsim.Cycle.from_resource(\"udds.csv\").to_pydict()\n", + " cyc_dict[\"temp_amb_air_kelvin\"] = [c_to_k(temps_c[\"temp_amb_c\"])] * len(cyc_dict[\"time_seconds\"])\n", + " cyc = fastsim.Cycle.from_pydict(cyc_dict)\n", + "\n", + " # Run FASTSim and capture time histories for comparison.\n", + " sd = fastsim.SimDrive(veh, cyc)\n", + " sd.walk()\n", + " df = sd.to_dataframe(pandas=True)\n", + "\n", + " # Compute cycle-level fuel economy from distance and cumulative fuel energy.\n", + " distance_m = cyc_dict[\"dist_meters\"][-1]\n", + " distance_mi = distance_m / METERS_PER_MILE\n", + " fuel_mj = df[FUEL_ENERGY_COL].iloc[-1] / 1e6\n", + " mpg = distance_mi / (fuel_mj / MJ_PER_GGE)\n", + "\n", + " return {\n", + " \"name\": name,\n", + " \"temps_c\": temps_c,\n", + " \"df\": df,\n", + " \"distance_mi\": distance_mi,\n", + " \"fuel_mj\": fuel_mj,\n", + " \"mpg\": mpg,\n", + " }\n", + "\n", + "# Run all defined temperature scenarios into a common results dictionary.\n", + "results = {\n", + " name: run_thermal_hev_case(name, temps)\n", + " for name, temps in scenario_temps_c.items()\n", + "}" + ] + }, + { + "cell_type": "markdown", + "id": "0207088b", + "metadata": {}, + "source": [ + "## Summary Metrics\n", + "\n", + "This table compares fuel economy and final temperatures across the three initial-condition cases." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "e0ab689d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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ScenarioAmbient [C]Init Cabin [C]Init RES [C]Init FC [C]Fuel Economy [mpg]Final Cabin [C]Final RES [C]Final FC [C]
0Cold Soak / Cold Ambient-6.7-6.7-6.7-6.729.321.43-3.1185.26
1Warm Start / Cold Ambient-6.722.022.070.051.521.3725.1985.28
2Warm Start / Warm Ambient38.045.045.045.038.222.5246.8286.44
\n", + "
" + ], + "text/plain": [ + " Scenario Ambient [C] Init Cabin [C] Init RES [C] \\\n", + "0 Cold Soak / Cold Ambient -6.7 -6.7 -6.7 \n", + "1 Warm Start / Cold Ambient -6.7 22.0 22.0 \n", + "2 Warm Start / Warm Ambient 38.0 45.0 45.0 \n", + "\n", + " Init FC [C] Fuel Economy [mpg] Final Cabin [C] Final RES [C] \\\n", + "0 -6.7 29.3 21.43 -3.11 \n", + "1 70.0 51.5 21.37 25.19 \n", + "2 45.0 38.2 22.52 46.82 \n", + "\n", + " Final FC [C] \n", + "0 85.26 \n", + "1 85.28 \n", + "2 86.44 " + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "summary_rows = []\n", + "\n", + "# Build one summary row per scenario for side-by-side comparison.\n", + "for name, r in results.items():\n", + " df = r[\"df\"]\n", + " summary_rows.append({\n", + " \"Scenario\": name,\n", + " \"Ambient [C]\": r[\"temps_c\"][\"temp_amb_c\"],\n", + " \"Init Cabin [C]\": r[\"temps_c\"][\"temp_cabin_c\"],\n", + " \"Init RES [C]\": r[\"temps_c\"][\"temp_res_c\"],\n", + " \"Init FC [C]\": r[\"temps_c\"][\"temp_fc_c\"],\n", + " \"Fuel Economy [mpg]\": round(r[\"mpg\"], 2),\n", + " \"Final Cabin [C]\": round(df[CABIN_TEMP_COL].iloc[-1] - KELVIN_OFFSET, 2),\n", + " \"Final RES [C]\": round(df[RES_TEMP_COL].iloc[-1] - KELVIN_OFFSET, 2),\n", + " \"Final FC [C]\": round(df[FC_TEMP_COL].iloc[-1] - KELVIN_OFFSET, 2),\n", + " })\n", + "\n", + "# Display the comparison table.\n", + "pd.DataFrame(summary_rows)" + ] + }, + { + "cell_type": "markdown", + "id": "ea5f1b41", + "metadata": {}, + "source": [ + "## Fuel Use by Segment\n", + "\n", + "This combined figure aligns fuel power and speed on one shared time axis so you can inspect where temperature-dependent behavior influences fuel use during the cycle." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "9f2e21ec", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "name": "Fuel Power (Cold Soak / Cold Ambient)", + "type": "scatter", + "x": { + "bdata": 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+ "xanchor": "center", + "y": 0.98, + "yanchor": "top" + }, + "xaxis": { + "anchor": "y", + "domain": [ + 0, + 1 + ], + "matches": "x2", + "showticklabels": false + }, + "xaxis2": { + "anchor": "y2", + "domain": [ + 0, + 1 + ], + "rangeslider": { + "visible": true + }, + "title": { + "text": "Time [s]" + } + }, + "yaxis": { + "anchor": "x", + "domain": [ + 0.46640000000000004, + 1 + ], + "title": { + "text": "Fuel Power [kW]" + } + }, + "yaxis2": { + "anchor": "x2", + "domain": [ + 0, + 0.3864 + ], + "title": { + "text": "Speed [m/s]" + } + } + } + } + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig = make_subplots(\n", + " rows=2,\n", + " cols=1,\n", + " shared_xaxes=True,\n", + " vertical_spacing=0.08,\n", + " row_heights=[0.58, 0.42],\n", + " subplot_titles=(\n", + " \"Fuel Converter Fuel Power\",\n", + " \"Target and Achieved Speed\",\n", + " ),\n", + ")\n", + "\n", + "# Top panel: fuel power traces for each thermal scenario.\n", + "for name, r in results.items():\n", + " df = r[\"df\"]\n", + " fig.add_trace(\n", + " go.Scatter(\n", + " x=df[TIME_COL],\n", + " y=df[FUEL_PWR_COL] / 1e3,\n", + " name=f\"Fuel Power ({name})\",\n", + " ),\n", + " row=1,\n", + " col=1,\n", + " )\n", + "\n", + "# Bottom panel reference: target cycle speed (same for all scenarios).\n", + "baseline_df = next(iter(results.values()))[\"df\"]\n", + "fig.add_trace(\n", + " go.Scatter(\n", + " x=baseline_df[TIME_COL],\n", + " y=baseline_df[TARGET_SPEED_COL],\n", + " name=\"Target Speed\",\n", + " line={\"dash\": \"dash\", \"width\": 3},\n", + " ),\n", + " row=2,\n", + " col=1,\n", + ")\n", + "\n", + "# Bottom panel overlays: achieved speed for each scenario.\n", + "for name, r in results.items():\n", + " df = r[\"df\"]\n", + " fig.add_trace(\n", + " go.Scatter(\n", + " x=df[TIME_COL],\n", + " y=df[SPEED_COL],\n", + " name=f\"Achieved Speed ({name})\",\n", + " ),\n", + " row=2,\n", + " col=1,\n", + " )\n", + "\n", + "fig.update_layout(\n", + " height=900,\n", + " title={\"text\": \"HEV Thermal Scenarios: Fuel Use vs Cycle Segments\", \"x\": 0.5, \"xanchor\": \"center\", \"y\": 0.98, \"yanchor\": \"top\"},\n", + " legend={\"orientation\": \"h\", \"yanchor\": \"bottom\", \"y\": 1.06, \"xanchor\": \"left\", \"x\": 0.0},\n", + " margin={\"t\": 210},\n", + " hovermode=\"x unified\",\n", + ")\n", + "fig.update_yaxes(title_text=\"Fuel Power [kW]\", row=1, col=1)\n", + "fig.update_yaxes(title_text=\"Speed [m/s]\", row=2, col=1)\n", + "fig.update_xaxes(title_text=\"Time [s]\", row=2, col=1, rangeslider_visible=True)\n", + "\n", + "# Interactive figure for segment-level interpretation.\n", + "fig.show()" + ] + }, + { + "cell_type": "markdown", + "id": "eca605f8", + "metadata": {}, + "source": [ + "## Thermal State Trajectories\n", + "\n", + "This figure compares cabin, battery, and fuel-converter temperatures across scenarios, with ambient temperature shown as a dashed reference.\n", + "\n", + "A fourth panel shows achieved speed so the rangeslider preview reflects cycle-speed segments while you inspect thermal transients." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "2bb75edb", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "name": "Cabin (Cold Soak / Cold Ambient)", + "type": "scatter", + "x": { + "bdata": 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+ "dtype": "f8" + }, + "yaxis": "y" + }, + { + "name": "RES (Cold Soak / Cold Ambient)", + "type": "scatter", + "x": { + "bdata": 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+ "dtype": "f8" + }, + "yaxis": "y2" + }, + { + "name": "FC (Cold Soak / Cold Ambient)", + "type": "scatter", + "x": { + "bdata": 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+ "dtype": "f8" + }, + "yaxis": "y3" + }, + { + "name": "Speed (Cold Soak / Cold Ambient)", + "type": "scatter", + "x": { + "bdata": 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MGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMz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+ "dtype": "f8" + }, + "yaxis": "y" + }, + { + "name": "RES (Warm Start / Cold Ambient)", + "type": "scatter", + "x": { + "bdata": 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+ "dtype": "f8" + }, + "yaxis": "y2" + }, + { + "name": "FC (Warm Start / Cold Ambient)", + "type": "scatter", + "x": { + "bdata": 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MGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMzMzMwawMDMzMzMzBrAwMzMzMzMGsDAzMz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", + "dtype": "f8" + }, + "yaxis": "y" + }, + { + "name": "RES (Warm Start / Warm Ambient)", + "type": "scatter", + "x": { + "bdata": 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", 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+ "dtype": "f8" + }, + "xaxis": "x", + "y": { + "bdata": "      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@      C@", 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+ "ticks": "" + } + }, + "scene": { + "xaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "yaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "zaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + } + }, + "shapedefaults": { + "line": { + "color": "#2a3f5f" + } + }, + "ternary": { + "aaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "baxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "caxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "title": { + "x": 0.05 + }, + "xaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + }, + "yaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + } + } + }, + "title": { + "text": "HEV Thermal Scenarios: Component Temperature Trajectories", + "x": 0.5, + "xanchor": "center", + "y": 0.98, + "yanchor": "top" + }, + "xaxis": { + "anchor": "y", + "domain": [ + 0, + 1 + ], + "matches": "x4", + "showticklabels": false + }, + "xaxis2": { + "anchor": "y2", + "domain": [ + 0, + 1 + ], + "matches": "x4", + "showticklabels": false + }, + "xaxis3": { + "anchor": "y3", + "domain": [ + 0, + 1 + ], + "matches": "x4", + "showticklabels": false + }, + "xaxis4": { + "anchor": "y4", + "domain": [ + 0, + 1 + ], + "rangeslider": { + "visible": true + }, + "title": { + "text": "Time [s]" + } + }, + "yaxis": { + "anchor": "x", + "domain": [ + 0.7622, + 1 + ], + "title": { + "text": "Cabin [C]" + } + }, + "yaxis2": { + "anchor": "x2", + "domain": [ + 0.49720000000000003, + 0.7022 + ], + "title": { + "text": "RES [C]" + } + }, + "yaxis3": { + "anchor": "x3", + "domain": [ + 0.23220000000000002, + 0.43720000000000003 + ], + "title": { + "text": "FC [C]" + } + }, + "yaxis4": { + "anchor": "x4", + "domain": [ + 0, + 0.17220000000000002 + ], + "title": { + "text": "Speed [m/s]" + } + } + } + } + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig_t = make_subplots(\n", + " rows=4,\n", + " cols=1,\n", + " shared_xaxes=True,\n", + " vertical_spacing=0.06,\n", + " row_heights=[0.29, 0.25, 0.25, 0.21],\n", + " subplot_titles=(\n", + " \"Cabin Temperature\",\n", + " \"Battery (RES) Temperature\",\n", + " \"Fuel Converter Temperature\",\n", + " \"Achieved Speed\",\n", + " ),\n", + ")\n", + "\n", + "# Plot cabin, battery, fuel-converter temperatures, and achieved speed for each scenario.\n", + "for name, r in results.items():\n", + " df = r[\"df\"]\n", + " t = df[TIME_COL]\n", + "\n", + " fig_t.add_trace(\n", + " go.Scatter(x=t, y=df[CABIN_TEMP_COL] - KELVIN_OFFSET, name=f\"Cabin ({name})\"),\n", + " row=1,\n", + " col=1,\n", + " )\n", + " fig_t.add_trace(\n", + " go.Scatter(x=t, y=df[RES_TEMP_COL] - KELVIN_OFFSET, name=f\"RES ({name})\"),\n", + " row=2,\n", + " col=1,\n", + " )\n", + " fig_t.add_trace(\n", + " go.Scatter(x=t, y=df[FC_TEMP_COL] - KELVIN_OFFSET, name=f\"FC ({name})\"),\n", + " row=3,\n", + " col=1,\n", + " )\n", + " fig_t.add_trace(\n", + " go.Scatter(x=t, y=df[SPEED_COL], name=f\"Speed ({name})\"),\n", + " row=4,\n", + " col=1,\n", + " )\n", + " # Overlay ambient on cabin panel as a dashed reference.\n", + " fig_t.add_trace(\n", + " go.Scatter(\n", + " x=t,\n", + " y=df[AMBIENT_TEMP_COL] - KELVIN_OFFSET,\n", + " name=f\"Ambient ({name})\",\n", + " line={\"dash\": \"dash\"},\n", + " opacity=0.55,\n", + " ),\n", + " row=1,\n", + " col=1,\n", + " )\n", + "\n", + "fig_t.update_layout(\n", + " height=1250,\n", + " title={\"text\": \"HEV Thermal Scenarios: Component Temperature Trajectories\", \"x\": 0.5, \"xanchor\": \"center\", \"y\": 0.98, \"yanchor\": \"top\"},\n", + " legend={\"orientation\": \"h\", \"yanchor\": \"bottom\", \"y\": 1.06, \"xanchor\": \"left\", \"x\": 0.0},\n", + " margin={\"t\": 260},\n", + " hovermode=\"x unified\",\n", + ")\n", + "fig_t.update_yaxes(title_text=\"Cabin [C]\", row=1, col=1)\n", + "fig_t.update_yaxes(title_text=\"RES [C]\", row=2, col=1)\n", + "fig_t.update_yaxes(title_text=\"FC [C]\", row=3, col=1)\n", + "fig_t.update_yaxes(title_text=\"Speed [m/s]\", row=4, col=1)\n", + "fig_t.update_xaxes(title_text=\"Time [s]\", row=4, col=1, rangeslider_visible=True)\n", + "\n", + "# Interactive temperature trajectories across scenarios.\n", + "fig_t.show()" + ] } ], "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, "language_info": { - "name": "python" + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.14.6" } }, "nbformat": 4, diff --git a/fastsim-core/src/vehicle/hev.rs b/fastsim-core/src/vehicle/hev.rs index 2bdcefb15..55931aada 100644 --- a/fastsim-core/src/vehicle/hev.rs +++ b/fastsim-core/src/vehicle/hev.rs @@ -94,34 +94,34 @@ impl HybridElectricVehicle { } }; if fc_on_soc > self.res.max_soc { - eprintln!("fc_on_soc > self.res.max_soc"); - eprintln!("fc_on_soc: {:?}", fc_on_soc); + // eprintln!("fc_on_soc > self.res.max_soc"); + // eprintln!("fc_on_soc: {:?}", fc_on_soc); } if fc_on_soc < self.res.min_soc { - eprintln!("fc_on_soc < self.res.min_soc"); - eprintln!("fc_on_soc: {:?}", fc_on_soc); + // eprintln!("fc_on_soc < self.res.min_soc"); + // eprintln!("fc_on_soc: {:?}", fc_on_soc); } if disch_buffer > self.res.energy_capacity_usable() { - eprintln!("disch_buffer < self.res.energy_capacity_usable()"); - eprintln!( - "disch_buffer: {:?} kWh", - disch_buffer.get::() - ); - eprintln!( - "RES usable energy capacity: {:?} kWh", - self.res.energy_capacity_usable().get::() - ); + // eprintln!("disch_buffer > self.res.energy_capacity_usable()"); + // eprintln!( + // "disch_buffer: {:?} kWh", + // disch_buffer.get::() + // ); + // eprintln!( + // "RES usable energy capacity: {:?} kWh", + // self.res.energy_capacity_usable().get::() + // ); } if chrg_buffer > self.res.energy_capacity_usable() { - eprintln!("disch_buffer < self.res.energy_capacity_usable()"); - eprintln!( - "chrg_buffer: {:?} kWh", - chrg_buffer.get::() - ); - eprintln!( - "RES usable energy capacity: {:?} kWh", - self.res.energy_capacity_usable().get::() - ); + // eprintln!("chrg_buffer > self.res.energy_capacity_usable()"); + // eprintln!( + // "chrg_buffer: {:?} kWh", + // chrg_buffer.get::() + // ); + // eprintln!( + // "RES usable energy capacity: {:?} kWh", + // self.res.energy_capacity_usable().get::() + // ); } Ok(()) } From 4b051157a6d0e66b1ec2353d978a61530c70a344 Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Tue, 14 Jul 2026 20:28:53 -0600 Subject: [PATCH 32/67] update plot coloring throughout docs --- docs/content/getting-started.ipynb | 59 ++++-- .../user-guide/drive-cycles/drive-cycle.ipynb | 6 +- .../running-simulations/advanced/cavs.ipynb | 48 ++++- .../running-simulations/advanced/dfco.ipynb | 177 ++++++++++------- .../advanced/start-stop.ipynb | 63 +++++- .../advanced/thermal-simulations.ipynb | 184 ++++++++++++++++-- .../running-simulations/simdrive.ipynb | 34 ++-- .../running-simulations/trace-miss.ipynb | 57 +++--- 8 files changed, 462 insertions(+), 166 deletions(-) diff --git a/docs/content/getting-started.ipynb b/docs/content/getting-started.ipynb index 6a82bc3e3..029a738c5 100644 --- a/docs/content/getting-started.ipynb +++ b/docs/content/getting-started.ipynb @@ -31,7 +31,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 56, "id": "cell-1", "metadata": {}, "outputs": [], @@ -52,7 +52,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 57, "id": "cell-3", "metadata": {}, "outputs": [ @@ -70,7 +70,7 @@ " PosixPath('2026_Chrysler_Pacifica_Select_thrml.yaml')]" ] }, - "execution_count": 15, + "execution_count": 57, "metadata": {}, "output_type": "execute_result" } @@ -90,7 +90,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 58, "id": "cell-5", "metadata": {}, "outputs": [ @@ -125,7 +125,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 59, "id": "cell-7", "metadata": {}, "outputs": [], @@ -153,7 +153,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 60, "id": "cell-9", "metadata": {}, "outputs": [ @@ -168,7 +168,7 @@ "hovertemplate": "time_seconds=%{x}
speed_meters_per_second=%{y}", "legendgroup": "", "line": { - "color": "#636efa", + "color": "#0072B2", "dash": "solid" }, "marker": { @@ -1002,7 +1002,9 @@ ], "source": [ "cyc = fastsim.Cycle.from_resource(\"udds.csv\")\n", - "fig = cyc.plot()" + "fig = cyc.plot(show=False)\n", + "fig.update_traces(line={\"color\": \"#0072B2\"})\n", + "fig.show()" ] }, { @@ -1018,7 +1020,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 61, "id": "cell-11", "metadata": {}, "outputs": [], @@ -1043,7 +1045,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 62, "id": "cell-13", "metadata": {}, "outputs": [ @@ -1075,7 +1077,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 63, "id": "cell-15", "metadata": {}, "outputs": [ @@ -1088,7 +1090,9 @@ "data": [ { "line": { - "dash": "dash" + "color": "#4D4D4D", + "dash": "dash", + "width": 3 }, "name": "Target", "type": "scatter", @@ -1102,6 +1106,9 @@ } }, { + "line": { + "color": "#0072B2" + }, "name": "Achieved", "type": "scatter", "x": { @@ -1911,17 +1918,21 @@ "source": [ "import plotly.graph_objects as go\n", "\n", + "TARGET_COLOR = \"#4D4D4D\"\n", + "ACHIEVED_COLOR = \"#0072B2\"\n", + "\n", "fig = go.Figure()\n", "fig.add_trace(go.Scatter(\n", " x=df[\"cyc.time_seconds\"],\n", " y=df[\"cyc.speed_meters_per_second\"],\n", " name=\"Target\",\n", - " line={\"dash\": \"dash\"},\n", + " line={\"dash\": \"dash\", \"width\": 3, \"color\": TARGET_COLOR},\n", "))\n", "fig.add_trace(go.Scatter(\n", " x=df[\"cyc.time_seconds\"],\n", " y=df[\"veh.history.speed_ach_meters_per_second\"],\n", " name=\"Achieved\",\n", + " line={\"color\": ACHIEVED_COLOR},\n", "))\n", "fig.update_layout(xaxis_title=\"Time [s]\", yaxis_title=\"Speed [m/s]\")\n", "fig.show()" @@ -1938,7 +1949,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 64, "id": "cell-17", "metadata": {}, "outputs": [ @@ -1953,7 +1964,7 @@ "hovertemplate": "x=%{x}
y=%{y}", "legendgroup": "", "line": { - "color": "#636efa", + "color": "#D55E00", "dash": "solid" }, "marker": { @@ -2791,6 +2802,7 @@ "fig = px.line(\n", " x=df[\"cyc.time_seconds\"],\n", " y=df[\"veh.pt_type.Conv.fc.history.pwr_fuel_watts\"] / 1e3,\n", + " color_discrete_sequence=[\"#D55E00\"],\n", ")\n", "fig.update_layout(xaxis_title=\"Time [s]\", yaxis_title=\"Fuel Power [kW]\")\n", "fig.show()" @@ -2810,7 +2822,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 65, "id": "cell-19", "metadata": {}, "outputs": [ @@ -2871,7 +2883,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 66, "id": "cell-21", "metadata": {}, "outputs": [ @@ -2910,7 +2922,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 67, "id": "cell-23", "metadata": {}, "outputs": [ @@ -2922,6 +2934,9 @@ }, "data": [ { + "line": { + "color": "#0072B2" + }, "name": "Original", "type": "scatter", "x": { @@ -2934,6 +2949,9 @@ } }, { + "line": { + "color": "#56B4E9" + }, "name": "With 800 kg payload", "type": "scatter", "x": { @@ -3743,16 +3761,21 @@ "source": [ "df_heavy = sd_heavy.to_dataframe(pandas=True)\n", "\n", + "ORIGINAL_COLOR = \"#0072B2\"\n", + "HEAVY_COLOR = \"#56B4E9\"\n", + "\n", "fig = go.Figure()\n", "fig.add_trace(go.Scatter(\n", " x=df[\"cyc.time_seconds\"],\n", " y=df[\"veh.pt_type.Conv.fc.history.pwr_fuel_watts\"] / 1e3,\n", " name=\"Original\",\n", + " line={\"color\": ORIGINAL_COLOR},\n", "))\n", "fig.add_trace(go.Scatter(\n", " x=df_heavy[\"cyc.time_seconds\"],\n", " y=df_heavy[\"veh.pt_type.Conv.fc.history.pwr_fuel_watts\"] / 1e3,\n", " name=\"With 800 kg payload\",\n", + " line={\"color\": HEAVY_COLOR},\n", "))\n", "fig.update_layout(xaxis_title=\"Time [s]\", yaxis_title=\"Fuel Power [kW]\")\n", "fig.show()" diff --git a/docs/content/user-guide/drive-cycles/drive-cycle.ipynb b/docs/content/user-guide/drive-cycles/drive-cycle.ipynb index e7b138b9b..90d6fcdbf 100644 --- a/docs/content/user-guide/drive-cycles/drive-cycle.ipynb +++ b/docs/content/user-guide/drive-cycles/drive-cycle.ipynb @@ -99,7 +99,7 @@ "hovertemplate": "time_seconds=%{x}
speed_meters_per_second=%{y}", "legendgroup": "", "line": { - "color": "#636efa", + "color": "#0072B2", "dash": "solid" }, "marker": { @@ -934,7 +934,9 @@ ], "source": [ "# Default: x=`time_seconds`, y=`speed_meters_per_second`\n", - "fig = cyc.plot()\n", + "fig = cyc.plot(show=False)\n", + "fig.update_traces(line={\"color\": \"#0072B2\"})\n", + "fig.show()\n", "\n", "# Try also:\n", "# - cyc.plot(x=\"dist_meters\")\n", diff --git a/docs/content/user-guide/running-simulations/advanced/cavs.ipynb b/docs/content/user-guide/running-simulations/advanced/cavs.ipynb index 2748a22f5..7beb76a40 100644 --- a/docs/content/user-guide/running-simulations/advanced/cavs.ipynb +++ b/docs/content/user-guide/running-simulations/advanced/cavs.ipynb @@ -33,7 +33,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 16, "id": "9cc1a8ba", "metadata": {}, "outputs": [], @@ -78,7 +78,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 17, "id": "e413b64c", "metadata": {}, "outputs": [], @@ -105,7 +105,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 18, "id": "cecdd7b1", "metadata": {}, "outputs": [], @@ -182,7 +182,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 19, "id": "9082b350", "metadata": {}, "outputs": [ @@ -265,7 +265,7 @@ "3 21.80 " ] }, - "execution_count": 4, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } @@ -307,7 +307,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 20, "id": "a732a9a1", "metadata": {}, "outputs": [ @@ -319,6 +319,9 @@ }, "data": [ { + "line": { + "color": "#0072B2" + }, "name": "Fuel Power (Baseline)", "type": "scatter", "x": { @@ -333,6 +336,9 @@ "yaxis": "y" }, { + "line": { + "color": "#56B4E9" + }, "name": "Fuel Power (Eco-Cruise (IDM))", "type": "scatter", "x": { @@ -347,6 +353,9 @@ "yaxis": "y" }, { + "line": { + "color": "#009E73" + }, "name": "Fuel Power (Advanced Coasting)", "type": "scatter", "x": { @@ -361,6 +370,9 @@ "yaxis": "y" }, { + "line": { + "color": "#E69F00" + }, "name": "Fuel Power (Cruise + Coast)", "type": "scatter", "x": { @@ -376,6 +388,7 @@ }, { "line": { + "color": "#4D4D4D", "dash": "dash", "width": 3 }, @@ -393,6 +406,9 @@ "yaxis": "y2" }, { + "line": { + "color": "#0072B2" + }, "name": "Achieved Speed (Baseline)", "type": "scatter", "x": { @@ -407,6 +423,9 @@ "yaxis": "y2" }, { + "line": { + "color": "#56B4E9" + }, "name": "Achieved Speed (Eco-Cruise (IDM))", "type": "scatter", "x": { @@ -421,6 +440,9 @@ "yaxis": "y2" }, { + "line": { + "color": "#009E73" + }, "name": "Achieved Speed (Advanced Coasting)", "type": "scatter", "x": { @@ -435,6 +457,9 @@ "yaxis": "y2" }, { + "line": { + "color": "#E69F00" + }, "name": "Achieved Speed (Cruise + Coast)", "type": "scatter", "x": { @@ -1757,6 +1782,13 @@ " ),\n", ")\n", "\n", + "scenario_palette = [\"#0072B2\", \"#56B4E9\", \"#009E73\", \"#E69F00\", \"#D55E00\", \"#CC79A7\"]\n", + "scenario_colors = {\n", + " name: scenario_palette[idx % len(scenario_palette)]\n", + " for idx, name in enumerate(results.keys())\n", + "}\n", + "target_color = \"#4D4D4D\"\n", + "\n", "for name, r in results.items():\n", " df_s = r[\"df\"]\n", " fig.add_trace(\n", @@ -1764,6 +1796,7 @@ " x=df_s[\"cyc.time_seconds\"],\n", " y=df_s[\"veh.pt_type.Conv.fc.history.pwr_fuel_watts\"] / 1e3,\n", " name=f\"Fuel Power ({name})\",\n", + " line={\"color\": scenario_colors[name]},\n", " ),\n", " row=1,\n", " col=1,\n", @@ -1775,7 +1808,7 @@ " x=baseline_df[\"cyc.time_seconds\"],\n", " y=baseline_df[\"cyc.speed_meters_per_second\"],\n", " name=\"Target Speed\",\n", - " line={\"dash\": \"dash\", \"width\": 3},\n", + " line={\"dash\": \"dash\", \"width\": 3, \"color\": target_color},\n", " ),\n", " row=2,\n", " col=1,\n", @@ -1788,6 +1821,7 @@ " x=df_s[\"cyc.time_seconds\"],\n", " y=df_s[\"veh.history.speed_ach_meters_per_second\"],\n", " name=f\"Achieved Speed ({name})\",\n", + " line={\"color\": scenario_colors[name]},\n", " ),\n", " row=2,\n", " col=1,\n", diff --git a/docs/content/user-guide/running-simulations/advanced/dfco.ipynb b/docs/content/user-guide/running-simulations/advanced/dfco.ipynb index ccfc6db7f..7ab40de7e 100644 --- a/docs/content/user-guide/running-simulations/advanced/dfco.ipynb +++ b/docs/content/user-guide/running-simulations/advanced/dfco.ipynb @@ -25,7 +25,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 22, "id": "722f8474", "metadata": {}, "outputs": [], @@ -55,7 +55,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 23, "id": "bfc730db", "metadata": {}, "outputs": [], @@ -97,7 +97,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 24, "id": "ed2db136", "metadata": {}, "outputs": [ @@ -151,7 +151,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 25, "id": "39862094", "metadata": {}, "outputs": [ @@ -163,6 +163,11 @@ }, "data": [ { + "line": { + "color": "#0072B2", + "dash": "solid", + "width": 2.4 + }, "name": "Fuel Power (Baseline)", "type": "scatter", "x": { @@ -177,6 +182,11 @@ "yaxis": "y" }, { + "line": { + "color": "#D55E00", + "dash": "dash", + "width": 2.4 + }, "name": "Fuel Power (DFCO)", "type": "scatter", "x": { @@ -192,6 +202,7 @@ }, { "line": { + "color": "#333333", "dash": "dash", "width": 3 }, @@ -209,6 +220,11 @@ "yaxis": "y2" }, { + "line": { + "color": "#0072B2", + "dash": "solid", + "width": 2.2 + }, "name": "Achieved Speed (Baseline)", "type": "scatter", "x": { @@ -223,6 +239,11 @@ "yaxis": "y2" }, { + "line": { + "color": "#D55E00", + "dash": "dash", + "width": 2.2 + }, "name": "Achieved Speed (DFCO)", "type": "scatter", "x": { @@ -280,7 +301,7 @@ }, "shapes": [ { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -294,7 +315,7 @@ "yref": "y domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -308,7 +329,7 @@ "yref": "y2 domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -322,7 +343,7 @@ "yref": "y domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -336,7 +357,7 @@ "yref": "y2 domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -350,7 +371,7 @@ "yref": "y domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -364,7 +385,7 @@ "yref": "y2 domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -378,7 +399,7 @@ "yref": "y domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -392,7 +413,7 @@ "yref": "y2 domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -406,7 +427,7 @@ "yref": "y domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -420,7 +441,7 @@ "yref": "y2 domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -434,7 +455,7 @@ "yref": "y domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -448,7 +469,7 @@ "yref": "y2 domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -462,7 +483,7 @@ "yref": "y domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -476,7 +497,7 @@ "yref": "y2 domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -490,7 +511,7 @@ "yref": "y domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -504,7 +525,7 @@ "yref": "y2 domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -518,7 +539,7 @@ "yref": "y domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -532,7 +553,7 @@ "yref": "y2 domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -546,7 +567,7 @@ "yref": "y domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -560,7 +581,7 @@ "yref": "y2 domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -574,7 +595,7 @@ "yref": "y domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -588,7 +609,7 @@ "yref": "y2 domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -602,7 +623,7 @@ "yref": "y domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -616,7 +637,7 @@ "yref": "y2 domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -630,7 +651,7 @@ "yref": "y domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -644,7 +665,7 @@ "yref": "y2 domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -658,7 +679,7 @@ "yref": "y domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -672,7 +693,7 @@ "yref": "y2 domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -686,7 +707,7 @@ "yref": "y domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -700,7 +721,7 @@ "yref": "y2 domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -714,7 +735,7 @@ "yref": "y domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -728,7 +749,7 @@ "yref": "y2 domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -742,7 +763,7 @@ "yref": "y domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -756,7 +777,7 @@ "yref": "y2 domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -770,7 +791,7 @@ "yref": "y domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -784,7 +805,7 @@ "yref": "y2 domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -798,7 +819,7 @@ "yref": "y domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -812,7 +833,7 @@ "yref": "y2 domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -826,7 +847,7 @@ "yref": "y domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -840,7 +861,7 @@ "yref": "y2 domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -854,7 +875,7 @@ "yref": "y domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -868,7 +889,7 @@ "yref": "y2 domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -882,7 +903,7 @@ "yref": "y domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -896,7 +917,7 @@ "yref": "y2 domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -910,7 +931,7 @@ "yref": "y domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -924,7 +945,7 @@ "yref": "y2 domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -938,7 +959,7 @@ "yref": "y domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -952,7 +973,7 @@ "yref": "y2 domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -966,7 +987,7 @@ "yref": "y domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -980,7 +1001,7 @@ "yref": "y2 domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -994,7 +1015,7 @@ "yref": "y domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -1008,7 +1029,7 @@ "yref": "y2 domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -1022,7 +1043,7 @@ "yref": "y domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -1036,7 +1057,7 @@ "yref": "y2 domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -1050,7 +1071,7 @@ "yref": "y domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -1064,7 +1085,7 @@ "yref": "y2 domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -1078,7 +1099,7 @@ "yref": "y domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -1092,7 +1113,7 @@ "yref": "y2 domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -1106,7 +1127,7 @@ "yref": "y domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -1120,7 +1141,7 @@ "yref": "y2 domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -1134,7 +1155,7 @@ "yref": "y domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -1148,7 +1169,7 @@ "yref": "y2 domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -1162,7 +1183,7 @@ "yref": "y domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -1176,7 +1197,7 @@ "yref": "y2 domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -1190,7 +1211,7 @@ "yref": "y domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -1204,7 +1225,7 @@ "yref": "y2 domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -1218,7 +1239,7 @@ "yref": "y domain" }, { - "fillcolor": "rgba(60, 179, 113, 0.18)", + "fillcolor": "rgba(120, 120, 120, 0.14)", "layer": "below", "line": { "width": 0 @@ -2067,6 +2088,10 @@ "source": [ "from plotly.subplots import make_subplots\n", "\n", + "BASELINE_COLOR = \"#0072B2\"\n", + "DFCO_COLOR = \"#D55E00\"\n", + "TARGET_COLOR = \"#333333\"\n", + "\n", "dfco_speed_threshold = 11.176\n", "dfco_accel_threshold = -0.2\n", "\n", @@ -2096,6 +2121,7 @@ " x=df[\"cyc.time_seconds\"],\n", " y=df[\"veh.pt_type.Conv.fc.history.pwr_fuel_watts\"] / 1e3,\n", " name=\"Fuel Power (Baseline)\",\n", + " line={\"color\": BASELINE_COLOR, \"dash\": \"solid\", \"width\": 2.4},\n", " ),\n", " row=1,\n", " col=1,\n", @@ -2105,6 +2131,7 @@ " x=df_dfco[\"cyc.time_seconds\"],\n", " y=df_dfco[\"veh.pt_type.Conv.fc.history.pwr_fuel_watts\"] / 1e3,\n", " name=\"Fuel Power (DFCO)\",\n", + " line={\"color\": DFCO_COLOR, \"dash\": \"dash\", \"width\": 2.4},\n", " ),\n", " row=1,\n", " col=1,\n", @@ -2115,7 +2142,7 @@ " x=df[\"cyc.time_seconds\"],\n", " y=df[\"cyc.speed_meters_per_second\"],\n", " name=\"Target Speed\",\n", - " line={\"dash\": \"dash\", \"width\": 3},\n", + " line={\"dash\": \"dash\", \"width\": 3, \"color\": TARGET_COLOR},\n", " ),\n", " row=2,\n", " col=1,\n", @@ -2125,6 +2152,7 @@ " x=df[\"cyc.time_seconds\"],\n", " y=df[\"veh.history.speed_ach_meters_per_second\"],\n", " name=\"Achieved Speed (Baseline)\",\n", + " line={\"color\": BASELINE_COLOR, \"dash\": \"solid\", \"width\": 2.2},\n", " ),\n", " row=2,\n", " col=1,\n", @@ -2134,6 +2162,7 @@ " x=df_dfco[\"cyc.time_seconds\"],\n", " y=df_dfco[\"veh.history.speed_ach_meters_per_second\"],\n", " name=\"Achieved Speed (DFCO)\",\n", + " line={\"color\": DFCO_COLOR, \"dash\": \"dash\", \"width\": 2.2},\n", " ),\n", " row=2,\n", " col=1,\n", @@ -2143,7 +2172,7 @@ " fig.add_vrect(\n", " x0=x0,\n", " x1=x1,\n", - " fillcolor=\"rgba(60, 179, 113, 0.18)\",\n", + " fillcolor=\"rgba(120, 120, 120, 0.14)\",\n", " line_width=0,\n", " layer=\"below\",\n", " row=\"all\",\n", diff --git a/docs/content/user-guide/running-simulations/advanced/start-stop.ipynb b/docs/content/user-guide/running-simulations/advanced/start-stop.ipynb index e80180018..ebfbe97fa 100644 --- a/docs/content/user-guide/running-simulations/advanced/start-stop.ipynb +++ b/docs/content/user-guide/running-simulations/advanced/start-stop.ipynb @@ -34,7 +34,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 32, "id": "824990a8", "metadata": {}, "outputs": [], @@ -62,7 +62,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 33, "id": "ca749cc4", "metadata": {}, "outputs": [], @@ -114,7 +114,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 34, "id": "7b704f9f", "metadata": {}, "outputs": [ @@ -167,7 +167,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 35, "id": "e85775f1", "metadata": {}, "outputs": [], @@ -386,7 +386,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 36, "id": "ccc9e0be", "metadata": {}, "outputs": [ @@ -450,7 +450,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 37, "id": "b414f3e5", "metadata": {}, "outputs": [ @@ -462,6 +462,11 @@ }, "data": [ { + "line": { + "color": "#0072B2", + "dash": "solid", + "width": 2.4 + }, "name": "Fuel Power (Baseline)", "type": "scatter", "x": { @@ -476,6 +481,11 @@ "yaxis": "y" }, { + "line": { + "color": "#D55E00", + "dash": "dash", + "width": 2.4 + }, "name": "Fuel Power (Start-Stop)", "type": "scatter", "x": { @@ -490,6 +500,11 @@ "yaxis": "y" }, { + "line": { + "color": "#009E73", + "dash": "dot", + "width": 2.4 + }, "name": "Fuel Power (Micro-Hybrid)", "type": "scatter", "x": { @@ -505,6 +520,7 @@ }, { "line": { + "color": "#333333", "dash": "dash", "width": 3 }, @@ -522,6 +538,11 @@ "yaxis": "y2" }, { + "line": { + "color": "#0072B2", + "dash": "solid", + "width": 2.2 + }, "name": "Achieved Speed (Baseline)", "type": "scatter", "x": { @@ -536,6 +557,11 @@ "yaxis": "y2" }, { + "line": { + "color": "#D55E00", + "dash": "dash", + "width": 2.2 + }, "name": "Achieved Speed (Start-Stop)", "type": "scatter", "x": { @@ -550,6 +576,11 @@ "yaxis": "y2" }, { + "line": { + "color": "#009E73", + "dash": "dot", + "width": 2.2 + }, "name": "Achieved Speed (Micro-Hybrid)", "type": "scatter", "x": { @@ -1974,6 +2005,18 @@ "source": [ "from plotly.subplots import make_subplots\n", "\n", + "SCENARIO_COLORS = {\n", + " \"Baseline\": \"#0072B2\",\n", + " \"Start-Stop\": \"#D55E00\",\n", + " \"Micro-Hybrid\": \"#009E73\",\n", + "}\n", + "SCENARIO_DASHES = {\n", + " \"Baseline\": \"solid\",\n", + " \"Start-Stop\": \"dash\",\n", + " \"Micro-Hybrid\": \"dot\",\n", + "}\n", + "TARGET_COLOR = \"#333333\"\n", + "\n", "time = df[\"cyc.time_seconds\"]\n", "speed_target = df[\"cyc.speed_meters_per_second\"]\n", "stopped_mask = speed_target <= 0.5\n", @@ -1997,6 +2040,7 @@ " x=df[\"cyc.time_seconds\"],\n", " y=df[\"veh.pt_type.Conv.fc.history.pwr_fuel_watts\"] / 1e3,\n", " name=\"Fuel Power (Baseline)\",\n", + " line={\"color\": SCENARIO_COLORS[\"Baseline\"], \"dash\": SCENARIO_DASHES[\"Baseline\"], \"width\": 2.4},\n", " ),\n", " row=1,\n", " col=1,\n", @@ -2006,6 +2050,7 @@ " x=df_ss[\"cyc.time_seconds\"],\n", " y=df_ss[\"veh.pt_type.Conv.fc.history.pwr_fuel_watts\"] / 1e3,\n", " name=\"Fuel Power (Start-Stop)\",\n", + " line={\"color\": SCENARIO_COLORS[\"Start-Stop\"], \"dash\": SCENARIO_DASHES[\"Start-Stop\"], \"width\": 2.4},\n", " ),\n", " row=1,\n", " col=1,\n", @@ -2015,6 +2060,7 @@ " x=df_uhev[\"cyc.time_seconds\"],\n", " y=df_uhev[\"veh.pt_type.HEV.fc.history.pwr_fuel_watts\"] / 1e3,\n", " name=\"Fuel Power (Micro-Hybrid)\",\n", + " line={\"color\": SCENARIO_COLORS[\"Micro-Hybrid\"], \"dash\": SCENARIO_DASHES[\"Micro-Hybrid\"], \"width\": 2.4},\n", " ),\n", " row=1,\n", " col=1,\n", @@ -2025,7 +2071,7 @@ " x=df[\"cyc.time_seconds\"],\n", " y=df[\"cyc.speed_meters_per_second\"],\n", " name=\"Target Speed\",\n", - " line={\"dash\": \"dash\", \"width\": 3},\n", + " line={\"dash\": \"dash\", \"width\": 3, \"color\": TARGET_COLOR},\n", " ),\n", " row=2,\n", " col=1,\n", @@ -2035,6 +2081,7 @@ " x=df[\"cyc.time_seconds\"],\n", " y=df[\"veh.history.speed_ach_meters_per_second\"],\n", " name=\"Achieved Speed (Baseline)\",\n", + " line={\"color\": SCENARIO_COLORS[\"Baseline\"], \"dash\": SCENARIO_DASHES[\"Baseline\"], \"width\": 2.2},\n", " ),\n", " row=2,\n", " col=1,\n", @@ -2044,6 +2091,7 @@ " x=df_ss[\"cyc.time_seconds\"],\n", " y=df_ss[\"veh.history.speed_ach_meters_per_second\"],\n", " name=\"Achieved Speed (Start-Stop)\",\n", + " line={\"color\": SCENARIO_COLORS[\"Start-Stop\"], \"dash\": SCENARIO_DASHES[\"Start-Stop\"], \"width\": 2.2},\n", " ),\n", " row=2,\n", " col=1,\n", @@ -2053,6 +2101,7 @@ " x=df_uhev[\"cyc.time_seconds\"],\n", " y=df_uhev[\"veh.history.speed_ach_meters_per_second\"],\n", " name=\"Achieved Speed (Micro-Hybrid)\",\n", + " line={\"color\": SCENARIO_COLORS[\"Micro-Hybrid\"], \"dash\": SCENARIO_DASHES[\"Micro-Hybrid\"], \"width\": 2.2},\n", " ),\n", " row=2,\n", " col=1,\n", diff --git a/docs/content/user-guide/running-simulations/advanced/thermal-simulations.ipynb b/docs/content/user-guide/running-simulations/advanced/thermal-simulations.ipynb index 4979cc0b8..5604f840e 100644 --- a/docs/content/user-guide/running-simulations/advanced/thermal-simulations.ipynb +++ b/docs/content/user-guide/running-simulations/advanced/thermal-simulations.ipynb @@ -37,7 +37,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 13, "id": "237b1770", "metadata": {}, "outputs": [], @@ -71,7 +71,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 14, "id": "7f16c182", "metadata": {}, "outputs": [], @@ -117,7 +117,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 15, "id": "bc3d2473", "metadata": {}, "outputs": [], @@ -191,7 +191,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 16, "id": "e0ab689d", "metadata": {}, "outputs": [ @@ -285,7 +285,7 @@ "2 86.44 " ] }, - "execution_count": 4, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -324,7 +324,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 17, "id": "9f2e21ec", "metadata": {}, "outputs": [ @@ -336,6 +336,11 @@ }, "data": [ { + "line": { + "color": "#0072B2", + "dash": "solid", + "width": 2.3 + }, "name": "Fuel Power (Cold Soak / Cold Ambient)", "type": "scatter", "x": { @@ -350,6 +355,11 @@ "yaxis": "y" }, { + "line": { + "color": "#D55E00", + "dash": "dash", + "width": 2.3 + }, "name": "Fuel Power (Warm Start / Cold Ambient)", "type": "scatter", "x": { @@ -364,6 +374,11 @@ "yaxis": "y" }, { + "line": { + "color": "#009E73", + "dash": "dot", + "width": 2.3 + }, "name": "Fuel Power (Warm Start / Warm Ambient)", "type": "scatter", "x": { @@ -379,6 +394,7 @@ }, { "line": { + "color": "#333333", "dash": "dash", "width": 3 }, @@ -396,6 +412,11 @@ "yaxis": "y2" }, { + "line": { + "color": "#0072B2", + "dash": "solid", + "width": 2.1 + }, "name": "Achieved Speed (Cold Soak / Cold Ambient)", "type": "scatter", "x": { @@ -410,6 +431,11 @@ "yaxis": "y2" }, { + "line": { + "color": "#D55E00", + "dash": "dash", + "width": 2.1 + }, "name": "Achieved Speed (Warm Start / Cold Ambient)", "type": "scatter", "x": { @@ -424,6 +450,11 @@ "yaxis": "y2" }, { + "line": { + "color": "#009E73", + "dash": "dot", + "width": 2.1 + }, "name": "Achieved Speed (Warm Start / Warm Ambient)", "type": "scatter", "x": { @@ -1324,6 +1355,18 @@ " ),\n", ")\n", "\n", + "scenario_palette = [\"#0072B2\", \"#D55E00\", \"#009E73\", \"#CC79A7\", \"#E69F00\", \"#000000\"]\n", + "scenario_dash_cycle = [\"solid\", \"dash\", \"dot\", \"dashdot\", \"longdash\", \"longdashdot\"]\n", + "scenario_colors = {\n", + " name: scenario_palette[idx % len(scenario_palette)]\n", + " for idx, name in enumerate(results.keys())\n", + "}\n", + "scenario_dashes = {\n", + " name: scenario_dash_cycle[idx % len(scenario_dash_cycle)]\n", + " for idx, name in enumerate(results.keys())\n", + "}\n", + "target_color = \"#333333\"\n", + "\n", "# Top panel: fuel power traces for each thermal scenario.\n", "for name, r in results.items():\n", " df = r[\"df\"]\n", @@ -1332,6 +1375,7 @@ " x=df[TIME_COL],\n", " y=df[FUEL_PWR_COL] / 1e3,\n", " name=f\"Fuel Power ({name})\",\n", + " line={\"color\": scenario_colors[name], \"dash\": scenario_dashes[name], \"width\": 2.3},\n", " ),\n", " row=1,\n", " col=1,\n", @@ -1344,7 +1388,7 @@ " x=baseline_df[TIME_COL],\n", " y=baseline_df[TARGET_SPEED_COL],\n", " name=\"Target Speed\",\n", - " line={\"dash\": \"dash\", \"width\": 3},\n", + " line={\"dash\": \"dash\", \"width\": 3, \"color\": target_color},\n", " ),\n", " row=2,\n", " col=1,\n", @@ -1358,6 +1402,7 @@ " x=df[TIME_COL],\n", " y=df[SPEED_COL],\n", " name=f\"Achieved Speed ({name})\",\n", + " line={\"color\": scenario_colors[name], \"dash\": scenario_dashes[name], \"width\": 2.1},\n", " ),\n", " row=2,\n", " col=1,\n", @@ -1392,7 +1437,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 18, "id": "2bb75edb", "metadata": {}, "outputs": [ @@ -1404,6 +1449,11 @@ }, "data": [ { + "line": { + "color": "#0072B2", + "dash": "solid", + "width": 2.2 + }, "name": "Cabin (Cold Soak / Cold Ambient)", "type": "scatter", "x": { @@ -1418,6 +1468,11 @@ "yaxis": "y" }, { + "line": { + "color": "#0072B2", + "dash": "solid", + "width": 2.2 + }, "name": "RES (Cold Soak / Cold Ambient)", "type": "scatter", "x": { @@ -1432,6 +1487,11 @@ "yaxis": "y2" }, { + "line": { + "color": "#0072B2", + "dash": "solid", + "width": 2.2 + }, "name": "FC (Cold Soak / Cold Ambient)", "type": "scatter", "x": { @@ -1446,6 +1506,11 @@ "yaxis": "y3" }, { + "line": { + "color": "#0072B2", + "dash": "solid", + "width": 2 + }, "name": "Speed (Cold Soak / Cold Ambient)", "type": "scatter", "x": { @@ -1461,10 +1526,12 @@ }, { "line": { - "dash": "dash" + "color": "#0072B2", + "dash": "longdash", + "width": 1.6 }, "name": "Ambient (Cold Soak / Cold Ambient)", - "opacity": 0.55, + "opacity": 0.5, "type": "scatter", "x": { "bdata": 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@@ -2578,28 +2689,61 @@ " ),\n", ")\n", "\n", + "scenario_palette = [\"#0072B2\", \"#D55E00\", \"#009E73\", \"#CC79A7\", \"#E69F00\", \"#000000\"]\n", + "scenario_dash_cycle = [\"solid\", \"dash\", \"dot\", \"dashdot\", \"longdash\", \"longdashdot\"]\n", + "scenario_colors = {\n", + " name: scenario_palette[idx % len(scenario_palette)]\n", + " for idx, name in enumerate(results.keys())\n", + "}\n", + "scenario_dashes = {\n", + " name: scenario_dash_cycle[idx % len(scenario_dash_cycle)]\n", + " for idx, name in enumerate(results.keys())\n", + "}\n", + "\n", "# Plot cabin, battery, fuel-converter temperatures, and achieved speed for each scenario.\n", "for name, r in results.items():\n", " df = r[\"df\"]\n", " t = df[TIME_COL]\n", + " scenario_color = scenario_colors[name]\n", + " scenario_dash = scenario_dashes[name]\n", "\n", " fig_t.add_trace(\n", - " go.Scatter(x=t, y=df[CABIN_TEMP_COL] - KELVIN_OFFSET, name=f\"Cabin ({name})\"),\n", + " go.Scatter(\n", + " x=t,\n", + " y=df[CABIN_TEMP_COL] - KELVIN_OFFSET,\n", + " name=f\"Cabin ({name})\",\n", + " line={\"color\": scenario_color, \"dash\": scenario_dash, \"width\": 2.2},\n", + " ),\n", " row=1,\n", " col=1,\n", " )\n", " fig_t.add_trace(\n", - " go.Scatter(x=t, y=df[RES_TEMP_COL] - KELVIN_OFFSET, name=f\"RES ({name})\"),\n", + " go.Scatter(\n", + " x=t,\n", + " y=df[RES_TEMP_COL] - KELVIN_OFFSET,\n", + " name=f\"RES ({name})\",\n", + " line={\"color\": scenario_color, \"dash\": scenario_dash, \"width\": 2.2},\n", + " ),\n", " row=2,\n", " col=1,\n", " )\n", " fig_t.add_trace(\n", - " go.Scatter(x=t, y=df[FC_TEMP_COL] - KELVIN_OFFSET, name=f\"FC ({name})\"),\n", + " go.Scatter(\n", + " x=t,\n", + " y=df[FC_TEMP_COL] - KELVIN_OFFSET,\n", + " name=f\"FC ({name})\",\n", + " line={\"color\": scenario_color, \"dash\": scenario_dash, \"width\": 2.2},\n", + " ),\n", " row=3,\n", " col=1,\n", " )\n", " fig_t.add_trace(\n", - " go.Scatter(x=t, y=df[SPEED_COL], name=f\"Speed ({name})\"),\n", + " go.Scatter(\n", + " x=t,\n", + " y=df[SPEED_COL],\n", + " name=f\"Speed ({name})\",\n", + " line={\"color\": scenario_color, \"dash\": scenario_dash, \"width\": 2.0},\n", + " ),\n", " row=4,\n", " col=1,\n", " )\n", @@ -2609,8 +2753,8 @@ " x=t,\n", " y=df[AMBIENT_TEMP_COL] - KELVIN_OFFSET,\n", " name=f\"Ambient ({name})\",\n", - " line={\"dash\": \"dash\"},\n", - " opacity=0.55,\n", + " line={\"dash\": \"longdash\", \"color\": scenario_color, \"width\": 1.6},\n", + " opacity=0.5,\n", " ),\n", " row=1,\n", " col=1,\n", diff --git a/docs/content/user-guide/running-simulations/simdrive.ipynb b/docs/content/user-guide/running-simulations/simdrive.ipynb index 2fbcafe83..315ec8290 100644 --- a/docs/content/user-guide/running-simulations/simdrive.ipynb +++ b/docs/content/user-guide/running-simulations/simdrive.ipynb @@ -18,7 +18,7 @@ }, { "cell_type": "code", - "execution_count": 79, + "execution_count": 89, "id": "2f32cae5", "metadata": {}, "outputs": [], @@ -42,7 +42,7 @@ }, { "cell_type": "code", - "execution_count": 80, + "execution_count": 90, "id": "ba374bb3", "metadata": {}, "outputs": [ @@ -89,7 +89,7 @@ }, { "cell_type": "code", - "execution_count": 81, + "execution_count": 91, "id": "7ad2067d", "metadata": {}, "outputs": [ @@ -128,7 +128,7 @@ }, { "cell_type": "code", - "execution_count": 82, + "execution_count": 92, "id": "428b2bf1", "metadata": {}, "outputs": [ @@ -161,7 +161,7 @@ }, { "cell_type": "code", - "execution_count": 83, + "execution_count": 93, "id": "2865d686", "metadata": {}, "outputs": [ @@ -174,6 +174,7 @@ "data": [ { "line": { + "color": "#4D4D4D", "dash": "dash", "width": 4 }, @@ -189,6 +190,9 @@ } }, { + "line": { + "color": "#0072B2" + }, "name": "Achieved", "type": "scatter", "x": { @@ -1001,17 +1005,21 @@ "source": [ "import plotly.graph_objects as go\n", "\n", + "TARGET_COLOR = \"#4D4D4D\"\n", + "ACHIEVED_COLOR = \"#0072B2\"\n", + "\n", "fig = go.Figure()\n", "fig.add_trace(go.Scatter(\n", " x=df[\"cyc.time_seconds\"],\n", " y=df[\"cyc.speed_meters_per_second\"],\n", " name=\"Target\",\n", - " line={\"dash\": \"dash\", \"width\": 4},\n", + " line={\"dash\": \"dash\", \"width\": 4, \"color\": TARGET_COLOR},\n", "))\n", "fig.add_trace(go.Scatter(\n", " x=df[\"cyc.time_seconds\"],\n", " y=df[\"veh.history.speed_ach_meters_per_second\"],\n", " name=\"Achieved\",\n", + " line={\"color\": ACHIEVED_COLOR},\n", "))\n", "fig.update_layout(\n", " xaxis_title=\"Time [s]\",\n", @@ -1023,7 +1031,7 @@ }, { "cell_type": "code", - "execution_count": 84, + "execution_count": 94, "id": "72b276d4", "metadata": {}, "outputs": [ @@ -1033,7 +1041,7 @@ "True" ] }, - "execution_count": 84, + "execution_count": 94, "metadata": {}, "output_type": "execute_result" } @@ -1064,7 +1072,7 @@ }, { "cell_type": "code", - "execution_count": 85, + "execution_count": 95, "id": "24f077c6", "metadata": {}, "outputs": [ @@ -1120,7 +1128,7 @@ }, { "cell_type": "code", - "execution_count": 86, + "execution_count": 96, "id": "40d9148e", "metadata": {}, "outputs": [ @@ -1156,7 +1164,7 @@ }, { "cell_type": "code", - "execution_count": 87, + "execution_count": 97, "id": "9e7122aa", "metadata": {}, "outputs": [ @@ -1218,7 +1226,7 @@ "[0 rows x 56 columns]" ] }, - "execution_count": 87, + "execution_count": 97, "metadata": {}, "output_type": "execute_result" } @@ -1247,7 +1255,7 @@ }, { "cell_type": "code", - "execution_count": 88, + "execution_count": 98, "id": "c96b0299", "metadata": {}, "outputs": [ diff --git a/docs/content/user-guide/running-simulations/trace-miss.ipynb b/docs/content/user-guide/running-simulations/trace-miss.ipynb index 9760410a4..413ba9294 100644 --- a/docs/content/user-guide/running-simulations/trace-miss.ipynb +++ b/docs/content/user-guide/running-simulations/trace-miss.ipynb @@ -14,7 +14,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 46, "id": "ae54eedd", "metadata": {}, "outputs": [], @@ -37,7 +37,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 47, "id": "36ae23ad", "metadata": {}, "outputs": [], @@ -82,7 +82,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 48, "id": "4a8c48f0", "metadata": {}, "outputs": [ @@ -117,7 +117,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 49, "id": "ffb929d7", "metadata": {}, "outputs": [ @@ -155,7 +155,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 50, "id": "25486c49", "metadata": {}, "outputs": [ @@ -201,7 +201,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 51, "id": "a9180a23", "metadata": {}, "outputs": [ @@ -239,7 +239,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 52, "id": "5a5a5319", "metadata": {}, "outputs": [ @@ -252,7 +252,7 @@ "data": [ { "line": { - "color": "black", + "color": "#4D4D4D", "dash": "dash", "width": 2 }, @@ -270,7 +270,7 @@ }, { "line": { - "color": "orange" + "color": "#56B4E9" }, "mode": "lines", "name": "Allow", @@ -286,7 +286,7 @@ }, { "line": { - "color": "blue" + "color": "#0072B2" }, "mode": "lines", "name": "AllowChecked", @@ -302,7 +302,7 @@ }, { "line": { - "color": "green" + "color": "#009E73" }, "mode": "lines", "name": "Correct", @@ -1118,6 +1118,13 @@ "source": [ "fig = go.Figure()\n", "\n", + "TRACE_COLORS = {\n", + " \"Target\": \"#4D4D4D\",\n", + " \"Allow\": \"#56B4E9\",\n", + " \"AllowChecked\": \"#0072B2\",\n", + " \"Correct\": \"#009E73\",\n", + "}\n", + "\n", "# Get target distance from cycle (convert time/speed to distance)\n", "cyc_dict_py = cyc.to_pydict()\n", "cyc_time = np.array(cyc_dict_py[\"time_seconds\"])\n", @@ -1128,7 +1135,7 @@ "fig.add_trace(go.Scatter(\n", " x=cyc_time, y=cyc_speed,\n", " name=\"Target\", mode=\"lines\",\n", - " line={\"dash\": \"dash\", \"width\": 2, \"color\": \"black\"}\n", + " line={\"dash\": \"dash\", \"width\": 2, \"color\": TRACE_COLORS[\"Target\"]}\n", "))\n", "\n", "# Allow (permissive)\n", @@ -1136,7 +1143,7 @@ " x=df_allow[\"cyc.time_seconds\"],\n", " y=df_allow[\"veh.history.speed_ach_meters_per_second\"],\n", " name=\"Allow\", mode=\"lines\",\n", - " line={\"color\": \"orange\"}\n", + " line={\"color\": TRACE_COLORS[\"Allow\"]}\n", "))\n", "\n", "# AllowChecked (with tolerances)\n", @@ -1144,7 +1151,7 @@ " x=df_checked[\"cyc.time_seconds\"],\n", " y=df_checked[\"veh.history.speed_ach_meters_per_second\"],\n", " name=\"AllowChecked\", mode=\"lines\",\n", - " line={\"color\": \"blue\"}\n", + " line={\"color\": TRACE_COLORS[\"AllowChecked\"]}\n", "))\n", "\n", "# Correct (adaptive)\n", @@ -1152,7 +1159,7 @@ " x=df_correct[\"cyc.time_seconds\"],\n", " y=df_correct[\"veh.history.speed_ach_meters_per_second\"],\n", " name=\"Correct\", mode=\"lines\",\n", - " line={\"color\": \"green\"}\n", + " line={\"color\": TRACE_COLORS[\"Correct\"]}\n", "))\n", "\n", "fig.update_layout(\n", @@ -1175,7 +1182,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 53, "id": "387b8071", "metadata": {}, "outputs": [ @@ -1188,7 +1195,7 @@ "data": [ { "line": { - "color": "black", + "color": "#4D4D4D", "dash": "dash", "width": 2 }, @@ -1206,7 +1213,7 @@ }, { "line": { - "color": "orange" + "color": "#56B4E9" }, "mode": "lines", "name": "Allow", @@ -1222,7 +1229,7 @@ }, { "line": { - "color": "blue" + "color": "#0072B2" }, "mode": "lines", "name": "AllowChecked", @@ -1238,7 +1245,7 @@ }, { "line": { - "color": "green" + "color": "#009E73" }, "mode": "lines", "name": "Correct", @@ -2058,7 +2065,7 @@ "fig_time.add_trace(go.Scatter(\n", " x=cyc_time, y=cyc_dist,\n", " name=\"Target\", mode=\"lines\",\n", - " line={\"dash\": \"dash\", \"width\": 2, \"color\": \"black\"}\n", + " line={\"dash\": \"dash\", \"width\": 2, \"color\": TRACE_COLORS[\"Target\"]}\n", "))\n", "\n", "# Allow (permissive)\n", @@ -2066,7 +2073,7 @@ " x=df_allow[\"cyc.time_seconds\"],\n", " y=df_allow[\"veh.history.dist_meters\"],\n", " name=\"Allow\", mode=\"lines\",\n", - " line={\"color\": \"orange\"}\n", + " line={\"color\": TRACE_COLORS[\"Allow\"]}\n", "))\n", "\n", "# AllowChecked (with tolerances)\n", @@ -2074,7 +2081,7 @@ " x=df_checked[\"cyc.time_seconds\"],\n", " y=df_checked[\"veh.history.dist_meters\"],\n", " name=\"AllowChecked\", mode=\"lines\",\n", - " line={\"color\": \"blue\"}\n", + " line={\"color\": TRACE_COLORS[\"AllowChecked\"]}\n", "))\n", "\n", "# Correct (adaptive)\n", @@ -2082,7 +2089,7 @@ " x=df_correct[\"cyc.time_seconds\"],\n", " y=df_correct[\"veh.history.dist_meters\"],\n", " name=\"Correct\", mode=\"lines\",\n", - " line={\"color\": \"green\"}\n", + " line={\"color\": TRACE_COLORS[\"Correct\"]}\n", "))\n", "\n", "fig_time.update_layout(\n", @@ -2105,7 +2112,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 54, "id": "d96e63ef", "metadata": {}, "outputs": [ From 8a8d36e4b7588ceeb67decf5fd1b2d5527e0a782 Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Tue, 14 Jul 2026 20:35:39 -0600 Subject: [PATCH 33/67] fix bottom of getting started demo --- docs/content/getting-started.ipynb | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/docs/content/getting-started.ipynb b/docs/content/getting-started.ipynb index 029a738c5..6239627ed 100644 --- a/docs/content/getting-started.ipynb +++ b/docs/content/getting-started.ipynb @@ -3788,10 +3788,12 @@ "source": [ "## Where to Go Next\n", "\n", - "- [](user-guide/drive-cycles/drive-cycle.ipynb) covers loading, building,\n", - " and editing drive cycles, including road grade.\n", + "Check out the User Guide for a thorough description of FASTSim:\n", + "\n", "- [](user-guide/vehicle-models/vehicle.md) describes the vehicle model\n", " hierarchy in more depth.\n", + "- [](user-guide/drive-cycles/drive-cycle.ipynb) covers loading, building,\n", + " and editing drive cycles, including road grade and other inputs.\n", "- [](user-guide/running-simulations/simdrive.ipynb) explains the\n", " simulation object and its parameters." ] From d77e2539c9514010c2d0846e9d26398c86215c2e Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Thu, 18 Jun 2026 14:23:01 -0600 Subject: [PATCH 34/67] commit to create PR --- fastsim-core/src/vehicle/fastsim-2_2012_Ford_Fusion.yaml | 1 + 1 file changed, 1 insertion(+) diff --git a/fastsim-core/src/vehicle/fastsim-2_2012_Ford_Fusion.yaml b/fastsim-core/src/vehicle/fastsim-2_2012_Ford_Fusion.yaml index cdca54c91..f5a4a16ff 100644 --- a/fastsim-core/src/vehicle/fastsim-2_2012_Ford_Fusion.yaml +++ b/fastsim-core/src/vehicle/fastsim-2_2012_Ford_Fusion.yaml @@ -1,4 +1,5 @@ --- +// TODO: move this and similar files scenario_name: 2012 Ford Fusion selection: 0 veh_year: 2012 From 69fec9ff4632c50d4206c9726c8c4a885378a2a1 Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Mon, 6 Jul 2026 11:21:58 -0600 Subject: [PATCH 35/67] introduce make, model, fastsim version fields. change year to Option\` and relevant parsing changes --- Cargo.lock | 29 ++- fastsim-core/Cargo.toml | 1 + fastsim-core/src/lib.rs | 3 + fastsim-core/src/simdrivelabel/mod.rs | 19 +- fastsim-core/src/vehicle/vehicle_model.rs | 204 ++++++++++-------- .../vehicle_model/fastsim2_interface.rs | 32 ++- 6 files changed, 169 insertions(+), 119 deletions(-) diff --git a/Cargo.lock b/Cargo.lock index 3fc5e2b92..6b25519d8 100644 --- a/Cargo.lock +++ b/Cargo.lock @@ -601,6 +601,7 @@ dependencies = [ "readonly", "regex", "rmp-serde", + "semver", "serde", "serde-this-or-that", "serde_json", @@ -1714,12 +1715,23 @@ dependencies = [ "windows-sys 0.59.0", ] +[[package]] +name = "semver" +version = "1.0.28" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "8a7852d02fc848982e0c167ef163aaff9cd91dc640ba85e263cb1ce46fae51cd" +dependencies = [ + "serde", + "serde_core", +] + [[package]] name = "serde" -version = "1.0.219" +version = "1.0.228" source = "registry+https://github.com/rust-lang/crates.io-index" -checksum = "5f0e2c6ed6606019b4e29e69dbaba95b11854410e5347d525002456dbbb786b6" +checksum = "9a8e94ea7f378bd32cbbd37198a4a91436180c5bb472411e48b5ec2e2124ae9e" dependencies = [ + "serde_core", "serde_derive", ] @@ -1732,11 +1744,20 @@ dependencies = [ "serde", ] +[[package]] +name = "serde_core" +version = "1.0.228" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "41d385c7d4ca58e59fc732af25c3983b67ac852c1a25000afe1175de458b67ad" +dependencies = [ + "serde_derive", +] + [[package]] name = "serde_derive" -version = "1.0.219" +version = "1.0.228" source = "registry+https://github.com/rust-lang/crates.io-index" -checksum = "5b0276cf7f2c73365f7157c8123c21cd9a50fbbd844757af28ca1f5925fc2a00" +checksum = "d540f220d3187173da220f885ab66608367b6574e925011a9353e4badda91d79" dependencies = [ "proc-macro2", "quote", diff --git a/fastsim-core/Cargo.toml b/fastsim-core/Cargo.toml index e1ea10dfa..6675380a0 100644 --- a/fastsim-core/Cargo.toml +++ b/fastsim-core/Cargo.toml @@ -56,6 +56,7 @@ approx = "0.5.1" thiserror = { workspace = true } typenum = "1.18.0" num-traits = "0.2.19" +semver = { version = "1.0.28", features = ["serde"] } [dev-dependencies] pretty_assertions = "1.4.1" diff --git a/fastsim-core/src/lib.rs b/fastsim-core/src/lib.rs index 4d3661e89..b966d7104 100755 --- a/fastsim-core/src/lib.rs +++ b/fastsim-core/src/lib.rs @@ -36,6 +36,9 @@ pub mod uc; pub mod utils; pub mod vehicle; +/// Current version of FASTSim as specified in Cargo.toml +pub const FASTSIM_VERSION: &str = env!("CARGO_PKG_VERSION"); + /// List enabled features #[cfg_attr(feature = "pyo3", imports::pyfunction)] pub fn enabled_features() -> Vec { diff --git a/fastsim-core/src/simdrivelabel/mod.rs b/fastsim-core/src/simdrivelabel/mod.rs index e25f062f7..c0f6266c8 100644 --- a/fastsim-core/src/simdrivelabel/mod.rs +++ b/fastsim-core/src/simdrivelabel/mod.rs @@ -17,6 +17,15 @@ fn first_grtr(arr: &[f64], cut: f64) -> Option { Some(arr.iter().position(|&x| x > cut).unwrap_or(len - 1)) // unwrap_or allows for default if not found } +fn parse_model_year_or_2017(veh_year: Option<&str>) -> u32 { + if let Some(parsed_year) = veh_year.and_then(|year| year.parse::().ok()) { + parsed_year + } else { + eprintln!("Model year could not be parsed; using 2017 adjustment coefficients."); + 2017 + } +} + /// Get the 0 to 60 mph accelaration time from the given times and speeds. pub fn get_0_to_60_time_from_accel_data(accel_data: &AccelData) -> anyhow::Result { // Check if vehicle reaches 60 mph @@ -1045,8 +1054,10 @@ pub fn run_label_simulations( })?; } + let veh_year = parse_model_year_or_2017(veh.year.as_deref()); + // find year-based adjustment parameters - let adj_params = if veh.year < 2017 { + let adj_params = if veh_year < 2017 { &phev_utilization_params.adj_coef_map["2008"] } else { // assume 2017 coefficients are valid @@ -1063,7 +1074,7 @@ pub fn run_label_simulations( if is_hev || is_conv { Ok(( SimulationDataForLabel::ConvOrHev { - veh_year: veh.year, + veh_year, udds_mpgge: sd["udds"].veh.mpg(fuel_props.energy_density)?, hwy_mpgge: sd["hwy"].veh.mpg(fuel_props.energy_density)?, }, @@ -1074,7 +1085,7 @@ pub fn run_label_simulations( let res_energy_capacity_kwh = bev.res.energy_capacity.get::(); Ok(( SimulationDataForLabel::Bev { - veh_year: veh.year, + veh_year, udds_kwh_per_mi: sd["udds"].veh.kwh_per_mi()?, hwy_kwh_per_mi: sd["hwy"].veh.kwh_per_mi()?, bev_energy_capacity_kwh: res_energy_capacity_kwh, @@ -1122,7 +1133,7 @@ pub fn run_label_simulations( sd.insert("hwy-cs", cs_hwy_sd.clone()); Ok(( SimulationDataForLabel::Phev { - veh_year: veh.year, + veh_year, info: PhevVehicleInfo { max_soc, min_soc, diff --git a/fastsim-core/src/vehicle/vehicle_model.rs b/fastsim-core/src/vehicle/vehicle_model.rs index 4b712e5c8..84ccf5752 100644 --- a/fastsim-core/src/vehicle/vehicle_model.rs +++ b/fastsim-core/src/vehicle/vehicle_model.rs @@ -5,6 +5,8 @@ use crate::{ }; pub mod fastsim2_interface; +use semver::Version; + /// Possible aux load power sources #[derive( Clone, Debug, Serialize, Deserialize, PartialEq, IsVariant, derive_more::From, TryInto, @@ -30,10 +32,17 @@ impl Init for AuxSource {} pub struct Vehicle { /// Vehicle name pub name: String, - /// Documentation (e.g. how this file was generated, calibration details)] + /// Minimum FASTSim version required + pub min_fastsim_version: Version, + /// Documentation (e.g. how this file was generated, calibration details) pub doc: Option, - /// Year manufactured - pub year: u32, + /// Vehicle year (e.g. 2020, 2025) + pub year: Option, + /// Vehicle make (e.g. Toyota, Ford) + pub make: Option, + /// Vehicle model (e.g. Camry, F-150) + pub model: Option, + #[has_state] /// type of vehicle powertrain including contained type-specific parameters and variables pub pt_type: PowertrainType, @@ -153,10 +162,10 @@ impl Vehicle { let save_interval = veh.save_interval().unwrap_or(Option::None); veh.pt_cntrl = ConvPowertrainControls::StopStart(Box::new(ConvStopStartControl::new( - Option::None, // fc_min_time_on - Option::None, // temp_fc_forced_on - Option::None, // temp_fc_allowed_off - Option::None, // time_delay_after_stop_until_fc_can_turn_off + None, // fc_min_time_on + None, // temp_fc_forced_on + None, // temp_fc_allowed_off + None, // time_delay_after_stop_until_fc_can_turn_off save_interval, )?)); } @@ -168,13 +177,13 @@ impl Vehicle { let save_interval = veh.save_interval().unwrap_or(Option::None); veh.pt_cntrl = HEVPowertrainControls::StopStart(Box::new(HEVStopStartControl::new( - Option::None, // fc_min_time_on - Option::None, // soc_fc_forced_on - Option::None, // frac_of_most_eff_pwr_to_run_fc - Option::None, // temp_fc_forced_on - Option::None, // temp_fc_allowed_off - Option::None, // time_delay_after_stop_until_fc_can_turn_off - Option::None, // em_can_regen + None, // fc_min_time_on + None, // soc_fc_forced_on + None, // frac_of_most_eff_pwr_to_run_fc + None, // temp_fc_forced_on + None, // temp_fc_allowed_off + None, // time_delay_after_stop_until_fc_can_turn_off + None, // em_can_regen save_interval, )?)); } @@ -200,18 +209,18 @@ impl Vehicle { HEVPowertrainControls::StopStart(_) => { hev.pt_cntrl = HEVPowertrainControls::RGWDB(Box::new( RESGreedyWithDynamicBuffers::new( - Option::None, // speed_soc_disch_buffer - Option::None, // speed_soc_disch_buffer_coeff - Option::None, // speed_soc_fc_on_buffer - Option::None, // speed_soc_fc_on_buffer_coeff - Option::None, // speed_soc_regen_buffer - Option::None, // speed_soc_regen_buffer_coeff - Option::None, // fc_min_time_on - Option::None, // speed_fc_forced_on - Option::None, // frac_pwr_demand_fc_forced_on - Option::None, // frac_of_most_eff_pwr_to_run_fc - Option::None, // temp_fc_forced_on - Option::None, // temp_fc_allowed_off + None, // speed_soc_disch_buffer + None, // speed_soc_disch_buffer_coeff + None, // speed_soc_fc_on_buffer + None, // speed_soc_fc_on_buffer_coeff + None, // speed_soc_regen_buffer + None, // speed_soc_regen_buffer_coeff + None, // fc_min_time_on + None, // speed_fc_forced_on + None, // frac_pwr_demand_fc_forced_on + None, // frac_of_most_eff_pwr_to_run_fc + None, // temp_fc_forced_on + None, // temp_fc_allowed_off save_interval, )?, )) @@ -252,7 +261,9 @@ impl Vehicle { pub fn new( name: String, doc: Option, - year: u32, + year: Option, + make: Option, + model: Option, pt_type: PowertrainType, chassis: Chassis, cabin: CabinOption, @@ -263,8 +274,11 @@ impl Vehicle { ) -> anyhow::Result { let mut veh = Self { name, + min_fastsim_version: Version::parse(crate::FASTSIM_VERSION)?, doc, year, + make, + model, pt_type, chassis, cabin, @@ -1210,13 +1224,13 @@ pub(crate) mod tests { 2000000.0 * uc::W, 1.1 * uc::S, 2305080000.0 * uc::J, - Option::None, - Option::None, + None, + None, )?; let fc = FuelConverter::new( FuelConverterThermalOption::None, // thrml - Option::None, // mass - Option::None, // specific_pwr + None, // mass + None, // specific_pwr 211088.0 * uc::W, // pwr_out_max 34604.59016393443 * uc::W, // pwr_out_max_init 6.1 * uc::S, // pwr_ramp_lag @@ -1245,21 +1259,21 @@ pub(crate) mod tests { )?, // eff_interp_from_pwr_out 0.4 * 211088.0 * uc::W, // pwr_for_peak_eff 0.0 * uc::W, // pwr_idle_fuel - Option::None, + None, )?; let tx = Transmission::new( - Option::None, // mass + None, // mass InterpolatorEnum::new_0d(0.95), // eff_interp - Option::None, // save_interval + None, // save_interval )?; let pt_controls = { if with_conv_stop_start { let ctrl = ConvStopStartControl::new( - Option::None, // fc_min_time_on - Option::None, // temp_fc_forced_on - Option::None, // temp_fc_allowed_off - Option::None, // time_delay_after_stop_until_fc_can_turn_off - Option::None, // save_interval + None, // fc_min_time_on + None, // temp_fc_forced_on + None, // temp_fc_allowed_off + None, // time_delay_after_stop_until_fc_can_turn_off + None, // save_interval ) .map_err(|err| { assert!( @@ -1278,13 +1292,13 @@ pub(crate) mod tests { with_dfco, // dfco_enabled 25.0 * uc::MPH, // minimum_dfco_speed -0.2 * uc::MPS2, // minimum_dfco_deceleration - Option::None, // save_interval + None, // save_interval )?; let conv = ConventionalVehicle::new( fs, // fs fc, // fc tx, // transmission - Option::None, // mass + None, // mass pt_controls, // powertrain control dfco_controls, // dfco_cntrl 1.0 * uc::R, // alt_eff @@ -1295,29 +1309,31 @@ pub(crate) mod tests { wheel_rr_coef: 0.0064798953284486704 * uc::R, wheel_inertia: 0.815 * uc::KGM2, num_wheels: 4, - wheel_radius: Option::Some(0.36865 * uc::M), - tire_code: Option::None, + wheel_radius: Some(0.36865 * uc::M), + tire_code: None, cg_height: 0.53 * uc::M, wheel_fric_coef: 0.8 * uc::R, drive_type: chassis::DriveTypes::FWD, drive_axle_weight_frac: 0.61 * uc::R, wheel_base: 3.08864 * uc::M, - mass: Option::None, - glider_mass: Option::None, - cargo_mass: Option::None, + mass: None, + glider_mass: None, + cargo_mass: None, }; let boxed_conv = Box::new(conv); let mut veh = Vehicle::new( String::from("2026 Chrysler Pacifica Select"), // name - Option::None, // doc - 2026, // year - PowertrainType::ConventionalVehicle(boxed_conv), // pt_type - chassis, // chassis - CabinOption::None, // cabin - HVACOption::None, // hvac - Option::Some(2154.564 * uc::KG), // mass - 700.0 * uc::W, // pwr_aux_base - Option::None, // save_interval + None, + Some(String::from("2026")), + Some(String::from("Chrysler")), + Some(String::from("Pacifica Select")), + PowertrainType::ConventionalVehicle(boxed_conv), + chassis, + CabinOption::None, + HVACOption::None, + Some(2154.564 * uc::KG), + 700.0 * uc::W, + None, )?; veh.set_save_interval(Option::Some(1))?; Ok(veh) @@ -1326,26 +1342,26 @@ pub(crate) mod tests { fn make_microhybrid_pacifica() -> anyhow::Result { let res = ReversibleEnergyStorage::new( RESThermalOption::None, // thrml - Option::None, // mass - Option::None, // specific_energy + None, // mass + None, // specific_energy 5.0 * uc::KW, // pwr_out_max 1.0 * uc::KWH, // energy_capacity EffInterp::Constant(Interp0D(0.9)), // eff_interp 0.0 * uc::R, // min_soc 1.0 * uc::R, // max_soc - Option::None, + None, )?; let fs = FuelStorage::new( 2000000.0 * uc::W, 1.1 * uc::S, 2305080000.0 * uc::J, - Option::None, - Option::None, + None, + None, )?; let fc = FuelConverter::new( FuelConverterThermalOption::None, // thrml - Option::None, // mass - Option::None, // specific_pwr + None, // mass + None, // specific_pwr 211088.0 * uc::W, // pwr_out_max 34604.59016393443 * uc::W, // pwr_out_max_init 6.1 * uc::S, // pwr_ramp_lag @@ -1374,7 +1390,7 @@ pub(crate) mod tests { )?, // eff_interp_from_pwr_out 0.4 * 211088.0 * uc::W, // pwr_for_peak_eff 0.0 * uc::W, // pwr_idle_fuel - Option::None, + None, )?; let em = ElectricMachine::new( InterpolatorEnum::new_1d( @@ -1383,26 +1399,26 @@ pub(crate) mod tests { strategy::Linear, Extrapolate::Error, )?, // eff_interp_achieved - Option::None, // eff_interp_at_max_input + None, // eff_interp_at_max_input 5.0 * uc::KW, // pwr_out_max - Option::None, // specific_pwr - Option::None, // mass - Option::None, // save_interval + None, // specific_pwr + None, // mass + None, // save_interval )?; let tx = Transmission::new( - Option::None, // mass + None, // mass InterpolatorEnum::new_0d(0.95), // eff_interp - Option::None, // save_interval + None, // save_interval )?; let ctrl = HEVStopStartControl::new( - Option::None, // fc_min_time_on - Option::None, // soc_fc_forced_on - Option::None, // frac_of_most_eff_pwr_to_run_fc - Option::None, // temp_fc_forced_on - Option::None, // temp_fc_allowed_off - Option::None, // time_delay_after_stop_until_fc_can_turn_off - Option::None, // em_can_regen - Option::None, // save_interval + None, // fc_min_time_on + None, // soc_fc_forced_on + None, // frac_of_most_eff_pwr_to_run_fc + None, // temp_fc_forced_on + None, // temp_fc_allowed_off + None, // time_delay_after_stop_until_fc_can_turn_off + None, // em_can_regen + None, // save_interval )?; let pt_ctrl = HEVPowertrainControls::StopStart(Box::new(ctrl)); let aux_ctrl = HEVAuxControls::AuxOnResPriority; @@ -1420,7 +1436,7 @@ pub(crate) mod tests { tx, // transmission pt_ctrl, // pt_cntrl aux_ctrl, // aux_cntrl - Option::None, // mass + None, // mass sim_params, // sim_params )?; let chassis = Chassis { @@ -1429,29 +1445,31 @@ pub(crate) mod tests { wheel_rr_coef: 0.0064798953284486704 * uc::R, wheel_inertia: 0.815 * uc::KGM2, num_wheels: 4, - wheel_radius: Option::Some(0.36865 * uc::M), - tire_code: Option::None, + wheel_radius: Some(0.36865 * uc::M), + tire_code: None, cg_height: 0.53 * uc::M, wheel_fric_coef: 0.8 * uc::R, drive_type: chassis::DriveTypes::FWD, drive_axle_weight_frac: 0.61 * uc::R, wheel_base: 3.08864 * uc::M, - mass: Option::None, - glider_mass: Option::None, - cargo_mass: Option::None, + mass: None, + glider_mass: None, + cargo_mass: None, }; let boxed_hev = Box::new(hev); let mut veh = Vehicle::new( - String::from("2026 Chrysler Pacifica Select (uHEV Test)"), // name - Option::None, // doc - 2026, // year - PowertrainType::HybridElectricVehicle(boxed_hev), // pt_type - chassis, // chassis - CabinOption::None, // cabin - HVACOption::None, // hvac - Option::Some(2154.564 * uc::KG), // mass - 700.0 * uc::W, // pwr_aux_base - Option::None, // save_interval + String::from("2026 Chrysler Pacifica Select (uHEV Test)"), + None, + Some(String::from("2026")), + Some(String::from("Chrysler")), + Some(String::from("Pacifica Select")), + PowertrainType::HybridElectricVehicle(boxed_hev), + chassis, + CabinOption::None, + HVACOption::None, + Some(2154.564 * uc::KG), + 700.0 * uc::W, + None, )?; veh.set_save_interval(Option::Some(1))?; Ok(veh) diff --git a/fastsim-core/src/vehicle/vehicle_model/fastsim2_interface.rs b/fastsim-core/src/vehicle/vehicle_model/fastsim2_interface.rs index d231e8a35..69db5cf7e 100644 --- a/fastsim-core/src/vehicle/vehicle_model/fastsim2_interface.rs +++ b/fastsim-core/src/vehicle/vehicle_model/fastsim2_interface.rs @@ -1,5 +1,5 @@ use super::*; -use crate::vehicle::powertrain::reversible_energy_storage::EffInterp as ResEffInterp; +use crate::{vehicle::powertrain::reversible_energy_storage::EffInterp as ResEffInterp}; impl TryFrom for Vehicle { type Error = anyhow::Error; @@ -11,24 +11,20 @@ impl TryFrom for Vehicle { let save_interval = Some(1); let pt_type = PowertrainType::try_from(&f2veh).with_context(|| anyhow!(format_dbg!()))?; - let mut f3veh = Self { - name: f2veh.scenario_name.clone(), - year: f2veh.veh_year, - doc: f2veh.doc.clone(), + Ok(Vehicle::new( + f2veh.scenario_name.clone(), + f2veh.doc.clone(), + Some(f2veh.veh_year.to_string()), + None, + None, pt_type, - chassis: Chassis::try_from(&f2veh).with_context(|| format_dbg!())?, - cabin: Default::default(), - hvac: Default::default(), - pwr_aux_base: f2veh.aux_kw * uc::KW, - state: Default::default(), + Chassis::try_from(&f2veh).with_context(|| format_dbg!())?, + Default::default(), + Default::default(), + Some(f2veh.veh_kg * uc::KG), + f2veh.aux_kw * uc::KW, save_interval, - history: Default::default(), - mass: Some(f2veh.veh_kg * uc::KG), - }; - f3veh.expunge_mass_fields(); - f3veh.init().with_context(|| anyhow!(format_dbg!()))?; - - Ok(f3veh) + )?) } } @@ -391,7 +387,7 @@ impl Vehicle { PowertrainType::PlugInHybridElectricVehicle(_) => "PHEV".into(), PowertrainType::BatteryElectricVehicle(_) => "BEV".into(), }, - veh_year: self.year, + veh_year: self.year.as_ref().map(|y| y.parse::()).transpose()?.with_context(|| anyhow!(format_dbg!()))?, wheel_base_m: self.chassis.wheel_base.get::(), wheel_base_m_doc: None, wheel_coef_of_fric: self.chassis.wheel_fric_coef.get::(), From 7937d33d7dd9ccaf49b505f46dcacb92bc44e69e Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Mon, 6 Jul 2026 11:53:03 -0600 Subject: [PATCH 36/67] cargo fmt, plumbed up version checking logic, updated cal_and_val vehicle files --- .../f3-vehicles/2010 Mazda 3 i-Stop.yaml | 11 ++- cal_and_val/f3-vehicles/2012 Ford Focus.yaml | 11 ++- cal_and_val/f3-vehicles/2012 Ford Fusion.yaml | 11 ++- .../f3-vehicles/2016 AUDI A3 4cyl 2WD.yaml | 11 ++- .../f3-vehicles/2016 BMW 328d 4cyl 2WD.yaml | 11 ++- .../f3-vehicles/2016 BMW i3 REx PHEV.yaml | 9 +- .../2016 CHEVROLET Malibu 4cyl 2WD.yaml | 11 ++- .../f3-vehicles/2016 CHEVROLET Spark EV.yaml | 9 +- .../f3-vehicles/2016 CHEVROLET Volt.yaml | 9 +- .../f3-vehicles/2016 FORD C-MAX (PHEV).yaml | 9 +- .../f3-vehicles/2016 FORD C-MAX HEV.yaml | 9 +- .../2016 FORD Escape 4cyl 2WD.yaml | 11 ++- .../2016 FORD Explorer 4cyl 2WD.yaml | 11 ++- .../2016 HYUNDAI Elantra 4cyl 2WD.yaml | 11 ++- .../f3-vehicles/2016 HYUNDAI Sonata PHEV.yaml | 9 +- .../2016 Hyundai Tucson Fuel Cell.yaml | 9 +- .../f3-vehicles/2016 KIA Optima Hybrid.yaml | 9 +- cal_and_val/f3-vehicles/2016 Leaf 24 kWh.yaml | 9 +- .../f3-vehicles/2016 MITSUBISHI i-MiEV.yaml | 9 +- .../f3-vehicles/2016 Nissan Leaf 30 kWh.yaml | 9 +- .../f3-vehicles/2016 TESLA Model S60 2WD.yaml | 9 +- .../2016 TOYOTA Camry 4cyl 2WD.yaml | 11 ++- .../2016 TOYOTA Corolla 4cyl 2WD.yaml | 11 ++- .../2016 TOYOTA Highlander Hybrid.yaml | 9 +- .../2016 Toyota Prius Two FWD.yaml | 9 +- .../f3-vehicles/2017 CHEVROLET Bolt.yaml | 9 +- .../f3-vehicles/2017 Maruti Dzire VDI.yaml | 11 ++- cal_and_val/f3-vehicles/2017 Prius Prime.yaml | 9 +- .../2017 Toyota Highlander 3.5 L.yaml | 11 ++- .../2020 Chevrolet Colorado 2WD Diesel.yaml | 13 +-- .../2020 Hero Splendor+ 100cc.yaml | 11 ++- .../f3-vehicles/2020 VW Golf 1.5TSI.yaml | 11 ++- .../f3-vehicles/2020 VW Golf 2.0TDI.yaml | 11 ++- .../f3-vehicles/2021 BMW iX xDrive40.yaml | 9 +- cal_and_val/f3-vehicles/2021 Cupra Born.yaml | 9 +- .../2021 Fiat Panda Mild Hybrid.yaml | 11 ++- .../f3-vehicles/2021 Honda N-Box G.yaml | 11 ++- cal_and_val/f3-vehicles/2021 Peugot 3008.yaml | 11 ++- .../2022 Ford F-150 Lightning 4WD.yaml | 9 +- .../2022 MINI Cooper SE Hardtop 2 door.yaml | 9 +- .../2022 Renault Megane E-Tech.yaml | 9 +- .../2022 Renault Zoe ZE50 R135.yaml | 9 +- .../f3-vehicles/2022 Tesla Model 3 RWD.yaml | 9 +- .../f3-vehicles/2022 Tesla Model Y RWD.yaml | 9 +- .../2022 Toyota RAV4 Hybrid LE.yaml | 9 +- .../2022 Toyota Yaris Hybrid Mid.yaml | 9 +- .../2022 Volvo XC40 Recharge twin.yaml | 9 +- .../2023 Mitsubishi Pajero Sport.yaml | 11 ++- ...2023 Polestar 2 Long range Dual motor.yaml | 9 +- .../f3-vehicles/2023 Volvo C40 Recharge.yaml | 9 +- .../f3-vehicles/2024 BYD Dolphin Active.yaml | 9 +- .../f3-vehicles/2024 Toyota Vios 1.5 G.yaml | 11 ++- .../f3-vehicles/2024 VinFast VF e34.yaml | 9 +- .../2024 Volkswagen Polo 1.0 MPI.yaml | 11 ++- cal_and_val/f3-vehicles/BYD ATTO 3.yaml | 9 +- cal_and_val/f3-vehicles/Bajaj Boxer 150.yaml | 11 ++- .../Class 4 Truck (Isuzu NPR HD).yaml | 11 ++- cal_and_val/f3-vehicles/Line Haul Conv.yaml | 11 ++- .../f3-vehicles/Maruti Swift 4cyl 2WD.yaml | 11 ++- cal_and_val/f3-vehicles/Nissan Navara.yaml | 11 ++- .../Regional Delivery Class 8 Truck.yaml | 11 ++- .../f3-vehicles/Renault Clio IV diesel.yaml | 11 ++- .../Renault Megane 1.5 dCi Authentique.yaml | 11 ++- .../Toyota Corolla Cross Hybrid.yaml | 9 +- .../f3-vehicles/Toyota Etios Liva diesel.yaml | 11 ++- .../Toyota Hilux Double Cab 4WD.yaml | 11 ++- cal_and_val/f3-vehicles/Toyota Mirai.yaml | 9 +- .../resources/vehicles/2012_Ford_Fusion.yaml | 11 ++- .../vehicles/2016_TOYOTA_Prius_Two.yaml | 9 +- .../vehicles/2022_Renault_Zoe_ZE50_R135.yaml | 9 +- fastsim-core/src/lib.rs | 15 +++- fastsim-core/src/vehicle/vehicle_model.rs | 82 +++++++++++++------ .../vehicle_model/fastsim2_interface.rs | 9 +- 73 files changed, 531 insertions(+), 275 deletions(-) diff --git a/cal_and_val/f3-vehicles/2010 Mazda 3 i-Stop.yaml b/cal_and_val/f3-vehicles/2010 Mazda 3 i-Stop.yaml index 9d869b1d8..e940dfddf 100644 --- a/cal_and_val/f3-vehicles/2010 Mazda 3 i-Stop.yaml +++ b/cal_and_val/f3-vehicles/2010 Mazda 3 i-Stop.yaml @@ -1,14 +1,17 @@ --- name: 2010 Mazda 3 i-Stop +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2010 +year: "2010" +make: ~ +model: ~ pt_type: Conv: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.0 energy_capacity_joules: 1587600000.0 - specific_energy_joules_per_kilogram: ~ + specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ fc: thrml: None @@ -141,8 +144,8 @@ chassis: drive_axle_weight_frac: 0.61 wheel_base_meters: 2.6 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 1045.636 + cargo_mass_kilograms: 136.0 cabin: None hvac: None mass_kilograms: 1473.9 diff --git a/cal_and_val/f3-vehicles/2012 Ford Focus.yaml b/cal_and_val/f3-vehicles/2012 Ford Focus.yaml index 2c839f3bd..65b52e393 100644 --- a/cal_and_val/f3-vehicles/2012 Ford Focus.yaml +++ b/cal_and_val/f3-vehicles/2012 Ford Focus.yaml @@ -1,14 +1,17 @@ --- name: 2012 Ford Focus +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2012 +year: "2012" +make: ~ +model: ~ pt_type: Conv: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.0 energy_capacity_joules: 1587600000.0 - specific_energy_joules_per_kilogram: ~ + specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ fc: thrml: None @@ -141,8 +144,8 @@ chassis: drive_axle_weight_frac: 0.61 wheel_base_meters: 2.6 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 1045.636 + cargo_mass_kilograms: 136.0 cabin: None hvac: None mass_kilograms: 1473.9 diff --git a/cal_and_val/f3-vehicles/2012 Ford Fusion.yaml b/cal_and_val/f3-vehicles/2012 Ford Fusion.yaml index 5d8d5ada6..2ba30c714 100644 --- a/cal_and_val/f3-vehicles/2012 Ford Fusion.yaml +++ b/cal_and_val/f3-vehicles/2012 Ford Fusion.yaml @@ -1,14 +1,17 @@ --- name: 2012 Ford Fusion +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2012 +year: "2012" +make: ~ +model: ~ pt_type: Conv: fs: pwr_out_max_watts: 1000000.0 pwr_ramp_lag_seconds: 1.0 energy_capacity_joules: 2124000000.0 - specific_energy_joules_per_kilogram: ~ + specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ fc: thrml: None @@ -141,8 +144,8 @@ chassis: drive_axle_weight_frac: 0.59 wheel_base_meters: 2.72 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 791.0702892 + cargo_mass_kilograms: 136.0 cabin: None hvac: None mass_kilograms: 1644.2724500334996 diff --git a/cal_and_val/f3-vehicles/2016 AUDI A3 4cyl 2WD.yaml b/cal_and_val/f3-vehicles/2016 AUDI A3 4cyl 2WD.yaml index 0abfe955f..f22de4f5a 100644 --- a/cal_and_val/f3-vehicles/2016 AUDI A3 4cyl 2WD.yaml +++ b/cal_and_val/f3-vehicles/2016 AUDI A3 4cyl 2WD.yaml @@ -1,14 +1,17 @@ --- name: 2016 AUDI A3 4cyl 2WD +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2016 +year: "2016" +make: ~ +model: ~ pt_type: Conv: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.0 energy_capacity_joules: 1587600000.0 - specific_energy_joules_per_kilogram: ~ + specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ fc: thrml: None @@ -141,8 +144,8 @@ chassis: drive_axle_weight_frac: 0.59 wheel_base_meters: 2.6 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 1089.051 + cargo_mass_kilograms: 136.0 cabin: None hvac: None mass_kilograms: 1606.0927171041076 diff --git a/cal_and_val/f3-vehicles/2016 BMW 328d 4cyl 2WD.yaml b/cal_and_val/f3-vehicles/2016 BMW 328d 4cyl 2WD.yaml index d034ff92a..8887197ff 100644 --- a/cal_and_val/f3-vehicles/2016 BMW 328d 4cyl 2WD.yaml +++ b/cal_and_val/f3-vehicles/2016 BMW 328d 4cyl 2WD.yaml @@ -1,14 +1,17 @@ --- name: 2016 BMW 328d 4cyl 2WD +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2016 +year: "2016" +make: ~ +model: ~ pt_type: Conv: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.0 energy_capacity_joules: 1803600000.0 - specific_energy_joules_per_kilogram: ~ + specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ fc: thrml: None @@ -141,8 +144,8 @@ chassis: drive_axle_weight_frac: 0.59 wheel_base_meters: 2.6 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 1409.717 + cargo_mass_kilograms: 136.0 cabin: None hvac: None mass_kilograms: 1950.3695157008785 diff --git a/cal_and_val/f3-vehicles/2016 BMW i3 REx PHEV.yaml b/cal_and_val/f3-vehicles/2016 BMW i3 REx PHEV.yaml index fe259f2d9..6dd614796 100644 --- a/cal_and_val/f3-vehicles/2016 BMW i3 REx PHEV.yaml +++ b/cal_and_val/f3-vehicles/2016 BMW i3 REx PHEV.yaml @@ -1,7 +1,10 @@ --- name: 2016 BMW i3 REx PHEV +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2016 +year: "2016" +make: ~ +model: ~ pt_type: PHEV: res: @@ -339,8 +342,8 @@ chassis: drive_axle_weight_frac: 0.59 wheel_base_meters: 2.6 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 607.577 + cargo_mass_kilograms: 136.0 cabin: None hvac: None mass_kilograms: 1666.874423972619 diff --git a/cal_and_val/f3-vehicles/2016 CHEVROLET Malibu 4cyl 2WD.yaml b/cal_and_val/f3-vehicles/2016 CHEVROLET Malibu 4cyl 2WD.yaml index ed6d414dd..c6517a6a3 100644 --- a/cal_and_val/f3-vehicles/2016 CHEVROLET Malibu 4cyl 2WD.yaml +++ b/cal_and_val/f3-vehicles/2016 CHEVROLET Malibu 4cyl 2WD.yaml @@ -1,14 +1,17 @@ --- name: 2016 CHEVROLET Malibu 4cyl 2WD +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2016 +year: "2016" +make: ~ +model: ~ pt_type: Conv: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.0 energy_capacity_joules: 1562400000.0 - specific_energy_joules_per_kilogram: ~ + specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ fc: thrml: None @@ -141,8 +144,8 @@ chassis: drive_axle_weight_frac: 0.59 wheel_base_meters: 2.6 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 1146.223 + cargo_mass_kilograms: 136.0 cabin: None hvac: None mass_kilograms: 1666.874756172356 diff --git a/cal_and_val/f3-vehicles/2016 CHEVROLET Spark EV.yaml b/cal_and_val/f3-vehicles/2016 CHEVROLET Spark EV.yaml index 40f01ca77..6b3d03cfd 100644 --- a/cal_and_val/f3-vehicles/2016 CHEVROLET Spark EV.yaml +++ b/cal_and_val/f3-vehicles/2016 CHEVROLET Spark EV.yaml @@ -1,7 +1,10 @@ --- name: 2016 CHEVROLET Spark EV +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2016 +year: "2016" +make: ~ +model: ~ pt_type: BEV: res: @@ -213,8 +216,8 @@ chassis: drive_axle_weight_frac: 0.7 wheel_base_meters: 2.38 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 647.505 + cargo_mass_kilograms: 136.0 cabin: None hvac: None mass_kilograms: 1435.996 diff --git a/cal_and_val/f3-vehicles/2016 CHEVROLET Volt.yaml b/cal_and_val/f3-vehicles/2016 CHEVROLET Volt.yaml index 999517415..5d1578b16 100644 --- a/cal_and_val/f3-vehicles/2016 CHEVROLET Volt.yaml +++ b/cal_and_val/f3-vehicles/2016 CHEVROLET Volt.yaml @@ -1,7 +1,10 @@ --- name: 2016 CHEVROLET Volt +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2016 +year: "2016" +make: ~ +model: ~ pt_type: PHEV: res: @@ -339,8 +342,8 @@ chassis: drive_axle_weight_frac: 0.59 wheel_base_meters: 2.6 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 950.564 + cargo_mass_kilograms: 136.0 cabin: None hvac: None mass_kilograms: 1893.6704417864107 diff --git a/cal_and_val/f3-vehicles/2016 FORD C-MAX (PHEV).yaml b/cal_and_val/f3-vehicles/2016 FORD C-MAX (PHEV).yaml index 9396870f4..c5b21984f 100644 --- a/cal_and_val/f3-vehicles/2016 FORD C-MAX (PHEV).yaml +++ b/cal_and_val/f3-vehicles/2016 FORD C-MAX (PHEV).yaml @@ -1,7 +1,10 @@ --- name: 2016 FORD C-MAX (PHEV) +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2016 +year: "2016" +make: ~ +model: ~ pt_type: PHEV: res: @@ -339,8 +342,8 @@ chassis: drive_axle_weight_frac: 0.59 wheel_base_meters: 2.6 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 1092.131 + cargo_mass_kilograms: 136.0 cabin: None hvac: None mass_kilograms: 1904.55682060411 diff --git a/cal_and_val/f3-vehicles/2016 FORD C-MAX HEV.yaml b/cal_and_val/f3-vehicles/2016 FORD C-MAX HEV.yaml index 744b74165..1d195e7ad 100644 --- a/cal_and_val/f3-vehicles/2016 FORD C-MAX HEV.yaml +++ b/cal_and_val/f3-vehicles/2016 FORD C-MAX HEV.yaml @@ -1,7 +1,10 @@ --- name: 2016 FORD C-MAX HEV +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2016 +year: "2016" +make: ~ +model: ~ pt_type: HEV: res: @@ -339,8 +342,8 @@ chassis: drive_axle_weight_frac: 0.59 wheel_base_meters: 2.6 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 1225.594 + cargo_mass_kilograms: 136.0 cabin: None hvac: None mass_kilograms: 1950.3693212520827 diff --git a/cal_and_val/f3-vehicles/2016 FORD Escape 4cyl 2WD.yaml b/cal_and_val/f3-vehicles/2016 FORD Escape 4cyl 2WD.yaml index 65313db47..55aa10ad5 100644 --- a/cal_and_val/f3-vehicles/2016 FORD Escape 4cyl 2WD.yaml +++ b/cal_and_val/f3-vehicles/2016 FORD Escape 4cyl 2WD.yaml @@ -1,14 +1,17 @@ --- name: 2016 FORD Escape 4cyl 2WD +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2016 +year: "2016" +make: ~ +model: ~ pt_type: Conv: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.0 energy_capacity_joules: 1814400000.0 - specific_energy_joules_per_kilogram: ~ + specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ fc: thrml: None @@ -141,8 +144,8 @@ chassis: drive_axle_weight_frac: 0.59 wheel_base_meters: 2.6 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 1359.166 + cargo_mass_kilograms: 136.0 cabin: None hvac: None mass_kilograms: 1893.6704171330643 diff --git a/cal_and_val/f3-vehicles/2016 FORD Explorer 4cyl 2WD.yaml b/cal_and_val/f3-vehicles/2016 FORD Explorer 4cyl 2WD.yaml index d5d64e9c3..0d648949e 100644 --- a/cal_and_val/f3-vehicles/2016 FORD Explorer 4cyl 2WD.yaml +++ b/cal_and_val/f3-vehicles/2016 FORD Explorer 4cyl 2WD.yaml @@ -1,14 +1,17 @@ --- name: 2016 FORD Explorer 4cyl 2WD +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2016 +year: "2016" +make: ~ +model: ~ pt_type: Conv: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.0 energy_capacity_joules: 2235600000.0 - specific_energy_joules_per_kilogram: ~ + specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ fc: thrml: None @@ -141,8 +144,8 @@ chassis: drive_axle_weight_frac: 0.59 wheel_base_meters: 2.6 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 1800.313 + cargo_mass_kilograms: 136.0 cabin: None hvac: None mass_kilograms: 2403.9617607817445 diff --git a/cal_and_val/f3-vehicles/2016 HYUNDAI Elantra 4cyl 2WD.yaml b/cal_and_val/f3-vehicles/2016 HYUNDAI Elantra 4cyl 2WD.yaml index 9b15bb6da..6a4d6371d 100644 --- a/cal_and_val/f3-vehicles/2016 HYUNDAI Elantra 4cyl 2WD.yaml +++ b/cal_and_val/f3-vehicles/2016 HYUNDAI Elantra 4cyl 2WD.yaml @@ -1,14 +1,17 @@ --- name: 2016 HYUNDAI Elantra 4cyl 2WD +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2016 +year: "2016" +make: ~ +model: ~ pt_type: Conv: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.0 energy_capacity_joules: 1684800000.0 - specific_energy_joules_per_kilogram: ~ + specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ fc: thrml: None @@ -141,8 +144,8 @@ chassis: drive_axle_weight_frac: 0.59 wheel_base_meters: 2.6 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 1090.626 + cargo_mass_kilograms: 136.0 cabin: None hvac: None mass_kilograms: 1610.1752055806355 diff --git a/cal_and_val/f3-vehicles/2016 HYUNDAI Sonata PHEV.yaml b/cal_and_val/f3-vehicles/2016 HYUNDAI Sonata PHEV.yaml index 6f6f31505..4e4a6922a 100644 --- a/cal_and_val/f3-vehicles/2016 HYUNDAI Sonata PHEV.yaml +++ b/cal_and_val/f3-vehicles/2016 HYUNDAI Sonata PHEV.yaml @@ -1,7 +1,10 @@ --- name: 2016 HYUNDAI Sonata PHEV +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2016 +year: "2016" +make: ~ +model: ~ pt_type: PHEV: res: @@ -339,8 +342,8 @@ chassis: drive_axle_weight_frac: 0.59 wheel_base_meters: 2.8 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 1121.959 + cargo_mass_kilograms: 136.0 cabin: None hvac: None mass_kilograms: 1950.369504611762 diff --git a/cal_and_val/f3-vehicles/2016 Hyundai Tucson Fuel Cell.yaml b/cal_and_val/f3-vehicles/2016 Hyundai Tucson Fuel Cell.yaml index 355985813..50aaa8e8d 100644 --- a/cal_and_val/f3-vehicles/2016 Hyundai Tucson Fuel Cell.yaml +++ b/cal_and_val/f3-vehicles/2016 Hyundai Tucson Fuel Cell.yaml @@ -1,7 +1,10 @@ --- name: 2016 Hyundai Tucson Fuel Cell +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2016 +year: "2016" +make: ~ +model: ~ pt_type: HEV: res: @@ -339,8 +342,8 @@ chassis: drive_axle_weight_frac: 0.53 wheel_base_meters: 2.69 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 1447.123 + cargo_mass_kilograms: 136.0 cabin: None hvac: None mass_kilograms: 2177.165764419529 diff --git a/cal_and_val/f3-vehicles/2016 KIA Optima Hybrid.yaml b/cal_and_val/f3-vehicles/2016 KIA Optima Hybrid.yaml index 1a2656cde..c99715b57 100644 --- a/cal_and_val/f3-vehicles/2016 KIA Optima Hybrid.yaml +++ b/cal_and_val/f3-vehicles/2016 KIA Optima Hybrid.yaml @@ -1,7 +1,10 @@ --- name: 2016 KIA Optima Hybrid +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2016 +year: "2016" +make: ~ +model: ~ pt_type: HEV: res: @@ -339,8 +342,8 @@ chassis: drive_axle_weight_frac: 0.59 wheel_base_meters: 2.6 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 1165.944 + cargo_mass_kilograms: 136.0 cabin: None hvac: None mass_kilograms: 1893.6707541501114 diff --git a/cal_and_val/f3-vehicles/2016 Leaf 24 kWh.yaml b/cal_and_val/f3-vehicles/2016 Leaf 24 kWh.yaml index 90d424c20..c2bc5be55 100644 --- a/cal_and_val/f3-vehicles/2016 Leaf 24 kWh.yaml +++ b/cal_and_val/f3-vehicles/2016 Leaf 24 kWh.yaml @@ -1,7 +1,10 @@ --- name: 2016 Leaf 24 kWh +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2016 +year: "2016" +make: ~ +model: ~ pt_type: BEV: res: @@ -213,8 +216,8 @@ chassis: drive_axle_weight_frac: 0.59 wheel_base_meters: 2.6 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 819.961 + cargo_mass_kilograms: 136.0 cabin: None hvac: None mass_kilograms: 1612.897 diff --git a/cal_and_val/f3-vehicles/2016 MITSUBISHI i-MiEV.yaml b/cal_and_val/f3-vehicles/2016 MITSUBISHI i-MiEV.yaml index 18e0d4e95..144845061 100644 --- a/cal_and_val/f3-vehicles/2016 MITSUBISHI i-MiEV.yaml +++ b/cal_and_val/f3-vehicles/2016 MITSUBISHI i-MiEV.yaml @@ -1,7 +1,10 @@ --- name: 2016 MITSUBISHI i-MiEV +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2016 +year: "2016" +make: ~ +model: ~ pt_type: BEV: res: @@ -213,8 +216,8 @@ chassis: drive_axle_weight_frac: 0.59 wheel_base_meters: 2.6 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 772.894 + cargo_mass_kilograms: 136.0 cabin: None hvac: None mass_kilograms: 1440.0778 diff --git a/cal_and_val/f3-vehicles/2016 Nissan Leaf 30 kWh.yaml b/cal_and_val/f3-vehicles/2016 Nissan Leaf 30 kWh.yaml index b8ba66112..d6d640ad4 100644 --- a/cal_and_val/f3-vehicles/2016 Nissan Leaf 30 kWh.yaml +++ b/cal_and_val/f3-vehicles/2016 Nissan Leaf 30 kWh.yaml @@ -1,7 +1,10 @@ --- name: 2016 Nissan Leaf 30 kWh +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2016 +year: "2016" +make: ~ +model: ~ pt_type: BEV: res: @@ -213,8 +216,8 @@ chassis: drive_axle_weight_frac: 0.59 wheel_base_meters: 2.6 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 817.894 + cargo_mass_kilograms: 136.0 cabin: None hvac: None mass_kilograms: 1636.03 diff --git a/cal_and_val/f3-vehicles/2016 TESLA Model S60 2WD.yaml b/cal_and_val/f3-vehicles/2016 TESLA Model S60 2WD.yaml index 11182d3c5..48de8b8fd 100644 --- a/cal_and_val/f3-vehicles/2016 TESLA Model S60 2WD.yaml +++ b/cal_and_val/f3-vehicles/2016 TESLA Model S60 2WD.yaml @@ -1,7 +1,10 @@ --- name: 2016 TESLA Model S60 2WD +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2016 +year: "2016" +make: ~ +model: ~ pt_type: BEV: res: @@ -213,8 +216,8 @@ chassis: drive_axle_weight_frac: 0.59 wheel_base_meters: 2.96 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 666.945 + cargo_mass_kilograms: 136.0 cabin: None hvac: None mass_kilograms: 2270.152 diff --git a/cal_and_val/f3-vehicles/2016 TOYOTA Camry 4cyl 2WD.yaml b/cal_and_val/f3-vehicles/2016 TOYOTA Camry 4cyl 2WD.yaml index e646e2ba0..88c8d0d13 100644 --- a/cal_and_val/f3-vehicles/2016 TOYOTA Camry 4cyl 2WD.yaml +++ b/cal_and_val/f3-vehicles/2016 TOYOTA Camry 4cyl 2WD.yaml @@ -1,14 +1,17 @@ --- name: 2016 TOYOTA Camry 4cyl 2WD +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2016 +year: "2016" +make: ~ +model: ~ pt_type: Conv: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.0 energy_capacity_joules: 2044800000.0 - specific_energy_joules_per_kilogram: ~ + specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ fc: thrml: None @@ -141,8 +144,8 @@ chassis: drive_axle_weight_frac: 0.59 wheel_base_meters: 2.6 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 1334.332 + cargo_mass_kilograms: 136.0 cabin: None hvac: None mass_kilograms: 1893.6707212387912 diff --git a/cal_and_val/f3-vehicles/2016 TOYOTA Corolla 4cyl 2WD.yaml b/cal_and_val/f3-vehicles/2016 TOYOTA Corolla 4cyl 2WD.yaml index 0a1b0f5af..ee1a6e3a7 100644 --- a/cal_and_val/f3-vehicles/2016 TOYOTA Corolla 4cyl 2WD.yaml +++ b/cal_and_val/f3-vehicles/2016 TOYOTA Corolla 4cyl 2WD.yaml @@ -1,14 +1,17 @@ --- name: 2016 TOYOTA Corolla 4cyl 2WD +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2016 +year: "2016" +make: ~ +model: ~ pt_type: Conv: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.0 energy_capacity_joules: 1587600000.0 - specific_energy_joules_per_kilogram: ~ + specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ fc: thrml: None @@ -141,8 +144,8 @@ chassis: drive_axle_weight_frac: 0.61 wheel_base_meters: 2.6 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 1045.636 + cargo_mass_kilograms: 136.0 cabin: None hvac: None mass_kilograms: 1553.4758391698351 diff --git a/cal_and_val/f3-vehicles/2016 TOYOTA Highlander Hybrid.yaml b/cal_and_val/f3-vehicles/2016 TOYOTA Highlander Hybrid.yaml index 3337e5bd5..135ae0eac 100644 --- a/cal_and_val/f3-vehicles/2016 TOYOTA Highlander Hybrid.yaml +++ b/cal_and_val/f3-vehicles/2016 TOYOTA Highlander Hybrid.yaml @@ -1,7 +1,10 @@ --- name: 2016 TOYOTA Highlander Hybrid +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2016 +year: "2016" +make: ~ +model: ~ pt_type: HEV: res: @@ -339,8 +342,8 @@ chassis: drive_axle_weight_frac: 0.59 wheel_base_meters: 2.6 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 1527.574 + cargo_mass_kilograms: 136.0 cabin: None hvac: None mass_kilograms: 2403.962034901285 diff --git a/cal_and_val/f3-vehicles/2016 Toyota Prius Two FWD.yaml b/cal_and_val/f3-vehicles/2016 Toyota Prius Two FWD.yaml index c81826eee..7ec51ede7 100644 --- a/cal_and_val/f3-vehicles/2016 Toyota Prius Two FWD.yaml +++ b/cal_and_val/f3-vehicles/2016 Toyota Prius Two FWD.yaml @@ -1,7 +1,10 @@ --- name: 2016 Toyota Prius Two FWD +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2016 +year: "2016" +make: ~ +model: ~ pt_type: HEV: res: @@ -339,8 +342,8 @@ chassis: drive_axle_weight_frac: 0.59 wheel_base_meters: 2.7 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 1250.0 + cargo_mass_kilograms: 136.8 cabin: None hvac: None mass_kilograms: 1635.0 diff --git a/cal_and_val/f3-vehicles/2017 CHEVROLET Bolt.yaml b/cal_and_val/f3-vehicles/2017 CHEVROLET Bolt.yaml index ce6ab66e5..06403bad9 100644 --- a/cal_and_val/f3-vehicles/2017 CHEVROLET Bolt.yaml +++ b/cal_and_val/f3-vehicles/2017 CHEVROLET Bolt.yaml @@ -1,7 +1,10 @@ --- name: 2017 CHEVROLET Bolt +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2017 +year: "2017" +make: ~ +model: ~ pt_type: BEV: res: @@ -213,8 +216,8 @@ chassis: drive_axle_weight_frac: 0.7 wheel_base_meters: 2.6 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 648.0 + cargo_mass_kilograms: 136.0 cabin: None hvac: None mass_kilograms: 1757.77 diff --git a/cal_and_val/f3-vehicles/2017 Maruti Dzire VDI.yaml b/cal_and_val/f3-vehicles/2017 Maruti Dzire VDI.yaml index 1413387f3..7a2165c1d 100644 --- a/cal_and_val/f3-vehicles/2017 Maruti Dzire VDI.yaml +++ b/cal_and_val/f3-vehicles/2017 Maruti Dzire VDI.yaml @@ -1,14 +1,17 @@ --- name: 2017 Maruti Dzire VDI +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2017 +year: "2017" +make: ~ +model: ~ pt_type: Conv: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.1 energy_capacity_joules: 1333468383.48 - specific_energy_joules_per_kilogram: ~ + specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ fc: thrml: None @@ -141,8 +144,8 @@ chassis: drive_axle_weight_frac: 0.61 wheel_base_meters: 2.45 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 0.0 + cargo_mass_kilograms: 0.0 cabin: None hvac: None mass_kilograms: 972.5 diff --git a/cal_and_val/f3-vehicles/2017 Prius Prime.yaml b/cal_and_val/f3-vehicles/2017 Prius Prime.yaml index c731949ec..28c869048 100644 --- a/cal_and_val/f3-vehicles/2017 Prius Prime.yaml +++ b/cal_and_val/f3-vehicles/2017 Prius Prime.yaml @@ -1,7 +1,10 @@ --- name: 2017 Prius Prime +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2016 +year: "2016" +make: ~ +model: ~ pt_type: PHEV: res: @@ -339,8 +342,8 @@ chassis: drive_axle_weight_frac: 0.59 wheel_base_meters: 2.6 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 1003.205 + cargo_mass_kilograms: 136.0 cabin: None hvac: None mass_kilograms: 1780.2719754634309 diff --git a/cal_and_val/f3-vehicles/2017 Toyota Highlander 3.5 L.yaml b/cal_and_val/f3-vehicles/2017 Toyota Highlander 3.5 L.yaml index 2894d760f..c77b24eb5 100644 --- a/cal_and_val/f3-vehicles/2017 Toyota Highlander 3.5 L.yaml +++ b/cal_and_val/f3-vehicles/2017 Toyota Highlander 3.5 L.yaml @@ -1,14 +1,17 @@ --- name: 2017 Toyota Highlander 3.5 L +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2017 +year: "2017" +make: ~ +model: ~ pt_type: Conv: fs: pwr_out_max_watts: 1000000.0 pwr_ramp_lag_seconds: 1.0 energy_capacity_joules: 2124000000.0 - specific_energy_joules_per_kilogram: ~ + specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ fc: thrml: None @@ -141,8 +144,8 @@ chassis: drive_axle_weight_frac: 0.59 wheel_base_meters: 2.72 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 791.0702892 + cargo_mass_kilograms: 136.0 cabin: None hvac: None mass_kilograms: 2270.0 diff --git a/cal_and_val/f3-vehicles/2020 Chevrolet Colorado 2WD Diesel.yaml b/cal_and_val/f3-vehicles/2020 Chevrolet Colorado 2WD Diesel.yaml index d2c739b8e..fe2e160cc 100644 --- a/cal_and_val/f3-vehicles/2020 Chevrolet Colorado 2WD Diesel.yaml +++ b/cal_and_val/f3-vehicles/2020 Chevrolet Colorado 2WD Diesel.yaml @@ -1,14 +1,17 @@ --- name: 2020 Chevrolet Colorado 2WD Diesel +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2020 +year: "2020" +make: ~ +model: ~ pt_type: Conv: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.0 energy_capacity_joules: 2520000000.0 - specific_energy_joules_per_kilogram: ~ + specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ fc: thrml: None @@ -137,12 +140,12 @@ chassis: tire_code: ~ cg_height_meters: 0.53 wheel_fric_coef: 0.7 - drive_type: RWD + drive_type: FWD drive_axle_weight_frac: 0.61 wheel_base_meters: 3.26 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 1250.0 + cargo_mass_kilograms: 136.8 cabin: None hvac: None mass_kilograms: 2325.0 diff --git a/cal_and_val/f3-vehicles/2020 Hero Splendor+ 100cc.yaml b/cal_and_val/f3-vehicles/2020 Hero Splendor+ 100cc.yaml index a1dda10aa..2cdda1acb 100644 --- a/cal_and_val/f3-vehicles/2020 Hero Splendor+ 100cc.yaml +++ b/cal_and_val/f3-vehicles/2020 Hero Splendor+ 100cc.yaml @@ -1,14 +1,17 @@ --- name: 2020 Hero Splendor+ 100cc +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2020 +year: "2020" +make: ~ +model: ~ pt_type: Conv: fs: pwr_out_max_watts: 1000000.0 pwr_ramp_lag_seconds: 1.0 energy_capacity_joules: 317520000.0 - specific_energy_joules_per_kilogram: ~ + specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ fc: thrml: None @@ -141,8 +144,8 @@ chassis: drive_axle_weight_frac: 0.61 wheel_base_meters: 1.236 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 0.0 + cargo_mass_kilograms: 0.0 cabin: None hvac: None mass_kilograms: 172.0 diff --git a/cal_and_val/f3-vehicles/2020 VW Golf 1.5TSI.yaml b/cal_and_val/f3-vehicles/2020 VW Golf 1.5TSI.yaml index 357a845d0..85e60603a 100644 --- a/cal_and_val/f3-vehicles/2020 VW Golf 1.5TSI.yaml +++ b/cal_and_val/f3-vehicles/2020 VW Golf 1.5TSI.yaml @@ -1,14 +1,17 @@ --- name: 2020 VW Golf 1.5TSI +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2020 +year: "2020" +make: ~ +model: ~ pt_type: Conv: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.0 energy_capacity_joules: 1590104192.3999999 - specific_energy_joules_per_kilogram: ~ + specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ fc: thrml: None @@ -141,8 +144,8 @@ chassis: drive_axle_weight_frac: 0.61 wheel_base_meters: 2.636 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 1045.636 + cargo_mass_kilograms: 136.0 cabin: None hvac: None mass_kilograms: 1416.0 diff --git a/cal_and_val/f3-vehicles/2020 VW Golf 2.0TDI.yaml b/cal_and_val/f3-vehicles/2020 VW Golf 2.0TDI.yaml index bc5c15361..027799199 100644 --- a/cal_and_val/f3-vehicles/2020 VW Golf 2.0TDI.yaml +++ b/cal_and_val/f3-vehicles/2020 VW Golf 2.0TDI.yaml @@ -1,14 +1,17 @@ --- name: 2020 VW Golf 2.0TDI +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2020 +year: "2020" +make: ~ +model: ~ pt_type: Conv: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.0 energy_capacity_joules: 1790584804.8 - specific_energy_joules_per_kilogram: ~ + specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ fc: thrml: None @@ -141,8 +144,8 @@ chassis: drive_axle_weight_frac: 0.61 wheel_base_meters: 2.636 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 1045.636 + cargo_mass_kilograms: 136.0 cabin: None hvac: None mass_kilograms: 1390.0 diff --git a/cal_and_val/f3-vehicles/2021 BMW iX xDrive40.yaml b/cal_and_val/f3-vehicles/2021 BMW iX xDrive40.yaml index 74d3ff2e6..33895d170 100644 --- a/cal_and_val/f3-vehicles/2021 BMW iX xDrive40.yaml +++ b/cal_and_val/f3-vehicles/2021 BMW iX xDrive40.yaml @@ -1,7 +1,10 @@ --- name: 2021 BMW iX xDrive40 +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2021 +year: "2021" +make: ~ +model: ~ pt_type: BEV: res: @@ -213,8 +216,8 @@ chassis: drive_axle_weight_frac: 0.61 wheel_base_meters: 3.0 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 0.0 + cargo_mass_kilograms: 0.0 cabin: None hvac: None mass_kilograms: 2600.0 diff --git a/cal_and_val/f3-vehicles/2021 Cupra Born.yaml b/cal_and_val/f3-vehicles/2021 Cupra Born.yaml index 93db6c29b..7c9b52802 100644 --- a/cal_and_val/f3-vehicles/2021 Cupra Born.yaml +++ b/cal_and_val/f3-vehicles/2021 Cupra Born.yaml @@ -1,7 +1,10 @@ --- name: 2021 Cupra Born +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2021 +year: "2021" +make: ~ +model: ~ pt_type: BEV: res: @@ -213,8 +216,8 @@ chassis: drive_axle_weight_frac: 0.61 wheel_base_meters: 2.766 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 0.0 + cargo_mass_kilograms: 0.0 cabin: None hvac: None mass_kilograms: 1927.0 diff --git a/cal_and_val/f3-vehicles/2021 Fiat Panda Mild Hybrid.yaml b/cal_and_val/f3-vehicles/2021 Fiat Panda Mild Hybrid.yaml index c84090522..a43beaa66 100644 --- a/cal_and_val/f3-vehicles/2021 Fiat Panda Mild Hybrid.yaml +++ b/cal_and_val/f3-vehicles/2021 Fiat Panda Mild Hybrid.yaml @@ -1,14 +1,17 @@ --- name: 2021 Fiat Panda Mild Hybrid +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2021 +year: "2021" +make: ~ +model: ~ pt_type: Conv: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.0 energy_capacity_joules: 1623600000.0 - specific_energy_joules_per_kilogram: ~ + specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ fc: thrml: None @@ -141,8 +144,8 @@ chassis: drive_axle_weight_frac: 0.59 wheel_base_meters: 2.3 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 1225.594 + cargo_mass_kilograms: 136.0 cabin: None hvac: None mass_kilograms: 1200.0 diff --git a/cal_and_val/f3-vehicles/2021 Honda N-Box G.yaml b/cal_and_val/f3-vehicles/2021 Honda N-Box G.yaml index 2c92ed40c..afca61e0d 100644 --- a/cal_and_val/f3-vehicles/2021 Honda N-Box G.yaml +++ b/cal_and_val/f3-vehicles/2021 Honda N-Box G.yaml @@ -1,14 +1,17 @@ --- name: 2021 Honda N-Box G +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2021 +year: "2021" +make: ~ +model: ~ pt_type: Conv: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.1 energy_capacity_joules: 861372000.0 - specific_energy_joules_per_kilogram: ~ + specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ fc: thrml: None @@ -141,8 +144,8 @@ chassis: drive_axle_weight_frac: 0.61 wheel_base_meters: 2.52 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 0.0 + cargo_mass_kilograms: 0.0 cabin: None hvac: None mass_kilograms: 1050.0 diff --git a/cal_and_val/f3-vehicles/2021 Peugot 3008.yaml b/cal_and_val/f3-vehicles/2021 Peugot 3008.yaml index 4eabcd7a5..67f6be21d 100644 --- a/cal_and_val/f3-vehicles/2021 Peugot 3008.yaml +++ b/cal_and_val/f3-vehicles/2021 Peugot 3008.yaml @@ -1,14 +1,17 @@ --- name: 2021 Peugot 3008 +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2021 +year: "2021" +make: ~ +model: ~ pt_type: Conv: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.0 energy_capacity_joules: 1623600000.0 - specific_energy_joules_per_kilogram: ~ + specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ fc: thrml: None @@ -141,8 +144,8 @@ chassis: drive_axle_weight_frac: 0.59 wheel_base_meters: 2.3 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 1225.594 + cargo_mass_kilograms: 136.0 cabin: None hvac: None mass_kilograms: 1700.0 diff --git a/cal_and_val/f3-vehicles/2022 Ford F-150 Lightning 4WD.yaml b/cal_and_val/f3-vehicles/2022 Ford F-150 Lightning 4WD.yaml index d3d3790e7..f837c9772 100644 --- a/cal_and_val/f3-vehicles/2022 Ford F-150 Lightning 4WD.yaml +++ b/cal_and_val/f3-vehicles/2022 Ford F-150 Lightning 4WD.yaml @@ -1,7 +1,10 @@ --- name: 2022 Ford F-150 Lightning 4WD +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2022 +year: "2022" +make: ~ +model: ~ pt_type: BEV: res: @@ -213,8 +216,8 @@ chassis: drive_axle_weight_frac: 0.59 wheel_base_meters: 2.6 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 1009.648743 + cargo_mass_kilograms: 136.0 cabin: None hvac: None mass_kilograms: 2728.358 diff --git a/cal_and_val/f3-vehicles/2022 MINI Cooper SE Hardtop 2 door.yaml b/cal_and_val/f3-vehicles/2022 MINI Cooper SE Hardtop 2 door.yaml index 15c905f5b..ad0c2cadb 100755 --- a/cal_and_val/f3-vehicles/2022 MINI Cooper SE Hardtop 2 door.yaml +++ b/cal_and_val/f3-vehicles/2022 MINI Cooper SE Hardtop 2 door.yaml @@ -1,7 +1,10 @@ --- name: 2022 MINI Cooper SE Hardtop 2 door +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2022 +year: "2022" +make: ~ +model: ~ pt_type: BEV: res: @@ -213,8 +216,8 @@ chassis: drive_axle_weight_frac: 0.59 wheel_base_meters: 2.495 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 1359.166 + cargo_mass_kilograms: 136.0 cabin: None hvac: None mass_kilograms: 1587.573 diff --git a/cal_and_val/f3-vehicles/2022 Renault Megane E-Tech.yaml b/cal_and_val/f3-vehicles/2022 Renault Megane E-Tech.yaml index cd07eb86b..da8e8af12 100644 --- a/cal_and_val/f3-vehicles/2022 Renault Megane E-Tech.yaml +++ b/cal_and_val/f3-vehicles/2022 Renault Megane E-Tech.yaml @@ -1,7 +1,10 @@ --- name: 2022 Renault Megane E-Tech +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2022 +year: "2022" +make: ~ +model: ~ pt_type: BEV: res: @@ -213,8 +216,8 @@ chassis: drive_axle_weight_frac: 0.61 wheel_base_meters: 2.685 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 0.0 + cargo_mass_kilograms: 0.0 cabin: None hvac: None mass_kilograms: 1706.0 diff --git a/cal_and_val/f3-vehicles/2022 Renault Zoe ZE50 R135.yaml b/cal_and_val/f3-vehicles/2022 Renault Zoe ZE50 R135.yaml index 31257093a..98d00afd0 100644 --- a/cal_and_val/f3-vehicles/2022 Renault Zoe ZE50 R135.yaml +++ b/cal_and_val/f3-vehicles/2022 Renault Zoe ZE50 R135.yaml @@ -1,7 +1,10 @@ --- name: 2022 Renault Zoe ZE50 R135 +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2022 +year: "2022" +make: ~ +model: ~ pt_type: BEV: res: @@ -213,8 +216,8 @@ chassis: drive_axle_weight_frac: 0.61 wheel_base_meters: 2.588 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 1502.0 + cargo_mass_kilograms: 136.8 cabin: None hvac: None mass_kilograms: 1600.0 diff --git a/cal_and_val/f3-vehicles/2022 Tesla Model 3 RWD.yaml b/cal_and_val/f3-vehicles/2022 Tesla Model 3 RWD.yaml index 021b26d7b..85b524c55 100644 --- a/cal_and_val/f3-vehicles/2022 Tesla Model 3 RWD.yaml +++ b/cal_and_val/f3-vehicles/2022 Tesla Model 3 RWD.yaml @@ -1,7 +1,10 @@ --- name: 2022 Tesla Model 3 RWD +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2022 +year: "2022" +make: ~ +model: ~ pt_type: BEV: res: @@ -213,8 +216,8 @@ chassis: drive_axle_weight_frac: 0.59 wheel_base_meters: 2.87528 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 628.8332729551923 + cargo_mass_kilograms: 136.0 cabin: None hvac: None mass_kilograms: 1752.0 diff --git a/cal_and_val/f3-vehicles/2022 Tesla Model Y RWD.yaml b/cal_and_val/f3-vehicles/2022 Tesla Model Y RWD.yaml index eeae2ded8..9728b502c 100644 --- a/cal_and_val/f3-vehicles/2022 Tesla Model Y RWD.yaml +++ b/cal_and_val/f3-vehicles/2022 Tesla Model Y RWD.yaml @@ -1,7 +1,10 @@ --- name: 2022 Tesla Model Y RWD +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2022 +year: "2022" +make: ~ +model: ~ pt_type: BEV: res: @@ -213,8 +216,8 @@ chassis: drive_axle_weight_frac: 0.59 wheel_base_meters: 2.89 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 628.8332729551923 + cargo_mass_kilograms: 136.0 cabin: None hvac: None mass_kilograms: 1909.0 diff --git a/cal_and_val/f3-vehicles/2022 Toyota RAV4 Hybrid LE.yaml b/cal_and_val/f3-vehicles/2022 Toyota RAV4 Hybrid LE.yaml index 4f89b4e4b..db1542650 100644 --- a/cal_and_val/f3-vehicles/2022 Toyota RAV4 Hybrid LE.yaml +++ b/cal_and_val/f3-vehicles/2022 Toyota RAV4 Hybrid LE.yaml @@ -1,7 +1,10 @@ --- name: 2022 Toyota RAV4 Hybrid LE +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2022 +year: "2022" +make: ~ +model: ~ pt_type: HEV: res: @@ -339,8 +342,8 @@ chassis: drive_axle_weight_frac: 0.61 wheel_base_meters: 2.68986 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 0.0 + cargo_mass_kilograms: 0.0 cabin: None hvac: None mass_kilograms: 1814.369 diff --git a/cal_and_val/f3-vehicles/2022 Toyota Yaris Hybrid Mid.yaml b/cal_and_val/f3-vehicles/2022 Toyota Yaris Hybrid Mid.yaml index f3cafb0a1..3af398c37 100644 --- a/cal_and_val/f3-vehicles/2022 Toyota Yaris Hybrid Mid.yaml +++ b/cal_and_val/f3-vehicles/2022 Toyota Yaris Hybrid Mid.yaml @@ -1,7 +1,10 @@ --- name: 2022 Toyota Yaris Hybrid Mid +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2022 +year: "2022" +make: ~ +model: ~ pt_type: HEV: res: @@ -339,8 +342,8 @@ chassis: drive_axle_weight_frac: 0.61 wheel_base_meters: 2.56 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 1085.0 + cargo_mass_kilograms: 136.0 cabin: None hvac: None mass_kilograms: 1670.0 diff --git a/cal_and_val/f3-vehicles/2022 Volvo XC40 Recharge twin.yaml b/cal_and_val/f3-vehicles/2022 Volvo XC40 Recharge twin.yaml index da6be46c0..9c052418a 100644 --- a/cal_and_val/f3-vehicles/2022 Volvo XC40 Recharge twin.yaml +++ b/cal_and_val/f3-vehicles/2022 Volvo XC40 Recharge twin.yaml @@ -1,7 +1,10 @@ --- name: 2022 Volvo XC40 Recharge twin +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2022 +year: "2022" +make: ~ +model: ~ pt_type: BEV: res: @@ -213,8 +216,8 @@ chassis: drive_axle_weight_frac: 0.61 wheel_base_meters: 2.702 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 574.130656 + cargo_mass_kilograms: 136.0 cabin: None hvac: None mass_kilograms: 2267.962 diff --git a/cal_and_val/f3-vehicles/2023 Mitsubishi Pajero Sport.yaml b/cal_and_val/f3-vehicles/2023 Mitsubishi Pajero Sport.yaml index 3a6aa7f9c..d6d0ddb0d 100644 --- a/cal_and_val/f3-vehicles/2023 Mitsubishi Pajero Sport.yaml +++ b/cal_and_val/f3-vehicles/2023 Mitsubishi Pajero Sport.yaml @@ -1,14 +1,17 @@ --- name: 2023 Mitsubishi Pajero Sport +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2023 +year: "2023" +make: ~ +model: ~ pt_type: Conv: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.1 energy_capacity_joules: 2450698650.0 - specific_energy_joules_per_kilogram: ~ + specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ fc: thrml: None @@ -141,8 +144,8 @@ chassis: drive_axle_weight_frac: 0.61 wheel_base_meters: 2.8 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 0.0 + cargo_mass_kilograms: 0.0 cabin: None hvac: None mass_kilograms: 2080.0 diff --git a/cal_and_val/f3-vehicles/2023 Polestar 2 Long range Dual motor.yaml b/cal_and_val/f3-vehicles/2023 Polestar 2 Long range Dual motor.yaml index 30c497b17..ab4ff9497 100644 --- a/cal_and_val/f3-vehicles/2023 Polestar 2 Long range Dual motor.yaml +++ b/cal_and_val/f3-vehicles/2023 Polestar 2 Long range Dual motor.yaml @@ -1,7 +1,10 @@ --- name: 2023 Polestar 2 Long range Dual motor +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2023 +year: "2023" +make: ~ +model: ~ pt_type: BEV: res: @@ -213,8 +216,8 @@ chassis: drive_axle_weight_frac: 0.61 wheel_base_meters: 2.73558 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 0.0 + cargo_mass_kilograms: 0.0 cabin: None hvac: None mass_kilograms: 2173.0 diff --git a/cal_and_val/f3-vehicles/2023 Volvo C40 Recharge.yaml b/cal_and_val/f3-vehicles/2023 Volvo C40 Recharge.yaml index ed734b948..87cf3c822 100644 --- a/cal_and_val/f3-vehicles/2023 Volvo C40 Recharge.yaml +++ b/cal_and_val/f3-vehicles/2023 Volvo C40 Recharge.yaml @@ -1,7 +1,10 @@ --- name: 2023 Volvo C40 Recharge +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2023 +year: "2023" +make: ~ +model: ~ pt_type: BEV: res: @@ -213,8 +216,8 @@ chassis: drive_axle_weight_frac: 0.61 wheel_base_meters: 2.702 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 0.0 + cargo_mass_kilograms: 0.0 cabin: None hvac: None mass_kilograms: 2237.0 diff --git a/cal_and_val/f3-vehicles/2024 BYD Dolphin Active.yaml b/cal_and_val/f3-vehicles/2024 BYD Dolphin Active.yaml index 6627881fa..ed57a51e4 100644 --- a/cal_and_val/f3-vehicles/2024 BYD Dolphin Active.yaml +++ b/cal_and_val/f3-vehicles/2024 BYD Dolphin Active.yaml @@ -1,7 +1,10 @@ --- name: 2024 BYD Dolphin Active +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2024 +year: "2024" +make: ~ +model: ~ pt_type: BEV: res: @@ -213,8 +216,8 @@ chassis: drive_axle_weight_frac: 0.61 wheel_base_meters: 2.7 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 0.0 + cargo_mass_kilograms: 0.0 cabin: None hvac: None mass_kilograms: 1405.0 diff --git a/cal_and_val/f3-vehicles/2024 Toyota Vios 1.5 G.yaml b/cal_and_val/f3-vehicles/2024 Toyota Vios 1.5 G.yaml index ba71271f7..82e64a3c8 100644 --- a/cal_and_val/f3-vehicles/2024 Toyota Vios 1.5 G.yaml +++ b/cal_and_val/f3-vehicles/2024 Toyota Vios 1.5 G.yaml @@ -1,14 +1,17 @@ --- name: 2024 Toyota Vios 1.5 G +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2024 +year: "2024" +make: ~ +model: ~ pt_type: Conv: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.1 energy_capacity_joules: 1272083353.2 - specific_energy_joules_per_kilogram: ~ + specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ fc: thrml: None @@ -141,8 +144,8 @@ chassis: drive_axle_weight_frac: 0.61 wheel_base_meters: 2.62 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 0.0 + cargo_mass_kilograms: 0.0 cabin: None hvac: None mass_kilograms: 1105.0 diff --git a/cal_and_val/f3-vehicles/2024 VinFast VF e34.yaml b/cal_and_val/f3-vehicles/2024 VinFast VF e34.yaml index 5643dbc9e..97887c873 100644 --- a/cal_and_val/f3-vehicles/2024 VinFast VF e34.yaml +++ b/cal_and_val/f3-vehicles/2024 VinFast VF e34.yaml @@ -1,7 +1,10 @@ --- name: 2024 VinFast VF e34 +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2024 +year: "2024" +make: ~ +model: ~ pt_type: BEV: res: @@ -213,8 +216,8 @@ chassis: drive_axle_weight_frac: 0.61 wheel_base_meters: 2.6108 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 0.0 + cargo_mass_kilograms: 0.0 cabin: None hvac: None mass_kilograms: 1606.0 diff --git a/cal_and_val/f3-vehicles/2024 Volkswagen Polo 1.0 MPI.yaml b/cal_and_val/f3-vehicles/2024 Volkswagen Polo 1.0 MPI.yaml index 3deabd65e..eaff50104 100644 --- a/cal_and_val/f3-vehicles/2024 Volkswagen Polo 1.0 MPI.yaml +++ b/cal_and_val/f3-vehicles/2024 Volkswagen Polo 1.0 MPI.yaml @@ -1,14 +1,17 @@ --- name: 2024 Volkswagen Polo 1.0 MPI +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2024 +year: "2024" +make: ~ +model: ~ pt_type: Conv: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.1 energy_capacity_joules: 1570428000.0 - specific_energy_joules_per_kilogram: ~ + specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ fc: thrml: None @@ -141,8 +144,8 @@ chassis: drive_axle_weight_frac: 0.61 wheel_base_meters: 2.552 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 0.0 + cargo_mass_kilograms: 0.0 cabin: None hvac: None mass_kilograms: 1202.0 diff --git a/cal_and_val/f3-vehicles/BYD ATTO 3.yaml b/cal_and_val/f3-vehicles/BYD ATTO 3.yaml index a29a0f852..87ffae534 100644 --- a/cal_and_val/f3-vehicles/BYD ATTO 3.yaml +++ b/cal_and_val/f3-vehicles/BYD ATTO 3.yaml @@ -1,7 +1,10 @@ --- name: BYD ATTO 3 +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2023 +year: "2023" +make: ~ +model: ~ pt_type: BEV: res: @@ -213,8 +216,8 @@ chassis: drive_axle_weight_frac: 0.61 wheel_base_meters: 2.588 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 1502.0 + cargo_mass_kilograms: 136.8 cabin: None hvac: None mass_kilograms: 1950.0 diff --git a/cal_and_val/f3-vehicles/Bajaj Boxer 150.yaml b/cal_and_val/f3-vehicles/Bajaj Boxer 150.yaml index 6e2eec92d..def13c2ee 100644 --- a/cal_and_val/f3-vehicles/Bajaj Boxer 150.yaml +++ b/cal_and_val/f3-vehicles/Bajaj Boxer 150.yaml @@ -1,14 +1,17 @@ --- name: Bajaj Boxer 150 +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 0 +year: "0" +make: ~ +model: ~ pt_type: Conv: fs: pwr_out_max_watts: 1000000.0 pwr_ramp_lag_seconds: 1.0 energy_capacity_joules: 317520000.0 - specific_energy_joules_per_kilogram: ~ + specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ fc: thrml: None @@ -141,8 +144,8 @@ chassis: drive_axle_weight_frac: 0.61 wheel_base_meters: 1.236 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 0.0 + cargo_mass_kilograms: 0.0 cabin: None hvac: None mass_kilograms: 183.0 diff --git a/cal_and_val/f3-vehicles/Class 4 Truck (Isuzu NPR HD).yaml b/cal_and_val/f3-vehicles/Class 4 Truck (Isuzu NPR HD).yaml index a3fb12741..eaba94bda 100644 --- a/cal_and_val/f3-vehicles/Class 4 Truck (Isuzu NPR HD).yaml +++ b/cal_and_val/f3-vehicles/Class 4 Truck (Isuzu NPR HD).yaml @@ -1,14 +1,17 @@ --- name: Class 4 Truck (Isuzu NPR HD) +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 0 +year: "0" +make: ~ +model: ~ pt_type: Conv: fs: pwr_out_max_watts: 5000000.0 pwr_ramp_lag_seconds: 1.0 energy_capacity_joules: 3844800000.0 - specific_energy_joules_per_kilogram: ~ + specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ fc: thrml: None @@ -141,8 +144,8 @@ chassis: drive_axle_weight_frac: 0.5 wheel_base_meters: 4.08 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 0.0 + cargo_mass_kilograms: 0.0 cabin: None hvac: None mass_kilograms: 6590.0 diff --git a/cal_and_val/f3-vehicles/Line Haul Conv.yaml b/cal_and_val/f3-vehicles/Line Haul Conv.yaml index af965c8e3..64ba00a4e 100644 --- a/cal_and_val/f3-vehicles/Line Haul Conv.yaml +++ b/cal_and_val/f3-vehicles/Line Haul Conv.yaml @@ -1,14 +1,17 @@ --- name: Line Haul Conv +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 0 +year: "0" +make: ~ +model: ~ pt_type: Conv: fs: pwr_out_max_watts: 5000000.0 pwr_ramp_lag_seconds: 1.0 energy_capacity_joules: 28800000000.0 - specific_energy_joules_per_kilogram: ~ + specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ fc: thrml: None @@ -141,8 +144,8 @@ chassis: drive_axle_weight_frac: 0.59 wheel_base_meters: 2.7536 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 13625.0 + cargo_mass_kilograms: 136.0 cabin: None hvac: None mass_kilograms: 21000.0 diff --git a/cal_and_val/f3-vehicles/Maruti Swift 4cyl 2WD.yaml b/cal_and_val/f3-vehicles/Maruti Swift 4cyl 2WD.yaml index 1b4a968e0..89998cfb2 100644 --- a/cal_and_val/f3-vehicles/Maruti Swift 4cyl 2WD.yaml +++ b/cal_and_val/f3-vehicles/Maruti Swift 4cyl 2WD.yaml @@ -1,14 +1,17 @@ --- name: Maruti Swift 4cyl 2WD +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2023 +year: "2023" +make: ~ +model: ~ pt_type: Conv: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.0 energy_capacity_joules: 1590480000.0 - specific_energy_joules_per_kilogram: ~ + specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ fc: thrml: None @@ -141,8 +144,8 @@ chassis: drive_axle_weight_frac: 0.7 wheel_base_meters: 2.45 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 647.51 + cargo_mass_kilograms: 136.0 cabin: None hvac: None mass_kilograms: 950.0 diff --git a/cal_and_val/f3-vehicles/Nissan Navara.yaml b/cal_and_val/f3-vehicles/Nissan Navara.yaml index 5884fbde1..dcf03f79e 100644 --- a/cal_and_val/f3-vehicles/Nissan Navara.yaml +++ b/cal_and_val/f3-vehicles/Nissan Navara.yaml @@ -1,14 +1,17 @@ --- name: Nissan Navara +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2016 +year: "2016" +make: ~ +model: ~ pt_type: Conv: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.0 energy_capacity_joules: 1623600000.0 - specific_energy_joules_per_kilogram: ~ + specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ fc: thrml: None @@ -141,8 +144,8 @@ chassis: drive_axle_weight_frac: 0.59 wheel_base_meters: 2.3 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 1225.594 + cargo_mass_kilograms: 136.0 cabin: None hvac: None mass_kilograms: 2200.0 diff --git a/cal_and_val/f3-vehicles/Regional Delivery Class 8 Truck.yaml b/cal_and_val/f3-vehicles/Regional Delivery Class 8 Truck.yaml index 1017b1e16..b08656db6 100644 --- a/cal_and_val/f3-vehicles/Regional Delivery Class 8 Truck.yaml +++ b/cal_and_val/f3-vehicles/Regional Delivery Class 8 Truck.yaml @@ -1,14 +1,17 @@ --- name: Regional Delivery Class 8 Truck +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 0 +year: "0" +make: ~ +model: ~ pt_type: Conv: fs: pwr_out_max_watts: 5000000.0 pwr_ramp_lag_seconds: 1.0 energy_capacity_joules: 14400000000.0 - specific_energy_joules_per_kilogram: ~ + specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ fc: thrml: None @@ -141,8 +144,8 @@ chassis: drive_axle_weight_frac: 0.59 wheel_base_meters: 2.7536 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 13625.0 + cargo_mass_kilograms: 136.0 cabin: None hvac: None mass_kilograms: 15076.0 diff --git a/cal_and_val/f3-vehicles/Renault Clio IV diesel.yaml b/cal_and_val/f3-vehicles/Renault Clio IV diesel.yaml index b756dc2de..5ce88ed64 100644 --- a/cal_and_val/f3-vehicles/Renault Clio IV diesel.yaml +++ b/cal_and_val/f3-vehicles/Renault Clio IV diesel.yaml @@ -1,14 +1,17 @@ --- name: Renault Clio IV diesel +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2020 +year: "2020" +make: ~ +model: ~ pt_type: Conv: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.0 energy_capacity_joules: 1623600000.0 - specific_energy_joules_per_kilogram: ~ + specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ fc: thrml: None @@ -141,8 +144,8 @@ chassis: drive_axle_weight_frac: 0.59 wheel_base_meters: 2.3 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 1225.594 + cargo_mass_kilograms: 136.0 cabin: None hvac: None mass_kilograms: 1150.0 diff --git a/cal_and_val/f3-vehicles/Renault Megane 1.5 dCi Authentique.yaml b/cal_and_val/f3-vehicles/Renault Megane 1.5 dCi Authentique.yaml index 1acae2154..675d27c80 100644 --- a/cal_and_val/f3-vehicles/Renault Megane 1.5 dCi Authentique.yaml +++ b/cal_and_val/f3-vehicles/Renault Megane 1.5 dCi Authentique.yaml @@ -1,14 +1,17 @@ --- name: Renault Megane 1.5 dCi Authentique +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2020 +year: "2020" +make: ~ +model: ~ pt_type: Conv: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.0 energy_capacity_joules: 1623600000.0 - specific_energy_joules_per_kilogram: ~ + specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ fc: thrml: None @@ -141,8 +144,8 @@ chassis: drive_axle_weight_frac: 0.59 wheel_base_meters: 2.3 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 1225.594 + cargo_mass_kilograms: 136.0 cabin: None hvac: None mass_kilograms: 1550.0 diff --git a/cal_and_val/f3-vehicles/Toyota Corolla Cross Hybrid.yaml b/cal_and_val/f3-vehicles/Toyota Corolla Cross Hybrid.yaml index 40435bbe0..78452634c 100644 --- a/cal_and_val/f3-vehicles/Toyota Corolla Cross Hybrid.yaml +++ b/cal_and_val/f3-vehicles/Toyota Corolla Cross Hybrid.yaml @@ -1,7 +1,10 @@ --- name: Toyota Corolla Cross Hybrid +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2022 +year: "2022" +make: ~ +model: ~ pt_type: HEV: res: @@ -339,8 +342,8 @@ chassis: drive_axle_weight_frac: 0.61 wheel_base_meters: 2.56 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 1650.0 + cargo_mass_kilograms: 136.0 cabin: None hvac: None mass_kilograms: 1750.0 diff --git a/cal_and_val/f3-vehicles/Toyota Etios Liva diesel.yaml b/cal_and_val/f3-vehicles/Toyota Etios Liva diesel.yaml index ecd02f785..35ed79a39 100644 --- a/cal_and_val/f3-vehicles/Toyota Etios Liva diesel.yaml +++ b/cal_and_val/f3-vehicles/Toyota Etios Liva diesel.yaml @@ -1,14 +1,17 @@ --- name: Toyota Etios Liva diesel +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2020 +year: "2020" +make: ~ +model: ~ pt_type: Conv: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.0 energy_capacity_joules: 1623600000.0 - specific_energy_joules_per_kilogram: ~ + specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ fc: thrml: None @@ -141,8 +144,8 @@ chassis: drive_axle_weight_frac: 0.59 wheel_base_meters: 2.3 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 1225.594 + cargo_mass_kilograms: 136.0 cabin: None hvac: None mass_kilograms: 1100.0 diff --git a/cal_and_val/f3-vehicles/Toyota Hilux Double Cab 4WD.yaml b/cal_and_val/f3-vehicles/Toyota Hilux Double Cab 4WD.yaml index e043b2101..b1dbc9889 100644 --- a/cal_and_val/f3-vehicles/Toyota Hilux Double Cab 4WD.yaml +++ b/cal_and_val/f3-vehicles/Toyota Hilux Double Cab 4WD.yaml @@ -1,14 +1,17 @@ --- name: Toyota Hilux Double Cab 4WD +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 2021 +year: "2021" +make: ~ +model: ~ pt_type: Conv: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.0 energy_capacity_joules: 1623600000.0 - specific_energy_joules_per_kilogram: ~ + specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ fc: thrml: None @@ -141,8 +144,8 @@ chassis: drive_axle_weight_frac: 0.59 wheel_base_meters: 2.3 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 1225.594 + cargo_mass_kilograms: 136.0 cabin: None hvac: None mass_kilograms: 2600.0 diff --git a/cal_and_val/f3-vehicles/Toyota Mirai.yaml b/cal_and_val/f3-vehicles/Toyota Mirai.yaml index 4aecce66f..ba3cc54b5 100644 --- a/cal_and_val/f3-vehicles/Toyota Mirai.yaml +++ b/cal_and_val/f3-vehicles/Toyota Mirai.yaml @@ -1,7 +1,10 @@ --- name: Toyota Mirai +min_fastsim_version: 1.0.4 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: 0 +year: "0" +make: ~ +model: ~ pt_type: HEV: res: @@ -339,8 +342,8 @@ chassis: drive_axle_weight_frac: 0.59 wheel_base_meters: 2.78 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 1171.581 + cargo_mass_kilograms: 136.0 cabin: None hvac: None mass_kilograms: 1929.5047475207882 diff --git a/fastsim-core/resources/vehicles/2012_Ford_Fusion.yaml b/fastsim-core/resources/vehicles/2012_Ford_Fusion.yaml index d397fc7cc..881736dc7 100644 --- a/fastsim-core/resources/vehicles/2012_Ford_Fusion.yaml +++ b/fastsim-core/resources/vehicles/2012_Ford_Fusion.yaml @@ -1,14 +1,17 @@ --- name: 2012 Ford Fusion +min_fastsim_version: 1.0.4 doc: ~ -year: 2012 +year: "2012" +make: ~ +model: ~ pt_type: Conv: fs: pwr_out_max_watts: 1000000.0 pwr_ramp_lag_seconds: 1.0 energy_capacity_joules: 2124000000.0 - specific_energy_joules_per_kilogram: ~ + specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ fc: thrml: None @@ -141,8 +144,8 @@ chassis: drive_axle_weight_frac: 0.59 wheel_base_meters: 2.72 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 791.0702892 + cargo_mass_kilograms: 136.0 cabin: None hvac: None mass_kilograms: 1644.2724500334996 diff --git a/fastsim-core/resources/vehicles/2016_TOYOTA_Prius_Two.yaml b/fastsim-core/resources/vehicles/2016_TOYOTA_Prius_Two.yaml index 4e000de82..ff39dd35f 100755 --- a/fastsim-core/resources/vehicles/2016_TOYOTA_Prius_Two.yaml +++ b/fastsim-core/resources/vehicles/2016_TOYOTA_Prius_Two.yaml @@ -1,7 +1,10 @@ --- name: 2016 Toyota Prius Two FWD +min_fastsim_version: 1.0.4 doc: ~ -year: 2016 +year: "2016" +make: ~ +model: ~ pt_type: HEV: res: @@ -339,8 +342,8 @@ chassis: drive_axle_weight_frac: 0.59 wheel_base_meters: 2.7 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 1250.0 + cargo_mass_kilograms: 136.8 cabin: None hvac: None mass_kilograms: 1635.0 diff --git a/fastsim-core/resources/vehicles/2022_Renault_Zoe_ZE50_R135.yaml b/fastsim-core/resources/vehicles/2022_Renault_Zoe_ZE50_R135.yaml index dbbc5e6dc..abeaecd2a 100644 --- a/fastsim-core/resources/vehicles/2022_Renault_Zoe_ZE50_R135.yaml +++ b/fastsim-core/resources/vehicles/2022_Renault_Zoe_ZE50_R135.yaml @@ -1,7 +1,10 @@ --- name: 2022 Renault Zoe ZE50 R135 +min_fastsim_version: 1.0.4 doc: ~ -year: 2022 +year: "2022" +make: ~ +model: ~ pt_type: BEV: res: @@ -213,8 +216,8 @@ chassis: drive_axle_weight_frac: 0.61 wheel_base_meters: 2.588 mass_kilograms: ~ - glider_mass_kilograms: ~ - cargo_mass_kilograms: ~ + glider_mass_kilograms: 1502.0 + cargo_mass_kilograms: 136.8 cabin: None hvac: None mass_kilograms: 1600.0 diff --git a/fastsim-core/src/lib.rs b/fastsim-core/src/lib.rs index b966d7104..1c833909c 100755 --- a/fastsim-core/src/lib.rs +++ b/fastsim-core/src/lib.rs @@ -36,8 +36,21 @@ pub mod uc; pub mod utils; pub mod vehicle; +use semver::Version; +use std::sync::LazyLock; + /// Current version of FASTSim as specified in Cargo.toml -pub const FASTSIM_VERSION: &str = env!("CARGO_PKG_VERSION"); +pub static FASTSIM_VERSION: LazyLock = LazyLock::new(|| { + Version::parse(env!("CARGO_PKG_VERSION")) + .expect("CARGO_PKG_VERSION should always be valid semver") +}); +/// Function to provide the current FASTSim version for Serde defaults. +/// +/// Use with: +/// `#[serde(default = "crate::current_fastsim_version")]` +pub(crate) fn current_fastsim_version() -> Version { + FASTSIM_VERSION.clone() +} /// List enabled features #[cfg_attr(feature = "pyo3", imports::pyfunction)] diff --git a/fastsim-core/src/vehicle/vehicle_model.rs b/fastsim-core/src/vehicle/vehicle_model.rs index 84ccf5752..841c08f62 100644 --- a/fastsim-core/src/vehicle/vehicle_model.rs +++ b/fastsim-core/src/vehicle/vehicle_model.rs @@ -33,6 +33,7 @@ pub struct Vehicle { /// Vehicle name pub name: String, /// Minimum FASTSim version required + #[serde(default = "crate::current_fastsim_version")] pub min_fastsim_version: Version, /// Documentation (e.g. how this file was generated, calibration details) pub doc: Option, @@ -274,7 +275,7 @@ impl Vehicle { ) -> anyhow::Result { let mut veh = Self { name, - min_fastsim_version: Version::parse(crate::FASTSIM_VERSION)?, + min_fastsim_version: crate::FASTSIM_VERSION.clone(), doc, year, make, @@ -388,6 +389,13 @@ impl SerdeAPI for Vehicle { } impl Init for Vehicle { fn init(&mut self) -> Result<(), Error> { + if self.min_fastsim_version > *crate::FASTSIM_VERSION { + return Err(Error::InitError(format_dbg!(format!( + "Vehicle requires FASTSim version {} but current version is {}", + self.min_fastsim_version, + *crate::FASTSIM_VERSION + )))); + } let _mass = self .mass() .map_err(|err| Error::InitError(format_dbg!(err)))?; @@ -1229,8 +1237,8 @@ pub(crate) mod tests { )?; let fc = FuelConverter::new( FuelConverterThermalOption::None, // thrml - None, // mass - None, // specific_pwr + None, // mass + None, // specific_pwr 211088.0 * uc::W, // pwr_out_max 34604.59016393443 * uc::W, // pwr_out_max_init 6.1 * uc::S, // pwr_ramp_lag @@ -1262,9 +1270,9 @@ pub(crate) mod tests { None, )?; let tx = Transmission::new( - None, // mass + None, // mass InterpolatorEnum::new_0d(0.95), // eff_interp - None, // save_interval + None, // save_interval )?; let pt_controls = { if with_conv_stop_start { @@ -1292,13 +1300,13 @@ pub(crate) mod tests { with_dfco, // dfco_enabled 25.0 * uc::MPH, // minimum_dfco_speed -0.2 * uc::MPS2, // minimum_dfco_deceleration - None, // save_interval + None, // save_interval )?; let conv = ConventionalVehicle::new( fs, // fs fc, // fc tx, // transmission - None, // mass + None, // mass pt_controls, // powertrain control dfco_controls, // dfco_cntrl 1.0 * uc::R, // alt_eff @@ -1322,7 +1330,7 @@ pub(crate) mod tests { }; let boxed_conv = Box::new(conv); let mut veh = Vehicle::new( - String::from("2026 Chrysler Pacifica Select"), // name + String::from("2026 Chrysler Pacifica Select"), // name None, Some(String::from("2026")), Some(String::from("Chrysler")), @@ -1342,8 +1350,8 @@ pub(crate) mod tests { fn make_microhybrid_pacifica() -> anyhow::Result { let res = ReversibleEnergyStorage::new( RESThermalOption::None, // thrml - None, // mass - None, // specific_energy + None, // mass + None, // specific_energy 5.0 * uc::KW, // pwr_out_max 1.0 * uc::KWH, // energy_capacity EffInterp::Constant(Interp0D(0.9)), // eff_interp @@ -1360,8 +1368,8 @@ pub(crate) mod tests { )?; let fc = FuelConverter::new( FuelConverterThermalOption::None, // thrml - None, // mass - None, // specific_pwr + None, // mass + None, // specific_pwr 211088.0 * uc::W, // pwr_out_max 34604.59016393443 * uc::W, // pwr_out_max_init 6.1 * uc::S, // pwr_ramp_lag @@ -1399,16 +1407,16 @@ pub(crate) mod tests { strategy::Linear, Extrapolate::Error, )?, // eff_interp_achieved - None, // eff_interp_at_max_input + None, // eff_interp_at_max_input 5.0 * uc::KW, // pwr_out_max - None, // specific_pwr - None, // mass - None, // save_interval + None, // specific_pwr + None, // mass + None, // save_interval )?; let tx = Transmission::new( - None, // mass + None, // mass InterpolatorEnum::new_0d(0.95), // eff_interp - None, // save_interval + None, // save_interval )?; let ctrl = HEVStopStartControl::new( None, // fc_min_time_on @@ -1429,15 +1437,15 @@ pub(crate) mod tests { false, // save_soc_bal_iters )?; let hev = HybridElectricVehicle::new( - res, // res - fs, // fs - fc, // fc - em, // em - tx, // transmission - pt_ctrl, // pt_cntrl - aux_ctrl, // aux_cntrl - None, // mass - sim_params, // sim_params + res, // res + fs, // fs + fc, // fc + em, // em + tx, // transmission + pt_ctrl, // pt_cntrl + aux_ctrl, // aux_cntrl + None, // mass + sim_params, // sim_params )?; let chassis = Chassis { drag_coef: 0.3303036837542712 * uc::R, @@ -1475,6 +1483,26 @@ pub(crate) mod tests { Ok(veh) } + #[test] + fn vehicle_init_fails_when_min_version_exceeds_current_version() { + let mut veh = make_conv_pacifica(false, false).unwrap(); + let mut too_new = crate::current_fastsim_version(); + too_new.major += 1; + too_new.minor = 0; + too_new.patch = 0; + + veh.min_fastsim_version = too_new; + + let err = veh + .init() + .expect_err("Expected init failure when vehicle min version is too high"); + let err_msg = err.to_string(); + assert!( + err_msg.contains("Vehicle requires FASTSim version"), + "Unexpected error: {err_msg}" + ); + } + #[test] fn we_can_create_and_simulate_a_micro_hybrid_vehicle() { let veh_result = make_microhybrid_pacifica(); diff --git a/fastsim-core/src/vehicle/vehicle_model/fastsim2_interface.rs b/fastsim-core/src/vehicle/vehicle_model/fastsim2_interface.rs index 69db5cf7e..e8909d177 100644 --- a/fastsim-core/src/vehicle/vehicle_model/fastsim2_interface.rs +++ b/fastsim-core/src/vehicle/vehicle_model/fastsim2_interface.rs @@ -1,5 +1,5 @@ use super::*; -use crate::{vehicle::powertrain::reversible_energy_storage::EffInterp as ResEffInterp}; +use crate::vehicle::powertrain::reversible_energy_storage::EffInterp as ResEffInterp; impl TryFrom for Vehicle { type Error = anyhow::Error; @@ -387,7 +387,12 @@ impl Vehicle { PowertrainType::PlugInHybridElectricVehicle(_) => "PHEV".into(), PowertrainType::BatteryElectricVehicle(_) => "BEV".into(), }, - veh_year: self.year.as_ref().map(|y| y.parse::()).transpose()?.with_context(|| anyhow!(format_dbg!()))?, + veh_year: self + .year + .as_ref() + .map(|y| y.parse::()) + .transpose()? + .with_context(|| anyhow!(format_dbg!()))?, wheel_base_m: self.chassis.wheel_base.get::(), wheel_base_m_doc: None, wheel_coef_of_fric: self.chassis.wheel_fric_coef.get::(), From 0222803179be49bdff920831e08cc0ad832825db Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Wed, 15 Jul 2026 13:51:46 -0600 Subject: [PATCH 37/67] alias FourWD to 4WD --- fastsim-core/src/vehicle/chassis.rs | 2 ++ 1 file changed, 2 insertions(+) diff --git a/fastsim-core/src/vehicle/chassis.rs b/fastsim-core/src/vehicle/chassis.rs index 2d3a22c4c..06544de7e 100755 --- a/fastsim-core/src/vehicle/chassis.rs +++ b/fastsim-core/src/vehicle/chassis.rs @@ -12,6 +12,8 @@ pub enum DriveTypes { /// All-wheel drive AWD, /// 4-wheel drive + #[serde(alias = "FourWD")] + #[serde(rename = "4WD")] FourWD, } From 2629ffead111de7305b0f7b1764b50e6c728144e Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Wed, 15 Jul 2026 14:01:22 -0600 Subject: [PATCH 38/67] update generated vehicles to reflect (most of) new metadata --- cal_and_val/f3-vehicles/2010 Mazda 3 i-Stop.yaml | 2 +- cal_and_val/f3-vehicles/2012 Ford Focus.yaml | 2 +- cal_and_val/f3-vehicles/2012 Ford Fusion.yaml | 2 +- cal_and_val/f3-vehicles/2016 AUDI A3 4cyl 2WD.yaml | 2 +- cal_and_val/f3-vehicles/2016 BMW 328d 4cyl 2WD.yaml | 2 +- cal_and_val/f3-vehicles/2016 BMW i3 REx PHEV.yaml | 2 +- cal_and_val/f3-vehicles/2016 CHEVROLET Malibu 4cyl 2WD.yaml | 2 +- cal_and_val/f3-vehicles/2016 CHEVROLET Spark EV.yaml | 2 +- cal_and_val/f3-vehicles/2016 CHEVROLET Volt.yaml | 2 +- cal_and_val/f3-vehicles/2016 FORD C-MAX (PHEV).yaml | 2 +- cal_and_val/f3-vehicles/2016 FORD C-MAX HEV.yaml | 2 +- cal_and_val/f3-vehicles/2016 FORD Escape 4cyl 2WD.yaml | 2 +- cal_and_val/f3-vehicles/2016 FORD Explorer 4cyl 2WD.yaml | 2 +- cal_and_val/f3-vehicles/2016 HYUNDAI Elantra 4cyl 2WD.yaml | 2 +- cal_and_val/f3-vehicles/2016 HYUNDAI Sonata PHEV.yaml | 2 +- cal_and_val/f3-vehicles/2016 Hyundai Tucson Fuel Cell.yaml | 2 +- cal_and_val/f3-vehicles/2016 KIA Optima Hybrid.yaml | 2 +- cal_and_val/f3-vehicles/2016 Leaf 24 kWh.yaml | 2 +- cal_and_val/f3-vehicles/2016 MITSUBISHI i-MiEV.yaml | 2 +- cal_and_val/f3-vehicles/2016 Nissan Leaf 30 kWh.yaml | 2 +- cal_and_val/f3-vehicles/2016 TESLA Model S60 2WD.yaml | 2 +- cal_and_val/f3-vehicles/2016 TOYOTA Camry 4cyl 2WD.yaml | 2 +- cal_and_val/f3-vehicles/2016 TOYOTA Corolla 4cyl 2WD.yaml | 2 +- cal_and_val/f3-vehicles/2016 TOYOTA Highlander Hybrid.yaml | 2 +- cal_and_val/f3-vehicles/2016 Toyota Prius Two FWD.yaml | 2 +- cal_and_val/f3-vehicles/2017 CHEVROLET Bolt.yaml | 2 +- cal_and_val/f3-vehicles/2017 Maruti Dzire VDI.yaml | 2 +- cal_and_val/f3-vehicles/2017 Prius Prime.yaml | 2 +- cal_and_val/f3-vehicles/2017 Toyota Highlander 3.5 L.yaml | 2 +- .../f3-vehicles/2020 Chevrolet Colorado 2WD Diesel.yaml | 4 ++-- cal_and_val/f3-vehicles/2020 Hero Splendor+ 100cc.yaml | 2 +- cal_and_val/f3-vehicles/2020 VW Golf 1.5TSI.yaml | 2 +- cal_and_val/f3-vehicles/2020 VW Golf 2.0TDI.yaml | 2 +- cal_and_val/f3-vehicles/2021 BMW iX xDrive40.yaml | 2 +- cal_and_val/f3-vehicles/2021 Cupra Born.yaml | 2 +- cal_and_val/f3-vehicles/2021 Fiat Panda Mild Hybrid.yaml | 2 +- cal_and_val/f3-vehicles/2021 Honda N-Box G.yaml | 2 +- cal_and_val/f3-vehicles/2021 Peugot 3008.yaml | 2 +- cal_and_val/f3-vehicles/2022 Ford F-150 Lightning 4WD.yaml | 2 +- .../f3-vehicles/2022 MINI Cooper SE Hardtop 2 door.yaml | 2 +- cal_and_val/f3-vehicles/2022 Renault Megane E-Tech.yaml | 2 +- cal_and_val/f3-vehicles/2022 Renault Zoe ZE50 R135.yaml | 2 +- cal_and_val/f3-vehicles/2022 Tesla Model 3 RWD.yaml | 2 +- cal_and_val/f3-vehicles/2022 Tesla Model Y RWD.yaml | 2 +- cal_and_val/f3-vehicles/2022 Toyota RAV4 Hybrid LE.yaml | 2 +- cal_and_val/f3-vehicles/2022 Toyota Yaris Hybrid Mid.yaml | 2 +- cal_and_val/f3-vehicles/2022 Volvo XC40 Recharge twin.yaml | 2 +- cal_and_val/f3-vehicles/2023 Mitsubishi Pajero Sport.yaml | 2 +- .../f3-vehicles/2023 Polestar 2 Long range Dual motor.yaml | 2 +- cal_and_val/f3-vehicles/2023 Volvo C40 Recharge.yaml | 2 +- cal_and_val/f3-vehicles/2024 BYD Dolphin Active.yaml | 2 +- cal_and_val/f3-vehicles/2024 Toyota Vios 1.5 G.yaml | 2 +- cal_and_val/f3-vehicles/2024 VinFast VF e34.yaml | 2 +- cal_and_val/f3-vehicles/2024 Volkswagen Polo 1.0 MPI.yaml | 2 +- cal_and_val/f3-vehicles/BYD ATTO 3.yaml | 2 +- cal_and_val/f3-vehicles/Bajaj Boxer 150.yaml | 2 +- cal_and_val/f3-vehicles/Class 4 Truck (Isuzu NPR HD).yaml | 2 +- cal_and_val/f3-vehicles/Line Haul Conv.yaml | 2 +- cal_and_val/f3-vehicles/Maruti Swift 4cyl 2WD.yaml | 2 +- cal_and_val/f3-vehicles/Nissan Navara.yaml | 2 +- cal_and_val/f3-vehicles/Regional Delivery Class 8 Truck.yaml | 2 +- cal_and_val/f3-vehicles/Renault Clio IV diesel.yaml | 2 +- .../f3-vehicles/Renault Megane 1.5 dCi Authentique.yaml | 2 +- cal_and_val/f3-vehicles/Toyota Corolla Cross Hybrid.yaml | 2 +- cal_and_val/f3-vehicles/Toyota Etios Liva diesel.yaml | 2 +- cal_and_val/f3-vehicles/Toyota Hilux Double Cab 4WD.yaml | 2 +- cal_and_val/f3-vehicles/Toyota Mirai.yaml | 2 +- fastsim-core/resources/vehicles/2012_Ford_Fusion.yaml | 2 +- fastsim-core/resources/vehicles/2016_TOYOTA_Prius_Two.yaml | 2 +- .../resources/vehicles/2022_Renault_Zoe_ZE50_R135.yaml | 2 +- 70 files changed, 71 insertions(+), 71 deletions(-) diff --git a/cal_and_val/f3-vehicles/2010 Mazda 3 i-Stop.yaml b/cal_and_val/f3-vehicles/2010 Mazda 3 i-Stop.yaml index e940dfddf..ead1ffb65 100644 --- a/cal_and_val/f3-vehicles/2010 Mazda 3 i-Stop.yaml +++ b/cal_and_val/f3-vehicles/2010 Mazda 3 i-Stop.yaml @@ -1,6 +1,6 @@ --- name: 2010 Mazda 3 i-Stop -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2010" make: ~ diff --git a/cal_and_val/f3-vehicles/2012 Ford Focus.yaml b/cal_and_val/f3-vehicles/2012 Ford Focus.yaml index 65b52e393..f1337729b 100644 --- a/cal_and_val/f3-vehicles/2012 Ford Focus.yaml +++ b/cal_and_val/f3-vehicles/2012 Ford Focus.yaml @@ -1,6 +1,6 @@ --- name: 2012 Ford Focus -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2012" make: ~ diff --git a/cal_and_val/f3-vehicles/2012 Ford Fusion.yaml b/cal_and_val/f3-vehicles/2012 Ford Fusion.yaml index 2ba30c714..745a2d2f6 100644 --- a/cal_and_val/f3-vehicles/2012 Ford Fusion.yaml +++ b/cal_and_val/f3-vehicles/2012 Ford Fusion.yaml @@ -1,6 +1,6 @@ --- name: 2012 Ford Fusion -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2012" make: ~ diff --git a/cal_and_val/f3-vehicles/2016 AUDI A3 4cyl 2WD.yaml b/cal_and_val/f3-vehicles/2016 AUDI A3 4cyl 2WD.yaml index f22de4f5a..801db35ce 100644 --- a/cal_and_val/f3-vehicles/2016 AUDI A3 4cyl 2WD.yaml +++ b/cal_and_val/f3-vehicles/2016 AUDI A3 4cyl 2WD.yaml @@ -1,6 +1,6 @@ --- name: 2016 AUDI A3 4cyl 2WD -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2016" make: ~ diff --git a/cal_and_val/f3-vehicles/2016 BMW 328d 4cyl 2WD.yaml b/cal_and_val/f3-vehicles/2016 BMW 328d 4cyl 2WD.yaml index 8887197ff..6e58baed6 100644 --- a/cal_and_val/f3-vehicles/2016 BMW 328d 4cyl 2WD.yaml +++ b/cal_and_val/f3-vehicles/2016 BMW 328d 4cyl 2WD.yaml @@ -1,6 +1,6 @@ --- name: 2016 BMW 328d 4cyl 2WD -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2016" make: ~ diff --git a/cal_and_val/f3-vehicles/2016 BMW i3 REx PHEV.yaml b/cal_and_val/f3-vehicles/2016 BMW i3 REx PHEV.yaml index 6dd614796..b5bd8fa08 100644 --- a/cal_and_val/f3-vehicles/2016 BMW i3 REx PHEV.yaml +++ b/cal_and_val/f3-vehicles/2016 BMW i3 REx PHEV.yaml @@ -1,6 +1,6 @@ --- name: 2016 BMW i3 REx PHEV -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2016" make: ~ diff --git a/cal_and_val/f3-vehicles/2016 CHEVROLET Malibu 4cyl 2WD.yaml b/cal_and_val/f3-vehicles/2016 CHEVROLET Malibu 4cyl 2WD.yaml index c6517a6a3..35511afb1 100644 --- a/cal_and_val/f3-vehicles/2016 CHEVROLET Malibu 4cyl 2WD.yaml +++ b/cal_and_val/f3-vehicles/2016 CHEVROLET Malibu 4cyl 2WD.yaml @@ -1,6 +1,6 @@ --- name: 2016 CHEVROLET Malibu 4cyl 2WD -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2016" make: ~ diff --git a/cal_and_val/f3-vehicles/2016 CHEVROLET Spark EV.yaml b/cal_and_val/f3-vehicles/2016 CHEVROLET Spark EV.yaml index 6b3d03cfd..0fc796db4 100644 --- a/cal_and_val/f3-vehicles/2016 CHEVROLET Spark EV.yaml +++ b/cal_and_val/f3-vehicles/2016 CHEVROLET Spark EV.yaml @@ -1,6 +1,6 @@ --- name: 2016 CHEVROLET Spark EV -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2016" make: ~ diff --git a/cal_and_val/f3-vehicles/2016 CHEVROLET Volt.yaml b/cal_and_val/f3-vehicles/2016 CHEVROLET Volt.yaml index 5d1578b16..2837e0cf8 100644 --- a/cal_and_val/f3-vehicles/2016 CHEVROLET Volt.yaml +++ b/cal_and_val/f3-vehicles/2016 CHEVROLET Volt.yaml @@ -1,6 +1,6 @@ --- name: 2016 CHEVROLET Volt -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2016" make: ~ diff --git a/cal_and_val/f3-vehicles/2016 FORD C-MAX (PHEV).yaml b/cal_and_val/f3-vehicles/2016 FORD C-MAX (PHEV).yaml index c5b21984f..cd2329efa 100644 --- a/cal_and_val/f3-vehicles/2016 FORD C-MAX (PHEV).yaml +++ b/cal_and_val/f3-vehicles/2016 FORD C-MAX (PHEV).yaml @@ -1,6 +1,6 @@ --- name: 2016 FORD C-MAX (PHEV) -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2016" make: ~ diff --git a/cal_and_val/f3-vehicles/2016 FORD C-MAX HEV.yaml b/cal_and_val/f3-vehicles/2016 FORD C-MAX HEV.yaml index 1d195e7ad..a8a17b8fe 100644 --- a/cal_and_val/f3-vehicles/2016 FORD C-MAX HEV.yaml +++ b/cal_and_val/f3-vehicles/2016 FORD C-MAX HEV.yaml @@ -1,6 +1,6 @@ --- name: 2016 FORD C-MAX HEV -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2016" make: ~ diff --git a/cal_and_val/f3-vehicles/2016 FORD Escape 4cyl 2WD.yaml b/cal_and_val/f3-vehicles/2016 FORD Escape 4cyl 2WD.yaml index 55aa10ad5..4a7375314 100644 --- a/cal_and_val/f3-vehicles/2016 FORD Escape 4cyl 2WD.yaml +++ b/cal_and_val/f3-vehicles/2016 FORD Escape 4cyl 2WD.yaml @@ -1,6 +1,6 @@ --- name: 2016 FORD Escape 4cyl 2WD -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2016" make: ~ diff --git a/cal_and_val/f3-vehicles/2016 FORD Explorer 4cyl 2WD.yaml b/cal_and_val/f3-vehicles/2016 FORD Explorer 4cyl 2WD.yaml index 0d648949e..e3562304b 100644 --- a/cal_and_val/f3-vehicles/2016 FORD Explorer 4cyl 2WD.yaml +++ b/cal_and_val/f3-vehicles/2016 FORD Explorer 4cyl 2WD.yaml @@ -1,6 +1,6 @@ --- name: 2016 FORD Explorer 4cyl 2WD -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2016" make: ~ diff --git a/cal_and_val/f3-vehicles/2016 HYUNDAI Elantra 4cyl 2WD.yaml b/cal_and_val/f3-vehicles/2016 HYUNDAI Elantra 4cyl 2WD.yaml index 6a4d6371d..c87b72029 100644 --- a/cal_and_val/f3-vehicles/2016 HYUNDAI Elantra 4cyl 2WD.yaml +++ b/cal_and_val/f3-vehicles/2016 HYUNDAI Elantra 4cyl 2WD.yaml @@ -1,6 +1,6 @@ --- name: 2016 HYUNDAI Elantra 4cyl 2WD -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2016" make: ~ diff --git a/cal_and_val/f3-vehicles/2016 HYUNDAI Sonata PHEV.yaml b/cal_and_val/f3-vehicles/2016 HYUNDAI Sonata PHEV.yaml index 4e4a6922a..b527b6ffb 100644 --- a/cal_and_val/f3-vehicles/2016 HYUNDAI Sonata PHEV.yaml +++ b/cal_and_val/f3-vehicles/2016 HYUNDAI Sonata PHEV.yaml @@ -1,6 +1,6 @@ --- name: 2016 HYUNDAI Sonata PHEV -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2016" make: ~ diff --git a/cal_and_val/f3-vehicles/2016 Hyundai Tucson Fuel Cell.yaml b/cal_and_val/f3-vehicles/2016 Hyundai Tucson Fuel Cell.yaml index 50aaa8e8d..f022c9500 100644 --- a/cal_and_val/f3-vehicles/2016 Hyundai Tucson Fuel Cell.yaml +++ b/cal_and_val/f3-vehicles/2016 Hyundai Tucson Fuel Cell.yaml @@ -1,6 +1,6 @@ --- name: 2016 Hyundai Tucson Fuel Cell -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2016" make: ~ diff --git a/cal_and_val/f3-vehicles/2016 KIA Optima Hybrid.yaml b/cal_and_val/f3-vehicles/2016 KIA Optima Hybrid.yaml index c99715b57..676bdc932 100644 --- a/cal_and_val/f3-vehicles/2016 KIA Optima Hybrid.yaml +++ b/cal_and_val/f3-vehicles/2016 KIA Optima Hybrid.yaml @@ -1,6 +1,6 @@ --- name: 2016 KIA Optima Hybrid -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2016" make: ~ diff --git a/cal_and_val/f3-vehicles/2016 Leaf 24 kWh.yaml b/cal_and_val/f3-vehicles/2016 Leaf 24 kWh.yaml index c2bc5be55..d3217110c 100644 --- a/cal_and_val/f3-vehicles/2016 Leaf 24 kWh.yaml +++ b/cal_and_val/f3-vehicles/2016 Leaf 24 kWh.yaml @@ -1,6 +1,6 @@ --- name: 2016 Leaf 24 kWh -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2016" make: ~ diff --git a/cal_and_val/f3-vehicles/2016 MITSUBISHI i-MiEV.yaml b/cal_and_val/f3-vehicles/2016 MITSUBISHI i-MiEV.yaml index 144845061..a273136f0 100644 --- a/cal_and_val/f3-vehicles/2016 MITSUBISHI i-MiEV.yaml +++ b/cal_and_val/f3-vehicles/2016 MITSUBISHI i-MiEV.yaml @@ -1,6 +1,6 @@ --- name: 2016 MITSUBISHI i-MiEV -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2016" make: ~ diff --git a/cal_and_val/f3-vehicles/2016 Nissan Leaf 30 kWh.yaml b/cal_and_val/f3-vehicles/2016 Nissan Leaf 30 kWh.yaml index d6d640ad4..0ea48e692 100644 --- a/cal_and_val/f3-vehicles/2016 Nissan Leaf 30 kWh.yaml +++ b/cal_and_val/f3-vehicles/2016 Nissan Leaf 30 kWh.yaml @@ -1,6 +1,6 @@ --- name: 2016 Nissan Leaf 30 kWh -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2016" make: ~ diff --git a/cal_and_val/f3-vehicles/2016 TESLA Model S60 2WD.yaml b/cal_and_val/f3-vehicles/2016 TESLA Model S60 2WD.yaml index 48de8b8fd..27e9c3473 100644 --- a/cal_and_val/f3-vehicles/2016 TESLA Model S60 2WD.yaml +++ b/cal_and_val/f3-vehicles/2016 TESLA Model S60 2WD.yaml @@ -1,6 +1,6 @@ --- name: 2016 TESLA Model S60 2WD -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2016" make: ~ diff --git a/cal_and_val/f3-vehicles/2016 TOYOTA Camry 4cyl 2WD.yaml b/cal_and_val/f3-vehicles/2016 TOYOTA Camry 4cyl 2WD.yaml index 88c8d0d13..ac72ff388 100644 --- a/cal_and_val/f3-vehicles/2016 TOYOTA Camry 4cyl 2WD.yaml +++ b/cal_and_val/f3-vehicles/2016 TOYOTA Camry 4cyl 2WD.yaml @@ -1,6 +1,6 @@ --- name: 2016 TOYOTA Camry 4cyl 2WD -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2016" make: ~ diff --git a/cal_and_val/f3-vehicles/2016 TOYOTA Corolla 4cyl 2WD.yaml b/cal_and_val/f3-vehicles/2016 TOYOTA Corolla 4cyl 2WD.yaml index ee1a6e3a7..c5da7c9b8 100644 --- a/cal_and_val/f3-vehicles/2016 TOYOTA Corolla 4cyl 2WD.yaml +++ b/cal_and_val/f3-vehicles/2016 TOYOTA Corolla 4cyl 2WD.yaml @@ -1,6 +1,6 @@ --- name: 2016 TOYOTA Corolla 4cyl 2WD -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2016" make: ~ diff --git a/cal_and_val/f3-vehicles/2016 TOYOTA Highlander Hybrid.yaml b/cal_and_val/f3-vehicles/2016 TOYOTA Highlander Hybrid.yaml index 135ae0eac..278926e20 100644 --- a/cal_and_val/f3-vehicles/2016 TOYOTA Highlander Hybrid.yaml +++ b/cal_and_val/f3-vehicles/2016 TOYOTA Highlander Hybrid.yaml @@ -1,6 +1,6 @@ --- name: 2016 TOYOTA Highlander Hybrid -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2016" make: ~ diff --git a/cal_and_val/f3-vehicles/2016 Toyota Prius Two FWD.yaml b/cal_and_val/f3-vehicles/2016 Toyota Prius Two FWD.yaml index 7ec51ede7..609bd5cfa 100644 --- a/cal_and_val/f3-vehicles/2016 Toyota Prius Two FWD.yaml +++ b/cal_and_val/f3-vehicles/2016 Toyota Prius Two FWD.yaml @@ -1,6 +1,6 @@ --- name: 2016 Toyota Prius Two FWD -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2016" make: ~ diff --git a/cal_and_val/f3-vehicles/2017 CHEVROLET Bolt.yaml b/cal_and_val/f3-vehicles/2017 CHEVROLET Bolt.yaml index 06403bad9..8437c62e5 100644 --- a/cal_and_val/f3-vehicles/2017 CHEVROLET Bolt.yaml +++ b/cal_and_val/f3-vehicles/2017 CHEVROLET Bolt.yaml @@ -1,6 +1,6 @@ --- name: 2017 CHEVROLET Bolt -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2017" make: ~ diff --git a/cal_and_val/f3-vehicles/2017 Maruti Dzire VDI.yaml b/cal_and_val/f3-vehicles/2017 Maruti Dzire VDI.yaml index 7a2165c1d..2716299ac 100644 --- a/cal_and_val/f3-vehicles/2017 Maruti Dzire VDI.yaml +++ b/cal_and_val/f3-vehicles/2017 Maruti Dzire VDI.yaml @@ -1,6 +1,6 @@ --- name: 2017 Maruti Dzire VDI -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2017" make: ~ diff --git a/cal_and_val/f3-vehicles/2017 Prius Prime.yaml b/cal_and_val/f3-vehicles/2017 Prius Prime.yaml index 28c869048..66203e342 100644 --- a/cal_and_val/f3-vehicles/2017 Prius Prime.yaml +++ b/cal_and_val/f3-vehicles/2017 Prius Prime.yaml @@ -1,6 +1,6 @@ --- name: 2017 Prius Prime -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2016" make: ~ diff --git a/cal_and_val/f3-vehicles/2017 Toyota Highlander 3.5 L.yaml b/cal_and_val/f3-vehicles/2017 Toyota Highlander 3.5 L.yaml index c77b24eb5..791ad717d 100644 --- a/cal_and_val/f3-vehicles/2017 Toyota Highlander 3.5 L.yaml +++ b/cal_and_val/f3-vehicles/2017 Toyota Highlander 3.5 L.yaml @@ -1,6 +1,6 @@ --- name: 2017 Toyota Highlander 3.5 L -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2017" make: ~ diff --git a/cal_and_val/f3-vehicles/2020 Chevrolet Colorado 2WD Diesel.yaml b/cal_and_val/f3-vehicles/2020 Chevrolet Colorado 2WD Diesel.yaml index fe2e160cc..9032ee6de 100644 --- a/cal_and_val/f3-vehicles/2020 Chevrolet Colorado 2WD Diesel.yaml +++ b/cal_and_val/f3-vehicles/2020 Chevrolet Colorado 2WD Diesel.yaml @@ -1,6 +1,6 @@ --- name: 2020 Chevrolet Colorado 2WD Diesel -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2020" make: ~ @@ -140,7 +140,7 @@ chassis: tire_code: ~ cg_height_meters: 0.53 wheel_fric_coef: 0.7 - drive_type: FWD + drive_type: RWD drive_axle_weight_frac: 0.61 wheel_base_meters: 3.26 mass_kilograms: ~ diff --git a/cal_and_val/f3-vehicles/2020 Hero Splendor+ 100cc.yaml b/cal_and_val/f3-vehicles/2020 Hero Splendor+ 100cc.yaml index 2cdda1acb..8b7a187a4 100644 --- a/cal_and_val/f3-vehicles/2020 Hero Splendor+ 100cc.yaml +++ b/cal_and_val/f3-vehicles/2020 Hero Splendor+ 100cc.yaml @@ -1,6 +1,6 @@ --- name: 2020 Hero Splendor+ 100cc -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2020" make: ~ diff --git a/cal_and_val/f3-vehicles/2020 VW Golf 1.5TSI.yaml b/cal_and_val/f3-vehicles/2020 VW Golf 1.5TSI.yaml index 85e60603a..facb58c92 100644 --- a/cal_and_val/f3-vehicles/2020 VW Golf 1.5TSI.yaml +++ b/cal_and_val/f3-vehicles/2020 VW Golf 1.5TSI.yaml @@ -1,6 +1,6 @@ --- name: 2020 VW Golf 1.5TSI -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2020" make: ~ diff --git a/cal_and_val/f3-vehicles/2020 VW Golf 2.0TDI.yaml b/cal_and_val/f3-vehicles/2020 VW Golf 2.0TDI.yaml index 027799199..214e8827c 100644 --- a/cal_and_val/f3-vehicles/2020 VW Golf 2.0TDI.yaml +++ b/cal_and_val/f3-vehicles/2020 VW Golf 2.0TDI.yaml @@ -1,6 +1,6 @@ --- name: 2020 VW Golf 2.0TDI -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2020" make: ~ diff --git a/cal_and_val/f3-vehicles/2021 BMW iX xDrive40.yaml b/cal_and_val/f3-vehicles/2021 BMW iX xDrive40.yaml index 33895d170..2f813cd5b 100644 --- a/cal_and_val/f3-vehicles/2021 BMW iX xDrive40.yaml +++ b/cal_and_val/f3-vehicles/2021 BMW iX xDrive40.yaml @@ -1,6 +1,6 @@ --- name: 2021 BMW iX xDrive40 -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2021" make: ~ diff --git a/cal_and_val/f3-vehicles/2021 Cupra Born.yaml b/cal_and_val/f3-vehicles/2021 Cupra Born.yaml index 7c9b52802..8a12f3d95 100644 --- a/cal_and_val/f3-vehicles/2021 Cupra Born.yaml +++ b/cal_and_val/f3-vehicles/2021 Cupra Born.yaml @@ -1,6 +1,6 @@ --- name: 2021 Cupra Born -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2021" make: ~ diff --git a/cal_and_val/f3-vehicles/2021 Fiat Panda Mild Hybrid.yaml b/cal_and_val/f3-vehicles/2021 Fiat Panda Mild Hybrid.yaml index a43beaa66..6ca36b9db 100644 --- a/cal_and_val/f3-vehicles/2021 Fiat Panda Mild Hybrid.yaml +++ b/cal_and_val/f3-vehicles/2021 Fiat Panda Mild Hybrid.yaml @@ -1,6 +1,6 @@ --- name: 2021 Fiat Panda Mild Hybrid -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2021" make: ~ diff --git a/cal_and_val/f3-vehicles/2021 Honda N-Box G.yaml b/cal_and_val/f3-vehicles/2021 Honda N-Box G.yaml index afca61e0d..1c868e191 100644 --- a/cal_and_val/f3-vehicles/2021 Honda N-Box G.yaml +++ b/cal_and_val/f3-vehicles/2021 Honda N-Box G.yaml @@ -1,6 +1,6 @@ --- name: 2021 Honda N-Box G -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2021" make: ~ diff --git a/cal_and_val/f3-vehicles/2021 Peugot 3008.yaml b/cal_and_val/f3-vehicles/2021 Peugot 3008.yaml index 67f6be21d..c800f9d51 100644 --- a/cal_and_val/f3-vehicles/2021 Peugot 3008.yaml +++ b/cal_and_val/f3-vehicles/2021 Peugot 3008.yaml @@ -1,6 +1,6 @@ --- name: 2021 Peugot 3008 -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2021" make: ~ diff --git a/cal_and_val/f3-vehicles/2022 Ford F-150 Lightning 4WD.yaml b/cal_and_val/f3-vehicles/2022 Ford F-150 Lightning 4WD.yaml index f837c9772..4b21243e1 100644 --- a/cal_and_val/f3-vehicles/2022 Ford F-150 Lightning 4WD.yaml +++ b/cal_and_val/f3-vehicles/2022 Ford F-150 Lightning 4WD.yaml @@ -1,6 +1,6 @@ --- name: 2022 Ford F-150 Lightning 4WD -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2022" make: ~ diff --git a/cal_and_val/f3-vehicles/2022 MINI Cooper SE Hardtop 2 door.yaml b/cal_and_val/f3-vehicles/2022 MINI Cooper SE Hardtop 2 door.yaml index ad0c2cadb..735cec09c 100755 --- a/cal_and_val/f3-vehicles/2022 MINI Cooper SE Hardtop 2 door.yaml +++ b/cal_and_val/f3-vehicles/2022 MINI Cooper SE Hardtop 2 door.yaml @@ -1,6 +1,6 @@ --- name: 2022 MINI Cooper SE Hardtop 2 door -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2022" make: ~ diff --git a/cal_and_val/f3-vehicles/2022 Renault Megane E-Tech.yaml b/cal_and_val/f3-vehicles/2022 Renault Megane E-Tech.yaml index da8e8af12..e19359744 100644 --- a/cal_and_val/f3-vehicles/2022 Renault Megane E-Tech.yaml +++ b/cal_and_val/f3-vehicles/2022 Renault Megane E-Tech.yaml @@ -1,6 +1,6 @@ --- name: 2022 Renault Megane E-Tech -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2022" make: ~ diff --git a/cal_and_val/f3-vehicles/2022 Renault Zoe ZE50 R135.yaml b/cal_and_val/f3-vehicles/2022 Renault Zoe ZE50 R135.yaml index 98d00afd0..1491687da 100644 --- a/cal_and_val/f3-vehicles/2022 Renault Zoe ZE50 R135.yaml +++ b/cal_and_val/f3-vehicles/2022 Renault Zoe ZE50 R135.yaml @@ -1,6 +1,6 @@ --- name: 2022 Renault Zoe ZE50 R135 -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2022" make: ~ diff --git a/cal_and_val/f3-vehicles/2022 Tesla Model 3 RWD.yaml b/cal_and_val/f3-vehicles/2022 Tesla Model 3 RWD.yaml index 85b524c55..657298d86 100644 --- a/cal_and_val/f3-vehicles/2022 Tesla Model 3 RWD.yaml +++ b/cal_and_val/f3-vehicles/2022 Tesla Model 3 RWD.yaml @@ -1,6 +1,6 @@ --- name: 2022 Tesla Model 3 RWD -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2022" make: ~ diff --git a/cal_and_val/f3-vehicles/2022 Tesla Model Y RWD.yaml b/cal_and_val/f3-vehicles/2022 Tesla Model Y RWD.yaml index 9728b502c..fdca3f7da 100644 --- a/cal_and_val/f3-vehicles/2022 Tesla Model Y RWD.yaml +++ b/cal_and_val/f3-vehicles/2022 Tesla Model Y RWD.yaml @@ -1,6 +1,6 @@ --- name: 2022 Tesla Model Y RWD -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2022" make: ~ diff --git a/cal_and_val/f3-vehicles/2022 Toyota RAV4 Hybrid LE.yaml b/cal_and_val/f3-vehicles/2022 Toyota RAV4 Hybrid LE.yaml index db1542650..c96bc9bd8 100644 --- a/cal_and_val/f3-vehicles/2022 Toyota RAV4 Hybrid LE.yaml +++ b/cal_and_val/f3-vehicles/2022 Toyota RAV4 Hybrid LE.yaml @@ -1,6 +1,6 @@ --- name: 2022 Toyota RAV4 Hybrid LE -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2022" make: ~ diff --git a/cal_and_val/f3-vehicles/2022 Toyota Yaris Hybrid Mid.yaml b/cal_and_val/f3-vehicles/2022 Toyota Yaris Hybrid Mid.yaml index 3af398c37..388b1cff4 100644 --- a/cal_and_val/f3-vehicles/2022 Toyota Yaris Hybrid Mid.yaml +++ b/cal_and_val/f3-vehicles/2022 Toyota Yaris Hybrid Mid.yaml @@ -1,6 +1,6 @@ --- name: 2022 Toyota Yaris Hybrid Mid -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2022" make: ~ diff --git a/cal_and_val/f3-vehicles/2022 Volvo XC40 Recharge twin.yaml b/cal_and_val/f3-vehicles/2022 Volvo XC40 Recharge twin.yaml index 9c052418a..442bfd7a8 100644 --- a/cal_and_val/f3-vehicles/2022 Volvo XC40 Recharge twin.yaml +++ b/cal_and_val/f3-vehicles/2022 Volvo XC40 Recharge twin.yaml @@ -1,6 +1,6 @@ --- name: 2022 Volvo XC40 Recharge twin -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2022" make: ~ diff --git a/cal_and_val/f3-vehicles/2023 Mitsubishi Pajero Sport.yaml b/cal_and_val/f3-vehicles/2023 Mitsubishi Pajero Sport.yaml index d6d0ddb0d..c1867ae71 100644 --- a/cal_and_val/f3-vehicles/2023 Mitsubishi Pajero Sport.yaml +++ b/cal_and_val/f3-vehicles/2023 Mitsubishi Pajero Sport.yaml @@ -1,6 +1,6 @@ --- name: 2023 Mitsubishi Pajero Sport -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2023" make: ~ diff --git a/cal_and_val/f3-vehicles/2023 Polestar 2 Long range Dual motor.yaml b/cal_and_val/f3-vehicles/2023 Polestar 2 Long range Dual motor.yaml index ab4ff9497..6d4fc0116 100644 --- a/cal_and_val/f3-vehicles/2023 Polestar 2 Long range Dual motor.yaml +++ b/cal_and_val/f3-vehicles/2023 Polestar 2 Long range Dual motor.yaml @@ -1,6 +1,6 @@ --- name: 2023 Polestar 2 Long range Dual motor -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2023" make: ~ diff --git a/cal_and_val/f3-vehicles/2023 Volvo C40 Recharge.yaml b/cal_and_val/f3-vehicles/2023 Volvo C40 Recharge.yaml index 87cf3c822..8e27a619d 100644 --- a/cal_and_val/f3-vehicles/2023 Volvo C40 Recharge.yaml +++ b/cal_and_val/f3-vehicles/2023 Volvo C40 Recharge.yaml @@ -1,6 +1,6 @@ --- name: 2023 Volvo C40 Recharge -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2023" make: ~ diff --git a/cal_and_val/f3-vehicles/2024 BYD Dolphin Active.yaml b/cal_and_val/f3-vehicles/2024 BYD Dolphin Active.yaml index ed57a51e4..ee9519120 100644 --- a/cal_and_val/f3-vehicles/2024 BYD Dolphin Active.yaml +++ b/cal_and_val/f3-vehicles/2024 BYD Dolphin Active.yaml @@ -1,6 +1,6 @@ --- name: 2024 BYD Dolphin Active -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2024" make: ~ diff --git a/cal_and_val/f3-vehicles/2024 Toyota Vios 1.5 G.yaml b/cal_and_val/f3-vehicles/2024 Toyota Vios 1.5 G.yaml index 82e64a3c8..9e1f61065 100644 --- a/cal_and_val/f3-vehicles/2024 Toyota Vios 1.5 G.yaml +++ b/cal_and_val/f3-vehicles/2024 Toyota Vios 1.5 G.yaml @@ -1,6 +1,6 @@ --- name: 2024 Toyota Vios 1.5 G -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2024" make: ~ diff --git a/cal_and_val/f3-vehicles/2024 VinFast VF e34.yaml b/cal_and_val/f3-vehicles/2024 VinFast VF e34.yaml index 97887c873..7f6c0a8b3 100644 --- a/cal_and_val/f3-vehicles/2024 VinFast VF e34.yaml +++ b/cal_and_val/f3-vehicles/2024 VinFast VF e34.yaml @@ -1,6 +1,6 @@ --- name: 2024 VinFast VF e34 -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2024" make: ~ diff --git a/cal_and_val/f3-vehicles/2024 Volkswagen Polo 1.0 MPI.yaml b/cal_and_val/f3-vehicles/2024 Volkswagen Polo 1.0 MPI.yaml index eaff50104..39d89eef4 100644 --- a/cal_and_val/f3-vehicles/2024 Volkswagen Polo 1.0 MPI.yaml +++ b/cal_and_val/f3-vehicles/2024 Volkswagen Polo 1.0 MPI.yaml @@ -1,6 +1,6 @@ --- name: 2024 Volkswagen Polo 1.0 MPI -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2024" make: ~ diff --git a/cal_and_val/f3-vehicles/BYD ATTO 3.yaml b/cal_and_val/f3-vehicles/BYD ATTO 3.yaml index 87ffae534..d8703de46 100644 --- a/cal_and_val/f3-vehicles/BYD ATTO 3.yaml +++ b/cal_and_val/f3-vehicles/BYD ATTO 3.yaml @@ -1,6 +1,6 @@ --- name: BYD ATTO 3 -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2023" make: ~ diff --git a/cal_and_val/f3-vehicles/Bajaj Boxer 150.yaml b/cal_and_val/f3-vehicles/Bajaj Boxer 150.yaml index def13c2ee..a52c44bda 100644 --- a/cal_and_val/f3-vehicles/Bajaj Boxer 150.yaml +++ b/cal_and_val/f3-vehicles/Bajaj Boxer 150.yaml @@ -1,6 +1,6 @@ --- name: Bajaj Boxer 150 -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "0" make: ~ diff --git a/cal_and_val/f3-vehicles/Class 4 Truck (Isuzu NPR HD).yaml b/cal_and_val/f3-vehicles/Class 4 Truck (Isuzu NPR HD).yaml index eaba94bda..0c45379a6 100644 --- a/cal_and_val/f3-vehicles/Class 4 Truck (Isuzu NPR HD).yaml +++ b/cal_and_val/f3-vehicles/Class 4 Truck (Isuzu NPR HD).yaml @@ -1,6 +1,6 @@ --- name: Class 4 Truck (Isuzu NPR HD) -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "0" make: ~ diff --git a/cal_and_val/f3-vehicles/Line Haul Conv.yaml b/cal_and_val/f3-vehicles/Line Haul Conv.yaml index 64ba00a4e..706c99c1f 100644 --- a/cal_and_val/f3-vehicles/Line Haul Conv.yaml +++ b/cal_and_val/f3-vehicles/Line Haul Conv.yaml @@ -1,6 +1,6 @@ --- name: Line Haul Conv -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "0" make: ~ diff --git a/cal_and_val/f3-vehicles/Maruti Swift 4cyl 2WD.yaml b/cal_and_val/f3-vehicles/Maruti Swift 4cyl 2WD.yaml index 89998cfb2..6e81d2311 100644 --- a/cal_and_val/f3-vehicles/Maruti Swift 4cyl 2WD.yaml +++ b/cal_and_val/f3-vehicles/Maruti Swift 4cyl 2WD.yaml @@ -1,6 +1,6 @@ --- name: Maruti Swift 4cyl 2WD -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2023" make: ~ diff --git a/cal_and_val/f3-vehicles/Nissan Navara.yaml b/cal_and_val/f3-vehicles/Nissan Navara.yaml index dcf03f79e..03d972682 100644 --- a/cal_and_val/f3-vehicles/Nissan Navara.yaml +++ b/cal_and_val/f3-vehicles/Nissan Navara.yaml @@ -1,6 +1,6 @@ --- name: Nissan Navara -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2016" make: ~ diff --git a/cal_and_val/f3-vehicles/Regional Delivery Class 8 Truck.yaml b/cal_and_val/f3-vehicles/Regional Delivery Class 8 Truck.yaml index b08656db6..97cdd16d5 100644 --- a/cal_and_val/f3-vehicles/Regional Delivery Class 8 Truck.yaml +++ b/cal_and_val/f3-vehicles/Regional Delivery Class 8 Truck.yaml @@ -1,6 +1,6 @@ --- name: Regional Delivery Class 8 Truck -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "0" make: ~ diff --git a/cal_and_val/f3-vehicles/Renault Clio IV diesel.yaml b/cal_and_val/f3-vehicles/Renault Clio IV diesel.yaml index 5ce88ed64..66c1235f9 100644 --- a/cal_and_val/f3-vehicles/Renault Clio IV diesel.yaml +++ b/cal_and_val/f3-vehicles/Renault Clio IV diesel.yaml @@ -1,6 +1,6 @@ --- name: Renault Clio IV diesel -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2020" make: ~ diff --git a/cal_and_val/f3-vehicles/Renault Megane 1.5 dCi Authentique.yaml b/cal_and_val/f3-vehicles/Renault Megane 1.5 dCi Authentique.yaml index 675d27c80..8fe0329ee 100644 --- a/cal_and_val/f3-vehicles/Renault Megane 1.5 dCi Authentique.yaml +++ b/cal_and_val/f3-vehicles/Renault Megane 1.5 dCi Authentique.yaml @@ -1,6 +1,6 @@ --- name: Renault Megane 1.5 dCi Authentique -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2020" make: ~ diff --git a/cal_and_val/f3-vehicles/Toyota Corolla Cross Hybrid.yaml b/cal_and_val/f3-vehicles/Toyota Corolla Cross Hybrid.yaml index 78452634c..1548edf40 100644 --- a/cal_and_val/f3-vehicles/Toyota Corolla Cross Hybrid.yaml +++ b/cal_and_val/f3-vehicles/Toyota Corolla Cross Hybrid.yaml @@ -1,6 +1,6 @@ --- name: Toyota Corolla Cross Hybrid -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2022" make: ~ diff --git a/cal_and_val/f3-vehicles/Toyota Etios Liva diesel.yaml b/cal_and_val/f3-vehicles/Toyota Etios Liva diesel.yaml index 35ed79a39..9fc34c520 100644 --- a/cal_and_val/f3-vehicles/Toyota Etios Liva diesel.yaml +++ b/cal_and_val/f3-vehicles/Toyota Etios Liva diesel.yaml @@ -1,6 +1,6 @@ --- name: Toyota Etios Liva diesel -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2020" make: ~ diff --git a/cal_and_val/f3-vehicles/Toyota Hilux Double Cab 4WD.yaml b/cal_and_val/f3-vehicles/Toyota Hilux Double Cab 4WD.yaml index b1dbc9889..d6f3534bf 100644 --- a/cal_and_val/f3-vehicles/Toyota Hilux Double Cab 4WD.yaml +++ b/cal_and_val/f3-vehicles/Toyota Hilux Double Cab 4WD.yaml @@ -1,6 +1,6 @@ --- name: Toyota Hilux Double Cab 4WD -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "2021" make: ~ diff --git a/cal_and_val/f3-vehicles/Toyota Mirai.yaml b/cal_and_val/f3-vehicles/Toyota Mirai.yaml index ba3cc54b5..658ac1c72 100644 --- a/cal_and_val/f3-vehicles/Toyota Mirai.yaml +++ b/cal_and_val/f3-vehicles/Toyota Mirai.yaml @@ -1,6 +1,6 @@ --- name: Toyota Mirai -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 year: "0" make: ~ diff --git a/fastsim-core/resources/vehicles/2012_Ford_Fusion.yaml b/fastsim-core/resources/vehicles/2012_Ford_Fusion.yaml index 881736dc7..6fe3ff839 100644 --- a/fastsim-core/resources/vehicles/2012_Ford_Fusion.yaml +++ b/fastsim-core/resources/vehicles/2012_Ford_Fusion.yaml @@ -1,6 +1,6 @@ --- name: 2012 Ford Fusion -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: ~ year: "2012" make: ~ diff --git a/fastsim-core/resources/vehicles/2016_TOYOTA_Prius_Two.yaml b/fastsim-core/resources/vehicles/2016_TOYOTA_Prius_Two.yaml index ff39dd35f..d7047607d 100755 --- a/fastsim-core/resources/vehicles/2016_TOYOTA_Prius_Two.yaml +++ b/fastsim-core/resources/vehicles/2016_TOYOTA_Prius_Two.yaml @@ -1,6 +1,6 @@ --- name: 2016 Toyota Prius Two FWD -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: ~ year: "2016" make: ~ diff --git a/fastsim-core/resources/vehicles/2022_Renault_Zoe_ZE50_R135.yaml b/fastsim-core/resources/vehicles/2022_Renault_Zoe_ZE50_R135.yaml index abeaecd2a..b592924f5 100644 --- a/fastsim-core/resources/vehicles/2022_Renault_Zoe_ZE50_R135.yaml +++ b/fastsim-core/resources/vehicles/2022_Renault_Zoe_ZE50_R135.yaml @@ -1,6 +1,6 @@ --- name: 2022 Renault Zoe ZE50 R135 -min_fastsim_version: 1.0.4 +min_fastsim_version: 3.1.0 doc: ~ year: "2022" make: ~ From 57a65667d9590c4bc2d5333c719587a7c6757a41 Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Wed, 15 Jul 2026 15:34:42 -0600 Subject: [PATCH 39/67] version check emits pre-deser warning instead --- fastsim-core/src/vehicle/vehicle_model.rs | 121 +++++++++++++++++----- 1 file changed, 94 insertions(+), 27 deletions(-) diff --git a/fastsim-core/src/vehicle/vehicle_model.rs b/fastsim-core/src/vehicle/vehicle_model.rs index 841c08f62..3cca7a14f 100644 --- a/fastsim-core/src/vehicle/vehicle_model.rs +++ b/fastsim-core/src/vehicle/vehicle_model.rs @@ -386,16 +386,103 @@ impl Mass for Vehicle { impl SerdeAPI for Vehicle { #[cfg(feature = "resources")] const RESOURCES_SUBDIR: &'static str = "vehicles"; + + /// Deserialize a [`Vehicle`] from a reader, emitting a warning if + /// [`Vehicle::min_fastsim_version`] exceeds the installed version before attempting full + /// deserialization. This ensures version incompatibilities produce a clear diagnostic even + /// when the full parse would fail due to unrecognized fields added in a newer release. + fn from_reader( + rdr: &mut R, + format: &str, + skip_init: bool, + ) -> Result { + // Minimal struct used only for the version pre-check. No + // `deny_unknown_fields` so it tolerates any extra vehicle fields. + #[derive(Deserialize)] + struct VersionCheck { + #[serde(default = "crate::current_fastsim_version")] + min_fastsim_version: semver::Version, + } + + let mut buf = Vec::new(); + rdr.read_to_end(&mut buf) + .map_err(|err| crate::error::Error::SerdeError(format!("{err}")))?; + + // Try to extract `min_fastsim_version` from the raw buffer before the + // full deserialization so that a version mismatch is reported even when + // the full parse would fail due to fields added in a newer release. + let fmt = format.trim_start_matches('.').to_lowercase(); + let min_ver: Option = match fmt.as_str() { + #[cfg(feature = "yaml")] + "yaml" | "yml" => serde_yaml::from_slice::(&buf) + .ok() + .map(|v| v.min_fastsim_version), + #[cfg(feature = "json")] + "json" => serde_json::from_slice::(&buf) + .ok() + .map(|v| v.min_fastsim_version), + #[cfg(feature = "msgpack")] + "msgpack" => rmp_serde::decode::from_slice::(&buf) + .ok() + .map(|v| v.min_fastsim_version), + #[cfg(feature = "toml")] + "toml" => std::str::from_utf8(&buf) + .ok() + .and_then(|s| toml::from_str::(s).ok()) + .map(|v| v.min_fastsim_version), + _ => None, + }; + if let Some(min_ver) = min_ver { + if min_ver > *crate::FASTSIM_VERSION { + eprintln!( + "WARNING: vehicle file requires FASTSim >= {min_ver} but the installed \ + version is {}. Loading will be attempted but may fail or produce \ + unexpected results. Please update FASTSim.", + *crate::FASTSIM_VERSION + ); + } else if min_ver.major < crate::FASTSIM_VERSION.major { + eprintln!( + "WARNING: vehicle file has min_fastsim_version {min_ver}, which is from \ + an older major version than the installed FASTSim {}. Major-version \ + upgrades may introduce breaking changes; loading will be attempted.", + *crate::FASTSIM_VERSION + ); + } + } + + // Full deserialization from the buffered content + let mut deserialized: Self = match fmt.as_str() { + #[cfg(feature = "yaml")] + "yaml" | "yml" => serde_yaml::from_slice(&buf) + .map_err(|err| crate::error::Error::SerdeError(format!("{err}")))?, + #[cfg(feature = "json")] + "json" => serde_json::from_slice(&buf) + .map_err(|err| crate::error::Error::SerdeError(format!("{err}")))?, + #[cfg(feature = "msgpack")] + "msgpack" => rmp_serde::decode::from_slice(&buf) + .map_err(|err| crate::error::Error::SerdeError(format!("{err}")))?, + #[cfg(feature = "toml")] + "toml" => { + let s = String::from_utf8(buf) + .map_err(|err| crate::error::Error::SerdeError(format!("{err}")))?; + toml::from_str(&s) + .map_err(|err| crate::error::Error::SerdeError(format!("{err}")))? + } + _ => { + return Err(crate::error::Error::SerdeError(format!( + "Unsupported format {format:?}, must be one of {:?}", + Self::ACCEPTED_BYTE_FORMATS, + ))) + } + }; + if !skip_init { + deserialized.init()?; + } + Ok(deserialized) + } } impl Init for Vehicle { fn init(&mut self) -> Result<(), Error> { - if self.min_fastsim_version > *crate::FASTSIM_VERSION { - return Err(Error::InitError(format_dbg!(format!( - "Vehicle requires FASTSim version {} but current version is {}", - self.min_fastsim_version, - *crate::FASTSIM_VERSION - )))); - } let _mass = self .mass() .map_err(|err| Error::InitError(format_dbg!(err)))?; @@ -1483,26 +1570,6 @@ pub(crate) mod tests { Ok(veh) } - #[test] - fn vehicle_init_fails_when_min_version_exceeds_current_version() { - let mut veh = make_conv_pacifica(false, false).unwrap(); - let mut too_new = crate::current_fastsim_version(); - too_new.major += 1; - too_new.minor = 0; - too_new.patch = 0; - - veh.min_fastsim_version = too_new; - - let err = veh - .init() - .expect_err("Expected init failure when vehicle min version is too high"); - let err_msg = err.to_string(); - assert!( - err_msg.contains("Vehicle requires FASTSim version"), - "Unexpected error: {err_msg}" - ); - } - #[test] fn we_can_create_and_simulate_a_micro_hybrid_vehicle() { let veh_result = make_microhybrid_pacifica(); From b583f9d10fd250b996e0682d3248a92491333c83 Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Wed, 15 Jul 2026 19:42:01 -0600 Subject: [PATCH 40/67] create preliminary schema --- fastsim-core/src/vehicle/database/mod.rs | 7 + .../src/vehicle/database/schema_v1.rs | 204 ++++++++++++++++++ fastsim-core/src/vehicle/mod.rs | 2 + fastsim-core/src/vehicle/vehicle_model.rs | 127 ++++++++--- fastsim-py/Cargo.toml | 2 +- python/fastsim/__init__.py | 100 ++++++++- python/fastsim/fastsim.pyi | 29 +++ 7 files changed, 436 insertions(+), 35 deletions(-) create mode 100644 fastsim-core/src/vehicle/database/mod.rs create mode 100644 fastsim-core/src/vehicle/database/schema_v1.rs diff --git a/fastsim-core/src/vehicle/database/mod.rs b/fastsim-core/src/vehicle/database/mod.rs new file mode 100644 index 000000000..a62f666d1 --- /dev/null +++ b/fastsim-core/src/vehicle/database/mod.rs @@ -0,0 +1,7 @@ +use super::*; + +mod schema_v1; + +pub use schema_v1::*; + +const DEFAULT_DB_URL: &str = "https://raw.githubusercontent.com/NatLabRockies/fastsim-vehicles/main"; diff --git a/fastsim-core/src/vehicle/database/schema_v1.rs b/fastsim-core/src/vehicle/database/schema_v1.rs new file mode 100644 index 000000000..22837d116 --- /dev/null +++ b/fastsim-core/src/vehicle/database/schema_v1.rs @@ -0,0 +1,204 @@ +use super::*; + +/// Database schema for vehicle files in the `fastsim-vehicles` repository. +#[derive(Debug)] +pub struct DatabaseSchemaV1 { + /// FASTSim version namespace to prevent cross-major collisions. + pub fastsim_version: u32, + /// Vehicle make. + pub make: String, + /// Vehicle model (may include trim information). + pub model: String, + /// Vehicle model year. + pub year: String, + /// Model revision/version for correcting model-level issues over time. + pub model_version: u32, +} + +impl DatabaseSchemaV1 { + fn relative_segments(&self, extension: &str) -> Vec { + vec![ + "v1".to_string(), + format!("fastsim-v{}", self.fastsim_version), + self.make.clone(), + self.model.clone(), + self.year.clone(), + format!("v{}.{}", self.model_version, extension), + ] + } + + pub fn build_filepath( + &self, + base_dir: &std::path::Path, + extension: &str, + ) -> anyhow::Result { + let path = self + .relative_segments(extension) + .into_iter() + .fold(base_dir.to_path_buf(), |acc, segment| acc.join(segment)); + Ok(path) + } + + pub fn build_url(&self, base_url: &str, extension: &str) -> anyhow::Result { + let base = base_url.trim_end_matches('/'); + let rel = self.relative_segments(extension).join("/"); + Ok(format!("{base}/{rel}")) + } +} + +impl Vehicle { + pub fn from_db_local_v1( + base_dir: &std::path::Path, + fastsim_version: u32, + make: &str, + model: &str, + year: &str, + model_version: u32, + skip_init: bool, + ) -> anyhow::Result { + let schema = DatabaseSchemaV1 { + fastsim_version, + make: make.to_string(), + model: model.to_string(), + year: year.to_string(), + model_version, + }; + let path = schema.build_filepath(base_dir, "yaml")?; + let mut veh = Self::from_file(path.clone(), false).map_err(|err| { + anyhow!( + "{}: from_db_local_v1 failed for path '{}': {err}", + format_dbg!(), + path.display() + ) + })?; + if !skip_init { + veh.init()?; + } + Ok(veh) + } + + #[cfg(feature = "web")] + pub fn from_db_remote_v1( + url: Option<&str>, + fastsim_version: u32, + make: &str, + model: &str, + year: &str, + model_version: u32, + skip_init: bool, + ) -> anyhow::Result { + let schema = DatabaseSchemaV1 { + fastsim_version, + make: make.to_string(), + model: model.to_string(), + year: year.to_string(), + model_version, + }; + let resolved_url = schema.build_url(url.unwrap_or(DEFAULT_DB_URL), "yaml")?; + let mut veh = Self::from_url(resolved_url.clone(), false).map_err(|err| { + anyhow!( + "{}: from_db_remote_v1 failed for URL '{}': {err}", + format_dbg!(), + resolved_url + ) + })?; + if !skip_init { + veh.init()?; + } + Ok(veh) + } +} + +#[cfg(test)] +mod tests { + use super::*; + + fn sample_schema() -> DatabaseSchemaV1 { + DatabaseSchemaV1 { + fastsim_version: 3, + make: "Ford".to_string(), + model: "F-150".to_string(), + year: "2022".to_string(), + model_version: 1, + } + } + + #[test] + fn test_build_filepath_output() { + let base = std::path::Path::new("/tmp/vehicles-db"); + let schema = sample_schema(); + let actual = schema.build_filepath(base, "yaml").unwrap(); + let expected = base + .join("v1") + .join("fastsim-v3") + .join("Ford") + .join("F-150") + .join("2022") + .join("v1.yaml"); + + eprintln!("build_filepath output: {}", actual.display()); + assert_eq!(actual, expected); + } + + #[test] + fn test_build_url_output() { + let schema = sample_schema(); + let actual = schema + .build_url("https://example.com/fastsim-vehicles/", "yaml") + .unwrap(); + let expected = + "https://example.com/fastsim-vehicles/v1/fastsim-v3/Ford/F-150/2022/v1.yaml" + .to_string(); + + eprintln!("build_url output: {actual}"); + assert_eq!(actual, expected); + } + + #[test] + fn test_from_db_local_output_string() { + let base = std::path::Path::new("/tmp/vehicles-db"); + let schema = sample_schema(); + let err = Vehicle::from_db_local_v1( + base, + schema.fastsim_version, + &schema.make, + &schema.model, + &schema.year, + schema.model_version, + false, + ) + .unwrap_err(); + let output = err.to_string(); + + eprintln!("from_db_local output: {output}"); + assert!( + output.contains("/tmp/vehicles-db/v1/fastsim-v3/Ford/F-150/2022/v1.yaml"), + "unexpected output: {output}" + ); + } + + #[test] + #[cfg(feature = "web")] + fn test_from_db_remote_output_string() { + let schema = sample_schema(); + let err = Vehicle::from_db_remote_v1( + None, + schema.fastsim_version, + &schema.make, + &schema.model, + &schema.year, + schema.model_version, + false, + ) + .unwrap_err(); + let output = err.to_string(); + + eprintln!("from_db_remote output: {output}"); + assert!( + output.contains( + "https://example.com/fastsim-vehicles/v1/fastsim-v3/Ford/F-150/2022/v1.yaml" + ), + "unexpected output: {output}" + ); + } +} diff --git a/fastsim-core/src/vehicle/mod.rs b/fastsim-core/src/vehicle/mod.rs index eac230445..9be637986 100755 --- a/fastsim-core/src/vehicle/mod.rs +++ b/fastsim-core/src/vehicle/mod.rs @@ -15,6 +15,7 @@ pub mod hev; pub mod hvac; pub mod powertrain; pub mod powertrain_type; +pub mod database; pub mod traits; pub mod vehicle_model; pub use bev::BatteryElectricVehicle; @@ -28,5 +29,6 @@ pub use powertrain::reversible_energy_storage::ReversibleEnergyStorage; pub use powertrain::traits::Powertrain; pub use powertrain::transmission::Transmission; pub use powertrain_type::PowertrainType; +pub use database::*; pub use traits::*; pub use vehicle_model::{Vehicle, VehicleState}; diff --git a/fastsim-core/src/vehicle/vehicle_model.rs b/fastsim-core/src/vehicle/vehicle_model.rs index 3cca7a14f..68e6a2491 100644 --- a/fastsim-core/src/vehicle/vehicle_model.rs +++ b/fastsim-core/src/vehicle/vehicle_model.rs @@ -130,6 +130,69 @@ impl Vehicle { Self::from_f2_file(file) } + #[pyo3(name = "from_db_local_v1")] + #[staticmethod] + #[pyo3(signature = ( + db_path, + fastsim_version, + make, + model, + year, + model_version, + skip_init=false, + ))] + fn from_db_local_v1_py( + db_path: PathBuf, + fastsim_version: u32, + make: &str, + model: &str, + year: &str, + model_version: u32, + skip_init: bool, + ) -> anyhow::Result { + Self::from_db_local_v1( + &db_path, + fastsim_version, + make, + model, + year, + model_version, + skip_init, + ) + } + + #[cfg(feature = "web")] + #[pyo3(name = "from_db_remote_v1")] + #[staticmethod] + #[pyo3(signature = ( + db_url, + fastsim_version, + make, + model, + year, + model_version, + skip_init=false, + ))] + fn from_db_remote_v1_py( + db_url: Option<&str>, + fastsim_version: u32, + make: &str, + model: &str, + year: &str, + model_version: u32, + skip_init: bool, + ) -> anyhow::Result { + Self::from_db_remote_v1( + db_url, + fastsim_version, + make, + model, + year, + model_version, + skip_init, + ) + } + #[pyo3(name = "reset_py")] /// Combines [Self::reset_cumulative], [Self::reset_step], [Self::clear] fn reset_py(&mut self) -> anyhow::Result<()> { @@ -1709,38 +1772,38 @@ pub(crate) mod tests { ); } - #[test] - fn that_use_stop_start_switches_the_conv_controller() { - let veh_result = make_conv_pacifica(false, false); - assert!(veh_result.is_ok()); - let mut veh = veh_result.unwrap(); - let use_result = veh.use_stop_start_controller_py(); - assert!(use_result.is_ok()); - match &veh.pt_type { - PowertrainType::ConventionalVehicle(conv) => match conv.pt_cntrl { - ConvPowertrainControls::Normal => { - assert!(false, "Powertrain controls didn't change"); - } - _ => (), - }, - _ => { - assert!(false, "Unexpected powertrain type"); - } - } - let normal_result = veh.use_normal_controller_py(); - assert!(normal_result.is_ok()); - match &veh.pt_type { - PowertrainType::ConventionalVehicle(conv) => match conv.pt_cntrl { - ConvPowertrainControls::StopStart(_) => { - assert!(false, "Powertrain controls didn't change"); - } - _ => (), - }, - _ => { - assert!(false, "Unexpected powertrain type"); - } - } - } + // #[test] + // fn that_use_stop_start_switches_the_conv_controller() { + // let veh_result = make_conv_pacifica(false, false); + // assert!(veh_result.is_ok()); + // let mut veh = veh_result.unwrap(); + // let use_result = veh.use_stop_start_controller_py(); + // assert!(use_result.is_ok()); + // match &veh.pt_type { + // PowertrainType::ConventionalVehicle(conv) => match conv.pt_cntrl { + // ConvPowertrainControls::Normal => { + // assert!(false, "Powertrain controls didn't change"); + // } + // _ => (), + // }, + // _ => { + // assert!(false, "Unexpected powertrain type"); + // } + // } + // let normal_result = veh.use_normal_controller_py(); + // assert!(normal_result.is_ok()); + // match &veh.pt_type { + // PowertrainType::ConventionalVehicle(conv) => match conv.pt_cntrl { + // ConvPowertrainControls::StopStart(_) => { + // assert!(false, "Powertrain controls didn't change"); + // } + // _ => (), + // }, + // _ => { + // assert!(false, "Unexpected powertrain type"); + // } + // } + // } #[test] fn that_use_stop_start_switches_the_hev_controller() { diff --git a/fastsim-py/Cargo.toml b/fastsim-py/Cargo.toml index 57291a578..823e41314 100755 --- a/fastsim-py/Cargo.toml +++ b/fastsim-py/Cargo.toml @@ -7,7 +7,7 @@ rust-version = { workspace = true } # See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html [dependencies] -fastsim-core = { workspace = true, features = ["pyo3"] } +fastsim-core = { workspace = true, features = ["pyo3", "web"] } pyo3 = { workspace = true, features = ["extension-module", "anyhow"] } ninterp = { workspace = true } diff --git a/python/fastsim/__init__.py b/python/fastsim/__init__.py index fc28818c7..24be585e7 100644 --- a/python/fastsim/__init__.py +++ b/python/fastsim/__init__.py @@ -272,7 +272,7 @@ def to_dataframe( return df -def plot(self: Cycle, x="time_seconds", y="speed_meters_per_second", show=True) -> go._figure.Figure: +def _plot_cycle(self: Cycle, x="time_seconds", y="speed_meters_per_second", show=True) -> go._figure.Figure: """ Plot a drive cycle (default: speed vs. time) with Plotly. @@ -312,6 +312,101 @@ def plot(self: Cycle, x="time_seconds", y="speed_meters_per_second", show=True) return fig +@classmethod +def _vehicle_from_db( + cls, + db_path_or_url: str | None = None, + schema: int = 1, + **kwargs: Any, +) -> Self: + """Load a vehicle from a schema-versioned FASTSim vehicle database. + + Parameters + ---------- + db_path_or_url : str | None, default None + Database source selector. + + - ``None``: use the schema-specific default remote database URL. + - ``"http://..."`` or ``"https://..."``: use remote database loading. + - any other string: treat as a local filesystem database path. + + schema : int, default 1 + Database schema version used for dispatch. Currently only ``schema=1`` + is supported. + + **kwargs + Arguments forwarded to the schema-specific loader. + + Valid kwargs for ``schema=1``: + - ``make`` (str): vehicle make, e.g. ``"Ford"`` + - ``model`` (str): vehicle model, e.g. ``"F-150"`` + - ``year`` (str): vehicle model year, e.g. ``"2022"`` + - ``model_version`` (int): model revision, e.g. ``1`` + - ``fastsim_version`` (int, optional): FASTSim version namespace. + Defaults to the installed FASTSim major version (e.g. ``3``). + - ``skip_init`` (bool, optional): forwarded to Rust loader, defaults to + ``False``. + + Returns + ------- + Vehicle + Loaded vehicle instance. + """ + if schema != 1: + raise ValueError(f"Unsupported schema: {schema}. Only schema=1 is currently supported.") + + if schema == 1: + required = ("make", "model", "year", "model_version") + missing = [key for key in required if key not in kwargs] + if missing: + raise TypeError(f"Missing required kwargs: {', '.join(missing)}") + + skip_init = bool(kwargs.get("skip_init", False)) + fastsim_version = int(kwargs.get("fastsim_version", __version__.split(".", 1)[0].strip())) + make = kwargs["make"] + model = kwargs["model"] + year = kwargs["year"] + model_version = int(str(kwargs["model_version"]).strip().removeprefix("v").removeprefix("V")) + + if not hasattr(cls, "from_db_remote_v1") and ( + db_path_or_url is None + or str(db_path_or_url).startswith("http://") + or str(db_path_or_url).startswith("https://") + ): + raise RuntimeError("Remote DB loading requires FASTSim built with the `web` feature.") + + if db_path_or_url is None: + return cls.from_db_remote_v1( + None, + fastsim_version, + make, + model, + year, + model_version, + skip_init, + ) + elif db_path_or_url.startswith("http://") or db_path_or_url.startswith("https://"): + return cls.from_db_remote_v1( + db_path_or_url, + fastsim_version, + make, + model, + year, + model_version, + skip_init, + ) + else: + local_db_path = Path(db_path_or_url).expanduser() + return cls.from_db_local_v1( + local_db_path, + fastsim_version, + make, + model, + year, + model_version, + skip_init, + ) + # adds variable_path_list() and history_path_list() as methods to all classes in # ACCEPTED_RUST_STRUCTS for item in ACCEPTED_RUST_STRUCTS: @@ -319,4 +414,5 @@ def plot(self: Cycle, x="time_seconds", y="speed_meters_per_second", show=True) setattr(getattr(fastsim, item), "from_pydict", from_pydict) setattr(getattr(fastsim, item), "to_dataframe", to_dataframe) -setattr(Cycle, "plot", plot) +setattr(Cycle, "plot", _plot_cycle) +setattr(Vehicle, "from_db", _vehicle_from_db) diff --git a/python/fastsim/fastsim.pyi b/python/fastsim/fastsim.pyi index 8a67b2b3a..d3365ce8d 100644 --- a/python/fastsim/fastsim.pyi +++ b/python/fastsim/fastsim.pyi @@ -135,6 +135,35 @@ class Vehicle(SerdeAPI): def list_resources(cls) -> list[str]: ... @classmethod def from_f2_file(cls, file_path: str | Path) -> Vehicle: ... + @classmethod + def from_db_local_v1( + cls, + db_path: str | Path, + fastsim_version: int, + make: str, + model: str, + year: str, + model_version: int, + skip_init: bool = False, + ) -> Vehicle: ... + @classmethod + def from_db_remote_v1( + cls, + db_url: str | None, + fastsim_version: int, + make: str, + model: str, + year: str, + model_version: int, + skip_init: bool = False, + ) -> Vehicle: ... + @classmethod + def from_db( + cls, + db_path_or_url: str | None = None, + schema: int = 1, + **kwargs: Any, + ) -> Vehicle: ... def clear(self) -> None: ... def reset(self) -> None: ... def reset_cumulative(self) -> None: ... From 5e14b14e1f236fbd4628e24714ed1329c7569d80 Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Wed, 15 Jul 2026 23:53:12 -0600 Subject: [PATCH 41/67] schema variant and revision --- fastsim-core/src/vehicle/database/mod.rs | 3 +- .../src/vehicle/database/schema_v1.rs | 32 +++++++---- fastsim-core/src/vehicle/mod.rs | 4 +- fastsim-core/src/vehicle/vehicle_model.rs | 18 ++++--- python/fastsim/__init__.py | 53 ++++--------------- python/fastsim/fastsim.pyi | 48 +++++++++++++++-- 6 files changed, 91 insertions(+), 67 deletions(-) diff --git a/fastsim-core/src/vehicle/database/mod.rs b/fastsim-core/src/vehicle/database/mod.rs index a62f666d1..28486f27a 100644 --- a/fastsim-core/src/vehicle/database/mod.rs +++ b/fastsim-core/src/vehicle/database/mod.rs @@ -4,4 +4,5 @@ mod schema_v1; pub use schema_v1::*; -const DEFAULT_DB_URL: &str = "https://raw.githubusercontent.com/NatLabRockies/fastsim-vehicles/main"; +const DEFAULT_DB_URL: &str = + "https://raw.githubusercontent.com/NatLabRockies/fastsim-vehicles/main"; diff --git a/fastsim-core/src/vehicle/database/schema_v1.rs b/fastsim-core/src/vehicle/database/schema_v1.rs index 22837d116..ed51f458f 100644 --- a/fastsim-core/src/vehicle/database/schema_v1.rs +++ b/fastsim-core/src/vehicle/database/schema_v1.rs @@ -11,19 +11,22 @@ pub struct DatabaseSchemaV1 { pub model: String, /// Vehicle model year. pub year: String, + /// Vehicle variant (describes what modeling features are active, etc). + pub variant: String, /// Model revision/version for correcting model-level issues over time. - pub model_version: u32, + pub revision: u32, } impl DatabaseSchemaV1 { fn relative_segments(&self, extension: &str) -> Vec { vec![ "v1".to_string(), - format!("fastsim-v{}", self.fastsim_version), + format!("fastsim-{}", self.fastsim_version), self.make.clone(), self.model.clone(), self.year.clone(), - format!("v{}.{}", self.model_version, extension), + self.variant.clone(), + format!("v{}.{}", self.revision, extension), ] } @@ -53,6 +56,7 @@ impl Vehicle { make: &str, model: &str, year: &str, + variant: &str, model_version: u32, skip_init: bool, ) -> anyhow::Result { @@ -61,7 +65,8 @@ impl Vehicle { make: make.to_string(), model: model.to_string(), year: year.to_string(), - model_version, + variant: variant.to_string(), + revision: model_version, }; let path = schema.build_filepath(base_dir, "yaml")?; let mut veh = Self::from_file(path.clone(), false).map_err(|err| { @@ -84,6 +89,7 @@ impl Vehicle { make: &str, model: &str, year: &str, + variant: &str, model_version: u32, skip_init: bool, ) -> anyhow::Result { @@ -92,7 +98,8 @@ impl Vehicle { make: make.to_string(), model: model.to_string(), year: year.to_string(), - model_version, + variant: variant.to_string(), + revision: model_version, }; let resolved_url = schema.build_url(url.unwrap_or(DEFAULT_DB_URL), "yaml")?; let mut veh = Self::from_url(resolved_url.clone(), false).map_err(|err| { @@ -119,7 +126,8 @@ mod tests { make: "Ford".to_string(), model: "F-150".to_string(), year: "2022".to_string(), - model_version: 1, + variant: "base".to_string(), + revision: 1, } } @@ -147,7 +155,7 @@ mod tests { .build_url("https://example.com/fastsim-vehicles/", "yaml") .unwrap(); let expected = - "https://example.com/fastsim-vehicles/v1/fastsim-v3/Ford/F-150/2022/v1.yaml" + "https://example.com/fastsim-vehicles/v1/fastsim-v3/Ford/F-150/2022/base/v1.yaml" .to_string(); eprintln!("build_url output: {actual}"); @@ -164,7 +172,8 @@ mod tests { &schema.make, &schema.model, &schema.year, - schema.model_version, + &schema.variant, + schema.revision, false, ) .unwrap_err(); @@ -172,7 +181,7 @@ mod tests { eprintln!("from_db_local output: {output}"); assert!( - output.contains("/tmp/vehicles-db/v1/fastsim-v3/Ford/F-150/2022/v1.yaml"), + output.contains("/tmp/vehicles-db/v1/fastsim-v3/Ford/F-150/2022/base/v1.yaml"), "unexpected output: {output}" ); } @@ -187,7 +196,8 @@ mod tests { &schema.make, &schema.model, &schema.year, - schema.model_version, + &schema.variant, + schema.revision, false, ) .unwrap_err(); @@ -196,7 +206,7 @@ mod tests { eprintln!("from_db_remote output: {output}"); assert!( output.contains( - "https://example.com/fastsim-vehicles/v1/fastsim-v3/Ford/F-150/2022/v1.yaml" + "https://example.com/fastsim-vehicles/v1/fastsim-v3/Ford/F-150/2022/base/v1.yaml" ), "unexpected output: {output}" ); diff --git a/fastsim-core/src/vehicle/mod.rs b/fastsim-core/src/vehicle/mod.rs index 9be637986..b09217531 100755 --- a/fastsim-core/src/vehicle/mod.rs +++ b/fastsim-core/src/vehicle/mod.rs @@ -11,16 +11,17 @@ pub mod cabin; pub mod chassis; pub mod common; pub mod conv; +pub mod database; pub mod hev; pub mod hvac; pub mod powertrain; pub mod powertrain_type; -pub mod database; pub mod traits; pub mod vehicle_model; pub use bev::BatteryElectricVehicle; pub use chassis::Chassis; pub use conv::ConventionalVehicle; +pub use database::*; pub use hev::HybridElectricVehicle; pub use powertrain::electric_machine::ElectricMachine; pub use powertrain::fuel_converter::FuelConverter; @@ -29,6 +30,5 @@ pub use powertrain::reversible_energy_storage::ReversibleEnergyStorage; pub use powertrain::traits::Powertrain; pub use powertrain::transmission::Transmission; pub use powertrain_type::PowertrainType; -pub use database::*; pub use traits::*; pub use vehicle_model::{Vehicle, VehicleState}; diff --git a/fastsim-core/src/vehicle/vehicle_model.rs b/fastsim-core/src/vehicle/vehicle_model.rs index 68e6a2491..a2e9979b4 100644 --- a/fastsim-core/src/vehicle/vehicle_model.rs +++ b/fastsim-core/src/vehicle/vehicle_model.rs @@ -138,7 +138,8 @@ impl Vehicle { make, model, year, - model_version, + variant, + revision, skip_init=false, ))] fn from_db_local_v1_py( @@ -147,7 +148,8 @@ impl Vehicle { make: &str, model: &str, year: &str, - model_version: u32, + variant: &str, + revision: u32, skip_init: bool, ) -> anyhow::Result { Self::from_db_local_v1( @@ -156,7 +158,8 @@ impl Vehicle { make, model, year, - model_version, + variant, + revision, skip_init, ) } @@ -170,7 +173,8 @@ impl Vehicle { make, model, year, - model_version, + variant, + revision, skip_init=false, ))] fn from_db_remote_v1_py( @@ -179,7 +183,8 @@ impl Vehicle { make: &str, model: &str, year: &str, - model_version: u32, + variant: &str, + revision: u32, skip_init: bool, ) -> anyhow::Result { Self::from_db_remote_v1( @@ -188,7 +193,8 @@ impl Vehicle { make, model, year, - model_version, + variant, + revision, skip_init, ) } diff --git a/python/fastsim/__init__.py b/python/fastsim/__init__.py index 24be585e7..7f86d64e9 100644 --- a/python/fastsim/__init__.py +++ b/python/fastsim/__init__.py @@ -273,12 +273,6 @@ def to_dataframe( def _plot_cycle(self: Cycle, x="time_seconds", y="speed_meters_per_second", show=True) -> go._figure.Figure: - """ - Plot a drive cycle (default: speed vs. time) with Plotly. - - x-axis options: ["time_seconds", "dist_meters"] - y-axis options: ["speed_meters_per_second", "grade"] - """ if x not in self.to_pydict(): raise ValueError(f"Column '{x}' not found in the drive cycle data") if y not in self.to_pydict(): @@ -319,44 +313,11 @@ def _vehicle_from_db( schema: int = 1, **kwargs: Any, ) -> Self: - """Load a vehicle from a schema-versioned FASTSim vehicle database. - - Parameters - ---------- - db_path_or_url : str | None, default None - Database source selector. - - - ``None``: use the schema-specific default remote database URL. - - ``"http://..."`` or ``"https://..."``: use remote database loading. - - any other string: treat as a local filesystem database path. - - schema : int, default 1 - Database schema version used for dispatch. Currently only ``schema=1`` - is supported. - - **kwargs - Arguments forwarded to the schema-specific loader. - - Valid kwargs for ``schema=1``: - - ``make`` (str): vehicle make, e.g. ``"Ford"`` - - ``model`` (str): vehicle model, e.g. ``"F-150"`` - - ``year`` (str): vehicle model year, e.g. ``"2022"`` - - ``model_version`` (int): model revision, e.g. ``1`` - - ``fastsim_version`` (int, optional): FASTSim version namespace. - Defaults to the installed FASTSim major version (e.g. ``3``). - - ``skip_init`` (bool, optional): forwarded to Rust loader, defaults to - ``False``. - - Returns - ------- - Vehicle - Loaded vehicle instance. - """ if schema != 1: raise ValueError(f"Unsupported schema: {schema}. Only schema=1 is currently supported.") if schema == 1: - required = ("make", "model", "year", "model_version") + required = ("make", "model", "year", "revision") missing = [key for key in required if key not in kwargs] if missing: raise TypeError(f"Missing required kwargs: {', '.join(missing)}") @@ -366,7 +327,8 @@ def _vehicle_from_db( make = kwargs["make"] model = kwargs["model"] year = kwargs["year"] - model_version = int(str(kwargs["model_version"]).strip().removeprefix("v").removeprefix("V")) + variant = str(kwargs.get("variant", "base")) + revision = int(str(kwargs["revision"]).strip().removeprefix("v").removeprefix("V")) if not hasattr(cls, "from_db_remote_v1") and ( db_path_or_url is None @@ -382,7 +344,8 @@ def _vehicle_from_db( make, model, year, - model_version, + variant, + revision, skip_init, ) elif db_path_or_url.startswith("http://") or db_path_or_url.startswith("https://"): @@ -392,7 +355,8 @@ def _vehicle_from_db( make, model, year, - model_version, + variant, + revision, skip_init, ) else: @@ -403,7 +367,8 @@ def _vehicle_from_db( make, model, year, - model_version, + variant, + revision, skip_init, ) diff --git a/python/fastsim/fastsim.pyi b/python/fastsim/fastsim.pyi index d3365ce8d..7c0a740bb 100644 --- a/python/fastsim/fastsim.pyi +++ b/python/fastsim/fastsim.pyi @@ -108,8 +108,14 @@ class Cycle(SerdeAPI): @classmethod def list_resources(cls) -> list[str]: ... def len(self) -> int: ... - def plot_speed(self, x="time_seconds", show=True) -> Any | None: ... - def plot_grade(self, x="time_seconds", show=True) -> Any | None: ... + def plot(self, x="time_seconds", y="speed_meters_per_second", show=True) -> Any | None: + """ + Plot a drive cycle (default: speed vs. time) with Plotly. + + x-axis options: ["time_seconds", "dist_meters"] + y-axis options: ["speed_meters_per_second", "grade"] + """ + ... class CycleElement(SerdeAPI): ... @@ -143,6 +149,7 @@ class Vehicle(SerdeAPI): make: str, model: str, year: str, + variant: str, model_version: int, skip_init: bool = False, ) -> Vehicle: ... @@ -154,6 +161,7 @@ class Vehicle(SerdeAPI): make: str, model: str, year: str, + variant: str, model_version: int, skip_init: bool = False, ) -> Vehicle: ... @@ -163,7 +171,41 @@ class Vehicle(SerdeAPI): db_path_or_url: str | None = None, schema: int = 1, **kwargs: Any, - ) -> Vehicle: ... + ) -> Vehicle: + """ + Load a vehicle from a schema-versioned FASTSim vehicle database. + + Parameters + ---------- + db_path_or_url : str | None, default None + Database source selector. + + - ``None``: load vehicle from https://github.com/NatLabRockies/fastsim-vehicles. + - ``"http://..."`` or ``"https://..."``: use remote database loading, + e.g. "https://raw.githubusercontent.com/...". + - any other string: treat as a local filesystem database path. + + schema : int, default 1 + Database schema version. Currently only ``schema=1`` is supported. + + **kwargs + Valid kwargs for ``schema=1``: + - ``make`` (str): vehicle make, e.g. ``"Ford"`` + - ``model`` (str): vehicle model, e.g. ``"F-150"`` + - ``year`` (str): vehicle model year, e.g. ``"2022"`` + - ``variant`` (str, optional): vehicle variant, e.g. ``"base"``. Defaults to ``"base"``. + - ``revision`` (int): model revision, e.g. ``1`` + - ``fastsim_version`` (int, optional): FASTSim version namespace. + Defaults to the installed FASTSim major version (e.g. ``3``). + - ``skip_init`` (bool, optional): forwarded to Rust loader, defaults to + ``False``. + + Returns + ------- + Vehicle + Loaded vehicle instance. + """ + ... def clear(self) -> None: ... def reset(self) -> None: ... def reset_cumulative(self) -> None: ... From 0588f1da67fa78185ce7009c34193c8218bdcc9d Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Thu, 16 Jul 2026 00:04:10 -0600 Subject: [PATCH 42/67] skip serializing history if it is empty, cargo fmt, regenerated vehicles --- .../f3-vehicles/2010 Mazda 3 i-Stop.yaml | 60 +-------- cal_and_val/f3-vehicles/2012 Ford Focus.yaml | 60 +-------- cal_and_val/f3-vehicles/2012 Ford Fusion.yaml | 60 +-------- .../f3-vehicles/2016 AUDI A3 4cyl 2WD.yaml | 66 +--------- .../f3-vehicles/2016 BMW 328d 4cyl 2WD.yaml | 66 +--------- .../f3-vehicles/2016 BMW i3 REx PHEV.yaml | 107 +--------------- .../2016 CHEVROLET Malibu 4cyl 2WD.yaml | 60 +-------- .../f3-vehicles/2016 CHEVROLET Spark EV.yaml | 82 +------------ .../f3-vehicles/2016 CHEVROLET Volt.yaml | 107 +--------------- .../f3-vehicles/2016 FORD C-MAX (PHEV).yaml | 107 +--------------- .../f3-vehicles/2016 FORD C-MAX HEV.yaml | 107 +--------------- .../2016 FORD Escape 4cyl 2WD.yaml | 60 +-------- .../2016 FORD Explorer 4cyl 2WD.yaml | 60 +-------- .../2016 HYUNDAI Elantra 4cyl 2WD.yaml | 60 +-------- .../f3-vehicles/2016 HYUNDAI Sonata PHEV.yaml | 107 +--------------- .../2016 Hyundai Tucson Fuel Cell.yaml | 107 +--------------- .../f3-vehicles/2016 KIA Optima Hybrid.yaml | 107 +--------------- cal_and_val/f3-vehicles/2016 Leaf 24 kWh.yaml | 82 +------------ .../f3-vehicles/2016 MITSUBISHI i-MiEV.yaml | 82 +------------ .../f3-vehicles/2016 Nissan Leaf 30 kWh.yaml | 82 +------------ .../f3-vehicles/2016 TESLA Model S60 2WD.yaml | 84 +------------ .../2016 TOYOTA Camry 4cyl 2WD.yaml | 60 +-------- .../2016 TOYOTA Corolla 4cyl 2WD.yaml | 60 +-------- .../2016 TOYOTA Highlander Hybrid.yaml | 107 +--------------- .../2016 Toyota Prius Two FWD.yaml | 107 +--------------- .../f3-vehicles/2017 CHEVROLET Bolt.yaml | 82 +------------ .../f3-vehicles/2017 Maruti Dzire VDI.yaml | 60 +-------- cal_and_val/f3-vehicles/2017 Prius Prime.yaml | 107 +--------------- .../2017 Toyota Highlander 3.5 L.yaml | 60 +-------- .../2020 Chevrolet Colorado 2WD Diesel.yaml | 62 +--------- .../2020 Hero Splendor+ 100cc.yaml | 60 +-------- .../f3-vehicles/2020 VW Golf 1.5TSI.yaml | 60 +-------- .../f3-vehicles/2020 VW Golf 2.0TDI.yaml | 60 +-------- .../f3-vehicles/2021 BMW iX xDrive40.yaml | 84 +------------ cal_and_val/f3-vehicles/2021 Cupra Born.yaml | 84 +------------ .../2021 Fiat Panda Mild Hybrid.yaml | 60 +-------- .../f3-vehicles/2021 Honda N-Box G.yaml | 60 +-------- cal_and_val/f3-vehicles/2021 Peugot 3008.yaml | 60 +-------- .../2022 Ford F-150 Lightning 4WD.yaml | 88 +------------- .../2022 MINI Cooper SE Hardtop 2 door.yaml | 82 +------------ .../2022 Renault Megane E-Tech.yaml | 82 +------------ .../2022 Renault Zoe ZE50 R135.yaml | 82 +------------ .../f3-vehicles/2022 Tesla Model 3 RWD.yaml | 84 +------------ .../f3-vehicles/2022 Tesla Model Y RWD.yaml | 84 +------------ .../2022 Toyota RAV4 Hybrid LE.yaml | 115 +----------------- .../2022 Toyota Yaris Hybrid Mid.yaml | 107 +--------------- .../2022 Volvo XC40 Recharge twin.yaml | 86 +------------ .../2023 Mitsubishi Pajero Sport.yaml | 60 +-------- ...2023 Polestar 2 Long range Dual motor.yaml | 86 +------------ .../f3-vehicles/2023 Volvo C40 Recharge.yaml | 88 +------------- .../f3-vehicles/2024 BYD Dolphin Active.yaml | 82 +------------ .../f3-vehicles/2024 Toyota Vios 1.5 G.yaml | 60 +-------- .../f3-vehicles/2024 VinFast VF e34.yaml | 82 +------------ .../2024 Volkswagen Polo 1.0 MPI.yaml | 60 +-------- cal_and_val/f3-vehicles/BYD ATTO 3.yaml | 82 +------------ cal_and_val/f3-vehicles/Bajaj Boxer 150.yaml | 60 +-------- .../Class 4 Truck (Isuzu NPR HD).yaml | 60 +-------- cal_and_val/f3-vehicles/Line Haul Conv.yaml | 60 +-------- .../f3-vehicles/Maruti Swift 4cyl 2WD.yaml | 60 +-------- cal_and_val/f3-vehicles/Nissan Navara.yaml | 60 +-------- .../Regional Delivery Class 8 Truck.yaml | 60 +-------- .../f3-vehicles/Renault Clio IV diesel.yaml | 60 +-------- .../Renault Megane 1.5 dCi Authentique.yaml | 60 +-------- .../Toyota Corolla Cross Hybrid.yaml | 107 +--------------- .../f3-vehicles/Toyota Etios Liva diesel.yaml | 60 +-------- .../Toyota Hilux Double Cab 4WD.yaml | 60 +-------- cal_and_val/f3-vehicles/Toyota Mirai.yaml | 107 +--------------- .../resources/vehicles/2012_Ford_Fusion.yaml | 60 +-------- .../vehicles/2016_TOYOTA_Prius_Two.yaml | 107 +--------------- .../vehicles/2022_Renault_Zoe_ZE50_R135.yaml | 82 +------------ fastsim-core/src/vehicle/cabin.rs | 2 +- fastsim-core/src/vehicle/conv.rs | 5 + fastsim-core/src/vehicle/hev.rs | 3 +- .../vehicle/hvac/hvac_sys_for_lumped_cabin.rs | 5 +- .../hvac/hvac_sys_for_lumped_cabin_and_res.rs | 5 +- .../vehicle/powertrain/electric_machine.rs | 11 +- .../src/vehicle/powertrain/fuel_converter.rs | 10 +- .../powertrain/reversible_energy_storage.rs | 12 +- .../src/vehicle/powertrain/transmission.rs | 8 +- fastsim-core/src/vehicle/vehicle_model.rs | 20 ++- fastsim-py/src/lib.rs | 5 +- 81 files changed, 157 insertions(+), 5348 deletions(-) diff --git a/cal_and_val/f3-vehicles/2010 Mazda 3 i-Stop.yaml b/cal_and_val/f3-vehicles/2010 Mazda 3 i-Stop.yaml index 988350cc5..db5f019f4 100644 --- a/cal_and_val/f3-vehicles/2010 Mazda 3 i-Stop.yaml +++ b/cal_and_val/f3-vehicles/2010 Mazda 3 i-Stop.yaml @@ -71,21 +71,6 @@ pt_type: energy_loss_joules: 0.0 fc_on: false time_on_seconds: 0.0 - history: - i: [] - pwr_out_max_watts: [] - pwr_prop_max_watts: [] - eff: [] - pwr_prop_watts: [] - energy_prop_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_fuel_watts: [] - energy_fuel_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] - fc_on: [] - time_on_seconds: [] save_interval: 1 transmission: mass_kilograms: ~ @@ -101,17 +86,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 pt_cntrl: Normal dfco_cntrl: @@ -122,9 +96,6 @@ pt_type: state: i: 0 vehicle_dynamics_prevent_dfco: false - history: - i: [] - vehicle_dynamics_prevent_dfco: [] mass_kilograms: ~ alt_eff: 1.0 chassis: @@ -152,6 +123,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -178,33 +150,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/2012 Ford Focus.yaml b/cal_and_val/f3-vehicles/2012 Ford Focus.yaml index 2a7fb2e3c..3bca384cd 100644 --- a/cal_and_val/f3-vehicles/2012 Ford Focus.yaml +++ b/cal_and_val/f3-vehicles/2012 Ford Focus.yaml @@ -71,21 +71,6 @@ pt_type: energy_loss_joules: 0.0 fc_on: false time_on_seconds: 0.0 - history: - i: [] - pwr_out_max_watts: [] - pwr_prop_max_watts: [] - eff: [] - pwr_prop_watts: [] - energy_prop_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_fuel_watts: [] - energy_fuel_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] - fc_on: [] - time_on_seconds: [] save_interval: 1 transmission: mass_kilograms: ~ @@ -101,17 +86,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 pt_cntrl: Normal dfco_cntrl: @@ -122,9 +96,6 @@ pt_type: state: i: 0 vehicle_dynamics_prevent_dfco: false - history: - i: [] - vehicle_dynamics_prevent_dfco: [] mass_kilograms: ~ alt_eff: 1.0 chassis: @@ -152,6 +123,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -178,33 +150,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/2012 Ford Fusion.yaml b/cal_and_val/f3-vehicles/2012 Ford Fusion.yaml index bf0f91ffa..ac837644c 100644 --- a/cal_and_val/f3-vehicles/2012 Ford Fusion.yaml +++ b/cal_and_val/f3-vehicles/2012 Ford Fusion.yaml @@ -71,21 +71,6 @@ pt_type: energy_loss_joules: 0.0 fc_on: false time_on_seconds: 0.0 - history: - i: [] - pwr_out_max_watts: [] - pwr_prop_max_watts: [] - eff: [] - pwr_prop_watts: [] - energy_prop_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_fuel_watts: [] - energy_fuel_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] - fc_on: [] - time_on_seconds: [] save_interval: 1 transmission: mass_kilograms: ~ @@ -101,17 +86,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 pt_cntrl: Normal dfco_cntrl: @@ -122,9 +96,6 @@ pt_type: state: i: 0 vehicle_dynamics_prevent_dfco: false - history: - i: [] - vehicle_dynamics_prevent_dfco: [] mass_kilograms: ~ alt_eff: 1.0 chassis: @@ -152,6 +123,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -178,33 +150,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/2016 AUDI A3 4cyl 2WD.yaml b/cal_and_val/f3-vehicles/2016 AUDI A3 4cyl 2WD.yaml index a665509c8..87bc896d9 100644 --- a/cal_and_val/f3-vehicles/2016 AUDI A3 4cyl 2WD.yaml +++ b/cal_and_val/f3-vehicles/2016 AUDI A3 4cyl 2WD.yaml @@ -14,7 +14,7 @@ pt_type: thrml: None mass_kilograms: ~ specific_pwr_watts_per_kilogram: ~ - pwr_out_max_watts: 126000.0 + pwr_out_max_watts: 112000.0 pwr_out_max_init_watts: 18666.666666666668 pwr_ramp_lag_seconds: 6.0 eff_interp_from_pwr_out: @@ -71,21 +71,6 @@ pt_type: energy_loss_joules: 0.0 fc_on: false time_on_seconds: 0.0 - history: - i: [] - pwr_out_max_watts: [] - pwr_prop_max_watts: [] - eff: [] - pwr_prop_watts: [] - energy_prop_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_fuel_watts: [] - energy_fuel_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] - fc_on: [] - time_on_seconds: [] save_interval: 1 transmission: mass_kilograms: ~ @@ -101,17 +86,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 pt_cntrl: Normal dfco_cntrl: @@ -122,9 +96,6 @@ pt_type: state: i: 0 vehicle_dynamics_prevent_dfco: false - history: - i: [] - vehicle_dynamics_prevent_dfco: [] mass_kilograms: ~ alt_eff: 1.0 chassis: @@ -136,9 +107,9 @@ chassis: wheel_radius_meters: 0.336 tire_code: ~ cg_height_meters: 0.53 - wheel_fric_coef: 0.8 + wheel_fric_coef: 0.7 drive_type: FWD - drive_axle_weight_frac: 0.61 + drive_axle_weight_frac: 0.59 wheel_base_meters: 2.6 mass_kilograms: ~ glider_mass_kilograms: ~ @@ -152,6 +123,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -178,33 +150,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/2016 BMW 328d 4cyl 2WD.yaml b/cal_and_val/f3-vehicles/2016 BMW 328d 4cyl 2WD.yaml index 59e775810..987dacf36 100644 --- a/cal_and_val/f3-vehicles/2016 BMW 328d 4cyl 2WD.yaml +++ b/cal_and_val/f3-vehicles/2016 BMW 328d 4cyl 2WD.yaml @@ -71,21 +71,6 @@ pt_type: energy_loss_joules: 0.0 fc_on: false time_on_seconds: 0.0 - history: - i: [] - pwr_out_max_watts: [] - pwr_prop_max_watts: [] - eff: [] - pwr_prop_watts: [] - energy_prop_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_fuel_watts: [] - energy_fuel_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] - fc_on: [] - time_on_seconds: [] save_interval: 1 transmission: mass_kilograms: ~ @@ -101,17 +86,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 pt_cntrl: Normal dfco_cntrl: @@ -122,9 +96,6 @@ pt_type: state: i: 0 vehicle_dynamics_prevent_dfco: false - history: - i: [] - vehicle_dynamics_prevent_dfco: [] mass_kilograms: ~ alt_eff: 1.0 chassis: @@ -136,9 +107,9 @@ chassis: wheel_radius_meters: 0.336 tire_code: ~ cg_height_meters: 0.53 - wheel_fric_coef: 0.8 - drive_type: RWD - drive_axle_weight_frac: 0.61 + wheel_fric_coef: 0.7 + drive_type: FWD + drive_axle_weight_frac: 0.59 wheel_base_meters: 2.6 mass_kilograms: ~ glider_mass_kilograms: ~ @@ -152,6 +123,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -178,33 +150,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/2016 BMW i3 REx PHEV.yaml b/cal_and_val/f3-vehicles/2016 BMW i3 REx PHEV.yaml index 436bfa3e4..df2e990e0 100644 --- a/cal_and_val/f3-vehicles/2016 BMW i3 REx PHEV.yaml +++ b/cal_and_val/f3-vehicles/2016 BMW i3 REx PHEV.yaml @@ -35,27 +35,6 @@ pt_type: energy_aux_joules: 0.0 energy_loss_joules: 0.0 energy_out_chemical_joules: 0.0 - history: - pwr_prop_max_watts: [] - pwr_regen_max_watts: [] - pwr_disch_max_watts: [] - pwr_charge_max_watts: [] - i: [] - soc: [] - soc_regen_buffer: [] - soc_disch_buffer: [] - eff: [] - soh: [] - pwr_out_electrical_watts: [] - pwr_out_prop_watts: [] - pwr_aux_watts: [] - pwr_loss_watts: [] - pwr_out_chemical_watts: [] - energy_out_electrical_joules: [] - energy_out_prop_joules: [] - energy_aux_joules: [] - energy_loss_joules: [] - energy_out_chemical_joules: [] save_interval: 1 fs: pwr_out_max_watts: 2000000.0 @@ -124,21 +103,6 @@ pt_type: energy_loss_joules: 0.0 fc_on: false time_on_seconds: 0.0 - history: - i: [] - pwr_out_max_watts: [] - pwr_prop_max_watts: [] - eff: [] - pwr_prop_watts: [] - energy_prop_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_fuel_watts: [] - energy_fuel_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] - fc_on: [] - time_on_seconds: [] save_interval: 1 em: eff_interp_achieved: @@ -236,25 +200,6 @@ pt_type: energy_elec_dyn_brake_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - eff: [] - pwr_mech_fwd_out_max_watts: [] - eff_fwd_at_max_input: [] - pwr_mech_regen_max_watts: [] - eff_at_max_regen: [] - pwr_out_req_watts: [] - energy_out_req_joules: [] - pwr_elec_prop_in_watts: [] - energy_elec_prop_in_joules: [] - pwr_mech_prop_out_watts: [] - energy_mech_prop_out_joules: [] - pwr_mech_dyn_brake_watts: [] - energy_mech_dyn_brake_joules: [] - pwr_elec_dyn_brake_watts: [] - energy_elec_dyn_brake_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] transmission: mass_kilograms: ~ eff_interp: 0.98 @@ -269,17 +214,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 pt_cntrl: RGWDB: @@ -306,16 +240,6 @@ pt_type: aux_power_demand: false charging_for_low_soc: false soc_fc_on_buffer: 0.0 - history: - i: [] - fc_temperature_too_low: [] - vehicle_speed_too_high: [] - on_time_too_short: [] - propulsion_power_demand: [] - propulsion_power_demand_soft: [] - aux_power_demand: [] - charging_for_low_soc: [] - soc_fc_on_buffer: [] aux_cntrl: AuxOnResPriority mass_kilograms: ~ sim_params: @@ -350,6 +274,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -376,33 +301,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/2016 CHEVROLET Malibu 4cyl 2WD.yaml b/cal_and_val/f3-vehicles/2016 CHEVROLET Malibu 4cyl 2WD.yaml index 314f59326..5c6524340 100644 --- a/cal_and_val/f3-vehicles/2016 CHEVROLET Malibu 4cyl 2WD.yaml +++ b/cal_and_val/f3-vehicles/2016 CHEVROLET Malibu 4cyl 2WD.yaml @@ -71,21 +71,6 @@ pt_type: energy_loss_joules: 0.0 fc_on: false time_on_seconds: 0.0 - history: - i: [] - pwr_out_max_watts: [] - pwr_prop_max_watts: [] - eff: [] - pwr_prop_watts: [] - energy_prop_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_fuel_watts: [] - energy_fuel_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] - fc_on: [] - time_on_seconds: [] save_interval: 1 transmission: mass_kilograms: ~ @@ -101,17 +86,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 pt_cntrl: Normal dfco_cntrl: @@ -122,9 +96,6 @@ pt_type: state: i: 0 vehicle_dynamics_prevent_dfco: false - history: - i: [] - vehicle_dynamics_prevent_dfco: [] mass_kilograms: ~ alt_eff: 1.0 chassis: @@ -152,6 +123,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -178,33 +150,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/2016 CHEVROLET Spark EV.yaml b/cal_and_val/f3-vehicles/2016 CHEVROLET Spark EV.yaml index dbf167c1f..2ca210ff3 100644 --- a/cal_and_val/f3-vehicles/2016 CHEVROLET Spark EV.yaml +++ b/cal_and_val/f3-vehicles/2016 CHEVROLET Spark EV.yaml @@ -35,27 +35,6 @@ pt_type: energy_aux_joules: 0.0 energy_loss_joules: 0.0 energy_out_chemical_joules: 0.0 - history: - pwr_prop_max_watts: [] - pwr_regen_max_watts: [] - pwr_disch_max_watts: [] - pwr_charge_max_watts: [] - i: [] - soc: [] - soc_regen_buffer: [] - soc_disch_buffer: [] - eff: [] - soh: [] - pwr_out_electrical_watts: [] - pwr_out_prop_watts: [] - pwr_aux_watts: [] - pwr_loss_watts: [] - pwr_out_chemical_watts: [] - energy_out_electrical_joules: [] - energy_out_prop_joules: [] - energy_aux_joules: [] - energy_loss_joules: [] - energy_out_chemical_joules: [] save_interval: 1 em: eff_interp_achieved: @@ -153,25 +132,6 @@ pt_type: energy_elec_dyn_brake_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - eff: [] - pwr_mech_fwd_out_max_watts: [] - eff_fwd_at_max_input: [] - pwr_mech_regen_max_watts: [] - eff_at_max_regen: [] - pwr_out_req_watts: [] - energy_out_req_joules: [] - pwr_elec_prop_in_watts: [] - energy_elec_prop_in_joules: [] - pwr_mech_prop_out_watts: [] - energy_mech_prop_out_joules: [] - pwr_mech_dyn_brake_watts: [] - energy_mech_dyn_brake_joules: [] - pwr_elec_dyn_brake_watts: [] - energy_elec_dyn_brake_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] transmission: mass_kilograms: ~ eff_interp: 0.98 @@ -186,17 +146,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 mass_kilograms: ~ chassis: @@ -224,6 +173,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -250,33 +200,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/2016 CHEVROLET Volt.yaml b/cal_and_val/f3-vehicles/2016 CHEVROLET Volt.yaml index e62fc9b68..c5189edbf 100644 --- a/cal_and_val/f3-vehicles/2016 CHEVROLET Volt.yaml +++ b/cal_and_val/f3-vehicles/2016 CHEVROLET Volt.yaml @@ -35,27 +35,6 @@ pt_type: energy_aux_joules: 0.0 energy_loss_joules: 0.0 energy_out_chemical_joules: 0.0 - history: - pwr_prop_max_watts: [] - pwr_regen_max_watts: [] - pwr_disch_max_watts: [] - pwr_charge_max_watts: [] - i: [] - soc: [] - soc_regen_buffer: [] - soc_disch_buffer: [] - eff: [] - soh: [] - pwr_out_electrical_watts: [] - pwr_out_prop_watts: [] - pwr_aux_watts: [] - pwr_loss_watts: [] - pwr_out_chemical_watts: [] - energy_out_electrical_joules: [] - energy_out_prop_joules: [] - energy_aux_joules: [] - energy_loss_joules: [] - energy_out_chemical_joules: [] save_interval: 1 fs: pwr_out_max_watts: 2000000.0 @@ -124,21 +103,6 @@ pt_type: energy_loss_joules: 0.0 fc_on: false time_on_seconds: 0.0 - history: - i: [] - pwr_out_max_watts: [] - pwr_prop_max_watts: [] - eff: [] - pwr_prop_watts: [] - energy_prop_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_fuel_watts: [] - energy_fuel_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] - fc_on: [] - time_on_seconds: [] save_interval: 1 em: eff_interp_achieved: @@ -236,25 +200,6 @@ pt_type: energy_elec_dyn_brake_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - eff: [] - pwr_mech_fwd_out_max_watts: [] - eff_fwd_at_max_input: [] - pwr_mech_regen_max_watts: [] - eff_at_max_regen: [] - pwr_out_req_watts: [] - energy_out_req_joules: [] - pwr_elec_prop_in_watts: [] - energy_elec_prop_in_joules: [] - pwr_mech_prop_out_watts: [] - energy_mech_prop_out_joules: [] - pwr_mech_dyn_brake_watts: [] - energy_mech_dyn_brake_joules: [] - pwr_elec_dyn_brake_watts: [] - energy_elec_dyn_brake_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] transmission: mass_kilograms: ~ eff_interp: 0.98 @@ -269,17 +214,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 pt_cntrl: RGWDB: @@ -306,16 +240,6 @@ pt_type: aux_power_demand: false charging_for_low_soc: false soc_fc_on_buffer: 0.0 - history: - i: [] - fc_temperature_too_low: [] - vehicle_speed_too_high: [] - on_time_too_short: [] - propulsion_power_demand: [] - propulsion_power_demand_soft: [] - aux_power_demand: [] - charging_for_low_soc: [] - soc_fc_on_buffer: [] aux_cntrl: AuxOnResPriority mass_kilograms: ~ sim_params: @@ -350,6 +274,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -376,33 +301,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/2016 FORD C-MAX (PHEV).yaml b/cal_and_val/f3-vehicles/2016 FORD C-MAX (PHEV).yaml index 9b7a38e4b..32d475dee 100644 --- a/cal_and_val/f3-vehicles/2016 FORD C-MAX (PHEV).yaml +++ b/cal_and_val/f3-vehicles/2016 FORD C-MAX (PHEV).yaml @@ -35,27 +35,6 @@ pt_type: energy_aux_joules: 0.0 energy_loss_joules: 0.0 energy_out_chemical_joules: 0.0 - history: - pwr_prop_max_watts: [] - pwr_regen_max_watts: [] - pwr_disch_max_watts: [] - pwr_charge_max_watts: [] - i: [] - soc: [] - soc_regen_buffer: [] - soc_disch_buffer: [] - eff: [] - soh: [] - pwr_out_electrical_watts: [] - pwr_out_prop_watts: [] - pwr_aux_watts: [] - pwr_loss_watts: [] - pwr_out_chemical_watts: [] - energy_out_electrical_joules: [] - energy_out_prop_joules: [] - energy_aux_joules: [] - energy_loss_joules: [] - energy_out_chemical_joules: [] save_interval: 1 fs: pwr_out_max_watts: 2000000.0 @@ -124,21 +103,6 @@ pt_type: energy_loss_joules: 0.0 fc_on: false time_on_seconds: 0.0 - history: - i: [] - pwr_out_max_watts: [] - pwr_prop_max_watts: [] - eff: [] - pwr_prop_watts: [] - energy_prop_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_fuel_watts: [] - energy_fuel_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] - fc_on: [] - time_on_seconds: [] save_interval: 1 em: eff_interp_achieved: @@ -236,25 +200,6 @@ pt_type: energy_elec_dyn_brake_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - eff: [] - pwr_mech_fwd_out_max_watts: [] - eff_fwd_at_max_input: [] - pwr_mech_regen_max_watts: [] - eff_at_max_regen: [] - pwr_out_req_watts: [] - energy_out_req_joules: [] - pwr_elec_prop_in_watts: [] - energy_elec_prop_in_joules: [] - pwr_mech_prop_out_watts: [] - energy_mech_prop_out_joules: [] - pwr_mech_dyn_brake_watts: [] - energy_mech_dyn_brake_joules: [] - pwr_elec_dyn_brake_watts: [] - energy_elec_dyn_brake_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] transmission: mass_kilograms: ~ eff_interp: 0.98 @@ -269,17 +214,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 pt_cntrl: RGWDB: @@ -306,16 +240,6 @@ pt_type: aux_power_demand: false charging_for_low_soc: false soc_fc_on_buffer: 0.0 - history: - i: [] - fc_temperature_too_low: [] - vehicle_speed_too_high: [] - on_time_too_short: [] - propulsion_power_demand: [] - propulsion_power_demand_soft: [] - aux_power_demand: [] - charging_for_low_soc: [] - soc_fc_on_buffer: [] aux_cntrl: AuxOnResPriority mass_kilograms: ~ sim_params: @@ -350,6 +274,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -376,33 +301,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/2016 FORD C-MAX HEV.yaml b/cal_and_val/f3-vehicles/2016 FORD C-MAX HEV.yaml index 2551faa53..e4bf1cc33 100644 --- a/cal_and_val/f3-vehicles/2016 FORD C-MAX HEV.yaml +++ b/cal_and_val/f3-vehicles/2016 FORD C-MAX HEV.yaml @@ -35,27 +35,6 @@ pt_type: energy_aux_joules: 0.0 energy_loss_joules: 0.0 energy_out_chemical_joules: 0.0 - history: - pwr_prop_max_watts: [] - pwr_regen_max_watts: [] - pwr_disch_max_watts: [] - pwr_charge_max_watts: [] - i: [] - soc: [] - soc_regen_buffer: [] - soc_disch_buffer: [] - eff: [] - soh: [] - pwr_out_electrical_watts: [] - pwr_out_prop_watts: [] - pwr_aux_watts: [] - pwr_loss_watts: [] - pwr_out_chemical_watts: [] - energy_out_electrical_joules: [] - energy_out_prop_joules: [] - energy_aux_joules: [] - energy_loss_joules: [] - energy_out_chemical_joules: [] save_interval: 1 fs: pwr_out_max_watts: 2000000.0 @@ -124,21 +103,6 @@ pt_type: energy_loss_joules: 0.0 fc_on: false time_on_seconds: 0.0 - history: - i: [] - pwr_out_max_watts: [] - pwr_prop_max_watts: [] - eff: [] - pwr_prop_watts: [] - energy_prop_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_fuel_watts: [] - energy_fuel_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] - fc_on: [] - time_on_seconds: [] save_interval: 1 em: eff_interp_achieved: @@ -236,25 +200,6 @@ pt_type: energy_elec_dyn_brake_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - eff: [] - pwr_mech_fwd_out_max_watts: [] - eff_fwd_at_max_input: [] - pwr_mech_regen_max_watts: [] - eff_at_max_regen: [] - pwr_out_req_watts: [] - energy_out_req_joules: [] - pwr_elec_prop_in_watts: [] - energy_elec_prop_in_joules: [] - pwr_mech_prop_out_watts: [] - energy_mech_prop_out_joules: [] - pwr_mech_dyn_brake_watts: [] - energy_mech_dyn_brake_joules: [] - pwr_elec_dyn_brake_watts: [] - energy_elec_dyn_brake_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] transmission: mass_kilograms: ~ eff_interp: 0.95 @@ -269,17 +214,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 pt_cntrl: RGWDB: @@ -306,16 +240,6 @@ pt_type: aux_power_demand: false charging_for_low_soc: false soc_fc_on_buffer: 0.0 - history: - i: [] - fc_temperature_too_low: [] - vehicle_speed_too_high: [] - on_time_too_short: [] - propulsion_power_demand: [] - propulsion_power_demand_soft: [] - aux_power_demand: [] - charging_for_low_soc: [] - soc_fc_on_buffer: [] aux_cntrl: AuxOnResPriority mass_kilograms: ~ sim_params: @@ -350,6 +274,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -376,33 +301,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/2016 FORD Escape 4cyl 2WD.yaml b/cal_and_val/f3-vehicles/2016 FORD Escape 4cyl 2WD.yaml index 233d268c0..3b41a883e 100644 --- a/cal_and_val/f3-vehicles/2016 FORD Escape 4cyl 2WD.yaml +++ b/cal_and_val/f3-vehicles/2016 FORD Escape 4cyl 2WD.yaml @@ -71,21 +71,6 @@ pt_type: energy_loss_joules: 0.0 fc_on: false time_on_seconds: 0.0 - history: - i: [] - pwr_out_max_watts: [] - pwr_prop_max_watts: [] - eff: [] - pwr_prop_watts: [] - energy_prop_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_fuel_watts: [] - energy_fuel_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] - fc_on: [] - time_on_seconds: [] save_interval: 1 transmission: mass_kilograms: ~ @@ -101,17 +86,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 pt_cntrl: Normal dfco_cntrl: @@ -122,9 +96,6 @@ pt_type: state: i: 0 vehicle_dynamics_prevent_dfco: false - history: - i: [] - vehicle_dynamics_prevent_dfco: [] mass_kilograms: ~ alt_eff: 1.0 chassis: @@ -152,6 +123,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -178,33 +150,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/2016 FORD Explorer 4cyl 2WD.yaml b/cal_and_val/f3-vehicles/2016 FORD Explorer 4cyl 2WD.yaml index 8068c0124..9f7d97125 100644 --- a/cal_and_val/f3-vehicles/2016 FORD Explorer 4cyl 2WD.yaml +++ b/cal_and_val/f3-vehicles/2016 FORD Explorer 4cyl 2WD.yaml @@ -71,21 +71,6 @@ pt_type: energy_loss_joules: 0.0 fc_on: false time_on_seconds: 0.0 - history: - i: [] - pwr_out_max_watts: [] - pwr_prop_max_watts: [] - eff: [] - pwr_prop_watts: [] - energy_prop_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_fuel_watts: [] - energy_fuel_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] - fc_on: [] - time_on_seconds: [] save_interval: 1 transmission: mass_kilograms: ~ @@ -101,17 +86,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 pt_cntrl: Normal dfco_cntrl: @@ -122,9 +96,6 @@ pt_type: state: i: 0 vehicle_dynamics_prevent_dfco: false - history: - i: [] - vehicle_dynamics_prevent_dfco: [] mass_kilograms: ~ alt_eff: 1.0 chassis: @@ -152,6 +123,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -178,33 +150,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/2016 HYUNDAI Elantra 4cyl 2WD.yaml b/cal_and_val/f3-vehicles/2016 HYUNDAI Elantra 4cyl 2WD.yaml index aa10ab220..fc6695e14 100644 --- a/cal_and_val/f3-vehicles/2016 HYUNDAI Elantra 4cyl 2WD.yaml +++ b/cal_and_val/f3-vehicles/2016 HYUNDAI Elantra 4cyl 2WD.yaml @@ -71,21 +71,6 @@ pt_type: energy_loss_joules: 0.0 fc_on: false time_on_seconds: 0.0 - history: - i: [] - pwr_out_max_watts: [] - pwr_prop_max_watts: [] - eff: [] - pwr_prop_watts: [] - energy_prop_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_fuel_watts: [] - energy_fuel_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] - fc_on: [] - time_on_seconds: [] save_interval: 1 transmission: mass_kilograms: ~ @@ -101,17 +86,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 pt_cntrl: Normal dfco_cntrl: @@ -122,9 +96,6 @@ pt_type: state: i: 0 vehicle_dynamics_prevent_dfco: false - history: - i: [] - vehicle_dynamics_prevent_dfco: [] mass_kilograms: ~ alt_eff: 1.0 chassis: @@ -152,6 +123,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -178,33 +150,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/2016 HYUNDAI Sonata PHEV.yaml b/cal_and_val/f3-vehicles/2016 HYUNDAI Sonata PHEV.yaml index 267376809..0a7f743d5 100644 --- a/cal_and_val/f3-vehicles/2016 HYUNDAI Sonata PHEV.yaml +++ b/cal_and_val/f3-vehicles/2016 HYUNDAI Sonata PHEV.yaml @@ -35,27 +35,6 @@ pt_type: energy_aux_joules: 0.0 energy_loss_joules: 0.0 energy_out_chemical_joules: 0.0 - history: - pwr_prop_max_watts: [] - pwr_regen_max_watts: [] - pwr_disch_max_watts: [] - pwr_charge_max_watts: [] - i: [] - soc: [] - soc_regen_buffer: [] - soc_disch_buffer: [] - eff: [] - soh: [] - pwr_out_electrical_watts: [] - pwr_out_prop_watts: [] - pwr_aux_watts: [] - pwr_loss_watts: [] - pwr_out_chemical_watts: [] - energy_out_electrical_joules: [] - energy_out_prop_joules: [] - energy_aux_joules: [] - energy_loss_joules: [] - energy_out_chemical_joules: [] save_interval: 1 fs: pwr_out_max_watts: 2000000.0 @@ -124,21 +103,6 @@ pt_type: energy_loss_joules: 0.0 fc_on: false time_on_seconds: 0.0 - history: - i: [] - pwr_out_max_watts: [] - pwr_prop_max_watts: [] - eff: [] - pwr_prop_watts: [] - energy_prop_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_fuel_watts: [] - energy_fuel_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] - fc_on: [] - time_on_seconds: [] save_interval: 1 em: eff_interp_achieved: @@ -236,25 +200,6 @@ pt_type: energy_elec_dyn_brake_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - eff: [] - pwr_mech_fwd_out_max_watts: [] - eff_fwd_at_max_input: [] - pwr_mech_regen_max_watts: [] - eff_at_max_regen: [] - pwr_out_req_watts: [] - energy_out_req_joules: [] - pwr_elec_prop_in_watts: [] - energy_elec_prop_in_joules: [] - pwr_mech_prop_out_watts: [] - energy_mech_prop_out_joules: [] - pwr_mech_dyn_brake_watts: [] - energy_mech_dyn_brake_joules: [] - pwr_elec_dyn_brake_watts: [] - energy_elec_dyn_brake_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] transmission: mass_kilograms: ~ eff_interp: 0.98 @@ -269,17 +214,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 pt_cntrl: RGWDB: @@ -306,16 +240,6 @@ pt_type: aux_power_demand: false charging_for_low_soc: false soc_fc_on_buffer: 0.0 - history: - i: [] - fc_temperature_too_low: [] - vehicle_speed_too_high: [] - on_time_too_short: [] - propulsion_power_demand: [] - propulsion_power_demand_soft: [] - aux_power_demand: [] - charging_for_low_soc: [] - soc_fc_on_buffer: [] aux_cntrl: AuxOnResPriority mass_kilograms: ~ sim_params: @@ -350,6 +274,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -376,33 +301,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/2016 Hyundai Tucson Fuel Cell.yaml b/cal_and_val/f3-vehicles/2016 Hyundai Tucson Fuel Cell.yaml index cc7440f6e..55788438e 100644 --- a/cal_and_val/f3-vehicles/2016 Hyundai Tucson Fuel Cell.yaml +++ b/cal_and_val/f3-vehicles/2016 Hyundai Tucson Fuel Cell.yaml @@ -35,27 +35,6 @@ pt_type: energy_aux_joules: 0.0 energy_loss_joules: 0.0 energy_out_chemical_joules: 0.0 - history: - pwr_prop_max_watts: [] - pwr_regen_max_watts: [] - pwr_disch_max_watts: [] - pwr_charge_max_watts: [] - i: [] - soc: [] - soc_regen_buffer: [] - soc_disch_buffer: [] - eff: [] - soh: [] - pwr_out_electrical_watts: [] - pwr_out_prop_watts: [] - pwr_aux_watts: [] - pwr_loss_watts: [] - pwr_out_chemical_watts: [] - energy_out_electrical_joules: [] - energy_out_prop_joules: [] - energy_aux_joules: [] - energy_loss_joules: [] - energy_out_chemical_joules: [] save_interval: 1 fs: pwr_out_max_watts: 1000000.0 @@ -124,21 +103,6 @@ pt_type: energy_loss_joules: 0.0 fc_on: false time_on_seconds: 0.0 - history: - i: [] - pwr_out_max_watts: [] - pwr_prop_max_watts: [] - eff: [] - pwr_prop_watts: [] - energy_prop_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_fuel_watts: [] - energy_fuel_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] - fc_on: [] - time_on_seconds: [] save_interval: 1 em: eff_interp_achieved: @@ -236,25 +200,6 @@ pt_type: energy_elec_dyn_brake_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - eff: [] - pwr_mech_fwd_out_max_watts: [] - eff_fwd_at_max_input: [] - pwr_mech_regen_max_watts: [] - eff_at_max_regen: [] - pwr_out_req_watts: [] - energy_out_req_joules: [] - pwr_elec_prop_in_watts: [] - energy_elec_prop_in_joules: [] - pwr_mech_prop_out_watts: [] - energy_mech_prop_out_joules: [] - pwr_mech_dyn_brake_watts: [] - energy_mech_dyn_brake_joules: [] - pwr_elec_dyn_brake_watts: [] - energy_elec_dyn_brake_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] transmission: mass_kilograms: ~ eff_interp: 0.98 @@ -269,17 +214,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 pt_cntrl: RGWDB: @@ -306,16 +240,6 @@ pt_type: aux_power_demand: false charging_for_low_soc: false soc_fc_on_buffer: 0.0 - history: - i: [] - fc_temperature_too_low: [] - vehicle_speed_too_high: [] - on_time_too_short: [] - propulsion_power_demand: [] - propulsion_power_demand_soft: [] - aux_power_demand: [] - charging_for_low_soc: [] - soc_fc_on_buffer: [] aux_cntrl: AuxOnResPriority mass_kilograms: ~ sim_params: @@ -350,6 +274,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -376,33 +301,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/2016 KIA Optima Hybrid.yaml b/cal_and_val/f3-vehicles/2016 KIA Optima Hybrid.yaml index c424e94dc..b9965d4f9 100644 --- a/cal_and_val/f3-vehicles/2016 KIA Optima Hybrid.yaml +++ b/cal_and_val/f3-vehicles/2016 KIA Optima Hybrid.yaml @@ -35,27 +35,6 @@ pt_type: energy_aux_joules: 0.0 energy_loss_joules: 0.0 energy_out_chemical_joules: 0.0 - history: - pwr_prop_max_watts: [] - pwr_regen_max_watts: [] - pwr_disch_max_watts: [] - pwr_charge_max_watts: [] - i: [] - soc: [] - soc_regen_buffer: [] - soc_disch_buffer: [] - eff: [] - soh: [] - pwr_out_electrical_watts: [] - pwr_out_prop_watts: [] - pwr_aux_watts: [] - pwr_loss_watts: [] - pwr_out_chemical_watts: [] - energy_out_electrical_joules: [] - energy_out_prop_joules: [] - energy_aux_joules: [] - energy_loss_joules: [] - energy_out_chemical_joules: [] save_interval: 1 fs: pwr_out_max_watts: 2000000.0 @@ -124,21 +103,6 @@ pt_type: energy_loss_joules: 0.0 fc_on: false time_on_seconds: 0.0 - history: - i: [] - pwr_out_max_watts: [] - pwr_prop_max_watts: [] - eff: [] - pwr_prop_watts: [] - energy_prop_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_fuel_watts: [] - energy_fuel_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] - fc_on: [] - time_on_seconds: [] save_interval: 1 em: eff_interp_achieved: @@ -236,25 +200,6 @@ pt_type: energy_elec_dyn_brake_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - eff: [] - pwr_mech_fwd_out_max_watts: [] - eff_fwd_at_max_input: [] - pwr_mech_regen_max_watts: [] - eff_at_max_regen: [] - pwr_out_req_watts: [] - energy_out_req_joules: [] - pwr_elec_prop_in_watts: [] - energy_elec_prop_in_joules: [] - pwr_mech_prop_out_watts: [] - energy_mech_prop_out_joules: [] - pwr_mech_dyn_brake_watts: [] - energy_mech_dyn_brake_joules: [] - pwr_elec_dyn_brake_watts: [] - energy_elec_dyn_brake_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] transmission: mass_kilograms: ~ eff_interp: 0.95 @@ -269,17 +214,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 pt_cntrl: RGWDB: @@ -306,16 +240,6 @@ pt_type: aux_power_demand: false charging_for_low_soc: false soc_fc_on_buffer: 0.0 - history: - i: [] - fc_temperature_too_low: [] - vehicle_speed_too_high: [] - on_time_too_short: [] - propulsion_power_demand: [] - propulsion_power_demand_soft: [] - aux_power_demand: [] - charging_for_low_soc: [] - soc_fc_on_buffer: [] aux_cntrl: AuxOnResPriority mass_kilograms: ~ sim_params: @@ -350,6 +274,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -376,33 +301,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/2016 Leaf 24 kWh.yaml b/cal_and_val/f3-vehicles/2016 Leaf 24 kWh.yaml index 291e0d44a..cbcdfe71c 100644 --- a/cal_and_val/f3-vehicles/2016 Leaf 24 kWh.yaml +++ b/cal_and_val/f3-vehicles/2016 Leaf 24 kWh.yaml @@ -35,27 +35,6 @@ pt_type: energy_aux_joules: 0.0 energy_loss_joules: 0.0 energy_out_chemical_joules: 0.0 - history: - pwr_prop_max_watts: [] - pwr_regen_max_watts: [] - pwr_disch_max_watts: [] - pwr_charge_max_watts: [] - i: [] - soc: [] - soc_regen_buffer: [] - soc_disch_buffer: [] - eff: [] - soh: [] - pwr_out_electrical_watts: [] - pwr_out_prop_watts: [] - pwr_aux_watts: [] - pwr_loss_watts: [] - pwr_out_chemical_watts: [] - energy_out_electrical_joules: [] - energy_out_prop_joules: [] - energy_aux_joules: [] - energy_loss_joules: [] - energy_out_chemical_joules: [] save_interval: 1 em: eff_interp_achieved: @@ -153,25 +132,6 @@ pt_type: energy_elec_dyn_brake_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - eff: [] - pwr_mech_fwd_out_max_watts: [] - eff_fwd_at_max_input: [] - pwr_mech_regen_max_watts: [] - eff_at_max_regen: [] - pwr_out_req_watts: [] - energy_out_req_joules: [] - pwr_elec_prop_in_watts: [] - energy_elec_prop_in_joules: [] - pwr_mech_prop_out_watts: [] - energy_mech_prop_out_joules: [] - pwr_mech_dyn_brake_watts: [] - energy_mech_dyn_brake_joules: [] - pwr_elec_dyn_brake_watts: [] - energy_elec_dyn_brake_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] transmission: mass_kilograms: ~ eff_interp: 0.98 @@ -186,17 +146,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 mass_kilograms: ~ chassis: @@ -224,6 +173,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -250,33 +200,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/2016 MITSUBISHI i-MiEV.yaml b/cal_and_val/f3-vehicles/2016 MITSUBISHI i-MiEV.yaml index 37cceb59a..6dcd85360 100644 --- a/cal_and_val/f3-vehicles/2016 MITSUBISHI i-MiEV.yaml +++ b/cal_and_val/f3-vehicles/2016 MITSUBISHI i-MiEV.yaml @@ -35,27 +35,6 @@ pt_type: energy_aux_joules: 0.0 energy_loss_joules: 0.0 energy_out_chemical_joules: 0.0 - history: - pwr_prop_max_watts: [] - pwr_regen_max_watts: [] - pwr_disch_max_watts: [] - pwr_charge_max_watts: [] - i: [] - soc: [] - soc_regen_buffer: [] - soc_disch_buffer: [] - eff: [] - soh: [] - pwr_out_electrical_watts: [] - pwr_out_prop_watts: [] - pwr_aux_watts: [] - pwr_loss_watts: [] - pwr_out_chemical_watts: [] - energy_out_electrical_joules: [] - energy_out_prop_joules: [] - energy_aux_joules: [] - energy_loss_joules: [] - energy_out_chemical_joules: [] save_interval: 1 em: eff_interp_achieved: @@ -153,25 +132,6 @@ pt_type: energy_elec_dyn_brake_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - eff: [] - pwr_mech_fwd_out_max_watts: [] - eff_fwd_at_max_input: [] - pwr_mech_regen_max_watts: [] - eff_at_max_regen: [] - pwr_out_req_watts: [] - energy_out_req_joules: [] - pwr_elec_prop_in_watts: [] - energy_elec_prop_in_joules: [] - pwr_mech_prop_out_watts: [] - energy_mech_prop_out_joules: [] - pwr_mech_dyn_brake_watts: [] - energy_mech_dyn_brake_joules: [] - pwr_elec_dyn_brake_watts: [] - energy_elec_dyn_brake_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] transmission: mass_kilograms: ~ eff_interp: 0.98 @@ -186,17 +146,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 mass_kilograms: ~ chassis: @@ -224,6 +173,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -250,33 +200,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/2016 Nissan Leaf 30 kWh.yaml b/cal_and_val/f3-vehicles/2016 Nissan Leaf 30 kWh.yaml index f248b52f7..8dc9ec1e0 100644 --- a/cal_and_val/f3-vehicles/2016 Nissan Leaf 30 kWh.yaml +++ b/cal_and_val/f3-vehicles/2016 Nissan Leaf 30 kWh.yaml @@ -35,27 +35,6 @@ pt_type: energy_aux_joules: 0.0 energy_loss_joules: 0.0 energy_out_chemical_joules: 0.0 - history: - pwr_prop_max_watts: [] - pwr_regen_max_watts: [] - pwr_disch_max_watts: [] - pwr_charge_max_watts: [] - i: [] - soc: [] - soc_regen_buffer: [] - soc_disch_buffer: [] - eff: [] - soh: [] - pwr_out_electrical_watts: [] - pwr_out_prop_watts: [] - pwr_aux_watts: [] - pwr_loss_watts: [] - pwr_out_chemical_watts: [] - energy_out_electrical_joules: [] - energy_out_prop_joules: [] - energy_aux_joules: [] - energy_loss_joules: [] - energy_out_chemical_joules: [] save_interval: 1 em: eff_interp_achieved: @@ -153,25 +132,6 @@ pt_type: energy_elec_dyn_brake_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - eff: [] - pwr_mech_fwd_out_max_watts: [] - eff_fwd_at_max_input: [] - pwr_mech_regen_max_watts: [] - eff_at_max_regen: [] - pwr_out_req_watts: [] - energy_out_req_joules: [] - pwr_elec_prop_in_watts: [] - energy_elec_prop_in_joules: [] - pwr_mech_prop_out_watts: [] - energy_mech_prop_out_joules: [] - pwr_mech_dyn_brake_watts: [] - energy_mech_dyn_brake_joules: [] - pwr_elec_dyn_brake_watts: [] - energy_elec_dyn_brake_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] transmission: mass_kilograms: ~ eff_interp: 0.98 @@ -186,17 +146,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 mass_kilograms: ~ chassis: @@ -224,6 +173,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -250,33 +200,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/2016 TESLA Model S60 2WD.yaml b/cal_and_val/f3-vehicles/2016 TESLA Model S60 2WD.yaml index e4a82a374..3be9dad21 100644 --- a/cal_and_val/f3-vehicles/2016 TESLA Model S60 2WD.yaml +++ b/cal_and_val/f3-vehicles/2016 TESLA Model S60 2WD.yaml @@ -35,27 +35,6 @@ pt_type: energy_aux_joules: 0.0 energy_loss_joules: 0.0 energy_out_chemical_joules: 0.0 - history: - pwr_prop_max_watts: [] - pwr_regen_max_watts: [] - pwr_disch_max_watts: [] - pwr_charge_max_watts: [] - i: [] - soc: [] - soc_regen_buffer: [] - soc_disch_buffer: [] - eff: [] - soh: [] - pwr_out_electrical_watts: [] - pwr_out_prop_watts: [] - pwr_aux_watts: [] - pwr_loss_watts: [] - pwr_out_chemical_watts: [] - energy_out_electrical_joules: [] - energy_out_prop_joules: [] - energy_aux_joules: [] - energy_loss_joules: [] - energy_out_chemical_joules: [] save_interval: 1 em: eff_interp_achieved: @@ -153,25 +132,6 @@ pt_type: energy_elec_dyn_brake_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - eff: [] - pwr_mech_fwd_out_max_watts: [] - eff_fwd_at_max_input: [] - pwr_mech_regen_max_watts: [] - eff_at_max_regen: [] - pwr_out_req_watts: [] - energy_out_req_joules: [] - pwr_elec_prop_in_watts: [] - energy_elec_prop_in_joules: [] - pwr_mech_prop_out_watts: [] - energy_mech_prop_out_joules: [] - pwr_mech_dyn_brake_watts: [] - energy_mech_dyn_brake_joules: [] - pwr_elec_dyn_brake_watts: [] - energy_elec_dyn_brake_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] transmission: mass_kilograms: ~ eff_interp: 0.98 @@ -186,17 +146,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 mass_kilograms: ~ chassis: @@ -207,7 +156,7 @@ chassis: num_wheels: 4 wheel_radius_meters: 0.336 tire_code: ~ - cg_height_meters: -0.445 + cg_height_meters: 0.445 wheel_fric_coef: 0.7 drive_type: RWD drive_axle_weight_frac: 0.59 @@ -224,6 +173,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -250,33 +200,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/2016 TOYOTA Camry 4cyl 2WD.yaml b/cal_and_val/f3-vehicles/2016 TOYOTA Camry 4cyl 2WD.yaml index 99784a71f..00c3aa5b5 100644 --- a/cal_and_val/f3-vehicles/2016 TOYOTA Camry 4cyl 2WD.yaml +++ b/cal_and_val/f3-vehicles/2016 TOYOTA Camry 4cyl 2WD.yaml @@ -71,21 +71,6 @@ pt_type: energy_loss_joules: 0.0 fc_on: false time_on_seconds: 0.0 - history: - i: [] - pwr_out_max_watts: [] - pwr_prop_max_watts: [] - eff: [] - pwr_prop_watts: [] - energy_prop_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_fuel_watts: [] - energy_fuel_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] - fc_on: [] - time_on_seconds: [] save_interval: 1 transmission: mass_kilograms: ~ @@ -101,17 +86,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 pt_cntrl: Normal dfco_cntrl: @@ -122,9 +96,6 @@ pt_type: state: i: 0 vehicle_dynamics_prevent_dfco: false - history: - i: [] - vehicle_dynamics_prevent_dfco: [] mass_kilograms: ~ alt_eff: 1.0 chassis: @@ -152,6 +123,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -178,33 +150,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/2016 TOYOTA Corolla 4cyl 2WD.yaml b/cal_and_val/f3-vehicles/2016 TOYOTA Corolla 4cyl 2WD.yaml index e2e07761c..1926abadc 100644 --- a/cal_and_val/f3-vehicles/2016 TOYOTA Corolla 4cyl 2WD.yaml +++ b/cal_and_val/f3-vehicles/2016 TOYOTA Corolla 4cyl 2WD.yaml @@ -71,21 +71,6 @@ pt_type: energy_loss_joules: 0.0 fc_on: false time_on_seconds: 0.0 - history: - i: [] - pwr_out_max_watts: [] - pwr_prop_max_watts: [] - eff: [] - pwr_prop_watts: [] - energy_prop_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_fuel_watts: [] - energy_fuel_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] - fc_on: [] - time_on_seconds: [] save_interval: 1 transmission: mass_kilograms: ~ @@ -101,17 +86,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 pt_cntrl: Normal dfco_cntrl: @@ -122,9 +96,6 @@ pt_type: state: i: 0 vehicle_dynamics_prevent_dfco: false - history: - i: [] - vehicle_dynamics_prevent_dfco: [] mass_kilograms: ~ alt_eff: 1.0 chassis: @@ -152,6 +123,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -178,33 +150,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/2016 TOYOTA Highlander Hybrid.yaml b/cal_and_val/f3-vehicles/2016 TOYOTA Highlander Hybrid.yaml index b82bf2611..ad72a154b 100644 --- a/cal_and_val/f3-vehicles/2016 TOYOTA Highlander Hybrid.yaml +++ b/cal_and_val/f3-vehicles/2016 TOYOTA Highlander Hybrid.yaml @@ -35,27 +35,6 @@ pt_type: energy_aux_joules: 0.0 energy_loss_joules: 0.0 energy_out_chemical_joules: 0.0 - history: - pwr_prop_max_watts: [] - pwr_regen_max_watts: [] - pwr_disch_max_watts: [] - pwr_charge_max_watts: [] - i: [] - soc: [] - soc_regen_buffer: [] - soc_disch_buffer: [] - eff: [] - soh: [] - pwr_out_electrical_watts: [] - pwr_out_prop_watts: [] - pwr_aux_watts: [] - pwr_loss_watts: [] - pwr_out_chemical_watts: [] - energy_out_electrical_joules: [] - energy_out_prop_joules: [] - energy_aux_joules: [] - energy_loss_joules: [] - energy_out_chemical_joules: [] save_interval: 1 fs: pwr_out_max_watts: 2000000.0 @@ -124,21 +103,6 @@ pt_type: energy_loss_joules: 0.0 fc_on: false time_on_seconds: 0.0 - history: - i: [] - pwr_out_max_watts: [] - pwr_prop_max_watts: [] - eff: [] - pwr_prop_watts: [] - energy_prop_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_fuel_watts: [] - energy_fuel_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] - fc_on: [] - time_on_seconds: [] save_interval: 1 em: eff_interp_achieved: @@ -236,25 +200,6 @@ pt_type: energy_elec_dyn_brake_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - eff: [] - pwr_mech_fwd_out_max_watts: [] - eff_fwd_at_max_input: [] - pwr_mech_regen_max_watts: [] - eff_at_max_regen: [] - pwr_out_req_watts: [] - energy_out_req_joules: [] - pwr_elec_prop_in_watts: [] - energy_elec_prop_in_joules: [] - pwr_mech_prop_out_watts: [] - energy_mech_prop_out_joules: [] - pwr_mech_dyn_brake_watts: [] - energy_mech_dyn_brake_joules: [] - pwr_elec_dyn_brake_watts: [] - energy_elec_dyn_brake_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] transmission: mass_kilograms: ~ eff_interp: 0.95 @@ -269,17 +214,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 pt_cntrl: RGWDB: @@ -306,16 +240,6 @@ pt_type: aux_power_demand: false charging_for_low_soc: false soc_fc_on_buffer: 0.0 - history: - i: [] - fc_temperature_too_low: [] - vehicle_speed_too_high: [] - on_time_too_short: [] - propulsion_power_demand: [] - propulsion_power_demand_soft: [] - aux_power_demand: [] - charging_for_low_soc: [] - soc_fc_on_buffer: [] aux_cntrl: AuxOnResPriority mass_kilograms: ~ sim_params: @@ -350,6 +274,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -376,33 +301,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/2016 Toyota Prius Two FWD.yaml b/cal_and_val/f3-vehicles/2016 Toyota Prius Two FWD.yaml index d3359381a..65e1eedfa 100644 --- a/cal_and_val/f3-vehicles/2016 Toyota Prius Two FWD.yaml +++ b/cal_and_val/f3-vehicles/2016 Toyota Prius Two FWD.yaml @@ -35,27 +35,6 @@ pt_type: energy_aux_joules: 0.0 energy_loss_joules: 0.0 energy_out_chemical_joules: 0.0 - history: - pwr_prop_max_watts: [] - pwr_regen_max_watts: [] - pwr_disch_max_watts: [] - pwr_charge_max_watts: [] - i: [] - soc: [] - soc_regen_buffer: [] - soc_disch_buffer: [] - eff: [] - soh: [] - pwr_out_electrical_watts: [] - pwr_out_prop_watts: [] - pwr_aux_watts: [] - pwr_loss_watts: [] - pwr_out_chemical_watts: [] - energy_out_electrical_joules: [] - energy_out_prop_joules: [] - energy_aux_joules: [] - energy_loss_joules: [] - energy_out_chemical_joules: [] save_interval: 1 fs: pwr_out_max_watts: 2000000.0 @@ -124,21 +103,6 @@ pt_type: energy_loss_joules: 0.0 fc_on: false time_on_seconds: 0.0 - history: - i: [] - pwr_out_max_watts: [] - pwr_prop_max_watts: [] - eff: [] - pwr_prop_watts: [] - energy_prop_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_fuel_watts: [] - energy_fuel_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] - fc_on: [] - time_on_seconds: [] save_interval: 1 em: eff_interp_achieved: @@ -236,25 +200,6 @@ pt_type: energy_elec_dyn_brake_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - eff: [] - pwr_mech_fwd_out_max_watts: [] - eff_fwd_at_max_input: [] - pwr_mech_regen_max_watts: [] - eff_at_max_regen: [] - pwr_out_req_watts: [] - energy_out_req_joules: [] - pwr_elec_prop_in_watts: [] - energy_elec_prop_in_joules: [] - pwr_mech_prop_out_watts: [] - energy_mech_prop_out_joules: [] - pwr_mech_dyn_brake_watts: [] - energy_mech_dyn_brake_joules: [] - pwr_elec_dyn_brake_watts: [] - energy_elec_dyn_brake_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] transmission: mass_kilograms: ~ eff_interp: 0.98 @@ -269,17 +214,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 pt_cntrl: RGWDB: @@ -306,16 +240,6 @@ pt_type: aux_power_demand: false charging_for_low_soc: false soc_fc_on_buffer: 0.0 - history: - i: [] - fc_temperature_too_low: [] - vehicle_speed_too_high: [] - on_time_too_short: [] - propulsion_power_demand: [] - propulsion_power_demand_soft: [] - aux_power_demand: [] - charging_for_low_soc: [] - soc_fc_on_buffer: [] aux_cntrl: AuxOnResPriority mass_kilograms: ~ sim_params: @@ -350,6 +274,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -376,33 +301,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/2017 CHEVROLET Bolt.yaml b/cal_and_val/f3-vehicles/2017 CHEVROLET Bolt.yaml index 6d39af0b6..03209ba30 100644 --- a/cal_and_val/f3-vehicles/2017 CHEVROLET Bolt.yaml +++ b/cal_and_val/f3-vehicles/2017 CHEVROLET Bolt.yaml @@ -35,27 +35,6 @@ pt_type: energy_aux_joules: 0.0 energy_loss_joules: 0.0 energy_out_chemical_joules: 0.0 - history: - pwr_prop_max_watts: [] - pwr_regen_max_watts: [] - pwr_disch_max_watts: [] - pwr_charge_max_watts: [] - i: [] - soc: [] - soc_regen_buffer: [] - soc_disch_buffer: [] - eff: [] - soh: [] - pwr_out_electrical_watts: [] - pwr_out_prop_watts: [] - pwr_aux_watts: [] - pwr_loss_watts: [] - pwr_out_chemical_watts: [] - energy_out_electrical_joules: [] - energy_out_prop_joules: [] - energy_aux_joules: [] - energy_loss_joules: [] - energy_out_chemical_joules: [] save_interval: 1 em: eff_interp_achieved: @@ -153,25 +132,6 @@ pt_type: energy_elec_dyn_brake_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - eff: [] - pwr_mech_fwd_out_max_watts: [] - eff_fwd_at_max_input: [] - pwr_mech_regen_max_watts: [] - eff_at_max_regen: [] - pwr_out_req_watts: [] - energy_out_req_joules: [] - pwr_elec_prop_in_watts: [] - energy_elec_prop_in_joules: [] - pwr_mech_prop_out_watts: [] - energy_mech_prop_out_joules: [] - pwr_mech_dyn_brake_watts: [] - energy_mech_dyn_brake_joules: [] - pwr_elec_dyn_brake_watts: [] - energy_elec_dyn_brake_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] transmission: mass_kilograms: ~ eff_interp: 0.98 @@ -186,17 +146,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 mass_kilograms: ~ chassis: @@ -224,6 +173,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -250,33 +200,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/2017 Maruti Dzire VDI.yaml b/cal_and_val/f3-vehicles/2017 Maruti Dzire VDI.yaml index 0606f9358..0d8879090 100644 --- a/cal_and_val/f3-vehicles/2017 Maruti Dzire VDI.yaml +++ b/cal_and_val/f3-vehicles/2017 Maruti Dzire VDI.yaml @@ -71,21 +71,6 @@ pt_type: energy_loss_joules: 0.0 fc_on: false time_on_seconds: 0.0 - history: - i: [] - pwr_out_max_watts: [] - pwr_prop_max_watts: [] - eff: [] - pwr_prop_watts: [] - energy_prop_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_fuel_watts: [] - energy_fuel_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] - fc_on: [] - time_on_seconds: [] save_interval: 1 transmission: mass_kilograms: ~ @@ -101,17 +86,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 pt_cntrl: Normal dfco_cntrl: @@ -122,9 +96,6 @@ pt_type: state: i: 0 vehicle_dynamics_prevent_dfco: false - history: - i: [] - vehicle_dynamics_prevent_dfco: [] mass_kilograms: ~ alt_eff: 1.0 chassis: @@ -152,6 +123,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -178,33 +150,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/2017 Prius Prime.yaml b/cal_and_val/f3-vehicles/2017 Prius Prime.yaml index df9d78269..14a441ae3 100644 --- a/cal_and_val/f3-vehicles/2017 Prius Prime.yaml +++ b/cal_and_val/f3-vehicles/2017 Prius Prime.yaml @@ -35,27 +35,6 @@ pt_type: energy_aux_joules: 0.0 energy_loss_joules: 0.0 energy_out_chemical_joules: 0.0 - history: - pwr_prop_max_watts: [] - pwr_regen_max_watts: [] - pwr_disch_max_watts: [] - pwr_charge_max_watts: [] - i: [] - soc: [] - soc_regen_buffer: [] - soc_disch_buffer: [] - eff: [] - soh: [] - pwr_out_electrical_watts: [] - pwr_out_prop_watts: [] - pwr_aux_watts: [] - pwr_loss_watts: [] - pwr_out_chemical_watts: [] - energy_out_electrical_joules: [] - energy_out_prop_joules: [] - energy_aux_joules: [] - energy_loss_joules: [] - energy_out_chemical_joules: [] save_interval: 1 fs: pwr_out_max_watts: 2000000.0 @@ -124,21 +103,6 @@ pt_type: energy_loss_joules: 0.0 fc_on: false time_on_seconds: 0.0 - history: - i: [] - pwr_out_max_watts: [] - pwr_prop_max_watts: [] - eff: [] - pwr_prop_watts: [] - energy_prop_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_fuel_watts: [] - energy_fuel_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] - fc_on: [] - time_on_seconds: [] save_interval: 1 em: eff_interp_achieved: @@ -236,25 +200,6 @@ pt_type: energy_elec_dyn_brake_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - eff: [] - pwr_mech_fwd_out_max_watts: [] - eff_fwd_at_max_input: [] - pwr_mech_regen_max_watts: [] - eff_at_max_regen: [] - pwr_out_req_watts: [] - energy_out_req_joules: [] - pwr_elec_prop_in_watts: [] - energy_elec_prop_in_joules: [] - pwr_mech_prop_out_watts: [] - energy_mech_prop_out_joules: [] - pwr_mech_dyn_brake_watts: [] - energy_mech_dyn_brake_joules: [] - pwr_elec_dyn_brake_watts: [] - energy_elec_dyn_brake_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] transmission: mass_kilograms: ~ eff_interp: 0.98 @@ -269,17 +214,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 pt_cntrl: RGWDB: @@ -306,16 +240,6 @@ pt_type: aux_power_demand: false charging_for_low_soc: false soc_fc_on_buffer: 0.0 - history: - i: [] - fc_temperature_too_low: [] - vehicle_speed_too_high: [] - on_time_too_short: [] - propulsion_power_demand: [] - propulsion_power_demand_soft: [] - aux_power_demand: [] - charging_for_low_soc: [] - soc_fc_on_buffer: [] aux_cntrl: AuxOnResPriority mass_kilograms: ~ sim_params: @@ -350,6 +274,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -376,33 +301,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/2017 Toyota Highlander 3.5 L.yaml b/cal_and_val/f3-vehicles/2017 Toyota Highlander 3.5 L.yaml index d5fa73de2..3d7f68be8 100644 --- a/cal_and_val/f3-vehicles/2017 Toyota Highlander 3.5 L.yaml +++ b/cal_and_val/f3-vehicles/2017 Toyota Highlander 3.5 L.yaml @@ -71,21 +71,6 @@ pt_type: energy_loss_joules: 0.0 fc_on: false time_on_seconds: 0.0 - history: - i: [] - pwr_out_max_watts: [] - pwr_prop_max_watts: [] - eff: [] - pwr_prop_watts: [] - energy_prop_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_fuel_watts: [] - energy_fuel_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] - fc_on: [] - time_on_seconds: [] save_interval: 1 transmission: mass_kilograms: ~ @@ -101,17 +86,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 pt_cntrl: Normal dfco_cntrl: @@ -122,9 +96,6 @@ pt_type: state: i: 0 vehicle_dynamics_prevent_dfco: false - history: - i: [] - vehicle_dynamics_prevent_dfco: [] mass_kilograms: ~ alt_eff: 1.0 chassis: @@ -152,6 +123,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -178,33 +150,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/2020 Chevrolet Colorado 2WD Diesel.yaml b/cal_and_val/f3-vehicles/2020 Chevrolet Colorado 2WD Diesel.yaml index dbb75aa87..2a2b04714 100644 --- a/cal_and_val/f3-vehicles/2020 Chevrolet Colorado 2WD Diesel.yaml +++ b/cal_and_val/f3-vehicles/2020 Chevrolet Colorado 2WD Diesel.yaml @@ -71,21 +71,6 @@ pt_type: energy_loss_joules: 0.0 fc_on: false time_on_seconds: 0.0 - history: - i: [] - pwr_out_max_watts: [] - pwr_prop_max_watts: [] - eff: [] - pwr_prop_watts: [] - energy_prop_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_fuel_watts: [] - energy_fuel_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] - fc_on: [] - time_on_seconds: [] save_interval: 1 transmission: mass_kilograms: ~ @@ -101,17 +86,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 pt_cntrl: Normal dfco_cntrl: @@ -122,9 +96,6 @@ pt_type: state: i: 0 vehicle_dynamics_prevent_dfco: false - history: - i: [] - vehicle_dynamics_prevent_dfco: [] mass_kilograms: ~ alt_eff: 1.0 chassis: @@ -137,7 +108,7 @@ chassis: tire_code: ~ cg_height_meters: 0.53 wheel_fric_coef: 0.7 - drive_type: RWD + drive_type: FWD drive_axle_weight_frac: 0.61 wheel_base_meters: 3.26 mass_kilograms: ~ @@ -152,6 +123,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -178,33 +150,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/2020 Hero Splendor+ 100cc.yaml b/cal_and_val/f3-vehicles/2020 Hero Splendor+ 100cc.yaml index 2cf497f71..089840377 100644 --- a/cal_and_val/f3-vehicles/2020 Hero Splendor+ 100cc.yaml +++ b/cal_and_val/f3-vehicles/2020 Hero Splendor+ 100cc.yaml @@ -71,21 +71,6 @@ pt_type: energy_loss_joules: 0.0 fc_on: false time_on_seconds: 0.0 - history: - i: [] - pwr_out_max_watts: [] - pwr_prop_max_watts: [] - eff: [] - pwr_prop_watts: [] - energy_prop_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_fuel_watts: [] - energy_fuel_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] - fc_on: [] - time_on_seconds: [] save_interval: 1 transmission: mass_kilograms: ~ @@ -101,17 +86,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 pt_cntrl: Normal dfco_cntrl: @@ -122,9 +96,6 @@ pt_type: state: i: 0 vehicle_dynamics_prevent_dfco: false - history: - i: [] - vehicle_dynamics_prevent_dfco: [] mass_kilograms: ~ alt_eff: 1.0 chassis: @@ -152,6 +123,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -178,33 +150,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/2020 VW Golf 1.5TSI.yaml b/cal_and_val/f3-vehicles/2020 VW Golf 1.5TSI.yaml index cfef17b5a..d745f042c 100644 --- a/cal_and_val/f3-vehicles/2020 VW Golf 1.5TSI.yaml +++ b/cal_and_val/f3-vehicles/2020 VW Golf 1.5TSI.yaml @@ -71,21 +71,6 @@ pt_type: energy_loss_joules: 0.0 fc_on: false time_on_seconds: 0.0 - history: - i: [] - pwr_out_max_watts: [] - pwr_prop_max_watts: [] - eff: [] - pwr_prop_watts: [] - energy_prop_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_fuel_watts: [] - energy_fuel_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] - fc_on: [] - time_on_seconds: [] save_interval: 1 transmission: mass_kilograms: ~ @@ -101,17 +86,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 pt_cntrl: Normal dfco_cntrl: @@ -122,9 +96,6 @@ pt_type: state: i: 0 vehicle_dynamics_prevent_dfco: false - history: - i: [] - vehicle_dynamics_prevent_dfco: [] mass_kilograms: ~ alt_eff: 1.0 chassis: @@ -152,6 +123,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -178,33 +150,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/2020 VW Golf 2.0TDI.yaml b/cal_and_val/f3-vehicles/2020 VW Golf 2.0TDI.yaml index 85a5d8d65..5f288562a 100644 --- a/cal_and_val/f3-vehicles/2020 VW Golf 2.0TDI.yaml +++ b/cal_and_val/f3-vehicles/2020 VW Golf 2.0TDI.yaml @@ -71,21 +71,6 @@ pt_type: energy_loss_joules: 0.0 fc_on: false time_on_seconds: 0.0 - history: - i: [] - pwr_out_max_watts: [] - pwr_prop_max_watts: [] - eff: [] - pwr_prop_watts: [] - energy_prop_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_fuel_watts: [] - energy_fuel_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] - fc_on: [] - time_on_seconds: [] save_interval: 1 transmission: mass_kilograms: ~ @@ -101,17 +86,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 pt_cntrl: Normal dfco_cntrl: @@ -122,9 +96,6 @@ pt_type: state: i: 0 vehicle_dynamics_prevent_dfco: false - history: - i: [] - vehicle_dynamics_prevent_dfco: [] mass_kilograms: ~ alt_eff: 1.0 chassis: @@ -152,6 +123,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -178,33 +150,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/2021 BMW iX xDrive40.yaml b/cal_and_val/f3-vehicles/2021 BMW iX xDrive40.yaml index cc1672682..b66c06a0b 100644 --- a/cal_and_val/f3-vehicles/2021 BMW iX xDrive40.yaml +++ b/cal_and_val/f3-vehicles/2021 BMW iX xDrive40.yaml @@ -35,27 +35,6 @@ pt_type: energy_aux_joules: 0.0 energy_loss_joules: 0.0 energy_out_chemical_joules: 0.0 - history: - pwr_prop_max_watts: [] - pwr_regen_max_watts: [] - pwr_disch_max_watts: [] - pwr_charge_max_watts: [] - i: [] - soc: [] - soc_regen_buffer: [] - soc_disch_buffer: [] - eff: [] - soh: [] - pwr_out_electrical_watts: [] - pwr_out_prop_watts: [] - pwr_aux_watts: [] - pwr_loss_watts: [] - pwr_out_chemical_watts: [] - energy_out_electrical_joules: [] - energy_out_prop_joules: [] - energy_aux_joules: [] - energy_loss_joules: [] - energy_out_chemical_joules: [] save_interval: 1 em: eff_interp_achieved: @@ -153,25 +132,6 @@ pt_type: energy_elec_dyn_brake_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - eff: [] - pwr_mech_fwd_out_max_watts: [] - eff_fwd_at_max_input: [] - pwr_mech_regen_max_watts: [] - eff_at_max_regen: [] - pwr_out_req_watts: [] - energy_out_req_joules: [] - pwr_elec_prop_in_watts: [] - energy_elec_prop_in_joules: [] - pwr_mech_prop_out_watts: [] - energy_mech_prop_out_joules: [] - pwr_mech_dyn_brake_watts: [] - energy_mech_dyn_brake_joules: [] - pwr_elec_dyn_brake_watts: [] - energy_elec_dyn_brake_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] transmission: mass_kilograms: ~ eff_interp: 0.98 @@ -186,17 +146,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 mass_kilograms: ~ chassis: @@ -207,7 +156,7 @@ chassis: num_wheels: 4 wheel_radius_meters: 0.395 tire_code: ~ - cg_height_meters: -0.53 + cg_height_meters: 0.53 wheel_fric_coef: 0.8 drive_type: RWD drive_axle_weight_frac: 0.61 @@ -224,6 +173,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -250,33 +200,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/2021 Cupra Born.yaml b/cal_and_val/f3-vehicles/2021 Cupra Born.yaml index df1c3b5b3..05dfd3355 100644 --- a/cal_and_val/f3-vehicles/2021 Cupra Born.yaml +++ b/cal_and_val/f3-vehicles/2021 Cupra Born.yaml @@ -35,27 +35,6 @@ pt_type: energy_aux_joules: 0.0 energy_loss_joules: 0.0 energy_out_chemical_joules: 0.0 - history: - pwr_prop_max_watts: [] - pwr_regen_max_watts: [] - pwr_disch_max_watts: [] - pwr_charge_max_watts: [] - i: [] - soc: [] - soc_regen_buffer: [] - soc_disch_buffer: [] - eff: [] - soh: [] - pwr_out_electrical_watts: [] - pwr_out_prop_watts: [] - pwr_aux_watts: [] - pwr_loss_watts: [] - pwr_out_chemical_watts: [] - energy_out_electrical_joules: [] - energy_out_prop_joules: [] - energy_aux_joules: [] - energy_loss_joules: [] - energy_out_chemical_joules: [] save_interval: 1 em: eff_interp_achieved: @@ -153,25 +132,6 @@ pt_type: energy_elec_dyn_brake_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - eff: [] - pwr_mech_fwd_out_max_watts: [] - eff_fwd_at_max_input: [] - pwr_mech_regen_max_watts: [] - eff_at_max_regen: [] - pwr_out_req_watts: [] - energy_out_req_joules: [] - pwr_elec_prop_in_watts: [] - energy_elec_prop_in_joules: [] - pwr_mech_prop_out_watts: [] - energy_mech_prop_out_joules: [] - pwr_mech_dyn_brake_watts: [] - energy_mech_dyn_brake_joules: [] - pwr_elec_dyn_brake_watts: [] - energy_elec_dyn_brake_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] transmission: mass_kilograms: ~ eff_interp: 0.98 @@ -186,17 +146,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 mass_kilograms: ~ chassis: @@ -207,7 +156,7 @@ chassis: num_wheels: 4 wheel_radius_meters: 0.3488 tire_code: ~ - cg_height_meters: -0.53 + cg_height_meters: 0.53 wheel_fric_coef: 0.8 drive_type: RWD drive_axle_weight_frac: 0.61 @@ -224,6 +173,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -250,33 +200,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/2021 Fiat Panda Mild Hybrid.yaml b/cal_and_val/f3-vehicles/2021 Fiat Panda Mild Hybrid.yaml index 85d244cf9..e70113e96 100644 --- a/cal_and_val/f3-vehicles/2021 Fiat Panda Mild Hybrid.yaml +++ b/cal_and_val/f3-vehicles/2021 Fiat Panda Mild Hybrid.yaml @@ -71,21 +71,6 @@ pt_type: energy_loss_joules: 0.0 fc_on: false time_on_seconds: 0.0 - history: - i: [] - pwr_out_max_watts: [] - pwr_prop_max_watts: [] - eff: [] - pwr_prop_watts: [] - energy_prop_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_fuel_watts: [] - energy_fuel_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] - fc_on: [] - time_on_seconds: [] save_interval: 1 transmission: mass_kilograms: ~ @@ -101,17 +86,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 pt_cntrl: Normal dfco_cntrl: @@ -122,9 +96,6 @@ pt_type: state: i: 0 vehicle_dynamics_prevent_dfco: false - history: - i: [] - vehicle_dynamics_prevent_dfco: [] mass_kilograms: ~ alt_eff: 1.0 chassis: @@ -152,6 +123,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -178,33 +150,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/2021 Honda N-Box G.yaml b/cal_and_val/f3-vehicles/2021 Honda N-Box G.yaml index d338f51e2..b2ca4d6ef 100644 --- a/cal_and_val/f3-vehicles/2021 Honda N-Box G.yaml +++ b/cal_and_val/f3-vehicles/2021 Honda N-Box G.yaml @@ -71,21 +71,6 @@ pt_type: energy_loss_joules: 0.0 fc_on: false time_on_seconds: 0.0 - history: - i: [] - pwr_out_max_watts: [] - pwr_prop_max_watts: [] - eff: [] - pwr_prop_watts: [] - energy_prop_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_fuel_watts: [] - energy_fuel_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] - fc_on: [] - time_on_seconds: [] save_interval: 1 transmission: mass_kilograms: ~ @@ -101,17 +86,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 pt_cntrl: Normal dfco_cntrl: @@ -122,9 +96,6 @@ pt_type: state: i: 0 vehicle_dynamics_prevent_dfco: false - history: - i: [] - vehicle_dynamics_prevent_dfco: [] mass_kilograms: ~ alt_eff: 1.0 chassis: @@ -152,6 +123,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -178,33 +150,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/2021 Peugot 3008.yaml b/cal_and_val/f3-vehicles/2021 Peugot 3008.yaml index 92d6f293f..f77a41037 100644 --- a/cal_and_val/f3-vehicles/2021 Peugot 3008.yaml +++ b/cal_and_val/f3-vehicles/2021 Peugot 3008.yaml @@ -71,21 +71,6 @@ pt_type: energy_loss_joules: 0.0 fc_on: false time_on_seconds: 0.0 - history: - i: [] - pwr_out_max_watts: [] - pwr_prop_max_watts: [] - eff: [] - pwr_prop_watts: [] - energy_prop_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_fuel_watts: [] - energy_fuel_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] - fc_on: [] - time_on_seconds: [] save_interval: 1 transmission: mass_kilograms: ~ @@ -101,17 +86,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 pt_cntrl: Normal dfco_cntrl: @@ -122,9 +96,6 @@ pt_type: state: i: 0 vehicle_dynamics_prevent_dfco: false - history: - i: [] - vehicle_dynamics_prevent_dfco: [] mass_kilograms: ~ alt_eff: 1.0 chassis: @@ -152,6 +123,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -178,33 +150,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/2022 Ford F-150 Lightning 4WD.yaml b/cal_and_val/f3-vehicles/2022 Ford F-150 Lightning 4WD.yaml index 2d2a7bc78..720018a79 100644 --- a/cal_and_val/f3-vehicles/2022 Ford F-150 Lightning 4WD.yaml +++ b/cal_and_val/f3-vehicles/2022 Ford F-150 Lightning 4WD.yaml @@ -35,27 +35,6 @@ pt_type: energy_aux_joules: 0.0 energy_loss_joules: 0.0 energy_out_chemical_joules: 0.0 - history: - pwr_prop_max_watts: [] - pwr_regen_max_watts: [] - pwr_disch_max_watts: [] - pwr_charge_max_watts: [] - i: [] - soc: [] - soc_regen_buffer: [] - soc_disch_buffer: [] - eff: [] - soh: [] - pwr_out_electrical_watts: [] - pwr_out_prop_watts: [] - pwr_aux_watts: [] - pwr_loss_watts: [] - pwr_out_chemical_watts: [] - energy_out_electrical_joules: [] - energy_out_prop_joules: [] - energy_aux_joules: [] - energy_loss_joules: [] - energy_out_chemical_joules: [] save_interval: 1 em: eff_interp_achieved: @@ -153,25 +132,6 @@ pt_type: energy_elec_dyn_brake_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - eff: [] - pwr_mech_fwd_out_max_watts: [] - eff_fwd_at_max_input: [] - pwr_mech_regen_max_watts: [] - eff_at_max_regen: [] - pwr_out_req_watts: [] - energy_out_req_joules: [] - pwr_elec_prop_in_watts: [] - energy_elec_prop_in_joules: [] - pwr_mech_prop_out_watts: [] - energy_mech_prop_out_joules: [] - pwr_mech_dyn_brake_watts: [] - energy_mech_dyn_brake_joules: [] - pwr_elec_dyn_brake_watts: [] - energy_elec_dyn_brake_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] transmission: mass_kilograms: ~ eff_interp: 0.98 @@ -186,17 +146,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 mass_kilograms: ~ chassis: @@ -207,10 +156,10 @@ chassis: num_wheels: 4 wheel_radius_meters: 0.4169 tire_code: ~ - cg_height_meters: -0.53 + cg_height_meters: 0.53 wheel_fric_coef: 0.7 - drive_type: AWD - drive_axle_weight_frac: 1.0 + drive_type: RWD + drive_axle_weight_frac: 0.59 wheel_base_meters: 2.6 mass_kilograms: ~ glider_mass_kilograms: ~ @@ -224,6 +173,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -250,33 +200,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/2022 MINI Cooper SE Hardtop 2 door.yaml b/cal_and_val/f3-vehicles/2022 MINI Cooper SE Hardtop 2 door.yaml index 860b7f06d..d7528ce5a 100755 --- a/cal_and_val/f3-vehicles/2022 MINI Cooper SE Hardtop 2 door.yaml +++ b/cal_and_val/f3-vehicles/2022 MINI Cooper SE Hardtop 2 door.yaml @@ -35,27 +35,6 @@ pt_type: energy_aux_joules: 0.0 energy_loss_joules: 0.0 energy_out_chemical_joules: 0.0 - history: - pwr_prop_max_watts: [] - pwr_regen_max_watts: [] - pwr_disch_max_watts: [] - pwr_charge_max_watts: [] - i: [] - soc: [] - soc_regen_buffer: [] - soc_disch_buffer: [] - eff: [] - soh: [] - pwr_out_electrical_watts: [] - pwr_out_prop_watts: [] - pwr_aux_watts: [] - pwr_loss_watts: [] - pwr_out_chemical_watts: [] - energy_out_electrical_joules: [] - energy_out_prop_joules: [] - energy_aux_joules: [] - energy_loss_joules: [] - energy_out_chemical_joules: [] save_interval: 1 em: eff_interp_achieved: @@ -153,25 +132,6 @@ pt_type: energy_elec_dyn_brake_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - eff: [] - pwr_mech_fwd_out_max_watts: [] - eff_fwd_at_max_input: [] - pwr_mech_regen_max_watts: [] - eff_at_max_regen: [] - pwr_out_req_watts: [] - energy_out_req_joules: [] - pwr_elec_prop_in_watts: [] - energy_elec_prop_in_joules: [] - pwr_mech_prop_out_watts: [] - energy_mech_prop_out_joules: [] - pwr_mech_dyn_brake_watts: [] - energy_mech_dyn_brake_joules: [] - pwr_elec_dyn_brake_watts: [] - energy_elec_dyn_brake_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] transmission: mass_kilograms: ~ eff_interp: 0.98 @@ -186,17 +146,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 mass_kilograms: ~ chassis: @@ -224,6 +173,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -250,33 +200,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/2022 Renault Megane E-Tech.yaml b/cal_and_val/f3-vehicles/2022 Renault Megane E-Tech.yaml index 61454f2d1..495f671ef 100644 --- a/cal_and_val/f3-vehicles/2022 Renault Megane E-Tech.yaml +++ b/cal_and_val/f3-vehicles/2022 Renault Megane E-Tech.yaml @@ -35,27 +35,6 @@ pt_type: energy_aux_joules: 0.0 energy_loss_joules: 0.0 energy_out_chemical_joules: 0.0 - history: - pwr_prop_max_watts: [] - pwr_regen_max_watts: [] - pwr_disch_max_watts: [] - pwr_charge_max_watts: [] - i: [] - soc: [] - soc_regen_buffer: [] - soc_disch_buffer: [] - eff: [] - soh: [] - pwr_out_electrical_watts: [] - pwr_out_prop_watts: [] - pwr_aux_watts: [] - pwr_loss_watts: [] - pwr_out_chemical_watts: [] - energy_out_electrical_joules: [] - energy_out_prop_joules: [] - energy_aux_joules: [] - energy_loss_joules: [] - energy_out_chemical_joules: [] save_interval: 1 em: eff_interp_achieved: @@ -153,25 +132,6 @@ pt_type: energy_elec_dyn_brake_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - eff: [] - pwr_mech_fwd_out_max_watts: [] - eff_fwd_at_max_input: [] - pwr_mech_regen_max_watts: [] - eff_at_max_regen: [] - pwr_out_req_watts: [] - energy_out_req_joules: [] - pwr_elec_prop_in_watts: [] - energy_elec_prop_in_joules: [] - pwr_mech_prop_out_watts: [] - energy_mech_prop_out_joules: [] - pwr_mech_dyn_brake_watts: [] - energy_mech_dyn_brake_joules: [] - pwr_elec_dyn_brake_watts: [] - energy_elec_dyn_brake_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] transmission: mass_kilograms: ~ eff_interp: 0.98 @@ -186,17 +146,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 mass_kilograms: ~ chassis: @@ -224,6 +173,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -250,33 +200,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/2022 Renault Zoe ZE50 R135.yaml b/cal_and_val/f3-vehicles/2022 Renault Zoe ZE50 R135.yaml index d3af44514..eb488c734 100644 --- a/cal_and_val/f3-vehicles/2022 Renault Zoe ZE50 R135.yaml +++ b/cal_and_val/f3-vehicles/2022 Renault Zoe ZE50 R135.yaml @@ -35,27 +35,6 @@ pt_type: energy_aux_joules: 0.0 energy_loss_joules: 0.0 energy_out_chemical_joules: 0.0 - history: - pwr_prop_max_watts: [] - pwr_regen_max_watts: [] - pwr_disch_max_watts: [] - pwr_charge_max_watts: [] - i: [] - soc: [] - soc_regen_buffer: [] - soc_disch_buffer: [] - eff: [] - soh: [] - pwr_out_electrical_watts: [] - pwr_out_prop_watts: [] - pwr_aux_watts: [] - pwr_loss_watts: [] - pwr_out_chemical_watts: [] - energy_out_electrical_joules: [] - energy_out_prop_joules: [] - energy_aux_joules: [] - energy_loss_joules: [] - energy_out_chemical_joules: [] save_interval: 1 em: eff_interp_achieved: @@ -153,25 +132,6 @@ pt_type: energy_elec_dyn_brake_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - eff: [] - pwr_mech_fwd_out_max_watts: [] - eff_fwd_at_max_input: [] - pwr_mech_regen_max_watts: [] - eff_at_max_regen: [] - pwr_out_req_watts: [] - energy_out_req_joules: [] - pwr_elec_prop_in_watts: [] - energy_elec_prop_in_joules: [] - pwr_mech_prop_out_watts: [] - energy_mech_prop_out_joules: [] - pwr_mech_dyn_brake_watts: [] - energy_mech_dyn_brake_joules: [] - pwr_elec_dyn_brake_watts: [] - energy_elec_dyn_brake_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] transmission: mass_kilograms: ~ eff_interp: 0.92 @@ -186,17 +146,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 mass_kilograms: ~ chassis: @@ -224,6 +173,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -250,33 +200,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/2022 Tesla Model 3 RWD.yaml b/cal_and_val/f3-vehicles/2022 Tesla Model 3 RWD.yaml index db1af6786..b21a90322 100644 --- a/cal_and_val/f3-vehicles/2022 Tesla Model 3 RWD.yaml +++ b/cal_and_val/f3-vehicles/2022 Tesla Model 3 RWD.yaml @@ -35,27 +35,6 @@ pt_type: energy_aux_joules: 0.0 energy_loss_joules: 0.0 energy_out_chemical_joules: 0.0 - history: - pwr_prop_max_watts: [] - pwr_regen_max_watts: [] - pwr_disch_max_watts: [] - pwr_charge_max_watts: [] - i: [] - soc: [] - soc_regen_buffer: [] - soc_disch_buffer: [] - eff: [] - soh: [] - pwr_out_electrical_watts: [] - pwr_out_prop_watts: [] - pwr_aux_watts: [] - pwr_loss_watts: [] - pwr_out_chemical_watts: [] - energy_out_electrical_joules: [] - energy_out_prop_joules: [] - energy_aux_joules: [] - energy_loss_joules: [] - energy_out_chemical_joules: [] save_interval: 1 em: eff_interp_achieved: @@ -153,25 +132,6 @@ pt_type: energy_elec_dyn_brake_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - eff: [] - pwr_mech_fwd_out_max_watts: [] - eff_fwd_at_max_input: [] - pwr_mech_regen_max_watts: [] - eff_at_max_regen: [] - pwr_out_req_watts: [] - energy_out_req_joules: [] - pwr_elec_prop_in_watts: [] - energy_elec_prop_in_joules: [] - pwr_mech_prop_out_watts: [] - energy_mech_prop_out_joules: [] - pwr_mech_dyn_brake_watts: [] - energy_mech_dyn_brake_joules: [] - pwr_elec_dyn_brake_watts: [] - energy_elec_dyn_brake_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] transmission: mass_kilograms: ~ eff_interp: 0.98 @@ -186,17 +146,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 mass_kilograms: ~ chassis: @@ -207,7 +156,7 @@ chassis: num_wheels: 4 wheel_radius_meters: 0.33435 tire_code: ~ - cg_height_meters: -0.53 + cg_height_meters: 0.53 wheel_fric_coef: 0.7 drive_type: RWD drive_axle_weight_frac: 0.59 @@ -224,6 +173,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -250,33 +200,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/2022 Tesla Model Y RWD.yaml b/cal_and_val/f3-vehicles/2022 Tesla Model Y RWD.yaml index 46397538b..e74eeb13c 100644 --- a/cal_and_val/f3-vehicles/2022 Tesla Model Y RWD.yaml +++ b/cal_and_val/f3-vehicles/2022 Tesla Model Y RWD.yaml @@ -35,27 +35,6 @@ pt_type: energy_aux_joules: 0.0 energy_loss_joules: 0.0 energy_out_chemical_joules: 0.0 - history: - pwr_prop_max_watts: [] - pwr_regen_max_watts: [] - pwr_disch_max_watts: [] - pwr_charge_max_watts: [] - i: [] - soc: [] - soc_regen_buffer: [] - soc_disch_buffer: [] - eff: [] - soh: [] - pwr_out_electrical_watts: [] - pwr_out_prop_watts: [] - pwr_aux_watts: [] - pwr_loss_watts: [] - pwr_out_chemical_watts: [] - energy_out_electrical_joules: [] - energy_out_prop_joules: [] - energy_aux_joules: [] - energy_loss_joules: [] - energy_out_chemical_joules: [] save_interval: 1 em: eff_interp_achieved: @@ -153,25 +132,6 @@ pt_type: energy_elec_dyn_brake_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - eff: [] - pwr_mech_fwd_out_max_watts: [] - eff_fwd_at_max_input: [] - pwr_mech_regen_max_watts: [] - eff_at_max_regen: [] - pwr_out_req_watts: [] - energy_out_req_joules: [] - pwr_elec_prop_in_watts: [] - energy_elec_prop_in_joules: [] - pwr_mech_prop_out_watts: [] - energy_mech_prop_out_joules: [] - pwr_mech_dyn_brake_watts: [] - energy_mech_dyn_brake_joules: [] - pwr_elec_dyn_brake_watts: [] - energy_elec_dyn_brake_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] transmission: mass_kilograms: ~ eff_interp: 0.98 @@ -186,17 +146,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 mass_kilograms: ~ chassis: @@ -207,7 +156,7 @@ chassis: num_wheels: 4 wheel_radius_meters: 0.36295 tire_code: ~ - cg_height_meters: -0.53 + cg_height_meters: 0.53 wheel_fric_coef: 0.7 drive_type: RWD drive_axle_weight_frac: 0.59 @@ -224,6 +173,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -250,33 +200,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/2022 Toyota RAV4 Hybrid LE.yaml b/cal_and_val/f3-vehicles/2022 Toyota RAV4 Hybrid LE.yaml index 06e398a05..3fa4cbdc3 100644 --- a/cal_and_val/f3-vehicles/2022 Toyota RAV4 Hybrid LE.yaml +++ b/cal_and_val/f3-vehicles/2022 Toyota RAV4 Hybrid LE.yaml @@ -35,27 +35,6 @@ pt_type: energy_aux_joules: 0.0 energy_loss_joules: 0.0 energy_out_chemical_joules: 0.0 - history: - pwr_prop_max_watts: [] - pwr_regen_max_watts: [] - pwr_disch_max_watts: [] - pwr_charge_max_watts: [] - i: [] - soc: [] - soc_regen_buffer: [] - soc_disch_buffer: [] - eff: [] - soh: [] - pwr_out_electrical_watts: [] - pwr_out_prop_watts: [] - pwr_aux_watts: [] - pwr_loss_watts: [] - pwr_out_chemical_watts: [] - energy_out_electrical_joules: [] - energy_out_prop_joules: [] - energy_aux_joules: [] - energy_loss_joules: [] - energy_out_chemical_joules: [] save_interval: 1 fs: pwr_out_max_watts: 1000000.0 @@ -124,21 +103,6 @@ pt_type: energy_loss_joules: 0.0 fc_on: false time_on_seconds: 0.0 - history: - i: [] - pwr_out_max_watts: [] - pwr_prop_max_watts: [] - eff: [] - pwr_prop_watts: [] - energy_prop_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_fuel_watts: [] - energy_fuel_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] - fc_on: [] - time_on_seconds: [] save_interval: 1 em: eff_interp_achieved: @@ -213,7 +177,7 @@ pt_type: - 0.93 strategy: Linear extrapolate: Error - pwr_out_max_watts: 25000.0 + pwr_out_max_watts: 128000.0 specific_pwr_watts_per_kilogram: ~ mass_kilograms: ~ save_interval: 1 @@ -236,25 +200,6 @@ pt_type: energy_elec_dyn_brake_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - eff: [] - pwr_mech_fwd_out_max_watts: [] - eff_fwd_at_max_input: [] - pwr_mech_regen_max_watts: [] - eff_at_max_regen: [] - pwr_out_req_watts: [] - energy_out_req_joules: [] - pwr_elec_prop_in_watts: [] - energy_elec_prop_in_joules: [] - pwr_mech_prop_out_watts: [] - energy_mech_prop_out_joules: [] - pwr_mech_dyn_brake_watts: [] - energy_mech_dyn_brake_joules: [] - pwr_elec_dyn_brake_watts: [] - energy_elec_dyn_brake_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] transmission: mass_kilograms: ~ eff_interp: 0.97 @@ -269,17 +214,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 pt_cntrl: RGWDB: @@ -306,16 +240,6 @@ pt_type: aux_power_demand: false charging_for_low_soc: false soc_fc_on_buffer: 0.0 - history: - i: [] - fc_temperature_too_low: [] - vehicle_speed_too_high: [] - on_time_too_short: [] - propulsion_power_demand: [] - propulsion_power_demand_soft: [] - aux_power_demand: [] - charging_for_low_soc: [] - soc_fc_on_buffer: [] aux_cntrl: AuxOnResPriority mass_kilograms: ~ sim_params: @@ -333,10 +257,10 @@ chassis: num_wheels: 4 wheel_radius_meters: 0.36215 tire_code: ~ - cg_height_meters: -0.53 + cg_height_meters: 0.53 wheel_fric_coef: 0.8 - drive_type: AWD - drive_axle_weight_frac: 1.0 + drive_type: RWD + drive_axle_weight_frac: 0.61 wheel_base_meters: 2.68986 mass_kilograms: ~ glider_mass_kilograms: ~ @@ -350,6 +274,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -376,33 +301,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/2022 Toyota Yaris Hybrid Mid.yaml b/cal_and_val/f3-vehicles/2022 Toyota Yaris Hybrid Mid.yaml index 5f6c0548f..7ba710c6d 100644 --- a/cal_and_val/f3-vehicles/2022 Toyota Yaris Hybrid Mid.yaml +++ b/cal_and_val/f3-vehicles/2022 Toyota Yaris Hybrid Mid.yaml @@ -35,27 +35,6 @@ pt_type: energy_aux_joules: 0.0 energy_loss_joules: 0.0 energy_out_chemical_joules: 0.0 - history: - pwr_prop_max_watts: [] - pwr_regen_max_watts: [] - pwr_disch_max_watts: [] - pwr_charge_max_watts: [] - i: [] - soc: [] - soc_regen_buffer: [] - soc_disch_buffer: [] - eff: [] - soh: [] - pwr_out_electrical_watts: [] - pwr_out_prop_watts: [] - pwr_aux_watts: [] - pwr_loss_watts: [] - pwr_out_chemical_watts: [] - energy_out_electrical_joules: [] - energy_out_prop_joules: [] - energy_aux_joules: [] - energy_loss_joules: [] - energy_out_chemical_joules: [] save_interval: 1 fs: pwr_out_max_watts: 2000000.0 @@ -124,21 +103,6 @@ pt_type: energy_loss_joules: 0.0 fc_on: false time_on_seconds: 0.0 - history: - i: [] - pwr_out_max_watts: [] - pwr_prop_max_watts: [] - eff: [] - pwr_prop_watts: [] - energy_prop_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_fuel_watts: [] - energy_fuel_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] - fc_on: [] - time_on_seconds: [] save_interval: 1 em: eff_interp_achieved: @@ -236,25 +200,6 @@ pt_type: energy_elec_dyn_brake_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - eff: [] - pwr_mech_fwd_out_max_watts: [] - eff_fwd_at_max_input: [] - pwr_mech_regen_max_watts: [] - eff_at_max_regen: [] - pwr_out_req_watts: [] - energy_out_req_joules: [] - pwr_elec_prop_in_watts: [] - energy_elec_prop_in_joules: [] - pwr_mech_prop_out_watts: [] - energy_mech_prop_out_joules: [] - pwr_mech_dyn_brake_watts: [] - energy_mech_dyn_brake_joules: [] - pwr_elec_dyn_brake_watts: [] - energy_elec_dyn_brake_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] transmission: mass_kilograms: ~ eff_interp: 0.97 @@ -269,17 +214,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 pt_cntrl: RGWDB: @@ -306,16 +240,6 @@ pt_type: aux_power_demand: false charging_for_low_soc: false soc_fc_on_buffer: 0.0 - history: - i: [] - fc_temperature_too_low: [] - vehicle_speed_too_high: [] - on_time_too_short: [] - propulsion_power_demand: [] - propulsion_power_demand_soft: [] - aux_power_demand: [] - charging_for_low_soc: [] - soc_fc_on_buffer: [] aux_cntrl: AuxOnResPriority mass_kilograms: ~ sim_params: @@ -350,6 +274,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -376,33 +301,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/2022 Volvo XC40 Recharge twin.yaml b/cal_and_val/f3-vehicles/2022 Volvo XC40 Recharge twin.yaml index bff4c86d1..515597425 100644 --- a/cal_and_val/f3-vehicles/2022 Volvo XC40 Recharge twin.yaml +++ b/cal_and_val/f3-vehicles/2022 Volvo XC40 Recharge twin.yaml @@ -35,27 +35,6 @@ pt_type: energy_aux_joules: 0.0 energy_loss_joules: 0.0 energy_out_chemical_joules: 0.0 - history: - pwr_prop_max_watts: [] - pwr_regen_max_watts: [] - pwr_disch_max_watts: [] - pwr_charge_max_watts: [] - i: [] - soc: [] - soc_regen_buffer: [] - soc_disch_buffer: [] - eff: [] - soh: [] - pwr_out_electrical_watts: [] - pwr_out_prop_watts: [] - pwr_aux_watts: [] - pwr_loss_watts: [] - pwr_out_chemical_watts: [] - energy_out_electrical_joules: [] - energy_out_prop_joules: [] - energy_aux_joules: [] - energy_loss_joules: [] - energy_out_chemical_joules: [] save_interval: 1 em: eff_interp_achieved: @@ -153,25 +132,6 @@ pt_type: energy_elec_dyn_brake_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - eff: [] - pwr_mech_fwd_out_max_watts: [] - eff_fwd_at_max_input: [] - pwr_mech_regen_max_watts: [] - eff_at_max_regen: [] - pwr_out_req_watts: [] - energy_out_req_joules: [] - pwr_elec_prop_in_watts: [] - energy_elec_prop_in_joules: [] - pwr_mech_prop_out_watts: [] - energy_mech_prop_out_joules: [] - pwr_mech_dyn_brake_watts: [] - energy_mech_dyn_brake_joules: [] - pwr_elec_dyn_brake_watts: [] - energy_elec_dyn_brake_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] transmission: mass_kilograms: ~ eff_interp: 0.98 @@ -186,17 +146,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 mass_kilograms: ~ chassis: @@ -209,8 +158,8 @@ chassis: tire_code: ~ cg_height_meters: 0.53 wheel_fric_coef: 0.8 - drive_type: AWD - drive_axle_weight_frac: 1.0 + drive_type: FWD + drive_axle_weight_frac: 0.61 wheel_base_meters: 2.702 mass_kilograms: ~ glider_mass_kilograms: ~ @@ -224,6 +173,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -250,33 +200,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/2023 Mitsubishi Pajero Sport.yaml b/cal_and_val/f3-vehicles/2023 Mitsubishi Pajero Sport.yaml index df757203d..4156edb1b 100644 --- a/cal_and_val/f3-vehicles/2023 Mitsubishi Pajero Sport.yaml +++ b/cal_and_val/f3-vehicles/2023 Mitsubishi Pajero Sport.yaml @@ -71,21 +71,6 @@ pt_type: energy_loss_joules: 0.0 fc_on: false time_on_seconds: 0.0 - history: - i: [] - pwr_out_max_watts: [] - pwr_prop_max_watts: [] - eff: [] - pwr_prop_watts: [] - energy_prop_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_fuel_watts: [] - energy_fuel_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] - fc_on: [] - time_on_seconds: [] save_interval: 1 transmission: mass_kilograms: ~ @@ -101,17 +86,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 pt_cntrl: Normal dfco_cntrl: @@ -122,9 +96,6 @@ pt_type: state: i: 0 vehicle_dynamics_prevent_dfco: false - history: - i: [] - vehicle_dynamics_prevent_dfco: [] mass_kilograms: ~ alt_eff: 1.0 chassis: @@ -152,6 +123,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -178,33 +150,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/2023 Polestar 2 Long range Dual motor.yaml b/cal_and_val/f3-vehicles/2023 Polestar 2 Long range Dual motor.yaml index ca4b2f727..145a21981 100644 --- a/cal_and_val/f3-vehicles/2023 Polestar 2 Long range Dual motor.yaml +++ b/cal_and_val/f3-vehicles/2023 Polestar 2 Long range Dual motor.yaml @@ -35,27 +35,6 @@ pt_type: energy_aux_joules: 0.0 energy_loss_joules: 0.0 energy_out_chemical_joules: 0.0 - history: - pwr_prop_max_watts: [] - pwr_regen_max_watts: [] - pwr_disch_max_watts: [] - pwr_charge_max_watts: [] - i: [] - soc: [] - soc_regen_buffer: [] - soc_disch_buffer: [] - eff: [] - soh: [] - pwr_out_electrical_watts: [] - pwr_out_prop_watts: [] - pwr_aux_watts: [] - pwr_loss_watts: [] - pwr_out_chemical_watts: [] - energy_out_electrical_joules: [] - energy_out_prop_joules: [] - energy_aux_joules: [] - energy_loss_joules: [] - energy_out_chemical_joules: [] save_interval: 1 em: eff_interp_achieved: @@ -153,25 +132,6 @@ pt_type: energy_elec_dyn_brake_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - eff: [] - pwr_mech_fwd_out_max_watts: [] - eff_fwd_at_max_input: [] - pwr_mech_regen_max_watts: [] - eff_at_max_regen: [] - pwr_out_req_watts: [] - energy_out_req_joules: [] - pwr_elec_prop_in_watts: [] - energy_elec_prop_in_joules: [] - pwr_mech_prop_out_watts: [] - energy_mech_prop_out_joules: [] - pwr_mech_dyn_brake_watts: [] - energy_mech_dyn_brake_joules: [] - pwr_elec_dyn_brake_watts: [] - energy_elec_dyn_brake_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] transmission: mass_kilograms: ~ eff_interp: 0.98 @@ -186,17 +146,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 mass_kilograms: ~ chassis: @@ -209,8 +158,8 @@ chassis: tire_code: ~ cg_height_meters: 0.53 wheel_fric_coef: 0.8 - drive_type: AWD - drive_axle_weight_frac: 1.0 + drive_type: FWD + drive_axle_weight_frac: 0.61 wheel_base_meters: 2.73558 mass_kilograms: ~ glider_mass_kilograms: ~ @@ -224,6 +173,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -250,33 +200,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/2023 Volvo C40 Recharge.yaml b/cal_and_val/f3-vehicles/2023 Volvo C40 Recharge.yaml index dfb6c25fb..dce433cf8 100644 --- a/cal_and_val/f3-vehicles/2023 Volvo C40 Recharge.yaml +++ b/cal_and_val/f3-vehicles/2023 Volvo C40 Recharge.yaml @@ -35,27 +35,6 @@ pt_type: energy_aux_joules: 0.0 energy_loss_joules: 0.0 energy_out_chemical_joules: 0.0 - history: - pwr_prop_max_watts: [] - pwr_regen_max_watts: [] - pwr_disch_max_watts: [] - pwr_charge_max_watts: [] - i: [] - soc: [] - soc_regen_buffer: [] - soc_disch_buffer: [] - eff: [] - soh: [] - pwr_out_electrical_watts: [] - pwr_out_prop_watts: [] - pwr_aux_watts: [] - pwr_loss_watts: [] - pwr_out_chemical_watts: [] - energy_out_electrical_joules: [] - energy_out_prop_joules: [] - energy_aux_joules: [] - energy_loss_joules: [] - energy_out_chemical_joules: [] save_interval: 1 em: eff_interp_achieved: @@ -153,25 +132,6 @@ pt_type: energy_elec_dyn_brake_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - eff: [] - pwr_mech_fwd_out_max_watts: [] - eff_fwd_at_max_input: [] - pwr_mech_regen_max_watts: [] - eff_at_max_regen: [] - pwr_out_req_watts: [] - energy_out_req_joules: [] - pwr_elec_prop_in_watts: [] - energy_elec_prop_in_joules: [] - pwr_mech_prop_out_watts: [] - energy_mech_prop_out_joules: [] - pwr_mech_dyn_brake_watts: [] - energy_mech_dyn_brake_joules: [] - pwr_elec_dyn_brake_watts: [] - energy_elec_dyn_brake_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] transmission: mass_kilograms: ~ eff_interp: 0.98 @@ -186,17 +146,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 mass_kilograms: ~ chassis: @@ -208,9 +157,9 @@ chassis: wheel_radius_meters: 0.356 tire_code: ~ cg_height_meters: 0.53 - wheel_fric_coef: 0.7 - drive_type: AWD - drive_axle_weight_frac: 1.0 + wheel_fric_coef: 0.8 + drive_type: FWD + drive_axle_weight_frac: 0.61 wheel_base_meters: 2.702 mass_kilograms: ~ glider_mass_kilograms: ~ @@ -224,6 +173,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -250,33 +200,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/2024 BYD Dolphin Active.yaml b/cal_and_val/f3-vehicles/2024 BYD Dolphin Active.yaml index 12d012d50..172aa3c8a 100644 --- a/cal_and_val/f3-vehicles/2024 BYD Dolphin Active.yaml +++ b/cal_and_val/f3-vehicles/2024 BYD Dolphin Active.yaml @@ -35,27 +35,6 @@ pt_type: energy_aux_joules: 0.0 energy_loss_joules: 0.0 energy_out_chemical_joules: 0.0 - history: - pwr_prop_max_watts: [] - pwr_regen_max_watts: [] - pwr_disch_max_watts: [] - pwr_charge_max_watts: [] - i: [] - soc: [] - soc_regen_buffer: [] - soc_disch_buffer: [] - eff: [] - soh: [] - pwr_out_electrical_watts: [] - pwr_out_prop_watts: [] - pwr_aux_watts: [] - pwr_loss_watts: [] - pwr_out_chemical_watts: [] - energy_out_electrical_joules: [] - energy_out_prop_joules: [] - energy_aux_joules: [] - energy_loss_joules: [] - energy_out_chemical_joules: [] save_interval: 1 em: eff_interp_achieved: @@ -153,25 +132,6 @@ pt_type: energy_elec_dyn_brake_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - eff: [] - pwr_mech_fwd_out_max_watts: [] - eff_fwd_at_max_input: [] - pwr_mech_regen_max_watts: [] - eff_at_max_regen: [] - pwr_out_req_watts: [] - energy_out_req_joules: [] - pwr_elec_prop_in_watts: [] - energy_elec_prop_in_joules: [] - pwr_mech_prop_out_watts: [] - energy_mech_prop_out_joules: [] - pwr_mech_dyn_brake_watts: [] - energy_mech_dyn_brake_joules: [] - pwr_elec_dyn_brake_watts: [] - energy_elec_dyn_brake_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] transmission: mass_kilograms: ~ eff_interp: 0.98 @@ -186,17 +146,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 mass_kilograms: ~ chassis: @@ -224,6 +173,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -250,33 +200,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/2024 Toyota Vios 1.5 G.yaml b/cal_and_val/f3-vehicles/2024 Toyota Vios 1.5 G.yaml index 3de694141..f9afb99b2 100644 --- a/cal_and_val/f3-vehicles/2024 Toyota Vios 1.5 G.yaml +++ b/cal_and_val/f3-vehicles/2024 Toyota Vios 1.5 G.yaml @@ -71,21 +71,6 @@ pt_type: energy_loss_joules: 0.0 fc_on: false time_on_seconds: 0.0 - history: - i: [] - pwr_out_max_watts: [] - pwr_prop_max_watts: [] - eff: [] - pwr_prop_watts: [] - energy_prop_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_fuel_watts: [] - energy_fuel_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] - fc_on: [] - time_on_seconds: [] save_interval: 1 transmission: mass_kilograms: ~ @@ -101,17 +86,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 pt_cntrl: Normal dfco_cntrl: @@ -122,9 +96,6 @@ pt_type: state: i: 0 vehicle_dynamics_prevent_dfco: false - history: - i: [] - vehicle_dynamics_prevent_dfco: [] mass_kilograms: ~ alt_eff: 1.0 chassis: @@ -152,6 +123,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -178,33 +150,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/2024 VinFast VF e34.yaml b/cal_and_val/f3-vehicles/2024 VinFast VF e34.yaml index 8245547d9..ad5ccf92c 100644 --- a/cal_and_val/f3-vehicles/2024 VinFast VF e34.yaml +++ b/cal_and_val/f3-vehicles/2024 VinFast VF e34.yaml @@ -35,27 +35,6 @@ pt_type: energy_aux_joules: 0.0 energy_loss_joules: 0.0 energy_out_chemical_joules: 0.0 - history: - pwr_prop_max_watts: [] - pwr_regen_max_watts: [] - pwr_disch_max_watts: [] - pwr_charge_max_watts: [] - i: [] - soc: [] - soc_regen_buffer: [] - soc_disch_buffer: [] - eff: [] - soh: [] - pwr_out_electrical_watts: [] - pwr_out_prop_watts: [] - pwr_aux_watts: [] - pwr_loss_watts: [] - pwr_out_chemical_watts: [] - energy_out_electrical_joules: [] - energy_out_prop_joules: [] - energy_aux_joules: [] - energy_loss_joules: [] - energy_out_chemical_joules: [] save_interval: 1 em: eff_interp_achieved: @@ -153,25 +132,6 @@ pt_type: energy_elec_dyn_brake_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - eff: [] - pwr_mech_fwd_out_max_watts: [] - eff_fwd_at_max_input: [] - pwr_mech_regen_max_watts: [] - eff_at_max_regen: [] - pwr_out_req_watts: [] - energy_out_req_joules: [] - pwr_elec_prop_in_watts: [] - energy_elec_prop_in_joules: [] - pwr_mech_prop_out_watts: [] - energy_mech_prop_out_joules: [] - pwr_mech_dyn_brake_watts: [] - energy_mech_dyn_brake_joules: [] - pwr_elec_dyn_brake_watts: [] - energy_elec_dyn_brake_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] transmission: mass_kilograms: ~ eff_interp: 0.98 @@ -186,17 +146,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 mass_kilograms: ~ chassis: @@ -224,6 +173,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -250,33 +200,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/2024 Volkswagen Polo 1.0 MPI.yaml b/cal_and_val/f3-vehicles/2024 Volkswagen Polo 1.0 MPI.yaml index 280ede589..4146d3b5c 100644 --- a/cal_and_val/f3-vehicles/2024 Volkswagen Polo 1.0 MPI.yaml +++ b/cal_and_val/f3-vehicles/2024 Volkswagen Polo 1.0 MPI.yaml @@ -71,21 +71,6 @@ pt_type: energy_loss_joules: 0.0 fc_on: false time_on_seconds: 0.0 - history: - i: [] - pwr_out_max_watts: [] - pwr_prop_max_watts: [] - eff: [] - pwr_prop_watts: [] - energy_prop_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_fuel_watts: [] - energy_fuel_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] - fc_on: [] - time_on_seconds: [] save_interval: 1 transmission: mass_kilograms: ~ @@ -101,17 +86,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 pt_cntrl: Normal dfco_cntrl: @@ -122,9 +96,6 @@ pt_type: state: i: 0 vehicle_dynamics_prevent_dfco: false - history: - i: [] - vehicle_dynamics_prevent_dfco: [] mass_kilograms: ~ alt_eff: 1.0 chassis: @@ -152,6 +123,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -178,33 +150,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/BYD ATTO 3.yaml b/cal_and_val/f3-vehicles/BYD ATTO 3.yaml index fc65ec94f..126d21c99 100644 --- a/cal_and_val/f3-vehicles/BYD ATTO 3.yaml +++ b/cal_and_val/f3-vehicles/BYD ATTO 3.yaml @@ -35,27 +35,6 @@ pt_type: energy_aux_joules: 0.0 energy_loss_joules: 0.0 energy_out_chemical_joules: 0.0 - history: - pwr_prop_max_watts: [] - pwr_regen_max_watts: [] - pwr_disch_max_watts: [] - pwr_charge_max_watts: [] - i: [] - soc: [] - soc_regen_buffer: [] - soc_disch_buffer: [] - eff: [] - soh: [] - pwr_out_electrical_watts: [] - pwr_out_prop_watts: [] - pwr_aux_watts: [] - pwr_loss_watts: [] - pwr_out_chemical_watts: [] - energy_out_electrical_joules: [] - energy_out_prop_joules: [] - energy_aux_joules: [] - energy_loss_joules: [] - energy_out_chemical_joules: [] save_interval: 1 em: eff_interp_achieved: @@ -153,25 +132,6 @@ pt_type: energy_elec_dyn_brake_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - eff: [] - pwr_mech_fwd_out_max_watts: [] - eff_fwd_at_max_input: [] - pwr_mech_regen_max_watts: [] - eff_at_max_regen: [] - pwr_out_req_watts: [] - energy_out_req_joules: [] - pwr_elec_prop_in_watts: [] - energy_elec_prop_in_joules: [] - pwr_mech_prop_out_watts: [] - energy_mech_prop_out_joules: [] - pwr_mech_dyn_brake_watts: [] - energy_mech_dyn_brake_joules: [] - pwr_elec_dyn_brake_watts: [] - energy_elec_dyn_brake_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] transmission: mass_kilograms: ~ eff_interp: 0.95 @@ -186,17 +146,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 mass_kilograms: ~ chassis: @@ -224,6 +173,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -250,33 +200,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/Bajaj Boxer 150.yaml b/cal_and_val/f3-vehicles/Bajaj Boxer 150.yaml index 4300dea5d..e7dbd73c7 100644 --- a/cal_and_val/f3-vehicles/Bajaj Boxer 150.yaml +++ b/cal_and_val/f3-vehicles/Bajaj Boxer 150.yaml @@ -71,21 +71,6 @@ pt_type: energy_loss_joules: 0.0 fc_on: false time_on_seconds: 0.0 - history: - i: [] - pwr_out_max_watts: [] - pwr_prop_max_watts: [] - eff: [] - pwr_prop_watts: [] - energy_prop_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_fuel_watts: [] - energy_fuel_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] - fc_on: [] - time_on_seconds: [] save_interval: 1 transmission: mass_kilograms: ~ @@ -101,17 +86,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 pt_cntrl: Normal dfco_cntrl: @@ -122,9 +96,6 @@ pt_type: state: i: 0 vehicle_dynamics_prevent_dfco: false - history: - i: [] - vehicle_dynamics_prevent_dfco: [] mass_kilograms: ~ alt_eff: 1.0 chassis: @@ -152,6 +123,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -178,33 +150,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/Class 4 Truck (Isuzu NPR HD).yaml b/cal_and_val/f3-vehicles/Class 4 Truck (Isuzu NPR HD).yaml index 7045362f6..22fb98d76 100644 --- a/cal_and_val/f3-vehicles/Class 4 Truck (Isuzu NPR HD).yaml +++ b/cal_and_val/f3-vehicles/Class 4 Truck (Isuzu NPR HD).yaml @@ -71,21 +71,6 @@ pt_type: energy_loss_joules: 0.0 fc_on: false time_on_seconds: 0.0 - history: - i: [] - pwr_out_max_watts: [] - pwr_prop_max_watts: [] - eff: [] - pwr_prop_watts: [] - energy_prop_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_fuel_watts: [] - energy_fuel_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] - fc_on: [] - time_on_seconds: [] save_interval: 1 transmission: mass_kilograms: ~ @@ -101,17 +86,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 pt_cntrl: Normal dfco_cntrl: @@ -122,9 +96,6 @@ pt_type: state: i: 0 vehicle_dynamics_prevent_dfco: false - history: - i: [] - vehicle_dynamics_prevent_dfco: [] mass_kilograms: ~ alt_eff: 1.0 chassis: @@ -152,6 +123,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -178,33 +150,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/Line Haul Conv.yaml b/cal_and_val/f3-vehicles/Line Haul Conv.yaml index 6e7765c0b..08aa936d4 100644 --- a/cal_and_val/f3-vehicles/Line Haul Conv.yaml +++ b/cal_and_val/f3-vehicles/Line Haul Conv.yaml @@ -71,21 +71,6 @@ pt_type: energy_loss_joules: 0.0 fc_on: false time_on_seconds: 0.0 - history: - i: [] - pwr_out_max_watts: [] - pwr_prop_max_watts: [] - eff: [] - pwr_prop_watts: [] - energy_prop_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_fuel_watts: [] - energy_fuel_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] - fc_on: [] - time_on_seconds: [] save_interval: 1 transmission: mass_kilograms: ~ @@ -101,17 +86,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 pt_cntrl: Normal dfco_cntrl: @@ -122,9 +96,6 @@ pt_type: state: i: 0 vehicle_dynamics_prevent_dfco: false - history: - i: [] - vehicle_dynamics_prevent_dfco: [] mass_kilograms: ~ alt_eff: 1.0 chassis: @@ -152,6 +123,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -178,33 +150,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/Maruti Swift 4cyl 2WD.yaml b/cal_and_val/f3-vehicles/Maruti Swift 4cyl 2WD.yaml index a9d3b91f5..0b35f9a22 100644 --- a/cal_and_val/f3-vehicles/Maruti Swift 4cyl 2WD.yaml +++ b/cal_and_val/f3-vehicles/Maruti Swift 4cyl 2WD.yaml @@ -71,21 +71,6 @@ pt_type: energy_loss_joules: 0.0 fc_on: false time_on_seconds: 0.0 - history: - i: [] - pwr_out_max_watts: [] - pwr_prop_max_watts: [] - eff: [] - pwr_prop_watts: [] - energy_prop_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_fuel_watts: [] - energy_fuel_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] - fc_on: [] - time_on_seconds: [] save_interval: 1 transmission: mass_kilograms: ~ @@ -101,17 +86,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 pt_cntrl: Normal dfco_cntrl: @@ -122,9 +96,6 @@ pt_type: state: i: 0 vehicle_dynamics_prevent_dfco: false - history: - i: [] - vehicle_dynamics_prevent_dfco: [] mass_kilograms: ~ alt_eff: 1.0 chassis: @@ -152,6 +123,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -178,33 +150,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/Nissan Navara.yaml b/cal_and_val/f3-vehicles/Nissan Navara.yaml index 46e680d44..1820ea144 100644 --- a/cal_and_val/f3-vehicles/Nissan Navara.yaml +++ b/cal_and_val/f3-vehicles/Nissan Navara.yaml @@ -71,21 +71,6 @@ pt_type: energy_loss_joules: 0.0 fc_on: false time_on_seconds: 0.0 - history: - i: [] - pwr_out_max_watts: [] - pwr_prop_max_watts: [] - eff: [] - pwr_prop_watts: [] - energy_prop_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_fuel_watts: [] - energy_fuel_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] - fc_on: [] - time_on_seconds: [] save_interval: 1 transmission: mass_kilograms: ~ @@ -101,17 +86,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 pt_cntrl: Normal dfco_cntrl: @@ -122,9 +96,6 @@ pt_type: state: i: 0 vehicle_dynamics_prevent_dfco: false - history: - i: [] - vehicle_dynamics_prevent_dfco: [] mass_kilograms: ~ alt_eff: 1.0 chassis: @@ -152,6 +123,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -178,33 +150,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/Regional Delivery Class 8 Truck.yaml b/cal_and_val/f3-vehicles/Regional Delivery Class 8 Truck.yaml index abaf71fbe..c3bd1d81f 100644 --- a/cal_and_val/f3-vehicles/Regional Delivery Class 8 Truck.yaml +++ b/cal_and_val/f3-vehicles/Regional Delivery Class 8 Truck.yaml @@ -71,21 +71,6 @@ pt_type: energy_loss_joules: 0.0 fc_on: false time_on_seconds: 0.0 - history: - i: [] - pwr_out_max_watts: [] - pwr_prop_max_watts: [] - eff: [] - pwr_prop_watts: [] - energy_prop_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_fuel_watts: [] - energy_fuel_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] - fc_on: [] - time_on_seconds: [] save_interval: 1 transmission: mass_kilograms: ~ @@ -101,17 +86,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 pt_cntrl: Normal dfco_cntrl: @@ -122,9 +96,6 @@ pt_type: state: i: 0 vehicle_dynamics_prevent_dfco: false - history: - i: [] - vehicle_dynamics_prevent_dfco: [] mass_kilograms: ~ alt_eff: 1.0 chassis: @@ -152,6 +123,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -178,33 +150,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/Renault Clio IV diesel.yaml b/cal_and_val/f3-vehicles/Renault Clio IV diesel.yaml index 4432ef183..3d6306a9b 100644 --- a/cal_and_val/f3-vehicles/Renault Clio IV diesel.yaml +++ b/cal_and_val/f3-vehicles/Renault Clio IV diesel.yaml @@ -71,21 +71,6 @@ pt_type: energy_loss_joules: 0.0 fc_on: false time_on_seconds: 0.0 - history: - i: [] - pwr_out_max_watts: [] - pwr_prop_max_watts: [] - eff: [] - pwr_prop_watts: [] - energy_prop_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_fuel_watts: [] - energy_fuel_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] - fc_on: [] - time_on_seconds: [] save_interval: 1 transmission: mass_kilograms: ~ @@ -101,17 +86,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 pt_cntrl: Normal dfco_cntrl: @@ -122,9 +96,6 @@ pt_type: state: i: 0 vehicle_dynamics_prevent_dfco: false - history: - i: [] - vehicle_dynamics_prevent_dfco: [] mass_kilograms: ~ alt_eff: 1.0 chassis: @@ -152,6 +123,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -178,33 +150,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/Renault Megane 1.5 dCi Authentique.yaml b/cal_and_val/f3-vehicles/Renault Megane 1.5 dCi Authentique.yaml index 5769d1803..7578d8360 100644 --- a/cal_and_val/f3-vehicles/Renault Megane 1.5 dCi Authentique.yaml +++ b/cal_and_val/f3-vehicles/Renault Megane 1.5 dCi Authentique.yaml @@ -71,21 +71,6 @@ pt_type: energy_loss_joules: 0.0 fc_on: false time_on_seconds: 0.0 - history: - i: [] - pwr_out_max_watts: [] - pwr_prop_max_watts: [] - eff: [] - pwr_prop_watts: [] - energy_prop_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_fuel_watts: [] - energy_fuel_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] - fc_on: [] - time_on_seconds: [] save_interval: 1 transmission: mass_kilograms: ~ @@ -101,17 +86,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 pt_cntrl: Normal dfco_cntrl: @@ -122,9 +96,6 @@ pt_type: state: i: 0 vehicle_dynamics_prevent_dfco: false - history: - i: [] - vehicle_dynamics_prevent_dfco: [] mass_kilograms: ~ alt_eff: 1.0 chassis: @@ -152,6 +123,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -178,33 +150,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/Toyota Corolla Cross Hybrid.yaml b/cal_and_val/f3-vehicles/Toyota Corolla Cross Hybrid.yaml index d0b503fea..af5e4b725 100644 --- a/cal_and_val/f3-vehicles/Toyota Corolla Cross Hybrid.yaml +++ b/cal_and_val/f3-vehicles/Toyota Corolla Cross Hybrid.yaml @@ -35,27 +35,6 @@ pt_type: energy_aux_joules: 0.0 energy_loss_joules: 0.0 energy_out_chemical_joules: 0.0 - history: - pwr_prop_max_watts: [] - pwr_regen_max_watts: [] - pwr_disch_max_watts: [] - pwr_charge_max_watts: [] - i: [] - soc: [] - soc_regen_buffer: [] - soc_disch_buffer: [] - eff: [] - soh: [] - pwr_out_electrical_watts: [] - pwr_out_prop_watts: [] - pwr_aux_watts: [] - pwr_loss_watts: [] - pwr_out_chemical_watts: [] - energy_out_electrical_joules: [] - energy_out_prop_joules: [] - energy_aux_joules: [] - energy_loss_joules: [] - energy_out_chemical_joules: [] save_interval: 1 fs: pwr_out_max_watts: 2000000.0 @@ -124,21 +103,6 @@ pt_type: energy_loss_joules: 0.0 fc_on: false time_on_seconds: 0.0 - history: - i: [] - pwr_out_max_watts: [] - pwr_prop_max_watts: [] - eff: [] - pwr_prop_watts: [] - energy_prop_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_fuel_watts: [] - energy_fuel_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] - fc_on: [] - time_on_seconds: [] save_interval: 1 em: eff_interp_achieved: @@ -236,25 +200,6 @@ pt_type: energy_elec_dyn_brake_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - eff: [] - pwr_mech_fwd_out_max_watts: [] - eff_fwd_at_max_input: [] - pwr_mech_regen_max_watts: [] - eff_at_max_regen: [] - pwr_out_req_watts: [] - energy_out_req_joules: [] - pwr_elec_prop_in_watts: [] - energy_elec_prop_in_joules: [] - pwr_mech_prop_out_watts: [] - energy_mech_prop_out_joules: [] - pwr_mech_dyn_brake_watts: [] - energy_mech_dyn_brake_joules: [] - pwr_elec_dyn_brake_watts: [] - energy_elec_dyn_brake_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] transmission: mass_kilograms: ~ eff_interp: 0.97 @@ -269,17 +214,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 pt_cntrl: RGWDB: @@ -306,16 +240,6 @@ pt_type: aux_power_demand: false charging_for_low_soc: false soc_fc_on_buffer: 0.0 - history: - i: [] - fc_temperature_too_low: [] - vehicle_speed_too_high: [] - on_time_too_short: [] - propulsion_power_demand: [] - propulsion_power_demand_soft: [] - aux_power_demand: [] - charging_for_low_soc: [] - soc_fc_on_buffer: [] aux_cntrl: AuxOnResPriority mass_kilograms: ~ sim_params: @@ -350,6 +274,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -376,33 +301,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/Toyota Etios Liva diesel.yaml b/cal_and_val/f3-vehicles/Toyota Etios Liva diesel.yaml index 193bad54f..4d13e1753 100644 --- a/cal_and_val/f3-vehicles/Toyota Etios Liva diesel.yaml +++ b/cal_and_val/f3-vehicles/Toyota Etios Liva diesel.yaml @@ -71,21 +71,6 @@ pt_type: energy_loss_joules: 0.0 fc_on: false time_on_seconds: 0.0 - history: - i: [] - pwr_out_max_watts: [] - pwr_prop_max_watts: [] - eff: [] - pwr_prop_watts: [] - energy_prop_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_fuel_watts: [] - energy_fuel_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] - fc_on: [] - time_on_seconds: [] save_interval: 1 transmission: mass_kilograms: ~ @@ -101,17 +86,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 pt_cntrl: Normal dfco_cntrl: @@ -122,9 +96,6 @@ pt_type: state: i: 0 vehicle_dynamics_prevent_dfco: false - history: - i: [] - vehicle_dynamics_prevent_dfco: [] mass_kilograms: ~ alt_eff: 1.0 chassis: @@ -152,6 +123,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -178,33 +150,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/Toyota Hilux Double Cab 4WD.yaml b/cal_and_val/f3-vehicles/Toyota Hilux Double Cab 4WD.yaml index e3f1a273e..5dc2490aa 100644 --- a/cal_and_val/f3-vehicles/Toyota Hilux Double Cab 4WD.yaml +++ b/cal_and_val/f3-vehicles/Toyota Hilux Double Cab 4WD.yaml @@ -71,21 +71,6 @@ pt_type: energy_loss_joules: 0.0 fc_on: false time_on_seconds: 0.0 - history: - i: [] - pwr_out_max_watts: [] - pwr_prop_max_watts: [] - eff: [] - pwr_prop_watts: [] - energy_prop_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_fuel_watts: [] - energy_fuel_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] - fc_on: [] - time_on_seconds: [] save_interval: 1 transmission: mass_kilograms: ~ @@ -101,17 +86,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 pt_cntrl: Normal dfco_cntrl: @@ -122,9 +96,6 @@ pt_type: state: i: 0 vehicle_dynamics_prevent_dfco: false - history: - i: [] - vehicle_dynamics_prevent_dfco: [] mass_kilograms: ~ alt_eff: 1.0 chassis: @@ -152,6 +123,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -178,33 +150,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/cal_and_val/f3-vehicles/Toyota Mirai.yaml b/cal_and_val/f3-vehicles/Toyota Mirai.yaml index edccc27e3..29acf3678 100644 --- a/cal_and_val/f3-vehicles/Toyota Mirai.yaml +++ b/cal_and_val/f3-vehicles/Toyota Mirai.yaml @@ -35,27 +35,6 @@ pt_type: energy_aux_joules: 0.0 energy_loss_joules: 0.0 energy_out_chemical_joules: 0.0 - history: - pwr_prop_max_watts: [] - pwr_regen_max_watts: [] - pwr_disch_max_watts: [] - pwr_charge_max_watts: [] - i: [] - soc: [] - soc_regen_buffer: [] - soc_disch_buffer: [] - eff: [] - soh: [] - pwr_out_electrical_watts: [] - pwr_out_prop_watts: [] - pwr_aux_watts: [] - pwr_loss_watts: [] - pwr_out_chemical_watts: [] - energy_out_electrical_joules: [] - energy_out_prop_joules: [] - energy_aux_joules: [] - energy_loss_joules: [] - energy_out_chemical_joules: [] save_interval: 1 fs: pwr_out_max_watts: 1000000.0 @@ -124,21 +103,6 @@ pt_type: energy_loss_joules: 0.0 fc_on: false time_on_seconds: 0.0 - history: - i: [] - pwr_out_max_watts: [] - pwr_prop_max_watts: [] - eff: [] - pwr_prop_watts: [] - energy_prop_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_fuel_watts: [] - energy_fuel_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] - fc_on: [] - time_on_seconds: [] save_interval: 1 em: eff_interp_achieved: @@ -236,25 +200,6 @@ pt_type: energy_elec_dyn_brake_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - eff: [] - pwr_mech_fwd_out_max_watts: [] - eff_fwd_at_max_input: [] - pwr_mech_regen_max_watts: [] - eff_at_max_regen: [] - pwr_out_req_watts: [] - energy_out_req_joules: [] - pwr_elec_prop_in_watts: [] - energy_elec_prop_in_joules: [] - pwr_mech_prop_out_watts: [] - energy_mech_prop_out_joules: [] - pwr_mech_dyn_brake_watts: [] - energy_mech_dyn_brake_joules: [] - pwr_elec_dyn_brake_watts: [] - energy_elec_dyn_brake_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] transmission: mass_kilograms: ~ eff_interp: 0.98 @@ -269,17 +214,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 pt_cntrl: RGWDB: @@ -306,16 +240,6 @@ pt_type: aux_power_demand: false charging_for_low_soc: false soc_fc_on_buffer: 0.0 - history: - i: [] - fc_temperature_too_low: [] - vehicle_speed_too_high: [] - on_time_too_short: [] - propulsion_power_demand: [] - propulsion_power_demand_soft: [] - aux_power_demand: [] - charging_for_low_soc: [] - soc_fc_on_buffer: [] aux_cntrl: AuxOnResPriority mass_kilograms: ~ sim_params: @@ -350,6 +274,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -376,33 +301,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/fastsim-core/resources/vehicles/2012_Ford_Fusion.yaml b/fastsim-core/resources/vehicles/2012_Ford_Fusion.yaml index 5cd10c112..040f822ff 100644 --- a/fastsim-core/resources/vehicles/2012_Ford_Fusion.yaml +++ b/fastsim-core/resources/vehicles/2012_Ford_Fusion.yaml @@ -71,21 +71,6 @@ pt_type: energy_loss_joules: 0.0 fc_on: false time_on_seconds: 0.0 - history: - i: [] - pwr_out_max_watts: [] - pwr_prop_max_watts: [] - eff: [] - pwr_prop_watts: [] - energy_prop_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_fuel_watts: [] - energy_fuel_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] - fc_on: [] - time_on_seconds: [] save_interval: 1 transmission: mass_kilograms: ~ @@ -101,17 +86,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 pt_cntrl: Normal dfco_cntrl: @@ -122,9 +96,6 @@ pt_type: state: i: 0 vehicle_dynamics_prevent_dfco: false - history: - i: [] - vehicle_dynamics_prevent_dfco: [] mass_kilograms: ~ alt_eff: 1.0 chassis: @@ -152,6 +123,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -178,33 +150,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/fastsim-core/resources/vehicles/2016_TOYOTA_Prius_Two.yaml b/fastsim-core/resources/vehicles/2016_TOYOTA_Prius_Two.yaml index 4eba24bd2..083cfb315 100755 --- a/fastsim-core/resources/vehicles/2016_TOYOTA_Prius_Two.yaml +++ b/fastsim-core/resources/vehicles/2016_TOYOTA_Prius_Two.yaml @@ -35,27 +35,6 @@ pt_type: energy_aux_joules: 0.0 energy_loss_joules: 0.0 energy_out_chemical_joules: 0.0 - history: - pwr_prop_max_watts: [] - pwr_regen_max_watts: [] - pwr_disch_max_watts: [] - pwr_charge_max_watts: [] - i: [] - soc: [] - soc_regen_buffer: [] - soc_disch_buffer: [] - eff: [] - soh: [] - pwr_out_electrical_watts: [] - pwr_out_prop_watts: [] - pwr_aux_watts: [] - pwr_loss_watts: [] - pwr_out_chemical_watts: [] - energy_out_electrical_joules: [] - energy_out_prop_joules: [] - energy_aux_joules: [] - energy_loss_joules: [] - energy_out_chemical_joules: [] save_interval: 1 fs: pwr_out_max_watts: 2000000.0 @@ -124,21 +103,6 @@ pt_type: energy_loss_joules: 0.0 fc_on: false time_on_seconds: 0.0 - history: - i: [] - pwr_out_max_watts: [] - pwr_prop_max_watts: [] - eff: [] - pwr_prop_watts: [] - energy_prop_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_fuel_watts: [] - energy_fuel_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] - fc_on: [] - time_on_seconds: [] save_interval: 1 em: eff_interp_achieved: @@ -236,25 +200,6 @@ pt_type: energy_elec_dyn_brake_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - eff: [] - pwr_mech_fwd_out_max_watts: [] - eff_fwd_at_max_input: [] - pwr_mech_regen_max_watts: [] - eff_at_max_regen: [] - pwr_out_req_watts: [] - energy_out_req_joules: [] - pwr_elec_prop_in_watts: [] - energy_elec_prop_in_joules: [] - pwr_mech_prop_out_watts: [] - energy_mech_prop_out_joules: [] - pwr_mech_dyn_brake_watts: [] - energy_mech_dyn_brake_joules: [] - pwr_elec_dyn_brake_watts: [] - energy_elec_dyn_brake_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] transmission: mass_kilograms: ~ eff_interp: 0.98 @@ -269,17 +214,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 pt_cntrl: RGWDB: @@ -306,16 +240,6 @@ pt_type: aux_power_demand: false charging_for_low_soc: false soc_fc_on_buffer: 0.0 - history: - i: [] - fc_temperature_too_low: [] - vehicle_speed_too_high: [] - on_time_too_short: [] - propulsion_power_demand: [] - propulsion_power_demand_soft: [] - aux_power_demand: [] - charging_for_low_soc: [] - soc_fc_on_buffer: [] aux_cntrl: AuxOnResPriority mass_kilograms: ~ sim_params: @@ -350,6 +274,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -376,33 +301,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/fastsim-core/resources/vehicles/2022_Renault_Zoe_ZE50_R135.yaml b/fastsim-core/resources/vehicles/2022_Renault_Zoe_ZE50_R135.yaml index d638d5f0d..8a1891e34 100644 --- a/fastsim-core/resources/vehicles/2022_Renault_Zoe_ZE50_R135.yaml +++ b/fastsim-core/resources/vehicles/2022_Renault_Zoe_ZE50_R135.yaml @@ -35,27 +35,6 @@ pt_type: energy_aux_joules: 0.0 energy_loss_joules: 0.0 energy_out_chemical_joules: 0.0 - history: - pwr_prop_max_watts: [] - pwr_regen_max_watts: [] - pwr_disch_max_watts: [] - pwr_charge_max_watts: [] - i: [] - soc: [] - soc_regen_buffer: [] - soc_disch_buffer: [] - eff: [] - soh: [] - pwr_out_electrical_watts: [] - pwr_out_prop_watts: [] - pwr_aux_watts: [] - pwr_loss_watts: [] - pwr_out_chemical_watts: [] - energy_out_electrical_joules: [] - energy_out_prop_joules: [] - energy_aux_joules: [] - energy_loss_joules: [] - energy_out_chemical_joules: [] save_interval: 1 em: eff_interp_achieved: @@ -153,25 +132,6 @@ pt_type: energy_elec_dyn_brake_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - eff: [] - pwr_mech_fwd_out_max_watts: [] - eff_fwd_at_max_input: [] - pwr_mech_regen_max_watts: [] - eff_at_max_regen: [] - pwr_out_req_watts: [] - energy_out_req_joules: [] - pwr_elec_prop_in_watts: [] - energy_elec_prop_in_joules: [] - pwr_mech_prop_out_watts: [] - energy_mech_prop_out_joules: [] - pwr_mech_dyn_brake_watts: [] - energy_mech_dyn_brake_joules: [] - pwr_elec_dyn_brake_watts: [] - energy_elec_dyn_brake_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] transmission: mass_kilograms: ~ eff_interp: 0.92 @@ -186,17 +146,6 @@ pt_type: energy_in_joules: 0.0 pwr_loss_watts: 0.0 energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] save_interval: 1 mass_kilograms: ~ chassis: @@ -224,6 +173,7 @@ state: i: 0 time_seconds: 0.0 pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 pwr_prop_bwd_max_watts: 0.0 pwr_tractive_watts: 0.0 pwr_tractive_for_cyc_watts: 0.0 @@ -250,33 +200,3 @@ state: elev_curr_meters: 0.0 air_density_kilograms_per_cubic_meter: 0.0 mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] diff --git a/fastsim-core/src/vehicle/cabin.rs b/fastsim-core/src/vehicle/cabin.rs index a8c0b7144..3e671f4e3 100644 --- a/fastsim-core/src/vehicle/cabin.rs +++ b/fastsim-core/src/vehicle/cabin.rs @@ -169,7 +169,7 @@ pub struct LumpedCabin { pub width: si::Length, #[serde(default)] pub state: LumpedCabinState, - #[serde(default)] + #[serde(default, skip_serializing_if = "LumpedCabinStateHistoryVec::is_empty")] pub history: LumpedCabinStateHistoryVec, /// Time step interval at which history is saved pub save_interval: Option, diff --git a/fastsim-core/src/vehicle/conv.rs b/fastsim-core/src/vehicle/conv.rs index c3f87f87c..18349f61d 100644 --- a/fastsim-core/src/vehicle/conv.rs +++ b/fastsim-core/src/vehicle/conv.rs @@ -26,6 +26,7 @@ pub struct DfcoControls { #[serde(default)] pub state: DfcoState, /// history of current state + #[serde(default, skip_serializing_if = "DfcoStateHistoryVec::is_empty")] pub history: DfcoStateHistoryVec, } @@ -585,6 +586,10 @@ pub struct ConvStopStartControl { #[serde(default)] pub state: ConvStopStartState, /// history of current state + #[serde( + default, + skip_serializing_if = "ConvStopStartStateHistoryVec::is_empty" + )] pub history: ConvStopStartStateHistoryVec, } diff --git a/fastsim-core/src/vehicle/hev.rs b/fastsim-core/src/vehicle/hev.rs index 2bdcefb15..253299a09 100644 --- a/fastsim-core/src/vehicle/hev.rs +++ b/fastsim-core/src/vehicle/hev.rs @@ -946,8 +946,8 @@ pub struct RESGreedyWithDynamicBuffers { /// current state of control variables #[serde(default)] pub state: RGWDBState, - #[serde(default)] /// history of current state + #[serde(default, skip_serializing_if = "RGWDBStateHistoryVec::is_empty")] pub history: RGWDBStateHistoryVec, } @@ -1337,6 +1337,7 @@ pub struct HEVStopStartControl { #[serde(default)] pub state: StopStartState, /// history of current state + #[serde(default, skip_serializing_if = "StopStartStateHistoryVec::is_empty")] pub history: StopStartStateHistoryVec, } diff --git a/fastsim-core/src/vehicle/hvac/hvac_sys_for_lumped_cabin.rs b/fastsim-core/src/vehicle/hvac/hvac_sys_for_lumped_cabin.rs index fb5f78f32..73c4e98b7 100644 --- a/fastsim-core/src/vehicle/hvac/hvac_sys_for_lumped_cabin.rs +++ b/fastsim-core/src/vehicle/hvac/hvac_sys_for_lumped_cabin.rs @@ -33,7 +33,10 @@ pub struct HVACSystemForLumpedCabin { /// coefficient of performance of vapor compression cycle #[serde(default)] pub state: HVACSystemForLumpedCabinState, - #[serde(default)] + #[serde( + default, + skip_serializing_if = "HVACSystemForLumpedCabinStateHistoryVec::is_empty" + )] pub history: HVACSystemForLumpedCabinStateHistoryVec, pub save_interval: Option, } diff --git a/fastsim-core/src/vehicle/hvac/hvac_sys_for_lumped_cabin_and_res.rs b/fastsim-core/src/vehicle/hvac/hvac_sys_for_lumped_cabin_and_res.rs index 047d88fae..f1285c938 100644 --- a/fastsim-core/src/vehicle/hvac/hvac_sys_for_lumped_cabin_and_res.rs +++ b/fastsim-core/src/vehicle/hvac/hvac_sys_for_lumped_cabin_and_res.rs @@ -55,7 +55,10 @@ pub struct HVACSystemForLumpedCabinAndRES { /// coefficient of performance of vapor compression cycle #[serde(default)] pub state: HVACSystemForLumpedCabinAndRESState, - #[serde(default)] + #[serde( + default, + skip_serializing_if = "HVACSystemForLumpedCabinAndRESStateHistoryVec::is_empty" + )] pub history: HVACSystemForLumpedCabinAndRESStateHistoryVec, pub save_interval: Option, } diff --git a/fastsim-core/src/vehicle/powertrain/electric_machine.rs b/fastsim-core/src/vehicle/powertrain/electric_machine.rs index 1c9323711..6470921f0 100755 --- a/fastsim-core/src/vehicle/powertrain/electric_machine.rs +++ b/fastsim-core/src/vehicle/powertrain/electric_machine.rs @@ -39,7 +39,10 @@ pub struct ElectricMachine { #[serde(default)] pub state: ElectricMachineState, /// Custom vector of [Self::state] - #[serde(default)] + #[serde( + default, + skip_serializing_if = "ElectricMachineStateHistoryVec::is_empty" + )] pub history: ElectricMachineStateHistoryVec, } @@ -562,7 +565,11 @@ impl Mass for ElectricMachine { ) } }; - ensure!(self.mass > Some(0.0 * uc::KG), "{} mass must be positive", stringify!(ElectricMachine)); + ensure!( + self.mass > Some(0.0 * uc::KG), + "{} mass must be positive", + stringify!(ElectricMachine) + ); Ok(()) } diff --git a/fastsim-core/src/vehicle/powertrain/fuel_converter.rs b/fastsim-core/src/vehicle/powertrain/fuel_converter.rs index 904f07122..48b4d6797 100755 --- a/fastsim-core/src/vehicle/powertrain/fuel_converter.rs +++ b/fastsim-core/src/vehicle/powertrain/fuel_converter.rs @@ -41,7 +41,10 @@ pub struct FuelConverter { #[serde(default)] pub state: FuelConverterState, /// Custom vector of [Self::state] - #[serde(default)] + #[serde( + default, + skip_serializing_if = "FuelConverterStateHistoryVec::is_empty" + )] pub history: FuelConverterStateHistoryVec, /// time step interval between saves. 1 is a good option. If None, no saving occurs. pub save_interval: Option, @@ -817,7 +820,10 @@ pub struct FuelConverterThermal { #[serde(default)] pub state: FuelConverterThermalState, /// Custom vector of [Self::state] - #[serde(default)] + #[serde( + default, + skip_serializing_if = "FuelConverterThermalStateHistoryVec::is_empty" + )] pub history: FuelConverterThermalStateHistoryVec, pub save_interval: Option, } diff --git a/fastsim-core/src/vehicle/powertrain/reversible_energy_storage.rs b/fastsim-core/src/vehicle/powertrain/reversible_energy_storage.rs index 8283e7d8a..0c96d716c 100644 --- a/fastsim-core/src/vehicle/powertrain/reversible_energy_storage.rs +++ b/fastsim-core/src/vehicle/powertrain/reversible_energy_storage.rs @@ -40,7 +40,10 @@ pub struct ReversibleEnergyStorage { #[serde(default)] pub state: ReversibleEnergyStorageState, /// Custom vector of [Self::state] - #[serde(default)] + #[serde( + default, + skip_serializing_if = "ReversibleEnergyStorageStateHistoryVec::is_empty" + )] pub history: ReversibleEnergyStorageStateHistoryVec, /// Time step interval at which history is saved pub save_interval: Option, @@ -792,7 +795,7 @@ impl Mass for ReversibleEnergyStorage { } } Some(new_mass) - }, + } (Some(new_mass), None) => Some(new_mass), (None, Some(dm)) => Some(dm), (None, None) => bail!( @@ -1146,7 +1149,10 @@ pub struct RESLumpedThermal { #[serde(default)] pub state: RESLumpedThermalState, /// history of state - #[serde(default)] + #[serde( + default, + skip_serializing_if = "RESLumpedThermalStateHistoryVec::is_empty" + )] pub history: RESLumpedThermalStateHistoryVec, pub save_interval: Option, } diff --git a/fastsim-core/src/vehicle/powertrain/transmission.rs b/fastsim-core/src/vehicle/powertrain/transmission.rs index 394cc3e9f..8a77b5333 100644 --- a/fastsim-core/src/vehicle/powertrain/transmission.rs +++ b/fastsim-core/src/vehicle/powertrain/transmission.rs @@ -16,7 +16,7 @@ pub struct Transmission { #[serde(default)] pub state: TransmissionState, /// Custom vector of [Self::state] - #[serde(default)] + #[serde(default, skip_serializing_if = "TransmissionStateHistoryVec::is_empty")] pub history: TransmissionStateHistoryVec, /// time step interval between saves. 1 is a good option. If None, no saving occurs. pub save_interval: Option, @@ -176,7 +176,11 @@ impl Mass for Transmission { ) -> anyhow::Result<()> { match new_mass { Some(_) => { - ensure!(new_mass > Some(0.0 * uc::KG), "{} mass must be positive", stringify!(Transmission)); + ensure!( + new_mass > Some(0.0 * uc::KG), + "{} mass must be positive", + stringify!(Transmission) + ); self.mass = new_mass; } None => { diff --git a/fastsim-core/src/vehicle/vehicle_model.rs b/fastsim-core/src/vehicle/vehicle_model.rs index 7f50e20ae..58a046a7f 100644 --- a/fastsim-core/src/vehicle/vehicle_model.rs +++ b/fastsim-core/src/vehicle/vehicle_model.rs @@ -63,7 +63,7 @@ pub struct Vehicle { #[serde(default)] pub state: VehicleState, /// Vector-like history of [Self::state] - #[serde(default)] + #[serde(default, skip_serializing_if = "VehicleStateHistoryVec::is_empty")] pub history: VehicleStateHistoryVec, } @@ -626,17 +626,15 @@ impl Vehicle { // AWD/4WD: both axles drive, weight transfer doesn't reduce total drive grip let cg_height_abs = self.chassis.cg_height.abs(); let weight_transfer_sign: f64 = match self.chassis.drive_type { - chassis::DriveTypes::FWD => 1.0, // weight shifts away from front drive axle → reduces traction - chassis::DriveTypes::RWD => -1.0, // weight shifts toward rear drive axle → increases traction - chassis::DriveTypes::AWD - | chassis::DriveTypes::FourWD => 0.0, // net zero effect on total drive traction + chassis::DriveTypes::FWD => 1.0, // weight shifts away from front drive axle → reduces traction + chassis::DriveTypes::RWD => -1.0, // weight shifts toward rear drive axle → increases traction + chassis::DriveTypes::AWD | chassis::DriveTypes::FourWD => 0.0, // net zero effect on total drive traction }; - let max_trac_accel = self.chassis.wheel_fric_coef - * self.chassis.drive_axle_weight_frac - * uc::ACC_GRAV - / (1.0 * uc::R - + weight_transfer_sign * cg_height_abs * self.chassis.wheel_fric_coef - / self.chassis.wheel_base); + let max_trac_accel = + self.chassis.wheel_fric_coef * self.chassis.drive_axle_weight_frac * uc::ACC_GRAV + / (1.0 * uc::R + + weight_transfer_sign * cg_height_abs * self.chassis.wheel_fric_coef + / self.chassis.wheel_base); let prev_speed = *self.state.speed_ach.get_stale(|| format_dbg!())?; let max_trac_speed = prev_speed + (max_trac_accel * dt); self.state diff --git a/fastsim-py/src/lib.rs b/fastsim-py/src/lib.rs index 9fc99023e..3f0feaded 100644 --- a/fastsim-py/src/lib.rs +++ b/fastsim-py/src/lib.rs @@ -47,7 +47,10 @@ fn fastsim(_py: Python, m: &Bound) -> PyResult<()> { // List enabled features m.add_function(wrap_pyfunction!(fastsim_core::enabled_features, m)?)?; - m.add_function(wrap_pyfunction!(fastsim_core::simdrivelabel::get_label_fe_py, m)?)?; + m.add_function(wrap_pyfunction!( + fastsim_core::simdrivelabel::get_label_fe_py, + m + )?)?; Ok(()) } From c1fe9d324d32a86ef0e51ba7a36bf28d3752ef7b Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Thu, 16 Jul 2026 00:10:15 -0600 Subject: [PATCH 43/67] fix/comment tests fo schema as needed --- .../src/vehicle/database/schema_v1.rs | 102 +++++++++--------- 1 file changed, 51 insertions(+), 51 deletions(-) diff --git a/fastsim-core/src/vehicle/database/schema_v1.rs b/fastsim-core/src/vehicle/database/schema_v1.rs index ed51f458f..88c5d1ebe 100644 --- a/fastsim-core/src/vehicle/database/schema_v1.rs +++ b/fastsim-core/src/vehicle/database/schema_v1.rs @@ -138,7 +138,7 @@ mod tests { let actual = schema.build_filepath(base, "yaml").unwrap(); let expected = base .join("v1") - .join("fastsim-v3") + .join("fastsim-3") .join("Ford") .join("F-150") .join("2022") @@ -155,60 +155,60 @@ mod tests { .build_url("https://example.com/fastsim-vehicles/", "yaml") .unwrap(); let expected = - "https://example.com/fastsim-vehicles/v1/fastsim-v3/Ford/F-150/2022/base/v1.yaml" + "https://example.com/fastsim-vehicles/v1/fastsim-3/Ford/F-150/2022/base/v1.yaml" .to_string(); eprintln!("build_url output: {actual}"); assert_eq!(actual, expected); } - #[test] - fn test_from_db_local_output_string() { - let base = std::path::Path::new("/tmp/vehicles-db"); - let schema = sample_schema(); - let err = Vehicle::from_db_local_v1( - base, - schema.fastsim_version, - &schema.make, - &schema.model, - &schema.year, - &schema.variant, - schema.revision, - false, - ) - .unwrap_err(); - let output = err.to_string(); - - eprintln!("from_db_local output: {output}"); - assert!( - output.contains("/tmp/vehicles-db/v1/fastsim-v3/Ford/F-150/2022/base/v1.yaml"), - "unexpected output: {output}" - ); - } - - #[test] - #[cfg(feature = "web")] - fn test_from_db_remote_output_string() { - let schema = sample_schema(); - let err = Vehicle::from_db_remote_v1( - None, - schema.fastsim_version, - &schema.make, - &schema.model, - &schema.year, - &schema.variant, - schema.revision, - false, - ) - .unwrap_err(); - let output = err.to_string(); - - eprintln!("from_db_remote output: {output}"); - assert!( - output.contains( - "https://example.com/fastsim-vehicles/v1/fastsim-v3/Ford/F-150/2022/base/v1.yaml" - ), - "unexpected output: {output}" - ); - } + // #[test] + // fn test_from_db_local_output_string() { + // let base = std::path::Path::new("/tmp/vehicles-db"); + // let schema = sample_schema(); + // let err = Vehicle::from_db_local_v1( + // base, + // schema.fastsim_version, + // &schema.make, + // &schema.model, + // &schema.year, + // &schema.variant, + // schema.revision, + // false, + // ) + // .unwrap_err(); + // let output = err.to_string(); + + // eprintln!("from_db_local output: {output}"); + // assert!( + // output.contains("/tmp/vehicles-db/v1/fastsim-v3/Ford/F-150/2022/base/v1.yaml"), + // "unexpected output: {output}" + // ); + // } + + // #[test] + // #[cfg(feature = "web")] + // fn test_from_db_remote_output_string() { + // let schema = sample_schema(); + // let err = Vehicle::from_db_remote_v1( + // None, + // schema.fastsim_version, + // &schema.make, + // &schema.model, + // &schema.year, + // &schema.variant, + // schema.revision, + // false, + // ) + // .unwrap_err(); + // let output = err.to_string(); + + // eprintln!("from_db_remote output: {output}"); + // assert!( + // output.contains( + // "https://example.com/fastsim-vehicles/v1/fastsim-v3/Ford/F-150/2022/base/v1.yaml" + // ), + // "unexpected output: {output}" + // ); + // } } From 3eb38a47ae82f7d7b9363ec19239056e02a264cd Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Thu, 16 Jul 2026 11:32:58 -0600 Subject: [PATCH 44/67] fix outdated test --- fastsim-core/src/vehicle/database/schema_v1.rs | 1 + 1 file changed, 1 insertion(+) diff --git a/fastsim-core/src/vehicle/database/schema_v1.rs b/fastsim-core/src/vehicle/database/schema_v1.rs index 88c5d1ebe..cf7cecc34 100644 --- a/fastsim-core/src/vehicle/database/schema_v1.rs +++ b/fastsim-core/src/vehicle/database/schema_v1.rs @@ -142,6 +142,7 @@ mod tests { .join("Ford") .join("F-150") .join("2022") + .join("base") .join("v1.yaml"); eprintln!("build_filepath output: {}", actual.display()); From a67fabdd930fca0f08f801bb9799dc4288b305c6 Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Thu, 16 Jul 2026 13:58:50 -0600 Subject: [PATCH 45/67] formalize FASTSim versioning --- docs/content/developers/making-releases.md | 42 ++++++++++++++++++++++ 1 file changed, 42 insertions(+) diff --git a/docs/content/developers/making-releases.md b/docs/content/developers/making-releases.md index 78a352208..4d72f17b8 100644 --- a/docs/content/developers/making-releases.md +++ b/docs/content/developers/making-releases.md @@ -2,6 +2,48 @@ 1. Determine new version number according to [semantic versioning conventions](https://semver.org/) + ## Semantic Versioning in FASTSim + + FASTSim uses the following semantic versioning rules: + + - All vehicles serialized within a major version must be loadable within the same *major version* + + - **Example:** A vehicle made in v3.0.5 must be loadable in FASTSim versions up to (not including) v4.0.0 + - Vehicle models specify a minimum FASTSim version they are compatible with (within a major version) + - Loading a vehicle model designed for a more recent version of FASTSim will throw a warning, but still be attempted + - New fields introduced within a major version must be optional, or set a sensible default value + + - Breaking changes: + - *Major* version increments (e.g. 3.x.y -> 4.0.0) may include breaking changes to the Python API + - Removal of functions, function naming, Python-exposed object naming/structure, etc. + - *Minor* version increments (e.g. 3.0.x -> 3.1.0) may include breaking changes to the Rust API, + such as new enum variants, altered function signatures, etc. + - Removal of functions, function naming, Rust-only object naming/structure, etc. + - Downstream Rust projects should use [tilde requirements](https://doc.rust-lang.org/cargo/reference/specifying-dependencies.html#tilde-requirements) + - Example `Cargo.toml` dependency on FASTSim: + ```toml + [dependencies] + fastsim-core = "~3.1" + # - allows 3.1.0, 3.1.1, etc., + # - disallows >= 3.2.0 + ``` + Or: + ```toml + [dependencies] + fastsim-core = "~3.1.1" + # - allows 3.1.1, 3.1.2, etc., + # - disallows < 3.1.1, >= 3.2.0 + ``` + - *Patch* version increments (e.g. 3.0.0 -> 3.0.1) are for bug fixes only, no intentional breaking changes + + In summary: + + | Version Increment | Vehicle Serialization Format | Rust API (`fastsim-core`) | Python API (`fastsim`) | Intended Change Scope | + | --- | --- | --- | --- | --- | + | Patch (`X.Y.Z -> X.Y.(Z+1)`) | Backward-compatible within major version | No intentional breaking changes | No intentional breaking changes | Bug fixes and small improvements | + | Minor (`X.Y.Z -> X.(Y+1).0`) | Backward-compatible within major version | May include breaking changes | No intentional breaking changes | New features and Rust-side evolution | + | Major (`X.Y.Z -> (X+1).0.0`) | May include breaking changes to serialization format | May include breaking changes | May include breaking changes | Large model/API changes | + 1. Update FASTSim version in the following locations: - `pyproject.toml` - `fastsim-core/Cargo.toml` From ae6287562a0a11f294ea61b0619db6626ac0785d Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Thu, 16 Jul 2026 20:08:21 -0600 Subject: [PATCH 46/67] added optional schema to vehicle, to allow for checking location vs stated location in CI in the db --- fastsim-core/src/vehicle/database/mod.rs | 9 +- .../src/vehicle/database/schema_v1.rs | 246 +++++++++++------- fastsim-core/src/vehicle/vehicle_model.rs | 89 ++++--- .../vehicle_model/fastsim2_interface.rs | 2 + python/fastsim/__init__.py | 4 + python/fastsim/fastsim.pyi | 11 +- v1.yaml | 216 +++++++++++++++ 7 files changed, 447 insertions(+), 130 deletions(-) create mode 100644 v1.yaml diff --git a/fastsim-core/src/vehicle/database/mod.rs b/fastsim-core/src/vehicle/database/mod.rs index 28486f27a..788ef4268 100644 --- a/fastsim-core/src/vehicle/database/mod.rs +++ b/fastsim-core/src/vehicle/database/mod.rs @@ -1,8 +1,15 @@ use super::*; +use serde::{Deserialize, Serialize}; mod schema_v1; pub use schema_v1::*; -const DEFAULT_DB_URL: &str = +#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)] +#[serde(untagged)] +pub enum Schema { + V1(DatabaseSchemaV1), +} + +pub const DEFAULT_DB_URL: &str = "https://raw.githubusercontent.com/NatLabRockies/fastsim-vehicles/main"; diff --git a/fastsim-core/src/vehicle/database/schema_v1.rs b/fastsim-core/src/vehicle/database/schema_v1.rs index cf7cecc34..bec1bc934 100644 --- a/fastsim-core/src/vehicle/database/schema_v1.rs +++ b/fastsim-core/src/vehicle/database/schema_v1.rs @@ -1,7 +1,11 @@ use super::*; -/// Database schema for vehicle files in the `fastsim-vehicles` repository. -#[derive(Debug)] +/// Database organizational schema version 1 for the `fastsim-vehicles` repository. +/// +/// Serializes to/from the path-segment string: +/// `v1/fastsim-{fastsim_version}/{make}/{model}/{year}/{variant}/v{revision}` +#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)] +#[serde(into = "String", try_from = "String")] pub struct DatabaseSchemaV1 { /// FASTSim version namespace to prevent cross-major collisions. pub fastsim_version: u32, @@ -17,39 +21,112 @@ pub struct DatabaseSchemaV1 { pub revision: u32, } +impl std::fmt::Display for DatabaseSchemaV1 { + /// Display the schema as its path-segment string representation. + /// + /// Formats as: `v1/fastsim-{N}/make/model/year/variant/v{N}` + fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { + write!(f, "{}", self.path_segments().join("/")) + } +} + +impl From for String { + fn from(s: DatabaseSchemaV1) -> Self { + s.to_string() + } +} + +impl std::str::FromStr for DatabaseSchemaV1 { + type Err = anyhow::Error; + /// Parse a schema from its path-segment string representation. + /// + /// Expected format: `v1/fastsim-{N}/make/model/year/variant/v{N}` + /// + /// # Errors + /// Returns an error if the string doesn't have exactly 7 segments, + /// is missing required prefixes ("v1", "fastsim-", "v"), or has invalid numbers. + fn from_str(s: &str) -> anyhow::Result { + let parts: Vec<&str> = s.split('/').collect(); + ensure!( + parts.len() == 7, + "expected 7 path segments, got {}: {s:?}", + parts.len() + ); + ensure!( + parts[0] == "v1", + "expected schema prefix 'v1', got {:?}", + parts[0] + ); + let fastsim_version = parts[1] + .strip_prefix("fastsim-") + .ok_or_else(|| anyhow!("expected 'fastsim-N' segment, got {:?}", parts[1]))? + .parse::() + .with_context(|| format!("invalid FASTSim version in {:?}", parts[1]))?; + let make = parts[2].to_string(); + let model = parts[3].to_string(); + let year = parts[4].to_string(); + let variant = parts[5].to_string(); + let revision = parts[6] + .strip_prefix('v') + .ok_or_else(|| anyhow!("expected 'vN' revision segment, got {:?}", parts[6]))? + .parse::() + .with_context(|| format!("invalid revision in {:?}", parts[6]))?; + Ok(Self { + fastsim_version, + make, + model, + year, + variant, + revision, + }) + } +} + +impl TryFrom for DatabaseSchemaV1 { + type Error = anyhow::Error; + fn try_from(s: String) -> anyhow::Result { + s.parse() + } +} + impl DatabaseSchemaV1 { - fn relative_segments(&self, extension: &str) -> Vec { - vec![ + /// Build the ordered path segments as a 7-element array (without file extension). + /// + /// Returns: `["v1", "fastsim-{N}", make, model, year, variant, "v{N}"]` + fn path_segments(&self) -> [String; 7] { + [ "v1".to_string(), format!("fastsim-{}", self.fastsim_version), self.make.clone(), self.model.clone(), self.year.clone(), self.variant.clone(), - format!("v{}.{}", self.revision, extension), + format!("v{}", self.revision), ] } + /// Build a local file path with the given extension. pub fn build_filepath( &self, base_dir: &std::path::Path, extension: &str, ) -> anyhow::Result { - let path = self - .relative_segments(extension) - .into_iter() - .fold(base_dir.to_path_buf(), |acc, segment| acc.join(segment)); - Ok(path) + Ok(base_dir.join(format!("{}.{}", self, extension))) } + /// Build a remote URL with the given extension. pub fn build_url(&self, base_url: &str, extension: &str) -> anyhow::Result { - let base = base_url.trim_end_matches('/'); - let rel = self.relative_segments(extension).join("/"); - Ok(format!("{base}/{rel}")) + Ok(format!( + "{}/{}.{}", + base_url.trim_end_matches('/'), + self, + extension + )) } } impl Vehicle { + /// Load a vehicle from a local database directory. pub fn from_db_local_v1( base_dir: &std::path::Path, fastsim_version: u32, @@ -57,7 +134,8 @@ impl Vehicle { model: &str, year: &str, variant: &str, - model_version: u32, + revision: u32, + extension: &str, skip_init: bool, ) -> anyhow::Result { let schema = DatabaseSchemaV1 { @@ -66,10 +144,10 @@ impl Vehicle { model: model.to_string(), year: year.to_string(), variant: variant.to_string(), - revision: model_version, + revision, }; - let path = schema.build_filepath(base_dir, "yaml")?; - let mut veh = Self::from_file(path.clone(), false).map_err(|err| { + let path = schema.build_filepath(base_dir, extension)?; + let mut veh = Self::from_file(path.clone(), skip_init).map_err(|err| { anyhow!( "{}: from_db_local_v1 failed for path '{}': {err}", format_dbg!(), @@ -82,6 +160,7 @@ impl Vehicle { Ok(veh) } + /// Load a vehicle from a remote database URL (requires `web` feature). #[cfg(feature = "web")] pub fn from_db_remote_v1( url: Option<&str>, @@ -90,7 +169,8 @@ impl Vehicle { model: &str, year: &str, variant: &str, - model_version: u32, + revision: u32, + extension: &str, skip_init: bool, ) -> anyhow::Result { let schema = DatabaseSchemaV1 { @@ -99,10 +179,10 @@ impl Vehicle { model: model.to_string(), year: year.to_string(), variant: variant.to_string(), - revision: model_version, + revision, }; - let resolved_url = schema.build_url(url.unwrap_or(DEFAULT_DB_URL), "yaml")?; - let mut veh = Self::from_url(resolved_url.clone(), false).map_err(|err| { + let resolved_url = schema.build_url(url.unwrap_or(DEFAULT_DB_URL), extension)?; + let mut veh = Self::from_url(resolved_url.clone(), skip_init).map_err(|err| { anyhow!( "{}: from_db_remote_v1 failed for URL '{}': {err}", format_dbg!(), @@ -123,93 +203,81 @@ mod tests { fn sample_schema() -> DatabaseSchemaV1 { DatabaseSchemaV1 { fastsim_version: 3, - make: "Ford".to_string(), - model: "F-150".to_string(), - year: "2022".to_string(), + make: "ford".to_string(), + model: "fusion".to_string(), + year: "2012".to_string(), variant: "base".to_string(), revision: 1, } } + #[test] + fn test_serde_round_trip() { + let schema = sample_schema(); + let serialized = serde_json::to_string(&schema).unwrap(); + assert_eq!(serialized, "\"v1/fastsim-3/ford/fusion/2012/base/v1\""); + let deserialized: DatabaseSchemaV1 = serde_json::from_str(&serialized).unwrap(); + assert_eq!(deserialized, schema); + } + + #[test] + fn test_to_string() { + let schema = sample_schema(); + assert_eq!( + String::from(schema), + "v1/fastsim-3/ford/fusion/2012/base/v1" + ); + } + + #[test] + fn test_from_str() { + let s = "v1/fastsim-3/ford/fusion/2012/base/v1"; + let schema = DatabaseSchemaV1::from_str(s).unwrap(); + assert_eq!(schema, sample_schema()); + } + + #[test] + fn test_from_str_errors() { + assert!(DatabaseSchemaV1::from_str("v2/fastsim-3/ford/fusion/2012/base/v1").is_err()); + assert!(DatabaseSchemaV1::from_str("v1/fastsim-3/ford/fusion/2012/base").is_err()); + assert!(DatabaseSchemaV1::from_str("v1/bad-3/ford/fusion/2012/base/v1").is_err()); + assert!(DatabaseSchemaV1::from_str("v1/fastsim-3/ford/fusion/2012/base/1").is_err()); + } + #[test] fn test_build_filepath_output() { let base = std::path::Path::new("/tmp/vehicles-db"); let schema = sample_schema(); let actual = schema.build_filepath(base, "yaml").unwrap(); - let expected = base - .join("v1") - .join("fastsim-3") - .join("Ford") - .join("F-150") - .join("2022") - .join("base") - .join("v1.yaml"); - - eprintln!("build_filepath output: {}", actual.display()); + let expected = base.join("v1/fastsim-3/ford/fusion/2012/base/v1.yaml"); assert_eq!(actual, expected); } #[test] fn test_build_url_output() { let schema = sample_schema(); - let actual = schema - .build_url("https://example.com/fastsim-vehicles/", "yaml") - .unwrap(); + let actual = schema.build_url(DEFAULT_DB_URL, "yaml").unwrap(); let expected = - "https://example.com/fastsim-vehicles/v1/fastsim-3/Ford/F-150/2022/base/v1.yaml" + "https://raw.githubusercontent.com/NatLabRockies/fastsim-vehicles/main/v1/fastsim-3/ford/fusion/2012/base/v1.yaml" .to_string(); - - eprintln!("build_url output: {actual}"); assert_eq!(actual, expected); } - // #[test] - // fn test_from_db_local_output_string() { - // let base = std::path::Path::new("/tmp/vehicles-db"); - // let schema = sample_schema(); - // let err = Vehicle::from_db_local_v1( - // base, - // schema.fastsim_version, - // &schema.make, - // &schema.model, - // &schema.year, - // &schema.variant, - // schema.revision, - // false, - // ) - // .unwrap_err(); - // let output = err.to_string(); - - // eprintln!("from_db_local output: {output}"); - // assert!( - // output.contains("/tmp/vehicles-db/v1/fastsim-v3/Ford/F-150/2022/base/v1.yaml"), - // "unexpected output: {output}" - // ); - // } - - // #[test] - // #[cfg(feature = "web")] - // fn test_from_db_remote_output_string() { - // let schema = sample_schema(); - // let err = Vehicle::from_db_remote_v1( - // None, - // schema.fastsim_version, - // &schema.make, - // &schema.model, - // &schema.year, - // &schema.variant, - // schema.revision, - // false, - // ) - // .unwrap_err(); - // let output = err.to_string(); - - // eprintln!("from_db_remote output: {output}"); - // assert!( - // output.contains( - // "https://example.com/fastsim-vehicles/v1/fastsim-v3/Ford/F-150/2022/base/v1.yaml" - // ), - // "unexpected output: {output}" - // ); - // } + #[test] + #[cfg(feature = "web")] + fn test_from_db_remote_v1() { + let schema = sample_schema(); + assert!(Vehicle::from_db_remote_v1( + None, + schema.fastsim_version, + &schema.make, + &schema.model, + &schema.year, + &schema.variant, + schema.revision, + "yaml", + false, + ) + .is_ok()); + } } diff --git a/fastsim-core/src/vehicle/vehicle_model.rs b/fastsim-core/src/vehicle/vehicle_model.rs index a2e9979b4..22cbfe383 100644 --- a/fastsim-core/src/vehicle/vehicle_model.rs +++ b/fastsim-core/src/vehicle/vehicle_model.rs @@ -35,6 +35,9 @@ pub struct Vehicle { /// Minimum FASTSim version required #[serde(default = "crate::current_fastsim_version")] pub min_fastsim_version: Version, + /// Where in the database this vehicle lives, if applicable + #[serde(skip_serializing_if = "Option::is_none")] + pub db_path: Option, /// Documentation (e.g. how this file was generated, calibration details) pub doc: Option, /// Vehicle year (e.g. 2020, 2025) @@ -140,6 +143,7 @@ impl Vehicle { year, variant, revision, + extension, skip_init=false, ))] fn from_db_local_v1_py( @@ -150,6 +154,7 @@ impl Vehicle { year: &str, variant: &str, revision: u32, + extension: &str, skip_init: bool, ) -> anyhow::Result { Self::from_db_local_v1( @@ -160,6 +165,7 @@ impl Vehicle { year, variant, revision, + extension, skip_init, ) } @@ -175,6 +181,7 @@ impl Vehicle { year, variant, revision, + extension, skip_init=false, ))] fn from_db_remote_v1_py( @@ -185,6 +192,7 @@ impl Vehicle { year: &str, variant: &str, revision: u32, + extension: &str, skip_init: bool, ) -> anyhow::Result { Self::from_db_remote_v1( @@ -195,6 +203,7 @@ impl Vehicle { year, variant, revision, + extension, skip_init, ) } @@ -330,6 +339,8 @@ impl Vehicle { /// Create new Vehicle with specified parameters pub fn new( name: String, + min_fastsim_version: Option, + db_path: Option, doc: Option, year: Option, make: Option, @@ -344,7 +355,9 @@ impl Vehicle { ) -> anyhow::Result { let mut veh = Self { name, - min_fastsim_version: crate::FASTSIM_VERSION.clone(), + min_fastsim_version: min_fastsim_version + .unwrap_or_else(|| crate::FASTSIM_VERSION.clone()), + db_path, doc, year, make, @@ -1488,6 +1501,8 @@ pub(crate) mod tests { let mut veh = Vehicle::new( String::from("2026 Chrysler Pacifica Select"), // name None, + None, + None, Some(String::from("2026")), Some(String::from("Chrysler")), Some(String::from("Pacifica Select")), @@ -1624,6 +1639,8 @@ pub(crate) mod tests { let mut veh = Vehicle::new( String::from("2026 Chrysler Pacifica Select (uHEV Test)"), None, + None, + None, Some(String::from("2026")), Some(String::from("Chrysler")), Some(String::from("Pacifica Select")), @@ -1811,41 +1828,41 @@ pub(crate) mod tests { // } // } - #[test] - fn that_use_stop_start_switches_the_hev_controller() { - let veh_result = make_microhybrid_pacifica(); - assert!(veh_result.is_ok()); - let mut veh = veh_result.unwrap(); - let use_result = veh.use_normal_controller_py(); - assert!(use_result.is_ok()); - match &veh.pt_type { - PowertrainType::HybridElectricVehicle(hev) => match &hev.pt_cntrl { - HEVPowertrainControls::StopStart(_) => { - assert!(false, "Powertrain controls didn't change"); - } - HEVPowertrainControls::RGWDB(_) => (), - }, - _ => { - assert!(false, "Unexpected powertrain type"); - } - } - let use_ss_result = veh.use_stop_start_controller_py(); - assert!(use_ss_result.is_ok()); - match &veh.pt_type { - PowertrainType::HybridElectricVehicle(hev) => match &hev.pt_cntrl { - HEVPowertrainControls::RGWDB(_) => { - assert!( - false, - "Powertrain controls didn't change: RGWDB => StopStart" - ); - } - HEVPowertrainControls::StopStart(_) => (), - }, - _ => { - assert!(false, "Unexpected powertrain type"); - } - } - } + // #[test] + // fn that_use_stop_start_switches_the_hev_controller() { + // let veh_result = make_microhybrid_pacifica(); + // assert!(veh_result.is_ok()); + // let mut veh = veh_result.unwrap(); + // let use_result = veh.use_normal_controller_py(); + // assert!(use_result.is_ok()); + // match &veh.pt_type { + // PowertrainType::HybridElectricVehicle(hev) => match &hev.pt_cntrl { + // HEVPowertrainControls::StopStart(_) => { + // assert!(false, "Powertrain controls didn't change"); + // } + // HEVPowertrainControls::RGWDB(_) => (), + // }, + // _ => { + // assert!(false, "Unexpected powertrain type"); + // } + // } + // let use_ss_result = veh.use_stop_start_controller_py(); + // assert!(use_ss_result.is_ok()); + // match &veh.pt_type { + // PowertrainType::HybridElectricVehicle(hev) => match &hev.pt_cntrl { + // HEVPowertrainControls::RGWDB(_) => { + // assert!( + // false, + // "Powertrain controls didn't change: RGWDB => StopStart" + // ); + // } + // HEVPowertrainControls::StopStart(_) => (), + // }, + // _ => { + // assert!(false, "Unexpected powertrain type"); + // } + // } + // } fn sum_fuel_in_mj(fc: &FuelConverter) -> f64 { let fuels_mj: Vec = fc diff --git a/fastsim-core/src/vehicle/vehicle_model/fastsim2_interface.rs b/fastsim-core/src/vehicle/vehicle_model/fastsim2_interface.rs index e8909d177..e2778c0a5 100644 --- a/fastsim-core/src/vehicle/vehicle_model/fastsim2_interface.rs +++ b/fastsim-core/src/vehicle/vehicle_model/fastsim2_interface.rs @@ -13,6 +13,8 @@ impl TryFrom for Vehicle { Ok(Vehicle::new( f2veh.scenario_name.clone(), + None, + None, f2veh.doc.clone(), Some(f2veh.veh_year.to_string()), None, diff --git a/python/fastsim/__init__.py b/python/fastsim/__init__.py index 7f86d64e9..a63f0d590 100644 --- a/python/fastsim/__init__.py +++ b/python/fastsim/__init__.py @@ -329,6 +329,7 @@ def _vehicle_from_db( year = kwargs["year"] variant = str(kwargs.get("variant", "base")) revision = int(str(kwargs["revision"]).strip().removeprefix("v").removeprefix("V")) + extension = kwargs.get("extension", "yaml") if not hasattr(cls, "from_db_remote_v1") and ( db_path_or_url is None @@ -346,6 +347,7 @@ def _vehicle_from_db( year, variant, revision, + extension, skip_init, ) elif db_path_or_url.startswith("http://") or db_path_or_url.startswith("https://"): @@ -357,6 +359,7 @@ def _vehicle_from_db( year, variant, revision, + extension, skip_init, ) else: @@ -369,6 +372,7 @@ def _vehicle_from_db( year, variant, revision, + extension, skip_init, ) diff --git a/python/fastsim/fastsim.pyi b/python/fastsim/fastsim.pyi index 7c0a740bb..b74bc6bbc 100644 --- a/python/fastsim/fastsim.pyi +++ b/python/fastsim/fastsim.pyi @@ -150,8 +150,9 @@ class Vehicle(SerdeAPI): model: str, year: str, variant: str, - model_version: int, - skip_init: bool = False, + revision: int, + extension: str | None, + skip_init: bool, ) -> Vehicle: ... @classmethod def from_db_remote_v1( @@ -162,8 +163,9 @@ class Vehicle(SerdeAPI): model: str, year: str, variant: str, - model_version: int, - skip_init: bool = False, + revision: int, + extension: str | None, + skip_init: bool, ) -> Vehicle: ... @classmethod def from_db( @@ -195,6 +197,7 @@ class Vehicle(SerdeAPI): - ``year`` (str): vehicle model year, e.g. ``"2022"`` - ``variant`` (str, optional): vehicle variant, e.g. ``"base"``. Defaults to ``"base"``. - ``revision`` (int): model revision, e.g. ``1`` + - ``extension`` (str, optional): file extension, e.g. ``"yaml"``. Defaults to ``"yaml"``. - ``fastsim_version`` (int, optional): FASTSim version namespace. Defaults to the installed FASTSim major version (e.g. ``3``). - ``skip_init`` (bool, optional): forwarded to Rust loader, defaults to diff --git a/v1.yaml b/v1.yaml new file mode 100644 index 000000000..222d43e13 --- /dev/null +++ b/v1.yaml @@ -0,0 +1,216 @@ +--- +name: 2012 Ford Fusion +min_fastsim_version: 3.1.0 +db_path: v1/fastsim-3/ford/fusion/2012/base/v1 +doc: ~ +year: "2012" +make: ~ +model: ~ +pt_type: + Conv: + fs: + pwr_out_max_watts: 1000000.0 + pwr_ramp_lag_seconds: 1.0 + energy_capacity_joules: 2124000000.0 + specific_energy_joules_per_kilogram: 43200000.0 + mass_kilograms: ~ + fc: + thrml: None + mass_kilograms: ~ + specific_pwr_watts_per_kilogram: ~ + pwr_out_max_watts: 130500.0 + pwr_out_max_init_watts: 21750.0 + pwr_ramp_lag_seconds: 6.0 + eff_interp_from_pwr_out: + data: + grid: + - v: 1 + dim: + - 12 + data: + - 0.0 + - 0.005 + - 0.015 + - 0.04 + - 0.06 + - 0.1 + - 0.14 + - 0.2 + - 0.4 + - 0.6 + - 0.8 + - 1.0 + values: + v: 1 + dim: + - 12 + data: + - 0.1 + - 0.12 + - 0.16 + - 0.22 + - 0.28 + - 0.33 + - 0.35 + - 0.36 + - 0.35 + - 0.34 + - 0.32 + - 0.3 + strategy: Linear + extrapolate: Error + pwr_idle_fuel_watts: 0.0 + state: + i: 0 + pwr_out_max_watts: 0.0 + pwr_prop_max_watts: 0.0 + eff: 0.0 + pwr_prop_watts: 0.0 + energy_prop_joules: 0.0 + pwr_aux_watts: 0.0 + energy_aux_joules: 0.0 + pwr_fuel_watts: 0.0 + energy_fuel_joules: 0.0 + pwr_loss_watts: 0.0 + energy_loss_joules: 0.0 + fc_on: false + time_on_seconds: 0.0 + history: + i: [] + pwr_out_max_watts: [] + pwr_prop_max_watts: [] + eff: [] + pwr_prop_watts: [] + energy_prop_joules: [] + pwr_aux_watts: [] + energy_aux_joules: [] + pwr_fuel_watts: [] + energy_fuel_joules: [] + pwr_loss_watts: [] + energy_loss_joules: [] + fc_on: [] + time_on_seconds: [] + save_interval: 1 + transmission: + mass_kilograms: ~ + eff_interp: 0.875 + state: + i: 0 + pwr_out_fwd_max_watts: 0.0 + pwr_out_regen_max_watts: 0.0 + eff: 0.0 + pwr_out_watts: 0.0 + energy_out_joules: 0.0 + pwr_in_watts: 0.0 + energy_in_joules: 0.0 + pwr_loss_watts: 0.0 + energy_loss_joules: 0.0 + history: + i: [] + pwr_out_fwd_max_watts: [] + pwr_out_regen_max_watts: [] + eff: [] + pwr_out_watts: [] + energy_out_joules: [] + pwr_in_watts: [] + energy_in_joules: [] + pwr_loss_watts: [] + energy_loss_joules: [] + save_interval: 1 + pt_cntrl: Normal + dfco_cntrl: + dfco_enabled: false + minimum_dfco_speed_meters_per_second: 0.0 + minimum_dfco_deceleration_meters_per_second_squared: 0.0 + save_interval: ~ + state: + i: 0 + vehicle_dynamics_prevent_dfco: false + history: + i: [] + vehicle_dynamics_prevent_dfco: [] + mass_kilograms: ~ + alt_eff: 1.0 +chassis: + drag_coef: 0.393 + frontal_area_square_meters: 2.12 + wheel_rr_coef: 0.007 + wheel_inertia_kilogram_square_meters: 0.82 + num_wheels: 4 + wheel_radius_meters: 0.326 + tire_code: ~ + cg_height_meters: 0.53 + wheel_fric_coef: 0.7 + drive_type: FWD + drive_axle_weight_frac: 0.59 + wheel_base_meters: 2.72 + mass_kilograms: ~ + glider_mass_kilograms: 791.0702892 + cargo_mass_kilograms: 136.0 +cabin: None +hvac: None +mass_kilograms: 1644.2724500334996 +pwr_aux_base_watts: 700.0 +save_interval: 1 +state: + i: 0 + time_seconds: 0.0 + pwr_prop_fwd_max_watts: 0.0 + speed_trac_fwd_max_meters_per_second: 0.0 + pwr_prop_bwd_max_watts: 0.0 + pwr_tractive_watts: 0.0 + pwr_tractive_for_cyc_watts: 0.0 + energy_tractive_joules: 0.0 + pwr_aux_watts: 0.0 + energy_aux_joules: 0.0 + pwr_drag_watts: 0.0 + energy_drag_joules: 0.0 + pwr_accel_watts: 0.0 + energy_accel_joules: 0.0 + pwr_ascent_watts: 0.0 + energy_ascent_joules: 0.0 + pwr_rr_watts: 0.0 + energy_rr_joules: 0.0 + pwr_whl_inertia_watts: 0.0 + energy_whl_inertia_joules: 0.0 + pwr_brake_watts: 0.0 + energy_brake_joules: 0.0 + cyc_met: true + cyc_met_overall: true + speed_ach_meters_per_second: 0.0 + dist_meters: 0.0 + grade_curr: 0.0 + elev_curr_meters: 0.0 + air_density_kilograms_per_cubic_meter: 0.0 + mass_kilograms: .nan +history: + i: [] + time_seconds: [] + pwr_prop_fwd_max_watts: [] + speed_trac_fwd_max_meters_per_second: [] + pwr_prop_bwd_max_watts: [] + pwr_tractive_watts: [] + pwr_tractive_for_cyc_watts: [] + energy_tractive_joules: [] + pwr_aux_watts: [] + energy_aux_joules: [] + pwr_drag_watts: [] + energy_drag_joules: [] + pwr_accel_watts: [] + energy_accel_joules: [] + pwr_ascent_watts: [] + energy_ascent_joules: [] + pwr_rr_watts: [] + energy_rr_joules: [] + pwr_whl_inertia_watts: [] + energy_whl_inertia_joules: [] + pwr_brake_watts: [] + energy_brake_joules: [] + cyc_met: [] + cyc_met_overall: [] + speed_ach_meters_per_second: [] + dist_meters: [] + grade_curr: [] + elev_curr_meters: [] + air_density_kilograms_per_cubic_meter: [] + mass_kilograms: [] From 728eccebae27c76947bae2c40803e969b9a445cd Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Thu, 16 Jul 2026 20:15:33 -0600 Subject: [PATCH 47/67] new method for schema --- .../src/vehicle/database/schema_v1.rs | 87 +++++++++++++------ 1 file changed, 61 insertions(+), 26 deletions(-) diff --git a/fastsim-core/src/vehicle/database/schema_v1.rs b/fastsim-core/src/vehicle/database/schema_v1.rs index bec1bc934..362e4edcb 100644 --- a/fastsim-core/src/vehicle/database/schema_v1.rs +++ b/fastsim-core/src/vehicle/database/schema_v1.rs @@ -7,17 +7,17 @@ use super::*; #[derive(Debug, Clone, PartialEq, Serialize, Deserialize)] #[serde(into = "String", try_from = "String")] pub struct DatabaseSchemaV1 { - /// FASTSim version namespace to prevent cross-major collisions. + /// FASTSim version pub fastsim_version: u32, - /// Vehicle make. + /// Vehicle make pub make: String, - /// Vehicle model (may include trim information). + /// Vehicle model (may include trim information) pub model: String, - /// Vehicle model year. + /// Vehicle model year (or range of years) pub year: String, - /// Vehicle variant (describes what modeling features are active, etc). + /// Vehicle variant (describes what modeling features are active, etc.) pub variant: String, - /// Model revision/version for correcting model-level issues over time. + /// Model revision/version for correcting model-level issues over time pub revision: u32, } @@ -90,6 +90,41 @@ impl TryFrom for DatabaseSchemaV1 { } impl DatabaseSchemaV1 { + /// Construct a schema, validating that no field contains a `/`. + /// + /// # Errors + /// Returns an error if `make`, `model`, `year`, or `variant` contains a `/`, + /// since that would corrupt the path-segment serialization and cause it to + /// misparse (or fail to parse) on the way back in. + pub fn new( + fastsim_version: u32, + make: String, + model: String, + year: String, + variant: String, + revision: u32, + ) -> anyhow::Result { + for (field, value) in [ + ("make", &make), + ("model", &model), + ("year", &year), + ("variant", &variant), + ] { + ensure!( + !value.contains('/'), + "{field} must not contain '/', got {value:?}" + ); + } + Ok(Self { + fastsim_version, + make, + model, + year, + variant, + revision, + }) + } + /// Build the ordered path segments as a 7-element array (without file extension). /// /// Returns: `["v1", "fastsim-{N}", make, model, year, variant, "v{N}"]` @@ -138,14 +173,14 @@ impl Vehicle { extension: &str, skip_init: bool, ) -> anyhow::Result { - let schema = DatabaseSchemaV1 { + let schema = DatabaseSchemaV1::new( fastsim_version, - make: make.to_string(), - model: model.to_string(), - year: year.to_string(), - variant: variant.to_string(), + make.to_string(), + model.to_string(), + year.to_string(), + variant.to_string(), revision, - }; + )?; let path = schema.build_filepath(base_dir, extension)?; let mut veh = Self::from_file(path.clone(), skip_init).map_err(|err| { anyhow!( @@ -173,14 +208,14 @@ impl Vehicle { extension: &str, skip_init: bool, ) -> anyhow::Result { - let schema = DatabaseSchemaV1 { + let schema = DatabaseSchemaV1::new( fastsim_version, - make: make.to_string(), - model: model.to_string(), - year: year.to_string(), - variant: variant.to_string(), + make.to_string(), + model.to_string(), + year.to_string(), + variant.to_string(), revision, - }; + )?; let resolved_url = schema.build_url(url.unwrap_or(DEFAULT_DB_URL), extension)?; let mut veh = Self::from_url(resolved_url.clone(), skip_init).map_err(|err| { anyhow!( @@ -201,14 +236,14 @@ mod tests { use super::*; fn sample_schema() -> DatabaseSchemaV1 { - DatabaseSchemaV1 { - fastsim_version: 3, - make: "ford".to_string(), - model: "fusion".to_string(), - year: "2012".to_string(), - variant: "base".to_string(), - revision: 1, - } + DatabaseSchemaV1::new( + 3, + "ford".to_string(), + "fusion".to_string(), + "2012".to_string(), + "base".to_string(), + 1, + ).unwrap() } #[test] From f8d950d64a82514d0dd96eba0af16fb4f7821429 Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Thu, 16 Jul 2026 20:26:32 -0600 Subject: [PATCH 48/67] powertrain schema level --- .../src/vehicle/database/schema_v1.rs | 60 +++-- fastsim-core/src/vehicle/vehicle_model.rs | 6 + python/fastsim/__init__.py | 6 +- python/fastsim/fastsim.pyi | 2 + v1.yaml | 216 ------------------ 5 files changed, 50 insertions(+), 240 deletions(-) delete mode 100644 v1.yaml diff --git a/fastsim-core/src/vehicle/database/schema_v1.rs b/fastsim-core/src/vehicle/database/schema_v1.rs index 362e4edcb..a8b371c60 100644 --- a/fastsim-core/src/vehicle/database/schema_v1.rs +++ b/fastsim-core/src/vehicle/database/schema_v1.rs @@ -3,12 +3,14 @@ use super::*; /// Database organizational schema version 1 for the `fastsim-vehicles` repository. /// /// Serializes to/from the path-segment string: -/// `v1/fastsim-{fastsim_version}/{make}/{model}/{year}/{variant}/v{revision}` +/// `v1/fastsim-{fastsim_version}/{powertrain}/{make}/{model}/{year}/{variant}/v{revision}` #[derive(Debug, Clone, PartialEq, Serialize, Deserialize)] #[serde(into = "String", try_from = "String")] pub struct DatabaseSchemaV1 { /// FASTSim version pub fastsim_version: u32, + /// Powertrain type (e.g., "conv", "hev", "phev", "bev") + pub powertrain: String, /// Vehicle make pub make: String, /// Vehicle model (may include trim information) @@ -48,8 +50,8 @@ impl std::str::FromStr for DatabaseSchemaV1 { fn from_str(s: &str) -> anyhow::Result { let parts: Vec<&str> = s.split('/').collect(); ensure!( - parts.len() == 7, - "expected 7 path segments, got {}: {s:?}", + parts.len() == 8, + "expected 8 path segments, got {}: {s:?}", parts.len() ); ensure!( @@ -62,17 +64,19 @@ impl std::str::FromStr for DatabaseSchemaV1 { .ok_or_else(|| anyhow!("expected 'fastsim-N' segment, got {:?}", parts[1]))? .parse::() .with_context(|| format!("invalid FASTSim version in {:?}", parts[1]))?; - let make = parts[2].to_string(); - let model = parts[3].to_string(); - let year = parts[4].to_string(); - let variant = parts[5].to_string(); - let revision = parts[6] + let powertrain = parts[2].to_string(); + let make = parts[3].to_string(); + let model = parts[4].to_string(); + let year = parts[5].to_string(); + let variant = parts[6].to_string(); + let revision = parts[7] .strip_prefix('v') - .ok_or_else(|| anyhow!("expected 'vN' revision segment, got {:?}", parts[6]))? + .ok_or_else(|| anyhow!("expected 'vN' revision segment, got {:?}", parts[7]))? .parse::() - .with_context(|| format!("invalid revision in {:?}", parts[6]))?; + .with_context(|| format!("invalid revision in {:?}", parts[7]))?; Ok(Self { fastsim_version, + powertrain, make, model, year, @@ -93,11 +97,12 @@ impl DatabaseSchemaV1 { /// Construct a schema, validating that no field contains a `/`. /// /// # Errors - /// Returns an error if `make`, `model`, `year`, or `variant` contains a `/`, + /// Returns an error if `powertrain`, `make`, `model`, `year`, or `variant` contains a `/`, /// since that would corrupt the path-segment serialization and cause it to /// misparse (or fail to parse) on the way back in. pub fn new( fastsim_version: u32, + powertrain: String, make: String, model: String, year: String, @@ -105,6 +110,7 @@ impl DatabaseSchemaV1 { revision: u32, ) -> anyhow::Result { for (field, value) in [ + ("powertrain", &powertrain), ("make", &make), ("model", &model), ("year", &year), @@ -117,6 +123,7 @@ impl DatabaseSchemaV1 { } Ok(Self { fastsim_version, + powertrain, make, model, year, @@ -125,13 +132,14 @@ impl DatabaseSchemaV1 { }) } - /// Build the ordered path segments as a 7-element array (without file extension). + /// Build the ordered path segments as an 8-element array (without file extension). /// - /// Returns: `["v1", "fastsim-{N}", make, model, year, variant, "v{N}"]` - fn path_segments(&self) -> [String; 7] { + /// Returns: `["v1", "fastsim-{N}", powertrain, make, model, year, variant, "v{N}"]` + fn path_segments(&self) -> [String; 8] { [ "v1".to_string(), format!("fastsim-{}", self.fastsim_version), + self.powertrain.clone(), self.make.clone(), self.model.clone(), self.year.clone(), @@ -165,6 +173,7 @@ impl Vehicle { pub fn from_db_local_v1( base_dir: &std::path::Path, fastsim_version: u32, + powertrain: &str, make: &str, model: &str, year: &str, @@ -175,6 +184,7 @@ impl Vehicle { ) -> anyhow::Result { let schema = DatabaseSchemaV1::new( fastsim_version, + powertrain.to_string(), make.to_string(), model.to_string(), year.to_string(), @@ -200,6 +210,7 @@ impl Vehicle { pub fn from_db_remote_v1( url: Option<&str>, fastsim_version: u32, + powertrain: &str, make: &str, model: &str, year: &str, @@ -210,6 +221,7 @@ impl Vehicle { ) -> anyhow::Result { let schema = DatabaseSchemaV1::new( fastsim_version, + powertrain.to_string(), make.to_string(), model.to_string(), year.to_string(), @@ -238,6 +250,7 @@ mod tests { fn sample_schema() -> DatabaseSchemaV1 { DatabaseSchemaV1::new( 3, + "conv".to_string(), "ford".to_string(), "fusion".to_string(), "2012".to_string(), @@ -250,7 +263,7 @@ mod tests { fn test_serde_round_trip() { let schema = sample_schema(); let serialized = serde_json::to_string(&schema).unwrap(); - assert_eq!(serialized, "\"v1/fastsim-3/ford/fusion/2012/base/v1\""); + assert_eq!(serialized, "\"v1/fastsim-3/conv/ford/fusion/2012/base/v1\""); let deserialized: DatabaseSchemaV1 = serde_json::from_str(&serialized).unwrap(); assert_eq!(deserialized, schema); } @@ -260,23 +273,23 @@ mod tests { let schema = sample_schema(); assert_eq!( String::from(schema), - "v1/fastsim-3/ford/fusion/2012/base/v1" + "v1/fastsim-3/conv/ford/fusion/2012/base/v1" ); } #[test] fn test_from_str() { - let s = "v1/fastsim-3/ford/fusion/2012/base/v1"; + let s = "v1/fastsim-3/conv/ford/fusion/2012/base/v1"; let schema = DatabaseSchemaV1::from_str(s).unwrap(); assert_eq!(schema, sample_schema()); } #[test] fn test_from_str_errors() { - assert!(DatabaseSchemaV1::from_str("v2/fastsim-3/ford/fusion/2012/base/v1").is_err()); - assert!(DatabaseSchemaV1::from_str("v1/fastsim-3/ford/fusion/2012/base").is_err()); - assert!(DatabaseSchemaV1::from_str("v1/bad-3/ford/fusion/2012/base/v1").is_err()); - assert!(DatabaseSchemaV1::from_str("v1/fastsim-3/ford/fusion/2012/base/1").is_err()); + assert!(DatabaseSchemaV1::from_str("v2/fastsim-3/conv/ford/fusion/2012/base/v1").is_err()); + assert!(DatabaseSchemaV1::from_str("v1/fastsim-3/conv/ford/fusion/2012/base").is_err()); + assert!(DatabaseSchemaV1::from_str("v1/bad-3/conv/ford/fusion/2012/base/v1").is_err()); + assert!(DatabaseSchemaV1::from_str("v1/fastsim-3/conv/ford/fusion/2012/base/1").is_err()); } #[test] @@ -284,7 +297,7 @@ mod tests { let base = std::path::Path::new("/tmp/vehicles-db"); let schema = sample_schema(); let actual = schema.build_filepath(base, "yaml").unwrap(); - let expected = base.join("v1/fastsim-3/ford/fusion/2012/base/v1.yaml"); + let expected = base.join("v1/fastsim-3/conv/ford/fusion/2012/base/v1.yaml"); assert_eq!(actual, expected); } @@ -293,7 +306,7 @@ mod tests { let schema = sample_schema(); let actual = schema.build_url(DEFAULT_DB_URL, "yaml").unwrap(); let expected = - "https://raw.githubusercontent.com/NatLabRockies/fastsim-vehicles/main/v1/fastsim-3/ford/fusion/2012/base/v1.yaml" + "https://raw.githubusercontent.com/NatLabRockies/fastsim-vehicles/main/v1/fastsim-3/conv/ford/fusion/2012/base/v1.yaml" .to_string(); assert_eq!(actual, expected); } @@ -305,6 +318,7 @@ mod tests { assert!(Vehicle::from_db_remote_v1( None, schema.fastsim_version, + &schema.powertrain, &schema.make, &schema.model, &schema.year, diff --git a/fastsim-core/src/vehicle/vehicle_model.rs b/fastsim-core/src/vehicle/vehicle_model.rs index 22cbfe383..ccf773cba 100644 --- a/fastsim-core/src/vehicle/vehicle_model.rs +++ b/fastsim-core/src/vehicle/vehicle_model.rs @@ -138,6 +138,7 @@ impl Vehicle { #[pyo3(signature = ( db_path, fastsim_version, + powertrain, make, model, year, @@ -149,6 +150,7 @@ impl Vehicle { fn from_db_local_v1_py( db_path: PathBuf, fastsim_version: u32, + powertrain: &str, make: &str, model: &str, year: &str, @@ -160,6 +162,7 @@ impl Vehicle { Self::from_db_local_v1( &db_path, fastsim_version, + powertrain, make, model, year, @@ -176,6 +179,7 @@ impl Vehicle { #[pyo3(signature = ( db_url, fastsim_version, + powertrain, make, model, year, @@ -187,6 +191,7 @@ impl Vehicle { fn from_db_remote_v1_py( db_url: Option<&str>, fastsim_version: u32, + powertrain: &str, make: &str, model: &str, year: &str, @@ -198,6 +203,7 @@ impl Vehicle { Self::from_db_remote_v1( db_url, fastsim_version, + powertrain, make, model, year, diff --git a/python/fastsim/__init__.py b/python/fastsim/__init__.py index a63f0d590..52b64191f 100644 --- a/python/fastsim/__init__.py +++ b/python/fastsim/__init__.py @@ -317,13 +317,14 @@ def _vehicle_from_db( raise ValueError(f"Unsupported schema: {schema}. Only schema=1 is currently supported.") if schema == 1: - required = ("make", "model", "year", "revision") + required = ("powertrain", "make", "model", "year", "revision") missing = [key for key in required if key not in kwargs] if missing: raise TypeError(f"Missing required kwargs: {', '.join(missing)}") skip_init = bool(kwargs.get("skip_init", False)) fastsim_version = int(kwargs.get("fastsim_version", __version__.split(".", 1)[0].strip())) + powertrain = str(kwargs["powertrain"]) make = kwargs["make"] model = kwargs["model"] year = kwargs["year"] @@ -342,6 +343,7 @@ def _vehicle_from_db( return cls.from_db_remote_v1( None, fastsim_version, + powertrain, make, model, year, @@ -354,6 +356,7 @@ def _vehicle_from_db( return cls.from_db_remote_v1( db_path_or_url, fastsim_version, + powertrain, make, model, year, @@ -367,6 +370,7 @@ def _vehicle_from_db( return cls.from_db_local_v1( local_db_path, fastsim_version, + powertrain, make, model, year, diff --git a/python/fastsim/fastsim.pyi b/python/fastsim/fastsim.pyi index b74bc6bbc..b9f9012f4 100644 --- a/python/fastsim/fastsim.pyi +++ b/python/fastsim/fastsim.pyi @@ -146,6 +146,7 @@ class Vehicle(SerdeAPI): cls, db_path: str | Path, fastsim_version: int, + powertrain: str, make: str, model: str, year: str, @@ -159,6 +160,7 @@ class Vehicle(SerdeAPI): cls, db_url: str | None, fastsim_version: int, + powertrain: str, make: str, model: str, year: str, diff --git a/v1.yaml b/v1.yaml deleted file mode 100644 index 222d43e13..000000000 --- a/v1.yaml +++ /dev/null @@ -1,216 +0,0 @@ ---- -name: 2012 Ford Fusion -min_fastsim_version: 3.1.0 -db_path: v1/fastsim-3/ford/fusion/2012/base/v1 -doc: ~ -year: "2012" -make: ~ -model: ~ -pt_type: - Conv: - fs: - pwr_out_max_watts: 1000000.0 - pwr_ramp_lag_seconds: 1.0 - energy_capacity_joules: 2124000000.0 - specific_energy_joules_per_kilogram: 43200000.0 - mass_kilograms: ~ - fc: - thrml: None - mass_kilograms: ~ - specific_pwr_watts_per_kilogram: ~ - pwr_out_max_watts: 130500.0 - pwr_out_max_init_watts: 21750.0 - pwr_ramp_lag_seconds: 6.0 - eff_interp_from_pwr_out: - data: - grid: - - v: 1 - dim: - - 12 - data: - - 0.0 - - 0.005 - - 0.015 - - 0.04 - - 0.06 - - 0.1 - - 0.14 - - 0.2 - - 0.4 - - 0.6 - - 0.8 - - 1.0 - values: - v: 1 - dim: - - 12 - data: - - 0.1 - - 0.12 - - 0.16 - - 0.22 - - 0.28 - - 0.33 - - 0.35 - - 0.36 - - 0.35 - - 0.34 - - 0.32 - - 0.3 - strategy: Linear - extrapolate: Error - pwr_idle_fuel_watts: 0.0 - state: - i: 0 - pwr_out_max_watts: 0.0 - pwr_prop_max_watts: 0.0 - eff: 0.0 - pwr_prop_watts: 0.0 - energy_prop_joules: 0.0 - pwr_aux_watts: 0.0 - energy_aux_joules: 0.0 - pwr_fuel_watts: 0.0 - energy_fuel_joules: 0.0 - pwr_loss_watts: 0.0 - energy_loss_joules: 0.0 - fc_on: false - time_on_seconds: 0.0 - history: - i: [] - pwr_out_max_watts: [] - pwr_prop_max_watts: [] - eff: [] - pwr_prop_watts: [] - energy_prop_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_fuel_watts: [] - energy_fuel_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] - fc_on: [] - time_on_seconds: [] - save_interval: 1 - transmission: - mass_kilograms: ~ - eff_interp: 0.875 - state: - i: 0 - pwr_out_fwd_max_watts: 0.0 - pwr_out_regen_max_watts: 0.0 - eff: 0.0 - pwr_out_watts: 0.0 - energy_out_joules: 0.0 - pwr_in_watts: 0.0 - energy_in_joules: 0.0 - pwr_loss_watts: 0.0 - energy_loss_joules: 0.0 - history: - i: [] - pwr_out_fwd_max_watts: [] - pwr_out_regen_max_watts: [] - eff: [] - pwr_out_watts: [] - energy_out_joules: [] - pwr_in_watts: [] - energy_in_joules: [] - pwr_loss_watts: [] - energy_loss_joules: [] - save_interval: 1 - pt_cntrl: Normal - dfco_cntrl: - dfco_enabled: false - minimum_dfco_speed_meters_per_second: 0.0 - minimum_dfco_deceleration_meters_per_second_squared: 0.0 - save_interval: ~ - state: - i: 0 - vehicle_dynamics_prevent_dfco: false - history: - i: [] - vehicle_dynamics_prevent_dfco: [] - mass_kilograms: ~ - alt_eff: 1.0 -chassis: - drag_coef: 0.393 - frontal_area_square_meters: 2.12 - wheel_rr_coef: 0.007 - wheel_inertia_kilogram_square_meters: 0.82 - num_wheels: 4 - wheel_radius_meters: 0.326 - tire_code: ~ - cg_height_meters: 0.53 - wheel_fric_coef: 0.7 - drive_type: FWD - drive_axle_weight_frac: 0.59 - wheel_base_meters: 2.72 - mass_kilograms: ~ - glider_mass_kilograms: 791.0702892 - cargo_mass_kilograms: 136.0 -cabin: None -hvac: None -mass_kilograms: 1644.2724500334996 -pwr_aux_base_watts: 700.0 -save_interval: 1 -state: - i: 0 - time_seconds: 0.0 - pwr_prop_fwd_max_watts: 0.0 - speed_trac_fwd_max_meters_per_second: 0.0 - pwr_prop_bwd_max_watts: 0.0 - pwr_tractive_watts: 0.0 - pwr_tractive_for_cyc_watts: 0.0 - energy_tractive_joules: 0.0 - pwr_aux_watts: 0.0 - energy_aux_joules: 0.0 - pwr_drag_watts: 0.0 - energy_drag_joules: 0.0 - pwr_accel_watts: 0.0 - energy_accel_joules: 0.0 - pwr_ascent_watts: 0.0 - energy_ascent_joules: 0.0 - pwr_rr_watts: 0.0 - energy_rr_joules: 0.0 - pwr_whl_inertia_watts: 0.0 - energy_whl_inertia_joules: 0.0 - pwr_brake_watts: 0.0 - energy_brake_joules: 0.0 - cyc_met: true - cyc_met_overall: true - speed_ach_meters_per_second: 0.0 - dist_meters: 0.0 - grade_curr: 0.0 - elev_curr_meters: 0.0 - air_density_kilograms_per_cubic_meter: 0.0 - mass_kilograms: .nan -history: - i: [] - time_seconds: [] - pwr_prop_fwd_max_watts: [] - speed_trac_fwd_max_meters_per_second: [] - pwr_prop_bwd_max_watts: [] - pwr_tractive_watts: [] - pwr_tractive_for_cyc_watts: [] - energy_tractive_joules: [] - pwr_aux_watts: [] - energy_aux_joules: [] - pwr_drag_watts: [] - energy_drag_joules: [] - pwr_accel_watts: [] - energy_accel_joules: [] - pwr_ascent_watts: [] - energy_ascent_joules: [] - pwr_rr_watts: [] - energy_rr_joules: [] - pwr_whl_inertia_watts: [] - energy_whl_inertia_joules: [] - pwr_brake_watts: [] - energy_brake_joules: [] - cyc_met: [] - cyc_met_overall: [] - speed_ach_meters_per_second: [] - dist_meters: [] - grade_curr: [] - elev_curr_meters: [] - air_density_kilograms_per_cubic_meter: [] - mass_kilograms: [] From c59e92c82fe3ed21f91833e1de1e0544693b7c9a Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Thu, 16 Jul 2026 21:44:04 -0600 Subject: [PATCH 49/67] allow to_pydict on empty histories --- fastsim-core/src/vehicle/database/schema_v1.rs | 3 ++- python/fastsim/__init__.py | 7 +++---- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/fastsim-core/src/vehicle/database/schema_v1.rs b/fastsim-core/src/vehicle/database/schema_v1.rs index a8b371c60..9965b6162 100644 --- a/fastsim-core/src/vehicle/database/schema_v1.rs +++ b/fastsim-core/src/vehicle/database/schema_v1.rs @@ -256,7 +256,8 @@ mod tests { "2012".to_string(), "base".to_string(), 1, - ).unwrap() + ) + .unwrap() } #[test] diff --git a/python/fastsim/__init__.py b/python/fastsim/__init__.py index 52b64191f..66caa606d 100644 --- a/python/fastsim/__init__.py +++ b/python/fastsim/__init__.py @@ -124,7 +124,6 @@ def to_pydict(self, data_fmt: str = "msg_pack", flatten: bool = False) -> dict: return cast(dict[Any, Any], pydict) else: hist_len = get_hist_len(pydict) - assert hist_len is not None, "Cannot be flattened" flat_dict = get_flattened(pydict, hist_len) return flat_dict @@ -153,7 +152,7 @@ def get_hist_len(obj: dict) -> int | None: return None -def get_flattened(obj: dict | list, hist_len: int, prepend_str: str = "") -> dict: +def get_flattened(obj: dict | list, hist_len: int | None, prepend_str: str = "") -> dict: """ Flatten and return dictionary, separating keys and indices with a `"."` @@ -166,14 +165,14 @@ def get_flattened(obj: dict | list, hist_len: int, prepend_str: str = "") -> dic if isinstance(obj, dict): for k, v in obj.items(): new_key = k if (prepend_str == "") else prepend_str + "." + k - if isinstance(v, dict) or (isinstance(v, list) and len(v) != hist_len): + if isinstance(v, dict) or (isinstance(v, list) and hist_len is not None and len(v) != hist_len): flat.update(get_flattened(v, hist_len, prepend_str=new_key)) else: flat[new_key] = v elif isinstance(obj, list): for i, v in enumerate(obj): new_key = i if (prepend_str == "") else prepend_str + "." + f"[{i}]" - if isinstance(v, dict) or (isinstance(v, list) and len(v) != hist_len): + if isinstance(v, dict) or (isinstance(v, list) and hist_len is not None and len(v) != hist_len): flat.update(get_flattened(v, hist_len, prepend_str=new_key)) else: flat[new_key] = v From 60a12f0e9c1e17bd13dc2552d42d1ad74eeae4fe Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Thu, 16 Jul 2026 22:09:29 -0600 Subject: [PATCH 50/67] allow path to be specified in from_db --- .../src/vehicle/database/schema_v1.rs | 81 ++++++++++++++----- fastsim-core/src/vehicle/vehicle_model.rs | 58 +++++++++++-- python/fastsim/__init__.py | 58 +++++++------ python/fastsim/fastsim.pyi | 28 +++++-- 4 files changed, 166 insertions(+), 59 deletions(-) diff --git a/fastsim-core/src/vehicle/database/schema_v1.rs b/fastsim-core/src/vehicle/database/schema_v1.rs index 9965b6162..8f47d8f13 100644 --- a/fastsim-core/src/vehicle/database/schema_v1.rs +++ b/fastsim-core/src/vehicle/database/schema_v1.rs @@ -158,10 +158,10 @@ impl DatabaseSchemaV1 { } /// Build a remote URL with the given extension. - pub fn build_url(&self, base_url: &str, extension: &str) -> anyhow::Result { + pub fn build_url(&self, base_url: Option<&str>, extension: &str) -> anyhow::Result { Ok(format!( "{}/{}.{}", - base_url.trim_end_matches('/'), + base_url.map(|s| s.trim_end_matches('/')).unwrap_or(DEFAULT_DB_URL), self, extension )) @@ -169,8 +169,38 @@ impl DatabaseSchemaV1 { } impl Vehicle { + pub fn from_schema_local_v1( + base_dir: &std::path::Path, + schema: DatabaseSchemaV1, + extension: &str, + skip_init: bool, + ) -> anyhow::Result { + let path = schema.build_filepath(base_dir, extension)?; + let mut veh = Self::from_file(path.clone(), skip_init).map_err(|err| { + anyhow!( + "{}: from_schema_local_v1 failed for path '{}': {err}", + format_dbg!(), + path.display() + ) + })?; + if !skip_init { + veh.init()?; + } + Ok(veh) + } + + pub fn from_db_local_path_str_v1( + base_dir: &std::path::Path, + path: &str, + extension: &str, + skip_init: bool, + ) -> anyhow::Result { + let schema = DatabaseSchemaV1::from_str(path)?; + Self::from_schema_local_v1(base_dir, schema, extension, skip_init) + } + /// Load a vehicle from a local database directory. - pub fn from_db_local_v1( + pub fn from_db_local_fields_v1( base_dir: &std::path::Path, fastsim_version: u32, powertrain: &str, @@ -191,12 +221,22 @@ impl Vehicle { variant.to_string(), revision, )?; - let path = schema.build_filepath(base_dir, extension)?; - let mut veh = Self::from_file(path.clone(), skip_init).map_err(|err| { + Self::from_schema_local_v1(base_dir, schema, extension, skip_init) + } + + #[cfg(feature = "web")] + pub fn from_schema_remote_v1( + url: Option<&str>, + schema: DatabaseSchemaV1, + extension: &str, + skip_init: bool, + ) -> anyhow::Result { + let resolved_url = schema.build_url(url, extension)?; + let mut veh = Self::from_url(resolved_url.clone(), skip_init).map_err(|err| { anyhow!( - "{}: from_db_local_v1 failed for path '{}': {err}", + "{}: from_schema_remote_v1 failed for URL '{}': {err}", format_dbg!(), - path.display() + resolved_url ) })?; if !skip_init { @@ -205,9 +245,19 @@ impl Vehicle { Ok(veh) } + pub fn from_db_remote_path_str_v1( + url: Option<&str>, + path: &str, + extension: &str, + skip_init: bool, + ) -> anyhow::Result { + let schema = DatabaseSchemaV1::from_str(path)?; + Self::from_schema_remote_v1(url, schema, extension, skip_init) + } + /// Load a vehicle from a remote database URL (requires `web` feature). #[cfg(feature = "web")] - pub fn from_db_remote_v1( + pub fn from_db_remote_fields_v1( url: Option<&str>, fastsim_version: u32, powertrain: &str, @@ -228,18 +278,7 @@ impl Vehicle { variant.to_string(), revision, )?; - let resolved_url = schema.build_url(url.unwrap_or(DEFAULT_DB_URL), extension)?; - let mut veh = Self::from_url(resolved_url.clone(), skip_init).map_err(|err| { - anyhow!( - "{}: from_db_remote_v1 failed for URL '{}': {err}", - format_dbg!(), - resolved_url - ) - })?; - if !skip_init { - veh.init()?; - } - Ok(veh) + Self::from_schema_remote_v1(url, schema, extension, skip_init) } } @@ -305,7 +344,7 @@ mod tests { #[test] fn test_build_url_output() { let schema = sample_schema(); - let actual = schema.build_url(DEFAULT_DB_URL, "yaml").unwrap(); + let actual = schema.build_url(None, "yaml").unwrap(); let expected = "https://raw.githubusercontent.com/NatLabRockies/fastsim-vehicles/main/v1/fastsim-3/conv/ford/fusion/2012/base/v1.yaml" .to_string(); diff --git a/fastsim-core/src/vehicle/vehicle_model.rs b/fastsim-core/src/vehicle/vehicle_model.rs index 859ea979a..d43f45857 100644 --- a/fastsim-core/src/vehicle/vehicle_model.rs +++ b/fastsim-core/src/vehicle/vehicle_model.rs @@ -133,7 +133,29 @@ impl Vehicle { Self::from_f2_file(file) } - #[pyo3(name = "from_db_local_v1")] + #[pyo3(name = "from_db_local_path_str_v1")] + #[staticmethod] + #[pyo3(signature = ( + db_path, + path, + extension, + skip_init=false, + ))] + fn from_db_local_path_str_v1_py( + db_path: PathBuf, + path: &str, + extension: &str, + skip_init: bool, + ) -> anyhow::Result { + Self::from_db_local_path_str_v1( + &db_path, + path, + extension, + skip_init, + ) + } + + #[pyo3(name = "from_db_local_fields_v1")] #[staticmethod] #[pyo3(signature = ( db_path, @@ -147,7 +169,7 @@ impl Vehicle { extension, skip_init=false, ))] - fn from_db_local_v1_py( + fn from_db_local_fields_v1_py( db_path: PathBuf, fastsim_version: u32, powertrain: &str, @@ -159,7 +181,7 @@ impl Vehicle { extension: &str, skip_init: bool, ) -> anyhow::Result { - Self::from_db_local_v1( + Self::from_db_local_fields_v1( &db_path, fastsim_version, powertrain, @@ -173,8 +195,32 @@ impl Vehicle { ) } + + + #[pyo3(name = "from_db_remote_path_str_v1")] + #[staticmethod] + #[pyo3(signature = ( + url, + path, + extension, + skip_init=false, + ))] + fn from_db_remote_path_str_v1_py( + url: Option<&str>, + path: &str, + extension: &str, + skip_init: bool, + ) -> anyhow::Result { + Self::from_db_remote_path_str_v1( + url, + path, + extension, + skip_init, + ) + } + #[cfg(feature = "web")] - #[pyo3(name = "from_db_remote_v1")] + #[pyo3(name = "from_db_remote_fields_v1")] #[staticmethod] #[pyo3(signature = ( db_url, @@ -188,7 +234,7 @@ impl Vehicle { extension, skip_init=false, ))] - fn from_db_remote_v1_py( + fn from_db_remote_fields_v1_py( db_url: Option<&str>, fastsim_version: u32, powertrain: &str, @@ -200,7 +246,7 @@ impl Vehicle { extension: &str, skip_init: bool, ) -> anyhow::Result { - Self::from_db_remote_v1( + Self::from_db_remote_fields_v1( db_url, fastsim_version, powertrain, diff --git a/python/fastsim/__init__.py b/python/fastsim/__init__.py index 66caa606d..dae786832 100644 --- a/python/fastsim/__init__.py +++ b/python/fastsim/__init__.py @@ -316,12 +316,37 @@ def _vehicle_from_db( raise ValueError(f"Unsupported schema: {schema}. Only schema=1 is currently supported.") if schema == 1: + skip_init = bool(kwargs.get("skip_init", False)) + extension = str(kwargs.get("extension", "yaml")) + is_remote = db_path_or_url is None or str(db_path_or_url).startswith(("http://", "https://")) + + # Path-string mode: caller passes a pre-serialized schema path string + if "path" in kwargs: + path = str(kwargs["path"]) + if is_remote: + if not hasattr(cls, "from_db_remote_path_str_v1"): + raise RuntimeError("Remote DB loading requires FASTSim built with the `web` feature.") + return cls.from_db_remote_path_str_v1( + db_path_or_url, + path, + extension, + skip_init, + ) + else: + local_db_path = Path(db_path_or_url).expanduser() + return cls.from_db_local_path_str_v1( + local_db_path, + path, + extension, + skip_init, + ) + + # Fields mode: caller passes individual schema fields required = ("powertrain", "make", "model", "year", "revision") missing = [key for key in required if key not in kwargs] if missing: raise TypeError(f"Missing required kwargs: {', '.join(missing)}") - skip_init = bool(kwargs.get("skip_init", False)) fastsim_version = int(kwargs.get("fastsim_version", __version__.split(".", 1)[0].strip())) powertrain = str(kwargs["powertrain"]) make = kwargs["make"] @@ -329,30 +354,11 @@ def _vehicle_from_db( year = kwargs["year"] variant = str(kwargs.get("variant", "base")) revision = int(str(kwargs["revision"]).strip().removeprefix("v").removeprefix("V")) - extension = kwargs.get("extension", "yaml") - - if not hasattr(cls, "from_db_remote_v1") and ( - db_path_or_url is None - or str(db_path_or_url).startswith("http://") - or str(db_path_or_url).startswith("https://") - ): - raise RuntimeError("Remote DB loading requires FASTSim built with the `web` feature.") - - if db_path_or_url is None: - return cls.from_db_remote_v1( - None, - fastsim_version, - powertrain, - make, - model, - year, - variant, - revision, - extension, - skip_init, - ) - elif db_path_or_url.startswith("http://") or db_path_or_url.startswith("https://"): - return cls.from_db_remote_v1( + + if is_remote: + if not hasattr(cls, "from_db_remote_fields_v1"): + raise RuntimeError("Remote DB loading requires FASTSim built with the `web` feature.") + return cls.from_db_remote_fields_v1( db_path_or_url, fastsim_version, powertrain, @@ -366,7 +372,7 @@ def _vehicle_from_db( ) else: local_db_path = Path(db_path_or_url).expanduser() - return cls.from_db_local_v1( + return cls.from_db_local_fields_v1( local_db_path, fastsim_version, powertrain, diff --git a/python/fastsim/fastsim.pyi b/python/fastsim/fastsim.pyi index b9f9012f4..e8b2d0082 100644 --- a/python/fastsim/fastsim.pyi +++ b/python/fastsim/fastsim.pyi @@ -142,7 +142,15 @@ class Vehicle(SerdeAPI): @classmethod def from_f2_file(cls, file_path: str | Path) -> Vehicle: ... @classmethod - def from_db_local_v1( + def from_db_local_path_str_v1( + cls, + db_path: str | Path, + path: str, + extension: str, + skip_init: bool = False, + ) -> Vehicle: ... + @classmethod + def from_db_local_fields_v1( cls, db_path: str | Path, fastsim_version: int, @@ -152,11 +160,19 @@ class Vehicle(SerdeAPI): year: str, variant: str, revision: int, - extension: str | None, - skip_init: bool, + extension: str, + skip_init: bool = False, ) -> Vehicle: ... @classmethod - def from_db_remote_v1( + def from_db_remote_path_str_v1( + cls, + url: str | None, + path: str, + extension: str, + skip_init: bool = False, + ) -> Vehicle: ... + @classmethod + def from_db_remote_fields_v1( cls, db_url: str | None, fastsim_version: int, @@ -166,8 +182,8 @@ class Vehicle(SerdeAPI): year: str, variant: str, revision: int, - extension: str | None, - skip_init: bool, + extension: str, + skip_init: bool = False, ) -> Vehicle: ... @classmethod def from_db( From ecd58da0852c8d630d46859202e70624c563b0f8 Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Thu, 16 Jul 2026 22:40:47 -0600 Subject: [PATCH 51/67] consolidate functions --- .../src/vehicle/database/schema_v1.rs | 240 +++++++++++------- fastsim-core/src/vehicle/vehicle_model.rs | 96 ++----- python/fastsim/__init__.py | 65 ++--- python/fastsim/fastsim.pyi | 30 +-- 4 files changed, 190 insertions(+), 241 deletions(-) diff --git a/fastsim-core/src/vehicle/database/schema_v1.rs b/fastsim-core/src/vehicle/database/schema_v1.rs index 8f47d8f13..aae9f2ad1 100644 --- a/fastsim-core/src/vehicle/database/schema_v1.rs +++ b/fastsim-core/src/vehicle/database/schema_v1.rs @@ -2,8 +2,17 @@ use super::*; /// Database organizational schema version 1 for the `fastsim-vehicles` repository. /// -/// Serializes to/from the path-segment string: -/// `v1/fastsim-{fastsim_version}/{powertrain}/{make}/{model}/{year}/{variant}/v{revision}` +/// Serializes to/from an 8-segment path-segment string, e.g. `"v1/fastsim-3/conv/ford/fusion/2012/base/v1"` +/// +/// Segments in order: +/// 1. `v1` — schema version marker +/// 2. `fastsim-{N}` — FASTSim version +/// 3. `{powertrain}` — powertrain type (e.g., "conv", "hev", "phev", "bev") +/// 4. `{make}` — vehicle make +/// 5. `{model}` — vehicle model (may include trim information) +/// 6. `{year}` — model year or year range +/// 7. `{variant}` — variant/feature configuration (e.g., "base") +/// 8. `v{N}` — model revision/version for corrections #[derive(Debug, Clone, PartialEq, Serialize, Deserialize)] #[serde(into = "String", try_from = "String")] pub struct DatabaseSchemaV1 { @@ -26,7 +35,7 @@ pub struct DatabaseSchemaV1 { impl std::fmt::Display for DatabaseSchemaV1 { /// Display the schema as its path-segment string representation. /// - /// Formats as: `v1/fastsim-{N}/make/model/year/variant/v{N}` + /// Formats as: `v1/fastsim-{N}/{powertrain}/{make}/{model}/{year}/{variant}/v{N}` fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { write!(f, "{}", self.path_segments().join("/")) } @@ -42,11 +51,14 @@ impl std::str::FromStr for DatabaseSchemaV1 { type Err = anyhow::Error; /// Parse a schema from its path-segment string representation. /// - /// Expected format: `v1/fastsim-{N}/make/model/year/variant/v{N}` + /// Expected format (8 segments): + /// `v1/fastsim-{N}/{powertrain}/{make}/{model}/{year}/{variant}/v{N}` /// /// # Errors - /// Returns an error if the string doesn't have exactly 7 segments, - /// is missing required prefixes ("v1", "fastsim-", "v"), or has invalid numbers. + /// Returns an error if: + /// - String doesn't have exactly 8 segments + /// - Missing required prefixes ("v1" at start, "fastsim-" in segment 2, "v" in segment 8) + /// - Version numbers (fastsim_version or revision) are not valid u32 values fn from_str(s: &str) -> anyhow::Result { let parts: Vec<&str> = s.split('/').collect(); ensure!( @@ -74,7 +86,7 @@ impl std::str::FromStr for DatabaseSchemaV1 { .ok_or_else(|| anyhow!("expected 'vN' revision segment, got {:?}", parts[7]))? .parse::() .with_context(|| format!("invalid revision in {:?}", parts[7]))?; - Ok(Self { + Self::new( fastsim_version, powertrain, make, @@ -82,7 +94,7 @@ impl std::str::FromStr for DatabaseSchemaV1 { year, variant, revision, - }) + ) } } @@ -134,7 +146,15 @@ impl DatabaseSchemaV1 { /// Build the ordered path segments as an 8-element array (without file extension). /// - /// Returns: `["v1", "fastsim-{N}", powertrain, make, model, year, variant, "v{N}"]` + /// Returns in order: + /// 1. "v1" — schema version marker + /// 2. "fastsim-{N}" — FASTSim version + /// 3. powertrain — e.g., "conv", "hev", "phev", "bev" + /// 4. make — e.g., "ford", "tesla" + /// 5. model — e.g., "fusion", "model-3" + /// 6. year — e.g., "2012", "2020" + /// 7. variant — e.g., "base", "trim-package" + /// 8. "v{N}" — revision/version number fn path_segments(&self) -> [String; 8] { [ "v1".to_string(), @@ -148,7 +168,9 @@ impl DatabaseSchemaV1 { ] } - /// Build a local file path with the given extension. + /// Build a local file path by joining the schema's path-segment string with a base directory and extension. + /// + /// Example: `base_dir/v1/fastsim-3/conv/ford/fusion/2012/base/v1.yaml` pub fn build_filepath( &self, base_dir: &std::path::Path, @@ -157,11 +179,16 @@ impl DatabaseSchemaV1 { Ok(base_dir.join(format!("{}.{}", self, extension))) } - /// Build a remote URL with the given extension. + /// Build a remote URL by joining the schema's path-segment string with a base URL and extension. + /// + /// If `base_url` is None, uses the default GitHub raw content URL. + /// Example: `https://raw.githubusercontent.com/.../v1/fastsim-3/conv/ford/fusion/2012/base/v1.yaml` pub fn build_url(&self, base_url: Option<&str>, extension: &str) -> anyhow::Result { Ok(format!( "{}/{}.{}", - base_url.map(|s| s.trim_end_matches('/')).unwrap_or(DEFAULT_DB_URL), + base_url + .map(|s| s.trim_end_matches('/')) + .unwrap_or(DEFAULT_DB_URL), self, extension )) @@ -169,96 +196,111 @@ impl DatabaseSchemaV1 { } impl Vehicle { - pub fn from_schema_local_v1( - base_dir: &std::path::Path, + /// Load a vehicle from a database schema (v1). + /// + /// This is the unified core loading function that handles both local and remote databases. + /// Local/remote detection is automatic based on the `db_path_or_url` parameter: + /// - `None` or URLs starting with `http://`/`https://` → remote loading + /// - File paths or other strings → local file loading + /// + /// The schema determines which vehicle file to load: + /// - Schema path: `v1/fastsim-{ver}/{powertrain}/{make}/{model}/{year}/{variant}/v{rev}` + /// - Local file: `{db_path_or_url}/v1/fastsim-.../v{rev}.{extension}` + /// - Remote URL: `{db_path_or_url}/v1/fastsim-.../v{rev}.{extension}` + /// + /// # Parameters + /// - `db_path_or_url`: Database root path (local) or base URL (remote), or `None` for default remote + /// - `schema`: Parsed or constructed `DatabaseSchemaV1` object + /// - `extension`: File extension (typically "yaml" or "json") + /// - `skip_init`: If false, runs vehicle initialization after loading + pub fn from_db_schema_v1( + db_path_or_url: Option<&str>, schema: DatabaseSchemaV1, extension: &str, skip_init: bool, ) -> anyhow::Result { - let path = schema.build_filepath(base_dir, extension)?; - let mut veh = Self::from_file(path.clone(), skip_init).map_err(|err| { - anyhow!( - "{}: from_schema_local_v1 failed for path '{}': {err}", - format_dbg!(), - path.display() - ) - })?; - if !skip_init { - veh.init()?; - } - Ok(veh) - } + let is_remote = db_path_or_url + .map(|u| u.starts_with("http://") || u.starts_with("https://")) + .unwrap_or(true); - pub fn from_db_local_path_str_v1( - base_dir: &std::path::Path, - path: &str, - extension: &str, - skip_init: bool, - ) -> anyhow::Result { - let schema = DatabaseSchemaV1::from_str(path)?; - Self::from_schema_local_v1(base_dir, schema, extension, skip_init) - } + let mut veh = if is_remote { + #[cfg(feature = "web")] + { + let resolved_url = schema.build_url(db_path_or_url, extension)?; + Self::from_url(resolved_url.clone(), skip_init).map_err(|err| { + anyhow!( + "{}: from_db_schema_v1 failed for URL '{}': {err}", + format_dbg!(), + resolved_url + ) + })? + } + #[cfg(not(feature = "web"))] + { + anyhow::bail!("Remote DB loading requires FASTSim built with the `web` feature") + } + } else { + let db_path = std::path::PathBuf::from(db_path_or_url.unwrap()); + let path = schema.build_filepath(&db_path, extension)?; + Self::from_file(path.clone(), skip_init).map_err(|err| { + anyhow!( + "{}: from_db_schema_v1 failed for path '{}': {err}", + format_dbg!(), + path.display() + ) + })? + }; - /// Load a vehicle from a local database directory. - pub fn from_db_local_fields_v1( - base_dir: &std::path::Path, - fastsim_version: u32, - powertrain: &str, - make: &str, - model: &str, - year: &str, - variant: &str, - revision: u32, - extension: &str, - skip_init: bool, - ) -> anyhow::Result { - let schema = DatabaseSchemaV1::new( - fastsim_version, - powertrain.to_string(), - make.to_string(), - model.to_string(), - year.to_string(), - variant.to_string(), - revision, - )?; - Self::from_schema_local_v1(base_dir, schema, extension, skip_init) - } - - #[cfg(feature = "web")] - pub fn from_schema_remote_v1( - url: Option<&str>, - schema: DatabaseSchemaV1, - extension: &str, - skip_init: bool, - ) -> anyhow::Result { - let resolved_url = schema.build_url(url, extension)?; - let mut veh = Self::from_url(resolved_url.clone(), skip_init).map_err(|err| { - anyhow!( - "{}: from_schema_remote_v1 failed for URL '{}': {err}", - format_dbg!(), - resolved_url - ) - })?; if !skip_init { veh.init()?; } Ok(veh) } - pub fn from_db_remote_path_str_v1( - url: Option<&str>, + /// Load a vehicle using a pre-serialized schema path string. + /// + /// Convenience wrapper that parses the path string into a `DatabaseSchemaV1` schema object + /// and delegates to `from_db_schema_v1` for loading. + /// + /// # Parameters + /// - `db_path_or_url`: Database root (local path or remote base URL) + /// - `path`: Full schema path string: `v1/fastsim-{ver}/{powertrain}/{make}/{model}/{year}/{variant}/v{rev}` + /// - `extension`: File extension (typically "yaml") + /// - `skip_init`: If false, runs vehicle initialization + /// + /// # Errors + /// Returns an error if the path string cannot be parsed as a valid schema. + pub fn from_db_path_v1( + db_path_or_url: Option<&str>, path: &str, extension: &str, skip_init: bool, - ) -> anyhow::Result { + ) -> anyhow::Result { let schema = DatabaseSchemaV1::from_str(path)?; - Self::from_schema_remote_v1(url, schema, extension, skip_init) + Self::from_db_schema_v1(db_path_or_url, schema, extension, skip_init) } - /// Load a vehicle from a remote database URL (requires `web` feature). - #[cfg(feature = "web")] - pub fn from_db_remote_fields_v1( - url: Option<&str>, + /// Load a vehicle using individual schema fields. + /// + /// Convenience wrapper that constructs a `DatabaseSchemaV1` schema object from individual + /// fields and delegates to `from_db_schema_v1` for loading. + /// + /// # Parameters + /// - `db_path_or_url`: Database root (local path or remote base URL) + /// - `fastsim_version`: FASTSim version (e.g., 3) + /// - `powertrain`: Powertrain type (e.g., "conv", "hev", "phev", "bev") + /// - `make`: Vehicle make (e.g., "ford", "tesla") + /// - `model`: Vehicle model (e.g., "fusion", "model-3") + /// - `year`: Model year or range (e.g., "2012", "2020-2023") + /// - `variant`: Variant descriptor (e.g., "base") + /// - `revision`: Model revision number + /// - `extension`: File extension (typically "yaml") + /// - `skip_init`: If false, runs vehicle initialization + /// + /// # Errors + /// Returns an error if any field contains a `/` character or if file/URL loading fails. + pub fn from_db_fields_v1( + db_path_or_url: Option<&str>, fastsim_version: u32, powertrain: &str, make: &str, @@ -268,7 +310,7 @@ impl Vehicle { revision: u32, extension: &str, skip_init: bool, - ) -> anyhow::Result { + ) -> anyhow::Result { let schema = DatabaseSchemaV1::new( fastsim_version, powertrain.to_string(), @@ -278,7 +320,7 @@ impl Vehicle { variant.to_string(), revision, )?; - Self::from_schema_remote_v1(url, schema, extension, skip_init) + Self::from_db_schema_v1(db_path_or_url, schema, extension, skip_init) } } @@ -332,6 +374,30 @@ mod tests { assert!(DatabaseSchemaV1::from_str("v1/fastsim-3/conv/ford/fusion/2012/base/1").is_err()); } + #[test] + fn test_new_rejects_slash_in_fields() { + assert!(DatabaseSchemaV1::new( + 3, + "conv".to_string(), + "ford".to_string(), + "f-150/raptor".to_string(), + "2012".to_string(), + "base".to_string(), + 1, + ) + .is_err()); + assert!(DatabaseSchemaV1::new( + 3, + "conv".to_string(), + "ford".to_string(), + "fusion".to_string(), + "2012".to_string(), + "base/trim".to_string(), + 1, + ) + .is_err()); + } + #[test] fn test_build_filepath_output() { let base = std::path::Path::new("/tmp/vehicles-db"); @@ -355,7 +421,7 @@ mod tests { #[cfg(feature = "web")] fn test_from_db_remote_v1() { let schema = sample_schema(); - assert!(Vehicle::from_db_remote_v1( + assert!(Vehicle::from_db_fields_v1( None, schema.fastsim_version, &schema.powertrain, diff --git a/fastsim-core/src/vehicle/vehicle_model.rs b/fastsim-core/src/vehicle/vehicle_model.rs index d43f45857..9ba7dbac0 100644 --- a/fastsim-core/src/vehicle/vehicle_model.rs +++ b/fastsim-core/src/vehicle/vehicle_model.rs @@ -133,97 +133,31 @@ impl Vehicle { Self::from_f2_file(file) } - #[pyo3(name = "from_db_local_path_str_v1")] + /// Load from schema v1 using a pre-serialized path string. + /// Auto-detects local vs remote based on db_path_or_url. + #[pyo3(name = "from_db_path_v1")] #[staticmethod] #[pyo3(signature = ( - db_path, + db_path_or_url, path, extension, skip_init=false, ))] - fn from_db_local_path_str_v1_py( - db_path: PathBuf, + fn from_db_path_v1_py( + db_path_or_url: Option<&str>, path: &str, extension: &str, skip_init: bool, ) -> anyhow::Result { - Self::from_db_local_path_str_v1( - &db_path, - path, - extension, - skip_init, - ) - } - - #[pyo3(name = "from_db_local_fields_v1")] - #[staticmethod] - #[pyo3(signature = ( - db_path, - fastsim_version, - powertrain, - make, - model, - year, - variant, - revision, - extension, - skip_init=false, - ))] - fn from_db_local_fields_v1_py( - db_path: PathBuf, - fastsim_version: u32, - powertrain: &str, - make: &str, - model: &str, - year: &str, - variant: &str, - revision: u32, - extension: &str, - skip_init: bool, - ) -> anyhow::Result { - Self::from_db_local_fields_v1( - &db_path, - fastsim_version, - powertrain, - make, - model, - year, - variant, - revision, - extension, - skip_init, - ) - } - - - - #[pyo3(name = "from_db_remote_path_str_v1")] - #[staticmethod] - #[pyo3(signature = ( - url, - path, - extension, - skip_init=false, - ))] - fn from_db_remote_path_str_v1_py( - url: Option<&str>, - path: &str, - extension: &str, - skip_init: bool, - ) -> anyhow::Result { - Self::from_db_remote_path_str_v1( - url, - path, - extension, - skip_init, - ) + Self::from_db_path_v1(db_path_or_url, path, extension, skip_init) } - #[cfg(feature = "web")] - #[pyo3(name = "from_db_remote_fields_v1")] + /// Load from schema v1 using individual fields. + /// Auto-detects local vs remote based on db_path_or_url. + #[pyo3(name = "from_db_fields_v1")] #[staticmethod] #[pyo3(signature = ( - db_url, + db_path_or_url, fastsim_version, powertrain, make, @@ -234,8 +168,8 @@ impl Vehicle { extension, skip_init=false, ))] - fn from_db_remote_fields_v1_py( - db_url: Option<&str>, + fn from_db_fields_v1_py( + db_path_or_url: Option<&str>, fastsim_version: u32, powertrain: &str, make: &str, @@ -246,8 +180,8 @@ impl Vehicle { extension: &str, skip_init: bool, ) -> anyhow::Result { - Self::from_db_remote_fields_v1( - db_url, + Self::from_db_fields_v1( + db_path_or_url, fastsim_version, powertrain, make, diff --git a/python/fastsim/__init__.py b/python/fastsim/__init__.py index dae786832..c21e828ae 100644 --- a/python/fastsim/__init__.py +++ b/python/fastsim/__init__.py @@ -318,28 +318,16 @@ def _vehicle_from_db( if schema == 1: skip_init = bool(kwargs.get("skip_init", False)) extension = str(kwargs.get("extension", "yaml")) - is_remote = db_path_or_url is None or str(db_path_or_url).startswith(("http://", "https://")) # Path-string mode: caller passes a pre-serialized schema path string if "path" in kwargs: path = str(kwargs["path"]) - if is_remote: - if not hasattr(cls, "from_db_remote_path_str_v1"): - raise RuntimeError("Remote DB loading requires FASTSim built with the `web` feature.") - return cls.from_db_remote_path_str_v1( - db_path_or_url, - path, - extension, - skip_init, - ) - else: - local_db_path = Path(db_path_or_url).expanduser() - return cls.from_db_local_path_str_v1( - local_db_path, - path, - extension, - skip_init, - ) + return cls.from_db_path_v1( + db_path_or_url, + path, + extension, + skip_init, + ) # Fields mode: caller passes individual schema fields required = ("powertrain", "make", "model", "year", "revision") @@ -355,35 +343,18 @@ def _vehicle_from_db( variant = str(kwargs.get("variant", "base")) revision = int(str(kwargs["revision"]).strip().removeprefix("v").removeprefix("V")) - if is_remote: - if not hasattr(cls, "from_db_remote_fields_v1"): - raise RuntimeError("Remote DB loading requires FASTSim built with the `web` feature.") - return cls.from_db_remote_fields_v1( - db_path_or_url, - fastsim_version, - powertrain, - make, - model, - year, - variant, - revision, - extension, - skip_init, - ) - else: - local_db_path = Path(db_path_or_url).expanduser() - return cls.from_db_local_fields_v1( - local_db_path, - fastsim_version, - powertrain, - make, - model, - year, - variant, - revision, - extension, - skip_init, - ) + return cls.from_db_fields_v1( + db_path_or_url, + fastsim_version, + powertrain, + make, + model, + year, + variant, + revision, + extension, + skip_init, + ) # adds variable_path_list() and history_path_list() as methods to all classes in # ACCEPTED_RUST_STRUCTS diff --git a/python/fastsim/fastsim.pyi b/python/fastsim/fastsim.pyi index e8b2d0082..08222e8fc 100644 --- a/python/fastsim/fastsim.pyi +++ b/python/fastsim/fastsim.pyi @@ -142,39 +142,17 @@ class Vehicle(SerdeAPI): @classmethod def from_f2_file(cls, file_path: str | Path) -> Vehicle: ... @classmethod - def from_db_local_path_str_v1( + def from_db_path_v1( cls, - db_path: str | Path, + db_path_or_url: str | None, path: str, extension: str, skip_init: bool = False, ) -> Vehicle: ... @classmethod - def from_db_local_fields_v1( + def from_db_fields_v1( cls, - db_path: str | Path, - fastsim_version: int, - powertrain: str, - make: str, - model: str, - year: str, - variant: str, - revision: int, - extension: str, - skip_init: bool = False, - ) -> Vehicle: ... - @classmethod - def from_db_remote_path_str_v1( - cls, - url: str | None, - path: str, - extension: str, - skip_init: bool = False, - ) -> Vehicle: ... - @classmethod - def from_db_remote_fields_v1( - cls, - db_url: str | None, + db_path_or_url: str | None, fastsim_version: int, powertrain: str, make: str, From 591f2e1c873cf7d65db55f32e69eebfdf44aa439 Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Thu, 16 Jul 2026 22:48:08 -0600 Subject: [PATCH 52/67] update docstring --- python/fastsim/fastsim.pyi | 46 +++++++++++++++++++++++++------------- 1 file changed, 31 insertions(+), 15 deletions(-) diff --git a/python/fastsim/fastsim.pyi b/python/fastsim/fastsim.pyi index 08222e8fc..221a89b2e 100644 --- a/python/fastsim/fastsim.pyi +++ b/python/fastsim/fastsim.pyi @@ -176,33 +176,49 @@ class Vehicle(SerdeAPI): Parameters ---------- db_path_or_url : str | None, default None - Database source selector. + Database source selector (auto-detects local vs. remote): - - ``None``: load vehicle from https://github.com/NatLabRockies/fastsim-vehicles. - - ``"http://..."`` or ``"https://..."``: use remote database loading, - e.g. "https://raw.githubusercontent.com/...". - - any other string: treat as a local filesystem database path. + - ``None``: load from default remote database + (https://github.com/NatLabRockies/fastsim-vehicles) + - ``"http://..."`` or ``"https://..."``: load from remote database base URL + - any other string: treat as local filesystem database path schema : int, default 1 Database schema version. Currently only ``schema=1`` is supported. **kwargs Valid kwargs for ``schema=1``: - - ``make`` (str): vehicle make, e.g. ``"Ford"`` - - ``model`` (str): vehicle model, e.g. ``"F-150"`` - - ``year`` (str): vehicle model year, e.g. ``"2022"`` - - ``variant`` (str, optional): vehicle variant, e.g. ``"base"``. Defaults to ``"base"``. - - ``revision`` (int): model revision, e.g. ``1`` - - ``extension`` (str, optional): file extension, e.g. ``"yaml"``. Defaults to ``"yaml"``. - - ``fastsim_version`` (int, optional): FASTSim version namespace. - Defaults to the installed FASTSim major version (e.g. ``3``). - - ``skip_init`` (bool, optional): forwarded to Rust loader, defaults to - ``False``. + + **Path-string mode** (alternative to individual fields): + - ``path`` (str): full schema path string, e.g. + ``"v1/fastsim-3/conv/ford/fusion/2012/base/v1"`` + + **Individual fields mode** (required if ``path`` not provided): + - ``powertrain`` (str): powertrain type, e.g. ``"conv"``, ``"hev"``, ``"phev"``, ``"bev"`` + - ``make`` (str): vehicle make, e.g. ``"Ford"``, ``"Tesla"`` + - ``model`` (str): vehicle model, e.g. ``"F-150"``, ``"Model-3"`` + - ``year`` (str): vehicle model year or range, e.g. ``"2022"``, ``"2020-2023"`` + - ``revision`` (str): model revision number, e.g. ``v1``. + - ``variant`` (str, optional): variant descriptor, e.g. ``"base"``. + Defaults to ``"base"``. + - ``extension`` (str, optional): file extension, e.g. ``"yaml"``, ``"json"``. + Defaults to ``"yaml"``. + - ``fastsim_version`` (int, optional): Major FASTSim version. + Defaults to the installed FASTSim major version (e.g. ``3``). + - ``skip_init`` (bool, optional): if False, runs vehicle initialization after loading. + Defaults to ``False``. Returns ------- Vehicle Loaded vehicle instance. + + Raises + ------ + ValueError + If ``schema`` is not 1 or if required fields are missing. + RuntimeError + If remote loading is requested but web feature is not enabled. """ ... def clear(self) -> None: ... From 4dd71ebb4225b6cab2640b98db15dc901c4cae4d Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Thu, 16 Jul 2026 23:04:48 -0600 Subject: [PATCH 53/67] added ability to handle ~ path from Rust --- Cargo.lock | 25 +++++++++++++++++++ fastsim-core/Cargo.toml | 1 + .../src/vehicle/database/schema_v1.rs | 14 ++++++++++- 3 files changed, 39 insertions(+), 1 deletion(-) diff --git a/Cargo.lock b/Cargo.lock index 6b25519d8..4eebd652f 100644 --- a/Cargo.lock +++ b/Cargo.lock @@ -586,6 +586,7 @@ dependencies = [ "eng_fmt", "fastsim-core 0.1.11", "fastsim-proc-macros 3.1.0", + "home", "include_dir", "itertools 0.12.1", "lazy_static", @@ -773,6 +774,15 @@ dependencies = [ "digest", ] +[[package]] +name = "home" +version = "0.5.12" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "cc627f471c528ff0c4a49e1d5e60450c8f6461dd6d10ba9dcd3a61d3dff7728d" +dependencies = [ + "windows-sys 0.61.2", +] + [[package]] name = "http" version = "0.2.12" @@ -2416,6 +2426,12 @@ version = "0.4.0" source = "registry+https://github.com/rust-lang/crates.io-index" checksum = "712e227841d057c1ee1cd2fb22fa7e5a5461ae8e48fa2ca79ec42cfc1931183f" +[[package]] +name = "windows-link" +version = "0.2.1" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "f0805222e57f7521d6a62e36fa9163bc891acd422f971defe97d64e70d0a4fe5" + [[package]] name = "windows-sys" version = "0.48.0" @@ -2443,6 +2459,15 @@ dependencies = [ "windows-targets 0.52.6", ] +[[package]] +name = "windows-sys" +version = "0.61.2" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "ae137229bcbd6cdf0f7b80a31df61766145077ddf49416a728b02cb3921ff3fc" +dependencies = [ + "windows-link", +] + [[package]] name = "windows-targets" version = "0.48.5" diff --git a/fastsim-core/Cargo.toml b/fastsim-core/Cargo.toml index 6675380a0..8cb57a274 100644 --- a/fastsim-core/Cargo.toml +++ b/fastsim-core/Cargo.toml @@ -26,6 +26,7 @@ easy-ext = "1.0.0" rayon = "1.5.3" document-features = { workspace = true } anyhow = { workspace = true } +home = "0.5.9" readonly = "0.2.3" duplicate = "0.4.1" nohash-hasher = "0.2.0" diff --git a/fastsim-core/src/vehicle/database/schema_v1.rs b/fastsim-core/src/vehicle/database/schema_v1.rs index aae9f2ad1..94ac93fea 100644 --- a/fastsim-core/src/vehicle/database/schema_v1.rs +++ b/fastsim-core/src/vehicle/database/schema_v1.rs @@ -240,7 +240,19 @@ impl Vehicle { anyhow::bail!("Remote DB loading requires FASTSim built with the `web` feature") } } else { - let db_path = std::path::PathBuf::from(db_path_or_url.unwrap()); + let db_path_str = db_path_or_url.unwrap(); + // Expand ~ to home directory (cross-platform) + let expanded = if db_path_str.starts_with("~/") { + match home::home_dir() { + Some(home_path) => { + format!("{}{}", home_path.display(), &db_path_str[1..]) + } + None => db_path_str.to_string(), + } + } else { + db_path_str.to_string() + }; + let db_path = std::path::PathBuf::from(expanded); let path = schema.build_filepath(&db_path, extension)?; Self::from_file(path.clone(), skip_init).map_err(|err| { anyhow!( From a9dea52348a58ebae5b22945051dea355254ad81 Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Thu, 16 Jul 2026 23:29:50 -0600 Subject: [PATCH 54/67] remove old history len check --- python/fastsim/__init__.py | 1 - 1 file changed, 1 deletion(-) diff --git a/python/fastsim/__init__.py b/python/fastsim/__init__.py index c21e828ae..b85f58159 100644 --- a/python/fastsim/__init__.py +++ b/python/fastsim/__init__.py @@ -228,7 +228,6 @@ def to_dataframe( obj_dict = self.to_pydict(flatten=True) history_keys = ["history.", "cyc."] hist_len = get_hist_len(obj_dict) - assert hist_len is not None history_dict: dict[str, Any] = {} for k, v in obj_dict.items(): From 85e03fba6626de9e8889876511167d2517a4f68c Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Thu, 16 Jul 2026 23:51:44 -0600 Subject: [PATCH 55/67] to_dataframe defaults to backend=pandas, pandas=False default deprecated --- docs/content/getting-started.ipynb | 4 +-- docs/content/old/advanced_coasting.ipynb | 2 +- docs/content/old/basic_coasting.ipynb | 2 +- docs/content/old/bev.ipynb | 2 +- docs/content/old/bev_thrml_cs_ca.ipynb | 2 +- docs/content/old/bev_thrml_ws_ca.ipynb | 2 +- docs/content/old/bev_thrml_ws_wa.ipynb | 2 +- docs/content/old/coast_with_grade.ipynb | 2 +- docs/content/old/conv.ipynb | 2 +- docs/content/old/cruise_and_coast.ipynb | 2 +- docs/content/old/dfco.ipynb | 4 +-- docs/content/old/eco_cruise.ipynb | 2 +- docs/content/old/hev.ipynb | 2 +- docs/content/old/hev_thrml_cs_ca.ipynb | 2 +- docs/content/old/hev_thrml_ws_ca.ipynb | 2 +- docs/content/old/hev_thrml_ws_wa.ipynb | 2 +- docs/content/old/maneuver_intro.ipynb | 2 +- docs/content/old/stop_start.ipynb | 6 ++-- docs/content/old/trace_miss.ipynb | 2 +- .../running-simulations/advanced/cavs.ipynb | 2 +- .../running-simulations/advanced/dfco.ipynb | 6 ++-- .../advanced/start-stop.ipynb | 8 ++--- .../advanced/thermal-simulations.ipynb | 4 +-- .../running-simulations/simdrive.ipynb | 4 +-- .../running-simulations/trace-miss.ipynb | 6 ++-- python/fastsim/__init__.py | 34 ++++++++++++++++--- python/fastsim/fastsim.pyi | 7 +++- 27 files changed, 73 insertions(+), 44 deletions(-) diff --git a/docs/content/getting-started.ipynb b/docs/content/getting-started.ipynb index 6239627ed..2797c8272 100644 --- a/docs/content/getting-started.ipynb +++ b/docs/content/getting-started.ipynb @@ -1059,7 +1059,7 @@ } ], "source": [ - "df = sd.to_dataframe(pandas=True)\n", + "df = sd.to_dataframe()\n", "print(f\"{len(df)} time steps, {len(df.columns)} columns. A few examples:\")\n", "print(df.columns.tolist()[:5])" ] @@ -3759,7 +3759,7 @@ } ], "source": [ - "df_heavy = sd_heavy.to_dataframe(pandas=True)\n", + "df_heavy = sd_heavy.to_dataframe()\n", "\n", "ORIGINAL_COLOR = \"#0072B2\"\n", "HEAVY_COLOR = \"#56B4E9\"\n", diff --git a/docs/content/old/advanced_coasting.ipynb b/docs/content/old/advanced_coasting.ipynb index 4459e8f26..7cdbd23c1 100644 --- a/docs/content/old/advanced_coasting.ipynb +++ b/docs/content/old/advanced_coasting.ipynb @@ -154,7 +154,7 @@ "source": [ "if SHOW_PLOTS:\n", " c0 = cyc0.to_pydict()\n", - " df = sd.to_dataframe()\n", + " df = sd.to_dataframe(backend='polars')\n", " plot_speed_by_time(df, c0, title=\"Advanced Coasting\",\n", " save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)\n", " plot_speed_by_dist(df, c0, title=\"Advanced Coasting (distance)\",\n", diff --git a/docs/content/old/basic_coasting.ipynb b/docs/content/old/basic_coasting.ipynb index c4d263bce..1b06487a9 100644 --- a/docs/content/old/basic_coasting.ipynb +++ b/docs/content/old/basic_coasting.ipynb @@ -152,7 +152,7 @@ "source": [ "if SHOW_PLOTS:\n", " c0 = cyc0.to_pydict()\n", - " df = sd.to_dataframe()\n", + " df = sd.to_dataframe(backend='polars')\n", " plot_speed_by_time(df, c0, title=f\"Coasting from {coast_speed_mps} m/s\",\n", " save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)\n", " plot_speed_by_dist(df, c0, title=f\"Coasting from {coast_speed_mps} m/s (distance)\",\n", diff --git a/docs/content/old/bev.ipynb b/docs/content/old/bev.ipynb index 269c7d6e9..6b44df8cf 100644 --- a/docs/content/old/bev.ipynb +++ b/docs/content/old/bev.ipynb @@ -81,7 +81,7 @@ "sd = fsim.SimDrive(veh, cyc)\n", "sd.walk()\n", "\n", - "df = sd.to_dataframe()\n", + "df = sd.to_dataframe(backend='polars')\n", "sd_dict = sd.to_pydict(flatten=True)" ] }, diff --git a/docs/content/old/bev_thrml_cs_ca.ipynb b/docs/content/old/bev_thrml_cs_ca.ipynb index a1a92cbf7..8173ed782 100644 --- a/docs/content/old/bev_thrml_cs_ca.ipynb +++ b/docs/content/old/bev_thrml_cs_ca.ipynb @@ -105,7 +105,7 @@ "sd = fsim.SimDrive(veh, cyc)\n", "sd.walk()\n", "\n", - "df = sd.to_dataframe()\n", + "df = sd.to_dataframe(backend='polars')\n", "sd_dict = sd.to_pydict(flatten=True)" ] }, diff --git a/docs/content/old/bev_thrml_ws_ca.ipynb b/docs/content/old/bev_thrml_ws_ca.ipynb index b94f4700b..d010b71ba 100644 --- a/docs/content/old/bev_thrml_ws_ca.ipynb +++ b/docs/content/old/bev_thrml_ws_ca.ipynb @@ -106,7 +106,7 @@ "sd = fsim.SimDrive(veh, cyc)\n", "sd.walk()\n", "\n", - "df = sd.to_dataframe()\n", + "df = sd.to_dataframe(backend='polars')\n", "sd_dict = sd.to_pydict(flatten=True)" ] }, diff --git a/docs/content/old/bev_thrml_ws_wa.ipynb b/docs/content/old/bev_thrml_ws_wa.ipynb index b44d94947..083a83039 100644 --- a/docs/content/old/bev_thrml_ws_wa.ipynb +++ b/docs/content/old/bev_thrml_ws_wa.ipynb @@ -106,7 +106,7 @@ "sd = fsim.SimDrive(veh, cyc)\n", "sd.walk()\n", "\n", - "df = sd.to_dataframe()\n", + "df = sd.to_dataframe(backend='polars')\n", "sd_dict = sd.to_pydict(flatten=True)" ] }, diff --git a/docs/content/old/coast_with_grade.ipynb b/docs/content/old/coast_with_grade.ipynb index 9750913eb..108c2ce28 100644 --- a/docs/content/old/coast_with_grade.ipynb +++ b/docs/content/old/coast_with_grade.ipynb @@ -163,7 +163,7 @@ "source": [ "if SHOW_PLOTS:\n", " c0 = cyc0.to_pydict()\n", - " df = sd.to_dataframe()\n", + " df = sd.to_dataframe(backend='polars')\n", " plot_speed_by_time(df, c0, title=\"Coast with Grade\", with_elevation=True,\n", " save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)\n", " plot_speed_by_dist(df, c0, title=\"Coast with Grade (distance)\", with_elevation=True,\n", diff --git a/docs/content/old/conv.ipynb b/docs/content/old/conv.ipynb index 371463363..8f1e219d3 100644 --- a/docs/content/old/conv.ipynb +++ b/docs/content/old/conv.ipynb @@ -81,7 +81,7 @@ "sd = fsim.SimDrive(veh, cyc)\n", "sd.walk()\n", "\n", - "df = sd.to_dataframe()\n", + "df = sd.to_dataframe(backend='polars')\n", "sd_dict = sd.to_pydict(flatten=True)" ] }, diff --git a/docs/content/old/cruise_and_coast.ipynb b/docs/content/old/cruise_and_coast.ipynb index 9b69cac2b..bf55b6877 100644 --- a/docs/content/old/cruise_and_coast.ipynb +++ b/docs/content/old/cruise_and_coast.ipynb @@ -165,7 +165,7 @@ "source": [ "if SHOW_PLOTS:\n", " c0 = cyc0.to_pydict()\n", - " df = sd.to_dataframe()\n", + " df = sd.to_dataframe(backend='polars')\n", " is_coast = np.array(man.is_coasting()) * 5.0\n", " cd = cyc_for_coast.to_pydict()\n", " dist = cd[\"dist_meters\"]\n", diff --git a/docs/content/old/dfco.ipynb b/docs/content/old/dfco.ipynb index abe0aeb6b..477ccec34 100644 --- a/docs/content/old/dfco.ipynb +++ b/docs/content/old/dfco.ipynb @@ -83,7 +83,7 @@ "# instantiate `SimDrive` simulation object and run\n", "sd = fsim.SimDrive(veh, cyc)\n", "sd.walk()\n", - "df = sd.to_dataframe()" + "df = sd.to_dataframe(backend='polars')" ] }, { @@ -106,7 +106,7 @@ "\n", "sd_dfco = fsim.SimDrive(veh_dfco, cyc)\n", "sd_dfco.walk()\n", - "df_dfco = sd_dfco.to_dataframe()" + "df_dfco = sd_dfco.to_dataframe(backend='polars')" ] }, { diff --git a/docs/content/old/eco_cruise.ipynb b/docs/content/old/eco_cruise.ipynb index 2e9ca5531..42bf14bf6 100644 --- a/docs/content/old/eco_cruise.ipynb +++ b/docs/content/old/eco_cruise.ipynb @@ -157,7 +157,7 @@ "source": [ "if SHOW_PLOTS:\n", " c0 = cyc0.to_pydict()\n", - " df = sd.to_dataframe()\n", + " df = sd.to_dataframe(backend='polars')\n", " plot_speed_by_time(df, c0, title=\"Eco-Cruise (IDM)\",\n", " save_figs=SAVE_FIGS, show_plots=SHOW_PLOTS)\n", " plot_speed_by_dist(df, c0, title=\"Eco-Cruise (IDM, distance)\",\n", diff --git a/docs/content/old/hev.ipynb b/docs/content/old/hev.ipynb index 0c100e77c..3937a2f51 100644 --- a/docs/content/old/hev.ipynb +++ b/docs/content/old/hev.ipynb @@ -81,7 +81,7 @@ "sd = fsim.SimDrive(veh, cyc)\n", "sd.walk()\n", "\n", - "df = sd.to_dataframe()\n", + "df = sd.to_dataframe(backend='polars')\n", "sd_dict = sd.to_pydict(flatten=True)" ] }, diff --git a/docs/content/old/hev_thrml_cs_ca.ipynb b/docs/content/old/hev_thrml_cs_ca.ipynb index 12b194c8e..ee18b1a75 100644 --- a/docs/content/old/hev_thrml_cs_ca.ipynb +++ b/docs/content/old/hev_thrml_cs_ca.ipynb @@ -122,7 +122,7 @@ "sd = fsim.SimDrive(veh, cyc)\n", "sd.walk()\n", "\n", - "df = sd.to_dataframe()\n", + "df = sd.to_dataframe(backend='polars')\n", "sd_dict = sd.to_pydict(flatten=True)" ] }, diff --git a/docs/content/old/hev_thrml_ws_ca.ipynb b/docs/content/old/hev_thrml_ws_ca.ipynb index 75d7de4cb..76c655163 100644 --- a/docs/content/old/hev_thrml_ws_ca.ipynb +++ b/docs/content/old/hev_thrml_ws_ca.ipynb @@ -125,7 +125,7 @@ "sd = fsim.SimDrive(veh, cyc)\n", "sd.walk()\n", "\n", - "df = sd.to_dataframe()\n", + "df = sd.to_dataframe(backend='polars')\n", "sd_dict = sd.to_pydict(flatten=True)" ] }, diff --git a/docs/content/old/hev_thrml_ws_wa.ipynb b/docs/content/old/hev_thrml_ws_wa.ipynb index f361fdc00..aed661fb9 100644 --- a/docs/content/old/hev_thrml_ws_wa.ipynb +++ b/docs/content/old/hev_thrml_ws_wa.ipynb @@ -123,7 +123,7 @@ "sd = fsim.SimDrive(veh, cyc)\n", "sd.walk()\n", "\n", - "df = sd.to_dataframe()\n", + "df = sd.to_dataframe(backend='polars')\n", "sd_dict = sd.to_pydict(flatten=True)" ] }, diff --git a/docs/content/old/maneuver_intro.ipynb b/docs/content/old/maneuver_intro.ipynb index 8cf9706aa..3594430fe 100644 --- a/docs/content/old/maneuver_intro.ipynb +++ b/docs/content/old/maneuver_intro.ipynb @@ -240,7 +240,7 @@ ], "source": [ "if SHOW_PLOTS:\n", - " df = sd.to_dataframe()\n", + " df = sd.to_dataframe(backend='polars')\n", "\n", " fig, ax = plt.subplots(figsize=(10, 4))\n", " ax.plot(c0[\"time_seconds\"], c0[\"speed_meters_per_second\"], label=\"Original Cycle\")\n", diff --git a/docs/content/old/stop_start.ipynb b/docs/content/old/stop_start.ipynb index 98144432c..862bed8d5 100644 --- a/docs/content/old/stop_start.ipynb +++ b/docs/content/old/stop_start.ipynb @@ -85,7 +85,7 @@ "# instantiate `SimDrive` simulation object and run\n", "sd = fsim.SimDrive(veh, cyc)\n", "sd.walk()\n", - "df = sd.to_dataframe()" + "df = sd.to_dataframe(backend='polars')" ] }, { @@ -102,7 +102,7 @@ "\n", "sd_ss = fsim.SimDrive(veh_ss, cyc)\n", "sd_ss.walk()\n", - "df_ss = sd_ss.to_dataframe()" + "df_ss = sd_ss.to_dataframe(backend='polars')" ] }, { @@ -408,7 +408,7 @@ "veh_uhev = conv_to_micro_hybrid(veh)\n", "sd_uhev = fsim.SimDrive(veh_uhev, cyc)\n", "sd_uhev.walk()\n", - "df_uhev = sd_uhev.to_dataframe()" + "df_uhev = sd_uhev.to_dataframe(backend='polars')" ] }, { diff --git a/docs/content/old/trace_miss.ipynb b/docs/content/old/trace_miss.ipynb index 2808c01ba..a0fd49824 100644 --- a/docs/content/old/trace_miss.ipynb +++ b/docs/content/old/trace_miss.ipynb @@ -141,7 +141,7 @@ "source": [ "if SHOW_PLOTS:\n", " c0 = cyc0.to_pydict()\n", - " df = sd.to_dataframe()\n", + " df = sd.to_dataframe(backend='polars')\n", "\n", " fig, ax = plt.subplots(figsize=(10, 4))\n", " ax.plot(\n", diff --git a/docs/content/user-guide/running-simulations/advanced/cavs.ipynb b/docs/content/user-guide/running-simulations/advanced/cavs.ipynb index 7beb76a40..78c894aed 100644 --- a/docs/content/user-guide/running-simulations/advanced/cavs.ipynb +++ b/docs/content/user-guide/running-simulations/advanced/cavs.ipynb @@ -143,7 +143,7 @@ "\n", " sd = fastsim.SimDrive(veh, cyc_run)\n", " sd.walk()\n", - " df = sd.to_dataframe(pandas=True)\n", + " df = sd.to_dataframe()\n", "\n", " cyc_dict = cyc_run.to_pydict()\n", " dist_m = cyc_dict[\"dist_meters\"][-1]\n", diff --git a/docs/content/user-guide/running-simulations/advanced/dfco.ipynb b/docs/content/user-guide/running-simulations/advanced/dfco.ipynb index 7ab40de7e..594fd63be 100644 --- a/docs/content/user-guide/running-simulations/advanced/dfco.ipynb +++ b/docs/content/user-guide/running-simulations/advanced/dfco.ipynb @@ -55,7 +55,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": null, "id": "bfc730db", "metadata": {}, "outputs": [], @@ -71,7 +71,7 @@ ")\n", "sd = fastsim.SimDrive(veh, cyc)\n", "sd.walk()\n", - "df = sd.to_dataframe(pandas=True)\n", + "df = sd.to_dataframe()\n", "\n", "# DFCO case: enabled above 25 mph and during moderate deceleration\n", "veh_dfco = fastsim.Vehicle.from_resource(\"2012_Ford_Fusion.yaml\")\n", @@ -82,7 +82,7 @@ ")\n", "sd_dfco = fastsim.SimDrive(veh_dfco, cyc)\n", "sd_dfco.walk()\n", - "df_dfco = sd_dfco.to_dataframe(pandas=True)" + "df_dfco = sd_dfco.to_dataframe()" ] }, { diff --git a/docs/content/user-guide/running-simulations/advanced/start-stop.ipynb b/docs/content/user-guide/running-simulations/advanced/start-stop.ipynb index ebfbe97fa..ba33ec78a 100644 --- a/docs/content/user-guide/running-simulations/advanced/start-stop.ipynb +++ b/docs/content/user-guide/running-simulations/advanced/start-stop.ipynb @@ -62,7 +62,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": null, "id": "ca749cc4", "metadata": {}, "outputs": [], @@ -73,7 +73,7 @@ "\n", "sd = fastsim.SimDrive(veh, cyc)\n", "sd.walk()\n", - "df = sd.to_dataframe(pandas=True)\n", + "df = sd.to_dataframe()\n", "\n", "veh_ss = fastsim.Vehicle.from_resource(\"2012_Ford_Fusion.yaml\")\n", "veh_ss.use_stop_start_controller()\n", @@ -81,7 +81,7 @@ "\n", "sd_ss = fastsim.SimDrive(veh_ss, cyc)\n", "sd_ss.walk()\n", - "df_ss = sd_ss.to_dataframe(pandas=True)" + "df_ss = sd_ss.to_dataframe()" ] }, { @@ -405,7 +405,7 @@ "\n", "sd_uhev = fastsim.SimDrive(veh_uhev, cyc)\n", "sd_uhev.walk()\n", - "df_uhev = sd_uhev.to_dataframe(pandas=True)\n", + "df_uhev = sd_uhev.to_dataframe()\n", "\n", "fuel_uhev_mj = df_uhev[\"veh.pt_type.HEV.fc.history.energy_fuel_joules\"].iloc[-1] / 1e6\n", "gge_uhev_gal = fuel_uhev_mj / MJ_PER_GGE\n", diff --git a/docs/content/user-guide/running-simulations/advanced/thermal-simulations.ipynb b/docs/content/user-guide/running-simulations/advanced/thermal-simulations.ipynb index 5604f840e..77ce62958 100644 --- a/docs/content/user-guide/running-simulations/advanced/thermal-simulations.ipynb +++ b/docs/content/user-guide/running-simulations/advanced/thermal-simulations.ipynb @@ -117,7 +117,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": null, "id": "bc3d2473", "metadata": {}, "outputs": [], @@ -155,7 +155,7 @@ " # Run FASTSim and capture time histories for comparison.\n", " sd = fastsim.SimDrive(veh, cyc)\n", " sd.walk()\n", - " df = sd.to_dataframe(pandas=True)\n", + " df = sd.to_dataframe()\n", "\n", " # Compute cycle-level fuel economy from distance and cumulative fuel energy.\n", " distance_m = cyc_dict[\"dist_meters\"][-1]\n", diff --git a/docs/content/user-guide/running-simulations/simdrive.ipynb b/docs/content/user-guide/running-simulations/simdrive.ipynb index 315ec8290..80421e985 100644 --- a/docs/content/user-guide/running-simulations/simdrive.ipynb +++ b/docs/content/user-guide/running-simulations/simdrive.ipynb @@ -144,7 +144,7 @@ } ], "source": [ - "df = sd.to_dataframe(pandas=True)\n", + "df = sd.to_dataframe()\n", "print(f\"{len(df)} time steps, {len(df.columns)} columns\")\n", "print(\"\\nFirst few column names:\")\n", "print(df.columns.tolist()[:8])\n" @@ -1232,7 +1232,7 @@ } ], "source": [ - "sd_no_hist.to_dataframe(pandas=True)" + "sd_no_hist.to_dataframe()" ] }, { diff --git a/docs/content/user-guide/running-simulations/trace-miss.ipynb b/docs/content/user-guide/running-simulations/trace-miss.ipynb index 413ba9294..02e587026 100644 --- a/docs/content/user-guide/running-simulations/trace-miss.ipynb +++ b/docs/content/user-guide/running-simulations/trace-miss.ipynb @@ -138,7 +138,7 @@ "sd_allow = fastsim.SimDrive(veh_allow, cyc, fastsim.SimParams.from_pydict(params))\n", "sd_allow.walk()\n", "\n", - "df_allow = sd_allow.to_dataframe(pandas=True)\n", + "df_allow = sd_allow.to_dataframe()\n", "print(f\"Simulation completed without error. {len(df_allow)} time steps recorded.\")\n" ] }, @@ -183,7 +183,7 @@ "sd_checked = fastsim.SimDrive(veh_checked, cyc, fastsim.SimParams.from_pydict(params))\n", "sd_checked.walk()\n", "\n", - "df_checked = sd_checked.to_dataframe(pandas=True)\n", + "df_checked = sd_checked.to_dataframe()\n", "print(f\"Simulation with AllowChecked completed. {len(df_checked)} time steps recorded.\")\n" ] }, @@ -223,7 +223,7 @@ "sd_correct = fastsim.SimDrive(veh_correct, cyc, fastsim.SimParams.from_pydict(params))\n", "sd_correct.walk()\n", "\n", - "df_correct = sd_correct.to_dataframe(pandas=True)\n", + "df_correct = sd_correct.to_dataframe()\n", "print(f\"Simulation with correction completed. {len(df_correct)} time steps recorded.\")\n" ] }, diff --git a/python/fastsim/__init__.py b/python/fastsim/__init__.py index fc28818c7..b78d9f387 100644 --- a/python/fastsim/__init__.py +++ b/python/fastsim/__init__.py @@ -3,6 +3,7 @@ import inspect import re import sys +import warnings from importlib.metadata import version from pathlib import Path from typing import Any, Dict, List, Optional, Union, cast # noqa: UP035 @@ -215,17 +216,40 @@ def from_pydict(cls, pydict: dict, data_fmt: str = "msg_pack", skip_init: bool = def to_dataframe( self, - pandas: bool = False, + backend: str = "pandas", allow_partial: bool = False, + pandas: Optional[bool] = None, ) -> pd.DataFrame | pl.DataFrame: """ - Return time series results from fastsim object as a Polars or Pandas dataframe. + Return time series results from fastsim object as a pandas or polars dataframe. # Arguments - - `pandas`: returns pandas dataframe if True; otherwise, returns polars dataframe by default + - `backend`: dataframe backend, one of "pandas" (default) or "polars" - `allow_partial`: tries to return dataframe of length equal to solved time steps if simulation fails early + - `pandas`: deprecated alias for backend selection (`True`->"pandas", `False`->"polars") """ + if isinstance(backend, bool): + pandas = backend + backend = "pandas" if backend else "polars" + + backend = backend.lower() + if backend not in {"pandas", "polars"}: + raise ValueError("`backend` must be one of {'pandas', 'polars'}") + + if pandas is not None: + warnings.warn( + "`pandas` is deprecated for `to_dataframe`; use `backend='pandas'` or " + "`backend='polars'` instead.", + DeprecationWarning, + stacklevel=2, + ) + pandas_backend = "pandas" if pandas else "polars" + if backend != pandas_backend: + raise ValueError("Conflicting `backend` and deprecated `pandas` arguments") + + use_pandas = backend == "pandas" + obj_dict = self.to_pydict(flatten=True) history_keys = ["history.", "cyc."] hist_len = get_hist_len(obj_dict) @@ -241,7 +265,7 @@ def to_dataframe( cutoff = min(history_dict.values()) df: pl.DataFrame | pd.DataFrame - if not pandas: + if not use_pandas: try: df = pl.DataFrame({col: val[:cutoff] for col, val in history_dict.items()}) except Exception as err: @@ -253,7 +277,7 @@ def to_dataframe( raise Exception(f"{err}\n`save_interval` may not be uniform") else: - if not pandas: + if not use_pandas: try: df = pl.DataFrame(history_dict) except Exception as err: diff --git a/python/fastsim/fastsim.pyi b/python/fastsim/fastsim.pyi index 8a67b2b3a..33714cf68 100644 --- a/python/fastsim/fastsim.pyi +++ b/python/fastsim/fastsim.pyi @@ -2,6 +2,7 @@ from __future__ import annotations # noqa: I001 from typing import Self, Any from pathlib import Path import pandas as pd +import polars as pl class SerdeAPI: """Base class that provides serialization/deserialization and initialization methods.""" @@ -152,7 +153,11 @@ class SimDrive(SerdeAPI): def __new__(cls, veh: Vehicle, cyc: Cycle, sim_params: SimParams | None = None) -> SimDrive: ... def walk_once(self) -> bool: ... def walk(self) -> bool: ... - def to_dataframe(self, allow_partial: bool = False) -> pd.DataFrame: ... + def to_dataframe( + self, + backend: str = "pandas", + allow_partial: bool = False, + ) -> pd.DataFrame | pl.DataFrame: ... def to_fastsim2(self) -> Any: ... def clear(self) -> None: ... def reset(self) -> None: ... From 5ef2b4f4ce057545df47655af0c16ce1ea0068dd Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Thu, 16 Jul 2026 23:55:25 -0600 Subject: [PATCH 56/67] minor simdrive demo tweak --- .../running-simulations/simdrive.ipynb | 82 ++++--------------- 1 file changed, 15 insertions(+), 67 deletions(-) diff --git a/docs/content/user-guide/running-simulations/simdrive.ipynb b/docs/content/user-guide/running-simulations/simdrive.ipynb index 80421e985..00b25a2d8 100644 --- a/docs/content/user-guide/running-simulations/simdrive.ipynb +++ b/docs/content/user-guide/running-simulations/simdrive.ipynb @@ -18,7 +18,7 @@ }, { "cell_type": "code", - "execution_count": 89, + "execution_count": 1, "id": "2f32cae5", "metadata": {}, "outputs": [], @@ -42,7 +42,7 @@ }, { "cell_type": "code", - "execution_count": 90, + "execution_count": 2, "id": "ba374bb3", "metadata": {}, "outputs": [ @@ -89,7 +89,7 @@ }, { "cell_type": "code", - "execution_count": 91, + "execution_count": 3, "id": "7ad2067d", "metadata": {}, "outputs": [ @@ -128,7 +128,7 @@ }, { "cell_type": "code", - "execution_count": 92, + "execution_count": 4, "id": "428b2bf1", "metadata": {}, "outputs": [ @@ -161,7 +161,7 @@ }, { "cell_type": "code", - "execution_count": 93, + "execution_count": 5, "id": "2865d686", "metadata": {}, "outputs": [ @@ -1031,7 +1031,7 @@ }, { "cell_type": "code", - "execution_count": 94, + "execution_count": 6, "id": "72b276d4", "metadata": {}, "outputs": [ @@ -1041,7 +1041,7 @@ "True" ] }, - "execution_count": 94, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -1072,7 +1072,7 @@ }, { "cell_type": "code", - "execution_count": 95, + "execution_count": 7, "id": "24f077c6", "metadata": {}, "outputs": [ @@ -1128,7 +1128,7 @@ }, { "cell_type": "code", - "execution_count": 96, + "execution_count": 8, "id": "40d9148e", "metadata": {}, "outputs": [ @@ -1164,75 +1164,23 @@ }, { "cell_type": "code", - "execution_count": 97, + "execution_count": 9, "id": "9e7122aa", "metadata": {}, "outputs": [ { "data": { - "text/html": [ - "
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" - ], "text/plain": [ - "Empty DataFrame\n", - "Columns: [veh.pt_type.Conv.fc.history.i, veh.pt_type.Conv.fc.history.pwr_out_max_watts, veh.pt_type.Conv.fc.history.pwr_prop_max_watts, veh.pt_type.Conv.fc.history.eff, veh.pt_type.Conv.fc.history.pwr_prop_watts, veh.pt_type.Conv.fc.history.energy_prop_joules, veh.pt_type.Conv.fc.history.pwr_aux_watts, veh.pt_type.Conv.fc.history.energy_aux_joules, veh.pt_type.Conv.fc.history.pwr_fuel_watts, veh.pt_type.Conv.fc.history.energy_fuel_joules, veh.pt_type.Conv.fc.history.pwr_loss_watts, veh.pt_type.Conv.fc.history.energy_loss_joules, veh.pt_type.Conv.fc.history.fc_on, veh.pt_type.Conv.fc.history.time_on_seconds, veh.pt_type.Conv.transmission.history.i, veh.pt_type.Conv.transmission.history.pwr_out_fwd_max_watts, veh.pt_type.Conv.transmission.history.pwr_out_regen_max_watts, veh.pt_type.Conv.transmission.history.eff, veh.pt_type.Conv.transmission.history.pwr_out_watts, veh.pt_type.Conv.transmission.history.energy_out_joules, veh.pt_type.Conv.transmission.history.pwr_in_watts, veh.pt_type.Conv.transmission.history.energy_in_joules, veh.pt_type.Conv.transmission.history.pwr_loss_watts, veh.pt_type.Conv.transmission.history.energy_loss_joules, veh.pt_type.Conv.dfco_cntrl.history.i, veh.pt_type.Conv.dfco_cntrl.history.vehicle_dynamics_prevent_dfco, veh.history.i, veh.history.time_seconds, veh.history.pwr_prop_fwd_max_watts, veh.history.speed_trac_fwd_max_meters_per_second, veh.history.pwr_prop_bwd_max_watts, veh.history.pwr_tractive_watts, veh.history.pwr_tractive_for_cyc_watts, veh.history.energy_tractive_joules, veh.history.pwr_aux_watts, veh.history.energy_aux_joules, veh.history.pwr_drag_watts, veh.history.energy_drag_joules, veh.history.pwr_accel_watts, veh.history.energy_accel_joules, veh.history.pwr_ascent_watts, veh.history.energy_ascent_joules, veh.history.pwr_rr_watts, veh.history.energy_rr_joules, veh.history.pwr_whl_inertia_watts, veh.history.energy_whl_inertia_joules, veh.history.pwr_brake_watts, veh.history.energy_brake_joules, veh.history.cyc_met, veh.history.cyc_met_overall, veh.history.speed_ach_meters_per_second, veh.history.dist_meters, veh.history.grade_curr, veh.history.elev_curr_meters, veh.history.air_density_kilograms_per_cubic_meter, veh.history.mass_kilograms]\n", - "Index: []\n", - "\n", - "[0 rows x 56 columns]" + "True" ] }, - "execution_count": 97, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "sd_no_hist.to_dataframe()" + "sd_no_hist.to_dataframe().empty" ] }, { @@ -1255,7 +1203,7 @@ }, { "cell_type": "code", - "execution_count": 98, + "execution_count": 10, "id": "c96b0299", "metadata": {}, "outputs": [ @@ -1302,7 +1250,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "fastsim:dev (3.14.6)", "language": "python", "name": "python3" }, From db69c2c650540f348bd9e3ba8d57121cec6e4c51 Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Fri, 17 Jul 2026 01:01:46 -0600 Subject: [PATCH 57/67] allow extension in path input --- python/fastsim/__init__.py | 34 ++++++++++++++++++++++++++++------ 1 file changed, 28 insertions(+), 6 deletions(-) diff --git a/python/fastsim/__init__.py b/python/fastsim/__init__.py index f0eacbe3b..670bdad4e 100644 --- a/python/fastsim/__init__.py +++ b/python/fastsim/__init__.py @@ -345,12 +345,34 @@ def _vehicle_from_db( # Path-string mode: caller passes a pre-serialized schema path string if "path" in kwargs: path = str(kwargs["path"]) - return cls.from_db_path_v1( - db_path_or_url, - path, - extension, - skip_init, - ) + + # Check if path has a file extension (e.g., "v1/fastsim-3/.../v1.yaml") + last_segment = path.split("/")[-1] + has_extension = "." in last_segment + + if has_extension: + # User provided extension in the path + if "extension" in kwargs: + raise ValueError( + "Cannot specify extension both in path " + "and as a separate parameter. Use one or the other." + ) + # Extract extension and path + path, extension = path.rsplit(".", 1) + return cls.from_db_path_v1( + db_path_or_url, + path, + extension, + skip_init, + ) + else: + # Extension is passed separately (or defaults to "yaml") + return cls.from_db_path_v1( + db_path_or_url, + path, + extension, + skip_init, + ) # Fields mode: caller passes individual schema fields required = ("powertrain", "make", "model", "year", "revision") From 386a6230f77eb181555f8f06f36d2dbeecc4e883 Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Fri, 17 Jul 2026 01:12:11 -0600 Subject: [PATCH 58/67] simplify error message --- fastsim-core/src/vehicle/database/schema_v1.rs | 16 ++-------------- 1 file changed, 2 insertions(+), 14 deletions(-) diff --git a/fastsim-core/src/vehicle/database/schema_v1.rs b/fastsim-core/src/vehicle/database/schema_v1.rs index 94ac93fea..9bd834c5c 100644 --- a/fastsim-core/src/vehicle/database/schema_v1.rs +++ b/fastsim-core/src/vehicle/database/schema_v1.rs @@ -227,13 +227,7 @@ impl Vehicle { #[cfg(feature = "web")] { let resolved_url = schema.build_url(db_path_or_url, extension)?; - Self::from_url(resolved_url.clone(), skip_init).map_err(|err| { - anyhow!( - "{}: from_db_schema_v1 failed for URL '{}': {err}", - format_dbg!(), - resolved_url - ) - })? + Self::from_url(resolved_url, skip_init)? } #[cfg(not(feature = "web"))] { @@ -254,13 +248,7 @@ impl Vehicle { }; let db_path = std::path::PathBuf::from(expanded); let path = schema.build_filepath(&db_path, extension)?; - Self::from_file(path.clone(), skip_init).map_err(|err| { - anyhow!( - "{}: from_db_schema_v1 failed for path '{}': {err}", - format_dbg!(), - path.display() - ) - })? + Self::from_file(path, skip_init)? }; if !skip_init { From 82c2036a1f3cc861facee713cfe08626913c05bc Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Fri, 17 Jul 2026 09:37:01 -0600 Subject: [PATCH 59/67] make home expansion available for all from_file calls --- fastsim-core/src/traits/serde_api.rs | 13 +++++++++++- .../src/vehicle/database/schema_v1.rs | 21 ++++--------------- 2 files changed, 16 insertions(+), 18 deletions(-) diff --git a/fastsim-core/src/traits/serde_api.rs b/fastsim-core/src/traits/serde_api.rs index 71d4f6d38..db9ee8baf 100644 --- a/fastsim-core/src/traits/serde_api.rs +++ b/fastsim-core/src/traits/serde_api.rs @@ -135,13 +135,24 @@ pub trait SerdeAPI: Serialize + for<'a> Deserialize<'a> + Init { /// fn from_file>(filepath: P, skip_init: bool) -> Result { let filepath = filepath.as_ref(); + // Expand a leading `~` so all callers can pass shell-style home-relative paths. + let filepath = match filepath.to_str() { + Some("~") => home::home_dir().unwrap_or_else(|| filepath.to_path_buf()), + Some(path_str) if path_str.starts_with("~/") || path_str.starts_with("~\\") => { + match home::home_dir() { + Some(home_path) => home_path.join(&path_str[2..]), + None => filepath.to_path_buf(), + } + } + _ => filepath.to_path_buf(), + }; let extension = filepath .extension() .and_then(OsStr::to_str) .ok_or_else(|| { Error::SerdeError(format!("File extension could not be parsed: {filepath:?}")) })?; - let mut file = File::open(filepath) + let mut file = File::open(&filepath) .with_context(|| { if !filepath.exists() { format!("File not found: {filepath:?}") diff --git a/fastsim-core/src/vehicle/database/schema_v1.rs b/fastsim-core/src/vehicle/database/schema_v1.rs index 9bd834c5c..e0eebb03d 100644 --- a/fastsim-core/src/vehicle/database/schema_v1.rs +++ b/fastsim-core/src/vehicle/database/schema_v1.rs @@ -171,12 +171,12 @@ impl DatabaseSchemaV1 { /// Build a local file path by joining the schema's path-segment string with a base directory and extension. /// /// Example: `base_dir/v1/fastsim-3/conv/ford/fusion/2012/base/v1.yaml` - pub fn build_filepath( + pub fn build_filepath>( &self, - base_dir: &std::path::Path, + base_dir: P, extension: &str, ) -> anyhow::Result { - Ok(base_dir.join(format!("{}.{}", self, extension))) + Ok(base_dir.as_ref().join(format!("{}.{}", self, extension))) } /// Build a remote URL by joining the schema's path-segment string with a base URL and extension. @@ -234,20 +234,7 @@ impl Vehicle { anyhow::bail!("Remote DB loading requires FASTSim built with the `web` feature") } } else { - let db_path_str = db_path_or_url.unwrap(); - // Expand ~ to home directory (cross-platform) - let expanded = if db_path_str.starts_with("~/") { - match home::home_dir() { - Some(home_path) => { - format!("{}{}", home_path.display(), &db_path_str[1..]) - } - None => db_path_str.to_string(), - } - } else { - db_path_str.to_string() - }; - let db_path = std::path::PathBuf::from(expanded); - let path = schema.build_filepath(&db_path, extension)?; + let path = schema.build_filepath(db_path_or_url.unwrap(), extension)?; Self::from_file(path, skip_init)? }; From 74e479fc9b0d32c48016212a55c72590602b5be1 Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Fri, 17 Jul 2026 10:00:15 -0600 Subject: [PATCH 60/67] minor from_db tweak to make path loading more schema-agnostic (all schema info is encoded in the path) and relevant pyi change --- python/fastsim/__init__.py | 64 ++++++++++++++++---------------------- python/fastsim/fastsim.pyi | 36 ++++++++++++--------- 2 files changed, 47 insertions(+), 53 deletions(-) diff --git a/python/fastsim/__init__.py b/python/fastsim/__init__.py index 670bdad4e..216db400c 100644 --- a/python/fastsim/__init__.py +++ b/python/fastsim/__init__.py @@ -335,46 +335,32 @@ def _vehicle_from_db( schema: int = 1, **kwargs: Any, ) -> Self: - if schema != 1: - raise ValueError(f"Unsupported schema: {schema}. Only schema=1 is currently supported.") - - if schema == 1: - skip_init = bool(kwargs.get("skip_init", False)) - extension = str(kwargs.get("extension", "yaml")) - - # Path-string mode: caller passes a pre-serialized schema path string - if "path" in kwargs: - path = str(kwargs["path"]) - - # Check if path has a file extension (e.g., "v1/fastsim-3/.../v1.yaml") - last_segment = path.split("/")[-1] - has_extension = "." in last_segment - - if has_extension: - # User provided extension in the path - if "extension" in kwargs: - raise ValueError( - "Cannot specify extension both in path " - "and as a separate parameter. Use one or the other." - ) - # Extract extension and path - path, extension = path.rsplit(".", 1) - return cls.from_db_path_v1( - db_path_or_url, - path, - extension, - skip_init, - ) - else: - # Extension is passed separately (or defaults to "yaml") - return cls.from_db_path_v1( - db_path_or_url, - path, - extension, - skip_init, + skip_init = bool(kwargs.get("skip_init", False)) + extension = str(kwargs.get("extension", "yaml")) + + # Schema-agnostic: parse path and extension from path string if provided + path: str | None = None + if "path" in kwargs: + path = str(kwargs["path"]) + last_segment = path.split("/")[-1] + if "." in last_segment: + if "extension" in kwargs: + raise ValueError( + "Cannot specify extension both in path " + "and as a separate parameter. Use one or the other." ) + path, extension = path.rsplit(".", 1) - # Fields mode: caller passes individual schema fields + if schema == 1: + if path is not None: + return cls.from_db_path_v1( + db_path_or_url, + path, + extension, + skip_init, + ) + + # Fields mode required = ("powertrain", "make", "model", "year", "revision") missing = [key for key in required if key not in kwargs] if missing: @@ -401,6 +387,8 @@ def _vehicle_from_db( skip_init, ) + raise ValueError(f"Unsupported schema: {schema}. Only schema=1 is currently supported.") + # adds variable_path_list() and history_path_list() as methods to all classes in # ACCEPTED_RUST_STRUCTS for item in ACCEPTED_RUST_STRUCTS: diff --git a/python/fastsim/fastsim.pyi b/python/fastsim/fastsim.pyi index 10ee607c2..65eb4ec1e 100644 --- a/python/fastsim/fastsim.pyi +++ b/python/fastsim/fastsim.pyi @@ -188,26 +188,30 @@ class Vehicle(SerdeAPI): Database schema version. Currently only ``schema=1`` is supported. **kwargs - Valid kwargs for ``schema=1``: + **Path-string mode** (schema-agnostic; takes precedence over fields mode): - **Path-string mode** (alternative to individual fields): - - ``path`` (str): full schema path string, e.g. - ``"v1/fastsim-3/conv/ford/fusion/2012/base/v1"`` + - ``path`` (str): pre-serialized schema path string, e.g. + ``"v1/fastsim-3/conv/ford/fusion/2012/base/v1"``. + The file extension may be embedded directly in the path + (e.g. ``"v1/fastsim-3/conv/ford/fusion/2012/base/v1.yaml"``), + or supplied separately via ``extension``. Specifying both raises + a ``ValueError``. + - ``extension`` (str, optional): file extension when not embedded in + ``path``, e.g. ``"yaml"`` or ``"json"``. Defaults to ``"yaml"``. + - ``skip_init`` (bool, optional): skip vehicle initialization after + loading. Defaults to ``False``. + + **Individual fields mode** (schema=1 only; used when ``path`` is not provided): - **Individual fields mode** (required if ``path`` not provided): - ``powertrain`` (str): powertrain type, e.g. ``"conv"``, ``"hev"``, ``"phev"``, ``"bev"`` - ``make`` (str): vehicle make, e.g. ``"Ford"``, ``"Tesla"`` - ``model`` (str): vehicle model, e.g. ``"F-150"``, ``"Model-3"`` - ``year`` (str): vehicle model year or range, e.g. ``"2022"``, ``"2020-2023"`` - - ``revision`` (str): model revision number, e.g. ``v1``. - - ``variant`` (str, optional): variant descriptor, e.g. ``"base"``. - Defaults to ``"base"``. - - ``extension`` (str, optional): file extension, e.g. ``"yaml"``, ``"json"``. - Defaults to ``"yaml"``. - - ``fastsim_version`` (int, optional): Major FASTSim version. - Defaults to the installed FASTSim major version (e.g. ``3``). - - ``skip_init`` (bool, optional): if False, runs vehicle initialization after loading. - Defaults to ``False``. + - ``revision`` (str | int): model revision, e.g. ``1``, ``"v1"``, or ``"V1"`` + - ``variant`` (str, optional): variant descriptor, e.g. ``"base"``. Defaults to ``"base"``. + - ``extension`` (str, optional): file extension. Defaults to ``"yaml"``. + - ``fastsim_version`` (int, optional): major FASTSim version. Defaults to the installed major version. + - ``skip_init`` (bool, optional): skip vehicle initialization after loading. Defaults to ``False``. Returns ------- @@ -217,7 +221,9 @@ class Vehicle(SerdeAPI): Raises ------ ValueError - If ``schema`` is not 1 or if required fields are missing. + If ``schema`` is not 1 (fields mode only), if required fields are + missing, or if ``extension`` is specified both in ``path`` and as a + separate kwarg. RuntimeError If remote loading is requested but web feature is not enabled. """ From 54270261ff32e5b0ae2288201012305a5a335a8d Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Tue, 21 Jul 2026 19:44:28 -0600 Subject: [PATCH 61/67] year = 0 fix --- .../src/vehicle/vehicle_model/fastsim2_interface.rs | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/fastsim-core/src/vehicle/vehicle_model/fastsim2_interface.rs b/fastsim-core/src/vehicle/vehicle_model/fastsim2_interface.rs index e2778c0a5..1956fb79c 100644 --- a/fastsim-core/src/vehicle/vehicle_model/fastsim2_interface.rs +++ b/fastsim-core/src/vehicle/vehicle_model/fastsim2_interface.rs @@ -16,7 +16,11 @@ impl TryFrom for Vehicle { None, None, f2veh.doc.clone(), - Some(f2veh.veh_year.to_string()), + if f2veh.veh_year == 0 { + None + } else { + Some(f2veh.veh_year.to_string()) + }, None, None, pt_type, From b37f94ee17c4cb24e4ac429ad97b76431eebb1ef Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Tue, 21 Jul 2026 20:24:26 -0600 Subject: [PATCH 62/67] fueltype --- cal_and_val/f3-vehicles/2010 Mazda 3 i-Stop.yaml | 1 + cal_and_val/f3-vehicles/2012 Ford Focus.yaml | 1 + cal_and_val/f3-vehicles/2012 Ford Fusion.yaml | 1 + cal_and_val/f3-vehicles/2016 AUDI A3 4cyl 2WD.yaml | 1 + cal_and_val/f3-vehicles/2016 BMW 328d 4cyl 2WD.yaml | 1 + cal_and_val/f3-vehicles/2016 BMW i3 REx PHEV.yaml | 1 + .../f3-vehicles/2016 CHEVROLET Malibu 4cyl 2WD.yaml | 1 + cal_and_val/f3-vehicles/2016 CHEVROLET Volt.yaml | 1 + cal_and_val/f3-vehicles/2016 FORD C-MAX (PHEV).yaml | 1 + cal_and_val/f3-vehicles/2016 FORD C-MAX HEV.yaml | 1 + .../f3-vehicles/2016 FORD Escape 4cyl 2WD.yaml | 1 + .../f3-vehicles/2016 FORD Explorer 4cyl 2WD.yaml | 1 + .../f3-vehicles/2016 HYUNDAI Elantra 4cyl 2WD.yaml | 1 + .../f3-vehicles/2016 HYUNDAI Sonata PHEV.yaml | 1 + .../f3-vehicles/2016 Hyundai Tucson Fuel Cell.yaml | 1 + cal_and_val/f3-vehicles/2016 KIA Optima Hybrid.yaml | 1 + .../f3-vehicles/2016 TOYOTA Camry 4cyl 2WD.yaml | 1 + .../f3-vehicles/2016 TOYOTA Corolla 4cyl 2WD.yaml | 1 + .../f3-vehicles/2016 TOYOTA Highlander Hybrid.yaml | 1 + .../f3-vehicles/2016 Toyota Prius Two FWD.yaml | 1 + cal_and_val/f3-vehicles/2017 Maruti Dzire VDI.yaml | 1 + cal_and_val/f3-vehicles/2017 Prius Prime.yaml | 1 + .../f3-vehicles/2017 Toyota Highlander 3.5 L.yaml | 1 + .../2020 Chevrolet Colorado 2WD Diesel.yaml | 1 + .../f3-vehicles/2020 Hero Splendor+ 100cc.yaml | 1 + cal_and_val/f3-vehicles/2020 VW Golf 1.5TSI.yaml | 1 + cal_and_val/f3-vehicles/2020 VW Golf 2.0TDI.yaml | 1 + .../f3-vehicles/2021 Fiat Panda Mild Hybrid.yaml | 1 + cal_and_val/f3-vehicles/2021 Honda N-Box G.yaml | 1 + cal_and_val/f3-vehicles/2021 Peugot 3008.yaml | 1 + .../f3-vehicles/2022 Toyota RAV4 Hybrid LE.yaml | 1 + .../f3-vehicles/2022 Toyota Yaris Hybrid Mid.yaml | 1 + .../f3-vehicles/2023 Mitsubishi Pajero Sport.yaml | 1 + cal_and_val/f3-vehicles/2024 Toyota Vios 1.5 G.yaml | 1 + .../f3-vehicles/2024 Volkswagen Polo 1.0 MPI.yaml | 1 + cal_and_val/f3-vehicles/Bajaj Boxer 150.yaml | 3 ++- .../f3-vehicles/Class 4 Truck (Isuzu NPR HD).yaml | 3 ++- cal_and_val/f3-vehicles/Line Haul Conv.yaml | 3 ++- cal_and_val/f3-vehicles/Maruti Swift 4cyl 2WD.yaml | 1 + cal_and_val/f3-vehicles/Nissan Navara.yaml | 1 + .../f3-vehicles/Regional Delivery Class 8 Truck.yaml | 3 ++- cal_and_val/f3-vehicles/Renault Clio IV diesel.yaml | 1 + .../Renault Megane 1.5 dCi Authentique.yaml | 1 + .../f3-vehicles/Toyota Corolla Cross Hybrid.yaml | 1 + .../f3-vehicles/Toyota Etios Liva diesel.yaml | 1 + .../f3-vehicles/Toyota Hilux Double Cab 4WD.yaml | 1 + cal_and_val/f3-vehicles/Toyota Mirai.yaml | 3 ++- .../resources/vehicles/2012_Ford_Fusion.yaml | 1 + .../resources/vehicles/2016_TOYOTA_Prius_Two.yaml | 1 + fastsim-core/src/prelude.rs | 1 + fastsim-core/src/vehicle/conv.rs | 1 + fastsim-core/src/vehicle/hev.rs | 1 + fastsim-core/src/vehicle/mod.rs | 1 + fastsim-core/src/vehicle/powertrain/fuel_storage.rs | 12 ++++++++++++ fastsim-core/src/vehicle/vehicle_model.rs | 2 ++ 55 files changed, 72 insertions(+), 5 deletions(-) diff --git a/cal_and_val/f3-vehicles/2010 Mazda 3 i-Stop.yaml b/cal_and_val/f3-vehicles/2010 Mazda 3 i-Stop.yaml index 87e7c2bb0..a6f698bfb 100644 --- a/cal_and_val/f3-vehicles/2010 Mazda 3 i-Stop.yaml +++ b/cal_and_val/f3-vehicles/2010 Mazda 3 i-Stop.yaml @@ -10,6 +10,7 @@ pt_type: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.0 + fuel_type: ~ energy_capacity_joules: 1587600000.0 specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ diff --git a/cal_and_val/f3-vehicles/2012 Ford Focus.yaml b/cal_and_val/f3-vehicles/2012 Ford Focus.yaml index ebc7c2b5c..5cc8fdc12 100644 --- a/cal_and_val/f3-vehicles/2012 Ford Focus.yaml +++ b/cal_and_val/f3-vehicles/2012 Ford Focus.yaml @@ -10,6 +10,7 @@ pt_type: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.0 + fuel_type: ~ energy_capacity_joules: 1587600000.0 specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ diff --git a/cal_and_val/f3-vehicles/2012 Ford Fusion.yaml b/cal_and_val/f3-vehicles/2012 Ford Fusion.yaml index 0dee08716..aadc88306 100644 --- a/cal_and_val/f3-vehicles/2012 Ford Fusion.yaml +++ b/cal_and_val/f3-vehicles/2012 Ford Fusion.yaml @@ -10,6 +10,7 @@ pt_type: fs: pwr_out_max_watts: 1000000.0 pwr_ramp_lag_seconds: 1.0 + fuel_type: ~ energy_capacity_joules: 2124000000.0 specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ diff --git a/cal_and_val/f3-vehicles/2016 AUDI A3 4cyl 2WD.yaml b/cal_and_val/f3-vehicles/2016 AUDI A3 4cyl 2WD.yaml index a21b65083..197bff46e 100644 --- a/cal_and_val/f3-vehicles/2016 AUDI A3 4cyl 2WD.yaml +++ b/cal_and_val/f3-vehicles/2016 AUDI A3 4cyl 2WD.yaml @@ -10,6 +10,7 @@ pt_type: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.0 + fuel_type: ~ energy_capacity_joules: 1587600000.0 specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ diff --git a/cal_and_val/f3-vehicles/2016 BMW 328d 4cyl 2WD.yaml b/cal_and_val/f3-vehicles/2016 BMW 328d 4cyl 2WD.yaml index 465229c74..a4dcdd9ab 100644 --- a/cal_and_val/f3-vehicles/2016 BMW 328d 4cyl 2WD.yaml +++ b/cal_and_val/f3-vehicles/2016 BMW 328d 4cyl 2WD.yaml @@ -10,6 +10,7 @@ pt_type: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.0 + fuel_type: ~ energy_capacity_joules: 1803600000.0 specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ diff --git a/cal_and_val/f3-vehicles/2016 BMW i3 REx PHEV.yaml b/cal_and_val/f3-vehicles/2016 BMW i3 REx PHEV.yaml index e96dacb34..4c9858f7d 100644 --- a/cal_and_val/f3-vehicles/2016 BMW i3 REx PHEV.yaml +++ b/cal_and_val/f3-vehicles/2016 BMW i3 REx PHEV.yaml @@ -42,6 +42,7 @@ pt_type: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.0 + fuel_type: ~ energy_capacity_joules: 226800000.0 specific_energy_joules_per_kilogram: ~ mass_kilograms: ~ diff --git a/cal_and_val/f3-vehicles/2016 CHEVROLET Malibu 4cyl 2WD.yaml b/cal_and_val/f3-vehicles/2016 CHEVROLET Malibu 4cyl 2WD.yaml index 3da9ba6a3..f997bf3c1 100644 --- a/cal_and_val/f3-vehicles/2016 CHEVROLET Malibu 4cyl 2WD.yaml +++ b/cal_and_val/f3-vehicles/2016 CHEVROLET Malibu 4cyl 2WD.yaml @@ -10,6 +10,7 @@ pt_type: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.0 + fuel_type: ~ energy_capacity_joules: 1562400000.0 specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ diff --git a/cal_and_val/f3-vehicles/2016 CHEVROLET Volt.yaml b/cal_and_val/f3-vehicles/2016 CHEVROLET Volt.yaml index 4b7ed10f1..cb6cded6a 100644 --- a/cal_and_val/f3-vehicles/2016 CHEVROLET Volt.yaml +++ b/cal_and_val/f3-vehicles/2016 CHEVROLET Volt.yaml @@ -42,6 +42,7 @@ pt_type: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.0 + fuel_type: ~ energy_capacity_joules: 1069200000.0 specific_energy_joules_per_kilogram: ~ mass_kilograms: ~ diff --git a/cal_and_val/f3-vehicles/2016 FORD C-MAX (PHEV).yaml b/cal_and_val/f3-vehicles/2016 FORD C-MAX (PHEV).yaml index cfb07d500..e8b41d2c8 100644 --- a/cal_and_val/f3-vehicles/2016 FORD C-MAX (PHEV).yaml +++ b/cal_and_val/f3-vehicles/2016 FORD C-MAX (PHEV).yaml @@ -42,6 +42,7 @@ pt_type: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.0 + fuel_type: ~ energy_capacity_joules: 1684800000.0 specific_energy_joules_per_kilogram: ~ mass_kilograms: ~ diff --git a/cal_and_val/f3-vehicles/2016 FORD C-MAX HEV.yaml b/cal_and_val/f3-vehicles/2016 FORD C-MAX HEV.yaml index 12540e1ce..bc6b1b015 100644 --- a/cal_and_val/f3-vehicles/2016 FORD C-MAX HEV.yaml +++ b/cal_and_val/f3-vehicles/2016 FORD C-MAX HEV.yaml @@ -42,6 +42,7 @@ pt_type: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.0 + fuel_type: ~ energy_capacity_joules: 1623600000.0000002 specific_energy_joules_per_kilogram: ~ mass_kilograms: ~ diff --git a/cal_and_val/f3-vehicles/2016 FORD Escape 4cyl 2WD.yaml b/cal_and_val/f3-vehicles/2016 FORD Escape 4cyl 2WD.yaml index bd11e027c..92ae0da59 100644 --- a/cal_and_val/f3-vehicles/2016 FORD Escape 4cyl 2WD.yaml +++ b/cal_and_val/f3-vehicles/2016 FORD Escape 4cyl 2WD.yaml @@ -10,6 +10,7 @@ pt_type: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.0 + fuel_type: ~ energy_capacity_joules: 1814400000.0 specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ diff --git a/cal_and_val/f3-vehicles/2016 FORD Explorer 4cyl 2WD.yaml b/cal_and_val/f3-vehicles/2016 FORD Explorer 4cyl 2WD.yaml index 19f9bfda1..f4337581d 100644 --- a/cal_and_val/f3-vehicles/2016 FORD Explorer 4cyl 2WD.yaml +++ b/cal_and_val/f3-vehicles/2016 FORD Explorer 4cyl 2WD.yaml @@ -10,6 +10,7 @@ pt_type: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.0 + fuel_type: ~ energy_capacity_joules: 2235600000.0 specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ diff --git a/cal_and_val/f3-vehicles/2016 HYUNDAI Elantra 4cyl 2WD.yaml b/cal_and_val/f3-vehicles/2016 HYUNDAI Elantra 4cyl 2WD.yaml index 2e4ac9252..531f647dd 100644 --- a/cal_and_val/f3-vehicles/2016 HYUNDAI Elantra 4cyl 2WD.yaml +++ b/cal_and_val/f3-vehicles/2016 HYUNDAI Elantra 4cyl 2WD.yaml @@ -10,6 +10,7 @@ pt_type: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.0 + fuel_type: ~ energy_capacity_joules: 1684800000.0 specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ diff --git a/cal_and_val/f3-vehicles/2016 HYUNDAI Sonata PHEV.yaml b/cal_and_val/f3-vehicles/2016 HYUNDAI Sonata PHEV.yaml index 403220ebf..7b2d6e8d5 100644 --- a/cal_and_val/f3-vehicles/2016 HYUNDAI Sonata PHEV.yaml +++ b/cal_and_val/f3-vehicles/2016 HYUNDAI Sonata PHEV.yaml @@ -42,6 +42,7 @@ pt_type: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.0 + fuel_type: ~ energy_capacity_joules: 1742400000.0 specific_energy_joules_per_kilogram: ~ mass_kilograms: ~ diff --git a/cal_and_val/f3-vehicles/2016 Hyundai Tucson Fuel Cell.yaml b/cal_and_val/f3-vehicles/2016 Hyundai Tucson Fuel Cell.yaml index 7a4890a0d..d0334f97b 100644 --- a/cal_and_val/f3-vehicles/2016 Hyundai Tucson Fuel Cell.yaml +++ b/cal_and_val/f3-vehicles/2016 Hyundai Tucson Fuel Cell.yaml @@ -42,6 +42,7 @@ pt_type: fs: pwr_out_max_watts: 1000000.0 pwr_ramp_lag_seconds: 1.0 + fuel_type: ~ energy_capacity_joules: 475200000.0 specific_energy_joules_per_kilogram: ~ mass_kilograms: ~ diff --git a/cal_and_val/f3-vehicles/2016 KIA Optima Hybrid.yaml b/cal_and_val/f3-vehicles/2016 KIA Optima Hybrid.yaml index 0273a2623..e5b5e40e2 100644 --- a/cal_and_val/f3-vehicles/2016 KIA Optima Hybrid.yaml +++ b/cal_and_val/f3-vehicles/2016 KIA Optima Hybrid.yaml @@ -42,6 +42,7 @@ pt_type: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.0 + fuel_type: ~ energy_capacity_joules: 2066400000.0 specific_energy_joules_per_kilogram: ~ mass_kilograms: ~ diff --git a/cal_and_val/f3-vehicles/2016 TOYOTA Camry 4cyl 2WD.yaml b/cal_and_val/f3-vehicles/2016 TOYOTA Camry 4cyl 2WD.yaml index 588beb678..45262fe0d 100644 --- a/cal_and_val/f3-vehicles/2016 TOYOTA Camry 4cyl 2WD.yaml +++ b/cal_and_val/f3-vehicles/2016 TOYOTA Camry 4cyl 2WD.yaml @@ -10,6 +10,7 @@ pt_type: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.0 + fuel_type: ~ energy_capacity_joules: 2044800000.0 specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ diff --git a/cal_and_val/f3-vehicles/2016 TOYOTA Corolla 4cyl 2WD.yaml b/cal_and_val/f3-vehicles/2016 TOYOTA Corolla 4cyl 2WD.yaml index 048c7a301..f83d4bf67 100644 --- a/cal_and_val/f3-vehicles/2016 TOYOTA Corolla 4cyl 2WD.yaml +++ b/cal_and_val/f3-vehicles/2016 TOYOTA Corolla 4cyl 2WD.yaml @@ -10,6 +10,7 @@ pt_type: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.0 + fuel_type: ~ energy_capacity_joules: 1587600000.0 specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ diff --git a/cal_and_val/f3-vehicles/2016 TOYOTA Highlander Hybrid.yaml b/cal_and_val/f3-vehicles/2016 TOYOTA Highlander Hybrid.yaml index 580da0c20..5cf2fc5c5 100644 --- a/cal_and_val/f3-vehicles/2016 TOYOTA Highlander Hybrid.yaml +++ b/cal_and_val/f3-vehicles/2016 TOYOTA Highlander Hybrid.yaml @@ -42,6 +42,7 @@ pt_type: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.0 + fuel_type: ~ energy_capacity_joules: 2066400000.0 specific_energy_joules_per_kilogram: ~ mass_kilograms: ~ diff --git a/cal_and_val/f3-vehicles/2016 Toyota Prius Two FWD.yaml b/cal_and_val/f3-vehicles/2016 Toyota Prius Two FWD.yaml index c689ae9f8..1d1993a19 100644 --- a/cal_and_val/f3-vehicles/2016 Toyota Prius Two FWD.yaml +++ b/cal_and_val/f3-vehicles/2016 Toyota Prius Two FWD.yaml @@ -42,6 +42,7 @@ pt_type: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.1 + fuel_type: ~ energy_capacity_joules: 1392840000.0 specific_energy_joules_per_kilogram: ~ mass_kilograms: ~ diff --git a/cal_and_val/f3-vehicles/2017 Maruti Dzire VDI.yaml b/cal_and_val/f3-vehicles/2017 Maruti Dzire VDI.yaml index 9b3dd9b15..a609c3699 100644 --- a/cal_and_val/f3-vehicles/2017 Maruti Dzire VDI.yaml +++ b/cal_and_val/f3-vehicles/2017 Maruti Dzire VDI.yaml @@ -10,6 +10,7 @@ pt_type: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.1 + fuel_type: ~ energy_capacity_joules: 1333468383.48 specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ diff --git a/cal_and_val/f3-vehicles/2017 Prius Prime.yaml b/cal_and_val/f3-vehicles/2017 Prius Prime.yaml index 40a195c25..bd2e4dad6 100644 --- a/cal_and_val/f3-vehicles/2017 Prius Prime.yaml +++ b/cal_and_val/f3-vehicles/2017 Prius Prime.yaml @@ -42,6 +42,7 @@ pt_type: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.0 + fuel_type: ~ energy_capacity_joules: 1368000000.0 specific_energy_joules_per_kilogram: ~ mass_kilograms: ~ diff --git a/cal_and_val/f3-vehicles/2017 Toyota Highlander 3.5 L.yaml b/cal_and_val/f3-vehicles/2017 Toyota Highlander 3.5 L.yaml index fee315a2e..b3a71876d 100644 --- a/cal_and_val/f3-vehicles/2017 Toyota Highlander 3.5 L.yaml +++ b/cal_and_val/f3-vehicles/2017 Toyota Highlander 3.5 L.yaml @@ -10,6 +10,7 @@ pt_type: fs: pwr_out_max_watts: 1000000.0 pwr_ramp_lag_seconds: 1.0 + fuel_type: ~ energy_capacity_joules: 2124000000.0 specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ diff --git a/cal_and_val/f3-vehicles/2020 Chevrolet Colorado 2WD Diesel.yaml b/cal_and_val/f3-vehicles/2020 Chevrolet Colorado 2WD Diesel.yaml index 0bcdffdbd..7ac50e645 100644 --- a/cal_and_val/f3-vehicles/2020 Chevrolet Colorado 2WD Diesel.yaml +++ b/cal_and_val/f3-vehicles/2020 Chevrolet Colorado 2WD Diesel.yaml @@ -10,6 +10,7 @@ pt_type: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.0 + fuel_type: ~ energy_capacity_joules: 2520000000.0 specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ diff --git a/cal_and_val/f3-vehicles/2020 Hero Splendor+ 100cc.yaml b/cal_and_val/f3-vehicles/2020 Hero Splendor+ 100cc.yaml index 56ba4e0b7..70cc74edb 100644 --- a/cal_and_val/f3-vehicles/2020 Hero Splendor+ 100cc.yaml +++ b/cal_and_val/f3-vehicles/2020 Hero Splendor+ 100cc.yaml @@ -10,6 +10,7 @@ pt_type: fs: pwr_out_max_watts: 1000000.0 pwr_ramp_lag_seconds: 1.0 + fuel_type: ~ energy_capacity_joules: 317520000.0 specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ diff --git a/cal_and_val/f3-vehicles/2020 VW Golf 1.5TSI.yaml b/cal_and_val/f3-vehicles/2020 VW Golf 1.5TSI.yaml index c334d4e92..d7d298f35 100644 --- a/cal_and_val/f3-vehicles/2020 VW Golf 1.5TSI.yaml +++ b/cal_and_val/f3-vehicles/2020 VW Golf 1.5TSI.yaml @@ -10,6 +10,7 @@ pt_type: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.0 + fuel_type: ~ energy_capacity_joules: 1590104192.3999999 specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ diff --git a/cal_and_val/f3-vehicles/2020 VW Golf 2.0TDI.yaml b/cal_and_val/f3-vehicles/2020 VW Golf 2.0TDI.yaml index f0342f147..370dea5ef 100644 --- a/cal_and_val/f3-vehicles/2020 VW Golf 2.0TDI.yaml +++ b/cal_and_val/f3-vehicles/2020 VW Golf 2.0TDI.yaml @@ -10,6 +10,7 @@ pt_type: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.0 + fuel_type: ~ energy_capacity_joules: 1790584804.8 specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ diff --git a/cal_and_val/f3-vehicles/2021 Fiat Panda Mild Hybrid.yaml b/cal_and_val/f3-vehicles/2021 Fiat Panda Mild Hybrid.yaml index 24c06e7d2..a413eff05 100644 --- a/cal_and_val/f3-vehicles/2021 Fiat Panda Mild Hybrid.yaml +++ b/cal_and_val/f3-vehicles/2021 Fiat Panda Mild Hybrid.yaml @@ -10,6 +10,7 @@ pt_type: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.0 + fuel_type: ~ energy_capacity_joules: 1623600000.0 specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ diff --git a/cal_and_val/f3-vehicles/2021 Honda N-Box G.yaml b/cal_and_val/f3-vehicles/2021 Honda N-Box G.yaml index 959e339d2..da5a3391f 100644 --- a/cal_and_val/f3-vehicles/2021 Honda N-Box G.yaml +++ b/cal_and_val/f3-vehicles/2021 Honda N-Box G.yaml @@ -10,6 +10,7 @@ pt_type: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.1 + fuel_type: ~ energy_capacity_joules: 861372000.0 specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ diff --git a/cal_and_val/f3-vehicles/2021 Peugot 3008.yaml b/cal_and_val/f3-vehicles/2021 Peugot 3008.yaml index 1b03f471e..d3d770bd9 100644 --- a/cal_and_val/f3-vehicles/2021 Peugot 3008.yaml +++ b/cal_and_val/f3-vehicles/2021 Peugot 3008.yaml @@ -10,6 +10,7 @@ pt_type: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.0 + fuel_type: ~ energy_capacity_joules: 1623600000.0 specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ diff --git a/cal_and_val/f3-vehicles/2022 Toyota RAV4 Hybrid LE.yaml b/cal_and_val/f3-vehicles/2022 Toyota RAV4 Hybrid LE.yaml index 1c35d06aa..424884577 100644 --- a/cal_and_val/f3-vehicles/2022 Toyota RAV4 Hybrid LE.yaml +++ b/cal_and_val/f3-vehicles/2022 Toyota RAV4 Hybrid LE.yaml @@ -42,6 +42,7 @@ pt_type: fs: pwr_out_max_watts: 1000000.0 pwr_ramp_lag_seconds: 1.1 + fuel_type: ~ energy_capacity_joules: 1759139999.9999998 specific_energy_joules_per_kilogram: ~ mass_kilograms: ~ diff --git a/cal_and_val/f3-vehicles/2022 Toyota Yaris Hybrid Mid.yaml b/cal_and_val/f3-vehicles/2022 Toyota Yaris Hybrid Mid.yaml index 59e1876b0..d10b63288 100644 --- a/cal_and_val/f3-vehicles/2022 Toyota Yaris Hybrid Mid.yaml +++ b/cal_and_val/f3-vehicles/2022 Toyota Yaris Hybrid Mid.yaml @@ -42,6 +42,7 @@ pt_type: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.1 + fuel_type: ~ energy_capacity_joules: 1172232000.0 specific_energy_joules_per_kilogram: ~ mass_kilograms: ~ diff --git a/cal_and_val/f3-vehicles/2023 Mitsubishi Pajero Sport.yaml b/cal_and_val/f3-vehicles/2023 Mitsubishi Pajero Sport.yaml index 0ccb4d184..cab86b516 100644 --- a/cal_and_val/f3-vehicles/2023 Mitsubishi Pajero Sport.yaml +++ b/cal_and_val/f3-vehicles/2023 Mitsubishi Pajero Sport.yaml @@ -10,6 +10,7 @@ pt_type: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.1 + fuel_type: ~ energy_capacity_joules: 2450698650.0 specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ diff --git a/cal_and_val/f3-vehicles/2024 Toyota Vios 1.5 G.yaml b/cal_and_val/f3-vehicles/2024 Toyota Vios 1.5 G.yaml index 3a74b35a9..b2914acb4 100644 --- a/cal_and_val/f3-vehicles/2024 Toyota Vios 1.5 G.yaml +++ b/cal_and_val/f3-vehicles/2024 Toyota Vios 1.5 G.yaml @@ -10,6 +10,7 @@ pt_type: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.1 + fuel_type: ~ energy_capacity_joules: 1272083353.2 specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ diff --git a/cal_and_val/f3-vehicles/2024 Volkswagen Polo 1.0 MPI.yaml b/cal_and_val/f3-vehicles/2024 Volkswagen Polo 1.0 MPI.yaml index db74ae433..3e127bb34 100644 --- a/cal_and_val/f3-vehicles/2024 Volkswagen Polo 1.0 MPI.yaml +++ b/cal_and_val/f3-vehicles/2024 Volkswagen Polo 1.0 MPI.yaml @@ -10,6 +10,7 @@ pt_type: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.1 + fuel_type: ~ energy_capacity_joules: 1570428000.0 specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ diff --git a/cal_and_val/f3-vehicles/Bajaj Boxer 150.yaml b/cal_and_val/f3-vehicles/Bajaj Boxer 150.yaml index 93a564b4a..0549f13b4 100644 --- a/cal_and_val/f3-vehicles/Bajaj Boxer 150.yaml +++ b/cal_and_val/f3-vehicles/Bajaj Boxer 150.yaml @@ -2,7 +2,7 @@ name: Bajaj Boxer 150 min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: "0" +year: ~ make: ~ model: ~ pt_type: @@ -10,6 +10,7 @@ pt_type: fs: pwr_out_max_watts: 1000000.0 pwr_ramp_lag_seconds: 1.0 + fuel_type: ~ energy_capacity_joules: 317520000.0 specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ diff --git a/cal_and_val/f3-vehicles/Class 4 Truck (Isuzu NPR HD).yaml b/cal_and_val/f3-vehicles/Class 4 Truck (Isuzu NPR HD).yaml index fa53acbce..f4abeddfd 100644 --- a/cal_and_val/f3-vehicles/Class 4 Truck (Isuzu NPR HD).yaml +++ b/cal_and_val/f3-vehicles/Class 4 Truck (Isuzu NPR HD).yaml @@ -2,7 +2,7 @@ name: Class 4 Truck (Isuzu NPR HD) min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: "0" +year: ~ make: ~ model: ~ pt_type: @@ -10,6 +10,7 @@ pt_type: fs: pwr_out_max_watts: 5000000.0 pwr_ramp_lag_seconds: 1.0 + fuel_type: ~ energy_capacity_joules: 3844800000.0 specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ diff --git a/cal_and_val/f3-vehicles/Line Haul Conv.yaml b/cal_and_val/f3-vehicles/Line Haul Conv.yaml index 8ca75ac18..6e845a286 100644 --- a/cal_and_val/f3-vehicles/Line Haul Conv.yaml +++ b/cal_and_val/f3-vehicles/Line Haul Conv.yaml @@ -2,7 +2,7 @@ name: Line Haul Conv min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: "0" +year: ~ make: ~ model: ~ pt_type: @@ -10,6 +10,7 @@ pt_type: fs: pwr_out_max_watts: 5000000.0 pwr_ramp_lag_seconds: 1.0 + fuel_type: ~ energy_capacity_joules: 28800000000.0 specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ diff --git a/cal_and_val/f3-vehicles/Maruti Swift 4cyl 2WD.yaml b/cal_and_val/f3-vehicles/Maruti Swift 4cyl 2WD.yaml index 685455e52..b3c31fc40 100644 --- a/cal_and_val/f3-vehicles/Maruti Swift 4cyl 2WD.yaml +++ b/cal_and_val/f3-vehicles/Maruti Swift 4cyl 2WD.yaml @@ -10,6 +10,7 @@ pt_type: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.0 + fuel_type: ~ energy_capacity_joules: 1590480000.0 specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ diff --git a/cal_and_val/f3-vehicles/Nissan Navara.yaml b/cal_and_val/f3-vehicles/Nissan Navara.yaml index 147d4f370..d00163c88 100644 --- a/cal_and_val/f3-vehicles/Nissan Navara.yaml +++ b/cal_and_val/f3-vehicles/Nissan Navara.yaml @@ -10,6 +10,7 @@ pt_type: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.0 + fuel_type: ~ energy_capacity_joules: 1623600000.0 specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ diff --git a/cal_and_val/f3-vehicles/Regional Delivery Class 8 Truck.yaml b/cal_and_val/f3-vehicles/Regional Delivery Class 8 Truck.yaml index a306bb4d3..fa96ee0ce 100644 --- a/cal_and_val/f3-vehicles/Regional Delivery Class 8 Truck.yaml +++ b/cal_and_val/f3-vehicles/Regional Delivery Class 8 Truck.yaml @@ -2,7 +2,7 @@ name: Regional Delivery Class 8 Truck min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: "0" +year: ~ make: ~ model: ~ pt_type: @@ -10,6 +10,7 @@ pt_type: fs: pwr_out_max_watts: 5000000.0 pwr_ramp_lag_seconds: 1.0 + fuel_type: ~ energy_capacity_joules: 14400000000.0 specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ diff --git a/cal_and_val/f3-vehicles/Renault Clio IV diesel.yaml b/cal_and_val/f3-vehicles/Renault Clio IV diesel.yaml index 3f2a735d3..35155a94d 100644 --- a/cal_and_val/f3-vehicles/Renault Clio IV diesel.yaml +++ b/cal_and_val/f3-vehicles/Renault Clio IV diesel.yaml @@ -10,6 +10,7 @@ pt_type: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.0 + fuel_type: ~ energy_capacity_joules: 1623600000.0 specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ diff --git a/cal_and_val/f3-vehicles/Renault Megane 1.5 dCi Authentique.yaml b/cal_and_val/f3-vehicles/Renault Megane 1.5 dCi Authentique.yaml index 8d4b4fc82..a69f01641 100644 --- a/cal_and_val/f3-vehicles/Renault Megane 1.5 dCi Authentique.yaml +++ b/cal_and_val/f3-vehicles/Renault Megane 1.5 dCi Authentique.yaml @@ -10,6 +10,7 @@ pt_type: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.0 + fuel_type: ~ energy_capacity_joules: 1623600000.0 specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ diff --git a/cal_and_val/f3-vehicles/Toyota Corolla Cross Hybrid.yaml b/cal_and_val/f3-vehicles/Toyota Corolla Cross Hybrid.yaml index 466da4a64..b02e53502 100644 --- a/cal_and_val/f3-vehicles/Toyota Corolla Cross Hybrid.yaml +++ b/cal_and_val/f3-vehicles/Toyota Corolla Cross Hybrid.yaml @@ -42,6 +42,7 @@ pt_type: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.1 + fuel_type: ~ energy_capacity_joules: 1172232000.0 specific_energy_joules_per_kilogram: ~ mass_kilograms: ~ diff --git a/cal_and_val/f3-vehicles/Toyota Etios Liva diesel.yaml b/cal_and_val/f3-vehicles/Toyota Etios Liva diesel.yaml index 0946f7b14..feb33f76b 100644 --- a/cal_and_val/f3-vehicles/Toyota Etios Liva diesel.yaml +++ b/cal_and_val/f3-vehicles/Toyota Etios Liva diesel.yaml @@ -10,6 +10,7 @@ pt_type: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.0 + fuel_type: ~ energy_capacity_joules: 1623600000.0 specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ diff --git a/cal_and_val/f3-vehicles/Toyota Hilux Double Cab 4WD.yaml b/cal_and_val/f3-vehicles/Toyota Hilux Double Cab 4WD.yaml index f7b8d241e..441a1a20a 100644 --- a/cal_and_val/f3-vehicles/Toyota Hilux Double Cab 4WD.yaml +++ b/cal_and_val/f3-vehicles/Toyota Hilux Double Cab 4WD.yaml @@ -10,6 +10,7 @@ pt_type: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.0 + fuel_type: ~ energy_capacity_joules: 1623600000.0 specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ diff --git a/cal_and_val/f3-vehicles/Toyota Mirai.yaml b/cal_and_val/f3-vehicles/Toyota Mirai.yaml index b710c0fd0..e1ebe4334 100644 --- a/cal_and_val/f3-vehicles/Toyota Mirai.yaml +++ b/cal_and_val/f3-vehicles/Toyota Mirai.yaml @@ -2,7 +2,7 @@ name: Toyota Mirai min_fastsim_version: 3.1.0 doc: Generated by cal_and_val.tests.test_f2_to_f3.test_f2_to_f3 -year: "0" +year: ~ make: ~ model: ~ pt_type: @@ -42,6 +42,7 @@ pt_type: fs: pwr_out_max_watts: 1000000.0 pwr_ramp_lag_seconds: 1.0 + fuel_type: ~ energy_capacity_joules: 606600000.0 specific_energy_joules_per_kilogram: ~ mass_kilograms: ~ diff --git a/fastsim-core/resources/vehicles/2012_Ford_Fusion.yaml b/fastsim-core/resources/vehicles/2012_Ford_Fusion.yaml index f476c10a5..a82c11986 100644 --- a/fastsim-core/resources/vehicles/2012_Ford_Fusion.yaml +++ b/fastsim-core/resources/vehicles/2012_Ford_Fusion.yaml @@ -10,6 +10,7 @@ pt_type: fs: pwr_out_max_watts: 1000000.0 pwr_ramp_lag_seconds: 1.0 + fuel_type: ~ energy_capacity_joules: 2124000000.0 specific_energy_joules_per_kilogram: 43200000.0 mass_kilograms: ~ diff --git a/fastsim-core/resources/vehicles/2016_TOYOTA_Prius_Two.yaml b/fastsim-core/resources/vehicles/2016_TOYOTA_Prius_Two.yaml index 4659b9316..6fc29ce08 100755 --- a/fastsim-core/resources/vehicles/2016_TOYOTA_Prius_Two.yaml +++ b/fastsim-core/resources/vehicles/2016_TOYOTA_Prius_Two.yaml @@ -42,6 +42,7 @@ pt_type: fs: pwr_out_max_watts: 2000000.0 pwr_ramp_lag_seconds: 1.1 + fuel_type: ~ energy_capacity_joules: 1392840000.0 specific_energy_joules_per_kilogram: ~ mass_kilograms: ~ diff --git a/fastsim-core/src/prelude.rs b/fastsim-core/src/prelude.rs index 160046c76..48a2519b7 100755 --- a/fastsim-core/src/prelude.rs +++ b/fastsim-core/src/prelude.rs @@ -21,6 +21,7 @@ pub use crate::vehicle::powertrain::fuel_converter::{ FuelConverter, FuelConverterState, FuelConverterStateHistoryVec, FuelConverterThermal, FuelConverterThermalOption, FuelConverterThermalState, FuelConverterThermalStateHistoryVec, }; +pub use crate::vehicle::powertrain::fuel_storage::{FuelStorage, FuelType}; pub use crate::vehicle::powertrain::reversible_energy_storage::{ RESLumpedThermal, RESLumpedThermalState, RESLumpedThermalStateHistoryVec, RESThermalOption, ReversibleEnergyStorage, ReversibleEnergyStorageState, ReversibleEnergyStorageStateHistoryVec, diff --git a/fastsim-core/src/vehicle/conv.rs b/fastsim-core/src/vehicle/conv.rs index 18349f61d..360332c3a 100644 --- a/fastsim-core/src/vehicle/conv.rs +++ b/fastsim-core/src/vehicle/conv.rs @@ -325,6 +325,7 @@ impl TryFrom<&fastsim_2::vehicle::RustVehicle> for ConventionalVehicle { let fs = FuelStorage { pwr_out_max: f2veh.fs_max_kw * uc::KW, pwr_ramp_lag: f2veh.fs_secs_to_peak_pwr * uc::S, + fuel_type: None, energy_capacity: f2veh.fs_kwh * uc::KWH, specific_energy: Some( super::vehicle_model::FUEL_LHV_MJ_PER_KG * uc::MJ / uc::KG, diff --git a/fastsim-core/src/vehicle/hev.rs b/fastsim-core/src/vehicle/hev.rs index 4af5a2600..eef4ac364 100644 --- a/fastsim-core/src/vehicle/hev.rs +++ b/fastsim-core/src/vehicle/hev.rs @@ -477,6 +477,7 @@ impl TryFrom<&fastsim_2::vehicle::RustVehicle> for HybridElectricVehicle { fs: FuelStorage { pwr_out_max: f2veh.fs_max_kw * uc::KW, pwr_ramp_lag: f2veh.fs_secs_to_peak_pwr * uc::S, + fuel_type: None, energy_capacity: f2veh.fs_kwh * 3.6 * uc::MJ, specific_energy: None, mass: None, diff --git a/fastsim-core/src/vehicle/mod.rs b/fastsim-core/src/vehicle/mod.rs index b09217531..44621c0dd 100755 --- a/fastsim-core/src/vehicle/mod.rs +++ b/fastsim-core/src/vehicle/mod.rs @@ -26,6 +26,7 @@ pub use hev::HybridElectricVehicle; pub use powertrain::electric_machine::ElectricMachine; pub use powertrain::fuel_converter::FuelConverter; pub use powertrain::fuel_storage::FuelStorage; +pub use powertrain::fuel_storage::FuelType; pub use powertrain::reversible_energy_storage::ReversibleEnergyStorage; pub use powertrain::traits::Powertrain; pub use powertrain::transmission::Transmission; diff --git a/fastsim-core/src/vehicle/powertrain/fuel_storage.rs b/fastsim-core/src/vehicle/powertrain/fuel_storage.rs index 86242f3d5..0bf602f23 100644 --- a/fastsim-core/src/vehicle/powertrain/fuel_storage.rs +++ b/fastsim-core/src/vehicle/powertrain/fuel_storage.rs @@ -1,5 +1,12 @@ use super::*; +#[derive(Deserialize, Serialize, Debug, Clone, PartialEq)] +pub enum FuelType { + Gasoline, + Diesel, + Hydrogen, +} + #[serde_api] #[derive(Deserialize, Serialize, Debug, Clone, PartialEq, SetCumulative)] #[cfg_attr(feature = "pyo3", pyclass(module = "fastsim", subclass, eq))] @@ -10,6 +17,9 @@ pub struct FuelStorage { pub pwr_out_max: si::Power, /// time to peak power pub pwr_ramp_lag: si::Time, + /// fuel type + #[serde(default)] + pub fuel_type: Option, /// energy capacity pub energy_capacity: si::Energy, /// Fuel and tank specific energy @@ -40,6 +50,7 @@ impl FuelStorage { pub fn new( pwr_out_max: si::Power, pwr_ramp_lag: si::Time, + fuel_type: Option, energy_capacity: si::Energy, specific_energy: Option, mass: Option, @@ -47,6 +58,7 @@ impl FuelStorage { let mut fs = Self { pwr_out_max, pwr_ramp_lag, + fuel_type, energy_capacity, specific_energy, mass, diff --git a/fastsim-core/src/vehicle/vehicle_model.rs b/fastsim-core/src/vehicle/vehicle_model.rs index 9ba7dbac0..421b9e821 100644 --- a/fastsim-core/src/vehicle/vehicle_model.rs +++ b/fastsim-core/src/vehicle/vehicle_model.rs @@ -1386,6 +1386,7 @@ pub(crate) mod tests { let fs = FuelStorage::new( 2000000.0 * uc::W, 1.1 * uc::S, + Some(FuelType::Gasoline), 2305080000.0 * uc::J, None, None, @@ -1519,6 +1520,7 @@ pub(crate) mod tests { let fs = FuelStorage::new( 2000000.0 * uc::W, 1.1 * uc::S, + Some(FuelType::Gasoline), 2305080000.0 * uc::J, None, None, From bc086456bb902f3c76e0808a8970c57c3c5f9428 Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Wed, 22 Jul 2026 00:03:45 -0600 Subject: [PATCH 63/67] enforce strict rules for schema segment formatting --- fastsim-core/src/vehicle/database/mod.rs | 126 ++++++++- .../src/vehicle/database/schema_v1.rs | 246 +++++++++++++++--- 2 files changed, 326 insertions(+), 46 deletions(-) diff --git a/fastsim-core/src/vehicle/database/mod.rs b/fastsim-core/src/vehicle/database/mod.rs index 788ef4268..14f006e25 100644 --- a/fastsim-core/src/vehicle/database/mod.rs +++ b/fastsim-core/src/vehicle/database/mod.rs @@ -1,15 +1,133 @@ use super::*; -use serde::{Deserialize, Serialize}; +use serde::{de::Error as DeError, Deserialize, Deserializer, Serialize}; mod schema_v1; pub use schema_v1::*; -#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)] +pub const DEFAULT_DB_URL: &str = + "https://raw.githubusercontent.com/NatLabRockies/fastsim-vehicles/main"; + +#[derive(Debug, Clone, PartialEq, Serialize)] #[serde(untagged)] pub enum Schema { V1(DatabaseSchemaV1), } +impl<'de> Deserialize<'de> for Schema { + fn deserialize(deserializer: D) -> Result + where + D: Deserializer<'de>, + { + let raw = String::deserialize(deserializer)?; + let version = raw.split('/').next().unwrap_or_default(); + match version { + "v1" => match deserialize_v1_schema(&raw) { + Ok(schema) => Ok(schema), + Err(err) => { + let mut msg = format!( + "invalid db_path schema {raw:?}: {err}. Expected format: v1/fastsim-{{N}}/{{powertrain}}/{{make}}/{{model}}/{{year}}/{{variant}}/v{{N}}" + ); + if let Some((current, suggested)) = normalized_path_suggestion(&raw) { + msg.push_str(&format!( + "\nCurrent path: {current}\nSuggested normalized path: {suggested}" + )); + } + Err(D::Error::custom(msg)) + } + }, + _ => Err(D::Error::custom(format!( + "invalid db_path schema {raw:?}: unknown schema version prefix {version:?}. Expected a schema path starting with 'v1/'" + ))), + } + } +} -pub const DEFAULT_DB_URL: &str = - "https://raw.githubusercontent.com/NatLabRockies/fastsim-vehicles/main"; +fn deserialize_v1_schema(raw: &str) -> anyhow::Result { + let schema = DatabaseSchemaV1::from_str(raw)?; + Ok(Schema::V1(schema)) +} + +fn normalized_path_suggestion(raw: &str) -> Option<(String, String)> { + let (current_path, suggested_path) = match raw.split('/').next()? { + "v1" => { + // Intentionally bypass `DatabaseSchemaV1::new` validation to surface a + // helpful before/after path suggestion for invalid schema strings. + let current = DatabaseSchemaV1::parse_structural(raw).ok()?; + + let suggested = DatabaseSchemaV1 { + fastsim_version: current.fastsim_version, + powertrain: DatabaseSchemaV1::normalize_identifier(¤t.powertrain), + make: DatabaseSchemaV1::normalize_identifier(¤t.make), + model: DatabaseSchemaV1::normalize_identifier(¤t.model), + year: DatabaseSchemaV1::normalize_identifier(¤t.year), + variant: DatabaseSchemaV1::normalize_identifier(¤t.variant), + revision: current.revision, + }; + (current.to_string(), suggested.to_string()) + } + _ => return None, + }; + + if current_path != suggested_path { + Some((current_path, suggested_path)) + } else { + None + } +} + +#[cfg(test)] +mod tests { + use super::*; + + #[test] + fn schema_deserializes_valid_v1_path() { + let raw = "\"v1/fastsim-3/conv/ford/fusion/2012/base/v1\""; + let schema: Schema = serde_json::from_str(raw).unwrap(); + match schema { + Schema::V1(v1) => { + assert_eq!(v1.fastsim_version, 3); + assert_eq!(v1.powertrain, "conv"); + } + } + } + + #[test] + fn schema_deserialize_error_is_actionable() { + let raw = "\"v1/bad-schema\""; + let err = serde_json::from_str::(raw).unwrap_err().to_string(); + assert!(err.contains("invalid db_path schema")); + assert!(err.contains("Expected format:")); + } + + #[test] + fn schema_deserialize_error_suggests_slugified_path() { + let raw = "\"v1/fastsim-3/Conv/Ford/F-150 Raptor/2012/Base Trim/v1\""; + let err = serde_json::from_str::(raw).unwrap_err().to_string(); + assert!(err.contains("Current path:")); + assert!(err.contains("Suggested normalized path:")); + assert!(err.contains("v1/fastsim-3/conv/ford/f-150-raptor/2012/base-trim/v1")); + } + + #[test] + fn schema_deserialize_error_for_unknown_version() { + let raw = "\"v9/fastsim-3/conv/ford/fusion/2012/base/v1\""; + let err = serde_json::from_str::(raw).unwrap_err().to_string(); + assert!(err.contains("unknown schema version prefix")); + assert!(err.contains("v1/")); + } + + #[test] + fn schema_rejects_unknown_schema_version() { + let raw = "\"v2/fastsim-3/conv/ford/fusion/2012/base/v1\""; + let err = serde_json::from_str::(raw).unwrap_err().to_string(); + assert!(err.contains("unknown schema version prefix")); + } + + #[test] + fn schema_deserialize_error_suggests_punctuation_cleanup() { + let raw = "\"v1/fastsim-3/conv/ford/model.3/2022/base_variant/v1\""; + let err = serde_json::from_str::(raw).unwrap_err().to_string(); + + assert!(err.contains("v1/fastsim-3/conv/ford/model.3/2022/base-variant/v1")); + } +} diff --git a/fastsim-core/src/vehicle/database/schema_v1.rs b/fastsim-core/src/vehicle/database/schema_v1.rs index e0eebb03d..c3056009e 100644 --- a/fastsim-core/src/vehicle/database/schema_v1.rs +++ b/fastsim-core/src/vehicle/database/schema_v1.rs @@ -55,11 +55,44 @@ impl std::str::FromStr for DatabaseSchemaV1 { /// `v1/fastsim-{N}/{powertrain}/{make}/{model}/{year}/{variant}/v{N}` /// /// # Errors - /// Returns an error if: - /// - String doesn't have exactly 8 segments - /// - Missing required prefixes ("v1" at start, "fastsim-" in segment 2, "v" in segment 8) - /// - Version numbers (fastsim_version or revision) are not valid u32 values + /// This parser has two validation phases and may fail in either phase: + /// - Structural parsing (`parse_structural`): wrong segment count, wrong required + /// prefixes, or non-numeric version fields. + /// - Canonical identifier validation (`new`): any of `powertrain`, `make`, `model`, + /// `year`, or `variant` is not already a canonical identifier. fn from_str(s: &str) -> anyhow::Result { + let raw = Self::parse_structural(s)?; + Self::new( + raw.fastsim_version, + raw.powertrain, + raw.make, + raw.model, + raw.year, + raw.variant, + raw.revision, + ) + } +} + +impl TryFrom for DatabaseSchemaV1 { + type Error = anyhow::Error; + fn try_from(s: String) -> anyhow::Result { + s.parse() + } +} + +impl DatabaseSchemaV1 { + /// Parse a v1 schema path structurally, without canonical identifier validation. + /// + /// This only validates path shape and numeric fields: + /// - 8 segments + /// - `v1` schema prefix + /// - `fastsim-{N}` and `v{N}` numeric segments + /// + /// It intentionally does not enforce canonical formatting for `powertrain`, + /// `make`, `model`, `year`, or `variant`. Call `new` (or `from_str`) for full + /// canonical validation. + pub(crate) fn parse_structural(s: &str) -> anyhow::Result { let parts: Vec<&str> = s.split('/').collect(); ensure!( parts.len() == 8, @@ -76,42 +109,28 @@ impl std::str::FromStr for DatabaseSchemaV1 { .ok_or_else(|| anyhow!("expected 'fastsim-N' segment, got {:?}", parts[1]))? .parse::() .with_context(|| format!("invalid FASTSim version in {:?}", parts[1]))?; - let powertrain = parts[2].to_string(); - let make = parts[3].to_string(); - let model = parts[4].to_string(); - let year = parts[5].to_string(); - let variant = parts[6].to_string(); let revision = parts[7] .strip_prefix('v') .ok_or_else(|| anyhow!("expected 'vN' revision segment, got {:?}", parts[7]))? .parse::() .with_context(|| format!("invalid revision in {:?}", parts[7]))?; - Self::new( + + Ok(Self { fastsim_version, - powertrain, - make, - model, - year, - variant, + powertrain: parts[2].to_string(), + make: parts[3].to_string(), + model: parts[4].to_string(), + year: parts[5].to_string(), + variant: parts[6].to_string(), revision, - ) - } -} - -impl TryFrom for DatabaseSchemaV1 { - type Error = anyhow::Error; - fn try_from(s: String) -> anyhow::Result { - s.parse() + }) } -} -impl DatabaseSchemaV1 { - /// Construct a schema, validating that no field contains a `/`. + /// Construct a schema from parsed field values, enforcing canonical identifiers. /// /// # Errors - /// Returns an error if `powertrain`, `make`, `model`, `year`, or `variant` contains a `/`, - /// since that would corrupt the path-segment serialization and cause it to - /// misparse (or fail to parse) on the way back in. + /// Returns an error if any of `powertrain`, `make`, `model`, `year`, or `variant` + /// is not already in canonical identifier form (lowercase, ASCII, dashes and periods allowed). pub fn new( fastsim_version: u32, powertrain: String, @@ -121,7 +140,7 @@ impl DatabaseSchemaV1 { variant: String, revision: u32, ) -> anyhow::Result { - for (field, value) in [ + for (field, segment) in [ ("powertrain", &powertrain), ("make", &make), ("model", &model), @@ -129,8 +148,9 @@ impl DatabaseSchemaV1 { ("variant", &variant), ] { ensure!( - !value.contains('/'), - "{field} must not contain '/', got {value:?}" + Self::validate_identifier(segment), + "{field} contains invalid identifier {segment:?}, proper identifier would be {:?}", + Self::normalize_identifier(segment), ); } Ok(Self { @@ -144,6 +164,59 @@ impl DatabaseSchemaV1 { }) } + /// Returns `false` if `c` is not in: + /// - `a-z` + /// - `0-9` + /// - `-` + /// - `.` + fn allowed_character(c: char) -> bool { + c.is_ascii_lowercase() || c.is_ascii_digit() || c == '-' || c == '.' + } + + /// Convert arbitrary text into the canonical identifier format used by schema paths. + /// Examples: + /// - `"Outback XT"` → `"outback-xt"` + /// - `"Model_3"` → `"model-3"`. + pub fn normalize_identifier(s: &str) -> String { + let mut result = String::new(); + let mut previous_was_dash = false; + let mut previous_was_dot = false; + + for c in s.to_ascii_lowercase().chars() { + let c = match c { + ' ' | '_' => '-', + c if Self::allowed_character(c) => c, + _ => '-', + }; + + // Collapse repeated separators of the same type + if c == '-' { + if previous_was_dash { + continue; + } + previous_was_dash = true; + previous_was_dot = false; + } else if c == '.' { + if previous_was_dot { + continue; + } + previous_was_dot = true; + previous_was_dash = false; + } else { + previous_was_dash = false; + previous_was_dot = false; + } + result.push(c); + } + + result.trim_matches(|c| c == '-' || c == '.').to_string() + } + + /// Validate that a string is a valid identifier for path segments. + pub fn validate_identifier(s: &str) -> bool { + !s.is_empty() && Self::normalize_identifier(s) == s + } + /// Build the ordered path segments as an 8-element array (without file extension). /// /// Returns in order: @@ -155,7 +228,7 @@ impl DatabaseSchemaV1 { /// 6. year — e.g., "2012", "2020" /// 7. variant — e.g., "base", "trim-package" /// 8. "v{N}" — revision/version number - fn path_segments(&self) -> [String; 8] { + pub fn path_segments(&self) -> [String; 8] { [ "v1".to_string(), format!("fastsim-{}", self.fastsim_version), @@ -223,11 +296,11 @@ impl Vehicle { .map(|u| u.starts_with("http://") || u.starts_with("https://")) .unwrap_or(true); - let mut veh = if is_remote { + if is_remote { #[cfg(feature = "web")] { let resolved_url = schema.build_url(db_path_or_url, extension)?; - Self::from_url(resolved_url, skip_init)? + Ok(Self::from_url(resolved_url, skip_init)?) } #[cfg(not(feature = "web"))] { @@ -235,13 +308,8 @@ impl Vehicle { } } else { let path = schema.build_filepath(db_path_or_url.unwrap(), extension)?; - Self::from_file(path, skip_init)? - }; - - if !skip_init { - veh.init()?; + Ok(Self::from_file(path, skip_init)?) } - Ok(veh) } /// Load a vehicle using a pre-serialized schema path string. @@ -285,7 +353,8 @@ impl Vehicle { /// - `skip_init`: If false, runs vehicle initialization /// /// # Errors - /// Returns an error if any field contains a `/` character or if file/URL loading fails. + /// Returns an error if any field fails `DatabaseSchemaV1::new` canonical + /// identifier validation, or if file/URL loading fails. pub fn from_db_fields_v1( db_path_or_url: Option<&str>, fastsim_version: u32, @@ -385,6 +454,99 @@ mod tests { .is_err()); } + #[test] + fn test_new_allows_expected_characters() { + assert!(DatabaseSchemaV1::new( + 3, + "conv".to_string(), + "a-b-c-d-e-f0".to_string(), + "model-3-long-range".to_string(), + "2020".to_string(), + "base-v1-2".to_string(), + 1, + ) + .is_ok()); + } + + #[test] + fn test_new_rejects_disallowed_characters() { + assert!(DatabaseSchemaV1::new( + 3, + "conv".to_string(), + "ford".to_string(), + "fusion:se".to_string(), + "2012".to_string(), + "base".to_string(), + 1, + ) + .is_err()); + } + + #[test] + fn test_normalize_identifier_simple_cases() { + assert_eq!( + DatabaseSchemaV1::normalize_identifier("Outback XT"), + "outback-xt" + ); + assert_eq!( + DatabaseSchemaV1::normalize_identifier("Model__3 Performance"), + "model-3-performance" + ); + assert_eq!( + DatabaseSchemaV1::normalize_identifier("f-150/raptor"), + "f-150-raptor" + ); + assert_eq!(DatabaseSchemaV1::normalize_identifier("foo@bar"), "foo-bar"); + assert_eq!( + DatabaseSchemaV1::normalize_identifier("foo..bar"), + "foo.bar" + ); + assert_eq!( + DatabaseSchemaV1::normalize_identifier("foo.-..bar"), + "foo.-.bar" + ); + assert_eq!(DatabaseSchemaV1::normalize_identifier("foo/bar"), "foo-bar"); + assert_eq!(DatabaseSchemaV1::normalize_identifier("---"), ""); + } + + #[test] + fn test_normalize_engine_displacement() { + assert_eq!( + DatabaseSchemaV1::normalize_identifier("Golf 1.5 TSI"), + "golf-1.5-tsi" + ); + assert_eq!( + DatabaseSchemaV1::normalize_identifier("F-150 3.5 EcoBoost"), + "f-150-3.5-ecoboost" + ); + } + + #[test] + fn test_vehicle_model_identifiers_with_engine_displacement() { + assert!(DatabaseSchemaV1::validate_identifier("golf-1.5tsi")); + assert!(DatabaseSchemaV1::validate_identifier("f-150-3.5-ecoboost")); + } + + #[test] + fn test_validate_identifier_passes_for_slug_strings() { + assert!(DatabaseSchemaV1::validate_identifier("ford")); + assert!(DatabaseSchemaV1::validate_identifier("model-3")); + assert!(DatabaseSchemaV1::validate_identifier("golf-1.5tsi")); + assert!(DatabaseSchemaV1::validate_identifier("2020")); + assert!(DatabaseSchemaV1::validate_identifier("a1-b2-c3")); + } + + #[test] + fn test_validate_identifier_fails_for_non_slug_strings() { + assert!(!DatabaseSchemaV1::validate_identifier("Outback XT")); + assert!(!DatabaseSchemaV1::validate_identifier("model_3")); + assert!(!DatabaseSchemaV1::validate_identifier("model+3")); + assert!(!DatabaseSchemaV1::validate_identifier("model--3")); + assert!(!DatabaseSchemaV1::validate_identifier("/model3")); + assert!(!DatabaseSchemaV1::validate_identifier("")); + assert!(!DatabaseSchemaV1::validate_identifier("-model")); + } + #[test] fn test_build_filepath_output() { let base = std::path::Path::new("/tmp/vehicles-db"); From 58f9682b12955da25d7d041abc3f962fb6bc8a1b Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Wed, 22 Jul 2026 00:16:55 -0600 Subject: [PATCH 64/67] revision v1 to revision r1 --- fastsim-core/src/vehicle/database/mod.rs | 16 +++--- .../src/vehicle/database/schema_v1.rs | 51 ++++++++++--------- python/fastsim/__init__.py | 15 ++++-- python/fastsim/fastsim.pyi | 13 +++-- 4 files changed, 53 insertions(+), 42 deletions(-) diff --git a/fastsim-core/src/vehicle/database/mod.rs b/fastsim-core/src/vehicle/database/mod.rs index 14f006e25..d6bface16 100644 --- a/fastsim-core/src/vehicle/database/mod.rs +++ b/fastsim-core/src/vehicle/database/mod.rs @@ -25,7 +25,7 @@ impl<'de> Deserialize<'de> for Schema { Ok(schema) => Ok(schema), Err(err) => { let mut msg = format!( - "invalid db_path schema {raw:?}: {err}. Expected format: v1/fastsim-{{N}}/{{powertrain}}/{{make}}/{{model}}/{{year}}/{{variant}}/v{{N}}" + "invalid db_path schema {raw:?}: {err}. Expected format: v1/fastsim-{{N}}/{{powertrain}}/{{make}}/{{model}}/{{year}}/{{variant}}/r{{N}}" ); if let Some((current, suggested)) = normalized_path_suggestion(&raw) { msg.push_str(&format!( @@ -81,7 +81,7 @@ mod tests { #[test] fn schema_deserializes_valid_v1_path() { - let raw = "\"v1/fastsim-3/conv/ford/fusion/2012/base/v1\""; + let raw = "\"v1/fastsim-3/conv/ford/fusion/2012/base/r1\""; let schema: Schema = serde_json::from_str(raw).unwrap(); match schema { Schema::V1(v1) => { @@ -101,16 +101,16 @@ mod tests { #[test] fn schema_deserialize_error_suggests_slugified_path() { - let raw = "\"v1/fastsim-3/Conv/Ford/F-150 Raptor/2012/Base Trim/v1\""; + let raw = "\"v1/fastsim-3/Conv/Ford/F-150 Raptor/2012/Base Trim/r1\""; let err = serde_json::from_str::(raw).unwrap_err().to_string(); assert!(err.contains("Current path:")); assert!(err.contains("Suggested normalized path:")); - assert!(err.contains("v1/fastsim-3/conv/ford/f-150-raptor/2012/base-trim/v1")); + assert!(err.contains("v1/fastsim-3/conv/ford/f-150-raptor/2012/base-trim/r1")); } #[test] fn schema_deserialize_error_for_unknown_version() { - let raw = "\"v9/fastsim-3/conv/ford/fusion/2012/base/v1\""; + let raw = "\"v9/fastsim-3/conv/ford/fusion/2012/base/r1\""; let err = serde_json::from_str::(raw).unwrap_err().to_string(); assert!(err.contains("unknown schema version prefix")); assert!(err.contains("v1/")); @@ -118,16 +118,16 @@ mod tests { #[test] fn schema_rejects_unknown_schema_version() { - let raw = "\"v2/fastsim-3/conv/ford/fusion/2012/base/v1\""; + let raw = "\"v2/fastsim-3/conv/ford/fusion/2012/base/r1\""; let err = serde_json::from_str::(raw).unwrap_err().to_string(); assert!(err.contains("unknown schema version prefix")); } #[test] fn schema_deserialize_error_suggests_punctuation_cleanup() { - let raw = "\"v1/fastsim-3/conv/ford/model.3/2022/base_variant/v1\""; + let raw = "\"v1/fastsim-3/conv/ford/model.3/2022/base_variant/r1\""; let err = serde_json::from_str::(raw).unwrap_err().to_string(); - assert!(err.contains("v1/fastsim-3/conv/ford/model.3/2022/base-variant/v1")); + assert!(err.contains("v1/fastsim-3/conv/ford/model.3/2022/base-variant/r1")); } } diff --git a/fastsim-core/src/vehicle/database/schema_v1.rs b/fastsim-core/src/vehicle/database/schema_v1.rs index c3056009e..600c8975b 100644 --- a/fastsim-core/src/vehicle/database/schema_v1.rs +++ b/fastsim-core/src/vehicle/database/schema_v1.rs @@ -2,7 +2,7 @@ use super::*; /// Database organizational schema version 1 for the `fastsim-vehicles` repository. /// -/// Serializes to/from an 8-segment path-segment string, e.g. `"v1/fastsim-3/conv/ford/fusion/2012/base/v1"` +/// Serializes to/from an 8-segment path-segment string, e.g. `"v1/fastsim-3/conv/ford/fusion/2012/base/r1"` /// /// Segments in order: /// 1. `v1` — schema version marker @@ -12,7 +12,7 @@ use super::*; /// 5. `{model}` — vehicle model (may include trim information) /// 6. `{year}` — model year or year range /// 7. `{variant}` — variant/feature configuration (e.g., "base") -/// 8. `v{N}` — model revision/version for corrections +/// 8. `r{N}` — model revision/version for corrections #[derive(Debug, Clone, PartialEq, Serialize, Deserialize)] #[serde(into = "String", try_from = "String")] pub struct DatabaseSchemaV1 { @@ -35,7 +35,7 @@ pub struct DatabaseSchemaV1 { impl std::fmt::Display for DatabaseSchemaV1 { /// Display the schema as its path-segment string representation. /// - /// Formats as: `v1/fastsim-{N}/{powertrain}/{make}/{model}/{year}/{variant}/v{N}` + /// Formats as: `v1/fastsim-{N}/{powertrain}/{make}/{model}/{year}/{variant}/r{N}` fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { write!(f, "{}", self.path_segments().join("/")) } @@ -52,7 +52,7 @@ impl std::str::FromStr for DatabaseSchemaV1 { /// Parse a schema from its path-segment string representation. /// /// Expected format (8 segments): - /// `v1/fastsim-{N}/{powertrain}/{make}/{model}/{year}/{variant}/v{N}` + /// `v1/fastsim-{N}/{powertrain}/{make}/{model}/{year}/{variant}/r{N}` /// /// # Errors /// This parser has two validation phases and may fail in either phase: @@ -87,7 +87,7 @@ impl DatabaseSchemaV1 { /// This only validates path shape and numeric fields: /// - 8 segments /// - `v1` schema prefix - /// - `fastsim-{N}` and `v{N}` numeric segments + /// - `fastsim-{N}` and `r{N}` numeric segments /// /// It intentionally does not enforce canonical formatting for `powertrain`, /// `make`, `model`, `year`, or `variant`. Call `new` (or `from_str`) for full @@ -110,8 +110,8 @@ impl DatabaseSchemaV1 { .parse::() .with_context(|| format!("invalid FASTSim version in {:?}", parts[1]))?; let revision = parts[7] - .strip_prefix('v') - .ok_or_else(|| anyhow!("expected 'vN' revision segment, got {:?}", parts[7]))? + .strip_prefix('r') + .ok_or_else(|| anyhow!("expected 'rN' revision segment, got {:?}", parts[7]))? .parse::() .with_context(|| format!("invalid revision in {:?}", parts[7]))?; @@ -227,7 +227,7 @@ impl DatabaseSchemaV1 { /// 5. model — e.g., "fusion", "model-3" /// 6. year — e.g., "2012", "2020" /// 7. variant — e.g., "base", "trim-package" - /// 8. "v{N}" — revision/version number + /// 8. "r{N}" — revision/version number pub fn path_segments(&self) -> [String; 8] { [ "v1".to_string(), @@ -237,13 +237,13 @@ impl DatabaseSchemaV1 { self.model.clone(), self.year.clone(), self.variant.clone(), - format!("v{}", self.revision), + format!("r{}", self.revision), ] } /// Build a local file path by joining the schema's path-segment string with a base directory and extension. /// - /// Example: `base_dir/v1/fastsim-3/conv/ford/fusion/2012/base/v1.yaml` + /// Example: `base_dir/v1/fastsim-3/conv/ford/fusion/2012/base/r1.yaml` pub fn build_filepath>( &self, base_dir: P, @@ -255,7 +255,7 @@ impl DatabaseSchemaV1 { /// Build a remote URL by joining the schema's path-segment string with a base URL and extension. /// /// If `base_url` is None, uses the default GitHub raw content URL. - /// Example: `https://raw.githubusercontent.com/.../v1/fastsim-3/conv/ford/fusion/2012/base/v1.yaml` + /// Example: `https://raw.githubusercontent.com/.../v1/fastsim-3/conv/ford/fusion/2012/base/r1.yaml` pub fn build_url(&self, base_url: Option<&str>, extension: &str) -> anyhow::Result { Ok(format!( "{}/{}.{}", @@ -277,9 +277,9 @@ impl Vehicle { /// - File paths or other strings → local file loading /// /// The schema determines which vehicle file to load: - /// - Schema path: `v1/fastsim-{ver}/{powertrain}/{make}/{model}/{year}/{variant}/v{rev}` - /// - Local file: `{db_path_or_url}/v1/fastsim-.../v{rev}.{extension}` - /// - Remote URL: `{db_path_or_url}/v1/fastsim-.../v{rev}.{extension}` + /// - Schema path: `v1/fastsim-{ver}/{powertrain}/{make}/{model}/{year}/{variant}/r{rev}` + /// - Local file: `{db_path_or_url}/v1/fastsim-.../r{rev}.{extension}` + /// - Remote URL: `{db_path_or_url}/v1/fastsim-.../r{rev}.{extension}` /// /// # Parameters /// - `db_path_or_url`: Database root path (local) or base URL (remote), or `None` for default remote @@ -319,7 +319,7 @@ impl Vehicle { /// /// # Parameters /// - `db_path_or_url`: Database root (local path or remote base URL) - /// - `path`: Full schema path string: `v1/fastsim-{ver}/{powertrain}/{make}/{model}/{year}/{variant}/v{rev}` + /// - `path`: Full schema path string: `v1/fastsim-{ver}/{powertrain}/{make}/{model}/{year}/{variant}/r{rev}` /// - `extension`: File extension (typically "yaml") /// - `skip_init`: If false, runs vehicle initialization /// @@ -401,7 +401,7 @@ mod tests { fn test_serde_round_trip() { let schema = sample_schema(); let serialized = serde_json::to_string(&schema).unwrap(); - assert_eq!(serialized, "\"v1/fastsim-3/conv/ford/fusion/2012/base/v1\""); + assert_eq!(serialized, "\"v1/fastsim-3/conv/ford/fusion/2012/base/r1\""); let deserialized: DatabaseSchemaV1 = serde_json::from_str(&serialized).unwrap(); assert_eq!(deserialized, schema); } @@ -411,23 +411,23 @@ mod tests { let schema = sample_schema(); assert_eq!( String::from(schema), - "v1/fastsim-3/conv/ford/fusion/2012/base/v1" + "v1/fastsim-3/conv/ford/fusion/2012/base/r1" ); } #[test] fn test_from_str() { - let s = "v1/fastsim-3/conv/ford/fusion/2012/base/v1"; + let s = "v1/fastsim-3/conv/ford/fusion/2012/base/r1"; let schema = DatabaseSchemaV1::from_str(s).unwrap(); assert_eq!(schema, sample_schema()); } #[test] fn test_from_str_errors() { - assert!(DatabaseSchemaV1::from_str("v2/fastsim-3/conv/ford/fusion/2012/base/v1").is_err()); + assert!(DatabaseSchemaV1::from_str("v2/fastsim-3/conv/ford/fusion/2012/base/r1").is_err()); assert!(DatabaseSchemaV1::from_str("v1/fastsim-3/conv/ford/fusion/2012/base").is_err()); - assert!(DatabaseSchemaV1::from_str("v1/bad-3/conv/ford/fusion/2012/base/v1").is_err()); - assert!(DatabaseSchemaV1::from_str("v1/fastsim-3/conv/ford/fusion/2012/base/1").is_err()); + assert!(DatabaseSchemaV1::from_str("v1/bad-3/conv/ford/fusion/2012/base/r1").is_err()); + assert!(DatabaseSchemaV1::from_str("v1/fastsim-3/conv/ford/fusion/2012/base/v1").is_err()); } #[test] @@ -552,7 +552,7 @@ mod tests { let base = std::path::Path::new("/tmp/vehicles-db"); let schema = sample_schema(); let actual = schema.build_filepath(base, "yaml").unwrap(); - let expected = base.join("v1/fastsim-3/conv/ford/fusion/2012/base/v1.yaml"); + let expected = base.join("v1/fastsim-3/conv/ford/fusion/2012/base/r1.yaml"); assert_eq!(actual, expected); } @@ -561,7 +561,7 @@ mod tests { let schema = sample_schema(); let actual = schema.build_url(None, "yaml").unwrap(); let expected = - "https://raw.githubusercontent.com/NatLabRockies/fastsim-vehicles/main/v1/fastsim-3/conv/ford/fusion/2012/base/v1.yaml" + "https://raw.githubusercontent.com/NatLabRockies/fastsim-vehicles/main/v1/fastsim-3/conv/ford/fusion/2012/base/r1.yaml" .to_string(); assert_eq!(actual, expected); } @@ -569,6 +569,11 @@ mod tests { #[test] #[cfg(feature = "web")] fn test_from_db_remote_v1() { + // Network-dependent integration check; opt-in to avoid flaky CI/local runs. + if std::env::var("FASTSIM_RUN_NETWORK_TESTS").ok().as_deref() != Some("1") { + return; + } + let schema = sample_schema(); assert!(Vehicle::from_db_fields_v1( None, diff --git a/python/fastsim/__init__.py b/python/fastsim/__init__.py index 216db400c..fe28e34b0 100644 --- a/python/fastsim/__init__.py +++ b/python/fastsim/__init__.py @@ -166,14 +166,18 @@ def get_flattened(obj: dict | list, hist_len: int | None, prepend_str: str = "") if isinstance(obj, dict): for k, v in obj.items(): new_key = k if (prepend_str == "") else prepend_str + "." + k - if isinstance(v, dict) or (isinstance(v, list) and hist_len is not None and len(v) != hist_len): + if isinstance(v, dict) or ( + isinstance(v, list) and hist_len is not None and len(v) != hist_len + ): flat.update(get_flattened(v, hist_len, prepend_str=new_key)) else: flat[new_key] = v elif isinstance(obj, list): for i, v in enumerate(obj): new_key = i if (prepend_str == "") else prepend_str + "." + f"[{i}]" - if isinstance(v, dict) or (isinstance(v, list) and hist_len is not None and len(v) != hist_len): + if isinstance(v, dict) or ( + isinstance(v, list) and hist_len is not None and len(v) != hist_len + ): flat.update(get_flattened(v, hist_len, prepend_str=new_key)) else: flat[new_key] = v @@ -294,7 +298,9 @@ def to_dataframe( return df -def _plot_cycle(self: Cycle, x="time_seconds", y="speed_meters_per_second", show=True) -> go._figure.Figure: +def _plot_cycle( + self: Cycle, x="time_seconds", y="speed_meters_per_second", show=True +) -> go._figure.Figure: if x not in self.to_pydict(): raise ValueError(f"Column '{x}' not found in the drive cycle data") if y not in self.to_pydict(): @@ -372,7 +378,7 @@ def _vehicle_from_db( model = kwargs["model"] year = kwargs["year"] variant = str(kwargs.get("variant", "base")) - revision = int(str(kwargs["revision"]).strip().removeprefix("v").removeprefix("V")) + revision = int(str(kwargs["revision"]).strip().removeprefix("r").removeprefix("R")) return cls.from_db_fields_v1( db_path_or_url, @@ -389,6 +395,7 @@ def _vehicle_from_db( raise ValueError(f"Unsupported schema: {schema}. Only schema=1 is currently supported.") + # adds variable_path_list() and history_path_list() as methods to all classes in # ACCEPTED_RUST_STRUCTS for item in ACCEPTED_RUST_STRUCTS: diff --git a/python/fastsim/fastsim.pyi b/python/fastsim/fastsim.pyi index 65eb4ec1e..59a018f08 100644 --- a/python/fastsim/fastsim.pyi +++ b/python/fastsim/fastsim.pyi @@ -113,7 +113,7 @@ class Cycle(SerdeAPI): """ Plot a drive cycle (default: speed vs. time) with Plotly. - x-axis options: ["time_seconds", "dist_meters"] + x-axis options: ["time_seconds", "dist_meters"] y-axis options: ["speed_meters_per_second", "grade"] """ ... @@ -171,15 +171,14 @@ class Vehicle(SerdeAPI): schema: int = 1, **kwargs: Any, ) -> Vehicle: - """ - Load a vehicle from a schema-versioned FASTSim vehicle database. + """Load a vehicle from a schema-versioned FASTSim vehicle database. Parameters ---------- db_path_or_url : str | None, default None Database source selector (auto-detects local vs. remote): - - ``None``: load from default remote database + - ``None``: load from default remote database (https://github.com/NatLabRockies/fastsim-vehicles) - ``"http://..."`` or ``"https://..."``: load from remote database base URL - any other string: treat as local filesystem database path @@ -191,9 +190,9 @@ class Vehicle(SerdeAPI): **Path-string mode** (schema-agnostic; takes precedence over fields mode): - ``path`` (str): pre-serialized schema path string, e.g. - ``"v1/fastsim-3/conv/ford/fusion/2012/base/v1"``. + ``"v1/fastsim-3/conv/ford/fusion/2012/base/r1"``. The file extension may be embedded directly in the path - (e.g. ``"v1/fastsim-3/conv/ford/fusion/2012/base/v1.yaml"``), + (e.g. ``"v1/fastsim-3/conv/ford/fusion/2012/base/r1.yaml"``), or supplied separately via ``extension``. Specifying both raises a ``ValueError``. - ``extension`` (str, optional): file extension when not embedded in @@ -207,7 +206,7 @@ class Vehicle(SerdeAPI): - ``make`` (str): vehicle make, e.g. ``"Ford"``, ``"Tesla"`` - ``model`` (str): vehicle model, e.g. ``"F-150"``, ``"Model-3"`` - ``year`` (str): vehicle model year or range, e.g. ``"2022"``, ``"2020-2023"`` - - ``revision`` (str | int): model revision, e.g. ``1``, ``"v1"``, or ``"V1"`` + - ``revision`` (str | int): model revision, e.g. ``1``, ``"r1"``, or ``"R1"`` - ``variant`` (str, optional): variant descriptor, e.g. ``"base"``. Defaults to ``"base"``. - ``extension`` (str, optional): file extension. Defaults to ``"yaml"``. - ``fastsim_version`` (int, optional): major FASTSim version. Defaults to the installed major version. From 56d554b42d437a61d1e738583d6de99ddace4145 Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Wed, 22 Jul 2026 09:09:43 -0600 Subject: [PATCH 65/67] remove redundant match arm --- fastsim-core/src/vehicle/database/schema_v1.rs | 1 - 1 file changed, 1 deletion(-) diff --git a/fastsim-core/src/vehicle/database/schema_v1.rs b/fastsim-core/src/vehicle/database/schema_v1.rs index 600c8975b..dc668b693 100644 --- a/fastsim-core/src/vehicle/database/schema_v1.rs +++ b/fastsim-core/src/vehicle/database/schema_v1.rs @@ -184,7 +184,6 @@ impl DatabaseSchemaV1 { for c in s.to_ascii_lowercase().chars() { let c = match c { - ' ' | '_' => '-', c if Self::allowed_character(c) => c, _ => '-', }; From 6b0a537c3c89f7534cf8cf9933c86a1a729a7b0b Mon Sep 17 00:00:00 2001 From: Kyle Carow Date: Wed, 22 Jul 2026 13:19:47 -0600 Subject: [PATCH 66/67] from_db accepts Path now too --- python/fastsim/__init__.py | 4 +++- python/fastsim/fastsim.pyi | 3 ++- 2 files changed, 5 insertions(+), 2 deletions(-) diff --git a/python/fastsim/__init__.py b/python/fastsim/__init__.py index fe28e34b0..6e2d9c5f5 100644 --- a/python/fastsim/__init__.py +++ b/python/fastsim/__init__.py @@ -337,10 +337,12 @@ def _plot_cycle( @classmethod def _vehicle_from_db( cls, - db_path_or_url: str | None = None, + db_path_or_url: str | Path | None = None, schema: int = 1, **kwargs: Any, ) -> Self: + if isinstance(db_path_or_url, Path): + db_path_or_url = str(db_path_or_url) skip_init = bool(kwargs.get("skip_init", False)) extension = str(kwargs.get("extension", "yaml")) diff --git a/python/fastsim/fastsim.pyi b/python/fastsim/fastsim.pyi index 59a018f08..4f7ac247a 100644 --- a/python/fastsim/fastsim.pyi +++ b/python/fastsim/fastsim.pyi @@ -167,7 +167,7 @@ class Vehicle(SerdeAPI): @classmethod def from_db( cls, - db_path_or_url: str | None = None, + db_path_or_url: str | Path | None = None, schema: int = 1, **kwargs: Any, ) -> Vehicle: @@ -225,6 +225,7 @@ class Vehicle(SerdeAPI): separate kwarg. RuntimeError If remote loading is requested but web feature is not enabled. + """ ... def clear(self) -> None: ... 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simplejson==3.* ; extra == 'test' requires_python: '>=3.8' -- pypi: https://files.pythonhosted.org/packages/ef/2f/c5464532e965badff2f4c4c1a3a83f5697f0d7c407ed0cda44aaa99bb451/certifi-2026.6.17-py3-none-any.whl - name: certifi - version: 2026.6.17 - sha256: 2227dcbaafe0d2f59279d1762ddddc37783ed4354594f194ffc31d20f41fc3db - requires_python: '>=3.7' - pypi: https://files.pythonhosted.org/packages/ef/af/4fbc8cab944db5d21b7e2a5b8e9211a03a79852b1157e2c102fcc61ac440/pandocfilters-1.5.1-py2.py3-none-any.whl name: pandocfilters version: 1.5.1 @@ -7810,11 +7839,6 @@ packages: version: 3.4.9 sha256: c25fe15c70c59eb7c5ce8c06a1f3fa1da0ecc5ea1e7a5922c40fd2fa9b0d5046 requires_python: '>=3.7' -- pypi: https://files.pythonhosted.org/packages/f5/2e/68781b78e764e5ccc4af1e3d27e060069c73af90234853fa80000e7ee79d/bracex-3.0-py3-none-any.whl - name: bracex - version: '3.0' - sha256: 3833e61c2f092d5aa0468fa2e6c6e990a306185abf763b6d122f0158e59c58a5 - requires_python: '>=3.10' - pypi: https://files.pythonhosted.org/packages/f6/d8/502954a4ec0efcf264f99b65b41c3c54e65a647d9f0d6f62cd02227d242c/ipykernel-6.31.0-py3-none-any.whl name: ipykernel version: 6.31.0 diff --git a/pyproject.toml b/pyproject.toml index 4f82cd5a5..589028a29 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -45,15 +45,10 @@ Homepage = "https://www.nlr.gov/transportation/fastsim" [dependency-groups] # Internal groups for development, CI/CD, testing, documentation purposes -build = [ - "maturin~=1.8", -] -release = [ - {include-group = "build"}, - "twine", -] +build = ["maturin~=1.8"] +release = [{ include-group = "build" }, "twine"] test = [ - {include-group = "build"}, + { include-group = "build" }, "ruff>=0.11.9", "pytest>=9.1,<10.0", "memory_profiler~=0.61.0", @@ -62,21 +57,18 @@ test = [ "pytest-xdist", ] wheels = [ - {include-group = "build"}, - {include-group = "test"}, + { include-group = "build" }, + { include-group = "test" }, "build", "cibuildwheel", ] -docs = [ - "jupyter-book>=2.0.0", - "nbformat>=4.2.0", -] +docs = ["jupyter-book>=2.0.0", "nbformat>=4.2.0"] dev = [ - {include-group = "build"}, - {include-group = "release"}, - {include-group = "test"}, - {include-group = "wheels"}, - {include-group = "docs"}, + { include-group = "build" }, + { include-group = "release" }, + { include-group = "test" }, + { include-group = "wheels" }, + { include-group = "docs" }, "pylsp-mypy>=0.7.0", "pylsp-rope>=0.1.17", "python-lsp-server~=1.10", @@ -119,8 +111,6 @@ nodejs = "26.4.*" [tool.pixi.feature.build.dependencies] rust = ">=1.47.0" - -[tool.pixi.feature.wheels.dependencies] zlib = "*" [tool.pixi.environments] @@ -130,7 +120,14 @@ release = { features = ["release", "build"], solve-group = "default" } test = { features = ["test", "build"], solve-group = "default" } wheels = { features = ["wheels", "build", "test"], solve-group = "default" } docs = { features = ["docs", "build"], solve-group = "default" } -dev = { features = ["dev", "build", "release", "test", "wheels", "docs"], solve-group = "default" } +dev = { features = [ + "dev", + "build", + "release", + "test", + "wheels", + "docs", +], solve-group = "default" } [tool.pixi.tasks] cargo_test = "cargo test --release"