diff --git a/.github/workflows/docs.yaml b/.github/workflows/docs.yaml
index a71172d..5aa929b 100644
--- a/.github/workflows/docs.yaml
+++ b/.github/workflows/docs.yaml
@@ -17,7 +17,7 @@ jobs:
 
     steps:
       - name: Check out repo
-        uses: actions/checkout@v5
+        uses: actions/checkout@v6
         with:
           fetch-depth: 0
 
diff --git a/.github/workflows/release.yaml b/.github/workflows/release.yaml
index 6d02e52..1c4deff 100644
--- a/.github/workflows/release.yaml
+++ b/.github/workflows/release.yaml
@@ -16,7 +16,7 @@ jobs:
     permissions:
       id-token: write
     steps:
-      - uses: actions/checkout@v5
+      - uses: actions/checkout@v6
 
       - uses: actions/setup-python@v6
         with:
diff --git a/.github/workflows/tests.yaml b/.github/workflows/tests.yaml
index 5ff5d02..fb077b8 100644
--- a/.github/workflows/tests.yaml
+++ b/.github/workflows/tests.yaml
@@ -24,7 +24,7 @@ jobs:
 
     steps:
       - name: Check out repo
-        uses: actions/checkout@v5
+        uses: actions/checkout@v6
 
       - name: Set up Python ${{ matrix.python-version }}
         uses: actions/setup-python@v6
diff --git a/.gitignore b/.gitignore
index c2ade99..7691fae 100644
--- a/.gitignore
+++ b/.gitignore
@@ -58,6 +58,7 @@ dmypy.json
 
 # Editors ignores
 .vscode*
+.claude/
 
 # Environments
 .env
diff --git a/CHANGELOG.md b/CHANGELOG.md
index a0b13d9..8b26b8f 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -4,6 +4,43 @@ All notable changes to this project will be documented in this file.
 
 The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
 
+## [0.2.2]
+
+### Added
+- **Grid layouts for missing plot types**: `bruker2d_grid`, `dmfit1d_grid`, `dmfit2d_grid`
+- **Stacked plots**: Support for stacking multiple 1D spectra (Bruker and DMFit)
+- **Per-line deconvolution colors**: `deconv_color` accepts a list of colors for individual DMFit deconvolution lines
+- **Per-subplot limits**: `xlim` and `ylim` accept list of tuples for per-subplot control in grid functions
+- **Tag filtering**: `SpinCollection.plot(filter=...)` to plot a subset of spectra
+- **Unknown kwarg warnings**: Plot functions now warn on unrecognized keyword arguments instead of silently ignoring them
+- **Citation file**: Added `CITATION.cff` for standardized citation metadata (#31)
+- **Default tags**: `SpinCollection.append()` auto-generates tags (`Spin0`, `Spin1`, ...) when none provided
+
+### Changed
+- **API consistency**: Renamed parameters for consistency across all plot functions:
+  - `colors` → `color`, `proj_colors` → `proj_color`
+  - `homo` → `homonuclear`, `diag` → `diagonal`
+  - `labels` → `titles` in `dmfit1d_grid` (for subplot titles)
+- **Unified input types**: All plot functions now accept spectrum dicts; `Spin.plot()` handles extraction
+- **Standardized save logic**: All functions use consistent defaults (PNG format, dpi=300)
+- **Projection keys**: Standardized to `f1`/`f2` across Bruker and DMFit 2D plots
+- **SpinCollection.tag setter**: Now disallows `None` and syncs the internal dict key
+
+### Fixed
+- `read_nmr()` now accepts `tags="string"` for single paths (no longer requires a list)
+- `__init__.py` exports all public plot functions
+- `dmfit1d` now uses global DEFAULTS dict like other functions
+- Extracted shared helpers to reduce code duplication in `plot.py`
+- Color list indexing: `color` and `deconv_color` now use modulo indexing to cycle colors when fewer are provided than spectra or deconvolution lines
+- Unreachable `elif` in `bruker2d`: moved `cmap`/`color` validation before the conditional chain
+- Grid plots now correctly route `SpinCollection` tags to subplot `titles` instead of legend `labels`
+- **Docs**: Fixed `mkdocstrings-python` 2.x configuration and excluded internal `_helpers` from reference docs
+
+## [0.2.1]
+
+### Fixed
+- Fixed plotting of Bruker homonuclear spectra acquired without CP (cross-polarization). Reported by Andrej Šmelko (#25, #26)
+
 ## [0.2.0]
 
 ### Added
diff --git a/CITATION.cff b/CITATION.cff
new file mode 100644
index 0000000..e38a888
--- /dev/null
+++ b/CITATION.cff
@@ -0,0 +1,49 @@
+cff-version: 1.2.0
+title: SpinPlots
+message: >-
+  If you use this software, please cite it using the
+  metadata from this file.
+type: software
+authors:
+  - given-names: Carlos
+    family-names: Bornes
+    affiliation: >-
+      Department of Physical and Macromolecular Chemistry,
+      Faculty of Science, Charles University in Prague, 128
+      43, Prague, Czech Republic
+    orcid: 'https://orcid.org/0000-0002-0325-2356'
+  - given-names: Daniel
+    family-names: Pereira
+    affiliation: >-
+      Department of Chemistry & CICECO−Aveiro Institute of
+      Materials, University of Aveiro, 3810-193, Aveiro,
+      Portugal
+    orcid: 'https://orcid.org/0000-0001-7329-2516'
+  - given-names: Márcio
+    family-names: Soares
+    affiliation: >-
+      Department of Chemistry & CICECO−Aveiro Institute of
+      Materials, University of Aveiro, 3810-193, Aveiro,
+      Portugal
+    orcid: 'https://orcid.org/0000-0001-8012-2662'
+identifiers:
+  - type: doi
+    value: 10.5281/zenodo.14041925
+repository-code: 'https://github.com/nuts-org/spinplots'
+url: 'https://nuts-org.github.io/spinplots/'
+abstract: >-
+  SpinPlots simplifies NMR spectroscopy visualization in
+  Python. It provides one-line plotting for 1D and 2D Bruker
+  and DMFit spectra with automatic axis labelling,
+  publication-ready defaults, and support for overlays,
+  stacking, and grid layouts.
+keywords:
+  - NMR
+  - spectroscopy
+  - visualization
+  - Bruker
+  - DMFit
+  - Python
+license: MIT
+version: v0.2.2
+date-released: '2025-02-06'
diff --git a/README.md b/README.md
index 4cd7a6b..1ea93e7 100644
--- a/README.md
+++ b/README.md
@@ -2,17 +2,34 @@
 
 [![DOI](https://zenodo.org/badge/782205685.svg)](https://doi.org/10.5281/zenodo.14041925)
 
-SpinPlots is a Python package designed to streamline the process of loading and plotting NMR data. Built on top of the [NMRglue](https://www.nmrglue.com/), SpinPlots simplifies the plotting of NMR spectra. While NMRglue is a powerful tool for reading, processing, and analyzing NMR data, plotting with it can be cumbersome and code-intensive. SpinPlots addresses this by offering an intuitive interface for generating publication-ready plots with minimal effort.
+SpinPlots is a Python package designed to streamline the process of loading and plotting NMR data. Built on top of [NMRglue](https://www.nmrglue.com/), SpinPlots simplifies the plotting of NMR spectra. While NMRglue is a powerful tool for reading, processing, and analyzing NMR data, plotting with it can be cumbersome and code-intensive. SpinPlots addresses this by offering an intuitive interface for generating publication-ready plots with minimal effort.
 
-## Current features 🤌
-- **One line of code == NMR spectrum**: Generate 1D and 2D Bruker NMR plots with a single function call.
-- **Automatic labeling**: Axis are automatically labeled with the corresponding nuclei and units.
-- **Customizable**: Fine-tune the look of your plots by loading them with Spinplots.
+## Quick Start
+
+```python
+from spinplots import read_nmr
+
+# Plot a 1D spectrum
+read_nmr("path/to/bruker/pdata/1").plot()
+
+# Plot a 2D spectrum with projections
+read_nmr("path/to/2d/pdata/1").plot(contour_start=1e5)
+```
+
+## Features 🤌
+
+- **One line plotting**: Generate 1D and 2D NMR plots with a single function call
+- **Multiple formats**: Support for Bruker and DMFit data
+- **Automatic labeling**: Axes labeled with nuclei and units
+- **Overlays and stacking**: Compare multiple spectra on one plot
+- **Grid layouts**: Plot multiple spectra in customizable grid arrangements
+- **2D projections**: Automatic F1/F2 projections for 2D spectra
+- **Publication-ready**: Customizable styling with sensible defaults
 
 ## Documentation 📖
 
-Complete documentation for SpinPlots, including installation instructions and usage guides can be found [here](https://nuts-org.github.io/spinplots/).
+Complete documentation, including installation instructions and usage guides, can be found [here](https://nuts-org.github.io/spinplots/).
+
+## Contributing 
 
-## Future features 🔜
-- Extend support to non-Bruker spectra
-- Open to suggestions
+Open to suggestions and contributions! Feel free to open an issue or pull request.
diff --git a/data/1D/overlapped.svg b/data/1D/overlapped.svg
index 7607ab9..7f47037 100644
--- a/data/1D/overlapped.svg
+++ b/data/1D/overlapped.svg
@@ -1,16 +1,16 @@
 <?xml version="1.0" encoding="utf-8" standalone="no"?>
 <!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN"
   "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
-<svg xmlns:xlink="http://www.w3.org/1999/xlink" width="520.087875pt" height="324.81575pt" viewBox="0 0 520.087875 324.81575" xmlns="http://www.w3.org/2000/svg" version="1.1">
+<svg xmlns:xlink="http://www.w3.org/1999/xlink" width="504.826625pt" height="324.81575pt" viewBox="0 0 504.826625 324.81575" xmlns="http://www.w3.org/2000/svg" version="1.1">
  <metadata>
   <rdf:RDF xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:cc="http://creativecommons.org/ns#" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#">
    <cc:Work>
     <dc:type rdf:resource="http://purl.org/dc/dcmitype/StillImage"/>
-    <dc:date>2025-05-10T19:31:33.506379</dc:date>
+    <dc:date>2026-02-05T17:48:40.687823</dc:date>
     <dc:format>image/svg+xml</dc:format>
     <dc:creator>
      <cc:Agent>
-      <dc:title>Matplotlib v3.9.2, https://matplotlib.org/</dc:title>
+      <dc:title>Matplotlib v3.10.6, https://matplotlib.org/</dc:title>
      </cc:Agent>
     </dc:creator>
    </cc:Work>
@@ -22,18 +22,18 @@
  <g id="figure_1">
   <g id="patch_1">
    <path d="M 0 324.81575 
-L 520.087875 324.81575 
-L 520.087875 0 
+L 504.826625 324.81575 
+L 504.826625 0 
 L 0 0 
 z
 " style="fill: #ffffff"/>
   </g>
   <g id="axes_1">
    <g id="patch_2">
-    <path d="M 43.36125 283.910437 
-L 400.48125 283.910437 
-L 400.48125 17.798437 
-L 43.36125 17.798437 
+    <path d="M 28.1 283.910437 
+L 385.22 283.910437 
+L 385.22 17.798437 
+L 28.1 17.798437 
 z
 " style="fill: #ffffff"/>
    </g>
@@ -41,17 +41,17 @@ z
     <g id="xtick_1">
      <g id="line2d_1">
       <defs>
-       <path id="m270720384a" d="M 0 0 
+       <path id="mc3fe828647" d="M 0 0 
 L 0 3.5 
 " style="stroke: #000000; stroke-width: 0.8"/>
       </defs>
       <g>
-       <use xlink:href="#m270720384a" x="400.48125" y="283.910437" style="stroke: #000000; stroke-width: 0.8"/>
+       <use xlink:href="#mc3fe828647" x="385.22" y="283.910437" style="stroke: #000000; stroke-width: 0.8"/>
       </g>
      </g>
      <g id="text_1">
       <!-- 0 -->
-      <g transform="translate(397.700781 298.06825) scale(0.1 -0.1)">
+      <g transform="translate(382.439531 298.06825) scale(0.1 -0.1)">
        <defs>
         <path id="ArialMT-30" d="M 266 2259 
 Q 266 3072 433 3567 
@@ -86,12 +86,12 @@ z
     <g id="xtick_2">
      <g id="line2d_2">
       <g>
-       <use xlink:href="#m270720384a" x="364.76925" y="283.910437" style="stroke: #000000; stroke-width: 0.8"/>
+       <use xlink:href="#mc3fe828647" x="349.508" y="283.910437" style="stroke: #000000; stroke-width: 0.8"/>
       </g>
      </g>
      <g id="text_2">
       <!-- 20 -->
-      <g transform="translate(359.208313 298.06825) scale(0.1 -0.1)">
+      <g transform="translate(343.947063 298.06825) scale(0.1 -0.1)">
        <defs>
         <path id="ArialMT-32" d="M 3222 541 
 L 3222 0 
@@ -120,19 +120,19 @@ z
 " transform="scale(0.015625)"/>
        </defs>
        <use xlink:href="#ArialMT-32"/>
-       <use xlink:href="#ArialMT-30" x="55.615234"/>
+       <use xlink:href="#ArialMT-30" transform="translate(55.615234 0)"/>
       </g>
      </g>
     </g>
     <g id="xtick_3">
      <g id="line2d_3">
       <g>
-       <use xlink:href="#m270720384a" x="329.05725" y="283.910437" style="stroke: #000000; stroke-width: 0.8"/>
+       <use xlink:href="#mc3fe828647" x="313.796" y="283.910437" style="stroke: #000000; stroke-width: 0.8"/>
       </g>
      </g>
      <g id="text_3">
       <!-- 40 -->
-      <g transform="translate(323.496313 298.06825) scale(0.1 -0.1)">
+      <g transform="translate(308.235063 298.06825) scale(0.1 -0.1)">
        <defs>
         <path id="ArialMT-34" d="M 2069 0 
 L 2069 1097 
@@ -155,19 +155,19 @@ z
 " transform="scale(0.015625)"/>
        </defs>
        <use xlink:href="#ArialMT-34"/>
-       <use xlink:href="#ArialMT-30" x="55.615234"/>
+       <use xlink:href="#ArialMT-30" transform="translate(55.615234 0)"/>
       </g>
      </g>
     </g>
     <g id="xtick_4">
      <g id="line2d_4">
       <g>
-       <use xlink:href="#m270720384a" x="293.34525" y="283.910437" style="stroke: #000000; stroke-width: 0.8"/>
+       <use xlink:href="#mc3fe828647" x="278.084" y="283.910437" style="stroke: #000000; stroke-width: 0.8"/>
       </g>
      </g>
      <g id="text_4">
       <!-- 60 -->
-      <g transform="translate(287.784312 298.06825) scale(0.1 -0.1)">
+      <g transform="translate(272.523062 298.06825) scale(0.1 -0.1)">
        <defs>
         <path id="ArialMT-36" d="M 3184 3459 
 L 2625 3416 
@@ -204,19 +204,19 @@ z
 " transform="scale(0.015625)"/>
        </defs>
        <use xlink:href="#ArialMT-36"/>
-       <use xlink:href="#ArialMT-30" x="55.615234"/>
+       <use xlink:href="#ArialMT-30" transform="translate(55.615234 0)"/>
       </g>
      </g>
     </g>
     <g id="xtick_5">
      <g id="line2d_5">
       <g>
-       <use xlink:href="#m270720384a" x="257.63325" y="283.910437" style="stroke: #000000; stroke-width: 0.8"/>
+       <use xlink:href="#mc3fe828647" x="242.372" y="283.910437" style="stroke: #000000; stroke-width: 0.8"/>
       </g>
      </g>
      <g id="text_5">
       <!-- 80 -->
-      <g transform="translate(252.072313 298.06825) scale(0.1 -0.1)">
+      <g transform="translate(236.811063 298.06825) scale(0.1 -0.1)">
        <defs>
         <path id="ArialMT-38" d="M 1131 2484 
 Q 781 2613 612 2850 
@@ -260,19 +260,19 @@ z
 " transform="scale(0.015625)"/>
        </defs>
        <use xlink:href="#ArialMT-38"/>
-       <use xlink:href="#ArialMT-30" x="55.615234"/>
+       <use xlink:href="#ArialMT-30" transform="translate(55.615234 0)"/>
       </g>
      </g>
     </g>
     <g id="xtick_6">
      <g id="line2d_6">
       <g>
-       <use xlink:href="#m270720384a" x="221.92125" y="283.910437" style="stroke: #000000; stroke-width: 0.8"/>
+       <use xlink:href="#mc3fe828647" x="206.66" y="283.910437" style="stroke: #000000; stroke-width: 0.8"/>
       </g>
      </g>
      <g id="text_6">
       <!-- 100 -->
-      <g transform="translate(213.579844 298.06825) scale(0.1 -0.1)">
+      <g transform="translate(198.318594 298.06825) scale(0.1 -0.1)">
        <defs>
         <path id="ArialMT-31" d="M 2384 0 
 L 1822 0 
@@ -288,89 +288,89 @@ z
 " transform="scale(0.015625)"/>
        </defs>
        <use xlink:href="#ArialMT-31"/>
-       <use xlink:href="#ArialMT-30" x="55.615234"/>
-       <use xlink:href="#ArialMT-30" x="111.230469"/>
+       <use xlink:href="#ArialMT-30" transform="translate(55.615234 0)"/>
+       <use xlink:href="#ArialMT-30" transform="translate(111.230469 0)"/>
       </g>
      </g>
     </g>
     <g id="xtick_7">
      <g id="line2d_7">
       <g>
-       <use xlink:href="#m270720384a" x="186.20925" y="283.910437" style="stroke: #000000; stroke-width: 0.8"/>
+       <use xlink:href="#mc3fe828647" x="170.948" y="283.910437" style="stroke: #000000; stroke-width: 0.8"/>
       </g>
      </g>
      <g id="text_7">
       <!-- 120 -->
-      <g transform="translate(177.867844 298.06825) scale(0.1 -0.1)">
+      <g transform="translate(162.606594 298.06825) scale(0.1 -0.1)">
        <use xlink:href="#ArialMT-31"/>
-       <use xlink:href="#ArialMT-32" x="55.615234"/>
-       <use xlink:href="#ArialMT-30" x="111.230469"/>
+       <use xlink:href="#ArialMT-32" transform="translate(55.615234 0)"/>
+       <use xlink:href="#ArialMT-30" transform="translate(111.230469 0)"/>
       </g>
      </g>
     </g>
     <g id="xtick_8">
      <g id="line2d_8">
       <g>
-       <use xlink:href="#m270720384a" x="150.49725" y="283.910437" style="stroke: #000000; stroke-width: 0.8"/>
+       <use xlink:href="#mc3fe828647" x="135.236" y="283.910437" style="stroke: #000000; stroke-width: 0.8"/>
       </g>
      </g>
      <g id="text_8">
       <!-- 140 -->
-      <g transform="translate(142.155844 298.06825) scale(0.1 -0.1)">
+      <g transform="translate(126.894594 298.06825) scale(0.1 -0.1)">
        <use xlink:href="#ArialMT-31"/>
-       <use xlink:href="#ArialMT-34" x="55.615234"/>
-       <use xlink:href="#ArialMT-30" x="111.230469"/>
+       <use xlink:href="#ArialMT-34" transform="translate(55.615234 0)"/>
+       <use xlink:href="#ArialMT-30" transform="translate(111.230469 0)"/>
       </g>
      </g>
     </g>
     <g id="xtick_9">
      <g id="line2d_9">
       <g>
-       <use xlink:href="#m270720384a" x="114.78525" y="283.910437" style="stroke: #000000; stroke-width: 0.8"/>
+       <use xlink:href="#mc3fe828647" x="99.524" y="283.910437" style="stroke: #000000; stroke-width: 0.8"/>
       </g>
      </g>
      <g id="text_9">
       <!-- 160 -->
-      <g transform="translate(106.443844 298.06825) scale(0.1 -0.1)">
+      <g transform="translate(91.182594 298.06825) scale(0.1 -0.1)">
        <use xlink:href="#ArialMT-31"/>
-       <use xlink:href="#ArialMT-36" x="55.615234"/>
-       <use xlink:href="#ArialMT-30" x="111.230469"/>
+       <use xlink:href="#ArialMT-36" transform="translate(55.615234 0)"/>
+       <use xlink:href="#ArialMT-30" transform="translate(111.230469 0)"/>
       </g>
      </g>
     </g>
     <g id="xtick_10">
      <g id="line2d_10">
       <g>
-       <use xlink:href="#m270720384a" x="79.07325" y="283.910437" style="stroke: #000000; stroke-width: 0.8"/>
+       <use xlink:href="#mc3fe828647" x="63.812" y="283.910437" style="stroke: #000000; stroke-width: 0.8"/>
       </g>
      </g>
      <g id="text_10">
       <!-- 180 -->
-      <g transform="translate(70.731844 298.06825) scale(0.1 -0.1)">
+      <g transform="translate(55.470594 298.06825) scale(0.1 -0.1)">
        <use xlink:href="#ArialMT-31"/>
-       <use xlink:href="#ArialMT-38" x="55.615234"/>
-       <use xlink:href="#ArialMT-30" x="111.230469"/>
+       <use xlink:href="#ArialMT-38" transform="translate(55.615234 0)"/>
+       <use xlink:href="#ArialMT-30" transform="translate(111.230469 0)"/>
       </g>
      </g>
     </g>
     <g id="xtick_11">
      <g id="line2d_11">
       <g>
-       <use xlink:href="#m270720384a" x="43.36125" y="283.910437" style="stroke: #000000; stroke-width: 0.8"/>
+       <use xlink:href="#mc3fe828647" x="28.1" y="283.910437" style="stroke: #000000; stroke-width: 0.8"/>
       </g>
      </g>
      <g id="text_11">
       <!-- 200 -->
-      <g transform="translate(35.019844 298.06825) scale(0.1 -0.1)">
+      <g transform="translate(19.758594 298.06825) scale(0.1 -0.1)">
        <use xlink:href="#ArialMT-32"/>
-       <use xlink:href="#ArialMT-30" x="55.615234"/>
-       <use xlink:href="#ArialMT-30" x="111.230469"/>
+       <use xlink:href="#ArialMT-30" transform="translate(55.615234 0)"/>
+       <use xlink:href="#ArialMT-30" transform="translate(111.230469 0)"/>
       </g>
      </g>
     </g>
     <g id="text_12">
      <!-- $^{13}\mathrm{C}$ (ppm) -->
-     <g transform="translate(194.80125 314.97575) scale(0.12 -0.12)">
+     <g transform="translate(179.54 314.97575) scale(0.12 -0.12)">
       <defs>
        <path id="DejaVuSans-31" d="M 794 531 
 L 1825 531 
@@ -542,17 +542,17 @@ z
     <g id="ytick_1">
      <g id="line2d_12">
       <defs>
-       <path id="m3b5ac8f215" d="M 0 0 
+       <path id="m7c342f6a28" d="M 0 0 
 L -3.5 0 
 " style="stroke: #000000; stroke-width: 0.8"/>
       </defs>
       <g>
-       <use xlink:href="#m3b5ac8f215" x="43.36125" y="267.733045" style="stroke: #000000; stroke-width: 0.8"/>
+       <use xlink:href="#m7c342f6a28" x="28.1" y="267.733045" style="stroke: #000000; stroke-width: 0.8"/>
       </g>
      </g>
      <g id="text_13">
       <!-- 0.0 -->
-      <g transform="translate(22.46125 271.311951) scale(0.1 -0.1)">
+      <g transform="translate(7.2 271.311951) scale(0.1 -0.1)">
        <defs>
         <path id="ArialMT-2e" d="M 581 0 
 L 581 641 
@@ -563,337 +563,104 @@ z
 " transform="scale(0.015625)"/>
        </defs>
        <use xlink:href="#ArialMT-30"/>
-       <use xlink:href="#ArialMT-2e" x="55.615234"/>
-       <use xlink:href="#ArialMT-30" x="83.398438"/>
+       <use xlink:href="#ArialMT-2e" transform="translate(55.615234 0)"/>
+       <use xlink:href="#ArialMT-30" transform="translate(83.398438 0)"/>
       </g>
      </g>
     </g>
     <g id="ytick_2">
      <g id="line2d_13">
       <g>
-       <use xlink:href="#m3b5ac8f215" x="43.36125" y="226.379802" style="stroke: #000000; stroke-width: 0.8"/>
+       <use xlink:href="#m7c342f6a28" x="28.1" y="226.379802" style="stroke: #000000; stroke-width: 0.8"/>
       </g>
      </g>
      <g id="text_14">
       <!-- 0.2 -->
-      <g transform="translate(22.46125 229.958709) scale(0.1 -0.1)">
+      <g transform="translate(7.2 229.958709) scale(0.1 -0.1)">
        <use xlink:href="#ArialMT-30"/>
-       <use xlink:href="#ArialMT-2e" x="55.615234"/>
-       <use xlink:href="#ArialMT-32" x="83.398438"/>
+       <use xlink:href="#ArialMT-2e" transform="translate(55.615234 0)"/>
+       <use xlink:href="#ArialMT-32" transform="translate(83.398438 0)"/>
       </g>
      </g>
     </g>
     <g id="ytick_3">
      <g id="line2d_14">
       <g>
-       <use xlink:href="#m3b5ac8f215" x="43.36125" y="185.026559" style="stroke: #000000; stroke-width: 0.8"/>
+       <use xlink:href="#m7c342f6a28" x="28.1" y="185.026559" style="stroke: #000000; stroke-width: 0.8"/>
       </g>
      </g>
      <g id="text_15">
       <!-- 0.4 -->
-      <g transform="translate(22.46125 188.605466) scale(0.1 -0.1)">
+      <g transform="translate(7.2 188.605466) scale(0.1 -0.1)">
        <use xlink:href="#ArialMT-30"/>
-       <use xlink:href="#ArialMT-2e" x="55.615234"/>
-       <use xlink:href="#ArialMT-34" x="83.398438"/>
+       <use xlink:href="#ArialMT-2e" transform="translate(55.615234 0)"/>
+       <use xlink:href="#ArialMT-34" transform="translate(83.398438 0)"/>
       </g>
      </g>
     </g>
     <g id="ytick_4">
      <g id="line2d_15">
       <g>
-       <use xlink:href="#m3b5ac8f215" x="43.36125" y="143.673317" style="stroke: #000000; stroke-width: 0.8"/>
+       <use xlink:href="#m7c342f6a28" x="28.1" y="143.673317" style="stroke: #000000; stroke-width: 0.8"/>
       </g>
      </g>
      <g id="text_16">
       <!-- 0.6 -->
-      <g transform="translate(22.46125 147.252223) scale(0.1 -0.1)">
+      <g transform="translate(7.2 147.252223) scale(0.1 -0.1)">
        <use xlink:href="#ArialMT-30"/>
-       <use xlink:href="#ArialMT-2e" x="55.615234"/>
-       <use xlink:href="#ArialMT-36" x="83.398438"/>
+       <use xlink:href="#ArialMT-2e" transform="translate(55.615234 0)"/>
+       <use xlink:href="#ArialMT-36" transform="translate(83.398438 0)"/>
       </g>
      </g>
     </g>
     <g id="ytick_5">
      <g id="line2d_16">
       <g>
-       <use xlink:href="#m3b5ac8f215" x="43.36125" y="102.320074" style="stroke: #000000; stroke-width: 0.8"/>
+       <use xlink:href="#m7c342f6a28" x="28.1" y="102.320074" style="stroke: #000000; stroke-width: 0.8"/>
       </g>
      </g>
      <g id="text_17">
       <!-- 0.8 -->
-      <g transform="translate(22.46125 105.89898) scale(0.1 -0.1)">
+      <g transform="translate(7.2 105.89898) scale(0.1 -0.1)">
        <use xlink:href="#ArialMT-30"/>
-       <use xlink:href="#ArialMT-2e" x="55.615234"/>
-       <use xlink:href="#ArialMT-38" x="83.398438"/>
+       <use xlink:href="#ArialMT-2e" transform="translate(55.615234 0)"/>
+       <use xlink:href="#ArialMT-38" transform="translate(83.398438 0)"/>
       </g>
      </g>
     </g>
     <g id="ytick_6">
      <g id="line2d_17">
       <g>
-       <use xlink:href="#m3b5ac8f215" x="43.36125" y="60.966831" style="stroke: #000000; stroke-width: 0.8"/>
+       <use xlink:href="#m7c342f6a28" x="28.1" y="60.966831" style="stroke: #000000; stroke-width: 0.8"/>
       </g>
      </g>
      <g id="text_18">
       <!-- 1.0 -->
-      <g transform="translate(22.46125 64.545737) scale(0.1 -0.1)">
+      <g transform="translate(7.2 64.545737) scale(0.1 -0.1)">
        <use xlink:href="#ArialMT-31"/>
-       <use xlink:href="#ArialMT-2e" x="55.615234"/>
-       <use xlink:href="#ArialMT-30" x="83.398438"/>
+       <use xlink:href="#ArialMT-2e" transform="translate(55.615234 0)"/>
+       <use xlink:href="#ArialMT-30" transform="translate(83.398438 0)"/>
       </g>
      </g>
     </g>
     <g id="ytick_7">
      <g id="line2d_18">
       <g>
-       <use xlink:href="#m3b5ac8f215" x="43.36125" y="19.613588" style="stroke: #000000; stroke-width: 0.8"/>
+       <use xlink:href="#m7c342f6a28" x="28.1" y="19.613588" style="stroke: #000000; stroke-width: 0.8"/>
       </g>
      </g>
      <g id="text_19">
       <!-- 1.2 -->
-      <g transform="translate(22.46125 23.192494) scale(0.1 -0.1)">
+      <g transform="translate(7.2 23.192494) scale(0.1 -0.1)">
        <use xlink:href="#ArialMT-31"/>
-       <use xlink:href="#ArialMT-2e" x="55.615234"/>
-       <use xlink:href="#ArialMT-32" x="83.398438"/>
+       <use xlink:href="#ArialMT-2e" transform="translate(55.615234 0)"/>
+       <use xlink:href="#ArialMT-32" transform="translate(83.398438 0)"/>
       </g>
      </g>
     </g>
     <g id="text_20">
-     <!-- Intensity (a.u.) -->
-     <g transform="translate(15.935625 188.86725) rotate(-90) scale(0.12 -0.12)">
-      <defs>
-       <path id="ArialMT-49" d="M 597 0 
-L 597 4581 
-L 1203 4581 
-L 1203 0 
-L 597 0 
-z
-" transform="scale(0.015625)"/>
-       <path id="ArialMT-6e" d="M 422 0 
-L 422 3319 
-L 928 3319 
-L 928 2847 
-Q 1294 3394 1984 3394 
-Q 2284 3394 2536 3286 
-Q 2788 3178 2913 3003 
-Q 3038 2828 3088 2588 
-Q 3119 2431 3119 2041 
-L 3119 0 
-L 2556 0 
-L 2556 2019 
-Q 2556 2363 2490 2533 
-Q 2425 2703 2258 2804 
-Q 2091 2906 1866 2906 
-Q 1506 2906 1245 2678 
-Q 984 2450 984 1813 
-L 984 0 
-L 422 0 
-z
-" transform="scale(0.015625)"/>
-       <path id="ArialMT-74" d="M 1650 503 
-L 1731 6 
-Q 1494 -44 1306 -44 
-Q 1000 -44 831 53 
-Q 663 150 594 308 
-Q 525 466 525 972 
-L 525 2881 
-L 113 2881 
-L 113 3319 
-L 525 3319 
-L 525 4141 
-L 1084 4478 
-L 1084 3319 
-L 1650 3319 
-L 1650 2881 
-L 1084 2881 
-L 1084 941 
-Q 1084 700 1114 631 
-Q 1144 563 1211 522 
-Q 1278 481 1403 481 
-Q 1497 481 1650 503 
-z
-" transform="scale(0.015625)"/>
-       <path id="ArialMT-65" d="M 2694 1069 
-L 3275 997 
-Q 3138 488 2766 206 
-Q 2394 -75 1816 -75 
-Q 1088 -75 661 373 
-Q 234 822 234 1631 
-Q 234 2469 665 2931 
-Q 1097 3394 1784 3394 
-Q 2450 3394 2872 2941 
-Q 3294 2488 3294 1666 
-Q 3294 1616 3291 1516 
-L 816 1516 
-Q 847 969 1125 678 
-Q 1403 388 1819 388 
-Q 2128 388 2347 550 
-Q 2566 713 2694 1069 
-z
-M 847 1978 
-L 2700 1978 
-Q 2663 2397 2488 2606 
-Q 2219 2931 1791 2931 
-Q 1403 2931 1139 2672 
-Q 875 2413 847 1978 
-z
-" transform="scale(0.015625)"/>
-       <path id="ArialMT-73" d="M 197 991 
-L 753 1078 
-Q 800 744 1014 566 
-Q 1228 388 1613 388 
-Q 2000 388 2187 545 
-Q 2375 703 2375 916 
-Q 2375 1106 2209 1216 
-Q 2094 1291 1634 1406 
-Q 1016 1563 777 1677 
-Q 538 1791 414 1992 
-Q 291 2194 291 2438 
-Q 291 2659 392 2848 
-Q 494 3038 669 3163 
-Q 800 3259 1026 3326 
-Q 1253 3394 1513 3394 
-Q 1903 3394 2198 3281 
-Q 2494 3169 2634 2976 
-Q 2775 2784 2828 2463 
-L 2278 2388 
-Q 2241 2644 2061 2787 
-Q 1881 2931 1553 2931 
-Q 1166 2931 1000 2803 
-Q 834 2675 834 2503 
-Q 834 2394 903 2306 
-Q 972 2216 1119 2156 
-Q 1203 2125 1616 2013 
-Q 2213 1853 2448 1751 
-Q 2684 1650 2818 1456 
-Q 2953 1263 2953 975 
-Q 2953 694 2789 445 
-Q 2625 197 2315 61 
-Q 2006 -75 1616 -75 
-Q 969 -75 630 194 
-Q 291 463 197 991 
-z
-" transform="scale(0.015625)"/>
-       <path id="ArialMT-69" d="M 425 3934 
-L 425 4581 
-L 988 4581 
-L 988 3934 
-L 425 3934 
-z
-M 425 0 
-L 425 3319 
-L 988 3319 
-L 988 0 
-L 425 0 
-z
-" transform="scale(0.015625)"/>
-       <path id="ArialMT-79" d="M 397 -1278 
-L 334 -750 
-Q 519 -800 656 -800 
-Q 844 -800 956 -737 
-Q 1069 -675 1141 -563 
-Q 1194 -478 1313 -144 
-Q 1328 -97 1363 -6 
-L 103 3319 
-L 709 3319 
-L 1400 1397 
-Q 1534 1031 1641 628 
-Q 1738 1016 1872 1384 
-L 2581 3319 
-L 3144 3319 
-L 1881 -56 
-Q 1678 -603 1566 -809 
-Q 1416 -1088 1222 -1217 
-Q 1028 -1347 759 -1347 
-Q 597 -1347 397 -1278 
-z
-" transform="scale(0.015625)"/>
-       <path id="ArialMT-61" d="M 2588 409 
-Q 2275 144 1986 34 
-Q 1697 -75 1366 -75 
-Q 819 -75 525 192 
-Q 231 459 231 875 
-Q 231 1119 342 1320 
-Q 453 1522 633 1644 
-Q 813 1766 1038 1828 
-Q 1203 1872 1538 1913 
-Q 2219 1994 2541 2106 
-Q 2544 2222 2544 2253 
-Q 2544 2597 2384 2738 
-Q 2169 2928 1744 2928 
-Q 1347 2928 1158 2789 
-Q 969 2650 878 2297 
-L 328 2372 
-Q 403 2725 575 2942 
-Q 747 3159 1072 3276 
-Q 1397 3394 1825 3394 
-Q 2250 3394 2515 3294 
-Q 2781 3194 2906 3042 
-Q 3031 2891 3081 2659 
-Q 3109 2516 3109 2141 
-L 3109 1391 
-Q 3109 606 3145 398 
-Q 3181 191 3288 0 
-L 2700 0 
-Q 2613 175 2588 409 
-z
-M 2541 1666 
-Q 2234 1541 1622 1453 
-Q 1275 1403 1131 1340 
-Q 988 1278 909 1158 
-Q 831 1038 831 891 
-Q 831 666 1001 516 
-Q 1172 366 1500 366 
-Q 1825 366 2078 508 
-Q 2331 650 2450 897 
-Q 2541 1088 2541 1459 
-L 2541 1666 
-z
-" transform="scale(0.015625)"/>
-       <path id="ArialMT-75" d="M 2597 0 
-L 2597 488 
-Q 2209 -75 1544 -75 
-Q 1250 -75 995 37 
-Q 741 150 617 320 
-Q 494 491 444 738 
-Q 409 903 409 1263 
-L 409 3319 
-L 972 3319 
-L 972 1478 
-Q 972 1038 1006 884 
-Q 1059 663 1231 536 
-Q 1403 409 1656 409 
-Q 1909 409 2131 539 
-Q 2353 669 2445 892 
-Q 2538 1116 2538 1541 
-L 2538 3319 
-L 3100 3319 
-L 3100 0 
-L 2597 0 
-z
-" transform="scale(0.015625)"/>
-      </defs>
-      <use xlink:href="#ArialMT-49"/>
-      <use xlink:href="#ArialMT-6e" x="27.783203"/>
-      <use xlink:href="#ArialMT-74" x="83.398438"/>
-      <use xlink:href="#ArialMT-65" x="111.181641"/>
-      <use xlink:href="#ArialMT-6e" x="166.796875"/>
-      <use xlink:href="#ArialMT-73" x="222.412109"/>
-      <use xlink:href="#ArialMT-69" x="272.412109"/>
-      <use xlink:href="#ArialMT-74" x="294.628906"/>
-      <use xlink:href="#ArialMT-79" x="322.412109"/>
-      <use xlink:href="#ArialMT-20" x="372.412109"/>
-      <use xlink:href="#ArialMT-28" x="400.195312"/>
-      <use xlink:href="#ArialMT-61" x="433.496094"/>
-      <use xlink:href="#ArialMT-2e" x="489.111328"/>
-      <use xlink:href="#ArialMT-75" x="516.894531"/>
-      <use xlink:href="#ArialMT-2e" x="572.509766"/>
-      <use xlink:href="#ArialMT-29" x="600.292969"/>
-     </g>
-    </g>
-    <g id="text_21">
      <!-- 1e10 -->
-     <g transform="translate(43.36125 14.798437) scale(0.1 -0.1)">
+     <g transform="translate(28.1 14.798437) scale(0.1 -0.1)">
       <defs>
        <path id="DejaVuSans-65" d="M 3597 1894 
 L 3597 1613 
@@ -943,6824 +710,6623 @@ z
 " transform="scale(0.015625)"/>
       </defs>
       <use xlink:href="#DejaVuSans-31"/>
-      <use xlink:href="#DejaVuSans-65" x="63.623047"/>
-      <use xlink:href="#DejaVuSans-31" x="125.146484"/>
-      <use xlink:href="#DejaVuSans-30" x="188.769531"/>
+      <use xlink:href="#DejaVuSans-65" transform="translate(63.623047 0)"/>
+      <use xlink:href="#DejaVuSans-31" transform="translate(125.146484 0)"/>
+      <use xlink:href="#DejaVuSans-30" transform="translate(188.769531 0)"/>
      </g>
     </g>
    </g>
    <g id="line2d_19">
-    <path d="M -1 268.466543 
-L -0.840602 266.520911 
-L -0.813526 266.555737 
-L -0.678146 267.649179 
-L -0.407385 269.811509 
-L -0.380309 269.714173 
-L -0.244929 268.000304 
-L -0.109549 266.878919 
-L -0.082473 266.967281 
-L 0.079983 268.008157 
-L 0.134135 267.876306 
-L 0.350743 266.537233 
-L 0.404895 266.721973 
-L 0.702732 267.830276 
-L 0.892264 268.176005 
-L 0.91934 268.139572 
-L 1.081796 267.40028 
-L 1.163024 267.22437 
-L 1.1901 267.269304 
-L 1.32548 268.153137 
-L 1.46086 268.769166 
-L 1.487936 268.708548 
-L 1.704545 267.492812 
-L 1.785773 267.732937 
-L 1.921153 268.323094 
-L 1.975305 268.259623 
-L 2.083609 268.028616 
-L 2.110685 268.098858 
-L 2.218989 269.200931 
-L 2.354369 270.452508 
-L 2.381445 270.343168 
-L 2.516825 268.105115 
-L 2.652205 266.488808 
-L 2.679282 266.508049 
-L 2.89589 267.534033 
-L 2.950042 267.378963 
-L 3.220802 266.372519 
-L 3.247878 266.393473 
-L 3.383258 266.846339 
-L 3.681094 268.720942 
-L 3.843551 270.028017 
-L 3.870627 269.946877 
-L 4.006007 268.104809 
-L 4.087235 267.263011 
-L 4.141387 267.428009 
-L 4.303843 269.310622 
-L 4.357995 269.056546 
-L 4.547527 266.041267 
-L 4.628755 266.548641 
-L 4.791212 268.371382 
-L 4.845364 268.149806 
-L 4.980744 267.441018 
-L 5.00782 267.520621 
-L 5.1432 268.085697 
-L 5.170276 267.971169 
-L 5.359808 266.315321 
-L 5.41396 266.801058 
-L 5.576416 268.993551 
-L 5.630568 268.592043 
-L 5.847177 265.421498 
-L 5.901329 265.644268 
-L 6.009633 266.125945 
-L 6.063785 266.021547 
-L 6.117937 265.891884 
-L 6.145013 265.924966 
-L 6.226241 266.745074 
-L 6.388697 269.20233 
-L 6.442849 268.877089 
-L 6.632381 266.050025 
-L 6.686533 266.412565 
-L 6.848989 268.440898 
-L 6.903142 268.275354 
-L 7.065598 267.089243 
-L 7.092674 267.17478 
-L 7.282206 268.604993 
-L 7.363434 268.284071 
-L 7.688346 266.353691 
-L 7.742498 266.431707 
-L 7.877878 267.448763 
-L 7.986183 268.0074 
-L 8.013259 267.942523 
-L 8.175715 266.852881 
-L 8.256943 267.228929 
-L 8.446475 269.074183 
-L 8.473551 268.938825 
-L 8.690159 266.420273 
-L 8.771387 266.847146 
-L 8.987995 268.673763 
-L 9.015072 268.626656 
-L 9.177528 267.606613 
-L 9.285832 267.165256 
-L 9.339984 267.260548 
-L 9.583668 268.986609 
-L 9.664896 268.43429 
-L 9.854428 266.256452 
-L 9.90858 266.532371 
-L 10.152265 269.605821 
-L 10.206417 269.238936 
-L 10.395949 267.469481 
-L 10.423025 267.58465 
-L 10.612557 269.471821 
-L 10.693785 269.047247 
-L 10.883317 266.806303 
-L 10.937469 267.028138 
-L 11.154078 269.422838 
-L 11.235306 269.09694 
-L 11.47899 267.381416 
-L 11.506066 267.406346 
-L 12.02051 268.739267 
-L 12.182967 269.733191 
-L 12.210043 269.667859 
-L 12.345423 268.21157 
-L 12.426651 267.560185 
-L 12.480803 267.711008 
-L 12.670335 269.53115 
-L 12.724487 269.239788 
-L 12.941095 266.939566 
-L 12.995247 267.045482 
-L 13.076475 267.204675 
-L 13.103551 267.139881 
-L 13.293084 266.011496 
-L 13.347236 266.343391 
-L 13.509692 267.957019 
-L 13.563844 267.666132 
-L 13.7263 265.79256 
-L 13.780452 266.184507 
-L 13.99706 270.45512 
-L 14.078288 269.707927 
-L 14.267821 266.528939 
-L 14.321973 266.718503 
-L 14.538581 268.680017 
-L 14.592733 268.501652 
-L 14.782265 267.667231 
-L 14.809341 267.715291 
-L 14.971797 268.176731 
-L 15.025949 268.064457 
-L 15.486242 266.359445 
-L 15.56747 266.523618 
-L 15.70285 267.731578 
-L 15.892382 269.450474 
-L 15.919458 269.393565 
-L 16.054838 268.055069 
-L 16.217294 266.85224 
-L 16.24437 266.873017 
-L 16.406827 267.589321 
-L 16.704663 269.240143 
-L 16.812967 269.800079 
-L 16.867119 269.672066 
-L 17.110803 267.903432 
-L 17.192031 268.237312 
-L 17.300335 268.61594 
-L 17.327411 268.542487 
-L 17.54402 266.873729 
-L 17.625248 267.149113 
-L 17.787704 268.06882 
-L 17.81478 268.022199 
-L 18.08554 266.650258 
-L 18.166768 266.916999 
-L 18.437528 268.718241 
-L 18.518757 268.395471 
-L 18.681213 267.417269 
-L 18.708289 267.523059 
-L 18.897821 269.396382 
-L 18.979049 268.91414 
-L 19.168581 266.623272 
-L 19.222733 266.88766 
-L 19.493493 268.694304 
-L 19.574722 268.938917 
-L 19.710102 269.489587 
-L 19.737178 269.373718 
-L 19.872558 267.21455 
-L 19.980862 265.799188 
-L 20.035014 265.957677 
-L 20.278698 268.379047 
-L 20.359926 268.252993 
-L 20.414078 268.266531 
-L 20.549458 269.031863 
-L 20.630687 269.340576 
-L 20.684839 269.239755 
-L 20.982675 267.759767 
-L 21.036827 267.858978 
-L 21.199283 268.358226 
-L 21.253435 268.23811 
-L 21.415891 266.578981 
-L 21.497119 266.041337 
-L 21.551271 266.17713 
-L 21.76788 267.897584 
-L 21.849108 267.7122 
-L 21.957412 267.494717 
-L 21.984488 267.53783 
-L 22.092792 267.78867 
-L 22.146944 267.709553 
-L 22.282324 267.169041 
-L 22.336476 267.343721 
-L 22.553084 269.643647 
-L 22.634312 269.010394 
-L 22.823845 266.761306 
-L 22.850921 266.825717 
-L 23.040453 268.158471 
-L 23.094605 267.979181 
-L 23.284137 266.456255 
-L 23.338289 266.615963 
-L 23.609049 269.601264 
-L 23.690277 268.974114 
-L 23.87981 267.234623 
-L 23.906886 267.295157 
-L 24.042266 267.829495 
-L 24.096418 267.637051 
-L 24.28595 266.36621 
-L 24.313026 266.466821 
-L 24.529634 267.898809 
-L 24.583786 267.746454 
-L 24.665014 267.588156 
-L 24.69209 267.657252 
-L 24.854547 268.745058 
-L 24.935775 268.371822 
-L 25.125307 266.29384 
-L 25.179459 266.492269 
-L 25.341915 267.587025 
-L 25.396067 267.48778 
-L 25.477295 267.260752 
-L 25.531447 267.394429 
-L 25.693903 268.552118 
-L 25.748055 268.322791 
-L 25.937588 265.969596 
-L 26.018816 266.48234 
-L 26.208348 268.761156 
-L 26.2625 268.512047 
-L 26.614488 266.077889 
-L 26.66864 266.10037 
-L 26.749868 266.579613 
-L 26.939401 268.650531 
-L 26.993553 268.465043 
-L 27.210161 265.475089 
-L 27.291389 266.154802 
-L 27.507997 269.081295 
-L 27.535073 268.970803 
-L 27.697529 267.911487 
-L 27.751681 268.088072 
-L 27.914137 269.042088 
-L 27.96829 268.856423 
-L 28.211974 267.396874 
-L 28.266126 267.411339 
-L 28.455658 267.45589 
-L 28.591038 268.593418 
-L 28.672266 269.177942 
-L 28.726418 269.020037 
-L 28.970102 266.010534 
-L 29.024255 266.458293 
-L 29.240863 268.886115 
-L 29.267939 268.792513 
-L 29.538699 267.25067 
-L 29.592851 267.33415 
-L 29.728231 268.048513 
-L 29.863611 268.821278 
-L 29.917763 268.713423 
-L 30.161448 266.587288 
-L 30.269752 267.015484 
-L 30.459284 267.621663 
-L 30.540512 267.773418 
-L 30.865424 269.41992 
-L 30.946652 269.240542 
-L 31.082032 267.768227 
-L 31.244489 266.019162 
-L 31.271565 266.193936 
-L 31.461097 269.312173 
-L 31.542325 268.584588 
-L 31.731857 265.082536 
-L 31.758933 265.319446 
-L 31.975541 268.871706 
-L 32.029693 268.364321 
-L 32.19215 266.750868 
-L 32.219226 266.828313 
-L 32.32753 267.290356 
-L 32.381682 267.095239 
-L 32.544138 265.892598 
-L 32.59829 266.19036 
-L 32.787822 267.825552 
-L 32.841974 267.629242 
-L 32.950278 267.273461 
-L 32.977354 267.342789 
-L 33.112734 267.980641 
-L 33.166886 267.800667 
-L 33.329343 266.568394 
-L 33.383495 266.920209 
-L 33.600103 269.623883 
-L 33.654255 269.228784 
-L 33.897939 267.0769 
-L 33.925015 267.103539 
-L 34.141623 267.263641 
-L 34.30408 267.081458 
-L 34.385308 266.980853 
-L 34.412384 267.014711 
-L 34.520688 267.758545 
-L 34.683144 269.101069 
-L 34.71022 269.034581 
-L 34.98098 266.918665 
-L 35.11636 267.12396 
-L 35.224664 267.246323 
-L 35.332969 268.131915 
-L 35.468349 269.2136 
-L 35.495425 269.12583 
-L 35.712033 266.697343 
-L 35.820337 267.342401 
-L 35.982793 268.419994 
-L 36.009869 268.388086 
-L 36.280629 267.41975 
-L 36.443086 266.750803 
-L 36.470162 266.825388 
-L 36.659694 267.901831 
-L 36.740922 267.74023 
-L 36.795074 267.633527 
-L 36.82215 267.671934 
-L 36.930454 268.592534 
-L 37.011682 269.270616 
-L 37.065834 269.103596 
-L 37.282442 265.959993 
-L 37.36367 266.655554 
-L 37.526127 268.353904 
-L 37.553203 268.23709 
-L 37.715659 267.049178 
-L 37.769811 267.251745 
-L 37.932267 268.290861 
-L 37.959343 268.226232 
-L 38.203027 266.690742 
-L 38.257179 266.884739 
-L 38.52794 268.848994 
-L 38.582092 268.62338 
-L 38.7987 266.561008 
-L 38.852852 266.860338 
-L 39.042384 268.828315 
-L 39.096536 268.62984 
-L 39.394372 266.728456 
-L 39.421448 266.743576 
-L 39.529752 266.973845 
-L 39.665133 268.162031 
-L 39.800513 269.192502 
-L 39.854665 269.090293 
-L 40.152501 267.044312 
-L 40.314957 265.707565 
-L 40.342033 265.866259 
-L 40.558641 269.44276 
-L 40.63987 268.649019 
-L 40.77525 266.606848 
-L 40.829402 266.908915 
-L 40.991858 269.002543 
-L 41.04601 268.579476 
-L 41.208466 266.576584 
-L 41.235542 266.747253 
-L 41.425074 269.4658 
-L 41.506302 268.985417 
-L 41.885367 265.51364 
-L 41.939519 265.77775 
-L 42.101975 269.798599 
-L 42.183203 270.678476 
-L 42.210279 270.466521 
-L 42.399811 267.208559 
-L 42.481039 267.76816 
-L 42.562267 268.498691 
-L 42.616419 268.335946 
-L 42.7518 266.892207 
-L 42.805952 267.125731 
-L 42.968408 269.382268 
-L 43.02256 269.005288 
-L 43.185016 266.57252 
-L 43.239168 266.978656 
-L 43.374548 268.692573 
-L 43.4287 268.264276 
-L 43.591156 266.026219 
-L 43.618232 266.247637 
-L 43.780689 268.829153 
-L 43.834841 268.336134 
-L 43.997297 265.438269 
-L 44.051449 266.106207 
-L 44.240981 269.975135 
-L 44.295133 269.499007 
-L 44.403437 268.271101 
-L 44.457589 268.48038 
-L 44.592969 269.793968 
-L 44.620045 269.671243 
-L 44.836654 266.301935 
-L 44.917882 267.122967 
-L 45.053262 268.596382 
-L 45.107414 268.46647 
-L 45.188642 268.139857 
-L 45.242794 268.238514 
-L 45.378174 268.866955 
-L 45.40525 268.767323 
-L 45.594782 266.89056 
-L 45.67601 267.317305 
-L 45.784314 268.083525 
-L 45.838466 267.847848 
-L 45.973847 266.649324 
-L 46.027999 266.903064 
-L 46.217531 269.282287 
-L 46.271683 268.928936 
-L 46.461215 266.740249 
-L 46.515367 266.818435 
-L 46.596595 267.042384 
-L 46.650747 266.942063 
-L 46.786127 266.271727 
-L 46.840279 266.366909 
-L 47.300572 268.622858 
-L 47.327648 268.648609 
-L 47.354724 268.608052 
-L 47.463028 267.674427 
-L 47.625484 266.077417 
-L 47.679636 266.231032 
-L 47.950396 268.637038 
-L 48.031625 268.193106 
-L 48.194081 267.038823 
-L 48.221157 267.134803 
-L 48.410689 269.15531 
-L 48.491917 268.468545 
-L 48.681449 265.303348 
-L 48.708525 265.47515 
-L 48.925133 268.770503 
-L 49.006361 268.228864 
-L 49.08759 267.687001 
-L 49.141742 267.797255 
-L 49.250046 268.242454 
-L 49.277122 268.104487 
-L 49.466654 265.34768 
-L 49.520806 265.853285 
-L 49.710338 270.338257 
-L 49.76449 269.91677 
-L 49.954022 266.729021 
-L 49.981098 266.923527 
-L 50.116479 268.407434 
-L 50.170631 268.035667 
-L 50.306011 266.074477 
-L 50.360163 266.407289 
-L 50.549695 270.530727 
-L 50.630923 269.741159 
-L 50.820455 266.826522 
-L 50.847531 266.958882 
-L 50.982911 267.723523 
-L 51.009987 267.602539 
-L 51.19952 265.831469 
-L 51.280748 266.081547 
-L 51.713964 268.397746 
-L 51.768116 268.379275 
-L 51.984724 267.500109 
-L 52.228409 265.942647 
-L 52.282561 266.207466 
-L 52.499169 268.685359 
-L 52.553321 268.365812 
-L 52.715777 267.113445 
-L 52.742853 267.209244 
-L 52.878233 267.952199 
-L 52.905309 267.867385 
-L 53.094841 266.028042 
-L 53.148993 266.331971 
-L 53.338526 268.470294 
-L 53.392678 268.196739 
-L 53.500982 267.443177 
-L 53.555134 267.629978 
-L 53.71759 269.223173 
-L 53.771742 269.029467 
-L 53.934198 267.420323 
-L 53.98835 267.587079 
-L 54.150806 268.755915 
-L 54.177882 268.630155 
-L 54.394491 266.396398 
-L 54.475719 266.697853 
-L 54.611099 267.143073 
-L 54.638175 267.113665 
-L 54.692327 267.083597 
-L 54.719403 267.14231 
-L 54.827707 268.156134 
-L 54.936011 269.278569 
-L 54.990163 269.110687 
-L 55.233847 265.465087 
-L 55.315075 266.395118 
-L 55.504608 269.107685 
-L 55.531684 269.040531 
-L 55.748292 267.466579 
-L 55.802444 267.734863 
-L 55.9649 268.847923 
-L 56.019052 268.67176 
-L 56.23566 267.034869 
-L 56.289812 267.274821 
-L 56.452269 268.472591 
-L 56.506421 268.319737 
-L 56.723029 266.238877 
-L 56.804257 266.783872 
-L 57.020865 269.77913 
-L 57.075017 269.559307 
-L 57.264549 266.028758 
-L 57.372853 265.070344 
-L 57.399929 265.151874 
-L 57.562386 267.0978 
-L 57.697766 267.869861 
-L 57.724842 267.822908 
-L 57.914374 267.37851 
-L 57.94145 267.411466 
-L 58.103906 267.595025 
-L 58.130982 267.568081 
-L 58.239286 267.474352 
-L 58.266362 267.502858 
-L 58.455894 268.05639 
-L 58.537123 267.841064 
-L 58.699579 267.076805 
-L 58.753731 267.227021 
-L 58.943263 268.233992 
-L 58.970339 268.154977 
-L 59.159871 267.102545 
-L 59.214023 267.347081 
-L 59.349403 268.277055 
-L 59.403555 268.05421 
-L 59.620164 265.175696 
-L 59.701392 265.750084 
-L 59.918 268.321752 
-L 59.945076 268.265138 
-L 60.297064 266.627755 
-L 60.351216 266.784395 
-L 60.486596 268.37274 
-L 60.5949 269.412633 
-L 60.621977 269.340599 
-L 60.730281 267.574437 
-L 60.892737 265.190842 
-L 60.919813 265.305803 
-L 61.136421 267.30765 
-L 61.190573 267.119743 
-L 61.298877 266.768969 
-L 61.325953 266.843045 
-L 61.515485 267.944377 
-L 61.569637 267.639807 
-L 61.813322 265.167129 
-L 61.867474 265.464999 
-L 62.192386 269.533121 
-L 62.30069 268.956041 
-L 62.517298 267.535914 
-L 62.544374 267.541519 
-L 62.625602 267.497463 
-L 62.760983 266.669607 
-L 62.869287 266.196058 
-L 62.896363 266.236373 
-L 63.112971 267.068279 
-L 63.194199 266.96025 
-L 63.248351 267.038671 
-L 63.383731 268.311806 
-L 63.492035 268.992746 
-L 63.519111 268.892864 
-L 63.735719 266.908088 
-L 63.789872 267.20732 
-L 63.952328 268.687502 
-L 64.00648 268.538678 
-L 64.168936 267.389409 
-L 64.223088 267.626194 
-L 64.41262 269.320687 
-L 64.466772 268.961038 
-L 64.68338 266.346827 
-L 64.737532 266.554796 
-L 65.062445 268.360136 
-L 65.279053 269.596464 
-L 65.333205 269.402614 
-L 65.658117 266.932773 
-L 65.712269 266.973673 
-L 65.874726 267.232996 
-L 66.145486 269.039072 
-L 66.25379 268.616638 
-L 66.52455 267.403318 
-L 66.632854 267.410752 
-L 66.768234 267.543243 
-L 66.79531 267.515514 
-L 66.984843 266.933805 
-L 67.038995 267.17568 
-L 67.228527 269.216349 
-L 67.282679 268.997053 
-L 67.472211 266.567507 
-L 67.526363 267.037024 
-L 67.688819 269.8769 
-L 67.742971 269.548029 
-L 67.932503 265.728806 
-L 67.986656 266.164527 
-L 68.176188 269.781797 
-L 68.23034 269.316711 
-L 68.419872 266.604996 
-L 68.446948 266.727729 
-L 68.609404 267.903919 
-L 68.63648 267.793105 
-L 68.798936 266.477691 
-L 68.880164 266.742796 
-L 68.988468 267.310505 
-L 69.042621 267.197701 
-L 69.150925 266.699892 
-L 69.205077 266.881482 
-L 69.394609 269.079521 
-L 69.475837 268.616729 
-L 69.638293 266.855985 
-L 69.692445 267.092117 
-L 69.827825 268.163477 
-L 69.881977 267.998774 
-L 70.017357 266.893551 
-L 70.071509 267.054179 
-L 70.261042 269.224883 
-L 70.315194 268.844264 
-L 70.504726 265.934366 
-L 70.558878 266.158484 
-L 70.721334 267.954057 
-L 70.775486 267.765035 
-L 70.965018 265.892776 
-L 71.01917 266.086 
-L 71.181627 267.059691 
-L 71.235779 266.897901 
-L 71.344083 266.447636 
-L 71.398235 266.554336 
-L 71.587767 267.52579 
-L 71.641919 267.349256 
-L 71.750223 266.96693 
-L 71.777299 267.021836 
-L 71.966831 268.193348 
-L 72.020983 267.845656 
-L 72.210516 265.591754 
-L 72.264668 265.984297 
-L 72.481276 269.214236 
-L 72.535428 268.955395 
-L 72.752036 267.051367 
-L 72.806188 267.167828 
-L 72.941568 267.540854 
-L 72.99572 267.499568 
-L 73.212328 267.313622 
-L 73.320633 267.262777 
-L 73.564317 266.596815 
-L 73.618469 266.752883 
-L 73.780925 268.371075 
-L 73.889229 269.185283 
-L 73.943381 269.046736 
-L 74.187065 266.723048 
-L 74.268293 267.127976 
-L 74.511978 268.402402 
-L 74.647358 268.638206 
-L 74.70151 268.702736 
-L 74.728586 268.662028 
-L 74.83689 267.804875 
-L 74.999346 266.412419 
-L 75.026422 266.477233 
-L 75.24303 267.947082 
-L 75.324258 267.728595 
-L 75.405487 267.50762 
-L 75.459639 267.575026 
-L 75.595019 267.956245 
-L 75.649171 267.857772 
-L 75.784551 267.445727 
-L 75.811627 267.498636 
-L 76.001159 268.503439 
-L 76.055311 268.285988 
-L 76.244843 266.875917 
-L 76.298995 267.070974 
-L 76.434376 267.837777 
-L 76.488528 267.705786 
-L 76.67806 266.481362 
-L 76.732212 266.619626 
-L 76.921744 267.522022 
-L 76.975896 267.384691 
-L 77.246656 265.973253 
-L 77.300808 266.094626 
-L 77.436188 267.502726 
-L 77.571569 268.79526 
-L 77.625721 268.688097 
-L 77.869405 267.097644 
-L 77.950633 267.148101 
-L 78.031861 267.020765 
-L 78.113089 266.903209 
-L 78.140165 266.986036 
-L 78.248469 268.271444 
-L 78.383849 269.734352 
-L 78.410925 269.57529 
-L 78.627534 266.256894 
-L 78.708762 267.069611 
-L 78.817066 268.299989 
-L 78.871218 267.921372 
-L 79.033674 265.153923 
-L 79.087826 265.513276 
-L 79.304434 270.002285 
-L 79.358586 269.502921 
-L 79.548118 266.941484 
-L 79.575195 267.024545 
-L 79.710575 267.664226 
-L 79.737651 267.586839 
-L 79.900107 266.691504 
-L 79.927183 266.790507 
-L 80.143791 268.771571 
-L 80.225019 268.516884 
-L 80.333323 268.117104 
-L 80.387475 268.198404 
-L 80.522855 268.529711 
-L 80.577007 268.456803 
-L 80.685312 268.287701 
-L 80.712388 268.313523 
-L 80.847768 268.601488 
-L 80.90192 268.531702 
-L 81.064376 268.100779 
-L 81.091452 268.152583 
-L 81.199756 268.475806 
-L 81.253908 268.336637 
-L 81.470516 266.341256 
-L 81.524668 266.675015 
-L 81.741277 268.89785 
-L 81.795429 268.812005 
-L 81.849581 268.719912 
-L 81.903733 268.799289 
-L 82.012037 269.102449 
-L 82.039113 269.011585 
-L 82.147417 267.465536 
-L 82.282797 265.698442 
-L 82.309873 265.836121 
-L 82.499405 268.563354 
-L 82.580633 267.94359 
-L 82.716013 266.478098 
-L 82.74309 266.623328 
-L 82.959698 269.623786 
-L 83.040926 268.952583 
-L 83.176306 267.904611 
-L 83.203382 267.986472 
-L 83.338762 268.62227 
-L 83.365838 268.536523 
-L 83.609522 266.435935 
-L 83.717826 266.77163 
-L 83.771978 266.82152 
-L 83.799055 266.765482 
-L 83.961511 266.194401 
-L 84.015663 266.357505 
-L 84.232271 267.668919 
-L 84.286423 267.593045 
-L 84.394727 266.696832 
-L 84.557183 263.040157 
-L 84.800867 251.559677 
-L 84.936248 232.178032 
-L 85.12578 163.051252 
-L 85.342388 88.858763 
-L 85.369464 89.131248 
-L 85.450692 106.980601 
-L 85.938061 258.639509 
-L 86.154669 266.924212 
-L 86.181745 266.792942 
-L 86.344201 265.07128 
-L 86.371277 265.249879 
-L 86.587885 268.254197 
-L 86.669113 267.992882 
-L 86.777417 267.687913 
-L 86.804493 267.748638 
-L 87.23771 269.702772 
-L 87.291862 269.34949 
-L 87.50847 266.622026 
-L 87.562622 266.89861 
-L 87.752154 268.424653 
-L 87.806306 268.275745 
-L 87.91461 267.96036 
-L 87.968762 268.029987 
-L 88.049991 268.128013 
-L 88.077067 268.060675 
-L 88.212447 266.768926 
-L 88.672739 262.083065 
-L 88.699815 262.201342 
-L 88.835195 264.774927 
-L 89.07888 267.972088 
-L 89.295488 269.370788 
-L 89.34964 269.186617 
-L 89.593324 267.406089 
-L 89.674552 267.508015 
-L 89.864084 267.798983 
-L 89.89116 267.774222 
-L 89.999464 267.421374 
-L 90.134845 266.887455 
-L 90.161921 266.924939 
-L 90.270225 267.857918 
-L 90.405605 269.135477 
-L 90.459757 268.950094 
-L 90.649289 267.121165 
-L 90.703441 267.361559 
-L 90.892973 269.220972 
-L 90.947125 269.040231 
-L 91.217886 266.446098 
-L 91.299114 266.778874 
-L 91.515722 269.40555 
-L 91.59695 268.857342 
-L 91.786482 265.465849 
-L 91.840634 265.698016 
-L 92.084318 269.274713 
-L 92.165546 268.807023 
-L 92.571687 265.945431 
-L 92.598763 266.064635 
-L 92.707067 268.44555 
-L 92.842447 271.296032 
-L 92.869523 271.18217 
-L 93.004903 267.777477 
-L 93.140283 265.742379 
-L 93.167359 265.850033 
-L 93.519348 267.772602 
-L 93.600576 268.022718 
-L 93.654728 267.892892 
-L 93.871336 266.103447 
-L 93.925488 266.370613 
-L 94.142096 268.266685 
-L 94.196248 268.218158 
-L 94.277476 268.140793 
-L 94.304552 268.191837 
-L 94.494085 269.027726 
-L 94.575313 268.830698 
-L 94.710693 268.340207 
-L 94.764845 268.440729 
-L 94.900225 268.871157 
-L 94.927301 268.815983 
-L 95.035605 267.845282 
-L 95.225137 266.237634 
-L 95.252213 266.317846 
-L 95.441746 267.42723 
-L 95.495898 267.311116 
-L 95.631278 266.678963 
-L 95.68543 266.776872 
-L 95.874962 267.924607 
-L 95.929114 267.717598 
-L 96.064494 266.878073 
-L 96.118646 267.120225 
-L 96.335254 269.438307 
-L 96.389406 269.079746 
-L 96.551863 267.771585 
-L 96.578939 267.848967 
-L 96.714319 268.546594 
-L 96.768471 268.304446 
-L 96.985079 266.393862 
-L 97.039231 266.544215 
-L 97.093383 266.648346 
-L 97.120459 266.590664 
-L 97.309991 265.040903 
-L 97.364143 265.527667 
-L 97.580752 269.89801 
-L 97.634904 269.487185 
-L 97.824436 267.0528 
-L 97.851512 267.191732 
-L 98.013968 268.43009 
-L 98.06812 268.146904 
-L 98.2035 267.159247 
-L 98.257652 267.339477 
-L 98.47426 268.779475 
-L 98.528412 268.70756 
-L 98.745021 268.422427 
-L 98.988705 265.241268 
-L 99.069933 266.143146 
-L 99.232389 268.596582 
-L 99.286541 268.356182 
-L 99.448997 266.729901 
-L 99.503149 266.932913 
-L 99.692682 268.598518 
-L 99.746834 268.521721 
-L 99.882214 268.14892 
-L 99.90929 268.190125 
-L 100.04467 268.56673 
-L 100.098822 268.474073 
-L 100.261278 267.757422 
-L 100.31543 267.853187 
-L 100.613266 269.581391 
-L 100.694495 269.328356 
-L 100.965255 267.450626 
-L 101.046483 267.786845 
-L 101.236015 269.285828 
-L 101.263091 269.195911 
-L 101.506775 266.940609 
-L 101.588003 267.397074 
-L 101.723384 268.073747 
-L 101.75046 267.997036 
-L 101.912916 267.203205 
-L 101.967068 267.366722 
-L 102.129524 268.261061 
-L 102.183676 268.098845 
-L 102.346132 267.315481 
-L 102.373208 267.388827 
-L 102.535664 268.152219 
-L 102.56274 268.053934 
-L 102.779349 265.981635 
-L 102.860577 266.376019 
-L 103.077185 267.516578 
-L 103.131337 267.603508 
-L 103.239641 268.643011 
-L 103.375021 270.00519 
-L 103.402097 269.927731 
-L 103.618705 267.663229 
-L 103.699933 268.298669 
-L 103.808238 269.0631 
-L 103.835314 268.95604 
-L 103.99777 267.342141 
-L 104.051922 267.670851 
-L 104.214378 270.203466 
-L 104.26853 269.796677 
-L 104.485138 265.090417 
-L 104.53929 265.846745 
-L 104.701746 269.260476 
-L 104.755898 268.897469 
-L 104.945431 265.981129 
-L 104.999583 266.443795 
-L 105.134963 268.050291 
-L 105.189115 267.882504 
-L 105.324495 266.74062 
-L 105.378647 266.978092 
-L 105.541103 268.823918 
-L 105.595255 268.523621 
-L 105.784787 265.672654 
-L 105.838939 265.954377 
-L 106.082624 269.116025 
-L 106.136776 268.925702 
-L 106.299232 268.417571 
-L 106.326308 268.436241 
-L 106.407536 268.415693 
-L 106.542916 267.693936 
-L 106.705372 267.130176 
-L 106.732448 267.150399 
-L 107.084437 267.429432 
-L 107.192741 267.021196 
-L 107.328121 266.419881 
-L 107.355197 266.465556 
-L 107.463501 267.375707 
-L 107.625957 268.616574 
-L 107.653033 268.595693 
-L 107.788413 268.307118 
-L 107.815489 268.35779 
-L 107.977945 269.078586 
-L 108.032098 268.985027 
-L 108.22163 267.941895 
-L 108.275782 268.098852 
-L 108.411162 268.675306 
-L 108.438238 268.599312 
-L 108.573618 267.090489 
-L 108.708998 266.158422 
-L 108.736074 266.251796 
-L 108.979758 267.858251 
-L 109.060986 267.612814 
-L 109.250519 266.690022 
-L 109.304671 266.757873 
-L 109.521279 267.821307 
-L 109.602507 267.5933 
-L 109.710811 267.281146 
-L 109.737887 267.366339 
-L 109.954495 269.134612 
-L 110.008647 268.722248 
-L 110.19818 266.015419 
-L 110.252332 266.21917 
-L 110.46894 268.620966 
-L 110.523092 268.347601 
-L 110.712624 266.926 
-L 110.766776 267.02104 
-L 111.064612 268.741487 
-L 111.14584 268.335695 
-L 111.308297 266.845593 
-L 111.362449 267.102966 
-L 111.579057 270.54724 
-L 111.660285 269.92882 
-L 111.849817 267.569672 
-L 111.876893 267.623715 
-L 112.012273 268.135893 
-L 112.039349 268.075076 
-L 112.174729 267.401078 
-L 112.228882 267.505513 
-L 112.391338 268.468625 
-L 112.418414 268.368998 
-L 112.607946 266.437453 
-L 112.689174 266.859213 
-L 112.85163 268.223693 
-L 112.878706 268.140278 
-L 113.041162 267.23848 
-L 113.095314 267.462359 
-L 113.230694 268.308363 
-L 113.284847 268.176136 
-L 113.474379 266.948159 
-L 113.555607 267.098107 
-L 113.961747 268.530621 
-L 113.988823 268.451138 
-L 114.205431 266.624948 
-L 114.286659 267.214151 
-L 114.394964 268.036569 
-L 114.42204 267.952733 
-L 114.611572 265.716318 
-L 114.6928 266.563851 
-L 114.855256 269.649037 
-L 114.909408 269.402402 
-L 115.09894 266.523304 
-L 115.153092 266.881434 
-L 115.342624 269.357631 
-L 115.396777 269.010669 
-L 115.613385 266.74101 
-L 115.667537 266.948987 
-L 115.829993 267.678089 
-L 115.857069 267.637461 
-L 116.317361 266.499591 
-L 116.371513 266.478348 
-L 116.398589 266.534023 
-L 116.506894 267.301361 
-L 116.66935 268.565705 
-L 116.723502 268.446456 
-L 116.94011 267.113445 
-L 117.021338 267.246764 
-L 117.129642 267.38403 
-L 117.156718 267.355492 
-L 117.237946 267.295173 
-L 117.265022 267.348838 
-L 117.373326 268.153266 
-L 117.508707 269.052801 
-L 117.535783 268.969373 
-L 117.725315 267.391968 
-L 117.806543 267.767498 
-L 117.941923 268.863993 
-L 117.996075 268.692559 
-L 118.212683 266.680535 
-L 118.266835 266.924982 
-L 118.510519 268.83319 
-L 118.564672 268.767765 
-L 118.700052 267.907273 
-L 118.862508 266.8918 
-L 118.889584 266.91232 
-L 119.024964 267.710391 
-L 119.106192 267.952731 
-L 119.133268 267.893993 
-L 119.295724 267.080029 
-L 119.349876 267.173807 
-L 119.512332 268.011798 
-L 119.566484 267.915676 
-L 119.701865 267.467207 
-L 119.728941 267.543666 
-L 119.891397 268.595919 
-L 119.945549 268.410016 
-L 120.162157 266.311484 
-L 120.216309 266.656123 
-L 120.351689 267.654618 
-L 120.378765 267.573728 
-L 120.568297 265.747068 
-L 120.649525 266.169846 
-L 121.001514 269.295865 
-L 121.082742 269.498522 
-L 121.136894 269.410944 
-L 121.380578 267.955533 
-L 121.461806 268.215336 
-L 121.515958 268.283796 
-L 121.543034 268.191506 
-L 121.678414 266.368861 
-L 121.786719 265.203717 
-L 121.840871 265.416599 
-L 122.057479 267.752198 
-L 122.138707 267.521379 
-L 122.219935 267.238929 
-L 122.274087 267.317892 
-L 122.436543 267.980914 
-L 122.463619 267.916775 
-L 122.707303 266.248149 
-L 122.788532 266.66777 
-L 122.950988 267.694207 
-L 123.00514 267.62241 
-L 123.248824 266.753405 
-L 123.302976 266.813837 
-L 123.465432 266.932953 
-L 123.492508 266.910407 
-L 123.709116 266.795902 
-L 123.817421 266.963922 
-L 123.952801 267.741275 
-L 124.142333 268.967787 
-L 124.169409 268.925039 
-L 124.331865 267.762643 
-L 124.413093 267.486145 
-L 124.467245 267.571555 
-L 124.575549 267.780969 
-L 124.602625 267.723828 
-L 124.846309 266.311386 
-L 124.927538 266.663372 
-L 125.11707 267.553379 
-L 125.144146 267.543805 
-L 125.279526 267.227441 
-L 125.496134 266.327714 
-L 125.550286 266.418893 
-L 125.685666 267.843793 
-L 125.79397 268.716824 
-L 125.848122 268.517646 
-L 126.091807 266.328931 
-L 126.145959 266.446001 
-L 126.497947 268.122566 
-L 126.606251 268.810144 
-L 126.633327 268.759621 
-L 126.768707 267.409064 
-L 126.849935 266.878847 
-L 126.904087 267.074031 
-L 127.147772 269.491265 
-L 127.201924 269.296486 
-L 127.49976 266.562371 
-L 127.580988 267.068805 
-L 127.743444 268.440357 
-L 127.77052 268.368223 
-L 127.9059 266.717838 
-L 128.014204 265.954331 
-L 128.041281 266.037622 
-L 128.230813 267.14213 
-L 128.284965 267.002337 
-L 128.339117 266.851118 
-L 128.393269 266.962128 
-L 128.555725 269.024263 
-L 128.636953 269.424853 
-L 128.664029 269.284964 
-L 128.907713 266.891646 
-L 128.988941 267.164282 
-L 129.34093 268.535391 
-L 129.368006 268.526994 
-L 129.47631 267.93747 
-L 129.557538 267.573542 
-L 129.61169 267.775871 
-L 129.774146 269.269359 
-L 129.828298 268.997801 
-L 130.01783 266.188838 
-L 130.099058 266.833841 
-L 130.288591 269.34963 
-L 130.315667 269.216489 
-L 130.532275 267.475624 
-L 130.613503 267.5019 
-L 130.694731 267.138037 
-L 130.830111 266.126761 
-L 130.884263 266.259973 
-L 131.127947 268.539874 
-L 131.209176 268.223853 
-L 131.290404 268.024511 
-L 131.31748 268.080868 
-L 131.507012 268.977227 
-L 131.561164 268.858744 
-L 131.696544 268.367797 
-L 131.750696 268.475771 
-L 131.967304 269.513329 
-L 132.021456 269.318556 
-L 132.183912 267.415188 
-L 132.373445 265.65244 
-L 132.400521 265.725587 
-L 132.617129 267.207716 
-L 132.698357 266.908217 
-L 132.779585 266.571914 
-L 132.833737 266.702714 
-L 133.023269 268.344854 
-L 133.104497 267.99862 
-L 133.239877 267.047006 
-L 133.266953 267.118753 
-L 133.456486 268.752375 
-L 133.510638 268.423194 
-L 133.727246 265.655467 
-L 133.781398 265.991184 
-L 134.10631 268.570095 
-L 134.187538 268.48618 
-L 134.295842 267.850946 
-L 134.431223 267.000185 
-L 134.458299 267.081145 
-L 134.593679 268.921703 
-L 134.674907 269.76181 
-L 134.729059 269.557996 
-L 134.918591 266.960146 
-L 134.999819 267.504114 
-L 135.135199 268.962343 
-L 135.162275 268.866457 
-L 135.297655 266.502622 
-L 135.40596 265.389724 
-L 135.433036 265.497132 
-L 135.622568 267.239936 
-L 135.703796 266.933398 
-L 135.839176 266.293763 
-L 135.866252 266.332518 
-L 136.08286 267.451589 
-L 136.272392 269.274617 
-L 136.380696 269.896709 
-L 136.407772 269.814382 
-L 136.976369 266.218658 
-L 137.030521 266.39606 
-L 137.247129 268.894872 
-L 137.301281 268.540841 
-L 137.51789 266.204095 
-L 137.544966 266.309523 
-L 137.761574 267.635665 
-L 137.815726 267.521897 
-L 138.19479 266.638212 
-L 138.248942 266.556526 
-L 138.276018 266.591701 
-L 138.384322 267.381094 
-L 138.655083 269.867214 
-L 138.682159 269.829305 
-L 138.817539 269.059523 
-L 139.250755 266.66859 
-L 139.304907 266.701915 
-L 139.413211 267.516422 
-L 139.575667 268.635849 
-L 139.602743 268.541285 
-L 139.873504 266.291947 
-L 139.954732 266.634211 
-L 140.144264 267.317368 
-L 140.17134 267.287092 
-L 140.360872 266.688376 
-L 140.523328 266.155183 
-L 140.57748 266.244191 
-L 140.821165 267.687279 
-L 140.902393 267.310957 
-L 141.091925 266.131135 
-L 141.119001 266.201836 
-L 141.362685 267.650396 
-L 141.443913 267.369069 
-L 141.579293 266.828122 
-L 141.606369 266.86108 
-L 141.714673 267.526441 
-L 141.87713 268.363029 
-L 141.904206 268.32769 
-L 142.039586 268.001964 
-L 142.093738 268.124542 
-L 142.256194 268.812882 
-L 142.28327 268.710535 
-L 142.41865 266.784314 
-L 142.55403 265.245999 
-L 142.581106 265.307106 
-L 142.716486 266.931994 
-L 142.906019 268.142559 
-L 143.501691 267.680671 
-L 143.528767 267.713154 
-L 143.637071 268.000022 
-L 143.826604 269.074163 
-L 143.880756 268.927789 
-L 144.097364 266.301005 
-L 144.178592 266.850836 
-L 144.368124 269.74497 
-L 144.422276 269.562542 
-L 144.611808 267.881064 
-L 144.66596 268.047133 
-L 144.774264 268.487467 
-L 144.80134 268.441428 
-L 145.017949 267.013888 
-L 145.099177 267.324987 
-L 145.207481 267.736914 
-L 145.234557 267.686275 
-L 145.424089 266.701458 
-L 145.478241 266.857547 
-L 145.830229 268.6123 
-L 145.857305 268.604236 
-L 145.938534 268.39076 
-L 146.182218 266.542039 
-L 146.263446 266.862264 
-L 146.452978 268.010766 
-L 146.480054 267.94349 
-L 146.64251 267.350561 
-L 146.696662 267.47316 
-L 146.832042 267.89683 
-L 146.859118 267.85496 
-L 147.075727 266.838157 
-L 147.156955 267.127843 
-L 147.346487 267.997633 
-L 147.373563 267.942404 
-L 147.508943 266.999556 
-L 147.617247 266.315684 
-L 147.671399 266.449497 
-L 147.779703 268.171833 
-L 147.969235 271.814437 
-L 148.023387 271.537567 
-L 148.294148 267.416801 
-L 148.402452 267.581512 
-L 148.456604 267.503698 
-L 148.591984 267.060336 
-L 148.61906 267.131471 
-L 148.808592 268.673751 
-L 148.88982 268.131623 
-L 149.079352 265.940761 
-L 149.106429 266.05845 
-L 149.295961 267.617003 
-L 149.350113 267.406218 
-L 149.458417 266.827567 
-L 149.512569 266.948478 
-L 149.675025 267.847825 
-L 149.702101 267.76062 
-L 149.837481 266.842772 
-L 149.891633 267.026671 
-L 150.081165 269.675159 
-L 150.162394 269.133939 
-L 150.32485 266.915535 
-L 150.379002 267.193328 
-L 150.514382 268.508123 
-L 150.568534 268.181821 
-L 150.73099 265.740388 
-L 150.785142 265.991644 
-L 151.00175 270.068843 
-L 151.082978 269.366164 
-L 151.272511 266.885308 
-L 151.299587 266.915667 
-L 151.841107 268.813778 
-L 151.868183 268.742262 
-L 152.111867 267.179782 
-L 152.220171 267.365492 
-L 152.274324 267.43756 
-L 152.328476 267.348087 
-L 152.518008 266.519191 
-L 152.57216 266.628859 
-L 152.761692 267.666415 
-L 152.815844 267.537759 
-L 153.059528 266.082213 
-L 153.11368 266.246781 
-L 153.438593 268.334585 
-L 153.546897 269.080214 
-L 153.601049 268.937379 
-L 153.817657 266.402085 
-L 153.898885 266.791994 
-L 154.061341 268.189366 
-L 154.088417 268.10938 
-L 154.305025 266.602637 
-L 154.359177 266.817792 
-L 154.602862 267.647296 
-L 154.711166 268.242319 
-L 154.81947 268.855534 
-L 154.873622 268.725776 
-L 155.09023 267.155926 
-L 155.144382 267.339907 
-L 155.279762 267.901932 
-L 155.333914 267.843574 
-L 155.415143 267.726186 
-L 155.442219 267.763944 
-L 155.604675 268.53227 
-L 155.658827 268.398988 
-L 155.875435 266.506045 
-L 155.929587 266.777642 
-L 156.064967 267.70929 
-L 156.119119 267.476238 
-L 156.335727 265.464691 
-L 156.389879 265.651831 
-L 156.741868 267.313659 
-L 156.79602 267.219464 
-L 156.985552 266.262757 
-L 157.039704 266.593306 
-L 157.229236 268.919511 
-L 157.283388 268.575939 
-L 157.499996 265.29436 
-L 157.554149 265.535175 
-L 157.743681 266.87552 
-L 157.770757 266.842802 
-L 157.851985 266.754899 
-L 157.879061 266.817779 
-L 158.095669 268.121762 
-L 158.149821 267.887653 
-L 158.312277 266.796399 
-L 158.366429 266.892979 
-L 158.691342 268.803 
-L 158.77257 268.566835 
-L 158.989178 266.74367 
-L 159.070406 267.07928 
-L 159.232862 268.307033 
-L 159.259938 268.23682 
-L 159.44947 266.859594 
-L 159.503622 267.106379 
-L 159.720231 269.078719 
-L 159.774383 268.922965 
-L 160.072219 267.328424 
-L 160.126371 267.409732 
-L 160.288827 268.507071 
-L 160.397131 268.853321 
-L 160.424207 268.799373 
-L 160.532511 268.493946 
-L 160.586663 268.585243 
-L 160.722044 269.174091 
-L 160.74912 269.101427 
-L 160.857424 267.660613 
-L 160.992804 266.107128 
-L 161.01988 266.275815 
-L 161.236488 269.478978 
-L 161.317716 268.834895 
-L 161.453096 267.58782 
-L 161.507248 267.71055 
-L 161.588476 268.032113 
-L 161.642628 267.910024 
-L 161.832161 266.448317 
-L 161.886313 266.732434 
-L 162.075845 268.189298 
-L 162.129997 268.135207 
-L 162.184149 268.152841 
-L 162.292453 269.009227 
-L 162.373681 269.640648 
-L 162.427833 269.385436 
-L 162.671517 264.98609 
-L 162.752745 265.789053 
-L 162.888126 267.107625 
-L 162.915202 266.981609 
-L 163.104734 265.162186 
-L 163.158886 265.410188 
-L 163.727482 269.875971 
-L 163.754558 269.91315 
-L 163.781634 269.861798 
-L 163.889939 268.844061 
-L 164.133623 265.932113 
-L 164.160699 266.025572 
-L 164.296079 268.026013 
-L 164.458535 269.912887 
-L 164.485611 269.852701 
-L 164.648067 268.343111 
-L 164.837599 267.4633 
-L 164.918828 267.594391 
-L 165.054208 268.702762 
-L 165.216664 270.05405 
-L 165.270816 269.934266 
-L 165.595728 267.706461 
-L 165.704032 267.728172 
-L 165.812336 267.189336 
-L 165.974793 266.280068 
-L 166.001869 266.389175 
-L 166.137249 268.313027 
-L 166.272629 269.664546 
-L 166.299705 269.544954 
-L 166.489237 267.669136 
-L 166.570465 268.114889 
-L 166.678769 268.981093 
-L 166.732921 268.786296 
-L 166.949529 266.382731 
-L 167.003682 266.718014 
-L 167.139062 267.619056 
-L 167.166138 267.503561 
-L 167.328594 266.00278 
-L 167.382746 266.177732 
-L 167.545202 267.77371 
-L 167.599354 267.498273 
-L 167.788886 265.358366 
-L 167.843038 265.819713 
-L 168.03257 268.222614 
-L 168.086723 267.959932 
-L 168.249179 266.740634 
-L 168.303331 266.905236 
-L 168.465787 267.768461 
-L 168.519939 267.700462 
-L 168.953155 266.56726 
-L 169.007307 266.643193 
-L 169.169764 267.799007 
-L 169.250992 268.161808 
-L 169.305144 268.040912 
-L 169.521752 266.539397 
-L 169.575904 266.773449 
-L 169.765436 268.581391 
-L 169.819588 268.363817 
-L 170.036196 265.618624 
-L 170.117424 266.141546 
-L 170.279881 267.603975 
-L 170.306957 267.529187 
-L 170.442337 266.887299 
-L 170.469413 267.003023 
-L 170.658945 269.454253 
-L 170.740173 268.878691 
-L 170.902629 266.187921 
-L 170.956781 266.474817 
-L 171.146313 269.227138 
-L 171.200465 268.743383 
-L 171.362922 266.295072 
-L 171.417074 266.514024 
-L 171.606606 268.687977 
-L 171.660758 268.503028 
-L 171.823214 267.55574 
-L 171.877366 267.647077 
-L 171.958594 267.804174 
-L 171.98567 267.773445 
-L 172.148126 267.13229 
-L 172.202278 267.282241 
-L 172.391811 268.657442 
-L 172.473039 268.392596 
-L 172.716723 267.510248 
-L 172.825027 266.871726 
-L 172.933331 266.242842 
-L 172.960407 266.316818 
-L 173.068711 267.73763 
-L 173.204091 269.106994 
-L 173.231167 268.952207 
-L 173.393624 267.069071 
-L 173.447776 267.248497 
-L 173.637308 269.276739 
-L 173.69146 268.772255 
-L 173.880992 266.420506 
-L 173.908068 266.567363 
-L 174.151752 268.619174 
-L 174.205904 268.612198 
-L 174.287132 268.876062 
-L 174.395437 269.38963 
-L 174.422513 269.3389 
-L 174.530817 268.022873 
-L 174.666197 266.556908 
-L 174.693273 266.679949 
-L 174.882805 268.648785 
-L 174.936957 268.335926 
-L 175.072337 267.141897 
-L 175.126489 267.436824 
-L 175.288945 269.352295 
-L 175.343097 269.070769 
-L 175.53263 266.610967 
-L 175.586782 266.936965 
-L 175.80339 269.409846 
-L 175.857542 269.352524 
-L 176.34491 267.805132 
-L 176.426138 267.995127 
-L 176.48029 268.06869 
-L 176.507367 268.028606 
-L 176.642747 267.142058 
-L 176.723975 266.810801 
-L 176.778127 266.951299 
-L 177.021811 268.091909 
-L 177.048887 268.073197 
-L 177.157191 268.098999 
-L 177.292571 268.331139 
-L 177.319647 268.302851 
-L 177.536256 267.554924 
-L 177.590408 267.706905 
-L 177.861168 269.624247 
-L 177.942396 269.372593 
-L 178.159004 267.470704 
-L 178.213156 267.78383 
-L 178.402688 270.244416 
-L 178.45684 269.941322 
-L 178.646373 267.017904 
-L 178.700525 267.333035 
-L 178.890057 270.225114 
-L 178.944209 269.948999 
-L 179.242045 267.253645 
-L 179.323273 267.046215 
-L 179.431577 266.64884 
-L 179.458653 266.713208 
-L 179.566957 268.030135 
-L 179.702338 269.745913 
-L 179.75649 269.568884 
-L 179.946022 267.725067 
-L 180.000174 267.86815 
-L 180.189706 268.883566 
-L 180.243858 268.831201 
-L 180.56877 268.111629 
-L 181.083215 264.240646 
-L 181.137367 264.473772 
-L 181.381051 267.578431 
-L 181.462279 267.22411 
-L 181.570583 266.79609 
-L 181.597659 266.869516 
-L 181.841344 268.497086 
-L 181.922572 268.162489 
-L 182.27456 266.450791 
-L 182.355788 266.525482 
-L 182.626548 267.349762 
-L 182.6807 267.245457 
-L 182.870233 266.528525 
-L 182.924385 266.60026 
-L 183.059765 267.695134 
-L 183.303449 269.419855 
-L 183.384677 269.234787 
-L 183.953274 266.64144 
-L 184.034502 266.989551 
-L 184.25111 269.956792 
-L 184.332338 269.360189 
-L 184.52187 266.424977 
-L 184.576022 266.838361 
-L 184.765554 269.627551 
-L 184.819706 269.363109 
-L 184.982163 267.842229 
-L 185.036315 267.981014 
-L 185.117543 268.353876 
-L 185.171695 268.208225 
-L 185.361227 266.10677 
-L 185.415379 266.557599 
-L 185.604911 270.13835 
-L 185.659063 269.836814 
-L 185.848595 266.650028 
-L 185.929823 267.159566 
-L 186.09228 268.715811 
-L 186.119356 268.643554 
-L 186.254736 267.941018 
-L 186.308888 268.057697 
-L 186.444268 268.68487 
-L 186.471344 268.604676 
-L 186.687952 266.48816 
-L 186.76918 267.01849 
-L 186.90456 268.364611 
-L 186.958712 268.172228 
-L 187.202397 265.355813 
-L 187.256549 265.684385 
-L 187.446081 267.153199 
-L 187.473157 267.083441 
-L 187.635613 266.275028 
-L 187.689765 266.498098 
-L 187.933449 268.972045 
-L 188.014677 268.514111 
-L 188.150058 267.632688 
-L 188.177134 267.70041 
-L 188.393742 269.658254 
-L 188.47497 269.215466 
-L 188.691578 267.214174 
-L 188.718654 267.304174 
-L 188.989414 268.824339 
-L 189.070642 268.765927 
-L 189.206023 268.368388 
-L 189.449707 266.705498 
-L 189.530935 266.983627 
-L 189.774619 268.338495 
-L 189.801695 268.327093 
-L 189.882923 268.355072 
-L 190.072455 269.052501 
-L 190.126607 268.904068 
-L 190.289064 266.965275 
-L 190.424444 265.97957 
-L 190.45152 266.023736 
-L 190.559824 266.830524 
-L 190.803508 268.722634 
-L 190.830584 268.664284 
-L 190.965964 267.530777 
-L 191.101344 266.787673 
-L 191.12842 266.878811 
-L 191.399181 269.065858 
-L 191.480409 268.787802 
-L 191.669941 266.43191 
-L 191.778245 265.467836 
-L 191.832397 265.683209 
-L 192.076081 269.545404 
-L 192.157309 268.801763 
-L 192.346842 266.116417 
-L 192.373918 266.246851 
-L 192.590526 268.648308 
-L 192.671754 268.265685 
-L 192.83421 267.350027 
-L 192.861286 267.376779 
-L 193.050818 267.775324 
-L 193.10497 267.696721 
-L 193.375731 267.220161 
-L 193.402807 267.232159 
-L 193.565263 267.55546 
-L 193.673567 267.635516 
-L 193.700643 267.612357 
-L 193.808947 267.557028 
-L 193.836023 267.591813 
-L 193.971403 267.877031 
-L 194.025555 267.775894 
-L 194.242163 266.447968 
-L 194.323391 266.79584 
-L 194.458772 267.555879 
-L 194.512924 267.473927 
-L 194.621228 267.129282 
-L 194.67538 267.224828 
-L 194.81076 267.826095 
-L 194.864912 267.676477 
-L 195.000292 266.789735 
-L 195.054444 267.027671 
-L 195.2169 269.126332 
-L 195.271052 268.781828 
-L 195.487661 264.45477 
-L 195.541813 265.255899 
-L 195.704269 268.453895 
-L 195.731345 268.252425 
-L 195.920877 264.612979 
-L 195.975029 265.251463 
-L 196.191637 269.994703 
-L 196.245789 269.555397 
-L 196.489473 267.512292 
-L 196.65193 266.999834 
-L 196.706082 267.217284 
-L 196.92269 270.220887 
-L 197.003918 269.477487 
-L 197.19345 266.80444 
-L 197.220526 266.890551 
-L 197.382982 268.048648 
-L 197.437134 267.939898 
-L 197.734971 266.485596 
-L 197.762047 266.497568 
-L 197.843275 266.84782 
-L 198.059883 269.431741 
-L 198.141111 268.808383 
-L 198.330643 265.751812 
-L 198.384795 266.110192 
-L 198.547251 268.010426 
-L 198.601403 267.661549 
-L 198.76386 265.994278 
-L 198.790936 266.152984 
-L 199.007544 269.297106 
-L 199.088772 268.932487 
-L 199.251228 267.836564 
-L 199.30538 267.896569 
-L 199.413684 268.021972 
-L 199.44076 267.992249 
-L 199.549064 267.905249 
-L 199.57614 267.958627 
-L 199.711521 268.360318 
-L 199.738597 268.300737 
-L 199.846901 267.209774 
-L 199.982281 266.048141 
-L 200.009357 266.181477 
-L 200.225965 268.740026 
-L 200.307193 268.253427 
-L 200.442573 267.280608 
-L 200.469649 267.332424 
-L 200.605029 268.006655 
-L 200.659181 267.848928 
-L 200.821638 266.502364 
-L 200.87579 266.713119 
-L 201.065322 268.760029 
-L 201.119474 268.489641 
-L 201.28193 266.905328 
-L 201.336082 267.056382 
-L 201.471462 267.886456 
-L 201.525614 267.683196 
-L 201.660994 266.697145 
-L 201.715146 266.957291 
-L 201.904679 269.425086 
-L 201.985907 269.003207 
-L 202.121287 267.786401 
-L 202.175439 267.877522 
-L 202.283743 268.374818 
-L 202.337895 268.271707 
-L 202.473275 267.627921 
-L 202.500351 267.730853 
-L 202.689883 269.642794 
-L 202.744035 269.130275 
-L 202.933568 265.567466 
-L 202.98772 265.840936 
-L 203.150176 267.827465 
-L 203.204328 267.619066 
-L 203.312632 266.806946 
-L 203.366784 267.031021 
-L 203.556316 269.443501 
-L 203.610468 269.116304 
-L 203.8 267.005888 
-L 203.854152 267.134626 
-L 203.962457 267.44124 
-L 203.989533 267.395947 
-L 204.070761 267.176215 
-L 204.124913 267.299374 
-L 204.341521 269.412577 
-L 204.395673 269.035426 
-L 204.531053 267.59264 
-L 204.585205 267.749665 
-L 204.747661 269.154136 
-L 204.801813 268.793451 
-L 204.937194 267.326398 
-L 204.991346 267.582038 
-L 205.180878 270.11397 
-L 205.23503 269.696923 
-L 205.50579 266.362475 
-L 205.532866 266.392151 
-L 205.803626 266.887144 
-L 205.966082 267.536445 
-L 205.993159 267.491495 
-L 206.074387 267.322994 
-L 206.128539 267.42492 
-L 206.290995 268.51303 
-L 206.345147 268.373202 
-L 206.534679 266.419241 
-L 206.615907 266.957686 
-L 206.751287 268.3858 
-L 206.805439 268.140005 
-L 206.994971 265.689597 
-L 207.0762 266.157218 
-L 207.319884 268.868243 
-L 207.374036 268.790192 
-L 207.969708 266.632526 
-L 208.02386 266.857086 
-L 208.240469 269.682927 
-L 208.321697 268.965699 
-L 208.538305 265.344636 
-L 208.592457 265.462721 
-L 208.754913 266.06893 
-L 208.781989 266.047378 
-L 208.836141 266.046342 
-L 208.863217 266.122484 
-L 208.998597 267.475452 
-L 209.106901 268.137443 
-L 209.133977 268.018007 
-L 209.350586 266.187729 
-L 209.404738 266.487192 
-L 209.621346 267.889451 
-L 209.648422 267.860521 
-L 209.810878 267.681015 
-L 209.837954 267.713184 
-L 210.054562 267.999574 
-L 210.081638 267.952793 
-L 210.217019 267.206531 
-L 210.325323 266.787378 
-L 210.352399 266.894394 
-L 210.514855 269.064641 
-L 210.569007 269.446757 
-L 210.623159 269.190257 
-L 210.785615 266.964434 
-L 210.839767 267.169748 
-L 211.029299 269.790741 
-L 211.083451 269.264546 
-L 211.245908 266.70565 
-L 211.30006 266.947723 
-L 211.408364 268.009883 
-L 211.462516 267.77825 
-L 211.652048 264.859235 
-L 211.7062 265.514538 
-L 211.868656 268.941401 
-L 211.922808 268.6402 
-L 212.085264 266.011667 
-L 212.139416 266.422143 
-L 212.301873 269.086201 
-L 212.356025 268.712583 
-L 212.545557 266.006127 
-L 212.572633 266.191675 
-L 212.735089 268.288417 
-L 212.789241 268.056469 
-L 213.005849 265.206629 
-L 213.060001 265.520749 
-L 213.384914 268.009823 
-L 213.54737 267.972742 
-L 213.655674 267.499561 
-L 213.81813 266.471981 
-L 213.872282 266.588316 
-L 214.115966 268.89498 
-L 214.197194 268.299125 
-L 214.386726 266.581598 
-L 214.413803 266.676949 
-L 214.603335 267.708691 
-L 214.657487 267.590424 
-L 214.765791 267.346414 
-L 214.819943 267.423806 
-L 214.901171 267.545995 
-L 214.928247 267.501578 
-L 215.117779 266.497472 
-L 215.171931 266.848291 
-L 215.361463 269.268832 
-L 215.415615 268.85539 
-L 215.632224 265.5935 
-L 215.686376 266.046399 
-L 215.902984 268.336496 
-L 215.93006 268.286563 
-L 216.173744 267.778687 
-L 216.309124 267.883405 
-L 216.444504 268.612889 
-L 216.552809 269.000985 
-L 216.579885 268.930108 
-L 216.769417 267.313959 
-L 216.904797 266.932702 
-L 216.931873 266.944206 
-L 217.040177 267.163185 
-L 217.175557 268.329572 
-L 217.338013 269.746223 
-L 217.365089 269.72459 
-L 217.527545 269.050043 
-L 217.608774 269.267975 
-L 217.690002 269.543201 
-L 217.744154 269.385018 
-L 218.014914 266.993472 
-L 218.096142 267.243751 
-L 218.475206 268.795253 
-L 218.529358 268.45636 
-L 218.691815 266.722533 
-L 218.745967 267.039437 
-L 218.935499 269.705171 
-L 218.989651 269.248359 
-L 219.179183 266.290815 
-L 219.233335 266.612329 
-L 219.422867 268.64553 
-L 219.477019 268.440008 
-L 219.774856 266.806859 
-L 219.829008 266.893594 
-L 219.964388 267.928461 
-L 220.072692 268.518473 
-L 220.099768 268.428355 
-L 220.262224 267.015666 
-L 220.316376 267.226072 
-L 220.505908 269.924627 
-L 220.56006 269.522196 
-L 220.749593 266.072291 
-L 220.803745 266.477039 
-L 221.020353 269.969233 
-L 221.074505 269.523299 
-L 221.345265 267.195593 
-L 221.453569 267.119421 
-L 221.697253 266.845324 
-L 221.832634 267.022123 
-L 222.049242 267.980631 
-L 222.13047 267.676099 
-L 222.26585 266.899546 
-L 222.292926 266.97129 
-L 222.428306 268.696726 
-L 222.53661 269.618953 
-L 222.563686 269.53316 
-L 222.753218 267.780725 
-L 222.834447 268.13105 
-L 222.969827 269.203625 
-L 223.023979 269.080424 
-L 223.294739 266.606313 
-L 223.375967 266.966181 
-L 223.565499 267.980397 
-L 223.592575 267.941577 
-L 223.809183 267.134655 
-L 223.890412 267.341331 
-L 223.97164 267.490135 
-L 223.998716 267.429365 
-L 224.134096 266.250038 
-L 224.2424 265.686957 
-L 224.269476 265.788352 
-L 224.486084 267.547267 
-L 224.567312 267.295903 
-L 224.675616 266.949097 
-L 224.702692 266.993253 
-L 224.865148 267.539423 
-L 224.892224 267.461246 
-L 225.108833 265.750938 
-L 225.190061 266.073308 
-L 225.460821 268.428517 
-L 225.487897 268.346564 
-L 225.650353 266.807953 
-L 225.758657 266.173549 
-L 225.812809 266.278775 
-L 225.975265 266.923125 
-L 226.029418 266.819134 
-L 226.137722 266.577559 
-L 226.164798 266.645403 
-L 226.35433 267.966884 
-L 226.435558 267.59897 
-L 226.570938 266.694931 
-L 226.598014 266.823935 
-L 226.787546 269.159699 
-L 226.868774 268.443807 
-L 227.058307 265.70498 
-L 227.085383 265.819032 
-L 227.247839 267.054232 
-L 227.301991 266.885505 
-L 227.383219 266.54452 
-L 227.410295 266.596211 
-L 227.518599 268.041599 
-L 227.653979 269.604913 
-L 227.681055 269.447824 
-L 227.897663 266.877331 
-L 227.951815 267.120976 
-L 228.060119 267.597018 
-L 228.087195 267.526552 
-L 228.222576 266.87237 
-L 228.249652 266.979941 
-L 228.385032 269.140146 
-L 228.46626 270.077306 
-L 228.520412 269.900036 
-L 228.709944 268.033475 
-L 228.764096 268.346136 
-L 228.8724 269.055262 
-L 228.899476 268.98081 
-L 229.034856 267.114085 
-L 229.116084 266.462794 
-L 229.14316 266.561561 
-L 229.386845 269.686043 
-L 229.495149 269.003215 
-L 229.711757 267.710886 
-L 229.792985 267.778622 
-L 230.009593 268.467299 
-L 230.063745 268.326596 
-L 230.30743 266.340835 
-L 230.415734 266.783913 
-L 230.71357 268.37958 
-L 230.794798 268.492822 
-L 230.821874 268.465175 
-L 230.930178 267.955513 
-L 231.038482 267.439554 
-L 231.092634 267.535748 
-L 231.282167 268.710852 
-L 231.336319 268.550439 
-L 231.552927 267.140613 
-L 231.607079 267.259146 
-L 231.742459 267.542768 
-L 231.769535 267.508608 
-L 231.850763 267.389948 
-L 231.904915 267.47608 
-L 232.094447 268.340119 
-L 232.148599 268.05596 
-L 232.365208 266.136398 
-L 232.41936 266.382633 
-L 232.852576 269.729537 
-L 232.879652 269.643795 
-L 233.015032 267.864173 
-L 233.09626 267.166476 
-L 233.123336 267.26309 
-L 233.312868 270.192927 
-L 233.394097 269.339421 
-L 233.583629 265.035559 
-L 233.637781 265.571541 
-L 233.827313 268.750593 
-L 233.854389 268.571903 
-L 234.016845 266.65683 
-L 234.070997 266.91044 
-L 234.206377 268.101253 
-L 234.260529 267.791304 
-L 234.395909 266.21211 
-L 234.450062 266.452378 
-L 234.639594 269.69421 
-L 234.720822 269.015616 
-L 234.883278 266.553027 
-L 234.93743 266.772243 
-L 235.099886 268.042414 
-L 235.126962 267.963391 
-L 235.262342 267.251123 
-L 235.316494 267.446592 
-L 235.478951 268.526968 
-L 235.506027 268.411125 
-L 235.695559 266.770944 
-L 235.749711 267.194173 
-L 235.939243 269.768329 
-L 235.993395 269.529416 
-L 236.237079 266.697297 
-L 236.318307 266.921928 
-L 236.480763 267.6305 
-L 236.534916 267.57163 
-L 236.724448 266.884195 
-L 236.7786 267.068038 
-L 236.995208 268.948015 
-L 237.04936 268.664654 
-L 237.265968 266.111671 
-L 237.32012 266.336789 
-L 237.482576 267.414597 
-L 237.509652 267.337982 
-L 237.645033 266.556475 
-L 237.699185 266.705017 
-L 237.888717 268.423181 
-L 237.942869 268.120403 
-L 238.105325 266.425064 
-L 238.159477 266.703893 
-L 238.349009 268.984767 
-L 238.403161 268.679704 
-L 238.592693 266.598947 
-L 238.646846 266.801457 
-L 238.809302 267.870618 
-L 238.863454 267.708629 
-L 239.02591 266.852296 
-L 239.080062 266.948464 
-L 239.43205 268.104598 
-L 239.540354 268.060782 
-L 239.756963 267.494204 
-L 239.811115 267.590786 
-L 239.919419 267.767135 
-L 239.946495 267.704028 
-L 240.163103 266.333961 
-L 240.244331 266.784981 
-L 240.379711 267.926959 
-L 240.433863 267.780158 
-L 240.650471 265.781759 
-L 240.704623 266.077257 
-L 240.86708 267.37689 
-L 240.921232 267.300478 
-L 241.029536 266.919475 
-L 241.083688 267.046276 
-L 241.27322 268.246479 
-L 241.327372 267.943542 
-L 241.571056 265.473735 
-L 241.625208 265.606292 
-L 241.814741 267.124505 
-L 242.031349 268.961295 
-L 242.058425 268.906629 
-L 242.166729 267.798987 
-L 242.329185 266.241244 
-L 242.356261 266.252324 
-L 242.924858 267.977984 
-L 242.97901 267.835503 
-L 243.11439 267.511783 
-L 243.141466 267.558826 
-L 243.24977 267.806983 
-L 243.276846 267.772385 
-L 243.38515 267.03833 
-L 243.466378 266.521794 
-L 243.52053 266.662064 
-L 243.737138 269.278684 
-L 243.818366 268.883445 
-L 243.980823 267.730426 
-L 244.007899 267.821476 
-L 244.143279 268.430545 
-L 244.170355 268.332129 
-L 244.386963 266.210812 
-L 244.468191 266.824919 
-L 244.603571 268.169272 
-L 244.657723 268.03276 
-L 244.820179 266.774456 
-L 244.874331 266.94378 
-L 245.118016 268.935181 
-L 245.172168 268.773214 
-L 245.578308 266.745368 
-L 245.63246 266.836254 
-L 245.849068 267.660278 
-L 245.90322 267.586807 
-L 245.984448 267.486844 
-L 246.011525 267.515591 
-L 246.201057 268.24219 
-L 246.282285 267.980746 
-L 246.498893 266.569797 
-L 246.553045 266.679457 
-L 246.986261 268.405848 
-L 247.040413 268.304696 
-L 247.284098 267.212516 
-L 247.365326 267.394263 
-L 247.47363 267.628111 
-L 247.527782 267.568252 
-L 247.690238 267.195713 
-L 247.74439 267.250161 
-L 248.096378 267.856988 
-L 248.231759 267.771895 
-L 248.367139 267.25822 
-L 248.610823 266.138522 
-L 248.637899 266.153409 
-L 248.746203 266.562168 
-L 249.071115 267.860754 
-L 249.233572 268.096026 
-L 249.260648 268.048259 
-L 249.368952 267.322448 
-L 249.531408 265.991522 
-L 249.58556 266.132219 
-L 249.829244 268.149309 
-L 249.910472 267.83324 
-L 250.045852 267.379796 
-L 250.072928 267.428239 
-L 250.208308 267.818115 
-L 250.262461 267.733382 
-L 250.451993 266.919121 
-L 250.506145 267.067511 
-L 250.831057 269.369798 
-L 250.912285 269.071414 
-L 251.210121 266.454474 
-L 251.29135 266.715706 
-L 251.507958 267.49292 
-L 251.616262 267.536988 
-L 251.859946 268.407975 
-L 251.941174 268.209816 
-L 252.23901 267.376129 
-L 252.509771 266.882157 
-L 252.563923 267.006641 
-L 253.105443 269.180229 
-L 253.186671 268.980878 
-L 253.457432 267.401834 
-L 253.53866 267.652148 
-L 253.646964 268.02792 
-L 253.67404 267.991883 
-L 253.782344 267.20987 
-L 253.890648 266.456882 
-L 253.9448 266.592488 
-L 254.161408 268.633975 
-L 254.242636 268.194559 
-L 254.513397 266.014936 
-L 254.540473 266.055217 
-L 254.675853 266.647117 
-L 254.946613 269.026981 
-L 255.027841 268.680182 
-L 255.244449 266.972183 
-L 255.298601 267.073331 
-L 255.406905 267.287626 
-L 255.433981 267.235392 
-L 255.65059 266.342081 
-L 255.704742 266.509519 
-L 255.840122 267.029352 
-L 255.894274 266.972371 
-L 256.002578 266.744504 
-L 256.029654 266.801827 
-L 256.137958 267.861185 
-L 256.32749 269.81642 
-L 256.354566 269.733847 
-L 256.544099 268.447661 
-L 256.598251 268.617946 
-L 256.760707 269.778644 
-L 256.814859 269.654517 
-L 256.977315 267.471445 
-L 257.112695 266.308853 
-L 257.139771 266.327662 
-L 257.248075 267.005938 
-L 257.437607 268.009021 
-L 257.464683 267.955356 
-L 257.681292 267.129432 
-L 257.735444 267.284375 
-L 257.8979 267.876856 
-L 257.924976 267.819039 
-L 258.087432 267.055724 
-L 258.141584 267.178929 
-L 258.331116 268.415943 
-L 258.385268 268.07515 
-L 258.601876 265.635586 
-L 258.656029 265.905467 
-L 259.035093 268.75568 
-L 259.062169 268.788568 
-L 259.089245 268.745574 
-L 259.170473 267.989935 
-L 259.360005 264.985391 
-L 259.414157 265.221051 
-L 259.603689 268.036397 
-L 259.684917 267.543315 
-L 259.847374 265.8372 
-L 259.87445 265.921041 
-L 260.063982 267.321241 
-L 260.118134 267.134886 
-L 260.253514 266.448378 
-L 260.307666 266.566293 
-L 260.659654 268.152443 
-L 260.68673 268.118453 
-L 260.767959 267.595482 
-L 260.957491 265.720264 
-L 260.984567 265.897897 
-L 261.228251 270.013589 
-L 261.309479 269.281927 
-L 261.444859 268.110752 
-L 261.471935 268.178494 
-L 261.553163 268.4792 
-L 261.580239 268.414421 
-L 261.661467 267.24561 
-L 261.796847 264.508645 
-L 261.851 264.808536 
-L 262.067608 269.953297 
-L 262.12176 269.167336 
-L 262.311292 265.316548 
-L 262.338368 265.524528 
-L 262.446672 266.771191 
-L 262.500824 266.264082 
-L 262.66328 259.069882 
-L 262.771584 256.746016 
-L 262.79866 257.077831 
-L 263.123573 264.582967 
-L 263.204801 264.577178 
-L 263.286029 265.117956 
-L 263.638017 270.478163 
-L 263.746321 269.818414 
-L 264.017082 267.444329 
-L 264.260766 267.444478 
-L 264.450298 268.406074 
-L 264.531526 268.024261 
-L 264.748134 265.71604 
-L 264.802286 266.117633 
-L 265.018895 268.450157 
-L 265.045971 268.356823 
-L 265.181351 267.55555 
-L 265.235503 267.700522 
-L 265.479187 270.211477 
-L 265.560415 269.818295 
-L 265.912403 267.25504 
-L 265.993631 267.235097 
-L 266.020708 267.266843 
-L 266.129012 267.359533 
-L 266.156088 267.310497 
-L 266.291468 266.406841 
-L 266.372696 265.925626 
-L 266.426848 266.046026 
-L 266.562228 267.970265 
-L 266.697608 269.212164 
-L 266.724684 269.107619 
-L 266.968368 267.293145 
-L 267.02252 267.418442 
-L 267.320357 268.838795 
-L 267.428661 269.399867 
-L 267.455737 269.304868 
-L 267.564041 267.734308 
-L 267.726497 265.595044 
-L 267.753573 265.713522 
-L 267.970181 267.928272 
-L 268.051409 267.554749 
-L 268.18679 266.863746 
-L 268.240942 266.909915 
-L 268.565854 267.849587 
-L 268.701234 268.70789 
-L 268.755386 268.580421 
-L 268.890766 267.852702 
-L 268.944918 267.991332 
-L 269.107374 269.021672 
-L 269.13445 268.892298 
-L 269.351059 265.838756 
-L 269.459363 266.622464 
-L 269.594743 267.798262 
-L 269.621819 267.726676 
-L 269.784275 266.873064 
-L 269.811351 266.972549 
-L 270.000883 268.398338 
-L 270.055035 268.239876 
-L 270.190415 267.522395 
-L 270.244568 267.634865 
-L 270.407024 268.454892 
-L 270.461176 268.380585 
-L 270.56948 268.080684 
-L 270.623632 268.159187 
-L 270.759012 268.63231 
-L 270.813164 268.504629 
-L 270.948544 267.752817 
-L 271.002696 267.870095 
-L 271.192228 269.613619 
-L 271.273456 269.168733 
-L 271.435913 267.663908 
-L 271.490065 267.869647 
-L 271.625445 268.610972 
-L 271.652521 268.499784 
-L 271.842053 266.46985 
-L 271.923281 266.92786 
-L 272.085737 268.745066 
-L 272.139889 268.517092 
-L 272.302345 266.874398 
-L 272.356498 267.018302 
-L 272.54603 268.79973 
-L 272.600182 268.516062 
-L 272.81679 266.003808 
-L 272.870942 266.28225 
-L 273.060474 268.225628 
-L 273.114626 267.940738 
-L 273.35831 264.586592 
-L 273.412463 265.011154 
-L 273.656147 268.509055 
-L 273.710299 268.148576 
-L 273.899831 266.268696 
-L 273.953983 266.491209 
-L 274.251819 269.539482 
-L 274.333047 269.07109 
-L 274.576732 266.654873 
-L 274.630884 266.983751 
-L 274.820416 269.093495 
-L 274.874568 268.938452 
-L 275.091176 266.641057 
-L 275.172404 266.967411 
-L 275.33486 267.872628 
-L 275.361936 267.801005 
-L 275.551469 266.841033 
-L 275.605621 266.932299 
-L 275.876381 267.949835 
-L 275.930533 267.913233 
-L 276.065913 267.526632 
-L 276.255445 266.855485 
-L 276.282521 266.87747 
-L 276.417901 267.48213 
-L 276.526205 267.839269 
-L 276.580358 267.772734 
-L 276.878194 266.764043 
-L 276.932346 266.844865 
-L 277.067726 267.631502 
-L 277.230182 268.570695 
-L 277.257258 268.540608 
-L 277.44679 267.541293 
-L 277.528018 267.83652 
-L 277.717551 269.30141 
-L 277.771703 269.054837 
-L 277.961235 267.536572 
-L 278.015387 267.771598 
-L 278.177843 269.066842 
-L 278.231995 268.876053 
-L 278.475679 266.298403 
-L 278.529831 266.672918 
-L 278.74644 269.145266 
-L 278.800592 268.97249 
-L 279.044276 267.276474 
-L 279.098428 267.370549 
-L 279.179656 267.486442 
-L 279.206732 267.448934 
-L 279.342112 266.686783 
-L 279.42334 266.356233 
-L 279.477492 266.442324 
-L 279.721177 267.704331 
-L 279.775329 267.567317 
-L 279.937785 267.096396 
-L 279.964861 267.137431 
-L 280.208545 268.143176 
-L 280.289773 267.884597 
-L 280.533457 265.988419 
-L 280.587609 266.153389 
-L 280.85837 268.477601 
-L 280.939598 268.126859 
-L 281.102054 267.506475 
-L 281.12913 267.516005 
-L 281.237434 267.514454 
-L 281.372814 267.239732 
-L 281.39989 267.294623 
-L 281.508194 268.372914 
-L 281.67065 270.264775 
-L 281.697726 270.177301 
-L 281.833107 268.012026 
-L 281.941411 266.698153 
-L 281.995563 266.838916 
-L 282.185095 268.499112 
-L 282.266323 268.300799 
-L 282.401703 267.882162 
-L 282.428779 267.921032 
-L 282.510007 268.070796 
-L 282.564159 267.952819 
-L 282.753691 266.339603 
-L 282.834919 266.783741 
-L 283.051528 269.588177 
-L 283.078604 269.430073 
-L 283.295212 266.779065 
-L 283.37644 267.01507 
-L 283.484744 267.47198 
-L 283.538896 267.365575 
-L 283.674276 266.889704 
-L 283.701352 266.941388 
-L 284.242873 269.546996 
-L 284.297025 269.325289 
-L 284.513633 266.731377 
-L 284.594861 267.033441 
-L 284.703165 267.607867 
-L 284.730241 267.550901 
-L 284.892697 266.386032 
-L 284.946849 266.6068 
-L 285.136382 268.813393 
-L 285.190534 268.425271 
-L 285.35299 266.204204 
-L 285.407142 266.538284 
-L 285.596674 269.320552 
-L 285.650826 268.699349 
-L 285.867434 264.628434 
-L 285.89451 264.838161 
-L 286.138195 268.492749 
-L 286.219423 268.077415 
-L 286.436031 267.126844 
-L 286.544335 266.720654 
-L 286.706791 265.882091 
-L 286.760943 265.959645 
-L 286.950475 266.680034 
-L 287.004627 266.561091 
-L 287.112932 266.265397 
-L 287.140008 266.314371 
-L 287.248312 267.352115 
-L 287.46492 269.662009 
-L 287.491996 269.568082 
-L 287.816908 267.183068 
-L 287.898136 267.36693 
-L 288.114744 268.870292 
-L 288.250125 269.412288 
-L 288.277201 269.399452 
-L 288.385505 269.046085 
-L 288.710417 267.007605 
-L 288.791645 267.350501 
-L 288.981177 269.064568 
-L 289.035329 268.908643 
-L 289.224862 267.527496 
-L 289.279014 267.769094 
-L 289.468546 269.100399 
-L 289.522698 268.977072 
-L 289.658078 268.5797 
-L 289.71223 268.651914 
-L 289.793458 268.764499 
-L 289.820534 268.734492 
-L 289.98299 268.138396 
-L 290.037142 268.247545 
-L 290.199598 269.185028 
-L 290.253751 268.993521 
-L 290.416207 267.657583 
-L 290.470359 267.846013 
-L 290.632815 269.139577 
-L 290.659891 269.008163 
-L 290.876499 266.187153 
-L 290.957727 266.957462 
-L 291.120183 268.897901 
-L 291.174335 268.744493 
-L 291.309716 268.174761 
-L 291.336792 268.234059 
-L 291.445096 268.58657 
-L 291.472172 268.524948 
-L 291.580476 267.271961 
-L 291.715856 265.920004 
-L 291.742932 266.055447 
-L 291.986616 269.029549 
-L 292.067844 268.321056 
-L 292.284452 266.353617 
-L 292.311528 266.410678 
-L 292.582289 267.663771 
-L 292.663517 267.464205 
-L 292.771821 267.14576 
-L 292.825973 267.216128 
-L 293.015505 268.15204 
-L 293.096733 267.947679 
-L 293.232113 267.287037 
-L 293.286265 267.422337 
-L 293.502874 269.083521 
-L 293.584102 268.752235 
-L 293.80071 267.406699 
-L 293.827786 267.463847 
-L 294.044394 268.46799 
-L 294.098546 268.30852 
-L 294.288078 266.169329 
-L 294.369306 265.748553 
-L 294.423458 265.95267 
-L 294.640067 267.52136 
-L 294.694219 267.432567 
-L 294.910827 267.079544 
-L 294.992055 266.861314 
-L 295.100359 266.396144 
-L 295.154511 266.50872 
-L 295.289891 268.379389 
-L 295.398195 269.314317 
-L 295.425271 269.168233 
-L 295.614804 266.813363 
-L 295.668956 267.153643 
-L 295.858488 269.842406 
-L 295.91264 269.546047 
-L 296.129248 267.237674 
-L 296.1834 267.417511 
-L 296.31878 267.834799 
-L 296.345856 267.810732 
-L 296.427084 267.740813 
-L 296.45416 267.778342 
-L 296.616617 268.347302 
-L 296.670769 268.133964 
-L 296.887377 266.023793 
-L 296.941529 266.300761 
-L 297.158137 268.399801 
-L 297.212289 268.227448 
-L 297.401821 267.231686 
-L 297.455973 267.309057 
-L 297.970418 268.640163 
-L 298.051646 268.403822 
-L 298.322406 266.442112 
-L 298.376558 266.646806 
-L 298.755623 270.262562 
-L 298.863927 270.852961 
-L 298.891003 270.782492 
-L 298.999307 269.508251 
-L 299.188839 267.612587 
-L 299.215915 267.661785 
-L 299.297143 267.83708 
-L 299.324219 267.801711 
-L 299.486675 266.883084 
-L 299.540827 267.146632 
-L 299.73036 270.20971 
-L 299.811588 269.460798 
-L 300.028196 265.059677 
-L 300.082348 265.576286 
-L 300.27188 267.754454 
-L 300.298956 267.708653 
-L 300.380184 267.488597 
-L 300.434336 267.593505 
-L 300.596792 268.395594 
-L 300.623868 268.288672 
-L 300.813401 266.739836 
-L 300.867553 267.045323 
-L 301.057085 268.694585 
-L 301.084161 268.589693 
-L 301.246617 267.641893 
-L 301.300769 267.869234 
-L 301.463225 268.789429 
-L 301.490301 268.706459 
-L 301.733985 267.377519 
-L 301.815213 267.421882 
-L 301.896442 267.204517 
-L 302.085974 266.368732 
-L 302.140126 266.489799 
-L 302.546266 268.554607 
-L 302.627494 268.329094 
-L 302.844102 267.122867 
-L 302.898255 267.192787 
-L 303.223167 268.693205 
-L 303.304395 268.482998 
-L 303.493927 267.557658 
-L 303.548079 267.662694 
-L 303.656383 268.073432 
-L 303.710535 267.973026 
-L 303.900067 266.247529 
-L 303.981296 266.749441 
-L 304.170828 269.163261 
-L 304.197904 269.008483 
-L 304.387436 266.493802 
-L 304.468664 267.104926 
-L 304.63112 269.260577 
-L 304.685272 269.126943 
-L 304.874804 267.732953 
-L 304.928956 267.831248 
-L 305.064337 268.156352 
-L 305.091413 268.126357 
-L 305.226793 267.938098 
-L 305.253869 267.970699 
-L 305.362173 268.161562 
-L 305.416325 268.064361 
-L 305.687085 266.578799 
-L 305.768313 266.778075 
-L 306.093226 267.760709 
-L 306.147378 267.660497 
-L 306.33691 266.354009 
-L 306.391062 266.569967 
-L 306.60767 269.222588 
-L 306.661822 268.740183 
-L 306.851354 265.521741 
-L 306.905506 265.766031 
-L 307.095038 268.27335 
-L 307.149191 267.896131 
-L 307.338723 265.367057 
-L 307.392875 265.851211 
-L 307.582407 269.179357 
-L 307.636559 268.931346 
-L 307.853167 265.483483 
-L 307.907319 265.882699 
-L 308.096851 268.684636 
-L 308.151003 268.535961 
-L 308.286384 267.529786 
-L 308.340536 267.794721 
-L 308.557144 270.41508 
-L 308.611296 270.01748 
-L 308.800828 268.15471 
-L 308.827904 268.21739 
-L 308.963284 268.707963 
-L 308.99036 268.614532 
-L 309.261121 266.343806 
-L 309.396501 266.543636 
-L 309.531881 266.712988 
-L 309.667261 268.016939 
-L 309.802641 269.058706 
-L 309.829717 268.992466 
-L 309.965097 267.611642 
-L 310.154629 266.368277 
-L 310.235857 266.629478 
-L 310.479542 268.791157 
-L 310.56077 268.263878 
-L 310.750302 265.768389 
-L 310.804454 266.145127 
-L 310.993986 268.879715 
-L 311.048138 268.512259 
-L 311.23767 265.538059 
-L 311.318899 266.037707 
-L 311.562583 269.139025 
-L 311.589659 269.059609 
-L 311.860419 267.037715 
-L 311.941647 267.571507 
-L 312.077027 268.840921 
-L 312.131179 268.675046 
-L 312.374864 264.910093 
-L 312.456092 265.705959 
-L 312.6727 268.348348 
-L 312.699776 268.277051 
-L 312.916384 267.826969 
-L 312.997612 267.394817 
-L 313.187144 265.601883 
-L 313.241296 265.862005 
-L 313.403752 267.089315 
-L 313.430829 266.948331 
-L 313.620361 264.941815 
-L 313.674513 265.282553 
-L 313.891121 267.900886 
-L 313.945273 267.835954 
-L 313.999425 267.747826 
-L 314.026501 267.780895 
-L 314.134805 268.596327 
-L 314.243109 269.280262 
-L 314.270185 269.215209 
-L 314.486794 267.451027 
-L 314.595098 267.74608 
-L 314.676326 267.898478 
-L 314.703402 267.862457 
-L 314.811706 267.637512 
-L 314.865858 267.752258 
-L 315.028314 268.492759 
-L 315.05539 268.403326 
-L 315.271998 266.202554 
-L 315.353226 266.647313 
-L 315.569835 268.816118 
-L 315.596911 268.743485 
-L 315.948899 266.476884 
-L 316.057203 266.763401 
-L 316.382115 268.011592 
-L 316.598724 268.115604 
-L 316.6258 268.023993 
-L 316.89656 266.460439 
-L 316.977788 266.644906 
-L 317.086092 266.872867 
-L 317.140244 266.814224 
-L 317.248548 266.624479 
-L 317.3027 266.713223 
-L 317.546384 268.139239 
-L 317.627612 267.864432 
-L 317.790069 266.874152 
-L 317.844221 267.015273 
-L 318.033753 268.304427 
-L 318.060829 268.167711 
-L 318.223285 265.392089 
-L 318.304513 264.828254 
-L 318.331589 265.027057 
-L 318.521121 268.247798 
-L 318.602349 267.430871 
-L 318.791882 263.939183 
-L 318.818958 264.189668 
-L 319.035566 268.038776 
-L 319.089718 267.458017 
-L 319.252174 264.988219 
-L 319.306326 265.261492 
-L 319.495858 267.537559 
-L 319.55001 267.400331 
-L 319.712466 266.454497 
-L 319.766619 266.527205 
-L 319.874923 266.806869 
-L 319.929075 266.717582 
-L 320.118607 265.898762 
-L 320.172759 265.98216 
-L 320.335215 266.449995 
-L 320.362291 266.396166 
-L 320.524747 265.323249 
-L 320.633051 265.010508 
-L 320.660127 265.066156 
-L 320.822584 265.610592 
-L 320.876736 265.508572 
-L 321.282876 263.355292 
-L 321.607788 253.841221 
-L 321.743168 243.046699 
-L 322.447145 153.719778 
-L 322.501297 154.658012 
-L 322.609601 167.489691 
-L 323.151122 255.533397 
-L 323.50311 264.754863 
-L 323.692642 265.791068 
-L 323.746794 265.49458 
-L 323.990479 261.368459 
-L 324.071707 261.993574 
-L 324.234163 263.436029 
-L 324.261239 263.410556 
-L 324.342467 263.262955 
-L 324.369543 263.298262 
-L 324.477847 264.096061 
-L 324.667379 265.117459 
-L 324.748607 265.308341 
-L 324.938139 266.428173 
-L 324.992291 266.307793 
-L 325.07352 266.019324 
-L 325.100596 266.061226 
-L 325.181824 266.978724 
-L 325.34428 269.512683 
-L 325.398432 269.086802 
-L 325.560888 266.371857 
-L 325.61504 266.732309 
-L 325.777496 269.435252 
-L 325.831648 268.848941 
-L 326.02118 263.912402 
-L 326.102409 264.753983 
-L 326.264865 267.974556 
-L 326.319017 267.699619 
-L 326.454397 266.094758 
-L 326.508549 266.321446 
-L 326.698081 268.965416 
-L 326.752233 268.683582 
-L 326.914689 266.615269 
-L 326.968841 266.80247 
-L 327.18545 269.913219 
-L 327.266678 269.162292 
-L 327.483286 265.780584 
-L 327.537438 266.062475 
-L 327.72697 267.794434 
-L 327.781122 267.708788 
-L 328.051882 266.98763 
-L 328.187263 266.7649 
-L 328.241415 266.892811 
-L 328.458023 268.685899 
-L 328.512175 268.179923 
-L 328.701707 264.739646 
-L 328.755859 265.059943 
-L 328.972467 268.703201 
-L 329.026619 268.391127 
-L 329.134923 267.527573 
-L 329.189075 267.721041 
-L 329.351532 269.087959 
-L 329.378608 268.923226 
-L 329.595216 266.009332 
-L 329.676444 266.652821 
-L 329.784748 267.362942 
-L 329.811824 267.223341 
-L 330.001356 265.309259 
-L 330.055508 265.727603 
-L 330.217964 267.65738 
-L 330.272116 267.519982 
-L 330.380421 266.869235 
-L 330.434573 267.058699 
-L 330.597029 268.908865 
-L 330.651181 268.692085 
-L 330.867789 265.388018 
-L 330.921941 265.925394 
-L 331.111473 269.006497 
-L 331.165625 268.573881 
-L 331.40931 264.844049 
-L 331.463462 265.207847 
-L 331.842526 268.545088 
-L 331.95083 268.741908 
-L 331.977906 268.687716 
-L 332.113286 267.74317 
-L 332.275742 266.912106 
-L 332.302818 266.943991 
-L 332.411123 267.149673 
-L 332.465275 267.050893 
-L 332.654807 266.083292 
-L 332.708959 266.274905 
-L 332.925567 268.039734 
-L 332.979719 267.819568 
-L 333.196327 266.227204 
-L 333.250479 266.319846 
-L 333.602468 268.024193 
-L 333.710772 268.575195 
-L 333.764924 268.416564 
-L 334.008608 266.043536 
-L 334.089836 266.505763 
-L 334.360596 268.809804 
-L 334.387672 268.796994 
-L 334.495977 268.472161 
-L 334.658433 266.96335 
-L 334.820889 265.534452 
-L 334.847965 265.634247 
-L 334.983345 267.669733 
-L 335.118725 269.118463 
-L 335.145801 269.021421 
-L 335.389485 266.870078 
-L 335.470713 267.212774 
-L 335.579018 267.542873 
-L 335.606094 267.503793 
-L 335.76855 267.086236 
-L 335.822702 267.165806 
-L 335.931006 267.32755 
-L 335.958082 267.289254 
-L 336.093462 266.903305 
-L 336.147614 267.01436 
-L 336.364222 268.338011 
-L 336.418374 268.15824 
-L 336.526678 267.734016 
-L 336.58083 267.869157 
-L 336.716211 268.466177 
-L 336.743287 268.357838 
-L 336.932819 266.229734 
-L 337.014047 266.953351 
-L 337.176503 269.397623 
-L 337.203579 269.227803 
-L 337.393111 265.762753 
-L 337.474339 266.399209 
-L 337.636795 268.537938 
-L 337.663872 268.345074 
-L 337.826328 266.287199 
-L 337.88048 266.545942 
-L 338.01586 268.060712 
-L 338.070012 267.868264 
-L 338.232468 265.942573 
-L 338.28662 266.281774 
-L 338.449076 268.687436 
-L 338.503228 268.470305 
-L 338.665684 266.292996 
-L 338.719837 266.503785 
-L 338.909369 268.846577 
-L 338.963521 268.540829 
-L 339.153053 266.7086 
-L 339.207205 266.889671 
-L 339.342585 267.54374 
-L 339.396737 267.45467 
-L 339.586269 266.774456 
-L 339.613345 266.826285 
-L 339.748725 267.736576 
-L 340.019486 269.456011 
-L 340.154866 269.185235 
-L 340.290246 268.620621 
-L 340.506854 266.111268 
-L 340.588082 266.71438 
-L 340.777614 270.718811 
-L 340.858843 269.96673 
-L 341.075451 265.695563 
-L 341.102527 265.871722 
-L 341.292059 267.746334 
-L 341.346211 267.440281 
-L 341.481591 266.64217 
-L 341.508667 266.709851 
-L 341.698199 267.641093 
-L 341.752351 267.500094 
-L 341.833579 267.27686 
-L 341.887732 267.376372 
-L 342.050188 268.197269 
-L 342.10434 267.987341 
-L 342.348024 265.501819 
-L 342.429252 266.016015 
-L 342.700012 269.784426 
-L 342.78124 269.383069 
-L 342.970773 267.650097 
-L 342.997849 267.72868 
-L 343.160305 268.756457 
-L 343.214457 268.5275 
-L 343.376913 267.203584 
-L 343.431065 267.527893 
-L 343.620597 269.602215 
-L 343.674749 269.241801 
-L 343.864281 267.370568 
-L 343.918433 267.487695 
-L 343.999662 267.712953 
-L 344.053814 267.61115 
-L 344.162118 267.183355 
-L 344.21627 267.356205 
-L 344.378726 269.05176 
-L 344.432878 268.833137 
-L 344.649486 264.579746 
-L 344.730714 265.384184 
-L 344.974398 270.255013 
-L 345.028551 270.054031 
-L 345.461767 267.445293 
-L 345.542995 267.408801 
-L 345.570071 267.436344 
-L 345.894983 268.052309 
-L 345.976211 268.142383 
-L 346.003287 268.099714 
-L 346.19282 267.504974 
-L 346.246972 267.719604 
-L 346.436504 268.967313 
-L 346.46358 268.878435 
-L 346.59896 267.240282 
-L 346.73434 266.13114 
-L 346.761416 266.190246 
-L 347.0051 267.827072 
-L 347.113404 267.575215 
-L 347.221709 267.295402 
-L 347.248785 267.322541 
-L 347.357089 267.881482 
-L 347.546621 268.853551 
-L 347.573697 268.830826 
-L 347.763229 268.153533 
-L 348.033989 267.402286 
-L 348.088141 267.489436 
-L 348.30475 268.688629 
-L 348.385978 268.358741 
-L 348.57551 267.22629 
-L 348.602586 267.2622 
-L 348.71089 267.467723 
-L 348.737966 267.418661 
-L 348.900422 266.495212 
-L 348.954574 266.642157 
-L 349.171182 269.423806 
-L 349.252411 268.769844 
-L 349.414867 266.681491 
-L 349.441943 266.806862 
-L 349.631475 269.495418 
-L 349.712703 268.88915 
-L 349.875159 266.432517 
-L 349.929311 266.754547 
-L 350.145919 269.877913 
-L 350.200071 269.474159 
-L 350.41668 267.378508 
-L 350.443756 267.450876 
-L 350.849896 269.237173 
-L 350.904048 269.108451 
-L 351.039428 267.080634 
-L 351.147732 265.744378 
-L 351.201884 265.90265 
-L 351.418493 268.141291 
-L 351.499721 267.902274 
-L 351.580949 267.684664 
-L 351.635101 267.792423 
-L 351.743405 268.093165 
-L 351.770481 268.039046 
-L 351.932937 267.002867 
-L 352.014165 267.419912 
-L 352.176621 269.355258 
-L 352.230773 269.114722 
-L 352.420306 266.984288 
-L 352.474458 267.457434 
-L 352.636914 269.571448 
-L 352.691066 269.299132 
-L 352.880598 267.064401 
-L 352.93475 267.172859 
-L 353.097206 267.907783 
-L 353.151358 267.791744 
-L 353.259662 267.558067 
-L 353.286738 267.59162 
-L 353.503347 268.112539 
-L 353.557499 268.06833 
-L 353.665803 268.142195 
-L 353.774107 268.274352 
-L 353.801183 268.233725 
-L 353.963639 267.80804 
-L 353.990715 267.874727 
-L 354.153171 268.705835 
-L 354.207323 268.432385 
-L 354.396855 266.00403 
-L 354.478083 266.467852 
-L 354.667616 268.397412 
-L 354.694692 268.31352 
-L 354.802996 267.856108 
-L 354.857148 268.042718 
-L 354.992528 269.114075 
-L 355.04668 268.937117 
-L 355.236212 266.457729 
-L 355.31744 266.931336 
-L 355.479896 268.57315 
-L 355.506972 268.497794 
-L 355.669429 267.599073 
-L 355.696505 267.691359 
-L 355.831885 268.557048 
-L 355.886037 268.384428 
-L 356.075569 266.475868 
-L 356.129721 266.763415 
-L 356.319253 268.751452 
-L 356.373405 268.63018 
-L 356.508785 268.073128 
-L 356.562937 268.193033 
-L 356.671242 268.518415 
-L 356.698318 268.478854 
-L 356.860774 267.604382 
-L 356.942002 267.936518 
-L 357.131534 269.8288 
-L 357.185686 269.582385 
-L 357.42937 267.04479 
-L 357.483522 267.27537 
-L 357.781359 269.42566 
-L 357.835511 269.333486 
-L 357.970891 268.362899 
-L 358.214575 266.131674 
-L 358.241651 266.230409 
-L 358.404107 268.298859 
-L 358.458259 268.699315 
-L 358.512411 268.483104 
-L 358.72902 264.88669 
-L 358.810248 265.651356 
-L 358.99978 268.987735 
-L 359.053932 268.726232 
-L 359.216388 267.18269 
-L 359.27054 267.398634 
-L 359.40592 268.347449 
-L 359.460072 268.218725 
-L 359.595452 267.449119 
-L 359.649604 267.644766 
-L 359.812061 268.908318 
-L 359.866213 268.623028 
-L 360.028669 267.005421 
-L 360.082821 267.308033 
-L 360.245277 269.326087 
-L 360.299429 269.100209 
-L 360.488961 266.444705 
-L 360.570189 267.018065 
-L 360.705569 268.723645 
-L 360.759721 268.509137 
-L 361.003406 264.697526 
-L 361.084634 265.572542 
-L 361.301242 268.927561 
-L 361.355394 268.770727 
-L 361.572002 267.25453 
-L 361.626154 267.449061 
-L 361.761534 268.075123 
-L 361.815686 267.956925 
-L 361.978143 267.234041 
-L 362.005219 267.322637 
-L 362.194751 268.802919 
-L 362.248903 268.490113 
-L 362.465511 265.49638 
-L 362.519663 265.805367 
-L 362.682119 267.586305 
-L 362.736271 267.39855 
-L 362.925803 265.555538 
-L 362.979956 265.691189 
-L 363.115336 266.402093 
-L 363.169488 266.306454 
-L 363.304868 265.823579 
-L 363.331944 265.90798 
-L 363.792236 268.17291 
-L 363.927616 268.760403 
-L 363.981768 268.654259 
-L 364.171301 267.766572 
-L 364.225453 267.891782 
-L 364.333757 268.234735 
-L 364.387909 268.137085 
-L 364.631593 266.788847 
-L 364.712821 266.897045 
-L 365.06481 267.906949 
-L 365.308494 268.866175 
-L 365.389722 268.559814 
-L 365.633406 266.064662 
-L 365.714634 266.459181 
-L 365.904166 268.286417 
-L 365.958318 268.053042 
-L 366.066622 267.374563 
-L 366.120775 267.510338 
-L 366.283231 269.020452 
-L 366.364459 268.605289 
-L 366.526915 266.810863 
-L 366.581067 266.958652 
-L 366.716447 267.744181 
-L 366.743523 267.675644 
-L 366.878903 266.776738 
-L 366.933055 267.015797 
-L 367.149664 270.14706 
-L 367.203816 269.602383 
-L 367.366272 267.109178 
-L 367.420424 267.357986 
-L 367.609956 269.430168 
-L 367.664108 269.236797 
-L 367.799488 268.662507 
-L 367.826564 268.716702 
-L 367.934868 269.002753 
-L 367.961944 268.943092 
-L 368.178552 267.414084 
-L 368.259781 267.805789 
-L 368.368085 268.324402 
-L 368.395161 268.281545 
-L 368.557617 267.511485 
-L 368.611769 267.65179 
-L 368.774225 268.380703 
-L 368.801301 268.306032 
-L 368.963757 267.632523 
-L 368.990833 267.705588 
-L 369.153289 268.414842 
-L 369.180365 268.318342 
-L 369.369898 266.871076 
-L 369.451126 267.225788 
-L 369.586506 268.054537 
-L 369.640658 267.964406 
-L 369.748962 267.648458 
-L 369.776038 267.698367 
-L 369.992646 269.05074 
-L 370.073874 268.664922 
-L 370.209254 267.896671 
-L 370.263406 267.962303 
-L 370.452939 268.475566 
-L 370.480015 268.446834 
-L 370.723699 267.880148 
-L 370.886155 267.277411 
-L 370.940307 267.352783 
-L 371.102763 267.959303 
-L 371.156915 267.777558 
-L 371.346447 266.501411 
-L 371.4006 266.657166 
-L 371.698436 267.926046 
-L 371.80674 268.414662 
-L 371.915044 268.849391 
-L 371.94212 268.788785 
-L 372.0775 267.463857 
-L 372.185804 266.694322 
-L 372.239956 266.791746 
-L 372.402412 267.455798 
-L 372.456565 267.317156 
-L 372.619021 266.695676 
-L 372.646097 266.745293 
-L 372.781477 267.754216 
-L 372.943933 268.825272 
-L 372.971009 268.819607 
-L 373.079313 268.27726 
-L 373.241769 267.501051 
-L 373.268845 267.529998 
-L 373.404225 267.78476 
-L 373.431301 267.71281 
-L 373.593758 266.267272 
-L 373.674986 265.884136 
-L 373.729138 266.021083 
-L 373.999898 266.925893 
-L 374.108202 267.735769 
-L 374.243582 268.926029 
-L 374.270658 268.860477 
-L 374.406038 267.013288 
-L 374.487266 266.293068 
-L 374.541419 266.582145 
-L 374.730951 268.990614 
-L 374.785103 268.800358 
-L 374.974635 267.314489 
-L 375.028787 267.367484 
-L 375.082939 267.416279 
-L 375.110015 267.365541 
-L 375.245395 266.277467 
-L 375.326623 265.953808 
-L 375.353699 266.075772 
-L 375.570307 268.44918 
-L 375.651536 267.984267 
-L 375.786916 266.875184 
-L 375.841068 267.036926 
-L 376.0306 268.501132 
-L 376.084752 268.313612 
-L 376.355512 266.406666 
-L 376.409664 266.540799 
-L 376.57212 267.827088 
-L 376.761653 269.67712 
-L 376.815805 269.539574 
-L 376.978261 267.112958 
-L 377.059489 266.374531 
-L 377.113641 266.573873 
-L 377.303173 268.755608 
-L 377.384401 268.311033 
-L 377.546857 266.610523 
-L 377.601009 266.763419 
-L 377.763466 267.824252 
-L 377.790542 267.737843 
-L 377.980074 266.124432 
-L 378.061302 266.43659 
-L 378.223758 267.515799 
-L 378.27791 267.404959 
-L 378.386214 267.086244 
-L 378.41329 267.125897 
-L 378.656974 268.374703 
-L 378.738203 268.115544 
-L 379.117267 266.454363 
-L 379.144343 266.538654 
-L 379.252647 267.904913 
-L 379.388027 269.575488 
-L 379.442179 269.318234 
-L 379.631711 267.165674 
-L 379.685863 267.454289 
-L 379.821244 268.704582 
-L 379.875396 268.497962 
-L 380.092004 266.018016 
-L 380.146156 266.404487 
-L 380.362764 268.474178 
-L 380.38984 268.41279 
-L 380.6606 266.843863 
-L 380.823056 265.669265 
-L 380.877209 265.865248 
-L 381.039665 268.650366 
-L 381.147969 269.628412 
-L 381.175045 269.514794 
-L 381.472881 266.569278 
-L 381.608261 266.595869 
-L 381.743641 266.424819 
-L 381.770717 266.462396 
-L 381.987326 267.319405 
-L 382.041478 267.156031 
-L 382.312238 265.335027 
-L 382.393466 265.529229 
-L 382.582998 267.028089 
-L 382.718378 267.846305 
-L 382.745454 267.824379 
-L 382.853758 267.123744 
-L 382.962063 266.588623 
-L 382.989139 266.68105 
-L 383.151595 268.70053 
-L 383.205747 269.066417 
-L 383.259899 268.864466 
-L 383.476507 266.07649 
-L 383.557735 266.610974 
-L 383.747267 268.488966 
-L 383.774343 268.444607 
-L 384.397092 266.243144 
-L 384.47832 266.328625 
-L 384.803232 267.457851 
-L 384.88446 267.232038 
-L 385.101069 265.9478 
-L 385.155221 266.083476 
-L 385.371829 267.331988 
-L 385.425981 267.163605 
-L 385.588437 266.396003 
-L 385.615513 266.484953 
-L 385.750893 268.217788 
-L 385.886273 269.751478 
-L 385.940425 269.626293 
-L 386.346566 267.194938 
-L 386.45487 267.083881 
-L 386.481946 267.115562 
-L 386.59025 267.740472 
-L 386.72563 268.577651 
-L 386.752706 268.531365 
-L 386.86101 267.559099 
-L 387.050542 266.27616 
-L 387.212999 266.66564 
-L 387.321303 267.239717 
-L 387.564987 270.008603 
-L 387.619139 269.733378 
-L 387.944051 266.488646 
-L 387.998203 266.533365 
-L 388.106507 266.941965 
-L 388.268964 269.181838 
-L 388.377268 270.152187 
-L 388.404344 270.053806 
-L 388.539724 267.972416 
-L 388.648028 266.852676 
-L 388.70218 267.050705 
-L 388.864636 268.405721 
-L 388.918788 268.264202 
-L 389.189548 265.674491 
-L 389.270777 265.997244 
-L 389.649841 268.17429 
-L 389.812297 268.594139 
-L 389.866449 268.471611 
-L 389.974753 267.21381 
-L 390.137209 265.112957 
-L 390.191361 265.295248 
-L 390.462122 268.301959 
-L 390.54335 268.118747 
-L 390.67873 267.923627 
-L 390.705806 267.942941 
-L 390.841186 267.942615 
-L 390.922414 267.930569 
-L 390.94949 267.979751 
-L 391.166098 268.838645 
-L 391.22025 268.65924 
-L 391.436859 267.321189 
-L 391.491011 267.410702 
-L 391.680543 267.847126 
-L 391.707619 267.82189 
-L 391.842999 267.764036 
-L 391.870075 267.789494 
-L 391.951303 267.805153 
-L 391.978379 267.751858 
-L 392.167911 266.924763 
-L 392.222063 267.094529 
-L 392.465748 269.537235 
-L 392.546976 269.174534 
-L 392.682356 268.417731 
-L 392.709432 268.467554 
-L 392.871888 269.266238 
-L 392.92604 269.052504 
-L 393.115572 267.380256 
-L 393.169724 267.62732 
-L 393.359256 269.381199 
-L 393.413408 269.161034 
-L 393.602941 267.9319 
-L 393.630017 268.002423 
-L 393.765397 268.500364 
-L 393.819549 268.352052 
-L 394.306917 265.997831 
-L 394.361069 266.113687 
-L 394.577678 268.166977 
-L 394.658906 267.626326 
-L 394.76721 266.809754 
-L 394.821362 267.042187 
-L 394.983818 268.780316 
-L 395.03797 268.575687 
-L 395.227502 266.275877 
-L 395.30873 266.667207 
-L 395.44411 267.725109 
-L 395.498262 267.608883 
-L 395.660719 266.836381 
-L 395.714871 266.965176 
-L 395.877327 267.406366 
-L 395.904403 267.377937 
-L 395.985631 267.324413 
-L 396.012707 267.373939 
-L 396.175163 268.36978 
-L 396.310543 268.711861 
-L 396.337619 268.69291 
-L 396.500075 268.426111 
-L 396.74376 267.048856 
-L 396.824988 267.491481 
-L 396.933292 268.093072 
-L 396.960368 268.013789 
-L 397.1499 266.064261 
-L 397.231128 266.757533 
-L 397.393584 269.151878 
-L 397.447736 268.759557 
-L 397.637268 266.107222 
-L 397.69142 266.455143 
-L 397.826801 267.696266 
-L 397.880953 267.441073 
-L 398.070485 265.649935 
-L 398.124637 265.846436 
-L 398.341245 266.580522 
-L 398.395397 266.699284 
-L 398.557853 268.306175 
-L 398.612005 268.581381 
-L 398.666157 268.35269 
-L 398.85569 266.192447 
-L 398.909842 266.381867 
-L 399.26183 269.721738 
-L 399.315982 269.665428 
-L 399.451362 269.122676 
-L 399.776274 267.737659 
-L 399.965807 267.171188 
-L 400.182415 266.646214 
-L 400.209491 266.687143 
-L 400.317795 267.429557 
-L 400.534403 269.551196 
-L 400.561479 269.47725 
-L 401.048848 267.045259 
-L 401.103 267.132911 
-L 401.292532 268.391266 
-L 401.346684 268.135412 
-L 401.536216 266.009525 
-L 401.590368 266.478785 
-L 401.7799 269.859788 
-L 401.834052 269.62762 
-L 402.050661 266.547685 
-L 402.104813 266.814711 
-L 402.321421 268.557927 
-L 402.348497 268.500667 
-L 402.538029 267.288352 
-L 402.700485 266.621563 
-L 402.727561 266.636649 
-L 402.944169 267.235151 
-L 403.052474 267.037652 
-L 403.106626 266.981463 
-L 403.160778 267.06481 
-L 403.296158 267.442995 
-L 403.35031 267.334068 
-L 403.512766 266.646852 
-L 403.539842 266.724175 
-L 403.729374 268.307906 
-L 403.810602 267.770658 
-L 404.000134 264.866385 
-L 404.054287 265.088884 
-L 404.297971 268.945574 
-L 404.379199 268.356364 
-L 404.595807 265.720802 
-L 404.622883 265.784862 
-L 404.812415 267.590439 
-L 405.218556 270.048344 
-L 405.245632 270.004802 
-L 405.353936 268.869814 
-L 405.543468 267.185885 
-L 405.570544 267.247952 
-L 406.030836 268.704954 
-L 406.084988 268.537115 
-L 406.274521 267.224576 
-L 406.328673 267.477362 
-L 406.491129 268.741682 
-L 406.545281 268.469224 
-L 406.734813 266.621473 
-L 406.788965 266.854354 
-L 406.951421 267.893952 
-L 406.978497 267.787338 
-L 407.140953 266.535013 
-L 407.195106 266.708242 
-L 407.384638 268.545603 
-L 407.43879 268.2822 
-L 407.628322 266.351274 
-L 407.682474 266.760116 
-L 407.872006 269.569797 
-L 407.926158 269.372366 
-L 408.142766 266.482523 
-L 408.196918 266.828941 
-L 408.386451 269.127621 
-L 408.440603 268.889965 
-L 408.603059 267.439165 
-L 408.657211 267.635376 
-L 408.819667 268.990102 
-L 408.873819 268.768904 
-L 409.063351 266.808596 
-L 409.117503 266.961243 
-L 409.307036 268.312217 
-L 409.361188 268.152624 
-L 409.469492 267.752036 
-L 409.496568 267.812292 
-L 409.631948 269.212008 
-L 409.713176 269.829753 
-L 409.767328 269.641073 
-L 409.983936 266.99584 
-L 410.065164 267.586595 
-L 410.254696 269.924533 
-L 410.281772 269.817079 
-L 410.444229 267.251514 
-L 410.552533 266.474995 
-L 410.579609 266.578517 
-L 410.742065 267.728105 
-L 410.796217 267.609368 
-L 410.985749 266.199692 
-L 411.066977 266.513521 
-L 411.337737 268.241789 
-L 411.364813 268.228206 
-L 411.608498 267.918411 
-L 412.06879 266.4454 
-L 412.150018 266.573562 
-L 412.285398 267.646064 
-L 412.447855 268.696262 
-L 412.474931 268.668491 
-L 412.637387 268.226581 
-L 412.691539 268.351102 
-L 412.799843 268.689004 
-L 412.826919 268.632479 
-L 412.935223 267.353975 
-L 413.097679 265.130662 
-L 413.124755 265.253026 
-L 413.260135 268.032122 
-L 413.368439 269.668969 
-L 413.422591 269.370121 
-L 413.612124 266.627219 
-L 413.666276 266.808364 
-L 413.801656 268.00848 
-L 413.855808 267.869245 
-L 414.04534 266.147045 
-L 414.099492 266.531261 
-L 414.261948 268.181386 
-L 414.3161 267.886676 
-L 414.45148 266.598053 
-L 414.505632 266.820859 
-L 414.695165 269.240101 
-L 414.749317 268.927894 
-L 414.938849 266.419202 
-L 414.993001 266.637694 
-L 415.236685 268.722837 
-L 415.290837 268.630208 
-L 415.507445 267.946491 
-L 415.696978 266.69221 
-L 415.724054 266.797714 
-L 415.940662 269.203834 
-L 416.02189 268.683249 
-L 416.211422 266.368015 
-L 416.265574 266.501534 
-L 416.509258 267.962798 
-L 416.56341 267.891679 
-L 416.644638 267.818982 
-L 416.671715 267.842448 
-L 416.807095 268.298725 
-L 417.023703 269.040447 
-L 417.050779 269.00882 
-L 417.159083 268.281943 
-L 417.348615 266.35976 
-L 417.402767 266.474522 
-L 417.673527 268.85392 
-L 417.754756 268.541646 
-L 417.917212 268.092796 
-L 417.944288 268.111184 
-L 418.052592 268.131325 
-L 418.079668 268.096572 
-L 418.187972 267.981226 
-L 418.215048 268.011082 
-L 418.40458 268.53299 
-L 418.458732 268.349617 
-L 418.702416 266.945251 
-L 418.756568 266.998239 
-L 418.810721 266.987619 
-L 418.919025 266.392098 
-L 419.027329 265.831444 
-L 419.054405 265.897088 
-L 419.189785 267.46974 
-L 419.325165 268.424023 
-L 419.352241 268.366087 
-L 419.460545 268.093188 
-L 419.487621 268.150292 
-L 419.623001 268.871527 
-L 419.677153 268.73088 
-L 419.866686 266.375142 
-L 419.947914 267.029417 
-L 420.11037 269.684704 
-L 420.164522 269.278796 
-L 420.354054 265.771683 
-L 420.435282 266.244282 
-L 420.543586 267.288437 
-L 420.597738 267.080631 
-L 420.760194 265.368808 
-L 420.814346 265.704256 
-L 421.003879 267.960079 
-L 421.058031 267.567137 
-L 421.220487 266.157282 
-L 421.247563 266.286661 
-L 421.437095 267.791493 
-L 421.491247 267.594608 
-L 421.599551 267.059939 
-L 421.653703 267.150014 
-L 421.843235 268.031932 
-L 421.897387 267.904068 
-L 421.978616 267.723953 
-L 422.032768 267.83175 
-L 422.168148 268.290003 
-L 422.195224 268.187935 
-L 422.35768 266.09831 
-L 422.411832 265.713381 
-L 422.465984 265.900433 
-L 422.682592 268.265519 
-L 422.736744 268.003489 
-L 422.8992 266.93236 
-L 422.953352 267.044954 
-L 423.034581 267.292329 
-L 423.088733 267.206622 
-L 423.251189 266.27056 
-L 423.305341 266.52449 
-L 423.521949 269.479484 
-L 423.603177 268.898694 
-L 423.792709 266.371956 
-L 423.846861 266.617491 
-L 424.06347 268.643063 
-L 424.117622 268.333904 
-L 424.388382 265.867083 
-L 424.442534 266.048878 
-L 424.713294 268.53525 
-L 424.821598 267.983875 
-L 425.01113 266.499586 
-L 425.038206 266.544485 
-L 425.200663 267.122184 
-L 425.254815 266.962401 
-L 425.390195 266.378331 
-L 425.417271 266.431536 
-L 425.552651 267.65111 
-L 425.633879 268.134301 
-L 425.688031 267.983163 
-L 425.850487 267.036667 
-L 425.877563 267.151282 
-L 426.094171 269.333654 
-L 426.1754 268.71421 
-L 426.337856 267.048607 
-L 426.364932 267.10161 
-L 426.58154 268.793342 
-L 426.662768 268.473745 
-L 426.825224 267.610887 
-L 426.879376 267.671308 
-L 427.014756 267.956267 
-L 427.068908 267.87858 
-L 427.556277 266.384406 
-L 427.610429 266.425433 
-L 427.854113 267.144221 
-L 428.016569 267.888717 
-L 428.233177 269.215745 
-L 428.260254 269.183432 
-L 428.368558 268.529092 
-L 428.612242 267.211458 
-L 428.801774 267.160068 
-L 428.937154 267.371061 
-L 429.207914 268.264876 
-L 429.343295 268.843081 
-L 429.397447 268.721706 
-L 429.614055 266.821381 
-L 429.695283 267.143027 
-L 429.830663 268.259942 
-L 429.884815 268.113408 
-L 430.074347 266.3283 
-L 430.128499 266.729711 
-L 430.345107 269.860047 
-L 430.39926 269.595405 
-L 430.642944 267.652311 
-L 430.67002 267.661257 
-L 430.859552 267.862617 
-L 430.994932 268.926617 
-L 431.103236 269.534236 
-L 431.130312 269.444756 
-L 431.265692 267.648006 
-L 431.482301 265.843543 
-L 431.590605 266.193851 
-L 431.861365 268.290161 
-L 431.942593 267.805782 
-L 432.105049 266.230102 
-L 432.159201 266.373612 
-L 432.348733 267.74786 
-L 432.402885 267.651465 
-L 432.484114 267.455887 
-L 432.51119 267.498526 
-L 432.619494 268.372755 
-L 432.727798 268.989069 
-L 432.754874 268.855997 
-L 432.998558 265.933715 
-L 433.079786 266.698321 
-L 433.350546 270.187424 
-L 433.377622 270.132726 
-L 433.485926 268.939742 
-L 433.702535 265.901098 
-L 433.729611 265.994305 
-L 433.946219 267.934674 
-L 434.000371 267.598303 
-L 434.162827 266.280694 
-L 434.189903 266.348492 
-L 434.731424 269.00351 
-L 434.785576 268.871265 
-L 435.02926 266.815865 
-L 435.083412 267.110478 
-L 435.245868 268.467198 
-L 435.30002 268.321614 
-L 435.543704 265.608505 
-L 435.624933 266.111844 
-L 435.814465 268.22706 
-L 435.868617 268.07454 
-L 436.031073 266.983401 
-L 436.085225 267.206324 
-L 436.274757 268.870778 
-L 436.328909 268.729202 
-L 436.789202 265.91582 
-L 436.816278 265.921133 
-L 436.897506 266.629089 
-L 437.059962 268.589691 
-L 437.114114 268.323512 
-L 437.249494 267.006258 
-L 437.303646 267.32311 
-L 437.493178 270.274883 
-L 437.54733 269.767378 
-L 437.709786 266.684863 
-L 437.763939 266.927774 
-L 437.953471 269.947509 
-L 438.007623 269.492167 
-L 438.143003 267.647269 
-L 438.197155 267.987836 
-L 438.386687 270.953073 
-L 438.413763 270.707536 
-L 438.630371 265.983898 
-L 438.711599 266.644564 
-L 438.874056 268.55392 
-L 438.901132 268.412691 
-L 439.063588 266.816432 
-L 439.11774 267.033096 
-L 439.307272 269.045009 
-L 439.361424 268.721488 
-L 439.550956 266.427967 
-L 439.605108 266.700735 
-L 439.79464 269.050432 
-L 439.848793 268.762618 
-L 440.092477 264.818815 
-L 440.200781 265.405003 
-L 440.444465 266.754049 
-L 440.579845 268.051927 
-L 440.742301 269.459281 
-L 440.769377 269.395895 
-L 441.148442 266.810755 
-L 441.310898 265.362006 
-L 441.337974 265.475536 
-L 441.446278 267.325692 
-L 441.608734 269.876955 
-L 441.63581 269.793322 
-L 441.852418 267.599689 
-L 441.933646 267.974812 
-L 442.041951 268.550439 
-L 442.096103 268.402011 
-L 442.312711 267.11873 
-L 442.366863 267.267191 
-L 442.448091 267.474749 
-L 442.502243 267.347506 
-L 442.691775 265.987155 
-L 442.773003 266.298029 
-L 442.989611 268.237215 
-L 443.043764 268.08324 
-L 443.260372 267.048046 
-L 443.287448 267.087936 
-L 443.422828 267.287788 
-L 443.449904 267.235815 
-L 443.639436 266.525135 
-L 443.693588 266.610318 
-L 443.88312 267.359199 
-L 443.937272 267.202311 
-L 444.126805 266.156274 
-L 444.180957 266.306603 
-L 444.424641 267.98732 
-L 444.505869 267.849099 
-L 444.587097 267.707771 
-L 444.614173 267.738448 
-L 444.749553 268.460308 
-L 444.830781 268.727857 
-L 444.857857 268.679364 
-L 444.993237 267.516363 
-L 445.128618 266.741083 
-L 445.155694 266.80922 
-L 445.345226 267.788649 
-L 445.399378 267.680669 
-L 445.58891 266.850086 
-L 445.643062 266.981613 
-L 445.832594 267.751053 
-L 445.886746 267.660713 
-L 446.319963 265.777564 
-L 446.455343 265.136046 
-L 446.482419 265.174507 
-L 446.590723 265.970155 
-L 446.888559 268.128347 
-L 446.996863 268.193366 
-L 447.132243 268.836606 
-L 447.240548 269.23796 
-L 447.267624 269.181443 
-L 447.375928 268.171815 
-L 447.538384 266.602911 
-L 447.56546 266.668979 
-L 447.70084 268.214911 
-L 447.782068 268.849186 
-L 447.83622 268.646276 
-L 448.079904 265.723069 
-L 448.134056 266.041871 
-L 448.350665 267.947971 
-L 448.377741 267.857258 
-L 448.594349 266.624085 
-L 448.648501 266.796644 
-L 448.973413 268.105377 
-L 449.135869 268.271519 
-L 449.162945 268.244628 
-L 449.271249 267.792467 
-L 449.433706 266.989863 
-L 449.487858 267.047856 
-L 449.704466 267.783837 
-L 449.785694 267.717125 
-L 449.866922 267.734019 
-L 450.056454 268.173955 
-L 450.08353 268.111892 
-L 450.300138 267.064673 
-L 450.381367 267.296708 
-L 450.489671 267.634151 
-L 450.543823 267.539519 
-L 450.679203 267.119121 
-L 450.706279 267.163152 
-L 450.868735 267.949183 
-L 450.922887 267.753339 
-L 451.139495 265.502307 
-L 451.193647 265.903176 
-L 451.383179 268.075586 
-L 451.410255 267.933252 
-L 451.65394 264.981022 
-L 451.735168 265.558617 
-L 451.978852 267.417625 
-L 452.06008 267.220029 
-L 452.303764 266.215563 
-L 452.33084 266.274175 
-L 452.574525 267.531565 
-L 452.682829 267.378768 
-L 452.764057 267.327539 
-L 452.791133 267.358917 
-L 452.899437 267.491121 
-L 452.926513 267.461693 
-L 453.143121 266.739036 
-L 453.224349 266.935399 
-L 453.305577 267.109401 
-L 453.332653 267.079533 
-L 453.522185 266.319969 
-L 453.576338 266.550892 
-L 453.76587 268.060337 
-L 453.820022 267.917756 
-L 454.009554 266.936943 
-L 454.063706 267.018781 
-L 454.117858 267.094675 
-L 454.17201 266.99463 
-L 454.334466 266.13015 
-L 454.388618 266.326243 
-L 454.57815 268.310118 
-L 454.632303 268.083242 
-L 454.848911 265.285768 
-L 454.903063 265.622352 
-L 455.146747 268.699183 
-L 455.200899 268.482874 
-L 455.336279 267.706136 
-L 455.390431 267.852854 
-L 455.579963 269.457843 
-L 455.661192 269.058999 
-L 455.8778 266.627201 
-L 455.931952 266.942357 
-L 456.14856 268.83723 
-L 456.175636 268.767094 
-L 456.446396 267.026969 
-L 456.635928 265.268379 
-L 456.690081 265.4396 
-L 456.906689 267.661023 
-L 456.960841 267.329469 
-L 457.069145 266.535781 
-L 457.096221 266.626352 
-L 457.204525 268.632109 
-L 457.339905 271.106864 
-L 457.394057 270.76802 
-L 457.610665 267.055205 
-L 457.691893 267.387159 
-L 457.962654 269.012845 
-L 458.043882 268.995974 
-L 458.206338 268.522104 
-L 458.26049 268.676967 
-L 458.450022 270.787993 
-L 458.53125 270.073966 
-L 458.747858 265.443114 
-L 458.802011 266.070773 
-L 458.964467 268.954662 
-L 459.018619 268.634443 
-L 459.181075 266.417181 
-L 459.235227 266.653314 
-L 459.397683 268.153829 
-L 459.451835 267.859095 
-L 459.560139 267.068777 
-L 459.614291 267.350739 
-L 459.803823 269.878689 
-L 459.857976 269.433546 
-L 460.047508 266.481703 
-L 460.10166 266.661747 
-L 460.23704 267.532987 
-L 460.264116 267.443771 
-L 460.426572 266.227362 
-L 460.480724 266.641423 
-L 460.670256 269.908182 
-L 460.751484 269.273366 
-L 460.941017 265.890759 
-L 460.995169 266.099143 
-L 461.211777 268.739027 
-L 461.293005 268.350321 
-L 461.482537 267.148292 
-L 461.509613 267.207281 
-L 461.726221 268.07911 
-L 461.807449 267.966876 
-L 461.915753 267.802607 
-L 461.942829 267.824495 
-L 462.07821 268.344105 
-L 462.267742 268.91041 
-L 462.294818 268.89347 
-L 462.403122 268.614285 
-L 462.592654 267.376625 
-L 462.782186 266.383339 
-L 462.809262 266.44326 
-L 462.971718 267.62807 
-L 463.080023 268.064111 
-L 463.107099 268.025774 
-L 463.242479 267.236867 
-L 463.432011 266.526891 
-L 463.540315 266.676819 
-L 463.756923 267.57579 
-L 463.892303 267.932984 
-L 463.919379 267.91453 
-L 464.108912 267.626452 
-L 464.135988 267.6734 
-L 464.32552 268.212939 
-L 464.379672 268.09949 
-L 464.59628 267.178283 
-L 464.650432 267.233856 
-L 464.812888 267.518988 
-L 464.86704 267.467076 
-L 465.00242 267.371919 
-L 465.029496 267.396103 
-L 465.110724 267.429058 
-L 465.137801 267.377671 
-L 465.246105 266.643931 
-L 465.381485 265.607542 
-L 465.435637 265.780286 
-L 465.625169 267.912218 
-L 465.706397 267.395498 
-L 465.895929 264.462349 
-L 465.950081 264.918019 
-L 466.166689 269.513527 
-L 466.247918 268.943634 
-L 466.43745 266.283764 
-L 466.491602 266.460283 
-L 466.654058 267.439434 
-L 466.70821 267.359026 
-L 466.789438 267.196058 
-L 466.816514 267.23185 
-L 466.951894 268.178433 
-L 467.033122 268.530489 
-L 467.087274 268.354706 
-L 467.222655 267.481394 
-L 467.276807 267.595864 
-L 467.493415 269.56943 
-L 467.547567 269.277014 
-L 467.791251 266.849923 
-L 467.845403 267.072038 
-L 468.034935 268.125435 
-L 468.089087 268.002942 
-L 468.332772 266.408024 
-L 468.414 266.644404 
-L 468.657684 268.461243 
-L 468.711836 268.302974 
-L 468.874292 267.597719 
-L 468.928444 267.70937 
-L 469.145052 268.578908 
-L 469.199204 268.472506 
-L 469.551193 266.882975 
-L 469.794877 265.503094 
-L 469.849029 265.598451 
-L 469.984409 266.978262 
-L 470.146865 268.693297 
-L 470.201017 268.568112 
-L 470.417626 266.56861 
-L 470.498854 266.944911 
-L 470.688386 268.460894 
-L 470.715462 268.367163 
-L 470.877918 266.369858 
-L 470.986222 265.686856 
-L 471.013298 265.792765 
-L 471.256982 268.267029 
-L 471.33821 267.661074 
-L 471.473591 266.316841 
-L 471.527743 266.551472 
-L 471.717275 269.007262 
-L 471.771427 268.716056 
-L 471.960959 265.969074 
-L 472.015111 266.228411 
-L 472.204643 268.419048 
-L 472.258795 268.150897 
-L 472.394175 267.05955 
-L 472.448327 267.182807 
-L 472.610784 268.1796 
-L 472.664936 267.959908 
-L 472.827392 267.000905 
-L 472.854468 267.083214 
-L 473.071076 268.451028 
-L 473.152304 268.330396 
-L 473.45014 267.576955 
-L 473.639673 266.539577 
-L 473.666749 266.566863 
-L 473.747977 266.623972 
-L 473.775053 266.563849 
-L 473.937509 265.668171 
-L 473.991661 265.834597 
-L 474.235345 268.910449 
-L 474.316573 268.254178 
-L 474.479029 266.726724 
-L 474.506105 266.758138 
-L 474.668562 267.300957 
-L 474.722714 267.149409 
-L 474.858094 266.738117 
-L 474.88517 266.792256 
-L 475.074702 267.576787 
-L 475.15593 267.456686 
-L 475.237158 267.329872 
-L 475.29131 267.416429 
-L 475.42669 267.84473 
-L 475.480842 267.758926 
-L 475.670375 266.828555 
-L 475.724527 267.03536 
-L 475.941135 268.807141 
-L 475.995287 268.560488 
-L 476.211895 266.425647 
-L 476.266047 266.574401 
-L 476.455579 268.047339 
-L 476.509731 267.925925 
-L 476.672187 266.836214 
-L 476.72634 266.957687 
-L 476.942948 268.597834 
-L 476.9971 268.299417 
-L 477.213708 266.630907 
-L 477.26786 266.655218 
-L 477.322012 266.662367 
-L 477.349088 266.615889 
-L 477.484468 266.111729 
-L 477.53862 266.228259 
-L 477.674 268.077198 
-L 477.782305 269.244782 
-L 477.836457 269.070092 
-L 478.025989 267.308981 
-L 478.080141 267.462557 
-L 478.215521 268.090802 
-L 478.242597 268.007258 
-L 478.432129 266.609096 
-L 478.486281 266.873418 
-L 478.675813 268.568013 
-L 478.729965 268.333615 
-L 478.865346 267.582597 
-L 478.892422 267.686409 
-L 479.10903 269.715175 
-L 479.163182 269.42495 
-L 479.325638 268.173642 
-L 479.37979 268.354273 
-L 479.51517 268.963888 
-L 479.542246 268.88158 
-L 479.704702 267.814038 
-L 479.78593 268.099813 
-L 479.894235 268.591651 
-L 479.921311 268.469513 
-L 480.110843 265.930114 
-L 480.192071 266.56599 
-L 480.381603 270.054803 
-L 480.435755 269.744582 
-L 480.625287 267.753869 
-L 480.652363 267.859063 
-L 480.760667 268.427034 
-L 480.814819 268.201487 
-L 481.004352 266.175424 
-L 481.058504 266.444481 
-L 481.22096 267.934571 
-L 481.275112 267.788471 
-L 481.410492 266.996363 
-L 481.464644 267.087309 
-L 481.6271 267.742924 
-L 481.654176 267.688852 
-L 481.924936 267.098087 
-L 482.033241 266.495426 
-L 482.141545 265.91661 
-L 482.168621 266.000915 
-L 482.385229 268.289193 
-L 482.493533 267.680513 
-L 482.547685 267.44608 
-L 482.574761 267.50762 
-L 482.710141 269.284262 
-L 482.764293 269.686342 
-L 482.818445 269.315322 
-L 483.007977 266.352046 
-L 483.035054 266.605105 
-L 483.224586 270.147196 
-L 483.278738 269.442185 
-L 483.46827 264.671469 
-L 483.522422 264.984699 
-L 483.711954 267.895708 
-L 483.766106 267.654973 
-L 483.901486 266.604638 
-L 483.955638 266.742064 
-L 484.199323 268.300214 
-L 484.253475 268.254641 
-L 484.388855 267.741631 
-L 484.578387 266.731116 
-L 484.632539 266.886694 
-L 484.794995 267.751804 
-L 484.849147 267.533796 
-L 485.011603 266.492957 
-L 485.038679 266.604939 
-L 485.255288 268.619477 
-L 485.30944 268.303068 
-L 485.471896 267.114618 
-L 485.498972 267.179786 
-L 485.634352 267.769026 
-L 485.688504 267.556195 
-L 485.85096 266.477133 
-L 485.878036 266.616289 
-L 486.094644 269.045669 
-L 486.148796 268.54659 
-L 486.365405 265.385629 
-L 486.419557 265.577175 
-L 486.961077 269.993853 
-L 487.015229 269.744897 
-L 487.313066 266.817325 
-L 487.367218 267.016599 
-L 487.637978 269.685962 
-L 487.719206 269.30612 
-L 487.935814 266.846713 
-L 487.989966 267.174152 
-L 488.152422 268.607941 
-L 488.179498 268.496968 
-L 488.369031 266.656037 
-L 488.423183 267.187208 
-L 488.612715 270.686555 
-L 488.666867 270.37147 
-L 488.856399 267.29543 
-L 488.910551 267.571875 
-L 489.073007 269.531334 
-L 489.127159 269.244389 
-L 489.343768 266.54104 
-L 489.39792 266.865551 
-L 489.5333 268.025404 
-L 489.587452 267.900575 
-L 489.831136 265.686864 
-L 489.885288 266.008491 
-L 490.128972 268.357266 
-L 490.183124 268.195652 
-L 490.291428 267.739541 
-L 490.34558 267.905092 
-L 490.562189 270.171183 
-L 490.616341 269.826311 
-L 490.860025 266.167418 
-L 490.941253 266.356392 
-L 491.022481 266.576259 
-L 491.076633 266.463139 
-L 491.184937 266.163011 
-L 491.212013 266.254831 
-L 491.347393 268.075232 
-L 491.455698 269.178948 
-L 491.50985 268.917395 
-L 491.699382 266.764673 
-L 491.753534 267.052339 
-L 492.024294 270.837037 
-L 492.105522 270.302247 
-L 492.295054 268.59443 
-L 492.32213 268.642443 
-L 492.484586 269.480893 
-L 492.538739 269.246181 
-L 492.728271 267.39 
-L 492.782423 267.760082 
-L 492.944879 269.959457 
-L 492.999031 269.697428 
-L 493.215639 266.185113 
-L 493.269791 266.620901 
-L 493.459323 269.256161 
-L 493.513475 269.133054 
-L 493.675932 268.386422 
-L 493.703008 268.446016 
-L 493.838388 268.83597 
-L 493.865464 268.784268 
-L 494.02792 267.63292 
-L 494.244528 266.773351 
-L 494.325756 266.94673 
-L 494.542364 268.029951 
-L 494.596516 267.881557 
-L 494.731897 267.394056 
-L 494.758973 267.443823 
-L 494.894353 268.062726 
-L 494.948505 267.944408 
-L 495.110961 266.504899 
-L 495.165113 266.723441 
-L 495.381721 269.973734 
-L 495.435873 269.51167 
-L 495.598329 267.150349 
-L 495.652481 267.383938 
-L 495.814938 269.114779 
-L 495.86909 268.825802 
-L 496.058622 266.831009 
-L 496.112774 266.975321 
-L 496.248154 267.486064 
-L 496.27523 267.441996 
-L 496.383534 267.17986 
-L 496.41061 267.229425 
-L 496.54599 268.365443 
-L 496.627218 268.790191 
-L 496.68137 268.581757 
-L 496.870903 266.990178 
-L 496.925055 267.094462 
-L 497.168739 268.397464 
-L 497.222891 268.30917 
-L 497.439499 267.794814 
-L 497.466575 267.837303 
-L 497.656107 268.349738 
-L 497.683183 268.276687 
-L 497.899792 266.800891 
-L 497.98102 267.27935 
-L 498.143476 268.710661 
-L 498.197628 268.529749 
-L 498.360084 267.552713 
-L 498.38716 267.626255 
-L 498.549616 268.498474 
-L 498.603768 268.258892 
-L 498.766224 267.118906 
-L 498.7933 267.221404 
-L 498.982833 268.990188 
-L 499.064061 268.508114 
-L 499.199441 267.232633 
-L 499.253593 267.411783 
-L 499.470201 269.501121 
-L 499.524353 269.243503 
-L 499.822189 267.386092 
-L 500.065874 267.058246 
-L 500.201254 266.688016 
-L 500.417862 265.595274 
-L 500.472014 265.798969 
-L 500.742774 268.178993 
-L 500.824002 267.813729 
-L 500.986459 267.037953 
-L 501.013535 267.094951 
-L 501.446751 269.076433 
-L 501.527979 268.811337 
-L 501.744587 266.307599 
-L 501.825815 266.868608 
-L 502.015348 269.994052 
-L 502.0695 269.686289 
-L 502.259032 266.756508 
-L 502.313184 267.002437 
-L 502.502716 269.363289 
-L 502.556868 269.075316 
-L 502.773476 266.508658 
-L 502.854704 266.781338 
-L 503.098389 268.31755 
-L 503.125465 268.279687 
-L 503.260845 267.502647 
-L 503.342073 267.185363 
-L 503.396225 267.351525 
-L 503.612833 269.276609 
-L 503.694061 268.856243 
-L 503.856517 267.611293 
-L 503.910669 267.686438 
-L 504.018973 267.981094 
-L 504.073125 267.870663 
-L 504.208506 267.350475 
-L 504.262658 267.50261 
-L 504.45219 268.544902 
-L 504.506342 268.358396 
-L 504.614646 267.999585 
-L 504.641722 268.072081 
-L 504.804178 269.207448 
-L 504.85833 269.04673 
-L 505.047862 266.93219 
-L 505.12909 267.342928 
-L 505.264471 268.571665 
-L 505.318623 268.406736 
-L 505.508155 266.94267 
-L 505.562307 267.043877 
-L 505.643535 267.190397 
-L 505.670611 267.121138 
-L 505.860143 265.971365 
-L 505.914295 266.325856 
-L 506.076751 268.064942 
-L 506.130903 267.8801 
-L 506.29336 266.542059 
-L 506.347512 266.843768 
-L 506.509968 268.18878 
-L 506.537044 268.043863 
-L 506.726576 266.031644 
-L 506.780728 266.333421 
-L 506.943184 267.723523 
-L 506.97026 267.583794 
-L 507.132716 265.814951 
-L 507.186868 266.008307 
-L 507.403477 268.971399 
-L 507.484705 268.444055 
-L 507.620085 267.309799 
-L 507.674237 267.504341 
-L 507.890845 269.104819 
-L 507.944997 268.90037 
-L 508.269909 266.932229 
-L 508.296985 266.986207 
-L 508.459442 268.003721 
-L 508.892658 270.565371 
-L 508.919734 270.453372 
-L 509.028038 268.5431 
-L 509.163418 266.10623 
-L 509.21757 266.323188 
-L 509.407103 269.096646 
-L 509.488331 268.58529 
-L 509.623711 267.320651 
-L 509.650787 267.388065 
-L 509.813243 268.725636 
-L 509.867395 268.534337 
-L 510.056927 266.714921 
-L 510.111079 267.008322 
-L 510.273535 268.347042 
-L 510.327687 268.151548 
-L 510.490144 267.121234 
-L 510.544296 267.204413 
-L 510.706752 267.660122 
-L 510.760904 267.606829 
-L 510.869208 267.566956 
-L 510.896284 267.593582 
-L 510.950436 267.616968 
-L 510.977512 267.580687 
-L 511.112892 266.818515 
-L 511.167044 266.621551 
-L 511.221196 266.824581 
-L 511.437804 269.210739 
-L 511.491957 268.736311 
-L 511.681489 266.375619 
-L 511.708565 266.492269 
-L 511.871021 267.762221 
-L 511.925173 267.47896 
-L 512.060553 266.373692 
-L 512.114705 266.675774 
-L 512.304237 269.019244 
-L 512.358389 268.65656 
-L 512.574998 266.053092 
-L 512.62915 266.271196 
-L 513.03529 268.755578 
-L 513.062366 268.673091 
-L 513.17067 267.369978 
-L 513.30605 265.887615 
-L 513.333126 265.97097 
-L 513.468506 267.933012 
-L 513.603887 269.035521 
-L 513.630963 268.972385 
-L 513.874647 268.407591 
-L 513.955875 268.13354 
-L 514.091255 267.431903 
-L 514.118331 267.498287 
-L 514.226635 268.901822 
-L 514.362015 270.64439 
-L 514.389091 270.543234 
-L 514.497395 268.534754 
-L 514.632776 266.198938 
-L 514.686928 266.388523 
-L 514.87646 268.466106 
-L 514.930612 268.148711 
-L 515.120144 266.348963 
-L 515.14722 266.467861 
-L 515.390904 268.574015 
-L 515.445056 268.382597 
-L 515.580436 267.938293 
-L 515.607512 267.985563 
-L 515.986577 268.890244 
-L 516.067805 268.928965 
-L 516.094881 268.856721 
-L 516.203185 267.890356 
-L 516.365641 266.301558 
-L 516.392717 266.366371 
-L 516.528097 267.996709 
-L 516.636401 268.827853 
-L 516.663477 268.774175 
-L 516.825934 267.877544 
-L 516.880086 268.11274 
-L 517.042542 269.581984 
-L 517.096694 269.300619 
-L 517.313302 265.840801 
-L 517.39453 266.63612 
-L 517.556986 269.456887 
-L 517.611138 269.214802 
-L 517.800671 266.124489 
-L 517.881899 266.703376 
-L 518.044355 269.151672 
-L 518.098507 268.954247 
-L 518.369267 265.777352 
-L 518.450495 265.941036 
-L 518.585875 266.537289 
-L 518.775407 269.297264 
-L 518.856636 269.775562 
-L 518.883712 269.606626 
-L 519.10032 266.153818 
-L 519.181548 266.71299 
-L 519.37108 269.286703 
-L 519.425232 269.059956 
-L 519.668916 266.920347 
-L 519.723068 267.056914 
-L 519.966753 268.129981 
-L 520.020905 268.026497 
-L 520.237513 267.16392 
-L 520.291665 267.297127 
-L 520.427045 267.797458 
-L 520.481197 267.658013 
-L 520.751957 265.358208 
-L 520.833185 265.684227 
-L 521.087875 268.47295 
-L 521.087875 268.47295 
-" clip-path="url(#p2dc09b3a07)" style="fill: none; stroke: #ffa500; stroke-linecap: square"/>
+    <path d="M -1 266.560857 
+L -0.993429 266.528939 
+L -0.939277 266.718503 
+L -0.722669 268.680017 
+L -0.668517 268.501652 
+L -0.478985 267.667231 
+L -0.451909 267.715291 
+L -0.289453 268.176731 
+L -0.235301 268.064457 
+L 0.224992 266.359445 
+L 0.30622 266.523618 
+L 0.4416 267.731578 
+L 0.631132 269.450474 
+L 0.658208 269.393565 
+L 0.793588 268.055069 
+L 0.956044 266.85224 
+L 0.98312 266.873017 
+L 1.145577 267.589321 
+L 1.443413 269.240143 
+L 1.551717 269.800079 
+L 1.605869 269.672066 
+L 1.849553 267.903432 
+L 1.930781 268.237312 
+L 2.039085 268.61594 
+L 2.066161 268.542487 
+L 2.28277 266.873729 
+L 2.363998 267.149113 
+L 2.526454 268.06882 
+L 2.55353 268.022199 
+L 2.82429 266.650258 
+L 2.905518 266.916999 
+L 3.176278 268.718241 
+L 3.257507 268.395471 
+L 3.419963 267.417269 
+L 3.447039 267.523059 
+L 3.636571 269.396382 
+L 3.717799 268.91414 
+L 3.907331 266.623272 
+L 3.961483 266.88766 
+L 4.232243 268.694304 
+L 4.313472 268.938917 
+L 4.448852 269.489587 
+L 4.475928 269.373718 
+L 4.611308 267.21455 
+L 4.719612 265.799188 
+L 4.773764 265.957677 
+L 5.017448 268.379047 
+L 5.098676 268.252993 
+L 5.152828 268.266531 
+L 5.288208 269.031863 
+L 5.369437 269.340576 
+L 5.423589 269.239755 
+L 5.721425 267.759767 
+L 5.775577 267.858978 
+L 5.938033 268.358226 
+L 5.992185 268.23811 
+L 6.154641 266.578981 
+L 6.235869 266.041337 
+L 6.290021 266.17713 
+L 6.50663 267.897584 
+L 6.587858 267.7122 
+L 6.696162 267.494717 
+L 6.723238 267.53783 
+L 6.831542 267.78867 
+L 6.885694 267.709553 
+L 7.021074 267.169041 
+L 7.075226 267.343721 
+L 7.291834 269.643647 
+L 7.373062 269.010394 
+L 7.562595 266.761306 
+L 7.589671 266.825717 
+L 7.779203 268.158471 
+L 7.833355 267.979181 
+L 8.022887 266.456255 
+L 8.077039 266.615963 
+L 8.347799 269.601264 
+L 8.429027 268.974114 
+L 8.61856 267.234623 
+L 8.645636 267.295157 
+L 8.781016 267.829495 
+L 8.835168 267.637051 
+L 9.0247 266.36621 
+L 9.051776 266.466821 
+L 9.268384 267.898809 
+L 9.322536 267.746454 
+L 9.403764 267.588156 
+L 9.43084 267.657252 
+L 9.593297 268.745058 
+L 9.674525 268.371822 
+L 9.864057 266.29384 
+L 9.918209 266.492269 
+L 10.080665 267.587025 
+L 10.134817 267.48778 
+L 10.216045 267.260752 
+L 10.270197 267.394429 
+L 10.432653 268.552118 
+L 10.486805 268.322791 
+L 10.676338 265.969596 
+L 10.757566 266.48234 
+L 10.947098 268.761156 
+L 11.00125 268.512047 
+L 11.353238 266.077889 
+L 11.40739 266.10037 
+L 11.488618 266.579613 
+L 11.678151 268.650531 
+L 11.732303 268.465043 
+L 11.948911 265.475089 
+L 12.030139 266.154802 
+L 12.246747 269.081295 
+L 12.273823 268.970803 
+L 12.436279 267.911487 
+L 12.490431 268.088072 
+L 12.652887 269.042088 
+L 12.70704 268.856423 
+L 12.950724 267.396874 
+L 13.004876 267.411339 
+L 13.194408 267.45589 
+L 13.329788 268.593418 
+L 13.411016 269.177942 
+L 13.465168 269.020037 
+L 13.708852 266.010534 
+L 13.763005 266.458293 
+L 13.979613 268.886115 
+L 14.006689 268.792513 
+L 14.277449 267.25067 
+L 14.331601 267.33415 
+L 14.466981 268.048513 
+L 14.602361 268.821278 
+L 14.656513 268.713423 
+L 14.900198 266.587288 
+L 15.008502 267.015484 
+L 15.198034 267.621663 
+L 15.279262 267.773418 
+L 15.604174 269.41992 
+L 15.685402 269.240542 
+L 15.820782 267.768227 
+L 15.983239 266.019162 
+L 16.010315 266.193936 
+L 16.199847 269.312173 
+L 16.281075 268.584588 
+L 16.470607 265.082536 
+L 16.497683 265.319446 
+L 16.714291 268.871706 
+L 16.768443 268.364321 
+L 16.9309 266.750868 
+L 16.957976 266.828313 
+L 17.06628 267.290356 
+L 17.120432 267.095239 
+L 17.282888 265.892598 
+L 17.33704 266.19036 
+L 17.526572 267.825552 
+L 17.580724 267.629242 
+L 17.689028 267.273461 
+L 17.716104 267.342789 
+L 17.851484 267.980641 
+L 17.905636 267.800667 
+L 18.068093 266.568394 
+L 18.122245 266.920209 
+L 18.338853 269.623883 
+L 18.393005 269.228784 
+L 18.636689 267.0769 
+L 18.663765 267.103539 
+L 18.880373 267.263641 
+L 19.04283 267.081458 
+L 19.124058 266.980853 
+L 19.151134 267.014711 
+L 19.259438 267.758545 
+L 19.421894 269.101069 
+L 19.44897 269.034581 
+L 19.71973 266.918665 
+L 19.85511 267.12396 
+L 19.963414 267.246323 
+L 20.071719 268.131915 
+L 20.207099 269.2136 
+L 20.234175 269.12583 
+L 20.450783 266.697343 
+L 20.559087 267.342401 
+L 20.721543 268.419994 
+L 20.748619 268.388086 
+L 21.019379 267.41975 
+L 21.181836 266.750803 
+L 21.208912 266.825388 
+L 21.398444 267.901831 
+L 21.479672 267.74023 
+L 21.533824 267.633527 
+L 21.5609 267.671934 
+L 21.669204 268.592534 
+L 21.750432 269.270616 
+L 21.804584 269.103596 
+L 22.021192 265.959993 
+L 22.10242 266.655554 
+L 22.264877 268.353904 
+L 22.291953 268.23709 
+L 22.454409 267.049178 
+L 22.508561 267.251745 
+L 22.671017 268.290861 
+L 22.698093 268.226232 
+L 22.941777 266.690742 
+L 22.995929 266.884739 
+L 23.26669 268.848994 
+L 23.320842 268.62338 
+L 23.53745 266.561008 
+L 23.591602 266.860338 
+L 23.781134 268.828315 
+L 23.835286 268.62984 
+L 24.133122 266.728456 
+L 24.160198 266.743576 
+L 24.268502 266.973845 
+L 24.403883 268.162031 
+L 24.539263 269.192502 
+L 24.593415 269.090293 
+L 24.891251 267.044312 
+L 25.053707 265.707565 
+L 25.080783 265.866259 
+L 25.297391 269.44276 
+L 25.37862 268.649019 
+L 25.514 266.606848 
+L 25.568152 266.908915 
+L 25.730608 269.002543 
+L 25.78476 268.579476 
+L 25.947216 266.576584 
+L 25.974292 266.747253 
+L 26.163824 269.4658 
+L 26.245052 268.985417 
+L 26.624117 265.51364 
+L 26.678269 265.77775 
+L 26.840725 269.798599 
+L 26.921953 270.678476 
+L 26.949029 270.466521 
+L 27.138561 267.208559 
+L 27.219789 267.76816 
+L 27.301017 268.498691 
+L 27.355169 268.335946 
+L 27.49055 266.892207 
+L 27.544702 267.125731 
+L 27.707158 269.382268 
+L 27.76131 269.005288 
+L 27.923766 266.57252 
+L 27.977918 266.978656 
+L 28.113298 268.692573 
+L 28.16745 268.264276 
+L 28.329906 266.026219 
+L 28.356982 266.247637 
+L 28.519439 268.829153 
+L 28.573591 268.336134 
+L 28.736047 265.438269 
+L 28.790199 266.106207 
+L 28.979731 269.975135 
+L 29.033883 269.499007 
+L 29.142187 268.271101 
+L 29.196339 268.48038 
+L 29.331719 269.793968 
+L 29.358795 269.671243 
+L 29.575404 266.301935 
+L 29.656632 267.122967 
+L 29.792012 268.596382 
+L 29.846164 268.46647 
+L 29.927392 268.139857 
+L 29.981544 268.238514 
+L 30.116924 268.866955 
+L 30.144 268.767323 
+L 30.333532 266.89056 
+L 30.41476 267.317305 
+L 30.523064 268.083525 
+L 30.577216 267.847848 
+L 30.712597 266.649324 
+L 30.766749 266.903064 
+L 30.956281 269.282287 
+L 31.010433 268.928936 
+L 31.199965 266.740249 
+L 31.254117 266.818435 
+L 31.335345 267.042384 
+L 31.389497 266.942063 
+L 31.524877 266.271727 
+L 31.579029 266.366909 
+L 32.039322 268.622858 
+L 32.066398 268.648609 
+L 32.093474 268.608052 
+L 32.201778 267.674427 
+L 32.364234 266.077417 
+L 32.418386 266.231032 
+L 32.689146 268.637038 
+L 32.770375 268.193106 
+L 32.932831 267.038823 
+L 32.959907 267.134803 
+L 33.149439 269.15531 
+L 33.230667 268.468545 
+L 33.420199 265.303348 
+L 33.447275 265.47515 
+L 33.663883 268.770503 
+L 33.745111 268.228864 
+L 33.82634 267.687001 
+L 33.880492 267.797255 
+L 33.988796 268.242454 
+L 34.015872 268.104487 
+L 34.205404 265.34768 
+L 34.259556 265.853285 
+L 34.449088 270.338257 
+L 34.50324 269.91677 
+L 34.692772 266.729021 
+L 34.719848 266.923527 
+L 34.855229 268.407434 
+L 34.909381 268.035667 
+L 35.044761 266.074477 
+L 35.098913 266.407289 
+L 35.288445 270.530727 
+L 35.369673 269.741159 
+L 35.559205 266.826522 
+L 35.586281 266.958882 
+L 35.721661 267.723523 
+L 35.748737 267.602539 
+L 35.93827 265.831469 
+L 36.019498 266.081547 
+L 36.452714 268.397746 
+L 36.506866 268.379275 
+L 36.723474 267.500109 
+L 36.967159 265.942647 
+L 37.021311 266.207466 
+L 37.237919 268.685359 
+L 37.292071 268.365812 
+L 37.454527 267.113445 
+L 37.481603 267.209244 
+L 37.616983 267.952199 
+L 37.644059 267.867385 
+L 37.833591 266.028042 
+L 37.887743 266.331971 
+L 38.077276 268.470294 
+L 38.131428 268.196739 
+L 38.239732 267.443177 
+L 38.293884 267.629978 
+L 38.45634 269.223173 
+L 38.510492 269.029467 
+L 38.672948 267.420323 
+L 38.7271 267.587079 
+L 38.889556 268.755915 
+L 38.916632 268.630155 
+L 39.133241 266.396398 
+L 39.214469 266.697853 
+L 39.349849 267.143073 
+L 39.376925 267.113665 
+L 39.431077 267.083597 
+L 39.458153 267.14231 
+L 39.566457 268.156134 
+L 39.674761 269.278569 
+L 39.728913 269.110687 
+L 39.972597 265.465087 
+L 40.053825 266.395118 
+L 40.243358 269.107685 
+L 40.270434 269.040531 
+L 40.487042 267.466579 
+L 40.541194 267.734863 
+L 40.70365 268.847923 
+L 40.757802 268.67176 
+L 40.97441 267.034869 
+L 41.028562 267.274821 
+L 41.191019 268.472591 
+L 41.245171 268.319737 
+L 41.461779 266.238877 
+L 41.543007 266.783872 
+L 41.759615 269.77913 
+L 41.813767 269.559307 
+L 42.003299 266.028758 
+L 42.111603 265.070344 
+L 42.138679 265.151874 
+L 42.301136 267.0978 
+L 42.436516 267.869861 
+L 42.463592 267.822908 
+L 42.653124 267.37851 
+L 42.6802 267.411466 
+L 42.842656 267.595025 
+L 42.869732 267.568081 
+L 42.978036 267.474352 
+L 43.005112 267.502858 
+L 43.194644 268.05639 
+L 43.275873 267.841064 
+L 43.438329 267.076805 
+L 43.492481 267.227021 
+L 43.682013 268.233992 
+L 43.709089 268.154977 
+L 43.898621 267.102545 
+L 43.952773 267.347081 
+L 44.088153 268.277055 
+L 44.142305 268.05421 
+L 44.358914 265.175696 
+L 44.440142 265.750084 
+L 44.65675 268.321752 
+L 44.683826 268.265138 
+L 45.035814 266.627755 
+L 45.089966 266.784395 
+L 45.225346 268.37274 
+L 45.33365 269.412633 
+L 45.360727 269.340599 
+L 45.469031 267.574437 
+L 45.631487 265.190842 
+L 45.658563 265.305803 
+L 45.875171 267.30765 
+L 45.929323 267.119743 
+L 46.037627 266.768969 
+L 46.064703 266.843045 
+L 46.254235 267.944377 
+L 46.308387 267.639807 
+L 46.552072 265.167129 
+L 46.606224 265.464999 
+L 46.931136 269.533121 
+L 47.03944 268.956041 
+L 47.256048 267.535914 
+L 47.283124 267.541519 
+L 47.364352 267.497463 
+L 47.499733 266.669607 
+L 47.608037 266.196058 
+L 47.635113 266.236373 
+L 47.851721 267.068279 
+L 47.932949 266.96025 
+L 47.987101 267.038671 
+L 48.122481 268.311806 
+L 48.230785 268.992746 
+L 48.257861 268.892864 
+L 48.474469 266.908088 
+L 48.528622 267.20732 
+L 48.691078 268.687502 
+L 48.74523 268.538678 
+L 48.907686 267.389409 
+L 48.961838 267.626194 
+L 49.15137 269.320687 
+L 49.205522 268.961038 
+L 49.42213 266.346827 
+L 49.476282 266.554796 
+L 49.801195 268.360136 
+L 50.017803 269.596464 
+L 50.071955 269.402614 
+L 50.396867 266.932773 
+L 50.451019 266.973673 
+L 50.613476 267.232996 
+L 50.884236 269.039072 
+L 50.99254 268.616638 
+L 51.2633 267.403318 
+L 51.371604 267.410752 
+L 51.506984 267.543243 
+L 51.53406 267.515514 
+L 51.723593 266.933805 
+L 51.777745 267.17568 
+L 51.967277 269.216349 
+L 52.021429 268.997053 
+L 52.210961 266.567507 
+L 52.265113 267.037024 
+L 52.427569 269.8769 
+L 52.481721 269.548029 
+L 52.671253 265.728806 
+L 52.725406 266.164527 
+L 52.914938 269.781797 
+L 52.96909 269.316711 
+L 53.158622 266.604996 
+L 53.185698 266.727729 
+L 53.348154 267.903919 
+L 53.37523 267.793105 
+L 53.537686 266.477691 
+L 53.618914 266.742796 
+L 53.727218 267.310505 
+L 53.781371 267.197701 
+L 53.889675 266.699892 
+L 53.943827 266.881482 
+L 54.133359 269.079521 
+L 54.214587 268.616729 
+L 54.377043 266.855985 
+L 54.431195 267.092117 
+L 54.566575 268.163477 
+L 54.620727 267.998774 
+L 54.756107 266.893551 
+L 54.810259 267.054179 
+L 54.999792 269.224883 
+L 55.053944 268.844264 
+L 55.243476 265.934366 
+L 55.297628 266.158484 
+L 55.460084 267.954057 
+L 55.514236 267.765035 
+L 55.703768 265.892776 
+L 55.75792 266.086 
+L 55.920377 267.059691 
+L 55.974529 266.897901 
+L 56.082833 266.447636 
+L 56.136985 266.554336 
+L 56.326517 267.52579 
+L 56.380669 267.349256 
+L 56.488973 266.96693 
+L 56.516049 267.021836 
+L 56.705581 268.193348 
+L 56.759733 267.845656 
+L 56.949266 265.591754 
+L 57.003418 265.984297 
+L 57.220026 269.214236 
+L 57.274178 268.955395 
+L 57.490786 267.051367 
+L 57.544938 267.167828 
+L 57.680318 267.540854 
+L 57.73447 267.499568 
+L 57.951078 267.313622 
+L 58.059383 267.262777 
+L 58.303067 266.596815 
+L 58.357219 266.752883 
+L 58.519675 268.371075 
+L 58.627979 269.185283 
+L 58.682131 269.046736 
+L 58.925815 266.723048 
+L 59.007043 267.127976 
+L 59.250728 268.402402 
+L 59.386108 268.638206 
+L 59.44026 268.702736 
+L 59.467336 268.662028 
+L 59.57564 267.804875 
+L 59.738096 266.412419 
+L 59.765172 266.477233 
+L 59.98178 267.947082 
+L 60.063008 267.728595 
+L 60.144237 267.50762 
+L 60.198389 267.575026 
+L 60.333769 267.956245 
+L 60.387921 267.857772 
+L 60.523301 267.445727 
+L 60.550377 267.498636 
+L 60.739909 268.503439 
+L 60.794061 268.285988 
+L 60.983593 266.875917 
+L 61.037745 267.070974 
+L 61.173126 267.837777 
+L 61.227278 267.705786 
+L 61.41681 266.481362 
+L 61.470962 266.619626 
+L 61.660494 267.522022 
+L 61.714646 267.384691 
+L 61.985406 265.973253 
+L 62.039558 266.094626 
+L 62.174938 267.502726 
+L 62.310319 268.79526 
+L 62.364471 268.688097 
+L 62.608155 267.097644 
+L 62.689383 267.148101 
+L 62.770611 267.020765 
+L 62.851839 266.903209 
+L 62.878915 266.986036 
+L 62.987219 268.271444 
+L 63.122599 269.734352 
+L 63.149675 269.57529 
+L 63.366284 266.256894 
+L 63.447512 267.069611 
+L 63.555816 268.299989 
+L 63.609968 267.921372 
+L 63.772424 265.153923 
+L 63.826576 265.513276 
+L 64.043184 270.002285 
+L 64.097336 269.502921 
+L 64.286868 266.941484 
+L 64.313945 267.024545 
+L 64.449325 267.664226 
+L 64.476401 267.586839 
+L 64.638857 266.691504 
+L 64.665933 266.790507 
+L 64.882541 268.771571 
+L 64.963769 268.516884 
+L 65.072073 268.117104 
+L 65.126225 268.198404 
+L 65.261605 268.529711 
+L 65.315757 268.456803 
+L 65.424062 268.287701 
+L 65.451138 268.313523 
+L 65.586518 268.601488 
+L 65.64067 268.531702 
+L 65.803126 268.100779 
+L 65.830202 268.152583 
+L 65.938506 268.475806 
+L 65.992658 268.336637 
+L 66.209266 266.341256 
+L 66.263418 266.675015 
+L 66.480027 268.89785 
+L 66.534179 268.812005 
+L 66.588331 268.719912 
+L 66.642483 268.799289 
+L 66.750787 269.102449 
+L 66.777863 269.011585 
+L 66.886167 267.465536 
+L 67.021547 265.698442 
+L 67.048623 265.836121 
+L 67.238155 268.563354 
+L 67.319383 267.94359 
+L 67.454763 266.478098 
+L 67.48184 266.623328 
+L 67.698448 269.623786 
+L 67.779676 268.952583 
+L 67.915056 267.904611 
+L 67.942132 267.986472 
+L 68.077512 268.62227 
+L 68.104588 268.536523 
+L 68.348272 266.435935 
+L 68.456576 266.77163 
+L 68.510728 266.82152 
+L 68.537805 266.765482 
+L 68.700261 266.194401 
+L 68.754413 266.357505 
+L 68.971021 267.668919 
+L 69.025173 267.593045 
+L 69.133477 266.696832 
+L 69.295933 263.040157 
+L 69.539617 251.559677 
+L 69.674998 232.178032 
+L 69.86453 163.051252 
+L 70.081138 88.858763 
+L 70.108214 89.131248 
+L 70.189442 106.980601 
+L 70.676811 258.639509 
+L 70.893419 266.924212 
+L 70.920495 266.792942 
+L 71.082951 265.07128 
+L 71.110027 265.249879 
+L 71.326635 268.254197 
+L 71.407863 267.992882 
+L 71.516167 267.687913 
+L 71.543243 267.748638 
+L 71.97646 269.702772 
+L 72.030612 269.34949 
+L 72.24722 266.622026 
+L 72.301372 266.89861 
+L 72.490904 268.424653 
+L 72.545056 268.275745 
+L 72.65336 267.96036 
+L 72.707512 268.029987 
+L 72.788741 268.128013 
+L 72.815817 268.060675 
+L 72.951197 266.768926 
+L 73.411489 262.083065 
+L 73.438565 262.201342 
+L 73.573945 264.774927 
+L 73.81763 267.972088 
+L 74.034238 269.370788 
+L 74.08839 269.186617 
+L 74.332074 267.406089 
+L 74.413302 267.508015 
+L 74.602834 267.798983 
+L 74.62991 267.774222 
+L 74.738214 267.421374 
+L 74.873595 266.887455 
+L 74.900671 266.924939 
+L 75.008975 267.857918 
+L 75.144355 269.135477 
+L 75.198507 268.950094 
+L 75.388039 267.121165 
+L 75.442191 267.361559 
+L 75.631723 269.220972 
+L 75.685875 269.040231 
+L 75.956636 266.446098 
+L 76.037864 266.778874 
+L 76.254472 269.40555 
+L 76.3357 268.857342 
+L 76.525232 265.465849 
+L 76.579384 265.698016 
+L 76.823068 269.274713 
+L 76.904296 268.807023 
+L 77.310437 265.945431 
+L 77.337513 266.064635 
+L 77.445817 268.44555 
+L 77.581197 271.296032 
+L 77.608273 271.18217 
+L 77.743653 267.777477 
+L 77.879033 265.742379 
+L 77.906109 265.850033 
+L 78.258098 267.772602 
+L 78.339326 268.022718 
+L 78.393478 267.892892 
+L 78.610086 266.103447 
+L 78.664238 266.370613 
+L 78.880846 268.266685 
+L 78.934998 268.218158 
+L 79.016226 268.140793 
+L 79.043302 268.191837 
+L 79.232835 269.027726 
+L 79.314063 268.830698 
+L 79.449443 268.340207 
+L 79.503595 268.440729 
+L 79.638975 268.871157 
+L 79.666051 268.815983 
+L 79.774355 267.845282 
+L 79.963887 266.237634 
+L 79.990963 266.317846 
+L 80.180496 267.42723 
+L 80.234648 267.311116 
+L 80.370028 266.678963 
+L 80.42418 266.776872 
+L 80.613712 267.924607 
+L 80.667864 267.717598 
+L 80.803244 266.878073 
+L 80.857396 267.120225 
+L 81.074004 269.438307 
+L 81.128156 269.079746 
+L 81.290613 267.771585 
+L 81.317689 267.848967 
+L 81.453069 268.546594 
+L 81.507221 268.304446 
+L 81.723829 266.393862 
+L 81.777981 266.544215 
+L 81.832133 266.648346 
+L 81.859209 266.590664 
+L 82.048741 265.040903 
+L 82.102893 265.527667 
+L 82.319502 269.89801 
+L 82.373654 269.487185 
+L 82.563186 267.0528 
+L 82.590262 267.191732 
+L 82.752718 268.43009 
+L 82.80687 268.146904 
+L 82.94225 267.159247 
+L 82.996402 267.339477 
+L 83.21301 268.779475 
+L 83.267162 268.70756 
+L 83.483771 268.422427 
+L 83.727455 265.241268 
+L 83.808683 266.143146 
+L 83.971139 268.596582 
+L 84.025291 268.356182 
+L 84.187747 266.729901 
+L 84.241899 266.932913 
+L 84.431432 268.598518 
+L 84.485584 268.521721 
+L 84.620964 268.14892 
+L 84.64804 268.190125 
+L 84.78342 268.56673 
+L 84.837572 268.474073 
+L 85.000028 267.757422 
+L 85.05418 267.853187 
+L 85.352016 269.581391 
+L 85.433245 269.328356 
+L 85.704005 267.450626 
+L 85.785233 267.786845 
+L 85.974765 269.285828 
+L 86.001841 269.195911 
+L 86.245525 266.940609 
+L 86.326753 267.397074 
+L 86.462134 268.073747 
+L 86.48921 267.997036 
+L 86.651666 267.203205 
+L 86.705818 267.366722 
+L 86.868274 268.261061 
+L 86.922426 268.098845 
+L 87.084882 267.315481 
+L 87.111958 267.388827 
+L 87.274414 268.152219 
+L 87.30149 268.053934 
+L 87.518099 265.981635 
+L 87.599327 266.376019 
+L 87.815935 267.516578 
+L 87.870087 267.603508 
+L 87.978391 268.643011 
+L 88.113771 270.00519 
+L 88.140847 269.927731 
+L 88.357455 267.663229 
+L 88.438683 268.298669 
+L 88.546988 269.0631 
+L 88.574064 268.95604 
+L 88.73652 267.342141 
+L 88.790672 267.670851 
+L 88.953128 270.203466 
+L 89.00728 269.796677 
+L 89.223888 265.090417 
+L 89.27804 265.846745 
+L 89.440496 269.260476 
+L 89.494648 268.897469 
+L 89.684181 265.981129 
+L 89.738333 266.443795 
+L 89.873713 268.050291 
+L 89.927865 267.882504 
+L 90.063245 266.74062 
+L 90.117397 266.978092 
+L 90.279853 268.823918 
+L 90.334005 268.523621 
+L 90.523537 265.672654 
+L 90.577689 265.954377 
+L 90.821374 269.116025 
+L 90.875526 268.925702 
+L 91.037982 268.417571 
+L 91.065058 268.436241 
+L 91.146286 268.415693 
+L 91.281666 267.693936 
+L 91.444122 267.130176 
+L 91.471198 267.150399 
+L 91.823187 267.429432 
+L 91.931491 267.021196 
+L 92.066871 266.419881 
+L 92.093947 266.465556 
+L 92.202251 267.375707 
+L 92.364707 268.616574 
+L 92.391783 268.595693 
+L 92.527163 268.307118 
+L 92.554239 268.35779 
+L 92.716695 269.078586 
+L 92.770848 268.985027 
+L 92.96038 267.941895 
+L 93.014532 268.098852 
+L 93.149912 268.675306 
+L 93.176988 268.599312 
+L 93.312368 267.090489 
+L 93.447748 266.158422 
+L 93.474824 266.251796 
+L 93.718508 267.858251 
+L 93.799736 267.612814 
+L 93.989269 266.690022 
+L 94.043421 266.757873 
+L 94.260029 267.821307 
+L 94.341257 267.5933 
+L 94.449561 267.281146 
+L 94.476637 267.366339 
+L 94.693245 269.134612 
+L 94.747397 268.722248 
+L 94.93693 266.015419 
+L 94.991082 266.21917 
+L 95.20769 268.620966 
+L 95.261842 268.347601 
+L 95.451374 266.926 
+L 95.505526 267.02104 
+L 95.803362 268.741487 
+L 95.88459 268.335695 
+L 96.047047 266.845593 
+L 96.101199 267.102966 
+L 96.317807 270.54724 
+L 96.399035 269.92882 
+L 96.588567 267.569672 
+L 96.615643 267.623715 
+L 96.751023 268.135893 
+L 96.778099 268.075076 
+L 96.913479 267.401078 
+L 96.967632 267.505513 
+L 97.130088 268.468625 
+L 97.157164 268.368998 
+L 97.346696 266.437453 
+L 97.427924 266.859213 
+L 97.59038 268.223693 
+L 97.617456 268.140278 
+L 97.779912 267.23848 
+L 97.834064 267.462359 
+L 97.969444 268.308363 
+L 98.023597 268.176136 
+L 98.213129 266.948159 
+L 98.294357 267.098107 
+L 98.700497 268.530621 
+L 98.727573 268.451138 
+L 98.944181 266.624948 
+L 99.025409 267.214151 
+L 99.133714 268.036569 
+L 99.16079 267.952733 
+L 99.350322 265.716318 
+L 99.43155 266.563851 
+L 99.594006 269.649037 
+L 99.648158 269.402402 
+L 99.83769 266.523304 
+L 99.891842 266.881434 
+L 100.081374 269.357631 
+L 100.135527 269.010669 
+L 100.352135 266.74101 
+L 100.406287 266.948987 
+L 100.568743 267.678089 
+L 100.595819 267.637461 
+L 101.056111 266.499591 
+L 101.110263 266.478348 
+L 101.137339 266.534023 
+L 101.245644 267.301361 
+L 101.4081 268.565705 
+L 101.462252 268.446456 
+L 101.67886 267.113445 
+L 101.760088 267.246764 
+L 101.868392 267.38403 
+L 101.895468 267.355492 
+L 101.976696 267.295173 
+L 102.003772 267.348838 
+L 102.112076 268.153266 
+L 102.247457 269.052801 
+L 102.274533 268.969373 
+L 102.464065 267.391968 
+L 102.545293 267.767498 
+L 102.680673 268.863993 
+L 102.734825 268.692559 
+L 102.951433 266.680535 
+L 103.005585 266.924982 
+L 103.249269 268.83319 
+L 103.303422 268.767765 
+L 103.438802 267.907273 
+L 103.601258 266.8918 
+L 103.628334 266.91232 
+L 103.763714 267.710391 
+L 103.844942 267.952731 
+L 103.872018 267.893993 
+L 104.034474 267.080029 
+L 104.088626 267.173807 
+L 104.251082 268.011798 
+L 104.305234 267.915676 
+L 104.440615 267.467207 
+L 104.467691 267.543666 
+L 104.630147 268.595919 
+L 104.684299 268.410016 
+L 104.900907 266.311484 
+L 104.955059 266.656123 
+L 105.090439 267.654618 
+L 105.117515 267.573728 
+L 105.307047 265.747068 
+L 105.388275 266.169846 
+L 105.740264 269.295865 
+L 105.821492 269.498522 
+L 105.875644 269.410944 
+L 106.119328 267.955533 
+L 106.200556 268.215336 
+L 106.254708 268.283796 
+L 106.281784 268.191506 
+L 106.417164 266.368861 
+L 106.525469 265.203717 
+L 106.579621 265.416599 
+L 106.796229 267.752198 
+L 106.877457 267.521379 
+L 106.958685 267.238929 
+L 107.012837 267.317892 
+L 107.175293 267.980914 
+L 107.202369 267.916775 
+L 107.446053 266.248149 
+L 107.527282 266.66777 
+L 107.689738 267.694207 
+L 107.74389 267.62241 
+L 107.987574 266.753405 
+L 108.041726 266.813837 
+L 108.204182 266.932953 
+L 108.231258 266.910407 
+L 108.447866 266.795902 
+L 108.556171 266.963922 
+L 108.691551 267.741275 
+L 108.881083 268.967787 
+L 108.908159 268.925039 
+L 109.070615 267.762643 
+L 109.151843 267.486145 
+L 109.205995 267.571555 
+L 109.314299 267.780969 
+L 109.341375 267.723828 
+L 109.585059 266.311386 
+L 109.666288 266.663372 
+L 109.85582 267.553379 
+L 109.882896 267.543805 
+L 110.018276 267.227441 
+L 110.234884 266.327714 
+L 110.289036 266.418893 
+L 110.424416 267.843793 
+L 110.53272 268.716824 
+L 110.586872 268.517646 
+L 110.830557 266.328931 
+L 110.884709 266.446001 
+L 111.236697 268.122566 
+L 111.345001 268.810144 
+L 111.372077 268.759621 
+L 111.507457 267.409064 
+L 111.588685 266.878847 
+L 111.642837 267.074031 
+L 111.886522 269.491265 
+L 111.940674 269.296486 
+L 112.23851 266.562371 
+L 112.319738 267.068805 
+L 112.482194 268.440357 
+L 112.50927 268.368223 
+L 112.64465 266.717838 
+L 112.752954 265.954331 
+L 112.780031 266.037622 
+L 112.969563 267.14213 
+L 113.023715 267.002337 
+L 113.077867 266.851118 
+L 113.132019 266.962128 
+L 113.294475 269.024263 
+L 113.375703 269.424853 
+L 113.402779 269.284964 
+L 113.646463 266.891646 
+L 113.727691 267.164282 
+L 114.07968 268.535391 
+L 114.106756 268.526994 
+L 114.21506 267.93747 
+L 114.296288 267.573542 
+L 114.35044 267.775871 
+L 114.512896 269.269359 
+L 114.567048 268.997801 
+L 114.75658 266.188838 
+L 114.837808 266.833841 
+L 115.027341 269.34963 
+L 115.054417 269.216489 
+L 115.271025 267.475624 
+L 115.352253 267.5019 
+L 115.433481 267.138037 
+L 115.568861 266.126761 
+L 115.623013 266.259973 
+L 115.866697 268.539874 
+L 115.947926 268.223853 
+L 116.029154 268.024511 
+L 116.05623 268.080868 
+L 116.245762 268.977227 
+L 116.299914 268.858744 
+L 116.435294 268.367797 
+L 116.489446 268.475771 
+L 116.706054 269.513329 
+L 116.760206 269.318556 
+L 116.922662 267.415188 
+L 117.112195 265.65244 
+L 117.139271 265.725587 
+L 117.355879 267.207716 
+L 117.437107 266.908217 
+L 117.518335 266.571914 
+L 117.572487 266.702714 
+L 117.762019 268.344854 
+L 117.843247 267.99862 
+L 117.978627 267.047006 
+L 118.005703 267.118753 
+L 118.195236 268.752375 
+L 118.249388 268.423194 
+L 118.465996 265.655467 
+L 118.520148 265.991184 
+L 118.84506 268.570095 
+L 118.926288 268.48618 
+L 119.034592 267.850946 
+L 119.169973 267.000185 
+L 119.197049 267.081145 
+L 119.332429 268.921703 
+L 119.413657 269.76181 
+L 119.467809 269.557996 
+L 119.657341 266.960146 
+L 119.738569 267.504114 
+L 119.873949 268.962343 
+L 119.901025 268.866457 
+L 120.036405 266.502622 
+L 120.14471 265.389724 
+L 120.171786 265.497132 
+L 120.361318 267.239936 
+L 120.442546 266.933398 
+L 120.577926 266.293763 
+L 120.605002 266.332518 
+L 120.82161 267.451589 
+L 121.011142 269.274617 
+L 121.119446 269.896709 
+L 121.146522 269.814382 
+L 121.715119 266.218658 
+L 121.769271 266.39606 
+L 121.985879 268.894872 
+L 122.040031 268.540841 
+L 122.25664 266.204095 
+L 122.283716 266.309523 
+L 122.500324 267.635665 
+L 122.554476 267.521897 
+L 122.93354 266.638212 
+L 122.987692 266.556526 
+L 123.014768 266.591701 
+L 123.123072 267.381094 
+L 123.393833 269.867214 
+L 123.420909 269.829305 
+L 123.556289 269.059523 
+L 123.989505 266.66859 
+L 124.043657 266.701915 
+L 124.151961 267.516422 
+L 124.314417 268.635849 
+L 124.341493 268.541285 
+L 124.612254 266.291947 
+L 124.693482 266.634211 
+L 124.883014 267.317368 
+L 124.91009 267.287092 
+L 125.099622 266.688376 
+L 125.262078 266.155183 
+L 125.31623 266.244191 
+L 125.559915 267.687279 
+L 125.641143 267.310957 
+L 125.830675 266.131135 
+L 125.857751 266.201836 
+L 126.101435 267.650396 
+L 126.182663 267.369069 
+L 126.318043 266.828122 
+L 126.345119 266.86108 
+L 126.453423 267.526441 
+L 126.61588 268.363029 
+L 126.642956 268.32769 
+L 126.778336 268.001964 
+L 126.832488 268.124542 
+L 126.994944 268.812882 
+L 127.02202 268.710535 
+L 127.1574 266.784314 
+L 127.29278 265.245999 
+L 127.319856 265.307106 
+L 127.455236 266.931994 
+L 127.644769 268.142559 
+L 128.240441 267.680671 
+L 128.267517 267.713154 
+L 128.375821 268.000022 
+L 128.565354 269.074163 
+L 128.619506 268.927789 
+L 128.836114 266.301005 
+L 128.917342 266.850836 
+L 129.106874 269.74497 
+L 129.161026 269.562542 
+L 129.350558 267.881064 
+L 129.40471 268.047133 
+L 129.513014 268.487467 
+L 129.54009 268.441428 
+L 129.756699 267.013888 
+L 129.837927 267.324987 
+L 129.946231 267.736914 
+L 129.973307 267.686275 
+L 130.162839 266.701458 
+L 130.216991 266.857547 
+L 130.568979 268.6123 
+L 130.596055 268.604236 
+L 130.677284 268.39076 
+L 130.920968 266.542039 
+L 131.002196 266.862264 
+L 131.191728 268.010766 
+L 131.218804 267.94349 
+L 131.38126 267.350561 
+L 131.435412 267.47316 
+L 131.570792 267.89683 
+L 131.597868 267.85496 
+L 131.814477 266.838157 
+L 131.895705 267.127843 
+L 132.085237 267.997633 
+L 132.112313 267.942404 
+L 132.247693 266.999556 
+L 132.355997 266.315684 
+L 132.410149 266.449497 
+L 132.518453 268.171833 
+L 132.707985 271.814437 
+L 132.762137 271.537567 
+L 133.032898 267.416801 
+L 133.141202 267.581512 
+L 133.195354 267.503698 
+L 133.330734 267.060336 
+L 133.35781 267.131471 
+L 133.547342 268.673751 
+L 133.62857 268.131623 
+L 133.818102 265.940761 
+L 133.845179 266.05845 
+L 134.034711 267.617003 
+L 134.088863 267.406218 
+L 134.197167 266.827567 
+L 134.251319 266.948478 
+L 134.413775 267.847825 
+L 134.440851 267.76062 
+L 134.576231 266.842772 
+L 134.630383 267.026671 
+L 134.819915 269.675159 
+L 134.901144 269.133939 
+L 135.0636 266.915535 
+L 135.117752 267.193328 
+L 135.253132 268.508123 
+L 135.307284 268.181821 
+L 135.46974 265.740388 
+L 135.523892 265.991644 
+L 135.7405 270.068843 
+L 135.821728 269.366164 
+L 136.011261 266.885308 
+L 136.038337 266.915667 
+L 136.579857 268.813778 
+L 136.606933 268.742262 
+L 136.850617 267.179782 
+L 136.958921 267.365492 
+L 137.013074 267.43756 
+L 137.067226 267.348087 
+L 137.256758 266.519191 
+L 137.31091 266.628859 
+L 137.500442 267.666415 
+L 137.554594 267.537759 
+L 137.798278 266.082213 
+L 137.85243 266.246781 
+L 138.177343 268.334585 
+L 138.285647 269.080214 
+L 138.339799 268.937379 
+L 138.556407 266.402085 
+L 138.637635 266.791994 
+L 138.800091 268.189366 
+L 138.827167 268.10938 
+L 139.043775 266.602637 
+L 139.097927 266.817792 
+L 139.341612 267.647296 
+L 139.449916 268.242319 
+L 139.55822 268.855534 
+L 139.612372 268.725776 
+L 139.82898 267.155926 
+L 139.883132 267.339907 
+L 140.018512 267.901932 
+L 140.072664 267.843574 
+L 140.153893 267.726186 
+L 140.180969 267.763944 
+L 140.343425 268.53227 
+L 140.397577 268.398988 
+L 140.614185 266.506045 
+L 140.668337 266.777642 
+L 140.803717 267.70929 
+L 140.857869 267.476238 
+L 141.074477 265.464691 
+L 141.128629 265.651831 
+L 141.480618 267.313659 
+L 141.53477 267.219464 
+L 141.724302 266.262757 
+L 141.778454 266.593306 
+L 141.967986 268.919511 
+L 142.022138 268.575939 
+L 142.238746 265.29436 
+L 142.292899 265.535175 
+L 142.482431 266.87552 
+L 142.509507 266.842802 
+L 142.590735 266.754899 
+L 142.617811 266.817779 
+L 142.834419 268.121762 
+L 142.888571 267.887653 
+L 143.051027 266.796399 
+L 143.105179 266.892979 
+L 143.430092 268.803 
+L 143.51132 268.566835 
+L 143.727928 266.74367 
+L 143.809156 267.07928 
+L 143.971612 268.307033 
+L 143.998688 268.23682 
+L 144.18822 266.859594 
+L 144.242372 267.106379 
+L 144.458981 269.078719 
+L 144.513133 268.922965 
+L 144.810969 267.328424 
+L 144.865121 267.409732 
+L 145.027577 268.507071 
+L 145.135881 268.853321 
+L 145.162957 268.799373 
+L 145.271261 268.493946 
+L 145.325413 268.585243 
+L 145.460794 269.174091 
+L 145.48787 269.101427 
+L 145.596174 267.660613 
+L 145.731554 266.107128 
+L 145.75863 266.275815 
+L 145.975238 269.478978 
+L 146.056466 268.834895 
+L 146.191846 267.58782 
+L 146.245998 267.71055 
+L 146.327226 268.032113 
+L 146.381378 267.910024 
+L 146.570911 266.448317 
+L 146.625063 266.732434 
+L 146.814595 268.189298 
+L 146.868747 268.135207 
+L 146.922899 268.152841 
+L 147.031203 269.009227 
+L 147.112431 269.640648 
+L 147.166583 269.385436 
+L 147.410267 264.98609 
+L 147.491495 265.789053 
+L 147.626876 267.107625 
+L 147.653952 266.981609 
+L 147.843484 265.162186 
+L 147.897636 265.410188 
+L 148.466232 269.875971 
+L 148.493308 269.91315 
+L 148.520384 269.861798 
+L 148.628689 268.844061 
+L 148.872373 265.932113 
+L 148.899449 266.025572 
+L 149.034829 268.026013 
+L 149.197285 269.912887 
+L 149.224361 269.852701 
+L 149.386817 268.343111 
+L 149.576349 267.4633 
+L 149.657578 267.594391 
+L 149.792958 268.702762 
+L 149.955414 270.05405 
+L 150.009566 269.934266 
+L 150.334478 267.706461 
+L 150.442782 267.728172 
+L 150.551086 267.189336 
+L 150.713543 266.280068 
+L 150.740619 266.389175 
+L 150.875999 268.313027 
+L 151.011379 269.664546 
+L 151.038455 269.544954 
+L 151.227987 267.669136 
+L 151.309215 268.114889 
+L 151.417519 268.981093 
+L 151.471671 268.786296 
+L 151.688279 266.382731 
+L 151.742432 266.718014 
+L 151.877812 267.619056 
+L 151.904888 267.503561 
+L 152.067344 266.00278 
+L 152.121496 266.177732 
+L 152.283952 267.77371 
+L 152.338104 267.498273 
+L 152.527636 265.358366 
+L 152.581788 265.819713 
+L 152.77132 268.222614 
+L 152.825473 267.959932 
+L 152.987929 266.740634 
+L 153.042081 266.905236 
+L 153.204537 267.768461 
+L 153.258689 267.700462 
+L 153.691905 266.56726 
+L 153.746057 266.643193 
+L 153.908514 267.799007 
+L 153.989742 268.161808 
+L 154.043894 268.040912 
+L 154.260502 266.539397 
+L 154.314654 266.773449 
+L 154.504186 268.581391 
+L 154.558338 268.363817 
+L 154.774946 265.618624 
+L 154.856174 266.141546 
+L 155.018631 267.603975 
+L 155.045707 267.529187 
+L 155.181087 266.887299 
+L 155.208163 267.003023 
+L 155.397695 269.454253 
+L 155.478923 268.878691 
+L 155.641379 266.187921 
+L 155.695531 266.474817 
+L 155.885063 269.227138 
+L 155.939215 268.743383 
+L 156.101672 266.295072 
+L 156.155824 266.514024 
+L 156.345356 268.687977 
+L 156.399508 268.503028 
+L 156.561964 267.55574 
+L 156.616116 267.647077 
+L 156.697344 267.804174 
+L 156.72442 267.773445 
+L 156.886876 267.13229 
+L 156.941028 267.282241 
+L 157.130561 268.657442 
+L 157.211789 268.392596 
+L 157.455473 267.510248 
+L 157.563777 266.871726 
+L 157.672081 266.242842 
+L 157.699157 266.316818 
+L 157.807461 267.73763 
+L 157.942841 269.106994 
+L 157.969917 268.952207 
+L 158.132374 267.069071 
+L 158.186526 267.248497 
+L 158.376058 269.276739 
+L 158.43021 268.772255 
+L 158.619742 266.420506 
+L 158.646818 266.567363 
+L 158.890502 268.619174 
+L 158.944654 268.612198 
+L 159.025882 268.876062 
+L 159.134187 269.38963 
+L 159.161263 269.3389 
+L 159.269567 268.022873 
+L 159.404947 266.556908 
+L 159.432023 266.679949 
+L 159.621555 268.648785 
+L 159.675707 268.335926 
+L 159.811087 267.141897 
+L 159.865239 267.436824 
+L 160.027695 269.352295 
+L 160.081847 269.070769 
+L 160.27138 266.610967 
+L 160.325532 266.936965 
+L 160.54214 269.409846 
+L 160.596292 269.352524 
+L 161.08366 267.805132 
+L 161.164888 267.995127 
+L 161.21904 268.06869 
+L 161.246117 268.028606 
+L 161.381497 267.142058 
+L 161.462725 266.810801 
+L 161.516877 266.951299 
+L 161.760561 268.091909 
+L 161.787637 268.073197 
+L 161.895941 268.098999 
+L 162.031321 268.331139 
+L 162.058397 268.302851 
+L 162.275006 267.554924 
+L 162.329158 267.706905 
+L 162.599918 269.624247 
+L 162.681146 269.372593 
+L 162.897754 267.470704 
+L 162.951906 267.78383 
+L 163.141438 270.244416 
+L 163.19559 269.941322 
+L 163.385123 267.017904 
+L 163.439275 267.333035 
+L 163.628807 270.225114 
+L 163.682959 269.948999 
+L 163.980795 267.253645 
+L 164.062023 267.046215 
+L 164.170327 266.64884 
+L 164.197403 266.713208 
+L 164.305707 268.030135 
+L 164.441088 269.745913 
+L 164.49524 269.568884 
+L 164.684772 267.725067 
+L 164.738924 267.86815 
+L 164.928456 268.883566 
+L 164.982608 268.831201 
+L 165.30752 268.111629 
+L 165.821965 264.240646 
+L 165.876117 264.473772 
+L 166.119801 267.578431 
+L 166.201029 267.22411 
+L 166.309333 266.79609 
+L 166.336409 266.869516 
+L 166.580094 268.497086 
+L 166.661322 268.162489 
+L 167.01331 266.450791 
+L 167.094538 266.525482 
+L 167.365298 267.349762 
+L 167.41945 267.245457 
+L 167.608983 266.528525 
+L 167.663135 266.60026 
+L 167.798515 267.695134 
+L 168.042199 269.419855 
+L 168.123427 269.234787 
+L 168.692024 266.64144 
+L 168.773252 266.989551 
+L 168.98986 269.956792 
+L 169.071088 269.360189 
+L 169.26062 266.424977 
+L 169.314772 266.838361 
+L 169.504304 269.627551 
+L 169.558456 269.363109 
+L 169.720913 267.842229 
+L 169.775065 267.981014 
+L 169.856293 268.353876 
+L 169.910445 268.208225 
+L 170.099977 266.10677 
+L 170.154129 266.557599 
+L 170.343661 270.13835 
+L 170.397813 269.836814 
+L 170.587345 266.650028 
+L 170.668573 267.159566 
+L 170.83103 268.715811 
+L 170.858106 268.643554 
+L 170.993486 267.941018 
+L 171.047638 268.057697 
+L 171.183018 268.68487 
+L 171.210094 268.604676 
+L 171.426702 266.48816 
+L 171.50793 267.01849 
+L 171.64331 268.364611 
+L 171.697462 268.172228 
+L 171.941147 265.355813 
+L 171.995299 265.684385 
+L 172.184831 267.153199 
+L 172.211907 267.083441 
+L 172.374363 266.275028 
+L 172.428515 266.498098 
+L 172.672199 268.972045 
+L 172.753427 268.514111 
+L 172.888808 267.632688 
+L 172.915884 267.70041 
+L 173.132492 269.658254 
+L 173.21372 269.215466 
+L 173.430328 267.214174 
+L 173.457404 267.304174 
+L 173.728164 268.824339 
+L 173.809392 268.765927 
+L 173.944773 268.368388 
+L 174.188457 266.705498 
+L 174.269685 266.983627 
+L 174.513369 268.338495 
+L 174.540445 268.327093 
+L 174.621673 268.355072 
+L 174.811205 269.052501 
+L 174.865357 268.904068 
+L 175.027814 266.965275 
+L 175.163194 265.97957 
+L 175.19027 266.023736 
+L 175.298574 266.830524 
+L 175.542258 268.722634 
+L 175.569334 268.664284 
+L 175.704714 267.530777 
+L 175.840094 266.787673 
+L 175.86717 266.878811 
+L 176.137931 269.065858 
+L 176.219159 268.787802 
+L 176.408691 266.43191 
+L 176.516995 265.467836 
+L 176.571147 265.683209 
+L 176.814831 269.545404 
+L 176.896059 268.801763 
+L 177.085592 266.116417 
+L 177.112668 266.246851 
+L 177.329276 268.648308 
+L 177.410504 268.265685 
+L 177.57296 267.350027 
+L 177.600036 267.376779 
+L 177.789568 267.775324 
+L 177.84372 267.696721 
+L 178.114481 267.220161 
+L 178.141557 267.232159 
+L 178.304013 267.55546 
+L 178.412317 267.635516 
+L 178.439393 267.612357 
+L 178.547697 267.557028 
+L 178.574773 267.591813 
+L 178.710153 267.877031 
+L 178.764305 267.775894 
+L 178.980913 266.447968 
+L 179.062141 266.79584 
+L 179.197522 267.555879 
+L 179.251674 267.473927 
+L 179.359978 267.129282 
+L 179.41413 267.224828 
+L 179.54951 267.826095 
+L 179.603662 267.676477 
+L 179.739042 266.789735 
+L 179.793194 267.027671 
+L 179.95565 269.126332 
+L 180.009802 268.781828 
+L 180.226411 264.45477 
+L 180.280563 265.255899 
+L 180.443019 268.453895 
+L 180.470095 268.252425 
+L 180.659627 264.612979 
+L 180.713779 265.251463 
+L 180.930387 269.994703 
+L 180.984539 269.555397 
+L 181.228223 267.512292 
+L 181.39068 266.999834 
+L 181.444832 267.217284 
+L 181.66144 270.220887 
+L 181.742668 269.477487 
+L 181.9322 266.80444 
+L 181.959276 266.890551 
+L 182.121732 268.048648 
+L 182.175884 267.939898 
+L 182.473721 266.485596 
+L 182.500797 266.497568 
+L 182.582025 266.84782 
+L 182.798633 269.431741 
+L 182.879861 268.808383 
+L 183.069393 265.751812 
+L 183.123545 266.110192 
+L 183.286001 268.010426 
+L 183.340153 267.661549 
+L 183.50261 265.994278 
+L 183.529686 266.152984 
+L 183.746294 269.297106 
+L 183.827522 268.932487 
+L 183.989978 267.836564 
+L 184.04413 267.896569 
+L 184.152434 268.021972 
+L 184.17951 267.992249 
+L 184.287814 267.905249 
+L 184.31489 267.958627 
+L 184.450271 268.360318 
+L 184.477347 268.300737 
+L 184.585651 267.209774 
+L 184.721031 266.048141 
+L 184.748107 266.181477 
+L 184.964715 268.740026 
+L 185.045943 268.253427 
+L 185.181323 267.280608 
+L 185.208399 267.332424 
+L 185.343779 268.006655 
+L 185.397931 267.848928 
+L 185.560388 266.502364 
+L 185.61454 266.713119 
+L 185.804072 268.760029 
+L 185.858224 268.489641 
+L 186.02068 266.905328 
+L 186.074832 267.056382 
+L 186.210212 267.886456 
+L 186.264364 267.683196 
+L 186.399744 266.697145 
+L 186.453896 266.957291 
+L 186.643429 269.425086 
+L 186.724657 269.003207 
+L 186.860037 267.786401 
+L 186.914189 267.877522 
+L 187.022493 268.374818 
+L 187.076645 268.271707 
+L 187.212025 267.627921 
+L 187.239101 267.730853 
+L 187.428633 269.642794 
+L 187.482785 269.130275 
+L 187.672318 265.567466 
+L 187.72647 265.840936 
+L 187.888926 267.827465 
+L 187.943078 267.619066 
+L 188.051382 266.806946 
+L 188.105534 267.031021 
+L 188.295066 269.443501 
+L 188.349218 269.116304 
+L 188.53875 267.005888 
+L 188.592902 267.134626 
+L 188.701207 267.44124 
+L 188.728283 267.395947 
+L 188.809511 267.176215 
+L 188.863663 267.299374 
+L 189.080271 269.412577 
+L 189.134423 269.035426 
+L 189.269803 267.59264 
+L 189.323955 267.749665 
+L 189.486411 269.154136 
+L 189.540563 268.793451 
+L 189.675944 267.326398 
+L 189.730096 267.582038 
+L 189.919628 270.11397 
+L 189.97378 269.696923 
+L 190.24454 266.362475 
+L 190.271616 266.392151 
+L 190.542376 266.887144 
+L 190.704832 267.536445 
+L 190.731909 267.491495 
+L 190.813137 267.322994 
+L 190.867289 267.42492 
+L 191.029745 268.51303 
+L 191.083897 268.373202 
+L 191.273429 266.419241 
+L 191.354657 266.957686 
+L 191.490037 268.3858 
+L 191.544189 268.140005 
+L 191.733721 265.689597 
+L 191.81495 266.157218 
+L 192.058634 268.868243 
+L 192.112786 268.790192 
+L 192.708458 266.632526 
+L 192.76261 266.857086 
+L 192.979219 269.682927 
+L 193.060447 268.965699 
+L 193.277055 265.344636 
+L 193.331207 265.462721 
+L 193.493663 266.06893 
+L 193.520739 266.047378 
+L 193.574891 266.046342 
+L 193.601967 266.122484 
+L 193.737347 267.475452 
+L 193.845651 268.137443 
+L 193.872727 268.018007 
+L 194.089336 266.187729 
+L 194.143488 266.487192 
+L 194.360096 267.889451 
+L 194.387172 267.860521 
+L 194.549628 267.681015 
+L 194.576704 267.713184 
+L 194.793312 267.999574 
+L 194.820388 267.952793 
+L 194.955769 267.206531 
+L 195.064073 266.787378 
+L 195.091149 266.894394 
+L 195.253605 269.064641 
+L 195.307757 269.446757 
+L 195.361909 269.190257 
+L 195.524365 266.964434 
+L 195.578517 267.169748 
+L 195.768049 269.790741 
+L 195.822201 269.264546 
+L 195.984658 266.70565 
+L 196.03881 266.947723 
+L 196.147114 268.009883 
+L 196.201266 267.77825 
+L 196.390798 264.859235 
+L 196.44495 265.514538 
+L 196.607406 268.941401 
+L 196.661558 268.6402 
+L 196.824014 266.011667 
+L 196.878166 266.422143 
+L 197.040623 269.086201 
+L 197.094775 268.712583 
+L 197.284307 266.006127 
+L 197.311383 266.191675 
+L 197.473839 268.288417 
+L 197.527991 268.056469 
+L 197.744599 265.206629 
+L 197.798751 265.520749 
+L 198.123664 268.009823 
+L 198.28612 267.972742 
+L 198.394424 267.499561 
+L 198.55688 266.471981 
+L 198.611032 266.588316 
+L 198.854716 268.89498 
+L 198.935944 268.299125 
+L 199.125476 266.581598 
+L 199.152553 266.676949 
+L 199.342085 267.708691 
+L 199.396237 267.590424 
+L 199.504541 267.346414 
+L 199.558693 267.423806 
+L 199.639921 267.545995 
+L 199.666997 267.501578 
+L 199.856529 266.497472 
+L 199.910681 266.848291 
+L 200.100213 269.268832 
+L 200.154365 268.85539 
+L 200.370974 265.5935 
+L 200.425126 266.046399 
+L 200.641734 268.336496 
+L 200.66881 268.286563 
+L 200.912494 267.778687 
+L 201.047874 267.883405 
+L 201.183254 268.612889 
+L 201.291559 269.000985 
+L 201.318635 268.930108 
+L 201.508167 267.313959 
+L 201.643547 266.932702 
+L 201.670623 266.944206 
+L 201.778927 267.163185 
+L 201.914307 268.329572 
+L 202.076763 269.746223 
+L 202.103839 269.72459 
+L 202.266295 269.050043 
+L 202.347524 269.267975 
+L 202.428752 269.543201 
+L 202.482904 269.385018 
+L 202.753664 266.993472 
+L 202.834892 267.243751 
+L 203.213956 268.795253 
+L 203.268108 268.45636 
+L 203.430565 266.722533 
+L 203.484717 267.039437 
+L 203.674249 269.705171 
+L 203.728401 269.248359 
+L 203.917933 266.290815 
+L 203.972085 266.612329 
+L 204.161617 268.64553 
+L 204.215769 268.440008 
+L 204.513606 266.806859 
+L 204.567758 266.893594 
+L 204.703138 267.928461 
+L 204.811442 268.518473 
+L 204.838518 268.428355 
+L 205.000974 267.015666 
+L 205.055126 267.226072 
+L 205.244658 269.924627 
+L 205.29881 269.522196 
+L 205.488343 266.072291 
+L 205.542495 266.477039 
+L 205.759103 269.969233 
+L 205.813255 269.523299 
+L 206.084015 267.195593 
+L 206.192319 267.119421 
+L 206.436003 266.845324 
+L 206.571384 267.022123 
+L 206.787992 267.980631 
+L 206.86922 267.676099 
+L 207.0046 266.899546 
+L 207.031676 266.97129 
+L 207.167056 268.696726 
+L 207.27536 269.618953 
+L 207.302436 269.53316 
+L 207.491968 267.780725 
+L 207.573197 268.13105 
+L 207.708577 269.203625 
+L 207.762729 269.080424 
+L 208.033489 266.606313 
+L 208.114717 266.966181 
+L 208.304249 267.980397 
+L 208.331325 267.941577 
+L 208.547933 267.134655 
+L 208.629162 267.341331 
+L 208.71039 267.490135 
+L 208.737466 267.429365 
+L 208.872846 266.250038 
+L 208.98115 265.686957 
+L 209.008226 265.788352 
+L 209.224834 267.547267 
+L 209.306062 267.295903 
+L 209.414366 266.949097 
+L 209.441442 266.993253 
+L 209.603898 267.539423 
+L 209.630974 267.461246 
+L 209.847583 265.750938 
+L 209.928811 266.073308 
+L 210.199571 268.428517 
+L 210.226647 268.346564 
+L 210.389103 266.807953 
+L 210.497407 266.173549 
+L 210.551559 266.278775 
+L 210.714015 266.923125 
+L 210.768168 266.819134 
+L 210.876472 266.577559 
+L 210.903548 266.645403 
+L 211.09308 267.966884 
+L 211.174308 267.59897 
+L 211.309688 266.694931 
+L 211.336764 266.823935 
+L 211.526296 269.159699 
+L 211.607524 268.443807 
+L 211.797057 265.70498 
+L 211.824133 265.819032 
+L 211.986589 267.054232 
+L 212.040741 266.885505 
+L 212.121969 266.54452 
+L 212.149045 266.596211 
+L 212.257349 268.041599 
+L 212.392729 269.604913 
+L 212.419805 269.447824 
+L 212.636413 266.877331 
+L 212.690565 267.120976 
+L 212.798869 267.597018 
+L 212.825945 267.526552 
+L 212.961326 266.87237 
+L 212.988402 266.979941 
+L 213.123782 269.140146 
+L 213.20501 270.077306 
+L 213.259162 269.900036 
+L 213.448694 268.033475 
+L 213.502846 268.346136 
+L 213.61115 269.055262 
+L 213.638226 268.98081 
+L 213.773606 267.114085 
+L 213.854834 266.462794 
+L 213.88191 266.561561 
+L 214.125595 269.686043 
+L 214.233899 269.003215 
+L 214.450507 267.710886 
+L 214.531735 267.778622 
+L 214.748343 268.467299 
+L 214.802495 268.326596 
+L 215.04618 266.340835 
+L 215.154484 266.783913 
+L 215.45232 268.37958 
+L 215.533548 268.492822 
+L 215.560624 268.465175 
+L 215.668928 267.955513 
+L 215.777232 267.439554 
+L 215.831384 267.535748 
+L 216.020917 268.710852 
+L 216.075069 268.550439 
+L 216.291677 267.140613 
+L 216.345829 267.259146 
+L 216.481209 267.542768 
+L 216.508285 267.508608 
+L 216.589513 267.389948 
+L 216.643665 267.47608 
+L 216.833197 268.340119 
+L 216.887349 268.05596 
+L 217.103958 266.136398 
+L 217.15811 266.382633 
+L 217.591326 269.729537 
+L 217.618402 269.643795 
+L 217.753782 267.864173 
+L 217.83501 267.166476 
+L 217.862086 267.26309 
+L 218.051618 270.192927 
+L 218.132847 269.339421 
+L 218.322379 265.035559 
+L 218.376531 265.571541 
+L 218.566063 268.750593 
+L 218.593139 268.571903 
+L 218.755595 266.65683 
+L 218.809747 266.91044 
+L 218.945127 268.101253 
+L 218.999279 267.791304 
+L 219.134659 266.21211 
+L 219.188812 266.452378 
+L 219.378344 269.69421 
+L 219.459572 269.015616 
+L 219.622028 266.553027 
+L 219.67618 266.772243 
+L 219.838636 268.042414 
+L 219.865712 267.963391 
+L 220.001092 267.251123 
+L 220.055244 267.446592 
+L 220.217701 268.526968 
+L 220.244777 268.411125 
+L 220.434309 266.770944 
+L 220.488461 267.194173 
+L 220.677993 269.768329 
+L 220.732145 269.529416 
+L 220.975829 266.697297 
+L 221.057057 266.921928 
+L 221.219513 267.6305 
+L 221.273666 267.57163 
+L 221.463198 266.884195 
+L 221.51735 267.068038 
+L 221.733958 268.948015 
+L 221.78811 268.664654 
+L 222.004718 266.111671 
+L 222.05887 266.336789 
+L 222.221326 267.414597 
+L 222.248402 267.337982 
+L 222.383783 266.556475 
+L 222.437935 266.705017 
+L 222.627467 268.423181 
+L 222.681619 268.120403 
+L 222.844075 266.425064 
+L 222.898227 266.703893 
+L 223.087759 268.984767 
+L 223.141911 268.679704 
+L 223.331443 266.598947 
+L 223.385596 266.801457 
+L 223.548052 267.870618 
+L 223.602204 267.708629 
+L 223.76466 266.852296 
+L 223.818812 266.948464 
+L 224.1708 268.104598 
+L 224.279104 268.060782 
+L 224.495713 267.494204 
+L 224.549865 267.590786 
+L 224.658169 267.767135 
+L 224.685245 267.704028 
+L 224.901853 266.333961 
+L 224.983081 266.784981 
+L 225.118461 267.926959 
+L 225.172613 267.780158 
+L 225.389221 265.781759 
+L 225.443373 266.077257 
+L 225.60583 267.37689 
+L 225.659982 267.300478 
+L 225.768286 266.919475 
+L 225.822438 267.046276 
+L 226.01197 268.246479 
+L 226.066122 267.943542 
+L 226.309806 265.473735 
+L 226.363958 265.606292 
+L 226.553491 267.124505 
+L 226.770099 268.961295 
+L 226.797175 268.906629 
+L 226.905479 267.798987 
+L 227.067935 266.241244 
+L 227.095011 266.252324 
+L 227.663608 267.977984 
+L 227.71776 267.835503 
+L 227.85314 267.511783 
+L 227.880216 267.558826 
+L 227.98852 267.806983 
+L 228.015596 267.772385 
+L 228.1239 267.03833 
+L 228.205128 266.521794 
+L 228.25928 266.662064 
+L 228.475888 269.278684 
+L 228.557116 268.883445 
+L 228.719573 267.730426 
+L 228.746649 267.821476 
+L 228.882029 268.430545 
+L 228.909105 268.332129 
+L 229.125713 266.210812 
+L 229.206941 266.824919 
+L 229.342321 268.169272 
+L 229.396473 268.03276 
+L 229.558929 266.774456 
+L 229.613081 266.94378 
+L 229.856766 268.935181 
+L 229.910918 268.773214 
+L 230.317058 266.745368 
+L 230.37121 266.836254 
+L 230.587818 267.660278 
+L 230.64197 267.586807 
+L 230.723198 267.486844 
+L 230.750275 267.515591 
+L 230.939807 268.24219 
+L 231.021035 267.980746 
+L 231.237643 266.569797 
+L 231.291795 266.679457 
+L 231.725011 268.405848 
+L 231.779163 268.304696 
+L 232.022848 267.212516 
+L 232.104076 267.394263 
+L 232.21238 267.628111 
+L 232.266532 267.568252 
+L 232.428988 267.195713 
+L 232.48314 267.250161 
+L 232.835128 267.856988 
+L 232.970509 267.771895 
+L 233.105889 267.25822 
+L 233.349573 266.138522 
+L 233.376649 266.153409 
+L 233.484953 266.562168 
+L 233.809865 267.860754 
+L 233.972322 268.096026 
+L 233.999398 268.048259 
+L 234.107702 267.322448 
+L 234.270158 265.991522 
+L 234.32431 266.132219 
+L 234.567994 268.149309 
+L 234.649222 267.83324 
+L 234.784602 267.379796 
+L 234.811678 267.428239 
+L 234.947058 267.818115 
+L 235.001211 267.733382 
+L 235.190743 266.919121 
+L 235.244895 267.067511 
+L 235.569807 269.369798 
+L 235.651035 269.071414 
+L 235.948871 266.454474 
+L 236.0301 266.715706 
+L 236.246708 267.49292 
+L 236.355012 267.536988 
+L 236.598696 268.407975 
+L 236.679924 268.209816 
+L 236.97776 267.376129 
+L 237.248521 266.882157 
+L 237.302673 267.006641 
+L 237.844193 269.180229 
+L 237.925421 268.980878 
+L 238.196182 267.401834 
+L 238.27741 267.652148 
+L 238.385714 268.02792 
+L 238.41279 267.991883 
+L 238.521094 267.20987 
+L 238.629398 266.456882 
+L 238.68355 266.592488 
+L 238.900158 268.633975 
+L 238.981386 268.194559 
+L 239.252147 266.014936 
+L 239.279223 266.055217 
+L 239.414603 266.647117 
+L 239.685363 269.026981 
+L 239.766591 268.680182 
+L 239.983199 266.972183 
+L 240.037351 267.073331 
+L 240.145655 267.287626 
+L 240.172731 267.235392 
+L 240.38934 266.342081 
+L 240.443492 266.509519 
+L 240.578872 267.029352 
+L 240.633024 266.972371 
+L 240.741328 266.744504 
+L 240.768404 266.801827 
+L 240.876708 267.861185 
+L 241.06624 269.81642 
+L 241.093316 269.733847 
+L 241.282849 268.447661 
+L 241.337001 268.617946 
+L 241.499457 269.778644 
+L 241.553609 269.654517 
+L 241.716065 267.471445 
+L 241.851445 266.308853 
+L 241.878521 266.327662 
+L 241.986825 267.005938 
+L 242.176357 268.009021 
+L 242.203433 267.955356 
+L 242.420042 267.129432 
+L 242.474194 267.284375 
+L 242.63665 267.876856 
+L 242.663726 267.819039 
+L 242.826182 267.055724 
+L 242.880334 267.178929 
+L 243.069866 268.415943 
+L 243.124018 268.07515 
+L 243.340626 265.635586 
+L 243.394779 265.905467 
+L 243.773843 268.75568 
+L 243.800919 268.788568 
+L 243.827995 268.745574 
+L 243.909223 267.989935 
+L 244.098755 264.985391 
+L 244.152907 265.221051 
+L 244.342439 268.036397 
+L 244.423667 267.543315 
+L 244.586124 265.8372 
+L 244.6132 265.921041 
+L 244.802732 267.321241 
+L 244.856884 267.134886 
+L 244.992264 266.448378 
+L 245.046416 266.566293 
+L 245.398404 268.152443 
+L 245.42548 268.118453 
+L 245.506709 267.595482 
+L 245.696241 265.720264 
+L 245.723317 265.897897 
+L 245.967001 270.013589 
+L 246.048229 269.281927 
+L 246.183609 268.110752 
+L 246.210685 268.178494 
+L 246.291913 268.4792 
+L 246.318989 268.414421 
+L 246.400217 267.24561 
+L 246.535597 264.508645 
+L 246.58975 264.808536 
+L 246.806358 269.953297 
+L 246.86051 269.167336 
+L 247.050042 265.316548 
+L 247.077118 265.524528 
+L 247.185422 266.771191 
+L 247.239574 266.264082 
+L 247.40203 259.069882 
+L 247.510334 256.746016 
+L 247.53741 257.077831 
+L 247.862323 264.582967 
+L 247.943551 264.577178 
+L 248.024779 265.117956 
+L 248.376767 270.478163 
+L 248.485071 269.818414 
+L 248.755832 267.444329 
+L 248.999516 267.444478 
+L 249.189048 268.406074 
+L 249.270276 268.024261 
+L 249.486884 265.71604 
+L 249.541036 266.117633 
+L 249.757645 268.450157 
+L 249.784721 268.356823 
+L 249.920101 267.55555 
+L 249.974253 267.700522 
+L 250.217937 270.211477 
+L 250.299165 269.818295 
+L 250.651153 267.25504 
+L 250.732381 267.235097 
+L 250.759458 267.266843 
+L 250.867762 267.359533 
+L 250.894838 267.310497 
+L 251.030218 266.406841 
+L 251.111446 265.925626 
+L 251.165598 266.046026 
+L 251.300978 267.970265 
+L 251.436358 269.212164 
+L 251.463434 269.107619 
+L 251.707118 267.293145 
+L 251.76127 267.418442 
+L 252.059107 268.838795 
+L 252.167411 269.399867 
+L 252.194487 269.304868 
+L 252.302791 267.734308 
+L 252.465247 265.595044 
+L 252.492323 265.713522 
+L 252.708931 267.928272 
+L 252.790159 267.554749 
+L 252.92554 266.863746 
+L 252.979692 266.909915 
+L 253.304604 267.849587 
+L 253.439984 268.70789 
+L 253.494136 268.580421 
+L 253.629516 267.852702 
+L 253.683668 267.991332 
+L 253.846124 269.021672 
+L 253.8732 268.892298 
+L 254.089809 265.838756 
+L 254.198113 266.622464 
+L 254.333493 267.798262 
+L 254.360569 267.726676 
+L 254.523025 266.873064 
+L 254.550101 266.972549 
+L 254.739633 268.398338 
+L 254.793785 268.239876 
+L 254.929165 267.522395 
+L 254.983318 267.634865 
+L 255.145774 268.454892 
+L 255.199926 268.380585 
+L 255.30823 268.080684 
+L 255.362382 268.159187 
+L 255.497762 268.63231 
+L 255.551914 268.504629 
+L 255.687294 267.752817 
+L 255.741446 267.870095 
+L 255.930978 269.613619 
+L 256.012206 269.168733 
+L 256.174663 267.663908 
+L 256.228815 267.869647 
+L 256.364195 268.610972 
+L 256.391271 268.499784 
+L 256.580803 266.46985 
+L 256.662031 266.92786 
+L 256.824487 268.745066 
+L 256.878639 268.517092 
+L 257.041095 266.874398 
+L 257.095248 267.018302 
+L 257.28478 268.79973 
+L 257.338932 268.516062 
+L 257.55554 266.003808 
+L 257.609692 266.28225 
+L 257.799224 268.225628 
+L 257.853376 267.940738 
+L 258.09706 264.586592 
+L 258.151213 265.011154 
+L 258.394897 268.509055 
+L 258.449049 268.148576 
+L 258.638581 266.268696 
+L 258.692733 266.491209 
+L 258.990569 269.539482 
+L 259.071797 269.07109 
+L 259.315482 266.654873 
+L 259.369634 266.983751 
+L 259.559166 269.093495 
+L 259.613318 268.938452 
+L 259.829926 266.641057 
+L 259.911154 266.967411 
+L 260.07361 267.872628 
+L 260.100686 267.801005 
+L 260.290219 266.841033 
+L 260.344371 266.932299 
+L 260.615131 267.949835 
+L 260.669283 267.913233 
+L 260.804663 267.526632 
+L 260.994195 266.855485 
+L 261.021271 266.87747 
+L 261.156651 267.48213 
+L 261.264955 267.839269 
+L 261.319108 267.772734 
+L 261.616944 266.764043 
+L 261.671096 266.844865 
+L 261.806476 267.631502 
+L 261.968932 268.570695 
+L 261.996008 268.540608 
+L 262.18554 267.541293 
+L 262.266768 267.83652 
+L 262.456301 269.30141 
+L 262.510453 269.054837 
+L 262.699985 267.536572 
+L 262.754137 267.771598 
+L 262.916593 269.066842 
+L 262.970745 268.876053 
+L 263.214429 266.298403 
+L 263.268581 266.672918 
+L 263.48519 269.145266 
+L 263.539342 268.97249 
+L 263.783026 267.276474 
+L 263.837178 267.370549 
+L 263.918406 267.486442 
+L 263.945482 267.448934 
+L 264.080862 266.686783 
+L 264.16209 266.356233 
+L 264.216242 266.442324 
+L 264.459927 267.704331 
+L 264.514079 267.567317 
+L 264.676535 267.096396 
+L 264.703611 267.137431 
+L 264.947295 268.143176 
+L 265.028523 267.884597 
+L 265.272207 265.988419 
+L 265.326359 266.153389 
+L 265.59712 268.477601 
+L 265.678348 268.126859 
+L 265.840804 267.506475 
+L 265.86788 267.516005 
+L 265.976184 267.514454 
+L 266.111564 267.239732 
+L 266.13864 267.294623 
+L 266.246944 268.372914 
+L 266.4094 270.264775 
+L 266.436476 270.177301 
+L 266.571857 268.012026 
+L 266.680161 266.698153 
+L 266.734313 266.838916 
+L 266.923845 268.499112 
+L 267.005073 268.300799 
+L 267.140453 267.882162 
+L 267.167529 267.921032 
+L 267.248757 268.070796 
+L 267.302909 267.952819 
+L 267.492441 266.339603 
+L 267.573669 266.783741 
+L 267.790278 269.588177 
+L 267.817354 269.430073 
+L 268.033962 266.779065 
+L 268.11519 267.01507 
+L 268.223494 267.47198 
+L 268.277646 267.365575 
+L 268.413026 266.889704 
+L 268.440102 266.941388 
+L 268.981623 269.546996 
+L 269.035775 269.325289 
+L 269.252383 266.731377 
+L 269.333611 267.033441 
+L 269.441915 267.607867 
+L 269.468991 267.550901 
+L 269.631447 266.386032 
+L 269.685599 266.6068 
+L 269.875132 268.813393 
+L 269.929284 268.425271 
+L 270.09174 266.204204 
+L 270.145892 266.538284 
+L 270.335424 269.320552 
+L 270.389576 268.699349 
+L 270.606184 264.628434 
+L 270.63326 264.838161 
+L 270.876945 268.492749 
+L 270.958173 268.077415 
+L 271.174781 267.126844 
+L 271.283085 266.720654 
+L 271.445541 265.882091 
+L 271.499693 265.959645 
+L 271.689225 266.680034 
+L 271.743377 266.561091 
+L 271.851682 266.265397 
+L 271.878758 266.314371 
+L 271.987062 267.352115 
+L 272.20367 269.662009 
+L 272.230746 269.568082 
+L 272.555658 267.183068 
+L 272.636886 267.36693 
+L 272.853494 268.870292 
+L 272.988875 269.412288 
+L 273.015951 269.399452 
+L 273.124255 269.046085 
+L 273.449167 267.007605 
+L 273.530395 267.350501 
+L 273.719927 269.064568 
+L 273.774079 268.908643 
+L 273.963612 267.527496 
+L 274.017764 267.769094 
+L 274.207296 269.100399 
+L 274.261448 268.977072 
+L 274.396828 268.5797 
+L 274.45098 268.651914 
+L 274.532208 268.764499 
+L 274.559284 268.734492 
+L 274.72174 268.138396 
+L 274.775892 268.247545 
+L 274.938348 269.185028 
+L 274.992501 268.993521 
+L 275.154957 267.657583 
+L 275.209109 267.846013 
+L 275.371565 269.139577 
+L 275.398641 269.008163 
+L 275.615249 266.187153 
+L 275.696477 266.957462 
+L 275.858933 268.897901 
+L 275.913085 268.744493 
+L 276.048466 268.174761 
+L 276.075542 268.234059 
+L 276.183846 268.58657 
+L 276.210922 268.524948 
+L 276.319226 267.271961 
+L 276.454606 265.920004 
+L 276.481682 266.055447 
+L 276.725366 269.029549 
+L 276.806594 268.321056 
+L 277.023202 266.353617 
+L 277.050278 266.410678 
+L 277.321039 267.663771 
+L 277.402267 267.464205 
+L 277.510571 267.14576 
+L 277.564723 267.216128 
+L 277.754255 268.15204 
+L 277.835483 267.947679 
+L 277.970863 267.287037 
+L 278.025015 267.422337 
+L 278.241624 269.083521 
+L 278.322852 268.752235 
+L 278.53946 267.406699 
+L 278.566536 267.463847 
+L 278.783144 268.46799 
+L 278.837296 268.30852 
+L 279.026828 266.169329 
+L 279.108056 265.748553 
+L 279.162208 265.95267 
+L 279.378817 267.52136 
+L 279.432969 267.432567 
+L 279.649577 267.079544 
+L 279.730805 266.861314 
+L 279.839109 266.396144 
+L 279.893261 266.50872 
+L 280.028641 268.379389 
+L 280.136945 269.314317 
+L 280.164021 269.168233 
+L 280.353554 266.813363 
+L 280.407706 267.153643 
+L 280.597238 269.842406 
+L 280.65139 269.546047 
+L 280.867998 267.237674 
+L 280.92215 267.417511 
+L 281.05753 267.834799 
+L 281.084606 267.810732 
+L 281.165834 267.740813 
+L 281.19291 267.778342 
+L 281.355367 268.347302 
+L 281.409519 268.133964 
+L 281.626127 266.023793 
+L 281.680279 266.300761 
+L 281.896887 268.399801 
+L 281.951039 268.227448 
+L 282.140571 267.231686 
+L 282.194723 267.309057 
+L 282.709168 268.640163 
+L 282.790396 268.403822 
+L 283.061156 266.442112 
+L 283.115308 266.646806 
+L 283.494373 270.262562 
+L 283.602677 270.852961 
+L 283.629753 270.782492 
+L 283.738057 269.508251 
+L 283.927589 267.612587 
+L 283.954665 267.661785 
+L 284.035893 267.83708 
+L 284.062969 267.801711 
+L 284.225425 266.883084 
+L 284.279577 267.146632 
+L 284.46911 270.20971 
+L 284.550338 269.460798 
+L 284.766946 265.059677 
+L 284.821098 265.576286 
+L 285.01063 267.754454 
+L 285.037706 267.708653 
+L 285.118934 267.488597 
+L 285.173086 267.593505 
+L 285.335542 268.395594 
+L 285.362618 268.288672 
+L 285.552151 266.739836 
+L 285.606303 267.045323 
+L 285.795835 268.694585 
+L 285.822911 268.589693 
+L 285.985367 267.641893 
+L 286.039519 267.869234 
+L 286.201975 268.789429 
+L 286.229051 268.706459 
+L 286.472735 267.377519 
+L 286.553963 267.421882 
+L 286.635192 267.204517 
+L 286.824724 266.368732 
+L 286.878876 266.489799 
+L 287.285016 268.554607 
+L 287.366244 268.329094 
+L 287.582852 267.122867 
+L 287.637005 267.192787 
+L 287.961917 268.693205 
+L 288.043145 268.482998 
+L 288.232677 267.557658 
+L 288.286829 267.662694 
+L 288.395133 268.073432 
+L 288.449285 267.973026 
+L 288.638817 266.247529 
+L 288.720046 266.749441 
+L 288.909578 269.163261 
+L 288.936654 269.008483 
+L 289.126186 266.493802 
+L 289.207414 267.104926 
+L 289.36987 269.260577 
+L 289.424022 269.126943 
+L 289.613554 267.732953 
+L 289.667706 267.831248 
+L 289.803087 268.156352 
+L 289.830163 268.126357 
+L 289.965543 267.938098 
+L 289.992619 267.970699 
+L 290.100923 268.161562 
+L 290.155075 268.064361 
+L 290.425835 266.578799 
+L 290.507063 266.778075 
+L 290.831976 267.760709 
+L 290.886128 267.660497 
+L 291.07566 266.354009 
+L 291.129812 266.569967 
+L 291.34642 269.222588 
+L 291.400572 268.740183 
+L 291.590104 265.521741 
+L 291.644256 265.766031 
+L 291.833788 268.27335 
+L 291.887941 267.896131 
+L 292.077473 265.367057 
+L 292.131625 265.851211 
+L 292.321157 269.179357 
+L 292.375309 268.931346 
+L 292.591917 265.483483 
+L 292.646069 265.882699 
+L 292.835601 268.684636 
+L 292.889753 268.535961 
+L 293.025134 267.529786 
+L 293.079286 267.794721 
+L 293.295894 270.41508 
+L 293.350046 270.01748 
+L 293.539578 268.15471 
+L 293.566654 268.21739 
+L 293.702034 268.707963 
+L 293.72911 268.614532 
+L 293.999871 266.343806 
+L 294.135251 266.543636 
+L 294.270631 266.712988 
+L 294.406011 268.016939 
+L 294.541391 269.058706 
+L 294.568467 268.992466 
+L 294.703847 267.611642 
+L 294.893379 266.368277 
+L 294.974607 266.629478 
+L 295.218292 268.791157 
+L 295.29952 268.263878 
+L 295.489052 265.768389 
+L 295.543204 266.145127 
+L 295.732736 268.879715 
+L 295.786888 268.512259 
+L 295.97642 265.538059 
+L 296.057649 266.037707 
+L 296.301333 269.139025 
+L 296.328409 269.059609 
+L 296.599169 267.037715 
+L 296.680397 267.571507 
+L 296.815777 268.840921 
+L 296.869929 268.675046 
+L 297.113614 264.910093 
+L 297.194842 265.705959 
+L 297.41145 268.348348 
+L 297.438526 268.277051 
+L 297.655134 267.826969 
+L 297.736362 267.394817 
+L 297.925894 265.601883 
+L 297.980046 265.862005 
+L 298.142502 267.089315 
+L 298.169579 266.948331 
+L 298.359111 264.941815 
+L 298.413263 265.282553 
+L 298.629871 267.900886 
+L 298.684023 267.835954 
+L 298.738175 267.747826 
+L 298.765251 267.780895 
+L 298.873555 268.596327 
+L 298.981859 269.280262 
+L 299.008935 269.215209 
+L 299.225544 267.451027 
+L 299.333848 267.74608 
+L 299.415076 267.898478 
+L 299.442152 267.862457 
+L 299.550456 267.637512 
+L 299.604608 267.752258 
+L 299.767064 268.492759 
+L 299.79414 268.403326 
+L 300.010748 266.202554 
+L 300.091976 266.647313 
+L 300.308585 268.816118 
+L 300.335661 268.743485 
+L 300.687649 266.476884 
+L 300.795953 266.763401 
+L 301.120865 268.011592 
+L 301.337474 268.115604 
+L 301.36455 268.023993 
+L 301.63531 266.460439 
+L 301.716538 266.644906 
+L 301.824842 266.872867 
+L 301.878994 266.814224 
+L 301.987298 266.624479 
+L 302.04145 266.713223 
+L 302.285134 268.139239 
+L 302.366362 267.864432 
+L 302.528819 266.874152 
+L 302.582971 267.015273 
+L 302.772503 268.304427 
+L 302.799579 268.167711 
+L 302.962035 265.392089 
+L 303.043263 264.828254 
+L 303.070339 265.027057 
+L 303.259871 268.247798 
+L 303.341099 267.430871 
+L 303.530632 263.939183 
+L 303.557708 264.189668 
+L 303.774316 268.038776 
+L 303.828468 267.458017 
+L 303.990924 264.988219 
+L 304.045076 265.261492 
+L 304.234608 267.537559 
+L 304.28876 267.400331 
+L 304.451216 266.454497 
+L 304.505369 266.527205 
+L 304.613673 266.806869 
+L 304.667825 266.717582 
+L 304.857357 265.898762 
+L 304.911509 265.98216 
+L 305.073965 266.449995 
+L 305.101041 266.396166 
+L 305.263497 265.323249 
+L 305.371801 265.010508 
+L 305.398877 265.066156 
+L 305.561334 265.610592 
+L 305.615486 265.508572 
+L 306.021626 263.355292 
+L 306.346538 253.841221 
+L 306.481918 243.046699 
+L 307.185895 153.719778 
+L 307.240047 154.658012 
+L 307.348351 167.489691 
+L 307.889872 255.533397 
+L 308.24186 264.754863 
+L 308.431392 265.791068 
+L 308.485544 265.49458 
+L 308.729229 261.368459 
+L 308.810457 261.993574 
+L 308.972913 263.436029 
+L 308.999989 263.410556 
+L 309.081217 263.262955 
+L 309.108293 263.298262 
+L 309.216597 264.096061 
+L 309.406129 265.117459 
+L 309.487357 265.308341 
+L 309.676889 266.428173 
+L 309.731041 266.307793 
+L 309.81227 266.019324 
+L 309.839346 266.061226 
+L 309.920574 266.978724 
+L 310.08303 269.512683 
+L 310.137182 269.086802 
+L 310.299638 266.371857 
+L 310.35379 266.732309 
+L 310.516246 269.435252 
+L 310.570398 268.848941 
+L 310.75993 263.912402 
+L 310.841159 264.753983 
+L 311.003615 267.974556 
+L 311.057767 267.699619 
+L 311.193147 266.094758 
+L 311.247299 266.321446 
+L 311.436831 268.965416 
+L 311.490983 268.683582 
+L 311.653439 266.615269 
+L 311.707591 266.80247 
+L 311.9242 269.913219 
+L 312.005428 269.162292 
+L 312.222036 265.780584 
+L 312.276188 266.062475 
+L 312.46572 267.794434 
+L 312.519872 267.708788 
+L 312.790632 266.98763 
+L 312.926013 266.7649 
+L 312.980165 266.892811 
+L 313.196773 268.685899 
+L 313.250925 268.179923 
+L 313.440457 264.739646 
+L 313.494609 265.059943 
+L 313.711217 268.703201 
+L 313.765369 268.391127 
+L 313.873673 267.527573 
+L 313.927825 267.721041 
+L 314.090282 269.087959 
+L 314.117358 268.923226 
+L 314.333966 266.009332 
+L 314.415194 266.652821 
+L 314.523498 267.362942 
+L 314.550574 267.223341 
+L 314.740106 265.309259 
+L 314.794258 265.727603 
+L 314.956714 267.65738 
+L 315.010866 267.519982 
+L 315.119171 266.869235 
+L 315.173323 267.058699 
+L 315.335779 268.908865 
+L 315.389931 268.692085 
+L 315.606539 265.388018 
+L 315.660691 265.925394 
+L 315.850223 269.006497 
+L 315.904375 268.573881 
+L 316.14806 264.844049 
+L 316.202212 265.207847 
+L 316.581276 268.545088 
+L 316.68958 268.741908 
+L 316.716656 268.687716 
+L 316.852036 267.74317 
+L 317.014492 266.912106 
+L 317.041568 266.943991 
+L 317.149873 267.149673 
+L 317.204025 267.050893 
+L 317.393557 266.083292 
+L 317.447709 266.274905 
+L 317.664317 268.039734 
+L 317.718469 267.819568 
+L 317.935077 266.227204 
+L 317.989229 266.319846 
+L 318.341218 268.024193 
+L 318.449522 268.575195 
+L 318.503674 268.416564 
+L 318.747358 266.043536 
+L 318.828586 266.505763 
+L 319.099346 268.809804 
+L 319.126422 268.796994 
+L 319.234727 268.472161 
+L 319.397183 266.96335 
+L 319.559639 265.534452 
+L 319.586715 265.634247 
+L 319.722095 267.669733 
+L 319.857475 269.118463 
+L 319.884551 269.021421 
+L 320.128235 266.870078 
+L 320.209463 267.212774 
+L 320.317768 267.542873 
+L 320.344844 267.503793 
+L 320.5073 267.086236 
+L 320.561452 267.165806 
+L 320.669756 267.32755 
+L 320.696832 267.289254 
+L 320.832212 266.903305 
+L 320.886364 267.01436 
+L 321.102972 268.338011 
+L 321.157124 268.15824 
+L 321.265428 267.734016 
+L 321.31958 267.869157 
+L 321.454961 268.466177 
+L 321.482037 268.357838 
+L 321.671569 266.229734 
+L 321.752797 266.953351 
+L 321.915253 269.397623 
+L 321.942329 269.227803 
+L 322.131861 265.762753 
+L 322.213089 266.399209 
+L 322.375545 268.537938 
+L 322.402622 268.345074 
+L 322.565078 266.287199 
+L 322.61923 266.545942 
+L 322.75461 268.060712 
+L 322.808762 267.868264 
+L 322.971218 265.942573 
+L 323.02537 266.281774 
+L 323.187826 268.687436 
+L 323.241978 268.470305 
+L 323.404434 266.292996 
+L 323.458587 266.503785 
+L 323.648119 268.846577 
+L 323.702271 268.540829 
+L 323.891803 266.7086 
+L 323.945955 266.889671 
+L 324.081335 267.54374 
+L 324.135487 267.45467 
+L 324.325019 266.774456 
+L 324.352095 266.826285 
+L 324.487475 267.736576 
+L 324.758236 269.456011 
+L 324.893616 269.185235 
+L 325.028996 268.620621 
+L 325.245604 266.111268 
+L 325.326832 266.71438 
+L 325.516364 270.718811 
+L 325.597593 269.96673 
+L 325.814201 265.695563 
+L 325.841277 265.871722 
+L 326.030809 267.746334 
+L 326.084961 267.440281 
+L 326.220341 266.64217 
+L 326.247417 266.709851 
+L 326.436949 267.641093 
+L 326.491101 267.500094 
+L 326.572329 267.27686 
+L 326.626482 267.376372 
+L 326.788938 268.197269 
+L 326.84309 267.987341 
+L 327.086774 265.501819 
+L 327.168002 266.016015 
+L 327.438762 269.784426 
+L 327.51999 269.383069 
+L 327.709523 267.650097 
+L 327.736599 267.72868 
+L 327.899055 268.756457 
+L 327.953207 268.5275 
+L 328.115663 267.203584 
+L 328.169815 267.527893 
+L 328.359347 269.602215 
+L 328.413499 269.241801 
+L 328.603031 267.370568 
+L 328.657183 267.487695 
+L 328.738412 267.712953 
+L 328.792564 267.61115 
+L 328.900868 267.183355 
+L 328.95502 267.356205 
+L 329.117476 269.05176 
+L 329.171628 268.833137 
+L 329.388236 264.579746 
+L 329.469464 265.384184 
+L 329.713148 270.255013 
+L 329.767301 270.054031 
+L 330.200517 267.445293 
+L 330.281745 267.408801 
+L 330.308821 267.436344 
+L 330.633733 268.052309 
+L 330.714961 268.142383 
+L 330.742037 268.099714 
+L 330.93157 267.504974 
+L 330.985722 267.719604 
+L 331.175254 268.967313 
+L 331.20233 268.878435 
+L 331.33771 267.240282 
+L 331.47309 266.13114 
+L 331.500166 266.190246 
+L 331.74385 267.827072 
+L 331.852154 267.575215 
+L 331.960459 267.295402 
+L 331.987535 267.322541 
+L 332.095839 267.881482 
+L 332.285371 268.853551 
+L 332.312447 268.830826 
+L 332.501979 268.153533 
+L 332.772739 267.402286 
+L 332.826891 267.489436 
+L 333.0435 268.688629 
+L 333.124728 268.358741 
+L 333.31426 267.22629 
+L 333.341336 267.2622 
+L 333.44964 267.467723 
+L 333.476716 267.418661 
+L 333.639172 266.495212 
+L 333.693324 266.642157 
+L 333.909932 269.423806 
+L 333.991161 268.769844 
+L 334.153617 266.681491 
+L 334.180693 266.806862 
+L 334.370225 269.495418 
+L 334.451453 268.88915 
+L 334.613909 266.432517 
+L 334.668061 266.754547 
+L 334.884669 269.877913 
+L 334.938821 269.474159 
+L 335.15543 267.378508 
+L 335.182506 267.450876 
+L 335.588646 269.237173 
+L 335.642798 269.108451 
+L 335.778178 267.080634 
+L 335.886482 265.744378 
+L 335.940634 265.90265 
+L 336.157243 268.141291 
+L 336.238471 267.902274 
+L 336.319699 267.684664 
+L 336.373851 267.792423 
+L 336.482155 268.093165 
+L 336.509231 268.039046 
+L 336.671687 267.002867 
+L 336.752915 267.419912 
+L 336.915371 269.355258 
+L 336.969523 269.114722 
+L 337.159056 266.984288 
+L 337.213208 267.457434 
+L 337.375664 269.571448 
+L 337.429816 269.299132 
+L 337.619348 267.064401 
+L 337.6735 267.172859 
+L 337.835956 267.907783 
+L 337.890108 267.791744 
+L 337.998412 267.558067 
+L 338.025488 267.59162 
+L 338.242097 268.112539 
+L 338.296249 268.06833 
+L 338.404553 268.142195 
+L 338.512857 268.274352 
+L 338.539933 268.233725 
+L 338.702389 267.80804 
+L 338.729465 267.874727 
+L 338.891921 268.705835 
+L 338.946073 268.432385 
+L 339.135605 266.00403 
+L 339.216833 266.467852 
+L 339.406366 268.397412 
+L 339.433442 268.31352 
+L 339.541746 267.856108 
+L 339.595898 268.042718 
+L 339.731278 269.114075 
+L 339.78543 268.937117 
+L 339.974962 266.457729 
+L 340.05619 266.931336 
+L 340.218646 268.57315 
+L 340.245722 268.497794 
+L 340.408179 267.599073 
+L 340.435255 267.691359 
+L 340.570635 268.557048 
+L 340.624787 268.384428 
+L 340.814319 266.475868 
+L 340.868471 266.763415 
+L 341.058003 268.751452 
+L 341.112155 268.63018 
+L 341.247535 268.073128 
+L 341.301687 268.193033 
+L 341.409992 268.518415 
+L 341.437068 268.478854 
+L 341.599524 267.604382 
+L 341.680752 267.936518 
+L 341.870284 269.8288 
+L 341.924436 269.582385 
+L 342.16812 267.04479 
+L 342.222272 267.27537 
+L 342.520109 269.42566 
+L 342.574261 269.333486 
+L 342.709641 268.362899 
+L 342.953325 266.131674 
+L 342.980401 266.230409 
+L 343.142857 268.298859 
+L 343.197009 268.699315 
+L 343.251161 268.483104 
+L 343.46777 264.88669 
+L 343.548998 265.651356 
+L 343.73853 268.987735 
+L 343.792682 268.726232 
+L 343.955138 267.18269 
+L 344.00929 267.398634 
+L 344.14467 268.347449 
+L 344.198822 268.218725 
+L 344.334202 267.449119 
+L 344.388354 267.644766 
+L 344.550811 268.908318 
+L 344.604963 268.623028 
+L 344.767419 267.005421 
+L 344.821571 267.308033 
+L 344.984027 269.326087 
+L 345.038179 269.100209 
+L 345.227711 266.444705 
+L 345.308939 267.018065 
+L 345.444319 268.723645 
+L 345.498471 268.509137 
+L 345.742156 264.697526 
+L 345.823384 265.572542 
+L 346.039992 268.927561 
+L 346.094144 268.770727 
+L 346.310752 267.25453 
+L 346.364904 267.449061 
+L 346.500284 268.075123 
+L 346.554436 267.956925 
+L 346.716893 267.234041 
+L 346.743969 267.322637 
+L 346.933501 268.802919 
+L 346.987653 268.490113 
+L 347.204261 265.49638 
+L 347.258413 265.805367 
+L 347.420869 267.586305 
+L 347.475021 267.39855 
+L 347.664553 265.555538 
+L 347.718706 265.691189 
+L 347.854086 266.402093 
+L 347.908238 266.306454 
+L 348.043618 265.823579 
+L 348.070694 265.90798 
+L 348.530986 268.17291 
+L 348.666366 268.760403 
+L 348.720518 268.654259 
+L 348.910051 267.766572 
+L 348.964203 267.891782 
+L 349.072507 268.234735 
+L 349.126659 268.137085 
+L 349.370343 266.788847 
+L 349.451571 266.897045 
+L 349.80356 267.906949 
+L 350.047244 268.866175 
+L 350.128472 268.559814 
+L 350.372156 266.064662 
+L 350.453384 266.459181 
+L 350.642916 268.286417 
+L 350.697068 268.053042 
+L 350.805372 267.374563 
+L 350.859525 267.510338 
+L 351.021981 269.020452 
+L 351.103209 268.605289 
+L 351.265665 266.810863 
+L 351.319817 266.958652 
+L 351.455197 267.744181 
+L 351.482273 267.675644 
+L 351.617653 266.776738 
+L 351.671805 267.015797 
+L 351.888414 270.14706 
+L 351.942566 269.602383 
+L 352.105022 267.109178 
+L 352.159174 267.357986 
+L 352.348706 269.430168 
+L 352.402858 269.236797 
+L 352.538238 268.662507 
+L 352.565314 268.716702 
+L 352.673618 269.002753 
+L 352.700694 268.943092 
+L 352.917302 267.414084 
+L 352.998531 267.805789 
+L 353.106835 268.324402 
+L 353.133911 268.281545 
+L 353.296367 267.511485 
+L 353.350519 267.65179 
+L 353.512975 268.380703 
+L 353.540051 268.306032 
+L 353.702507 267.632523 
+L 353.729583 267.705588 
+L 353.892039 268.414842 
+L 353.919115 268.318342 
+L 354.108648 266.871076 
+L 354.189876 267.225788 
+L 354.325256 268.054537 
+L 354.379408 267.964406 
+L 354.487712 267.648458 
+L 354.514788 267.698367 
+L 354.731396 269.05074 
+L 354.812624 268.664922 
+L 354.948004 267.896671 
+L 355.002156 267.962303 
+L 355.191689 268.475566 
+L 355.218765 268.446834 
+L 355.462449 267.880148 
+L 355.624905 267.277411 
+L 355.679057 267.352783 
+L 355.841513 267.959303 
+L 355.895665 267.777558 
+L 356.085197 266.501411 
+L 356.13935 266.657166 
+L 356.437186 267.926046 
+L 356.54549 268.414662 
+L 356.653794 268.849391 
+L 356.68087 268.788785 
+L 356.81625 267.463857 
+L 356.924554 266.694322 
+L 356.978706 266.791746 
+L 357.141162 267.455798 
+L 357.195315 267.317156 
+L 357.357771 266.695676 
+L 357.384847 266.745293 
+L 357.520227 267.754216 
+L 357.682683 268.825272 
+L 357.709759 268.819607 
+L 357.818063 268.27726 
+L 357.980519 267.501051 
+L 358.007595 267.529998 
+L 358.142975 267.78476 
+L 358.170051 267.71281 
+L 358.332508 266.267272 
+L 358.413736 265.884136 
+L 358.467888 266.021083 
+L 358.738648 266.925893 
+L 358.846952 267.735769 
+L 358.982332 268.926029 
+L 359.009408 268.860477 
+L 359.144788 267.013288 
+L 359.226016 266.293068 
+L 359.280169 266.582145 
+L 359.469701 268.990614 
+L 359.523853 268.800358 
+L 359.713385 267.314489 
+L 359.767537 267.367484 
+L 359.821689 267.416279 
+L 359.848765 267.365541 
+L 359.984145 266.277467 
+L 360.065373 265.953808 
+L 360.092449 266.075772 
+L 360.309057 268.44918 
+L 360.390286 267.984267 
+L 360.525666 266.875184 
+L 360.579818 267.036926 
+L 360.76935 268.501132 
+L 360.823502 268.313612 
+L 361.094262 266.406666 
+L 361.148414 266.540799 
+L 361.31087 267.827088 
+L 361.500403 269.67712 
+L 361.554555 269.539574 
+L 361.717011 267.112958 
+L 361.798239 266.374531 
+L 361.852391 266.573873 
+L 362.041923 268.755608 
+L 362.123151 268.311033 
+L 362.285607 266.610523 
+L 362.339759 266.763419 
+L 362.502216 267.824252 
+L 362.529292 267.737843 
+L 362.718824 266.124432 
+L 362.800052 266.43659 
+L 362.962508 267.515799 
+L 363.01666 267.404959 
+L 363.124964 267.086244 
+L 363.15204 267.125897 
+L 363.395724 268.374703 
+L 363.476953 268.115544 
+L 363.856017 266.454363 
+L 363.883093 266.538654 
+L 363.991397 267.904913 
+L 364.126777 269.575488 
+L 364.180929 269.318234 
+L 364.370461 267.165674 
+L 364.424613 267.454289 
+L 364.559994 268.704582 
+L 364.614146 268.497962 
+L 364.830754 266.018016 
+L 364.884906 266.404487 
+L 365.101514 268.474178 
+L 365.12859 268.41279 
+L 365.39935 266.843863 
+L 365.561806 265.669265 
+L 365.615959 265.865248 
+L 365.778415 268.650366 
+L 365.886719 269.628412 
+L 365.913795 269.514794 
+L 366.211631 266.569278 
+L 366.347011 266.595869 
+L 366.482391 266.424819 
+L 366.509467 266.462396 
+L 366.726076 267.319405 
+L 366.780228 267.156031 
+L 367.050988 265.335027 
+L 367.132216 265.529229 
+L 367.321748 267.028089 
+L 367.457128 267.846305 
+L 367.484204 267.824379 
+L 367.592508 267.123744 
+L 367.700813 266.588623 
+L 367.727889 266.68105 
+L 367.890345 268.70053 
+L 367.944497 269.066417 
+L 367.998649 268.864466 
+L 368.215257 266.07649 
+L 368.296485 266.610974 
+L 368.486017 268.488966 
+L 368.513093 268.444607 
+L 369.135842 266.243144 
+L 369.21707 266.328625 
+L 369.541982 267.457851 
+L 369.62321 267.232038 
+L 369.839819 265.9478 
+L 369.893971 266.083476 
+L 370.110579 267.331988 
+L 370.164731 267.163605 
+L 370.327187 266.396003 
+L 370.354263 266.484953 
+L 370.489643 268.217788 
+L 370.625023 269.751478 
+L 370.679175 269.626293 
+L 371.085316 267.194938 
+L 371.19362 267.083881 
+L 371.220696 267.115562 
+L 371.329 267.740472 
+L 371.46438 268.577651 
+L 371.491456 268.531365 
+L 371.59976 267.559099 
+L 371.789292 266.27616 
+L 371.951749 266.66564 
+L 372.060053 267.239717 
+L 372.303737 270.008603 
+L 372.357889 269.733378 
+L 372.682801 266.488646 
+L 372.736953 266.533365 
+L 372.845257 266.941965 
+L 373.007714 269.181838 
+L 373.116018 270.152187 
+L 373.143094 270.053806 
+L 373.278474 267.972416 
+L 373.386778 266.852676 
+L 373.44093 267.050705 
+L 373.603386 268.405721 
+L 373.657538 268.264202 
+L 373.928298 265.674491 
+L 374.009527 265.997244 
+L 374.388591 268.17429 
+L 374.551047 268.594139 
+L 374.605199 268.471611 
+L 374.713503 267.21381 
+L 374.875959 265.112957 
+L 374.930111 265.295248 
+L 375.200872 268.301959 
+L 375.2821 268.118747 
+L 375.41748 267.923627 
+L 375.444556 267.942941 
+L 375.579936 267.942615 
+L 375.661164 267.930569 
+L 375.68824 267.979751 
+L 375.904848 268.838645 
+L 375.959 268.65924 
+L 376.175609 267.321189 
+L 376.229761 267.410702 
+L 376.419293 267.847126 
+L 376.446369 267.82189 
+L 376.581749 267.764036 
+L 376.608825 267.789494 
+L 376.690053 267.805153 
+L 376.717129 267.751858 
+L 376.906661 266.924763 
+L 376.960813 267.094529 
+L 377.204498 269.537235 
+L 377.285726 269.174534 
+L 377.421106 268.417731 
+L 377.448182 268.467554 
+L 377.610638 269.266238 
+L 377.66479 269.052504 
+L 377.854322 267.380256 
+L 377.908474 267.62732 
+L 378.098006 269.381199 
+L 378.152158 269.161034 
+L 378.341691 267.9319 
+L 378.368767 268.002423 
+L 378.504147 268.500364 
+L 378.558299 268.352052 
+L 379.045667 265.997831 
+L 379.099819 266.113687 
+L 379.316428 268.166977 
+L 379.397656 267.626326 
+L 379.50596 266.809754 
+L 379.560112 267.042187 
+L 379.722568 268.780316 
+L 379.77672 268.575687 
+L 379.966252 266.275877 
+L 380.04748 266.667207 
+L 380.18286 267.725109 
+L 380.237012 267.608883 
+L 380.399469 266.836381 
+L 380.453621 266.965176 
+L 380.616077 267.406366 
+L 380.643153 267.377937 
+L 380.724381 267.324413 
+L 380.751457 267.373939 
+L 380.913913 268.36978 
+L 381.049293 268.711861 
+L 381.076369 268.69291 
+L 381.238825 268.426111 
+L 381.48251 267.048856 
+L 381.563738 267.491481 
+L 381.672042 268.093072 
+L 381.699118 268.013789 
+L 381.88865 266.064261 
+L 381.969878 266.757533 
+L 382.132334 269.151878 
+L 382.186486 268.759557 
+L 382.376018 266.107222 
+L 382.43017 266.455143 
+L 382.565551 267.696266 
+L 382.619703 267.441073 
+L 382.809235 265.649935 
+L 382.863387 265.846436 
+L 383.079995 266.580522 
+L 383.134147 266.699284 
+L 383.296603 268.306175 
+L 383.350755 268.581381 
+L 383.404907 268.35269 
+L 383.59444 266.192447 
+L 383.648592 266.381867 
+L 384.00058 269.721738 
+L 384.054732 269.665428 
+L 384.190112 269.122676 
+L 384.515024 267.737659 
+L 384.704557 267.171188 
+L 384.921165 266.646214 
+L 384.948241 266.687143 
+L 385.056545 267.429557 
+L 385.273153 269.551196 
+L 385.300229 269.47725 
+L 385.787598 267.045259 
+L 385.84175 267.132911 
+L 386.031282 268.391266 
+L 386.085434 268.135412 
+L 386.274966 266.009525 
+L 386.329118 266.478785 
+L 386.51865 269.859788 
+L 386.572802 269.62762 
+L 386.789411 266.547685 
+L 386.843563 266.814711 
+L 387.060171 268.557927 
+L 387.087247 268.500667 
+L 387.276779 267.288352 
+L 387.439235 266.621563 
+L 387.466311 266.636649 
+L 387.682919 267.235151 
+L 387.791224 267.037652 
+L 387.845376 266.981463 
+L 387.899528 267.06481 
+L 388.034908 267.442995 
+L 388.08906 267.334068 
+L 388.251516 266.646852 
+L 388.278592 266.724175 
+L 388.468124 268.307906 
+L 388.549352 267.770658 
+L 388.738884 264.866385 
+L 388.793037 265.088884 
+L 389.036721 268.945574 
+L 389.117949 268.356364 
+L 389.334557 265.720802 
+L 389.361633 265.784862 
+L 389.551165 267.590439 
+L 389.957306 270.048344 
+L 389.984382 270.004802 
+L 390.092686 268.869814 
+L 390.282218 267.185885 
+L 390.309294 267.247952 
+L 390.769586 268.704954 
+L 390.823738 268.537115 
+L 391.013271 267.224576 
+L 391.067423 267.477362 
+L 391.229879 268.741682 
+L 391.284031 268.469224 
+L 391.473563 266.621473 
+L 391.527715 266.854354 
+L 391.690171 267.893952 
+L 391.717247 267.787338 
+L 391.879703 266.535013 
+L 391.933856 266.708242 
+L 392.123388 268.545603 
+L 392.17754 268.2822 
+L 392.367072 266.351274 
+L 392.421224 266.760116 
+L 392.610756 269.569797 
+L 392.664908 269.372366 
+L 392.881516 266.482523 
+L 392.935668 266.828941 
+L 393.125201 269.127621 
+L 393.179353 268.889965 
+L 393.341809 267.439165 
+L 393.395961 267.635376 
+L 393.558417 268.990102 
+L 393.612569 268.768904 
+L 393.802101 266.808596 
+L 393.856253 266.961243 
+L 394.045786 268.312217 
+L 394.099938 268.152624 
+L 394.208242 267.752036 
+L 394.235318 267.812292 
+L 394.370698 269.212008 
+L 394.451926 269.829753 
+L 394.506078 269.641073 
+L 394.722686 266.99584 
+L 394.803914 267.586595 
+L 394.993446 269.924533 
+L 395.020522 269.817079 
+L 395.182979 267.251514 
+L 395.291283 266.474995 
+L 395.318359 266.578517 
+L 395.480815 267.728105 
+L 395.534967 267.609368 
+L 395.724499 266.199692 
+L 395.805727 266.513521 
+L 396.076487 268.241789 
+L 396.103563 268.228206 
+L 396.347248 267.918411 
+L 396.80754 266.4454 
+L 396.888768 266.573562 
+L 397.024148 267.646064 
+L 397.186605 268.696262 
+L 397.213681 268.668491 
+L 397.376137 268.226581 
+L 397.430289 268.351102 
+L 397.538593 268.689004 
+L 397.565669 268.632479 
+L 397.673973 267.353975 
+L 397.836429 265.130662 
+L 397.863505 265.253026 
+L 397.998885 268.032122 
+L 398.107189 269.668969 
+L 398.161341 269.370121 
+L 398.350874 266.627219 
+L 398.405026 266.808364 
+L 398.540406 268.00848 
+L 398.594558 267.869245 
+L 398.78409 266.147045 
+L 398.838242 266.531261 
+L 399.000698 268.181386 
+L 399.05485 267.886676 
+L 399.19023 266.598053 
+L 399.244382 266.820859 
+L 399.433915 269.240101 
+L 399.488067 268.927894 
+L 399.677599 266.419202 
+L 399.731751 266.637694 
+L 399.975435 268.722837 
+L 400.029587 268.630208 
+L 400.246195 267.946491 
+L 400.435728 266.69221 
+L 400.462804 266.797714 
+L 400.679412 269.203834 
+L 400.76064 268.683249 
+L 400.950172 266.368015 
+L 401.004324 266.501534 
+L 401.248008 267.962798 
+L 401.30216 267.891679 
+L 401.383388 267.818982 
+L 401.410465 267.842448 
+L 401.545845 268.298725 
+L 401.762453 269.040447 
+L 401.789529 269.00882 
+L 401.897833 268.281943 
+L 402.087365 266.35976 
+L 402.141517 266.474522 
+L 402.412277 268.85392 
+L 402.493506 268.541646 
+L 402.655962 268.092796 
+L 402.683038 268.111184 
+L 402.791342 268.131325 
+L 402.818418 268.096572 
+L 402.926722 267.981226 
+L 402.953798 268.011082 
+L 403.14333 268.53299 
+L 403.197482 268.349617 
+L 403.441166 266.945251 
+L 403.495318 266.998239 
+L 403.549471 266.987619 
+L 403.657775 266.392098 
+L 403.766079 265.831444 
+L 403.793155 265.897088 
+L 403.928535 267.46974 
+L 404.063915 268.424023 
+L 404.090991 268.366087 
+L 404.199295 268.093188 
+L 404.226371 268.150292 
+L 404.361751 268.871527 
+L 404.415903 268.73088 
+L 404.605436 266.375142 
+L 404.686664 267.029417 
+L 404.84912 269.684704 
+L 404.903272 269.278796 
+L 405.092804 265.771683 
+L 405.174032 266.244282 
+L 405.282336 267.288437 
+L 405.336488 267.080631 
+L 405.498944 265.368808 
+L 405.553096 265.704256 
+L 405.742629 267.960079 
+L 405.796781 267.567137 
+L 405.959237 266.157282 
+L 405.986313 266.286661 
+L 406.175845 267.791493 
+L 406.229997 267.594608 
+L 406.338301 267.059939 
+L 406.392453 267.150014 
+L 406.581985 268.031932 
+L 406.636137 267.904068 
+L 406.717366 267.723953 
+L 406.771518 267.83175 
+L 406.906898 268.290003 
+L 406.933974 268.187935 
+L 407.09643 266.09831 
+L 407.150582 265.713381 
+L 407.204734 265.900433 
+L 407.421342 268.265519 
+L 407.475494 268.003489 
+L 407.63795 266.93236 
+L 407.692102 267.044954 
+L 407.773331 267.292329 
+L 407.827483 267.206622 
+L 407.989939 266.27056 
+L 408.044091 266.52449 
+L 408.260699 269.479484 
+L 408.341927 268.898694 
+L 408.531459 266.371956 
+L 408.585611 266.617491 
+L 408.80222 268.643063 
+L 408.856372 268.333904 
+L 409.127132 265.867083 
+L 409.181284 266.048878 
+L 409.452044 268.53525 
+L 409.560348 267.983875 
+L 409.74988 266.499586 
+L 409.776956 266.544485 
+L 409.939413 267.122184 
+L 409.993565 266.962401 
+L 410.128945 266.378331 
+L 410.156021 266.431536 
+L 410.291401 267.65111 
+L 410.372629 268.134301 
+L 410.426781 267.983163 
+L 410.589237 267.036667 
+L 410.616313 267.151282 
+L 410.832921 269.333654 
+L 410.91415 268.71421 
+L 411.076606 267.048607 
+L 411.103682 267.10161 
+L 411.32029 268.793342 
+L 411.401518 268.473745 
+L 411.563974 267.610887 
+L 411.618126 267.671308 
+L 411.753506 267.956267 
+L 411.807658 267.87858 
+L 412.295027 266.384406 
+L 412.349179 266.425433 
+L 412.592863 267.144221 
+L 412.755319 267.888717 
+L 412.971927 269.215745 
+L 412.999004 269.183432 
+L 413.107308 268.529092 
+L 413.350992 267.211458 
+L 413.540524 267.160068 
+L 413.675904 267.371061 
+L 413.946664 268.264876 
+L 414.082045 268.843081 
+L 414.136197 268.721706 
+L 414.352805 266.821381 
+L 414.434033 267.143027 
+L 414.569413 268.259942 
+L 414.623565 268.113408 
+L 414.813097 266.3283 
+L 414.867249 266.729711 
+L 415.083857 269.860047 
+L 415.13801 269.595405 
+L 415.381694 267.652311 
+L 415.40877 267.661257 
+L 415.598302 267.862617 
+L 415.733682 268.926617 
+L 415.841986 269.534236 
+L 415.869062 269.444756 
+L 416.004442 267.648006 
+L 416.221051 265.843543 
+L 416.329355 266.193851 
+L 416.600115 268.290161 
+L 416.681343 267.805782 
+L 416.843799 266.230102 
+L 416.897951 266.373612 
+L 417.087483 267.74786 
+L 417.141635 267.651465 
+L 417.222864 267.455887 
+L 417.24994 267.498526 
+L 417.358244 268.372755 
+L 417.466548 268.989069 
+L 417.493624 268.855997 
+L 417.737308 265.933715 
+L 417.818536 266.698321 
+L 418.089296 270.187424 
+L 418.116372 270.132726 
+L 418.224676 268.939742 
+L 418.441285 265.901098 
+L 418.468361 265.994305 
+L 418.684969 267.934674 
+L 418.739121 267.598303 
+L 418.901577 266.280694 
+L 418.928653 266.348492 
+L 419.470174 269.00351 
+L 419.524326 268.871265 
+L 419.76801 266.815865 
+L 419.822162 267.110478 
+L 419.984618 268.467198 
+L 420.03877 268.321614 
+L 420.282454 265.608505 
+L 420.363683 266.111844 
+L 420.553215 268.22706 
+L 420.607367 268.07454 
+L 420.769823 266.983401 
+L 420.823975 267.206324 
+L 421.013507 268.870778 
+L 421.067659 268.729202 
+L 421.527952 265.91582 
+L 421.555028 265.921133 
+L 421.636256 266.629089 
+L 421.798712 268.589691 
+L 421.852864 268.323512 
+L 421.988244 267.006258 
+L 422.042396 267.32311 
+L 422.231928 270.274883 
+L 422.28608 269.767378 
+L 422.448536 266.684863 
+L 422.502689 266.927774 
+L 422.692221 269.947509 
+L 422.746373 269.492167 
+L 422.881753 267.647269 
+L 422.935905 267.987836 
+L 423.125437 270.953073 
+L 423.152513 270.707536 
+L 423.369121 265.983898 
+L 423.450349 266.644564 
+L 423.612806 268.55392 
+L 423.639882 268.412691 
+L 423.802338 266.816432 
+L 423.85649 267.033096 
+L 424.046022 269.045009 
+L 424.100174 268.721488 
+L 424.289706 266.427967 
+L 424.343858 266.700735 
+L 424.53339 269.050432 
+L 424.587543 268.762618 
+L 424.831227 264.818815 
+L 424.939531 265.405003 
+L 425.183215 266.754049 
+L 425.318595 268.051927 
+L 425.481051 269.459281 
+L 425.508127 269.395895 
+L 425.887192 266.810755 
+L 426.049648 265.362006 
+L 426.076724 265.475536 
+L 426.185028 267.325692 
+L 426.347484 269.876955 
+L 426.37456 269.793322 
+L 426.591168 267.599689 
+L 426.672396 267.974812 
+L 426.780701 268.550439 
+L 426.834853 268.402011 
+L 427.051461 267.11873 
+L 427.105613 267.267191 
+L 427.186841 267.474749 
+L 427.240993 267.347506 
+L 427.430525 265.987155 
+L 427.511753 266.298029 
+L 427.728361 268.237215 
+L 427.782514 268.08324 
+L 427.999122 267.048046 
+L 428.026198 267.087936 
+L 428.161578 267.287788 
+L 428.188654 267.235815 
+L 428.378186 266.525135 
+L 428.432338 266.610318 
+L 428.62187 267.359199 
+L 428.676022 267.202311 
+L 428.865555 266.156274 
+L 428.919707 266.306603 
+L 429.163391 267.98732 
+L 429.244619 267.849099 
+L 429.325847 267.707771 
+L 429.352923 267.738448 
+L 429.488303 268.460308 
+L 429.569531 268.727857 
+L 429.596607 268.679364 
+L 429.731987 267.516363 
+L 429.867368 266.741083 
+L 429.894444 266.80922 
+L 430.083976 267.788649 
+L 430.138128 267.680669 
+L 430.32766 266.850086 
+L 430.381812 266.981613 
+L 430.571344 267.751053 
+L 430.625496 267.660713 
+L 431.058713 265.777564 
+L 431.194093 265.136046 
+L 431.221169 265.174507 
+L 431.329473 265.970155 
+L 431.627309 268.128347 
+L 431.735613 268.193366 
+L 431.870993 268.836606 
+L 431.979298 269.23796 
+L 432.006374 269.181443 
+L 432.114678 268.171815 
+L 432.277134 266.602911 
+L 432.30421 266.668979 
+L 432.43959 268.214911 
+L 432.520818 268.849186 
+L 432.57497 268.646276 
+L 432.818654 265.723069 
+L 432.872806 266.041871 
+L 433.089415 267.947971 
+L 433.116491 267.857258 
+L 433.333099 266.624085 
+L 433.387251 266.796644 
+L 433.712163 268.105377 
+L 433.874619 268.271519 
+L 433.901695 268.244628 
+L 434.009999 267.792467 
+L 434.172456 266.989863 
+L 434.226608 267.047856 
+L 434.443216 267.783837 
+L 434.524444 267.717125 
+L 434.605672 267.734019 
+L 434.795204 268.173955 
+L 434.82228 268.111892 
+L 435.038888 267.064673 
+L 435.120117 267.296708 
+L 435.228421 267.634151 
+L 435.282573 267.539519 
+L 435.417953 267.119121 
+L 435.445029 267.163152 
+L 435.607485 267.949183 
+L 435.661637 267.753339 
+L 435.878245 265.502307 
+L 435.932397 265.903176 
+L 436.121929 268.075586 
+L 436.149005 267.933252 
+L 436.39269 264.981022 
+L 436.473918 265.558617 
+L 436.717602 267.417625 
+L 436.79883 267.220029 
+L 437.042514 266.215563 
+L 437.06959 266.274175 
+L 437.313275 267.531565 
+L 437.421579 267.378768 
+L 437.502807 267.327539 
+L 437.529883 267.358917 
+L 437.638187 267.491121 
+L 437.665263 267.461693 
+L 437.881871 266.739036 
+L 437.963099 266.935399 
+L 438.044327 267.109401 
+L 438.071403 267.079533 
+L 438.260935 266.319969 
+L 438.315088 266.550892 
+L 438.50462 268.060337 
+L 438.558772 267.917756 
+L 438.748304 266.936943 
+L 438.802456 267.018781 
+L 438.856608 267.094675 
+L 438.91076 266.99463 
+L 439.073216 266.13015 
+L 439.127368 266.326243 
+L 439.3169 268.310118 
+L 439.371053 268.083242 
+L 439.587661 265.285768 
+L 439.641813 265.622352 
+L 439.885497 268.699183 
+L 439.939649 268.482874 
+L 440.075029 267.706136 
+L 440.129181 267.852854 
+L 440.318713 269.457843 
+L 440.399942 269.058999 
+L 440.61655 266.627201 
+L 440.670702 266.942357 
+L 440.88731 268.83723 
+L 440.914386 268.767094 
+L 441.185146 267.026969 
+L 441.374678 265.268379 
+L 441.428831 265.4396 
+L 441.645439 267.661023 
+L 441.699591 267.329469 
+L 441.807895 266.535781 
+L 441.834971 266.626352 
+L 441.943275 268.632109 
+L 442.078655 271.106864 
+L 442.132807 270.76802 
+L 442.349415 267.055205 
+L 442.430643 267.387159 
+L 442.701404 269.012845 
+L 442.782632 268.995974 
+L 442.945088 268.522104 
+L 442.99924 268.676967 
+L 443.188772 270.787993 
+L 443.27 270.073966 
+L 443.486608 265.443114 
+L 443.540761 266.070773 
+L 443.703217 268.954662 
+L 443.757369 268.634443 
+L 443.919825 266.417181 
+L 443.973977 266.653314 
+L 444.136433 268.153829 
+L 444.190585 267.859095 
+L 444.298889 267.068777 
+L 444.353041 267.350739 
+L 444.542573 269.878689 
+L 444.596726 269.433546 
+L 444.786258 266.481703 
+L 444.84041 266.661747 
+L 444.97579 267.532987 
+L 445.002866 267.443771 
+L 445.165322 266.227362 
+L 445.219474 266.641423 
+L 445.409006 269.908182 
+L 445.490234 269.273366 
+L 445.679767 265.890759 
+L 445.733919 266.099143 
+L 445.950527 268.739027 
+L 446.031755 268.350321 
+L 446.221287 267.148292 
+L 446.248363 267.207281 
+L 446.464971 268.07911 
+L 446.546199 267.966876 
+L 446.654503 267.802607 
+L 446.681579 267.824495 
+L 446.81696 268.344105 
+L 447.006492 268.91041 
+L 447.033568 268.89347 
+L 447.141872 268.614285 
+L 447.331404 267.376625 
+L 447.520936 266.383339 
+L 447.548012 266.44326 
+L 447.710468 267.62807 
+L 447.818773 268.064111 
+L 447.845849 268.025774 
+L 447.981229 267.236867 
+L 448.170761 266.526891 
+L 448.279065 266.676819 
+L 448.495673 267.57579 
+L 448.631053 267.932984 
+L 448.658129 267.91453 
+L 448.847662 267.626452 
+L 448.874738 267.6734 
+L 449.06427 268.212939 
+L 449.118422 268.09949 
+L 449.33503 267.178283 
+L 449.389182 267.233856 
+L 449.551638 267.518988 
+L 449.60579 267.467076 
+L 449.74117 267.371919 
+L 449.768246 267.396103 
+L 449.849474 267.429058 
+L 449.876551 267.377671 
+L 449.984855 266.643931 
+L 450.120235 265.607542 
+L 450.174387 265.780286 
+L 450.363919 267.912218 
+L 450.445147 267.395498 
+L 450.634679 264.462349 
+L 450.688831 264.918019 
+L 450.905439 269.513527 
+L 450.986668 268.943634 
+L 451.1762 266.283764 
+L 451.230352 266.460283 
+L 451.392808 267.439434 
+L 451.44696 267.359026 
+L 451.528188 267.196058 
+L 451.555264 267.23185 
+L 451.690644 268.178433 
+L 451.771872 268.530489 
+L 451.826024 268.354706 
+L 451.961405 267.481394 
+L 452.015557 267.595864 
+L 452.232165 269.56943 
+L 452.286317 269.277014 
+L 452.530001 266.849923 
+L 452.584153 267.072038 
+L 452.773685 268.125435 
+L 452.827837 268.002942 
+L 453.071522 266.408024 
+L 453.15275 266.644404 
+L 453.396434 268.461243 
+L 453.450586 268.302974 
+L 453.613042 267.597719 
+L 453.667194 267.70937 
+L 453.883802 268.578908 
+L 453.937954 268.472506 
+L 454.289943 266.882975 
+L 454.533627 265.503094 
+L 454.587779 265.598451 
+L 454.723159 266.978262 
+L 454.885615 268.693297 
+L 454.939767 268.568112 
+L 455.156376 266.56861 
+L 455.237604 266.944911 
+L 455.427136 268.460894 
+L 455.454212 268.367163 
+L 455.616668 266.369858 
+L 455.724972 265.686856 
+L 455.752048 265.792765 
+L 455.995732 268.267029 
+L 456.07696 267.661074 
+L 456.212341 266.316841 
+L 456.266493 266.551472 
+L 456.456025 269.007262 
+L 456.510177 268.716056 
+L 456.699709 265.969074 
+L 456.753861 266.228411 
+L 456.943393 268.419048 
+L 456.997545 268.150897 
+L 457.132925 267.05955 
+L 457.187077 267.182807 
+L 457.349534 268.1796 
+L 457.403686 267.959908 
+L 457.566142 267.000905 
+L 457.593218 267.083214 
+L 457.809826 268.451028 
+L 457.891054 268.330396 
+L 458.18889 267.576955 
+L 458.378423 266.539577 
+L 458.405499 266.566863 
+L 458.486727 266.623972 
+L 458.513803 266.563849 
+L 458.676259 265.668171 
+L 458.730411 265.834597 
+L 458.974095 268.910449 
+L 459.055323 268.254178 
+L 459.217779 266.726724 
+L 459.244855 266.758138 
+L 459.407312 267.300957 
+L 459.461464 267.149409 
+L 459.596844 266.738117 
+L 459.62392 266.792256 
+L 459.813452 267.576787 
+L 459.89468 267.456686 
+L 459.975908 267.329872 
+L 460.03006 267.416429 
+L 460.16544 267.84473 
+L 460.219592 267.758926 
+L 460.409125 266.828555 
+L 460.463277 267.03536 
+L 460.679885 268.807141 
+L 460.734037 268.560488 
+L 460.950645 266.425647 
+L 461.004797 266.574401 
+L 461.194329 268.047339 
+L 461.248481 267.925925 
+L 461.410937 266.836214 
+L 461.46509 266.957687 
+L 461.681698 268.597834 
+L 461.73585 268.299417 
+L 461.952458 266.630907 
+L 462.00661 266.655218 
+L 462.060762 266.662367 
+L 462.087838 266.615889 
+L 462.223218 266.111729 
+L 462.27737 266.228259 
+L 462.41275 268.077198 
+L 462.521055 269.244782 
+L 462.575207 269.070092 
+L 462.764739 267.308981 
+L 462.818891 267.462557 
+L 462.954271 268.090802 
+L 462.981347 268.007258 
+L 463.170879 266.609096 
+L 463.225031 266.873418 
+L 463.414563 268.568013 
+L 463.468715 268.333615 
+L 463.604096 267.582597 
+L 463.631172 267.686409 
+L 463.84778 269.715175 
+L 463.901932 269.42495 
+L 464.064388 268.173642 
+L 464.11854 268.354273 
+L 464.25392 268.963888 
+L 464.280996 268.88158 
+L 464.443452 267.814038 
+L 464.52468 268.099813 
+L 464.632985 268.591651 
+L 464.660061 268.469513 
+L 464.849593 265.930114 
+L 464.930821 266.56599 
+L 465.120353 270.054803 
+L 465.174505 269.744582 
+L 465.364037 267.753869 
+L 465.391113 267.859063 
+L 465.499417 268.427034 
+L 465.553569 268.201487 
+L 465.743102 266.175424 
+L 465.797254 266.444481 
+L 465.95971 267.934571 
+L 466.013862 267.788471 
+L 466.149242 266.996363 
+L 466.203394 267.087309 
+L 466.36585 267.742924 
+L 466.392926 267.688852 
+L 466.663686 267.098087 
+L 466.771991 266.495426 
+L 466.880295 265.91661 
+L 466.907371 266.000915 
+L 467.123979 268.289193 
+L 467.232283 267.680513 
+L 467.286435 267.44608 
+L 467.313511 267.50762 
+L 467.448891 269.284262 
+L 467.503043 269.686342 
+L 467.557195 269.315322 
+L 467.746727 266.352046 
+L 467.773804 266.605105 
+L 467.963336 270.147196 
+L 468.017488 269.442185 
+L 468.20702 264.671469 
+L 468.261172 264.984699 
+L 468.450704 267.895708 
+L 468.504856 267.654973 
+L 468.640236 266.604638 
+L 468.694388 266.742064 
+L 468.938073 268.300214 
+L 468.992225 268.254641 
+L 469.127605 267.741631 
+L 469.317137 266.731116 
+L 469.371289 266.886694 
+L 469.533745 267.751804 
+L 469.587897 267.533796 
+L 469.750353 266.492957 
+L 469.777429 266.604939 
+L 469.994038 268.619477 
+L 470.04819 268.303068 
+L 470.210646 267.114618 
+L 470.237722 267.179786 
+L 470.373102 267.769026 
+L 470.427254 267.556195 
+L 470.58971 266.477133 
+L 470.616786 266.616289 
+L 470.833394 269.045669 
+L 470.887546 268.54659 
+L 471.104155 265.385629 
+L 471.158307 265.577175 
+L 471.699827 269.993853 
+L 471.753979 269.744897 
+L 472.051816 266.817325 
+L 472.105968 267.016599 
+L 472.376728 269.685962 
+L 472.457956 269.30612 
+L 472.674564 266.846713 
+L 472.728716 267.174152 
+L 472.891172 268.607941 
+L 472.918248 268.496968 
+L 473.107781 266.656037 
+L 473.161933 267.187208 
+L 473.351465 270.686555 
+L 473.405617 270.37147 
+L 473.595149 267.29543 
+L 473.649301 267.571875 
+L 473.811757 269.531334 
+L 473.865909 269.244389 
+L 474.082518 266.54104 
+L 474.13667 266.865551 
+L 474.27205 268.025404 
+L 474.326202 267.900575 
+L 474.569886 265.686864 
+L 474.624038 266.008491 
+L 474.867722 268.357266 
+L 474.921874 268.195652 
+L 475.030178 267.739541 
+L 475.08433 267.905092 
+L 475.300939 270.171183 
+L 475.355091 269.826311 
+L 475.598775 266.167418 
+L 475.680003 266.356392 
+L 475.761231 266.576259 
+L 475.815383 266.463139 
+L 475.923687 266.163011 
+L 475.950763 266.254831 
+L 476.086143 268.075232 
+L 476.194448 269.178948 
+L 476.2486 268.917395 
+L 476.438132 266.764673 
+L 476.492284 267.052339 
+L 476.763044 270.837037 
+L 476.844272 270.302247 
+L 477.033804 268.59443 
+L 477.06088 268.642443 
+L 477.223336 269.480893 
+L 477.277489 269.246181 
+L 477.467021 267.39 
+L 477.521173 267.760082 
+L 477.683629 269.959457 
+L 477.737781 269.697428 
+L 477.954389 266.185113 
+L 478.008541 266.620901 
+L 478.198073 269.256161 
+L 478.252225 269.133054 
+L 478.414682 268.386422 
+L 478.441758 268.446016 
+L 478.577138 268.83597 
+L 478.604214 268.784268 
+L 478.76667 267.63292 
+L 478.983278 266.773351 
+L 479.064506 266.94673 
+L 479.281114 268.029951 
+L 479.335266 267.881557 
+L 479.470647 267.394056 
+L 479.497723 267.443823 
+L 479.633103 268.062726 
+L 479.687255 267.944408 
+L 479.849711 266.504899 
+L 479.903863 266.723441 
+L 480.120471 269.973734 
+L 480.174623 269.51167 
+L 480.337079 267.150349 
+L 480.391231 267.383938 
+L 480.553688 269.114779 
+L 480.60784 268.825802 
+L 480.797372 266.831009 
+L 480.851524 266.975321 
+L 480.986904 267.486064 
+L 481.01398 267.441996 
+L 481.122284 267.17986 
+L 481.14936 267.229425 
+L 481.28474 268.365443 
+L 481.365968 268.790191 
+L 481.42012 268.581757 
+L 481.609653 266.990178 
+L 481.663805 267.094462 
+L 481.907489 268.397464 
+L 481.961641 268.30917 
+L 482.178249 267.794814 
+L 482.205325 267.837303 
+L 482.394857 268.349738 
+L 482.421933 268.276687 
+L 482.638542 266.800891 
+L 482.71977 267.27935 
+L 482.882226 268.710661 
+L 482.936378 268.529749 
+L 483.098834 267.552713 
+L 483.12591 267.626255 
+L 483.288366 268.498474 
+L 483.342518 268.258892 
+L 483.504974 267.118906 
+L 483.53205 267.221404 
+L 483.721583 268.990188 
+L 483.802811 268.508114 
+L 483.938191 267.232633 
+L 483.992343 267.411783 
+L 484.208951 269.501121 
+L 484.263103 269.243503 
+L 484.560939 267.386092 
+L 484.804624 267.058246 
+L 484.940004 266.688016 
+L 485.156612 265.595274 
+L 485.210764 265.798969 
+L 485.481524 268.178993 
+L 485.562752 267.813729 
+L 485.725209 267.037953 
+L 485.752285 267.094951 
+L 486.185501 269.076433 
+L 486.266729 268.811337 
+L 486.483337 266.307599 
+L 486.564565 266.868608 
+L 486.754098 269.994052 
+L 486.80825 269.686289 
+L 486.997782 266.756508 
+L 487.051934 267.002437 
+L 487.241466 269.363289 
+L 487.295618 269.075316 
+L 487.512226 266.508658 
+L 487.593454 266.781338 
+L 487.837139 268.31755 
+L 487.864215 268.279687 
+L 487.999595 267.502647 
+L 488.080823 267.185363 
+L 488.134975 267.351525 
+L 488.351583 269.276609 
+L 488.432811 268.856243 
+L 488.595267 267.611293 
+L 488.649419 267.686438 
+L 488.757723 267.981094 
+L 488.811875 267.870663 
+L 488.947256 267.350475 
+L 489.001408 267.50261 
+L 489.19094 268.544902 
+L 489.245092 268.358396 
+L 489.353396 267.999585 
+L 489.380472 268.072081 
+L 489.542928 269.207448 
+L 489.59708 269.04673 
+L 489.786612 266.93219 
+L 489.86784 267.342928 
+L 490.003221 268.571665 
+L 490.057373 268.406736 
+L 490.246905 266.94267 
+L 490.301057 267.043877 
+L 490.382285 267.190397 
+L 490.409361 267.121138 
+L 490.598893 265.971365 
+L 490.653045 266.325856 
+L 490.815501 268.064942 
+L 490.869653 267.8801 
+L 491.03211 266.542059 
+L 491.086262 266.843768 
+L 491.248718 268.18878 
+L 491.275794 268.043863 
+L 491.465326 266.031644 
+L 491.519478 266.333421 
+L 491.681934 267.723523 
+L 491.70901 267.583794 
+L 491.871466 265.814951 
+L 491.925618 266.008307 
+L 492.142227 268.971399 
+L 492.223455 268.444055 
+L 492.358835 267.309799 
+L 492.412987 267.504341 
+L 492.629595 269.104819 
+L 492.683747 268.90037 
+L 493.008659 266.932229 
+L 493.035735 266.986207 
+L 493.198192 268.003721 
+L 493.631408 270.565371 
+L 493.658484 270.453372 
+L 493.766788 268.5431 
+L 493.902168 266.10623 
+L 493.95632 266.323188 
+L 494.145853 269.096646 
+L 494.227081 268.58529 
+L 494.362461 267.320651 
+L 494.389537 267.388065 
+L 494.551993 268.725636 
+L 494.606145 268.534337 
+L 494.795677 266.714921 
+L 494.849829 267.008322 
+L 495.012285 268.347042 
+L 495.066437 268.151548 
+L 495.228894 267.121234 
+L 495.283046 267.204413 
+L 495.445502 267.660122 
+L 495.499654 267.606829 
+L 495.607958 267.566956 
+L 495.635034 267.593582 
+L 495.689186 267.616968 
+L 495.716262 267.580687 
+L 495.851642 266.818515 
+L 495.905794 266.621551 
+L 495.959946 266.824581 
+L 496.176554 269.210739 
+L 496.230707 268.736311 
+L 496.420239 266.375619 
+L 496.447315 266.492269 
+L 496.609771 267.762221 
+L 496.663923 267.47896 
+L 496.799303 266.373692 
+L 496.853455 266.675774 
+L 497.042987 269.019244 
+L 497.097139 268.65656 
+L 497.313748 266.053092 
+L 497.3679 266.271196 
+L 497.77404 268.755578 
+L 497.801116 268.673091 
+L 497.90942 267.369978 
+L 498.0448 265.887615 
+L 498.071876 265.97097 
+L 498.207256 267.933012 
+L 498.342637 269.035521 
+L 498.369713 268.972385 
+L 498.613397 268.407591 
+L 498.694625 268.13354 
+L 498.830005 267.431903 
+L 498.857081 267.498287 
+L 498.965385 268.901822 
+L 499.100765 270.64439 
+L 499.127841 270.543234 
+L 499.236145 268.534754 
+L 499.371526 266.198938 
+L 499.425678 266.388523 
+L 499.61521 268.466106 
+L 499.669362 268.148711 
+L 499.858894 266.348963 
+L 499.88597 266.467861 
+L 500.129654 268.574015 
+L 500.183806 268.382597 
+L 500.319186 267.938293 
+L 500.346262 267.985563 
+L 500.725327 268.890244 
+L 500.806555 268.928965 
+L 500.833631 268.856721 
+L 500.941935 267.890356 
+L 501.104391 266.301558 
+L 501.131467 266.366371 
+L 501.266847 267.996709 
+L 501.375151 268.827853 
+L 501.402227 268.774175 
+L 501.564684 267.877544 
+L 501.618836 268.11274 
+L 501.781292 269.581984 
+L 501.835444 269.300619 
+L 502.052052 265.840801 
+L 502.13328 266.63612 
+L 502.295736 269.456887 
+L 502.349888 269.214802 
+L 502.539421 266.124489 
+L 502.620649 266.703376 
+L 502.783105 269.151672 
+L 502.837257 268.954247 
+L 503.108017 265.777352 
+L 503.189245 265.941036 
+L 503.324625 266.537289 
+L 503.514157 269.297264 
+L 503.595386 269.775562 
+L 503.622462 269.606626 
+L 503.83907 266.153818 
+L 503.920298 266.71299 
+L 504.10983 269.286703 
+L 504.163982 269.059956 
+L 504.407666 266.920347 
+L 504.461818 267.056914 
+L 504.705503 268.129981 
+L 504.759655 268.026497 
+L 504.976263 267.16392 
+L 505.030415 267.297127 
+L 505.165795 267.797458 
+L 505.219947 267.658013 
+L 505.490707 265.358208 
+L 505.571935 265.684227 
+L 505.826625 268.47295 
+L 505.826625 268.47295 
+" clip-path="url(#paad4e5c585)" style="fill: none; stroke: #ffa500; stroke-linecap: square"/>
    </g>
    <g id="line2d_20">
-    <path d="M -1 257.924677 
-L -0.422466 255.507327 
-L -0.237856 255.614914 
-L 0.069827 255.753426 
-L 0.279052 255.560397 
-L 0.488276 255.473872 
-L 0.635964 255.776396 
-L 1.239023 258.006235 
-L 1.608242 259.361386 
-L 1.80516 259.720607 
-L 1.977462 260.788522 
-L 2.334374 262.928777 
-L 2.44514 262.856466 
-L 2.592828 262.754009 
-L 2.617443 262.780795 
-L 2.740516 263.177102 
-L 3.208194 264.985653 
-L 3.552799 265.039995 
-L 4.032785 265.918694 
-L 4.438926 266.662843 
-L 4.463541 266.648303 
-L 4.648151 266.342503 
-L 4.795839 266.222079 
-L 4.820453 266.243008 
-L 4.955834 266.577784 
-L 5.214288 267.242103 
-L 5.238902 267.228488 
-L 5.349668 266.959636 
-L 5.70658 265.892817 
-L 5.731195 265.903001 
-L 6.125029 266.057428 
-L 6.334254 265.898644 
-L 6.346561 265.909918 
-L 6.469634 266.199122 
-L 6.888083 267.533551 
-L 6.937313 267.491889 
-L 7.097308 267.055175 
-L 7.441913 266.175145 
-L 7.564986 266.306279 
-L 7.884976 266.732639 
-L 7.897284 266.72444 
-L 8.254196 266.429344 
-L 8.303425 266.504188 
-L 8.574186 266.903571 
-L 8.611108 266.865627 
-L 8.771104 266.421296 
-L 8.968021 266.029811 
-L 8.992635 266.045047 
-L 9.128016 266.349385 
-L 9.312626 266.686107 
-L 9.33724 266.669159 
-L 9.460314 266.355576 
-L 9.681845 265.800588 
-L 9.718767 265.829667 
-L 9.866455 266.23802 
-L 10.001836 266.470752 
-L 10.038758 266.421924 
-L 10.161831 265.863689 
-L 10.506436 264.277567 
-L 10.71566 264.234288 
-L 10.851041 263.451219 
-L 11.294104 260.519172 
-L 11.466407 260.067082 
-L 11.663324 258.532648 
-L 12.364841 252.59141 
-L 12.549451 252.281342 
-L 12.83252 252.214715 
-L 13.127895 251.986189 
-L 13.460193 252.390436 
-L 13.607881 252.854842 
-L 13.792491 254.392681 
-L 14.383242 259.805407 
-L 15.232447 263.971538 
-L 15.367828 264.049352 
-L 15.380135 264.043225 
-L 15.515516 264.070438 
-L 15.638589 264.487125 
-L 15.90935 265.584835 
-L 15.946272 265.545155 
-L 16.069345 265.043676 
-L 16.303184 264.168776 
-L 16.327799 264.181124 
-L 16.450872 264.487805 
-L 16.635482 264.851585 
-L 16.660097 264.831116 
-L 16.78317 264.494792 
-L 17.447765 261.503769 
-L 17.816985 259.667456 
-L 18.173897 257.737718 
-L 18.469273 255.354187 
-L 18.949258 250.707464 
-L 18.961566 250.709146 
-L 19.072332 250.889723 
-L 19.293863 251.132102 
-L 19.478473 251.154091 
-L 19.601546 251.592932 
-L 19.946151 254.101712 
-L 20.3646 257.989947 
-L 20.893815 262.568453 
-L 21.312264 264.786218 
-L 21.718406 265.844663 
-L 22.407616 266.45156 
-L 22.567611 266.475425 
-L 22.727606 266.85701 
-L 22.961445 267.319015 
-L 22.973753 267.313336 
-L 23.096826 267.102122 
-L 23.30605 266.787303 
-L 23.330665 266.806615 
-L 23.478353 267.159464 
-L 23.699884 267.564079 
-L 23.712192 267.557881 
-L 23.847572 267.321536 
-L 24.118333 266.949311 
-L 24.598319 267.04333 
-L 24.844465 266.983437 
-L 25.275222 267.052309 
-L 25.693671 266.558811 
-L 25.755207 266.639093 
-L 26.136734 267.186974 
-L 26.173656 267.159572 
-L 26.444417 267.053748 
-L 26.727486 267.254357 
-L 26.7521 267.224619 
-L 26.949017 266.730061 
-L 27.12132 266.505372 
-L 27.145934 266.522598 
-L 27.293622 266.82995 
-L 27.613613 267.411701 
-L 27.970525 267.485986 
-L 28.192057 267.213517 
-L 28.339745 267.159459 
-L 28.352052 267.170876 
-L 28.49974 267.498001 
-L 28.81973 268.14479 
-L 28.992033 267.988074 
-L 29.828931 267.150161 
-L 30.025848 267.415043 
-L 30.468911 268.199252 
-L 30.518141 268.153113 
-L 30.75198 267.605465 
-L 30.850438 267.528739 
-L 30.88736 267.56173 
-L 31.035048 267.962881 
-L 31.219658 268.328601 
-L 31.244273 268.307344 
-L 31.367346 267.940666 
-L 31.613492 267.202187 
-L 31.638107 267.221738 
-L 31.76118 267.586662 
-L 32.019634 268.319894 
-L 32.044248 268.30597 
-L 32.191936 267.998579 
-L 32.425775 267.687207 
-L 32.696536 267.620726 
-L 32.905761 267.439118 
-L 32.930376 267.463763 
-L 33.065756 267.855539 
-L 33.336517 268.719597 
-L 33.373439 268.688404 
-L 33.496512 268.286501 
-L 33.791888 267.298182 
-L 33.816503 267.309675 
-L 33.939576 267.566758 
-L 34.210337 268.109921 
-L 34.222644 268.105021 
-L 34.345718 267.911732 
-L 34.690323 267.346329 
-L 35.121079 267.454637 
-L 35.330303 267.295136 
-L 35.342611 267.304823 
-L 35.490298 267.593024 
-L 35.674908 267.879952 
-L 35.699523 267.86439 
-L 35.822596 267.580794 
-L 36.031821 267.114106 
-L 36.056435 267.133931 
-L 36.167201 267.455088 
-L 36.388733 268.149108 
-L 36.425655 268.106962 
-L 36.548728 267.570379 
-L 36.782567 266.542708 
-L 36.819489 266.579781 
-L 36.942562 267.097929 
-L 37.151787 267.910443 
-L 37.188709 267.881798 
-L 37.311782 267.440359 
-L 37.521007 266.790455 
-L 37.545621 266.806707 
-L 37.668694 267.142537 
-L 37.865612 267.589903 
-L 37.890226 267.569946 
-L 38.013299 267.225395 
-L 38.308675 266.470425 
-L 38.456363 266.601614 
-L 39.096344 267.363717 
-L 39.133266 267.324506 
-L 39.404027 267.054892 
-L 39.428641 267.082185 
-L 39.613251 267.550431 
-L 39.810168 267.831983 
-L 39.822476 267.826848 
-L 40.21631 267.697187 
-L 40.474764 267.875558 
-L 40.807061 267.797527 
-L 41.151666 268.031352 
-L 41.767032 267.568611 
-L 41.988564 267.284881 
-L 42.000872 267.290575 
-L 42.148559 267.506918 
-L 42.431628 267.836571 
-L 42.665467 268.011358 
-L 42.911613 268.206515 
-L 42.923921 268.195878 
-L 43.120838 267.829121 
-L 43.256218 267.724122 
-L 43.280833 267.743982 
-L 43.440828 268.103081 
-L 43.686975 268.474924 
-L 44.314648 268.116251 
-L 44.597716 267.903242 
-L 44.880785 267.925518 
-L 45.250004 267.345449 
-L 45.323848 267.448657 
-L 45.72999 268.125204 
-L 45.754605 268.110017 
-L 45.976136 267.79518 
-L 46.246897 267.565725 
-L 46.456122 267.757027 
-L 46.616117 267.761589 
-L 46.776112 267.390639 
-L 47.059181 266.860129 
-L 47.219176 267.062376 
-L 47.453015 267.231626 
-L 47.699161 267.280651 
-L 48.129918 267.672723 
-L 48.892972 267.255418 
-L 49.225269 267.344943 
-L 49.532952 267.034579 
-L 49.557567 267.055121 
-L 49.766791 267.180574 
-L 49.791406 267.147446 
-L 49.939094 266.664287 
-L 50.123704 266.130253 
-L 50.160626 266.158608 
-L 50.271392 266.575369 
-L 50.566767 267.883607 
-L 50.603689 267.85417 
-L 50.763684 267.398708 
-L 50.948294 267.136256 
-L 50.960602 267.140898 
-L 51.194441 267.140087 
-L 51.440587 266.726634 
-L 51.502124 266.819297 
-L 51.686734 267.636515 
-L 51.846729 268.062018 
-L 51.883651 268.035743 
-L 52.055953 267.579614 
-L 52.154412 267.458577 
-L 52.203641 267.510229 
-L 52.486709 268.203838 
-L 52.572861 268.011745 
-L 52.905158 266.738114 
-L 52.979002 266.836077 
-L 53.348222 267.457085 
-L 53.569754 267.462467 
-L 53.889744 267.614797 
-L 54.160505 267.502546 
-L 54.640491 267.840417 
-L 55.218935 267.525922 
-L 55.354315 267.590206 
-L 55.711228 268.011014 
-L 55.760457 267.956351 
-L 56.105062 267.631103 
-L 56.363516 267.641218 
-L 56.658891 267.407596 
-L 56.683506 267.433945 
-L 56.880423 267.874459 
-L 57.138877 268.244513 
-L 57.311179 268.153064 
-L 57.483482 267.760811 
-L 57.828087 266.748348 
-L 57.877316 266.807769 
-L 58.037311 267.411867 
-L 58.283458 268.089049 
-L 58.406531 267.92183 
-L 58.664985 267.640727 
-L 58.874209 267.590151 
-L 59.083434 267.056038 
-L 59.280351 266.813434 
-L 60.154171 267.124739 
-L 60.461854 266.615827 
-L 60.535698 266.749553 
-L 60.867995 267.780438 
-L 60.954147 267.650908 
-L 61.26183 266.962858 
-L 61.298752 266.995612 
-L 61.618742 267.400936 
-L 61.680279 267.32901 
-L 62.024884 266.989177 
-L 62.59102 267.265903 
-L 62.984855 267.223219 
-L 63.501762 267.018562 
-L 63.698679 267.357244 
-L 63.957133 267.673628 
-L 64.15405 267.469347 
-L 64.326353 267.443497 
-L 64.560192 267.497732 
-L 64.70788 267.075733 
-L 64.904797 266.593102 
-L 64.929411 266.616605 
-L 65.040177 267.030933 
-L 65.34786 268.588216 
-L 65.39709 268.527456 
-L 65.557085 267.834362 
-L 65.71708 267.38834 
-L 65.754002 267.413677 
-L 65.90169 267.835581 
-L 66.03707 268.071182 
-L 66.073992 268.029932 
-L 66.209373 267.52131 
-L 66.418597 266.839159 
-L 66.443212 266.853038 
-L 66.553978 267.166588 
-L 66.824739 267.987815 
-L 66.849354 267.975846 
-L 67.021656 267.664807 
-L 67.144729 267.588591 
-L 67.169344 267.611664 
-L 67.353954 268.02746 
-L 67.513949 268.192613 
-L 67.538564 268.173309 
-L 67.710866 267.814465 
-L 67.993935 267.379589 
-L 68.412383 267.286999 
-L 69.212359 267.557201 
-L 69.360047 267.358367 
-L 69.606194 266.97657 
-L 69.643116 267.005729 
-L 69.790803 267.383301 
-L 69.987721 267.804969 
-L 70.024643 267.779447 
-L 70.160023 267.397982 
-L 70.40617 266.767442 
-L 70.430784 266.777356 
-L 70.578472 267.038263 
-L 70.812311 267.284729 
-L 70.996921 267.354756 
-L 71.181531 267.875793 
-L 71.341526 268.171613 
-L 71.378448 268.142008 
-L 71.501521 267.774092 
-L 71.796897 266.907025 
-L 71.809204 266.910014 
-L 71.956892 267.10426 
-L 72.215346 267.333759 
-L 72.658409 267.381715 
-L 72.941478 266.710686 
-L 72.990707 266.786042 
-L 73.150702 267.528677 
-L 73.347619 268.226379 
-L 73.372234 268.213438 
-L 73.483 267.900812 
-L 73.704532 267.275981 
-L 73.729146 267.294175 
-L 73.85222 267.627414 
-L 74.049137 268.060481 
-L 74.073751 268.04349 
-L 74.233746 267.688828 
-L 74.332205 267.577579 
-L 74.381434 267.632131 
-L 74.529122 268.179914 
-L 74.713732 268.685279 
-L 74.738347 268.666417 
-L 74.849113 268.337746 
-L 75.095259 267.602193 
-L 75.119874 267.618536 
-L 75.255254 267.958023 
-L 75.476786 268.368842 
-L 75.489093 268.362556 
-L 75.636781 268.128172 
-L 75.944464 267.755998 
-L 76.350606 267.585954 
-L 76.682903 267.981199 
-L 76.732133 267.930323 
-L 77.150582 267.526191 
-L 77.901328 267.768825 
-L 78.159782 267.416914 
-L 78.196704 267.455298 
-L 78.369007 267.94053 
-L 78.541309 268.246222 
-L 78.565924 268.229614 
-L 78.701304 267.910808 
-L 78.959758 267.432804 
-L 79.292056 267.417851 
-L 79.488973 267.321461 
-L 79.50128 267.332933 
-L 79.747427 267.60683 
-L 79.796656 267.530249 
-L 79.956651 266.849626 
-L 80.128953 266.282005 
-L 80.165875 266.314103 
-L 80.276641 266.773741 
-L 80.55971 268.081894 
-L 80.584324 268.059039 
-L 80.707398 267.650701 
-L 80.916622 267.058297 
-L 80.941237 267.069515 
-L 81.06431 267.335222 
-L 81.285842 267.721586 
-L 81.298149 267.716418 
-L 81.458144 267.489338 
-L 81.691983 267.313271 
-L 82.011974 267.245392 
-L 82.528881 266.866484 
-L 82.750413 266.555695 
-L 82.775028 266.571978 
-L 82.922715 266.878192 
-L 83.230398 267.420221 
-L 83.439623 267.632233 
-L 83.710384 268.046076 
-L 83.747306 268.009998 
-L 83.907301 267.560123 
-L 84.116526 267.142037 
-L 84.128833 267.149085 
-L 84.251906 267.386877 
-L 84.448823 267.731853 
-L 84.485745 267.703748 
-L 84.621126 267.342465 
-L 84.867272 266.777603 
-L 84.87958 266.782765 
-L 85.002653 266.984639 
-L 85.211877 267.271421 
-L 85.236492 267.251962 
-L 85.38418 266.909404 
-L 85.654941 266.396446 
-L 85.962624 266.341042 
-L 86.356458 265.428211 
-L 86.442609 265.526465 
-L 86.71337 265.821123 
-L 86.725678 265.813472 
-L 87.057975 265.645042 
-L 87.070283 265.66172 
-L 87.341044 265.974809 
-L 87.377966 265.936076 
-L 87.562576 265.461478 
-L 87.784107 265.157921 
-L 88.153327 265.235719 
-L 88.424088 265.004764 
-L 88.744079 265.249149 
-L 88.781 265.184385 
-L 88.990225 264.438463 
-L 89.236371 263.916268 
-L 89.457903 263.805987 
-L 89.593284 263.204563 
-L 90.257879 258.036828 
-L 90.467104 253.10573 
-L 90.737865 240.928903 
-L 90.959396 219.231014 
-L 91.291694 157.042333 
-L 91.611684 114.789013 
-L 91.833216 108.976047 
-L 91.968597 104.418716 
-L 92.140899 88.963842 
-L 92.633192 29.894437 
-L 92.694729 31.606625 
-L 92.830109 46.148037 
-L 93.543934 142.136044 
-L 93.851617 162.295996 
-L 94.146993 203.625225 
-L 94.52852 248.685165 
-L 94.799281 257.313136 
-L 95.193115 263.441799 
-L 95.377725 263.745636 
-L 95.500798 264.10898 
-L 95.919247 265.905009 
-L 95.968476 265.879429 
-L 96.165393 265.85609 
-L 96.657686 266.301811 
-L 96.669994 266.290773 
-L 97.113057 265.974438 
-L 97.125364 265.98803 
-L 97.273052 266.356875 
-L 97.642272 267.325993 
-L 97.949955 267.33002 
-L 98.306867 267.757865 
-L 98.319175 267.750172 
-L 98.589936 267.695351 
-L 98.786853 267.717212 
-L 98.98377 267.313905 
-L 99.094536 267.222123 
-L 99.131458 267.265444 
-L 99.279146 267.78356 
-L 99.476063 268.349615 
-L 99.500678 268.328191 
-L 99.611443 267.936318 
-L 99.956048 266.4548 
-L 99.980663 266.466055 
-L 100.116044 266.741923 
-L 100.68218 268.04484 
-L 100.792946 267.886276 
-L 101.162166 267.042068 
-L 101.211395 267.075272 
-L 101.469849 267.179941 
-L 101.74061 266.987524 
-L 101.765225 267.018662 
-L 102.146752 267.678726 
-L 102.232903 267.584879 
-L 102.491357 267.411531 
-L 102.688274 267.377187 
-L 102.872884 266.899332 
-L 103.032879 266.623964 
-L 103.069801 266.651371 
-L 103.205181 267.039066 
-L 103.43902 267.638597 
-L 103.463635 267.619766 
-L 103.586708 267.299749 
-L 103.795933 266.799045 
-L 103.820547 266.814982 
-L 103.931313 267.117856 
-L 104.226689 268.097528 
-L 104.263611 268.062924 
-L 104.398991 267.619367 
-L 104.706674 266.690996 
-L 104.829748 266.805055 
-L 105.518958 267.752617 
-L 105.654338 267.612974 
-L 105.962021 267.252439 
-L 105.974329 267.2609 
-L 106.183553 267.582971 
-L 106.392778 267.700794 
-L 106.74969 267.672532 
-L 106.995836 267.694359 
-L 107.340441 267.602483 
-L 107.57428 267.602775 
-L 107.955807 267.346674 
-L 107.980422 267.374816 
-L 108.4481 267.816848 
-L 108.989622 267.733537 
-L 109.481915 267.3737 
-L 109.629603 267.485922 
-L 109.838828 268.075637 
-L 110.035745 268.431711 
-L 110.060359 268.418473 
-L 110.183433 268.169283 
-L 110.491116 267.575971 
-L 110.663418 267.768011 
-L 111.032638 268.087539 
-L 111.315706 268.206919 
-L 111.488009 267.845315 
-L 111.783384 267.327449 
-L 111.992609 267.433977 
-L 112.374136 267.5506 
-L 113.08796 267.48194 
-L 113.371029 266.943519 
-L 113.432565 267.04504 
-L 113.604868 267.887454 
-L 113.77717 268.476513 
-L 113.801785 268.45669 
-L 113.900244 268.09789 
-L 114.183312 266.815702 
-L 114.220234 266.858058 
-L 114.380229 267.46267 
-L 114.527917 267.799338 
-L 114.564839 267.773962 
-L 114.749449 267.324263 
-L 114.860215 267.235053 
-L 114.897137 267.269487 
-L 115.106361 267.531004 
-L 115.15559 267.467318 
-L 115.327893 266.815298 
-L 115.487888 266.432502 
-L 115.52481 266.462476 
-L 115.684805 266.927035 
-L 115.832493 267.16799 
-L 115.857108 267.151742 
-L 116.140176 266.762557 
-L 116.21402 266.900874 
-L 116.447859 267.390119 
-L 116.484781 267.355554 
-L 116.657084 266.872091 
-L 116.780157 266.70049 
-L 116.817079 266.734144 
-L 117.08784 267.261913 
-L 117.161684 267.113951 
-L 117.432445 266.241017 
-L 117.493982 266.346397 
-L 117.801665 267.495179 
-L 117.900123 267.279273 
-L 118.121655 266.62802 
-L 118.158577 266.67826 
-L 118.28165 267.241621 
-L 118.515489 268.273698 
-L 118.552411 268.245158 
-L 118.675484 267.806606 
-L 118.872402 267.194554 
-L 118.909323 267.223119 
-L 119.032397 267.619557 
-L 119.241621 268.208769 
-L 119.266236 268.193978 
-L 119.377002 267.911354 
-L 119.610841 267.312711 
-L 119.635455 267.328927 
-L 119.758529 267.628508 
-L 119.955446 268.046923 
-L 119.98006 268.0279 
-L 120.090826 267.712936 
-L 120.398509 266.6772 
-L 120.435431 266.697764 
-L 120.595427 267.039377 
-L 120.792344 267.273187 
-L 120.804651 267.267738 
-L 120.989261 267.029453 
-L 121.284637 266.344115 
-L 121.764622 264.69152 
-L 121.801544 264.702093 
-L 121.936925 264.6244 
-L 122.072305 264.085791 
-L 122.441525 262.536879 
-L 122.626135 262.440039 
-L 122.761515 261.793992 
-L 123.056891 260.186393 
-L 123.093813 260.223886 
-L 123.216886 260.754626 
-L 123.487647 261.840734 
-L 123.499954 261.835338 
-L 123.61072 261.599848 
-L 123.906096 260.975906 
-L 124.053784 261.160066 
-L 124.570691 262.325249 
-L 125.136828 264.091585 
-L 125.370667 264.205661 
-L 125.666043 264.720675 
-L 125.72758 264.629855 
-L 125.924497 263.82535 
-L 126.072185 263.477519 
-L 126.109107 263.502713 
-L 126.256794 263.904661 
-L 126.36756 264.100954 
-L 126.41679 264.043152 
-L 126.539863 263.444237 
-L 126.909082 261.535269 
-L 127.05677 261.266879 
-L 127.192151 260.289891 
-L 127.450605 256.256811 
-L 127.74598 248.442727 
-L 128.004434 233.877326 
-L 128.422883 194.355661 
-L 128.865947 159.499882 
-L 129.407469 130.262073 
-L 129.948991 90.382191 
-L 129.973605 90.534855 
-L 130.059757 93.262404 
-L 130.244367 108.669528 
-L 130.785889 155.748261 
-L 131.19203 176.88109 
-L 131.573557 220.713249 
-L 131.93047 248.899251 
-L 132.238153 258.009015 
-L 132.545836 261.383387 
-L 133.025821 264.396163 
-L 133.12428 264.295809 
-L 133.333504 264.023287 
-L 133.358119 264.046379 
-L 133.481192 264.385679 
-L 133.924256 265.754876 
-L 134.121173 265.689756 
-L 134.404241 265.654734 
-L 134.945763 265.855325 
-L 135.204217 265.61781 
-L 135.228832 265.638701 
-L 135.37652 265.980015 
-L 135.684203 266.72703 
-L 135.708817 266.711722 
-L 135.831891 266.435417 
-L 136.250339 265.370901 
-L 136.422642 265.499983 
-L 136.828784 266.130559 
-L 137.062623 266.336009 
-L 137.456457 266.250779 
-L 137.788755 266.868903 
-L 137.837984 266.823356 
-L 138.170282 266.36016 
-L 138.231818 266.442619 
-L 138.63796 267.104341 
-L 138.674882 267.079413 
-L 139.167175 266.773058 
-L 139.351784 267.06302 
-L 139.684082 267.57026 
-L 139.83177 267.381015 
-L 140.053302 267.170161 
-L 140.065609 267.179066 
-L 140.213297 267.457881 
-L 140.471751 267.89196 
-L 140.484058 267.885793 
-L 140.607131 267.667017 
-L 140.988658 266.795683 
-L 141.013273 266.809809 
-L 141.160961 267.072639 
-L 141.431722 267.46461 
-L 141.567102 267.281323 
-L 141.850171 266.93342 
-L 142.342464 267.030928 
-L 142.514766 267.035477 
-L 142.945522 267.314494 
-L 143.253205 267.139643 
-L 143.560888 267.152136 
-L 143.831649 267.08151 
-L 144.274713 267.284777 
-L 144.693162 267.089933 
-L 145.111611 267.033989 
-L 145.456216 267.299974 
-L 145.468523 267.288905 
-L 145.66544 266.926849 
-L 145.948509 266.558133 
-L 146.083889 266.702601 
-L 146.465416 267.336032 
-L 146.514646 267.286034 
-L 146.736177 266.738815 
-L 146.896173 266.574849 
-L 146.90848 266.582818 
-L 147.068475 266.862791 
-L 147.240778 267.038117 
-L 147.265392 267.018116 
-L 147.425387 266.660083 
-L 147.646919 266.304066 
-L 147.659226 266.308446 
-L 147.819222 266.524884 
-L 148.053061 266.719091 
-L 148.42228 266.747512 
-L 148.569968 266.696033 
-L 148.926881 266.153463 
-L 149.000725 266.267962 
-L 149.283793 266.849934 
-L 149.333022 266.79108 
-L 149.505325 266.184894 
-L 149.689935 265.74671 
-L 149.714549 265.763311 
-L 149.825315 266.057798 
-L 150.145305 267.010272 
-L 150.16992 266.999018 
-L 150.379145 266.689208 
-L 150.551447 266.664426 
-L 150.736057 266.658722 
-L 150.883745 266.27393 
-L 151.154506 265.614961 
-L 151.166813 265.620146 
-L 151.289886 265.837272 
-L 151.560647 266.297601 
-L 151.572955 266.29211 
-L 151.73295 266.066797 
-L 152.274472 265.305747 
-L 152.471389 265.210564 
-L 152.803687 265.406865 
-L 152.840609 265.34672 
-L 153.037526 264.703958 
-L 153.579048 262.012318 
-L 154.379024 257.718244 
-L 154.563634 257.508255 
-L 154.711322 256.663864 
-L 155.092849 254.11278 
-L 155.117463 254.128878 
-L 155.252844 254.483746 
-L 155.400532 254.754653 
-L 155.437454 254.728523 
-L 155.572834 254.338918 
-L 155.843595 253.678412 
-L 155.966668 253.83673 
-L 156.668186 255.514226 
-L 157.012791 257.107992 
-L 157.56662 259.83256 
-L 158.181986 262.253165 
-L 158.243523 262.21911 
-L 158.932733 261.466588 
-L 159.203494 259.893935 
-L 159.781938 255.517297 
-L 160.200387 248.740693 
-L 160.569607 238.661592 
-L 161.098822 218.336245 
-L 161.726495 180.562928 
-L 162.415705 143.175562 
-L 162.772617 131.996645 
-L 162.858769 131.535392 
-L 162.907998 131.724025 
-L 163.031071 133.575807 
-L 163.252603 141.209957 
-L 163.671052 165.08745 
-L 164.96332 244.135716 
-L 165.33254 249.980733 
-L 165.467921 250.438633 
-L 165.504843 250.410557 
-L 165.70176 249.895753 
-L 166.02175 248.96157 
-L 166.20636 246.568432 
-L 167.055565 229.879 
-L 167.90477 203.07867 
-L 168.729361 165.876885 
-L 169.28319 145.506476 
-L 169.492415 142.286956 
-L 169.504722 142.293516 
-L 169.566259 142.676955 
-L 169.713947 145.621191 
-L 170.083166 158.746059 
-L 170.440079 180.120256 
-L 171.424664 239.836652 
-L 171.843113 250.888364 
-L 172.113874 253.43418 
-L 172.421557 255.642215 
-L 172.741548 257.600404 
-L 172.938465 257.749519 
-L 173.307684 257.651747 
-L 173.664597 257.410867 
-L 173.812285 256.571235 
-L 174.058431 253.420107 
-L 174.526109 244.425932 
-L 175.018402 227.864428 
-L 175.572232 204.437002 
-L 176.335286 172.311573 
-L 176.606047 168.191778 
-L 176.704505 167.92625 
-L 176.753734 167.992134 
-L 176.876808 168.660827 
-L 177.073725 171.199065 
-L 177.344486 178.070849 
-L 179.30135 237.625838 
-L 179.978253 248.32012 
-L 180.86438 257.476918 
-L 181.565897 261.70954 
-L 181.652048 261.617221 
-L 181.836658 261.414224 
-L 181.87358 261.44999 
-L 182.008961 261.862905 
-L 182.304336 262.769962 
-L 182.328951 262.76014 
-L 182.476639 262.503999 
-L 182.648941 262.330522 
-L 182.673556 262.350328 
-L 182.845859 262.71323 
-L 183.042776 262.95462 
-L 183.055083 262.947676 
-L 183.202771 262.698656 
-L 183.547376 262.150488 
-L 183.7566 262.209396 
-L 184.039669 262.554519 
-L 184.482732 263.071411 
-L 184.642728 262.95872 
-L 185.098098 262.424701 
-L 185.122713 262.445576 
-L 185.885767 263.147258 
-L 185.922689 263.093878 
-L 186.082684 262.531931 
-L 186.464211 261.20813 
-L 186.636514 260.791738 
-L 186.833431 259.409765 
-L 187.350338 253.613854 
-L 187.633407 246.335459 
-L 188.064163 229.13014 
-L 188.44569 203.395602 
-L 189.024134 166.042116 
-L 189.442583 142.601779 
-L 189.873339 120.434893 
-L 189.971798 119.493227 
-L 190.021027 119.709155 
-L 190.131793 121.744088 
-L 190.365632 131.21271 
-L 190.956383 165.96755 
-L 191.89174 226.701158 
-L 192.310189 240.501863 
-L 192.740945 247.645664 
-L 193.073243 250.355065 
-L 193.307082 250.79395 
-L 193.479384 250.786278 
-L 193.614765 250.500339 
-L 193.787067 249.512028 
-L 194.008599 246.805388 
-L 194.254746 240.775847 
-L 194.550121 227.225397 
-L 194.919341 198.493303 
-L 196.014693 108.322251 
-L 196.310068 94.074054 
-L 196.34699 93.832612 
-L 196.39622 94.16485 
-L 196.506985 97.593737 
-L 196.740825 113.830314 
-L 198.316162 237.665575 
-L 198.771533 251.256803 
-L 199.10383 256.223065 
-L 199.682274 260.176101 
-L 200.186875 262.879519 
-L 200.396099 263.540083 
-L 200.408406 263.537734 
-L 200.53148 263.365734 
-L 200.66686 263.228856 
-L 200.703782 263.261845 
-L 200.839163 263.663848 
-L 201.097616 264.343265 
-L 201.109924 264.338344 
-L 201.35607 264.155096 
-L 201.405299 264.265339 
-L 201.614524 265.304874 
-L 201.762212 265.68732 
-L 201.799134 265.655881 
-L 201.946822 265.206329 
-L 202.119124 264.887466 
-L 202.143739 264.902829 
-L 202.377578 265.15624 
-L 202.439114 265.048271 
-L 202.709875 264.292157 
-L 202.771412 264.408827 
-L 202.943715 265.381303 
-L 203.152939 266.114991 
-L 203.165246 266.10859 
-L 203.28832 265.854711 
-L 203.472929 265.592031 
-L 203.497544 265.610067 
-L 203.940608 265.938153 
-L 204.075988 266.015947 
-L 204.285213 266.206449 
-L 204.322135 266.165757 
-L 204.506744 265.650103 
-L 204.605203 265.506724 
-L 204.654432 265.562869 
-L 204.789813 266.147078 
-L 204.999037 266.95867 
-L 205.035959 266.926753 
-L 205.159032 266.46282 
-L 205.35595 265.809644 
-L 205.392872 265.838418 
-L 205.528252 266.284972 
-L 205.712862 266.74208 
-L 205.737477 266.730197 
-L 205.885164 266.435322 
-L 206.008238 266.30296 
-L 206.04516 266.334212 
-L 206.340535 266.836433 
-L 206.414379 266.715092 
-L 206.660526 266.224543 
-L 206.697448 266.259815 
-L 206.857443 266.727122 
-L 207.103589 267.199234 
-L 207.485116 267.11241 
-L 207.632804 266.728861 
-L 207.842029 266.170781 
-L 207.87895 266.199373 
-L 207.989716 266.600901 
-L 208.297399 267.96793 
-L 208.334321 267.938324 
-L 208.494317 267.48381 
-L 208.654312 267.23159 
-L 208.678926 267.243167 
-L 209.011224 267.471192 
-L 209.048146 267.41689 
-L 209.343522 267.131866 
-L 209.614283 267.135149 
-L 209.872737 267.044144 
-L 210.18042 267.233471 
-L 210.192727 267.218115 
-L 210.475795 266.860941 
-L 210.525025 266.921069 
-L 210.8204 267.468187 
-L 210.894244 267.368759 
-L 211.165005 266.832727 
-L 211.214235 266.88769 
-L 211.521918 267.575443 
-L 211.608069 267.419427 
-L 211.977289 266.336737 
-L 212.038825 266.39005 
-L 212.38343 266.695769 
-L 212.654191 266.634399 
-L 212.924952 267.061375 
-L 213.195713 267.247535 
-L 213.663392 267.354579 
-L 214.057226 266.498343 
-L 214.143377 266.637049 
-L 214.487982 267.504595 
-L 214.549519 267.431929 
-L 214.918738 266.631335 
-L 215.00489 266.736159 
-L 215.275651 267.121662 
-L 215.312573 267.09209 
-L 215.472568 266.717852 
-L 215.731022 266.239639 
-L 215.841787 266.4183 
-L 216.284851 267.464511 
-L 216.321773 267.446223 
-L 216.580227 267.399463 
-L 216.900217 267.757303 
-L 216.949446 267.697939 
-L 217.306359 267.078963 
-L 217.380203 267.151797 
-L 217.626349 267.356171 
-L 217.638656 267.347331 
-L 217.983261 267.119235 
-L 218.007876 267.15069 
-L 218.217101 267.336949 
-L 218.241715 267.314491 
-L 218.40171 266.925365 
-L 218.561706 266.646827 
-L 218.598628 266.67835 
-L 218.721701 267.05972 
-L 218.992462 267.889594 
-L 219.017076 267.87889 
-L 219.164764 267.612363 
-L 219.337067 267.448949 
-L 219.349374 267.455774 
-L 219.620135 267.578661 
-L 219.64475 267.538068 
-L 219.940126 266.978748 
-L 220.001662 267.064975 
-L 220.321653 267.775055 
-L 220.383189 267.701721 
-L 220.666258 267.290905 
-L 220.703179 267.320764 
-L 220.937019 267.500193 
-L 220.961633 267.471958 
-L 221.15855 266.977433 
-L 221.293931 266.825509 
-L 221.318546 266.843549 
-L 221.490848 267.207762 
-L 221.638536 267.355864 
-L 221.663151 267.337685 
-L 221.921604 267.046376 
-L 221.983141 267.152979 
-L 222.290824 268.033159 
-L 222.364668 267.884031 
-L 222.696966 266.611959 
-L 222.783117 266.776561 
-L 223.0908 267.727983 
-L 223.152336 267.65312 
-L 223.484634 266.969202 
-L 223.546171 267.031019 
-L 223.792317 267.283014 
-L 223.816932 267.258428 
-L 223.976927 266.859512 
-L 224.223073 266.383828 
-L 224.235381 266.389102 
-L 224.358454 266.58913 
-L 224.690752 267.161938 
-L 224.703059 267.156801 
-L 224.899976 266.916718 
-L 225.109201 266.814142 
-L 225.490728 266.884643 
-L 225.810718 266.701031 
-L 226.278396 266.866595 
-L 226.413777 266.995597 
-L 226.659923 267.75797 
-L 226.795304 267.952807 
-L 226.832226 267.923247 
-L 226.967606 267.537792 
-L 227.250675 266.768031 
-L 227.262982 266.773224 
-L 227.386055 266.998447 
-L 227.681431 267.54209 
-L 227.693738 267.536642 
-L 227.878348 267.293812 
-L 228.075265 267.202521 
-L 228.432177 267.31341 
-L 228.73986 266.973731 
-L 228.776782 267.015124 
-L 228.961392 267.511765 
-L 229.170617 267.87322 
-L 229.182924 267.866072 
-L 229.305997 267.630956 
-L 229.564451 267.122836 
-L 229.589066 267.136637 
-L 229.724446 267.400064 
-L 229.933671 267.743929 
-L 229.958285 267.730101 
-L 230.093666 267.445262 
-L 230.327505 266.979508 
-L 230.35212 266.993794 
-L 230.475193 267.269388 
-L 230.782876 268.025233 
-L 230.80749 268.013372 
-L 230.955178 267.748509 
-L 231.213632 267.417982 
-L 231.595159 267.491125 
-L 231.939764 266.856233 
-L 231.988993 266.898676 
-L 232.358213 267.426463 
-L 232.432057 267.346101 
-L 232.715125 267.107693 
-L 233.133574 267.284902 
-L 233.379721 267.172654 
-L 233.601252 267.526845 
-L 233.896628 267.811349 
-L 234.265848 267.922375 
-L 234.598145 267.634683 
-L 234.635067 267.676987 
-L 234.918136 268.009944 
-L 234.955058 267.966405 
-L 235.31197 267.269033 
-L 235.410429 267.410417 
-L 235.644268 267.741264 
-L 235.668882 267.726721 
-L 235.828878 267.435075 
-L 236.075024 267.152428 
-L 236.444244 267.373107 
-L 236.715005 267.71994 
-L 236.887307 267.768168 
-L 237.231912 267.602258 
-L 237.24422 267.618261 
-L 237.465751 267.830228 
-L 237.502673 267.791294 
-L 237.662668 267.334739 
-L 237.859586 266.90612 
-L 237.8842 266.920069 
-L 237.994966 267.17784 
-L 238.376493 268.147806 
-L 238.561103 268.038042 
-L 238.770327 267.652319 
-L 239.12724 266.86148 
-L 239.151854 266.877228 
-L 239.804142 267.642173 
-L 240.087211 268.74071 
-L 240.124133 268.696433 
-L 240.247206 268.157433 
-L 240.530274 266.913987 
-L 240.554889 266.92815 
-L 240.677962 267.252253 
-L 240.961031 267.919286 
-L 241.14564 267.806467 
-L 241.367172 267.787927 
-L 242.031768 267.951177 
-L 242.265607 267.833833 
-L 242.425602 268.143702 
-L 242.610212 268.414715 
-L 242.634826 268.398251 
-L 242.7579 268.106101 
-L 243.040968 267.382821 
-L 243.065583 267.393743 
-L 243.225578 267.670651 
-L 243.39788 267.824995 
-L 243.410188 267.817164 
-L 243.594797 267.52126 
-L 243.804022 267.368282 
-L 244.751686 267.592784 
-L 244.997832 267.355662 
-L 245.010139 267.364703 
-L 245.194749 267.685719 
-L 245.317822 267.794985 
-L 245.354744 267.762403 
-L 245.490125 267.358801 
-L 245.748579 266.514056 
-L 245.785501 266.541384 
-L 245.896267 266.91408 
-L 246.216257 268.251936 
-L 246.253179 268.225149 
-L 246.388559 267.838485 
-L 246.610091 267.368765 
-L 246.622399 267.374356 
-L 246.782394 267.61776 
-L 246.905467 267.692907 
-L 246.930082 267.671039 
-L 247.102384 267.281975 
-L 247.250072 267.111696 
-L 247.274687 267.131954 
-L 247.446989 267.521135 
-L 247.570062 267.658154 
-L 247.606984 267.621002 
-L 247.754672 267.169477 
-L 247.963897 266.692706 
-L 247.988511 266.70332 
-L 248.27158 266.968924 
-L 248.333116 266.865431 
-L 248.542341 266.513117 
-L 248.579263 266.552979 
-L 248.714643 267.042446 
-L 248.973097 267.88062 
-L 248.985404 267.875511 
-L 249.133092 267.633214 
-L 249.243858 267.56117 
-L 249.268473 267.586794 
-L 249.428468 268.026293 
-L 249.563848 268.247816 
-L 249.60077 268.208484 
-L 249.748458 267.687068 
-L 249.920761 267.23181 
-L 249.957683 267.262959 
-L 250.093063 267.694427 
-L 250.253058 268.082135 
-L 250.28998 268.054835 
-L 250.425361 267.635925 
-L 250.585356 267.269745 
-L 250.622278 267.312432 
-L 250.757659 267.862177 
-L 250.966883 268.597196 
-L 250.991498 268.583925 
-L 251.102264 268.275414 
-L 251.360717 267.561231 
-L 251.385332 267.571717 
-L 251.680708 267.774146 
-L 251.71763 267.720792 
-L 251.951469 267.457948 
-L 251.976083 267.47948 
-L 252.283766 267.911776 
-L 252.35761 267.796155 
-L 252.677601 267.162749 
-L 252.72683 267.200102 
-L 253.268352 267.995872 
-L 253.514499 268.455918 
-L 253.539113 268.437785 
-L 253.662186 268.105011 
-L 253.957562 267.16431 
-L 253.994484 267.18977 
-L 254.142172 267.577929 
-L 254.400626 268.103245 
-L 254.572928 267.989353 
-L 255.754431 267.024812 
-L 255.889812 267.216585 
-L 256.185187 267.753322 
-L 256.222109 267.722095 
-L 256.419026 267.280402 
-L 256.566714 267.141129 
-L 256.591329 267.159195 
-L 256.911319 267.534928 
-L 256.972856 267.438286 
-L 257.292846 266.840741 
-L 257.342076 266.888426 
-L 257.698988 267.338319 
-L 257.748217 267.290419 
-L 258.0559 267.082633 
-L 259.003564 267.663742 
-L 259.188174 267.528899 
-L 259.655852 266.986292 
-L 259.680467 267.006485 
-L 260.135838 267.315101 
-L 260.369677 267.280939 
-L 260.701974 267.477797 
-L 260.714282 267.462608 
-L 261.120423 266.940887 
-L 261.169653 266.988802 
-L 261.711175 267.81129 
-L 261.87117 267.968755 
-L 261.895784 267.946349 
-L 262.018858 267.608602 
-L 262.289619 266.737196 
-L 262.326541 266.769065 
-L 262.449614 267.179722 
-L 262.708068 268.012793 
-L 262.732682 268.002897 
-L 262.868063 267.733639 
-L 263.077287 267.44296 
-L 263.089595 267.448101 
-L 263.446507 267.540327 
-L 263.668039 267.41527 
-L 263.951107 267.648456 
-L 264.000336 267.570308 
-L 264.308019 266.888934 
-L 264.369556 266.977907 
-L 264.689546 267.784799 
-L 264.76339 267.691844 
-L 265.021844 267.249358 
-L 265.058766 267.284536 
-L 265.366449 267.845277 
-L 265.4526 267.703029 
-L 265.747976 267.01851 
-L 265.797205 267.078386 
-L 265.994123 267.727646 
-L 266.154118 268.016856 
-L 266.178732 268.002229 
-L 266.301806 267.708071 
-L 266.646411 266.814887 
-L 266.658718 266.81986 
-L 266.818713 267.038788 
-L 267.01563 267.168909 
-L 267.237162 266.871465 
-L 267.397157 266.852907 
-L 267.643304 266.983767 
-L 267.667918 266.946506 
-L 267.815606 266.425653 
-L 268.246362 263.678859 
-L 268.44328 260.448812 
-L 269.08326 248.067307 
-L 269.13249 248.059146 
-L 269.169411 248.121295 
-L 269.329407 248.838891 
-L 269.710934 250.457981 
-L 269.834007 250.375311 
-L 269.969387 250.309321 
-L 269.994002 250.340314 
-L 270.104768 250.748777 
-L 270.301685 252.56379 
-L 270.978588 259.38616 
-L 271.20012 259.700568 
-L 271.310885 260.092921 
-L 271.483188 261.808356 
-L 271.88933 265.940127 
-L 271.975481 265.873815 
-L 272.172398 265.568444 
-L 272.20932 265.610321 
-L 272.3447 266.101154 
-L 272.652383 267.107304 
-L 272.787764 266.929434 
-L 272.960067 266.795087 
-L 272.972374 266.803974 
-L 273.144676 267.113229 
-L 273.329286 267.297413 
-L 273.341593 267.291297 
-L 273.698506 267.084182 
-L 273.735428 267.147604 
-L 274.104647 267.665375 
-L 274.400023 267.637784 
-L 274.756935 267.889764 
-L 275.003082 267.833074 
-L 275.347687 268.288204 
-L 275.421531 268.180399 
-L 275.778443 267.517418 
-L 275.827672 267.555747 
-L 276.110741 267.720871 
-L 276.418424 267.590027 
-L 276.689185 267.891303 
-L 276.738414 267.830527 
-L 276.972253 267.152917 
-L 277.095327 267.036533 
-L 277.119941 267.058029 
-L 277.316858 267.490769 
-L 277.427624 267.577131 
-L 277.464546 267.542505 
-L 277.747615 267.059098 
-L 277.821458 267.198882 
-L 278.141449 268.280823 
-L 278.2276 268.120644 
-L 278.522976 267.190528 
-L 278.584512 267.291 
-L 278.892195 268.244454 
-L 278.966039 268.110248 
-L 279.322952 266.862045 
-L 279.409103 267.017698 
-L 279.901396 268.179026 
-L 280.29523 267.931598 
-L 280.935211 267.33388 
-L 281.550577 267.331611 
-L 281.772109 267.03901 
-L 282.030562 266.81192 
-L 282.17825 267.025424 
-L 282.485933 267.423879 
-L 282.818231 267.386508 
-L 283.212065 268.019007 
-L 283.273602 267.965461 
-L 283.55667 267.800776 
-L 283.839739 267.832555 
-L 284.098192 267.685451 
-L 284.1105 267.698996 
-L 284.319724 268.147909 
-L 284.442797 268.247542 
-L 284.467412 268.226672 
-L 284.6151 267.876493 
-L 284.824324 267.518964 
-L 284.836632 267.524955 
-L 284.98432 267.764203 
-L 285.181237 267.94396 
-L 285.193544 267.936052 
-L 285.550456 267.792269 
-L 285.759681 267.893149 
-L 285.771988 267.880887 
-L 286.079671 267.501908 
-L 286.141208 267.596435 
-L 286.424276 268.135124 
-L 286.473505 268.083629 
-L 286.793496 267.5642 
-L 286.855032 267.633052 
-L 287.101179 267.863409 
-L 287.113486 267.8546 
-L 287.408862 267.683491 
-L 287.433477 267.717039 
-L 287.667316 267.996698 
-L 287.704238 267.962525 
-L 287.987306 267.492685 
-L 288.06115 267.629833 
-L 288.368833 268.579644 
-L 288.442677 268.486452 
-L 288.787282 267.834086 
-L 288.824204 267.853313 
-L 288.984199 267.828786 
-L 289.304189 267.27418 
-L 289.378033 267.394715 
-L 289.587258 267.7707 
-L 289.62418 267.724676 
-L 289.75956 267.192112 
-L 289.981092 266.4278 
-L 290.005707 266.44506 
-L 290.12878 266.802602 
-L 290.325697 267.298545 
-L 290.362619 267.274964 
-L 290.559536 266.83708 
-L 290.657995 266.781754 
-L 290.694917 266.818018 
-L 290.941063 267.128192 
-L 290.990292 267.061842 
-L 291.297976 266.451701 
-L 291.371819 266.53716 
-L 291.531815 266.702155 
-L 291.568737 266.664321 
-L 291.704117 266.226764 
-L 291.901034 265.663283 
-L 291.937956 265.697936 
-L 292.061029 266.14981 
-L 292.319483 267.000198 
-L 292.331791 266.993338 
-L 292.467171 266.727588 
-L 292.627166 266.523887 
-L 292.651781 266.539286 
-L 292.836391 266.880253 
-L 292.996386 266.975676 
-L 293.008693 266.966596 
-L 293.599445 266.30933 
-L 293.820976 265.861 
-L 293.857898 265.888814 
-L 293.980972 266.243885 
-L 294.251733 267.038139 
-L 294.276347 267.017458 
-L 294.399421 266.664767 
-L 294.744026 265.669971 
-L 294.879406 265.824418 
-L 295.13786 266.08917 
-L 295.150167 266.080873 
-L 295.297855 265.809714 
-L 295.64246 265.16002 
-L 296.048602 265.178821 
-L 296.368592 264.842125 
-L 296.528587 264.730301 
-L 296.688582 264.170037 
-L 297.291641 261.692194 
-L 297.685475 259.763002 
-L 297.8947 257.380852 
-L 298.21469 250.502063 
-L 298.485451 240.156308 
-L 298.793134 217.947132 
-L 299.445422 150.449827 
-L 300.479237 50.723221 
-L 300.639233 47.691284 
-L 300.663847 47.794377 
-L 300.749998 49.471485 
-L 300.922301 58.651753 
-L 301.47613 107.097554 
-L 301.943809 161.94713 
-L 302.596097 236.152314 
-L 302.90378 248.917578 
-L 303.22377 253.662977 
-L 303.752985 258.553325 
-L 304.294507 261.371603 
-L 304.306814 261.368049 
-L 304.528346 261.339845 
-L 304.540653 261.36567 
-L 304.700649 262.039393 
-L 304.92218 262.778206 
-L 304.946795 262.758279 
-L 305.057561 262.418089 
-L 305.439088 261.186638 
-L 305.586776 260.746576 
-L 305.783693 259.166349 
-L 306.694435 250.733856 
-L 306.940581 249.187276 
-L 307.272879 244.716133 
-L 307.457489 243.426447 
-L 307.482103 243.44276 
-L 307.568255 243.886015 
-L 307.752864 246.480973 
-L 308.195928 252.488885 
-L 308.860523 256.986733 
-L 309.512811 264.063376 
-L 310.189714 265.771963 
-L 310.386631 265.921856 
-L 310.792773 266.321891 
-L 311.038919 266.476633 
-L 311.346602 266.648606 
-L 311.752744 266.452681 
-L 312.134271 265.93102 
-L 312.208115 266.028964 
-L 312.55272 266.635565 
-L 312.601949 266.588669 
-L 313.069627 266.120214 
-L 313.266544 266.009256 
-L 313.512691 265.898325 
-L 313.672686 266.191327 
-L 314.029598 266.800086 
-L 314.177286 266.703315 
-L 314.57112 266.199396 
-L 314.62035 266.262716 
-L 314.829574 266.883955 
-L 314.989569 267.14366 
-L 315.014184 267.129069 
-L 315.149565 266.825905 
-L 315.383404 266.375643 
-L 315.395711 266.381324 
-L 315.543399 266.622571 
-L 315.715701 266.801642 
-L 315.740316 266.785926 
-L 316.035692 266.489679 
-L 316.097228 266.590079 
-L 316.367989 267.131692 
-L 316.417219 267.07703 
-L 316.601828 266.486422 
-L 316.761824 266.213365 
-L 316.786438 266.231811 
-L 316.921819 266.552467 
-L 317.143351 266.955616 
-L 317.155658 266.951258 
-L 317.32796 266.725922 
-L 317.463341 266.671692 
-L 317.487956 266.694033 
-L 317.832561 267.111717 
-L 317.894097 267.028818 
-L 318.238702 266.57681 
-L 318.25101 266.585145 
-L 319.124829 267.151793 
-L 319.370976 267.023466 
-L 319.76481 266.626033 
-L 320.047878 266.268537 
-L 320.060186 266.277684 
-L 320.195566 266.56503 
-L 320.490942 267.280134 
-L 320.515557 267.265953 
-L 320.63863 267.003242 
-L 320.909391 266.417823 
-L 320.934006 266.429173 
-L 321.081694 266.687878 
-L 321.290918 266.942889 
-L 321.303225 266.936531 
-L 321.46322 266.695307 
-L 321.660138 266.516361 
-L 321.672445 266.523254 
-L 321.857055 266.794801 
-L 322.053972 266.924641 
-L 322.250889 266.661905 
-L 322.484728 266.506476 
-L 322.903177 266.507714 
-L 323.309319 266.275286 
-L 323.493929 266.542746 
-L 323.727768 266.853822 
-L 323.752382 266.837949 
-L 323.875455 266.553539 
-L 324.183139 265.554767 
-L 324.232368 265.6038 
-L 324.367748 266.125798 
-L 324.601587 266.996012 
-L 324.638509 266.963187 
-L 324.749275 266.517237 
-L 325.09388 264.781224 
-L 325.130802 264.816035 
-L 325.266183 265.267369 
-L 325.512329 265.908688 
-L 325.524637 265.902774 
-L 325.64771 265.677152 
-L 325.943085 265.185335 
-L 326.275383 265.175618 
-L 326.607681 264.748873 
-L 326.644603 264.779325 
-L 326.989208 265.119596 
-L 327.02613 265.077438 
-L 327.493808 264.590328 
-L 327.727647 264.589678 
-L 328.269169 264.113584 
-L 328.613774 263.312351 
-L 328.663004 263.350784 
-L 328.872228 263.577416 
-L 328.921457 263.504131 
-L 329.056838 262.875802 
-L 329.450672 260.961425 
-L 329.610667 260.71453 
-L 329.758355 259.724846 
-L 330.435258 251.8956 
-L 330.767556 243.811466 
-L 331.333692 224.968178 
-L 333.807464 129.38605 
-L 333.979766 127.923149 
-L 334.004381 127.974787 
-L 334.090532 128.697817 
-L 334.262835 132.659786 
-L 334.533596 145.026699 
-L 334.988967 177.45945 
-L 335.776635 235.905606 
-L 336.17047 248.036796 
-L 336.576611 253.353981 
-L 336.85968 255.233612 
-L 337.475046 256.376502 
-L 337.524275 256.319202 
-L 337.708885 255.758461 
-L 338.250407 253.375948 
-L 339.825744 243.172215 
-L 339.948817 242.933049 
-L 340.244193 241.859485 
-L 340.318037 242.048685 
-L 340.465725 243.342142 
-L 341.278008 251.787289 
-L 342.139521 260.09539 
-L 342.397974 261.179757 
-L 342.890267 261.902255 
-L 343.296409 262.32668 
-L 343.444097 262.182408 
-L 343.690243 261.531365 
-L 344.330224 259.809797 
-L 344.674829 258.728332 
-L 345.351731 255.930199 
-L 346.69323 247.387591 
-L 346.890147 246.916727 
-L 346.914761 246.927359 
-L 347.025527 247.185182 
-L 347.308596 248.698399 
-L 347.714737 251.699932 
-L 348.256259 255.815076 
-L 349.314689 263.482175 
-L 349.437762 263.541749 
-L 349.462377 263.523988 
-L 349.708523 263.456635 
-L 350.410041 264.378493 
-L 350.680802 264.762083 
-L 350.939255 264.8777 
-L 351.210016 265.222935 
-L 351.246938 265.183014 
-L 351.406934 264.730268 
-L 351.628465 264.294486 
-L 351.640773 264.301081 
-L 351.788461 264.551802 
-L 351.936148 264.701663 
-L 351.960763 264.680746 
-L 352.083836 264.357772 
-L 352.89612 260.734136 
-L 353.314568 257.162227 
-L 354.434535 246.769651 
-L 354.988364 245.569278 
-L 355.123745 245.7439 
-L 355.271433 245.878397 
-L 355.308355 245.844334 
-L 355.456042 245.426626 
-L 355.640652 245.005014 
-L 355.665267 245.028495 
-L 355.763725 245.375577 
-L 356.576009 250.632421 
-L 356.945228 253.319498 
-L 357.203682 254.559923 
-L 357.905199 259.048211 
-L 358.815941 263.528059 
-L 359.812834 265.111502 
-L 360.034366 265.082614 
-L 360.268205 265.072989 
-L 360.465122 265.437229 
-L 360.686654 265.689503 
-L 360.698961 265.683551 
-L 360.883571 265.437192 
-L 361.080488 265.33534 
-L 362.052767 266.113596 
-L 362.569674 266.746952 
-L 362.643518 266.616363 
-L 363.037352 265.48704 
-L 363.123504 265.594946 
-L 363.68964 266.595754 
-L 363.861943 266.42858 
-L 364.218855 265.903083 
-L 364.255777 265.936679 
-L 364.538846 266.318884 
-L 364.600382 266.215509 
-L 364.797299 265.36872 
-L 364.994217 264.896295 
-L 365.006524 264.90144 
-L 365.215748 265.042223 
-L 365.25267 264.953569 
-L 365.375744 264.156218 
-L 365.818807 260.516091 
-L 365.855729 260.540212 
-L 366.003417 260.6563 
-L 366.040339 260.602985 
-L 366.163412 260.01835 
-L 367.3203 252.308215 
-L 367.800286 252.011479 
-L 367.812593 252.02743 
-L 367.997203 252.493688 
-L 368.440267 254.23911 
-L 369.830994 263.259053 
-L 370.212521 264.212981 
-L 370.44636 264.789007 
-L 370.458667 264.784573 
-L 370.569433 264.594738 
-L 370.790965 264.196552 
-L 370.81558 264.215032 
-L 370.95096 264.553894 
-L 371.160185 264.997797 
-L 371.184799 264.98188 
-L 371.32018 264.674901 
-L 371.50479 264.374437 
-L 371.529404 264.392893 
-L 371.763243 264.736825 
-L 371.82478 264.603696 
-L 371.960161 263.663627 
-L 372.440146 259.948029 
-L 372.637063 259.161227 
-L 372.944746 256.499608 
-L 373.683186 250.778524 
-L 373.941639 249.765277 
-L 374.015483 249.883777 
-L 374.175478 250.769644 
-L 375.393903 260.649186 
-L 375.738508 263.041579 
-L 376.107728 264.062917 
-L 376.440026 265.361641 
-L 376.575406 265.199581 
-L 376.723094 265.097805 
-L 376.747709 265.117054 
-L 376.907704 265.457188 
-L 377.264616 266.131063 
-L 377.559992 266.287313 
-L 377.756909 266.019221 
-L 377.966133 265.899782 
-L 378.286124 265.974959 
-L 378.495348 265.867503 
-L 378.507656 265.881704 
-L 378.643036 266.241926 
-L 378.889183 266.893202 
-L 378.913797 266.877239 
-L 379.024563 266.594971 
-L 379.344553 265.731758 
-L 379.356861 265.736826 
-L 379.541471 265.976471 
-L 379.77531 266.100767 
-L 380.316832 266.057594 
-L 380.513749 265.95426 
-L 380.870661 266.195094 
-L 380.907583 266.136758 
-L 381.141422 265.818903 
-L 381.178344 265.855593 
-L 381.313725 266.266638 
-L 381.633715 267.248026 
-L 381.646023 267.243499 
-L 381.756788 267.057461 
-L 382.212159 266.064605 
-L 382.224467 266.07037 
-L 382.384462 266.29563 
-L 382.679838 266.63886 
-L 382.962906 266.641528 
-L 383.135208 267.180224 
-L 383.35674 267.725654 
-L 383.381355 267.711779 
-L 383.492121 267.442407 
-L 383.849033 266.377138 
-L 383.873648 266.393399 
-L 384.021336 266.708248 
-L 384.390555 267.474699 
-L 384.55055 267.420364 
-L 384.833619 266.993332 
-L 385.252068 266.412343 
-L 385.264375 266.419646 
-L 385.387448 266.663884 
-L 385.756668 267.959437 
-L 385.842819 267.8291 
-L 386.199731 266.735533 
-L 386.285883 266.838828 
-L 386.544336 267.174431 
-L 386.568951 267.155508 
-L 386.85202 266.921239 
-L 386.888941 266.965825 
-L 387.135088 267.293268 
-L 387.184317 267.238322 
-L 387.35662 266.688706 
-L 387.565844 266.250123 
-L 387.578151 266.254843 
-L 387.713532 266.467487 
-L 387.971986 266.775676 
-L 388.18121 266.881512 
-L 388.501201 267.341753 
-L 388.55043 267.290153 
-L 388.882728 266.803862 
-L 388.944264 266.870041 
-L 389.178103 267.077938 
-L 389.202718 267.053933 
-L 389.522708 266.581895 
-L 389.596552 266.693448 
-L 389.879621 267.251781 
-L 389.92885 267.208922 
-L 390.261148 266.649449 
-L 390.347299 266.766238 
-L 390.654982 267.179516 
-L 390.667289 267.172759 
-L 391.024201 267.057291 
-L 391.208811 267.064861 
-L 391.381114 266.676075 
-L 391.590338 266.327113 
-L 391.614953 266.343167 
-L 391.750333 266.645382 
-L 392.058017 267.296833 
-L 392.193397 267.150385 
-L 392.734919 266.402461 
-L 392.857992 266.579693 
-L 393.301056 267.809226 
-L 393.399515 267.706136 
-L 393.707198 267.391444 
-L 393.977959 267.379996 
-L 394.322564 266.959939 
-L 394.371793 267.020423 
-L 394.765627 267.732909 
-L 394.839471 267.640782 
-L 395.25792 267.042235 
-L 395.270227 267.049948 
-L 395.688676 267.220475 
-L 395.922515 267.196365 
-L 396.094818 267.523319 
-L 396.365579 267.961018 
-L 396.377886 267.955213 
-L 396.50096 267.747914 
-L 396.882487 266.90248 
-L 396.919408 266.930749 
-L 397.091711 267.306792 
-L 397.337857 267.708136 
-L 397.350165 267.703261 
-L 397.485545 267.49134 
-L 397.756306 267.036631 
-L 397.780921 267.051356 
-L 397.916302 267.322851 
-L 398.19937 267.859616 
-L 398.211677 267.852921 
-L 398.359365 267.597046 
-L 398.617819 267.249741 
-L 399.060882 267.314793 
-L 399.368565 267.019091 
-L 399.565483 267.245332 
-L 399.799322 267.399627 
-L 399.971624 267.207907 
-L 400.242385 266.965714 
-L 400.414688 267.216644 
-L 400.574683 267.363583 
-L 400.599298 267.343076 
-L 400.722371 267.029452 
-L 400.993132 266.209308 
-L 401.030054 266.243429 
-L 401.153127 266.684527 
-L 401.448503 267.796233 
-L 401.473117 267.781098 
-L 401.608498 267.454547 
-L 401.83003 267.045625 
-L 401.842337 267.049535 
-L 402.039254 267.276038 
-L 402.186942 267.253451 
-L 402.457703 267.006284 
-L 402.494625 267.049055 
-L 402.679235 267.54856 
-L 402.925381 268.002554 
-L 403.048455 267.853928 
-L 403.319216 266.997133 
-L 403.565362 266.526613 
-L 403.676128 266.664698 
-L 404.156114 267.59924 
-L 404.193035 267.576292 
-L 404.636099 267.367191 
-L 404.820709 267.655447 
-L 405.103777 268.112079 
-L 405.128392 268.093284 
-L 405.263772 267.761707 
-L 405.583763 266.933784 
-L 405.59607 266.939969 
-L 405.731451 267.167098 
-L 406.063748 267.66376 
-L 406.519119 267.902554 
-L 406.543734 267.862332 
-L 406.863724 267.392733 
-L 406.900646 267.42336 
-L 407.171407 267.680748 
-L 407.208329 267.639283 
-L 407.552934 267.032249 
-L 407.626778 267.144985 
-L 408.082149 268.073415 
-L 408.119071 268.050711 
-L 408.746744 267.68161 
-L 409.115964 267.943571 
-L 409.325189 267.578176 
-L 409.657486 267.140398 
-L 409.879018 267.12617 
-L 410.063628 267.414666 
-L 410.297467 267.698169 
-L 410.309774 267.691399 
-L 410.457462 267.452822 
-L 410.629765 267.236681 
-L 410.666687 267.26621 
-L 410.802067 267.638733 
-L 411.060521 268.347894 
-L 411.085136 268.331685 
-L 411.195901 268.048521 
-L 411.589736 266.913301 
-L 411.811267 267.051728 
-L 412.082029 267.367185 
-L 412.389712 267.925669 
-L 412.426634 267.887868 
-L 412.562014 267.475761 
-L 412.832775 266.671707 
-L 412.85739 266.684635 
-L 412.980463 266.949878 
-L 413.17738 267.317422 
-L 413.201995 267.301 
-L 413.325068 267.010745 
-L 413.509678 266.6236 
-L 413.5466 266.665266 
-L 413.669673 267.162151 
-L 413.940434 268.348385 
-L 413.965049 268.327327 
-L 414.075815 267.932343 
-L 414.334268 266.912623 
-L 414.37119 266.94495 
-L 414.506571 267.422874 
-L 414.728103 268.071326 
-L 414.752717 268.058604 
-L 414.875791 267.780808 
-L 415.10963 267.317335 
-L 415.134244 267.328555 
-L 415.294239 267.588045 
-L 415.478849 267.745806 
-L 415.491157 267.738196 
-L 415.651152 267.482576 
-L 415.971142 267.047858 
-L 416.475742 266.995215 
-L 416.697274 267.191083 
-L 416.968035 267.358819 
-L 417.349562 267.148397 
-L 417.386484 267.225406 
-L 417.780318 268.226376 
-L 417.854162 268.13332 
-L 418.309533 267.465003 
-L 418.494143 267.339322 
-L 418.912592 266.924311 
-L 419.294119 267.183474 
-L 419.724875 267.451469 
-L 420.007944 267.531299 
-L 420.204861 267.543707 
-L 420.426393 267.178497 
-L 420.62331 267.05575 
-L 420.844841 267.034769 
-L 421.164832 266.491973 
-L 421.238676 266.623297 
-L 421.570973 267.611599 
-L 421.644817 267.515135 
-L 421.927886 266.994135 
-L 421.977115 267.02954 
-L 422.186339 267.158408 
-L 422.210954 267.127779 
-L 422.518637 266.522924 
-L 422.604788 266.676017 
-L 422.863242 267.302216 
-L 422.912471 267.24912 
-L 423.220155 266.545305 
-L 423.306306 266.677336 
-L 423.552452 267.124732 
-L 423.589374 267.088768 
-L 423.933979 266.510371 
-L 424.02013 266.599342 
-L 424.229355 266.701516 
-L 424.598575 266.535285 
-L 424.795492 266.570097 
-L 425.07856 266.208366 
-L 425.140097 266.302728 
-L 425.509316 267.290382 
-L 425.595468 267.175627 
-L 425.841614 266.876902 
-L 425.853921 266.884359 
-L 426.235448 267.041762 
-L 426.493902 266.879912 
-L 427.072346 267.447018 
-L 427.269263 267.576935 
-L 427.281571 267.567202 
-L 427.429258 267.260956 
-L 427.687712 266.778841 
-L 427.70002 266.783207 
-L 427.884629 267.013112 
-L 428.056932 267.054893 
-L 428.266156 267.048104 
-L 428.438459 267.529531 
-L 428.623069 267.891183 
-L 428.647683 267.873145 
-L 428.770756 267.549937 
-L 429.041518 266.85936 
-L 429.053825 266.865765 
-L 429.176898 267.095477 
-L 429.521503 267.72315 
-L 429.743035 267.66098 
-L 429.927645 267.350076 
-L 430.346094 266.458208 
-L 430.370708 266.474039 
-L 430.518396 266.750571 
-L 430.875308 267.501163 
-L 430.899923 267.486686 
-L 431.035304 267.210571 
-L 431.256835 266.766759 
-L 431.28145 266.785509 
-L 431.392216 267.089018 
-L 431.638362 267.886051 
-L 431.675284 267.847046 
-L 431.798358 267.354107 
-L 432.007582 266.523478 
-L 432.044504 266.553139 
-L 432.15527 267.003495 
-L 432.401416 268.063731 
-L 432.438338 268.024729 
-L 432.573719 267.50364 
-L 432.746021 267.012968 
-L 432.782943 267.045176 
-L 432.918324 267.491002 
-L 433.090626 267.907412 
-L 433.115241 267.889657 
-L 433.226007 267.575536 
-L 433.545997 266.689081 
-L 433.730607 266.866363 
-L 434.087519 267.076208 
-L 434.235207 267.001119 
-L 434.518276 266.586109 
-L 434.579812 266.67932 
-L 434.789037 267.518032 
-L 434.899803 267.71037 
-L 434.936725 267.659515 
-L 435.072105 267.034291 
-L 435.293637 266.118236 
-L 435.318252 266.13156 
-L 435.429017 266.458958 
-L 435.662857 267.117186 
-L 435.687471 267.101617 
-L 435.933618 266.779974 
-L 436.007462 266.907781 
-L 436.241301 267.47551 
-L 436.302837 267.398224 
-L 436.61052 266.427515 
-L 436.708979 266.623215 
-L 436.955125 267.308353 
-L 437.004355 267.259817 
-L 437.262808 266.747379 
-L 437.324345 266.858387 
-L 437.656643 267.985424 
-L 437.742794 267.830808 
-L 438.062784 267.039476 
-L 438.099706 267.061342 
-L 439.059677 267.827835 
-L 439.23198 267.912841 
-L 439.41659 267.993017 
-L 439.428897 267.980437 
-L 439.564277 267.636249 
-L 439.810424 266.94328 
-L 439.847346 266.97364 
-L 439.970419 267.398614 
-L 440.278102 268.543586 
-L 440.302717 268.527833 
-L 440.42579 268.229887 
-L 440.79501 267.333788 
-L 440.991927 267.350602 
-L 441.373454 267.461334 
-L 441.705751 267.029888 
-L 441.767288 267.116416 
-L 442.099586 267.921891 
-L 442.185737 267.785629 
-L 442.505727 266.920904 
-L 442.579571 267.002322 
-L 443.059557 267.733265 
-L 443.207245 267.943808 
-L 443.416469 268.268681 
-L 443.453391 268.224823 
-L 443.576464 267.734577 
-L 443.896455 266.107409 
-L 443.945684 266.156562 
-L 444.093372 266.753658 
-L 444.327211 267.453359 
-L 444.339518 267.450888 
-L 444.474899 267.267172 
-L 444.671816 267.132601 
-L 444.942577 267.219843 
-L 444.954884 267.201286 
-L 445.25026 266.722508 
-L 445.311797 266.807321 
-L 445.57025 267.351995 
-L 445.631787 267.272407 
-L 445.804089 266.560278 
-L 445.988699 266.068015 
-L 446.013314 266.08559 
-L 446.136387 266.418521 
-L 446.357919 266.94555 
-L 446.382534 266.927704 
-L 446.505607 266.616797 
-L 446.837904 265.795953 
-L 447.674802 265.308645 
-L 447.896334 265.009106 
-L 447.920949 265.025417 
-L 448.056329 265.308761 
-L 448.290168 265.750415 
-L 448.314783 265.734181 
-L 448.450164 265.432764 
-L 448.659388 265.010747 
-L 448.684003 265.025347 
-L 448.794769 265.3157 
-L 449.114759 267.1885 
-L 449.348598 267.844943 
-L 449.459364 267.770656 
-L 449.791662 267.328666 
-L 449.840891 267.376646 
-L 450.07473 267.909903 
-L 450.247032 268.068774 
-L 450.25934 268.061581 
-L 450.419335 267.797903 
-L 450.677789 267.457056 
-L 450.690096 267.464011 
-L 450.825477 267.707175 
-L 451.157774 268.484906 
-L 451.194696 268.453757 
-L 451.330077 268.072852 
-L 451.600838 267.32025 
-L 451.625452 267.336118 
-L 451.748526 267.628601 
-L 451.970057 268.104483 
-L 451.994672 268.084214 
-L 452.117745 267.74807 
-L 452.413121 266.994722 
-L 452.573116 267.187533 
-L 452.757726 267.264424 
-L 452.954643 267.269811 
-L 453.090024 267.674674 
-L 453.410014 268.721549 
-L 453.434629 268.703151 
-L 453.557702 268.389243 
-L 454.062302 266.909077 
-L 454.271527 266.810806 
-L 454.517673 267.057069 
-L 454.739205 267.105562 
-L 455.034581 267.130483 
-L 455.280727 267.131011 
-L 455.539181 267.120705 
-L 455.846864 267.298385 
-L 455.859171 267.284622 
-L 456.228391 266.801703 
-L 456.289927 266.877079 
-L 456.59761 267.179352 
-L 456.892986 267.082986 
-L 457.200669 267.405691 
-L 457.237591 267.363277 
-L 457.569889 266.862878 
-L 457.631425 266.929325 
-L 457.988338 267.352482 
-L 458.012952 267.335159 
-L 458.296021 267.228784 
-L 458.677548 267.438865 
-L 458.689855 267.4237 
-L 458.936001 266.901481 
-L 459.21907 266.497599 
-L 459.342143 266.616132 
-L 459.563675 267.267453 
-L 459.846743 267.837514 
-L 459.969816 267.7245 
-L 460.425187 267.040726 
-L 460.462109 267.069165 
-L 460.646719 267.428508 
-L 460.929788 267.847135 
-L 461.065168 267.661654 
-L 461.459002 267.053163 
-L 462.049754 267.007802 
-L 462.369744 266.781049 
-L 462.529739 267.028065 
-L 462.837422 267.448836 
-L 462.997418 267.22377 
-L 463.268179 266.937884 
-L 463.428174 267.127011 
-L 463.871237 267.729851 
-L 464.006618 267.511547 
-L 464.314301 266.914031 
-L 464.351223 266.944913 
-L 464.511218 267.334683 
-L 464.720443 267.681243 
-L 464.73275 267.675094 
-L 464.86813 267.451984 
-L 465.10197 267.169962 
-L 465.42196 267.21914 
-L 465.705028 266.799628 
-L 465.754258 266.855167 
-L 466.074248 267.462525 
-L 466.160399 267.344408 
-L 466.43116 266.874119 
-L 466.468082 266.900266 
-L 466.812687 267.321343 
-L 466.886531 267.221581 
-L 467.144985 266.94466 
-L 467.157292 266.952534 
-L 467.366517 267.259423 
-L 467.563434 267.344364 
-L 468.043419 267.201461 
-L 468.412639 267.157387 
-L 469.028005 267.067208 
-L 469.274151 267.166334 
-L 469.594142 267.093841 
-L 469.815674 267.658315 
-L 469.963361 267.837159 
-L 469.987976 267.818968 
-L 470.111049 267.52751 
-L 470.43104 266.696196 
-L 470.455654 266.707022 
-L 470.591035 266.945343 
-L 470.898718 267.431993 
-L 471.058713 267.272519 
-L 471.354089 267.032671 
-L 471.538699 267.248168 
-L 471.821767 267.495881 
-L 472.006377 267.293317 
-L 472.252523 267.119642 
-L 472.474055 267.320593 
-L 472.81866 267.510618 
-L 473.261724 267.747813 
-L 473.286338 267.706713 
-L 473.667865 266.934095 
-L 473.741709 267.022078 
-L 474.19708 267.945076 
-L 474.283231 267.864564 
-L 474.689373 267.15307 
-L 474.960134 266.723072 
-L 474.984749 266.73866 
-L 475.095515 267.001017 
-L 475.477042 268.52459 
-L 475.550885 268.388116 
-L 475.735495 267.386924 
-L 475.993949 266.43031 
-L 476.104715 266.539587 
-L 476.313939 266.769146 
-L 476.338554 266.749308 
-L 476.486242 266.415945 
-L 476.757003 265.942468 
-L 476.990842 265.912028 
-L 477.126223 265.341516 
-L 477.446213 263.688048 
-L 477.495442 263.737038 
-L 477.630823 264.298067 
-L 477.840047 265.007707 
-L 477.864662 264.990935 
-L 477.975428 264.652758 
-L 478.221574 263.836951 
-L 478.258496 263.87195 
-L 478.393877 264.357518 
-L 478.640023 265.124459 
-L 478.65233 265.118939 
-L 478.763096 264.884513 
-L 479.070779 264.106615 
-L 479.095394 264.121508 
-L 479.218467 264.40739 
-L 479.538458 266.021405 
-L 479.772297 266.631374 
-L 479.919985 266.542756 
-L 480.104594 266.520519 
-L 480.609195 266.949725 
-L 480.732268 267.009495 
-L 480.929185 267.546116 
-L 481.076873 267.769697 
-L 481.113795 267.73762 
-L 481.261483 267.305612 
-L 481.507629 266.747701 
-L 481.519936 266.753012 
-L 481.667624 266.983298 
-L 481.963 267.342131 
-L 482.381449 267.600123 
-L 482.418371 267.53955 
-L 482.689132 267.139177 
-L 482.726054 267.172687 
-L 482.996815 267.570586 
-L 483.058352 267.479153 
-L 483.415264 266.484259 
-L 483.52603 266.61779 
-L 483.698332 266.761438 
-L 483.722947 266.73796 
-L 484.018323 266.296708 
-L 484.092167 266.422747 
-L 484.326006 266.921591 
-L 484.375235 266.854326 
-L 484.510615 266.251176 
-L 484.867528 264.727606 
-L 485.298284 264.471779 
-L 485.581352 264.46312 
-L 485.790577 263.810057 
-L 485.91365 263.627152 
-L 485.950572 263.66834 
-L 486.085953 264.177771 
-L 486.430558 265.394322 
-L 486.590553 265.82653 
-L 486.959772 267.640282 
-L 487.045924 267.500482 
-L 487.328992 266.72495 
-L 487.390529 266.779044 
-L 487.636675 267.052486 
-L 487.673597 267.01339 
-L 487.907436 266.748984 
-L 487.944358 266.78925 
-L 488.239734 267.320303 
-L 488.313578 267.192517 
-L 488.559724 266.64217 
-L 488.608954 266.702611 
-L 488.928944 267.522573 
-L 489.027402 267.366599 
-L 489.17509 267.148263 
-L 489.212012 267.181373 
-L 489.335086 267.599011 
-L 489.519695 268.225233 
-L 489.556617 268.192499 
-L 489.667383 267.679829 
-L 489.950452 266.11099 
-L 489.987374 266.152282 
-L 490.135061 266.749478 
-L 490.282749 267.132388 
-L 490.319671 267.101347 
-L 490.491974 266.584793 
-L 490.578125 266.474176 
-L 490.615047 266.518137 
-L 490.73812 267.03676 
-L 490.959652 267.891404 
-L 490.984267 267.864559 
-L 491.095032 267.432167 
-L 491.328872 266.527778 
-L 491.353486 266.548994 
-L 491.476559 266.966445 
-L 491.673477 267.563153 
-L 491.710399 267.536889 
-L 491.858086 267.112921 
-L 491.98116 266.905392 
-L 492.018082 266.951701 
-L 492.141155 267.481873 
-L 492.387301 268.535857 
-L 492.411916 268.514685 
-L 492.522682 268.11594 
-L 492.768828 267.193757 
-L 492.793443 267.216275 
-L 492.904209 267.583778 
-L 493.125741 268.343117 
-L 493.162662 268.316029 
-L 493.273428 267.934411 
-L 493.568804 266.817809 
-L 493.593419 266.828372 
-L 493.716492 267.087871 
-L 493.99956 267.609801 
-L 494.504161 267.457763 
-L 494.984146 267.317802 
-L 495.451824 267.591675 
-L 495.796429 268.498723 
-L 495.845659 268.448094 
-L 496.017961 267.928692 
-L 496.2518 267.482701 
-L 496.43641 267.629627 
-L 496.608713 267.632101 
-L 497.224079 267.272537 
-L 497.396381 267.40589 
-L 497.679449 267.70985 
-L 497.704064 267.684923 
-L 497.864059 267.285547 
-L 498.097898 266.84771 
-L 498.110206 266.852631 
-L 498.282508 267.087669 
-L 498.417889 267.140665 
-L 498.442503 267.116139 
-L 498.737879 266.730789 
-L 498.799416 266.822158 
-L 499.107099 267.455304 
-L 499.168635 267.377041 
-L 499.488626 266.77895 
-L 499.550162 266.841965 
-L 499.88246 267.173887 
-L 500.227065 267.050587 
-L 500.423982 267.034343 
-L 500.768587 266.813042 
-L 500.780894 266.825915 
-L 501.113192 267.054741 
-L 501.347031 266.953673 
-L 501.359339 266.967975 
-L 501.543948 267.410711 
-L 501.703944 267.632195 
-L 501.728558 267.613645 
-L 501.863939 267.278365 
-L 502.147007 266.655306 
-L 502.737759 266.877875 
-L 503.094671 267.776032 
-L 503.168515 267.673498 
-L 503.599271 266.702511 
-L 503.660808 266.754509 
-L 503.968491 267.299226 
-L 504.214637 267.538441 
-L 504.350018 267.333227 
-L 504.682315 266.685871 
-L 504.70693 266.70421 
-L 504.866925 267.035778 
-L 505.149994 267.47614 
-L 506.060735 267.712368 
-L 506.319189 267.94037 
-L 506.676101 267.710722 
-L 506.713023 267.779991 
-L 506.983785 268.303594 
-L 507.033014 268.244413 
-L 507.180702 267.673948 
-L 507.488385 266.611517 
-L 507.599151 266.777735 
-L 507.857604 267.189419 
-L 507.882219 267.173144 
-L 508.054521 266.853427 
-L 508.276053 266.635068 
-L 508.632966 266.733371 
-L 509.199102 265.880395 
-L 509.334483 265.795754 
-L 509.580629 265.183949 
-L 509.71601 265.062951 
-L 509.740625 265.082244 
-L 509.90062 265.428029 
-L 510.097537 265.714149 
-L 510.122152 265.698833 
-L 510.269839 265.413593 
-L 510.503678 265.092942 
-L 510.688288 265.295573 
-L 510.835976 265.309893 
-L 510.995971 264.963476 
-L 511.303654 264.389809 
-L 511.46365 264.480803 
-L 511.722103 264.936743 
-L 512.128245 265.693754 
-L 512.140552 265.688426 
-L 512.300547 265.472998 
-L 512.522079 265.273866 
-L 512.534387 265.282157 
-L 512.682074 265.552344 
-L 513.34667 267.056892 
-L 513.543587 267.068762 
-L 513.85127 267.016732 
-L 514.22049 267.454396 
-L 514.294333 267.336999 
-L 514.67586 266.322842 
-L 514.762012 266.438812 
-L 515.094309 267.125316 
-L 515.143539 267.074126 
-L 515.672753 266.429103 
-L 515.832749 266.192802 
-L 516.091202 265.840298 
-L 516.10351 265.848018 
-L 516.300427 266.152346 
-L 516.411193 266.191279 
-L 516.435807 266.164456 
-L 516.583495 265.762616 
-L 516.903486 265.007234 
-L 517.125017 264.750849 
-L 517.555774 264.000402 
-L 517.715769 263.8966 
-L 518.048067 263.224582 
-L 518.12191 263.350141 
-L 518.429594 264.202073 
-L 518.49113 264.117768 
-L 518.761891 263.460478 
-L 518.823428 263.559579 
-L 518.983423 264.352146 
-L 519.315721 265.732629 
-L 519.746477 266.206547 
-L 520.029545 266.232368 
-L 520.201848 266.914192 
-L 520.398765 267.5238 
-L 520.42338 267.509944 
-L 520.521838 267.22165 
-L 520.866443 265.834834 
-L 520.915672 265.876917 
-L 521.087875 266.272418 
-L 521.087875 266.272418 
-" clip-path="url(#p2dc09b3a07)" style="fill: none; stroke: #0000ff; stroke-linecap: square"/>
+    <path d="M -1 259.065269 
+L -0.558018 261.223541 
+L -0.287256 262.594144 
+L 0.032734 264.054329 
+L 0.32811 264.269411 
+L 0.6481 265.584835 
+L 0.721944 265.446124 
+L 1.041934 264.168776 
+L 1.140393 264.331068 
+L 1.374232 264.851585 
+L 1.411154 264.81398 
+L 1.558842 264.348506 
+L 2.235744 261.163107 
+L 2.604964 259.456146 
+L 3.03572 256.95603 
+L 3.281867 254.408718 
+L 3.651086 250.738641 
+L 3.712623 250.716014 
+L 3.749545 250.762176 
+L 4.069535 251.114481 
+L 4.217223 251.154091 
+L 4.340296 251.592932 
+L 4.684901 254.101712 
+L 5.10335 257.989947 
+L 5.632565 262.568453 
+L 6.051014 264.786218 
+L 6.457156 265.844663 
+L 7.146366 266.45156 
+L 7.306361 266.475425 
+L 7.466356 266.85701 
+L 7.700195 267.319015 
+L 7.712503 267.313336 
+L 7.835576 267.102122 
+L 8.0448 266.787303 
+L 8.069415 266.806615 
+L 8.217103 267.159464 
+L 8.438634 267.564079 
+L 8.450942 267.557881 
+L 8.586322 267.321536 
+L 8.857083 266.949311 
+L 9.337069 267.04333 
+L 9.583215 266.983437 
+L 10.013972 267.052309 
+L 10.432421 266.558811 
+L 10.493957 266.639093 
+L 10.875484 267.186974 
+L 10.912406 267.159572 
+L 11.183167 267.053748 
+L 11.466236 267.254357 
+L 11.49085 267.224619 
+L 11.687767 266.730061 
+L 11.86007 266.505372 
+L 11.884684 266.522598 
+L 12.032372 266.82995 
+L 12.352363 267.411701 
+L 12.709275 267.485986 
+L 12.930807 267.213517 
+L 13.078495 267.159459 
+L 13.090802 267.170876 
+L 13.23849 267.498001 
+L 13.55848 268.14479 
+L 13.730783 267.988074 
+L 14.567681 267.150161 
+L 14.764598 267.415043 
+L 15.207661 268.199252 
+L 15.256891 268.153113 
+L 15.49073 267.605465 
+L 15.589188 267.528739 
+L 15.62611 267.56173 
+L 15.773798 267.962881 
+L 15.958408 268.328601 
+L 15.983023 268.307344 
+L 16.106096 267.940666 
+L 16.352242 267.202187 
+L 16.376857 267.221738 
+L 16.49993 267.586662 
+L 16.758384 268.319894 
+L 16.782998 268.30597 
+L 16.930686 267.998579 
+L 17.164525 267.687207 
+L 17.435286 267.620726 
+L 17.644511 267.439118 
+L 17.669126 267.463763 
+L 17.804506 267.855539 
+L 18.075267 268.719597 
+L 18.112189 268.688404 
+L 18.235262 268.286501 
+L 18.530638 267.298182 
+L 18.555253 267.309675 
+L 18.678326 267.566758 
+L 18.949087 268.109921 
+L 18.961394 268.105021 
+L 19.084468 267.911732 
+L 19.429073 267.346329 
+L 19.859829 267.454637 
+L 20.069053 267.295136 
+L 20.081361 267.304823 
+L 20.229048 267.593024 
+L 20.413658 267.879952 
+L 20.438273 267.86439 
+L 20.561346 267.580794 
+L 20.770571 267.114106 
+L 20.795185 267.133931 
+L 20.905951 267.455088 
+L 21.127483 268.149108 
+L 21.164405 268.106962 
+L 21.287478 267.570379 
+L 21.521317 266.542708 
+L 21.558239 266.579781 
+L 21.681312 267.097929 
+L 21.890537 267.910443 
+L 21.927459 267.881798 
+L 22.050532 267.440359 
+L 22.259757 266.790455 
+L 22.284371 266.806707 
+L 22.407444 267.142537 
+L 22.604362 267.589903 
+L 22.628976 267.569946 
+L 22.752049 267.225395 
+L 23.047425 266.470425 
+L 23.195113 266.601614 
+L 23.835094 267.363717 
+L 23.872016 267.324506 
+L 24.142777 267.054892 
+L 24.167391 267.082185 
+L 24.352001 267.550431 
+L 24.548918 267.831983 
+L 24.561226 267.826848 
+L 24.95506 267.697187 
+L 25.213514 267.875558 
+L 25.545811 267.797527 
+L 25.890416 268.031352 
+L 26.505782 267.568611 
+L 26.727314 267.284881 
+L 26.739622 267.290575 
+L 26.887309 267.506918 
+L 27.170378 267.836571 
+L 27.404217 268.011358 
+L 27.650363 268.206515 
+L 27.662671 268.195878 
+L 27.859588 267.829121 
+L 27.994968 267.724122 
+L 28.019583 267.743982 
+L 28.179578 268.103081 
+L 28.425725 268.474924 
+L 29.053398 268.116251 
+L 29.336466 267.903242 
+L 29.619535 267.925518 
+L 29.988754 267.345449 
+L 30.062598 267.448657 
+L 30.46874 268.125204 
+L 30.493355 268.110017 
+L 30.714886 267.79518 
+L 30.985647 267.565725 
+L 31.194872 267.757027 
+L 31.354867 267.761589 
+L 31.514862 267.390639 
+L 31.797931 266.860129 
+L 31.957926 267.062376 
+L 32.191765 267.231626 
+L 32.437911 267.280651 
+L 32.868668 267.672723 
+L 33.631722 267.255418 
+L 33.964019 267.344943 
+L 34.271702 267.034579 
+L 34.296317 267.055121 
+L 34.505541 267.180574 
+L 34.530156 267.147446 
+L 34.677844 266.664287 
+L 34.862454 266.130253 
+L 34.899376 266.158608 
+L 35.010142 266.575369 
+L 35.305517 267.883607 
+L 35.342439 267.85417 
+L 35.502434 267.398708 
+L 35.687044 267.136256 
+L 35.699352 267.140898 
+L 35.933191 267.140087 
+L 36.179337 266.726634 
+L 36.240874 266.819297 
+L 36.425484 267.636515 
+L 36.585479 268.062018 
+L 36.622401 268.035743 
+L 36.794703 267.579614 
+L 36.893162 267.458577 
+L 36.942391 267.510229 
+L 37.225459 268.203838 
+L 37.311611 268.011745 
+L 37.643908 266.738114 
+L 37.717752 266.836077 
+L 38.086972 267.457085 
+L 38.308504 267.462467 
+L 38.628494 267.614797 
+L 38.899255 267.502546 
+L 39.379241 267.840417 
+L 39.957685 267.525922 
+L 40.093065 267.590206 
+L 40.449978 268.011014 
+L 40.499207 267.956351 
+L 40.843812 267.631103 
+L 41.102266 267.641218 
+L 41.397641 267.407596 
+L 41.422256 267.433945 
+L 41.619173 267.874459 
+L 41.877627 268.244513 
+L 42.049929 268.153064 
+L 42.222232 267.760811 
+L 42.566837 266.748348 
+L 42.616066 266.807769 
+L 42.776061 267.411867 
+L 43.022208 268.089049 
+L 43.145281 267.92183 
+L 43.403735 267.640727 
+L 43.612959 267.590151 
+L 43.822184 267.056038 
+L 44.019101 266.813434 
+L 44.892921 267.124739 
+L 45.200604 266.615827 
+L 45.274448 266.749553 
+L 45.606745 267.780438 
+L 45.692897 267.650908 
+L 46.00058 266.962858 
+L 46.037502 266.995612 
+L 46.357492 267.400936 
+L 46.419029 267.32901 
+L 46.763634 266.989177 
+L 47.32977 267.265903 
+L 47.723605 267.223219 
+L 48.240512 267.018562 
+L 48.437429 267.357244 
+L 48.695883 267.673628 
+L 48.8928 267.469347 
+L 49.065103 267.443497 
+L 49.298942 267.497732 
+L 49.44663 267.075733 
+L 49.643547 266.593102 
+L 49.668161 266.616605 
+L 49.778927 267.030933 
+L 50.08661 268.588216 
+L 50.13584 268.527456 
+L 50.295835 267.834362 
+L 50.45583 267.38834 
+L 50.492752 267.413677 
+L 50.64044 267.835581 
+L 50.77582 268.071182 
+L 50.812742 268.029932 
+L 50.948123 267.52131 
+L 51.157347 266.839159 
+L 51.181962 266.853038 
+L 51.292728 267.166588 
+L 51.563489 267.987815 
+L 51.588104 267.975846 
+L 51.760406 267.664807 
+L 51.883479 267.588591 
+L 51.908094 267.611664 
+L 52.092704 268.02746 
+L 52.252699 268.192613 
+L 52.277314 268.173309 
+L 52.449616 267.814465 
+L 52.732685 267.379589 
+L 53.151133 267.286999 
+L 53.951109 267.557201 
+L 54.098797 267.358367 
+L 54.344944 266.97657 
+L 54.381866 267.005729 
+L 54.529553 267.383301 
+L 54.726471 267.804969 
+L 54.763393 267.779447 
+L 54.898773 267.397982 
+L 55.14492 266.767442 
+L 55.169534 266.777356 
+L 55.317222 267.038263 
+L 55.551061 267.284729 
+L 55.735671 267.354756 
+L 55.920281 267.875793 
+L 56.080276 268.171613 
+L 56.117198 268.142008 
+L 56.240271 267.774092 
+L 56.535647 266.907025 
+L 56.547954 266.910014 
+L 56.695642 267.10426 
+L 56.954096 267.333759 
+L 57.397159 267.381715 
+L 57.680228 266.710686 
+L 57.729457 266.786042 
+L 57.889452 267.528677 
+L 58.086369 268.226379 
+L 58.110984 268.213438 
+L 58.22175 267.900812 
+L 58.443282 267.275981 
+L 58.467896 267.294175 
+L 58.59097 267.627414 
+L 58.787887 268.060481 
+L 58.812501 268.04349 
+L 58.972496 267.688828 
+L 59.070955 267.577579 
+L 59.120184 267.632131 
+L 59.267872 268.179914 
+L 59.452482 268.685279 
+L 59.477097 268.666417 
+L 59.587863 268.337746 
+L 59.834009 267.602193 
+L 59.858624 267.618536 
+L 59.994004 267.958023 
+L 60.215536 268.368842 
+L 60.227843 268.362556 
+L 60.375531 268.128172 
+L 60.683214 267.755998 
+L 61.089356 267.585954 
+L 61.421653 267.981199 
+L 61.470883 267.930323 
+L 61.889332 267.526191 
+L 62.640078 267.768825 
+L 62.898532 267.416914 
+L 62.935454 267.455298 
+L 63.107757 267.94053 
+L 63.280059 268.246222 
+L 63.304674 268.229614 
+L 63.440054 267.910808 
+L 63.698508 267.432804 
+L 64.030806 267.417851 
+L 64.227723 267.321461 
+L 64.24003 267.332933 
+L 64.486177 267.60683 
+L 64.535406 267.530249 
+L 64.695401 266.849626 
+L 64.867703 266.282005 
+L 64.904625 266.314103 
+L 65.015391 266.773741 
+L 65.29846 268.081894 
+L 65.323074 268.059039 
+L 65.446148 267.650701 
+L 65.655372 267.058297 
+L 65.679987 267.069515 
+L 65.80306 267.335222 
+L 66.024592 267.721586 
+L 66.036899 267.716418 
+L 66.196894 267.489338 
+L 66.430733 267.313271 
+L 66.750724 267.245392 
+L 67.267631 266.866484 
+L 67.489163 266.555695 
+L 67.513778 266.571978 
+L 67.661465 266.878192 
+L 67.969148 267.420221 
+L 68.178373 267.632233 
+L 68.449134 268.046076 
+L 68.486056 268.009998 
+L 68.646051 267.560123 
+L 68.855276 267.142037 
+L 68.867583 267.149085 
+L 68.990656 267.386877 
+L 69.187573 267.731853 
+L 69.224495 267.703748 
+L 69.359876 267.342465 
+L 69.606022 266.777603 
+L 69.61833 266.782765 
+L 69.741403 266.984639 
+L 69.950627 267.271421 
+L 69.975242 267.251962 
+L 70.12293 266.909404 
+L 70.393691 266.396446 
+L 70.701374 266.341042 
+L 71.095208 265.428211 
+L 71.181359 265.526465 
+L 71.45212 265.821123 
+L 71.464428 265.813472 
+L 71.796725 265.645042 
+L 71.809033 265.66172 
+L 72.079794 265.974809 
+L 72.116716 265.936076 
+L 72.301326 265.461478 
+L 72.522857 265.157921 
+L 72.892077 265.235719 
+L 73.162838 265.004764 
+L 73.482829 265.249149 
+L 73.51975 265.184385 
+L 73.728975 264.438463 
+L 73.975121 263.916268 
+L 74.196653 263.805987 
+L 74.332034 263.204563 
+L 74.996629 258.036828 
+L 75.205854 253.10573 
+L 75.476615 240.928903 
+L 75.698146 219.231014 
+L 76.030444 157.042333 
+L 76.350434 114.789013 
+L 76.571966 108.976047 
+L 76.707347 104.418716 
+L 76.879649 88.963842 
+L 77.371942 29.894437 
+L 77.433479 31.606625 
+L 77.568859 46.148037 
+L 78.282684 142.136044 
+L 78.590367 162.295996 
+L 78.885743 203.625225 
+L 79.26727 248.685165 
+L 79.538031 257.313136 
+L 79.931865 263.441799 
+L 80.116475 263.745636 
+L 80.239548 264.10898 
+L 80.657997 265.905009 
+L 80.707226 265.879429 
+L 80.904143 265.85609 
+L 81.396436 266.301811 
+L 81.408744 266.290773 
+L 81.851807 265.974438 
+L 81.864114 265.98803 
+L 82.011802 266.356875 
+L 82.381022 267.325993 
+L 82.688705 267.33002 
+L 83.045617 267.757865 
+L 83.057925 267.750172 
+L 83.328686 267.695351 
+L 83.525603 267.717212 
+L 83.72252 267.313905 
+L 83.833286 267.222123 
+L 83.870208 267.265444 
+L 84.017896 267.78356 
+L 84.214813 268.349615 
+L 84.239428 268.328191 
+L 84.350193 267.936318 
+L 84.694798 266.4548 
+L 84.719413 266.466055 
+L 84.854794 266.741923 
+L 85.42093 268.04484 
+L 85.531696 267.886276 
+L 85.900916 267.042068 
+L 85.950145 267.075272 
+L 86.208599 267.179941 
+L 86.47936 266.987524 
+L 86.503975 267.018662 
+L 86.885502 267.678726 
+L 86.971653 267.584879 
+L 87.230107 267.411531 
+L 87.427024 267.377187 
+L 87.611634 266.899332 
+L 87.771629 266.623964 
+L 87.808551 266.651371 
+L 87.943931 267.039066 
+L 88.17777 267.638597 
+L 88.202385 267.619766 
+L 88.325458 267.299749 
+L 88.534683 266.799045 
+L 88.559297 266.814982 
+L 88.670063 267.117856 
+L 88.965439 268.097528 
+L 89.002361 268.062924 
+L 89.137741 267.619367 
+L 89.445424 266.690996 
+L 89.568498 266.805055 
+L 90.257708 267.752617 
+L 90.393088 267.612974 
+L 90.700771 267.252439 
+L 90.713079 267.2609 
+L 90.922303 267.582971 
+L 91.131528 267.700794 
+L 91.48844 267.672532 
+L 91.734586 267.694359 
+L 92.079191 267.602483 
+L 92.31303 267.602775 
+L 92.694557 267.346674 
+L 92.719172 267.374816 
+L 93.18685 267.816848 
+L 93.728372 267.733537 
+L 94.220665 267.3737 
+L 94.368353 267.485922 
+L 94.577578 268.075637 
+L 94.774495 268.431711 
+L 94.799109 268.418473 
+L 94.922183 268.169283 
+L 95.229866 267.575971 
+L 95.402168 267.768011 
+L 95.771388 268.087539 
+L 96.054456 268.206919 
+L 96.226759 267.845315 
+L 96.522134 267.327449 
+L 96.731359 267.433977 
+L 97.112886 267.5506 
+L 97.82671 267.48194 
+L 98.109779 266.943519 
+L 98.171315 267.04504 
+L 98.343618 267.887454 
+L 98.51592 268.476513 
+L 98.540535 268.45669 
+L 98.638994 268.09789 
+L 98.922062 266.815702 
+L 98.958984 266.858058 
+L 99.118979 267.46267 
+L 99.266667 267.799338 
+L 99.303589 267.773962 
+L 99.488199 267.324263 
+L 99.598965 267.235053 
+L 99.635887 267.269487 
+L 99.845111 267.531004 
+L 99.89434 267.467318 
+L 100.066643 266.815298 
+L 100.226638 266.432502 
+L 100.26356 266.462476 
+L 100.423555 266.927035 
+L 100.571243 267.16799 
+L 100.595858 267.151742 
+L 100.878926 266.762557 
+L 100.95277 266.900874 
+L 101.186609 267.390119 
+L 101.223531 267.355554 
+L 101.395834 266.872091 
+L 101.518907 266.70049 
+L 101.555829 266.734144 
+L 101.82659 267.261913 
+L 101.900434 267.113951 
+L 102.171195 266.241017 
+L 102.232732 266.346397 
+L 102.540415 267.495179 
+L 102.638873 267.279273 
+L 102.860405 266.62802 
+L 102.897327 266.67826 
+L 103.0204 267.241621 
+L 103.254239 268.273698 
+L 103.291161 268.245158 
+L 103.414234 267.806606 
+L 103.611152 267.194554 
+L 103.648073 267.223119 
+L 103.771147 267.619557 
+L 103.980371 268.208769 
+L 104.004986 268.193978 
+L 104.115752 267.911354 
+L 104.349591 267.312711 
+L 104.374205 267.328927 
+L 104.497279 267.628508 
+L 104.694196 268.046923 
+L 104.71881 268.0279 
+L 104.829576 267.712936 
+L 105.137259 266.6772 
+L 105.174181 266.697764 
+L 105.334177 267.039377 
+L 105.531094 267.273187 
+L 105.543401 267.267738 
+L 105.728011 267.029453 
+L 106.023387 266.344115 
+L 106.503372 264.69152 
+L 106.540294 264.702093 
+L 106.675675 264.6244 
+L 106.811055 264.085791 
+L 107.180275 262.536879 
+L 107.364885 262.440039 
+L 107.500265 261.793992 
+L 107.795641 260.186393 
+L 107.832563 260.223886 
+L 107.955636 260.754626 
+L 108.226397 261.840734 
+L 108.238704 261.835338 
+L 108.34947 261.599848 
+L 108.644846 260.975906 
+L 108.792534 261.160066 
+L 109.309441 262.325249 
+L 109.875578 264.091585 
+L 110.109417 264.205661 
+L 110.404793 264.720675 
+L 110.46633 264.629855 
+L 110.663247 263.82535 
+L 110.810935 263.477519 
+L 110.847857 263.502713 
+L 110.995544 263.904661 
+L 111.10631 264.100954 
+L 111.15554 264.043152 
+L 111.278613 263.444237 
+L 111.647832 261.535269 
+L 111.79552 261.266879 
+L 111.930901 260.289891 
+L 112.189355 256.256811 
+L 112.48473 248.442727 
+L 112.743184 233.877326 
+L 113.161633 194.355661 
+L 113.604697 159.499882 
+L 114.146219 130.262073 
+L 114.687741 90.382191 
+L 114.712355 90.534855 
+L 114.798507 93.262404 
+L 114.983117 108.669528 
+L 115.524639 155.748261 
+L 115.93078 176.88109 
+L 116.312307 220.713249 
+L 116.66922 248.899251 
+L 116.976903 258.009015 
+L 117.284586 261.383387 
+L 117.764571 264.396163 
+L 117.86303 264.295809 
+L 118.072254 264.023287 
+L 118.096869 264.046379 
+L 118.219942 264.385679 
+L 118.663006 265.754876 
+L 118.859923 265.689756 
+L 119.142991 265.654734 
+L 119.684513 265.855325 
+L 119.942967 265.61781 
+L 119.967582 265.638701 
+L 120.11527 265.980015 
+L 120.422953 266.72703 
+L 120.447567 266.711722 
+L 120.570641 266.435417 
+L 120.989089 265.370901 
+L 121.161392 265.499983 
+L 121.567534 266.130559 
+L 121.801373 266.336009 
+L 122.195207 266.250779 
+L 122.527505 266.868903 
+L 122.576734 266.823356 
+L 122.909032 266.36016 
+L 122.970568 266.442619 
+L 123.37671 267.104341 
+L 123.413632 267.079413 
+L 123.905925 266.773058 
+L 124.090534 267.06302 
+L 124.422832 267.57026 
+L 124.57052 267.381015 
+L 124.792052 267.170161 
+L 124.804359 267.179066 
+L 124.952047 267.457881 
+L 125.210501 267.89196 
+L 125.222808 267.885793 
+L 125.345881 267.667017 
+L 125.727408 266.795683 
+L 125.752023 266.809809 
+L 125.899711 267.072639 
+L 126.170472 267.46461 
+L 126.305852 267.281323 
+L 126.588921 266.93342 
+L 127.081214 267.030928 
+L 127.253516 267.035477 
+L 127.684272 267.314494 
+L 127.991955 267.139643 
+L 128.299638 267.152136 
+L 128.570399 267.08151 
+L 129.013463 267.284777 
+L 129.431912 267.089933 
+L 129.850361 267.033989 
+L 130.194966 267.299974 
+L 130.207273 267.288905 
+L 130.40419 266.926849 
+L 130.687259 266.558133 
+L 130.822639 266.702601 
+L 131.204166 267.336032 
+L 131.253396 267.286034 
+L 131.474927 266.738815 
+L 131.634923 266.574849 
+L 131.64723 266.582818 
+L 131.807225 266.862791 
+L 131.979528 267.038117 
+L 132.004142 267.018116 
+L 132.164137 266.660083 
+L 132.385669 266.304066 
+L 132.397976 266.308446 
+L 132.557972 266.524884 
+L 132.791811 266.719091 
+L 133.16103 266.747512 
+L 133.308718 266.696033 
+L 133.665631 266.153463 
+L 133.739475 266.267962 
+L 134.022543 266.849934 
+L 134.071772 266.79108 
+L 134.244075 266.184894 
+L 134.428685 265.74671 
+L 134.453299 265.763311 
+L 134.564065 266.057798 
+L 134.884055 267.010272 
+L 134.90867 266.999018 
+L 135.117895 266.689208 
+L 135.290197 266.664426 
+L 135.474807 266.658722 
+L 135.622495 266.27393 
+L 135.893256 265.614961 
+L 135.905563 265.620146 
+L 136.028636 265.837272 
+L 136.299397 266.297601 
+L 136.311705 266.29211 
+L 136.4717 266.066797 
+L 137.013222 265.305747 
+L 137.210139 265.210564 
+L 137.542437 265.406865 
+L 137.579359 265.34672 
+L 137.776276 264.703958 
+L 138.317798 262.012318 
+L 139.117774 257.718244 
+L 139.302384 257.508255 
+L 139.450072 256.663864 
+L 139.831599 254.11278 
+L 139.856213 254.128878 
+L 139.991594 254.483746 
+L 140.139282 254.754653 
+L 140.176204 254.728523 
+L 140.311584 254.338918 
+L 140.582345 253.678412 
+L 140.705418 253.83673 
+L 141.406936 255.514226 
+L 141.751541 257.107992 
+L 142.30537 259.83256 
+L 142.920736 262.253165 
+L 142.982273 262.21911 
+L 143.671483 261.466588 
+L 143.942244 259.893935 
+L 144.520688 255.517297 
+L 144.939137 248.740693 
+L 145.308357 238.661592 
+L 145.837572 218.336245 
+L 146.465245 180.562928 
+L 147.154455 143.175562 
+L 147.511367 131.996645 
+L 147.597519 131.535392 
+L 147.646748 131.724025 
+L 147.769821 133.575807 
+L 147.991353 141.209957 
+L 148.409802 165.08745 
+L 149.70207 244.135716 
+L 150.07129 249.980733 
+L 150.206671 250.438633 
+L 150.243593 250.410557 
+L 150.44051 249.895753 
+L 150.7605 248.96157 
+L 150.94511 246.568432 
+L 151.794315 229.879 
+L 152.64352 203.07867 
+L 153.468111 165.876885 
+L 154.02194 145.506476 
+L 154.231165 142.286956 
+L 154.243472 142.293516 
+L 154.305009 142.676955 
+L 154.452697 145.621191 
+L 154.821916 158.746059 
+L 155.178829 180.120256 
+L 156.163414 239.836652 
+L 156.581863 250.888364 
+L 156.852624 253.43418 
+L 157.160307 255.642215 
+L 157.480298 257.600404 
+L 157.677215 257.749519 
+L 158.046434 257.651747 
+L 158.403347 257.410867 
+L 158.551035 256.571235 
+L 158.797181 253.420107 
+L 159.264859 244.425932 
+L 159.757152 227.864428 
+L 160.310982 204.437002 
+L 161.074036 172.311573 
+L 161.344797 168.191778 
+L 161.443255 167.92625 
+L 161.492484 167.992134 
+L 161.615558 168.660827 
+L 161.812475 171.199065 
+L 162.083236 178.070849 
+L 164.0401 237.625838 
+L 164.717003 248.32012 
+L 165.60313 257.476918 
+L 166.304647 261.70954 
+L 166.390798 261.617221 
+L 166.575408 261.414224 
+L 166.61233 261.44999 
+L 166.747711 261.862905 
+L 167.043086 262.769962 
+L 167.067701 262.76014 
+L 167.215389 262.503999 
+L 167.387691 262.330522 
+L 167.412306 262.350328 
+L 167.584609 262.71323 
+L 167.781526 262.95462 
+L 167.793833 262.947676 
+L 167.941521 262.698656 
+L 168.286126 262.150488 
+L 168.49535 262.209396 
+L 168.778419 262.554519 
+L 169.221482 263.071411 
+L 169.381478 262.95872 
+L 169.836848 262.424701 
+L 169.861463 262.445576 
+L 170.624517 263.147258 
+L 170.661439 263.093878 
+L 170.821434 262.531931 
+L 171.202961 261.20813 
+L 171.375264 260.791738 
+L 171.572181 259.409765 
+L 172.089088 253.613854 
+L 172.372157 246.335459 
+L 172.802913 229.13014 
+L 173.18444 203.395602 
+L 173.762884 166.042116 
+L 174.181333 142.601779 
+L 174.612089 120.434893 
+L 174.710548 119.493227 
+L 174.759777 119.709155 
+L 174.870543 121.744088 
+L 175.104382 131.21271 
+L 175.695133 165.96755 
+L 176.63049 226.701158 
+L 177.048939 240.501863 
+L 177.479695 247.645664 
+L 177.811993 250.355065 
+L 178.045832 250.79395 
+L 178.218134 250.786278 
+L 178.353515 250.500339 
+L 178.525817 249.512028 
+L 178.747349 246.805388 
+L 178.993496 240.775847 
+L 179.288871 227.225397 
+L 179.658091 198.493303 
+L 180.753443 108.322251 
+L 181.048818 94.074054 
+L 181.08574 93.832612 
+L 181.13497 94.16485 
+L 181.245735 97.593737 
+L 181.479575 113.830314 
+L 183.054912 237.665575 
+L 183.510283 251.256803 
+L 183.84258 256.223065 
+L 184.421024 260.176101 
+L 184.925625 262.879519 
+L 185.134849 263.540083 
+L 185.147156 263.537734 
+L 185.27023 263.365734 
+L 185.40561 263.228856 
+L 185.442532 263.261845 
+L 185.577913 263.663848 
+L 185.836366 264.343265 
+L 185.848674 264.338344 
+L 186.09482 264.155096 
+L 186.144049 264.265339 
+L 186.353274 265.304874 
+L 186.500962 265.68732 
+L 186.537884 265.655881 
+L 186.685572 265.206329 
+L 186.857874 264.887466 
+L 186.882489 264.902829 
+L 187.116328 265.15624 
+L 187.177864 265.048271 
+L 187.448625 264.292157 
+L 187.510162 264.408827 
+L 187.682465 265.381303 
+L 187.891689 266.114991 
+L 187.903996 266.10859 
+L 188.02707 265.854711 
+L 188.211679 265.592031 
+L 188.236294 265.610067 
+L 188.679358 265.938153 
+L 188.814738 266.015947 
+L 189.023963 266.206449 
+L 189.060885 266.165757 
+L 189.245494 265.650103 
+L 189.343953 265.506724 
+L 189.393182 265.562869 
+L 189.528563 266.147078 
+L 189.737787 266.95867 
+L 189.774709 266.926753 
+L 189.897782 266.46282 
+L 190.0947 265.809644 
+L 190.131622 265.838418 
+L 190.267002 266.284972 
+L 190.451612 266.74208 
+L 190.476227 266.730197 
+L 190.623914 266.435322 
+L 190.746988 266.30296 
+L 190.78391 266.334212 
+L 191.079285 266.836433 
+L 191.153129 266.715092 
+L 191.399276 266.224543 
+L 191.436198 266.259815 
+L 191.596193 266.727122 
+L 191.842339 267.199234 
+L 192.223866 267.11241 
+L 192.371554 266.728861 
+L 192.580779 266.170781 
+L 192.6177 266.199373 
+L 192.728466 266.600901 
+L 193.036149 267.96793 
+L 193.073071 267.938324 
+L 193.233067 267.48381 
+L 193.393062 267.23159 
+L 193.417676 267.243167 
+L 193.749974 267.471192 
+L 193.786896 267.41689 
+L 194.082272 267.131866 
+L 194.353033 267.135149 
+L 194.611487 267.044144 
+L 194.91917 267.233471 
+L 194.931477 267.218115 
+L 195.214545 266.860941 
+L 195.263775 266.921069 
+L 195.55915 267.468187 
+L 195.632994 267.368759 
+L 195.903755 266.832727 
+L 195.952985 266.88769 
+L 196.260668 267.575443 
+L 196.346819 267.419427 
+L 196.716039 266.336737 
+L 196.777575 266.39005 
+L 197.12218 266.695769 
+L 197.392941 266.634399 
+L 197.663702 267.061375 
+L 197.934463 267.247535 
+L 198.402142 267.354579 
+L 198.795976 266.498343 
+L 198.882127 266.637049 
+L 199.226732 267.504595 
+L 199.288269 267.431929 
+L 199.657488 266.631335 
+L 199.74364 266.736159 
+L 200.014401 267.121662 
+L 200.051323 267.09209 
+L 200.211318 266.717852 
+L 200.469772 266.239639 
+L 200.580537 266.4183 
+L 201.023601 267.464511 
+L 201.060523 267.446223 
+L 201.318977 267.399463 
+L 201.638967 267.757303 
+L 201.688196 267.697939 
+L 202.045109 267.078963 
+L 202.118953 267.151797 
+L 202.365099 267.356171 
+L 202.377406 267.347331 
+L 202.722011 267.119235 
+L 202.746626 267.15069 
+L 202.955851 267.336949 
+L 202.980465 267.314491 
+L 203.14046 266.925365 
+L 203.300456 266.646827 
+L 203.337378 266.67835 
+L 203.460451 267.05972 
+L 203.731212 267.889594 
+L 203.755826 267.87889 
+L 203.903514 267.612363 
+L 204.075817 267.448949 
+L 204.088124 267.455774 
+L 204.358885 267.578661 
+L 204.3835 267.538068 
+L 204.678876 266.978748 
+L 204.740412 267.064975 
+L 205.060403 267.775055 
+L 205.121939 267.701721 
+L 205.405008 267.290905 
+L 205.441929 267.320764 
+L 205.675769 267.500193 
+L 205.700383 267.471958 
+L 205.8973 266.977433 
+L 206.032681 266.825509 
+L 206.057296 266.843549 
+L 206.229598 267.207762 
+L 206.377286 267.355864 
+L 206.401901 267.337685 
+L 206.660354 267.046376 
+L 206.721891 267.152979 
+L 207.029574 268.033159 
+L 207.103418 267.884031 
+L 207.435716 266.611959 
+L 207.521867 266.776561 
+L 207.82955 267.727983 
+L 207.891086 267.65312 
+L 208.223384 266.969202 
+L 208.284921 267.031019 
+L 208.531067 267.283014 
+L 208.555682 267.258428 
+L 208.715677 266.859512 
+L 208.961823 266.383828 
+L 208.974131 266.389102 
+L 209.097204 266.58913 
+L 209.429502 267.161938 
+L 209.441809 267.156801 
+L 209.638726 266.916718 
+L 209.847951 266.814142 
+L 210.229478 266.884643 
+L 210.549468 266.701031 
+L 211.017146 266.866595 
+L 211.152527 266.995597 
+L 211.398673 267.75797 
+L 211.534054 267.952807 
+L 211.570976 267.923247 
+L 211.706356 267.537792 
+L 211.989425 266.768031 
+L 212.001732 266.773224 
+L 212.124805 266.998447 
+L 212.420181 267.54209 
+L 212.432488 267.536642 
+L 212.617098 267.293812 
+L 212.814015 267.202521 
+L 213.170927 267.31341 
+L 213.47861 266.973731 
+L 213.515532 267.015124 
+L 213.700142 267.511765 
+L 213.909367 267.87322 
+L 213.921674 267.866072 
+L 214.044747 267.630956 
+L 214.303201 267.122836 
+L 214.327816 267.136637 
+L 214.463196 267.400064 
+L 214.672421 267.743929 
+L 214.697035 267.730101 
+L 214.832416 267.445262 
+L 215.066255 266.979508 
+L 215.09087 266.993794 
+L 215.213943 267.269388 
+L 215.521626 268.025233 
+L 215.54624 268.013372 
+L 215.693928 267.748509 
+L 215.952382 267.417982 
+L 216.333909 267.491125 
+L 216.678514 266.856233 
+L 216.727743 266.898676 
+L 217.096963 267.426463 
+L 217.170807 267.346101 
+L 217.453875 267.107693 
+L 217.872324 267.284902 
+L 218.118471 267.172654 
+L 218.340002 267.526845 
+L 218.635378 267.811349 
+L 219.004598 267.922375 
+L 219.336895 267.634683 
+L 219.373817 267.676987 
+L 219.656886 268.009944 
+L 219.693808 267.966405 
+L 220.05072 267.269033 
+L 220.149179 267.410417 
+L 220.383018 267.741264 
+L 220.407632 267.726721 
+L 220.567628 267.435075 
+L 220.813774 267.152428 
+L 221.182994 267.373107 
+L 221.453755 267.71994 
+L 221.626057 267.768168 
+L 221.970662 267.602258 
+L 221.98297 267.618261 
+L 222.204501 267.830228 
+L 222.241423 267.791294 
+L 222.401418 267.334739 
+L 222.598336 266.90612 
+L 222.62295 266.920069 
+L 222.733716 267.17784 
+L 223.115243 268.147806 
+L 223.299853 268.038042 
+L 223.509077 267.652319 
+L 223.86599 266.86148 
+L 223.890604 266.877228 
+L 224.542892 267.642173 
+L 224.825961 268.74071 
+L 224.862883 268.696433 
+L 224.985956 268.157433 
+L 225.269024 266.913987 
+L 225.293639 266.92815 
+L 225.416712 267.252253 
+L 225.699781 267.919286 
+L 225.88439 267.806467 
+L 226.105922 267.787927 
+L 226.770518 267.951177 
+L 227.004357 267.833833 
+L 227.164352 268.143702 
+L 227.348962 268.414715 
+L 227.373576 268.398251 
+L 227.49665 268.106101 
+L 227.779718 267.382821 
+L 227.804333 267.393743 
+L 227.964328 267.670651 
+L 228.13663 267.824995 
+L 228.148938 267.817164 
+L 228.333547 267.52126 
+L 228.542772 267.368282 
+L 229.490436 267.592784 
+L 229.736582 267.355662 
+L 229.748889 267.364703 
+L 229.933499 267.685719 
+L 230.056572 267.794985 
+L 230.093494 267.762403 
+L 230.228875 267.358801 
+L 230.487329 266.514056 
+L 230.524251 266.541384 
+L 230.635017 266.91408 
+L 230.955007 268.251936 
+L 230.991929 268.225149 
+L 231.127309 267.838485 
+L 231.348841 267.368765 
+L 231.361149 267.374356 
+L 231.521144 267.61776 
+L 231.644217 267.692907 
+L 231.668832 267.671039 
+L 231.841134 267.281975 
+L 231.988822 267.111696 
+L 232.013437 267.131954 
+L 232.185739 267.521135 
+L 232.308812 267.658154 
+L 232.345734 267.621002 
+L 232.493422 267.169477 
+L 232.702647 266.692706 
+L 232.727261 266.70332 
+L 233.01033 266.968924 
+L 233.071866 266.865431 
+L 233.281091 266.513117 
+L 233.318013 266.552979 
+L 233.453393 267.042446 
+L 233.711847 267.88062 
+L 233.724154 267.875511 
+L 233.871842 267.633214 
+L 233.982608 267.56117 
+L 234.007223 267.586794 
+L 234.167218 268.026293 
+L 234.302598 268.247816 
+L 234.33952 268.208484 
+L 234.487208 267.687068 
+L 234.659511 267.23181 
+L 234.696433 267.262959 
+L 234.831813 267.694427 
+L 234.991808 268.082135 
+L 235.02873 268.054835 
+L 235.164111 267.635925 
+L 235.324106 267.269745 
+L 235.361028 267.312432 
+L 235.496409 267.862177 
+L 235.705633 268.597196 
+L 235.730248 268.583925 
+L 235.841014 268.275414 
+L 236.099467 267.561231 
+L 236.124082 267.571717 
+L 236.419458 267.774146 
+L 236.45638 267.720792 
+L 236.690219 267.457948 
+L 236.714833 267.47948 
+L 237.022516 267.911776 
+L 237.09636 267.796155 
+L 237.416351 267.162749 
+L 237.46558 267.200102 
+L 238.007102 267.995872 
+L 238.253249 268.455918 
+L 238.277863 268.437785 
+L 238.400936 268.105011 
+L 238.696312 267.16431 
+L 238.733234 267.18977 
+L 238.880922 267.577929 
+L 239.139376 268.103245 
+L 239.311678 267.989353 
+L 240.493181 267.024812 
+L 240.628562 267.216585 
+L 240.923937 267.753322 
+L 240.960859 267.722095 
+L 241.157776 267.280402 
+L 241.305464 267.141129 
+L 241.330079 267.159195 
+L 241.650069 267.534928 
+L 241.711606 267.438286 
+L 242.031596 266.840741 
+L 242.080826 266.888426 
+L 242.437738 267.338319 
+L 242.486967 267.290419 
+L 242.79465 267.082633 
+L 243.742314 267.663742 
+L 243.926924 267.528899 
+L 244.394602 266.986292 
+L 244.419217 267.006485 
+L 244.874588 267.315101 
+L 245.108427 267.280939 
+L 245.440724 267.477797 
+L 245.453032 267.462608 
+L 245.859173 266.940887 
+L 245.908403 266.988802 
+L 246.449925 267.81129 
+L 246.60992 267.968755 
+L 246.634534 267.946349 
+L 246.757608 267.608602 
+L 247.028369 266.737196 
+L 247.065291 266.769065 
+L 247.188364 267.179722 
+L 247.446818 268.012793 
+L 247.471432 268.002897 
+L 247.606813 267.733639 
+L 247.816037 267.44296 
+L 247.828345 267.448101 
+L 248.185257 267.540327 
+L 248.406789 267.41527 
+L 248.689857 267.648456 
+L 248.739086 267.570308 
+L 249.046769 266.888934 
+L 249.108306 266.977907 
+L 249.428296 267.784799 
+L 249.50214 267.691844 
+L 249.760594 267.249358 
+L 249.797516 267.284536 
+L 250.105199 267.845277 
+L 250.19135 267.703029 
+L 250.486726 267.01851 
+L 250.535955 267.078386 
+L 250.732873 267.727646 
+L 250.892868 268.016856 
+L 250.917482 268.002229 
+L 251.040556 267.708071 
+L 251.385161 266.814887 
+L 251.397468 266.81986 
+L 251.557463 267.038788 
+L 251.75438 267.168909 
+L 251.975912 266.871465 
+L 252.135907 266.852907 
+L 252.382054 266.983767 
+L 252.406668 266.946506 
+L 252.554356 266.425653 
+L 252.985112 263.678859 
+L 253.18203 260.448812 
+L 253.82201 248.067307 
+L 253.87124 248.059146 
+L 253.908161 248.121295 
+L 254.068157 248.838891 
+L 254.449684 250.457981 
+L 254.572757 250.375311 
+L 254.708137 250.309321 
+L 254.732752 250.340314 
+L 254.843518 250.748777 
+L 255.040435 252.56379 
+L 255.717338 259.38616 
+L 255.93887 259.700568 
+L 256.049635 260.092921 
+L 256.221938 261.808356 
+L 256.62808 265.940127 
+L 256.714231 265.873815 
+L 256.911148 265.568444 
+L 256.94807 265.610321 
+L 257.08345 266.101154 
+L 257.391133 267.107304 
+L 257.526514 266.929434 
+L 257.698817 266.795087 
+L 257.711124 266.803974 
+L 257.883426 267.113229 
+L 258.068036 267.297413 
+L 258.080343 267.291297 
+L 258.437256 267.084182 
+L 258.474178 267.147604 
+L 258.843397 267.665375 
+L 259.138773 267.637784 
+L 259.495685 267.889764 
+L 259.741832 267.833074 
+L 260.086437 268.288204 
+L 260.160281 268.180399 
+L 260.517193 267.517418 
+L 260.566422 267.555747 
+L 260.849491 267.720871 
+L 261.157174 267.590027 
+L 261.427935 267.891303 
+L 261.477164 267.830527 
+L 261.711003 267.152917 
+L 261.834077 267.036533 
+L 261.858691 267.058029 
+L 262.055608 267.490769 
+L 262.166374 267.577131 
+L 262.203296 267.542505 
+L 262.486365 267.059098 
+L 262.560208 267.198882 
+L 262.880199 268.280823 
+L 262.96635 268.120644 
+L 263.261726 267.190528 
+L 263.323262 267.291 
+L 263.630945 268.244454 
+L 263.704789 268.110248 
+L 264.061702 266.862045 
+L 264.147853 267.017698 
+L 264.640146 268.179026 
+L 265.03398 267.931598 
+L 265.673961 267.33388 
+L 266.289327 267.331611 
+L 266.510859 267.03901 
+L 266.769312 266.81192 
+L 266.917 267.025424 
+L 267.224683 267.423879 
+L 267.556981 267.386508 
+L 267.950815 268.019007 
+L 268.012352 267.965461 
+L 268.29542 267.800776 
+L 268.578489 267.832555 
+L 268.836942 267.685451 
+L 268.84925 267.698996 
+L 269.058474 268.147909 
+L 269.181547 268.247542 
+L 269.206162 268.226672 
+L 269.35385 267.876493 
+L 269.563074 267.518964 
+L 269.575382 267.524955 
+L 269.72307 267.764203 
+L 269.919987 267.94396 
+L 269.932294 267.936052 
+L 270.289206 267.792269 
+L 270.498431 267.893149 
+L 270.510738 267.880887 
+L 270.818421 267.501908 
+L 270.879958 267.596435 
+L 271.163026 268.135124 
+L 271.212255 268.083629 
+L 271.532246 267.5642 
+L 271.593782 267.633052 
+L 271.839929 267.863409 
+L 271.852236 267.8546 
+L 272.147612 267.683491 
+L 272.172227 267.717039 
+L 272.406066 267.996698 
+L 272.442988 267.962525 
+L 272.726056 267.492685 
+L 272.7999 267.629833 
+L 273.107583 268.579644 
+L 273.181427 268.486452 
+L 273.526032 267.834086 
+L 273.562954 267.853313 
+L 273.722949 267.828786 
+L 274.042939 267.27418 
+L 274.116783 267.394715 
+L 274.326008 267.7707 
+L 274.36293 267.724676 
+L 274.49831 267.192112 
+L 274.719842 266.4278 
+L 274.744457 266.44506 
+L 274.86753 266.802602 
+L 275.064447 267.298545 
+L 275.101369 267.274964 
+L 275.298286 266.83708 
+L 275.396745 266.781754 
+L 275.433667 266.818018 
+L 275.679813 267.128192 
+L 275.729042 267.061842 
+L 276.036726 266.451701 
+L 276.110569 266.53716 
+L 276.270565 266.702155 
+L 276.307487 266.664321 
+L 276.442867 266.226764 
+L 276.639784 265.663283 
+L 276.676706 265.697936 
+L 276.799779 266.14981 
+L 277.058233 267.000198 
+L 277.070541 266.993338 
+L 277.205921 266.727588 
+L 277.365916 266.523887 
+L 277.390531 266.539286 
+L 277.575141 266.880253 
+L 277.735136 266.975676 
+L 277.747443 266.966596 
+L 278.338195 266.30933 
+L 278.559726 265.861 
+L 278.596648 265.888814 
+L 278.719722 266.243885 
+L 278.990483 267.038139 
+L 279.015097 267.017458 
+L 279.138171 266.664767 
+L 279.482776 265.669971 
+L 279.618156 265.824418 
+L 279.87661 266.08917 
+L 279.888917 266.080873 
+L 280.036605 265.809714 
+L 280.38121 265.16002 
+L 280.787352 265.178821 
+L 281.107342 264.842125 
+L 281.267337 264.730301 
+L 281.427332 264.170037 
+L 282.030391 261.692194 
+L 282.424225 259.763002 
+L 282.63345 257.380852 
+L 282.95344 250.502063 
+L 283.224201 240.156308 
+L 283.531884 217.947132 
+L 284.184172 150.449827 
+L 285.217987 50.723221 
+L 285.377983 47.691284 
+L 285.402597 47.794377 
+L 285.488748 49.471485 
+L 285.661051 58.651753 
+L 286.21488 107.097554 
+L 286.682559 161.94713 
+L 287.334847 236.152314 
+L 287.64253 248.917578 
+L 287.96252 253.662977 
+L 288.491735 258.553325 
+L 289.033257 261.371603 
+L 289.045564 261.368049 
+L 289.267096 261.339845 
+L 289.279403 261.36567 
+L 289.439399 262.039393 
+L 289.66093 262.778206 
+L 289.685545 262.758279 
+L 289.796311 262.418089 
+L 290.177838 261.186638 
+L 290.325526 260.746576 
+L 290.522443 259.166349 
+L 291.433185 250.733856 
+L 291.679331 249.187276 
+L 292.011629 244.716133 
+L 292.196239 243.426447 
+L 292.220853 243.44276 
+L 292.307005 243.886015 
+L 292.491614 246.480973 
+L 292.934678 252.488885 
+L 293.599273 256.986733 
+L 294.251561 264.063376 
+L 294.928464 265.771963 
+L 295.125381 265.921856 
+L 295.531523 266.321891 
+L 295.777669 266.476633 
+L 296.085352 266.648606 
+L 296.491494 266.452681 
+L 296.873021 265.93102 
+L 296.946865 266.028964 
+L 297.29147 266.635565 
+L 297.340699 266.588669 
+L 297.808377 266.120214 
+L 298.005294 266.009256 
+L 298.251441 265.898325 
+L 298.411436 266.191327 
+L 298.768348 266.800086 
+L 298.916036 266.703315 
+L 299.30987 266.199396 
+L 299.3591 266.262716 
+L 299.568324 266.883955 
+L 299.728319 267.14366 
+L 299.752934 267.129069 
+L 299.888315 266.825905 
+L 300.122154 266.375643 
+L 300.134461 266.381324 
+L 300.282149 266.622571 
+L 300.454451 266.801642 
+L 300.479066 266.785926 
+L 300.774442 266.489679 
+L 300.835978 266.590079 
+L 301.106739 267.131692 
+L 301.155969 267.07703 
+L 301.340578 266.486422 
+L 301.500574 266.213365 
+L 301.525188 266.231811 
+L 301.660569 266.552467 
+L 301.882101 266.955616 
+L 301.894408 266.951258 
+L 302.06671 266.725922 
+L 302.202091 266.671692 
+L 302.226706 266.694033 
+L 302.571311 267.111717 
+L 302.632847 267.028818 
+L 302.977452 266.57681 
+L 302.98976 266.585145 
+L 303.863579 267.151793 
+L 304.109726 267.023466 
+L 304.50356 266.626033 
+L 304.786628 266.268537 
+L 304.798936 266.277684 
+L 304.934316 266.56503 
+L 305.229692 267.280134 
+L 305.254307 267.265953 
+L 305.37738 267.003242 
+L 305.648141 266.417823 
+L 305.672756 266.429173 
+L 305.820444 266.687878 
+L 306.029668 266.942889 
+L 306.041975 266.936531 
+L 306.20197 266.695307 
+L 306.398888 266.516361 
+L 306.411195 266.523254 
+L 306.595805 266.794801 
+L 306.792722 266.924641 
+L 306.989639 266.661905 
+L 307.223478 266.506476 
+L 307.641927 266.507714 
+L 308.048069 266.275286 
+L 308.232679 266.542746 
+L 308.466518 266.853822 
+L 308.491132 266.837949 
+L 308.614205 266.553539 
+L 308.921889 265.554767 
+L 308.971118 265.6038 
+L 309.106498 266.125798 
+L 309.340337 266.996012 
+L 309.377259 266.963187 
+L 309.488025 266.517237 
+L 309.83263 264.781224 
+L 309.869552 264.816035 
+L 310.004933 265.267369 
+L 310.251079 265.908688 
+L 310.263387 265.902774 
+L 310.38646 265.677152 
+L 310.681835 265.185335 
+L 311.014133 265.175618 
+L 311.346431 264.748873 
+L 311.383353 264.779325 
+L 311.727958 265.119596 
+L 311.76488 265.077438 
+L 312.232558 264.590328 
+L 312.466397 264.589678 
+L 313.007919 264.113584 
+L 313.352524 263.312351 
+L 313.401754 263.350784 
+L 313.610978 263.577416 
+L 313.660207 263.504131 
+L 313.795588 262.875802 
+L 314.189422 260.961425 
+L 314.349417 260.71453 
+L 314.497105 259.724846 
+L 315.174008 251.8956 
+L 315.506306 243.811466 
+L 316.072442 224.968178 
+L 318.546214 129.38605 
+L 318.718516 127.923149 
+L 318.743131 127.974787 
+L 318.829282 128.697817 
+L 319.001585 132.659786 
+L 319.272346 145.026699 
+L 319.727717 177.45945 
+L 320.515385 235.905606 
+L 320.90922 248.036796 
+L 321.315361 253.353981 
+L 321.59843 255.233612 
+L 322.213796 256.376502 
+L 322.263025 256.319202 
+L 322.447635 255.758461 
+L 322.989157 253.375948 
+L 324.564494 243.172215 
+L 324.687567 242.933049 
+L 324.982943 241.859485 
+L 325.056787 242.048685 
+L 325.204475 243.342142 
+L 326.016758 251.787289 
+L 326.878271 260.09539 
+L 327.136724 261.179757 
+L 327.629017 261.902255 
+L 328.035159 262.32668 
+L 328.182847 262.182408 
+L 328.428993 261.531365 
+L 329.068974 259.809797 
+L 329.413579 258.728332 
+L 330.090481 255.930199 
+L 331.43198 247.387591 
+L 331.628897 246.916727 
+L 331.653511 246.927359 
+L 331.764277 247.185182 
+L 332.047346 248.698399 
+L 332.453487 251.699932 
+L 332.995009 255.815076 
+L 334.053439 263.482175 
+L 334.176512 263.541749 
+L 334.201127 263.523988 
+L 334.447273 263.456635 
+L 335.148791 264.378493 
+L 335.419552 264.762083 
+L 335.678005 264.8777 
+L 335.948766 265.222935 
+L 335.985688 265.183014 
+L 336.145684 264.730268 
+L 336.367215 264.294486 
+L 336.379523 264.301081 
+L 336.527211 264.551802 
+L 336.674898 264.701663 
+L 336.699513 264.680746 
+L 336.822586 264.357772 
+L 337.63487 260.734136 
+L 338.053318 257.162227 
+L 339.173285 246.769651 
+L 339.727114 245.569278 
+L 339.862495 245.7439 
+L 340.010183 245.878397 
+L 340.047105 245.844334 
+L 340.194792 245.426626 
+L 340.379402 245.005014 
+L 340.404017 245.028495 
+L 340.502475 245.375577 
+L 341.314759 250.632421 
+L 341.683978 253.319498 
+L 341.942432 254.559923 
+L 342.643949 259.048211 
+L 343.554691 263.528059 
+L 344.551584 265.111502 
+L 344.773116 265.082614 
+L 345.006955 265.072989 
+L 345.203872 265.437229 
+L 345.425404 265.689503 
+L 345.437711 265.683551 
+L 345.622321 265.437192 
+L 345.819238 265.33534 
+L 346.791517 266.113596 
+L 347.308424 266.746952 
+L 347.382268 266.616363 
+L 347.776102 265.48704 
+L 347.862254 265.594946 
+L 348.42839 266.595754 
+L 348.600693 266.42858 
+L 348.957605 265.903083 
+L 348.994527 265.936679 
+L 349.277596 266.318884 
+L 349.339132 266.215509 
+L 349.536049 265.36872 
+L 349.732967 264.896295 
+L 349.745274 264.90144 
+L 349.954498 265.042223 
+L 349.99142 264.953569 
+L 350.114494 264.156218 
+L 350.557557 260.516091 
+L 350.594479 260.540212 
+L 350.742167 260.6563 
+L 350.779089 260.602985 
+L 350.902162 260.01835 
+L 352.05905 252.308215 
+L 352.539036 252.011479 
+L 352.551343 252.02743 
+L 352.735953 252.493688 
+L 353.179017 254.23911 
+L 354.569744 263.259053 
+L 354.951271 264.212981 
+L 355.18511 264.789007 
+L 355.197417 264.784573 
+L 355.308183 264.594738 
+L 355.529715 264.196552 
+L 355.55433 264.215032 
+L 355.68971 264.553894 
+L 355.898935 264.997797 
+L 355.923549 264.98188 
+L 356.05893 264.674901 
+L 356.24354 264.374437 
+L 356.268154 264.392893 
+L 356.501993 264.736825 
+L 356.56353 264.603696 
+L 356.698911 263.663627 
+L 357.178896 259.948029 
+L 357.375813 259.161227 
+L 357.683496 256.499608 
+L 358.421936 250.778524 
+L 358.680389 249.765277 
+L 358.754233 249.883777 
+L 358.914228 250.769644 
+L 360.132653 260.649186 
+L 360.477258 263.041579 
+L 360.846478 264.062917 
+L 361.178776 265.361641 
+L 361.314156 265.199581 
+L 361.461844 265.097805 
+L 361.486459 265.117054 
+L 361.646454 265.457188 
+L 362.003366 266.131063 
+L 362.298742 266.287313 
+L 362.495659 266.019221 
+L 362.704883 265.899782 
+L 363.024874 265.974959 
+L 363.234098 265.867503 
+L 363.246406 265.881704 
+L 363.381786 266.241926 
+L 363.627933 266.893202 
+L 363.652547 266.877239 
+L 363.763313 266.594971 
+L 364.083303 265.731758 
+L 364.095611 265.736826 
+L 364.280221 265.976471 
+L 364.51406 266.100767 
+L 365.055582 266.057594 
+L 365.252499 265.95426 
+L 365.609411 266.195094 
+L 365.646333 266.136758 
+L 365.880172 265.818903 
+L 365.917094 265.855593 
+L 366.052475 266.266638 
+L 366.372465 267.248026 
+L 366.384773 267.243499 
+L 366.495538 267.057461 
+L 366.950909 266.064605 
+L 366.963217 266.07037 
+L 367.123212 266.29563 
+L 367.418588 266.63886 
+L 367.701656 266.641528 
+L 367.873958 267.180224 
+L 368.09549 267.725654 
+L 368.120105 267.711779 
+L 368.230871 267.442407 
+L 368.587783 266.377138 
+L 368.612398 266.393399 
+L 368.760086 266.708248 
+L 369.129305 267.474699 
+L 369.2893 267.420364 
+L 369.572369 266.993332 
+L 369.990818 266.412343 
+L 370.003125 266.419646 
+L 370.126198 266.663884 
+L 370.495418 267.959437 
+L 370.581569 267.8291 
+L 370.938481 266.735533 
+L 371.024633 266.838828 
+L 371.283086 267.174431 
+L 371.307701 267.155508 
+L 371.59077 266.921239 
+L 371.627691 266.965825 
+L 371.873838 267.293268 
+L 371.923067 267.238322 
+L 372.09537 266.688706 
+L 372.304594 266.250123 
+L 372.316901 266.254843 
+L 372.452282 266.467487 
+L 372.710736 266.775676 
+L 372.91996 266.881512 
+L 373.239951 267.341753 
+L 373.28918 267.290153 
+L 373.621478 266.803862 
+L 373.683014 266.870041 
+L 373.916853 267.077938 
+L 373.941468 267.053933 
+L 374.261458 266.581895 
+L 374.335302 266.693448 
+L 374.618371 267.251781 
+L 374.6676 267.208922 
+L 374.999898 266.649449 
+L 375.086049 266.766238 
+L 375.393732 267.179516 
+L 375.406039 267.172759 
+L 375.762951 267.057291 
+L 375.947561 267.064861 
+L 376.119864 266.676075 
+L 376.329088 266.327113 
+L 376.353703 266.343167 
+L 376.489083 266.645382 
+L 376.796767 267.296833 
+L 376.932147 267.150385 
+L 377.473669 266.402461 
+L 377.596742 266.579693 
+L 378.039806 267.809226 
+L 378.138265 267.706136 
+L 378.445948 267.391444 
+L 378.716709 267.379996 
+L 379.061314 266.959939 
+L 379.110543 267.020423 
+L 379.504377 267.732909 
+L 379.578221 267.640782 
+L 379.99667 267.042235 
+L 380.008977 267.049948 
+L 380.427426 267.220475 
+L 380.661265 267.196365 
+L 380.833568 267.523319 
+L 381.104329 267.961018 
+L 381.116636 267.955213 
+L 381.23971 267.747914 
+L 381.621237 266.90248 
+L 381.658158 266.930749 
+L 381.830461 267.306792 
+L 382.076607 267.708136 
+L 382.088915 267.703261 
+L 382.224295 267.49134 
+L 382.495056 267.036631 
+L 382.519671 267.051356 
+L 382.655052 267.322851 
+L 382.93812 267.859616 
+L 382.950427 267.852921 
+L 383.098115 267.597046 
+L 383.356569 267.249741 
+L 383.799632 267.314793 
+L 384.107315 267.019091 
+L 384.304233 267.245332 
+L 384.538072 267.399627 
+L 384.710374 267.207907 
+L 384.981135 266.965714 
+L 385.153438 267.216644 
+L 385.313433 267.363583 
+L 385.338048 267.343076 
+L 385.461121 267.029452 
+L 385.731882 266.209308 
+L 385.768804 266.243429 
+L 385.891877 266.684527 
+L 386.187253 267.796233 
+L 386.211867 267.781098 
+L 386.347248 267.454547 
+L 386.56878 267.045625 
+L 386.581087 267.049535 
+L 386.778004 267.276038 
+L 386.925692 267.253451 
+L 387.196453 267.006284 
+L 387.233375 267.049055 
+L 387.417985 267.54856 
+L 387.664131 268.002554 
+L 387.787205 267.853928 
+L 388.057966 266.997133 
+L 388.304112 266.526613 
+L 388.414878 266.664698 
+L 388.894864 267.59924 
+L 388.931785 267.576292 
+L 389.374849 267.367191 
+L 389.559459 267.655447 
+L 389.842527 268.112079 
+L 389.867142 268.093284 
+L 390.002522 267.761707 
+L 390.322513 266.933784 
+L 390.33482 266.939969 
+L 390.470201 267.167098 
+L 390.802498 267.66376 
+L 391.257869 267.902554 
+L 391.282484 267.862332 
+L 391.602474 267.392733 
+L 391.639396 267.42336 
+L 391.910157 267.680748 
+L 391.947079 267.639283 
+L 392.291684 267.032249 
+L 392.365528 267.144985 
+L 392.820899 268.073415 
+L 392.857821 268.050711 
+L 393.485494 267.68161 
+L 393.854714 267.943571 
+L 394.063939 267.578176 
+L 394.396236 267.140398 
+L 394.617768 267.12617 
+L 394.802378 267.414666 
+L 395.036217 267.698169 
+L 395.048524 267.691399 
+L 395.196212 267.452822 
+L 395.368515 267.236681 
+L 395.405437 267.26621 
+L 395.540817 267.638733 
+L 395.799271 268.347894 
+L 395.823886 268.331685 
+L 395.934651 268.048521 
+L 396.328486 266.913301 
+L 396.550017 267.051728 
+L 396.820779 267.367185 
+L 397.128462 267.925669 
+L 397.165384 267.887868 
+L 397.300764 267.475761 
+L 397.571525 266.671707 
+L 397.59614 266.684635 
+L 397.719213 266.949878 
+L 397.91613 267.317422 
+L 397.940745 267.301 
+L 398.063818 267.010745 
+L 398.248428 266.6236 
+L 398.28535 266.665266 
+L 398.408423 267.162151 
+L 398.679184 268.348385 
+L 398.703799 268.327327 
+L 398.814565 267.932343 
+L 399.073018 266.912623 
+L 399.10994 266.94495 
+L 399.245321 267.422874 
+L 399.466853 268.071326 
+L 399.491467 268.058604 
+L 399.614541 267.780808 
+L 399.84838 267.317335 
+L 399.872994 267.328555 
+L 400.032989 267.588045 
+L 400.217599 267.745806 
+L 400.229907 267.738196 
+L 400.389902 267.482576 
+L 400.709892 267.047858 
+L 401.214492 266.995215 
+L 401.436024 267.191083 
+L 401.706785 267.358819 
+L 402.088312 267.148397 
+L 402.125234 267.225406 
+L 402.519068 268.226376 
+L 402.592912 268.13332 
+L 403.048283 267.465003 
+L 403.232893 267.339322 
+L 403.651342 266.924311 
+L 404.032869 267.183474 
+L 404.463625 267.451469 
+L 404.746694 267.531299 
+L 404.943611 267.543707 
+L 405.165143 267.178497 
+L 405.36206 267.05575 
+L 405.583591 267.034769 
+L 405.903582 266.491973 
+L 405.977426 266.623297 
+L 406.309723 267.611599 
+L 406.383567 267.515135 
+L 406.666636 266.994135 
+L 406.715865 267.02954 
+L 406.925089 267.158408 
+L 406.949704 267.127779 
+L 407.257387 266.522924 
+L 407.343538 266.676017 
+L 407.601992 267.302216 
+L 407.651221 267.24912 
+L 407.958905 266.545305 
+L 408.045056 266.677336 
+L 408.291202 267.124732 
+L 408.328124 267.088768 
+L 408.672729 266.510371 
+L 408.75888 266.599342 
+L 408.968105 266.701516 
+L 409.337325 266.535285 
+L 409.534242 266.570097 
+L 409.81731 266.208366 
+L 409.878847 266.302728 
+L 410.248066 267.290382 
+L 410.334218 267.175627 
+L 410.580364 266.876902 
+L 410.592671 266.884359 
+L 410.974198 267.041762 
+L 411.232652 266.879912 
+L 411.811096 267.447018 
+L 412.008013 267.576935 
+L 412.020321 267.567202 
+L 412.168008 267.260956 
+L 412.426462 266.778841 
+L 412.43877 266.783207 
+L 412.623379 267.013112 
+L 412.795682 267.054893 
+L 413.004906 267.048104 
+L 413.177209 267.529531 
+L 413.361819 267.891183 
+L 413.386433 267.873145 
+L 413.509506 267.549937 
+L 413.780268 266.85936 
+L 413.792575 266.865765 
+L 413.915648 267.095477 
+L 414.260253 267.72315 
+L 414.481785 267.66098 
+L 414.666395 267.350076 
+L 415.084844 266.458208 
+L 415.109458 266.474039 
+L 415.257146 266.750571 
+L 415.614058 267.501163 
+L 415.638673 267.486686 
+L 415.774054 267.210571 
+L 415.995585 266.766759 
+L 416.0202 266.785509 
+L 416.130966 267.089018 
+L 416.377112 267.886051 
+L 416.414034 267.847046 
+L 416.537108 267.354107 
+L 416.746332 266.523478 
+L 416.783254 266.553139 
+L 416.89402 267.003495 
+L 417.140166 268.063731 
+L 417.177088 268.024729 
+L 417.312469 267.50364 
+L 417.484771 267.012968 
+L 417.521693 267.045176 
+L 417.657074 267.491002 
+L 417.829376 267.907412 
+L 417.853991 267.889657 
+L 417.964757 267.575536 
+L 418.284747 266.689081 
+L 418.469357 266.866363 
+L 418.826269 267.076208 
+L 418.973957 267.001119 
+L 419.257026 266.586109 
+L 419.318562 266.67932 
+L 419.527787 267.518032 
+L 419.638553 267.71037 
+L 419.675475 267.659515 
+L 419.810855 267.034291 
+L 420.032387 266.118236 
+L 420.057002 266.13156 
+L 420.167767 266.458958 
+L 420.401607 267.117186 
+L 420.426221 267.101617 
+L 420.672368 266.779974 
+L 420.746212 266.907781 
+L 420.980051 267.47551 
+L 421.041587 267.398224 
+L 421.34927 266.427515 
+L 421.447729 266.623215 
+L 421.693875 267.308353 
+L 421.743105 267.259817 
+L 422.001558 266.747379 
+L 422.063095 266.858387 
+L 422.395393 267.985424 
+L 422.481544 267.830808 
+L 422.801534 267.039476 
+L 422.838456 267.061342 
+L 423.798427 267.827835 
+L 423.97073 267.912841 
+L 424.15534 267.993017 
+L 424.167647 267.980437 
+L 424.303027 267.636249 
+L 424.549174 266.94328 
+L 424.586096 266.97364 
+L 424.709169 267.398614 
+L 425.016852 268.543586 
+L 425.041467 268.527833 
+L 425.16454 268.229887 
+L 425.53376 267.333788 
+L 425.730677 267.350602 
+L 426.112204 267.461334 
+L 426.444501 267.029888 
+L 426.506038 267.116416 
+L 426.838336 267.921891 
+L 426.924487 267.785629 
+L 427.244477 266.920904 
+L 427.318321 267.002322 
+L 427.798307 267.733265 
+L 427.945995 267.943808 
+L 428.155219 268.268681 
+L 428.192141 268.224823 
+L 428.315214 267.734577 
+L 428.635205 266.107409 
+L 428.684434 266.156562 
+L 428.832122 266.753658 
+L 429.065961 267.453359 
+L 429.078268 267.450888 
+L 429.213649 267.267172 
+L 429.410566 267.132601 
+L 429.681327 267.219843 
+L 429.693634 267.201286 
+L 429.98901 266.722508 
+L 430.050547 266.807321 
+L 430.309 267.351995 
+L 430.370537 267.272407 
+L 430.542839 266.560278 
+L 430.727449 266.068015 
+L 430.752064 266.08559 
+L 430.875137 266.418521 
+L 431.096669 266.94555 
+L 431.121284 266.927704 
+L 431.244357 266.616797 
+L 431.576654 265.795953 
+L 432.413552 265.308645 
+L 432.635084 265.009106 
+L 432.659699 265.025417 
+L 432.795079 265.308761 
+L 433.028918 265.750415 
+L 433.053533 265.734181 
+L 433.188914 265.432764 
+L 433.398138 265.010747 
+L 433.422753 265.025347 
+L 433.533519 265.3157 
+L 433.853509 267.1885 
+L 434.087348 267.844943 
+L 434.198114 267.770656 
+L 434.530412 267.328666 
+L 434.579641 267.376646 
+L 434.81348 267.909903 
+L 434.985782 268.068774 
+L 434.99809 268.061581 
+L 435.158085 267.797903 
+L 435.416539 267.457056 
+L 435.428846 267.464011 
+L 435.564227 267.707175 
+L 435.896524 268.484906 
+L 435.933446 268.453757 
+L 436.068827 268.072852 
+L 436.339588 267.32025 
+L 436.364202 267.336118 
+L 436.487276 267.628601 
+L 436.708807 268.104483 
+L 436.733422 268.084214 
+L 436.856495 267.74807 
+L 437.151871 266.994722 
+L 437.311866 267.187533 
+L 437.496476 267.264424 
+L 437.693393 267.269811 
+L 437.828774 267.674674 
+L 438.148764 268.721549 
+L 438.173379 268.703151 
+L 438.296452 268.389243 
+L 438.801052 266.909077 
+L 439.010277 266.810806 
+L 439.256423 267.057069 
+L 439.477955 267.105562 
+L 439.773331 267.130483 
+L 440.019477 267.131011 
+L 440.277931 267.120705 
+L 440.585614 267.298385 
+L 440.597921 267.284622 
+L 440.967141 266.801703 
+L 441.028677 266.877079 
+L 441.33636 267.179352 
+L 441.631736 267.082986 
+L 441.939419 267.405691 
+L 441.976341 267.363277 
+L 442.308639 266.862878 
+L 442.370175 266.929325 
+L 442.727088 267.352482 
+L 442.751702 267.335159 
+L 443.034771 267.228784 
+L 443.416298 267.438865 
+L 443.428605 267.4237 
+L 443.674751 266.901481 
+L 443.95782 266.497599 
+L 444.080893 266.616132 
+L 444.302425 267.267453 
+L 444.585493 267.837514 
+L 444.708566 267.7245 
+L 445.163937 267.040726 
+L 445.200859 267.069165 
+L 445.385469 267.428508 
+L 445.668538 267.847135 
+L 445.803918 267.661654 
+L 446.197752 267.053163 
+L 446.788504 267.007802 
+L 447.108494 266.781049 
+L 447.268489 267.028065 
+L 447.576172 267.448836 
+L 447.736168 267.22377 
+L 448.006929 266.937884 
+L 448.166924 267.127011 
+L 448.609987 267.729851 
+L 448.745368 267.511547 
+L 449.053051 266.914031 
+L 449.089973 266.944913 
+L 449.249968 267.334683 
+L 449.459193 267.681243 
+L 449.4715 267.675094 
+L 449.60688 267.451984 
+L 449.84072 267.169962 
+L 450.16071 267.21914 
+L 450.443778 266.799628 
+L 450.493008 266.855167 
+L 450.812998 267.462525 
+L 450.899149 267.344408 
+L 451.16991 266.874119 
+L 451.206832 266.900266 
+L 451.551437 267.321343 
+L 451.625281 267.221581 
+L 451.883735 266.94466 
+L 451.896042 266.952534 
+L 452.105267 267.259423 
+L 452.302184 267.344364 
+L 452.782169 267.201461 
+L 453.151389 267.157387 
+L 453.766755 267.067208 
+L 454.012901 267.166334 
+L 454.332892 267.093841 
+L 454.554424 267.658315 
+L 454.702111 267.837159 
+L 454.726726 267.818968 
+L 454.849799 267.52751 
+L 455.16979 266.696196 
+L 455.194404 266.707022 
+L 455.329785 266.945343 
+L 455.637468 267.431993 
+L 455.797463 267.272519 
+L 456.092839 267.032671 
+L 456.277449 267.248168 
+L 456.560517 267.495881 
+L 456.745127 267.293317 
+L 456.991273 267.119642 
+L 457.212805 267.320593 
+L 457.55741 267.510618 
+L 458.000474 267.747813 
+L 458.025088 267.706713 
+L 458.406615 266.934095 
+L 458.480459 267.022078 
+L 458.93583 267.945076 
+L 459.021981 267.864564 
+L 459.428123 267.15307 
+L 459.698884 266.723072 
+L 459.723499 266.73866 
+L 459.834265 267.001017 
+L 460.215792 268.52459 
+L 460.289635 268.388116 
+L 460.474245 267.386924 
+L 460.732699 266.43031 
+L 460.843465 266.539587 
+L 461.052689 266.769146 
+L 461.077304 266.749308 
+L 461.224992 266.415945 
+L 461.495753 265.942468 
+L 461.729592 265.912028 
+L 461.864973 265.341516 
+L 462.184963 263.688048 
+L 462.234192 263.737038 
+L 462.369573 264.298067 
+L 462.578797 265.007707 
+L 462.603412 264.990935 
+L 462.714178 264.652758 
+L 462.960324 263.836951 
+L 462.997246 263.87195 
+L 463.132627 264.357518 
+L 463.378773 265.124459 
+L 463.39108 265.118939 
+L 463.501846 264.884513 
+L 463.809529 264.106615 
+L 463.834144 264.121508 
+L 463.957217 264.40739 
+L 464.277208 266.021405 
+L 464.511047 266.631374 
+L 464.658735 266.542756 
+L 464.843344 266.520519 
+L 465.347945 266.949725 
+L 465.471018 267.009495 
+L 465.667935 267.546116 
+L 465.815623 267.769697 
+L 465.852545 267.73762 
+L 466.000233 267.305612 
+L 466.246379 266.747701 
+L 466.258686 266.753012 
+L 466.406374 266.983298 
+L 466.70175 267.342131 
+L 467.120199 267.600123 
+L 467.157121 267.53955 
+L 467.427882 267.139177 
+L 467.464804 267.172687 
+L 467.735565 267.570586 
+L 467.797102 267.479153 
+L 468.154014 266.484259 
+L 468.26478 266.61779 
+L 468.437082 266.761438 
+L 468.461697 266.73796 
+L 468.757073 266.296708 
+L 468.830917 266.422747 
+L 469.064756 266.921591 
+L 469.113985 266.854326 
+L 469.249365 266.251176 
+L 469.606278 264.727606 
+L 470.037034 264.471779 
+L 470.320102 264.46312 
+L 470.529327 263.810057 
+L 470.6524 263.627152 
+L 470.689322 263.66834 
+L 470.824703 264.177771 
+L 471.169308 265.394322 
+L 471.329303 265.82653 
+L 471.698522 267.640282 
+L 471.784674 267.500482 
+L 472.067742 266.72495 
+L 472.129279 266.779044 
+L 472.375425 267.052486 
+L 472.412347 267.01339 
+L 472.646186 266.748984 
+L 472.683108 266.78925 
+L 472.978484 267.320303 
+L 473.052328 267.192517 
+L 473.298474 266.64217 
+L 473.347704 266.702611 
+L 473.667694 267.522573 
+L 473.766152 267.366599 
+L 473.91384 267.148263 
+L 473.950762 267.181373 
+L 474.073836 267.599011 
+L 474.258445 268.225233 
+L 474.295367 268.192499 
+L 474.406133 267.679829 
+L 474.689202 266.11099 
+L 474.726124 266.152282 
+L 474.873811 266.749478 
+L 475.021499 267.132388 
+L 475.058421 267.101347 
+L 475.230724 266.584793 
+L 475.316875 266.474176 
+L 475.353797 266.518137 
+L 475.47687 267.03676 
+L 475.698402 267.891404 
+L 475.723017 267.864559 
+L 475.833782 267.432167 
+L 476.067622 266.527778 
+L 476.092236 266.548994 
+L 476.215309 266.966445 
+L 476.412227 267.563153 
+L 476.449149 267.536889 
+L 476.596836 267.112921 
+L 476.71991 266.905392 
+L 476.756832 266.951701 
+L 476.879905 267.481873 
+L 477.126051 268.535857 
+L 477.150666 268.514685 
+L 477.261432 268.11594 
+L 477.507578 267.193757 
+L 477.532193 267.216275 
+L 477.642959 267.583778 
+L 477.864491 268.343117 
+L 477.901412 268.316029 
+L 478.012178 267.934411 
+L 478.307554 266.817809 
+L 478.332169 266.828372 
+L 478.455242 267.087871 
+L 478.73831 267.609801 
+L 479.242911 267.457763 
+L 479.722896 267.317802 
+L 480.190574 267.591675 
+L 480.535179 268.498723 
+L 480.584409 268.448094 
+L 480.756711 267.928692 
+L 480.99055 267.482701 
+L 481.17516 267.629627 
+L 481.347463 267.632101 
+L 481.962829 267.272537 
+L 482.135131 267.40589 
+L 482.418199 267.70985 
+L 482.442814 267.684923 
+L 482.602809 267.285547 
+L 482.836648 266.84771 
+L 482.848956 266.852631 
+L 483.021258 267.087669 
+L 483.156639 267.140665 
+L 483.181253 267.116139 
+L 483.476629 266.730789 
+L 483.538166 266.822158 
+L 483.845849 267.455304 
+L 483.907385 267.377041 
+L 484.227376 266.77895 
+L 484.288912 266.841965 
+L 484.62121 267.173887 
+L 484.965815 267.050587 
+L 485.162732 267.034343 
+L 485.507337 266.813042 
+L 485.519644 266.825915 
+L 485.851942 267.054741 
+L 486.085781 266.953673 
+L 486.098089 266.967975 
+L 486.282698 267.410711 
+L 486.442694 267.632195 
+L 486.467308 267.613645 
+L 486.602689 267.278365 
+L 486.885757 266.655306 
+L 487.476509 266.877875 
+L 487.833421 267.776032 
+L 487.907265 267.673498 
+L 488.338021 266.702511 
+L 488.399558 266.754509 
+L 488.707241 267.299226 
+L 488.953387 267.538441 
+L 489.088768 267.333227 
+L 489.421065 266.685871 
+L 489.44568 266.70421 
+L 489.605675 267.035778 
+L 489.888744 267.47614 
+L 490.799485 267.712368 
+L 491.057939 267.94037 
+L 491.414851 267.710722 
+L 491.451773 267.779991 
+L 491.722535 268.303594 
+L 491.771764 268.244413 
+L 491.919452 267.673948 
+L 492.227135 266.611517 
+L 492.337901 266.777735 
+L 492.596354 267.189419 
+L 492.620969 267.173144 
+L 492.793271 266.853427 
+L 493.014803 266.635068 
+L 493.371716 266.733371 
+L 493.937852 265.880395 
+L 494.073233 265.795754 
+L 494.319379 265.183949 
+L 494.45476 265.062951 
+L 494.479375 265.082244 
+L 494.63937 265.428029 
+L 494.836287 265.714149 
+L 494.860902 265.698833 
+L 495.008589 265.413593 
+L 495.242428 265.092942 
+L 495.427038 265.295573 
+L 495.574726 265.309893 
+L 495.734721 264.963476 
+L 496.042404 264.389809 
+L 496.2024 264.480803 
+L 496.460853 264.936743 
+L 496.866995 265.693754 
+L 496.879302 265.688426 
+L 497.039297 265.472998 
+L 497.260829 265.273866 
+L 497.273137 265.282157 
+L 497.420824 265.552344 
+L 498.08542 267.056892 
+L 498.282337 267.068762 
+L 498.59002 267.016732 
+L 498.95924 267.454396 
+L 499.033083 267.336999 
+L 499.41461 266.322842 
+L 499.500762 266.438812 
+L 499.833059 267.125316 
+L 499.882289 267.074126 
+L 500.411503 266.429103 
+L 500.571499 266.192802 
+L 500.829952 265.840298 
+L 500.84226 265.848018 
+L 501.039177 266.152346 
+L 501.149943 266.191279 
+L 501.174557 266.164456 
+L 501.322245 265.762616 
+L 501.642236 265.007234 
+L 501.863767 264.750849 
+L 502.294524 264.000402 
+L 502.454519 263.8966 
+L 502.786817 263.224582 
+L 502.86066 263.350141 
+L 503.168344 264.202073 
+L 503.22988 264.117768 
+L 503.500641 263.460478 
+L 503.562178 263.559579 
+L 503.722173 264.352146 
+L 504.054471 265.732629 
+L 504.485227 266.206547 
+L 504.768295 266.232368 
+L 504.940598 266.914192 
+L 505.137515 267.5238 
+L 505.16213 267.509944 
+L 505.260588 267.22165 
+L 505.605193 265.834834 
+L 505.654422 265.876917 
+L 505.826625 266.272418 
+L 505.826625 266.272418 
+" clip-path="url(#paad4e5c585)" style="fill: none; stroke: #0000ff; stroke-linecap: square"/>
    </g>
    <g id="patch_3">
-    <path d="M 43.36125 283.910437 
-L 43.36125 17.798437 
+    <path d="M 28.1 283.910437 
+L 28.1 17.798437 
 " style="fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square"/>
    </g>
    <g id="patch_4">
-    <path d="M 400.48125 283.910437 
-L 400.48125 17.798437 
+    <path d="M 385.22 283.910437 
+L 385.22 17.798437 
 " style="fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square"/>
    </g>
    <g id="patch_5">
-    <path d="M 43.36125 283.910437 
-L 400.48125 283.910437 
+    <path d="M 28.1 283.910437 
+L 385.22 283.910437 
 " style="fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square"/>
    </g>
    <g id="patch_6">
-    <path d="M 43.36125 17.798437 
-L 400.48125 17.798437 
+    <path d="M 28.1 17.798437 
+L 385.22 17.798437 
 " style="fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square"/>
    </g>
    <g id="legend_1">
     <g id="patch_7">
-     <path d="M 426.73725 61.774687 
-L 510.487875 61.774687 
-Q 512.887875 61.774687 512.887875 59.374687 
-L 512.887875 26.198437 
-Q 512.887875 23.798437 510.487875 23.798437 
-L 426.73725 23.798437 
-Q 424.33725 23.798437 424.33725 26.198437 
-L 424.33725 59.374687 
-Q 424.33725 61.774687 426.73725 61.774687 
+     <path d="M 411.476 61.774687 
+L 495.226625 61.774687 
+Q 497.626625 61.774687 497.626625 59.374687 
+L 497.626625 26.198437 
+Q 497.626625 23.798437 495.226625 23.798437 
+L 411.476 23.798437 
+Q 409.076 23.798437 409.076 26.198437 
+L 409.076 59.374687 
+Q 409.076 61.774687 411.476 61.774687 
 z
 " style="fill: #ffffff; opacity: 0.8; stroke: #cccccc; stroke-linejoin: miter"/>
     </g>
     <g id="line2d_21">
-     <path d="M 429.13725 33.134062 
-L 441.13725 33.134062 
-L 453.13725 33.134062 
+     <path d="M 413.876 33.134062 
+L 425.876 33.134062 
+L 437.876 33.134062 
 " style="fill: none; stroke: #ffa500; stroke-linecap: square"/>
     </g>
-    <g id="text_22">
+    <g id="text_21">
      <!-- Glycine -->
-     <g transform="translate(462.73725 37.334062) scale(0.12 -0.12)">
+     <g transform="translate(447.476 37.334062) scale(0.12 -0.12)">
       <defs>
        <path id="ArialMT-47" d="M 2638 1797 
 L 2638 2334 
@@ -7800,6 +7366,27 @@ L 972 4581
 L 972 0 
 L 409 0 
 z
+" transform="scale(0.015625)"/>
+       <path id="ArialMT-79" d="M 397 -1278 
+L 334 -750 
+Q 519 -800 656 -800 
+Q 844 -800 956 -737 
+Q 1069 -675 1141 -563 
+Q 1194 -478 1313 -144 
+Q 1328 -97 1363 -6 
+L 103 3319 
+L 709 3319 
+L 1400 1397 
+Q 1534 1031 1641 628 
+Q 1738 1016 1872 1384 
+L 2581 3319 
+L 3144 3319 
+L 1881 -56 
+Q 1678 -603 1566 -809 
+Q 1416 -1088 1222 -1217 
+Q 1028 -1347 759 -1347 
+Q 597 -1347 397 -1278 
+z
 " transform="scale(0.015625)"/>
        <path id="ArialMT-63" d="M 2588 1216 
 L 3141 1144 
@@ -7822,26 +7409,85 @@ Q 1341 388 1753 388
 Q 2084 388 2306 591 
 Q 2528 794 2588 1216 
 z
+" transform="scale(0.015625)"/>
+       <path id="ArialMT-69" d="M 425 3934 
+L 425 4581 
+L 988 4581 
+L 988 3934 
+L 425 3934 
+z
+M 425 0 
+L 425 3319 
+L 988 3319 
+L 988 0 
+L 425 0 
+z
+" transform="scale(0.015625)"/>
+       <path id="ArialMT-6e" d="M 422 0 
+L 422 3319 
+L 928 3319 
+L 928 2847 
+Q 1294 3394 1984 3394 
+Q 2284 3394 2536 3286 
+Q 2788 3178 2913 3003 
+Q 3038 2828 3088 2588 
+Q 3119 2431 3119 2041 
+L 3119 0 
+L 2556 0 
+L 2556 2019 
+Q 2556 2363 2490 2533 
+Q 2425 2703 2258 2804 
+Q 2091 2906 1866 2906 
+Q 1506 2906 1245 2678 
+Q 984 2450 984 1813 
+L 984 0 
+L 422 0 
+z
+" transform="scale(0.015625)"/>
+       <path id="ArialMT-65" d="M 2694 1069 
+L 3275 997 
+Q 3138 488 2766 206 
+Q 2394 -75 1816 -75 
+Q 1088 -75 661 373 
+Q 234 822 234 1631 
+Q 234 2469 665 2931 
+Q 1097 3394 1784 3394 
+Q 2450 3394 2872 2941 
+Q 3294 2488 3294 1666 
+Q 3294 1616 3291 1516 
+L 816 1516 
+Q 847 969 1125 678 
+Q 1403 388 1819 388 
+Q 2128 388 2347 550 
+Q 2566 713 2694 1069 
+z
+M 847 1978 
+L 2700 1978 
+Q 2663 2397 2488 2606 
+Q 2219 2931 1791 2931 
+Q 1403 2931 1139 2672 
+Q 875 2413 847 1978 
+z
 " transform="scale(0.015625)"/>
       </defs>
       <use xlink:href="#ArialMT-47"/>
-      <use xlink:href="#ArialMT-6c" x="77.783203"/>
-      <use xlink:href="#ArialMT-79" x="100"/>
-      <use xlink:href="#ArialMT-63" x="150"/>
-      <use xlink:href="#ArialMT-69" x="200"/>
-      <use xlink:href="#ArialMT-6e" x="222.216797"/>
-      <use xlink:href="#ArialMT-65" x="277.832031"/>
+      <use xlink:href="#ArialMT-6c" transform="translate(77.783203 0)"/>
+      <use xlink:href="#ArialMT-79" transform="translate(100 0)"/>
+      <use xlink:href="#ArialMT-63" transform="translate(150 0)"/>
+      <use xlink:href="#ArialMT-69" transform="translate(200 0)"/>
+      <use xlink:href="#ArialMT-6e" transform="translate(222.216797 0)"/>
+      <use xlink:href="#ArialMT-65" transform="translate(277.832031 0)"/>
      </g>
     </g>
     <g id="line2d_22">
-     <path d="M 429.13725 50.249062 
-L 441.13725 50.249062 
-L 453.13725 50.249062 
+     <path d="M 413.876 50.249062 
+L 425.876 50.249062 
+L 437.876 50.249062 
 " style="fill: none; stroke: #0000ff; stroke-linecap: square"/>
     </g>
-    <g id="text_23">
+    <g id="text_22">
      <!-- Tyrosine -->
-     <g transform="translate(462.73725 54.449062) scale(0.12 -0.12)">
+     <g transform="translate(447.476 54.449062) scale(0.12 -0.12)">
       <defs>
        <path id="ArialMT-54" d="M 1659 0 
 L 1659 4041 
@@ -7891,24 +7537,60 @@ Q 2184 2928 1769 2928
 Q 1347 2928 1069 2612 
 Q 791 2297 791 1659 
 z
+" transform="scale(0.015625)"/>
+       <path id="ArialMT-73" d="M 197 991 
+L 753 1078 
+Q 800 744 1014 566 
+Q 1228 388 1613 388 
+Q 2000 388 2187 545 
+Q 2375 703 2375 916 
+Q 2375 1106 2209 1216 
+Q 2094 1291 1634 1406 
+Q 1016 1563 777 1677 
+Q 538 1791 414 1992 
+Q 291 2194 291 2438 
+Q 291 2659 392 2848 
+Q 494 3038 669 3163 
+Q 800 3259 1026 3326 
+Q 1253 3394 1513 3394 
+Q 1903 3394 2198 3281 
+Q 2494 3169 2634 2976 
+Q 2775 2784 2828 2463 
+L 2278 2388 
+Q 2241 2644 2061 2787 
+Q 1881 2931 1553 2931 
+Q 1166 2931 1000 2803 
+Q 834 2675 834 2503 
+Q 834 2394 903 2306 
+Q 972 2216 1119 2156 
+Q 1203 2125 1616 2013 
+Q 2213 1853 2448 1751 
+Q 2684 1650 2818 1456 
+Q 2953 1263 2953 975 
+Q 2953 694 2789 445 
+Q 2625 197 2315 61 
+Q 2006 -75 1616 -75 
+Q 969 -75 630 194 
+Q 291 463 197 991 
+z
 " transform="scale(0.015625)"/>
       </defs>
       <use xlink:href="#ArialMT-54"/>
-      <use xlink:href="#ArialMT-79" x="55.583984"/>
-      <use xlink:href="#ArialMT-72" x="105.583984"/>
-      <use xlink:href="#ArialMT-6f" x="138.884766"/>
-      <use xlink:href="#ArialMT-73" x="194.5"/>
-      <use xlink:href="#ArialMT-69" x="244.5"/>
-      <use xlink:href="#ArialMT-6e" x="266.716797"/>
-      <use xlink:href="#ArialMT-65" x="322.332031"/>
+      <use xlink:href="#ArialMT-79" transform="translate(55.583984 0)"/>
+      <use xlink:href="#ArialMT-72" transform="translate(105.583984 0)"/>
+      <use xlink:href="#ArialMT-6f" transform="translate(138.884766 0)"/>
+      <use xlink:href="#ArialMT-73" transform="translate(194.5 0)"/>
+      <use xlink:href="#ArialMT-69" transform="translate(244.5 0)"/>
+      <use xlink:href="#ArialMT-6e" transform="translate(266.716797 0)"/>
+      <use xlink:href="#ArialMT-65" transform="translate(322.332031 0)"/>
      </g>
     </g>
    </g>
   </g>
  </g>
  <defs>
-  <clipPath id="p2dc09b3a07">
-   <rect x="43.36125" y="17.798437" width="357.12" height="266.112"/>
+  <clipPath id="paad4e5c585">
+   <rect x="28.1" y="17.798437" width="357.12" height="266.112"/>
   </clipPath>
  </defs>
 </svg>
diff --git a/docs/gen_ref_pages.py b/docs/gen_ref_pages.py
index 3fd78aa..5bba715 100644
--- a/docs/gen_ref_pages.py
+++ b/docs/gen_ref_pages.py
@@ -19,7 +19,7 @@
 
     parts = tuple(module_path.parts)
 
-    if parts[-1] in ("__init__", "__main__"):
+    if parts[-1] in ("__init__", "__main__", "_helpers"):
         continue
 
     nav[parts] = doc_path.as_posix()
diff --git a/docs/user_guide/dmfit_plots.ipynb b/docs/user_guide/dmfit_plots.ipynb
index ee1f4ee..2ec4c61 100644
--- a/docs/user_guide/dmfit_plots.ipynb
+++ b/docs/user_guide/dmfit_plots.ipynb
@@ -4,7 +4,9 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "`SpinPlots` provides functionality to easily plot fits of NMR data done using [DMfit](https://nmr.cemhti.cnrs-orleans.fr/)."
+    "# Plotting DMFit data\n",
+    "\n",
+    "`SpinPlots` provides functionality to easily plot fits of NMR data done using [DMFit](https://nmr.cemhti.cnrs-orleans.fr/). Both 1D and 2D spectra are supported, including overlays, stacked views, and grid layouts."
    ]
   },
   {
@@ -33,7 +35,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -43,10 +45,8 @@
     }
    ],
    "source": [
-    "from __future__ import annotations\n",
     "import warnings\n",
     "warnings.filterwarnings(\"ignore\", category=UserWarning)\n",
-    "\n",
     "from spinplots.io import read_nmr\n",
     "\n",
     "dmfit_data = read_nmr(\"../../data/DMFit/overlapping_spe_fit.ppm\",\n",
@@ -61,7 +61,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -74,14 +74,13 @@
     "dmfit_data.plot(\n",
     "    xlim=(120, -70),\n",
     "    xaxislabel=\"$^{31}$P (ppm)\",    # Add a label to the x-axis\n",
-    "    linewidth=2,                    # Increase with of spectrum\n",
-    "    model_linewidth=3,              # Increase with of model\n",
+    "    linewidth=2,                    # Increase width of spectrum\n",
+    "    model_linewidth=3,              # Increase width of model\n",
     "    model_linestyle='-.',           # Change the linestyle of the model\n",
     "    model_color='orange',           # Change the color of the model\n",
     "    model_alpha=0.8,                # Transparency of the model\n",
     "    deconv_show=False,              # Hide the deconvolution curves\n",
-    "    deconv_alpha=0,                 # Transparency of the deconvolution\n",
-    "    labels=[\"Spectrum\", \"Model\"],  # Add a legend\n",
+    "    labels=[\"Spectrum\", \"Model\"],   # Add a legend\n",
     ")"
    ]
   },
@@ -89,24 +88,130 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Plot 2D Fits"
+    "### Overlaying multiple 1D DMFit spectra\n",
+    "\n",
+    "Multiple DMFit exports can be loaded and plotted together. Each spectrum is shown with its own color:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Load the same file twice for demonstration (use different exports in practice)\n",
+    "multi_dmfit = read_nmr(\n",
+    "    [\"../../data/DMFit/overlapping_spe_fit.ppm\", \"../../data/DMFit/overlapping_spe_fit.ppm\"],\n",
+    "    provider=\"dmfit\",\n",
+    "    tags=[\"Sample A\", \"Sample B\"],\n",
+    ")\n",
+    "multi_dmfit.plot(\n",
+    "    color=[\"blue\", \"green\"],\n",
+    "    xlim=(120, -70),\n",
+    "    labels=[\"Sample A\", \"Sample B\"],\n",
+    ")"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "DMFit also allows fitting of 2D NMR spectra such as this $^1$H-$^{31}$P [HETCOR example](https://nmr.cemhti.cnrs-orleans.fr/Dmfit/Howto/2D_Heteronuclear.aspx). To use such data in SpinPlots, you need to export the 2D `spectrum` and the model `fit` in DMFit as `.ppm` files."
+    "### Stacked 1D DMFit spectra\n",
+    "\n",
+    "Use `stacked=True` to offset spectra vertically, which is useful for comparing lineshapes:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "multi_dmfit.plot(\n",
+    "    color=[\"blue\", \"green\"],\n",
+    "    xlim=(120, -70),\n",
+    "    stacked=True,\n",
+    "    labels=[\"Sample A\", \"Sample B\"],\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Grid layout for 1D DMFit spectra\n",
+    "\n",
+    "Use `grid=\"1x2\"` to place each spectrum in its own subplot. Each subplot shows the experimental spectrum, the model fit, and the deconvoluted components:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1000x400 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "multi_dmfit.plot(\n",
+    "    grid=\"1x2\",\n",
+    "    color=[\"blue\", \"green\"],\n",
+    "    xlim=(120, -70),\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Plotting 2D fits"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "DMFit also allows fitting of 2D NMR spectra such as this <sup>1</sup>H-<sup>31</sup>P [HETCOR example](https://nmr.cemhti.cnrs-orleans.fr/Dmfit/Howto/2D_Heteronuclear.aspx). To use such data in SpinPlots, you need to export the 2D `spectrum` and the model `fit` in DMFit as `.ppm` files."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 800x700 with 3 Axes>"
       ]
@@ -117,29 +222,81 @@
    ],
    "source": [
     "# Read a 2D 1H-31P HETCOR spectrum and fit\n",
-    "hector = read_nmr(\n",
+    "hetcor = read_nmr(\n",
     "    ['../../data/DMFit/hetcor_spectrum.ppm', \n",
     "     '../../data/DMFit/hetcor_model.ppm'],\n",
     "    provider=\"dmfit\",\n",
     "    tags=[\"spectrum\", \"fit\"],   \n",
     ")\n",
     "\n",
-    "hector.plot(\n",
+    "hetcor.plot(\n",
     "    contour_start=10,\n",
     "    contour_num=25,\n",
     "    contour_factor=1.5,\n",
-    "    colors=['black', 'red'],\n",
+    "    color=['black', 'red'],\n",
     "    xlim=(38, 24),\n",
     "    ylim=(22, 16),\n",
-    "    xaxislabel=\"$^{31}$P $\\delta$ / ppm\",\n",
-    "    yaxislabel=\"$^{1}$H $\\delta$ / ppm\",\n",
-    ")\n"
+    "    xaxislabel=r\"$^{31}$P $\\delta$ / ppm\",\n",
+    "    yaxislabel=r\"$^{1}$H $\\delta$ / ppm\",\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Grid layout for 2D DMFit spectra\n",
+    "\n",
+    "For 2D DMFit grid plots, data must be provided in pairs (experimental + model). Use `grid=\"1x1\"` to show a single pair in a subplot with projections. Additional customization options include `linewidth_contour`, `linewidth_proj`, and `diagonal`:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1200x600 with 6 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "multi_2d = read_nmr(\n",
+    "    ['../../data/DMFit/hetcor_spectrum.ppm', \n",
+    "     '../../data/DMFit/hetcor_model.ppm',\n",
+    "     '../../data/DMFit/hetcor_spectrum.ppm', \n",
+    "     '../../data/DMFit/hetcor_model.ppm'],\n",
+    "    provider=\"dmfit\",\n",
+    "    tags=[\"spectrum A\", \"fit A\", \"spectrum B\", \"fit B\"],\n",
+    ")\n",
+    "\n",
+    "\n",
+    "multi_2d.plot(\n",
+    "    grid=\"1x2\",\n",
+    "    contour_start=10,\n",
+    "    contour_num=15,\n",
+    "    contour_factor=1.5,\n",
+    "    color=[[\"black\", \"red\"], [\"black\", \"green\"]],\n",
+    "    xlim=(38, 24),\n",
+    "    ylim=(22, 16),\n",
+    "    linewidth_contour=0.8,\n",
+    "    linewidth_proj=1.2,\n",
+    "    xaxislabel=r\"$^{31}$P $\\delta$ / ppm\",\n",
+    "    yaxislabel=r\"$^{1}$H $\\delta$ / ppm\",\n",
+    "    titles=[\"Sample A\", \"Sample B\"],\n",
+    ")"
    ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "main",
    "language": "python",
    "name": "python3"
   },
@@ -153,7 +310,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.9"
+   "version": "3.12.12"
   }
  },
  "nbformat": 4,
diff --git a/docs/user_guide/easy_plots.ipynb b/docs/user_guide/easy_plots.ipynb
index a181643..09baca0 100644
--- a/docs/user_guide/easy_plots.ipynb
+++ b/docs/user_guide/easy_plots.ipynb
@@ -4,9 +4,13 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "The current version of `SpinPlots` only works with processed Bruker data. If you’re dealing with unprocessed data or using data from a different brand, we recommend using [NMRglue](https://www.nmrglue.com/) instead. Also, if you want more control over the looks of your plot, `SpinPlots` might feel a bit limited since it mostly sticks to the default matplotlib style for now.\n",
+    "# Quick Start: Plotting NMR spectra\n",
     "\n",
-    "For this tutorial a series of <sup>13</sup>C,<sup>15</sup>N-labelled Tyrosine and <sup>13</sup>C,<sup>15</sup>N labelled Glycine spectra are used to show the implementation of `SpinPlots`."
+    "`SpinPlots` lets you load and plot processed NMR data in just a few lines of code. It currently supports **Bruker** processed data and **DMFit** exports (1D and 2D). For raw/unprocessed data or other instrument vendors, see [NMRglue](https://www.nmrglue.com/).\n",
+    "\n",
+    "This tutorial covers Bruker data. For DMFit plotting, see the [DMFit Plots](dmfit_plots.ipynb) tutorial. To learn how to access raw data arrays and build fully custom matplotlib figures, see [Working with Spin Objects](spin_objects.ipynb).\n",
+    "\n",
+    "The examples below use <sup>13</sup>C,<sup>15</sup>N-labelled Tyrosine and Glycine spectra."
    ]
   },
   {
@@ -43,7 +47,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -61,30 +65,33 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "`SpinPlots` uses Matplotlib's standard style by default. If you want to customize the appearance of your spectra, you can use the option `return_fig=True`. This allows you to return the figure object and modify it as needed before displaying or saving it."
+    "`SpinPlots` uses Matplotlib's default style. To further customize a plot, pass `return_fig=True` to get the figure and axes objects back, then modify them with standard matplotlib calls. See the [Read and Export](read_export.ipynb) tutorial for an example."
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Costumization of 1D spectra"
+    "### Customization of 1D spectra"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "The `plot` function has a bunch of useful features beyond just making a simple plot. Some of the key ones include:\n",
+    "The `.plot()` method accepts many keyword arguments to customize the output. Key options for 1D spectra include:\n",
     "\n",
-    "- Plotting several plots together\n",
-    "- Plot with/without frame\n",
-    "- Labelling of spectra\n",
-    "- Normalization of data\n",
-    "- Select colors for each spectrum using [matplotlib's colors](https://matplotlib.org/stable/gallery/color/named_colors.html)\n",
-    "- Saving the plot directly to a file\n",
+    "- **Overlay** multiple spectra on the same axes\n",
+    "- **Labels** and **colors** for each spectrum (supports [matplotlib named colors](https://matplotlib.org/stable/gallery/color/named_colors.html) and hex codes)\n",
+    "- **Normalization** by maximum intensity (`normalize=\"max\"`) or number of scans (`normalize=\"scans\"`)\n",
+    "- **Stacking** spectra vertically (`stacked=True`)\n",
+    "- **Grid layouts** for side-by-side subplots (`grid=\"1x2\"`)\n",
+    "- **Frame** control (`frame=True` to show y-axis and spines)\n",
+    "- **Font** and **tick** customization (`axisfont`, `axisfontsize`, `tickfont`, `tickfontsize`, `tickspacing`)\n",
+    "- **Save** directly to file (`save=True`, `filename=...`, `format=...`)\n",
+    "- **Return** the matplotlib figure for further editing (`return_fig=True`)\n",
     "\n",
-    "The following examples includes all options currently available in the `plot` for 1D data function."
+    "The following example demonstrates the most common options:"
    ]
   },
   {
@@ -94,7 +101,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -139,7 +146,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -183,7 +190,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -229,7 +236,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -280,7 +287,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -325,7 +332,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -391,7 +398,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 1000x400 with 2 Axes>"
       ]
@@ -428,7 +435,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA94AAAMWCAYAAAAH1l7yAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8hTgPZAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOzdd3gU5doG8Hu2pBdKIPQOSpEuiKKAoqAcFfUcERUQFSuK5LNxlGI5YkWwogiiYkGxoKJIEWw0AbHQew8kpLctM/P9sTuzPWWzZXZy/66LS7P13U12Z573ed7nFWRZlkFEREREREREYWGI9gCIiIiIiIiI9IyBNxEREREREVEYMfAmIiIiIiIiCiMG3kRERERERERhxMCbiIiIiIiIKIwYeBMRERERERGFEQNvIiIiIiIiojBi4E1EREREREQURqZoDyDaJEnCiRMnkJqaCkEQoj0cIiKqQ2RZRnFxMZo1awaDgXPhVeExm4iIoqW2x+w6H3ifOHECLVu2jPYwiIioDjt69ChatGgR7WFoHo/ZREQUbcEes+t84J2amgrA8QampaVFeTRERFSXFBUVoWXLluqxiCrHYzYREUVLbY/ZdT7wVkrV0tLSeBAnIqKoYNl09fCYTURE0RbsMZsLyoiIiIiIiIjCiIE3ERERERERURgx8CYiIiIiIiIKIwbeRERERERERGFU55urERFFmyiKsNls0R4GhZjZbIbRaIz2MIjID37v1i38PiYtYOBNRBQlsiwjOzsbhYWFkGU52sOhEBMEAenp6WjSpAm7lhNpBL936yZ+H5MWMPAmIoqSwsJCFBQUoFGjRkhOTubJgI7IsozS0lLk5OQgMTER9erVi/aQiAj83q2L+H1MWqGpwPvnn3/GCy+8gC1btuDkyZP48ssvMXLkyErvs3btWmRlZWH79u1o2bIlHn/8cdxyyy0RGS8RUbBkWcbp06eRlpaGjIyMaA+HwiAxMREWiwWnT59Genq67k7wecymWMPv3bpL79/HFBs01VyttLQUPXr0wOuvv16t2x88eBAjRozAkCFDsG3bNjzwwAO4/fbb8cMPP4R5pEREtSOKIkRRRFpaWrSHQmGUlpam/q71hsdsijX83q3b9Px9TLFBUxnvyy+/HJdffnm1bz937ly0bdsWL730EgCgc+fO+PXXX/Hyyy9j2LBh4RomEVGt2e12AIDJpKmvYQox5fdrt9t197vmMZtiDb936zY9fx9TbNBUxrum1q9fj6FDh3pcNmzYMKxfvz5KI4oOWZZRXm6N9jCIKAgsd9M3/n5deMyuHlmWUVbBbtvhxM9l3cTfO0VbTAfe2dnZyMzM9LgsMzMTRUVFKC8v93sfi8WCoqIij3+x7un/LUVq2oRoD4OIiCggHrOr5/mPNiF12GxIEjtuExHpSUwH3sGYOXMm0tPT1X8tW7aM9pBq7dtv/oj2EIiIamXGjBlhzUa0adOGTbxikB6P2VX5dt0+AEC5hVlv0qdwf98TaVVMB95NmjTBqVOnPC47deoU0tLSkJiY6Pc+U6ZMQWFhofrv6NGjkRhqWClfXtyPkoi05uDBg5g4cSI6deqEpKQkJCUloUuXLrj33nvx119/RXt4FEE8ZlePwXlMt4s8plP1CIJQrX9r166N9lCJ6rSY7iwwYMAAfPfddx6XrVy5EgMGDAh4n/j4eMTHx4d7aJHlnDSUZZkziESkGd9++y1GjRoFk8mEm266CT169IDBYMCuXbvwxRdf4M0338TBgwfRunXrsI9l9+7dMBhieq455vGYXTOiJEV7CBQjPvjgA4+f33//faxcudLn8s6dO0dyWAE9/vjjePTRR6M9DKKI01TgXVJSgn379qk/Hzx4ENu2bUODBg3QqlUrTJkyBcePH8f7778PALjrrrvw2muv4eGHH8att96KH3/8EZ9++imWLVsWrZcQFa6Md5QHQkTktH//ftxwww1o3bo1Vq9ejaZNm3pc/9xzz+GNN96IWDBcV4O3cOIxOzwENePNwJuq5+abb/b4ecOGDVi5cqXP5cGQJAlWqxUJCQm1fiyFyWRiV3GqkzQ1/b9582b06tULvXr1AgBkZWWhV69emDZtGgDg5MmTOHLkiHr7tm3bYtmyZVi5ciV69OiBl156Ce+8806d25ZEOUhLnB0nIo14/vnnUVpainfffdcn6AYcJ173339/wDW7gwYNQo8ePfxed9ZZZ3l8z0uShDlz5uCcc85BQkICGjVqhOHDh2Pz5s3qbbzXeC9cuBCCIOC3335DVlYWGjVqhOTkZFxzzTXIycnxec7vv/8eF154IZKTk5GamooRI0Zg+/bt1X07dInH7PBQCtdENlejEBk3bhwyMjJgs/n2Dbjssstw1llnqT8LgoCJEyfiww8/RNeuXREfH4/ly5cDAP744w9cfvnlSEtLQ0pKCi655BJs2LDB4/FsNhueeOIJdOzYEQkJCWjYsCEGDhyIlStXqrfxt8Zbed6vvvoK3bp1Q3x8PLp27ao+t7vjx4/j1ltvRWZmpnq7BQsW1Oo9IooETU03DR48uNJ1ygsXLvR7nz/+qNvNxZTvLnZAJSKt+Pbbb9GhQwf0798/qPuPGTMGEyZMwD///INu3bqpl//+++/Ys2cPHn/8cfWy2267DQsXLsTll1+O22+/HXa7Hb/88gs2bNiAvn37Vvo89913H+rXr4/p06fj0KFDmD17NiZOnIjFixert/nggw8wbtw4DBs2DM899xzKysrw5ptvYuDAgfjjjz/Qpk2boF5jrOMxOzyUgETkGm8KkTFjxuD999/HDz/8gH/961/q5dnZ2fjxxx8xffp0j9sr1SgTJ05ERkYG2rRpg+3bt+PCCy9EWloaHn74YZjNZrz11lsYPHgwfvrpJ/W7fsaMGZg5cyZuv/129OvXD0VFRdi8eTO2bt2KSy+9tNJx/vrrr/jiiy9wzz33IDU1Fa+88gquu+46HDlyBA0bNgTg6Atx3nnnqYF6o0aN8P333+O2225DUVERHnjggdC+eUQhpKnAm4LD5mpEpCVFRUU4ceIERo4c6XNdQUEB7Ha7+nNycrLfxlr/+c9/cN9992HRokV49tln1csXLVqE5ORkXHvttQCANWvWYOHChbj//vsxZ84c9Xb/93//V63vxIYNG2LFihUelUOvvPIKCgsLkZ6ejpKSEtx///24/fbb8fbbb6v3GzduHM466yw888wzHpcT1ZaSB2SpOYXKxRdfjBYtWmDRokUegffHH38MSZJ8StJ3796Nv//+G126dFEvu+aaa2Cz2fDrr7+iXbt2AICxY8firLPOwsMPP4yffvoJALBs2TJcccUVQX0v7ty5Ezt27ED79u0BAEOGDEGPHj3w8ccfY+LEiQCAxx57DKIo4u+//1aD8bvuugujR4/GjBkzcOeddwZs1kgUbQy8dYAZbyJ9KSuzYNeuk9EeBgDg7LObIimpZuujlb2WU1JSfK4bPHgw/vzzT/XnF154AQ8++KDP7dLT03H11Vfj448/xsyZMyEIAkRRxOLFizFy5EgkJycDAD7//HMIguCTsQFQrWaTd9xxh8ftLrzwQrz88ss4fPgwunfvjpUrV6KgoACjR49Gbm6uejuj0Yj+/ftjzZo1VT4HUTDYXC2yyips2HUkL9rDAACc3aoBkhLMIXs8g8GAm266Ca+88gqKi4uRmpoKAPjwww9x/vnno23bth63HzRokEfQLYoiVqxYgZEjR6pBNwA0bdoUN954I+bNm4eioiKkpaWhXr162L59O/bu3YuOHTvWaJxDhw5Vg24A6N69O9LS0nDgwAEAjgTT559/juuvvx6yLHt8Jw8bNgyffPIJtm7digsuuKBGz0sUKQy8dUBpTsSEN5E+7Np1Ev36+waS0bBp4xPo3btNje6jnNSVlJT4XPfWW2+huLgYp06dqrLxz9ixY7F48WL88ssvuOiii7Bq1SqcOnUKY8aMUW+zf/9+NGvWDA0aNKjRGBWtWrXy+Ll+/foAgPz8fADA3r17ATgyRv6kpaUF9bxEgail5pxMj6hdR/Jw7oT3oz0MAMDv88aid6fMkD7m2LFj8dxzz+HLL7/E2LFjsXv3bmzZsgVz5871ua13IJ6Tk4OysjKPteCKzp07Q5IkHD16FF27dsWTTz6Jq6++Gp06dUK3bt0wfPhwjBkzBt27d69yjN7fx4DjO1n5Ps7JyUFBQQHefvvtgBn106dPV/k8RNHCwFsHXBlvzo4T6cHZZzfFpo1PRHsYABxjqan09HQ0bdoU//zzj891yjrAQ4cOVfk4w4YNQ2ZmJhYtWoSLLroIixYtQpMmTTB06NAajykQo9Ho93KlTF35Xv3ggw/QpEkTn9uxMy+FmnJMZ6l5ZJ3dqgF+nzc22sMA4BhLqHXp0gV9+vTBokWLMHbsWCxatAhxcXG4/vrrfW5bm1Ltiy66CPv378fSpUuxYsUKvPPOO3j55Zcxd+5c3H777ZXet7rfxzfffDPGjRvn97bVCfCJooVnDDrgWpvI2XEiPUhKiq9xlllrRowYgXfeeQebNm1Cv379gnoMo9GIG2+8EQsXLsRzzz2Hr776ChMmTPA4OWvfvj1++OEH5OXlBZ31roxS9ti4ceOQBvxEgSjVa6xii6ykBHPIs8xaM3bsWGRlZeHkyZP46KOPMGLECLXKpzKNGjVCUlISdu/e7XPdrl27YDAYPHaoaNCgAcaPH4/x48ejpKQEF110EWbMmFFl4F2dcaSmpkIURX4fU0zS1HZiFBw2VyMirXn44YeRlJSEW2+9FadOnfK5vrrfV2PGjEF+fj7uvPNOlJSU+JSnX3fddZBlGU884VshEIrvxGHDhiEtLQ3PPPOM3614/G09RlQbyt8tj+kUaqNHj4YgCJg0aRIOHDhQ7X2+jUYjLrvsMixdutSjWunUqVP46KOPMHDgQHXZzZkzZzzum5KSgg4dOsBisdR6/EajEddddx0+//xzvxVV/D4mrWPGWwfYXI2ItKZjx4746KOPMHr0aJx11lm46aab0KNHD8iyjIMHD+Kjjz6CwWBAixYtKn2cXr16oVu3bvjss8/QuXNn9O7d2+P6IUOGYMyYMXjllVewd+9eDB8+HJIk4ZdffsGQIUPUTrjBSktLw5tvvokxY8agd+/euOGGG9CoUSMcOXIEy5YtwwUXXIDXXnutVs9B5E45kksMvCnEGjVqhOHDh+Ozzz5DvXr1MGLEiGrf9+mnn8bKlSsxcOBA3HPPPTCZTHjrrbdgsVjw/PPPq7fr0qULBg8ejD59+qBBgwbYvHkzlixZUuvvYsWzzz6LNWvWoH///pgwYQK6dOmCvLw8bN26FatWrUJenjYa5BH5w8BbB1hqTkRadPXVV+Pvv//GSy+9hBUrVmDBggUQBAGtW7fGiBEjcNddd6FHjx5VPs7YsWPx8MMPezRVc/fuu++ie/fumD9/Ph566CGkp6ejb9++OP/880PyOm688UY0a9YMzz77LF544QVYLBY0b94cF154IcaPHx+S5yBSuDLeUR4I6dLYsWPx7bff4vrrr0d8fPV3rOjatSt++eUXTJkyBTNnzoQkSejfvz8WLVqk9u4AgPvvvx9ff/01VqxYAYvFgtatW+Ppp5/GQw89FJLxZ2ZmYtOmTXjyySfxxRdf4I033kDDhg3RtWtXPPfccyF5DqJwEeQ6XstUVFSE9PR0FBYWxmx32ksvew5r1uzAieOvonHj2HwNRHVNRUUFDh48iLZt2yIhISHaw9G0OXPmYPLkyTh06JDfrrdaVtXvWQ/HoEiqC+/X4Ps+xi9/HcOWd8aiZ0d9rzmONH7vAkuXLsXIkSPx888/48ILL4z2cCKKv3+qrdoeg7jGm4iINEuWZcyfPx+DBg2KuaCbKBhqB+c6nRahcJk3bx7atWuHgQMHRnsoRHUOS811oI4XLRCRDpWWluLrr7/GmjVr8Pfff2Pp0qXRHhJRRChHdB7bKZQ++eQT/PXXX1i2bBnmzJmjLlMkoshh4K0jPEgTkV7k5OTgxhtvRL169fDf//4XV111VbSHRBQRrj2LeUyn0Bk9ejRSUlJw22234Z577on2cIjqJAbeRESkOW3atOFkItVJ6j7e0R0G6Qy/T4mij2u8dYRfqkRERLGNGW8iIn1i4E1ERESkMZxMJ4pth7MLsXrL4WgPgzSEpeZERFHEk2t94++Xakr5i5H4txM2/FzWTZH+vQ+Z9AkOZxdB/Ck0e5hT7GPGW0d4HCGKHSaTY97TbrdHeSQUTsrvV/l9E1VFXePNY3rI8Xu3bov09/Hh7KKIPA/FDgbeRERRYDQaYTQaUVTEA7OeFRUVqb9roupw7ePNyDvU+L1bt0Xr+5gVFqTgFLyO8INNFDsEQUDjxo1x8uRJxMfHIzk5mfuq6ogsyygtLUVRURGaNm3K3y1VGzPe4cPv3bop2t/HVpuI+DiGXMTAm4goatLT01FeXo7c3Fzk5OREezgUYoIgoF69ekhPT4/2UCiGyGBX83Di927dFM3vY7soIT7iz0paxMCbiChKBEFA06ZN0bhxY9hstmgPh0LMbDazxJxqzLWPNwPvcOD3bt0Uze9ju8jPMjkw8NYRlpoTxSauASYiBffxjgx+71K4CYJjIs0uStEeCmkEm6vpAANuIiIifeAabyJ9UNaSM/AmBQNvHeFBmoiIKLYpJeYsNSeKbQYG3uSFgTcRERGRRiiT6BLP1YlimsHAwJs8MfAmIiIi0hguIyOKbcx4kzcG3jrCgzQREVFsU5ur8ZhOFNOU7cLZ1ZwUDLyJiIiINIZxN1FsU0rNbXYxyiMhrWDgrSM8SBMREekDM95Esc2Z8GapOakYeBMRERFpDJePEcU213Zi/CyTAwNvIiIiIo2RJJ6sE8UydjUnbwy8dYSz40RERPrAIzpRbFO6mtvsDLzJgYG3DjDeJiIi0gfXPt48uBPFMqWrOfs1kIKBt44w401ERKQPPKQT6YMoMeNNDgy8iYiIiDSGWTIifRDZXI2cGHgTERERaQyr2Ihim9LVXOSyEXJi4K0jPEYTERHFNuVQzjXeRPrA6hVSMPAmIiIi0hieqhPpg8jtxMiJgbeOsCyNiIhIH3hMJ9IHlpqTgoG3DvDgTEREpA/KMZ2l5kT6wK7mpGDgTURERKQxDLuJ9IFxNykYeOsIM99ERET6wIw3kT4w400KBt5EREREGsO5dCJ94BpvUjDw1hEepImIiPSBWxAR6QOrV0jBwJuIiIhII5R4m8vHiGKb4PwvM96kYOBNREREpBFKppsZbyJ94BpvUmgu8H799dfRpk0bJCQkoH///ti0aVOlt589ezbOOussJCYmomXLlpg8eTIqKioiNFpt4ew4ERFRbFPKUlmeShTblMkzUeRnmRw0FXgvXrwYWVlZmD59OrZu3YoePXpg2LBhOH36tN/bf/TRR3j00Ucxffp07Ny5E/Pnz8fixYvx3//+N8Ijjy4G3EREFA2cLA89NdPNQztRTFMn0XieTk6aCrxnzZqFCRMmYPz48ejSpQvmzp2LpKQkLFiwwO/t161bhwsuuAA33ngj2rRpg8suuwyjR4+u8sCvV/xcExFRpHCyPDyUyXSZkTdRTBPV6hWWmpODZgJvq9WKLVu2YOjQoeplBoMBQ4cOxfr16/3e5/zzz8eWLVvUQPvAgQP47rvvcMUVVwR8HovFgqKiIo9/REREVDOcLA8P5Ryd5+pEsU0JvFlqTgrNBN65ubkQRRGZmZkel2dmZiI7O9vvfW688UY8+eSTGDhwIMxmM9q3b4/BgwdXOns+c+ZMpKenq/9atmwZ0tdBRESkd5wsDx82VyPSB5aakzfNBN7BWLt2LZ555hm88cYb2Lp1K7744gssW7YMTz31VMD7TJkyBYWFheq/o0ePRnDE4cW13kREFAmcLA8ftdScx3SimKZ0M+d2YqTQTOCdkZEBo9GIU6dOeVx+6tQpNGnSxO99pk6dijFjxuD222/HOeecg2uuuQbPPPMMZs6cGXA9RXx8PNLS0jz+ERERUXhxsrx61Iw3T9aJYpqrqznXjZCDKdoDUMTFxaFPnz5YvXo1Ro4cCcDRjGD16tWYOHGi3/uUlZXBYPCcOzAajQDq5kxxXXzNREQUebWdLAeAc845B6Wlpbjjjjvw2GOP+RzPAcdkeXx8fOhfgIaxPJVIH5S13cx4k0IzGW8AyMrKwrx58/Dee+9h586duPvuu1FaWorx48cDAMaOHYspU6aot7/yyivx5ptv4pNPPsHBgwexcuVKTJ06FVdeeaUagBMREVFouU+WK5TJ8gEDBvi9DyfLq0fdTYxvCVHMcv9O4yQaKTST8QaAUaNGIScnB9OmTUN2djZ69uyJ5cuXq2vIjhw54nHQfvzxxyEIAh5//HEcP34cjRo1wpVXXon//e9/0XoJREREdUJWVhbGjRuHvn37ol+/fpg9e7bPZHnz5s0xc+ZMAI7J8lmzZqFXr17o378/9u3bx8lyP9hcjSj2uXcyZ1dzUmgq8AaAiRMnBiwtX7t2rcfPJpMJ06dPx/Tp0yMwMu3jMZqIiCKFk+XhoZSa85hOFLvcJ85E7g1ITpoLvImIiCg2cLI89JTTdTZXI4pd7sE213iTQlNrvKl2uEaOiIgotrG5GlHsc5844yQaKRh46wCPzURERPogcR9vopjnnuVmxpsUDLyJiIiINIIZb6LY5xl4c403OTDw1hHOjhMREcU2WWZzNaJYx1Jz8oeBNxEREZFGKOfoPFknil1srkb+MPDWEc6OExERxTaWmhPFPolrvMkPBt5EREREGiGDpeZEsc5jjbfINd7kwMCbiIiISCOY8SaKfe6fX36WScHAW0fYXI2IiCi2KSfpsbLGe+Xvh7Dz0JloD4NIU0SRpebkyxTtARARERGRgzKHHiuT6cMf/AwAIP70UJRHQqQd7llu9yCc6jZmvHXAtfUIP9hERESxjKXmRLGP+3iTPwy8iYiIiDTAfQKdcTdR7FIaqhkMAifRSMXAm4iIiEgD3Nd182Rdv2x2ERu2n4j2MCiMlM+v2WRgqTmpGHjrCI/RREREscv9OB4rzdWo5j7/aQ8uuOdDNqXTMSXYNhsNbK5GKgbeRERERBogsdS8TtiyOxsAcKaoPMojoXBRPstxZiOrV0jFwFtH2FyNiIgodtlFVxMmnqzrl5IBNRqEKI+EwkX5HTtKzdlcjRwYeOsAA24iIqLY516SylJz/VLKkO1c+6tbyufXbDSy1JxUQe/jvWfPHmzfvh2nT5+GIAho1KgRunXrho4dO4ZyfERERFRLPGbHBvfMGCfV9UvZXqrCao/ySChclN9xnJlrvMmlRoH3zp07MXfuXCxZsgTZ2Y71KcqBQRAc5TKZmZm4/vrrceedd6Jz584hHi5VhsdoIiJS8Jgde1hqXjconz+LTYzySChc1Iy3ycjqFVJVK/Dev38/HnnkEXz55ZdITEzEhRdeiDvvvBPt27dHw4YNIcsy8vLysG/fPmzYsAHvvPMOXn31VVx77bV47rnn0K5du3C/DiIiIgKP2bHMPTPGuFu/lJXddq791S11jbfRoGa/iaoVeHfp0gXnnHMOFi5ciGuvvRbJycmV3r60tBRLlizBnDlz0KVLF1RUVIRksFQ5lqURERGP2bFL5D7edQoDMv1y38ebGW9SVCvw/uyzz3DVVVdV+0GTk5Mxbtw4jBs3DkuXLg16cERERFQzPGbHLvdAjCfr+ieyuZpuKb/bODNLzcmlWl3Na3IA93b11VcHfV8iIiKqGR6zY5fdo7laFAdCEcFSc/1SJtEcpeb8MJMDtxPTEZaaExERxS73DGgslJozk1c7DMj0y1VqbuSSAlIx8CYiIiLSACUQE4TYCGoZUARH6WrOjLd+KZNoZm4nRm5CHnjv3r0bRqMRJlPQW4RTkGJgcpyIiDSEx2xtUQIxs8kIGdo/qDNwrB0GZPqlZryNXONNLiE/0prNZrRs2VKdzaPwY8BNRETB4DFbW9R1oSYDYiGZzOZgwVF+z6wY0C91OzETM97kEvLAu127djh06FCoH5aIiIhCjMdsbVECWZPREBN9WxhQBEd530RWDOiW5BF48/dMDlzjrSOxcJAmIiIi/8qtdgBAcoI5JpqrsdQ8OMoECysG9EsJtuNMRv6eScXAm4iIiEgDyipsAJyBdwxkk5nJC47yvnHiQr+Uj4bZZIiJSTSKjKBKzW+99dYqbyMIAubPnx/MwxMREVGI8JgdO8osjox3SqI5BlqrsdQ8WGqpOd8/3XLv18DfMymCCrwXLlxY5W14EI88lpoTEZE3HrNjR6xlvJmxDY6ruZr2f8cUHFdzNSPX8pMqqFJzSZJ8/tlsNuzevRsTJkzAeeedh/z8/FCPlYiIiGqIx+zYUVbhyHgnJcbGGm+uXQ2O8r5x4kK/lImzOJaak5uQrfE2Go3o2LEj3nrrLTRs2BCPPPJIqB6aqomfayIiqg4es7WpwmqD2WSA2WiMiWM613gHx1VqzvdPrzwy3qxsIKewNFcbPnw4Pv/883A8NBEREYUQj9naIYoyTEYDBAExUmqu/TFqkau5Gt8/vfLYToy/Z3IKS+Cdl5eHkpKScDw0ERERhRCP2dohyTIMBgEGgwA5BtqrMWMbHO7jrX+ezdX4eyaHoJqrBVJQUIBVq1bh5ZdfRp8+fUL50FQNbK5GRETVxWO29kiSDIMgwCAIMZHxZiYvOOo+3jHwO6bgKJNoRgPXeJNLUIG3wWCAIAh+r5NlGQ0aNMCsWbNqNTAiIiKqPR6zY4ckyxAEOErNY+Bknc3BgsN9vPVPEl2TaJygIkVQgffYsWN9DuKCIKBBgwbo1KkTRo8ejdTU1JAMkKqmZLpj4BhNRDHg1VdX4J35a/HntmeiPRQKAR6zY4csQz1Zj4VjOjO2wVECbgbe+iXJMoxGAUajwM8JqcK2jzcREcWmyVkfRnsIFEI8ZscOpTxViJVSc65dDYoksdRc70TnshGjQeDnhFRhaa5GRERERDWjrvE2CEAMNFdzz9iyz0z1sbma/kmSDKOyxpsTLOTEwFtHeNAjIiKKXWpXc0FALCTJ3DO2XMdafUrAzYy3fomSpO5QwN8zKUIeeB84cADt2rVD+/btQ/3QREREFEI8ZmuLJMVWczX3YJvltNUnstRc90RJhtFgcJaa8/dMDiHdTgwAbDYbDh06FLCDKoWecmxmxpuIiGqCx2xt8Wyupv1junupeSxMFESSktU2Gn1zXK7Am5MVeiVJsprxZqk5KUKe8T7rrLMgSRJEUQz1QxMREVEI8ZitLWqpeYycrLPUPLBet72HiyZ+5Pc6JeDme6ZfonONt8EgcFKKVJpb4/3666+jTZs2SEhIQP/+/bFp06ZKb19QUIB7770XTZs2RXx8PDp16oTvvvsuQqMlIiIiCg2luVrMlJq7ZWxZTutp+8FcbNhx0u91SsDN90y/lOZqAmJjEo0iI+Sl5rWxePFiZGVlYe7cuejfvz9mz56NYcOGYffu3WjcuLHP7a1WKy699FI0btwYS5YsQfPmzXH48GHUq1cv8oPXgBg4RhMREVEA7s3VYuGY7l5qzrLp6lMz3nzPdMu9uRrgWA7KJT1Uq8B78+bN2LhxI/Lz8yF5fXkIgoCpU6fW6PFmzZqFCRMmYPz48QCAuXPnYtmyZViwYAEeffRRn9svWLAAeXl5WLduHcxmMwCgTZs2wb0YIiIiHQv1MRtwVKm98MILyM7ORo8ePfDqq6+iX79+AW9fUFCAxx57DF988QXy8vLQunVrzJ49G1dccUWNn1uPZBkQ4NzHOwYib/eMLbN61cfmavonyYDRYIBBUAJvR9NEqtuCCrzLy8tx7bXXYsWKFeoMjtIERPn/mh7ErVYrtmzZgilTpqiXGQwGDB06FOvXr/d7n6+//hoDBgzAvffei6VLl6JRo0a48cYb8cgjj8BoNPq9j8VigcViUX8uKiqq9hi1To6BPT+JiCiywnHMBlilFg6OjDdiJuPt2dU8BgasEdzHW/9EUXI0SnRmvJVma1S3BbXG+8knn8SKFSvw2GOPYc2aNZBlGe+99x6+//57XHjhhTj33HOxY8eOGj1mbm4uRFFEZmamx+WZmZnIzs72e58DBw5gyZIlEEUR3333HaZOnYqXXnoJTz/9dMDnmTlzJtLT09V/LVu2rNE4iYiIYkk4jtmAZ5Valy5dMHfuXCQlJWHBggV+b69UqX311Ve44IIL0KZNGwwaNAg9evSo7UvUDWWNt8EQGxlkz1Jz7Y9XK7iPt/5JsgyjUYASa8dCBQuFX1CB95IlS/Cf//wHTz75JLp16wYAaN68OYYNG4ZVq1bBarVi4cKFoRynX5IkoXHjxnj77bfRp08fjBo1Co899hjmzp0b8D5TpkxBYWGh+u/o0aNhHycREVG0hOOYrVSpDR06VL2sJlVqmZmZ6NatG5555plKO6pbLBYUFRV5/NMzZY137JSac413MJSA286Mt26J6iSaK+NNFFTgffToUQwaNAgA1JJuq9UKADCZTBg9ejQ++eSTGj1mRkYGjEYjTp065XH5qVOn0KRJE7/3adq0KTp16uRRVt65c2dkZ2er4/EWHx+PtLQ0j396EQt7fhIRUWSF45jNKrXwkCRH2X+s7OPNNd7B4Rpv/RNFybGdmHNhdyxMpFH4BRV4p6amwm63q/9vMBhw4sQJ9fr09PSAB95A4uLi0KdPH6xevVq9TJIkrF69GgMGDPB7nwsuuAD79u3zaBKzZ88eNG3aFHFxcTV6fiIiIj0KxzE7GKxSq5osu7JksXCizlJz/6qahFCqA7ybHJJ+SDI8uppzYoqAIAPv9u3bY8+ePQAcs+ddu3bFkiVLADgOGl988UVQs9JZWVmYN28e3nvvPezcuRN33303SktL1S7nY8eO9Wi+dvfddyMvLw+TJk3Cnj17sGzZMjzzzDO49957g3lZMUuZFY+BYzQREUVYOI7ZrFILD+VkXUBsnKizuZp/Nrtr+YS/ygV1H2+R75leMeNN/gQVeA8dOhSff/65ui7rzjvvxPLly9G+fXt07NgRq1atwm233Vbjxx01ahRefPFFTJs2DT179sS2bduwfPlytZTtyJEjOHnypHr7li1b4ocffsDvv/+O7t274/7778ekSZP8bj1GRERUF4XjmM0qtfBwNFdzBN+xcJ7u3pWbHbpdrHbXe2Gz+74vdjZX0z1Jlh3biWk04z1/2V94+M210R5GnRPUdmKPPvooxowZo87i3XPPPaioqMCiRYtgNBoxYcIEPPzww0ENaOLEiZg4caLf69auXetz2YABA7Bhw4agnouIiEjvwnXMzsrKwrhx49C3b1/069cPs2fP9qlSa968OWbOnAnAUaX22muvYdKkSbjvvvuwd+9ePPPMM7j//vtD92JjXOw1V3Nb4x0D440Ui9Wu/r/VJiLO7LnFrWuNNycr9Ep0bh+mBt4a+3zc8fwPAIDn7x4c3YHUMUEF3ikpKTjrrLM8LsvKykJWVlZIBkXBiYVGLEREFFnhOmaPGjUKOTk5mDZtGrKzs9GzZ0+fKjWDwVVYp1SpTZ48Gd27d0fz5s0xadIkPPLII7Uah55IkgwBji2IYuGQ7tHVnGXTKveMt7/O5cr7xoy3fkmS7Flqzt81IcjAm4iIiIhVaqEly64smdYyZP64l1Eze+titbnWeNv8Bt5c4613Ws94KyTnOCkyqrXG230NV02tWrUq6PtSzWj0M01ERBHEY3bskpSu5oIQE2umtdzVvLDEguUbD0blua1uzdX8ZrxFlprrXaxkvCvclkVQ+FUr8B4+fDguvvhifPvtt2pzlsrYbDZ8+eWXGDRoEK644opaD5KIiIiqh8fs2CVJjsZqJqNBc4GsP+4Zb60FFg+9sRYjHl6C4jL/HfPDyT3Y9tdcTZQkGI1CTPyOKTiiJKlbAwKOHQu0qNzCwDuSqlVq/scffyArKwtXXXUVGjVqhKFDh6Jfv35o3749GjRoAFmWkZeXh71792LDhg1YvXo1CgoKcNlll2Hbtm1hfglERBQOsixDEFiCFmt4zI5djow3YDIa/GZKtUbLGe9dR84AAM4UliM1KbJd893fF/9rvGXEm42ae88odCRZhtFo0HzGu8xiQ0MkRnsYdUa1Au9u3bphxYoVWL9+Pd544w0sXboUH3/8sc8JmSzLSEtLw7XXXou7774b5557blgGTf6xuRoRhRID79jEY3bsUj5zJqPBb6ZUa2yidtd4KwFvYaklCs/tOh/z/j3KsgxJkhFnNsbEcgIKjig6l404a4u1usa7rIIZ70iqUXO1AQMGYMCAARBFEVu2bMGOHTuQk5MDQRDQqFEjdOvWDb169fLoYkpERLFJo+cJVE08ZsceZTsxsyn2Mt4ai7vVddTRWMNaWcZbyXzGmYwx8Tum4KjN1ZwTnlpNjrk3AqTwC6qrudFoRL9+/dCvX79Qj4eCoHyYtfqhJqLYxO8UfeAxO3ZIkiNLFiul5ja7hPg4IyxWUXMZb6PREfBUWCMfWHiu8fZ8fqW8PM4cG+v4KTiSHBtdzf113afw4TQ3ERH5xcCbKLKUk3WT0RATJ8R2UUK82QhAe2u8jQYl8I52xtvzfVEmKOJMXOOtZ6IoxURXc++JIQovBt5EREREGiBJgEGInVJzm11EQpyjeFJzGW/nEgpLFEppRY813qLf6xzN1bT1nlHoSLLjb1DpraHRuDsmeknoCQNvHWFyiohCid8pRJHlaK4GGGOp1NyZ8dZaDKlmvKOwXVLlGW+l1NzoEaCTvoiS5LHGW7sZb419cHWOgTcREfnFUnOiyJKcXc3NJgNEUdb8Z9Cz1FxbJ/CuNd7RDrw93xeWmtcNkiQ7Ss0Nrp+1yCay1DySGHjriNYP0EQUW/idQhRZkuRa4w343wNaSxzN1ZRSc619XzgC72iUmns0VxMra66m7d8vBc+7q7mWmqu5H9uZ8Y4sBt5EROSXhs4TiOoESXZ1NQe0H3jbRQkJcc6Mt8bGqownGtslVVpqLjLjXRe4Mt7aKzV3D7YZeEdWUIH3008/jZMnT4Z6LBQs7XyWiUhHmPHWBx6zY4csA4IAmNXAW9ufQZtbqbmWMnqAK/iNxuSFvbLmas4AzGw2am6ygkJH2RpQixlv9yoQ7uMdWUEF3tOmTUOrVq1w5ZVX4quvvoLI9QGawJNkIgolfqXoA4/ZsUPdTszkOD3T+lY/jjXezlJzjU0SKNuxBcroHT1dhH3H8sPy3JWt8bYz410nSLIMo1GbGW/3YDsWti3Uk6AC740bN+K2227DL7/8guuuuw4tWrTAo48+ij179oR6fEREFCWczNMHHrNjh5Ili5VSc5tdQpxG9/G2VxF4dxu7AGfd9E5Yntt97bb383uu8dbWe0ahI4pSTGS8WWoeWUEF3ueeey7mzp2LkydP4t1330WnTp3w/PPPo3PnzrjooovwwQcfoLy8PNRjpSpo6DNNRDrAwFsfeMyOHUrGO1ZKzUX3Nd4aaxSmBBSBJi9Kym1he27335tvV3NlH2+T5t4zCh1RkmE0GDSZ8bbYXJ3+tV5Voze1aq6WmJiIsWPH4qeffsLu3bvx8MMPY//+/bjlllvQtGlT3HPPPdi2bVuIhkpERJHEuFtfeMzWPu+Mt9ZPit27mmspsABcgXc0Smk9upp7Z7yVUnNzbGwZR8FRS801mPG22tyWQjDjHVEh62retm1b9OnTB507d4YsyygpKcG8efPQp08fjBgxgo1diIhiDE8I9YvHbG1SmqvFSqm55z7e2vq+cJWaR6eruZLpDJTxjjM5m9Jp7H2j0BBFZ3M1rWe8Nf4doze1Dry3b9+OrKwsNGvWDKNGjcKuXbvw+OOP48CBAzh69Cgee+wxrFmzBrfeemsoxkuV4EkyEYUSv1P0h8dsbVO2EzObYqPU3GbXbuBdVam5Ihzfc6IowWwywGwy+GQUlfJyra6Np9CQZOd2YhrPeGu9qkZvTMHcqaSkBB9//DHmz5+P33//HQaDAcOHD8cdd9yBESNGwGBwxfNPPvkkUlJS8MQTT4Rs0ERERFQ9PGbHDklydjWPkVJzuzPAFATtrfGuqrmawr1BXCif22Q0QBJk34y3qGS8Hb9jx/sW2uen6BMlR9WDkvHWUNztkfF2D8Ip/IIKvDMzM1FRUYEWLVpg2rRpuO2229CiRYuAt2/dujUbt0QAs1NEFEr8StEHHrNjhyzHWFdzUYLZZITRYNBUKS0A2Jzb5lX1HlZY7WELvGWD7FPKqzZXi9PmNmwUGpJ3czUNHVDdg22tTZjpXVCB96WXXooJEybg8ssv95gpD2TUqFEYNWpUME9FRERRwsk8feAxO3bIMhxdzWOk1NwRYDqyeloLvJX3rqqMd4XVjrTk+JA+t6OjtQBA8LPGW9nH26DelvRHdFavOONuTX0+3LcT499fZAW1xjsrKwv9+vULeADPzc3Fzz//XKuBUfXx5JiIwoFfLfrAY3bskGTZo7ma1kvNbXbRmfEWNHcCr7x3/gJv9yCowhr691jJeJtNhkr28dbmNmwUGpJz8kWLGW+l1Dwpway5z63eBRV4DxkyBCtXrgx4/erVqzFkyJCgB0XB0dBnmoh0gJN6+sBjduxQthMzOk/WtX5SbBdlmIwGR+CtsbL4ypqrlVtce3hXWO0+19eWEnibjIZK1nizuZqeuTLe2utqrpSaJ8WbNL+cRW+CKjWv6mRMFMVqlbMREZF2MfDWBx6zY4ckO07WjcbYKEO22UWYjY51rFrK6AFuzdX8BBZlFlewHZ7A2zEhYRAqKTVXMt4MfHRJlCTNZ7wT4038+4uwoAJvABCcMzj+rFu3DhkZGcE+NAWJJ8lEFEr8StEPHrNjg2/GW9snxa6Mt0FTkwSyLFea8ba6rXENX6m5I9sZqNTczDXeuiZJcOzjrWa8ozwgN2rGO8HMjHeEVTvwnjNnDubMmaP+/MADD+Cxxx7zuV1+fj6Kioq4BygRUYzjZF7s4jE7NsmyDME98NZ4czXHGm+l1Fw7Y3Uv6/W3xttqdw+8w1dqbjT4KTXnPt51gihJMBq12dXcYrM7ehAYtTVhVhdUO/CuV68eWrduDQA4dOgQGjZsiMzMTI/bCIKAbt264bzzzsPkyZNDO1IiIoooBt6xi8fs2CTJcGa8YyMbqgaYRm2VmrsH2/4a1Llvp1RV1/NguAJvPxlvnzXezDjqkSQ7mqsptUZaWuNts0uIjzP67UFA4VXtwHvcuHEYN24cAKBt27Z49tlncdVVV4VtYFRzGjrmEZEO8DsldvGYHZskSYbBABiNsVFq7tjH239mN5rcx+JvXO7BeFgCb3slzdW8upprfcs4Co4oOpaNaDLjbbUjzmSE0ai93Qj0Lqg13gcPHgz1OIiISGOY8dYHHrNjhyTHVldzm91RTms2aSvwVhqqxccZYfdbai65/X/o13gr+3ibjP62E/Pax1tD7xuFjiTLMBq12dXcYhMRbzY6ejNw4iei2MZUR3iSTEREFLtkpau5QftBmSTJkCQZZpPBb4AZTUpGOzHO/3ZJ7s3VwrFXuvs+3t7Pr/zMNd76JkrazXhb7RLizEaYjL5d9ym8qpXxbtu2LQwGA3bt2gWz2Yx27dpVeR9BELB///5aD5CIiKKDk3mxicfs2CV5N1fTcFCmnLArTZq0dAKvlG8nxpv8bidmDXepuds+3jbRM7BXMozxZq7x1jPJWfWgyYy31e7KePPvL6KqFXi3bt0agiCo25G0atWq0q1JKLJ4ckxE4cCvltjEY3bsUrcTi4F9vJVA22zUbsY7KcHsv6u5W8bb/f9DxT3w9l7D7b3Gm6W++iRKEgzu+3hr6LPsynj7/n1SeFUr8F67dm2lP5NG8CyZiEKIk3qxicfs2CXJcJysO+dJtFxqrgS0gUqqo0kZS2KcyX9Xc/eu52EYt7K/uf/mas715yw11zVHxtvgynhr6HiqZLwNBoEZ7wjjGm8dUDIZGvpME5EO8DuFKLIcGW/ExHZiasZbk2u8HWNJiDP5fQ8jkfE2GoXKu5pzOzFdEyVZ0xnveDO7mkdDUF3NRVGExWJBUlKSellBQQHmz5+PvLw83HDDDTjnnHNCNkgiIoo8Zrz1gcfs2KE2VzNqf423kkkOlNmNJrtbV/PicqvP9e7Btr+u56F4fsf7Ivhk1NV9vJnx1jXRa423ln7LFpvdrdRcO5/buiCowPvOO+/Ehg0b8M8//wAAbDYbBg4ciB07dgAAZs2ahfXr16Nnz54hGyhVjSfJRBRK/E7RBx6zY4eruZqS8dbuSbESMGqx1NyV8Tb6LddXmqvFmY1h3E7MMSFRbrV7Xecq0Qe4xluvJC1nvG2ONd7cTizygio1//XXX3HVVVepPy9ZsgQ7duzA66+/jnXr1iEzMxPPPvtsyAZJ1cOTZCIKJX6l6AOP2bFD8tqCSMsnxUrgbVD2q9ZS4K1mvE1+m0cpgXlygOZrteXIeDveF+/AX5Qc+zu7Otdr532j0FGbq2lxjbdNRJyJ24lFQ1AZ75MnT6Jt27bqz8uWLUPXrl1x9913AwDuuOMOvPXWW6EZIRERRQUn8/SBx+zYITlLzQE4119q96RYGZvRIMCksYy3MhbHGm//GW+jUUBCnDFsgXdSvMlv12hJkmA0GGJiOQEFR5ZlyLKjV4MWM94Wmx0piXEwCNr+jtGjoDLesixDdNuXcO3atRgyZIj6c9OmTXH69Onaj45qhOfIRBRKDLz1gcfs2CHLUDNkRoNBUyfr3pRsvFJSrcXmaolxJr8TAjabhDiTEWZTmErNPbYT813jbTTExnICCo7yuTUIApSdHLWU8Vb+/o0GQdNVNXoUVODdtm1b/PDDDwCA3377DSdPnvQ4iJ84cQLp6emhGSEREUWFhs4TqBZ4zI4dHhlvg7Y7DitjMxoFmDXWpMkz4+2nq7ldhNlkQJwpPBMG9soCb0kJvAXnbbX7O6bgKEG20ShAcAbfWppEs9gc24mZjAZO/ERYUKXm48ePR1ZWFrp164bjx4+jcePGGDZsmHr9xo0bcfbZZ4dskFQ9zE4RUSjxO0UfeMyOHZIkw5kgc2ajtHtS7FFqbjSgtMIW5RG5uDdX8zchYHWucQ1Xxtu9q7m/fbyNRoNrjbeGf8cUHCWLrFSvGAyCpjLeVpuE+DgjZKus6ck9PQoq4z1p0iQ88cQTiI+PR69evfDll1+q25ScOXMGGzZswBVXXBHSgVLVNPSZJiIijeAxO3Z4rvE2aPqk2LvUXEslq8pWZwnxgTPecWYjzGHLeMtVZ7yN2t+rnYKjZrydn2WDIGgu4+1orqatSpW6IKiMtyAImDp1KqZOnepzXcOGDblWjIhIBziZpw88ZscOpas5EAul5q6Mt9a2E/MoNfeb8XascY0zGT329A4VUXJ2NTf5NldzrPE2sKu5jrl3/Ff+q6UKMqvdkfG22OyamjCrC4LKeIfb66+/jjZt2iAhIQH9+/fHpk2bqnW/Tz75BIIgYOTIkeEdoEZp6UNNRLGP3ylEkSXLbifrgrZO1r0pcwJGo9JcLfQBbLCULHa82eh3DbUj4131/uPFZdagnt8uSur74rfU3L25GgMf3VEme5TfsSPjHc0RebJYRWdzNW1NmNUFQWW8AaC0tBQfffQR9u7dizNnzvgcHARBwPz582v8uIsXL0ZWVhbmzp2L/v37Y/bs2Rg2bBh2796Nxo0bB7zfoUOH8OCDD+LCCy+s8XPGOsE5O67lAzQRxR5+p+hHuI7ZFFqSLKtdkLW2LtSbElwYBDgDWO2M1ZXxNvrfTkzdxzhwqfmvfx3DoPs+xu/zxqJ3p8waPn8VpeZGASZuJ6ZbyufWGXdr7rPM5mrRE1TgvWnTJvzrX/9Cbm5uwNsEexCfNWsWJkyYgPHjxwMA5s6di2XLlmHBggV49NFH/d5HFEXcdNNNeOKJJ/DLL7+goKCgxs9LRESewbaGzhOoFsJ5zKbQci8111onZG9qV3NlOzFRQxlvZ7CbGO9/OzGrzbHGu7I1rn/uO63+t+aBt7PU3M/j20XnPt7cTky33D8bgPbWeFvtEuLMRhiN2l7OokdBlZpnZWXBarXi008/RW5uLiRJ8vknBvEFbLVasWXLFgwdOtQ1QIMBQ4cOxfr16wPe78knn0Tjxo1x2223VfkcFosFRUVFHv/0gifJRFRbnoE3v1T0IFzHbIBLw0LNvbmao9Q8ygOqhLrG2yjAbPJf0h0tSrAbZzZBln0nMGyihDiTwbkG23/gW26xAwDyisqDev7AXc1lmIwCjMx465akBt7a7GpusToy3kaD798nhVdQgfeWLVvwf//3f/j3v/+NBg0ahGwwubm5EEURmZmeM4uZmZnIzs72e59ff/0V8+fPx7x586r1HDNnzkR6err6r2XLlrUet1bwJJmIasv9a4TfKfoQrmO2sjRs+vTp2Lp1K3r06IFhw4ZV2aytLi8Nq4osa3cLIm+eGW9Bc2u8jc6MM+CbVXbPeNsCBB5nnAF3bmFtAm8/pebeGW8NTVhQaHg3VxOgreoVR8bbuRuBhsZVFwQVeKelpaFhw4ahHkuNFRcXY8yYMZg3bx4yMjKqdZ8pU6agsLBQ/Xf06NEwj5KIKHZIbieoGj7npxoI1zHbfWlYly5dMHfuXCQlJWHBggUB7+O+NKxdu3YhH1Osc894C9BWeao313ZiSsZbO5kzu12C2Wh0raP2Cm6tdglmk7HS5mr5xRUAgNLymu9P7hl4e3U1d24nZmBXc92SvEvNNTSJJsuyc+LJxOZqURBU4H3ttdfihx9+CPVYkJGRAaPRiFOnTnlcfurUKTRp0sTn9vv378ehQ4dw5ZVXwmQywWQy4f3338fXX38Nk8mE/fv3+9wnPj4eaWlpHv/0gtkpIqotZrz1JxzH7EgsDQP0vTzMH0mS4eyt5tiCKKqjqZx7qbm/ADOalDXWgdZRe2S8AzRXszi3GSsJIvAWq2yu5hgX19jqk/L3pjZX09Aab/eO/yajwIqLCAsq8H7uuedw+vRp3Hfffdi/f3/ITs7i4uLQp08frF69Wr1MkiSsXr0aAwYM8Ln92Wefjb///hvbtm1T/1111VUYMmQItm3bpqsy8urgOTIR1RbXeOtPOI7ZkVgaBuh7eZg/3mu8tXKy7o+2S81FmJ1dywH4TApY7aJjjbfR4Hefb8Cx1zcAlJTXfEsx94y3d2DvKDVX9mo3eFQZkT4o2W33jLdWDqfKhFKcmduJRUNQXc3r1asHQRCwadMmvPHGG35vIwgC7HZ7jR87KysL48aNQ9++fdGvXz/Mnj0bpaWlapfzsWPHonnz5pg5cyYSEhLQrVs3n7EB8LmciIiq5n6ir5UTBaqdcB6zqyuYpWGAY3lYVlaW+nNRUZGug2+fruYa/hAq3xUGQYDZqLXmajLMJoNbAzPfjHdSvBnmSrqaW+3BZ7ztzuA6UHM1V+AtaOp9o9BQsshqvwZBO6XmFqvjez6eXc2jIqjAe+zYsere0aE2atQo5OTkYNq0acjOzkbPnj2xfPlydVb9yJEjMBiCStTrl/NXwewUEdUWM976E45jdm2WhimUTJ/JZMLu3bvRvn17n/vFx8cjPj4+pGPXMll2NWRyZMm0+xlUM97OPak1lfEWRZiMBjXA9Q5+bW7NpQKVmiuX1ybjbfRbai6pmVCjQQiYcafYpWa8jW6NEjUS4FrtSsd/7uMdDUEF3gsXLgzxMDxNnDgREydO9Hvd2rVrK71vuMemZVo+QBNRbPBc4x29cVDohOO46L40TNkSTFka5u/4rSwNc/f444+juLgYc+bM0XUWuyYkWfbMkmnkZN0fdY23FpurOTPerq7mXtuJ2UXEmSrfx9vqLMlVthWr6fMrpeaSJDsqGQyu7cOUgMzIrtK6pOmMt80t483txCIuqMCbiIj0iRlvqi4uDQs9SZLVKjatl5p7rvEOvC1XNNjsSsZbWePtXWouOUrRDZVlvB2Bt7Imtibsou92ZgaD0fH/omepOQNv/XGflAI0lvF29i5QJp749xdZQddsi6KI999/HzfffDMuvfRS/PHHHwCA/Px8vP/++zh+/HjIBknVo+HjMxHFCM813vxS0YtwHLNHjRqFF198EdOmTUPPnj2xbds2n6VhJ0+eDOnr0Dvv5mpa/gi6bydmqmRbrmiw2SWYjYaA24nZxOpnvCuswWS8Xc3VlJ8VnqXmLPXVI1epubO5mhYz3nFsrhYNQWW8y8rKcNlll2HdunVITk5GWVkZ8vPzATj2C3300Udx66234umnnw7pYImIKLw8M95RHAiFTDiP2VwaFlruzdW0tPevP67txJTu4DJkWQ5bD6CaUNdYB9xOzJHxFoTApbbKWliLtWYZb2Xy0jPwdv0evZurcTsn/fEpNTdAcxlvpdScf3+RFVTGe8aMGdi8eTO+/PJLHDhwwONEzWg0hm2fb6ocs1NEVFssNdcfHrNjg/J7UTLegubXeLtlvP1kdqPJZpc81nj73U5M2ce7iox3TUvNlffA5JZx98x4u6/xFpjx1iHXdmKu6hWtlHQrGe84k9HZY4B/f5EUVOD92Wef4Y477sDVV1/tt8N4hw4dcOjQodqOjWqI58hEVFssNdcfHrNjg/JxE6CcrGv7uC65Bd5mk7YCb7sowWwyBtxOzGaXEGcywlxJibwSkNe01Fx5vEATEqIoqZ9DrrHVJ+V3qsUdCpSJpPg4x+dDlrWTja8Lggq8T5w4gR49egS8PikpCcXFxUEPioiIooNdzfWHx+zYIPk5Wdd2qblrvEqAGahRWaTZ7BJMxsCZeKtNVDPila3xTk401zLj7W+NN5ur6Z37pBSgrTXe7s3VAi3FoPAJKvBu2LBhpY1Ytm/fjmbNmgU9KKoZZT2VVmbTiCh2sdRcf3jMjg3KiblB6WoO7WTJ/HF1bjZoLuNtE0VHxtsQqLma5Co1DzBZYLWLSE2Mg9Um1igjqAbeJv/viyPwdmuuppH3jEJH+Wy4T6JpZYLFs7ma/88HhU9Qgfcll1yCd999F2VlZT7XHTx4EAsWLMDw4cNrPTiqGS0foIkoNniWmkdxIBQyPGbHBu813lragsgftYGUQVBP4LUSeDv20Q48LqtNhNloqLTU3GoTkZoUp/5/9Z+7qoy35FrjraGAjEJHSSC7Jli081n23k4MYMY7koIKvKdPn478/Hyce+65ePPNNyEIApYvX44pU6agd+/eiI+Px5QpU0I9ViIiCjNmvPWHx+zY4Mp4a6881R/PAFI5gdfGeB37eLsHFpU0VwuY8ZaQluwIvGuyzltp5Baoq7nScR2As7mVNt4zCh1/GW+tBN5qxttsdJuY0sbY6oKgAu8OHTpg9erVMJlMmDZtGmRZxosvvojnnnsOLVu2xOrVq9GyZctQj5WqoOHjMxHFCAbe+sNjdmxQTsyV5WNCDDRXc8/oAdopWbWLMsymwNuJObqeG2GuYo13aqIj8K7JOm/luTzWmNvdm6t5rvHWSpUAhY4YC2u8zYGbD1L4BLWPNwD06dMHf/75J/755x/s3LkTsiyjY8eO6NWrVyjHRzXAk2Qiqi2WmusTj9nap3z0Yqm5mhpAOk/gtTJem11EQpwJJpNvxlkUJUiSIzAXxUq6mtslpCbHA6hpxrvyUnPvCQuu8dYftVGioM2Mt8locC4R0ValSl0QVOD9888/o3PnzmjUqBG6deuGbt26eVyfm5uLHTt24KKLLgrJIImIKDI8Mt7gwVgPeMyODT4n61rfx1uUPDJ6gHYyZ47txAyuTLzbuJTS8jizETa7BJtdgizLaqWBwmoXkZpkBlCzjLf/UnOvNd4GV4k+gx79UTPeRu3t4221iYiPMwKAaykGJ38iJqhS8yFDhmDlypUBr1+9ejWGDBkS9KAoOMx4E1FteW4nxu8UPeAxOza4mqs5ftZ8qbksw2h0decGNFRqbpcCBr5WuyOIVpqrAb77GCtZcaXUvEYZb7v7Pt6+zd1ESXatjTdqJyCj0FEqPzyaq2nkw2y1iYgzOQJvrvGOvKAC76pOxkRRhMEQ1ENTLWjkM01EMYyl5vrDY3ZsiL3marI6VtdaUW2M1+ad8XYLLJQO5UpzNcB3/3ElOFe6mlusIexqLkqepeYaqRKg0FEyyMrWgNoqNRcRb3YG3lzjHXFBH2m9S3LcrVu3DhkZGcE+NNUQs1JEFCpsrqZPPGZrn3dzNS2drPvj3iRMCcC1Ml6lc7i/wNcmukrNA+0/rjSgSlPXeNc28HZbY+6+Nt5g0EyVAIWOmvF2/v61NIlmtTv2sAe0txtBXVDtNd5z5szBnDlz1J8feOABPPbYYz63y8/PR1FREW699dbQjJCqjSfJRFRbnoF3FAdCtcJjduxRM94Gpau5oOk+C977USuXaYHNLsFsdF/j7ZvxNgcIzAE/GW9b6JqreQbeLDXXI1HLzdWsdjXjHejvn8Kn2oF3vXr10Lp1awDAoUOH0LBhQ2RmZnrcRhAEdOvWDeeddx4mT54c2pFSYM7PMk+Siai2PEvN+aUSq3jMjj3Kx82zuVoUB1QF0b07d4D9sqPF0VzN6DYu/83V1FJzr8BDuY0SeNck4628B5U2V1P38WapuR4px1H3ihCtfDasdslVaq6xbQDrgmoH3uPGjcO4ceMAAG3btsWzzz6Lq666KmwDo+rjyTERhQpLzfWBx+zY453xNhi0sz2XP96ZW+UyLbDZJc99tN3XeCvN1UyGSkrNPTPeodxOzGMfbyO7muuRmvF2225PSxnvOO/Am5M/ERPUdmIHDx4M9TgoBHiSTES15dnVPHrjoNDhMTs2eG8nBgiaPq67NwnT4hpvs8noltHzk/E2Vd1cLS1ZKTUPZo23q6u5LWCpuYFbOemQd8Zb0Ngab+9Sc07+RE5Qgbe7srIynDlzxu/BoVWrVrV9eKoGLR+YiSi2sNRc33jM1i7lxFyJu7W0LtQf722xHJdpI4i0VbadmK0GGe9gthOrco23W6k513jrkvI5cFWvaOezbLG5Zby5xjviggq8JUnC888/j1dffRXZ2dkBbyeK1Z8hpNrjSTIR1RZLzfWHx+zY4J3x1lInZH8k2TNzC2gnc2YTRc/txCTfUnP3jLdvczXHz/FxJsTHGWGpUeDt2sNZfXx74OZqVjuDHr0RJdffAKCtz7LFKvopNdfG2OqCoALvRx99FC+++CK6du2K6667Dg0bNgz1uKgGlM+yRj7TRBTD2NVcf3jMjg1qczW1PFXbn0FRlFz7eBu0V2puMhrU99Lur9TcbAhcaq7s9W0yICHOFOR2YkIla7xdTensluoH9RQbfJqraaiywWqXEGfybq7GyZ9ICSrwXrRoEYYPH47vvvsu1OMhIqIoYqm5/vCYHRvU5mruWxBp+DPoKDV3ZvQ0ljmz2SWYTQYIguDsHO6vuZoR5gAZbyUQN5uMSIgzorwGwXG1Ss3dMt6SRsrzKXR8mqsZDJqZlLLY7EhxLqHgGu/IMwRzp/z8fFx99dWhHgsFSTk55kkyEdUWS831h8fs2KCcmKtrvAXtrAv1x39Xc20EkXZRUoNqk9HgEdy6mqtVkvFWytHNSsa7+oG38h54Bt6y2/Vua+MNBm7lpEOSJEMQHE3VAMAgaGeHApvNLePNNd4RF1Tgfc455+DkyZOhHgvVEk+Siai22NVcf3jMjg3e24kJgqDpz6Cjq7nXGm+NBJFKczXAMTaP7cRsrox3wDXeNtc68JoG3spzKaXuguAv483manomSpL6OQa011zNZx9vjYytLggq8J4+fTrmzp2Lo0ePhno8FAQtH5iJKLa4Z4Y4macPPGbHBnWNtwazZP44Mt7KWmXnGm+NjNdml2AyuQW37l3N1TXexsBdzdWMt6PUPLg13q6Mu/vz20XZNSlgFDRTJUChI8uy27aAjs+0VoJbq01CfBz38Y6WoNZ4b9myBa1bt0aXLl1wzTXXoG3btjAajR63EQQBU6dODckgqXo0crwjohjGjLf+8JgdGySvdaFaypL5414yrQQZWgguZFlWm6sBjsDXs7maq3Fa4OZqrr2+a57x9g28PZureVYKaOE9o9Byb6AHaOuzbLHZ1VJzdY23RipV6oKgAu8ZM2ao/79o0SK/t+FBPHK4xpuIQoVrvPWHx+zY4N1cTRAEyNDuZ9C7SRigje7IShBhduvc7NFczeZqnFZ1xrvma7yVx1ImJXwCb6+18Qx69Md9UgpwTLBo5XhqsYk+GW+u8Y6coALvgwcPhnocVAta+TATUezzmJXnd4su8JgdG2KtuZokucppjRrqjqwEEUpQbTJ6ZpVtogijUYDB4NruyxZgjbfZaAxqOzHH2u5KAm+j+xpvBj164z4pBQAGg3a22rP6aa6mhc9tXRFU4N26detQj4Nqgft4E1GocB9v/eExOzb4205My59B7wAS0MYab5tXqbfRKHiWmtskmI2epbb+thMTBMd9HWu8a9DV3K3MXXkOz67mbpUCRpaa65EkeZWaC9rZGtB/czVO/kRKUM3VSFuUUjRmvomotjzXePM7hShSZK+u5gZB0PRn0L1kWl3jrYGy6aoy3la7iDizweM2voG3iDizEYIgICHOBEuNAm/ZK/AWvNZ4y+rv2HtspA+iJPt0NdfK79lqlxBn9p540sbY6oJqZ7xnzZpVowcWBAGTJ0+u8YCIiCh62NVcH3jMjj3Keblrjbd2ylP9EUXXlkmuktXoZ86U5mkmt2y8Z3M1yae5lG9zNVG9TTCl5ia39b2+peZe24lxfa3uuE9KAdpaNmKx+sl4828wYqodeD/44IM1emAexCOHzdWIKFTY1VwfeMyOPT5dzQVBw63VvLYT09B+wEoQbQ6wnZfVJqqZ7sDN1VxZwZqWmtv9lpo7Hl+WZciyq/Ea9/HWJ+813kaDQTOl5la75BZ4c413pFU78F6zZk04x0G1oJHPMhHpALua6wOP2bFHOTFXm6tpaAsif9w7N6trvDUwXu/tvIwGr+3ERN9SW/8Zb8d1CfE1zXh7l5q7nl8pxXftf27QRJUAhZbPGm+NNFeTZdkx8eT198/AO3KqHXgPGjQonOOgWnBlvKM8ECKKee4nB/xOiV08Zsce2au5miBoo1lZIO4l0wYtZrzVNd6CxxpWq030yIYD/rcTM3uUmgef8Tab3AJvZ5Dtvp0Y19fqj/d2YlpprqZ061cz3kZuJxZpbK6mA2pXc00XpRFRLGDGmyg6/Jaaa/gzKHnsR62dNd7+m6u5lZo7G6cBjiUW3l3PAWUduDPjHWdEuaVmgbd7mbF7V3NlYsJjH28NvGcUWqLbVnuAs7maBiZYrM5JKfe/f0HQxue2rmDgrQNaPjATUWxhV3Oi6PC3nZgWylMDce/crGa8NRBcKBlvk1tW2+61xltpnKZe711q7hac1zbj7VFqrgTebmXwWnjPKLREUZtrvJXu/ErGG3COjX+DEcPAWwfYXI2IQkWS3buaR3EgRHWMknQSlFJzCNBw3A3Jq4GUwaCNclpXxtu1jtW9nNtiE5EQ5wo8zF6BORCKruaB1nh7lZob2VxNjyTZtcc9oJ1JNO+MN8At7SKNgbcOqKXm/NwQUS0x400UHWrGW80ia/szKIqeDaSMBsFjO8JosanN1Vx7ZbsH1hVWOxLiXC2OTEaDugWZwmpzNWCLd3Y1r+7vQpQC7+PtW2rO5mp65LudmDb6NVhsfjLefpZaUPgw8NYBLR+YiSi2cI03UXS4mqvB+V9tZJAD8Q4utFI2rQTRZqN7xts98BYR7xV4ezc4czRXU9Z4myBJcrWDE3/7eCvl72pzNbc9xplt1B9R9F3jrYmMt83x9+dZas4+A5HEwFtHeJJMRLXFruZE0eGd8RYEbZysByJKkkfnZq2UTStBtBI4e2f0Kqx2xLuXmpuqLjV33K965eaVlZorYzO5B97MNuqO92fDIGjjs6FkvOO81nhrYWx1BQNvHeB2YkQUKsx4E0WH2tXcrbmalj+CovdexRrJ0CsZ70D7eFv8lZp7dzUXJZjNjvsnxiuBd/UarHkH3kZjJduJcX2tLnnv4200aqW5mud2YoBzjbcGKlXqCgbeOqCBzzIR6QTXeBNFh3JirjRX00ogG4jkU2qujeyt7z7enqXkFVav5mpVZryNzvtVN/CW/WwnpmS8PTuus9Rcn3zXeGujesXqnJRy7+rv2Es++p/buoKBtw6wqzkRhYp7cyR+pRBFjvJ5UzLeggBNnKwH4r6dGKCd7K1N9A68PdewWqxi1c3VvLYTA2pbau7cx1v0aq5mZHM1PfIJvDXS8d9ic2a84zybq/FvMHIYeOuAq6t59D/URBTbmPEmig611Nxtb2wtfwJFyXuvYm0EF2pzNVOg5mq+pebezdVsNglmo6u5GgBUWIIrNXfvau43480yX90RJcljUsqgkUk0pbmaZ8ZbGxNmdQUDbx3gyTERhYrnGu8oDoSojpH8dDXXQul2IN7biTnGG/0vDbXU3OgqNRd9Au/KS80tNlcDtpqWmouS5x7OHvt4+9lODNBGUEah473G26CRJQXqdmJx7mu8WWoeSZoMvF9//XW0adMGCQkJ6N+/PzZt2hTwtvPmzcOFF16I+vXro379+hg6dGilt9cjNlcjolDx7GrOLxWiSFE+e4IQKxlv2U9X8+ifwFdnjbd3cyl/+3jHh7DUXAyU8Xa+fwx89MXfVntamFzxv50YM96RpLnAe/HixcjKysL06dOxdetW9OjRA8OGDcPp06f93n7t2rUYPXo01qxZg/Xr16Nly5a47LLLcPz48QiPPHpYak5EocKu5kTRoWS8lRN2rTRkCkSS/ezjrYHxugLv6pWam/2Umltsdj/biQVbau4n4+1Wau64nIG3nnhPSmmlUaK6nZhXczUtV9bojeYC71mzZmHChAkYP348unTpgrlz5yIpKQkLFizwe/sPP/wQ99xzD3r27Imzzz4b77zzDiRJwurVqyM88ujhyTERhYrnGu/ojYOorvG3xlsLJ+uBiKLkuWWSQRsTBTZRhMEgqO9jddZ4+zZXk3xKzctrFHhX1dXcs9RcCyX6FDqiKKmVK4Dzs6yBz4a6xts9462Rpoh1haYCb6vVii1btmDo0KHqZQaDAUOHDsX69eur9RhlZWWw2Wxo0KCB3+stFguKioo8/ukFA3Aiqi3Zo6s5v1OIIsW1xtuV8dZyQOavc7MWTuDtdkktMwd817BabKLXGlc/GW+r6JvxrlVzNaWrubKPt3fGO/rvG4WOoxrEvf8BNDGJZrHZYTIaPBq/cY13ZGkq8M7NzYUoisjMzPS4PDMzE9nZ2dV6jEceeQTNmjXzCN7dzZw5E+np6eq/li1b1nrc0caTYyIKFXY1p5pgT5bQUYLsmMl4e28nZtDOGm9zoFJvUYLNLnlmvP3t420X3TLeNSs1F0UpYHM1JQD3XuOthfeNQsen1Fwjk1JWr0knQDtLROoKTQXetfXss8/ik08+wZdffomEhAS/t5kyZQoKCwvVf0ePHo3wKEPPtcY7uuMgotjHruZUXezJElreGW+tlG4H4rudmDZO4G12UV3fDSiBtWNc6j7GVTRXs9hcGW+zyQBBqElzNTlgqbkSYHt3NdfC+0ah493xXzvN1USP9d0At7SLNE0F3hkZGTAajTh16pTH5adOnUKTJk0qve+LL76IZ599FitWrED37t0D3i4+Ph5paWke/2Kdq6s5PzhEVDvsak7VxZ4soSWpjbfcmqtp+DPoG1xoY6LA6lNq7gp8lax1QrxbczWT0afU3GpzdT4XBAEJcSZYarDG22z0LmUPvI83ADa30hlRkuA2J6WZ6hWLzbOjP+Dsus+Ki4jRVOAdFxeHPn36eByElYPygAEDAt7v+eefx1NPPYXly5ejb9++kRiqpmjgs0xEOsGMN1VHJHqyAPruy+LNZ423Rkq3A5FkbZbTOjLegQJvR9bas7maAJvoJ+PtFqAkxJmqXWpus1enq7kz421kxluPHJ8Nzz3utTIpFWf2zXhzjXfkaCrwBoCsrCzMmzcP7733Hnbu3Im7774bpaWlGD9+PABg7NixmDJlinr75557DlOnTsWCBQvQpk0bZGdnIzs7GyUlJdF6CRHHjDcRhQrXeFN1RKInC6DPviyB+HQ1FwRoOO52NlfzzHhrIXPrWOPtP+OsbKeU4NVczX3csiw7SnI9Am9jjfbx9g38ZfU65TKAzdX0ylEN4j4ppZHmala7T8abXc0jy1T1TSJr1KhRyMnJwbRp05CdnY2ePXti+fLl6sH9yJEjMLh90b/55puwWq3497//7fE406dPx4wZMyI59KhxBd5RHggRxTzu402RoPRkWbt2bcCeLICjL0tWVpb6c1FRkW6Db+XkV13jbdRGeWogju3ENLjG2yfwdWX0Kiy+GW+zybOrubIPuHvgnRhfk4y36KeruVfG2yB4/FfLlQ1Uc5LXpJSgkR0KrHbJN/DWSKVKXaG5wBsAJk6ciIkTJ/q9bu3atR4/Hzp0KPwD0jgNH5eJKMZ4rvGO4kBI00LRk2XVqlWV9mQBHH1Z4uPjaz3eWKCWmntkvLX7IfTpaq6RiQJbddZ4V7KPt78GbDUpNbeLcsDn9814cx9vPfLXeFALnw2L1e5bau5V8UHhpblSc6o5lpoTUagw403VwZ4soacE2YIQO9uJeZTTaiSr53+Nt2NcSvDsHlSbjZ7N1azOwNt3jXf1Ss19M97u25kpGW+Deh3AUnO9kbwmpQwaaTzor7ka13hHliYz3hQcDR+fiShGMNim6srKysK4cePQt29f9OvXD7Nnz/bpydK8eXPMnDkTgKMny7Rp0/DRRx+pPVkAICUlBSkpKVF7HVrh06xM0Maa6UC8y2m1tY+3/zXeruZq7tcL1ch4G0Oc8XYtJ3C/nPTB36QU4Di+KhNr0WC1i36aq2ljiUhdwcBbB3iiTEShwu3EqLrYkyW0JElWT9ABJeMdxQFVwaecViNNmrxLzd0zeoFKzd0DXzXjbQoy4y0Gzngr/1UmLLjGW5+8Gw8q2W9J8pxcizSL1U/gbRTUvgYUfgy8dUA5N+ZJMhHVFrcTo5pgT5bQ8S5P1cq+2IGIkgyDV4ZeC+O1iYG3E1Oy2ZU1V1Mz3m5Z8fgarfEO3NVcmZjgGm99EyXJq3pFuVyG0RjgThFgtUseE0qA42+x3FK9v22qPa7x1gGu8SaiUFG+RgwGgd8pRBHkk/EWtLvGW5Zln1Jz7ezj7ZXx9ttczbMU3b3U3H/G21jt4MR7H2+j2z7hasbb6N3VPPrvG4WO92dZ2dM72hNTFpvdY0IJUCb4mPGOFAbeOqDR4zIRxSDXXsIGfrcQRZAke2a8BY2smfZH/Z4QPLuaa2G8jsDXe59uGbIsq8FzvNk94230n/H2aq5mqUnG26vUXHl+UZJgMAjqOl8lANfC+0ahE2iNd7Qn0mw2f9uJGVhxEUEMvHWA+3gTUago3ydGo4EZb6II8pvx1mgmVFK/JzS4j7ef7cQAx/tbVmFDfJwRJq99vpWMNOBoQAV4lprXZDsx74y32Zk5F0XZ797nADPeeuMoKfe/xjuaLDa7T6k59/GOLAbeOsBScyIKFeV7hKXmRJHlnfF2fAa1eWx3bYulvYmCCqvdq3maq3N4SbkNKYlxHrf3bq5msfovNa9uczW7KPkE9srloih7lqErpebMOOqK9wSLVjLeFpvoU2ru/fdP4cXAWwc0eEwmohjlKjUX+N1CFEGSV3mq8v9a/BwqpdEe24kZtZE5s9pEnzXcgCPwLa2wISXR7HF771Lz2mS8ZVn2yXi7P7/dO+Ot7uPNwEdPJNmr1Nz55xDtz0eFVfSYlAK087mtKxh46wAz3kQUKh4Zb/A7hShSRD/biTku115Qppyoe08UaGGsFVa7xxpuV+Aro6TciuQEz8A70D7ewWwnpkxcmk3+A3/vEmQ2V9Mn0WeHAo00V7PaPSalAO18busKBt5ERKRS5u8EgaXmRJHkU2ouaGNdqD9q4O21xlsLY7VUkvEuKfMtNffJePttrmasVsZb2Q/Z5Pa+uD+/zWs7J+7jrU+iGGAf7ygfU/1lvJXmfxQZDLx1gM3ViChUlL2EHYF3tEdDVHf4NFfTyMm6P6JzTaj3eLUQeFdYPbdM8gi8y60+peYBM95ugXdifPVKzZW1soEy3la7iDize8ab+3jrkSgFWOMd9VJzu2+puYFrvCOJgbcOKMdkZqeIqLZkWYYgCBAEfqcQRZJ3xtuokU7I/khuux8otNId2ZHx9ldq7miuluyV8TZ6NZfyn/GuXqm5Taws4y3DahM9M95GlprrkXdnfa1MojmWYXiVmnONd0Qx8NYBnhwTUai4Am9mvIkiyd92YoA2g7KAa7w1kDnzDi7cu4qX+sl4m41GyLJrgsNiE2EwCB6TCvHO5mpVnW8pmXPPjLfr+a120e9WZ8w46otdlPx2r4/277nC6tvVnGu8I4uBtw64Mt7RHQcRxT5XqTkn9YgiydF4y0+puRYDb3U7Mc+y6Whn9ADHdmCVZbz9lZoDrqDZZhN9soLKmnElGx6IslY8UFdzq41rvOsCm+h/L/loBt6is6u+vzXe0Z4QqEsYeOsAu5oTUah4Zrz5nUIUKTG1xlvdTsxzvFrIzns3kPLuau6vuZrjesdrsthEj/XdANTHK7dUvs5bzXi7Bd5KAGa1i8413u6BN9d465F3xlv5G1Ca70WD0rvAO/A2m4xRHVddw8BbB7Q4G05EsUmWweZqRFEQ+13NhagHkLIsw2KzewS3Ve3jrVyvBB8WPxnv1CRHsF5Sbqv0+V1dzV2n10nxjucrt9idXc1d1ymN1mzMOOqK9xpvszH6gbfSHNB7O7GEOKMalFP4MfDWAWVNFbNTRFRbkiRDEMBSc6II8854a3mPZ0nyV2oe/bWiNrsEWUbg7cTKbX738VauB+DTAA0A0pyBd1GZpdLnVwIY93W0Sc7nK62wOR7bLahX9huvTsd0ih12UfLoEaBUVbh3z480pTlgvFfGO95cva3yKDQYeMc4WZa5nRgRhQxLzYmiQ5S8Mt4aLjVXglSP5mrG6K/xdgW+ruBCLfW2idUuNfduQKVkvItKrdV6fvdy3qQEx/+XVdidzdVcj20wCDCbDLBWo2M6xQZJkiFJMsxG1+/ZtdxAexnveLOJGe8IYuAd47RYgkZEsYtdzYmiw2aXPNYGa7nUXCmZ9dgySYh+qbm/4EIJggtLLbDZJSQHKjVXMt52Pxnv5HgA1ch4O5/fvVRdybCXWXwz3sptmXHUD7ufLeXiNJHxVj4bXhnvOCMsVpET7RHCwDvGSW5lXfzQEFFtiZKjRI6l5kSRZRe1ufevP0qQavbakzraZfEWpZzW7AouEuMd/59TUA4ASEnyzHh7l5pbrL5rvNNqmPF2v7+yxru03Aar1xpvwBEIMeOoH0pwrbnmalb/zdWUv9WqOvZTaDDwjnHue2byJJmIaksUHVsaGQyCJjNtRHpls3t2Qlb38dZgx2t/3bu1sMbbX8ZbCbxzC8oAwHcfbzUbGbpSc/f7x8cZIQiVZLzjmPHWE2VLOfdJKS0E3oGbqzk+H5z8iQwG3jHO/YAs8ySZiGpJFCWYTEaYzSbYo1gWR1TX2ETRI+OtdAzXYsbbVU7rtY93lM9DKvyUeic6A4ucQmfGO7HyjHe5xa7eR2E0GpCcaEZxdZuruT2/IAhITjCjvMIOm58ydma89cWV8XaVmquTO1HsXq82V/Mz8eO43nPyp6C4IjIDq2MYeMc491JzkdtREFEt2e0ijEYDTCYDbDwZJIoYR6m5W+OtWFvjrYF9vP01N6tuxtsVeNuQEO8ZeAOOcvMqM95+St0BR2fzMosNFpvn5IrjtkY1KKLYZ/ezDMOV8dbeGm9/Ge9l6/ej4b9exd5j+ZEbYB3BwDvGuQfbDLyJqLZE5zYoZrORgTdRBDlKzWOjq7m/wNuogcDbX3BhNBpgNhnUjLfvdmKeZcDlVrsarLtLS46vsrmav4y78pyl5TaUVfhuZ5YQZ1KbslHss/mpBgm0j3dRqQXHThdHZFwBm6uZlYy363j/zPvrAQD7GHiHHAPvGOc+E67FWXEiii2OUnMDzCYjxCiuRyOqa+yiBJMxRjLe/pqraWCNt7811oAj632muqXmFXa1IZq7amW8Azx/UoIZpRU2lFbYfLqqM+OtL66Md9XN1a6f/jVa/2duRMblqgYJsMbbGZhLkoyNO08CAE7ll0VkbHUJA+8Yx4w3EYWS3S45S82NsNmYhSGKFO/masoe2dHOIvujNlfzKjWP9iRBoHWsifEm5AQqNTd6l5oHynjHoais8sDbarMjzmyEIAgel9dPiUdBiQVlFXb/GW9WF+mGElx7djX3v53Yyt8PAYjM+XtFgGUQymdF+Rs8erpI3Ur0dH5prZ7Tbpfw61/HavUYesPAO8Yx8CaiUFJKzU1mI+zMeBNFTMDtxDQYeAdqrhbtSYKyChsA33LyxDgzcgrKIQhAolc222SqXql5alI8ikqr2sfbdysyAKiflogzReWOjLfX2OK4j7euuAJv9+ZqnnvFe8t1VmOEU4XVDqNRUP/eFUrGW/kb3He8AIBjzCfPBB942+0SGl/9Ggbd9zG2H8wN+nH0hoF3jHM/IDPwJqLaUgNvNlcjiqhA24lpeo23z3Zi0R1rqRJ4e2W1kxIcGe/05Hh1QkOhvAb35mr+Au/05PgqOz1bbP4D7wapCcgrdATeSYneGW8jM9464q/BnyAIMBqFgHtlnykKf+Btsdp9st2Aa1mEMu4DJwpgMAg4r0sznDxTEvTzLflpNwpLHBNVu46cCfpx9IaBd4zzzHhr7+BMRLFFtEswGgzcTowowmIp4x2wuVqUEwCl5VbEmY0ea88BoH5qAgAgPSXe5z4+zdUClJpn1EvEmaJqBN5xvoF3w/QEnMwrhSTJPhnveDZX05Vyi2Pyx/tvyGz0rCJz/1yfKQz/1l3+ljkA7hlvx/H+cHYRmmekoGVmKrIDZLxfWbIF3cYugFzJpOCStbtxXpemSE2Kw96jbNKmYOAd4zwy3lFuakJEsc9qtSM+3uToas7AmyhiHM3VfDPe0c4i++MKvN2awRmEqGfnS8t9S7kBV+Bdz0/gHWd2vOdW5/edv328ASAjPbHKkuDAGe9EHM4uAuDInLtjxjs0DmcX4uE310b9uKUEsL7bdnkuKXDPcucWhr+Jmb9lDgCQmuRoNljs7F9w4EQB2jZNR9OGKQEz3pNf/RE7D5/BfmdZuj9HTxWja9tGOKddBrYfYqm5goF3jFNml41GQ9RnmoliUWUztnWR1WpHXLwJJpOBa7yJIshm98x4G41K4K29z6FNFGEwCB5l21pY410SIPBukOYIvOunJPhcpwQeRaVWyLKMknIbUpLifG7XMD0R+cUVlX4vVgQo522Q7nrexvWTPK5LiDOh3MKMd20t/nEXXvrkd2zccTKq41B+l94Z79SkOBSX29SfT+S6gtqqKilCobTChqQE37/NlEQzjEYB+c5lFHuP5aNjiwZo2iAZ2Xm+GW/3v/+dhwOXkB/PLUbzRik4p10j/LUvJwSvQB8YeMc4Jdg2m40MvIlqaN26vTDH3YLdu6N7oNYSi8WOuDhnxptdzYkixi5KHmumlW7b3lsQaYHdaz06oJSaR3+Nt3fXcsCV8e7ftZnPdQlxJphNBhSXWVBuscMuSj5ZacCR8QaA/JLAQVKg5mqN6iX5/X/Aucd3hc37LlRDyi4AG7afiOo4Au2XnZYcr2aVAa/AOwLN1QJVgwiCgHopCSgssUCWZew5modOLeujcYNklJTbUFru2cn/UHah+v+7AgTeNruI7LxSNMtIQfcOjbHzyJmA69uD8fGqndh9JC9kjxdJDLxjnFJqHhdnYuBNVEPrN+wFAPz115Eoj0Q7LFYb4uPNMJnY1Zwokmx20SOYTYj3bHqkJRV+On8bjdEvNS8pt/o0VgNcQdDQvq19rhMEAWnJ8SgssaLQ2bU8rZLAO7cgcJBUbrH7zSp2btVQ/f/mGSke16UmxXkEZBQcJdP8yNyfUBLF91PNeHsF3qmJZs/A21nG3aZJelRLzQHHEoz84gqcyitFSbkNHVrUR5MGyQB89/Lec8yxXjuzQRJ2BQh+s/NKIctAi0ap6NSyPkRRxuFTRSF5HaIo4eanvsWVj34ekseLNN9vB4opzHgTBc9ocJzk8rPjYrXaERdnhNlsRHEVHXyJKHQqrKJHMKuULGtxq6myCjuSvAJvQRCiXhbvyHj7lonfM7IXDIKAi7q39Hu/9OQ4FJVZ1C7M/jPejkx1Zeu8S8qtSPIT3HRqWR9nt2qANk3TEe8VkKV4BWQUHPf3cNu+0xjYvUVUxqEE3t5N9lKS4jy2ozuZW4LG9ZPQtGFyZJqrWXw76ivqpySgoKQCe48VAAA6NK+nXpedV4p2zVw/7zuWj4Q4Ey44pwWOnvYfTB/PcUwqNG+Uon6W9h8vQMcW9Wv9Oo7lFKuPF4uY8Y5xynY/iYlxDB6IashoZODtzWKxIz7eDLPJyO3EiCKowmr3KE9NiNNuxrvcavcJMI0GQ9RLzYvLbH4z3i0ap+LpCRf67GGsSEuKR2GJRc14p6f4Bu9qxruS7GSgwN9oNGDr/HFY+sy1PtelJMWhpNzKfiO1VFJuQ6eWjsAuVNnVYFicn2NB8Ny2zrHG27PUvFnDFDRIq7ppXygEKjUHgHqp8ThTVIGDJwsAAG2bpqOZszLDvSQeAPYczUP75vXQpkkajpwq9vt4x3MdlzfPSEWLRqkwmww4cKL6nc037jiByx/6DDv8NGU7cKLQzz1iBwPvGGd1zoQnJpoZPBDVkBJ4a3G7nmixWu2IjzM5S821d8JPpFcVVtEj8FbWClus2vscllXYfEpplWZw0fw+LSiu8NtArSr1UuKRV1yBolJHYOQv410vJR6CUHnGu7LgxvG96nvanZoYB1l2vKcUvOIyK5o0SEZ6SjxO5ga//3RtlftZhgEA9VISUFDsynifOFOKZo1SkJGeiLwI7ONdVGpRGwl6a9owBdlnSnAouxCN6ychOTEO9VMTkBhvwvEcz+Da0XytPlo2TsPR08V+J4yO55QgPs6IBmkJMBoNaNMkvUYZ6qxXf8SKTYewYNnfPtcdOOl6nFCuG48UBt4xTslIJcSboz7TTBRrmPH25dlcLfYOakSxqtxiU7PcQAyUmnsFmGZ1P+zwf2+UW2yY+cEGPPzmWo/L84or1EZqNdGqSRqOnCpyZbz9BN5GowEN0hIrbYQVqLlbZby3c6LgFJdbkZwYh2YNU9T109HgqFzxbbDXpEEyTuW7uoSfdGa8WzRO9WhYFi45BeVo7NXYT9GiUSqO5ZTg4MlCtGuaDsCxdMRxuWfgve9YgTPwTkWF1e53Iup4TjFaNEpVs/7tmtXDgZPVe42yLGP7IUfTtp+2HfW5/qBbxvtIFCsbgsXAO8ZZnV2HE1hqTlRjDLx9WS02xDu3ExOZ8SaKmAqriAS3TJnJZIDRKGiy1LzMYvNZ462UeEeiQ/dzH27E4+/8gpc++R2bdrp2pcgvrkD9VN+guSrtm9XDgROFauAdKDOYkZ6InILApeaBmrtVRg28y5nxro3ScitSk+LQLCPZpzw6ksoq/Ge8M+snOZuOOZJkJ86UoFlGCrq1zcDJM6XIreTvKhRyCst8Ouormmek4ERuCf7al4NOrRqol7dolIqjp12Bd4XFjsOnCtGhRX20ykwD4D/4PZ5b4tFEsH3zejhQzYz36fwyFJdZcfl57bBt32lUeG21d+BEAVo3cTy3e/Y7VjDwjnFqxjuBpeZENaXsQctqERerVXRmvE3Y+sdhfPHF79EeEpHu2e0S7KLkswVRvNmkyXLKcovdY5IAAJITHAFkJALvP/e79gVesOwv9f/ziyvQIC2xxo/Xtlk95BSU4XhOMVKT4tRJWW9NGyTjxBnfvY1dz29BvRqWuitrwpnxrp3iMke1QdOGKVEtNS8usyItyXfyJ7NBMixWEUWlVoiihOy8UjRtmIKubTMAADsPh297rNJyK0rLbWhU33/g3apJGuyi5NOUrmlGMk657eV94GQBZNnRLLDSwDunGM0yUtWf2zVNx4GThdXqY6Bk2Af3bAlJktX14oqDJwtxUY+WMBoFHKxmFl1LGHjHONcab1fGe/v2Y/joo3XRHBZRTFC2y7JqsJQzWixWG+LizTA515deP+q1KI+ISP8sNv97/ybEGbVZam6x+ZSaK2ubSyOQuc0rLMeNl3bGvdf0wsrfDwNwNLUqt9hRL6XmGW+lvHb99hNoHCA4AZwl6QHKgu12CbmFZch0bsNUXcrzuQc4VHPFZUrGO7ql5kVlFqQl+1ZMNGno+LvIzivF6YIySJKMZhkpahOz7DD+/nOcW+AFKjUf2se1zd5FPVyd/zPrJ3uMS9k7u2OL+shIT0RCnAnHTvs2WDueW4LmjVwZ73bN66Gswlat16hk2Pt3aQYAOJbj+bs8cKLAEfg3TvMoO48VDLxjnF3tau7KeF806H8YO+6taA6LKCbYnCe7FitL/BSONd5GJARoEEREoVem7P0b7x14m9TtibSkpMzqs5ZZ+bkkAoH33uP56NC8Pgb1aolD2YU4nlOsntQ3rl+zwBdwlMICwG9/H0dmJYF368y0gB2zcwrLIMtQ9z+urmYNU2A0CjgSYGsmqp6ScitSlTXeuaVR6xJfVGpFqp+Mt/J3kZ1XqpbCN8tIQb2UeMSZjTidH87A21HG3qie/2qQ+DgTPnh8BK6/+GyPrcSaNPANvNNT4tGkQTIEQUDLxqk+f7eyLON4jlepuXM7sgMnCqoc675j+UhONKNXx8YA4LFlWVGpBbmF5WjbtB7aNk1nxpsiT8nUJSSYITkD70LnVhfcmoKocspSjQp2k1VZrY7txJLdmguxuzlReJ10Zui8g7Y0r71/taKw1OrTgCxSa7z/3Hcap/LKcE77Rujf2ZEV+31XNvY515C6Bw7V1aieYz/l0nIbzmnXKODtWmWm4+SZUlj8VCFkO0vQaxp4m0wGNM9IxZFsBt61UeycDGqakYIKqx0FJdH53BSXWf1nvP0F3g0dAWzjekk4lR++Nd6nnYF3ZZNSN17aBR9Pv9JjG7TMBskoKrWqHfd//fs4enVorN6mVWaqz5Zi+cUVqLDaPUvNnYF3dTqb/30gB93aZiAlKQ6ZDZKw75hrGzIl0G7XLB1tm9ZTtz+LJQy8Y5xnV3PPNd4MJmKD1WpHSUlFtIdRJyndd+v6Z2XRot+wceN+iKKEvLxS1EtPQrLbjP2Pa3bgoYc/5mQeUZgcd5ZTupdnAkB6SjyKNLj2t6CkwqekW1mrHO7A++dtR2E2GXBF/3Zo0TgVzTJS8PvOk9h3PB9Go6A2XqoJQRDw8fSr8Pzdg/D0hAsD3q6tsyTdX9ZbyQxmNgicMQ+kTZO0and9Jl+yLKO43IoUZ6k54Lv/dKTkF1f47YqfmhSHeinxOHiiAMdzS2A0Cmqzs0b1Km/aV1tKqbmyF311Kd9HJ3JLUFhiweoth3H1hR3V61s2TvNZ46287+7fZUkJZrRsnIpdR6pex77naD46t24IADinXSOPfg5KxrxdM2a8KUo8Mt5ee2cWRWBfQKq960e9inr176zVY9x++zvods6jIQmMCgpK60SGc+/ebEyZ8ikAYOvWQ9W+3/vv/4q//jpS4+crL7fijTdWRS14DfQ7tdtF3DL+bVww8EkcP54Pq9WO9h0aI8XtpHrSpA/w8svLUVxcAVGUsGbtTvV1nDxZEPRr+unnXVi6dEtQ91WUOrOBx47lYcOGfbV6LKJoOZ5bAkHwzZamJsWpe0trSWGJbxMxpdQ83E3C/j6Qi65tMtTmbuee3QSbdp7E/uMFaNMkHWaT71ZO1XFhjxb4vxv6VdqcTQm8D/hZW6pkLAOto63M2a0bYueh3BrfjxwsVhGiKDvWeDd0BHzR2GrKZhex+2geznLrDK4QBAFd2jTE9kO5OJlbgiYNktUmfhn1ksIbeOeXqiXtNdHcmbU+nluC7zYcgNUmYqRb4O0v+D2uBN4ZnpOI57RvhD/3na7yOY+cKlInz3p2aOxxn7/256BBWgIy0hPRtlk68ooqUFAcW4krBt5OZ854lkpIkoQPPvgVK1b6bt4OOE6iz5wpgc1mx4Dzn8CWLQexc+cJPPvcN5j18ve4++53sW7d3pCNb8GCn/Dtsm0+l9tsIgwGATm5xfjr76M449ZQQgm8c3OLYbH4zkB/881WnDdgBg4cOI0PP/zN53q7XcSQi5/Bn3/WPMgIZP78tVi/PviT47/+OqKeaPuzZctBfPPtH0E/fkWFFadOFeK9937xec/y80thMo/D2LFzfe63avV2SFJwXeW//XZbwOvy80vx++8HfC4/ftxz1nDhe79g166T+OOPwzV+/uPH87B580H154xG9+Da6+Zg5rPfhC1I/P33A8hodDfKyiovBTt5siDo99WfgwdzUK/+ndi9+yT+78GPgnqMW2+bh3P7Ta/x/WbP+QH3T/oAv/0W/PfC/z34EabP+CLg9VarHd8u2+Yx6SZJEj75ZD0SEm+FyTwO99//vsd9pk77XP3/iy95BgDQvl0mGrgFAHv3ngLg+N5bsmQTLr30WbzxxiosXPgzWraahPfe+0W9rb/vGneyLKOgwJEZuuSSmbju369U9bID2rz5INLr3YGNG/fjgoFPYuCFT6GkpKLKMQRr9+6TVX4frlq9HY88ujgsz0/6dSK3GJn1k32CxrTkeHWLq2i57dnv8f7yf9Sf7XYJJeU2pHll9VKT4hAfZwx7k7C/D+TgnPaucvD+XZrh913Z2H0kDx2a1w/rc7dolAqT0eC3xPXY6SJkpCciPs53K6mqdG2Tgd1H89WGn1QzxeWOyZ6UxDi0aJSKpg2TsXzjwSruFXq7j+TBYhXR07k+2VuXNhnYcfAMjp4uVoNawJHxzi0IX7LsuDPQrykleD6WU4yvftmLvmc1UbuZA0CbpunIKShDidtk27GcYggC0LShZ+DdvV0j/OWWvfY7TmevhhaNHM/Ro0NjHM4uUoPr9dtPYEDX5hAEQZ0Ei7WstyYD79dffx1t2rRBQkIC+vfvj02bNlV6+88++wxnn302EhIScM455+C7776r8XN26Pig+v8Wiw0vzfoe42+dhyuueBGffLIe06Z/jsWLN+C33/bAbhcx/PIXkNnkXuTmluD33w9g2vTPceONr+Pxx5fg4Yc/wbx31uKiQU/7DRpeeHEZXnttJQBg06b9uPfehRh44VO46upZPrddv34fjh3Lwx13LsDIkS+rlw+//HmsWPk3ysqsiI8344svNgMAfvppp3ob5eS7SdOJSE65HRcNehpHj55Rr7/7noXYvPkgrhjxIsbd8rbH865ZuxMnThTgl192o0/fqRh++fMe709FhdUnS5idXYALL3oKeXm+5T0nTxbgppvfwJ13vYsLL3rK9xcA4NChHGzatB8AnCWvJfjkk/Xo23cqzj13Gt55Zy1695mK0Te+7hMQWiw25OeXov95M3DNNbP9Pj4AfPf9nzhzpgRjxszFzp0nYLeL2Ls3W73+3nvfQ/MW9+O229/Bq87fEQCcOlWIw4cds9Effbwe33yzVb1u6dItGD78ebz99hq8NOs7tG7zQK0D1vJyK4qKynHTzW9iwPlPqJfv3n0SP6z4G63bTMYbb6zyuV9FhQ3r1u3FkIufwcmTBThyxPH7PnOmBCbzOI/Jmy1bDqJ//+m4YsSLOG/ADI8xf/fdn5g6dQkOH87FunV7YTKPw0mvEw1ZlnHggGsm8vjxPLRtNxmXDXsOOTlFuPa6OX4niyoqHJnfgoIy7N/vun9OTpE6BkmScN9976Nlq0l4+JHAQUxZmQXbtx/D7t0nfa7744/Dar8DwPF56NjpQZSUVOCKES/iu+/+VK8rKCjDTTe/geU//IVPP92Imc9+A5N5HH7//QDef/9X9XbK33ZlW/fl5harf8fuyp0nBs8+941P9vnUqUL1b2rv3myMH/82bDY7ysutHtn1OXN+wP/+tzTgcycl34aRI19Gg4Z3AXD0e4iLH4+bx7gmi954c7XHfVb84JpcPOTMuLRpk4HMzHo+jz9/wU+YNt0RqE96YBFunzAfAPD98r9w5kwJVq3ejuSU2/HNN1ths9kxYcJ8zJnzA2w2O2w2O/79n1dw0aCnkdHoHpz2asiiBOMKUZQwfvzb2LHjOADH38TPv+zyuI3yHbR58wEcP+5YB1av/p1ITrkdn3/u2AZtz57sKj+PK1b+jV9/3YNNm/arn/OyMgvKy62QZRnPPvcNevZ8DL37TEWfvlNx4MBp5OWV+EzyvfHGKgwf/jxeesnzGHToUA7++eeY+jo++2wj6je4E8eOhW/7GIotx3NKfMrMASA9OR7FUQy8S8utWPj9Pxg/83u8ssRRnaJs79PMK6MlCAKaZ6TgeI5vl+NQkSQZ/xzMxTntMtTLzu3cBMVlVny7bn9Q67trwmQyoFVmKl7/4g+fKsMte075zXRWR9e2GbDaROx1W89K1adUWaQmxcFkMqBf56ZReS+3ObOzPdr7D7y7ts3Atn2n8d2GA+jYwjVJ1CjMGe81W4+o25bVREpSHBqmJ2Lzrmx8v/EArrmoo8f1/oLffcfy0Toz3Se73r1DY5zILal0v/K3vnacl/Xr3AQA0KWNo+RcKVHfczQP3ZyffWXd+MEAuwxoVc2n5cJs8eLFyMrKwty5c9G/f3/Mnj0bw4YNw+7du9G4se8f8rp16zB69GjMnDkT//rXv/DRRx9h5MiR2Lp1K7p161aj577nnoVISDDjlVdXeFzuftIKAOed10EtaezS9REAjoDH37ldz16PYebMUfhh+V945ZWxsNnsankrADwweZHH7b/44neYTEZs+/MwRl7dxydIzc8vxQMPLMKqVduxatV29XKDQYAkydjuPEkFgKLiCo+s+7p1e9G2XRaaNq2H88/viGznH6ty8ldebkViYhwKC8tw6aXP4sore6n3XbVqO9577xfk5ZXioYc/RnJyPEpLLcjPm4s//zyK3btP4J9/jmH9+n24ecxcXHjhWbhv4qU4ejQPnTo1QctWkzxex/jxb+Ohh0age4//AgDeeP0W3HPvQgDAH1ufRq/ej/u8l3fd/S4AR1BojrvF+f8P4oUXvsOaNTt8Hr/TWU1xycVdsG/fKWSfKkRZmRUzZnyBXj1b449th5FfUIqc00XYsvUQenRvhe+/fwjvuQVZe3afRH5+KSRJRvMW93s8/jXXzsHm35/ExZfMVCc4Fi78BZu3OGZYzXG3qK9p0KCzMXRoN/To0QqXDu0Kg8EAo9GAvLwS5LidoIy85mVcdWVvHDuehyef/Mrj+d5992dcemk3dO32qHrZ/ZM+wI03DsAzM79RL7PZRVxyyUwAUN/zhe/egZatHF9en3yyHpcO7Yqbx8zFl19u9ngOc9wtyDn9hsdlV109Czt2nAAA7Nh5HE2b1sPhw7no2OlB3HXnxXjjzdXYt/dFNG1aD3fe9S6OHs3D0aN5aNrsPgDA119vxaaNT+C33/Zg1ertmDP7ZvTq/TiKnbOXvXo/jnW/TUNycjx69HwMALDog7uwc9dJvDnXESDOnr0ccXFGvPHGanTskImlSydjzZodGDXqPJzbb7oadH/26X1ITIrD8GHd8dPPu9T34aYbz0dCghkmk2ueUQmuFGWlFixevBGLF2/0uPyiQU/DZhMxduxArP1pJ4YOfVa97rXXVmL06AFITDTDaDRg2PDncfJkgTqZcOjgy3jk0U/wrxG90Kx5fTzzzNcAgOXL/8LVI1/Gsm8dk30vv7wcDz38MQDg7bduxW+/7cEHi35DeYUVGQ1TMfetH/H+e3ciNdVV1vnXX0cw89lv8N8pV6FX78fx2qtjkX3K8+AzZsxcfPzJevhjMo+D2WzE1Vf3xp9eZfMZGamIizPh3HPb4oEHhmP27OXqddPcsuPuPv/8dzXQBYCff9mNGTO+VB/7/x78CKNG9cdXX7nKynPd9ubcsuUg+p83Az+tfQx2UcJbb/2Idu0a44NFv+HI0TNYvWoKvvhiM24Y/Tr69mmLf13ZC/+dcqX6nWG1+pbRj7rhNfy+6Umc228a5r45HmPHDkScWyZq375TWLHib3Tu0hxXXPGix33btWuEAwccM/OdOjXBnj3ZHtd3Oush9f/nvX0bHp+6BBcP6eLxfttsdpjNjue78qpZ2LnzBAYP7owrruiBhx/+BADQpu1krF71f37fU6pbjp4uRvNGqT6XpyXHRXWNt/uazMmv/ojxV5yD9dsdx4Tu7X2bkDXPSFVLTcPhwIkClFXY0M2tAVrfs5qo/9/b7f/DpXv7xvjql7145oP1aJCWgFEXd4bVLmL5xoP4XyXrwyt/TMfr+etADjo7gw2qvkJnIzVlbXXzRqn45c+jER/Htr2n0a5ZOtIDbGl3ce9WABxdxq8Y0E69vFF6EnIKw5Pxzisqxz8Hc/HITf2Duv/Nl3XBnM8cx273MnPAkcEHgO2HctUqlF1H8tCplW/lSQ/n9X/uz8ElbtuXuTueU4y+ZzVRP9+dWjaAIAA7D59Bn7MycfR0Mdo0cQT7GemJSE4042A1OqVriSBrrFtO//79ce655+K11xx7x0qShJYtW+K+++7Do48+6nP7UaNGobS0FN9++6162XnnnYeePXti7lzfkmBvRUVFSE9Ph8F4AwTBtwthKA0Y0KFWZdaVOadbC/ztzKgEa8SInhh1fX91K7KEBHOtmk41bJjiUfoeq/r0boMtftYAX399f3z66UbfO1ThvPM6YNZLN+L8C56s9dguuKATfvttT43u88gj/8Jzz31b9Q29nHVWU7Rq1RArV/5T9Y0DCPReBqN16wyfABoA0tOTPDLd1ZGRkeoRCHpbunQyrr765YDXu0/GVdfNN52Pe+4Zirvuehd//e06QejSpZk62VEVo9FQafY9GNv/eRZnndVU/fnqkS9jmZ/Khdq6844heOvtNQAcEw533LkAE24fjHnvrPV7+9tuHYT5C35Sf/aeFKiOY0fnYPyt89CyRQN88eVmFIQxw/DlF5MwbdrneO21cRg0+H8BbyfLVkjiJygsLERaWs2bQtU1yjFbb+/XOeMW4JI+rTH7/ks8Lp+x4Fcs+O5vHFlyd1TGNfnVH/HKki24/9998MqSLXjvsSvw577T+PynPTiw2Lc3yc1PfYujp4rw02s3hmU8X/y8B/+ZuhTHvrjbo5T1sqzFSIgz47Mnrwqq1LsmTp4pQYtr3/R73d/vjVeDkZpq/e+5uGJAO7z5f5fVZnh10pqtRzB08mLs/vB2dGhRH898sB5zPtuCU19PjOg4Lp28GOkp8Vjy1MiAt+kyZj52H8lD7rf3ob5zQv2db//CXS/+AMvq/1PXfYfK6i2HcVnWp0H/bZaWW3HBPR+iYVoiVs+5wef6Nv+Zixsv7YJn7rgIsiyj7fVv4T9DzsIL9wzxuJ0oSki/fA6eum0gJo861+9zXZb1KeqlxOPTJ69WL2s/6m38e3An3Httb7S9/i0se/7fGN6/LQCg5/h3MbB7C7w2+dIav65g1fYYpKlSc6vVii1btmDo0KHqZQaDAUOHDsX69f4zN+vXr/e4PQAMGzYs4O0tFguKioo8/kVKuIJuAFi6NKvWj7Fs2TaP/b9r2+lZD0E3gICBYjBBNwBs2LAvJEE3gBoH3QCCCroBR5l7bYJuIPB7GQx/QTeAGgfdACoNugFUGnQDCKqp16IP1+H8C570CLoBVDvoBioveQ9G167NPYJuALhx9ICQPodCCboB4I47FwBAwKAbgEfQDaDGQTcAtGg5CStX/oMF7/4c1qAbcFTF/P3PsUqDbiIAqLDYsetIHlpn+p7ENUxLRG5hubqdT6St2HQQd1zVAy/fdzHOPbsJnnj3N8xavNmjTNZdp5b1sX7HibCtVd66+xSaNEj2WT+6YtYofP3stWEPugHH2tXPnroacWYjRg/trDaVa9csHWe3Cj5b3allfbz99Z/YtNN36RRVTumDoGSamzRIQW5hubpzSSTIsoxt+06jV8fMSm+3aOq/MPu+i9WgG3Cs8ZZl4EyImyJLkozLshxVtp1aBLcMIjkxDhvfGoMfXrre7/WdWjbAcx9uxD8HcnDwZCGOni7GoJ6tfG5nNBrQv3NTLFvv27dIcTynGC0ae1b+dG7TEFv3nFK3XGza0LVWvUOL+lWuG9caTQXeubm5EEURmZmef7SZmZnIzs72e5/s7Owa3X7mzJlIT09X/7Vs2TI0g4+iTxdPRKtafNnrQb0guogSkaeff/Jd4hHq2fdYlpHhWwpc10WjJ4vevPX1NkiSjEvPbeNz3eXntYPFKuK7DYFPVsPlRG4Jdh3JQ7/Ojsm46wZ1Urt59w1Q0t2pZQOIooxbZobn97plTzZ6n1V5YBMJ117UCeWrsrBo6r9Q8P0k2Nc+iL8WjofBIFR95wCeut1Rpj7grkUY8fASj4Z2VLkTucUwmwyo7+y038QZnJ3KC+8Eq7sdh84gr6gCPTr4X9+t6N0pE/f9u4/HZUr59D8Ha9/Z/uDJApRbbPh23X7c+KRjKeKEK7t7LLerqfg4U8D7Tx13PtKS4zB08qfoOHoeAGDgOc393vaukb2w5o8jWPuHb5NSWZax93i+2pVecd2gTvhx6xGcf/eHADx3frikT2ts3HEyahOTwahzZ1RTpkxBYWGh+u/o0dCsAdmwfgY6dXIdiNw3oK9Kr57+1zoAjlLiqlx7raNkIyHBXO3nDLdGftaqKfbvewlbNjvWrvfs4TsrFoxn/nc9fvt1mt/rBgzogPvvq37pVvMguqJ+uOhurF3zWI3vpxgypAt69wr8dxDIN99kYcP6GUE/r7tHHvlXrR/DZl2Iu++6xKMjdjBWrXoU2SdfU3/2nlgZNOhszJhxLey29/D99w9h9A1VZ2XHjhmo/v+C+RNqNT7FlClX4tPFnqVsX3w+KcCtw+uaa/pWeZsnn7zO4+evvpqM0TcMQPdzWmLP7heQnh78BNY9d19S9Y0ADB7cOejnqK6rr+4dkse58MKzPH7u0MF1wv/uggloEWQGQS+UnizTp0/H1q1b0aNHDwwbNgynT/vfMkbpyXLbbbfhjz/+wMiRIzFy5Ej880/dCzB++/sYPvhhOy64exGyXluDy89r57FuWdGhRX00b5SCLbv9JxPC6ZUlW5CSaMZlzgmBSf/pi/O7NcMtl3fD9PEX+L3PsH6OEtCPV+3EX/tPY8P2E3hlyRafRmTVZbOLkGUZOw+dwWufb8WKTYdw7tnhX8ddE4IgQBAEJMbX7hzsvK7N8LQz+F6+8SDGz/we/xzIwV/7q96Cqa7bczQf7ZvVU4PDps5zkFAEsv4UlljUhm6yLGP5xoPofsu7aNcsXV3HXRPd2zdC04bJ+K6SbHB1bNh+Ah1umIeUy2bj6ilf4LM1u/HSvUMw98FhtXrcylzYowX+mH+L2hzu3LOboJ5bNt/dvwd3wrlnN8GIhz9HlzHzsWrzIew5moc/953G/GV/QxRlj67pgCPwdte4vus8ZeA5LWAXJTWrb7OLarWNxlZSqzQVeGdkZMBoNOLUqVMel586dQpNmvj/om3SpEmNbh8fH4+0tDSPf96mTRuJ667zXH/Qp3cbHD0yB6/MGeP3cXv2bIUd25/Dc8+NAgCcfbZjhviOCUP83h4Azj/f0aTg+lH98eILowE41ln37dsW+XlzYbe9h08+vtfjPt98k4UnnrhW/dn9/6dPvwYA8PFH9wR8ziefvA6ZmemI9zpA/LnNVQ55/vkdfV4/4Gh61qFDJl568UZce21ftHfr2mi3vQe77T315x3bn1Obs61Z81/k57nW27dunYEuXZrh1vEX4fPPJ+GntZUHrAMHdsL33z/kc7kSRPznP/0wYcJg9O/fHl9+MQk7dzyn3iY35w2sXPEIGjV2/J6nTh3p85puuvF8TJo0DLNfvhmWinex7NsH8cLzo/HrL1Nx7z2eyxgCGTXqPAwc2AnlZfPVyxa+e4ff23oHiSNG9MTKFY9g9eopPrd97dWxeP5515qaAQM64KKLzlZ/vnx4D7Tzc7Km+OGHhzF0aFe/15WXzccbr98CwNGcb+BAzy+3f/6eif/97z81mogQBAGvvjoW337j2zDqnXm3YdPGJwK+L5MmDcMrc8Zg0Qd3YfCgzsjISMWmjU/gv/+9Cv92/j2+MmcM1qz5L1avmoLHH3OsAbp0aDfcPmEwAOD99+7EjBnXon37xli27EFccUUP9fH//Z9+2Lf3Rfzy81SfgAoA7rrzYo+fzWYjBg7shI8+vEf9PE+aNAx7dr+g3uaGUeepE18AkJgYh6uu6l3pZ7Bfv/Z+L2/fvjEWfXAXunRp5jGZYre9h7lvjld/vvzyHnjpxRtRWPA2/tj6tHr5y7Nu8nnMBg2S1WqYjz+6B/++rh8AYMaMa/Hjj1PwrxE98cEHd2Hr1qfRrp3/WfqERM/eFz26t8J1152LTp2a4IoreqB3r9b4ae1jmDNnDNavm47U1ASMv+Ui9f1cu+Yx/Pe/V6n3P++8Dj7PcfnlPTB16kg89dS/1e9FbytWPIJbxl2Izp2bYd7bt6mXu5fG3zLuQsx9czwWfzIRK1c+inW/TcOkSZ4nHOVl83HJJV2xft10fP11Ft5beAe++moy+vZpi9E3DMDKlY5eIhdf3EX9W+3cuRkAQBAcf4O33ToIY8YM9JvdKi6ahzO5b+LNN27xuPznnx7Hgf2z8OOPjs95ZX8jsWLWrFmYMGECxo8fjy5dumDu3LlISkrCggUL/N5+zpw5GD58OB566CF07twZTz31FHr37q32dKktWZbxxLu/YV8Nuhn7W64hilJITtq++W2fejJabrGpj1lQXIGLJn6MW575Dht2nESDtATMCBDIAsC5ZzfF8x9tQu/bFqrbWGWfKQlJludUXilO5ZXi5JkSfLRyh8fr/nHrYVxzUSe16Vuc2YifX7sR8x+9POB+wPVTE7Ds+X8DAHrd+h4uuOdDTH71Rwy4axEWrdheZQBeYbGjwmLH17/tw/vL/0HCJbPQbewCdBu3AJNeWY1mGSm44ZLwT95FS9YozwnUHuMXotet76He5XPw5MLfsGDZ3z6TMGu2HkFRqQUVFjuKy6zYtPMkfvkzcM8fWZYhyzIOnixQy3fDpcJiR5FbV/78MO25vOdoPjq5dZRXOu6PeHhJiJ8nD4UlFnS6cR66jV2Ad7/7G6bBL6rP8+G0K5EURBJMEARcPbAjXv18K2Z/uhndxi5Ay+veRJ/b3sNzH27E0l/3YvGPu7Bm6xFUWOwAgB82HcTaP47gyKkiHDxZgOnzf8UF93yoPuZl/dpg/dyb8cD1VU/K11abpunY+NYYvHDPYGx4y3+cpLzOxU9chYHdm2P3kTwM+7/P0Pnm+eh923u484UfAABXXeB5jpCWHI/SFZOx6uVRsKz+P4/EZte2GWjfvB7Wbz+BhEteQsIls5Ay7GUYB72AuItfwtinl2HX4TNY989xnMorVb+Pl6zdjVN5pbDbJUiSjAqLHau3HMbmXdkor2I70jO1XKamyeZq/fr1w6uvvgrA0VytVatWmDhxYsDmamVlZfjmG1dn5/PPPx/du3evcXO1F18Yh+uuOxctWzaAIAiwWGxITrkdgONked1v0yDLMkpLLSgpqUD9+sl45dUVmDLlUzXotFhsWL78L3Tu3BxffrUZjzz8Lxw+nIt3F/6MAQM6YsjgzkhKdpw02m3vobTUgqQkx4ltRYUNCQlmn2z5S7O+wyPOLZWU5ykqKsf4W9/G22/dhobOsoyjR8/gkqEzsXrVFBQXVyA9PRHp6UlYtmwbbrr5TY/7799/Cps2HcCYsXMx/53bMW7chVi1ejvWrNmBx/57FZ7+31I8//wyAI7uzIEyOybzOI/HvWH0a+jRozWmPHqlz21/+nkXKipsGHbZOT7Xbd16CEePnkFqWiJat2qIo8fy0Kd3G7z//q+4/PIeaNeuMf79n1fQqlVDvPLKCvTu1RoffngPOnd5BF99NRn/GtHT4/Fef30lnnp6qZo1/d8zSzF9+hf44vNJ+OabP/Duwp89xl2Vlav+we5dJ7Ft22EsdNuzGHB003bPNv7y627Ex5nQr197yLKMHTuO42R2IQ7sP41Bg86G3S6qHbwBYN/eF9GmjSN4/uabrbjm2jnqdbt2Po9WrRriyqtm4aUXb0S3bi0AAB9/vB6NM9NwycWuoFr5XfTv3x4vz7oJ7dtnomHDFFRUWPHkU19h/fp9uGHUebh34nser33Y8Odxy7gLcf31/RGfMB5t2zbC3j2uLs/l5VZUVNhw9OgZ9O4zFePGDsRPP+9CSnIC/tl+DFdc0QPJyfF49ZWxHqW4eXklaJzpmjhS/o6OH89D6zaTATi2rWrWrD4OH87F4UOzA77/VqsdeXklaNKknt/rZVnGmrU7McQtm6p8jpT3Zc/uF9TgsqioXN1yq1mzejhxogBTplyJmTO/wdVX98YjD/8LmZnpaN3a0Yjkr7+O4O231+DVV8dCEAS8//6v6NixCQYMcBwgsrMLkJgYp2aMv/xyM/5z/asYNuwcDB7cGTk5xbjn7ktgNBpw/Hg+Jk58Dy+8eCOGDO4MSZJgMPjOgbZu8wCOH8+H3fYefvttj7pW+OabzsfCha6mRpIkITe3BI0bp6nfJ0rXf39/34cP56qvqzpsNjvG3zoPt98+GEOHPov//vcqPPnEdVXer6zMgvUb9ql/o+PHv40PFv2GKVOuxFdfbcHRo3m45JIuWLp0KxZ9cBducE5IlZRUYMD5T2DnzhNYvvxhmM1GvLfwF7z99q0wOfc4LimpQL36d+Kyy87Bsm//DxaLDYcPn/FZn664ftSr+OKLzdi08Qn07t2m0nEXF5fjmmvnYN7bt6FVq4Z48MGPMHny5Zgx4ws88MAwdO/uymYsWvQbXnrpO8QnmLF5s2NHA/f3/IMPfsX+A6dx6/hBfpcDXXX1LHTs2ACzXhofc83CrFYrkpKSsGTJEowcOVK9fNy4cSgoKMDSpb7b3rVq1QpZWVl44IEH1MumT5+Or776Cn/++afP7f1RjtlHT5xG/Xrp+GbdfmzelY37ruuNh9/8CUvW7gYAjBjQHh1b1ENKYhyeuM1V7VJabsUVDy3BiPPbY/nGg/hp21EYjQKuuqADLju3LUrKrVj6y160aJwGQQDuu643Musno6CkAo+/8yvyispx/ZCzsXrrYRw8UYgv/jcSnVp6Hh/tdgl/H8hB3wnvAwA+ffIq3PLM95hwZXcYBAEvf+rYUeKmS7vgX+e3x/UXn43K/HMgB0Mnf4qcgjJcPbADXrx3CDqOnodmGSm4fshZSEow45kPNjje48w0vDLpEgzu1QqJcSaUlFsRH2eEQRAQH2fCyTMliDcbcd/s1dhzNA9b93gmLtKS47By1ihc+ejnOJ1fhtezLsVdV/es1u9GIcsyNmw/gde++AOfrN7pc/1Ttw/E5l3Z2H+8AL06ZeKslg1gMgrYuPMkvvx5r59HdLikT2t89/y/a1UyGwtyC8pQVGbFLc98h9/+Pu73Ni/cMxgfrdyBP/YGzoZ//vRIPPb2zziUXYRn77wIxeVWvL98O47nek7atMpMQ/1Ux9rooX3bQJJkJCWY0allfZzOL8PaP45iwpXdcdm5bZBfXIGte0/jnHYZ+HjVTpiMBvy1Pwdd2zREs0apuOnSLrBY7ZBlx0TlNY99hRW/H8TH06/CDTMcO3v8Pm8sZFlGt7YZKCy1YP/xApRZ7OjZoTFW/H4IB04U4L3l/+Bf57fHuOHd8PWv+xAfZ0R2Xil+/esYlj3/bzy7aAMa10/GyTMl+HTNLpzKK8MjN/XHM3dcpL6uc8YtwI5DZ9CuWTp+ee1GNGmYAlmW8cLHm5BbWI4mDZKx63AeXpo4BMvW78dbS7fhpYkXo3cn/0sZdh/JQ5cx8/1eBwAb3xqDvrWoxigtt2LM08uw9Neqe8YM7tkSa7cFrtj97Kmrce1FVVfMRossyziVV4p7Zq30eL3vTrkcY4fXbEeqCosdV//3C6z54whEsfYh7Y2XdkaLRqkwCAJ6dcrEik2H0CAtAQO6NcOarUfwyuJ1kNdNC/qYrbnAe/HixRg3bhzeeust9OvXD7Nnz8ann36KXbt2ITMzE2PHjkXz5s0xc6Zjq6B169Zh0KBBePbZZzFixAh88skneOaZZ6q9nZhyEP/1139wwQWemUFZlpHZ5F7k5ZXisceuxhMzrg3wKDWTl1eC+vWTa1SOXlhYhn37TqFPn7ZBPad3gKw4cSIfzZr5ZjQtFhs++2wTtu84jmf+95+AY01OuR0NGiTj6JE5fq8Ph7y8EiQmxiExMQ75+aWoX7/qsuYnn/oSTz75Fb7+OgtXXN4DmzcfREKCWQ1kayI7uwAFBWXYtu0wrr32XI8tiqrrpVnf4bHHluD4sVfUiRPFjh3HkZKSgM8//x0PPDCs2n8n69btxdy5q/H88zcEDFAB4ODBHGzefAD/+U9wW0soiovLsen3A7jg/I5ISPC/I0B5uRUffrgOt956kUdw+cOKv5GbU4Sbbgqc5QkVZXbfO7hds3Yn0tMSAQD9+k/HhvUzsGjRb3jooSvQvHntSoiLi8sx7pa38fpr49C0ab2gHkMUJYiihLg4E/755xh69nJM1hw7OqfS3y8AdDvnUXTp0hyfLr4vqOcO5MiRM2jRor7fiYKq/PrrHgwe8j8899woZE2+HIIg4NSpQtw/6QO8/datPmXuubnFla6pdt+uqyrZ2QX45JMNeOCB4TUed3WcPl2Er77agvT0RIwadV6N7hurXbpPnDiB5s2bY926dRgwwFXF8/DDD+Onn37Cxo2+zSfj4uLw3nvvYfTo0eplb7zxBp544gmfyjWFxWKBxeLKmBUVFaFly5ZIvngmyu3+s67ekhPNkGWEdR1gi0apOFaD/atfmzwUd4/sVfUNnWRZxuRXf8Srn2+t1u0T4kxISTSjtMKG5AQzcgvL0bZpusd+u9WRt+z+gFsjVUWSZHy8eidGDuyA7zcexJ0v/ICCkurtSd6rY2NcMaA99h7Lx5nCcjx6c39c3Lvmy7FiXX5xBW555jtY7SJWbDoU8Ha9OjauNAivzOXntcP31eghkJHuaPRXmf+OOU+dBIqkds3S8dUz13rsVb3vWD7OuukdAK411Ieqsedz17YZ2F5FiXrLxqnIKSjHoJ4tUWG147GxAwJukVUTkiRjzR9HUC8lHonxJvyx9zSmvvMLDmd7NoKun5rgUT0w8dreuKRva7z3/T/o0Lwenrt7cK3HEgkFxRVYtGIHBnZvjo4t6iM5MfjdpcoqbHji3d/wfzeci/qpCWg36m10bt0Qq7ccDuGIAdleoa/AGwBee+01vPDCC8jOzkbPnj3xyiuvoH9/R5AwePBgtGnTBgsXLlRv/9lnn+Hxxx/HoUOH0LFjRzz//PO44oorqvVc1TnpOXEiH02apAd1sqkVgQLv2jp9uggJCWakOQMYrZo+4wv8739L8e23/4fhw7pHezikMcoe9lpls9lx//0fYOrUkX4nymKBJElYsOBnn/206zoG3pUH3jNmzMATTzzhc7lw/pMQTAloVC8J7065HL/+dQzndW0Gi03EG1/+gZ+c2aAHbzgXv/51DEdOFyOvqAIVVkeZptlkwO9vj0VRmQVvfLkNM269ABnpifhk9U68v3y7R2fptOQ4PHfXYHz92z4YBAHL1u/Hk7cNxLT5v/qMq2eHxti2zxEAndWqAXYfycPL912M20acg0H3fYw/9p7GqpdHYXCvljWafAcAi9WO5z7aiCfeXed4DwTg0ZscEz3tmtXDhOeXo+9ZTZCcaEZqUhwy6ydjx6FcHD5VhBNue2s/ffuFePwdR+XW6KGd8doDQ1FYasHSX/dh8qs/qrcr+H4SUpNC+7145FQR7nzRUVI6bdz5aN0kHfFmI+LMRggAJFmGxSaiERum+lAqCQbe+xGWPHU1hvRqhY9X70S7ZvUwpFcr/Lj1CMwmAy7o1hxf/7YP367bjzuu6oHXv/wDOw7mIiHOhAeu74sJzy93LBt4dbTaV+CO53/A3mN5mHrL+Xj5081YveUwLFYR/To3xdMTLsTf+3PwyNyfYBclnHt2EzRpmIJvfnNkKts0Sfcb0I66+Gws/nGX+vPzdw/CD5sOYvUW38ZaitcmD8Wy9Qdw24hz0DA9ESt/P4RL+rRGdl4pFn7/D1b+fggA0L9LU2zc4fiM3j2yZ8DtpJT114/P+0X9XDZvlILjOZ4l9uvevAmJ8SZclvWZWo7szxUD2uHjaVciJcSfi2CVW2y17i2gV3a7BJPJgJkfbEDHlvWRkZ6IO174AYum/gvd2magpNyKhmmJkGQZJqMB5RY79h7Lx7MfbkSX1g3RMD0Ba/84in8O5iIxzoRmjVIw846LYCkvRd9ubfUVeEdSrJ701NS+fadQVmbxKJOsSz7+eD3GjJ2Lv/58Bl26+O+2SEQUabF6DIpUqXmgjPexkzlITk4J2MTHZhex71gBOrdxlfjLsow9R/ORnhyH+qkJAbeeOp1fikfn/owX7hkMADAaBI/nOXSyEG2apuNwdiFO5ZfhvpdX4YHr+2L0UMdSl73H8tEgNQEN0hJgsYpIiHc8jyhKIdklIL+4Ar/9fRyX92/r8XgVFjvi44w+Ab0kyVj4/T+4qEcLxMcZ0bJxGpZvPAhRkjBigGfPifX/HEd6SjzObtWwVh26SbtkWa7WpI+/23lfdux0MURJwqjpX+PTJ69GenI8vvh5D8Zc1lVdEvD7zpPo2bExzM6lQr/vPIlT+WXYsP0Enp5wIf45kIN/Dubiqgs6VLk+urpj9+enbUdx7tlNkJRgxr5j+TiVX4omDZJRLyUBDdMdySNJklFWYcPeY/no1SkT2WdKkNkgGS98vAld22b4fF6o7qntMZuBd4ye9FDNyLKM/ftPe3QlJiKKtlg+BkW6JwsQ2+8XERHFttoeg1jvR3WCIAgMuomIQigrKwvjxo1D37591Z4spaWlGD/e0YXfuyfLpEmTMGjQILz00ktqT5bNmzfj7bffjubLICIiiggG3kRERFRjo0aNQk5ODqZNm6b2ZFm+fDkyMx2TnEeOHPHojXL++efjo48+wuOPP47//ve/6NixI7766qtqNUIlIiKKdSw1Z9kaERFFCY9BNcP3i4iIoqW2x6DYbdNNREREREREFAMYeBMRERERERGFEQNvIiIiIiIiojBi4E1EREREREQURgy8iYiIiIiIiMKIgTcRERERERFRGDHwJiIiIiIiIgojBt5EREREREREYcTAm4iIiIiIiCiMTNEeQLTJsgwAKCoqivJIiIiorlGOPcqxiCrHYzYREUVLbY/ZdT7wPnPmDACgZcuWUR4JERHVVWfOnEF6enq0h6F5PGYTEVG0BXvMrvOBd4MGDQAAR44c0cVJT1FREVq2bImjR48iLS0t2sMJCb29Jr4ebePr0Ta9vZ7CwkK0atVKPRZR5XjM1ja+Hm3j69E+vb0mvb2e2h6z63zgbTA4lrmnp6fr4g9CkZaWpqvXA+jvNfH1aBtfj7bp7fUoxyKqHI/ZsYGvR9v4erRPb69Jb68n2GM2j/REREREREREYcTAm4iIiIiIiCiM6nzgHR8fj+nTpyM+Pj7aQwkJvb0eQH+via9H2/h6tI2vp27T2/vF16NtfD3aprfXA+jvNfH1ePp/9u47PIpybQP4PbvpCUmooYVepIOUgIqAIsWCWBEboseCYkOPigXsYOPg51HxqIgFBUQBFUWKoChVmvQWQk0IkEb6lvn+2J3ZmmR3M7M7u3P/rosrZLPl3WR333nmed7nFUTuYUJERERERESkGt1nvImIiIiIiIjUxMCbiIiIiIiISEUMvImIiIiIiIhUxMCbiIiIiIiISEURFXhv3rwZEydORJcuXZCYmIgWLVrg5ptvxoEDBzyuu3fvXowYMQJJSUmoV68e7rjjDpw5c8bjelarFW+++SZat26NuLg4dO/eHd98800wng6Ki4sxdepUjBgxAvXq1YMgCJgzZ47H9QRBqPLfFVdcIV8vKyuryuvNmzdPU8/prrvu8jrOCy64wOO6Wv8bWa1WzJkzB6NGjUJ6ejoSExPRtWtXvPrqqygvL/e4z6r+RtOnT9fE85GEw3vIm6peW9K/kydPAgAGDx7s9ecjRowI2di9WbNmTZXPZcOGDS7XXbduHS655BIkJCSgcePGeOSRR1BcXByikXvn6+e4P58RWlRRUYGnn34aTZs2RXx8PDIyMrBixYpQDytoIm2+BiJvzuZ8zfma87WyOF+H53wNKDdnR6kwtpB544038Ndff+Gmm25C9+7dkZOTg//+97+48MILsWHDBnTt2hUAcOLECVx66aVISUnB66+/juLiYrz99tvYuXMnNm3ahJiYGPk+n3vuOUyfPh333nsv+vbtiyVLluDWW2+FIAi45ZZbVH0+Z8+excsvv4wWLVqgR48eWLNmjdfrffnllx6X/f3333j33XcxbNgwj5+NHTsWV155pctlAwYMUGTMNfH1OQG2lv2ffPKJy2UpKSke19P636i0tBTjx49H//798cADD6BRo0ZYv349pk6dilWrVuG3336DIAgut7niiitw5513ulzWq1cvNZ8KAN//PuHyHvLm/vvvx9ChQ10uE0URDzzwAFq1aoVmzZrJlzdv3hzTpk1zuW7Tpk2DMk5/PfLII+jbt6/LZe3atZP/v337dlx++eXo1KkTZsyYgRMnTuDtt9/GwYMH8csvvwR7uFXy9XMc8P0zQovuuusuLFy4EI899hjat2+POXPm4Morr8Tq1atxySWXhHp4qou0+RqIvDmb8zXna87X6uB8bRMu8zWg4JwtRpC//vpLrKiocLnswIEDYmxsrHjbbbfJl02YMEGMj48Xjx49Kl+2YsUKEYD40UcfyZedOHFCjI6OFh966CH5MqvVKg4cOFBs3ry5aDabVXw2olheXi5mZ2eLoiiKmzdvFgGIn332mU+3veeee0RBEMTjx4/Llx05ckQEIL711ltqDNcnvj6ncePGiYmJiTXeXzj8jSoqKsS//vrL47YvvfSSCEBcsWKFy+UAXJ5PMPn69wmX95Cv1q5dKwIQX3vtNfmyQYMGiV26dAnhqHyzevVqEYD47bffVnu9kSNHik2aNBELCwvlyz7++GMRgPjrr7+qPUyf+fo57utnhBZt3LjR47O4rKxMbNu2rThgwIAQjix4Im2+FsXIm7M5XztwvuZ8rQTO1+FJyTk7okrNL7roIpczdwDQvn17dOnSBXv37pUv++6773D11VejRYsW8mVDhw5Fhw4dsGDBAvmyJUuWwGQy4cEHH5QvEwQBEyZMwIkTJ7B+/XoVn43t7FDjxo39vl1FRQW+++47DBo0CM2bN/d6nZKSElRWVtZ2iH7z9zlZLBYUFRVV+fNw+BvFxMTgoosu8rj8uuuuAwCX16azsrIyr6VtavL17xMu7yFfff311xAEAbfeeqvHz8xms+bKu6py/vx5mM1mj8uLioqwYsUK3H777UhOTpYvv/POO5GUlOTyNws1Xz/HJTV9RmjRwoULYTQacd9998mXxcXF4Z577sH69etx/PjxEI4uOCJtvgYib87mfO3A+ZrztdI4X4cPJefsiAq8vRFFEadPn0aDBg0AACdPnkRubi769Onjcd1+/fph27Zt8vfbtm1DYmIiOnXq5HE96eda9PPPP6OgoAC33Xab15+/9NJLSEpKQlxcHPr27Yvly5cHeYS+KS0tRXJyMlJSUlCvXj089NBDHh+o4fo3AoCcnBwAkF+bzubMmYPExETEx8ejc+fO+Prrr4M9vCpF2nvIZDJhwYIFuOiii9CqVSuXnx04cACJiYmoU6cOGjdujBdeeAEmkyk0A63B+PHjkZycjLi4OAwZMgR///23/LOdO3fCbDZ7/M1iYmLQs2dPTfwdquP+OS7x5TNCi7Zt24YOHTq4HFQBjvfF9u3bQzCq0NPjfA1ExpzN+ZrzdTBwvuZ8HQpKztkRtcbbm7lz5+LkyZN4+eWXAQDZ2dkAgCZNmnhct0mTJsjLy0NFRQViY2ORnZ2NtLQ0j/U80m1PnTql8ugDM3fuXMTGxuLGG290udxgMGDYsGG47rrr0KxZM2RmZmLGjBkYOXIkfvjhB1x11VUhGrGnJk2a4KmnnsKFF14Iq9WKZcuW4YMPPsCOHTuwZs0aREXZXrrh+jcCgDfffBPJyckYOXKky+UXXXQRbr75ZrRu3RqnTp3C+++/j9tuuw2FhYWYMGFCiEbrEGnvoV9//RXnzp3zOOht27YthgwZgm7duqGkpAQLFy7Eq6++igMHDmD+/PkhGq2nmJgY3HDDDbjyyivRoEED7NmzB2+//TYGDhyIdevWoVevXjX+zdauXRvsYfvF/XMc8P0zQouys7Or/FsA2nhfhIIe52sg/Odsztecr4OF8zXn61BQdM5WsgZea/bu3SsmJyeLAwYMkNem/PHHHyIAcf78+R7Xf+GFF0QAYn5+viiKonjZZZeJnTp18riexWIRAYiPPvqomsN34et6scLCQjEuLk687rrrfLrfc+fOiWlpaWLHjh0VGKV//F0D99prr4kAxG+++Ua+LBz/RqLoeC4ffPBBjdetqKgQu3btKqampoqlpaUKjNQ3VT2fcH0PVWXs2LFidHS0ePbs2Rqve++994oAxPXr1wdhZIE7ePCgGB8fLw4fPlwURVH84osvRADixo0bPa57xx13iCkpKUEeoe+8fY5XxdtnhBa1adNGHDlypMflhw8fFgGI//nPf4I/qBCLpPlaFCNvzuZ8zfma87U6OF9re74WRWXn7IgtNc/JycFVV12FlJQUuTYfAOLj4wHY1lS5k9bnSNeJj4/36Xpa8t1336G8vLzKkjV39erVw/jx47F//36cOHFC5dHVzuOPPw6DwYCVK1fKl4Xj32j+/Pl4/vnncc899/h0RjwmJgYTJ05EQUEBtmzZEoQRVi+S3kPFxcVYsmQJhg8fjvr169d4/SeeeAIAXF6DWtSuXTtce+21WL16NSwWS41/s1D/HapS1ed4Vbx9RmiR1t8XwabX+RqI3Dmb8zXna6VxvuZ8HSpKvjciMvAuLCzEyJEjUVBQgGXLlrlsJyCVBUilHM6ys7NRr149xMbGytfNycmBKIoe1wO0uU3B3LlzkZKSgquvvtrn26SnpwMA8vLy1BqWIuLj41G/fn2XcYbb32jFihW48847cdVVV2HWrFk+305Lf6NIeg8tXrwYpaWlPh/0aunvUJP09HRUVlaipKSkxr9ZqP8O3lT3OV4Vb58RWtSkSZMq/xZA6N8XwaTn+RqI3Dmb87U2/j6R9B7ifM35OlSUnLMjLvAuLy/HNddcgwMHDuCnn35C586dXX7erFkzNGzY0KWRgWTTpk3o2bOn/H3Pnj1RWlrq0Zlv48aN8s+1JDs7G6tXr8YNN9wgf5D6IjMzEwDQsGFDtYamiPPnz+Ps2bMu4wynv9HGjRtx3XXXoU+fPliwYIFfa1q09DeKpPfQ3LlzkZSUhFGjRvl0fS39HWqSmZmJuLg4JCUloWvXroiKivL4m1VWVmL79u0h/zu4q+lzvCrePiO0qGfPnjhw4IBHd1etvC+CRc/zNRDZczbna238fSLpPcT5mvN1qCg6ZytS/K4RZrNZHDVqlBgVFSUuXbq0yus98MADYnx8vHjs2DH5spUrV4oAxA8//FC+7Pjx41XuadisWbOg7mnoy3qkGTNmiADEVatWef15bm6ux2UnTpwQ69atK3bv3l2pofqsqudUVlYmFhUVeVz/3//+twhA/P777+XLwuVvtGfPHrF+/fpily5dxLy8vCrvw9vfqKioSGzbtq3YoEEDj/0S1VTd8wnH95C73NxcMSoqSrzjjjs8flZYWCiWl5e7XGa1WsUxY8aIAMQtW7YEa5g18vaa2b59uxgdHS2OGjVKvmzEiBFikyZNXN5bn3zyiQhA/OWXX4IyVl/48jnuz2eEFm3YsMFjT9Dy8nKxXbt2YkZGRghHFjyRPF+LYuTN2ZyvPXG+Dh7O15yvQ0nJOVvbbeT89MQTT+CHH37ANddcg7y8PHz11VcuP7/99tsBAM8++yy+/fZbDBkyBI8++iiKi4vx1ltvoVu3bhg/frx8/ebNm+Oxxx7DW2+9BZPJhL59+2Lx4sVYu3Yt5s6dW+P6BSX897//RUFBgdwx78cff5TXdT388MNISUmRrzt37lw0bdoUgwcP9npfTz31FA4fPozLL78cTZs2RVZWFj766COUlJTg3XffVf25SGp6Tvn5+ejVqxfGjh2LCy64AICtk+XPP/+MESNG4Nprr5XvKxz+RgaDAcOHD0d+fj7+/e9/Y+nSpS63b9u2LQYMGAAAeP/997F48WJcc801aNGiBbKzszF79mwcO3YMX375pcd+iaF4PikpKWH1HqrK/PnzYTabvZatbd26FWPHjsXYsWPRrl07lJWVYdGiRfjrr79w33334cILLwzBiL0bM2YM4uPjcdFFF6FRo0bYs2cP/ve//yEhIQHTp0+Xr/faa6/hoosuwqBBg3DffffhxIkTeOeddzBs2DCMGDEihM/AlS+f4zk5OT5/RmhRRkYGbrrpJkyePBm5ublo164dPv/8c2RlZeHTTz8N9fCCIhLnayDy5mzO15yvOV8rh/N1+M3XgMJzttJnBUJp0KBBIoAq/znbtWuXOGzYMDEhIUFMTU0Vb7vtNjEnJ8fjPi0Wi/j666+LLVu2FGNiYsQuXbqIX331VbCektiyZcsqn8+RI0fk6+3bt08EIE6aNKnK+/r666/FSy+9VGzYsKEYFRUlNmjQQLzuuuuCfjawpueUn58v3n777WK7du3EhIQEMTY2VuzSpYv4+uuvi5WVlR73p/W/0ZEjR6p9XY4bN06+r+XLl4tXXHGF2LhxYzE6OlpMTU0Vhw0bVmVGJBTPRxIu76Gq9O/fX2zUqJHXs/iZmZniTTfdJLZq1UqMi4sTExISxN69e4uzZs0SrVZrCEZbtXfffVfs16+fWK9ePTEqKkps0qSJePvtt4sHDx70uO7atWvFiy66SIyLixMbNmwoPvTQQ17PRIeSL5/j/n5GaFFZWZn45JNPio0bNxZjY2PFvn37isuWLQv1sIImEudrUYy8OZvzNedrztfK4XwdnvO1KCo3Zwui6NZFgYiIiIiIiIgUE3HN1YiIiIiIiIi0hIE3ERERERERkYoYeBMRERERERGpiIE3ERERERERkYoYeBMRERERERGpiIE3ERERERERkYoYeBMRERERERGpiIE3ERERERERkYoYeBMRERERERGpiIE3ERERERERkYoYeBNp1IIFC3DJJZcgKSkJrVq18vj5gw8+iPT0dCQnJ6NZs2Z47LHHUFlZGfyBEhER6RjnayLyBQNvIo2qW7cuJk6ciNdee83rzydOnIh9+/ahqKgIO3bswI4dO/D6668HeZRERET6xvmaiHzBwJtIo6644grccsstaNmypdefd+7cGYmJiQAAURRhMBhw8OBB1caza9cuREVFYcWKFao9hhqWLFmCmJgYVX83RESkX5yvlcH5miIdA2+iMDZ9+nQkJSWhUaNG2LFjBx577DGP65SWlmLmzJkYOHAg6tWrh+joaKSlpeHKK6/EnDlzYDabfXqsSZMm4eKLL8YVV1yh8LNQ17XXXotu3brh6aefDvVQiIhIpzhf14zzNUU6Bt5EYeyZZ55BcXEx9uzZgwceeABNmjRx+fmhQ4fQq1cvPP7444iLi8PkyZPxv//9D5MmTYLJZML48ePx7LPP1vg469evx4oVKzBp0iS1noqqHn30USxatAi7d+8O9VCIiEiHOF/7hvM1RTIG3kQRoFOnTujRowfuuOMO+bKysjJcffXVyMzMxHfffYcVK1bg3//+N8aPH4+nn34aK1aswKZNm7w2gnH3wQcfoEGDBrjyyitVfBbquf7665GQkIBZs2aFeihERKRjnK+rx/maIhkDb6IIYTKZcODAAfn7Tz75BPv378cTTzyB66+/3utt+vbtiwcffLDa+zWbzVi8eDGGDh2K6Ohoj5/PmTMHgiBg5cqVePHFF9GyZUvExsaie/fumDdvXq2vu2rVKrz88sto2bIl4uPjkZGRgQ0bNgAAfv/9d1xyySVITExEkyZN8Morr3h9DklJSRg4cCAWLlxY7XMlIiJSG+drztekT1GhHgAReWexWGAymWAymSCKIsrLyyEIAmJjY1FYWIhFixZh9OjRSElJwc6dO/Hqq69i+PDh8u2lSeu+++6r1Ti2bNmC4uJi9OvXr9rrPf300ygpKZEPDD777DOMHTsW5eXluOuuuwK+7jPPPAOLxYJHH30UlZWVeOeddzBs2DB88cUXuOeee3Dffffhtttuw4IFCzBlyhS0bt0at99+u8f4BgwYgF9//RX79u3DBRdcEPgvhIiIyAnnaxvO10Q1EIlIkz777DMRgMu/li1biqIoioWFheLll18u1q1bV0xMTBRbt24tPvHEE2JxcbF8+3r16onJycm1Hsfs2bNFAOKSJUuqHWeLFi3EgoIC+fKCggKxRYsWYt26dcXS0tKAr9urVy+xoqJCvu6SJUtEAGJUVJS4efNm+fKKigqxcePGYv/+/b2O88svvxQBiAsXLgz8l0FEROSG8zXnayJfsNScSKPuuusuiKLo8i8rKwsAkJycjJUrVyIvLw/FxcXIzMzE22+/LW9XAgBFRUWoU6dOrcdx5swZAEC9evWqvd6ECROQkpIif5+SkoIHHngA+fn5WLNmTa2uGxMTI38/cOBAAEBGRgb69OkjXx4TE4N+/fpVuQ1J/fr1AQC5ubnVPg8iIiJ/cL52XJfzNVHVGHgTRajk5GScP3++1vcjCAIA296j1enUqZPHZZ07dwYAZGZmBnzdNm3auHxft25dAEDr1q097qNu3bo4d+6c1/FJ45eeDxERkRZwvnbF+ZoiFQNvogjVtWtXFBUVeUyM/mrYsCEAIC8vT4lh+c1oNPp1eVWk8UvPh4iISAs4X7vifE2RioE3UYS64YYbANi6pdZG165dAaDKkjDJ3r17PS7bs2cPAM+z4P5cVymHDh0C4Hg+REREWsD52hXna4pUDLyJItS//vUvdOzYEW+//TaWLFni9TpbtmzBBx98UO399OrVC8nJyfKWIFX58MMPUVhYKH9fWFiIWbNmITU1FYMGDQr4ukrZsGED0tLS0LFjR1Xun4iIKBCcr11xvqZIxe3EiCJUQkICfvrpJ1x11VUYPXo0hg0bhiuuuAL169fHmTNnsHr1avz666946qmnqr0fo9GI66+/HosXL0ZFRQViY2O9Xq9BgwbIyMjA+PHjAdi2HDl27Bg++eQTJCQkBHxdJRQXF2Pt2rW4++67Fb9vIiKi2uB87cD5miIZA2+iCNauXTts27YNH330Eb777ju89tprKC4uRr169dCnTx98/vnnuPXWW2u8nwkTJmDOnDn46aef5JI4d2+88QbWrl2L999/H6dPn0aHDh0wd+5cr/fvz3WV8N1336G0tBT333+/KvdPRERUG5yvbThfUyQTxJpaHxIRARgxYgRKSkqwdu1al8vnzJmD8ePHY/Xq1Rg8eHC19+HPdZV04YUXolWrVvj++++D9phEREShwPmaSJu4xpuIfPLOO+9g/fr1WL58eaiH4pfFixdj165deOONN0I9FCIiItVxvibSJpaaE5FPunTpArPZHOph+G306NGorKwM9TCIiIiCgvM1kTYx401ERERERESkIq7xJiIiIiIiIlIRM95EREREREREKmLgTURERERERKQiBt5EREREREREKmLgTURERERERKQiBt5EREREREREKmLgTURERERERKQiBt5EREREREREKmLgTURERERERKQiBt5EREREREREKmLgTURERERERKQiBt5EREREREREKmLgTURERERERKQiBt5EREREREREKmLgTURERERERKQiBt5EREREREREKmLgTURERERERKSiqFAPINSsVitOnTqFOnXqQBCEUA+HiIh0RBRFnD9/Hk2bNoXBwHPhNeGcTUREoVLbOVv3gfepU6eQnp4e6mEQEZGOHT9+HM2bNw/1MDSPczYREYVaoHO27gPvOnXqALD9ApOTk0M8GiIi0pOioiKkp6fLcxFVj3M2ERGFSm3nbN0H3lKpWnJyMidxIiIKCZZN+4ZzNhERhVqgczYXlBERERERERGpiIE3ERERERERkYoYeBMRERERERGpiIE3ERERERERkYp031zNXxaLBSaTKdTDIAVFRUXBaDSyuRERUQThfK0/0dHRMBqNoR4GEZFXDLx9JIoicnJyUFBQEOqhkAqMRiMaNWqElJQUBuBERGGM87W+paamonHjxpzLiUhzGHj7SJrEGzVqhISEBH6gRwhRFGE2m1FUVITs7GyUlZWhSZMmoR4WEREFiPO1PomiiNLSUuTm5gIA53Ii0hxNBd5//PEH3nrrLWzZsgXZ2dlYtGgRRo8eXe1t1qxZg0mTJmH37t1IT0/H888/j7vuukvRcVksFnkSr1+/vqL3TdpQp04dxMbG4uzZs2jUqBFL1YiIaqDFOZvztb7Fx8cDAHJzczmXE5HmaKq5WklJCXr06IH333/fp+sfOXIEV111FYYMGYLt27fjsccew7/+9S/8+uuvio5LWiOWkJCg6P2StiQmJkIURa4JJCLygRbnbM7XJP3tOZcTkdZoKuM9cuRIjBw50ufrz5o1C61bt8Y777wDAOjUqRP+/PNP/Oc//8Hw4cMVHx/L1SIb/75ERL7T8pzNz3P94t+eiLRKUxlvf61fvx5Dhw51uWz48OFYv359lbepqKhAUVGRyz8iIoosmedK8e6fWaEeBjnhnE1EpJ5ikwVTNh2HxSqGeihUhbAOvHNycpCWluZyWVpaGoqKilBWVub1NtOmTUNKSor8Lz09PRhDJSKiILr2iy147Ke9oR4GOeGcTUSknpn/ZOOVLSfx28nCUA+FqhDWgXcgJk+ejMLCQvnf8ePHQz2ksCEIAl588UVVH2Pw4MEYPHiwqo9BRJHPIvKMfyTgnB1arVq1Crj5HedzouCSEt1mZrw1K6wD78aNG+P06dMul50+fRrJyclyZ0t3sbGxSE5OdvlHNh988AEEQUBGRkaoh0JEVCtG+zpPkQG4ZnDOVhbnbCJyZrC3N7CGdhhUDU01V/PXgAED8PPPP7tctmLFCgwYMCBEIwpvc+fORatWrbBp0yYcOnQI7dq1C/oYli9fHvTHJKLIY7QfgVhFwMheS5rAOVtZwZiz9+/fD4MhsBwN53Oi4DLAMe+RNmkq411cXIzt27dj+/btAGxbj2zfvh3Hjh0DYCs5u/POO+XrP/DAA8jMzMRTTz2Fffv24YMPPsCCBQvw+OOPh2L4Ye3IkSNYt24dZsyYgYYNG2Lu3LkhGUdMTAxiYmJC8thEFDmkwNts5bl/tXDODp1A5myz2YzKykq/Hic2NhbR0dEBjZHzOVFwSRlvLrXSLk0F3n///Td69eqFXr16AQAmTZqEXr16YcqUKQCA7OxseUIHgNatW2Pp0qVYsWIFevTogXfeeQeffPKJKluJRbq5c+eibt26uOqqq3DjjTf6NIkfPXoUDz74IDp27Ij4+HjUr18fN910E7KyslyuN2fOHAiCgL/++guTJk1Cw4YNkZiYiOuuuw5nzpxxua77mrA1a9ZAEAQsWLAAr732Gpo3b464uDhcfvnlOHTokMeYNm7ciBEjRiAlJQUJCQkYNGgQ/vrrr4B+J0QUvpjkVh/n7NCpac7OysqCIAh4++23MXPmTLRt2xaxsbHYs2cPANvc2qdPH8TFxaFt27b46KOP8OKLL3psxeW+xpvzOZF2SZluTQV35EJTpeaDBw+udj3enDlzvN5m27ZtKo5KH+bOnYvrr78eMTExGDt2LD788ENs3rwZffv2rfI2mzdvxrp163DLLbegefPmyMrKwocffojBgwdjz549SEhIcLn+ww8/jLp162Lq1KnIysrCzJkzMXHiRMyfP7/G8U2fPh0GgwFPPvkkCgsL8eabb+K2227Dxo0b5ev89ttvGDlyJHr37o2pU6fCYDDgs88+w2WXXYa1a9eiX79+gf+CiCgs8cS/ejhnh46vc/Znn32G8vJy3HfffYiNjUW9evWwbds2jBgxAk2aNMFLL70Ei8WCl19+GQ0bNvT58TmfE2mPlOmWKr5IezQVeFNobNmyBfv27cN7770HALjkkkvQvHlzzJ07t9rAWzrT7uyaa67BgAED8N133+GOO+5w+Vn9+vWxfPly+Yy61WrF//3f/6GwsBApKSnVjrG8vBzbt2+Xy9bq1q2LRx99FLt27ULXrl0hiiIeeOABDBkyBL/88ov8GPfffz+6dOmC559/nuvNiIgo7PkzZ584cQKHDh1yCaonTpwIo9GIv/76C02bNgUA3HzzzejUqZPPY+B8TqQ9zHhrHwPvWiittGDfmeJQD0N2QcMkJMQY/b7d3LlzkZaWhiFDhgCwbRs2ZswYfPXVV3jnnXdgNHq/T+cutCaTCUVFRWjXrh1SU1OxdetWj8D7vvvucyljGzhwIP7zn//g6NGj6N69e7VjHD9+vMtasYEDBwIAMjMz0bVrV2zfvh0HDx7E888/j3Pnzrnc9vLLL8eXX34Jq9UacJMYIgpPTHiTpNRkwb6C8lAPAwBwQWocEqL9n68B/+bsG264wSXotlgsWLlyJa677jo56AaAdu3aYeTIkfjxxx99GgPncyLtkd6SnPe0i4F3Lew7U4ze760L9TBkWx6+CBc2q/5MszuLxYJ58+ZhyJAhOHLkiHx5RkYG3nnnHaxatQrDhg3zetuysjJMmzYNn332GU6ePOlSclhYWOhx/RYtWrh8X7duXQBAfn5+jeOs6bYHDx4EAIwbN67K+ygsLJRvR0RE+rKvoBy9F+4M9TAAAFtu7IYLGyb6fTt/5+zWrVu73D43NxdlZWVeO6D70xWd8zmRdjHw1i4G3rVwQcMkbHn4olAPQ3ZBwyS/b/Pbb78hOzsb8+bNw7x58zx+Pnfu3CoD74cffhifffYZHnvsMQwYMAApKSkQBAG33HILrF46CVeVOfdln92abis93ltvvYWePXt6vW5Skv+/HyIKb1zjTZILUuOw5cZuoR4GANtYAuHvnF3V/ui1xfmcSLu4nZh2MfCuhYQYo98ZZq2ZO3cuGjVqhPfff9/jZ99//z0WLVqEWbNmeZ28Fy5ciHHjxuGdd96RLysvL0dBQYGaQ/aqbdu2AIDk5GQMHTo06I9PRNri3p2ZKCHaGFCWWUt8nbOr0qhRI8TFxXntIu7tslDgfE5UO76cAKPQYOCtY2VlZfj+++9x0003eTRJA4CmTZvim2++wQ8//IAxY8Z4/NxoNHq8ud977z1YLBbVxlyV3r17o23btnj77bdx6623epwNP3PmjF8dW4koMogsuqMI4c+cnZGR4fU+jEYjhg4disWLF+PUqVPyOu9Dhw7hl19+UXX8vuJ8ThQY6XSzZ80paQUDbx374YcfcP78eYwaNcrrz/v374+GDRti7ty5XgPvq6++Gl9++SVSUlLQuXNnrF+/HitXrkT9+vXVHroHg8GATz75BCNHjkSXLl0wfvx4NGvWDCdPnsTq1auRnJzsc9MYIoocPPFPkcKfObuqwBsAXnzxRSxfvhwXX3wxJkyYAIvFgv/+979yY7NQ43xOVDssNdcuBt46NnfuXMTFxeGKK67w+nODwYCrrroKc+fO9egsCgDvvvsujEYj5s6di/Lyclx88cVYuXIlhg8frvbQvRo8eDDWr1+PV155Bf/9739RXFyMxo0bIyMjA/fff39IxkREocFCc4o0tZ2zJb1798Yvv/yCJ598Ei+88ALS09Px8ssvY+/evdi3b59aw/cL53OiwLHUXLsEUed/naKiIqSkpKCwsBDJycler1NeXo4jR46gdevWiIsLrCEKaR//zkSRo99/12HziUIUvXQF6sRq9xyzL3MQOdT0++LneOBGjx6N3bt3y13FwxVfA6RXr/x9AlM2n8CCYe1xU9vgV5/qQW3nbG6CSERERKQjZWVlLt8fPHgQP//8MwYPHhyaARFRrUk9Ra36zqlqmnbTAERERLWk86IuIq/atGmDu+66C23atMHRo0fx4YcfIiYmBk899VSoh0ZEtcQ13trFwJuIiIhIR0aMGIFvvvkGOTk5iI2NxYABA/D666+jffv2oR4aEdUSzzdrFwNvIiKKWDz+IPL02WefhXoIRLoQ/dFGXNe6LhYM6xC0x7Ry5tMsrvEmIqKII7CtORERhZjZKuLbw3lBfUyWmmsXA28iIopYLLkjIiI94bynXQy8/cAmPZGNf18iosjAz3P94t+e9I6l5trFwNsH0dHRAIDS0tIQj4TUVFJSAkEQ5L83EYU/HoPrC+drkv72nMtJr1hqrl1sruYDo9GI1NRU5ObmAgASEhIgcAFhRBBFEWazGUVFRSgqKkJqaiqMRmOoh0VEtcRPaH3ifK1foiiitLQUubm5nMtJl6QTzdzHW7sYePuocePGACBP5hRZjEYjmjRpgpSUlFAPhYgUJLLkTnc4X+tbamqq/Bog0hPR7StpDwNvHwmCgCZNmqBRo0YwmUyhHg4pKCoqCkajkVkRIqIIwPlav6Kjo5npJt2SMt0sNdcuBt5+MhqN/FAnIgoTrLjTL87XRKQnLDXXPjZXIyIiIiIiCmNW6Svjbs1i4E1ERBGLxx9ERKQHUqJbi/PegYIyTN96MtTDCDkG3kREFHHYs4GIiPTEscZbe6H3qF/2Y/LG46EeRsgx8CYiooglavAAhIiISGnSbKfFUnOzFgcVAgy8iYiIiIiIVBKMk8BSpluLIa5FKoPX+clwBt5ERBRxpEJzfU/xRESkBaYgZHwdGW/tzXzc6syGgTcREREREZFKKizByHi7ftUS6embNXhSIJgYeBMRUcTS+RxPREQaUGGx1nylWgqHjLdFi2cFgoiBNxERRSx9T/FERKQFlUEIOLW8xtvKjDcABt5ERERERESKcm4kFoyMt7ZLzW2DMqv/a9A0Bt5ERBSx9N5BlYiIQsM5AA7GGm9tl5rbvup9WzEG3kREFHEEoebrEBERqcU5xAxOxlu7peZSxtuqydEFDwNvIiKKWPqe4omIKFScK66Csp2YXGquvZlPev4aHFpQMfAmIiIiIiJSkFjF/9Wi5b2y5cA7xOMINQbeREQUsfR+dp2IiELDefoJRhbascZb9Yfym5kZbwAMvImIKAIJ4CJvIiIKHecAOBjBsPQYogbzyvJJAQ2OLZgYeBMRUcTS4gEIERFFPuc13sEIvKWH0HJWWctjCwYG3kRERERERAoKdqm5vMZb9UcKnM7jbgbeREQUufR+dp2IiELDJfAO4uOJGp74tNhxPZgYeBMRERERESlIdFnjHcSMt4ZjWw0PLSgYeBMRUcTS+yRPREShYQ32Gm+5uZp26TzhzcCbiIgij8Cm5kREFEJB38c7iI8VKC2PLRgYeBMRUcTS+9l1IiIKjaDv4y0G77H84drdXVtjCzYG3kRERERERApyXeOt/uNJQa3WYtsKi2NAWhtbsDHwJiKiiCNVmmu5u2skeP/999GqVSvExcUhIyMDmzZtqvb6M2fORMeOHREfH4/09HQ8/vjjKC8vD9JoiYiCxxrkTK/o9lUrik0W+f9aG1uwaS7w5iRORESkffPnz8ekSZMwdepUbN26FT169MDw4cORm5vr9fpff/01nnnmGUydOhV79+7Fp59+ivnz5+PZZ58N8siJiNTnWmqu/uM5upprK7xl4O2gqcCbkzgRESlJ75O8mmbMmIF7770X48ePR+fOnTFr1iwkJCRg9uzZXq+/bt06XHzxxbj11lvRqlUrDBs2DGPHjq3xBDsRUTgK/nZi9sdV/ZH8U2xy7GKutZMCwaapwJuTOBERkfZVVlZiy5YtGDp0qHyZwWDA0KFDsX79eq+3ueiii7BlyxZ5js7MzMTPP/+MK6+8ssrHqaioQFFRkcs/IqJwIDqFwNZqrqfc49m/aiy2NVm5xluimcCbkzgRESlN75O8Ws6ePQuLxYK0tDSXy9PS0pCTk+P1NrfeeitefvllXHLJJYiOjkbbtm0xePDgaqvUpk2bhpSUFPlfenq6os+DiEgtLDW3Cfa2alqmmcCbkzgRESlN1P00rx1r1qzB66+/jg8++ABbt27F999/j6VLl+KVV16p8jaTJ09GYWGh/O/48eNBHDERUeCsQS4112pzNefnrvc5WTOBdyA4iRMRkTeCUPN1KHANGjSA0WjE6dOnXS4/ffo0Gjdu7PU2L7zwAu644w7861//Qrdu3XDdddfh9ddfx7Rp02C1ei/EjI2NRXJysss/IqJwEPztxOyPq/5D+SXYmX8tiwr1ACS1ncQBoFu3bigpKcF9992H5557DgaD53mF2NhYxMbGKv8EiIhIczRWcRcxYmJi0Lt3b6xatQqjR48GAFitVqxatQoTJ070epvS0lKPedloNALgtm9EFHlc1ngHI+MtSo+l+kP5xSXjrbGxBZtmMt7Ok7hEmsQHDBjg9TacxImIiEJj0qRJ+Pjjj/H5559j7969mDBhAkpKSjB+/HgAwJ133onJkyfL17/mmmvw4YcfYt68eThy5AhWrFiBF154Addcc408dxMRRYpgr2222h9FazGQ84kAbY0s+DST8QZsk/i4cePQp08f9OvXDzNnzvSYxJs1a4Zp06YBsE3iM2bMQK9evZCRkYFDhw5xEiciIpneJ3k1jRkzBmfOnMGUKVOQk5ODnj17YtmyZXKvlmPHjrmcHH/++echCAKef/55nDx5Eg0bNsQ111yD1157LVRPgYhINcEuNRfDotRca6MLLk0F3pzEiYhICQK4yDsYJk6cWGVp+Zo1a1y+j4qKwtSpUzF16tQgjIyIKLScg8zg7OMtdTVX/aH84tpcTd80FXgDnMSJiEg5Oj+5TkREIRLspmKOrubamvic52G9z8maWeNNREREREQUCVwC7yAEw3JXc40Ft857VmjtpECwMfAmIqKIpfdJnoiIQiPoa7ylx1L/ofwiupTch3AgGsDAm4iIiIiISEHBbiomPYbmMt7sai5j4E1ERBFLawcgRESkD9YgZ3od+3hra+Jz2VZNW0MLOgbeREQUcQQ2NSciohByLTUPQsZb2sdb9Ufyj2tXc62NLrgYeBMRUcTS9xRPRESh4tpcTX1yc7UgPJY/rEFe665lDLyJiIiIiIgUFPTtxMKh1Dxko9AGBt5ERBRxpEpzUWMHIEREpA8uJdbBLDXX2LQX7N+DljHwJiIiIiIiUlDQtxPTaKl5sDP/WsbAm4iIIpbO53giIgoR5/nHEoRMr7yPt8ayytxOzIGBNxERERERkYKcO3gHI+CU9/FW6f53nivF/vwyv28nisH9PWhZVKgHQEREpBaNnfgnIiKdCHqpuZfHVVL3Bf/Y7n9Cf79u59zRnWu8iYiIiIiISDGuJdZBaK4mun7VimCfgNAyBt5ERBRxBMHW11znczwREYVIqLYTC0aQ7w8rS81lDLyJiChi6b2sjYiIQsNljXcQpiJ5OzH1H8ovLDV3YOBNRERERESkIJcS6yCEw2IYlJprbGhBx8CbiIgils5PrhMRUYg4Tz9ByXhLpeYam/icS821dlIg2Bh4ExERERERKSjYAaeo0VJzsYr/61HA24kdOHAAu3fvRm5uLgRBQMOGDdG1a1e0b99eyfEREREFTO+TvIRzNhFRcLmWWOu3q7lLd3eNZeODza/Ae+/evZg1axYWLlyInJwcAI5foNRBNi0tDTfffDPuv/9+dOrUSeHhEhER1cw+Jeka52wiotAJdqm56PZVK5xPOliruZ4e+BR4Hz58GE8//TQWLVqE+Ph4DBw4EPfffz/atm2L+vXrQxRF5OXl4dChQ9iwYQM++eQTvPfee7j++uvxxhtvoE2bNmo/DyIiIg96PLvOOZuIKPRcthMLwuNJpe1Wjc17rhnv0I1DC3wKvDt37oxu3bphzpw5uP7665GYmFjt9UtKSrBw4UK8++676Ny5M8rLyxUZLBEREVWPczYRUeiJQQ445X28NRbcsqu5g0+B97fffotRo0b5fKeJiYkYN24cxo0bhyVLlgQ8OCIiotrQ4yTPOZuIKPRcm6sFYY23/avW5j2ry37mWhtdcPnU1dyfCdzdtddeG/BtiYiIAqHnJd6cs4mIQi/Y3bzFMCg11/sab24nRkREEUtjxx9ERKQTLmu8gzAZaba5Gtd4yxh4ExERERERKUjKQBuE4ATDVo2u8XYpNdfcaYHgUjzw3r9/P4xGI6KiAt4inIiIqFak7cT0PcXXjHM2EZE6pEDYKAhB2VtbCmqtGpv5mPF2UHymjY6ORnp6urxHKBEREWkT52wiInVIMabuM94uTeZCOBANUDzwbtOmDbKyspS+WyIiIr/pvYNqTThnExGpQ5p9bBnvIKzxlgJvVe478HsNdpM5LeMabyIiIiIiIgVJwapREIKShZZKzNUI8mtzj85Zbq7xJiIiilD6nuKJiChUHBnv4GyjpWbGuzYl4iIcW3yy1DwAd999d43XEQQBn376aSB3T0RERArhnE1EFHxSkGkQhKAse1JzjXdtsuhWUYTRIMBsFTW3/jzYAgq858yZU+N1OIkTEVGoCPbz63qf5AHO2UREoeAoNQ9Opld6CDUey1KL+7SKtt+BGSw1D6jU3Gq1evwzmUzYv38/7r33XvTv3x/5+flKj5WIiIj8xDmbiCj45FJzgxCkruai/XGVf7TaZLxF2Na5S//XM8XWeBuNRrRv3x4fffQR6tevj6efflqpuyYiIgqI3s+uV4VzNhGRuoLe1dztq5Jqk0W3iqIceOt9jbcqzdVGjBiB7777To27JiIiIgVxziYiUp4or/EO1j7eUldz9e47EKJo+x1I/9czVQLvvLw8FBcXq3HXREREPtP7JO8LztlERMqzOm0nFpQ13io2V6vVGm+IjsBb51VoATVXq0pBQQFWrlyJ//znP+jdu7eSd01EROQ3fU/x1eOcTUSkHmn+MQgITldz+XE1tsZbtHV2F8A5OaDA22AwQBAErz8TRRH16tXDjBkzajUwIiKiQFUxRekS52wiouBzWeMdjMezP6A6pea1u60A27ys9zXeAQXed955p8ckLggC6tWrhw4dOmDs2LGoU6eOIgMkIiIKFEvNOWcTEYWCNP8YheDMRSJE1bLK1lrcqwinjLfOJ2XV9vEmIiKi0OOcTUQUfMHuam4VbVuXqfFYllqk7K2ibY23QQjOtmpapkpzNSIiolCS8rt6b+RCREShIQXAwQo4RdgCOzVi/NpkvOVSc7DUnIE3ERERERGRguSMtyE4AadVFGE0qBPk12b8IkRbqXmQtlXTMsUD78zMTLRp0wZt27ZV+q6JiIj8ovPlZDXinE1EpA7HGm8hKNVXomhbT65GqXlt7tM54633Nd6KB94mkwlZWVnIyspS+q6JiIhIQbWds99//320atUKcXFxyMjIwKZNm6q9fkFBAR566CE0adIEsbGx6NChA37++eeAHpuISMukYNsYpG7eVkhBvvJqs4+3rbka13gDCu/jDQAdO3aE1RqMpvlERETeSV28dX5yvUa1mbPnz5+PSZMmYdasWcjIyMDMmTMxfPhw7N+/H40aNfK4fmVlJa644go0atQICxcuRLNmzXD06FGkpqbW8lkQEWmPFGwHbY23KNoCb1W2E6tNxluEIHCNN6DBNd48e05ERKR9M2bMwL333ovx48ejc+fOmDVrFhISEjB79myv1589ezby8vKwePFiXHzxxWjVqhUGDRqEHj16BHnkRETqcy41D1pXc6F2jdCqu+9AiSJgANd4AxoLvKWz51OnTsXWrVvRo0cPDB8+HLm5uV6vL509z8rKwsKFC7F//358/PHHaNasWZBHTkREWsSu5uqorKzEli1bMHToUPkyg8GAoUOHYv369V5v88MPP2DAgAF46KGHkJaWhq5du+L111+HxWKp8nEqKipQVFTk8o+IKBxIs48haPt427PrWst4A/aMt6D7Nd61KjX/+++/sXHjRuTn53uUqgmCgBdeeMGv+3M+ew4As2bNwtKlSzF79mw888wzHteXzp6vW7cO0dHRAIBWrVoF9mSIiIgimJJz9tmzZ2GxWJCWluZyeVpaGvbt2+f1NpmZmfjtt99w22234eeff8ahQ4fw4IMPwmQyYerUqV5vM23aNLz00ks+j4uISCsca7wF1UuspYDWaFAnq1yrNd6irau5gRnvwALvsrIyXH/99Vi+fDlEUYQgOM5gSP/3dxKXzp5PnjxZvsyfs+dLlixBw4YNceutt+Lpp5+G0Wj0epuKigpUVFTI3/PsORFR5NL5yXUA6szZgbBarWjUqBH+97//wWg0onfv3jh58iTeeuutKgPvyZMnY9KkSfL3RUVFSE9PV3WcRERKcJSaq199JW9dplKQ75zxluYM329rK7HmGu8AS81ffvllLF++HM899xxWr14NURTx+eef45dffsHAgQPRt29f7Nmzx6/7rO7seU5OjtfbZGZmYuHChbBYLPj555/xwgsv4J133sGrr75a5eNMmzYNKSkp8j9O4EREFMnUmLMbNGgAo9GI06dPu1x++vRpNG7c2OttmjRpgg4dOricGO/UqRNycnJQWVnp9TaxsbFITk52+UdEFA6cm6upHXBa5SBfna3LnMfv73ORS82DcAJC6wIKvBcuXIibbroJL7/8Mrp27QoAaNasGYYPH46VK1eisrISc+bMUXKcXjmfPe/duzfGjBmD5557DrNmzaryNpMnT0ZhYaH87/jx46qPk4iIgks6F6/vKd5GjTk7JiYGvXv3xqpVq+TLrFYrVq1ahQEDBni9zcUXX4xDhw65lLkfOHAATZo0QUxMjP9PjIhIw5y3E1N7LpJLzVVaT+7csM3f9d6OUnP1T0BoXUCB9/HjxzFo0CAAkM9cS2ero6KiMHbsWMybN8+v++TZcyIiIuWpMWcDwKRJk/Dxxx/j888/x969ezFhwgSUlJTIfVruvPNOl+VjEyZMQF5eHh599FEcOHAAS5cuxeuvv46HHnqotk+RiEhzHM3V1O9qLp3OVKvU3OLUFsTfDSitou1kuAAu/woo8K5Tpw7MZrP8f4PBgFOnTsk/T0lJqbI8vCo8e05ERErT+yQPqDNnA8CYMWPw9ttvY8qUKejZsye2b9+OZcuWyUvGjh07huzsbPn66enp+PXXX7F582Z0794djzzyCB599FGvzVOJiMKd6FL+HZzHUquBmfOJA38De1u3dXvgreiowk9AgXfbtm1x4MABALaz5126dMHChQsB2MoJvv/++4DWTvPsORERkbLUmrMBYOLEiTh69CgqKiqwceNGZGRkyD9bs2aNRwn7gAEDsGHDBpSXl+Pw4cN49tlnq2yGSkQUzuSGZwb1m4o5N1dTY8su5yy3v9l7qyhCgK3UnGu8AzB06FB899138t6b999/P5YtW4a2bduiffv2WLlyJe655x6/75dnz4mISEl6n+QB9eZsIiKqmhSgGoKwf7VV3k5M8LsU3BcWqwIZb4FdzQPaTuyZZ57BHXfcIb+IHnzwQZSXl+Orr76C0WjEvffei6eeeiqgAU2cOBETJ070+rM1a9Z4XCadPSciIiJPas7ZRETknWONt//romvzWOo0V3P6v98Zb1vQrdbYwklAgXdSUhI6duzoctmkSZNc9tokIiIKFWmLUb1P8gDnbCKiUBClpmJBCDjljLcKjdwKKsz49vA5x2P5eXtRFGGAAAHqN5nTuoBKzYmIiMKBvqd4It+Vm6344UheqIdBFDGkEutgdDV3NHJTft779/pjeH+XY9cpvzPeYHM1iU+Bt3OncX+tXLky4NsSERGRfzhnh144ZnWmbD6Oa5cdwLHzFaEeClFEsIoiBEEISsDpvJ2Y0o9VYXHNcfu7Ttul1FzBcYUjnwLvESNG4LLLLsNPP/0kN2epjslkwqJFizBo0CBceeWVtR4kERGRP+yV5qo3tNEiztmhteRIHoyzNiK7pDLUQ/HL/oJyAEBumSnEIyGKDCJsc5EhCE3FnLcuU/rEn1Fau2Xn7/3LpeZCeJ6UVJJPa7y3bduGSZMmYdSoUWjYsCGGDh2Kfv36oW3btqhXrx5EUUReXh4OHjyIDRs2YNWqVSgoKMCwYcOwfft2lZ8CERF5c+93OzGhfwtc2Cwl1EOhIOKcHVrLjxcCAE6VVqJJYkyIR+O7EpPtJE2pWe02UET6IK/xhvrbaDm6miu/ntzoGnf7n/GGPeMNQfd9V3wKvLt27Yrly5dj/fr1+OCDD7BkyRJ88803ENzOgIiiiOTkZFx//fWYMGEC+vbtq8qgyaa00oK8sko0T4kP9VCISIM+2XwCG44VYOfjA0M9lJDR4xzPOVs7jhdXQADQPCk21EOpkfT6KGPgTaQIEY4S66Du463wfRsN7hlv/24vik7biSk4rnDkV1fzAQMGYMCAAbBYLNiyZQv27NmDM2fOQBAENGzYEF27dkWvXr1gMLBnWzBcNedvrMnMgzh9ZKiHQkQaZdH76WUd45wdei2+3AYAECf0D/FIaiYdWpdb9H5oTKQMURRhkNZ4h3FXc/dSc3+z91ZRtPc01+fyL2cBbSdmNBrRr18/9OvXT+nxkB/WZLL7KBFVz6z2aXaNkrJ3Op/jAXDODja3Y9SwISW1mPEmUoZVlNZ4C7CqXH/lso+3wvdd21Jz5+7uep+SeZo7jIXr5E5E6pPOKlt0GngTkX+kQ4oyZryJFCE1VwvOPt62r0ZB+XXUhlo2V5NOQAhQv+Re6xh4hzH3NwIRkUSaF93X9eqNzud4CqFwq7Yw2Y+ImfEmUoa8xhtB7mqu8H17ZLz9vL3VXnLP7cQYeIc19zcCEZFE75MbUaiF23uw3MLAm0hJorS2WQhCV3M4dzVXezsx/24vlZoLKqw/DzcMvMMYM95EVBW9NzCR8PdAoRJuLz2pqZpJ77WgRApxrG0OXsbbAOXXURs81ngH0lzNFnSG2+ei0hh4hzHG3URUFZ3PbUQhF26ZnQoG3kSKcl7brPa7St5OzKB8kK9MxlvgdmJg4E1EFJHC7aBfadJhgr5/CxRK4XaAKZWaM/AmUoYIaW2z+iXWztuJKc1zH+8AmqsJgABB91VoAQXer776KrKzs5UeC/lJAFPeROSdzuc2csI5OzTC7T1YbmbGm0hJjoAziBlveStN5R7RPdrwO+Mt2gJONlcLMPCeMmUKWrRogWuuuQaLFy+GxWJRelxERFQLep/cJOEW/KiBc3ZwSQep4VZ1wjXeRMpyDjjVfls5thNz/V4JFrfPMn/3JLdChCCVmuv84yWgwHvjxo245557sHbtWtxwww1o3rw5nnnmGRw4cEDp8RERUQDC7aCf1MM5OzTCrdS8gqXmRIpyBJzK763tTspwS42XlXw494+EgDLegr3xm86PTQIKvPv27YtZs2YhOzsbn332GTp06IA333wTnTp1wqWXXoovv/wSZWVlSo+ViIh8pPO5Tab3SR7gnB0q4fbaq7Qy402kJEfAqf7JcPeMt5KfPx4Zbz/vWm4yx+ZqtWuuFh8fjzvvvBO///479u/fj6eeegqHDx/GXXfdhSZNmuDBBx/E9u3bFRoquWNXcyKqCg+dyR3n7OAKt/hVCrgZeBMpwypK+1cHs6u5LThQMsD1zHj7X2puEGydqcLsfKTiFOtq3rp1a/Tu3RudOnWCKIooLi7Gxx9/jN69e+Oqq65iYxcioiCSznbr9fycdGJS53N8lThnqy+cXntWUZQPrk1WveekiJRh2786NF3NlXy42ma85cw/m6vVPvDevXs3Jk2ahKZNm2LMmDHYt28fnn/+eWRmZuL48eN47rnnsHr1atx9991KjJeIiHzApBV5wzlbfYL9wDec+iw4Z7mZ8SZShm3/6mB3Nbd9VfLzp9YZb1G072eu/gkIrYsK5EbFxcX45ptv8Omnn2Lz5s0wGAwYMWIE7rvvPlx11VUwGBzx/Msvv4ykpCS89NJLig2aiIiqp/O5TcbfA+fsUAmn+JWBN5HypLXNwe1qrnxzNc+u5v6xnYAQmPFGgIF3WloaysvL0bx5c0yZMgX33HMPmjdvXuX1W7ZsycYtRERBJOp8ehOg/MFHuOKcHRrh9Npj4E2kPNF5bXMQHgtwrPFWt6u5vxlvp+ZqOj8bHlDgfcUVV+Dee+/FyJEjXc6UV2XMmDEYM2ZMIA9FREQB0PncRk44Z4dGOB1gmizSVkQMvImUIjVXC84ab9tXNUrNa73GG1LJvfrbqmldQGu8J02ahH79+lU5gZ89exZ//PFHrQZGNdNr0yQiqlk4HfSrKdy2dFID5+zQCKf4VQq2E6IMDLyJFOJY26z+yXDp/g1qNFdz+0zw966tom0/cwO3Ewss8B4yZAhWrFhR5c9XrVqFIUOGBDwoIiKqHR46k4RzdmiE03tQ6mSeEGWUs99EVDuOtc0CrCp/Ikj3b1RhRw/3YNnfE/uiaAs4uZ1YgIF3TRkEi8XiUzkbERGpQ++Tm4S/Bs7ZoRJOVSdSljs+SmDGm0ghzmubg5XxNsq7Kih33+4Zb3/v2woRgr3kXu/9ZwKeaaXtMrxZt24dGjRoEOhdExFRLel7aiN3nLODL5zeg45ScyMDbyKFSGubDVB/6Yl09wY5463gdmIAog0CvhvewfZ9AM3VpCZzev948bm52rvvvot3331X/v6xxx7Dc88953G9/Px8FBUVcQ/QIKjmOIqIdC6csm1qkD4f9fpr4JwdOtLUHE4HmFzjTaQ8q2jvah6EbbSkOd+o0hrvSxrXQd9GifbH8u/2Uqk5txPzI/BOTU1Fy5YtAQBZWVmoX78+0tLSXK4jCAK6du2K/v374/HHH1d2pERE5DNp0uUJOn3inB164XTyyznwLqiwhHg0RJFBLjWH+l3N1Sw1t0LK3Ev37WfG215qLgShu7vW+Rx4jxs3DuPGjQMAtG7dGtOnT8eoUaNUGxgREQVO7+uoJHr9PXDODr1weuU5B95nykwhHg1RZHA0VwtCxtv+1WiQHlvB7cSsIowGQS5j97czuehUaq7zuDuwfbyPHDmi9DioFkR7m34iIol0tlvvkxxxzg6VcMrssNScSHm2UnNb5Znqa7zdMt5KPpxFFOVScSCA5mr2zD9LzWvRXI2IiLQrjI75VSGditT774FCJ5xee2yuRqQ8q2gLug0QatxdovaP5brGW9FScxH2jHdgpeYiRKfmavr+fPEp4926dWsYDAbs27cP0dHRaNOmTY23EQQBhw8frvUAqWaiyHWcRORKmuT52aA/nLNDi83ViAiwzcMG2Jqr+Vue7fdj2b/KXc2VbK5mfx61z3gLus94+xR4t2zZEoIgyOXMLVq0YGmzBghQvpyEiCIDPxds9Ph74JytDdYwevUx8CZSnhX2jHcQ9vH26Gqu5HZiIhBjRC0y3ghayb3W+RR4r1mzptrviYhIW/RezqVnnLO1IZzeggy8iZRnayoWpK7m9q/GALPS1bGIIoyCQV6f7G/2Xt5WDeH1uagGrvGOAGqvGyGi8CNvJwZ9Zzr58UihEk7xq8lqO5ROiGbgTaQUq1OJtvr7eNu+Gg3KV8Na7ScQAs14u5aa6/vzJaCu5haLBRUVFUhISJAvKygowKeffoq8vDzccsst6Natm2KDpOrp+yVMRN6I8ld+Qugd5+zQCM9SczZXI1KKVGpuayqm7mPJa7wD3Gu7OraMd+BrvEUE7/egdQEF3vfffz82bNiAXbt2AQBMJhMuueQS7NmzBwAwY8YMrF+/Hj179lRsoORJUKGBAhFFBn4u2PDEA+fsUAmn96B7qTm3KSWqPdEpU6z2XCQF2lHyPt7Ksdi3RTME2DHd6hS4h9HHoioCKjX/888/MWrUKPn7hQsXYs+ePXj//fexbt06pKWlYfr06YoNkoiI/CNNwnovNSfO2cEmqLDGUm0mqwgBQKx9gagljMZOpFVWUYQAISiZXotVCrztpeZKbyfmkvH2v9Q8WGvdtS6gjHd2djZat24tf7906VJ06dIFEyZMAADcd999+Oijj5QZIdWIGR0icqf3TwVWBDlwzg4u6TXnPDdrPYNssoqINgiIth9Zm6yifABPRIGRunkHZY23/WtUgOuwqyNlvAPdKlFqrsaMd4AZb1EUYbFY5O/XrFmDIUOGyN83adIEubm5tR8d+YQHlkTkjk0XScI5O7ikA2Dng1OtvxtNFvfAW+1dh4kin5zpFdTP9KrdXM2W8Q5sqzKraAs4uZ1YgIF369at8euvvwIA/vrrL2RnZ7tM4qdOnUJKSooyI6Qq8Vw0EVWFzdVs9P3sbThnB5d00sv5QFvrB5uOjLdB/p6IakcqNQ/GPt4WaY23oHypucUpYw0EkPEG5Iy53pMCAQXe48ePx5IlS9C1a1dcffXVaNSoEYYPHy7/fOPGjbjgggsUGyRVT98vYSLyRpoYucab1Jyz33//fbRq1QpxcXHIyMjApk2bfLrdvHnzIAgCRo8eHdDjapn03rO6XKbtmdpbqTkR1Y5Uai7A/72v/SW9ZaUlIko+ni3jrUSpuaD7mCWgwPvRRx/FSy+9hNjYWPTq1QuLFi2Styk5d+4cNmzYgCuvvFLRgVLVND6fE1EISI1WNLysNCj0fnYdUG/Onj9/PiZNmoSpU6di69at6NGjB4YPH15j2XpWVhaefPJJDBw4MKDno3VytUk4lZpbRUQbBUTZPy8srDQnqjVbxtve1VzluciR8bZ9r+TjSRlvQbA3iguk1JzbiQEIsLmaIAh44YUX8MILL3j8rH79+lwrRkQUYlKGTe/9kXQ+xwNQb86eMWMG7r33XowfPx4AMGvWLCxduhSzZ8/GM8884/U2FosFt912G1566SWsXbsWBQUFAT22llnDuNRcypaZecKKqNZsGe/gdDV3bCem/Bpvi9WW8QZsxxS1y3jr+7MloIy32li65h+9v4iJyBNLzUlNlZWV2LJlC4YOHSpfZjAYMHToUKxfv77K27388sto1KgR7rnnHp8ep6KiAkVFRS7/tE50+wqEQ6m5FdEGgyPw1vqZAqIwIGV6g9HNW6pSkUvNFd1OzLYPN2A7kRDQdmJgczUgwIw3AJSUlODrr7/GwYMHce7cOY+SBkEQ8Omnn/p9v1Lp2qxZs5CRkYGZM2di+PDh2L9/Pxo1alTl7SK9dM0bQYUGCkQUGVhqbsPPRxul5+yzZ8/CYrEgLS3N5fK0tDTs27fP623+/PNPfPrpp9i+fbvPjzNt2jS89NJLPl9fC+Q13qLnZVolZ7wFBt5ESpFKzaUT4GpuKyiVfxsD7DxeHWk7MSDAjDdEOfOv9zk5oMB706ZNuPrqq3H27NkqrxNo4M3SNf/p/DVMRF5IZ6R1HncT1J2zfXX+/Hnccccd+Pjjj9GgQQOfbzd58mRMmjRJ/r6oqAjp6elqDFEx3rqaa70yjaXmRMqTSs2loFWEenOye8ZbybewtJ0YUIuMd5Ay/1oXUOA9adIkVFZWYsGCBbjssstQr149RQYjla5NnjxZvszf0rW1a9dW+xgVFRWoqKiQvw+HsjUiIn9JjVbUOruudawIclBjzm7QoAGMRiNOnz7tcvnp06fRuHFjj+sfPnwYWVlZuOaaa+TLrPa9oqOiorB//360bdvW43axsbGIjY2t9XiDyds+3lpPIHsE3lofMFEYcOzjbfteVDHyljLeUtWKkm9hl4x3APdt+z0IEKD+fuZaF9Aa7y1btuCJJ57AjTfeqFjQDVRfupaTk+P1NlLp2scff+zTY0ybNg0pKSnyP62fOfcFu/YSkTt7TMOMN6kyZ8fExKB3795YtWqVfJnVasWqVaswYMAAj+tfcMEF2LlzJ7Zv3y7/GzVqFIYMGYLt27dHxFwskaZk1zXeIRmKzzxKzXlcQVRr8j7eEOTv1Xss21ejPbJT8pE8Mt5+315kxtsuoIx3cnIy6tevr/RY/BZI6Vo4lq1VRXAqXSEicsau5jZaL/ENBrXm7EmTJmHcuHHo06cP+vXrh5kzZ6KkpEReKnbnnXeiWbNmmDZtGuLi4tC1a1eX26empgKAx+XhTnrNhXWpudbPFBCFARH2/a+DcLwuVbmpt8ZbCrz9P4Hgup2Yvj9bAgq8r7/+evz666948MEHFR1MMErXwrFsjYjIX3ovNScHtebsMWPG4MyZM5gyZQpycnLQs2dPLFu2TK5aO3bsGAwGTW6eoqqwbq4mB94hHhBRBLCKgGBwnABX83PAlpV2VLkpW2quwHZisO0DrvGPQtUFNCO+8cYbyM3NxcMPP4zDhw8rVurM0rXA6PzkERF5ofUD/WDh56N6czYATJw4EUePHkVFRQU2btyIjIwM+Wdr1qzBnDlzqrztnDlzsHjxYsXGohXSb9fqdIip9SyPo9Tc9j1LzYlqT5QCTqmruYqPJWWlXdaTK8QqijAaatFcDU7N1XT+0RJQxjs1NRWCIGDTpk344IMPvF5HEASYzWa/75ula/7T+4uYiDzJXc2Z8NY9Neds8iS995znZq1P0yw1J1Kec8AJqL/G2yhAXk+ubKk5atlczbGdmN4/WgIKvO+8807VyhdZukZEVHvSPt4GnUfeOp/jAag7Z5Mn6djaIjpnvEM0GB+ZrCLijAy8iZRkFW0nv6VPX1Uz3lbXjLfSXc1dm6sFup2YoPl+F2oLKPCurnRMCRMnTsTEiRO9/mzNmjXV3lbtsWmR3l/ERORJCrwZbpEe58VQ8r6dmLbnaZNVRJ1oA7uaEylItGd6DfIWXypmvGFrrGYQlC9rt1idA29mvGuDqeMwJp9B0/mLmIg8lZpsh/8J0cYQjyQ0HJ+P/ICk4JJec84Zb62/CistVkQbDMx4EynIKtrmIjXWXbuzZbydm6sp92C2oN72f6EWXc25nVgtAm+LxYIvvvgCt99+O6644gps27YNAJCfn48vvvgCJ0+eVGyQRETknwp7W+JoI3PexDk7mKSY1Tl41XocyzXeRMoTYQ847d+ruVmAFa6Bt5JBvlTGDtjWkPud8YbtdyAE0Jgt0gRUal5aWophw4Zh3bp1SExMRGlpKfLz8wHY9gt95plncPfdd+PVV19VdLDknb5fwkTkDZeg2PC3wDk72KTXnCXMSs1tXc1Zak6kFLnEWir/Vn07MUFugqZoqbkoumwn5u99O5ea6/2jJaCM94svvoi///4bixYtQmZmpkspn9FolPcMpeBgKSURuZPOSLOnFnHODi4pyA7vjHeIB0QUAaRS82B0Nbe4BflKPpZFRO22E2OpuSygwPvbb7/Ffffdh2uvvdZrh/F27dohKyurtmOjGggqnNUiosjAE3I2/DVwzg42R8Y7fNZ4e+zjrfUzBURhQCo1D0ZXc2k7MTUeyyqKcsDob3M1KUh3NFfT92dLQIH3qVOn0KNHjyp/npCQgPPnzwc8KCIiqh05463Tvub6ntpdcc5W3/78MjT5fAsKKszyey8cS82lrBZLzYlqzyqKEBCcrubSOmy51FzR7cQCz3hLn4eO7cT0LaDAu379+tU2Ytm9ezeaNm0a8KDIP5wficidKH/V9weEvp+9Deds9X154CxySk34+0yJPCeHY6m5dODOjDdR7QU14w3XjLdSq0WkIFveTgyBZbyN3E4MQICB9+WXX47PPvsMpaWlHj87cuQIZs+ejREjRtR6cOQbnb+GicgLabLT6yTHUnsHztnqi7IfTZmtonyyKxxLzQEgShCY8SZSgNRUzLHGW73HkjLejkZuyjyYNGbn5mr+BPWuGW/tV/+oLaDAe+rUqcjPz0ffvn3x4YcfQhAELFu2DJMnT8aFF16I2NhYTJ48WemxEhGRj6S5TedzHANwcM4OBudtuByl5s4Zb22/Dk1WUd56MMogMONNpAB5H2/796p2NYctOFY6yLc4rdGWvvpXam6/PQQYBcFlCY4eBRR4t2vXDqtWrUJUVBSmTJkCURTx9ttv44033kB6ejpWrVqF9PR0pcdKVeCBJRG5kyY7vX8+6PvZ23DOVp/zNlzetxML/pj8YbJaEWNvvMfAm0gZcqm5tMZbxRlJyq5LJeEWheZ+i9Wt1Nzf5mr2rwbBtk5c6ych1RbQPt4A0Lt3b+zYsQO7du3C3r17IYoi2rdvj169eik5PqqG1DRJ3y9hIvJGdPuqNzqf2z1wzlaXVKZtsopetxPTeq8F91JzEwNvolqzNVeDKg3P3FnsW3ZJJeFKZZal+3GUmgeY8RYEGBQcV7gKKPD+448/0KlTJzRs2BBdu3ZF165dXX5+9uxZ7NmzB5deeqkigyQiIv9YrVLGO8QDCTG9P3+Ac3awedtOTOtxrEvgbeAabyIl2Pavduwtoma21yqKMKqQ8ZaboxkCzHg7rfE2GgTFxhWuAio1HzJkCFasWFHlz1etWoUhQ4YEPCjyj85fw0TkhfSxoNeyLn0+a+84ZweXvMbb6nmZVrkG3uxqTqQEqdRcWh+t5rtKznjb38cWhd7DUoZa3scbgW4nZjspoPePloAC75rWDFosFhgMAd01BUDrJWxEFHzyGu8QjyPU+PnIOTsYpDWcgOP37Zw11vLr0CraGsK5dDVXai8iIh2ziiIEl4y3uo9ly3jbvleu1NxLxtvPcUm3MwjKZeLDVcAzrfMk427dunVo0KBBoHdNPhKCsGaEiMITu5qTM87ZweO9q3mIBuMDaT03S82JlCWKtkBLXuOt4mPZthOD8s3V3PfxDrTU3H4feq3Ck/i8xvvdd9/Fu+++K3//2GOP4bnnnvO4Xn5+PoqKinD33XcrM0IiIvKbNNlpOdOmJr2feOCcHTpS52LnUk8tH2x6BN4Cu5oTKcEKW5JM7mqu5hpvQKU13ravATdXg1NzNYHN1XwOvFNTU9GyZUsAQFZWFurXr4+0tDSX6wiCgK5du6J///54/PHHlR0pVUnnr2Ei8kIKuDV8vE8q4pwdOo6Mt+dlWuQeeEdzOzEiRVistvJvqbxY1a7mcsZb+l6h+/XYx7sWzdUEQbG15+HK58B73LhxGDduHACgdevWmD59OkaNGqXawMh3PLAmInfS3KblTJua5BMPIR5HqHDODh3pvee6nZh2mSwsNSdSg0UUYRQcS0PVbJ0gZbwNSpeay/t42773v7maI3A3+rk+PBIFtJ3YkSNHlB4HEREpSGrwxMNn4pytPuftgqQDTdc13tp9J3pd463zrBSREiyi7f0kdzVXeTsxqZzb9tgKlZrbv0ol7ILfzdVsX6Xu7sx411JpaSnOnTvn9cXUokWL2t49+UDNNzIRhSd5jbfOPx70/vzdcc5Wh2P7vnAsNbcdRkcbbQWxXONNpAyzvdQ8GF3Npe3EBIXXUkuBskFe4+3fiURmvF0FFHhbrVa8+eabeO+995CTk1Pl9SwWS8ADo5pJb2ROj0TkTu/biTHgduCcHTwWUZSbCYVNqTm7mhOpwmLf4iuYXc0B+1pqxbqaO+4TsJWa+3PXUqBt6+7OjHdAgfczzzyDt99+G126dMENN9yA+vXrKz0uIiKqBUdXb31Pcnp//gDn7GCQToRbrFVtJ6bd16Fn4A3u402kAKnUXMp5q/k5YBFFRBtsVStGAYoFuLXfxxvy7YyCABG2ebm6LS4jWUCB91dffYURI0bg559/Vno8FAANz+dEFCLSBK/Xk8s6fdpecc4OHkuVa7xDNaKaed1OjAcWRLVmKzUPzj7eZisQ5ZTxVuozp9bbiTmXmhsc92nUZ9wtd7j3S35+Pq699lqlx0IB0us+vURUNelTQe8ZX30/exvO2erztsbbOWus5dchm6sRqUMqNZe7mqv4tjKLIqLs72GjQclSc+W2EzNA2Y7r4SigwLtbt27Izs5WeizkJ0HukhjigRCR5sjN1UI7jJDR+wkHZ5yz1SeVddoy3pD/LwmvUnMG3kRKsNiDYSngVDNRZrY6Bd5KNleTSs3lwFuZjLdeBRR4T506FbNmzcLx48eVHg8RESlA3k5MxxMcwOcPcM4OBqmhWjiWmlfaBxfDUnMiRUml5kHLeAtS4K1gxtteueMoNQ8w4w1mvIEA13hv2bIFLVu2ROfOnXHdddehdevWMBqNLtcRBAEvvPCCIoOk6un35UtEVdF7xpscOGerTzo4tYiOxkOu24lp950oZbxjpO3EDALKTeyuRlRbFtFW9m2QA291M95Gg/KBt9U94w3/1o9LJyWdM94MvP304osvyv//6quvvF6Hk3jw6Pj1S0RV0Psab/n589QD5+wgkA4kLVZHxjtcthOrtJ81YKk5kbIs9iy0lIlWqvzbG7PVKeNtcJwMrC1pzM77ePtTEePe1dz5Mj0KKPA+cuSI0uMgIiIF6b2rOTlwzlaf9D6zOv2fpeZE+iXa+z0YBUEOONU8oWXbusz2f2X38XZf4w1Y/QjqnZuzGQSWmgcUeLds2VLpcVAtMKNDRO7kfbx1+vng2Mc8tOPQAs7Z6qsp4x0epebcx5tIKVKm2Ghw7IGtZsDpkvFWo9Tc4NxczfcPCCnzHmVwrBNXKhsfjgJqrkbaIG2Bp+H5nIhCRJos9f75oPOnT0HinOV2/N/xcy2/DistUsbbvsZbYKk5UW1J76EoQXAEnEHaTsygaFdzyPcpffXn40GqnolyynhbNf2JqC6fM94zZszw644FQcDjjz/u94CIiKj2RLevpC+cs4NLzniLrh3OJVqOYyutXtZ46/2MHVEtOZdoSwGxRcUPAtftxATFHks6gRDtkvH2/b7lExAGgRlv+BF4P/nkk37dMSfx4OH0SETurFZ9Z7wdzeVCOoyQ4ZwdXBa5p4Ij4x0upeaVFtHW+IjN1YgUI30m2AJO+xrvoJWaK1fW7pyxBmyl0n5lvK2evwdmvH2wevVqNcdBtaDXrsVEVDXpU0HLB/ykHs7ZweWt1DxcupqbrKLcWA1gqTmREsxO+187Mr0qBt6iW8ZboYdyDpwBe8bbj080s1Pm3xCE34PW+Rx4Dxo0SM1xUADsJ440PaETUWjIa7xDPI5QEeXnr8/fAOfs4HIpNbf/3xQuGW+riGiDo+UPS82Jas/i1JTMKHfzVu/xXErNDco1V/MMvAPMeAvB+T1oHZurERFFIEdXbx3PcERBIh1I2rqa2/7vGniHYFA+qrRY5Y7mAEvNiZRgcSrRjgpGV3PRrdRcqTXebqXmAvz7PJM+G6Ocurtr+USk2hh4RwAdv36JqArSxKj3jwd+PlIwSAeSVnivNtHy69BrqbmWB0wUBqSTV7ZSc/X38TZb3ffxVu5+AbdS8wCbq0lBJzPeFNZ0/PoloipIJdZ6PX7W6dOmEJGySxarCG8Ne7XcTKjSKrplvLmPN1FtOfbxDtJ2Yu5dzZUuNXfaTsyfe3bOmDPjzcCbiCgiSSfW9TzBAQzAKTikONXWXM3zXqXHwwAAaKVJREFUVaflyu1Ki9VzjbeWB0wUBixeAs6glZoblO9qbmTGWxEMvCMA13ASkTu5uZhOPx70+rwpNOSMt+g9yNbyCbBKlpoTKU4uNTcIckCsbqm5el3NBdgCbqAWzdUMwTkBoXUMvMOYNE3q+PVLRFXgGm8bnpikYLA4VZh4OyjV8qvQ5FFqzow3UW3JpeYCHNtoBW0fb0HR5mpRTifmjILg0jjSl9sDrl3N9fzxwsCbiCgCSfOaXgNPvW4jRqEhZbSdtxNz/XmwR+S7SouIaO7jTaQoi9URcAr2PaxVXePtFCAruSWgxeoaeMcY/Ay87dc1BOkEhNYx8I4A+n35ElFVrFZ97+Mt0fvzV9v777+PVq1aIS4uDhkZGdi0aVOV1/34448xcOBA1K1bF3Xr1sXQoUOrvX44kbcTE6torqbhA81KqxUx3MebSFHua6OjFGx45vXxnALkaD+D42rvV3RsJRbIfUvjElwy3vr9fGHgHQH0mtEioqpJnwpMXJFa5s+fj0mTJmHq1KnYunUrevTogeHDhyM3N9fr9desWYOxY8di9erVWL9+PdLT0zFs2DCcPHkyyCNXnpzxtnpvrqblt6HHdmIsNSeqNSnINsoNz9R7X4miCIsIuXt6jEFApULpdVvg7Pg+xiig0ur7tgdmp3E5Mt6KDC0sMfAOY4L9zazj1y8RVUHeS1inJ+akp63Tpx8UM2bMwL333ovx48ejc+fOmDVrFhISEjB79myv1587dy4efPBB9OzZExdccAE++eQTWK1WrFq1KsgjV550kG3bx9txoCnRchxbaXFb421vzKTXzw4iJVjssan01jKqWGou3a+U8Y4xKpjxdlo7DgAxBoP/GW/BkYkHoNjYwhEDbyKiCCQHnqEdBkWoyspKbNmyBUOHDpUvMxgMGDp0KNavX+/TfZSWlsJkMqFevXpVXqeiogJFRUUu/7RILjW3Z7xjjK6HV1ouray0uq3xtg9dz1kpotqSgstog/INz9yZndaTA7bg2J+sdLX37dZcLdrPbLpFdC2BBxh4aw7XjPlHw/M5EYWIo7laSIcRMqLbV1LW2bNnYbFYkJaW5nJ5WloacnJyfLqPp59+Gk2bNnUJ3t1NmzYNKSkp8r/09PRajVstzs3VLCIQ55by1vLrsNLiucYbUHfrI6JIJwW+0km4KIN6a7wr7On1WPtjxRiVLjV3ynj7mU13vr30OVNpUeakQDjSXODNNWO+k7cTC+koiEiL5H28+QlBGjR9+nTMmzcPixYtQlxcXJXXmzx5MgoLC+V/x48fD+IofScd45qsrgfAgK3EVMsxrMd2YtKew3o9a0ekACk4jXHKeKv1nqqwfwDFGqUAV0ClSqXm0X7et1lkqbkzzQXeXDNGRFR78j7e+p3fAHCdqloaNGgAo9GI06dPu1x++vRpNG7cuNrbvv3225g+fTqWL1+O7t27V3vd2NhYJCcnu/zTIimTJR2QxhldM8jhVWrOjDdRbUkZZ0epuWPdt+KPZXXPeBuUy3iLtd9OzHntuW28+v1s0VTgHYw1Y+GyXswfPLAkIndSpluv8xs/FtUVExOD3r17u5zklk56DxgwoMrbvfnmm3jllVewbNky9OnTJxhDDQrpfSZlnpxLzY2CoOnXY6XFs6s5wMCbqDbkjLfRaY23yhnvGINzxluhNd5W9zXeBpitos+xh9nq6BshZ7x13EBCU4F3MNaMhct6MX/o9+VLRFVxdPXW9yeEzp++qiZNmoSPP/4Yn3/+Ofbu3YsJEyagpKQE48ePBwDceeedmDx5snz9N954Ay+88AJmz56NVq1aIScnBzk5OSguLg7VU1CMnPG2p7Ti7EeaBsF2wK3lFY22UnOnDD1LzYlqTV7jbVB/jbeUQZYz3iru4y2dSPD1/p1LzWNYao6oUA9ASdKasTVr1lS5Zmzy5MmYNGmS/H1RUVFEBN9ERM703lxM7yccgmHMmDE4c+YMpkyZgpycHPTs2RPLli2TT54fO3YMBqemXR9++CEqKytx4403utzP1KlT8eKLLwZz6IrzzHjbnrdRECAIWu9qbmXGm0hh3krN1XpPSc3VpKDY387j1XHfx1t6PpVWETFGX29vu02UfFstn4pUl6YCbyXWjK1cubLaNWOxsbGIjY1VZLxaoeH5nIhCxLGPd4gHEmI6f/qqmzhxIiZOnOj1Z2vWrHH5PisrS/0BhYi0TZBjraXtANMg2EoLtRzDVlq4xptIaV63E1PpLVXp3lzNaFC2uZrbGm/5MaN9u73RnvEWBAHRCmbjw5GmSs25Zsw/UuUHuxYTkTvHPt76/nxg5puCoarmakZBgEEQNP0+rPToam77atbukIk0r9IqwigARinwDsZ2YgZHqblSW3Y5l4oDzp3Jfbv/2u4DHmk0lfEGbGvGxo0bhz59+qBfv36YOXOmx5qxZs2aYdq0aQBsa8amTJmCr7/+Wl4zBgBJSUlISkoK2fMIJh5XEpE76WNBryeWdfq0KUSk91mll1JzQzhsJ8Z9vIkUZXLfLUAQ1Cs1d2vkFmNUdjsxo8sab/te3D7ef6VFlDPxgLLrz8OR5gJvrhkjIqo9Ueel5nKpfYjHQfogZbIq3JqrCQIgQNuBd6XF6hEgAAy8iWqj0mJ1aVpoNEDFUnO37cQU3MfbvSLG3wZpFRary4k9f/cBjzSaC7wBrhnzl35fvkRUFb2Xmuv1hAOFhtmt1DzWfnBqAMKv1FzKePNNRBSwSqvrNn1qrm322E7M6NjyS3DKVgei3GyVK3gAp+ZqPp5FqLS6ZbyNBp/L1CORptZ4k38E2F7InBuJyJ00v+v180Hu6q7T50/BJWWH5VJzp4x3eJSaewbeei4HJaot91LzGIN6AaejqaMj4y2NobYqLK6Bt3SSztfO5LaMN9d4Sxh4ExFFICnDptfpTcvbN1HkkY4j5VJzo7SPt/a3E6twK4llqTlR7VVaXCtJ1Aw4Kzy6mju2/Kqtcrc12glRtj3Eysy+Bd62jLdrxlzPJ/UYeEcALZewEVFoSMf5Wj7gV5Oj1J5IfXLGW+5q7lRqDkGzlRcmixUWEYg3srkakZJMVte1zTFG9QJO9z3Do+2Pq0SgX2GxyhU8AJBg/3+pj4F3hcVzjbie13gz8I4AWp3QiSh09F5qrdcTDhQanoG3I+NtEACtrmgss2fo46O8BN58DxEFrNKj1Fy9gLPCaivnltZzy3ttK1DaXu5Wai4F3iUmHzPeFqtrxlvFExDhgIE3EVEE0ntXb8eJB73+BiiYpCBVCsBj5cAbmi41Lze7ZugBp328dXxwTFRb3kvNVVrj7Z5VNvrXAK06FR6l5v5nvGPdTkBUqPR7CAcMvCOARudzIgohudRapx8QOn3aFCIWtxecVJppEARNl5pXm/Fm4E0UMPeu5rZu3mqt8XbNKivZXK2qjHep2eLT7Sutrj0k4qMMKGfgTeFI2iGAa7yJyJ3o9lVv9J7xp+ByT/7Ia7ylruYhGJMvys2uzeAA51LzkAyJKCKUmi1yIzJA3f2r3bPSUqCrRGbZ/b6jjQZEGwT/Mt5Ot483GnxuzBaJGHgTEUUgKdOt1Uyb2nT6tClE3LPD8VHOpeaCZkvNvWW8o5nxJqq1UrNVzg4D9jXeKnU1r3Rr5CadSCtX4PHcM96ALevt8xpvt8x/fBQDbwpzGp3PiSiEnI+Z9Vhu7ii1D+04SB/cS83rRDsyXQZodx9vrxlvgc3ViGqrzGx1OaEVo+I2WqVujyVV3ChR0l1u9h54+57xdi2DT4gy+nzbSMTAOwJwaiQid85LUPR4/KzVDCNFJrNVhOD0fZOEGABAqckKg6Ddebq6Nd4mlbJzRHrgnvGONhoU6TLuTYnJisQo13XUgOPEWm1UWF1LxQEgMdro8xpv9+3E4qMM8ueOHjHwDmPyGm/OjUTkxvlzQY8fEdzHm4LJLLoenLasYwu8K60iDFouNfeS8VZyKyIivQpmqXmJ2YLEaG+l5rV7D1usIsxW0SVjDfiX8a60WBFrcD0pwFJzIiKKKM7Tuy5LzUM9ANIVs1V06dybFh8NABjVqi4EaLjU3B4IuGe8DYIy60OJ9CqYpea2jLdjeYu0q0Jt38NSZtr5BIL0fYmvpeZWt4y3UWDgTeGNXc2JyJ3eM95yV3MdnnSg4LOIjiyTUbCVlR67oxdmD2kLgyBo9j3oyHg7DowFQUCc0aDrvXaJasuj1FzFruYlZiuSvGW8axnglphs5eSJTj0rgAAy3m7biXGNN4U1HlcSkTvn0latlrmqSYdPmULIbBWRGmM7OJUOMtOTYhFlEGA0aLdDuFSKGueW0Yoz6nuvXaLasgXejoA1xmhApUrvqRKTxSU4lpa91HYttRQgu2e8E6OMKPWhq7nFKsIiwmUZTkKUkRlvIiKKLC4Zb20e86tKqgTS4VOnILOKtldbaqwUeLs2IopWscS0tsrMVsQYBBgE1zHHGgWUcyNvooAFtdTc7NpczSAIiDEItT55Jm0Zluheah5t8Km5mpThj3Ff463jk3oMvCMAp0YicidCdDRgDO1QQkKjcQ5FICmbnRob5fXnMQYDTBptVFZucQ0OJCw1JwqcKIooNVuCVmpe7JbxBmxVLLUtNZcz3tGBNVeTPkNiXdZ4G1BhEXVZiQcw8A5r0suYaxiJyJ0oQs5i6fEjQnrOFkbgpDLpYLq+PfAW4Jo9VrObcW2VedmjF7AftDPwJgqIyV5inRDl2c1bjWN29+3EAGm5SO0eq8Se1XZu3Ab43lxNCrylnRIARyNHvZabM/AmIopAVtHW5AnQZwNG6Tkz8Ca1SQeXDeydzN0zOTFG9TJdtVV1xltgV3OiAElBpfN7q060ESKgeGMxURSRV2FGvTjXipv4qNqXmle9xtu3jLd0HedsfAIDbwp3nBqJyJ0IEUb7WWaNHvOrSnrOWm1qRZFDyma3qRMLACiodF37GGMwaDzjLXhcHstSc6KAlXgJWOvYmy+eN9W8Ntof500WmKwiGrgH3sbadw+vKvBOiDL6tMbb2xpxOeOt088XBt4RQI9lpERUPddSc/19SEjP2aLD507BJQWo7VPjvP7clvHW5kGmewMoCbuaEwWu0H7yLSXGkemtY18nfb5S2cD7bLkZANAgLtrl8joxxlo/lrSdmLd9vH3pau5tjThLzSlsCdJBdYjHQUTaIwIw6Li5mvScmfEmtVXYs9l17OWUFzVOcvm5mt2Ma6vcInpf482u5kQBy6+wBcN1nRouOjLeygac5+yBd323jHdytBFFtcyul5qtiDYIiDZ6djX3ZY23lBV33lYt3n5fet3L23sLTiIiCmuiKOq6uZq0tptrvEltFVZH597jd/TyyDxFa7m5WlVrvKMM8vMiIv8U2APv1BinwDtanVLzs2UmAPAoNVcm4+3ZtA2wlY6brCJMFqtHUO5yey+l6lzjTWFPj2WkRFQ9qwh5jbcePyK4xpuCRQqqY40GNE+KRZzbgWqM0aDZUvPyKrqaxxsN8vpMIvJPQYUt4K0b61xqbg+8VSo1r+92wi852oiiWj5WqdnqsZUY4Mhg15S19rbGO9F+f8UKn4AIFwy8IwAPK4nInQjAKEjN1fT3KSFluhl4k9qkUnPnLXOcxai4f29tlVm8B96psVEorDSHYERE4S+/0oxog+BSTZJsLzWvbTDs7ly5GQlRBo/KlToxtS81LzJZkOS2lRgApNpPKLg3knSXV2GGQXCU2QNAir0KoFDh30O4YOBNRBSBbKXm9v+HdighIZ1sYKk5qU1qrhZbRclljFG7peYlJiuSvGS0UmOMctaOiPxzrtyMerFRci8mwFZiHWsUcK5C2RNaZ8vNHmXmgC3jXdvsel652WPtOOBYT55XXv1zOVduRv3YKHnZG6DeCYhwwcA7jEkHljpMZhFRDWzN1fTb1VzqZs6MN6mt3OJY4+2NljPe500Wl2yUJDU2CgXMeBMF5HhxJdKTYlwuEwQBDeKi5TXZSjlbbvIaHNeLi8KZclPAFW9WUcTSo/kuDeLk+7ZfVtNJhHNexhZlEJAYZWDGm8KPlMnR40E1EVXPYhURZdDvzgfSTkgMvEltUrOkZC8BLGBb423S6Brv85UWee2ps9RYIworLbpcpkJUW0fPV6BFUqzH5Q3jo+Q12UrJLTN5NHQEgB71E1BssuJAQXlA9/vrsQKcKTdjzakij59JgXdNGe/Mogqke/k9pMQadbuUhYF3GGMJJRFVxWQREWNf86XHY2eWmlOwnK+0BdVJXgJYwJ7x1mip+XlTFYF3TBSson4bIBHVxqmSSjRzy3gDtr22z5Yrm/E+XFSBNsmewW2vBokAgF15pQHdb3apbZwfXtra42fJMUYYBdsa7urszi9Dl3rxHpenxESx1JzCjzSPa3M6J6JQMltFxBjZXI0Zb1JbkcmCpGiDyzpGZzHG8Cs1r2cvDz2ncHaOSA+yS01okuCZhW4QF4UzZcq9p0RRxKHCcrRPifP4Wb24KBgF4EyApe05pSY0iIvCnR0bevxMEATUi42qNuMtiiKOFHkfW2qMscagPVIx8A5jXONNRFUxWa2IsTd70uNHhLTGW6slvhQ5qirXlkQbDHIDNi0xWayosIhem6tJQYOU9SIi31RYrMirMFcZeCtZap5dakKp2eo1uDXY15SfcXq893bm4Il1R306IZ1TZkJjL89BUi8uqto13udNFlhEeF1/3iE1Dnvyy2ocQyRi4B3G5DXeIR4HEWmP2SLKgbceM97ScUU59yImlRWZLFWu7waAOKMgbzmmJcX2PXi9nTRommgrkz1VUhnUMRGFuxz7yaomCeqXmh8stK3fbp/qWc4N2NaU59oz3p/sycUjf2Zhxo5s/HaysNr7feTPLLy3MweNvTwHSU0Z73x5L3PPwLtXg0TsOFuqy4o0Bt5hjGsXiagqJquIeHsmy6zBg361SZ+PpVyjSiqrKeMdH2WAySpq7iBTWmPp7aRBqv2ybw+fC+qYiMKddLKqSaJntlhqrqZUU+SDBeUQAK9rvAGgUXw0zpSZcLK4Evf+nilfvreabLMoinhvZw4A1Jjxrq5cXArKvQXeHVLiUGkVdXlij4F3GLPIpebamsyJKPTMVisS7MGAVhs7qckqikiINjLwJtXVlPFOsDc5LDNrq/pCWr/trRRUEAR0rReP7zLzeIxB5AcpmGyW6D3jbbKK8k4ItfVPXila1olFrNF7OGcLvM3ILHJ0No8yCDhWXHXAW+L0OdUovprAu8aMd9WBd8s6thMFR89XVHn7SMXAO4xZ2VyNiKpgsohy4K23dc6iKMIqAkmxRpRW6uu5U/CdKzd7DV4l8UZtBt5Syau3rYgA4LkLm8EiAsVcrkHks1OlJsQYBHnLLWcN7J8TR4oqUFnLvg8FFWZ8vv8MbmxTr8rrNIqPRm6ZCZlFjgA3o1FStZlm52ZsRu/9IgHYTtgdOV9RZfWtI/D2PCkpBd5ZDLwpnLDUnIiqYraKSLBn4So1dsCvNumjMSmGGW9S39ly7/voSuKljLeGGqz9lX0en+07A8ARDLhrYs/YZZfqrxyUKFBbzhSjTXIsBC+7HDSIt73Xen67EzcvPxjwY1y/bD+uW3YApWYrJvVoUuX10uKjsTu/DL8cLwAATMtIR6s6sdUG3tKa8M514/Fwt8ZVXi8xyoiTJZV4fN1Rl8unbz2JL/afQU6ZCVEGwWvGOzHaiIZxUfIadT1h4B3GLOxqTkRVMFmsThlvfX1ISM3k6sRGoYyBN6nsbJm5yuAVABKibO/DUg2dALtk8W7MO3QOKTFGJFaxPr1xPDubE3lzsKAMy44VuFxWYrJg7akifL7/LLrWS/B6uzbJju7jS7LyUR7AZ0JhhRmLjuRjzakitEuOlU+QeTPOvhXY/EPncHmzZDxzYTOkJ8XgUFG5yxKSEqd5UtrubMU1nZCe5H3tOABc2rQOAGDxkTyXyydvPI5xvx3GyeJKNE2IrnKbxUFNk7HyRPVN3iIRA+8w5ig119dBNRHVzGx1KjXX2RpvqRooKSYKpSYL16iSakRRtGe8qyk119gab+dquer2F5eaQ2XrsAESUXXG/XYYI5fuc9kx5MJvd+LSJXsAAO9c1NLr7ZKijbi1fX1c3NgWtG45U+LX4x4qLMfwn/bJ37eqU3VgDADNkmIwuVdTAEAX+8mAy5un4FSJCQ/8cQQA8Nm+XCR9shnPbDgGwFHhUt1nGgAMS0/F1D7N5MaRfRbuxH92ZMs/35NfhrbJntucSfqnJWH7uVLdVe8y8A5j0jkkrXVKJaLQslpta5ylUvPXVh8O8YiCyyJnvI2wiqj1WjqiqhSbrCi3iD6VmpeatVF9ccqpdLy6kwF1oo1IiDLI2yMRkc3608UAgOwSEyotVty28iAO2MumR7euixbVBMRzh7bHyms6AbBVnqy2b+1V4NYh3GwVPbYC/WBXDjbmFsvfV9f8THJf50ZoFB+Nm9vWBwAMbpqMlnVi8L89ucgtNWHJkXwAwBz70pP7frcF5DFVNGxz1rJOLHJKTfjjVBG2nCnBJKey85UnCnFZ8+Qqb3thw0SUma3YX6Cv/bwZeIcxgz3yrjQz8CYiB6mZWoJ9O7Ff9p8J5XCCTjoXWce+towN1kgtx4ptzYFa1Km63FNLXc3/OVeC7WdLAQDtUuLwv0Gtq7yuIAhonBCt6hrvs2Um3LrioEfQQeGr2GTB8J/24lCErd89UFCGCb9nosJilY+/lx7LR51PNuPrg7Zt957v3QwfDKz6PSWJizIgyn4nP2blY8fZEtSd/Te+OXgWgK2S5pJFuzFw8W4cKiyHyWJFm6+24T//5Ljcjy/LV1olx+H0Xb1xcRNblj3KIGDrjd0RaxQwZ/8ZnLav6S6sNCPXfpLtEntGviYt7KXoy+xryJ2VmK3o1yipytv2bJAIABj20z5sP+tf5j+cMfAOY1LjBr11LCai6klVMI3sk2KzKvb4jFTSvuVJ9ox/iYkH9aSOY/auvC2qWQspdTVXa4336dJKpM3ZUu3evICt90GPBTsx6pf9AIDtN3XDvZ3Tqr1Nm+Q4/Hi0QLXlGgsz8/DNoXMY8P0uzNp9ulb3lV9hxr/XHUWFxYrskkqPbCEFZtPpYjz6Z5bPr4HfThRi+fFCvPtPds1XrkaJyYJNp4trvmKQfLQnF7P25OL7zDzE2d/T9/9+RF6uEW0Q8Eq/9GrXXDv7/drOMArA6TIT1pwqAgD8d1cOzFYR286WYmNuMdblFKP919vxv725OOLUAfzDS1tjcNNkTOnTPKDnUi8uCte1roenNxzDhtPFGNikDsotIkYutZWxfzW0nU/3k55ke65vbc/2upd4tyrWugOObcZOllTiAXuWXQ8YeIcxaVJhGSUROZPWdNeNj8JFLVMxtF2DEI8ouMrsJb31EmwHBS+v0lepPVXtZHGlokHkseJKGASgaTUH21LliVoZ7zWnipBbZsL8Q2eRV27GX9nnvTZtct+6p6qmas7u7dQIe/PLVGuwdtK+fnxfQTkm/OF58P1ndhFe33Kyxvv59VgBLv9hD97ekY3Gc7ag6Rdb8ea2UwGPa3deKbb5uf42Uo377RD+b2eO3O26Jj8dLVDkcR//6ygyvt+F85XKLNEoN1vx9PqjKAywumJXnq1SZPvZEpSarehR3zWoXHNtZ7/u76LGdXBj2/rILjHJ3b3X5RTjg1052Hmu1OW6Cw6dk/8/pXczPNAlDauv7Yxu9asObGvyZE9HN/TRrW1bkm09W4LeDRPl7b5q0iTB8bnX3O0zsHv9hBpPQozraDs2kaqC9EA/zzQCSQ0JWGpONfliy0kM/3RzqIdBQSIddMdHG1EnNgpFOivjnGM/UE9PsTV22XJSf51Tg+X9999Hq1atEBcXh4yMDGzatKna63/77be44IILEBcXh27duuHnn39WbCwWqyjvHevNu/9ko/mXW/FDVr5ij5l1vgLNEmPkslFv5H28VTpJvifPlul+6e+TGLl0Ly5ZvBvxH2+C8OEGvLHtJP635zSEDzfgbqdeD30aJvp0393tB/YHvKzD3H62BIe9lBP/eqwAR4p8KzOWghnJEbduy5f9sBfPbTpebQOmSosVI5buwzZ7CX2BPVCbvPG4x7ZJoii6dHB2V2qy4EyZCV3n/4MLF+706TnUliiKmLMvF69tOYn3d+XUfAM/ma0iNp4+H/DtK+wncg8X1bznsiiK+C4zz+frV+fvM7Zst1Il67+dLMSb27Pxng+/4zKzVS673nG2BPvzy7DBnn3fnGs7ITO0eQoA23tJnNAfF/lYnu0sLT4aJ0sq8f4uR7XHnznn8Ud2EVrWicGj9u28/sh2/P26VJNF9kfvhkm4wv4cejVIgOn+DGTe1hMbru/q833UiXGcvLOIwM1tbQG8+f4M7Li5e423/3hQG4xuXRd5FWaIooitZ0oivhkqA+8wJYqivI6RpeZUk3Hf/oPl9rVDZFNYHrkNg0rtB55xUQZsOFaARbUs4Qw3z/16AADQv0UqAGB0DeW0FJj58+dj0qRJmDp1KrZu3YoePXpg+PDhyM3N9Xr9devWYezYsbjnnnuwbds2jB49GqNHj8auXbsUGc8F83ag3uy/8d+dOSj2ElzNtX8G+ttJuCoWq4glWfnVllMCgNEgINogVFtqXmqyoNe3/+Cfc1WPbcXxAnktdGZROe5bk4lKixU7nYLXTbmut39mw3Hcby/j/P2U7eB9TLv62HSDbwfXbZNjEWUQsOJEIf44VYT99nJ2URTR69ud6DRvh3zdDTnnUVhhxoil+9Bn4S78dqIQM3Zke1TlVVisuG7ZfsT9byOWHy9Eh5Q4uUlUm7nbEf3RRjnQls5nHC32HsSJoog7f/OsaPn8srYAgD/sJbySt7dnI+mTzajwchJk/qGzSPxkMxrN2eIy1kCVm60+Nb89WFiO8asz8fym45i4Ngs5pZWKdnqe+U82+n+/Gwe9nDw5V27CXb8dwqHCctyy4iDOeMlqSyeVfGmClXW+AnkVZlyQGuf1pIzH9YvKPZYFbMg5j7WnirDH/lqTKjXKzFaflg+cLK70yBgDkO9POjEg2ZtfhltXHERuqQl788uw+EgeRi7di7TPt2BPXil6frsTF8zbgaJKCxrGRWGz/YSAFLRe2rTqBmI1SYuPlpuyXd+6Hq5qmYq12efx+f4zeKhLY7yakS5fd5B9+65eDZQJvAHg0e62wL5rvQREGQS0To6r9iSiN3+O7gIAeKZXU/xvUBvsu6UHjD7eR7TRgAsbJCK71IQVJwrRe+FOfLr3jFwd9GNWPqZuOi5fP9hBeZnZqvhyBwbeYcplOxCdbRVE/vPzczTi/ZGZh9QXV2JrhGZCP95sm6jOV1hwub2TqR7FGAUkRBvxp4IZTnKYMWMG7r33XowfPx6dO3fGrFmzkJCQgNmzZ3u9/rvvvosRI0bg3//+Nzp16oRXXnkFF154If773//WeiwlJoucGXv4zyxM2XQcd/12yOXgP9OegXt7h39rT00WK97adgpFla7Z9I25xdibX4ZRrerWeB8JUQaUmKoO4jbmFmP72VK8+08ORFHEa1tOYov9AP/P7CJsyDmPYT/tk7PWM3Zk4+O9uVhzqggHC8tRN7bmsnEAGJ6egnlXtJd7xNQk2mhAh5Q4vL71FAYt2YML5u1A66+24dfjts9Ok1VEudmKQ4XlGLBoNx7+MwsAkFdhxuU/7sUT647iR7f33z2rM7H4SD4qLCJKzVa8npGO7HEXoo699N0iQs4uJtr3QL9+2QFc/fM+FNozY5I1p4ow/9A5XN0y1eUxbmxTD63rxOKLA2cx6uf9+HBXDu5YdQhP2bdM8pZF9Vbqvq+GdfMAsPx4AdrO3YaDBWW48dcDOFxYjj+zi9BjwT/ovuAf+XqVFiuyvFQCLHLbB7nJ51vxnFOwIdmTV4rP9uX6HZQfsb/uO3yzA7udTtKcKK7AB7tO4/P9Z9Hr238w/9A5PLX+GCxWEXesOiTvsSwF4956CPydW+zynH6x7209pl19HCgsr7Zp3neHz6H13O1o+sVWDFq8B5tzi/FTVj4GLNqNS5fskTPtf+acxwe7ctDws79x068Hq7y/P7OLkFduxvjVh9F9wT8orDCjwWd/Y/CS3RBFUW4quP1sKUxOJ1Te2X4K3xw6h7TPt6DzvB24btkB+STVlT/vc3mM69rUQ7H9fdyrQSJWj+qEaU7Bsb/SEhxdyecObYfBTZORU2qCRQRu69AASU7LQV7PaIGDt/ZE+9T4gB/P3VUt68LyQAYa+tAdvSoXN6kDcUJ/XN2qLlJio9Cxrn/ja5IQgzNlJvxlz+rf+3sm7vrtEERRxKhf9uPlLSeRV27Gl/vPoNO8HS5LBZQKxNeeKvLax+CDXTnI+H4X0r/Yiq0KnbBl4B2mLE4vDhPXeBP5ZZs9C7I3VzuNW5xVmC14f/3RgCcV6cCsX3oKBtgPSOf7GWwE20EVuppGGw0oNVmw/OBZjP5iC05GWJfdUKqsrMSWLVswdOhQ+TKDwYChQ4di/fr1Xm+zfv16l+sDwPDhw6u8vj9m73Pt3L/mVBE+338WT2+wBRKbThfjXLntgK3MbK02oFqUmYctZxwBxdyDZ/HUhmN4w23N8K68UhgEYFzHhjWOr1F8NHLLTPh0by6EDzdg9l5HVYBVFPHS3yfk75cfL8Tzm47jpl8P4p9zJRi4eA8GLNptf0zbuKUD8sVH8nG4qAJTejfHnCFtMbhpMor/1ReAo0wcsG0pBMBjXaovLnYroc06X+FStj7v0Flcutg2vi8PeFZWOTeFEkUR8w+fc/n5wCbJMAgCcsZdiO+GdwAArMuxHYRLGc4d50qx9GgBUmf/jYlrswAAs3afxmU/7IVRABaP6Iis23uhZZ0YtKoTi4RoIzLSkvDLsQL8eDQfD67NwldOYzviVAZtFUUsysxDfoWjSuLlvramVVvPliDTKbDMKzfj9S0nUWyyILfUhE7fbMfwn/Yhs6gCHb7Zge8y89Du6+0YuHgPDhSWY29+GY4XV6DSYsXEtVloPXe7XP5earLghU3H8cwGW5D9jH2/ZQD4eE+u/Pv6+sBZfHv4HLrM/wd3r87EVwfOwmSx4uqf92GN08nj3XmlqPPJJpfX9sGCMvyZ4yhTlraOAoDO8/7BlM22150UTGYWleNwUTm+OnAWY5YfRFGlWS7d/8dLFrnvd7vQeu52/H6qCLvzSjFxbRb6pyWhf5rtNVN39t/4wsuuGqIo4t/rj8nf/5lzHv2+24Vr7I3/JAlRBszYkY2H1mahxGzF90fyYLJYce0v+/Gt/XWUXVKJ9vbf+eN/ZWGF/YTBgsPncK7cjN9Pncf+gnJsP1uC9vblR1KW2SqKLttzOXuwSxqOnnddqtC3oaNLd8P4KAxuluLTtltVcT5hFBdlkJs0NkuMkftGdLIHst3rJ6BdStX7YgfK4ONJOLU0SYyGCOBlp14OCw7nuXym37smE3f+dhj7C8qxz155kVlUjrqz/8af2UWwiiKyS3zffcH92OrWld77GEgna0+UVOL/dipzDMXAO0CzNhxDxvvrQvb4zuVL648VYE8t1u/468CZEnR4+3fknK/d+h0tyfQyoWiV1SqivJo1at5I2Q2z20kaURRrfcbQ19ubLFa8uuoQKjSwl60I25h9zfoE2//9dRQTl+zBmsw8iKLod4ajbnw0GiRGo2lyHIrswcYt32xHSaX21npf98VWTPppLzq8/QcW16Ikfs/p82jz5hoUO50N75LmOEhasicX//55H26btx1zt9XcrMmbrScLsZJLNgAAZ8+ehcViQVqaaxl/WloacnK8r6HMycnx6/oAUFFRgaKiIpd/AHDXqkP4O7cYH+0+jc/25eIRe6Z17WhbgyNpva9RsJWWZnxvK2eff0V7AMCVS/fhumX7sfpkIU44lTFnl1Ti+l8PoM9CW0Axc0e2nMV7fespOYNXUGHG/b8fQXpSDOJ8aAzULDEG8w+dw7/WZAIA7rF//edcCeL+t0nOsO3OK8MCe0BRWGlBjwWu64wPFpZj/G+H5bXRH+4+jTKzFR1T4zDugoZYfW1nJEYb8c3Qdvj16gvQpW48rmqZKm/r06O+b2u7nQ1pZiul7V4/AUX39MWAtCRkl5pwebNk9GyQgH+vP+bSfM0o2Mpw7+/cCJ3qxsuNowBgyuYTLscvRgFoZM/6JUQbcX2behjSNBmz9+Vi+taTKKi0eAT+H+w+jT9OFeFT+8mL1NgoGA0CWtaJxc6be2CzvYy+uq2MnE8G/JCVj+vty1NGtaqLM3f1xgt9mqNJQjSeWHcUbedux9wDZ5FVVI43t5/Cc5uOo84nm/H3mWLsK6j5ZF6LL7ch9n+b8LF9vM2+2IrvDp/DsxuP41V7sPHWgBZ4oIvjvZFXYYZVFDH/0DnctuoQbl7uyPTetfowhvywF0uPFuDRv2wnaP/vn2x8l5mHYpMVf2Tb3iPnKy3o8M0O/HOuFHd1bIhBTevglS0n8PLfJ7DjbAnOezmOOF5cib/tyxXyKsxy4Dk8PQWbc0uQXVIprxd3buA3eMkedJ3/D0QAv1x1gUuAOO63wzhbZkJ+hRnTt56E2SpiX0E5jpyvwC9XXYCCu/t4jOOalnVx7I5eXpdnPLfpOH7IysfNyw/CKor44sAZuYJhjdPSgvd2nkaDuCjERxnw7eFz2FdQhrHtbBVg3eb/g+PFFbhndSZ25ZXh+d7N8MVlbfHWgBaY2qcZLA9kYObFLeX7erhbYxTd0xc3tq2HOzo0wNHbeyly/JCWEIPdY7rj4K09AQAt7dsSOvdg+Pyytvh6aDuX7HckaeyU9f9oUGu8a/+9P2HfE9wgAN87VYWcKjGhoMKMG389gMJKCwYu3oNhP+5F0y+2YkcNJ/B/P1WENScLYZi1EXP2OU5+SluqZRZVYNe5UpSYLFifcx4fOB2TKHWCQpOBdyiatZyxT7yiKOLyjzdhqdMf5Nt/slHm9gE1YfFubDpeiDWHz+H3TNeztwDw6A978Mmm4zhXUom3/8isMTgRRREfrD/qctBYneedym1+PXAWXf7zJ0RRhPDML+g+80+P63+w/mi1gfJHG4/5HLx/uzMbB8+WyllDX3y+5QTWHXWcaS1161K58ViBSzB5vsKMb7afwvQ1h/HB+qMe93f4XAn+yXZ9fFEUUVRuQl5pJQZ8sB5zt52U/67u9p9xnOFcsvs02r71O7ac8K/s+Gh+GZbZz+QeOFOC9UerL2d9YfkB3PL1dvn7XTnnYfUjoLJabUFynakrEP/Cco+f78stxocbbL+rE4VlEEURlWYr8pzWi5WbrVh3NB+V9snMMHkZRn+xVb6PgjITHvlhD7KLyl3+Rpd/vAktp692ebyZfx7B2iN5MExeVuVzz3Iqa/tq2ym8sOIgPvvbEfT4ErT/lZWPgbM2VHndc/aznFLlx9aThbh6zt+IfW4ZzBary+taFEWYLVZId+WtBH9XznmMW/CPx9/m3T+zqswaW6winvv1APKc9rvNLirHtNWHfXqOVquIJbtPQxRFnK8w45T9LOvSfWcwYvbfaPb6b1i0Kwf5PnQWLjdZ8OuBsyi3ZzCc1ygmTVnhcf2zJZUoqTTjiy0nkW3P7IiiiB/2nK5y7E1f+w3/91eWx+U7ThXhsJc1qttOFmL6msPo7+Vk5eI9p/Efe9Dk/p529tnfJ9DDy2cbYPubT1q6D0fyyjDbKXPofmD0zY5sfL09G7fP/wcNXl6JHjP/xEUfrMeCf7JRWG5C4gvLITzzi8fzPl9hRn6pCb3fW4cr/GhSqEYWX2+mTZuGlJQU+V96uq2sc9GRfPT9bhce+OMI7l5tC2JbJMXgkibJcqdcwJY5uWeNIzt7WbNktEiKwZHzFVh8JB+X/bAX6V9uw+qThSisMOOKH/e6PP7j645id54jg9ju6+0QPtwgB0LF1ZSPO2uTHIsTbhmZUT/vR48FO2Gyf9Z0qhuPnXml2H62FHFGAXn24wH3jr9z9p/B0qMFqB8XJV/Wo4FrQH1L+wZonBCD7Td3x48jO+LmtvUxvX86rmtTz6fxuoyzVV3c0q4+frnqAtSJMcpZwyHNUnDPBY1wttz1uCXGaMDyazph1qA26FI3HgedgtPXt9o+/2/v0AAHxvbAtps8GzDd06kR9hWUY/JGWyb4smaONbRG+1t60JI9+Nte+nnO6fHrxBjRwF426x6wt3Taa/1IUTlOl1ai1GSR1y5vvbEbFo/oIN/+4W6N5Sx4ZlE5+n63y6Xq4aqfHdnZhnFRSIkxIv/uPvhsSBsU3tMHR2/vVcVvFLhx+UG8u9NxwunJnk3RNMG13PeRP7MwduUh+fux7erj9g621/Zf9iz2yZJKZJea8OhfRzHVnr0+dr4SCw6dQ2+n5nAZaUm4tlU9lFtETN18Aj2/dfzMuQriyPkK3LbK8ZhLsmwBz9UtbQ2w+n63C/2/3w2rKCLpE+/H5qmxUWiXEod5V7TDlN7NANhes5/tO4PJG49jxfECPG//2w5IS0JKbBRWj+ok314A8M0V7ZCeFItv7NtaDU9PkX/+1nbHPDx96yl8Y99Du2+jRBwrdrzHduaVYnh6Ki5vlow3tp2CRQSubJmKjEZJEGE7ITLHfgz3SLfGuKNjQzzZsyle7JsOgyAg2mjAvZ0aoWWdGMy8uCXqxBiRGhuFLy5vhxY+dv32Red6jkz2hQ0S8UyvpnjnIkfQ37dREsa2j9ydSdITHb/L61vXw/32E1CFlRY82CXN4/NvbXYRXt1yUj65CgCrTtqOHb6xd38vNllw56pDuG3lQbxiPyYoM1sxeMkeDPnB9hn/6d4zOFlciTNlJkTbDwa3nClBtwX/YPCSPXhtq+sJ+gMF5cgsKsfn+zwrOPwRVfNVgktq1jJr1ixkZGRg5syZGD58OPbv349GjRp5XF9q1jJt2jRcffXV+PrrrzF69Ghs3boVXbv63pnv0o824od7B6LPf20Hhr8dPodtj1yMxBgjbrYHS4vuuBDjv/0HA1s7Jq4hH9s+eFbc0xeLdp/GkLb18ObvR7DZHsStP1aA2X+fwLZTRXj7ygvQJNlxFlAURdy9cCeu6dQIlRYrHlqyBz/tO4N7+zbHU7/sx/ZHL0ZiTBQ+WH8U8dFG3L1wJ1bc0xcNE2Mw08tB76UfbQQA7Mw5j8+3nMATS/fh17v7QgTw0JI9eGjJHlinjYAgCDhTXIGpKw/hnj7NUWqy4IFFu1E3Phqnn78MfxzJQ+dGSYgxGtB15p+4q3czvD68A8Yt+AdXXdAIz9sPOK787G8UvXQFvtuZg+YpcRjQMhWbjxdiyMebsPvxS9C2fgKW7MnFL/vPyF2GxekjcaKwDOnT1gAAUuOi8Pxl7fCkfR2NOH0k9uYWo/OMtS7PrXGdWFzftTHKTRaXoHP/E5eiqMKM2CgD1h3NxwP2cjwA2HCsAN0b18HHN3TF7fN34Oe7+mDamkz0apqMh3/Ygz8f6A+z1YrRX9oCz+OF5ejdPAUL/slGjyZ1cKKwHOuO2u4jv8yE23s1xad/n4AAYFTnNFz04XqcKqrA8A4N8Ku9hE2cPlJ+/OUHzqCk0oKtp4qw6Xih3Nxs1eGzSIqJQlZ+GV4d1h7PXdYOu3LOIzHGiJ7v/oUV/+qLfumptjEVlOH+RbvxwmVtcdGHG1x+J8Izv+DwvwehaXIsdp8ull+79eJjcMs329G/RSo22DM1kjpTbYFXi9Q4TL3cNqH9sDcXVqsIg0HAu39l4b11R/Ge/UzjxocG4NEf98r38/O+XIzs2BBlJise/8mx9umHvbm4sFkyisrNiI82YtyCf3A4rxQ7ss9j+ogO6Na4Du62HwRMWLwbGekpOFZQjtFfbkXu85ehob286sCZEtw4dxsW3NoTP+8/gyeW7kN8tAFlJit+3JuLUZ3T8M32U1iyJxcxRgFf1rBdTPRzvwIA3hzZETd0bYy7F+7E70fy8M5VFwAAxn6zA7f0aOpym6krDuL73acxfUQH5JyvQMeGSYiPNuCxn2wf1ttOFeHazo3w5bZTePySVmjfIBH/ZBfh9dWHUVBmwrvXdEKU0YBm01ZDFIH7+qWjfmIMlh84A5NVRI8mdWC2iGhlb8j0yqpDmLPlBDLzynB9lzR873SG9Z21jjWH13+1DX2ap2D/mWI8MbA1NhwrwBc3d8fP+89gVKc0bDxegJGf/e3xO7isbX286bRHpvDML2iQGI3pIzri9l5N0fCVVeialoRdp4tRJ9aIBbf2QqnJghu+2oZ+6SkY1r4BnhjYGicKy3G8sBxvrMlE9vkK/PvnfXhv3VEcOleKV65oj3fWHkGB/QD48L8H4WRRufxZeeF7joD75325uGrOFpybcrlHiZ4UKH+w/ijOllRiylBbdvLr7afk148oivL1ftxzGmariOu/2ibfx6NugVNijBElXrajOVdqwjn7iYz1TifEANtnR2KMEZUWEX2ap6DzjLU44ZS1+2D9UUQZBFzcqi7+szYLb4zsCIMgoK79wPmLLScx7lvb2s6ld/XGwNb1UGm2orDcjMy8UhwvLEe52YIJ/VviuA8Ni7SoQYMGMBqNOH3atUrh9OnTaNy4sdfbNG7c2K/rA8DkyZMxadIk+fuioiI5+Ha3b2xPAEDP+on4HI7KhGKTFe1S4vDzlR3RID4anerGuxygA7bu2c76NLQdxOeWmbDbqXRXCvLkclZ7Br0mvRsmyqWT4zo2wOf7z+JH+wnL29o3wFdD22HF8QIM+2kftp4twXWt62KRvSz4wNie+PV4AQY0roMhS/bI2Znh6Sn4+uA5pCfFVLmdmdQoqU6MEU/3aubTWN0lRhvxjdPz7GBfYzqoaR2XLNCJOy5E8y+3YmCTOk7XjcMX+21/i7+yz8MgCLCKIs5XWqpcq9q3ketJhBEtUvHKlpNonhiDxSM7oM9C12Z8V9qbKHq7nw3Xd0H/723HBcuu6oTCSjOmbD6BI+cr0HneP+iYGoemiTHoVi8Bvdw6vV/odDLjREmlywmGy5slywf7ALBkZEf0bpiIGKMBd11gO1ZNjolCrwYJ2Ha2FK/0a47BTZPRu2ESei74Ry51vq51XXwy2NYILtrt89C50zVg+102TohxKZk/V272WJvuHjA8e2FTeanBpHWuiYzPhrTBnR0b4p3t2WgYH4Xx9pNYj3ZrjHd35uCFTScQbRCQYa8ekrZ/++rAWUjthR7u1hjv2U8ivNbP8d4c064BrKKIxVn52Hi6GK3t+zwvOJyH74/kYWCTOkix7+XcyWld8NIrO8pb3d3SvgFGt66HuCgDNucWo993rn97aS38Y90bY1KPJmjxpW0uaJMci4IKC17o3Qw/Hs2XtzjrVi8BG27oii/2n8E4e1O+Twe3qXKN86xBrVFhEYNWjh1tNGBa/xZBeSytaOR0wql+XBQEQUD/tCRsOF2MjLQkfGU/dr6lXX3MO3QO//nHccKqdZ1YHC2ukJtNH7cn2749fM5l2cvY9g1wzC35WC8uCs2/3IoogyBX4Uh9Df4+U4IMuUooAV3rJWDuwbNoN3c7xLLanVAXRI31bc/IyEDfvn3lZitWqxXp6el4+OGH8cwzz3hcf8yYMSgpKcFPP/0kX9a/f3/07NkTs2bNqvHxioqKkJKSAjy2EIhVrlOgZGyPJvjGniW7uXtjfDi6C8pMVmw6XoCBreuh4Surqr39nw/0xyWzHAHXJa3q1rpR0DtXXYAnlu6r+YpOmtSJRbaXjPkFDROxr4qGAylxUSh0OxNe/PIV6PnuXzgUQGl3fLQBz1/WTu5YrLRh7Rvgjgub4o75/9R85Spsf+RiDJu9Ge9cdYHP93NRy1Ssc9r38pYeTXB7r6a42qmzanUaJsbgjB9rW7zZ/sjFSImLwrO/HpBfr8Hy7JC26N0sGTc4BU9V+fqWHrjVqYuuUv53fVcIAD7adBypcVFYeegcburWGN/aDyYevqilfDLCXdbTg7EntxhX2oPeTo0S8Z+rO2HEbNv3l7aui+JKC7aedM3mLri1p3xSTy3SiSDhmV9qdT9xUQaPfYEFAahp9vj6lh44XVzhcpKmOpe3q49Pb+iGVm+scbk82ijIe5Ov+lc/DGiZii+2nnQ50eauR5M62P7oJagwW3DT3O340WlNrT8ua1sfvx32rGrypnGdWL+W4Fzerj5W7T4OzLwRhYWFSE4OvDtuKGRkZKBfv3547733ANjm6xYtWmDixIlVztelpaX48ccf5csuuugidO/e3af5GnCas99ZCcQ7AqMYg4CK+zMA2KpfBv+wB3/nlqDSKqJjahwmdEnDo91t+9bevfowPnPKWvSon4AdTnPS7CFtMP6CRiisMCPV/j7+6cqO+N+eXPyQlY8udeOxO78Mg5rWwZpru/g07rxyM17fehLP926GZccK5Exm2b395FL1YpMFdT6xVVR8dXk73G7PPIoT+sv3Y7U3HFp6tAATu6bh2QubISHKIAcwwVBqsmD5iUJc26ouLCLQdf4OZJeaUHhPX+zOK0WzxBik2sczZ18uxq/O9Pgd/7tnE7w5oKXX+xdFEc9vOo4OKfHo2ygRrerEIvGTzRiWnoJfr+6ExUfycN2yA+iYGod5V7RH04QYl4N3d4L9pLX0u37g90z8drLIpQS+Z4MEj+x7UaUZY1ccwu78UhSbrC6ZdcsDGTDOsiU7Nt/QFX2qKGs/X2nBeZPF5cTIpYt3Y629kdTqUZ0wuJkjm3v/75lIijZihpd5+JPBbXBXx4bYcLoYlyyu+rPPXc64C5Fm329ZcDuBf2BsD/kEyIGCMnT8ZgdGt66LhcM6oNuCf7A3vwyN4qOxa0x3l27vkm+HtceNbevjx6x8tEmO9brV1bMbjuGD3acxqGmyy1Z+h2/riTb2ZJQoimjx5TacKKlEyb/6IqGKsuqZO7Lx+LqjaJ4Y41JBkn93H6TGRmHQ4t34I/s8ssddiMb257zmZCGG2HsBmB9wvJek38WWG7vhQh+31yN1zD90FmfKzJho3z7t/V05eHXLSRwY2xNXLt2HP3POo/hffZH0iaPi7IY29fDp4DYY9tNebMotkftovNm/BbacLcH8Q+fwWPfGmOkUqDeIi8Ij3RpjyuYT6FQ33qNhYHKMEUVOJ+rbp8RhzbWdMffAWbkxI8pKgCeGBjxnayrwrqysREJCAhYuXIjRo0fLl48bNw4FBQVYsmSJx21atGiBSZMm4bHHHpMvmzp1KhYvXowdOzwP0CsqKlBR4Tgwks+eqxR4ExGFwvQRHfC0PZNS28A7HH05pjtut2f43vnjiFxVozkVpWEbeM+fPx/jxo3DRx99hH79+mHmzJlYsGAB9u3bh7S0NNx5551o1qwZpk2bBsBWoTZo0CBMnz4dV111FebNm4fXX3/drwo198D79Yx0PGsvW3UOUAFbN+Yd50rl/XYlO8+V4pUtJ9AhJR5DmydjUNNkPLn+GGbsyMasS1vLpY4AsOpEIdZmF+G5C5thX0E5Xth0HLd1aICblx/EFc1TsPyaTvDX8eIKOTPnPub/+ycby08UYsEV7ZH4yWZM6tHEpewUAKZsOo5XtpzE9P7pAWexlZRfYUalxSoHd87W5ZzHxW4nyO7q2BAfDWrtV1OqVScK0b1+AhrGR0MURfx0tAAD0pLksvDqZHy3E5tyS+Tf9RvbTsoNzSRNEqJxalxvr7cfs/wAFhzOQ7PEGIxskYoBaUm4u1MjzNp9Gq3qxGJEFRn3qgxZsgdrThXhj2s7Y2AVW1GtOlGIYpMFo5c5Eg3fD++A69rUg1UU5aDf3YQuafjQXjX1WPfGeLVfupw9BoClR/Ox7FgB1p8uxrrrunj8Dc6UmeTs7978MnSetwMt68TgyG29YHB7zOcubOay3VVVlh7Nx9VOZfkAcG+nRvjf4DYul0nhSHVrp384kodrlx1Ah5Q4DGmWjI/25GLHzd3Q3d674Nj5Cqw5VYQ7nRoenq+0oMWXW/FIt8Z4ySkj3+yLLThVYoLp/gy/t9Ai9VmsIowGATvPlWLD6fO4t3MaJq49IleC/HVdF1zUuA7m7MvFc5uOI6NRklwlBAD/d0krPNQ1zeW90iwxBifuvBCP/JklV2lIejdMxJYzJYgxCDAaBJSZrXhrQAs82bMpPtp9Gg9IlSW1DLw1VWpeXbOWffu8HzT526xl2rRpeOmll5QZsAY8O6QtXnfqLkpEBABD2znWhFW+NhwCgFPnK9By+pqQjSmYDjqt/3r8kla4uFUqXvvtMH6q5foschgzZgzOnDmDKVOmICcnBz179sSyZcvkOfnYsWMwGBwH9hdddBG+/vprPP/883j22WfRvn17LF682K9lYc6Gpafgse5N5MDbXcP4aI+gGwC61U/AgmEdXC57s38LdK+XgNs6uK6lvLx5Ci6330e3+glYPLKjvL3SkGaBnShJT4rF6XG9Ueql0eQj3ZvgEXtm/vgdvdDMSwm5tB60US22AFJS3Wqy7R1TPbswj2jhfyfoy53+joIg4BoftnCTLL3yAuQ79c/p5KXEfY59329vpMD1yR5N8FiPJvLlzs3Q/CFt/dYm2fN3I5Geb88GCSiqtOD29g1wlb0DdnVlz93q2Z5bQpQB/9/enYfHdP1/AH9PtslmRhYkZCUIiSW2EDSURBJrtKp2qS9FFaWWLqr1Re2tfltV9at0iVqLthTRRpuqvajWEoRGSJBd9u38/kgyMmaSTCSTmYz363nyPJlzz9w5Z87c85lz555zP+jpprJ9oKsNBrpW/N6Vv+S6dUNzvOTZCK+2c1A7GH61nWb1H1A6dQ4oOc4Gu9ko1gkoT5PFyhxLjwdzEyP8r5cbFnV2QjPrR8eISwOp0qAbKJlmcWd8J1g8Nlf47PPt8DC/iINuPVV2L/B2dpZoV7oOwce93bHp0n0UFAvFVJCJno0xoXUj7L2Zqhh4t7O1xDSvJjCSSJAzuRvOJWVhwI9XsPEZdwCAU+nnqPyJKv+mMpx9UHKVVAtrM9zIyFMco2X3at/Stznik1KxqAb10quBd13QZL6Yv7stfn3svopVeaWHCyLO3VXMcawLY32aop1Dxat2GhtJqr0asq6sG+iJOdW8/F3bhrZtjMbWUnyu5n6aT6tPh3lhWjUucdNXC/s0x4ROzdDmsbUEtKm9QwP8lajZAoZPwt3WAjfLLQLVudwX1bK5g02s1c8DNUSvlwZYADAykqC7iw2+eL4dGi/9RauvO9/fXWlOvaGbMWMGZsyYoXbb0aNHVdJGjBiBESNG1Ph1jw/3Qtum9rAwMcLolnYa3Uu7MsZGEkzwrPq2YEDJ4OT66I5wqsHxVHJpdOUDZydr9Qs4DXO3wZwOjgh1r/5CaXXNztwUN8d0hGsDKfz2/IMT9zLhqOaXcW2ytzBV+mW8p2MDOFia4rX2jhjT0l5p4KaOc+mX9EE1/IyV+bCnG3o6NKjydQHg5HBvFAuorJy/yd8dTa3MYG5shMO305CYXYCvYpLgaWOB2+N8YGZU87WTjSQS/F9f1RMSPw30hI3UWO0VDuqYGEkUUw16OFjDs5r3eS7PpfQ9C3FpCFNjI43eQwBqL113sDSDAy90rXe+G9AKl1JzlI4JiUSC0Oa2KJrqix3XkxHo3FBxQsXcxAg9HBogo/Q2iwDQpLQ/8LK1wJ6gVriblY9A54ZYdyEBIz3scDszDzcy8uBeuoheGxsLxRUzGRnmNRp469Wq5nWxWItUKoVMJlP6e9xnw70Q8/ozFZZz83PeCGhpp3g8qYsTPh7qhd+ndcfqkNaK9Nd6uVW4DwCYXO6SFyc1Z/+ebVHyGjtKbzNgZixB4fIgdGomg0tDc3w9sgOe91Zfz60vdsDBsC5oXNopqfvC7dBACndbC6x/7FK5BlJjbBr+6BeInpWcHQVK5gffmOcPBzWrPM70Uz+H63Gv9XZH2rv9MdPPVVHfMqmL+0OsCEa30lUtPSq5D2lD8yc/l1S+zgCwKtgTm4Z749tRHTCnlxs6l/t1o9VjK8iO82mKke0d8e/CPujn8eiz0ancc/55rZfi/5DWjbDo2RaIeLGD0n5a2qvWLeO9AI3K71PBJWvqBLa0V/r8lZWpTPH7QSrPESuCMbW7C/KWDkDbx+azPekZ45d9nbHl+XZ4q28LHJvWHV2d5Ehd3L/C/IMe+2K8MrjkeBvaVnXhRaDkcz+xdFXV8reWej+oNTwbW+Pvcm1S3pRuzlgT4ql4bCQpOc7lNfh8RU/1Vfx/da5y/3Jmhp/i/18md8MPEzojpHUjWJoaw8POEm/1bYENw9ri5/90w+U5vXH/7WeRt3QA+pSuUBw1uRti5/eBWBGMwuVByFs6QG0ZpCbGWBr4aJGkWwv6YMOwtjAzVm6/7eWOwawlgUqfleGlv/K81MUJM/1ckfFeADaX3r5ny/PtkLSoH7qo+ZVRnaBW9hjSRn3blTkQ1gVnX/VD4fIgPNTwWBArgtFAza9wjaylOD69u5pnAPZW6gdBe8d1Unpc9nn6ZGhbpfTxnZphz7hOeFVNn7cyuDXuvtlX8flZGdwaUZO74cY8f6RrWCdS1tbWEjKzkvczon9LjPSo21V/W8jNIa3B/XtrQmZmgrV+rop51PrOTWYOiUSCVqXfcxwrmY9dF+zMTXF3fCfM92mq0cBtgU9T/D7Mq9buoezSQIq5HZtWnRElK8Sru13d5LZNMNDVBv2c5FjZwxUf9XLDB36u6O0og5O1tNI5709qUmn8DXJpCN8mDarIrWxU6XdmbzVzwKujiaUZ/gj1wtuddT/FgnRjkJsN5vuoP36MJBK82NIetlV8V+vnJMMwdxuMbGGHYe62mO7tAA+5OQpe9sXW/h5Y0LEpPOTmaq/YqSm9muMN1P1iLWXzxU5dv4Nun5fMCS9bkGjfP/fQ080G/9x7iOibqZjZ0xV5hcWKFZi3nIlHFyc52pW7ZUVOQREsFx1GFyc5Ts/wQ1Z+IX67mYr9V+7jf0PaorBYwKx0peXi94Nw7N9UdHWS44WI8/j+8n3cmOePqNhktLK3Ulo9/b8/X0dQK3t0LXfJTplNJ+Pg1aSBYhG2gJZ2ODypm2L7wC1nMKunKwaULhLz+jPuWPPbTaUVuIuKBZKy8tGk3OC5bF7oQM9G2F/u8szY+f5ovupXACUDp42hJV+6P4i+iTn7r+CjwW1w8nY63gvwwD/3MjH0qz8R1rkZerjaYGLnZjgUk4TBX57FTD9XfFS6YFX5spR/7SFtGmNf6byr+PQcRN1IwbhOJR3u1vN3ceRaEub5N1esgl5Wt5vz/fHjlQeKFeWBkl9r5eYm8HZoAJ+PjqGoWODczJ7w+egYAJQM/L+/jFXBrfH7rVQ81071pEZmXiFGb7uAz0K9MHf/FXx7IQGRk7qif7lbPSw6HIOlv9zAg0X9EJeWg87/+wM2FqZIKR1Qlq0gDpTMaUrOLsCnJ+Igk5pgVi83vLTzL4R4NkIvN1vFyQx1c3TnPeOOke0dsfq3m9j+V4Li12iHBlJM9XXGu+VuQwKULIZlY2GKlOwCiBXBKC4WmLDzLzzIysehmCTsGN0Rl+5nYukvN1Cw/NHA+53DMfj8dDwS3npWkea59jdcfZCFRc+2wAe/38LDJYFIzsrHhhNxmNC5GZxk5ohJysLyqBvY/lcC7r3dD//cy0R7xwa4k54LmbkJHBtIK7y0rP2HvyPUqwne6NMcbx2Kwbrfb+Hi7F7wdmiA7PwiLDx4Ff/741/8+aof7K3M0MRait9vpaLf5lPo72GHdYPaoP2Hv2PH6I4Y0d4RiQ/zYG1mjLn7r6CZTKpYLbvMtaQstFrzW0n7lK78X/59L1g2ACbGRrj6IBOea6OxbEArPNvCFvaWZrC1NIXdkkeLJI7q4IjF/T1gLClZKXPbhQT8p5sTnOQWiv2JFcGY/cMlrD/2r+I1jd44iOfbOWDnmIpvQVMbLiY+RPsPf0fcwj5wLr3kMjW7AFeTMtFjwwmsH9wG07u7wPStQ+jo2ADnZpWcnBj97XncTM3Bd2N9sPBgDDaGesGiggVwcgqKMGHHX7AwNcaKoFa4nZ4L30+OY2OoF1waWigWohMrgpGRWwD5u0cAlKxAnrkkEHv/uYcFP13Fsy1s8Wmo8gmx07fTsP/KA4R4NkJuQTH8N5XM37r/9rOIvJ4MqbGR2mO3vOJigTN30hVl2nYhAd9P6AzZ4kgEtbLHttEdMeyrP3E0NgUZ7wXgl+vJKBYCoY+d6CwoKkZSVj6MjSRoXO7XyXcOx+C/vzyaAlTWvwkhcOzfVPRye9S3l8Wg+jjHWxf4ftVfN9Jzse16Mt7s1LRW7oFMdSu7oAhFouTS7eoqKCpGUm6h4lJxovqqxjFI6Jlt27YJqVQqwsPDxaVLl8SUKVNEw4YNRWJiohBCiHHjxomFCxcq8h87dkyYmJiINWvWiMuXL4vFixcLU1NTcfHiRY1eLz09XQAQ6enpotNHvwssOFCj8hcXF4tenx4Xv8UmV5gnOStP/JuarZT2zuEYgQUHRFpO/hO/dkFhkfj9ZopIzVa/j82n4sQv15NEcXGxKCoqrnJ/R649EFhwQAR/cVqk5+SL3IJCxbZvz98R636LFcXFVe/n3J30CrfZvBspJmy/oJKelJknCgqLqtx3mVNxqeLXG8mioLBIxCZnKW2LeZCp0h6p2fmK9/rag0wR91h71ER+YZG49iBTCFFSDyw4IH64dK9G+/wzPk1gwQExbtt58esN1c9Wful7FZucJVKy8sWZ2yX5/03NFnkFRWJF1HVx5naaSMzIFTeSslSef/p2mkZtWWb7hbvC9r3Iaj2nNqVk5Ys3frqi9BkpKioWg8PPVPp5q8zd9ByVzwEWHNCoT7BadEhgwQExY+8/lea7mJChVL4vTt8WfyVkCCGEOBmXKjLzCp6g5LXnr4QMRd8Q8sVpcexWSq3tu3xb/ZWQIS7fe6h4nJ6TL6bsviiu3H+o7qmVOnj1vth8Ku6JypSdX6j0OOp6kqJfOHcnXQzaclqjvrIiN5KyxJFrDyrNUz4GUdX4fhERka7UNAbp3S/eAPDxxx9j9erVisVaPvroI/j6llym2adPH7i5uSE8PFyRf+fOnXj77bdx69YttGzZEqtWrUJISIhGr1X+zEVctgRxaTkI8az80kdtKCwqxtWkLHhV8/IdbcorLIL524cRPqIdJnR20nVxnnq/xiajt5ut4tdy0r5rSVkwMZLAvYrL4/ILiyGRqN6Hlagq/AW3evh+ERGRrtQ0BunlwLsuMYgTEZGuMAZVD98vIiLSlZrGIP48Q0RERERERKRFHHgTERERERERaREH3kRERERERERaxIE3ERERERERkRZx4E1ERERERESkRRx4ExEREREREWkRB95EREREREREWsSBNxEREREREZEWceBNREREREREpEUceBMRERERERFpEQfeRERERERERFrEgTcRERERERGRFnHgTURERERERKRFJrougK4JIQAAGRkZOi4JERE9bcpiT1ksosoxZhMRka7UNGY/9QPv5ORkAICzs7OOS0JERE+r5ORkyOVyXRdD7zFmExGRrj1pzH7qB962trYAgLi4OIP40pORkQFnZ2fcvn0bMplM18WpFYZWJ9ZHv7E++s3Q6pOeng4XFxdFLKLKMWbrN9ZHv7E++s/Q6mRo9alpzH7qB95GRiXT3OVyuUF8IMrIZDKDqg9geHViffQb66PfDK0+ZbGIKseYXT+wPvqN9dF/hlYnQ6vPk8ZsRnoiIiIiIiIiLeLAm4iIiIiIiEiLnvqBt1QqxeLFiyGVSnVdlFphaPUBDK9OrI9+Y330G+vzdDO094v10W+sj34ztPoAhlcn1keZRPAeJkRERERERERa89T/4k1ERERERESkTRx4ExEREREREWkRB95EREREREREWmRQA+/Tp09jxowZ8PLygpWVFVxcXPDCCy8gJiZGJe/ly5cRFBQEa2tr2NraYty4cXjw4IFKvuLiYqxatQru7u4wNzdH+/bt8e2339ZFdZCZmYnFixcjKCgItra2kEgkCA8PV8knkUgq/AsICFDku3XrVoX5tm3bpld1mjhxotpyenp6quTV9zYqLi5GeHg4hgwZAmdnZ1hZWcHb2xtLly5Fbm6uyj4raqMVK1boRX3K1IdjSJ2KPltlf3fu3AEA9OnTR+32oKAgnZVdnaNHj1ZYlxMnTijl/eOPP9CrVy9YWlrCwcEBM2fORGZmpo5Krp6m/Xh1+gh9lJeXhwULFqBp06awsLCAr68vIiMjdV2sOmNo8RowvJjNeM14zXhduxiv62e8BmovZptooWw6s3LlShw7dgwjRoxA+/btkZiYiI8//hidOnXCiRMn4O3tDQCIj4/HM888A7lcjuXLlyMzMxNr1qzBxYsXcerUKZiZmSn2+dZbb2HFihWYPHkyunbtin379mH06NGQSCR48cUXtVqfpKQkLFmyBC4uLujQoQOOHj2qNt/XX3+tknbmzBmsX78egYGBKttGjRqFkJAQpbQePXrUSpmrommdgJKVAzdv3qyUJpfLVfLpextlZ2cjLCwM3bt3x9SpU9G4cWMcP34cixcvxs8//4xffvkFEolE6TkBAQEYP368UpqPj482qwJA8/apL8eQOi+//DL69++vlCaEwNSpU+Hm5oZmzZop0p2cnPD+++8r5W3atGmdlLO6Zs6cia5duyqleXh4KP4/f/48+vXrhzZt2mDdunWIj4/HmjVrcO3aNfz00091XdwKadqPA5r3Efpo4sSJ2LVrF2bPno2WLVsiPDwcISEhiIqKQq9evXRdPK0ztHgNGF7MZrxmvGa81g7G6xL1JV4DtRizhQE5duyYyMvLU0qLiYkRUqlUjBkzRpE2bdo0YWFhIf79919FWmRkpAAgPvvsM0VafHy8MDU1Fa+88ooirbi4WPTu3Vs4OTmJwsJCLdZGiNzcXJGQkCCEEOL06dMCgNiyZYtGz500aZKQSCTi9u3birSbN28KAGL16tXaKK5GNK3ThAkThJWVVZX7qw9tlJeXJ44dO6by3Pfee08AEJGRkUrpAJTqU5c0bZ/6cgxpKjo6WgAQy5YtU6T5+/sLLy8vHZZKM1FRUQKA2LlzZ6X5goODhaOjo0hPT1ekff755wKAOHTokLaLqTFN+3FN+wh9dPLkSZW+OCcnR7Ro0UL06NFDhyWrO4YWr4UwvJjNeP0I4zXjdW1gvK6fajNmG9Sl5n5+fkpn7gCgZcuW8PLywuXLlxVpu3fvxqBBg+Di4qJI69+/P1q1aoUdO3Yo0vbt24eCggJMnz5dkSaRSDBt2jTEx8fj+PHjWqxNydkhBweHaj8vLy8Pu3fvhr+/P5ycnNTmycrKQn5+fk2LWG3VrVNRUREyMjIq3F4f2sjMzAx+fn4q6aGhoQCg9NksLycnR+2lbdqkafvUl2NIU1u3boVEIsHo0aNVthUWFurd5V0VefjwIQoLC1XSMzIyEBkZibFjx0ImkynSx48fD2tra6U20zVN+/EyVfUR+mjXrl0wNjbGlClTFGnm5uaYNGkSjh8/jtu3b+uwdHXD0OI1YHgxm/H6EcZrxuvaxnhdf9RmzDaogbc6Qgjcu3cP9vb2AIA7d+7g/v376NKli0rebt264dy5c4rH586dg5WVFdq0aaOSr2y7Pjpw4ADS0tIwZswYtdvfe+89WFtbw9zcHF27dsXhw4fruISayc7Ohkwmg1wuh62tLV555RWVDrW+thEAJCYmAoDis1leeHg4rKysYGFhgbZt22Lr1q11XbwKGdoxVFBQgB07dsDPzw9ubm5K22JiYmBlZYUGDRrAwcEBixYtQkFBgW4KWoWwsDDIZDKYm5ujb9++OHPmjGLbxYsXUVhYqNJmZmZm6Nixo160Q2Ue78fLaNJH6KNz586hVatWSl+qgEfHxfnz53VQKt17GuM1YBgxm/Ga8bouMF4zXutCbcZsg5rjrU5ERATu3LmDJUuWAAASEhIAAI6Ojip5HR0dkZKSgry8PEilUiQkJKBJkyYq83nKnnv37l0tl/7JREREQCqV4vnnn1dKNzIyQmBgIEJDQ9GsWTPExsZi3bp1CA4Oxvfff4+BAwfqqMSqHB0dMX/+fHTq1AnFxcU4ePAgNmzYgAsXLuDo0aMwMSn56NbXNgKAVatWQSaTITg4WCndz88PL7zwAtzd3XH37l188sknGDNmDNLT0zFt2jQdlfYRQzuGDh06hOTkZJUvvS1atEDfvn3Rrl07ZGVlYdeuXVi6dCliYmKwfft2HZVWlZmZGZ577jmEhITA3t4ely5dwpo1a9C7d2/88ccf8PHxqbLNoqOj67rY1fJ4Pw5o3kfoo4SEhArbAtCP40IXnsZ4DdT/mM14zXhdVxivGa91oVZjdm1eA69vLl++LGQymejRo4dibspvv/0mAIjt27er5F+0aJEAIFJTU4UQQjz77LOiTZs2KvmKiooEADFr1ixtFl+JpvPF0tPThbm5uQgNDdVov8nJyaJJkyaidevWtVDK6qnuHLhly5YJAOLbb79VpNXHNhLiUV02bNhQZd68vDzh7e0tGjZsKLKzs2uhpJqpqD719RiqyKhRo4SpqalISkqqMu/kyZMFAHH8+PE6KNmTu3btmrCwsBADBgwQQgjx1VdfCQDi5MmTKnnHjRsn5HJ5HZdQc+r68Yqo6yP0UfPmzUVwcLBK+o0bNwQA8cEHH9R9oXTMkOK1EIYXsxmvGa8Zr7WD8Vq/47UQtRuzDfZS88TERAwcOBByuVxxbT4AWFhYACiZU/W4svk5ZXksLCw0yqdPdu/ejdzc3AovWXucra0twsLCcPXqVcTHx2u5dDXz2muvwcjICEeOHFGk1cc22r59O95++21MmjRJozPiZmZmmDFjBtLS0nD27Nk6KGHlDOkYyszMxL59+zBgwADY2dlVmX/u3LkAoPQZ1EceHh4YOnQooqKiUFRUVGWb6bodKlJRP14RdX2EPtL346KuPa3xGjDcmM14zXhd2xivGa91pTaPDYMceKenpyM4OBhpaWk4ePCg0u0Eyi4LKLuUo7yEhATY2tpCKpUq8iYmJkIIoZIP0M/bFEREREAul2PQoEEaP8fZ2RkAkJKSoq1i1QoLCwvY2dkplbO+tVFkZCTGjx+PgQMHYuPGjRo/T5/ayJCOob179yI7O1vjL7361A5VcXZ2Rn5+PrKysqpsM123gzqV9eMVUddH6CNHR8cK2wLQ/XFRl57meA0YbsxmvNaP9jGkY4jxmvFaV2ozZhvcwDs3NxeDBw9GTEwMfvzxR7Rt21Zpe7NmzdCoUSOlhQzKnDp1Ch07dlQ87tixI7Kzs1VW5jt58qRiuz5JSEhAVFQUnnvuOUVHqonY2FgAQKNGjbRVtFrx8OFDJCUlKZWzPrXRyZMnERoaii5dumDHjh3VmtOiT21kSMdQREQErK2tMWTIEI3y61M7VCU2Nhbm5uawtraGt7c3TExMVNosPz8f58+f13k7PK6qfrwi6voIfdSxY0fExMSorO6qL8dFXXma4zVg2DGb8Vo/2seQjiHGa8ZrXanVmF0rF7/ricLCQjFkyBBhYmIi9u/fX2G+qVOnCgsLCxEXF6dIO3LkiAAgPv30U0Xa7du3K7ynYbNmzer0noaazEdat26dACB+/vlntdvv37+vkhYfHy9sbGxE+/bta6uoGquoTjk5OSIjI0Ml/7x58wQA8d133ynS6ksbXbp0SdjZ2QkvLy+RkpJS4T7UtVFGRoZo0aKFsLe3V7lfojZVVp/6eAw97v79+8LExESMGzdOZVt6errIzc1VSisuLhYjR44UAMTZs2frqphVUveZOX/+vDA1NRVDhgxRpAUFBQlHR0elY2vz5s0CgPjpp5/qpKya0KQfr04foY9OnDihck/Q3Nxc4eHhIXx9fXVYsrpjyPFaCMOL2YzXqhiv6w7jNeO1LtVmzNbvZeSqae7cufj+++8xePBgpKSk4JtvvlHaPnbsWADAm2++iZ07d6Jv376YNWsWMjMzsXr1arRr1w5hYWGK/E5OTpg9ezZWr16NgoICdO3aFXv37kV0dDQiIiKqnL9QGz7++GOkpaUpVsz74YcfFPO6Xn31VcjlckXeiIgING3aFH369FG7r/nz5+PGjRvo168fmjZtilu3buGzzz5DVlYW1q9fr/W6lKmqTqmpqfDx8cGoUaPg6ekJoGQlywMHDiAoKAhDhw5V7Ks+tJGRkREGDBiA1NRUzJs3D/v371d6fosWLdCjRw8AwCeffIK9e/di8ODBcHFxQUJCAr744gvExcXh66+/Vrlfoi7qI5fL69UxVJHt27ejsLBQ7WVrf/75J0aNGoVRo0bBw8MDOTk52LNnD44dO4YpU6agU6dOOiixeiNHjoSFhQX8/PzQuHFjXLp0CZs2bYKlpSVWrFihyLds2TL4+fnB398fU6ZMQXx8PNauXYvAwEAEBQXpsAbKNOnHExMTNe4j9JGvry9GjBiBN954A/fv34eHhwe+/PJL3Lp1C//3f/+n6+LVCUOM14DhxWzGa8Zrxuvaw3hd/+I1UMsxu7bPCuiSv7+/AFDhX3l///23CAwMFJaWlqJhw4ZizJgxIjExUWWfRUVFYvny5cLV1VWYmZkJLy8v8c0339RVlYSrq2uF9bl586Yi35UrVwQAMWfOnAr3tXXrVvHMM8+IRo0aCRMTE2Fvby9CQ0Pr/GxgVXVKTU0VY8eOFR4eHsLS0lJIpVLh5eUlli9fLvLz81X2p+9tdPPmzUo/lxMmTFDs6/DhwyIgIEA4ODgIU1NT0bBhQxEYGFjhLyK6qE+Z+nIMVaR79+6icePGas/ix8bGihEjRgg3Nzdhbm4uLC0tRefOncXGjRtFcXGxDkpbsfXr14tu3boJW1tbYWJiIhwdHcXYsWPFtWvXVPJGR0cLPz8/YW5uLho1aiReeeUVtWeidUmTfry6fYQ+ysnJEa+//rpwcHAQUqlUdO3aVRw8eFDXxaozhhivhTC8mM14zXjNeF17GK/rZ7wWovZitkSIx1ZRICIiIiIiIqJaY3CLqxERERERERHpEw68iYiIiIiIiLSIA28iIiIiIiIiLeLAm4iIiIiIiEiLOPAmIiIiIiIi0iIOvImIiIiIiIi0iANvIiIiIiIiIi3iwJuIiIiIiIhIizjwJiIiIiIiItIiDryJiIiIiIiItIgDbyI9tWPHDvTq1QvW1tZwc3NT2T59+nQ4OztDJpOhWbNmmD17NvLz8+u+oERERE8xxmsi0gQH3kR6ysbGBjNmzMCyZcvUbp8xYwauXLmCjIwMXLhwARcuXMDy5cvruJRERERPN8ZrItIEB95EeiogIAAvvvgiXF1d1W5v27YtrKysAABCCBgZGeHatWtaK8/ff/8NExMTREZGau01tGHfvn0wMzPT6ntDRERPL8br2sF4TYaOA2+iemzFihWwtrZG48aNceHCBcyePVslT3Z2Nj788EP07t0btra2MDU1RZMmTRASEoLw8HAUFhZq9Fpz5sxBz549ERAQUMu10K6hQ4eiXbt2WLBgga6LQkRETynG66oxXpOh48CbqB5buHAhMjMzcenSJUydOhWOjo5K269fvw4fHx+89tprMDc3xxtvvIFNmzZhzpw5KCgoQFhYGN58880qX+f48eOIjIzEnDlztFUVrZo1axb27NmDf/75R9dFISKipxDjtWYYr8mQceBNZADatGmDDh06YNy4cYq0nJwcDBo0CLGxsdi9ezciIyMxb948hIWFYcGCBYiMjMSpU6fULgTzuA0bNsDe3h4hISFarIX2DB8+HJaWlti4caOui0JERE8xxuvKMV6TIePAm8hAFBQUICYmRvF48+bNuHr1KubOnYvhw4erfU7Xrl0xffr0SvdbWFiIvXv3on///jA1NVXZHh4eDolEgiNHjuDdd9+Fq6srpFIp2rdvj23bttU4788//4wlS5bA1dUVFhYW8PX1xYkTJwAAv/76K3r16gUrKys4Ojriv//9r9o6WFtbo3fv3ti1a1eldSUiItI2xmvGa3o6mei6AESkXlFREQoKClBQUAAhBHJzcyGRSCCVSpGeno49e/Zg2LBhkMvluHjxIpYuXYoBAwYonl8WtKZMmVKjcpw9exaZmZno1q1bpfkWLFiArKwsxReDLVu2YNSoUcjNzcXEiROfOO/ChQtRVFSEWbNmIT8/H2vXrkVgYCC++uorTJo0CVOmTMGYMWOwY8cOvPPOO3B3d8fYsWNVytejRw8cOnQIV65cgaen55O/IUREROUwXpdgvCaqgiAivbRlyxYBQOnP1dVVCCFEenq66Nevn7CxsRFWVlbC3d1dzJ07V2RmZiqeb2trK2QyWY3L8cUXXwgAYt++fZWW08XFRaSlpSnS09LShIuLi7CxsRHZ2dlPnNfHx0fk5eUp8u7bt08AECYmJuL06dOK9Ly8POHg4CC6d++utpxff/21ACB27dr15G8GERHRYxivGa+JNMFLzYn01MSJEyGEUPq7desWAEAmk+HIkSNISUlBZmYmYmNjsWbNGsXtSgAgIyMDDRo0qHE5Hjx4AACwtbWtNN+0adMgl8sVj+VyOaZOnYrU1FQcPXq0RnnNzMwUj3v37g0A8PX1RZcuXRTpZmZm6NatW4W3IbGzswMA3L9/v9J6EBERVQfj9aO8jNdEFePAm8hAyWQyPHz4sMb7kUgkAEruPVqZNm3aqKS1bdsWABAbG/vEeZs3b6702MbGBgDg7u6usg8bGxskJyerLV9Z+cvqQ0REpA8Yr5UxXpOh4sCbyEB5e3sjIyNDJTBWV6NGjQAAKSkptVGsajM2Nq5WekXKyl9WHyIiIn3AeK2M8ZoMFQfeRAbqueeeA1CyWmpNeHt7A0CFl4SVuXz5skrapUuXAKieBa9O3tpy/fp1AI/qQ0REpA8Yr5UxXpOh4sCbyED95z//QevWrbFmzRrs27dPbZ6zZ89iw4YNle7Hx8cHMplMcUuQinz66adIT09XPE5PT8fGjRvRsGFD+Pv7P3He2nLixAk0adIErVu31sr+iYiIngTjtTLGazJUvJ0YkYGytLTEjz/+iIEDB2LYsGEIDAxEQEAA7Ozs8ODBA0RFReHQoUOYP39+pfsxNjbG8OHDsXfvXuTl5UEqlarNZ29vD19fX4SFhQEoueVIXFwcNm/eDEtLyyfOWxsyMzMRHR2Nl156qdb3TUREVBOM148wXpMh48CbyIB5eHjg3Llz+Oyzz7B7924sW7YMmZmZsLW1RZcuXfDll19i9OjRVe5n2rRpCA8Px48//qi4JO5xK1euRHR0ND755BPcu3cPrVq1QkREhNr9Vydvbdi9ezeys7Px8ssva2X/RERENcF4XYLxmgyZRFS19CEREYCgoCBkZWUhOjpaKT08PBxhYWGIiopCnz59Kt1HdfLWpk6dOsHNzQ3fffddnb0mERGRLjBeE+knzvEmIo2sXbsWx48fx+HDh3VdlGrZu3cv/v77b6xcuVLXRSEiItI6xmsi/cRLzYlII15eXigsLNR1Mapt2LBhyM/P13UxiIiI6gTjNZF+4i/eRERERERERFrEOd5EREREREREWsRfvImIiIiIiIi0iANvIiIiIiIiIi3iwJuIiIiIiIhIizjwJiIiIiIiItIiDryJiIiIiIiItIgDbyIiIiIiIiIt4sCbiIiIiIiISIs48CYiIiIiIiLSIg68iYiIiIiIiLSIA28iIiIiIiIiLeLAm4iIiIiIiEiLOPAmIiIiIiIi0qL/B5w/n6Rx1tOBAAAAAElFTkSuQmCC",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 1000x800 with 4 Axes>"
       ]
@@ -467,19 +474,19 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Lastly, the `plot` function makes it super easy to plot 2D NMR spectra. You just need to provide a bit more info to customize the plot. Here’s what you can specify:\n",
+    "The `.plot()` method also handles 2D spectra with contour lines and projections. Key options for 2D plots include:\n",
     "\n",
-    "- `countour_start`: the minimum value for the contour plot\n",
-    "- `countour_num`: how many contour levels you want\n",
-    "- `countour_factor`: the factor between each contour level\n",
-    "- `cmap`: the [matplotlib colormap](https://matplotlib.org/stable/users/explain/colors/colormaps.html) for countour (default is 'black')\n",
-    "- `colors`: can be used instead of `cmap` with values such as `blue`, `red`, etc.\n",
-    "- `xlim`: limits for the x-axis, i.e. direct dimension (F2)\n",
-    "- `ylim`: limits for the y-axis, i.e. indirect dimension (F1)\n",
-    "- `save`: whether you want to save the plot\n",
-    "- `filename`: the name to save the plot as\n",
-    "- `format`: the file format to save it\n",
-    "\n"
+    "- `contour_start`: the minimum contour level (controls which peaks are visible)\n",
+    "- `contour_num`: the number of contour levels\n",
+    "- `contour_factor`: the multiplicative factor between successive contour levels\n",
+    "- `cmap`: a [matplotlib colormap](https://matplotlib.org/stable/users/explain/colors/colormaps.html) for the contours (default is black lines)\n",
+    "- `color`: solid color(s) for contour lines — use instead of `cmap` when overlaying spectra\n",
+    "- `proj_color`: color(s) for the projection traces\n",
+    "- `xlim` / `ylim`: axis limits for the direct (F2) and indirect (F1) dimensions\n",
+    "- `diagonal`: slope of a diagonal reference line (e.g. `diagonal=2` for DQ-SQ)\n",
+    "- `homonuclear`: set to `True` when both axes correspond to the same nucleus\n",
+    "- `linewidth_contour` / `linewidth_proj`: line widths for contours and projections\n",
+    "- `save`, `filename`, `format`: save the plot directly to a file"
    ]
   },
   {
@@ -495,17 +502,17 @@
    "source": [
     "The following example includes all options currently available in the `bruker2d` function.\n",
     "\n",
-    "A simple heteronuclear {<sup>1</sup>H}-<sup>13</sup>C 2D acquired at 9.4T using a MAS rate of 10kHz can be plotted, as follows :"
+    "A simple heteronuclear <sup>1</sup>H-<sup>13</sup>C 2D acquired at 9.4T using a MAS rate of 10kHz can be plotted, as follows :"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 3 Axes>"
       ]
@@ -547,7 +554,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Some NMR spectra, like double-quantum (DQ) experiments, are often visualized with a diagonal line representing `y=2x`. You can add this diagonal line for any line of the form `y=nx` using the keyword `diag=n`, where `n` sets the desired quantum order. The following example shows a <sup>13</sup>C-<sup>13</sup>C DQ-SQ experiment. The option `homo=True` is only needed if the y-axis label isn’t displaying correctly, such as when the DQ-SQ is acquired through CPMAS.\n",
+    "Some NMR spectra, like double-quantum (DQ) experiments, are often visualized with a diagonal line representing `y=2x`. You can add this diagonal line for any line of the form `y=nx` using the keyword `diagonal=n`, where `n` sets the desired quantum order. The following example shows a <sup>13</sup>C-<sup>13</sup>C DQ-SQ experiment. The option `homonuclear=True` is only needed if the y-axis label isn't displaying correctly, such as when the DQ-SQ is acquired through CPMAS.\n",
     "\n",
     "Similarly, a simple homonuclear <sup>13</sup>C-<sup>13</sup>C 2D can be plotted, as follows :"
    ]
@@ -559,7 +566,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 3 Axes>"
       ]
@@ -584,8 +591,8 @@
     "    tickfont=\"Arial\",\n",
     "    tickfontsize=10,\n",
     "    tickspacing=20,\n",
-    "    homo=True,  # Set to true if spectra is a homonuclear correlation\n",
-    "    diag=2,  # Set the diagonal splot 2 for DQ y=2x\n",
+    "    homonuclear=True,  # Set to true if spectra is a homonuclear correlation\n",
+    "    diagonal=2,  # Set the diagonal slope: 2 for DQ (y=2x)\n",
     "    save=False,\n",
     "    filename=\"../../data/2D/2d_homo\",\n",
     "    format=\"png\",\n",
@@ -601,12 +608,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 3 Axes>"
       ]
@@ -629,11 +636,12 @@
     "    axisfontsize=12,\n",
     "    tickfont=\"Arial\",\n",
     "    tickfontsize=10,\n",
-    "    tickspacing=20,\n",
-    "    homo=True,\n",
-    "    diag=2,\n",
-    "    xaxislabel=\"SQ $^{13}$C (ppm)\",  # Set the label for the X-axis\n",
-    "    yaxislabel=\"DQ $^{13}$C (ppm)\",  # Set the label for the Y-axis\n",
+    "    xtickspacing=20,    # Set space between ticks in x-axis\n",
+    "    ytickspacing=50,    # Set space between ticks in y-axis\n",
+    "    homonuclear=True,\n",
+    "    diagonal=2,\n",
+    "    xaxislabel=\"SQ $^{13}$C (ppm)\",  # Set the label for the x-axis\n",
+    "    yaxislabel=\"DQ $^{13}$C (ppm)\",  # Set the label for the y-axis\n",
     "    save=False,\n",
     "    filename=\"../../data/2D/2d_homo\",\n",
     "    format=\"png\",\n",
@@ -643,7 +651,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "py3.13",
    "language": "python",
    "name": "python3"
   },
@@ -657,7 +665,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.9"
+   "version": "3.13.7"
   }
  },
  "nbformat": 4,
diff --git a/docs/user_guide/read_export.ipynb b/docs/user_guide/read_export.ipynb
index 5b0817d..5216819 100644
--- a/docs/user_guide/read_export.ipynb
+++ b/docs/user_guide/read_export.ipynb
@@ -41,7 +41,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "In the previous tutorial, we used `bruker1d(['../../data/1D/glycine/pdata/1'], xlim=(250, -20))` to create a simple <sup>13</sup>C NMR plot. By adding the option `return_fig=True`, you can return the figure object, which allows you to further customize the appearance of the spectrum as you like."
+    "In the previous tutorial, we used `read_nmr()` and then `.plot()` to create a simple <sup>13</sup>C NMR plot. By adding the option `return_fig=True`, you can return the figure object, which allows you to further customize the appearance of the spectrum as you like."
    ]
   },
   {
@@ -51,7 +51,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -241,24 +241,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "plt.plot(df_nmr[\"ppm\"], df_nmr[\"intensity\"], color=\"green\")\n",
     "plt.xlim(250, -20)\n",
-    "plt.xlabel(\"$^{31}$C (ppm)\")\n",
+    "plt.xlabel(\"$^{13}$C (ppm)\")\n",
     "plt.ylabel(\"Intensity (a.u.)\")\n",
     "plt.show()"
    ]
@@ -274,26 +263,17 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Pandas DataFrames can be easily exported to other formats such as `.csv`. You can do this directly in your code with `df.to_csv('exported_data.csv')`, or use the `bruker2csv` function from the terminal for a quick export."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "powershell"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "bruker2csv ../../data/1D/glycine/pdata/1 ../../data/1D/exported_data.csv"
+    "Pandas DataFrames can be easily exported to other formats such as `.csv`. You can do this directly in your code with `df.to_csv('exported_data.csv')`, or use the `bruker2csv` function from the terminal for a quick export.\n",
+    "\n",
+    "```bash\n",
+    "bruker2csv ../../data/1D/glycine/pdata/1 ../../data/1D/exported_data.csv\n",
+    "```"
    ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "main",
    "language": "python",
    "name": "python3"
   },
@@ -307,7 +287,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.9"
+   "version": "3.12.12"
   }
  },
  "nbformat": 4,
diff --git a/docs/user_guide/spin_objects.ipynb b/docs/user_guide/spin_objects.ipynb
index 41e84c2..108c700 100644
--- a/docs/user_guide/spin_objects.ipynb
+++ b/docs/user_guide/spin_objects.ipynb
@@ -7,7 +7,7 @@
    "source": [
     "# Working with Spin objects directly\n",
     "\n",
-    "`SpinPlots` makes it easy to create plots with a few lines of code using the `.plot()` method, advanced users might want more control over data visualization. This tutorial will show you how to work directly with `Spin` and `SpinCollection` objects to access raw data, process it, and create custom plots."
+    "`SpinPlots` makes it easy to create plots with a few lines of code using the `.plot()` method, but advanced users might want more control over data visualization. This tutorial shows how to work directly with `Spin` and `SpinCollection` objects to access raw data, process it, and create custom plots."
    ]
   },
   {
@@ -19,8 +19,10 @@
     "\n",
     "SpinPlots provides two main classes for handling NMR data:\n",
     "\n",
-    "1. `Spin`: Represents a single NMR dataset\n",
-    "2. `SpinCollection`: Is a collection of `Spin` objects"
+    "1. `Spin`: Represents a single NMR dataset (spectrum data, provider, dimensionality, and tag).\n",
+    "2. `SpinCollection`: A dictionary-like container of `Spin` objects. `read_nmr()` always returns a `SpinCollection`, even for a single path.\n",
+    "\n",
+    "When a `SpinCollection` contains exactly one spectrum, convenience properties like `.spectrum`, `.tag`, `.ndim`, and `.provider` work directly on it — so you can use it just like a `Spin` in most cases."
    ]
   },
   {
@@ -28,7 +30,9 @@
    "id": "d830b855",
    "metadata": {},
    "source": [
-    "### Working with Spin objects"
+    "### Working with a single spectrum\n",
+    "\n",
+    "Loading a single path returns a `SpinCollection` with one element. You can access `.spectrum`, `.ndim`, `.provider`, and `.tag` directly:"
    ]
   },
   {
@@ -57,22 +61,23 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Object type: Spin\n",
+      "Object type: SpinCollection\n",
+      "Number of spectra: 1\n",
       "Dimensions: 1D\n",
       "Provider: bruker\n",
       "Path to file: ../../data/1D/glycine/pdata/1\n",
       "\n",
-      "Available keys\n",
-      "- path\n",
-      "- metadata\n",
-      "- ndim\n",
-      "- data\n",
-      "- norm_max\n",
-      "- norm_scans\n",
-      "- projections\n",
-      "- ppm_scale\n",
-      "- hz_scale\n",
-      "- nuclei\n"
+      "Available keys in spectrum dict:\n",
+      "  - path\n",
+      "  - metadata\n",
+      "  - ndim\n",
+      "  - data\n",
+      "  - norm_max\n",
+      "  - norm_scans\n",
+      "  - projections\n",
+      "  - ppm_scale\n",
+      "  - hz_scale\n",
+      "  - nuclei\n"
      ]
     }
    ],
@@ -81,13 +86,14 @@
     "glycine = read_nmr(\"../../data/1D/glycine/pdata/1\", provider=\"bruker\")\n",
     "\n",
     "print(f\"Object type: {type(glycine).__name__}\")\n",
+    "print(f\"Number of spectra: {glycine.size}\")\n",
     "print(f\"Dimensions: {glycine.ndim}D\")\n",
     "print(f\"Provider: {glycine.provider}\")\n",
     "print(f\"Path to file: {glycine.spectrum['path']}\")\n",
     "\n",
-    "print(\"\\nAvailable keys\")\n",
+    "print(\"\\nAvailable keys in spectrum dict:\")\n",
     "for key in glycine.spectrum.keys():\n",
-    "    print(f\"- {key}\")"
+    "    print(f\"  - {key}\")"
    ]
   },
   {
@@ -100,22 +106,22 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Type: Spin\n",
+      "Object type: SpinCollection\n",
       "Dimensions: 2D\n",
       "Provider: bruker\n",
       "Path to file: ../../data/2D/16/pdata/1\n",
       "\n",
-      "Available keys\n",
-      "- path\n",
-      "- metadata\n",
-      "- ndim\n",
-      "- data\n",
-      "- norm_max\n",
-      "- norm_scans\n",
-      "- projections\n",
-      "- ppm_scale\n",
-      "- hz_scale\n",
-      "- nuclei\n"
+      "Available keys in spectrum dict:\n",
+      "  - path\n",
+      "  - metadata\n",
+      "  - ndim\n",
+      "  - data\n",
+      "  - norm_max\n",
+      "  - norm_scans\n",
+      "  - projections\n",
+      "  - ppm_scale\n",
+      "  - hz_scale\n",
+      "  - nuclei\n"
      ]
     }
    ],
@@ -123,14 +129,14 @@
     "# Load a 2D spectrum\n",
     "spectrum_2d = read_nmr(\"../../data/2D/16/pdata/1\", provider=\"bruker\")\n",
     "\n",
-    "print(f\"Type: {type(spectrum_2d).__name__}\")\n",
+    "print(f\"Object type: {type(spectrum_2d).__name__}\")\n",
     "print(f\"Dimensions: {spectrum_2d.ndim}D\")\n",
     "print(f\"Provider: {spectrum_2d.provider}\")\n",
     "print(f\"Path to file: {spectrum_2d.spectrum['path']}\")\n",
     "\n",
-    "print(\"\\nAvailable keys\")\n",
+    "print(\"\\nAvailable keys in spectrum dict:\")\n",
     "for key in spectrum_2d.spectrum.keys():\n",
-    "    print(f\"- {key}\")"
+    "    print(f\"  - {key}\")"
    ]
   },
   {
@@ -154,34 +160,11 @@
      "output_type": "stream",
      "text": [
       "Type: SpinCollection\n",
+      "Number of spectra: 2\n",
       "Dimensions: 1D\n",
       "Provider: bruker\n",
       "Path to file 1: ../../data/1D/glycine/pdata/1\n",
-      "Path to file 2: ../../data/1D/alanine/pdata/1\n",
-      "\n",
-      "Keys file 1\n",
-      "- path\n",
-      "- metadata\n",
-      "- ndim\n",
-      "- data\n",
-      "- norm_max\n",
-      "- norm_scans\n",
-      "- projections\n",
-      "- ppm_scale\n",
-      "- hz_scale\n",
-      "- nuclei\n",
-      "\n",
-      "Keys file 2\n",
-      "- path\n",
-      "- metadata\n",
-      "- ndim\n",
-      "- data\n",
-      "- norm_max\n",
-      "- norm_scans\n",
-      "- projections\n",
-      "- ppm_scale\n",
-      "- hz_scale\n",
-      "- nuclei\n"
+      "Path to file 2: ../../data/1D/alanine/pdata/1\n"
      ]
     }
    ],
@@ -194,19 +177,11 @@
     ")\n",
     "\n",
     "print(f\"Type: {type(collection).__name__}\")\n",
+    "print(f\"Number of spectra: {collection.size}\")\n",
     "print(f\"Dimensions: {collection.ndim}D\")\n",
     "print(f\"Provider: {collection.provider}\")\n",
     "print(f\"Path to file 1: {collection[0].spectrum['path']}\")\n",
-    "print(f\"Path to file 2: {collection[1].spectrum['path']}\")\n",
-    "\n",
-    "print(\"\\nKeys file 1\")\n",
-    "for key in collection[0].spectrum.keys():\n",
-    "    print(f\"- {key}\")\n",
-    "\n",
-    "print(\"\\nKeys file 2\")\n",
-    "for key in collection[1].spectrum.keys():\n",
-    "    print(f\"- {key}\")\n",
-    "\n"
+    "print(f\"Path to file 2: {collection[1].spectrum['path']}\")"
    ]
   },
   {
@@ -229,12 +204,7 @@
     }
    ],
    "source": [
-    "collection = read_nmr(\n",
-    "    [\"../../data/1D/glycine/pdata/1\", \"../../data/1D/alanine/pdata/1\"], \n",
-    "    provider=\"bruker\",\n",
-    "    tags=[\"Glycine\", \"Alanine\"]  # Add custom tag\n",
-    ")\n",
-    "\n",
+    "# Access individual Spin objects by tag\n",
     "glycine_spin = collection[\"Glycine\"]\n",
     "alanine_spin = collection[\"Alanine\"]\n",
     "\n",
@@ -255,7 +225,7 @@
    "id": "c0bf4fc0",
    "metadata": {},
    "source": [
-    "`Spin` objects can be easily added or romoved from a `SpinCollection` with:"
+    "`Spin` objects can be easily added or removed from a `SpinCollection`. Since `read_nmr()` returns a `SpinCollection`, use indexing (`[0]`) to extract the inner `Spin` before appending:"
    ]
   },
   {
@@ -268,7 +238,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Collection sized after adding: 3\n",
+      "Collection size after adding: 3\n",
       "Updated tags: ['Glycine', 'Alanine', 'Tyrosine']\n",
       "\n",
       "Collection size after removal: 2\n",
@@ -278,10 +248,10 @@
    ],
    "source": [
     "tyrosine = read_nmr(\"../../data/1D/tyrosine/pdata/1\", provider=\"bruker\")\n",
-    "tyrosine.tag = \"Tyrosine\"\n",
-    "collection.append(tyrosine)\n",
+    "tyrosine.tag = \"Tyrosine\"  # Works on single-element SpinCollection\n",
+    "collection.append(tyrosine[0])  # Extract the Spin to append\n",
     "\n",
-    "print(f\"Collection sized after adding: {collection.size}\")\n",
+    "print(f\"Collection size after adding: {collection.size}\")\n",
     "print(f\"Updated tags: {list(collection.spins.keys())}\\n\")\n",
     "\n",
     "collection.remove(\"Alanine\")\n",
@@ -294,9 +264,9 @@
    "id": "3cdece91",
    "metadata": {},
    "source": [
-    "## Create plots from Spin objects\n",
+    "## Create custom plots from spectrum data\n",
     "\n",
-    "The `Spin` object contains all information necessary to make a NMR plot"
+    "The `.spectrum` dictionary contains all the data needed to build a plot from scratch with matplotlib. This is useful when you need full control over the figure layout."
    ]
   },
   {
@@ -307,7 +277,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 600x500 with 1 Axes>"
       ]
@@ -342,7 +312,7 @@
    "id": "c80cb000",
    "metadata": {},
    "source": [
-    "You can also use all the data in `SpinCollection` objects to plot the data as you wish"
+    "You can also iterate over a `SpinCollection` to build custom multi-spectrum plots:"
    ]
   },
   {
@@ -353,7 +323,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 600x500 with 1 Axes>"
       ]
@@ -366,7 +336,7 @@
     "collection = read_nmr(\n",
     "    [\"../../data/1D/glycine/pdata/1\", \"../../data/1D/alanine/pdata/1\"], \n",
     "    provider=\"bruker\",\n",
-    "    tags=[\"Glycine\", \"Alanine\"]  # Add custom tag\n",
+    "    tags=[\"Glycine\", \"Alanine\"]\n",
     ")\n",
     "\n",
     "fig, ax = plt.subplots(figsize=(6, 5))\n",
@@ -383,6 +353,7 @@
     "ax.set_xlabel(\"$^{13}$C (ppm)\", fontsize=12)\n",
     "ax.set_ylabel(\"Normalized Intensity\", fontsize=12)\n",
     "ax.set_xlim(180, 0)\n",
+    "ax.legend()\n",
     "ax.grid(alpha=0.3, linestyle='--')\n",
     "plt.tight_layout()\n",
     "plt.show()"
@@ -393,7 +364,7 @@
    "id": "73f90486",
    "metadata": {},
    "source": [
-    "`Spin` and `SpinCollection` objects from 2D spectra can also be used to plot the spectra, with or without projections."
+    "2D spectrum data can also be used to build custom contour plots with projections:"
    ]
   },
   {
@@ -414,7 +385,7 @@
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAsMAAAIZCAYAAABDKTILAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8hTgPZAAAACXBIWXMAAA9hAAAPYQGoP6dpAACQQElEQVR4nOzdd1hT5+MF8JOw9x4iiIoDUXAPilvrQq1Va22dratW2zpqtdbRaluttrWtdddZZ9WqOHGLCi7ce4HMsPdMyP390S/5iaISCFxIzud58hSSN8m5NIaTl/feKxEEQQARERERkQ6Sih2AiIiIiEgsLMNEREREpLNYhomIiIhIZ7EMExEREZHOYhkmIiIiIp3FMkxEREREOotlmIiIiIh0FsswEREREekslmEiIiIi0lksw0RERESks1iGiYiISBT37t3Dxo0bIQiC2FFIh+mLHYCIiIh009ChQ3H16lW4urqiS5cuYschHcWZYdIaSqUSo0aNwqJFizBjxgyx4xAR0Wvk5eXh1q1bAIDjx4+LnIZ0mUTg3yZIS8TExKB69eqq75VKJSQSiYiJiIjoVcLDw1GrVi0AwMCBA7Fz506RE5Gu4swwaY24uLgi3ycmJoqUhIiI3iQmJgYA0LZtWzx+/FjkNKTLWIZJa8hksiLfP336VKQkRET0JoVluHnz5i9NZhBVJJZh0hqFb6Y3b94EAKSnp4sZh4iIXkMmk8HAwAAeHh5ITk7mESVINCzDpDVSU1NhamoKFxcXAEBGRobIiYiI6FXS09NhZWUFOzs75OXlITs7W+xIpKNYhklr5OTkwNTUFObm5gCAzMxMkRMREdGrpKenw9LSEnZ2dgCA5ORkkRORrmIZJq2RnZ0NExMTGBkZwcDAgGWYiKgSy8jIgIWFBWxtbQEASUlJIiciXcUyTFojJycHJiYmAABzc3OWYSKiSqywDFtbWwP4b6kbkRhYhklrFC6TAP4rw1wzTERUeRUuk+DSNhIbyzBpDc4MExFVHYUzwxYWFqrvicTAMkxao3DNMMAyTERU2RXODJuZmUEikbAMk2hYhklrPD8zbGFhwTJMRFSJFc4MSyQSLm0jUbEMk9bgmmEioqqjsAwD/01g8D2bxMIyTFqDa4aJiKqOwmUSAMswiYtlmLQG1wwTEVUNSqUSmZmZnBmmSoFlmLTGi8skWIaJiCqnrKwsAODMMFUKLMOkNV7cgY5vrERElVN6ejoAcGaYKgWWYdIaXDNMRFQ1FBbfwjLM92wSE8swaY3i1gwLgiByKiIielHhzLCuLpM4fvw4Vq5cyd9RlYS+2AGINOX5NcOWlpZQKpXIzs6GmZmZyMmIiOh5L84M61IZVigU6N27N/Ly8tCwYUO0a9dO7Eg6jzPDpBXkcjkUCkWRNcPA/88+EBFR5VFYfHVxZvjWrVvIy8sDAAQEBIichgCWYdISOTk5AKAqw4VvsLry5kpEVJXo8g50V65cgVQqRY8ePXD16lWx4xBYhklLFJbh55dJAJwZJiKqjDIyMmBgYAAjIyMA/5XhrKwsKJVKkZOVv6dPn8LNzQ1t27bF1atXuW64EmAZJq3w4sxw4WyDrsw0vOjRo0cYM2YMoqOjxY5CRPSS588+B/z/e7YuHFHi2bNnqFmzJpo1a4bU1FSEhYWJHUnnsQyTVnjVMgldnRn+6quv8Ndff2Hu3LliRyEieklGRoaqAAO6NYERHh6uKsMAcO3aNZETEcswaYXCsxkVHjlCl3egUygUCAwMhL6+Pvbs2aMTf3YkoqolNTUVVlZWqu91sQw7OTnB0dERt27dEjuSzmMZJq1Q+Kc1c3NzAICxsTH09fV14o31Rbdu3UJOTg5mzZqF5ORkPHz4UOxIRERFJCUlwc7OTvV94Xu3ti+TyM3NRWxsLNzd3QEAPj4+uHnzpsipiGWYtMKLZVgikcDS0lInZ4YvXrwIPT09jBkzBsB/ey4TEVUmL5ZhXZkZjoiIAADUrFkTAMtwZcEyTFrhxTIM6Nahep534cIF+Pj4wMXFBR4eHggNDRU7EmlAcnIy9zonraGrZTg8PBxA0TL85MkTrZ8Rr+xYhkkrFL6RFB5aDYDOzgyfP38efn5+AIDmzZuzDGuBgwcPws7ODr/++qvYUYg04sUyXLjTc1pamliRKkR4eDikUilcXV0B/FeGAeD27dtixtJ5LMOkFTIzM2FmZgap9P9f0paWllo/y/AimUyGx48fq07v2bBhQ9y7d0/kVFRWy5YtAwCsXr1a5CREZScIAhITE2Fvb6+6zsTEBCYmJkhOThYxWfkLDw+Hq6srDAwMAAANGjSAnp4el0qIjGWYtEJmZmaRJRLAf39207WZ4fPnzwOAama4QYMGSExMRGJiopixqAzkcjmCgoLQtGlTPHz4EHFxcWJHIiqTzMxM5OTkwMnJqcj1dnZ2SEpKEilVxSg8kkQhY2Nj1KtXj2VYZCzDpBUyMjJUh1UrZGVlhdTUVHECieTcuXOoVasWqlevDgDw9PQEANy/f1/MWFSMtLS0EhXbW7duISsrC9OnTwfw/x94iKqq+Ph4AICjo2OR6+3s7LT+g/uLZRgAGjduzGMNi4xlmLRCSkoKbG1ti1zn5OSketPVFefPn0fbtm1V39erVw9SqZRluJLJyMhA48aNUbduXTx58uS1Y0NDQyGVStGnTx+4u7vj3LlzFZSSqHwUfgh8cWbY3t5eJ2aGCw+rVqhNmzYIDQ1FXl6eSKmIZZi0wovrzwDA2dkZsbGxIiWqeFlZWbh69WqRMmxkZITatWtr7brhx48fQy6Xix1DbWvXrsWzZ8+QkZGBxYsXv3ZsaGgovLy8YGpqilatWuHy5csVlJKofLxqZtje3l6rJzCysrIQGxuLOnXqFLnez88PeXl53NlZRCzDpBVe3DMZ+K8MJycn68yn7ZCQEBQUFBQpw8B/SyW0sQz//PPPqFu3Lvr371/lDjn2999/o3///vjmm2+wfft21enEixMaGormzZsDAFq2bImrV69CoVBUVFQijYuLi4NUKn3pPdvV1RVRUVEipSp/T58+BQB4eHgUub5x48YwNTXF2bNnxYhFYBkmLVHczLCLiwsAICYmRoxIFe7s2bOwt7dHgwYNilzfoEEDrVsmERERgW+++QZ16tTBgQMHqtRs6aNHj3D16lUMGTIEw4cPR1paGg4dOlTs2Pz8fNy8ebNIGc7Ozta6/5+kW+Li4mBvbw89Pb0i19eoUQORkZFV7sNtSRUuiXpxZtjAwACdO3fGwYMHxYhFYBkmLZGQkPBSGS58w3n8+LEYkSpcUFAQ2rZtC4lEUuT6Bg0aIDw8/LWzj1XNypUrYWxsjCtXrsDZ2Rlbt259433Onz+PL7/8EmFhYa8cs337djg5OaFv374IDg7WZGSVQ4cOwdDQEN27d0e9evXg7e2NvXv3Fjv29u3byM/PV5Xh5s2bQyKRVKnyT/Si+Pj4l9YLA/+V4by8PK09Ysrjx49hbm7+0vIQAHj33Xdx7tw5rV4mUpmxDFOVl5WVhYSEBNSoUaPI9e7u7tDX18fDhw9FSlZx8vLycOHCBbRv3/6l2zw9PSEIAh48eCBCMs3Lzc3FmjVrMHLkSFhZWWHQoEHYsWMHCgoKXnmfGzduoHPnzvjll1/Qt29fKJXKl8YkJiZi3LhxaNCgAW7evAk/Pz907NgRI0eOxMWLFzWW//Dhw2jfvr3q6Cf9+vXDgQMHil37fOnSJejr66Np06YA/jtcoKenJy5duqSxPEQVTSaTFVuGC49+c/fu3YqOVCGePHkCDw+PlyYsAKBv374wMDDApk2bREhGLMNU5RXO9L24DktfXx8NGzbE1atXxYhVoS5fvozc3FzVyTae5+3tDQMDA605CsHmzZuRlJSETz/9FADwwQcfQCaT4cyZM8WOz8/Px/Dhw1G/fn2cOnUKt2/fxr///vvSuO+//x6CIGDnzp0ICwvD/PnzceHCBZw5cwZ+fn7Ys2dPmbNnZ2fj9OnT6Nmzp+q6fv36ITU1FUFBQS+Nv3jxInx8fGBiYqK6rkOHDjh69KjW/imZtF9YWNhLhxcDgLp168LY2FhrDzN269atl5axFbK3t8fgwYPx559/cp8AEbAMV2L5+flVck/5ila4c1jdunVfuq1t27Y4c+aM1heH48ePw8bGRjWD+Dxzc3O0b99eK9aj5ebm4scff8SAAQNQv359AEDr1q1Rs2ZN7Nixo9j7fPvtt7h79y42bdqEjh07onPnzvjhhx+KvCaePHmC5cuXY8aMGXBwcIBEIsGsWbOQlZWFR48eoX///hgyZAhu3LhRpvynTp1CXl5ekTLctGlTuLm5FVu2L168iNatWxe5rnfv3nj69CnXDVOVJAgCnjx58tK6WQDQ09NDhw4dXrmGvipTKBS4fv26aslTcT7//HM8e/YM+/fvr8BkBAAQqFIKDg4WbG1tBScnJ+Hu3buvHRsWFiY0a9ZMaNGihRAeHl5BCSuPCRMmCHXq1Cn2tiNHjggAhIsXL1Zwqorl6+srDBw48JW3//rrr4KRkZEgk8kqMJXmzZgxQzAwMHjp38RXX30l2NnZCbm5uarrUlNThenTpwsSiUT48ccfVdefPHlSACAcOHBAdd37778vuLi4CFlZWcU+b1ZWltCkSROhdu3aQnJycqnzjx49Wqhbt66gVCqLXD9lyhTB1ta2yPPfvn1bACBs3769yNjs7GzB3NxcmDp1aqlzVGU3btwQ1q5dKwwaNEiYNGnSSz9LXRIdHS0cP35ciI2NFTtKicXGxgoAhN27dxd7+6pVqwQ9PT0hPj6+gpOVr+DgYAGAEBwc/Npxfn5+wltvvaXTr2sxsAxXQsHBwYKFhYXQpk0boV69ekLz5s2F/Pz8YsdmZ2cLPj4+gpubm+Dm5iY0b95cyMnJqeDE4snIyBDs7e2FyZMnF3u7XC4X6tWrJ7Ro0ULIzMys4HQVIzw8XJBKpcKaNWteOSYpKUmwsrISRo0aVSXfZJOSkoTBgwcLAISFCxe+dPv9+/cFiUQirFq1SigoKBD+/vtvoVq1aoKZmZkwc+ZMoaCgQDVWqVQKb731ltC6dWuhoKBACAkJEQAIa9eufW2Gp0+fCjY2NkLPnj0FhUKh9jbk5uYKDg4OwrRp01667cmTJ4JUKhWWLFkiCIIgKBQKoUOHDkLt2rWFvLy8l8Z/++23gpGRkXDjxg21c1Rl0dHRgoWFhQBAdVm3bp3YsSqcUqkUFixYIBgaGgoABH19fWHDhg1ixyqRvXv3CgCEiIiIYm+Pj48XzMzMhIkTJ1ZwsvL1+eefCw4ODm987zh06JAAQNi/f38FJSNBYBmudE6fPi1YWFgI7dq1EzIyMoRLly4JUqlU+P77718aq1QqhXHjxgnGxsbCzZs3hdDQUMHIyEgYPXq0CMkrXnJystCrVy/BxMTktTPioaGhgpmZmdCwYUPh0KFDpSoylVV8fLzg6+srODs7v7Hsr169WgAgfPjhh8KzZ88qKGHZKJVK4ciRI0L16tUFa2trYevWra8cO2jQIMHS0lJo0qSJAEAYMGDAK7fz+PHjgkQiEfr37y/Uq1dPaNasWYleF4GBgYJUKhWmTJmi9oeKxYsXC3p6esK9e/eKvf2TTz4RpFKpMGTIEKFz586Cnp6ecPLkyWLHZmZmCs2aNRNsbGyE3377TUhKSlIrS1WkVCqF/v37C46OjsKDBw+E1NRUYejQoYKdnZ2QkJAgdrwKk5OTIwwdOlQAIEyfPl24f/++MHLkSMHQ0FC4cuWK2PHeaNy4cULNmjVf++9nyZIlAgBhypQpwoIFC4Rvv/22RNuWmZkpREZGFvkLkdhkMpmwevVqwcjISJgzZ84bxyuVSqFbt26Ck5OTEBYWVv4BSRAEQZAIgpYvpqwCBEHAo0ePsHnzZixYsADt27fHvn37YG5uDgD45ptvsGDBAsyaNQtt27aFQqFAfHw8tm7dimPHjmHlypUYN24cAGDdunUYNWoU+vfvj3nz5qFhw4ZibppGCIKA5ORkREVFISoqCpGRkbh06RJ2794NQRCwe/duvP322699jNu3b2Ps2LEICQmBra0tunTpgqZNm6J+/fqwt7eHra0tbG1tYWNjU2RnpcpCEARkZ2cjJSUFT548wf379xEUFIT9+/fDyMgIBw4ceGltaXE2bdqEqVOnIikpCa1atYKPjw/q1q2L2rVro3bt2qhVqxasra3LfVsUCgVyc3ORl5eH3Nxc5OTkICEhATExMYiJiUFkZCTu3r2La9euITY2Fl26dMGGDRvg6ur6yseNj4/HiBEjAAAzZsxAhw4dXptj69atmDlzJgDgwIEDaNSoUYny//HHH/jiiy/g7e0NLy8vuLm5oVq1arCxsYGVlRWMjIygp6cHfX196OnpISsrC0FBQfjtt98wfvx4/P7778U+rkKhwJIlS7Bjxw4IgoB58+bB39//lTmSkpIwffp0rFu3DhKJBF5eXmjSpAmcnZ1hb28PBwcH1X9tbW1hbGwMIyOjIpcXj/NaWT19+hTfffcdNm3ahJ07d2LgwIEA/jsqQaNGjeDm5oalS5firbfeglSqXbvCCIKA+Ph4XLlyBTt37sS+ffuQk5ODDRs2YPDgwQD+27/Ez88PycnJ2Lp1K5o1awYDAwORk78sMjISDRo0wOTJkzF//vxXjhMEAbNmzcLChQthZWUFiUSC5ORk9O/fH3PnzoW3t7fquitXruD48eM4evSoak2/VCpFhw4dMG7cOPTv3x8GBgaIj4/H7t27ERAQgGvXrkGhUMDMzAyWlpaQSqVQKpXw8vJC165d0atXL1SvXr1U26hQKPDkyRPcunUL+/btw44dOyCXy/H2229j7969MDU1feNjxMXF4a233kJaWhqmTJmCd999F/Xr19e613ZlwjIssh49euDWrVuIiYmBsbExJk2ahHnz5hV5I1MqlZg5cyb++OOPIseK9fb2xo8//ojevXsXecydO3fi888/h0wmg4WFBVxcXGBnZwczMzOYmZnB2NgYBgYG0NfXL/a/EokEUqkUEonktV8rlUoIggClUvnS16+7rfDr/Px85ObmvnTJyckp8n1SUhJyc3NV26enp4c6derg/fffxyeffIJq1aqV6GctCAIuXryIQ4cO4eTJk7h9+zbS0tJeGmdsbAxbW1uYm5vDwMCgyM9Gne/19PQglUpVl8IMr7rk5OQgPT0d6enpSEtLU31deHn+0GFSqRSNGzdG7969MXHixGKPW/kqGRkZ2LlzJ06dOoVbt27h6dOnyMjIUN1uY2ODatWqwc7ODnZ2drCysoKenp5qewRBQEFBARQKBRQKherr/Px8Vbl9vugW93VxhzYrZGRkhOrVq8PT0xPe3t7o3LkzunbtWql+ERw+fBi7du1CWFgYIiMjERsbi6ysrFeOt7Gxwbhx4/Ddd9/B0NBQo1lkMhkOHjyIy5cv4/bt20hISEBCQgJSUlLeeF99ff2XCrK+vn6Ry4uv51f9t/BS+D7xqq8L3z9eRaFQIDs7G9nZ2cjKykJYWBiioqJgZWWF33//XfWBp9DNmzfx/vvv4/79+7CyskL9+vVRo0YNWFlZwdLSskSlsPDfYEnfu8rj6+evKygoQHp6OlJSUpCSkqJ6/6tfvz7ee+89DB06VLUDaaGnT5+iS5cuCA8Ph5GREdzd3eHk5ARLS0uYmJjA1NQUpqamqq+NjY2L/Tf14v+b4v5fleS6F7/Pzs7GmjVrIJVKcePGDdjY2Lzx/4tCoYC+vj4KCgqwefNmzJ07F8+ePVNNFGVmZgL472yj3bp1Q8eOHeHk5IRnz57hn3/+wenTp6Gvrw9ra2skJydDIpGgU6dO8PX1hYmJCbKyspCenq762V+7dg0XL16EUqlE48aNUbduXdjb26s+SBoaGsLQ0FD1fp2Tk4OUlBTIZDLIZDLExsYiISFBtXOuh4cHPv30UwwfPvyl4+C/SUJCAmbMmIFt27YhJycHxsbG8PDwQM2aNWFjYwNra2vV6/vFf4tfffWVWs9FLMOi69evHxo2bAhfX1906tRJdezR4uTl5SE2Nhb6+vqws7N77Qxmfn4+AgMD8eDBA8TExCA5ORlZWVnIyspCXl4e5HI5FApFsf99/s35xTfq5//7/C/AF3/xvel7iUQCIyMjGBsbv/FibW0NNzc3uLq6ws3NDU5OThqZ0RIEAYmJiUhOTkZKSgqSk5OLfJ2ZmQm5XK66FP58SnpdQUGB6udVUFCg+uVQWAZevJiYmMDS0lL1S/z5r5//b61ateDh4aGxUiUIApKSkhAWFoanT58iLCwMMpkMSUlJSEpKQlpammobCrejsBwVFiY9PT0YGBjAxMTkpf+vz3//qtuMjIzg4OAAFxcX2NjYvLYsVVZyuRxpaWnIz89X/awUCgWMjIzg6upa4dukUCiQlJSEhIQE1WnJCz+MFF5e/D4vL6/IB53nX8+Fr4FX/Vfd4veqn4eenh5MTU1hZmYGU1NTVK9eHS1atECvXr1eOatWUFCA4OBgnD17Fo8ePUJ0dLTqQ+Xrjj/9vOJK+5tKvTofANQda2VlBRsbG9jY2MDV1RXe3t6oU6fOGz9IXLhwAVevXkVERARkMhkyMzORnZ2NnJwc1YeM7Oxs5ObmvnSUnTd9X9LrihsjlUrRpUsXLFmypNSzrnl5eThx4gTu3LkDPT09VKtWDU2aNIGnp2exP5ebN2/i3LlzSE1NhbOzM/r27fvGUpqcnIwjR47g+PHjiIqKQmJiIvLy8pCfn6+6AICJiYnq91O1atXg7Oys+q+HhwcaNmyo1iTFq2RnZ+Ps2bO4d+8eHj9+jIiICKSlpSE1NRVpaWlQKBQv/VtMTk4u8/PqGpZhIiIiItJZlefvjkREREREFYxlmIiIiIh0FsswEREREekslmEiIiIi0lksw0RERESks1iGiYiIiEhnsQwTERERkc5iGSYiIiIincUyTEREREQ6i2WYiIiIiHQWyzARERER6Sx9sQPoMqVSiZiYGFhYWEAikYgdh4iIiKowQRCQkZEBFxcXSKWc7ywpluFS8PLyQo8ePfDrr7+W6XFiYmLg5uamoVREREREQGRkJFxdXcWOUWWwDJeCUqnUyCcuCwsLAP+9aC0tLcv8eERERKS70tPT4ebmpuoXVDIsw6WgVCo1sqyh8DEsLS1ZhomIiEgjuPRSPVxQUgqCIHAtDhEREZEWYKMrBU3NDBMRERGRuFiGS0EQBJZhIiIiIi3AMqwmQRAQFxcHBwcHsaMQERERURmxDKvp5s2byM7ORpMmTcSOQkRERERlxDKspmPHjsHExAR+fn5iRyEiIiKiMmIZVtPp06fRtm1bGBkZiR2FiIiIiMqIZVgNgiDgwoULeOutt8SOQkREREQawDKshsTERCQlJcHb21vsKERERESkASzDaihcGlFQUCByEiIiIiLSBJZhNZiamkIqlSIxMVHsKERERESkASzDatDX10ezZs0QHBwsdhQiIiIi0gCWYTV17NgRp0+fFjsGEREREWkAy7Ca3nrrLURHRyM6OlrsKERERERURizDamrVqhUA4MqVKyInISIiIqKyYhlWU7Vq1QCAO9ERERERaQGWYTWlp6cDACwsLEROQkRERERlxTKspsK1wtWrVxc5CRERERGVFcuwmkJDQwEAdevWFTkJEREREZUVy7AakpOTMWfOHHTs2BGOjo5ixyEiIiKiMmIZLiGlUokRI0YgPT0dGzZsEDsOEREREWmAvtgBqorFixfjwIEDOHDgANzd3cWOQ0REREQawJnhErh79y6++eYbzJgxA/7+/mLHISIiIiINYRkugcWLF8PNzQ3ffvut2FGIiIiISINYhkvg3r178PPzg5GRkdhRiIiIiEiDWIZLoEmTJjh79izy8vLEjkJEREREGsQyXAKff/45oqKisG7dOrGjEBEREZEGsQyXQFhYGJRKJezs7MSOQkREREQaxDL8Br/88gv69OmDXr16oV+/fmLHISIiIiIN4nGGXyAIAp49e4aLFy8iMDAQ69evx4wZM/DDDz9AKuVnByISR05ODkxMTMSOQUSkdXSyDMvlcsTFxSEmJgaxsbGIiYlBTEwMbt26hQsXLiAuLg4AULt2bfz888+YOnWqyImJSJfJ5XI0a9YMP/zwA/r37y92HKIyUygU+OqrrxAYGIiCggI4OTlhw4YNqFWrltjRyl1CQgJ+/fVXXL58Gfr6+rC1tUXXrl0xcOBAWFpaih1PJ2lNGRYEAampqYiPj1dd4uLiVKW38BIbG4v4+HgIgqC6r76+PqpVq4Z69eph9OjRaNOmDVq3bg0HBwcRt4iI6D95eXlQKpUwMDAQOwqRRgwfPhxBQUGwsLCAoaEhIiIi4O/vj6tXr8LY2FjseOXmxIkT+Oyzz6BUKmFjYwNDQ0NER0fj/Pnz2L59Oz766CN88MEHYsfUOZW6DAuCgPT09CJltrDgPl94C7+Wy+VF7q+vrw9HR0dUr14d1apVQ5s2beDi4lLkUq1aNdjb23MJBBFVWubm5njw4IHYMYg04sGDBzh+/DgcHBxQq1YtWFpa4tatW0hISMDKlSsxadIksSOWi5iYGHz22WcwMDCAq6srTExM4ODggHv37sHGxgZ6enrYunUrOnbsiGrVqokdV6eIWoblcjnu3LmD+/fvFym8MTExiI6ORkxMDLKzs4vcx9LSEo6OjnBycoKjoyNatWql+vr56x0dHWFjYwOJRCLS1hEREdGLli1bpjpCk52dHRo1aoTw8HAkJydj06ZNWluGFy9ejPz8fDg6OqJJkyZo3bo1Lly4AD8/P1y4cAFt2rRB9erVsXfvXowfP17suDqlQstwYmIijh49isuXL+PSpUu4du0acnJyAACmpqaoXr06XFxcUL16dbRs2bLIDG7h7C53ICEiIqq6zp8/Dz09PeTm5qJbt264desWDAwMIJVKoVAoEBMTAxcXF7Fjaty5c+dgaGgIQ0NDnD9/HvHx8WjYsCECAwPx1ltvwd3dHVeuXEFubq7YUXVOhZbhcePG4d9//wUAdO7cGd9//z1atWoFb29vWFpachaXiIhIy2VkZEAikcDd3R2rV69Gw4YNYWVlBYlEAolEgtjYWK0swzk5ORAEQbVsc+zYsejTpw/c3NwAAMnJySgoKOD+SiKo0DK8fPlyuLm5YeXKlTh58iQuXbqEmjVrFntxd3eHnZ0dCzIREZEWkUqlkEgkyMrKgqmpKUJDQ2Fubg6lUglBELSyCAOARCKBIAgwMDBASkoKjh8/Dk9PT1y/fh3Pnj2Dg4MD5HI5unfvLnZUnVOhZdjJyQm//fYbvvrqK4SEhCA8PFx1OX36NMLDw5GZmakab2hoCEdHRzg7O8PJyem1F1tbWxZnIiKiSs7R0REpKSlIS0vD77//Dj09PXz00UdQKpWqoztpIysrKyQmJiIsLAzm5ubYs2cP9PX14eHhgZycHOTl5cHMzAwNGzYUO6rOEWUHOhcXFwwYMOCl6wVBQHJysqogx8bGqo4eERcXhzt37uDkyZOIi4tTrTUuZGBgoNqBrrjL84Xa1taWR48gIiISwcCBA/Hdd98hMzMTCxYsQH5+PrKzs1FQUIDhw4eLHa/cfPjhh1i4cCEkEgnu3r2LgoICWFlZITk5GXK5HNbW1li/fr3YMXWSRHj+gLtVhCAIyMzMhEwmK1KWX7wU3v7iESn09fXh4OAANzc31KpVq9glGhWxo156ejqsrKyQlpbGA20TEZFOSE9Ph5eXF4yNjeHg4ABBEBAdHQ0TExPcvHlTa48znJOTg9atW0OhUMDCwgIKhQL5+fmQSqVo3749fvnlFxgaGpbpOdgrSqdKlmF1ZWZmFluUIyIiVLPQERERKCgoUN3H2dkZ9evXx8iRIzF48OBy+cfJFy0REemigIAATJo0SfV7V09PD//88w9atGghcrLyFR4ejo8//hjR0dHQ19dHgwYNMHv2bDRu3Fgjj69urwgKCsLixYsRGhqK2NhY7NmzB/369VPdLggC5s6dizVr1iA1NRV+fn5YsWIF6tatqxqTnJyMzz77DPv374dUKsWAAQPw+++/w9zcXCPbVBF0ogyXhEKhQHR0tKoch4WFISQkBEePHoW9vT1WrVql8dOgsgwTEZGuSktLQ1BQEHJzc9GlSxfY2tqKHanCCIJQLvs5qdsrDh8+jPPnz6N58+bo37//S2X4p59+woIFC7Bx40bUqlULs2fPxq1bt3D37l3VJGHPnj0RGxuLVatWQS6X46OPPkLLli2xdetWjW9feWEZfoOHDx+ic+fO6N27N1auXKnRx2YZJiIiIk0pS6+QSCRFynDhkT2mTp2KL7/8EsB/H2CcnJywYcMGDB48GPfu3YOXlxcuX76smtU/cuQIevXqhaioqCpzZBDuRfYG9erVQ61atZCcnCx2FCIiIqI3Sk9PL3LJy8tT+zHCwsIgk8nQtWtX1XVWVlZo3bo1QkJCAAAhISGwtrYusryla9eukEqluHjxYtk3pIKwDJdAhw4dcPTo0Zd2xCMiIiKqbNzc3GBlZaW6LFiwQO3HkMlkAP47LO7znJycVLfJZDI4OjoWuV1fXx+2traqMVUBy3AJDB06FGlpaTh16pTYUYiIiIheKzIyEmlpaarL119/LXakSo1luATq168PNzc3HDhwQOwoRERERK9laWlZ5GJkZKT2Yzg7OwMA4uLiilwfFxenus3Z2Rnx8fFFblcoFEhOTlaNqQpYhktAIpFg5MiR2LJlC7KyssSOQ0RERFSuatWqBWdnZ5w4cUJ1XXp6Oi5evAhfX18AgK+vL1JTUxEaGqoac/LkSSiVSrRu3brCM5eWKGegq4osLS2RkZGBixcvonPnzmLHISIiIiqTzMxMPH78WPV9WFgYrl+/DltbW9SoUQOTJk3C999/j7p166oOrebi4qI64kSDBg3Qo0cPjBkzBitXroRcLsfEiRMxePDgKnMkCYBl+I0EQcDChQsxc+ZMTJgwAR07dhQ7EhEREVGZXblyBZ06dVJ9P2XKFADAiBEjsGHDBnz11VfIysrC2LFjkZqairZt2+LIkSNFTkS2ZcsWTJw4EV26dFGddOOPP/6o8G0pCx5n+DWUSiW+/PJLLFmyBN9++y3mzJmj0YNk8zjDREREpCnsFaXDmeFXkMvlGDVqFDZv3oxly5bh008/FTsSUYkplUoEBATA09MTnp6eYschIiKqtLgDXTEEQcCHH36I7du3Y9u2bSzCVOXMnDkTt2/fxhdffIGnT5+KHYeIiKjSYhkuxoYNG7Br1y7s2LED77//vthxiNQSFRWFsLAwzJo1CxMnTkRgYKDYkYiIiCotluFiHD58GO3bt8e7774rdhQite3fvx8ffPABAMDAwAAFBQUiJyIiIqq8WIaLYWNjg2fPnpXqXN5EYouKikLt2rUBAOfPn0ezZs1ETkRERFR5sQwXY/z48ZDJZBg8eDBycnLEjkOkljp16uD69euIjIzEpUuX0KZNG7EjERERVVosw8Vo0qQJdu/ejSNHjqBly5a4c+eO2JGISmzw4MHYu3cvxo4di+XLl0Mq5T9zIiKiV+FvyVfw9/fH5cuXAQAtW7bEmjVrwEMyU1VgYmKCf//9F4cPH4aHh4fYcYiIiCo1luHXaNSoES5duoThw4dj7NixGDNmDNcRExEREWkRnnTjDUxNTbFy5Uq0adMG48aNQ3p6OrZv384/PRMRERFpATa6Eho5ciR27NiBXbt2YdWqVWLHISIiIiINYBlWQ79+/fDBBx/gl19+ETsKEREREWkAy7Ca+vTpgydPniA5OVnsKERERERURizDarK0tAQA5ObmipyEiIiIiMqKZVhNSqUSALgDHREREZEWYKNTE8swERERkfZgo1MTyzARERGR9mCjUxPLMBEREZH2YKNTE8swERERkfZgo1MTyzARERGR9mCjU5NEIgHw/6WYiIiIiKoulmE1mZiYAABycnJETkJEREREZcUyrCYzMzMAQHZ2tshJiIiIiKisWIbVZGxsDIAzw0RERETagGVYTYIgAOAOdERERETagI1OTQUFBQBYhomIiIi0ARudmgqXSeTl5YmchIiIiIjKimVYTebm5gCAjIwMkZMQERERUVmxDKuJZZiIiIhIe7AMq4nLJIiIiIi0B8uwmgwMDAAAcrlc5CREREREVFYsw2oqLMMKhULkJERERERUVizDauLMMBEREZH2YBkmIiIiIp3FMqymlJQUAICNjY3ISYiIiIiorFiG1ZScnAwAsLW1FTkJEREREZUVy7CaWIaJiIiItAfLsJqSkpIAsAwTERERaQOWYTVxZpiIiIhIe7AMqyk5ORkWFhaqQ6wRERERUdXFMqym5ORkzgoTERERaQmWYTWxDBMRERFpD5ZhNd2/fx81a9YUOwYRERERaQDLsBoePHiAM2fOoFu3bmJHISIiIiINYBkuoYyMDLz//vtwd3fHyJEjxY5DRERERBqgL3aAqiAuLg69evVCWFgYzp07B2NjY7EjEREREZEGsAy/wePHj9G9e3fk5OQgKCgI3t7eYkciIiIiIg3hMonXiIyMRMeOHWFgYICQkBA0btxY7EhEREREGhEUFIQ+ffrAxcUFEokEe/fuLXL7yJEjIZFIilx69OhRZExycjKGDBkCS0tLWFtbY9SoUcjMzKzArSg7luFXCAkJgZ+fH/T19XHq1Cm4u7uLHYlKSBAEnD59WuwYRET0BhERERg1ahSWLl0qdhSdlJWVhcaNG2PZsmWvHNOjRw/ExsaqLtu2bSty+5AhQ3Dnzh0cO3YMBw4cQFBQEMaOHVve0TWKyySKER0djY4dO6JFixbYsWMHqlWrJnYkKoH8/Hz4+flBKpXi0qVLEARB7EhERPQaY8eOxe+//44vv/wSH3/8MczMzMSOpFN69uyJnj17vnaMkZERnJ2di73t3r17OHLkCC5fvowWLVoAAJYuXYpevXrh559/houLi8YzlwfODBfj+PHjyM/PR0BAAFxdXcWOQyV05swZvPfee7h06RK6d+8udhwiInoDqVSK+vXrw9nZGenp6WLH0Rrp6elFLnl5eaV+rNOnT8PR0RH169fH+PHjkZSUpLotJCQE1tbWqiIMAF27doVUKsXFixfLtA0ViWW4GF5eXgCAwMBAkZOQOq5duwY7Ozt8+OGH2L9/v9hxiIjoDUxMTHD69Gk8fvwYTk5OYsfRGm5ubrCyslJdFixYUKrH6dGjBzZt2oQTJ07gp59+wpkzZ9CzZ08UFBQAAGQyGRwdHYvcR19fH7a2tpDJZGXejorCZRLFaNGiBd577z2MHj0aJiYmePfdd8WORCWgr6+PuXPn4ujRozAwMBA7DhERvcHy5cuxbNkyzJs3D1Ip5+c0JTIyEpaWlqrvjYyMSvU4gwcPVn3t7e0NHx8feHh44PTp0+jSpUuZc1YWfOUVQyKRYOPGjejZsyf69++P8ePHIzs7W+xY9AYff/wxtmzZoprZJyKiys3JyQnz5s1Du3btxI6iVSwtLYtcSluGX1S7dm3Y29vj8ePHAABnZ2fEx8cXGaNQKJCcnPzKdcaVEcvwK5iYmGDXrl1YuXIlNmzYgJYtW+Lp06dix6LXsLa2RocOHcSOQUREpJWioqKQlJSkOrCAr68vUlNTERoaqhpz8uRJKJVKtG7dWqyYamMZfg2JRIJx48bhypUrkMvlaNeuHZ48eSJ2LCIiIqIyy8zMxPXr13H9+nUAQFhYGK5fv46IiAhkZmZi2rRpuHDhAsLDw3HixAm88847qFOnjmon9QYNGqBHjx4YM2YMLl26hPPnz2PixIkYPHhwlTmSBABIBB5/qkRkMhn8/Pzg5uaGU6dOQSKRlPkx09PTYWVlhbS0tCJre4iIiIjUpW6vOH36NDp16vTS9SNGjMCKFSvQr18/XLt2DampqXBxcUG3bt0wf/78Ijs7JicnY+LEidi/fz+kUikGDBiAP/74A+bm5hrdtvLEMqyG/fv3o2/fvggNDUWzZs3K/Hgsw0RERKQp7BWlw2USavD19QXw30GmiYiIiKjqYxkugdzcXGzcuBEtWrSAoaEh/Pz8xI5ERERERBrAMvwKkZGRWLNmDd555x3Y2dlh5MiRaNasGa5du4aaNWuKHY+IiIiqMEEQEBkZyTPvVQI86Qb+m/m9evUqLly4gAsXLiAkJARRUVGQSqXw8/PD3Llz0adPHzRo0EDsqERERFTFnT17FjNmzICRkREUCgXc3NywaNEiVK9eXexoOknndqATBAHPnj1Tld4LFy7g2rVrkMvlMDExQYsWLdCmTRu0bt0aHTt2hJ2dXbll4UJ3osrj3Llz+PHHHyGVSiEIAsaNG4e+ffuKHYuItMyTJ08wcOBA2NnZwdPTE4Ig4N69eygoKMCGDRtQq1atUj82e0Xp6EQZzs/Px+nTpxEQEICAgABERkYCADw8PODr64s2bdqgTZs28PHxqdDT+PJFS1Q5REVFYfTo0fj444+xbds2tGrVChkZGcjNzcWvv/4qdjwi0iLDhg3D7du34eDggJEjRyIwMBCOjo6IjIyEXC7H7t27S/3Y7BWlo/XLJPbt24cRI0YgLS0N7u7u6NevH95++220adMGDg4OYscjokrg4MGD6NWrF/755x9s27YNGzduREJCAkxMTBAQEMAZYiLSCEEQcOPGDZibm+Pbb7/Fv//+iyVLlmDQoEGwtraGQqFAeno6i2wF0+od6B48eIBBgwahYcOGuH79OsLCwvDHH3+gT58+LMJEpJKVlYX4+Hj069cPxsbGGDduHO7du4fPPvsMu3btEjseEWmJlJQUCIIAfX19rF69GtWqVcOqVatQp04dVK9eHWZmZkhMTBQ7ps7R6jJsZ2eHJk2aIDg4GN9//z22bt3KFxkRvaRp06bIzMzE8ePHAfx3ilKFQgG5XA4jIyOR0xGRtigoKIBEIoFEIkHLli2xd+9etG/fHnFxcUhMTER2djYn60Sg1WXY3t4ewcHBWLlyJZ48eYKhQ4fC0dERrVu3xjfffIOjR48iMzNT7JhEJLL27dvjzp07qF69Onr06IG+ffti1qxZmDZtGj766COx4xGRlrC1tYVUKoVUKkXXrl1x9uxZGBoawtjYGCkpKcjJyYGFhYXYMXWOTuxAVyg2NhaBgYE4fPgwTp06hYSEBOjp6aF58+bo0KEDunfvjnbt2sHQ0LBC8nChO1Hl8fjxY4wdOxZdunSBRCLBiRMn8MUXX3C9MBFpVM+ePZGbmws9PT0YGRnBwsICSqUSNWvWRO3atfHJJ5+U+rHZK0pHp8rw8wRBwIMHDxAUFISgoCCcPHkSsbGxMDc3R5cuXfDuu+/igw8+KNdizBctUeUil8tx/vx5SKVS+Pr6VujRZYhIN+zatQubNm2CmZkZ3N3dcfXqVfj6+uLq1avYu3cv9PT0Sv3Y7BWlo7Nl+EWCIODmzZs4fPgwDh06hHPnzsHFxQXTpk3DZ599BqlU8ytK+KIlIiLSLYIgYMiQIahZsyZMTU2RmJiImJgY/PXXX2XuAuwVpcMy/Ar37t3DzJkzsXfvXjx+/BgeHh4afw6+aImIiHSPQqFAYGAgcnJy4OHhgSZNmkAikZT5cdkrSkfrjzNcWg0aNMD48eOxd+9exMXFlUsZJiIiIt2jr68Pf39/sWPQ/2j10STKqkuXLvD29saIESNUZ60jIiIiIu3BMvwaenp62LdvHxQKBYYMGSJ2HCIiIiLSMJbhN6hVqxbmzp2Lc+fO4fHjx2LHISIiIiINYhkugUGDBsHV1RVffvml2FGIiIiISINYhkvA1NQUixcvxr59+3Dq1Cmx4xARERGRhrAMl9CgQYPQqFEjLF++XOwoRERERKQhLMMlpFAokJKSAisrK7GjEBEREZGGsAyX0M6dOxEdHY1JkyaJHYWIiIiINIRluIS2bduGdu3aoVGjRmJHISIiIiINYRkuoUuXLqFz585ixyAiIiIiDWIZLqGUlBTY29uLHYOIiIiINIhluIScnZ15SmYiIiIiLcMyXEJt27bF4cOHIQiC2FGIiIiISENYhkto8ODBuHXrFh4+fCh2FCIiIiLSEJbhEmrXrh0A4Pz58yInISIiIiJNYRkuIQMDA7i4uCAgIEDsKERERESkISzDJXD27Fn4+voiIyODJ90gIiIi0iIsw6+RkZGBjz/+GO3bt4epqSnOnz+Pjh07ih2LiIiIiDSEZfgVLly4gCZNmmDnzp1Ys2YNQkJC4O3tLXYsohK5ceMGpkyZgsuXL4sdhTQgNjYWH3zwAQIDA8WOQkSkdViGXyAIAhYvXoy2bdvC0dER169fx+jRoyGV8kdFVcOdO3cwffp0jBgxArNmzUJERITYkaiMfvnlF3z66af49ddfxY5CRKR12PBeMHfuXHz11Vf46quvcPbsWXh4eIgdiajEBEHA9OnTsWrVKujr62PKlCnYvXu32LGojB4+fIi2bdvCwMBA7ChERFqHZfg5sbGxWLBgAWbPno0ff/wR+vr6YkciUsvt27dRp04d7NixA506dYKrqyuio6PFjkVl5Ovri48++ghubm5iRyEi0jpse8+Jjo6GQqHgTnJUZV28eBEdOnTAP//8Ay8vL0RHR8PW1lbsWFRGM2bMQGhoKJo2bSp2FCIirSMReH5hFaVSiYYNGyI/Px8nTpxAzZo1y/X50tPTYWVlhbS0NFhaWpbrc5Fu2LBhA0xMTGBgYIB79+4hNzcX3bt3R9u2bcWORkRE5Yy9onS4TOI5UqkUR44cAQD4+Phg5cqVUCqVIqciKrmuXbtiy5Yt6NevHz788ENcuXIFfn5+YsciIiKqtFiGX+Du7o7Q0FAMHjwY48ePR6dOnfDw4UOxYxGViKurKwYOHIiePXti9OjRWLlyJSQSidixiIiIKi0uk3iNU6dOYcyYMYiKisK3336LqVOnanRvbv45g8pLVlYWjI2NoaenJ3YUIiKqINrSK06dOoUTJ07g/PnziIqKQmJiIkxNTeHg4ABvb2906NABvXv3hrOzs0aej2X4DbKzszF37lz8+uuv6NixI/bt2wdzc3ONPLa2vGiJiIhIfFW5V2RlZeGPP/7AmjVr8OzZMxTWU2NjY9ja2iInJwdpaWmq5asGBgbo06cPJk+eXOblgFwm8QampqZYvHgxTp48icuXL6N///5cR0xERESkIStXrkSdOnXwzTffwNLSEvPnz8eJEyeQlpaG7OxsREVFISkpCXK5HPfv38fGjRsxaNAgHD16FO3bt0f//v0RFhZW6ufnzLAajh8/jrfffht//fUXRo0aVebHq8qf4IiIiKhyqaq9wsDAAB988AG++uorNGrUqMT3y8nJwZYtW7BgwQKMGDECc+bMKdXzswyrqX///nj69CmuX79e5seqqi9aIiIiqnyqaq94+PAh6tWrV+r7FxQUICIiArVq1SrV/blMQk3vvPMObty4gczMTLGjEBEREVV5ZSnCAKCnp1fqIgywDKvN3t4eAFiGiYiIiLQAy7Ca8vPzAUCjh1gjIiIiqmgLFixAy5YtYWFhAUdHR/Tr1w8PHjwoMiY3NxcTJkyAnZ0dzM3NMWDAAMTFxRUZExERAX9/f5iamsLR0RHTpk2DQqEoc76CggI8e/YMISEhCAoKKvaiCfoaeRQdUliGDQ0NRU5CREREVHpnzpzBhAkT0LJlSygUCsycORPdunXD3bt3YWZmBgCYPHkyDh48iJ07d8LKygoTJ05E//79cf78eQD/FVZ/f384OzsjODgYsbGxGD58OAwMDPDjjz+WKpdSqcSPP/6I33//HcnJya8dW1BQUKrneB53oFPT33//jeHDhyM3NxdGRkZleqyqutCdiIiIKp+y9oqEhAQ4OjrizJkzaN++PdLS0uDg4ICtW7di4MCBAID79++jQYMGCAkJQZs2bXD48GH07t0bMTExcHJyAvDfodKmT5+OhISEUk0eTp8+HYsXL4ajoyN69+6NatWqQV+/+PnbuXPnqv34L+LMsJq4TIKIiIgqs/T09CLfGxkZlWgCLy0tDQBga2sLAAgNDYVcLkfXrl1VYzw9PVGjRg1VGQ4JCYG3t7eqCANA9+7dMX78eNy5cwdNmzZVO//GjRtRv359XL58WWMnOnsdrhlWU35+PvT19SGV8kdHRERElY+bmxusrKxUlwULFrzxPkqlEpMmTYKfn5/qWL8ymQyGhoawtrYuMtbJyQkymUw15vkiXHh74W2lkZmZCX9//wopwgBnhtWWn5/P9cJERERUaUVGRhZZJlGSWeEJEybg9u3bOHfuXHlGKxEfHx/ExMRU2PNxelNNmlgrTERERFReLC0ti1ze1FsmTpyIAwcO4NSpU3B1dVVd7+zsjPz8fKSmphYZHxcXB2dnZ9WYF48uUfh94Rh1ffPNN9i7dy+uXr1aqvurizPDaoqLi3vpzwFEREREVY0gCPjss8+wZ88enD59+qUTVzRv3hwGBgY4ceIEBgwYAAB48OABIiIi4OvrCwDw9fXFDz/8gPj4eDg6OgIAjh07BktLS3h5eZUql7+/PzZs2ICePXuib9++aNy48St3CBw+fHipnuN5LMNqioiIgIuLi9gxiIiIiMpkwoQJ2Lp1K/bt2wcLCwvVGl8rKyuYmJjAysoKo0aNwpQpU2BrawtLS0t89tln8PX1RZs2bQAA3bp1g5eXF4YNG4ZFixZBJpNh1qxZmDBhQqn/kp6Xl4f9+/cjMTERa9euBQBIJJIiYwRBgEQiYRmuaAqFAqdOncKnn34qdhQiIiKiMlmxYgUAoGPHjkWuX79+PUaOHAkAWLJkCaRSKQYMGIC8vDx0794dy5cvV43V09PDgQMHMH78ePj6+sLMzAwjRozAvHnzSp1rypQp2LJlC3x8fDBw4MDXHlpNE3icYTWcPXsW7du3x4ULF9C6desyPx6PM0xERESaoi29wtHREe7u7ggJCSnXElyIO9CpYd++fXByckLLli3FjkJERESklXJzc9GpU6cKKcIAy7Ba9uzZg3feeYfHGCYiIiIqJ82bN8fjx48r7PnY6kpILpfj6dOnqgXjRERERKR5P/74I44cOYIDBw5UyPNxB7oSkkqlsLS0RGRkpNhRiIiIiLTWsWPH0LFjR7zzzjvo3LnzKw+tJpFIMHv27DI/H3egU8P777+Pp0+f4vLlyxp5PG1Z6E5ERETi05ZeUdLlqBKJBAUFBWV+Ps4Mq6FPnz4YNmwYYmJieKxhIiIionJw6tSpCn0+lmE19OzZEwBw8uRJDB06VOQ0RERERNqnQ4cOFfp83IFODXZ2dnBwcEB4eLjYUYiIiIhIAzgzrKYXTwdIREREROUjKSkJN27cQFpaGqysrNC4cWPY2dlp9DlYhtUgCAJSUlJgY2MjdhQiIiIirRUeHo4vvvgCBw8exPPHepBIJOjduzd+++031KxZUyPPxTKshszMTMjlco1/IiEiIiKi/zx58gR+fn6Ij49H3bp14efnBycnJ8TFxSE4OBgBAQG4cOECgoODUbt27TI/H8uwGpKSkgCAZZiIiIionEyfPh0JCQlYuXIlxowZU2SJqiAIWL16NT799FNMnz4dO3fuLPPzsQyrITExEQDLMBEREVF5OXHiBPr27YuxY8e+dJtEIsG4ceNw6NAhHD9+XCPPx6NJqOH27duQSCQamZInIiIiopcVFBSgYcOGrx3TqFEjjZxwA2AZVsvBgwfRrFkzWFtbix2FiIiISCs1a9YMd+7cee2YO3fuoEWLFhp5PpZhNZw9e1Z14g0iIiIi0rwffvgBhw8fxl9//VXs7atXr0ZgYCC+//57jTwf1wyXkCAISExM5GmYiYiIiMrRiRMn0KlTJ4wbNw6//PJLkaNJnD9/Hg8fPkT37t1x/PjxIuuGJRIJZs+erfbzSYTnD95GryQIAkxNTbFgwQJMmjRJI4+Znp4OKysrpKWlwdLSUiOPSURERLpJW3qFVFq6hQsSiaRU64g5M1wC+fn5+O2335CbmwsvLy+x4xARERFprVOnTlXo87EMv0AQBKSnpyMsLAynT5/GsWPHcObMGWRlZWHGjBno1q2b2BHpFXJzc5Gfn1+lPw0TERHpug4dOlTo8+lUGc7Ly0NSUhKio6MRFRWF6Ojoly5RUVHIysoCABgZGaFt27aYPXs2unXrhqZNm4q8BfQq4eHh6N27N9LS0mBra4shQ4Zg2rRpRQ7UTURElUdMTAxmzpyJO3fuwMPDAz/88AM8PDzEjkWVTFJSEm7cuIG0tDRYWVmhcePGGj/fQ5VbMywIAjIyMpCcnIyUlBQkJyerLm/6Pjs7u8hjGRoawsXFBdWrV3/p4ubmhqZNm8LU1LTctkVb1vZUBj169MDt27dhaWmJrKwsJCcno3///ti4caPY0YiI6AVPnz6Fr68vlEolTExMkJ+fD319fVy4cAGurq5ix6uytKlXhIeH44svvsDBgwfxfFWVSCTo3bs3fvvtN9SsWVMjzyVaGZbL5UhJSVG70KakpBS7OFoqlcLGxga2trawtbV95dd2dnaqAmxvb1/qRdqaoE0vWjGFh4ejV69eSEpKQo0aNWBmZoawsDDEx8fj2LFjaNu2rdgRiYjoOT4+PoiIiECtWrVgaGiI7OxsxMTEwNvbG6dPnxY7XpWlLb3iyZMn8PPzQ3x8POrWrVvkaBLBwcF4+PAhHB0dERwcrJEToWlsmYRSqURycjLi4uIQHx+P+Ph41dcv/jcxMREZGRnFPo6JiclLJdbLy6tIoX2x4Nra2sLCwkLUYkviuX//PtLT01FQUABbW1vUqlULUqkUSUlJGD9+PG7duiV2RCIi+p/bt28jPDwcZmZmqFu3LnJyciCXy5GQkIDw8HCcOXOmwteMUuUyffp0JCQkYOXKlRgzZkyRJY+CIGD16tX49NNPMX36dOzcubPMz1eqMiwIAm7duoU9e/bg0KFDiIiIQEJCwksztkZGRnBycoKTkxMcHR3RsGFDdOrUCfb29rCzsyu24BobG5d5o0i36OvrIy8vDwUFBejUqRN69eqFL7/8EsbGxoiIiMCDBw9Qv359sWMSkQZt2bIFhoaGeO+998SOQmraunUrBEGAkZERatasiXnz5qFDhw7Q09ODVCrF+vXrWYZ13IkTJ9C3b1+MHTv2pdskEgnGjRuHQ4cOFTnGcFmoXYavXLmCwYMH48mTJwCAGjVqYMCAAWjUqFGR4uvo6AgLCwvuwETlztPTE/n5+RAEAXXr1oWPjw/ee+893L59G4IgYOnSpfjzzz/FjklEGuTt7Q0rKyuxY1ApXLt2Dfr6+jA0NMTgwYNhbGwMb29vREdHQ09PD9HR0WJHJJEVFBSgYcOGrx3TqFEjjR2CTe0ybGpqCi8vL0ilUjx58gQRERFYtmwZbGxs4Onpidq1a8POzq7IjO+LF2tra+jp6WlkA4hcXV1hYGCArKwsREZGAvjvk6OhoSGkUimuXLkickIi0jQfHx+xI1Ap5efnQyKRQE9PD3K5HAAQFxcHQRAgCALMzMxETkhia9asGe7cufPaMXfu3EGLFi008nxql2EvLy8EBAQA+O9QZU+ePMH9+/dVl/DwcNy4cQPJyclISkpCXl5esY9jZWX1yrL84vIJLqOgN/Hx8cG5c+ewdu1anDhxAklJSao/uXEtORFR5VGzZk2EhoaioKAAc+bMQYsWLVQ7xysUCrz77rtiRySR/fDDD+jSpQv++usvjB49+qXbV69ejcDAQJw4cUIjz1emHeiMjIzg5eX12rOy5eTkvPboEIWXxMREPHz4UHV7enp6sY9namr6yrJsa2sLBwcH1cXR0REODg5crqEDpk+fjqCgIMjlctja2sLExAQymQxGRkb8AEVEVIn069cPu3fvhlwuh42NDZKSkpCSkgK5XA4rKyt88MEHYkckkZ04cQKdOnXCuHHj8MsvvxQ5msT58+fx8OFDdO/eHcePHy+yblgikWD27NlqP1+lPc6wXC5HampqscX5VYU6KSkJycnJLz2WoaHhSwW58OLs7IzatWujTp06cHFxqdBZRG05BEplIAgC7O3toaenBwcHB9WyCXNzc4wZMwaffvqp2BGJiAj//X738PBQlWE9PT2kp6cjLS0Nu3fvRpcuXcSOWGVpS68obReTSCTFHn73TSrtGegMDAxUhVUdCoUCSUlJiI+PR0JCgury/PcREREIDQ1FQkICkpOTVQdzNjY2hoeHB+rUqaO6tGzZEs2aNePMciUnkUgQEBCAd999F/Hx8bC1tYVEIoGdnR3GjRsndjwiIvofAwMDrFu3DsOHD0dKSopqrfDUqVNZhAkANLZjXElV2pnhipKXl4ewsDA8fvwYjx8/xpMnT1Rfh4WFoaCgAD4+Phg7diw++ugjjZ6RTls+wVUmOTk5OH/+PP788084ODhg0aJFsLGxETsWERG9IDIyElevXoWpqSnq1KmDWrVqiR2pymOvKB2dL8OvI5fLceLECaxevRoBAQEYMGAAduzYobHH54uWiIiINIW9onRYhkvor7/+wpgxYxAVFYXq1atr5DH5oiUiIiJNYa8oHR5zqoQKz339qkPFEREREZH6evTogcuXL5fqvllZWVi4cCGWLVtW6udnGS4hhUIhdgQiIiIirZOQkIA2bdqgU6dOWL9+PdLS0t54nwsXLmDixIlwd3fH/Pnz4eTkVOrn5zKJEoqNjYWLiwt27NiBQYMGaeQx+ecMIiIi0pSq3Cs2btyI7777DuHh4ZBKpahfvz6aN28OJycnWFtbIzc3F8nJyXjw4AGuXLmCjIwM6OnpYfDgwfj+++9Ro0aNUj93pT20WmWTn58PgDPERERERJo2YsQIDB8+HIcOHcL69etx+vRpbN68+aVxUqkUPj4+ePfddzF69GhUq1atzM/NmeESSE1NRZs2bZCTk4PLly/D0dFRI49blT/BERERUeWibb3i3r17iIqKQlJSEkxMTODg4ICGDRvCyspKo8/DmeES+PLLLxEbG4vQ0FCNFWEiIiIierUGDRqgQYMG5f483IHuDZRKJXbs2IEvv/wSderUETsOEREREWkQy/AbKBQK5OXlwcTEROwoRERERKRhLMOvoFAosG/fPrRp0wZyuVzsOESkZXJzc8WOQERE4Jrhlzx8+BCbNm3C+vXrERMTg7Zt2+LMmTNo37692NGI6H/u3buH8+fPo1q1aujevTv09d/8VpadnQ1DQ8MSjS1PmZmZGDVqFPLy8iAIAlavXv3a42NmZGTgp59+AgDMmDED5ubmFRWViEgn6PzRJARBwI0bN/Dvv//i33//xZ07d2BlZYUPP/wQo0ePRrNmzcrtubVtr0+iivDrr7/ixo0baNq0KR4+fIiHDx9iy5YtryyUWVlZmDBhAtLT05GamooJEyZgwIABFZz6/02fPh0uLi44dOgQXFxcEBERgYCAAJiZmb00VqFQoG/fvrC3t0diYiIUCgUOHDgAQ0NDEZITUWXHXlE6OrlMQhAEBAcH48svv4SHhweaNm2KpUuXonnz5ti7dy9iY2OxfPnyci3CRKS+uLg4nDt3Dp6ennjw4AFq1KiBvLw8fPzxx3jV5/ovv/wSw4YNw8cff4wePXpg3bp1CAsLq+Dk/+/69evYu3cvdu3ahY4dO8LBwQGLFi0qduzatWuhr68Pb29vdOvWDTKZDAsWLKjgxERE2k3nyvCdO3fQoUMH+Pn5YfPmzejevTuOHj2K+Ph4bNy4Ee+88w53liOqpMLDw+Ht7Y1Tp07h119/hbGxMcaNG4fs7GycPn36pfFKpRJhYWEQBAF79+5FzZo1YWJigt9++63CsxeSy+Vo1KgRgoKC4OXlhby8PJw+fbrYMr9v3z5kZGTg4MGDiI+Ph6enJ3bu3FmiU5USEVU1P/zwA2bOnPnafbXy8/Mxc+ZMLFy4UGPPq1NlOCkpCc2bN0dUVBQOHz6M6OhorFixAm+//TYMDAzEjkdEb1CvXj3cuXMHpqamWLp0KRISEnDixAnVDq8vkkgk0NPTw5UrVzBs2DAMGjQIWVlZePDggQjp/192djamTp2KzZs3o3PnzrCyssLTp09fGqdQKGBtbY2GDRvihx9+QFJSEgwMDLBr1y4RUhORtlmwYAFatmwJCwsLODo6ol+/fi+9P3bs2BESiaTI5ZNPPikyJiIiAv7+/jA1NYWjoyOmTZum9hl7jx8/jjlz5sDOzu61nczQ0BD29vb45ptvcOrUKbWe41V0qgzb2NjAz88PqampOHHiBO7evSt2JCJSg42NDSQSCTIyMlC3bl2Eh4cjPz8flpaWiIyMfGm8RCKBkZERGjVqpCqQgiDAwMDglcsqypuHhwcePnyIQ4cOYd68eYiNjYWVlRVycnJeGqunp4esrCxERkaqtsXBwUFjvwCISLedOXMGEyZMwIULF3Ds2DHI5XJ069YNWVlZRcaNGTMGsbGxqsvzS7sKCgrg7++P/Px8BAcHY+PGjdiwYQPmzJmjVpZNmzbBxsYGEydOfOPYCRMmwNbWFuvXr1frOV5Fp8qwVCrFtm3bMGTIEKxfvx4+Pj7w9vbGl19+icDAQGRnZ4sdkYjeYObMmZBIJDh69CiGDh2K7777Dvn5+bC2ti52/Jw5c7B27Vo4OzujU6dOaNWqFeRyOSQSScUG/59p06YBAMaPH4+ffvoJERERkMlkqFu37ktje/Togfz8fDg7O2PYsGGoVq0apFIpl0kQkUYcOXIEI0eORMOGDdG4cWNs2LABERERCA0NLTLO1NQUzs7OqsvzO+cdPXoUd+/exebNm9GkSRP07NkT8+fPx7Jly5Cfn1/iLMHBwejatSuMjIzeONbIyAhdu3bF+fPnS76xr6FTZRgAHB0dsXTpUsTExGDv3r1o3rw5tm3bhh49esDGxgZdunTBwoULERoaCqVSKXZcInpB06ZN0aFDB9WOrhMnToSnpye6dOlS7PgmTZpg2LBhCA4OxnfffQcjIyN07NixYkM/p169evjyyy+Rm5uLpKQkJCUlYfjw4cX+Ahg3bhyUSiWuX7+OevXqwcLCAu7u7mjatKkIyYmoqkhPTy9yycvLK9H9Cj9o29raFrl+y5YtsLe3R6NGjfD1118XmTwMCQmBt7d3kSP6dO/eHenp6bhz506JM8fExKB27dolHl+rVi3ExsaWePzr6Pyh1YD//mx67949HDt2DMeOHcPp06eRlZUFOzs79OnTBz///DPs7Ow0/rw8BApR6QiCgAULFuD8+fOoXbs2IiIisGvXrteuM4uIiMDGjRtRq1YtDBkyRLSZ4UIJCQl49OgRGjVq9Np//wkJCRg9ejSysrLg6OiI+Ph4bNu2DQ4ODhWYloiqgsJe8aK5c+fi22+/fe19lUol+vbti9TUVJw7d051/erVq+Hu7g4XFxfcvHkT06dPR6tWrfDvv/8CAMaOHYtnz54hMDBQdZ/s7GyYmZnh0KFD6NmzZ4mym5ubY/z48Vi8eHGJxk+bNg0rVqxAZmZmica/DstwMfLz83Hx4kUcO3YMy5cvh6mpKU6cOFHsnzHLgmWYqGySkpIQHR2NRo0aQSrV7j90PX36FJmZmWjYsCH09PTEjkNElVBhr4iMjCzSK4yMjN64/GD8+PE4fPgwzp07B1dX11eOO3nyJLp06YLHjx/Dw8NDY2W4Xr168PDwwOHDh0s0vmfPnnj69KlGdojW7t8epWRoaIh27drhu+++w8cff4zIyEjExcWJHYuIXmBnZwcfHx+tL8IAULt2bfj4+LAIE9EbWVpaFrm8qQhPnDgRBw4cwKlTp15bhAGgdevWAIDHjx8DAJydnV/qSIXfOzs7lzhzu3btcPLkSYSHh79xbHh4OE6ePKmxswNr/2+QUgoPD0evXr2wePFizJ49G23bthU7EhGVgUwmw59//omzZ8++dtzp06exfPly0Q+/RkRU3gRBwMSJE7Fnzx6cPHkStWrVeuN9rl+/DgCoVq0aAMDX1xe3bt1CfHy8asyxY8dgaWkJLy+vEmeZMGEC5HI5Bg4ciMTExFeOS0pKwnvvvQeFQoHx48eX+PFfh2X4BdnZ2fjmm2/g6emJW7du4eDBg5g3b57YsYioDKKjo/HBBx/A3d0dy5Ytw5kzZ4odt2jRIuzZswc1atTAd999h99//72CkxIRVZwJEyZg8+bN2Lp1KywsLCCTySCTyVSHenzy5Anmz5+P0NBQhIeHIyAgAMOHD0f79u3h4+MDAOjWrRu8vLwwbNgw3LhxA4GBgZg1axYmTJhQoiNDFGrWrBkmTZqEq1evwsvLC3PmzMGpU6fw6NEjPHr0CKdPn8bs2bPh5eWF0NBQTJ48WXNnChZI5datW4KXl5dgbGwszJ49W8jIyCjX50tLSxMACGlpaeX6PES6bu7cucKZM2cEQRCElJQU4d13331pTFRUlNC/f3/hxo0bwvjx44UDBw4Io0ePFoKCgio6LhFRqajbKwAUe1m/fr0gCIIQEREhtG/fXrC1tRWMjIyEOnXqCNOmTXvp8cPDw4WePXsKJiYmgr29vTB16lRBLpernV+pVApff/21oK+vL0il0pcuEolE0NfXF2bOnCkolUq1H/9V9DVTqau+iIgIdOzYES4uLggNDVVrap+IKjepVKo6yYa1tXWxx748ePAgPvzwQ3zxxRdYuXIlFi1ahO7du2PRokVo165dRUcmIip3whuOoeDm5vbKv6Q9z93dHYcOHSpzHolEgh9//BGjRo3C+vXrERwcDJlMBuC/9cd+fn4YOXIkPDw8yvxcz2MZ/p8ffvgBhoaGOHXqVLkcRo2IxDNy5Eh88sknaN26NQwNDYs9TahMJoOjoyO8vLxQv359LFmyBCNGjICTkxPCwsJKtJaOiIjKzsPDA99//32FPR/L8P8kJyfDyckJNjY2YkchohKKi4uDqakpLCwsXjuuRo0amDx5Mvz9/WFvb4+BAwe+NMbBwQHp6emq05BaWlpCLpfj7bffRlBQEMswEZGW4g50//PJJ5/g+vXrmDBhQonP1EJE4jl8+DA+/vhj9OnTB1FRUW8c//bbb2Pv3r346aefMHr06Jdu79ixIy5evAiZTIakpCQkJydDT08P1atX19hZjoiIqPJhGf6fLl26YOXKlVi3bh3atm2LsLAwsSMR0Wv8/fff2LRpE+bOnYv169eX6D4WFhaoWbNmsbc1aNAAUVFRmDp1KgYNGoT33nsP3333HR4+fAh3d3cNJiciokIpKSk4e/YsUlNTAfz3l/pffvkFP/74Y4Ud4pJl+Dnjxo1DcHAwkpKS0KxZMwQFBYkdiYhewdraGsnJyWjUqBGePn2qkcdcuHAhfvnlF+zYsQMnTpyAmZkZNm/ejL59+2rk8YmI6P9dunQJtWvXRocOHVCnTh1cu3YNrVq1wqpVq7B+/Xo0bdoUV69eLfccPB1zMVJTU9GvXz9cunQJly9fRsOGDcvleXg6ZqLSu3v3LqZMmYJ27drBzMwMkyZN0sjjXr16FQsWLEBubi7s7e0xd+7cV84mExFVJlWtV3Tp0gV16tTBzz//jFWrVuH3339Hz549sXr1agDAmDFjkJCQgL1795ZrDpbh58TExODy5cu4dOkS1qxZAyMjI5w9e7bcfhFWtRctVW7R0dGYMmUKsrOzUVBQgH79+mH06NFafari+/fvIzg4GB9++CGMjY3FjlMujh8/jj///BOGhob45ptv0LhxY7EjEVElVdV6hY2NDUJCQuDp6Qm5XA4TExOEhISgZcuWAP47252/vz+io6PLNYfOluH09HRV8S2cAS78YTs7O6NLly5YsmQJHBwcyjVDVXrRUuUlCAJ69eqFTp064fTp05BIJIiNjUWNGjWwe/du6OnpiR2RSuH8+fOYNWsWCgoKoFQqkZycjE2bNqFFixZiRyOiSqiq9QoLCwvcvHlTdbQeCwsL3LhxA7Vr1wbw3zkg6tevrzojXnnRiUOr5efn49atW7h06RIuXryIS5cu4f79+xAEARYWFmjRogWGDh2KVq1aoVWrVqhevTokEonYsYlK7MqVK7C2tsaTJ0/QvXt3HDp0CFZWVrh58yZmzpyJn376SeyIVAp//PEHcnNzYW5uDgMDAygUCowaNQpXrlyBgYGB2PGIiMrE3d0djx8/VpXhw4cPo3r16qrbo6Ki4OjoWO45tLIMy2QynDlzBiEhIbh06RKuXr2KvLw86Ovrw8fHBx07dsRXX32F1q1bo379+lr9Z2TSDVeuXIFMJkONGjVQUFCAkSNH4tatW8jIyMDmzZsxderUCnlDIc2KjY2FhYUFhg8fjpSUFJw7dw6XLl3Ctm3bMHz4cLHjERGVyejRo1XHdgeAtm3bFrk9ICAAHTp0KPccWrFMIjc3FwEBATh16hROnz6N+/fvAwBq166N1q1bo1WrVmjdujWaNGkCExMTkdP+v6r25wyqvBYtWoQ9e/bA0tISn3/+OQ4ePIgePXrgzz//xJ07dzB06FDODlcigiAgISEB9vb2r/0w/tZbb0GpVMLPzw9yuRxyuRxXrlyBoaEhzp8/X4GJiagqYK8onSo9JZqWloZ58+bB3d0d77//Pk6fPo2OHTti+/btiI2NxZMnT7B161ZMmjQJvr6+laoIE2mSjY0NcnNz4ejoiLVr12LhwoXo27cvvL29YW5ujj179rzxHPRUMa5fv463334bo0aNQvv27REcHPzKsR4eHsjMzERubi7c3d2Rn58PPT095OXlITExsQJTExFVvJSUFGzatKncn6dKl+EpU6ZgwYIFGDBgAB48eIB79+5hxYoVeP/99+Hs7Cx2PKIKU7duXeTk5CAvLw/5+fmqGYH33nsPdnZ2yM7OVv3FhMRTUFCAL774Anp6emjUqBGMjIwwYcIEREZGFjv+ww8/RGZmJpKTk3Hz5k18/PHHsLCwgL29PW7evFnB6YmIKlZERAQ++uijcn+eKl2Gr1+/DisrK7Ro0UK15yGRLmrcuDGUSiVkMhkMDQ2RnZ0NAPD09IRUKoWhoSECAwNFTkkXLlyAsbExevbsibNnz6r+30ybNq3Y8d27d4elpSXCwsJgZGSEn3/+GY0bN4ajoyPkcnkFpyci0qyIiIjXXmJiYiokR5Uuw1u3bkW7du0watQoODg44N1338WyZctUR4og0hU2NjYwNzeHnp4eateujf379wMAFAoFTExMYG5u/to/x1PFSExMRGpqKi5fvoytW7fi22+/haurK+7evVvs7LBUKsVff/2F1NRUPHnyBA0bNsTVq1eRnZ2NJk2aVPwGEBFpUM2aNVGrVq1XXvz9/SskR5Uuw/Xr18fOnTtx48YNTJo0CUlJSZg8eTIaNGgAJycn9OzZE7NmzcKePXsQERHBgkxa7YMPPoBMJsOVK1ewcuVKJCcn499//0WtWrVgbm6OtLQ0sSPqPHd3dygUCuTl5UEqlcLPzw+ZmZkwNjbGP//8U+x9WrVqhb///hv5+fm4f/++6vCPTk5OFZyeiEizbGxssHTpUty8ebPYy86dOyskh1YcTeJ5WVlZOHv2LIKDgxEaGorQ0FDExcUBAOzt7dG8eXM0a9YMzZs3R/PmzeHu7i7aMYW51ydpUlZWFtq1awepVIoGDRogKysL9erVQ25uLkJDQ2FlZYUDBw6IHVOnKZVKtGjRQnW2pQ8++AABAQGQyWSwtrbG9u3bX3lfQRBw7do1pKamomPHjjwkJBG9pKr1im7duqFDhw745ptvir39xo0baNq0KZRKZbnm0Loy/CJBEBAbG6sqxoWX2NhYAICdnR1atWqF9u3bo3379mjRogUMDQ0rJFtVe9FS5Xf//n30798fpqamcHBwgI2NDfT19RETE4NatWphzZo1YkfUedu3b8fChQvRvHlz1KpVC15eXti1axckEgm2bNkidjwiqsKqWq/Ys2cPsrKyMHTo0GJvT0lJQUBAAEaMGFGuObS+DL9KbGwsrl69itDQUAQHB+P8+fOqP1f6+vpi4MCBGDRoEOzt7cstQ1V70VLVcPfuXbz33nswMTGBj48PoqKi4OTkhJEjR6JLly5ixyMAq1evxooVK2BpaQkPDw8olUr069cP/fr1EzsaEVVh7BWlo7Nl+EUKhQI3btxAUFAQjh49imPHjkEikaBXr1749ttv0bRpU40/J1+0VF7i4+Mxe/ZsPHr0CO7u7igoKMDGjRt5mvFKJD4+HsePH0d4eDi8vb3Rp08fsSMRURXHXlE6LMOvEB8fj3/++QfLly/HgwcP8Omnn2LJkiXQ19fcGaz5oqXylp+fj8jISNSuXZtFmIhIy7FXlA7L8BvI5XIsXboU06dPx5AhQ7B+/XqNlQq+aImIiEhT2CtKh7sjv4GBgQGmTJmCNWvWYOPGjTh//rzYkYiIiIhIQ1iGS2j48OFwd3fHrl27xI5CRERERBrCMlxCUqkUPj4+ePTokdhRiIiIiEhDWIbVYGtri/T0dLFjEBEREZGGsAyrwdLSkmWYiIiISIuwDKvBwsKCZZiIiIhIi7AMq4Ezw0RERETahWVYDYVlmIdmJiIiItIOLMNqsLS0hEKhQE5OjthRiIiIiEgDWIbVYGtrCwBISkoSOQkRERERaQLLsBocHR0BAPHx8SInISIiIiJNYBlWg5OTEwCWYSIiIiJtwTKsBnt7ewBAQkKCyEmIiIiISBNYhtVgbGwMU1NTJCcnix2FiIiIiDSAZVhNtra2LMNEREREWoJlWE12dnY8mgQRERGRlmAZVpONjQ1SUlLEjkFEREREGsAyrCYjIyPk5+eLHYOIiIiINIBlWE36+vqQy+VixyAiIiIiDWAZVpOBgQHLMBEREZGWYBlWk4GBARQKhdgxiIiIiEgDWIbVxJlhIiIiIu3BMqwmrhkmIiIi0h4sw2rizDARERGR9mAZJiIiIiKdxTKsptzcXJiYmIgdg4iIiIg0gGVYTTk5OTA2NhY7BhEREVGZrFixAj4+PrC0tISlpSV8fX1x+PBh1e25ubmYMGEC7OzsYG5ujgEDBiAuLq7IY0RERMDf3x+mpqZwdHTEtGnTqtxRt1iG1ZSbm8syTERERFWeq6srFi5ciNDQUFy5cgWdO3fGO++8gzt37gAAJk+ejP3792Pnzp04c+YMYmJi0L9/f9X9CwoK4O/vj/z8fAQHB2Pjxo3YsGED5syZI9YmlYpEEARB7BBVSadOneDs7Ixt27aV+bHS09NhZWWFtLQ0WFpaaiAdERER6SpN9ApbW1ssXrwYAwcOhIODA7Zu3YqBAwcCAO7fv48GDRogJCQEbdq0weHDh9G7d2/ExMTAyckJALBy5UpMnz4dCQkJMDQ01Ni2lSfODKup8IVGREREVBmlp6cXueTl5b3xPgUFBdi+fTuysrLg6+uL0NBQyOVydO3aVTXG09MTNWrUQEhICAAgJCQE3t7eqiIMAN27d0d6erpqdrkqYBlWgyAIiIuLg42NjdhRiIiIiIrl5uYGKysr1WXBggWvHHvr1i2Ym5vDyMgIn3zyCfbs2QMvLy/IZDIYGhrC2tq6yHgnJyfIZDIAgEwmK1KEC28vvK2q0Bc7QFVy9epVREdHw8/PT+woRERERMWKjIwsskzCyMjolWPr16+P69evIy0tDbt27cKIESNw5syZiohZabAMl1B+fj4+++wzeHp6onv37mLHISIiIipW4dEhSsLQ0BB16tQBADRv3hyXL1/G77//jvfffx/5+flITU0tMjscFxcHZ2dnAICzszMuXbpU5PEKjzZROKYq4DKJElAoFPjoo48QGhqKtWvXwsDAQOxIRERERBqnVCqRl5eH5s2bw8DAACdOnFDd9uDBA0RERMDX1xcA4Ovri1u3biE+Pl415tixY7C0tISXl1eFZy8tzgy/gVwux9ChQ7F7925s3boVb731ltiRiIiIiMrs66+/Rs+ePVGjRg1kZGRg69atOH36NAIDA2FlZYVRo0ZhypQpsLW1haWlJT777DP4+vqiTZs2AIBu3brBy8sLw4YNw6JFiyCTyTBr1ixMmDDhtUszKhuW4dfIzc3FoEGDEBgYiF27dqFfv35iRyIiIiLSiPj4eAwfPhyxsbGwsrKCj48PAgMD8fbbbwMAlixZAqlUigEDBiAvLw/du3fH8uXLVffX09PDgQMHMH78ePj6+sLMzAwjRozAvHnzxNqkUuFxhl8hNzcXffv2xdmzZ7F3795yWSfM4wwTEZEuO3PmDKKiotCvXz+YmZmJHafKY68oHa4ZfoVPPvkEQUFBOHz4MHeYIyIi0rDExET8+OOPSE5Oxvz588WOQzqMZbgYgiDg33//xeeff46OHTuKHYeIiEjrhIWFwdfXF2PGjMHDhw/FjkM6jGW4GBKJBG+//TaWL1+Offv2iR2HiIhI63h4eCA4OBg///wz2rdvL3Yc0mEsw6+wadMmdOvWDf369cPw4cORmJgodiQiIiKtYWtri/nz58Pd3R2ff/652HFIh3EHutcQBAEbNmzA1KlTYW5ujoCAADRp0kRjj8+F7kRERKQp7BWlw5nh15BIJPjoo49w8+ZNODg4oF27dggKChI7FhERERFpCMtwCbi6uiIoKAitWrVCr169EBsbK3YkIiIiItIAluESMjMzw7///guJRIK1a9eKHYeIiIiINIBlWA1WVlaoWbMmEhISxI5CRERERBrAMlwK3OeQiIiISDuwDKtJJpPBwcFB7BhEREREpAEsw2pITU1FYmIi6tatK3YUIiIiItIAlmE13Lp1CwDg5eUlchIiIiIi0gSWYTVcuXIFJiYmLMNEREREWoJlWA1XrlxBkyZNoK+vL3YUIiIiItIAlmE1XLlyBS1atBA7BhERERFpCMtwCYWGhuLhw4d46623xI5CRERERBrCMlwCp06dQp8+feDt7Y2BAweKHYeIiIiINIRl+BWSk5OxcuVKvPXWW+jcuTMaNGiAI0eOcL0wEYlCEATk5uaKHYOISOuwDD9HLpcjICAAAwcORLVq1TBx4kTY2Nhg+/btOHr0KFxcXMSOSERa4tGjR/jwww/Rs2dP7N2797VjIyIi0KtXL7z33nv4/PPPeRZMIiIN0vkyLAgCQkND8cUXX8DFxQXvvPMOnjx5goULFyIqKgoHDx7E+++/Dz09PbGjEtFzFAoF7t+/j8TERLGjqC02NhZjx46Fp6cnevbsiTVr1iA2NrbYsTk5ORgyZAjkcjmysrIgkUiwadOmCk5MRKS9dLoMnz17Fk2bNkWLFi3wzz//YOTIkbhx4wauXbuGyZMnw9nZWeyIRPQCQRDw66+/omfPnvjrr78wfPhwHDx48LXjd+/ejalTp+LYsWMVmPTVZs6cCUtLS9SsWRNyuRxOTk6vnB1evHgxpFIppk6ditWrV+Pu3bvYvXt3xQYmItJiOrsAduHChfj666/h6+uLw4cPo2vXrlwPTFQFfPXVV3B1dcXKlSuRnJyMhg0b4sMPP4S/v3+x4z/66CPUr18fY8aMwYwZM1CrVi3UqVOnglP/v+TkZMTGxqJ69eoYPnw45HI5evXqBQsLi5fGKhQKnDhxAk5OTliwYAGMjY1hbW2NrKwsEZITEWknnW1/169fR/Xq1bF161bUrFlT7DhEVAIRERGIiYnBJ598gjFjxiAnJwcnT55EQUFBsePT0tKQk5ODr7/+GgBgY2Mj+pKn69evo1q1avD19VVdJwgCjI2NXxobExMDGxsb1KhRA/Xq1cO1a9egUCigVCorMjIRkVbT2WUSo0ePRm5uLurVq4ePP/4YR44cQV5entixiOg17t27B19fX8jlcuTk5KBmzZq4du0a6tevX+x4ExMTZGZmYsGCBRg5ciRcXFxQq1atCk5dlFQqhaWlJe7fvw8A2LFjB2xsbNCqVauXxpqbm0Mul0Mul+PChQto2rQp4uPj0bx584qOTUSktSSCDu+WnJmZiRUrVmD58uUIDw+HmZkZunXrhr59+8Lf3x8ODg7l+vzp6emwsrJCWloaLC0ty/W5iLRBVFQUPv30U+zZswd6enqIjIzEiBEjsHnz5lce7UUul+PcuXOoXr066tWrV8GJX5aeno4BAwagbt26CAsLg7W1NWJjY3HkyJFiZ4d79+6NrKwszJw5E3/99RciIiKwY8cO1KhRQ4T0RFSZsVeUjk6X4UKCIODOnTsICAjA/v37cfHiRQBAmzZt0LdvXwwbNgzVq1fX+PPyRUukvp07d2L16tUwMjKCsbExFi5cKOoa4NLYvXs3Vq1ahXr16uHOnTv45Zdf0KxZs2LH3rhxQ3W0m4SEBAwbNgzDhw+v4MREVBWwV5QOy3Ax4uLicOjQIezfvx+BgYHIy8tDnz59MGPGDLRu3Vpjz8MXLZHuys7ORlxcHGrUqPHGdczPnj3D4cOH0aZNGzRp0qRiAhJRlcNeUTosw2+Qnp6OX375BfPmzUO7du0QFBSk0cfmi5aIiIg0gb2idHR2B7qSEAQBBw8exIoVK1CtWjWsXbtW7EhEREREpEEsw68QERGB3r1748MPP0THjh1x9epV1K1bV+xYRFSBHj16hN9//x3bt2/n0WaIiLQUy/ALBEHAhg0b0LBhQ9y8eRMBAQH4559/eDY6Ih0iCAIWLlyIOXPmwNPTE2lpaejXrx9yc3PFjkZERBrGMvwcQRAwZcoUfPTRRxg4cCDu3LmDPn36iB2LiMpg69at6N27N/74448S32fy5MkwMjLC2rVrYWxsjI8++ggjR47EypUryzEpERGJgWX4OVu3bsVvv/2GP//8E+vXr+fic6IqLjs7G7Nnz8bnn3+Offv2leg+x48fh4GBASZMmIB33nkHJ06cwLhx49C3b1+cO3eunBMTEVFFYxl+ztGjR9GkSRNMmDBB7ChEpAEmJiZYsGABbt++jdWrV5foPps3b8bkyZNx7tw5dO7cGfPmzUN8fDyUSiWkUr5lEhFpG32xA1QmTZo0wZYtWxAUFIT27duLHYeIykgikWDQoEFq3ScpKQkuLi5IT0/HzZs3sW7dOnh6eiIgIACdO3cup6RERCQWTnM8Z/z48Wjbti26du2KpUuXQqlUih2JiF6Ql5eHpUuXYvTo0ejXr1+Jlz+UlI2NDWJjY+Hp6YnevXsjIyMDU6ZMwZo1azB06FCNPhcREYmPZfg5xsbGOHbsGMaPH4/PP/8cPXr0QGZmptixiOg5ixcvBgDMnz8fQ4cOxbVr1zT6+J999hlGjBiBI0eOwM/PD66urhg2bBiWLFkCc3NzjT4XERGJj2ege4WjR4+iT58+mDVrFmbPnl0uz8EzxRCpb9asWUhNTYVMJoO5uTmWLl0KCwsLjT6HTCbDli1bEBYWBk9PTwwfPpz/Romo0mOvKB2W4df46quv8Msvv2Dnzp3o37+/xh+fL1oi9QmCgOvXr8PV1RUODg5ixyEiqjTYK0qHyySKERsbi2XLliEwMBBKpRJ79uwROxIR/Y9EIkHTpk11rghfu3YNf/zxB549eyZ2FCIircKjSeC/maaQkBAcPHgQhw8fxrVr16Cnp4c+ffpg4cKF6Natm9gRidTy999/4++//4aRkRFMTEywbt06rnetwtatW4cNGzagfv362LVrF/7991/Y29uLHYuISCvo9Mzws2fPMG/ePNSpUwd+fn5YtWoVvLy8sHnzZshkMuzZswc9e/aEnp6e2FGJSiQxMRGffPIJ9uzZA0EQIJfL4eXlxTOnVWFXr17F8uXL0bJlS7Rv3x4ODg5Yt26d2LGIiLSGTs4MC4KAlStXYtKkSTAwMMCgQYOwbt06tG3btsoW39u3b8PKygpubm5iRyGRXL9+HVOmTEHDhg1hb2+PXr16oVWrVvjiiy9gbm6OL7/8UuyIVAqzZ8+GmZkZLl26hISEBKSmpuLx48dixyIi0ho6NTMsCAICAwPRvn17fPrppxg7dixkMhnWrVuHDh06VNkiDABjx47FsGHDxI5BIpozZw6cnJzg5OSEyMhI6OvrY8qUKWjSpAlSUlLEjkfFEAQBOTk5r7w9JiYGmZmZqiNaJCQkID8/H7a2thWYkohIu+nMzHBeXh7ef/997Nu3D61bt8bhw4fRo0cPsWNpzLfffstjIuuwxMRExMfHY+jQoXjw4AEmTpwIf39/2NraYtu2bcjPzxc7Ir1g7969+OOPP2BtbQ1bW1usXr36pdM9P3z4EDY2NqhWrRpOnToFS0tLJCQkoEuXLiKlJiLSPjozM/z111/jyJEj2L17N0JCQrSqCANAt27dyuXwb1Q1XLlyBbm5ufD09ERBQQH8/f0BAE5OTsjIyIBEIhE5IT1v+fLlWLlyJQRBQEpKCqysrLB3796Xxjk6OsLY2Bipqano378/srOzoa+vz9NCExFpkM6U4dzcXNjZ2cHLy6vKFIMDBw7g/v37YsegKuDJkycwMjLC7t27MXXqVNX1T58+RX5+vsZPSkGld/HiRezfvx8WFhY4duwYlixZgqSkJISGhr40tkGDBsjIyEBmZiaWL1+OuLg4/Pzzz1V6SRcRVR4rVqyAj48PLC0tYWlpCV9fXxw+fFh1e8eOHSGRSIpcPvnkkyKPERERAX9/f5iamsLR0RHTpk2DQqGo6E0pE50pw1988QXMzMzQuHFjTJo0CTdu3BA70msVFBTg+++/x1dffSV2FKoC0tPTYWBgAAMDA9WbkCAI2LZtGxISEjiTWIn88ccfMDQ0xJ9//gl9fX2YmZkhJSUFLi4uL42VSCRYt24d5HI5zM3NsWjRIrRt21aE1ESkjVxdXbFw4UKEhobiypUr6Ny5M9555x3cuXNHNWbMmDGIjY1VXRYtWqS6rfAvkfn5+QgODsbGjRuxYcMGzJkzR4zNKTWdKcP169fHjRs3MGPGDGzbtg1NmjRBkyZNsGDBAty+fRuV7UR8UqkU9vb2Ve7TFYnDzMwMcrkco0aNwuTJk3H9+nV89tlnqFWrFgoKCjBw4ECxI9L/ZGRkQKlUwsnJCQCwceNGpKWloU+fPsWOd3JywsaNGxEQEICOHTtWYFIi0nZ9+vRBr169ULduXdSrVw8//PADzM3NceHCBdUYU1NTODs7qy7Pn9nu6NGjuHv3LjZv3owmTZqgZ8+emD9/PpYtW1al9lXRmTIMACYmJvjuu+8QFRWFgIAA1K1bFz/88AO8vb1Ru3ZtfPbZZwgMDEReXp7YUSGRSPDvv/9i9+7dYkehKsDb2xtOTk74559/MGfOHOzYsQO1a9fGhQsXUL9+fdSrV0/siPQ/giDA29sb3377LWbMmIHQ0FA0btwYNWrUEDsaEWmJ9PT0IpeS9JqCggJs374dWVlZ8PX1VV2/ZcsW2Nvbo1GjRvj666+RnZ2tui0kJET1+6dQ9+7dkZ6eXmR2ubLTqTJcyMDAAH369MHOnTuRmJiII0eOwN/fHwEBAejRowfs7OzQv39/bNq0Cenp6aLlNDQ0hImJiWjPT1VHu3btkJWVBX19fcyfPx/Xr1/H8ePHYWJighUrVogdj54zduxYPHjwAAAQFRUFa2vrIn92JCIqKzc3N1hZWakuCxYseOXYW7duwdzcHEZGRqqTNnl5eQEAPvzwQ2zevBmnTp3C119/jb///htDhw5V3VcmkxUpwgBU38tksnLYsvIhESrb+gARCYKA27dv48CBA9i/fz9CQkJgbGyMvn37YtSoUXj77bc1uvNdeno6rKyskJaWVuTPDkSlER8fjyVLluDmzZsQBAHt27fH559/DlNTU7Gj0Qvu3buHEydOoFGjRujQoUOV2amXiCq3wl4RGRlZpFcYGRnByMio2Pvk5+cjIiICaWlp2LVrF/766y+cOXNGVYifd/LkSXTp0gWPHz+Gh4cHxo4di2fPniEwMFA1Jjs7G2ZmZjh06BB69uyp+Y0sByzDrxEREYFt27Zhy5YtuHXrFjp06ICff/4ZLVq00MjjswwTERGRpmiiV3Tt2hUeHh5YtWrVS7dlZWXB3NwcR44cQffu3TFnzhwEBATg+vXrqjFhYWGoXbs2rl69iqZNm5Z2UyqUTi6TKKkaNWpg+vTpuHHjBg4ePIikpCS0a9cO58+fFzsaERERkcYplcpXrjEuLL3VqlUDAPj6+uLWrVuIj49XjTl27BgsLS2LnVmurDgzrIbc3Fx069YNcXFxqjV/ZcGZYSIiItIUdXvF119/jZ49e6JGjRrIyMjA1q1b8dNPPyEwMBC1a9fG1q1b0atXL9jZ2eHmzZuYPHkyXF1dcebMGQD/7XTXpEkTuLi4YNGiRZDJZBg2bBhGjx6NH3/8sbw3V2M4M6wGY2NjjBo1Cg8fPuSpj4mIiKhKi4+Px/Dhw1G/fn106dIFly9fRmBgIN5++20YGhri+PHj6NatGzw9PTF16lQMGDAA+/fvV91fT08PBw4cgJ6eHnx9fTF06FAMHz4c8+bNE3Gr1KcvdoCqJjk5GSYmJjAzMxM7ChEREVGprV279pW3ubm5qWaAX8fd3R2HDh3SZKwKx5lhNT18+BB169bl3t9EREREWoBlWE2PHj1C3bp1xY5BRERERBrAMqymrKws7uxGREREpCVYhtXE5RFERERE2oNluBR4NDoiIiIi7cAyrCaJRMIyTERERKQlWIbVZGJiguzsbLFjEBEREZEGsAyrydnZGTKZTOwYRERERKQBLMNqcnV1RUREhNgxiIiIiEgDWIbVVL9+fURERHCpBBEREZEWYBlWU4MGDSAIAh4+fCh2FCIiIiIqI5ZhNdWvXx/Af2eiIyIiIqKqjWVYTVZWVgCAjIwMkZMQERERUVmxDKtJKpXCyMiIa4aJiIiItADLcCmYmJggJydH7BhEREREVEYsw6XAMkxERESkHViGS0EqlUKpVIodg4iIiIjKiGW4FBQKBfT19cWOQURERERlxDJcCgUFBSzDRERERFqAZbgUFAoF9PT0xI5BRERERGXEMlwKXCZBREREpB1YhktBLpezDBMRERFpAZbhUlAoFDAwMBA7BhERERGVEcuwmgRBQEFBAcswERERkRZgGVaTXC4HAJZhIiIiIi3AMqymwjLMNcNEREREVR/LsJo4M0xERESkPViG1ZSdnQ0AMDMzEzkJEREREZUVy7CaMjIyAADm5uYiJyEiIiKismIZVtPVq1cBAHXq1BE5CRERERGVFcuwmgIDA+Ht7Q0XFxexoxARERFRGbEMq0EQBBw9ehTdu3cXOwoRERERaQDLsBpu376N2NhYlmEiIiIiLcEyrIbAwECYmJigbdu2YkchIiIiIg1gGVbD2bNn0bZtWxgbG4sdhYiIiIg0gGVYDZGRkahdu7bYMYiIiIhIQ1iG1WBjY4O4uDixYxARERGRhrAMq6Fz5844fvw4cnNzxY5CRERERBrAMqyGd999F5mZmThx4oTYUYiIiIhIA1iG1dCgQQPUrVsXe/fuFTsKEREREWkAy7AaJBIJ3n33Xezbtw9KpVLsOERERERURizDamrfvj0SEhIQHR0tdhQiIiIiKiOWYTXVr18fAPDgwQORkxARERFRWbEMq8nFxQUAeIg1IiIiIi3AMqwmIyMjAEBeXp7ISYiIiIiorFiG1aSnpwc9PT3k5+eLHYWIiIiIyohluBT09fWhUCjEjkFEREREZcQyrCZBEJCXlwdjY2OxoxARERFpxMKFCyGRSDBp0iTVdbm5uZgwYQLs7Oxgbm6OAQMGvLTPVEREBPz9/WFqagpHR0dMmzatyk0YsgyrqfBUzCYmJiInISIiIiq7y5cvY9WqVfDx8Sly/eTJk7F//37s3LkTZ86cQUxMDPr376+6vaCgAP7+/sjPz0dwcDA2btyIDRs2YM6cORW9CWXCMqym7OxsACzDREREVPVlZmZiyJAhWLNmDWxsbFTXp6WlYe3atfj111/RuXNnNG/eHOvXr0dwcDAuXLgAADh69Cju3r2LzZs3o0mTJujZsyfmz5+PZcuWVal9q1iG1RQbGwsAcHZ2FjkJERERUdlMmDAB/v7+6Nq1a5HrQ0NDIZfLi1zv6emJGjVqICQkBAAQEhICb29vODk5qcZ0794d6enpuHPnTsVsgAboix2gqgkPDwcAuLq6lvmxBEEAAKSnp5f5sYiIiEi3FfaJtLS0ItcbGRmpDg37vO3bt+Pq1au4fPnyS7fJZDIYGhrC2tq6yPVOTk6QyWSqMc8X4cLbC2+rKliG1dS7d29ViS2rpKQkAICbm5tGHo+IiIioRo0aRb6fO3cuvv322yLXRUZG4osvvsCxY8d0/qAALMMisrW1BfDfnphWVlYip6lY6enpcHNzQ2RkJCwtLcWOU6G47bq37bq63QC3ndvOba9IgiAgKSkJtra2kEr/fyVscbPCoaGhiI+PR7NmzVTXFRQUICgoCH/++ScCAwORn5+P1NTUIrPDcXFxqqWizs7OuHTpUpHHLTzaRFVaTsoyLKLCF6qVlZXOvVkUsrS05LbrIF3ddl3dboDbzm3XPWJte0kn17p06YJbt24Vue6jjz6Cp6cnpk+fDjc3NxgYGODEiRMYMGAAAODBgweIiIiAr68vAMDX1xc//PAD4uPj4ejoCAA4duwYLC0t4eXlpcGtKl8sw0REREQ6xsLCAo0aNSpynZmZGezs7FTXjxo1ClOmTIGtrS0sLS3x2WefwdfXF23atAEAdOvWDV5eXhg2bBgWLVoEmUyGWbNmYcKECcXORldWLMNERERE9JIlS5ZAKpViwIAByMvLQ/fu3bF8+XLV7Xp6ejhw4ADGjx8PX19fmJmZYcSIEZg3b56IqdXHMiwiIyMjzJ07t0p9etIUbju3XZfo6nYD3HZuO7e9Kjl9+nSR742NjbFs2TIsW7bslfdxd3fHoUOHyjlZ+ZIImjo0AhERERFRFcOTbhARERGRzmIZJiIiIiKdxTJMRERERDqLZZiIiIiIdBbLsIYtWLAALVu2hIWFBRwdHdGvXz88ePCgyJjc3FxMmDABdnZ2MDc3x4ABA1RnbCkUEREBf39/mJqawtHREdOmTYNCoajITVFbUFAQ+vTpAxcXF0gkEuzdu7fI7ZmZmZg4cSJcXV1hYmICLy8vrFy5ssiYkvxsKqM3bTsA3Lt3D3379oWVlRXMzMzQsmVLREREqG7X5m0v9Mknn0AikeC3334rcn1ycjKGDBkCS0tLWFtbY9SoUcjMzCzf4Brwum2Xy+WYPn06vL29YWZmBhcXFwwfPhwxMTFFHkMbtx3470xYc+bMQbVq1WBiYoKuXbvi0aNHRcZU1W1/XkFBAWbPno1atWrBxMQEHh4emD9/Pp7fN70kP4uqKjo6GkOHDoWdnR1MTEzg7e2NK1euqG7X5m1/3sKFCyGRSDBp0iTVdVX1PV0XsQxr2JkzZzBhwgRcuHABx44dg1wuR7du3ZCVlaUaM3nyZOzfvx87d+7EmTNnEBMTg/79+6tuLygogL+/P/Lz8xEcHIyNGzdiw4YNmDNnjhibVGJZWVlo3LjxKw/BMmXKFBw5cgSbN2/GvXv3MGnSJEycOBEBAQGqMW/62VRWb9r2J0+eoG3btvD09MTp06dx8+ZNzJ49u8j54LV12wvt2bMHFy5cgIuLy0u3DRkyBHfu3MGxY8dw4MABBAUFYezYseUVWWNet+3Z2dm4evUqZs+ejatXr+Lff//FgwcP0Ldv3yLjtHHbAWDRokX4448/sHLlSly8eBFmZmbo3r07cnNzVWOq6rY/76effsKKFSvw559/4t69e/jpp5+waNEiLF26VDWmJD+LqiglJQV+fn4wMDDA4cOHcffuXfzyyy+wsbFRjdHWbX/e5cuXsWrVKvj4+BS5vqq+p+skgcpVfHy8AEA4c+aMIAiCkJqaKhgYGAg7d+5Ujbl3754AQAgJCREEQRAOHTokSKVSQSaTqcasWLFCsLS0FPLy8ip2A0oJgLBnz54i1zVs2FCYN29ekeuaNWsmfPPNN4IglOxnUxUUt+3vv/++MHTo0FfeR5u3XRAEISoqSqhevbpw+/Ztwd3dXViyZInqtrt37woAhMuXL6uuO3z4sCCRSITo6OgKSK0Zr9r25126dEkAIDx79kwQBO3ddqVSKTg7OwuLFy9WXZeamioYGRkJ27ZtEwRBe7bd399f+Pjjj4tc179/f2HIkCGCIJTsZ1FVTZ8+XWjbtu0rb9fmbS+UkZEh1K1bVzh27JjQoUMH4YsvvhAEQXve03UFZ4bLWVpaGgDA1tYWABAaGgq5XI6uXbuqxnh6eqJGjRoICQkBAISEhMDb2xtOTk6qMd27d0d6ejru3LlTgek166233kJAQACio6MhCAJOnTqFhw8folu3bgBK9rOpipRKJQ4ePIh69eqhe/fucHR0ROvWrYv8WVlbtx34b/uHDRuGadOmoWHDhi/dHhISAmtra7Ro0UJ1XdeuXSGVSnHx4sWKjFru0tLSIJFIYG1tDUB7tz0sLAwymazI69nKygqtW7cu8j6nDdv+1ltv4cSJE3j48CEA4MaNGzh37hx69uwJoGQ/i6oqICAALVq0wHvvvQdHR0c0bdoUa9asUd2uzdteaMKECfD39y+yjYB2v6drI5bhcqRUKjFp0iT4+fmpzvMtk8lgaGio+mVYyMnJCTKZTDXm+SJceHvhbVXV0qVL4eXlBVdXVxgaGqJHjx5YtmwZ2rdvD6BkP5uqKD4+HpmZmVi4cCF69OiBo0eP4t1330X//v1x5swZANq77cB/f0bW1/+/9u4/Jur6jwP48+AIUBBEFCQGiiAagpI4RRaoLM1EyelI5khaMn8GmpMya2oRtb4FE5sysJGmrZpTQykN8DCIPJMf/mpDTEBLlMQJLg6B7vX9o3Hj+J2AB3fPx3abft6ve39er8/Ymxfvfe5zSsTGxnY6fufOHYwZM0bvmFKphIODw5Cvva3Gxka8+eabiIyMxIgRIwAYb+2tuXe2jrVd54yh9rfeegsrVqzApEmTYGFhAX9/f2zatAkrV64E0LtrMVTduHED+/btg5eXF06fPo1169YhNjYWBw4cAGDctQPA119/jeLiYnz44Ycdxox5TTdG/DrmAbRhwwZcuXIFBQUFhk5lUNizZw/OnTuHzMxMuLu746effsKGDRvg4uLS4a9qY6LVagEA4eHh2Lx5MwBg2rRpKCwsRGpqKkJCQgyZ3oAqKirC7t27UVxcDIVCYeh0DKa5uRkREREQEezbt8/Q6VA/+vbbb3H48GF89dVX8PHxQWlpKTZt2gQXFxesWrXK0OkNKK1Wi4CAACQmJgIA/P39ceXKFaSmphp97bdu3UJcXByys7P1PvtBQxN3hgfIxo0bcfLkSahUKri6uuqOOzs7o6mpCQ8ePNCLv3v3LpydnXUx7T9x2vr/1pihRqPR4O2330ZSUhIWL14MPz8/bNy4ES+//DI++eQTAL27NkORo6MjlEolnnnmGb3jkydP1j1Nwlhrz8/PR01NDdzc3KBUKqFUKlFVVYUtW7Zg3LhxAP6tvaamRu99LS0tuH///pCuvVVrI1xVVYXs7GzdrjBgvLW35t7ZOtZ2nTOG2rdu3arbHfb19UVUVBQ2b96s2y3szbUYqsaOHdvjugYYZ+1FRUWoqanBs88+q1vbzp49i5SUFCiVSjg5ORnlmm6s2Az3MxHBxo0bcezYMZw5cwbjx4/XG58+fTosLCyQm5urO1ZWVoabN28iMDAQABAYGIjLly/r/aJo/SXafuEZKpqbm9Hc3AwzM/0fOXNzc93OaW+uzVD01FNPYcaMGR0esXft2jW4u7sDMN7ao6KicOnSJZSWlupeLi4u2Lp1K06fPg3g35/3Bw8eoKioSPe+M2fOQKvVYubMmYZKvV+0NsLl5eXIycnBqFGj9MaNtfbx48fD2dlZ7+e5vr4earVab50zhtobGhq6Xdd6cy2GqqCgoG7XNWOuPTQ0FJcvX9Zb2wICArBy5Urdv41xTTdaBv4An9FZt26d2NnZSV5enlRXV+teDQ0Nupi1a9eKm5ubnDlzRi5cuCCBgYESGBioG29paZEpU6bI/PnzpbS0VE6dOiWjR4+Wbdu2GaKkXnv48KGUlJRISUmJAJCkpCQpKSnRfXI+JCREfHx8RKVSyY0bNyQjI0OsrKxk7969ujl6ujaDVU+1Hz16VCwsLCQtLU3Ky8tlz549Ym5uLvn5+bo5jLX29to/TUJE5IUXXhB/f39Rq9VSUFAgXl5eEhkZ+QSy75vuam9qapIlS5aIq6urlJaW6q0HbZ8KY4y1i4h89NFHYm9vL999951cunRJwsPDZfz48aLRaHRzDNXa21q1apU8/fTTcvLkSamoqJCjR4+Ko6OjxMfH62J6cy2GovPnz4tSqZQPPvhAysvL5fDhwzJs2DA5dOiQLsZYa+9M26dJiAzdNd0UsRnuZwA6fWVkZOhiNBqNrF+/XkaOHCnDhg2TpUuXSnV1td48lZWVsnDhQrG2thZHR0fZsmWLNDc3P+Fq/huVStVp7atWrRIRkerqaomOjhYXFxexsrISb29v+fTTT0Wr1erm6M21GYx6ql1E5PPPPxdPT0+xsrKSqVOnyvHjx/XmMOba2+qsGa6trZXIyEixsbGRESNGyKuvvioPHz4c+OT7qLvaKyoqulwPVCqVbg5jrF3k38dqvfvuu+Lk5CSWlpYSGhoqZWVlenMM1drbqq+vl7i4OHFzcxMrKyvx8PCQ7du36/3B05trMVSdOHFCpkyZIpaWljJp0iRJS0vTGzfm2ttr3wwP1TXdFClE2nxNDhERERGRCeE9w0RERERkstgMExEREZHJYjNMRERERCaLzTARERERmSw2w0RERERkstgMExEREZHJYjNMRERERCaLzTARERERmSw2w0RERERkstgME5FJOXr0KJ5//nk4ODhAoVCgsrJSbzw5ORk+Pj6wsbGBvb095s2bB7VabZhkiYhowLEZJiKT8vfffyM4OBjvvfdep+Pu7u5ISkrCxYsXUVhYCE9PTyxYsAC1tbVPOFMiInoSFCIihk6CiOhJu3LlCnx9fVFRUYFx48Z1GVdfXw87Ozvk5eUhJCRkQHMSEQQEBGDUqFH48ccfB/RcA6msrAw+Pj5ISUnB+vXrDZ0OEVG3uDNMRNSFpqYmpKWlYeTIkfD19e0yrqioCK+99hq8vLwwfPhwWFtbY8KECYiKikJ2dnavz3fw4EEUFxd3uWs9VHh7eyMyMhK7du3Cw4cPDZ0OEVG32AwTEbWTn58PGxsbWFtbIzk5GdnZ2XBwcOgQp9Vq8cYbbyAgIAAHDx6Eh4cH1q5di7i4OEyfPh1ZWVmYP38+3n///R7PqdVqsXPnTjz33HOYNWvWQJT1RMXHx6OmpgYpKSmGToWIqFtKQydARDTYBAQEoLS0FLW1tUhPT0dERATUajUcHR314t555x0kJydj2rRpOHLkCCZMmKA3rtFo8Nlnn/XqfuMffvgBlZWV2L59e7/WYii+vr7w8/NDeno6tm3bBjMz7r0Q0eDE1YmIqB1ra2t4enpi5syZ2L9/P8zMzJCRkaEXc/36dXz88ccYNWoUTp061aERbp1n69at2LVrV4/nzMjIgEKhwLJlyzqM5eXlQaFQYOfOnSgoKMCcOXNga2sLe3t7LFu2DNevX+9TfPv3FBYWYu7cubC1tcXo0aOxfv16aDQaAEBWVhYCAwMxfPhwODk5IT4+Hi0tLZ3WFBERgaqqKqhUqh7rJyIyFDbDREQ9EBE8evRI79gXX3yBf/75B2vWrIGTk1O377e0tOxxfpVKBW9vb4wcObLLuHPnziE0NBR2dnZ4/fXXERISgmPHjmH27Nm4ceNGn+MBQK1W696zZs0auLm5Yd++fYiJicE333yD5cuXw93dHWvWrIG9vT3+97//ITExsdO5AgMDAQC5ubnd1k9EZFBCRGRCamtrpaSkRI4cOSIAJCsrS0pKSqS2tlZEROLj46WgoEAqKyuluLhYVq9eLZaWlvLbb7/pzTNnzhwBIDk5OX3O6erVqwJAVq5c2em4SqUSAAJAUlNT9cZSU1MFgISFhT12fPv3HD9+XHe8qalJ/Pz8RKFQiKOjo5w/f143Vl9fL2PGjBEHBwdpamrqkHddXZ0AkODg4N5fDCKiJ4w7w0RkUjIzM+Hv74/ly5cDABYtWgR/f39kZmYCAG7fvo0VK1Zg4sSJePHFF3H37l3k5+dj8uTJevPcuXMHAODq6trnnP744w8A6HGHeeLEiYiJidE7FhMTAy8vL2RlZeGvv/7qUzwAzJ07F+Hh4br/W1hYYPny5RARLF68GDNmzNCN2draIiwsDPfv39fV0NaIESNgZWXV6RgR0WDBZpiITEp0dDREpMMrOjoaAPDll1/i1q1bePToEaqrq5GZmanXAA6E1g/Y2dvbdxsXFBTU4YNoZmZmCAoKgojg4sWLfYoHgGnTpnU4Nnbs2B7Hbt++3WnODg4OuHfvXpc1EREZGpthIqLH4OzsDAD4888/+zyXtbU1AKCxsbHbuK52jluP19XV9Ske+Hc3tz2lUtnjWHNzc6fn0mg0GDZsWKdjRESDAZthIqLHEBQUBKB/Phw2evRoAMD9+/e7jbt79263x+3s7PoU39+0Wi3q6up09RERDUZshomIHkN0dDTMzc2RlpbW6b23bbV/EkV7Pj4+MDMzQ1lZWbdxP//8M7Rard4xrVaLwsJCKBQKTJ06tU/x/a28vBxarbbbb+8jIjI0NsNERI/B09MT8fHxuHfvHhYuXIiKiooOMY2NjUhKSsLOnTu7ncve3h5+fn64cOFCh+a1rWvXriE9PV3vWHp6Oq5du4ZFixZ12IH9r/H9Ta1WAwBCQkIG9DxERH3Bb6AjInpMCQkJaGxsRHJyMry9vTFv3jxMmTIFFhYWqKioQE5ODmpra5GQkNDjXEuXLsWOHTtw7tw5zJ49u9OYBQsWIDY2Ft9//z18fHxw9epVnDhxAo6Ojti9e3ef4/tbdnY2lEolwsLCBvxcRESPizvDRESPyczMDElJSfj1118RFRWF33//HXv37kVycjLUajUWLFiA7OzsXn3F8urVq6FUKnHo0KEuY2bNmoXc3FzU1dUhJSUFeXl5eOmll/DLL7/Aw8Ojz/H9qaGhAcePH0dYWBhcXFwG9FxERH2hEBExdBJERARERUUhKysLVVVVsLW11R3Py8vD3LlzsWPHjh5vuXic+IGwf/9+xMTE4OzZswgODjZIDkREvcGdYSKiQSIhIQEajQZ79uwxdCp90tLSgsTERCxZsoSNMBENerxnmIhokHB3d8eBAwe6fCTaUHHz5k288soriIqKMnQqREQ9YjNMRDSIREREGDqFPvPw8DDY7RlERP8V7xkmIiIiIpPFe4aJiIiIyGSxGSYiIiIik8VmmIiIiIhMFpthIiIiIjJZbIaJiIiIyGSxGSYiIiIik8VmmIiIiIhMFpthIiIiIjJZbIaJiIiIyGSxGSYiIiIik8VmmIiIiIhMFpthIiIiIjJZ/wfotA1T7bXS/wAAAABJRU5ErkJggg==",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 800x600 with 3 Axes>"
       ]
@@ -489,7 +460,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 700x600 with 1 Axes>"
       ]
@@ -532,7 +503,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "main",
    "language": "python",
    "name": "python3"
   },
@@ -546,7 +517,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.9"
+   "version": "3.12.12"
   }
  },
  "nbformat": 4,
diff --git a/mkdocs.yml b/mkdocs.yml
index 0fcd733..95c3988 100644
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -93,7 +93,7 @@ plugins:
       default_handler: python
       handlers:
         python:
-          import:
+          inventories:
             - https://docs.python.org/3/objects.inv
             - https://numpy.org/doc/stable/objects.inv
           options:
diff --git a/pyproject.toml b/pyproject.toml
index 2eccaea..a0fd706 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -5,7 +5,7 @@ build-backend = "setuptools.build_meta"
 [project]
 name = "spinplots"
 description="NMR spectra in python made easy"
-version = "0.2.1"
+version = "0.2.2"
 readme = "README.md"
 license = { text = "BSD-3" }
 authors = [
@@ -40,12 +40,14 @@ dev = [
 ]
 docs = [
     "mkdocs-material>=9.4.0",
-    "mkdocstrings[python]>=0.22.0",
+    "mkdocstrings>=0.22.0",
+    "mkdocstrings-python>=2.0.0",
     "mkdocs-gen-files>=0.5.0",
     "mkdocs-literate-nav>=0.6.0",
     "pillow>=10.0.0",
     "cairosvg>=2.7.1",
-    "mike>=2.0"
+    "mike>=2.0",
+    "mknotebooks"
 ]
 
 [project.urls]
diff --git a/src/spinplots/__init__.py b/src/spinplots/__init__.py
index fc94481..514b892 100644
--- a/src/spinplots/__init__.py
+++ b/src/spinplots/__init__.py
@@ -7,11 +7,21 @@
 
 from __future__ import annotations
 
-from spinplots.plot import bruker1d, bruker1d_grid, bruker2d, df2d, dmfit1d
+from spinplots.plot import (
+    bruker1d,
+    bruker1d_grid,
+    bruker2d,
+    bruker2d_grid,
+    df2d,
+    dmfit1d,
+    dmfit1d_grid,
+    dmfit2d,
+    dmfit2d_grid,
+)
 from spinplots.spin import Spin, SpinCollection
 from spinplots.utils import calculate_projections
 
-__version__ = "0.2.1"
+__version__ = "0.2.2"
 
 __all__ = [
     "Spin",
@@ -19,8 +29,11 @@
     "bruker1d",
     "bruker1d_grid",
     "bruker2d",
+    "bruker2d_grid",
     "calculate_projections",
     "df2d",
     "dmfit1d",
+    "dmfit1d_grid",
     "dmfit2d",
+    "dmfit2d_grid",
 ]
diff --git a/src/spinplots/_helpers.py b/src/spinplots/_helpers.py
new file mode 100644
index 0000000..197a23a
--- /dev/null
+++ b/src/spinplots/_helpers.py
@@ -0,0 +1,134 @@
+from __future__ import annotations
+
+import matplotlib.pyplot as plt
+from matplotlib.ticker import MultipleLocator
+
+
+def _save_figure(fig, save, filename, format, default_name):
+    """Save figure with consistent settings across all plot functions.
+
+    Parameters
+    ----------
+    fig : matplotlib.figure.Figure
+        The figure to save.
+    save : bool
+        Whether to save.
+    filename : str or None
+        User-provided filename (without extension).
+    format : str or None
+        File format (e.g., 'png', 'pdf'). Defaults to 'png'.
+    default_name : str
+        Default filename to use if filename is None.
+    """
+    if save:
+        full_filename = f"{filename or default_name}.{format or 'png'}"
+        fig.savefig(full_filename, dpi=300, bbox_inches="tight", pad_inches=0.1)
+
+
+def _parse_nucleus(nuclei_string):
+    """Parse a nucleus string like '13C' into ('13', 'C').
+
+    Parameters
+    ----------
+    nuclei_string : str
+        Nucleus identifier (e.g., '13C', '1H', '29Si').
+
+    Returns
+    -------
+    number : str
+        The mass number digits (e.g., '13').
+    name : str
+        The element name (e.g., 'C').
+    """
+    s = str(nuclei_string)
+    number = "".join(filter(str.isdigit, s))
+    name = "".join(filter(str.isalpha, s))
+    return number, name
+
+
+def _nucleus_label(nuclei_string):
+    """Generate a LaTeX-formatted axis label from a nucleus string.
+
+    Parameters
+    ----------
+    nuclei_string : str
+        Nucleus identifier (e.g., '13C', '1H').
+
+    Returns
+    -------
+    str
+        Formatted label like '$^{13}$C (ppm)'.
+    """
+    number, name = _parse_nucleus(nuclei_string)
+    return f"$^{{{number}}}${name} (ppm)"
+
+
+def _apply_tick_spacing(ax, defaults):
+    """Apply tick spacing from defaults to both axes.
+
+    Parameters
+    ----------
+    ax : matplotlib.axes.Axes
+        The axes to modify.
+    defaults : dict
+        Defaults dict containing 'xtickspacing', 'ytickspacing', 'tickspacing'.
+    """
+    xtick = defaults.get("xtickspacing") or defaults.get("tickspacing")
+    if xtick:
+        ax.xaxis.set_major_locator(MultipleLocator(xtick))
+
+    ytick = defaults.get("ytickspacing") or defaults.get("tickspacing")
+    if ytick:
+        ax.yaxis.set_major_locator(MultipleLocator(ytick))
+
+
+def _resolve_per_subplot(value, idx):
+    """Resolve a parameter that may be a single value or per-subplot list.
+
+    Parameters
+    ----------
+    value : tuple or list of tuples or None
+        A single tuple (applied to all subplots) or a list of tuples
+        (one per subplot).
+    idx : int
+        The current subplot index.
+
+    Returns
+    -------
+    tuple or None
+        The resolved value for this subplot.
+    """
+    if value is None:
+        return None
+    if isinstance(value, tuple):
+        return value
+    if isinstance(value, list) and idx < len(value):
+        return value[idx]
+    return None
+
+
+def _handle_show_return(_fig, return_value, return_fig, save):
+    """Handle the common show/return/save logic at end of plot functions.
+
+    Parameters
+    ----------
+    fig : matplotlib.figure.Figure
+        The figure object.
+    return_value : any
+        The value to return if return_fig is True.
+    return_fig : bool
+        Whether to return figure objects.
+    save : bool
+        Whether the figure was saved.
+
+    Returns
+    -------
+    The return_value if return_fig is True, else None.
+    """
+    if return_fig:
+        return return_value
+
+    if not save:
+        plt.show()
+
+    return None
diff --git a/src/spinplots/cli.py b/src/spinplots/cli.py
index a9c9700..4497267 100644
--- a/src/spinplots/cli.py
+++ b/src/spinplots/cli.py
@@ -1,3 +1,22 @@
+"""Command-line interface for SpinPlots.
+
+Provides the ``bruker2csv`` command, which converts Bruker NMR data
+to CSV files.
+
+Usage
+-----
+.. code-block:: bash
+
+    bruker2csv <path_to_data> <path_to_output>
+
+Parameters
+----------
+path_to_data : str
+    Path to the Bruker experiment directory.
+path_to_output : str
+    Path for the output CSV file.
+"""
+
 from __future__ import annotations
 
 import logging
diff --git a/src/spinplots/io.py b/src/spinplots/io.py
index 5d55862..3c54198 100644
--- a/src/spinplots/io.py
+++ b/src/spinplots/io.py
@@ -18,22 +18,26 @@ def read_nmr(
     provider: str = "bruker",
     tags: str | list[str] | None = None,
     **kwargs,
-) -> Spin | SpinCollection:
+) -> SpinCollection:
     """
     Reads NMR data from a specified path or list of paths and provider,
-    returning a single Spin object containing all datasets.
+    returning a SpinCollection object.
 
     Args:
         path (str | list[str]): Path or list of paths to the NMR data directory(ies).
-        provider (str): The NMR data provider (currently only 'bruker' is supported).
+        provider (str): The NMR data provider ('bruker' or 'dmfit').
+        tags (str | list[str] | None): Tag(s) to identify each spectrum. A single
+            string is accepted for a single path (e.g., ``tags="glycine"``). For
+            multiple paths, pass a list matching the number of paths
+            (e.g., ``tags=["glycine", "alanine"]``).
         **kwargs: Additional provider-specific arguments passed to the reader
-                  (e.g., 'homo' for Bruker 2D).
+                  (e.g., 'homonuclear' for Bruker 2D).
 
     Returns:
-        Spin: A Spin object containing the data for all successfully read spectra.
+        SpinCollection: A SpinCollection containing the loaded spectra.
 
     Raises:
-        ValueError: If the provider is not supported.
+        ValueError: If the provider is not supported or tags length doesn't match paths.
         IOError: If there are problems processing the files.
     """
 
@@ -41,6 +45,9 @@ def read_nmr(
 
     paths_to_read = path if isinstance(path, list) else [path]
 
+    if isinstance(tags, str):
+        tags = [tags]
+
     if tags is not None and len(tags) != len(paths_to_read):
         raise ValueError("Length of tags must match the number of paths.")
 
@@ -61,9 +68,6 @@ def read_nmr(
         spin = Spin(spectrum_data=spectrum_data, provider=provider, tag=tag)
         spins.append(spin)
 
-    if len(spins) == 1:
-        return spins[0]
-
     return SpinCollection(spins)
 
 
@@ -121,7 +125,7 @@ def _read_bruker_data(path: str, **kwargs) -> dict:
         spectrum_data["nuclei"] = udic[0]["label"]
 
     elif ndim == 2:
-        homo = kwargs.get("homo", False)
+        homo = kwargs.get("homonuclear", kwargs.get("homo", False))
         nuclei_y = udic[0]["label"]
         nuclei_x = udic[1]["label"]
         if homo:
diff --git a/src/spinplots/plot.py b/src/spinplots/plot.py
index 704f9fe..39305cd 100644
--- a/src/spinplots/plot.py
+++ b/src/spinplots/plot.py
@@ -10,8 +10,30 @@
 from matplotlib.lines import Line2D
 from matplotlib.ticker import MultipleLocator
 
+from spinplots._helpers import (
+    _apply_tick_spacing,
+    _handle_show_return,
+    _nucleus_label,
+    _parse_nucleus,
+    _resolve_per_subplot,
+    _save_figure,
+)
 from spinplots.utils import calculate_projections
 
+
+def _validate_kwargs(kwargs, defaults, func_name):
+    """Warn about unrecognized keyword arguments that will be silently ignored."""
+    unknown = set(kwargs) - set(defaults)
+    if unknown:
+        warnings.warn(
+            f"{func_name}() got unexpected keyword argument(s): "
+            f"{', '.join(sorted(unknown))}. "
+            f"Valid options are: {', '.join(sorted(defaults))}.",
+            UserWarning,
+            stacklevel=3,
+        )
+
+
 # Default values
 DEFAULTS = {
     "labelsize": 12,
@@ -27,6 +49,8 @@
     "yaxislabel": "Intensity (a.u.)",
     "xaxislabel": None,
     "tickspacing": None,
+    "xtickspacing": None,
+    "ytickspacing": None,
 }
 
 
@@ -36,43 +60,62 @@ def bruker2d(
     contour_num: int = 10,
     contour_factor: float = 1.2,
     cmap: str | list[str] | None = None,
-    colors: list[str] | None = None,
-    proj_colors=None,
-    xlim=None,
-    ylim=None,
-    save=False,
-    filename=None,
-    format=None,
-    diag=None,
-    homo=False,
-    return_fig=False,
+    color: list[str] | None = None,
+    proj_color: list[str] | None = None,
+    xlim: tuple[float, float] | None = None,
+    ylim: tuple[float, float] | None = None,
+    save: bool = False,
+    filename: str | None = None,
+    format: str | None = None,
+    diagonal: float | None = None,
+    homonuclear: bool = False,
+    return_fig: bool = False,
     **kwargs,
-):
+) -> tuple | dict | None:
     """
-    Plots a 2D NMR spectrum from spectrum dictionaries.
-
-    Parameters:
-        spectra (dict or list): Dictionary or list of dictionaries containing spectrum data.
-        contour_start (float, optional): Start value for the contour levels. Default is 1e5.
-        contour_num (int, optional): Number of contour levels. Default is 10.
-        contour_factor (float, optional): Factor by which the contour levels increase. Default is 1.2.
-
-    Keyword arguments:
-        cmap (str or list): Colormap(s) to use for the contour lines.
-        colors (list): Colors to use when overlaying spectra.
-        proj_colors (list): Colors to use for the projections.
-        xlim (tuple): The limits for the x-axis.
-        ylim (tuple): The limits for the y-axis.
-        save (bool): Whether to save the plot.
-        filename (str): The name of the file to save the plot.
-        format (str): The format to save the file in.
-        diag (float or None): Slope of the diagonal line/None.
-        homo (bool): True if doing homonuclear experiment. When True, both axes will show the same nucleus.
-        return_fig (bool): Whether to return the figure and axes.
-        **kwargs: Additional keyword arguments for customizing the plot.
+    Plot one or more 2D Bruker NMR spectra with contour lines and projections.
 
-    Example:
-        bruker2d(spectrum, 0.1, 10, 1.2, cmap='viridis', xlim=(0, 100), ylim=(0, 100), save=True, filename='2d_spectrum', format='png', diag=True)
+    Parameters
+    ----------
+    spectra : dict or list of dict
+        Dictionary or list of dictionaries containing spectrum data.
+    contour_start : float, optional
+        Starting contour level. If None, defaults to 5 % of the data maximum.
+    contour_num : int, optional
+        Number of contour levels. Default is 10.
+    contour_factor : float, optional
+        Multiplicative factor between successive contour levels. Default is 1.2.
+    cmap : str or list of str, optional
+        Colormap(s) for the contour lines. Mutually exclusive with *color*.
+    color : list of str, optional
+        Solid color(s) for contour lines when overlaying spectra.
+    proj_color : list of str, optional
+        Color(s) for the projection traces.
+    xlim : tuple of float, optional
+        Limits for the x-axis (F2 / direct dimension).
+    ylim : tuple of float, optional
+        Limits for the y-axis (F1 / indirect dimension).
+    save : bool, optional
+        Whether to save the plot. Default is False.
+    filename : str, optional
+        Filename for saving (without extension).
+    format : str, optional
+        File format for saving (e.g. ``'png'``, ``'pdf'``).
+    diagonal : float, optional
+        Slope of a diagonal reference line (e.g. 2 for DQ-SQ).
+    homonuclear : bool, optional
+        Set to True when both axes correspond to the same nucleus.
+    return_fig : bool, optional
+        Whether to return the figure and axes dict. Default is False.
+    **kwargs : dict
+        Additional customization (``axisfontsize``, ``tickfontsize``,
+        ``linewidth_contour``, ``linewidth_proj``, ``alpha``,
+        ``xaxislabel``, ``yaxislabel``, ``tickspacing``, etc.).
+
+    Returns
+    -------
+    dict or None
+        Axes dictionary if *return_fig* is True, else None.
     """
 
     spectra = spectra if isinstance(spectra, list) else [spectra]
@@ -82,6 +125,7 @@ def bruker2d(
 
     defaults = DEFAULTS.copy()
     defaults["yaxislabel"] = None
+    _validate_kwargs(kwargs, defaults, "bruker2d")
     defaults.update(
         {k: v for k, v in kwargs.items() if k in defaults and v is not None}
     )
@@ -105,21 +149,15 @@ def bruker2d(
 
         nuclei_list = spectrum["nuclei"]
 
-        if homo:
+        if homonuclear:
             nuclei_x = nuclei_list[1]
             nuclei_y = nuclei_list[1]
         else:
             nuclei_x = nuclei_list[1]
             nuclei_y = nuclei_list[0]
 
-        number_x, nucleus_x = (
-            "".join(filter(str.isdigit, nuclei_x)),
-            "".join(filter(str.isalpha, nuclei_x)),
-        )
-        number_y, nucleus_y = (
-            "".join(filter(str.isdigit, nuclei_y)),
-            "".join(filter(str.isalpha, nuclei_y)),
-        )
+        number_x, nucleus_x = _parse_nucleus(nuclei_x)
+        number_y, nucleus_y = _parse_nucleus(nuclei_y)
         ppm_x = spectrum["ppm_scale"][1]
         ppm_x_limits = (ppm_x[0], ppm_x[-1])
         ppm_y = spectrum["ppm_scale"][0]
@@ -140,12 +178,12 @@ def bruker2d(
 
         if (
             isinstance(spectrum["projections"], dict)
-            and "x" in spectrum["projections"]
-            and "y" in spectrum["projections"]
+            and "f2" in spectrum["projections"]
+            and "f1" in spectrum["projections"]
         ):
             if xlim is None and ylim is None:
-                proj_x = spectrum["projections"]["x"]
-                proj_y = spectrum["projections"]["y"]
+                proj_x = spectrum["projections"]["f2"]
+                proj_y = spectrum["projections"]["f1"]
             else:
                 zoomed_data = data[y_indices, x_indices]
                 proj_x = np.amax(zoomed_data, axis=0)
@@ -158,11 +196,15 @@ def bruker2d(
         if contour_start is None:
             contour_start = 0.05 * np.max(data)
 
+        assert contour_start is not None
         contour_levels = contour_start * contour_factor ** np.arange(contour_num)
 
         x_proj_ppm = ppm_x[x_indices]
         y_proj_ppm = ppm_y[y_indices]
 
+        if cmap is not None and color is not None:
+            raise ValueError("Only one of cmap or color can be provided.")
+
         if cmap is not None:
             if isinstance(cmap, str):
                 cmap = [cmap]
@@ -184,10 +226,10 @@ def bruker2d(
                 norm=LogNorm(vmin=contour_levels[0], vmax=contour_levels[-1]),
             )
 
-            if proj_colors and i < len(proj_colors):
-                proj_color = proj_colors[i]
+            if proj_color and i < len(proj_color):
+                _pcolor = proj_color[i]
             else:
-                proj_color = cmap_i(
+                _pcolor = cmap_i(
                     mcolors.Normalize(
                         vmin=contour_levels.min(), vmax=contour_levels.max()
                     )(contour_levels[0])
@@ -197,20 +239,18 @@ def bruker2d(
                 x_proj_ppm,
                 proj_x,
                 linewidth=defaults["linewidth_proj"],
-                color=proj_color,
+                color=_pcolor,
             )
             ax["a"].axis(False)
             ax["b"].plot(
                 -proj_y,
                 y_proj_ppm,
                 linewidth=defaults["linewidth_proj"],
-                color=proj_color,
+                color=_pcolor,
             )
             ax["b"].axis(False)
-        elif cmap is not None and colors is not None:
-            raise ValueError("Only one of cmap or colors can be provided.")
-        elif colors is not None and cmap is None:
-            contour_color = colors[i % len(colors)]
+        elif color is not None:
+            contour_color = color[i % len(color)]
             ax["A"].contour(
                 x_proj_ppm,
                 y_proj_ppm,
@@ -220,28 +260,28 @@ def bruker2d(
                 linewidths=defaults["linewidth_contour"],
             )
 
-            if proj_colors and i < len(proj_colors):
-                proj_color = proj_colors[i]
+            if proj_color and i < len(proj_color):
+                _pcolor = proj_color[i]
             else:
-                proj_color = contour_color
+                _pcolor = contour_color
 
             ax["a"].plot(
                 x_proj_ppm,
                 proj_x,
                 linewidth=defaults["linewidth_proj"],
-                color=proj_color,
+                color=_pcolor,
             )
             ax["a"].axis(False)
             ax["b"].plot(
                 -proj_y,
                 y_proj_ppm,
                 linewidth=defaults["linewidth_proj"],
-                color=proj_color,
+                color=_pcolor,
             )
             ax["b"].axis(False)
 
         else:
-            proj_color = "black"
+            _pcolor = "black"
             # Create contour plot with basic black color
             ax["A"].contour(
                 x_proj_ppm,
@@ -255,14 +295,14 @@ def bruker2d(
                 x_proj_ppm,
                 proj_x,
                 linewidth=defaults["linewidth_proj"],
-                color=proj_color,
+                color=_pcolor,
             )
             ax["a"].axis(False)
             ax["b"].plot(
                 -proj_y,
                 y_proj_ppm,
                 linewidth=defaults["linewidth_proj"],
-                color=proj_color,
+                color=_pcolor,
             )
             ax["b"].axis(False)
         if xaxislabel := defaults.get("xaxislabel"):
@@ -277,16 +317,10 @@ def bruker2d(
         else:
             defaults["yaxislabel"] = f"$^{{{number_y}}}\\mathrm{{{nucleus_y}}}$ (ppm)"
 
-        if defaults["tickspacing"]:
-            ax["A"].xaxis.set_major_locator(
-                plt.MultipleLocator(defaults["tickspacing"])
-            )
-            ax["A"].yaxis.set_major_locator(
-                plt.MultipleLocator(defaults["tickspacing"])
-            )
+        _apply_tick_spacing(ax["A"], defaults)
 
         if (
-            homo
+            homonuclear
             and "yaxislabel" not in kwargs
             and "xaxislabel" not in kwargs
             and defaults["yaxislabel"] != defaults["xaxislabel"]
@@ -318,13 +352,13 @@ def bruker2d(
             labelfontfamily=defaults["tickfont"] if defaults["tickfont"] else None,
         )
 
-        if diag is not None:
+        if diagonal is not None:
             x_diag = np.linspace(
                 xlim[0] if xlim else ppm_x_limits[0],
                 xlim[1] if xlim else ppm_x_limits[1],
                 100,
             )
-            y_diag = diag * x_diag
+            y_diag = diagonal * x_diag
             ax["A"].plot(x_diag, y_diag, linestyle="--", color="gray")
 
         if xlim:
@@ -334,24 +368,311 @@ def bruker2d(
             ax["A"].set_ylim(ylim)
             ax["b"].set_ylim(ylim)
 
-    if save:
-        if filename and format:
-            full_filename = f"{filename}.{format}"
+    _save_figure(fig, save, filename, format, "2d_nmr_spectrum")
+    return _handle_show_return(fig, ax, return_fig, save)
+
+
+def bruker2d_grid(
+    spectra: dict | list[dict],
+    subplot_dims: tuple[int, int] = (1, 1),
+    contour_start: float | None = None,
+    contour_num: int = 10,
+    contour_factor: float = 1.2,
+    cmap: str | list[str] | None = None,
+    color: list[str] | None = None,
+    proj_color: list[str] | None = None,
+    xlim: tuple[float, float] | list[tuple[float, float]] | None = None,
+    ylim: tuple[float, float] | list[tuple[float, float]] | None = None,
+    titles: list[str] | None = None,
+    save: bool = False,
+    filename: str | None = None,
+    format: str | None = None,
+    diagonal: float | None = None,
+    homonuclear: bool = False,
+    return_fig: bool = False,
+    **kwargs,
+) -> tuple | None:
+    """
+    Plots multiple 2D Bruker NMR spectra in a grid layout with projections.
+
+    Parameters
+    ----------
+    spectra : dict or list of dict
+        Dictionary or list of dictionaries containing spectrum data.
+    subplot_dims : tuple, optional
+        Grid dimensions as (rows, cols). Default is (1, 1).
+    contour_start : float, optional
+        Start value for the contour levels.
+    contour_num : int, optional
+        Number of contour levels. Default is 10.
+    contour_factor : float, optional
+        Factor by which the contour levels increase. Default is 1.2.
+    cmap : str or list of str, optional
+        Colormap(s) for contour fill.
+    color : list of str, optional
+        Colors for contour lines when overlaying spectra.
+    proj_color : list of str, optional
+        Colors for the projections.
+    xlim : tuple or list of tuples, optional
+        X-axis limits. A single tuple applies to all subplots.
+        A list of tuples sets per-subplot limits.
+    ylim : tuple or list of tuples, optional
+        Y-axis limits. Same format as xlim.
+    titles : list of str, optional
+        Titles for each subplot.
+    save : bool, optional
+        Whether to save the plot.
+    filename : str, optional
+        Filename for saving (without extension).
+    format : str, optional
+        File format for saving.
+    diagonal : float or None, optional
+        Slope of the diagonal reference line.
+    homonuclear : bool, optional
+        True if this is a homonuclear experiment.
+    return_fig : bool, optional
+        Whether to return (fig, axes).
+    **kwargs : dict
+        Additional customization (axisfontsize, tickfontsize, linewidth_contour,
+        linewidth_proj, alpha, xaxislabel, yaxislabel, tickspacing, etc.).
+
+    Returns
+    -------
+    tuple of (Figure, list of dict) or None
+        (fig, axes) if return_fig is True, else None.
+
+    Example:
+        bruker2d_grid([spectrum1, spectrum2], subplot_dims=(1, 2), contour_start=0.1,
+                  contour_num=10, contour_factor=1.2, cmap='viridis',
+                  xlim=(0, 100), ylim=(0, 100), save=True,
+                  filename='2d_spectra_grid', format='png')
+    """
+    spectra = spectra if isinstance(spectra, list) else [spectra]
+
+    if not all(s["ndim"] == 2 for s in spectra):
+        raise ValueError("All spectra must be 2-dimensional for bruker2d_grid.")
+
+    defaults = DEFAULTS.copy()
+    defaults["yaxislabel"] = None
+    _validate_kwargs(kwargs, defaults, "bruker2d_grid")
+    defaults.update(
+        {k: v for k, v in kwargs.items() if k in defaults and v is not None}
+    )
+
+    rows, cols = subplot_dims
+    fig = plt.figure(figsize=(6 * cols, 6 * rows))
+
+    gs = fig.add_gridspec(rows, cols, wspace=0.15, hspace=0.15)
+
+    axes = []
+
+    for idx, spectrum in enumerate(spectra):
+        if idx >= rows * cols:
+            break
+
+        row = idx // cols
+        col = idx % cols
+
+        # Create subgrid for each 2D plot with projections
+        gs_sub = gs[row, col].subgridspec(10, 10, wspace=0.01, hspace=0.01)
+
+        ax_top = fig.add_subplot(gs_sub[0, 1:])
+        ax_left = fig.add_subplot(gs_sub[1:, 0])
+        ax_main = fig.add_subplot(gs_sub[1:, 1:], sharex=ax_top, sharey=ax_left)
+
+        data = spectrum["data"]
+        nuclei_list = spectrum["nuclei"]
+
+        if homonuclear:
+            nuclei_x = nuclei_list[1]
+            nuclei_y = nuclei_list[1]
+        else:
+            nuclei_x = nuclei_list[1]
+            nuclei_y = nuclei_list[0]
+
+        number_x, nucleus_x = _parse_nucleus(nuclei_x)
+        number_y, nucleus_y = _parse_nucleus(nuclei_y)
+
+        ppm_x = spectrum["ppm_scale"][1]
+        ppm_y = spectrum["ppm_scale"][0]
+
+        # Resolve per-subplot xlim/ylim
+        effective_xlim = _resolve_per_subplot(xlim, idx)
+        effective_ylim = _resolve_per_subplot(ylim, idx)
+
+        # Handle xlim and ylim for data slicing
+        if effective_xlim:
+            x_min_idx = np.abs(ppm_x - max(effective_xlim)).argmin()
+            x_max_idx = np.abs(ppm_x - min(effective_xlim)).argmin()
+            x_indices = slice(min(x_min_idx, x_max_idx), max(x_min_idx, x_max_idx))
+        else:
+            x_indices = slice(None)
+
+        if effective_ylim:
+            y_min_idx = np.abs(ppm_y - max(effective_ylim)).argmin()
+            y_max_idx = np.abs(ppm_y - min(effective_ylim)).argmin()
+            y_indices = slice(min(y_min_idx, y_max_idx), max(y_min_idx, y_max_idx))
+        else:
+            y_indices = slice(None)
+
+        # Calculate or retrieve projections
+        if (
+            isinstance(spectrum["projections"], dict)
+            and "f2" in spectrum["projections"]
+            and "f1" in spectrum["projections"]
+        ):
+            if xlim is None and ylim is None:
+                proj_x = spectrum["projections"]["f2"]
+                proj_y = spectrum["projections"]["f1"]
+            else:
+                zoomed_data = data[y_indices, x_indices]
+                proj_x = np.amax(zoomed_data, axis=0)
+                proj_y = np.amax(zoomed_data, axis=1)
+        else:
+            zoomed_data = data[y_indices, x_indices]
+            proj_x = np.amax(zoomed_data, axis=0)
+            proj_y = np.amax(zoomed_data, axis=1)
+
+        if contour_start is None:
+            local_contour_start = 0.05 * np.max(data)
+        else:
+            local_contour_start = contour_start
+
+        assert local_contour_start is not None
+        contour_levels = local_contour_start * contour_factor ** np.arange(contour_num)
+
+        x_proj_ppm = ppm_x[x_indices]
+        y_proj_ppm = ppm_y[y_indices]
+
+        # Determine colors
+        if cmap is not None:
+            if isinstance(cmap, str):
+                cmap = [cmap]
+            cmap_i = plt.get_cmap(cmap[idx % len(cmap)])
+            ax_main.contour(
+                x_proj_ppm,
+                y_proj_ppm,
+                data[y_indices, x_indices],
+                contour_levels,
+                cmap=cmap_i,
+                linewidths=defaults["linewidth_contour"],
+                norm=LogNorm(vmin=contour_levels[0], vmax=contour_levels[-1]),
+            )
+            if proj_color and idx < len(proj_color):
+                _pcolor = proj_color[idx]
+            else:
+                _pcolor = cmap_i(
+                    mcolors.Normalize(
+                        vmin=contour_levels.min(), vmax=contour_levels.max()
+                    )(contour_levels[0])
+                )
+        elif color is not None:
+            contour_color = color[idx % len(color)]
+            ax_main.contour(
+                x_proj_ppm,
+                y_proj_ppm,
+                data[y_indices, x_indices],
+                contour_levels,
+                colors=contour_color,
+                linewidths=defaults["linewidth_contour"],
+            )
+            _pcolor = (
+                proj_color[idx]
+                if proj_color and idx < len(proj_color)
+                else contour_color
+            )
+        else:
+            _pcolor = "black"
+            ax_main.contour(
+                x_proj_ppm,
+                y_proj_ppm,
+                data[y_indices, x_indices],
+                contour_levels,
+                colors="black",
+                linewidths=defaults["linewidth_contour"],
+            )
+
+        # Plot projections
+        ax_top.plot(
+            x_proj_ppm,
+            proj_x,
+            linewidth=defaults["linewidth_proj"],
+            color=_pcolor,
+        )
+        ax_top.axis(False)
+
+        ax_left.plot(
+            -proj_y,
+            y_proj_ppm,
+            linewidth=defaults["linewidth_proj"],
+            color=_pcolor,
+        )
+        ax_left.axis(False)
+
+        # Set labels
+        if xaxislabel := defaults.get("xaxislabel"):
+            x_label = xaxislabel
+        else:
+            x_label = f"$^{{{number_x}}}\\mathrm{{{nucleus_x}}}$ (ppm)"
+
+        if yaxislabel := defaults.get("yaxislabel"):
+            y_label = yaxislabel
+        elif homonuclear and number_y == number_x and nucleus_y == nucleus_x:
+            y_label = x_label
         else:
-            full_filename = f"2d_nmr_spectrum.{format if format else 'png'}"
-        plt.savefig(full_filename, dpi=300, bbox_inches="tight", pad_inches=0.1)
+            y_label = f"$^{{{number_y}}}\\mathrm{{{nucleus_y}}}$ (ppm)"
+
+        ax_main.set_xlabel(
+            x_label,
+            fontsize=defaults["axisfontsize"],
+            fontname=defaults["axisfont"],
+        )
+        ax_main.set_ylabel(
+            y_label,
+            fontsize=defaults["axisfontsize"],
+            fontname=defaults["axisfont"],
+        )
+        ax_main.yaxis.set_label_position("right")
+        ax_main.yaxis.tick_right()
+
+        # Tick params
+        ax_main.tick_params(
+            axis="both",
+            labelsize=defaults["tickfontsize"],
+            labelfontfamily=defaults["tickfont"],
+        )
+
+        _apply_tick_spacing(ax_main, defaults)
+
+        # Diagonal line
+        if diagonal is not None:
+            diag_xlim = effective_xlim if effective_xlim else (ppm_x[0], ppm_x[-1])
+            x_diag = np.linspace(diag_xlim[0], diag_xlim[1], 100)
+            ax_main.plot(x_diag, diagonal * x_diag, "k--", lw=1)
 
-    if return_fig:
-        return ax
+        # Set axis limits
+        if effective_xlim:
+            ax_main.set_xlim(effective_xlim)
+        if effective_ylim:
+            ax_main.set_ylim(effective_ylim)
 
-    plt.show()
-    return None
+        # Add title if provided
+        if titles is not None and idx < len(titles):
+            ax_top.set_title(
+                titles[idx], fontsize=defaults["axisfontsize"], fontweight="bold", pad=5
+            )
+
+        axes.append({"main": ax_main, "top": ax_top, "left": ax_left})
+
+    _save_figure(fig, save, filename, format, "bruker_2d_grid")
+    return _handle_show_return(fig, (fig, axes), return_fig, save)
 
 
 def bruker1d(
     spectra: dict | list[dict],
     labels: list[str] | None = None,
     xlim: tuple[float, float] | None = None,
+    ylim: tuple[float, float] | None = None,
     save: bool = False,
     filename: str | None = None,
     format: str | None = None,
@@ -365,22 +686,44 @@ def bruker1d(
     """
     Plots one or more 1D NMR spectra from spectrum dictionaries.
 
-    Parameters:
-        spectra (dict or list): Dictionary or list of dictionaries containing spectrum data.
-        labels (list, optional): List of labels for the spectra.
-        xlim (tuple, optional): The limits for the x-axis.
-        save (bool, optional): Whether to save the plot.
-        filename (str, optional): The name of the file to save the plot.
-        format (str, optional): The format to save the file in.
-        frame (bool, optional): Whether to show the frame.
-        normalize (str, optional): Normalization method ('max', 'scans', or None).
-        stacked (bool, optional): Whether to stack the spectra.
-        color (list, optional): List of colors for the spectra.
-        return_fig (bool, optional): Whether to return the figure and axes.
-        **kwargs: Additional keyword arguments for customizing the plot.
-
-    Returns:
-        None or tuple: If return_fig is True, returns the figure and axes.
+    Parameters
+    ----------
+    spectra : dict or list of dict
+        Dictionary or list of dictionaries containing spectrum data.
+    labels : list of str, optional
+        Legend labels for each spectrum.
+    xlim : tuple, optional
+        The limits for the x-axis as (left, right).
+    ylim : tuple, optional
+        The limits for the y-axis as (bottom, top).
+    save : bool, optional
+        Whether to save the plot.
+    filename : str, optional
+        Filename for saving (without extension).
+    format : str, optional
+        File format for saving (e.g., 'png', 'pdf').
+    frame : bool, optional
+        Whether to show the axis frame (spines, y-axis ticks).
+    normalize : str, bool, or None, optional
+        Normalization method:
+
+        - ``None`` or ``False``: Plot raw data (default).
+        - ``'max'`` or ``True``: Normalize by maximum intensity.
+        - ``'scans'``: Normalize by number of scans (NS).
+    stacked : bool, optional
+        Whether to stack spectra vertically with offsets.
+    color : list of str, optional
+        Colors for each spectrum.
+    return_fig : bool, optional
+        Whether to return (fig, ax).
+    **kwargs : dict
+        Additional customization (axisfontsize, tickfontsize, linewidth,
+        linestyle, alpha, xaxislabel, yaxislabel, tickspacing, etc.).
+
+    Returns
+    -------
+    tuple of (Figure, Axes) or None
+        (fig, ax) if return_fig is True, else None.
     """
 
     spectra = spectra if isinstance(spectra, list) else [spectra]
@@ -390,6 +733,7 @@ def bruker1d(
 
     defaults = DEFAULTS.copy()
     defaults["yaxislabel"] = None
+    _validate_kwargs(kwargs, defaults, "bruker1d")
     defaults.update(
         {k: v for k, v in kwargs.items() if k in defaults and v is not None}
     )
@@ -399,10 +743,7 @@ def bruker1d(
     current_stack_offset = 0.0
 
     first_nuclei = spectra[0]["nuclei"]
-    number, nucleus = (
-        "".join(filter(str.isdigit, first_nuclei)),
-        "".join(filter(str.isalpha, first_nuclei)),
-    )
+    number, nucleus = _parse_nucleus(first_nuclei)
 
     for i, spectrum in enumerate(spectra):
         data_to_plot = None
@@ -478,8 +819,10 @@ def bruker1d(
         labelfontfamily=defaults["tickfont"],
     )
 
-    if defaults["tickspacing"]:
-        ax.xaxis.set_major_locator(plt.MultipleLocator(defaults["tickspacing"]))
+    # Apply x-axis tick spacing (y-axis only when frame is shown)
+    xtick = defaults.get("xtickspacing") or defaults.get("tickspacing")
+    if xtick:
+        ax.xaxis.set_major_locator(MultipleLocator(xtick))
 
     if not frame:
         ax.spines["top"].set_visible(False)
@@ -488,11 +831,12 @@ def bruker1d(
         ax.set_yticklabels([])
         ax.set_yticks([])
     else:
-        ax.set_ylabel(
-            defaults["yaxislabel"],
-            fontsize=defaults["axisfontsize"],
-            fontname=defaults["axisfont"],
-        )
+        if defaults["yaxislabel"]:
+            ax.set_ylabel(
+                defaults["yaxislabel"],
+                fontsize=defaults["axisfontsize"],
+                fontname=defaults["axisfont"],
+            )
         ax.tick_params(
             axis="y",
             labelsize=defaults["tickfontsize"],
@@ -504,58 +848,74 @@ def bruker1d(
     else:
         current_xlim = ax.get_xlim()
         if current_xlim[0] < current_xlim[1]:
-            ax.set_xlim(current_xlim[::-1])
-
-    if save:
-        if not filename or not format:
-            raise ValueError("Both filename and format must be provided if save=True.")
-        full_filename = f"{filename}.{format}"
-        fig.savefig(
-            full_filename, format=format, dpi=300, bbox_inches="tight", pad_inches=0.1
-        )
-        plt.show()
-        return None
+            ax.set_xlim((current_xlim[1], current_xlim[0]))
 
-    if return_fig:
-        return fig, ax
+    if ylim is not None:
+        ax.set_ylim(ylim)
 
-    plt.show()
-    return None
+    _save_figure(fig, save, filename, format, "1d_nmr_spectrum")
+    return _handle_show_return(fig, (fig, ax), return_fig, save)
 
 
 def bruker1d_grid(
     spectra: dict | list[dict],
-    labels=None,
-    subplot_dims=(1, 1),
-    xlim=None,
-    save=False,
-    filename=None,
-    format="png",
-    frame=False,
-    normalize=False,
-    color=None,
-    return_fig=False,
+    labels: list[str] | None = None,
+    subplot_dims: tuple[int, int] = (1, 1),
+    xlim: tuple[float, float] | list[tuple[float, float]] | None = None,
+    ylim: tuple[float, float] | list[tuple[float, float]] | None = None,
+    save: bool = False,
+    filename: str | None = None,
+    format: str | None = "png",
+    frame: bool = False,
+    normalize: str | bool | list | None = False,
+    color: list[str] | None = None,
+    return_fig: bool = False,
     **kwargs,
-):
+) -> tuple | None:
     """
-    Plots 1D NMR spectra from Bruker data in subplots.
-
-    Parameters:
-        spectra (dict or list): Dictionary or list of dictionaries containing spectrum data.
-        labels (list): List of labels for the spectra.
-        subplot_dims (tuple): Dimensions of the subplot grid (rows, cols).
-        xlim (list of tuples or tuple): The limits for the x-axis.
-        save (bool): Whether to save the plot.
-        filename (str): The name of the file to save the plot.
-        format (str): The format to save the file in.
-        frame (bool): Whether to show the frame.
-        normalize (str): Normalization method 'max', 'scans', or None.
-        color (str): List of colors for the spectra.
-        return_fig (bool): Whether to return the figure and axis.
-        **kwargs: Additional keyword arguments for customizing the plot.
-
-    Returns:
-        None or tuple: If return_fig is True, returns the figure and axis.
+    Plots 1D NMR spectra from Bruker data in a grid of subplots.
+
+    Parameters
+    ----------
+    spectra : dict or list of dict
+        Dictionary or list of dictionaries containing spectrum data.
+    labels : list of str, optional
+        Legend labels for each subplot's spectrum.
+    subplot_dims : tuple, optional
+        Grid dimensions as (rows, cols). Default is (1, 1).
+    xlim : tuple or list of tuples, optional
+        X-axis limits. A single tuple applies to all subplots.
+        A list of tuples sets per-subplot limits
+        (e.g., ``[(200, 0), (100, 0)]``).
+    ylim : tuple or list of tuples, optional
+        Y-axis limits. Same format as xlim.
+    save : bool, optional
+        Whether to save the plot.
+    filename : str, optional
+        Filename for saving (without extension).
+    format : str, optional
+        File format for saving (e.g., 'png', 'pdf'). Default is 'png'.
+    frame : bool, optional
+        Whether to show the axis frame (spines, y-axis ticks).
+    normalize : str, bool, list, or None, optional
+        Normalization method:
+
+        - ``None`` or ``False``: Plot raw data (default).
+        - ``'max'`` or ``True``: Normalize by maximum intensity.
+        - ``'scans'``: Normalize by number of scans (NS).
+        - ``list``: Per-spectrum normalization, e.g. ``['max', None, 'scans']``.
+    color : list of str, optional
+        Colors for each subplot's spectrum.
+    return_fig : bool, optional
+        Whether to return (fig, axes).
+    **kwargs : dict
+        Additional customization (axisfontsize, tickfontsize, linewidth,
+        linestyle, alpha, xaxislabel, yaxislabel, tickspacing, etc.).
+
+    Returns
+    -------
+    tuple of (Figure, ndarray of Axes) or None
+        (fig, axes) if return_fig is True, else None.
 
     Example:
         bruker1d_grid([spectrum1, spectrum2], labels=['Spectrum 1', 'Spectrum 2'], subplot_dims=(1, 2), xlim=[(0, 100), (0, 100)], save=True, filename='1d_spectra', format='png', frame=False, normalize='max', color=['red', 'blue'])
@@ -567,12 +927,14 @@ def bruker1d_grid(
         raise ValueError("All spectra must be 1-dimensional for bruker1d_grid.")
 
     defaults = DEFAULTS.copy()
+    _validate_kwargs(kwargs, defaults, "bruker1d_grid")
     defaults.update(
         {k: v for k, v in kwargs.items() if k in defaults and v is not None}
     )
 
     rows, cols = subplot_dims
     fig, axes = plt.subplots(rows, cols, figsize=(5 * cols, 4 * rows))
+    # Ensure axes is flat list
     axes = axes.flatten() if rows * cols > 1 else [axes]
 
     for i, spectrum in enumerate(spectra):
@@ -582,10 +944,7 @@ def bruker1d_grid(
         ax = axes[i]
 
         nuclei = spectrum["nuclei"]
-        number, nucleus = (
-            "".join(filter(str.isdigit, nuclei)),
-            "".join(filter(str.isalpha, nuclei)),
-        )
+        number, nucleus = _parse_nucleus(nuclei)
 
         ppm = spectrum["ppm_scale"]
         if isinstance(normalize, list):
@@ -651,8 +1010,10 @@ def bruker1d_grid(
             labelfontfamily=defaults["tickfont"],
         )
 
-        if defaults["tickspacing"]:
-            ax.xaxis.set_major_locator(MultipleLocator(defaults["tickspacing"]))
+        # Apply x-axis tick spacing
+        xtick = defaults["xtickspacing"] or defaults["tickspacing"]
+        if xtick:
+            ax.xaxis.set_major_locator(MultipleLocator(xtick))
 
         if not frame:
             ax.spines["top"].set_visible(False)
@@ -680,63 +1041,68 @@ def bruker1d_grid(
                     labelfontfamily=defaults["tickfont"],
                 )
 
-        if xlim and isinstance(xlim, tuple):
-            ax.set_xlim(xlim)
-        elif xlim and isinstance(xlim, list) and i < len(xlim):
-            ax.set_xlim(xlim[i])
+        effective_xlim = _resolve_per_subplot(xlim, i)
+        if effective_xlim:
+            ax.set_xlim(effective_xlim)
 
-    plt.tight_layout()
+        effective_ylim = _resolve_per_subplot(ylim, i)
+        if effective_ylim:
+            ax.set_ylim(effective_ylim)
 
-    if save:
-        if filename:
-            full_filename = f"{filename}.{format}"
-        else:
-            full_filename = f"1d_nmr_spectra.{format}"
-        fig.savefig(
-            full_filename, format=format, dpi=300, bbox_inches="tight", pad_inches=0.1
-        )
-        return None
-    elif return_fig:
-        return fig, axes
+    plt.tight_layout()
 
-    plt.show()
-    return None
+    _save_figure(fig, save, filename, format, "1d_nmr_spectra")
+    return _handle_show_return(fig, (fig, axes), return_fig, save)
 
 
 # Plot 2D NMR data from CSV or DataFrame
 def df2d(
-    path,
-    contour_start,
-    contour_num,
-    contour_factor,
-    cmap=None,
-    xlim=None,
-    ylim=None,
-    save=False,
-    filename=None,
-    format=None,
-    return_fig=False,
-):
+    path: str | pd.DataFrame,
+    contour_start: float = 1e5,
+    contour_num: int = 10,
+    contour_factor: float = 1.2,
+    cmap: str | None = None,
+    xlim: tuple[float, float] | None = None,
+    ylim: tuple[float, float] | None = None,
+    save: bool = False,
+    filename: str | None = None,
+    format: str | None = None,
+    return_fig: bool = False,
+) -> tuple | dict | None:
     """
-    Plot 2D NMR data from a CSV file or a DataFrame.
-
-    Parameters:
-    path (str): Path to the CSV file.
-    contour_start (float): Contour start value.
-    contour_num (int): Number of contour levels.
-    contour_factor (float): Contour factor.
-
-    Keyword arguments:
-        cmap (str): The colormap to use for the contour lines.
-        xlim (tuple): The limits for the x-axis.
-        ylim (tuple): The limits for the y-axis.
-        save (bool): Whether to save the plot.
-        filename (str): The name of the file to save the plot.
-        format (str): The format to save the file in.
-        return_fig (bool): Whether to return the figure and axis.
+    Plot 2D NMR data from a CSV file or a Pandas DataFrame.
 
-    Example:
-    df2d('nmr_data.csv', contour_start=4e3, contour_num=10, contour_factor=1.2, cmap='viridis', xlim=(0, 100), ylim=(0, 100), save=True, filename='2d_spectrum', format='png')
+    Parameters
+    ----------
+    path : str or DataFrame
+        Path to a CSV file, or an existing ``pandas.DataFrame`` with
+        columns for F1 ppm, F2 ppm, and intensity.
+    contour_start : float, optional
+        Starting contour level. Default is 1e5.
+    contour_num : int, optional
+        Number of contour levels. Default is 10.
+    contour_factor : float, optional
+        Multiplicative factor between successive contour levels.
+        Default is 1.2.
+    cmap : str, optional
+        Matplotlib colormap name. Default is ``'Greys'``.
+    xlim : tuple of float, optional
+        Limits for the x-axis.
+    ylim : tuple of float, optional
+        Limits for the y-axis.
+    save : bool, optional
+        Whether to save the plot. Default is False.
+    filename : str, optional
+        Filename for saving (without extension).
+    format : str, optional
+        File format for saving (e.g. ``'png'``, ``'pdf'``).
+    return_fig : bool, optional
+        Whether to return the figure and axes dict. Default is False.
+
+    Returns
+    -------
+    dict or None
+        Axes dictionary if *return_fig* is True, else None.
     """
 
     # Check if path to CSV or DataFrame
@@ -744,15 +1110,9 @@ def df2d(
 
     cols = df_nmr.columns
     f1_nuclei, f1_units = cols[0].split()
-    number_x, nucleus_x = (
-        "".join(filter(str.isdigit, f1_nuclei)),
-        "".join(filter(str.isalpha, f1_nuclei)),
-    )
+    number_x, nucleus_x = _parse_nucleus(f1_nuclei)
     f2_nuclei, f2_units = cols[1].split()
-    number_y, nucleus_y = (
-        "".join(filter(str.isdigit, f2_nuclei)),
-        "".join(filter(str.isalpha, f2_nuclei)),
-    )
+    number_y, nucleus_y = _parse_nucleus(f2_nuclei)
     data_grid = df_nmr.pivot_table(index=cols[0], columns=cols[1], values="intensity")
     proj_f1, proj_f2 = calculate_projections(df_nmr, export=False)
 
@@ -795,14 +1155,15 @@ def df2d(
             norm=LogNorm(vmin=contour_levels[0], vmax=contour_levels[-1]),
         )
 
-    ax["a"].plot(
-        proj_f2[f"{f2_nuclei} {f2_units}"], proj_f2["F2 projection"], color="black"
-    )
-    ax["a"].axis(False)
-    ax["b"].plot(
-        -proj_f1["F1 projection"], proj_f1[f"{f1_nuclei} {f1_units}"], color="black"
-    )
-    ax["b"].axis(False)
+    if proj_f2 is not None and proj_f1 is not None:
+        ax["a"].plot(
+            proj_f2[f"{f2_nuclei} {f2_units}"], proj_f2["F2 projection"], color="black"
+        )
+        ax["a"].axis(False)
+        ax["b"].plot(
+            -proj_f1["F1 projection"], proj_f1[f"{f1_nuclei} {f1_units}"], color="black"
+        )
+        ax["b"].axis(False)
 
     ax["A"].set_xlabel(f"$^{{{number_y}}}\\mathrm{{{nucleus_y}}}$ (ppm)", fontsize=13)
     ax["A"].set_ylabel(f"$^{{{number_x}}}\\mathrm{{{nucleus_x}}}$ (ppm)", fontsize=13)
@@ -818,68 +1179,44 @@ def df2d(
         ax["A"].set_ylim(ylim)
         ax["b"].set_ylim(ylim)
 
-    if save:
-        if filename:
-            full_filename = filename + "." + format
-        else:
-            full_filename = "2d_nmr_spectrum." + format
-        plt.savefig(
-            full_filename, format=format, dpi=300, bbox_inches="tight", pad_inches=0.1
-        )
-        return None
-    elif return_fig:
-        return ax
-    else:
-        plt.show()
-        return None
+    _save_figure(ax["A"].figure, save, filename, format, "2d_nmr_spectrum")
+    return _handle_show_return(ax["A"].figure, ax, return_fig, save)
 
 
 # Functions for DMFit
 def dmfit1d(
-    spin_objects,
-    color="b",
-    linewidth=1,
-    linestyle="-",
-    alpha=1,
-    model_show=True,
-    model_color="red",
-    model_linewidth=1,
-    model_linestyle="--",
-    model_alpha=1,
-    deconv_show=True,
-    deconv_color=None,
-    deconv_alpha=0.3,
-    frame=False,
-    labels=None,
-    labelsize=12,
-    xlim=None,
-    save=False,
-    format=None,
-    filename=None,
-    yaxislabel=None,
-    xaxislabel=None,
-    axisfontsize=None,
-    axisfont=None,
-    tickfontsize=None,
-    tickfont=None,
-    tickspacing=None,
-    return_fig=False,
-):
+    spectra: dict | list[dict],
+    color: str | list[str] = "b",
+    stacked: bool = False,
+    model_show: bool = True,
+    model_color: str = "red",
+    model_linewidth: float = 1,
+    model_linestyle: str = "--",
+    model_alpha: float = 1,
+    deconv_show: bool = True,
+    deconv_color: str | list[str] | None = None,
+    deconv_alpha: float = 0.3,
+    frame: bool = False,
+    labels: list[str] | None = None,
+    xlim: tuple[float, float] | None = None,
+    save: bool = False,
+    format: str | None = None,
+    filename: str | None = None,
+    return_fig: bool = False,
+    **kwargs,
+) -> tuple | None:
     """
-    Read a dmfit1d file and return a DataFrame with the data.
+    Plot one or more 1D DMFit spectra with optional model and deconvolution lines.
 
     Parameters
     ----------
-    spin_objects : Spin
-        The Spin object containing the dmfit1d file.
-    color : str, optional
-        The color of the spectrum line. The default is 'b'.
-    linewidth : int, optional
-        The width of the spectrum line. The default is 1.
-    linestyle : str, optional
-        The style of the spectrum line. The default is '-'.
-    alpha : float, optional
-        The transparency of the spectrum line. The default is 1.
+    spectra : dict or list of dict
+        Dictionary (or list of dictionaries) containing DMFit 1D spectrum data,
+        each including a 'dmfit_dataframe' key with the parsed data.
+    color : str or list of str, optional
+        The color(s) of the spectrum line(s). The default is 'b'.
+    stacked : bool, optional
+        Whether to stack multiple spectra vertically. The default is False.
     model_show : bool, optional
         Whether to show the model line. The default is True.
     model_color : str, optional
@@ -896,13 +1233,10 @@ def dmfit1d(
         The color of the deconvoluted lines. The default is None.
     deconv_alpha : float, optional
         The transparency of the deconvoluted lines. The default is 0.3.
-
     frame : bool, optional
         Whether to show the frame. The default is False.
     labels : list, optional
-        The labels for the x and y axes. The default is name of columns.
-    labelsize : int, optional
-        The size of the labels. The default is 12.
+        Legend labels. The default is None.
     xlim : tuple, optional
         The limits for the x axis. The default is None.
     save : bool, optional
@@ -911,145 +1245,171 @@ def dmfit1d(
         The format to save the figure. The default is None.
     filename : str, optional
         The name of the file to save the figure. The default is None.
-    yaxislabel : str, optional
-        The label for the y axis. The default is None.
-    xaxislabel : str, optional
-        The label for the x axis. The default is None.
-    axisfontsize : int, optional
-        The size of the axis labels. The default is None.
-    axisfont : str, optional
-        The font of the axis labels. The default is None.
-    tickfontsize : int, optional
-        The size of the tick labels. The default is None.
-    tickfont : str, optional
-        The font of the tick labels. The default is None.
-    tickspacing : int, optional
-        The spacing of the ticks. The default is None.
     return_fig : bool, optional
         Whether to return the figure. The default is False.
+    **kwargs : dict, optional
+        Additional keyword arguments:
+
+        - linewidth : float
+            Width of the spectrum line (default 1.0).
+        - linestyle : str
+            Style of the spectrum line (default '-').
+        - alpha : float
+            Transparency of the spectrum line (default 1.0).
+        - labelsize : int
+            Size of labels in the legend (default 12).
+        - xaxislabel : str
+            Custom label for x-axis.
+        - yaxislabel : str
+            Custom label for y-axis.
+        - axisfontsize : int
+            Font size for axis labels.
+        - axisfont : str
+            Font family for axis labels.
+        - tickfontsize : int
+            Font size for tick labels.
+        - tickfont : str
+            Font family for tick labels.
+        - tickspacing : float
+            Tick spacing for both axes.
+        - xtickspacing : float
+            Tick spacing for x-axis only.
+        - ytickspacing : float
+            Tick spacing for y-axis only.
 
     Returns
     -------
-    fig : matplotlib.figure.Figure
-        The figure object.
-    dmfit_df : pandas.DataFrame
-        The DataFrame with the data from the dmfit1d file.
-
+    fig, ax : tuple of (matplotlib.figure.Figure, matplotlib.axes.Axes)
+        The figure and axes objects, if return_fig is True.
     """
 
-    if not spin_objects.spectrum:
-        raise ValueError("Spin object contains no spectra.")
-
-    spectrum_info = spin_objects.spectrum
-    dmfit_df = spectrum_info.get("dmfit_dataframe")
+    spectra = spectra if isinstance(spectra, list) else [spectra]
+    multi = len(spectra) > 1
 
-    if dmfit_df is None:
-        raise ValueError(
-            "DMfit DataFrame not found in Spin object. Read data with provider='dmfit'"
-        )
+    if not spectra or not spectra[0]:
+        raise ValueError("Empty spectrum data provided.")
 
-    n_lines = sum(col.startswith("Line#") for col in dmfit_df.columns)
-
-    defaults = {
-        "color": color,
-        "linewidth": linewidth,
-        "linestyle": linestyle,
-        "alpha": alpha,
-        "model_show": model_show,
-        "model_color": model_color,
-        "model_linewidth": model_linewidth,
-        "model_linestyle": model_linestyle,
-        "model_alpha": model_alpha,
-        "deconv_show": deconv_show,
-        "deconv_color": deconv_color,
-        "deconv_alpha": deconv_alpha,
-        "frame": frame,
-        "labels": labels,
-        "labelsize": labelsize,
-        "xlim": xlim,
-        "save": save,
-        "format": format,
-        "filename": filename,
-        "yaxislabel": yaxislabel,
-        "xaxislabel": xaxislabel,
-        "axisfontsize": axisfontsize,
-        "axisfont": axisfont,
-        "tickfontsize": tickfontsize,
-        "tickfont": tickfont,
-        "tickspacing": tickspacing,
-        "return_fig": return_fig,
-    }
-
-    params = {k: v for k, v in locals().items() if k in defaults and v is not None}
-    params.update(defaults)
+    defaults = DEFAULTS.copy()
+    defaults["yaxislabel"] = None  # dmfit1d doesn't show y-axis label by default
+    _validate_kwargs(kwargs, defaults, "dmfit1d")
+    defaults.update(
+        {k: v for k, v in kwargs.items() if k in defaults and v is not None}
+    )
 
     fig, ax = plt.subplots()
-    ax.plot(
-        dmfit_df["ppm"],
-        dmfit_df["Spectrum"],
-        color=params["color"],
-        linewidth=params["linewidth"],
-        linestyle=params["linestyle"],
-        alpha=params["alpha"],
-        label=params["labels"][0]
-        if params["labels"] and len(params["labels"]) > 0
-        else None,
-    )
-    if params["model_show"]:
+    current_stack_offset = 0.0
+
+    for i, spectrum in enumerate(spectra):
+        dmfit_df = spectrum.get("dmfit_dataframe")
+
+        if dmfit_df is None:
+            raise ValueError(
+                "DMfit DataFrame not found in spectrum data. Read data with provider='dmfit'."
+            )
+
+        n_lines = sum(col.startswith("Line#") for col in dmfit_df.columns)
+
+        c = color[i % len(color)] if isinstance(color, list) else color
+
+        # Compute stack offset
+        spectrum_data = dmfit_df["Spectrum"].to_numpy().copy()
+        model_data = dmfit_df["Model"].to_numpy().copy()
+        if stacked:
+            spectrum_data = spectrum_data + current_stack_offset
+            model_data = model_data + current_stack_offset
+
+        # Spectrum label: per-spectrum label in multi mode, or full labels[0] for single
+        if labels and not multi:
+            spec_label = labels[0] if len(labels) > 0 else None
+        elif labels and multi:
+            spec_label = labels[i] if i < len(labels) else None
+        else:
+            spec_label = None
+
         ax.plot(
             dmfit_df["ppm"],
-            dmfit_df["Model"],
-            color=params["model_color"],
-            linewidth=params["model_linewidth"],
-            linestyle=params["model_linestyle"],
-            alpha=params["model_alpha"],
-            label=params["labels"][1]
-            if params["labels"] and len(params["labels"]) > 1
-            else None,
+            spectrum_data,
+            color=c,
+            linewidth=defaults["linewidth"],
+            linestyle=defaults["linestyle"],
+            alpha=defaults["alpha"],
+            label=spec_label,
         )
-    if params["deconv_show"]:
-        for i in range(1, n_lines + 1):
-            if params["deconv_color"] is not None:
-                ax.fill_between(
-                    dmfit_df["ppm"],
-                    dmfit_df[f"Line#{i}"],
-                    alpha=params["deconv_alpha"],
-                    color=params["deconv_color"],
-                )
-            else:
-                ax.fill_between(
-                    dmfit_df["ppm"], dmfit_df[f"Line#{i}"], alpha=params["deconv_alpha"]
-                )
+        if model_show:
+            # In multi-spectrum mode, don't add legend labels for model/deconv
+            model_label = None
+            if not multi and labels and len(labels) > 1:
+                model_label = labels[1]
+            ax.plot(
+                dmfit_df["ppm"],
+                model_data,
+                color=model_color,
+                linewidth=model_linewidth,
+                linestyle=model_linestyle,
+                alpha=model_alpha,
+                label=model_label,
+            )
+        if deconv_show:
+            for j in range(1, n_lines + 1):
+                line_data = dmfit_df[f"Line#{j}"].to_numpy().copy()
+                if stacked:
+                    line_data = line_data + current_stack_offset
+                if deconv_color is not None:
+                    # Support per-line colors (list) or single color (str)
+                    dc = (
+                        deconv_color[(j - 1) % len(deconv_color)]
+                        if isinstance(deconv_color, list)
+                        else deconv_color
+                    )
+                    ax.fill_between(
+                        dmfit_df["ppm"],
+                        line_data,
+                        current_stack_offset if stacked else 0,
+                        alpha=deconv_alpha,
+                        color=dc,
+                    )
+                else:
+                    ax.fill_between(
+                        dmfit_df["ppm"],
+                        line_data,
+                        current_stack_offset if stacked else 0,
+                        alpha=deconv_alpha,
+                    )
 
-    if params["labels"]:
+        if stacked:
+            current_stack_offset += np.amax(dmfit_df["Spectrum"].values) * 1.1
+
+    if labels:
         ax.legend(
             bbox_to_anchor=(1.05, 1),
             loc="upper left",
             fontsize=defaults["labelsize"],
             prop={"family": defaults["tickfont"], "size": defaults["labelsize"]},
         )
-    if params["xlim"]:
-        ax.set_xlim(params["xlim"])
-    if params["yaxislabel"]:
-        ax.set_ylabel(params["yaxislabel"], fontsize=params["labelsize"])
-    if params["xaxislabel"]:
-        ax.set_xlabel(params["xaxislabel"], fontsize=params["labelsize"])
-    if params["axisfontsize"]:
-        ax.xaxis.label.set_size(params["axisfontsize"])
-        ax.yaxis.label.set_size(params["axisfontsize"])
-    if params["axisfont"]:
-        ax.xaxis.label.set_fontname(params["axisfont"])
-        ax.yaxis.label.set_fontname(params["axisfont"])
-    if params["tickfontsize"]:
-        ax.tick_params(axis="both", which="major", labelsize=params["tickfontsize"])
-        ax.tick_params(axis="both", which="minor", labelsize=params["tickfontsize"])
-    if params["tickfont"]:
-        ax.tick_params(axis="both", which="major", labelfont=params["tickfont"])
-        ax.tick_params(axis="both", which="minor", labelfont=params["tickfont"])
-    if params["tickspacing"]:
-        ax.xaxis.set_major_locator(plt.MultipleLocator(params["tickspacing"]))
-        ax.yaxis.set_major_locator(plt.MultipleLocator(params["tickspacing"]))
-    if params["frame"]:
+    if xlim:
+        ax.set_xlim(xlim)
+    if defaults["yaxislabel"]:
+        ax.set_ylabel(
+            defaults["yaxislabel"],
+            fontsize=defaults["axisfontsize"],
+            fontname=defaults["axisfont"],
+        )
+    if defaults["xaxislabel"]:
+        ax.set_xlabel(
+            defaults["xaxislabel"],
+            fontsize=defaults["axisfontsize"],
+            fontname=defaults["axisfont"],
+        )
+
+    ax.tick_params(
+        axis="both",
+        labelsize=defaults["tickfontsize"],
+        labelfontfamily=defaults["tickfont"],
+    )
+
+    _apply_tick_spacing(ax, defaults)
+
+    if frame:
         ax.spines["top"].set_visible(True)
         ax.spines["right"].set_visible(True)
         ax.spines["left"].set_visible(True)
@@ -1059,55 +1419,45 @@ def dmfit1d(
         ax.spines["left"].set_visible(False)
         ax.yaxis.set_ticks([])
         ax.yaxis.set_ticklabels([])
-    if params["save"]:
-        if params["format"]:
-            plt.savefig(
-                f"{params['filename']}.{params['format']}", format=params["format"]
-            )
-        else:
-            plt.savefig(params["filename"])
 
-    if params["return_fig"]:
-        return fig, ax
-    else:
-        plt.show()
-        return None
+    _save_figure(fig, save, filename, format, "dmfit_1d_spectrum")
+    return _handle_show_return(fig, (fig, ax), return_fig, save)
 
 
 def dmfit2d(
-    spin_objects,
-    contour_start=1e5,
-    contour_num=10,
-    contour_factor=1.2,
-    colors=None,
-    proj_colors=None,
-    xlim=None,
-    ylim=None,
-    labels=None,
-    save=False,
-    filename=None,
-    format=None,
-    axis_right=True,
-    diag=None,
-    return_fig=False,
+    spectra: dict | list[dict],
+    contour_start: float = 1e5,
+    contour_num: int = 10,
+    contour_factor: float = 1.2,
+    color: str | list[str] | None = None,
+    proj_color: str | list[str] | None = None,
+    xlim: tuple[float, float] | None = None,
+    ylim: tuple[float, float] | None = None,
+    labels: list[str] | None = None,
+    save: bool = False,
+    filename: str | None = None,
+    format: str | None = None,
+    axis_right: bool = True,
+    diagonal: float | None = None,
+    return_fig: bool = False,
     **kwargs,
-):
+) -> tuple | dict | None:
     """
     Plot 2D DMFit data with 1D projections.
 
     Parameters
     ----------
-    spin_objects : Spin or SpinCollection
-        The Spin object or SpinCollection containing DMFit 2D data.
+    spectra : dict or list of dict
+        Dictionary or list of dictionaries containing DMFit 2D spectrum data.
     contour_start : float, optional
         The starting contour level. Default is 1e5.
     contour_num : int, optional
         The number of contour levels. Default is 10.
     contour_factor : float, optional
         The factor by which the contour levels increase. Default is 1.2.
-    colors : str or list, optional
+    color : str or list, optional
         Color(s) for each spectrum's contours.
-    proj_colors : str or list, optional
+    proj_color : str or list, optional
         Color(s) for each spectrum's projections.
     xlim : tuple, optional
         The limits for the x-axis (F2).
@@ -1123,7 +1473,7 @@ def dmfit2d(
         Format for the saved file.
     axis_right : bool, optional
         Whether to put the y-axis on the right.
-    diag : float or None, optional
+    diagonal : float or None, optional
         Slope of the diagonal line.
     return_fig : bool, optional
         Whether to return the figure and axes dictionary.
@@ -1160,25 +1510,17 @@ def dmfit2d(
     """
 
     defaults = DEFAULTS.copy()
+    _validate_kwargs(kwargs, defaults, "dmfit2d")
     defaults.update(
         {k: v for k, v in kwargs.items() if k in defaults and v is not None}
     )
 
-    if hasattr(spin_objects, "spins"):
-        spectra_dicts = [spin_obj.spectrum for spin_obj in spin_objects.spins.values()]
-        if labels is None:
-            plot_labels = [
-                spin_obj.tag if spin_obj.tag else f"Spectrum {idx + 1}"
-                for idx, spin_obj in enumerate(spin_objects.spins.values())
-            ]
-        else:
-            plot_labels = labels
+    spectra_dicts = spectra if isinstance(spectra, list) else [spectra]
+
+    if labels is None:
+        plot_labels = [f"Spectrum {idx + 1}" for idx in range(len(spectra_dicts))]
     else:
-        spectra_dicts = [spin_objects.spectrum]
-        if labels is None:
-            plot_labels = [spin_objects.tag if spin_objects.tag else "Spectrum"]
-        else:
-            plot_labels = labels
+        plot_labels = labels
 
     if not all(s["ndim"] == 2 for s in spectra_dicts):
         raise ValueError("All spectra must be 2D.")
@@ -1200,21 +1542,21 @@ def dmfit2d(
     ]
 
     contour_colors_list = []
-    if isinstance(colors, str):
-        contour_colors_list = [colors] * num_spectra
-    elif isinstance(colors, list):
-        contour_colors_list = [colors[i % len(colors)] for i in range(num_spectra)]
+    if isinstance(color, str):
+        contour_colors_list = [color] * num_spectra
+    elif isinstance(color, list):
+        contour_colors_list = [color[i % len(color)] for i in range(num_spectra)]
     else:
         contour_colors_list = [
             default_colors[i % len(default_colors)] for i in range(num_spectra)
         ]
 
     projection_colors_list = []
-    if isinstance(proj_colors, str):
-        projection_colors_list = [proj_colors] * num_spectra
-    elif isinstance(proj_colors, list):
+    if isinstance(proj_color, str):
+        projection_colors_list = [proj_color] * num_spectra
+    elif isinstance(proj_color, list):
         projection_colors_list = [
-            proj_colors[i % len(proj_colors)] for i in range(num_spectra)
+            proj_color[i % len(proj_color)] for i in range(num_spectra)
         ]
     else:
         projection_colors_list = contour_colors_list
@@ -1288,25 +1630,8 @@ def dmfit2d(
     f2_nuc_str = str(first_spectrum_nuclei[1])
     f1_nuc_str = str(first_spectrum_nuclei[0])
 
-    num_f2, nuc_f2 = (
-        "".join(filter(str.isdigit, f2_nuc_str)),
-        "".join(filter(str.isalpha, f2_nuc_str)),
-    )
-    num_f1, nuc_f1 = (
-        "".join(filter(str.isdigit, f1_nuc_str)),
-        "".join(filter(str.isalpha, f1_nuc_str)),
-    )
-
-    final_xaxislabel = (
-        defaults.get("xaxislabel")
-        if defaults.get("xaxislabel")
-        else f"$^{{{num_f2}}}${nuc_f2} (ppm)"
-    )
-    final_yaxislabel = (
-        defaults.get("yaxislabel")
-        if defaults.get("yaxislabel")
-        else f"$^{{{num_f1}}}${nuc_f1} (ppm)"
-    )
+    final_xaxislabel = defaults.get("xaxislabel") or _nucleus_label(f2_nuc_str)
+    final_yaxislabel = defaults.get("yaxislabel") or _nucleus_label(f1_nuc_str)
 
     main_ax.set_xlabel(
         final_xaxislabel,
@@ -1342,7 +1667,7 @@ def dmfit2d(
     else:
         current_xlim_main = main_ax.get_xlim()
         if current_xlim_main[0] < current_xlim_main[1]:
-            main_ax.set_xlim(current_xlim_main[::-1])
+            main_ax.set_xlim((current_xlim_main[1], current_xlim_main[0]))
     proj_ax_f2.set_xlim(main_ax.get_xlim())
 
     if ylim:
@@ -1350,13 +1675,13 @@ def dmfit2d(
     else:
         current_ylim_main = main_ax.get_ylim()
         if current_ylim_main[0] < current_ylim_main[1]:
-            main_ax.set_ylim(current_ylim_main[::-1])
+            main_ax.set_ylim((current_ylim_main[1], current_ylim_main[0]))
     proj_ax_f1.set_ylim(main_ax.get_ylim())
 
-    if diag is not None:
+    if diagonal is not None:
         diag_xlim_eff = main_ax.get_xlim()
         x_diag_vals = np.linspace(diag_xlim_eff[0], diag_xlim_eff[1], 100)
-        main_ax.plot(x_diag_vals, diag * x_diag_vals, "k--", lw=1)
+        main_ax.plot(x_diag_vals, diagonal * x_diag_vals, "k--", lw=1)
 
     if legend_elements:
         main_ax.legend(
@@ -1367,20 +1692,488 @@ def dmfit2d(
 
     plt.tight_layout(pad=0.5)
 
-    # --- Save/Show ---
-    if save:
-        if filename and format:
-            full_filename = f"{filename}.{format}"
-        elif filename:
-            full_filename = f"{filename}.png"
+    _save_figure(fig, save, filename, format, "dmfit_2d_projections")
+    return _handle_show_return(fig, ax_dict, return_fig, save)
+
+
+def dmfit1d_grid(
+    spectra: dict | list[dict],
+    subplot_dims: tuple[int, int] = (1, 1),
+    titles: list[str] | None = None,
+    xlim: tuple[float, float] | list[tuple[float, float]] | None = None,
+    ylim: tuple[float, float] | list[tuple[float, float]] | None = None,
+    color: str | list[str] | None = None,
+    model_color: str | None = None,
+    deconv_color: str | list[str] | None = None,
+    save: bool = False,
+    filename: str | None = None,
+    format: str | None = "png",
+    return_fig: bool = False,
+    **kwargs,
+) -> tuple | None:
+    """
+    Plot multiple 1D DMFit spectra in a grid layout.
+
+    Each subplot shows an experimental spectrum overlaid with its fit/model
+    and optionally its deconvoluted components.
+
+    Parameters
+    ----------
+    spectra : dict or list of dict
+        Dictionary or list of dictionaries containing DMFit 1D spectrum data.
+    subplot_dims : tuple, optional
+        Grid dimensions as (rows, cols). Default is (1, 1).
+    titles : list of str, optional
+        Titles for each subplot. If None, no titles are shown.
+    xlim : tuple or list of tuples, optional
+        X-axis limits. A single tuple applies to all subplots.
+        A list of tuples sets per-subplot limits.
+    ylim : tuple or list of tuples, optional
+        Y-axis limits. Same format as xlim.
+    color : str or list of str, optional
+        Color(s) for experimental spectra. If a single string, the same color
+        is used for all spectra. If a list, each spectrum gets its own color.
+    model_color : str, optional
+        Color for model/fit spectra. Default is 'red'.
+    deconv_color : str, optional
+        Color for deconvoluted components. If None, uses default matplotlib colors.
+    save : bool, optional
+        Whether to save the figure. Default is False.
+    filename : str, optional
+        Filename for saving (without extension).
+    format : str, optional
+        File format for saving. Default is 'png'.
+    return_fig : bool, optional
+        Whether to return figure and axes. Default is False.
+    **kwargs : dict
+        Additional customization options (axisfontsize, tickfontsize, etc.)
+    Returns
+    -------
+    fig, axes : tuple
+        Figure and axes array if return_fig=True.
+    """
+
+    spectra = spectra if isinstance(spectra, list) else [spectra]
+
+    if not all(s["ndim"] == 1 for s in spectra):
+        raise ValueError("All spectra must be 1-dimensional for dmfit1d_grid.")
+
+    # Convert single color string to list
+    if isinstance(color, str):
+        color = [color] * len(spectra)
+
+    defaults = DEFAULTS.copy()
+    _validate_kwargs(kwargs, defaults, "dmfit1d_grid")
+    defaults.update(
+        {k: v for k, v in kwargs.items() if k in defaults and v is not None}
+    )
+
+    rows, cols = subplot_dims
+    fig, axes = plt.subplots(rows, cols, figsize=(5 * cols, 4 * rows))
+    axes = axes.flatten() if rows * cols > 1 else [axes]
+
+    for i, spectrum in enumerate(spectra):
+        if i >= len(axes):
+            break
+
+        ax = axes[i]
+
+        if spectrum["metadata"]["provider_type"] != "dmfit":
+            raise ValueError("All spectra must be from DMFit provider")
+
+        dmfit_df = spectrum.get("dmfit_dataframe")
+        if dmfit_df is None:
+            raise ValueError(
+                "DMfit DataFrame not found in spectrum. Read data with provider='dmfit'"
+            )
+
+        ppm = dmfit_df["ppm"].to_numpy()
+        data_exp = dmfit_df["Spectrum"].to_numpy()
+        data_model = dmfit_df["Model"].to_numpy()
+
+        n_lines = sum(col.startswith("Line#") for col in dmfit_df.columns)
+
+        exp_color = color[i] if color and i < len(color) else "black"
+        fit_color = model_color if model_color else "red"
+
+        # Plot experimental spectrum
+        ax.plot(
+            ppm,
+            data_exp,
+            color=exp_color,
+            linewidth=defaults["linewidth"],
+            linestyle=defaults["linestyle"],
+            alpha=defaults["alpha"],
+        )
+
+        # Plot model/fit spectrum
+        ax.plot(
+            ppm,
+            data_model,
+            color=fit_color,
+            linewidth=defaults["linewidth"],
+            linestyle="--",
+            alpha=defaults["alpha"],
+        )
+
+        # Plot deconvoluted components if they exist
+        if n_lines > 0:
+            for j in range(1, n_lines + 1):
+                if deconv_color is not None:
+                    dc = (
+                        deconv_color[(j - 1) % len(deconv_color)]
+                        if isinstance(deconv_color, list)
+                        else deconv_color
+                    )
+                    ax.fill_between(
+                        ppm,
+                        dmfit_df[f"Line#{j}"],
+                        alpha=0.3,
+                        color=dc,
+                    )
+                else:
+                    ax.fill_between(ppm, dmfit_df[f"Line#{j}"], alpha=0.3)
+
+        if titles and i < len(titles):
+            ax.set_title(titles[i], fontsize=defaults["axisfontsize"])
+
+        # X-axis label
+        if xaxislabel := defaults.get("xaxislabel"):
+            ax.set_xlabel(
+                xaxislabel,
+                fontsize=defaults["axisfontsize"],
+                fontname=defaults["axisfont"],
+            )
         else:
-            full_filename = f"dmfit_2d_projections.{format if format else 'png'}"
-        fig.savefig(full_filename, dpi=300, bbox_inches="tight", pad_inches=0.1)
+            nuclei = spectrum.get("nuclei", "Unknown")
+            if nuclei and nuclei != "Unknown":
+                ax.set_xlabel(
+                    _nucleus_label(nuclei),
+                    fontsize=defaults["axisfontsize"],
+                    fontname=defaults["axisfont"],
+                )
+            else:
+                ax.set_xlabel(
+                    "Chemical Shift (ppm)",
+                    fontsize=defaults["axisfontsize"],
+                    fontname=defaults["axisfont"],
+                )
 
-    if return_fig:
-        return ax_dict
+        ax.tick_params(
+            axis="x",
+            labelsize=defaults["tickfontsize"],
+            labelfontfamily=defaults["tickfont"],
+        )
+
+        # Apply x-axis tick spacing only (y-axis hidden)
+        xtick = defaults.get("xtickspacing") or defaults.get("tickspacing")
+        if xtick:
+            ax.xaxis.set_major_locator(MultipleLocator(xtick))
+
+        # Y-axis (no frame by default)
+        ax.spines["top"].set_visible(False)
+        ax.spines["right"].set_visible(False)
+        ax.spines["left"].set_visible(False)
+        ax.set_yticklabels([])
+        ax.set_yticks([])
+
+        effective_xlim = _resolve_per_subplot(xlim, i)
+        if effective_xlim:
+            ax.set_xlim(effective_xlim)
+
+        effective_ylim = _resolve_per_subplot(ylim, i)
+        if effective_ylim:
+            ax.set_ylim(effective_ylim)
+
+    plt.tight_layout()
+
+    _save_figure(fig, save, filename, format, "1d_dmfit_spectra")
+    return _handle_show_return(fig, (fig, axes), return_fig, save)
+
+
+def dmfit2d_grid(
+    spectra: list[dict],
+    subplot_dims: tuple[int, int] = (1, 3),
+    contour_start: float = 1e5,
+    contour_num: int = 10,
+    contour_factor: float = 1.2,
+    color: list[list[str]] | None = None,
+    proj_color: list[list[str]] | None = None,
+    xlim: tuple[float, float] | list[tuple[float, float]] | None = None,
+    ylim: tuple[float, float] | list[tuple[float, float]] | None = None,
+    titles: list[str] | None = None,
+    linestyles: list[list[str]] | None = None,
+    save: bool = False,
+    filename: str | None = None,
+    format: str | None = "png",
+    diagonal: float | None = None,
+    return_fig: bool = False,
+    **kwargs,
+) -> tuple | None:
+    """
+    Plot multiple 2D DMFit spectra in a grid layout with projections.
+    Each subplot shows an experimental spectrum overlaid with its fit/model.
+    This function expects pairs of spectra (experimental + model).
+
+    Parameters
+    ----------
+    spectra : list of dict
+        List of spectrum dictionaries containing DMFit 2D data.
+        Should contain pairs: [exp1, model1, exp2, model2, ...].
+    subplot_dims : tuple, optional
+        Grid dimensions as (rows, cols). Default is (1, 3).
+    contour_start : float, optional
+        Starting contour level. Default is 1e5.
+    contour_num : int, optional
+        Number of contour levels. Default is 10.
+    contour_factor : float, optional
+        Factor by which contour levels increase. Default is 1.2.
+    color : list of lists, optional
+        Colors for each subplot's [experimental, model] spectra.
+        E.g., [['black', 'red'], ['black', 'red'], ...].
+        If None, uses default ['black', 'red'] for all subplots.
+    proj_color : list of lists, optional
+        Colors for projections. Same structure as color.
+    xlim : tuple or list of tuples, optional
+        X-axis limits. A single tuple applies to all subplots.
+        A list of tuples sets per-subplot limits.
+    ylim : tuple or list of tuples, optional
+        Y-axis limits. Same format as xlim.
+    titles : list of str, optional
+        Titles for each subplot (one per pair). If None, no titles are shown.
+    linestyles : list of lists, optional
+        Line styles for each subplot's [experimental, model] spectra.
+        E.g., [['-', '-'], ['-', '--'], ...].
+        If None, uses default ['-', '-'] for all subplots (solid lines for both).
+    save : bool, optional
+        Whether to save the figure. Default is False.
+    filename : str, optional
+        Filename for saving (without extension).
+    format : str, optional
+        File format for saving. Default is 'png'.
+    diagonal : float, optional
+        Slope for diagonal reference line. Default is None.
+    return_fig : bool, optional
+        Whether to return figure and axes. Default is False.
+    **kwargs : dict
+        Additional customization options (axisfontsize, tickfontsize,
+        xaxislabel, yaxislabel, etc.)
+
+    Returns
+    -------
+    fig, axes : tuple, optional
+        Figure and axes array if return_fig=True.
+
+    Example
+    -------
+    >>> data = read_nmr(['exp1.ppm', 'model1.ppm', 'exp2.ppm', 'model2.ppm'],
+    ...                 provider='dmfit', tags=['1:1 exp', '1:1 model', '2:1 exp', '2:1 model'])
+    >>> data.plot(grid='1x2', contour_start=1.5e5, xlim=(65, 52), ylim=(65, 52))
+    """
+    defaults = DEFAULTS.copy()
+    _validate_kwargs(kwargs, defaults, "dmfit2d_grid")
+    defaults.update(
+        {k: v for k, v in kwargs.items() if k in defaults and v is not None}
+    )
+
+    spectra_list = spectra if isinstance(spectra, list) else [spectra]
+
+    # Check all are 2D DMFit
+    for s in spectra_list:
+        if s["ndim"] != 2:
+            raise ValueError("All spectra must be 2D for grid plotting")
+        if s["metadata"]["provider_type"] != "dmfit":
+            raise ValueError("All spectra must be from DMFit provider")
+
+    if len(spectra_list) % 2 != 0:
+        raise ValueError(
+            "dmfit2d_grid expects pairs of spectra (experimental + model). "
+            f"Got {len(spectra_list)} spectra, which is not divisible by 2."
+        )
+
+    num_pairs = len(spectra_list) // 2
+    spectrum_pairs = [
+        (spectra_list[i * 2], spectra_list[i * 2 + 1]) for i in range(num_pairs)
+    ]
+
+    rows, cols = subplot_dims
+
+    # Exp and model colors
+    if color is None:
+        color = [["black", "red"] for _ in range(num_pairs)]
+    elif isinstance(color, list) and len(color) > 0 and not isinstance(color[0], list):
+        color = [color for _ in range(num_pairs)]
+
+    # Project colors
+    if proj_color is None:
+        proj_color = color
+    elif (
+        isinstance(proj_color, list)
+        and len(proj_color) > 0
+        and not isinstance(proj_color[0], list)
+    ):
+        proj_color = [proj_color for _ in range(num_pairs)]
+
+    if linestyles is None:
+        linestyles = [["-", "-"] for _ in range(num_pairs)]
+    elif (
+        isinstance(linestyles, list)
+        and len(linestyles) > 0
+        and not isinstance(linestyles[0], list)
+    ):
+        linestyles = [linestyles for _ in range(num_pairs)]
+
+    fig = plt.figure(figsize=(6 * cols, 6 * rows))
+
+    gs = fig.add_gridspec(rows, cols, wspace=0.15, hspace=0.15)
+
+    axes = []
+
+    for idx, (exp_dict, model_dict) in enumerate(spectrum_pairs):
+        if idx >= rows * cols:
+            break
+
+        row = idx // cols
+        col = idx % cols
+
+        gs_sub = gs[row, col].subgridspec(10, 10, wspace=0.01, hspace=0.01)
+
+        ax_top = fig.add_subplot(gs_sub[0, 1:])
+        ax_left = fig.add_subplot(gs_sub[1:, 0])
+        ax_main = fig.add_subplot(gs_sub[1:, 1:], sharex=ax_top, sharey=ax_left)
+
+        exp_color = color[idx][0] if idx < len(color) else "black"
+        model_color = (
+            color[idx][1] if idx < len(color) and len(color[idx]) > 1 else "red"
+        )
+        proj_exp_color = proj_color[idx][0] if idx < len(proj_color) else exp_color
+        proj_model_color = (
+            proj_color[idx][1]
+            if idx < len(proj_color) and len(proj_color[idx]) > 1
+            else model_color
+        )
+
+        exp_linestyle = linestyles[idx][0] if idx < len(linestyles) else "-"
+        model_linestyle = (
+            linestyles[idx][1]
+            if idx < len(linestyles) and len(linestyles[idx]) > 1
+            else "-"
+        )
+
+        contour_levels = contour_start * contour_factor ** np.arange(contour_num)
+
+        # Experimental
+        exp_data = exp_dict["data"]
+        y_axis = exp_dict["ppm_scale"][0]
+        x_axis = exp_dict["ppm_scale"][1]
+        proj_f1_exp = exp_dict["projections"]["f1"]
+        proj_f2_exp = exp_dict["projections"]["f2"]
+
+        ax_main.contour(
+            x_axis,
+            y_axis,
+            exp_data,
+            levels=contour_levels,
+            colors=exp_color,
+            linewidths=defaults["linewidth_contour"],
+            alpha=defaults["alpha"],
+            linestyles=exp_linestyle,
+        )
+
+        # Model
+        model_data = model_dict["data"]
+        proj_f1_model = model_dict["projections"]["f1"]
+        proj_f2_model = model_dict["projections"]["f2"]
+
+        ax_main.contour(
+            x_axis,
+            y_axis,
+            model_data,
+            levels=contour_levels,
+            colors=model_color,
+            linewidths=defaults["linewidth_contour"],
+            alpha=defaults["alpha"],
+            linestyles=model_linestyle,
+        )
+
+        ax_top.plot(
+            x_axis,
+            proj_f2_exp,
+            color=proj_exp_color,
+            linewidth=defaults["linewidth_proj"],
+            linestyle=exp_linestyle,
+        )
+        ax_top.plot(
+            x_axis,
+            proj_f2_model,
+            color=proj_model_color,
+            linewidth=defaults["linewidth_proj"],
+            linestyle=model_linestyle,
+        )
+
+        ax_left.plot(
+            -proj_f1_exp,
+            y_axis,
+            color=proj_exp_color,
+            linewidth=defaults["linewidth_proj"],
+            linestyle=exp_linestyle,
+        )
+        ax_left.plot(
+            -proj_f1_model,
+            y_axis,
+            color=proj_model_color,
+            linewidth=defaults["linewidth_proj"],
+            linestyle=model_linestyle,
+        )
+
+        ax_top.axis("off")
+        ax_left.axis("off")
+
+        effective_xlim = _resolve_per_subplot(xlim, idx)
+        if effective_xlim:
+            ax_main.set_xlim(effective_xlim)
+
+        effective_ylim = _resolve_per_subplot(ylim, idx)
+        if effective_ylim:
+            ax_main.set_ylim(effective_ylim)
+
+        if diagonal is not None:
+            xlim_eff = (
+                effective_xlim if effective_xlim else (x_axis.max(), x_axis.min())
+            )
+            x_diag = np.linspace(xlim_eff[0], xlim_eff[1], 100)
+            ax_main.plot(x_diag, diagonal * x_diag, "k--", lw=1)
+
+        nuclei = exp_dict.get("nuclei", ["Unknown", "Unknown"])
+
+        ax_main.set_xlabel(
+            defaults["xaxislabel"] or _nucleus_label(nuclei[1]),
+            fontsize=defaults["axisfontsize"],
+            fontname=defaults["axisfont"],
+        )
+        ax_main.set_ylabel(
+            defaults["yaxislabel"] or _nucleus_label(nuclei[0]),
+            fontsize=defaults["axisfontsize"],
+            fontname=defaults["axisfont"],
+        )
+        ax_main.yaxis.set_label_position("right")
+        ax_main.yaxis.tick_right()
+
+        if titles is not None and idx < len(titles):
+            ax_top.set_title(
+                titles[idx], fontsize=defaults["axisfontsize"], fontweight="bold", pad=5
+            )
+
+        # Tick params
+        ax_main.tick_params(
+            axis="both",
+            labelsize=defaults["tickfontsize"],
+            labelfontfamily=defaults["tickfont"],
+        )
+        _apply_tick_spacing(ax_main, defaults)
 
-    if not save:
-        plt.show()
+        axes.append({"main": ax_main, "top": ax_top, "left": ax_left})
 
-    return None
+    # Save or show
+    _save_figure(fig, save, filename, format, "dmfit_2d_grid")
+    return _handle_show_return(fig, (fig, axes), return_fig, save)
diff --git a/src/spinplots/spin.py b/src/spinplots/spin.py
index e5ae8cb..b8c410c 100644
--- a/src/spinplots/spin.py
+++ b/src/spinplots/spin.py
@@ -89,13 +89,16 @@ def plot(self, grid=None, **kwargs):
             case ("bruker", 2, tuple()):
                 raise ValueError("Grid layout is not supported for 2D spectra.")
             case ("dmfit", 1, None):
-                return spinplot.dmfit1d(self, **kwargs)
+                return spinplot.dmfit1d(self.spectrum, **kwargs)
             case ("dmfit", 1, tuple()):
                 raise ValueError("Grid layout is not supported for 1D DMFit spectra.")
             case ("dmfit", 2, None):
-                return spinplot.dmfit2d(self, **kwargs)
+                return spinplot.dmfit2d([self.spectrum], **kwargs)
             case ("dmfit", 2, tuple()):
-                raise ValueError("Grid layout is not supported for 2D spectra.")
+                raise ValueError(
+                    "Grid layout for a single DMFit 2D spectrum is not supported. "
+                    "Use a SpinCollection with multiple spectra."
+                )
             case _:
                 raise ValueError(
                     f"Plotting not supported for provider: {self.provider} with ndim={self.ndim}"
@@ -104,14 +107,30 @@ def plot(self, grid=None, **kwargs):
 
 class SpinCollection:
     """
-    Represents a collection of Spin objects.
-
-    Attributes:
-        spins (dict): A dictionary of Spin objects.
-        provider (str): The source of the NMR data (e.g., 'bruker'). Assumed
-                        to be the same for all loaded spectra.
-        ndim (int): The number of dimensions of the spectra.
-        size (int): The number of Spin objects in the collection.
+    A dictionary-like container of Spin objects.
+
+    ``read_nmr()`` always returns a ``SpinCollection``, even for a single
+    path.  When the collection contains exactly one spectrum, the
+    convenience properties ``.spectrum`` and ``.tag`` delegate to the
+    inner ``Spin`` so it can be used interchangeably in most contexts.
+
+    Attributes
+    ----------
+    spins : dict
+        Mapping of ``{tag: Spin}`` for every spectrum in the collection.
+    provider : str
+        The data provider shared by all spectra (e.g. ``'bruker'``,
+        ``'dmfit'``).
+    ndim : int
+        Dimensionality shared by all spectra (1 or 2).
+    size : int
+        Number of Spin objects in the collection.
+    spectrum : dict
+        *(property, read-only)* The spectrum dictionary of the single
+        contained Spin.  Raises ``ValueError`` when ``size != 1``.
+    tag : str | None
+        *(property, read-write)* The tag of the single contained Spin.
+        Raises ``ValueError`` when ``size != 1``.
     """
 
     def __init__(self, spins: Spin | list[Spin]):
@@ -127,6 +146,43 @@ def __init__(self, spins: Spin | list[Spin]):
         self.size = 0
         self.append(spins)
 
+    @property
+    def spectrum(self) -> dict:
+        """Return the spectrum dict when the collection contains exactly one Spin."""
+        if self.size != 1:
+            raise ValueError(
+                "SpinCollection contains multiple spins. "
+                "Index into the collection to access individual spectra."
+            )
+        return next(iter(self.spins.values())).spectrum
+
+    @property
+    def tag(self) -> str | None:
+        """Return the tag when the collection contains exactly one Spin."""
+        if self.size != 1:
+            raise ValueError(
+                "SpinCollection contains multiple spins. "
+                "Index into the collection to access individual tags."
+            )
+        return next(iter(self.spins.values())).tag
+
+    @tag.setter
+    def tag(self, value: str):
+        """Set the tag when the collection contains exactly one Spin."""
+        if value is None:
+            raise ValueError(
+                "SpinCollection.tag cannot be set to None. Use a non-empty string tag."
+            )
+        if self.size != 1:
+            raise ValueError(
+                "SpinCollection contains multiple spins. "
+                "Index into the collection to set individual tags."
+            )
+        old_key = next(iter(self.spins))
+        spin = self.spins.pop(old_key)
+        spin.tag = value
+        self.spins[value] = spin
+
     def append(self, spins: Spin | list[Spin]):
         """
         Appends Spin objects to the collection.
@@ -207,19 +263,25 @@ def __iter__(self):
 
     def plot(self, grid=None, filter=None, **kwargs):
         """
-        Generates a plot of the NMR data stored in this collection.
-
-        Args:
-            grid (str, optional): Grid layout in format 'rows x cols' (e.g., '2x2', '1x3').
-                    If provided, spectra will be plotted in a grid layout.
-            filter (str | list[str], optional): A tag or list of tags to filter the spins
-                    to be plotted
-            **kwargs: Plotting keyword arguments specific to the plot type
-                    (e.g., xlim, labels, color, contour_start, etc.).
-                    These are passed to the underlying plotting function.
-
-        Returns:
-            The result from the underlying plotting function.
+        Plot the spectra in this collection.
+
+        Parameters
+        ----------
+        grid : str, optional
+            Grid layout in format ``'rows x cols'`` (e.g. ``'2x2'``,
+            ``'1x3'``).  When provided, each spectrum is placed in its
+            own subplot.
+        filter : str or list of str, optional
+            Tag or list of tags selecting a subset of spectra to plot.
+        **kwargs
+            Forwarded to the underlying plotting function (e.g.
+            ``xlim``, ``labels``, ``color``, ``contour_start``).
+
+        Returns
+        -------
+        tuple or dict or None
+            The return value of the underlying plotting function.
+            Pass ``return_fig=True`` to receive ``(fig, axes)``.
         """
         subplot_dims = None
         if grid:
@@ -245,8 +307,12 @@ def plot(self, grid=None, filter=None, **kwargs):
 
         spectra = [spin.spectrum for spin in spins_to_plot.values()]
 
-        if "labels" not in kwargs:
-            kwargs["labels"] = list(spins_to_plot.keys())
+        if subplot_dims is not None:
+            if "titles" not in kwargs:
+                kwargs["titles"] = list(spins_to_plot.keys())
+        else:
+            if "labels" not in kwargs:
+                kwargs["labels"] = list(spins_to_plot.keys())
 
         match (self.provider, self.ndim, subplot_dims):
             case ("bruker", 1, None):
@@ -258,17 +324,21 @@ def plot(self, grid=None, filter=None, **kwargs):
                     spectra, subplot_dims=subplot_dims, **kwargs
                 )
             case ("bruker", 2, tuple()):
-                raise ValueError("Grid layout is not supported for 2D spectra.")
+                return spinplot.bruker2d_grid(
+                    spectra, subplot_dims=subplot_dims, **kwargs
+                )
             case ("dmfit", 1, None):
-                if len(spins_to_plot) > 1:
-                    raise ValueError(
-                        "DMFit plots can only handle one spectrum at a time."
-                    )
-                return spinplot.dmfit1d(list(self.spins.values())[0], **kwargs)
+                return spinplot.dmfit1d(spectra, **kwargs)
             case ("dmfit", 1, tuple()):
-                raise ValueError("Grid layout is not supported for DMFit spectra.")
+                return spinplot.dmfit1d_grid(
+                    spectra, subplot_dims=subplot_dims, **kwargs
+                )
             case ("dmfit", 2, None):
-                return spinplot.dmfit2d(self, **kwargs)
+                return spinplot.dmfit2d(spectra, **kwargs)
+            case ("dmfit", 2, tuple()):
+                return spinplot.dmfit2d_grid(
+                    spectra, subplot_dims=subplot_dims, **kwargs
+                )
             case _:
                 raise ValueError(
                     f"Plotting not supported for provider: {self.provider} with ndim={self.ndim}"
diff --git a/tests/tests_io.py b/tests/test_io.py
similarity index 64%
rename from tests/tests_io.py
rename to tests/test_io.py
index 4f46a0a..d39a5ba 100644
--- a/tests/tests_io.py
+++ b/tests/test_io.py
@@ -7,7 +7,7 @@
 DATA_DIR_1D_1 = "data/1D/glycine/pdata/1"
 DATA_DIR_1D_2 = "data/1D/alanine/pdata/1"
 DATA_DIR_2D = "data/2D/16/pdata/1"
-DATA_DIR_DM = "data/DMFit/example.txt"
+DATA_DIR_DM = "data/DMFit/overlapping_spe_fit.ppm"
 
 
 def test_read_nmr_bruker_1d():
@@ -36,12 +36,24 @@ def test_read_nmr_dmfit():
 
 
 def test_read_nmr_invalid_provider():
-    with pytest.raises(ValueError, match="Invalid provider"):
+    with pytest.raises(ValueError, match="Unsupported provider"):
         read_nmr(DATA_DIR_1D_1, provider="foo")
 
 
 def test_read_nmr_tags_length():
     with pytest.raises(
-        ValueError, match="Number of tags must match the number of paths"
+        ValueError, match="Length of tags must match the number of paths"
     ):
         read_nmr([DATA_DIR_1D_1, DATA_DIR_1D_2], provider="bruker", tags=["a"])
+
+
+def test_read_nmr_tags_single_string():
+    """Test that tags accepts a single string for a single path."""
+    spin = read_nmr(DATA_DIR_1D_1, provider="bruker", tags="glycine")
+    assert spin.tag == "glycine"
+
+
+def test_read_nmr_tags_single_string_list():
+    """Test that tags as list still works for a single path."""
+    spin = read_nmr(DATA_DIR_1D_1, provider="bruker", tags=["glycine"])
+    assert spin.tag == "glycine"
diff --git a/tests/test_plots.py b/tests/test_plots.py
index 0cd0dea..7272a52 100644
--- a/tests/test_plots.py
+++ b/tests/test_plots.py
@@ -1,11 +1,21 @@
 from __future__ import annotations
 
+import warnings
+
 import matplotlib as mpl
 import matplotlib.pyplot as plt
 import pytest
 
 from spinplots.io import read_nmr
-from spinplots.plot import bruker1d, bruker1d_grid, bruker2d, df2d, dmfit1d, dmfit2d
+from spinplots.plot import (
+    bruker1d,
+    bruker1d_grid,
+    bruker2d,
+    df2d,
+    dmfit1d,
+    dmfit1d_grid,
+    dmfit2d,
+)
 from spinplots.utils import nmr_df
 
 DATA_DIR_1D_1 = "data/1D/glycine/pdata/1"
@@ -71,24 +81,25 @@ def test_df2d():
 
 def test_dmfit1d():
     spin = read_nmr(DATA_DIR_DM, provider="dmfit")
-    fig = dmfit1d(spin, return_fig=True)
+    fig = dmfit1d(spin.spectrum, return_fig=True)
     assert fig is not None
 
 
 def test_dmfit2d():
     spin = read_nmr(DATA_DIR_DM_2D, provider="dmfit")
-    fig = dmfit2d(spin, return_fig=True)
+    fig = dmfit2d([spin.spectrum], return_fig=True)
     assert fig is not None
 
 
 def test_dmfit2d_col():
-    spin = read_nmr([DATA_DIR_DM_2D, DATA_DIR_DM_2D_fit], provider="dmfit")
+    coll = read_nmr([DATA_DIR_DM_2D, DATA_DIR_DM_2D_fit], provider="dmfit")
+    spectra = [s.spectrum for s in coll.spins.values()]
     fig = dmfit2d(
-        spin,
+        spectra,
         contour_start=10,
         contour_num=5,
         contour_factor=1.5,
-        colors=["black", "red"],
+        color=["black", "red"],
         return_fig=True,
     )
     assert fig is not None
@@ -103,3 +114,34 @@ def test_bruker1d_valerror():
     spin = read_nmr(DATA_DIR_2D, "bruker")
     with pytest.raises(ValueError, match="All spectra must be 1-dimensional"):
         bruker1d([spin.spectrum])
+
+
+def test_unknown_kwarg_warns():
+    """Unknown kwargs should produce a UserWarning, not be silently ignored."""
+    spin = read_nmr(DATA_DIR_1D_1, "bruker")
+    with pytest.warns(UserWarning, match="unexpected keyword argument"):
+        bruker1d([spin.spectrum], return_fig=True, line_width=2)
+
+
+def test_valid_kwargs_no_warning():
+    """Valid kwargs should not produce a warning."""
+    spin = read_nmr(DATA_DIR_1D_1, "bruker")
+    with warnings.catch_warnings():
+        warnings.simplefilter("error")
+        _fig, _ax = bruker1d([spin.spectrum], return_fig=True, linewidth=2)
+
+
+def test_dmfit1d_stacked():
+    spin1 = read_nmr(DATA_DIR_DM, provider="dmfit")
+    spin2 = read_nmr(DATA_DIR_DM, provider="dmfit")
+    out = dmfit1d([spin1.spectrum, spin2.spectrum], stacked=True, return_fig=True)
+    assert out is not None
+
+
+def test_dmfit1d_grid():
+    spin1 = read_nmr(DATA_DIR_DM, provider="dmfit")
+    spin2 = read_nmr(DATA_DIR_DM, provider="dmfit")
+    out = dmfit1d_grid(
+        [spin1.spectrum, spin2.spectrum], subplot_dims=(1, 2), return_fig=True
+    )
+    assert out is not None
diff --git a/tests/test_spin.py b/tests/test_spin.py
index 44f9527..8d97702 100644
--- a/tests/test_spin.py
+++ b/tests/test_spin.py
@@ -49,7 +49,7 @@ def spincollection():
 
 
 def test_spin_attributes(spin_1d):
-    assert isinstance(spin_1d, Spin)
+    assert isinstance(spin_1d, SpinCollection)
     assert hasattr(spin_1d, "ndim")
     assert spin_1d.ndim == 1
     assert hasattr(spin_1d, "provider")
@@ -58,7 +58,7 @@ def test_spin_attributes(spin_1d):
 
 def test_spin_repr(spin_1d):
     r = repr(spin_1d)
-    assert "Spin(" in r
+    assert "SpinCollection" in r
 
 
 def test_spin_init_value_error():
@@ -98,11 +98,18 @@ def test_spin_plot_bad_grid_str(spin_1d):
         spin_1d.plot(grid="badgrid")
 
 
-def test_spin_plot_bad_grid_dim(spin_2d):
-    with pytest.raises(
-        ValueError, match="Grid layout is not supported for 2D spectra."
-    ):
-        spin_2d.plot(grid="1x2", contour_start=1e5, contour_num=5, contour_factor=1.5)
+def test_spin_plot_2d_grid(spin_2d):
+    """Single 2D Bruker SpinCollection can use grid layout."""
+    fig, axes = spin_2d.plot(
+        grid="1x1",
+        contour_start=1e5,
+        contour_num=5,
+        contour_factor=1.5,
+        return_fig=True,
+    )
+    assert fig is not None
+    assert len(axes) == 1
+    assert "main" in axes[0]
 
 
 def test_spin_plot_dmfit(spin_dmfit):
@@ -111,47 +118,48 @@ def test_spin_plot_dmfit(spin_dmfit):
     assert ax is not None
 
 
-def test_spin_plot_dmfit_grid_not_supported(spin_dmfit):
-    with pytest.raises(
-        ValueError, match="Grid layout is not supported for 1D DMFit spectra."
-    ):
-        spin_dmfit.plot(grid="1x1")
+def test_spin_plot_dmfit_grid(spin_dmfit):
+    """Single 1D DMFit SpinCollection can use grid layout."""
+    fig, axes = spin_dmfit.plot(grid="1x1", return_fig=True)
+    assert fig is not None
+    assert len(axes) == 1
 
 
 def test_spincollection_construction(spin_1d, spin_1d_2):
-    coll = SpinCollection([spin_1d])
+    coll = SpinCollection([spin_1d[0]])
     assert len(coll) == 1
-    coll.append(spin_1d_2)
+    coll.append(spin_1d_2[0])
     assert len(coll) == 2
 
 
 def test_spincollection_append_invalid_ndim(spin_1d, spin_2d):
-    coll = SpinCollection([spin_1d])
+    coll = SpinCollection([spin_1d[0]])
     with pytest.raises(
-        ValueError, match="All Spin objects must have the same dimension."
+        ValueError, match=r"All Spin objects must have the same dimension."
     ):
-        coll.append(spin_2d)
+        coll.append(spin_2d[0])
 
 
 def test_spincollection_append_invalid_provider(spin_1d, spin_dmfit):
-    coll = SpinCollection([spin_1d])
+    coll = SpinCollection([spin_1d[0]])
     with pytest.raises(
-        ValueError, match="All Spin objects must have the same provider."
+        ValueError, match=r"All Spin objects must have the same provider."
     ):
-        coll.append(spin_dmfit)
+        coll.append(spin_dmfit[0])
 
 
 def test_spincollection_duplicate_tag(spin_1d):
-    spin_1d.tag = "duplicate_tag"
-    coll = SpinCollection([spin_1d])
+    inner = spin_1d[0]
+    inner.tag = "duplicate_tag"
+    coll = SpinCollection([inner])
     with pytest.raises(
         ValueError, match="Spin with tag 'duplicate_tag' already exists"
     ):
-        coll.append(spin_1d)
+        coll.append(inner)
 
 
 def test_spincollection_remove_and_delitem(spin_1d, spin_1d_2):
-    coll = SpinCollection([spin_1d, spin_1d_2])
+    coll = SpinCollection([spin_1d[0], spin_1d_2[0]])
     # get tags:
     tags = list(coll.spins.keys())
     coll.remove(tags[0])
@@ -186,13 +194,15 @@ def test_spincollection_plot_grid(spincollection):
 
 def test_spincollection_plot_override_labels(spin_1d, spin_1d_2):
     """Test that custom labels override tags."""
-    spin_1d.tag = "Sample A"
-    spin_1d_2.tag = "Sample B"
-    coll = SpinCollection([spin_1d, spin_1d_2])
+    inner_1d = spin_1d[0]
+    inner_1d_2 = spin_1d_2[0]
+    inner_1d.tag = "Sample A"
+    inner_1d_2.tag = "Sample B"
+    coll = SpinCollection([inner_1d, inner_1d_2])
 
     # Plot with custom labels
     custom_labels = ["Custom 1", "Custom 2"]
-    fig, ax = coll.plot(labels=custom_labels, return_fig=True)
+    _fig, ax = coll.plot(labels=custom_labels, return_fig=True)
     legend_texts = [text.get_text() for text in ax.get_legend().get_texts()]
     assert "Custom 1" in legend_texts
     assert "Custom 2" in legend_texts
@@ -232,7 +242,7 @@ def test_spincollection_plot_dmfit_2d(spincollection_dmfit_2d):
         contour_start=10,
         contour_num=5,
         contour_factor=1.5,
-        colors=["black", "red"],
+        color=["black", "red"],
         return_fig=True,
     )
     assert isinstance(ax_dict, dict)
@@ -258,8 +268,86 @@ def test_spincollection_plot_dmfit_2d(spincollection_dmfit_2d):
     assert "Calculated" in legend_texts
 
 
-def test_spin_plot_dmfit_2d_grid_not_supported(spin_dmfit_2d):
+def test_spin_plot_dmfit_2d_grid_requires_pairs(spin_dmfit_2d):
+    """Test that a single DMFit 2D spectrum in grid mode raises about pairs."""
     with pytest.raises(
-        ValueError, match="Grid layout is not supported for 2D spectra."
+        ValueError,
+        match=r"expects pairs",
     ):
         spin_dmfit_2d.plot(grid="1x2")
+
+
+def test_spincollection_plot_dmfit_2d_grid(spincollection_dmfit_2d):
+    """Test that SpinCollection.plot(grid=...) works for dmfit 2D data."""
+    fig, axes = spincollection_dmfit_2d.plot(
+        grid="1x1",
+        contour_start=10,
+        contour_num=5,
+        contour_factor=1.5,
+        return_fig=True,
+    )
+    assert fig is not None
+    assert len(axes) == 1
+    assert "main" in axes[0]
+    assert "top" in axes[0]
+    assert "left" in axes[0]
+
+
+def test_spincollection_plot_bruker_2d_grid():
+    """Test plotting a 2D Bruker SpinCollection with grid layout."""
+    coll = read_nmr([DATA_DIR_2D, DATA_DIR_2D], "bruker", tags=["spec1", "spec2"])
+    fig, axes = coll.plot(
+        grid="1x2",
+        contour_start=1e5,
+        contour_num=5,
+        contour_factor=1.5,
+        return_fig=True,
+    )
+    assert fig is not None
+    assert len(axes) == 2
+    assert "main" in axes[0]
+    assert "main" in axes[1]
+
+
+def test_spincollection_plot_dmfit_1d_stacked():
+    """Test plotting multiple 1D DMFit spectra via SpinCollection without grid."""
+    coll = read_nmr([DATA_DIR_DM, DATA_DIR_DM], "dmfit", tags=["fit1", "fit2"])
+    fig, ax = coll.plot(return_fig=True)
+    assert fig is not None
+    assert ax is not None
+
+
+def test_spincollection_plot_dmfit_1d_grid():
+    """Test plotting a 1D DMFit SpinCollection with grid layout."""
+    coll = read_nmr([DATA_DIR_DM, DATA_DIR_DM], "dmfit", tags=["fit1", "fit2"])
+    fig, axes = coll.plot(grid="1x2", return_fig=True)
+    assert fig is not None
+    assert len(axes) == 2
+    assert len(axes[0].get_lines()) > 0
+    assert len(axes[1].get_lines()) > 0
+
+
+def test_bruker1d_grid_per_subplot_ylim(spincollection):
+    """Test per-subplot ylim as a list of tuples in bruker1d_grid."""
+    fig, axes = spincollection.plot(
+        grid="1x2",
+        ylim=[(-1e6, 1e7), (-1e6, 1e8)],
+        return_fig=True,
+    )
+    assert fig is not None
+    y0 = axes[0].get_ylim()
+    y1 = axes[1].get_ylim()
+    assert y0 != y1
+
+
+def test_bruker1d_grid_per_subplot_xlim(spincollection):
+    """Test per-subplot xlim as a list of tuples in bruker1d_grid."""
+    fig, axes = spincollection.plot(
+        grid="1x2",
+        xlim=[(200, 0), (100, 0)],
+        return_fig=True,
+    )
+    assert fig is not None
+    x0 = axes[0].get_xlim()
+    x1 = axes[1].get_xlim()
+    assert x0 != x1
diff --git a/tests/test_utils.py b/tests/test_utils.py
index f9cb00c..b72beff 100644
--- a/tests/test_utils.py
+++ b/tests/test_utils.py
@@ -71,6 +71,6 @@ def test_calculate_projections_without_filename(tmp_path):
 
 def test_calculate_projections_invalid():
     with pytest.raises(
-        ValueError, match="Data must be a DataFrame or a path to a CSV file."
+        ValueError, match=r"Data must be a DataFrame or a path to a CSV file."
     ):
         calculate_projections(42)
diff --git a/uv.lock b/uv.lock
index a8afd75..2a6a057 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,11 +1,10 @@
 version = 1
-revision = 2
-requires-python = ">=3.9"
+revision = 3
+requires-python = ">=3.10"
 resolution-markers = [
     "python_full_version >= '3.12'",
     "python_full_version == '3.11.*'",
-    "python_full_version == '3.10.*'",
-    "python_full_version < '3.10'",
+    "python_full_version < '3.11'",
 ]
 
 [[package]]
@@ -23,6 +22,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/a1/ee/48ca1a7c89ffec8b6a0c5d02b89c305671d5ffd8d3c94acf8b8c408575bb/anyio-4.9.0-py3-none-any.whl", hash = "sha256:9f76d541cad6e36af7beb62e978876f3b41e3e04f2c1fbf0884604c0a9c4d93c", size = 100916, upload-time = "2025-03-17T00:02:52.713Z" },
 ]
 
+[[package]]
+name = "attrs"
+version = "25.4.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/6b/5c/685e6633917e101e5dcb62b9dd76946cbb57c26e133bae9e0cd36033c0a9/attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11", size = 934251, upload-time = "2025-10-06T13:54:44.725Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/3a/2a/7cc015f5b9f5db42b7d48157e23356022889fc354a2813c15934b7cb5c0e/attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373", size = 67615, upload-time = "2025-10-06T13:54:43.17Z" },
+]
+
 [[package]]
 name = "babel"
 version = "2.17.0"
@@ -45,6 +53,36 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/0c/37/fb6973edeb700f6e3d6ff222400602ab1830446c25c7b4676d8de93e65b8/backrefs-5.8-py39-none-any.whl", hash = "sha256:a66851e4533fb5b371aa0628e1fee1af05135616b86140c9d787a2ffdf4b8fdc", size = 380336, upload-time = "2025-02-25T16:53:29.858Z" },
 ]
 
+[[package]]
+name = "beautifulsoup4"
+version = "4.14.3"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "soupsieve" },
+    { name = "typing-extensions" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/c3/b0/1c6a16426d389813b48d95e26898aff79abbde42ad353958ad95cc8c9b21/beautifulsoup4-4.14.3.tar.gz", hash = "sha256:6292b1c5186d356bba669ef9f7f051757099565ad9ada5dd630bd9de5fa7fb86", size = 627737, upload-time = "2025-11-30T15:08:26.084Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/1a/39/47f9197bdd44df24d67ac8893641e16f386c984a0619ef2ee4c51fbbc019/beautifulsoup4-4.14.3-py3-none-any.whl", hash = "sha256:0918bfe44902e6ad8d57732ba310582e98da931428d231a5ecb9e7c703a735bb", size = 107721, upload-time = "2025-11-30T15:08:24.087Z" },
+]
+
+[[package]]
+name = "bleach"
+version = "6.3.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "webencodings" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/07/18/3c8523962314be6bf4c8989c79ad9531c825210dd13a8669f6b84336e8bd/bleach-6.3.0.tar.gz", hash = "sha256:6f3b91b1c0a02bb9a78b5a454c92506aa0fdf197e1d5e114d2e00c6f64306d22", size = 203533, upload-time = "2025-10-27T17:57:39.211Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/cd/3a/577b549de0cc09d95f11087ee63c739bba856cd3952697eec4c4bb91350a/bleach-6.3.0-py3-none-any.whl", hash = "sha256:fe10ec77c93ddf3d13a73b035abaac7a9f5e436513864ccdad516693213c65d6", size = 164437, upload-time = "2025-10-27T17:57:37.538Z" },
+]
+
+[package.optional-dependencies]
+css = [
+    { name = "tinycss2" },
+]
+
 [[package]]
 name = "cairocffi"
 version = "1.7.1"
@@ -137,18 +175,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/f1/47/d7145bf2dc04684935d57d67dff9d6d795b2ba2796806bb109864be3a151/cffi-1.17.1-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:72e72408cad3d5419375fc87d289076ee319835bdfa2caad331e377589aebba9", size = 488469, upload-time = "2024-09-04T20:44:41.616Z" },
     { url = "https://files.pythonhosted.org/packages/bf/ee/f94057fa6426481d663b88637a9a10e859e492c73d0384514a17d78ee205/cffi-1.17.1-cp313-cp313-win32.whl", hash = "sha256:e03eab0a8677fa80d646b5ddece1cbeaf556c313dcfac435ba11f107ba117b5d", size = 172475, upload-time = "2024-09-04T20:44:43.733Z" },
     { url = "https://files.pythonhosted.org/packages/7c/fc/6a8cb64e5f0324877d503c854da15d76c1e50eb722e320b15345c4d0c6de/cffi-1.17.1-cp313-cp313-win_amd64.whl", hash = "sha256:f6a16c31041f09ead72d69f583767292f750d24913dadacf5756b966aacb3f1a", size = 182009, upload-time = "2024-09-04T20:44:45.309Z" },
-    { url = "https://files.pythonhosted.org/packages/b9/ea/8bb50596b8ffbc49ddd7a1ad305035daa770202a6b782fc164647c2673ad/cffi-1.17.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:b2ab587605f4ba0bf81dc0cb08a41bd1c0a5906bd59243d56bad7668a6fc6c16", size = 182220, upload-time = "2024-09-04T20:45:01.577Z" },
-    { url = "https://files.pythonhosted.org/packages/ae/11/e77c8cd24f58285a82c23af484cf5b124a376b32644e445960d1a4654c3a/cffi-1.17.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:28b16024becceed8c6dfbc75629e27788d8a3f9030691a1dbf9821a128b22c36", size = 178605, upload-time = "2024-09-04T20:45:03.837Z" },
-    { url = "https://files.pythonhosted.org/packages/ed/65/25a8dc32c53bf5b7b6c2686b42ae2ad58743f7ff644844af7cdb29b49361/cffi-1.17.1-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1d599671f396c4723d016dbddb72fe8e0397082b0a77a4fab8028923bec050e8", size = 424910, upload-time = "2024-09-04T20:45:05.315Z" },
-    { url = "https://files.pythonhosted.org/packages/42/7a/9d086fab7c66bd7c4d0f27c57a1b6b068ced810afc498cc8c49e0088661c/cffi-1.17.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ca74b8dbe6e8e8263c0ffd60277de77dcee6c837a3d0881d8c1ead7268c9e576", size = 447200, upload-time = "2024-09-04T20:45:06.903Z" },
-    { url = "https://files.pythonhosted.org/packages/da/63/1785ced118ce92a993b0ec9e0d0ac8dc3e5dbfbcaa81135be56c69cabbb6/cffi-1.17.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f7f5baafcc48261359e14bcd6d9bff6d4b28d9103847c9e136694cb0501aef87", size = 454565, upload-time = "2024-09-04T20:45:08.975Z" },
-    { url = "https://files.pythonhosted.org/packages/74/06/90b8a44abf3556599cdec107f7290277ae8901a58f75e6fe8f970cd72418/cffi-1.17.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:98e3969bcff97cae1b2def8ba499ea3d6f31ddfdb7635374834cf89a1a08ecf0", size = 435635, upload-time = "2024-09-04T20:45:10.64Z" },
-    { url = "https://files.pythonhosted.org/packages/bd/62/a1f468e5708a70b1d86ead5bab5520861d9c7eacce4a885ded9faa7729c3/cffi-1.17.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cdf5ce3acdfd1661132f2a9c19cac174758dc2352bfe37d98aa7512c6b7178b3", size = 445218, upload-time = "2024-09-04T20:45:12.366Z" },
-    { url = "https://files.pythonhosted.org/packages/5b/95/b34462f3ccb09c2594aa782d90a90b045de4ff1f70148ee79c69d37a0a5a/cffi-1.17.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:9755e4345d1ec879e3849e62222a18c7174d65a6a92d5b346b1863912168b595", size = 460486, upload-time = "2024-09-04T20:45:13.935Z" },
-    { url = "https://files.pythonhosted.org/packages/fc/fc/a1e4bebd8d680febd29cf6c8a40067182b64f00c7d105f8f26b5bc54317b/cffi-1.17.1-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:f1e22e8c4419538cb197e4dd60acc919d7696e5ef98ee4da4e01d3f8cfa4cc5a", size = 437911, upload-time = "2024-09-04T20:45:15.696Z" },
-    { url = "https://files.pythonhosted.org/packages/e6/c3/21cab7a6154b6a5ea330ae80de386e7665254835b9e98ecc1340b3a7de9a/cffi-1.17.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:c03e868a0b3bc35839ba98e74211ed2b05d2119be4e8a0f224fba9384f1fe02e", size = 460632, upload-time = "2024-09-04T20:45:17.284Z" },
-    { url = "https://files.pythonhosted.org/packages/cb/b5/fd9f8b5a84010ca169ee49f4e4ad6f8c05f4e3545b72ee041dbbcb159882/cffi-1.17.1-cp39-cp39-win32.whl", hash = "sha256:e31ae45bc2e29f6b2abd0de1cc3b9d5205aa847cafaecb8af1476a609a2f6eb7", size = 171820, upload-time = "2024-09-04T20:45:18.762Z" },
-    { url = "https://files.pythonhosted.org/packages/8c/52/b08750ce0bce45c143e1b5d7357ee8c55341b52bdef4b0f081af1eb248c2/cffi-1.17.1-cp39-cp39-win_amd64.whl", hash = "sha256:d016c76bdd850f3c626af19b0542c9677ba156e4ee4fccfdd7848803533ef662", size = 181290, upload-time = "2024-09-04T20:45:20.226Z" },
 ]
 
 [[package]]
@@ -209,48 +235,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/78/be/8392efc43487ac051eee6c36d5fbd63032d78f7728cb37aebcc98191f1ff/charset_normalizer-3.4.2-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:4a476b06fbcf359ad25d34a057b7219281286ae2477cc5ff5e3f70a246971148", size = 149166, upload-time = "2025-05-02T08:33:15.458Z" },
     { url = "https://files.pythonhosted.org/packages/44/96/392abd49b094d30b91d9fbda6a69519e95802250b777841cf3bda8fe136c/charset_normalizer-3.4.2-cp313-cp313-win32.whl", hash = "sha256:aaeeb6a479c7667fbe1099af9617c83aaca22182d6cf8c53966491a0f1b7ffb7", size = 98064, upload-time = "2025-05-02T08:33:17.06Z" },
     { url = "https://files.pythonhosted.org/packages/e9/b0/0200da600134e001d91851ddc797809e2fe0ea72de90e09bec5a2fbdaccb/charset_normalizer-3.4.2-cp313-cp313-win_amd64.whl", hash = "sha256:aa6af9e7d59f9c12b33ae4e9450619cf2488e2bbe9b44030905877f0b2324980", size = 105641, upload-time = "2025-05-02T08:33:18.753Z" },
-    { url = "https://files.pythonhosted.org/packages/28/f8/dfb01ff6cc9af38552c69c9027501ff5a5117c4cc18dcd27cb5259fa1888/charset_normalizer-3.4.2-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:005fa3432484527f9732ebd315da8da8001593e2cf46a3d817669f062c3d9ed4", size = 201671, upload-time = "2025-05-02T08:34:12.696Z" },
-    { url = "https://files.pythonhosted.org/packages/32/fb/74e26ee556a9dbfe3bd264289b67be1e6d616329403036f6507bb9f3f29c/charset_normalizer-3.4.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e92fca20c46e9f5e1bb485887d074918b13543b1c2a1185e69bb8d17ab6236a7", size = 144744, upload-time = "2025-05-02T08:34:14.665Z" },
-    { url = "https://files.pythonhosted.org/packages/ad/06/8499ee5aa7addc6f6d72e068691826ff093329fe59891e83b092ae4c851c/charset_normalizer-3.4.2-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:50bf98d5e563b83cc29471fa114366e6806bc06bc7a25fd59641e41445327836", size = 154993, upload-time = "2025-05-02T08:34:17.134Z" },
-    { url = "https://files.pythonhosted.org/packages/f1/a2/5e4c187680728219254ef107a6949c60ee0e9a916a5dadb148c7ae82459c/charset_normalizer-3.4.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:721c76e84fe669be19c5791da68232ca2e05ba5185575086e384352e2c309597", size = 147382, upload-time = "2025-05-02T08:34:19.081Z" },
-    { url = "https://files.pythonhosted.org/packages/4c/fe/56aca740dda674f0cc1ba1418c4d84534be51f639b5f98f538b332dc9a95/charset_normalizer-3.4.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:82d8fd25b7f4675d0c47cf95b594d4e7b158aca33b76aa63d07186e13c0e0ab7", size = 149536, upload-time = "2025-05-02T08:34:21.073Z" },
-    { url = "https://files.pythonhosted.org/packages/53/13/db2e7779f892386b589173dd689c1b1e304621c5792046edd8a978cbf9e0/charset_normalizer-3.4.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b3daeac64d5b371dea99714f08ffc2c208522ec6b06fbc7866a450dd446f5c0f", size = 151349, upload-time = "2025-05-02T08:34:23.193Z" },
-    { url = "https://files.pythonhosted.org/packages/69/35/e52ab9a276186f729bce7a0638585d2982f50402046e4b0faa5d2c3ef2da/charset_normalizer-3.4.2-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:dccab8d5fa1ef9bfba0590ecf4d46df048d18ffe3eec01eeb73a42e0d9e7a8ba", size = 146365, upload-time = "2025-05-02T08:34:25.187Z" },
-    { url = "https://files.pythonhosted.org/packages/a6/d8/af7333f732fc2e7635867d56cb7c349c28c7094910c72267586947561b4b/charset_normalizer-3.4.2-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:aaf27faa992bfee0264dc1f03f4c75e9fcdda66a519db6b957a3f826e285cf12", size = 154499, upload-time = "2025-05-02T08:34:27.359Z" },
-    { url = "https://files.pythonhosted.org/packages/7a/3d/a5b2e48acef264d71e036ff30bcc49e51bde80219bb628ba3e00cf59baac/charset_normalizer-3.4.2-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:eb30abc20df9ab0814b5a2524f23d75dcf83cde762c161917a2b4b7b55b1e518", size = 157735, upload-time = "2025-05-02T08:34:29.798Z" },
-    { url = "https://files.pythonhosted.org/packages/85/d8/23e2c112532a29f3eef374375a8684a4f3b8e784f62b01da931186f43494/charset_normalizer-3.4.2-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:c72fbbe68c6f32f251bdc08b8611c7b3060612236e960ef848e0a517ddbe76c5", size = 154786, upload-time = "2025-05-02T08:34:31.858Z" },
-    { url = "https://files.pythonhosted.org/packages/c7/57/93e0169f08ecc20fe82d12254a200dfaceddc1c12a4077bf454ecc597e33/charset_normalizer-3.4.2-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:982bb1e8b4ffda883b3d0a521e23abcd6fd17418f6d2c4118d257a10199c0ce3", size = 150203, upload-time = "2025-05-02T08:34:33.88Z" },
-    { url = "https://files.pythonhosted.org/packages/2c/9d/9bf2b005138e7e060d7ebdec7503d0ef3240141587651f4b445bdf7286c2/charset_normalizer-3.4.2-cp39-cp39-win32.whl", hash = "sha256:43e0933a0eff183ee85833f341ec567c0980dae57c464d8a508e1b2ceb336471", size = 98436, upload-time = "2025-05-02T08:34:35.907Z" },
-    { url = "https://files.pythonhosted.org/packages/6d/24/5849d46cf4311bbf21b424c443b09b459f5b436b1558c04e45dbb7cc478b/charset_normalizer-3.4.2-cp39-cp39-win_amd64.whl", hash = "sha256:d11b54acf878eef558599658b0ffca78138c8c3655cf4f3a4a673c437e67732e", size = 105772, upload-time = "2025-05-02T08:34:37.935Z" },
     { url = "https://files.pythonhosted.org/packages/20/94/c5790835a017658cbfabd07f3bfb549140c3ac458cfc196323996b10095a/charset_normalizer-3.4.2-py3-none-any.whl", hash = "sha256:7f56930ab0abd1c45cd15be65cc741c28b1c9a34876ce8c17a2fa107810c0af0", size = 52626, upload-time = "2025-05-02T08:34:40.053Z" },
 ]
 
-[[package]]
-name = "click"
-version = "8.1.8"
-source = { registry = "https://pypi.org/simple" }
-resolution-markers = [
-    "python_full_version < '3.10'",
-]
-dependencies = [
-    { name = "colorama", marker = "python_full_version < '3.10' and sys_platform == 'win32'" },
-]
-sdist = { url = "https://files.pythonhosted.org/packages/b9/2e/0090cbf739cee7d23781ad4b89a9894a41538e4fcf4c31dcdd705b78eb8b/click-8.1.8.tar.gz", hash = "sha256:ed53c9d8990d83c2a27deae68e4ee337473f6330c040a31d4225c9574d16096a", size = 226593, upload-time = "2024-12-21T18:38:44.339Z" }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/7e/d4/7ebdbd03970677812aac39c869717059dbb71a4cfc033ca6e5221787892c/click-8.1.8-py3-none-any.whl", hash = "sha256:63c132bbbed01578a06712a2d1f497bb62d9c1c0d329b7903a866228027263b2", size = 98188, upload-time = "2024-12-21T18:38:41.666Z" },
-]
-
 [[package]]
 name = "click"
 version = "8.2.0"
 source = { registry = "https://pypi.org/simple" }
-resolution-markers = [
-    "python_full_version >= '3.12'",
-    "python_full_version == '3.11.*'",
-    "python_full_version == '3.10.*'",
-]
 dependencies = [
-    { name = "colorama", marker = "python_full_version >= '3.10' and sys_platform == 'win32'" },
+    { name = "colorama", marker = "sys_platform == 'win32'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/cd/0f/62ca20172d4f87d93cf89665fbaedcd560ac48b465bd1d92bfc7ea6b0a41/click-8.2.0.tar.gz", hash = "sha256:f5452aeddd9988eefa20f90f05ab66f17fce1ee2a36907fd30b05bbb5953814d", size = 235857, upload-time = "2025-05-10T22:21:03.111Z" }
 wheels = [
@@ -262,8 +255,7 @@ name = "codecov-cli"
 version = "10.4.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "click", version = "8.1.8", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.10'" },
-    { name = "click", version = "8.2.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.10'" },
+    { name = "click" },
     { name = "httpx" },
     { name = "ijson" },
     { name = "pyyaml" },
@@ -306,16 +298,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/98/8f/47f656b6d166c212c33494a36e96ce66c866ef43ca3ed862c329a0c91363/codecov_cli-10.4.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:116eb8579d3ddb14164f19dd19f49c82aa51af5383b902c1fa803a16640f1b3c", size = 1291615, upload-time = "2025-04-08T03:04:28.608Z" },
     { url = "https://files.pythonhosted.org/packages/99/26/008f7b14ca7f3295539a1a767c9d6aaef54df1f1b89faaeebacaf0134f22/codecov_cli-10.4.0-cp312-cp312-win32.whl", hash = "sha256:c580a023367c75074818893e8fcd2346cc96adbe6f207dca1e55c86e0c7ba245", size = 210514, upload-time = "2025-04-08T03:04:30.491Z" },
     { url = "https://files.pythonhosted.org/packages/76/25/162d1a595822b198b4f7de2c7d232a861f1ce67b170aee04aa5be5205b11/codecov_cli-10.4.0-cp312-cp312-win_amd64.whl", hash = "sha256:c00e9f54c9b88060ac2edeea271efb1413d2b3d39b0a2368dfeb2d62ca98afa9", size = 211735, upload-time = "2025-04-08T03:04:31.971Z" },
-    { url = "https://files.pythonhosted.org/packages/36/81/ea11b177c4813d994ea71e60fd81e51a2f6e59f5f79bea78273fcd3c2f4b/codecov_cli-10.4.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:6c7912990ddd3e3bc05fe18f3c6b6d74f1b582e0d372cf8ba03b912b039a3442", size = 216761, upload-time = "2025-04-08T03:04:33.444Z" },
-    { url = "https://files.pythonhosted.org/packages/23/d5/6c2c531b469fae5d4822e34298e72e1396674cb1ea07ef978431644323f9/codecov_cli-10.4.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:99c2b9b0e0e0e633a1b8a94bd110ef0e9ce0f7f01d278448ed98d16627f2eeff", size = 220731, upload-time = "2025-04-08T03:04:35.075Z" },
-    { url = "https://files.pythonhosted.org/packages/77/62/94e9624c5b48bfeba1922bc8631b754f0514218226d31e2ba0561432afda/codecov_cli-10.4.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5c6b1995d304ef17443b8c9b5fc909aad30c27a4b19bcfd93816e3434f5f6941", size = 315324, upload-time = "2025-04-08T03:04:36.854Z" },
-    { url = "https://files.pythonhosted.org/packages/b3/49/b656f91222bfe26d5d9cd183af58c877054153ab337b95dc8708f6a987d2/codecov_cli-10.4.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:48c271d0c2bc1a4640afc023697ecddf763e7d503f8c4ebc42fed86987aa8364", size = 307502, upload-time = "2025-04-08T03:04:38.974Z" },
-    { url = "https://files.pythonhosted.org/packages/d0/35/99341ca106e26429a163954f484ead197eeb61ddbb0d3a9e09fa04b1862f/codecov_cli-10.4.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1fc99f864976e95d7606337a38c6ead684d0a18affda5aea2744b1f9c62346f2", size = 309460, upload-time = "2025-04-08T03:04:40.569Z" },
-    { url = "https://files.pythonhosted.org/packages/95/ff/4b7ffe4b4fa5f9255d41ef1a5ac7a8f2d6634ca2a4957e4f82427657db91/codecov_cli-10.4.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:18a91d391c383da593957b8b26a90b6b31c3ef8516f3f4f9088df23cd483de67", size = 1253377, upload-time = "2025-04-08T03:04:43.113Z" },
-    { url = "https://files.pythonhosted.org/packages/35/cb/5cda927d53525414cf94ef55ff442c538664cb5ff0c8e896130dd49704bf/codecov_cli-10.4.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:7a00e9127799570f2a729846d42a336901480a8a43e13030ec6599e5f7ef9b47", size = 1391371, upload-time = "2025-04-08T03:04:46.268Z" },
-    { url = "https://files.pythonhosted.org/packages/e3/2b/c761a7df1e4097b4f77422192eb0557f1cc9cd9bf3e4b1aade4d3ca39587/codecov_cli-10.4.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:28259ae558fab7f1c4e380597a4f873f377b7c5afcea72e39be3e97092ae6315", size = 1291324, upload-time = "2025-04-08T03:04:49.019Z" },
-    { url = "https://files.pythonhosted.org/packages/9d/34/6471365b7a6389db758891c299c650c391b2736caefc3929832df532af68/codecov_cli-10.4.0-cp39-cp39-win32.whl", hash = "sha256:508098e5a7ef3b391f07a3c2794bc9d605bcd092cb664464572965e02e1ea920", size = 210512, upload-time = "2025-04-08T03:04:51.117Z" },
-    { url = "https://files.pythonhosted.org/packages/b6/6c/9ade1c1cd4d44d6f1fe86ce56b0243c4c6bd6ac5b512a71bd6107bec442f/codecov_cli-10.4.0-cp39-cp39-win_amd64.whl", hash = "sha256:fa9a623c6e381e064d527b194819774325b9d0c400d2898f6b8f1a7216d81be0", size = 211733, upload-time = "2025-04-08T03:04:52.963Z" },
 ]
 
 [[package]]
@@ -327,95 +309,12 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/d1/d6/3965ed04c63042e047cb6a3e6ed1a63a35087b6a609aa3a15ed8ac56c221/colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6", size = 25335, upload-time = "2022-10-25T02:36:20.889Z" },
 ]
 
-[[package]]
-name = "contourpy"
-version = "1.3.0"
-source = { registry = "https://pypi.org/simple" }
-resolution-markers = [
-    "python_full_version < '3.10'",
-]
-dependencies = [
-    { name = "numpy", version = "2.0.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.10'" },
-]
-sdist = { url = "https://files.pythonhosted.org/packages/f5/f6/31a8f28b4a2a4fa0e01085e542f3081ab0588eff8e589d39d775172c9792/contourpy-1.3.0.tar.gz", hash = "sha256:7ffa0db17717a8ffb127efd0c95a4362d996b892c2904db72428d5b52e1938a4", size = 13464370, upload-time = "2024-08-27T21:00:03.328Z" }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/6c/e0/be8dcc796cfdd96708933e0e2da99ba4bb8f9b2caa9d560a50f3f09a65f3/contourpy-1.3.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:880ea32e5c774634f9fcd46504bf9f080a41ad855f4fef54f5380f5133d343c7", size = 265366, upload-time = "2024-08-27T20:50:09.947Z" },
-    { url = "https://files.pythonhosted.org/packages/50/d6/c953b400219443535d412fcbbc42e7a5e823291236bc0bb88936e3cc9317/contourpy-1.3.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:76c905ef940a4474a6289c71d53122a4f77766eef23c03cd57016ce19d0f7b42", size = 249226, upload-time = "2024-08-27T20:50:16.1Z" },
-    { url = "https://files.pythonhosted.org/packages/6f/b4/6fffdf213ffccc28483c524b9dad46bb78332851133b36ad354b856ddc7c/contourpy-1.3.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:92f8557cbb07415a4d6fa191f20fd9d2d9eb9c0b61d1b2f52a8926e43c6e9af7", size = 308460, upload-time = "2024-08-27T20:50:22.536Z" },
-    { url = "https://files.pythonhosted.org/packages/cf/6c/118fc917b4050f0afe07179a6dcbe4f3f4ec69b94f36c9e128c4af480fb8/contourpy-1.3.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:36f965570cff02b874773c49bfe85562b47030805d7d8360748f3eca570f4cab", size = 347623, upload-time = "2024-08-27T20:50:28.806Z" },
-    { url = "https://files.pythonhosted.org/packages/f9/a4/30ff110a81bfe3abf7b9673284d21ddce8cc1278f6f77393c91199da4c90/contourpy-1.3.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:cacd81e2d4b6f89c9f8a5b69b86490152ff39afc58a95af002a398273e5ce589", size = 317761, upload-time = "2024-08-27T20:50:35.126Z" },
-    { url = "https://files.pythonhosted.org/packages/99/e6/d11966962b1aa515f5586d3907ad019f4b812c04e4546cc19ebf62b5178e/contourpy-1.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:69375194457ad0fad3a839b9e29aa0b0ed53bb54db1bfb6c3ae43d111c31ce41", size = 322015, upload-time = "2024-08-27T20:50:40.318Z" },
-    { url = "https://files.pythonhosted.org/packages/4d/e3/182383743751d22b7b59c3c753277b6aee3637049197624f333dac5b4c80/contourpy-1.3.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:7a52040312b1a858b5e31ef28c2e865376a386c60c0e248370bbea2d3f3b760d", size = 1262672, upload-time = "2024-08-27T20:50:55.643Z" },
-    { url = "https://files.pythonhosted.org/packages/78/53/974400c815b2e605f252c8fb9297e2204347d1755a5374354ee77b1ea259/contourpy-1.3.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:3faeb2998e4fcb256542e8a926d08da08977f7f5e62cf733f3c211c2a5586223", size = 1321688, upload-time = "2024-08-27T20:51:11.293Z" },
-    { url = "https://files.pythonhosted.org/packages/52/29/99f849faed5593b2926a68a31882af98afbeac39c7fdf7de491d9c85ec6a/contourpy-1.3.0-cp310-cp310-win32.whl", hash = "sha256:36e0cff201bcb17a0a8ecc7f454fe078437fa6bda730e695a92f2d9932bd507f", size = 171145, upload-time = "2024-08-27T20:51:15.2Z" },
-    { url = "https://files.pythonhosted.org/packages/a9/97/3f89bba79ff6ff2b07a3cbc40aa693c360d5efa90d66e914f0ff03b95ec7/contourpy-1.3.0-cp310-cp310-win_amd64.whl", hash = "sha256:87ddffef1dbe5e669b5c2440b643d3fdd8622a348fe1983fad7a0f0ccb1cd67b", size = 216019, upload-time = "2024-08-27T20:51:19.365Z" },
-    { url = "https://files.pythonhosted.org/packages/b3/1f/9375917786cb39270b0ee6634536c0e22abf225825602688990d8f5c6c19/contourpy-1.3.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:0fa4c02abe6c446ba70d96ece336e621efa4aecae43eaa9b030ae5fb92b309ad", size = 266356, upload-time = "2024-08-27T20:51:24.146Z" },
-    { url = "https://files.pythonhosted.org/packages/05/46/9256dd162ea52790c127cb58cfc3b9e3413a6e3478917d1f811d420772ec/contourpy-1.3.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:834e0cfe17ba12f79963861e0f908556b2cedd52e1f75e6578801febcc6a9f49", size = 250915, upload-time = "2024-08-27T20:51:28.683Z" },
-    { url = "https://files.pythonhosted.org/packages/e1/5d/3056c167fa4486900dfbd7e26a2fdc2338dc58eee36d490a0ed3ddda5ded/contourpy-1.3.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dbc4c3217eee163fa3984fd1567632b48d6dfd29216da3ded3d7b844a8014a66", size = 310443, upload-time = "2024-08-27T20:51:33.675Z" },
-    { url = "https://files.pythonhosted.org/packages/ca/c2/1a612e475492e07f11c8e267ea5ec1ce0d89971be496c195e27afa97e14a/contourpy-1.3.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4865cd1d419e0c7a7bf6de1777b185eebdc51470800a9f42b9e9decf17762081", size = 348548, upload-time = "2024-08-27T20:51:39.322Z" },
-    { url = "https://files.pythonhosted.org/packages/45/cf/2c2fc6bb5874158277b4faf136847f0689e1b1a1f640a36d76d52e78907c/contourpy-1.3.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:303c252947ab4b14c08afeb52375b26781ccd6a5ccd81abcdfc1fafd14cf93c1", size = 319118, upload-time = "2024-08-27T20:51:44.717Z" },
-    { url = "https://files.pythonhosted.org/packages/03/33/003065374f38894cdf1040cef474ad0546368eea7e3a51d48b8a423961f8/contourpy-1.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:637f674226be46f6ba372fd29d9523dd977a291f66ab2a74fbeb5530bb3f445d", size = 323162, upload-time = "2024-08-27T20:51:49.683Z" },
-    { url = "https://files.pythonhosted.org/packages/42/80/e637326e85e4105a802e42959f56cff2cd39a6b5ef68d5d9aee3ea5f0e4c/contourpy-1.3.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:76a896b2f195b57db25d6b44e7e03f221d32fe318d03ede41f8b4d9ba1bff53c", size = 1265396, upload-time = "2024-08-27T20:52:04.926Z" },
-    { url = "https://files.pythonhosted.org/packages/7c/3b/8cbd6416ca1bbc0202b50f9c13b2e0b922b64be888f9d9ee88e6cfabfb51/contourpy-1.3.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:e1fd23e9d01591bab45546c089ae89d926917a66dceb3abcf01f6105d927e2cb", size = 1324297, upload-time = "2024-08-27T20:52:21.843Z" },
-    { url = "https://files.pythonhosted.org/packages/4d/2c/021a7afaa52fe891f25535506cc861c30c3c4e5a1c1ce94215e04b293e72/contourpy-1.3.0-cp311-cp311-win32.whl", hash = "sha256:d402880b84df3bec6eab53cd0cf802cae6a2ef9537e70cf75e91618a3801c20c", size = 171808, upload-time = "2024-08-27T20:52:25.163Z" },
-    { url = "https://files.pythonhosted.org/packages/8d/2f/804f02ff30a7fae21f98198828d0857439ec4c91a96e20cf2d6c49372966/contourpy-1.3.0-cp311-cp311-win_amd64.whl", hash = "sha256:6cb6cc968059db9c62cb35fbf70248f40994dfcd7aa10444bbf8b3faeb7c2d67", size = 217181, upload-time = "2024-08-27T20:52:29.13Z" },
-    { url = "https://files.pythonhosted.org/packages/c9/92/8e0bbfe6b70c0e2d3d81272b58c98ac69ff1a4329f18c73bd64824d8b12e/contourpy-1.3.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:570ef7cf892f0afbe5b2ee410c507ce12e15a5fa91017a0009f79f7d93a1268f", size = 267838, upload-time = "2024-08-27T20:52:33.911Z" },
-    { url = "https://files.pythonhosted.org/packages/e3/04/33351c5d5108460a8ce6d512307690b023f0cfcad5899499f5c83b9d63b1/contourpy-1.3.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:da84c537cb8b97d153e9fb208c221c45605f73147bd4cadd23bdae915042aad6", size = 251549, upload-time = "2024-08-27T20:52:39.179Z" },
-    { url = "https://files.pythonhosted.org/packages/51/3d/aa0fe6ae67e3ef9f178389e4caaaa68daf2f9024092aa3c6032e3d174670/contourpy-1.3.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0be4d8425bfa755e0fd76ee1e019636ccc7c29f77a7c86b4328a9eb6a26d0639", size = 303177, upload-time = "2024-08-27T20:52:44.789Z" },
-    { url = "https://files.pythonhosted.org/packages/56/c3/c85a7e3e0cab635575d3b657f9535443a6f5d20fac1a1911eaa4bbe1aceb/contourpy-1.3.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9c0da700bf58f6e0b65312d0a5e695179a71d0163957fa381bb3c1f72972537c", size = 341735, upload-time = "2024-08-27T20:52:51.05Z" },
-    { url = "https://files.pythonhosted.org/packages/dd/8d/20f7a211a7be966a53f474bc90b1a8202e9844b3f1ef85f3ae45a77151ee/contourpy-1.3.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:eb8b141bb00fa977d9122636b16aa67d37fd40a3d8b52dd837e536d64b9a4d06", size = 314679, upload-time = "2024-08-27T20:52:58.473Z" },
-    { url = "https://files.pythonhosted.org/packages/6e/be/524e377567defac0e21a46e2a529652d165fed130a0d8a863219303cee18/contourpy-1.3.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3634b5385c6716c258d0419c46d05c8aa7dc8cb70326c9a4fb66b69ad2b52e09", size = 320549, upload-time = "2024-08-27T20:53:06.593Z" },
-    { url = "https://files.pythonhosted.org/packages/0f/96/fdb2552a172942d888915f3a6663812e9bc3d359d53dafd4289a0fb462f0/contourpy-1.3.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:0dce35502151b6bd35027ac39ba6e5a44be13a68f55735c3612c568cac3805fd", size = 1263068, upload-time = "2024-08-27T20:53:23.442Z" },
-    { url = "https://files.pythonhosted.org/packages/2a/25/632eab595e3140adfa92f1322bf8915f68c932bac468e89eae9974cf1c00/contourpy-1.3.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:aea348f053c645100612b333adc5983d87be69acdc6d77d3169c090d3b01dc35", size = 1322833, upload-time = "2024-08-27T20:53:39.243Z" },
-    { url = "https://files.pythonhosted.org/packages/73/e3/69738782e315a1d26d29d71a550dbbe3eb6c653b028b150f70c1a5f4f229/contourpy-1.3.0-cp312-cp312-win32.whl", hash = "sha256:90f73a5116ad1ba7174341ef3ea5c3150ddf20b024b98fb0c3b29034752c8aeb", size = 172681, upload-time = "2024-08-27T20:53:43.05Z" },
-    { url = "https://files.pythonhosted.org/packages/0c/89/9830ba00d88e43d15e53d64931e66b8792b46eb25e2050a88fec4a0df3d5/contourpy-1.3.0-cp312-cp312-win_amd64.whl", hash = "sha256:b11b39aea6be6764f84360fce6c82211a9db32a7c7de8fa6dd5397cf1d079c3b", size = 218283, upload-time = "2024-08-27T20:53:47.232Z" },
-    { url = "https://files.pythonhosted.org/packages/53/a1/d20415febfb2267af2d7f06338e82171824d08614084714fb2c1dac9901f/contourpy-1.3.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:3e1c7fa44aaae40a2247e2e8e0627f4bea3dd257014764aa644f319a5f8600e3", size = 267879, upload-time = "2024-08-27T20:53:51.597Z" },
-    { url = "https://files.pythonhosted.org/packages/aa/45/5a28a3570ff6218d8bdfc291a272a20d2648104815f01f0177d103d985e1/contourpy-1.3.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:364174c2a76057feef647c802652f00953b575723062560498dc7930fc9b1cb7", size = 251573, upload-time = "2024-08-27T20:53:55.659Z" },
-    { url = "https://files.pythonhosted.org/packages/39/1c/d3f51540108e3affa84f095c8b04f0aa833bb797bc8baa218a952a98117d/contourpy-1.3.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:32b238b3b3b649e09ce9aaf51f0c261d38644bdfa35cbaf7b263457850957a84", size = 303184, upload-time = "2024-08-27T20:54:00.225Z" },
-    { url = "https://files.pythonhosted.org/packages/00/56/1348a44fb6c3a558c1a3a0cd23d329d604c99d81bf5a4b58c6b71aab328f/contourpy-1.3.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d51fca85f9f7ad0b65b4b9fe800406d0d77017d7270d31ec3fb1cc07358fdea0", size = 340262, upload-time = "2024-08-27T20:54:05.234Z" },
-    { url = "https://files.pythonhosted.org/packages/2b/23/00d665ba67e1bb666152131da07e0f24c95c3632d7722caa97fb61470eca/contourpy-1.3.0-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:732896af21716b29ab3e988d4ce14bc5133733b85956316fb0c56355f398099b", size = 313806, upload-time = "2024-08-27T20:54:09.889Z" },
-    { url = "https://files.pythonhosted.org/packages/5a/42/3cf40f7040bb8362aea19af9a5fb7b32ce420f645dd1590edcee2c657cd5/contourpy-1.3.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d73f659398a0904e125280836ae6f88ba9b178b2fed6884f3b1f95b989d2c8da", size = 319710, upload-time = "2024-08-27T20:54:14.536Z" },
-    { url = "https://files.pythonhosted.org/packages/05/32/f3bfa3fc083b25e1a7ae09197f897476ee68e7386e10404bdf9aac7391f0/contourpy-1.3.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:c6c7c2408b7048082932cf4e641fa3b8ca848259212f51c8c59c45aa7ac18f14", size = 1264107, upload-time = "2024-08-27T20:54:29.735Z" },
-    { url = "https://files.pythonhosted.org/packages/1c/1e/1019d34473a736664f2439542b890b2dc4c6245f5c0d8cdfc0ccc2cab80c/contourpy-1.3.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:f317576606de89da6b7e0861cf6061f6146ead3528acabff9236458a6ba467f8", size = 1322458, upload-time = "2024-08-27T20:54:45.507Z" },
-    { url = "https://files.pythonhosted.org/packages/22/85/4f8bfd83972cf8909a4d36d16b177f7b8bdd942178ea4bf877d4a380a91c/contourpy-1.3.0-cp313-cp313-win32.whl", hash = "sha256:31cd3a85dbdf1fc002280c65caa7e2b5f65e4a973fcdf70dd2fdcb9868069294", size = 172643, upload-time = "2024-08-27T20:55:52.754Z" },
-    { url = "https://files.pythonhosted.org/packages/cc/4a/fb3c83c1baba64ba90443626c228ca14f19a87c51975d3b1de308dd2cf08/contourpy-1.3.0-cp313-cp313-win_amd64.whl", hash = "sha256:4553c421929ec95fb07b3aaca0fae668b2eb5a5203d1217ca7c34c063c53d087", size = 218301, upload-time = "2024-08-27T20:55:56.509Z" },
-    { url = "https://files.pythonhosted.org/packages/76/65/702f4064f397821fea0cb493f7d3bc95a5d703e20954dce7d6d39bacf378/contourpy-1.3.0-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:345af746d7766821d05d72cb8f3845dfd08dd137101a2cb9b24de277d716def8", size = 278972, upload-time = "2024-08-27T20:54:50.347Z" },
-    { url = "https://files.pythonhosted.org/packages/80/85/21f5bba56dba75c10a45ec00ad3b8190dbac7fd9a8a8c46c6116c933e9cf/contourpy-1.3.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:3bb3808858a9dc68f6f03d319acd5f1b8a337e6cdda197f02f4b8ff67ad2057b", size = 263375, upload-time = "2024-08-27T20:54:54.909Z" },
-    { url = "https://files.pythonhosted.org/packages/0a/64/084c86ab71d43149f91ab3a4054ccf18565f0a8af36abfa92b1467813ed6/contourpy-1.3.0-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:420d39daa61aab1221567b42eecb01112908b2cab7f1b4106a52caaec8d36973", size = 307188, upload-time = "2024-08-27T20:55:00.184Z" },
-    { url = "https://files.pythonhosted.org/packages/3d/ff/d61a4c288dc42da0084b8d9dc2aa219a850767165d7d9a9c364ff530b509/contourpy-1.3.0-cp313-cp313t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4d63ee447261e963af02642ffcb864e5a2ee4cbfd78080657a9880b8b1868e18", size = 345644, upload-time = "2024-08-27T20:55:05.673Z" },
-    { url = "https://files.pythonhosted.org/packages/ca/aa/00d2313d35ec03f188e8f0786c2fc61f589306e02fdc158233697546fd58/contourpy-1.3.0-cp313-cp313t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:167d6c890815e1dac9536dca00828b445d5d0df4d6a8c6adb4a7ec3166812fa8", size = 317141, upload-time = "2024-08-27T20:55:11.047Z" },
-    { url = "https://files.pythonhosted.org/packages/8d/6a/b5242c8cb32d87f6abf4f5e3044ca397cb1a76712e3fa2424772e3ff495f/contourpy-1.3.0-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:710a26b3dc80c0e4febf04555de66f5fd17e9cf7170a7b08000601a10570bda6", size = 323469, upload-time = "2024-08-27T20:55:15.914Z" },
-    { url = "https://files.pythonhosted.org/packages/6f/a6/73e929d43028a9079aca4bde107494864d54f0d72d9db508a51ff0878593/contourpy-1.3.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:75ee7cb1a14c617f34a51d11fa7524173e56551646828353c4af859c56b766e2", size = 1260894, upload-time = "2024-08-27T20:55:31.553Z" },
-    { url = "https://files.pythonhosted.org/packages/2b/1e/1e726ba66eddf21c940821df8cf1a7d15cb165f0682d62161eaa5e93dae1/contourpy-1.3.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:33c92cdae89ec5135d036e7218e69b0bb2851206077251f04a6c4e0e21f03927", size = 1314829, upload-time = "2024-08-27T20:55:47.837Z" },
-    { url = "https://files.pythonhosted.org/packages/b3/e3/b9f72758adb6ef7397327ceb8b9c39c75711affb220e4f53c745ea1d5a9a/contourpy-1.3.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:a11077e395f67ffc2c44ec2418cfebed032cd6da3022a94fc227b6faf8e2acb8", size = 265518, upload-time = "2024-08-27T20:56:01.333Z" },
-    { url = "https://files.pythonhosted.org/packages/ec/22/19f5b948367ab5260fb41d842c7a78dae645603881ea6bc39738bcfcabf6/contourpy-1.3.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:e8134301d7e204c88ed7ab50028ba06c683000040ede1d617298611f9dc6240c", size = 249350, upload-time = "2024-08-27T20:56:05.432Z" },
-    { url = "https://files.pythonhosted.org/packages/26/76/0c7d43263dd00ae21a91a24381b7e813d286a3294d95d179ef3a7b9fb1d7/contourpy-1.3.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e12968fdfd5bb45ffdf6192a590bd8ddd3ba9e58360b29683c6bb71a7b41edca", size = 309167, upload-time = "2024-08-27T20:56:10.034Z" },
-    { url = "https://files.pythonhosted.org/packages/96/3b/cadff6773e89f2a5a492c1a8068e21d3fccaf1a1c1df7d65e7c8e3ef60ba/contourpy-1.3.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:fd2a0fc506eccaaa7595b7e1418951f213cf8255be2600f1ea1b61e46a60c55f", size = 348279, upload-time = "2024-08-27T20:56:15.41Z" },
-    { url = "https://files.pythonhosted.org/packages/e1/86/158cc43aa549d2081a955ab11c6bdccc7a22caacc2af93186d26f5f48746/contourpy-1.3.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4cfb5c62ce023dfc410d6059c936dcf96442ba40814aefbfa575425a3a7f19dc", size = 318519, upload-time = "2024-08-27T20:56:21.813Z" },
-    { url = "https://files.pythonhosted.org/packages/05/11/57335544a3027e9b96a05948c32e566328e3a2f84b7b99a325b7a06d2b06/contourpy-1.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:68a32389b06b82c2fdd68276148d7b9275b5f5cf13e5417e4252f6d1a34f72a2", size = 321922, upload-time = "2024-08-27T20:56:26.983Z" },
-    { url = "https://files.pythonhosted.org/packages/0b/e3/02114f96543f4a1b694333b92a6dcd4f8eebbefcc3a5f3bbb1316634178f/contourpy-1.3.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:94e848a6b83da10898cbf1311a815f770acc9b6a3f2d646f330d57eb4e87592e", size = 1258017, upload-time = "2024-08-27T20:56:42.246Z" },
-    { url = "https://files.pythonhosted.org/packages/f3/3b/bfe4c81c6d5881c1c643dde6620be0b42bf8aab155976dd644595cfab95c/contourpy-1.3.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:d78ab28a03c854a873787a0a42254a0ccb3cb133c672f645c9f9c8f3ae9d0800", size = 1316773, upload-time = "2024-08-27T20:56:58.58Z" },
-    { url = "https://files.pythonhosted.org/packages/f1/17/c52d2970784383cafb0bd918b6fb036d98d96bbf0bc1befb5d1e31a07a70/contourpy-1.3.0-cp39-cp39-win32.whl", hash = "sha256:81cb5ed4952aae6014bc9d0421dec7c5835c9c8c31cdf51910b708f548cf58e5", size = 171353, upload-time = "2024-08-27T20:57:02.718Z" },
-    { url = "https://files.pythonhosted.org/packages/53/23/db9f69676308e094d3c45f20cc52e12d10d64f027541c995d89c11ad5c75/contourpy-1.3.0-cp39-cp39-win_amd64.whl", hash = "sha256:14e262f67bd7e6eb6880bc564dcda30b15e351a594657e55b7eec94b6ef72843", size = 211817, upload-time = "2024-08-27T20:57:06.328Z" },
-    { url = "https://files.pythonhosted.org/packages/d1/09/60e486dc2b64c94ed33e58dcfb6f808192c03dfc5574c016218b9b7680dc/contourpy-1.3.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:fe41b41505a5a33aeaed2a613dccaeaa74e0e3ead6dd6fd3a118fb471644fd6c", size = 261886, upload-time = "2024-08-27T20:57:10.863Z" },
-    { url = "https://files.pythonhosted.org/packages/19/20/b57f9f7174fcd439a7789fb47d764974ab646fa34d1790551de386457a8e/contourpy-1.3.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:eca7e17a65f72a5133bdbec9ecf22401c62bcf4821361ef7811faee695799779", size = 311008, upload-time = "2024-08-27T20:57:15.588Z" },
-    { url = "https://files.pythonhosted.org/packages/74/fc/5040d42623a1845d4f17a418e590fd7a79ae8cb2bad2b2f83de63c3bdca4/contourpy-1.3.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:1ec4dc6bf570f5b22ed0d7efba0dfa9c5b9e0431aeea7581aa217542d9e809a4", size = 215690, upload-time = "2024-08-27T20:57:19.321Z" },
-    { url = "https://files.pythonhosted.org/packages/2b/24/dc3dcd77ac7460ab7e9d2b01a618cb31406902e50e605a8d6091f0a8f7cc/contourpy-1.3.0-pp39-pypy39_pp73-macosx_10_15_x86_64.whl", hash = "sha256:00ccd0dbaad6d804ab259820fa7cb0b8036bda0686ef844d24125d8287178ce0", size = 261894, upload-time = "2024-08-27T20:57:23.873Z" },
-    { url = "https://files.pythonhosted.org/packages/b1/db/531642a01cfec39d1682e46b5457b07cf805e3c3c584ec27e2a6223f8f6c/contourpy-1.3.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8ca947601224119117f7c19c9cdf6b3ab54c5726ef1d906aa4a69dfb6dd58102", size = 311099, upload-time = "2024-08-27T20:57:28.58Z" },
-    { url = "https://files.pythonhosted.org/packages/38/1e/94bda024d629f254143a134eead69e21c836429a2a6ce82209a00ddcb79a/contourpy-1.3.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:c6ec93afeb848a0845a18989da3beca3eec2c0f852322efe21af1931147d12cb", size = 215838, upload-time = "2024-08-27T20:57:32.913Z" },
-]
-
 [[package]]
 name = "contourpy"
 version = "1.3.2"
 source = { registry = "https://pypi.org/simple" }
-resolution-markers = [
-    "python_full_version >= '3.12'",
-    "python_full_version == '3.11.*'",
-    "python_full_version == '3.10.*'",
-]
 dependencies = [
-    { name = "numpy", version = "2.2.5", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.10'" },
+    { name = "numpy" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/66/54/eb9bfc647b19f2009dd5c7f5ec51c4e6ca831725f1aea7a993034f483147/contourpy-1.3.2.tar.gz", hash = "sha256:b6945942715a034c671b7fc54f9588126b0b8bf23db2696e3ca8328f3ff0ab54", size = 13466130, upload-time = "2025-04-15T17:47:53.79Z" }
 wheels = [
@@ -533,16 +432,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/58/e9/8fb8e0ff6bef5e170ee19d59ca694f9001b2ec085dc99b4f65c128bb3f9a/coverage-7.8.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:f3c38e4e5ccbdc9198aecc766cedbb134b2d89bf64533973678dfcf07effd883", size = 255116, upload-time = "2025-03-30T20:36:18.033Z" },
     { url = "https://files.pythonhosted.org/packages/56/b0/d968ecdbe6fe0a863de7169bbe9e8a476868959f3af24981f6a10d2b6924/coverage-7.8.0-cp313-cp313t-win32.whl", hash = "sha256:379fe315e206b14e21db5240f89dc0774bdd3e25c3c58c2c733c99eca96f1ada", size = 214909, upload-time = "2025-03-30T20:36:19.644Z" },
     { url = "https://files.pythonhosted.org/packages/87/e9/d6b7ef9fecf42dfb418d93544af47c940aa83056c49e6021a564aafbc91f/coverage-7.8.0-cp313-cp313t-win_amd64.whl", hash = "sha256:2e4b6b87bb0c846a9315e3ab4be2d52fac905100565f4b92f02c445c8799e257", size = 216068, upload-time = "2025-03-30T20:36:21.282Z" },
-    { url = "https://files.pythonhosted.org/packages/60/0c/5da94be095239814bf2730a28cffbc48d6df4304e044f80d39e1ae581997/coverage-7.8.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:fa260de59dfb143af06dcf30c2be0b200bed2a73737a8a59248fcb9fa601ef0f", size = 211377, upload-time = "2025-03-30T20:36:23.298Z" },
-    { url = "https://files.pythonhosted.org/packages/d5/cb/b9e93ebf193a0bb89dbcd4f73d7b0e6ecb7c1b6c016671950e25f041835e/coverage-7.8.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:96121edfa4c2dfdda409877ea8608dd01de816a4dc4a0523356067b305e4e17a", size = 211803, upload-time = "2025-03-30T20:36:25.74Z" },
-    { url = "https://files.pythonhosted.org/packages/78/1a/cdbfe9e1bb14d3afcaf6bb6e1b9ba76c72666e329cd06865bbd241efd652/coverage-7.8.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6b8af63b9afa1031c0ef05b217faa598f3069148eeee6bb24b79da9012423b82", size = 240561, upload-time = "2025-03-30T20:36:27.548Z" },
-    { url = "https://files.pythonhosted.org/packages/59/04/57f1223f26ac018d7ce791bfa65b0c29282de3e041c1cd3ed430cfeac5a5/coverage-7.8.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:89b1f4af0d4afe495cd4787a68e00f30f1d15939f550e869de90a86efa7e0814", size = 238488, upload-time = "2025-03-30T20:36:29.175Z" },
-    { url = "https://files.pythonhosted.org/packages/b7/b1/0f25516ae2a35e265868670384feebe64e7857d9cffeeb3887b0197e2ba2/coverage-7.8.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:94ec0be97723ae72d63d3aa41961a0b9a6f5a53ff599813c324548d18e3b9e8c", size = 239589, upload-time = "2025-03-30T20:36:30.876Z" },
-    { url = "https://files.pythonhosted.org/packages/e0/a4/99d88baac0d1d5a46ceef2dd687aac08fffa8795e4c3e71b6f6c78e14482/coverage-7.8.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:8a1d96e780bdb2d0cbb297325711701f7c0b6f89199a57f2049e90064c29f6bd", size = 239366, upload-time = "2025-03-30T20:36:32.563Z" },
-    { url = "https://files.pythonhosted.org/packages/ea/9e/1db89e135feb827a868ed15f8fc857160757f9cab140ffee21342c783ceb/coverage-7.8.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:f1d8a2a57b47142b10374902777e798784abf400a004b14f1b0b9eaf1e528ba4", size = 237591, upload-time = "2025-03-30T20:36:34.721Z" },
-    { url = "https://files.pythonhosted.org/packages/1b/6d/ac4d6fdfd0e201bc82d1b08adfacb1e34b40d21a22cdd62cfaf3c1828566/coverage-7.8.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:cf60dd2696b457b710dd40bf17ad269d5f5457b96442f7f85722bdb16fa6c899", size = 238572, upload-time = "2025-03-30T20:36:36.805Z" },
-    { url = "https://files.pythonhosted.org/packages/25/5e/917cbe617c230f7f1745b6a13e780a3a1cd1cf328dbcd0fd8d7ec52858cd/coverage-7.8.0-cp39-cp39-win32.whl", hash = "sha256:be945402e03de47ba1872cd5236395e0f4ad635526185a930735f66710e1bd3f", size = 213966, upload-time = "2025-03-30T20:36:38.551Z" },
-    { url = "https://files.pythonhosted.org/packages/bd/93/72b434fe550135869f9ea88dd36068af19afce666db576e059e75177e813/coverage-7.8.0-cp39-cp39-win_amd64.whl", hash = "sha256:90e7fbc6216ecaffa5a880cdc9c77b7418c1dcb166166b78dbc630d07f278cc3", size = 214852, upload-time = "2025-03-30T20:36:40.209Z" },
     { url = "https://files.pythonhosted.org/packages/c4/f1/1da77bb4c920aa30e82fa9b6ea065da3467977c2e5e032e38e66f1c57ffd/coverage-7.8.0-pp39.pp310.pp311-none-any.whl", hash = "sha256:b8194fb8e50d556d5849753de991d390c5a1edeeba50f68e3a9253fbd8bf8ccd", size = 203443, upload-time = "2025-03-30T20:36:41.959Z" },
     { url = "https://files.pythonhosted.org/packages/59/f1/4da7717f0063a222db253e7121bd6a56f6fb1ba439dcc36659088793347c/coverage-7.8.0-py3-none-any.whl", hash = "sha256:dbf364b4c5e7bae9250528167dfe40219b62e2d573c854d74be213e1e52069f7", size = 203435, upload-time = "2025-03-30T20:36:43.61Z" },
 ]
@@ -595,6 +484,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/36/f4/c6e662dade71f56cd2f3735141b265c3c79293c109549c1e6933b0651ffc/exceptiongroup-1.3.0-py3-none-any.whl", hash = "sha256:4d111e6e0c13d0644cad6ddaa7ed0261a0b36971f6d23e7ec9b4b9097da78a10", size = 16674, upload-time = "2025-05-10T17:42:49.33Z" },
 ]
 
+[[package]]
+name = "fastjsonschema"
+version = "2.21.2"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/20/b5/23b216d9d985a956623b6bd12d4086b60f0059b27799f23016af04a74ea1/fastjsonschema-2.21.2.tar.gz", hash = "sha256:b1eb43748041c880796cd077f1a07c3d94e93ae84bba5ed36800a33554ae05de", size = 374130, upload-time = "2025-08-14T18:49:36.666Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/cb/a8/20d0723294217e47de6d9e2e40fd4a9d2f7c4b6ef974babd482a59743694/fastjsonschema-2.21.2-py3-none-any.whl", hash = "sha256:1c797122d0a86c5cace2e54bf4e819c36223b552017172f32c5c024a6b77e463", size = 24024, upload-time = "2025-08-14T18:49:34.776Z" },
+]
+
 [[package]]
 name = "fonttools"
 version = "4.58.0"
@@ -633,14 +531,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/4d/23/c2c231457361f869a7d7374a557208e303b469d48a4a697c0fb249733ea1/fonttools-4.58.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:85836be4c3c4aacf6fcb7a6f263896d0e9ce431da9fa6fe9213d70f221f131c9", size = 5002160, upload-time = "2025-05-10T17:36:08.178Z" },
     { url = "https://files.pythonhosted.org/packages/a9/e0/c2262f941a43b810c5c192db94b5d1ce8eda91bec2757f7e2416398f4072/fonttools-4.58.0-cp313-cp313-win32.whl", hash = "sha256:2b32b7130277bd742cb8c4379a6a303963597d22adea77a940343f3eadbcaa4c", size = 2171919, upload-time = "2025-05-10T17:36:10.644Z" },
     { url = "https://files.pythonhosted.org/packages/8f/ee/e4aa7bb4ce510ad57a808d321df1bbed1eeb6e1dfb20aaee1a5d9c076849/fonttools-4.58.0-cp313-cp313-win_amd64.whl", hash = "sha256:75e68ee2ec9aaa173cf5e33f243da1d51d653d5e25090f2722bc644a78db0f1a", size = 2222972, upload-time = "2025-05-10T17:36:12.495Z" },
-    { url = "https://files.pythonhosted.org/packages/33/86/e77cfccfded6e106daedf705eedc6d81a708c9ec59f59208a02a878a11cd/fonttools-4.58.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:d3e6f49f24ce313fe674213314a5ff7d2839d7d143d9e2f8a6140bf93de59797", size = 2737552, upload-time = "2025-05-10T17:36:14.867Z" },
-    { url = "https://files.pythonhosted.org/packages/cf/ac/020f47dc1498894cd4437f9822c562c2c6b2f41d445cc8c3868ccc5f7b63/fonttools-4.58.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:d76bf18647d3aa2a4a539d947a9974e5fb3cd6300ed8d8166b63ab201830d9ed", size = 2306833, upload-time = "2025-05-10T17:36:17.192Z" },
-    { url = "https://files.pythonhosted.org/packages/ea/92/58625bb30840fe8c0364f82836216793a8bb4b38ee317ce667e26e2d17fe/fonttools-4.58.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c47ed13683b02be5c5db296dc80fd42cc65e1a694c32b2e482714d50c05f8a00", size = 4696309, upload-time = "2025-05-10T17:36:19.6Z" },
-    { url = "https://files.pythonhosted.org/packages/aa/de/9d0200eeb5dc186691871e5429ccef5fea52d612ffba96f5f4a1bd400498/fonttools-4.58.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d63b51485b2da4e74ca5ad8bec084400300a8e7a30799df14d915fd9441e2824", size = 4726096, upload-time = "2025-05-10T17:36:21.74Z" },
-    { url = "https://files.pythonhosted.org/packages/af/37/3930476d05b39e26509376878447aace1ca84e68a3bdf0e96943df0cd736/fonttools-4.58.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:187db44b7e1d4e042c23265d7cf7599d280af2e8de091e46e89e7ec4c0729ccf", size = 4778868, upload-time = "2025-05-10T17:36:24.143Z" },
-    { url = "https://files.pythonhosted.org/packages/99/5a/eb318d20c77a2ec3fcd52cc54b0fa422bcb00c4d2a08be341bf170c6a367/fonttools-4.58.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:fde9b32f5964e2a3a2a58e5269673705eb636f604e3cdde24afb1838bf0a501a", size = 4889938, upload-time = "2025-05-10T17:36:26.232Z" },
-    { url = "https://files.pythonhosted.org/packages/8f/83/cff77c089e695372d3c77133eeb523af7ef37c12647a45e52502bc291dc1/fonttools-4.58.0-cp39-cp39-win32.whl", hash = "sha256:ac2037a74b55d6fb2917460d0d6e1d88d35e26a62c70584271d3388f9ea179e1", size = 1466943, upload-time = "2025-05-10T17:36:28.486Z" },
-    { url = "https://files.pythonhosted.org/packages/28/73/195b62a675594eb106b096f115e4115503153591deafd49a63bef6254730/fonttools-4.58.0-cp39-cp39-win_amd64.whl", hash = "sha256:72b42acf0e5d3d61423ee22a1483647acdaf18378bb13970bf583142a2f4dcb8", size = 1511848, upload-time = "2025-05-10T17:36:30.518Z" },
     { url = "https://files.pythonhosted.org/packages/9b/1f/4417c26e26a1feab85a27e927f7a73d8aabc84544be8ba108ce4aa90eb1e/fonttools-4.58.0-py3-none-any.whl", hash = "sha256:c96c36880be2268be409df7b08c5b5dacac1827083461a6bc2cb07b8cbcec1d7", size = 1111440, upload-time = "2025-05-10T17:36:33.607Z" },
 ]
 
@@ -657,15 +547,35 @@ wheels = [
 ]
 
 [[package]]
-name = "griffe"
-version = "1.7.3"
+name = "gitdb"
+version = "4.0.12"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "colorama" },
+    { name = "smmap" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/a9/3e/5aa9a61f7c3c47b0b52a1d930302992229d191bf4bc76447b324b731510a/griffe-1.7.3.tar.gz", hash = "sha256:52ee893c6a3a968b639ace8015bec9d36594961e156e23315c8e8e51401fa50b", size = 395137, upload-time = "2025-04-23T11:29:09.147Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/72/94/63b0fc47eb32792c7ba1fe1b694daec9a63620db1e313033d18140c2320a/gitdb-4.0.12.tar.gz", hash = "sha256:5ef71f855d191a3326fcfbc0d5da835f26b13fbcba60c32c21091c349ffdb571", size = 394684, upload-time = "2025-01-02T07:20:46.413Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/58/c6/5c20af38c2a57c15d87f7f38bee77d63c1d2a3689f74fefaf35915dd12b2/griffe-1.7.3-py3-none-any.whl", hash = "sha256:c6b3ee30c2f0f17f30bcdef5068d6ab7a2a4f1b8bf1a3e74b56fffd21e1c5f75", size = 129303, upload-time = "2025-04-23T11:29:07.145Z" },
+    { url = "https://files.pythonhosted.org/packages/a0/61/5c78b91c3143ed5c14207f463aecfc8f9dbb5092fb2869baf37c273b2705/gitdb-4.0.12-py3-none-any.whl", hash = "sha256:67073e15955400952c6565cc3e707c554a4eea2e428946f7a4c162fab9bd9bcf", size = 62794, upload-time = "2025-01-02T07:20:43.624Z" },
+]
+
+[[package]]
+name = "gitpython"
+version = "3.1.46"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "gitdb" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/df/b5/59d16470a1f0dfe8c793f9ef56fd3826093fc52b3bd96d6b9d6c26c7e27b/gitpython-3.1.46.tar.gz", hash = "sha256:400124c7d0ef4ea03f7310ac2fbf7151e09ff97f2a3288d64a440c584a29c37f", size = 215371, upload-time = "2026-01-01T15:37:32.073Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/6a/09/e21df6aef1e1ffc0c816f0522ddc3f6dcded766c3261813131c78a704470/gitpython-3.1.46-py3-none-any.whl", hash = "sha256:79812ed143d9d25b6d176a10bb511de0f9c67b1fa641d82097b0ab90398a2058", size = 208620, upload-time = "2026-01-01T15:37:30.574Z" },
+]
+
+[[package]]
+name = "griffelib"
+version = "2.0.0"
+source = { registry = "https://pypi.org/simple" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/4d/51/c936033e16d12b627ea334aaaaf42229c37620d0f15593456ab69ab48161/griffelib-2.0.0-py3-none-any.whl", hash = "sha256:01284878c966508b6d6f1dbff9b6fa607bc062d8261c5c7253cb285b06422a7f", size = 142004, upload-time = "2026-02-09T19:09:40.561Z" },
 ]
 
 [[package]]
@@ -776,17 +686,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/c5/9c/e09c7b9ac720a703ab115b221b819f149ed54c974edfff623c1e925e57da/ijson-3.4.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:eda4cfb1d49c6073a901735aaa62e39cb7ab47f3ad7bb184862562f776f1fa8a", size = 203816, upload-time = "2025-05-08T02:36:35.348Z" },
     { url = "https://files.pythonhosted.org/packages/7c/14/acd304f412e32d16a2c12182b9d78206bb0ae35354d35664f45db05c1b3b/ijson-3.4.0-cp313-cp313t-win32.whl", hash = "sha256:0772638efa1f3b72b51736833404f1cbd2f5beeb9c1a3d392e7d385b9160cba7", size = 53760, upload-time = "2025-05-08T02:36:36.608Z" },
     { url = "https://files.pythonhosted.org/packages/2f/24/93dd0a467191590a5ed1fc2b35842bca9d09900d001e00b0b497c0208ef6/ijson-3.4.0-cp313-cp313t-win_amd64.whl", hash = "sha256:3d8a0d67f36e4fb97c61a724456ef0791504b16ce6f74917a31c2e92309bbeb9", size = 56948, upload-time = "2025-05-08T02:36:37.849Z" },
-    { url = "https://files.pythonhosted.org/packages/77/bc/a6777b5c3505b12fa9c5c0b9b3601418ae664653b032697ff465a4ecf508/ijson-3.4.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:8a990401dc7350c1739f42187823e68d2ef6964b55040c6e9f3a29461f9929e2", size = 87662, upload-time = "2025-05-08T02:36:39.378Z" },
-    { url = "https://files.pythonhosted.org/packages/eb/89/adc0ac5c24fc6524d52893d951a66120416ced4ceee9fa53de649624fa5d/ijson-3.4.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:80f50e0f5da4cd6b65e2d8ff38cb61b26559608a05dd3a3f9cfa6f19848e6f22", size = 59262, upload-time = "2025-05-08T02:36:40.8Z" },
-    { url = "https://files.pythonhosted.org/packages/ea/c4/22e4eb1c12dde0a1c59ff321793ca8b796d85fa2ff638ec06a8e66f98b02/ijson-3.4.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:2d9ca52f5650d820a2e7aa672dea1c560f609e165337e5b3ed7cf56d696bf309", size = 59323, upload-time = "2025-05-08T02:36:41.95Z" },
-    { url = "https://files.pythonhosted.org/packages/c5/64/83457822e41fb9ecaf36e50d149978c4bf693cc9e14a72a34afe6ca5d133/ijson-3.4.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:940c8c5fd20fb89b56dde9194a4f1c7b779149f1ab26af6d8dc1da51a95d26dd", size = 130202, upload-time = "2025-05-08T02:36:43.202Z" },
-    { url = "https://files.pythonhosted.org/packages/9e/a0/ce14ccfcddb039c115fc879380695bad5e8d8f3ba092454df5cb6ed4771c/ijson-3.4.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:41dbb525666017ad856ac9b4f0f4b87d3e56b7dfde680d5f6d123556b22e2172", size = 124547, upload-time = "2025-05-08T02:36:44.761Z" },
-    { url = "https://files.pythonhosted.org/packages/59/7c/f78870bf57daa578542b2ea46da336d03de7c2971d2b2fcfed3773757a17/ijson-3.4.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a9f84f5e2eea5c2d271c97221c382db005534294d1175ddd046a12369617c41c", size = 129407, upload-time = "2025-05-08T02:36:46.319Z" },
-    { url = "https://files.pythonhosted.org/packages/02/08/693a327b50f9036026e062016d6417cd2ce31699cc56c27fe82fb9185140/ijson-3.4.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:c0cd126c11835839bba8ac0baaba568f67d701fc4f717791cf37b10b74a2ebd7", size = 130991, upload-time = "2025-05-08T02:36:47.595Z" },
-    { url = "https://files.pythonhosted.org/packages/83/22/96ff12c3ca91613bb020bcf9b3aaee510324af999b08b7e7d2e7acb14123/ijson-3.4.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:f9a9d3bbc6d91c24a2524a189d2aca703cb5f7e8eb34ad0aff3c91702404a983", size = 126175, upload-time = "2025-05-08T02:36:48.992Z" },
-    { url = "https://files.pythonhosted.org/packages/e9/59/3b37550686448fc053c456b9af47aa407e6ac4183015f435c0ea11db5849/ijson-3.4.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:56679ee133470d0f1f598a8ad109d760fcfebeef4819531e29335aefb7e4cb1a", size = 128775, upload-time = "2025-05-08T02:36:50.54Z" },
-    { url = "https://files.pythonhosted.org/packages/5b/27/6922201d19427c1c6d1f970de3ede105d52ab87654c4d2c76920815bc57a/ijson-3.4.0-cp39-cp39-win32.whl", hash = "sha256:583c15ded42ba80104fa1d0fa0dfdd89bb47922f3bb893a931bb843aeb55a3f3", size = 51250, upload-time = "2025-05-08T02:36:51.811Z" },
-    { url = "https://files.pythonhosted.org/packages/c3/70/9939dbbe3541d7cca69c95f64201cd2fd6dba7a6488e3b55e6227d6f6e42/ijson-3.4.0-cp39-cp39-win_amd64.whl", hash = "sha256:4563e603e56f4451572d96b47311dffef5b933d825f3417881d4d3630c6edac2", size = 53737, upload-time = "2025-05-08T02:36:53.369Z" },
     { url = "https://files.pythonhosted.org/packages/a7/22/da919f16ca9254f8a9ea0ba482d2c1d012ce6e4c712dcafd8adb16b16c63/ijson-3.4.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:54e989c35dba9cf163d532c14bcf0c260897d5f465643f0cd1fba9c908bed7ef", size = 56480, upload-time = "2025-05-08T02:36:54.942Z" },
     { url = "https://files.pythonhosted.org/packages/6d/54/c2afd289e034d11c4909f4ea90c9dae55053bed358064f310c3dd5033657/ijson-3.4.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:494eeb8e87afef22fbb969a4cb81ac2c535f30406f334fb6136e9117b0bb5380", size = 55956, upload-time = "2025-05-08T02:36:56.178Z" },
     { url = "https://files.pythonhosted.org/packages/43/d6/18799b0fca9ecb8a47e22527eedcea3267e95d4567b564ef21d0299e2d12/ijson-3.4.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:81603de95de1688958af65cd2294881a4790edae7de540b70c65c8253c5dc44a", size = 69394, upload-time = "2025-05-08T02:36:57.699Z" },
@@ -799,12 +698,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/32/51/aa30abc02aabfc41c95887acf5f1f88da569642d7197fbe5aa105545226d/ijson-3.4.0-pp311-pypy311_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ed05d43ec02be8ddb1ab59579761f6656b25d241a77fd74f4f0f7ec09074318a", size = 70377, upload-time = "2025-05-08T02:37:07.353Z" },
     { url = "https://files.pythonhosted.org/packages/c7/37/7773659b8d8d98b34234e1237352f6b446a3c12941619686c7d4a8a5c69c/ijson-3.4.0-pp311-pypy311_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cfeca1aaa59d93fd0a3718cbe5f7ef0effff85cf837e0bceb71831a47f39cc14", size = 67767, upload-time = "2025-05-08T02:37:08.587Z" },
     { url = "https://files.pythonhosted.org/packages/cd/1f/dd52a84ed140e31a5d226cd47d98d21aa559aead35ef7bae479eab4c494c/ijson-3.4.0-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:7ca72ca12e9a1dd4252c97d952be34282907f263f7e28fcdff3a01b83981e837", size = 53864, upload-time = "2025-05-08T02:37:10.044Z" },
-    { url = "https://files.pythonhosted.org/packages/9f/08/0bbdce5e765fee9b5a29f8a9670c00adb54809122cdadd06cd2d33244d68/ijson-3.4.0-pp39-pypy39_pp73-macosx_10_15_x86_64.whl", hash = "sha256:0f79b2cd52bd220fff83b3ee4ef89b54fd897f57cc8564a6d8ab7ac669de3930", size = 56416, upload-time = "2025-05-08T02:37:11.23Z" },
-    { url = "https://files.pythonhosted.org/packages/fd/33/3f62475b40ddb2bf9de1fb9e5f47d89748b4b91fe3c2cd645111d62438fb/ijson-3.4.0-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:d16eed737610ad5ad8989b5864fbe09c64133129734e840c29085bb0d497fb03", size = 55903, upload-time = "2025-05-08T02:37:12.476Z" },
-    { url = "https://files.pythonhosted.org/packages/9f/25/c8955e4fef31f7d16635361ec9a2195845c45a2db1483d7790a57a640cc2/ijson-3.4.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6b3aac1d7a27e1e3bdec5bd0689afe55c34aa499baa06a80852eda31f1ffa6dc", size = 69358, upload-time = "2025-05-08T02:37:14.854Z" },
-    { url = "https://files.pythonhosted.org/packages/45/b1/900f5d9a868304ff571bab7d10491df17e92105a9846a619d6e4d806e60e/ijson-3.4.0-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:784ae654aa9851851e87f323e9429b20b58a5399f83e6a7e348e080f2892081f", size = 70343, upload-time = "2025-05-08T02:37:16.115Z" },
-    { url = "https://files.pythonhosted.org/packages/b8/ed/2a6e467b4c403b0f182724929dd0c85da98e1d1b84e4766028d2c3220eea/ijson-3.4.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5d05bd8fa6a8adefb32bbf7b993d2a2f4507db08453dd1a444c281413a6d9685", size = 67710, upload-time = "2025-05-08T02:37:17.675Z" },
-    { url = "https://files.pythonhosted.org/packages/11/c8/de4e995b17effb92f610efc3193393d05f8f233062a716d254d7b4e736c1/ijson-3.4.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:b5a05fd935cc28786b88c16976313086cd96414c6a3eb0a3822c47ab48b1793e", size = 53782, upload-time = "2025-05-08T02:37:18.894Z" },
 ]
 
 [[package]]
@@ -823,9 +716,6 @@ wheels = [
 name = "importlib-resources"
 version = "6.5.2"
 source = { registry = "https://pypi.org/simple" }
-dependencies = [
-    { name = "zipp", marker = "python_full_version < '3.10'" },
-]
 sdist = { url = "https://files.pythonhosted.org/packages/cf/8c/f834fbf984f691b4f7ff60f50b514cc3de5cc08abfc3295564dd89c5e2e7/importlib_resources-6.5.2.tar.gz", hash = "sha256:185f87adef5bcc288449d98fb4fba07cea78bc036455dd44c5fc4a2fe78fed2c", size = 44693, upload-time = "2025-01-03T18:51:56.698Z" }
 wheels = [
     { url = "https://files.pythonhosted.org/packages/a4/ed/1f1afb2e9e7f38a545d628f864d562a5ae64fe6f7a10e28ffb9b185b4e89/importlib_resources-6.5.2-py3-none-any.whl", hash = "sha256:789cfdc3ed28c78b67a06acb8126751ced69a3d5f79c095a98298cd8a760ccec", size = 37461, upload-time = "2025-01-03T18:51:54.306Z" },
@@ -853,117 +743,74 @@ wheels = [
 ]
 
 [[package]]
-name = "kiwisolver"
-version = "1.4.7"
+name = "jsonschema"
+version = "4.26.0"
 source = { registry = "https://pypi.org/simple" }
-resolution-markers = [
-    "python_full_version < '3.10'",
-]
-sdist = { url = "https://files.pythonhosted.org/packages/85/4d/2255e1c76304cbd60b48cee302b66d1dde4468dc5b1160e4b7cb43778f2a/kiwisolver-1.4.7.tar.gz", hash = "sha256:9893ff81bd7107f7b685d3017cc6583daadb4fc26e4a888350df530e41980a60", size = 97286, upload-time = "2024-09-04T09:39:44.302Z" }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/97/14/fc943dd65268a96347472b4fbe5dcc2f6f55034516f80576cd0dd3a8930f/kiwisolver-1.4.7-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:8a9c83f75223d5e48b0bc9cb1bf2776cf01563e00ade8775ffe13b0b6e1af3a6", size = 122440, upload-time = "2024-09-04T09:03:44.9Z" },
-    { url = "https://files.pythonhosted.org/packages/1e/46/e68fed66236b69dd02fcdb506218c05ac0e39745d696d22709498896875d/kiwisolver-1.4.7-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:58370b1ffbd35407444d57057b57da5d6549d2d854fa30249771775c63b5fe17", size = 65758, upload-time = "2024-09-04T09:03:46.582Z" },
-    { url = "https://files.pythonhosted.org/packages/ef/fa/65de49c85838681fc9cb05de2a68067a683717321e01ddafb5b8024286f0/kiwisolver-1.4.7-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:aa0abdf853e09aff551db11fce173e2177d00786c688203f52c87ad7fcd91ef9", size = 64311, upload-time = "2024-09-04T09:03:47.973Z" },
-    { url = "https://files.pythonhosted.org/packages/42/9c/cc8d90f6ef550f65443bad5872ffa68f3dee36de4974768628bea7c14979/kiwisolver-1.4.7-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:8d53103597a252fb3ab8b5845af04c7a26d5e7ea8122303dd7a021176a87e8b9", size = 1637109, upload-time = "2024-09-04T09:03:49.281Z" },
-    { url = "https://files.pythonhosted.org/packages/55/91/0a57ce324caf2ff5403edab71c508dd8f648094b18cfbb4c8cc0fde4a6ac/kiwisolver-1.4.7-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:88f17c5ffa8e9462fb79f62746428dd57b46eb931698e42e990ad63103f35e6c", size = 1617814, upload-time = "2024-09-04T09:03:51.444Z" },
-    { url = "https://files.pythonhosted.org/packages/12/5d/c36140313f2510e20207708adf36ae4919416d697ee0236b0ddfb6fd1050/kiwisolver-1.4.7-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:88a9ca9c710d598fd75ee5de59d5bda2684d9db36a9f50b6125eaea3969c2599", size = 1400881, upload-time = "2024-09-04T09:03:53.357Z" },
-    { url = "https://files.pythonhosted.org/packages/56/d0/786e524f9ed648324a466ca8df86298780ef2b29c25313d9a4f16992d3cf/kiwisolver-1.4.7-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f4d742cb7af1c28303a51b7a27aaee540e71bb8e24f68c736f6f2ffc82f2bf05", size = 1512972, upload-time = "2024-09-04T09:03:55.082Z" },
-    { url = "https://files.pythonhosted.org/packages/67/5a/77851f2f201e6141d63c10a0708e996a1363efaf9e1609ad0441b343763b/kiwisolver-1.4.7-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e28c7fea2196bf4c2f8d46a0415c77a1c480cc0724722f23d7410ffe9842c407", size = 1444787, upload-time = "2024-09-04T09:03:56.588Z" },
-    { url = "https://files.pythonhosted.org/packages/06/5f/1f5eaab84355885e224a6fc8d73089e8713dc7e91c121f00b9a1c58a2195/kiwisolver-1.4.7-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:e968b84db54f9d42046cf154e02911e39c0435c9801681e3fc9ce8a3c4130278", size = 2199212, upload-time = "2024-09-04T09:03:58.557Z" },
-    { url = "https://files.pythonhosted.org/packages/b5/28/9152a3bfe976a0ae21d445415defc9d1cd8614b2910b7614b30b27a47270/kiwisolver-1.4.7-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:0c18ec74c0472de033e1bebb2911c3c310eef5649133dd0bedf2a169a1b269e5", size = 2346399, upload-time = "2024-09-04T09:04:00.178Z" },
-    { url = "https://files.pythonhosted.org/packages/26/f6/453d1904c52ac3b400f4d5e240ac5fec25263716723e44be65f4d7149d13/kiwisolver-1.4.7-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:8f0ea6da6d393d8b2e187e6a5e3fb81f5862010a40c3945e2c6d12ae45cfb2ad", size = 2308688, upload-time = "2024-09-04T09:04:02.216Z" },
-    { url = "https://files.pythonhosted.org/packages/5a/9a/d4968499441b9ae187e81745e3277a8b4d7c60840a52dc9d535a7909fac3/kiwisolver-1.4.7-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:f106407dda69ae456dd1227966bf445b157ccc80ba0dff3802bb63f30b74e895", size = 2445493, upload-time = "2024-09-04T09:04:04.571Z" },
-    { url = "https://files.pythonhosted.org/packages/07/c9/032267192e7828520dacb64dfdb1d74f292765f179e467c1cba97687f17d/kiwisolver-1.4.7-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:84ec80df401cfee1457063732d90022f93951944b5b58975d34ab56bb150dfb3", size = 2262191, upload-time = "2024-09-04T09:04:05.969Z" },
-    { url = "https://files.pythonhosted.org/packages/6c/ad/db0aedb638a58b2951da46ddaeecf204be8b4f5454df020d850c7fa8dca8/kiwisolver-1.4.7-cp310-cp310-win32.whl", hash = "sha256:71bb308552200fb2c195e35ef05de12f0c878c07fc91c270eb3d6e41698c3bcc", size = 46644, upload-time = "2024-09-04T09:04:07.408Z" },
-    { url = "https://files.pythonhosted.org/packages/12/ca/d0f7b7ffbb0be1e7c2258b53554efec1fd652921f10d7d85045aff93ab61/kiwisolver-1.4.7-cp310-cp310-win_amd64.whl", hash = "sha256:44756f9fd339de0fb6ee4f8c1696cfd19b2422e0d70b4cefc1cc7f1f64045a8c", size = 55877, upload-time = "2024-09-04T09:04:08.869Z" },
-    { url = "https://files.pythonhosted.org/packages/97/6c/cfcc128672f47a3e3c0d918ecb67830600078b025bfc32d858f2e2d5c6a4/kiwisolver-1.4.7-cp310-cp310-win_arm64.whl", hash = "sha256:78a42513018c41c2ffd262eb676442315cbfe3c44eed82385c2ed043bc63210a", size = 48347, upload-time = "2024-09-04T09:04:10.106Z" },
-    { url = "https://files.pythonhosted.org/packages/e9/44/77429fa0a58f941d6e1c58da9efe08597d2e86bf2b2cce6626834f49d07b/kiwisolver-1.4.7-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:d2b0e12a42fb4e72d509fc994713d099cbb15ebf1103545e8a45f14da2dfca54", size = 122442, upload-time = "2024-09-04T09:04:11.432Z" },
-    { url = "https://files.pythonhosted.org/packages/e5/20/8c75caed8f2462d63c7fd65e16c832b8f76cda331ac9e615e914ee80bac9/kiwisolver-1.4.7-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:2a8781ac3edc42ea4b90bc23e7d37b665d89423818e26eb6df90698aa2287c95", size = 65762, upload-time = "2024-09-04T09:04:12.468Z" },
-    { url = "https://files.pythonhosted.org/packages/f4/98/fe010f15dc7230f45bc4cf367b012d651367fd203caaa992fd1f5963560e/kiwisolver-1.4.7-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:46707a10836894b559e04b0fd143e343945c97fd170d69a2d26d640b4e297935", size = 64319, upload-time = "2024-09-04T09:04:13.635Z" },
-    { url = "https://files.pythonhosted.org/packages/8b/1b/b5d618f4e58c0675654c1e5051bcf42c776703edb21c02b8c74135541f60/kiwisolver-1.4.7-cp311-cp311-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ef97b8df011141c9b0f6caf23b29379f87dd13183c978a30a3c546d2c47314cb", size = 1334260, upload-time = "2024-09-04T09:04:14.878Z" },
-    { url = "https://files.pythonhosted.org/packages/b8/01/946852b13057a162a8c32c4c8d2e9ed79f0bb5d86569a40c0b5fb103e373/kiwisolver-1.4.7-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3ab58c12a2cd0fc769089e6d38466c46d7f76aced0a1f54c77652446733d2d02", size = 1426589, upload-time = "2024-09-04T09:04:16.514Z" },
-    { url = "https://files.pythonhosted.org/packages/70/d1/c9f96df26b459e15cf8a965304e6e6f4eb291e0f7a9460b4ad97b047561e/kiwisolver-1.4.7-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:803b8e1459341c1bb56d1c5c010406d5edec8a0713a0945851290a7930679b51", size = 1541080, upload-time = "2024-09-04T09:04:18.322Z" },
-    { url = "https://files.pythonhosted.org/packages/d3/73/2686990eb8b02d05f3de759d6a23a4ee7d491e659007dd4c075fede4b5d0/kiwisolver-1.4.7-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f9a9e8a507420fe35992ee9ecb302dab68550dedc0da9e2880dd88071c5fb052", size = 1470049, upload-time = "2024-09-04T09:04:20.266Z" },
-    { url = "https://files.pythonhosted.org/packages/a7/4b/2db7af3ed3af7c35f388d5f53c28e155cd402a55432d800c543dc6deb731/kiwisolver-1.4.7-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:18077b53dc3bb490e330669a99920c5e6a496889ae8c63b58fbc57c3d7f33a18", size = 1426376, upload-time = "2024-09-04T09:04:22.419Z" },
-    { url = "https://files.pythonhosted.org/packages/05/83/2857317d04ea46dc5d115f0df7e676997bbd968ced8e2bd6f7f19cfc8d7f/kiwisolver-1.4.7-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:6af936f79086a89b3680a280c47ea90b4df7047b5bdf3aa5c524bbedddb9e545", size = 2222231, upload-time = "2024-09-04T09:04:24.526Z" },
-    { url = "https://files.pythonhosted.org/packages/0d/b5/866f86f5897cd4ab6d25d22e403404766a123f138bd6a02ecb2cdde52c18/kiwisolver-1.4.7-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:3abc5b19d24af4b77d1598a585b8a719beb8569a71568b66f4ebe1fb0449460b", size = 2368634, upload-time = "2024-09-04T09:04:25.899Z" },
-    { url = "https://files.pythonhosted.org/packages/c1/ee/73de8385403faba55f782a41260210528fe3273d0cddcf6d51648202d6d0/kiwisolver-1.4.7-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:933d4de052939d90afbe6e9d5273ae05fb836cc86c15b686edd4b3560cc0ee36", size = 2329024, upload-time = "2024-09-04T09:04:28.523Z" },
-    { url = "https://files.pythonhosted.org/packages/a1/e7/cd101d8cd2cdfaa42dc06c433df17c8303d31129c9fdd16c0ea37672af91/kiwisolver-1.4.7-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:65e720d2ab2b53f1f72fb5da5fb477455905ce2c88aaa671ff0a447c2c80e8e3", size = 2468484, upload-time = "2024-09-04T09:04:30.547Z" },
-    { url = "https://files.pythonhosted.org/packages/e1/72/84f09d45a10bc57a40bb58b81b99d8f22b58b2040c912b7eb97ebf625bf2/kiwisolver-1.4.7-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:3bf1ed55088f214ba6427484c59553123fdd9b218a42bbc8c6496d6754b1e523", size = 2284078, upload-time = "2024-09-04T09:04:33.218Z" },
-    { url = "https://files.pythonhosted.org/packages/d2/d4/71828f32b956612dc36efd7be1788980cb1e66bfb3706e6dec9acad9b4f9/kiwisolver-1.4.7-cp311-cp311-win32.whl", hash = "sha256:4c00336b9dd5ad96d0a558fd18a8b6f711b7449acce4c157e7343ba92dd0cf3d", size = 46645, upload-time = "2024-09-04T09:04:34.371Z" },
-    { url = "https://files.pythonhosted.org/packages/a1/65/d43e9a20aabcf2e798ad1aff6c143ae3a42cf506754bcb6a7ed8259c8425/kiwisolver-1.4.7-cp311-cp311-win_amd64.whl", hash = "sha256:929e294c1ac1e9f615c62a4e4313ca1823ba37326c164ec720a803287c4c499b", size = 56022, upload-time = "2024-09-04T09:04:35.786Z" },
-    { url = "https://files.pythonhosted.org/packages/35/b3/9f75a2e06f1b4ca00b2b192bc2b739334127d27f1d0625627ff8479302ba/kiwisolver-1.4.7-cp311-cp311-win_arm64.whl", hash = "sha256:e33e8fbd440c917106b237ef1a2f1449dfbb9b6f6e1ce17c94cd6a1e0d438376", size = 48536, upload-time = "2024-09-04T09:04:37.525Z" },
-    { url = "https://files.pythonhosted.org/packages/97/9c/0a11c714cf8b6ef91001c8212c4ef207f772dd84540104952c45c1f0a249/kiwisolver-1.4.7-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:5360cc32706dab3931f738d3079652d20982511f7c0ac5711483e6eab08efff2", size = 121808, upload-time = "2024-09-04T09:04:38.637Z" },
-    { url = "https://files.pythonhosted.org/packages/f2/d8/0fe8c5f5d35878ddd135f44f2af0e4e1d379e1c7b0716f97cdcb88d4fd27/kiwisolver-1.4.7-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:942216596dc64ddb25adb215c3c783215b23626f8d84e8eff8d6d45c3f29f75a", size = 65531, upload-time = "2024-09-04T09:04:39.694Z" },
-    { url = "https://files.pythonhosted.org/packages/80/c5/57fa58276dfdfa612241d640a64ca2f76adc6ffcebdbd135b4ef60095098/kiwisolver-1.4.7-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:48b571ecd8bae15702e4f22d3ff6a0f13e54d3d00cd25216d5e7f658242065ee", size = 63894, upload-time = "2024-09-04T09:04:41.6Z" },
-    { url = "https://files.pythonhosted.org/packages/8b/e9/26d3edd4c4ad1c5b891d8747a4f81b1b0aba9fb9721de6600a4adc09773b/kiwisolver-1.4.7-cp312-cp312-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ad42ba922c67c5f219097b28fae965e10045ddf145d2928bfac2eb2e17673640", size = 1369296, upload-time = "2024-09-04T09:04:42.886Z" },
-    { url = "https://files.pythonhosted.org/packages/b6/67/3f4850b5e6cffb75ec40577ddf54f7b82b15269cc5097ff2e968ee32ea7d/kiwisolver-1.4.7-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:612a10bdae23404a72941a0fc8fa2660c6ea1217c4ce0dbcab8a8f6543ea9e7f", size = 1461450, upload-time = "2024-09-04T09:04:46.284Z" },
-    { url = "https://files.pythonhosted.org/packages/52/be/86cbb9c9a315e98a8dc6b1d23c43cffd91d97d49318854f9c37b0e41cd68/kiwisolver-1.4.7-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9e838bba3a3bac0fe06d849d29772eb1afb9745a59710762e4ba3f4cb8424483", size = 1579168, upload-time = "2024-09-04T09:04:47.91Z" },
-    { url = "https://files.pythonhosted.org/packages/0f/00/65061acf64bd5fd34c1f4ae53f20b43b0a017a541f242a60b135b9d1e301/kiwisolver-1.4.7-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:22f499f6157236c19f4bbbd472fa55b063db77a16cd74d49afe28992dff8c258", size = 1507308, upload-time = "2024-09-04T09:04:49.465Z" },
-    { url = "https://files.pythonhosted.org/packages/21/e4/c0b6746fd2eb62fe702118b3ca0cb384ce95e1261cfada58ff693aeec08a/kiwisolver-1.4.7-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:693902d433cf585133699972b6d7c42a8b9f8f826ebcaf0132ff55200afc599e", size = 1464186, upload-time = "2024-09-04T09:04:50.949Z" },
-    { url = "https://files.pythonhosted.org/packages/0a/0f/529d0a9fffb4d514f2782c829b0b4b371f7f441d61aa55f1de1c614c4ef3/kiwisolver-1.4.7-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:4e77f2126c3e0b0d055f44513ed349038ac180371ed9b52fe96a32aa071a5107", size = 2247877, upload-time = "2024-09-04T09:04:52.388Z" },
-    { url = "https://files.pythonhosted.org/packages/d1/e1/66603ad779258843036d45adcbe1af0d1a889a07af4635f8b4ec7dccda35/kiwisolver-1.4.7-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:657a05857bda581c3656bfc3b20e353c232e9193eb167766ad2dc58b56504948", size = 2404204, upload-time = "2024-09-04T09:04:54.385Z" },
-    { url = "https://files.pythonhosted.org/packages/8d/61/de5fb1ca7ad1f9ab7970e340a5b833d735df24689047de6ae71ab9d8d0e7/kiwisolver-1.4.7-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:4bfa75a048c056a411f9705856abfc872558e33c055d80af6a380e3658766038", size = 2352461, upload-time = "2024-09-04T09:04:56.307Z" },
-    { url = "https://files.pythonhosted.org/packages/ba/d2/0edc00a852e369827f7e05fd008275f550353f1f9bcd55db9363d779fc63/kiwisolver-1.4.7-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:34ea1de54beef1c104422d210c47c7d2a4999bdecf42c7b5718fbe59a4cac383", size = 2501358, upload-time = "2024-09-04T09:04:57.922Z" },
-    { url = "https://files.pythonhosted.org/packages/84/15/adc15a483506aec6986c01fb7f237c3aec4d9ed4ac10b756e98a76835933/kiwisolver-1.4.7-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:90da3b5f694b85231cf93586dad5e90e2d71b9428f9aad96952c99055582f520", size = 2314119, upload-time = "2024-09-04T09:04:59.332Z" },
-    { url = "https://files.pythonhosted.org/packages/36/08/3a5bb2c53c89660863a5aa1ee236912269f2af8762af04a2e11df851d7b2/kiwisolver-1.4.7-cp312-cp312-win32.whl", hash = "sha256:18e0cca3e008e17fe9b164b55735a325140a5a35faad8de92dd80265cd5eb80b", size = 46367, upload-time = "2024-09-04T09:05:00.804Z" },
-    { url = "https://files.pythonhosted.org/packages/19/93/c05f0a6d825c643779fc3c70876bff1ac221f0e31e6f701f0e9578690d70/kiwisolver-1.4.7-cp312-cp312-win_amd64.whl", hash = "sha256:58cb20602b18f86f83a5c87d3ee1c766a79c0d452f8def86d925e6c60fbf7bfb", size = 55884, upload-time = "2024-09-04T09:05:01.924Z" },
-    { url = "https://files.pythonhosted.org/packages/d2/f9/3828d8f21b6de4279f0667fb50a9f5215e6fe57d5ec0d61905914f5b6099/kiwisolver-1.4.7-cp312-cp312-win_arm64.whl", hash = "sha256:f5a8b53bdc0b3961f8b6125e198617c40aeed638b387913bf1ce78afb1b0be2a", size = 48528, upload-time = "2024-09-04T09:05:02.983Z" },
-    { url = "https://files.pythonhosted.org/packages/c4/06/7da99b04259b0f18b557a4effd1b9c901a747f7fdd84cf834ccf520cb0b2/kiwisolver-1.4.7-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:2e6039dcbe79a8e0f044f1c39db1986a1b8071051efba3ee4d74f5b365f5226e", size = 121913, upload-time = "2024-09-04T09:05:04.072Z" },
-    { url = "https://files.pythonhosted.org/packages/97/f5/b8a370d1aa593c17882af0a6f6755aaecd643640c0ed72dcfd2eafc388b9/kiwisolver-1.4.7-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:a1ecf0ac1c518487d9d23b1cd7139a6a65bc460cd101ab01f1be82ecf09794b6", size = 65627, upload-time = "2024-09-04T09:05:05.119Z" },
-    { url = "https://files.pythonhosted.org/packages/2a/fc/6c0374f7503522539e2d4d1b497f5ebad3f8ed07ab51aed2af988dd0fb65/kiwisolver-1.4.7-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:7ab9ccab2b5bd5702ab0803676a580fffa2aa178c2badc5557a84cc943fcf750", size = 63888, upload-time = "2024-09-04T09:05:06.191Z" },
-    { url = "https://files.pythonhosted.org/packages/bf/3e/0b7172793d0f41cae5c923492da89a2ffcd1adf764c16159ca047463ebd3/kiwisolver-1.4.7-cp313-cp313-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f816dd2277f8d63d79f9c8473a79fe54047bc0467754962840782c575522224d", size = 1369145, upload-time = "2024-09-04T09:05:07.919Z" },
-    { url = "https://files.pythonhosted.org/packages/77/92/47d050d6f6aced2d634258123f2688fbfef8ded3c5baf2c79d94d91f1f58/kiwisolver-1.4.7-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cf8bcc23ceb5a1b624572a1623b9f79d2c3b337c8c455405ef231933a10da379", size = 1461448, upload-time = "2024-09-04T09:05:10.01Z" },
-    { url = "https://files.pythonhosted.org/packages/9c/1b/8f80b18e20b3b294546a1adb41701e79ae21915f4175f311a90d042301cf/kiwisolver-1.4.7-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:dea0bf229319828467d7fca8c7c189780aa9ff679c94539eed7532ebe33ed37c", size = 1578750, upload-time = "2024-09-04T09:05:11.598Z" },
-    { url = "https://files.pythonhosted.org/packages/a4/fe/fe8e72f3be0a844f257cadd72689c0848c6d5c51bc1d60429e2d14ad776e/kiwisolver-1.4.7-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:7c06a4c7cf15ec739ce0e5971b26c93638730090add60e183530d70848ebdd34", size = 1507175, upload-time = "2024-09-04T09:05:13.22Z" },
-    { url = "https://files.pythonhosted.org/packages/39/fa/cdc0b6105d90eadc3bee525fecc9179e2b41e1ce0293caaf49cb631a6aaf/kiwisolver-1.4.7-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:913983ad2deb14e66d83c28b632fd35ba2b825031f2fa4ca29675e665dfecbe1", size = 1463963, upload-time = "2024-09-04T09:05:15.925Z" },
-    { url = "https://files.pythonhosted.org/packages/6e/5c/0c03c4e542720c6177d4f408e56d1c8315899db72d46261a4e15b8b33a41/kiwisolver-1.4.7-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:5337ec7809bcd0f424c6b705ecf97941c46279cf5ed92311782c7c9c2026f07f", size = 2248220, upload-time = "2024-09-04T09:05:17.434Z" },
-    { url = "https://files.pythonhosted.org/packages/3d/ee/55ef86d5a574f4e767df7da3a3a7ff4954c996e12d4fbe9c408170cd7dcc/kiwisolver-1.4.7-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:4c26ed10c4f6fa6ddb329a5120ba3b6db349ca192ae211e882970bfc9d91420b", size = 2404463, upload-time = "2024-09-04T09:05:18.997Z" },
-    { url = "https://files.pythonhosted.org/packages/0f/6d/73ad36170b4bff4825dc588acf4f3e6319cb97cd1fb3eb04d9faa6b6f212/kiwisolver-1.4.7-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:c619b101e6de2222c1fcb0531e1b17bbffbe54294bfba43ea0d411d428618c27", size = 2352842, upload-time = "2024-09-04T09:05:21.299Z" },
-    { url = "https://files.pythonhosted.org/packages/0b/16/fa531ff9199d3b6473bb4d0f47416cdb08d556c03b8bc1cccf04e756b56d/kiwisolver-1.4.7-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:073a36c8273647592ea332e816e75ef8da5c303236ec0167196793eb1e34657a", size = 2501635, upload-time = "2024-09-04T09:05:23.588Z" },
-    { url = "https://files.pythonhosted.org/packages/78/7e/aa9422e78419db0cbe75fb86d8e72b433818f2e62e2e394992d23d23a583/kiwisolver-1.4.7-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:3ce6b2b0231bda412463e152fc18335ba32faf4e8c23a754ad50ffa70e4091ee", size = 2314556, upload-time = "2024-09-04T09:05:25.907Z" },
-    { url = "https://files.pythonhosted.org/packages/a8/b2/15f7f556df0a6e5b3772a1e076a9d9f6c538ce5f05bd590eca8106508e06/kiwisolver-1.4.7-cp313-cp313-win32.whl", hash = "sha256:f4c9aee212bc89d4e13f58be11a56cc8036cabad119259d12ace14b34476fd07", size = 46364, upload-time = "2024-09-04T09:05:27.184Z" },
-    { url = "https://files.pythonhosted.org/packages/0b/db/32e897e43a330eee8e4770bfd2737a9584b23e33587a0812b8e20aac38f7/kiwisolver-1.4.7-cp313-cp313-win_amd64.whl", hash = "sha256:8a3ec5aa8e38fc4c8af308917ce12c536f1c88452ce554027e55b22cbbfbff76", size = 55887, upload-time = "2024-09-04T09:05:28.372Z" },
-    { url = "https://files.pythonhosted.org/packages/c8/a4/df2bdca5270ca85fd25253049eb6708d4127be2ed0e5c2650217450b59e9/kiwisolver-1.4.7-cp313-cp313-win_arm64.whl", hash = "sha256:76c8094ac20ec259471ac53e774623eb62e6e1f56cd8690c67ce6ce4fcb05650", size = 48530, upload-time = "2024-09-04T09:05:30.225Z" },
-    { url = "https://files.pythonhosted.org/packages/11/88/37ea0ea64512997b13d69772db8dcdc3bfca5442cda3a5e4bb943652ee3e/kiwisolver-1.4.7-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:3f9362ecfca44c863569d3d3c033dbe8ba452ff8eed6f6b5806382741a1334bd", size = 122449, upload-time = "2024-09-04T09:05:55.311Z" },
-    { url = "https://files.pythonhosted.org/packages/4e/45/5a5c46078362cb3882dcacad687c503089263c017ca1241e0483857791eb/kiwisolver-1.4.7-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:e8df2eb9b2bac43ef8b082e06f750350fbbaf2887534a5be97f6cf07b19d9583", size = 65757, upload-time = "2024-09-04T09:05:56.906Z" },
-    { url = "https://files.pythonhosted.org/packages/8a/be/a6ae58978772f685d48dd2e84460937761c53c4bbd84e42b0336473d9775/kiwisolver-1.4.7-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:f32d6edbc638cde7652bd690c3e728b25332acbadd7cad670cc4a02558d9c417", size = 64312, upload-time = "2024-09-04T09:05:58.384Z" },
-    { url = "https://files.pythonhosted.org/packages/f4/04/18ef6f452d311e1e1eb180c9bf5589187fa1f042db877e6fe443ef10099c/kiwisolver-1.4.7-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:e2e6c39bd7b9372b0be21456caab138e8e69cc0fc1190a9dfa92bd45a1e6e904", size = 1626966, upload-time = "2024-09-04T09:05:59.855Z" },
-    { url = "https://files.pythonhosted.org/packages/21/b1/40655f6c3fa11ce740e8a964fa8e4c0479c87d6a7944b95af799c7a55dfe/kiwisolver-1.4.7-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:dda56c24d869b1193fcc763f1284b9126550eaf84b88bbc7256e15028f19188a", size = 1607044, upload-time = "2024-09-04T09:06:02.16Z" },
-    { url = "https://files.pythonhosted.org/packages/fd/93/af67dbcfb9b3323bbd2c2db1385a7139d8f77630e4a37bb945b57188eb2d/kiwisolver-1.4.7-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:79849239c39b5e1fd906556c474d9b0439ea6792b637511f3fe3a41158d89ca8", size = 1391879, upload-time = "2024-09-04T09:06:03.908Z" },
-    { url = "https://files.pythonhosted.org/packages/40/6f/d60770ef98e77b365d96061d090c0cd9e23418121c55fff188fa4bdf0b54/kiwisolver-1.4.7-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5e3bc157fed2a4c02ec468de4ecd12a6e22818d4f09cde2c31ee3226ffbefab2", size = 1504751, upload-time = "2024-09-04T09:06:05.58Z" },
-    { url = "https://files.pythonhosted.org/packages/fa/3a/5f38667d313e983c432f3fcd86932177519ed8790c724e07d77d1de0188a/kiwisolver-1.4.7-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3da53da805b71e41053dc670f9a820d1157aae77b6b944e08024d17bcd51ef88", size = 1436990, upload-time = "2024-09-04T09:06:08.126Z" },
-    { url = "https://files.pythonhosted.org/packages/cb/3b/1520301a47326e6a6043b502647e42892be33b3f051e9791cc8bb43f1a32/kiwisolver-1.4.7-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:8705f17dfeb43139a692298cb6637ee2e59c0194538153e83e9ee0c75c2eddde", size = 2191122, upload-time = "2024-09-04T09:06:10.345Z" },
-    { url = "https://files.pythonhosted.org/packages/cf/c4/eb52da300c166239a2233f1f9c4a1b767dfab98fae27681bfb7ea4873cb6/kiwisolver-1.4.7-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:82a5c2f4b87c26bb1a0ef3d16b5c4753434633b83d365cc0ddf2770c93829e3c", size = 2338126, upload-time = "2024-09-04T09:06:12.321Z" },
-    { url = "https://files.pythonhosted.org/packages/1a/cb/42b92fd5eadd708dd9107c089e817945500685f3437ce1fd387efebc6d6e/kiwisolver-1.4.7-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:ce8be0466f4c0d585cdb6c1e2ed07232221df101a4c6f28821d2aa754ca2d9e2", size = 2298313, upload-time = "2024-09-04T09:06:14.562Z" },
-    { url = "https://files.pythonhosted.org/packages/4f/eb/be25aa791fe5fc75a8b1e0c965e00f942496bc04635c9aae8035f6b76dcd/kiwisolver-1.4.7-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:409afdfe1e2e90e6ee7fc896f3df9a7fec8e793e58bfa0d052c8a82f99c37abb", size = 2437784, upload-time = "2024-09-04T09:06:16.767Z" },
-    { url = "https://files.pythonhosted.org/packages/c5/22/30a66be7f3368d76ff95689e1c2e28d382383952964ab15330a15d8bfd03/kiwisolver-1.4.7-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:5b9c3f4ee0b9a439d2415012bd1b1cc2df59e4d6a9939f4d669241d30b414327", size = 2253988, upload-time = "2024-09-04T09:06:18.705Z" },
-    { url = "https://files.pythonhosted.org/packages/35/d3/5f2ecb94b5211c8a04f218a76133cc8d6d153b0f9cd0b45fad79907f0689/kiwisolver-1.4.7-cp39-cp39-win32.whl", hash = "sha256:a79ae34384df2b615eefca647a2873842ac3b596418032bef9a7283675962644", size = 46980, upload-time = "2024-09-04T09:06:20.106Z" },
-    { url = "https://files.pythonhosted.org/packages/ef/17/cd10d020578764ea91740204edc6b3236ed8106228a46f568d716b11feb2/kiwisolver-1.4.7-cp39-cp39-win_amd64.whl", hash = "sha256:cf0438b42121a66a3a667de17e779330fc0f20b0d97d59d2f2121e182b0505e4", size = 55847, upload-time = "2024-09-04T09:06:21.407Z" },
-    { url = "https://files.pythonhosted.org/packages/91/84/32232502020bd78d1d12be7afde15811c64a95ed1f606c10456db4e4c3ac/kiwisolver-1.4.7-cp39-cp39-win_arm64.whl", hash = "sha256:764202cc7e70f767dab49e8df52c7455e8de0df5d858fa801a11aa0d882ccf3f", size = 48494, upload-time = "2024-09-04T09:06:22.648Z" },
-    { url = "https://files.pythonhosted.org/packages/ac/59/741b79775d67ab67ced9bb38552da688c0305c16e7ee24bba7a2be253fb7/kiwisolver-1.4.7-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:94252291e3fe68001b1dd747b4c0b3be12582839b95ad4d1b641924d68fd4643", size = 59491, upload-time = "2024-09-04T09:06:24.188Z" },
-    { url = "https://files.pythonhosted.org/packages/58/cc/fb239294c29a5656e99e3527f7369b174dd9cc7c3ef2dea7cb3c54a8737b/kiwisolver-1.4.7-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:5b7dfa3b546da08a9f622bb6becdb14b3e24aaa30adba66749d38f3cc7ea9706", size = 57648, upload-time = "2024-09-04T09:06:25.559Z" },
-    { url = "https://files.pythonhosted.org/packages/3b/ef/2f009ac1f7aab9f81efb2d837301d255279d618d27b6015780115ac64bdd/kiwisolver-1.4.7-pp310-pypy310_pp73-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:bd3de6481f4ed8b734da5df134cd5a6a64fe32124fe83dde1e5b5f29fe30b1e6", size = 84257, upload-time = "2024-09-04T09:06:27.038Z" },
-    { url = "https://files.pythonhosted.org/packages/81/e1/c64f50987f85b68b1c52b464bb5bf73e71570c0f7782d626d1eb283ad620/kiwisolver-1.4.7-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a91b5f9f1205845d488c928e8570dcb62b893372f63b8b6e98b863ebd2368ff2", size = 80906, upload-time = "2024-09-04T09:06:28.48Z" },
-    { url = "https://files.pythonhosted.org/packages/fd/71/1687c5c0a0be2cee39a5c9c389e546f9c6e215e46b691d00d9f646892083/kiwisolver-1.4.7-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:40fa14dbd66b8b8f470d5fc79c089a66185619d31645f9b0773b88b19f7223c4", size = 79951, upload-time = "2024-09-04T09:06:29.966Z" },
-    { url = "https://files.pythonhosted.org/packages/ea/8b/d7497df4a1cae9367adf21665dd1f896c2a7aeb8769ad77b662c5e2bcce7/kiwisolver-1.4.7-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:eb542fe7933aa09d8d8f9d9097ef37532a7df6497819d16efe4359890a2f417a", size = 55715, upload-time = "2024-09-04T09:06:31.489Z" },
-    { url = "https://files.pythonhosted.org/packages/d5/df/ce37d9b26f07ab90880923c94d12a6ff4d27447096b4c849bfc4339ccfdf/kiwisolver-1.4.7-pp39-pypy39_pp73-macosx_10_15_x86_64.whl", hash = "sha256:8b01aac285f91ca889c800042c35ad3b239e704b150cfd3382adfc9dcc780e39", size = 58666, upload-time = "2024-09-04T09:06:43.756Z" },
-    { url = "https://files.pythonhosted.org/packages/b0/d3/e4b04f43bc629ac8e186b77b2b1a251cdfa5b7610fa189dc0db622672ce6/kiwisolver-1.4.7-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:48be928f59a1f5c8207154f935334d374e79f2b5d212826307d072595ad76a2e", size = 57088, upload-time = "2024-09-04T09:06:45.406Z" },
-    { url = "https://files.pythonhosted.org/packages/30/1c/752df58e2d339e670a535514d2db4fe8c842ce459776b8080fbe08ebb98e/kiwisolver-1.4.7-pp39-pypy39_pp73-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f37cfe618a117e50d8c240555331160d73d0411422b59b5ee217843d7b693608", size = 84321, upload-time = "2024-09-04T09:06:47.557Z" },
-    { url = "https://files.pythonhosted.org/packages/f0/f8/fe6484e847bc6e238ec9f9828089fb2c0bb53f2f5f3a79351fde5b565e4f/kiwisolver-1.4.7-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:599b5c873c63a1f6ed7eead644a8a380cfbdf5db91dcb6f85707aaab213b1674", size = 80776, upload-time = "2024-09-04T09:06:49.235Z" },
-    { url = "https://files.pythonhosted.org/packages/9b/57/d7163c0379f250ef763aba85330a19feefb5ce6cb541ade853aaba881524/kiwisolver-1.4.7-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:801fa7802e5cfabe3ab0c81a34c323a319b097dfb5004be950482d882f3d7225", size = 79984, upload-time = "2024-09-04T09:06:51.336Z" },
-    { url = "https://files.pythonhosted.org/packages/8c/95/4a103776c265d13b3d2cd24fb0494d4e04ea435a8ef97e1b2c026d43250b/kiwisolver-1.4.7-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:0c6c43471bc764fad4bc99c5c2d6d16a676b1abf844ca7c8702bdae92df01ee0", size = 55811, upload-time = "2024-09-04T09:06:53.078Z" },
+dependencies = [
+    { name = "attrs" },
+    { name = "jsonschema-specifications" },
+    { name = "referencing" },
+    { name = "rpds-py" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/b3/fc/e067678238fa451312d4c62bf6e6cf5ec56375422aee02f9cb5f909b3047/jsonschema-4.26.0.tar.gz", hash = "sha256:0c26707e2efad8aa1bfc5b7ce170f3fccc2e4918ff85989ba9ffa9facb2be326", size = 366583, upload-time = "2026-01-07T13:41:07.246Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/69/90/f63fb5873511e014207a475e2bb4e8b2e570d655b00ac19a9a0ca0a385ee/jsonschema-4.26.0-py3-none-any.whl", hash = "sha256:d489f15263b8d200f8387e64b4c3a75f06629559fb73deb8fdfb525f2dab50ce", size = 90630, upload-time = "2026-01-07T13:41:05.306Z" },
+]
+
+[[package]]
+name = "jsonschema-specifications"
+version = "2025.9.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "referencing" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/19/74/a633ee74eb36c44aa6d1095e7cc5569bebf04342ee146178e2d36600708b/jsonschema_specifications-2025.9.1.tar.gz", hash = "sha256:b540987f239e745613c7a9176f3edb72b832a4ac465cf02712288397832b5e8d", size = 32855, upload-time = "2025-09-08T01:34:59.186Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/41/45/1a4ed80516f02155c51f51e8cedb3c1902296743db0bbc66608a0db2814f/jsonschema_specifications-2025.9.1-py3-none-any.whl", hash = "sha256:98802fee3a11ee76ecaca44429fda8a41bff98b00a0f2838151b113f210cc6fe", size = 18437, upload-time = "2025-09-08T01:34:57.871Z" },
+]
+
+[[package]]
+name = "jupyter-client"
+version = "8.8.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "jupyter-core" },
+    { name = "python-dateutil" },
+    { name = "pyzmq" },
+    { name = "tornado" },
+    { name = "traitlets" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/05/e4/ba649102a3bc3fbca54e7239fb924fd434c766f855693d86de0b1f2bec81/jupyter_client-8.8.0.tar.gz", hash = "sha256:d556811419a4f2d96c869af34e854e3f059b7cc2d6d01a9cd9c85c267691be3e", size = 348020, upload-time = "2026-01-08T13:55:47.938Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/2d/0b/ceb7694d864abc0a047649aec263878acb9f792e1fec3e676f22dc9015e3/jupyter_client-8.8.0-py3-none-any.whl", hash = "sha256:f93a5b99c5e23a507b773d3a1136bd6e16c67883ccdbd9a829b0bbdb98cd7d7a", size = 107371, upload-time = "2026-01-08T13:55:45.562Z" },
+]
+
+[[package]]
+name = "jupyter-core"
+version = "5.9.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "platformdirs" },
+    { name = "traitlets" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/02/49/9d1284d0dc65e2c757b74c6687b6d319b02f822ad039e5c512df9194d9dd/jupyter_core-5.9.1.tar.gz", hash = "sha256:4d09aaff303b9566c3ce657f580bd089ff5c91f5f89cf7d8846c3cdf465b5508", size = 89814, upload-time = "2025-10-16T19:19:18.444Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/e7/e7/80988e32bf6f73919a113473a604f5a8f09094de312b9d52b79c2df7612b/jupyter_core-5.9.1-py3-none-any.whl", hash = "sha256:ebf87fdc6073d142e114c72c9e29a9d7ca03fad818c5d300ce2adc1fb0743407", size = 29032, upload-time = "2025-10-16T19:19:16.783Z" },
+]
+
+[[package]]
+name = "jupyterlab-pygments"
+version = "0.3.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/90/51/9187be60d989df97f5f0aba133fa54e7300f17616e065d1ada7d7646b6d6/jupyterlab_pygments-0.3.0.tar.gz", hash = "sha256:721aca4d9029252b11cfa9d185e5b5af4d54772bb8072f9b7036f4170054d35d", size = 512900, upload-time = "2023-11-23T09:26:37.44Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/b1/dd/ead9d8ea85bf202d90cc513b533f9c363121c7792674f78e0d8a854b63b4/jupyterlab_pygments-0.3.0-py3-none-any.whl", hash = "sha256:841a89020971da1d8693f1a99997aefc5dc424bb1b251fd6322462a1b8842780", size = 15884, upload-time = "2023-11-23T09:26:34.325Z" },
 ]
 
 [[package]]
 name = "kiwisolver"
 version = "1.4.8"
 source = { registry = "https://pypi.org/simple" }
-resolution-markers = [
-    "python_full_version >= '3.12'",
-    "python_full_version == '3.11.*'",
-    "python_full_version == '3.10.*'",
-]
 sdist = { url = "https://files.pythonhosted.org/packages/82/59/7c91426a8ac292e1cdd53a63b6d9439abd573c875c3f92c146767dd33faf/kiwisolver-1.4.8.tar.gz", hash = "sha256:23d5f023bdc8c7e54eb65f03ca5d5bb25b601eac4d7f1a042888a1f45237987e", size = 97538, upload-time = "2024-12-24T18:30:51.519Z" }
 wheels = [
     { url = "https://files.pythonhosted.org/packages/47/5f/4d8e9e852d98ecd26cdf8eaf7ed8bc33174033bba5e07001b289f07308fd/kiwisolver-1.4.8-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:88c6f252f6816a73b1f8c904f7bbe02fd67c09a69f7cb8a0eecdbf5ce78e63db", size = 124623, upload-time = "2024-12-24T18:28:17.687Z" },
@@ -1051,9 +898,6 @@ wheels = [
 name = "markdown"
 version = "3.8"
 source = { registry = "https://pypi.org/simple" }
-dependencies = [
-    { name = "importlib-metadata", marker = "python_full_version < '3.10'" },
-]
 sdist = { url = "https://files.pythonhosted.org/packages/2f/15/222b423b0b88689c266d9eac4e61396fe2cc53464459d6a37618ac863b24/markdown-3.8.tar.gz", hash = "sha256:7df81e63f0df5c4b24b7d156eb81e4690595239b7d70937d0409f1b0de319c6f", size = 360906, upload-time = "2025-04-11T14:42:50.928Z" }
 wheels = [
     { url = "https://files.pythonhosted.org/packages/51/3f/afe76f8e2246ffbc867440cbcf90525264df0e658f8a5ca1f872b3f6192a/markdown-3.8-py3-none-any.whl", hash = "sha256:794a929b79c5af141ef5ab0f2f642d0f7b1872981250230e72682346f7cc90dc", size = 106210, upload-time = "2025-04-11T14:42:49.178Z" },
@@ -1115,100 +959,22 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/0d/80/0985960e4b89922cb5a0bac0ed39c5b96cbc1a536a99f30e8c220a996ed9/MarkupSafe-3.0.2-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:131a3c7689c85f5ad20f9f6fb1b866f402c445b220c19fe4308c0b147ccd2ad9", size = 24098, upload-time = "2024-10-18T15:21:40.813Z" },
     { url = "https://files.pythonhosted.org/packages/82/78/fedb03c7d5380df2427038ec8d973587e90561b2d90cd472ce9254cf348b/MarkupSafe-3.0.2-cp313-cp313t-win32.whl", hash = "sha256:ba8062ed2cf21c07a9e295d5b8a2a5ce678b913b45fdf68c32d95d6c1291e0b6", size = 15208, upload-time = "2024-10-18T15:21:41.814Z" },
     { url = "https://files.pythonhosted.org/packages/4f/65/6079a46068dfceaeabb5dcad6d674f5f5c61a6fa5673746f42a9f4c233b3/MarkupSafe-3.0.2-cp313-cp313t-win_amd64.whl", hash = "sha256:e444a31f8db13eb18ada366ab3cf45fd4b31e4db1236a4448f68778c1d1a5a2f", size = 15739, upload-time = "2024-10-18T15:21:42.784Z" },
-    { url = "https://files.pythonhosted.org/packages/a7/ea/9b1530c3fdeeca613faeb0fb5cbcf2389d816072fab72a71b45749ef6062/MarkupSafe-3.0.2-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:eaa0a10b7f72326f1372a713e73c3f739b524b3af41feb43e4921cb529f5929a", size = 14344, upload-time = "2024-10-18T15:21:43.721Z" },
-    { url = "https://files.pythonhosted.org/packages/4b/c2/fbdbfe48848e7112ab05e627e718e854d20192b674952d9042ebd8c9e5de/MarkupSafe-3.0.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:48032821bbdf20f5799ff537c7ac3d1fba0ba032cfc06194faffa8cda8b560ff", size = 12389, upload-time = "2024-10-18T15:21:44.666Z" },
-    { url = "https://files.pythonhosted.org/packages/f0/25/7a7c6e4dbd4f867d95d94ca15449e91e52856f6ed1905d58ef1de5e211d0/MarkupSafe-3.0.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1a9d3f5f0901fdec14d8d2f66ef7d035f2157240a433441719ac9a3fba440b13", size = 21607, upload-time = "2024-10-18T15:21:45.452Z" },
-    { url = "https://files.pythonhosted.org/packages/53/8f/f339c98a178f3c1e545622206b40986a4c3307fe39f70ccd3d9df9a9e425/MarkupSafe-3.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:88b49a3b9ff31e19998750c38e030fc7bb937398b1f78cfa599aaef92d693144", size = 20728, upload-time = "2024-10-18T15:21:46.295Z" },
-    { url = "https://files.pythonhosted.org/packages/1a/03/8496a1a78308456dbd50b23a385c69b41f2e9661c67ea1329849a598a8f9/MarkupSafe-3.0.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:cfad01eed2c2e0c01fd0ecd2ef42c492f7f93902e39a42fc9ee1692961443a29", size = 20826, upload-time = "2024-10-18T15:21:47.134Z" },
-    { url = "https://files.pythonhosted.org/packages/e6/cf/0a490a4bd363048c3022f2f475c8c05582179bb179defcee4766fb3dcc18/MarkupSafe-3.0.2-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:1225beacc926f536dc82e45f8a4d68502949dc67eea90eab715dea3a21c1b5f0", size = 21843, upload-time = "2024-10-18T15:21:48.334Z" },
-    { url = "https://files.pythonhosted.org/packages/19/a3/34187a78613920dfd3cdf68ef6ce5e99c4f3417f035694074beb8848cd77/MarkupSafe-3.0.2-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:3169b1eefae027567d1ce6ee7cae382c57fe26e82775f460f0b2778beaad66c0", size = 21219, upload-time = "2024-10-18T15:21:49.587Z" },
-    { url = "https://files.pythonhosted.org/packages/17/d8/5811082f85bb88410ad7e452263af048d685669bbbfb7b595e8689152498/MarkupSafe-3.0.2-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:eb7972a85c54febfb25b5c4b4f3af4dcc731994c7da0d8a0b4a6eb0640e1d178", size = 20946, upload-time = "2024-10-18T15:21:50.441Z" },
-    { url = "https://files.pythonhosted.org/packages/7c/31/bd635fb5989440d9365c5e3c47556cfea121c7803f5034ac843e8f37c2f2/MarkupSafe-3.0.2-cp39-cp39-win32.whl", hash = "sha256:8c4e8c3ce11e1f92f6536ff07154f9d49677ebaaafc32db9db4620bc11ed480f", size = 15063, upload-time = "2024-10-18T15:21:51.385Z" },
-    { url = "https://files.pythonhosted.org/packages/b3/73/085399401383ce949f727afec55ec3abd76648d04b9f22e1c0e99cb4bec3/MarkupSafe-3.0.2-cp39-cp39-win_amd64.whl", hash = "sha256:6e296a513ca3d94054c2c881cc913116e90fd030ad1c656b3869762b754f5f8a", size = 15506, upload-time = "2024-10-18T15:21:52.974Z" },
-]
-
-[[package]]
-name = "matplotlib"
-version = "3.9.4"
-source = { registry = "https://pypi.org/simple" }
-resolution-markers = [
-    "python_full_version < '3.10'",
-]
-dependencies = [
-    { name = "contourpy", version = "1.3.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.10'" },
-    { name = "cycler", marker = "python_full_version < '3.10'" },
-    { name = "fonttools", marker = "python_full_version < '3.10'" },
-    { name = "importlib-resources", marker = "python_full_version < '3.10'" },
-    { name = "kiwisolver", version = "1.4.7", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.10'" },
-    { name = "numpy", version = "2.0.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.10'" },
-    { name = "packaging", marker = "python_full_version < '3.10'" },
-    { name = "pillow", marker = "python_full_version < '3.10'" },
-    { name = "pyparsing", marker = "python_full_version < '3.10'" },
-    { name = "python-dateutil", marker = "python_full_version < '3.10'" },
-]
-sdist = { url = "https://files.pythonhosted.org/packages/df/17/1747b4154034befd0ed33b52538f5eb7752d05bb51c5e2a31470c3bc7d52/matplotlib-3.9.4.tar.gz", hash = "sha256:1e00e8be7393cbdc6fedfa8a6fba02cf3e83814b285db1c60b906a023ba41bc3", size = 36106529, upload-time = "2024-12-13T05:56:34.184Z" }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/7e/94/27d2e2c30d54b56c7b764acc1874a909e34d1965a427fc7092bb6a588b63/matplotlib-3.9.4-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:c5fdd7abfb706dfa8d307af64a87f1a862879ec3cd8d0ec8637458f0885b9c50", size = 7885089, upload-time = "2024-12-13T05:54:24.224Z" },
-    { url = "https://files.pythonhosted.org/packages/c6/25/828273307e40a68eb8e9df832b6b2aaad075864fdc1de4b1b81e40b09e48/matplotlib-3.9.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:d89bc4e85e40a71d1477780366c27fb7c6494d293e1617788986f74e2a03d7ff", size = 7770600, upload-time = "2024-12-13T05:54:27.214Z" },
-    { url = "https://files.pythonhosted.org/packages/f2/65/f841a422ec994da5123368d76b126acf4fc02ea7459b6e37c4891b555b83/matplotlib-3.9.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ddf9f3c26aae695c5daafbf6b94e4c1a30d6cd617ba594bbbded3b33a1fcfa26", size = 8200138, upload-time = "2024-12-13T05:54:29.497Z" },
-    { url = "https://files.pythonhosted.org/packages/07/06/272aca07a38804d93b6050813de41ca7ab0e29ba7a9dd098e12037c919a9/matplotlib-3.9.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:18ebcf248030173b59a868fda1fe42397253f6698995b55e81e1f57431d85e50", size = 8312711, upload-time = "2024-12-13T05:54:34.396Z" },
-    { url = "https://files.pythonhosted.org/packages/98/37/f13e23b233c526b7e27ad61be0a771894a079e0f7494a10d8d81557e0e9a/matplotlib-3.9.4-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:974896ec43c672ec23f3f8c648981e8bc880ee163146e0312a9b8def2fac66f5", size = 9090622, upload-time = "2024-12-13T05:54:36.808Z" },
-    { url = "https://files.pythonhosted.org/packages/4f/8c/b1f5bd2bd70e60f93b1b54c4d5ba7a992312021d0ddddf572f9a1a6d9348/matplotlib-3.9.4-cp310-cp310-win_amd64.whl", hash = "sha256:4598c394ae9711cec135639374e70871fa36b56afae17bdf032a345be552a88d", size = 7828211, upload-time = "2024-12-13T05:54:40.596Z" },
-    { url = "https://files.pythonhosted.org/packages/74/4b/65be7959a8fa118a3929b49a842de5b78bb55475236fcf64f3e308ff74a0/matplotlib-3.9.4-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:d4dd29641d9fb8bc4492420c5480398dd40a09afd73aebe4eb9d0071a05fbe0c", size = 7894430, upload-time = "2024-12-13T05:54:44.049Z" },
-    { url = "https://files.pythonhosted.org/packages/e9/18/80f70d91896e0a517b4a051c3fd540daa131630fd75e02e250365353b253/matplotlib-3.9.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:30e5b22e8bcfb95442bf7d48b0d7f3bdf4a450cbf68986ea45fca3d11ae9d099", size = 7780045, upload-time = "2024-12-13T05:54:46.414Z" },
-    { url = "https://files.pythonhosted.org/packages/a2/73/ccb381026e3238c5c25c3609ba4157b2d1a617ec98d65a8b4ee4e1e74d02/matplotlib-3.9.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2bb0030d1d447fd56dcc23b4c64a26e44e898f0416276cac1ebc25522e0ac249", size = 8209906, upload-time = "2024-12-13T05:54:49.459Z" },
-    { url = "https://files.pythonhosted.org/packages/ab/33/1648da77b74741c89f5ea95cbf42a291b4b364f2660b316318811404ed97/matplotlib-3.9.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:aca90ed222ac3565d2752b83dbb27627480d27662671e4d39da72e97f657a423", size = 8322873, upload-time = "2024-12-13T05:54:53.066Z" },
-    { url = "https://files.pythonhosted.org/packages/57/d3/8447ba78bc6593c9044c372d1609f8ea10fb1e071e7a9e0747bea74fc16c/matplotlib-3.9.4-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:a181b2aa2906c608fcae72f977a4a2d76e385578939891b91c2550c39ecf361e", size = 9099566, upload-time = "2024-12-13T05:54:55.522Z" },
-    { url = "https://files.pythonhosted.org/packages/23/e1/4f0e237bf349c02ff9d1b6e7109f1a17f745263809b9714a8576dc17752b/matplotlib-3.9.4-cp311-cp311-win_amd64.whl", hash = "sha256:1f6882828231eca17f501c4dcd98a05abb3f03d157fbc0769c6911fe08b6cfd3", size = 7838065, upload-time = "2024-12-13T05:54:58.337Z" },
-    { url = "https://files.pythonhosted.org/packages/1a/2b/c918bf6c19d6445d1cefe3d2e42cb740fb997e14ab19d4daeb6a7ab8a157/matplotlib-3.9.4-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:dfc48d67e6661378a21c2983200a654b72b5c5cdbd5d2cf6e5e1ece860f0cc70", size = 7891131, upload-time = "2024-12-13T05:55:02.837Z" },
-    { url = "https://files.pythonhosted.org/packages/c1/e5/b4e8fc601ca302afeeabf45f30e706a445c7979a180e3a978b78b2b681a4/matplotlib-3.9.4-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:47aef0fab8332d02d68e786eba8113ffd6f862182ea2999379dec9e237b7e483", size = 7776365, upload-time = "2024-12-13T05:55:05.158Z" },
-    { url = "https://files.pythonhosted.org/packages/99/06/b991886c506506476e5d83625c5970c656a491b9f80161458fed94597808/matplotlib-3.9.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fba1f52c6b7dc764097f52fd9ab627b90db452c9feb653a59945de16752e965f", size = 8200707, upload-time = "2024-12-13T05:55:09.48Z" },
-    { url = "https://files.pythonhosted.org/packages/c3/e2/556b627498cb27e61026f2d1ba86a78ad1b836fef0996bef5440e8bc9559/matplotlib-3.9.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:173ac3748acaac21afcc3fa1633924609ba1b87749006bc25051c52c422a5d00", size = 8313761, upload-time = "2024-12-13T05:55:12.95Z" },
-    { url = "https://files.pythonhosted.org/packages/58/ff/165af33ec766ff818306ea88e91f9f60d2a6ed543be1eb122a98acbf3b0d/matplotlib-3.9.4-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:320edea0cadc07007765e33f878b13b3738ffa9745c5f707705692df70ffe0e0", size = 9095284, upload-time = "2024-12-13T05:55:16.199Z" },
-    { url = "https://files.pythonhosted.org/packages/9f/8b/3d0c7a002db3b1ed702731c2a9a06d78d035f1f2fb0fb936a8e43cc1e9f4/matplotlib-3.9.4-cp312-cp312-win_amd64.whl", hash = "sha256:a4a4cfc82330b27042a7169533da7991e8789d180dd5b3daeaee57d75cd5a03b", size = 7841160, upload-time = "2024-12-13T05:55:19.991Z" },
-    { url = "https://files.pythonhosted.org/packages/49/b1/999f89a7556d101b23a2f0b54f1b6e140d73f56804da1398f2f0bc0924bc/matplotlib-3.9.4-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:37eeffeeca3c940985b80f5b9a7b95ea35671e0e7405001f249848d2b62351b6", size = 7891499, upload-time = "2024-12-13T05:55:22.142Z" },
-    { url = "https://files.pythonhosted.org/packages/87/7b/06a32b13a684977653396a1bfcd34d4e7539c5d55c8cbfaa8ae04d47e4a9/matplotlib-3.9.4-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:3e7465ac859ee4abcb0d836137cd8414e7bb7ad330d905abced457217d4f0f45", size = 7776802, upload-time = "2024-12-13T05:55:25.947Z" },
-    { url = "https://files.pythonhosted.org/packages/65/87/ac498451aff739e515891bbb92e566f3c7ef31891aaa878402a71f9b0910/matplotlib-3.9.4-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f4c12302c34afa0cf061bea23b331e747e5e554b0fa595c96e01c7b75bc3b858", size = 8200802, upload-time = "2024-12-13T05:55:28.461Z" },
-    { url = "https://files.pythonhosted.org/packages/f8/6b/9eb761c00e1cb838f6c92e5f25dcda3f56a87a52f6cb8fdfa561e6cf6a13/matplotlib-3.9.4-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2b8c97917f21b75e72108b97707ba3d48f171541a74aa2a56df7a40626bafc64", size = 8313880, upload-time = "2024-12-13T05:55:30.965Z" },
-    { url = "https://files.pythonhosted.org/packages/d7/a2/c8eaa600e2085eec7e38cbbcc58a30fc78f8224939d31d3152bdafc01fd1/matplotlib-3.9.4-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:0229803bd7e19271b03cb09f27db76c918c467aa4ce2ae168171bc67c3f508df", size = 9094637, upload-time = "2024-12-13T05:55:33.701Z" },
-    { url = "https://files.pythonhosted.org/packages/71/1f/c6e1daea55b7bfeb3d84c6cb1abc449f6a02b181e7e2a5e4db34c3afb793/matplotlib-3.9.4-cp313-cp313-win_amd64.whl", hash = "sha256:7c0d8ef442ebf56ff5e206f8083d08252ee738e04f3dc88ea882853a05488799", size = 7841311, upload-time = "2024-12-13T05:55:36.737Z" },
-    { url = "https://files.pythonhosted.org/packages/c0/3a/2757d3f7d388b14dd48f5a83bea65b6d69f000e86b8f28f74d86e0d375bd/matplotlib-3.9.4-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:a04c3b00066a688834356d196136349cb32f5e1003c55ac419e91585168b88fb", size = 7919989, upload-time = "2024-12-13T05:55:39.024Z" },
-    { url = "https://files.pythonhosted.org/packages/24/28/f5077c79a4f521589a37fe1062d6a6ea3534e068213f7357e7cfffc2e17a/matplotlib-3.9.4-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:04c519587f6c210626741a1e9a68eefc05966ede24205db8982841826af5871a", size = 7809417, upload-time = "2024-12-13T05:55:42.412Z" },
-    { url = "https://files.pythonhosted.org/packages/36/c8/c523fd2963156692916a8eb7d4069084cf729359f7955cf09075deddfeaf/matplotlib-3.9.4-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:308afbf1a228b8b525fcd5cec17f246bbbb63b175a3ef6eb7b4d33287ca0cf0c", size = 8226258, upload-time = "2024-12-13T05:55:47.259Z" },
-    { url = "https://files.pythonhosted.org/packages/f6/88/499bf4b8fa9349b6f5c0cf4cead0ebe5da9d67769129f1b5651e5ac51fbc/matplotlib-3.9.4-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ddb3b02246ddcffd3ce98e88fed5b238bc5faff10dbbaa42090ea13241d15764", size = 8335849, upload-time = "2024-12-13T05:55:49.763Z" },
-    { url = "https://files.pythonhosted.org/packages/b8/9f/20a4156b9726188646a030774ee337d5ff695a965be45ce4dbcb9312c170/matplotlib-3.9.4-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:8a75287e9cb9eee48cb79ec1d806f75b29c0fde978cb7223a1f4c5848d696041", size = 9102152, upload-time = "2024-12-13T05:55:51.997Z" },
-    { url = "https://files.pythonhosted.org/packages/10/11/237f9c3a4e8d810b1759b67ff2da7c32c04f9c80aa475e7beb36ed43a8fb/matplotlib-3.9.4-cp313-cp313t-win_amd64.whl", hash = "sha256:488deb7af140f0ba86da003e66e10d55ff915e152c78b4b66d231638400b1965", size = 7896987, upload-time = "2024-12-13T05:55:55.941Z" },
-    { url = "https://files.pythonhosted.org/packages/56/eb/501b465c9fef28f158e414ea3a417913dc2ac748564c7ed41535f23445b4/matplotlib-3.9.4-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:3c3724d89a387ddf78ff88d2a30ca78ac2b4c89cf37f2db4bd453c34799e933c", size = 7885919, upload-time = "2024-12-13T05:55:59.66Z" },
-    { url = "https://files.pythonhosted.org/packages/da/36/236fbd868b6c91309a5206bd90c3f881f4f44b2d997cd1d6239ef652f878/matplotlib-3.9.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:d5f0a8430ffe23d7e32cfd86445864ccad141797f7d25b7c41759a5b5d17cfd7", size = 7771486, upload-time = "2024-12-13T05:56:04.264Z" },
-    { url = "https://files.pythonhosted.org/packages/e0/4b/105caf2d54d5ed11d9f4335398f5103001a03515f2126c936a752ccf1461/matplotlib-3.9.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6bb0141a21aef3b64b633dc4d16cbd5fc538b727e4958be82a0e1c92a234160e", size = 8201838, upload-time = "2024-12-13T05:56:06.792Z" },
-    { url = "https://files.pythonhosted.org/packages/5d/a7/bb01188fb4013d34d274caf44a2f8091255b0497438e8b6c0a7c1710c692/matplotlib-3.9.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:57aa235109e9eed52e2c2949db17da185383fa71083c00c6c143a60e07e0888c", size = 8314492, upload-time = "2024-12-13T05:56:09.964Z" },
-    { url = "https://files.pythonhosted.org/packages/33/19/02e1a37f7141fc605b193e927d0a9cdf9dc124a20b9e68793f4ffea19695/matplotlib-3.9.4-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:b18c600061477ccfdd1e6fd050c33d8be82431700f3452b297a56d9ed7037abb", size = 9092500, upload-time = "2024-12-13T05:56:13.55Z" },
-    { url = "https://files.pythonhosted.org/packages/57/68/c2feb4667adbf882ffa4b3e0ac9967f848980d9f8b5bebd86644aa67ce6a/matplotlib-3.9.4-cp39-cp39-win_amd64.whl", hash = "sha256:ef5f2d1b67d2d2145ff75e10f8c008bfbf71d45137c4b648c87193e7dd053eac", size = 7822962, upload-time = "2024-12-13T05:56:16.358Z" },
-    { url = "https://files.pythonhosted.org/packages/0c/22/2ef6a364cd3f565442b0b055e0599744f1e4314ec7326cdaaa48a4d864d7/matplotlib-3.9.4-pp39-pypy39_pp73-macosx_10_15_x86_64.whl", hash = "sha256:44e0ed786d769d85bc787b0606a53f2d8d2d1d3c8a2608237365e9121c1a338c", size = 7877995, upload-time = "2024-12-13T05:56:18.805Z" },
-    { url = "https://files.pythonhosted.org/packages/87/b8/2737456e566e9f4d94ae76b8aa0d953d9acb847714f9a7ad80184474f5be/matplotlib-3.9.4-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:09debb9ce941eb23ecdbe7eab972b1c3e0276dcf01688073faff7b0f61d6c6ca", size = 7769300, upload-time = "2024-12-13T05:56:21.315Z" },
-    { url = "https://files.pythonhosted.org/packages/b2/1f/e709c6ec7b5321e6568769baa288c7178e60a93a9da9e682b39450da0e29/matplotlib-3.9.4-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bcc53cf157a657bfd03afab14774d54ba73aa84d42cfe2480c91bd94873952db", size = 8313423, upload-time = "2024-12-13T05:56:26.719Z" },
-    { url = "https://files.pythonhosted.org/packages/5e/b6/5a1f868782cd13f053a679984e222007ecff654a9bfbac6b27a65f4eeb05/matplotlib-3.9.4-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:ad45da51be7ad02387801fd154ef74d942f49fe3fcd26a64c94842ba7ec0d865", size = 7854624, upload-time = "2024-12-13T05:56:29.359Z" },
 ]
 
 [[package]]
 name = "matplotlib"
 version = "3.10.3"
 source = { registry = "https://pypi.org/simple" }
-resolution-markers = [
-    "python_full_version >= '3.12'",
-    "python_full_version == '3.11.*'",
-    "python_full_version == '3.10.*'",
-]
 dependencies = [
-    { name = "contourpy", version = "1.3.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.10'" },
-    { name = "cycler", marker = "python_full_version >= '3.10'" },
-    { name = "fonttools", marker = "python_full_version >= '3.10'" },
-    { name = "kiwisolver", version = "1.4.8", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.10'" },
-    { name = "numpy", version = "2.2.5", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.10'" },
-    { name = "packaging", marker = "python_full_version >= '3.10'" },
-    { name = "pillow", marker = "python_full_version >= '3.10'" },
-    { name = "pyparsing", marker = "python_full_version >= '3.10'" },
-    { name = "python-dateutil", marker = "python_full_version >= '3.10'" },
+    { name = "contourpy" },
+    { name = "cycler" },
+    { name = "fonttools" },
+    { name = "kiwisolver" },
+    { name = "numpy" },
+    { name = "packaging" },
+    { name = "pillow" },
+    { name = "pyparsing" },
+    { name = "python-dateutil" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/26/91/d49359a21893183ed2a5b6c76bec40e0b1dcbf8ca148f864d134897cfc75/matplotlib-3.10.3.tar.gz", hash = "sha256:2f82d2c5bb7ae93aaaa4cd42aca65d76ce6376f83304fa3a630b569aca274df0", size = 34799811, upload-time = "2025-05-08T19:10:54.39Z" }
 wheels = [
@@ -1275,16 +1041,26 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/fd/1a/31b7cd6e4e7a02df4e076162e9783620777592bea9e4bb036389389af99d/mike-2.1.3-py3-none-any.whl", hash = "sha256:d90c64077e84f06272437b464735130d380703a76a5738b152932884c60c062a", size = 33754, upload-time = "2024-08-13T05:02:12.515Z" },
 ]
 
+[[package]]
+name = "mistune"
+version = "3.2.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "typing-extensions", marker = "python_full_version < '3.11'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/9d/55/d01f0c4b45ade6536c51170b9043db8b2ec6ddf4a35c7ea3f5f559ac935b/mistune-3.2.0.tar.gz", hash = "sha256:708487c8a8cdd99c9d90eb3ed4c3ed961246ff78ac82f03418f5183ab70e398a", size = 95467, upload-time = "2025-12-23T11:36:34.994Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/9b/f7/4a5e785ec9fbd65146a27b6b70b6cdc161a66f2024e4b04ac06a67f5578b/mistune-3.2.0-py3-none-any.whl", hash = "sha256:febdc629a3c78616b94393c6580551e0e34cc289987ec6c35ed3f4be42d0eee1", size = 53598, upload-time = "2025-12-23T11:36:33.211Z" },
+]
+
 [[package]]
 name = "mkdocs"
 version = "1.6.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "click", version = "8.1.8", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.10'" },
-    { name = "click", version = "8.2.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.10'" },
+    { name = "click" },
     { name = "colorama", marker = "sys_platform == 'win32'" },
     { name = "ghp-import" },
-    { name = "importlib-metadata", marker = "python_full_version < '3.10'" },
     { name = "jinja2" },
     { name = "markdown" },
     { name = "markupsafe" },
@@ -1332,7 +1108,6 @@ name = "mkdocs-get-deps"
 version = "0.2.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "importlib-metadata", marker = "python_full_version < '3.10'" },
     { name = "mergedeep" },
     { name = "platformdirs" },
     { name = "pyyaml" },
@@ -1387,10 +1162,9 @@ wheels = [
 
 [[package]]
 name = "mkdocstrings"
-version = "0.29.1"
+version = "1.0.3"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "importlib-metadata", marker = "python_full_version < '3.10'" },
     { name = "jinja2" },
     { name = "markdown" },
     { name = "markupsafe" },
@@ -1398,110 +1172,113 @@ dependencies = [
     { name = "mkdocs-autorefs" },
     { name = "pymdown-extensions" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/41/e8/d22922664a627a0d3d7ff4a6ca95800f5dde54f411982591b4621a76225d/mkdocstrings-0.29.1.tar.gz", hash = "sha256:8722f8f8c5cd75da56671e0a0c1bbed1df9946c0cef74794d6141b34011abd42", size = 1212686, upload-time = "2025-03-31T08:33:11.997Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/46/62/0dfc5719514115bf1781f44b1d7f2a0923fcc01e9c5d7990e48a05c9ae5d/mkdocstrings-1.0.3.tar.gz", hash = "sha256:ab670f55040722b49bb45865b2e93b824450fb4aef638b00d7acb493a9020434", size = 100946, upload-time = "2026-02-07T14:31:40.973Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/98/14/22533a578bf8b187e05d67e2c1721ce10e3f526610eebaf7a149d557ea7a/mkdocstrings-0.29.1-py3-none-any.whl", hash = "sha256:37a9736134934eea89cbd055a513d40a020d87dfcae9e3052c2a6b8cd4af09b6", size = 1631075, upload-time = "2025-03-31T08:33:09.661Z" },
-]
-
-[package.optional-dependencies]
-python = [
-    { name = "mkdocstrings-python" },
+    { url = "https://files.pythonhosted.org/packages/04/41/1cf02e3df279d2dd846a1bf235a928254eba9006dd22b4a14caa71aed0f7/mkdocstrings-1.0.3-py3-none-any.whl", hash = "sha256:0d66d18430c2201dc7fe85134277382baaa15e6b30979f3f3bdbabd6dbdb6046", size = 35523, upload-time = "2026-02-07T14:31:39.27Z" },
 ]
 
 [[package]]
 name = "mkdocstrings-python"
-version = "1.16.10"
+version = "2.0.3"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "griffe" },
+    { name = "griffelib" },
     { name = "mkdocs-autorefs" },
     { name = "mkdocstrings" },
     { name = "typing-extensions", marker = "python_full_version < '3.11'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/44/c8/600c4201b6b9e72bab16802316d0c90ce04089f8e6bb5e064cd2a5abba7e/mkdocstrings_python-1.16.10.tar.gz", hash = "sha256:f9eedfd98effb612ab4d0ed6dd2b73aff6eba5215e0a65cea6d877717f75502e", size = 205771, upload-time = "2025-04-03T14:24:48.12Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/29/33/c225eaf898634bdda489a6766fc35d1683c640bffe0e0acd10646b13536d/mkdocstrings_python-2.0.3.tar.gz", hash = "sha256:c518632751cc869439b31c9d3177678ad2bfa5c21b79b863956ad68fc92c13b8", size = 199083, upload-time = "2026-02-20T10:38:36.368Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/53/37/19549c5e0179785308cc988a68e16aa7550e4e270ec8a9878334e86070c6/mkdocstrings_python-1.16.10-py3-none-any.whl", hash = "sha256:63bb9f01f8848a644bdb6289e86dc38ceddeaa63ecc2e291e3b2ca52702a6643", size = 124112, upload-time = "2025-04-03T14:24:46.561Z" },
+    { url = "https://files.pythonhosted.org/packages/32/28/79f0f8de97cce916d5ae88a7bee1ad724855e83e6019c0b4d5b3fabc80f3/mkdocstrings_python-2.0.3-py3-none-any.whl", hash = "sha256:0b83513478bdfd803ff05aa43e9b1fca9dd22bcd9471f09ca6257f009bc5ee12", size = 104779, upload-time = "2026-02-20T10:38:34.517Z" },
 ]
 
 [[package]]
-name = "nmrglue"
-version = "0.11"
+name = "mknotebooks"
+version = "0.8.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "numpy", version = "2.0.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.10'" },
-    { name = "numpy", version = "2.2.5", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.10'" },
-    { name = "scipy", version = "1.13.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.10'" },
-    { name = "scipy", version = "1.15.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.10'" },
+    { name = "gitpython" },
+    { name = "jupyter-client" },
+    { name = "markdown" },
+    { name = "mkdocs" },
+    { name = "nbconvert" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/77/82/2101ea5440d357641b234a092b53177974d84b507f9e69fc09e3e7997639/nmrglue-0.11.tar.gz", hash = "sha256:9e740a02d34ce5df9eb0390274c6a5f37b4837d59139512a3dd169106a8e3fe1", size = 205874, upload-time = "2024-10-29T21:07:20.314Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/cb/e4/79b679185d83a7b2513997203afd6c23359063d97738968f51d34e3ee9c8/nmrglue-0.11-py2.py3-none-any.whl", hash = "sha256:6e698b07cd71d12034664a3414ce0bb7bf5cd87cf750b03e33e439fb31dc13bd", size = 226135, upload-time = "2024-10-29T21:07:18.669Z" },
+    { url = "https://files.pythonhosted.org/packages/54/40/2f69d9858c06d3fd9232fe7ead0c828cc3d64783edb98476782a7f125977/mknotebooks-0.8.0-py3-none-any.whl", hash = "sha256:4a9b998260c09bcc311455a19a44cc395a30ee82dc1e86e3316dd09f2445ebd3", size = 13230, upload-time = "2023-08-07T10:01:06.289Z" },
 ]
 
 [[package]]
-name = "numpy"
-version = "2.0.2"
+name = "nbclient"
+version = "0.10.4"
 source = { registry = "https://pypi.org/simple" }
-resolution-markers = [
-    "python_full_version < '3.10'",
-]
-sdist = { url = "https://files.pythonhosted.org/packages/a9/75/10dd1f8116a8b796cb2c737b674e02d02e80454bda953fa7e65d8c12b016/numpy-2.0.2.tar.gz", hash = "sha256:883c987dee1880e2a864ab0dc9892292582510604156762362d9326444636e78", size = 18902015, upload-time = "2024-08-26T20:19:40.945Z" }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/21/91/3495b3237510f79f5d81f2508f9f13fea78ebfdf07538fc7444badda173d/numpy-2.0.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:51129a29dbe56f9ca83438b706e2e69a39892b5eda6cedcb6b0c9fdc9b0d3ece", size = 21165245, upload-time = "2024-08-26T20:04:14.625Z" },
-    { url = "https://files.pythonhosted.org/packages/05/33/26178c7d437a87082d11019292dce6d3fe6f0e9026b7b2309cbf3e489b1d/numpy-2.0.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f15975dfec0cf2239224d80e32c3170b1d168335eaedee69da84fbe9f1f9cd04", size = 13738540, upload-time = "2024-08-26T20:04:36.784Z" },
-    { url = "https://files.pythonhosted.org/packages/ec/31/cc46e13bf07644efc7a4bf68df2df5fb2a1a88d0cd0da9ddc84dc0033e51/numpy-2.0.2-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:8c5713284ce4e282544c68d1c3b2c7161d38c256d2eefc93c1d683cf47683e66", size = 5300623, upload-time = "2024-08-26T20:04:46.491Z" },
-    { url = "https://files.pythonhosted.org/packages/6e/16/7bfcebf27bb4f9d7ec67332ffebee4d1bf085c84246552d52dbb548600e7/numpy-2.0.2-cp310-cp310-macosx_14_0_x86_64.whl", hash = "sha256:becfae3ddd30736fe1889a37f1f580e245ba79a5855bff5f2a29cb3ccc22dd7b", size = 6901774, upload-time = "2024-08-26T20:04:58.173Z" },
-    { url = "https://files.pythonhosted.org/packages/f9/a3/561c531c0e8bf082c5bef509d00d56f82e0ea7e1e3e3a7fc8fa78742a6e5/numpy-2.0.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2da5960c3cf0df7eafefd806d4e612c5e19358de82cb3c343631188991566ccd", size = 13907081, upload-time = "2024-08-26T20:05:19.098Z" },
-    { url = "https://files.pythonhosted.org/packages/fa/66/f7177ab331876200ac7563a580140643d1179c8b4b6a6b0fc9838de2a9b8/numpy-2.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:496f71341824ed9f3d2fd36cf3ac57ae2e0165c143b55c3a035ee219413f3318", size = 19523451, upload-time = "2024-08-26T20:05:47.479Z" },
-    { url = "https://files.pythonhosted.org/packages/25/7f/0b209498009ad6453e4efc2c65bcdf0ae08a182b2b7877d7ab38a92dc542/numpy-2.0.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:a61ec659f68ae254e4d237816e33171497e978140353c0c2038d46e63282d0c8", size = 19927572, upload-time = "2024-08-26T20:06:17.137Z" },
-    { url = "https://files.pythonhosted.org/packages/3e/df/2619393b1e1b565cd2d4c4403bdd979621e2c4dea1f8532754b2598ed63b/numpy-2.0.2-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:d731a1c6116ba289c1e9ee714b08a8ff882944d4ad631fd411106a30f083c326", size = 14400722, upload-time = "2024-08-26T20:06:39.16Z" },
-    { url = "https://files.pythonhosted.org/packages/22/ad/77e921b9f256d5da36424ffb711ae79ca3f451ff8489eeca544d0701d74a/numpy-2.0.2-cp310-cp310-win32.whl", hash = "sha256:984d96121c9f9616cd33fbd0618b7f08e0cfc9600a7ee1d6fd9b239186d19d97", size = 6472170, upload-time = "2024-08-26T20:06:50.361Z" },
-    { url = "https://files.pythonhosted.org/packages/10/05/3442317535028bc29cf0c0dd4c191a4481e8376e9f0db6bcf29703cadae6/numpy-2.0.2-cp310-cp310-win_amd64.whl", hash = "sha256:c7b0be4ef08607dd04da4092faee0b86607f111d5ae68036f16cc787e250a131", size = 15905558, upload-time = "2024-08-26T20:07:13.881Z" },
-    { url = "https://files.pythonhosted.org/packages/8b/cf/034500fb83041aa0286e0fb16e7c76e5c8b67c0711bb6e9e9737a717d5fe/numpy-2.0.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:49ca4decb342d66018b01932139c0961a8f9ddc7589611158cb3c27cbcf76448", size = 21169137, upload-time = "2024-08-26T20:07:45.345Z" },
-    { url = "https://files.pythonhosted.org/packages/4a/d9/32de45561811a4b87fbdee23b5797394e3d1504b4a7cf40c10199848893e/numpy-2.0.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:11a76c372d1d37437857280aa142086476136a8c0f373b2e648ab2c8f18fb195", size = 13703552, upload-time = "2024-08-26T20:08:06.666Z" },
-    { url = "https://files.pythonhosted.org/packages/c1/ca/2f384720020c7b244d22508cb7ab23d95f179fcfff33c31a6eeba8d6c512/numpy-2.0.2-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:807ec44583fd708a21d4a11d94aedf2f4f3c3719035c76a2bbe1fe8e217bdc57", size = 5298957, upload-time = "2024-08-26T20:08:15.83Z" },
-    { url = "https://files.pythonhosted.org/packages/0e/78/a3e4f9fb6aa4e6fdca0c5428e8ba039408514388cf62d89651aade838269/numpy-2.0.2-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:8cafab480740e22f8d833acefed5cc87ce276f4ece12fdaa2e8903db2f82897a", size = 6905573, upload-time = "2024-08-26T20:08:27.185Z" },
-    { url = "https://files.pythonhosted.org/packages/a0/72/cfc3a1beb2caf4efc9d0b38a15fe34025230da27e1c08cc2eb9bfb1c7231/numpy-2.0.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a15f476a45e6e5a3a79d8a14e62161d27ad897381fecfa4a09ed5322f2085669", size = 13914330, upload-time = "2024-08-26T20:08:48.058Z" },
-    { url = "https://files.pythonhosted.org/packages/ba/a8/c17acf65a931ce551fee11b72e8de63bf7e8a6f0e21add4c937c83563538/numpy-2.0.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:13e689d772146140a252c3a28501da66dfecd77490b498b168b501835041f951", size = 19534895, upload-time = "2024-08-26T20:09:16.536Z" },
-    { url = "https://files.pythonhosted.org/packages/ba/86/8767f3d54f6ae0165749f84648da9dcc8cd78ab65d415494962c86fac80f/numpy-2.0.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:9ea91dfb7c3d1c56a0e55657c0afb38cf1eeae4544c208dc465c3c9f3a7c09f9", size = 19937253, upload-time = "2024-08-26T20:09:46.263Z" },
-    { url = "https://files.pythonhosted.org/packages/df/87/f76450e6e1c14e5bb1eae6836478b1028e096fd02e85c1c37674606ab752/numpy-2.0.2-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:c1c9307701fec8f3f7a1e6711f9089c06e6284b3afbbcd259f7791282d660a15", size = 14414074, upload-time = "2024-08-26T20:10:08.483Z" },
-    { url = "https://files.pythonhosted.org/packages/5c/ca/0f0f328e1e59f73754f06e1adfb909de43726d4f24c6a3f8805f34f2b0fa/numpy-2.0.2-cp311-cp311-win32.whl", hash = "sha256:a392a68bd329eafac5817e5aefeb39038c48b671afd242710b451e76090e81f4", size = 6470640, upload-time = "2024-08-26T20:10:19.732Z" },
-    { url = "https://files.pythonhosted.org/packages/eb/57/3a3f14d3a759dcf9bf6e9eda905794726b758819df4663f217d658a58695/numpy-2.0.2-cp311-cp311-win_amd64.whl", hash = "sha256:286cd40ce2b7d652a6f22efdfc6d1edf879440e53e76a75955bc0c826c7e64dc", size = 15910230, upload-time = "2024-08-26T20:10:43.413Z" },
-    { url = "https://files.pythonhosted.org/packages/45/40/2e117be60ec50d98fa08c2f8c48e09b3edea93cfcabd5a9ff6925d54b1c2/numpy-2.0.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:df55d490dea7934f330006d0f81e8551ba6010a5bf035a249ef61a94f21c500b", size = 20895803, upload-time = "2024-08-26T20:11:13.916Z" },
-    { url = "https://files.pythonhosted.org/packages/46/92/1b8b8dee833f53cef3e0a3f69b2374467789e0bb7399689582314df02651/numpy-2.0.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:8df823f570d9adf0978347d1f926b2a867d5608f434a7cff7f7908c6570dcf5e", size = 13471835, upload-time = "2024-08-26T20:11:34.779Z" },
-    { url = "https://files.pythonhosted.org/packages/7f/19/e2793bde475f1edaea6945be141aef6c8b4c669b90c90a300a8954d08f0a/numpy-2.0.2-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:9a92ae5c14811e390f3767053ff54eaee3bf84576d99a2456391401323f4ec2c", size = 5038499, upload-time = "2024-08-26T20:11:43.902Z" },
-    { url = "https://files.pythonhosted.org/packages/e3/ff/ddf6dac2ff0dd50a7327bcdba45cb0264d0e96bb44d33324853f781a8f3c/numpy-2.0.2-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:a842d573724391493a97a62ebbb8e731f8a5dcc5d285dfc99141ca15a3302d0c", size = 6633497, upload-time = "2024-08-26T20:11:55.09Z" },
-    { url = "https://files.pythonhosted.org/packages/72/21/67f36eac8e2d2cd652a2e69595a54128297cdcb1ff3931cfc87838874bd4/numpy-2.0.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c05e238064fc0610c840d1cf6a13bf63d7e391717d247f1bf0318172e759e692", size = 13621158, upload-time = "2024-08-26T20:12:14.95Z" },
-    { url = "https://files.pythonhosted.org/packages/39/68/e9f1126d757653496dbc096cb429014347a36b228f5a991dae2c6b6cfd40/numpy-2.0.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0123ffdaa88fa4ab64835dcbde75dcdf89c453c922f18dced6e27c90d1d0ec5a", size = 19236173, upload-time = "2024-08-26T20:12:44.049Z" },
-    { url = "https://files.pythonhosted.org/packages/d1/e9/1f5333281e4ebf483ba1c888b1d61ba7e78d7e910fdd8e6499667041cc35/numpy-2.0.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:96a55f64139912d61de9137f11bf39a55ec8faec288c75a54f93dfd39f7eb40c", size = 19634174, upload-time = "2024-08-26T20:13:13.634Z" },
-    { url = "https://files.pythonhosted.org/packages/71/af/a469674070c8d8408384e3012e064299f7a2de540738a8e414dcfd639996/numpy-2.0.2-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:ec9852fb39354b5a45a80bdab5ac02dd02b15f44b3804e9f00c556bf24b4bded", size = 14099701, upload-time = "2024-08-26T20:13:34.851Z" },
-    { url = "https://files.pythonhosted.org/packages/d0/3d/08ea9f239d0e0e939b6ca52ad403c84a2bce1bde301a8eb4888c1c1543f1/numpy-2.0.2-cp312-cp312-win32.whl", hash = "sha256:671bec6496f83202ed2d3c8fdc486a8fc86942f2e69ff0e986140339a63bcbe5", size = 6174313, upload-time = "2024-08-26T20:13:45.653Z" },
-    { url = "https://files.pythonhosted.org/packages/b2/b5/4ac39baebf1fdb2e72585c8352c56d063b6126be9fc95bd2bb5ef5770c20/numpy-2.0.2-cp312-cp312-win_amd64.whl", hash = "sha256:cfd41e13fdc257aa5778496b8caa5e856dc4896d4ccf01841daee1d96465467a", size = 15606179, upload-time = "2024-08-26T20:14:08.786Z" },
-    { url = "https://files.pythonhosted.org/packages/43/c1/41c8f6df3162b0c6ffd4437d729115704bd43363de0090c7f913cfbc2d89/numpy-2.0.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:9059e10581ce4093f735ed23f3b9d283b9d517ff46009ddd485f1747eb22653c", size = 21169942, upload-time = "2024-08-26T20:14:40.108Z" },
-    { url = "https://files.pythonhosted.org/packages/39/bc/fd298f308dcd232b56a4031fd6ddf11c43f9917fbc937e53762f7b5a3bb1/numpy-2.0.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:423e89b23490805d2a5a96fe40ec507407b8ee786d66f7328be214f9679df6dd", size = 13711512, upload-time = "2024-08-26T20:15:00.985Z" },
-    { url = "https://files.pythonhosted.org/packages/96/ff/06d1aa3eeb1c614eda245c1ba4fb88c483bee6520d361641331872ac4b82/numpy-2.0.2-cp39-cp39-macosx_14_0_arm64.whl", hash = "sha256:2b2955fa6f11907cf7a70dab0d0755159bca87755e831e47932367fc8f2f2d0b", size = 5306976, upload-time = "2024-08-26T20:15:10.876Z" },
-    { url = "https://files.pythonhosted.org/packages/2d/98/121996dcfb10a6087a05e54453e28e58694a7db62c5a5a29cee14c6e047b/numpy-2.0.2-cp39-cp39-macosx_14_0_x86_64.whl", hash = "sha256:97032a27bd9d8988b9a97a8c4d2c9f2c15a81f61e2f21404d7e8ef00cb5be729", size = 6906494, upload-time = "2024-08-26T20:15:22.055Z" },
-    { url = "https://files.pythonhosted.org/packages/15/31/9dffc70da6b9bbf7968f6551967fc21156207366272c2a40b4ed6008dc9b/numpy-2.0.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1e795a8be3ddbac43274f18588329c72939870a16cae810c2b73461c40718ab1", size = 13912596, upload-time = "2024-08-26T20:15:42.452Z" },
-    { url = "https://files.pythonhosted.org/packages/b9/14/78635daab4b07c0930c919d451b8bf8c164774e6a3413aed04a6d95758ce/numpy-2.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f26b258c385842546006213344c50655ff1555a9338e2e5e02a0756dc3e803dd", size = 19526099, upload-time = "2024-08-26T20:16:11.048Z" },
-    { url = "https://files.pythonhosted.org/packages/26/4c/0eeca4614003077f68bfe7aac8b7496f04221865b3a5e7cb230c9d055afd/numpy-2.0.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:5fec9451a7789926bcf7c2b8d187292c9f93ea30284802a0ab3f5be8ab36865d", size = 19932823, upload-time = "2024-08-26T20:16:40.171Z" },
-    { url = "https://files.pythonhosted.org/packages/f1/46/ea25b98b13dccaebddf1a803f8c748680d972e00507cd9bc6dcdb5aa2ac1/numpy-2.0.2-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:9189427407d88ff25ecf8f12469d4d39d35bee1db5d39fc5c168c6f088a6956d", size = 14404424, upload-time = "2024-08-26T20:17:02.604Z" },
-    { url = "https://files.pythonhosted.org/packages/c8/a6/177dd88d95ecf07e722d21008b1b40e681a929eb9e329684d449c36586b2/numpy-2.0.2-cp39-cp39-win32.whl", hash = "sha256:905d16e0c60200656500c95b6b8dca5d109e23cb24abc701d41c02d74c6b3afa", size = 6476809, upload-time = "2024-08-26T20:17:13.553Z" },
-    { url = "https://files.pythonhosted.org/packages/ea/2b/7fc9f4e7ae5b507c1a3a21f0f15ed03e794c1242ea8a242ac158beb56034/numpy-2.0.2-cp39-cp39-win_amd64.whl", hash = "sha256:a3f4ab0caa7f053f6797fcd4e1e25caee367db3112ef2b6ef82d749530768c73", size = 15911314, upload-time = "2024-08-26T20:17:36.72Z" },
-    { url = "https://files.pythonhosted.org/packages/8f/3b/df5a870ac6a3be3a86856ce195ef42eec7ae50d2a202be1f5a4b3b340e14/numpy-2.0.2-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:7f0a0c6f12e07fa94133c8a67404322845220c06a9e80e85999afe727f7438b8", size = 21025288, upload-time = "2024-08-26T20:18:07.732Z" },
-    { url = "https://files.pythonhosted.org/packages/2c/97/51af92f18d6f6f2d9ad8b482a99fb74e142d71372da5d834b3a2747a446e/numpy-2.0.2-pp39-pypy39_pp73-macosx_14_0_x86_64.whl", hash = "sha256:312950fdd060354350ed123c0e25a71327d3711584beaef30cdaa93320c392d4", size = 6762793, upload-time = "2024-08-26T20:18:19.125Z" },
-    { url = "https://files.pythonhosted.org/packages/12/46/de1fbd0c1b5ccaa7f9a005b66761533e2f6a3e560096682683a223631fe9/numpy-2.0.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:26df23238872200f63518dd2aa984cfca675d82469535dc7162dc2ee52d9dd5c", size = 19334885, upload-time = "2024-08-26T20:18:47.237Z" },
-    { url = "https://files.pythonhosted.org/packages/cc/dc/d330a6faefd92b446ec0f0dfea4c3207bb1fef3c4771d19cf4543efd2c78/numpy-2.0.2-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:a46288ec55ebbd58947d31d72be2c63cbf839f0a63b49cb755022310792a3385", size = 15828784, upload-time = "2024-08-26T20:19:11.19Z" },
+dependencies = [
+    { name = "jupyter-client" },
+    { name = "jupyter-core" },
+    { name = "nbformat" },
+    { name = "traitlets" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/56/91/1c1d5a4b9a9ebba2b4e32b8c852c2975c872aec1fe42ab5e516b2cecd193/nbclient-0.10.4.tar.gz", hash = "sha256:1e54091b16e6da39e297b0ece3e10f6f29f4ac4e8ee515d29f8a7099bd6553c9", size = 62554, upload-time = "2025-12-23T07:45:46.369Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/83/a0/5b0c2f11142ed1dddec842457d3f65eaf71a0080894eb6f018755b319c3a/nbclient-0.10.4-py3-none-any.whl", hash = "sha256:9162df5a7373d70d606527300a95a975a47c137776cd942e52d9c7e29ff83440", size = 25465, upload-time = "2025-12-23T07:45:44.51Z" },
+]
+
+[[package]]
+name = "nbconvert"
+version = "7.17.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "beautifulsoup4" },
+    { name = "bleach", extra = ["css"] },
+    { name = "defusedxml" },
+    { name = "jinja2" },
+    { name = "jupyter-core" },
+    { name = "jupyterlab-pygments" },
+    { name = "markupsafe" },
+    { name = "mistune" },
+    { name = "nbclient" },
+    { name = "nbformat" },
+    { name = "packaging" },
+    { name = "pandocfilters" },
+    { name = "pygments" },
+    { name = "traitlets" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/38/47/81f886b699450d0569f7bc551df2b1673d18df7ff25cc0c21ca36ed8a5ff/nbconvert-7.17.0.tar.gz", hash = "sha256:1b2696f1b5be12309f6c7d707c24af604b87dfaf6d950794c7b07acab96dda78", size = 862855, upload-time = "2026-01-29T16:37:48.478Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/0d/4b/8d5f796a792f8a25f6925a96032f098789f448571eb92011df1ae59e8ea8/nbconvert-7.17.0-py3-none-any.whl", hash = "sha256:4f99a63b337b9a23504347afdab24a11faa7d86b405e5c8f9881cd313336d518", size = 261510, upload-time = "2026-01-29T16:37:46.322Z" },
+]
+
+[[package]]
+name = "nbformat"
+version = "5.10.4"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "fastjsonschema" },
+    { name = "jsonschema" },
+    { name = "jupyter-core" },
+    { name = "traitlets" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/6d/fd/91545e604bc3dad7dca9ed03284086039b294c6b3d75c0d2fa45f9e9caf3/nbformat-5.10.4.tar.gz", hash = "sha256:322168b14f937a5d11362988ecac2a4952d3d8e3a2cbeb2319584631226d5b3a", size = 142749, upload-time = "2024-04-04T11:20:37.371Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/a9/82/0340caa499416c78e5d8f5f05947ae4bc3cba53c9f038ab6e9ed964e22f1/nbformat-5.10.4-py3-none-any.whl", hash = "sha256:3b48d6c8fbca4b299bf3982ea7db1af21580e4fec269ad087b9e81588891200b", size = 78454, upload-time = "2024-04-04T11:20:34.895Z" },
+]
+
+[[package]]
+name = "nmrglue"
+version = "0.11"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "numpy" },
+    { name = "scipy" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/77/82/2101ea5440d357641b234a092b53177974d84b507f9e69fc09e3e7997639/nmrglue-0.11.tar.gz", hash = "sha256:9e740a02d34ce5df9eb0390274c6a5f37b4837d59139512a3dd169106a8e3fe1", size = 205874, upload-time = "2024-10-29T21:07:20.314Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/cb/e4/79b679185d83a7b2513997203afd6c23359063d97738968f51d34e3ee9c8/nmrglue-0.11-py2.py3-none-any.whl", hash = "sha256:6e698b07cd71d12034664a3414ce0bb7bf5cd87cf750b03e33e439fb31dc13bd", size = 226135, upload-time = "2024-10-29T21:07:18.669Z" },
 ]
 
 [[package]]
 name = "numpy"
 version = "2.2.5"
 source = { registry = "https://pypi.org/simple" }
-resolution-markers = [
-    "python_full_version >= '3.12'",
-    "python_full_version == '3.11.*'",
-    "python_full_version == '3.10.*'",
-]
 sdist = { url = "https://files.pythonhosted.org/packages/dc/b2/ce4b867d8cd9c0ee84938ae1e6a6f7926ebf928c9090d036fc3c6a04f946/numpy-2.2.5.tar.gz", hash = "sha256:a9c0d994680cd991b1cb772e8b297340085466a6fe964bc9d4e80f5e2f43c291", size = 20273920, upload-time = "2025-04-19T23:27:42.561Z" }
 wheels = [
     { url = "https://files.pythonhosted.org/packages/ef/4e/3d9e6d16237c2aa5485695f0626cbba82f6481efca2e9132368dea3b885e/numpy-2.2.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:1f4a922da1729f4c40932b2af4fe84909c7a6e167e6e99f71838ce3a29f3fe26", size = 21252117, upload-time = "2025-04-19T22:31:01.142Z" },
@@ -1583,8 +1360,7 @@ name = "pandas"
 version = "2.2.3"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "numpy", version = "2.0.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.10'" },
-    { name = "numpy", version = "2.2.5", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.10'" },
+    { name = "numpy" },
     { name = "python-dateutil" },
     { name = "pytz" },
     { name = "tzdata" },
@@ -1625,13 +1401,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/25/b0/98d6ae2e1abac4f35230aa756005e8654649d305df9a28b16b9ae4353bff/pandas-2.2.3-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1db71525a1538b30142094edb9adc10be3f3e176748cd7acc2240c2f2e5aa3a4", size = 11871013, upload-time = "2024-09-20T13:09:44.39Z" },
     { url = "https://files.pythonhosted.org/packages/cc/57/0f72a10f9db6a4628744c8e8f0df4e6e21de01212c7c981d31e50ffc8328/pandas-2.2.3-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:15c0e1e02e93116177d29ff83e8b1619c93ddc9c49083f237d4312337a61165d", size = 15711620, upload-time = "2024-09-20T19:02:20.639Z" },
     { url = "https://files.pythonhosted.org/packages/ab/5f/b38085618b950b79d2d9164a711c52b10aefc0ae6833b96f626b7021b2ed/pandas-2.2.3-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:ad5b65698ab28ed8d7f18790a0dc58005c7629f227be9ecc1072aa74c0c1d43a", size = 13098436, upload-time = "2024-09-20T13:09:48.112Z" },
-    { url = "https://files.pythonhosted.org/packages/ca/8c/8848a4c9b8fdf5a534fe2077af948bf53cd713d77ffbcd7bd15710348fd7/pandas-2.2.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:bc6b93f9b966093cb0fd62ff1a7e4c09e6d546ad7c1de191767baffc57628f39", size = 12595535, upload-time = "2024-09-20T13:09:51.339Z" },
-    { url = "https://files.pythonhosted.org/packages/9c/b9/5cead4f63b6d31bdefeb21a679bc5a7f4aaf262ca7e07e2bc1c341b68470/pandas-2.2.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:5dbca4c1acd72e8eeef4753eeca07de9b1db4f398669d5994086f788a5d7cc30", size = 11319822, upload-time = "2024-09-20T13:09:54.31Z" },
-    { url = "https://files.pythonhosted.org/packages/31/af/89e35619fb573366fa68dc26dad6ad2c08c17b8004aad6d98f1a31ce4bb3/pandas-2.2.3-cp39-cp39-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:8cd6d7cc958a3910f934ea8dbdf17b2364827bb4dafc38ce6eef6bb3d65ff09c", size = 15625439, upload-time = "2024-09-20T19:02:23.689Z" },
-    { url = "https://files.pythonhosted.org/packages/3d/dd/bed19c2974296661493d7acc4407b1d2db4e2a482197df100f8f965b6225/pandas-2.2.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:99df71520d25fade9db7c1076ac94eb994f4d2673ef2aa2e86ee039b6746d20c", size = 13068928, upload-time = "2024-09-20T13:09:56.746Z" },
-    { url = "https://files.pythonhosted.org/packages/31/a3/18508e10a31ea108d746c848b5a05c0711e0278fa0d6f1c52a8ec52b80a5/pandas-2.2.3-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:31d0ced62d4ea3e231a9f228366919a5ea0b07440d9d4dac345376fd8e1477ea", size = 16783266, upload-time = "2024-09-20T19:02:26.247Z" },
-    { url = "https://files.pythonhosted.org/packages/c4/a5/3429bd13d82bebc78f4d78c3945efedef63a7cd0c15c17b2eeb838d1121f/pandas-2.2.3-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:7eee9e7cea6adf3e3d24e304ac6b8300646e2a5d1cd3a3c2abed9101b0846761", size = 14450871, upload-time = "2024-09-20T13:09:59.779Z" },
-    { url = "https://files.pythonhosted.org/packages/2f/49/5c30646e96c684570925b772eac4eb0a8cb0ca590fa978f56c5d3ae73ea1/pandas-2.2.3-cp39-cp39-win_amd64.whl", hash = "sha256:4850ba03528b6dd51d6c5d273c46f183f39a9baf3f0143e566b89450965b105e", size = 11618011, upload-time = "2024-09-20T13:10:02.351Z" },
+]
+
+[[package]]
+name = "pandocfilters"
+version = "1.5.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/70/6f/3dd4940bbe001c06a65f88e36bad298bc7a0de5036115639926b0c5c0458/pandocfilters-1.5.1.tar.gz", hash = "sha256:002b4a555ee4ebc03f8b66307e287fa492e4a77b4ea14d3f934328297bb4939e", size = 8454, upload-time = "2024-01-18T20:08:13.726Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/ef/af/4fbc8cab944db5d21b7e2a5b8e9211a03a79852b1157e2c102fcc61ac440/pandocfilters-1.5.1-py2.py3-none-any.whl", hash = "sha256:93be382804a9cdb0a7267585f157e5d1731bbe5545a85b268d6f5fe6232de2bc", size = 8663, upload-time = "2024-01-18T20:08:11.28Z" },
 ]
 
 [[package]]
@@ -1704,17 +1482,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/b3/92/1ca0c3f09233bd7decf8f7105a1c4e3162fb9142128c74adad0fb361b7eb/pillow-11.2.1-cp313-cp313t-win32.whl", hash = "sha256:e0b55f27f584ed623221cfe995c912c61606be8513bfa0e07d2c674b4516d9dd", size = 2335774, upload-time = "2025-04-12T17:49:04.889Z" },
     { url = "https://files.pythonhosted.org/packages/a5/ac/77525347cb43b83ae905ffe257bbe2cc6fd23acb9796639a1f56aa59d191/pillow-11.2.1-cp313-cp313t-win_amd64.whl", hash = "sha256:36d6b82164c39ce5482f649b437382c0fb2395eabc1e2b1702a6deb8ad647d6e", size = 2681895, upload-time = "2025-04-12T17:49:06.635Z" },
     { url = "https://files.pythonhosted.org/packages/67/32/32dc030cfa91ca0fc52baebbba2e009bb001122a1daa8b6a79ad830b38d3/pillow-11.2.1-cp313-cp313t-win_arm64.whl", hash = "sha256:225c832a13326e34f212d2072982bb1adb210e0cc0b153e688743018c94a2681", size = 2417234, upload-time = "2025-04-12T17:49:08.399Z" },
-    { url = "https://files.pythonhosted.org/packages/21/3a/c1835d1c7cf83559e95b4f4ed07ab0bb7acc689712adfce406b3f456e9fd/pillow-11.2.1-cp39-cp39-macosx_10_10_x86_64.whl", hash = "sha256:7491cf8a79b8eb867d419648fff2f83cb0b3891c8b36da92cc7f1931d46108c8", size = 3198391, upload-time = "2025-04-12T17:49:10.122Z" },
-    { url = "https://files.pythonhosted.org/packages/b6/4d/dcb7a9af3fc1e8653267c38ed622605d9d1793349274b3ef7af06457e257/pillow-11.2.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:8b02d8f9cb83c52578a0b4beadba92e37d83a4ef11570a8688bbf43f4ca50909", size = 3030573, upload-time = "2025-04-12T17:49:11.938Z" },
-    { url = "https://files.pythonhosted.org/packages/9d/29/530ca098c1a1eb31d4e163d317d0e24e6d2ead907991c69ca5b663de1bc5/pillow-11.2.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:014ca0050c85003620526b0ac1ac53f56fc93af128f7546623cc8e31875ab928", size = 4398677, upload-time = "2025-04-12T17:49:13.861Z" },
-    { url = "https://files.pythonhosted.org/packages/8b/ee/0e5e51db34de1690264e5f30dcd25328c540aa11d50a3bc0b540e2a445b6/pillow-11.2.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3692b68c87096ac6308296d96354eddd25f98740c9d2ab54e1549d6c8aea9d79", size = 4484986, upload-time = "2025-04-12T17:49:15.948Z" },
-    { url = "https://files.pythonhosted.org/packages/93/7d/bc723b41ce3d2c28532c47678ec988974f731b5c6fadd5b3a4fba9015e4f/pillow-11.2.1-cp39-cp39-manylinux_2_28_aarch64.whl", hash = "sha256:f781dcb0bc9929adc77bad571b8621ecb1e4cdef86e940fe2e5b5ee24fd33b35", size = 4501897, upload-time = "2025-04-12T17:49:17.839Z" },
-    { url = "https://files.pythonhosted.org/packages/be/0b/532e31abc7389617ddff12551af625a9b03cd61d2989fa595e43c470ec67/pillow-11.2.1-cp39-cp39-manylinux_2_28_x86_64.whl", hash = "sha256:2b490402c96f907a166615e9a5afacf2519e28295f157ec3a2bb9bd57de638cb", size = 4592618, upload-time = "2025-04-12T17:49:19.7Z" },
-    { url = "https://files.pythonhosted.org/packages/4c/f0/21ed6499a6216fef753e2e2254a19d08bff3747108ba042422383f3e9faa/pillow-11.2.1-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:dd6b20b93b3ccc9c1b597999209e4bc5cf2853f9ee66e3fc9a400a78733ffc9a", size = 4570493, upload-time = "2025-04-12T17:49:21.703Z" },
-    { url = "https://files.pythonhosted.org/packages/68/de/17004ddb8ab855573fe1127ab0168d11378cdfe4a7ee2a792a70ff2e9ba7/pillow-11.2.1-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:4b835d89c08a6c2ee7781b8dd0a30209a8012b5f09c0a665b65b0eb3560b6f36", size = 4647748, upload-time = "2025-04-12T17:49:23.579Z" },
-    { url = "https://files.pythonhosted.org/packages/c7/23/82ecb486384bb3578115c509d4a00bb52f463ee700a5ca1be53da3c88c19/pillow-11.2.1-cp39-cp39-win32.whl", hash = "sha256:b10428b3416d4f9c61f94b494681280be7686bda15898a3a9e08eb66a6d92d67", size = 2331731, upload-time = "2025-04-12T17:49:25.58Z" },
-    { url = "https://files.pythonhosted.org/packages/58/bb/87efd58b3689537a623d44dbb2550ef0bb5ff6a62769707a0fe8b1a7bdeb/pillow-11.2.1-cp39-cp39-win_amd64.whl", hash = "sha256:6ebce70c3f486acf7591a3d73431fa504a4e18a9b97ff27f5f47b7368e4b9dd1", size = 2676346, upload-time = "2025-04-12T17:49:27.342Z" },
-    { url = "https://files.pythonhosted.org/packages/80/08/dc268475b22887b816e5dcfae31bce897f524b4646bab130c2142c9b2400/pillow-11.2.1-cp39-cp39-win_arm64.whl", hash = "sha256:c27476257b2fdcd7872d54cfd119b3a9ce4610fb85c8e32b70b42e3680a29a1e", size = 2414623, upload-time = "2025-04-12T17:49:29.139Z" },
     { url = "https://files.pythonhosted.org/packages/33/49/c8c21e4255b4f4a2c0c68ac18125d7f5460b109acc6dfdef1a24f9b960ef/pillow-11.2.1-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:9b7b0d4fd2635f54ad82785d56bc0d94f147096493a79985d0ab57aedd563156", size = 3181727, upload-time = "2025-04-12T17:49:31.898Z" },
     { url = "https://files.pythonhosted.org/packages/6d/f1/f7255c0838f8c1ef6d55b625cfb286835c17e8136ce4351c5577d02c443b/pillow-11.2.1-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:aa442755e31c64037aa7c1cb186e0b369f8416c567381852c63444dd666fb772", size = 2999833, upload-time = "2025-04-12T17:49:34.2Z" },
     { url = "https://files.pythonhosted.org/packages/e2/57/9968114457bd131063da98d87790d080366218f64fa2943b65ac6739abb3/pillow-11.2.1-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f0d3348c95b766f54b76116d53d4cb171b52992a1027e7ca50c81b43b9d9e363", size = 3437472, upload-time = "2025-04-12T17:49:36.294Z" },
@@ -1882,15 +1649,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/fe/0f/25911a9f080464c59fab9027482f822b86bf0608957a5fcc6eaac85aa515/PyYAML-6.0.2-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:68ccc6023a3400877818152ad9a1033e3db8625d899c72eacb5a668902e4d652", size = 751597, upload-time = "2024-08-06T20:32:56.985Z" },
     { url = "https://files.pythonhosted.org/packages/14/0d/e2c3b43bbce3cf6bd97c840b46088a3031085179e596d4929729d8d68270/PyYAML-6.0.2-cp313-cp313-win32.whl", hash = "sha256:bc2fa7c6b47d6bc618dd7fb02ef6fdedb1090ec036abab80d4681424b84c1183", size = 140527, upload-time = "2024-08-06T20:33:03.001Z" },
     { url = "https://files.pythonhosted.org/packages/fa/de/02b54f42487e3d3c6efb3f89428677074ca7bf43aae402517bc7cca949f3/PyYAML-6.0.2-cp313-cp313-win_amd64.whl", hash = "sha256:8388ee1976c416731879ac16da0aff3f63b286ffdd57cdeb95f3f2e085687563", size = 156446, upload-time = "2024-08-06T20:33:04.33Z" },
-    { url = "https://files.pythonhosted.org/packages/65/d8/b7a1db13636d7fb7d4ff431593c510c8b8fca920ade06ca8ef20015493c5/PyYAML-6.0.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:688ba32a1cffef67fd2e9398a2efebaea461578b0923624778664cc1c914db5d", size = 184777, upload-time = "2024-08-06T20:33:25.896Z" },
-    { url = "https://files.pythonhosted.org/packages/0a/02/6ec546cd45143fdf9840b2c6be8d875116a64076218b61d68e12548e5839/PyYAML-6.0.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:a8786accb172bd8afb8be14490a16625cbc387036876ab6ba70912730faf8e1f", size = 172318, upload-time = "2024-08-06T20:33:27.212Z" },
-    { url = "https://files.pythonhosted.org/packages/0e/9a/8cc68be846c972bda34f6c2a93abb644fb2476f4dcc924d52175786932c9/PyYAML-6.0.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d8e03406cac8513435335dbab54c0d385e4a49e4945d2909a581c83647ca0290", size = 720891, upload-time = "2024-08-06T20:33:28.974Z" },
-    { url = "https://files.pythonhosted.org/packages/e9/6c/6e1b7f40181bc4805e2e07f4abc10a88ce4648e7e95ff1abe4ae4014a9b2/PyYAML-6.0.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f753120cb8181e736c57ef7636e83f31b9c0d1722c516f7e86cf15b7aa57ff12", size = 722614, upload-time = "2024-08-06T20:33:34.157Z" },
-    { url = "https://files.pythonhosted.org/packages/3d/32/e7bd8535d22ea2874cef6a81021ba019474ace0d13a4819c2a4bce79bd6a/PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3b1fdb9dc17f5a7677423d508ab4f243a726dea51fa5e70992e59a7411c89d19", size = 737360, upload-time = "2024-08-06T20:33:35.84Z" },
-    { url = "https://files.pythonhosted.org/packages/d7/12/7322c1e30b9be969670b672573d45479edef72c9a0deac3bb2868f5d7469/PyYAML-6.0.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:0b69e4ce7a131fe56b7e4d770c67429700908fc0752af059838b1cfb41960e4e", size = 699006, upload-time = "2024-08-06T20:33:37.501Z" },
-    { url = "https://files.pythonhosted.org/packages/82/72/04fcad41ca56491995076630c3ec1e834be241664c0c09a64c9a2589b507/PyYAML-6.0.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:a9f8c2e67970f13b16084e04f134610fd1d374bf477b17ec1599185cf611d725", size = 723577, upload-time = "2024-08-06T20:33:39.389Z" },
-    { url = "https://files.pythonhosted.org/packages/ed/5e/46168b1f2757f1fcd442bc3029cd8767d88a98c9c05770d8b420948743bb/PyYAML-6.0.2-cp39-cp39-win32.whl", hash = "sha256:6395c297d42274772abc367baaa79683958044e5d3835486c16da75d2a694631", size = 144593, upload-time = "2024-08-06T20:33:46.63Z" },
-    { url = "https://files.pythonhosted.org/packages/19/87/5124b1c1f2412bb95c59ec481eaf936cd32f0fe2a7b16b97b81c4c017a6a/PyYAML-6.0.2-cp39-cp39-win_amd64.whl", hash = "sha256:39693e1f8320ae4f43943590b49779ffb98acb81f788220ea932a6b6c51004d8", size = 162312, upload-time = "2024-08-06T20:33:49.073Z" },
 ]
 
 [[package]]
@@ -1905,6 +1663,93 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/04/11/432f32f8097b03e3cd5fe57e88efb685d964e2e5178a48ed61e841f7fdce/pyyaml_env_tag-1.1-py3-none-any.whl", hash = "sha256:17109e1a528561e32f026364712fee1264bc2ea6715120891174ed1b980d2e04", size = 4722, upload-time = "2025-05-13T15:23:59.629Z" },
 ]
 
+[[package]]
+name = "pyzmq"
+version = "27.1.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "cffi", marker = "implementation_name == 'pypy'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/04/0b/3c9baedbdf613ecaa7aa07027780b8867f57b6293b6ee50de316c9f3222b/pyzmq-27.1.0.tar.gz", hash = "sha256:ac0765e3d44455adb6ddbf4417dcce460fc40a05978c08efdf2948072f6db540", size = 281750, upload-time = "2025-09-08T23:10:18.157Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/67/b9/52aa9ec2867528b54f1e60846728d8b4d84726630874fee3a91e66c7df81/pyzmq-27.1.0-cp310-cp310-macosx_10_15_universal2.whl", hash = "sha256:508e23ec9bc44c0005c4946ea013d9317ae00ac67778bd47519fdf5a0e930ff4", size = 1329850, upload-time = "2025-09-08T23:07:26.274Z" },
+    { url = "https://files.pythonhosted.org/packages/99/64/5653e7b7425b169f994835a2b2abf9486264401fdef18df91ddae47ce2cc/pyzmq-27.1.0-cp310-cp310-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:507b6f430bdcf0ee48c0d30e734ea89ce5567fd7b8a0f0044a369c176aa44556", size = 906380, upload-time = "2025-09-08T23:07:29.78Z" },
+    { url = "https://files.pythonhosted.org/packages/73/78/7d713284dbe022f6440e391bd1f3c48d9185673878034cfb3939cdf333b2/pyzmq-27.1.0-cp310-cp310-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:bf7b38f9fd7b81cb6d9391b2946382c8237fd814075c6aa9c3b746d53076023b", size = 666421, upload-time = "2025-09-08T23:07:31.263Z" },
+    { url = "https://files.pythonhosted.org/packages/30/76/8f099f9d6482450428b17c4d6b241281af7ce6a9de8149ca8c1c649f6792/pyzmq-27.1.0-cp310-cp310-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:03ff0b279b40d687691a6217c12242ee71f0fba28bf8626ff50e3ef0f4410e1e", size = 854149, upload-time = "2025-09-08T23:07:33.17Z" },
+    { url = "https://files.pythonhosted.org/packages/59/f0/37fbfff06c68016019043897e4c969ceab18bde46cd2aca89821fcf4fb2e/pyzmq-27.1.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:677e744fee605753eac48198b15a2124016c009a11056f93807000ab11ce6526", size = 1655070, upload-time = "2025-09-08T23:07:35.205Z" },
+    { url = "https://files.pythonhosted.org/packages/47/14/7254be73f7a8edc3587609554fcaa7bfd30649bf89cd260e4487ca70fdaa/pyzmq-27.1.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:dd2fec2b13137416a1c5648b7009499bcc8fea78154cd888855fa32514f3dad1", size = 2033441, upload-time = "2025-09-08T23:07:37.432Z" },
+    { url = "https://files.pythonhosted.org/packages/22/dc/49f2be26c6f86f347e796a4d99b19167fc94503f0af3fd010ad262158822/pyzmq-27.1.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:08e90bb4b57603b84eab1d0ca05b3bbb10f60c1839dc471fc1c9e1507bef3386", size = 1891529, upload-time = "2025-09-08T23:07:39.047Z" },
+    { url = "https://files.pythonhosted.org/packages/a3/3e/154fb963ae25be70c0064ce97776c937ecc7d8b0259f22858154a9999769/pyzmq-27.1.0-cp310-cp310-win32.whl", hash = "sha256:a5b42d7a0658b515319148875fcb782bbf118dd41c671b62dae33666c2213bda", size = 567276, upload-time = "2025-09-08T23:07:40.695Z" },
+    { url = "https://files.pythonhosted.org/packages/62/b2/f4ab56c8c595abcb26b2be5fd9fa9e6899c1e5ad54964e93ae8bb35482be/pyzmq-27.1.0-cp310-cp310-win_amd64.whl", hash = "sha256:c0bb87227430ee3aefcc0ade2088100e528d5d3298a0a715a64f3d04c60ba02f", size = 632208, upload-time = "2025-09-08T23:07:42.298Z" },
+    { url = "https://files.pythonhosted.org/packages/3b/e3/be2cc7ab8332bdac0522fdb64c17b1b6241a795bee02e0196636ec5beb79/pyzmq-27.1.0-cp310-cp310-win_arm64.whl", hash = "sha256:9a916f76c2ab8d045b19f2286851a38e9ac94ea91faf65bd64735924522a8b32", size = 559766, upload-time = "2025-09-08T23:07:43.869Z" },
+    { url = "https://files.pythonhosted.org/packages/06/5d/305323ba86b284e6fcb0d842d6adaa2999035f70f8c38a9b6d21ad28c3d4/pyzmq-27.1.0-cp311-cp311-macosx_10_15_universal2.whl", hash = "sha256:226b091818d461a3bef763805e75685e478ac17e9008f49fce2d3e52b3d58b86", size = 1333328, upload-time = "2025-09-08T23:07:45.946Z" },
+    { url = "https://files.pythonhosted.org/packages/bd/a0/fc7e78a23748ad5443ac3275943457e8452da67fda347e05260261108cbc/pyzmq-27.1.0-cp311-cp311-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:0790a0161c281ca9723f804871b4027f2e8b5a528d357c8952d08cd1a9c15581", size = 908803, upload-time = "2025-09-08T23:07:47.551Z" },
+    { url = "https://files.pythonhosted.org/packages/7e/22/37d15eb05f3bdfa4abea6f6d96eb3bb58585fbd3e4e0ded4e743bc650c97/pyzmq-27.1.0-cp311-cp311-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:c895a6f35476b0c3a54e3eb6ccf41bf3018de937016e6e18748317f25d4e925f", size = 668836, upload-time = "2025-09-08T23:07:49.436Z" },
+    { url = "https://files.pythonhosted.org/packages/b1/c4/2a6fe5111a01005fc7af3878259ce17684fabb8852815eda6225620f3c59/pyzmq-27.1.0-cp311-cp311-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:5bbf8d3630bf96550b3be8e1fc0fea5cbdc8d5466c1192887bd94869da17a63e", size = 857038, upload-time = "2025-09-08T23:07:51.234Z" },
+    { url = "https://files.pythonhosted.org/packages/cb/eb/bfdcb41d0db9cd233d6fb22dc131583774135505ada800ebf14dfb0a7c40/pyzmq-27.1.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:15c8bd0fe0dabf808e2d7a681398c4e5ded70a551ab47482067a572c054c8e2e", size = 1657531, upload-time = "2025-09-08T23:07:52.795Z" },
+    { url = "https://files.pythonhosted.org/packages/ab/21/e3180ca269ed4a0de5c34417dfe71a8ae80421198be83ee619a8a485b0c7/pyzmq-27.1.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:bafcb3dd171b4ae9f19ee6380dfc71ce0390fefaf26b504c0e5f628d7c8c54f2", size = 2034786, upload-time = "2025-09-08T23:07:55.047Z" },
+    { url = "https://files.pythonhosted.org/packages/3b/b1/5e21d0b517434b7f33588ff76c177c5a167858cc38ef740608898cd329f2/pyzmq-27.1.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:e829529fcaa09937189178115c49c504e69289abd39967cd8a4c215761373394", size = 1894220, upload-time = "2025-09-08T23:07:57.172Z" },
+    { url = "https://files.pythonhosted.org/packages/03/f2/44913a6ff6941905efc24a1acf3d3cb6146b636c546c7406c38c49c403d4/pyzmq-27.1.0-cp311-cp311-win32.whl", hash = "sha256:6df079c47d5902af6db298ec92151db82ecb557af663098b92f2508c398bb54f", size = 567155, upload-time = "2025-09-08T23:07:59.05Z" },
+    { url = "https://files.pythonhosted.org/packages/23/6d/d8d92a0eb270a925c9b4dd039c0b4dc10abc2fcbc48331788824ef113935/pyzmq-27.1.0-cp311-cp311-win_amd64.whl", hash = "sha256:190cbf120fbc0fc4957b56866830def56628934a9d112aec0e2507aa6a032b97", size = 633428, upload-time = "2025-09-08T23:08:00.663Z" },
+    { url = "https://files.pythonhosted.org/packages/ae/14/01afebc96c5abbbd713ecfc7469cfb1bc801c819a74ed5c9fad9a48801cb/pyzmq-27.1.0-cp311-cp311-win_arm64.whl", hash = "sha256:eca6b47df11a132d1745eb3b5b5e557a7dae2c303277aa0e69c6ba91b8736e07", size = 559497, upload-time = "2025-09-08T23:08:02.15Z" },
+    { url = "https://files.pythonhosted.org/packages/92/e7/038aab64a946d535901103da16b953c8c9cc9c961dadcbf3609ed6428d23/pyzmq-27.1.0-cp312-abi3-macosx_10_15_universal2.whl", hash = "sha256:452631b640340c928fa343801b0d07eb0c3789a5ffa843f6e1a9cee0ba4eb4fc", size = 1306279, upload-time = "2025-09-08T23:08:03.807Z" },
+    { url = "https://files.pythonhosted.org/packages/e8/5e/c3c49fdd0f535ef45eefcc16934648e9e59dace4a37ee88fc53f6cd8e641/pyzmq-27.1.0-cp312-abi3-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:1c179799b118e554b66da67d88ed66cd37a169f1f23b5d9f0a231b4e8d44a113", size = 895645, upload-time = "2025-09-08T23:08:05.301Z" },
+    { url = "https://files.pythonhosted.org/packages/f8/e5/b0b2504cb4e903a74dcf1ebae157f9e20ebb6ea76095f6cfffea28c42ecd/pyzmq-27.1.0-cp312-abi3-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:3837439b7f99e60312f0c926a6ad437b067356dc2bc2ec96eb395fd0fe804233", size = 652574, upload-time = "2025-09-08T23:08:06.828Z" },
+    { url = "https://files.pythonhosted.org/packages/f8/9b/c108cdb55560eaf253f0cbdb61b29971e9fb34d9c3499b0e96e4e60ed8a5/pyzmq-27.1.0-cp312-abi3-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:43ad9a73e3da1fab5b0e7e13402f0b2fb934ae1c876c51d0afff0e7c052eca31", size = 840995, upload-time = "2025-09-08T23:08:08.396Z" },
+    { url = "https://files.pythonhosted.org/packages/c2/bb/b79798ca177b9eb0825b4c9998c6af8cd2a7f15a6a1a4272c1d1a21d382f/pyzmq-27.1.0-cp312-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:0de3028d69d4cdc475bfe47a6128eb38d8bc0e8f4d69646adfbcd840facbac28", size = 1642070, upload-time = "2025-09-08T23:08:09.989Z" },
+    { url = "https://files.pythonhosted.org/packages/9c/80/2df2e7977c4ede24c79ae39dcef3899bfc5f34d1ca7a5b24f182c9b7a9ca/pyzmq-27.1.0-cp312-abi3-musllinux_1_2_i686.whl", hash = "sha256:cf44a7763aea9298c0aa7dbf859f87ed7012de8bda0f3977b6fb1d96745df856", size = 2021121, upload-time = "2025-09-08T23:08:11.907Z" },
+    { url = "https://files.pythonhosted.org/packages/46/bd/2d45ad24f5f5ae7e8d01525eb76786fa7557136555cac7d929880519e33a/pyzmq-27.1.0-cp312-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:f30f395a9e6fbca195400ce833c731e7b64c3919aa481af4d88c3759e0cb7496", size = 1878550, upload-time = "2025-09-08T23:08:13.513Z" },
+    { url = "https://files.pythonhosted.org/packages/e6/2f/104c0a3c778d7c2ab8190e9db4f62f0b6957b53c9d87db77c284b69f33ea/pyzmq-27.1.0-cp312-abi3-win32.whl", hash = "sha256:250e5436a4ba13885494412b3da5d518cd0d3a278a1ae640e113c073a5f88edd", size = 559184, upload-time = "2025-09-08T23:08:15.163Z" },
+    { url = "https://files.pythonhosted.org/packages/fc/7f/a21b20d577e4100c6a41795842028235998a643b1ad406a6d4163ea8f53e/pyzmq-27.1.0-cp312-abi3-win_amd64.whl", hash = "sha256:9ce490cf1d2ca2ad84733aa1d69ce6855372cb5ce9223802450c9b2a7cba0ccf", size = 619480, upload-time = "2025-09-08T23:08:17.192Z" },
+    { url = "https://files.pythonhosted.org/packages/78/c2/c012beae5f76b72f007a9e91ee9401cb88c51d0f83c6257a03e785c81cc2/pyzmq-27.1.0-cp312-abi3-win_arm64.whl", hash = "sha256:75a2f36223f0d535a0c919e23615fc85a1e23b71f40c7eb43d7b1dedb4d8f15f", size = 552993, upload-time = "2025-09-08T23:08:18.926Z" },
+    { url = "https://files.pythonhosted.org/packages/60/cb/84a13459c51da6cec1b7b1dc1a47e6db6da50b77ad7fd9c145842750a011/pyzmq-27.1.0-cp313-cp313-android_24_arm64_v8a.whl", hash = "sha256:93ad4b0855a664229559e45c8d23797ceac03183c7b6f5b4428152a6b06684a5", size = 1122436, upload-time = "2025-09-08T23:08:20.801Z" },
+    { url = "https://files.pythonhosted.org/packages/dc/b6/94414759a69a26c3dd674570a81813c46a078767d931a6c70ad29fc585cb/pyzmq-27.1.0-cp313-cp313-android_24_x86_64.whl", hash = "sha256:fbb4f2400bfda24f12f009cba62ad5734148569ff4949b1b6ec3b519444342e6", size = 1156301, upload-time = "2025-09-08T23:08:22.47Z" },
+    { url = "https://files.pythonhosted.org/packages/a5/ad/15906493fd40c316377fd8a8f6b1f93104f97a752667763c9b9c1b71d42d/pyzmq-27.1.0-cp313-cp313t-macosx_10_15_universal2.whl", hash = "sha256:e343d067f7b151cfe4eb3bb796a7752c9d369eed007b91231e817071d2c2fec7", size = 1341197, upload-time = "2025-09-08T23:08:24.286Z" },
+    { url = "https://files.pythonhosted.org/packages/14/1d/d343f3ce13db53a54cb8946594e567410b2125394dafcc0268d8dda027e0/pyzmq-27.1.0-cp313-cp313t-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:08363b2011dec81c354d694bdecaef4770e0ae96b9afea70b3f47b973655cc05", size = 897275, upload-time = "2025-09-08T23:08:26.063Z" },
+    { url = "https://files.pythonhosted.org/packages/69/2d/d83dd6d7ca929a2fc67d2c3005415cdf322af7751d773524809f9e585129/pyzmq-27.1.0-cp313-cp313t-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d54530c8c8b5b8ddb3318f481297441af102517602b569146185fa10b63f4fa9", size = 660469, upload-time = "2025-09-08T23:08:27.623Z" },
+    { url = "https://files.pythonhosted.org/packages/3e/cd/9822a7af117f4bc0f1952dbe9ef8358eb50a24928efd5edf54210b850259/pyzmq-27.1.0-cp313-cp313t-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:6f3afa12c392f0a44a2414056d730eebc33ec0926aae92b5ad5cf26ebb6cc128", size = 847961, upload-time = "2025-09-08T23:08:29.672Z" },
+    { url = "https://files.pythonhosted.org/packages/9a/12/f003e824a19ed73be15542f172fd0ec4ad0b60cf37436652c93b9df7c585/pyzmq-27.1.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:c65047adafe573ff023b3187bb93faa583151627bc9c51fc4fb2c561ed689d39", size = 1650282, upload-time = "2025-09-08T23:08:31.349Z" },
+    { url = "https://files.pythonhosted.org/packages/d5/4a/e82d788ed58e9a23995cee70dbc20c9aded3d13a92d30d57ec2291f1e8a3/pyzmq-27.1.0-cp313-cp313t-musllinux_1_2_i686.whl", hash = "sha256:90e6e9441c946a8b0a667356f7078d96411391a3b8f80980315455574177ec97", size = 2024468, upload-time = "2025-09-08T23:08:33.543Z" },
+    { url = "https://files.pythonhosted.org/packages/d9/94/2da0a60841f757481e402b34bf4c8bf57fa54a5466b965de791b1e6f747d/pyzmq-27.1.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:add071b2d25f84e8189aaf0882d39a285b42fa3853016ebab234a5e78c7a43db", size = 1885394, upload-time = "2025-09-08T23:08:35.51Z" },
+    { url = "https://files.pythonhosted.org/packages/4f/6f/55c10e2e49ad52d080dc24e37adb215e5b0d64990b57598abc2e3f01725b/pyzmq-27.1.0-cp313-cp313t-win32.whl", hash = "sha256:7ccc0700cfdf7bd487bea8d850ec38f204478681ea02a582a8da8171b7f90a1c", size = 574964, upload-time = "2025-09-08T23:08:37.178Z" },
+    { url = "https://files.pythonhosted.org/packages/87/4d/2534970ba63dd7c522d8ca80fb92777f362c0f321900667c615e2067cb29/pyzmq-27.1.0-cp313-cp313t-win_amd64.whl", hash = "sha256:8085a9fba668216b9b4323be338ee5437a235fe275b9d1610e422ccc279733e2", size = 641029, upload-time = "2025-09-08T23:08:40.595Z" },
+    { url = "https://files.pythonhosted.org/packages/f6/fa/f8aea7a28b0641f31d40dea42d7ef003fded31e184ef47db696bc74cd610/pyzmq-27.1.0-cp313-cp313t-win_arm64.whl", hash = "sha256:6bb54ca21bcfe361e445256c15eedf083f153811c37be87e0514934d6913061e", size = 561541, upload-time = "2025-09-08T23:08:42.668Z" },
+    { url = "https://files.pythonhosted.org/packages/87/45/19efbb3000956e82d0331bafca5d9ac19ea2857722fa2caacefb6042f39d/pyzmq-27.1.0-cp314-cp314t-macosx_10_15_universal2.whl", hash = "sha256:ce980af330231615756acd5154f29813d553ea555485ae712c491cd483df6b7a", size = 1341197, upload-time = "2025-09-08T23:08:44.973Z" },
+    { url = "https://files.pythonhosted.org/packages/48/43/d72ccdbf0d73d1343936296665826350cb1e825f92f2db9db3e61c2162a2/pyzmq-27.1.0-cp314-cp314t-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:1779be8c549e54a1c38f805e56d2a2e5c009d26de10921d7d51cfd1c8d4632ea", size = 897175, upload-time = "2025-09-08T23:08:46.601Z" },
+    { url = "https://files.pythonhosted.org/packages/2f/2e/a483f73a10b65a9ef0161e817321d39a770b2acf8bcf3004a28d90d14a94/pyzmq-27.1.0-cp314-cp314t-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:7200bb0f03345515df50d99d3db206a0a6bee1955fbb8c453c76f5bf0e08fb96", size = 660427, upload-time = "2025-09-08T23:08:48.187Z" },
+    { url = "https://files.pythonhosted.org/packages/f5/d2/5f36552c2d3e5685abe60dfa56f91169f7a2d99bbaf67c5271022ab40863/pyzmq-27.1.0-cp314-cp314t-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:01c0e07d558b06a60773744ea6251f769cd79a41a97d11b8bf4ab8f034b0424d", size = 847929, upload-time = "2025-09-08T23:08:49.76Z" },
+    { url = "https://files.pythonhosted.org/packages/c4/2a/404b331f2b7bf3198e9945f75c4c521f0c6a3a23b51f7a4a401b94a13833/pyzmq-27.1.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:80d834abee71f65253c91540445d37c4c561e293ba6e741b992f20a105d69146", size = 1650193, upload-time = "2025-09-08T23:08:51.7Z" },
+    { url = "https://files.pythonhosted.org/packages/1c/0b/f4107e33f62a5acf60e3ded67ed33d79b4ce18de432625ce2fc5093d6388/pyzmq-27.1.0-cp314-cp314t-musllinux_1_2_i686.whl", hash = "sha256:544b4e3b7198dde4a62b8ff6685e9802a9a1ebf47e77478a5eb88eca2a82f2fd", size = 2024388, upload-time = "2025-09-08T23:08:53.393Z" },
+    { url = "https://files.pythonhosted.org/packages/0d/01/add31fe76512642fd6e40e3a3bd21f4b47e242c8ba33efb6809e37076d9b/pyzmq-27.1.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:cedc4c68178e59a4046f97eca31b148ddcf51e88677de1ef4e78cf06c5376c9a", size = 1885316, upload-time = "2025-09-08T23:08:55.702Z" },
+    { url = "https://files.pythonhosted.org/packages/c4/59/a5f38970f9bf07cee96128de79590bb354917914a9be11272cfc7ff26af0/pyzmq-27.1.0-cp314-cp314t-win32.whl", hash = "sha256:1f0b2a577fd770aa6f053211a55d1c47901f4d537389a034c690291485e5fe92", size = 587472, upload-time = "2025-09-08T23:08:58.18Z" },
+    { url = "https://files.pythonhosted.org/packages/70/d8/78b1bad170f93fcf5e3536e70e8fadac55030002275c9a29e8f5719185de/pyzmq-27.1.0-cp314-cp314t-win_amd64.whl", hash = "sha256:19c9468ae0437f8074af379e986c5d3d7d7bfe033506af442e8c879732bedbe0", size = 661401, upload-time = "2025-09-08T23:08:59.802Z" },
+    { url = "https://files.pythonhosted.org/packages/81/d6/4bfbb40c9a0b42fc53c7cf442f6385db70b40f74a783130c5d0a5aa62228/pyzmq-27.1.0-cp314-cp314t-win_arm64.whl", hash = "sha256:dc5dbf68a7857b59473f7df42650c621d7e8923fb03fa74a526890f4d33cc4d7", size = 575170, upload-time = "2025-09-08T23:09:01.418Z" },
+    { url = "https://files.pythonhosted.org/packages/f3/81/a65e71c1552f74dec9dff91d95bafb6e0d33338a8dfefbc88aa562a20c92/pyzmq-27.1.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:c17e03cbc9312bee223864f1a2b13a99522e0dc9f7c5df0177cd45210ac286e6", size = 836266, upload-time = "2025-09-08T23:09:40.048Z" },
+    { url = "https://files.pythonhosted.org/packages/58/ed/0202ca350f4f2b69faa95c6d931e3c05c3a397c184cacb84cb4f8f42f287/pyzmq-27.1.0-pp310-pypy310_pp73-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:f328d01128373cb6763823b2b4e7f73bdf767834268c565151eacb3b7a392f90", size = 800206, upload-time = "2025-09-08T23:09:41.902Z" },
+    { url = "https://files.pythonhosted.org/packages/47/42/1ff831fa87fe8f0a840ddb399054ca0009605d820e2b44ea43114f5459f4/pyzmq-27.1.0-pp310-pypy310_pp73-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:9c1790386614232e1b3a40a958454bdd42c6d1811837b15ddbb052a032a43f62", size = 567747, upload-time = "2025-09-08T23:09:43.741Z" },
+    { url = "https://files.pythonhosted.org/packages/d1/db/5c4d6807434751e3f21231bee98109aa57b9b9b55e058e450d0aef59b70f/pyzmq-27.1.0-pp310-pypy310_pp73-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:448f9cb54eb0cee4732b46584f2710c8bc178b0e5371d9e4fc8125201e413a74", size = 747371, upload-time = "2025-09-08T23:09:45.575Z" },
+    { url = "https://files.pythonhosted.org/packages/26/af/78ce193dbf03567eb8c0dc30e3df2b9e56f12a670bf7eb20f9fb532c7e8a/pyzmq-27.1.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:05b12f2d32112bf8c95ef2e74ec4f1d4beb01f8b5e703b38537f8849f92cb9ba", size = 544862, upload-time = "2025-09-08T23:09:47.448Z" },
+    { url = "https://files.pythonhosted.org/packages/4c/c6/c4dcdecdbaa70969ee1fdced6d7b8f60cfabe64d25361f27ac4665a70620/pyzmq-27.1.0-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:18770c8d3563715387139060d37859c02ce40718d1faf299abddcdcc6a649066", size = 836265, upload-time = "2025-09-08T23:09:49.376Z" },
+    { url = "https://files.pythonhosted.org/packages/3e/79/f38c92eeaeb03a2ccc2ba9866f0439593bb08c5e3b714ac1d553e5c96e25/pyzmq-27.1.0-pp311-pypy311_pp73-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:ac25465d42f92e990f8d8b0546b01c391ad431c3bf447683fdc40565941d0604", size = 800208, upload-time = "2025-09-08T23:09:51.073Z" },
+    { url = "https://files.pythonhosted.org/packages/49/0e/3f0d0d335c6b3abb9b7b723776d0b21fa7f3a6c819a0db6097059aada160/pyzmq-27.1.0-pp311-pypy311_pp73-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:53b40f8ae006f2734ee7608d59ed661419f087521edbfc2149c3932e9c14808c", size = 567747, upload-time = "2025-09-08T23:09:52.698Z" },
+    { url = "https://files.pythonhosted.org/packages/a1/cf/f2b3784d536250ffd4be70e049f3b60981235d70c6e8ce7e3ef21e1adb25/pyzmq-27.1.0-pp311-pypy311_pp73-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:f605d884e7c8be8fe1aa94e0a783bf3f591b84c24e4bc4f3e7564c82ac25e271", size = 747371, upload-time = "2025-09-08T23:09:54.563Z" },
+    { url = "https://files.pythonhosted.org/packages/01/1b/5dbe84eefc86f48473947e2f41711aded97eecef1231f4558f1f02713c12/pyzmq-27.1.0-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:c9f7f6e13dff2e44a6afeaf2cf54cee5929ad64afaf4d40b50f93c58fc687355", size = 544862, upload-time = "2025-09-08T23:09:56.509Z" },
+]
+
+[[package]]
+name = "referencing"
+version = "0.37.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "attrs" },
+    { name = "rpds-py" },
+    { name = "typing-extensions", marker = "python_full_version < '3.13'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/22/f5/df4e9027acead3ecc63e50fe1e36aca1523e1719559c499951bb4b53188f/referencing-0.37.0.tar.gz", hash = "sha256:44aefc3142c5b842538163acb373e24cce6632bd54bdb01b21ad5863489f50d8", size = 78036, upload-time = "2025-10-13T15:30:48.871Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/2c/58/ca301544e1fa93ed4f80d724bf5b194f6e4b945841c5bfd555878eea9fcb/referencing-0.37.0-py3-none-any.whl", hash = "sha256:381329a9f99628c9069361716891d34ad94af76e461dcb0335825aecc7692231", size = 26766, upload-time = "2025-10-13T15:30:47.625Z" },
+]
+
 [[package]]
 name = "regex"
 version = "2024.11.6"
@@ -1972,22 +1817,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/ed/e3/c446a64984ea9f69982ba1a69d4658d5014bc7a0ea468a07e1a1265db6e2/regex-2024.11.6-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:4f51f88c126370dcec4908576c5a627220da6c09d0bff31cfa89f2523843316d", size = 787733, upload-time = "2024-11-06T20:11:11.256Z" },
     { url = "https://files.pythonhosted.org/packages/2b/f1/e40c8373e3480e4f29f2692bd21b3e05f296d3afebc7e5dcf21b9756ca1c/regex-2024.11.6-cp313-cp313-win32.whl", hash = "sha256:63b13cfd72e9601125027202cad74995ab26921d8cd935c25f09c630436348ff", size = 262122, upload-time = "2024-11-06T20:11:13.161Z" },
     { url = "https://files.pythonhosted.org/packages/45/94/bc295babb3062a731f52621cdc992d123111282e291abaf23faa413443ea/regex-2024.11.6-cp313-cp313-win_amd64.whl", hash = "sha256:2b3361af3198667e99927da8b84c1b010752fa4b1115ee30beaa332cabc3ef1a", size = 273545, upload-time = "2024-11-06T20:11:15Z" },
-    { url = "https://files.pythonhosted.org/packages/89/23/c4a86df398e57e26f93b13ae63acce58771e04bdde86092502496fa57f9c/regex-2024.11.6-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:5704e174f8ccab2026bd2f1ab6c510345ae8eac818b613d7d73e785f1310f839", size = 482682, upload-time = "2024-11-06T20:11:52.65Z" },
-    { url = "https://files.pythonhosted.org/packages/3c/8b/45c24ab7a51a1658441b961b86209c43e6bb9d39caf1e63f46ce6ea03bc7/regex-2024.11.6-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:220902c3c5cc6af55d4fe19ead504de80eb91f786dc102fbd74894b1551f095e", size = 287679, upload-time = "2024-11-06T20:11:55.011Z" },
-    { url = "https://files.pythonhosted.org/packages/7a/d1/598de10b17fdafc452d11f7dada11c3be4e379a8671393e4e3da3c4070df/regex-2024.11.6-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:5e7e351589da0850c125f1600a4c4ba3c722efefe16b297de54300f08d734fbf", size = 284578, upload-time = "2024-11-06T20:11:57.033Z" },
-    { url = "https://files.pythonhosted.org/packages/49/70/c7eaa219efa67a215846766fde18d92d54cb590b6a04ffe43cef30057622/regex-2024.11.6-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5056b185ca113c88e18223183aa1a50e66507769c9640a6ff75859619d73957b", size = 782012, upload-time = "2024-11-06T20:11:59.218Z" },
-    { url = "https://files.pythonhosted.org/packages/89/e5/ef52c7eb117dd20ff1697968219971d052138965a4d3d9b95e92e549f505/regex-2024.11.6-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:2e34b51b650b23ed3354b5a07aab37034d9f923db2a40519139af34f485f77d0", size = 820580, upload-time = "2024-11-06T20:12:01.969Z" },
-    { url = "https://files.pythonhosted.org/packages/5f/3f/9f5da81aff1d4167ac52711acf789df13e789fe6ac9545552e49138e3282/regex-2024.11.6-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5670bce7b200273eee1840ef307bfa07cda90b38ae56e9a6ebcc9f50da9c469b", size = 809110, upload-time = "2024-11-06T20:12:04.786Z" },
-    { url = "https://files.pythonhosted.org/packages/86/44/2101cc0890c3621b90365c9ee8d7291a597c0722ad66eccd6ffa7f1bcc09/regex-2024.11.6-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:08986dce1339bc932923e7d1232ce9881499a0e02925f7402fb7c982515419ef", size = 780919, upload-time = "2024-11-06T20:12:06.944Z" },
-    { url = "https://files.pythonhosted.org/packages/ce/2e/3e0668d8d1c7c3c0d397bf54d92fc182575b3a26939aed5000d3cc78760f/regex-2024.11.6-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:93c0b12d3d3bc25af4ebbf38f9ee780a487e8bf6954c115b9f015822d3bb8e48", size = 771515, upload-time = "2024-11-06T20:12:09.9Z" },
-    { url = "https://files.pythonhosted.org/packages/a6/49/1bc4584254355e3dba930a3a2fd7ad26ccba3ebbab7d9100db0aff2eedb0/regex-2024.11.6-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:764e71f22ab3b305e7f4c21f1a97e1526a25ebdd22513e251cf376760213da13", size = 696957, upload-time = "2024-11-06T20:12:12.319Z" },
-    { url = "https://files.pythonhosted.org/packages/c8/dd/42879c1fc8a37a887cd08e358af3d3ba9e23038cd77c7fe044a86d9450ba/regex-2024.11.6-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:f056bf21105c2515c32372bbc057f43eb02aae2fda61052e2f7622c801f0b4e2", size = 768088, upload-time = "2024-11-06T20:12:15.149Z" },
-    { url = "https://files.pythonhosted.org/packages/89/96/c05a0fe173cd2acd29d5e13c1adad8b706bcaa71b169e1ee57dcf2e74584/regex-2024.11.6-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:69ab78f848845569401469da20df3e081e6b5a11cb086de3eed1d48f5ed57c95", size = 774752, upload-time = "2024-11-06T20:12:17.416Z" },
-    { url = "https://files.pythonhosted.org/packages/b5/f3/a757748066255f97f14506483436c5f6aded7af9e37bca04ec30c90ca683/regex-2024.11.6-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:86fddba590aad9208e2fa8b43b4c098bb0ec74f15718bb6a704e3c63e2cef3e9", size = 838862, upload-time = "2024-11-06T20:12:19.639Z" },
-    { url = "https://files.pythonhosted.org/packages/5c/93/c6d2092fd479dcaeea40fc8fa673822829181ded77d294a7f950f1dda6e2/regex-2024.11.6-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:684d7a212682996d21ca12ef3c17353c021fe9de6049e19ac8481ec35574a70f", size = 842622, upload-time = "2024-11-06T20:12:21.841Z" },
-    { url = "https://files.pythonhosted.org/packages/ff/9c/daa99532c72f25051a90ef90e1413a8d54413a9e64614d9095b0c1c154d0/regex-2024.11.6-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:a03e02f48cd1abbd9f3b7e3586d97c8f7a9721c436f51a5245b3b9483044480b", size = 772713, upload-time = "2024-11-06T20:12:24.785Z" },
-    { url = "https://files.pythonhosted.org/packages/13/5d/61a533ccb8c231b474ac8e3a7d70155b00dfc61af6cafdccd1947df6d735/regex-2024.11.6-cp39-cp39-win32.whl", hash = "sha256:41758407fc32d5c3c5de163888068cfee69cb4c2be844e7ac517a52770f9af57", size = 261756, upload-time = "2024-11-06T20:12:26.975Z" },
-    { url = "https://files.pythonhosted.org/packages/dc/7b/e59b7f7c91ae110d154370c24133f947262525b5d6406df65f23422acc17/regex-2024.11.6-cp39-cp39-win_amd64.whl", hash = "sha256:b2837718570f95dd41675328e111345f9b7095d821bac435aac173ac80b19983", size = 274110, upload-time = "2024-11-06T20:12:29.368Z" },
 ]
 
 [[package]]
@@ -2018,6 +1847,128 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/bb/ad/fdd56219f0e320293c513ef0b3cdd018802a1bcfdb29ed9bc0c3bcb97f31/responses-0.21.0-py3-none-any.whl", hash = "sha256:2dcc863ba63963c0c3d9ee3fa9507cbe36b7d7b0fccb4f0bdfd9e96c539b1487", size = 45987, upload-time = "2022-05-25T14:20:48.508Z" },
 ]
 
+[[package]]
+name = "rpds-py"
+version = "0.30.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/20/af/3f2f423103f1113b36230496629986e0ef7e199d2aa8392452b484b38ced/rpds_py-0.30.0.tar.gz", hash = "sha256:dd8ff7cf90014af0c0f787eea34794ebf6415242ee1d6fa91eaba725cc441e84", size = 69469, upload-time = "2025-11-30T20:24:38.837Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/06/0c/0c411a0ec64ccb6d104dcabe0e713e05e153a9a2c3c2bd2b32ce412166fe/rpds_py-0.30.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:679ae98e00c0e8d68a7fda324e16b90fd5260945b45d3b824c892cec9eea3288", size = 370490, upload-time = "2025-11-30T20:21:33.256Z" },
+    { url = "https://files.pythonhosted.org/packages/19/6a/4ba3d0fb7297ebae71171822554abe48d7cab29c28b8f9f2c04b79988c05/rpds_py-0.30.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:4cc2206b76b4f576934f0ed374b10d7ca5f457858b157ca52064bdfc26b9fc00", size = 359751, upload-time = "2025-11-30T20:21:34.591Z" },
+    { url = "https://files.pythonhosted.org/packages/cd/7c/e4933565ef7f7a0818985d87c15d9d273f1a649afa6a52ea35ad011195ea/rpds_py-0.30.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:389a2d49eded1896c3d48b0136ead37c48e221b391c052fba3f4055c367f60a6", size = 389696, upload-time = "2025-11-30T20:21:36.122Z" },
+    { url = "https://files.pythonhosted.org/packages/5e/01/6271a2511ad0815f00f7ed4390cf2567bec1d4b1da39e2c27a41e6e3b4de/rpds_py-0.30.0-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:32c8528634e1bf7121f3de08fa85b138f4e0dc47657866630611b03967f041d7", size = 403136, upload-time = "2025-11-30T20:21:37.728Z" },
+    { url = "https://files.pythonhosted.org/packages/55/64/c857eb7cd7541e9b4eee9d49c196e833128a55b89a9850a9c9ac33ccf897/rpds_py-0.30.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f207f69853edd6f6700b86efb84999651baf3789e78a466431df1331608e5324", size = 524699, upload-time = "2025-11-30T20:21:38.92Z" },
+    { url = "https://files.pythonhosted.org/packages/9c/ed/94816543404078af9ab26159c44f9e98e20fe47e2126d5d32c9d9948d10a/rpds_py-0.30.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:67b02ec25ba7a9e8fa74c63b6ca44cf5707f2fbfadae3ee8e7494297d56aa9df", size = 412022, upload-time = "2025-11-30T20:21:40.407Z" },
+    { url = "https://files.pythonhosted.org/packages/61/b5/707f6cf0066a6412aacc11d17920ea2e19e5b2f04081c64526eb35b5c6e7/rpds_py-0.30.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0c0e95f6819a19965ff420f65578bacb0b00f251fefe2c8b23347c37174271f3", size = 390522, upload-time = "2025-11-30T20:21:42.17Z" },
+    { url = "https://files.pythonhosted.org/packages/13/4e/57a85fda37a229ff4226f8cbcf09f2a455d1ed20e802ce5b2b4a7f5ed053/rpds_py-0.30.0-cp310-cp310-manylinux_2_31_riscv64.whl", hash = "sha256:a452763cc5198f2f98898eb98f7569649fe5da666c2dc6b5ddb10fde5a574221", size = 404579, upload-time = "2025-11-30T20:21:43.769Z" },
+    { url = "https://files.pythonhosted.org/packages/f9/da/c9339293513ec680a721e0e16bf2bac3db6e5d7e922488de471308349bba/rpds_py-0.30.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:e0b65193a413ccc930671c55153a03ee57cecb49e6227204b04fae512eb657a7", size = 421305, upload-time = "2025-11-30T20:21:44.994Z" },
+    { url = "https://files.pythonhosted.org/packages/f9/be/522cb84751114f4ad9d822ff5a1aa3c98006341895d5f084779b99596e5c/rpds_py-0.30.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:858738e9c32147f78b3ac24dc0edb6610000e56dc0f700fd5f651d0a0f0eb9ff", size = 572503, upload-time = "2025-11-30T20:21:46.91Z" },
+    { url = "https://files.pythonhosted.org/packages/a2/9b/de879f7e7ceddc973ea6e4629e9b380213a6938a249e94b0cdbcc325bb66/rpds_py-0.30.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:da279aa314f00acbb803da1e76fa18666778e8a8f83484fba94526da5de2cba7", size = 598322, upload-time = "2025-11-30T20:21:48.709Z" },
+    { url = "https://files.pythonhosted.org/packages/48/ac/f01fc22efec3f37d8a914fc1b2fb9bcafd56a299edbe96406f3053edea5a/rpds_py-0.30.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:7c64d38fb49b6cdeda16ab49e35fe0da2e1e9b34bc38bd78386530f218b37139", size = 560792, upload-time = "2025-11-30T20:21:50.024Z" },
+    { url = "https://files.pythonhosted.org/packages/e2/da/4e2b19d0f131f35b6146425f846563d0ce036763e38913d917187307a671/rpds_py-0.30.0-cp310-cp310-win32.whl", hash = "sha256:6de2a32a1665b93233cde140ff8b3467bdb9e2af2b91079f0333a0974d12d464", size = 221901, upload-time = "2025-11-30T20:21:51.32Z" },
+    { url = "https://files.pythonhosted.org/packages/96/cb/156d7a5cf4f78a7cc571465d8aec7a3c447c94f6749c5123f08438bcf7bc/rpds_py-0.30.0-cp310-cp310-win_amd64.whl", hash = "sha256:1726859cd0de969f88dc8673bdd954185b9104e05806be64bcd87badbe313169", size = 235823, upload-time = "2025-11-30T20:21:52.505Z" },
+    { url = "https://files.pythonhosted.org/packages/4d/6e/f964e88b3d2abee2a82c1ac8366da848fce1c6d834dc2132c3fda3970290/rpds_py-0.30.0-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:a2bffea6a4ca9f01b3f8e548302470306689684e61602aa3d141e34da06cf425", size = 370157, upload-time = "2025-11-30T20:21:53.789Z" },
+    { url = "https://files.pythonhosted.org/packages/94/ba/24e5ebb7c1c82e74c4e4f33b2112a5573ddc703915b13a073737b59b86e0/rpds_py-0.30.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:dc4f992dfe1e2bc3ebc7444f6c7051b4bc13cd8e33e43511e8ffd13bf407010d", size = 359676, upload-time = "2025-11-30T20:21:55.475Z" },
+    { url = "https://files.pythonhosted.org/packages/84/86/04dbba1b087227747d64d80c3b74df946b986c57af0a9f0c98726d4d7a3b/rpds_py-0.30.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:422c3cb9856d80b09d30d2eb255d0754b23e090034e1deb4083f8004bd0761e4", size = 389938, upload-time = "2025-11-30T20:21:57.079Z" },
+    { url = "https://files.pythonhosted.org/packages/42/bb/1463f0b1722b7f45431bdd468301991d1328b16cffe0b1c2918eba2c4eee/rpds_py-0.30.0-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:07ae8a593e1c3c6b82ca3292efbe73c30b61332fd612e05abee07c79359f292f", size = 402932, upload-time = "2025-11-30T20:21:58.47Z" },
+    { url = "https://files.pythonhosted.org/packages/99/ee/2520700a5c1f2d76631f948b0736cdf9b0acb25abd0ca8e889b5c62ac2e3/rpds_py-0.30.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:12f90dd7557b6bd57f40abe7747e81e0c0b119bef015ea7726e69fe550e394a4", size = 525830, upload-time = "2025-11-30T20:21:59.699Z" },
+    { url = "https://files.pythonhosted.org/packages/e0/ad/bd0331f740f5705cc555a5e17fdf334671262160270962e69a2bdef3bf76/rpds_py-0.30.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:99b47d6ad9a6da00bec6aabe5a6279ecd3c06a329d4aa4771034a21e335c3a97", size = 412033, upload-time = "2025-11-30T20:22:00.991Z" },
+    { url = "https://files.pythonhosted.org/packages/f8/1e/372195d326549bb51f0ba0f2ecb9874579906b97e08880e7a65c3bef1a99/rpds_py-0.30.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:33f559f3104504506a44bb666b93a33f5d33133765b0c216a5bf2f1e1503af89", size = 390828, upload-time = "2025-11-30T20:22:02.723Z" },
+    { url = "https://files.pythonhosted.org/packages/ab/2b/d88bb33294e3e0c76bc8f351a3721212713629ffca1700fa94979cb3eae8/rpds_py-0.30.0-cp311-cp311-manylinux_2_31_riscv64.whl", hash = "sha256:946fe926af6e44f3697abbc305ea168c2c31d3e3ef1058cf68f379bf0335a78d", size = 404683, upload-time = "2025-11-30T20:22:04.367Z" },
+    { url = "https://files.pythonhosted.org/packages/50/32/c759a8d42bcb5289c1fac697cd92f6fe01a018dd937e62ae77e0e7f15702/rpds_py-0.30.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:495aeca4b93d465efde585977365187149e75383ad2684f81519f504f5c13038", size = 421583, upload-time = "2025-11-30T20:22:05.814Z" },
+    { url = "https://files.pythonhosted.org/packages/2b/81/e729761dbd55ddf5d84ec4ff1f47857f4374b0f19bdabfcf929164da3e24/rpds_py-0.30.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:d9a0ca5da0386dee0655b4ccdf46119df60e0f10da268d04fe7cc87886872ba7", size = 572496, upload-time = "2025-11-30T20:22:07.713Z" },
+    { url = "https://files.pythonhosted.org/packages/14/f6/69066a924c3557c9c30baa6ec3a0aa07526305684c6f86c696b08860726c/rpds_py-0.30.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:8d6d1cc13664ec13c1b84241204ff3b12f9bb82464b8ad6e7a5d3486975c2eed", size = 598669, upload-time = "2025-11-30T20:22:09.312Z" },
+    { url = "https://files.pythonhosted.org/packages/5f/48/905896b1eb8a05630d20333d1d8ffd162394127b74ce0b0784ae04498d32/rpds_py-0.30.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:3896fa1be39912cf0757753826bc8bdc8ca331a28a7c4ae46b7a21280b06bb85", size = 561011, upload-time = "2025-11-30T20:22:11.309Z" },
+    { url = "https://files.pythonhosted.org/packages/22/16/cd3027c7e279d22e5eb431dd3c0fbc677bed58797fe7581e148f3f68818b/rpds_py-0.30.0-cp311-cp311-win32.whl", hash = "sha256:55f66022632205940f1827effeff17c4fa7ae1953d2b74a8581baaefb7d16f8c", size = 221406, upload-time = "2025-11-30T20:22:13.101Z" },
+    { url = "https://files.pythonhosted.org/packages/fa/5b/e7b7aa136f28462b344e652ee010d4de26ee9fd16f1bfd5811f5153ccf89/rpds_py-0.30.0-cp311-cp311-win_amd64.whl", hash = "sha256:a51033ff701fca756439d641c0ad09a41d9242fa69121c7d8769604a0a629825", size = 236024, upload-time = "2025-11-30T20:22:14.853Z" },
+    { url = "https://files.pythonhosted.org/packages/14/a6/364bba985e4c13658edb156640608f2c9e1d3ea3c81b27aa9d889fff0e31/rpds_py-0.30.0-cp311-cp311-win_arm64.whl", hash = "sha256:47b0ef6231c58f506ef0b74d44e330405caa8428e770fec25329ed2cb971a229", size = 229069, upload-time = "2025-11-30T20:22:16.577Z" },
+    { url = "https://files.pythonhosted.org/packages/03/e7/98a2f4ac921d82f33e03f3835f5bf3a4a40aa1bfdc57975e74a97b2b4bdd/rpds_py-0.30.0-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:a161f20d9a43006833cd7068375a94d035714d73a172b681d8881820600abfad", size = 375086, upload-time = "2025-11-30T20:22:17.93Z" },
+    { url = "https://files.pythonhosted.org/packages/4d/a1/bca7fd3d452b272e13335db8d6b0b3ecde0f90ad6f16f3328c6fb150c889/rpds_py-0.30.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:6abc8880d9d036ecaafe709079969f56e876fcf107f7a8e9920ba6d5a3878d05", size = 359053, upload-time = "2025-11-30T20:22:19.297Z" },
+    { url = "https://files.pythonhosted.org/packages/65/1c/ae157e83a6357eceff62ba7e52113e3ec4834a84cfe07fa4b0757a7d105f/rpds_py-0.30.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ca28829ae5f5d569bb62a79512c842a03a12576375d5ece7d2cadf8abe96ec28", size = 390763, upload-time = "2025-11-30T20:22:21.661Z" },
+    { url = "https://files.pythonhosted.org/packages/d4/36/eb2eb8515e2ad24c0bd43c3ee9cd74c33f7ca6430755ccdb240fd3144c44/rpds_py-0.30.0-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:a1010ed9524c73b94d15919ca4d41d8780980e1765babf85f9a2f90d247153dd", size = 408951, upload-time = "2025-11-30T20:22:23.408Z" },
+    { url = "https://files.pythonhosted.org/packages/d6/65/ad8dc1784a331fabbd740ef6f71ce2198c7ed0890dab595adb9ea2d775a1/rpds_py-0.30.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f8d1736cfb49381ba528cd5baa46f82fdc65c06e843dab24dd70b63d09121b3f", size = 514622, upload-time = "2025-11-30T20:22:25.16Z" },
+    { url = "https://files.pythonhosted.org/packages/63/8e/0cfa7ae158e15e143fe03993b5bcd743a59f541f5952e1546b1ac1b5fd45/rpds_py-0.30.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d948b135c4693daff7bc2dcfc4ec57237a29bd37e60c2fabf5aff2bbacf3e2f1", size = 414492, upload-time = "2025-11-30T20:22:26.505Z" },
+    { url = "https://files.pythonhosted.org/packages/60/1b/6f8f29f3f995c7ffdde46a626ddccd7c63aefc0efae881dc13b6e5d5bb16/rpds_py-0.30.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:47f236970bccb2233267d89173d3ad2703cd36a0e2a6e92d0560d333871a3d23", size = 394080, upload-time = "2025-11-30T20:22:27.934Z" },
+    { url = "https://files.pythonhosted.org/packages/6d/d5/a266341051a7a3ca2f4b750a3aa4abc986378431fc2da508c5034d081b70/rpds_py-0.30.0-cp312-cp312-manylinux_2_31_riscv64.whl", hash = "sha256:2e6ecb5a5bcacf59c3f912155044479af1d0b6681280048b338b28e364aca1f6", size = 408680, upload-time = "2025-11-30T20:22:29.341Z" },
+    { url = "https://files.pythonhosted.org/packages/10/3b/71b725851df9ab7a7a4e33cf36d241933da66040d195a84781f49c50490c/rpds_py-0.30.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:a8fa71a2e078c527c3e9dc9fc5a98c9db40bcc8a92b4e8858e36d329f8684b51", size = 423589, upload-time = "2025-11-30T20:22:31.469Z" },
+    { url = "https://files.pythonhosted.org/packages/00/2b/e59e58c544dc9bd8bd8384ecdb8ea91f6727f0e37a7131baeff8d6f51661/rpds_py-0.30.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:73c67f2db7bc334e518d097c6d1e6fed021bbc9b7d678d6cc433478365d1d5f5", size = 573289, upload-time = "2025-11-30T20:22:32.997Z" },
+    { url = "https://files.pythonhosted.org/packages/da/3e/a18e6f5b460893172a7d6a680e86d3b6bc87a54c1f0b03446a3c8c7b588f/rpds_py-0.30.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:5ba103fb455be00f3b1c2076c9d4264bfcb037c976167a6047ed82f23153f02e", size = 599737, upload-time = "2025-11-30T20:22:34.419Z" },
+    { url = "https://files.pythonhosted.org/packages/5c/e2/714694e4b87b85a18e2c243614974413c60aa107fd815b8cbc42b873d1d7/rpds_py-0.30.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:7cee9c752c0364588353e627da8a7e808a66873672bcb5f52890c33fd965b394", size = 563120, upload-time = "2025-11-30T20:22:35.903Z" },
+    { url = "https://files.pythonhosted.org/packages/6f/ab/d5d5e3bcedb0a77f4f613706b750e50a5a3ba1c15ccd3665ecc636c968fd/rpds_py-0.30.0-cp312-cp312-win32.whl", hash = "sha256:1ab5b83dbcf55acc8b08fc62b796ef672c457b17dbd7820a11d6c52c06839bdf", size = 223782, upload-time = "2025-11-30T20:22:37.271Z" },
+    { url = "https://files.pythonhosted.org/packages/39/3b/f786af9957306fdc38a74cef405b7b93180f481fb48453a114bb6465744a/rpds_py-0.30.0-cp312-cp312-win_amd64.whl", hash = "sha256:a090322ca841abd453d43456ac34db46e8b05fd9b3b4ac0c78bcde8b089f959b", size = 240463, upload-time = "2025-11-30T20:22:39.021Z" },
+    { url = "https://files.pythonhosted.org/packages/f3/d2/b91dc748126c1559042cfe41990deb92c4ee3e2b415f6b5234969ffaf0cc/rpds_py-0.30.0-cp312-cp312-win_arm64.whl", hash = "sha256:669b1805bd639dd2989b281be2cfd951c6121b65e729d9b843e9639ef1fd555e", size = 230868, upload-time = "2025-11-30T20:22:40.493Z" },
+    { url = "https://files.pythonhosted.org/packages/ed/dc/d61221eb88ff410de3c49143407f6f3147acf2538c86f2ab7ce65ae7d5f9/rpds_py-0.30.0-cp313-cp313-macosx_10_12_x86_64.whl", hash = "sha256:f83424d738204d9770830d35290ff3273fbb02b41f919870479fab14b9d303b2", size = 374887, upload-time = "2025-11-30T20:22:41.812Z" },
+    { url = "https://files.pythonhosted.org/packages/fd/32/55fb50ae104061dbc564ef15cc43c013dc4a9f4527a1f4d99baddf56fe5f/rpds_py-0.30.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:e7536cd91353c5273434b4e003cbda89034d67e7710eab8761fd918ec6c69cf8", size = 358904, upload-time = "2025-11-30T20:22:43.479Z" },
+    { url = "https://files.pythonhosted.org/packages/58/70/faed8186300e3b9bdd138d0273109784eea2396c68458ed580f885dfe7ad/rpds_py-0.30.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2771c6c15973347f50fece41fc447c054b7ac2ae0502388ce3b6738cd366e3d4", size = 389945, upload-time = "2025-11-30T20:22:44.819Z" },
+    { url = "https://files.pythonhosted.org/packages/bd/a8/073cac3ed2c6387df38f71296d002ab43496a96b92c823e76f46b8af0543/rpds_py-0.30.0-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:0a59119fc6e3f460315fe9d08149f8102aa322299deaa5cab5b40092345c2136", size = 407783, upload-time = "2025-11-30T20:22:46.103Z" },
+    { url = "https://files.pythonhosted.org/packages/77/57/5999eb8c58671f1c11eba084115e77a8899d6e694d2a18f69f0ba471ec8b/rpds_py-0.30.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:76fec018282b4ead0364022e3c54b60bf368b9d926877957a8624b58419169b7", size = 515021, upload-time = "2025-11-30T20:22:47.458Z" },
+    { url = "https://files.pythonhosted.org/packages/e0/af/5ab4833eadc36c0a8ed2bc5c0de0493c04f6c06de223170bd0798ff98ced/rpds_py-0.30.0-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:692bef75a5525db97318e8cd061542b5a79812d711ea03dbc1f6f8dbb0c5f0d2", size = 414589, upload-time = "2025-11-30T20:22:48.872Z" },
+    { url = "https://files.pythonhosted.org/packages/b7/de/f7192e12b21b9e9a68a6d0f249b4af3fdcdff8418be0767a627564afa1f1/rpds_py-0.30.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9027da1ce107104c50c81383cae773ef5c24d296dd11c99e2629dbd7967a20c6", size = 394025, upload-time = "2025-11-30T20:22:50.196Z" },
+    { url = "https://files.pythonhosted.org/packages/91/c4/fc70cd0249496493500e7cc2de87504f5aa6509de1e88623431fec76d4b6/rpds_py-0.30.0-cp313-cp313-manylinux_2_31_riscv64.whl", hash = "sha256:9cf69cdda1f5968a30a359aba2f7f9aa648a9ce4b580d6826437f2b291cfc86e", size = 408895, upload-time = "2025-11-30T20:22:51.87Z" },
+    { url = "https://files.pythonhosted.org/packages/58/95/d9275b05ab96556fefff73a385813eb66032e4c99f411d0795372d9abcea/rpds_py-0.30.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:a4796a717bf12b9da9d3ad002519a86063dcac8988b030e405704ef7d74d2d9d", size = 422799, upload-time = "2025-11-30T20:22:53.341Z" },
+    { url = "https://files.pythonhosted.org/packages/06/c1/3088fc04b6624eb12a57eb814f0d4997a44b0d208d6cace713033ff1a6ba/rpds_py-0.30.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:5d4c2aa7c50ad4728a094ebd5eb46c452e9cb7edbfdb18f9e1221f597a73e1e7", size = 572731, upload-time = "2025-11-30T20:22:54.778Z" },
+    { url = "https://files.pythonhosted.org/packages/d8/42/c612a833183b39774e8ac8fecae81263a68b9583ee343db33ab571a7ce55/rpds_py-0.30.0-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:ba81a9203d07805435eb06f536d95a266c21e5b2dfbf6517748ca40c98d19e31", size = 599027, upload-time = "2025-11-30T20:22:56.212Z" },
+    { url = "https://files.pythonhosted.org/packages/5f/60/525a50f45b01d70005403ae0e25f43c0384369ad24ffe46e8d9068b50086/rpds_py-0.30.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:945dccface01af02675628334f7cf49c2af4c1c904748efc5cf7bbdf0b579f95", size = 563020, upload-time = "2025-11-30T20:22:58.2Z" },
+    { url = "https://files.pythonhosted.org/packages/0b/5d/47c4655e9bcd5ca907148535c10e7d489044243cc9941c16ed7cd53be91d/rpds_py-0.30.0-cp313-cp313-win32.whl", hash = "sha256:b40fb160a2db369a194cb27943582b38f79fc4887291417685f3ad693c5a1d5d", size = 223139, upload-time = "2025-11-30T20:23:00.209Z" },
+    { url = "https://files.pythonhosted.org/packages/f2/e1/485132437d20aa4d3e1d8b3fb5a5e65aa8139f1e097080c2a8443201742c/rpds_py-0.30.0-cp313-cp313-win_amd64.whl", hash = "sha256:806f36b1b605e2d6a72716f321f20036b9489d29c51c91f4dd29a3e3afb73b15", size = 240224, upload-time = "2025-11-30T20:23:02.008Z" },
+    { url = "https://files.pythonhosted.org/packages/24/95/ffd128ed1146a153d928617b0ef673960130be0009c77d8fbf0abe306713/rpds_py-0.30.0-cp313-cp313-win_arm64.whl", hash = "sha256:d96c2086587c7c30d44f31f42eae4eac89b60dabbac18c7669be3700f13c3ce1", size = 230645, upload-time = "2025-11-30T20:23:03.43Z" },
+    { url = "https://files.pythonhosted.org/packages/ff/1b/b10de890a0def2a319a2626334a7f0ae388215eb60914dbac8a3bae54435/rpds_py-0.30.0-cp313-cp313t-macosx_10_12_x86_64.whl", hash = "sha256:eb0b93f2e5c2189ee831ee43f156ed34e2a89a78a66b98cadad955972548be5a", size = 364443, upload-time = "2025-11-30T20:23:04.878Z" },
+    { url = "https://files.pythonhosted.org/packages/0d/bf/27e39f5971dc4f305a4fb9c672ca06f290f7c4e261c568f3dea16a410d47/rpds_py-0.30.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:922e10f31f303c7c920da8981051ff6d8c1a56207dbdf330d9047f6d30b70e5e", size = 353375, upload-time = "2025-11-30T20:23:06.342Z" },
+    { url = "https://files.pythonhosted.org/packages/40/58/442ada3bba6e8e6615fc00483135c14a7538d2ffac30e2d933ccf6852232/rpds_py-0.30.0-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cdc62c8286ba9bf7f47befdcea13ea0e26bf294bda99758fd90535cbaf408000", size = 383850, upload-time = "2025-11-30T20:23:07.825Z" },
+    { url = "https://files.pythonhosted.org/packages/14/14/f59b0127409a33c6ef6f5c1ebd5ad8e32d7861c9c7adfa9a624fc3889f6c/rpds_py-0.30.0-cp313-cp313t-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:47f9a91efc418b54fb8190a6b4aa7813a23fb79c51f4bb84e418f5476c38b8db", size = 392812, upload-time = "2025-11-30T20:23:09.228Z" },
+    { url = "https://files.pythonhosted.org/packages/b3/66/e0be3e162ac299b3a22527e8913767d869e6cc75c46bd844aa43fb81ab62/rpds_py-0.30.0-cp313-cp313t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1f3587eb9b17f3789ad50824084fa6f81921bbf9a795826570bda82cb3ed91f2", size = 517841, upload-time = "2025-11-30T20:23:11.186Z" },
+    { url = "https://files.pythonhosted.org/packages/3d/55/fa3b9cf31d0c963ecf1ba777f7cf4b2a2c976795ac430d24a1f43d25a6ba/rpds_py-0.30.0-cp313-cp313t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:39c02563fc592411c2c61d26b6c5fe1e51eaa44a75aa2c8735ca88b0d9599daa", size = 408149, upload-time = "2025-11-30T20:23:12.864Z" },
+    { url = "https://files.pythonhosted.org/packages/60/ca/780cf3b1a32b18c0f05c441958d3758f02544f1d613abf9488cd78876378/rpds_py-0.30.0-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:51a1234d8febafdfd33a42d97da7a43f5dcb120c1060e352a3fbc0c6d36e2083", size = 383843, upload-time = "2025-11-30T20:23:14.638Z" },
+    { url = "https://files.pythonhosted.org/packages/82/86/d5f2e04f2aa6247c613da0c1dd87fcd08fa17107e858193566048a1e2f0a/rpds_py-0.30.0-cp313-cp313t-manylinux_2_31_riscv64.whl", hash = "sha256:eb2c4071ab598733724c08221091e8d80e89064cd472819285a9ab0f24bcedb9", size = 396507, upload-time = "2025-11-30T20:23:16.105Z" },
+    { url = "https://files.pythonhosted.org/packages/4b/9a/453255d2f769fe44e07ea9785c8347edaf867f7026872e76c1ad9f7bed92/rpds_py-0.30.0-cp313-cp313t-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:6bdfdb946967d816e6adf9a3d8201bfad269c67efe6cefd7093ef959683c8de0", size = 414949, upload-time = "2025-11-30T20:23:17.539Z" },
+    { url = "https://files.pythonhosted.org/packages/a3/31/622a86cdc0c45d6df0e9ccb6becdba5074735e7033c20e401a6d9d0e2ca0/rpds_py-0.30.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:c77afbd5f5250bf27bf516c7c4a016813eb2d3e116139aed0096940c5982da94", size = 565790, upload-time = "2025-11-30T20:23:19.029Z" },
+    { url = "https://files.pythonhosted.org/packages/1c/5d/15bbf0fb4a3f58a3b1c67855ec1efcc4ceaef4e86644665fff03e1b66d8d/rpds_py-0.30.0-cp313-cp313t-musllinux_1_2_i686.whl", hash = "sha256:61046904275472a76c8c90c9ccee9013d70a6d0f73eecefd38c1ae7c39045a08", size = 590217, upload-time = "2025-11-30T20:23:20.885Z" },
+    { url = "https://files.pythonhosted.org/packages/6d/61/21b8c41f68e60c8cc3b2e25644f0e3681926020f11d06ab0b78e3c6bbff1/rpds_py-0.30.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:4c5f36a861bc4b7da6516dbdf302c55313afa09b81931e8280361a4f6c9a2d27", size = 555806, upload-time = "2025-11-30T20:23:22.488Z" },
+    { url = "https://files.pythonhosted.org/packages/f9/39/7e067bb06c31de48de3eb200f9fc7c58982a4d3db44b07e73963e10d3be9/rpds_py-0.30.0-cp313-cp313t-win32.whl", hash = "sha256:3d4a69de7a3e50ffc214ae16d79d8fbb0922972da0356dcf4d0fdca2878559c6", size = 211341, upload-time = "2025-11-30T20:23:24.449Z" },
+    { url = "https://files.pythonhosted.org/packages/0a/4d/222ef0b46443cf4cf46764d9c630f3fe4abaa7245be9417e56e9f52b8f65/rpds_py-0.30.0-cp313-cp313t-win_amd64.whl", hash = "sha256:f14fc5df50a716f7ece6a80b6c78bb35ea2ca47c499e422aa4463455dd96d56d", size = 225768, upload-time = "2025-11-30T20:23:25.908Z" },
+    { url = "https://files.pythonhosted.org/packages/86/81/dad16382ebbd3d0e0328776d8fd7ca94220e4fa0798d1dc5e7da48cb3201/rpds_py-0.30.0-cp314-cp314-macosx_10_12_x86_64.whl", hash = "sha256:68f19c879420aa08f61203801423f6cd5ac5f0ac4ac82a2368a9fcd6a9a075e0", size = 362099, upload-time = "2025-11-30T20:23:27.316Z" },
+    { url = "https://files.pythonhosted.org/packages/2b/60/19f7884db5d5603edf3c6bce35408f45ad3e97e10007df0e17dd57af18f8/rpds_py-0.30.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:ec7c4490c672c1a0389d319b3a9cfcd098dcdc4783991553c332a15acf7249be", size = 353192, upload-time = "2025-11-30T20:23:29.151Z" },
+    { url = "https://files.pythonhosted.org/packages/bf/c4/76eb0e1e72d1a9c4703c69607cec123c29028bff28ce41588792417098ac/rpds_py-0.30.0-cp314-cp314-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f251c812357a3fed308d684a5079ddfb9d933860fc6de89f2b7ab00da481e65f", size = 384080, upload-time = "2025-11-30T20:23:30.785Z" },
+    { url = "https://files.pythonhosted.org/packages/72/87/87ea665e92f3298d1b26d78814721dc39ed8d2c74b86e83348d6b48a6f31/rpds_py-0.30.0-cp314-cp314-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:ac98b175585ecf4c0348fd7b29c3864bda53b805c773cbf7bfdaffc8070c976f", size = 394841, upload-time = "2025-11-30T20:23:32.209Z" },
+    { url = "https://files.pythonhosted.org/packages/77/ad/7783a89ca0587c15dcbf139b4a8364a872a25f861bdb88ed99f9b0dec985/rpds_py-0.30.0-cp314-cp314-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3e62880792319dbeb7eb866547f2e35973289e7d5696c6e295476448f5b63c87", size = 516670, upload-time = "2025-11-30T20:23:33.742Z" },
+    { url = "https://files.pythonhosted.org/packages/5b/3c/2882bdac942bd2172f3da574eab16f309ae10a3925644e969536553cb4ee/rpds_py-0.30.0-cp314-cp314-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4e7fc54e0900ab35d041b0601431b0a0eb495f0851a0639b6ef90f7741b39a18", size = 408005, upload-time = "2025-11-30T20:23:35.253Z" },
+    { url = "https://files.pythonhosted.org/packages/ce/81/9a91c0111ce1758c92516a3e44776920b579d9a7c09b2b06b642d4de3f0f/rpds_py-0.30.0-cp314-cp314-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:47e77dc9822d3ad616c3d5759ea5631a75e5809d5a28707744ef79d7a1bcfcad", size = 382112, upload-time = "2025-11-30T20:23:36.842Z" },
+    { url = "https://files.pythonhosted.org/packages/cf/8e/1da49d4a107027e5fbc64daeab96a0706361a2918da10cb41769244b805d/rpds_py-0.30.0-cp314-cp314-manylinux_2_31_riscv64.whl", hash = "sha256:b4dc1a6ff022ff85ecafef7979a2c6eb423430e05f1165d6688234e62ba99a07", size = 399049, upload-time = "2025-11-30T20:23:38.343Z" },
+    { url = "https://files.pythonhosted.org/packages/df/5a/7ee239b1aa48a127570ec03becbb29c9d5a9eb092febbd1699d567cae859/rpds_py-0.30.0-cp314-cp314-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:4559c972db3a360808309e06a74628b95eaccbf961c335c8fe0d590cf587456f", size = 415661, upload-time = "2025-11-30T20:23:40.263Z" },
+    { url = "https://files.pythonhosted.org/packages/70/ea/caa143cf6b772f823bc7929a45da1fa83569ee49b11d18d0ada7f5ee6fd6/rpds_py-0.30.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:0ed177ed9bded28f8deb6ab40c183cd1192aa0de40c12f38be4d59cd33cb5c65", size = 565606, upload-time = "2025-11-30T20:23:42.186Z" },
+    { url = "https://files.pythonhosted.org/packages/64/91/ac20ba2d69303f961ad8cf55bf7dbdb4763f627291ba3d0d7d67333cced9/rpds_py-0.30.0-cp314-cp314-musllinux_1_2_i686.whl", hash = "sha256:ad1fa8db769b76ea911cb4e10f049d80bf518c104f15b3edb2371cc65375c46f", size = 591126, upload-time = "2025-11-30T20:23:44.086Z" },
+    { url = "https://files.pythonhosted.org/packages/21/20/7ff5f3c8b00c8a95f75985128c26ba44503fb35b8e0259d812766ea966c7/rpds_py-0.30.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:46e83c697b1f1c72b50e5ee5adb4353eef7406fb3f2043d64c33f20ad1c2fc53", size = 553371, upload-time = "2025-11-30T20:23:46.004Z" },
+    { url = "https://files.pythonhosted.org/packages/72/c7/81dadd7b27c8ee391c132a6b192111ca58d866577ce2d9b0ca157552cce0/rpds_py-0.30.0-cp314-cp314-win32.whl", hash = "sha256:ee454b2a007d57363c2dfd5b6ca4a5d7e2c518938f8ed3b706e37e5d470801ed", size = 215298, upload-time = "2025-11-30T20:23:47.696Z" },
+    { url = "https://files.pythonhosted.org/packages/3e/d2/1aaac33287e8cfb07aab2e6b8ac1deca62f6f65411344f1433c55e6f3eb8/rpds_py-0.30.0-cp314-cp314-win_amd64.whl", hash = "sha256:95f0802447ac2d10bcc69f6dc28fe95fdf17940367b21d34e34c737870758950", size = 228604, upload-time = "2025-11-30T20:23:49.501Z" },
+    { url = "https://files.pythonhosted.org/packages/e8/95/ab005315818cc519ad074cb7784dae60d939163108bd2b394e60dc7b5461/rpds_py-0.30.0-cp314-cp314-win_arm64.whl", hash = "sha256:613aa4771c99f03346e54c3f038e4cc574ac09a3ddfb0e8878487335e96dead6", size = 222391, upload-time = "2025-11-30T20:23:50.96Z" },
+    { url = "https://files.pythonhosted.org/packages/9e/68/154fe0194d83b973cdedcdcc88947a2752411165930182ae41d983dcefa6/rpds_py-0.30.0-cp314-cp314t-macosx_10_12_x86_64.whl", hash = "sha256:7e6ecfcb62edfd632e56983964e6884851786443739dbfe3582947e87274f7cb", size = 364868, upload-time = "2025-11-30T20:23:52.494Z" },
+    { url = "https://files.pythonhosted.org/packages/83/69/8bbc8b07ec854d92a8b75668c24d2abcb1719ebf890f5604c61c9369a16f/rpds_py-0.30.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:a1d0bc22a7cdc173fedebb73ef81e07faef93692b8c1ad3733b67e31e1b6e1b8", size = 353747, upload-time = "2025-11-30T20:23:54.036Z" },
+    { url = "https://files.pythonhosted.org/packages/ab/00/ba2e50183dbd9abcce9497fa5149c62b4ff3e22d338a30d690f9af970561/rpds_py-0.30.0-cp314-cp314t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0d08f00679177226c4cb8c5265012eea897c8ca3b93f429e546600c971bcbae7", size = 383795, upload-time = "2025-11-30T20:23:55.556Z" },
+    { url = "https://files.pythonhosted.org/packages/05/6f/86f0272b84926bcb0e4c972262f54223e8ecc556b3224d281e6598fc9268/rpds_py-0.30.0-cp314-cp314t-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:5965af57d5848192c13534f90f9dd16464f3c37aaf166cc1da1cae1fd5a34898", size = 393330, upload-time = "2025-11-30T20:23:57.033Z" },
+    { url = "https://files.pythonhosted.org/packages/cb/e9/0e02bb2e6dc63d212641da45df2b0bf29699d01715913e0d0f017ee29438/rpds_py-0.30.0-cp314-cp314t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9a4e86e34e9ab6b667c27f3211ca48f73dba7cd3d90f8d5b11be56e5dbc3fb4e", size = 518194, upload-time = "2025-11-30T20:23:58.637Z" },
+    { url = "https://files.pythonhosted.org/packages/ee/ca/be7bca14cf21513bdf9c0606aba17d1f389ea2b6987035eb4f62bd923f25/rpds_py-0.30.0-cp314-cp314t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e5d3e6b26f2c785d65cc25ef1e5267ccbe1b069c5c21b8cc724efee290554419", size = 408340, upload-time = "2025-11-30T20:24:00.2Z" },
+    { url = "https://files.pythonhosted.org/packages/c2/c7/736e00ebf39ed81d75544c0da6ef7b0998f8201b369acf842f9a90dc8fce/rpds_py-0.30.0-cp314-cp314t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:626a7433c34566535b6e56a1b39a7b17ba961e97ce3b80ec62e6f1312c025551", size = 383765, upload-time = "2025-11-30T20:24:01.759Z" },
+    { url = "https://files.pythonhosted.org/packages/4a/3f/da50dfde9956aaf365c4adc9533b100008ed31aea635f2b8d7b627e25b49/rpds_py-0.30.0-cp314-cp314t-manylinux_2_31_riscv64.whl", hash = "sha256:acd7eb3f4471577b9b5a41baf02a978e8bdeb08b4b355273994f8b87032000a8", size = 396834, upload-time = "2025-11-30T20:24:03.687Z" },
+    { url = "https://files.pythonhosted.org/packages/4e/00/34bcc2565b6020eab2623349efbdec810676ad571995911f1abdae62a3a0/rpds_py-0.30.0-cp314-cp314t-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:fe5fa731a1fa8a0a56b0977413f8cacac1768dad38d16b3a296712709476fbd5", size = 415470, upload-time = "2025-11-30T20:24:05.232Z" },
+    { url = "https://files.pythonhosted.org/packages/8c/28/882e72b5b3e6f718d5453bd4d0d9cf8df36fddeb4ddbbab17869d5868616/rpds_py-0.30.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:74a3243a411126362712ee1524dfc90c650a503502f135d54d1b352bd01f2404", size = 565630, upload-time = "2025-11-30T20:24:06.878Z" },
+    { url = "https://files.pythonhosted.org/packages/3b/97/04a65539c17692de5b85c6e293520fd01317fd878ea1995f0367d4532fb1/rpds_py-0.30.0-cp314-cp314t-musllinux_1_2_i686.whl", hash = "sha256:3e8eeb0544f2eb0d2581774be4c3410356eba189529a6b3e36bbbf9696175856", size = 591148, upload-time = "2025-11-30T20:24:08.445Z" },
+    { url = "https://files.pythonhosted.org/packages/85/70/92482ccffb96f5441aab93e26c4d66489eb599efdcf96fad90c14bbfb976/rpds_py-0.30.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:dbd936cde57abfee19ab3213cf9c26be06d60750e60a8e4dd85d1ab12c8b1f40", size = 556030, upload-time = "2025-11-30T20:24:10.956Z" },
+    { url = "https://files.pythonhosted.org/packages/20/53/7c7e784abfa500a2b6b583b147ee4bb5a2b3747a9166bab52fec4b5b5e7d/rpds_py-0.30.0-cp314-cp314t-win32.whl", hash = "sha256:dc824125c72246d924f7f796b4f63c1e9dc810c7d9e2355864b3c3a73d59ade0", size = 211570, upload-time = "2025-11-30T20:24:12.735Z" },
+    { url = "https://files.pythonhosted.org/packages/d0/02/fa464cdfbe6b26e0600b62c528b72d8608f5cc49f96b8d6e38c95d60c676/rpds_py-0.30.0-cp314-cp314t-win_amd64.whl", hash = "sha256:27f4b0e92de5bfbc6f86e43959e6edd1425c33b5e69aab0984a72047f2bcf1e3", size = 226532, upload-time = "2025-11-30T20:24:14.634Z" },
+    { url = "https://files.pythonhosted.org/packages/69/71/3f34339ee70521864411f8b6992e7ab13ac30d8e4e3309e07c7361767d91/rpds_py-0.30.0-pp311-pypy311_pp73-macosx_10_12_x86_64.whl", hash = "sha256:c2262bdba0ad4fc6fb5545660673925c2d2a5d9e2e0fb603aad545427be0fc58", size = 372292, upload-time = "2025-11-30T20:24:16.537Z" },
+    { url = "https://files.pythonhosted.org/packages/57/09/f183df9b8f2d66720d2ef71075c59f7e1b336bec7ee4c48f0a2b06857653/rpds_py-0.30.0-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:ee6af14263f25eedc3bb918a3c04245106a42dfd4f5c2285ea6f997b1fc3f89a", size = 362128, upload-time = "2025-11-30T20:24:18.086Z" },
+    { url = "https://files.pythonhosted.org/packages/7a/68/5c2594e937253457342e078f0cc1ded3dd7b2ad59afdbf2d354869110a02/rpds_py-0.30.0-pp311-pypy311_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3adbb8179ce342d235c31ab8ec511e66c73faa27a47e076ccc92421add53e2bb", size = 391542, upload-time = "2025-11-30T20:24:20.092Z" },
+    { url = "https://files.pythonhosted.org/packages/49/5c/31ef1afd70b4b4fbdb2800249f34c57c64beb687495b10aec0365f53dfc4/rpds_py-0.30.0-pp311-pypy311_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:250fa00e9543ac9b97ac258bd37367ff5256666122c2d0f2bc97577c60a1818c", size = 404004, upload-time = "2025-11-30T20:24:22.231Z" },
+    { url = "https://files.pythonhosted.org/packages/e3/63/0cfbea38d05756f3440ce6534d51a491d26176ac045e2707adc99bb6e60a/rpds_py-0.30.0-pp311-pypy311_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9854cf4f488b3d57b9aaeb105f06d78e5529d3145b1e4a41750167e8c213c6d3", size = 527063, upload-time = "2025-11-30T20:24:24.302Z" },
+    { url = "https://files.pythonhosted.org/packages/42/e6/01e1f72a2456678b0f618fc9a1a13f882061690893c192fcad9f2926553a/rpds_py-0.30.0-pp311-pypy311_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:993914b8e560023bc0a8bf742c5f303551992dcb85e247b1e5c7f4a7d145bda5", size = 413099, upload-time = "2025-11-30T20:24:25.916Z" },
+    { url = "https://files.pythonhosted.org/packages/b8/25/8df56677f209003dcbb180765520c544525e3ef21ea72279c98b9aa7c7fb/rpds_py-0.30.0-pp311-pypy311_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:58edca431fb9b29950807e301826586e5bbf24163677732429770a697ffe6738", size = 392177, upload-time = "2025-11-30T20:24:27.834Z" },
+    { url = "https://files.pythonhosted.org/packages/4a/b4/0a771378c5f16f8115f796d1f437950158679bcd2a7c68cf251cfb00ed5b/rpds_py-0.30.0-pp311-pypy311_pp73-manylinux_2_31_riscv64.whl", hash = "sha256:dea5b552272a944763b34394d04577cf0f9bd013207bc32323b5a89a53cf9c2f", size = 406015, upload-time = "2025-11-30T20:24:29.457Z" },
+    { url = "https://files.pythonhosted.org/packages/36/d8/456dbba0af75049dc6f63ff295a2f92766b9d521fa00de67a2bd6427d57a/rpds_py-0.30.0-pp311-pypy311_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:ba3af48635eb83d03f6c9735dfb21785303e73d22ad03d489e88adae6eab8877", size = 423736, upload-time = "2025-11-30T20:24:31.22Z" },
+    { url = "https://files.pythonhosted.org/packages/13/64/b4d76f227d5c45a7e0b796c674fd81b0a6c4fbd48dc29271857d8219571c/rpds_py-0.30.0-pp311-pypy311_pp73-musllinux_1_2_aarch64.whl", hash = "sha256:dff13836529b921e22f15cb099751209a60009731a68519630a24d61f0b1b30a", size = 573981, upload-time = "2025-11-30T20:24:32.934Z" },
+    { url = "https://files.pythonhosted.org/packages/20/91/092bacadeda3edf92bf743cc96a7be133e13a39cdbfd7b5082e7ab638406/rpds_py-0.30.0-pp311-pypy311_pp73-musllinux_1_2_i686.whl", hash = "sha256:1b151685b23929ab7beec71080a8889d4d6d9fa9a983d213f07121205d48e2c4", size = 599782, upload-time = "2025-11-30T20:24:35.169Z" },
+    { url = "https://files.pythonhosted.org/packages/d1/b7/b95708304cd49b7b6f82fdd039f1748b66ec2b21d6a45180910802f1abf1/rpds_py-0.30.0-pp311-pypy311_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:ac37f9f516c51e5753f27dfdef11a88330f04de2d564be3991384b2f3535d02e", size = 562191, upload-time = "2025-11-30T20:24:36.853Z" },
+]
+
 [[package]]
 name = "ruff"
 version = "0.11.10"
@@ -2043,55 +1994,12 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/95/3a/2e8704d19f376c799748ff9cb041225c1d59f3e7711bc5596c8cfdc24925/ruff-0.11.10-py3-none-win_arm64.whl", hash = "sha256:ef69637b35fb8b210743926778d0e45e1bffa850a7c61e428c6b971549b5f5d1", size = 10765278, upload-time = "2025-05-15T14:08:54.56Z" },
 ]
 
-[[package]]
-name = "scipy"
-version = "1.13.1"
-source = { registry = "https://pypi.org/simple" }
-resolution-markers = [
-    "python_full_version < '3.10'",
-]
-dependencies = [
-    { name = "numpy", version = "2.0.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.10'" },
-]
-sdist = { url = "https://files.pythonhosted.org/packages/ae/00/48c2f661e2816ccf2ecd77982f6605b2950afe60f60a52b4cbbc2504aa8f/scipy-1.13.1.tar.gz", hash = "sha256:095a87a0312b08dfd6a6155cbbd310a8c51800fc931b8c0b84003014b874ed3c", size = 57210720, upload-time = "2024-05-23T03:29:26.079Z" }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/33/59/41b2529908c002ade869623b87eecff3e11e3ce62e996d0bdcb536984187/scipy-1.13.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:20335853b85e9a49ff7572ab453794298bcf0354d8068c5f6775a0eabf350aca", size = 39328076, upload-time = "2024-05-23T03:19:01.687Z" },
-    { url = "https://files.pythonhosted.org/packages/d5/33/f1307601f492f764062ce7dd471a14750f3360e33cd0f8c614dae208492c/scipy-1.13.1-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:d605e9c23906d1994f55ace80e0125c587f96c020037ea6aa98d01b4bd2e222f", size = 30306232, upload-time = "2024-05-23T03:19:09.089Z" },
-    { url = "https://files.pythonhosted.org/packages/c0/66/9cd4f501dd5ea03e4a4572ecd874936d0da296bd04d1c45ae1a4a75d9c3a/scipy-1.13.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cfa31f1def5c819b19ecc3a8b52d28ffdcc7ed52bb20c9a7589669dd3c250989", size = 33743202, upload-time = "2024-05-23T03:19:15.138Z" },
-    { url = "https://files.pythonhosted.org/packages/a3/ba/7255e5dc82a65adbe83771c72f384d99c43063648456796436c9a5585ec3/scipy-1.13.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f26264b282b9da0952a024ae34710c2aff7d27480ee91a2e82b7b7073c24722f", size = 38577335, upload-time = "2024-05-23T03:19:21.984Z" },
-    { url = "https://files.pythonhosted.org/packages/49/a5/bb9ded8326e9f0cdfdc412eeda1054b914dfea952bda2097d174f8832cc0/scipy-1.13.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:eccfa1906eacc02de42d70ef4aecea45415f5be17e72b61bafcfd329bdc52e94", size = 38820728, upload-time = "2024-05-23T03:19:28.225Z" },
-    { url = "https://files.pythonhosted.org/packages/12/30/df7a8fcc08f9b4a83f5f27cfaaa7d43f9a2d2ad0b6562cced433e5b04e31/scipy-1.13.1-cp310-cp310-win_amd64.whl", hash = "sha256:2831f0dc9c5ea9edd6e51e6e769b655f08ec6db6e2e10f86ef39bd32eb11da54", size = 46210588, upload-time = "2024-05-23T03:19:35.661Z" },
-    { url = "https://files.pythonhosted.org/packages/b4/15/4a4bb1b15bbd2cd2786c4f46e76b871b28799b67891f23f455323a0cdcfb/scipy-1.13.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:27e52b09c0d3a1d5b63e1105f24177e544a222b43611aaf5bc44d4a0979e32f9", size = 39333805, upload-time = "2024-05-23T03:19:43.081Z" },
-    { url = "https://files.pythonhosted.org/packages/ba/92/42476de1af309c27710004f5cdebc27bec62c204db42e05b23a302cb0c9a/scipy-1.13.1-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:54f430b00f0133e2224c3ba42b805bfd0086fe488835effa33fa291561932326", size = 30317687, upload-time = "2024-05-23T03:19:48.799Z" },
-    { url = "https://files.pythonhosted.org/packages/80/ba/8be64fe225360a4beb6840f3cbee494c107c0887f33350d0a47d55400b01/scipy-1.13.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e89369d27f9e7b0884ae559a3a956e77c02114cc60a6058b4e5011572eea9299", size = 33694638, upload-time = "2024-05-23T03:19:55.104Z" },
-    { url = "https://files.pythonhosted.org/packages/36/07/035d22ff9795129c5a847c64cb43c1fa9188826b59344fee28a3ab02e283/scipy-1.13.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a78b4b3345f1b6f68a763c6e25c0c9a23a9fd0f39f5f3d200efe8feda560a5fa", size = 38569931, upload-time = "2024-05-23T03:20:01.82Z" },
-    { url = "https://files.pythonhosted.org/packages/d9/10/f9b43de37e5ed91facc0cfff31d45ed0104f359e4f9a68416cbf4e790241/scipy-1.13.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:45484bee6d65633752c490404513b9ef02475b4284c4cfab0ef946def50b3f59", size = 38838145, upload-time = "2024-05-23T03:20:09.173Z" },
-    { url = "https://files.pythonhosted.org/packages/4a/48/4513a1a5623a23e95f94abd675ed91cfb19989c58e9f6f7d03990f6caf3d/scipy-1.13.1-cp311-cp311-win_amd64.whl", hash = "sha256:5713f62f781eebd8d597eb3f88b8bf9274e79eeabf63afb4a737abc6c84ad37b", size = 46196227, upload-time = "2024-05-23T03:20:16.433Z" },
-    { url = "https://files.pythonhosted.org/packages/f2/7b/fb6b46fbee30fc7051913068758414f2721003a89dd9a707ad49174e3843/scipy-1.13.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:5d72782f39716b2b3509cd7c33cdc08c96f2f4d2b06d51e52fb45a19ca0c86a1", size = 39357301, upload-time = "2024-05-23T03:20:23.538Z" },
-    { url = "https://files.pythonhosted.org/packages/dc/5a/2043a3bde1443d94014aaa41e0b50c39d046dda8360abd3b2a1d3f79907d/scipy-1.13.1-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:017367484ce5498445aade74b1d5ab377acdc65e27095155e448c88497755a5d", size = 30363348, upload-time = "2024-05-23T03:20:29.885Z" },
-    { url = "https://files.pythonhosted.org/packages/e7/cb/26e4a47364bbfdb3b7fb3363be6d8a1c543bcd70a7753ab397350f5f189a/scipy-1.13.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:949ae67db5fa78a86e8fa644b9a6b07252f449dcf74247108c50e1d20d2b4627", size = 33406062, upload-time = "2024-05-23T03:20:36.012Z" },
-    { url = "https://files.pythonhosted.org/packages/88/ab/6ecdc526d509d33814835447bbbeedbebdec7cca46ef495a61b00a35b4bf/scipy-1.13.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:de3ade0e53bc1f21358aa74ff4830235d716211d7d077e340c7349bc3542e884", size = 38218311, upload-time = "2024-05-23T03:20:42.086Z" },
-    { url = "https://files.pythonhosted.org/packages/0b/00/9f54554f0f8318100a71515122d8f4f503b1a2c4b4cfab3b4b68c0eb08fa/scipy-1.13.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:2ac65fb503dad64218c228e2dc2d0a0193f7904747db43014645ae139c8fad16", size = 38442493, upload-time = "2024-05-23T03:20:48.292Z" },
-    { url = "https://files.pythonhosted.org/packages/3e/df/963384e90733e08eac978cd103c34df181d1fec424de383cdc443f418dd4/scipy-1.13.1-cp312-cp312-win_amd64.whl", hash = "sha256:cdd7dacfb95fea358916410ec61bbc20440f7860333aee6d882bb8046264e949", size = 45910955, upload-time = "2024-05-23T03:20:55.091Z" },
-    { url = "https://files.pythonhosted.org/packages/7f/29/c2ea58c9731b9ecb30b6738113a95d147e83922986b34c685b8f6eefde21/scipy-1.13.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:436bbb42a94a8aeef855d755ce5a465479c721e9d684de76bf61a62e7c2b81d5", size = 39352927, upload-time = "2024-05-23T03:21:01.95Z" },
-    { url = "https://files.pythonhosted.org/packages/5c/c0/e71b94b20ccf9effb38d7147c0064c08c622309fd487b1b677771a97d18c/scipy-1.13.1-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:8335549ebbca860c52bf3d02f80784e91a004b71b059e3eea9678ba994796a24", size = 30324538, upload-time = "2024-05-23T03:21:07.634Z" },
-    { url = "https://files.pythonhosted.org/packages/6d/0f/aaa55b06d474817cea311e7b10aab2ea1fd5d43bc6a2861ccc9caec9f418/scipy-1.13.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d533654b7d221a6a97304ab63c41c96473ff04459e404b83275b60aa8f4b7004", size = 33732190, upload-time = "2024-05-23T03:21:14.41Z" },
-    { url = "https://files.pythonhosted.org/packages/35/f5/d0ad1a96f80962ba65e2ce1de6a1e59edecd1f0a7b55990ed208848012e0/scipy-1.13.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:637e98dcf185ba7f8e663e122ebf908c4702420477ae52a04f9908707456ba4d", size = 38612244, upload-time = "2024-05-23T03:21:21.827Z" },
-    { url = "https://files.pythonhosted.org/packages/8d/02/1165905f14962174e6569076bcc3315809ae1291ed14de6448cc151eedfd/scipy-1.13.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:a014c2b3697bde71724244f63de2476925596c24285c7a637364761f8710891c", size = 38845637, upload-time = "2024-05-23T03:21:28.729Z" },
-    { url = "https://files.pythonhosted.org/packages/3e/77/dab54fe647a08ee4253963bcd8f9cf17509c8ca64d6335141422fe2e2114/scipy-1.13.1-cp39-cp39-win_amd64.whl", hash = "sha256:392e4ec766654852c25ebad4f64e4e584cf19820b980bc04960bca0b0cd6eaa2", size = 46227440, upload-time = "2024-05-23T03:21:35.888Z" },
-]
-
 [[package]]
 name = "scipy"
 version = "1.15.3"
 source = { registry = "https://pypi.org/simple" }
-resolution-markers = [
-    "python_full_version >= '3.12'",
-    "python_full_version == '3.11.*'",
-    "python_full_version == '3.10.*'",
-]
 dependencies = [
-    { name = "numpy", version = "2.2.5", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.10'" },
+    { name = "numpy" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/0f/37/6964b830433e654ec7485e45a00fc9a27cf868d622838f6b6d9c5ec0d532/scipy-1.15.3.tar.gz", hash = "sha256:eae3cf522bc7df64b42cad3925c876e1b0b6c35c1337c93e12c0f366f55b0eaf", size = 59419214, upload-time = "2025-05-08T16:13:05.955Z" }
 wheels = [
@@ -2173,6 +2081,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/b7/ce/149a00dd41f10bc29e5921b496af8b574d8413afcd5e30dfa0ed46c2cc5e/six-1.17.0-py2.py3-none-any.whl", hash = "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274", size = 11050, upload-time = "2024-12-04T17:35:26.475Z" },
 ]
 
+[[package]]
+name = "smmap"
+version = "5.0.3"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/1f/ea/49c993d6dfdd7338c9b1000a0f36817ed7ec84577ae2e52f890d1a4ff909/smmap-5.0.3.tar.gz", hash = "sha256:4d9debb8b99007ae47165abc08670bd74cb74b5227dda7f643eccc4e9eb5642c", size = 22506, upload-time = "2026-03-09T03:43:26.1Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/c1/d4/59e74daffcb57a07668852eeeb6035af9f32cbfd7a1d2511f17d2fe6a738/smmap-5.0.3-py3-none-any.whl", hash = "sha256:c106e05d5a61449cf6ba9a1e650227ecfb141590d2a98412103ff35d89fc7b2f", size = 24390, upload-time = "2026-03-09T03:43:24.361Z" },
+]
+
 [[package]]
 name = "sniffio"
 version = "1.3.1"
@@ -2182,18 +2099,24 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/e9/44/75a9c9421471a6c4805dbf2356f7c181a29c1879239abab1ea2cc8f38b40/sniffio-1.3.1-py3-none-any.whl", hash = "sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2", size = 10235, upload-time = "2024-02-25T23:20:01.196Z" },
 ]
 
+[[package]]
+name = "soupsieve"
+version = "2.8.3"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/7b/ae/2d9c981590ed9999a0d91755b47fc74f74de286b0f5cee14c9269041e6c4/soupsieve-2.8.3.tar.gz", hash = "sha256:3267f1eeea4251fb42728b6dfb746edc9acaffc4a45b27e19450b676586e8349", size = 118627, upload-time = "2026-01-20T04:27:02.457Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/46/2c/1462b1d0a634697ae9e55b3cecdcb64788e8b7d63f54d923fcd0bb140aed/soupsieve-2.8.3-py3-none-any.whl", hash = "sha256:ed64f2ba4eebeab06cc4962affce381647455978ffc1e36bb79a545b91f45a95", size = 37016, upload-time = "2026-01-20T04:27:01.012Z" },
+]
+
 [[package]]
 name = "spinplots"
-version = "0.2.0"
+version = "0.2.2"
 source = { editable = "." }
 dependencies = [
-    { name = "matplotlib", version = "3.9.4", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.10'" },
-    { name = "matplotlib", version = "3.10.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.10'" },
+    { name = "matplotlib" },
     { name = "nmrglue" },
-    { name = "numpy", version = "2.0.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.10'" },
-    { name = "numpy", version = "2.2.5", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.10'" },
+    { name = "numpy" },
     { name = "pandas" },
-    { name = "pytest" },
 ]
 
 [package.optional-dependencies]
@@ -2209,7 +2132,9 @@ docs = [
     { name = "mkdocs-gen-files" },
     { name = "mkdocs-literate-nav" },
     { name = "mkdocs-material" },
-    { name = "mkdocstrings", extra = ["python"] },
+    { name = "mkdocstrings" },
+    { name = "mkdocstrings-python" },
+    { name = "mknotebooks" },
     { name = "pillow" },
 ]
 
@@ -2222,12 +2147,13 @@ requires-dist = [
     { name = "mkdocs-gen-files", marker = "extra == 'docs'", specifier = ">=0.5.0" },
     { name = "mkdocs-literate-nav", marker = "extra == 'docs'", specifier = ">=0.6.0" },
     { name = "mkdocs-material", marker = "extra == 'docs'", specifier = ">=9.4.0" },
-    { name = "mkdocstrings", extras = ["python"], marker = "extra == 'docs'", specifier = ">=0.22.0" },
+    { name = "mkdocstrings", marker = "extra == 'docs'", specifier = ">=0.22.0" },
+    { name = "mkdocstrings-python", marker = "extra == 'docs'", specifier = ">=2.0.0" },
+    { name = "mknotebooks", marker = "extra == 'docs'" },
     { name = "nmrglue" },
     { name = "numpy" },
     { name = "pandas" },
     { name = "pillow", marker = "extra == 'docs'", specifier = ">=10.0.0" },
-    { name = "pytest", specifier = ">=8.3.5" },
     { name = "pytest", marker = "extra == 'dev'", specifier = ">=7.4.0" },
     { name = "pytest-cov", marker = "extra == 'dev'", specifier = ">=3.0.0" },
     { name = "ruff", marker = "extra == 'dev'", specifier = ">=0.0.285" },
@@ -2279,19 +2205,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/d0/1d/aec62518d90248fd5bab00245413ea81d5283f196fa124862eeded4ef692/test_results_parser-0.5.4-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:7ba3a7883b0fc1102a1306c2fb9e2ab65f6c9e47ff7136a16142694fce08aafb", size = 1247321, upload-time = "2025-03-04T16:38:43.383Z" },
     { url = "https://files.pythonhosted.org/packages/24/e3/b81fb40b2bfe8c1f5938c09a0e338c64a0ef380152c2910f93492d019fdc/test_results_parser-0.5.4-cp312-cp312-win32.whl", hash = "sha256:b2db33a1ab9b6e469f39a661c5807602562e96111a6d887692f4312bb9932500", size = 716564, upload-time = "2025-03-04T16:39:56.524Z" },
     { url = "https://files.pythonhosted.org/packages/d5/cb/7fcaa2de89d1553e0b989e3b160eb3448ad306c152d8b3b60426be2a2836/test_results_parser-0.5.4-cp312-cp312-win_amd64.whl", hash = "sha256:397ddb2285dc27e47f1785bd6239e80bdc632db99abe1f2698c1aa46c3bc5479", size = 792880, upload-time = "2025-03-04T16:39:49.32Z" },
-    { url = "https://files.pythonhosted.org/packages/3c/f3/531fce6858eff976ce39e3f1680d5bcb7243deb88277545cd434a2074cc1/test_results_parser-0.5.4-cp39-cp39-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl", hash = "sha256:fcbd1527fb49f21a6a87b748dddb29f67b5c0f42a8771874cd2a90095a7ad30d", size = 1886309, upload-time = "2025-03-04T16:39:43.724Z" },
-    { url = "https://files.pythonhosted.org/packages/a8/e6/c7e6081a452fe618d0fc70842d38ca05c2cc029c88f7f39fa959bfb4b873/test_results_parser-0.5.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b2c644c1c5d550478905ccc84ed85bf84968cf288464843de55dcbed3f8677aa", size = 1031334, upload-time = "2025-03-04T16:38:54.013Z" },
-    { url = "https://files.pythonhosted.org/packages/a9/3d/c9906af2c643c4ce98cd1fdd6a2ebde3968520455859a5f5a8054ef2af7d/test_results_parser-0.5.4-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:bb65f93908619ccf12b8f0e08aef0cebe7174b5eaefcc50eefe8c92a07b1ff8e", size = 986265, upload-time = "2025-03-04T16:39:02.888Z" },
-    { url = "https://files.pythonhosted.org/packages/47/0b/c50b7075ce65a8d8601f82e7b15582a2da386e047c8269afd65f89b29569/test_results_parser-0.5.4-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:dac11a2fb1903a18b136cae8fbe0b4c9ac3d217762b5e305d950a12c4791b61d", size = 1110519, upload-time = "2025-03-04T16:39:11.065Z" },
-    { url = "https://files.pythonhosted.org/packages/93/8b/b9eebf416c93eb6106ae0e77c310b3f62b86c4e003d50ef2242abcf0a865/test_results_parser-0.5.4-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:827f223c2bba0b31d2ef66dcc03e612128a12ad317519c5aa412a4c541ab3d0a", size = 1171861, upload-time = "2025-03-04T16:39:21.087Z" },
-    { url = "https://files.pythonhosted.org/packages/f6/2c/93d8cd922daf8f90df14d1041d8830d7f62a700bb5321f7087c763e3aa43/test_results_parser-0.5.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b32fd96aa3f340ef6962b9ae4efe15b20db4d0740c426cbc4691f7ee0f8d259d", size = 1078657, upload-time = "2025-03-04T16:39:35.519Z" },
-    { url = "https://files.pythonhosted.org/packages/d3/a1/89f097e8e684a62646512858a65145b4dba41871e6ec49f2d0dbfe03e223/test_results_parser-0.5.4-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:f2c4445aef0820b2962d374110eabef9585859439fdb03272e0a37482dedf297", size = 1061700, upload-time = "2025-03-04T16:39:28.512Z" },
-    { url = "https://files.pythonhosted.org/packages/5d/e6/807744692fd36f7196225c4e2c98ccdb89fe0d1f53943aec40280eb70bb6/test_results_parser-0.5.4-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:dcb5ff423f4ed8f3b1543d8db9f5f0f06b3c6c2a7f2c265c6c369767aa8e1dbf", size = 1206090, upload-time = "2025-03-04T16:38:13.369Z" },
-    { url = "https://files.pythonhosted.org/packages/1e/b2/8f35c6070ba8165aae8b2b9842adc7dde74bd462ff5fa8d42b7cb2da4aa2/test_results_parser-0.5.4-cp39-cp39-musllinux_1_2_armv7l.whl", hash = "sha256:66f548f97f27fde5fed0b9ad604c2927ec3fbaa62d680336c7b49186da3791a8", size = 1248019, upload-time = "2025-03-04T16:38:26.697Z" },
-    { url = "https://files.pythonhosted.org/packages/a6/0b/ffd1bc0bee522eaf292f2abce56f95ab2a59407ff3c3f3d9ddb595d154e9/test_results_parser-0.5.4-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:6d9ac0c244ab80ce49bf45b2f725ec04c17b136970ad035dc4823d8a67aed8ba", size = 1204521, upload-time = "2025-03-04T16:38:37.674Z" },
-    { url = "https://files.pythonhosted.org/packages/0c/d5/dcec9dfe42d55f0c4453644ef5a59d89dc92092e7c56b280db11e890876d/test_results_parser-0.5.4-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:4c61c7a4252f7f6bf10e73766ba71b8bbf90ff72e2dff1d9a5d36622c3cf0090", size = 1248630, upload-time = "2025-03-04T16:38:47.107Z" },
-    { url = "https://files.pythonhosted.org/packages/b3/67/d8172b37f51accf2b0decf8ff1461d9dc0bc9edbc508aa1d255b2ee306cd/test_results_parser-0.5.4-cp39-cp39-win32.whl", hash = "sha256:5525d50701e2321f1442ff161020171260d6207e8f8b1b50f47b8b2c488f0a8e", size = 717019, upload-time = "2025-03-04T16:40:00.496Z" },
-    { url = "https://files.pythonhosted.org/packages/ea/4a/b0d299f3f35b35b54fa78f69f5a51870683b74ae36be867ca295c535d7c2/test_results_parser-0.5.4-cp39-cp39-win_amd64.whl", hash = "sha256:a7a6048d963ef7543084a741ebcb102b024a68060bfcb0e6b0f4b83fa62cb76d", size = 793340, upload-time = "2025-03-04T16:39:51.988Z" },
 ]
 
 [[package]]
@@ -2345,6 +2258,32 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/6e/c2/61d3e0f47e2b74ef40a68b9e6ad5984f6241a942f7cd3bbfbdbd03861ea9/tomli-2.2.1-py3-none-any.whl", hash = "sha256:cb55c73c5f4408779d0cf3eef9f762b9c9f147a77de7b258bef0a5628adc85cc", size = 14257, upload-time = "2024-11-27T22:38:35.385Z" },
 ]
 
+[[package]]
+name = "tornado"
+version = "6.5.5"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/f8/f1/3173dfa4a18db4a9b03e5d55325559dab51ee653763bb8745a75af491286/tornado-6.5.5.tar.gz", hash = "sha256:192b8f3ea91bd7f1f50c06955416ed76c6b72f96779b962f07f911b91e8d30e9", size = 516006, upload-time = "2026-03-10T21:31:02.067Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/59/8c/77f5097695f4dd8255ecbd08b2a1ed8ba8b953d337804dd7080f199e12bf/tornado-6.5.5-cp39-abi3-macosx_10_9_universal2.whl", hash = "sha256:487dc9cc380e29f58c7ab88f9e27cdeef04b2140862e5076a66fb6bb68bb1bfa", size = 445983, upload-time = "2026-03-10T21:30:44.28Z" },
+    { url = "https://files.pythonhosted.org/packages/ab/5e/7625b76cd10f98f1516c36ce0346de62061156352353ef2da44e5c21523c/tornado-6.5.5-cp39-abi3-macosx_10_9_x86_64.whl", hash = "sha256:65a7f1d46d4bb41df1ac99f5fcb685fb25c7e61613742d5108b010975a9a6521", size = 444246, upload-time = "2026-03-10T21:30:46.571Z" },
+    { url = "https://files.pythonhosted.org/packages/b2/04/7b5705d5b3c0fab088f434f9c83edac1573830ca49ccf29fb83bf7178eec/tornado-6.5.5-cp39-abi3-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:e74c92e8e65086b338fd56333fb9a68b9f6f2fe7ad532645a290a464bcf46be5", size = 447229, upload-time = "2026-03-10T21:30:48.273Z" },
+    { url = "https://files.pythonhosted.org/packages/34/01/74e034a30ef59afb4097ef8659515e96a39d910b712a89af76f5e4e1f93c/tornado-6.5.5-cp39-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:435319e9e340276428bbdb4e7fa732c2d399386d1de5686cb331ec8eee754f07", size = 448192, upload-time = "2026-03-10T21:30:51.22Z" },
+    { url = "https://files.pythonhosted.org/packages/be/00/fe9e02c5a96429fce1a1d15a517f5d8444f9c412e0bb9eadfbe3b0fc55bf/tornado-6.5.5-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:3f54aa540bdbfee7b9eb268ead60e7d199de5021facd276819c193c0fb28ea4e", size = 448039, upload-time = "2026-03-10T21:30:53.52Z" },
+    { url = "https://files.pythonhosted.org/packages/82/9e/656ee4cec0398b1d18d0f1eb6372c41c6b889722641d84948351ae19556d/tornado-6.5.5-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:36abed1754faeb80fbd6e64db2758091e1320f6bba74a4cf8c09cd18ccce8aca", size = 447445, upload-time = "2026-03-10T21:30:55.541Z" },
+    { url = "https://files.pythonhosted.org/packages/5a/76/4921c00511f88af86a33de770d64141170f1cfd9c00311aea689949e274e/tornado-6.5.5-cp39-abi3-win32.whl", hash = "sha256:dd3eafaaeec1c7f2f8fdcd5f964e8907ad788fe8a5a32c4426fbbdda621223b7", size = 448582, upload-time = "2026-03-10T21:30:57.142Z" },
+    { url = "https://files.pythonhosted.org/packages/2c/23/f6c6112a04d28eed765e374435fb1a9198f73e1ec4b4024184f21faeb1ad/tornado-6.5.5-cp39-abi3-win_amd64.whl", hash = "sha256:6443a794ba961a9f619b1ae926a2e900ac20c34483eea67be4ed8f1e58d3ef7b", size = 448990, upload-time = "2026-03-10T21:30:58.857Z" },
+    { url = "https://files.pythonhosted.org/packages/b7/c8/876602cbc96469911f0939f703453c1157b0c826ecb05bdd32e023397d4e/tornado-6.5.5-cp39-abi3-win_arm64.whl", hash = "sha256:2c9a876e094109333f888539ddb2de4361743e5d21eece20688e3e351e4990a6", size = 448016, upload-time = "2026-03-10T21:31:00.43Z" },
+]
+
+[[package]]
+name = "traitlets"
+version = "5.14.3"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/eb/79/72064e6a701c2183016abbbfedaba506d81e30e232a68c9f0d6f6fcd1574/traitlets-5.14.3.tar.gz", hash = "sha256:9ed0579d3502c94b4b3732ac120375cda96f923114522847de4b3bb98b96b6b7", size = 161621, upload-time = "2024-04-19T11:11:49.746Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/00/c0/8f5d070730d7836adc9c9b6408dec68c6ced86b304a9b26a14df072a6e8c/traitlets-5.14.3-py3-none-any.whl", hash = "sha256:b74e89e397b1ed28cc831db7aea759ba6640cb3de13090ca145426688ff1ac4f", size = 85359, upload-time = "2024-04-19T11:11:46.763Z" },
+]
+
 [[package]]
 name = "tree-sitter"
 version = "0.20.4"
@@ -2381,23 +2320,10 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/5b/4d/9ca258188c19e5588e30c2862879c6a061d17a33cd1c24321d3d9b029591/tree_sitter-0.20.4-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:bf47047420021d50aec529cb66387c90562350b499ddf56ecef1fc8255439e30", size = 487905, upload-time = "2023-11-13T06:41:46.579Z" },
     { url = "https://files.pythonhosted.org/packages/ba/e9/4797c420e71946040f44a88e095f2dbd2c20cf517eca59a3c79a0e10adf6/tree_sitter-0.20.4-cp312-cp312-win32.whl", hash = "sha256:c16b48378041fc9702b6aa3480f2ffa49ca8ea58141a862acd569e5a0679655f", size = 95293, upload-time = "2023-11-13T06:41:48.03Z" },
     { url = "https://files.pythonhosted.org/packages/7a/47/3e8491b14d0b6aa671a34a60c9347702f276fc4967e4c92273d5bcfd5c2e/tree_sitter-0.20.4-cp312-cp312-win_amd64.whl", hash = "sha256:973e871167079a1b1d7304d361449253efbe2a6974728ad563cf407bd02ddccb", size = 107456, upload-time = "2023-11-13T06:41:49.635Z" },
-    { url = "https://files.pythonhosted.org/packages/d8/f5/955c42068c00064cf9dea44e82332920304a26ce8e50973be35bfd07a078/tree_sitter-0.20.4-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:e89f6508e30fce05e2c724725d022db30d877817b9d64f933506ffb3a3f4a2c2", size = 257489, upload-time = "2023-11-13T06:42:29.724Z" },
-    { url = "https://files.pythonhosted.org/packages/15/b8/c376e34b956067ae7a6e21bdd0fbd451db0cc1154d3246e9f38238ef06b7/tree_sitter-0.20.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:7fb6286bb1fae663c45ff0700ec88fb9b50a81eed2bae8a291f95fcf8cc19547", size = 138000, upload-time = "2023-11-13T06:42:31.095Z" },
-    { url = "https://files.pythonhosted.org/packages/ed/71/8aaa4e1921875d15cf1b00558f05bba01bcb40737452d2be972cd90291fa/tree_sitter-0.20.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:11e93f8b4bbae04070416a82257a7ab2eb0afb76e093ae3ea73bd63b792f6846", size = 128702, upload-time = "2023-11-13T06:42:32.856Z" },
-    { url = "https://files.pythonhosted.org/packages/46/01/1da76434037cdf05148ebd08dd08454589f59fdb5ec9a98b7fed1bff71a7/tree_sitter-0.20.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8250725c5f78929aeb2c71db5dca76f1ef448389ca16f9439161f90978bb8478", size = 476427, upload-time = "2023-11-13T06:42:34.698Z" },
-    { url = "https://files.pythonhosted.org/packages/90/05/0d5c894daf7136c333518919e485501ded65ddbd7dea30aa97076286bcf0/tree_sitter-0.20.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d404a8ca9de9b0843844f0cd4d423f46bc46375ab8afb63b1d8ec01201457ac8", size = 487589, upload-time = "2023-11-13T06:42:36.461Z" },
-    { url = "https://files.pythonhosted.org/packages/43/17/fbb1bc611e258f547c04725e69f0aeefa1f2664be481b0a82aa2c4468854/tree_sitter-0.20.4-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:0f2422c9ee70ba972dfc3943746e6cf7fc03725a866908950245bda9ccfc7301", size = 471810, upload-time = "2023-11-13T06:42:38.09Z" },
-    { url = "https://files.pythonhosted.org/packages/78/4f/a9aedcaa6472d529081cd08a470cc28f1d73fc7266e5b2f806126972fabe/tree_sitter-0.20.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:21a937942e4729abbe778a609d2c218574436cb351c36fba89ef3c8c6066ec78", size = 482378, upload-time = "2023-11-13T06:42:39.842Z" },
-    { url = "https://files.pythonhosted.org/packages/e6/b4/fae0ddd75a342024d81deb35ab7f2f32983d24e05a5b7a42c88e3fcd4322/tree_sitter-0.20.4-cp39-cp39-win32.whl", hash = "sha256:427a9a39360cc1816e28f8182550e478e4ba983595a2565ab9dfe32ea1b03fd7", size = 95207, upload-time = "2023-11-13T06:42:41.406Z" },
-    { url = "https://files.pythonhosted.org/packages/d0/17/0195323d376bf23e43377c210b445a60c46c83313709e471abded59972eb/tree_sitter-0.20.4-cp39-cp39-win_amd64.whl", hash = "sha256:7095bb9aff297fa9c6026bf8914fd295997d714d1a6ee9a1edf7282c772f9f64", size = 107753, upload-time = "2023-11-13T06:42:43.095Z" },
     { url = "https://files.pythonhosted.org/packages/11/fe/1e6e9118384cf70bfc9e69bf36dc79c64731da2e532c640b37ba4d0387bb/tree_sitter-0.20.4-pp310-pypy310_pp73-macosx_10_9_x86_64.whl", hash = "sha256:859260b90f0e3867ae840e39f54e830f607b3bc531bc21deeeeaa8a30cbb89ad", size = 126585, upload-time = "2023-11-13T06:42:44.41Z" },
     { url = "https://files.pythonhosted.org/packages/9e/23/e68cb8b65f1e058922c8bae777042b5e43041ef58ebd20c850e98c1d6e9d/tree_sitter-0.20.4-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0dfc14be73cf46126660a3aecdd0396e69562ad1a902245225ca7bd29649594e", size = 124555, upload-time = "2023-11-13T06:42:45.901Z" },
     { url = "https://files.pythonhosted.org/packages/2f/f1/e7014276dce702ccfa20dc122bd2772dcaf614d63ea42699214cb3f0b11d/tree_sitter-0.20.4-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5ec46355bf3ff23f54d5e365871ffd3e05cfbc65d1b36a8be7c0bcbda30a1d43", size = 127110, upload-time = "2023-11-13T06:42:47.149Z" },
     { url = "https://files.pythonhosted.org/packages/3d/d5/e7cc0077647855708d50e8edb780330bcc7c429ce4da031e23ba570248c9/tree_sitter-0.20.4-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:d933a942fde39876b99c36f12aa3764e4a555ae9366c10ce6cca8c16341c1bbf", size = 107683, upload-time = "2023-11-13T06:42:48.562Z" },
-    { url = "https://files.pythonhosted.org/packages/5c/2b/d226a6b7e68cdb684601ee69deaf33d4596cfe86966b1f4ee6119c69ce70/tree_sitter-0.20.4-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:72830dc85a10430eca3d56739b7efcd7a05459c8d425f08c1aee6179ab7f13a9", size = 126584, upload-time = "2023-11-13T06:43:02.028Z" },
-    { url = "https://files.pythonhosted.org/packages/4e/be/a2afacde7f846c74a811282cdd8c0fdc2bf52265682121a73ed72b21703e/tree_sitter-0.20.4-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4992dd226055b6cd0a4f5661c66b799a73d3eff716302e0f7ab06594ee12d49f", size = 124558, upload-time = "2023-11-13T06:43:03.466Z" },
-    { url = "https://files.pythonhosted.org/packages/18/97/77cec95a2294b536f930565ad333a1562aecfe8382e7dd503472bd2e250e/tree_sitter-0.20.4-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a66d95bbf92175cdc295d6d77f330942811f02e3aaf3fc64431cb749683b2f7d", size = 127113, upload-time = "2023-11-13T06:43:05.027Z" },
-    { url = "https://files.pythonhosted.org/packages/0b/29/3b86bfa49d16a89e2408d835dab06a0a3f8b570e83787d6f16f7af9c38a5/tree_sitter-0.20.4-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:a25b1087e4f7825b2458dacf5f4b0be2938f78e850e822edca1ff4994b56081a", size = 107780, upload-time = "2023-11-13T06:43:06.414Z" },
 ]
 
 [[package]]
@@ -2454,13 +2380,8 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/68/98/b0345cabdce2041a01293ba483333582891a3bd5769b08eceb0d406056ef/watchdog-6.0.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:490ab2ef84f11129844c23fb14ecf30ef3d8a6abafd3754a6f75ca1e6654136c", size = 96480, upload-time = "2024-11-01T14:06:42.952Z" },
     { url = "https://files.pythonhosted.org/packages/85/83/cdf13902c626b28eedef7ec4f10745c52aad8a8fe7eb04ed7b1f111ca20e/watchdog-6.0.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:76aae96b00ae814b181bb25b1b98076d5fc84e8a53cd8885a318b42b6d3a5134", size = 88451, upload-time = "2024-11-01T14:06:45.084Z" },
     { url = "https://files.pythonhosted.org/packages/fe/c4/225c87bae08c8b9ec99030cd48ae9c4eca050a59bf5c2255853e18c87b50/watchdog-6.0.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:a175f755fc2279e0b7312c0035d52e27211a5bc39719dd529625b1930917345b", size = 89057, upload-time = "2024-11-01T14:06:47.324Z" },
-    { url = "https://files.pythonhosted.org/packages/05/52/7223011bb760fce8ddc53416beb65b83a3ea6d7d13738dde75eeb2c89679/watchdog-6.0.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:e6f0e77c9417e7cd62af82529b10563db3423625c5fce018430b249bf977f9e8", size = 96390, upload-time = "2024-11-01T14:06:49.325Z" },
-    { url = "https://files.pythonhosted.org/packages/9c/62/d2b21bc4e706d3a9d467561f487c2938cbd881c69f3808c43ac1ec242391/watchdog-6.0.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:90c8e78f3b94014f7aaae121e6b909674df5b46ec24d6bebc45c44c56729af2a", size = 88386, upload-time = "2024-11-01T14:06:50.536Z" },
-    { url = "https://files.pythonhosted.org/packages/ea/22/1c90b20eda9f4132e4603a26296108728a8bfe9584b006bd05dd94548853/watchdog-6.0.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:e7631a77ffb1f7d2eefa4445ebbee491c720a5661ddf6df3498ebecae5ed375c", size = 89017, upload-time = "2024-11-01T14:06:51.717Z" },
     { url = "https://files.pythonhosted.org/packages/30/ad/d17b5d42e28a8b91f8ed01cb949da092827afb9995d4559fd448d0472763/watchdog-6.0.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:c7ac31a19f4545dd92fc25d200694098f42c9a8e391bc00bdd362c5736dbf881", size = 87902, upload-time = "2024-11-01T14:06:53.119Z" },
     { url = "https://files.pythonhosted.org/packages/5c/ca/c3649991d140ff6ab67bfc85ab42b165ead119c9e12211e08089d763ece5/watchdog-6.0.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:9513f27a1a582d9808cf21a07dae516f0fab1cf2d7683a742c498b93eedabb11", size = 88380, upload-time = "2024-11-01T14:06:55.19Z" },
-    { url = "https://files.pythonhosted.org/packages/5b/79/69f2b0e8d3f2afd462029031baafb1b75d11bb62703f0e1022b2e54d49ee/watchdog-6.0.0-pp39-pypy39_pp73-macosx_10_15_x86_64.whl", hash = "sha256:7a0e56874cfbc4b9b05c60c8a1926fedf56324bb08cfbc188969777940aef3aa", size = 87903, upload-time = "2024-11-01T14:06:57.052Z" },
-    { url = "https://files.pythonhosted.org/packages/e2/2b/dc048dd71c2e5f0f7ebc04dd7912981ec45793a03c0dc462438e0591ba5d/watchdog-6.0.0-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:e6439e374fc012255b4ec786ae3c4bc838cd7309a540e5fe0952d03687d8804e", size = 88381, upload-time = "2024-11-01T14:06:58.193Z" },
     { url = "https://files.pythonhosted.org/packages/a9/c7/ca4bf3e518cb57a686b2feb4f55a1892fd9a3dd13f470fca14e00f80ea36/watchdog-6.0.0-py3-none-manylinux2014_aarch64.whl", hash = "sha256:7607498efa04a3542ae3e05e64da8202e58159aa1fa4acddf7678d34a35d4f13", size = 79079, upload-time = "2024-11-01T14:06:59.472Z" },
     { url = "https://files.pythonhosted.org/packages/5c/51/d46dc9332f9a647593c947b4b88e2381c8dfc0942d15b8edc0310fa4abb1/watchdog-6.0.0-py3-none-manylinux2014_armv7l.whl", hash = "sha256:9041567ee8953024c83343288ccc458fd0a2d811d6a0fd68c4c22609e3490379", size = 79078, upload-time = "2024-11-01T14:07:01.431Z" },
     { url = "https://files.pythonhosted.org/packages/d4/57/04edbf5e169cd318d5f07b4766fee38e825d64b6913ca157ca32d1a42267/watchdog-6.0.0-py3-none-manylinux2014_i686.whl", hash = "sha256:82dc3e3143c7e38ec49d61af98d6558288c415eac98486a5c581726e0737c00e", size = 79076, upload-time = "2024-11-01T14:07:02.568Z" },
@@ -2543,17 +2464,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/a7/b1/0bb11e29aa5139d90b770ebbfa167267b1fc548d2302c30c8f7572851738/wrapt-1.17.2-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:4c82b8785d98cdd9fed4cac84d765d234ed3251bd6afe34cb7ac523cb93e8b4f", size = 106377, upload-time = "2025-01-14T10:34:59.3Z" },
     { url = "https://files.pythonhosted.org/packages/6a/e1/0122853035b40b3f333bbb25f1939fc1045e21dd518f7f0922b60c156f7c/wrapt-1.17.2-cp313-cp313t-win32.whl", hash = "sha256:13e6afb7fe71fe7485a4550a8844cc9ffbe263c0f1a1eea569bc7091d4898555", size = 37986, upload-time = "2025-01-14T10:35:00.498Z" },
     { url = "https://files.pythonhosted.org/packages/09/5e/1655cf481e079c1f22d0cabdd4e51733679932718dc23bf2db175f329b76/wrapt-1.17.2-cp313-cp313t-win_amd64.whl", hash = "sha256:eaf675418ed6b3b31c7a989fd007fa7c3be66ce14e5c3b27336383604c9da85c", size = 40750, upload-time = "2025-01-14T10:35:03.378Z" },
-    { url = "https://files.pythonhosted.org/packages/8a/f4/6ed2b8f6f1c832933283974839b88ec7c983fd12905e01e97889dadf7559/wrapt-1.17.2-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:99039fa9e6306880572915728d7f6c24a86ec57b0a83f6b2491e1d8ab0235b9a", size = 53308, upload-time = "2025-01-14T10:35:24.413Z" },
-    { url = "https://files.pythonhosted.org/packages/a2/a9/712a53f8f4f4545768ac532619f6e56d5d0364a87b2212531685e89aeef8/wrapt-1.17.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:2696993ee1eebd20b8e4ee4356483c4cb696066ddc24bd70bcbb80fa56ff9061", size = 38489, upload-time = "2025-01-14T10:35:26.913Z" },
-    { url = "https://files.pythonhosted.org/packages/fa/9b/e172c8f28a489a2888df18f953e2f6cb8d33b1a2e78c9dfc52d8bf6a5ead/wrapt-1.17.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:612dff5db80beef9e649c6d803a8d50c409082f1fedc9dbcdfde2983b2025b82", size = 38776, upload-time = "2025-01-14T10:35:28.183Z" },
-    { url = "https://files.pythonhosted.org/packages/cf/cb/7a07b51762dcd59bdbe07aa97f87b3169766cadf240f48d1cbe70a1be9db/wrapt-1.17.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:62c2caa1585c82b3f7a7ab56afef7b3602021d6da34fbc1cf234ff139fed3cd9", size = 83050, upload-time = "2025-01-14T10:35:30.645Z" },
-    { url = "https://files.pythonhosted.org/packages/a5/51/a42757dd41032afd6d8037617aa3bc6803ba971850733b24dfb7d5c627c4/wrapt-1.17.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c958bcfd59bacc2d0249dcfe575e71da54f9dcf4a8bdf89c4cb9a68a1170d73f", size = 74718, upload-time = "2025-01-14T10:35:32.047Z" },
-    { url = "https://files.pythonhosted.org/packages/bf/bb/d552bfe47db02fcfc950fc563073a33500f8108efa5f7b41db2f83a59028/wrapt-1.17.2-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fc78a84e2dfbc27afe4b2bd7c80c8db9bca75cc5b85df52bfe634596a1da846b", size = 82590, upload-time = "2025-01-14T10:35:33.329Z" },
-    { url = "https://files.pythonhosted.org/packages/77/99/77b06b3c3c410dbae411105bf22496facf03a5496bfaca8fbcf9da381889/wrapt-1.17.2-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:ba0f0eb61ef00ea10e00eb53a9129501f52385c44853dbd6c4ad3f403603083f", size = 81462, upload-time = "2025-01-14T10:35:34.933Z" },
-    { url = "https://files.pythonhosted.org/packages/2d/21/cf0bd85ae66f92600829ea1de8e1da778e5e9f6e574ccbe74b66db0d95db/wrapt-1.17.2-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:1e1fe0e6ab7775fd842bc39e86f6dcfc4507ab0ffe206093e76d61cde37225c8", size = 74309, upload-time = "2025-01-14T10:35:37.542Z" },
-    { url = "https://files.pythonhosted.org/packages/6d/16/112d25e9092398a0dd6fec50ab7ac1b775a0c19b428f049785096067ada9/wrapt-1.17.2-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:c86563182421896d73858e08e1db93afdd2b947a70064b813d515d66549e15f9", size = 81081, upload-time = "2025-01-14T10:35:38.9Z" },
-    { url = "https://files.pythonhosted.org/packages/2b/49/364a615a0cc0872685646c495c7172e4fc7bf1959e3b12a1807a03014e05/wrapt-1.17.2-cp39-cp39-win32.whl", hash = "sha256:f393cda562f79828f38a819f4788641ac7c4085f30f1ce1a68672baa686482bb", size = 36423, upload-time = "2025-01-14T10:35:40.177Z" },
-    { url = "https://files.pythonhosted.org/packages/00/ad/5d2c1b34ba3202cd833d9221833e74d6500ce66730974993a8dc9a94fb8c/wrapt-1.17.2-cp39-cp39-win_amd64.whl", hash = "sha256:36ccae62f64235cf8ddb682073a60519426fdd4725524ae38874adf72b5f2aeb", size = 38772, upload-time = "2025-01-14T10:35:42.763Z" },
     { url = "https://files.pythonhosted.org/packages/2d/82/f56956041adef78f849db6b289b282e72b55ab8045a75abad81898c28d19/wrapt-1.17.2-py3-none-any.whl", hash = "sha256:b18f2d1533a71f069c7f82d524a52599053d4c7166e9dd374ae2136b7f40f7c8", size = 23594, upload-time = "2025-01-14T10:35:44.018Z" },
 ]