diff --git a/.gitignore b/.gitignore index 3e920b7..804ee7b 100644 --- a/.gitignore +++ b/.gitignore @@ -13,6 +13,7 @@ wheels/ data/ outputs/ training-outputs/ +trainings.zip notebooks/.ipynb_checkpoints diff --git a/README.md b/README.md index 4b61015..ab2d1da 100644 --- a/README.md +++ b/README.md @@ -16,19 +16,22 @@ firebot/ ├── fp-historical-wildfire-data-dictionary-2006-2025.pdf # from the dataset download ├── data/ │ └── static/ -│ ├── fp-historical-wildfire-data-2006-2025.csv # raw Alberta historical wildfire CSV -│ ├── snapshot_records.json # full normalized snapshot records from raw CSV -│ ├── snapshot_records_train.json # train-year snapshot subset -│ ├── snapshot_records_val.json # validation-year snapshot subset -│ ├── snapshot_records_holdout.json # holdout-year snapshot subset -│ ├── scenario_parameter_records.json # full unseeded environment parameter records -│ ├── scenario_parameter_records_train.json # train split unseeded records -│ ├── scenario_parameter_records_val.json # validation split unseeded records -│ ├── scenario_parameter_records_holdout.json # holdout split unseeded records -│ ├── scenario_parameter_records_seeded.json # full seeded records with ignition/layout seeds -│ ├── scenario_parameter_records_seeded_train.json # train runtime records -│ ├── scenario_parameter_records_seeded_val.json # validation runtime records -│ └── scenario_parameter_records_seeded_holdout.json # temporal holdout runtime records +│ ├── raw/ +│ │ └── fp-historical-wildfire-data-2006-2025.csv # raw Alberta historical wildfire CSV +│ ├── v1/ +│ │ ├── snapshot_records.json # full normalized snapshot records from raw CSV +│ │ ├── snapshot_records_train.json # train-year snapshot subset +│ │ ├── snapshot_records_val.json # validation-year snapshot subset +│ │ ├── snapshot_records_holdout.json # holdout-year snapshot subset +│ │ ├── scenario_parameter_records.json # full unseeded environment parameter records +│ │ ├── scenario_parameter_records_train.json # train split unseeded records +│ │ ├── scenario_parameter_records_val.json # validation split unseeded records +│ │ ├── scenario_parameter_records_holdout.json # holdout split unseeded records +│ │ ├── scenario_parameter_records_seeded.json # full seeded records with ignition/layout seeds +│ │ ├── scenario_parameter_records_seeded_train.json # train runtime records +│ │ ├── scenario_parameter_records_seeded_val.json # validation runtime records +│ │ └── scenario_parameter_records_seeded_holdout.json # temporal holdout runtime records +│ └── v2/ # optional cleaned dataset variant for retraining ├── docs/ │ ├── data-pipeline.md │ ├── envspec.md @@ -162,9 +165,17 @@ For more details, check `docs/data-pipeline.md` We run this command run to ingest our dataset (with a large cap to avoid split truncation): ```bash -uv run python -m src.ingestion.static_dataset --target-count 50000 --raw-alberta-csv data/static/fp-historical-wildfire-data-2006-2025.csv +uv run python -m src.ingestion.static_dataset --target-count 50000 ``` +Or the following command for the full explicit paths: + +```bash +uv run python -m src.ingestion.static_dataset --target-count 50000 --output-dir data/static/v1 --raw-alberta-csv data/static/raw/fp-historical-wildfire-data-2006-2025.csv +``` + +With default paths specified inside the data pipeline code: `data/static/raw/` for where the source dataset is; `data/static/v1` for where the initially compiled environment parameter records from the ingested data are + This command builds data from the CSV and generates initialization seeds for ignition and asset layout for the corresponding environment. CFFDRS was not used to reduce confounding variables and any bias introduced due to incomplete CFFDRS data ingested for some specific fires. If CFFDRS for the selected year is sparse, the builder still runs and writes records without supplementary CFFDRS enrichment. @@ -264,3 +275,7 @@ The builder also writes year-based split files for the benchmark: - `holdout`: `2024-2025` The dataset builder prints cleaning/drop summaries to stdout and uses progress bars when `tqdm` is available. + +## Using Notebooks + +The notebook details data analysis. After running, move `outputs/` to `training-outputs/` in the project root and launch the notebooks via `jupyter notebook` in `notebooks/`, to be able to run `notebooks/training_*_analysis.ipynb`. Run `data_audit.ipynb` after running the data pipeline once, and run `clean_data.ipynb` to reproduce data cleaning after ingestion. The training scripts inside `stages/` use the cleaned data for training. diff --git a/docs/planning/harden-training.md b/docs/planning/harden-training.md index 35f25c1..7f9a093 100644 --- a/docs/planning/harden-training.md +++ b/docs/planning/harden-training.md @@ -1,18 +1,27 @@ # Training Hardening Plan -This document defines a staged hardening workflow before launching paper-facing benchmark runs. +This document defines the execution order for turning the existing baseline run into paper-defensible benchmark evidence. -It assumes one full run has already been executed and should now be treated as a baseline sanity pass, not the final benchmark evidence. +One full run already exists and should be treated as a baseline sanity pass, not final evidence. --- -## Step 0: Dummy Run +## Execution Sequence -Purpose: establish a baseline run with the current unclean pipeline and confirm the end-to-end system is operational. +1. Plot and analyze the existing baseline run in a notebook. +2. Harden the training and evaluation pipeline. +3. Re-run on the original data variant with hardened controls. +4. Reproduce on cleaned data and compare changes. + +--- + +## Step 0: Baseline Run (Completed) + +Purpose: preserve and interpret the initial run as a reference point. Current baseline configuration: -- Data variant: original seeded datasets under `data/static/` +- Data variant: original seeded datasets under `data/static/v1/` - Algorithms: `PPO`, `A2C`, `DQN` - Final budget: `200,000` steps per algorithm per seed - Seed protocol: canonical 5 seeds (`11,22,33,44,55`) for final runs @@ -20,24 +29,42 @@ Current baseline configuration: - Checkpoint model selection: highest `val.asset_survival_rate`, tie-breaker `val.mean_return` - Final artifact for reporting: `best_model.zip` (not `last_model.zip`) -Step 0 interpretation rules: +Interpretation rules: -- Treat this run as a reference point for stability and feasibility. -- Do not treat it as final paper evidence until Step 1-3 hardening is complete. +- Treat this run as a stability and feasibility baseline only. +- Do not use Step 0 as final paper evidence. - Preserve all Step 0 artifacts for regression comparison. --- -## Step 1: Pilot Hardening +## Step 1: Plot and Analyze Baseline Results (Done) -Purpose: reduce debugging risk and improve interpretability before expensive reruns. +Purpose: quantify what happened in Step 0 before deciding how aggressively to rerun. -### 1.1 One-factor-at-a-time pilot sweeps +Checklist: + +- Unpack and inspect the completed run artifacts (for example `training_0.zip`). +- Build a notebook summary of checkpoint/final metrics per algorithm and seed. +- Plot trajectories for key validation metrics (`asset_survival_rate`, `mean_return`, burned-area metrics). +- Confirm selection behavior (`best_checkpoint.json` and `best_model.zip` follow the stated rule). +- Record instability signals (high variance, collapse windows, missing/malformed artifacts). + +Output: + +- A short Step 0 baseline analysis notebook and a written go/no-go note for hardening depth. + +--- + +## Step 2: Harden Training and Evaluation + +Purpose: reduce debugging risk and increase defensibility before reruns. + +### 2.1 One-factor-at-a-time pilot sweeps For each algorithm: 1. Run small pilot sweeps where only one hyperparameter changes at a time. -2. Keep all other hyperparameters fixed to algorithm defaults or current pilot anchor values. +2. Keep all other hyperparameters fixed to defaults or current anchor values. 3. Use validation-only selection for pilot ranking. Recommended order: @@ -46,88 +73,42 @@ Recommended order: - `A2C`: learning rate -> `n_steps` -> entropy coefficient - `DQN`: learning rate -> exploration params -> target update interval -> replay buffer size -Why: if performance changes unexpectedly, attribution is immediate and debugging is faster. - -### 1.2 Learning-rate schedule explicitness - -- Keep constant learning rate in pilot/debug unless a schedule is explicitly tested as an ablation. -- Record in run config/logs that no scheduler is active. -- If a scheduler is tested later, it must be clearly labeled and isolated from canonical results. - -### 1.3 Early stopping policy +### 2.2 Learning-rate schedule explicitness -- Allow optional early stopping only in `pilot` or debug runs for faster iteration. -- Do not use early stopping in canonical final benchmark runs. -- Final benchmark remains fixed-budget for fairness (`200,000` per algorithm per seed). +- Keep constant learning rate in pilot/debug unless schedule testing is an explicit ablation. +- Record in config/logs when no scheduler is active. +- If scheduler is tested, label it clearly and isolate it from canonical results. -### 1.4 NaN and instability guardrails +### 2.3 NaN and instability guardrails Add fail-fast checks during training/eval: -- Abort if any non-finite metric/loss appears (`NaN`, `inf`, `-inf`). -- Abort if checkpoint artifacts are malformed or missing expected keys. -- Flag severe instability patterns (for example prolonged metric collapse) for manual review. +- Abort on any non-finite metric/loss (`NaN`, `inf`, `-inf`). +- Abort when checkpoint artifacts are malformed or missing required keys. +- Flag severe instability patterns for manual review. --- -## Step 2: Re-run and Data Audit Decision +## Step 3: Reproduce on Cleaned Data and Compare -Purpose: re-run after Step 1 hardening and decide whether dataset cleaning is required. +Purpose: quantify how data cleaning changes results under the same frozen training protocol. -### 2.1 Re-run hardened pilot +Checklist: -- Re-run smoke + pilot with hardening controls enabled. -- Compare against Step 0 baseline on key validation metrics and stability. - -### 2.2 Data outlier and null audit - -- Run the audit notebook: `notebooks/data_outlier_audit.ipynb`. +- Run data audit notebook: `notebooks/data_outlier_audit.ipynb`. - Inspect outliers, invalid ranges, missing fields, split consistency, and duplicates. -- Decide if cleaning is required based on documented findings. - -### 2.3 If cleaning is required - -Use strict versioning and isolation: +- If cleaning is justified, build cleaned artifacts under `data/static/v2/`. +- Regenerate all split artifacts consistently from the cleaned source (no overwrite of `v1`). +- Re-run frozen benchmark protocol on `v2` and compare against `v1`. +- Label cleaned-data runs explicitly in metadata/run labels. -- Save cleaned variants under `data/static/clean/`. -- Regenerate all split artifacts consistently from the cleaned source. -- Keep old and cleaned artifacts side-by-side (no overwrite). -- Save model weights and run artifacts before rerunning on cleaned data. -- Label cleaned-data runs explicitly (for example run label suffix or metadata flag). +Comparison rule: -Reproducibility note: - -- Do not mix pilot selection on one data variant with final reporting on another without clear disclosure. +- Keep budget, seeds, selection rule, and evaluation protocol identical between `v1` and `v2`. --- -## Step 3: Defensibility and Final Freeze - -Purpose: increase confidence in model health and lock benchmark settings before full reporting runs. - -### 3.1 Training-health diagnostics - -Add periodic diagnostics per algorithm where available: - -- gradient norm trends -- value loss / TD loss trends -- entropy (for policy-gradient methods) -- checkpoint metric trajectories for train vs val - -### 3.2 Instability-aware pilot confirmation - -- For each algorithm, take top-2 pilot candidates. -- Run 2 quick repeats per candidate. -- Use aggregate validation ranking with instability-aware tie-breaking. - -### 3.3 Freeze and execute final benchmark - -- Freeze one hyperparameter config per algorithm. -- Freeze data variant (`original` or specific `clean` version). -- Run canonical fixed-budget benchmark over 5 seeds. -- Report only frozen-protocol results as primary evidence. - -### Step 3 Acceptance Criteria +## Acceptance Criteria | Area | Criterion | Threshold / Rule | Action if Failed | |---|---|---|---| @@ -145,9 +126,9 @@ Add periodic diagnostics per algorithm where available: ## Reporting Notes -When writing paper-facing results after hardening: +When writing paper-facing results: - explicitly state fixed-budget protocol and seed count - explicitly state model-selection rule -- explicitly state data variant used (`original` or `clean/*`) +- explicitly state data variant used (`v1` original or `v2` cleaned) - clearly separate pilot diagnostics from final benchmark evidence diff --git a/docs/training.md b/docs/training.md new file mode 100644 index 0000000..5101505 --- /dev/null +++ b/docs/training.md @@ -0,0 +1,289 @@ +# Training Methods and Process + +This document describes how models are trained for the wildfire suppression environment (`WildfireEnv`) and how the benchmark pipeline is executed end to end. + +It reflects the current hardened setup, including: +- cleaned-data default (`data/static/v2`) +- one-factor-at-a-time pilot sweeps +- explicit constant learning-rate schedule labeling +- fail-fast non-finite metric checks during checkpoint/final eval + +--- + +## 1) Environment and Agent + +`WildfireEnv` is a single-agent tactical wildfire suppression environment. + +- Grid: `25 x 25` +- Horizon: `150` steps +- Agent role: one tactical firefighting controller +- Actions: + - movement: `MOVE_N`, `MOVE_S`, `MOVE_E`, `MOVE_W` + - suppression: `DEPLOY_HELICOPTER`, `DEPLOY_CREW` +- Objective: protect critical assets while containing spread under limited suppression budgets/cooldowns + +The learned algorithms trained in this benchmark are: +- `PPO` +- `A2C` +- `DQN` + +Baselines used for evaluation: +- `greedy` +- `random` + +--- + +## 2) Data Contract and Input Sources + +All benchmark runs use seeded split artifacts and strict split validation: + +- train: `scenario_parameter_records_seeded_train.json` +- val: `scenario_parameter_records_seeded_val.json` +- holdout: `scenario_parameter_records_seeded_holdout.json` + +### Current default data variant + +The stage scripts default to cleaned data: + +- `DATA_VARIANT=v2` +- `DATASET_BASE=data/static/${DATA_VARIANT}` + +So, by default: +- `TRAIN_DATASET=data/static/v2/scenario_parameter_records_seeded_train.json` +- `VAL_DATASET=data/static/v2/scenario_parameter_records_seeded_val.json` +- `HOLDOUT_DATASET=data/static/v2/scenario_parameter_records_seeded_holdout.json` + +You can override either by: +1) setting `DATA_VARIANT=v1`, or +2) setting explicit dataset paths (`TRAIN_DATASET=...`, etc.). + +--- + +## 3) Canonical Training Protocol + +Unless explicitly running an ablation, canonical settings are: + +- Algorithms: `ppo`, `a2c`, `dqn` +- Seeds (final): `11,22,33,44,55` +- Budget: `200,000` steps per algorithm per seed +- Checkpoint cadence: every `20,000` steps +- Checkpoint eval episodes: `20` +- Final eval episodes: `100` +- Model selection rule: maximize `val.asset_survival_rate`, tie-break by `val.mean_return` +- Reporting model artifact: `best_model.zip` (not `last_model.zip`) + +Learning-rate schedule policy: +- canonical runs use `constant` schedule mode +- schedule mode is recorded in run config (`learning_rate_schedule`) + +--- + +## 4) Stage-by-Stage Pipeline + +The benchmark process is organized into 5 stages under `scripts/stages/`. + +## Stage 1/5: Karpathy one-record overfit checks + +Script: +- `scripts/stages/01_karpathy_overfit.sh` + +What runs: +- Each algorithm (`ppo`, `a2c`, `dqn`) trains on one-record train/val/holdout datasets built from the configured split files. + +Design choice: +- A fast sanity test to verify the optimization path can overfit trivial data and produce expected learning-direction signals. +- Helps catch broken reward/action/wiring before expensive multi-seed runs. + +Outputs: +- Karpathy artifacts under `outputs/benchmark/karpathy//seed_/` +- Printed first-vs-last checkpoint train metrics (return and asset survival) + +--- + +## Stage 2/5: Smoke training + reproducibility canary + +Script: +- `scripts/stages/02_smoke_train_and_repro.sh` + +What runs: +- Smoke training for each algorithm with short timesteps (default `20,000`). +- Optional reproducibility rerun with identical config and seed. +- Canary comparison script checks: + - `checkpoint_metrics.json` + - `best_checkpoint.json` + +Design choice: +- Confirms basic pipeline viability and checks deterministic consistency before larger sweeps/final runs. + +Outputs: +- Smoke artifacts: `outputs/benchmark/smoke//seed_/...` +- Canary candidate artifacts: `outputs/benchmark/repro_canary/smoke//seed_/...` +- Repro pass/fail printed by `scripts/canary.py` + +--- + +## Stage 3/5: Smoke evaluation + +Script: +- `scripts/stages/03_smoke_eval.sh` + +What runs: +- Evaluates smoke `best_model.zip` checkpoints for `ppo`, `a2c`, `dqn` plus `greedy` and `random`. +- Uses the same dataset paths explicitly passed from stage context (train/val/holdout). + +Design choice: +- Verifies load + score path, split handling, and metric outputs before pilot/final compute is spent. + +Outputs: +- `outputs/benchmark/smoke/eval_smoke.json` + +--- + +## Stage 4/5: Validation-only pilot sweeps + +Script: +- `scripts/stages/04_pilot_sweep.sh` +- Core sweep logic in `scripts/stages/_common.sh` (`pilot_sweep_algo`) + +What runs: +- Hyperparameter pilot runs at reduced budget (`PILOT_TIMESTEPS`, default `40,000`) with one seed (`PILOT_SEED`, default `11`). +- One-factor-at-a-time style sweep families: + +`PPO` +- learning rate variations with anchor `n_steps` and `ent_coef` +- `n_steps` variations with anchor learning rate and entropy +- entropy coefficient variations with anchor learning rate and `n_steps` + +`A2C` +- learning rate variations with anchor `n_steps` and `ent_coef` +- `n_steps` variations with anchor learning rate and entropy +- entropy coefficient variations with anchor learning rate and `n_steps` + +`DQN` +- learning rate variations with anchor exploration/target update/buffer +- exploration parameter variations with anchor learning rate/target update/buffer +- target update interval variations with anchor learning rate/exploration/buffer +- replay buffer size variations with anchor learning rate/exploration/target update + +Pilot selection: +- Rank by validation checkpoint metrics: + 1) `asset_survival_rate` + 2) `mean_return` + 3) `containment_success_rate` + +Design choice: +- Limits confounding and makes pilot conclusions easier to justify than multi-knob changes. + +Outputs: +- Per-config pilot artifacts under `outputs/benchmark/pilot_sweeps///pilot//seed_/` +- Winner manifest: + - `outputs/benchmark/pilot_sweeps//pilot_winner.json` + - includes selected hyperparameters and generated `cli_flags` for final training reuse + +--- + +## Stage 5/5: Full 5-seed benchmark training + +Script: +- `scripts/stages/05_final_train.sh` + +What runs: +- For each algorithm and each final seed: + - train at full canonical budget (`200,000`) + - checkpoint every `20,000` + - select best checkpoint on validation rule + - run final evaluation from selected checkpoint + +Hyperparameter source: +- If `USE_PILOT_WINNERS=1` and winner JSON exists, stage loads `selected.cli_flags` from: + - `outputs/benchmark/pilot_sweeps//pilot_winner.json` +- Otherwise falls back to algorithm defaults. + +Design choice: +- Keeps final runs protocol-fixed while allowing pilot-informed hyperparameters without manual hand-editing. + +Outputs: +- `outputs/benchmark/final//seed_/` + - `config.json` + - `checkpoint_metrics.json` + - `best_checkpoint.json` + - `best_model.zip` + - `last_model.zip` + - `final_eval_best.json` + +--- + +## 5) Hardening Controls in the Training Runner + +Implemented in `src/models/train_rl_agent.py`: + +- strict split record loading (`train`, `val`, `holdout`) +- config serialization per run (`config.json`) +- explicit learning-rate schedule field (`learning_rate_schedule`, canonical `constant`) +- checkpoint-by-checkpoint evaluation loop +- fail-fast checks for malformed or non-finite metrics (`NaN`/`inf`) at checkpoint and final eval time +- best-checkpoint selection guard requiring a valid `val` split entry + +This is intended to fail early on numeric instability or malformed metric artifacts. + +--- + +## 6) Running the Pipeline + +All stages (full pipeline): +```bash +./scripts/run_benchmark_train.sh +``` + +Individual stages: +```bash +./scripts/stages/01_karpathy_overfit.sh +./scripts/stages/02_smoke_train_and_repro.sh +./scripts/stages/03_smoke_eval.sh +./scripts/stages/04_pilot_sweep.sh +./scripts/stages/05_final_train.sh +``` + +Evaluate trained models: +```bash +./scripts/run_benchmark_eval.sh +``` + +### Useful overrides + +Run on original data variant: +```bash +DATA_VARIANT=v1 ./scripts/run_benchmark_train.sh +``` + +Force explicit dataset paths: +```bash +TRAIN_DATASET=data/static/v2/scenario_parameter_records_seeded_train.json \ +VAL_DATASET=data/static/v2/scenario_parameter_records_seeded_val.json \ +HOLDOUT_DATASET=data/static/v2/scenario_parameter_records_seeded_holdout.json \ +./scripts/run_benchmark_train.sh +``` + +Change artifact location: +```bash +ARTIFACT_ROOT=outputs/benchmark_v2 ./scripts/run_benchmark_train.sh +``` + +--- + +## 7) Artifact Layout + +Default root: +- `outputs/benchmark` + +Run layout: +- `///seed_/` + +Primary run labels: +- `smoke` +- `pilot` +- `final` +- `karpathy` (sanity-only) + +For reporting, use: +- `best_model.zip` + `best_checkpoint.json` + `final_eval_best.json` diff --git a/notebooks/clean_data.ipynb b/notebooks/clean_data.ipynb new file mode 100644 index 0000000..5a3305e --- /dev/null +++ b/notebooks/clean_data.ipynb @@ -0,0 +1,883 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "f6627fad-8b55-4c90-85ea-254eec781023", + "metadata": {}, + "outputs": [], + "source": [ + "from __future__ import annotations\n", + "\n", + "import json\n", + "from pathlib import Path\n", + "\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "import pandas as pd\n", + "import seaborn as sns\n", + "from datetime import datetime, UTC\n", + "import json\n", + "\n", + "sns.set_theme(style=\"whitegrid\")\n", + "pd.set_option(\"display.max_columns\", 200)\n", + "ROOT = Path(\"..\").resolve()\n", + "DATASETS = {\n", + " \"train\": ROOT / \"data/static/v1/scenario_parameter_records_seeded_train.json\",\n", + " \"val\": ROOT / \"data/static/v1/scenario_parameter_records_seeded_val.json\",\n", + " \"holdout\": ROOT / \"data/static/v1/scenario_parameter_records_seeded_holdout.json\",\n", + "}\n", + "NUMERIC_COLUMNS = [\n", + " \"base_spread_prob\",\n", + " \"wind_strength\",\n", + " \"spread_rate_1h_m\",\n", + " \"spread_score\",\n", + " \"weather_score\",\n", + " \"cffdrs_dryness_score\",\n", + " \"size_factor\",\n", + " \"fire_type_factor\",\n", + " \"fuel_factor\",\n", + " \"rain_factor\",\n", + "]" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "f02bda65-76ee-4899-afae-c13a445dfdc9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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4AB-2017-CWF254__20171017AB-2017-CWF254AB_HISTORICAL_WILDFIREAB2017train0.2194highW0.60003600.00.99660.76790.00.95071.181.121.060.010.00crownC3measured27873512512544236581.730736e+19train
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" + ], + "text/plain": [ + " record_id fire_id source province \\\n", + "0 AB-2008-MWF074__20080703 AB-2008-MWF074 AB_HISTORICAL_WILDFIRE AB \n", + "1 AB-2018-SWF158__20180901 AB-2018-SWF158 AB_HISTORICAL_WILDFIRE AB \n", + "2 AB-2012-MWF047__20120710 AB-2012-MWF047 AB_HISTORICAL_WILDFIRE AB \n", + "3 AB-2014-GWF044__20140715 AB-2014-GWF044 AB_HISTORICAL_WILDFIRE AB \n", + "4 AB-2017-CWF254__20171017 AB-2017-CWF254 AB_HISTORICAL_WILDFIRE AB \n", + "\n", + " year split base_spread_prob severity_bucket wind_direction \\\n", + "0 2008 train 0.1792 high S \n", + "1 2018 train 0.1571 medium NW \n", + "2 2012 train 0.1797 high W \n", + "3 2014 train 0.2200 high SW \n", + "4 2017 train 0.2194 high W \n", + "\n", + " wind_strength spread_rate_1h_m spread_score weather_score \\\n", + "0 0.1625 6000.0 0.7736 0.4535 \n", + "1 0.1625 4260.0 0.6504 0.2518 \n", + "2 0.1625 4200.0 0.7759 0.4640 \n", + "3 0.2625 3900.0 1.0000 0.5501 \n", + "4 0.6000 3600.0 0.9966 0.7679 \n", + "\n", + " cffdrs_dryness_score size_factor fire_type_factor fuel_factor \\\n", + "0 0.0 0.9500 1.00 1.12 \n", + "1 0.0 0.9500 1.00 1.00 \n", + "2 0.0 0.9500 1.00 1.12 \n", + "3 0.0 1.0250 1.18 1.12 \n", + "4 0.0 0.9507 1.18 1.12 \n", + "\n", + " rain_factor observed_spread_rate_m_min assessment_hectares fire_type \\\n", + "0 1.0 100.0 0.50 surface \n", + "1 1.0 71.0 0.01 surface \n", + "2 1.0 70.0 0.30 surface \n", + "3 1.0 65.0 1000.00 crown \n", + "4 1.0 60.0 10.00 crown \n", + "\n", + " fuel_type record_quality_flag ignition_seed layout_seed \\\n", + "0 C2 measured 14443855870861270751 1.127873e+19 \n", + "1 O1b measured 10198127025334700556 1.445778e+19 \n", + "2 C2 measured 8000671072565187824 8.493056e+17 \n", + "3 C3 measured 15167517599069789484 1.618321e+19 \n", + "4 C3 measured 2787351251254423658 1.730736e+19 \n", + "\n", + " split_source \n", + "0 train \n", + "1 train \n", + "2 train \n", + "3 train \n", + "4 train " + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "def load_records(path: Path, split_name: str) -> pd.DataFrame:\n", + " payload = json.loads(path.read_text())\n", + " records = payload.get(\"records\", []) if isinstance(payload, dict) else payload\n", + " frame = pd.DataFrame(records)\n", + " frame[\"split_source\"] = split_name\n", + " return frame\n", + "\n", + "frames = [load_records(path, split) for split, path in DATASETS.items()]\n", + "df = pd.concat(frames, ignore_index=True)\n", + "df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "8b033e72-9f3b-4ec8-91ad-13389ccdb8d2", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'rows_total': 19246,\n", + " 'rows_by_split_source': {'train': 18252, 'val': 993, 'holdout': 1},\n", + " 'rows_by_split_field': {'train': 18252, 'val': 993, 'holdout': 1},\n", + " 'unique_record_id': 19246,\n", + " 'duplicate_record_id_count': 0,\n", + " 'duplicate_fire_id_count': 0}" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "summary = {\n", + " \"rows_total\": int(len(df)),\n", + " \"rows_by_split_source\": df[\"split_source\"].value_counts(dropna=False).to_dict(),\n", + " \"rows_by_split_field\": df[\"split\"].value_counts(dropna=False).to_dict(),\n", + " \"unique_record_id\": int(df[\"record_id\"].nunique(dropna=True)),\n", + " \"duplicate_record_id_count\": int(df.duplicated(subset=[\"record_id\"]).sum()),\n", + " \"duplicate_fire_id_count\": int(df.duplicated(subset=[\"fire_id\"]).sum()),\n", + "}\n", + "summary" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "0e219269-0e8a-4683-94c8-dff37cc70a73", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "record_id 0\n", + "split 0\n", + "base_spread_prob 0\n", + "severity_bucket 0\n", + "wind_direction 0\n", + "wind_strength 0\n", + "ignition_seed 0\n", + "layout_seed 0\n", + "dtype: int64" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "required = [\n", + " \"record_id\",\n", + " \"split\",\n", + " \"base_spread_prob\",\n", + " \"severity_bucket\",\n", + " \"wind_direction\",\n", + " \"wind_strength\",\n", + " \"ignition_seed\",\n", + " \"layout_seed\",\n", + "]\n", + "null_counts = df[required].isna().sum().sort_values(ascending=False)\n", + "null_counts" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "f5e791a7-550f-43d9-ab2a-8458c8a66439", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "All columns:\n", + "['record_id', 'fire_id', 'source', 'province', 'year', 'split', 'base_spread_prob', 'severity_bucket', 'wind_direction', 'wind_strength', 'spread_rate_1h_m', 'spread_score', 'weather_score', 'cffdrs_dryness_score', 'size_factor', 'fire_type_factor', 'fuel_factor', 'rain_factor', 'observed_spread_rate_m_min', 'assessment_hectares', 'fire_type', 'fuel_type', 'record_quality_flag', 'ignition_seed', 'layout_seed', 'split_source']\n", + "\n", + "Constant column: cffdrs_dryness_score\n", + "\n", + "Numeric cols:\n", + "['base_spread_prob', 'wind_strength', 'spread_rate_1h_m', 'spread_score', 'weather_score', 'size_factor', 'fire_type_factor', 'fuel_factor', 'rain_factor']\n" + ] + } + ], + "source": [ + "print(\"All columns:\")\n", + "print(df.columns.tolist())\n", + "\n", + "const_cols = []\n", + "for col in NUMERIC_COLUMNS:\n", + " unique_vals = df[col].nunique()\n", + " if unique_vals <= 1:\n", + " print(f\"\\nConstant column: {col}\")\n", + " const_cols.append(col)\n", + "\n", + "print(\"\\nNumeric cols:\")\n", + "valid_numeric_cols = [col for col in NUMERIC_COLUMNS if col in df.columns and col not in const_cols]\n", + "print(valid_numeric_cols)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "6b5fb602-458c-44f5-8fde-6b27d979a466", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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record_idfire_idsplitsplit_sourceseverity_bucketspread_rate_1h_mbase_spread_probspread_scorewind_strengthweather_score
18245AB-2014-RWF022__20140524AB-2014-RWF022traintrainlow-60.00.04520.02900.11250.1618
18246AB-2017-MWF091__20170916AB-2017-MWF091traintrainlow-60.00.06060.11470.35000.5736
18247AB-2019-SWF092__20190602AB-2019-SWF092traintrainlow-60.00.05990.11060.28750.4940
18248AB-2015-HWF100__20150518AB-2015-HWF100traintrainlow-60.00.05900.10550.22500.5274
18249AB-2022-RWF056__20220820AB-2022-RWF056traintrainlow-60.00.04770.04270.16250.1905
18250AB-2020-CWF038__20200628AB-2020-CWF038traintrainlow-60.00.04600.03350.12500.1677
18251AB-2019-SWF063__20190522AB-2019-SWF063traintrainlow-60.00.05290.07140.16250.4210
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" + ], + "text/plain": [ + " record_id fire_id split split_source \\\n", + "18245 AB-2014-RWF022__20140524 AB-2014-RWF022 train train \n", + "18246 AB-2017-MWF091__20170916 AB-2017-MWF091 train train \n", + "18247 AB-2019-SWF092__20190602 AB-2019-SWF092 train train \n", + "18248 AB-2015-HWF100__20150518 AB-2015-HWF100 train train \n", + "18249 AB-2022-RWF056__20220820 AB-2022-RWF056 train train \n", + "18250 AB-2020-CWF038__20200628 AB-2020-CWF038 train train \n", + "18251 AB-2019-SWF063__20190522 AB-2019-SWF063 train train \n", + "\n", + " severity_bucket spread_rate_1h_m base_spread_prob spread_score \\\n", + "18245 low -60.0 0.0452 0.0290 \n", + "18246 low -60.0 0.0606 0.1147 \n", + "18247 low -60.0 0.0599 0.1106 \n", + "18248 low -60.0 0.0590 0.1055 \n", + "18249 low -60.0 0.0477 0.0427 \n", + "18250 low -60.0 0.0460 0.0335 \n", + "18251 low -60.0 0.0529 0.0714 \n", + "\n", + " wind_strength weather_score \n", + "18245 0.1125 0.1618 \n", + "18246 0.3500 0.5736 \n", + "18247 0.2875 0.4940 \n", + "18248 0.2250 0.5274 \n", + "18249 0.1625 0.1905 \n", + "18250 0.1250 0.1677 \n", + "18251 0.1625 0.4210 " + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cols = [\n", + " \"record_id\",\n", + " \"fire_id\",\n", + " \"split\",\n", + " \"split_source\",\n", + " \"severity_bucket\",\n", + " \"spread_rate_1h_m\",\n", + " \"base_spread_prob\",\n", + " \"spread_score\",\n", + " \"wind_strength\",\n", + " \"weather_score\"\n", + "]\n", + "\n", + "df.loc[df[\"spread_rate_1h_m\"] < 0, cols]" + ] + }, + { + "cell_type": "markdown", + "id": "ac945a7d-c733-4b33-9dd2-811fec8d492d", + "metadata": {}, + "source": [ + "There is no transformation in the data pipeline, which:\n", + "\n", + "- Requires raw FIRE_SPREAD_RATE to be present (otherwise row is dropped)\n", + "- Parses FIRE_SPREAD_RATE as float into observed_spread_rate_m_min and writes it unchanged to normalized records\n", + "- Drops the row if spread rate cannot be parsed (None)\n", + "- Computes spread_rate_1h_m as a derived field: observed_spread_rate_m_min * 60, rounded to 1 decimal\n", + "\n", + "So the negative values came from the Alberta dataset itself. And since the negative semantics are not known, dropping the 7 out of 19246 rows is my best bet." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "099a1b60-69fd-4bbb-9312-cd041321b86d", + "metadata": {}, + "outputs": [], + "source": [ + "df = df[df[\"spread_rate_1h_m\"] >= 0].copy()\n", + "df = df.drop(columns=[\"cffdrs_dryness_score\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "de252683-2b89-4f92-b03c-32909134446c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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record_idfire_idsplitsplit_sourceseverity_bucketspread_rate_1h_mbase_spread_probspread_scorewind_strengthweather_score
\n", + "
" + ], + "text/plain": [ + "Empty DataFrame\n", + "Columns: [record_id, fire_id, split, split_source, severity_bucket, spread_rate_1h_m, base_spread_prob, spread_score, wind_strength, weather_score]\n", + "Index: []" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# check again \n", + "cols = [\n", + " \"record_id\",\n", + " \"fire_id\",\n", + " \"split\",\n", + " \"split_source\",\n", + " \"severity_bucket\",\n", + " \"spread_rate_1h_m\",\n", + " \"base_spread_prob\",\n", + " \"spread_score\",\n", + " \"wind_strength\",\n", + " \"weather_score\"\n", + "]\n", + "\n", + "df.loc[df[\"spread_rate_1h_m\"] < 0, cols]" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "6438f731-d803-40af-864c-3d1f02a1a7aa", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Index(['record_id', 'fire_id', 'source', 'province', 'year', 'split',\n", + " 'base_spread_prob', 'severity_bucket', 'wind_direction',\n", + " 'wind_strength', 'spread_rate_1h_m', 'spread_score', 'weather_score',\n", + " 'size_factor', 'fire_type_factor', 'fuel_factor', 'rain_factor',\n", + " 'observed_spread_rate_m_min', 'assessment_hectares', 'fire_type',\n", + " 'fuel_type', 'record_quality_flag', 'ignition_seed', 'layout_seed',\n", + " 'split_source'],\n", + " dtype='str')\n" + ] + } + ], + "source": [ + "# check if cffdrs col was dropped\n", + "print(df.columns)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "e077eb96-6ab5-46e3-a1ff-a2807ad55bd7", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "train 18245\n", + "val 993\n", + "holdout 1\n" + ] + } + ], + "source": [ + "# check split vs split_name for matching record_count \n", + "for split_name in [\"train\", \"val\", \"holdout\"]:\n", + " n_df = (df[\"split\"] == split_name).sum()\n", + " print(split_name, n_df)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "c6dd6487-a7be-4678-92d6-bd7e4ecaac19", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Wrote 18245 records -> /home/makerspace/thomson/firebot-eval/data/static/v2/scenario_parameter_records_seeded_train.json\n", + "Wrote 993 records -> /home/makerspace/thomson/firebot-eval/data/static/v2/scenario_parameter_records_seeded_val.json\n", + "Wrote 1 records -> /home/makerspace/thomson/firebot-eval/data/static/v2/scenario_parameter_records_seeded_holdout.json\n", + "Wrote 19239 records -> /home/makerspace/thomson/firebot-eval/data/static/v2/scenario_parameter_records_seeded.json\n" + ] + } + ], + "source": [ + "OUT_DIR = ROOT / \"data/static/v2\"\n", + "OUT_DIR.mkdir(parents=True, exist_ok=True)\n", + "\n", + "# Sanity check: helper split_source must match canonical split\n", + "if \"split_source\" in df.columns and \"split\" in df.columns:\n", + " mismatch_mask = df[\"split_source\"] != df[\"split\"]\n", + " if mismatch_mask.any():\n", + " mismatch_rows = df.loc[mismatch_mask, [\"record_id\", \"split\", \"split_source\"]]\n", + " raise ValueError(\n", + " f\"split_source does not match split for {mismatch_mask.sum()} rows.\\n\"\n", + " f\"Example mismatches:\\n{mismatch_rows.head(10)}\"\n", + " )\n", + "\n", + "# Make sure seed columns are true ints\n", + "for col in [\"ignition_seed\", \"layout_seed\", \"year\"]:\n", + " if col in df.columns:\n", + " df[col] = pd.to_numeric(df[col], errors=\"coerce\").astype(\"UInt64\")\n", + "\n", + "preferred_cols = [\n", + " \"record_id\", \"fire_id\", \"source\", \"province\", \"year\", \"split\",\n", + " \"base_spread_prob\", \"severity_bucket\", \"wind_direction\", \"wind_strength\",\n", + " \"spread_rate_1h_m\", \"spread_score\", \"weather_score\",\n", + " \"size_factor\", \"fire_type_factor\", \"fuel_factor\", \"rain_factor\",\n", + " \"observed_spread_rate_m_min\", \"assessment_hectares\",\n", + " \"fire_type\", \"fuel_type\", \"record_quality_flag\",\n", + " \"ignition_seed\", \"layout_seed\",\n", + "]\n", + "\n", + "# Keep schema fields, drop temporary helper split_source\n", + "ordered_cols = [c for c in preferred_cols if c in df.columns] + [\n", + " c for c in df.columns if c not in preferred_cols and c != \"split_source\"\n", + "]\n", + "\n", + "def _to_py_records(frame: pd.DataFrame) -> list[dict]:\n", + " records = []\n", + " for rec in frame[ordered_cols].to_dict(orient=\"records\"):\n", + " out = {}\n", + " for k, v in rec.items():\n", + " if pd.isna(v):\n", + " out[k] = None\n", + " elif isinstance(v, (np.integer,)):\n", + " out[k] = int(v)\n", + " elif isinstance(v, (np.floating, float)):\n", + " out[k] = None if not np.isfinite(v) else float(v)\n", + " elif isinstance(v, (np.bool_,)):\n", + " out[k] = bool(v)\n", + " else:\n", + " out[k] = v\n", + " records.append(out)\n", + " return records\n", + "\n", + "# Write per-split seeded files using canonical split field\n", + "for split_name in [\"train\", \"val\", \"holdout\"]:\n", + " split_df = df[df[\"split\"] == split_name].copy()\n", + " records = _to_py_records(split_df)\n", + "\n", + " payload = {\n", + " \"schema_version\": 3,\n", + " \"generated_at\": datetime.now(UTC).isoformat(),\n", + " \"split\": split_name,\n", + " \"record_count\": len(records),\n", + " \"records\": records,\n", + " }\n", + "\n", + " out_path = OUT_DIR / f\"scenario_parameter_records_seeded_{split_name}.json\"\n", + " out_path.write_text(json.dumps(payload, indent=2), encoding=\"utf-8\")\n", + " print(f\"Wrote {len(records):>6} records -> {out_path}\")\n", + "\n", + "# Optional combined seeded file\n", + "all_records = _to_py_records(df.copy())\n", + "combined_payload = {\n", + " \"schema_version\": 3,\n", + " \"generated_at\": datetime.now(UTC).isoformat(),\n", + " \"record_count\": len(all_records),\n", + " \"records\": all_records,\n", + "}\n", + "combined_path = OUT_DIR / \"scenario_parameter_records_seeded.json\"\n", + "combined_path.write_text(json.dumps(combined_payload, indent=2), encoding=\"utf-8\")\n", + "print(f\"Wrote {len(all_records):>6} records -> {combined_path}\")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.14.2" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/notebooks/data_audit.ipynb b/notebooks/data_audit.ipynb new file mode 100644 index 0000000..38488b2 --- /dev/null +++ b/notebooks/data_audit.ipynb @@ -0,0 +1,5608 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "1a39a1f8", + "metadata": {}, + "source": [ + "# Data Analysis \n", + "\n", + "This notebook is to check whether any additional preprocessing is needed for the data outputted directly from the data pipeline from the Alberta Historical Wildfires Dataset." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "3004a9c6", + "metadata": {}, + "outputs": [], + "source": [ + "from __future__ import annotations\n", + "\n", + "import json\n", + "from pathlib import Path\n", + "\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "import pandas as pd\n", + "import seaborn as sns\n", + "\n", + "sns.set_theme(style=\"whitegrid\")\n", + "pd.set_option(\"display.max_columns\", 200)\n", + "ROOT = Path(\"..\").resolve()\n", + "DATASETS = {\n", + " \"train\": ROOT / \"data/static/v1/scenario_parameter_records_seeded_train.json\",\n", + " \"val\": ROOT / \"data/static/v1/scenario_parameter_records_seeded_val.json\",\n", + " \"holdout\": ROOT / \"data/static/v1/scenario_parameter_records_seeded_holdout.json\",\n", + "}\n", + "NUMERIC_COLUMNS = [\n", + " \"base_spread_prob\",\n", + " \"wind_strength\",\n", + " \"spread_rate_1h_m\",\n", + " \"spread_score\",\n", + " \"weather_score\",\n", + " \"cffdrs_dryness_score\",\n", + " \"size_factor\",\n", + " \"fire_type_factor\",\n", + " \"fuel_factor\",\n", + " \"rain_factor\",\n", + "]" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "b0307f60", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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record_idfire_idsourceprovinceyearsplitbase_spread_probseverity_bucketwind_directionwind_strengthspread_rate_1h_mspread_scoreweather_scorecffdrs_dryness_scoresize_factorfire_type_factorfuel_factorrain_factorobserved_spread_rate_m_minassessment_hectaresfire_typefuel_typerecord_quality_flagignition_seedlayout_seedsplit_source
0AB-2008-MWF074__20080703AB-2008-MWF074AB_HISTORICAL_WILDFIREAB2008train0.1792highS0.16256000.00.77360.45350.00.95001.001.121.0100.00.50surfaceC2measured144438558708612707511.127873e+19train
1AB-2018-SWF158__20180901AB-2018-SWF158AB_HISTORICAL_WILDFIREAB2018train0.1571mediumNW0.16254260.00.65040.25180.00.95001.001.001.071.00.01surfaceO1bmeasured101981270253347005561.445778e+19train
2AB-2012-MWF047__20120710AB-2012-MWF047AB_HISTORICAL_WILDFIREAB2012train0.1797highW0.16254200.00.77590.46400.00.95001.001.121.070.00.30surfaceC2measured80006710725651878248.493056e+17train
3AB-2014-GWF044__20140715AB-2014-GWF044AB_HISTORICAL_WILDFIREAB2014train0.2200highSW0.26253900.01.00000.55010.01.02501.181.121.065.01000.00crownC3measured151675175990697894841.618321e+19train
4AB-2017-CWF254__20171017AB-2017-CWF254AB_HISTORICAL_WILDFIREAB2017train0.2194highW0.60003600.00.99660.76790.00.95071.181.121.060.010.00crownC3measured27873512512544236581.730736e+19train
\n", + "
" + ], + "text/plain": [ + " record_id fire_id source province \\\n", + "0 AB-2008-MWF074__20080703 AB-2008-MWF074 AB_HISTORICAL_WILDFIRE AB \n", + "1 AB-2018-SWF158__20180901 AB-2018-SWF158 AB_HISTORICAL_WILDFIRE AB \n", + "2 AB-2012-MWF047__20120710 AB-2012-MWF047 AB_HISTORICAL_WILDFIRE AB \n", + "3 AB-2014-GWF044__20140715 AB-2014-GWF044 AB_HISTORICAL_WILDFIRE AB \n", + "4 AB-2017-CWF254__20171017 AB-2017-CWF254 AB_HISTORICAL_WILDFIRE AB \n", + "\n", + " year split base_spread_prob severity_bucket wind_direction \\\n", + "0 2008 train 0.1792 high S \n", + "1 2018 train 0.1571 medium NW \n", + "2 2012 train 0.1797 high W \n", + "3 2014 train 0.2200 high SW \n", + "4 2017 train 0.2194 high W \n", + "\n", + " wind_strength spread_rate_1h_m spread_score weather_score \\\n", + "0 0.1625 6000.0 0.7736 0.4535 \n", + "1 0.1625 4260.0 0.6504 0.2518 \n", + "2 0.1625 4200.0 0.7759 0.4640 \n", + "3 0.2625 3900.0 1.0000 0.5501 \n", + "4 0.6000 3600.0 0.9966 0.7679 \n", + "\n", + " cffdrs_dryness_score size_factor fire_type_factor fuel_factor \\\n", + "0 0.0 0.9500 1.00 1.12 \n", + "1 0.0 0.9500 1.00 1.00 \n", + "2 0.0 0.9500 1.00 1.12 \n", + "3 0.0 1.0250 1.18 1.12 \n", + "4 0.0 0.9507 1.18 1.12 \n", + "\n", + " rain_factor observed_spread_rate_m_min assessment_hectares fire_type \\\n", + "0 1.0 100.0 0.50 surface \n", + "1 1.0 71.0 0.01 surface \n", + "2 1.0 70.0 0.30 surface \n", + "3 1.0 65.0 1000.00 crown \n", + "4 1.0 60.0 10.00 crown \n", + "\n", + " fuel_type record_quality_flag ignition_seed layout_seed \\\n", + "0 C2 measured 14443855870861270751 1.127873e+19 \n", + "1 O1b measured 10198127025334700556 1.445778e+19 \n", + "2 C2 measured 8000671072565187824 8.493056e+17 \n", + "3 C3 measured 15167517599069789484 1.618321e+19 \n", + "4 C3 measured 2787351251254423658 1.730736e+19 \n", + "\n", + " split_source \n", + "0 train \n", + "1 train \n", + "2 train \n", + "3 train \n", + "4 train " + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "def load_records(path: Path, split_name: str) -> pd.DataFrame:\n", + " payload = json.loads(path.read_text())\n", + " records = payload.get(\"records\", []) if isinstance(payload, dict) else payload\n", + " frame = pd.DataFrame(records)\n", + " frame[\"split_source\"] = split_name\n", + " return frame\n", + "\n", + "frames = [load_records(path, split) for split, path in DATASETS.items()]\n", + "df = pd.concat(frames, ignore_index=True)\n", + "df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "93c99575", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'rows_total': 19246,\n", + " 'rows_by_split_source': {'train': 18252, 'val': 993, 'holdout': 1},\n", + " 'rows_by_split_field': {'train': 18252, 'val': 993, 'holdout': 1},\n", + " 'unique_record_id': 19246,\n", + " 'duplicate_record_id_count': 0,\n", + " 'duplicate_fire_id_count': 0}" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "summary = {\n", + " \"rows_total\": int(len(df)),\n", + " \"rows_by_split_source\": df[\"split_source\"].value_counts(dropna=False).to_dict(),\n", + " \"rows_by_split_field\": df[\"split\"].value_counts(dropna=False).to_dict(),\n", + " \"unique_record_id\": int(df[\"record_id\"].nunique(dropna=True)),\n", + " \"duplicate_record_id_count\": int(df.duplicated(subset=[\"record_id\"]).sum()),\n", + " \"duplicate_fire_id_count\": int(df.duplicated(subset=[\"fire_id\"]).sum()),\n", + "}\n", + "summary" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "51f9ddf3", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "record_id 0\n", + "split 0\n", + "base_spread_prob 0\n", + "severity_bucket 0\n", + "wind_direction 0\n", + "wind_strength 0\n", + "ignition_seed 0\n", + "layout_seed 0\n", + "dtype: int64" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "required = [\n", + " \"record_id\",\n", + " \"split\",\n", + " \"base_spread_prob\",\n", + " \"severity_bucket\",\n", + " \"wind_direction\",\n", + " \"wind_strength\",\n", + " \"ignition_seed\",\n", + " \"layout_seed\",\n", + "]\n", + "null_counts = df[required].isna().sum().sort_values(ascending=False)\n", + "null_counts" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "6549fb3b", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "All columns:\n", + "['record_id', 'fire_id', 'source', 'province', 'year', 'split', 'base_spread_prob', 'severity_bucket', 'wind_direction', 'wind_strength', 'spread_rate_1h_m', 'spread_score', 'weather_score', 'cffdrs_dryness_score', 'size_factor', 'fire_type_factor', 'fuel_factor', 'rain_factor', 'observed_spread_rate_m_min', 'assessment_hectares', 'fire_type', 'fuel_type', 'record_quality_flag', 'ignition_seed', 'layout_seed', 'split_source']\n", + "⚠️ Constant column: cffdrs_dryness_score\n", + "\n", + "Numeric cols:\n", + "['base_spread_prob', 'wind_strength', 'spread_rate_1h_m', 'spread_score', 'weather_score', 'size_factor', 'fire_type_factor', 'fuel_factor', 'rain_factor']\n" + ] + } + ], + "source": [ + "print(\"All columns:\")\n", + "print(df.columns.tolist())\n", + "\n", + "const_cols = []\n", + "for col in valid_numeric_cols:\n", + " unique_vals = df[col].nunique()\n", + " if unique_vals <= 1:\n", + " print(f\"Constant column: {col}\")\n", + " const_cols.append(col)\n", + "\n", + "print(\"\\nNumeric cols:\")\n", + "valid_numeric_cols = [col for col in NUMERIC_COLUMNS if col in df.columns and col not in const_cols]\n", + "print(valid_numeric_cols)" + ] + }, + { + "cell_type": "markdown", + "id": "7613380b-f867-4cfa-b5c3-1a5f31435a8b", + "metadata": {}, + "source": [ + "# `cffdrs_dryness_score` needs to be dropped because it is constant.\n", + "\n", + "This is from a data pipeline config, where if the ingestion is run without the `cffdrs-year` flag, the column defaults to 0." + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "id": "d9b2b609-ea2f-4a7f-9478-0543fad81875", + "metadata": {}, + "outputs": [], + "source": [ + "def kde_is_safe(series, min_points=5):\n", + " \"\"\"\n", + " Check whether KDE is safe for a single numeric series.\n", + " \"\"\"\n", + " s = pd.Series(series).replace([np.inf, -np.inf], np.nan).dropna()\n", + "\n", + " if len(s) < min_points:\n", + " return False, f\"fewer than {min_points} valid points\"\n", + " if s.nunique() <= 1:\n", + " return False, \"constant or single unique value\"\n", + " if np.isclose(s.var(), 0):\n", + " return False, \"zero or near-zero variance\"\n", + "\n", + " return True, \"ok\"\n", + "\n", + "\n", + "def kde_is_safe_by_group(df, col, group_col=\"split_source\", min_points=5):\n", + " \"\"\"\n", + " KDE is only safe if every remaining group used by hue has enough variation.\n", + " \"\"\"\n", + " temp = df[[col, group_col]].replace([np.inf, -np.inf], np.nan).dropna(subset=[col, group_col])\n", + "\n", + " if temp.empty:\n", + " return False, \"no valid data after cleaning\"\n", + "\n", + " for group_name, group_df in temp.groupby(group_col):\n", + " ok, reason = kde_is_safe(group_df[col], min_points=min_points)\n", + " if not ok:\n", + " return False, f\"group '{group_name}' failed: {reason}\"\n", + "\n", + " return True, \"ok\"\n", + "\n", + "\n", + "def plot_numeric_column(\n", + " df,\n", + " col,\n", + " group_col=\"split_source\",\n", + " min_points_for_kde=5,\n", + " clip_percentiles=None,\n", + " log_x=False,\n", + " bins=30,\n", + " exclude_groups_from_density=(\"holdout\",),\n", + "):\n", + " \"\"\"\n", + " Plot histogram + boxplot for one column.\n", + "\n", + " Behavior:\n", + " - Groups in exclude_groups_from_density are excluded from histogram density + KDE.\n", + " - Those excluded groups are shown as vertical line(s) on the histogram.\n", + " - Those excluded groups are shown as point(s) on the boxplot.\n", + "\n", + " Returns a dict with KDE status info.\n", + " \"\"\"\n", + " if col not in df.columns:\n", + " return {\"column\": col, \"kde_used\": False, \"status\": \"missing column\"}\n", + "\n", + " temp = df[[col, group_col]].copy() if group_col in df.columns else df[[col]].copy()\n", + " temp = temp.replace([np.inf, -np.inf], np.nan).dropna(subset=[col])\n", + "\n", + " if temp.empty:\n", + " return {\"column\": col, \"kde_used\": False, \"status\": \"no valid numeric data\"}\n", + "\n", + " plot_df = temp.copy()\n", + "\n", + " # Clipping for easier viewing\n", + " if clip_percentiles is not None:\n", + " low_q, high_q = clip_percentiles\n", + " low = plot_df[col].quantile(low_q)\n", + " high = plot_df[col].quantile(high_q)\n", + " plot_df[col] = plot_df[col].clip(lower=low, upper=high)\n", + "\n", + " # Log transform for positive skewed data\n", + " title_suffix = \"\"\n", + " if log_x:\n", + " positive_mask = plot_df[col] > 0\n", + " plot_df = plot_df.loc[positive_mask].copy()\n", + " if plot_df.empty:\n", + " return {\"column\": col, \"kde_used\": False, \"status\": \"log_x requested but no positive values\"}\n", + " plot_df[col] = np.log10(plot_df[col])\n", + " title_suffix = \" (log10 scale)\"\n", + "\n", + " fig, ax = plt.subplots(1, 2, figsize=(13, 4))\n", + "\n", + " kde_ok = False\n", + " kde_reason = \"kde not evaluated\"\n", + " excluded_summary = []\n", + "\n", + " if group_col in plot_df.columns:\n", + " excluded_groups_from_density = set(exclude_groups_from_density)\n", + "\n", + " density_df = plot_df.loc[~plot_df[group_col].isin(excluded_groups_from_density)].copy()\n", + " marker_df = plot_df.loc[plot_df[group_col].isin(excluded_groups_from_density)].copy()\n", + "\n", + " # Decide KDE safety using only density groups\n", + " if density_df.empty:\n", + " kde_ok = False\n", + " kde_reason = \"no groups left after excluding marker-only groups\"\n", + " else:\n", + " kde_ok, kde_reason = kde_is_safe_by_group(\n", + " density_df, col, group_col=group_col, min_points=min_points_for_kde\n", + " )\n", + "\n", + " # Histogram / KDE for train/val/etc. only\n", + " try:\n", + " if not density_df.empty:\n", + " sns.histplot(\n", + " data=density_df,\n", + " x=col,\n", + " hue=group_col,\n", + " kde=kde_ok,\n", + " bins=bins,\n", + " stat=\"density\",\n", + " common_norm=False,\n", + " ax=ax[0]\n", + " )\n", + " else:\n", + " sns.histplot(\n", + " data=plot_df,\n", + " x=col,\n", + " kde=False,\n", + " bins=bins,\n", + " stat=\"density\",\n", + " ax=ax[0]\n", + " )\n", + " except Exception as e:\n", + " kde_ok = False\n", + " kde_reason = f\"histplot/KDE runtime failure: {e}\"\n", + "\n", + " if not density_df.empty:\n", + " sns.histplot(\n", + " data=density_df,\n", + " x=col,\n", + " hue=group_col,\n", + " kde=False,\n", + " bins=bins,\n", + " stat=\"density\",\n", + " common_norm=False,\n", + " ax=ax[0]\n", + " )\n", + " else:\n", + " sns.histplot(\n", + " data=plot_df,\n", + " x=col,\n", + " kde=False,\n", + " bins=bins,\n", + " stat=\"density\",\n", + " ax=ax[0]\n", + " )\n", + "\n", + " # Show excluded groups as vertical line(s)\n", + " if not marker_df.empty:\n", + " for group_name, group_data in marker_df.groupby(group_col):\n", + " vals = group_data[col].tolist()\n", + " excluded_summary.append(f\"{group_name}: n={len(vals)}, values={np.round(vals, 4).tolist()}\")\n", + "\n", + " for v in vals:\n", + " ax[0].axvline(v, linestyle=\"--\", alpha=0.9)\n", + "\n", + " if excluded_summary:\n", + " ax[0].text(\n", + " 0.99, 0.98,\n", + " \"Marker-only groups:\\n\" + \"\\n\".join(excluded_summary),\n", + " transform=ax[0].transAxes,\n", + " ha=\"right\", va=\"top\",\n", + " fontsize=9,\n", + " bbox=dict(boxstyle=\"round,pad=0.3\", alpha=0.15)\n", + " )\n", + "\n", + " # Boxplot for density groups, points for excluded groups\n", + " order = []\n", + " if not density_df.empty:\n", + " order.extend(list(pd.unique(density_df[group_col])))\n", + " if not marker_df.empty:\n", + " for g in pd.unique(marker_df[group_col]):\n", + " if g not in order:\n", + " order.append(g)\n", + "\n", + " if not density_df.empty:\n", + " sns.boxplot(\n", + " data=density_df,\n", + " x=group_col,\n", + " y=col,\n", + " order=order,\n", + " ax=ax[1]\n", + " )\n", + "\n", + " if not marker_df.empty:\n", + " sns.stripplot(\n", + " data=marker_df,\n", + " x=group_col,\n", + " y=col,\n", + " order=order,\n", + " jitter=False,\n", + " size=8,\n", + " marker=\"D\",\n", + " color=\"black\",\n", + " ax=ax[1]\n", + " )\n", + "\n", + " else:\n", + " # No grouping column\n", + " kde_ok, kde_reason = kde_is_safe(plot_df[col], min_points=min_points_for_kde)\n", + "\n", + " try:\n", + " sns.histplot(\n", + " data=plot_df,\n", + " x=col,\n", + " kde=kde_ok,\n", + " bins=bins,\n", + " stat=\"density\",\n", + " ax=ax[0]\n", + " )\n", + " except Exception as e:\n", + " kde_ok = False\n", + " kde_reason = f\"histplot/KDE runtime failure: {e}\"\n", + " sns.histplot(\n", + " data=plot_df,\n", + " x=col,\n", + " kde=False,\n", + " bins=bins,\n", + " stat=\"density\",\n", + " ax=ax[0]\n", + " )\n", + "\n", + " sns.boxplot(data=plot_df, y=col, ax=ax[1])\n", + "\n", + " ax[0].set_title(f\"Distribution: {col}{title_suffix}\")\n", + " ax[1].set_title(f\"Boxplot: {col}{title_suffix}\")\n", + "\n", + " plt.tight_layout()\n", + " plt.show()\n", + "\n", + " status = kde_reason\n", + " if group_col in plot_df.columns and exclude_groups_from_density:\n", + " status += f\" | excluded from density/KDE: {list(exclude_groups_from_density)}\"\n", + "\n", + " return {\n", + " \"column\": col,\n", + " \"kde_used\": kde_ok,\n", + " \"status\": status\n", + " }" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "id": "fe4927ed-6464-48aa-82ed-43ecd50152d6", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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qanzCnhvmvIcATZs2pWbNmsbXer2eY8eO0bFjRypXrmzc7u7uTo8ePTh9+nSmVcAHDhxo8kR58ODBWFpaPhGrOQohhCjepk+fznfffcd3333H/Pnzad68Oe+9957JEMqctK8mTJhAzZo1mTJlCjNnzqRZs2YMHz48y2s/+Ls2oxecTqfjxIkTWZbPze/YrPTt25crV66Y3bZ1d3enU6dOxtcODg706dOHixcvEh4eDqS3hTLmRNbr9URHR2NnZ0e1atVM2ixOTk7cv3+fs2fPZnktRVE4cOAA7du3R1EUk7Zd69atiY+Pz9TWyo457cgMHTt2NPZeBPD396d+/fpZtkUGDx5s8jonbdEH23YZvVKbNGlCcnIyN2/eBNKH2EZGRjJo0CCT+cmfe+454z3llDnvYYYBAwaY9GI9fvw4Op2O4cOHm8x73b9/fxwcHDLVUU7ayUKURDJMWIhiIikp6ZHDdrt168aWLVt47733+Oyzz2jRogWdOnWiS5cuZi/k4OHhkaPFQqpUqWLyWqVSUaVKFYKDg80+R24EBwfj7u5ukoiE/4aFPHz9rIYZODs7Zzv/h7kevn8vLy/UarXJXHenT59m0aJFnDlzhuTkZJPy8fHxODo60qxZMzp37szixYtZtWoVzZo1o2PHjvTs2dP4fty+fZv4+HhatGiRZSyRkZFmx/3WW28xdepUnn76aerWrUu7du3o06ePSYMb0htUD0+mXLVqVSC9jhs0aGDc/vAKfoGBgQAmQ0EeFh8fj7OzMykpKSxbtoxt27YRGhpqMo/Qg/P8hISEZBp6C1CtWrVH3u+jmPMeQub7i4qKIjk5Octr16hRA4PBwL1796hVq1a217K3t8fNza3Av1+EEEIIf39/kwVEevToQZ8+fZg1axZPP/00VlZWOWpfWVlZ8fHHH9OvXz+sra35+OOPs5zyQq1WZ2pfZPzuzO73X25+x+aHKlWqZLqHB9s9bm5uGAwGVq9ezfr16wkKCjKZA8/FxcX49csvv8zx48fp378/VapUoVWrVvTo0cM4FU5UVBRxcXFs2rSJTZs2ZRlPxrDuxzGnHfngPT6satWq7N2712SbpaUl5cuXN9mWk7botWvXWLBgAX/88UemxG1G2y5jnu6HY9JoNJk+M+Yy5z3M8HDbLiOejOHmGaysrKhcuXKmz2tO2slClESSDBSiGLh//z7x8fEmvdseZmNjw7p16zh58iS//vorR48eZc+ePWzatImVK1eaPPl61DkKi16vNyum/JDddRQzJq/OiYcbH3fu3GHkyJFUr16dqVOnUqFCBTQaDb/99hurVq0y9oxTqVQsXLiQM2fO8Msvv3D06FHeffddvvvuOzZt2oS9vT0Gg4GyZcvy6aefZnltV1dXs+Ps1q0bTZo04eDBgxw7dowVK1awfPlyFi1aZDKBck48/NnJqNu3336bOnXqZHlMRgPqww8/NM4l2KBBAxwdHVGpVEyaNCnf36PHyW7uvsL83hBCCCEKmlqtpnnz5qxevZrbt2/nKrH2+++/A5Camsrt27dzncApSZYuXcqXX37J888/z+uvv46zszNqtZqPP/7YpM1So0YN9u3bZ2yTHzhwgPXr1zN+/Hhee+01YxuwV69ePPfcc1le6+GFArNjTjsypx7sAZnB3LZoXFwcQ4cOxcHBgddeew0vLy+sra25cOECn376aa5HMOW3vMw5LURpIMlAIYqBHTt2ANC6detHllOr1bRo0YIWLVrwzjvvsHTpUr744gtOnjxJy5Yt832Rgtu3b5u8VhSF27dvmzResuuBFxISYtJozElsnp6enDhxgoSEBJOn1xnDDjw9Pc0+V1483PC9ffs2BoPB+KTx8OHDaLVavv76aypWrGgsl92Q3gYNGtCgQQMmTZrErl27eOutt9izZw/9+/fHy8uLEydO0KhRo3xJTLm7u/PCCy/wwgsvEBkZyXPPPcfSpUtNkoFhYWEkJSWZPPXM6PH3uDrOqBcHBwdatmz5yLL79++nT58+JqtOp6amZlr9r2LFipk+cwC3bt165Pkf5XHvYXZcXV2xtbXN8to3b95ErVZn6pF6+/ZtnnrqKePrxMREwsPDadu2ba7jF0IIIXIro1dbxuIJOWlfXb58mSVLltC3b18uX77Me++9x65duzIN7zQYDNy9e9ekl1/G787s2hI5+R2bn23b27dvoyiKyTkfbvfs37+f5s2b8/HHH5scGxcXZ7IoHaQ/9OzWrRvdunVDq9UyceJEli5dytixY3F1dTU+7H1cO8lcj2pHPniPDwsMDDSr7WxuW/TPP/8kJiaGxYsX07RpU+P2h0ddZLSNb9++bdLbUKfTERQURO3atR8b08PMeQ+zkxHPzZs3TdqGWq2WoKCgTO9TXtrJQpQEMmegEEXsxIkTfPXVV1SqVMlkxbeHxcTEZNqW0SNLq9UCGFdlzevw2Aw//vijSdf/ffv2ZUpuVK5cmYCAAGMMAL/88gv37t0zOVdOYmvbti16vZ5169aZbF+1ahUqlSrXyZUbN24YhwiY4+Hrr1271hgf/Ncj8eFhr1u3bjU5LjY2NlMPuIffu65du6LX6/nqq68yxZGWlmb2e6rX6zMl2cqWLYu7u7vJe5Rx3geHrmi1WjZt2oSrq6vJqsNZ8fPzw8vLi5UrV2Y51+WDQ1+y6rm5Zs0ak6E3AO3atePMmTMm8+9ERUWxa9euR8byKI97D7NjYWFBq1at+Pnnn00atxEREezevZvGjRtnGma1adMmk7l8NmzYQFpamiQDhRBCFDqdTsexY8fQaDTGYcDmtq90Oh3vvPMO7u7uTJs2jTlz5hAREZEpQZbhwfMpisK6devQaDTZDjfNye/YjPbjw22bjG03btzIcl9WwsLCTFbgTUhI4Mcff6ROnTrG4aUWFhaZ2mx79+7NNA9zdHS0yWsrKytq1KiBoijodDosLCzo3Lkz+/fv5+rVq5liMXeIMJjXjsxw6NAhk1jPnj1LQECAWW0Rc9uiGT0KH4xJq9Wyfv16k2P8/PxwdXVl48aNJnFu374913+rmPMeZqdly5ZoNBrWrFljEvsPP/xAfHx8ptEzeWknC1ESSM9AIQrRkSNHuHnzJnq9noiICE6ePMmxY8eoWLEiX3/99SO7sy9ZsoS//vqLdu3a4enpSWRkJOvXr6d8+fLG+UkyFmXYuHEj9vb22NnZ4e/vn+thHc7OzgwZMoS+ffsSGRnJ999/T5UqVRgwYICxTP/+/dm/fz+jR4+ma9eu3Llzh127dmUa8pyT2Nq3b0/z5s354osvCA4OxsfHh2PHjvHzzz8zYsSIRw6nfpRu3brRrFkzsxcRCQoKYty4cbRp04YzZ86wc+dOevToYXyS2apVKzQaDePGjWPQoEEkJiayZcsWypYtazKJ8fbt29mwYQMdO3bEy8uLxMRENm/ejIODg7Fx1qxZMwYOHMiyZcu4dOmS8dyBgYHs27ePadOm0aVLl8fGnJiYSLt27ejcuTO1a9fGzs6O48ePc+7cOZOeeZDee3D58uUEBwdTtWpV9uzZw6VLl/jwww9NFsLIilqtZvbs2bz88sv06NGDvn374uHhQWhoKCdPnsTBwYGlS5cC8PTTT7Njxw4cHByoWbMmZ86c4fjx4yZz7wCMHj2aHTt2MHr0aIYPH46trS2bN2+mYsWKXLly5bH3npXHvYeP8sYbb3D8+HGGDBnCkCFDsLCwYNOmTWi1WiZPnpypvE6nY+TIkXTt2pVbt26xfv16GjduTIcOHXIVuxBCCGGujDYm/PcgLTAwkDFjxhgTa+a2r77++msuXbrEqlWrcHBwoHbt2owfP54FCxbQpUsXk6SJtbU1R48eZcqUKfj7+3P06FF+/fVXxo0b98gpTsz9HVunTh0sLCxYvnw58fHxWFlZ8dRTT1G2bFkOHjzIO++8w5w5c8xaRKRq1apMmzaNc+fOUbZsWbZu3UpkZCRz5swxlnn66adZsmQJ77zzDg0bNuTq1avs2rUrU3t11KhRlCtXjkaNGlG2bFlu3rzJ2rVradeunbG+//e//3Hy5EkGDBhA//79qVmzJrGxsVy4cIETJ07w559/PjZmMK8dmcHLy4vBgwczePBgtFotq1evxsXFhdGjRz/2Oua2RRs2bIizszNTp05l2LBhqFQqduzYkSlhqdFoeOONN5g+fTojRoygW7duBAUFsW3btlz/bWLOe5gdV1dXxo4dy+LFixk9ejTt27c3ttfq1auXqVNGXtrJQpQEkgwUohAtXLgQSP/l6OLigre3N++++y59+/bN1MvoYe3btyc4OJitW7cSHR1NmTJlaNasGRMnTjQO2dBoNMydO5fPP/+cGTNmkJaWxpw5c3L9C3fcuHFcuXKFb775hsTERFq0aMEHH3xgfEoL0KZNG6ZOncp3333Hxx9/jJ+fH0uXLuWTTz4xOVdOYlOr1Xz99dcsXLiQPXv2sG3bNjw9PXn77bd56aWXcnUvubFgwQK+/PJLPvvsMywtLRk6dChvv/22cX/16tVZuHAhCxYs4JNPPqFcuXIMHjwYV1dX3n33XWO5Zs2ace7cOfbs2UNERASOjo74+/vz6aefmtz/rFmz8PPzY+PGjXzxxRdYWFjg6elJr169aNSokVkx29jYMHjwYI4dO8aBAwdQFAUvLy8++OADhgwZYlLW2dmZuXPnMnv2bDZv3ky5cuWYPn26SbL3UZo3b86mTZv46quvWLt2LUlJSbi5ueHv72+y+tq0adNQq9Xs2rWL1NRUGjVqxHfffZepYeru7s7q1auZPXs233zzDS4uLgwaNMjYMyE3HvcePkqtWrVYt24dn332GcuWLUNRFPz9/Zk/f36WC51Mnz6dXbt2sXDhQnQ6Hd27d+e9997L9+H7QgghxMMy2piQnqCrXr06M2bMYNCgQcbt5rSvLly4wLJlyxg6dKjJ1Bdjxozh559/5r333uOnn37CyckJSO9J9+233zJjxgzmz5+Pvb09EyZMYPz48Y+M19zfsW5ubsycOZNly5Yxbdo09Ho9q1evfuSie9mpWrUq77//PvPmzePWrVtUqlSJL774gjZt2hjLjBs3juTkZHbt2sWePXvw9fVl2bJlfPbZZybnGjhwILt27eK7774jKSmJ8uXLM2zYMF599VVjmXLlyrFlyxaWLFnCwYMH2bBhAy4uLtSsWZO33nrL7LjNbUcC9OnTB7Vazffff09kZCT+/v68//77uLu7m3Utc9qiZcqUMbb1FyxYgJOTE7169aJFixaMGjUqUz3p9XpWrFjBvHnz8Pb25uuvv+bLL780+/4fZM57+CgTJ07E1dWVtWvXMmfOHJydnRkwYABvvvlmpgRfXtvJQhR3KqWwZ28XQghR5IYNG0Z0dDS7d+8u6lAKxKJFi1i8eDEnTpzI0eIrQgghhDDP1KlT2b9/P//8809Rh1LqBQUF0aFDB95+++1MCbknRfv27alVqxbLli0r6lCEeCLInIFCCCGEEEIIIYQQQpQSMkxYCCFKiMTEROOKgNlxdXXNcsGOJ4W5dSCEEEIIUdxFRUVlWlDtQRlTCz3JpA6EKBqSDBRCiBJi5cqVLF68+JFlfv75ZypVqlRIERU+c+tACCGEEKK469evH8HBwdnuz8nCdyWV1IEQRUPmDBRCiBLi7t273L1795FlGjdu/MhVqUs6qQMhhBBCPClOnz5NampqtvudnJzw8/MrxIgKn9SBEEVDkoFCCCGEEEIIIYQQQpQSsoCIEEIIIYQQQgghhBClhMwZCPzzzz8oioJGoynqUIQQQgghzKLT6VCpVDRs2LCoQ3liSRtRCCGEECWJue1D6RkIKIpCaRstrSgKWq221N33g6QOpA5A6iCD1IPUAUgdQN7rQFEgPDqZ8OhkCroaS2P7pbBJHQshhBCiJDG37SI9A8H4tLdevXpFHEnhSUpK4tKlS9SsWRM7O7uiDqdISB1IHYDUQQaph/Q6uHLlitSB1EGe6iBFm8biT38BYOFbjbCxKrim1rlz5wrs3CJdaWwjCiGEEKLkMrd9KMlAIYQQxU6qNg2tzoChEHvkpKTo0OotiE/SoTNkv6rdk0zqIO91kKpLo3xZewDiElNJ1erzLTYrjRprjSVqtSrfzimEEEIIIUofSQYKIYQoVmITUklK0WEo5JF5yclaYuKTiE/SkqZYFO7Fiwmpg/ypg7F9/QHQpSno0nT5FpsqBawt03BxssFCEoJCCCGEECKXZM5AIYQQxYYuzUBSSlqhJwKFKAkUBVJ1epJT8y/BKIQQQgghSh9JBgohhCg2tGl6maxfiEdQSE+aCyGEEEKUBIGBgUUdgsiCJAOFEEIUG4qiIKnAonc24G96dmlX1GFk6f69ENq3bkxCfHxRh5IlnU7P0m1nWbrtLDpd/s0X+CCD5AKFEEIIUQKsWbMGb29v1qxZU9ShiIfInIFCiGJDURT0ej1paWmFds3U1FTj/2p16X0+ktN60Gg0WFiUzjnliotJE8YQcOY087/4isZNmxu3b1y/mm+++pK+/Qcz4fW3ijDC0smgKNwKjjF+XTAkZS6EEEKI4m3NmjWMHDkSg8HAyJEjARg2bFjRBiWMJBkohChyiqIQExNDeHg4en3B9KTJjsFgwNLSkpCQkFKdDMxNPbi4uFC+fHlUKlnIoKhU9qrCvj07TZKB+/fsxKtK1VyfU6/P32S8Pi0NC8uS2dxIS9Nhaakp6jCEKDV69uyZaduuXbuKIBIhCs7p06eZMWOG8fWMGTNo3Lhx0QUkRAF4MBEISEKwGCqZrXMhxBPl/v37xMTE4OTkhJOTE5aWloWWYNLr9aSmpmJtbV2qe7rlpB4URSEpKYmwsDAAKlSoUBghiiw806Ez23/YSEJCPA4Ojly6cA6AOr5+JuU+nvUe/5w+RXJyMp6VKjNuwhs0bNQUgH17drJ18wZatWnHzh+3UqVqdQa9MNzk+GNHf2XBZ3OZPnMO9eo35PCh/axfs5LQ0PtUquTF+Nffwq9efSC9x2Jt37pcv3aFC+cCeG/GHFq2bmtyvrQ0Hd99u5SfD+wlVZtKw0ZNeW3SFFzKlAGgfevGvPHWO/y4dTNhofep37Ax77w/CwcHR5Pz3Lh2lddeHcUPO/Zja2cHQHh4GEMH9GLdll2UK+eWqc5+++UQy5cuIjYmmnbtOxEVGYG3jy8jR43lzN9/8f47/6Nbr758+P5kXMuW4+tv13Bw/x7WrV5BZGQE1arVYMIbk/H2qQPA4H49GP/a/2jd9hkAjv/+GwG75lC/53Tj/u49n+PIbz8TEhSEr1893n53BuXKuaEoCsu/XsT+fbtJTUnB1bUsr0ycRItWbTPFLcSTLqtEYMZ2SQiKJ0VWn/OMxKB8zsWT4uFEYAZJCBYvpbcbjBCiWNDr9cTGxuLm5oanpyeOjo7Y2tpiY2NTaP+sra0L9XrF9Z+59WBra0vZsmVxd3cnJiam0Htziv84ODrStHkLDh/aD8Den3bSuVuvTOUaNm7Gd+t+4Mc9P/NMx87MfG8KSUmJxv23bt3AwsKCVeu2MuzFMSbH7t65jcVffsq8z5dQr35D/jjxO0uXLODtd2ewY88vDB72Iu9NmURsbIzxmP17dvHSy6/y08Hfady0WaZ41q/5jj+OH+XLr1awfvMuVCoVH82aZlLm18MH+WzhUjZu/Ynw8FB+2LQ+03lq1PKmslcVfvv1kHHbwX27adSkWZaJwLt3bjPnw+m8NmkKP/50mNp16nLq5AmTMsnJSYQE3WXpyvV8sfgbAs78zYJP5zBp8jS27z5E22c6MvV/E0lIMH/Owj27f+S9Dz7ih537cXUty8ez3gPgr1N/8POhfSxbuY7dB44wf8FXVKpcBYDQ+/fo2aUdoffvmX0dIUqq7BKB5u4XoiR4+HPcsGHDR+4XoiTKLhGYISMhKHMIFj1JBgohipROp0NRFOzt7Ys6FJFDdv/2xNLpdEUcSenWpXsv9v20k9TUFI789jPPdu6WqUzX7r1wcHDE0lLDoCHDMRgM3Lx+zbjfwd6BF4aPQqPRYGVlbdy+ZtVytm5ez5dLvqVa9RoA7Ni2mYGDh+HtUwe1Wk3bdu2pXKUqJ08cMx7XvlMX6vj6oVKpsLa2yRTPwf17GDpiNB7lK2BrZ8crE9/k9KmTRESEG8sMGjKCMmVccXB0pG27Dly9cinL++/aozf79+w2vt6/dzddskiIAvx6+ACNmjSl2VMtsbC0pEevvsbkWwaDwUDP5/r/m/y25eD+n+jYuSv1GzTC0lJDvwFDcHB04uTx37O8RlZ69emHV5Vq2NjYMubV1znz91+Eh4ViaWmJVptK4K0bpKXp8Chfgcpe6fF4lK/Arn2/4VFeet6KJ5u5CRBJlIiS7PTp08avZ86cyccff0yHDh34+OOPmTlzZpblhChpHpcIzCAJweJBhgkLIYoFmXeu5JH3rHho1LgZn0bOYs2qb/Gt649r2XIm+w0GA98t/5pffzlIdFQUKrWKpMREk5585dzcMs0VqU1NZcvGdYx55TXcPcobt9+/d48V3yxh1cplxm36tDQiwsOMrz0eKP/i0P6Ehqb3bntz8rt0fLYb4WFhlH8gyVWunBsaKyvCw0KNPfpcy5Y17rextSU5KSnL++/QsQvLlizgXkgwUVGRxMbG0LJ11ishR0SE4+buYbLtwVgBbO3ssLP77+FERFgY9RuazuVUoUJFwh+438d5MKHn6loWjZUVEeFhNGzUlJEvjeW75V9z5/YtGjVpzrjxb1ChoqfZ5xZCCFH8PThH4OLFiwkP/+/hl5ubm0k5GS4sSiJzE4EZZMhw0ZNkoBBCCFGCqdVqnu3ag3WrV/LB7HmZ9v98cB8/H9rHJ58tplJlL1QqFb26PI3ywEq3KlXmgQJW1tZ8uuBrpr41ETt7e9p37AyAu7sHz/UbSK8+/bKNSfVAYvG7tVsy7Xdzd+f+/XvUqVsPgKjICHRabaZEnTkcHB1p3fYZ9u/dTVRkBB07dUWjyXrRj3Ll3Lh08bzJttDQ+9R+YI5F9UN1Uc7dnfv3Q0y23b8fgpubOwC2tnakpqQY90VFRqBSqdBo/pt788GhvtHRUei0Wsr9e3zvvgPo3XcACQnxLPh0DosWzOfjeQtyUANCCCFKktjY2Ee+FqKkCQwMZNSoUWYnAjMYDAZGjRpFmzZtqFq1asEEJ7Ilw4RFkXnwD9GiPIcoPYKCgvDx8WHbtm3GbYsXL6ZRo0ZFGJUQeddv4AvM+3wJLVu1ybQvKTEBS0sNzi4u6HQ6Vn/3DUnJWfeye5h37Tp88vlilnz5KYcO7AHSk1eb1q/m6uVLKIpCSkoyp0+dJDws1Ox4Oz7bjXWrVxIWep/kpCS+WvQ5jZs0z3KeP3N07dGb/Xt38cvhA3Tt3jvbcu3ad+L0X39y6s8T6NPS2Lt7B0F3bz/y3J2e7cbPB/Zx/uwZ9GlpbPthI3FxsTRv0RqAWt61+fnQfrSpqYQEB/HTzq24OFoze1wrrK3Sn7nu2rGVO3cCSU1N4ZuvF+LfoBFu7h5cvnSB8+cC0Ol0WFvbYGNrW6oXMhLi4R7K5q5uL0RJUr9+febPn8/mzZuZP38+9evXL+qQhMiTqlWrsmLFihz/zFar1axYsUISgUVEegaKIqNSqTh+NoTYhNRcHe/sYE1L/4r5HJUQsHTpUmrWrEnHjh2LOhQhzOLk5Ezjps2z3Pds156c/utPBj/fAzt7e54fMMTYq80ctbxrM++Lr3j7zfHo9Xo6d+2JVpvKp/M+5F5IMFYaK3zq1OX1N6eYfc4hw14kJSWZCeNeRKtNpUHDJrwz/UOzj39Yg4ZNUKvVVKjoSY1a3tmW8/KqytRpM1nw6RziYmNo174TDRs3xcoq656EAPUbNmbipMnMnzuLqMgIqlavydxPF+HgmL6y8Usvv8LHs97juR4dqVqtOs926c6O7aa9Ibt2783sGe8SEhREnbp+TJs+G4CkxES+XvwFIcFBWFpa4utXjzf+9w6Q3pvwxWH9+W7NFpk3UJQaWa08KcST4IUXXmDdunUA9OjRg9q1awNQu3ZtevTowalTp4zlhCiJMob6mjtUWK1Ws2rVKhkiXIRUinSt4ty5cwDUq1eviCMpPElJSVy6dIk6deoYFwEoCnuP3yI6PnfJwDKO1nRtWS3X1y4udVCUikMdpKSkcOvWLapVq4aNTeaFBvJTUFAQHTp0YM6cOfTt2xeA1NRUEhMTcXZ2NvbIadiwIZ07d2bu3LkFGk9xotfrSUlJwcbGxuyeSQXx3iUka4lN0ObLuXIqOTmZGzduUKNGDWxtbYskhqJWkuvgzdfG0qZde557fmCOjhs+uC/DXxxNx2fTF17J7zoY3K8H41/7H63bPpPnc2WwsbKgrLNtiWy/3Lhxg9mzZ/PPP/9gb29P7969eeONN7CysnrkcevWrePIkSMEBAQQHR3Nl19+SZcuXUzKHD9+nC1bthAQEEBkZCSenp707duXESNGZDt0/HFKYh2XNP369SM19fFtQWtra3744YdCiEiI/LdmzRo2b95sss3Pz4/z502nrhgwYIAkR0SJZs7cgZIILFjmtl2k770QolSztLTE2tr68QVLmOTk5KIOQYhCc+H8Wa5evkSnLFZSftjx34+QlJSIVqtl84Y1REVG0LR5y3yLJS1Nz8pd51m56zxpafp8O++TIDY2lhEjRqDT6Vi0aBGTJk1i8+bNZj142bFjB9HR0bRrl/XiMAAbN24kMTGR1157jW+++YY+ffqwaNEipk+fnp+3IfKZi4tLvpYTojjKatG1hxOB2ZUToiQZNmwYq1atynbIsCQCi49imQzcvn07ffr0oV69ejRv3pzRo0eT8sDk3IcPH6ZXr17Uq1ePzp07s3Xr1iKMVghR0BISEvjoo49o3749fn5+tGjRghdffJELFy4A6b90evTowfnz5xk0aBD+/v60b9+eDRs2PPbcD88Z6OPjQ1JSEtu3b8fHxwcfHx+mTp1qdqw//fQTffv2pWHDhjRq1IiePXvy/fffm5S5e/cur732Gs2aNaN+/foMGDCAX3/91aTMtm3b8PHxISgoyGT7yZMn8fHx4eTJk8ZtD97/Cy+8QP369fn888+B9J6PixYtonPnztSrV4/WrVszYcIE7ty5YzzeYDCwevVq+vXrR4MGDWjZsiXTp0+XCa1FiTDlzQlMfWsi419/CwcHx8eWP/XnCQY/34Pnunfg8KH9zJ77Oc7OLvkWj96gcCUwiiuBUegNpX7whYmMZN3ixYtp06YN/fr1Y/LkyWzcuJHQ0EfPOblx40Y2b97MxIkTsy0zY8YMYxKwefPmjBkzhldeeYXt27cTFRWV37cj8knZB1YOz49yQhRHfn7pC1X5+vpmekAxffp06tSpY1JOiJIsu4SgJAKLl2I3Z+DXX3/N8uXLGTduHA0aNCA6OpoTJ06g16c/Xf/rr7+YMGEC/fr149133+WPP/5g2rRp2NvbZxouIoR4MnzwwQfs37+foUOHUqNGDWJiYjh9+jQ3btygbt26QHqPkzFjxtC1a1e6d+/O3r17mTFjBhqNhn79sl/19GHz5s3jvffew9/fnwEDBgDg5eVl1rHHjh3jzTffpEWLFrz11lsA3Lx5k7///psRI0YAEBERwaBBg0hOTmbYsGGUKVOG7du388orr7Bw4UI6deqUk6oxiomJ4eWXX6Z79+706tWLsmXLotfrGTt2LCdOnKB79+4MHz6cxMREjh07xtWrV433NX36dLZv307Pnj0ZNmwYISEhrFu3josXL7Jhw4ZcD68TojB88vniHJV//c0pOZrfMK82/LC70K5V3B05coQWLVqY9PDq2rUrH3zwAceOHTNO35AVcyYld3V1zbStTp06KIpCeHh4lvtF0QsLC8vXckIUR/Xq1cPZ2ZmLFy+yd+9e5s+fj5eXF3fu3GHz5s1cunQJFxcXmZJAPDEenkNQEoHFT7FKBt68eZPFixfz1VdfmQwD6dy5s/Hrr7/+Gn9/f2bNmgXAU089xd27d1m4cKEkA4V4Qv32228MGDDApIfeyy+/bFImLCyMqVOn8uKLLwIwcOBABgwYwOeff07v3r3NTmj17t2bGTNmULlyZXr3zn5V0qz8+uuvODg4sGLFimzn3fvmm2+IiIhg3bp1NGnSBID+/fvTq1cv5syZQ4cOHXK1emJ4eDgzZ85k0KBBxm1bt27lxIkTvPPOO4wcOdK4fcyYMcaVuP/66y+2bNnCvHnz6Nixo3HOwIxe2fv27aNnz545jkcIIR528+ZNnn/+eZNtTk5OuLm5cfPmzQK55t9//42VlRWVKlUqkPOLvEtMTMzXckIURxYWFrz66qvMmTOHgIAA44IhgHHO1FdeeUVWlBdPlIzE36hRo1ixYoUkAouZYpUM3LZtG5UqVcp2PhitVsvJkyeNPW4ydOvWjd27dxMUFCSNPSGeQE5OTgQEBBAaGoqHh0eWZSwtLRk48L+FA6ysrBg4cCAzZszgwoULNGjQoFDiTE5O5tixY7Rt2zbLMr/99hv+/v7GRCCAvb09AwcO5LPPPuP69et4e2e/Gmp2rKysMvWqOXDgAGXKlGHo0KGZymfMSbNv3z4cHR1p2bIl0dHR2NjYoFarqVu3LnZ2dpw8ebLIk4F5WYBh356dbN28geWrsh4y/vuRX1iy8DPpvZVHkyaMoVXbp+k3YEhRhwLAqhXLWLt6BVZWVixbsY7KXlWKOqQce77Xs8THxdK8RSs+nPN5UYeTL+Li4nBycsq03dnZuUCmJQgMDGT16tUMGjQIe3v7XJ9HURSSkpLyMTLxIHNXDDYYDPI+iBKtQYMGvPnmm6xevZqIiAjjdmdnZ4YNG0aDBg3kMy6eOM8//zxNmjShSpUq8vkuJIqimDX/aLFKBgYEBODt7c1XX33FmjVriI+Px8/Pj3feeYf69etz584ddDod1atXNzmuRo0aQPoTZ0kGCvHkeeutt5g6dSpPP/00devWpV27dvTp04fKlSsby7i7u2daEblq1aoABAcHF0oycMiQIezdu5eXX34ZDw8PWrVqRdeuXU0SgyEhIdSvXz/TsRk/10JCQnKVDPTw8Mi0GuedO3eoVq0alpbZ/6i/ffs28fHxtG7dOsv9kZGROY6ltHpc4rGg/frzAX7YsoEb165QqXKVIoujuGjRsnWmJNrvR35h2VdfEhEeRi3v2rw19X28qmS9Kn3grZt89+1XXL1yibjYWHbu/RUHx//mJNy0fjUH9//E/Xv3sLO355kOzzJ67AQgvfF198xORg//gqjICJxdXOjR6zmGDHvJ5BrHfv+NVd8uJTjoDvb2Dgx78WV69Umf1mDrzgOsWrGMG9ev5GOtlB4JCQlMnDiRSpUqMWnSpDydS6fTcenSpXyKTDwso6e6OeXkfRAl3U8//WSSCIT00R0//fRTlg9LhHhSyM/vwvXw34VZKVbJwPDwcM6fP8/Vq1f54IMPsLW1ZenSpbz00kscOHDA+NT44R+UGa/z8lS5tD31zVhptKhWHFWpVNja2pKWlkZCYgp3wxJI0epxcbDC1ckGO5vHfzTT0tK70ScnJ5vdkHxQUddBcVAc6iA1NRWDwYBerzfODfqwzp0706hRIw4dOsSxY8dYsWIFy5cv58svv6Rt27YoioKiKJmOz+htkHH+h18/6MHjszvf47i4uLB161aOHTvG0aNHOXr0KNu2baN3797MmTMny2tlF2vGZ/rhWHU6XabtiqJgbW2dbbyPug+DwUDZsmX55JNP0Ol0mYZTu7q6PvK8BoOB5ORks3t2PE5qip6U5BQe/I5WFAWtVpurz6lWqzPGmPV+LYqikJycTGpK6r8xpOYm9Mdeq6BZ2djQq8/zBAcF8fuRX3IVR27rwGDQo9Ppis3P07Q0HXq96XsRdPcOH816j6nTZtKgURM2rV/DtCmT+PrbNVhY/Pc7J+PeDXoDLVs/TfeezzHz/SkkpyRj8UBiPTU1lYmTplC9Ri1ioqP48IN3WLFsCYOHv4wCqCwseXvah1SrVpWQ4CCmv/s/bGzt6No9ffqBv079wcLPP+Gtqe9T168+SUmJxERHm8Sc1X0AqAyWJGkUs5/8FhdOTk7Ex8dn2h4bG4uzs3O+XUer1TJ+/HhiY2PZtGlTpgdFOaXRaKhZs2Y+RSce5uTklCk5kl25jEUWhCiJ5s+fz5UrV7C0tKR79+60b9+ew4cP89NPP3HlyhV2797N5MmTizpMIUQJd/36dbPKFatkYEZC7ssvv6R27doA1K9fn/bt27N27dpse67kh9L61DcwMLBIrmtra0vZ8lX56dgNQiJTeTiXV9bREp9KNmgssv8jR2VwAODWrVt5+gO0qOqgOCnqOrC0tCQ19dHJB0dHR5577jmee+45oqKiGDJkCEuXLqVZs2YYDAbCw8OJjo7G1tbWeEzGD8Jy5cqRkpJivIZOpzOuUJ6WlgZgcn2VSoVerzdZxTwnWrRoYVxEZM6cOWzdupUXX3wRLy8vKlSowM2bNzOd+9q1a0D6aokpKSnG+4iIiDBZQfH27dtA+h+7GecwGAwoipLpnBUrVuT8+fPEx8dnO2dihQoVOHHiBL6+vtjY2GRZJrt6SE1NJS0tLd/m+lKpVBiwJDo+GcMDq7Cm6dI4G3CGNd+v4H5IMJW8qjD8xbGUcU2vl/CwULZsXM2dwFvY2tnR9plOPNOh87/7wtBqtdy4cQOA6Ogo1q/+lsBbN3Bz96BBw6ak6dKM++PiYpn1zWKuXb2MlUZD0+at6NrzOSwsLDh5/Ci/Hj7AlPc+NMb2yez3ebr9s1Ss5MXiBfPR69N4rkcHAN79YA6uro9e/fLalUt8u3QhvZ8fyL6fdqDVptKiZTt6Pz/wkcdlxcnZFSdnV+7euWtyz+b45dA+zp87w8RJ6fNyBgUH8fdfJ9mzazvvzZzL3Tu32bppDffvhaBSq/Gp7Uv/QcOxd0j/OZycnEJERAQ3btx4ZD01b9kGgCuXLrDrxy2Eh4Xi7OJCzz79qVc/fVXvyxfP8+PWDURGRGBlZYV/w8YMHDIyR3URFRVNYmKiSR38tHMrNWv5UNatPHfvBtG8ZRt2bN/Mgf378PbJnGBQVCpqetchMiIcSP9dY2f331DTRk1bAP99T9Zv2ITTf52keZsOpKWl4VHnWdIMivHnq69ffU6eOIZ37fSVIlcsW0LHzt2xd3A2+Rn8YMxZ3QeAo70NdlbpCXlznvwWF9WrV8/08yI+Pp7w8PBMoz5yy2Aw8NZbb3HhwgXWrVtHhQoV8nxOlUqV54SiyF5OegbK+yBKquTkZP766y8sLS3ZtGmT8Wd39erVGT58OAMHDuSvv/4ydpgQQojcMvdBcbFKBjo5OeHi4mJMBEJ6TxtfX1+uX79O9+7dATI9VY6LiwPI01Pl0vbUNzk5mcDAQKpWrVokv3BCIpKYsvgokbHpCZgyjlY4O1gTE59KbKKWyPg0Am6l8JSfB2UcrbM8Rxmn9MRFtWrVct0zsCjroDgoDnWQmppKSEgI1tbWWSaj9Ho9SUlJOD4wPK9ixYp4eHiQlpZmnOMuLS2NHTt2GBfK0Gq1bNu2DVdXVxo2bIhGo8HaOv2zpNFojNfKGEJrbW1t/MFpa2tLYmJitsmx7MTExJiskgng6+vL1q1bUalU2NjY0K5dO1avXs3ly5eNQ5eTkpLYvn07np6e+Pr6olarjX8Ynz171jisWK/X8+OPPwLpXb8z4lOr1cbzP6hLly78/vvvbNu2zbiacYaMHkU9evRgy5YtfPfdd7zyyism9ZCWlkZSUtIjh61YWlri5eVlrNu8Sk7RUybBtGegpcaSs2dOM33mHFzLluWjGdM48stB3nx7Gnp9GvM+ep/mLVozZ/6XBAfdZfo7/6NmzZo83f5Zbl6/gpWVlXE6ibff/JxKlSrz8bwvCQ8L5YNpb2GpsaRGjRqkpqQy9YtP8Chfge/XbyU+Lo4Ppr1F+QoVGDhkeKZzQfr74ObuztPPtEenTWHHts0sXrbKuD8s7D4Txoxk8TercHcvn+l+ExNiSU1NISU5ie/WbuH+vXu8MWE0HTt3wb9+I+Px2fH182fG7Hkm27KK83FcXQez68ct2FhZkaLVUsmzEmu+W0bnrj2oUaMGKgyMm/AGPrXrEh8fx5wP3+fXn/fx2r+r8tra2lCuXDlq1KjxyHqqUaMGt25eZ9WKr5g2/SPq1W/IpYvnmDHtbb5YvJxKlb2Y8e6bvDj6Fdp36kJKcjI3b143nmv8mBGEh4Vmex+bf9z37/2UISY60iSGmOgo/OrVN9lWtWoNtClJJttSU1IJCg6ikmclrG2scbBPTz5Uq1YNB4f/fg49bOPaIOr4+lHbuyYfeZu2JxRFIehOIG2f6UCNGjVISU7m7p1AWqmeZu6H00hKSqKunz/jxr+Ba9lyD7wvme8DwM7aEhdHa7Of/BYXbdu2ZenSpSZzB+7btw+1Wk2rVq3y5RozZ87kl19+YcWKFfj4+OTLOUXBMveBbnHpeSxEbqxatQqAPn36ZHqIY2VlRe/evdm6dSurVq3ilVdeKYIIhRClTbFKBtasWZM7d+5kuS81NRUvLy80Gg03b96kTZs2xn0ZT5nz8lS5tD71tbW1LfT7vhUSy4wVp4hN0FLG0Zqn/Crg8kDCLyouhd8DQkhM1vHL3yG0b1wJtzKZY8xI4uQ1iVUUdVDcFGUdqNVq1Go1FhYWWa6glpiYyDPPPEPnzp2pXbs2dnZ2HD9+nHPnzjF16lQsLCxQqVS4u7uzYsUK7t27R9WqVdmzZw+XL1/mww8/NEmaZfz/8LVUKpVxm5+fH3/88QerV6/G3d2dSpUqZTnP38OmT59ObGwsTz31FB4eHoSEhLB27Vrq1KmDt7c3arWasWPHsmfPHsaOHcuwYcNwdnbmxx9/JCgoiEWLFhl78NWuXZsGDRqwYMEC4uPjcXZ2Zs+ePcYhuw/eg0qlMok/Q9++fdm5cyeffPIJ58+fp3HjxiQnJ3PixAkGDx5Mx44deeqppxg4cCDLly/n4sWLtGnTBisrKwIDA9m3bx/Tpk3LdqV2CwsL1Go1tra2OU6cZseg0mKjN32apVKp6PP8AKpVT0+IPNu1OxvWrsLW1pbzZ88QHRXJmFdeQ6PR4OzswnP9BnH40H66du+NlZXGGGNY6H0unAtg1sefUqZMGcqUKUOvPv3Y+eMP2NraEhERztUrF5n+4VxcXcvi6lqWYSNG8/3Kbxg5aqzJuTKo1WqsrDTY2tpmub9KlWrs2v9btvdrbWWNoiiMeWUiNja2ODu74OdXn9u3btL8qVaPPT4rWcXxOLa2njRq0pxjx36lcdOWJCcncebvU7w5+V1sbW2p6+dvLOvo6MjAwcNY9tWXxmuo1RZoNNnXw4P1dHDfT3Tp1ounWqb39m/S9ClatGrDH8ePMGzky1hqNISHh5KakkIZV1cauzYznmflms1m3Y+lpQYLC9MYtNpUXFzKmGxzcnZCp9NlWVfWNtYmn21bG9ts63T3zm1cunieb1auy7LMimVL0Om0PN9/CLa2tiTEx6EoCidP/M6nXy7F2cmZLz79mM/nf8RnXy595H0AWFtZYGdnW6KGCAMMGjSINWvWMH78eMaOHUtoaCjz5s1j0KBBJotDjRgxgpCQEA4ePGjcdu7cOYKDg4mKigLS55mG9KkMmjVL/4wsXbqUjRs3MmrUKKysrDhz5ozx+Jo1a+Lwb09WUbxk9NDPr3JCFEchISEAPPvss1nu79ixI1u3bjWWE0KIglaskoHPPPMM27Zt49KlS8Y5QaKjo7lw4QIjR47EysqK5s2bs3//fpNeLnv27KFGjRqyeEgJEB2fwntLjxOXqKW6pzPtGnqSojWdj8zVyYYuT1Xh2NkQ7kcmcezsPTo/VQVb62L1cRWFxMbGhsGDB3Ps2DEOHDiAoih4eXnxwQcfMGTIfyuXOjs7M3fuXGbPns3mzZspV64c06dPZ8CAATm+5tSpU5k+fToLFiwgJSWF5557zqxkYK9evdi8eTPr168nLi4ONzc3unbtysSJE42JyHLlyrFx40bmz5/P2rVrSU1NxcfHh6VLl/L000+bnO/TTz9l+vTpfPPNNzg5OdGvXz+aN2/Oiy++aNZ9WFhYsHz5cr7++mt2797NgQMHcHFxoVGjRiY9ZmbNmoWvry8bN25kwYIFWFhY4OnpSa9evWjUqJH5FVeAHhxua2Nja5zjNTw8jLLl3EyGQVeo6MmhA3synSMyIhwrK2vKlHE1bvMo/98QwojwMDQajcn+ChUrER6efU+0/GBnb4+NzX/JHhtbmyKZw/bZLt1Z/d03NG7akt9+OUhdP39j/QQH3eXrxV9w5dKF9DkiFQOWFrn7mXz/fgj/nP6LfXt2Grfp9Xrs/l3tddbHn7Ju9UpGDOmLR/kKDBk6kqc7ZP3HU07Y2tqRmJhgsi0xISHPD0IOHdjDd8u/Zt4XX1G2nFum/evXfMfhn/ezYPFyY1LP1jb9mn37D6L8v3U8YtRYhg96juTk5Ce2t7qzszPff/89H374IePHj8fe3p5+/fplWuAjq3ld161bx/bt242vV65cCUCzZs1Ys2YNAMeOHQNgxYoVrFixwuT41atX07x583y/J5F3NjY2aLVas8oJUVJVrFiRM2fOcODAAYYOHcrFixeJiorC1dUVX19fDh06ZCwnhBCFoVhlVzp27Ei9evV47bXXmDRpEtbW1nzzzTdYWVkZ/+h/5ZVXGD58ODNmzKBr166cPHmS3bt388UXXxRx9MIcS7edJS5RS9UKTnz0SiuO/hOUKRkIYKWxoHV9Tw6cvE1copZjZ0No37gyanXJ6gUh8s7Kyoq3337brLJ+fn5s3Lgx2/2VKlXiyhXTlTknTJjA6NGjTbZVr16dtWvX5jjWzp0707lz58eWq1y5MgsXLjSr3HfffZdp+8P3kPGHcFZsbGyYNGnSY1fT7N+/Pz179sTGxibLHprFlZubO5ER4aSl6bC0TE8I3r8XQjk390xly5ZzQ6tNJTo6ypjwCwu9b9xfzs0dnU5HdHQUtrae6ee6H4KbW3qPJVtbO1Ifmj8xKuq/1ZbVKnX+3hwQev8eLw7rn+1+f/+GzP1sUb5cq1Wbdnw+7yPu3L7F4UP7ee6BeQu/mP8xlSp7MXXtDzg4OvL7kV/45OMZWZ7ncfXk7l6evv0HMeaV17I83tunDjM/mo/BYOD3o78ya/pU/Bs2xtW1LC8O7U9o6L1s72HPwd+z3Ve9Rk2uX7tqfJ2WpuN24C2q1cj9FCGHDuxhycLPmPf5EmrUrPXvefVsPPjvdcJO8NOubXyxeDlu7v/1fHNwdMTdI/OwcYBMk+g+YWrUqGEcLpedrH6mzZ07l7lz5+b4OCGEKA5GjhzJnj172LZtG0eOHCEsLMy4z93d3biITsZ0N0IIUdCKVTJQrVbzzTffMGfOHKZPn45Op6NJkyasW7cON7f0p+1NmjRh0aJFLFiwgB9++IGKFSsye/ZsunbtWsTRi8c5FhDC8bP3sFCrmDS4EQ62WS9okEFjqaZNA0/2/3Gb8Ohkzl6PoIF35l4XQojSq7ZvXcqUKct33y5lxEtjCQ66w/atmxj7auZEk7tHefzq1Wf514t4/X9TCA29z64dW437y5Vzo5ZPHVYsW8JbU98nLjaGdatX8GzXHgDUrOVDyL1gzgb8Q9269diyaR1xsTHG48u4uhIVGUFqagrW1vnTg8WjfIVHJrgepNfr0aelkZaWlr4Cc2oqqFTGuYlWrVhGwD+n+WLxN1keb21tQ6u2T7N7x1bu3gmkXfuOxn2JSYnY2dljZ29PWOh9Nm3IPunyuHrq0bsvU/83kabNW+BfvxF6vZ5rVy/j4OBIRc9K/PLzAVq0bIOjk5NxWGdGgvq7tVvMqousdOzcjR82reOPE7/TqHEz1q/5DmdnF+rXz7r3a0YdanXpPZa0Oi3a1FQ0VlaoVCp+PriPxQs+5ZPPF1PL+7+5jvUGhXPXw7l36WdS759iweLlxt5/D+rRqy/bf9hE0+YtcXJyYs13y2nUuBm2pXzaClH66HS6fC0nRHFka2tLrVq1uHbtGuHh4Tz99NP07t2bHTt28Ntvv6EoCrVq1Xpie4YLIYqfYpUMhPS5X+bPn//IMh06dKBDhw6FFJHID7EJqXy9LX1+n37ta1Hd07zFXpzsrXjKrzy/B4Rw+XYU1So64eyQPwsVCGEuvV5vnKcqO3Z2dtjb2z+yjMh/lpYaPpq3gIVffEK/Xs/i6OhE/4Ev0KFT1g+Ipn3wEZ/O/ZC+PTpRqbIXXbv35qdd/w09HPHSOPbu3s7gft2xtrahQ6cuDHphOACelSoz9pXXmPne2xgUA337DaJqtf8WdmjYuCl16tZjQJ+uGBQD365K76X64rD+fLdmi8mQ5IJwcP9PzPt4pvF1lw4t8ShfgQ0/7AbSe0H61Xv0cPcOHbsw9a2JtHumo8nKua9OmMTn8z/mx+2bqVTZi07PdiPwVtarFT+unmp512bajI9Yufxr7gTeQqVWUbOmD+MmvAHA4YP7+GrhZ+h0Otw9yvPe9Nk4O7vkslb+4+VVlXfe/5AlX35KeFgYtXxqM/uTz7H4d/7ZswH/MPWtiWzdmT5PXVjofV56oFdmv17pQ5XXb9lF+QoVWfHNEhITE5g0cYyxjIdHBZau3ABA0NndWFpaMmrEfz0sH+zJOXjoSOLjYnl55CAAGjRswjvvz8rzfQpR0pjbG70k9VoX4mF6vZ7Y2FhcXFyIiYnh119/5ddffzXud3FxIS4uDr1eL591IUShUCm5WYb1CXPu3DkA6tWrV8SRFJ6kpCTj3IyFsXDEVz8EsPdEIJU9HPnyzXZoLNN/ye09fovo+NTHHn/0TDBBYQmUL2vH040qoVKpKONoTdeW1XIdU2HXQXFUHOogJSWFW7duUa1atVzPBzRs2DCio6PZvXt3jo/V6/WkpKQ8cnhsUFDQYx9ATJgwgYkTJ+b4+sWFOfXwsPx47x6WkKwlNuHxc0cVhOTkZG7cuEGNGjWeyCfzo4YP4PNF3zwysfak1MGaVd+yYe13WFha8vXyNVSq7GX2sXmtg1RtGtOXHQdg1tiWWFvl7rnrgOe6kpAQT/OnWvHBh5+Y7LOxsqCss22pbL8UNqnjgjd+/PhsFxB8kJeXF0uWLCmEiITIf+fOnePdd99l/vz5VKlShVWrVhESEkLFihUZOXIkt2/fZvLkyXz88cfy80YIkSfmtl2KXc9A8eSJiEnm4J/pjbxX+vobE4E50cDbjZDwBO5HJhESkYinm6wIKP5T0PNEubm5ZTl334MqV65coDEIkVcrVpu3Eu+TYNjI0QwbOfrxBYuxzdv3FnUIQhSK+Pj4fC0nRHGUMcKkSpUq2Nra8sorr5js9/LyMiknhBAFTZKBosBt//U6aXoDdauXpV7Ncrk6h6OdFd5VynA5MJp/roRRvqwMxxSFx9rampYtWxZ1GEIIIcQTJzX18SNEclJOiOLI1TV94bLbt29Tu3btTPszesdmlBNCiIImyUBRoGLiU9n3x20ABnT0zrRfFxNGSliEWeeqaadwyxLik3RcvXgd5zruQO6HCQshih9ZL1yIx1Op5DtFPDnUavNWYje3nBDFka+vL+7u7mzZsoVp06aZfJ4NBgNbtmzBw8MDX1/fIoxSCFGayG9VkSvmTjW548gNtDo9tSq70DCrlYANehRtiln/LPWpeLvqAbgarkevkyfEQjxpLC3USJ5DiEfTWEjzTTw5HB0d87WcEMWRhYUFo0aN4tSpU3z00UdcvnyZpKQkLl++zEcffcSpU6d46aWXZPEQIUShkZ6BIldUKhXHz4YQm5B9Qi5Vq2fHkfTVJmtWcmbfiUDjvopuDtSv5QY5fMpbxVnhSqRCkk7FrfCiWWRACFFwrK0ssdZYkKrVU+pXtxIlkpXGglljWxq/zm+WFipsrKX5Jp4cOp0uX8sJUVy1bNmSqVOnsmLFCiZPnmzc7uHhwdSpU2VKGiFEoZLWpMi12ITUR64EfO1ONLo0A072Vjg7WJuUdbK3ytU1LdVQzUXhSqSKs3dTUBRFhksJ8YQp42hDYrIOrU6PvhAXvDdYWWJva421lSUay9LZ80rqIH/qoCCSgCqVCitLNXY2pfe9EU8mrda8h7vmlhOiuDMYDCav9Xp9EUUihCjNJBkoCsyN4FgAalRyzteEXXUXA9ejVEQm6DlzNZyGPu75dm4hRNFTq1U45vKBQV4kJUGUrZqyTtbY2dkV+vWLA6kDqQMhCpv0DBSlxfHjx5kzZ06m7REREcyZM4d33nlHegcKIQqNPFoWBSIqLoXo+FTUKqhWwSlfz21tmT5cGGDrL9fy9dxCiNItLS2tqEMoclIHeasDXZqB5T+eY/mP59ClGR5/gBClnLnzUJtbTojiSK/X8+WXXwKZF4HKeP3ll19KL0EhRKGRZKAoEDf/7RVYyd0Ra6v874Ba09WACgi4FsHd0Ph8P78oXYpihcJDhw6xbt26fD1n+/btmTVrVr6eUwiRM3qDgd8Dgvk9IBi9QZKBQjxO2bJl87WcEMVRQEAASUlJADRu3Jj58+ezefNm5s+fT+PGjQFISkoiICCgKMMUQpQikgwU+S5NbyDwXhwA1T2dC+QadhqoXFYDwL4/AgvkGqJkyW2PAQsLC2xtbXO9eltur3vo0CE2bNiQq2Ozs3jxYl566aV8PacQQghRkGxsbPK1nBDF0eHDhwGoUqUK77//PrVr18bW1pbatWvz/vvvU7lyZZNyQghR0GTOQJHvgsIS0KUZsLexpHzZgptvqU4Fa+5E6jh86i7Du/liXQATtouSw5wVrrOiKAppej2WFhY5ntvS2cGalv4Vc3RMTiiKgk6nw8rKvPnzfH19CywWIYQQoiCEhobmazkhiqPw8HAAOnTogKIonDt3jqioKFxdXfH19aV9+/Z8//33xnJCCFHQJBko8t2tkPQhwtU883fhkId5umpwK2NLeHQyxwJCaN+kcoFdS5QMj1vhOisGg4G0tDQsLS0Lbbjw1KlT2b59OwA+Pj4APPfccwCcP3+eyZMn89lnn3Hz5k0+/fRT2rZty6effsqxY8e4f/8+ZcuWpXXr1kyePBlHR0fjedu3b8/TTz/N9OnTjdc5f/4877//PnPmzCEwMJCaNWsyY8YM/Pz8CuVehRBCiEdJSUnJ13JCFEflypUDYNeuXezatcsk6efm5mYcaZJRTgghCpoMExb5KlWbRmhU+nwYVfN54ZCHqVUqOjevAsC+E4EFei0h8tOrr75Ku3btqFy5Mps2bWLTpk28+uqrAISFhTF79mxGjhzJ8uXLqVOnDikpKej1eiZNmsTy5ct5/fXXOXXqlPGYRwkPD2f27NmMGjWKBQsWkJqayoQJE2RVRiGEEMWCDBMWpUHHjh2B9HaZVqtl/PjxfP/994wfPx6tVktERIRJOSGEKGjSM1Dkq6CwBBQFXBytcbQzb2hjXnRqXoX1B65wKTCK2/fiqFLACUgh8oOXlxeurq6EhITQoEEDk32xsbEsX76c+vXrm2yfOXOm8eu0tDQqVarEkCFDuHXrFtWqVcv2WrGxsaxdu5ZatWoBYGtry/DhwwkICKBJkyb5d1NCCCFELpQvX57r16+bVU6Ikqpu3brGr+Pi4liyZAlLliwB/ltNWKVSmZQTQoiCJD0DRb66G5oAgJeH42NK5g9XJxua101vHB44ebtQrilEQXJxccmUCAT48ccf6dOnDw0bNqRu3boMGTIEgMDAwEeez93d3ZgIBKhZsyYgcy8JIYQoHlJTzZvew9xyQhRHV65cMX798OJzGa8VRTEpJ4QQBUmSgSLfpOr03I9KBKByISUDATo28wLgyD/B6PWGQruuEAUhq7liDh48yJQpU/D392fBggVs3rzZ+DT5cX8cOTmZ9pbVaDRmHSeEyB1rjQWL3mrPorfay8JWQpghLS0tX8sJURxFRUUZv7a0NB2cl9E2e7icEEIUJBkmLPJN8L9DhJ0drHCyL/ghwhka+bjj7GBFTEIq/1wNp0kdj0K7thD5LatFd/bt20edOnWYNWuWcduff/5ZmGEJIcykUqkK9XegECWdg4NDvpYTojhydnYGwNfXl5kzZ7J//37u3btHhQoV6Ny5M9OnT+fSpUvGckIIUdAkGSjyzd3QeKDwhghnsLRQ07ZhJXYdvcnhv+5KMlCUCBqNxuzeeSkpKSZPjSF9NTohhBCipEtOTs7XckIURxkPe+Pi4hg/fjxhYWHGfTt37sTKysqknBBCFDQZJizyhVan535k+hBhr/KFmwwEaN+4MgAnz98jMVlWSRXFX40aNQgODmb37t2cO3eOoKCgbMu2bNmSs2fPsmTJEo4fP86cOXM4ceJEIUYrhDCXLs3A6j0XWb3nIro0mbriYTdu3ODFF1+kQYMGtGrVinnz5qHVah973Lp16xg7dixPPfUUPj4+7Nu3L1OZqKgoZs+eTf/+/fHz86Nhw4YFcQsin8XGxuZrOSGKo5iYGACCgoLQarVMmDCB77//ngkTJqDVao3twIxyQghR0KRnoMgXIRGJGBRwsrfCyd660K9fo5IzlT0cuRsaz7GzITzbvEqhxyCKnrNDzj97iqKQptdjaWGR46exublehn79+nH27Fk+/PBDYmJieO6557ItO2jQIIKCgli7di0rVqygdevWfPbZZwwYMCDX1xdCFAy9wcDPp+4AMKCjNxp57moUGxvLiBEjqFq1KosWLSI0NJS5c+eSkpLC9OnTH3nsjh07AGjXrh0//vhjlmVCQ0PZs2cP/v7++Pn5yUT8Qohiw8XFBYBKlSqRmprK4sWLjfvc3d2pVKkSQUFBxnJCCFHQJBko8sW9iPRegZ5uRTOfi0ql4pnGlVi95xKH/7orycBSSFEUWvpXLJLr5mZIh4ODA59//rlZZS0sLJgyZQpTpkwx2f7wH7qHDx82eT137txM53JycpI/kIUQRWLjxo0kJiayePFi4x+8er2emTNnMnbsWDw8sp/mY+PGjajVaoKCgrJNBvr4+HD8+HEAFi1aJD/rSoiHp8HIazkhiqOMFYOdnJyYPXs2ly9fJioqCldXV2rXrs20adNMygkhREGTx9UizwyKQsi/ycCK5eyLLI6nG1VGpYILNyMJi04qsjhE0cjtHCt6vZ7k5GT0en2hXlcIIUqbI0eO0KJFC5OeL127dsVgMHDs2LFHHqtWP77Jak4ZUfwkJibmazkhiqOMYe4XL15k7ty5aDQamjZtikajYe7cuVy6dMmknBBCFDRpNYk8i4pNQavTo7FUU87FtsjicCtji2+1sgD8fibkseVVKhW2traSzBEYDDKvlxBCFLSbN29SvXp1k21OTk64ublx8+bNIopKFDWdzry5ns0tJ0Rx5OrqCsDw4cO5desWkydPZuDAgUyePJnAwECGDRtmUk4IIQqaDBMWeZbRK7BCWXvU6sJLrNnaWmcaotm2oScXbkZyNCCYvs/UfMzxtvj6+mIwSHd8IYQQoqDFxcXh5OSUabuzs3Ox7g2jKApJSTLioKCY+0DOYDDI+yBKrGrVquHm5sbvv/+eaZ+iKBw7dgx3d3eqVasmn3MhRJ6YO42VJANFnoWEJwBQ0a1whwhbWVmiUqk4fjaE2IRUAJJT0lAB1+/GsPHA5Ucu8JCWloZa0dK9Xd1CilgIIYQQJY1OpzMO4RNFS94HUZLVqlWL48ePY2dnR4sWLShTpgzR0dEEBAQQHh5Oy5YtZa5TIUS+sLKyemwZSQaKPElOTSM6Pj0RV6Fs0cwXGJuQaowBwKOsHfcjkzh3I5K61ctme5xOp0NlSC6MEIUQQohSz8nJifj4+EzbY2NjcXZ2LoKIzKPRaKhZ89GjDUTuqdVqs3oHqtVq6tSpUwgRCZH/DAYDS5YswcPDg/DwcE6cOGHcp1ar8fDw4Pr160ycOFHmPxVC5Mn169fNKifJQJEnGUOEyzrZYGNdPD5OXh6O3I9M4s79+EcmA4UQQoj8ZmVpwaevtTN+Lf5TvXr1THMDxsfHEx4enmkuweJEpVJhZ2dX1GE8scxdPVVRFHkfRIl17tw5wsPDUalUNGnShMaNG2NlZYVWq+X06dP89ddfKIrCrVu3qFevXlGHK4QowcxdE6F4ZG9EiZUxRLhCIQ8RfpRKHo6cuhRKTEIqsQmpjxwqLIQQQuQntVqFW5miW0yrOGvbti1Lly41mTtw3759qNVqWrVqVcTRiaJiYWFBWlqaWeWEKKkiIiIAaNSoEe+9955J77+uXbsya9YsTp8+bSwnhBAFTZKBItcMBoXQqPQJbiuWKz7JQGuNBRXK2hMSkcid+/HUqynJQCGEEKKoDRo0iDVr1jB+/HjGjh1LaGgo8+bNY9CgQXh4eBjLjRgxgpCQEA4ePGjcdu7cOYKDg4mKigIgICAASF95s1mzZsZy+/btA9KHyOj1euPrevXq4enpWeD3KHLOysrKrGSgOfMfCVFcxcXFAdCiRYtMw4DVajVPPfUUp0+fNpYTQoiCJslAkWvhMcno0gxoLNWUcbIp6nBMeJV3JCQikbth8dSrWa6owxFCCFFKpOkN/HD4GgD92tfC0kLmfsrg7OzM999/z4cffsj48eOxt7enX79+TJo0yaScwWBAr9ebbFu3bh3bt283vl65ciUAzZo1Y82aNcbtr7/+uslxGa/nzJlD37598/V+RP5ITU19fKEclBOiOMroDX3ixAk6depkkhA0GAz88ccfJuWEEKKgSTJQ5FpQWPoQYQ9XO9RmjksvLJ5uDqhUEJugJS5Ri5O9PE0WQghR8NL0BvYevwVAn3Y1JBn4kBo1arBq1apHlnkwuZdh7ty5zJ0797Hnl5U4S56HE795LSdEcVSuXHrnhNOnT/PRRx/Rv39/vLy8uHPnDlu2bOH06dMm5YQQoqAVqxbqtm3b8PHxyfTv008/NSm3ZcsWOnfuTL169ejVqxe//PJLEUVcugWFpa8IWN61+E3mbKWxwOPfuDLiFCI7JXXVtpMnT+Lj48O5c+eKOhQhhBBCCJENX19f3N3dqVmzJrdu3WLy5MkMHDiQyZMnExgYSM2aNfHw8MDX17eoQxVClBLFsmfgt99+i6Ojo/H1g/PI/PTTT7z//vuMGzeOp556ij179jBhwgTWrVtHgwYNiiDa0ilFm8a9yPT5Aj3KFp/5Ah9U2T19VeGg0AR8q8mqwk86RVHMXjnpQRYWFtja5n6y/9xeVwghhBBClA4WFhaMGjWKuXPn0qRJE55//vlMqwlPnTpVFsoRQhSaYpkMrFu3Lq6urlnuW7hwId27d+eNN94A4KmnnuLq1assWbKE5cuXF2KUpdulW1EYDAp21pY42mmKOpwsebo7cOpSKJFxKSSm6LC3KZ5xivyhUqlIuPwH+qScTbys/Ds3lYWFBaoc9hC0sHPCofZTOTpGCCGEEEKUPi1btmTq1KmsWLGCU6dOGbd7eHgwdepUWrZsWYTRCSFKm2KZDMzO3bt3CQwMZPLkySbbu3Xrxrx589BqtbLSWCEJuBYOgEdZu2LbK8rW2hI3F1vCY5IJDkvA26tMUYckCpg+KQ59QnSOjlEMhvRVDC0tc5wMzK1t27bx3nvvceTIEZO5YWJiYmjdujXvvfcePj4+LFu2jPPnz5OQkECVKlV48cUX6dOnT6HEKIQQQggh8lfLli1p3rw5Fy9eJCoqCldXV3x9faVHoBCi0BXLibJ69OhBnTp16NChA8uWLTNOGHzz5k0AqlWrZlK+Ro0a6HQ67t69W+ixllZnMpKBxXC+wAdV8nAA4G6ozBsoio9OnTphYWHBvn37TLYfOHAAgC5duhASEkKjRo346KOP+Prrr3n22Wd57733TFbTFEIIIYQQQgghcqpY9Qx0c3Nj4sSJ1K9fH5VKxeHDh1mwYAGhoaFMnz6d2NhYIPOS6xmvM/bnhqIoJCUl5T74EiY5Odnk/5xISNZxMzi9rss6WaHT6XJ8jowEr6IouV4dzqD8d67sYihfxgaAsOhkEhJTsLb676mbTqcj42VycjKKouQqjpIsL5+D/JKamorh36G6eVkp0MLCAsVgQDEYcnSc8uD/OT323/I5jdvOzo62bduye/duBg8ebNy+e/duWrZsiaOjI126dPnvOopCo0aNuHfvHhs3bqRXr16kh2sw/p/XVRYzPv85+Z7U6/UYDAaSk5ONsZRkxeH7oahJHeS9DlK1euP3U3JSMoa0guvtIXOWiieBWq0263dISV3sS4gHHT9+nBUrVhAWFmbc5u7uzqhRo2SYsBCiUBWrZGCbNm1o06aN8XXr1q2xtrbm+++/Z9y4cQV6bZ1Ox6VLlwr0GsVRYGBgjo+5dj8NRQEnO0sS4qJJyMV13V3SP3parS7XSdg0rRaAxKQkwsMjsi3nYKMmIcXAlVv3qeBqOozcvWx6z8Fbt26V6j9+c/M5yE+Wlpakpqbm+ni1Wo2trS16vT59yG8u6HNz3L9JM61Wm+NkWKdOnZg6dSq3bt2iQoUKhIeHc+rUKWbNmkVKSgpxcXEsXbqUX3/9lfDwcGOCzsXFhZSUFON1M/7P2JZXOXkfUlNTSUtLM/baflIU9fdDcSB1kPs6MCgKL7RLn5bi+vUrqAs4WSfTo4iSrly5ciaJkUeVE6IkO378uHEBkb59+5osIDJ37lyZN1AIUaiKVTIwK127dmXlypVcunQJZ2dnAOLj43FzczOWiYtLXzAgY39uaDQaatasmbdgS5Dk5GQCAwOpWrVqjldS/ePmZQAqezji5pa7efjs7dJXILay0mBnl7uhxpb//gFkb2dn8nl4WJVESy7ciiYuRY3/A+XSexOmJ4CqVatWansG5vZzkF9SU1MJCQnB2toaGxubPJ3LwsICLHP2Y00hPRFoYWlJTv9kz5jfJTd/jHfq1ImZM2dy+PBhRo0axa+//oq1tTVdunTBxsaG//3vf5w5c4ZXXnmFmjVr4uDgwMaNG9m7d6+xnjKua2Vllee6UxSF1NRUrK2tc9TTyNLSEi8vL6ytrfN0/eKgOHw/FDWpg5JVB9evXy/qEITIs4oVK5qVDKxYsWIhRCNEwdDr9axYsYIaNWoQGBhosoCIm5sbNWrUYOXKlTRv3lzmDxRCFIpinwx8UPXq1YH0uQMzvs54rdFoqFy5cq7PrVKpcp2UKslsbW1zfN+Xb6cPEa7k7ohGk7sVejN+yalUqlz/wlOr/jvXo+KoWtGZC7eiCYtORkGNleaB6xnSk4HF/Q++gpabz0F+UavVqNVqLCws8tz4UanVOV8E5N8efap/j8/p9YBcxW1vb0/Hjh3Zu3cvY8aMYe/evTzzzDM4OjqSmprKb7/9xtSpUxkxYoTxmI0bN5p8z2QMmcqov7zI6HmYk+9JCwsLY6/MvCYji5Oi/H4oLqQOSkYdyBBh8SQwtxeu9FgWJdnFixcJCwsjLCyMZs2a8fbbb1OlShVu377Nli1b+PPPP43l6tWrV8TRCiFKg2I/+caePXuwsLDA19eXypUrU7Vq1UyT7u/Zs4cWLVrIUJlCEJeoJfBeek/MCuUcijga8zjZW+Nkb4VBgZCIxKIORwijHj16cPHiRY4ePcqZM2fo3r078N+w4weT3AkJCRw+fLioQhVCmClNb2D7r9fZ/ut10vQlfy5NIQqaudPFlKa5vcWTJyIifUqjxo0bM3XqVHQ6HX/++Sc6nY6pU6fSuHFjk3JCCFHQilXPwFGjRtG8eXN8fHwA+Pnnn9m8eTPDhw83DgOdOHEib731Fl5eXjRv3pw9e/Zw9uxZ1q5dW5ShlxoXbkYCUNnDATsbS1J1eVu0oLBUdnfgwq0ogkLjqVrB6fEHCFEIWrZsiYuLC++++y5OTk60bdsWAEdHR+rVq8fy5ctxdXXF0tKSb775BgcHB6Kiooo4aiHEo6TpDfz4W/rw3a4tq2JpUeyfuz7SL7/8wm+//UZwcDAAnp6etGvXjmeeeaaIIxNPCmtra+McuI8rJ0RJlTGtlbu7O+PGjcu0gEhGMjCjnBBCFLRilQysVq0aW7du5f79+xgMBqpWrcq7777LsGHDjGV69OhBcnIyy5cv55tvvqFatWosXryYhg0bFmHkpcf5m+lPq/yql6xJnCt5OHLhVhQhEYmk6Q0l/o8zkTULu5wnehWDAfR6LCwscjxMODfXe5BGo6Fz585s2rSJfv36mfRu/uyzz5g+fTpTp07FxcWFYcOGkZSUxMqVK/N0TSGEMEdcXBzjx4/nr7/+wsLCwvhQ9sSJE2zatIkmTZqwZMkSnJzkAZvIGzs7O+Lj480qJ0RJlfGzcu/evZmmN4qOjmbv3r0m5YQQoqAVq2Tge++9Z1a5/v37079//wKORmTl/I30noF+NcqSmKwr4mjMV8bRGnsbSxJT0rgfmUgld8eiDknkM0VRcKj9VJFcNy/zds2aNYtZs2Zl2l6lShW+//77TNsnTpxo/Lp58+ZcuXIl19cWQojsfPTRR5w+fZq33nqLwYMHGxMxSUlJrF+/ns8//5yPPvqITz75pIgjFSVdYqJ5U7iYW06I4sjV1dX4tb29PS+88ALNmjXjzz//ZN26dcTExGQqJ4QQBalYJQNF8ZaQrONWSPriIX41ynHy/L0ijsh8KpWKSh6OXLkdzd3QBEkGPoFym5DT6/VotVqsrKxytQiHTOAvhHgSHTp0iCFDhjBq1CiT7XZ2dowePZp79+7x448/Fk1w4omSmpqar+WEKI4yFmqzsbHBysqKJUuWsGTJEgA8PDywsbEhJSXFWE4IIQqaJAOF2S7eikRRoGI5e1ydSt7KoZXcHbhyO5qQ8AQMBqWowxHFiMEgk/wLIcSDLC0tqVatWrb7q1evjqWlNCOFEMIcFy9eBCAlJYV69erRt29frKys0Gq1nD59mlOnThnLNWrUqChDFUKUEtKKE2b7b4hwyZovMEM5F1usNBZodXrCY5JxddQ8/iAhhBCiFOrcuTP79u1j0KBBmXpNp6WlsXfvXrp06VJE0YkniaKY94DW3HJCFEcZn9/Bgwfz888/G5N/kN4zcNCgQWzcuFE+50KIQiPJQGG28zf+XTykRtkijiR31CoVnm723AqJIzgsAVfHMkUdkhBCCFEsXLhwweR1r169mDVrFoMGDWLAgAFUqVIFgNu3b7Np0yZ0Oh09e/YsilCFEKLE8ff3Z/PmzQQEBLB06VIuX75MVFQUrq6u1K5d2zh3vr+/fxFHKoQoLSQZKMySkprGjeD0+QLrVi+ZyUAATzcHboXEERSegF91F2S2NyGEEPlJY2nBB6NbGL8uKZ5//vlMc6Bm9FA5d+6ccd+DvVaGDRvGpUuXCi9I8USysLAgLS3NrHJClFR+fn44OTlx8eJF5syZw4ABA2jatCl37txhzpw5XLx4EWdnZ/z8/Io6VCFEKSHJQGGWa3djMBgUyjnb4F7GrqjDybXyZe1Rq1UkJuuIS9ThUnJv5YkjwyJKHnnPhMjMQq2iuqdzUYeRY3PmzCnqEEQp5ejoaNbiII6OsvibKLksLCwYP348c+bMISAgwGSYsLW1NQCvvvqqJL2FEIVGkoHCLBcD0+cLrF21ZC93r7FUU97VjpCIREIiEnHxKnkLoTxpNBoNKpWKxMREbG1tizockQNJSUlA+nsohCjZnnvuuaIOQZRSLi4uREREmFVOiJKsZcuWvPPOO3z77beEh4cbtzs7OzNq1ChatmxZhNEJIUobSQYKs1wOjAagTrWSnQwE8HR3+DcZmISvJAOLnIWFBc7OzoSHh5OamoqTkxOWlpaZhqsVFL1eb+yRUJqfxuakHhRFISkpibCwMFxcXEp1vQnxsDS9gf1/3Aag81NVsLRQF3FEeZeYmMj9+/cBKF++PPb29kUckXiSREZG5ms5IYqzli1b0rx5cy5evGicM9DX11faUkKIQifJQPFYBoPC5cAoAOqU8J6BkD5v4ClCiY5PJTlVX9ThCNL/uLS1tSUsLIy4uLhCvbbBYCAtLQ1LS0vU6pL/R3tu5aYeXFxcKF++fAFHJkTJkqY3sPnQFQA6NK1copOBZ8+eZf78+fz9998YDAYA1Go1jRs3ZvLkydSrVy/H57xx4wazZ8/mn3/+wd7ent69e/PGG29gZWX1yOPWrVvHkSNHCAgIIDo6mi+//DLL1YxDQ0OZPXs2v//+OxqNhk6dOvHOO+/g4OCQ41hF4YiJicnXckIUdxYWFrn6+SmEEPlJkoHisYLDE0hI1mGlsaBaxf/mQdLFhJES9vhhHVnRO1YDPPMpwpyxtbakrJMNkXEp3It8/Bw1ouCpVCpcXFxwdnZGr9ebNZF4fklOTubmzZt4eXmV6mHKOa0HjUYjT7GFeIIFBAQwbNgwNBoN/fr1o0aNGkB6Mu+nn35i6NChrFmzJkcrX8bGxjJixAiqVq3KokWLCA0NZe7cuaSkpDB9+vRHHrtjxw4A2rVrx48//phlGZ1Ox+jRowH47LPPSElJ4ZNPPuF///sfy5YtMztOUbjMnX9W5qkVTwq9Xi89A4UQRU6SgeKxLt5K7xXo7eVi0sNBSdOiaFNydU7FUHjJnqx4ujsQGZdCSGTu4hcFQ6VSYWlpiaVl4f1oyujtYm1tjY1N6R02LvUghHjQF198gYeHB+vXr8fNzc1k38SJExk8eDBffPEF3333ndnn3LhxI4mJiSxevNg4/5ter2fmzJmMHTsWDw+PRx6rVqsJCgrKNhm4f/9+rl27xp49e6hevToATk5OjBo1irNnz+YocSmEEAXh+PHjrFixgrCwMOM2d3d3mTNQCFHoSu7YFVFonqQhwhk83dKHC4XGpJKcWrSJSSGEEKK4CQgIYODAgZkSgQDlypVjwIABnDlzJkfnPHLkCC1atDBZCKJr164YDAaOHTv2yGPNmb7gyJEj+Pj4GBOBAK1atcLFxYXffvstR7EKIUR+O378OHPnzqVq1arMnz+fzZs3M3/+fKpWrcrcuXM5fvx4UYcohChFJBkoHutSMU0GqlS5707v7GCFg60GgwHOXA17/AFCCCFEKaJWq9Hrs59X12Aw5Hie1Zs3b5ok6iC9556bmxs3b97MVZyPO79KpaJatWr5cn4hhMgtvV7PihUraNq0KZMnT+bKlSt8//33XLlyhcmTJ9O0aVNWrlz5yJ+7QgiRn2SYsHik2IRUgsMTAPCpUrySgajTV5tNi48i5d79HB/uYZdGQjKcvHCfFvUq5nd0QgghRInVsGFD1q1bR48ePfD0NJ3jNyQkhPXr19OoUaMcnTMuLg4nJ6dM252dnYmNjc1TvBnnd3R0zPfzZ6ygLoqevA+ipLpw4QJhYWHUqlWLgQMHGqdnAVi5ciUtWrQgNDSUv//+m7p16xZhpEKIkk5RFFQq1WPLSTJQPNKV29EAVHJ3wMn+0Sv9FRVFr8vV3IXu1gZuYMWpi6HoDQoW6sd/wwghhBClwZtvvskLL7xA165d6dSpE1WrVgXg1q1b/Pzzz1hYWPC///2vaIMsJDqdjkuXLhV1GALkfRAl1oULFwA4duwY9vb2tG/fHm9vb65evcrhw4eNUyVcuHAhx72uhRDiYVZWj8/dSDJQPFJRDRG2UHQ4pMVgpU/CoLJAr9KQaOmETp1/q7262ipYWUBcopbLgVHUrV42384thBCidNJYWjB1eDPj1yWVr68vW7Zs4YsvvuDw4cMkJycDYGtrS5s2bXjjjTeoWbNmjs7p5OREfHx8pu2xsbE4OzvnOWYnJycSEhKyPH+FChVyfV6NRpPjexXmU6lUZq0UrFKpqFOnTiFEJET+02q1ANjb2/PNN98YF8tr1qwZgwYNYsyYMSQmJuLj4yOfcyFEnly/ft2scpIMFI9UmMlAS4OWCik3KJ9yE3t9LFn104u3LEOUpgLBtrXyfD21CjxdLLgVqefkhfuSDBRCCJFnFmoVdaoVs2k1ckir1XL06FE8PT1ZsmQJBoOBqKj09oCrq2uue61Ur14909x98fHxhIeHZ5rrL7fnv3r1qsk2RVG4desWrVq1yvV5VSoVdnZ2eQ1PZMPS0hKdTmdWOXkfREl1/376lEZubm7Y2tpy+fJloqKicHV1pXbt2pQrV47ExETu379PixYtijhaIURJZs4QYZBkoHiENL2Ba3fShwnXLsBkoIWio2riOTyTr2HBf5PmpqptSbZwQK3osVR02OnjcUyLxjEtmsrJl0m8Fkyav+cjzvx4lcqkJwP/vHCPl3rK/BxCCCGERqPh9ddfZ9q0adSuXRu1Wk25cuXyfN62bduydOlSk7kD9+3bh1qtzlOy7sHz79y5k8DAQOOw5hMnThATE0O7du3yfH5RMFxdXQkNDTWrnBAlVcZnPDAwkEGDBhl7CkL6cL6M1+Z8LwghRH6QZKDI1s3gWLRpBhztNHi6ORTINezjb1Mjag+2hkQAEixcCLL1JsLaM9OQYI0hBVftPSqm3MBFF4ZjyF/c/eYizhXaE07mCcnNUcHZAksLFcHhiQSHJxTYfQohhCgd0vQGfj19F4CnG1fG0qLkzf2kUqmoWrUq0dHR+XreQYMGsWbNGsaPH8/YsWMJDQ1l3rx5DBo0CA8PD2O5ESNGEBISwsGDB43bzp07R3BwsLGHYkBAAJCeIGrWLH1YdufOnVm2bBkTJ07kzTffJDk5mXnz5vH000/j7++fr/ci8k/Ge5pf5YQojh6cquDhYfEPvs7LlAZCCJETkgwU2coYIuxTxRV1fi+uoShE/baRate3AJCituOKQ1OirCpCNt1adWobQm2qEWpTDRdtKL6Gy1jHB1M5cDeW1tW56tgEgypnH2krCxV+1ctx5lo4py6G4tlOkoFCCCFyL01vYM3e9EUOWjfwLJHJQICxY8cyd+5cunTpki9DeCF9Vd/vv/+eDz/8kPHjx2Nvb0+/fv2YNGmSSTmDwYBerzfZtm7dOrZv3258vXLlSiB9vq01a9YA6T0av/32W2bPns2bb76JpaUlnTp14t13382X+EXBMGeIcE7KCVEcPfvss3z77beo1WpcXFwIDw837nNxcSEyMhKDwcCzzz5bhFEKIUoTSQaKbGUkA33zee4jlaLH9coOYkLTn+oH29Tkhn1D9GqN2eeIsfIgrE5L6hkuEf37Viqk3sROH8tZ56dJU1vnKJ6mvh7/JgPv06ddjRwdK4QQQjyJAgICcHFxoWfPnjRr1gxPT09sbGwylXvvvfdydN4aNWqwatWqR5bJSO49aO7cucydO/ex5/fw8GDRokU5ikkIIQpaxoT+BoOB6Ohonn/+eTp16sTBgwfZsWMHBoPBWK5evXpFGaoQopSQZKDIkqIoXLqVngzMz/kC1YqeerG/Ya+7Dyo1wZU6cjUll/MQqdS4thvM3/ctqXxjG85pkTSMOUSA8zNoLcyfYLqpb3mW7zjPhZuRJCbrsLc1PykphBBCPInWrl1r/PrEiRNZllGpVDlOBgohRGkUEREBpD+wCAsLY+vWrWzduhUAtVqNh4cHoaGhxnJCCFHQJBkoshQenUxUXApqtYpalV3y5ZwqxYBv3DFcdfcxqDVU7P82569qISg4T+dNcqzMPy4dqR/7Cw76WBrFHOLvMp3QPjTnYHYqlLOnkrsDQWEJ/HM1jNb187YoiRBCCFHSXb58uahDEEKIJ0ZcXBwA/fv3p23btqxatYqQkBAqVqzIyJEj+e2331iyZImxnBBCFDRJBoosZQwRru7pjI1VPnxMFAXvhFO4aYPQoyay3hBq1mwEV//I+7mBREsX/nbpRIOYn7E1JOAf+yv/OHc0e+hxU9/yBIVd59TFUEkGCiGEEEIIIfJNxgrqe/bsYdOmTcY5A8+cOcOpU6dwdHQ0KSeEEAVNkoEiS5cz5gvMpyHCVZPOUzHlBgoqLjq1wsWlar6c90EpFg4EuLSnUfQBHNOi8Ys7ylnnp1FUj5+8vamvB9t/vc5fl0LRGxQs8nvBFCGEEKIEunr1Kr/99hvBwem9+D09PWnbti0+Pj5FHJkQQpQc5cqlT4t08+ZNXFxcGD9+PM2aNePPP/9k3bp13Lx506ScEEIUNEkGiixdup1/8wW6pgZTLekcAFccmhJhXRmXPJ81a8kWjpx1fpqGMYdw1d2nVsJfXHVs9tjj6lR1xd5WQ1yilmt3ovN1nkQhhBCipNFqtUyfPp0dO3agKApqdfqDNYPBwOeff07Pnj2ZPXs2VlZWRRypEEIUfz4+PqjVamxsbNBoNCxZsoQlS5YA4O7ujp2dHampqfKgRQhRaCQZKDJJTk3jVkj6fBV18pgUs9En4Bt/HIAgm1rcs62Z5/geJ15TlvNOrfGP+w3PlOvEacpx36b6I4+xtFDT2MedI2eC+fPifUkGCiGEyBWNhZpJgxsZvy6p5s+fz48//siQIUMYOnQoXl5eqFQqbt++zZo1a9iwYQPOzs5MmzatqEMVQohi78qVKxgMBpKTk/H19eWpp55Cq9ViZWXFvXv3OH36NIqicOXKFVlNWAhRKCQZKDK5eicag0GhnIst5VzMW4QjKypFj1/cUTSKjljLslx3aJSPUT5alLUngXb1qJZ0Du/4U8RbliHRsswjj2nq68GRM8GcuhjK8G6+hRSpEEKIJ4mFhZoG3u5FHUae7dy5k969ezN9+nST7dWrV+eDDz4gISGBnTt3SjJQCCHMEBWVPuqqZ8+e7N69G4PBYNynVqvp0aMHu3btMpYTQoiCJslAkUl+zRdYLfEcjmnRaFXWXHBqjaKyyI/wzBZo54dTWgRltffwizvKXy5dH7mgSKPaHqhVEHgvjrDoJNzL2BVitEIIIUTxkZaWRv369bPd37BhQ3755ZdCjEgIIUouV9f0v6t27dpFkyZNaNy4MVZWVmi1Wk6fPs3u3btNygkhREErueNXRIHJWEk4L0NlnXTheCVfAuCKYzNSLezzJbYcUam46NiSFLUddvoEaib+/cjiTvZW+FRJv+e/LoUWRoRCCCGeMGl6A0f/CeboP8Gk6Q2PP6CYat26Nb///nu2+48ePUqrVq0KMSIhhCi5MuYMdHZ2ZsqUKXh5eWFlZYWXlxdTpkzB2dkZCwsLmTNQCFFopGegMGEwKFy+HQ3kfr5AtZJGnfgTqFC4Z12NCOvK+RlijqSprbnk2IIGsT9TMeUGEVaViLT2zLZ8U18PLgVGcepiKN1aVivESIUQQjwJ0vQGvt2ZvmhW07oeWJbQeQNff/113njjDSZMmMALL7yAl5cXALdv32bdunWEhITwxRdfEBMTY3Kci4tL4QcrhBDFXMacgTExMQwZMgStVmvcl9FDMKOczBkohCgMxTYZmJiYSNeuXQkNDeWHH34w+aG4ZcsWvv32W0JCQqhWrRqTJk3imWeeKcJoSx6VSoWtrS0qlcpk+92weBKTdVhbWVC1olOuzl09MQA7fQIpaluuOzTOj3DzJMbKg7u2tfFKvoxP/ElOabqhU9tkWbaZb3lW77lEwLVwUlLTsLEutt8iQgghRIHp1q0bAFevXuXnn3822acoCgDdu3fPdNylS5cKPjghhChhHpwL8MH5Ah9+LXMGCiEKS7HNdHz11Vfo9fpM23/66Sfef/99xo0bx1NPPcWePXuYMGEC69ato0GDBoUfaAmkKAq2trb4+mZeJCNjvkDvymUe25tBpc48B6CDLopKyVcBuOLYnDS1VT5EnHe37OtTVnsPe30stRJOc9Ep66FNXuUdcS9jS1h0MmevR9CsbvlCjlQIIYQoeuPHj8/0wFAIIUTuODs7A+Dg4EBCQoLJvrS0NOP2jHJCCFHQimUy8MaNG6xfv54pU6bwwQcfmOxbuHAh3bt354033gDgqaee4urVqyxZsoTly5cXQbQlj0ql4sg/dwm8e48yLmWwtPzvY3D4r7sAWGnU7D1+K8vjK7o5UL+WG6gfShYqBnwSTqFCIdS6ClFWFQvsHnLKoLLgomMLGsfsxyP1NvdTqxFu6ZGpnEqloqlveX46dos/L96XZKAQQohSaeLEiTkqbzAYuH//PlqtFiur4vEgUAghiouMhysJCQlYWlrSp08fnn32WQ4cOMCPP/5oTBDKQxghRGEplhPZzJ49m0GDBlGtmumcbXfv3iUwMJCuXbuabO/WrRsnTpwwmXtBPFpsfAphkQlExaUQHZ9q/Bccnv6LyMFWY7L9wX8JSVnXc8WUGzilRZKmsuS6fcPCvB2zJGhcCbJNn5TXO+EUaiUty3JNfdOThKcuhhqHQgkhhBAie1FRUXTo0IHTp08XdShCCFHshIWFGb9u0KABzZs3x9nZmebNm5uMbnuwnBBCFKRilwzct28fV69eZfz48Zn23bx5EyBTkrBGjRrodDru3r1bKDE+qVK0acQn6QAo62Kbo2M1hhSqJ54B4KZdfbQWdvkdXr4ItK9HitoOW0Mi1ZMvZFmmXo1yWFtZEBWXws3g2EKOUAghhCiZ5AGaEEJk7eTJkwD4+flx584dJk+ezMCBA5k8eTJ3796lbt26JuWEEKKgFathwsnJycydO5dJkybh4OCQaX9sbHpixsnJdGGLjNcZ+3NDURSSkpJyfXxJkbFwSFpaeq84nU5n3BcamQiAo50GNQZ0OkOW58iYy1FRFOPXNRMD0Cg64i1cuGtVHSWL+R4flPH3woPnyKncnEOPmst2jWmQcBSvlCskpKYvTJOSkmIyeW+96q78dTmc4wFBVHB9coc7JScnm/xfGkkdpJN6kDoAqQPIex2kavXGpFhyUjKGtMzz6+YXRVFkSJkQQpQAqampQPrfYkuXLuXy5ctERUXh6upK7dq1jVNjZZQTQoiCVqySgV9//TVly5bl+eefL/Rr63S6UrECXsbCIfEJ8QDExMQY9929n/7Lx94awsPDsz2Hu0v6x0ar1ZGUlISDIR5PbXqvzbPqOiQmpzw2Dp0uPRmZlpaW6yRsbs9xBxfc1RWoaLiHV8QxFGUgISEhREdHG8tUcEo/97GAO/iWf/J/KQcGBhZ1CEVO6iCd1IPUAUgdQO7rQG9Q6NLQEYBr165goS7YZJ3MzyeEEMVfxYoVOXPmDOfOnWPOnDk0btwYKysr7ty5w/bt2zl37pyxnBBCFIZikwwMDg5m5cqVLFmyhPj49ERVRoInKSmJxMRE4+pK8fHxuLm5GY+Ni4sDyNPqSxqNhpo1a+b6+JIioweBo4MjYZEJuLi4oNFoALhwNwSASh4uuLk5ZnsOezt7AKysNNjZ2VEv/i/UKIRrKpLs6IU5A4Q1mvSPnqWlJXZ2uRtSnJdz3LRujEfsHpySQ0i8fIKK1RpRvvx/i4V4eKaw68+jBEfqqFC5Oi4O1rmKsbhLTk4mMDCQqlWrYmubs6HhTwqpg3RSD1IHIHUA+VMHfnXzOahsXL9+vXAuJIQQIk9GjhzJnj17UKvVnDp1ilOnTpnsV6vVGAwGRo4cWTQBCiFKnWKTDAwKCkKn0zFmzJhM+4YPH079+vX57LPPgPS5A6tXr27cf/PmTTQaDZUrV8719VUqVa6TUiVRxgrCGo0GjUaD3qAQHZ/eA86jrIMxQZgVC4v0IU8qlYpy+nDcdPcwoOKGQyPjvsfJGNWkUqnMPiY/z6GzcOK2TR2qp1wg6tD3VBrXGLXNf++/nZ0dNSs5cz0olouBcXRsViVXMZYUtra2perznxWpg3RSD1IHIHUAJaMOZIiwEEKUDLa2ttSqVYtr165lud9gMFCrVq1S+yBOCFH4ik0ysE6dOqxevdpk26VLl5gzZw4zZ86kXr16VK5cmapVq7Jv3z46duxoLLdnzx5atGghQ2XyIDouBb1BwUpjgaNd9olAE4pCjcR/AAixrUWypdNjDiheAm1r45l2G+IiiDnxI65tB5rsb+pbnutBsfx5MfSJTwYKIYTIH3q9gdOX01eDbFzbHQuLYrdWmxBCiEKm1+sJDQ19ZJmwsDD0en2uO0oIIURO5CkZOHr0aHr37k2nTp2wsbHJUyBOTk40b948y31169Y1rrA0ceJE3nrrLby8vGjevDl79uzh7NmzrF27Nk/XL+0iYtMnSndzsTG7p4FTzBUc06JJU1kSaOdXkOEVCIPKkrvlWlDz/kFiT/yIU8NnsXQsY9zf1NeDDQeucOZqGLo0PRpL+cUshBDi0XR6A0t+OAPAsnc6SjJQCCEE58+fN05tlZ3Y2FjOnz9P/fr1CykqIURplqcW6t27d5k8eTItW7ZkypQpHD9+3LiCXkHp0aMHH374Ibt372bUqFH8/fffLF68mIYNGxbodZ90ETHpycByLuZ1TVcMejzuHQPgrm1tdOq8JYOLSrR9daw9fVDStEQf3Wyyr4anC2UcrUlO1XP+RmQRRSiEEEIUf3Z2dkyYMOGRU7bcuHGDF198kQYNGtCqVSvmzZuHVqt97LkVReGbb77h6aefxt/fn4EDB3LmzJlM5f755x+GDBmCv78/LVu25MMPPyzVK2MLIYqPrH5m5aWcEELkVZ56Bu7fv5+zZ8+yc+dO9u3bx86dOylXrhw9evSgV69e1KlTJ0/BNW/enCtXrmTa3r9/f/r375+nc4v/KIryXzLQ2bxkYMK537BOjUKnsuKubd7e5yKlUlG2wzBCVr9H/JlDODfvgVVZTwDUahVN6nhw8M87nLoUSkMf9yIOVgghhCgYISEhuTouY+XLjGRgdmJjYxkxYgRVq1Zl0aJFhIaGMnfuXFJSUpg+ffojr7F8+XIWLlzIW2+9hY+PD+vWreOll15ix44dxuRjcHAwI0eOpEmTJixatIiwsDA+/fRTwsPDWbhwYa7uTQgh8suDcwU6OztTr149rK2tSU1N5dy5c8TGxmYqJ4QQBSnPcwb6+/vj7+/Pu+++y7Fjx9i5cyebNm1i1apV1KhRg969e9OzZ0+TlVpF8ZKYkkZyqh6VClydzejhp9cRfTy9F91tO1/0ajPnGCymbCrXwa5WU5KunSLql3WU7/e2cV9T3/Rk4F8XQ3m5t59M1i6EEOKJ1L59+1z9jrt06ZJZ5TZu3EhiYiKLFy/GxcUFSJ9Da+bMmYwdOxYPD48sj0tNTWXZsmW89NJLxlU2GzduTJcuXVixYgUzZswAYNmyZTg5OfH1118b55B2cnLitdde4+LFi/j6+ub43oQQIr+kpKQYv46Li+P33383vn7wZ++D5YQQoiDl2wIiarWaNm3a0KZNG+Li4pg+fTr79u3js88+44svvqBZs2aMHDmSp59+Or8uKfJJRq/AMo42WJoxt5Fd0EnSYsPRWdoTbOtd0OEVCtdnhpB0/TRJV06SEnwVG8/0+6pfyw1LCxX3IhMJDk+gkrtjEUcqhBBC5L+PP/7Y5A9Sg8HA6tWrCQkJoWfPnlSrVg2Amzdvsnv3bjw9PRk2bJjZ5z9y5AgtWrQwJgIBunbtygcffMCxY8fo27dvlsf9/fffJCQk0LVrV+M2KysrOnXqxMGDB43bLl26RNOmTU0Wk2vdujUAhw8flmSgEKJIpaWlGb+2sLCgZcuWxtWFjx8/btz/YDkhhChI+bqa8F9//cXOnTvZv38/sbGx1KpViz59+mBpacnWrVt55ZVXGDduHK+//np+XlbkUUYy0M2M+QJVhjTsr6c3vsPLP4UhtdgsSJ0nVm5eOPo/TXzAYf7P3n3HR1Wljx//3OkzSSaFNAKBFKR3pUQQRLCgKBZU1HVhQc0quguu+9V11+6urmsvPxUW66ro7rqoCIgVFBALUqQoJISW3qYkmX5/fwwZCQkhfZLwvF+vec3Mveecee5hSCbPnFL+6Wv0vPYBFEXBYtIzNCOeLXtK+G5XkSQDhRBCdEvHJuOef/553G43a9asITY2ts65W265hauuuorS0tImt5+bm8tll11W55jVaiUhIYHc3NxG6wFkZGTUOZ6Zmcmrr76Ky+XCZDLhdrvrJAIB9Ho9iqI02r4QQnSEuLg4cnJygGDCb926daxbt67BckII0RFancnZu3cv77//PitWrKCgoIAePXpwySWXMHPmzDprBs6ZM4e77rqLN998U5KBnUxJMzYPiS/7AV1NBdrIWCp6DIf8ovYOr8PETpqNc8dXuA7uonrv90ScchoApw1OYsueEr7dWcTFk/uFOUohhBCi/S1btoy5c+fWSwRC8I/VK664gtdff53s7OwmtWe327FarfWOR0dHh9bKOl49g8GA0Wisc9xqtaKqKjabDZPJRFpaGtu3b0dV1dAIx23btoXKtIaqqlRXV7eqDdE25N9BdFV+v7/J5eR9LoRojaM/CzWmVcnAmTNn8vPPP2MwGJg6dSr33HMPZ5xxBhpNw1NNx40bx7///e/WvKRoY15fAJvDDUB8TOPrBSoBP70K1gIQPX4maln3GBVYS2ftgXXM+dg2Lqf8839hyRyFotEyZlAS/3zvR3bkllHt8mIxde01EoUQQrQfnVbDdRcNCz3uqiorKxvdibempobKysqOC+gErrrqKubOnctjjz3GvHnzKC4u5r777kOr1ba6ba/X2+S1EUX7kn8H0VU1dU1WRVHkfS6EaLVjZ0s0pFXZHKvVyv3338/06dOJjIw8YfmpU6fy6aeftuYlRRsrt7tRAYtJd8IkV4/yrZg8FfgNUVhHnwMf/9AxQXagmNMvxfHDJ3hLDuLcvpaoEWeRkhBJSnwE+aVV/PBzCROGp4Q7TCGEEJ2UTqvhjFG9wh1Gq40YMYJXX32VSZMmMXTo0Drntm/fzuuvv87w4cOb3J7VasXhcNQ7brPZiI6ObrSex+PB7XbXGR1ot9tRFCVUNysri9tuu41nn32WJUuWoNFomD17Nnq9nsTExCbH2RC9Xk+/fjIzoDM4etaREF3J+vXrm1QuLi5O3udCiFbZu3dvk8q1Khn497//nbi4OEymhkeUuVwuysvLSUkJJk/MZjO9enX9D8jdSZk9uGPVCdcLVAP0KvgCgKrMs9DojY2X7yIsFlOdYbRaUwQxEy6j/NNXKV+7jMghZ6Do9Jw2OIn31+Xy3c6iBpOBTR2KK4QQQnQFd999N9deey2XX345I0aMIC0tDYC8vDy2bt1KdHQ0d911V5Pby8jIqLd2n8PhoKSkpN56gMfWA9i3bx8DBw4MHc/NzSUlJaXOZ9Drr7+ea665hoMHD5KQkIDVamX8+PFcccUVTY6zIYqiYLFYWtWGaBvy7yC6qqiopq07HhUVJe9zIUSrNDUv0apk4NSpU3nkkUe48MILGzz/2Wef8Yc//EGGOndiZbZgMvBE6wXGVu7C7C7DpzVT3XdiR4TWIYzG4OLiG7blY3MGp0sr/oGkG6PBUcbX775NZe8JqAEVgPXb8jklNbrOf7DoSCOny2hBIYQQgN8fYHtOcGONYZnxaLvoVOF+/frxwQcfsHjxYtatW8fKlSsBSElJ4de//jXXXXcdCQkJTW5v0qRJvPDCC3XWDly9ejUajYYJEyYct97o0aOJjIxk1apVoWSg1+tlzZo1TJo0qV55i8XCgAEDAPjPf/6Dqqp1diIWQohwaOqGS83ZmEkIIVqjVclAVVUbPe/1eo+7fqAIP1VVm5YMVFVSCr8EoDBxHFpd9xgVeDSb003FkbUTAXRJk8k48D6xeZ+QFzUCs0mPTqtQ4/aRc9hOj+jG11cUQghxcvL6Azzx1mYAXvzTtC6bDASIj4/nzjvv5M4772x1W7Nnz+b1119nwYIFZGdnU1RUxCOPPMLs2bNJSkoKlZszZw75+fl8/PHHABiNRrKzs3nmmWeIi4ujf//+vPXWW1RWVjJ//vxQvYMHD7J8+fLQ1OWvv/6a1157jb/97W+NTkMWQoiOUFFR0ablhBCitZqdDHQ6ndjt9tDzyspK8vPz65Wz2+2sXLmyWd8ai45V7Q7g86votAoxkcdP8EU59xNVdZCAoqMwMYuTYaJ3Sfyp9Cpch9FTSVLJtxQmnU5yjwgOFTvJL3VKMlAIIYRohujoaF599VUeeOABFixYQEREBLNmzWLRokV1ygUCgXq7bl5//fWoqspLL71EeXk5gwYNYunSpaSmpobK6PV6vvnmG1599VW8Xi8DBw7k2WefZcqUKR1yfUII0ZijN1yKioqiR48e+Hw+dDodZWVloTVVO9PGTEKI7q3ZycBXXnmF5557DgjORf7b3/7G3/72twbLqqrKwoULWxWgaD+26uCH7R7RZjSa488rTylcB0BJ/Ch8+hNvFNMdqBodh3qeSeb+5aQUrKU4/jRS4o8kA0uqGJYZH+4QhRBCiHbldrv56KOP2LlzJw6Hg0AgUOd87efApsrMzOSVV15ptMzrr79e75iiKGRnZ5OdnX3cesnJyQ3WFUKIzsbhcDS4oZIQQnSkZicDJ0yYgMViQVVV/vGPf3DBBRcwZMiQOmUURcFsNjNkyBCGDRvWZsGKtmU/kgxsbIqwuaaYWNtPqCgUJHWftQKborTHaHoVrMXkqSCpZBNVCVlAEeV2FzVuH2Zjq2bZCyGEEJ3W4cOH+fWvf83hw4dDOwFHR0fjcDjw+/3ExsbKIvdCCNFEMTExHDx4sEnlhBCiIzQ7mzFq1ChGjRoFQE1NDWeffXZooWbRtYSSgY1Mee15ZK3A8tjBuEzdcDScVnvcU6pGy+GUs8jM+y8phesoShhLnNVIud1NQWkVGb1kDSIhhBDd0yOPPILT6eSdd96hd+/enH766TzxxBOceuqpvPbaa7zxxhssXbo03GEKIUSXcMopp7B9+/YmlRNCiI7QqqFNN998c1vFITpYjdtHjSe4AczxRgbqPTbiy7cCUJB0RofF1pEUJZgM9DnKcRUU1jt/SI2ip9aKxWcnPudDEk1DKbfDwYNFpGiCu315/fFAekeGLYQQQrSrr7/+mquuuorhw4fXWcPKYDBw3XXXkZOTw9/+9jcWL14cviCFEKKLqKmpadNyQgjRWs1KBj777LMoisKNN96IRqPh2WefPWEdRVFYsGBBiwMU7aOoPPiLxmrRY9A3PDquZ9FGNKofe2QazsjUBst0F6rfi+px1T8O5FmGMNixkVTHdnpaMtmNiWJnAL/bi0YB1efp+ICFEEKIduRyuejVK7hlWGRkJIqi1FnjatSoUfz9738PV3hCCNGlqKrapuWEEKK1WpQMvP766zEYDJIM7MKKyqsBjrsrrtbnIrH0GwDyk7vnqMCmKjL2pW/1DiL8doYFdrNBOwK3X6GsWiEhQn5hCyGE+IVOq+Ha6YNCj7uqnj17UlRUBIBOpyMpKYktW7ZwzjnnALB3716MRmM4QxRCiC7D5/OFHut0ujrP9Xo9Xq+3XjkhhGhPzUoG7t69u9HnousoPEEyMLH0W3R+N9WmRCqj+3dkaJ2PoiHPMpQhjg30ce0i2TKU/Q4dhVWSDBRCCFGXTqth2ti+4Q6j1caPH8+nn34aWhLmkksuYfHixdjtdgKBAO+//z4zZ84Mc5RCCNE15ObmAqDVaomNjaWkpCR0LjY2lrKyMvx+f6icEEK0N9kO9STk9vopqQhOE25o8xAl4KNn0XoACpLPAKXrjmxoK8XGvqRV7yDCb2OI/iD7SaeoSkH2yhZCCNEd3XDDDWzfvh2Px4PBYOC3v/0txcXFfPTRR2g0GmbMmMGf/vSncIcphBBdQlVVFQB+vx+v18vFF19McnIyhYWFfPHFF/j9/jrlhBCivbV5MrCmpoYPP/wQj8fD5MmTQ+vNiM7j5wMVBFQw6BQizPXfAnEVOzB4HXj0UZTGDQ9DhJ2QorDPMpShjvVkqd+zijScHoUqD3TDPZaFEEK0kD+g8vP+CgD6941Fq1HCHFHLpKSkkJKSEnpuNBr561//yl//+tcwRiWEEF1T3759KSoqwmQyYbfbWb58eeicRqPBZDLhcrno27frjywXQnQNrRrydeeddzJjxozQc4/HwxVXXMFf/vIX7r//fi6++GJ27tzZ6iBF29qZWwZAtEWLotT/I6Vn8QYAihLGompk8GitEmMfqrTRWJVqehmdABRWdc0/8oQQQrQPr8/Pw699w8OvfYPX5w93OG3G4XCERq4IIYRonltvvRUIbs4UCATqnAsEArhcrjrlhBCivbUqGbhp0ybOPvvs0PMVK1awZ88eHn30UVasWEF8fHyTNhkRHWtHbTIwov4uwpHOg0RWHSKgaClKGNvRoXVuR0YHAozU7gWgyCnJQCGEEN3T9u3bmT9/PiNGjGDcuHF8801wY7Hy8nJuvPFGNm3aFOYIhRCia4iIiCAmJqbRMjExMURERHRMQEKIk16rkoGlpaV1pgF/8sknDB06lBkzZtCvXz+uuOIKtm3b1uogRdvx+wPs3l8OBEcGHiv5yKjAsrjh+PSRHRpbV1Bi7INTG80w/QEASmsUvH7ZREQIIUT3snnzZq6++mr279/PRRddVGckS1xcHE6nk7fffjuMEQohRNfh8Xiw2+1oNA3/+a3RaHA4HHg8ng6OTAhxsmpVMtBsNuNwOIDgNujffPMNEydODJ2PiIgInRedw74COzVuP3qdhghT3X9+vcdOXMWPABQkZoUjvM5PUciLGEaSxkacxklAVciv8IY7KiGEEKJNPfHEE2RmZrJy5UoWLVpU7/y4cePYunVrGCITQoiuZ9WqVQQCAW666SaWLVvGuHHj6Nu3L+PGjWPZsmXceOON+P1+Vq1aFe5QhRAniVYtCDdkyBDeeecdxo0bx2effUZVVRVnnXVW6PyBAwfo0aNHq4MUbad2vcDkOEu99QKTSjahUQPYI/tSHSEbvxxPiSGVKl00Q/SH+NI9kAPlkgwUQgjRvWzfvp1bb70Vg8HQ4PrCSUlJlJaWhiEyIYRovsLCQpxOZ9hef/fu3QAkJCRQUFDA7NmzQ+cKCgpISEgIlRsyZEhYYqwVGRlJcnJyWGMQQrS/ViUDFy5cyHXXXcdll12Gqqqce+65DB/+y+6zH3/8MaNHj251kKLt7Nh3JBnYwwLUhI4rAS9JJd8CUJh4ejhC6zqOjA4cUpPLl+6BHCrzoKpqg38sCSGEEF2RTqert8j90YqKirBYLB0YkRBCtIzNZiM7O7vRn2kd5Z577mn0/FdffcVXX33VQdE0TKPR8NprrxEdHR3WOIQQ7atVycBhw4axatUqNm/ejNVqZezYXzacsNvtXH311XWOifBSVZWducH1Anv2sGCr/CUZGF++Hb2vCrchmvLYQeEKscsoMaQy0rQDg9NLlUfPvnw7Gb3kF6YQQojuYcSIEXz00UfMnTu33rnq6mreffddxowZ0/GBCSFEM0VHR/Piiy+GdWSgz+fj9ttvJyIigrvvvpuCggIef/xxbr31Vnr27Mn9999PVVUVf//739HpWvUneqtFRkZKIlCIk0Crf9LExcUxbdq0esetVitz5sxpbfOiDeWXVlHpdKPXaUiIMWGrPHJCVUkuCm4cUpQwHpT6G4uIYygKhyOH0N9WyI/eVL7ZdlCSgUIIIdBpNVwxbUDocVf1u9/9jl/96lfccMMNXHDBBQD89NNPHDp0iKVLl1JeXs5NN90U5iiFEKJpOsO014svvph3332Xv/71r5xzzjkAHDp0iJdeegmHw8Gll17KwIEDwxylEOJk0SZfOzidTvLz87Hb7ahq/Z1V5ZvjzmHHkfUC+/eJRXvUHyhRzv1E1BTg1+gpTjgtXOF1OSWGVDKNO/jRm8qm7/cwe/rQcIckhBAizHRaDRdMSA93GK02YsQIFi9ezL333svtt98OwMMPPwxAnz59WLx4sfzRKoQQzfCb3/wGgOXLl/POO+8A8M4776DVarn00ktD54UQoiO0KhlYUVHBAw88wJo1a/D7/fXO166jtmvXrta8jGgjtcnAwelxdY4nFwdHBZbGjcCnk/V/mkxRsMTEghNyKhTKS8uJi487cT0hhBCiE1NVlaqqKkaPHs1HH33Erl27yMvLQ1VVUlNTGTp0qKyTK4QQLfCb3/yGa665htdff53ly5dz8cUXc+2112IwGMIdmhDiJNOqZOBdd93F559/zrXXXstpp52G1Wptq7hEO9i5rzYZ2IOCEjsABo+NuIqdABQmycYhzVVjSaGnzk6Bz8r61Z9y4a8uD3dIQgghwsgfUNlfEPwd27enFa2m6yXNvF4vY8eOZdGiRVx//fUMGjSIQYNkPWEhhGgLBoOByZMns3z5ciZPniyJQCFEWLQqGbh+/XrmzJnD//3f/7VVPKKdlNlqKCyrRlFgUFocBSV29Ho9Pcu+R0HFFpVOjTkp3GF2PYpCag8dBUXw3a4izq9xojVHhjsqIYQQYeL1+bnvnxsBePFP09AawrsQfEsYDAbi4+PlD1QhhBBCiG6qVStbm0wmevXq1VaxsHbtWn71q18xfvx4hg4dytSpU3nooYdwOBx1yn322WdcdNFFDBs2jHPPPZf//ve/bRZDd1W7i3B6z2gizHp0Oh2JPeJIrtgMQFHCuHCG16UlJQeTqLvciZR/vSLM0QghhBCtd8kll/Dee+/h8XjatN2cnBx+85vfMHLkSCZMmMAjjzzSpNdQVZXFixdz5plnMnz4cK688kq2bNlSr9x3333Htddey5gxYxg3bhzXXXedLFcjhBBCCHGMVn1dfdFFF/HJJ59wzTXXtEkwlZWVDB8+nGuvvZaYmBj27NnDM888w549e3jppZeA4Ie8m2++mVmzZnHnnXfy9ddf8+c//5mIiAjOO++8NomjOwpNEc4IrmnnqShE//MGDF4nHo2ZApcRtSCnSW35o9KBtksCd3UJ0ToijQpOt5EtG77grPEzZHSgEEKILm3AgAF8+umnzJgxg0suuYRevXphMpnqlavdEbMpbDYbc+bMIS0tjWeeeYaioiIefvhhXC4Xd999d6N1lyxZwtNPP81tt93GgAEDeOONN5g3bx7vvfceqampAOTm5jJ//nzGjx/PY489hsfj4cUXX2Tu3LmsWLGChISE5nWCEEIIIUQ31apk4Lnnnsu3337L/PnzufLKK0lOTkar1dYrN2TIkCa1N3PmzDrPx40bh8Fg4K677qKoqIikpCSef/55hg8fzv333w/A+PHjOXjwIE8//bQkAxux40gycEhGDwACPi+prp8AyDdlEPB6AW+T2lIDvnaJsavSKAqnDklh7ebD7KiO59RvPiBu8lXhDksIIYRosVtvvTX0+KmnnmqwTHM3iVu2bBlVVVU8++yzxMTEAOD3+7nvvvvIzs4mKanh5Urcbjcvvvgi8+bNY+7cuQCceuqpnHfeeSxdupR7770XgE8++QRVVXnqqadCicsBAwYwbdo01q9fz8UXX9zkWIUQQgghurNWJQOvvvrq0OMNGzbUO98WuwnXflj0er14PB42bdrEbbfdVqfM+eefz4oVKzh06BC9e/du8Wt1V84aL3lHFjMfkh5MBhpd5SQEylBRyDf1C2d43cLYwcms3XyYHz29sX27kuixM9Cao8IdlhBCCNEir732Wpu3uW7dOrKyskKf7QCmT5/OPffcw/r167n00ksbrLd582acTifTp08PHTMYDJx99tl8/PHHoWNerxeDwYDRaAwdi4qS38VCCCGEEMdqVTLwoYceaqs46vD7/fh8Pvbu3ctzzz3HWWedRe/evdm7dy9er5eMjIw65TMzM4Hg9BBJBta3O68cVYWe8RHEWoPflPeo2A5Aqb4nbm1EOMPrFkYPTEKrUSgKxFBUrSX6mxUyOlAIIUSXNXbs2DZvMzc3l8suu6zOMavVSkJCArm5uY3WAxr8/Pfqq6/icrkwmUxccMEF/POf/+TJJ59k7ty5eDweHn/8cXr27MnUqVPb/HqEEEIIIbqqViUDL7nkkraKo44pU6ZQVFQEwBlnnMFjjz0GBNeageAHx6PVPq893xKqqlJdXd3i+p3Zlp8KARjQJxqXy4VBA3EVOwE4YMjE7/c3qz1Vrb1Xm123M7URCASOaqvlcQRUlUiznsHpcWzPKeNHTypJ36zAMGwqGlPnXjuwpqamzv3JSPogSPpB+gCkD6D1feD2+FGP/IKqqa4h4Ku/fEpbqZ2B0Z78fj87duzg0KFDAPTu3ZshQ4Y0uCzMidjt9nqf4QCio6Mb/Qxnt9vrjfiD4Oc/VVWx2WyYTCbS0tJ45ZVXuOmmm3jhhRcA6NWrFy+//HKrRgh258+IXY38O4juwuVyhe7lfS2EaEtN/XzYqmTg0YqLiykvL6dPnz5YLJZWtbV48WJqamrYu3cvzz//PL/97W95+eWX2yjShnm93m6729zm3cUAROtryM/PJ96eizbgoUqxcNgXDf7m/QLyeoNrBvp8vhb/8uosbdRqTRselxuA/ikGtufAtkAGZ3l2sn/Nv3CdMrlVcXWUvLy8cIcQdtIHQdIP0gcgfQAt7wN/QGVMPzMAe/b8hFbTvsk6g8HQbm2/++67PP7445SVlYUSnIqiEBcXx6JFi5g1a1a7vXZL7Nu3j1tuuYUJEyZw8cUX43a7eemll7j++utZtmwZ8fHxLWq3O39G7Grk30F0F/n5+UDw55bb7Q5zNEKI7qYpnw9bnQz85JNPePTRR9m/fz8AL730EllZWZSXlzNv3jwWLFjA2Wef3aw2Bw4cCMCoUaMYNmwYM2fO5OOPP6Zfv+Dadg6Ho055uz24Hl50dHSLr0Ov14fa705cHj/5bx8G4KzTB5MSH0np58Fvy/dr+2Iym9FoNM1qU68Pvm10Ol2LE7+doY2jRwa2Jg6DKThSYer4U/jvlwXkueNwmE1YD35P33N+1alHB9bU1JCXl0daWhpmsznc4YSF9EGQ9IP0AUgfQNv0wdCm7ZvWanv37m23tpctW8a9997LoEGDuPnmm0lLSwOCf7i+/fbb3HXXXXi9Xq66qulLYlit1nqf4SA4s6Oxz3BWqxWPx4Pb7a4zOtBut6MoSqjuE088QXx8PI888kiozNixY5kyZQqvvfZanU1RmqO7fkbsigYNGhTuEIRoE7U/y9LT0+stgSCEEK3R1M+HrUoGfvbZZ9xyyy2MHDmSGTNm8Oyzz4bOxcXFkZSUxLvvvtvsZODRBgwYgF6v58CBA5x11lno9Xpyc3M544wzQmWOt5ZMcyiK0uoRjZ3RTweL8ftV4mPMpPfqgbsgB09hDgFFywFtKjqNptlTfWpHnCqK0qJpQp2pjV/aankbmiOBpCbHktk7mpxDNn4yjeA0zyY82z4h7syrT9BC+JnN5m75/m8O6YMg6QfpA5A+gK7RB+05RXjJkiWcdtppvPzyy+j1+tDx8ePHM2vWLObMmcM///nPZiUDMzIy6q0N6HA4KCkpafQzXO25ffv2hb4whuDnv5SUlNDOwXv37mXkyJF16kZERNCnTx8OHDjQ5DiP1V0/I3ZF8u8guovan1smk0ne10KINtXUz4fNGxJ2jOeee47TTjuNt956i2uuuabe+ZEjR7Z6OP/WrVvxer307t0bg8HAuHHj+Oijj+qUWblyJZmZmbJ5SAO255QCMLxfPIqiYP8+2Hc2az88irGxqqIFxg3pCcBO43AAbN+uxF9dfxSEEEKI7ikQUDlU7OBQsYNAQA13OC1WWlrK9OnT6yQCa+n1ei644ALKysqa1eakSZPYsGFDaEYHwOrVq9FoNEyYMOG49UaPHk1kZCSrVq0KHfN6vaxZs4ZJkyaFjqWkpLBr167QlGYAp9PJ/v376dWrV7NiFUIIIYTozlqVDNyzZw/Tp08/7vn4+PhmfVC8+eabeeGFF/j888/ZuHEjL7/8MjfffDMDBgxg2rRpANx4441s2bKFe++9l02bNvH000+zYsUKbrnlltZcSre1bW8wGTgsMx5/jZOqnV8BUBo3PJxhdVvjhyYDsD3fBwmZqJ4abJveD3NUQgghOorH5+fPz6/nz8+vx+Nr2cZUncGgQYPYt2/fcc8fO0qvKWbPnk1ERAQLFizgq6++4r///S+PPPIIs2fPJikpKVRuzpw5dWaVGI1GsrOzeemll3j11VfZuHEjf/jDH6isrGT+/Pl12t+5cye33XYb69at45NPPuGGG27A4/Fw+eWXNytWIYQQQojurFXThM1mc6O77R08eJCYmJgmtzd8+HBWrlzJ4sWLUVWVXr16cfnllzN//vzQAoinnXYazzzzDE8++ST/+c9/SElJ4cEHH2w0KXmyqnZ52XOwEgiODHRu/wzV58GQ2IdqS0/g+B/yRcuk9bSSGGumuKKGg30vILXkaWzfriR67Ay0ES1f01IIIYToSHfddRfZ2dmkpqZy5ZVXhqa0uVwuli1bxurVq1m8eHGz2oyOjubVV1/lgQceYMGCBURERDBr1iwWLVpUp1wgEMDvr5tIvf7661FVlZdeeony8nIGDRrE0qVLSU1NDZWZNm0aTz75JEuXLmXRokXo9XoGDx7Ma6+9FlrzUAghhBBCtDIZOG7cOJYvX86cOXPqnSspKeGdd95hypQpTW7vhhtu4IYbbjhhualTpzJ16tRmxdqdNHWr6F155QQCKklxFhJizRzaHJwibB19Lsqh9t3d8GSlKArjhvbkgy9z+aEiin49M3EX5FCx/r/EnzMv3OEJIYQQTXLHHXeg0Wh4+OGH+cc//kFiYiIAxcXF+P1+EhMTuf322+vUURSF999vfDR8ZmYmr7zySqNlXn/99XrHFEUhOzub7OzsRutOnz5dviAWQgghhDiBViUDFy5cyJVXXsmsWbM477zzUBSFr776iq+//pq3334bVVVZsGBBW8UqjlAUBefur/FX2xst990PXgAGxLgp++QVvGX5KDoDkUMnw6FvOyLUk9K4Icl88GUu3+4s4rpfX03x2w9g3/wR0eNmoI9ODHd4QgghxAnFxMQQExND37596xyXtfeEEEIIIbq+ViUDMzIyePPNN/nrX//KU089haqqLF26FICxY8dyzz33yKYe7cRfbcfvrGi0zI58A6BhYEwNNblbADClDUNjNLd/gCexIRk9iDTrsVd5yFN6E9d3KK79P1Kx7t8kXijJcSGEEJ1fQ6PzhBBCCCFE99CqZCDAKaecwiuvvILNZmP//v2oqkpqaipxcXFtEZ9ooWov5FUGpwIPsFbj3X8YAPMpY8IZ1klBp9Vw2uAkvvj+EJt2FHLNlGvIf+VPOLd/QUzWTAzxkiAXQgghhBBCCCFEeLQ4GejxeHjvvfdYv349Bw4coKqqioiICPr27csZZ5zBjBkzQpt+iI73c5kGFYWkiACRthxcqorWGo8+NunElUWrjR/SM5QMnHfhVCz9x1L98zeUf/EmybP+L9zhCSGEEI3atWsXOTk5zJgxI3Tsyy+/5IUXXsDj8TBjxowG14wWQgghhBCdX4uSgT/99BM33XQT+fn5qKpKVFQUFouF8vJydu7cyerVq3nhhRd4/vnnyczMbOuYRRPsKNEAMCjej7sgFwBjT/m36CijBiSg02ooKK3iYJGD5DOvovrnb6n+aROu/L2YUvqFO0QhhBDtQKfVMP309NDjruof//gHJpMplAw8ePAgN998MzExMSQmJvLwww9jMpm48sorwxypaI3CwkKcTme4w2iyvXv3hu21IyMjSU5ODtvrCyGEEG2p2cnAqqoqbrzxRsrLy1m0aBEzZ84kKemX0WZFRUUsX76c559/nt/+9re89957WCyWNg1anFhtMnCguQzVUYOiM6KX6akdxmLSM+KUeL7fXcymHYVcPrU/kcMm49z+BRVfvEHPq+8Jd4hCCCHagU6rYfbZA8IdRqvt3r2b+fPnh56/9957aDQa/ve//xEXF8fChQtZtmyZJAO7MJvNRnZ2NoFAINyhNNmiRYvC9toajYbXXnuN6OjosMUghBBCtJVmJwPfffddCgoKeOWVVxg3bly980lJSWRnZzN8+HDmzZvH//73P6655po2CVY0TaULDjs0KKiku3YBYEhOQ9FowxzZyWXc0J58v7uYr38s4PKp/YmddCXOHV9Rs28bNXnbMacNC3eIQgghRIMcDgcxMTGh52vXrmXChAmhNaEnTJjAunXrwhSdaAvR0dG8+OKLYR8Z+M033/DWW2+dsNxVV13F2LFjOyCihkVGRkoiUAghRLfR7GTgF198wYQJExpMBB4tKyuL008/nc8++0ySgR2sdlRgH6sPk/0gAIZkmSLc0cYPSeb5/27l5wOVFFdUkxibiHX02di/W0X552+QMvchFEUJd5hCCCHaUCCgUmZzAdAj2oRG0zV/zickJJCTkwNAcXExO3bs4NJLLw2dr6qqQqPputOgRVBnmPbar1+/JiUDr7766g6IRgghhDg5NPtT3M8//9zkb+XGjx/Pzz//3OygROvsKAmOABxoLAFAF5uM1hwZzpBOSrFWE4PTewCwcXsBADETZqHoTbjz91C1c304wxNCCNEOPD4/tz29ltueXovH5w93OC02depU/vWvf/Hggw+yYMECDAYDZ599duj8Tz/9RGpqahgjFN3JBx980KrzQgghhGieZicDbTYbCQkJTSobHx+PzWZrdlCi5VQVdhQH/1n7eX8CZOOQcJowPAWA9VvzAdBFxhCTNROA8s//RcDnCVtsQgghxPEsXLiQs88+m/fee4+ysjIeeugh4uPjAXA6naxevZoJEyaEOUrRnXzwwQfceeeddY7deeedkggUQggh2kGzpwl7PB50uqZV02q1eL3eZgclWi7foVDpVtArAdKVwyhGC7q4nuEO66R1+vCeLF6+nV155ZTZaugRbSZ63EXYN3+Mz1aC/duVxGRdHO4whRBCiDoiIiJ47LHHGjxnsVhYt24dJpMpdCwQCFBYWEh8fDwGg6GjwhTdTFZWFk888QSLFi3iiSeeoF+/fuEOSQghhOiWmp0MBDh8+DA7duw4YblDhw61pHnRCrXrBWYay9ArAYzJGSiKrOkTLj2izQxKi2NXXjkbtxcwY2IGGoOJuDOvomTFc1Ss/y9Rw6egjZAFqYUQQnQNGo2GqKioOsfKy8uZOnUqL730EllZWWGKTAghhBBCNEWLkoFPPfUUTz311AnLqaoqGyR0sNpkYH/lACgKhuT0MEckTh+ewq68ctZvy2fGxAwAIoefie3blXiK9lHx5TvEn3d9mKMUQgghWkdV1XCHIIQQQgghmqDZycCHHnqoPeIQbcAXgN2lR5KB+gL0PXqhMZjDHJU4fXhPlr7/Iztyy6iwu4i1mlAUDT2mzaHgjXuxb16D9bTpGOJ7hztUIYQQQgghhBBCdHPNTgZecskl7RGHaAM/l2lw+RUilRp6acsx9Bwe7pAEkBhrYUCfWH46UMGGbflccGR0oDltGJZ+p1K993vKP3ud5Cv+FOZIhRBCCCGEEEII0d3JYnLdyLYjuwgP0uejs0Shi27ars+i/U0cGdxVeN2Ww3WOx039NSgaqvd8R03e9nCEJoQQog1pNRqmjunD1DF90GrkY5YQQgghhOh85FNqN7KtKPjPOVh/GGPPTFmvsYOYzcYTrpN0xsheKArs3FdOSUVN6LghvjfW0ecAUPbJq6gBf7vGKoQQon3pdRp+ff5gfn3+YPQ6+ZglhBBCCCE6nxZtICI6n7IaOOzQoBBggLEIfdLIcId00jAYdCiKwoZt+dic7uOW69kjgvzSKpa8t51R/X8Ztak1jSdD9wWeon04tnwaSg4KIYQQQgghhBBCtDX5yrqb2F6kBaCvrpTYpGQ0OkOYIzr52JxuKhzHv6UkRAKwO6+8zvFSt56StHMBKP/iDfzVjnBehhBCiFZQVRV7lQd7lUd21xVCCCGEEJ2SJAO7KI05Cm1kbOi2rUQPBKcImzNH1Tl39E12Fw6f1KRIFAUqHG7sVZ465yp7nY4hsQ+BGiflX7wZpgiFEEK0ltvr55ZHP+OWRz/D7T15ln6wWCzcfPPNpKamhjsUIYQQQghxAjJNuAtSVZWoQVmh515fgB1vvw8oDO+ppceUa07YhqLRtmOEoiEmg47kuAgKyqo4UGhnaGb8Lyc1Wnqcex0Fr9+N44ePsY6cijGlX/iCFUIIcdLz+/2sXr2aTZs2UVZWxu9+9zsGDBiAw+Fg48aNjB49mvj44O+y2mSgEEIIIYTo/CQZ2AUpisIX636gsqQcgIJKHy6fQqRSg9cYy/L/fnrcuqkZfTh11CkgOxyGRZ/kKArKqthf6GBIRo86m7yY+wwhcsgZOHd8SelH/yRl7t9QFPl3EkII0fHsdjvXXXcd27Ztw2KxUFNTw69+9SsgmPh78MEHufjii7n11lub1W5OTg4PPvggP/zwAxEREcycOZOFCxdiMDS+vImqqixZsoQ333yT8vJyBg0axJ/+9CdGjhwZKnPHHXfwv//9r8H6f/jDH7jhhhuaFasQQgghRHclmYYuylbppKyskrKySg4eKgagv76Qff6E0PGGbs6qmhO0LNpTalIkWo2CvcpDub3+ZiNxU3+NYjDhzt+DY+vnYYhQCCGEgEcffZQ9e/awdOlSPvnkkzrrH2q1Ws4991zWrl3brDZtNhtz5szB6/XyzDPPsGjRIt555x0efvjhE9ZdsmQJTz/9NHPnzuXFF18kISGBefPmcfDgwVCZm266ibfffrvObc6cOQBMmjSpWbEKIYQQQnRnkgzsBvKrglN+UyJ8BBQZ7NnRFKXpU671Oi29EoMbieQV2Oqd10XFEXvGlQCUf/4v/DXOtglSCCGEaIZPP/2Ua6+9lgkTJtQZxV4rLS2Nw4cPN6vNZcuWUVVVxbPPPssZZ5zBrFmz+OMf/8iyZcsoKio6bj23282LL77IvHnzmDt3LllZWTz++OPExMSwdOnSULk+ffowcuTIOrddu3bRr18/Bg4c2KxYhRBCCCG6M0kGdnGemmrK/BFo8WOMjj9xBdH2NME/knyOclwFOSe89TJVAZB3uJLqw3txFeTgrSwONRc95nz08b0JVNupWPtWWC5JCCHEyc3hcNC7d+/jnvf5fPj9zdsgZd26dWRlZRETExM6Nn36dAKBAOvXrz9uvc2bN+N0Opk+fXromMFg4Oyzz2bdunXHrVdUVMR3333HhRde2Kw4hRBCCCG6O0kGdnHOyuDosr6GCvzGqDBHc3JT/V5Uj+uEtwSDB6NWxeOHwkpP8Ljvl92FFa2O+HOvA8C+eQ3u/L3huiQhhBAnqT59+rBjx47jnl+/fj2ZmZnNajM3N5eMjIw6x6xWKwkJCeTm5jZaD6hXNzMzk/z8fFwuV4P1VqxYQSAQ4IILLmhWnEIIIYQQ3Z3MKe3CFNXPwWojAEmRYQ5GNJlGgVSryt4KhQM2hZ6Rar0y5rRhRAyZSNWOryj58Hl6zfs7ilb+uwohRGen1WiYOKJX6HFXNWvWLB599FHGjRvH+PHjgeAGZh6Ph+eee44vv/yS+++/v1lt2u12rFZrvePR0dHYbPWXzji6nsFgwGg01jlutVpRVRWbzYbJZKpXb8WKFYwaNYrU1NRmxXksVVWprq5uVRui6WqTuy6XS/pddFvyPhdCtBdVVRtc4uVYkl3owqKqD5PnSwPAGl3/w7XovFKjA+yt0FDoVPAcZ5ZV/NnzqMndgqc4D9um94k5/dKODVIIIUSz6XUarr94WLjDaLU5c+awd+9ebr311lAC77bbbqOyshKfz8eVV17J5ZdfHuYojy8nJ4edO3dy1113tbotr9fLrl272iAq0RT5+fkA7Nu3D7e7/mZrQnQH8j4XQrQng8FwwjKSDOzCnDYHKhri9dWYm/CPLTqPaCNEG1VsboVDdoWUXvXLaCOi6THtN5R88AwV694hYuB49HEpHR+sEEKIk46iKDz44INcfPHFfPTRR+zfv59AIECfPn2YPn06Y8aMaXabVqsVh8NR77jNZiM6OrrReh6PB7fbXWd0oN1uR1GUBut+8MEH6HQ6zj///GbHeSy9Xk+/fv1a3Y5omtp/4/T09HpTw4XoLuR9LoRoL3v3Nm2ZMUkGdlGmmhJyXcEPv4mRTd/NVnQefaIDbC/Wst+mYexxykQOm4zzx3XU7NtKyYcv0PNX96IoXXfamRBCdHeqquL2Bod8G/XaJk3T6MxOO+00TjvttDZpKyMjo97agA6Hg5KSkkb/GK49t2/fvjq7Aufm5pKSktLgFOEPP/yQrKws4uLiWh23oihYLJZWtyOapvbf02QySb+Lbkve50KI9tLUz56SVeiirGXb2eUNDidLsEoysCtKtapolODowFKHr8EyiqIQf342it6I68AOHFs+6+AohRBCNIfb6yf7oU/IfuiTUFKwu6ipqeE///kPb775JocPH252/UmTJrFhwwbsdnvo2OrVq9FoNEyYMOG49UaPHk1kZCSrVq0KHfN6vaxZs4ZJkybVK79161YOHDjAjBkzmh2jEEIIIcTJoFONDFy1ahXvv/8+O3bswG6307dvX6699louu+yyOtnNf//73/zzn/8kPz+f9PR0Fi1axJQpU8IYeccKuKspKrHhRo9F6yfGeOI6ovMxaCElUuWQQ2F3wfHXCtHHJBE7eTbln7xK+aevYul3Krqo2A6MVAghxMnmzjvvZNu2baxYsQIAj8fDFVdcwZ49ewCIiori1VdfZfDgwU1uc/bs2bz++ussWLCA7OxsioqKeOSRR5g9ezZJSUmhcnPmzCE/P5+PP/4YCE6ny87O5plnniEuLo7+/fvz1ltvUVlZyfz58+u9zgcffIDJZOLss89uTRcIIYQQQnRbnWpk4CuvvILZbOaOO+7g+eefZ9KkSdx1110899xzoTIffvghd911F9OnT2fJkiWMHDmSm2++mS1btoQv8A7m2L6W7a7gqMDkKOjiM5BOan1jgjsJ5xS7qXE3PDoQIHrMBRh7ZhJwV1O25p8dFZ4QQoiT1KZNm+ok01asWMGePXt49NFHWbFiBfHx8Tz77LPNajM6OppXX30VrVbLggULeOyxx5g1axZ33HFHnXKBQAC/v+6oyuuvv56bb76Zl156iRtuuIHCwkKWLl1ab6dgv9/P6tWrmTJlChEREc28aiGEEEKIk0OnGhn4/PPP11nbJSsri8rKSl5++WVuuukmNBoNTz/9NBdccAELFy4EYPz48fz8888899xzLFmyJEyRdxxVVSn/7iO2e08HICVKDXNEojXizSoRepUqr8L6rYeZNrZvg+UUjZb4C27i8NI/UrX7a5y7NhA56PQOjlYIIcTJorS0lF69ftnd6pNPPmHo0KGhqbdXXHEFS5cubXa7mZmZvPLKK42Wef311+sdUxSF7OxssrOzG62r1Wr56quvmh2XEEIIIcTJpFONDGxokedBgwbhdDqprq7m4MGD5OXlMX369Dplzj//fDZu3IjH4+moUMPGdWAnOwv81KhGTFqVHuZwRyRaQ1Ggb3QAgI++3t9oWWNSGjGnXwJA6aoX8Tkq2j0+IYQQJyez2Rza+dfn8/HNN98wceLE0PmIiIgGdwYWQgghhBCdX6dKBjbk+++/JykpicjIyNAOdOnp6XXKZGZm4vV6OXjwYDhC7FD2zR+x1RscPdYzSpUpwt1An+jgv+Pu/RXkHrY1Wjb2jMsxJKUTqHFS8uH/Q1VlZKgQQoi2N2TIEN555x127tzJCy+8QFVVFWeddVbo/IEDB+jRo0cYIxRCCCGEEC3VqaYJH+u7775j5cqV3H777QDYbMFEidVqrVOu9nnt+ZZQVZXq6uoW1+8I/qpK7Ls2sc1zKQDJFh9+f/OSQbW5o9okUiAQaHYcR7dx7Jo+XamNo689nHHoFUiLN7OvxMv76/Zww8zGF2OPOud6yt68m5qczZR9sxLLsJZvnlNTU1Pn/mQkfRAk/SB9ANIH0Po+cHv8od+xNdU1BHzaNovtWKqq1tlgrS0tXLiQ6667jssuuwxVVTn33HMZPnx46PzHH3/M6NGj2+W1hRBCCCFE++q0ycDCwkIWLVrEuHHj+PWvf93ur+f1etm1a1e7v05rmHK+4oAnnirVhFEHJrWK5uYvvd7gJhW1SSuXy9XsOGrb8Pl8LU6gdpY2aoU7jlPirewrgXVb8jm1r4rF2PigXWO/yVh++hTb569z0GMkYGnd7sJ5eXmtqt8dSB8EST9IH4D0AbS8D3x+lfREPQA///wTOm37DuE3GAzt0u6wYcNYtWoVmzdvxmq1Mnbs2NA5u93O1VdfXeeYEEIIIYToOjplMtBut3P99dcTExPDM888g0YTTIxER0cD4HA4SEhIqFP+6PMtodfr6devXyuibl9qwE/JVy+wxXMKAH3jDURGWJrdjl4f/CfXaoMjFUwmU6h/m9uGTqfDYml+DJ2ljaNHBob7WuLjzaSnGNmXbyffGcGFI9MaLa8OGEC58xDewz8Rv/dT4i7/M0oz/x0hOPIlLy+PtLQ0zOaTcwFK6YMg6QfpA5A+gLbpg2FD2zio49i7d2+7th8XF8e0adPqHbdarcyZM6ddX1sIIYQQQrSfTpcMdLlcZGdn43A4ePvtt4mKigqdy8jIACA3Nzf0uPa5Xq8nNTW1xa+rKEqLEzkdoeqnTXgclWzxBtdLzEgwovU0fxRa7Wyi2mlFGo0mlBhsSRvNrdvZ2vilrfDGodVomDExjWfe2cKabw8za9ogtJrGR5MYLl7IoSWL8Ob/jHf7J8RkXdyi14bgQvGd+f3fEaQPgqQfpA9A+gC6Rh+01xThYzmdTpxOZ4NLi6SkpHRIDEIIIYQQou10qmSgz+dj4cKF5Obm8sYbb5CUlFTnfGpqKmlpaaxevbrON9UrV64kKyur3abKdAb27z/iJ29PqgMGYqKMpMTqKC8Kd1SiLU0e3ZtXVuyguLya73YWMm5oz0bL62MS6XH2PEo//H+Ur30Lc8ZIjElpHROsEEKIbu/NN9/klVdeaXSDts6+xIoQouMVFxeHZm6JhtX+XD0ZNsBsC1arlcTExHCHIUS30qmSgffddx+ff/45d9xxB06nky1btoTODR48GIPBwC233MJtt91Gnz59GDduHCtXrmTbtm3861//Cl/g7cxTlk/Nvq187zkDgDNG9kKjVIY3KNHmjHotZ4/ty7tf7OX9L3NPmAwEiBpxFtU/f0v1nm8p/t/j9Jr3CBqDqcmvqSgKZrO5w0aXCCFEd+fy+Mh+6BMAXvzTNEyGTvVRq8neeust7r//fiZOnMhll13GE088wdy5czEajbz77rvEx8dz7bXXhjtMIUQnU1xczG9vvBGvxxPuULqExx9/PNwhdAl6g4EXnn9eEoJCtKFO9Ql1/fr1ADz88MP1zn366af07t2bGTNmUFNTw5IlS1i8eDHp6ek8++yzjBo1qqPD7TD271bhVnX86OsDwORRvdi9tTK8QYl2MWNiBu+ty2Hb3lL2HqykX2pMo+UVRSFhxk0cWvIHvGWHKf3onyReeHOTX89sNjN4cN3di9tzd0ohhBBdw7/+9S8mTpzIP//5TyoqKnjiiSeYPHkyWVlZoV2GKysrwx2mEKKTsdvteD0eTCnj0Ris4Q5HdAMBjx1X/tfY7XZJBgrRhjpVMvCzzz5rUrnLL7+cyy+/vJ2j6RwC7moc2z5jh6c37oCW5B4W+veJZffWcEcm2kNCrJkzRvXii+8P8e4Xe/m/a087YR2txUrixQspeONenNs+RzGYMSQ0bf1Mn89HZUUFMbGx6HQ6tBYrkQPHt/YyhBBCdHEHDhzg6quvBoKbrAF4vV4AoqKimDVrFm+++Sbz5s0LW4xCiM5LY7CiNceFOwwhhBDH0fztR0WHcmz7HNXjYjODAJg0qreM2uqGFM0vG49cemZwV+v1Ww9TWFbVpPrmvkOIPSOYIHf8sAZP8X78zooT3nyOclwVxfgc5cFj1bK+ixBCiGDCz+/3AxAZGYnZbKawsDB0PiIigtLS0nCFJ4QQQgghWqFTjQwUdalqANu3K6kKGNhZkwAEpwiLbkgTzMtX79tGXEUhw3pq2F4Q4J3/fM6cMU3bGMeQ0h9T36G49v9I1e6viRo5tU6SUQghhGiqU045hd27d4eejxgxgrfeeovJkycTCAR4++23SUtLC1+AQgghhBCixWRkYCdWk/MDvopCfgj0xx+A9BQrfZJl7Y3uzO+qwu+sYHqaC4C1OT4qy048ws/vrCDgqSFx5u9RDCYCVZXU5MpcciGEEC1z0UUXsWfPHjxHNgG45ZZbyMnJ4cwzz+Sss85i3759LFy4MLxBCiGEEEKIFpGRgZ2Y7duVAHyvDAfgrNP6hDMc0YEGJwToGx1gv03DRzk6Zg32NameLiqOyOFTcHy3Ck/BXnTRCU1eP1AIIYSoddlll3HZZZeFnp966ql8+OGHfPbZZ2i1WiZMmEB6enoYIxRCCCGEEC0lycBOylN6iJrcLRT5o8m16dBoFCaPlinCJwtFgZkDfDz9jYGP92k5r5+PyKbNFsaQ0Adj7wG4D/1E9Z5v0UZEo7XIiFIhhOgIWo3C8FMSQo+7up9//pm1a9dy+PBhAHr16sWkSZMkESiEEEII0YVJMrCTsn+3CoAfIiaADU4dmEhslCnMUYmONCo5QKo1wEG7hjU5Oi4d1LTRgQCmtGH4HeX4bCVU7VxP1MhpKDp9O0YrhBACQK/T8oerTw13GK3m8Xi4++67ee+991BVFc2RtW0DgQCPP/44F154IQ8++CAGQxO/qRJCCCGEEJ2GrBnYCQVcVTi2fUFAVfjGngTAVJkifNLRHBkdCLAmV0uVt+l1FUWDZWAWisFMoMZB9c/foKpqO0UqhBCiu/nHP/7B8uXLueqqq1i5ciXbtm1j+/btrFy5ktmzZ/P+++/zj3/8I9xhCiGEEEKIFpCRgZ2QY9vnqF4X+yzDKDvsJ9KsZ+yQpHCHJcLg1J4BekcFOOTQsCZHyyUD/U2uqzGYiBh8Os6tn+MtO4z70G5MqYPaMVohhBDdxfvvv8/MmTO5++676xzPyMjgnnvuwel08v777/PnP/85TBF2PcXFxdjt9nCH0ekdPHiwzr04PqvVSmJiYrjDEEII0QVJMrCDqaqKohx/DSFVDWA7MkX4e/1pgJ8zRvVCr9PWKadotA3UFt1N7ejA574zsDpHx7R0P1HGptfXRfXA3G80NXu+w5W3HW1kLPrY5PYLWAghTnIuj49bHv0cgGdum4LJ0DU/avl8PkaMGHHc86NGjeLzzz/vwIi6tuLiYn574414j+zOLE7s8ccfD3cInZ7eYOCF55+XhKAQQohm65qfULswRVHYsC0fm9Pd4PmI0h30rijEqbHy9YEAABajjlUb9gGQkhDJiFMSQCMzvE8Wp6X8srPwB3t0XD206WsHAhiTM/A7yvEU5lK9+2siR01Da4psp2iFEEJ4vE0fxd1ZTZw4ka+++oqrr766wfNffvklEyZM6OCoui673Y7X48GUMh6NQTb1Eq0X8Nhx5X+N3W6XZKAQQohmk2RgGNicbiocDScDe+4Lfsv+hXYi/oBKdKQBvU4TKm+NkIW6TzYaBS4f7OPRjQY+3aflnAwf8ZbmtWHOHIW/qhK/o5yqHeuJGnGWbCgihBAipLKyss7z3//+9yxcuJCbb76Za665hj59gmsX79+/nzfeeIP8/HyeeOKJMETatWkMVrTmuHCHIYQQQoiTnCQDO5GIqkNYnXkEFA3fVyUDPjJ7xTQ6rVh0LxpTBNrI2HrHR0SoDM71sLMowPKcCLKz6ieFNaaI47araLREDDodx5ZPCFTbqPrpayIGy4gOIYQQQePHj6/3eUNVVX7++Wc+/fTTescBZsyYwc6dO5v8Gjk5OTz44IP88MMPREREMHPmTBYuXHjCHYlVVWXJkiW8+eablJeXM2jQIP70pz8xcuTIemW/+OILXnjhBXbv3o1er2fgwIH84x//IDlZlsgQQgghhKglycBOpGfhVwD8aBlHeZkPjaKQ1lOmkpwMzCYDqqoSkT4c0oc3WGZ+QgV/eGodX+3zc/kl40hPia5XRlVVFL2pwfoao4WIwRNxbvscX3kBrn3b0KUOadPrEEII0TUtWLCgXb98tNlszJkzh7S0NJ555hmKiop4+OGHcblc9TYpOdaSJUt4+umnue222xgwYABvvPEG8+bN47333iM1NTVU7r333uPPf/4z8+bNY+HChVRVVfHdd9/hdjc8G0MIIYQQ4mQlycBOwuiuoEfFjwBs8A0GvPROisRokI1CTgYGgw5FUVj71XYqioqPWy69h459ZT4eWvIl04eY6vzhFpuUyOSJwxqd/quLisPSfyzVuzfiPvwzqsECGlk/UAghTna33HJLu7a/bNkyqqqqePbZZ4mJiQHA7/dz3333kZ2dTVJSUoP13G43L774IvPmzWPu3LkAnHrqqZx33nksXbqUe++9FwhOc77//vu5884766xzOHXq1Pa8LCGEEEKILkl2oegkkos2oKBSHNmfvSXBhccze9Uf+SW6N5u9irKyyuPeTol2oVFUCux+tu+31zlns1c16TUMCamY+g4FwJO3FU11ZTtekRBCCAHr1q0jKysrlAgEmD59OoFAgPXr1x+33ubNm3E6nUyfPj10zGAwcPbZZ7Nu3brQsVWrVhEIBJg1a1a7xC+EEEII0Z1IMrAT0PpqSCz9DoCNuiy8vgARZj1Jcc3cJUJ0exY9nBIXXKvpx2IN/kDL2jGmDkKf0AdUFUPRLgI1jjaMUgghTl4aRWFA3zgG9I1DI2v+huTm5pKRkVHnmNVqJSEhgdzc3EbrAfXqZmZmkp+fj8vlAmDr1q2kp6ezfPlypkyZwuDBg5k5cyZr165t4ysRQgghhOj6ZJpwJ5BY8i3agIdqcxI/VpiAGjJ6RcvGIaJBp8QFOGBTqPEp7ClXGBivNrsNRVGw9B+Do8ZJwFmOa/dG9COnIpPShRCidQx6LXfOHRvuMDodu92O1Vp/HeTo6GhsNluj9QwGA0ajsc5xq9WKqqrYbDZMJhMlJSXs27ePp556ij/+8Y8kJCTwxhtvcNNNN7F8+XJOOeWUFseuqirV1dUtrg+EkpZCtDWXy9Xq92dbkve6aC+d7b0uRGelqmqTckmSDAwzJeCjZ/EGAHZGn0Hx4RoUICNFNg4RDdNpYEhCgO8KtPxcriHV6iei8Y0YG6RotJgGjMe59TM07iqqdnxJdNbFbR6vEEII0d5qE3aPPvpoaJ3AsWPHcu6557JkyRIeeeSRFrft9XrZtWtXq+LLz89vVX0hjmffvn2dapMcea+L9tLZ3utCdGYGw4kTBJIMDLMe5dsxeB149FF8X5UCVNIzPgKL6fibQAjRK0plvy1ASbWGLUUaTu/dsvnCit6Ip+cQTAXb8TsrcPzwMdGnnouilfefEEKItmO1WnE46i9JYbPZiI4+/hrJVqsVj8eD2+2uMzrQbrejKEqobu2ow/Hjx4fK6PV6xowZw549e1oVu16vp1+/fq1q49iRjUK0lfT09HrT6MNJ3uuivXS297oQndXevXubVE6SgeGkqvQs+gqAwwlZ5P4c/JCcIRuHiBNQFBiZFODTPIWSag0H7SqJLWxLNZgxDczCtfMrvKWHKPnweRIuvEWmqQshRAu4PD7+8FRwY4vHfj8Jk0E+akFwzb9j1wZ0OByUlJQ0+sdd7bl9+/YxcODA0PHc3FxSUlIwmUwAjSbrWjuSRFEULJbWreNcG6cQbc1kMrX6/dmW5L0u2ktne68L0Vk19e942UAkjKLte4moKcSvMfCDMhSXx4/RoKVXQmS4QxNdQIQBBvYIjgj8sURDjaeFu4kA2sg4IgadDoqCc/tayj//V1uFKYQQJx1ntQdntSfcYXQqkyZNYsOGDdjt9tCx1atXo9FomDBhwnHrjR49msjISFatWhU65vV6WbNmDZMmTQodmzJlCgAbN24MHfN4PHz77bcMGTKkLS9FCCGEEKLLk6+rw8BbWYyruJSBJasBKDD346e8MgD6WAN4io6/q54/Kh3o1RFhii6gX5zKIYeK3a2wfredK9TmbyZSSx/Xk4ihk6na/gW2jcvRRcYSPXZG2wUrhBDipDV79mxef/11FixYQHZ2NkVFRTzyyCPMnj2bpKSkULk5c+aQn5/Pxx9/DASnHGZnZ/PMM88QFxdH//79eeutt6isrGT+/PmhekOGDOHcc8/lrrvuorKykoSEBN58801KS0vrlBNCdIyA237iQkI0gbyXhGgfkgwMA9Xnweo8QIynkAAadmkHUOgIAAp9oryoHu/x6wZ8HReo6PQ0CoxO9rN2v5Z9JW4+//4QYyJa3p6p9wAMPVKo+OJNyj5+GcVgxjpyatsFLIQQ4qQUHR3Nq6++ygMPPMCCBQuIiIhg1qxZLFq0qE65QCCA3++vc+z6669HVVVeeuklysvLGTRoEEuXLiU1NbVOuYcffpjHH3+cxx57DKfTyZAhQ3j55ZcZMGBAu1+fEKIuV8HX4Q5BCCFEIyQZGCZp1T8CUGDKIMdpARR6mFWiWrArrDi5xZhgYHyAXaVaXvzfNtJmRhPTmvZOv5RAjQPbpg8o/fB5NHoDkUPOaKtwhRBCnKQyMzN55ZVXGi3z+uuv1zumKArZ2dlkZ2c3WtdisfCXv/yFv/zlL60JUwjRBkw9x6MxWsMdhugGAm67JJeFaAeSDAwDc3Uhcd5CAijsNw9mf0lw6ca+0S1f802c3E6JUynz6im2eXl+rZ3bxwZHDbaEoijETZ1DwOPG8cMait97GkVnIGLAuLYNWgghhBBCdEsaoxWtOS7cYQghhDgO2UAkDBKLvwGgyJjOIU8U1V4FnUYlJarl672Jk5tGgSmDrZiNWnYXenl3d+vy/IqiED/9eiKHTQY1QNH/Hqc654c2ilYIIYQQQgghhBDhIiMDO5i7KA+rIxcVhf2WwewvDg7f6h2lopPUrGgFq0XHzZeP5B//+p4PftbRLzbAyOSWjzZVFA0JMxagej1U7d5I0X8eIXn2nzH3HdqGUQshRPeiURTSUqJDj4U4miyEL9qKvJeEEEK0hiQDO1jl+v8AUGzsg02xku8M/qHQN0amCIvWmzSqN1s27+TjnTUs3qznvjM9JFhaPuJU0WhJvPj3FP3HQ/Xe7yl8+yGSr/yTJASFEOI4DHot912fFe4wRCcl614JIYQQojOQZGAH8pQeompX8EPgfssQDtkVAqqC1agSYwxzcKLb+NW4SPbmV7GvUsOTm/T8ZaIHs77l7SlaPYmX3UbROw9Ts28rhcv+StLld2DJGNF2QQshhBAnAdlUQbQV2VRBCCFEa0gysANVbngXULFZM3FqY8iz/bJxiMwkEm1Fr1W4ZayH+9YaOWTX8Pz3en4/1ou2FdPQNToDSVfcQdF//kFNzmaK3nmIpFl/xNLv1LYLXAghhOjmZFMFIYQQQnQGskpdB/FWFOL88UsAihPHYnOD3a2gUVRSrbJxiGhbPcywcJwHg1Zla5GWt37UobbybabRGUie9X9Y+o9B9Xsp/PcjVP30TdsELIQQ3YTb6+fWJ9dy65NrcXv94Q5HCCGEEEKIeiQZ2EFq8raDGsCcOQqXOYn9R0YFpkSqGLRhDk50SxmxKjeM9gLw8T4d7//c+jeaotOTdOltRAzKgoCPoncfxblrQ6vbFUKI7kJVVcpsNZTZalBb+y2MEEIIIYQQ7aBTJQP379/P3XffzcyZMxk8eDAzZsxosNy///1vzj33XIYNG8ZFF13E559/3sGRNl/kkInETZ1D4oW34POrHLQf2TgkWv5QEO1nTEqAa4YGE4Lv7tazJqcNEoJaHYkXLyJy6CQI+Cn+3xPYN69pdbtCCCGEEEIIIYRof50qGbhnzx7Wrl1L3759yczMbLDMhx9+yF133cX06dNZsmQJI0eO5Oabb2bLli0dG2wzaQxmYsZfhDYimn2lHnwBBYteJb4VO70K0RTnZPq5ZGAwIfjGj3q+yGuDhKBGS8KFNxM1chqoAUpXvUjFundkFIwQQgghhBBCCNHJdapk4FlnncXatWt5+umnGTJkSINlnn76aS644AIWLlzI+PHjuf/++xk2bBjPPfdcB0fbcj8VuAHZOER0nJn9/ZyX6QPg5a1tNEJQoyX+/N8SM3EWABVfvk3pqhdRA7JGlhBCCCGEEEII0Vl1qmSgRtN4OAcPHiQvL4/p06fXOX7++eezceNGPB5Pe4bXJvJLnBTafIBKH9k4RHQQRYHZQ3xM7xdMCL7xo54VbbGGoKIQN/kq4s+7HlBw/PAxRf99lIDX3eq2hRBCCCGEEEII0fY6VTLwRHJzcwFIT0+vczwzMxOv18vBgwfDEVazfPzNAQCSIlTM+jAHI7oljSkCbWRsvZsuKparx0ZyyTAdAP/epeftPdEYYhLRRcWhjYxFY45q0WtaTz2PpMtuQ9Hqqf75GwrevB9/la0tL0sIITqMXq9HkaH7QgghhBCim9KFO4DmsNmCyQWr1VrneO3z2vMtoaoq1dXVLQ+uSa8Bn34bTAamRvnx+wMtaiN4r+L3N3865tH1AQKBjo+hs7Rx9LV39WsBMBn1qKpKRPpwSB9+3HLzToXYL/by0gc7+HhPAKfpFG49azQmgy4Ug9vtbvZ7Q+kznNhLb6fi/cdxH9rNoZf+j5iLFqFP6NOi6+koNTU1de5PVtIP0gcgfQDgdrsZMmQIWm3LRk8rikJKQiSo4Ha5CPja73tXVVUlaSmE6JQCHnu4QxDdhLyXhGgfXSoZ2J68Xi+7du1q19c4VKmlwuHGpIMoxUlLco9eb3Cap8/na1HysrZ+bcLJ5XJ1eAydqY1a4Y6jLdpQFAVFUfj0ix8obMIo2dP7wtcHYOP2Am64/0MmpkNan2TOOXscpaWl2O0t+cVrRJk4H/3Xb4C9lNK37qVq+EV4kwa0oK2OlZeXF+4QOgXpB+kDOLn7wGw2Exsby6GNq3Dby1vUxoJRcfTOms7OnTvbPbFqMBjatX0hhGgOq9WK3mDAlf91uEMR3YjeYKg3IEgI0TpdKhkYHR0NgMPhICEhIXS8NmlRe74l9Ho9/fr1a12AJ/DBG1sA6JdsJNJkaVEben3wn0yn02GxNL+N2vq1Ix5MJtMJ12ps6xg6SxtHj3zr6tdydBvOKhdVzhMneXvoYVwyfFuop6JGw0e7VabqqzkH6N27d4tiCBqMb9goCt99HM+BH4n84b9EZl1GxLiZnXIES01NDXl5eaSlpWE2m8MdTthIP0gfgPQBEFp/2KB60etatravThusl56e3q67rO/du7fd2hbtQ0a4iLbSWd9LiYmJvPD88y38UvnkcfDgQR5//HFuvfVWUlNTwx1Op2e1WklMTAx3GEJ0K10qGZiRkQEE1w6sfVz7XK/Xt+oHqaIoLU7CNEWZrYYffi4FYGBPEz57VYvaqc2lKIrSoilMR9eH4KYtzW2ntTF0pjZ+aavrX0tL2oiP8DM2wcEOWxQ2t4bVW+0kf76Hc/tW46ssalEcWouVyIHj6XXN3ZR98gr2b1fi3Phf1Ip8EmYsQGPsnAkGs9ncrj8DugrpB+kDOLn7oPb3o1anQ9G3bHFfrS748aq9E6qd8QsW0TAZLSXaQ2cdLZWYmCiJmyZKTU1t9wEpQgjRkC6VDExNTSUtLY3Vq1czbdq00PGVK1eSlZXVqafKfL+7mEBAZVBaHDEWKJUvy0QnYdYFmNDLy/ZSPQftGl5esZOd6UbmDbZhasVPCEWjJf6c+RgS+lK6eglVuzfiKc4j8ZI/YExOP3EDQgjRBXn88NjHbnRff8W912dh1Ld+53bR9cloqaaTEVNNJ6OlhBBCtFSnSgbW1NSwdu1aAA4fPozT6WT16tUAjB07lri4OG655RZuu+02+vTpw7hx41i5ciXbtm3jX//6VzhDP6GhmT0YNySZK6b1Z9eWH8MdjhB1aDUwOjlAn57RfL3HyaZ9bg6UGLjpNC99ols3xc06ahqGhN4Uvfs43vIC8l/5E3HT5mA99TwZ1SKE6HZUFQodATQuZ7tOERZdj4yWah4ZMSWEEEK0n06VDCwrK+P3v/99nWO1z1977TXGjRvHjBkzqKmpYcmSJSxevJj09HSeffZZRo0aFY6QmywlPpK/zBsHwK4t4Y1FiIYoCgzubWHm2SN56KX1FDjh/nUGrhziY1q6n9bk7Uy9B9L7usco+eAZqvd+T9lH/6QmbzsJMxagNUW03UUIIYQQQgghhBCiUZ0qGdi7d29++umnE5a7/PLLufzyyzsgIiFOPoPS43jo0jhe+KSILYVa/rVdz48lGq4b6SXK2PJ2tZYokq74E/ZvP6Ts09ep/mkThwtzSbjwZsx9h7bdBQghhBBCCCGEEOK4mreNrBDipGA1aVg41suvhnnRa1S2FGr5yxdGdpa07keGoihEj51Bypy/ootJxGcroeBf91C6egkBd00bRS+EEKKzysnJ4Te/+Q0jR45kwoQJPPLII6EdnBujqiqLFy/mzDPPZPjw4Vx55ZVs2bKlTplNmzYxYMCAerdFixa109UIIYQQQnRNnWpkoBCic9CYItBFxXLecBiUGuC5rzzk2+HvGwycN1DLFSP0GHQNzxvWmKNO2L4ppR+95z9K2aev4djyCfbvV1O95zviL7gRS8bINr4aIYQQnYHNZmPOnDmkpaXxzDPPUFRUxMMPP4zL5eLuu+9utO6SJUt4+umnue222xgwYABvvPEG8+bN47333qu3ycRDDz1ERkZG6HlsbGy7XI8QQgghRFclyUAhRIjZZEBVVSLSh0P6cACGA09N9LH0gx2s3pjH6t1+fiw3s+iq0fTv0/AfWKqqnnBzEI0pgoQLbiRi8OmUfvgCPlsxhW89QNSIqcRNvRZtE5KKQgghuo5ly5ZRVVXFs88+S0xMDAB+v5/77ruP7OxskpKSGqzndrt58cUXmTdvHnPnzgXg1FNP5bzzzmPp0qXce++9dcqfcsopDBs2rB2vRAghhBCia5NkoBAixGDQoSgKa7/aTkVRcZ1zvRQ4Z5CJr/a6OVTs5Lan1jGit55RvQ1oNL8k/mIS4jhzUtM39LGkj6D3DY9T/vmb2L9biWPrp1T9vInYSbOxjj4HRaNts+sTQoj2pigQZ1HQWsyyY/ox1q1bR1ZWVigRCDB9+nTuuece1q9fz6WXXtpgvc2bN+N0Opk+fXromMFg4Oyzz+bjjz9u77CFEEIIIbodSQYKIeqx2asoK6usd9wCnNkXthZpOOzQsOWQl30lHkYm+Yk1B8soekOzX09jMBN/7nwiBmVRunox3pKDlH30T+ybP6LHtN9gyRjRugsSQogOYtDC/eeZiB49OdyhdDq5ublcdtlldY5ZrVYSEhLIzc1ttB5QZ+ovQGZmJq+++ioulwuTyRQ6fsMNN1BZWUlCQgIXXHABv//97+ucF0IIIYQ42UkyUAjRLAYtjEkJkGJX2VKkweZWWHtAS3qMyuD4QKvaNvcZTO/rHsO++WMq1i3DW3KQwrfux3LKacRN+RWGhNQTNyKEEKJTstvtWK3Wesejo6Ox2WyN1jMYDBiNdbe0t1qtqKqKzWbDZDIRFRXFddddx5gxYzAajXz99de89NJL5Obm8uKLL7Y4blVVqa6ubnF90Twulyt0L/0uuit5nwsh2ktTluwCSQYKIVqol1Wlh8XPj8UaDjk07KtUKHAqTDB4mvwDqCGKRkv0aecROWQiFV++g/27VVTv+Y7qPd8TMSiL2ImzMCT2beOrEUII0dUNHjyYwYMHh55nZWWRmJjI/fffz7Zt2xg+fHiL2vV6vezatautwhQnkJ+fD8C+fftwu91hjkaI9iHvcyFEezIYTjxbT5KBQogWM+ngtJQAfapUthZpqPIqfLrTiW3pJuZdOITUpJZvAqI1RxJ/zjyso8+h/Is3qf5pE1W7NlC1awMRA8cTM/FyjElpbXcxQgjRBjx+eOYzN7rvN/LnuWMx6GXd01pWqxWHw1HvuM1mIzo6utF6Ho8Ht9tdZ3Sg3W5HUZRG606fPp3777+fH3/8scXJQL1eT79+/VpUVzRf7b9xenp6vanhQnQX8j4XQrSXvXv3NqmcJAOFEK2WGKFyVpqfn8s17CnX8N2uIjb/VMy54/ty1TkDiI1q/lpNtaMLDfG9SZ71f7iL8qhc/x+qdn1N1e7gzZwxEuup52HpN7rBjUZaM0Kxs7UhhOgaVBUOVAbQVNkIqGq4w+lUMjIy6q0N6HA4KCkpafSP4dpz+/btY+DAgaHjubm5pKSktPt6gIqiYLFY2vU1xC9q/z1NJpP0u+i25H0uhGgvTf27U5KBQog2odXAoPgAwzJiOVhtZtOOQlZtyOPTbw9y/ulpXDqlX7OSgoqi4Nz9Nf5qe+iYKW04uh69qcnZjKcgh5rcLdTkbkFjjsKUOhhj7wFojMGdTLQWK5EDx7f6uhqKoznaKg4hhOjqJk2axAsvvFBn7cDVq1ej0WiYMGHCceuNHj2ayMhIVq1aFUoGer1e1qxZw6RJkxp9zQ8//BCAYcOGtdFVCCGEEEJ0fZIMFEK0qdhIA3Nmj2N7TimvrtjJTwcqWL42h5Xr93HWmD5cdEZGk6cP+6vt+J0VdY4pioKl36kYew3AU5CDp2gfgRoH1T9vonrPt+h79EKf0AdT6qA2u6aG4hBCCNE8s2fP5vXXX2fBggVkZ2dTVFTEI488wuzZs0lKSgqVmzNnDvn5+Xz88cdAcDpddnY2zzzzDHFxcfTv35+33nqLyspK5s+fH6p322230bdvXwYPHhzaQOSVV15h2rRpkgwUQgghhDiKJAOFEG1LowEgU5PPXybWsK3AwLvbvOSUBVi9MY/VG/MY1lPDlH46RvfSoNPWH8asj03Gkt742k5acyTmjBGY+g7BU3oQT/5e/M4KvKUH8ZYepGbPt3gKc4gcPAFz+vAGpxELIYToONHR0bz66qs88MADLFiwgIiICGbNmsWiRYvqlAsEAvj9/jrHrr/+elRV5aWXXqK8vJxBgwaxdOlSUlN/2WX+lFNO4YMPPuCll17C6/XSq1cvfvvb33LDDTd0yPUJIYQQQnQVkgwUQrQLv6uKQFUlQ60wZAL8VKbwUY6OHwo1bC8IsL3AQ5RB5dSefk5LCTAoPoAumEdEY276xiOKVocxKR1jUjo+RznekgN4Sg6iempwbvsc57bP0ZgiMKcPx5wxCkvGSHTWHu101UIIIRqTmZnJK6+80miZ119/vd4xRVHIzs4mOzv7uPVOdF4IIYQQQgRJMlAI0S40pgi0kbGh50OiYEgaFDsCfJHjZ12uj8oahS/26/hiP0QYYHRvLWNStQxPNrfoNXVRceii4jClj0D1usHrxrl7I4FqO1W7NlK1ayMAhsQ+mNNHYOo9kECPvm1xuUIIIYQQQgghRJcgyUAhRJsymwyoqkpE+nBoYKpvNHDKZJjnD7B1bykbtuXz9Y8F2Jwevsz182WuH91XBxjQ18lAq8qgKIX0GDU0arApFEVBF9eT6NHn0OPc+bgLcqjO+YGanB9w5+/FU3wAT/EBbJs+AMBqiaVy/xB8fQdhSM7AkNAHjaF9d6cUQnRfkQYFjdkQ7jCEEEIIIYRokCQDhRBtymDQoSgKa7/aTkVR8QnL99bApcP0FNm15JX52F/uo8qjsiO3jB0AGDFpVTLjAvSLU+kXGyAzLkCEvmnxKBotpl79MfXqD5OuxF9tp2bfVmoO7MR9aDee4oNoqytw7foK166vamuhj+uJISkNQ2JfvLZSFI2CxhSJopUfm0KI4zPq4OEZJqJHnxXuUIQQQgghhGiQ/FUrhGgXNnsVZWWVTS5vAPpHwylWMPZIIr5XbzZv2cuPB6twuhV2lGjZUfJL+V7RCv3iNfRP0NAvXkPPKAWN5pfNSI637qDWYiVyyBlEDjkDAGd5CTnffE6yzkWg5ACeon34qyrxlufjLc+nateGOvUVowWtOQqNOTJ4b4pEY7KgGC1odDISSAghhBBCCCFE5ybJQCFEp6IokBxnYdr4vkzPSiMQUNlfaGd3Xjm78srZvb+CgtIqDttUDtv8rM0J7jhpNGjJSIkms3c0mb1iyIyOxuTzo9c1vouwxhSBLyGTqEGDsFgsAPicFXiK8vAU78dTvB/Xwd34qypQfV5UdzU+dzVUFtVvTKtHY7T8cjNZ0EUn4EpIRWeNRxsZKyMLhRBCCCGEEEKElfxVKoTodI431TjDCBn9FWrSLBQ7AxQ7/BQ7/JQ6A7g9fnYdSRjW0us0pPW00q93DJm9o8noFU2fZCtGfeMJQl1kLLrIWCyZowCwbV6Dz1GO6vMQqHHgr3EQqHYQqHEQcFcTcFWh+jzg9xKothGottVpz7n1syOPFLSRMcHEYFQcOmsPdFE9gvfWeLRRPdBFxaJomzgHWgjRbrQWK4qu+R+TPH6VZ9cH0G37htuuORXDCX7eCCGEEEII0dEkGSiE6LQam2ocCURGQkYkqCo4PVDpVqh0KdhcYPNo8foC7DlYyZ6Dv7ShUaBnfAR9e1pJS7aSHGfE4/QSCKiNxqIoCoreiEZvRGeNr3de9fuCicEjycHax6rPCwEfPns5BHz4nRX4nRWNvpY2IiaYGLT2CCUMtUclDrVRcW0+JVlRFMxmM4qinLiwEN2YoiioqkrM0Iktqu/y+MhZ+QmUlxNQG/+5IoQQQgghRDhIMlAI0eUpCkQZIcqokmoN/vHdI6kHYyeMJueQjZxDleQctpFzyIaj2sPhkioOl1SxYVtBqI3FH5XQJymKPslW0npa6dvTSt/kKOKsTdtVWNHq0FqsaC3WOse1kbFEjz4HVQ3gr7Ljd5Ths5fhs5fic5Thd5QHnzvK8NvLUP1e/FWV+Ksq8RTmHPf1NBbrL6MKo3qgtcajs8YdlTDsgUZvrFNHVdXjJvvMZjODBw8+4XU21oYQ3YWiKHz+xWZsZY0n7hvi86u43T6MRvmIJYQQQgghOif5pCqE6JYsFhM9e0SQEh/JGSN7AcFEVqXDTV6Bnf2FdvYXOMgrtHOg0IHH62fvIRt7D9Wd4htl0dM7SqWXRUdvq0pva4DeUSrmZs7kVRQNusgYdJExGHtmNlhGVVUC1XZ8RxKGocThMc9Vn4dAtR1PtR1P0b7jvqbGHBVMDsYkoI/riT62Jz5nRXBtQ1NEnaSez+ejsqKCmNhYdMeZGqm1WIkcOL55Fy5EF1Vpc1LejE2QavkCoKoy1V8IIYQQQnRekgwUQnRLtesObtiWj83prnfeqNfSv08MGSmRlFeUo9VHYKvyUWZ3UW5zUWZzYaty46j2sqsadh3z47KHRSE1RiE1RkNqjELvGA0pVgWdtu6ouePtatwQRVHQRkSjjYjGmJxR51ztiDxVVQm4nMHk4FGJwuAowyMjDu1lqF43gRoHnhoHnuK8+i+m0aIxRQR3RTZFoRrMeNw+vGofFEtkk2MW4mSjqH50qhed6kUbCN4rBFDREFA0eAJaUBNQZYqwEEIIIYTopCQZKITo1mxONxWO+snAWl6vl5LyKhISLMRaTcRaTdA7eC4hxkR6rxgOFNrJK3AcGU1op8zmoqxapaxaZUt+INSWVqPQKzGStGQrfXpGkZZspW+iFbM/gE6radV1KIqCc/fX+Kvt9c5prcE1BWupqhocPeiqIuByBuv4fag+L+6CHAI1dgj4CVTbgyMRj9QzAtX5P1KjM6KJsIamPWss0cHHrboCIboOn6OcKHsulurDmAJOTP4qzP4qTIEqdKq30boeVctK3yX4q1wEquxgiOugqIVovsLCQpxOZ7jDqOPgwYN17juLyMhIkpOTwx2GaKHO9l7vrO9zkPe6ECcLSQYKIU56en3DU/osJj39esdwOO8gcZ5i4uJgVJwOtzeC8uoAFdUBKqr9VFQHKK8O4PWrHCh0cKDQAVt+acds1NIrRkfvSB+pMRp6WhWSrQrxFgWN5sTr7+ljk7GkD8dfbT/h5iNHUxQFrTkKrTkKfUIfogZlHdkZuYyAqzq4G7LLib8mmDD0OivR+NyoPjd+Wwl+W0nd9vQmqnZ8iSE+FX1CHwyJqRgS+qBtxuhHIToTVVXxO8pxF+biLsjBU5iLqyCHQFUlGSeo61N0+BQ9fkVPAA0aAihqAJ+qgKKgaLQox6zbKURnYrPZyM7OJhAInLhwGDz++OPhDqEOjUbDa6+9RnR0dLhDEc3Umd/rne19DvJeF+JkIclAIUS3pChNG8em1+tJSEhotExDuxobgCRD8EZMcEfjGh/Y3Qp295F7j4LTo1Dj9rO3yM/eIgB/qA2dBhIjFZKiFJKjNCRbFZKjgrdYi4LmyJp+bT3ZUFE0aM2RaM2/TAf2er04S0roEReLxltDoNoeTD5W24IjCF1VqF4XrgM7cR3YWac9bWQshoQ+GBKOJAkT+mBI6I3GYG7jyIVouVDiryAHd2EO7oJcPIW5+Ksq6xdWNNQYYnGoFlzaSGq0kbg0Ebi0EXg0ZnyKDpTgaF+PH0qrFcprFCrd4PEpOFUFnaLBp8jagaLzio6O5sUXX+xUo6U6s8jISEmOdFHyXm8eea8LcXKQZKAQons6MuLO5yjHVVB43GKBQABXjQuT2YRGU3cqrz8qHejVpJdTFLDowaJXSY6E2hRer4w0Bg05hQOFwWnGeQV28kudFJRW4/MHyLer5NtVoO631Qa9lp49LKQkRJISr6VnUR4xDi0JKkQbg6/XHhStDp0pDqLqTm1U/cHJxIb4XnhKDuItOYin5CA+WzF+ZwU1zgpq9m2tU0cXnYghIRVDYp9fkoQ9eqHoJEEi2peqqvjtpbgLcn9J/BXl4q+y1S+saNDH98bYMwNjciZKXG8iU/vz3qpvKC8qqV+eYPK/yKlwwKZQ4FRQqf8f0u9X8fo73ygUIY4mUwHFyULe60IIUZckA4UQ3Zrq96J6XMc9H/D78bmqCWhUFG3d0YRqwHecWk1nNunp29NKXs5+IquLGRoNQ6MhkGGmyq1idwWw1dTeB7C7AjjcKh6vn/2FDvYXOo5p0YRJq5IUqZIUEbxPjggcuVeJNLRPolDR6tBGxhI17Mw6xwPuGjylB/GUHDiSJDyAp/gA/qpKfLZifLZiqvd+f1RDGvRxPY+MHuyD/shUY31MEopWfiWJ5lP9Prxl+biL8/AU5eEpzsNduI9AA+tromgwJPTGkJyJMTkDY89MDElpaI6azutyudAYTA2+VkCFg3aFPWUanN5f/qNFGVR6mFVizSomLcTGx3D5RVnEWRtuRwghhBBCiHCSv7yEEKIDNDTVGMAEmGqnG1uDxwIqVHvB6VGo8oLfEInREsnhwgpKHD5cfoX9NoX9DQxyshg4MtVYc2T6sUK0WSHSoCOuyIGvWsXgDU5RPprXD96AgtsPfiU48ilA8L42JnOkkYhjNkPRGM2YevXH1Kt/nfb81Q48pQfwFB9JEB65BVxVeMsO4y07TNXujb9U0GjRRSegj0tBH9ezzk1njUfRyPYlnV3tjtft1YYa8OOzl+Etz8dbegh30ZHkX+lB8DeQuNdoMcSnYuyZEUz+9czAkNi3TuKvqfwB2G9T2FOuocYXjE+vUekTrdLHGiD6mJxffIye+BiZJi+EEEIIITonSQYKIUQno1Eg0gCRhmAmrk+/eKZNGYWiKHh9fgrLqskvcZJfWhW8lTjJL3FSanNR7YHcMpXcMv8xreYfuUEwBXksE3CijUAq4Y0P0GsVjDow6RUijBpizBqij7rFWDTERWiItWiJtVgxpg3DmDYsmOhRVbTmiGBysPgg3tLgdGPV68JXUYivopCanGM7RIcuOh5ddAI6awL66IRfnkcnoLP2QNHK1ONwa2zH66bQmKMw9x6Iz16Kz1GK316Gz16Kt7IYb3k+vvJCVH/DO/kqBjOGxL4Yk9IwJPbFkJSOIakvGp2hNZeENwB5lQp7yzW4/cEkoFGr0i8uQFqMir6BTcL9Afhil5O9zu/53RUj0eskkS2EEEIIIToXSQYKIUQnZzDoUBSFtV9tp6KoOHRcAXop0CsRSNTh80dgdwWwu9TQlGO7K4DLC340qCjUuL20dhkzr1/F6wenW6XUGWD/CcpHWQz0iDYduVmO3I8gLnMskUMNRJh1WAJVGGtKUG2FeCsK8JYfuVUUgt8XShQej8ZiRRcZgzYyFm1kLLoj99rIWLQWK1pzFJojOyvXrlnYFiPZRF1H73itqgFUny84Vd/rRvV5UL1uAl538PmRW8DrJuCuDk7nV0/w5tTq0Mcmo+/RK5j8S0zDkNQXXUwiitJAZq6Fymw1bM6rYcchLd5A8D1i1qmcEhegb7SKtpGXUoH8Si/lrhL8ARVJUwshhBBCiM6mSyYDc3JyePDBB/nhhx+IiIhg5syZLFy4EIOhdSMAhBCiMzveVONjRQFRZuCoWYp9+qUzbcooADy+AP4GMoKqChqNgqKARlFQFAWNEhzxpSjBei63j7Xrf6SsuByfX8XlU6nxqNR4g7dqj0qNN0CVJ/jYHwBHtQdHtYe8ghOPGDMZtESak4m09MFi0mHuocWoCWDEg1F1YwjUYPBVYfDY0VWXoPPYMeHBaPdictgwUIZJ8WJUvGiV4+zDrNWhMZjRWePRmiNDSUK/Vo+p0kGV6yD+SCuKwYzGYEJjNKMxmFEMpuC93oii07dp8imcVFU9kqjz4HdUonGW4i3Kw6VTCHhcqF4PAZ8b1eNC9XmCyTyP68h9DQF3NQF38N5nKyHgdaH6fNCSNTcVTTCZa41HZ+0RvI+OD04f75HSrlPGvT4/W34uYc2mPL7dWYw/oAIKkXqVU3oESLWqtfsSCSGEEEII0aV1uWSgzWZjzpw5pKWl8cwzz1BUVMTDDz+My+Xi7rvvDnd4QgjRKR1vdGEtf8CPy+XCZDKhPU6yJTWjD6eOOgX8XgI1djSABbDoCP42OWaJNFUNTrOs8YLLp1DjA2NUDNE94ii3u6hwuHBWe3HWeKmqCU7/dHn8uDx+Sm3H2/RFS3BxRSvQu9Fr1ikBTIoP45HkoBEPRsWLCS9GxYex9MhxxY5RqU0i+ti/82eMR8rUHjMqXnTKMQlUrQ5Fqw8mBmvvdXoUrQFFp0PRGVC0R+41WlCUI/ea4GNFA5pjH2t+eayqR24B1NrHBO9VNdDA+QCq34fP5yPg86P6fcFdoP3eYGLO70ETCB5TfV7UgC84cs/rpnb3a4BooKzRnm0mjTbYB3ojGr0BRWc88jh4r+iNaIxmdLE9ic2a2epkX1NHfKqqSkFZFT/mlLFtTynf7iqk2vVLAjPJqqNPhJuUKLXddu8WQgghhBAiHLpcMnDZsmVUVVXx7LPPEhMTA4Df7+e+++4jOzubpKSk8AYohBCd2PFGF/r9fqqrq7FYLGi1DSdjYpMSmvVaigIGbfAWfSTZ1G9wPJMnDmfdxl1UlHgJJvdMBFQVjy94c3tV3D71yHTk4DGf/5fnOqOJiEgLNW4fNW4friP3wZsf35FRjz5Vg1M14KRtRo1r8ddJDhoVLwb86BUfBsWPHh965chz/MHHuNArVUcSieqRydqgoB65BR/70eBDi0/V4EWLT9XiQxO696o6PKoOr6rFw5F7VVfnsRcdHlWLn+Mn03QcHV8wXsORuA2KD6PGj1HxY9KBSc+Rew0mg4JJr8Vk0GA26DGZdJhNOixmM+YIMyaLGa0pkpr9Owh4XUclSXVNTu5pzZFtkggMqFC+fQNOu+PIiFWo8arYXCrlVSqlVSqHbSqHbAGqPHXrx5ph3IAYLpg2ii3fbKGs6Pg7kQshhBBCCNFVdblk4Lp168jKygolAgGmT5/OPffcw/r167n00kvDF5wQQogmqaywUVpYf4QiBNdCNHHUNie1Iw+P6Dc4hckThx8zylF75Ab+QHBNw9rkoTcQfOw76pjZaqVHfCy5h21U1Xjx+gK4vT5cbi8BVcHnU/H4/Hh9gSPTRcGPlipVS9VxZh93Bb4jicYaOHowYCt5AS8ajQOtEotWCQ5s1B251x6ZZq4e83pHPw2O5nPDBx/VOVtbRz2mUkBVCQRU/AGVgKri96uhY82h00BmDw0DEzWMSNHQL0GDITGJiJ5WtjSrJSGEEEIIIbqOLpcMzM3N5bLLLqtzzGq1kpCQQG5ubpiiEkII0dGauoZinVzikZxhv7QUJk8azKoN+6hwuButHwio+PwBvL5AnftIs55T+sTi8QbweP24vX48R25uT+3zYJLR5w8mqQKqihpQUdUjj9VgIkyn1aDTadDXuWnR6zQYdBqMei1GgxajXovhqMfBex0/7sqj2m5HpwGdVkGjKIQSaqHrCCZKfQHw+dXQ46iYGPqkJuLx+qnx1I629AdHXHqCj0OjMGufe4IjMl0ef51+ChBMDdbV1ARdAGi7kXgajUKESYfFpMdi0hFlMRAfYyYhxkzvxEj69rTSKyESg77h0YjttTahEEIIIYQQ4aao6rHf1XduQ4YM4fe//z033HBDneMzZsxg1KhRPPDAA81uc/Pmzaiqil7f/nv+KYqCy+UhEGjZdp46nQ6DQRccveL3n7hCI/X9Pl9wraoOjqGztKECOp0Wo0Hf5a+lpW2oEBx6c+R90JWvpaVtHNsH4Yoj3G001g8dGUd42vjl57GKSlN/Kup0WgwGHR6Pr8U/07VaLXq9tsVt1NZvi774JYbgxhlNpQIaTTB56fH+ch3N/XSh0Qbb8Hr9BBqo3GhESvC8VqNBpw+2obby36TFv1tUqPIEUFDoEW1q1/UGvV4viqIwevTo9nuRk1ztZ0TZpE4IIYQQXYHH42nS58MuNzKwPdQuNN6UBcfbgsnU+g+UJqMeaHny0mTUg7F1yc/WxiBtSBvShrTROdpoHYOh9b9KW9tGW/RFW1xHW/SnTtv6XZqNbXYtLbueiIhWv3yTKEd2/RbtR/pXCCGEEF1JUz8fdrlkoNVqxeFw1Dtus9mIjo5uUZujRo1qbVhCCCGEEKKbkc+IQgghhOiOWv/1ewfLyMiotzagw+GgpKSEjIyMMEUlhBBCCCGEEEIIIUTn1+WSgZMmTWLDhg3Y7fbQsdWrV6PRaJgwYUIYIxNCCCGEEEIIIYQQonPrchuI2Gw2LrjgAtLT08nOzqaoqIiHH36YCy+8kLvvvjvc4QkhhBBCCCGEEEII0Wl1uWQgQE5ODg888AA//PADERERzJw5k0WLFslOb0IIIYQQQgghhBBCNKJLJgOFEEIIIYQQQgghhBDN1+XWDBRCCCGEEEIIIYQQQrSMJAOFEEIIIYQQQgghhDhJSDJQCCGEEEIIIYQQQoiThCQDhRBCCCGEEEIIIYQ4SUgyUAghhBBCCCGEEEKIk4QkA4UQQgghhBBCCCGEOElIMrCLy8nJ4Te/+Q0jR45kwoQJPPLII3g8nhPWU1WVxYsXc+aZZzJ8+HCuvPJKtmzZUqfMpk2bGDBgQL3bokWL2ulqWqY9+6DWF198wezZsxk5ciRjxozh2muvpbCwsI2vpOXasw/uuOOOBt8HAwYMYPHixe10RS3T3u+F7777jmuvvZYxY8Ywbtw4rrvuOnbt2tUOV9Jy7d0HP/zwA1dffTXDhw/n9NNP54EHHqCmpqYdrqTlWtoHb7zxBtnZ2YwfP54BAwawevXqBssVFRVxyy23MGrUKMaOHcuf//xnnE5nW19Gq7RnH5SXl/Pggw9y+eWXM3ToUEaNGtUel9Bq7dkHGzZsYNGiRZx11lmMGDGC888/n3/+8594vd72uBQhupRPPvmEN954o03bPOuss7j//vvbtE0hOrPav8O2b98e7lBEN3THHXcwY8aMDmtn5syZ3HHHHa1+vYa0x++ck4UkA7swm83GnDlz8Hq9PPPMMyxatIh33nmHhx9++IR1lyxZwtNPP83cuXN58cUXSUhIYN68eRw8eLBe2Yceeoi33347dFu4cGE7XE3LdEQfvPfee9x8882MHTuWF154gYcffpihQ4fidrvb67Kapb374Kabbqrz7//2228zZ84cACZNmtRu19Vc7d0Pubm5zJ8/H4vFwmOPPcZf//pXbDYbc+fOpaSkpD0vrcnauw8OHz7M3LlzMZvNofZXrFjB7bff3p6X1Syt6YP33nuPiooKJk+efNwyXq+X6667jry8PB577DHuvfdevvrqK/7whz+05WW0Snv3QVFREStXrqRHjx4MHTq0LUNvM+3dB8uWLaOqqorf/e53LF68mIsvvphnnnmGu+++uy0vQ4gu6ZNPPuGtt95q0zafffZZ5s2b16ZtCiGE6Pra43fOSUMVXdYLL7ygjhw5Uq2oqAgdW7ZsmTpo0CC1sLDwuPVcLpc6evRo9bHHHgsdc7vd6pQpU9R77rkndOzrr79W+/fvr27btq09wm8T7d0HFRUV6ujRo9U33nijPcJvE+3dBw351a9+pZ5//vmtDb1NtXc/vPjii+qwYcPUmpqa0LEDBw6o/fv3V//3v/+15aW0WHv3wV133aVOnDhRdbvdoWOrV69W+/fvr+7YsaNNr6WlWtoHqqqqfr9fVVVVPXjwoNq/f3911apV9cp88MEH6oABA9ScnJzQsS+//FLt37+/unXr1ra5iFZq7z6oLaOqqvr000+rI0eObJvA21B790FZWVm9Y88//7w6YMCABs8JcTK5/fbb1QsuuKDRMoFAoM7vEiFEXV3h7zDRdTXl53RbtnPRRRept99+e6tfrzUxiPpkZGAXtm7dOrKysoiJiQkdmz59OoFAgPXr1x+33ubNm3E6nUyfPj10zGAwcPbZZ7Nu3br2DLnNtXcfrFq1ikAgwKxZs9ol/rbQ0e+DoqIivvvuOy688MI2ib+ttHc/eL1eDAYDRqMxdCwqKqptL6KV2rsPdu3axZgxYzAYDKFjEydOBOCzzz5rwytpuZb2AYBGc+Jfia2JcVcAAB+eSURBVOvWrWPAgAFkZGSEjk2YMIGYmBjWrl3b4rjbUnv3QVPKhFt790FcXFy9Y4MGDUJV1U4zUliIcLjjjjv43//+x549e0JLitxxxx2hqWRr167loosuYtiwYXz22WdUV1dz//33c+655zJixAjOOuss7r77bhwOR512j50mXNvepk2buPjiixk5ciSzZs3ixx9/7OhLFqKOd999l8GDB1NaWlrneGVlJUOHDmXZsmX88MMP/Pa3v2XixImMHDmSmTNnsnz58vAELE5qjf0MdbvdPPTQQ0ycOJFhw4Yxc+ZMPv744xO2uXnzZi699FKGDRsW+rnfkDVr1jBz5kyGDRvGxIkTeeihh+rMvHv33XcZMGAA5eXldeodPeX4eL9zRNN0/k/04rhyc3Pr/EEKYLVaSUhIIDc3t9F6QL26mZmZ5Ofn43K56hy/4YYbGDRoEJMmTeLvf/97vfPh1N59sHXrVtLT01m+fDlTpkxh8ODBzJw5s9P80Q8d9z6otWLFCgKBABdccEErI29b7d0PF1xwAX6/nyeffJKKigqKiop46KGH6NmzJ1OnTm3jq2mZ9u4Dt9tdJxEIoNfrURSl0fY7Ukv7oDXtK4pCenr6SdMHXUE4+mDz5s0YDAZ69+7dLu0L0RXcdNNNTJ48mdTU1NDSIjfddBMAxcXFPPjgg8ydO5clS5YwaNAgXC4Xfr+fRYsWsWTJEn7/+9/z7bffhuo0pqSkhAcffJD58+fz5JNP4na7ufnmm2XtThFWZ599Nlqttt56s2vWrAHgvPPOIz8/n9GjR/PXv/6V559/nnPOOYe//OUv/O9//wtHyOIkdaKfobfddhtvv/021113Hc899xz9+vXjlltu4dNPP220zfnz52MwGHjyySeZP38+9913H0VFRXXKffrpp/zud7+jX79+PPfcc1x33XUsW7aMP/7xj826hsZ+54gT04U7ANFydrsdq9Va73h0dDQ2m63ReseOcILgH0qqqmKz2TCZTERFRXHdddcxZswYjEYjX3/9NS+99BK5ubm8+OKLbX49LdHefVBSUsK+fft46qmn+OMf/0hCQgJvvPEGN910E8uXL+eUU05p82tqrvbug2OtWLGCUaNGkZqa2vrg21B790NaWhqvvPIKN910Ey+88AIAvXr14uWXX+40IwQ7og+2b9+OqqooigLAtm3bQmU6g5b2QXPab+jfu63abwvt3QddQUf3QV5eHq+99hqzZ88mIiKizdsXoqvo06cPcXFx5OfnM3LkyDrnbDYbS5YsYcSIEXWO33fffaHHPp+P3r17c/XVV7Nv3z7S09OP+1o2m41//etfoc9iZrOZX//612zdupXTTjut7S5KiGaIiopi8uTJrFixgl/96leh4ytWrAjNJDj6C3VVVRkzZgxFRUW8/fbbXHLJJeEIW5yEGvsZGhkZyZo1a7jvvvuYPXs2EFwr/vDhwzz33HPHHQjx6quvoigKS5YsCX1eTk5OZu7cuXXKPfvss4wcOZLHHnss1LbZbObuu+/mp59+YsCAAU26hsZ+54gTk5GB4rgGDx7MH//4R84880yysrJYtGgRd9xxB1988QXbtm0Ld3gdQlXV0BSWiy++mAkTJvDUU0+RlJTEkiVLwh1eh8vJyWHnzp1tsvtUV7Nv3z5uueUWJkyYwMsvv8wLL7xAr169uP766+tNBemurrrqKvbu3ctjjz1GeXk5u3fv5r777kOr1YY7NCHCxul0csstt9C7d28WLVoU7nCE6LRiYmLqJQIBli9fzsUXX8yoUaMYMmQIV199NRBMsjcmMTGxzpey/fr1A6g3AkWIjnbBBRewZcsW8vPzgeCo2G+//TaUBLTZbDz44INMmTKFIUOGMGTIEN5++2327dsXzrDFSaaxn6Hff/89EBzJerTp06ezc+dOqqurG2xz69atjBs3rs4X58cu21JVVcWuXbs499xz69Q9//zzAUKvLdqfJAO7MKvVWm9NFQj+gomOjm60nsfjqbcbrt1uR1GURuvWrinWWdZkae8+qB1ZMn78+FAZvV7PmDFj2Lt3b1tcQqt15Pvggw8+QKfThX5Ydybt3Q9PPPEE8fHxPPLII5x++ulMmTKFF154Abvdzmuvvda2F9NC7d0HWVlZ3Hbbbbz++utkZWVxySWXcNpppzFw4EASExPb9mJaqKV90Jz2nU5nu7XfFtq7D7qCjuoDj8fDggULsNlsLF68GIvF0mZtC9HdxMfH1zv28ccfc/vttzN8+HCefPJJ3nnnHZ577jmAer+TjnXs6F+9Xt+kekK0tylTpmA2m/nwww+B4BrkRqORadOmAcF1zlasWMG8efNYunQp//nPf7jsssvweDzhDFucZBr7GWqz2dDr9XWSeBD8Oa6qaoOfsSA4TbhHjx71jh+91rLD4UBV1XrloqKiMBgMJ80sls5AkoFdWEZGRr21jxwOByUlJfXWSjq2HlDv26fc3FxSUlIanBraWbV3H9R+Q9KQzvJhsyPfBx9++CFZWVkNLp4fbu3dD3v37mXgwIF1ykRERNCnTx8OHDjQFpfQah3xXrj++uvZuHEj77//PuvXr+fPf/4zBw4caHC0Rzi0tA9a076qquzbt69N2m8L7d0HXUFH9EEgEOC2225jx44dLFmyhJ49e7ZJu0J0V7XLSxxt9erVDBo0iPvvv5/JkyczYsSIBqf4C9GVmEwmpk2bxsqVKwFYuXIlU6ZMwWKx4Ha7+eKLL7jxxhu59tprycrKYtiwYaiqGuaohfhFdHQ0Xq+3XmKutLQURVGOu0RSQkICZWVl9Y4fvQlIVFQUiqLU2xjE4XDg8XhCX9rWLl907Dqwdru9+RckGiTJwC5s0qRJbNiwoc5/iNWrV6PRaJgwYcJx640ePZrIyEhWrVoVOub1elmzZg2TJk1q9DVrv+EaNmxYK6NvG+3dB1OmTAFg48aNoWMej4dvv/2WIUOGtOWltFhHvQ+2bt3KgQMHOu0U4fbuh5SUFHbt2lXnw5rT6fz/7d15VBXXHQfwr8BDZV8UqxDc30PBB0IKQRMxiFICGvQYRVmMUdS4xKjUWLXEhSRGRQ0QAlJwAUFoFSJu0SRGLaL1WBFbbWuMC6DHKovKIuB70z88b+rI4hPZIt/POTknc7lz5947evj5m7l3cOPGDVhbWzfzaJqmtf4sGBgYQKFQwMLCAllZWRAEQfIl4rbU1Dl4kfb/9a9/SZav5ebmoqysDB4eHi/dfnNo6Tn4NWiNOVi9ejWOHTuG2NhYrfe2IeoIZDKZ1g9MHz16JL6NopGdnd0S3SJqVX5+frh06RJOnjyJvLw8cYlwTU0N1Gq15M99eXk5fvzxx7bqKlEdLi4uAFDnQziHDx/G4MGDG1wJoVQqcebMGcmbg5o4WcPQ0BCDBg2q07bm3yGaa/fo0QMAJA93r169itu3b0vOe5HfOSTFD4j8igUEBCA5ORnz5s3D7NmzcefOHaxfvx4BAQHiXx4AmDZtGm7duiV+Crxz586YPXs2oqOjYWFhAblcjrS0NJSVlWHGjBnieWFhYejduzcGDx4sfkBk+/bt8PLyajfJwJaeA3t7e3h7e+OPf/wjysrK0L17d6SmpuLevXuSem2ppedAIzs7G126dMHo0aNbbWwvoqXnISAgAPPmzUNYWBjeffdd1NTUICkpCTU1NXjvvfdafbz1aek5KCgoQFZWFpRKJQDg9OnT2LlzJz7//PN2s/y0qXMAABcvXkRRUZH4pPLChQsAnixtcHV1BQB4e3sjPj4eCxYswOLFi1FVVYX169dj5MiR4ry0tZaeA+D/weHPP/8MlUolHg8ZMqRdJMdbeg7i4uKwe/du8Yt5eXl54vkDBgyAkZFRK4ySqH3q378/9uzZg/3796N3794wNzdvsO6wYcOwZs0afP311xg6dCiOHz8ueQBL9Gs1bNgwmJmZYfny5TAxMREfrhobG2PIkCFISEiAhYUF9PT0sHXrVhgZGdV5U4qordjZ2WHMmDFYt24dHj16hL59+2Lfvn04f/48YmNjGzxv2rRpSE1NRWhoKEJDQ/HgwQNER0fXWW48f/588d9V48aNw7Vr17B582Z4e3uLD1gdHR3Rs2dPfP7551iyZAnKy8uxdevWOm3V9zvHxsamuafklcRk4K+YqakpduzYgbVr12LevHkwNDTExIkT62xgrlaroVKpJGWhoaEQBAFJSUkoKSnBoEGDkJiYKPlC7MCBA5GdnY2kpCTU1tbC2toac+bMwaxZs1plfNpo6TkAgHXr1mHTpk2IjIxEeXk57O3tsW3btnbzJkhrzIHmH/tvv/12u/1SZkvPg5eXF7Zs2YLExEQsWrQIMpkMgwcPxs6dO9GnT5/WGOJztfQcyGQy/O1vf8OOHTtQW1sLOzs7xMTEiG/QtgcvMwe7du1CZmameJyUlAQAcHV1RXJyMoAnc/CnP/0JERERWLx4MfT09DB69GgsX768hUemvZaeAwBYuHCh5DzN8RdffIEJEyY063iaoqXnICcnBwCQmJiIxMREyfk7d+6Em5tbs4+J6Ndi4sSJyM/Px9q1a1FWVtbo11EDAgJQWFiIlJQUJCYm4s0330RkZCQmTZrUij0man4ymQze3t5IT0/HxIkToa+vL/4sMjIS4eHhWLZsGczMzBAcHIzKykrx9w1Re7BhwwZs2rQJCQkJKCsrQ79+/RAVFQVPT88Gz7GyskJCQgIiIiKwcOFC2NraIjw8HJs3b5bUGzVqFL766it8/fXXmDt3LszMzDBp0iQsWbJErCOTyRATE4NVq1aJbS1fvhzr1q2TtFXf75xn61D9OgncoICIiIiIiIiIiKhD4J6BREREREREREREHQSTgURERERERERERB0Ek4FEREREREREREQdBJOBREREREREREREHQSTgURERERERERERB0Ek4FEREREREREREQdBJOBREREREREREREHQSTgURERERERERERB0Ek4FE1GTR0dFQKBQoKSlp6650eHv37oVCoUBhYWFbd6Vemv5dvHixrbtCREREJFFYWAiFQoG9e/eKZZo4l4joVcRkIBEREREREdFzxMXF4fvvv2/rbhARvTQmA4mIiIiIiIie8uGHHyI/P19SFh8fz2QgEb0SmAwkImoB1dXVUKvVbd2NFqNWq1FdXd3W3SAiIiJqEXp6eujcuXNbd6PZVVVVtXUXiKgdYDKQiF5aaWkpFi5cCGdnZ7i5uSEiIkKSKNqzZw9CQkLg7u4OBwcHvPPOO0hNTa3TzsWLFzFjxgy4ublBqVTC09MTf/jDHyR11Go1tm/fDl9fXwwZMgTDhg1DeHg47t+//0J9Li8vx2effQZPT084ODjA3d0d06dPxz//+U+xTnBwMPz8/PCPf/wDAQEBYp/S0tIkbZ05cwYKhQIHDhzA5s2b8dZbb8HR0RHl5eUAgAsXLmDGjBlwcXGBo6MjgoKCcO7cOUkbRUVFWLVqFby9vaFUKuHm5oaPPvqo3j0Ar1y5gpCQECiVSowYMQKxsbFNSjxq9sK5evVqo/cPABQKBdasWYN9+/aJc3/y5EkAwKVLlzBz5kw4Oztj6NChmDZtGvLy8uq95qNHjxAeHg43Nzc4Oztj6dKlL3zviIiIiIDnx3PaxnL1eXbPQIVCgcrKSmRmZkKhUEChUGDZsmVa9/XAgQOYMGEChg4dCmdnZ4wdOxY7duyQ1CkoKMBHH30EV1dXODo6YtKkSfjpp58kdRraJ1oTj545c0Yse3r8gYGBcHR0xKZNmwA8eXAdHR0Nb29vDBkyBG+++Sbmz5+Pmzdviuc3V9xNRO2PXlt3gIh+/T7++GNYW1tjyZIlyMvLQ3JyMh48eID169cDANLS0jBw4EB4enpCT08Px44dw+rVqyEIAgIDAwEAxcXFmDFjBszNzTFr1iyYmJigsLAQR48elVwrPDwcmZmZmDBhAoKDg1FYWIhdu3bh0qVLSEtLg0wm06rPn376Kb777jsEBQWhf//+KCsrw7lz53D16lXY29uL9e7fv49Zs2bBx8cHvr6+OHToEFatWgWZTIaJEydK2oyNjYVMJsOMGTNQU1MDmUyG3NxchIaGwsHBAfPnz0enTp2wd+9eTJs2DampqVAqlQCeJELPnz8PX19f/OY3v0FRURHS0tIQEhKCAwcOoGvXrgCAu3fvIiQkBCqVCrNmzULXrl2RkZHxUk+un3f/NE6fPo1Dhw4hMDAQ5ubmsLa2xpUrVxAYGAhDQ0PMnDkTenp6SE9PR3BwMFJSUuDo6ChpY82aNTAxMcH8+fNx7do1pKWl4datW0hOTkanTp2aPAYiIiLqeLSJ514klmvM+vXrsXLlSiiVSkyaNAkAYGtrq9W5OTk5WLx4Mdzd3REWFgYA+OWXX/D3v/8d06ZNAwDcu3cPAQEBqKqqQnBwMMzNzZGZmYkPP/wQUVFRGD169ItMjaisrAyhoaHw9fXFuHHjYGlpCZVKhdmzZyM3Nxe+vr4ICQlBRUUFcnJy8J///EccV3PF3UTUDglERE0UFRUlyOVyYc6cOZLyVatWCXK5XLh8+bIgCIJQVVVV59wPPvhAGDVqlHh89OhRQS6XC/n5+Q1e7+zZs4JcLhf27dsnKT9x4kS95Y1xcXERVq9e3WidoKAgQS6XC0lJSWJZdXW18O677wru7u5CTU2NIAiCcPr0aUEulwujRo2SjFWtVgtjxowRPvjgA0GtVovlVVVVgqenpzB9+nRJ2bPOnz8vyOVyITMzUyz77LPPBLlcLly4cEEsKy4uFlxcXAS5XC4UFBRoPQfa3j9BEAS5XC7Y2dkJV65ckdSdO3euYG9vL9y8eVMsu3PnjjB06FAhMDBQLNuzZ48gl8uF8ePHi/MmCIKQkJAgyOVy4fvvv9e630RERESC8Px4TttYrqCgQJDL5cKePXvEepo46WlOTk7CJ5988sL9jIiIEJydnYXHjx83WEcT4509e1YsKy8vFzw9PYW3335bUKlUgiD8P6Z6NubTxKOnT5+uM/60tDRJ3b/85S+CXC4Xtm3bVqcfmpi1OeNuImp/uEyYiF6a5u0+jaCgIADAiRMnAABdunQRf/bw4UOUlJTA1dUVBQUFePjwIQDA2NgYAPDTTz+htra23uscPnwYxsbGGD58OEpKSsT/7O3tYWBgIFkW8TwmJia4cOEC7ty502g9PT09TJ48WTzW19fH5MmTUVxcLFlSDAD+/v6SsV6+fBnXr1/H2LFjUVpaKva3srIS7u7uOHv2rLi89+nzamtrUVpaCltbW5iYmODSpUviz44fPw4nJyfxjUIAsLCwwNixY7Ue+7Oed/80fvvb32LAgAHisUqlQk5ODry8vPDaa6+J5VZWVvDz88O5c+fEpdIakydPljxFnjJlCvT09HD8+PEm95+IiIg6Jm3iuReJ5VqKiYkJqqqqkJOT02Cd48ePQ6lU4vXXXxfLDA0NMXnyZBQVFeHnn39u0rX19fUxYcIESdmRI0dgbm4uxnxP06zUaM64m4jaHy4TJqKX1rt3b8mxra0tdHR0xL1Mzp07h+joaOTl5dXZtPjhw4cwNjaGq6srvL29ERMTg+3bt8PV1RVeXl4YO3Ys9PX1AQA3btzAw4cP4e7uXm8/iouLte5zWFgYli1bhpEjR8Le3h4eHh7w9/eXJLWAJ4ktAwMDSVmfPn0APNnnz8nJSSy3sbGR1Lt+/ToA4JNPPmmwHw8fPoSpqSkePXqE+Ph47N27F3fu3IEgCJI6Grdu3aqz9BYA+vbt2+h4G/O8+6fx7PhKSkpQVVVV77X79+8PtVqN27dvY+DAgQ1ey9DQEN27d0dRUVGT+09EREQdkzbx3IvEci1l6tSpOHToEEJDQ9GjRw8MHz4cPj4+GDFihFinoRivX79+4s/lcvkLX7tHjx5iLK1x8+ZN9O3bF3p6DacDmjPuJqL2h8lAImp2T+/9dvPmTbz//vvo168fli1bhp49e0Imk+H48ePYvn27+GZcp06dEBUVhby8PBw7dgwnT57E8uXLsW3bNqSnp8PQ0BBqtRqWlpbYuHFjvde1sLDQuo/vvPMOXn/9dRw9ehQ5OTlITExEQkICoqOj4eHh0aRxP/12HwAxobd06VIMGjSo3nM0wenatWvFvQSdnJxgbGyMTp06YdGiRZLEYGtoaO++Z8dHRERE1JZaIp5rCZaWlsjKysJf//pXnDhxAidOnMDevXvh7++PL7/88oXaaihOa+hjck2N35oz7iai9ofJQCJ6aTdu3JA8gb1x4wbUajVsbGzw448/oqamBt988w169eol1mloaYGTkxOcnJywaNEiZGdnIywsDAcPHsR7770HW1tb5ObmwtnZuVkSU1ZWVggMDERgYCCKi4sxfvx4xMXFSYLH//73v6isrJQ8Uda88Wdtbd1o+5o5MTIywrBhwxqt+91338Hf31/yVbrq6mrJW4EA0KtXL9y4caPO+deuXWu0/cY0dv8aY2Fhga5du9Z77V9++QU6Ojro2bNnnWu98cYb4nFFRQXu3r0reTJOREREpK3nxXMvE8s1J319fXh6esLT0xNqtRqrVq1Ceno65s6di969e6NXr14NxlQAxDjaxMQEAOrEiC+yysLW1hYXLlxAbW1tgx8Bae64m4jaF+4ZSEQvbdeuXZLjlJQUAMCIESOgq6sLAHWWve7Zs0dyzv379+u8Aad5m66mpgYA4OPjA5VKhdjY2Dp9ePz4MR48eKBVf1UqVZ0AytLSElZWVuK1nm43PT1dPK6pqUF6ejosLCwkXx2uj4ODA2xtbZGUlISKioo6Py8pKRH/XzNPT0tOToZKpZKUeXh4IC8vD/n5+ZJ2srOzG+1LYxq7f43R1dXF8OHD8cMPP0iWFN+7dw/79++Hi4sLjIyMJOekp6dL9oRMS0vD48ePmQwkIiKiF6JtPPcysdyzDAwMtI43n1ZaWio51tHRgUKhEPsDPInx8vPzcf78ebFeZWUlMjIyYG1tLe7brPnS79mzZ8V6KpUKGRkZWvdnzJgxKC0trRMDAv+P2Zsr7iai9olvBhLRSyssLMScOXPw1ltvIS8vD/v27YOfnx/s7Oygr68PmUyGOXPmICAgABUVFfjzn/8MS0tL3L17V2wjMzMTaWlp8PLygq2tLSoqKpCRkQEjIyMxUeTq6orJkycjPj4ely9fxvDhwyGTyXD9+nUcPnwYK1aswO9+97vn9reiogIeHh7w9vaGnZ0dDAwMcOrUKVy8eFHyZh7w5GlzQkICioqK0KdPHxw8eBCXL1/G2rVrG3ySqqGjo4OIiAiEhobCz88PEyZMQI8ePXDnzh2cOXMGRkZGiIuLAwCMHDkS3377LYyMjDBgwADk5eXh1KlTMDMzk7Q5c+ZMfPvtt5g5cyZCQkLQtWtXZGRkoFevXvj3v/+tze2qo7H79zwff/wxTp06halTp2Lq1KnQ1dVFeno6ampq8Pvf/75O/draWrz//vvw8fHBtWvXkJqaChcXF4waNapJfSciIqKOSdt47mViuWfZ29sjNzcX27Ztg5WVFWxsbOrd5+9ZK1euxP379/HGG2+gR48euHXrFlJSUjBo0CD0798fADBr1iwcOHAAoaGhCA4OhqmpKbKyslBYWIjo6Gjo6Dx5j2fgwIFwcnLCpk2bcP/+fZiamuLgwYN4/Pix1uPw9/dHVlYWvvjiC+Tn58PFxQVVVVXIzc3FlClT4OXl1WxxNxG1T0wGEtFL27JlC7766itERkZCT08PQUFBWLp0KYAnmx5HRUVhy5Yt+PLLL9GtWzdMmTIFFhYWWL58udiGq6srLl68iIMHD+LevXswNjaGUqnExo0bJUtY16xZAwcHB+zevRubN2+Grq4urK2tMW7cODg7O2vV3y5dumDKlCnIycnBkSNHIAgCbG1t8emnn2Lq1KmSuqampli3bh0iIiKQkZGBbt26ITw8HJMmTdLqWm5ubkhPT0dsbCxSUlJQWVmJ7t27Q6lUSr5st2LFCujo6CA7OxvV1dVwdnbGtm3bMHPmTEl7VlZW2LlzJyIiIrB161aYmZkhICAAVlZWWLFihVZ9elZj9+95Bg4ciF27diEyMhLx8fEQBAFKpRIbNmyoNzgODw9HdnY2oqKiUFtbC19fX6xcubLB/W+IiIiI6qNtPPeysdzTli1bhvDwcGzZsgWPHj3C+PHjtUoGjhs3DhkZGUhNTcWDBw/QvXt3+Pj4YMGCBWKSr1u3bti9ezc2bNiAlJQUVFdXQ6FQIC4uDiNHjpS0t3HjRoSHh2Pr1q0wMTHBxIkT4ebmhunTp2s1Dl1dXSQkJOCbb77B/v37ceTIEZiZmcHZ2Vl8YxFonribiNqnTkJr70xPRPQrERwcjNLSUuzfv7+tu9IioqOjERMTg9zcXG4CTURERK+cVz2WIyJqKu4ZSERERERERERE1EFwmTARvVIqKipQWVnZaB0LC4t6P9jxqtB2DoiIiIio6VQqleSDcPUxMDCAoaFhK/WIiEg7TAYS0SslKSkJMTExjdb54YcfYGNj00o9an3azgERERERNd3t27ef+xG0+fPnY8GCBa3UIyIi7XDPQCJ6pRQUFKCgoKDROi4uLujcuXMr9aj1cQ6IiIiIWl51dTXOnTvXaJ3XXntN8jE8IqL2gMlAIiIiIiIiIiKiDoIfECEiIiIiIiIiIuogmAwkIiIiIiIiIiLqIJgMJCIiIiIiIiIi6iCYDCQiIiIiIiIiIuogmAwkIiIiIiIiIiLqIJgMJCIiIiIiIiIi6iCYDCQiIiIiIiIiIuogmAwkIiIiIiIiIiLqIP4HTSJ83Ns+raYAAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "{'column': 'base_spread_prob',\n", + " 'kde_used': True,\n", + " 'status': \"ok | excluded from density/KDE: ['holdout']\"}" + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "plot_numeric_column(\n", + " df,\n", + " 'base_spread_prob',\n", + " group_col=\"split_source\",\n", + " min_points_for_kde=5,\n", + " clip_percentiles=(0.01, 0.99),\n", + " log_x=False\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "e74f1dfc-ff05-4df6-81e9-ae9191e109d7", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "{'column': 'wind_strength',\n", + " 'kde_used': True,\n", + " 'status': \"ok | excluded from density/KDE: ['holdout']\"}" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "plot_numeric_column(\n", + " df,\n", + " 'wind_strength',\n", + " group_col=\"split_source\",\n", + " min_points_for_kde=5,\n", + " clip_percentiles=(0.01, 0.99),\n", + " log_x=False\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "id": "3aca8bf1-82b2-4378-9850-cfe3c8540dba", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "{'column': 'spread_rate_1h_m',\n", + " 'kde_used': True,\n", + " 'status': \"ok | excluded from density/KDE: ['holdout']\"}" + ] + }, + "execution_count": 50, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "plot_numeric_column(\n", + " df,\n", + " 'spread_rate_1h_m',\n", + " group_col=\"split_source\",\n", + " min_points_for_kde=5,\n", + " clip_percentiles=(0.01, 0.99),\n", + " log_x=True,\n", + " exclude_groups_from_density=(\"holdout\",)\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "id": "84a6995d-88ec-45bc-bd6c-d1912b10dfee", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "{'column': 'spread_score',\n", + " 'kde_used': True,\n", + " 'status': \"ok | excluded from density/KDE: ['holdout']\"}" + ] + }, + "execution_count": 40, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "plot_numeric_column(\n", + " df,\n", + " 'spread_score',\n", + " group_col=\"split_source\",\n", + " min_points_for_kde=5,\n", + " clip_percentiles=(0.01, 0.99),\n", + " log_x=False\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "id": "d600680a-875d-434b-ba35-34445ee6eb21", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "{'column': 'weather_score',\n", + " 'kde_used': True,\n", + " 'status': \"ok | excluded from density/KDE: ['holdout']\"}" + ] + }, + "execution_count": 41, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "plot_numeric_column(\n", + " df,\n", + " 'weather_score',\n", + " group_col=\"split_source\",\n", + " min_points_for_kde=5,\n", + " clip_percentiles=(0.01, 0.99),\n", + " log_x=False\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "id": "0dca6526-595d-4669-bc37-bb15d5bac69a", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "{'column': 'size_factor',\n", + " 'kde_used': True,\n", + " 'status': \"ok | excluded from density/KDE: ['holdout']\"}" + ] + }, + "execution_count": 42, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "plot_numeric_column(\n", + " df,\n", + " 'size_factor',\n", + " group_col=\"split_source\",\n", + " min_points_for_kde=5,\n", + " clip_percentiles=(0.01, 0.99),\n", + " log_x=False\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "id": "3954544a-ff41-414c-9358-a6ecc99b6048", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "{'column': 'fire_type_factor',\n", + " 'kde_used': True,\n", + " 'status': \"ok | excluded from density/KDE: ['holdout']\"}" + ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "plot_numeric_column(\n", + " df,\n", + " 'fire_type_factor',\n", + " group_col=\"split_source\",\n", + " min_points_for_kde=5,\n", + " clip_percentiles=(0.01, 0.99),\n", + " log_x=False\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "id": "66375e7f-db4b-4418-87cd-0ebc2cf22ffb", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "{'column': 'fuel_factor',\n", + " 'kde_used': True,\n", + " 'status': \"ok | excluded from density/KDE: ['holdout']\"}" + ] + }, + "execution_count": 44, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "plot_numeric_column(\n", + " df,\n", + " 'fuel_factor',\n", + " group_col=\"split_source\",\n", + " min_points_for_kde=5,\n", + " clip_percentiles=(0.01, 0.99),\n", + " log_x=False\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "id": "2f73e288-2d68-4199-ac26-e92af576ca71", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "{'column': 'rain_factor',\n", + " 'kde_used': True,\n", + " 'status': \"ok | excluded from density/KDE: ['holdout']\"}" + ] + }, + "execution_count": 45, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "plot_numeric_column(\n", + " df,\n", + " 'rain_factor',\n", + " group_col=\"split_source\",\n", + " min_points_for_kde=5,\n", + " clip_percentiles=(0.01, 0.99),\n", + " log_x=False\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "id": "b318d05e", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, axes = plt.subplots(1, 3, figsize=(16, 4))\n", + "sns.countplot(data=df, x=\"severity_bucket\", hue=\"split_source\", ax=axes[0])\n", + "axes[0].set_title(\"Severity bucket by split\")\n", + "sns.countplot(data=df, x=\"wind_direction\", hue=\"split_source\", ax=axes[1])\n", + "axes[1].set_title(\"Wind direction by split\")\n", + "sns.countplot(data=df, x=\"record_quality_flag\", hue=\"split_source\", ax=axes[2])\n", + "axes[2].set_title(\"Record quality flag by split\")\n", + "for ax in axes:\n", + " ax.tick_params(axis=\"x\", rotation=45)\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "id": "64b3f8d3", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "spread_rate_1h_m 1926\n", + "base_spread_prob 1372\n", + "spread_score 1366\n", + "wind_strength 728\n", + "weather_score 367\n", + "cffdrs_dryness_score 0\n", + "size_factor 0\n", + "fire_type_factor 0\n", + "fuel_factor 0\n", + "rain_factor 0\n", + "dtype: int64" + ] + }, + "execution_count": 47, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "def iqr_outlier_mask(series: pd.Series) -> pd.Series:\n", + " q1 = series.quantile(0.25)\n", + " q3 = series.quantile(0.75)\n", + " iqr = q3 - q1\n", + " if iqr == 0 or np.isnan(iqr):\n", + " return pd.Series(False, index=series.index)\n", + " lo = q1 - 1.5 * iqr\n", + " hi = q3 + 1.5 * iqr\n", + " return (series < lo) | (series > hi)\n", + "\n", + "outlier_flags = pd.DataFrame(index=df.index)\n", + "for col in NUMERIC_COLUMNS:\n", + " if col in df.columns:\n", + " outlier_flags[col] = iqr_outlier_mask(pd.to_numeric(df[col], errors=\"coerce\"))\n", + "\n", + "df_outliers = df[outlier_flags.any(axis=1)].copy()\n", + "df_outliers[\"outlier_feature_count\"] = outlier_flags.sum(axis=1)\n", + "outlier_summary = outlier_flags.sum().sort_values(ascending=False)\n", + "outlier_summary" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "id": "82df6535", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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record_idfire_idsplitsplit_sourceseverity_bucketwind_directionoutlier_feature_countbase_spread_probwind_strengthspread_rate_1h_mspread_scoreweather_scorecffdrs_dryness_scoresize_factorfire_type_factorfuel_factorrain_factor
532AB-2013-LWF127__20130819AB-2013-LWF127traintrainlowW50.09620.6000300.00.31210.79080.00.95071.001.121.0
215AB-2011-SWF065__20110514AB-2011-SWF065traintrainmediumSE50.14000.6000600.00.55570.90100.00.95041.181.121.0
539AB-2006-MWF070__20060627AB-2006-MWF070traintrainmediumSW50.10770.5125300.00.37630.82110.00.95071.181.121.0
1169AB-2011-SWF052__20110514AB-2011-SWF052traintrainlowSE50.09040.6000240.00.27980.83990.00.95001.001.061.0
573AB-2018-CWF006__20180428AB-2018-CWF006traintrainlowE50.09840.6000300.00.32430.84660.00.95041.001.121.0
579AB-2015-PWF004__20150416AB-2015-PWF004traintrainlowNW50.09070.6000300.00.28160.80680.00.95041.001.001.0
845AB-2021-RWF070__20210723AB-2021-RWF070traintrainlowSE50.08460.4750300.00.24770.78190.00.95000.801.121.0
1772AB-2006-MWF064__20060627AB-2006-MWF064traintrainlowSW50.09620.5125180.00.31220.82110.00.95001.181.121.0
1773AB-2006-MWF062__20060627AB-2006-MWF062traintrainlowSW50.09620.5125180.00.31220.82110.00.95001.181.121.0
1196AB-2011-SWF088__20110516AB-2011-SWF088traintrainmediumSW50.12180.6000180.00.45460.85980.01.10001.181.121.0
1687AB-2018-HWF053__20180512AB-2018-HWF053traintrainlowNW50.08370.5375180.00.24270.85370.00.95001.001.001.0
835AB-2006-GWF027__20060425AB-2006-GWF027traintrainlowW50.09060.4750300.00.28080.80410.00.95001.001.001.0
1744AB-2020-HWF044__20200804AB-2020-HWF044traintrainlowSW50.08460.4750180.00.24800.74710.00.95001.001.121.0
659AB-2010-GWF151__20101010AB-2010-GWF151traintrainlowW50.09070.6000300.00.28150.80680.00.95021.001.001.0
584AB-2012-PWF035__20120513AB-2012-PWF035traintrainlowW50.08920.4750300.00.27350.76630.00.95041.001.001.0
1660AB-2011-SWF056__20110514AB-2011-SWF056traintrainlowSE50.09750.5625180.00.31920.84760.00.95001.181.121.0
1223AB-2011-SWF080__20110515AB-2011-SWF080traintrainlowSE50.08810.5000180.00.26710.76920.00.95071.181.001.0
134AB-2015-MWF101__20150626AB-2015-MWF101traintrainmediumNW50.12910.6000720.00.49500.76900.00.95021.001.121.0
1592AB-2008-GWF013__20080416AB-2008-GWF013traintrainlowE50.08340.6000180.00.24110.77710.00.95001.001.061.0
1603AB-2016-RWF014__20160409AB-2016-RWF014traintrainlowNW50.08080.5375180.00.22680.77410.00.95001.001.001.0
125AB-2011-SWF086__20110515AB-2011-SWF086traintrainhighSE50.16600.6000900.00.70000.84840.00.95001.181.121.0
1617AB-2011-SWF058__20110514AB-2011-SWF058traintrainlowS50.09050.6000180.00.28040.89180.00.95001.001.121.0
1248AB-2011-SWF077__20110515AB-2011-SWF077traintrainlowE50.08950.6000180.00.27480.86550.00.95041.001.121.0
791AB-2013-HWF062__20130621AB-2013-HWF062traintrainlowNW50.09530.5375300.00.30700.77040.00.95011.001.121.0
1622AB-2007-MWF044__20070714AB-2007-MWF044traintrainlowE50.08470.4750180.00.24820.74780.00.95001.001.121.0
117AB-2011-SWF066__20110514AB-2011-SWF066traintrainhighSE50.16150.4750900.00.67520.75400.00.95011.181.121.0
777AB-2015-PWF018__20150429AB-2015-PWF018traintrainlowW50.09660.6000300.00.31440.80340.00.95011.001.121.0
742AB-2011-WWF020__20110514AB-2011-WWF020traintrainlowNW50.08270.6000300.00.23710.88130.00.95010.801.001.0
144AB-2010-HWF223__20101010AB-2010-HWF223traintrainmediumSW50.11500.5375600.00.41670.80860.00.97251.001.001.0
414AB-2008-HWF137__20080629AB-2008-HWF137traintrainlowSW50.09200.4750420.00.28870.77090.00.95010.801.121.0
412AB-2015-SWF050__20150515AB-2015-SWF050traintrainlowSW50.09160.4750420.00.28650.75140.00.95011.001.000.9
953AB-2016-PWF009__20160418AB-2016-PWF009traintrainlowS50.09450.6000300.00.30280.91400.00.95001.001.001.0
408AB-2015-LWF111__20150516AB-2015-LWF111traintrainlowN50.08730.5500420.00.26280.80180.00.95010.801.001.0
356AB-2011-MWF008__20110515AB-2011-MWF008traintrainmediumW50.12080.5375480.00.44890.82830.00.95191.181.061.0
483AB-2017-RWF078__20171017AB-2017-RWF078traintrainlowW50.09700.5375300.00.31660.78830.00.95751.001.121.0
455AB-2018-SWF053__20180528AB-2018-SWF053traintrainmediumW50.11400.6000360.00.41090.83450.00.95011.181.121.0
364AB-2011-MWF007__20110514AB-2011-MWF007traintrainmediumSE50.12850.6000480.00.49150.89850.00.95031.181.121.0
359AB-2018-MWF095__20180818AB-2018-MWF095traintrainlowW50.09650.6000480.00.31410.79020.00.95070.801.121.0
18361AB-2023-CWF003__20230501AB-2023-CWF003valvallowE50.09050.5375240.00.28050.84290.00.95001.001.061.0
18285AB-2023-PWF025__20230503AB-2023-PWF025valvalmediumN50.11450.5375600.00.41360.86760.00.95011.001.001.0
18256AB-2023-WWF023__20230505AB-2023-WWF023valvalhighSE50.19240.47501200.00.84650.79740.00.95151.181.121.0
308AB-2015-MWF072__20150624AB-2015-MWF072traintrainmediumNW50.12250.6000600.00.45830.84560.00.95001.001.121.0
219AB-2008-GWF062__20080622AB-2008-GWF062traintrainmediumW50.13640.5625600.00.53540.82450.00.95041.181.121.0
1052AB-2012-LWF055__20120512AB-2012-LWF055traintrainlowW50.09310.6000240.00.29500.83610.00.95031.001.121.0
1053AB-2011-SWF070__20110515AB-2011-SWF070traintrainmediumSE50.10510.6000240.00.36150.88680.00.95031.181.121.0
328AB-2011-LWF119__20110512AB-2011-LWF119traintrainmediumSE50.11100.6000600.00.39440.77200.00.95001.001.001.0
494AB-2011-SWF082__20110515AB-2011-SWF082traintrainmediumSE50.10730.6000300.00.37400.80750.00.95221.181.121.0
299AB-2013-RWF020__20130512AB-2013-RWF020traintrainmediumW50.10720.6000600.00.37330.88290.00.95010.801.121.0
298AB-2013-RWF044__20130521AB-2013-RWF044traintrainmediumSE50.11070.4750600.00.39290.76410.00.95011.001.001.0
1081AB-2011-WWF021__20110514AB-2011-WWF021traintrainlowNW50.08190.6000240.00.23260.89120.00.95010.801.061.0
\n", + "
" + ], + "text/plain": [ + " record_id fire_id split split_source \\\n", + "532 AB-2013-LWF127__20130819 AB-2013-LWF127 train train \n", + "215 AB-2011-SWF065__20110514 AB-2011-SWF065 train train \n", + "539 AB-2006-MWF070__20060627 AB-2006-MWF070 train train \n", + "1169 AB-2011-SWF052__20110514 AB-2011-SWF052 train train \n", + "573 AB-2018-CWF006__20180428 AB-2018-CWF006 train train \n", + "579 AB-2015-PWF004__20150416 AB-2015-PWF004 train train \n", + "845 AB-2021-RWF070__20210723 AB-2021-RWF070 train train \n", + "1772 AB-2006-MWF064__20060627 AB-2006-MWF064 train train \n", + "1773 AB-2006-MWF062__20060627 AB-2006-MWF062 train train \n", + "1196 AB-2011-SWF088__20110516 AB-2011-SWF088 train train \n", + "1687 AB-2018-HWF053__20180512 AB-2018-HWF053 train train \n", + "835 AB-2006-GWF027__20060425 AB-2006-GWF027 train train \n", + "1744 AB-2020-HWF044__20200804 AB-2020-HWF044 train train \n", + "659 AB-2010-GWF151__20101010 AB-2010-GWF151 train train \n", + "584 AB-2012-PWF035__20120513 AB-2012-PWF035 train train \n", + "1660 AB-2011-SWF056__20110514 AB-2011-SWF056 train train \n", + "1223 AB-2011-SWF080__20110515 AB-2011-SWF080 train train \n", + "134 AB-2015-MWF101__20150626 AB-2015-MWF101 train train \n", + "1592 AB-2008-GWF013__20080416 AB-2008-GWF013 train train \n", + "1603 AB-2016-RWF014__20160409 AB-2016-RWF014 train train \n", + "125 AB-2011-SWF086__20110515 AB-2011-SWF086 train train \n", + "1617 AB-2011-SWF058__20110514 AB-2011-SWF058 train train \n", + "1248 AB-2011-SWF077__20110515 AB-2011-SWF077 train train \n", + "791 AB-2013-HWF062__20130621 AB-2013-HWF062 train train \n", + "1622 AB-2007-MWF044__20070714 AB-2007-MWF044 train train \n", + "117 AB-2011-SWF066__20110514 AB-2011-SWF066 train train \n", + "777 AB-2015-PWF018__20150429 AB-2015-PWF018 train train \n", + "742 AB-2011-WWF020__20110514 AB-2011-WWF020 train train \n", + "144 AB-2010-HWF223__20101010 AB-2010-HWF223 train train \n", + "414 AB-2008-HWF137__20080629 AB-2008-HWF137 train train \n", + "412 AB-2015-SWF050__20150515 AB-2015-SWF050 train train \n", + "953 AB-2016-PWF009__20160418 AB-2016-PWF009 train train \n", + "408 AB-2015-LWF111__20150516 AB-2015-LWF111 train train \n", + "356 AB-2011-MWF008__20110515 AB-2011-MWF008 train train \n", + "483 AB-2017-RWF078__20171017 AB-2017-RWF078 train train \n", + "455 AB-2018-SWF053__20180528 AB-2018-SWF053 train train \n", + "364 AB-2011-MWF007__20110514 AB-2011-MWF007 train train \n", + "359 AB-2018-MWF095__20180818 AB-2018-MWF095 train train \n", + "18361 AB-2023-CWF003__20230501 AB-2023-CWF003 val val \n", + "18285 AB-2023-PWF025__20230503 AB-2023-PWF025 val val \n", + "18256 AB-2023-WWF023__20230505 AB-2023-WWF023 val val \n", + "308 AB-2015-MWF072__20150624 AB-2015-MWF072 train train \n", + "219 AB-2008-GWF062__20080622 AB-2008-GWF062 train train \n", + "1052 AB-2012-LWF055__20120512 AB-2012-LWF055 train train \n", + "1053 AB-2011-SWF070__20110515 AB-2011-SWF070 train train \n", + "328 AB-2011-LWF119__20110512 AB-2011-LWF119 train train \n", + "494 AB-2011-SWF082__20110515 AB-2011-SWF082 train train \n", + "299 AB-2013-RWF020__20130512 AB-2013-RWF020 train train \n", + "298 AB-2013-RWF044__20130521 AB-2013-RWF044 train train \n", + "1081 AB-2011-WWF021__20110514 AB-2011-WWF021 train train \n", + "\n", + " severity_bucket wind_direction outlier_feature_count base_spread_prob \\\n", + "532 low W 5 0.0962 \n", + "215 medium SE 5 0.1400 \n", + "539 medium SW 5 0.1077 \n", + "1169 low SE 5 0.0904 \n", + "573 low E 5 0.0984 \n", + "579 low NW 5 0.0907 \n", + "845 low SE 5 0.0846 \n", + "1772 low SW 5 0.0962 \n", + "1773 low SW 5 0.0962 \n", + "1196 medium SW 5 0.1218 \n", + "1687 low NW 5 0.0837 \n", + "835 low W 5 0.0906 \n", + "1744 low SW 5 0.0846 \n", + "659 low W 5 0.0907 \n", + "584 low W 5 0.0892 \n", + "1660 low SE 5 0.0975 \n", + "1223 low SE 5 0.0881 \n", + "134 medium NW 5 0.1291 \n", + "1592 low E 5 0.0834 \n", + "1603 low NW 5 0.0808 \n", + "125 high SE 5 0.1660 \n", + "1617 low S 5 0.0905 \n", + "1248 low E 5 0.0895 \n", + "791 low NW 5 0.0953 \n", + "1622 low E 5 0.0847 \n", + "117 high SE 5 0.1615 \n", + "777 low W 5 0.0966 \n", + "742 low NW 5 0.0827 \n", + "144 medium SW 5 0.1150 \n", + "414 low SW 5 0.0920 \n", + "412 low SW 5 0.0916 \n", + "953 low S 5 0.0945 \n", + "408 low N 5 0.0873 \n", + "356 medium W 5 0.1208 \n", + "483 low W 5 0.0970 \n", + "455 medium W 5 0.1140 \n", + "364 medium SE 5 0.1285 \n", + "359 low W 5 0.0965 \n", + "18361 low E 5 0.0905 \n", + "18285 medium N 5 0.1145 \n", + "18256 high SE 5 0.1924 \n", + "308 medium NW 5 0.1225 \n", + "219 medium W 5 0.1364 \n", + "1052 low W 5 0.0931 \n", + "1053 medium SE 5 0.1051 \n", + "328 medium SE 5 0.1110 \n", + "494 medium SE 5 0.1073 \n", + "299 medium W 5 0.1072 \n", + "298 medium SE 5 0.1107 \n", + "1081 low NW 5 0.0819 \n", + "\n", + " wind_strength spread_rate_1h_m spread_score weather_score \\\n", + "532 0.6000 300.0 0.3121 0.7908 \n", + "215 0.6000 600.0 0.5557 0.9010 \n", + "539 0.5125 300.0 0.3763 0.8211 \n", + "1169 0.6000 240.0 0.2798 0.8399 \n", + "573 0.6000 300.0 0.3243 0.8466 \n", + "579 0.6000 300.0 0.2816 0.8068 \n", + "845 0.4750 300.0 0.2477 0.7819 \n", + "1772 0.5125 180.0 0.3122 0.8211 \n", + "1773 0.5125 180.0 0.3122 0.8211 \n", + "1196 0.6000 180.0 0.4546 0.8598 \n", + "1687 0.5375 180.0 0.2427 0.8537 \n", + "835 0.4750 300.0 0.2808 0.8041 \n", + "1744 0.4750 180.0 0.2480 0.7471 \n", + "659 0.6000 300.0 0.2815 0.8068 \n", + "584 0.4750 300.0 0.2735 0.7663 \n", + "1660 0.5625 180.0 0.3192 0.8476 \n", + "1223 0.5000 180.0 0.2671 0.7692 \n", + "134 0.6000 720.0 0.4950 0.7690 \n", + "1592 0.6000 180.0 0.2411 0.7771 \n", + "1603 0.5375 180.0 0.2268 0.7741 \n", + "125 0.6000 900.0 0.7000 0.8484 \n", + "1617 0.6000 180.0 0.2804 0.8918 \n", + "1248 0.6000 180.0 0.2748 0.8655 \n", + "791 0.5375 300.0 0.3070 0.7704 \n", + "1622 0.4750 180.0 0.2482 0.7478 \n", + "117 0.4750 900.0 0.6752 0.7540 \n", + "777 0.6000 300.0 0.3144 0.8034 \n", + "742 0.6000 300.0 0.2371 0.8813 \n", + "144 0.5375 600.0 0.4167 0.8086 \n", + "414 0.4750 420.0 0.2887 0.7709 \n", + "412 0.4750 420.0 0.2865 0.7514 \n", + "953 0.6000 300.0 0.3028 0.9140 \n", + "408 0.5500 420.0 0.2628 0.8018 \n", + "356 0.5375 480.0 0.4489 0.8283 \n", + "483 0.5375 300.0 0.3166 0.7883 \n", + "455 0.6000 360.0 0.4109 0.8345 \n", + "364 0.6000 480.0 0.4915 0.8985 \n", + "359 0.6000 480.0 0.3141 0.7902 \n", + "18361 0.5375 240.0 0.2805 0.8429 \n", + "18285 0.5375 600.0 0.4136 0.8676 \n", + "18256 0.4750 1200.0 0.8465 0.7974 \n", + "308 0.6000 600.0 0.4583 0.8456 \n", + "219 0.5625 600.0 0.5354 0.8245 \n", + "1052 0.6000 240.0 0.2950 0.8361 \n", + "1053 0.6000 240.0 0.3615 0.8868 \n", + "328 0.6000 600.0 0.3944 0.7720 \n", + "494 0.6000 300.0 0.3740 0.8075 \n", + "299 0.6000 600.0 0.3733 0.8829 \n", + "298 0.4750 600.0 0.3929 0.7641 \n", + "1081 0.6000 240.0 0.2326 0.8912 \n", + "\n", + " cffdrs_dryness_score size_factor fire_type_factor fuel_factor \\\n", + "532 0.0 0.9507 1.00 1.12 \n", + "215 0.0 0.9504 1.18 1.12 \n", + "539 0.0 0.9507 1.18 1.12 \n", + "1169 0.0 0.9500 1.00 1.06 \n", + "573 0.0 0.9504 1.00 1.12 \n", + "579 0.0 0.9504 1.00 1.00 \n", + "845 0.0 0.9500 0.80 1.12 \n", + "1772 0.0 0.9500 1.18 1.12 \n", + "1773 0.0 0.9500 1.18 1.12 \n", + "1196 0.0 1.1000 1.18 1.12 \n", + "1687 0.0 0.9500 1.00 1.00 \n", + "835 0.0 0.9500 1.00 1.00 \n", + "1744 0.0 0.9500 1.00 1.12 \n", + "659 0.0 0.9502 1.00 1.00 \n", + "584 0.0 0.9504 1.00 1.00 \n", + "1660 0.0 0.9500 1.18 1.12 \n", + "1223 0.0 0.9507 1.18 1.00 \n", + "134 0.0 0.9502 1.00 1.12 \n", + "1592 0.0 0.9500 1.00 1.06 \n", + "1603 0.0 0.9500 1.00 1.00 \n", + "125 0.0 0.9500 1.18 1.12 \n", + "1617 0.0 0.9500 1.00 1.12 \n", + "1248 0.0 0.9504 1.00 1.12 \n", + "791 0.0 0.9501 1.00 1.12 \n", + "1622 0.0 0.9500 1.00 1.12 \n", + "117 0.0 0.9501 1.18 1.12 \n", + "777 0.0 0.9501 1.00 1.12 \n", + "742 0.0 0.9501 0.80 1.00 \n", + "144 0.0 0.9725 1.00 1.00 \n", + "414 0.0 0.9501 0.80 1.12 \n", + "412 0.0 0.9501 1.00 1.00 \n", + "953 0.0 0.9500 1.00 1.00 \n", + "408 0.0 0.9501 0.80 1.00 \n", + "356 0.0 0.9519 1.18 1.06 \n", + "483 0.0 0.9575 1.00 1.12 \n", + "455 0.0 0.9501 1.18 1.12 \n", + "364 0.0 0.9503 1.18 1.12 \n", + "359 0.0 0.9507 0.80 1.12 \n", + "18361 0.0 0.9500 1.00 1.06 \n", + "18285 0.0 0.9501 1.00 1.00 \n", + "18256 0.0 0.9515 1.18 1.12 \n", + "308 0.0 0.9500 1.00 1.12 \n", + "219 0.0 0.9504 1.18 1.12 \n", + "1052 0.0 0.9503 1.00 1.12 \n", + "1053 0.0 0.9503 1.18 1.12 \n", + "328 0.0 0.9500 1.00 1.00 \n", + "494 0.0 0.9522 1.18 1.12 \n", + "299 0.0 0.9501 0.80 1.12 \n", + "298 0.0 0.9501 1.00 1.00 \n", + "1081 0.0 0.9501 0.80 1.06 \n", + "\n", + " rain_factor \n", + "532 1.0 \n", + "215 1.0 \n", + "539 1.0 \n", + "1169 1.0 \n", + "573 1.0 \n", + "579 1.0 \n", + "845 1.0 \n", + "1772 1.0 \n", + "1773 1.0 \n", + "1196 1.0 \n", + "1687 1.0 \n", + "835 1.0 \n", + "1744 1.0 \n", + "659 1.0 \n", + "584 1.0 \n", + "1660 1.0 \n", + "1223 1.0 \n", + "134 1.0 \n", + "1592 1.0 \n", + "1603 1.0 \n", + "125 1.0 \n", + "1617 1.0 \n", + "1248 1.0 \n", + "791 1.0 \n", + "1622 1.0 \n", + "117 1.0 \n", + "777 1.0 \n", + "742 1.0 \n", + "144 1.0 \n", + "414 1.0 \n", + "412 0.9 \n", + "953 1.0 \n", + "408 1.0 \n", + "356 1.0 \n", + "483 1.0 \n", + "455 1.0 \n", + "364 1.0 \n", + "359 1.0 \n", + "18361 1.0 \n", + "18285 1.0 \n", + "18256 1.0 \n", + "308 1.0 \n", + "219 1.0 \n", + "1052 1.0 \n", + "1053 1.0 \n", + "328 1.0 \n", + "494 1.0 \n", + "299 1.0 \n", + "298 1.0 \n", + "1081 1.0 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "cols = [\"record_id\", \"fire_id\", \"split\", \"split_source\", \"severity_bucket\", \"wind_direction\", \"outlier_feature_count\"]\n", + "numeric_present = [c for c in NUMERIC_COLUMNS if c in df_outliers.columns]\n", + "display(df_outliers[cols + numeric_present].sort_values(\"outlier_feature_count\", ascending=False).head(50))" + ] + }, + { + "cell_type": "markdown", + "id": "a7b5a2a0-fef3-4a6f-8c99-bfb275e95594", + "metadata": {}, + "source": [ + "# Findings from IQR mask and plotting top 50 outliers \n", + "\n", + "- the top rows do not look like actual outliers, because the rows have high base_spread_prob, wind_strength, spread_rate_1h_m, spread_score\n", + "and high weather_score.\n", + "- This aligns with the expectation for hard and extreme fire spread scenarios, so `iqr_outlier_mask` is likely flagging tail behavior of the data as outliers instead.\n", + "- From the function, `spread_rate_1h_m` has around 10% of outliers, `base_spread_prob` around 7.1%, `spread_score` around 7.1%, `wind_strength` 3.8% and `weather_score` 1.9% out of 19,246 rows of data that were flagged as outliers, so it is more likely to just be right-skewed data being flagged instead from the Tukey IQR detection.\n", + "\n", + "Tukey IQR was not a good metric for determining outliers for this right-skewed data. Trying raw scale and log space IQR:" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "id": "1be37979-9d30-4973-b7cd-245824890890", + "metadata": {}, + "outputs": [], + "source": [ + "# raw scale IQR masking \n", + "def raw_iqr_outlier_mask(series, whisker_width=1.5):\n", + " s = pd.Series(series).replace([np.inf, -np.inf], np.nan).dropna()\n", + "\n", + " q1 = s.quantile(0.25)\n", + " q3 = s.quantile(0.75)\n", + " iqr = q3 - q1\n", + "\n", + " lower = q1 - whisker_width * iqr\n", + " upper = q3 + whisker_width * iqr\n", + "\n", + " mask = (s < lower) | (s > upper)\n", + "\n", + " stats = {\n", + " \"q1\": q1,\n", + " \"q3\": q3,\n", + " \"iqr\": iqr,\n", + " \"lower\": lower,\n", + " \"upper\": upper,\n", + " \"n_outliers\": int(mask.sum())\n", + " }\n", + " return mask, stats" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "id": "450c68bb-65c3-4bde-8e5d-a304b8dde611", + "metadata": {}, + "outputs": [], + "source": [ + "# log space IQR \n", + "def log_iqr_outlier_mask(series, whisker_width=1.5, transform=\"log1p\"):\n", + " s = pd.Series(series).replace([np.inf, -np.inf], np.nan)\n", + "\n", + " if transform == \"log1p\":\n", + " valid = s >= 0\n", + " transformed = np.log1p(s[valid])\n", + " inverse = np.expm1\n", + " elif transform == \"log10\":\n", + " valid = s > 0\n", + " transformed = np.log10(s[valid])\n", + " inverse = lambda x: 10**x\n", + " else:\n", + " raise ValueError(\"transform must be 'log1p' or 'log10'\")\n", + "\n", + " transformed = transformed.dropna()\n", + "\n", + " q1 = transformed.quantile(0.25)\n", + " q3 = transformed.quantile(0.75)\n", + " iqr = q3 - q1\n", + "\n", + " lower_t = q1 - whisker_width * iqr\n", + " upper_t = q3 + whisker_width * iqr\n", + "\n", + " mask_t = (transformed < lower_t) | (transformed > upper_t)\n", + "\n", + " mask = pd.Series(False, index=s.index)\n", + " mask.loc[transformed.index] = mask_t\n", + "\n", + " stats = {\n", + " \"transform\": transform,\n", + " \"q1_transformed\": q1,\n", + " \"q3_transformed\": q3,\n", + " \"iqr_transformed\": iqr,\n", + " \"lower_transformed\": lower_t,\n", + " \"upper_transformed\": upper_t,\n", + " \"lower_original_scale\": inverse(lower_t),\n", + " \"upper_original_scale\": inverse(upper_t),\n", + " \"n_outliers\": int(mask.sum())\n", + " }\n", + "\n", + " return mask, stats" + ] + }, + { + "cell_type": "markdown", + "id": "0693bf3d-7fcf-48e0-8edb-69a1d8040c61", + "metadata": {}, + "source": [ + "# Checking for `spread_rate_1h_m`:" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "id": "c52d2dce-1503-4327-932c-866159968136", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Raw-scale IQR:\n", + "{'q1': np.float64(0.0), 'q3': np.float64(60.0), 'iqr': np.float64(60.0), 'lower': np.float64(-90.0), 'upper': np.float64(150.0), 'n_outliers': 1926}\n", + "\n", + "Log-space IQR:\n", + "{'transform': 'log1p', 'q1_transformed': np.float64(0.0), 'q3_transformed': np.float64(4.110873864173311), 'iqr_transformed': np.float64(4.110873864173311), 'lower_transformed': np.float64(-6.1663107962599675), 'upper_transformed': np.float64(10.277184660433278), 'lower_original_scale': np.float64(-0.9979010347551984), 'upper_original_scale': np.float64(29060.939044048657), 'n_outliers': 0}\n", + "\n", + "Raw outliers: 1926\n", + "Log-space outliers: 0\n" + ] + } + ], + "source": [ + "raw_mask, raw_stats = raw_iqr_outlier_mask(df[\"spread_rate_1h_m\"])\n", + "log_mask, log_stats = log_iqr_outlier_mask(df[\"spread_rate_1h_m\"], transform=\"log1p\")\n", + "\n", + "print(\"Raw-scale IQR:\")\n", + "print(raw_stats)\n", + "\n", + "print(\"\\nLog-space IQR:\")\n", + "print(log_stats)\n", + "\n", + "print(\"\\nRaw outliers:\", raw_mask.sum())\n", + "print(\"Log-space outliers:\", log_mask.sum())" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "id": "0fc88393-195c-40bf-9e03-a5af205ad594", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "600.0\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/makerspace/thomson/firebot-eval/.venv/lib/python3.14/site-packages/pandas/core/arraylike.py:402: RuntimeWarning: invalid value encountered in log1p\n", + " result = getattr(ufunc, method)(*inputs, **kwargs)\n" + ] + } + ], + "source": [ + "# final check with log space percentile \n", + "log_vals = np.log1p(df[\"spread_rate_1h_m\"])\n", + "upper = np.expm1(log_vals.quantile(0.99))\n", + "print(upper)" + ] + }, + { + "cell_type": "markdown", + "id": "833c6641-9cc4-4b41-8c47-5d315aafbabe", + "metadata": {}, + "source": [ + "# Final Check \n", + "\n", + "- log-space percentile vetting for `spread_rate_1h_m`, `base_spread_prob`, `spread_score` (the data is nonnegative, continuous, mostly right skewed from the plots)\n", + "- percentile check for `base_spread_prob`, `spread_score`, `weather_score`, `wind_strength`\n", + "- and domain checks for all numeric features for NaN, inf, and invalid negative values. The data has been normalized from the Alberta database, so it is unlikely to have explosive values " + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "id": "c2d8f14e-855d-4388-971e-b37f4e2f7267", + "metadata": {}, + "outputs": [], + "source": [ + "# 1) config: features to check against \n", + "ALL_NUMERIC_FEATURES = [\n", + " \"base_spread_prob\",\n", + " \"wind_strength\",\n", + " \"spread_rate_1h_m\",\n", + " \"spread_score\",\n", + " \"weather_score\",\n", + " \"size_factor\",\n", + " \"fire_type_factor\",\n", + " \"fuel_factor\",\n", + " \"rain_factor\",\n", + "]\n", + "\n", + "LOG_PERCENTILE_COLS = [\n", + " \"spread_rate_1h_m\",\n", + " \"base_spread_prob\",\n", + " \"spread_score\",\n", + "]\n", + "\n", + "PERCENTILE_COLS = [\n", + " \"base_spread_prob\",\n", + " \"spread_score\",\n", + " \"weather_score\",\n", + " \"wind_strength\",\n", + "]\n", + "\n", + "# If every numeric feature should be nonnegative, keep this as ALL_NUMERIC_FEATURES.\n", + "# If not, replace with only the columns where negatives are invalid.\n", + "NONNEGATIVE_COLS = ALL_NUMERIC_FEATURES.copy()\n", + "\n", + "# check id \n", + "ID_COLS = [\n", + " \"record_id\",\n", + " \"fire_id\",\n", + " \"split\",\n", + " \"split_source\",\n", + " \"severity_bucket\",\n", + " \"wind_direction\",\n", + "]\n", + "\n", + "Q_LOW = 0.01\n", + "Q_HIGH = 0.99\n", + "LOG_TRANSFORM = \"log1p\" # safer than log10 because it handles zeros" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "id": "5ae9b8db-f139-413f-a361-f8cb1928a0ed", + "metadata": {}, + "outputs": [], + "source": [ + "def _clean_series(series):\n", + " \"\"\"Return numeric series with inf converted to NaN.\"\"\"\n", + " return pd.to_numeric(series, errors=\"coerce\").replace([np.inf, -np.inf], np.nan)\n", + "\n", + "\n", + "def domain_check_feature(df, col, require_nonnegative=False):\n", + " s_raw = pd.to_numeric(df[col], errors=\"coerce\")\n", + " s = s_raw.replace([np.inf, -np.inf], np.nan)\n", + "\n", + " n_total = len(df)\n", + " n_nan = s.isna().sum()\n", + " n_inf = np.isinf(s_raw).sum() if pd.api.types.is_numeric_dtype(s_raw) else 0\n", + "\n", + " non_null = s.dropna()\n", + " n_valid = len(non_null)\n", + " n_unique = non_null.nunique()\n", + "\n", + " if n_valid > 0:\n", + " min_val = non_null.min()\n", + " max_val = non_null.max()\n", + " mean_val = non_null.mean()\n", + " median_val = non_null.median()\n", + " else:\n", + " min_val = max_val = mean_val = median_val = np.nan\n", + "\n", + " n_negative = int((non_null < 0).sum()) if require_nonnegative else np.nan\n", + " pct_negative = (n_negative / n_valid) if require_nonnegative and n_valid > 0 else np.nan\n", + "\n", + " return {\n", + " \"column\": col,\n", + " \"n_total\": n_total,\n", + " \"n_valid\": n_valid,\n", + " \"n_nan\": int(n_nan),\n", + " \"n_inf\": int(n_inf),\n", + " \"n_unique\": int(n_unique),\n", + " \"min\": min_val,\n", + " \"max\": max_val,\n", + " \"mean\": mean_val,\n", + " \"median\": median_val,\n", + " \"require_nonnegative\": require_nonnegative,\n", + " \"n_negative\": n_negative,\n", + " \"pct_negative\": pct_negative,\n", + " }\n", + "\n", + "\n", + "def percentile_vetting_feature(df, col, q_low=0.01, q_high=0.99):\n", + " s = _clean_series(df[col]).dropna()\n", + "\n", + " if s.empty:\n", + " return {\n", + " \"column\": col,\n", + " \"method\": \"raw_percentile\",\n", + " \"q_low\": q_low,\n", + " \"q_high\": q_high,\n", + " \"lower_threshold\": np.nan,\n", + " \"upper_threshold\": np.nan,\n", + " \"n_low_flagged\": 0,\n", + " \"n_high_flagged\": 0,\n", + " \"n_total_flagged\": 0,\n", + " }, pd.Series(False, index=df.index), pd.Series(False, index=df.index)\n", + "\n", + " lower = s.quantile(q_low)\n", + " upper = s.quantile(q_high)\n", + "\n", + " low_mask = pd.Series(False, index=df.index)\n", + " high_mask = pd.Series(False, index=df.index)\n", + "\n", + " valid = _clean_series(df[col])\n", + " low_mask.loc[valid.index] = valid < lower\n", + " high_mask.loc[valid.index] = valid > upper\n", + "\n", + " report = {\n", + " \"column\": col,\n", + " \"method\": \"raw_percentile\",\n", + " \"q_low\": q_low,\n", + " \"q_high\": q_high,\n", + " \"lower_threshold\": lower,\n", + " \"upper_threshold\": upper,\n", + " \"n_low_flagged\": int(low_mask.sum()),\n", + " \"n_high_flagged\": int(high_mask.sum()),\n", + " \"n_total_flagged\": int((low_mask | high_mask).sum()),\n", + " }\n", + " return report, low_mask, high_mask\n", + "\n", + "\n", + "def log_percentile_vetting_feature(df, col, q_low=0.01, q_high=0.99, transform=\"log1p\"):\n", + " s = _clean_series(df[col])\n", + "\n", + " if transform == \"log1p\":\n", + " valid = s[s >= 0].dropna()\n", + " transformed = np.log1p(valid)\n", + " inverse_fn = np.expm1\n", + " elif transform == \"log10\":\n", + " valid = s[s > 0].dropna()\n", + " transformed = np.log10(valid)\n", + " inverse_fn = lambda x: 10 ** x\n", + " else:\n", + " raise ValueError(\"transform must be 'log1p' or 'log10'\")\n", + "\n", + " if transformed.empty:\n", + " return {\n", + " \"column\": col,\n", + " \"method\": f\"{transform}_percentile\",\n", + " \"q_low\": q_low,\n", + " \"q_high\": q_high,\n", + " \"lower_threshold_transformed\": np.nan,\n", + " \"upper_threshold_transformed\": np.nan,\n", + " \"lower_threshold_original_scale\": np.nan,\n", + " \"upper_threshold_original_scale\": np.nan,\n", + " \"n_low_flagged\": 0,\n", + " \"n_high_flagged\": 0,\n", + " \"n_total_flagged\": 0,\n", + " }, pd.Series(False, index=df.index), pd.Series(False, index=df.index)\n", + "\n", + " lower_t = transformed.quantile(q_low)\n", + " upper_t = transformed.quantile(q_high)\n", + "\n", + " lower_orig = inverse_fn(lower_t)\n", + " upper_orig = inverse_fn(upper_t)\n", + "\n", + " low_mask = pd.Series(False, index=df.index)\n", + " high_mask = pd.Series(False, index=df.index)\n", + "\n", + " low_mask.loc[valid.index] = valid < lower_orig\n", + " high_mask.loc[valid.index] = valid > upper_orig\n", + "\n", + " report = {\n", + " \"column\": col,\n", + " \"method\": f\"{transform}_percentile\",\n", + " \"q_low\": q_low,\n", + " \"q_high\": q_high,\n", + " \"lower_threshold_transformed\": lower_t,\n", + " \"upper_threshold_transformed\": upper_t,\n", + " \"lower_threshold_original_scale\": lower_orig,\n", + " \"upper_threshold_original_scale\": upper_orig,\n", + " \"n_low_flagged\": int(low_mask.sum()),\n", + " \"n_high_flagged\": int(high_mask.sum()),\n", + " \"n_total_flagged\": int((low_mask | high_mask).sum()),\n", + " }\n", + " return report, low_mask, high_mask" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "id": "a6d72f51-d5a2-4300-bd79-a87cdbae9660", + "metadata": {}, + "outputs": [], + "source": [ + "def run_final_numeric_audit(\n", + " df,\n", + " all_numeric_features,\n", + " log_percentile_cols,\n", + " percentile_cols,\n", + " nonnegative_cols,\n", + " q_low=0.01,\n", + " q_high=0.99,\n", + " log_transform=\"log1p\",\n", + "):\n", + " present_numeric = [c for c in all_numeric_features if c in df.columns]\n", + " present_log_cols = [c for c in log_percentile_cols if c in df.columns]\n", + " present_pct_cols = [c for c in percentile_cols if c in df.columns]\n", + " present_nonnegative = set(c for c in nonnegative_cols if c in df.columns)\n", + "\n", + " # Domain report\n", + " domain_rows = []\n", + " for col in present_numeric:\n", + " domain_rows.append(\n", + " domain_check_feature(\n", + " df,\n", + " col,\n", + " require_nonnegative=(col in present_nonnegative),\n", + " )\n", + " )\n", + " domain_report = pd.DataFrame(domain_rows)\n", + "\n", + " # Raw percentile report + masks\n", + " raw_rows = []\n", + " raw_masks = {}\n", + " for col in present_pct_cols:\n", + " report, low_mask, high_mask = percentile_vetting_feature(\n", + " df, col, q_low=q_low, q_high=q_high\n", + " )\n", + " raw_rows.append(report)\n", + " raw_masks[f\"{col}__raw_low\"] = low_mask\n", + " raw_masks[f\"{col}__raw_high\"] = high_mask\n", + " raw_masks[f\"{col}__raw_any\"] = low_mask | high_mask\n", + " raw_percentile_report = pd.DataFrame(raw_rows)\n", + "\n", + " # Log percentile report + masks\n", + " log_rows = []\n", + " log_masks = {}\n", + " for col in present_log_cols:\n", + " report, low_mask, high_mask = log_percentile_vetting_feature(\n", + " df, col, q_low=q_low, q_high=q_high, transform=log_transform\n", + " )\n", + " log_rows.append(report)\n", + " log_masks[f\"{col}__log_low\"] = low_mask\n", + " log_masks[f\"{col}__log_high\"] = high_mask\n", + " log_masks[f\"{col}__log_any\"] = low_mask | high_mask\n", + " log_percentile_report = pd.DataFrame(log_rows)\n", + "\n", + " # Domain flag masks\n", + " domain_masks = {}\n", + " for col in present_numeric:\n", + " s_raw = pd.to_numeric(df[col], errors=\"coerce\")\n", + " s = s_raw.replace([np.inf, -np.inf], np.nan)\n", + "\n", + " domain_masks[f\"{col}__nan\"] = s.isna()\n", + " domain_masks[f\"{col}__inf\"] = pd.Series(np.isinf(s_raw), index=df.index)\n", + "\n", + " if col in present_nonnegative:\n", + " domain_masks[f\"{col}__negative\"] = s < 0\n", + "\n", + " # Combine all masks into one DataFrame\n", + " all_masks = {**domain_masks, **raw_masks, **log_masks}\n", + " flag_mask_df = pd.DataFrame(all_masks, index=df.index)\n", + "\n", + " if flag_mask_df.empty:\n", + " flag_mask_df = pd.DataFrame(index=df.index)\n", + "\n", + " flag_mask_df[\"n_flags\"] = flag_mask_df.sum(axis=1) if len(flag_mask_df.columns) > 0 else 0\n", + " flag_mask_df[\"any_flag\"] = flag_mask_df[\"n_flags\"] > 0\n", + "\n", + " return {\n", + " \"present_numeric\": present_numeric,\n", + " \"domain_report\": domain_report,\n", + " \"raw_percentile_report\": raw_percentile_report,\n", + " \"log_percentile_report\": log_percentile_report,\n", + " \"flag_mask_df\": flag_mask_df,\n", + " }" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "id": "b0de5dcf-1f0c-4c01-a7ed-20962a108db4", + "metadata": {}, + "outputs": [], + "source": [ + "audit = run_final_numeric_audit(\n", + " df=df,\n", + " all_numeric_features=ALL_NUMERIC_FEATURES,\n", + " log_percentile_cols=LOG_PERCENTILE_COLS,\n", + " percentile_cols=PERCENTILE_COLS,\n", + " nonnegative_cols=NONNEGATIVE_COLS,\n", + " q_low=Q_LOW,\n", + " q_high=Q_HIGH,\n", + " log_transform=LOG_TRANSFORM,\n", + ")\n", + "\n", + "domain_report = audit[\"domain_report\"]\n", + "raw_percentile_report = audit[\"raw_percentile_report\"]\n", + "log_percentile_report = audit[\"log_percentile_report\"]\n", + "flag_mask_df = audit[\"flag_mask_df\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "id": "3af3717b-ef77-495e-a5d4-0d7fab8cf0f4", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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columnn_totaln_validn_nann_infn_uniqueminmaxmeanmedianrequire_nonnegativen_negativepct_negative
0base_spread_prob1924619246008740.04080.22000.0602880.05720True00.000000
1wind_strength192461924600400.11250.60000.2272870.21250True00.000000
2spread_rate_1h_m19246192460056-60.00006000.000059.6580070.00000True70.000364
3spread_score19246192460028560.00451.00000.1127110.09550True00.000000
4weather_score19246192460049850.02250.95240.4286680.43045True00.000000
5size_factor192461924600740.95001.10000.9501950.95000True00.000000
6fire_type_factor19246192460030.80001.18000.9660431.00000True00.000000
7fuel_factor19246192460031.00001.12001.0531601.06000True00.000000
8rain_factor19246192460020.90001.00000.9936511.00000True00.000000
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columnmethodq_lowq_highlower_thresholdupper_thresholdn_low_flaggedn_high_flaggedn_total_flagged
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2weather_scoreraw_percentile0.010.990.1273800.77353193193386
0base_spread_probraw_percentile0.010.990.0446000.12260192192384
3wind_strengthraw_percentile0.010.990.1125000.60000000
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columnmethodq_lowq_highlower_threshold_transformedupper_threshold_transformedlower_threshold_original_scaleupper_threshold_original_scalen_low_flaggedn_high_flaggedn_total_flagged
2spread_scorelog1p_percentile0.010.990.0250290.3776900.0253450.45891193193386
1base_spread_problog1p_percentile0.010.990.0436340.1156470.0446000.12260192192384
0spread_rate_1h_mlog1p_percentile0.010.990.0000006.3985950.000000600.000000162162
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1spread_score__raw_any386
2weather_score__raw_any386
3base_spread_prob__raw_any384
4base_spread_prob__log_any384
5spread_score__log_low193
6spread_score__raw_low193
7spread_score__raw_high193
8weather_score__raw_low193
9spread_score__log_high193
10weather_score__raw_high193
11base_spread_prob__raw_low192
12base_spread_prob__log_low192
13base_spread_prob__log_high192
14base_spread_prob__raw_high192
15spread_rate_1h_m__log_high162
16spread_rate_1h_m__log_any162
17spread_rate_1h_m__negative7
18weather_score__inf0
19weather_score__negative0
20spread_score__negative0
21spread_score__inf0
22spread_score__nan0
23weather_score__nan0
24wind_strength__nan0
25spread_rate_1h_m__nan0
26wind_strength__negative0
27wind_strength__inf0
28base_spread_prob__inf0
29base_spread_prob__negative0
30base_spread_prob__nan0
31spread_rate_1h_m__inf0
32size_factor__nan0
33rain_factor__inf0
34rain_factor__negative0
35rain_factor__nan0
36fire_type_factor__negative0
37fuel_factor__nan0
38fuel_factor__inf0
39fuel_factor__negative0
40size_factor__negative0
41fire_type_factor__nan0
42size_factor__inf0
43fire_type_factor__inf0
44spread_rate_1h_m__log_low0
45wind_strength__raw_any0
46wind_strength__raw_high0
47wind_strength__raw_low0
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record_idfire_idsplitsplit_sourceseverity_bucketwind_directionbase_spread_probwind_strengthspread_rate_1h_mspread_scoreweather_scoresize_factorfire_type_factorfuel_factorrain_factorn_flags
55AB-2008-SWF048__20080515AB-2008-SWF048traintrainhighW0.18440.60001200.00.80230.80470.95071.181.061.012
22AB-2006-SWF127__20060629AB-2006-SWF127traintrainhighNW0.22000.60001800.01.00000.90050.95001.181.121.012
18256AB-2023-WWF023__20230505AB-2023-WWF023valvalhighSE0.19240.47501200.00.84650.79740.95151.181.121.012
44AB-2015-HWF258__20150628AB-2015-HWF258traintrainhighW0.19250.56251200.00.84740.78080.95751.181.121.012
125AB-2011-SWF086__20110515AB-2011-SWF086traintrainhighSE0.16600.6000900.00.70000.84840.95001.181.121.012
13454AB-2019-EWF041__20190524AB-2019-EWF041traintrainlowW0.04330.13750.00.01820.09090.95001.001.001.010
15305AB-2012-GWF070__20120925AB-2012-GWF070traintrainlowW0.04450.16250.00.02500.12480.95001.001.001.010
15203AB-2012-PWF001__20120423AB-2012-PWF001traintrainlowS0.04340.16250.00.01900.08480.95001.001.121.010
15148AB-2012-RWF045__20120529AB-2012-RWF045traintrainlowSW0.04410.13750.00.02250.12520.95001.001.000.910
15059AB-2012-WWF045__20121010AB-2012-WWF045traintrainlowNW0.04180.16250.00.01010.05630.95001.001.000.910
15008AB-2013-EWF084__20140122AB-2013-EWF084traintrainlowNW0.04400.12500.00.02210.11060.95001.001.001.010
14763AB-2014-GWF046__20140717AB-2014-GWF046traintrainlowN0.04390.12500.00.02160.10820.95001.001.001.010
13493AB-2018-WWF009__20180510AB-2018-WWF009traintrainlowE0.04260.13750.00.01430.07150.95001.001.001.010
14703AB-2014-LWF133__20141027AB-2014-LWF133traintrainlowNW0.04320.20000.00.01770.11060.95000.801.001.010
14624AB-2014-RWF080__20150321AB-2014-RWF080traintrainlowE0.04080.12500.00.00450.02250.95001.001.001.010
14596AB-2014-SWF195__20141008AB-2014-SWF195traintrainlowSE0.04180.12500.00.01000.06250.95000.801.001.010
14518AB-2015-GWF033__20150527AB-2015-GWF033traintrainlowSW0.04350.12500.00.01940.09680.95001.001.001.010
14502AB-2015-GWF086__20151123AB-2015-GWF086traintrainlowE0.04200.16250.00.01130.05630.95001.001.120.910
14501AB-2015-GWF087__20151207AB-2015-GWF087traintrainlowSW0.04160.11250.00.00910.05070.95000.801.121.010
14419AB-2015-LWF232__20151119AB-2015-LWF232traintrainlowSE0.04170.12500.00.00940.05540.95000.801.061.010
14731AB-2014-HWF239__20140930AB-2014-HWF239traintrainlowSW0.04400.13750.00.02230.11150.95001.001.001.010
12621AB-2022-EWF041__20220518AB-2022-EWF041traintrainlowSW0.04260.16250.00.01470.07340.95001.001.001.010
12576AB-2022-GWF071__20220916AB-2022-GWF071traintrainlowW0.04300.16250.00.01680.07910.95001.001.061.010
12506AB-2022-LWF198__20221117AB-2022-LWF198traintrainlowS0.04410.16250.00.02260.12620.95000.801.121.010
12503AB-2022-MWF003__20220517AB-2022-MWF003traintrainlowN0.04150.12500.00.00820.05680.95000.801.000.910
14266AB-2015-WWF094__20160113AB-2015-WWF094traintrainlowW0.04270.16250.00.01520.08510.95000.801.121.010
14195AB-2016-GWF048__20160519AB-2016-GWF048traintrainlowN0.04250.16250.00.01380.06880.95001.001.001.010
14177AB-2016-HWF084__20160602AB-2016-HWF084traintrainlowN0.04350.11250.00.01960.11550.95000.801.061.010
14156AB-2016-HWF253__20161015AB-2016-HWF253traintrainlowNW0.04160.11250.00.00880.04420.95001.001.001.010
13507AB-2018-SWF065__20180621AB-2018-SWF065traintrainlowW0.04410.11250.00.02290.11980.95001.001.060.910
13997AB-2016-SWF202__20160730AB-2016-SWF202traintrainlowW0.04370.13750.00.02050.10230.95001.001.001.010
13942AB-2017-CWF250__20171010AB-2017-CWF250traintrainlowN0.04290.12500.00.01580.08840.95000.801.121.010
13841AB-2017-LWF062__20170915AB-2017-LWF062traintrainlowSE0.04290.11250.00.01640.10230.95000.801.001.010
13831AB-2017-MWF093__20171116AB-2017-MWF093traintrainlowW0.04100.11250.00.00580.03600.95000.801.120.910
13802AB-2017-PWF112__20170911AB-2017-PWF112traintrainlowW0.04430.12500.00.02420.11390.95001.001.061.010
13733AB-2017-WWF028__20170919AB-2017-WWF028traintrainlowNW0.04110.12500.00.00600.02820.95001.001.061.010
13659AB-2018-EWF105__20180830AB-2018-EWF105traintrainlowS0.04390.13750.00.02160.09660.95001.001.121.010
13629AB-2018-HWF224__20180912AB-2018-HWF224traintrainlowNW0.04200.16250.00.01100.06860.95000.801.001.010
14289AB-2015-SWF247__20150928AB-2015-SWF247traintrainlowS0.04120.11250.00.00680.03410.95001.001.001.010
14078AB-2016-PWF070__20160625AB-2016-PWF070traintrainlowNW0.04400.16250.00.02240.12480.95000.801.121.010
16508AB-2009-CWF043__20090518AB-2009-CWF043traintrainlowSW0.04410.22500.00.02250.11250.95001.001.001.010
16506AB-2009-CWF046__20090518AB-2009-CWF046traintrainlowSW0.04410.22500.00.02250.11250.95001.001.001.010
16505AB-2009-CWF047__20090518AB-2009-CWF047traintrainlowSW0.04410.22500.00.02250.11250.95001.001.001.010
16504AB-2009-CWF049__20090518AB-2009-CWF049traintrainlowSW0.04410.22500.00.02250.11250.95001.001.001.010
16498AB-2009-CWF058__20090518AB-2009-CWF058traintrainlowSW0.04410.22500.00.02250.11250.95001.001.001.010
16481AB-2009-CWF080__20090518AB-2009-CWF080traintrainlowSW0.04410.22500.00.02250.11250.95001.001.001.010
16391AB-2009-CWF223__20090920AB-2009-CWF223traintrainlowW0.04170.12500.00.00960.06020.95000.801.001.010
16386AB-2009-CWF229__20091013AB-2009-CWF229traintrainlowW0.04160.16250.00.00900.05630.95000.801.001.010
364AB-2011-MWF007__20110514AB-2011-MWF007traintrainmediumSE0.12850.6000480.00.49150.89850.95031.181.121.010
16205AB-2009-LWF149__20090703AB-2009-LWF149traintrainlowNE0.04410.12500.00.02280.11390.95001.001.001.010
\n", + "
" + ], + "text/plain": [ + " record_id fire_id split split_source \\\n", + "55 AB-2008-SWF048__20080515 AB-2008-SWF048 train train \n", + "22 AB-2006-SWF127__20060629 AB-2006-SWF127 train train \n", + "18256 AB-2023-WWF023__20230505 AB-2023-WWF023 val val \n", + "44 AB-2015-HWF258__20150628 AB-2015-HWF258 train train \n", + "125 AB-2011-SWF086__20110515 AB-2011-SWF086 train train \n", + "13454 AB-2019-EWF041__20190524 AB-2019-EWF041 train train \n", + "15305 AB-2012-GWF070__20120925 AB-2012-GWF070 train train \n", + "15203 AB-2012-PWF001__20120423 AB-2012-PWF001 train train \n", + "15148 AB-2012-RWF045__20120529 AB-2012-RWF045 train train \n", + "15059 AB-2012-WWF045__20121010 AB-2012-WWF045 train train \n", + "15008 AB-2013-EWF084__20140122 AB-2013-EWF084 train train \n", + "14763 AB-2014-GWF046__20140717 AB-2014-GWF046 train train \n", + "13493 AB-2018-WWF009__20180510 AB-2018-WWF009 train train \n", + "14703 AB-2014-LWF133__20141027 AB-2014-LWF133 train train \n", + "14624 AB-2014-RWF080__20150321 AB-2014-RWF080 train train \n", + "14596 AB-2014-SWF195__20141008 AB-2014-SWF195 train train \n", + "14518 AB-2015-GWF033__20150527 AB-2015-GWF033 train train \n", + "14502 AB-2015-GWF086__20151123 AB-2015-GWF086 train train \n", + "14501 AB-2015-GWF087__20151207 AB-2015-GWF087 train train \n", + "14419 AB-2015-LWF232__20151119 AB-2015-LWF232 train train \n", + "14731 AB-2014-HWF239__20140930 AB-2014-HWF239 train train \n", + "12621 AB-2022-EWF041__20220518 AB-2022-EWF041 train train \n", + "12576 AB-2022-GWF071__20220916 AB-2022-GWF071 train train \n", + "12506 AB-2022-LWF198__20221117 AB-2022-LWF198 train train \n", + "12503 AB-2022-MWF003__20220517 AB-2022-MWF003 train train \n", + "14266 AB-2015-WWF094__20160113 AB-2015-WWF094 train train \n", + "14195 AB-2016-GWF048__20160519 AB-2016-GWF048 train train \n", + "14177 AB-2016-HWF084__20160602 AB-2016-HWF084 train train \n", + "14156 AB-2016-HWF253__20161015 AB-2016-HWF253 train train \n", + "13507 AB-2018-SWF065__20180621 AB-2018-SWF065 train train \n", + "13997 AB-2016-SWF202__20160730 AB-2016-SWF202 train train \n", + "13942 AB-2017-CWF250__20171010 AB-2017-CWF250 train train \n", + "13841 AB-2017-LWF062__20170915 AB-2017-LWF062 train train \n", + "13831 AB-2017-MWF093__20171116 AB-2017-MWF093 train train \n", + "13802 AB-2017-PWF112__20170911 AB-2017-PWF112 train train \n", + "13733 AB-2017-WWF028__20170919 AB-2017-WWF028 train train \n", + "13659 AB-2018-EWF105__20180830 AB-2018-EWF105 train train \n", + "13629 AB-2018-HWF224__20180912 AB-2018-HWF224 train train \n", + "14289 AB-2015-SWF247__20150928 AB-2015-SWF247 train train \n", + "14078 AB-2016-PWF070__20160625 AB-2016-PWF070 train train \n", + "16508 AB-2009-CWF043__20090518 AB-2009-CWF043 train train \n", + "16506 AB-2009-CWF046__20090518 AB-2009-CWF046 train train \n", + "16505 AB-2009-CWF047__20090518 AB-2009-CWF047 train train \n", + "16504 AB-2009-CWF049__20090518 AB-2009-CWF049 train train \n", + "16498 AB-2009-CWF058__20090518 AB-2009-CWF058 train train \n", + "16481 AB-2009-CWF080__20090518 AB-2009-CWF080 train train \n", + "16391 AB-2009-CWF223__20090920 AB-2009-CWF223 train train \n", + "16386 AB-2009-CWF229__20091013 AB-2009-CWF229 train train \n", + "364 AB-2011-MWF007__20110514 AB-2011-MWF007 train train \n", + "16205 AB-2009-LWF149__20090703 AB-2009-LWF149 train train \n", + "\n", + " severity_bucket wind_direction base_spread_prob wind_strength \\\n", + "55 high W 0.1844 0.6000 \n", + "22 high NW 0.2200 0.6000 \n", + "18256 high SE 0.1924 0.4750 \n", + "44 high W 0.1925 0.5625 \n", + "125 high SE 0.1660 0.6000 \n", + "13454 low W 0.0433 0.1375 \n", + "15305 low W 0.0445 0.1625 \n", + "15203 low S 0.0434 0.1625 \n", + "15148 low SW 0.0441 0.1375 \n", + "15059 low NW 0.0418 0.1625 \n", + "15008 low NW 0.0440 0.1250 \n", + "14763 low N 0.0439 0.1250 \n", + "13493 low E 0.0426 0.1375 \n", + "14703 low NW 0.0432 0.2000 \n", + "14624 low E 0.0408 0.1250 \n", + "14596 low SE 0.0418 0.1250 \n", + "14518 low SW 0.0435 0.1250 \n", + "14502 low E 0.0420 0.1625 \n", + "14501 low SW 0.0416 0.1125 \n", + "14419 low SE 0.0417 0.1250 \n", + "14731 low SW 0.0440 0.1375 \n", + "12621 low SW 0.0426 0.1625 \n", + "12576 low W 0.0430 0.1625 \n", + "12506 low S 0.0441 0.1625 \n", + "12503 low N 0.0415 0.1250 \n", + "14266 low W 0.0427 0.1625 \n", + "14195 low N 0.0425 0.1625 \n", + "14177 low N 0.0435 0.1125 \n", + "14156 low NW 0.0416 0.1125 \n", + "13507 low W 0.0441 0.1125 \n", + "13997 low W 0.0437 0.1375 \n", + "13942 low N 0.0429 0.1250 \n", + "13841 low SE 0.0429 0.1125 \n", + "13831 low W 0.0410 0.1125 \n", + "13802 low W 0.0443 0.1250 \n", + "13733 low NW 0.0411 0.1250 \n", + "13659 low S 0.0439 0.1375 \n", + "13629 low NW 0.0420 0.1625 \n", + "14289 low S 0.0412 0.1125 \n", + "14078 low NW 0.0440 0.1625 \n", + "16508 low SW 0.0441 0.2250 \n", + "16506 low SW 0.0441 0.2250 \n", + "16505 low SW 0.0441 0.2250 \n", + "16504 low SW 0.0441 0.2250 \n", + "16498 low SW 0.0441 0.2250 \n", + "16481 low SW 0.0441 0.2250 \n", + "16391 low W 0.0417 0.1250 \n", + "16386 low W 0.0416 0.1625 \n", + "364 medium SE 0.1285 0.6000 \n", + "16205 low NE 0.0441 0.1250 \n", + "\n", + " spread_rate_1h_m spread_score weather_score size_factor \\\n", + "55 1200.0 0.8023 0.8047 0.9507 \n", + "22 1800.0 1.0000 0.9005 0.9500 \n", + "18256 1200.0 0.8465 0.7974 0.9515 \n", + "44 1200.0 0.8474 0.7808 0.9575 \n", + "125 900.0 0.7000 0.8484 0.9500 \n", + "13454 0.0 0.0182 0.0909 0.9500 \n", + "15305 0.0 0.0250 0.1248 0.9500 \n", + "15203 0.0 0.0190 0.0848 0.9500 \n", + "15148 0.0 0.0225 0.1252 0.9500 \n", + "15059 0.0 0.0101 0.0563 0.9500 \n", + "15008 0.0 0.0221 0.1106 0.9500 \n", + "14763 0.0 0.0216 0.1082 0.9500 \n", + "13493 0.0 0.0143 0.0715 0.9500 \n", + "14703 0.0 0.0177 0.1106 0.9500 \n", + "14624 0.0 0.0045 0.0225 0.9500 \n", + "14596 0.0 0.0100 0.0625 0.9500 \n", + "14518 0.0 0.0194 0.0968 0.9500 \n", + "14502 0.0 0.0113 0.0563 0.9500 \n", + "14501 0.0 0.0091 0.0507 0.9500 \n", + "14419 0.0 0.0094 0.0554 0.9500 \n", + "14731 0.0 0.0223 0.1115 0.9500 \n", + "12621 0.0 0.0147 0.0734 0.9500 \n", + "12576 0.0 0.0168 0.0791 0.9500 \n", + "12506 0.0 0.0226 0.1262 0.9500 \n", + "12503 0.0 0.0082 0.0568 0.9500 \n", + "14266 0.0 0.0152 0.0851 0.9500 \n", + "14195 0.0 0.0138 0.0688 0.9500 \n", + "14177 0.0 0.0196 0.1155 0.9500 \n", + "14156 0.0 0.0088 0.0442 0.9500 \n", + "13507 0.0 0.0229 0.1198 0.9500 \n", + "13997 0.0 0.0205 0.1023 0.9500 \n", + "13942 0.0 0.0158 0.0884 0.9500 \n", + "13841 0.0 0.0164 0.1023 0.9500 \n", + "13831 0.0 0.0058 0.0360 0.9500 \n", + "13802 0.0 0.0242 0.1139 0.9500 \n", + "13733 0.0 0.0060 0.0282 0.9500 \n", + "13659 0.0 0.0216 0.0966 0.9500 \n", + "13629 0.0 0.0110 0.0686 0.9500 \n", + "14289 0.0 0.0068 0.0341 0.9500 \n", + "14078 0.0 0.0224 0.1248 0.9500 \n", + "16508 0.0 0.0225 0.1125 0.9500 \n", + "16506 0.0 0.0225 0.1125 0.9500 \n", + "16505 0.0 0.0225 0.1125 0.9500 \n", + "16504 0.0 0.0225 0.1125 0.9500 \n", + "16498 0.0 0.0225 0.1125 0.9500 \n", + "16481 0.0 0.0225 0.1125 0.9500 \n", + "16391 0.0 0.0096 0.0602 0.9500 \n", + "16386 0.0 0.0090 0.0563 0.9500 \n", + "364 480.0 0.4915 0.8985 0.9503 \n", + "16205 0.0 0.0228 0.1139 0.9500 \n", + "\n", + " fire_type_factor fuel_factor rain_factor n_flags \n", + "55 1.18 1.06 1.0 12 \n", + "22 1.18 1.12 1.0 12 \n", + "18256 1.18 1.12 1.0 12 \n", + "44 1.18 1.12 1.0 12 \n", + "125 1.18 1.12 1.0 12 \n", + "13454 1.00 1.00 1.0 10 \n", + "15305 1.00 1.00 1.0 10 \n", + "15203 1.00 1.12 1.0 10 \n", + "15148 1.00 1.00 0.9 10 \n", + "15059 1.00 1.00 0.9 10 \n", + "15008 1.00 1.00 1.0 10 \n", + "14763 1.00 1.00 1.0 10 \n", + "13493 1.00 1.00 1.0 10 \n", + "14703 0.80 1.00 1.0 10 \n", + "14624 1.00 1.00 1.0 10 \n", + "14596 0.80 1.00 1.0 10 \n", + "14518 1.00 1.00 1.0 10 \n", + "14502 1.00 1.12 0.9 10 \n", + "14501 0.80 1.12 1.0 10 \n", + "14419 0.80 1.06 1.0 10 \n", + "14731 1.00 1.00 1.0 10 \n", + "12621 1.00 1.00 1.0 10 \n", + "12576 1.00 1.06 1.0 10 \n", + "12506 0.80 1.12 1.0 10 \n", + "12503 0.80 1.00 0.9 10 \n", + "14266 0.80 1.12 1.0 10 \n", + "14195 1.00 1.00 1.0 10 \n", + "14177 0.80 1.06 1.0 10 \n", + "14156 1.00 1.00 1.0 10 \n", + "13507 1.00 1.06 0.9 10 \n", + "13997 1.00 1.00 1.0 10 \n", + "13942 0.80 1.12 1.0 10 \n", + "13841 0.80 1.00 1.0 10 \n", + "13831 0.80 1.12 0.9 10 \n", + "13802 1.00 1.06 1.0 10 \n", + "13733 1.00 1.06 1.0 10 \n", + "13659 1.00 1.12 1.0 10 \n", + "13629 0.80 1.00 1.0 10 \n", + "14289 1.00 1.00 1.0 10 \n", + "14078 0.80 1.12 1.0 10 \n", + "16508 1.00 1.00 1.0 10 \n", + "16506 1.00 1.00 1.0 10 \n", + "16505 1.00 1.00 1.0 10 \n", + "16504 1.00 1.00 1.0 10 \n", + "16498 1.00 1.00 1.0 10 \n", + "16481 1.00 1.00 1.0 10 \n", + "16391 0.80 1.00 1.0 10 \n", + "16386 0.80 1.00 1.0 10 \n", + "364 1.18 1.12 1.0 10 \n", + "16205 1.00 1.00 1.0 10 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "present_id_cols = [c for c in ID_COLS if c in df.columns]\n", + "present_numeric_cols = [c for c in ALL_NUMERIC_FEATURES if c in df.columns]\n", + "\n", + "flagged_rows = df.loc[flag_mask_df[\"any_flag\"], present_id_cols + present_numeric_cols].copy()\n", + "flagged_rows[\"n_flags\"] = flag_mask_df.loc[flag_mask_df[\"any_flag\"], \"n_flags\"]\n", + "\n", + "display(\n", + " flagged_rows\n", + " .sort_values(\"n_flags\", ascending=False)\n", + " .head(50)\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "id": "c4363536-dd14-47d8-8bb3-db1f4d0fdbf1", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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record_idfire_idsplitsplit_sourceseverity_bucketwind_directionspread_rate_1h_mbase_spread_probspread_scorewind_strengthweather_score
0AB-2008-MWF074__20080703AB-2008-MWF074traintrainhighS6000.00.17920.77360.16250.4535
1AB-2018-SWF158__20180901AB-2018-SWF158traintrainmediumNW4260.00.15710.65040.16250.2518
2AB-2012-MWF047__20120710AB-2012-MWF047traintrainhighW4200.00.17970.77590.16250.4640
3AB-2014-GWF044__20140715AB-2014-GWF044traintrainhighSW3900.00.22001.00000.26250.5501
4AB-2017-CWF254__20171017AB-2017-CWF254traintrainhighW3600.00.21940.99660.60000.7679
5AB-2017-RWF062__20170831AB-2017-RWF062traintrainhighSW3000.00.21460.97000.35000.6447
6AB-2006-GWF136__20060704AB-2006-GWF136traintrainhighW3000.00.21390.96630.35000.6520
7AB-2019-SWF069__20190526AB-2019-SWF069traintrainhighSW3000.00.20980.94320.22500.5658
8AB-2015-SWF076__20150525AB-2015-SWF076traintrainhighNW3000.00.21120.95120.22500.5962
9AB-2015-LWF122__20150522AB-2015-LWF122traintrainhighS3000.00.20740.92980.13750.5159
19245AB-2025-SWF149__20250720AB-2025-SWF149holdoutholdouthighS3000.00.19440.85790.35000.6060
18253AB-2023-SWF068__20230505AB-2023-SWF068valvalhighSE3000.00.21260.95870.23750.5894
18252AB-2023-GWF019__20230505AB-2023-GWF019valvalhighSE3000.00.22001.00000.42500.7548
18254AB-2023-PWF082__20230630AB-2023-PWF082valvalhighW3000.00.20750.93070.20000.5087
10AB-2006-GWF188__20060903AB-2006-GWF188traintrainhighSW2400.00.17760.76440.22500.6054
11AB-2014-PWF095__20140802AB-2014-PWF095traintrainhighSE2400.00.20760.93100.18750.5219
12AB-2006-GWF138__20060704AB-2006-GWF138traintrainhighW2100.00.19640.86890.35000.6520
13AB-2017-HWF140__20170605AB-2017-HWF140traintrainhighE2040.00.17670.75960.15000.3905
18AB-2006-SWF130__20060629AB-2006-SWF130traintrainhighSW1800.00.21460.96990.35000.6687
19AB-2007-LWF025__20070501AB-2007-LWF025traintrainhighS1800.00.16670.70370.35000.5175
20AB-2008-RWF108__20080918AB-2008-RWF108traintrainhighW1800.00.19090.83810.42500.7410
21AB-2013-GWF011__20130512AB-2013-GWF011traintrainhighW1800.00.17370.74280.47500.7137
22AB-2006-SWF127__20060629AB-2006-SWF127traintrainhighNW1800.00.22001.00000.60000.9005
23AB-2019-PWF066__20190518AB-2019-PWF066traintrainhighSE1800.00.16980.72120.43750.6061
24AB-2011-LWF128__20110515AB-2011-LWF128traintrainhighSE1800.00.21420.96800.35000.6621
17AB-2016-LWF029__20160418AB-2016-LWF029traintrainhighS1800.00.18700.81690.30000.6450
14AB-2012-HWF142__20120710AB-2012-HWF142traintrainhighSW1800.00.22001.00000.11250.4814
15AB-2006-EWF173__20060704AB-2006-EWF173traintrainhighW1800.00.21180.95450.27500.6035
16AB-2012-LWF058__20120513AB-2012-LWF058traintrainhighW1800.00.20970.94260.21250.5637
29AB-2014-SWF113__20140708AB-2014-SWF113traintrainhighSW1500.00.20900.93880.32500.5455
\n", + "
" + ], + "text/plain": [ + " record_id fire_id split split_source \\\n", + "0 AB-2008-MWF074__20080703 AB-2008-MWF074 train train \n", + "1 AB-2018-SWF158__20180901 AB-2018-SWF158 train train \n", + "2 AB-2012-MWF047__20120710 AB-2012-MWF047 train train \n", + "3 AB-2014-GWF044__20140715 AB-2014-GWF044 train train \n", + "4 AB-2017-CWF254__20171017 AB-2017-CWF254 train train \n", + "5 AB-2017-RWF062__20170831 AB-2017-RWF062 train train \n", + "6 AB-2006-GWF136__20060704 AB-2006-GWF136 train train \n", + "7 AB-2019-SWF069__20190526 AB-2019-SWF069 train train \n", + "8 AB-2015-SWF076__20150525 AB-2015-SWF076 train train \n", + "9 AB-2015-LWF122__20150522 AB-2015-LWF122 train train \n", + "19245 AB-2025-SWF149__20250720 AB-2025-SWF149 holdout holdout \n", + "18253 AB-2023-SWF068__20230505 AB-2023-SWF068 val val \n", + "18252 AB-2023-GWF019__20230505 AB-2023-GWF019 val val \n", + "18254 AB-2023-PWF082__20230630 AB-2023-PWF082 val val \n", + "10 AB-2006-GWF188__20060903 AB-2006-GWF188 train train \n", + "11 AB-2014-PWF095__20140802 AB-2014-PWF095 train train \n", + "12 AB-2006-GWF138__20060704 AB-2006-GWF138 train train \n", + "13 AB-2017-HWF140__20170605 AB-2017-HWF140 train train \n", + "18 AB-2006-SWF130__20060629 AB-2006-SWF130 train train \n", + "19 AB-2007-LWF025__20070501 AB-2007-LWF025 train train \n", + "20 AB-2008-RWF108__20080918 AB-2008-RWF108 train train \n", + "21 AB-2013-GWF011__20130512 AB-2013-GWF011 train train \n", + "22 AB-2006-SWF127__20060629 AB-2006-SWF127 train train \n", + "23 AB-2019-PWF066__20190518 AB-2019-PWF066 train train \n", + "24 AB-2011-LWF128__20110515 AB-2011-LWF128 train train \n", + "17 AB-2016-LWF029__20160418 AB-2016-LWF029 train train \n", + "14 AB-2012-HWF142__20120710 AB-2012-HWF142 train train \n", + "15 AB-2006-EWF173__20060704 AB-2006-EWF173 train train \n", + "16 AB-2012-LWF058__20120513 AB-2012-LWF058 train train \n", + "29 AB-2014-SWF113__20140708 AB-2014-SWF113 train train \n", + "\n", + " severity_bucket wind_direction spread_rate_1h_m base_spread_prob \\\n", + "0 high S 6000.0 0.1792 \n", + "1 medium NW 4260.0 0.1571 \n", + "2 high W 4200.0 0.1797 \n", + "3 high SW 3900.0 0.2200 \n", + "4 high W 3600.0 0.2194 \n", + "5 high SW 3000.0 0.2146 \n", + "6 high W 3000.0 0.2139 \n", + "7 high SW 3000.0 0.2098 \n", + "8 high NW 3000.0 0.2112 \n", + "9 high S 3000.0 0.2074 \n", + "19245 high S 3000.0 0.1944 \n", + "18253 high SE 3000.0 0.2126 \n", + "18252 high SE 3000.0 0.2200 \n", + "18254 high W 3000.0 0.2075 \n", + "10 high SW 2400.0 0.1776 \n", + "11 high SE 2400.0 0.2076 \n", + "12 high W 2100.0 0.1964 \n", + "13 high E 2040.0 0.1767 \n", + "18 high SW 1800.0 0.2146 \n", + "19 high S 1800.0 0.1667 \n", + "20 high W 1800.0 0.1909 \n", + "21 high W 1800.0 0.1737 \n", + "22 high NW 1800.0 0.2200 \n", + "23 high SE 1800.0 0.1698 \n", + "24 high SE 1800.0 0.2142 \n", + "17 high S 1800.0 0.1870 \n", + "14 high SW 1800.0 0.2200 \n", + "15 high W 1800.0 0.2118 \n", + "16 high W 1800.0 0.2097 \n", + "29 high SW 1500.0 0.2090 \n", + "\n", + " spread_score wind_strength weather_score \n", + "0 0.7736 0.1625 0.4535 \n", + "1 0.6504 0.1625 0.2518 \n", + "2 0.7759 0.1625 0.4640 \n", + "3 1.0000 0.2625 0.5501 \n", + "4 0.9966 0.6000 0.7679 \n", + "5 0.9700 0.3500 0.6447 \n", + "6 0.9663 0.3500 0.6520 \n", + "7 0.9432 0.2250 0.5658 \n", + "8 0.9512 0.2250 0.5962 \n", + "9 0.9298 0.1375 0.5159 \n", + "19245 0.8579 0.3500 0.6060 \n", + "18253 0.9587 0.2375 0.5894 \n", + "18252 1.0000 0.4250 0.7548 \n", + "18254 0.9307 0.2000 0.5087 \n", + "10 0.7644 0.2250 0.6054 \n", + "11 0.9310 0.1875 0.5219 \n", + "12 0.8689 0.3500 0.6520 \n", + "13 0.7596 0.1500 0.3905 \n", + "18 0.9699 0.3500 0.6687 \n", + "19 0.7037 0.3500 0.5175 \n", + "20 0.8381 0.4250 0.7410 \n", + "21 0.7428 0.4750 0.7137 \n", + "22 1.0000 0.6000 0.9005 \n", + "23 0.7212 0.4375 0.6061 \n", + "24 0.9680 0.3500 0.6621 \n", + "17 0.8169 0.3000 0.6450 \n", + "14 1.0000 0.1125 0.4814 \n", + "15 0.9545 0.2750 0.6035 \n", + "16 0.9426 0.2125 0.5637 \n", + "29 0.9388 0.3250 0.5455 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# check for spread_rate_1h_m rows above log-space 99th percentile\n", + "col = \"spread_rate_1h_m\"\n", + "mask_name = f\"{col}__log_high\"\n", + "\n", + "if mask_name in flag_mask_df.columns:\n", + " display(\n", + " df.loc[flag_mask_df[mask_name], present_id_cols + [col, \"base_spread_prob\", \"spread_score\", \"wind_strength\", \"weather_score\"]]\n", + " .sort_values(col, ascending=False)\n", + " .head(30)\n", + " )" + ] + }, + { + "cell_type": "markdown", + "id": "08b14d24-97f0-418e-9d18-6810793cd41c", + "metadata": {}, + "source": [ + "# Final Findings \n", + "\n", + "1. Biggest issue found: `spread_rate_1h_m` has 7 negative values (`pct_negative=0.000364` with a min of -60.0, which does not make sense. Possible causes: data entry error, flipped sign, or normalization gaps\n", + "2. `flag_count` returns a high number of flagged rows as expected due to the percentile-based flagging with `qlow=0.01` and `qhigh=0.99`, which flags roughly 192.46 rows each for top and bottom percentiles (top and bottom 1% of the 19246 rows of data) and sums to ~384 rows flagged\n", + "3. Because percentiles are rank based and log space percentile is monotonic, transforming a feature with `log1p` and then taking the 99th percentile before mapping it back gives the same cutoff as the raw 99th percentile on the original data.\n", + "4. `wind_strength` has no percentile flags, so this means the 1st and 99th percentile are at the exact min and max observed (since the IQR masks use < and >, nothing gets flagged)\n", + "5. `spread_rate_1h_m_log_high=162` makes sense because the log space threshold maps back to 600.0 (percentile cutoff) and only rows > 600 are flagged; so the top tail above 600 contains 162 rows (~0.84% of the data). If the feature is quantized/normalized and many rows are exactly at 600.0, this is reasonable\n", + "6. from the flagged rows, there are 2 cases: high severity, high spread and low severity, low spread with:\n", + "\n", + "high severity & spread - high `base_spread_prob`, `wind_strength`, `spread_rate_1h_m`, low `spread_score` and low `weather_score` \n", + "low severity & spread - low `base_spread_prob`, `spread_rate_1h_m` close to 0, low `spread_score`, low `weather_score`.\n", + "\n", + "This behavior of the data in the 0.01 and 0.99 percentiles can be interpreted as the extremes (the tails) of the data distribution and not actual outliers/corrupted rows. " + ] + }, + { + "cell_type": "markdown", + "id": "04bf374c-26a5-41db-8e53-fcbd13bd3954", + "metadata": {}, + "source": [ + "# Cleaning Actions \n", + "\n", + "1. Check the 7 negative `spread_rate_1h_m` rows\n", + "2. Drop the `cffdrs_dryness_score`, which needs to be dropped because it is constant" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.14.2" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/notebooks/data_outlier_audit.ipynb b/notebooks/data_outlier_audit.ipynb deleted file mode 100644 index f9df24a..0000000 --- a/notebooks/data_outlier_audit.ipynb +++ /dev/null @@ -1,1985 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "1a39a1f8", - "metadata": {}, - "source": [ - "# Data Outlier Audit\n", - "\n", - "This notebook audits seeded benchmark parameter datasets for distribution drift, missing values, duplicates, and numeric outliers before full training." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "3004a9c6", - "metadata": {}, - "outputs": [], - "source": [ - "from __future__ import annotations\n", - "\n", - "import json\n", - "from pathlib import Path\n", - "\n", - "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "import pandas as pd\n", - "import seaborn as sns\n", - "\n", - "sns.set_theme(style=\"whitegrid\")\n", - "pd.set_option(\"display.max_columns\", 200)\n", - "ROOT = Path(\"..\").resolve()\n", - "DATASETS = {\n", - " \"train\": ROOT / \"data/static/scenario_parameter_records_seeded_train.json\",\n", - " \"val\": ROOT / \"data/static/scenario_parameter_records_seeded_val.json\",\n", - " \"holdout\": ROOT / \"data/static/scenario_parameter_records_seeded_holdout.json\",\n", - "}\n", - "NUMERIC_COLUMNS = [\n", - " \"base_spread_prob\",\n", - " \"wind_strength\",\n", - " \"spread_rate_1h_m\",\n", - " \"spread_score\",\n", - " \"weather_score\",\n", - " \"cffdrs_dryness_score\",\n", - " \"size_factor\",\n", - " \"fire_type_factor\",\n", - " \"fuel_factor\",\n", - " \"rain_factor\",\n", - "]" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "b0307f60", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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record_idfire_idsourceprovinceyearsplitbase_spread_probseverity_bucketwind_directionwind_strengthspread_rate_1h_mspread_scoreweather_scorecffdrs_dryness_scoresize_factorfire_type_factorfuel_factorrain_factorobserved_spread_rate_m_minassessment_hectaresfire_typefuel_typerecord_quality_flagignition_seedlayout_seedsplit_source
0AB-2008-MWF074__20080703AB-2008-MWF074AB_HISTORICAL_WILDFIREAB2008train0.1792highS0.16256000.00.77360.45350.00.95001.001.121.0100.00.50surfaceC2measured144438558708612707511.127873e+19train
1AB-2018-SWF158__20180901AB-2018-SWF158AB_HISTORICAL_WILDFIREAB2018train0.1571mediumNW0.16254260.00.65040.25180.00.95001.001.001.071.00.01surfaceO1bmeasured101981270253347005561.445778e+19train
2AB-2012-MWF047__20120710AB-2012-MWF047AB_HISTORICAL_WILDFIREAB2012train0.1797highW0.16254200.00.77590.46400.00.95001.001.121.070.00.30surfaceC2measured80006710725651878248.493056e+17train
3AB-2014-GWF044__20140715AB-2014-GWF044AB_HISTORICAL_WILDFIREAB2014train0.2200highSW0.26253900.01.00000.55010.01.02501.181.121.065.01000.00crownC3measured151675175990697894841.618321e+19train
4AB-2017-CWF254__20171017AB-2017-CWF254AB_HISTORICAL_WILDFIREAB2017train0.2194highW0.60003600.00.99660.76790.00.95071.181.121.060.010.00crownC3measured27873512512544236581.730736e+19train
\n", - "
" - ], - "text/plain": [ - " record_id fire_id source province \\\n", - "0 AB-2008-MWF074__20080703 AB-2008-MWF074 AB_HISTORICAL_WILDFIRE AB \n", - "1 AB-2018-SWF158__20180901 AB-2018-SWF158 AB_HISTORICAL_WILDFIRE AB \n", - "2 AB-2012-MWF047__20120710 AB-2012-MWF047 AB_HISTORICAL_WILDFIRE AB \n", - "3 AB-2014-GWF044__20140715 AB-2014-GWF044 AB_HISTORICAL_WILDFIRE AB \n", - "4 AB-2017-CWF254__20171017 AB-2017-CWF254 AB_HISTORICAL_WILDFIRE AB \n", - "\n", - " year split base_spread_prob severity_bucket wind_direction \\\n", - "0 2008 train 0.1792 high S \n", - "1 2018 train 0.1571 medium NW \n", - "2 2012 train 0.1797 high W \n", - "3 2014 train 0.2200 high SW \n", - "4 2017 train 0.2194 high W \n", - "\n", - " wind_strength spread_rate_1h_m spread_score weather_score \\\n", - "0 0.1625 6000.0 0.7736 0.4535 \n", - "1 0.1625 4260.0 0.6504 0.2518 \n", - "2 0.1625 4200.0 0.7759 0.4640 \n", - "3 0.2625 3900.0 1.0000 0.5501 \n", - "4 0.6000 3600.0 0.9966 0.7679 \n", - "\n", - " cffdrs_dryness_score size_factor fire_type_factor fuel_factor \\\n", - "0 0.0 0.9500 1.00 1.12 \n", - "1 0.0 0.9500 1.00 1.00 \n", - "2 0.0 0.9500 1.00 1.12 \n", - "3 0.0 1.0250 1.18 1.12 \n", - "4 0.0 0.9507 1.18 1.12 \n", - "\n", - " rain_factor observed_spread_rate_m_min assessment_hectares fire_type \\\n", - "0 1.0 100.0 0.50 surface \n", - "1 1.0 71.0 0.01 surface \n", - "2 1.0 70.0 0.30 surface \n", - "3 1.0 65.0 1000.00 crown \n", - "4 1.0 60.0 10.00 crown \n", - "\n", - " fuel_type record_quality_flag ignition_seed layout_seed \\\n", - "0 C2 measured 14443855870861270751 1.127873e+19 \n", - "1 O1b measured 10198127025334700556 1.445778e+19 \n", - "2 C2 measured 8000671072565187824 8.493056e+17 \n", - "3 C3 measured 15167517599069789484 1.618321e+19 \n", - "4 C3 measured 2787351251254423658 1.730736e+19 \n", - "\n", - " split_source \n", - "0 train \n", - "1 train \n", - "2 train \n", - "3 train \n", - "4 train " - ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "def load_records(path: Path, split_name: str) -> pd.DataFrame:\n", - " payload = json.loads(path.read_text())\n", - " records = payload.get(\"records\", []) if isinstance(payload, dict) else payload\n", - " frame = pd.DataFrame(records)\n", - " frame[\"split_source\"] = split_name\n", - " return frame\n", - "\n", - "frames = [load_records(path, split) for split, path in DATASETS.items()]\n", - "df = pd.concat(frames, ignore_index=True)\n", - "df.head()" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "93c99575", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'rows_total': 19246,\n", - " 'rows_by_split_source': {'train': 18252, 'val': 993, 'holdout': 1},\n", - " 'rows_by_split_field': {'train': 18252, 'val': 993, 'holdout': 1},\n", - " 'unique_record_id': 19246,\n", - " 'duplicate_record_id_count': 0,\n", - " 'duplicate_fire_id_count': 0}" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "summary = {\n", - " \"rows_total\": int(len(df)),\n", - " \"rows_by_split_source\": df[\"split_source\"].value_counts(dropna=False).to_dict(),\n", - " \"rows_by_split_field\": df[\"split\"].value_counts(dropna=False).to_dict(),\n", - " \"unique_record_id\": int(df[\"record_id\"].nunique(dropna=True)),\n", - " \"duplicate_record_id_count\": int(df.duplicated(subset=[\"record_id\"]).sum()),\n", - " \"duplicate_fire_id_count\": int(df.duplicated(subset=[\"fire_id\"]).sum()),\n", - "}\n", - "summary" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "51f9ddf3", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "record_id 0\n", - "split 0\n", - "base_spread_prob 0\n", - "severity_bucket 0\n", - "wind_direction 0\n", - "wind_strength 0\n", - "ignition_seed 0\n", - "layout_seed 0\n", - "dtype: int64" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "required = [\n", - " \"record_id\",\n", - " \"split\",\n", - " \"base_spread_prob\",\n", - " \"severity_bucket\",\n", - " \"wind_direction\",\n", - " \"wind_strength\",\n", - " \"ignition_seed\",\n", - " \"layout_seed\",\n", - "]\n", - "null_counts = df[required].isna().sum().sort_values(ascending=False)\n", - "null_counts" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "6549fb3b", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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", 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", 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", 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "ename": "LinAlgError", - "evalue": "The data appears to lie in a lower-dimensional subspace of the space in which it is expressed. This has resulted in a singular data covariance matrix, which cannot be treated using the algorithms implemented in `gaussian_kde`. Consider performing principal component analysis / dimensionality reduction and using `gaussian_kde` with the transformed data.", - "output_type": "error", - "traceback": [ - "\u001b[31m---------------------------------------------------------------------------\u001b[39m", - "\u001b[31mLinAlgError\u001b[39m Traceback (most recent call last)", - "\u001b[36mFile \u001b[39m\u001b[32m~/firebot-eval/.venv/lib/python3.14/site-packages/scipy/stats/_kde.py:236\u001b[39m, in \u001b[36mgaussian_kde.__init__\u001b[39m\u001b[34m(self, dataset, bw_method, weights)\u001b[39m\n\u001b[32m 235\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m--> \u001b[39m\u001b[32m236\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mset_bandwidth\u001b[49m\u001b[43m(\u001b[49m\u001b[43mbw_method\u001b[49m\u001b[43m=\u001b[49m\u001b[43mbw_method\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 237\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m linalg.LinAlgError \u001b[38;5;28;01mas\u001b[39;00m e:\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/firebot-eval/.venv/lib/python3.14/site-packages/scipy/stats/_kde.py:579\u001b[39m, in \u001b[36mgaussian_kde.set_bandwidth\u001b[39m\u001b[34m(self, bw_method)\u001b[39m\n\u001b[32m 577\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(msg)\n\u001b[32m--> \u001b[39m\u001b[32m579\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_compute_covariance\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/firebot-eval/.venv/lib/python3.14/site-packages/scipy/stats/_kde.py:591\u001b[39m, in \u001b[36mgaussian_kde._compute_covariance\u001b[39m\u001b[34m(self)\u001b[39m\n\u001b[32m 588\u001b[39m \u001b[38;5;28mself\u001b[39m._data_covariance = atleast_2d(cov(\u001b[38;5;28mself\u001b[39m.dataset, rowvar=\u001b[32m1\u001b[39m,\n\u001b[32m 589\u001b[39m bias=\u001b[38;5;28;01mFalse\u001b[39;00m,\n\u001b[32m 590\u001b[39m aweights=\u001b[38;5;28mself\u001b[39m.weights))\n\u001b[32m--> \u001b[39m\u001b[32m591\u001b[39m \u001b[38;5;28mself\u001b[39m._data_cho_cov = \u001b[43mlinalg\u001b[49m\u001b[43m.\u001b[49m\u001b[43mcholesky\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_data_covariance\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 592\u001b[39m \u001b[43m \u001b[49m\u001b[43mlower\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m)\u001b[49m\n\u001b[32m 594\u001b[39m \u001b[38;5;28mself\u001b[39m.covariance = \u001b[38;5;28mself\u001b[39m._data_covariance * \u001b[38;5;28mself\u001b[39m.factor**\u001b[32m2\u001b[39m\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/firebot-eval/.venv/lib/python3.14/site-packages/scipy/_lib/_util.py:1181\u001b[39m, in \u001b[36m_apply_over_batch..decorator..wrapper\u001b[39m\u001b[34m(*args, **kwargs)\u001b[39m\n\u001b[32m 1180\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28many\u001b[39m(batch_shapes):\n\u001b[32m-> \u001b[39m\u001b[32m1181\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mf\u001b[49m\u001b[43m(\u001b[49m\u001b[43m*\u001b[49m\u001b[43marrays\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43mother_args\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 1183\u001b[39m \u001b[38;5;66;03m# Determine broadcasted batch shape\u001b[39;00m\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/firebot-eval/.venv/lib/python3.14/site-packages/scipy/linalg/_decomp_cholesky.py:106\u001b[39m, in \u001b[36mcholesky\u001b[39m\u001b[34m(a, lower, overwrite_a, check_finite)\u001b[39m\n\u001b[32m 52\u001b[39m \u001b[38;5;250m\u001b[39m\u001b[33;03m\"\"\"\u001b[39;00m\n\u001b[32m 53\u001b[39m \u001b[33;03mCompute the Cholesky decomposition of a matrix.\u001b[39;00m\n\u001b[32m 54\u001b[39m \n\u001b[32m (...)\u001b[39m\u001b[32m 104\u001b[39m \n\u001b[32m 105\u001b[39m \u001b[33;03m\"\"\"\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m106\u001b[39m c, lower = \u001b[43m_cholesky\u001b[49m\u001b[43m(\u001b[49m\u001b[43ma\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlower\u001b[49m\u001b[43m=\u001b[49m\u001b[43mlower\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43moverwrite_a\u001b[49m\u001b[43m=\u001b[49m\u001b[43moverwrite_a\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mclean\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[32m 107\u001b[39m \u001b[43m \u001b[49m\u001b[43mcheck_finite\u001b[49m\u001b[43m=\u001b[49m\u001b[43mcheck_finite\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 108\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m c\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/firebot-eval/.venv/lib/python3.14/site-packages/scipy/linalg/_decomp_cholesky.py:39\u001b[39m, in \u001b[36m_cholesky\u001b[39m\u001b[34m(a, lower, overwrite_a, clean, check_finite)\u001b[39m\n\u001b[32m 38\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m info > \u001b[32m0\u001b[39m:\n\u001b[32m---> \u001b[39m\u001b[32m39\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m LinAlgError(\n\u001b[32m 40\u001b[39m \u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00minfo\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m-th leading minor of the array is not positive definite\u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m 41\u001b[39m )\n\u001b[32m 42\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m info < \u001b[32m0\u001b[39m:\n", - "\u001b[31mLinAlgError\u001b[39m: 1-th leading minor of the array is not positive definite", - "\nThe above exception was the direct cause of the following exception:\n", - "\u001b[31mLinAlgError\u001b[39m Traceback (most recent call last)", - "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[5]\u001b[39m\u001b[32m, line 4\u001b[39m\n\u001b[32m 1\u001b[39m \u001b[38;5;28;01mfor\u001b[39;00m col \u001b[38;5;28;01min\u001b[39;00m NUMERIC_COLUMNS:\n\u001b[32m 2\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m col \u001b[38;5;28;01min\u001b[39;00m df.columns:\n\u001b[32m 3\u001b[39m fig, ax = plt.subplots(\u001b[32m1\u001b[39m, \u001b[32m2\u001b[39m, figsize=(\u001b[32m13\u001b[39m, \u001b[32m4\u001b[39m))\n\u001b[32m----> \u001b[39m\u001b[32m4\u001b[39m sns.histplot(data=df, x=col, hue=\u001b[33m\"split_source\"\u001b[39m, kde=\u001b[38;5;28;01mTrue\u001b[39;00m, ax=ax[\u001b[32m0\u001b[39m], stat=\u001b[33m\"density\"\u001b[39m, common_norm=\u001b[38;5;28;01mFalse\u001b[39;00m)\n\u001b[32m 5\u001b[39m sns.boxplot(data=df, x=\u001b[33m\"split_source\"\u001b[39m, y=col, ax=ax[\u001b[32m1\u001b[39m])\n\u001b[32m 6\u001b[39m ax[\u001b[32m0\u001b[39m].set_title(f\"Distribution: {col}\")\n\u001b[32m 7\u001b[39m ax[\u001b[32m1\u001b[39m].set_title(f\"Boxplot by split: {col}\")\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/firebot-eval/.venv/lib/python3.14/site-packages/seaborn/distributions.py:1416\u001b[39m, in \u001b[36mhistplot\u001b[39m\u001b[34m(data, x, y, hue, weights, stat, bins, binwidth, binrange, discrete, cumulative, common_bins, common_norm, multiple, element, fill, shrink, kde, kde_kws, line_kws, thresh, pthresh, pmax, cbar, cbar_ax, cbar_kws, palette, hue_order, hue_norm, color, log_scale, legend, ax, **kwargs)\u001b[39m\n\u001b[32m 1405\u001b[39m estimate_kws = \u001b[38;5;28mdict\u001b[39m(\n\u001b[32m 1406\u001b[39m stat=stat,\n\u001b[32m 1407\u001b[39m bins=bins,\n\u001b[32m (...)\u001b[39m\u001b[32m 1411\u001b[39m cumulative=cumulative,\n\u001b[32m 1412\u001b[39m )\n\u001b[32m 1414\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m p.univariate:\n\u001b[32m-> \u001b[39m\u001b[32m1416\u001b[39m \u001b[43mp\u001b[49m\u001b[43m.\u001b[49m\u001b[43mplot_univariate_histogram\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 1417\u001b[39m \u001b[43m \u001b[49m\u001b[43mmultiple\u001b[49m\u001b[43m=\u001b[49m\u001b[43mmultiple\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1418\u001b[39m \u001b[43m \u001b[49m\u001b[43melement\u001b[49m\u001b[43m=\u001b[49m\u001b[43melement\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1419\u001b[39m \u001b[43m \u001b[49m\u001b[43mfill\u001b[49m\u001b[43m=\u001b[49m\u001b[43mfill\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1420\u001b[39m \u001b[43m \u001b[49m\u001b[43mshrink\u001b[49m\u001b[43m=\u001b[49m\u001b[43mshrink\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1421\u001b[39m \u001b[43m \u001b[49m\u001b[43mcommon_norm\u001b[49m\u001b[43m=\u001b[49m\u001b[43mcommon_norm\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1422\u001b[39m \u001b[43m \u001b[49m\u001b[43mcommon_bins\u001b[49m\u001b[43m=\u001b[49m\u001b[43mcommon_bins\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1423\u001b[39m \u001b[43m \u001b[49m\u001b[43mkde\u001b[49m\u001b[43m=\u001b[49m\u001b[43mkde\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1424\u001b[39m \u001b[43m \u001b[49m\u001b[43mkde_kws\u001b[49m\u001b[43m=\u001b[49m\u001b[43mkde_kws\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1425\u001b[39m \u001b[43m \u001b[49m\u001b[43mcolor\u001b[49m\u001b[43m=\u001b[49m\u001b[43mcolor\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1426\u001b[39m \u001b[43m \u001b[49m\u001b[43mlegend\u001b[49m\u001b[43m=\u001b[49m\u001b[43mlegend\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1427\u001b[39m \u001b[43m \u001b[49m\u001b[43mestimate_kws\u001b[49m\u001b[43m=\u001b[49m\u001b[43mestimate_kws\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1428\u001b[39m \u001b[43m \u001b[49m\u001b[43mline_kws\u001b[49m\u001b[43m=\u001b[49m\u001b[43mline_kws\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1429\u001b[39m \u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1430\u001b[39m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 1432\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m 1434\u001b[39m p.plot_bivariate_histogram(\n\u001b[32m 1435\u001b[39m common_bins=common_bins,\n\u001b[32m 1436\u001b[39m common_norm=common_norm,\n\u001b[32m (...)\u001b[39m\u001b[32m 1446\u001b[39m **kwargs,\n\u001b[32m 1447\u001b[39m )\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/firebot-eval/.venv/lib/python3.14/site-packages/seaborn/distributions.py:447\u001b[39m, in \u001b[36m_DistributionPlotter.plot_univariate_histogram\u001b[39m\u001b[34m(self, multiple, element, fill, common_norm, common_bins, shrink, kde, kde_kws, color, legend, line_kws, estimate_kws, **plot_kws)\u001b[39m\n\u001b[32m 445\u001b[39m kde_kws.setdefault(\u001b[33m\"\u001b[39m\u001b[33mcut\u001b[39m\u001b[33m\"\u001b[39m, \u001b[32m0\u001b[39m)\n\u001b[32m 446\u001b[39m kde_kws[\u001b[33m\"\u001b[39m\u001b[33mcumulative\u001b[39m\u001b[33m\"\u001b[39m] = estimate_kws[\u001b[33m\"\u001b[39m\u001b[33mcumulative\u001b[39m\u001b[33m\"\u001b[39m]\n\u001b[32m--> \u001b[39m\u001b[32m447\u001b[39m densities = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_compute_univariate_density\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 448\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mdata_variable\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 449\u001b[39m \u001b[43m \u001b[49m\u001b[43mcommon_norm\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 450\u001b[39m \u001b[43m \u001b[49m\u001b[43mcommon_bins\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 451\u001b[39m \u001b[43m \u001b[49m\u001b[43mkde_kws\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 452\u001b[39m \u001b[43m \u001b[49m\u001b[43mwarn_singular\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[32m 453\u001b[39m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 455\u001b[39m \u001b[38;5;66;03m# First pass through the data to compute the histograms\u001b[39;00m\n\u001b[32m 456\u001b[39m \u001b[38;5;28;01mfor\u001b[39;00m sub_vars, sub_data \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m.iter_data(\u001b[33m\"\u001b[39m\u001b[33mhue\u001b[39m\u001b[33m\"\u001b[39m, from_comp_data=\u001b[38;5;28;01mTrue\u001b[39;00m):\n\u001b[32m 457\u001b[39m \n\u001b[32m 458\u001b[39m \u001b[38;5;66;03m# Prepare the relevant data\u001b[39;00m\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/firebot-eval/.venv/lib/python3.14/site-packages/seaborn/distributions.py:313\u001b[39m, in \u001b[36m_DistributionPlotter._compute_univariate_density\u001b[39m\u001b[34m(self, data_variable, common_norm, common_grid, estimate_kws, warn_singular)\u001b[39m\n\u001b[32m 311\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m common_grid:\n\u001b[32m 312\u001b[39m all_observations = \u001b[38;5;28mself\u001b[39m.comp_data.dropna()\n\u001b[32m--> \u001b[39m\u001b[32m313\u001b[39m \u001b[43mestimator\u001b[49m\u001b[43m.\u001b[49m\u001b[43mdefine_support\u001b[49m\u001b[43m(\u001b[49m\u001b[43mall_observations\u001b[49m\u001b[43m[\u001b[49m\u001b[43mdata_variable\u001b[49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 314\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m 315\u001b[39m common_norm = \u001b[38;5;28;01mFalse\u001b[39;00m\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/firebot-eval/.venv/lib/python3.14/site-packages/seaborn/_statistics.py:128\u001b[39m, in \u001b[36mKDE.define_support\u001b[39m\u001b[34m(self, x1, x2, weights, cache)\u001b[39m\n\u001b[32m 126\u001b[39m \u001b[38;5;250m\u001b[39m\u001b[33;03m\"\"\"Create the evaluation grid for a given data set.\"\"\"\u001b[39;00m\n\u001b[32m 127\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m x2 \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[32m--> \u001b[39m\u001b[32m128\u001b[39m support = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_define_support_univariate\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx1\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mweights\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 129\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m 130\u001b[39m support = \u001b[38;5;28mself\u001b[39m._define_support_bivariate(x1, x2, weights)\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/firebot-eval/.venv/lib/python3.14/site-packages/seaborn/_statistics.py:100\u001b[39m, in \u001b[36mKDE._define_support_univariate\u001b[39m\u001b[34m(self, x, weights)\u001b[39m\n\u001b[32m 98\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34m_define_support_univariate\u001b[39m(\u001b[38;5;28mself\u001b[39m, x, weights):\n\u001b[32m 99\u001b[39m \u001b[38;5;250m \u001b[39m\u001b[33;03m\"\"\"Create a 1D grid of evaluation points.\"\"\"\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m100\u001b[39m kde = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_fit\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mweights\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 101\u001b[39m bw = np.sqrt(kde.covariance.squeeze())\n\u001b[32m 102\u001b[39m grid = \u001b[38;5;28mself\u001b[39m._define_support_grid(\n\u001b[32m 103\u001b[39m x, bw, \u001b[38;5;28mself\u001b[39m.cut, \u001b[38;5;28mself\u001b[39m.clip, \u001b[38;5;28mself\u001b[39m.gridsize\n\u001b[32m 104\u001b[39m )\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/firebot-eval/.venv/lib/python3.14/site-packages/seaborn/_statistics.py:143\u001b[39m, in \u001b[36mKDE._fit\u001b[39m\u001b[34m(self, fit_data, weights)\u001b[39m\n\u001b[32m 140\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m weights \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[32m 141\u001b[39m fit_kws[\u001b[33m\"\u001b[39m\u001b[33mweights\u001b[39m\u001b[33m\"\u001b[39m] = weights\n\u001b[32m--> \u001b[39m\u001b[32m143\u001b[39m kde = \u001b[43mgaussian_kde\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfit_data\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mfit_kws\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 144\u001b[39m kde.set_bandwidth(kde.factor * \u001b[38;5;28mself\u001b[39m.bw_adjust)\n\u001b[32m 146\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m kde\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/firebot-eval/.venv/lib/python3.14/site-packages/scipy/stats/_kde.py:245\u001b[39m, in \u001b[36mgaussian_kde.__init__\u001b[39m\u001b[34m(self, dataset, bw_method, weights)\u001b[39m\n\u001b[32m 237\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m linalg.LinAlgError \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[32m 238\u001b[39m msg = (\u001b[33m\"\u001b[39m\u001b[33mThe data appears to lie in a lower-dimensional subspace \u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m 239\u001b[39m \u001b[33m\"\u001b[39m\u001b[33mof the space in which it is expressed. This has resulted \u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m 240\u001b[39m \u001b[33m\"\u001b[39m\u001b[33min a singular data covariance matrix, which cannot be \u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m (...)\u001b[39m\u001b[32m 243\u001b[39m \u001b[33m\"\u001b[39m\u001b[33manalysis / dimensionality reduction and using \u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m 244\u001b[39m \u001b[33m\"\u001b[39m\u001b[33m`gaussian_kde` with the transformed data.\u001b[39m\u001b[33m\"\u001b[39m)\n\u001b[32m--> \u001b[39m\u001b[32m245\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m linalg.LinAlgError(msg) \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01me\u001b[39;00m\n", - "\u001b[31mLinAlgError\u001b[39m: The data appears to lie in a lower-dimensional subspace of the space in which it is expressed. This has resulted in a singular data covariance matrix, which cannot be treated using the algorithms implemented in `gaussian_kde`. Consider performing principal component analysis / dimensionality reduction and using `gaussian_kde` with the transformed data." - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "for col in NUMERIC_COLUMNS:\n", - " if col in df.columns:\n", - " fig, ax = plt.subplots(1, 2, figsize=(13, 4))\n", - " sns.histplot(data=df, x=col, hue=\"split_source\", kde=True, ax=ax[0], stat=\"density\", common_norm=False)\n", - " sns.boxplot(data=df, x=\"split_source\", y=col, ax=ax[1])\n", - " ax[0].set_title(f\"Distribution: {col}\")\n", - " ax[1].set_title(f\"Boxplot by split: {col}\")\n", - " plt.tight_layout()\n", - " plt.show()\n", - "\n", - "\n", - "sns.histplot(\n", - " data=df,\n", - " x=col,\n", - " hue=\"split_source\",\n", - " kde=False, # 🔥 turn this off\n", - " ax=ax[0],\n", - " stat=\"density\",\n", - " common_norm=False\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "b318d05e", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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kyZOWsuvXrzfuuOMOy3trtnr1asPf39/44YcfLMtatWplTJw48abnavbtt98a/v7+RocOHYzk5GTLcvNnuWLFCsuyQYMGGQMGDLDafvPmzYa/v7/x7bff3vAYiYmJhr+/v7F8+fKb1qVjx46Gv7+/8cUXX1iWJScnG8HBwUafPn1s6nztMfPzHQEAFNzvv/9u+Pv7G4sXLzYMwzAyMzONVq1aGevWrTMMwzDuueceY+XKlYZhXP0b3qRJE6vrfW5/w4cOHWr4+/tb9mEYhpGenm4EBwdbxRrvvPOO4e/vb8TExFiWpaamGl27dr3ltcgwDOOZZ54xWrRoYZw6dcqy7MiRI0aTJk0Mf39/q7IdO3a0upaar9WDBw82srKyLMvzE+sMGTLECAoKsjq+YfwdDxiGYSxfvtzw9/c3Tpw4YVP/6+v0f//3f1Zxl7k+nTp1Mjp27GiJhczveY8ePYz09HRL2RUrVhj+/v7GoUOHbvCOXZXX+CgpKclo0aKF8Z///Meq3Msvv2y0atXKuHz58g2P8eWXX1pioRsxx1+BgYHG2bNnLcv3799v+Pv7GzNnzrSp87Wuf/82bdqUp+8NAJRV5mvff//7X+PixYvGmTNnjNjYWKNdu3ZG8+bNjTNnzljKPvroo0avXr2srjM5OTnGoEGDjG7dulmWvf7664a/v7+xefNmm+OZr4fm6/2nn35qWZeRkWEMGjTIaNWqlaXdar4utG7d2rh48aLVvvJzzb9eRkaG0b59e6N3795W5/Phhx8a/v7+xtChQ23eo+uv27nFO2lpaTbHWrp0qREQEGBVz8Jcw7Kzs43Q0FBj3LhxVsvffvttIyAgwPjjjz9ueu7mY1//fg4dOtTqvLOysqzeG8O42u6/5557jMmTJ1uWffHFF4a/v7/xzjvvWNXxkUceydM9GvP727dvX6v7V1FRUYa/v7+xZcuWQp/3r7/+avj7+xubNm26aV38/f0Nf39/46effrIsO3XqlNGiRQtj5MiRNnW+9jtx/ft34MCBPJ0/nAdDSAFFIDg4WB988IE6deqk3377TcuXL1dERIRCQ0OtunR++eWXysnJUY8ePZSQkGD577bbblODBg0s3R9NJpPuv/9+bd++XZcvX7Zsv2nTJtWsWdOSQf7vf/+rpKQk9ezZ02p/Li4uatmyZa7d9AcPHlyoc+3du7fOnz9vte8NGzaoQoUK6tatW572MWTIEKvX5h4HO3bsyFddcnJytGXLFnXs2NEyZui1rp+I89y5cxo6dKgyMzO1atUq1alTx7IuNjZWjRo1kp+fn9V7aZ4otbBDHvTp00eVKlWyvL7//vtVvXp1bd++3bKsd+/e2r9/v/744w/Lsg0bNqhWrVpq06bNDfddoUIFubm56X//+59VN8/c1KhRw+qJ0UqVKqlPnz769ddfdeHChYKcGgCgCDVq1EhVqlSxzG3x22+/KTU1VUFBQZKkoKAg7d27V5L0448/Kjs72xIX3Iynp6d69+5tee3u7q4WLVpYDU+xY8cOVa9eXffff79lmYeHh6XH4c1kZ2dr586d6tKli2rXrm11PiEhIbfc3mzgwIGWXqZS3mOdhIQEff/99/rnP/9pdXzJNh7Iq+3btyswMNAylIckVaxYUYMGDdKpU6d05MgRq/L9+vWz6vl5oyFAbuRW8VHlypXVuXNnff755zIMQ9LV933Tpk3q3LnzTecLMT/d+PXXX+c6/MO1unTpYtWjNjAwUC1btrSKWQAAReexxx6zDJ04ZswYeXh46M0339Ttt98uSbp06ZK+/fZb9ejRQykpKZZr4V9//aWQkBAdO3bMMpTz5s2bdccdd9j0EpT+vh6ar/e9evWyrHNzc1N4eLhSU1Nthuzp1q2bVW/Fwl7zf/75Z128eFEPPfSQ1XWzb9++hZob4toRJlJTU5WQkKCgoCAZhpHrMNgF4eLiogceeEDbtm1TSkqKZflnn32moKAg1atXr0iO4+rqanlvcnJydOnSJWVlZal58+ZW5/LNN9/Izc3NKlZzcXGxiSluZdCgQVbzXg4ePFjlypWzXPsLc97m+yA7d+7MdZj0awUFBal58+aW17Vr11bnzp21c+dOq2HUUfYwhBRQRAIDA7Vo0SJlZGTot99+05YtW/TOO+9o7NixWr9+vRo3bqxjx47JMIwb3ugvV+7vn2RYWJhWrFihbdu26YEHHtDly5e1fft2DRo0yBJ4HDt2TJJsuniaXXvD3Lx/cxBUUMHBwapevbo+++wztW/fXjk5Odq4caM6d+5sc7wbadCggdXr+vXry8XFxWZcy1tJSEhQSkqK/vGPf+Sp/PPPP69y5copJiZG1atXt1p3/PhxHT161DK3w/UKOxn79edsMpnUoEEDS/dg6epnPnPmTH322WcaNWqUkpOT9dVXX+mxxx676c0Xd3d3TZgwQa+88oqCg4PVsmVL3XffferTp4/NeTZo0MBmXw0bNpR0tavy9eUBACXLZDIpKChIe/bsUU5Ojvbu3atq1apZriNBQUFatWqVJFkSGXlJYNx+++02f//NQ0CYnTp1KtfrhK+v7y33n5CQoCtXrthc78zb5/Xm97XDHkp5j3XMSYK8Di+QF6dPn1bLli1tlpuHkjh9+rTV8a5PnJiH/khKSsrT8fISH/Xp00cxMTHas2eP7r77bv33v//Vn3/+aZWcyk2bNm3UvXt3LVq0SO+8847atGmjLl266IEHHrAZbjO3z7Bhw4batGlTns4DAJA/kZGR8vX1VXJystauXavvv//e6m/zH3/8IcMw9Prrr+v111/PdR8XL15UzZo19ccff9zywULz9d7FxfqZZvMwf6dPn7Zafv21ubDXfPP+r9/ezc2tUAmA06dPa8GCBdq2bZvNg33X3nQvrD59+igqKkpbtmxRnz59FBcXp19++UUvvvhikR1DktatW6e33npL8fHxVg8fXPt5nD59WtWrV5eHh4fVtnkZ5vpa138WFStWVPXq1a3uVxT0vOvVq6fHH39cb7/9tjZs2KC77rpLnTp10oMPPmiTsLpRDJKWlqaEhATuV5RhJDCAIubu7q7AwEAFBgaqYcOGmjx5smJjYzVq1Cjl5OTIZDIpKirK6ulCs2ufnGvVqpXq1KmjTZs26YEHHtBXX32lK1euKCwszFLG/PTdnDlzcv1Dfv0x3N3dbYKU/HJ1ddUDDzygNWvWaPr06dq7d6/Onz9/w0kl8+L6GyU3ullf2Ix7t27dtH79er377rt67rnnrNbl5OTI39/fajLLaxU28ZMX3t7e6tixozZs2KBRo0YpNjZWGRkZeXpvH3vsMXXq1ElbtmzRzp079frrr2vZsmVasWKFzXwlAADHduedd+qrr77S4cOHLfNfmAUFBWnOnDk6d+6cfvjhB9WoUSNPjf3c4g5HdP18T/mNdezpRjGW+RzyK7d4KCQkRLfddps+++wz3X333frss89UvXp13XPPPbfc14IFC/Tjjz/qq6++0jfffKMpU6bo7bff1ocffqiKFSsWqI4AgMILDAy0jCjQpUsXPfzww3ruuecUGxurihUrKicnR9LVyZI7dOiQ6z7ye8M6P3KbO7Ok3OjegPk9McvOztbjjz9umfPLz89Pnp6eOnfunCZNmmRTvjAaN26sZs2a6bPPPlOfPn302Wefyc3NzWr+0sL69NNPNWnSJHXp0kURERGqVq2aXF1dtXTp0jz37CxqhTnvSZMmqW/fvtq6dat27dqlGTNmaOnSpVqzZk2J3GuB8yOBARQjc9e38+fPS7oaVBiGobp16+bpacYePXro3XffVUpKimJiYlSnTh21atXKst58w6JatWq3bLjmx62GWujdu7feeustbdu2TTt27JCPj0++hoc4fvy41c2W48ePKycnx/Ikgbe3tyTbJxavfxLEx8dHlSpV0u+//56n4w4dOlT169fXggULVLlyZY0YMcKyrn79+vrtt9/Uvn37Ag81cTPHjx+3em0Yho4fP24zaVfv3r31zDPP6MCBA5bJ0vPaw6R+/foaNmyYhg0bpmPHjqlPnz566623NHfuXKt6GIZhdY7mp1uvHVLrVorjPQIAXGXuUfHDDz9o7969Vr0PmjdvLnd3d3333Xc6cOCAQkNDi+y4derU0eHDh22uE/Hx8bfc1sfHRxUqVLC53uV1+xvJa6xjLnf48OGb7i8/16/atWvnWve4uDjL+qJ0q/hIupqw6dWrl9atW6cJEyZoy5YtNsNu3UyrVq3UqlUrjR8/Xhs2bNCECRMUExOjAQMGWB33eseOHctXnCARKwBAQbi6uurZZ5/VI488olWrVmnEiBGWa4Obm9st2/3169e/Zfu4Tp06OnTokHJycqyS73m9vhX2mm/e//Hjx61GQMjMzNTJkyd1xx13WJaZezMmJydb7ePangHS1ev/sWPH9Morr6hPnz6W5bt27bplfXJzq2tYnz59NHv2bJ0/f14bN27UfffdZ7mPURS++OIL1atXT4sWLbKqy/WTkdeuXVvfffed0tLSrHphXDssdV4cP37cMny2dHUy+AsXLtjEmYU574CAAAUEBOiZZ57R3r17NXjwYK1evVrjx4+3qsf1jh07Jg8PD6thzG6FGKT0YQ4MoAh8++23uT5dZ+46aR5qoFu3bnJ1ddWiRYtsyhuGob/++stqWVhYmDIyMrRu3Tp98803NpntDh06qFKlSlq6dGmu4xknJCQU6HzMF74bDXlwxx13KCAgQB9//LE2b96snj17Wg1/dSvmoS/MVq5cKUmWi2OlSpVUtWpV7dmzx6rc+++/b/XaxcVFXbp00VdffaWffvrJ5ji5fSYjR47UsGHD9Oqrr1rtr0ePHjp37pzWrFljs82VK1eUmppqee3p6Znn4SDM1q9fb9VtNTY2NteAIDQ0VFWrVtXy5cv1/fff56n3RVpamtLT062W1a9fXxUrVlRGRobV8vPnz+vLL7+0vE5JSdH69evVpEmTfHXHvNV3BABQcM2bN1f58uW1YcMGnTt3zqoHhru7u5o1a6b3339fqampeRo+Kq9CQ0N1/vx5xcbGWpalpaXlem28nqurq0JCQrRlyxarBw6OHj2qnTt3FrhOeY11fHx8dPfdd2vt2rU2DzxcGw+Yr1/X3wjJzb333qsDBw5o3759lmWpqalas2aN6tSpo8aNGxfonG7kVvGRWe/evZWYmKjIyEilpqbmKVZITEy0iYuaNGkiSTaxwpYtWyxjqUvSgQMHtH///nwny/LzXgMA/ta2bVsFBgZqxYoVSk9PV7Vq1dSmTRt9+OGHlocjr3Vtu79bt2767bffrNp8ZubrQGhoqC5cuKCYmBjLuqysLL333nvy9PTU3XfffdP6Ffaa37x5c/n4+OiDDz6wugatW7fOpn1p7lly7bwc2dnZNrGJORFz7bXOMAy9++67t6xPbm51DevVq5dMJpP+7//+TydOnCjUiBS5MT+YcO357N+/Xz/++KNVuZCQEGVmZlq9Hzk5OTYxxa18+OGHVnHW6tWrlZWVZXPtL8h5p6SkKCsry2qZv7+/XFxcbGKQffv26ZdffrG8PnPmjLZu3arg4OB89brlfkXpQw8MoAjMmDFDaWlp6tq1q/z8/JSZmam9e/dq06ZNqlOnjvr16yfp6sV33LhxevXVV3Xq1Cl16dJFFStW1MmTJy1P0EVERFj226xZMzVo0EDz5s1TRkaG1fBR0tUb/dOnT9e//vUv9evXT2FhYfLx8dHp06e1fft2tW7dWpGRkfk+nwoVKqhx48batGmTGjZsqCpVqugf//iH1TjPffr00SuvvCJJ+b5Ynzx5Uk899ZQ6dOigH3/8UZ999pl69epl9aTFgAEDtGzZMv373/9W8+bNtWfPnlyf5nj22We1a9cuhYeHa+DAgWrUqJEuXLig2NhYvf/++5YnNq41ceJEpaSk6KWXXlLFihXVu3dv9e7dW5s2bdILL7yg7777Tq1bt1Z2drbi4uIUGxur5cuXW7r1NmvWTLt379bbb7+tGjVqqG7durmOkX0tb29vPfzww+rXr58uXryoFStWqEGDBjYTo7q5ualnz55auXKlXF1d1bNnz1u+n8eOHdNjjz2m+++/X40bN5arq6u2bNmiP//802b7hg0b6t///rd++uknVatWTWvXrtXFixc1a9asWx7nWnn5jgAACsY8wfaePXvk7u5uNZmhdHUYqbfeektS3ua/yKuBAwdq1apVmjhxon755RdVr15dn376aZ6Hjhg9erS++eYbDRkyRIMHD1Z2drZWrlypxo0bW821kR/5iXWmTp2qwYMHq2/fvho0aJDq1q2rU6dO6euvv9ann34q6eo1XJLmzZunsLAwubm5qWPHjrlOgD1ixAh9/vnnGj58uMLDw+Xt7a3169fr5MmTWrhwYaGH5bxeXuIjSWratKn8/f0VGxurRo0aWc7pZtatW6fVq1erS5cuql+/vi5fvqw1a9aoUqVKNjcn6tevr8GDB2vw4MHKyMjQu+++qypVquiJJ57I1/k0adJErq6uioqKUnJystzd3dWuXTtVq1YtX/sBgLIoIiJCY8eO1SeffKLBgwfrhRde0MMPP6wHHnhAAwcOVL169fTnn3/qxx9/1NmzZ/XZZ59Ztvviiy80duxY/fOf/1SzZs2UmJiobdu26cUXX9Qdd9yhQYMG6cMPP9SkSZP0yy+/qE6dOvriiy+0d+9eTZkyJU9zWxbmmu/m5qZx48YpMjJSjz76qMLCwnTy5El98sknNsNi/uMf/1CrVq302muvKTExUd7e3oqJibG5Ie7n56f69evrlVde0blz51SpUiV98cUXBb6BfatrmI+Pjzp06KDY2Fh5eXnpvvvuK9BxbuS+++7T5s2bNXLkSN133306efKkPvjgAzVu3Njq4couXbooMDBQr7zyiv744w/5+flZzQGS154ImZmZeuyxx9SjRw/Fx8fr/fff15133qnOnTtblSvIeX/77bd66aWXdP/996thw4bKzs7Wp59+KldXV3Xv3t2qrL+/vyIiIhQeHi53d3etXr1a0tXvW37Ur19fXl5e+uCDD1SxYkV5enoqMDCwyCZZR8kjgQEUgX/961+KjY3V9u3bLZnr2rVr6+GHH9bTTz9tdRN9xIgRatiwod555x0tXrxY0tX5FYKDg9WpUyebfffo0UNLlixRgwYNcm2gPvDAA6pRo4aWLVum6OhoZWRkqGbNmrrrrrssiZOCmDFjhl5++WXNmjVLmZmZGjVqlNXN6QceeEBz585VvXr1FBgYmK99z58/X6+//rpeffVVlStXTkOHDtW//vUvqzIjR45UQkKCvvjiC23atEmhoaFavny5zSTbNWvW1Jo1a/T6669rw4YNSklJUc2aNRUaGnrTGy4vvviiUlNTNWXKFFWsWFFdunTR4sWL9c477+jTTz/Vl19+KQ8PD9WtW1fh4eFWQ35NmjRJkZGRmj9/vq5cuaK+ffveMoHx1FNP6dChQ1q2bJkuX76s9u3b64UXXrCZbEu6+mTlypUr1b59e9WoUeOW7+ftt9+unj17avfu3frss8/k6uoqPz8/zZ8/3yYgaNiwoaZNm6Y5c+YoPj5edevW1bx58244lurN3Oo7AgAouDvvvFN79uxRs2bNbCZZbt26td566y1VrFjR5uZ2YXh4eOidd97Ryy+/rJUrV6pChQp64IEHFBoamqeb13fccYeio6M1a9YsLViwQLfffrtGjx6tCxcuFDiBIeU91rnjjjssMcHq1auVnp6u2rVrW/VgDQwM1NixY/XBBx/om2++UU5OjrZu3ZprAuO2227TBx98oP/85z9auXKl0tPTFRAQoCVLlhT5jQopb/GRWe/evfWf//znlpN3m7Vp00Y//fSTYmJi9Oeff6py5coKDAy0xHLX6tOnj1xcXLRixQpdvHhRgYGBmjZtWp5ikmtVr15dL774opYuXap///vfys7O1rvvvksCAwDyoFu3bqpfv77eeustDRw4UI0bN9batWu1aNEirVu3TpcuXZKPj4+aNm2qkSNHWrarWLGiVq1apYULF+rLL7/UunXrVK1aNbVv3141a9aUdPVhtPfee09z587VunXrlJKSIl9fX82aNSvP9xAKe80fNGiQsrOzFR0drTlz5sjf319vvvlmrpOUz507V5GRkVq2bJm8vLzUv39/tW3bVo8//riljJubm5YsWWKZW6F8+fLq2rWrhgwZkudr5bXycg3r3bu3vvrqK/Xo0cMmViusfv366c8//9SHH36onTt3qnHjxvrPf/6j2NhY/e9//7OUM8+L8X//939at26dXFxc1LVrV40cOVKDBw+2mVvsRiIjI7VhwwYtWLBAmZmZ6tmzp6ZOnZprAiS/5x0QEKCQkBB99dVXOnfunDw8PBQQEKCoqCirIdIl6e6771arVq20ePFinT59Wo0bN9asWbPyHe+6ublp9uzZeu211zR9+nRlZWVp1qxZJDCcmMko6KxyAMq0hIQEdejQQc8884xVwITC++2339S7d2+b8TsLq1OnTvrHP/6hpUuXFtk+AQBAyVuxYoVmzZqlbdu2FdlcHCdPnlTnzp31r3/9y6pHMAAAJSU8PFyS9N5779m5Jre2ZcsWjRw5UqtWrdJdd91l7+pYMdfN3JOiOPZd1OcdEBCgIUOGFGgUEZR+zIEBoEDWrVun7OzsAj3NgJtbs2aNPD091a1bN3tXBQAAOBjDMPTxxx/r7rvvLvKJxAEAQN589NFHqlevXpEnCPLrypUrVq+zs7P13nvvqVKlSnkaZjK/HOW8UbYwhBSAfNm9e7eOHj2qJUuWqEuXLqpbt669q1RqbNu2TUeOHNGaNWs0ZMiQXIezAAAAZVNqaqq2bdum7777TocPH9Ybb7xh7yoBAFDmfP755zp06JC+/vpr/fvf/87zPBPF5eWXX9aVK1cUFBSkjIwMbd68Wfv27dOzzz6b53nM8sLRzhtlCwkMAPnyxhtvaN++fQoKCtK0adPsXZ1SZcaMGfrzzz8VGhqa70mqAABA6ZaQkKDnnntOXl5eeuqpp2wm1gQAAMXv2Weflaenp/r376+HH37Y3tVRu3bt9Pbbb+vrr79Wenq6GjRooGnTpmno0KFFehxHO2+ULcyBAQAAAAAAAAAAHA5zYAAAAAAAAAAAAIdDAgMAAAAAAAAAADgc5sCwk3379skwDLm5udm7KgAAWGRmZspkMikoKMjeVcF1iB0AAI6K+MFxET8AABxRfmIHEhh2YhiGmH4EAOBouDY5LmIHAICj4vrkuIgfAACOKD/XJhIYdmJ++qFFixZ2rgkAAH/76aef7F2FYvHJJ59o8uTJNsuHDx+uCRMmWF5/9NFHWr58uU6fPi1fX1+NHz9eHTt2tNomOTlZs2bN0pYtW5SZmakOHTpo6tSpqlGjhlW5vXv36pVXXtHBgwdVrVo1DR48WMOHD5fJZCrQORA7AAAcVWmNH0oD4gcAgCPKT+xAAgMAAJQZy5cvV+XKlS2va9asafn3559/rmnTpumpp55Su3btFBMTo1GjRmnVqlVq1aqVpdy4ceN05MgRTZ8+XeXLl9f8+fM1fPhwrV27VuXKXQ2tjh8/roiICAUHB2vcuHE6dOiQ5s6dK1dXV0VERJTY+QIAAAAA4MxIYAAAgDKjWbNm8vHxyXXdggUL1LNnT40bN06S1K5dOx0+fFiLFy9WVFSUpKvjSO/cuVPR0dEKCQmRJPn6+iosLEybN29WWFiYJCk6OlpVq1bVa6+9Jnd3d7Vv314JCQlasmSJwsPD5e7uXvwnCwAAAACAk3OxdwUAAADs7cSJEzp27Jh69OhhtTwsLEy7d+9WRkaGJGnHjh3y8vJScHCwpYyfn5+aNGmiHTt2WJbt2LFDnTt3tkpUhIWFKSkpSfv27SvmswEAAAAAoHQggQEAAMqMXr16qUmTJurcubOWLl2q7OxsSVJcXJykq70prtWoUSNlZmbqxIkTlnK+vr4281j4+fl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MmSMXFxfVrFlTS5cuVeXKlfXQQw9Zyj300EN67733NHLkSD355JM6d+6c5syZo4ceekg1a9YsxDsFAM6Hto3zS01NlaQSa9tw7wEAyjZiB+dXlLFDvq7yNWrUUI0aNSRJ7777rho1aqRq1aoVuhKw5erqqipVquj8+fOSJE9PzyLvlouiZxiGsrKylJSUpKSkJFWpUoVu8gCQB8UdYwQGBiomJkbLli2TYRiqU6eOBgwYoIiICMuko3fddZcWLlyo+fPn6+OPP1bt2rU1Y8YM9ejRw2pfU6dOVcWKFfXqq6/q8uXLat26td5++21VrlzZUsbb21srVqzQyy+/rJEjR6pixYrq37+/xo8fX2TnBADOgraN8zIMQ6mpqTp//nyJtm249wAAZRuxg/MqjtihwI8ptGnTptAHv97x48cVHR2t/fv36/fff5efn582btxoU+6jjz7S8uXLdfr0afn6+mr8+PHq2LGjVZnk5GTNmjVLW7ZsUWZmpjp06KCpU6dagiCzvXv36pVXXtHBgwdVrVo1DR48WMOHD7f6URiGoaioKL3//vtKSEhQkyZNNHnyZLVq1arI34Nr3X777ZJk+bHCebi6uqpWrVqFmqgVAMqq4ogxRowYoREjRtyyXOfOndW5c+eblnF3d9fEiRM1ceLEm5Zr1KiR3nnnnfxUEwBKLdo2zq1KlSqWz7CkFUdcAABwfMQOzq0oY4dC9bP85ptv9PHHH+vEiRNKSkqyGdvKZDJpy5Yted7f77//ru3bt6tly5bKycnJdayszz//XNOmTdNTTz2ldu3aKSYmRqNGjdKqVausEgrjxo3TkSNHNH36dJUvX17z58/X8OHDtXbtWkv30uPHjysiIkLBwcEaN26cDh06pLlz58rV1VURERGWfUVFRWnBggWaMGGCAgICtGrVKg0bNkyffvqp6tWrl893Le9MJpNq1aqlGjVqKDMzs9iOg6JVrlw5ubq6khkGgEIo6hgDAGBftG2cl5ubm917lRMXAEDZQ+zgvIo6dihwAmP58uV69dVXVa1aNQUGBiogIKDQlenUqZNlHOpJkybp559/timzYMEC9ezZU+PGjZMktWvXTocPH9bixYsVFRUlSdq3b5927typ6OhohYSESJJ8fX0VFhamzZs3KywsTJIUHR2tqlWr6rXXXpO7u7vat2+vhIQELVmyROHh4XJ3d1d6erqWLl2qYcOG6bHHHpMk3Xnnnbr//vsVHR2t6dOnF/q8b8XV1dXuASMAACWlOGIMAIBjoG2D/CIuAICyjdgBBU5gvPvuu2rXrp2WLVtWZBN5ubi43HT9iRMndOzYMT3//PNWy8PCwjRnzhxlZGTI3d1dO3bskJeXl4KDgy1l/Pz81KRJE+3YscOSwNixY4e6du1qGfvavK+lS5dq3759atu2rfbu3auUlBSr8a/d3d3VtWtXffnll0Vx2gAA4BrFEWMAAADnVBxxAcNXAwDgPG6eMbiJpKQkde/evURvLMTFxUm62pviWo0aNVJmZqZOnDhhKefr62szhI+fn59lH6mpqTpz5oz8/PxsyphMJks58/+vL9eoUSOdPn1aV65cKaKzAwAAkn1iDAAA4JiKIy4wD1/doEEDNWrUKNcy5uGre/TooaioKLVq1UqjRo3Sjz/+aFVu3Lhx2rVrl6ZPn665c+cqPj5ew4cPV1ZWlqWMefjq6tWra+nSpXr00Ue1YMECvfXWW1b7Mg9f/dhjj2np0qWqXr26hg0bZrnXAQBAWVTgHhgtWrRQfHx8UdbllhITEyVJXl5eVsvNr83rk5KSVLlyZZvtvb29LcNSJScn57ovd3d3eXh4WO3L3d1d5cuXtzmmYRhKTExUhQoVCnQ+5lnZAcDRmEwmeXh42LsaN5SWlpbrPEkoPMMw7D6Hjz1iDAAA4JiKIy5g+GoAAJxHgRMY06dP1/Dhw9W8eXM98MADRVmnMiMzM1MHDx60dzUAwIaHh4eaNm1q72rcUHx8vNLS0uxdjVLr2qEV7YEYAwAAmBVHXMDw1QAAOI8CJzDGjRunrKws/etf/9L06dN1++232wQBJpNJn332WaEraebt7S3pau+J6tWrW5YnJSVZrffy8tLZs2dttk9MTLSUMffQMPfEMMvIyFBaWprVvjIyMpSenm7VCyMpKUkmk8lSriDc3NzUuHHjAm8PAMXF3k/g34qvry89MIrJkSNH7F0Fu8QYAADAMdkjLsjL8NWNGjUqsuGr27Zte9Phq1esWKErV64UePQHAACcWYETGFWqVFGVKlXUoEGDoqzPTZkv5HFxcVYX9bi4OLm5ualevXqWcrt377YZBiM+Pl7+/v6SJE9PT9WqVcsSJFxbxjAMy/7N/4+Pj9cdd9xhdczatWsXKoAwmUzy9PQs8PYAUFY58vBWzs4Rklf2iDEAAIBjskdcwPDVJc/Rh7BF3jHcL4C8yM/w1QVOYLz33nsF3bTA6tWrp4YNGyo2NtYyXqUkxcTEqH379pbumKGhoXrjjTe0e/du3XPPPZKuJiB+/fVXPfHEE5btQkNDtXXrVj3//POWCcFiYmLk5eWloKAgSVLr1q1VqVIlbdq0yZLAyMzM1ObNmxUaGloi5w0AQFlijxgDAAA4JuKCwnOG4asdfQhb5B3D/QLIq7wOX13gBEZxSEtL0/bt2yVJp06dUkpKimJjYyVJbdq0kY+Pj0aPHq0JEyaofv36atu2rWJiYnTgwAGtXLnSsp+goCCFhIRoypQpmjhxosqXL6958+YpICBA3bp1s5SLiIjQhg0b9Nxzz2nw4ME6fPiwoqOjNX78eMsbWL58eT355JNauHChfHx85O/vr9WrV+vSpUuKiIgowXcHAAAAAAAUN4avLnmO0AsYRYPhfgHkRX6Gry5wAuP777/PU7m77747z/u8ePGixo4da7XM/Prdd99V27Zt1atXL6WlpSkqKkrLli2Tr6+vFi1aZOkxYTZ//nzNmjVLkZGRysrKUkhIiKZOnapy5f4+5QYNGig6OlqzZ8/WiBEj5OPjozFjxmjYsGFW+xo+fLgMw9Bbb72lhIQENWnSRNHR0ZYhqwAAQNEpjhgDAAA4J3vEBQxfDRQcQ4EByIv8JK4LnMAIDw/P04Hy002xbt26OnTo0C3LDRgwQAMGDLhpmcqVK2vmzJmaOXPmTcu1bt1aa9asuWkZk8mkJ598Uk8++eQt6wYAAAqnOGIMAADgnOwRFzB8NQAAjqPACYx3333XZll2drZOnTqlNWvWKCcnR88991yhKgcAAMoeYgwAAGBWHHEBw1cDAOA8CpzAaNOmzQ3X9evXTw8//LD+97//qX379gU9BAAAKIOIMSBJOTmGXFzyPx52QbdDwfA5AShuxREXMHw1AADOo1gm8XZxcVHPnj21dOlSm6AAAACgoIgxyg4XF5MWr96lU+cT87xNnRreGjk4uBhrhevxOQGwp4LGBQxfDQCA8yiWBIYkJSYmKjk5ubh2DwAAyihijLLj1PlEHTv1l72rgVvgcwJgT8QFAACUbgVOYJw+fTrX5UlJSdqzZ4+io6N11113FbhiAACgbCLGAAAAZsQFAACUbQVOYHTq1EkmU+7j1hqGoVatWunFF18scMUAAEDZRIwBAADMiAsAACjbCpzAmDlzpk0QYTKZ5OXlpfr166tx48aFrhwAACh7iDEAAIAZcQEAAGVbgRMY/fr1K8p6AAAASCLGAAAAfyMuAACgbCuSSbyPHDmiU6dOSZLq1KnDExAAAKBIEGMAAAAz4gIAAMqeQiUwtmzZotmzZ1sCCLO6detq0qRJ6ty5c6EqBwAAyiZiDAAAYEZcAABA2VXgBMb27ds1ZswY1a5dW+PHj1ejRo0kSUePHtWaNWs0evRoLVmyRKGhoUVWWQAAUPoRYwAAADPiAgAAyrYCJzDeeOMNBQQEaNWqVfL09LQs79y5s4YOHaqHH35YixcvJogAAAD5QowBAADMiAsAACjbXAq64aFDh9SnTx+rAMLM09NTffv21aFDhwpVOQAAUPYQYwAAADPiAgAAyrYCJzDKly+vxMTEG65PTExU+fLlC7p7AABQRhFjAAAAM+ICAADKtgInMNq2bat3331X+/bts1m3f/9+vffee2rfvn2hKgcAAMoeYgwAAGBGXAAAQNlW4Dkwnn/+eT300EN6+OGHFRgYKF9fX0lSfHy8Dhw4oGrVqmnChAlFVlEAAFA2EGMAsKecHEMuLqYS2w7AzREXAABQthU4gVGvXj199tlnWrp0qXbs2KGYmBhJUu3atfXII49oxIgRqlatWpFVFAAAlA3EGADsycXFpMWrd+nU+RsPWXO9OjW8NXJwcDHWCii7iAsAACjbCpzAyMrKUvny5TVlyhRNmTLFZn1KSoqysrJUrlyBDwEAAMogYgwA9nbqfKKOnfrL3tUAIOICAADKugLPgTFjxgw99NBDN1w/ePBgzZ49u6C7BwAAZRQxBgAAMCMuAACgbCtwAuObb75R9+7db7i+e/fu2rFjR0F3DwAAyihiDAAAYEZcAABA2VbgBMb58+dVs2bNG66vUaOGzp07V9DdAwCAMooYAwAAmBEXAABQthU4gVGlShXFx8ffcP3Ro0dVqVKlgu4eAACUUcQYAADAjLgAAICyrcAJjA4dOuiDDz7Qr7/+arPul19+0Zo1axQaGlqoygEAgLKnOGKMTZs26emnn1ZoaKhatWql3r176+OPP5ZhGFblPvroI3Xv3l0tWrTQgw8+qK+++spmX8nJyZoyZYratGmjoKAgjRkzRufPn7cpt3fvXg0aNEiBgYHq2LGjli1bZnM8AABwc9x7AACgbCtX0A3Hjh2rb775RgMGDFCnTp3UuHFjSdLvv/+ur776Sj4+Pho7dmyRVRQAAJQNxRFjvPPOO6pTp44mTZqkqlWr6r///a+mTZums2fPatSoUZKkzz//XNOmTdNTTz2ldu3aKSYmRqNGjdKqVavUqlUry77GjRunI0eOaPr06Spfvrz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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig, axes = plt.subplots(1, 3, figsize=(16, 4))\n", - "sns.countplot(data=df, x=\"severity_bucket\", hue=\"split_source\", ax=axes[0])\n", - "axes[0].set_title(\"Severity bucket by split\")\n", - "sns.countplot(data=df, x=\"wind_direction\", hue=\"split_source\", ax=axes[1])\n", - "axes[1].set_title(\"Wind direction by split\")\n", - "sns.countplot(data=df, x=\"record_quality_flag\", hue=\"split_source\", ax=axes[2])\n", - "axes[2].set_title(\"Record quality flag by split\")\n", - "for ax in axes:\n", - " ax.tick_params(axis=\"x\", rotation=45)\n", - "plt.tight_layout()\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "64b3f8d3", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "spread_rate_1h_m 1926\n", - "base_spread_prob 1372\n", - "spread_score 1366\n", - "wind_strength 728\n", - "weather_score 367\n", - "cffdrs_dryness_score 0\n", - "size_factor 0\n", - "fire_type_factor 0\n", - "fuel_factor 0\n", - "rain_factor 0\n", - "dtype: int64" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "def iqr_outlier_mask(series: pd.Series) -> pd.Series:\n", - " q1 = series.quantile(0.25)\n", - " q3 = series.quantile(0.75)\n", - " iqr = q3 - q1\n", - " if iqr == 0 or np.isnan(iqr):\n", - " return pd.Series(False, index=series.index)\n", - " lo = q1 - 1.5 * iqr\n", - " hi = q3 + 1.5 * iqr\n", - " return (series < lo) | (series > hi)\n", - "\n", - "outlier_flags = pd.DataFrame(index=df.index)\n", - "for col in NUMERIC_COLUMNS:\n", - " if col in df.columns:\n", - " outlier_flags[col] = iqr_outlier_mask(pd.to_numeric(df[col], errors=\"coerce\"))\n", - "\n", - "df_outliers = df[outlier_flags.any(axis=1)].copy()\n", - "df_outliers[\"outlier_feature_count\"] = outlier_flags.sum(axis=1)\n", - "outlier_summary = outlier_flags.sum().sort_values(ascending=False)\n", - "outlier_summary" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "82df6535", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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record_idfire_idsplitsplit_sourceseverity_bucketwind_directionoutlier_feature_countbase_spread_probwind_strengthspread_rate_1h_mspread_scoreweather_scorecffdrs_dryness_scoresize_factorfire_type_factorfuel_factorrain_factor
1081AB-2011-WWF021__20110514AB-2011-WWF021traintrainlowNW50.08190.6000240.00.23260.89120.00.95010.801.061.0
455AB-2018-SWF053__20180528AB-2018-SWF053traintrainmediumW50.11400.6000360.00.41090.83450.00.95011.181.121.0
1097AB-2006-LWF125__20060705AB-2006-LWF125traintrainlowS50.09880.4750240.00.32680.75600.00.95011.181.121.0
18361AB-2023-CWF003__20230501AB-2023-CWF003valvallowE50.09050.5375240.00.28050.84290.00.95001.001.061.0
18256AB-2023-WWF023__20230505AB-2023-WWF023valvalhighSE50.19240.47501200.00.84650.79740.00.95151.181.121.0
845AB-2021-RWF070__20210723AB-2021-RWF070traintrainlowSE50.08460.4750300.00.24770.78190.00.95000.801.121.0
215AB-2011-SWF065__20110514AB-2011-SWF065traintrainmediumSE50.14000.6000600.00.55570.90100.00.95041.181.121.0
328AB-2011-LWF119__20110512AB-2011-LWF119traintrainmediumSE50.11100.6000600.00.39440.77200.00.95001.001.001.0
521AB-2010-MWF069__20100724AB-2010-MWF069traintrainmediumSW50.10470.5000300.00.35950.75720.00.95091.181.121.0
679AB-2013-GWF012__20130512AB-2013-GWF012traintrainmediumW50.10940.6000300.00.38550.85800.00.95021.181.121.0
835AB-2006-GWF027__20060425AB-2006-GWF027traintrainlowW50.09060.4750300.00.28080.80410.00.95001.001.001.0
1603AB-2016-RWF014__20160409AB-2016-RWF014traintrainlowNW50.08080.5375180.00.22680.77410.00.95001.001.001.0
219AB-2008-GWF062__20080622AB-2008-GWF062traintrainmediumW50.13640.5625600.00.53540.82450.00.95041.181.121.0
1592AB-2008-GWF013__20080416AB-2008-GWF013traintrainlowE50.08340.6000180.00.24110.77710.00.95001.001.061.0
1092AB-2012-PWF166__20120914AB-2012-PWF166traintrainlowW50.08860.6000240.00.27020.79420.00.95011.001.061.0
308AB-2015-MWF072__20150624AB-2015-MWF072traintrainmediumNW50.12250.6000600.00.45830.84560.00.95001.001.121.0
708AB-2011-SWF081__20110515AB-2011-SWF081traintrainlowS50.08970.4750300.00.27630.78120.00.95011.001.001.0
408AB-2015-LWF111__20150516AB-2015-LWF111traintrainlowN50.08730.5500420.00.26280.80180.00.95010.801.001.0
1617AB-2011-SWF058__20110514AB-2011-SWF058traintrainlowS50.09050.6000180.00.28040.89180.00.95001.001.121.0
1319AB-2008-LWF037__20080515AB-2008-LWF037traintrainlowW50.08170.6000180.00.23160.79740.00.95021.001.001.0
356AB-2011-MWF008__20110515AB-2011-MWF008traintrainmediumW50.12080.5375480.00.44890.82830.00.95191.181.061.0
144AB-2010-HWF223__20101010AB-2010-HWF223traintrainmediumSW50.11500.5375600.00.41670.80860.00.97251.001.001.0
134AB-2015-MWF101__20150626AB-2015-MWF101traintrainmediumNW50.12910.6000720.00.49500.76900.00.95021.001.121.0
953AB-2016-PWF009__20160418AB-2016-PWF009traintrainlowS50.09450.6000300.00.30280.91400.00.95001.001.001.0
659AB-2010-GWF151__20101010AB-2010-GWF151traintrainlowW50.09070.6000300.00.28150.80680.00.95021.001.001.0
483AB-2017-RWF078__20171017AB-2017-RWF078traintrainlowW50.09700.5375300.00.31660.78830.00.95751.001.121.0
125AB-2011-SWF086__20110515AB-2011-SWF086traintrainhighSE50.16600.6000900.00.70000.84840.00.95001.181.121.0
1052AB-2012-LWF055__20120512AB-2012-LWF055traintrainlowW50.09310.6000240.00.29500.83610.00.95031.001.121.0
18336AB-2023-SWF067__20230505AB-2023-SWF067valvalmediumSE50.10530.4750300.00.36270.77200.00.95011.181.121.0
117AB-2011-SWF066__20110514AB-2011-SWF066traintrainhighSE50.16150.4750900.00.67520.75400.00.95011.181.121.0
791AB-2013-HWF062__20130621AB-2013-HWF062traintrainlowNW50.09530.5375300.00.30700.77040.00.95011.001.121.0
1248AB-2011-SWF077__20110515AB-2011-SWF077traintrainlowE50.08950.6000180.00.27480.86550.00.95041.001.121.0
1343AB-2011-SWF054__20110514AB-2011-SWF054traintrainlowS50.08410.6000180.00.24490.86390.00.95011.001.001.0
777AB-2015-PWF018__20150429AB-2015-PWF018traintrainlowW50.09660.6000300.00.31440.80340.00.95011.001.121.0
359AB-2018-MWF095__20180818AB-2018-MWF095traintrainlowW50.09650.6000480.00.31410.79020.00.95070.801.121.0
690AB-2019-SWF049__20190518AB-2019-SWF049traintrainlowSE50.09390.5375300.00.29930.81110.00.95011.001.061.0
18343AB-2023-CWF004__20230505AB-2023-CWF004valvallowE50.09120.5125300.00.28460.82290.00.95001.001.001.0
524AB-2022-LWF110__20220714AB-2022-LWF110traintrainlowSE50.09490.4750300.00.30510.75940.00.95071.001.121.0
1053AB-2011-SWF070__20110515AB-2011-SWF070traintrainmediumSE50.10510.6000240.00.36150.88680.00.95031.181.121.0
1196AB-2011-SWF088__20110516AB-2011-SWF088traintrainmediumSW50.12180.6000180.00.45460.85980.01.10001.181.121.0
298AB-2013-RWF044__20130521AB-2013-RWF044traintrainmediumSE50.11070.4750600.00.39290.76410.00.95011.001.001.0
1687AB-2018-HWF053__20180512AB-2018-HWF053traintrainlowNW50.08370.5375180.00.24270.85370.00.95001.001.001.0
494AB-2011-SWF082__20110515AB-2011-SWF082traintrainmediumSE50.10730.6000300.00.37400.80750.00.95221.181.121.0
1660AB-2011-SWF056__20110514AB-2011-SWF056traintrainlowSE50.09750.5625180.00.31920.84760.00.95001.181.121.0
412AB-2015-SWF050__20150515AB-2015-SWF050traintrainlowSW50.09160.4750420.00.28650.75140.00.95011.001.000.9
742AB-2011-WWF020__20110514AB-2011-WWF020traintrainlowNW50.08270.6000300.00.23710.88130.00.95010.801.001.0
299AB-2013-RWF020__20130512AB-2013-RWF020traintrainmediumW50.10720.6000600.00.37330.88290.00.95010.801.121.0
18281AB-2023-GWF066__20230917AB-2023-GWF066valvalmediumSW50.13160.6000600.00.50860.83190.00.95041.181.061.0
579AB-2015-PWF004__20150416AB-2015-PWF004traintrainlowNW50.09070.6000300.00.28160.80680.00.95041.001.001.0
1744AB-2020-HWF044__20200804AB-2020-HWF044traintrainlowSW50.08460.4750180.00.24800.74710.00.95001.001.121.0
\n", - "
" - ], - "text/plain": [ - " record_id fire_id split split_source \\\n", - "1081 AB-2011-WWF021__20110514 AB-2011-WWF021 train train \n", - "455 AB-2018-SWF053__20180528 AB-2018-SWF053 train train \n", - "1097 AB-2006-LWF125__20060705 AB-2006-LWF125 train train \n", - "18361 AB-2023-CWF003__20230501 AB-2023-CWF003 val val \n", - "18256 AB-2023-WWF023__20230505 AB-2023-WWF023 val val \n", - "845 AB-2021-RWF070__20210723 AB-2021-RWF070 train train \n", - "215 AB-2011-SWF065__20110514 AB-2011-SWF065 train train \n", - "328 AB-2011-LWF119__20110512 AB-2011-LWF119 train train \n", - "521 AB-2010-MWF069__20100724 AB-2010-MWF069 train train \n", - "679 AB-2013-GWF012__20130512 AB-2013-GWF012 train train \n", - "835 AB-2006-GWF027__20060425 AB-2006-GWF027 train train \n", - "1603 AB-2016-RWF014__20160409 AB-2016-RWF014 train train \n", - "219 AB-2008-GWF062__20080622 AB-2008-GWF062 train train \n", - "1592 AB-2008-GWF013__20080416 AB-2008-GWF013 train train \n", - "1092 AB-2012-PWF166__20120914 AB-2012-PWF166 train train \n", - "308 AB-2015-MWF072__20150624 AB-2015-MWF072 train train \n", - "708 AB-2011-SWF081__20110515 AB-2011-SWF081 train train \n", - "408 AB-2015-LWF111__20150516 AB-2015-LWF111 train train \n", - "1617 AB-2011-SWF058__20110514 AB-2011-SWF058 train train \n", - "1319 AB-2008-LWF037__20080515 AB-2008-LWF037 train train \n", - "356 AB-2011-MWF008__20110515 AB-2011-MWF008 train train \n", - "144 AB-2010-HWF223__20101010 AB-2010-HWF223 train train \n", - "134 AB-2015-MWF101__20150626 AB-2015-MWF101 train train \n", - "953 AB-2016-PWF009__20160418 AB-2016-PWF009 train train \n", - "659 AB-2010-GWF151__20101010 AB-2010-GWF151 train train \n", - "483 AB-2017-RWF078__20171017 AB-2017-RWF078 train train \n", - "125 AB-2011-SWF086__20110515 AB-2011-SWF086 train train \n", - "1052 AB-2012-LWF055__20120512 AB-2012-LWF055 train train \n", - "18336 AB-2023-SWF067__20230505 AB-2023-SWF067 val val \n", - "117 AB-2011-SWF066__20110514 AB-2011-SWF066 train train \n", - "791 AB-2013-HWF062__20130621 AB-2013-HWF062 train train \n", - "1248 AB-2011-SWF077__20110515 AB-2011-SWF077 train train \n", - "1343 AB-2011-SWF054__20110514 AB-2011-SWF054 train train \n", - "777 AB-2015-PWF018__20150429 AB-2015-PWF018 train train \n", - "359 AB-2018-MWF095__20180818 AB-2018-MWF095 train train \n", - "690 AB-2019-SWF049__20190518 AB-2019-SWF049 train train \n", - "18343 AB-2023-CWF004__20230505 AB-2023-CWF004 val val \n", - "524 AB-2022-LWF110__20220714 AB-2022-LWF110 train train \n", - "1053 AB-2011-SWF070__20110515 AB-2011-SWF070 train train \n", - "1196 AB-2011-SWF088__20110516 AB-2011-SWF088 train train \n", - "298 AB-2013-RWF044__20130521 AB-2013-RWF044 train train \n", - "1687 AB-2018-HWF053__20180512 AB-2018-HWF053 train train \n", - "494 AB-2011-SWF082__20110515 AB-2011-SWF082 train train \n", - "1660 AB-2011-SWF056__20110514 AB-2011-SWF056 train train \n", - "412 AB-2015-SWF050__20150515 AB-2015-SWF050 train train \n", - "742 AB-2011-WWF020__20110514 AB-2011-WWF020 train train \n", - "299 AB-2013-RWF020__20130512 AB-2013-RWF020 train train \n", - "18281 AB-2023-GWF066__20230917 AB-2023-GWF066 val val \n", - "579 AB-2015-PWF004__20150416 AB-2015-PWF004 train train \n", - "1744 AB-2020-HWF044__20200804 AB-2020-HWF044 train train \n", - "\n", - " severity_bucket wind_direction outlier_feature_count base_spread_prob \\\n", - "1081 low NW 5 0.0819 \n", - "455 medium W 5 0.1140 \n", - "1097 low S 5 0.0988 \n", - "18361 low E 5 0.0905 \n", - "18256 high SE 5 0.1924 \n", - "845 low SE 5 0.0846 \n", - "215 medium SE 5 0.1400 \n", - "328 medium SE 5 0.1110 \n", - "521 medium SW 5 0.1047 \n", - "679 medium W 5 0.1094 \n", - "835 low W 5 0.0906 \n", - "1603 low NW 5 0.0808 \n", - "219 medium W 5 0.1364 \n", - "1592 low E 5 0.0834 \n", - "1092 low W 5 0.0886 \n", - "308 medium NW 5 0.1225 \n", - "708 low S 5 0.0897 \n", - "408 low N 5 0.0873 \n", - "1617 low S 5 0.0905 \n", - "1319 low W 5 0.0817 \n", - "356 medium W 5 0.1208 \n", - "144 medium SW 5 0.1150 \n", - "134 medium NW 5 0.1291 \n", - "953 low S 5 0.0945 \n", - "659 low W 5 0.0907 \n", - "483 low W 5 0.0970 \n", - "125 high SE 5 0.1660 \n", - "1052 low W 5 0.0931 \n", - "18336 medium SE 5 0.1053 \n", - "117 high SE 5 0.1615 \n", - "791 low NW 5 0.0953 \n", - "1248 low E 5 0.0895 \n", - "1343 low S 5 0.0841 \n", - "777 low W 5 0.0966 \n", - "359 low W 5 0.0965 \n", - "690 low SE 5 0.0939 \n", - "18343 low E 5 0.0912 \n", - "524 low SE 5 0.0949 \n", - "1053 medium SE 5 0.1051 \n", - "1196 medium SW 5 0.1218 \n", - "298 medium SE 5 0.1107 \n", - "1687 low NW 5 0.0837 \n", - "494 medium SE 5 0.1073 \n", - "1660 low SE 5 0.0975 \n", - "412 low SW 5 0.0916 \n", - "742 low NW 5 0.0827 \n", - "299 medium W 5 0.1072 \n", - "18281 medium SW 5 0.1316 \n", - "579 low NW 5 0.0907 \n", - "1744 low SW 5 0.0846 \n", - "\n", - " wind_strength spread_rate_1h_m spread_score weather_score \\\n", - "1081 0.6000 240.0 0.2326 0.8912 \n", - "455 0.6000 360.0 0.4109 0.8345 \n", - "1097 0.4750 240.0 0.3268 0.7560 \n", - "18361 0.5375 240.0 0.2805 0.8429 \n", - "18256 0.4750 1200.0 0.8465 0.7974 \n", - "845 0.4750 300.0 0.2477 0.7819 \n", - "215 0.6000 600.0 0.5557 0.9010 \n", - "328 0.6000 600.0 0.3944 0.7720 \n", - "521 0.5000 300.0 0.3595 0.7572 \n", - "679 0.6000 300.0 0.3855 0.8580 \n", - "835 0.4750 300.0 0.2808 0.8041 \n", - "1603 0.5375 180.0 0.2268 0.7741 \n", - "219 0.5625 600.0 0.5354 0.8245 \n", - "1592 0.6000 180.0 0.2411 0.7771 \n", - "1092 0.6000 240.0 0.2702 0.7942 \n", - "308 0.6000 600.0 0.4583 0.8456 \n", - "708 0.4750 300.0 0.2763 0.7812 \n", - "408 0.5500 420.0 0.2628 0.8018 \n", - "1617 0.6000 180.0 0.2804 0.8918 \n", - "1319 0.6000 180.0 0.2316 0.7974 \n", - "356 0.5375 480.0 0.4489 0.8283 \n", - "144 0.5375 600.0 0.4167 0.8086 \n", - "134 0.6000 720.0 0.4950 0.7690 \n", - "953 0.6000 300.0 0.3028 0.9140 \n", - "659 0.6000 300.0 0.2815 0.8068 \n", - "483 0.5375 300.0 0.3166 0.7883 \n", - "125 0.6000 900.0 0.7000 0.8484 \n", - "1052 0.6000 240.0 0.2950 0.8361 \n", - "18336 0.4750 300.0 0.3627 0.7720 \n", - "117 0.4750 900.0 0.6752 0.7540 \n", - "791 0.5375 300.0 0.3070 0.7704 \n", - "1248 0.6000 180.0 0.2748 0.8655 \n", - "1343 0.6000 180.0 0.2449 0.8639 \n", - "777 0.6000 300.0 0.3144 0.8034 \n", - "359 0.6000 480.0 0.3141 0.7902 \n", - "690 0.5375 300.0 0.2993 0.8111 \n", - "18343 0.5125 300.0 0.2846 0.8229 \n", - "524 0.4750 300.0 0.3051 0.7594 \n", - "1053 0.6000 240.0 0.3615 0.8868 \n", - "1196 0.6000 180.0 0.4546 0.8598 \n", - "298 0.4750 600.0 0.3929 0.7641 \n", - "1687 0.5375 180.0 0.2427 0.8537 \n", - "494 0.6000 300.0 0.3740 0.8075 \n", - "1660 0.5625 180.0 0.3192 0.8476 \n", - "412 0.4750 420.0 0.2865 0.7514 \n", - "742 0.6000 300.0 0.2371 0.8813 \n", - "299 0.6000 600.0 0.3733 0.8829 \n", - "18281 0.6000 600.0 0.5086 0.8319 \n", - "579 0.6000 300.0 0.2816 0.8068 \n", - "1744 0.4750 180.0 0.2480 0.7471 \n", - "\n", - " cffdrs_dryness_score size_factor fire_type_factor fuel_factor \\\n", - "1081 0.0 0.9501 0.80 1.06 \n", - "455 0.0 0.9501 1.18 1.12 \n", - "1097 0.0 0.9501 1.18 1.12 \n", - "18361 0.0 0.9500 1.00 1.06 \n", - "18256 0.0 0.9515 1.18 1.12 \n", - "845 0.0 0.9500 0.80 1.12 \n", - "215 0.0 0.9504 1.18 1.12 \n", - "328 0.0 0.9500 1.00 1.00 \n", - "521 0.0 0.9509 1.18 1.12 \n", - "679 0.0 0.9502 1.18 1.12 \n", - "835 0.0 0.9500 1.00 1.00 \n", - "1603 0.0 0.9500 1.00 1.00 \n", - "219 0.0 0.9504 1.18 1.12 \n", - "1592 0.0 0.9500 1.00 1.06 \n", - "1092 0.0 0.9501 1.00 1.06 \n", - "308 0.0 0.9500 1.00 1.12 \n", - "708 0.0 0.9501 1.00 1.00 \n", - "408 0.0 0.9501 0.80 1.00 \n", - "1617 0.0 0.9500 1.00 1.12 \n", - "1319 0.0 0.9502 1.00 1.00 \n", - "356 0.0 0.9519 1.18 1.06 \n", - "144 0.0 0.9725 1.00 1.00 \n", - "134 0.0 0.9502 1.00 1.12 \n", - "953 0.0 0.9500 1.00 1.00 \n", - "659 0.0 0.9502 1.00 1.00 \n", - "483 0.0 0.9575 1.00 1.12 \n", - "125 0.0 0.9500 1.18 1.12 \n", - "1052 0.0 0.9503 1.00 1.12 \n", - "18336 0.0 0.9501 1.18 1.12 \n", - "117 0.0 0.9501 1.18 1.12 \n", - "791 0.0 0.9501 1.00 1.12 \n", - "1248 0.0 0.9504 1.00 1.12 \n", - "1343 0.0 0.9501 1.00 1.00 \n", - "777 0.0 0.9501 1.00 1.12 \n", - "359 0.0 0.9507 0.80 1.12 \n", - "690 0.0 0.9501 1.00 1.06 \n", - "18343 0.0 0.9500 1.00 1.00 \n", - "524 0.0 0.9507 1.00 1.12 \n", - "1053 0.0 0.9503 1.18 1.12 \n", - "1196 0.0 1.1000 1.18 1.12 \n", - "298 0.0 0.9501 1.00 1.00 \n", - "1687 0.0 0.9500 1.00 1.00 \n", - "494 0.0 0.9522 1.18 1.12 \n", - "1660 0.0 0.9500 1.18 1.12 \n", - "412 0.0 0.9501 1.00 1.00 \n", - "742 0.0 0.9501 0.80 1.00 \n", - "299 0.0 0.9501 0.80 1.12 \n", - "18281 0.0 0.9504 1.18 1.06 \n", - "579 0.0 0.9504 1.00 1.00 \n", - "1744 0.0 0.9500 1.00 1.12 \n", - "\n", - " rain_factor \n", - "1081 1.0 \n", - "455 1.0 \n", - "1097 1.0 \n", - "18361 1.0 \n", - "18256 1.0 \n", - "845 1.0 \n", - "215 1.0 \n", - "328 1.0 \n", - "521 1.0 \n", - "679 1.0 \n", - "835 1.0 \n", - "1603 1.0 \n", - "219 1.0 \n", - "1592 1.0 \n", - "1092 1.0 \n", - "308 1.0 \n", - "708 1.0 \n", - "408 1.0 \n", - "1617 1.0 \n", - "1319 1.0 \n", - "356 1.0 \n", - "144 1.0 \n", - "134 1.0 \n", - "953 1.0 \n", - "659 1.0 \n", - "483 1.0 \n", - "125 1.0 \n", - "1052 1.0 \n", - "18336 1.0 \n", - "117 1.0 \n", - "791 1.0 \n", - "1248 1.0 \n", - "1343 1.0 \n", - "777 1.0 \n", - "359 1.0 \n", - "690 1.0 \n", - "18343 1.0 \n", - "524 1.0 \n", - "1053 1.0 \n", - "1196 1.0 \n", - "298 1.0 \n", - "1687 1.0 \n", - "494 1.0 \n", - "1660 1.0 \n", - "412 0.9 \n", - "742 1.0 \n", - "299 1.0 \n", - "18281 1.0 \n", - "579 1.0 \n", - "1744 1.0 " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "cols = [\"record_id\", \"fire_id\", \"split\", \"split_source\", \"severity_bucket\", \"wind_direction\", \"outlier_feature_count\"]\n", - "numeric_present = [c for c in NUMERIC_COLUMNS if c in df_outliers.columns]\n", - "display(df_outliers[cols + numeric_present].sort_values(\"outlier_feature_count\", ascending=False).head(50))" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "22fe04f7", - "metadata": {}, - "outputs": [ - { - "ename": "TypeError", - "evalue": "NDFrame.describe() got an unexpected keyword argument 'datetime_is_numeric'", - "output_type": "error", - "traceback": [ - "\u001b[31m---------------------------------------------------------------------------\u001b[39m", - "\u001b[31mTypeError\u001b[39m Traceback (most recent call last)", - "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[9]\u001b[39m\u001b[32m, line 5\u001b[39m\n\u001b[32m 1\u001b[39m output_dir = ROOT / \u001b[33m\"outputs/data_audit\"\u001b[39m\n\u001b[32m 2\u001b[39m output_dir.mkdir(parents=\u001b[38;5;28;01mTrue\u001b[39;00m, exist_ok=\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[32m 3\u001b[39m \n\u001b[32m 4\u001b[39m (output_dir / \u001b[33m\"summary_stats.json\"\u001b[39m).write_text(json.dumps(summary, indent=\u001b[32m2\u001b[39m))\n\u001b[32m----> \u001b[39m\u001b[32m5\u001b[39m df.describe(include=\u001b[33m\"all\"\u001b[39m, datetime_is_numeric=\u001b[38;5;28;01mTrue\u001b[39;00m).to_csv(output_dir / \u001b[33m\"describe_all.csv\"\u001b[39m)\n\u001b[32m 6\u001b[39m df_outliers.to_csv(output_dir / \u001b[33m\"outlier_rows.csv\"\u001b[39m, index=\u001b[38;5;28;01mFalse\u001b[39;00m)\n\u001b[32m 7\u001b[39m outlier_summary.to_csv(output_dir / \u001b[33m\"outlier_feature_counts.csv\"\u001b[39m)\n\u001b[32m 8\u001b[39m print(f\"Wrote data audit artifacts to {output_dir}\")\n", - "\u001b[31mTypeError\u001b[39m: NDFrame.describe() got an unexpected keyword argument 'datetime_is_numeric'" - ] - } - ], - "source": [ - "output_dir = ROOT / \"outputs/data_audit\"\n", - "output_dir.mkdir(parents=True, exist_ok=True)\n", - "\n", - "(output_dir / \"summary_stats.json\").write_text(json.dumps(summary, indent=2))\n", - "df.describe(include=\"all\", datetime_is_numeric=True).to_csv(output_dir / \"describe_all.csv\")\n", - "df_outliers.to_csv(output_dir / \"outlier_rows.csv\", index=False)\n", - "outlier_summary.to_csv(output_dir / \"outlier_feature_counts.csv\")\n", - "print(f\"Wrote data audit artifacts to {output_dir}\")" - ] - }, - { - "cell_type": "markdown", - "id": "4ed5a0e0", - "metadata": {}, - "source": [ - "## Go/No-Go Checklist\n", - "\n", - "- No missing required fields in seeded split datasets\n", - "- No unexpected split leakage between `split_source` and `split`\n", - "- Numeric ranges are physically plausible (`base_spread_prob` in [0,1], `wind_strength` in [0,1])\n", - "- Outliers are explainable and not caused by parsing/ETL bugs\n", - "- Severity and wind distributions are plausible across train/val/holdout" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.14.3" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/notebooks/training_0_analysis.ipynb b/notebooks/training_0_analysis.ipynb new file mode 100644 index 0000000..6b2b888 --- /dev/null +++ b/notebooks/training_0_analysis.ipynb @@ -0,0 +1,1844 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "16153bdb", + "metadata": {}, + "source": [ + "# Training 0 Analysis\n", + "\n", + "This notebook analyzes the initial training run, with no additional data cleaning, extracted under `training-outputs/outputs/benchmark` to evaluate performance of the algos on the environment and determine if additional preprocessing and hardening the training process is are needed." + ] + }, + { + "cell_type": "markdown", + "id": "3bfa0408", + "metadata": {}, + "source": [ + "## Scope\n", + "\n", + "- Final run performance across seeds and algorithms\n", + "- Pilot sweep outcomes and winner margins\n", + "- Smoke run sanity checks\n", + "- Karpathy one-record overfit diagnostic\n", + "- Optional repro canary comparison\n", + "- Rule-based recommendation for next steps" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "f5737021", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Project root: /home/makerspace/thomson/firebot-eval\n", + "Data root: /home/makerspace/thomson/firebot-eval/training-outputs/training_0/outputs/benchmark\n", + "Exists: True\n" + ] + } + ], + "source": [ + "from __future__ import annotations\n", + "\n", + "import json\n", + "import math\n", + "import re\n", + "from pathlib import Path\n", + "\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "import pandas as pd\n", + "\n", + "plt.style.use(\"ggplot\")\n", + "pd.set_option(\"display.max_columns\", 200)\n", + "pd.set_option(\"display.width\", 200)\n", + "\n", + "PROJECT_ROOT = Path.cwd().resolve().parent if Path.cwd().name == \"notebooks\" else Path.cwd().resolve()\n", + "DATA_ROOT = PROJECT_ROOT / \"training-outputs\" / \"training_0\" / \"outputs\" / \"benchmark\"\n", + "\n", + "FINAL_DIR = DATA_ROOT / \"final\"\n", + "PILOT_DIR = DATA_ROOT / \"pilot_sweeps\"\n", + "SMOKE_DIR = DATA_ROOT / \"smoke\"\n", + "KARPATHY_DIR = DATA_ROOT / \"karpathy\"\n", + "REPRO_DIR = DATA_ROOT / \"repro_canary\"\n", + "\n", + "print(f\"Project root: {PROJECT_ROOT}\")\n", + "print(f\"Data root: {DATA_ROOT}\")\n", + "print(f\"Exists: {DATA_ROOT.exists()}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "197d3a70", + "metadata": {}, + "outputs": [], + "source": [ + "def load_json(path: Path):\n", + " return json.loads(path.read_text())\n", + "\n", + "\n", + "def _iter_numbers(obj):\n", + " if isinstance(obj, dict):\n", + " for v in obj.values():\n", + " yield from _iter_numbers(v)\n", + " elif isinstance(obj, list):\n", + " for v in obj:\n", + " yield from _iter_numbers(v)\n", + " elif isinstance(obj, (int, float)):\n", + " yield float(obj)\n", + "\n", + "\n", + "def has_non_finite(obj) -> bool:\n", + " for n in _iter_numbers(obj):\n", + " if not math.isfinite(n):\n", + " return True\n", + " return False\n", + "\n", + "\n", + "def infer_seed_token(path: Path):\n", + " stem = path.stem\n", + " match = re.search(r\"(\\d+)$\", stem)\n", + " if match:\n", + " return int(match.group(1))\n", + " return stem\n", + "\n", + "\n", + "def extract_eval_seed_json(path: Path, stage: str = \"final_eval_bundle\", seed_override=None) -> list[dict]:\n", + " payload = load_json(path)\n", + " seed = seed_override if seed_override is not None else infer_seed_token(path)\n", + " rows: list[dict] = []\n", + " for agent, agent_payload in payload.get(\"results\", {}).items():\n", + " for split in (\"train\", \"val\", \"family_holdout\", \"temporal_holdout_diagnostic\"):\n", + " split_obj = agent_payload.get(split)\n", + " if not split_obj:\n", + " continue\n", + " aggregate = split_obj.get(\"aggregate\", {})\n", + " rows.append(\n", + " {\n", + " \"stage\": stage,\n", + " \"seed\": seed,\n", + " \"algo\": agent,\n", + " \"split\": split,\n", + " \"episodes\": aggregate.get(\"episodes_per_seed\"),\n", + " \"mean_return\": aggregate.get(\"mean_return\"),\n", + " \"asset_survival_rate\": aggregate.get(\"asset_survival_rate\"),\n", + " \"containment_success_rate\": aggregate.get(\"containment_success_rate\"),\n", + " \"mean_burned_area_fraction\": aggregate.get(\"mean_burned_area_fraction\"),\n", + " \"mean_time_to_containment\": aggregate.get(\"mean_time_to_containment\"),\n", + " \"mean_resource_efficiency\": aggregate.get(\"mean_resource_efficiency\"),\n", + " \"wasted_deployment_rate\": aggregate.get(\"wasted_deployment_rate\"),\n", + " \"mean_normalized_burn_ratio\": aggregate.get(\"mean_normalized_burn_ratio\"),\n", + " }\n", + " )\n", + " return rows\n", + "\n", + "\n", + "def extract_final_eval_best(path: Path, stage: str) -> list[dict]:\n", + " payload = load_json(path)\n", + " rows: list[dict] = []\n", + " algo = payload.get(\"algo\")\n", + " seed = payload.get(\"seed\")\n", + " for split, split_obj in payload.get(\"splits\", {}).items():\n", + " rows.append(\n", + " {\n", + " \"stage\": stage,\n", + " \"algo\": algo,\n", + " \"seed\": seed,\n", + " \"split\": split,\n", + " \"episodes\": split_obj.get(\"episodes\"),\n", + " \"mean_return\": split_obj.get(\"mean_return\"),\n", + " \"asset_survival_rate\": split_obj.get(\"asset_survival_rate\"),\n", + " \"containment_success_rate\": split_obj.get(\"containment_success_rate\"),\n", + " \"mean_burned_area_fraction\": split_obj.get(\"mean_burned_area_fraction\"),\n", + " \"mean_time_to_containment\": split_obj.get(\"mean_time_to_containment\"),\n", + " \"mean_resource_efficiency\": split_obj.get(\"mean_resource_efficiency\"),\n", + " \"wasted_deployment_rate\": split_obj.get(\"wasted_deployment_rate\"),\n", + " \"mean_normalized_burn_ratio\": split_obj.get(\"mean_normalized_burn_ratio\"),\n", + " \"path\": str(path),\n", + " }\n", + " )\n", + " return rows\n", + "\n", + "\n", + "def extract_best_checkpoint(path: Path, stage: str) -> dict:\n", + " payload = load_json(path)\n", + " val = payload.get(\"val_metrics\", {})\n", + " return {\n", + " \"stage\": stage,\n", + " \"algo\": payload.get(\"algo\"),\n", + " \"seed\": payload.get(\"seed\"),\n", + " \"selected_train_steps\": payload.get(\"selected_train_steps\"),\n", + " \"selection_metric\": payload.get(\"selection_metric\"),\n", + " \"tie_breaker\": payload.get(\"tie_breaker\"),\n", + " \"val_mean_return\": val.get(\"mean_return\"),\n", + " \"val_asset_survival_rate\": val.get(\"asset_survival_rate\"),\n", + " \"val_containment_success_rate\": val.get(\"containment_success_rate\"),\n", + " \"path\": str(path),\n", + " }\n", + "\n", + "\n", + "def extract_checkpoint_curve(path: Path, stage: str) -> list[dict]:\n", + " payload = load_json(path)\n", + " rows: list[dict] = []\n", + " for entry in payload:\n", + " algo = entry.get(\"algo\")\n", + " seed = entry.get(\"seed\")\n", + " step = entry.get(\"train_steps\")\n", + " selected = bool(entry.get(\"selected_for_best\"))\n", + " for split, split_obj in entry.get(\"splits\", {}).items():\n", + " rows.append(\n", + " {\n", + " \"stage\": stage,\n", + " \"algo\": algo,\n", + " \"seed\": seed,\n", + " \"split\": split,\n", + " \"train_steps\": step,\n", + " \"selected_for_best\": selected,\n", + " \"mean_return\": split_obj.get(\"mean_return\"),\n", + " \"asset_survival_rate\": split_obj.get(\"asset_survival_rate\"),\n", + " \"containment_success_rate\": split_obj.get(\"containment_success_rate\"),\n", + " \"mean_burned_area_fraction\": split_obj.get(\"mean_burned_area_fraction\"),\n", + " }\n", + " )\n", + " return rows\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "9f66a1c5", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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stageexistsjson_count
0finalTrue65
1pilot_sweepsTrue39
2smokeTrue13
3karpathyTrue15
4repro_canaryTrue12
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" + ], + "text/plain": [ + " stage exists json_count\n", + "0 final True 65\n", + "1 pilot_sweeps True 39\n", + "2 smoke True 13\n", + "3 karpathy True 15\n", + "4 repro_canary True 12" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "stages = {\n", + " \"final\": FINAL_DIR,\n", + " \"pilot_sweeps\": PILOT_DIR,\n", + " \"smoke\": SMOKE_DIR,\n", + " \"karpathy\": KARPATHY_DIR,\n", + " \"repro_canary\": REPRO_DIR,\n", + "}\n", + "\n", + "manifest_rows = []\n", + "for stage_name, stage_path in stages.items():\n", + " count = len(list(stage_path.rglob(\"*.json\"))) if stage_path.exists() else 0\n", + " manifest_rows.append({\"stage\": stage_name, \"exists\": stage_path.exists(), \"json_count\": count})\n", + "\n", + "manifest_df = pd.DataFrame(manifest_rows)\n", + "manifest_df" + ] + }, + { + "cell_type": "markdown", + "id": "ef732288", + "metadata": {}, + "source": [ + "## Final stage: seed-level and algorithm-level performance" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "99a39f85", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "final eval bundles: 5\n", + "final best eval files: 15\n", + "final best checkpoint files: 15\n", + "final checkpoint curve files: 15\n" + ] + } + ], + "source": [ + "final_eval_bundle_paths = sorted((FINAL_DIR / \"eval\").glob(\"seed_*.json\"))\n", + "final_eval_best_paths = sorted(FINAL_DIR.glob(\"*/seed_*/final_eval_best.json\"))\n", + "final_best_ckpt_paths = sorted(FINAL_DIR.glob(\"*/seed_*/best_checkpoint.json\"))\n", + "final_ckpt_curve_paths = sorted(FINAL_DIR.glob(\"*/seed_*/checkpoint_metrics.json\"))\n", + "\n", + "final_bundle_rows = [row for p in final_eval_bundle_paths for row in extract_eval_seed_json(p)]\n", + "final_bundle_df = pd.DataFrame(final_bundle_rows)\n", + "\n", + "final_best_rows = [row for p in final_eval_best_paths for row in extract_final_eval_best(p, stage=\"final\")]\n", + "final_best_df = pd.DataFrame(final_best_rows)\n", + "\n", + "final_best_ckpt_df = pd.DataFrame([extract_best_checkpoint(p, stage=\"final\") for p in final_best_ckpt_paths])\n", + "final_curve_df = pd.DataFrame([row for p in final_ckpt_curve_paths for row in extract_checkpoint_curve(p, stage=\"final\")])\n", + "\n", + "print(\"final eval bundles:\", len(final_eval_bundle_paths))\n", + "print(\"final best eval files:\", len(final_eval_best_paths))\n", + "print(\"final best checkpoint files:\", len(final_best_ckpt_paths))\n", + "print(\"final checkpoint curve files:\", len(final_ckpt_curve_paths))" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "080e483f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Missing algo/seed final_eval_best pairs: []\n", + "Files with non-finite values: 0\n" + ] + } + ], + "source": [ + "required_algos = {\"ppo\", \"a2c\", \"dqn\"}\n", + "required_seeds = {11, 22, 33, 44, 55}\n", + "\n", + "present = final_best_df[[\"algo\", \"seed\"]].drop_duplicates()\n", + "present_pairs = {(r.algo, int(r.seed)) for r in present.itertuples(index=False)}\n", + "missing_pairs = sorted([(a, s) for a in required_algos for s in required_seeds if (a, s) not in present_pairs])\n", + "\n", + "non_finite_issues = []\n", + "for p in final_eval_best_paths + final_best_ckpt_paths + final_ckpt_curve_paths:\n", + " payload = load_json(p)\n", + " if has_non_finite(payload):\n", + " non_finite_issues.append(str(p))\n", + "\n", + "print(\"Missing algo/seed final_eval_best pairs:\", missing_pairs)\n", + "print(\"Files with non-finite values:\", len(non_finite_issues))\n", + "if non_finite_issues:\n", + " print(pd.Series(non_finite_issues).head(20).to_string(index=False))" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "664abeb7", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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asset_survival_ratemean_returncontainment_success_ratemean_burned_area_fractionmean_resource_efficiencywasted_deployment_rate
meanstdminmaxmeanstdminmaxmeanstdminmaxmeanstdminmaxmeanstdminmaxmeanstdminmax
algo
a2c0.6780.04210.610.7249.164617.529923.02364.2080.2120.04660.150.280.29230.02170.27410.32580.65750.11660.47140.76950.34250.11660.23050.5286
dqn0.7140.03910.660.7560.000827.108113.45481.2140.2240.06350.150.320.27740.03640.23670.33440.67420.06570.57700.74610.32580.06570.25390.4230
ppo0.6980.06420.600.7656.905628.786216.79191.9630.2220.04320.160.280.28160.03410.25390.33800.69410.16080.48110.88430.30590.16080.11570.5189
\n", + "
" + ], + "text/plain": [ + " asset_survival_rate mean_return containment_success_rate mean_burned_area_fraction \\\n", + " mean std min max mean std min max mean std min max mean std min max \n", + "algo \n", + "a2c 0.678 0.0421 0.61 0.72 49.1646 17.5299 23.023 64.208 0.212 0.0466 0.15 0.28 0.2923 0.0217 0.2741 0.3258 \n", + "dqn 0.714 0.0391 0.66 0.75 60.0008 27.1081 13.454 81.214 0.224 0.0635 0.15 0.32 0.2774 0.0364 0.2367 0.3344 \n", + "ppo 0.698 0.0642 0.60 0.76 56.9056 28.7862 16.791 91.963 0.222 0.0432 0.16 0.28 0.2816 0.0341 0.2539 0.3380 \n", + "\n", + " mean_resource_efficiency wasted_deployment_rate \n", + " mean std min max mean std min max \n", + "algo \n", + "a2c 0.6575 0.1166 0.4714 0.7695 0.3425 0.1166 0.2305 0.5286 \n", + "dqn 0.6742 0.0657 0.5770 0.7461 0.3258 0.0657 0.2539 0.4230 \n", + "ppo 0.6941 0.1608 0.4811 0.8843 0.3059 0.1608 0.1157 0.5189 " + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "final_val = final_best_df[(final_best_df[\"split\"] == \"val\") & (final_best_df[\"algo\"].isin([\"ppo\", \"a2c\", \"dqn\"]))]\n", + "\n", + "summary = (\n", + " final_val.groupby(\"algo\")[\n", + " [\n", + " \"asset_survival_rate\",\n", + " \"mean_return\",\n", + " \"containment_success_rate\",\n", + " \"mean_burned_area_fraction\",\n", + " \"mean_resource_efficiency\",\n", + " \"wasted_deployment_rate\",\n", + " ]\n", + " ]\n", + " .agg([\"mean\", \"std\", \"min\", \"max\"])\n", + " .round(4)\n", + ")\n", + "summary" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "64490b91-27b0-4e64-94f7-31fbba09f876", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Final Val Asset Survival by Seed')" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, axes = plt.subplots(1, 2, figsize=(13, 4.5))\n", + "\n", + "for algo in [\"ppo\", \"a2c\", \"dqn\"]:\n", + " sub = final_val[final_val[\"algo\"] == algo].sort_values(\"seed\")\n", + " axes[0].plot(sub[\"seed\"], sub[\"asset_survival_rate\"], marker=\"o\", label=algo)\n", + " axes[1].plot(sub[\"seed\"], sub[\"mean_return\"], marker=\"o\", label=algo)\n", + "\n", + "axes[0].set_title(\"Final Val Asset Survival by Seed\")" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "b16401f6", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "algos = [\"ppo\", \"a2c\", \"dqn\"]\n", + "\n", + "# Compute mean + std across seeds\n", + "means_survival = []\n", + "stds_survival = []\n", + "means_return = []\n", + "stds_return = []\n", + "\n", + "for algo in algos:\n", + " sub = final_val[final_val[\"algo\"] == algo]\n", + " \n", + " means_survival.append(sub[\"asset_survival_rate\"].mean())\n", + " stds_survival.append(sub[\"asset_survival_rate\"].std())\n", + " \n", + " means_return.append(sub[\"mean_return\"].mean())\n", + " stds_return.append(sub[\"mean_return\"].std())\n", + "\n", + "x = np.arange(len(algos))\n", + "width = 0.6\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(13, 4.5))\n", + "\n", + "# Asset survival\n", + "axes[0].bar(x, means_survival, yerr=stds_survival, capsize=5)\n", + "axes[0].set_xticks(x)\n", + "axes[0].set_xticklabels(algos)\n", + "axes[0].set_title(\"Final Val Asset Survival (mean ± std across seeds)\")\n", + "axes[0].set_ylabel(\"Asset survival rate\")\n", + "\n", + "# Mean return\n", + "axes[1].bar(x, means_return, yerr=stds_return, capsize=5)\n", + "axes[1].set_xticks(x)\n", + "axes[1].set_xticklabels(algos)\n", + "axes[1].set_title(\"Final Val Mean Return (mean ± std across seeds)\")\n", + "axes[1].set_ylabel(\"Mean return\")\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "cf535c06", + "metadata": {}, + "source": [ + "## Final checkpoint dynamics and selection audit" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "e4bde54a", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", 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1a2c22140000140000True
2a2c33140000140000True
3a2c44200000200000True
4a2c55180000180000True
5dqn11140000140000True
6dqn22180000180000True
7dqn338000080000True
8dqn44180000180000True
9dqn558000080000True
10ppo11122880122880True
11ppo22143360143360True
12ppo33163840163840True
13ppo44102400102400True
14ppo55143360143360True
\n", + "
" + ], + "text/plain": [ + " algo seed rule_pick_step selected_step matches_rule\n", + "0 a2c 11 80000 80000 True\n", + "1 a2c 22 140000 140000 True\n", + "2 a2c 33 140000 140000 True\n", + "3 a2c 44 200000 200000 True\n", + "4 a2c 55 180000 180000 True\n", + "5 dqn 11 140000 140000 True\n", + "6 dqn 22 180000 180000 True\n", + "7 dqn 33 80000 80000 True\n", + "8 dqn 44 180000 180000 True\n", + "9 dqn 55 80000 80000 True\n", + "10 ppo 11 122880 122880 True\n", + "11 ppo 22 143360 143360 True\n", + "12 ppo 33 163840 163840 True\n", + "13 ppo 44 102400 102400 True\n", + "14 ppo 55 143360 143360 True" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "def selection_consistency(curve_df: pd.DataFrame) -> pd.DataFrame:\n", + " rows = []\n", + " for (algo, seed), sub in curve_df[curve_df[\"split\"] == \"val\"].groupby([\"algo\", \"seed\"]):\n", + " sub = sub.sort_values([\"asset_survival_rate\", \"mean_return\"], ascending=[False, False])\n", + " if sub.empty:\n", + " continue\n", + " rule_pick = int(sub.iloc[0][\"train_steps\"])\n", + " selected = sub[sub[\"selected_for_best\"]]\n", + " selected_step = int(selected.iloc[0][\"train_steps\"]) if not selected.empty else None\n", + " rows.append(\n", + " {\n", + " \"algo\": algo,\n", + " \"seed\": int(seed),\n", + " \"rule_pick_step\": rule_pick,\n", + " \"selected_step\": selected_step,\n", + " \"matches_rule\": rule_pick == selected_step,\n", + " }\n", + " )\n", + " return pd.DataFrame(rows).sort_values([\"algo\", \"seed\"])\n", + "\n", + "selection_audit_df = selection_consistency(final_curve_df)\n", + "selection_audit_df" + ] + }, + { + "cell_type": "markdown", + "id": "346359ee", + "metadata": {}, + "source": [ + "## Hyperparam Sweep Analysis" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "6d17beea", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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algoselected_configselected_asset_survivalselected_mean_returnrunner_up_margin_asset_survivalcandidate_count
0a2clr7e4_n5_ent0010.55-124.8100.053
1dqnlr1e4_ef02_eps005_tu1000_buf100k0.5519.4350.053
2ppolr5e4_n256_ent0020.50-83.7200.003
\n", + "
" + ], + "text/plain": [ + " algo selected_config selected_asset_survival selected_mean_return runner_up_margin_asset_survival candidate_count\n", + "0 a2c lr7e4_n5_ent001 0.55 -124.810 0.05 3\n", + "1 dqn lr1e4_ef02_eps005_tu1000_buf100k 0.55 19.435 0.05 3\n", + "2 ppo lr5e4_n256_ent002 0.50 -83.720 0.00 3" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pilot_winner_paths = sorted(PILOT_DIR.glob(\"*/pilot_winner.json\"))\n", + "pilot_winners = [load_json(p) for p in pilot_winner_paths]\n", + "\n", + "pilot_rows = []\n", + "for pw in pilot_winners:\n", + " algo = pw.get(\"algo\")\n", + " selected = pw.get(\"selected\", {})\n", + " cands = pw.get(\"candidates\", [])\n", + " cands_sorted = sorted(cands, key=lambda x: (x.get(\"asset_survival\", -1), x.get(\"mean_return\", -1e18)), reverse=True)\n", + " margin = None\n", + " if len(cands_sorted) >= 2:\n", + " margin = float(cands_sorted[0].get(\"asset_survival\", 0.0)) - float(cands_sorted[1].get(\"asset_survival\", 0.0))\n", + " pilot_rows.append(\n", + " {\n", + " \"algo\": algo,\n", + " \"selected_config\": selected.get(\"config\"),\n", + " \"selected_asset_survival\": selected.get(\"asset_survival\"),\n", + " \"selected_mean_return\": selected.get(\"mean_return\"),\n", + " \"runner_up_margin_asset_survival\": margin,\n", + " \"candidate_count\": len(cands),\n", + " }\n", + " )\n", + "\n", + "pilot_summary_df = pd.DataFrame(pilot_rows).sort_values(\"algo\")\n", + "pilot_summary_df" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "26fbca5b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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algoconfigasset_survivalmean_returncontainmentselected_checkpoint_step
0a2clr7e4_n5_ent0010.55-124.8100.1020000
1a2clr1e3_n10_ent0020.50-92.8150.1040000
2a2clr3e4_n20_ent0050.50-94.3900.1020000
3dqnlr1e4_ef02_eps005_tu1000_buf100k0.5519.4350.1040000
4dqnlr3e4_ef03_eps01_tu500_buf50k0.502.5300.1540000
5dqnlr5e5_ef01_eps002_tu2000_buf200k0.45-99.2350.1040000
6ppolr5e4_n256_ent0020.50-83.7200.1020480
7ppolr1e4_n1024_ent0050.50-94.3900.1020480
8ppolr3e4_n512_ent0010.50-94.3900.1020480
\n", + "
" + ], + "text/plain": [ + " algo config asset_survival mean_return containment selected_checkpoint_step\n", + "0 a2c lr7e4_n5_ent001 0.55 -124.810 0.10 20000\n", + "1 a2c lr1e3_n10_ent002 0.50 -92.815 0.10 40000\n", + "2 a2c lr3e4_n20_ent005 0.50 -94.390 0.10 20000\n", + "3 dqn lr1e4_ef02_eps005_tu1000_buf100k 0.55 19.435 0.10 40000\n", + "4 dqn lr3e4_ef03_eps01_tu500_buf50k 0.50 2.530 0.15 40000\n", + "5 dqn lr5e5_ef01_eps002_tu2000_buf200k 0.45 -99.235 0.10 40000\n", + "6 ppo lr5e4_n256_ent002 0.50 -83.720 0.10 20480\n", + "7 ppo lr1e4_n1024_ent005 0.50 -94.390 0.10 20480\n", + "8 ppo lr3e4_n512_ent001 0.50 -94.390 0.10 20480" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pilot_candidate_rows = []\n", + "for pw in pilot_winners:\n", + " algo = pw.get(\"algo\")\n", + " for c in pw.get(\"candidates\", []):\n", + " pilot_candidate_rows.append({\"algo\": algo, **c})\n", + "\n", + "pilot_candidates_df = pd.DataFrame(pilot_candidate_rows)\n", + "pilot_candidates_df" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "2a5fbd32", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "if not pilot_candidates_df.empty:\n", + " fig, axes = plt.subplots(1, 3, figsize=(14, 4), sharey=True)\n", + " for i, algo in enumerate([\"ppo\", \"a2c\", \"dqn\"]):\n", + " sub = pilot_candidates_df[pilot_candidates_df[\"algo\"] == algo].sort_values(\"asset_survival\", ascending=False)\n", + " if sub.empty:\n", + " axes[i].set_title(f\"{algo.upper()} (no data)\")\n", + " continue\n", + " axes[i].bar(sub[\"config\"], sub[\"asset_survival\"])\n", + " axes[i].set_title(f\"{algo.upper()} pilot val asset_survival\")\n", + " axes[i].tick_params(axis=\"x\", rotation=40)\n", + " plt.tight_layout()\n", + " plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "c4f143b1", + "metadata": {}, + "source": [ + "## Smoke run checks" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "16f3c02e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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7greedy1.0171.160.80.047041.0000000.000000
5dqn0.6-34.800.00.392640.7333330.266667
9random0.6-85.520.00.414720.2526000.747400
1ppo0.6-110.640.00.400640.0000000.000000
3a2c0.6-147.680.00.394880.0400760.959924
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" + ], + "text/plain": [ + " algo asset_survival_rate mean_return containment_success_rate mean_burned_area_fraction mean_resource_efficiency wasted_deployment_rate\n", + "7 greedy 1.0 171.16 0.8 0.04704 1.000000 0.000000\n", + "5 dqn 0.6 -34.80 0.0 0.39264 0.733333 0.266667\n", + "9 random 0.6 -85.52 0.0 0.41472 0.252600 0.747400\n", + "1 ppo 0.6 -110.64 0.0 0.40064 0.000000 0.000000\n", + "3 a2c 0.6 -147.68 0.0 0.39488 0.040076 0.959924" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "smoke_eval_path = SMOKE_DIR / \"eval_smoke.json\"\n", + "smoke_rows = extract_eval_seed_json(smoke_eval_path, stage=\"smoke_eval_bundle\", seed_override=\"smoke\") if smoke_eval_path.exists() else []\n", + "smoke_df = pd.DataFrame(smoke_rows)\n", + "smoke_val = smoke_df[smoke_df[\"split\"] == \"val\"].copy() if not smoke_df.empty else pd.DataFrame()\n", + "\n", + "if not smoke_val.empty:\n", + " smoke_summary = smoke_val[\n", + " [\n", + " \"algo\",\n", + " \"asset_survival_rate\",\n", + " \"mean_return\",\n", + " \"containment_success_rate\",\n", + " \"mean_burned_area_fraction\",\n", + " \"mean_resource_efficiency\",\n", + " \"wasted_deployment_rate\",\n", + " ]\n", + " ].sort_values([\"asset_survival_rate\", \"mean_return\"], ascending=[False, False])\n", + " display(smoke_summary)\n", + "else:\n", + " smoke_val" + ] + }, + { + "cell_type": "markdown", + "id": "7f6ec362", + "metadata": {}, + "source": [ + "## Overfit Check: Check if model overfits on a single record for architectural soundness " + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "5c04d064", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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4ppo-332.3200.00.10.98928
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" + ], + "text/plain": [ + " algo mean_return asset_survival_rate containment_success_rate mean_burned_area_fraction\n", + "0 a2c -290.320 0.0 0.1 0.96480\n", + "2 dqn -345.065 0.0 0.1 0.98912\n", + "4 ppo -332.320 0.0 0.1 0.98928" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "karpathy_best_paths = sorted(KARPATHY_DIR.glob(\"*/seed_*/final_eval_best.json\"))\n", + "karpathy_rows = [row for p in karpathy_best_paths for row in extract_final_eval_best(p, stage=\"karpathy\")]\n", + "karpathy_df = pd.DataFrame(karpathy_rows)\n", + "\n", + "karpathy_train = karpathy_df[(karpathy_df[\"split\"] == \"train\") & (karpathy_df[\"algo\"].isin([\"ppo\", \"a2c\", \"dqn\"]))]\n", + "karpathy_train[[\"algo\", \"mean_return\", \"asset_survival_rate\", \"containment_success_rate\", \"mean_burned_area_fraction\"]].sort_values(\"algo\")" + ] + }, + { + "cell_type": "markdown", + "id": "575dfd12", + "metadata": {}, + "source": [ + "## Check if seeds working" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "f6e53be0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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algoseedselected_train_steps_smokeval_asset_survival_rate_smokeval_mean_return_smokeselected_train_steps_reproval_asset_survival_rate_reproval_mean_return_reprostep_matchasset_survival_deltamean_return_delta
0a2c11200000.55-124.810200000.55-124.810True0.00.0
1dqn11200000.45-50.065200000.45-50.065True0.00.0
2ppo11204800.50-94.390204800.50-94.390True0.00.0
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" + ], + "text/plain": [ + " algo seed selected_train_steps_smoke val_asset_survival_rate_smoke val_mean_return_smoke selected_train_steps_repro val_asset_survival_rate_repro val_mean_return_repro step_match \\\n", + "0 a2c 11 20000 0.55 -124.810 20000 0.55 -124.810 True \n", + "1 dqn 11 20000 0.45 -50.065 20000 0.45 -50.065 True \n", + "2 ppo 11 20480 0.50 -94.390 20480 0.50 -94.390 True \n", + "\n", + " asset_survival_delta mean_return_delta \n", + "0 0.0 0.0 \n", + "1 0.0 0.0 \n", + "2 0.0 0.0 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "repro_best_ckpt_paths = sorted(REPRO_DIR.glob(\"smoke/*/seed_*/best_checkpoint.json\"))\n", + "repro_ckpt_df = pd.DataFrame([extract_best_checkpoint(p, stage=\"repro_smoke\") for p in repro_best_ckpt_paths]) if repro_best_ckpt_paths else pd.DataFrame()\n", + "\n", + "base_smoke_best_ckpt_paths = sorted(SMOKE_DIR.glob(\"*/seed_*/best_checkpoint.json\"))\n", + "base_smoke_ckpt_df = pd.DataFrame([extract_best_checkpoint(p, stage=\"smoke\") for p in base_smoke_best_ckpt_paths]) if base_smoke_best_ckpt_paths else pd.DataFrame()\n", + "\n", + "if not repro_ckpt_df.empty and not base_smoke_ckpt_df.empty:\n", + " compare_cols = [\"algo\", \"seed\", \"selected_train_steps\", \"val_asset_survival_rate\", \"val_mean_return\"]\n", + " merged = base_smoke_ckpt_df[compare_cols].merge(\n", + " repro_ckpt_df[compare_cols],\n", + " on=[\"algo\", \"seed\"],\n", + " suffixes=(\"_smoke\", \"_repro\"),\n", + " )\n", + " merged[\"step_match\"] = merged[\"selected_train_steps_smoke\"] == merged[\"selected_train_steps_repro\"]\n", + " merged[\"asset_survival_delta\"] = merged[\"val_asset_survival_rate_repro\"] - merged[\"val_asset_survival_rate_smoke\"]\n", + " merged[\"mean_return_delta\"] = merged[\"val_mean_return_repro\"] - merged[\"val_mean_return_smoke\"]\n", + " display(merged.sort_values([\"algo\", \"seed\"]))\n", + "else:\n", + " print(\"No repro canary files found to compare.\")" + ] + }, + { + "cell_type": "markdown", + "id": "d74cc7e0", + "metadata": {}, + "source": [ + "## Decision table and recommended next steps" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "a069760a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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algoval_mean_asset_survivalstd_across_seeds_asset_survivalval_mean_returnstd_across_seeds_returnval_mean_containment_successstd_across_seeds_containment_successval_mean_burned_area_fractionstd_across_seeds_burned_area_fractionsmoke_beats_random_asset_survivalselection_rule_consistentkarpathy_nonzero_containment
1dqn0.7140.039160.000827.10810.2240.06350.27740.0364FalseTrueTrue
2ppo0.6980.064256.905628.78620.2220.04320.28160.0341FalseTrueTrue
0a2c0.6780.042149.164617.52990.2120.04660.29230.0217FalseTrueTrue
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" + ], + "text/plain": [ + " algo val_mean_asset_survival std_across_seeds_asset_survival val_mean_return std_across_seeds_return val_mean_containment_success std_across_seeds_containment_success \\\n", + "1 dqn 0.714 0.0391 60.0008 27.1081 0.224 0.0635 \n", + "2 ppo 0.698 0.0642 56.9056 28.7862 0.222 0.0432 \n", + "0 a2c 0.678 0.0421 49.1646 17.5299 0.212 0.0466 \n", + "\n", + " val_mean_burned_area_fraction std_across_seeds_burned_area_fraction smoke_beats_random_asset_survival selection_rule_consistent karpathy_nonzero_containment \n", + "1 0.2774 0.0364 False True True \n", + "2 0.2816 0.0341 False True True \n", + "0 0.2923 0.0217 False True True " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "learned_algos = [\"ppo\", \"a2c\", \"dqn\"]\n", + "\n", + "if \"smoke_val\" not in globals():\n", + " smoke_eval_path = SMOKE_DIR / \"eval_smoke.json\"\n", + " smoke_rows = extract_eval_seed_json(smoke_eval_path, stage=\"smoke_eval_bundle\", seed_override=\"smoke\") if smoke_eval_path.exists() else []\n", + " smoke_df = pd.DataFrame(smoke_rows)\n", + " smoke_val = smoke_df[smoke_df[\"split\"] == \"val\"].copy() if not smoke_df.empty else pd.DataFrame()\n", + "\n", + "final_val_core = final_val[\n", + " [\n", + " \"algo\",\n", + " \"seed\",\n", + " \"asset_survival_rate\",\n", + " \"mean_return\",\n", + " \"containment_success_rate\",\n", + " \"mean_burned_area_fraction\",\n", + " ]\n", + "].copy()\n", + "\n", + "final_stats = final_val_core.groupby(\"algo\").agg(\n", + " val_mean_asset_survival=(\"asset_survival_rate\", \"mean\"),\n", + " std_across_seeds_asset_survival=(\"asset_survival_rate\", \"std\"),\n", + " val_mean_return=(\"mean_return\", \"mean\"),\n", + " std_across_seeds_return=(\"mean_return\", \"std\"),\n", + " val_mean_containment_success=(\"containment_success_rate\", \"mean\"),\n", + " std_across_seeds_containment_success=(\"containment_success_rate\", \"std\"),\n", + " val_mean_burned_area_fraction=(\"mean_burned_area_fraction\", \"mean\"),\n", + " std_across_seeds_burned_area_fraction=(\"mean_burned_area_fraction\", \"std\"),\n", + ").reset_index()\n", + "\n", + "smoke_val_agents = smoke_val[smoke_val[\"algo\"].isin(learned_algos)] if not smoke_val.empty else pd.DataFrame()\n", + "random_smoke = smoke_val[smoke_val[\"algo\"] == \"random\"][\"asset_survival_rate\"].mean() if not smoke_val.empty else np.nan\n", + "\n", + "final_stats[\"smoke_beats_random_asset_survival\"] = final_stats[\"algo\"].map(\n", + " {\n", + " a: (\n", + " float(smoke_val_agents[smoke_val_agents[\"algo\"] == a][\"asset_survival_rate\"].mean()) > random_smoke\n", + " if (not smoke_val_agents.empty and not np.isnan(random_smoke))\n", + " else None\n", + " )\n", + " for a in learned_algos\n", + " }\n", + ")\n", + "\n", + "sel_ok = selection_audit_df.groupby(\"algo\")[\"matches_rule\"].all().to_dict() if not selection_audit_df.empty else {}\n", + "final_stats[\"selection_rule_consistent\"] = final_stats[\"algo\"].map(lambda a: sel_ok.get(a, None))\n", + "\n", + "karpathy_ok_map = {}\n", + "if not karpathy_train.empty:\n", + " for a in learned_algos:\n", + " sub = karpathy_train[karpathy_train[\"algo\"] == a]\n", + " if sub.empty:\n", + " karpathy_ok_map[a] = None\n", + " else:\n", + " karpathy_ok_map[a] = bool(float(sub[\"containment_success_rate\"].mean()) > 0.0)\n", + "\n", + "final_stats[\"karpathy_nonzero_containment\"] = final_stats[\"algo\"].map(lambda a: karpathy_ok_map.get(a, None))\n", + "\n", + "final_stats = final_stats.sort_values(\"val_mean_asset_survival\", ascending=False).round(4)\n", + "display(final_stats)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.14.2" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/notebooks/training_1_analysis.ipynb b/notebooks/training_1_analysis.ipynb new file mode 100644 index 0000000..29bd5e8 --- /dev/null +++ b/notebooks/training_1_analysis.ipynb @@ -0,0 +1,1954 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "16153bdb", + "metadata": {}, + "source": [ + "# Training 1 Analysis\n", + "\n", + "This notebook analyzes the initial training run, with no additional data cleaning, extracted under `training-outputs/outputs/benchmark` to evaluate performance of the algos on the environment and determine if additional preprocessing and hardening the training process is are needed." + ] + }, + { + "cell_type": "markdown", + "id": "3bfa0408", + "metadata": {}, + "source": [ + "## Scope\n", + "\n", + "- Final run performance across seeds and algorithms\n", + "- Pilot sweep outcomes and winner margins\n", + "- Smoke run sanity checks\n", + "- Karpathy one-record overfit diagnostic\n", + "- Optional repro canary comparison\n", + "- Rule-based recommendation for next steps" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "f5737021", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Project root: /home/makerspace/thomson/firebot-eval\n", + "Data root: /home/makerspace/thomson/firebot-eval/training-outputs/training_1/outputs/benchmark\n", + "Exists: True\n" + ] + } + ], + "source": [ + "from __future__ import annotations\n", + "\n", + "import json\n", + "import math\n", + "import re\n", + "from pathlib import Path\n", + "\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "import pandas as pd\n", + "\n", + "plt.style.use(\"ggplot\")\n", + "pd.set_option(\"display.max_columns\", 200)\n", + "pd.set_option(\"display.width\", 200)\n", + "\n", + "PROJECT_ROOT = Path.cwd().resolve().parent if Path.cwd().name == \"notebooks\" else Path.cwd().resolve()\n", + "DATA_ROOT = PROJECT_ROOT / \"training-outputs\" / \"training_1\" / \"outputs\" / \"benchmark\"\n", + "\n", + "FINAL_DIR = DATA_ROOT / \"final\"\n", + "PILOT_DIR = DATA_ROOT / \"pilot_sweeps\"\n", + "SMOKE_DIR = DATA_ROOT / \"smoke\"\n", + "KARPATHY_DIR = DATA_ROOT / \"karpathy\"\n", + "REPRO_DIR = DATA_ROOT / \"repro_canary\"\n", + "\n", + "print(f\"Project root: {PROJECT_ROOT}\")\n", + "print(f\"Data root: {DATA_ROOT}\")\n", + "print(f\"Exists: {DATA_ROOT.exists()}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "197d3a70", + "metadata": {}, + "outputs": [], + "source": [ + "def load_json(path: Path):\n", + " return json.loads(path.read_text())\n", + "\n", + "\n", + "def _iter_numbers(obj):\n", + " if isinstance(obj, dict):\n", + " for v in obj.values():\n", + " yield from _iter_numbers(v)\n", + " elif isinstance(obj, list):\n", + " for v in obj:\n", + " yield from _iter_numbers(v)\n", + " elif isinstance(obj, (int, float)):\n", + " yield float(obj)\n", + "\n", + "\n", + "def has_non_finite(obj) -> bool:\n", + " for n in _iter_numbers(obj):\n", + " if not math.isfinite(n):\n", + " return True\n", + " return False\n", + "\n", + "\n", + "def infer_seed_token(path: Path):\n", + " stem = path.stem\n", + " match = re.search(r\"(\\d+)$\", stem)\n", + " if match:\n", + " return int(match.group(1))\n", + " return stem\n", + "\n", + "\n", + "def extract_eval_seed_json(path: Path, stage: str = \"final_eval_bundle\", seed_override=None) -> list[dict]:\n", + " payload = load_json(path)\n", + " seed = seed_override if seed_override is not None else infer_seed_token(path)\n", + " rows: list[dict] = []\n", + " for agent, agent_payload in payload.get(\"results\", {}).items():\n", + " for split in (\"train\", \"val\", \"family_holdout\", \"temporal_holdout_diagnostic\"):\n", + " split_obj = agent_payload.get(split)\n", + " if not split_obj:\n", + " continue\n", + " aggregate = split_obj.get(\"aggregate\", {})\n", + " rows.append(\n", + " {\n", + " \"stage\": stage,\n", + " \"seed\": seed,\n", + " \"algo\": agent,\n", + " \"split\": split,\n", + " \"episodes\": aggregate.get(\"episodes_per_seed\"),\n", + " \"mean_return\": aggregate.get(\"mean_return\"),\n", + " \"asset_survival_rate\": aggregate.get(\"asset_survival_rate\"),\n", + " \"containment_success_rate\": aggregate.get(\"containment_success_rate\"),\n", + " \"mean_burned_area_fraction\": aggregate.get(\"mean_burned_area_fraction\"),\n", + " \"mean_time_to_containment\": aggregate.get(\"mean_time_to_containment\"),\n", + " \"mean_resource_efficiency\": aggregate.get(\"mean_resource_efficiency\"),\n", + " \"wasted_deployment_rate\": aggregate.get(\"wasted_deployment_rate\"),\n", + " \"mean_normalized_burn_ratio\": aggregate.get(\"mean_normalized_burn_ratio\"),\n", + " }\n", + " )\n", + " return rows\n", + "\n", + "\n", + "def extract_final_eval_best(path: Path, stage: str) -> list[dict]:\n", + " payload = load_json(path)\n", + " rows: list[dict] = []\n", + " algo = payload.get(\"algo\")\n", + " seed = payload.get(\"seed\")\n", + " for split, split_obj in payload.get(\"splits\", {}).items():\n", + " rows.append(\n", + " {\n", + " \"stage\": stage,\n", + " \"algo\": algo,\n", + " \"seed\": seed,\n", + " \"split\": split,\n", + " \"episodes\": split_obj.get(\"episodes\"),\n", + " \"mean_return\": split_obj.get(\"mean_return\"),\n", + " \"asset_survival_rate\": split_obj.get(\"asset_survival_rate\"),\n", + " \"containment_success_rate\": split_obj.get(\"containment_success_rate\"),\n", + " \"mean_burned_area_fraction\": split_obj.get(\"mean_burned_area_fraction\"),\n", + " \"mean_time_to_containment\": split_obj.get(\"mean_time_to_containment\"),\n", + " \"mean_resource_efficiency\": split_obj.get(\"mean_resource_efficiency\"),\n", + " \"wasted_deployment_rate\": split_obj.get(\"wasted_deployment_rate\"),\n", + " \"mean_normalized_burn_ratio\": split_obj.get(\"mean_normalized_burn_ratio\"),\n", + " \"path\": str(path),\n", + " }\n", + " )\n", + " return rows\n", + "\n", + "\n", + "def extract_best_checkpoint(path: Path, stage: str) -> dict:\n", + " payload = load_json(path)\n", + " val = payload.get(\"val_metrics\", {})\n", + " return {\n", + " \"stage\": stage,\n", + " \"algo\": payload.get(\"algo\"),\n", + " \"seed\": payload.get(\"seed\"),\n", + " \"selected_train_steps\": payload.get(\"selected_train_steps\"),\n", + " \"selection_metric\": payload.get(\"selection_metric\"),\n", + " \"tie_breaker\": payload.get(\"tie_breaker\"),\n", + " \"val_mean_return\": val.get(\"mean_return\"),\n", + " \"val_asset_survival_rate\": val.get(\"asset_survival_rate\"),\n", + " \"val_containment_success_rate\": val.get(\"containment_success_rate\"),\n", + " \"path\": str(path),\n", + " }\n", + "\n", + "\n", + "def extract_checkpoint_curve(path: Path, stage: str) -> list[dict]:\n", + " payload = load_json(path)\n", + " rows: list[dict] = []\n", + " for entry in payload:\n", + " algo = entry.get(\"algo\")\n", + " seed = entry.get(\"seed\")\n", + " step = entry.get(\"train_steps\")\n", + " selected = bool(entry.get(\"selected_for_best\"))\n", + " for split, split_obj in entry.get(\"splits\", {}).items():\n", + " rows.append(\n", + " {\n", + " \"stage\": stage,\n", + " \"algo\": algo,\n", + " \"seed\": seed,\n", + " \"split\": split,\n", + " \"train_steps\": step,\n", + " \"selected_for_best\": selected,\n", + " \"mean_return\": split_obj.get(\"mean_return\"),\n", + " \"asset_survival_rate\": split_obj.get(\"asset_survival_rate\"),\n", + " \"containment_success_rate\": split_obj.get(\"containment_success_rate\"),\n", + " \"mean_burned_area_fraction\": split_obj.get(\"mean_burned_area_fraction\"),\n", + " }\n", + " )\n", + " return rows\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "9f66a1c5", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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4repro_canaryTrue12
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" + ], + "text/plain": [ + " stage exists json_count\n", + "0 final True 60\n", + "1 pilot_sweeps True 83\n", + "2 smoke True 13\n", + "3 karpathy True 15\n", + "4 repro_canary True 12" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "stages = {\n", + " \"final\": FINAL_DIR,\n", + " \"pilot_sweeps\": PILOT_DIR,\n", + " \"smoke\": SMOKE_DIR,\n", + " \"karpathy\": KARPATHY_DIR,\n", + " \"repro_canary\": REPRO_DIR,\n", + "}\n", + "\n", + "manifest_rows = []\n", + "for stage_name, stage_path in stages.items():\n", + " count = len(list(stage_path.rglob(\"*.json\"))) if stage_path.exists() else 0\n", + " manifest_rows.append({\"stage\": stage_name, \"exists\": stage_path.exists(), \"json_count\": count})\n", + "\n", + "manifest_df = pd.DataFrame(manifest_rows)\n", + "manifest_df" + ] + }, + { + "cell_type": "markdown", + "id": "ef732288", + "metadata": {}, + "source": [ + "## Final stage: seed-level and algorithm-level performance" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "99a39f85", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "final eval bundles: 0\n", + "final best eval files: 15\n", + "final best checkpoint files: 15\n", + "final checkpoint curve files: 15\n" + ] + } + ], + "source": [ + "final_eval_bundle_paths = sorted((FINAL_DIR / \"eval\").glob(\"seed_*.json\"))\n", + "final_eval_best_paths = sorted(FINAL_DIR.glob(\"*/seed_*/final_eval_best.json\"))\n", + "final_best_ckpt_paths = sorted(FINAL_DIR.glob(\"*/seed_*/best_checkpoint.json\"))\n", + "final_ckpt_curve_paths = sorted(FINAL_DIR.glob(\"*/seed_*/checkpoint_metrics.json\"))\n", + "\n", + "final_bundle_rows = [row for p in final_eval_bundle_paths for row in extract_eval_seed_json(p)]\n", + "final_bundle_df = pd.DataFrame(final_bundle_rows)\n", + "\n", + "final_best_rows = [row for p in final_eval_best_paths for row in extract_final_eval_best(p, stage=\"final\")]\n", + "final_best_df = pd.DataFrame(final_best_rows)\n", + "\n", + "final_best_ckpt_df = pd.DataFrame([extract_best_checkpoint(p, stage=\"final\") for p in final_best_ckpt_paths])\n", + "final_curve_df = pd.DataFrame([row for p in final_ckpt_curve_paths for row in extract_checkpoint_curve(p, stage=\"final\")])\n", + "\n", + "print(\"final eval bundles:\", len(final_eval_bundle_paths))\n", + "print(\"final best eval files:\", len(final_eval_best_paths))\n", + "print(\"final best checkpoint files:\", len(final_best_ckpt_paths))\n", + "print(\"final checkpoint curve files:\", len(final_ckpt_curve_paths))" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "080e483f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Missing algo/seed final_eval_best pairs: []\n", + "Files with non-finite values: 0\n" + ] + } + ], + "source": [ + "required_algos = {\"ppo\", \"a2c\", \"dqn\"}\n", + "required_seeds = {11, 22, 33, 44, 55}\n", + "\n", + "present = final_best_df[[\"algo\", \"seed\"]].drop_duplicates()\n", + "present_pairs = {(r.algo, int(r.seed)) for r in present.itertuples(index=False)}\n", + "missing_pairs = sorted([(a, s) for a in required_algos for s in required_seeds if (a, s) not in present_pairs])\n", + "\n", + "non_finite_issues = []\n", + "for p in final_eval_best_paths + final_best_ckpt_paths + final_ckpt_curve_paths:\n", + " payload = load_json(p)\n", + " if has_non_finite(payload):\n", + " non_finite_issues.append(str(p))\n", + "\n", + "print(\"Missing algo/seed final_eval_best pairs:\", missing_pairs)\n", + "print(\"Files with non-finite values:\", len(non_finite_issues))\n", + "if non_finite_issues:\n", + " print(pd.Series(non_finite_issues).head(20).to_string(index=False))" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "664abeb7", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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asset_survival_ratemean_returncontainment_success_ratemean_burned_area_fractionmean_resource_efficiencywasted_deployment_rate
meanstdminmaxmeanstdminmaxmeanstdminmaxmeanstdminmaxmeanstdminmaxmeanstdminmax
algo
a2c0.7060.03580.660.7469.861424.477843.61395.0020.2080.04320.150.260.28230.01190.27040.29960.61380.12890.43010.76800.38620.12890.23200.5699
dqn0.6640.03780.600.7045.468012.394729.11255.1970.2020.03630.160.240.28930.01760.27010.31640.77780.08690.66270.89990.22220.08690.10010.3373
ppo0.6680.05310.590.7348.739621.157116.62270.3350.2160.03440.170.250.28640.01930.27160.31640.62160.09350.48720.74000.37840.09350.26000.5128
\n", + "
" + ], + "text/plain": [ + " asset_survival_rate mean_return containment_success_rate mean_burned_area_fraction \\\n", + " mean std min max mean std min max mean std min max mean std min max \n", + "algo \n", + "a2c 0.706 0.0358 0.66 0.74 69.8614 24.4778 43.613 95.002 0.208 0.0432 0.15 0.26 0.2823 0.0119 0.2704 0.2996 \n", + "dqn 0.664 0.0378 0.60 0.70 45.4680 12.3947 29.112 55.197 0.202 0.0363 0.16 0.24 0.2893 0.0176 0.2701 0.3164 \n", + "ppo 0.668 0.0531 0.59 0.73 48.7396 21.1571 16.622 70.335 0.216 0.0344 0.17 0.25 0.2864 0.0193 0.2716 0.3164 \n", + "\n", + " mean_resource_efficiency wasted_deployment_rate \n", + " mean std min max mean std min max \n", + "algo \n", + "a2c 0.6138 0.1289 0.4301 0.7680 0.3862 0.1289 0.2320 0.5699 \n", + "dqn 0.7778 0.0869 0.6627 0.8999 0.2222 0.0869 0.1001 0.3373 \n", + "ppo 0.6216 0.0935 0.4872 0.7400 0.3784 0.0935 0.2600 0.5128 " + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "final_val = final_best_df[(final_best_df[\"split\"] == \"val\") & (final_best_df[\"algo\"].isin([\"ppo\", \"a2c\", \"dqn\"]))]\n", + "\n", + "summary = (\n", + " final_val.groupby(\"algo\")[\n", + " [\n", + " \"asset_survival_rate\",\n", + " \"mean_return\",\n", + " \"containment_success_rate\",\n", + " \"mean_burned_area_fraction\",\n", + " \"mean_resource_efficiency\",\n", + " \"wasted_deployment_rate\",\n", + " ]\n", + " ]\n", + " .agg([\"mean\", \"std\", \"min\", \"max\"])\n", + " .round(4)\n", + ")\n", + "summary" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "64490b91-27b0-4e64-94f7-31fbba09f876", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Final Val Asset Survival by Seed')" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, axes = plt.subplots(1, 2, figsize=(13, 4.5))\n", + "\n", + "for algo in [\"ppo\", \"a2c\", \"dqn\"]:\n", + " sub = final_val[final_val[\"algo\"] == algo].sort_values(\"seed\")\n", + " axes[0].plot(sub[\"seed\"], sub[\"asset_survival_rate\"], marker=\"o\", label=algo)\n", + " axes[1].plot(sub[\"seed\"], sub[\"mean_return\"], marker=\"o\", label=algo)\n", + "\n", + "axes[0].set_title(\"Final Val Asset Survival by Seed\")" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "b16401f6", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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7+pkzZxqSjPLlyxvdunUzLl26ZC/bsGGDIcno2bOnw76mTZtmSDJ69eplpKenO5Tlnq+JEyc6rHd2/NnZ2cagQYMMScbWrVsdyly5juTn8OHDTq9lNWvWNEJCQpyWOWtzf2a1Wg2TyWQ0b97cyMrKylP+589CknHHHXc43dd3331nSDJq165t/PHHH/b1ly5dMlq3bm1IMmrWrFmg4zWMwp/v/v37G5KMxx57zKF9GIZhXLhwwbBarfbl3M+mSpUqxqFDhxzq5uTkGPXq1TMkGbNmzXIomzdvniHJqFu3rv09fvrpJ6dtLDfes2fP2pebNWtm+Pj4GKdPn85T19nP+p8V5vM6e/asERoaalSsWNHYu3evQ709e/YYgYGBRtOmTR3W556XCRMmOKy/dOmS0blzZ8NkMhm7du2yr589e7YhyWjdurXDz90ff/xhREdH52kvhTlXVx+zJKNFixbOTwpQCPQNi7dvmFs/Pj7eMAzD6NSpkxEaGurwe7ZevXpGnTp1DMMwjIEDB+Y5Xlf6da4elyRj7NixDmUrV640JBn33HNPgY7ZMAyjZs2aTvt6P//8sxEQEGBIMn744Qf7+hu5Puf3u71mzZr5/o7Nr13lnoOHHnrIsNlsebbLLX/kkUccfufs3bvX8PLyMm655Ran7+cMfbz80ce7gj4efbybCUnCUir3l42zf7kN+nodwSlTpuTZ7yeffGJIMiZNmlSgOP744w9DkvHwww87rHclUdW2bVtDkrFq1SqH9SNHjjQkGe+++26B9tO9e3fD19fXuHz5sn2dK0nCtLQ0o1y5ckZISIjDxePZZ581JBkffPCBQ/3cJOHzzz9/3X1XqFDBiIqKcugEOrN48WJDkvHcc885LZ84caIhyfjyyy/t61xNEhqGYbz77rtGSEiIQ3uKiIgwBgwYYKxfvz5P/RtJEi5evNhpDLkX7T8f8/bt2+2doqs5O9709HQjJCTEiIiIyPOLqEGDBoa3t3eBfqEZhmF8/vnnhiRjxowZTo+joCIjIw1vb+98yyUZAQEBef4QyMrKMiwWiyHJ+O233/JsFxUVZURFRTmsa9KkiWGxWIxz587lqZ+VlWVUrFixwL+wduzYYUgyxo0b57C+KK8juW2lMP8K0r7Pnz9vSDLi4uKc/iH7Z9fqQA4bNsyQZHzyySf5xl+YDmR+nJ3v06dPG2az2YiMjDTS0tKuu4/cz+bPfyQYhmFs2rTJkGS0adPG6ba51+Hcn/fcTlH//v2v+77NmjUzAgICnHaUCqIwn1futW/y5MlOy59++mlDkr1zmZKSYnh5eRm33Xab0/o//vijIcn429/+Zl935513GpKMNWvW5Kmf+0easw5kQc7V1fz8/Izw8PBCbQM4Q98wf0XRN/xzkjD3j+7c/kFuUif3j1RnSUJX+nWuHlfNmjWd/jFeo0YNo2LFigXav2H8L0n41FNPGWPGjDFefPFFY9CgQUZgYKDTYyns9dkwii9JmF9SI7c8ICAgz5f+hmEYt99+uyHJuHDhgtNt/4w+Xv7o4/0PfTz6eDcLhhuXcoZhuLzt1fO65apevbqkK7c9X+3ixYt69913tWjRIh04cEAXLlxweO8TJ064HEeu4cOHa9OmTZoyZYr9duNLly5p9uzZ8vPz00MPPeRQ/8svv9SHH36oH374QSkpKXmeIJeSkqLIyEiX45k3b54uXLigRx99VH5+fvb1Q4YM0VtvvaUpU6ZoxIgR9vV33HGHqlatqtdff107d+5U165dFR8fryZNmuQZbjNw4EBNmjRJ9evX1/3336877rhDbdq0yfO0wS1btki6MmTE2UTkuXNL7N+/32FoiquefPJJDRs2TKtWrdLmzZu1a9cubd68WXPmzNGcOXP00ksv6ZVXXrnh95GuTOjqTK9evRQSEqLZs2fr9ddft5+73PlqrjXUOJe/v7/uv/9+TZkyRV9//bX93OzYsUN79+5Vr1698jzs5OjRo5owYYJWr16to0eP6tKlSw7lN9rG//jjD5UvX/6adWJjY1WuXDmHdV5eXgoPD9fFixftw9WvVrVqVYc5MtPT07V7925VqlRJEydOdPo+vr6+eR5C88cff+iNN97QihUrdOjQIV28eNGhPL/jL8x1JD/t27d3ei270Umtg4OD1b17dy1btkxNmjRRnz591K5dO7Vq1UoBAQGF2tfOnTslyenE7G3bti30kLrCnO/t27crJydHt99+uwIDAwv8Hs5+xnKPo2PHjk636dixozZt2qRdu3bp9ttvV/369dWkSRPNnTtXv//+u3r06KG2bdvqtttuyzP0ZuDAgXr22WdVv3599evXT3fccYfi4+NVuXLlAsVbmM8r99q4e/dup9fG3GkT9u/fr/r162v79u3Kzs52Ok+qJNlsNnv9q8+V2Wx2Onzs6iFKuQpzrq5WoUIFh/mGgBtF37D4+oZXy+1LTJkyRYMGDdJHH30kb2/va/ZTXO3XuXJczvqf0pXPMzeOwnA2X/TYsWPzPE27sNfn4hQVFaWwsLB8y+vUqaPg4OA8669u80FBQdd9H/p4+aOPRx9Poo93syFJeBNzNtdH7vwV2dnZ9nU2m00dO3bU999/r4YNG+qBBx5Q5cqV7fOPjBs3Lt8JPgujb9++euqpp7R48WKlpKSoUqVK+uyzz3T+/Hk9+OCDDr983333XT399NMqX7687rrrLtWoUUMBAQEymUz2eU1uNKaPPvpIUt6kVMOGDdW8eXPt2LFDP/zwg/0XaHBwsLZu3aoxY8Zo6dKl+vrrryVdefruyJEj9eKLL9rP2TvvvKPo6GhNmzZNr7/+ul5//XVZLBZ17dpVb731lmJiYiRd+SUj6ZoTF0tSWlraDR3r1QICAtSjRw/16NFD0pVJXadMmaKnnnpKr776qnr37q0mTZrc8PtEREQ4XX91gu+bb77RPffco8uXL2vu3LmqXLmy7rnnngLtf8iQIZoyZYpmzJhh72jnJhr/PMfMoUOH1LJlS507d07t2rXT3XffrZCQEHl5eenIkSOaMWPGDbcnf3//607k/uckcS6LxXLNsqv/WDh37pwMw1BycrL9ITbXY7Va1aJFCx0+fFgtW7bUoEGDVKFCBVksFlmtVr377rv5Hn9BryPuMn/+fE2YMEFz5syx/yHj5+envn376s0338wzx0t+cieudlbfYrEU6gnbhT3fVqtV0pU/FgrD2c9Y7nHk90dy7vrc9/Ty8tKaNWv0yiuvaOHChfq///s/SVK5cuU0ePBg/etf/7L/ATVq1ChVqlRJH3zwgd577z1NnDhRJpNJd9xxh9544w2nf2z8WUE/r9xr45QpU665v9xrY2797du3O51g/8/1pSvnqkKFCnnm2pKcn9vCnKurXbp0Sf7+/tc8DqCk0DcsOB8fHw0aNEhvv/22tmzZooULF+q+++67ZlLKlX6dq8eV35x+Fosl34cnXMvhw4cVFRWljIwM/fjjj3rsscc0btw4+5yHfz7Ggl6fi1N+fc1c1zpHUsH7MfTx3IM+nvPjoI937foSfbwb5r6bGHEt+v+3Y1/L9YaUFHSI6GeffWZIMoYMGZKnflJSktPbt10d8vrXv/7VkGS89dZbhmH877boDRs22OvYbDYjNDTUiIiIcDpnXu6cdlcfX2GHlOzevbtAt8MnJCQ43T4nJ8dITEw03nvvPaNu3bqGJOPFF190Wvf06dPG559/bvzlL38xpCvzYeQOQ84d2rxkyZICxW0YNzbc+FoefPBBh8/GMAzj4YcfNiQZv/76a576ixYtytOWDKNgw3Rzb5d/4IEHDMMwjC+++MI+1OXPrnW8derUMfz8/Ixz584Zly9fNipVqmRUqlTJYViOYRjG448/bkiyz9l0tdz5DV05jj/HIinPe+dy9nOU61rDbP4cx4ULFwxJeebquJY33njD6TEahmFs3ry5SK4jrrjjjjuKZHhHrqNHjxqzZs2yDzFo27atQ/m1PoNmzZrlOxzIZrMZXl5eBY61sOd7+fLlDj8P13Otz+a999675vXo5ZdfNiQZ77zzjtPyX3/91Zg6darRokULQ5Lx4IMPOq137tw548svvzSGDRtmmM1mo0KFCsaZM2cKFH+ua31effr0MSQZu3fvLtC+cudcfeaZZwr8/hUqVDDMZrPTn9nc3yn5tRfDKNi5ys7ONkwmkxEdHV3guID80Dcs3r7hn4cbG4Zh7N+/35BkVKtWzZBkfP311/YyZ8ONC9uvK47jKmz/Jb85CZOSkozg4GAjMDDQOHHihH19Ya/PhnH94ca1atUyqlat6rTsqaeectqurneNvlb59eL5M/p4hUcf7wr6ePTxyiKz89QhPMnBgwclSb17985Ttn79+iJ9r+HDh0uSPv74Y/3888/atGmT6tWrp3bt2tnrpKSkyGq1Ki4uLs83JWlpafZbrW9E7l2E7du31yOPPOL0n7+/v+bOnev0m1CTyaQGDRror3/9q/2x54sXL3b6XmFhYerdu7cWLFigjh076rffflNiYqIk2Z9mtnHjxgLHnntLfFF/w5c7RMK4ashA7jf4x44dy1P/hx9+cPm94uPjVadOHS1ZskTnz5/P9w7A6xk8eLAyMjI0f/58ffnll0pJSdGAAQPyfGuU28b79OmTZx9F1cYbN24sSfrll1+KZH/5CQoKUoMGDbR3716dPXu2QNuUxPGXBtWrV9fAgQP19ddfKyYmRps2bbJ/+yhJZrM535+b3CeoOTsfmzZtKtTPW2HPd8uWLWU2m7Vhw4Y8Q1YKq2nTppKkdevWOS1fu3atJDk8Me5qMTExeuSRR7R+/XoFBQVpyZIlTuuFhoaqa9eumjJlioYMGaKzZ89qw4YNhYr1Wp9XYa+NueewMNfSZs2aKScnR5s2bcpTlt/5u1pBztUvv/wiwzCK5O5soCR5Yt/Qmdw4jh8/rqioKN11113XrF/Ya5e7jqsgIiMjNXr0aF28eNFhyHFx9F3Lly+v06dP24cNXu1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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "algos = [\"ppo\", \"a2c\", \"dqn\"]\n", + "\n", + "# Compute mean + std across seeds\n", + "means_survival = []\n", + "stds_survival = []\n", + "means_return = []\n", + "stds_return = []\n", + "\n", + "for algo in algos:\n", + " sub = final_val[final_val[\"algo\"] == algo]\n", + " \n", + " means_survival.append(sub[\"asset_survival_rate\"].mean())\n", + " stds_survival.append(sub[\"asset_survival_rate\"].std())\n", + " \n", + " means_return.append(sub[\"mean_return\"].mean())\n", + " stds_return.append(sub[\"mean_return\"].std())\n", + "\n", + "x = np.arange(len(algos))\n", + "width = 0.6\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(13, 4.5))\n", + "\n", + "# Asset survival\n", + "axes[0].bar(x, means_survival, yerr=stds_survival, capsize=5)\n", + "axes[0].set_xticks(x)\n", + "axes[0].set_xticklabels(algos)\n", + "axes[0].set_title(\"Final Val Asset Survival (mean ± std across seeds)\")\n", + "axes[0].set_ylabel(\"Asset survival rate\")\n", + "\n", + "# Mean return\n", + "axes[1].bar(x, means_return, yerr=stds_return, capsize=5)\n", + "axes[1].set_xticks(x)\n", + "axes[1].set_xticklabels(algos)\n", + "axes[1].set_title(\"Final Val Mean Return (mean ± std across seeds)\")\n", + "axes[1].set_ylabel(\"Mean return\")\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "cf535c06", + "metadata": {}, + "source": [ + "## Final checkpoint dynamics and selection audit" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "e4bde54a", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "curve_val = final_curve_df[(final_curve_df[\"split\"] == \"val\") & (final_curve_df[\"algo\"].isin([\"ppo\", \"a2c\", \"dqn\"]))]\n", + "\n", + "for algo in [\"ppo\", \"a2c\", \"dqn\"]:\n", + " sub = curve_val[curve_val[\"algo\"] == algo]\n", + " if sub.empty:\n", + " continue\n", + " fig, axes = plt.subplots(1, 2, figsize=(13, 4.2))\n", + " for seed in sorted(sub[\"seed\"].unique()):\n", + " ssub = sub[sub[\"seed\"] == seed].sort_values(\"train_steps\")\n", + " axes[0].plot(ssub[\"train_steps\"], ssub[\"asset_survival_rate\"], marker=\"o\", label=f\"seed {seed}\")\n", + " axes[1].plot(ssub[\"train_steps\"], ssub[\"mean_return\"], marker=\"o\", label=f\"seed {seed}\")\n", + "\n", + " best = ssub[ssub[\"selected_for_best\"]]\n", + " if not best.empty:\n", + " axes[0].scatter(best[\"train_steps\"], best[\"asset_survival_rate\"], s=110, marker=\"*\")\n", + " axes[1].scatter(best[\"train_steps\"], best[\"mean_return\"], s=110, marker=\"*\")\n", + "\n", + " axes[0].set_title(f\"{algo.upper()} val asset_survival_rate vs train steps\")\n", + " axes[1].set_title(f\"{algo.upper()} val mean_return vs train steps\")\n", + " for ax in axes:\n", + " ax.set_xlabel(\"Train steps\")\n", + " ax.legend()\n", + " plt.tight_layout()\n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "e61d12fa", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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algoseedrule_pick_stepselected_stepmatches_rule
0a2c11160000160000True
1a2c22140000140000True
2a2c33160000160000True
3a2c44180000180000True
4a2c55180000180000True
5dqn11180000180000True
6dqn22140000140000True
7dqn33140000140000True
8dqn44120000120000True
9dqn55160000160000True
10ppo11102400102400True
11ppo22184320184320True
12ppo33200704200704True
13ppo44200704200704True
14ppo55184320184320True
\n", + "
" + ], + "text/plain": [ + " algo seed rule_pick_step selected_step matches_rule\n", + "0 a2c 11 160000 160000 True\n", + "1 a2c 22 140000 140000 True\n", + "2 a2c 33 160000 160000 True\n", + "3 a2c 44 180000 180000 True\n", + "4 a2c 55 180000 180000 True\n", + "5 dqn 11 180000 180000 True\n", + "6 dqn 22 140000 140000 True\n", + "7 dqn 33 140000 140000 True\n", + "8 dqn 44 120000 120000 True\n", + "9 dqn 55 160000 160000 True\n", + "10 ppo 11 102400 102400 True\n", + "11 ppo 22 184320 184320 True\n", + "12 ppo 33 200704 200704 True\n", + "13 ppo 44 200704 200704 True\n", + "14 ppo 55 184320 184320 True" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "def selection_consistency(curve_df: pd.DataFrame) -> pd.DataFrame:\n", + " rows = []\n", + " for (algo, seed), sub in curve_df[curve_df[\"split\"] == \"val\"].groupby([\"algo\", \"seed\"]):\n", + " sub = sub.sort_values([\"asset_survival_rate\", \"mean_return\"], ascending=[False, False])\n", + " if sub.empty:\n", + " continue\n", + " rule_pick = int(sub.iloc[0][\"train_steps\"])\n", + " selected = sub[sub[\"selected_for_best\"]]\n", + " selected_step = int(selected.iloc[0][\"train_steps\"]) if not selected.empty else None\n", + " rows.append(\n", + " {\n", + " \"algo\": algo,\n", + " \"seed\": int(seed),\n", + " \"rule_pick_step\": rule_pick,\n", + " \"selected_step\": selected_step,\n", + " \"matches_rule\": rule_pick == selected_step,\n", + " }\n", + " )\n", + " return pd.DataFrame(rows).sort_values([\"algo\", \"seed\"])\n", + "\n", + "selection_audit_df = selection_consistency(final_curve_df)\n", + "selection_audit_df" + ] + }, + { + "cell_type": "markdown", + "id": "346359ee", + "metadata": {}, + "source": [ + "## Hyperparam Sweep Analysis" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "6d17beea", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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algoselected_configselected_asset_survivalselected_mean_returnrunner_up_margin_asset_survivalcandidate_count
0a2clr1e3_n5_ent0010.8539.3700.056
1dqnlr1e4_ef03_eps01_tu1000_buf100k0.8574.2800.008
2ppolr5e4_n512_ent0010.9013.4150.056
\n", + "
" + ], + "text/plain": [ + " algo selected_config selected_asset_survival selected_mean_return runner_up_margin_asset_survival candidate_count\n", + "0 a2c lr1e3_n5_ent001 0.85 39.370 0.05 6\n", + "1 dqn lr1e4_ef03_eps01_tu1000_buf100k 0.85 74.280 0.00 8\n", + "2 ppo lr5e4_n512_ent001 0.90 13.415 0.05 6" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pilot_winner_paths = sorted(PILOT_DIR.glob(\"*/pilot_winner.json\"))\n", + "pilot_winners = [load_json(p) for p in pilot_winner_paths]\n", + "\n", + "pilot_rows = []\n", + "for pw in pilot_winners:\n", + " algo = pw.get(\"algo\")\n", + " selected = pw.get(\"selected\", {})\n", + " cands = pw.get(\"candidates\", [])\n", + " cands_sorted = sorted(cands, key=lambda x: (x.get(\"asset_survival\", -1), x.get(\"mean_return\", -1e18)), reverse=True)\n", + " margin = None\n", + " if len(cands_sorted) >= 2:\n", + " margin = float(cands_sorted[0].get(\"asset_survival\", 0.0)) - float(cands_sorted[1].get(\"asset_survival\", 0.0))\n", + " pilot_rows.append(\n", + " {\n", + " \"algo\": algo,\n", + " \"selected_config\": selected.get(\"config\"),\n", + " \"selected_asset_survival\": selected.get(\"asset_survival\"),\n", + " \"selected_mean_return\": selected.get(\"mean_return\"),\n", + " \"runner_up_margin_asset_survival\": margin,\n", + " \"candidate_count\": len(cands),\n", + " }\n", + " )\n", + "\n", + "pilot_summary_df = pd.DataFrame(pilot_rows).sort_values(\"algo\")\n", + "pilot_summary_df" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "26fbca5b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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algoconfigasset_survivalmean_returncontainmentselected_checkpoint_step
0a2clr1e3_n5_ent0010.8539.3700.2040000
1a2clr7e4_n10_ent0010.803.8650.1540000
2a2clr7e4_n5_ent0050.80-9.7600.2020000
3a2clr7e4_n20_ent0010.80-37.8900.1020000
4a2clr3e4_n5_ent0010.80-98.5850.1020000
5a2clr7e4_n5_ent0020.7534.7100.2040000
6dqnlr1e4_ef03_eps01_tu1000_buf100k0.8574.2800.1540000
7dqnlr5e5_ef02_eps005_tu1000_buf100k0.8560.8700.1020000
8dqnlr1e4_ef02_eps005_tu500_buf100k0.8548.2300.2520000
9dqnlr3e4_ef02_eps005_tu1000_buf100k0.8547.6800.1020000
10dqnlr1e4_ef02_eps005_tu2000_buf100k0.8093.9900.2540000
11dqnlr1e4_ef02_eps005_tu1000_buf200k0.8089.8350.2040000
12dqnlr1e4_ef02_eps005_tu1000_buf50k0.8089.8350.2040000
13dqnlr1e4_ef01_eps002_tu1000_buf100k0.8063.2800.1540000
14ppolr5e4_n512_ent0010.9013.4150.1040960
15ppolr3e4_n1024_ent0010.85-12.0750.1040960
16ppolr3e4_n256_ent0010.85-109.6900.1040960
17ppolr3e4_n512_ent0050.80-36.4900.1020480
18ppolr1e4_n512_ent0010.80-37.8900.1020480
19ppolr3e4_n512_ent0020.80-37.8900.1020480
\n", + "
" + ], + "text/plain": [ + " algo config asset_survival mean_return containment selected_checkpoint_step\n", + "0 a2c lr1e3_n5_ent001 0.85 39.370 0.20 40000\n", + "1 a2c lr7e4_n10_ent001 0.80 3.865 0.15 40000\n", + "2 a2c lr7e4_n5_ent005 0.80 -9.760 0.20 20000\n", + "3 a2c lr7e4_n20_ent001 0.80 -37.890 0.10 20000\n", + "4 a2c lr3e4_n5_ent001 0.80 -98.585 0.10 20000\n", + "5 a2c lr7e4_n5_ent002 0.75 34.710 0.20 40000\n", + "6 dqn lr1e4_ef03_eps01_tu1000_buf100k 0.85 74.280 0.15 40000\n", + "7 dqn lr5e5_ef02_eps005_tu1000_buf100k 0.85 60.870 0.10 20000\n", + "8 dqn lr1e4_ef02_eps005_tu500_buf100k 0.85 48.230 0.25 20000\n", + "9 dqn lr3e4_ef02_eps005_tu1000_buf100k 0.85 47.680 0.10 20000\n", + "10 dqn lr1e4_ef02_eps005_tu2000_buf100k 0.80 93.990 0.25 40000\n", + "11 dqn lr1e4_ef02_eps005_tu1000_buf200k 0.80 89.835 0.20 40000\n", + "12 dqn lr1e4_ef02_eps005_tu1000_buf50k 0.80 89.835 0.20 40000\n", + "13 dqn lr1e4_ef01_eps002_tu1000_buf100k 0.80 63.280 0.15 40000\n", + "14 ppo lr5e4_n512_ent001 0.90 13.415 0.10 40960\n", + "15 ppo lr3e4_n1024_ent001 0.85 -12.075 0.10 40960\n", + "16 ppo lr3e4_n256_ent001 0.85 -109.690 0.10 40960\n", + "17 ppo lr3e4_n512_ent005 0.80 -36.490 0.10 20480\n", + "18 ppo lr1e4_n512_ent001 0.80 -37.890 0.10 20480\n", + "19 ppo lr3e4_n512_ent002 0.80 -37.890 0.10 20480" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pilot_candidate_rows = []\n", + "for pw in pilot_winners:\n", + " algo = pw.get(\"algo\")\n", + " for c in pw.get(\"candidates\", []):\n", + " pilot_candidate_rows.append({\"algo\": algo, **c})\n", + "\n", + "pilot_candidates_df = pd.DataFrame(pilot_candidate_rows)\n", + "pilot_candidates_df" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "2a5fbd32", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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9random0.8-44.240.00.381120.2130480.786952
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" + ], + "text/plain": [ + " algo asset_survival_rate mean_return containment_success_rate mean_burned_area_fraction mean_resource_efficiency wasted_deployment_rate\n", + "7 greedy 1.0 171.16 0.8 0.04704 1.000000 0.000000\n", + "5 dqn 1.0 54.54 0.0 0.36992 0.494737 0.505263\n", + "3 a2c 1.0 21.46 0.0 0.38240 1.000000 0.000000\n", + "1 ppo 1.0 -2.32 0.0 0.38240 0.000000 0.000000\n", + "9 random 0.8 -44.24 0.0 0.38112 0.213048 0.786952" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "smoke_eval_path = SMOKE_DIR / \"eval_smoke.json\"\n", + "smoke_rows = extract_eval_seed_json(smoke_eval_path, stage=\"smoke_eval_bundle\", seed_override=\"smoke\") if smoke_eval_path.exists() else []\n", + "smoke_df = pd.DataFrame(smoke_rows)\n", + "smoke_val = smoke_df[smoke_df[\"split\"] == \"val\"].copy() if not smoke_df.empty else pd.DataFrame()\n", + "\n", + "if not smoke_val.empty:\n", + " smoke_summary = smoke_val[\n", + " [\n", + " \"algo\",\n", + " \"asset_survival_rate\",\n", + " \"mean_return\",\n", + " \"containment_success_rate\",\n", + " \"mean_burned_area_fraction\",\n", + " \"mean_resource_efficiency\",\n", + " \"wasted_deployment_rate\",\n", + " ]\n", + " ].sort_values([\"asset_survival_rate\", \"mean_return\"], ascending=[False, False])\n", + " display(smoke_summary)\n", + "else:\n", + " smoke_val" + ] + }, + { + "cell_type": "markdown", + "id": "7f6ec362", + "metadata": {}, + "source": [ + "## Overfit Check: Check if model overfits on a single record for architectural soundness " + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "5c04d064", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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algomean_returnasset_survival_ratecontainment_success_ratemean_burned_area_fraction
0a2c133.271.000.250.11136
2dqn59.240.900.250.12496
4ppo26.160.950.200.12832
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" + ], + "text/plain": [ + " algo mean_return asset_survival_rate containment_success_rate mean_burned_area_fraction\n", + "0 a2c 133.27 1.00 0.25 0.11136\n", + "2 dqn 59.24 0.90 0.25 0.12496\n", + "4 ppo 26.16 0.95 0.20 0.12832" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "karpathy_best_paths = sorted(KARPATHY_DIR.glob(\"*/seed_*/final_eval_best.json\"))\n", + "karpathy_rows = [row for p in karpathy_best_paths for row in extract_final_eval_best(p, stage=\"karpathy\")]\n", + "karpathy_df = pd.DataFrame(karpathy_rows)\n", + "\n", + "karpathy_train = karpathy_df[(karpathy_df[\"split\"] == \"train\") & (karpathy_df[\"algo\"].isin([\"ppo\", \"a2c\", \"dqn\"]))]\n", + "karpathy_train[[\"algo\", \"mean_return\", \"asset_survival_rate\", \"containment_success_rate\", \"mean_burned_area_fraction\"]].sort_values(\"algo\")" + ] + }, + { + "cell_type": "markdown", + "id": "575dfd12", + "metadata": {}, + "source": [ + "## Check if seeds working" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "f6e53be0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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algoseedselected_train_steps_smokeval_asset_survival_rate_smokeval_mean_return_smokeselected_train_steps_reproval_asset_survival_rate_reproval_mean_return_reprostep_matchasset_survival_deltamean_return_delta
0a2c11200000.85-0.935200000.85-0.935True0.00.0
1dqn11200000.805.375200000.805.375True0.00.0
2ppo11204800.80-37.890204800.80-37.890True0.00.0
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" + ], + "text/plain": [ + " algo seed selected_train_steps_smoke val_asset_survival_rate_smoke val_mean_return_smoke selected_train_steps_repro val_asset_survival_rate_repro val_mean_return_repro step_match \\\n", + "0 a2c 11 20000 0.85 -0.935 20000 0.85 -0.935 True \n", + "1 dqn 11 20000 0.80 5.375 20000 0.80 5.375 True \n", + "2 ppo 11 20480 0.80 -37.890 20480 0.80 -37.890 True \n", + "\n", + " asset_survival_delta mean_return_delta \n", + "0 0.0 0.0 \n", + "1 0.0 0.0 \n", + "2 0.0 0.0 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "repro_best_ckpt_paths = sorted(REPRO_DIR.glob(\"smoke/*/seed_*/best_checkpoint.json\"))\n", + "repro_ckpt_df = pd.DataFrame([extract_best_checkpoint(p, stage=\"repro_smoke\") for p in repro_best_ckpt_paths]) if repro_best_ckpt_paths else pd.DataFrame()\n", + "\n", + "base_smoke_best_ckpt_paths = sorted(SMOKE_DIR.glob(\"*/seed_*/best_checkpoint.json\"))\n", + "base_smoke_ckpt_df = pd.DataFrame([extract_best_checkpoint(p, stage=\"smoke\") for p in base_smoke_best_ckpt_paths]) if base_smoke_best_ckpt_paths else pd.DataFrame()\n", + "\n", + "if not repro_ckpt_df.empty and not base_smoke_ckpt_df.empty:\n", + " compare_cols = [\"algo\", \"seed\", \"selected_train_steps\", \"val_asset_survival_rate\", \"val_mean_return\"]\n", + " merged = base_smoke_ckpt_df[compare_cols].merge(\n", + " repro_ckpt_df[compare_cols],\n", + " on=[\"algo\", \"seed\"],\n", + " suffixes=(\"_smoke\", \"_repro\"),\n", + " )\n", + " merged[\"step_match\"] = merged[\"selected_train_steps_smoke\"] == merged[\"selected_train_steps_repro\"]\n", + " merged[\"asset_survival_delta\"] = merged[\"val_asset_survival_rate_repro\"] - merged[\"val_asset_survival_rate_smoke\"]\n", + " merged[\"mean_return_delta\"] = merged[\"val_mean_return_repro\"] - merged[\"val_mean_return_smoke\"]\n", + " display(merged.sort_values([\"algo\", \"seed\"]))\n", + "else:\n", + " print(\"No repro canary files found to compare.\")" + ] + }, + { + "cell_type": "markdown", + "id": "d74cc7e0", + "metadata": {}, + "source": [ + "## Decision table and recommended next steps" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "a069760a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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algoval_mean_asset_survivalstd_across_seeds_asset_survivalval_mean_returnstd_across_seeds_returnval_mean_containment_successstd_across_seeds_containment_successval_mean_burned_area_fractionstd_across_seeds_burned_area_fractionsmoke_beats_random_asset_survivalselection_rule_consistentkarpathy_nonzero_containment
0a2c0.7060.035869.861424.47780.2080.04320.28230.0119TrueTrueTrue
2ppo0.6680.053148.739621.15710.2160.03440.28640.0193TrueTrueTrue
1dqn0.6640.037845.468012.39470.2020.03630.28930.0176TrueTrueTrue
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" + ], + "text/plain": [ + " algo val_mean_asset_survival std_across_seeds_asset_survival val_mean_return std_across_seeds_return val_mean_containment_success std_across_seeds_containment_success \\\n", + "0 a2c 0.706 0.0358 69.8614 24.4778 0.208 0.0432 \n", + "2 ppo 0.668 0.0531 48.7396 21.1571 0.216 0.0344 \n", + "1 dqn 0.664 0.0378 45.4680 12.3947 0.202 0.0363 \n", + "\n", + " val_mean_burned_area_fraction std_across_seeds_burned_area_fraction smoke_beats_random_asset_survival selection_rule_consistent karpathy_nonzero_containment \n", + "0 0.2823 0.0119 True True True \n", + "2 0.2864 0.0193 True True True \n", + "1 0.2893 0.0176 True True True " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "learned_algos = [\"ppo\", \"a2c\", \"dqn\"]\n", + "\n", + "if \"smoke_val\" not in globals():\n", + " smoke_eval_path = SMOKE_DIR / \"eval_smoke.json\"\n", + " smoke_rows = extract_eval_seed_json(smoke_eval_path, stage=\"smoke_eval_bundle\", seed_override=\"smoke\") if smoke_eval_path.exists() else []\n", + " smoke_df = pd.DataFrame(smoke_rows)\n", + " smoke_val = smoke_df[smoke_df[\"split\"] == \"val\"].copy() if not smoke_df.empty else pd.DataFrame()\n", + "\n", + "final_val_core = final_val[\n", + " [\n", + " \"algo\",\n", + " \"seed\",\n", + " \"asset_survival_rate\",\n", + " \"mean_return\",\n", + " \"containment_success_rate\",\n", + " \"mean_burned_area_fraction\",\n", + " ]\n", + "].copy()\n", + "\n", + "final_stats = final_val_core.groupby(\"algo\").agg(\n", + " val_mean_asset_survival=(\"asset_survival_rate\", \"mean\"),\n", + " std_across_seeds_asset_survival=(\"asset_survival_rate\", \"std\"),\n", + " val_mean_return=(\"mean_return\", \"mean\"),\n", + " std_across_seeds_return=(\"mean_return\", \"std\"),\n", + " val_mean_containment_success=(\"containment_success_rate\", \"mean\"),\n", + " std_across_seeds_containment_success=(\"containment_success_rate\", \"std\"),\n", + " val_mean_burned_area_fraction=(\"mean_burned_area_fraction\", \"mean\"),\n", + " std_across_seeds_burned_area_fraction=(\"mean_burned_area_fraction\", \"std\"),\n", + ").reset_index()\n", + "\n", + "smoke_val_agents = smoke_val[smoke_val[\"algo\"].isin(learned_algos)] if not smoke_val.empty else pd.DataFrame()\n", + "random_smoke = smoke_val[smoke_val[\"algo\"] == \"random\"][\"asset_survival_rate\"].mean() if not smoke_val.empty else np.nan\n", + "\n", + "final_stats[\"smoke_beats_random_asset_survival\"] = final_stats[\"algo\"].map(\n", + " {\n", + " a: (\n", + " float(smoke_val_agents[smoke_val_agents[\"algo\"] == a][\"asset_survival_rate\"].mean()) > random_smoke\n", + " if (not smoke_val_agents.empty and not np.isnan(random_smoke))\n", + " else None\n", + " )\n", + " for a in learned_algos\n", + " }\n", + ")\n", + "\n", + "sel_ok = selection_audit_df.groupby(\"algo\")[\"matches_rule\"].all().to_dict() if not selection_audit_df.empty else {}\n", + "final_stats[\"selection_rule_consistent\"] = final_stats[\"algo\"].map(lambda a: sel_ok.get(a, None))\n", + "\n", + "karpathy_ok_map = {}\n", + "if not karpathy_train.empty:\n", + " for a in learned_algos:\n", + " sub = karpathy_train[karpathy_train[\"algo\"] == a]\n", + " if sub.empty:\n", + " karpathy_ok_map[a] = None\n", + " else:\n", + " karpathy_ok_map[a] = bool(float(sub[\"containment_success_rate\"].mean()) > 0.0)\n", + "\n", + "final_stats[\"karpathy_nonzero_containment\"] = final_stats[\"algo\"].map(lambda a: karpathy_ok_map.get(a, None))\n", + "\n", + "final_stats = final_stats.sort_values(\"val_mean_asset_survival\", ascending=False).round(4)\n", + "display(final_stats)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.14.2" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/scripts/run_benchmark_eval.sh b/scripts/run_benchmark_eval.sh index 12e0e79..2fc5587 100755 --- a/scripts/run_benchmark_eval.sh +++ b/scripts/run_benchmark_eval.sh @@ -10,15 +10,17 @@ if ! command -v uv >/dev/null 2>&1; then exit 1 fi -ARTIFACT_ROOT="${ARTIFACT_ROOT:-outputs/benchmark}" +ARTIFACT_ROOT="${ARTIFACT_ROOT:-training-outputs/training_1/outputs/benchmark}" RUN_LABEL="${RUN_LABEL:-final}" EVAL_SEEDS_CSV="${EVAL_SEEDS_CSV:-11,22,33,44,55}" EVAL_EPISODES="${EVAL_EPISODES:-100}" AGENTS="${AGENTS:-ppo,a2c,dqn,greedy,random}" -TRAIN_DATASET="${TRAIN_DATASET:-data/static/scenario_parameter_records_seeded_train.json}" -VAL_DATASET="${VAL_DATASET:-data/static/scenario_parameter_records_seeded_val.json}" -HOLDOUT_DATASET="${HOLDOUT_DATASET:-data/static/scenario_parameter_records_seeded_holdout.json}" +DATA_VARIANT="${DATA_VARIANT:-v2}" +DATASET_BASE="data/static/${DATA_VARIANT}" +TRAIN_DATASET="${TRAIN_DATASET:-$DATASET_BASE/scenario_parameter_records_seeded_train.json}" +VAL_DATASET="${VAL_DATASET:-$DATASET_BASE/scenario_parameter_records_seeded_val.json}" +HOLDOUT_DATASET="${HOLDOUT_DATASET:-$DATASET_BASE/scenario_parameter_records_seeded_holdout.json}" OUTPUT_DIR="${OUTPUT_DIR:-$ARTIFACT_ROOT/$RUN_LABEL/eval}" INCLUDE_FAMILY_HOLDOUT="${INCLUDE_FAMILY_HOLDOUT:-0}" @@ -42,6 +44,10 @@ echo "eval_seeds : $EVAL_SEEDS_CSV" echo "eval_episodes_per_seed : $EVAL_EPISODES" echo "agents : $AGENTS" echo "output_dir : $OUTPUT_DIR" +echo "data_variant : $DATA_VARIANT" +echo "train_dataset : $TRAIN_DATASET" +echo "val_dataset : $VAL_DATASET" +echo "holdout_dataset : $HOLDOUT_DATASET" echo for seed in "${EVAL_SEEDS[@]}"; do diff --git a/scripts/run_benchmark_train.sh b/scripts/run_benchmark_train.sh index 8b43876..92f8c6f 100755 --- a/scripts/run_benchmark_train.sh +++ b/scripts/run_benchmark_train.sh @@ -42,9 +42,11 @@ CANONICAL_PPO_TIMESTEPS=200000 CANONICAL_A2C_TIMESTEPS=200000 CANONICAL_DQN_TIMESTEPS=200000 -TRAIN_DATASET="data/static/scenario_parameter_records_seeded_train.json" -VAL_DATASET="data/static/scenario_parameter_records_seeded_val.json" -HOLDOUT_DATASET="data/static/scenario_parameter_records_seeded_holdout.json" +DATA_VARIANT="${DATA_VARIANT:-v2}" +DATASET_BASE="data/static/${DATA_VARIANT}" +TRAIN_DATASET="${TRAIN_DATASET:-$DATASET_BASE/scenario_parameter_records_seeded_train.json}" +VAL_DATASET="${VAL_DATASET:-$DATASET_BASE/scenario_parameter_records_seeded_val.json}" +HOLDOUT_DATASET="${HOLDOUT_DATASET:-$DATASET_BASE/scenario_parameter_records_seeded_holdout.json}" for dataset in "$TRAIN_DATASET" "$VAL_DATASET" "$HOLDOUT_DATASET"; do if [[ ! -f "$dataset" ]]; then @@ -78,6 +80,10 @@ echo "repro_canary_tol : $REPRO_CANARY_TOL" echo "canonical_ckpt_int : $CANONICAL_CHECKPOINT_INTERVAL" echo "canonical_ckpt_eval: $CANONICAL_CHECKPOINT_EVAL_EPISODES" echo "canonical_final_eval: $CANONICAL_FINAL_EVAL_EPISODES" +echo "data_variant : $DATA_VARIANT" +echo "train_dataset : $TRAIN_DATASET" +echo "val_dataset : $VAL_DATASET" +echo "holdout_dataset : $HOLDOUT_DATASET" echo train_smoke() { @@ -215,23 +221,34 @@ pilot_sweep_algo() { # hyperparam tuning case "$algo" in ppo) configs=( - "lr3e4_n512_ent001 --learning-rate 3e-4 --n-steps 512 --ent-coef 0.01" - "lr1e4_n1024_ent005 --learning-rate 1e-4 --n-steps 1024 --ent-coef 0.005" - "lr5e4_n256_ent002 --learning-rate 5e-4 --n-steps 256 --ent-coef 0.02" + "lr1e4_n512_ent001 --learning-rate 1e-4 --n-steps 512 --ent-coef 0.01" + "lr5e4_n512_ent001 --learning-rate 5e-4 --n-steps 512 --ent-coef 0.01" + "lr3e4_n256_ent001 --learning-rate 3e-4 --n-steps 256 --ent-coef 0.01" + "lr3e4_n1024_ent001 --learning-rate 3e-4 --n-steps 1024 --ent-coef 0.01" + "lr3e4_n512_ent005 --learning-rate 3e-4 --n-steps 512 --ent-coef 0.005" + "lr3e4_n512_ent002 --learning-rate 3e-4 --n-steps 512 --ent-coef 0.02" ) ;; a2c) configs=( - "lr7e4_n5_ent001 --learning-rate 7e-4 --n-steps 5 --ent-coef 0.01" - "lr3e4_n20_ent005 --learning-rate 3e-4 --n-steps 20 --ent-coef 0.005" - "lr1e3_n10_ent002 --learning-rate 1e-3 --n-steps 10 --ent-coef 0.02" + "lr3e4_n5_ent001 --learning-rate 3e-4 --n-steps 5 --ent-coef 0.01" + "lr1e3_n5_ent001 --learning-rate 1e-3 --n-steps 5 --ent-coef 0.01" + "lr7e4_n10_ent001 --learning-rate 7e-4 --n-steps 10 --ent-coef 0.01" + "lr7e4_n20_ent001 --learning-rate 7e-4 --n-steps 20 --ent-coef 0.01" + "lr7e4_n5_ent005 --learning-rate 7e-4 --n-steps 5 --ent-coef 0.005" + "lr7e4_n5_ent002 --learning-rate 7e-4 --n-steps 5 --ent-coef 0.02" ) ;; dqn) configs=( - "lr1e4_ef02_eps005_tu1000_buf100k --learning-rate 1e-4 --exploration-fraction 0.2 --exploration-final-eps 0.05 --target-update-interval 1000 --replay-buffer-size 100000" - "lr3e4_ef03_eps01_tu500_buf50k --learning-rate 3e-4 --exploration-fraction 0.3 --exploration-final-eps 0.1 --target-update-interval 500 --replay-buffer-size 50000" - "lr5e5_ef01_eps002_tu2000_buf200k --learning-rate 5e-5 --exploration-fraction 0.1 --exploration-final-eps 0.02 --target-update-interval 2000 --replay-buffer-size 200000" + "lr5e5_ef02_eps005_tu1000_buf100k --learning-rate 5e-5 --exploration-fraction 0.2 --exploration-final-eps 0.05 --target-update-interval 1000 --replay-buffer-size 100000" + "lr3e4_ef02_eps005_tu1000_buf100k --learning-rate 3e-4 --exploration-fraction 0.2 --exploration-final-eps 0.05 --target-update-interval 1000 --replay-buffer-size 100000" + "lr1e4_ef01_eps002_tu1000_buf100k --learning-rate 1e-4 --exploration-fraction 0.1 --exploration-final-eps 0.02 --target-update-interval 1000 --replay-buffer-size 100000" + "lr1e4_ef03_eps01_tu1000_buf100k --learning-rate 1e-4 --exploration-fraction 0.3 --exploration-final-eps 0.1 --target-update-interval 1000 --replay-buffer-size 100000" + "lr1e4_ef02_eps005_tu500_buf100k --learning-rate 1e-4 --exploration-fraction 0.2 --exploration-final-eps 0.05 --target-update-interval 500 --replay-buffer-size 100000" + "lr1e4_ef02_eps005_tu2000_buf100k --learning-rate 1e-4 --exploration-fraction 0.2 --exploration-final-eps 0.05 --target-update-interval 2000 --replay-buffer-size 100000" + "lr1e4_ef02_eps005_tu1000_buf50k --learning-rate 1e-4 --exploration-fraction 0.2 --exploration-final-eps 0.05 --target-update-interval 1000 --replay-buffer-size 50000" + "lr1e4_ef02_eps005_tu1000_buf200k --learning-rate 1e-4 --exploration-fraction 0.2 --exploration-final-eps 0.05 --target-update-interval 1000 --replay-buffer-size 200000" ) ;; *) @@ -433,6 +450,9 @@ uv run python -m src.models.evaluate_agents \ --ppo-model "$ARTIFACT_ROOT/smoke/ppo/seed_${SMOKE_SEED}/best_model.zip" \ --a2c-model "$ARTIFACT_ROOT/smoke/a2c/seed_${SMOKE_SEED}/best_model.zip" \ --dqn-model "$ARTIFACT_ROOT/smoke/dqn/seed_${SMOKE_SEED}/best_model.zip" \ + --train-dataset "$TRAIN_DATASET" \ + --val-dataset "$VAL_DATASET" \ + --holdout-dataset "$HOLDOUT_DATASET" \ --seeds "$SMOKE_SEED" \ --episodes "$SMOKE_EVAL_EPISODES" \ --run-label smoke \ diff --git a/scripts/stages/03_smoke_eval.sh b/scripts/stages/03_smoke_eval.sh index af1827d..d2dcb1e 100755 --- a/scripts/stages/03_smoke_eval.sh +++ b/scripts/stages/03_smoke_eval.sh @@ -16,6 +16,9 @@ uv run python -m src.models.evaluate_agents \ --ppo-model "$ARTIFACT_ROOT/smoke/ppo/seed_${SMOKE_SEED}/best_model.zip" \ --a2c-model "$ARTIFACT_ROOT/smoke/a2c/seed_${SMOKE_SEED}/best_model.zip" \ --dqn-model "$ARTIFACT_ROOT/smoke/dqn/seed_${SMOKE_SEED}/best_model.zip" \ + --train-dataset "$TRAIN_DATASET" \ + --val-dataset "$VAL_DATASET" \ + --holdout-dataset "$HOLDOUT_DATASET" \ --seeds "$SMOKE_SEED" \ --episodes "$SMOKE_EVAL_EPISODES" \ --run-label smoke \ diff --git a/scripts/stages/_common.sh b/scripts/stages/_common.sh index 2bf60dc..04c2b89 100644 --- a/scripts/stages/_common.sh +++ b/scripts/stages/_common.sh @@ -34,9 +34,11 @@ init_benchmark_context() { CANONICAL_A2C_TIMESTEPS=200000 CANONICAL_DQN_TIMESTEPS=200000 - TRAIN_DATASET="data/static/scenario_parameter_records_seeded_train.json" - VAL_DATASET="data/static/scenario_parameter_records_seeded_val.json" - HOLDOUT_DATASET="data/static/scenario_parameter_records_seeded_holdout.json" + DATA_VARIANT="${DATA_VARIANT:-v2}" + DATASET_BASE="data/static/${DATA_VARIANT}" + TRAIN_DATASET="${TRAIN_DATASET:-$DATASET_BASE/scenario_parameter_records_seeded_train.json}" + VAL_DATASET="${VAL_DATASET:-$DATASET_BASE/scenario_parameter_records_seeded_val.json}" + HOLDOUT_DATASET="${HOLDOUT_DATASET:-$DATASET_BASE/scenario_parameter_records_seeded_holdout.json}" for dataset in "$TRAIN_DATASET" "$VAL_DATASET" "$HOLDOUT_DATASET"; do if [[ ! -f "$dataset" ]]; then @@ -188,23 +190,34 @@ pilot_sweep_algo() { case "$algo" in ppo) configs=( - "lr3e4_n512_ent001 --learning-rate 3e-4 --n-steps 512 --ent-coef 0.01" - "lr1e4_n1024_ent005 --learning-rate 1e-4 --n-steps 1024 --ent-coef 0.005" - "lr5e4_n256_ent002 --learning-rate 5e-4 --n-steps 256 --ent-coef 0.02" + "lr1e4_n512_ent001 --learning-rate 1e-4 --n-steps 512 --ent-coef 0.01" + "lr5e4_n512_ent001 --learning-rate 5e-4 --n-steps 512 --ent-coef 0.01" + "lr3e4_n256_ent001 --learning-rate 3e-4 --n-steps 256 --ent-coef 0.01" + "lr3e4_n1024_ent001 --learning-rate 3e-4 --n-steps 1024 --ent-coef 0.01" + "lr3e4_n512_ent005 --learning-rate 3e-4 --n-steps 512 --ent-coef 0.005" + "lr3e4_n512_ent002 --learning-rate 3e-4 --n-steps 512 --ent-coef 0.02" ) ;; a2c) configs=( - "lr7e4_n5_ent001 --learning-rate 7e-4 --n-steps 5 --ent-coef 0.01" - "lr3e4_n20_ent005 --learning-rate 3e-4 --n-steps 20 --ent-coef 0.005" - "lr1e3_n10_ent002 --learning-rate 1e-3 --n-steps 10 --ent-coef 0.02" + "lr3e4_n5_ent001 --learning-rate 3e-4 --n-steps 5 --ent-coef 0.01" + "lr1e3_n5_ent001 --learning-rate 1e-3 --n-steps 5 --ent-coef 0.01" + "lr7e4_n10_ent001 --learning-rate 7e-4 --n-steps 10 --ent-coef 0.01" + "lr7e4_n20_ent001 --learning-rate 7e-4 --n-steps 20 --ent-coef 0.01" + "lr7e4_n5_ent005 --learning-rate 7e-4 --n-steps 5 --ent-coef 0.005" + "lr7e4_n5_ent002 --learning-rate 7e-4 --n-steps 5 --ent-coef 0.02" ) ;; dqn) configs=( - "lr1e4_ef02_eps005_tu1000_buf100k --learning-rate 1e-4 --exploration-fraction 0.2 --exploration-final-eps 0.05 --target-update-interval 1000 --replay-buffer-size 100000" - "lr3e4_ef03_eps01_tu500_buf50k --learning-rate 3e-4 --exploration-fraction 0.3 --exploration-final-eps 0.1 --target-update-interval 500 --replay-buffer-size 50000" - "lr5e5_ef01_eps002_tu2000_buf200k --learning-rate 5e-5 --exploration-fraction 0.1 --exploration-final-eps 0.02 --target-update-interval 2000 --replay-buffer-size 200000" + "lr5e5_ef02_eps005_tu1000_buf100k --learning-rate 5e-5 --exploration-fraction 0.2 --exploration-final-eps 0.05 --target-update-interval 1000 --replay-buffer-size 100000" + "lr3e4_ef02_eps005_tu1000_buf100k --learning-rate 3e-4 --exploration-fraction 0.2 --exploration-final-eps 0.05 --target-update-interval 1000 --replay-buffer-size 100000" + "lr1e4_ef01_eps002_tu1000_buf100k --learning-rate 1e-4 --exploration-fraction 0.1 --exploration-final-eps 0.02 --target-update-interval 1000 --replay-buffer-size 100000" + "lr1e4_ef03_eps01_tu1000_buf100k --learning-rate 1e-4 --exploration-fraction 0.3 --exploration-final-eps 0.1 --target-update-interval 1000 --replay-buffer-size 100000" + "lr1e4_ef02_eps005_tu500_buf100k --learning-rate 1e-4 --exploration-fraction 0.2 --exploration-final-eps 0.05 --target-update-interval 500 --replay-buffer-size 100000" + "lr1e4_ef02_eps005_tu2000_buf100k --learning-rate 1e-4 --exploration-fraction 0.2 --exploration-final-eps 0.05 --target-update-interval 2000 --replay-buffer-size 100000" + "lr1e4_ef02_eps005_tu1000_buf50k --learning-rate 1e-4 --exploration-fraction 0.2 --exploration-final-eps 0.05 --target-update-interval 1000 --replay-buffer-size 50000" + "lr1e4_ef02_eps005_tu1000_buf200k --learning-rate 1e-4 --exploration-fraction 0.2 --exploration-final-eps 0.05 --target-update-interval 1000 --replay-buffer-size 200000" ) ;; *) diff --git a/src/ingestion/static_dataset.py b/src/ingestion/static_dataset.py index f49ed1d..8d8a175 100644 --- a/src/ingestion/static_dataset.py +++ b/src/ingestion/static_dataset.py @@ -2,7 +2,7 @@ static_dataset.py - Build frozen benchmark datasets from historical wildfire data. Canonical path: -1. load Alberta historical wildfire incidents from `data/static/` +1. load Alberta historical wildfire incidents from `data/static/raw/` 2. normalize them into snapshot records 3. optionally enrich with CFFDRS fire-danger fields 4. compute environment-variable records for FireEnv @@ -10,7 +10,7 @@ Run once, store the outputs, and train/evaluate only from the cached files. Example: - uv run python -m src.ingestion.static_dataset --target-count 100 + uv run python -m src.ingestion.static_dataset --target-count 100 --output-dir data/static/v1 --raw-alberta-csv data/static/raw/fp-historical-wildfire-data-2006-2025.csv """ from __future__ import annotations @@ -37,8 +37,8 @@ def tqdm(iterable, **_kwargs): logger = logging.getLogger(__name__) -DEFAULT_OUTPUT_DIR = Path("data/static") -DEFAULT_ALBERTA_CSV = DEFAULT_OUTPUT_DIR / "fp-historical-wildfire-data-2006-2025.csv" +DEFAULT_OUTPUT_DIR = Path("data/static/v1") +DEFAULT_ALBERTA_CSV = Path("data/static/raw/fp-historical-wildfire-data-2006-2025.csv") WIND_DIR_TO_DEG = { "N": 0.0, diff --git a/src/models/benchmarking.py b/src/models/benchmarking.py index 5d655db..b7e4fdd 100644 --- a/src/models/benchmarking.py +++ b/src/models/benchmarking.py @@ -25,9 +25,9 @@ load_scenario_parameter_records, ) -CANONICAL_TRAIN_DATASET = Path("data/static/scenario_parameter_records_seeded_train.json") -CANONICAL_VAL_DATASET = Path("data/static/scenario_parameter_records_seeded_val.json") -CANONICAL_HOLDOUT_DATASET = Path("data/static/scenario_parameter_records_seeded_holdout.json") +CANONICAL_TRAIN_DATASET = Path("data/static/v2/scenario_parameter_records_seeded_train.json") +CANONICAL_VAL_DATASET = Path("data/static/v2/scenario_parameter_records_seeded_val.json") +CANONICAL_HOLDOUT_DATASET = Path("data/static/v2/scenario_parameter_records_seeded_holdout.json") CANONICAL_TRAINING_SEEDS = [11, 22, 33, 44, 55] CANONICAL_CHECKPOINT_INTERVAL_STEPS = 20_000 CANONICAL_CHECKPOINT_EVAL_EPISODES = 20 diff --git a/src/models/train_rl_agent.py b/src/models/train_rl_agent.py index e3b8c41..857d6cd 100644 --- a/src/models/train_rl_agent.py +++ b/src/models/train_rl_agent.py @@ -4,6 +4,7 @@ import argparse import json +import math import sys from pathlib import Path from typing import Any @@ -153,6 +154,28 @@ def _parse_family_spec(value: str) -> tuple[str, str, str]: return (parts[0], parts[1], parts[2]) +def _assert_finite_metrics(metrics: dict[str, Any], *, context: str) -> None: + required_keys = ( + "episodes", + "mean_return", + "asset_survival_rate", + "containment_success_rate", + "mean_burned_area_fraction", + "mean_resource_efficiency", + "wasted_deployment_rate", + ) + missing = [key for key in required_keys if key not in metrics] + if missing: + raise RuntimeError(f"Malformed metrics for {context}: missing keys {missing}") + + for key, value in metrics.items(): + if isinstance(value, bool) or value is None: + continue + if isinstance(value, (int, float)): + if not math.isfinite(float(value)): + raise RuntimeError(f"Non-finite metric for {context}: {key}={value!r}") + + def main() -> None: parser = argparse.ArgumentParser(description="Train benchmark RL agents for wildfire task") parser.add_argument("--algo", type=str, default="ppo", choices=ALGO_CHOICES) @@ -201,6 +224,13 @@ def main() -> None: parser.add_argument("--no-normalized-burn-final", action="store_true") parser.add_argument("--learning-rate", type=float, default=None) + parser.add_argument( + "--lr-schedule", + type=str, + default="constant", + choices=("constant",), + help="Learning-rate schedule mode (canonical runs use constant)", + ) parser.add_argument("--n-steps", type=int, default=None) parser.add_argument("--ent-coef", type=float, default=None) parser.add_argument("--exploration-fraction", type=float, default=None) @@ -338,6 +368,7 @@ def main() -> None: "compute_normalized_burn_ratio": not args.no_normalized_burn_final, }, "hyperparameters": hyperparams, + "learning_rate_schedule": args.lr_schedule, } _write_json(run_dir / "config.json", config_payload) @@ -364,6 +395,10 @@ def main() -> None: compute_normalized_burn_ratio=False, ) split_metrics[split.name] = _single_seed_split_summary(split_eval) + _assert_finite_metrics( + split_metrics[split.name], + context=f"checkpoint split={split.name} steps={current_steps}", + ) entry = { "algo": args.algo, @@ -393,6 +428,8 @@ def main() -> None: checkpoint_entries[best_index]["selected_for_best"] = True best_entry = checkpoint_entries[best_index] + if "val" not in best_entry.get("splits", {}): + raise RuntimeError("Malformed checkpoint entry: missing val split for selection") _write_json(run_dir / "checkpoint_metrics.json", checkpoint_entries) _write_json( @@ -434,6 +471,10 @@ def main() -> None: compute_normalized_burn_ratio=not args.no_normalized_burn_final, ) final_split_metrics[split.name] = _single_seed_split_summary(final_eval) + _assert_finite_metrics( + final_split_metrics[split.name], + context=f"final split={split.name}", + ) final_eval_payload: dict[str, Any] = { "algo": args.algo, diff --git a/training_0.zip b/training_0.zip deleted file mode 100644 index aa0957e..0000000 Binary files a/training_0.zip and /dev/null differ