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1543d80d0ebfb3f65edec772139f21a12bc19115 Mon Sep 17 00:00:00 2001 From: AzulGarza Date: Mon, 16 Mar 2026 19:35:16 -0700 Subject: [PATCH 03/23] feat: add init version chronos finetunning --- timecopilot/models/foundation/chronos.py | 88 +++++++++++++++++++++++- 1 file changed, 85 insertions(+), 3 deletions(-) diff --git a/timecopilot/models/foundation/chronos.py b/timecopilot/models/foundation/chronos.py index d414a9e..bd91466 100644 --- a/timecopilot/models/foundation/chronos.py +++ b/timecopilot/models/foundation/chronos.py @@ -1,4 +1,6 @@ from contextlib import contextmanager +from dataclasses import dataclass +from typing import Any, Literal import numpy as np import pandas as pd @@ -15,6 +17,28 @@ from .utils import TimeSeriesDataset +@dataclass +class ChronosFinetuningConfig: + """Configuration for finetuning a Chronos pipeline before forecasting. + + Parameters are passed through to the chronos pipeline's ``fit()`` method, + with ``finetune_steps`` mapped to the library's ``num_steps`` argument. + The forecast horizon ``h`` passed to ``forecast(df, h, ...)`` is used as + ``prediction_length`` for ``fit()``. The class-level ``batch_size`` on + ``Chronos`` is for inference only; use this config's ``batch_size`` to + control the training batch size when finetuning (optional). + + For parameter details and examples, see the chronos-forecasting Chronos-2 + quickstart: https://github.com/amazon-science/chronos-forecasting/blob/main/notebooks/chronos-2-quickstart.ipynb + """ + + finetune_steps: int = 1000 + learning_rate: float | None = None + batch_size: int | None = None + finetune_mode: Literal["full", "lora"] | None = None + lora_config: Any = None + + class Chronos(Forecaster): """ Chronos models are large pre-trained models for time series forecasting, @@ -29,6 +53,7 @@ def __init__( batch_size: int = 16, alias: str = "Chronos", dtype: torch.dtype = torch.float32, + finetuning_config: ChronosFinetuningConfig | None = None, ): # ruff: noqa: E501 """ @@ -40,16 +65,23 @@ def __init__( the full list of available models at [Hugging Face](https://huggingface.co/collections/ amazon/chronos-models-65f1791d630a8d57cb718444) - batch_size (int, optional): Batch size to use for inference. + batch_size (int, optional): Batch size to use for inference only. Larger models may require smaller batch sizes due to GPU memory constraints. Defaults to 16. For Chronos-Bolt models, - higher batch sizes (e.g., 256) are possible. + higher batch sizes (e.g., 256) are possible. When finetuning, + use ``finetuning_config.batch_size`` to set the training + batch size (optional; library default when not set). alias (str, optional): Name to use for the model in output DataFrames and logs. Defaults to "Chronos". dtype (torch.dtype, optional): Data type for model weights and input tensors. Defaults to torch.float32 for numerical precision. Use torch.bfloat16 for reduced memory usage on supported hardware. + finetuning_config (ChronosFinetuningConfig | None, optional): If + provided, the model is finetuned on the forecast context + data before predicting. See ChronosFinetuningConfig and the + [Chronos-2 quickstart](https://github.com/amazon-science/chronos-forecasting/blob/main/notebooks/chronos-2-quickstart.ipynb) + for parameter details. Notes: **Available models:** @@ -57,6 +89,8 @@ def __init__( | Model ID | Parameters | | ---------------------------------------------------------------------- | ---------- | | [`amazon/chronos-2`](https://huggingface.co/amazon/chronos-2) | 120M | + | [`autogluon/chronos-2-synth`](https://huggingface.co/autogluon/chronos-2-synth) | 120M | + | [`autogluon/chronos-2-small`](https://huggingface.co/autogluon/chronos-2-small) | 28M | | [`amazon/chronos-bolt-tiny`](https://huggingface.co/amazon/chronos-bolt-tiny) | 9M | | [`amazon/chronos-bolt-mini`](https://huggingface.co/amazon/chronos-bolt-mini) | 21M | | [`amazon/chronos-bolt-small`](https://huggingface.co/amazon/chronos-bolt-small) | 48M | @@ -90,6 +124,50 @@ def __init__( self.batch_size = batch_size self.alias = alias self.dtype = dtype + self.finetuning_config = finetuning_config + + @staticmethod + def _build_fit_inputs_from_df(df: pd.DataFrame) -> list[dict[str, Any]]: + """Build list of fit inputs from a DataFrame (unique_id, ds, y).""" + df_sorted = df.sort_values(by=["unique_id", "ds"]) + return [ + {"target": group["y"].values} + for _, group in df_sorted.groupby("unique_id") + ] + + def _maybe_finetune( + self, + model: BaseChronosPipeline, + df: pd.DataFrame, + h: int, + ) -> BaseChronosPipeline: + """If finetuning_config is set, finetune the model on df and return it.""" + if self.finetuning_config is None: + return model + if not hasattr(model, "fit"): + raise ValueError( + f"Finetuning is not supported for model {self.repo_id}; " + "the loaded pipeline has no fit method." + ) + train_inputs = self._build_fit_inputs_from_df(df) + fit_kwargs: dict[str, Any] = { + "inputs": train_inputs, + "prediction_length": h, + "num_steps": self.finetuning_config.finetune_steps, + } + if self.finetuning_config.learning_rate is not None: + fit_kwargs["learning_rate"] = ( + self.finetuning_config.learning_rate + ) + if self.finetuning_config.batch_size is not None: + fit_kwargs["batch_size"] = self.finetuning_config.batch_size + if self.finetuning_config.finetune_mode is not None: + fit_kwargs["finetune_mode"] = ( + self.finetuning_config.finetune_mode + ) + if self.finetuning_config.lora_config is not None: + fit_kwargs["lora_config"] = self.finetuning_config.lora_config + return model.fit(**fit_kwargs) @contextmanager def _get_model(self) -> BaseChronosPipeline: @@ -97,7 +175,7 @@ def _get_model(self) -> BaseChronosPipeline: model = BaseChronosPipeline.from_pretrained( self.repo_id, device_map=device_map, - torch_dtype=self.dtype, + dtype=self.dtype, ) try: yield model @@ -221,6 +299,9 @@ def forecast( For multi-series data, the output retains the same unique identifiers as the input DataFrame. + + When ``finetuning_config`` was set at construction, the model is + finetuned on ``df`` before predicting. """ freq = self._maybe_infer_freq(df, freq) qc = QuantileConverter(level=level, quantiles=quantiles) @@ -229,6 +310,7 @@ def forecast( ) fcst_df = dataset.make_future_dataframe(h=h, freq=freq) with self._get_model() as model: + model = self._maybe_finetune(model, df, h) fcsts_mean_np, fcsts_quantiles_np = self._predict( model, dataset, From d30b81a4ee255ed1a7733dc37beeb1464836aa89 Mon Sep 17 00:00:00 2001 From: AzulGarza Date: Mon, 16 Mar 2026 19:37:40 -0700 Subject: [PATCH 04/23] docs: add finetunning config to docs --- docs/api/models/foundation/models.md | 1 + 1 file changed, 1 insertion(+) diff --git a/docs/api/models/foundation/models.md b/docs/api/models/foundation/models.md index 10218f0..74478e6 100644 --- a/docs/api/models/foundation/models.md +++ b/docs/api/models/foundation/models.md @@ -4,6 +4,7 @@ options: members: - Chronos + - ChronosFinetuningConfig ::: timecopilot.models.foundation.flowstate options: From 05b27db85c2968bbfd545055f85a4584e1ac4aba Mon Sep 17 00:00:00 2001 From: AzulGarza Date: Mon, 16 Mar 2026 19:54:50 -0700 Subject: [PATCH 05/23] feat: add better doc chronos finetunning --- timecopilot/models/foundation/chronos.py | 31 +++++++++++++++++------- 1 file changed, 22 insertions(+), 9 deletions(-) diff --git a/timecopilot/models/foundation/chronos.py b/timecopilot/models/foundation/chronos.py index bd91466..f6f7e76 100644 --- a/timecopilot/models/foundation/chronos.py +++ b/timecopilot/models/foundation/chronos.py @@ -21,15 +21,28 @@ class ChronosFinetuningConfig: """Configuration for finetuning a Chronos pipeline before forecasting. - Parameters are passed through to the chronos pipeline's ``fit()`` method, - with ``finetune_steps`` mapped to the library's ``num_steps`` argument. - The forecast horizon ``h`` passed to ``forecast(df, h, ...)`` is used as - ``prediction_length`` for ``fit()``. The class-level ``batch_size`` on - ``Chronos`` is for inference only; use this config's ``batch_size`` to - control the training batch size when finetuning (optional). - - For parameter details and examples, see the chronos-forecasting Chronos-2 - quickstart: https://github.com/amazon-science/chronos-forecasting/blob/main/notebooks/chronos-2-quickstart.ipynb + Pass an instance to the ``Chronos`` constructor; when you call + ``forecast()``, the model is finetuned on the context data before + predicting. The forecast horizon ``h`` from ``forecast(df, h, ...)`` is + used as ``prediction_length`` for the internal ``fit()``. Parameters are + passed through to the chronos pipeline's ``fit()``, with ``finetune_steps`` + mapped to the library's ``num_steps``. + + Attributes: + finetune_steps: Number of training steps. Passed to the pipeline as + ``num_steps``. Defaults to 1000. + learning_rate: Optimizer learning rate. Defaults to None (chronos + uses 1e-6; for LoRA, 1e-5 is recommended). + batch_size: Training batch size for finetuning. Defaults to None + (chronos uses 256). The ``batch_size`` on ``Chronos`` is for + inference only. + finetune_mode: ``"full"`` (full parameter update) or ``"lora"`` + (low-rank adaptation). Defaults to None (chronos uses ``"full"``). + lora_config: LoRA configuration when ``finetune_mode="lora"``. Defaults + to None. See the Chronos-2 quickstart for details. + + Notes: + - Based on the [Chronos-2 quickstart](https://github.com/amazon-science/chronos-forecasting/blob/main/notebooks/chronos-2-quickstart.ipynb). """ finetune_steps: int = 1000 From bd29dc8f19d296b4f55a4accf6550983eb80c186 Mon Sep 17 00:00:00 2001 From: AzulGarza Date: Mon, 16 Mar 2026 20:35:44 -0700 Subject: [PATCH 06/23] tests: chronos save model functionality --- tests/models/foundation/test_chronos.py | 37 +++++++++++++++++++++++++ 1 file changed, 37 insertions(+) diff --git a/tests/models/foundation/test_chronos.py b/tests/models/foundation/test_chronos.py index aa02afc..922d130 100644 --- a/tests/models/foundation/test_chronos.py +++ b/tests/models/foundation/test_chronos.py @@ -73,3 +73,40 @@ def _from_df_side_effect(*args, **kwargs): with pytest.raises(RuntimeError, match="stop after dtype check"): model.forecast(df=df, h=2) + + +def test_chronos_finetuning_save_and_reuse(tmp_path): + """Finetune with save_path, run cross-validation, then forecast using the saved path.""" + from timecopilot.models.foundation.chronos import Chronos, ChronosFinetuningConfig + + from ..test_models import generate_series + + save_path = tmp_path / "chronos2-finetuned" + config = ChronosFinetuningConfig( + finetune_steps=2, + save_path=save_path, + ) + model = Chronos( + repo_id="autogluon/chronos-2-small", + finetuning_config=config, + batch_size=2, + ) + n_series = 2 + df = generate_series(n_series, freq="MS") + + cv_df = model.cross_validation(df, h=2, n_windows=1, freq="MS") + assert not cv_df.empty + assert "Chronos" in cv_df.columns + + assert save_path.is_dir(), f"Finetuned model should be saved to {save_path}" + assert (save_path / "config.json").exists(), "Expected config.json in saved checkpoint" + + model_reuse = Chronos( + repo_id=str(save_path), + finetuning_config=None, + batch_size=2, + ) + fcst = model_reuse.forecast(df, h=2, freq="MS") + assert not fcst.empty + assert "Chronos" in fcst.columns + assert len(fcst) == n_series * 2 # h=2 per series From d187e43e7da7f1084fb7e3a1612cab4cdbd633a4 Mon Sep 17 00:00:00 2001 From: AzulGarza Date: Mon, 16 Mar 2026 20:36:16 -0700 Subject: [PATCH 07/23] feat: add save path model functionality --- timecopilot/models/foundation/chronos.py | 24 ++++++++++++++++++++---- 1 file changed, 20 insertions(+), 4 deletions(-) diff --git a/timecopilot/models/foundation/chronos.py b/timecopilot/models/foundation/chronos.py index f6f7e76..8d9c766 100644 --- a/timecopilot/models/foundation/chronos.py +++ b/timecopilot/models/foundation/chronos.py @@ -1,5 +1,6 @@ from contextlib import contextmanager from dataclasses import dataclass +from pathlib import Path from typing import Any, Literal import numpy as np @@ -40,7 +41,11 @@ class ChronosFinetuningConfig: (low-rank adaptation). Defaults to None (chronos uses ``"full"``). lora_config: LoRA configuration when ``finetune_mode="lora"``. Defaults to None. See the Chronos-2 quickstart for details. - + save_path: If set, the finetuned model is saved to this directory (path + or str). Use this same path as ``repo_id`` when creating + ``Chronos(repo_id=save_path, finetuning_config=None)`` for + subsequent forecasting without finetuning. + Notes: - Based on the [Chronos-2 quickstart](https://github.com/amazon-science/chronos-forecasting/blob/main/notebooks/chronos-2-quickstart.ipynb). """ @@ -50,6 +55,7 @@ class ChronosFinetuningConfig: batch_size: int | None = None finetune_mode: Literal["full", "lora"] | None = None lora_config: Any = None + save_path: str | Path | None = None class Chronos(Forecaster): @@ -74,8 +80,11 @@ def __init__( repo_id (str, optional): The Hugging Face Hub model ID or local path to load the Chronos model from. Examples include "amazon/chronos-t5-tiny", "amazon/chronos-t5-large", or a - local directory. Defaults to "amazon/chronos-t5-large". See - the full list of available models at + local directory. You can also pass a path where a finetuned + model was saved (see ``finetuning_config.save_path``); use + that path as ``repo_id`` with ``finetuning_config=None`` to + reuse the saved model. Defaults to "amazon/chronos-t5-large". + See the full list of available models at [Hugging Face](https://huggingface.co/collections/ amazon/chronos-models-65f1791d630a8d57cb718444) batch_size (int, optional): Batch size to use for inference only. @@ -92,7 +101,10 @@ def __init__( supported hardware. finetuning_config (ChronosFinetuningConfig | None, optional): If provided, the model is finetuned on the forecast context - data before predicting. See ChronosFinetuningConfig and the + data before predicting. Set ``save_path`` on the config to + save the finetuned model; then use that path as ``repo_id`` + with ``finetuning_config=None`` for later forecasts. See + ChronosFinetuningConfig and the [Chronos-2 quickstart](https://github.com/amazon-science/chronos-forecasting/blob/main/notebooks/chronos-2-quickstart.ipynb) for parameter details. @@ -180,6 +192,10 @@ def _maybe_finetune( ) if self.finetuning_config.lora_config is not None: fit_kwargs["lora_config"] = self.finetuning_config.lora_config + if self.finetuning_config.save_path is not None: + sp = Path(self.finetuning_config.save_path) + fit_kwargs["output_dir"] = str(sp.parent) + fit_kwargs["finetuned_ckpt_name"] = sp.name return model.fit(**fit_kwargs) @contextmanager From 490d1903a1e6c23b0cdcbfb387f43365553b82af Mon Sep 17 00:00:00 2001 From: AzulGarza Date: Mon, 16 Mar 2026 20:36:43 -0700 Subject: [PATCH 08/23] tests: add finetunning models --- tests/models/conftest.py | 21 +++++++++++++++++++-- 1 file changed, 19 insertions(+), 2 deletions(-) diff --git a/tests/models/conftest.py b/tests/models/conftest.py index ab97e62..16fc5ca 100644 --- a/tests/models/conftest.py +++ b/tests/models/conftest.py @@ -2,8 +2,9 @@ import pytest +from peft import LoraConfig from timecopilot.models.ensembles.median import MedianEnsemble -from timecopilot.models.foundation.chronos import Chronos +from timecopilot.models.foundation.chronos import Chronos, ChronosFinetuningConfig from timecopilot.models.foundation.flowstate import FlowState from timecopilot.models.foundation.moirai import Moirai from timecopilot.models.foundation.patchtst_fm import PatchTSTFM @@ -65,6 +66,22 @@ def disable_mps_session(monkeypatch): Chronos(repo_id="amazon/chronos-bolt-tiny", alias="Chronos-Bolt"), Chronos(repo_id="amazon/chronos-2", alias="Chronos-2"), Chronos(repo_id="amazon/chronos-2", alias="Chronos-2", batch_size=2), + Chronos( + repo_id="autogluon/chronos-2-small", + alias="chronos2-finetuned", + finetuning_config=ChronosFinetuningConfig(finetune_steps=1), + batch_size=2, + ), + Chronos( + repo_id="amazon/chronos-2", + alias="chronos2-finetuned-lora", + finetuning_config=ChronosFinetuningConfig( + finetune_steps=3, + finetune_mode="lora", + learning_rate=1e-5, + ), + batch_size=2, + ), FlowState(repo_id="ibm-research/flowstate"), FlowState( repo_id="ibm-granite/granite-timeseries-flowstate-r1", @@ -112,4 +129,4 @@ def disable_mps_session(monkeypatch): from timecopilot.models.foundation.tabpfn import TabPFN models.append(TabPFN(mode=TabPFNMode.MOCK)) - models.append(Sundial(context_length=256, num_samples=10)) + models.append(Sundial(context_length=256, num_samples=10)) \ No newline at end of file From 74e5c33d79e90368817e2c1ef4a1655d999bb1d7 Mon Sep 17 00:00:00 2001 From: AzulGarza Date: Mon, 16 Mar 2026 20:53:23 -0700 Subject: [PATCH 09/23] fix: handle lora finetunning --- timecopilot/models/foundation/chronos.py | 20 +++++++++++++++----- 1 file changed, 15 insertions(+), 5 deletions(-) diff --git a/timecopilot/models/foundation/chronos.py b/timecopilot/models/foundation/chronos.py index 8d9c766..6296c5b 100644 --- a/timecopilot/models/foundation/chronos.py +++ b/timecopilot/models/foundation/chronos.py @@ -201,11 +201,21 @@ def _maybe_finetune( @contextmanager def _get_model(self) -> BaseChronosPipeline: device_map = "cuda:0" if torch.cuda.is_available() else "cpu" - model = BaseChronosPipeline.from_pretrained( - self.repo_id, - device_map=device_map, - dtype=self.dtype, - ) + repo_path = Path(self.repo_id) + # LoRA checkpoints save adapter_config.json; BaseChronosPipeline.from_pretrained + # uses AutoConfig and fails. Chronos2Pipeline.from_pretrained handles LoRA via PEFT. + if repo_path.is_dir() and (repo_path / "adapter_config.json").exists(): + model = Chronos2Pipeline.from_pretrained( + self.repo_id, + device_map=device_map, + torch_dtype=self.dtype, + ) + else: + model = BaseChronosPipeline.from_pretrained( + self.repo_id, + device_map=device_map, + dtype=self.dtype, + ) try: yield model finally: From 984e7f68b4a477629dfb0e1eb27ac565551b5f67 Mon Sep 17 00:00:00 2001 From: AzulGarza Date: Mon, 16 Mar 2026 20:54:17 -0700 Subject: [PATCH 10/23] docs: add finetunning example --- docs/examples/finetuning.ipynb | 860 +++++++++++++++++++++++++++++++++ mkdocs.yml | 1 + tests/models/conftest.py | 3 +- 3 files changed, 862 insertions(+), 2 deletions(-) create mode 100644 docs/examples/finetuning.ipynb diff --git a/docs/examples/finetuning.ipynb b/docs/examples/finetuning.ipynb new file mode 100644 index 0000000..639e7d9 --- /dev/null +++ b/docs/examples/finetuning.ipynb @@ -0,0 +1,860 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "7b3f51a7", + "metadata": {}, + "source": [ + "# Finetuning Foundation Models\n", + "\n", + "**Finetuning** adapts a pre-trained model to your data before forecasting: the model is trained for a few steps on your time series, which can improve accuracy when your series have a different distribution or scale than the data the model was pre-trained on.\n", + "\n", + "Today finetuning in TimeCopilot is available for **Chronos 2** only; we will add support for more foundation models in future releases. The API reference for the Chronos finetuning configuration is [ChronosFinetuningConfig](https://timecopilot.dev/api/models/foundation/models/#timecopilot.models.foundation.chronos.ChronosFinetuningConfig)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Import libraries" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "bef2c0fc", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " See https://github.com/google-research/timesfm/blob/master/README.md for updated APIs.\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "from functools import partial\n", + "\n", + "from timecopilot import TimeCopilotForecaster\n", + "from timecopilot.models.foundation.chronos import Chronos, ChronosFinetuningConfig\n", + "from timecopilot.models.stats import AutoARIMA\n", + "from utilsforecast.evaluation import evaluate\n", + "from utilsforecast.losses import mase, scaled_crps\n" + ] + }, + { + "cell_type": "markdown", + "id": "2b59c425", + "metadata": {}, + "source": [ + "## Load the dataset\n", + "\n", + "We use the same events pageviews dataset as in the [Chronos family](chronos-family.ipynb) example." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "51441791", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " unique_id ds y\n", + "0 Oktoberfest 2020-01-31 25376\n", + "1 Oktoberfest 2020-02-29 28470\n", + "2 Oktoberfest 2020-03-31 23816\n", + "3 Oktoberfest 2020-04-30 46186\n", + "4 Oktoberfest 2020-05-31 31213" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = pd.read_csv(\n", + " \"https://timecopilot.s3.amazonaws.com/public/data/events_pageviews.csv\",\n", + " parse_dates=[\"ds\"],\n", + ")\n", + "df.head()\n" + ] + }, + { + "cell_type": "markdown", + "id": "f7714bd8", + "metadata": {}, + "source": [ + "## Chronos 2\n", + "\n", + "Chronos 2 supports finetuning via **`ChronosFinetuningConfig`** (see the [API reference](https://timecopilot.dev/api/models/foundation/models/#timecopilot.models.foundation.chronos.ChronosFinetuningConfig)). You pass an instance to the `Chronos` constructor; when you call `forecast()`, the model is finetuned on the context data before predicting.\n", + "\n", + "**Supported parameters:**\n", + "\n", + "| Parameter | Type | Default | Description |\n", + "|-----------|------|---------|-------------|\n", + "| `finetune_steps` | int | 1000 | Number of training steps. Maps to the chronos pipeline's `num_steps`. |\n", + "| `learning_rate` | float or None | None → 1e-6 | Optimizer learning rate (chronos uses 1e-6; for LoRA, 1e-5 is recommended). |\n", + "| `batch_size` | int or None | None → 256 | Training batch size for finetuning. The `batch_size` on `Chronos` is for inference only. |\n", + "| `finetune_mode` | \"full\" or \"lora\" or None | None → \"full\" | Full parameter update vs. LoRA. |\n", + "| `lora_config` | object or None | None | LoRA configuration when `finetune_mode=\"lora\"`; see the [Chronos-2 quickstart](https://github.com/amazon-science/chronos-forecasting/blob/main/notebooks/chronos-2-quickstart.ipynb) for details. |\n", + "| `save_path` | str or Path or None | None | If set, the finetuned model is saved to this directory. Use the same path as `repo_id` with `finetuning_config=None` to load and reuse it for later forecasts. |\n", + "\n", + "The forecast horizon `h` you pass to `forecast(df, h, ...)` is used as `prediction_length` for the internal `fit()` call." + ] + }, + { + "cell_type": "markdown", + "id": "62a49265", + "metadata": {}, + "source": [ + "### Compare Chronos 2 with and without finetuning" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "6984cefa", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 1/1 [00:00<00:00, 3.85it/s]\n", + "1it [00:01, 1.05s/it]\n", + "0it [00:00, ?it/s]Could not estimate the number of tokens of the input, floating-point operations will not be computed\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + "
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" + ], + "text/plain": [ + " unique_id ds cutoff y chronos2 chronos2-lo-20 \\\n", + "0 Black Friday 2024-09-30 2024-08-31 2607 1927.414551 1823.906982 \n", + "1 Black Friday 2024-10-31 2024-08-31 2470 2540.248047 2212.041016 \n", + "2 Black Friday 2024-11-30 2024-08-31 11058 20014.011719 17925.074219 \n", + "3 Black Friday 2024-12-31 2024-08-31 3548 4806.964844 3921.377930 \n", + "4 Black Friday 2025-01-31 2024-08-31 1724 1883.054688 1773.106445 \n", + "\n", + " chronos2-hi-20 chronos2-lo-40 chronos2-hi-40 chronos2-lo-60 ... \\\n", + "0 2055.461182 1738.863525 2191.819824 1644.456543 ... \n", + "1 3162.801025 2054.913330 4077.916016 1920.063232 ... \n", + "2 22388.916016 15283.841797 24934.029297 11903.583008 ... \n", + "3 6003.643555 3189.047119 7413.359375 2595.310059 ... \n", + "4 2013.665039 1664.928467 2160.377197 1545.758057 ... \n", + "\n", + " chronos-2-finetuned-lora-hi-80 AutoARIMA AutoARIMA-lo-80 \\\n", + "0 3466.595947 2345.021484 -3894.636719 \n", + "1 8912.384766 3356.209473 -3393.586182 \n", + "2 29221.998047 20597.349609 13847.554688 \n", + "3 16506.568359 4478.090332 -2271.705078 \n", + "4 5551.708984 2228.328369 -4521.467285 \n", + "\n", + " AutoARIMA-lo-60 AutoARIMA-lo-40 AutoARIMA-lo-20 AutoARIMA-hi-20 \\\n", + "0 -1752.690186 -208.196136 1111.517090 3578.525635 \n", + "1 -1076.520020 594.247681 2021.857178 4690.561523 \n", + "2 16164.620117 17835.388672 19262.998047 21931.701172 \n", + "3 45.361053 1716.128784 3143.738281 5812.442871 \n", + "4 -2204.401123 -533.633362 893.976074 3562.680420 \n", + "\n", + " AutoARIMA-hi-40 AutoARIMA-hi-60 AutoARIMA-hi-80 \n", + "0 4898.238770 6442.732910 8584.679688 \n", + "1 6118.170898 7788.938965 10106.004883 \n", + "2 23359.312500 25030.080078 27347.144531 \n", + "3 7240.052246 8910.820312 11227.885742 \n", + "4 4990.290039 6661.057617 8978.124023 \n", + "\n", + "[5 rows x 40 columns]" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Chronos 2 without finetuning\n", + "chronos2 = Chronos(repo_id=\"autogluon/chronos-2-small\", alias=\"chronos2\")\n", + "# Chronos 2 with finetuning (fewer steps for a quicker example)\n", + "chronos2_finetuned = Chronos(\n", + " repo_id=\"autogluon/chronos-2-small\",\n", + " alias=\"chronos-2-finetuned\",\n", + " finetuning_config=ChronosFinetuningConfig(\n", + " finetune_steps=10, \n", + " save_path=\"./chronos-2-finetuned-path/\", # optional, save the finetuned model\n", + " ),\n", + ")\n", + "# Chronos 2 with LoRA finetuning\n", + "chronos2_lora = Chronos(\n", + " repo_id=\"autogluon/chronos-2-small\",\n", + " alias=\"chronos-2-finetuned-lora\",\n", + " finetuning_config=ChronosFinetuningConfig(\n", + " finetune_mode=\"lora\",\n", + " finetune_steps=10,\n", + " learning_rate=1e-5,\n", + " save_path=\"./chronos-2-finetuned-lora-path/\", # optional, save the finetuned model\n", + " ),\n", + ")\n", + "auto_arima = AutoARIMA()\n", + "models = [chronos2, chronos2_finetuned, chronos2_lora, auto_arima]\n", + "tcf = TimeCopilotForecaster(models=models)\n", + "level = [20, 40, 60, 80]\n", + "cv_df = tcf.cross_validation(df=df, h=12, level=level)\n", + "cv_df.head()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "3d0cfcbe", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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metricmasescaled_crps
chronos-2-finetuned-lora1.5090.364
chronos-2-finetuned1.6810.389
chronos21.7050.412
AutoARIMA1.8970.565
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" + ], + "text/plain": [ + "metric mase scaled_crps\n", + "chronos-2-finetuned-lora 1.509 0.364\n", + "chronos-2-finetuned 1.681 0.389\n", + "chronos2 1.705 0.412\n", + "AutoARIMA 1.897 0.565" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "eval_compare = evaluate(\n", + " cv_df.drop(columns=[\"cutoff\"]),\n", + " train_df=df.query(\"ds <= '2024-08-31'\"),\n", + " metrics=[partial(mase, seasonality=12), scaled_crps],\n", + " level=level,\n", + ")\n", + "eval_compare.groupby(\"metric\").mean(numeric_only=True).T.sort_values(by=\"scaled_crps\").round(3)\n" + ] + }, + { + "cell_type": "markdown", + "id": "0fd97b62", + "metadata": {}, + "source": [ + "## Using the best model for forecasts\n", + "\n", + "The evaluation showed that **Chronos 2 finetuned with LoRA** had the best (lowest) scaled CRPS among the compared models. Because we saved it with `save_path=\"./chronos-2-finetuned-lora/\"`, we can load it and use it for new forecasts without finetuning again." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "63615763", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "agent-quickstart.ipynb\n", + "anomaly-detection-forecaster-quickstart.ipynb\n", + "aws-bedrock.ipynb\n", + "\u001b[1m\u001b[36mchronos-2-finetuned\u001b[m\u001b[m\n", + "\u001b[1m\u001b[36mchronos-2-finetuned-lora\u001b[m\u001b[m\n", + "\u001b[1m\u001b[36mchronos-2-finetuned-lora-path\u001b[m\u001b[m\n", + "\u001b[1m\u001b[36mchronos-2-finetuned-path\u001b[m\u001b[m\n", + "chronos-family.ipynb\n", + "chronos2_finetuning_example.png\n", + "cryptocurrency-quickstart.ipynb\n", + "finetuning.ipynb\n", + "forecaster-quickstart.ipynb\n", + "gift-eval.ipynb\n", + "google-llms.ipynb\n", + "llm-providers.ipynb\n", + "patchtst-fm.ipynb\n", + "sktime.ipynb\n", + "ts-foundation-models-comparison-quickstart.ipynb\n" + ] + } + ], + "source": [ + "import os\n", + "os.getcwd()\n", + "!ls" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "593d1da4", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 3/3 [00:00<00:00, 18.56it/s]\n" + ] + }, + { + "data": { + "text/html": [ + "
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unique_iddschronos2-bestchronos2-best-lo-80chronos2-best-hi-80chronos2-best-lo-90chronos2-best-hi-90
0Black Friday2025-09-011747.3544921240.7490232497.8093261049.9294433276.111572
1Black Friday2025-10-012236.3276371297.5498056467.4335941051.3535168020.196289
2Black Friday2025-11-0112611.6572275214.40332022868.6582033748.06835927442.648438
3Black Friday2025-12-013226.3132321481.2216808127.2998051229.19238310268.513672
4Black Friday2026-01-011604.3159181096.4370122360.342773894.0717773173.337891
\n", + "
" + ], + "text/plain": [ + " unique_id ds chronos2-best chronos2-best-lo-80 \\\n", + "0 Black Friday 2025-09-01 1747.354492 1240.749023 \n", + "1 Black Friday 2025-10-01 2236.327637 1297.549805 \n", + "2 Black Friday 2025-11-01 12611.657227 5214.403320 \n", + "3 Black Friday 2025-12-01 3226.313232 1481.221680 \n", + "4 Black Friday 2026-01-01 1604.315918 1096.437012 \n", + "\n", + " chronos2-best-hi-80 chronos2-best-lo-90 chronos2-best-hi-90 \n", + "0 2497.809326 1049.929443 3276.111572 \n", + "1 6467.433594 1051.353516 8020.196289 \n", + "2 22868.658203 3748.068359 27442.648438 \n", + "3 8127.299805 1229.192383 10268.513672 \n", + "4 2360.342773 894.071777 3173.337891 " + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "best_model_path = \"chronos-2-finetuned-lora-path\"\n", + "best_model = Chronos(\n", + " repo_id=best_model_path,\n", + " finetuning_config=None,\n", + " batch_size=2,\n", + " alias=\"chronos2-best\",\n", + ")\n", + "fcst_best = best_model.forecast(df, h=12, freq=\"MS\", level=[80, 90])\n", + "fcst_best.head()" + ] + }, + { + "cell_type": "markdown", + "id": "e591309c", + "metadata": {}, + "source": [ + "The forecasts above come from the best-performing model in our comparison (Chronos 2 with LoRA finetuning), loaded from the saved checkpoint. You can reuse this path in other notebooks or scripts for inference without running finetuning again." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "ad913bfb", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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Em16U//zLm0HfFADoLXYS2gIAAAAUnYYlJs35d9C3BACgKHYCAJCHpes75bkP18rd85eYFzkAECQtciYodgIAAAAloYkqSe8tACB4FDsBAMhDZ0/SKzCI9CR5eQMgWPpYpGXOBLVOAAAAoCTn38mUiOOwHgAA5YBiJwAAwyh2qu4eXtwACJbOCrILLgjOFVdcIbvvvruMGzdOJk+eLMccc4wsXLhwyO+7++67ZZtttpHq6mrZYYcd5KGHHirJ7QUAAMAwz7+DviEAAINiJwAAeejyFTu74ry8ARAss6tcUpIgSCtQTz31lJx99tny4osvyqOPPirxeFwOO+ww6ejoGPB7nn/+eTn++OPltNNOk9dee80USPXy9ttvl/S2AwAAINdkFZ3bGfQtAQCoKL8GAABy19mTyPg+AARBC506rpNU7WDNmzevz8e33Xab6fCcP3++HHDAARm/57rrrpMvfelLcsEFF5iPL7/8clMovf7662Xu3Lklud0AAADI8/xb/w8AEDg6OwEAGGaMLZ2dAIKWSnd2sthSTlpaWszbiRMnDnjMCy+8IIceemifz82ZM8d8fiCxWExaW1v7XAAAABDA+TfFTgAoCxQ7AQAY7sxOip0AAqY7yjVKy2GxpWw4jiPnnnuu7LvvvrL99tsPeNyKFStkypQpfT6nH+vnB5sN2tjYmL7MnDmzoLcdAAAAg9NAFbezM+hbAgBQFDsBABh2jC3FTgDBL7ZoodNddGHFpRzo7E6du/mnP/2p4Nd90UUXma5Re1myZEnBfwYAAAAGZs+9ibEFgPLAzE4AAPLQ5Y+xpdgJIGDa1ZlKx2mJRIK+QWPcOeecIw888IA8/fTTMmPGjEGPnTp1qqxcubLP5/Rj/fxAqqqqzAUAAADBbjZMMkYCAMoCnZ0AAOSh0xddy8xOAEHTeUFmwcUrfCIY2lWrhc6///3v8vjjj8usWbOG/J69995bHnvssT6fe/TRR83nAQAAUN6bDc1bujsBIHB0dgIAkAc6OwGUEzOvUwue3luRUNA3acxG1955551y7733yrhx49JzN3WuZk1NjXn/pJNOko033tjM3VT/8R//IQceeKBcddVVcuSRR5rY21deeUV++9vfBvrfAgAAgIGlzP9cJKsAQPDo7AQAYJgzO+nsBBA0LXDqhnJdckmysTwwv/71r80MzYMOOkimTZuWvtx1113pYxYvXizLly9Pf7zPPvuYAqkWN3faaSf5y1/+Ivfcc49sv/32Af1XAAAAIOvNhiSrAEBZoLMTAIA8dPo7Oyl2AgiYFji1l9MUPInRCkw2v/snn3xyg899/etfNxcAAACMrM2GJKsAQHmgsxMAgOEWO4mxBRAwJ5WScCiU3l0OAAAAoPgzOzVZhc5OAAgexU4AAIYbY0uxE0DAkqmUREJuZ6cWPgEAAAAUj53Tac6/09M7AQBBodgJAEAe/AVOYmwBBC3u6GKLdna6O8wBAAAAFI/jOOlkFfYaAkDwKHYCAJAHYmwBlJOEOBIJhdwYraBvDAAAADDKadaTOf82nZ0AgKBR7AQAYLjFTjo7AQQsmRIJhURC2t3JznIAAACgqJKOu7Bu5nbS2gkAgaPYCQBAHvwFToqdAIKWSKXSJ/ba3QkAAACg+MkqTopkFQAoBxQ7AQDIQ2dPwvc+xU4AZVDs1NZOSZkuTwAAAAAlSFYJCckqAFAGKHYCAJCjpJOS7njv3s1uOjsBBMjsJk/ZGC13dzkAAACAEiSrpELikKwCAIGj2AkAQI76x9bS2QkgSFro1OUV09gpxGgBAAAApTgHD5nWzpSw1xAAgkexEwCAYUTYqi6KnQAClPSia8MSEq130tkJAAAAFE8qlTLn4CZZxXR2AgCCRrETAIAc9S9uEmMLIPjOTp3ZqR8RYwsAAAAUkxY39ZQ75iQlaUZKcP4NAEGLBn0DAAAYafrH1hJjCyBIOiNI11dC3k7GBGstAAAAQFE3G2rB85POHqkMh+nsBIAyQGcnAAA5ssXNmopIeoanxtgAQFCLLbqj3MTYhvT9oG8RAAAAMLo3G+o5eE/KMXG2nH4DQPAodgIAkGeMbVN9ZfpzsQR7OQEEQ2OzdIFFY2y14JlgbzkAAABQNLq5UM/AE46OkBBxHM6/ASBoFDsBAMhRZ0/CvG2q6y12EmULICiOV/AMh7zOTtZaAAAAgKLRZKeEk5KE2XKobwEAQaPYCQBAjjS2VtVVRaUyGu7zOQAoNRNbqwM77cxOgrQAAACAotG9hTpGwv0fmw0BQMZ6sfOKK66Q3XffXcaNGyeTJ0+WY445RhYuXNjnmIMOOkhCZpd67+XMM8/sc8zixYvlyCOPlNraWnM9F1xwgSQSfffUPPnkk7LrrrtKVVWVbLnllnLbbbdtcHtuuOEG2WyzzaS6ulr23HNPefnll/t8vbu7W84++2xpamqS+vp6Oe6442TlypUF/Z0AAMpfR8wtbNZWRnvndtLZCSAgusQS8qqdeq6sXZ4AAAAAikPPtxMpd26nJtgyRgIAxnix86mnnjLFwxdffFEeffRRicfjcthhh0lHR0ef48444wxZvnx5+nLllVemv5ZMJk2hs6enR55//nm5/fbbTSHzkksuSR+zaNEic8zBBx8sr7/+upx77rly+umny8MPP5w+5q677pLzzz9ffvKTn8irr74qO+20k8yZM0dWrVqVPua8886T+++/X+6++25z25ctWybHHnts0X9PAIDyjLGtrYyYi6LYCSAousiiJU97cu940VoAAAAAitfZKVr0lJSbtAIACFQ0yB8+b968Ph9rkVI7M+fPny8HHHBA+vPasTl16tSM1/HII4/Iu+++K//85z9lypQpsvPOO8vll18u//mf/ymXXnqpVFZWyty5c2XWrFly1VVXme/Zdttt5dlnn5VrrrnGFDTV1VdfbYqqp5xyivlYv+fBBx+UW265RX70ox9JS0uL3HzzzXLnnXfKF77wBXPMrbfeaq5Li7V77bVX0X5PAIDyYgubWuhMd3YSYwsgIG6EltfZaQqd7gKM++gEAAAAoNCbDRNa65SQKXRS7ASA4JXVzE4tKKqJEyf2+fwdd9whkyZNku23314uuugi6ezsTH/thRdekB122MEUOi0tYLa2tso777yTPubQQw/tc516jH5eaVeoFlj9x4TDYfOxPUa/rp2n/mO22WYb2WSTTdLH9BeLxczt8F8AACNfp1fYrKmMSDXFTgABM6FZXidnWGNs092eAAAAAArNkVT6ov/PGAkAGOOdnX6O45h42X333dcUNa1vfetbsummm8r06dPlzTffNB2bOtfzb3/7m/n6ihUr+hQ6lf1YvzbYMVp87OrqkvXr15s43EzHLFiwIH0d2iU6fvz4DY6xPyfTTNKf/vSnw/itAADKvbOzN8a276xoACgVXVzRWZ1K/9/MDjKxtu7nAAAAABSOSVIxnZ3a1RmSpDdSAgAQnLIpdurszrffftvEy/p997vfTb+vHZzTpk2TQw45RD766CPZYostpJxpF6rOAbW0uDpz5sxAbxMAoJAzO6Omu1PR2QkgKAktdnrvh0O66MLcIAAAAKBYnHTBU8+7U+5mw1TKpKwAAMZwjO0555wjDzzwgDzxxBMyY8aMQY/dc889zdsPP/zQvNVZnitXruxzjP3Yzvkc6JiGhgapqakxEbmRSCTjMf7r0Ljb5ubmAY/pr6qqyvwM/wUAMPJ1ep2dOq8zHWPbY4IkAaDkEo5b5PTP7EwRpQUAAAAUhSlymgBbt/CpHzNGAgDGcLFTF2G00Pn3v/9dHn/8cZk1a9aQ3/P666+bt9rhqfbee2956623ZNWqVeljHn30UVNYnD17dvqYxx57rM/16DH6eaXxtLvttlufYzRWVz+2x+jXKyoq+hyjcbqLFy9OHwMAGLsxtrbbEwBKLSGOhL3eTn3rzg8CAAAAUAz+AmfIS1Vxx0gAAMZkjK1G1955551y7733yrhx49KzLxsbG03HpUbV6tePOOIIaWpqMjM7zzvvPDnggANkxx13NMcedthhpqh54oknypVXXmmu4+KLLzbXrZ2V6swzz5Trr79eLrzwQjn11FNNYfXPf/6zPPjgg+nbonGzJ598snz+85+XPfbYQ6699lrp6OiQU045JX2bTjvtNHPcxIkTTTH1e9/7nil07rXXXoH8/gAAweiwMbZVUdPdqbqJsQUQEF1csYlZ+tZGagEAAAAoVmenF2crITNWgs5OABjDxc5f//rX5u1BBx3U5/O33nqrfOc73zEdl//85z/ThUedd3nccceZYqal8bMagXvWWWeZwmNdXZ0pWl522WXpY7RjVAubWii97rrrTFTuTTfdJHPmzEkf841vfENWr14tl1xyiSmY7rzzzjJv3jyZMmVK+phrrrlGwuGwuQ2xWMx8/4033ljk3xIAoGw7O/0xthQ7gT4+Wt0u/1q0Tr7++ZkSsRmrKIq4k5KIL7bFXXQBAAAAUAw6p9OMj/BGSJhiZ9A3CgDGuECLnUPNEtLi5lNPPTXk9Wy66aby0EMPDXqMFlRfe+21QY/RSF29DKS6ulpuuOEGcwEAjF2dGWNsKXYCfpfe944888EamTGhVvb73KSgb86opvOCQl5rp75NEWMLAAAAFE3CJKm4a9vuuXdqyHVuAMAontkJAMBIZAubNZURYmyBAaxqjZm3q9u7g74po5qdFeQ/qQ/p3E7WWgAAAICidXbq/8xGw5RI0tGPAABBotgJAECObGRtbWXUFDzN5+jsBDLOtqXrufjzOrWL087stFhuAQAAAIrDxNY6IpGQe94d90ZJAACCQ7ETAIAcdXpFHI2wtcVOCjpAXx0xr9gZ42+jmDQyy+3s9Fc7U6YICgAAAKB4Gw7tfDjt7NTEFQBAcCh2AgCQA8dJSXfc2SDG1nZ7AnB1eEVO2+GJ4jCzgiQlYV+tM2VibFlsAQAAAIoVY6vdnRGNsfW6OunsBIBgUewEACAH/qKm6exkZiewgZ6EIz1J9+U+Ec+lmtnZt7OTxRYAAACgOJLmfDslUVvs9M7JAQDBodgJAEAObJeazserjhJjCwwW9azo7Cwus4s81bezU9+lsxMAAAAoPFvY1ChbXRcwnzPbDTn/BoAgUewEACAHtktNOzrD4RAxtkAG7d68TsXMzuIvtuiyir+vUz+i2AkAAAAUa4yE291p01Xo7ASA4FHsBAAgB7aDUyNsle3s7KazE9hgXqei67m4kt7MoLDdVu6d4CdYbAEAAAAKTuNrE443SsLX2amfBwAEh2InAAA5sIUbW+S0Rc9OOjuBjNG1xNgWl7vI0q+vM+TGagEAAAAoLDfC1j3ZDnnn4abbk/NvAAgUxU4AAPKIsa2tiJq31TbGlu41IK3DH2PL30ZRZZoNpHFaCbO/HAAAAEAh6Vl2QkdJ6KZD6Y205ewbAIJFsRMAgBx0el1qtrPTzuyMJRxxGNIBGBQ7S0c7OFP9tpGbzk5WWwAAAICC03NvLW6mQmImdupFT8d1bicAIDgUOwEAyEGXF1dr42trK6MbfA0Y6/rO7CTGtpjMokq/GFszs5OZQQAAAEDBOd6Gw1AqZRJVIhIy5+Q22hYAEAyKnQAA5MB2qdliZ1W096mUYieQYWanr/CJwjMNnBt0droLLgAAjDZr22PSzTk3gADpeXbcSZm34ZCXqpLSaNugbxkAjG0UOwEAyCOe03Z0hsMhqa5wn06Z2wm42n0xtl10dhZV0nFMcdMv7BVB+8fbAgAwkrV0xmX/K5+Q43/3YtA3BcAYZjs7U6GQW+z0Zngy1QYAgkWxEwCAHHT16+z0Fz7p7ARcnf4Y23iSebZFlMhwQp+eGxTQbQIAoBgWr+s0KSvvr2gL+qYAGMP0pU1KvM5OPRcPhczHCc6+ASBQFDsBAMiBFm5Uja/YWVPhvk9nJ7BhZ6cW3boT/G0US9LZYGSnWXDRpRZqzACA0aQtFjdvO3rYSAUgOI7ofE4teIZMwoqeiutDEg9LABAsip0AAAyzs9MWPu08T2Css3HPFn8bxRMXR8JmiaVXesFFWHEBAIwe/jngJKoACEoqfZ6dSm80TGpnJyMkACBQFDsBAMhBpzd/0EbX+js7u1l0ATIWN/2xtiishKMLLH0/px+nvB3nAACMFu1eZ6fqYCZ4WbjpmY/l/jeWBX0zgJIyCSrmbLv33NtJhSRJaycABKp3pRYAAGRdxLEFTv/77DAHNoyxVSxIFk/SmxWUaWZnit3lAIBRpN0/E1zfHxfozRnzljV3yc8efE/GVUXlqJ2mB31zgJLRWZ2OE0qnq7j/rzM73fNvjbYFAJQenZ0AAOSAGFtgaMTYloYupmhkVv8FFV140d3muuscAIDReH7BRqrgrevoMW/bYglJ6BBxYMx1dvbG2KqE43D+DQABotgJAEA+nZ3+YiednUAfHf1jbFmQLN5CS2rDE3pdbzGzhOjsBACMIu3dvmInEfnlVXzm/sBY6+w0hU63yBn2zssT5vw76FsHAGMXxU4AAHJgizZ1/pmdXuGzm+41oM/il50lyQJYcehiiuPbTW7ZBRfWWgAAozUmn87O8ro/2nzzVIGxMEbCLWq6Z9shLXqaz/V2ewIASo9iJwAAeXR2EmMLDF3sbKqvMm+74ixIFoOJqk3ZPeW9NNZWF1qI0QIAjNbimpnZifIpPnN/YAwxHZxOSiLehkN3cT0kiXQRFAAQBIqdAADkgBhbYGi222LyOLfYyQJYcSRT7tzOiFftTDgps9Pc7jBnsSUYTz/9tBx11FEyffp0U3i+5557Bj3+ySefNMf1v6xYsaJktxkARgJmdpZvsdP/PjDa6fm2vrqxGw41zUa7OpNsNgSAQFHsBAAgB7agWeuPsfWKnd0UOwFJJB3pjrsv8zfyip3M7CwOLXQ6NjpLRD7s6JaVvhg5YrSC0dHRITvttJPccMMNOX3fwoULZfny5enL5MmTi3YbAWDkd3ZyblFeM1S5PzB2JLzCph0lYd6EdOOhe34OAAhG70otAAAYki3aZI6x5UU+0OGLc97Ii7El4rk4tNCpu8jTs1EdR2pSdi+jdnkGeevGrsMPP9xccqXFzfHjxxflNgHA6JvZyblFWXXaUuzEGIyxtWfd+laLnHruTWcnAASHzk4AALKkL2hsx1rmGFte2gC26B8Nh2RCXaX3ORYkixWh5fhO6LsdJx1jmzIxtlQ7R5Kdd95Zpk2bJl/84hflueeeG/TYWCwmra2tfS4AMNpRXCsvbb77wP8+MNrpObb+i/caO834AW3tNDG2nH8DQGAodgIAkCX/TM5MnZ1dFHSA9OJjXVU0/XfCgmRxOF5UrS6waJFTI7Xi6UGdzAwaKbTAOXfuXPnrX/9qLjNnzpSDDjpIXn311QG/54orrpDGxsb0Rb8HAEY7/wxwNlIFjxhbjEXawWlibFMiEVvtdL9iPs/5NwAEhxhbAACy5F9UqY72FjttQacrzot8oN1biKyrjEidN9uWjQDFoXVNO68z4biLLnFvN7l+lp3lI8PWW29tLtY+++wjH330kVxzzTXyv//7vxm/56KLLpLzzz8//bF2dlLwBDDatXX3zqWmuBa8Dt8ID+4PjBVazNRz7pDJUektdoZCYXPund53CAAoOYqdAADkMa8zbIfkaeHTxthS0AGk09fZabue/YthKBxdUNH/mfe92KyedIGTGNuRbI899pBnn312wK9XVVWZCwCMpW4q/5xOOjuD1+br7LSb3YDRTouZyZRjdhaGfZ2dWvzU8idn3wAQHGJsAQDIkl1U8UfYKmZ2Ar3afcXOuir3b4MFyeIwjzgpr7PTLLy4HZ72JF8/h5Hp9ddfN/G2AABXd9yRpK9lyp5vIDj++6A91tt1C4xmWtKMp9yip39RPeVtPrQbEQEApUdnJwAAWbIFG9uttkGMLd1rQLqLs97M7HRPNSl2Fofp3PQ2lGthUxdY0jG2Ibf4idJrb2+XDz/8MP3xokWLTPFy4sSJsskmm5gI2s8++0x+//vfm69fe+21MmvWLNluu+2ku7tbbrrpJnn88cflkUceCfC/AgDKS//ipk1cQXD80bX+earAaGY2F2pnpyl2hjY4NyfGFgDGaGfnFVdcIbvvvruMGzdOJk+eLMccc4wsXLiwzzH6gv/ss8+WpqYmqa+vl+OOO05WrlzZ55jFixfLkUceKbW1teZ6LrjgAkkk+p74Pvnkk7LrrruauKctt9xSbrvttg1uzw033CCbbbaZVFdXy5577ikvv/xyzrcFADB62Zja2oq+e4XSMbZxXuQDdrFLNwHYjQDMcSoO85v2ipvJlM7sTEnCLLKkzOJLwu39RIm98sorsssuu5iL0tma+v4ll1xiPl6+fLl5/WL19PTID37wA9lhhx3kwAMPlDfeeEP++c9/yiGHHBLYfwMAlJv+5xIU14LX3ifGlnM9jA26uVDPt/UU3DfZJl0I1a8DAMZgsfOpp54yxcMXX3xRHn30UYnH43LYYYdJR0dH+pjzzjtP7r//frn77rvN8cuWLZNjjz02/fVkMmkKnbpI8Pzzz8vtt99uCpl2McHuptZjDj74YLOr+txzz5XTTz9dHn744fQxd911l1mI+MlPfiKvvvqq7LTTTjJnzhxZtWpV1rcFADC62R3k/Ts77cfM7AR6FyPp7Cw+x3Ek5M0K0kKnljZT3vums5NaZyAOOuggM1uu/8VuttS3uhHTuvDCC00naFdXl6xdu1aeeOIJ87oFANCLzs7yvk/Y2IaxQoucWtRMhXRCZ98FdnM+Tq0TAMZmjO28efP6fKwv/LUzc/78+XLAAQdIS0uL3HzzzXLnnXfKF77wBXPMrbfeKttuu60pkO61114m3undd981u5+nTJkiO++8s1x++eXyn//5n3LppZdKZWWlzJ0710RDXXXVVeY69PufffZZueaaa0xBU1199dVyxhlnyCmnnGI+1u958MEH5ZZbbpEf/ehHWd2W/mKxmLlYra2tRfxtAgCKzXZu1g4UY0tnJ5Be7GJmZ/ElfDsXdYe5Lry40VrezE52lgMARmmxs4Nzi0DpJh6KnRiLdC+hHRXh7+wMh0LeWAkAwJjs7OxPC4pK59koLXpqt+ehhx6aPmabbbYxs25eeOEF87G+1cgnLXRaWsDUwuI777yTPsZ/HfYYex3aFao/y39MOBw2H9tjsrktmWJ6Gxsb05eZM2cW4LcEAAiKLdj0L3bWeDG28WRK4rRSYYyzi4+1VZF05DPdF8WRcNzZnCopvR2EGp+lHZ9mpicAAKMoMnVCbYV5S3EtWLrJ09/B1sb9gTFCz68Tjh0b0StkOzsd1gMAQMZ6sVOfDDRedt9995Xtt9/efG7FihWmM3P8+PF9jtXCpn7NHuMvdNqv268NdowWRDUuas2aNSYON9Mx/usY6rb0d9FFF5kCrr0sWbIkr98NAKC8ip01XjRn/5mdqpvuToxx6RjbyqgpeNq/HYdMp4KLpxyJeNVOXXTRAqft7tSTfBNrS8ETADAKdHgbpyaPqzZvObcos05bip0YIxwvPcWMkrC7Dr3OTkccYTUAAMZojK2fzu58++23TbzsaFFVVWUuAIDRodPGc/br7KyKhk2Eja636NzOcdXujnNgLC9+mRhb38aA7kQyPcMThaFFzZCvyzOqj0PixtlWhNyZQrog0/cRCwCAkXt+MbmhShaubEt3F+r5BoLrtLU6YpR4MDboa343PcU/sdP9yHHcjYcAgDHc2XnOOefIAw88IE888YTMmDEj/fmpU6eaiNnm5uY+x69cudJ8zR6jH/f/uv3aYMc0NDRITU2NTJo0SSKRSMZj/Ncx1G0BAIxunV7XZk2/Yqfu6rRRtsztxFhnO6B1Xmd1RTi94ZlFsMLTqCx7Mh9LOVLhRdeaWC2zu9xdkAEAYLQU1zaqr0rPybPdngiu+FwRCaXvC9IkMBakzP9CEpK+/9713DvpnZ8DAMZgsVNPhLTQ+fe//10ef/xxmTVrVp+v77bbblJRUSGPPfZY+nMLFy6UxYsXy957720+1rdvvfWWrFq1Kn3Mo48+agqZs2fPTh/jvw57jL0OjafVn+U/RmN19WN7TDa3BQAwumnXZqaZnf4CKMXO4Pzx5cVy4s0vbRCrheA6O3UjQK23EYC5nYU/j9YILV1Y8UfaprxFFrO73HR2suACABj5OjIkR3SykSr4TlsvVljrO3bDGzCa6fl1MrXhGbZuwtBz8AQzOwEgMNGgo2vvvPNOuffee2XcuHHp2ZeNjY2m41LfnnbaaXL++efLxIkTTQHze9/7niku7rXXXubYww47zBQ1TzzxRLnyyivNdVx88cXmum2E7JlnninXX3+9XHjhhXLqqaeawuqf//xnefDBB9O3RX/GySefLJ///Odljz32kGuvvVY6OjrklFNOSd+moW4LAGB0s8WaTFGcttjJi/zg3PrcInl/Zbu89PFaOWTbvnO4EcxipKqtikpHT5K/jQJz53H2Bmjpr9ftdAlJwnR2ujvP6ewERt5j6LduekkO2WayfP+QzwV9c4Cy0e4VNuur3ZngbbEEG9zKodN2XJUsb+ky5xt6fxArjNFOy5xOvwhbpZ/RbYdxzr0BIDCBnoX8+te/Nm8POuigPp+/9dZb5Tvf+Y55/5prrpFwOCzHHXecxGIxmTNnjtx4443pYzV+ViNwzzrrLFN4rKurM0XLyy67LH2MdoxqYfO8886T6667zkTl3nTTTea6rG984xuyevVqueSSS0zBdOedd5Z58+bJlCm9i6VD3RYAwOhmizU2stbPfq6bgk5g1nfGzdvWbvctAi52epsCbCc0nZ2F5XZt6mzOkOny7EmlTGenLrI43oKLmdlJlBYworyxpNlc1rbHKHYCPu0x9/yuPt3ZGWMjVYBsoXlcddQUONu63eIz2w0xdmZ29mXSVkIh6UnR2QkAY7LYmU2ef3V1tdxwww3mMpBNN91UHnrooUGvRwuqr7322qDHaKSuXoZzWwAAYzTGlpmdEvQ5RYtX7NTFFgRHuzjtzE5/JzQzOwtLY7L0UqXzgby4Wl1k0W5Od5anzux0C58ARg67YYfnMqAvex5RVxkxnZ3mc2ykCnxzmxaf9aKPWfZzwGim59buuXZfYa8QGufkGwDG5sxOAABGZGfnIDM72WEeDC0y9yTdV5atXXR2lsvil12UVPxtFJb5155yo2s1tlYLnvqbTs/s1BhbOjuBEafVK3Jqh1Q2m4OBsUJja1V9dQUzO8vo/jAzVL1zPmKFMRY4jmPOu00np4/JV/E2I/L8DQDBoNgJAECWOr2uzYwzO+nsDFSz19Wp6IYJjuOk0kVN+3fSuxGA+6WQdBHFjasNSVL7Ob1uTv1txx13t7mZ6xn0DQWQ1xy8pJPinALIuJkqki6u0dkZ/GOViRW29wfFZ4wB+i9fNxqGMi2wh3TTobcpEQBQchQ7AQDIUmd6FuHAnZ026hbBFTuZ2Rn8hoC+nZ12QZK/jULS36Z2bYa9RRXdRR4JubvM46az0420ZbEFGFn8G3bYvANkKnZWpEdKEJsanA7fzE4tQPvnqgKjmYYJ6SbDSL/OTj0n188nxDFxtgCA0qPYCQBAIWJsK9yCDl0YwWju6tkgAhDBLXzpi/3qCvc0087VspsFUBha6NRCpv6WTYytmdnZW+wUr+uTxRZgZGnzbdjxvw+Mdbb4rzPB62yMLRupyiLG1m5wa6ezE2OAFjP1X3q/Wqc7QkITV0xnJyfgABAEip0AAGSpa7AY20r3KZXOzmC0EGNbFuysprrKqOksVLb7ggXJwnIjat0OTu3qdFIhU+gMezG2lh4DYOSgsxPIzEbWamHNbqSis7M8ZrT3xthyf2D0M8VMb3yEn56Dm5mdjp6XB3bzAGBMo9gJAECW7MxBW7zxY2ZnsJq7fDG2vvdRWp3ejn676GXeT3dfsABWSFrglJS7yJIwKyruqkrE19mpn9MFGQAjR5svBpJiJ+DSAkJ6RqSJTaWzs1w2uLkxthQ7MXbEHcdNV9mgszNk2jsTZowEJ+AAEIQNW1MyOPbYY3O+4rlz58rkyZPzuU0AAJQdx0lJd9wZOMbWK+jQ2Rn8zE5i/8qgs9PruPB3QjOzs7C0nhkKuQsp+shk11t04UVjbXXHuUZp6VsAIwedncCGYgnH29jjbqhKn1tQXAuMLT7XVfZ2dtrzQGA00yUBfTSyKTZ+Id1oaGZ6BnLTAGDMy6rYec8998j/+T//R2pqarK60jvvvFPa29spdgIARg1/xyadneWHmZ3lwS46+js77d8LGwGKEGNrOztNYdOlUbba9Wk6P83OcgAjif85rN3X5QmMZf6iZp0prnkxtqRGBMYWNv2dtrYACozmLnNNUNHT7ExRiSGxnZ0AgLItdqpf/vKXWRcv//KXvwznNgEAUHb8MVnV0UzFTmZ2ls/MThaHg2IXHet8c22Zq1UcWsxMeZ2dWuy09JGoJ6Wfc7s96ewERhb/cxidnUDfwppuoIqEQ77OTs67Ay92VvlibCk+Y5Rz7CZDTazN8PWwFjp10gTn3wBQvjM7n3jiCZk4cWLWV/qPf/xDNt544+HcLgAAyootYmoHZ7j/gA5fVCedncHH2GrccE+C/bRB6Bh0Zid/G4VkZgV578eTKTOrU4U1QEtjbN2ALYqdwAjjL3CSVAD0j8l3zynqvNQI5oEHJz1DtcofY8u5HkY3LWTqhsNQKmXOufvTaNukuDM9AQBlWuw88MADJRrNuglU9ttvP6mqqhrO7QIAoDw71nyzCP2qieosmxhbRXdn0DG2vX8ndsYtC5KF5Ti9kzpjZsHFpXsxkmYhxj3R1w5PACOH//mLSEig72aqcbbYaTsJKa4FwnFS6VnsbowtKR4YG3QzoYmpTYlEMrR26mm3k9LNhkHcOgBAVsXO/oXP3//+99LV1VWcWwQAQBmyXWm2cNNfrTezs5POzsA7OxXRf0FvCqCzs9jivllBccfp7ewMuQsxWuzUT+lbACNDPOmYdAKLjTtA3/m16c5Or7jGRqpg+ONq+3R2cv6NUU6LmBogZPJTQgPP9XQTVgAAZV/s3GWXXeSHP/yhTJ06Vc444wx58cUXi3PLAAAoI7Zjs7Yic9KBLYJ2U9Api2JnKwvEgbA7+u3spj4zO1mQLCidFxQO+To7vff1t63RtY4Xr5UgSAsYMfpv1GHjDiB94lFtkdOOjyA2NdhY4Wg4JFXRcPq8z34eGK3cDYUp0f9lWlB3U1VSwhQJABghxc5rr71Wli1bJrfeequsWrVKDjjgAJk9e7b8z//8j6xcubI4txIAgIDZneMDdXZWe52dzOwMNsa21rt/WCAOhl10tPeD/30inotR7HQLm/p+OkorFDJ7yc08Ie3spNYJjBj9OznbvG42YKzrnQ9ZYd7WpVMjON8LdHNbddTMKLTFTja2YbTTIqaeYyv9t9+fbj7UERKcfgPACCl2Kp3feeyxx8q9994rS5culW9961vy4x//WGbOnCnHHHOMPP7444W/pQAABMgWMf1FHD/7eaI6S687nkzH/s2cUGvetnaxQBwEu+jo7+ys8xYkmatVWLqQokss7u5yd3Glly60uDvOda4QgJGh/0YdIiGB/skRXmdnOsY2aeZHIpjHqrrK/jNUeczC6OZ4oyQGSLA1n9dzcN2MCAAYIcVO6+WXX5af/OQnctVVV8nkyZPloosukkmTJsmXv/xlE3ULAMBoYYuYAxU7a7zOTi28obRavMJmJBySqY3V5n06O4NhF7n8MzvTnZ1xFiQLSYuc7u5x7ezse1If8hZjdMc5iy3AyNE/gp3nMkD6xKPa8wv/pipSVYK7P8ZV9y12xpMpiSW4PzB6mVERkkoXO5vjCXm9tTN9vm3PzensBIARUuzU6Fotbm6//fay//77y+rVq+WPf/yjfPLJJ/LTn/5UbrrpJnnkkUdk7ty5xbnFAAAEWOys8XYw92fjbXXBJUVxIZB5neNrKqSxxo03Y2ZneSxG+udqKRYkC0MfY5LerKCk93HEt8dcez1NMdQrevKYBIwMtrhZXeG+TG+l2An0Ob/Q2FSlcyI1yl0RnRr8jPY632ZQOtIxmul5ddLRDYfu8/S9q1rkD8vXyYKO7t4Nhyk9FwcABCHziu0gZsyYIVtssYWceuqp8p3vfEc22mijDY7ZcccdZffddy/UbQQAIHBd3kJKrdfBOVCxU1/89CQdqYpmPg6F19zpzutsrK1I7zBngTjYTQH+RS9dtNeEVa236YKkvxCK/LgFTC8qy7Fdnr1fT8/s9I7T43lEAkZOsXP6+Br5eHWHtDOzE+hbXPM2UGlyQV1lVNpiCTcmf1ywt2/Mxth653TRSNik3OimNr0/muoDvoFAkWgh02w09MqZ6+Pu38J6b0OndnbGHEcch95OAAhCzqtNjz32mOnoHExDQ4M88cQTw7ldAACUlQ4bY+vNCBooxlZ191DsLKXmrt7Ozgavs7ONzs6y6ey0C5L6tU4WJAtCC5nJlEhVOCQ9jmM+jviKnfroEze7zkMSN3ODpM/XAZQn+9w1vdEtduo86njSkYrIsKbPAKOus9Oek7vFTja4BVZ89t0feu6nxU57XwGjkRY5NbLWdm52eEXNbu+tbj5053rS2wkAQcj5VdNQhU4AAEajriFmdupCZNRrrSKqs7RabIxtbWVvZ2cXCy3lEGvWv/PZdn5ieLR4aecF6VyglFdUtmyRM+Q7FsDI6Zaa5s2f9n8OGMsybaaq87o8ObcIsPjsG1VQ720IJVYYo5l7Xt27mN6VdIucnd5b92w8JXFOvQGgfIudu+66q6xfvz7rK91vv/3ks88+G87tAgCgrHTaGNsBZnb2LejwIr+Umrt60p2d46rp7AyS6dzMsCnAxtryt1EYZjkl5e4et8VOP1vs1K+7O9CDuZ0AcmOfuybUVaYTI5h/B2TeTGULnxTXSk87ajN1dio6OzGa6QbChJeeoskq3d5Jtn2rn1eavAIAKNMY29dff13eeOMNmThxomR7fCwWG+5tAwCgbNhd4/642v70a9qBQWdnaTV7nZ06s7PBW3ShE6b0UqlUesGxf2en3SRg46AxPBqflZSUhCWUftt/N6PG2KZndhKlBYwI9rlrXFXUJBXo+UQrm3cCt2BFq0yqrzIXBPu34T+/sBur7EYrBFt8tu+zQQOjmdY0daNhyNfV6e/sDHvH6Hk4AKCMZ3YecsghZhErG/4YLQAAxkKMrb+zs5tiZ0AzOyulwevsZHG49HRR3r6u98fM+f9uuui+KAhdTtHTcj3lTmaIqY3Yzk4Jma+xtxwYWd1SWujUjqlVbTE27wRsWXOXHHHdM7LDjPFy79n7Bn1zxiy7maouU2cnnYQlZwuamYqd3B8YzbSbU4ud2sHZ6evetDM7Q+5WQ3MMAKBMi52LFi3K+YpnzJiRz+0BAKC8OzsHK3Z6XZ/MDgpqZmeFNNTQ2RmUDl9nRf8O6Nr0Ahh/G4WgnZp2XpCJ0ur39d542xSdncBI7Oys7o1lJxIyWIvWdJiNPB+vbg/6poxp9vwhU2cnMbYBzuwkxhZjMV0llTIbC9sH6OzUkmcP594AUL7Fzk033bT4twQAgDLW6XVrZjOz03aBojTWd3ozO2t7F4fp7Cw9u5Nf53OGtdrmw8zOwtJuTi1kappKzHEXXPzsHCFNZTFdoIHdUgD5zOzUzs7eWHaez8ohKl8L0Ul9vO33/IYSdxL6i2veOTmbDAMsdmbstOX+wOiVSLnn4RXhULrAqbq8zk59itDzb92MCAAovf4bwQEAQAY2fnPQGFuvm42ZncEsRI6v7Y2x1UXJbOP3UdiFr/4Rtv6NACxIFoZG04ZS7oJ7T8oxxc3+J/i6EJOUkCmKEmMLjLzOTltEIKmgPDZUqVYvNh+lFUskpccrKtT7Nh0SY1texc76KjptMfppEdOkq4R6uznFN79TT8n1Faj+FZCsAgClR7ETAIAs2F3KgxU7e+cSUtAppZb0zE7t7HQXXbT7gqJzadlCZqZiZ523ONnB30ZBmLWTkLuAEs8UY6tFTi/GVmcHsbkcGHmdnfb5jEjI8jjH6P8+SsffKVjnFdT877ORqjw6beurejccAqNV3MtM0W2G/mJntxZBdZan+WpKko7D+TcABIBiJwAAWejKIsa2ms7OQDT7Ymy14Gwj5lq7WGwJJMbWtxBp1doFSRbtCyJpZnHazs5MMbZuZ6dGbYm36AKg/NkigaYUEMteHtZ39HZ2UuwM9vyiuiIs0UjvEpY9J2dDQOm1Z5ihas//6LTFaNbjuGfVeu7d6UXXKv2cjpbQERM6s9N0dnL+DQAlR7ETAIAs2FmDxNiWl56Ek+4WHF9TaV5g2m4Y5pwFFGObYUNAbYU3V4u/jYIwO8VDKTOXUy/9R8jpx7rAogVPXX5hZzlQ/hJJJ92hps9jxNiWh2Y6O8syMrVvZyd/I6XWHotniLElVhijX4/jFjb7d3b653bq1/QcnPNvABgBxc7NN99c1q5du8Hnm5ubzdcAABhtHCcl3XGnz+zBTIixLT278KibaG2R076lGyaozs4MMbZ0dhaU4y2k6NwgXUzp39mpv22N0tKLBm1pQRRAefN3p9X7Y2wpdpZFeoSi2FlexU7b2emPuUVpNmbY10V9OzvptMXo16MFzZQ7MsLO6bTSH4dCZqRK368CAMqy2PnJJ59IMrnhyWQsFpPPPvusULcLAICy4e/UHKyzs5piZ8m1dLmLkI01FRL22ts0/k+1skBcUrbDNlOxM70gyd9GQegcIC13avemOx+oX2tnKGR2nbtFThZbgJHAdnBqSkRFJJx+LiOlIFjNnXR2lk1yRL/zi3o6O8tghmqGzk7uD4xSes5tzq212BkarLMz5Y2cYLMhAJRtsfO+++4zF/Xwww+nP9bL3//+d7n88stls802y+mHP/3003LUUUfJ9OnTTezcPffc0+fr3/nOd8zn/ZcvfelLfY5Zt26dnHDCCdLQ0CDjx4+X0047Tdrb2/sc8+abb8r+++8v1dXVMnPmTLnyyis3uC133323bLPNNuaYHXbYQR566KE+X9cnqUsuuUSmTZsmNTU1cuihh8oHH3yQ038vAGBksrFyqjpKjG05LkKOr3EXhft0drIoGUhnp1189KPrubDippvTncnpdnZmOiokiZT2dbqLMwDKm00jsM9h2t2piLEN1no6O8vo/ILOznLQ5kXYVkbD5mLZxyy60TFaaSyt/utOhdzz6w7fzE7V5c6PcGNstdgZ0O0EgLFsw633AzjmmGPMWy04nnzyyX2+VlFRYQqdV111VU4/vKOjQ3baaSc59dRT5dhjj814jBY3b7311vTHVVVVfb6uhc7ly5fLo48+KvF4XE455RT57ne/K3feeaf5emtrqxx22GGmODl37lx56623zM/Twqgep55//nk5/vjj5YorrpAvf/nL5nv1v/fVV1+V7bff3hyjBdJf/vKXcvvtt8usWbPkxz/+scyZM0feffddUyAFAIxetkCjxUzbPZgJBZ3gip2NtZXpz41Ld8Ow2BLEYqRdfMz0t8Fu/8LQXeUhU8x0Z3NmelgyRU6zszFEsRMYAexzli0YpGNsiYQMlL/AySaqYNji2UAzOzm3KC1bXB7X//7wzv/aKT5jlNJz7mRK/98997axtTXhkHQ5qb4zOx33PBwAUKbFTsd70NZC37/+9S+ZNGnSsH/44Ycfbi6D0eLm1KlTM37tvffek3nz5pnb8/nPf9587le/+pUcccQR8j//8z+mY/SOO+6Qnp4eueWWW6SyslK22247ef311+Xqq69OFzuvu+46U1S94IILzMfaparF0+uvv94USLWr89prr5WLL75Yjj76aHPM73//e5kyZYrpRv3mN7857N8FAKB8dcZtEWfgrk5FZ2fpNXdt2NnZG/3H4lcp2cXGzDM73c91sgBWENqxqYssWvTUS6ZHJl2I0a9VhtyiKIDyZp+z7IYdNu4ET9cBiLEt3xhbOjuD0e51dm4YK2zvDx6zMIo7O3VkZypkYhJtjG1TRVSWxuJ9ZnjquTqbDQFgBMzsXLRoUbrQ2d3dLcX25JNPyuTJk2XrrbeWs846S9auXZv+2gsvvGA6NG2hU2kHZzgclpdeeil9zAEHHGAKnZZ2ZC5cuFDWr1+fPka/z0+P0c/b/+YVK1b0OaaxsVH23HPP9DGZ6BxT7Sz1XwAAIzfGtjZDPKdftVfs9MfeoriavXi58bUZYmyZc1ZSdrExU4xtjbdRwG4cwPDEzZxOdyHFCG3Y2mlnduqXvFQtAGXMzuZs6NfZyXNZsEW2hK5ue/yFT5S+2Gm7nq06r9jJzM6AutAH6LTVTZ9J398NMFpoKVM3EOq5tb6v3ZxqovdYZDs7I95GQzo7AWAEFDu1w1M7HzfeeGOpr6+Xjz/+2HxeY11vvvnmgt447bbUDsrHHntMfv7zn8tTTz1lOkGTSXcxTQuQWgj1i0ajMnHiRPM1e4x2YPrZj4c6xv91//dlOiYTjcXVoqi96LxQAMDIY7vRaisGD0SwO8zp7Cydlkydnd77duEYpV2MzBRjW2cXJOm+KAhdW9HREm6cbWa65Bh3tCgakgTLLcAI6uz0ip1eIUEfW7XDEKXXv7hJZ2d5zey0xTXdZOhQXCv95rb+xWff/UP8NkYjfS5OpPScWmNre8+ttbNT2c7OcEhHSDjmfB0AUObFzp/97Gdy2223mRmW/m5JnW150003FfTGaTzsV77yFdlhhx3MDM0HHnjARNZqt+dIcNFFF0lLS0v6smTJkqBvEgAgD3bHuO1OG0hNpfu02k2xM9CZnbYrprWLhZYg/k76L0YqZnYWdqElKb2dnQOto+hCS9x2dlLrBMqe3aAzrqpvjK3WOTtIjAgExc7yYGdA1lUOXFxjo2HpY2z7n+9VRcNSEXG3YBFli9HIsRsOJZWOsK0Oh6Qu4q4BdHlRKvpXEE+5IyUAAGVe7NROy9/+9rdywgknSCTSu+i70047yYIFC6SYNt98cxOh++GHH5qPdZbnqlWr+hyTSCRk3bp16Tmf+nblypV9jrEfD3WM/+v+78t0zEDzRhsaGvpcAAAjj11AGWpmJzG2pbfextj6OjttVwydnQEtRg5S7OyOO0SbDZOuo+iv0M7slCGKnaYoymILMOI6O6srwhLVP3SezwI/x7AodpZXjK0W17w/EYprZRBjq4kT9hyQ+wOjkc7gjHsbDm2xsyYSlpqwV+z0uj31HFzP0XnJAwAjoNj52WefyZZbbpkx3jYeL+7J/9KlS83MzmnTppmP9957b2lubpb58+enj3n88cfNbdF5mvaYp59+us9te/TRR80M0AkTJqSP0ahcPz1GP69mzZplipr+Y3T+ps4FtccAAMbAzM4hip3pGFuKnaWPsfXN7GzwumHsYgxKwy5s1WX4O6H7onAccRdPNJ7WjanNTD+vX9fFR12cAVDeWtPFTvc5TP92bXGnneezQDR75xhTGqrM21aKnQHH2EY2LK555950PwcfY6vqvPuDGFuMRlrKtBsNbbGzNhyW2nRnp1fs9Aqjes4OACjzYufs2bPlmWee2eDzf/nLX2SXXXbJ6bra29vl9ddfNxe1aNEi8/7ixYvN1y644AJ58cUX5ZNPPjGFxqOPPtoUWufMmWOO33bbbc1czzPOOENefvllee655+Scc84x8bfTp083x3zrW98ycbunnXaavPPOO3LXXXfJddddJ+eff376dvzHf/yHzJs3T6666irTnXrppZfKK6+8Yq7LnkSfe+65JsL3vvvuk7feektOOukk8zM0XhcAMDaKnTUZZhH61XidncTYlj5iboIvxtYuFLfSCVNSnbbYmaGz0999YY9DfrTQqYsn+uvs0c5NzanNIOLr7NSlF2b+ASMkxtZXQLDv20IoSqvZ6+zctKnOvG2LJUgnCIAt9td7Ec9+tV4BlE7C4GNs/Z+zBVGU3q8e+0C+dO3T6ccvFPgcXGNsQ6HeYmckbKJs/Z2dempuYmx5ugCA8i92XnLJJaYI+POf/9x0UP7tb38zxcb/+q//Ml/LhRYUtUBqi6RagNT39Xo0IvfNN980Mzu32morU6zcbbfdTKFV42GtO+64Q7bZZhs55JBD5IgjjpD99tvPxOxajY2N8sgjj5hCqn7/D37wA3P93/3ud9PH7LPPPnLnnXea79M4Xi3c3nPPPWYOqXXhhRfK9773PfN9u+++uynGaoG0uro6118hAGCE6fLmDNZ6xcyhip3E2JZOc5f7Qr7R39lZY2NsWfgqpfZBip26KGA7n/n7GB6d16mLJ7qu0uM4pqiZiX7dzPQ0F7fgidLQVJmjjjrKbIzUf/v6umIoTz75pOy6667mdY5u7rzttttKcltRvjG25n2vuEOMbbAbqjadWJv+HN2dQZ5fZEiO4NwiuFjhTMVO243uFURRen99daksWNEmr3yyPuibMuroZsOE47gxtl5hU+d1btjZGTLn65x7A0DpDd6ikoF2V95///1y2WWXSV1dnSkc6gtz/dwXv/jFnK7roIMOGnSX+cMPPzzkdUycONEUKgez4447ZuxG9fv6179uLgPRhQr9b9YLAGCMxthmWGTxq/HiOzWmU5/f9LkDpVmI7Duz0+vsZEGyZPTfu42Qy7T4ZWOgdYGsw9s8gPy4hcuUF2PrFjUzsfOC9ExbL7oTPcJDUkl0dHSYDZSnnnqqHHvssUMer5syjzzySDnzzDPNRk5NtDn99NPN6A6baIOx1NlZkaFwwONmkDM7J42rMhHt+jyn8fkT6nrTJFB89rwh0/lFekYk5xZlMaPdfs4eg9Jb2+4+bq3roLOzGOfgSe8c2z+zszo9s9Nd39Zzc31tlCAJAADKv9ip9t9/fzPTEgCAsSDbmZ222KliCUeqh+gExfAkkk66E2a8L8a2wVsc1kVJjZuLDFQNQsHov3cb7TfQpgCzANYWo/timNxIWn0vZWJsB+zsNDG3bpHT/T59h7+FUjj88MPNJVtz586VWbNmmZEadlTHs88+K9dccw3FzjHEPp/Z5zD/+yQVBKMlHZVfIY01FeliJwKKsc0wI9KemxNjWzrtdmNGxhhb7o8gxRJJE7et1lLsLMo5eMJLV+lKpjaY2Rn3CpzuhmfdlEhvJwCUfYwtAABjTaeNsc1yZqf7PRR0is0/w8y/OOzvirELZCgu/6JW3QB/J3ZBkr+N4dFuTdOxaTs8Byx2htwElZB2d6bSRU+UnxdeeEEOPfTQPp/TIqd+fiCxWExaW1v7XDCy2e5N/3OYfZ8Y22A7O8fXVEqDlyBBsTPAGNvKgTsJO+kkLBk7jzNT8bnOu4/oRg+Gv5tzXUcs0NsyGjneObieY3ckvc3QkbBUhUPp7YQ6t1MX2rXMGWNoJwCUf7FzwoQJJjq2/6WpqUk23nhjOfDAA+XWW28tzq0FACAAtjjjL2Zmoh2ElVEvxibOokuxNXuLkDrfLOrtqFV6H1R590MrC8QlXfjSv5GBOmnTxU4WwIZFi5Za39Tfom4qH+hRSe8G/XoqpUVPd4EG5WnFihUyZcqUPp/Tj7WA2dXVlfF7rrjiCmlsbExfZs6cWaJbi1LO7LSxnWzcCcZ6G5XvdXaqZoqdJRVPOiY9YqAY23RnJzG2JWM7BweLsaWzM9gIW/M+nZ1F6uzUzs3emZ1a7NSNh9Xe6x+d22lfCfWk6OwEgLIvduqMznA4bObK/PSnPzUXfV8/d/bZZ8tWW20lZ511lvzud78rzi0GAKDEurKMsfUXRO33oHjsgqMuQvZnOzAodpaGXWSsG2Sure2MtrM9kR8TR5sKmbcpb3d5Jrrmosfob1vfstwyulx00UXS0tKSvixZsiTom4Rh0Bjw3s5Of1JBdIMkA5SO7eLUqHxb7KSzM8DkiEzFNe/cgtSI0mmPxQcsPtvHLDo7g+EvcK6n2FlwunEw4Z1725mdNsK22nvrdnaGJGQibQO9uQAwJuU8s1Pnx/zsZz+TM888s8/nf/Ob38gjjzwif/3rX2XHHXeUX/7yl3LGGWcU8rYCABBsZ2eWxU5dCKPYWbpZWhovl2mxZXVbTFq7WGwp5WJkpoVIyxZCu+i+GHZnZyqkiy3u7vLIAGM4I96ijImy9d5HeZo6daqsXLmyz+f044aGBqmpqcn4PVVVVeaC0cFfGMgcY8vjZpAxtnZmp2ql2BnI34amdtj0FD86CYNL8/BvzOh/f1DsDMba9ljGSFsUhs7gTGWY2WnfrpekKYLaDYc6vxMAUOadnQ8//PAGM2XUIYccYr6mjjjiCPn4448LcwsBAAhYpxdJO9TMTvcYr6BDjG3RNXf1DNzZyZyzspmnZdVU0NlZsM5OCZmZQe7MzgEODIXMkVrs1I3lLLeUr7333lsee+yxPp979NFHzecxNtjnqqp+BR07E892UqF0HCeV7uJs9BU76ewsrXTH8wCbqexGKoqdpWNjtYmxLT/+AicxtoXX456CSyg0cGdnt5PyMldC0sNGQwAo/2Knzue8//77N/i8fk6/pjo6OmTcuHGFuYUAAATMdqJlE2NbbWNsKXYWXbPX2WkXIP2I/gum+3mwGFv7NWZ2Do+7SdzdLa7v65yggYVMjG2KGNuSam9vl9dff91c1KJFi8z7ixcvTkfQnnTSSenjNTFHN4peeOGFsmDBArnxxhvlz3/+s5x33nmB/TcgqHmdfZ/PGrznMjo7S09j8O06tSZIpIud3rkHyiM5goj80oolktLjFXkyxdjWp4vP3B9BWOOb2UlnZ+HFvM5O/T+Nq/UXO22Hp+3s1HPvODM7AaD8Y2x//OMfm5mcTzzxhOyxxx7mc//617/koYcekrlz56Z3Ih944IGFv7UAAARYyMlqZqft7CSqs2TFTjo7y6izc5AYWxYkC0M7OkPeW7O9fBD6VV1miUrIK5KiFF555RU5+OCD0x+ff/755u3JJ58st912myxfvjxd+FSzZs2SBx980BQ3r7vuOpkxY4bcdNNNMmfOnEBuP0rPFjNtcbP/xh2KncGdY9RVRky3rXZ3Kjo7S6vdK5oNdH6R3kjFeXdJ+IuYmYqddd65HjG2wcfY6uvX7ngyvREXw6cbDTUxJe70JqbUeMXOGm+uRLfO7NR0FTNuwk1Y0U5QAECZFjt1Dufs2bPl+uuvl7/97W/mc1tvvbU89dRTss8++5iPf/CDHxT+lgIAEBA7f5MY2/LS7M3SyjSzs6GGBeJym9lp/zbs5gEMp9gZkoQbUjvosbqrXI+Pmkhbqp2lctBBB6VnpWaiBc9M3/Paa68V+ZahXNmNOf1n4NVXsXEn6Hmd42vdcwxibIONTB0oxja9kYpOwpLeHzUVEYlkyNHvjd7m/DsI/bs5Ncp24/GZZ38jdyaWNiTS7XU3V4VC5hxb1fg6O5V+OuGNkqDcDABlWuyMx+Pyb//2b6a7849//GPxbhUAAGWkI58Y2x5ia4qtuWvgzk4bBdjKomRpY2wH+RvpLXayADYcuktc1xeTWbRqptIdoG7kLYCRFWNri58UDoI/x6DYGfRmqsznFzY2lXOL0mjz5gfbomZ/ttuTmZ3BWNOv2LmunWJnIfWk3Bjbbm84hO3q9L+vMzuVbk3Uc3X90Gv6BACU28zOiooK+etf/1q8WwMAQJlxnJR0a1aNL6J2MBR0ymNmJ3POyi/G1n6N7ovhSaQct7NzkM5BSx+N4hq5pQsuWRwPIBi2c7N/LCTzp4NPj5hAZ2eg2rKc2WnjblFc9hwuU4St/35ig0Yw1nXE+n7sPY6hMGx8bf95nZk6OyO60dBLWQEAlGmxUx1zzDFyzz33FOfWAABQZvxxtFnN7PQ6O3VGCkrVdVE5cGcn0X8lYXfwD7T41TfimQWwQnR2xpMpiQwxA0hnBsVtZ2fJbiGAXNliZv8Y23FejG1PwpFYgvOKQDZU9evsJDEimPOL/n8bFjM7S6vddnZWDd3ZOVicO4pjbbtb3Jw5sSZj8RP5c1Ips9FQ/2djbOsydnZ6MbYSNhsNSVYBgDKf2fm5z31OLrvsMnnuuedkt912k7q6uj5f//73v1/I2wcAQKD88wWroznE2FLsLLqWdNdFhs5OZnYGstN/sLm2zNUqDF1o0eWUbu9tNsXOkLdIA2Bkxdj6oyJ1Vl5VPZO/SmW9V+yc0K/YqZ2GiaQjUd8iN0oQYzvA+QXnFsE8Vg1V7NQCjybjZJOKg8Lo6kmmX7d+bvI4WbKuK138xPDpv2k7QqLTe9snxtabYWs7OyWkxVFhsyEAlHux8+abb5bx48fL/PnzzcUvFApR7AQAjLoXjrZjM+y9iMkuxpZFl0BndnrdMDYaEKXq7Bx4UcvO86T7Ynh0l7iec8cdZ+jOTi/GVveXU+wEypd9rurfvRYJh8xjZ0dP0hQZmuqrArqFY3dD1fgaNz2iwReZr524E+s2TJVA8WJsB5oRWecVOzm3KA1bVB44Vjgiemqipxw635NiZ+ms9bo4K6Nh2WRirXl/Xb8ZnsifIynRf/0hX0Gz1ouu9Rc+bcRtyDtnp8MZAMq82Llo0aLi3BIAAMpQpxe5mU2ErSLGtnSzVO3crEZvIdKPOWel1dEz9MxOu+DFRoD8acEymXJncfakho6xjXidnbr8orvLAZR7Z+eGj6Fa5LHFTpS+s9NuqKqIhNOFZz3/oNhZHjH5vTG2SXNumM3GRAw/xnagWGHdjFVXGTUzO01hdFxpb99YZrs4m+oq049PFDsL3Nlp0lJCvcXODDM7u7yvuefejJEAgFIjewUAgEHYwkztIB1rmQo6tiMUxaGLvnajrI2W87MdGHR2lnYxcrAYW1sIpdg5vIUWdwKnOzdoqDVd/boep9+hRVIA5ck+VzX0i7H1R9tqlxSCnQtuzzfsZiuUMMZ2wGJn7+c72WhYdO1eZ+dgM9ptAdredygNW9hsqu8tdq6l2FkwWrQ0GwhDIel0MhQ70zM7dU6nuyFRjydZBQDKvLNTLV26VO677z5ZvHix9PT0ffK8+uqrC3XbAAAInC1a1lZk95RJ91ppNHe55x/aZaFxTQN2dnax0FLKWLPBFr9sdzSLX8OL0NKCp5nBqZ1GQ8XYhkJmF7oem2BvOTAiOzvt5+jsLK3mDHPBdSPVspZuip1lNCOyKho2G3v0ubEzlhj0PATDp7ODh0rycL8WM92dKJ017W6M7cS6KtPdqejsLByNo016GwgH6+zUI2KOdoCKJLTwGdgtBoCxKeczwccee0y+8pWvyOabby4LFiyQ7bffXj755BPzwL/rrrsW51YCABAQW5ipyTHGtovd5UXVnI6XyxwjZzs7e5KOiRSu9u4XFIdd0LK7+TOxXZ+xhCNJJ2Vm0SE32p2pBc+w16lZOVRnp4m79aK3WG0BRkCxc8POTlu8odgZ1HlG731CZ2dwMfkDFTFtbKrO9tSIYQQbY2u+5t1XtjCK0rCFzUm+GNv1FDsLRk+j3Rjb3qha/8zOinBIoiZRxZ3bGQmHvc7OAG80AIxBOcfYXnTRRfLDH/5Q3nrrLamurpa//vWvsmTJEjnwwAPl61//enFuJQAAAbFFS2Z2lme8XKYIW1VfGRXb9NZKlG3RdWYxs9P/N2SPR2600Kmbyp1UyMwmiw7V2SkhsyHR7C43e80BlHOMbaYCgo22bee5rKTWe52dxNgGyxbMdHbtQOyoCZIjyiPJw54L2kI1SmOtL8ZWL/7PYfg0jjbhuIvomTo7+8/tDPvGTwAAyrjY+d5778lJJ51k3o9Go9LV1SX19fVy2WWXyc9//vNi3EYAAIKf2ZltsZMY25LGy/k7LvzC4ZApeCq6YUq3+DVYsVOj5mw3J38f+TGFTo2y9QqfQ/XG6q/b7QZ1F2kAlCdibMtLIumkf98TfMVOe87RSrGz5DMi65gJXha0gza7GNve1A+Uxtr2nnSMrV7sxow40R4FYUZC6CzOcHiDmZ0t8aTEkqn03E7t7NT9iNoJqv8DAJRxsbOuri49p3PatGny0Ucfpb+2Zs2awt46AAACZhdOagZZZPEjxrY0bFfFQMVOf5QtC8TF1ZNwTFywsgXmgaLmar2/DxYk82Pmb5rOTnduUGSoGNtQ75xPvYe0yxNAedEu7faegWNs08VOCgcl4+/cbPAVoOnsLD3brTloJ6F37kFnZ/HZDvPB7g/7Ne6P0lrb4c7s1K5Ofayy4R+2Sx3Do+fSPaZVc8OZnc2JpLQlk77OTh05ETKpKsTYAkCZFju1c7Ojo0P22msvefbZZ83njjjiCPnBD34g//Vf/yWnnnqq+RoAAKNJl7cAaYs02XZ2dlPMKar1HTbGNvPMTv8CMR0YxeVfzLJRcgMham54/B2aKa+APJiId7z5n1fwBFBetNBp9yFk6uysr2LjTlBR+VrojPpiCtPFTm+eJ4rfYWs3Dw4aY+udexObWi4xtpE+XbkobWdnU12lSVKxXel2lieGRzcPJkIpM5PT1i+1uKkbCXVWp25C9Hd2mg2HKbcbFABQhsXOn/70p6bYefXVV8uee+6Z/twhhxwid911l2y22WZy8803F/O2AgAQYGdndsVOu+DSSWdnUTV3DR5j659zxgJxcdnFxcpoWCr6za7pr87rvqCzMz+6aKL1TV04yWrpJBQyx9lCJ7vLgfKdSVgZCUt1ho1VvTG2FNhKH5Xfd0OVLXbacxAUV4fvXMEW0AaNsaW4VnQ2mnaw4rPdoGEf21AatqjZVO9G2E6s84qdXhEUw2NSUpyUdHsRthWhkFSEQ2ZcRGVI36akxhvXoTM7dUOinq0nOPkGgJLKLpPPF3u1+eab94m0nTt3bnFuGQAAZcAWZQZbZPGzC5VdFHOKynZVjPcWHgft7GSBOPBd/hvOtGUBLN9d5alUSJLimHis7OjxNsrW9IMW+VYCKNS8Tv/n2bhT+vSICf02VNl4fGJsS1tYq4iEpCo68Hk4nZ2l05ZVjC0pHqWm67Vr2r0YW6/IaYuda+nsLFxnZyolMW9t3EbYaqdnJBQyb/t0dnoF0jidnQBQvjM7h4rKAgBgtLFFy9ocZ3bGEo4k2clZ9Ii5wTo76YYp7WJkNhsC6ujsLEBnp7vY4hYuh2bP3nV3OQ9JQPmxz1FDFTvtYy1Kd47ROEBnZ0sX90W5zOv0f51zi+IX1Gy37eAxtt5jFsXnktF/+/ra087sNG+9YiczOwtDX9drQTPmnUzXeYVN3VAYDYdMgkrvzE7HnH/r5+IphkgAQCll3dmpttpqqyELnuvWrRvubQIAoGzYXeK2iDkUf1G0O55Mv+BHcSLmBpvZaTsw6IYpLtulWZfFhgBmdhags1M7NZ3sdyzaIqeJsmV3OVDGnZ2ZN+/Yz7Nxp/TnGP07O22xk1ngpd5MFc3q3JsNAcXVHe/dyDlYjK29vzjXK/28Tn29av8e0p2dxNgWhDurMyXdehKuv2tb7EylTNqKrpT3xtj2fo4YWwAorZxWYHVGZ2NjY/FuDQAAZdvZmV2xsyraW4LoothZFp2dLEoWl13Myubfuv070r8N5E7nAmlnhc4L0sisXIqk7gVAubFR68TYlo/mAaLyezs7Oa8oBTvzcajOTpss0UlxrajaYu6/ez39qB1kE+g4ip0lt7Yj1qfA6e/stLM8MTwaR6tly3SMrdfFqcVM7fKMhESq/DG2IWJsASAIOa3AfvOb35TJkycX79YAAFBmbCSWnTU4lHA4JNUVYbP7mbmdxZ/ZOaFfxJxfQ7obhsWWYmr3ZnZmV+y0C2D8beRDOzPDoZBZONG32dBlF+3EoLMTGJkzO22hxxZ+UHw29nH8ADG22kGYSDoS9Ra2EWyMbfrcgvPuorLnbnWVUfN6ZyD2fJDz79Kx3ZuTvAhbNYFiZ0H1OLptMCSdXmdn78zOlCl0RkMhqQr1jbHVXtAeOjsBoKSyPjtnXicAYCzqjOc2s9N/LN1rxaGdbdl1dnpxc0T/lSjGNpuZnV73BXOc8qJRWXpGrgsn2Z7Ea1HUnfGpSy4ARmqMrc6/c1g0LYmBzjFsPL5qpZBTNjG26c5Ozi3KpNPWFp+5P4Ls7EzH2Hpfw/CYoqWmq/Qrduq5ub6v59tVNsbW6+zUM+8EZ98AUJ7FTl1YBABgrOnyXqhnG2Prn+9JZ2fxFr/szCDbZZFJQ40XY8uCZFksRqoabyOA7ZhGbuKOSEhSprMz2xhbU+y0szuLfgsB5KotyxhbfTmuBU+UcmZn387Oikg4XeghyrZ05xeDzYdUdaRGlPh8b/DXRPZvhPujdNZ63ZtN9VXpzzXVue/T2VkYPSnHxNJqIdMfY6uvSLXYGQ2JVKRndjpmsV23KPKSBwBKK+s2Fcd7QAcAYCzJNcZWaYyt/3tRnFla+nuuHmxmEDG2ZRUzp+jsHJ6EmbwZMrvIB0mQ60MfjeKOflfILNIAKNPOzgEeQ3UWeEUkJPFkynRW2Yh2FP88ozFDeoRustKiD8XOEp5fDJGuYotvzIgsVfG5Iqv7wx6P0sXY2jmd/s5Oip2F23Co5csu72Tadnbq6XhVWIudIanwNiKaY0J65s3MTgAotUCHTDz99NNy1FFHyfTp001M7j333LNBN+kll1wi06ZNk5qaGjn00EPlgw8+6HPMunXr5IQTTpCGhgYZP368nHbaadLe3t7nmDfffFP2339/qa6ulpkzZ8qVV165wW25++67ZZtttjHH7LDDDvLQQw/lfFsAAKOP7c6syyPGtpsY26KwC4zjawae1+nvhmllQbKo7M79bLqfa9ntPyxJk6CVMm+z7ezU4+xCi3Z3AijXzs7MBQR9nczmnWCKnZnmgtsoW4qdxdeWZXIEMztLoz3mPVYNcX+Mq3L/RnoSjrmg+GxBs8k3s9O+v74zTgR6Aei5dCrkdm36i536m9UiZ3VYZ3aG0scmzO88ZGZ9AgDGSLGzo6NDdtppJ7nhhhsyfl2Lkr/85S9l7ty58tJLL0ldXZ3MmTNHuru708doofOdd96RRx99VB544AFTQP3ud7+b/npra6scdthhsummm8r8+fPlF7/4hVx66aXy29/+Nn3M888/L8cff7wplL722mtyzDHHmMvbb7+d020BAIw+tjszrxhbip1FXYQcbF6nst0vdiEZxdGRQ4yt/Tui6zk/2qGpSyeOxtia/eJD0w5QM7PTXIp+EwHkPbNz4MdQ+zWez0obYzs+Q1R+oxeRb49BCTo7h4qxZWZnSbR7G9WGirH1f51u29JY0x7rE13r36yhoz9aee4YtnjKMZXNdIxtJOyej4dCEtVCZzgskZDb6Zme2+mNkGAsHACMkWLn4YcfLj/72c/kq1/96gZf0yeDa6+9Vi6++GI5+uijZccdd5Tf//73smzZsnQH6HvvvSfz5s2Tm266Sfbcc0/Zb7/95Fe/+pX86U9/MsepO+64Q3p6euSWW26R7bbbTr75zW/K97//fbn66qvTP+u6666TL33pS3LBBRfItttuK5dffrnsuuuucv3112d9WwAAo4/ugrUFy5xibCnoFFVzV8+Q8zpVg10cjiXY0VxEHT3Zx9j2FjtZ/MpH0uvNzCnGNhRKf49eAJRrsXPg5zT7+Go73VA82olmOwQzdXbacw9SI4rPpkDUD1FcS3d2khpRVBqjreq9zs2BRCNhE79tvofHrJJ2dk70dXZWRsPpjTJ2pifyo2vC7kgIkQ5fZ6dJWhE3vrY6HBZ9BNIOT6UdoJrMoOfe9HYCwBgpdg5m0aJFsmLFChMXazU2Npqi5gsvvGA+1rcaXfv5z38+fYweHw6HTfelPeaAAw6QysreJ33tyFy4cKGsX78+fYz/59hj7M/J5rZkEovFTGep/wIAGDn8nZm5dHbW0tlZVBrHlFVnp7cgqfUdW5BDsDG2dUTN5c12ZtpFE909nu3Jvi7G6G+cxRag/NiOm+w6O3kuK9WGKl2vznSf2GInMbbF15Zlcc1uBmAjVYlibIfotPXfJ5x/l3Zm5yRfZ6dibmdh6PlzIuW+TcfYhsMmOSUSDrnzOr0iZ40Xb+t2gKbc72OvIQCUTNkWO7W4qKZMmdLn8/qx/Zq+nTx5cp+vR6NRmThxYp9jMl2H/2cMdIz/60PdlkyuuOIKUxS1F50XCgAYOfydmdXRHGJsvaJPNwWdomhJx8sNPrNTd5VXeBWhVhaIix8zl0NnZxeLXznThRJdK9F95aazM8vvC0vI7EjXor8WTAGMxBhbYtlLHZWvRc1whhZ6ip1BxOQP1dnZm6hCkkfxN7cNdX+4x9huW873ik3P8TJ1dvqLnbYYivyYzYaObjp00hsH3c7OlERDIut6EunZnDVh9wy9Uzs7zTm7fg+PSwAgY73YORpcdNFF0tLSkr4sWbIk6JsEAMhBl1es1BmcmRa8BlLtdXYSYxvszE6NDmKBuPjac5nZmV784m8jnwhb7dBML5iEsp/Zab+PYidQfuzz02AxtuO8x04bI4lSnGNk3lBFsbP8YvL95x+dpKoE3mnrHuM9ZnG+V3Qab97jdRs2ecVNy35MZ+fw6Dl0QlIS8zZTaIFTOzn1/Fq7Op2Qe47u7+zs9mJvTSILp98AUDJlW+ycOnWqebty5co+n9eP7df07apVq/p8PZFIyLp16/ock+k6/D9joGP8Xx/qtmRSVVUlDQ0NfS4AgJGjM57IOcLWfzwxtsXR7C0wNg5R7Owzt5MF4qKxRf2sdvozs3OYnZ3aoekunmRLi51uodON4AJQPvTv2W4Ysc9XmRBjWzrrbXrEAOcYFDuDmBEZHTLJw+5J7KSTsOgxtvU5xNiyQaP4bNemnmPbDbcbxtjGArlto4U5h5aUKWCquoj7e9YY24qQSFXIXVrXxyE7s1M7OzXiNu74NioCAMZusXPWrFmmkPjYY4+lP6czL3UW5957720+1rfNzc0yf/789DGPP/64OI5j5mnaY55++mmJx3tfjDz66KOy9dZby4QJE9LH+H+OPcb+nGxuCwBg9BZxbCxttrQTVHVT7Cxu18UQMbb+TplWFiVLEDM39OKX/Vui6zl3ulCijZm6czyXJRP9jWtHp36P3XUOoDzo/GLb8TFoZycpBSXTkj7HqBh0HjjFzvJJjtAkjzpmghedTeWozyrG1j2GGNvis4XMpvq+8zrVRG+G57oOHq+Gw2wadERiXkKKzusUr2uzIhSWaDgkOjklImGp9r7W7ThmwT3ujZIAAIyBYmd7e7u8/vrr5qIWLVpk3l+8eLE5YT333HPlZz/7mdx3333y1ltvyUknnSTTp0+XY445xhy/7bbbype+9CU544wz5OWXX5bnnntOzjnnHPnmN79pjlPf+ta3pLKyUk477TR555135K677pLrrrtOzj///PTt+I//+A+ZN2+eXHXVVbJgwQK59NJL5ZVXXjHXpbK5LQCA0RtjW+ctoGSrt6DDC/xiaOkavOvCr6GGbpiSLUZm8Xdij4klHEl4kVvIYV6QRmHlujs8FHJnfaY0govfOVBObPFSF0qrKwZ+aW47qTSuEKXp7JwwQIytjbdt6eK+KNX5RTYzwZkRWXz28SebGFt7f9j7EMWzxuvsbOo3r9N8js7OgtBiZdxJSdzbNVijlU2vs7MyHDJRtqbgGQ5Jlb+zMxQyxU7OvgGgdHJbvS0wLSgefPDB6Y9tAfLkk0+W2267TS688ELp6OiQ7373u6aDc7/99jNFyerq6vT33HHHHaYoecghh0g4HJbjjjtOfvnLX6a/3tjYKI888oicffbZsttuu8mkSZPkkksuMddp7bPPPnLnnXfKxRdfLP/3//5f+dznPif33HOPbL/99uljsrktAIDRZbidnV2aW4MidnYOvdgyzluQaaUbpii0YKmFy+xndkb6zNVq8ObaYGg9TsrM7XSclERyCrJVIVMsZWYQUF7sRhyNqdUNtgMhxrZ8ovJtjC2JEcWlz3X2PDyb2FR7fkGxsxRJHkO/LrKPWdwfxWfncfaf1+mPsV3LzM5h0Vc6PeJILOW+5qn1Xr/os7Y+dZsZnqGwRCQlVenOTj1fF0k6OkqCE3AAGBPFzoMOOsjsMh+IvuC77LLLzGUgEydONIXKwey4447yzDPPDHrM17/+dXMZzm0BAIwutjMz15mdtjhqO0MR4MxOOjuLyh8Xl83iV2UkbHY96wt//ftoGCS2EX11JJPuznJvYSUXengq5EZpASi/zs7BImz9XyfGtviah+jsZGZnaXT40lGy6uz0kiOIyS8eO3/TbiQcTJ13f9DZWXxr270YWy+yNvPMToqdw6HFSu3sjHm7Bm2x09Ez7JTG14akMhSScMh9azs7w+GQ9CSZ2AkApcR2egAABmAXTGrz7uzkBX6h6SYpO09roIXIjDM7WSAuCrtjvyISkqro0H8nunnM/j2x2z836+JJqY6EpcdxTFxWLnRip/7tsLMcKC+tvs7OwYwjErLk6REThujs1PsiThx70dh/6xoNWRUdetkqfW7BCImiSccKZ9FpS4xt6diuzYkZYmwpdhaGPtIn/cVO7d5MpbzOzpAbZasxtiLpGNsuM7MzJPoXQLIKAJQOxU4AAIaMsc1vZiednYXXFU+aHbLZzuy0C8itzNYqcvdz9n8jdXRf5Kw76Uh7Mik1YS125t7ZqXRfuf7lDJaqAiCgTqmhip3E2JZ8ZmfjABuqGnz3FVG2pYhMHTziuX9xrTPGuUWxYoVtITmbJA/bjcvGtuJb255djC3nf/nTYmUi5UbT2s5O/Vjja7Wrsz4aMRsRNcq2wnu86tLOzpDbFZr04m8BAMVHsRMAgAF02UKO16mZLWZ2Fr/jQuNQ7e95MDYmlei/4mj3FhWziZjr331BsTN7HTob1XGkyouizbWzU0/4HSdkYnB5VALKcWZntjG2FA6C7uyMRsLp5zyibIvH/lvP9vzCFjvp7CwOnbNua2VZxdimOzs51yu2tR1ujO2k+g1jbJu8bs+ehNNn9AQk54SUhKSk2+md2Zk0xU63o1PndGqRs8Lr8rSdnbpRQ/9s4tSZAaBkKHYCADBkZ2e+MztZcCnWIqTO68xmp3+6s5MF4iJ3XmT/N1LrHcuCZPY6EkkzE0hnA2mHZjb/9v10hlA85ZhCJ1FaQDnO7By8oGNjI/V4unNKc54xvmbgqHzmdhZfR46bqeqIyC9JF7rOXa+uGHoZ0T5mcX+UrrPTdnH6afKKvb/WE2Wbt4SjoyCkb7FTUub8Wv+la9FT42t1lGdF2NfZac67Q+b7AQClQbETAICizexkB22hNXe5L9THewuNQ2nwjqOzszjsIlYuMbb2WKLmsqOFjXWJpFRFwqarU3eS5/aI5BY7dUe6rrVosRRAeXWv2RSCgdhiaDyZkliC/uxSxNgOFpVvzy0odhZPe46bqey5Bd1rRb4/KiNZbbiq9+43ZnaWbman7eLsr6muqs9xyJ12ZurZc6eehKc7O3VmZ8p0claERKrDOqEzJDVesVMjb/UcXs+745x7A0DJUOwEAGAAduamjWLKFjM7S9BxkcW8TsWcs+Ky3Zn5xdhyn2RDF0vsvE5dMNGFE11OyfWEX0fdagwXm8uBEdjZWalzC+338NhZLN3xZLqYPNh5RmMNMbalK3ZmG2PrnVtQXCvq/TFU5LZVZ4vP3B9Fn6VqOzZtUbM/2/G5zou7Re7ijmOKm+nOzrDO7ExJVMJSqRG24bDZlKj0Y6Wn2+bpRDcqcvINACVDsRMAgEHm06hsZkNmKubQ2VnEGNtB4uX8bLdMKwuSRWFnMeUSY1tnOzvZDJD1vM4ex5HqcEgSKTGLK5Hcap0S8To7zcxOIjCBMpzZOXhBJxwOmYKn+z08nxW7q1NnsA22icfG2HJuUTy2SDbU34ZFZ2dpYmxznaFKZ2dxtXbH0xGpmWJs1QTv8zbuFrnTQqfjOCaa1t/ZqUsEGu1s53XaS9Q7T4/pCImUdoZy7g0ApUKxEwCAAdjd4fnG2GrcXNx7UYQCx9hm2dlpi510whT3bySX7mf798TMzux0JpKmSKmxcbozXLs7vYSsrOnxuihjFmuKdUMB5MzOk86mW8rOwKN4UJr0iMGiOu08Tzo7SxGbmt35hY1NJTWiPGKFbVGUzs7istG0uimgMpp5ebcp3dlJsTNfPamUJFIhsVsparTY6YhUeoVN9+LO7NQNhprGorQTNBVyZ34CAEqDYicAAAOwnWc2ljZb1b5OUI1EQ+G02IXILGd22o4A7bKl8Fx4dhGrLqeZncQ8Z0sja9ckElLtRWNpV6eul+gMzlzY4+NmhzkLLkC5sF2a2XRLEcteynmdg6dHNHobrih2Fr+4Zov82XZ22sQJFOv+yO78295v2mmrUasoDtutOak+c4Rt3xhbip356nFS0uW4jy2arqJFzqSXumBmdZqOTpEqLXjqWkC62KkDJJjZCQClRLETAIAhYmztAkq2qqLhdOcVBZ3ymNmpWCAuZoxtDsXO9G5//jaG0uWkpDPppHeIa7EzleO8TqXfrWuNGoPLcgsw8mJs3WNsUgEFtqA3VNkYW3tOguJtpso+NpWZncXUnt6YkVtnpyLJo3jWtsf6dG8OVuy0XaDInY6T0MKlqvOKm3pGHRa32Km0s9PM69QCqDdvIpZ0TDpLT5KzbwAoFYqdAAAMoKsnvxhbfQFko2yZ21mcGNvGIbourGgknL7/mK1VzMXIXGZ2EjWXLS106gJLlbd7wsnz5F0XY8z368zOAt9GAPlri8Wzj7H1igds3Cme9ekNVYOfYzR4xU46O4s/IzLbzVTM7Cwu+3vNtvisGz91lqH5Xja3FY0tYA40r1MRYzt8OnPTzuvUCFtL/4Xb9BWd9Vylxc5Ub2dnV8rdoqjJKgCA0qDYCQBAgWNs/d9jrwMF7uzMMsZWEf1XPHa3fi7dzzUsSGatI+H+fu3sOLezM/fd4e7MTr1ojG3BbyaAPNnnpYasOjt5LiuXueC2s5NiZwliU3Pt7GQjVVHYx536quzOv/W8xW5uY85w8WNsm4ixLaq4k5KYNwaiNhI2Yyb0zDwqGl/rnqPr24pwyHzOblLUAqn+LejMTwBAaVDsBABgADaCNtfOTn+xk87OwrILi9nG2KoGov/KJmZO2cUv2zmNzHQhZW08md4drhJ5Vip1zcWRlCRTobyKpQCK8zfeG2NbkUOMLY+dxd5QNYFiZ9lspsq+2ElEfrkledjHLPu9KLx1HUPH2DbVU+wcrrhG0TpOutipGwg1tjYadt+qsImxdT9XGfI6Ox3HFEVJsQWA0qHYCQDAAGxXZl2OMzuVjbHtpnutSJ2d2cXY+rthWil2FpxdVGRmZ5HmdTpOn2Kn7iyPeIsqudBHIyeVMgVPOjuB8qCboZLeH2R2MzvdY9q96FsUXnOn7eyszKrYSTx+8WNssy522tQICmvF7bTN4rGqf7ct90nxrPEKmLagmckE7/GMYmf+elKOxLzn69pwWBIpdzG9Urs5faflNeGwVPTv7JSQOX8HAJQGxU4AADJwnFS6KzOvGFuv2EmMbTARc5lma7XSDVO8GNscdvrXpv82uD8G05FMSsw3r1NphFZkgFrnp10x+fOKdemZQn2EtKPTLXgmidICyoLt0NS5dtkkSIxjZmcJZ3bS2VkuxbXsZ3ZGNthEgOBibP33XRvFzqJZ157NzM6q9N9ULMHr0nxSGDRZJV3s1M5OSUnIm9Gpszqt6nDIPKdrnK3qMi2dKXcMBeffAFASFDsBAMjAHz9LjG156I4npTvu5FzstDFadGCUR4ytLYyyEWBw7YmkhHU/uK+TM+445nOZ/GNNq7zc0ikvt3QMcI0hE6OVoRQKIAA2Wl0fP/1/5wNhZmfxtWSZHmGLnTp7Op5pgwkCmNnZexzn3sU737Pdmtmw9x2dncWz1ouxnTTIzM6Gmmi6IEd3Z+70EV7Pn2Op3hhbM1YiJabYaWd2qopw2CSw2FQWjbHV03ZT7AzsvwAAxhaKnQAAZOAvxFRH8+/sZMGlcGwHhe6YzaW41sACcdG0x3KPerbHUuwcmO7+Xh9P9unqVD2mszOU8fjPut0FrOUDRFyamUEmxpblFqAc2LSBbCJsVb2d2UnhoGjWezG2Q83stOcVio1UxWGj7rONTa2Khs18atXJ30jRis/ZPl6pOqKFi25t+9AxtrqZZoLX+WmPR/a0rpmQlHT7OztTKVPkrIiE+hY7dY5nSMzsTqVpK7rorsVOGs4BoDQodgIAkEGXV4jRomW4X8Ehp85OCjpFmNdZkVUXTP/OToqdhWejaHPZ6W87pW0ELjakszo7k47URHpP1XVhRRdLMj0crU8kzYxPtaIn88K77inXQyh2lsYNN9wgm222mVRXV8uee+4pL7/88oDH3nbbbeYxzX/R78PoZp+T7HNU9p2dFNeKpdkrXDYOUeyMRsLpWGGibIszSqIjx/MLfdy03Z3acYtiddpmn6xiC9V2YxwKS+Oa7QaNwWJsVZP3dTo7c6fz7hNJ38xO7ezUYqfG2IbCfV6TagetXvydnVEJucVOejsBoCQodgIAkEFnPJF3hK2qqXBf4NPZWTj2Bf1Qi5ADLRC3skBc8MVI252Z7UwtVesdS2fnwDq9RZVK3wKKFjs1QCtTZ+dnvn/bK2OJAQuaWvDsIXGx6O666y45//zz5Sc/+Ym8+uqrstNOO8mcOXNk1apVA35PQ0ODLF++PH359NNPS3qbUXq2aJltpxQxtsWlHfLN6c7OwQsH/nngFDsLrzOeFPs0lkuSRx2dhCWYoUqMbbnQxyvbLThxiMcsWwy1r6WQPf0d92iMrUbS6uuYcG9nZ41X1LT0c5WhsFR7nzadnaGQxB06OwGgVCh2AgCQgS3E2A7NXNVUejs6KegUpbMzF3ZBkm6YwvJ3Zua2GOn+TfUkHGadDTavM+R2qli6sKK7+DP1NC+L9S5exb0I3P70ESkiIVmfSLizhlA0V199tZxxxhlyyimnyOzZs2Xu3LlSW1srt9xyy4Dfo/f11KlT05cpU6YM+jNisZi0trb2uWBksUVLfyTqYMZ5HVXtFDuLdt4X18FsWc4Ft3M7bTcoCscWx/R50I6FyGUmOMW1wrOPO/ZxKBu2MGoLpSgs26Wpj1fabZ5NsZMY29xpR6aeW/tjbFPe41N1pO9ZuW5IrIpoEdRLeHJ0/IQ7hoJXPABQGhQ7AQDIwBYp8+/sZGZnobV02Rf1Q3dc+NmF5NYuFluKsSFAX+zrrKxs+TcQ0N2ZubtoXTwp1f3yahMmglYkOkRn50BRtrqzXK9Su0Zbk/zei6Wnp0fmz58vhx56aPpz4XDYfPzCCy8M+H3t7e2y6aabysyZM+Xoo4+Wd955Z9Cfc8UVV0hjY2P6ot+HkdrZSYxtObAdT5XRcFYFNlvsZGZnMbsIozmNLahjJnhRaISnfT2TS2enTf2g2Fkca+y8ziEibP3FTmJs8+zsdJLS7W3QtCMmIuGQibLt39mp0bZV3ue1SKrfpZsV9fweAFB8FDsBAMjALpTUegsnuarxvo/OzjLo7LQzO2MsSJbDYmRlJGzm2Sj+Pjakxcj+8zptsTMpmTs7P/P+bU/wFuhXxDIXO3XBRSNuW7yYbhTemjVrJJlMbtCZqR+vWLEi4/dsvfXWpuvz3nvvlT/84Q/iOI7ss88+snTp0gF/zkUXXSQtLS3py5IlSwr+34JSzezMLcZW5xHqwimCnQtui53E2BazizC3c3BmgheHfwaqncOZDWJsi8sWLpvqq4Y8Nt3ZSbEzZ3re3J3Uc3BJd3aqaCq0wQbEqHajR8JS4yuCxlOOKXryrA0ApZHfCi4AAKPcqrbuPotZuaKzs/BsVFy+MzuZc1ZYdvEqlwhbpYvIuiDZ2p1gQTKDTseRHp3X2W8OUFsyIYlUKl0otjoSSWlJuI8zu46rlcfWtWUuduqCi5OS2mhEVscTMtPZ8LoQjL333ttcLC10brvttvKb3/xGLr/88ozfU1VVZS4YO8VOf5FBN5vke36CwYud2czr7FPs9L4PhT+/yGUeuP/4zhjn3sXY3Kab1aqiuc/spLOzONZ2xLLu7LTHrPO+B9nTR5PWpPtvWP/1V3jn1NrVqZ2cG7zGiYTNBkNNaNHoW90rUBkixhYASoXOTgAAMnj7sxbzdvb0hry+v6aCmZ3F67rILcbWRgQSNVdYHbH8o55txzQLkhtq9eZ1+mn01YruuFT3K4D6uzonVURlU+9vY0WGIrLOEdKd5fWRsHQkHGkjyrYoJk2aJJFIRFauXNnn8/qxzuLMRkVFheyyyy7y4YcfFulWoryKndkVLbXIoBGr7vfyfFZozemo/OzuD7vxis7OwmsbZrGT4lpxOm1zibB1j+f+KEmMbX02Mbbu5ihibHPXlUhKhxdhq4VMR0Lmf9UZip1KY2y149Oes2tnp46DTjiUOwGgFCh2AgCQwVtesXPHjRvz+n5bzKGzsxgzO3OMsa3p7exkXkrwnZ2q1lsw66Szc4OorPUZ5nW2Jh1pjielPhIZcF7n9OoKmVrl/m2s6olLst+/db1K7QzVaybKtngqKytlt912k8ceeyz9OY2l1Y/93ZuD0Rjct956S6ZNm1bEW4rymdkZzXkGNUkFhbfebqjKtthJjG3Rzy9y+dtQdd7mK84tCssWK3OJsDXHE2NbVLZL0xYyB0OMbf70vLzHO6fWiFo9l9aT6apwJGNCSnUkZD5f6X0t5mhXZ8oUPAEAxUexEwCAfmKJpCxc0Wbe3z7PYme1t+BCZ2cROjtzjrF1j084KYrPBWQjaHPtvDDfYzs7+fvooyvpmEv/eZ3N8YTEUo5URTZcVPks5i5cbVxVIeOjEakKhcyCypp+i70aqaXrLFoEdaNskxsURFEY559/vvzud7+T22+/Xd577z0566yzpKOjQ0455RTz9ZNOOsnM3LQuu+wyeeSRR+Tjjz+WV199Vb797W/Lp59+KqeffnqA/xUot85ORSxk8TR7RYBsY2wbKHYWP8bWO1fIdaOhf8YkCljs9DZUZcueH9okEBTWWq+zc1IWnZ22+3M9xc6c6GvH5mTSjJewnZ1242B1JJyxs1PjbfVcvMoWO715nfY6AADFxcxOAAD60UJnPJkyRbUZE2qGNbOzk+JawYuduc4p053++npTX2Pq4rJdDEOhYmzz6Oz0NgMws7MvjcnqP69TuzB1BmdNhghbf4zt9KoKU9CcUlUhi7t7ZEVP3Lxv6Xf3aIxWSkyUrRZDNTJ3QgV/D4X2jW98Q1avXi2XXHKJrFixQnbeeWeZN2+eTJkyxXx98eLFEvbdn+vXr5czzjjDHDthwgTTGfr888/L7NmzA/yvQLG1eX+7uXSv2cIoMbbBzwWns7McY2y9c282AxQpySO3GFs2ZxSX7dK0XZuDscfo41zSSUmEme1Z6XIc6UgmTXemqg2HzYZC/e3VRELmvLs/jbCtCIelyjvP07mdJsbWlDwBAMXG6gYAAANE2O6wcaOEMryIyaWY083u8oKxC4rjs+y6sPQ+1AVi/X6d2zmlobpIt3BsyXfxy//3QWdnX1p87P+Q05rQCNuENEY3PG2POU66g3PjavfvYmpV1C12xuKy07jeY8MSklRKg7RSEgnpYk1KWuMJip1Fcs4555hLJk8++WSfj6+55hpzwRjt7MyhoGMLo8TYFt76ztw6O8dT7Cy7GFs6O4s7szPXsQX+GFsdI5HvaypktrbdjbFtyiLG1j5eaaCHPtZNqh/6eyDSmXTMBugeb96mdnbq+bNG1A60CVG7PbW7s9r79x7TSmfKTVYBABQfMbYAAPTz1tLeYme+qr3OTmJTC6fZW4i0L9jzmdvZygJxwdid+vnE2NZ630P3hfTp4GxOJDeIsF0fj5tZQZUZImyXx+Jmn/i4SFgaou5jztRK9+9jRb/frW7i1/UWOzOojihbYMTG2FLsLLwWG5Vfk1tnp26iQnGKa7ZTM1t28xUzIovTaVufw2OV//7TKNBYwi0WoXDWdWQfYxuNhNNjQOz3YWjtyaSkQlr07I2x1fPmqISlZoDuWO3srJTemZ3djiOO93cAACg+ip0AAAzQ2bnjjPyLnekYW3aXF0Rrdzy9Uz/brgu/cV6cJ9F/hdM5rJmdNsaWvw//7nG9+BdPdEFleSxhFlcy+cz792y7OtVU79+6xtj6mShnSZkYW1UXDkt7IiltCe4DoNS0y8k+H+UXY0sxp1idndmmR9hip42/ReG0ezH5uc6IpLOzvJI86nxjDoiyLaxE0pH13gaNbGJs/cfZWZ8Y+nm6OZ6UilBYOp1kn5mdugFRo2oHKnZWRXpndmqxU1NV+AsAgNKg2AkAgE93PGlmdqrth9HZmY6xpbOzIJ5cuNq83XJyfdbztPzsYjKdnYVfjKzLa2an+z1dLEgaOg9IuzR7Uk6feZ0tiaS0JhJSH8m8wLjMm/m3sW9B2BY7Nd427ttFHvG6R/WiouGQJEWjbLkPgFLTLieNxsu92Gk7OymwFZotWtrup2yLnbqpLZ6ka60simvM7CwKW6jMNcY2HA71zmjnPimodd7mDK2nZbtBo8krdtLZmZ0uJ2VmdlaE3LmbdmanPYfWqNpM9PM6r7M6PbPTK3ameJ4AABnrxc5LL73U5Pr7L9tss036693d3XL22WdLU1OT1NfXy3HHHScrV67scx2LFy+WI488Umpra2Xy5MlywQUXSCKR2GBuzq677ipVVVWy5ZZbym233bbBbbnhhhtks802k+rqatlzzz3l5ZdfLuJ/OQAgKFro1JgZ3f268fiavK+nprI3xlZ3hmJ4HnlnhXl72OwpeX1/g7coyQJx4diFq1xj5lR68cvrDh2rupKOfNLZLa+3dsmn3TGZ2G8u5/qehNlBPtCCymfd7oLVdF+0nEba6mKMPuqs8nd3hkLmc/7YWj1uVTxBlC0QQFqB0pFedZW5Fzvpkiq8Zq9LKtv0CHteoZjbWR4x+XR2FoftJM8nycMWSHnMKixbsNTHq8gA54gDdXau63BnfWJwmraiszp1k6Cer9vOTq17Rr0OzkwioZBUa2enl8rSldSNhhpjW9KbDwBjVlkXO9V2220ny5cvT1+effbZ9NfOO+88uf/+++Xuu++Wp556SpYtWybHHnts+uvJZNIUOnt6euT555+X22+/3RQyL7nkkvQxixYtMsccfPDB8vrrr8u5554rp59+ujz88MPpY+666y45//zz5Sc/+Ym8+uqrstNOO8mcOXNk1apVJfxNAABK4U0vwla7OnWTzXBndiadlPSw439YYolkurPzsO2m5nUd6c7OLhZbyiLGNj2zc2wuSHYnHVncFZPX2zrlw86Y2TU+vapSqn1xtbrpQqNo+8/w7BNx6xUzN67qXZzXx62p3u93hdf52StkiqdWXSRClC0QYPFACwHa/ZR7ZyfPZYXkOKneueBZdnZqgWGc91hLsbM8OgnTnZ1jfCNV8Tpt8y92dozR871isVG0TVnM67Qm1lWZt+s6eLzKRmdCNyxryopjujNVbdjdOFgdjkjFIOsE4yIRqfae27U7NOQVTwEAxVf2xc5oNCpTp05NXyZNmmQ+39LSIjfffLNcffXV8oUvfEF22203ufXWW01R88UXXzTHPPLII/Luu+/KH/7wB9l5553l8MMPl8svv9x0aWoBVM2dO1dmzZolV111lWy77bZyzjnnyNe+9jW55ppr0rdBf8YZZ5whp5xyisyePdt8j3aK3nLLLQH9VgAAxfL2UrfYucPGDcO6Htu5prp7eHEzHC98tNYsfE1pqJId84wWbkjPOeMFftCdF31m2o6xCFXdIa7dmG+0dcr7Hd3mRHxaVYXURzfsjm01EbZJs2CSycpYXDQFUxdTJnq/zw3ndvZd8NXFFv+jkcZwJYiyBUrOFivtc1PuMzt5LiuktljCdN7442lz6e6k2FkexTV7PkJkanHO93KJ3O5/n7RvsPkKw7HW6+zMdl5n3xhbOjuz0ZxImi7NtfGExLwnCB01oefSeu49UGenqov0xthqsVOPbU6QpAIApVD2xc4PPvhApk+fLptvvrmccMIJJpZWzZ8/X+LxuBx66KHpYzXidpNNNpEXXnjBfKxvd9hhB5kypTfyTjsyW1tb5Z133kkf478Oe4y9Di2K6s/yHxMOh83H9piBxGIx87P8FwBAeXvL6+zcYePxw7qeikjYFBJslC3y98i7bkT9F2dPyakDxq+BbpiCs7v0c52pNdbmasUcR1riCVlmipxd8l57lyk4apFzXDQyYAe5Lq7oooh9HBloXqdeT7jfdUyp9Iqd/RYXdWZQ/4UWjbJdTZQtUFK2WJlr8cAWf3guK6wWL8JWN+LYZI5s2MIoxc7y2ExVZ2Ns6SIsqPZhxNja8z075x2FsbbdLVg21bvdmtmY4BU7baEUg5+7tycds6mwM5lMz+zUWZy6iK6FzIFGTKjqSETGhb2RNklHKsMh09lJdycAjPFip87G1NjZefPmya9//WsTObv//vtLW1ubrFixQiorK2X8+L6L0VrY1K8pfesvdNqv268NdowWJru6umTNmjUmDjfTMfY6BnLFFVdIY2Nj+jJz5sxh/DYAAMXWHU/K+yvbzPs7zMivgzBj9xpxWsOKlnvUK3YeNju/CFt/N4ydk4bhs/M263KYN7fhXK3EqOvc1G5M7bpc1Nktr7V2yPyWTnm1tVPebe+SuOOYrsvGQYqc6QjbWNzEzA7ks9iGEbYbdnZu+O+9f1FTf4bG2GqcLYDSsMXKXIudxNgWx3ovwnZClhG2/YudrRQ7ixNjm+Pfh01V0U2GOkYCwcYK+7+HbtvizOyclFdnJ8XOoWiBUgue8ZRboIx7585VkZCkQiI1kZDp+hyIRtyO88ZQaKE0IiGJOymKnQBQArmfrZSQxs5aO+64oyl+brrppvLnP/9ZampqpNxddNFFZtanpQVUCp4AUL4WrGgzRQZ9MTi9sXrY11dTGTHRaHR25u+1Jc2yui1m5mLttXlT3tfTUMMCcaHZhat8dvqnFyR7Rsffhi6ILO7qkTUadaU7wSUlGnSlO7l19/e4aHTQRZFM0VlagJw0SCFZ43DVxhliMO3MzvVx3Y3upKO09P8T/dZZKrwo25ZEUhoryvqlATAKOzvzjLElErKgmr1iZWNt9oUDczydnQWXSqWGHWOr9Nw7n+IcChtjS7GzONZ4MzvtHM5s2Mhbip1D06Kk7pfQ83E7617PofVfs57NazLLYPScv8Hb9KzfHUs55m1LPClTvA2JAIAx2NnZn3ZxbrXVVvLhhx+a+Z0aMdvc3NznmJUrV5qvKX2rH/f/uv3aYMc0NDSYgqrOCI1EIhmPsdcxkKqqKnM9/gsAoHy9tdR9Ttl+48ZBu65yKXbajlHk55F33RSFg7eZLJXR8PA7O1mQLBgbE5dfsdN2do78v43meELeaeuST7tiEg2JNFVGZVpVpVnMmFARlZpIOKdCp1rbEzeLIgNF2OpisI2x3TjDool2azZ4O8q1y9SqCIczzgwyUbY9OrOOThignDs7iWQvjuY8OzvHe8fbGFwMnxYpbVNmrsXKqmhY7NPmWIjJHwmb23pndnJ/FCfGtjLnYicxtkNrMzsDU7I+rtsBXXo+r69atEtTZ3IOpiIkUheNSMR7POp29BxcpDnJ2AgAKLYRVexsb2+Xjz76SKZNmya77babVFRUyGOPPZb++sKFC81Mz7333tt8rG/feustWbVqVfqYRx991BQdZ8+enT7Gfx32GHsdGpWrP8t/jOM45mN7DABgdM3r3LEAEbZ9Y2xHfkEnCFrQeeQdL8J2u75x8rlqsN0wLBAXhHax2AjafHb6j4aZnbpYsaQrJm+3dZnoWo2O1SJjroXN/jTqVuNn6wYp7q8zHZsps4gy0A7xdJSt73es8blrehLmkinKVi8Aiq81z2KnjfXUGXr6HInCaPaKlbZ4mS06OwvPFsX0qdSmQGRLNypSXCs8TakZboytnfuJwrDdmTaaNhu2MLq+o4fnjyHO73VjoEbX2g5PVavFzlTKpLbo5sHB6GbFKi/dRcWcpFSGwiYelyhbABjDxc4f/vCH8tRTT8knn3wizz//vHz1q181XZbHH3+8mYF52mmnmZjYJ554QubPny+nnHKKKUDutdde5vsPO+wwU9Q88cQT5Y033pCHH35YLr74Yjn77LNN16U688wz5eOPP5YLL7xQFixYIDfeeKOJyT3vvPPSt0N/xu9+9zu5/fbb5b333pOzzjpLOjo6zM8DAIweby5tSXd2FkLNKIvqLLWPVrfLojUdUhkJy4FbbTSs67ILyszsLIyH314huk7yucn1OS20WHYBs3OEdj3rQsX7Hd3yfme3WfSYXFUh4QJ0g9vo2faEM+iu8c9i7iLX1MqKAYurmeZ26uKLdr0s6Y716eLUKFu9JzTKFkD5x9hq5H53nAXTQs/sHJ9jjG2DV+y0MbgYPlsUq6uM5pWyot+n2GhYGD0Jx1zUuDziN23xebTNaA+a7c5sqs89xlafP+yGG2Q+x9cREDpjUyNsY975sqagaJ2yOhI2MzkHo1+vCoel0jtOn667HMdcH8VOACiush5isHTpUlPYXLt2rWy00Uay3377yYsvvmjeV9dcc42Ew2E57rjjJBaLyZw5c0yx0tLC6AMPPGCKk1oEraurk5NPPlkuu+yy9DGzZs2SBx980BQ3r7vuOpkxY4bcdNNN5rqsb3zjG7J69Wq55JJLZMWKFbLzzjvLvHnzZMqU4XWZAADKh0bNfrCqvSidnczszM/DXlfnPls25bwgPFCxk87OwrjvjWXm7dE7T89rMdLG2HZ6UbgjiXZFLuqKSUsiIRtVVJhCYSGtNQuC2rU58PV+5hVKMs3rtKZU2s7OvovwGq2rkbX636FFWqs6HDKfm1FdWbDCLYDCxtjWVUZMx5uuvWrB1G6qQoE6O73iZbbo7CxeRH6+8zZrveQIZkQWhv/3aFM58ursHIHneyMhxtYWMLNRFY2Y+0O7nrUz1D5+oS/tvtT6vm4A1GKlLU5qZ6cWKyvD4QHHTPQtdroXIySyPpGUpoooczsBYCwXO//0pz8N+vXq6mq54YYbzGUgm266qTz00EODXs9BBx0kr7322qDHnHPOOeYCABid3l3eKkknJZPqK2VqQ3Vhi53sLs/LI+96EbazB5+RnUv3hb7A1/s5UuAC1Viyqq1bnv9ojXn/qJ2m53UddV6xsyfpSDzpSMUQs2/Kge6EX9odk0+7eyQsIZlWWVGQ2b5+saQjK+NxqY8OvqD4WXpe58CLXFO9BUb/zE5li7NLuntkUmU0Xdisj0RMbFd70pGGIX4+gGA6O/UxRxertViq0ZKTi3T7xu7Mztw6Oyl2Fl6b95yVT2HNfB+dnQVl44CrK8ISzeNczRY7KT4Xjnba2s5Mfd2aiwl1FV6xMyazJtUV6RaObO3JpMRTjrQkk1IbjfQpdjqSMpsDh+rs1OdqPV67O5WmqXQm3G7R9Ql3budwx14AADIr/5UlAABK4O3PeiNsC1XASMfY0tmZsxUt3fLGkmbTwXLo7OEv5/q7Z5gbNDwPvbnczK/ZaeZ42bQpv4USfzfSSFiQbIkn5L32LvmwM2bmWzblGa83lOaERtgmB42wVcu8GNvpg+wMt7vGW5OOdCT7/o4nVkRlVU9c1sYTfYqgiZT73wqgNJ2dDXnMPGYGdeHZGNrGPGd2tlLsLHxnZ56JHjYmn9jUwrCPM/l22jJDtXix29pdaJ8PsjWxzo29XdvuXgf60lmmzfGkOR/uSjhSEw5Jp+MrdqbEdHYOVexU9ZGwKYyqbiclGobbk0qZiFyibAGgeCh2AgDgm9e5Y4Hmdfqjhd7yrhvZe/Q9t6tzl5njZfK44XfaanRTVdQ97WFu5/Dc60XYfiXPrk5VGQ1LRcRdAOgs4wXJHseRTzq75a22LlkTT5gCoi52FIvGy+pvZbAY2bZEUloTjjlu+iCLXNXhsEzwustX9FtkNN2dKZElXT1mYaf3e0LmNvjneQIoPLvwn2uMrf97bHcohm+9F2NLZ2fwbAdgfZ6dnXQSFpYtGudf7HTvRzYaFs4aL8J2Ql2lhHNMqmnyXptqjC021OWkTHGzx0maLk49H7eFSS18aslS32YzwmJcJCKV3nE6r7MmEpJ18aTEHN2ESLETAIqFYicAAP06OwvluF1npOcbLm/pKtj1jgWPvLPCvD1su+FH2Fo2LpBiZ/6WrOuU1xa7HbdH7ThtWNdl53baLo5yogXA1T1xU+TUbs6qSMgUOosZOaUzglbH4zJuiAjZZV7E36SKaDoeayBTB5jbqcZ73Z268GJpR6kuwOhtAVCKmZ0V+c/Ao3hQMC3pGFtmdgbthY/Wmrczxtfm9f21VeV7bjES2ceZ+jw2Zpjvs/dHGW9sG2lsV6YtXOazEXctxc6MtLDZnUyauZr2HLu32KlDLEJmY2A2rwdqImHzPUrPq2vDEZPeEnNS0krqEwAUDcVOAMCYpzM1P1jVbt7fccb4gl2vxnzuOWuimfV3y7OLCna9o50uGtrFrsNmTynY9TbU2G4YFlzypYV7tffmTTJ5mLNtbdRcuc207UgkZWFHt7zd1mUWOKZWVZjo2mIVVTViVouRizpjZhFkqM7Rz7rdBaqNsyiSTPOibFf0bLgQrwVc7eBc3B1Ld3fqMo7uZKevEyjVzM7hdHbyXFbozs7xeRY7NY5d509j+H8X9jzjuN3cDYO5qvPOLco5NWKkzWkfTmenLZLSaVs4tiuzKcd5neZ76OwcVGfSLUa2O6n0+biNsdX42pA34z4bVZFw+jq6kilz3h1LOWZep53bCQAoPIqdAIAx793lrZJ0UjKpvkqmNLizTArlzAO3MG//+PISdv5n6cmFq0yBeMvJ9bL5RvUFu17bQcMCcf7uL0CEbbnO1dJ/c0u6YvJGW5cs7e4xEbA6m3OwSNlcaVGxK5mUVbG4fNjRLS81d8gL69vllZZ2WdTVbboth/p5n3ldmoPN67SmeN2zmTo71YSKCnNb1rPDHCip1mF0dpJSUFh6/md/l+NzjLFt8IqdinO84bv39WVmzv0WG9XJ7ptNGF5qRJltpBqp/vrqZ+btHrOa8vr+Ou/+YGZn4WNsm7z5m/l0dq6n2JmRzuuMO+65up23adNO9ONQKCQNQySwWNr9qXM7zXV4BVOd9dmu3aPM7QSAoslvexYAAKMwwnbHGY3mRUwhHbT1RrLVlHp5f2W73PnSYjnrILf4iYE98u7Kgnd1qgZvd3krC5J5WbiiTRasaDOzNg/ffngRtqrO6xIoZveF7pru1lhWJ5WeQ+nfR23f117GlbGErOlJyLhoWKZXV+ZVLNUd24mU+3Pdi/t+IpUyiyfr4glp9SKyxIvC0piriTpbM8vHns+8RfmNs7iN2pWq9L9NC639H990l3kinpLPYm5xF0DxxRJJ6Uk4eXdL2U4pigeFoecEtsHGdmpmKxIOmU5b3USlxU7dNIf8/elfi83b4/fYJO/zcTsjspO/j2F7f2WbvLxonfl3fvweM/O6DvsY1x13JJF0JFrEuedjxXA6O4mxHViPztJ0tBCpTwhuYVPZomRlKCRa/xwqgcXSwqYdTWELpvq9rYmkdCbcuZ1Dja4AAOSOYicAYMx7c2nh53Va+kLpuwdsIT+8+w259blFcup+m0kVL2wGXQR+csGqgs/rVA3pzk6Knfm47w13d/+BW02Wxhyj/jKp8YprGv9XsK5JJ2V2S+uiQmsiIa0JR3qclMRTGs6qSxfS+9YsbvcupkbDIlOqojnP5dQi58qeuCzu6pH2ZNIUN/WnOSn703pVh8OmuDkhWpHXQq7+t62Juwu4G2fR2Tm5ssL8F2oEV1vSybgbXbs7l3XHTfG0oUhxvQB6+dMF8il2EmNbWOu9eZ3jqqJSkUchRgukttiJ/L21tEXe/qxVKiNhOdabeT+cjVTtzOwctj+8+Kl5e+i2k2VaY82w7g87R7WxlmJnOczsJMZ2Q1rU7EokpS3R29WptCipKsMhU/DUONtsREMhGe+91rGdnVrsXBVLmPNynQtqNyUCAAqHYicAYMxLd3YWodhpIz//5+GFsqK1W+59bZn8n93z2x09Fjz/0VoTPaZxwoW+P+wCsY0PRG6FxPvfWG7e/8rOw4+w7dPZmeeCpBYVdWFCFyF01mVLImkWE2JmQSEk0ZBbXNROzYpQpOBd21rkXNUTl0+7emRtPC5V4bCZ4xMJidn5Xcj4W2u5V6hvjEakPotNExXhkEyqjMrqnoSJss1U7KyOhGS9dnd2x2Uci5BA0dkipRY6tWMqV2zcKaxmr0iZ7yYeLXYuXd8lLd7cT+Tnzpfdrs4vbT81XZDJBzM7C0NnbP7Ni7D99l6b5n09ldGwKWD36LlaT6Igm+XGOtuV2ZRHJznFzoHpa4h23TDpOFLrbf7TVJa41/qvnZp6rh/N8nlbjx8fjfbp7NTXBrohUrtIm725nblusgQADI4VDQDAmKaLIR+sajPv7zCjOMVOfaGvHZ3qt898LI6Jx0Emj7zjRth+cfYUCeexCJzNbC0WiHP3+pJmWbyu03Rj6g7/Qsh1ZqcWFzX6SYt2C9u75ZWWDnm1tUPebu+UJd090pNKSW04LFMrK2RaVYVsVFlh4qF0B3YhC516O5Z198i/vJ+v3ZxTqirMfE+NhdVFkGIUOnOd12np72OwuZ1Kd56viPVIC/ODgKKzz0F2A06ubDcoMbaF0ex1dk7IcV6nZaNv6ewcXmHtvtc/S0fYDgczOwvjntc/M48xsybVyb5bTBrWddnobb2fMXxrO9yZnflsCrBzPu11oFdrXMdMuPM0q72VctuRqWf1YUmZzkwtYmZDXw/o5kT3enpf++tGTE2e6Uwk012jAIDCodgJABjT3lveKvr6Y6NxVTKlobpoP0cXbzQi7cNV7fK4F9OKvrQI/Gh6XmdhI2yV/v4V0X+5u++NZebtYdtNSS8kFqrYOVSMrRY4tbg5v7VDXm3pkHfaO2V5zF2c1h3T06sqTbFRFxSqI4UtbGYqcprb0dohbcmkiYnVImepdmUv8/67N/Y6u7Ix1ft3v6Jn4IV4jdbVxZ3PutnpDxSbfQ7Kt9hJjG1hNXsdmeOH0dmpKHbm7/43lpnipBbW9tp84rCui5mdhUnz+N8X3AjbE/bcZNibD+19wgaNwsbYTspnZqf3PTpDle7nXtphqZ2WOvrC6DevU8+TkxIyrzM0njZbG3nn4Nodqq8jVF0kYs65W5NO+voBAIVDsRMAMKbZeZ3FirC1xlVXyAleDNRvnv6oqD9rpHptSbOsaY+ZouRemzcV/Pp7Y2xZkMxF0knJA296EbY7FSbCVtmi6VCLLVrs/KSr27w/sSIq06oqZXKV27WpMa3FFku6RUBb5NS4XC1yajxstlFWhaJRs2rjquwXuOw8oBVDLDJOqIia7k6dVQSgFJ2d+RXX7PcRyV4YL328zrydmueGN4qdw/dHL8L2m7vPHPaGJTo7h+/VxetlwYo2qYqG5Wu75T8/1arz7pN2HrMKwkbQTvS6NHONedbEIX/RFG7MrF50I6MWIy1NjlENkbCJn9UY22w7O1WTF2Pr7xKtCospdnZ7czsBAIVFsRMAMKa95c3r3L7IxU51yr6bSUUkJP/6ZL3M/3R90X/eSPPIuyvM24O3mZx+IV6MGNvWLhZbcvHix2tldVvMLOju/7mNCna9dqd/RxYzO3UXtRY3S1lc1KLfRx3d8lJL8EVOlUil0lG0+cTYrozFxfHmDmWi0Vy6EDNUURTA8Ngi5bBjbNm4M2zLW7rkb68tNe9/c4/85qlT7Byed5a1yBtLW8z58XGFKKx5fx9EpubvDy+6xeejdpou4/OMd870mMV9MnxL13emO2Sb8ujs1M0ETV787XovwhtuB6d2dsaSKakJh9Mdzs+sbzfv79pQa5KgasLuuIpsNVZEpcorjtq5ndo1qq9r7M+0HZ8AgMKg2AkAGNPesp2dRZrX6acxuV/dZWPz/m/p7uxDX1DaeZ0alVoMMybUpot3FJuzd9/rboTtETtMLWgR2nZfdJVR94UWA9f2JOStti55qbld3u3oMtFWOgM0qCKnpcVK/U3pQsvEit5d50PR2x0JicRMRNfgv+vxFVFZ1ROXdro7gaKx3TT5d3YSY1sov3t6kcSTKdlz1kTZbdOJw9pIRbEzP396eYl5e9h2U2VSfe6dagPG2BLRmZe17TF50EvzONFLpBkuO7OTGNvhu/afH5i3+2zRJA15PofYWZ9rvQ5RiHQkk2bDXyzlSKWeNIvIoq4eWRaLm07O3Rvd15D1Ob4O0vmcVd5rB9vZaTcYtieT0ppISKfv8wCA4aPYCQAYs3Qh5KPV7o7NHUrQ2am+e8Dm5u0j766Uj72fDTGzTBet6ZDKSFgO2npyUX7G7ptNkCN3nGZ20J59x6smMheDiyWS8o+3bYStW6gvFDuzs6PAC5JasOxMJk3Rckl3TN5r65IX17eb4uXrrZ2ysL1LPumKmWhaLSCu60mYqFwzj7OlQ15uaZfFXd1mLs/GOgu0IiLhEs3kHMxn6a7OygFj/nTXeP8d4jpPVDtSle0MHYjuPk84jukiBVCcWPC7X3GLOzvlucnKLnBT7Bx+FKSNT/33g7fM+3ro7Bzeefg9r31m3j9+900Kcp11NsY2i9QIbOju+UulJ+mY10U7zRxfkOu03bar2jjvHo4PVrbJ3151O9EvmLN13tdji53riLFNb7hdH09KZyIlUek9v/Z3dVaHIxKSkNSHs99sqGojIRN9q/zzObXYqV2kzXHHFFoBAIWTX3YOAACjwLvLWk0kzZSGKpmc56ymXG05eZwcuu1k+ed7q+R3zyySK47dQcai7njSzAR68eN18tLHa828TrXvlk3puKtC0wLRz4/bURYsb5WPVnfI9+58Tf73tD0kGmHv10CeWrjaRC7q38ges/LrehlIXXpmZ/4v8rWwpzulzawdxzFFS42b7U46EnN0uo6ILk/YXdrN8YTp1NTlBv1MynsbDYUlnnLM7m2dC1qKWaC5WmbndQ6wk1//u9bFE+a/Z3p132izqZVRWR6Lm2Ln7PqaktxeABua9/YK+XhNhymQfXOPTYbVJdUVT0oi6fAclqfbnltkfofbb9wgB3xuUt7XQ7Ezf9pB2BZLyCYTa02nWiE3Uul9q5sLImX4fF6uHCcld7z0aUG7OtUuM8eb+/rGJz6UL20/VbbYqL5g1z2WXPXI++Z162Gzp8gum0wYfrGTzk6jy0mZ1w9adKz1Ojf1fPrt9i7z/n4T6s0mQN1nWBfNrdiphc4afQ0S1zmdqT4bEZPibs5sjTsybfhN7QAAD8VOAMCY9aYXYVuqrk7r3w7cwhQ7//rqUjn/i1vJRuOqRuxOWF1M0t3zujtfC09uQ5h96xaT7PvaSamFzRcXrZPXFzebneN+WlA7w+t8LRYtpM799m5y9A3PyQsfr5WrH31fLvzSNkX9mSPZfW+4EbZf3nF6wRcMaypziZpLSZeJmNK3jtkd3RJPSIdGTiVT0pNy/y3pDBx3YSEs47PsyNRO0GRKFx7Ko4NzIJ/Fegad16m70rVQq7NG9XdS5RV41VT9nrYu5nECAT9n3vjkh+b97+yzWd4be/yzPjUWshAz9cYa/b3d9vwn5v2zD9pywG75bIyvtfPAKXbmynbW6rzUcIHOMWwXodJz1GJtoBuNnvpgtSxZ1yUN1VEzr7NQ9PHusfdWmfPus/4wX+45e9/0KANk540lzTLvnRWm4PbDYXR1KmJs+9LXFesTSYk7jjRE3cfz59e3m9ewn6utMqMs9NxaT6trvS7NbOkmSu3i7N/ZqXQ2aIf+7HhcEk5VoKMyAGA04QwDADBmvf2ZLXYWJqYpW5/fdILsssl4eW1xs9z+/CfDftFabNqtcNn978qCFa2mC68jljCXzngyXcjMhxY399q8Sfac1SR7bT5RZk2qG9aCY7Y+N2Wc6fD83h9fkxuf/Mjsjv7i7OLMCR3J9D7+53vuHNWvFHDRy7ILkAtXtJlFnIHi0rQb8dXWTqmKRKTHSZpd7UqLmpXhkDREI1KpsVJ5/tvRAme5ry9oQVbnBqmN+3VtKt1o0OM4sl19jfl9re6Jy+RIRd9ip/4ue1iMB4Ly1Pur5Z1lrabzTBf/81URCUt1RVi6446JsqXYmbs7XvzUpBZsvlGdzNlu6rCui87O/Ohz/6uLm80C/9d2m1Gw662Khs3mLO3q1PMYip3Z+8MLblfn13abmd6QVgjafX7d8TvLl3/5rLy/sl3+v7+/LVf/n51Kcs4/Wlz58ALz9thdZshWU8YN67qa0p2dxAorTYLRrk7dDqiPR/rxSy0d6a5OpZsidUOljrjIhV5ffcT9W+ruN5uzNhKRtkTCdJHq3M6GHCNyAQCZceYHABiz3rTFzhkNJf25+uL+3w7YQs78w3z53xc/lbMO2qLPTvRyoot3J978UroLdiC6eKsLsErXLkK+/9aQ9zldONltkwlugXPzJtmsqTawhQ7dsa4xurc+94mc/+fX5f5z9pPNJtXJaKCzT398z9vSWFshJ+y5iey9eVNev2ctdOpiut5PO+Y5W24we24+0Vz3J2s75Wtzn5eLDt9WTtl3sw1uqy5ArI0nZYuKqIyPVpR192UxaCTvQ2taJOakJBoSmZyhG6I5kZSNKitkSmWFWYzRgqcWQO0u8anezM5VPXETd6vxWQBK68YnPjJvv7XHJjLBW2zOV31VhXTHY8ztzDNG/6ZnF5n3zzpwi2F3FNpiZ3Mnxc58ujoP3XaKTB5XuFESeg6h56T6t6HFTmRnybpOeXzhKvP+CXsVZn6qn97Hvzp+F/nWTS/J31/7THbfbKJ8a8/C/5zR6LkP18hzH66VikhIzj30c8O+vol1bqIQMba9dMyFdmGq+a2dJkmmqSIi29a5j03a9ampMbmOudBz8gbv9bGO2fCrDousTaXMOby+1tHNmwCA4SvPlVUAAIpMF0A+Wt1u3t++xDG2SjsJN59UZ2Z33fWvJXLqfrOkHAudJ3mFzgm1FfJfX93BRO7qIlJdZdQUaOuqIlIdjRQsfqyUtLim/23zP11vCs9///d9C7qTPQhPLFgl3//Ta+kFcJ2RtMVGdfLtvTaVY3edkV6Uzca9ry9Ld3UWoyitEWb3nrOf/Oivb8o/3l4hlz3wrrz48Vr5xdd2MoVaP71XdJFhrEVevtneJfeuapbWhLsb/KCJ4zYoVNquzpnVNaa42VQRNXG2uqjS5BVGJ1REzCJOPJWStfGETPaKnwBK4+VF6+TlT9ZJZSQsp+8//Lh2jZnUaPg2b5YvsveX+UtldVtMpjdWy9E7bzzs67PPqxqZ2pNwpNKb+YbBC85/e3Wpef/4IhS86iqj5jxoODPBx2LxWdNa9t2yqWgzNXWj44VztpYr/rFALr3vHTNGZIcibKYbbeeCVz680Lx/wp6bysyJtcO+zunjq9PPS6vaugu62WAk0lEY5py5Imp+38+ud9cH9h1fn95gGXdS0hCNmuJlLvScfYvaanl8fbv8q6VTDpgwTibZTYuhkLk+jchtiSeZ2wkABcKZOABgTNIoOX1RP7WhOpAXeRqxZRc8r3n0fRNnm+g3y6McCp1veIXOO8/YS47YYZrZib3d9EbTBekWPqMjstCpdEHyhm/tauKcFqxok4vvedu8yB2J9HZf//gHcurt/zILfLttOsF0ddZVRuSj1R3y0/vflb3+32Ny0d/eTMc3D2Zte0yefn+1ef8rOxc+wta/SHzjCbvKZUdvZ4oAj7y7Uo745TPy2uL1MpZppNUtn62V/122zhQ6J1VE5bszJsmXJm24KLg+njBdnbaAqQXPTWoqTVyWxt8qXayZ6nWPa9cngNKyszqP222GTG0c/jmHndtJZ2du9DzrN0+7HbbfPWDzghQmx1X3bh4hyjY7D7213MQIbzy+RvbfclLBr7+2yt24RmdndmKJpPz5lSXm/W/vuWlRf5b+3emGz56kI/9+53xpoSN6UA+/s9KMetCNpmcfvGVBrnO/LSfJ9hs3mL9BfX0w1rXGHXPOrJsq3++MyaqehFSFQrJ7Y12fgmhdNJzu/szFgRPqZXpV1Gw4vHvF+vS5udJ5njrLc02Pm8gCABg+ip0AgDHpLa/gE0RXp3Xsrhub2Z1tsYT85L535MhfPivPf7hGgtbaHZeTbnk5Xei84/S9ZNtppY36LRVddNZYLa3X/vXVpfKnf7mLPSNJeywhZ/3hVfmfR943BXwtcv7xjL1MJ+6L//cQufzo7WSrKfWm6+SPLy+RL//qWfnqjc/Jrc8tkrlPfSSXP/CufP+Pr8m3fveifPHqp2SXyx6R3X72T/OiW+/3LScPbzbQULRr9KS9N5O//fs+smlTrXzW3CVfn/uC3PTMxyO2+JwvjZh9Yl2b/GLRSnmvo9t0tB7aNE5+sNkU2cqL0vLT+yiREtmkujIdWau0ONoYjUqb1xHqj7Jd2BEzPwdAaegGkycXrjbPM2ceOPyuTmULpm43Fn/P2XrgzeWyZF2X2eT0jd03KdjmNVt8ptiZnT+97J5rfXP3mUXZMFfndU7R2ZmdeW+vkDXtPTKloUoOLfIMez3n+5+v7yQzJ9aYv8Uf3P26OBR5MtK5s//ziNvVedp+s8wm00LNUP3vY3c0j12aAPPYeytlLGtPJsVJhUwX5jNeV6cWOv2JMjqzUwugOk4iV3XRiOw3vt4USj/qisnL3jxQW+zUQurqHjfKFgAwfMTYAgBGHY2nvfOlxfLZ+i6za18vVem3EfP2KW8uTTFmEWaruiIid//b3vLHfy2Rqx5ZKAtXtplZNl/abqr8f0duW5CoonwKnSfe/LLZRWwLnbOnj85Cp7XPlpPkgjnbyM/nLZCf3PuObDe9QXacMV5GynzO7/7+FflgVbuZ5XPZ0dvL8Xts0qfj5MS9NzMxtv/6ZL2ZETvv7eXy2uJmcxmM/s0UamE+G7rx4P7v7ScX/e0ts/jyswffM7G2Xz20dLehP114WNOTkNU9bneIRlxpNOy4SLig0b66y/vTrh7528pmWd7jLpZvXlMpX5syQSZXDRw563Z1Rk1np17Hip64VIXC5jbOrK6Qt9u7pFE7l0Ih2by2Sv7V2ikvtXTIR50x+WLTONmloXbMzUAFSu3XT7mdhF/ecbps2lSY2dDnHrqVPLFwtTy2YJWZPV2OUfjlRgsqv37SvS/091XI2HpNKdAuW4qdQ/twVZuJdNZCy9c/P7MoP0NHLNjNYBjaHS+681O/ufsmUlGCkQH69/LrE3aTY3/9vPzzvVXy22c+ljMP3KLoP3ek0ajnD1e1y/jaCjnjgM0Lfs6tBdTfPv2x/Piet03EcL2XADLWuKX2lKzuicuCjm7Rs+J9J/R9rtYyZG00v3P/+mhEGisi8qVJDXL/6hZz2aauWsZXRL3RFCFpSSSk03GEUGcAGL6x+WwGABiVi1hPLFwltz3/iTzzQfbdkUEWO+3u2hP32lSO2nGaibP9w0uLZd47K+Txhavk3w7YXM46aAsTFVuyjk6v0Dl+jBQ6LS3qvbp4vTz67kr57u/nyzf3mGkie3eeOd7MJi1H+u9dOzJ1gXXyuCr59bd3M/G1meiL8z1mTTSX1W2zTVyZzirV+3mj+iqzW3yS99a+P76mouQRxQ3VFXL98bvI3ps3mRmej368Rl68u1122HWKTKuukMqwGyGlO6v7Lzhod1NPKiUdSUe6ko6JhdL3dfFAZ+3oXJyKcMh8v7mE3Vk5+r5elUbHalFTL7bAqd+biX5PU0XEFBVNAdTMyYykb1//n2PnZerP0JmZ6+JJ87659CRlfSJhOjTtLu+jNmqUzzfUDrqool2dutN8k5oq09WpizTjoxFpTzgScxyZUlUhH3f1SLuTkvpISHZrqDW/D+0cXRNPyB9XrJd/rmuTw5oaZKdxNRQ9gSL4eHW7iexU+nxeKNp1f/GR28ol974j//2PBeaxPcikipFAC8O6qWxcVdRsACp08Wbp+i5ppdg5JE2YUF/YZnJBIp0zqfPOm/U+weAWrGhNF5/9m+WKTR+vfvqV7cwGt188vNCcb++1eVPJfv5IiBa+9p8fmPfPOnALc35caOce+jnz/KR/J7rp9idHbSdjmZ3VqYVI3USYlkqZ5JyGSH6vB6vCIYlIWPZqrJM327rk0+4e+evKZjl14yZznl8TDktzIinrexIyraqyUP85ADBmlefqHQAAWdJd9He/ssR0rH26ttN8TtfsD9lmshyw1UYST6bMC8aehJO+xLy3UxqrZf/PbSTlYHxtpfz06O3lW3tuKj+9/x15/qO18qvHP5S7X1kqJ+2zqXmRpcXI9u6EKW616fsx932N6dLZo5tvVCdbbFQvW0x2386YUGsWL3IpdL7uFTrvHEOFTn+s1tHXPyufrO1MLzDo7087PbXwuftmE2S3TScOGiOlBTf9N6fFp2IVCpeu7zQzXm96dpH5d7HrJuNl7rd3k8kN2S0a6u0v1NyfYt0XuhCtEc/feOJdWTO9Rp5I9sgTH6/oPUZnroZDUhkKmbc9TsoUN4sRANUYjcikyqj5mWt7EmZBQguXK3oS5lIo2oeya0OtfHmjRhN5NZR16a7OqCnuqs1qqmVdT0IWx2IyvapSZlRVyPud3VIfqTTFzIMmjpO9x9fJc+vb5cl17aage8fydfLPtVE5bFKDbFVTmIg0AC6NCtfH6UO3nVzwOHjdKKWbu3STjm580c74ct2cEzR9br7hCXdu6rf33tQUJwvJXt+7y1vl4G0mF/S6RxM9X9dNier4PYrT1an0vE2L2794eIE5Hzt9/1kFTWMYTRtFf/vUx+b9L247pWjF54FojPG/Plknf3v1M/neH1+TB7+3X9bnsqOdSShq7jLRwifvs1lRfoZuptWRFyff8rL5uzx6541N0Xks6nEceaXFXUfYf0J9n6/pZsSQ6MbB/LqeNQ43EhLRM/WvT50g13zqjqp4ra3LnPfr17XQuSKWkJk1SfNzeLwCgPzxaggAMCJ9sLJNbn/hE/MC2c7kaaiOyjd2nykn7rWZbNJU+gjYQth66ji54/Q95eF3VpgYT91te+U8d17LYBav6zQ7s/00rndWU50pfmr3XnVlRGorolJTGZaayqjUVETcS2XYFFZtoVN//lgqdPoXK+85e18z00sXX175ZL1ZaHhzaYu53PzsInPcxuNrJBoJSVyL5kktbjq+i9ueV1sZkS0n18vnJo8z8zK3mjLOfKzfm08RVBeknv5gtfzhxU/l8QWrxI430l34l35ltolnHm22m94op+29mVz/6SqJh9x5lraYqf/5MSclMX2vX4VTFxTqwmGzeFAXCZtOycpQ2BQo7UW7Is373luNgJ1Q4RYO9aLFzY0q3LfaremXSKVMfOzaeNIUP7VTUy/N8aTpLLXXaX+GvzdU428nel2g7lv3fe0Q1aKqG2c1NL1u/Tcw0ytOamfoFjVV5vbWREKmc7M1kZQpVZWyuLvHFEPt7KGqcFi+0NQg+4yvl2eb2+WpdW2ysich/7tsnUypjMou42qYAQgUgD5/6DmK+vcibDDRxdArj9tRjvjsGfl4TYeZ/a2bdrChFz5ea85xNJ791H0LH/l70NYbmU1q2h01Y0KNKRqgr9889ZFc8Y8F5v3jdp0hB29dvKLwOV/4nKxsjcldryyR/3roPXlvRav8v6/uYMZHoHfj3A/vfkNe/Nh97aAbK0tNH8N+dsz28s5nrabr+pTb/iU/P27HMd+lrptZr3/c3ZzxH4dsVdR/twdutZEcs/N0uef1ZfKjv75pNs2UIsq43LzfGZNYKmXOgz9X23fjn760i4Tc1xX5qA1HzKYLfU0wtapCvtjUIPPWtMo9q5rNz9LXBmvEHUXxWmunNEQjMtl7XaCvYSh8AkBuKHYCAEaU95a3mrjXR95dmf6cFpN01+tXd9m4ZJGvxaQvar60/TQ5aOvJZqftm0ubTSSXzl8cVx31XdyPtWCpi6ofre4w80o/WtVuZjlqB6suHuglG1ro/MNpe5oi01ilHbbaVWgj7vT3+opX+NQCqP4u9XND0QK8LZL6aRH0c1oEnTJOtpmqhdBxpsCtMbSZXsyu7+iRu+cvkTteWpzuXFb7btkkp+wzSw6dPUVGs/M2nya7jq+TR1a3yLbjakzBU7s4taiou7D1fV080A5PXRDQhQh9v5gLAxp9q/FWJuIqi/F7Sa8AqjXu/oXTfPm7OrXgOqmiQmZUu4szdZGIbFJdYeYO6WLJ5KqoLO3qkZpI32is6khYDm1qkH3H18sz69vl6fVu0XPe2jY5cqMOmVlLdwUwHL97+mOzMWGvzSfKrptkjhgfrgl1lXLNN3aWb/3uRfnL/KWy/+cmUWjL4MYn3FmduiFusHSGfJ2x/+YmFUK7sc7/8xumqKrncXA3a13xj/fkd8+4G8Z0RMOPDt+mqM/Tutnvv4/bQbadNk4uf/A9s+ng49Ud8psTd5MpY7xzUDcz3T1/qVx2/7umqKavIS45arbss8WkQG6Pvm678du7yldveE7eWdYqR13/rJkd+sPDtpKm+rGZNnHLs4tkbUePbNZUK1///Iyi/7wff3m2PPn+almwok1uemZRQSPXRwI9T3+3vdu8v9+E+g0em5KSMhspNW42H9XhkOi/ZLMhNipy8MRxJs52WSxuCp4nTm8ymzL19UVDNCztyaSsaY9LdThsCp4bVVWYAqi+zgEADC2UYut2ybS2tkpjY6O0tLRIQ8PY65gBgOH4cFWbXPPPD+TBN93ZV/o6RCOXvrPvZma+H7se+0o6KVnW3CUfesVPjfvt6klKVzyZftvpve2OJ03R9P8ese2YLnRmo6UzLu+vajORoJWRsFREQ2YHtHnfXEJmDuvqtpjpPv5gVbu8r29XtsvHa9rTnZ+ZCs2m8DllnGw1dZxMb6yWh95aIfe/ucxELiu9j7622ww5Yc9NTZfoWPHUutZ0sRNiCqda4Nytsc50rmrhd4f6Gmms6N3ooQWWt9o7TXdnSELyr5Z200Wq80MHojHAj69tlfc7uuXeXbYMrNjJ+XJ++L2VlzXtMdnv549Ld9yR/z1tj6JH5l/96Pvyy8c+kPqqqDz4/f1k06YsdmKMETqH/OgbnjOdNU9ecJCJ+C9WUe+Cv7wpf311qTkX0Hj5Q7Yd3RuShqKJF//5lzflb6+5Hc7/94ht5LsHlLaQ8tyHa+Tf73jVnAdrJOhvT/y87DRGozr13FRnZP7zPXfDqM55v+rrO8lmk4J/vFje0iVXPLRA7ntjWTqt57wvbmU2H46lTkPd5HjAlU9IWywhvzx+F/nKTtNL8nN1s4x2+upGjYfPPaAs/k2UyrWfrJD/XrRCasIhuXiLaSYBxdLl8hXdcTM/4/QZk2VCHpuq9bz9piWrTBFzWrW78XBpd4/88tNVJv3lO9ObZNMa9/M71Neac/uqSFi6k460a2pQyjG3aXw0Ys71B1vx0KKsFk0rQiHzNn35/9u7DzipqrPx48/2wsKylKUjKCiKNCkK+gb/BrEnqEGjRpBEjQ0LnzeWfKwxr9FoDL7BEoy9RKJGTMwriobYpYioKB3p0gWW7btz/5/nuXNnZynKwu7eMzu/r59xys4Md+bMvfec85zznAZaWiVoc/iZbXRb/eBxRPx1TvXzedHvUbPoaDIe3ZJO2Zm1vufGRH0ZaPoIdjYiDqoAUHcrtxTLA28tkanz1sZSd57Wt4NcN6Kn9ChsHvbmAXXq9NPf8+INfgBULzqKesXm4thve0+O6NBCxgw9SH7Uv2OTmLlcVwQ7a9tYXmnparVDZGtltRzaLCuWzjaeBkS/KCqR5umpMr+o1J8NmvXd69SVV0dkTWm5/KJLoXQOaf1O6sv7h+/NLbpW4IMzlknfzvny6pXHNviArKrqiJz/6ExLZ9+vc768eNkwm92W7LYWV8jlz34iM7/eKmcd1UnuP6d/gw80u3bKPPnnZ+tsENRfxg6y9eOTUUlFlVz53FyZsWiTrX+uKZfPHtjws9T2ROteFz81xwag6X6h2zJqQHLNgJ42f738+pUvbJ/QYPyEEw+TS39wsJWNS2Z9vVVu/8eXtv5tkL3ntjN6y7E9wpl52lh0sMRrX3xj547VW0ut7v/a+OP2a+mL/aHdwj97bKZ8sHSLZY/RTD/JMpD4xNmL5IudpXJ8QZ6cXlgzEEKDdhvKqyQ3NVW65mTKD9u0sOwp+/PdPrVms6wrr5CucSly/2/Tdvn31iJpkZYqE7q1swGKupyFZqlpkZYmrTLTJS8tzYKfSoOlGlj8bn6ZadFp4DMtLvCZlZpiM0j1b+kpIvquWsZ6sdvR1/nvEn2fWu8a/V7Ek4rqiJREIlJa7Qc6dbt0mQ9/eK4GOlOiL/JqvZP9GyJyVH4zm60aBurLQNOXfD1mAOo0Kv2VuWttNtHp/TraaHGgsazeWiIPzlhqqZa080ideEQ7uW7EoUm5niQSn45M1wC9Xk7tU5PeTmfWavrhIPi5eH2RrNxaIv06t5QLhx4kA7q0TJoOB3z/6HA9GnbNzrJ1OttlZUjH6CjxXelaoB11zc7ychtBvbGi0jpuvm9dUH5rwIHZUVYpT3+00m5fcXyPRtmnNKPAxJ/2l1MeeE8+W7Pd1o686dTDJVlp4OCF2avl928slG0llRZ4vKIRUjNq4Oj+c/pJRVW1vPHlBrn0mTnyxEVDZOghrSWZbCupsPUXP121TbIzUuWhC46SE3qFN8tVZzr//Yphcu0L8+TthRstIK3reF5/Ui/ngn31TWe03vHPL2PrB+sSCpr6+vAObralhnRvZetGTpm9Wu57c5ENELzgLzPlpN7trO5cXF4txeVVNvNxZ1mV3d4Zva80288PDy+0JSMSpT7z4bLNcvfrC2NLX+jSFned1afRAp1Kv6v/GdVHTpr4rgU8X5671rLJNHULdpZaoFO/6WEFebXq21pvbp+ZIV1zsmwWogYN9/e7zUtPk/Ky2oFKXbvzi6JS2VRZJf+3ebuc076VBQ3LPE82V1ZacDRVUmyWpwZENUOLLkFhMyXtPw2kRmdORmdSpkUDmynaXkhJkaoUT8qjAUbtTtGgZiQW2PQ/j81/spvRzxfbTM+Cn3o3+OT2Jy/Flubwg6X+3+w5+pjN7Iw+M7ZtNW+qszu3Ve1L0BYA9h8zOxsRI0iQKNZvL5PJ7y6X52ettPRbSgOdowZ0tFQyvdrz+8XeFZVVyr8XbrTbh7TNs0tO5veP3FvzbYmN5tV1EfVa158MHH9YW5lw4qHSt3Nypp0CkpnO7Hx903Y5JDcrmpopbuhxktlQXmlrhep3oaOu+zbPsQ6UvSmurrZ1gXTAyILiUimtjthI8e+a2bm2rEJ+3rktMzsTDN+bO3Sg1r1vLLJ0429e+4NG7bDW2VuXPfuJ3X7650OSclahrnN+y9T5FvQNgjv/c+aRMvCgVo22DZp+XstB68O6VremMm7Mfz/sdKRjHptlsyjzczLk8YsGOfPZ9VyoAwEe+o+/hmvXVrm2bvrBbZtF2yzN5OA2ebYWbiIGmLXttHyTLpvgX+t9ndWqSyjoYeiy4YfINSN6SlZIM6r2Z+mIiW8vtsEjwcDXfdW5IEdO6FVol2MObi3ZGe595oXrd8g9ry+02c9Bf8tlww+Wnx/XPbRMLg/9Z6n8ftoiW17j7QnDm/y6qdcvWi1Pr9si3bIz5aqDCu0xrStrNhRNLdstO0t2RiLSOiND+jfP2e8A+rtbi+S9rTskMzXF6vFBWtmvS8rlodWbLBR4aec2cmiz2ktIaHCwTAOg1REpi0R2mW/pBzx9QcgxuOU/JzXFkzRJsSCobrvO9qyZrRkELVMkLW426O6zO/2Zn3Y7RWwGZ0XEk/KIn65WA5ca4KyWSFymomggtdY9DYRG7LkXdGwj3eNmuTYm6stA00ewsxFxUIXrNNj0yDvL5G+z11hqCqXpt3S05PK4wNOggwos6Hnyke2dbDg05VHqX28ptk6TDvk5zm3bx8u32CzM1+d/EwuSBzq1zLFOv+CiHQo6Y/iTld9acHP211tl3fay3d5X0+hokNOVThIAjW/mtp22lqQG9YI0ScGI5iA1kzbitcGtDWjtGLDLHt4r6ApIizbw9XV6CWIRwev139BZkLUryUH3QYr963ovGEGta7gG6+RYp0Kq/7f6oJ+53PMsEFnpedI3L9fe//C8HOmQ9f0dspqWdmFxuVR41TaCvGNWxl47awh2Ji6+t/Czobz22Tp5Zd46WyNS6Vp4YaTtvHnqF/Lsx6ukTV6WvH7Nf0nb5k27szo+2KNB5udnrbIZLs2z0mXCyEPlwmMOspmvjU2zNmjq1PeXbrZtee6So5vsoL2120rlvcWb5N0lm+S9xZttll37Ftny9C+G2Hrkrnl13lq54eXPd2uvBFo1y5RurXOtnaszP4MggZ7r7Xaqf1uDud3bNLPLwW3zLHi6LCmrvwAALklJREFUL+mjtW29YUeZbC4qt7qGZv7Q4Ie/9nuqpKelSIbOJEtPkfLKiGwtqbDf99biyuh1hXxbUmnrO27aWS5fby62x/bm4DbN5Pc/6SuDuiVme0ozn+iaxFt2VkhedroFBe0Sd7tZVrrN8vzPoo3ywbItsfXuVU5GmqXB1cCnpsXt2DLHZk+GcVwIBgTc/+ZieWnuGjtWadlr38r4E3qEHlzUJTfO+NP7lmnmjH4d5b7RffcrOK6/R83S1KVVru1PDUG7sjWQfyAp27+trJK7lq+TbZVVMrxVC0slW1IVkUNysmxwoKZs1SwpOrsz9wB+L6tKymXm9mLZWVUtmyorLR1uvm53Soq8suFb+WBbsQUU9d/ITk2V7LQUydHr1FTJSUuxa01Da22OIEgZBCqjxyYtJb229k30cT9tbE1q22CWZnwrwP+73+LxP6Ee5/y/pdZko60JgkbT3gbtHN0GfxyqzgRNsd/03lR5EVlTVimXdSmUw/LC6c+ivgw0fQQ76+jBBx+Ue++9V9avXy/9+vWTP/3pTzJkyJB9ei0HVbhKG0gPzVgqr3y6NpZSYki3VjL+hz3kuOj6GB8t2yLPzlwpb365IfYcrbiOHthZzhncRbq3btaoI9eTgTaC563eZhftONPUNto4Vh3zs2Vgt1YWeB54UIGlIgojDZM2Yl6eu0Ze+mSNrPm2NPa4jozW38fSjTutMb4vtKHXu1O+HN29lQyOfrZEHFkNoH6tKauQ+TtKbA0bbU3rKchGFXsRKanypKS62taLscCnrUfjr0mjfQixYGS0GV8VHYFcGR2RXB6J+GvNRKvD+txsfQ/tVEhJlcy0aDA12qjXTslqa6zrejUahIxIRURHW/vvUbVLsDReEJQNgqR+R4W/bUHHhX42/Vy2XRF/zLZ+Lk1h1Sw1VVqlp0luepp0zs600d/6+u+jn3f+zlKbFbqstMw6IYIOll0R7ExcYX9vmhVE0yXqgCzN5mDXGWl1ngWhg6eKyqrsvfSyrbSi5nZJpVRVe9IiJ92CDC2yMyQ/N3qt93PS9+vfPJA1Cad/tcHqz+8t2RybeaT78qj+neSen/S1wEUYQbZRD35gndXNMtNig8wOiRt0dlCr3NA6+uub/ma0Hnr3tIWxgM+ZAzrJTaf0ksIWtWfJNDb9jVz0xGzLWKK/0XvO7mt15Hb52RYATZQ0m3v6XDrI8d3Fm+W9JZtqZWNRh7VrLo+PG2yDHV2lgcL567bbgF5dSkCvdTbkngZf7itti3UpyIkFP1vnZcrmogrZWFQmG4vKZeMO/7qkQmsS9a9DfrbNUtXZqXbdNs8CnVoOydRO19/nh0u3WMriGQs3yvodZXssq3bNs6RDyxwLfmrbWr8/Dc7p96bleKDHSA0crv22VFZsKZYVm4tlxZYSm2n74bItUh4Nxp7Wp4P86qTDpFubZuIK7Xs486EPrL6YlZ4q/bq0tL6hQd38fofm2bXXfy+tqLZ9SfsrdEa9Xq/aWhL7e0Fuhp2Das5FzaRH2+bSqSCnVv+Fdk3bLMHoRW/vKK20wRT6Pa7T6+DyrX+t3/GRnfItfbGmC9c+BA187+u5Uvf7f329Sb7JTZGuBblWR++Wmym5qRqMTJNuOVnSNvPAj9WaaWVlabl8U1YpGysrZUtFlRRXR6RNRob2ysvElRtlU4Xfz5MMnunTTU5s0zIp68sAGh7BzjqYMmWKjBkzRh555BE5+uijZeLEifLiiy/KokWLpLDQT3nwXTio1qY/vU1F/khEqwBuKbFKoFaMtKNCR0ZqZfOg1rl2Wy86MjlRG4X13ajXmZdaSdbv0bpOoykngvz7QZY/He2mlcSgo6jW7bJKq+C98eX6WMqJ/+rZRq76fz3k6IP3vLaMNtJ0DY2/zlpVqzGoHcztWmRL+/zopYXfYAhuawOrpLzagnU66rJYK3jRNTf0sapIRNJ1BKt2LOuoVh25FjeyVa/9DrR067jRjrRmejvLfyw3I82e873fna4dYLN+amb/eLHb/ufQdX10hKA/utYfwbsrfQ/9/rUcdOSo3a6KfG+KHf27VqxLK6vt2r9EYvd17ZGvvtlhjYxv9tDY1nVvtEx3/Xf0OxnQ1W+A9OuSb6lvgu0Pru37Ta/5brVxoZ83Pfo3G7kX91mrdOF53daKamuUa1npdurtDdvLZOq8tdZYC2inzRn9O1oAvH/cGoNbdpZbJ4gGPvWiHQp6rb/BPp3ybW0WvQzo2jK0lD0A3KWppDQAVxKd2aidH9pFFIxO1pRQGowMHrPjvPjH9GAGaPyszNgMzOhMDR39HDxDD1s6u9N/Hz+waeeJYK2b6Bo1QZAyeA8NVuqz9LUaUNXJIpWRiAU9dZs1uKrppzSQqf1b9jmi72v/ngVH/ffXz9M8PU3y09JshHeOXfsBWP0uNJh7ZPPcOo0w106VL4pKZHNFpawuq7B/X+k76PvqeUEDxPpZvykn2JmIwv7efvd/C+TP7y7f7XGt0wcBUJ0lZfvVLp2Zdl3t16G03nEgrVOt77TMzZTWzTJt0JVe9LYOnvIfy7K6o9bzdLaKduTqba37ZWX411onKq+qtrpdUE/T+3qt97UO+59Fm6z+HB+06Nc5X0YN6CSn9+0Y+mzKJRuK5MLHZu2xkz/4nroUfP8sNK1D6vcVzJzSi93O9GdVab00KK+aZb7iV+jyfwOazUM7yPVaXx/c1u9fy31rdIba5p0VNttNZ8r6F53BVmFBbm0r1P7N+Ne6fELQJtFZW3f++Mi9tmPCoO2cCx+baetX7lp3bxdtJ+mlbYusWGrDvdFzmLWNojMBrc0Urcfr4/rqoE2i18Hv2L9fbdf62qBNlRs3MEHr4Hpb99HiaL3fv/i/+eC+tk/0swRZgJRutrZDtB2pqZP7dspP2GC6Bsq0fawDOvUz6s9Zf2dBm1EHMlm7MeLZ71P7MpZv3ilfbyq2721fafnrcUK/Jz3+VUZ/4/q71gCODcyqjtgxqSB6LNNjW6vcDLsu0NvNMuxv3Vr7s0v3NciTTLR+pW3rfy/QGZ+bbXCuDs75vjUDdb/StV4ttXF0WRYNIOu+qr+R7aVVduzZUVZl/Ss6SEf7VrR9GwQ49d/aW9+Atn11QIbuNy56+qMV8sBbS2TLLjOGdV/XJY0Gdyuw/WPe6u0283ZPn7ONBvt3Vnznd6z9EZGIDsyLT4G6//S4qJnJhh3SxoKf2jeidJ9esrFIlmzYadurabY18Bz8m0OHd5H/OqKddMjKkIKMdFvrvkt2pq2RWZ+/xS2V1TaIc3VZuWwsr5StFVW2j+sgxB2aqtbS1fpthtL425GIlOs5L9q+sUuQ0SYus03QbrG0stH+reA1QcYafX7NWp/+KTv+seB20K76PnreqVm/M5hHunf6/k8e2V1GtMmXZKwvA2h4BDvrQAOcgwcPlkmTJtn9SCQiXbp0kfHjx8uNN97o/EH1xTmrbVRpSlwKltisgmiQo+b23p+j/DWna9K7+SdG/562e6ojfoXdb5D6lXZLPaezKCqrZfW3pVa5qOuoRm1Qa9BTU3j6wahoACdo6MXua8VJgznBtkdTzNlEBr9S5W9rfEdLJLbteh0fCPM/c1ylILrott0POlPjGvqx7yP6fP87qllEvOZ5/r+vDRltiOq1fm96XREXSNv1dkMs6P3DXoVy5Qk95Kh9rHBro0zXl3j245WWnqmu62gkEusQiwZetXy0s0CvG5r+TDX1kwYOdUSlXvcszLPfigZD56z4Vuas3GodDsGMzwMV3+iI78T4LppqdvTALnJS7/b7tDYnAOyPSHSNmIrgWhv+kYiNjNb7ep5Pjwtk6tqeWhfwg5N+UFEDkP6MTn9mqAUn42ZhWuAzmt7WD2bq+6XG3tefUeo/359hGj2XxwVXlb6dzSqNppzyLzVpc4PPYzNF4zoq9E/ZNivVf05V7PP6n1H1bp5j6/3UhW7jkuJyWVVWLs3S02Jr/2hHSpGm7NJ6W8ST0ki1VHspMqZja4KdCSbs703XwXtu5irrBN5basi60OCLzoSLXXL9a62n7Cj1O5WDAXza2azXYdRFtV2iAc5R/Ttah7hLtD2h7a1gsJlddB2/jcU2eM0FWp56nDvQHgkNHF134qEydli3UGbTfh/9ff7mn1/ZeqIagNbASKLT2YIa2Bx+qAYV2tj+mcz0PKuzNoNZohoE1dmjGtDUi84ybhe91hSqBCbDo+cKHUyhMwXXbSuztLI6S1Dvr9paajN8g5mXB0r7rzQYrQP49VpncOo6sQPiBga7/JvW9V91uZnZK/ylZ+JnbMbT33TQZ9Gvc0vp0znfjgnB4AHdL3Tw87LowGd93/hUw3ujgcAOLbPteGOXgprrzi1zJS0tRWZ9vcWykH20fIus3lqTaSo4x/iDFfb8/i2y06VD61w5pHcbObF3e+manSkH5WRJ6wbMEqHnPE1lu6qkQpaXltmMTg1mapBVBzR+lyCtbGP+doJBn0FfaDA41IKcddwO7Rv+urRCxnZqIwfnZidlfRlAwyPYuY8qKiokNzdXXnrpJRk1alTs8bFjx8q2bdvk1Vdf3e015eXldok/qGpwNKyD6g0vfS5T5qwWl+jJWisqwWhEHT2n62NoA1wrUqu2lPjXW0us8tmE42kNSivZQWdRkOrLT/elI0MzZMTh7Sz9x4F0pugsXW2860hJHfG7fnupXWsq1mCGYrPoTMxgVLiOIM6L3g9GtQajWP0gsD/S3zp7tWM2OsNQK806clZnHOpIY31sXyrLe1ITzPdrbEEAfH8Dolrh/i7aya0zG7RM9Fo783a9ryletKGgsx73pSGs27tofZF8snKrzFn5rSzesFMqqqr971KD6NHvNBgprJe6fEQNfurM2Vhaumi5HdejrZw9sJN0Lsjd9zcDAEcEsyn99LNB+sldZmzupREfvLY6fjR1NI1tEBANAop6scf1/BINjPqClLa1g6Aa2LTt8fxt0JmX2dHZni3S06RwP9NpaQqtz4tKbRt0HaD4f9dfFzQixVURmwU6ok0Lyc8IpyOWTojE/950xlOQCcKyQ1T6dTWdFamDEm1NW52JprOyo1km0qIXrWtoHbWua4TpPqn/hgaVdJbgrhednbK1uNxuB/VGy5JSufvgQmUDD9Jr6mc6AzG4zspIk17tm1uQMxE6rPdUPuu2l1qnsB67vot+JzqgLsjMYrfL/AwtO8v9Mq3p+KxZFyz+K9HvW4N7OgtKr/X1uqbjrvVxnXWrM4E0MKTrjeptvdaZa/q91/xWav92NHuMpk1NpKUPtC2jbSZtOwVtJU13uutK0bvS4orV6WMDimsGGWt5ZsXNWvZnK6fZtd7XQLC+PsjaYvtodP8M2lh6TtA2mj+T15/xmRe79lNIazpLbbsn2m8fqMsxUoNzGvgMAth6rTMVdT/QtOktojPU9Vr7VYIZ7JoSV4Oa2selQcCmlEJYj1ca9Jy7cpv1f2iAUy+azasu9Hilxz/9ruOP5fH1Ab1ohq+6fH86I1uDnh9Hg59BP5Qet3Tmf4/C5nbdM3qt5xtdQ3JpSakFOXVGZ1Zq4wyY0QGbG8oqZUlJuXxdWirbNLNF3N9rsiXETaCI/V/PuDpKUgd1+vf3dv6oyV9T84a1n1mzZufe1PyLmiVnz+LndMbn1bFJNNFrrattq6om2AmgQRHs3Efr1q2TTp06yYcffihDhw6NPX799dfLO++8IzNnztztNbfffrvccccduz0e1kF1xqKNsvCbolijVisWQSrPIK2npTaIzlLw9vAc/Xuthuwuo4qChm4wyzItmhpNA0BaUbEKS3pqrALYuSBnnzsztLHtj7YrsUpWkOolmOkYn/4lvsGnnyGYgWG3o5/J1sGKVp7iK1XB7WA2q36o4BPGUjPEPnvN548t2L3r3+MW+K75nmqqHDVpRmtSp2am137MUmsFabai94PbfqXBf99aM0yjn1E/y/4sKp9oLP3ZLoezPR3dgnL1Zy7veVRc/GzboONLg4b624ovk/jySLTGfiQ+DVg0LVj8bGz9PBrgzNVUbwn4+QDAFV6QyjYaINUBKH5g1O+sLo9IdO1P/6SVl5YmzbSTOlXXD/WvNeBZHzRF7arSitjaokHwNUjyq9uq9baBLZpJXkh1h6bSCfHggw/KvffeK+vXr5d+/frJn/70JxkyZMhen69LY9xyyy2yYsUK6dmzp9xzzz1y6qmnJt33Frag3aDtAeo+Dfs976zQAKifwk9TdIax9jwAoGnSOq2mEtbBHm3z9r4clg5O1EGKOqAwDMVV1bJWl5cqLbX6uQr6EoM+raBH0l/+wm9D6MX6O1M0K5efwjbWbxlcp+yhYyzafxiksQ0y1gWC2ZvBdfCGcb2+NdtYqx/U/39sySjLeqP9SyJVKdE2R8STlJRUGd2+QDpkhzNAifoy0PSRO6MB3XTTTTJhwoTdZnaG5f8dVmiXRKVBJRsh59Di7XCHre9ZT+/lB779GZdNlQb5dV04X9P9nAAQNu1c0bRU+9Kkt3W4GzDA0iErUwozM2KdJDZYLDrYLQi+amdJY41qb6qmTJlibYBHHnnElsGYOHGinHTSSbJo0SIpLNy9Lq6DKc877zz53e9+J6effro8//zzlklm7ty5cuSRR4byGZKV1o90DV40/Pdss6Gykzv1KQCgYWh9ukur789ApetyhjPH0KfLS/RsliqdsjPicr/URBrj18EMlsLSHBTVcde2nvBu8zV3DU/GvUfcshs1j8W/dvfX7WvzpNZ6oMFyXtrOsJS4/nu2yiQUAaDhMLOzAdPY7ooRJAAAAEDTri9rgHPw4MEyadIkux+JRGzA4/jx4+XGG2/c7fnnnnuuFBcXy2uvvRZ77JhjjpH+/ftbwDRZvjcAAACgoVBfBpo+hm3vo8zMTBk4cKC8/fbbsce040Lvx6e1BQAAAJC8AyQ/+eQTGTFiROyx1NRUu//RRx/t8TX6ePzzlc4E3dvzVXl5uXXYxF8AAAAAAEhWBDvrQNNRPfroo/LUU0/JggUL5PLLL7dR2OPGjQt70wAAAACEbPPmzVJdXS3t2rWr9bje1/U790Qfr8vzlaa81ZHpwSXMpTIAAAAAAAgbibLrQFNMbdq0SW699VbrfNDUUtOmTdutcwIAAAAAGspNN91kAzEDOrOTgCcAAAAAIFkR7Kyjq666yi4AAAAAEK9NmzaSlpYmGzZsqPW43m/fvv0eX6OP1+X5Kisryy4AAAAAAIA0tgAAAABQLzIzM2XgwIHy9ttvxx6LRCJ2f+jQoXt8jT4e/3w1ffr0vT4fAAAAAADUxsxOAAAAAKgnml527NixMmjQIBkyZIhMnDhRiouLZdy4cfb3MWPGSKdOnWzdTXXNNdfI8OHD5Q9/+IOcdtpp8sILL8icOXNk8uTJIX8SAAAAAAASA8FOAAAAAKgn5557rmzatEluvfVWWb9+vfTv31+mTZsm7dq1s7+vWrVKUlNrEuwMGzZMnn/+ebn55pvl17/+tfTs2VOmTp0qRx55ZIifAgAAAACAxJHieZ4X9kYkix07dkh+fr5s375dWrRoEfbmAAAAAE6hvrx/+N4AAACAvaO+DDR9rNkJAAAAAAAAAAAAICGRxrYRBZNodSQJAAAAgNqCejLJZ+qGdgY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+ "text/plain": [ + "
" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "best_model.plot(df, fcst_best, level=[80, 90])" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "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": "3.11.15" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/mkdocs.yml b/mkdocs.yml index f4df3da..1eff931 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -28,6 +28,7 @@ nav: - examples/ts-foundation-models-comparison-quickstart.ipynb - examples/gift-eval.ipynb - examples/chronos-family.ipynb + - examples/finetuning.ipynb - examples/cryptocurrency-quickstart.ipynb - examples/sktime.ipynb - examples/patchtst-fm.ipynb diff --git a/tests/models/conftest.py b/tests/models/conftest.py index 16fc5ca..f61044f 100644 --- a/tests/models/conftest.py +++ b/tests/models/conftest.py @@ -128,5 +128,4 @@ def disable_mps_session(monkeypatch): from timecopilot.models.foundation.sundial import Sundial from timecopilot.models.foundation.tabpfn import TabPFN - models.append(TabPFN(mode=TabPFNMode.MOCK)) - models.append(Sundial(context_length=256, num_samples=10)) \ No newline at end of file + models.append(TabPFN(mode=TabPFNMode.MOCK)) \ No newline at end of file From b529b3dce13c85b0deb9bdd3d4bb6011a2fab8c4 Mon Sep 17 00:00:00 2001 From: AzulGarza Date: Mon, 16 Mar 2026 20:57:43 -0700 Subject: [PATCH 11/23] fix: lint issues --- tests/models/conftest.py | 16 +- tests/models/foundation/test_chronos.py | 8 +- timecopilot/models/foundation/chronos.py | 11 +- uv.lock | 12492 ++++++++++----------- 4 files changed, 6260 insertions(+), 6267 deletions(-) diff --git a/tests/models/conftest.py b/tests/models/conftest.py index f61044f..d474ceb 100644 --- a/tests/models/conftest.py +++ b/tests/models/conftest.py @@ -2,7 +2,6 @@ import pytest -from peft import LoraConfig from timecopilot.models.ensembles.median import MedianEnsemble from timecopilot.models.foundation.chronos import Chronos, ChronosFinetuningConfig from timecopilot.models.foundation.flowstate import FlowState @@ -67,17 +66,17 @@ def disable_mps_session(monkeypatch): Chronos(repo_id="amazon/chronos-2", alias="Chronos-2"), Chronos(repo_id="amazon/chronos-2", alias="Chronos-2", batch_size=2), Chronos( - repo_id="autogluon/chronos-2-small", - alias="chronos2-finetuned", + repo_id="autogluon/chronos-2-small", + alias="chronos2-finetuned", finetuning_config=ChronosFinetuningConfig(finetune_steps=1), batch_size=2, ), Chronos( - repo_id="amazon/chronos-2", - alias="chronos2-finetuned-lora", + repo_id="amazon/chronos-2", + alias="chronos2-finetuned-lora", finetuning_config=ChronosFinetuningConfig( - finetune_steps=3, - finetune_mode="lora", + finetune_steps=3, + finetune_mode="lora", learning_rate=1e-5, ), batch_size=2, @@ -125,7 +124,6 @@ def disable_mps_session(monkeypatch): if sys.version_info < (3, 13): from tabpfn_time_series import TabPFNMode - from timecopilot.models.foundation.sundial import Sundial from timecopilot.models.foundation.tabpfn import TabPFN - models.append(TabPFN(mode=TabPFNMode.MOCK)) \ No newline at end of file + models.append(TabPFN(mode=TabPFNMode.MOCK)) diff --git a/tests/models/foundation/test_chronos.py b/tests/models/foundation/test_chronos.py index 922d130..6f7f42a 100644 --- a/tests/models/foundation/test_chronos.py +++ b/tests/models/foundation/test_chronos.py @@ -76,10 +76,10 @@ def _from_df_side_effect(*args, **kwargs): def test_chronos_finetuning_save_and_reuse(tmp_path): - """Finetune with save_path, run cross-validation, then forecast using the saved path.""" - from timecopilot.models.foundation.chronos import Chronos, ChronosFinetuningConfig - + """Finetune with save_path, run cross-validation,""" + """then forecast using the saved path.""" from ..test_models import generate_series + from timecopilot.models.foundation.chronos import Chronos, ChronosFinetuningConfig save_path = tmp_path / "chronos2-finetuned" config = ChronosFinetuningConfig( @@ -99,7 +99,7 @@ def test_chronos_finetuning_save_and_reuse(tmp_path): assert "Chronos" in cv_df.columns assert save_path.is_dir(), f"Finetuned model should be saved to {save_path}" - assert (save_path / "config.json").exists(), "Expected config.json in saved checkpoint" + assert (save_path / "config.json").exists(), "Expected config.json " model_reuse = Chronos( repo_id=str(save_path), diff --git a/timecopilot/models/foundation/chronos.py b/timecopilot/models/foundation/chronos.py index 6296c5b..c771fd2 100644 --- a/timecopilot/models/foundation/chronos.py +++ b/timecopilot/models/foundation/chronos.py @@ -156,8 +156,7 @@ def _build_fit_inputs_from_df(df: pd.DataFrame) -> list[dict[str, Any]]: """Build list of fit inputs from a DataFrame (unique_id, ds, y).""" df_sorted = df.sort_values(by=["unique_id", "ds"]) return [ - {"target": group["y"].values} - for _, group in df_sorted.groupby("unique_id") + {"target": group["y"].values} for _, group in df_sorted.groupby("unique_id") ] def _maybe_finetune( @@ -181,15 +180,11 @@ def _maybe_finetune( "num_steps": self.finetuning_config.finetune_steps, } if self.finetuning_config.learning_rate is not None: - fit_kwargs["learning_rate"] = ( - self.finetuning_config.learning_rate - ) + fit_kwargs["learning_rate"] = self.finetuning_config.learning_rate if self.finetuning_config.batch_size is not None: fit_kwargs["batch_size"] = self.finetuning_config.batch_size if self.finetuning_config.finetune_mode is not None: - fit_kwargs["finetune_mode"] = ( - self.finetuning_config.finetune_mode - ) + fit_kwargs["finetune_mode"] = self.finetuning_config.finetune_mode if self.finetuning_config.lora_config is not None: fit_kwargs["lora_config"] = self.finetuning_config.lora_config if self.finetuning_config.save_path is not None: diff --git a/uv.lock b/uv.lock index 56c5f0e..46a4e14 100644 --- a/uv.lock +++ b/uv.lock @@ -1,8487 +1,8487 @@ -version = 1 -revision = 3 requires-python = ">=3.10" resolution-markers = [ - "python_full_version < '3.11' and sys_platform != 'linux'", - "python_full_version < '3.11' and sys_platform == 'linux'", - "python_full_version == '3.11.*' and sys_platform != 'linux'", - "python_full_version == '3.11.*' and sys_platform == 'linux'", - "python_full_version == '3.12.*' and sys_platform != 'linux'", - "python_full_version == '3.12.*' and sys_platform == 'linux'", - "python_full_version == '3.13.*' and sys_platform != 'linux'", - "python_full_version == '3.13.*' and sys_platform == 'linux'", - "python_full_version >= '3.14' and sys_platform != 'linux'", - "python_full_version >= '3.14' and sys_platform == 'linux'", + "python_full_version < '3.11' and sys_platform != 'linux'", + "python_full_version < '3.11' and sys_platform == 'linux'", + 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Chronos(repo_id="amazon/chronos-bolt-tiny", alias="Chronos-Bolt"), Chronos(repo_id="amazon/chronos-2", alias="Chronos-2"), Chronos(repo_id="amazon/chronos-2", alias="Chronos-2", batch_size=2), - Chronos( - repo_id="autogluon/chronos-2-small", - alias="chronos2-finetuned", - finetuning_config=ChronosFinetuningConfig(finetune_steps=1), - batch_size=2, - ), - Chronos( - repo_id="amazon/chronos-2", - alias="chronos2-finetuned-lora", - finetuning_config=ChronosFinetuningConfig( - finetune_steps=3, - finetune_mode="lora", - learning_rate=1e-5, - ), - batch_size=2, - ), FlowState(repo_id="ibm-research/flowstate"), FlowState( repo_id="ibm-granite/granite-timeseries-flowstate-r1", From e0c116011308d58b018e593214051cc48e75e49f Mon Sep 17 00:00:00 2001 From: AzulGarza Date: Mon, 16 Mar 2026 21:05:53 -0700 Subject: [PATCH 13/23] tests: dedicate finetune tests for chronos --- tests/models/foundation/test_chronos.py | 38 +++++++++++++++++++++++++ 1 file changed, 38 insertions(+) diff --git a/tests/models/foundation/test_chronos.py b/tests/models/foundation/test_chronos.py index 6f7f42a..f5c04c3 100644 --- a/tests/models/foundation/test_chronos.py +++ b/tests/models/foundation/test_chronos.py @@ -110,3 +110,41 @@ def test_chronos_finetuning_save_and_reuse(tmp_path): assert not fcst.empty assert "Chronos" in fcst.columns assert len(fcst) == n_series * 2 # h=2 per series + + +def test_chronos_lora_finetuning_save_and_reuse(tmp_path): + """Finetune Chronos-2 with LoRA and save_path, then load from path and forecast (no patching).""" + from ..test_models import generate_series + from timecopilot.models.foundation.chronos import Chronos, ChronosFinetuningConfig + + save_path = tmp_path / "chronos2-lora-finetuned" + config = ChronosFinetuningConfig( + finetune_steps=2, + finetune_mode="lora", + learning_rate=1e-5, + save_path=save_path, + ) + model = Chronos( + repo_id="autogluon/chronos-2-small", + finetuning_config=config, + batch_size=2, + ) + n_series = 2 + df = generate_series(n_series, freq="MS") + + fcst = model.forecast(df, h=2, freq="MS") + assert not fcst.empty + assert "Chronos" in fcst.columns + + assert save_path.is_dir(), f"LoRA checkpoint should be saved to {save_path}" + assert (save_path / "adapter_config.json").exists(), "Expected adapter_config.json for LoRA" + + model_reuse = Chronos( + repo_id=str(save_path), + finetuning_config=None, + batch_size=2, + ) + fcst_reuse = model_reuse.forecast(df, h=2, freq="MS") + assert not fcst_reuse.empty + assert "Chronos" in fcst_reuse.columns + assert len(fcst_reuse) == n_series * 2 From 4ce2b65cc50b36bd7e7e4c00e0c08cddc00b6511 Mon Sep 17 00:00:00 2001 From: AzulGarza Date: Mon, 16 Mar 2026 21:06:57 -0700 Subject: [PATCH 14/23] fix: cap transformers --- pyproject.toml | 2 +- uv.lock | 12494 +++++++++++++++++++++++------------------------ 2 files changed, 6248 insertions(+), 6248 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 43a45a1..28c197f 100644 --- a/pyproject.toml +++ 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a/tests/models/foundation/test_chronos.py b/tests/models/foundation/test_chronos.py index f5c04c3..bb44d47 100644 --- a/tests/models/foundation/test_chronos.py +++ b/tests/models/foundation/test_chronos.py @@ -113,7 +113,7 @@ def test_chronos_finetuning_save_and_reuse(tmp_path): def test_chronos_lora_finetuning_save_and_reuse(tmp_path): - """Finetune Chronos-2 with LoRA and save_path, then load from path and forecast (no patching).""" + """Finetune Chronos-2 with LoRA and save_path, then load from path and forecast.""" from ..test_models import generate_series from timecopilot.models.foundation.chronos import Chronos, ChronosFinetuningConfig @@ -137,7 +137,7 @@ def test_chronos_lora_finetuning_save_and_reuse(tmp_path): assert "Chronos" in fcst.columns assert save_path.is_dir(), f"LoRA checkpoint should be saved to {save_path}" - assert (save_path / "adapter_config.json").exists(), "Expected adapter_config.json for LoRA" + assert (save_path / "adapter_config.json").exists(), "Expected 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**Chronos 2 finetuned with LoRA** had the best (lowest) scaled CRPS among the compared models. Because we saved it with `save_path=\"./chronos-2-finetuned-lora/\"`, we can load it and use it for new forecasts without finetuning again." ] }, - { - "cell_type": "code", - "execution_count": 6, - "id": "63615763", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "agent-quickstart.ipynb\n", - "anomaly-detection-forecaster-quickstart.ipynb\n", - "aws-bedrock.ipynb\n", - "\u001b[1m\u001b[36mchronos-2-finetuned\u001b[m\u001b[m\n", - "\u001b[1m\u001b[36mchronos-2-finetuned-lora\u001b[m\u001b[m\n", - "\u001b[1m\u001b[36mchronos-2-finetuned-lora-path\u001b[m\u001b[m\n", - "\u001b[1m\u001b[36mchronos-2-finetuned-path\u001b[m\u001b[m\n", - "chronos-family.ipynb\n", - "chronos2_finetuning_example.png\n", - "cryptocurrency-quickstart.ipynb\n", - "finetuning.ipynb\n", - "forecaster-quickstart.ipynb\n", - "gift-eval.ipynb\n", - "google-llms.ipynb\n", - "llm-providers.ipynb\n", - "patchtst-fm.ipynb\n", - "sktime.ipynb\n", - "ts-foundation-models-comparison-quickstart.ipynb\n" - ] - } - ], - "source": [ - "import os\n", - "os.getcwd()\n", - "!ls" - ] - }, { "cell_type": "code", "execution_count": 9, From 98f902d67fcce75b6609b62e3e5cd4863dd8b927 Mon Sep 17 00:00:00 2001 From: AzulGarza Date: Mon, 16 Mar 2026 21:23:27 -0700 Subject: [PATCH 17/23] fix: add correct docstring --- tests/models/foundation/test_chronos.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/models/foundation/test_chronos.py b/tests/models/foundation/test_chronos.py index bb44d47..b127733 100644 --- a/tests/models/foundation/test_chronos.py +++ b/tests/models/foundation/test_chronos.py @@ -76,8 +76,8 @@ def _from_df_side_effect(*args, **kwargs): def test_chronos_finetuning_save_and_reuse(tmp_path): - """Finetune with save_path, run cross-validation,""" - """then forecast using the saved path.""" + """Finetune with save_path, run cross-validation, + then forecast using the saved path.""" from ..test_models import generate_series from timecopilot.models.foundation.chronos import Chronos, ChronosFinetuningConfig From f1ef9e8ea2d1b5a7cc966eecef898994dea0773a Mon Sep 17 00:00:00 2001 From: AzulGarza Date: Mon, 16 Mar 2026 21:29:42 -0700 Subject: [PATCH 18/23] fix: add torch_dtype as in chronos --- timecopilot/models/foundation/chronos.py | 17 +++++++---------- 1 file changed, 7 insertions(+), 10 deletions(-) diff --git a/timecopilot/models/foundation/chronos.py b/timecopilot/models/foundation/chronos.py index c771fd2..50587d9 100644 --- a/timecopilot/models/foundation/chronos.py +++ b/timecopilot/models/foundation/chronos.py @@ -200,17 +200,14 @@ def _get_model(self) -> BaseChronosPipeline: # LoRA checkpoints save adapter_config.json; BaseChronosPipeline.from_pretrained # uses AutoConfig and fails. Chronos2Pipeline.from_pretrained handles LoRA via PEFT. if repo_path.is_dir() and (repo_path / "adapter_config.json").exists(): - model = Chronos2Pipeline.from_pretrained( - self.repo_id, - device_map=device_map, - torch_dtype=self.dtype, - ) + cls = Chronos2Pipeline else: - model = BaseChronosPipeline.from_pretrained( - self.repo_id, - device_map=device_map, - dtype=self.dtype, - ) + cls = BaseChronosPipeline + model = cls.from_pretrained( + self.repo_id, + device_map=device_map, + torch_dtype=self.dtype, + ) try: yield model finally: From f6bb150dac181d91161b3d1a9d6bc96752ac7c42 Mon Sep 17 00:00:00 2001 From: AzulGarza Date: Mon, 16 Mar 2026 22:59:48 -0700 Subject: [PATCH 19/23] release: v0.0.24 --- docs/changelogs/index.md | 1 + docs/changelogs/v0.0.24.md | 64 + mkdocs.yml | 1 + pyproject.toml | 2 +- uv.lock | 12496 +++++++++++++++++------------------ 5 files changed, 6315 insertions(+), 6249 deletions(-) create mode 100644 docs/changelogs/v0.0.24.md diff --git a/docs/changelogs/index.md b/docs/changelogs/index.md index fcac16e..33b5eb3 100644 --- a/docs/changelogs/index.md +++ b/docs/changelogs/index.md @@ -3,6 +3,7 @@ Welcome to the TimeCopilot Changelog. Here, you will find a comprehensive list of all the changes, updates, and improvements made to the TimeCopilot project. This section is designed to keep you informed about the latest features, bug fixes, and enhancements as we continue to develop and refine the TimeCopilot experience. Stay tuned for regular updates and feel free to explore the details of each release below. +- [v0.0.24](v0.0.24.md) - [v0.0.23](v0.0.23.md) - [v0.0.22](v0.0.22.md) - [v0.0.21](v0.0.21.md) diff --git a/docs/changelogs/v0.0.24.md b/docs/changelogs/v0.0.24.md new file mode 100644 index 0000000..4c90aec --- /dev/null +++ b/docs/changelogs/v0.0.24.md @@ -0,0 +1,64 @@ +### Features + +* **Chronos 2 finetuning**: Finetuning is now supported for Chronos 2. You can adapt the pre-trained model to your data before forecasting via `ChronosFinetuningConfig`, with options for full parameter update or LoRA, and optional saving of the finetuned checkpoint for reuse. See [#323](https://github.com/TimeCopilot/timecopilot/pull/323) and the [Finetuning Foundation Models](https://timecopilot.dev/examples/finetuning/) example for a full walkthrough. + + ```python + from timecopilot.models.foundation.chronos import Chronos, ChronosFinetuningConfig + + # Chronos 2 with finetuning (full or LoRA) + model = Chronos( + repo_id="amazon/chronos-2-base", + alias="chronos-2-finetuned", + finetuning_config=ChronosFinetuningConfig( + finetune_steps=100, + finetune_mode="lora", # or "full" + save_path="./chronos-2-finetuned/", # optional: reuse later with repo_id=save_path, finetuning_config=None + ), + ) + fcst = model.forecast(df, h=12) + ``` + +* **PatchTST-FM foundation model**: Added [PatchTST-FM](https://huggingface.co/ibm-research/patchtst-fm-r1), a Time Series Foundation Model from IBM Research. Use it via the `PatchTSTFM` class. See [#312](https://github.com/TimeCopilot/timecopilot/pull/312) and the [PatchTST-FM example](https://timecopilot.dev/examples/patchtst-fm/). + + ```python + from timecopilot.models.foundation.patchtst_fm import PatchTSTFM + + model = PatchTSTFM() # defaults to ibm-research/patchtst-fm-r1 + fcst = model.forecast(df, h=12) + ``` + +### Fixes + +* **Chronos default dtype**: Changed Chronos default dtype from `bfloat16` to `float32` for better compatibility on systems without bfloat16 support. See [#309](https://github.com/TimeCopilot/timecopilot/pull/309). + +* **FlowState h=1 crash**: Fixed a crash in FlowState when using horizon `h=1`. See [#305](https://github.com/TimeCopilot/timecopilot/pull/305). + +* **AWS Bedrock connection**: Fixed Bedrock connection error caused by a missing description. See [#311](https://github.com/TimeCopilot/timecopilot/pull/311). + +* **Slow pip install**: Improved pip install performance. See [#306](https://github.com/TimeCopilot/timecopilot/pull/306). + +### Documentation + +* **sktime integration blog post**: Added a blog post on using timecopilot with the sktime forecasting ecosystem. See [#301](https://github.com/TimeCopilot/timecopilot/pull/301) and [#304](https://github.com/TimeCopilot/timecopilot/pull/304). + +* **Newsletter and contact**: Added newsletter signup and "Talk to Us" button to the docs. See [#303](https://github.com/TimeCopilot/timecopilot/pull/303). + +* **Contributing and issue template**: Fixed timecopilot fork links in `contributing.md` and updated the issue template to use the correct repository link. See [#314](https://github.com/TimeCopilot/timecopilot/pull/314) and [#315](https://github.com/TimeCopilot/timecopilot/pull/315). + +### Continuous Integration + +* **TOML check in CI**: CI now validates TOML configuration. See [#319](https://github.com/TimeCopilot/timecopilot/pull/319). + +### Other + +* **Hugging Face Hub**: Bumped `huggingface_hub` to v0.36.0. See [#300](https://github.com/TimeCopilot/timecopilot/pull/300). + +## New Contributors + +* @khuyentran1401 made their first contribution in [#301](https://github.com/TimeCopilot/timecopilot/pull/301) +* @rebot-eng made their first contribution in [#309](https://github.com/TimeCopilot/timecopilot/pull/309) +* @JoseCelis made their first contribution in [#311](https://github.com/TimeCopilot/timecopilot/pull/311) + +--- + +**Full Changelog**: https://github.com/TimeCopilot/timecopilot/compare/v0.0.23...v0.0.24 diff --git a/mkdocs.yml b/mkdocs.yml index 1eff931..a40294e 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -52,6 +52,7 @@ nav: - api/gift-eval/gift-eval.md - Changelogs: - changelogs/index.md + - changelogs/v0.0.24.md - changelogs/v0.0.23.md - changelogs/v0.0.22.md - changelogs/v0.0.21.md diff --git a/pyproject.toml b/pyproject.toml index 28c197f..d1aaae7 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -106,7 +106,7 @@ license = "MIT" name = "timecopilot" readme = "README.md" 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the same events pageviews dataset as in the [Chronos family](chronos-family.ipynb) example." + "We use the same events pageviews dataset as in the [Chronos family](https://timecopilot.dev/examples/chronos-family/) example." ] }, { From b3ad4542869a15f7ada9e12b3961e37a24a128f2 Mon Sep 17 00:00:00 2001 From: azul Date: Mon, 16 Mar 2026 23:04:08 -0700 Subject: [PATCH 22/23] fix: add correct version Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com> --- docs/changelogs/v0.0.24.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/changelogs/v0.0.24.md b/docs/changelogs/v0.0.24.md index 4c90aec..ed9ec7c 100644 --- a/docs/changelogs/v0.0.24.md +++ b/docs/changelogs/v0.0.24.md @@ -51,7 +51,7 @@ ### Other -* **Hugging Face Hub**: Bumped `huggingface_hub` to v0.36.0. See [#300](https://github.com/TimeCopilot/timecopilot/pull/300). +* **Hugging Face Hub**: Bumped `huggingface_hub` to v0.36.2. See [#300](https://github.com/TimeCopilot/timecopilot/pull/300). ## New Contributors From f749c03dc2994fc2bbad49a77513aa596ffcb164 Mon Sep 17 00:00:00 2001 From: AzulGarza Date: Mon, 16 Mar 2026 23:20:43 -0700 Subject: [PATCH 23/23] fix: latest changelog --- docs/changelogs/v0.0.24.md | 23 +++++++++++++++++++---- 1 file changed, 19 insertions(+), 4 deletions(-) diff --git a/docs/changelogs/v0.0.24.md b/docs/changelogs/v0.0.24.md index ed9ec7c..36cfd27 100644 --- a/docs/changelogs/v0.0.24.md +++ b/docs/changelogs/v0.0.24.md @@ -3,28 +3,43 @@ * **Chronos 2 finetuning**: Finetuning is now supported for Chronos 2. You can adapt the pre-trained model to your data before forecasting via `ChronosFinetuningConfig`, with options for full parameter update or LoRA, and optional saving of the finetuned checkpoint for reuse. See [#323](https://github.com/TimeCopilot/timecopilot/pull/323) and the [Finetuning Foundation Models](https://timecopilot.dev/examples/finetuning/) example for a full walkthrough. ```python + import pandas as pd from timecopilot.models.foundation.chronos import Chronos, ChronosFinetuningConfig + df = pd.read_csv( + "https://timecopilot.s3.amazonaws.com/public/data/events_pageviews.csv", + parse_dates=["ds"], + ) + # Chronos 2 with finetuning (full or LoRA) model = Chronos( - repo_id="amazon/chronos-2-base", + repo_id="autogluon/chronos-2-small", alias="chronos-2-finetuned", finetuning_config=ChronosFinetuningConfig( - finetune_steps=100, + finetune_steps=10, finetune_mode="lora", # or "full" save_path="./chronos-2-finetuned/", # optional: reuse later with repo_id=save_path, finetuning_config=None ), ) - fcst = model.forecast(df, h=12) + + fcst_df = model.forecast(df, h=12) + print(fcst_df) ``` * **PatchTST-FM foundation model**: Added [PatchTST-FM](https://huggingface.co/ibm-research/patchtst-fm-r1), a Time Series Foundation Model from IBM Research. Use it via the `PatchTSTFM` class. See [#312](https://github.com/TimeCopilot/timecopilot/pull/312) and the [PatchTST-FM example](https://timecopilot.dev/examples/patchtst-fm/). ```python + import pandas as pd from timecopilot.models.foundation.patchtst_fm import PatchTSTFM + df = pd.read_csv( + "https://timecopilot.s3.amazonaws.com/public/data/events_pageviews.csv", + parse_dates=["ds"], + ) + model = PatchTSTFM() # defaults to ibm-research/patchtst-fm-r1 - fcst = model.forecast(df, h=12) + fcst_df = model.forecast(df, h=12) + print(fcst_df) ``` ### Fixes