{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "# download from source\n", "# !pip install sktime[dl]\n", "\n", "# download from fork (because 2 PRs are not merged yet)\n", "# !pip install git+https://github.com/geetu040/sktime.git@gsoc-submission" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "# import functions\n", "from sktime.datasets import (\n", "\tload_airline,\n", "\tload_unit_test,\n", ")\n", "from sktime.utils.plotting import plot_series\n", "from sktime.utils._testing.hierarchical import _make_hierarchical\n", "from sklearn.model_selection import train_test_split\n", "\n", "# to avoid jax runtime errors\n", "import os\n", "os.environ[\"JAX_PLATFORM_NAME\"] = \"cpu\"\n", "os.environ[\"JAX_PLATFORMS\"] = \"cpu\"\n", "\n", "# to avoid unwanted lengthy warnings\n", "import warnings\n", "warnings.filterwarnings(\"ignore\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Overview" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "List of all estimators, authored or co-authored by me" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "2024-08-23 23:44:55.843500: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory\n", "2024-08-23 23:44:55.843546: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.\n" ] }, { "data": { "text/html": [ "
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nameobjectcapability:global_forecastingignores-exogeneous-X
0AutoRegressiveWrapper<class 'sktime.forecasting.compose._autoregres...TrueFalse
1DummyGlobalForecaster<class 'sktime.forecasting.dummy.DummyGlobalFo...TrueFalse
2LTSFTransformerForecaster<class 'sktime.forecasting.ltsf.LTSFTransforme...NoneTrue
3MVTSTransformerClassifier<class 'sktime.classification.deep_learning.mv...NoneNone
4NeuralForecastRNN<class 'sktime.forecasting.neuralforecast.Neur...NoneFalse
5TimesFMForecaster<class 'sktime.forecasting.timesfm_forecaster....TrueTrue
6TinyTimeMixerForecaster<class 'sktime.forecasting.ttm.TinyTimeMixerFo...TrueTrue
\n", "
" ], "text/plain": [ " name \\\n", "0 AutoRegressiveWrapper \n", "1 DummyGlobalForecaster \n", "2 LTSFTransformerForecaster \n", "3 MVTSTransformerClassifier \n", "4 NeuralForecastRNN \n", "5 TimesFMForecaster \n", "6 TinyTimeMixerForecaster \n", "\n", " object \\\n", "0 ,\n", " )" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_series(y, preds)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "If we try to forecast on a different horizon than the one passed during fit, we will run into runtime errors" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "# forecaster.predict(fh=[1, 2, 3])\n", "# forecaster.predict(fh=[2, 5])\n", "# forecaster.predict(fh=list(range(1, 50)))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now, we will forecast multiple forecasting horizons using the same forecaster by wrapping that with AutoRegressiveWrapper" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "from sktime.forecasting.compose import AutoRegressiveWrapper\n", "\n", "forecaster = PytorchForecastingNBeats(trainer_params={\n", " \"max_epochs\": 20,\n", "})\n", "wrapper = AutoRegressiveWrapper(forecaster, horizon_length=5)" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "False" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "wrapper.get_tag(\"requires-fh-in-fit\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "%%capture\n", "\n", "wrapper.fit(y)\n", "preds = wrapper.predict(fh=list(range(1, 40)))" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(
,\n", " )" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_series(y, preds)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "the forecaster also predicts better when wrapped around the AutoRegressiveWrapper" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "similary we can forecast for other horizons as well that we could not do without AutoRegressiveWrapper" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "%%capture\n", "\n", "preds = wrapper.predict(fh=[1, 2, 3])\n", "preds = wrapper.predict(fh=[2, 5])\n", "preds = wrapper.predict(fh=list(range(1, 50)))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "AutoRegressiveWrapper has global capability and works only with global forecasters" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "True" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "forecaster.get_class_tag(\"capability:global_forecasting\")" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "True" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "wrapper.get_class_tag(\"capability:global_forecasting\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "It also supports exogenous data if the inner forecaster supports so" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "False" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "wrapper.get_class_tag(\"ignores-exogeneous-X\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# LTSFTransformerForecaster" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "- **Title:** [ENH] De-Novo Implementation of LTSFTransformer Based on Cure-Lab Research Codebase\n", "- **Status:** Merged\n", "- **Pull Request:** [#6202](https://github.com/sktime/sktime/pull/6202)\n", "- **Related Issue:** [#4939](https://github.com/sktime/sktime/issues/4939)\n", "- **Research Paper:** [Are Transformers Effective for Time Series Forecasting?](https://ojs.aaai.org/index.php/AAAI/article/view/26317)\n", "- **Official Code:** [cure-lab/LTSF-Linear](https://github.com/cure-lab/LTSF-Linear)\n", "- **Sktime Source Code:** [sktime/forecasting/ltsf.py](https://github.com/sktime/sktime/blob/main/sktime/forecasting/ltsf.py)\n", "\n", "This pull request introduces the `LTSFTransformer`, an implementation based on the paper \"Are Transformers Effective for Time Series Forecasting?\" which explores the application of transformer architecture to time series forecasting.\n", "\n", "To begin the implementation, I structured the transformer architecture in the [sktime/networks/ltsf/layers](https://github.com/sktime/sktime/pull/6202/files#diff-0a18272d47c22fc6c495216fa5c757ee77153b9ddbc04daa00895a00ffa472a1) directory, along with the PyTorch dataset class [PytorchFormerDataset](https://github.com/sktime/sktime/pull/6202/files#diff-af8d474dbf509d241fd02bcc6071c7758ca194d93d3a9f1e3f25ebc8db1809ec).\n", "\n", "Next, I developed the [`LTSFTransformerNetwork`](https://github.com/sktime/sktime/pull/6202/files#diff-598a15fdb2a333630aad06167788a7f9ec31eb46d4aae59687b0be38c872a7eb) interface class by leveraging the base PyTorch forecasting class, which connects to the network created in the previous step.\n", "\n", "Throughout this implementation, I gained valuable insights into transformer architecture, particularly in applying various embeddings and encodings to temporal features in time series data." ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(
,\n", " )" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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Gb7AbN/dxWFY6GieOxs593Olrmturm0shGjiT1N84HDredtttuOGGGzB16lQIgoBFixYBAPbs2YOJEye6/IBEREREREREZFuHVg8A+O9NM3DgwQU2N1RnmgK1k2yvtpBfpMamE3UAgP/bWY78IrXT15Laq9Wt3ejoCc5wTJW5DLHn/9H0kYCQxBwkL/0AqszrnL6mInoMBEU4oO+BrqXCFcckD3I4dPzjH/+I119/Hb/4xS+wa9cuhIYaN2LJ5XI88sgjLj8gEREREREREVkTRRFHzrYCAKamRg14v0xW4VnJL1JjxbpCdOsNAIBTjR1Ysa7Q6eAxPiIEseFKAEB5MLdYq4yhd/joRRh5c+GwAkcAEAQZlHHGcQFssfY/DoWOWq0Wl156KXJzc3H//fdj1KhR5s/deuutuPbaa11+QCIiIiIiIiKyVtnUifZuPZRyARMGWYQiVTpWt3Sh01QZGexWFxRbTB8UYZyJ+VRBidPXHM/ZmdA2lwIAFHGZLrumkstk/JZDoaNSqcThw4fddRYiIiIiIiIistORs20AgInJkVDKB/7nfXyEklV4/ZTUaaz3LIu9i2WcYZ7rGMSzM7XNZQAAZSxDR3Kivfrmm2/G66+/7o6zEBEREREREZGdpNBxSsrArdUAIAhCbxUe5zoCALJsVIYKApCd7PwW63Gm1ziY29jdETqGMHT0WwpHH6DT6fDGG29gy5YtmDlzJlQqy1+oL774ossOR0RERERERES2HTXNc5wyyDxHSWaiCvuqWxg6mqxako0V6wrNHwuCsdJx1eIsp68ptbEHazWpKBqgaz4JwD2Vjj1NJyCKIgRBGOIR5CscDh2PHDmCGTNmAABKSixnHfAnnoiIiIiIiMgzjp4zVjpOTY0e8r5S628wzxvs69opqQhTyNClMyBELmBSchRWLcmyuf3bXuODvNJR314DUdcJCHIoose67LrK2AmAIIfY0wa9pgaKyJEuuza5l8Oh4/bt291xjiE9++yzyM/Px4kTJxAeHo4LLrgAzz33HLKzs71yHiIiIiIiIiJv0RtEHDtnnD842OZqiVSFd5KVjgCA4tp2dOkMiFDK0fz05VAMMhPTXlKwe7qpEzq9wSXX9CdSa7UiJgOCXOmy6wryEChjx0PbVAJt4wmGjn7E6V8BZWVl2Lx5Mzo7OwEAoth/BKtrff3117j77ruxe/dufPXVV9BqtViyZAk0Gv6GSURERERERMHlZIMG3ToDwpUyZMRHDHn/zETOdOxrT2UTAGBWeozLwsER0WEIVcigM4iobO50yTX9iTvmOUrMLdYNx11+bXIfh39lNTQ04NJLL0VWVhauvPJKqNVqAMAdd9yBBx980OUHlGzatAk/+9nPMGXKFEybNg1vvfUWKisrsW/fPrc9JxEREREREZEv6rtERiYbetRZpqkKr7K5Ez06g1vP5g/2VDYDAGaPjnPZNWUyAePipRbr4JvrqHNj6CjFV407f4/qd2ZCU7bBDc9BruZw6Hj//fdDqVSisrISERG9301ZuXIlNm3a5NLDDaalpQUAEB8fP+B9uru70draavGDiIiIiIiIyN8dUZtCRztaqwEgJSoUqhA5DCJwqin4ArH+fqgyVjrOTo916XXNszODsKJU21QKwPWho6ZsAzpOfmz8QNRDW38EtRtXMnj0Aw6HjgUFBXjuuecwatQoi9snTJiA06dPu+xggzEYDPjtb3+LefPmYerUqQPe79lnn0VMTIz5R3p6ukfOR0REREREROROvZurh14iAxgXv0pzHYMxEOuro0eHw6bQds4Y11U6AsC4xOBdJmOe6eji0LFp99MA+lbzigAENO9+xqXPQ67ncOio0WgsKhwljY2NCA0NdcmhhnL33XfjyJEjeO+99wa936OPPoqWlhbzj6qqKo+cj4iIiIiIiMidejdX21fpCPRuVw720PHAmVboDSLSokMxKibMpdeWKh3Lg6y9WjTooWspBwAo41wbOuqaSmAMGi2eEdqmYpc+D7mew6HjhRdeiLffftv8sSAIMBgMeP7553HxxRe79HC2/OY3v8HGjRuxfft2q2rL/kJDQxEdHW3xg4iIiIiIiMifdev0KKkzBoeOhY6mSscgC8T6k5bIzE6PhSAMPQ/TEZkJwVnpqGurgqjvBmRKKKJGu/TairgsWFY6AoAAZVy2S5+HXE/h6AOef/55XHrppSgsLERPTw8eeughHD16FI2Njdi1a5c7zgjAuB37nnvuwYYNG7Bjxw5kZGS47bmIiIiIiIiIfFVJnQY6g4iYMAVGOlCpJ7VXnwzySse9blgiIxmf2FvpKIqiy0NNX2VeIhOTAUHmcNQ0qLi5j6N240oYg0ep4lFE7NzHXfo85HoOVzpOnToVJSUlmD9/Pq699lpoNBosX74cBw4cwPjx491xRgDGlup33nkH7777LqKionD27FmcPXsWnZ3Bt4aeiIiIiIiIgpe0uXpqapRDoRZnOhrtlSodR8e6/NoHzxiX3mp69Jj65x3IL1K7/Dl8kbvmOQKAKnMZkpe+j5DEHEAWYr5dHp7o8uci13Iqfo6JicFjjz3m6rMM6p///CcAYOHChRa3v/nmm/jZz37m0bMQERERERERecsR0xKZyQ60VgO9oWNFYwd0egMUcofrkPxebVs3TjV1QhCA81y8uTq/SI0b39lv/vhEbTtWrCvE+ltnYXlOmkufy9dIoaMyLsst11dlLoMqcxkAoH7Lr9B25HXUb70bI3/yAwR5yBCPJm9xOHQ8fPiwzdsFQUBYWBhGjx7tloUyoth/aCgREREREREFivwiNVYXFKOkToOsJBVWLckO+KDGWUfNlY6O7S0YGR2GUIUM3ToDqpq7kJFgvSQ20EnzHCclRyI6TOnSa68uKO7XAAwIAvBUQUnAv5fNoaMbKh37i5v/DDQnP4W28Tha9v0fYmc/7PbnJOc4HDrm5eWZy7elILBvObdSqcTKlSvxyiuvICzMtVugiIiIiIiIKPDkF6mxYl2hObApUrcFTYWYM46edXxzNQDIZALGJ0Tg2Ll2lDVogjJ03FvVDACYne76eY4ldRrrHcsiUFzX7vLn8jW65lIAngkd5WHxiL/oOdRvvh3Ne56BKvt6KGPGuf15yXEO11Jv2LABEyZMwKuvvopDhw7h0KFDePXVV5GdnY13330Xr7/+OrZt24bHH+dATyIiIiIiIhraHzcXA7BdIUaWNN06lDcat087GjoCfTZYB+lcR3fOc8xKUlnvWBaA7ORIlz+XLxENOmhbKgB4JnQEgMiJP0FY+sUQ9V1o2P5bdsf6KIcrHZ955hn89a9/xWWXXWa+LScnB6NGjcITTzyBvXv3QqVS4cEHH8QLL7zg0sMSERERERFRYNHqDTh2rs3q9mCpEHPU8dp2iCKQHBmCpEjHR5uND+JlMgaDaN5cPWeM6ysdVy3JNlbsCsb3L2D876rF7plz6Ct0racBgw6CPAzyqFEeeU5BEJBw8Us489+Z6Dy1CR2lH0GVtcIjz032c7jSsaioCGPGjLG6fcyYMSgqKgJgbMFWq4NjQxMRERERERE5R28Q8dP/HYDBRpFSMFSIOeOIk/McJZmmSseTDcEXOpbWa9DSpUOYQuZUlehQluekYf2ts5CbGg2ZqeTxpzNHYVmAjwjo3Vw9DoLgueVEIfHZiJ31ewBA7Zc/RcXfolD9zkxoyjZ47Aw0OIffDRMnTsSaNWvQ09Njvk2r1WLNmjWYOHEiAODMmTNISUlx3SmJiIiIiIgooBgMIu784BDeP1iD/kuUBQRHhZgznN1cLclMNM5xDMZKR2mJzMxRMVC6aXP38pw0HHhwAdZeMwUAoG7rcsvz+BJPLpHpTxk/yfg/og7Qd0NbfwS1G1cyePQRDrdXv/zyy7jmmmswatQo5ObmAjBWP+r1emzcuBEAUF5ejl//+teuPSkREREREREFBFEU8ZsNRXirsApymYD3b5kJAPjJO/vRrTcgIyECf146OeArxJzh7BIZSWaiVOnYAYNBhEzWfwph4Npjaq2ePdr1rdX9LclKAgDsLG9ER48OESEOxy9+Q+fF0LH5h+cA653haN79DFSZyzx+HrLk8Lv+ggsuQEVFBf773/+ipMQ41Pf666/HTTfdhKgo4296t9xyi2tPSURERERERH4tv0iN1QXFKK7TICpUgXpNDwQBWHdjnnlD9SUTEvHliVo8ckkmA8cBDDd0HB0bDoVMQLfOgDOtXUiPDXfl8XzaD25cItPfxORIpMeGoaq5CzvLG3H5xGS3P6e3aJuk9uoJHn9uXVMJYL0zHNqmYo+fhaw5FbVHRUXhl7/8pavPQkRERERERAEov0htXLABYzzQrTOO6/rl+WNw04zexRPjEoytv+UNHV44pe9r7tSiusXYrjslxbnQUSGXISM+AqX1Gpys1wRN6Nil1eOQ2tiaPscDlY6CIGBJdjJe31OJzcW1gR06erHSURGXBW39EVgGjwKUcdkePwtZcyp0LC0txfbt21FbWwuDwWDxuVWrVrnkYERERERERBQYVhcUWzRAAsaGyO8qmizuJ4WOFY0MHW2RqhzTY8MQE650+jrjE4yhY1mDBgszE111PJ92sKYVWr2I5MgQjInzTNB6WVYSXt9TiYLiOo88nzeIei10racAAMo4z4eOcXMfR+3GlX1uMf5OEzv3cY+fhaw5HDr++9//xq9+9SskJiYiNTUVgtA7/0EQBIaOREREREREZKGkTmOjARIormu3uG1cvHHeICsdbZOWyDi7uVoyPlEFFNehrD54Xmdpiczs9DiLHMOdLp2QCJkAHK9tR1VzZ0BWlepaKwBRD0ERAblqhMefX5W5DMlL30f91rth6KyHLDwBiZf+A6rM6zx+FrLmcOj49NNP45lnnsHDDz/sjvMQERERERFRgMlKUqFI3WZZ6SgA2cmRFvfrba8Ovs3K9jhiqnSc7GRrtcS8TCaINljvlZbIjIn12HPGRYRgzug4fH+6CZuLa/HzOWM89tyeom0qBQAoY8d7LMztT5W5DPp2NRp2/BZhI+czcPQhDu+Ib2pqwvXXX++OsxAREREREVEAWrUk2ypwFEVg1eIsi/tlxBtDx4YOLVo6tR48oX8Y7hIZSWaCMXQsC6Jwd6+p0tET8xz7WpJt3GIdqC3W0jxHhRfmOfaliDYGurqWU149B1lyOHS8/vrrUVBQ4I6zEBERERERUQBanpOGW2aMBADIBCA3NRof3TrLakN1ZKgCyZEhAIByznW0Yg4d01xT6VhWr4Eo9m98Dzz1mm6cNLXsn5ce69HnvizbuEBmS2k9dHrDEPf2P95cItOXImYsAEDXetqr5yBLDrdXZ2Zm4oknnsDu3buRk5MDpdJyeO29997rssMRERERERFRYGjt1gEA1lw1Gb9bOH7A+41LUKG2vQflDRpMHxnjqeP5vNq2btRpeiAIwKR+bemOGhsfDpkAaHr0ONfWjdToMBed0jdJrdXZSSrEDmMBjzNmjYpBbLgSzZ1aFFa3YO4Yz1Zaups5dIyb4NVzKKKMlY6G7iYYulsgC+XvHb7A4dDx1VdfRWRkJL7++mt8/fXXFp8TBIGhIxEREREREVkQRRG7ThnbW+eNHTx0GRcfgd2nm7hMph9pnuP4BBUiQhz+p7yFUIUco2PDcaqpE2UNmqAJHT3dWg0ACrkMiyYkYv1hNTYX1wZc6Khr8o1KR1lIJGThSTB01kHbegqhSdO8eh4ycvh3qoqKCnecg4iIiIiIiAJUSZ0G9ZoehClkmDFq8AqkDGmZDNurLfRurh5ea7VkfKIKp5o6cbK+A/MzElxyTV8lzXM8b3SsV55/SXYS1h9Wo6C4Dk8uyfbKGdzBoOuCrq0SAKCM9W6lI2Cc69jTWQddC0NHX+HwTEdJT08PiouLodPpXHkeIiIiIiIiCjDfVjQCMM7TC1XIB73vONMymQpWOprlF6mxuqAEAPDdqUbkF6mHfc3xQbJM5qPDNfiqxLjE5a/flLvktXOUNNdxT2UTmjp6PP787qJrKQcgQgiJgiwi2dvHgVJaJsO5jj7D4dCxo6MDd9xxByIiIjBlyhRUVhpT7XvuuQdr1qxx+QGJiIiIiIjIv+06ZQwd52XED3nfcax0tJBfpMaKdYVoNG3zrmvvwYp1hcMOz6RlMifrAzd0zC9S4/q390Fv2pVzsr7DJa+do9JjwzEpORIGEdhaWu/R53anvktkBEHw8mkARfRYAAwdfYnDoeOjjz6KQ4cOYceOHQgL6537sGjRIrz//vsuPRwRERERERH5v12mSsd5Y4cOHaUKvFONHdAbAn+z8lBWFxSjb5wjAhAE4ClT5aOzMhON4W5ZAIeO7nrtnLEkOwkAsNlUdRkIdD6yuVrSGzpyLKCvcDh0/Pjjj/H3v/8d8+fPt0iyp0yZgpMnT7r0cERERERERL4mv0iNvLU7EPHI58hbu8Mr7Zr+pLatG6WmYOuCIZbIAMCI6DCEyGXQGURUN3e6+3g+r6ROg/7RqygCxXXtw7pupincLa3XQBQDM9w9XtvultfOGVKLdUFxrc+83pqyDah+ZyZO/S0K1e/MhKZsg0OP1/rIEhmJImYsAO9WOg73NQ00DoeOdXV1SE627tXXaDQ+UU5LREREREQ0XAMFi1Kra5G6DV06A4rUbV5p1/QnUmv1lJQoxEWEDHl/mUxARnw4ALZYA0BWkgr9/6UtCEB2cuSwriu1sbd06dDYoR3WtXyNKIpYu+MktHrrcM8Vr50zLhoXj1CFDFXNXThR6/nQsz9N2QbUblwJbf0RiPpuaOuPoHbjSodCMqm9WuEroaNppqO29ZRXgl1XvKaBxuHQcdasWfj888/NH0tB42uvvYbzzz/fdScjIiIiIiLygoGCxZ++ux93fnAIAMzVU95s1/QXjsxzlIwzVeGdDPAlJ/ZYtSTbolpPEIzVeqsWZw3ruhEhCsRHKAEAI1cXBEzVrlZvwF3rD+P3G4+Zb5Pqo1z12jkjIkSBC02/BjYXe7/Fumn30wAE9PvdDM27n7H7Gr0zHb2/uRroDR3FnjYYups8/vyueE0DjcLRB/y///f/cMUVV+DYsWPQ6XT461//imPHjuG7777D119/7Y4zEhEREREReYw0B67vPxsB4J39Z2ze31vtmv7CPM8xY+jWakmGaYN1OTdY47opqYgKVaCtW4cQuYBJyVFYtSQLy3LShnXd/CK1ucKxRy+aw/X1t87C8mFe25OMm72LUVKnwbiECMgEAUfOtkEmAC9cPQXpsWF4+qtSFNe1Izsp0iWvnbPSoo17MX732VG89UMlVi3J9tprrWsqAaybz6FtKrbr8QZtB/Tt1QAAZZxvVDrKFOGQR6RC33EWupZTkIfZ/40OVxjuaxqIHA4d58+fj4MHD2LNmjXIyclBQUEBZsyYge+//x45OTnuOCMREREREZHH2JqhBwAyAUhShaC2vceq8swb7Zr+oKNHh/1nWgAA88cm2P04qfW3gu3VOHK2DW3dOqhC5GhYfTlCFA43LNq0usAyCOlbtesvoaNUlSx9k+DYOWP4H6aQ4cOfzsJVk1MAAD/KHeG9Q5rkF6nxn33GkM4gwushryIuC9r6on63ClDGZdv1eF2LcaeHLDQWsjD7f227myJmrDF0bD2F0JQZnn3uuCxo64/AMni0/zUNRE79bjV+/Hj8+9//xt69e3Hs2DG88847DByJiIiIiCggZCWprG4TBCAnLRov/yjX1DDXy1vtmv7gh6pmaPUi0qJDMdY0p9EeUujISkdgW1k9AODCjHiXBY6AMVzvz9+qdvtXJUtGx4WbA0df4UubtAEgbu7jNm4VEZX7S7ser20qBWCc5+hL+z2kFmtd6ymPP7fxNbUMHAERsTZf6+Dg8O9Y+/fvR1FRbxr+ySef4LrrrsMf/vAH9PT0uPRwREREREREnvbIJZbzyfrOgVuek4b1t84yh2JKmYCPbp3ltXZNX7frlHGu2vyx8Q4FE+PijcFvOWc6YlupMXS8ZEKSS6/rrgU1njRQVXJlk+9tPXfXFnJnhadfCvO3T2QhEOTG1u+2oldg0A796653nqNvtFZLepfJeH6DtSpzGSIn/9T4gSBDSGIOkpd+AFXmdR4/i69wOHS86667UFJiTOLLy8uxcuVKRERE4MMPP8RDDz3k8gMSERERERF5UlSocQqVUiYgTCFDbmq0RbC4PCcNBx5YAJkAaA0i5o6xf1ZhsJHmOV7gwBIZoHemY0OHFi2dgbVZ2RE6vQFflzcAAC7JdG0Lq9WCGvhf1a4/Bae+dtYu9W4AIhTRGci4tx0jby2CLDwJPXWHUF/w80G3P2vKNqClcC0AoLNym09tZ1ZEZwAAdC2nvPL8oimwjTv/Txh5c2FQB46AE6FjSUkJ8vLyAAAffvghFixYgHfffRdvvfUWPvroI1efj4iIiIiIyKM+PXYWAPDzuWPQseYqHHhwgVUlY2SoApNTogAAeyubPX1Ev2AwiPjOtLl6voOhY1SYAkmqEADBPddxX3UL2rp1iAtXYtqIGJdeW6rajVDKAQCjYsL8rmrXXZu93UE6q6+MZug68w0AIGzkPACAMnoMUpZ+AMiU0JR+hOa9z9p8nKZsA2o3rjRvhzZ01qF240qfCR6VDrRXa8o2oPqdmTj1tyhUvzPTJV9Dl3oPACA0be6wrxUIHA4dRVGEwWAAAGzZsgVXXnklACA9PR319fWuPR0REREREZEHGQwiPj9WCwC4eoiZcLNHGysc91Q2uf1c/ujouTa0dBkXoExLi3b48ea5jkEcOkrzHBeOT4Bc5vq5ectz0nD3vLEAgMXZyX4VOALG81883lgBKhcEq6pkXyKFvFNSo8y3vXnjNK+dtatmFwAgbOSF5tvCRs5D4iV/BwA0f/9HVL6eaRHI9TQeR/22e/pdyRilNu9+xkMnH5wiZiwAQNd6eshqzdqNK6GtPwJR3w1t/ZFhh6e6tmrjRm9BjtDUWU5fJ5A4HDrOmjULTz/9NP7zn//g66+/xlVXXQUAqKioQEqKbw1qJSIiIiIicsT+My2oae1CZKgcFw/RzjpndCwA47IUsia1Vs8dEweF3PEFKOMSpLmOwRs6bjeFjhdnJrrtOaQqVKkq1Z9o9QYcUrcCALb+8nybVcm+ZHlOGg7/biHGmwL1UTH2L1dyJYOuCz1nfwDQW+koiZp6G8LHXgEA0LdVmgK5ItRuXIkzb0+DoaPWxhVFaJuKbdzueYrIdAACRF0HDJ11A96vaffTgMUaouGHp93q3QCAkMQcyJTWC8mCkcO/8//lL3/B/v378Zvf/AaPPfYYMjONQ0PXr1+PCy64wOUHJCIiIiIi8pTPjp0DACzJSkKoQj7ofWf3CR0NhoEraoLVLlOIdcFYx1qrJb0brINzmUyXVo9vTcHtpRPcFzpKPz8nattRr+l22/O4w9cnG9DYoUWSKgTzHGzh96bpI42t8gfOtHrl+XvOFULUd0MWkQxF7ASrz+vaqgZ8rKCMAqynU0IZl+3aQzpJUIRCHjkSgLHacSC6phJY7z0fXnjK1mprDoeOubm5KCoqQktLC5588knz7X/+85+xbt06lx6OiIiIiIjIkz47apznuHRy6pD3nZIShQilHK1dOpyo9c4GWl8mVTo6Os9RMs60TCZYZzruPt2ELp0BqVGhmOjGZSMJqhBMMl3/u1P+NSogv0gNALh2aqpb2s/dZdoI47iBQzUtXnn+rjPfAgDCRs63uVVe11xq+4HyUCRd9hpgMZ3SWC0YO/dxdxzVKeYN1i0VA98nLgvW4SkgNz3WGVKlY1jaHKevEWgcDh2rqqpQXV1t/njv3r347W9/i7fffhtKpdKlhyMiIiIiIvKUquZOHKxphSAAV01KHvL+CrkMM0cZK5b2ssXawpmWTpxq6oRMAOaOdm67t1TpeDJI26uleY6XZCbaDIZcSdouLgXF/sBgEPHxEeM3CZb7cEu1Lb2Vjl4OHUfMt/l524GcgJC4bKgylyF56fsIScyBIA9FSGIOkpd+4FNbmhXmZTIDVzrGzX0c1pWOgKG7Ffoux8N3UdeN7roDAFjp2JfDoeNNN92E7du3AwDOnj2LxYsXY+/evXjsscewevVqlx+QiIiIiIjIEz47amytPn9MHJIiQ+16DJfJ2Larwvh6TBsRjagwhVPXkGY6nmrsgD4I29c9Mc9RMt/UYr3Lj+Y67q5swtm2bkSHKXCJB14jV8ozbSI/UduOTq3eo88tGvToUn8PwFjpaEtvIGe7mlGVuQwjby7E2HvaMPLmQp8KHAFAaV4mc2rA+6gyl5lnV0KQQxk/GbKwJBg6zqLui5shGnQOPWd37QFA3wNZeBIUMeOcPHngcTh0PHLkCGbPng0A+OCDDzB16lR89913+O9//4u33nrL1ecjIiIiIiLyiI3HjFVTV9vRWi2RlsnsZehoYbjzHAFgRHQYQuQy6Awiqps7XXU0v9DercOeymYA7p3nKJHmIRZWtaDLwyGYs6TW6qsnpyBE4fiiIm9Kiw5FcmQIDCJQpB7+XEdN2QZUvzPTYtP0QHrqD0PsaYMQEo2QxByb9/GHasbBKKLHAhi80hEADN3G37eTLnsdo356EKnLP4egiEBn5Vdo2uVYu3j32d7WandXJvsTh39larVahIYav+u3ZcsWXHPNNQCAiRMnQq1Wu/Z0REREREREHtDWpcO2sgYAxhDDXtIymcPqNo9XLPmy4c5zBAC5TMDYeON23/Igm+v4TXkDdAYRGfERGGuabelO4xMikBIVih69AYXVzW5/vuESRREbiozfJPDlbdUDEQTBXO14sGZ4oaOmbANqN66Etv6IadP0EdRuXDlg8NhV/Q0AIGzEPAiygZdl+Xo142B6Q8eBZzqK+h701JraoVPOM/43OQ9JS14DALTsexHtx/9r93N2meY5srXaksOh45QpU/Cvf/0L33zzDb766itcfvnlAICamhokJCS4/IBERERERETu9lVpHXr0BoxPiMCkFPuXdqTHhiM1KhR6g4j91d6Zz+ZL8ovUyHlhB/abZtW1djnWotiftEymPMjmOkoBuCdaqwFjCDZvrHFUgNQa78sO1bSiorED4UoZLstK8vZxnJLnormOTbufhtT+bGRsi27e/YzN+3fVSEtk5g3reX1Z70zHSoiiweZ9ekwhrSw0DorYTPPtqqwViJn9CACg7qs7UfXWZLsqSLu5udomh0PH5557Dq+88goWLlyIH//4x5g2bRoA4NNPPzW3XRMREREREfmT3q3VKQ61xgmCYG6xDva5jvlFaqxYV4hjZ9vMt921/rC5DdYZGaa5juWNmmGfz59sNy+R8Vxhzzw/WiYjvacuz06GKtS5maHelmfeYD28SkddUwmsF6KI0DYVW91XFEV0ndkFYOB5joFAEZUOCHKI+m7oNWdt3qf77A8AgNDU86x+z487/48ISZ4BGHTQNZcNWUGqa6uCvv0MIMgRmjLT9V+QH3M4dFy4cCHq6+tRX1+PN954w3z7L37xC/zrX/9y6eGIiIiIiIjcTW8Q8fnxWgDANVPsn+coOc+0TOaHIN9gvbqg2KLeCgAEAXiqoMTpa0qVjhVBVOnY2NGDAzXG6jdPVToCwDzT/M3vTjfC4OOLe/y5tVoibbA+XNNq16Kk/CI18tbuQMQjnyNv7Q5z8DrQpmllXLbVNbRNxTB01kGQhyE0OXDDMUGmgCJyFICB5zp2n5NCx1nWjxdkEPVd/W4duIJUaq0OScqFTKly/uAByKlpq3K5HHFxcRa3jR07FsnJyS45FBERERERkafsPt2Eek0PYsIUTs0gNFc6ng7uSseSOo11vZUIFNe1O33NcQnB116942QDRBGYnBKJtOgwjz3v9JExCFfK0NihxYla53/O3K24th1Hz7VBIROw1IH5q74mM1GFCKUcHVo9SusHf72lKuIidRu6dAYUqduwYl0h8ovUNjZNA303TfclVTmGps6GoAh13Rfjg3pbrE/Z/Ly50tE0z7E/XfNJG7fariBla/XAnAod169fjxtuuAFz587FjBkzLH4QERERERH5k8+OnQMAXDkpBUq54/9EmjUqFoIAnGrqRG1bt6uP5zeyklTW9VYCkJ1s/4zM/syhYxAtktlWamyt9mSVIwAo5TLMMVXtStvHfdGGI8YKv0snJCI2XOnl0zhPLhMwzdRifeDM4C3W/auIRfRWEffdNA2Z6fWQhdhs8+06Y1oiMypwW6slipixAGyHjobuVmgbTwAAQlOsKx0BxypIu9W9m6vJksN/or700ku47bbbkJKSggMHDmD27NlISEhAeXk5rrjiCneckYiIiIiIyG02Huud5+iMmHAlJiYZg7W9QdxivWpJtlVrtSgCqxZnOX3NcfHGVsV6TQ9au7TDPKF/6J3n6NnQEfCPuY6B0FotkULHg0Mskxmqirh303Q7QkfMAww9aNz5sNV1uqV5jiOCIHQ0VTpqbbRXd9fuAyBCETUGcpXt3/ftrSA16LrQLW3BZqWjFYdDx3/84x949dVX8be//Q0hISF46KGH8NVXX+Hee+9FSwu3tRERERERkf84Wa/BsXPtkMsEXJ7t/BZcqUIsmJfJLM9Jw+OLJgAw/jM9NzUaH906a1jhUFSYAkmqEADB0WKtbu3C8dp2CAKwYLznlshIpLmOvlrpWNnUgR+qmiEIwLVOzF/1NdJcx4M1g2cpWUnWcwJtVRELgoCEi/8CCDJoStejs2q7+XO61kro2k4bl50EQTimiB4LANC1nLL6XN8lMgOxqCAVjMuKZCExCB99qcX9emoPAAYtZBHJUERnuObwAcTh0LGyshIXXHABACA8PBxtbcbNZLfccgv+97//ufZ0REREREREbpJfpMZF/zBV/ihk2H6ywelrzTbNddwbxKEjAESaNglfP20EDjy4wCXVaMHUYi1VOc4YGYP4iBCPP//5Y+IgCMDJhg6cbe2/SMP7Pj5irHKcPzYeKVH+P5Mwb4QpdDzTClEceJnM7bNHW3w8WBVxaNI0ROXeBQBo2HE/RL2xQrir5lsAQEjydMhCnB954C/MoaOtSkc7QkegTwXpb5qhiM2EoacFzT88Z3ktqbU6dY7VFmxyInRMTU1FY6Pxux6jR4/G7t3GF7iiomLQXyRERERERES+QlrMoG41zmDU9OjNixmcIYWOP1S1+PzmX3c6VGOcTSe1jbrCuARjlVegVzrmF6lxz4YjAIDKpk6n34vDEROuRE6q8efOF6sdA6m1GgCmpkVBLhNQp+lBzSAhr6ZHDwCIClUgTCEbsoo47vwnIQtLgLbhGFoP/RNA7xKZsJGB31oNAEpppmNbJUSD3uJz9oaOEkEegvgL1wAAWvf/Fdo+1ZPS5upgqB51hsOh4yWXXIJPP/0UAHDbbbfh/vvvx+LFi7Fy5UosW7bM5QckIiIiIiJyNWkxQ1/SYgZn5KRFI0whQ3OnFqX1muEf0E9Js+nyXBg6ZsRLG6wD93WVQvCmTmNVWr2mZ1gh+HBcMNY4KuBbH5rrmF+kxtQ/b8fX5cZq5HCFUztxfU64Um6eB3twkGUynx41hq3PL52EjjVXDVlFLA+LR9y8pwEATbtXQ68517tEJkhCR7lqBCBTAAYt9Joa8+269jPGjwUZQpKn2329iHFXIyz9Yoj6bjR9+wcAgCiK3Fw9BId/pb766qt47LHHAAB333033njjDUyaNAmrV6/GP//5T5cfkIiIiIiIyNWGWszgKKVchhmjjK2SwTrXsVOrN79+eaZZda4gtVdXBHB7df8QvO92Yk+bb1om890p17+P84vUyFu7AxGPfI68tTvsClWlQPb4ud5fm7/KL/JKIOsO00eaNlgPMNdR3dqFPZXNAIBrHJhjGTXlZwhJngGxpxX1W39l3tYcNmLe8A7sJwSZHIooY1t638pEqcoxJGEKZErrWZkDXk8QEH/R8wAEaErXo6vmO+jbqowBpkxhc1s4ORE6ymQyKBQK88c33ngjXnrpJdxzzz0ICfH8zAkiIiIiIiJH2buYwRGzTctk9poCgmBzRN0GgwgkqUKQ6sJ5e+PMlY6BGzq6OgQfDmmZzP4zLdB061x2XSk8LFK3oUtnQJG6za5qTimQ7b8Z3RuBrDtMM811PDRApaNU5ThndCzSosPsvq4gkyPh4r8CADrKNxpvlIei68zOYZzWv/TOdTxlvq23tXq2w9cLTZqGyKm3AQAavv4dutTfAwBCEnMhU0YM77AByqma5KamJrzwwgu44447cMcdd2Dt2rXmOY9EREREROQ5zlQOEbBqSbbFx4MtZrDXnCBfJiNt4M0bGe3ShQpSpeOppg7oA3ReptRC3tdwQ3BnjY4Lx6iYMOgNIvZWNbvsuv3DQ3urOX0pkHWHvCEqHT89eg6AY1WOkr5txcYbulG7cSU0ZRscvpY/UkSPATBQ6GjfPMf+4s//E4SQKPScK0Td5jtM1z8dNK+poxwOHXfu3ImMjAy89NJLaGpqQlNTE1566SVkZGRg587gScyJiIiIiLzN2cohApZNTUV0mLGDK0QuDLmYwR6z042VjofUrejS6oe4d+A5aF4i47rWagAYGRMOpVyAVi/iTEunS6/tK0bFhlt87IoQ3FmCIGCeqcXalXMdi2udCw/dUZXsS6QN1uUNHWgxzfSUtHXpsLXUuNH8uqmOh45Nu58GrKfXonn3M84c1e+Yl8mYNliLBj26a/cBAEJTZjl1TbkqBRHjlho/MPQY/9PVGFRhriMcDh3vvvtu3HDDDaioqEB+fj7y8/NRXl6OG2+8EXfffbc7zkhERERERDY4WzlEQHVLF1q7dJDLBDQ9fcWQixnsMTY+HEmqEGj1ojmACyaHaly/RAYA5DIBY+MCt8W6uLYd28qMwdL4hAi7thO7m9Ri/Z2LNliX1WsgWkWOxjhsqPDwtxeOs3yMFwNZd0hQhSA91tg2fajf7xubimvRozdgQqIKE50IWXVNJYB11AttU7GTp/UvvZWOxtBR21QMsacNgiICyoTJTl+3p66o3y0iginMdYTDoWNZWRkefPBByOVy821yuRwPPPAAysrKXHo4IiIiIiIa2EBthycCpO3QnfZVNwMApqREIVwpH/zOdhIEAXNMcx2DbZmMwSDisNoYmOS5uNIR6G2xLg/AZTKPfXkceoOIpZNSUPropXZtJ3Y3qdLxq5I6hA9zdMMPlc2Y97dv0aM3/m7Vf2HOUOFhZXMXACBcKfOJQNYdppsWLx3s12ItzXO8ZkqqUyMLFHFZsFXpqIzLtnX3gKOIzgAA6EyLZLrPFgIAQlNmQpApBnrYkHTNpTZuDZ4w1xEOh44zZszA8ePHrW4/fvw4pk2b5pJDERERERHR0LKSVFb/nAQArd6Al3dVQKc3ePxM/qKwyviPe2njtKucZ5rr+EOQLZMpb+xAe7ceYQqZzXbY4ZJmHp5s0Lj82q7k6IzV7081Ir/oLGQC8OxVkzx0yqGV1Ru/cWEQge5hjG748vg5XPzP71Cn6cGMkTF47YZpyE2LhlJu/J1LLgNmDLLpvEurxz++qwAAvHZDnk8Esu4gjSToWyGt1Rvw+fFaAM61VgNA3NzHIVXhGRlr42PnPu78Yf2IudKxvRqiQYfuc8Ob52i+bpCHuY5wONq99957cd9996GsrAxz584FAOzevRsvv/wy1qxZg8OHD5vvm5ub67qTEhERERGRhVVLsrFiXaH5Y6nV2iAC92w4ghd2nIRCJuBMSxeyklRYtSQbywPsH+vO2m+qdJw1Ktal19Wagt7/HTiDI2dbg+Y1P3jGGOJOTY2CQu7UvtJBdfQYZ2Q+t60Mnx8755OvqzRjVfp1KAV162+dZfOsoiji4c+NBT23npeOKalRnj3wIJ7ZYlnJ1Xd0w1Cve36RGqsLinHsXDt0psU/S7KS8OFPZyEqTIHbZ48GACz61/fYVlaPp7aU4rUbbBcwvbO/GrXtPUiPDcOKXN/6+Xal6aZlMtKvIwDYWd6A5k4tklQhmDsmzqnrqjKXIXnp+2je/Qy0TcVQxmUjdu7jUGVe54pj+zy5KhWCPBSivhu6tip0n90LwPl5jpK4uY+jduNK9P6pG1xhriMc/tPgxz/+MaqqqvDQQw/hoosuwkUXXYSHHnoIp0+fxo9//GNMnz4deXl5mD59ussPu3PnTlx99dUYMWIEBEHAxx9/7PLnICIiIiLyF1dNSka40vhX+hC5gNy0aHz405n4+7IcRITIcbqpEycbOrhkph9RFLGv2viP+5kurHTML1LjaVNY0zd0CobX3LxEZpCqNWflF6nx9r5qAMZA3VdfV0dnrH527By+rWhEmEKGPy3xrQqpkjrrilJ7lr5IwethdZs5cASA22enIyrMsuZp9eXGr3ldYRVKbVzXYBDxf1+XAwDunT8OSjeE2b5CGklw9FwbenTGb1x8YtpavXRKCuQy57fBqzKXYeTNhRh7TxtG3lwYNIEjAAiCDIpoY8itbTyBnnrjLMaQYVY6SmFuSGIOBHkoQhJzkLz0g6B6be3lcKVjRUWFO85hF41Gg2nTpuH222/H8uXLvXYOIiIiIiJfUFBch06tASOiw1D5+CLI+vzD9B/fVeDYud5/yDtSqRToqpo7UafpgUImINeFS08GC50C/TV31xIZwH9eV0dmrOr0BjxqqnK898JxVturvS0rSYUidZvF12PPxuj+P1fS457dWoYb8kZa3PeCsfG4cmIyvjhRiz8VlOCdn8yw+Pym4locr21HVKgCP58zenhfkI8bExeO2HAlmju1OHauDdNGROPTI8Z5jtdOca61mowUUWOhbSqF5uQngEEHWUQyFFHDfz+pMpdBlbnMBScMbA6HjmPGjHHHOexyxRVX4IorrvDa8xMRERER+ZL1h42VXj/KTbMIHAHbW37tqVQKBlKV45RU1y2RAQYOnYLhNZcqHd2xRMZfXldbQR1grNjbVdFoXs4CAG8VVuF4bTviI5R45JJMzx7UDjZHN9ixMdrRn6vVl2fjixO1+N/BM3jkkkxMTesNrV80VTn+fM5oxIQrnfo6/IUgCMgbEY0dJxtwsKYVIoDK5k5EKOVYnJXk7eP5NUXMWABAR9nHAICw1POcWspDzgnc+mQA3d3daG1ttfhBRERERBQIunV6fGLabHr9NOtqL1tLZgQMXakUDKTQ0dVLZGy+5nZUh/m7ek03zrQYNwznprm+0tFfXtdVS7ItK/xM/9UaRCz853dYs60UHx2qQe4LO/CLD427EK6enIJYHwzUluekYf2tsxBvOluCKsSujdG2lggN9nM1Y1QsfpSTBlEEntzcu/n34JkWbCurh1wm4L4LM4bxlfiPPNNoggNnWvCJqcpxSXaSS78xEoykZTKGrkYAQEjK8FqryTEBHTo+++yziImJMf9IT0/39pGIiIiIiFyioLgOrV06jIgOwwVj4q0+LwUgfQs6RAxdqRQM9rlpiYz5Ne9zmz3VYf7ukKnKcXxChNXcPlfwl9d1eU4aHlwwDoDxrLlp0Xjnpum4afpI6A0i/vDFCVz/n304crbN/Jh1hdU+N5tSsjwnDf82LXiJDlPYtUH5N/MsA0JBGPrn6k+XZUMQgA1Hzpp/bb749UkAwPW5aRgdF+HkV+BfpNEEh2pa8KnpG0rXsLV62BTRYy0+Hu7manJMQIeOjz76KFpaWsw/qqqqvH0kIiIiIiKXGKy1GuitVMpNjYbclDxenJkwZKVSoHPXEhmg9zXPSevdQvznpZMC/jU/eMZ9rdVA7+sqVdEJAP5703SffF1DFcaqtNtmj8aBBxfgphmj8J+bpuPf10+zqtYEBl804wsWZyUhRC5DeUMHTtQO3c4uVXqGK2UIU8iQmxo9ZIXk5NQo/GS6cd7jE1+eQHVzJ947WAMAeGDB+GF/Df5iuqnScU9lMw7WtEImAEsnJ3v5VP7PKnRMmemdgwSpgA4dQ0NDER0dbfGDiIiIiMjf9W2tvmHaiAHvtzwnDQceXIDPfz4bAFBWr4Eo9p+4FlyqmjtRLy2RcUMr8PKcNBx8cCEuyzbOYZNCqEAmLZGZNtJ9/95anpOGYw9djIz4CIgAIkNdX1HpCgfPGF+L6X1eC0EQcMec0VDKrWNHX5xN2VdkqAIXZyYAMG7bHspnpo3Lf7h0AjrWXIUDDy6wKxx+ckk2ZAKwqbgOY5/ZAp1BxOSUSMxKjx3W+f3JxORIhCpk6DZtr56fEY9EVaiXT+X/tI3Hej+QhaCr+mvvHSYIORU6Njc347XXXsOjjz6KxkZjX/z+/ftx5swZlx6OiIiIiIisSa3VI2PCcP6YuCHvPz8jHiFyGaqau1BSp/HACX1XoanKcWpqFMLcOCvtgrHGlvfvTjW67Tl8hTuXyPQlCAKumGis/PriRK1bn8tZ0mshVa31NTE50i9mU/a3dHIKAODzIULHjh4dtpTWAQCunuxYW/AhdSsMpu+HSP89dq7dZ1vP3UEpl2FkTJj549I6TVB9/e6gKduA+q9+0XuDoQe1G1dCU7bBe4cKMg6HjocPH0ZWVhaee+45vPDCC2hubgYA5Ofn49FHH3X1+Sy0t7fj4MGDOHjwIACgoqICBw8eRGVlpVufl4iIiIjIl3x4yNh6OFBrdX8RIQrMN23OlUKBYCXNjJvh4nmO/V0w1hgGf3eqya3P421dWr257VaaSedOV04yho5fHq/1uard2rZu1LR2QRBsL9TpP2fVnnmHvmDpJGPouOtUIxo0PQPeb0tpPbp0BoyJC7cYMWCP1QXFNgNZX249d7X8IjXKGzrMH59t68aKdYUMHoehaffTgI2Vas27n/HGcYKSw6HjAw88gJ/97GcoLS1FWFhvCn/llVdi586dLj1cf4WFhZg+fTqmT59uPsv06dOxatUqtz4vEREREZGv6NLq8amp4uj63IFbq/u7dEIiAGBrab1bzuUv9lUZKx1nuXieY39zRsdBJgCVzZ2obu5063N507FzbdAZRCREKC2qtNxl4fgEhClkqGzuxLFzvtWWfMDUZj4hUWWz/bvvnFV75x36gjHxEchJi4JBBDYVD1xhKrVfL52cAkEY+pshfZXUadA/Qvb11nNX6x+8SgF1MAWvrqZrKgGs31nQNhXbuju5gcOh4w8//IC77rrL6vaRI0fi7NmzLjnUQBYuXAhRFK1+vPXWW259XiIiIiIiX1FQ4lhrtWRxlnHG4Layeuj0Bncdz6cZl8g0AwBmurnSMTJUgWmmyr9ArnaU2omnjYhxOGhyRkSIAhdnGgP0L44PPWPQk+xZqCPNWXVk3qEvkFqsNw7QYm0wiObPObNxOStJ5Zet567E4NX1FHFZsFXpqIzL9sZxgpLDoWNoaChaW1utbi8pKUFSUpJLDkVERERERLatd7C1WjJ9ZAziwpVo7dKZ5xoGm8qmTjR0aKGUC8gd4Vj7pzPMcx1PB+5cx97Q0XNLO6W5jl/62FzHg6ZKxzw3LtTxFqnFetOJWmhtfNOisLoZ59q6ERWqwIJxCQ5f319bz12Jwavrxc19HKaaUdMtAgARsXMf996hgozDoeM111yD1atXQ6vVAjAO862srMTDDz+MH/3oRy4/IBERERERGTnbWg0AcpmAS0wVYl+VBOdcx0JTlePU1CiPbJU2h44VgRs6Hjrj+aBNmuv4bUUjWjq1HnveofRurnZv6743zB4dhyRVCFq6dPjWxvv5U9PW6suzkxCicHxfrb+2nrsSg1fXU2UuQ/LS9xGSmANBHoqQxBwkL/0AqszrvH20oOHw7wZr165Fe3s7kpOT0dnZiQULFiAzMxNRUVF45hkO4yQiIiIichdnW6sli7KkuY7BGTruM1V4unuJjGSeaZnMgZpWaLp1HnlOTxJFEYfUntlc3de4BBWyk1TQGUSfWYzU3q1DSb1xM7wnXwtPkcsEc9hrq8Vaum3plBSnn8NfW89dhcGre6gyl2HkzYUYe08bRt5cyMDRw6yn2w4hJiYGX331Fb799lscPnwY7e3tmDFjBhYtWuSO8xERERERkYmzrdWSRROM45C+P92E9m6dzWUXgWx/tWeWyEjSY8MxMiYMZ1q68ENVMxaaKk0DxanGTrR26RAil2Gih1tAr5iUguK6cnxxohY/crDq1x0Oq1shikBadChSokK9fRy3WDo5BesKq7Hx2DmsvWaK+fbTjR04rG6FTACunOh86EjG4HE5Q0YKIE7/LWP+/PmYP3++K89CREREREQ25Bep8cfNxThytg0AkBLpXKgxPlGFjPgIVDR2YGd5A66cFDwBgSiK5vZqdy+RkQiCgHlj4/HBoRp8d7op4EJHaYbh1NQoKOWOt9QOx5UTk/GXneX48ngtRFH0yBKbwdizRMbfLc5KglIuoLReg5K6dmQlGYNmaWv1vLHxSFCFePOIRORjnAodt27diq1bt6K2thYGg+UQ2TfeeMMlByMiIiIiImPguGJdocWCgce+PIHs5EinKmIunZCI1/ZUYktpfVCFjqebOtFoWiKTk+b+JTKS88fGGUPHAJzrKC2RyfXgEhnJhePioQqR42xbNw7WtHp9juKBAF4iI4kOU2Lh+AR8VVKPz46ew4MLjaGjubV6cvD8fkJE9nH421F/+tOfsGTJEmzduhX19fVoamqy+EFERERERK6zuqDYtG+zlyAATxWUOHW9xVnGFustQbZMprCqGQCQkxrtkSUykgvGGJfJfH+6CQaDOMS9/cshKWjzQugYqpBj0QRj5ejnx61nDHqatFBnegBXOgLAVaZvVEiveWuXFttP1gMArpmS6rVzEZFvcrjS8V//+hfeeust3HLLLe44DxERERER9VFSp0H/qEoUgeK6dqeud3FmAgQBOHK2DWdbu5AaHTb8Q/qBfWekJTKeDYXyRkYjXClDU6cWJ2rbMTnVc1WW7ubtluIrJqXgk6Pn8OXxWjy+yHsbfrV6A4pMow/yAnBzdV9LJ6fgt58cxTcVjWjq6MHW0npo9SImJKqQ7eG5nkTk+xyudOzp6cEFF1zgjrMQEREREVE/WUkq9J9WJwhw+h/4iapQczXWltL6YZ7Of+w3zXOclR7r0edVymWYnW7cYv3d6cBpsW7s6EFlcycAYJoXKh0B4IqJxm3KuyubUK/p9soZAOBEbTu6dQZEhSowLj7Ca+fwhHEJKkxOiYTeIGJzcZ15nuPVw9haTUSBy+HQ8ec//zneffddd5yFiIiIiIj6WbUk26q1WhSBVYudr+xaZGqx3loaHC3WoiiisMpY6TjTw5WOAHBBhil0PBU446gOm+Y5ZsRHICZc6ZUzpMeGIyctCqIIFBR7770sLdSZNiLaqa3y/mbpZGMb9SdHz+ILU5v11ZznSEQ2ONxe3dXVhVdffRVbtmxBbm4ulErLP2BefPFFlx2OiIiIiAJHfpEaqwuKUVKnQVaSCquWZDu1CCXYLM9Jw/yMeHxb0QiFTMCUlCisWpKFZcN47RZNSMTz28vwVUm9T2z+dbdTjZ1o6tQiRC7DVC+0N0tzHb87FRiVjvlFatyzoQgA0KDpQX6R2mu/lq+YmIIidRu+PFGLm2aM8soZDkht5gHeWi1ZOjkZz28vw4eHamAQgbhwJeaNjff2sYjIBzkcOh4+fBh5eXkAgCNHjlh8LtD/skJEREREzum7gVkEUKRuw4p1hVh/6ywGj0MQRREVjR0AgM2/mIuLMxOHfc35GfEIU8hQ09qFE7XtmJQSOHMGbdlnaq3OSYvy6BIZyfljjZWOJXUa1Gu6kagK9fgZbHHmGwHSr2VJa7fOq7+Wr5xoDMA2naiF3iBC7oVKw94lMoG7ubqv88fEIzJEjvYePQDj71GfHjvH38uJyIrDoeP27dvdcQ4iIiIiCmD9NzCL6N3AzH+oDu5UYyfOtHRBKRcwZ3SsS64ZppRjfkY8tpTWY0tpfcCHjoXV3lkiI4mPCMGk5Egcr23Hd6eafGLLr7PfCBhsm7o3fi2fPzYOEUoZGjq0UD36OSYmR7qsitqeUFYURRyoCa5Kx0+OnjUHjgDQ0uXd4JmIfJfDMx2JiIiIiBzl6g3MwWRneQMAYNaoWESEOFwzMCBpruOWksCf62heIjMq1mtnuCBDarH2jbmOg30jYDC+9mv5s2Pn0KE1AAB69KI5PM0vUg/rulIoW6RuQ5fOMOB1K5s60dyphVJuHH0QDKT3jsTe9w4RBR+7/tayfPlyvPXWW4iOjsby5csHvW9+fr5LDkZEREREgSMrSYUidZtVWDEmLtwr5/En31QY5wDOz3DtzLRFE4xt2jtONkCrN0Ap9916hOHMAxVFEfuqvbdERnLBmDi8vqfSZ+Y6OhseJkeGoLK5y+K24WxTHy53VVHbe90DpiUyk1OiEKLw3V9DruRrwTMR+S67fleMiYkxz2uMiYkZ9AcRERERUX/9NzBLWrt1aOnUevw8/uQbU6XjReMSXHrdvBExiAyRo61bh6g/fIG8tTuGXR3mDvZWnA3kX9+fQpPpPXbbewe99jVeYFq08UNVM3p0Bq+coa+sJJXN2zMTbd8OAN9WNKCmtdviNldsUx8OdwVgxXZeV1oiM31E8PxbOCtJhf6TM70ZPBOR77Kr0vHNN9+0+f9ERERERPZYnpOGWekxKKxqgUImIDtJhbNt3VC3duPW9w4g/9bzIPPCAghfd7a1C6X1GggCMM/FlY4f95nL1rct1dfmsg2nki2/SI2783uXXx45672vMStJhYQIJRo6tNh/pgVzx8R59Pn7e+jiTNz87gGr23v0BrR16RAVZvlPxeLadlz35g/QGUTMTo9Fl06PkjoNspMih71NfThsVVG7IgBThcjR3S8cFmB93UOmSse8kcGxRAYwfhNpxbpCc+Ds7eCZiHxXcNR/ExEREZFX6fQGFNdqAADf3TMfRb+/GF/eORehChk+PXoO/29bqZdP6Juk1urctGjEhitdem1/mcs2UCXb8dq2QR/X1qXDrz86bPk4eO9rFATBXO3oCy3W0WHG91OIXECYQoasJBVUIXKU1Glw7Zt70dGjM9+3rr0bV72+B40dWswZHYttvzofBx9ciI41V+HAgwu8FjgCtquohxuAHappQVOHsTq2/6+RP1wyweK+B0ybq/OCqNJxeU4a1t86C7mp0QhTyJCbGo2Pbp3l1fcBEfkmuyodp0+fbm6vHsr+/fuHdSAiIiIiCjw/VDWjrVuHuHAlpps2vM5Kj8XLy3Pw8w8O4cnNxZg5MgZXTErx8kl9i7vmOQL+M5dtoHmgPXoRd60/hPPHxOEvO8vN8x4fvXQCzrV145ktpajT9Fhdz5tf4wVj4/HZsXP4/lQTsMArRzDbXFwLALh99mj840e5AIAfKpux6JXvseNkA+b/fRd0BhGl9RrIBaBDa0BGfAQ+uW22SxcaDZcUgD208RjKGzqgkAl47+YZTgdgoijivo+PQAQwb2wc2rv1OFHbDq3BAIMI7K5swvV5IwAADZoeVJnmW04bETyVjoDxdfelimgi8k12/Wlx3XXXufkYRERERBTItpTWAwAuyUyEvE8b9e2zR+OHqma88v1pXP+ffUiPCcPppk6Hl4UEKnfNcwTc15bqalIrp6Rvq/W/d1fi37srzbcVqdvw43d6iyBC5AK0etFnvkad3tiu+1GRGnlrd3j1PV5QbNxaviQ7yXzbeaNj8fnPZ2PRv3bjYE2r1WN+e1EGkqNCPXZGey3PScNVk5IR/8QmdGoNyEx0/uf3g0M12FneiHClDO/ePBPpscZlVx8fUWP5W4X4v53lWDg+AVdPScVBU2v1uIQIxLi4EpmIKBDYFTo++eSTAAC9Xo9du3YhNzcXsbGx7jwXEREREQWQraXGgONS08bkvv5y7RRsL6tHSZ0GxXXGFmxfnS/oSc2dWhxWG4OfC91Q6dg/zAN8cy7b8pw0LByfgB0nGyCXCZiaEoVVS7KQEBGCy/+9G106g8W8RwBQyAT8bdlUxEcosfI/+31i9lx+kRpPbC42f+zN93hFQwdK6zVQyARckmn5a3J+RgJGxoShorHD4nYBwBt7qnDP/HEePKn9QhVyLByfiC9P1KKgpA65TlQearp1eGjjMQDAI5dMMAeOAHDd1DTcd2EG/vpNBX723kEceOCioFwiQ0TkCIdmOsrlcixZsgRNTU3uOg8RERERBZj2bh2+P238++OirCSrz4cq5JD3G+Xjq/MFPem7U40QRWBCogqp0WEuv77UljomzhishCpkPjuXTd1qbGH95LbzzDMELxqfYHMjOgDIZQLuOn8srp820mdmz/nSDM2CEmNr9flj4syzHfuSXu++RPhe631/i02/v3xl+voc9dz2MlQ1d2FsXDh+t3C89eevmozz0mPR1KnFj9/Zj8KqZgDBtUSGiMgRDg/jmDp1KsrLy5GRkeGO8xARERFRgPmmvAFavYgxceEYnxBh8z79q6oA35wv6Ek7y03zHMe5vspRIlURJj25Gd06A2aPjnXbczmrsaPHXAE7Z7TlxufsAVrEJ/Zpn/aV2XO+NENTaq1enG39TQDAf1rv+7vM9PXsLG9ER4/OodmTFQ0d+POOkwCAF66ZgnCl3Oo+IQoZ3rt5Jmb839f4/nST+Zspr++pxKSUKJ94nxER+RKHt1c//fTT+N3vfoeNGzdCrVajtbXV4gcRERERUV/SPMdLJyQNuJwwK0mF/p/xh5DDnb6tMM1zzHD9PMe+4iNCMGtULABgq+nnypfsMQU7WUkqJKhCLD4nbS6W3lbebJ8eijvf4/mmGZERj3yOvLU7kF+kHvC+Wr0BW8uMP8+XZSXbvI8/va59TUyOxKiYMHTrDOYlTPb6/caj6NYZcOmERCybmjrg/TISInDn3DEWt51u6sSKdYWDvu5ERMHI4dDxyiuvxKFDh3DNNddg1KhRiIuLQ1xcHGJjYxEXFzf0BYiIiIgoqEhB1iIb8xwl5pCjz23+EHK4S6dWjx9MrZsXurHSUSLN2vTF0FGqJps72vrfGlKLuC+0Tw+lf5AHuOY9nl+kxop1hShSt6FLZzDPihwoANtb2YzWLh0SIpSYMcr2LEJ/el37EgTBXL0pVXMORgprQx/eiPyis5AJwF+unTrgN0ckBcWW7dscB0FEZJvD7dXbt293xzmIiIiIKACda+s2L0Ppv7CiLynkWLXpBI6dM7abvnTdVJ8POdxlz+kmaPUiRkSHISPedku6Ky3OSsKabWXYUloHURSHDF08abcUOo6xXeDgK+3TQ5He408VlODI2TboRRELxyfY/R7PL1JjdUExSuo0yEpS4YEF46GUy3D3R4cBwGKZjhSA2XpdNpsCs0VZSRab5G2d1x9e1/6WZCXhzb1V+Kpk8NBRCmv7bkM3mNrdp6RGDfrYElO7f1/BPg6CiMgWh0PHBQsWuOMcRERERBSAtpnaOKeNiEZyVOig95VCjmte34uNx8+husV6mUWwkOY5XjQu3iMB4AVj4xCulEHd2o1j54YOXTxFbxCxp7IZwMChoz+R3uM7TzZg4T+/w6GaVmj1Bijlgzeg9Q/IDqvb8LP3Dg54/8ECMKkCcImNpU6BYNGEJAgCcORsG860dGJkTLjN+0mLffrPrRworO3LX2deEhF5ml3t1YcPH4bBYDD//2A/iIiIiIgkW0qNAcelg7RW93fb7HQAwNuFVdDpDW45l6+T5jnOd/M8R0moQo6Lxhmfa6gKMU86fq4Nbd06qELkmOojQagrzMuIR5IqBE2dWnx9smHI+9sKyAAgTCFDkirEelYkbAdgjR09+KG6GQCwZIAlMv4uQdU7o/SrkoHHBQxnsY+/zrwkIvI0u0LHvLw81NfXm/9/+vTpyMvLs/oxffp0tx6WiIiIiPyHKIrYYgqwFk2wP+C4alIKklQhONvWjS9P1A79gACj1Rvw3SljS/FFHpjnKLnU9HO0tdR3QsfdlcbXYXZ6LBRDVAP6E7lMwLWmZSX2LB+xFZBJ/rki13pWJIBHLsm0uu+WknqIIjAlJWrACsBAsNhUxTlYgJ6VpLK6zd5qRX+deUlE5Gl2/cldUVGBpKQk8/+Xl5ejoqLC6kd5eblbD0tERERE/qOsXoOq5i4o5QIuzLA/PAtRyHDLrFEAgDd/qHLX8XzWgTMt6NDqEReuxOQUz1X3SYt+dpxsQI/ONypMpSUycwKgtbo/qYX34yNnYTAMFCkajbUx11MKyPoGYKEKGRSmOY3Hz1lX7G0uMYb4gVrlKLksuzd0HOi1ffTSCRYfO1qtuDwnDQceXICONVfhwIMLGDgSEdlgV+g4ZswY8yyZMWPGDPqDiIiIiAgAtpg2IV8wJh6qUMdGid923mgAwMZj53CurdvlZ/Nl0jzHC8fFQzbIog9Xy02LRpIqBJoePfaYKgy9bY8pdDw/AEPHSzITER2mwNm2bnNF50D6V+X1D8ikAKxzzVX4709mAADWbCtDaZ9WYVEU8ZVpnuNlAR46zh0Th8hQOeo1PThQ02LzPq1dOgCAQiYglNWKRERu4XSPwrFjx7Bp0yZ8+umnFj+IiIiIiIDeNt1Ls+yf5yiZkhqFOaNjoTOI+M++alcfzad5ep6jRCYTzLM3pcDYm5o7teZN5nNGB17oGKKQ4erJKQAGb7Hu1OrxbYUxiB4bHz5kO++K3DQsyUpCj96AezYcgSgaK/2On2tHdUsXwhQyXDjOs+8tT1PKZbgk0/helhbn9KXTG/Dc9jIAwPNLJ6OT1YpERG7hcOhYXl6OadOmYerUqbjqqqtw3XXX4brrrsOyZcuwbNkyd5yRiIiIiPyM3iBiW5kxPHNknmNft882Vju+sbfSHJwEOoNBxDd9Nld72iLTLLwtPrBMZq+p+m98QsSQm8/9lRRybSg6O+B7/L0DZ9DYocWYuHCUPnLpkO28giDg78tzEKqQoaCkDh8eMgaaUmv1ReMSEK6Uu+Gr8S2DzXV872ANyhs6kKQKwZ1zRnv6aEREQcPh0PG+++5DRkYGamtrERERgaNHj2Lnzp2YNWsWduzY4YYjEhEREZG/2V/dguZOLaLDFJg1Ksapa6zMG4FwpQwnatux+7RvtPu627FzbWjq1CJCKcf0kc69bsMhzXXcW9WMlk6tx5+/L2me49wAbK2WXJaVhHClDBWNHThU02r1eVEU8fKuUwCAX10wFnI72+0zE1V4+GLjIpn7Pz2C1i6tubU60Oc5Si7LTgYA7DrViPZunfl2g0HEs1tLAQC/vWicw6MfiIjIfg6Hjt9//z1Wr16NxMREyGQyyGQyzJ8/H88++yzuvfded5yRiIiIiPzMFlNr9cXjE5zeOhwdpsT1uSMAAG8EyUIZaZ7jBWPjoPTCtubRcRHISlJBbxCx42SDx5+/rz1BEDqqQhW43BSO2Wqx3lPZjP1nWhCqkOH22ekOXfuRSzIxPiEC6tZuPPz5cXxdbvz5XJIVHKHj+IQIZMRHQKu3fC9vOKLG8dp2xIYrcfe8sd47IBFREHD4bzJ6vR5RUcYteomJiaipqQFgXDBTXFzs2tMRERERkV/aapoJeKmTrdUSqcX6/YNnLKqVfFl+kRp5a3cg4pHPkbd2x6Dz+vo/7rEvjwMAitStdj/O1aSfMyk49gaDQcTuymYAgR06ApYt1v29vKsCAPDjvJFIVDnWYh6mlOPvy3MAAK98fxqdWgMUMgHFddZbrQORIAjmFusCU4u1KIr4f6Yqx9/MG4voMKXXzkdEFAwcDh2nTp2KQ4cOAQDmzJmD559/Hrt27cLq1asxbtw4lx+QiIiIiPxHfpEauS/swLYyY+goYnizGC8cF4/MRBXau/VYf9g7IZwj8ovUWLGuEEXqNnTpDChSt2HFusIhA0TpcS2mjbq17T12Pc4dpBZrd8x1tDeQLalvR3OnFuFKGXLTol1+Dl+ydHIKFDIBR8+1obi2NxA819Ztnsf4aycr8jQ9eouPdQYR17+9z2uBtqdJW7q/KjbOs/zyRC0OnGmFKkSO+y7kv12JiNzN4dDx8ccfh8FgAACsXr0aFRUVuPDCC/HFF1/gpZdecvkBiYiIiMg/SMHZ0bNt5tvu+/josAIOQRBw23nGttI39lYO+4zutrqgGAJgjlpFAAKApwpKAFiHbh8drkFhVTN+8eEhi+uIAASh93GedHFmImQCUFynQVVzp8uu60gg+/0pY2v1rFGxXmkz96TYcKV5a/iGI72vxWt7TqNHb8Cc0bGYlR7r1LWl92Nf3npfecPFmYmQywQU12lwurEDz2wxVjn+8vyxSFCFePl0RESBz+E/wS+77DIsX74cAJCZmYkTJ06gvr4etbW1uOSSS1x+QCIiIiLyD/0DN8A1AcdPZ42CAODbikaEPexYy7KnldRprGo7RQCH1a348Tv7LEK3w+o2XP/2Psz+6zdo7LBe2iKK8EorbGy4EueZQi6pTd4VbAayA7w/dlcG/jzHvvq3WOv0Brzy/WkAzlc5AgO8H730vvKG2HAl5oyOBQA89uUJfH+6CaEKGR5YwCpHIiJPcMm3DePj4yEI9m1SIyIiIqLA5K6AY09ls/m6PXr7W5a9YUKSyubtIoD3D9aY/78vAUBsmMJmRVp2cqSrj2iXRaZZeK5ssT5Ra//7Y3cQLJHp69opqRAE4IeqZlQ2deCzY+dQ3dKFJFWIeZmSM7KSVD71vvKGUTFhAIB3D5wBACwcn4C06DBvHomIKGgEdq8CEREREXmMuwKO/i2i3mw9HsqNeSMtPpa+L/+rC8ZCNsD36EMUMry2Ms/8dUmPE0Vg1eIs9x12EOa5jqV1EMXhzeXUG0S8+PVJaPUGm58fGx9u8XFblw5HTC36wRI6pkSFYv7YeADAx0fO4uVdpwAAd8wZjTCl3OnrrlqS7VPvK0/LL1Ljg0OW35zYXFznk9+wICIKRAwdiYiIiMglpIBD4qqAw59aRJs6jW3SsWEKhClkyE2Nxke3zsLLy3MwNTXKZig7MTkSy3PSsP7WWchNjbZ4nNR262nnj4lHiFyG2vYehDuxhVuaWznpuW3I+fN2/O6zY+afw/6vQV17D043dpg/3lvVBFEExsSFB1VFmvRz/bdvK7CtrB4yAfjl+WOGdU1fe195WrDPtCQi8jaFtw9ARERERIFheU4a8kZE42BNKxQyAVNSorBqSdawA46sJBWK1G1WgaavtYiKooiPjxhn8r1y/TRcP82yLXbVkmysWFdoDmP7h7LLc9Kw3EfCoI3Hz6HHVJnYoxfNLe3rb5016BmlZTHS7MbiOg0AIEwhw1+vm4r4CCWe/qoUxXXtGJcQgeZOLWpau3HpK9/j619fgJEx4ebW6vODpMpRsmxqKh749ChONhgD2MgQBQqrWzA6LmJY1/Wl95Wn+dM3LIiIApFdlY4zZsxAU5PxD//Vq1ejo6NjiEcQERER+bf+W4bZjje09m4djp0z/mP+4AMLcODBBS6pqDK3iPa5zRdbRI+da0dZvQahChkuz062+rw/VZ2tLii2+NjelnZby4QAICM+AnfOHYMf5Y7AgQcXoGPNVTjy+4ux574LMS4hAuUNHVj8ym7UtnWbQ8c5QRY67jvTYvFxW7fOZ2eX+gvOtCQi8i67Qsfjx49DozF+l/JPf/oT2tv5nSEiIiIKXFK1lrRl2JcXl/iSLaV16NEbkBEfgUkprvtHvRTW5aRFmW97fNEEnwvrNhwxvj8WTUhEVJjthqLlOWnm0M1Voaw7lJgqFPuyp0LMVmUZAFQ02i5aGBkTji13nY9RMWE4UduOOX/9BptO1AIAXv62Iqh+zTkb9NLAgn2mJRGRt9nVXp2Xl4fbbrsN8+fPhyiKeOGFFxAZafsvkqtWrXLpAYmIiIg8rX+1Vt9//Adrm6I9Nh4zhkVLJ6dAEAbYmuIkqUX0N/lF+Md3p1DV3OnS67vCJ6bW6uum+v97xNmW9qwkFQ6r2yxuG+pxY+MjsPWX52POX7/B6T4/rycbOuxq6Q4Uzga9NDDpGxZPFZSguK4d2UmRLhn5QERE9rErdHzrrbfw5JNPYuPGjRAEAV9++SUUCuuHCoLA0JGIiIj8HueAOc5gEPH58XMAjKGju6zMG4F/fHcKG46cxT+1+mFt9nWlyqYO7KtugUwArnbj1+8p5vmT6BO+21Eh9tiiCVj5n/3mj+2tLJuQFInkqFA0d+nMtwVb2O8vs0v9TTDPtCQi8ja7Qsfs7Gy89957AACZTIatW7ciOdl6Tg0RERFRILBVrQUA0WEKdOv0CFX4RtDlS/ZVt+BcWzeiQhVYMC7Bbc8zb2w8RsaE4UxLFzYX1+Haqaluey5HSAtk5o2NR3JUqJdPM3xShdgfNxfjyFnjr4Vnr5w4ZIVYVKgSACAXAIVchokOVJZVNllXrwZT2D/UoiEiIiJ/Y9dMx74MBgMDRyIiIgpo987PsHl7bXsPZv3fN/jz9jIumenns2PG0O2y7CSEKBz+K6bdZDIBN5i2Qr9/8IzbnsdRUmu1r4SgrrA8Jw2Hf7cQt84aBQDmrcqDWVdYBQD49bwMdDo4tzLYl37406IhIiIiezj1N8KTJ0/innvuwaJFi7Bo0SLce++9OHnypKvPRkREROQVHVoDACBcKUOYQoZpadF4aOF4JEeG4Oi5Njz8+XEc5pIZC1Jr9VWT3N9avDLPGDp+evQcNN26Ie7tfg2aHuysaAQAXBdAoaPktvNGAwDeP1gz6Ovd3Kk1V3xKQaUjuPTDfxYNERER2cPh0HHz5s2YPHky9u7di9zcXOTm5mLPnj2YMmUKvvrqK3eckYiIiMijpAq6p6+YaP7H/5qlk3Hk9wsR028rMTfMAtXNnThwphWCAFw5yf0dMeelxyIjPgIdWj02msJOb9p47Bz0BhG5adEYl6Dy9nFc7sJx8chMVKGtW4f1hwcO1z84VINunQFTU6MwfWSMw8/DSj8iIqLAYtdMx74eeeQR3H///VizZo3V7Q8//DAWL17sssMREREReVpVcyd2nWqCIMDcxitJVIWiW2ewekwwzZ2zRapynDs6DkmR7p9nKAgCVuaNwJptZfjgYA1W5o10+3MO5uMjxiAuEKscAePrfdt56XjsyxN484dK3Hpeus37vW1qrf7prHSnt5dz6QcREVHgcLjS8fjx47jjjjusbr/99ttx7NgxlxyKiIiIyFs+OFgDAJg/Nh4jY8KtPh/sc+ds2XjM/Vur+5NarL84UYuWTq3Hnre/jh4dCkrqAARu6AgAP501CjIB2FneiFIbAXtJXTu+O9UEmQD8ZIZ3Q2AiIiLyDQ6HjklJSTh48KDV7QcPHuSCGSIiIvJ7Umv1QNVz5rlzfW4LtrlzfXX06LC1tB6AZ0PH3LRoTEyORLfOgE+OnnXLc+QXqYdcGLS5uA6dWgPGxoVj2ohot5zDF4yMCcfl2ca/67/5Q5XV598urAYAXJadjLToMI+ejYiIiHyTw6HjnXfeiV/84hd47rnn8M033+Cbb77BmjVrcNddd+HOO+90xxktvPzyyxg7dizCwsIwZ84c7N271+3PSURERMHhZL0GhdUtkAnAilzbLZ7muXNp0ZCZksdlOalBO3dua2k9unQGjIkLx9TUKI89r9RiDfRWp7pSfpEaK9YVomiIhUF9t1Y721LsL26fY1wos66wCjp975gBg0HEO/uMoeOts2y3XhMREVHwcTh0fOKJJ7Bq1Sr87W9/w4IFC7BgwQL8/e9/xx//+Ec8/vjj7jij2fvvv48HHngATz75JPbv349p06bhsssuQ21trVufl4iIiILD+4eM4dUlmYlIjhp4NqG0Yfb9W2YCAL4/1QSt3nrWYzDY2GdrtadDNyl0LCipQ4Omx2XXFUURD31mHBskSrfBemGQVm/AZ6bW8mVTAz90XjopBYmqEKhbu7G5uM58+46TDahs7kRsuBLXTPFctSsRERH5NodDR0EQcP/996O6uhotLS1oaWlBdXU17rvvPrf/RfPFF1/EnXfeidtuuw2TJ0/Gv/71L0REROCNN95w6/MSERFRcBiqtbq/qyenIjkyBGfbus1zDYOJKIr4/Jjxm79XeyFsmpgchWkjoqEziDZbn4fSv336g4Nn8M6+asz6y06UN3ZY3V8UgeO1vfMMd5Y3oKlTi0RVCOZlxA/ra/EHIQoZbp45CgDw5g+V5tvXmRbI3DBtBMKUcq+cjYiIiHyPw6FjX1FRUYiK8kwbTU9PD/bt24dFixaZb5PJZFi0aBG+//57m4/p7u5Ga2urxQ8iIiIiW46dbUORug1KuYBlOfYtBAlRyMztpK/tqRzi3oHnwJkW1LR2QRUix4JxCV45g7nF+pBjLdb926cPq9tw4zv78dP/HcCBM61Wy4IkPXoDbn//IF757hRu/M8+AIDeILptrqSvud20ufrTo+dQ29aNti4dPjpsDHxvnTXKm0cjIiIiHzOs0NGT6uvrodfrkZJi+V30lJQUnD1r+y95zz77LGJiYsw/0tM5Y4aIiIhsk1qrL8tKRnxEiN2P+7lpzt2m4lpUNllXxwUyqbV4SVaS1yrcVk4zVqVuLa1H+MMDL3zpb3VBMQT0tk9LFDIBz1wxEW+szANgbKkGLBcHvfVDFX6VX4SGDuPW7OZOrc15j4Foalo0ZqfHQmcQ8c7+anxUpEaHVo8JiSrMHRPn7eMRERGRD/Gb0NEZjz76qLkFvKWlBVVV1pv2iIiIApk923fJ2CYstVbfYKqcs9eEpEhcPD4Bogi8sTe4/q7xuSl0vMqDW6v7O1DTYv7/bv3AC1/6K6nTWAWOACCXCXj00gm49bx048Kg1GiEKWTITYvGR7fOwnf3zIcqxDJgtTXvMZDdNtv4jfw39lZinWmT9a3npQf8Ih0iIiJyjMLbB7BXYmIi5HI5zp2znJd07tw5pKbaboEKDQ1FaOjAQ+CJiIgCmdQ+KlVzSWHM+ltnYXmQbloeyKGaVpTUaRCmkDm1COPnc8dg+8kGvLG3Ek8szoJcFvjhS01LFwqrWyAIxiUy3rK6oNji474B4GDv86wkFYrUbRbBoyAAE5MjzR8vz0mzeQ29wTquFEWguK7d6vZAdGPeSNz38REcO9cOwPg1J6rsrw4mIiKi4OBQpaNWq8Wll16K0tJSd51nQCEhIZg5cya2bt1qvs1gMGDr1q04//zzPX4eIiIiX9e/fTTYqrEc8d5BY2v1VZNSEB2mdPjxy6amIj5CieqWLmw6Uevq43nFYFWy+UVqzH3pGwBAmEKGXacavXVMlNRprG6zJwBctSTbKnAURWDV4qwhnzMrSWU181EQgOw+gWUg21pWjx69ZfD6y/WHWUlNREREFhwKHZVKJQ4fPuyuswzpgQcewL///W+sW7cOx48fx69+9StoNBrcdtttXjsTERGRryq20T4aTNVY9hpOa7UkTCnHLaatvq/tOe2ys7nbQMFi/yUrUpXss1tL8YfPj2HFukJUt3QBADq1Bq/OM3Q2AFw21bh5HACUMgG5qcb26WV2VAFLgaV53qMDgWUgkL6h0Re/oUFERET9OTzT8eabb8brr7/ujrMMaeXKlXjhhRewatUq5OXl4eDBg9i0aZPVchkiIqJgZjCIeG3Paej0BqvPBVM1lr32VDbjdFMnVCFyXDUp2enr3DlnDABg4/Fa1JgCOV82ULB4+3sH8YsPDwGwrJIFgMe+PIE1209aXcubgZM5AOxzmz0B4GF1K2rbexCmkKHxqctx4MEFdgWOgLHt2mLeowOBZSCwNQ+T39AgIiKi/hye6ajT6fDGG29gy5YtmDlzJlQqlcXnX3zxRZcdzpbf/OY3+M1vfuPW5yAiIvIn+UVqrC4oRkmdBqNiwiACONnQu0XZosU6iKqx7JFfpMYvTQGbUiZgU3Gd0/MuJ6dGYd7YOOw61YQ3f6jEY4t8+3W21X4PAG8VDrwMRwr2fClwkgLAP24uxpGzbQCA566aNGQAuKHoLADgsuwkqEIdH3M+0LzHYDDQPEx+Q4OIiIj6crjS8ciRI5gxYwaioqJQUlKCAwcOmH8cPHjQDUckIiKigfSvVitr6MDJhg6EKWRYe81kvH/LDOSmRUNhWmwyJSUyaKqxhiK9dvUdWgBAS5du2G3CPzdVO76xtwoGG8tGfMlA25tlApAcGWKzfTZ3RDRy0qJ8bp7h8pw0HP7dQtxoao+vsqPS9OMjxtDxuqn89eCoYG8vJyIiIvs4/G3d7du3u+McRERE5IT+1WqScQkRuP+i8QCA66eNRHVzJ8Y8swVHz7WjrF6DzESV1bWCzWCLdpytYLt+Whruzj+MisYOhD/6OSYlR2LVkmyfrIjLSlLhsLrN4jZBAHLSovHE4izj5nNTmNQ3VBKBAT/nbbfMHIX3Dtbg/QNnsPbqyVDKbX9//WS9BofVrZDLBFztxLbyYCdVlz5VUILiunZkJ0Vi1ZIsfkODiIiILDhc6SgpKyvD5s2b0dnZCcA4hJ2IiIg8a6BqtfI+7dUAMCo2HJdlJQEA3vyh0gMn833umEu3qbgOHVrjLE2tXjTPSfTFrb63zx5t8XHf8HCwmYW+PM9wcVYSUqJCUafpwebiugHvt8FU5bhwfALiI0I8dbyAsjwnDQceXICONVc5NA+TiIiIgofDlY4NDQ244YYbsH37dgiCgNLSUowbNw533HEH4uLisHbtWneck4iIiGwYGx+BE7WWIdlAra63zx6NTcV1WPdDNVZfNhFyWf8m2eAyOi4cJXUai9uG2ybsjupJd6lt7wEARIcq0KM3WFWrDTaz0FfnGSrkMtyYNwJ//aYC7+yrxtLJtqsYPz5iDIGvm5rqyeMRERERBRWHKx3vv/9+KJVKVFZWIiIiwnz7ypUrsWnTJpcejoiIiAYmiiIilJZ/lA/W6nr1lBQkRChR09qFzcW1njqmz0qPDbf42BVtwv6y1VcURby7vxoA8Mr1uQFVrXbLzFEAgE+OnkVLp9bq8+rWLnx3qgkAQ0ciIiIid3I4dCwoKMBzzz2HUaNGWdw+YcIEnD592mUHIyIiosHlF6mx/0wr5DIgO0k1ZKtrqEKOm02BzJt7B95QHAzq2rvxbUUjAGB8QoTL2oSzklQ+t2TFlu9ONeFUUyeiQhW4eoBqQH81fWQMJqdEoltnwPrD1m3tn5haq+eMjsXImHCrzxMRERGRazjcXq3RaCwqHCWNjY0IDQ11yaGIiIhocK1dWtz38VEAwKOXTMDqyyfa9bjbZ4/GX7+pwKfHzqKuvRtJkcH5Z/c/vjuFbp0Bs0bFYM99F0IQXNNqvmpJtsWSFcB3lqz09Y6pynF5TioiQhz+66BPEwQBN88chT98cQLv7KvGHXMsZ1dyazURERGRZzhc6XjhhRfi7bffNn8sCAIMBgOef/55XHzxxS49HBEREdn2xKZi1LR2YXxCBP5w6QS7H5eTFo1Zo2Kg1Yvm4CnYdGr1+MeuUwCABxaMd1ngCMBiyYo0MzMrSeVTbcs9OgM+PFQDAPjJjFFD3Ns//WTGKAgC8HV5A0439i5Vau7UYltZPQBgWQ5bq4mIiIjcyeHQ8fnnn8err76KK664Aj09PXjooYcwdepU7Ny5E88995w7zkhERER97Ktuxsu7KgAA//hRLsKUcoceL20tfmNPFUTR1u7rwPbOvmrUaXowOjYcK3JdHwZKW32rHl8EpVxASZ0GeyubXP48ztpUXIvGDi3SokNxcWait4/jFumx4Vg4LgEA8N8DZ8y3bzx2DjqDiCkpUchK8q2WdyIiIqJA43DoOHXqVJSUlGD+/Pm49tprodFosHz5chw4cADjx493xxmJiIjIRG8Q8av1h2EQgR9PH4nFWUkOX+PG6SMRppDh6Lk2/FDV7PpD+jCDQcRfdpYDAO69MAMKucN/FbJbanQYbswbCQB46ZsKtz2Po97dbwzhbswbGdAbzKX5pe/sqzaH6+at1axyJCIiInI7p4b4xMTE4LHHHnP1WYiIiGgA+UVqrC4oxrFz7dAZjFur11492alrxYYrsSI3De/sP4M39lZh9ug4F5/Wd20qrsXx2nZEhSrw836z/tzh3gsz8J991fjgUA2eXzoZI2LC3P6cg2nt0uLTo8aZhj+ZMdKrZ3G3H+Wm4e78Ipyobce+6hZMTonEphN1AIBl3FpNRERE5HZOfXu/qakJL7zwAu644w7ccccdWLt2LRobG119NiIiCjL5RWrkrd2BiEc+R97aHcgvst48G4zyi9RYsa4QReo26AzGiq0OrQHfnXa+Zfc2U4v1ewfPoKNH55Jz+oMXvzZWOf58zmhEhynd/nwzR8Vi3tg46Awi/vn9Kbc9j72/dvKLzqJLZ8Ck5EhMHxnjtvP4gugwJa4zhYv/2VeNgpI6dGj1GBMXHvBfOxEREZEvcDh03LlzJ8aOHYuXXnoJTU1NaGpqwksvvYSMjAzs3LnTHWckIqIg0DdY69IZUKRuw4p1hQweAawuKIYAoO/0RUEAnioocfqaC8YlICM+Aq1dOnwUJK/xwTMt2FZWD7lMwH0XZnjsee+9cBwA4NXvT6NLq3f59R35tfNf0/Kgm2aMdOkCHV8ltVi/d+AM1h8ytVZPTQ2Kr52IiIjI2xwOHe+++26sXLkSFRUVyM/PR35+PsrLy3HjjTfi7rvvdscZiYgoCKwuKAbQG6yJGH6wFiiK6zTov+5FFIHiunanrymTCbhtdjoA4NcfFQVFdemLX58EAFyfm4bRcREee95lU1ORHhuGOk0P/tdnqYmr9A+lB/q1U9PSZd7cfNP0wNxa3d+SrCREhylQp+nBu6bXPiEixMunIiIiIgoODoeOZWVlePDBByGX927KlMvleOCBB1BWVubSwxERUXDQ6Q04erbN6vbhBmveMlirq6Mt5KIoIjLEeju1IADZycPbvpscGQoA0PTofb66dLit92daOvHewRoAwAMLPLv4TiGX4dcXGCsrX/q2wuUbw4+da7cZSh+vtfw19b8DZyCKwLyxcchI8Fzo6k2fHjuH1i7L8QGrNhf75HuciIiIKNA4HDrOmDEDx48ft7r9+PHjmDZtmksORUREwaOjR4cVbxdCbyOHcUWw5mmDtbo62kIuiiJ+v/EYGjq0AACpIVQQjKHSqsVZwzrrP3ZZblT21erS4bTeS2Hl2Ge2QmcQMSk5ErPSY91/6H7unDsa4UoZDtW0Ymd5g8uu+387T5rnfPbXoxfx6BfH0a0ztnS/e0BqrQ6OKkegtwq0L198jxMREREFIru2Vx8+fNj8//feey/uu+8+lJWVYe7cuQCA3bt34+WXX8aaNWvcc0oiIgpIDZoeXPPGXnx/uglKmQCtQbRsE3VBsOZptlpdAeAn/90PuWmOnK022OU5aVbX+mNBiXnxya/OH4PvTjWhuK4d2UmRWLUkC8tsPMYRJXUaq9t8sbp0sPZhW6+bRAor+z72eG078ovUgz7OHeIjQnDLzHS8uvs0XvqmAgvGJw77ms9uLcVjX54wfyyF0dJ/AeC5bWV4d181IABVzV0AgAildeVsoCpxw2gCIiIiIrKPXaFjXl4eBEGwaAd66KGHrO530003YeXKla47HRERBZz8IjVWFxTjRK0GgIgevYi4cCU+vX02zrV346mCEhSdbYVBBJZOThl2sOZptkIOAOjWGWzeXxSBEzYCkDXbSvHUV8ZqrL9eNxX3zHf94pOsJBWK1G1WC2p8rbp0oODI1uvW12ALeDwdOgLAvfMz8Oru0/jk6FmcauzA2HjnWpxFUcQfC0rM748/LsnGlNRIPP1VqUUoDQC3vX8QVS1dFo+/7f2DiApTeOU18DR/eY8TERERBSK7QseKioqh70RERDQEW5VnAPDkkizMy4gHACzPScMXx89h6et7sauiEZ1aPcL9qDIrM1GFI/3mUwoAMhIioNOLqGrutArQtHoDfv/ZMWQlqfDyrgocO9dubpl99spJbgkcAWDVkmyrnw9frC61FRwBgFwQsL+6GTNGxVo9pratG0fP2p516K0qt8mpUchNi8JhdRsmPLsNU1IjsWpJtt3hnxTYHz3XDr3p/bHmqkl46OJMAMCPckdYPeaJTSdwrMvy6/Vm8Opp5vd4vypQX3uPExEREQUiu0LHMWPGuPscREQUBGxWngF4c28V7r1wnPm2y7KTMTYuHKeaOvHBwRrcel66p4/qtGunpFqEjlLI8eelkyEClgEIjK+FQQTWmjYr9zchSeW2sy7PScP6W2dhdUGxOdS7eeZIn6sulYIjifS6dWj1OO+v32DxhCRUt3SivKED4xNVmJISiS9O1EJvY2GLN6vc8ovUOKw2vjf0omieTbn+1llDBoBSYN9fZuLg74/yhg6r24KpvVh6jz9VUOLS0QRERERENDS7Qsf+ampq8O2336K2thYGg2W72L333uuSgxERUeA5bmvLLqwDELlMwJ1zx+CxL0/gld2n/Sp0bOjoAQDERyjR0aO3Cjn6ByBPLJ6AMKUcK/+zD5oevcW1PFGRtjwnDctz0vB2YRV+9t5BbDpRh/ZuHSJDnforglssz0nDnNGx2FPZDIVMwJSUKNw9fyy2lzXgfwfOoKCkznzfo2fbzJvQxyVEoLyhw2eq3JydTWnrsbDzsWwv7n2PExEREZFnOfwvirfeegt33XUXQkJCkJCQAEHo3QkoCAJDRyIisum1PaehtbFld6AA5PbZo/HHgmLsPt2Eg2dakDcyxhPHHBZRFLHx2DkAwNs/no4rJ6VY3WegAERv47XxZEXaTdNH4uktpSir1+DlXafw8CWZHnlee+gNonnpzc6752HumDgAwM/njMGe000ob7Su5hsTF46Shy/Bx0fP+kyV23CWmhQ7+Vi2FxMRERGRt8gcfcATTzyBVatWoaWlBadOnUJFRYX5R3l5uTvOSEREfkwURTy3rQy/+PCw+Tbp+1WDBSApUaHmcO5f35/2yFmH62BNK6pbuhChlOOSTMe2E2clqSD0u82TFWkKuQyPL5oAAHhhRxnau3UeeV57HKppQVOnFlGhCswaZRk+17R22XzMubZuyGQCluek4cCDC9Cx5ioceHCBV9tqbf4cw76f4yRViNVt9rw/pPbi3NRohClkyE2Nxke3zmJ7MRERERG5ncOhY0dHB2688UbIZA4/lIiIgowoinho43E8+sVxAMDDl2Tiw5/OtDsAuWuucabwuweq0dblOyHYQD49ehYAcFl2EsIcXH6zakm2ud0W8E5F2k3TR2JCogoNHVq8vOuUx553KNvKGgAAF42Lh0Ju+fcPb4e1juj/cwwY26V/t2D8oI/r0RnM28+lhzry/vCl4JWIiIiIgofDyeEdd9yBDz/80B1nISKiAJFfpMa0F3ZA+dBG84KUPy+djGevnIQf5Y6wOwBZMD4B2UkqtHfr8d/91Z46vtM+O2psrV462bqteii+UJGmkMvw+GLfq3bcXlYPALhkgnX1qC+Etfbq+3McqpAhVGH8a1hJvWbQx729rwp1mh7EhCkwNTWKFYtERERE5BcEUbSx2nEQer0eS5cuRWdnJ3JycqBUKi0+/+KLL7r0gK7U2tqKmJgYtLS0IDo62tvHISIKSANt2bVnQ68tf9lZjgc+PYrctGgceOAii1nCvqS6uROjn94CQQDUq5YgOSrU20dyik5vwJQ/70BpvQbPXjnJ67MdtXoD4p/YBE2PHgceuAjTRljP9swvUvvM3EZHrD9Ugxv+sw9RoQqc/MMlSFRZv2d6dAZMfG4bTjV1Yu01k3H/RYNXRRIRERERuZu9+ZrDi2SeffZZbN68GdnZ2QBgtUiGiIiC2+qCYqvbhrOF+dZZo/CHL47jsLoVu0834fyx8a44pstJC2TOHxPnt4Ej0FvteOv/DuKFHWW4e95Yr26y/qGqGZoePRIilMhJtf0XGn/dTrw8Jw3TR0bjwJlWPL/9JJ5fOtnqPm/vq8Kppk6kRIWaxw0QEREREfkDh9ur165dizfeeAPHjx/Hjh07sH37dvOPbdu2ueOMRETkR4rrrFtFh7OFOS4iBDfmjQQAvOLDC2U+O+Z8a7Wv+XFe72zHrDXbEPHI58hbuwP5RWqPn2WbqbX64sxEyGSB9c1NmUzA6ssmAgBe3lUBdb+lOD06A/7fllIAwMMXZyIixHvhLxERERGRoxwOHUNDQzFv3jx3nIWIiALAyOgwq9uGu9jjrvONFV7vH6pBg6bH6eu4S3u3DltLjeHYNZNTvXya4VPIZbh8YhIA4GxbN7p0BhSp27BiXaHHg8dtpb2hYyC6clIyzh8Th06tAc9uK7P4nFTlmBoVav41QERERETkLxwOHe+77z787W9/c8dZiIgoAIyMsQwdXbHYY/boWGTEh6NbZ0Danwq8VnU3kK9K6tCjN2B8QgQmpfje1mRn7DBtjJZIy1qeKijx2Bk6tXp8d6oJAHBJgIaOgiDgqcuN1Y6vfn8alU0dACyrHB+6OBPhDm5DJyIiIiLyNof7dPbu3Ytt27Zh48aNmDJlitUimfz8fJcdjoiI/EtzpxY/VDUDACYkqlDV3OmSxR4bjpxFRWMnAEBnEM1Vd84up3G1vlurA2W+camNjcrDaZN3xnenGtGjN2BkTBiyklQee15Pu2RCIi4en4DtJxvw1JZS/Pv6aaxyJCIiIiK/53DoGBsbi+XLl7vjLERE5Of+d+AMunQGTE2NwqEHF7gsgFtdUAwBxmo7wLLqztuho94gYuNxY+h4zRT/b62WZCWpUKRuM7/mwPDb5AHjpunVBcUoqdMgK0mFVUuyB/w5lOY5XpKZGDBh7kCeumIi5v99F976oQoPXDSOVY5ERERE5PccDh3ffPNNd5yDiIgCwJt7KwEAt81Od2lIVFKnsQi/AM9X3Q1kT2UT6jU9iA1XYn6Gb27WdsaqJdlYsa7QMuwdZpt8fpHa4ppDVaxuN7V4B+o8x74uGBuPKycm44sTtZi29mvoDCIUMgGpfrwJnYiIiIiCm8MzHYmIiGw5XNOKwuoWKOUCbp4xyqXXzkpSwVaEOcEHWm4/NbVWXzkxGUp54PyxujwnDetvnYXJKVHm2566PNuuNvn8IjXy1u6w2HrdozPgkY3HANiuWO2vtau3Vf/i8QnD/XL8wsJM49epM4jm/9703/0+Nb+UiIiIiMheDlc6ZmRkDFq9Ul5ePqwDERH5isHaQB1pEQ0Wb/xgrHK8ZnIqkiJdW51lrrozLaWRjIiy3pTtaZ8dPQvAOM8x0CzPScPynDT84sNDeG1PJQ6eaR3yMf2rGQ+bqhmVMgFaQ/961YErVr8pb4TeIGJ8QgTGxEe44Kvxfe/sq7a6zVfGCBAREREROcrh0PG3v/2txcdarRYHDhzApk2b8Pvf/95V5yIi8qqB2kD/9aMcAMAvPyqyu0U0GHTr9PivKTC5bXa6y68vVd09VVCC4rp2jIgOQ3ljBzaX1OHjI2pcN9U7r3tZvQbHa9uhkAm4fGKyV87gCffOz8Breyqx4Ygapxs7Bg0B+8/flGgNIuQCoLfOHW1WrG41zXMMhtZqSUmd95f3EBERERG5isOh43333Wfz9pdffhmFhYXDPhARkS+wtbgEMIaN6HebLy018ZZPj55DQ4cWI2PCcFm2e8I3qepO8vvPjmHt1yfx8w8OYdaoWIyKDXf5cw5V7XrPBuP7IUwhw7ay+oD9+Z+aFo1LJyRia2k9Xv7uFJ5fOnnA+9qavwkAIXIZ/vuT6bj+7X1WFasJESEQRdGik2K7KXS8dELwhI7uWt5DREREROQNLhs+dcUVV+Cjjz5y1eWIiLyqeIDgZCD+Wo1ka/aeM6QFMj+dNQpymWe2DD9zxUTMHBWDxg4tfvq/A9DbaN0dykBff6dWj7/sPIkV6wpxWN2GLp3B3CZ843/24cb/7MOKdYVQt3YDANp79FixrjCgZ+/dOz8DAPDankpounUD3i/dRvgrCMCklEj8KHcE1t86C7mp0QhTyJARHwGZAOw42YDnt580379e041DNcZW7oXjgyd0XLUk2/xNDJj+O9zlPURERERE3uJwpeNA1q9fj/j4wNnaSUTBLSFCiRpToCQRBCA3LRqiKFpVIwFAZqL3l5o4wtFNwgOpau7E5pI6AMBt5412z2FtCFHI8O5PZmDG/+3EjpMNSH/qKzR3au2esTnQ7MEkVQjqO3osKvH6+uBQjc3bA73a9apJKRifEIGTDR34z75q/PKCsVb30RtEiP1euP7BWf+K1Zd3VeCeDUfwhy+PIztZheumpmGHaWv11NQopATR9ub+YwSykyKxakmWXct7iIiIiIh8jcOh4/Tp0y3an0RRxNmzZ1FXV4d//OMfLj0cEZE3nGnpRGOHFgDMgVTf4EQEbC41kQlAj86AEIV/bDC21ULuTHC2rrAKoggsGJfg8eB1QlIkfnZeOl7edQpn24whsb3h6UCzB+s0PYM+p9z0R2D/2YT+Wu1qL5lMwG/mZ+D+T47ib99W4K7zx1gtlnvl+9Moa+hAuNJYxVje0DFkcHb3vAwcP9eOf3x3Cjf/9wC++U0EtgXhPEdJ/1CWiIiIiMhfORw6XnfddRYfy2QyJCUlYeHChZg4caKrzkVE5DX3f3IUXToDspJUCFPIUFKnsQpO+lYjpceGo7K5E4fVbbj9/YN4+8fTIfNQi/Fw2GohdzQ4MxhEvPVDFQD3LJCxxzflDRYf2xueDjx7UEDVE4ux+JXvbc7XmzpAtWswzN677bx0rNpUjOO17fiqpA5L+szvVLd24Q9fHgcAPL90Mu6el2H3df9y7RSU1WtQUFKHxa98j7YuY/v2p0fPYsH4BIZwRERERER+yOHQ8cknn3THOYiIfMIXx89h/WE15DIB798yE9NGxNi8X/9qpM3Ftbj69b1498AZpEaH4oWrp3jqyE7p1umhlAnotvG5MXH2L2TZWd6A8oYORIUqsCLXO8GQsxt/JySqUHS2zeI24+zBKCRFhmLVkmyLitbBql2DZfZedJgSt81Ox0vfVOClbyosQscHPz2K1i4dZo2KwS/PH+vQdRVyGd67ZSZy/rwDZ1q7zLdXNnUG/WZ4IiIiIiJ/5R89gEREHtDRo8Nv8o3biO+7MGPAwNGWy7KT8frKaQCAF78ux8g/FQx7OYu79OgMuOHtfWjv0QMwtpD3VdXShZ0nG6wfaMMbpgUyN04fgYgQl40JdkhWksrqaxAwdNXheaNjLR9jY/Zg36UnuanR+OjWWVhmCpwH+lygu2deBgQB+OJELUpMwW5BcS3eO1gDmQD8a0WuU8uEYsOViAyVW9zWt2qViIiIiIj8i93/QpTJZFazm/oTBAE63cAbLYmIfNlTW0pxqqkT6bFh+OOSbIcff8vMdHxVXId39p+B2sH5gp6i0xtw87v78dmxcwhTyPDwxZn4+MhZFNe1Y3yiCjq9AcV1Gix5dTfeuWk6VkwbYfM6+UVqPLmpGEfPGSsFx8VFePLLsNC/IhEwhlW/trHoRFLb1o2PDhvD4JExYWjQ9NicPTjYfL1gnb03PlGFpZNS8Nmxc/jbtxV4fulk/NoU1t8zPwMzRsU6fe3TTZ1WtwX6rEwiIiIiokAliP3XTA7gk08+GfBz33//PV566SUYDAZ0dXUNeD9va21tRUxMDFpaWhAdHe3t4xCRDzmibsWM/9sJnUHEhp+dh2unpjp1nby1O3BYbd2ym5sajQMPLnDFUR2WX6TG6oJiFNdpEK6QoblLhxC5DB/fdh4un5hscd9OrR4/+e9+fHzkLABgRHQoGjssN0K/s68KP/3fQavn8Wawml+kxlMFJThR1w65AHRoDVgwLgFbfnm+zaq7n39wCG/srcT0kdHYe99FTlXmBbOtpXVY/MpuCABkggC9KCI+QomKPyxCVJjzFa95a3fYnJWZmxaNAw9459cPERERERFZsjdfs/tfBtdee63VbcXFxXjkkUfw2Wef4Sc/+QlWr17t3GmJiIYgBWcldRqLAMwV1/1TQTGOnG2DKAKz0mOcDhwB5+cLukt+kdpYBQhj9V+3zgAA+O1FGVaBIwCEK+X48KezcNVre1BQUoeaVmPF5mFTxWZsuALNndYV7c5svXalvlWHZfUaTH/xa3xd3oAXdpzEw5dkWtx3b2UT3vzB2Bb+t2U5DByd0Nxp3O4uAtCbvnfZ2KHFV6V1w3oPDDZHk4iIiIiI/ItTMx1rampw5513IicnBzqdDgcPHsS6deswZswYV5+PiMgcnBWp29ClM5hbloc7K1G67hF1m7ktt7CqZVjXdXa+oLusLig2B459z7P5RN2Aj5HLBJxts121bitwBHyrBTYzUYW/XjcVALBq8wn8//buPDqqKl3/+FOVQAagEgIJCYYwyiQERGwVlMEgYNP+UK/ajRMqFye0/SmiRmnQth0axam1nUUU5fYFUVsRBBFE2oiABEKAgAyGISGBEDKRsc79I1SZpCoQSM31/azFcuXUqcPexdtl+7D3fn/eX2h/zWo1dO+nW2QY0s3nJWpIlxgvjdK/Pbl8h2Odu+DsxWA+KxMAAAAINKcVOh47dkwPP/ywevTooczMTK1YsUJffPGF+vXr567xAYBDcOaq5hJPOAvkmvncGaN72cdnY0h6YFi3M35mc2zLK1HDMzQMnTogdLZiU5Jahph0Toc2TgMnbwWrztx6fidd3T9eVTWGbvjoZ5VV1oal76/fp3X7CtUmLFTPjuvj5VH6rx35pY515aLg+er+Cdo4dbjKnh2njVOHEzgCAAAAfqrJoeOsWbPUrVs3ffnll5o/f75++OEHXXLJJe4cGwBIcn3AUVpRrVfX7Kld4ejC50r1V2qFhZoVFlr7NfvTvsIzfuaZKKmo1t2fbFZVjeOxvU0JCJ2u2DRJfTq00RNj6wervrgF1mQy6c1rBqijJVxZ+aV68IutKjxepdTF2yRJM0f3VLwl3Muj9F+N1YcvBc8AAAAAvKvJjWTMZrMiIiI0atQohYSENHrfokWLXDY4V6ORDOCfnDVnkWqbS6SfojlL3bMgu8ZEqldca32364iOnjiTriFXN634dudhjXozTWaTtOH+YRrQMcolz22o7jw7WsJVXFGt/NJK++sNz8g71ZZV+1mQjbzP1rglK7/EaddnX/HNjnyNfutHSb/N4SxLuHY/lqIWIWd0wgh06voAAAAAELhc3kjm5ptvlsnEYfuALzpZkxV3NWDxpNSUszVh3s8O1ztFh8swjEa/mxo2UdmWV6JtebWrGLu3i9SI7u307k/73Nq04tKz2+va5AQt2JyjP3+6RavuHuLy79KG89xdUCZJim3VUvNvPE+F5VWnHRDaVmw29r66jVt8WVHFb2dQ2v6K7UBRub7Yesgvxu+rTlUfAAAAANDklY6BgJWOCEQNAyebiYMTJUlz1++3X7Pds3DiYL8KXOau26db/5WuULNJIWaTOrRuqezC2kYns/7QVw+O6O70fQNnr1KGky3UXdpGaGdqikLMJo+s2Ms+WqY+s1bqeJVV864/V9cPSnTp8/v8/VtlOTmDsV98G21+cIRLfy9/46wGTCYpOd6ijadYJQsAAAAAcOTylY4AfJOz7sRS/bDRxlBt8Pjksh1+EzoahqFX1uyWJD0xppdSU86WJM1etUvTvtyqh77cqgRLmG5oEOQdKq7QllzHwFGScosrFGKuXW3oiRV7SW0j9WjK2frL0iw99OU2XdE3Xm3CT//rt+6q1e7tIjWkS4wycoudBo6S9Mth59eDiTsbngAAAAAAGuc3oeNTTz2lxYsXKz09XS1btlRhYaG3hwT4BGehiiSdyNRkbfCibZuxv1izp0AbDxQpPNSs2y/sbL8+dUR3HSgq10urd2vi/I2asTRLOUXl6hnbSmN7x2nOT/sc5i55r9nF1OHdNWfdPu0+Uqa/fbNDf/9D39N6f8MVrZmHSpR5qPE/R5p61OoZ28rpSkc+GwAAAABwL785Rb+yslLXXnut7rrrLm8PBfApZ0U5duA1maT+CRb1i2/j0GFWkmqsVqXtLXD/4Fzgle/3SJJuPC9R7Vq1rPfa83/oq6Fd2spqSHsKylRebdXmnGLNWrlL+aWV6hwdIck3uiyHtwjRS+P7SZKeW7VL4Q8v1sDZq7QoI6dJ729sRWuCJUzvXJssyTfm6WtmjPb9TtsAAAAAEIj8JnR84okndP/996t///7eHgrgM6pqrKqssda7VjdUcQhcTtxTY0ij3kzTvzNzPTre0/VrQZk+3VIbyv354q4Or5vNJh0rr3a4LtU2Udn+yEgtnDhYyfEWhYealRxv8Wp33bp/VpU1VmXkFOuaueubFDxm5Tlf0Xq0rEq3XdDZp+bpS2wNT/hsAAAAAMCz/GZ7NQBHL67erX2F5WoTFqqk6AjtOlLq0AylYYfZh0Z218cbD2jxtjxd/f46Tb6ws9L2Fvhkd+vXftgrqyGlnN1e/RKcH07b2LmFxRXVCgsN8akuyw1XK9oC4VOdsWkYhlqEmFRRU/963W3CvjRPX8NnAwAAAACeF9ChY0VFhSoqKuw/FxUVeXE0gGvtLSjTE8uyJEmvXNlPE8/v5PQ+Z4HLtQM66s5PMvTeT9l6M+1X+3Xbyjtf6G5dWlGtd9ZmS3K+ytHGn87sO9OmJh9u2K+SytrE0RZask0YAAAAAODLvLq9+pFHHpHJZDrpr+3bt5/x85955hlFRUXZf3Xq5DyUAfyNYRi699MMHa+yani3drp5cOKp31RHaIhZb1+brLjW9c9IrLvyzts+2LBfhcer1L1dpMb16dDoff50Zl/P2FZOz9jsGhPZ6Htyi8p1/+eZkqQbBp2l5AS2CQMAAAAAfJ9XVzpOnTpVt9xyy0nv6dat2xk/PzU1VQ888ID956KiIoJHBIRPt+Rq8bY8tQgx6fVr+stkchZlnZzJZFKRk/MQm7Lyzt2sVkP/WFPbQOaei7vKbG58frYz++puIa+7vdyXzBjdq7YD9Ylg1Ka0slpF5VWyhLdweM+9n27R0eNVGnRWlOb8caBCQ/zmKF4AAAAAQBDzaugYGxur2NhYtz0/LCxMYWFhbns+4A3F5dW677MtkqSHRvZQ77g2Z/wsX9yavCgjR9O+yNSeguMym6R2kY5BXEP+cmZfw4C0a0ykcovLlV1Yruvn/azPb/udQuoErJ9sPqhPMnIUajbp3T8OIHAEAAAAAPgNvznTMTs7WwUFBcrOzlZNTY3S09MlST169FDr1r53dhsatygjR39dluW0ccnJXgt2ts8mM7dENYahDq1b6tGUs5v1TPvKO9VpbuLFrcmLMnJ0zdz19p+thnTz/HRFtgwNmDpoGJCuyy7U8H/+R19tz9ODX2TqxfH9JEkFZZW659PfwuUBHaO8Ml4AAAAAAM6EyTCMhn0NfNItt9yiuXPnOlxfuXKlRowY0aRnFBUVKSoqSseOHZPF4rwTLtzLFirZm2Gc+OfCiYMlqdHXAiVwOlMNPzcbV3w2izJy9OSyHcrILZLVkC5Maqsf/nxxs555pgY8v0pbch1XXibHW7Rx6nCvjMkTFmw6qD9+uEGS9MY1ybr9ws669X82au76/eod11o/3z9M4S1CvDxKAAAAAACanq/5TejoCoSO3jdw9iqH7bySFNuqpQxJh0sr610PhsCpKZx9bq7+bDJzi5U8e5UMQ1r//y/RoMRolzy3IWerWXu0a6W56/fpxdW7nb4nPNSssmfHuWU8vuLJ5Ts08+ssmU1S+1YtlVdS+7+Fpy7vrdRmrmgFAAAAAMBVmpqvcUAYPCorv9QhcJSk/NJKh8BR8o2mJr5gh5PPzdWfzTnxbXTDuWdJkv6yNMtlz63LtmIzI6dY5dVWbc4p1jVz12vgC981Gjh6+4xJT5k+6mxd0jVGVkP2wFGSHluyXYsycrw4MgAAAAAATh+hIzzmcGmFGutBHNuqpWJbtXT6Ws9Y/wucFmXkaODsVYp8ZLEGzl7V7NCoR/tWDtfcEcbNHN1LoWaTlmzP05o9R1z6bEl64usshy3iNlf3j9fDI7tLqp2b7Z/ePGPSk0wmk44er3JyXXpy2Q4vjAgAAAAAgDPnN41k4N8Ol1Yo5Y00lVdbJf12XqMtVHrjmmQZOnGm44lrNpbwUFVU1ygs1D/OtGt4/mLGidV8zTl/sX+CRVtyi+0/uyuM696+lW79XSe9/WO2pi/ZrpV3DZHJ1FhU3LiGW6hvGJSo7MLjyqgzh7rCQs1aOPF8SdL5SW3t3Z17xbbWjNE9dVWQnOn5y+FSh2us9gUAAAAA+CNCR7hdfkmFRr2ZpoycYsW3CVNqytl6b22201Bp4cTB9sAptnVLHThWrjV7CjTunZ/0ycTBiopo4eXZnNpfl9VfzWcLV59ctuOMQsdDxRX6YmuuJCkpOlx5JZVuDeP+MqqnPli/X6t3F2j5jnyN7hV3Wu9vGLpuzinW5sXbGr3fZJJ611mx2bC7czDpGdvK6dmdwbC9HAAAAAAQWAgd4VZ1A8cES5i+vXOIesW11r0Xd3V6f8PAaVlWnq75YL2+/eWwBs7+TpEtQ7SnoMzegMQXwyln51YahrQ978xWq834ertKKmp0fqdopd17sczm0195eDoSoyN015Auemn1bk1fsl2X9Yw9rdWODUNXm+jwUE0Z2lVPrdhpX6kZTNunm2LG6F71Vvvy+QAAAAAA/BVnOsItFmXkqN9zKxX/+DJl5BQrOiLUHjiejtG94rTqriGKCg/Vr4XHtS2vROXVVvuWZV9rsFFVY1VoI6FgRY1Vf/xgvZ5dsbPJ5z1uySnSu2uzJUmz/19ftweONo+M7KFWLUO0fv8xfbYl97Te66zpjSSVV1v15OW9tXDiYCXHWxQealZyvEWfTBwcNNunT+Xq/gl8PgAAAACAgGAyDMNZPhCQmtrSO5g0PHvPFasHbdtrG2rOmYZ9Zn2rrLz6592ZTFJyvEUbpw4/o2e6w58/26JX1+yRVOfcSjlvnFL3nsY+m8vf/lFfZ+Xrv/onaMHEwe4ZdCOmL9mup1fsVFho7d9N9GpifSQ/v6re+ZPSiT+rBIs2PuA7f1YAAAAAAOD0NTVfY6VjELOFgxk5xS5dPThz6XaHa83twPtrwXGHa77WYOO9n7LtgeNDI7srOeHEarWE2tVqm6YOV9sGZ1LWPe+xoa+z8vR1Vr5ahJj07Lg+nphCPb1iaztmV1RbVXEa9THorKh6P7NFGAAAAACA4MOZjkHMacMTSdOXbNNV/eL16Zbc014FWVRepa2HHIPA5gaEzhpsSL7TYOPHX4/q7k8yJEmPj+6lGaN76tlxjvcdr6pxuGYY0vYGn011jVUP/nurJOmeoV3VvX0r1w/6FGZ/t6vez01piFNaUa2lWXmSpMSocB0udW/TGwAAAAAA4JsIHYOY04YnkrbnlSp6+lIVV1Tbr9tWuZ1si3RZZbWuePcnp1uJm9uBt2GDDZth3WLO+JnNZduanpVXqhrDULXV0FX94jV91NmNvqex8LTGamjNniO6uGs7SdJ76/Yp81CxYiJbnPR57rQjv9Th2qnC4zfSflVeSaW6tYvUtodGqkUIi6kBAAAAAAhGJAJByjAMtW4Z4vQ1k1QvcJR+WwXZ2Bbp8qoaXfX+On2/p0CRLWrLytbw2BXbaxs22OjQOkyS9M7abGXkFJ3xc89U3a3pFTVWVVsN+zhP1uxlxuhe9hWDUu1nKknVVkMjX0/TLfM3qv/zq3Tnws2SpPHnxKttZEs3zqRxPWNbqeFMTGo8PC6tqNaslb9Ikh5LOZvAEQAAAACAIEYqEKRe+G63jpRVSfot+LIFYfNvHKSWIY7BmSEp81Cxqmqs9a5XVlt13QcbtHzHYbVqGaLld1zklg68V/dP0Mapw1X27DgdmHGZxvSK1fEqq66Zu15F5VXNevbparg1Xar9HJ9ftauRd9Ry6E6cYNFH15+rCeeepRqroQ827FdmnSYsc9bt81qH7oYBqVQ739sv6Oz0/tfTflV+ae0qxxvPS/TIGAEAAAAAgG+ie3UQWrjpoK77cIMkaeLgRKUfKFJWfkm9s/cGzl7ldBuwJJ3ToY3+NLCjFmw+qKz8UoWHmnWsvFrhoWZ99d8XaESP9h6Zx+HSCg16YbX2HyvXtckJ+p+bzpPJ1PgqQ1eKeGSxKqqtDtfDQ80qc3aY4ykYhqFOTy7XwaKKete93aF7UUaOnly2Q9vzSxR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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from sktime.forecasting.ltsf import LTSFTransformerForecaster\n", "\n", "y = load_airline()\n", "\n", "y = (y - y.mean()) / y.std()\n", "\n", "model = LTSFTransformerForecaster(\n", "\tseq_len=30,\n", "\tcontext_len=15,\n", "\tpred_len=15,\n", " num_epochs=50,\n", " batch_size=8,\n", " in_channels=1,\n", " individual=False,\n", " criterion=None,\n", " criterion_kwargs=None,\n", " optimizer=None,\n", " optimizer_kwargs=None,\n", " lr=0.002,\n", " position_encoding=True,\n", " temporal_encoding=True,\n", " temporal_encoding_type=\"embed\", # linear, embed, fixed-embed\n", " d_model=32,\n", " n_heads=1,\n", " d_ff=64,\n", " e_layers=1,\n", " d_layers=1,\n", " factor=1,\n", " dropout=0.1,\n", " activation=\"relu\",\n", " freq=\"M\",\n", ")\n", "\n", "model.fit(y, fh=list(range(1, model.pred_len+1)))\n", "\n", "preds = model.predict()\n", "plot_series(y, preds)" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "True" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "model.get_class_tag(\"ignores-exogeneous-X\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# MVTSTransformerClassifier" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "- **Title:** [ENH] PyTorch Classifier & De-Novo Implementation of Transformer\n", "- **Status:** Merged\n", "- **Pull Request:** [#6791](https://github.com/sktime/sktime/pull/6791)\n", "- **Related Issue:** [#6786](https://github.com/sktime/sktime/issues/6786)\n", "- **Research Paper:** [A Transformer-based Framework for Multivariate Time Series Representation Learning](https://dl.acm.org/doi/abs/10.1145/3447548.3467401)\n", "- **Official Code:** [gzerveas/mvts_transformer](https://github.com/gzerveas/mvts_transformer)\n", "- **Sktime Source Code:** [sktime/classification/deep_learning/mvts_transformer.py](https://github.com/sktime/sktime/blob/main/sktime/classification/deep_learning/mvts_transformer.py)\n", "\n", "This pull request introduces the `MVTSTransformerClassifier`, an implementation based on the paper \"A Transformer-based Framework for Multivariate Time Series Representation Learning.\" The paper demonstrates how the MVTS (Multi-Variate Time Series) Transformer can be applied to classification and regression tasks.\n", "\n", "In this PR, I implemented the [`BaseDeepClassifierPytorch`](https://github.com/sktime/sktime/pull/6791/files#diff-bbe6571ca91b7ba8297d9c19de41b7a86f201533bac9d307ea3a99781726841c) class, which serves as a foundation for building PyTorch-based deep neural networks for classification.\n", "\n", "Next, I utilized the [`TSTransformerEncoderClassiregressor`](https://github.com/sktime/sktime/pull/6791/files#diff-8eef014681dea4cdf5c555aadf8e08ab1535f57de6b332ed7fa0e972272a609a) class, inspired by the mentioned research paper, to construct the PyTorch network.\n", "\n", "Finally, I developed the [`MVTSTransformerClassifier`](https://github.com/sktime/sktime/pull/6791/files#diff-44b50f069a3c5c1dbf87bec02ac01fc5658391a07590f4bccf92cf6a2b5ec214) class, which connects the network class with the PyTorch base class, completing the estimator.\n", "\n", "Throughout this process, I deepened my understanding of transformer architecture." ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [], "source": [ "from sktime.classification.deep_learning import MVTSTransformerClassifier\n", "\n", "model = MVTSTransformerClassifier(\n", " d_model=256,\n", " n_heads=4,\n", " num_layers=4,\n", " dim_feedforward=128,\n", " dropout=0.1,\n", " pos_encoding=\"fixed\",\n", " activation=\"relu\",\n", " norm=\"BatchNorm\",\n", " freeze=False,\n", " num_epochs=30,\n", "\tverbose=False,\n", ")" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(array(['1', '1', '1', '1', '1', '1', '2', '1', '1', '1', '1', '1', '2',\n", " '2', '2', '2', '2', '1', '2', '2', '2', '2'], dtype=',\n", " )" ] }, "execution_count": 26, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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UgGiDtaPWRycMbqJog6nuIABWSLrCQJKIiIiIiIgoxJyot8+PdKNdGwDGsGUb5sZSAIAyJgPK6BS3PkcRkwYoNQBEWCKo/dhQvg7V/7lO+kC0oaPiI48+X1AoodRlAgCsETpH0tJcDtHcDkEZBXVSfqCPE3QYSBIRERERERGFmHLHhu3BF9oAQG6y1LKtbzWiy2z12bmCmanRPj/SzXZtABAERXeVZIS0bRvK16F2/S2wtp8FAIhmA2rX3wJD+TqPrqPU2RfbRFCQ25NRnh+ZWgBBoQrsYYIQA0kiIiIiIiKiEFPhYSCZEqOBTqMEAMcynEhjtm/YdnehjUwVYZu2m3Y8DaD3GAABzTue8eg6KnsgGakVkib7/Ei2a7vGQJKIiIiIiIgoxHjasi0IQsS3bXu60EamircvtomQTduWpjIAYq9bRZibSj26jjJW3rR91jsHCzGm2gMAAE3a9MAeJEgxkCQiIiIiIiIKITabiIpGzyokASA3yR5IRuhiG3PjMQCetWwDgFKukIyQlm1VUh5cVUh6OgfR0bIdgRWSoig6NmxruGHbJQaSRERERERERCFE39aFTrMNSoWAnKRotz8vxz5HsrIx8lq2beYOWFoqAQAaT1u246QKSXlDd7hLmvMEnCskBQAiEuc84dF1VLEjAQDW9sgLJK0GPWyddYCggCZ1aqCPE5QYSBIREREREVHQKyrRY/qaLYh59BNMX7MFRSWRF3LI5HbtnKRoqJXu/7Nebtk+FYEt21K7sQhFdCqUMekefa4qTp4hGRkVkrrxSxA/80H7RwI0qQVIX/wudOOv9+g6SscMychbaiPPj1Qn5UOhdm+sQqRhIElERERERERBrahEjxvX7kaJvg1dFhtK9G24ce3uiA0lTzgW2ngWdOQmR27LtrlB2rDt6fxIoOdSm8gIJAFAGZMBANBNvBUj79jtcRgJAKrYyG3ZdmzY5kKbfjGQJCIiIiIioqC2ulhapiE3kYoABAF4qrgsYGcKpBMNUqA41oP5kQCQmyS3bEdeICkvtPF0fiQAKO0t27auBtjMkfHaWVpPAQBU8TlDvoZSJy21sXXWQ7QYvXKuUCFXSGq50KZfDCSJiIiIiIgoaFmsNhyubutzuygCpXXtAThR4MkVkuM9DCTllu3adhM6TBavnyuYmRvsgaSH8yMBQKFNhKCWXmtrhCy2kQNJdXzukK+hiEoGlBrpehFWJenYsM0KyX4NO5C0Wq3Yv38/mpqavHEeIiIiIiIiIgBAh8mCG9buhlXse58gAPnpsf4/VBA4UW9v2U71rGU7MVqN+CgVAOBUU2QttpErJIfSsi0IQsS1bVtaTwIAVHGjh3wNQRCgsldJWiMokLR2NcPSal+gxA3b/fI4kHzwwQfx2muvAZDCyPnz52PmzJnIzs7Gli1bvH0+IiIiIiIiikB17UZc/uft+PhIDVQKwek+AVKF5Kor8gJzuACTW7bHeVghKQgCcpOkEDOS2rZtli5YWioADK1CEuhu246EQFIURa+0bAOAMlYOJCNnsY2pTqqOVMXlQBmVHODTBC+PA8n3338f06ZJCe/HH3+MyspKHDt2DA899BAef/xxrx+QiIiIiIiIIoO8STvq558g+6kvsLOqGUnRavz33rl4f9lsxKilf8KOTorGB8tmY0lBVoBP7H+NHSY0dZoBAGOTPd/eOyZZmiN5sjEyKiQN5etw9q1ZgGgDBAW6zu0Y0nUcm7bbT3vzeEHJ1tUA0SIF1sOpkAQAlX3TtqU9ciok5fmRmnRWRw7E40Cyvr4emZmZAIBPP/0UN910E/Ly8vD9738fJSUlXj8gERERERERhb+em7RNVhtM9j7tXy7Mw7wxKVhakIVrp0j/Fv3xhbkRGUYCwIl6KSjKitdCp1V5/Pk5yZFTIWkoX4fa9bfA0lwu3SDaUPfJLTCUr/P4Wip7haQ1Aiok5epIpW4EBJV2WNdS6iKrQtJQvg7NO58BAHTpdwzpvRYpPA4kMzIycOTIEVitVnz++ee44oorAAAdHR1QKpVePyARERERERGFv9XFpVIrdo/bBABv7OquSMuNoDCtP/JCG0/btWVyy/appvB/DZt2PA24eFc173jG42upIqhl2zE/cpjt2gCgjJW+cRAJMyTlANxmbAYA2DrqULt+aAF4JPA4kLz77rtx8803Y+rUqRAEAQsWLAAA7Ny5ExMnTvT6AYmIiIiIiCj8ldUZ0Ht3jQjnTdryluiTDCQxLsXzdm0gsl5DS1MZ4OJdZW4q9fhajqU2EdCy7a35kUDPlu3wr5DsDsBlIoYagEcCj+u7n3zySRQUFKCqqgo33XQTtFqpfFepVOLRRx/1+gGJiIiIiIgo/OWl6VCib3OuZeu1SXsMKyQdLdvjUodYIWmfIRkJr6EqKQ/m+kPoXSGpTsr3+FrKuMjZsm12BJLDmx8JAMrYkQAAawQEkt4MwCOBRxWSZrMZl19+OQoLC/HQQw9h1KhRjvuWLVuG6667zusHJCIiIiIiovC3amF+nzCy9ybtsfaqwJNNnbDZev/DPzJ4q2W7ocOMti6L184VjJLmPIG+QwBEJM55wuNryS3boqkVNmOLV84XrLorJHOHfS2lXCEZAS3bqqQ8OFdIAkMNwCOBR4GkWq3GwYMHfXUWIiIiIiIiilBLC7LwvRlSNZVCAAoz4/ts0s5OjIZCAIwWG6rbjIE6akCdaLBXSA6xZTshWo2kaDWA8J8jqRu/BMkXv+D4WJ1agPTF70I3/nqPr6VQ66DQJgEALG3h3bbtzRmSqlhpqY1oaoXN1D7Io0ObNwPwSODxDMk77rgDr732mi/OQkRERERERBFMqZCqi351ZT72rZzfZ5O2WqlAdmLktBz39q+9Z3CutQsA8P1/70dRydCqziKpbVupkzaza7PmYNQdu4cURspUEdC2LYoiLK1VAAC1FwJJhSYOgloauxDui21045dAkz5T+kChgmYYAXgk8HiGpMViweuvv46NGzdi1qxZ0Omcy8Rfeuklrx2OiIiIiIiIIsexWqmCalJGXL+PGZMcg1NNnahs7MBFY5L9dbSAKyrR4/a39zk+PlrTjhvX7sb7y2Zjaa/gdjC5STHYd7YVJ5s6vX3MoGNuPAoAUKdMHva1lHHZQH0JLO3hG0jauhohmqXfh8q44c+QBABVbBbMTcdhMeihTprglWsGK1tXEwAgc8lniM6eH+DTBDePA8lDhw5h5kwp8S0rK3O6TxB698oTERERERERDU4URUcgOTEttt/H5SbHACcaIqK6r6fVxaX2BlCJCGnO5lPFZZ4HkhG0advUcAQAoEkefiApb9q2hnHLtjw/UqnLgkIV5ZVrKnUjYW46Dmv7Wa9cL1jZzAZYWisBABovBODhzuNAcvPmzb44BxEREREREUWwc61daDNaoFQIGD/ABulI3bRdVmfou79XBErrPJ/LF0mBpLnRHkh6ISCKhJZtb86PlCljpcA83Fu2zY3HAACKmHQoY9ICfJrg5/EMSVl5eTk2bNiAzk6pxFsUI3PDGREREREREQ2fXB05LiUGGlX//1QdE0FhWk95aX1DWkEA8tP7rybtT26SNEPyZJgvtbFZumBuPgEAUKdMGvb1lHIgGcYt244N215q1wYAlbxpuz28A0lTw2EA3qnGjQQeB5INDQ24/PLLkZeXh2uuuQZ6vfSGWr58OVauXOn1AxIREREREVH4O1pjb9ceJGCL1ArJVQvznT4WBKlCctUVeR5fqzvUDe8ZkpamMkC0QaFJgFI3YtjXk0O6cN6y7QgkvVkhaX/trYZzXrtmMDI3eK8aNxJ4HEg+9NBDUKvVqKqqQkxMjOP2W265BZ9//rlXD0dERERERESRwTE/Mr3/hTZAd5h2urkTZqvN5+cKFnNGJzl+rlUpUJgZjw+Wze6zidwdOUnSa9jUaUZLp9lrZww28vxIdcpkr+y8kFu2rW1nwrZL1Oxo2c712jXllm1LmLdsmxq8t0ApEng8Q7K4uBgbNmzAqFGjnG6fMGECTp065bWDERERERERUeSQZyEOViGZGaeFVqWA0WLD6eZOjE3pf95kONl7tgUAMCUjDiU/u3RY14qLUiElRo2GDjNONnVgWnSCF04YfExenB8JACrdSACAaO2CrasByuhUr1w3mFjaqgB4t0JSJVdIRkrLNgNJt3hcIWkwGJwqI2WNjY3QarVeORQRERERERFFFndbthUKwTEDMZLatveekQLJWaO8Ex5GQtu23EKrTh7+/EgAEFRaKGMyAIRn27Yoir5p2Y6VA8mzYVtZajO1wWoPc1kh6R6PA8mLL74Yf//73x0fC4IAm82GF154AZdddplXD0dEREREREThr7XLjHOtXQAGDySByJwjufdsMwBghpcCydwIeA3NjVILrTcr1pRhvGnbZmyCaGoDAKjivbfURmlfaiNau2AzNnvtusFEbtdWxmRCGZUc4NOEBo9btl944QVcfvnl2L17N0wmEx555BEcPnwYjY2N+Prrr31xRiIiIiIiIgpj8vzIzDgtEqPVgz4+EsK03uQKyZkjvRNIynMkw3XTtvOGbe8FkqrYUTDV7IE1DDdty9WRypgMKFTRXruuQhUFRVQybF2NsBrOQRmVNPgnhRhzY/e8UnKPxxWSU6dORVlZGebNm4frrrsOBoMBS5cuxb59+zBu3DhfnJGIiIiIiIjCWPdCm8GrI4HIaDfuqbbNiDMtXRAEYPoIb7dsh2cgaW4qlTZsaxMdFXreoIrLBhCeLdsWx0Ib77Vry+Rfg3CdI2nihm2PeVwhCQAJCQl4/PHHvX0WIiIiIiIiikBDDSQjpUJSXmiTl6pDXNSQ/hnfR26yVAEXrqGu2csbtmUqR8t2OAaS3p8fKVPpRsDccBgWwzmvXzsY9Hy/kXs8/pPs4MGDLm8XBAFRUVEYPXo0l9sQERERERGR2zwOJFMiM5CcOSrRa9d0VEg2dUAURa+GdsHAJM+P9NJCG5nFXuFnKH0XZxqOIGnOE9CNX+LV5wgUXwaS3YttWCFJEo8DyenTpzv+oJK3I/X8g0utVuOWW27BX/7yF0RFRXnpmERERERERBSu5EByUkacW4+Xw7SaNiM6TBbEaLxTNRis9nl5fiQA7LeHnK1dFhS8uAWrr5qIpQXea20ONF9UrBnK16F13+/tH4kw1x9C7fpbkL7432ERSnYHkrlev7bN1AoAaNr+JNrL3g2rINdmbHHMFFUnM5B0l8czJNetW4cJEybg1VdfxYEDB3DgwAG8+uqryM/Px9tvv43XXnsN//3vf/HEE0/44rxEREREREQURsxWG8rrDQDcr5BMilYj3t66HK4txz3tOdMMAJjppQ3bRSV63P72PsfHR2vacePa3SgqCZ/qNV9UrDXteBpAz0pSEYCA5h3PeO05AslXFZKG8nXoKF8nfSBaHUGuQb4txDk2bOtGQBmVGNjDhBCPv430zDPP4Pe//z2uvPJKx20FBQUYNWoUfvGLX2DXrl3Q6XRYuXIlXnzxRa8eloiIiIiIKNQVleixurgUZXUG5KXpsGphflhVpnnqRIMBFpsInUaJUQnuddkJgoAxyTE4cK4VlY0dmJzpXmVlKGrsMOFkkxS6zvBSheTq4lIIkOI02P8rCMBTxWVh8V60WbpgaakA4N0KSUtTGbpfNZkoLdAJcaIowuwIJEd79drdQa7TOw7NO54JiypJbtgeGo8rJEtKSpCT0zctz8nJQUlJCQCprVuvH/w7K08++SQEQXD6MXHiRMf9XV1dWLFiBVJSUhAbG4sbbrgBNTU1TteoqqrCokWLEBMTg/T0dPzsZz+DxWLx9MsiIiIiIiLyuaISPW5cuxsl+jZ0WWwo0beFXWWap3rOj/RkjmGkLLbZZ2+tHpsSg8RotVeuWVZn6BuriUBpXbtXrh9o5sZj3Ru2YzK9dl1VUh6cKyQBQIA6Kd9rzxEoNmMzRHtbtSrOuxWS4RzkApwfOVQeB5ITJ07Ec889B5PJ5LjNbDbjueeec4SJZ8+eRUZGhlvXmzJlCvR6vePHV1995bjvoYcewscff4z33nsPW7duxblz57B06VLH/VarFYsWLYLJZMI333yDtWvX4s0338SqVas8/bKIiIiIiIh8bqDKtEh1tMazhTay3AgJJPfY50fO8uL8yLw0Xd9YTQDyPfw1CFZm+0Ibb2/YTprzBFwFa4lzQn9knaX1JABAEZMOhTrGq9cO5yAXYCA5VB63bL/yyiu49tprMWrUKBQWFgKQqiatVivWr18PAKioqMCPf/xj9w6gUiEzs+93LFpaWvDaa6/h7bffxne+8x0AwBtvvIFJkyZhx44dmDNnDoqLi3HkyBFs3LgRGRkZmD59Op566in8/Oc/x5NPPgmNRuPpl0dEREREROQzx2rbw7oybShK7RWSnoZhji3RYR5IyhWSM7w0PxIAVi3Mx41rdzuH4yKw6oo8rz1HIDkCIi8vGNGNX4L0xf9Gw5aVsLafgaDSIe2qN6Abf71XnycQ5PmRai9XRwJSkFu7/pZet4ZHkAv0WKDEhTYe8bhC8sILL0RlZSVWr16NwsJCFBYWYvXq1aisrMScOXMAAHfeeSd+9rOfuXW948ePY8SIERg7dixuv/12VFVVAQD27NkDs9mMBQsWOB47ceJEjB49Gtu3bwcAbN++HQUFBU7VmFdeeSVaW1tx+PDhfp/TaDSitbXV6QcREREREZEvnag3wGrrHUeGV2XaUDg2bA8xkAz3Csm9PtiwvbQgC+8vm43CrHhH3drPLxuPJWEwPxLwzYZtmW78EmQu/cT+kYiYsYu9/hyBYGmVshhvL7QBuoNcZWw2AEBQRSN98bthEeRau5phNZwDwApJT3lcIQkAcXFx+NGPfjTsJ7/gggvw5ptvIj8/H3q9Hr/61a9w8cUX49ChQ6iuroZGo0FiYqLT52RkZKC6uhoAUF1d3ac1XP5Yfowrzz77LH71q18N+/xERERERETuqGs34uq/7YS1Vx4pILwq0zwliiKOOmZIeraYJhICyZZOM47bN5B7a8O2bGlBFpYWZOHeDw7iL9tPodNi9er1A8lkb9n2VUCkTsqHoImHaGqFqeEwtGnTfPI8/uSrDdsy3fgl0GbMxunXxkG0GhGdfZlPnsff5IU2yrhsKLTxAT5NaBlSIHn8+HFs3rwZtbW1sNlsTvd5Mr/x6quvdvy8sLAQF1xwAXJycvDuu+8iOjp6KEdzy2OPPYaHH37Y8XFrayuys7N99nxERERERBS5OkwWXPv6LpTXG5CTFI0nFkzAE58dQ027CUkxavz1pmlhU5nmKX2rEW1GC5QKAeNTPZtbl5sk/ZuxpcuCpg4TkmLCb2TX/nNSdeToxGik6rQ+eY7LxqXiL9tPYXN5vU+u7282S2ePDduTfPIcgqCANmM2uk7/F8bq3WESSJ4E4LtAEgBUcdlQJY6HpbkcXWe/QszYRT57Ln/x1XiASOBxIPnXv/4V9957L1JTU5GZmek0IFYQhGEtlElMTEReXh7Ky8txxRVXwGQyobm52alKsqamxjFzMjMzE7t27XK6hryF29VcSplWq4VW65s/zImIiIiIiIpK9FhdXIrSOgO0SgVajRYkRavx2Q8uwMT0OKgUCtz97/2YNSohYsNIADha2wYAGJscA61K6dHn6rQqpMdqUNtuQmVjR1gGknvt8yO9XR3Z06XjUgAAJfo21LUbkRYb2v9WNjeW2jdsJ3l1w3Zv2kw5kNwFFCz32fP4i68rJGXRoy5FW3M5Os9sDYtA0pfjAcKdxzMkn376aTzzzDOorq7G/v37sW/fPsePvXv3Dusw7e3tOHHiBLKysjBr1iyo1Wps2rTJcX9paSmqqqowd+5cAMDcuXNRUlKC2tpax2O++OILxMfHY/JkvhmIiIiIiMj/ikr0uHHtbpTo22C02NBqtAAAVs4f52hLzrFX951s7AzYOYPBsdqhbdiWhXvbtmN+pA8DyfQ4LaZmSu/LrScafPY8/iK30Hp7w3Zv2szzAQDGmm999hz+5K9AMip7PgCg6/Rmnz6Pv5gapP0lnB/pOY8DyaamJtx0001eefKf/vSn2Lp1K06ePIlvvvkGS5YsgVKpxG233YaEhAQsX74cDz/8MDZv3ow9e/bg7rvvxty5cx3LcxYuXIjJkyfjzjvvxIEDB7BhwwY88cQTWLFiBSsgiYiIiIgoIFYXlzptLwakWZHvHTjn+DgnSQrSqpo7YXOx6CZSeC+QDM9g1xcLbVy5dHwqAGBzGASSjhZaHwdE2szzAEgVcjZTu0+fy9esXc2wmaT3mj8qJAHAVHcQ1s7Qf7+Z/fR+C0ceB5I33XQTiouLvfLkZ86cwW233Yb8/HzcfPPNSElJwY4dO5CWlgYA+O1vf4vFixfjhhtuwCWXXILMzEwUFRU5Pl+pVGL9+vVQKpWYO3cu7rjjDtx1111YvXq1V85HRERERETkqbI6A3pHjCKA0rru0GJUYhQUAmC02FDbbvTr+YLJcAPJ3DCukGw3WnDM/p7xdSB5mb1tOxzmSJobpIU26mTfzI+UqXRZUMaOAkQbjLXD6xYNNHl+pCI6DQq1zqfPpdRl2H9tRHSd3ebT5/I1a2cDrB3S2EBfv9/CkcczJMePH49f/OIX2LFjBwoKCqBWq53uv//++92+1jvvvDPg/VFRUXjllVfwyiuv9PuYnJwcfPrpp24/JxERERERkS/lpelQom9zrpAUgPweoZtaqcDIhCicbu7CyaZOZMZH+f+gQcBbFZInwzCQPHCuFaIIjIiP8vn7Y/64FAiC9Ouhb+1CVgi/H329YbsnbeZ56Cg/A2P1t4gedYnPn89XLG1VAHxfHSmLzr4M5saj6Dq9FbrxS/zynL4gV+Oq4nKg0Aztz7BI5nEg+eqrryI2NhZbt27F1q1bne4TBMGjQJKIiIiIiCjcrFqYjxvX7nZ8LAiAKAKrrshzelxuUgxON3fhVFMH5uQk+fuYAdfWZcHZli4AnCHpimOhjY+rIwEgOUaD6SPise9sK7acaMBtM0b6/Dl9wWbphKX5BAD/LBmRAsl10mKbECbPj1T7KZCMyp6P1gN/RGeIz5HkQpvh8TiQrKys9MU5iIiIiIiIwsLSgiw8ePEY/O7LSggACjPjsWphXp9t2jlJ0fiyMnIX28jVkRlx2iFvyB6b0l0hKYqiT5eY+NveM80AgBk+XGjT06XjUrHvbCs2l9eHbCBpbjwGQIQiKhnKmAyfP1/3YpvdgzwyuPlroY0sauQlAASYG4/CaqiBUuf7XytfMDXK8yPZrj0UHs+QlJlMJpSWlsJisXjzPERERERERCFPbtf+8UW52Ldyfp8wEgBG2xfbnGoKv+o+dxyrawMATBpidSQAZCdGQyEAXRYbqtvCaxanXCE5y0+B5GXyYpsQniNptrdr+3rDtkybPhMQFLC2nYbFoPf58/mKPEPSX4GkMjoFmrRCAEDnmS1+eU5fYIXk8HgcSHZ0dGD58uWIiYnBlClTUFUlzRq477778Nxzz3n9gERERERERKHm29PNAIDzRyf2+5jc5GgAQFVTZFZIHq2RKiTzhxFIqpUKZCdKr2M4tW13mq04UuOfhTayS8YmQ6kQcKKhA6ebQ/M96diw7acFIwpNrGOZibH6W788py/4u0ISAKKyLwMAdJ3eOsgjg1f3RvcpAT5JaPI4kHzsscdw4MABbNmyBVFR3YNuFyxYgH//+99ePRwREREREVGoMVtt2HtGqm67YHT/syFz7BWSJyO0QrJ0mAttZOE4R/LguVZYbSLSdBqMTPDPgpn4KDVm2cPPUK2SDETFmqNtm4GkR6JHzQcQuhWS1o462DrrAADq5IkBPk1o8jiQ/PDDD/H//t//w7x585xKoKdMmYITJ0549XBERERERESh5qC+FV0WG5Ki1ZiQquv3cblJUmXfqaZOiKLY7+PCUVGJHp8erQUAvPxlBYpKht7umhtmgWRRid6xFKnTbMW6Q9V+e+5L7W3bW8ob/Pac3mIoX4eOk8UAgNZ9L8NQvs4vz6vNPA9A6AaSNmMLbMZmANK2aH+JGnkxIChhaS6Hpe20357XWxwbtuPHQKHu/8956p/HgWRdXR3S09P73G4wGMJqgDAREREREdFQ7DzVDEBq1x7o30hyq7HBZEVDh8kfRwsKcuBmtNoASEt9bly7e8ihZDhVSMqvzdlWaft4u8k6rNfGU5eNTwEA/Le8PqRCckP5OtSuvwWwSb+PLC0nUbv+Fr+Eko5AsmY3RNHm8+cbiKF8Hc68NQsn/xCHM2/Ncuvrbzv0huPn596d77cgV6GNl2ZwAug8vcUvz+kthvJ1qPt8GQDA2lnvt9cs3HgcSM6ePRuffPKJ42P5f7B/+9vfMHfuXO+djIiIiIiIKATtqmoCAJw/QLs2AESplciM0wKQqiQjxeriUvSMaUUAggA8VVw2pOvJgeTJhtAPJHu/NsDwXhtPzctNhkohoKq5M6QC3savHu91iwhAQPOOZ3z+3JqUKRBU0RBNrTA3+efXyRU5lDXXH4JoNcJcf8gRyvYXVBrK16Hxy0cc1+j5Of4QlX0pAKDrTOjMkZRfZ6vhHABANLf59TULJypPP+HXv/41rr76ahw5cgQWiwW///3vceTIEXzzzTfYujV03kRERERERDQ8RSV6rC4uRVmdAXlpOqxamI+lLrZJR5pd8kKb7MRBH5ubHIPqNiNONXVi1qjBHx8OyuoM6F17J4pAaV37kK4XThWSpV5+bTyl06pwwehEfH2yCZvLGzA2JbhbUUWLEc27fg1Lc7mre2FuKvX5GQSFCpr0mTCe+xrG6l3QBGieYNOOp+0/E53+W//FvbAZGwEIAERH6KibeDs6TnzU6yrdQa5u/BKfnzkq+1K07P4NOk9vgSiKIdF12zf8Bvz5moUTjysk582bh/3798NisaCgoADFxcVIT0/H9u3bMWvWLF+ckYiIiIiIAqioRI/pa7Yg5tFPMH3NFhSV6B2tpSX6NnRZbCjRt/m1tTRYNXeaccy+rGWgDduyHPscyZNhEKa5Ky+tb8glCEPfti0HkqdbumCxBrZldjhq2ox9qiOB4b02Q+GYI3kicIttBqrok28//cYknH5zIpp3PdvPVQSok/L9ct7uxTa7/fJ8rlj6qc6Uwkigd1BpOPZPiOY2F5/hnyAXAKJGXAgo1LC2VcHSWumX5/SE0/tt7VSc+/f8gIbf4cbjCkkAGDduHP761796+yxERERERBRk5OBRqq0BDtqDR41Sik56/hNXbi2N5CrJb+3VkWNTYpAWqx308aMTuxfbRIpVC/MdS1sA6X0jisCqK/KGdL3tJxshALDaRBSu2Yqnr54Ycu/ByoYOXPnXHeiySIGq/PttuK/NUFw2LhXPbDzumCPp76o1xzzIXhV98TPuR+u+lx23W1qkpboKTQJipy5H696X0OOVAyAicc4TfjmzNnM2AMBYvcsvz+eKKikP5vqSXrfKr4cLggLKmAxYDdW9HuO/IFeh1kGbeT6M575G1+ktUCeM9cvzuqP3+9DSVAZLv4/232sWTjyukNy7dy9KSrrf5P/5z39w/fXX4//+7/9gMkXOIGYiIiIiokggz7Tr/U9ak7XvP3L92VoarHba50deMMj8SJm8IfpUU+RUSM4fm+L4uValQGFmPD5YNhtLhhAiFpXocdM/9jjen6W17SFTqStXHkf9fD3yn/8vyusNyE2Kxh+un4rCrHhEDfO1Gaq5uUlQKQToW42IfvRTR1W0v0itxz3/1JH+K4WRQO8/jZRxI5FyyXNIX/xvaFILICi10KQWIH3xu9CNv94vZ5YrJE31B2GzdPnlOXtLnLWy1y3Sa6iMG23/ufN9mpSpSLnsd+gOcLs/x19BLgAodRkAgPpNP3Z7EY8/9H0fShQx8u/FwL1m4cLjQPKHP/whysqkUuCKigrccsstiImJwXvvvYdHHnlkkM8mIiIiIqJQ4mren8zV8g1/tpYGo2+rmgG4164NdLdsR1KF5FeVUgvppPRYdD63CPtWzh9y4ObtBTn+0nPkgckqwmKTfpf93+UTsGLeGOxbOR8dw3xthuqzY7WO85is/h/HILUeu7/h29IsVUrqxi/ByDt2I/e+Noy8Y7ffwkgAUMWNhiImHbBZYKo74Lfn7UkZly39RKF2CmVT5v8G/YWOuvFLAhrkGsrXoeN4kfSBaPP7Up3+2CydMDccgav3oWhsDOhrFk48btkuKyvD9OnTAQDvvfce5s+fj7fffhtff/01br31Vvzud7/z8hGJiIiIiChQ8tJ0OKh3njMmCFKr8ammTuc6Jj+3lgYbURQdFZLuLLQBgNwkuUIycgLJLysbAADzxiYP+1reXpDjL64qjwUBeOXrk/jfOTmBOhYA6Ww9+XscQ7+tx0oNYDUhUO3FAxEEAdqM2eis/BTG6l2IyrrA72cw1e4DAMTkXoWMaz9wui998b/RvOMZmJtKoU7Kt4eR1wOQgtxALWNxXQ0b2AUx5qbjqP3kNkC0urhXer8F8jULJx4HkqIowmaT5lps3LgRixcvBgBkZ2ejvj5wQ2+JiIiIiMj7HrxkLL7/7+6KH3mm3UvXToEIKbyQA8v/t6TA79VcweRUUydq201QKwXMGJng1ufIFZLNnWa0dJqREK325RGDwlcVUoXkxWNSBnnk4PLSdCjRt/UJ9oK9UjeYg9SyOkOf2/x5tsQLHkfdJ7f2uEUKrOKn/wSte9YAAZoTORht5vn2QPLbgDy/qU4KJDXpM/rcF6wBmutqWP8uiDGUr0PTjqdhaSqDIiYD1s5awNIFQRMP0dSKYH2/hQOPW7Znz56Np59+Gv/4xz+wdetWLFq0CABQWVmJjIwMrx+QiIiIiIgCR6tSAgCiVIo+M+2WFmRh/8pLcZ69GjBVpwngSQNPro6clhWPKLXSrc/RaVVIiZFCyEiokjQYLdh7tgUAcPGY4VdIrlqY79SMCoRGpa63N417U16aLqDjGNRy6zEUQM/W44ufDepWWW3meQAAY01gNm0ba/dL53ARSAYrVVIeXM239FfVq7y4xlx/CKLVCGtbFWDpgippIkbddSCo32/hwOMKyd/97ne4/fbb8eGHH+Lxxx/H+PHjAQDvv/8+LrzwQq8fkIiIiIiIAqe4tBYA8JN5Y/DC4skuHzNjZAK+Pd2MvWdbcPP0Ef48XlDZ6Zgf6d5CG1lucgwaOlpwsqkDhSPifXCy4LGjqgkWm4hRCVEYba8OHY6lBVl4f9lsp0rdX189MegrdR+4eCyWv9u38jgYgtQ+W9AxvLP1rEBTJeUhyT67sP/HfwgA0E1YivRFbzvdF6yVfgBgNdQAACzN5Tjz92lIuvBJv53VZu6AufEoAECTPt0vz+kNSXOecNpkLfFfFWJ/i2sEpRqq2JFQBfH7LRx4XCFZWFiIkpIStLS04Je//KXj9t/85jdYu3atVw9HRERERESBI4oiNpTWAQCuzE/r93GzRkntyXvPNPvjWEHrW3nDdk6iR58XSYttvpTbtcemQBB6V0YNjVyp+93JUseeu9WpgaSwf+2uKo8DTQ55YzXS6zgyIWrIZ+tdgTbY0hJRFNFx4kMAQMz464b8NfiboXwd6ou/7/jY3HjMr8tZTPWHANEGRUw6lLrQ+aaQvFRHlTBOukGh8msVYn8LlKTbydc8DiRPnz6NM2fOOD7etWsXHnzwQfz973+HWh3+806IiIiIiCLFQX0rqtuMiFErMW+A9tqZciB5tgWi6P523HBittqw54zUinx+tmcVkjmOxTYdXj9XsJE3bA/0fhqq8+ybzb893ez1a3vbJ0elarqfXjouYNu0B7K0IAvfv2A0AOCGwqwhn22gpSWumBuPwtx0HFBqEJN79ZCeMxC6v07ZwF+nt8kLbbRpM7wW9PuLbvwSjLx9FwABsFkQNeKiYV3PUL4OZ96ahZN/iMOZt2YNGAoHumU80nkcSH7ve9/D5s2bAQDV1dW44oorsGvXLjz++ONYvXq11w9IRERERESBIVdHXjY+xTFL0pWpmXFQKwU0dphRFQFVfq6U6FvRZbEhMVqNCal95wMOxFEh2Rjer53ZasOOU1IVqTfmR/Z2gb1VXp7lGaxMFhuKy6TfW4smBe8ehoJMaXzA4eq2IV/D06UlHSf+AwCIzv4OFNrQGV8Q6OUsprr9AEKrXbsnhSYWqkSpStJUf3DI1/G0IjdpzhPovbWdi2v8x+NA8tChQzj//PMBAO+++y6mTp2Kb775Bv/85z/x5ptvevt8REREREQUIMX2QHJhfvqAj9OqlJiaGQcA2GNfWBJpHPMjsxOhUHhWoRQpFZJ7z7Sgw2xFUrQakzPivH59eblSRUMH6tqNXr++t3xV2YjWLgvSdBrHmYNRQZb0a1QyjEDS0wo0Q7kUSIba4pBAV9oZ5QrJEA0kAUCTWgAAMNUNPZD0tCI3OvcqQKmVPlBouLjGzzwOJM1mM7Ra6Rds48aNuPbaawEAEydOhF6v9+7piIiIiIgoINqNFnxZ2QBg4PmRshkjEwFIoVMk+tax0CbR48/NTZYqJE+GeXXplz3atT0Nbd2RGK3GRPsm6F32X49gJLdrXzMp3Sevg7fIoXFNm3HIAW93BZpzO3PCBY/3eayltQqm2r2AoEDM2MVDer5A6e/r9EelnWg1wdRwCACgCaEN271p0goBDK9C0uxhpWrnyc8BqxGquBzk3teGkXfsZhjpRx4HklOmTMGf//xnfPnll/jiiy9w1VVXAQDOnTuHlJQUrx+QiIiIiIj8b8uJBpitIsYkx7jVgjxzpDRHcl/EVkjaF9p4uGEb6K6QrDeYYDBavHquYPKVPeD2xfxI2fn2isNdQTxHUg4kg7ldGwBitSqMTZHem4eGWCUpLy3RpBZIlWiCFEGIFkOfxxpOfAQA0I64EMqYgauyg43T12kPJRNm/dQv4Zap4QhgNUGhSYAqfozPn89XNKn2QHKIFZKi1QxBrnZ0MkBFbtkHAICYCUtDbvZmOPA4kHz++efxl7/8BZdeeiluu+02TJs2DQDw0UcfOVq5iYiIiIgotH1+rBYAsDA/za1/qMmbtvecaY64xTYtnWYcq2sHMLQKycRoNRKiVACAqubwrJK02UTHQpuLx/qukOV8eyC8K0jnSB6va0dZnQEqhYAr8gavPA60AvsohhJ965CvoRu/BCPv2I0x97Uh6cKnAABN3zwJm6XL6XEd5R9Kjx8XOtu1e5K/ztgp/yPdoFT55XlNdQcASNWRoRyqOSokG49BtJo8+lzRZkHd53dBNLl6n7quVLVZOtFR+QkAQDfhBo/PS8PncSB56aWXor6+HvX19Xj99dcdt99zzz3485//7NXDERERERFRYMhLN9xp1waAwhHxUCoE1LabcK61a/BPCCPfnm6GKAJjkmOQFuuqQmdwcpXkycbwnCN5tLYdjR1mRKsVjmpaX7ggJxGA1LIdjMH4J0eloP+SsSlIiFYH+DSDm2JfbDOcOZI9xc/4CZSxo2Btq0LbgT85brd21KHr3FcAgJgQDSRl2oxZAABT9Z5hXcfdbdHyhu1QXWgjU8WNhkKTANjMMDUedfvzRJsVdRvuhuH4B4BSg4TzHoU6darj/tiCe1xWqnae3ADRbIAybjS0med540sgD3kcSAKAUqlEUpJzK0Jubi7S00OrrJqIiIiIiPo6UW9Aeb1UxfWd8alufU60WolJ9vl9kTRHsqhEjzv/tRcA0NhhQlHJ0ObqOzZth+kcyS8rpHbtOaOToFEN6Z+hbinMikeUSoGmTjOO1/dtCw60T3vMjwwF8mKb4Wza7kmhikbS3F8CAJp3PQdrl1TJ2lH5CSDaoEmbDnVCrleeK1C0GbMBAMbaPUMOxT3ZFh0OC20AQBAEqNPcW2wjh7WVf4hD1V+yYCj9N6BQI2PRO0i+aDVG3bEXyfPXAAC6Tm5wWXFpOC61a+sm3BDSlaWhbEj/J3j//fdx8803Y86cOZg5c6bTDyIiIiIiCm0b7Nu1L8xNQnyU+1Vc3W3bkRFIFpXocePa3ahpk/6x29JlwY1rdw8plMxJtldIhmkgKbdrz/NhuzYAqJUKzLS/D3cGWdt2W5cFW+3B7OLJwT0/UlZgr5A8VN0Km23gcK2oRI/pa7Yg5tFPMH3Nln5/H8ROugPqlCmwGZvQ8u3zAACDvV07ZnxoV0cCgCZlCqDUwNbVCEvrySFdw91t0aLN6tSyHeq08hzJ+pJ+H9MzrIXVCJuxGQAQP+N+p2VIcQX/C2VMBixtp9B+9J9O17BZOtFRwXbtQPM4kHz55Zdx9913IyMjA/v27cP555+PlJQUVFRU4Oqrr/bFGYmIiIiIyI+Ky+T5kZ5Vcc2IsMU2q4tL0buuRhCAp4rLPL5WTqJUIVnVFJ4t2/LG9ot9uNBGdp682CbINm1/cbwOZquI8ak65KXFBvo4bpmQpoNGqUC70Tpg9a4czpfo29BlsaFE39ZvOC8olEieJwVrrftfganhCDqrNgII3fmRPQkqrX25DWCs2T3gY3u3ZbcdeQut+/8ohW1ubIs2N5dBtHRAUMVAnZjnxa8iMBxzJAeokOwb1gKAgK5TXzg9TqGKRsLslQCkalzRanbc13myGKK5ne3aAeZxIPnHP/4Rr776Kv7whz9Ao9HgkUcewRdffIH7778fLS2R8RcPIiIiIqJwZbLY8N/yegDAVW7Oj5TJlWl7IySQLKsz9I0MRKDUvuDGE7nJ4duyXdXUgdPNXVAqBMzJ8XwLuacucCy2afb5c3li/RF5u3ZotGsDUsXpRPsohkPV/S+2kcN5p3q+AcL56NyrETXyEohWI87+8zzAagIUGpiajnv3CwgQuW3bVNP/HMm+bdklqC/+Phq2PIi+YSTgalu0qXY/ACnIExRK7xw+gBybtusP9tvubmkqgzthLQDEFfwAiug0WFor0X7sX47bu9u1uV07kDwOJKuqqnDhhRcCAKKjo9HWJs2SuPPOO/Gvf/1roE8lIiIiIqIg983JRrQbrUjTaTB9hGfLR6aPSIAgAGdbulDTZvTRCYNHXprOZYVkfrrn1W+OpTZhWCH5pb1de+bIBMRqfb95WA4k959rQZfZ6vPnc4fNJuIz++b6RZNCo11bJs+RHGixjafhvCAIiM69UvrAZq9cs5lQ94nrOYmhRl5sYxwgkHRd6QdAqUXslLvtH/T8E6bvtmijHEiGQbs2AKhTpwCCArbOelgNrlv+VUl5QN8/efuEtQCgUOuQMOthAEDzrmch2iywWbq4XTtIeBxIZmZmorFR+h/K6NGjsWPHDgBAZWVlUG4xIyIiIiIi922wb9demJ8GhcKzypFYrQr5afJim2ZvHy3orFqY79w0KEghzKorPG+dlJfa6FuNMFqCI0Tzli8r7PMj/dCuDUjVpmk6DcxWEfvP9V/V5097zrSgps2IWK0Sl/h4jqa3TZXnSOr7fy3z0nR9bhssnG8vfcfFrX3nJIYiRyBZuxeiaHP5GNeVfpK0K/6C9MX/llq/FVKIL6h0iBp1idPjTI6FNuERSCpU0VAnTgDQf9t20pwn0Ltd21VYK4sv/CEU0amwtJxA+7F/ofNUMURTG5Rx2dBmnu/dL4A84nEg+Z3vfAcfffQRAODuu+/GQw89hCuuuAK33HILlixZ4vUDEhERERGR/xSXSlVcV3o4P1I2c2TktG0vLcjC5ROkLeRKhYDCzHh8sGw2lhRkeXytVJ0GMWqp5bIqzNq2v5LnR471TyApCALOH50IANgVJIttPrFv116Yl+bTLeO+MDVTqpA8NECF5P9dPsHpY3fCeSmQ6811622oUSdPgqCKhmhqg7mfNvT+Kv009ko/3fglGHnHbuT+pA3q1KkQLQY073rO8UhRFGGq2w8A0KRN9/4XESCOOZL1rgPJmHHXQaGxV+8r1NCkFiB98bvQjb/e5eMVmlgkzHwQgFQlaSh9FwCgG8927UDz+E/CV199FY8//jgAYMWKFXj99dcxadIkrF69Gn/605+8fkAiIiIiIvK9ohI9pvxmM/adlaqgzFbXVT2DkedIRspimw6TVM341vdmYN/K+UMKIwEpRJOrJMNpjmSDwYQjNVLbrr8qJAHg/CCbIykHkqHWrg10t2wfq22HyeL6z4X0WC0AKZjXqhRuhfOetN6GGkGhcoSEpn4W27hb6SctAZKCyNYDf4S5pQIAYGk9KW2YVqihSZns3S8ggBxzJPupkDTV7IXN1AJBE4fcFU0YecfufsNIWfy0eyGoY2FpLoehTAokFdGpXj03ec7jQFKhUECl6p77ceutt+Lll1/GfffdB41G49XDERERERGR78kbco/VdM97W/7uAZcbcgcjV0juORP+gaQoio6qMbmtdThyk6U5kuESSBaV6DH7d9sAAFqlAtvsrdv+cIG9QnJngCski0r0mPLCZsfvh1Acc5adGI34KBUsNrHfmZDyfMzbpo9A53OL3ArnuwM5OZQcuPU21MiLbYw1e13erxu/BKrkidIHCtWAlX4xuQsRNXoBYDWh6etfAOhu19akToWgDJ8sZrAKSXn+Y3TOFW5/3Z1VGyGand+7zd/8IizmlYayIdWKNzU14cUXX8Ty5cuxfPlyrFmzxjFXkoiIiIiIQkvvDbnAwBtyBzLDHkieaupEg8HknQMGqdPNnWgzWqBWCpiQ2neGnqdG2yskw2GxjRxyy+Gq0WrDjWt3DynkHgq5QvJEQwfqDd5ZsFRUosf0NVsQ8+gnmL5my6BfiyPor+0OQv73vYN+ew28RRCEQdu2P7ePerjagwpQ3fgljjmJglI7aOttqNFmzAQAGGtdL7axdtY72tZH/c/RQSv9ki9+FoAAQ9l76NLvglEOJMNkfqRMDiTNTWWwWfp+c6aj8lMAQMyYa9y+ZvcCoZ7CY15pKPM4kNy2bRvGjBmDl19+GU1NTWhqasLLL7+MMWPGYNu2bb44IxERERER+ZCnG3IHkhCtxnh7OBfubdtyOJOfFuuVuYByy3Y4zJCUQ+6ehhpyD0VitBr59kUr3mjblsPFEn0buiw2lOjbBg1YvRn0B5pcAVziYrHNmeZOlOjboBCkGZmecMxJvK/NrdbbUKKxV0iaavdBtFn63N9R+Skg2qBJLYQ6PmfQ62nTpiF28p0AgMYvfw6TfcO2Ni28AkmlbgQUUSmAaIO54YjTfZb2s/bKUAExuVe5fU3XC4TCY15pKPP4/5orVqzAzTffjMrKShQVFaGoqAgVFRW49dZbsWLFCl+ckYiIiIiIfCgvTecyPBpoQ+5AIqVtu7tdO84r18tNklq2TzaGfoWkN0PuofLmHMne4aKIwcPFYHgNvEWeI3lI37dCUq6OPH90ElJ04dM6PFzqpAkQNHEQLZ0wNx7tc39HxXoAQMy477p9zaS5T0JQRcN47mt0ntoAAGjZ+7uwaj0WBKG7bbvXHMmOys8BANrM86GMcX/xWjjPKw1lHgeS5eXlWLlyJZRKpeM2pVKJhx9+GOXl5V49HBERERGRN3nachkpVi3M71PFNdiG3IHIbdvhXiF52B5ITvFSIBlOS23y0vq2sA8n5B4Kb27aHkq4GAyvgbd0t2z3rZD83D4/8qp89wOiSCAICmjT7W3bNc5t2zZLFzpPfQEAiBnrfiCpihuF6F6VgZaWCtSuvyWsQknHYptecyQ77fMjY8a6364NhP+80lDlcSA5c+ZMHD3aN90/evQopk2b5pVDERERERF521BaLiPF0oIs3DtXahlUCHBrQ+5AZtk3be8N80BSDme8sdAG6F5qc7a1C5YhbjkPFosnO88SHG7IPRQXyBWSp5uHvUxmRHxUn9sGCxd/scD5aw3Ea+AtBVnSe/xkUyfaurrbj81WGzYerwcAXD2RgWRv2oxZAPoGkl2nN0M0G6CMHenxDEhzU++qXCloC6d5iJq0AgDOFZI2Syc6q/4LAIj2YH4kEP7zSkOVavCHOLv//vvxwAMPoLy8HHPmzAEA7NixA6+88gqee+45HDzY/YYpLCz03kmJiIiIiIbBZcslpJbLpUMM3sKJUinVKjxw8VisuXbKsK4lV0iW1xvQ0mlGQrR62OcLNlabiCP2reTeatnOiNVCo1TAZLXhTEuXI6AMNaIoYmOZFFKl6TRoM1qQnxaLVQvzhhxyD0VhVjy0KgUaO8worzdgQtrQKhM3lNbidHPfqtXBwsV4+/teIQBqpQITA/AaeEtyjAYj4qNwrrULh2vaMCdHCnu/OdmI1i4L0nQaxzciqJumn0Cy48THAICYsYshCL1biQdmaXbVmRpe8xAdFZJ1ByGKIgRBQNfprRAtHVDGjnLc7wnd+CXQjV/i7aPSMHgcSN52220AgEceecTlfYIgON4wVqt1+CckIiIiIvICly2XAA7XtMFmE6FQePaPwnBz8JxUzThtxPCr/VJ0GuQkReNUUyf2nW3BpeNTh33NYHOiwQCjxYYYtRJjvBQcKhQCRidFo7zegFNNHUEVSBaV6LG6uBRldQbkpemwamF+v0H+58dqset0M6LVChz86aXIiNP6+bQSjUqBnKRolNUZMPU3WzApI3bAc7vy8eFq3PT3PTDbRMwelQCjxYZjte0w20ToNEosmND/Epc/fXMSAPDji8bg5eunDvfLCbipmXE419qFEn2rI5D87FgdAODK/LSI/zPUFa282Kb+IESrCYJSA1G0ocPReux+u7ZMlZQHc/0h9FqXFFbzEDXJkwCFCjZTCyxtVVDH5zht1/Y0xKXg5HEgWVlZ6YtzEBERERH5VF6aDgddLGSw2ERc+qdvcNO0LLy2s8qtwCXciKKIA+ek9uPpI7xT5ZQZp8Wppk4sfHUHJg8hCAp2h3rMj/RmEBOjlipVF/5lx5ACNF+Qxx3IFcbyuIP3l83uczZRFPEr+6KXey/MDVgYCUjnLqszAADMNnHAc/f+vNXFpThaIwWPAHBDQRb+eftMaFQKWG0ipvxmM8rqDPjLjlP46aXj+lzjdHMnPjpcDQCOcQihbmpWHIrL6lBS3f3n6GfHagAAV7Fd2yVVfC4UUcmwdTXCVH8I2oyZMNXsgdWgh6CORfSo+R5fM2nOE6hdfwvg+B0ZfvMQBZUW6uSJMNcfgqnuIFRxo7sDSQ/nR1Lw8niGZE5Ojts/iIiIiIiCxf9dPsHpY7nAIkqlwFeVjXjgw8M4GKHzJU81daKlywK1UsBELyzcKCrRY6d9s7GlRxAUTq+nvG3YWwttAOl1k0NzcxC9bp5smN5QWueojvzZpeP9ecw+5HPL3NmM3XPWrBxGAsDN07OgUUn/fFYqBPz8Mulre2nrCXSZ+3YGvrrjFGwicNm4FEzK8N57JJAK7LNSD+ulb16cae5Eib4NggAszO+/UjSSCYIAbbpz27ahQmrXjs5dCEHleWAfKfMQey62MTcchrWtCoIqGlHZlwX4ZOQtHgeSvvLcc89BEAQ8+OCDjtu6urqwYsUKpKSkIDY2FjfccANqamqcPq+qqgqLFi1CTEwM0tPT8bOf/QwWiwVERERERD0lx2gAACqFAK1K4VjccvSRyxCnUTo91p3gIpzI1ZGTM+IcoctwDCUICjWHHQttvBc2rS52ngEXLK+buxumpepI6WsIdHUkMLTN2L3DV0D6Nfj1Rue5fbfPHIVRCVGobjPizW9PO91nstjwt51VAIAfXZg79C8gyEzNkt7rJdVtEEURn5dK27XPz05Eqi6wv9bBTJMpB5K7AXTPj9QNoV1bphu/BCPv2I3c+9ow8o7dYRdGAoA2rXuOpFwdGZV9GRSq6EAei7woKALJb7/9Fn/5y1/6LMF56KGH8PHHH+O9997D1q1bce7cOSxdutRxv9VqxaJFi2AymfDNN99g7dq1ePPNN7Fq1Sp/fwlEREREFOT+Y2+fvGt2NjqfW4R9K+djSUEWcpJjYLL13cA7WHARTvbb50dO98L8SGBoQVCokVu2vRlIyu3FPQXD65aXpoOrpvS0WI3TxxtK67CzKjiqIwHX5x5sM7a7712NSuFo1X5hc7nTVvR1h/SoaTMiM06L66dmDudLCCqTM+KgEIB6gwk1bUZ8fkwKJNmuPTC5QtJUswfmlgqYGw4DghLRY64O8MmCW3eFZInT/EgKHwEPJNvb23H77bfjr3/9K5KSkhy3t7S04LXXXsNLL72E73znO5g1axbeeOMNfPPNN9ixYwcAoLi4GEeOHMFbb72F6dOn4+qrr8ZTTz2FV155BSaTKVBfEhEREREFGVEUHfPcrpuS0ef+/CEEF+HkoL1CstBLgeRQgqBQYrRYUVYvhYdTM73zmgHB+7qtWpjfJ6QDgNPNXXjgw0MwW21BVx0JuD73YJux89J0fW7r79fgfy8YjVSdBiebOvHO/nOO2+VlNj+YkwO1MuD/5PaaaLUS41Ol12ff2RZsPC5tUr+ageSAtJn2xTYNh2EofQ8AEDVyHpRRyYE8VtDT2CskLc0nYNRLGVAMQ9ywEvA/HVesWIFFixZhwYIFTrfv2bMHZrPZ6faJEydi9OjR2L59OwBg+/btKCgoQEZG918qr7zySrS2tuLw4cP9PqfRaERra6vTDyIiIiIKXwfOteJ0cxei1QosyOs766x3cCFg8OAinBywz4SbluWdhTbh/noeq22H1SYiKVqNrHjvBW/B+rotLcjCPXNGAwAUAlCYFYebp0lLYf7wVSVmvbQVuc9sxM6qZgiQKumCwdKCLLy/bLZjC7paIeD9u2ZhyQALbR6e77ygRhD6/zWI0ajw4CVjAQDP/fc4bDYRh/St2FbRCKVCwA8uGO3FryY4yBXBf91ZhdYuC1J1GswelRjYQwU5pW4ElDGZgGhFy77fAwBixi4O8KmCnzImXXrdIAKiDZrUQqjisgN9LPKiIQWSzc3N+Nvf/obHHnsMjY2NAIC9e/fi7NmzHl3nnXfewd69e/Hss8/2ua+6uhoajQaJiYlOt2dkZKC6utrxmJ5hpHy/fF9/nn32WSQkJDh+ZGfzTU1EREQUzuR27YV5aYhWK/vcLwcXaTqpBTUpRo0Pls0eMLgIF61dZlQ0dAAApnmpQlJ+PbPsVXLxUaqwej17tmsLgqtm5qGRX7eUGDUAIDmI3ocqhfRPx4cuGYf9Ky/FO3fOxgfLZiNKpcChmnacbu4CIM1e/N93DwR8EY9saUEWSn46H1qVAmabOOiCmRj7nw9alQJRPWbN9vdr8OMLcxEfpcKRmnZ8dKQaf9p+CoBUiT0qMfxm3ckVwfKfqVfmp3l1y3w4EgQBWvscSVunVFXKQNI9Sl133mMx6GEoXxfA05C3eRxIHjx4EHl5eXj++efx4osvorm5GQBQVFSExx57zO3rnD59Gg888AD++c9/IioqytNjDMtjjz2GlpYWx4/Tp08P/klEREREFLLkdu1rp/Q/z21pQRb+dvM0AECqThMUIZA/HLRXR45KiEKKTjPIo923tCALb98xE4AUSIbT6ykHkt7csC2T3ofTAQApQfQ+PGRf4lOQ1f01LynIwuikvqFbMCzi6SlGo8IlY6X22OKyugEf+3mpdP+9F+aio8es2f4kRqvxY/vimu+9tdfRru3NVv5gIv/6i/ZSXs6PdJMqpvvnSi1M9QcDd5YQYShfB1PdAcfHts561K6/haFkGPE4kHz44YfxP//zPzh+/LhTkHjNNddg27Ztbl9nz549qK2txcyZM6FSqaBSqbB161a8/PLLUKlUyMjIgMlkcgSespqaGmRmSn+RzMzM7LN1W/5YfowrWq0W8fHxTj+IiIiIKDydbu7EvrOtEARg8eS+8yN7unhsCgRBWmyhb+3y0wkDS96w7a3qyJ5mjUqEQpBmDVaH0et5WC9XSPrm3xGXjkuBwv4+rGrq8MlzeEIURZTYv+aCLOevuaqp08XjA7+Ip7cr8qTgrLi0/0BSFEUU2zdHX5nfd7RDfybY5yp2WboX26z+oixoqkS96Vyr0eljc49lPuSaoXwdOsre677BamSw5oamHU8DTlN1RQACmnc8E6ATkbd5HEh+++23+OEPf9jn9pEjRw7YJt3b5ZdfjpKSEuzfv9/xY/bs2bj99tsdP1er1di0aZPjc0pLS1FVVYW5c+cCAObOnYuSkhLU1tY6HvPFF18gPj4ekydP9vRLIyIiIqIwJFdHXpiThLTYgef9JUarMc0euGyraPD52YJBdyDpnfmRPcVqVZiULlVUfXu62evXDxS5WtCbG7Z7SohW4/zR0sLPTfbFIYGkbzWiqdMMhQBM6rXcJVgX8fQmB4xbTtTDaLG6fMzRmnacaelClEqBS8amuH3t339Z0ee2YKsS9YaiEj0e+PCQ023f/3fwtOcHq77BGsBgbXCWpjKg71oqmJtKA3Ec8gGPA0mtVutyCUxZWRnS0tz/LlJcXBymTp3q9EOn0yElJQVTp05FQkICli9fjocffhibN2/Gnj17cPfdd2Pu3LmYM2cOAGDhwoWYPHky7rzzThw4cAAbNmzAE088gRUrVkCrDfxWNyIiIiIKPHfatXu6ZJwURGw9EWmBpG+q/c4bnQgA2BUmgWRblwUn7VWBvmjZli2YkAogOALJEnsAOyFVh6heM1jlRTzyKM2BlsAE0tTMOGTGadFptuGrykaXj/ncXh05f1yKy1mz/SmrM/S5LRirRIdrdXGpy/A53IJXb2OwNjSqpDy4CnLVSfmBOA75gMeB5LXXXovVq1fDbDYDkAa0VlVV4ec//zluuOEGrx7ut7/9LRYvXowbbrgBl1xyCTIzM1FUVOS4X6lUYv369VAqlZg7dy7uuOMO3HXXXVi9erVXz0FEREREoaml04wt9mDxuqnuBZLz7ZVRkVAhabWJjmo/XwWS52cnAgC+rWr2yfX97UiN1LqcFa/16szN3hZMkIo9Nh6vg83WO8zwr/7atYHuRTyFmfFuLYEJFEEQsDBPek37a9uWb1/oQbs2EDpVosNVVmfoG6uFYfDqbQzWhiZpzhOQ27QlAgARiXOeCNyhyKtUnn7CmjVrcOONNyI9PR2dnZ2YP38+qqurMXfuXDzzzPBKjrds2eL0cVRUFF555RW88sor/X5OTk4OPv3002E9LxERERGFp89La2G2ipiYHou8NPfCgYvtyy+O1LSjrt04aJt3KDte345Osw06jRLjUnQ+eY7ze1RIiqLo1a3UgdBzw7YvzclJQoxaidp2Ew5Vt6HQR4GxOw7p5RZ112dYWpCFpUEWQLqyMD8Nf99zBsVldXi+130dJgu22r8JcVW+Z4taVi3Mx41rdzuqQ4O1SnS48tJ0KNG3OYWS4Ri8elvSnCdQu/4WyIEagzX36MYvQfrif6N5xzMwN5VCnZSPxDlPQDf++kAfjbzE4wrJhIQEfPHFF/j444/x8ssv4yc/+Qk+/fRTbN26FTqdb/4SQ0REREQ0FB8dlhYefneQZTY9peq0jrAp3Ksk95+VNyfHQ6nwTVBYkBUPrUqB5k4zyuv7traGGrmidIqPtyhrVArMt48P2Hh84M3QviaHsD03bIciuer0wLnWPkuWtlU0wmixITsxChM9DNhCpUp0uEKlPT/YyMGaJrUAglILTWoB0he/y2DNDbrxSzDyjt3Iva8NI+/YzdcszHhcISmbN28e5s2b582zEBERERF5jdlqw6dHpUDS3XZt2SVjU3Coug1bKxpxQ+EIXxwvKBywV74VumjF9Ra1UoEZIxOw41QTvj3djAluVqoGq8N+qpAEgMsnpOKzY7XYdLweD88f5/Pnc8VqEx1t6q5atkNJepwWM0cmYO/ZFnxxvA53zsp23LfBPj9yYX76kKp4Q6VKdDjk4PWp4jKU1rUjPy0WqxbmhV3w6gu68UugG78k0McgCipDCiQ3bdqETZs2oba2Fjabzem+119/3SsHIyIiIiIajm0VDWjpsiA9VoML7BuL3TV/XAr++M1JbAvzxTYH7Qttpvu4Hfi87ETsONWEXaeb8b2Zo3z6XL7mr5ZtoLuib+uJBpgsNmhUHje4DVt5vQFdFhui1QqMSY7x+/N72xX5aVIgWdo7kJSqUK/ycH5kpImE4JWI/MPj/6P96le/wsKFC7Fp0ybU19ejqanJ6QcRERERUaAVlehx6z/2AADMVhH/sW/adtcl9sU2JdWtaOwwef18wWL/uRYAvltoI5PnSIb6Ypt6gxHVbUYAwOQM3weSBVlxSI/VoMNsxfZTrjdD+1qJvYp2Skacz9r6/elKebFNWfeyoKqmDhyrbYdSIeDyCQwkiYj8weMKyT//+c948803ceedd/riPEREREREw1JUoseNa3c7Pm7uNOPGtbvx/rLZblf2ZMRpMTE9Fsdq2/FlRaPHLd+hoK7dCH2rEYLg+1ZcedP23rMtMFttUCv9X+nnDXK79pjkGMRqhzz9ym2CIGDBhDS8ve8sNh6vx/xxqT5/zt4cFaEh3q4tuzA3GTqNtCzooL4V00cmOKojLxidiMRodYBPSEQUGTz+m4DJZMKFF17oi7MQEREREQ3b6uJS9KzjkpcwPFVc5tF15CrJrWG62OaAvV17fIrO5+Ha+FQdEqPVMFpsjoq7UOTPdm3Z5ROkEHLT8Xq/PWdP8hKfUF9oI9OoFLjMHuzKQaQ8P/JKD7drExHR0HkcSP7v//4v3n77bV+chYiIiIho2MrqDBB73SaKQGldu0fXkTcch+scyf32QNLX7dqAVOl3XnYCAGBXCLdty4HklAAEkruqmtDSafbb88pK9HIIGx4VkoA0RxIAviirg9lqw0Z72Hsl50cSEfmNx98K7erqwquvvoqNGzeisLAQarVzSftLL73ktcMREREREXkqL02Hg/YQRSYIQH66Z9ud59srJPefa0FLpxkJYdbKedA+P7LQD4EkAJyXnYQvyurx7Zlm/Mgvz+h9/tywLRudFIO8NB3K6gzYcqLBr+MDOkwWlDcYAAAFfvyafU0OHr+qbMR/y+vR2mVBcowas0YlBvZgREQRxOMKyYMHD2L69OlQKBQ4dOgQ9u3b5/ixf/9+HxyRiIiIiMh9v7giz+ljQZAqJFf1un0wIxKiMD5VB5soBRfh5oBe3rCd4JfnC/XFNqIo9mjZ9m+1oLxte+PxOr8+79HadogikKrTICNO69fn9qUJqTrkJEXDZLXhic+OAQAW5qWFxdIeIqJQ4XGF5ObNm31xDiIiIiLyQFGJHquLS1FWZ0Bemg6rFua7vbAl3M3uUeWkVSkwMS0WqxbmYckQXp9LxqagvN6ArRUNWDQ5w4unDCyjxYqjNVILuz9atgHgPPtim8M1bWjrsiAuyvdLYbylqESPX3x2DM32lumjtW1+qywFgAV5qfjjNyexscy/gaTcrl2QGQdBCJ+wThAELMxPw193VGHPGalSeCHnRxIR+VVorrcjIiIiimDyFukSfRu6LDaU6Ntw49rdKCrRB/poQWH7qSYAwOxRCeh8bhH2rZw/pDASAOaPSwYQfnMkj9S0w2ITkRStxqiEKL88Z1Z8FLIToyCKwN6zzX55TleKSvSYvmYLYh79BNPXbBn09438++1YbfcM0tve2uvX32+XjkuFQgBK6ww43dzpt+eVFxBNCZMN2z0l9FrkZLHaAnQSIqLI5Na3JZcuXYo333wT8fHxWLp06YCPLSoq8srBiIiIiMg1eYu0vLil5xZpVkkCO6qkQPKCnKRhX0ueI7nnbEvIVfUNRN6wPX1EvF8r387LTsTp5mrsqmrGfPumY3+Sw0X5948c5r+/bHa/v3d6/34D/P/7LTFajXEpMThe34Fxv96EyRmxw66KdqfK2rFhO4zmRwLS1/7i1gqn2+55/yCSdRr+GUpE5CduVUgmJCQ4/qKSkJAw4A8iIiIi8i1vbZEOVztOSoHkXC8EkqOTYpCbFA2rTcQ3p8JnjuR+Py+0kZ2XLf2afHu62a/PKxsozO9PMPx+KyrR43h9BwDAYhOHXRXtbpW1PDOzIMwqJOX3QU+DvQ+IiMi73PoW7xtvvOHy50RERETkf3lpOpTo2/qEJPlpnm2RDkddZiv22cO2uTnJXrlmbnIMTjZ1YvFruzDFC5Vp3jSUWaJFJXq8trMKAPDBQT0uHpvit6/HsdgmQIHkUMLF8ak6RzAnG8rW9uHwdlW0O9drMJigbzUCAKZkhFeFZDCEzEREkY4zJImIiIhCzKqF+X3+MQ0As+1LQyLZ3rMtMFtFpMdqkJscPezrFZXoscU+P9Lqhco0bxrKLFH5cwwmKwDgbEuXX7+eWaMSIAjAqaZO1LQZ/fKcPeWl6fpUxgFASozG5eNFUUScVul021C3tg+HtwO0UjeuJ8+PzE2KDptRBTJX7wN/h8xERJHOrUByxowZmDlzpls/iIiIiMi3lkzNRII9INAoBYyI1wIA3tp7Bgfs1YGRanuPdm1vzEbs3drpTouvvwyl/TjQX098lBqT7KFPIKoke4f58mtxtrUL61yEsi9sPoHtp5qhVADjU2IQpVKgMDMeHyybPeRFSUPh7QAtJUbd5zYBztcrCdN2baD7fSD/ERGIkJmIKNK59a2u66+/3sfHICIiIiJ3ldUZ0NJlgValQPPTV0GjVOC617/F+qM1uO2tvfj2gYuh04ZXRZO7dnpxoQ0Q3K2d/Z3tWD9ns9pEHKlpD/jXc152Io7UtGNXVRMWT87w2/MCwNKCLFw/NRMfHqqGUgCmZMYhPU6LjWX1uP2fe7HxR3NxYa7U6r+htBb/99lRAMAfri/Ajy7M9etZe1q1MN9pGQ8w9ACttcuMNqNUIds70P7FggmOx8kLbaZmhVe7NiC9D95fNhtPFZehtK4d+WmxWLUwz68hMxFRpHPrb6q//OUvAQBWqxVff/01CgsLkZiY6MtzEREREVE/tlZILcRzRidBq5LaSV+/dRqmr9mGY7XteOA/h/G3m6cF8ogBs/2U9xbaAK7ndQZLa2demg4H9W0u7/v1xuN498BZx2zJW6aPRFGJHhZb32Z/f38952UnYe3uMwGbI3m2pQsA8Not03HX7GxYrDYsfXM31h+twVWv7sDIhChUNnbCYrNBFIHvnz8aP5ybE5CzyuQA7dFPjqC8vgNKAfj3nbOGFKC9uOUE2owWZMVrkabT4FitARabDTYRqGrucjzukP29VZAZfhWSgPSaBsssWCKiSOTRDEmlUomFCxeiqanJV+chIiIiokF8aQ8kLxmX4rgtVafFP743A4IAvL6rCrlPf4GYRz/B9DVbgmLeoT+cae7E2ZYuKBUCZo9K9Mo1Ha2dPW4LltbOVQvznT6Wz2i02PDE58dw0D5b8qC+DY9/dgx7zrQgWi399T+QraoGkwUAsKG0zu/vz5ZOM/acaQYAXDY+FQCgUirwrztmYlxKDNpNVpTWGWCySgEdAFyRl+qV9v/hWlqQhcM/uww6jRJWERif6nmIXN3ahZe2VgAA/rCkAPtXXoqu5xfhlaUFAIDHPj2KI9VtEEUxbDdsExFRcPB4qc3UqVNRUVHhi7MQERER0SBEUcRW+5KV+WNTnO67bHwqlkyVKn6qmrvcXnQSLuTqyMKsOK+1rMuVafnpOgBS6PevO2YGRWvnNRPTobDnZFqlAoVZ8Vh763QkRfedDwgAydFqVP7fAry/bDYKM+MDMg+xqESPn39y1PGxv9+fX1Y2wiYC41JikJ3YvfRIp1VBq+r7TyMBwHObyv1yNneolQrMGyO1lG8+Ue/x56/+ogwdZisuGJ2IJVMzHbffMycHV+WnwWixYdk7+1Beb0Cb0QK1UkBems5r5yciIpJ5HEg+/fTT+OlPf4r169dDr9ejtbXV6QcRERER+U5lYwfOtHRBrRQwJyexz/3He80CDKYlLL4mB5JzcpK9el25Mi0rXgsRQGac1qvXH6oD51phE4H0WA06nrsG+1bOx52zs9Fptrp8fIfZivQ4LZYWZGHfyvnoeG4R9q2c79dwNdBLdTaXSyHepfbqyJ4qGjr63CYiOOaF9nTpOOnsW8o9CyTL6trx151VAIDnFk1yqvoUBAF/u1kKs/ecacGMl7YCAJSCgI+P1Hjp5ERERN08DiSvueYaHDhwANdeey1GjRqFpKQkJCUlITExEUlJ3pnVQ0RERESubatoBCAtBonR9K0CPF5v6HNbsCxh8bWdjkAy0evXFgTBUZG69USj168/FLvtrcezRyU6hUve3sjsTb5YElRUosf0NVvcGlGwxV5VeNm4lD73BfPr1tNl46Wzb6tohM3FTND+/OKzY7DaRFwzMR3zx/UNZEckROF/zhsFAOgw2wAAXRZbxFRYExGRf3ncy7J582ZfnIOIiIiI3LDN3q598di+gQoQ3EtYfMlosWLPmRYAwFwvV0jKLhmbgnf2n8M2+wzPQNtzWvp6Z2UnOt3u2Mhsnw8ZiDmR/fH2+7OoRO+0fVpuAX9/2ew+C0saO0zYf07q6LrMRYVkML9uPc0cmYA4rQpNnWYc0LdixsiEQT/n26pmvHdQD0EAfn3NpH4ft+l436pLuYKVC2CIiMibPA4k58+f74tzEBEREZEbtlW6nh8pc4QqgCP0CcZQxdv2n22FyWpDqk6DcSkxPnmO+faquu2nGmGy2KBxMXPQn7orJJ0DKXnu5VPFZSita0d+WixWLcwLirmXvUM/YHjvT7kF3PFeR/8B2raKBogiMDE9FlnxUX2uFcyvW08qpQIXj0nGp8dqsbm8fsBAsqhEj9XFpY4FNZeMSUHhiP6X1JTVRW6FNRER+ZdbgeTBgwcxdepUKBQKHDx4cMDHFhYWeuVgREREROTsTHMnKho6oBCAi3JdVwHKocqqz4/hSI0UIvxxaUHQhSre5pgfOTrJZxuRJ6bHIj1Wg9p2E7493YyLxvimEtMdBqMFR2qkkGmWi43iSwuygrKirWfoV1ItzcBcUpA56PtTDtbK6gzIS9Nh2XnZaOm09Km2BPoP0DaXS2H+pS7atXueLxhft94uHZ+KT4/VYuuJBjw8f5zLx/SuHgWArRUNKCrR9/s1RmqFNRER+Z9bgeT06dNRXV2N9PR0TJ8+HYIgQBT7zisRBAFWq+sh2kREREQ0PFvtrcIzRyYgLqr/v8bJocoVf9mOTcfr0dhp9tcRA2aHHEjm+m6muSAIuGRsCt4/qMfWioaABpL77QttRsRHYURC32q/YCa/P9/eewZ3vL0Px11U5fXUO1g7qG/Dyo+O9Pv4/gI0x/xIF+3aoUYOVbdVNMBqE6FU9A3he1ePAoO3X4dK2zoREYU+t/pMKisrkZaW5vh5RUUFKisr+/yoqKjw6WGJiIiIIpk8u/CSASq8erptxkgAwNt7z7j8ZnI42dGjQtKXLrG3ysuzPAPF0a6dPfj8wGB11cR0KATgUHUbTjX23XAtcxWsAUC8VoUVF+UCgPPmbhcBWl27ESV6qaJ0oArJUDFjZAISolRo6bJg39kWl48ZygIhuYK1MDMeUSoFCjPj8cGy2WFfYU1ERP7nVoVkTk6Oy58TERERkf/IIVh/8yN7u6EgCyuKSnCkph0HzrViuhvLL0LRuZYuVDV3QiEA549O9OlzyXMkvz7ZCLPVBrUyMHMk95xuBuC6XTtUJMdocGFuMr6qbMQnR2vxY3u42JurYA0ATFYb/rCkAJeNT8VTxWU4VN0KqwjkJkXj2imZTo/dav+9MzUzDmmxWi9/Jf6nVEjVuh8fqcGWEw2Y3WuxESC1Xx+0h7Ayd9qvQ6VtnYiIQtuQ/wZ15MgRfP755/joo4+cfhARERGR91W3dqG0zgBBAOa52SqcEK3G4kkZAIC395315fECavupRgBAQVY8YrUe72z0yJSMOCTHqGEwWbH3jOvKNH/YbX/u3gttQs01k9IBAJ8eren3MXlpuj639QzWlhZkYd/K+dA/uRAJUSqcbOrE2t2nnR6/2R5IXhoG7doyORzfUt53MzYA3H3eaKeP2X5NRETBxONAsqKiAtOmTcPUqVOxaNEiXH/99bj++uuxZMkSLFmyxBdnJCIiIop4X1ZKoVthVjySYjRuf95tM6W27Xf2nYXNFp5t2ztONQMALvBxuzYAKOyVaUD3TE9/a+0yO9puQ7lCEoAjMP9veT06TBaXj3ligXOA1l+wlqrTOh77xGfH0G7svp4c2l0WBu3aMnkW5peVjbBYbX3uP2RfepQQpWL7NRERBR2PA8kHHngAY8aMQW1tLWJiYnD48GFs27YNs2fPxpYtW3xwRCIiIiKSW04vcbNdW3bNxHQkRKlwpqULX1YGdu6hr+ywV0jOzfF9IAkEfo7kvrMtEEVgdGI00uNCu/14SmYcRidGo8tiw3/LXb+eMRolAEApANpBgrWfzMvFuJQYVLcZ8cLmcgCAvrULR2vbIQjdVYXhYFpWPJKi1WgzWrCnV7VubZsRb+05AwD4ePn56HhuEfatnM8wkoiIgobHgeT27duxevVqpKamQqFQQKFQYN68eXj22Wdx//33++KMRERERBHPsdBmrGebnaPUSiwtlEKIf+4Nv7Ztk8XmCGPm+nDDdk9yqPXVyUZYA1B1uvu0vV07hBfayARBwKLJUpXk+iOu27Zf31UFAFgxbww6BwnWtColnl88GQCwZusJnG7uxBZ7cDwtKx7JHlQXBzuFQuhu2+4Vjv95+ykYLTacl52Ii3IDtw2eiIioPx4HklarFXFxcQCA1NRUnDt3DoC07Ka0tNS7pyMiIiIiNBhMOFQttV96WiEJALfPGAUA+OCgHkaL1atnC7QD51rRZbEhOUaNCal9Zw36QmFWPBKiVGjtsmD/Of/Pkdxj37Ad6u3askU95kj23gZf22bER4eloHL5+aP7fK4rS6Zm4uIxyeg02/DEZ8ew2d6uHU7zI2XdgWT3HMkusxV//KYSAPDQJWMhCILLzyUiIgokjwPJqVOn4sCBAwCACy64AC+88AK+/vprrF69GmPHjvX6AYmIiIgindxqPSk9dkgbguePS0FWvBZNnWZ8fqzO28cLmKISPZa8uQsAYLbasO5QtV+eV6kQcPEY+xzJALRtf2vfsH2ei83Koeiy8amIVitwpqULB/WtTvf9Y88ZWGwizstOREFWvFvXEwQBa66d4vh8ucLywxI9ikr03j18gF02TgpZv6qUtr4DwL/2nUVtuwmjEqJwQyFbtImIKDh5HEg+8cQTsNmk/9mtXr0alZWVuPjii/Hpp5/i5Zdf9voBiYiIiCLdtgppRuIlQ5x/p1QIuHW6tNzmX0G6bbuoRI/pa7Yg5tFPMH3NlkGDo6ISPW5cuxvnWo0AgDajFTeu3e23wEn+tdjm58U2TR0mnGjoAADMCvEN27JotRKXj08DAHxytNZxuyiKjjDx++dne3TN2dmJmG+vJpa76k81dfr1PeIPUzPjkGLf+r77dDNEUcRvt1UAAO6bNwZqpcf/3CMiIvILj/8PdeWVV2Lp0qUAgPHjx+PYsWOor69HbW0tvvOd73j9gERERESRrKhEjz9/cxIA8NnRmiGHKbfbt21/dLgarV1mbx3PK+RwsUTfhi6LDSX6tkGDo18Vl6J3I6ogAE8Vl/n2sHZy2PVlRaPXtpe7E8rK8zLHpcR4tG092C2aLLVtf9JjjuSOU004WtuOaLXCEah7oqbd6PSxCP++R/yh5xzJzScasPF4PQ5Vt0GnUeIHc3ICfDoiIqL+eeVbZsnJyZxNQkRERORlclDXZZG6U043dw25wmvGyASMiNeiy2JD2qoNblUh+stqe7gox3ryfx9dfwQ2m+gU1BX8Zgu+/85+HNK3oXcMKIpAaV27X848Y2Q84rQqNHWaUVLdOvgnDMLdUHa3fX7k7DBp15ZdM0labLOjqgn1BilIfG3XaQDATYUjkBCt9viaJxs7+tzmz/eIv1xqb9veUl6P39mrI+8+fzQSh/CaERER+Qtr+ImIiIiC1OpeVYDDqfBad6ja0d5stoluVSH6S1mdoU+4CADlDR1IXfW5U1B3uKYNb+4+7fLxggDkp8f6+rgAAJVSgYvsW729MUfSVSjr6td6j33DdrgstJFlJ0Zj2oh4iCLw2bFatBstePeANF7g+24us+ktL03nsorWX+8Rf7nMvqxn4/F6fHZManmfmOafBU9ERERDxUCSiIiIKEi5CuqGWuHlzXDT2/L6CU8UAtDcZQGAPq9DcoxU/SU36QiC9NqsuiLPV8fsQ54jOdxA0mK14XBNu1u/1o4KyTCZH9nTNY5t27V498A5tButmJCqw8Vjk4d0vVUL8x3vcyAw7xF/OFbb1ue2n6w7FBTfbCAiIuoPA0kiIiKiIOUqqBtqhZc3w01vW7Uw3+ljOUD61+2zoFa6HgvUYbLi/WWzUZgZjyiVAoWZ8fhg2WwsKfDfVmF5juS2ioYhz5E81diBy/70Daz9fH5OUrTj53XtRpxq6gQAzAzDQHKxvW3782O1+OuOUwCAu8/PHvJoqKUFWQF/j/jDU1/0/aZCsHyzgYiIqD8qdx40c+ZMbNq0CUlJSVi9ejV++tOfIiYmxtdnIyIiIopoP74wFz/6oMTx8XAqvPLSdCjpNXcxWNpXZ47sDte0KgUmpsVi1cI8LCnIwjObyvo999KCLCwNYLg0OzsRGqUCDR1mxDz2CSamx2LVwvxBz1RUosfq4lIcrWmHVRRhE4FotQKdZpvj11jW2GGGvrULWfFRjoU2+Wk6xEeF33zA80cnIU6rQkuXBTurmgEAabrhLe4J9HvEH8rqDH1uC5ZvNhAREfXHrQrJo0ePwmCQ/kf3q1/9Cu3t/J8bERERka8pFFJlWIxaOewKL0f7ao/bgqV9VZ57N29MMjqfW4R9K+c7vsZgbrv9+EgNTFZp4ZDJ6t5cTnl5zUF9G8w2KYwEgBe/O9mpmm9KRiyy4rSoM5iw6G870dplDtuFNrL/HK5Gm9HidNsP3jvI1uNBRMqsTCIiCi9uVUhOnz4dd999N+bNmwdRFPHiiy8iNtb1/+BWrVrl9pP/6U9/wp/+9CecPHkSADBlyhSsWrUKV199NQCgq6sLK1euxDvvvAOj0Ygrr7wSf/zjH5GRkeG4RlVVFe69915s3rwZsbGxWLZsGZ599lmoVG59aURERBRgcrVYWZ0BeWk6tyrMIsUXpXUAgJ9dNg6/7NXW7Cm5ffWp4jIc1LdCBHDfvNygaF/97KgUSMozBHvqee7Sunbk96ieDLTVxaVOH/ecy9nfe7j358D+Oa9ur8K+lfOdPq+iwYAL//AV9p9rxSWvfI1K+9bo/5bXo6hEH3a/T3ov9gEGfz1JCu1vXLvbEdYHU2hPRETUH7dSuzfffBO//OUvsX79egiCgM8++8xl4CcIgkeB5KhRo/Dcc89hwoQJEEURa9euxXXXXYd9+/ZhypQpeOihh/DJJ5/gvffeQ0JCAn7yk59g6dKl+PrrrwEAVqsVixYtQmZmJr755hvo9XrcddddUKvV+PWvf+32OYiIiCgw5GoxOYSQK8zeXzY74gMIq03ExuP1AICFeWleuabcvvqLz4/hmY3HcbalyyvXHY5OsxWbyqXg9ZqJGS4fE6xtt0NplfXkc8am6LB++QW4+JWvcVDfvbikutUYlr9PgnnOaTAL5tCeiIioP24Fkvn5+XjnnXcAAAqFAps2bUJ6et/vYHvqu9/9rtPHzzzzDP70pz9hx44dGDVqFF577TW8/fbb+M53vgMAeOONNzBp0iTs2LEDc+bMQXFxMY4cOYKNGzciIyMD06dPx1NPPYWf//znePLJJ6HRDG/mDBEREflW74oouaWYFVHA7tPNaOo0IzFajfO83KK7ZGomntl4HJ8fq0On2YpotdKr1/fE1hMN6DTbMDIhCgVZcQE7x1AMZS5nTlI0SnuFkgN9zuzsRGTFaXHSvswGcK8SMxQF85zTYBesoT0REVF/PN6ybbPZvBJG9ma1WvHOO+/AYDBg7ty52LNnD8xmMxYsWOB4zMSJEzF69Ghs374dALB9+3YUFBQ4tXBfeeWVaG1txeHDh/t9LqPRiNbWVqcfRERE5H8uK6IAHKltc/XwiFJcJlUNXj4+FSqlx39lG9CMkQnISYpGh9mKYntbeKB8ap8fefXE9CFvUw6UoczlnDHSeTu2O+211W3GPreFY+VgMM8LJSIiIu8a0t9uT5w4gfvuuw8LFizAggULcP/99+PEiRNDOkBJSQliY2Oh1Wrxox/9COvWrcPkyZNRXV0NjUaDxMREp8dnZGSguroaAFBdXe0URsr3y/f159lnn0VCQoLjR3Z29pDOTkRERMPjahkDAJitIn768WGYLDa/nylYFJdKQd3CfO+0a/ckCAKum5oJAPjwUOAWhoiiiE+P1gBwPT8y2MmtshN7VPC9elPhgK2yh6qlsD07IcrtRUWRsrREfj3lxT7DWeJEREREwc3jzS8bNmzAtddei+nTp+Oiiy4CAHz99deYMmUKPv74Y1xxxRUeXS8/Px/79+9HS0sL3n//fSxbtgxbt2719Fgeeeyxx/Dwww87Pm5tbWUoSUREFADyMgaZXBEFAC9trcCHh6qhVgg41dQZUQtvWjrN2FHVDMB78yN7u35KJl7+shIfH6mBxWrzehWmO47XG1DR0AG1UsDl433zdfqa3Cp7yStf46vKRrR0Wvp97OHqNhyqboNaKeDATy9FYrTareeIpKUlbD0mIiKKDB7/zfPRRx/FQw89hJ07d+Kll17CSy+9hJ07d+LBBx/Ez3/+c48PoNFoMH78eMyaNQvPPvsspk2bht///vfIzMyEyWRCc3Oz0+NramqQmSl9Rz8zMxM1NTV97pfv649Wq0V8fLzTDyIiIvK/66dkIjFa+v6oWik4KqLW/c95iNUoUdHQgdI6A7osNsfCm6KSwFX0+ct/y+thtYnIT9MhJznGJ88xb0wyUmLUaOww48vKRp88x2A+tW/XvmRsCuKiPP4+eVD53oyRAIC3953p9zH/3n8WgNSe7m4YCbBykIiIiMKPx4Hk0aNHsXz58j63f//738eRI0eGfSCbzQaj0YhZs2ZBrVZj06ZNjvtKS0tRVVWFuXPnAgDmzp2LkpIS1NbWOh7zxRdfID4+HpMnTx72WYiIiMi3dp1uRnOnBXFaFVqfuRr7Vs7HkoIsXDc1E9mJ0U6P7bnII9zJ8yOvyPddG7NKqcB3p0jfwF13qP9RN7702bHQbdfu7aZpI6BSCNh3thVHa/rOQBVFEf/efw4AcPO0ER5ff2lBFvatnI+O5xY5fp8QERERhSqPA8m0tDTs37+/z+379+/3eNnNY489hm3btuHkyZMoKSnBY489hi1btuD2229HQkICli9fjocffhibN2/Gnj17cPfdd2Pu3LmYM2cOAGDhwoWYPHky7rzzThw4cAAbNmzAE088gRUrVkCr1Xr6pREREZGfrbNXOy6alA6tynnTc2VjR5/Hh+Mij95EUXQsmvFVu7ZsiX2O5H8O6SGKvdcL+Va70YKtJ6TKzGsmZgzy6OCXotPgKnuA/Pa+s33u33e2BcfrDYhWK3DtlP47eYiIiIgigce9MT/4wQ9wzz33oKKiAhdeeCEAaYbk888/7zSX0R21tbW46667oNfrkZCQgMLCQmzYsMExh/K3v/0tFAoFbrjhBhiNRlx55ZX44x//6Ph8pVKJ9evX495778XcuXOh0+mwbNkyrF692tMvi4iIiPxMFEV8aK/Mu35q32qvvDQdSvRtTlu4w3GRR28nGjpQ2SjNVbx0XIpPn2tBXhp0GiVON3dh79kWzBqV6JXrFpXosbq4FGV1hn5nf246Xg+T1YaxKTHIS9N55XkD7XszR2L90Rr8a99ZrL4y32lr+Dv26shFkzIQqw3t9nQiIiKi4fL4b0O/+MUvEBcXhzVr1uCxxx4DAIwYMQJPPvkk7r//fo+u9dprrw14f1RUFF555RW88sor/T4mJycHn376qUfPS0RERIF3tKYdx+sN0CgVuGpi30rA3os8gPBd5NGTXB15UW6yz4OraLUSV+Wn44MSPdaVVHslkCwq0Uu/bpDa7OXZn+8vm+0USn5qb9e+emK6U3AXyr47OQM6++zTnVXNmJOTBEAK39+1B5K3TPe8XZuIiIgo3Hjcsi0IAh566CGcOXMGLS0taGlpwZkzZ/DAAw+EzV8miYiIyPfWHZLatRdMSEV8VN8FHz0XeSjsf8VYUpAZ9rPzisuk2dgL8/2zdfr6Aql9+MND3lkWtLq41BFGAq5nf4qiiM/sC22umRj68yNlOq3K0Qb/z73dy212nGpCVXMnYrVKXDMp9NvTiYiIiIbL40Cyp7i4OMTFxXnrLERERBRBHO3aBf3P05MXefzrjlkAgN2nm2Gz+XfWoT+ZrTb8t7wegO/nR8oWTcqASiHgSE07yoY5n7Ol04wjNe3o/SskisCxHtc+VN2GMy1diFIpcOn41GE9Z7C5zb5t+93952C22gB0t2tfNyUT0Wplv59LREREFCmGFUgSERERDcXp5k7sOdMCQQC+O3nwBR/fnZyBhCgVTjd3YWtFgx9OGBjbTzah3WhFmk6D6SMS/PKcidFqXDZemlX5oYfbtotK9Ji+ZguiH/0EmU9uwMjVxbD0ExibrTY8u+k43tl3Fle+ugMAoFYK+OxY7fC+gCBzRV4a0nQa1BlM2HS8HlabiPcPyu3aIwN8OiIiIqLgwECSiIiI/E4Ovi7KTUZGnHbQx0eplbhpmjR77x97zgzy6NBVXCbNj7wiLw0Khf9G4chLhTwJJOVZkQf1bTBabKhtN6HDbENytNR+L0/ykb8Kmwg8/tkxfO+fe1HdZgQAtButuHHtbhSVeKddPBiolArcbJ8T+fbeM/iyogH6ViMSo9V+q3olIiIiCnYMJImIiMjvPrQHUNdPHbw6UnbnrFEAgA8O6tFhsvjkXIFWXOrf+ZGy66ZIvw47TjUh+uefYPqaLYOGhPKsyJ4EAKMSoxyzP6NUChRmxeP9u2bh77fNgKpXyOpqvmQ4+J69bXvdoWq88e1pANL8U42Kf/UmIiIiAjwMJM1mMy6//HIcP37cV+chIiIKS3Jra8yj7oU94azBYMK2ykYAngWSF+UmY0xyDNqMFvzncI2vjhcw9QYj9pxtASBVSPrTjqomx8+NVptjM/ZA79OyOkPfWZH22+XZnx3PLcK+lfOxtHAE7pg1CkoXVZ+iCJQOc3ZlsJmTk4T0WA0MJqujondUQnSAT0VEREQUPDwKJNVqNQ4ePOirsxAREYUlubW1RN+GLot7YU84W3+kBlabiMKseIxN0bn9eQqFgNtnSpVnb4Vo23Z/wXRRiR6zf7sNoghEqRTYfqppkCt51+riUqeP3alcHJ/a99dOEID89Nh+Pyc/Tde3qnKQzwlF6w5Vo7bd5HTbU1+URezveSIiIqLePO4bueOOO/Daa6/54ixERERhSW5tlavJwrVN1V0fHvK8XVsmt20Xl9Whxj6HMNgMFDq6CqYf/s8h3Lh2N6qauwAAXRab3wPrsjpDn9sGq1yU27xlgiB9zqor8vr9nFUL8x3vf3c/JxS5bGeP4N/zRERERL2pPP0Ei8WC119/HRs3bsSsWbOg0zl/d/yll17y2uGIiIhCXWVDBw5Vt/VtbQ3DNlV3GIwWbCiVFrcsKfA8kJyQFosLRidiZ1Uz/rXvLB68ZKy3jzgscugoB9By6Pj8okn4w1eVAJyDaQD43ZeVfa4jh1dLC7L8cWzkpelQond+nw5WudhilOZ4Jseo0WGyIj8tFqsW5mHJAGdeWpCF95fNxlPFZSita3frc0KRy3b2CP09T0REROSKx4HkoUOHMHPmTABAWZnzd3kFwX/bIImIiIJRUYkeq4tLUVpnQHKMGg0GM2y9kwmEZ5vqYIpK9Fj50WF0WWxQKwWU1xswbUSCx9e5c1Y2dlY14x97TgddIOmqGhYAfv7JUY+u4+/watXCfKcgVT5Df5WLoiji06PSHM/Xbp6O6zyodl1akOW3oDVQhhLwEhEREUUSjwPJzZs3++IcREREIa93dZy+VWopHpUQhTMtXY72VCA821QHIr82MrNVxE1/34P3lwkeh1O3TB+Bhz46hH1nW3G4ug1TMuO8fdwhc1UZJ9NplDCYrE63CQA0KgVMFltAwyu5cvGJz47hWK0UhL5xy7R+KxdL69pR0dABjVKByyek+u2cocIR8Np/z4drazoRERHRUHk8Q1JWXl6ODRs2oLOzE4D0nXIiIqJI1rs6DpACp+QYNd5fNhuFmfGOLcPnZSeEXZvqQLw5Uy9Fp8E1E9MBwLHBOFjk9bO0ZdqIeKy9bYbjY/m/IoD7540JirmKSwuycOSRyzBrlFS1arT2/3e7T47UAgDmj0tGrNbj72+HPTngLcyMR5RKgcLMeHywbHZE/Z4nIiIiGojHgWRDQwMuv/xy5OXl4ZprroFeLw1cX758OVauXOn1AxIREYWKUldz4yBVzS0tyMK+lfOx/+H5AID951rR2GHqc41w5e2ZenfOzgYAvLT1BKJ7LY8JJHlpi6xnuNhfSPX84slBFV7dWDgCAPDegXP9PkZu175mUoZfzhSK5N/zHc8twr6V8xlGEhEREfXgcSD50EMPQa1Wo6qqCjExMY7bb7nlFnz++edePRwREVEoSdVp+tzWu/V2SmYcCrPiYbaKeP9g4AM0f8lL0/W5bThtyWarDQBgsYkw9thYHehQ8sq8NGiUUqmjRin0CRf7C6mCKby6aZr03JvL61HrYpN5S6cZX1Y2AgAWMZAkIiIioiHwOJAsLi7G888/j1GjRjndPmHCBJw6dcprByMiIgolLZ1mtHZJW4fllt3+Wm+/N3MkAODtvcHVbuxLy87Ldvp4uG3Jz2467vSx3PI8lBZwb/rsWC1MVhFjU2LQGQTh4lCMTdFh9qgE2ERg3aG+Ae8XZXWw2ETkpekwPrVv0ExERERENBiPA0mDweBUGSlrbGyEVqv1yqGIiIhCzdMbj6PNaMHI+CgUZMUN2Hp72wwpkNxW0YjTzZ2BOK7fHa8zAAASolReaUsus1+vJ39vpnZFrnq9oSALgtB7mmTouGma3LbdN5D89Jg0P5Lt2kREREQ0VB5PIb/44ovx97//HU899RQAQBAE2Gw2vPDCC7jsssu8fkAiIqJgd7yuHS9/VQEAePWmQlw9SFCTnRiNS8YmY1tFI/617yweuWy8P44ZMK1dZrxlrwYt+p/zcNn44W9lzkvToUTfFtDN1L11mCz4xD5bUZ7DGKpuLByBn39yFFtOSG3b6XHSN51tNhGf2QPJRZPSA3lEIiIiIgphHldIvvDCC3j11Vdx9dVXw2Qy4ZFHHsHUqVOxbds2PP/88744IxERUVB7ZP0RmK0irspPGzSMlH1vpjT65F/7zvryaEHhrT1n0W60YmJ6LC4dl+KVa8rLY3rWIAZiM3VPG0rrYDBZkZMUjdnZCQE7hzeMSYnBedmJsIlwmsu592wLatqMiNUqcfEY7/xaEhEREVHk8TiQnDp1KsrKyjBv3jxcd911MBgMWLp0Kfbt24dx48b54oxERERBa9PxOvzncA2UCgEvfneK2593Y2EW1EoBB8614nB1mw9PGFiiKOLP208CAH40N8drbczyxuopmXGO2565emJA5zV+ILdrF4Z2u7asu227e9u2XAF6xYQ0aFQe/zWSiIiIiAjAEFq2ASAhIQGPP/64t89CREQUUqw2EQ9/dBgAcO+FuZjcIxwbTHKMBldPTMdHh2vwz71n8OtrJvnqmAH1VWUjDlW3IUatxF2zswf/BA8sLcjC0oIsLH93P97YdRqltYGbH9lltuLjI+HRri27sTALj6w/gq0VDahpMyIjTotPj3J+JBEREREN35C+td3U1IQXX3wRy5cvx/Lly7FmzRo0NjZ6+2xERERBqahEj+lrtiD60U9Qom+DTqPEL4fQKvy9Gd1t26IoDvLo0PSnb04CAG6bORKJ0WqfPMc9F+QAAN49cA5NHSafPMdgisvq0Ga0YFRCFM7PTgzIGbwtNzkG5/do265pM+Lb080AgGs4P5KIiIiIhsHjQHLbtm3Izc3Fyy+/jKamJjQ1NeHll1/GmDFjsG3bNl+ckYiIgowcyMU8+gmmr9niNGMu3BWV6HHj2t0o0bfBYpNCRIPJiq0VDR5fa/HkdMRqlTjV1IlvTjZ5+6gBV9NmxAf298a9c3N89jznj07EtBHx6LLY8NZe78/kdOf9LrdrLy3MgkIR+u3asp5t2/Iym5kjE5AVHxXIYxERERFRiPM4kFyxYgVuueUWVFZWoqioCEVFRaioqMCtt96KFStW+OKMREQURHoGcl0WG0r0bbhx7e6ICSVXF5dCAPpsd36quMzja8VoVFg6VZp5+HYYLrd5bVcVzFYRc3KSMHNUos+eRxAE/MBeJfnq9lNerTZ15/1utFjx0eFqAMBNYdKuLbuxUHp/bq1owBu7qgCwOpKIiIiIhs/jQLK8vBwrV66EUql03KZUKvHwww+jvLzcq4cjIqLg8+SGUgDdgZyIoQdyoaiszoDecZcoAqV1Q5tf+L2ZIwEAr24/iegwqji12kS8uv0UAODeC31XHSm7feZIRKsVOFzThu2nvFdt+qviwd/vm47Xo6XLgqx4LebmJHntuYNBTnIMJqTGQBSBLyul8Tw6tXKQzyIiIiIiGpjHgeTMmTNx9OjRPrcfPXoU06ZN88qhiIgoOHWYLDhS03cj9HACOX/pr+3W0/bzzDhtn9sEAchPjx3SuVq6zAAAqwgYg6zidDit+Z8erUFVcydSYtR+qRpMiFbjlulSuPvXHae8ck2bTXS5Ab33+/39A/Z27YLwatcGpPfA8foOp9se++xYULw/iYiIiCh0ubVl++DBg46f33///XjggQdQXl6OOXPmAAB27NiBV155Bc8995xvTklERAHX1mXBd1/fCZuLbtjhBHL+ILfdyq3Wcuj300vH4cUtJ/rc/v6y2VhakNXnOjtPNeFca5fTbYIgBVSrhrDUBgCe2Xjc6eOeFXiuzuAv/b1m/b02PT9vdXEpDtmDvIvGJCPKTxV1P5yTgze/PY1/7z+Hl66dgqQYzZCvJYoiHvjPIZfvdwDQKBWoNxgRr1XjQ3u7ttzeHE4GGlEQyPcnEREREYU2twLJ6dOnQxAEp5lMjzzySJ/Hfe9738Mtt9zivdMREVFQaOk045q/7cT2U02IVivQabY53T+cQM4feocq8n/XbDnh9PFAYWB5vQHffX0XTFYR00fEwyaKKKszID8tFqsW5mHJEMOZsjpDn9uCoeLU1Ws2WBDVO8QEgI8O16CoRO+X8Or80YkozIrHQX0r/rn3LH4yb8yQriOKIh779Bhe+fqk4zY5eJa/tlajBfnPbYZaKaC50wyVQkBde2A2fPuSt0cUEBEREREBbgaSlZWVvj4HEREFGbnSrbTOAAWATosNSdFqbLhnDqqaO/H4p0dRag/T3rhl2pADOX9wFaoAcH2bCByrdQ5batuMuPqvO1BvMGHmyARs+fGFiNW69b/QQeWl6VCib+tTgRboitP+gqhjAwRRga6mEwQBP5gzGvetO4RXd5zCiotyIQiet1D/etNxvLBZmov95xsLkarT4KniMpTWtSM/LRZ3zh6F326twNke1bIWm4ib/7EH7yuEsKocDNb3JxERERGFNrf+NZWT4/th9EREFDxcVboBwP9dPgGzsxMxOzsRSwuycMHvv8S3p5vR3GUJ1FHdkpemw0G98yxAAYBaKcBsFfsEb0arDT96/yBmjIjHK9+cxOFqKZBJ02mwfvn5XgsjAWDVwvw+r3UwVJy6CqIAQCkIOFLdhsmZcU63t3VZcLimPeDVdLfPHIWVHx3Goeo2RD/6CSamx2LVwvxBQ0I5gD9S0w6LvU97zbWTcc8c6e9AvT//zW9POwWSQHi2Mjven3KF6DBHFBARERERAW4Gkr2dO3cOX331FWpra2GzObft3X///V45GBERBY7LSjcAb+05g5WXjnPctmx2Nr493Yy1357GAxeP9fcx3fbDuTlYUXTI8bEcqjxw8Vj8ZsuJPu24APCqi8UodQYTvjnV5NXAaWlBFt5fNhuri0sdAeDd52UHvOJUDqJk8mvTYbZi5m+34fqpmTha04ayegPSdBq0Gy2wuhi46O9quv+W18Nklc5hsopuzb7sL4DPSYrp93nK64Oz1d7b5PdnzwrR4YwoICIiIiIChhBIvvnmm/jhD38IjUaDlJQUp1YoQRAYSBIRhYHSWhftuugbttw6YwQe/ugw9p9rxf6zLZg+MsFvZ/SM9P8qnUYJq010ClUuyEnqE7ak6jRY9LedaDdZna/iowq4pQVZWFqQhVd3nMKP3j+ITcfrYbbaoFYqvPo8np7pnjmj8eqOKigEoCAzHisuysVHh2uw/mgN3j1wzvHYMy1SpWBilArNXZaAVtMNZfblUFrNI6mVWX5/EhERERF5i8eB5C9+8QusWrUKjz32GBSKwP1DiYiIfKOmzSjnd05chS3JMRpcNyUD7x3U483dp/G7IA0ki0trAQCPXT4B/3f5BKf7+gtbLC6q/XxdAXfXrFFY9fkxVDV34t0D53D7zFE+ey53GOyB7OML8vCrK/MBAMsvGI0xz2xEVXOvdmUA2UnR+NvC/IBW0w1lCctQPoetzEREREREQ+dxotjR0YFbb72VYSQRURiqaTPi8j9/A6NFGsch55IDhS3LzssGALy99yxMFluf+wPNZLFhU3k9AODK/DS3Py8vTdcnl/V1BVyUWon77a3vv9l8AqLoau2O/3xZ0QgAmDcm2XGbIAiodbFNWgRwvM6ApQVZ2LdyPjqeW4R9K+f7vbV3KL9uY1P6tmYP9jlyK3NhZjyiVAoUZsbjg2Wz2cpMRET0/9u787io6vUP4J8ZRlYZENljERcQE1y7SmqugWWLabu39ObVFvVamSllWrZYllaWZatyM6ufhnUzI3fNxDVQRAV3SIdFgWGHWc7vj2FGhhmUgZkzA3zerxcv7pxz5sz3y3ydLg/P93mIiJrA4qji1KlTsX79eluMhYiI7KigLhh5Ir8cN3m54qP7eiM26MbBlvhIPwTJXXClohabT+XbYeTXt+9CEcprNPDzcEa/4KZncC6MjzJs9wXEy4B7Oi4cHs5OOKYoxZbsQpu+1vXkFFcip6QKTlIJ4sI7GZ2zR7C2qRq+b8CN37deAcYNepr6Xts7+EpERERE1FpZvGV7yZIluOuuu5CSkoKYmBh06NDB6Pzy5cutNjgiIrK95AwFFqacwsm6Dsk+7h2w46k49PDriBlDIm74fJmTFP/sH4J3d51F0qFcjO/tWEGZ3+uCevFRfpBKzexFb4S9mnl0cnfGtMHh+GDPOSzdcQYJUf42fb3G/HFelx3ZL1hu0lXckbcr13/fTuSXQaUVIHeRNZodW16jxvbTugza8E5uyC+rYeMWIiIiIiIba1ZA8vfff0dUlK6WVMOmNkRE1HrouwvXV1SpQkZeGXr4NT3bbfLAULy76yx+PVmAgrIa+Hu6WHuozfb7KV39yOYE9uzVzOPZYRH4eO957Dx7FYdySnBLmLfoYzBs1+7a2eSco3de1r9vao0WkW/vwIXiKnx9MBczh5oG2L8+mIPiKhW6dXbHqXmj4GRB0JqIiIiIiJrH4oDksmXL8PXXX2PKlCk2GA4REYlp8ZYsk2PN6STdK9AT/wj1xsHcEqxLu4Rnb+tqzWE2W15pNdIvlwLQbS1vLcI6ueORfjfhmyN/471dZ/DD4wNFH8Pe81cBAMPq1Y+srzV0XpY5SfHiyO54JjkD7+46g+mDw+Esu1atRqXRYvnucwCAOcO7MRhJRERERCQSi2tIuri4YMiQIbYYCxERiSyrsMLkWHM7Seub2yQdzm3xuKxFX4Ox/01eDpW12RQvjOgGAFh/TAHXeb+i77JdSM5QiPLaVytqcSJftwaGNhKQbC2m3BKKQE8X5JZUY13aJaNz649eRk5JFfw8nA3rl4iIiIiIbM/igOTs2bPx0Ucf2WIsREQksmC5q8mx5jYnebhvMGRSCY5eLoXrvE2iBtAa83uWLiCZ0LP1ZEfqnb5yLVhcq9EiQ1GG+5MOi/Iz/fOCbrt2T/+O8OvYugK5Dbl2cMLzw3XB3Xd2nIZGq+tcLggC3t11FgAwa1gE3Do42W2MRERERETtjcUByYMHDyIpKQldu3bF3XffjQkTJhh9ERFR69Glk5vR45Y0J9l59irUdcGeWo0gagDNHI1WwJasuvqRkfZpDNMSi7dkGXWy1neOfn1Lts1f21A/spVnR+o9OTgcndw6IKuwAhvr1uPW7EIcvVwK9w5OeObWLvYdIBERERFRO2NxQNLb2xsTJkzA8OHD4evrCy8vL6MvIiJqHapVGhy5pAQAdOvsDleZFLGBcvw4eWCzmpPYM4Bmzl9/K3G1UgVPFxniunSyyxhaIruwAkKDY83dTm8pQ/3Irm0jIOnpKsOsuoY2S3acNsqO/PfgMPi4O9tzeERERERE7Y7FTW1Wr15ti3EQEZHINp3IR2m1GqHersiaNwrSFjb0sGcAzZzfs3XZkaN7+KKDk8V/f7O7SD8PZCjKjH6mzd1Or5ecocDiLVnILqxApJ8HFsZHmTSmqahR48jfukD1sAjTDtut1ayhEVi2+yzSLpXire2nsf30FThJJXhumGM0YCIiIiIiak/s+hvakiVLcMstt8DT0xP+/v4YP348srKMO75WV1djxowZ6Ny5Mzp27IiJEyciPz/f6JqcnByMGzcO7u7u8Pf3x9y5c6FWq8WcChFRq/NdXYOPR/qFtDgYCegCaA3vIkHLAmgt8fupuu3aUa2vfiQALIyPMmSZ6jV3Oz2gC0ben3QYGYoyVKsbr0l5IKcEaq2AEC9XhDfY0t+adfZwxvTB4QCAV1J0/1/D09nJkCVMRERERETisTggGRERga5duzb6ZYndu3djxowZ2L9/P7Zu3QqVSoX4+HhUVFwr5P/cc8/hl19+wfr167F7925cvnzZqFalRqPBuHHjUFtbi3379iEpKQlr1qzBwoULLZ0aEVG7UVxZi19P6gJ2j/a7ySr3NBtAA/DSqB5Wub8lSqpU2J9TAgBIiGp99SMBYEJMEDZMHojYQDmc6n6mt4Z3uuF2+uQMBfou2wX3+brO3GsP52LzyXw8veEYABgyLhvbUv+HYbt2Z0gkLQ9UO5LoBsFxZbXarnVOiYiIiIjaK4u3bD/77LNGj1UqFdLS0pCSkoK5c+dadK+UlBSjx2vWrIG/vz+OHDmC2267DUqlEl999RXWrVuHUaNGAdBtGY+Ojsb+/fsxePBgbNmyBSdOnMC2bdsQEBCAvn374vXXX8e8efPw6quvwtmZdaGI2rvrbVNtyhbWtig5Iw+1Gi16B3oiNlhulXvqA2ivb8nGqcJyqLUCNFoBGXmleADBVnmNptp+uhAarYAoPw908XEX9bWtaUJMECbEBOHoZSX6Ld+Dg7klyC+rQYCn+c7X+ixICXQBx2OKMjz+fXqj9ze3pX7v+bbV0Ka+j/88b/S4flC2Pfy7JyIiIiJyFBYHJGfPnm32+MqVK3H48OEWDUap1G2b8vHR/RJ05MgRqFQqjBkzxnBNz549ERYWhtTUVAwePBipqamIiYlBQECA4ZqEhAQ8/fTTyMzMRL9+/Uxep6amBjU1NYbHpaWlLRo3ETmuhgEa/TbVJ+N0Wzc/S71ocm7D5IFtPjix7q+/AQCPWCk7Uk8fQAOA9Ucv46FvjmDJjjMY3zsQ/UO8rfY6NwoyT1+vywa8UlGL5AxFq38/+wR7YVCYNw7klGDNoVzMG9Xd7HX6xkINa3k6O0nh4eyEkiqVcU1KGG+pV2m0SL1QDAAY1gYDktmFFSbH7FnnlIiIiIiovbJaDck77rgDP/74Y7Ofr9Vq8eyzz2LIkCHo3bs3ACAvLw/Ozs7w9vY2ujYgIAB5eXmGa+oHI/Xn9efMWbJkiVFn8NDQ0GaPm4gcW8MAjf77Z6kX8VnqRaNj9u4KLZZLyirsOqfblmut7drmPNAnGA/EBkGjFfDED0dRq9ZafI+G24+TMxTXrYWoP1dcpQIAFFWq2syW3Gl19Q+/PHARWm3DkKOOucZCACCVAF882Mfslvqp/7j238C0S0pUqjTo5NYBvQI8rTd4B2G2zmkLGwUREREREZHlrBaQ3LBhgyGzsTlmzJiB48eP4/vvv7fWkBqVmJgIpVJp+MrNzbX5axKRfVwvQGOuj0tryJYyF6SzxPdplyEIui254TbezvzRfTHw9XDGMUUp3tx+2qLnNhZ4nL7+KADTIPNj6/7CY9/+ZXSPthRkfqhPMOSuMpy9WomdZ6+YvSbCzPupD7jVr0npItNlTALAqtSLKK/RNYL745xuu/aQLj5WaXTkaBrWOZVIWtYoiIiIiIiImsfiLdv9+vUzKnIvCALy8vJQWFiITz75pFmDmDlzJjZt2oQ9e/YgJCTEcDwwMBC1tbUoKSkxypLMz89HYGCg4ZqDBw8a3U/fhVt/TUMuLi5wcTFff4uI2pYguSvOF1UaHZNIgJggOQRBQIai7LpbWB1NY1vQLdlmfq27tu2yI/X8PV3w8X0xeHjtEby5LRvfp11CbklVk+p1NpbdWlSpMnt9lcp8BmZrCDI3hYeLDJP6h+DTfRfweepFjO5h2j3cz8MZJ+s9bhhwq7+lPq+0GgM+2IMT+eV4csMxrH20H/bWNbQZ2rXtbdcGjOucZhWWI8qvIxbGR96wURAREREREVmXxQHJ8ePHGz2WSqXw8/PDiBEj0LNnT4vuJQgCZs2ahY0bN2LXrl2IiIgwOj9gwAB06NAB27dvx8SJEwEAWVlZyMnJQVxcHAAgLi4Ob775JgoKCuDvr+ukunXrVsjlcvTq1cvS6RFRG6LWaKHWGgep6gdoBEAX3Ks7BuiCXgmRpoEeR2EuSGdJU45TBWX465ISMqkED/QRJwjzYN9gfPjHWaReLMHpK7oafk0JpGY1kt1qjgRAFx83CAJwsbjKOMjchrbkTh8chk/3XcDG43kmzW0OXCzGnrqGND18PZBbUnXdgFug3BU/PDYAoz5NxXdplzA4vJOhoU1brB+pVz8oS0RERERE9mFxQHLRokVWe/EZM2Zg3bp1+Pnnn+Hp6Wmo+ejl5QU3Nzd4eXlh6tSpeP755+Hj4wO5XI5Zs2YhLi4OgwcPBgDEx8ejV69eeOyxx7B06VLk5eVhwYIFmDFjBrMgidq5rw7mILekGh7OTuji446zVypMAjT1s6U6ushwpaIWK/ddwKP9Q6zWfdqaThWYBuksyQD89i9ddmRClB98PcT7jFRWq40eNyWQGuDpgpziKqNjEgkQ5u2Gi8VVhkCy/vt7d99sEmRua1ty+wR74R+h3jiYW4Kkw7l4caSuuY0gCHjuf5kAgCkDQ/H1w32bdL+hEZ2x9K5eeP5/mZj903EAuuBubkkV4mwxASIiIiIiIjQjIGlNn376KQBgxIgRRsdXr16NKVOmAADef/99SKVSTJw4ETU1NUhISDDaGu7k5IRNmzbh6aefRlxcHDw8PDB58mQsXrxYrGkQkQNSVqnwSkoWAOCtO6Mxa2iE2evqZ0upNVrc+eUBbDt9BfeuPogD/xkGf0/H+cPGlYoamPZP1gnxdr3h8wVBMGzXfrR/yA2utq5zVytNjl0vkKrSaKFSm89uXX6PLvDY2Lbbtr4ld3pcOA7mluDLAzl4YXg3SKUSfJ9+GfsvFsPD2Qlv3GHZboXQBmtHAPDw2r8gc5Iyk5CIiIiIiGyiyQFJqVRqVDvSHIlEArVafd1r6hOEG2/Gc3V1xcqVK7Fy5cpGrwkPD8fmzZub/LpE1Pa9se00rlTUoqd/RzwVF96k58icpPjhsQEYvGIvTl+pQNe3tkMjCIhqQr1DW6usVeOerw+hVqP73Ky/bRsAckuqsfvsFQzv5mv2+ckZCszbdALnrlbqntuEz19rivTzMK3XeZ2t1F/sz4GirAZyVxnCvN1wxkx2a2PvR1vfkvtQn2A893MmzlypwM6zVxAX3gnzfz0BAJg/qjuCvW4cnK7v9a3ZJuvJkjIARERERERElmpyQHLjxo2NnktNTcWKFSug1ZpvKEBEJKYzVyqwYu85AMCyu3uhg5O0yc/t5O6MmUO7YPZPmahUaQA0r3GMNak1Wjz67V/Yf7EYndw6YFF8JFYfzEVWYTl6+HpAKgGOKspw55cHMHdEd/x0XIHswgpD4xhAt41ZTwDwz3VpcO3gJNp8FsZHGTXjARrfSl1WrcZrW+qyW++IxjNDuogyxtZC19zmJqxKvYgv9udg34Vi5JZUI7yTG54f3s3i+5nrRN9WGgEREREREZFjanJA8t577zU5lpWVhfnz5+OXX37BpEmTuE2aiBzC3F8yodIIGBvlhzuiAyx+/lcHclrUOMZakjMUWLwlC5l5ZdAIgEwqwc9P3IKhEZ3xn2FdDddVqzS4P+kwNp8qwOJ62W76QKqXq+lHvdjzqd/dODO/DGqtgA5SCW4O9DS59r3dZ1FYUYsevh6YNjhMlPG1Nk/GhWNV6kX839HLwFHdsYkxQXDr4GTxvSzNXiUiIiIiImqppqcN1XP58mVMmzYNMTExUKvVSE9PR1JSEsLDm7YtkogI0AXc+i7bBff5v6Lvsl1IzlC0+H7d3tqOnzPzAQBje/o36z6OkDGWnKHA/UmHcUyhC0YCgForoKC81uRa1w5OSJ5yC+QuusBj/UAqYNpQBrBPBtyEmCCkzRmOmnfG4fZIX6i0AqavPwqt9tpPW1FajWW7zgIA3rqzp0XZre3JWTM1OZfvOdesf0ML46MMQXeg7TUCIiIiIiIix2PRb3pKpRLz5s1D9+7dkZmZie3bt+OXX35B7969bTU+Imqj9AG3DEUZqtVaQzZfc4OS+vudL7oWqHn258xm3S/SzwMNK+ZKIG7G2Ku/Z5kc02c1muMsk6JG0/SyGfbMgJNIJPjs/j7wcHbCnnNF+Gz/RcO517Zko1KlweDwTqxfeB2Lt2SZrtHrrI/r0WevxgbK4SqTIjZQjh8nD2xTjYCIiIiIiMixNDkguXTpUnTt2hWbNm3Cd999h3379mHYsGG2HBsRtWH6gIq5bdGWEgQBL/wv0+R4c+/XMGNMP74XR1hen685jitKkZlXZnL8RlmNUeYCqRIgvJOb4X/rv9s7A66LjzveujMaADDv1xPIKa7EqYIyfHUwBwDwzrjoGzZSa8+sncWrz16tfHsc0uYMZzCSiIiIiIhsqsk1JOfPnw83Nzd0794dSUlJSEpKMntdcnKy1QZHRG1XcwMq+rqK2YUV6OHngdsj/bD99BVcKK4yuba5AZr69Q5PFZZDEATUagScvmK6TdaaBEHAqtSLmPO/TJOfDXDjrEZD45i6gKP++/J7boYAXXA2q7DcpFu1vcy4tQt+SL+EfReKEfPuLlSoNNAKwMBQLwzr2tmuY3N0rPtIREREREStWZMDko8//jizVYjsrH4wTt9BWb+t9XrnHFGknweOKUyzACP9PBp9jn5bdv2mLRl195BKAG2DKF5LAjQTYoIMP78f0i/hkbV/4b3dZ/BkXDgCPF2adU9z9O9bVmEFXJykKK3R1Xvsd5McaZdKTYKL18tqrB9INRd4dLT1IJVK8FDfYOy7UIyyWo3h+OFcJZIzFA43XkfSWPCZdR+JiIiIiKg1kAiCYC4Rp10pLS2Fl5cXlEol5HK5vYdDZFbDYJz++4bJAwGg0XOOGtT5cM85PGdmm/UdPf3x678HmX1O32W7TLLCACCgozPeuasXpnyfbhKgsUYtPK1WQNxHe3EotwRP39oFKyfEtOh+eg3fU70pA0Px5YN98FNmnsNlNVpb32W7TALTEgkQGyhH2pzhdhpV65CcoWjz64OIiIiIiFoPS+JrTc6QJCL7MldzEQAe/O9hwzXm6jE6akDyXF3zGS9XGWrUWgR4uuBicRV+O1WAz/dfxPTB4UbXC4KAE/nlZrcyK6vVeHxgKDq6yGwSoJFKJXhnXDRGrUrFF/svYvawCET6WZZ52TCDddbQCCxIOaWbW73rJADSLikhlUqMsjTbquzCCpNj9ugA3hq1h/VBRERERERtEwOSRK2EuZqLgOk2ZT1HDupUqTT45sjfAIDvHxuAhCh/AMAb27KxMCULM5MzEOXngeHdfAEA5TVqzEjOgNrMZOtvy7ZlgGZEd1+Mi/bHrycL8PLmU1hfl5naFA0zIY8pyjBt/TGz1wpw3PfNFlgLkYiIiIiIqP1hQJKolTBXc1ECXeBGEASzAcvuvo3XY7SnDccuo6RKhfBObri9h5/h+Muje+BEXhm+T7+Mu786iBBvN5y7WgEJJKjRaA11Iu1VN2/JndH47VQBfsxQoMeS7bikrG5Svc6G2a16+qq87TkYx1qIRERERERE7Y/U3gMgoqa5q1eA0WOJRBfIevOOnnjzzmjDNu36qlUaFFfWijbGpvo89SIA4N+DwiCVXhu0RCLBlw/2QdfO7iiv1eBUQTlqNQJqNFoAwGvxUdgweSBiA+VwlUkRGyi3So3IpuodJMfwbrruz2evVqJarUWGogz3Jx1Gcoai0edlNZLdKpNKjN639hiM0zfisdd7SkREREREROJjhiRRK6DSaPHjMV3Ay8/DGWU1apMaifW7K4d5u+FyaTXOXK3EgPf3wN3ZCeeuVjpE9+3MvDL8eaEYTlIJ/nVLmMl5d2cZXJxM/1YiAbDhmAJpt0fadfx5pTVGj5tSr9PXwxmXlNVGxyQSoFegJ165PbLdNyZhLUQiIiIiIqL2hQFJolbgk30XkFVYAf+OzsiePwpy1w4m1zQM6hxXlGLoyj9xobjKcEyfzWfP7ttfHNBlR97TKwDBXq5mrzlf1/CmPkeprWh2bNep13m1ohbKKhWAa93P62dC3sdgHBEREREREbUz3LJN5OCuVtTitS3ZAIDXx/Y0G4w0p3eQHIGeLkbH6mfz2UOVSoNvDuua2Uxr0EW7vkg/DzTYfe4wtRUtHdtLv51Eea0GYd6uiAny5LZkIiIiIiIiaveYIUnk4F7dkoWSKhX6BMvxxD9MtzhfT0697Eg9e3bf3nDsMor1zWwi/Rq9zpEbnRjGhmvNaBob26GcEnx5IAcA8M2j/TGsa2fxBkpERERERETkoJghSeTATuSVYVVdA5jl99wMJ2nD3LzrM5vNB/tlGn6xXxecmzoo7LpzceRGJ4axBcnRwenaHFQa47Y1Wq2AmRszIAjAP/vfxGAkERERERERUR1mSBI5oOQMBRZvycLxvDJoBeAfod4Y2d3X4vs0zDQEdFl9YmcaJmco8NLmk8gurAAABHZ0ucEzHLvRSf2xzf/1JJbuPIN/r09HTJAnogM8AQBfHczBodwSyF1lWHpXL3sOl4iIiIiIiMihMEOS7CY5Q4G+y3bBff6v6LtsF5IzFNc93l4kZyhwf9JhZCh0wUgAOJhb0qyfQ/1MQ+e6bD6ZVIJ/hHlbccTXp5+PPhgJANM3HGsz7+sbY6MwsltnlNdocH/SYZTXqFFUWYuXNp8EALwaH4VAufnmPURERERERETtkUQQBOHGl7VtpaWl8PLyglKphFwut/dw2gV9kMrQdbju+6R+N+HbtEsmx+3ZFVpsfZftQoaiDPX/YUokQGygHGlzhrfo3sNX/ok/zhfh2du6Yvk9N7dsoA3oszqzCysQ6eeBhfFRuCs6AJFv70BOiXEtS2vNx1Hkl9VgwPt7cLm0Gl6uMpTXqKERgDBvV5xJHA2ZE//2Q0RERERERG2bJfE1/pZMdrF4SxaAek1B6r5/m3bJ5Lg9u0LbQ3ZhBRr+lcBajWheGtMDAPB56kVcqahp8f306md1Vqu1yFCU4f6kw/B/9XeTYCRg38Y6thDg6YJnbu0CAFBW64KRAJBTUo3/nci338CIiIiIiIiIHBADkmQXJ/KbHoxqa8GrG+nu62FyTCKxTiOa+Eg/DAjxQqVKgw//ON/i++kt3pJl3HW67ntptRoyM81rrDUfR/J/Ry+ZHGtvwXQiIiIiIiKipmBAkkS3at8FqLWmlQIkEsBVJjXpCg0Avh7Oth9YC1iz7uWgBvUd9Q1prNGIRiKRIHG0Lkvy473noaxSWXyPhnP9PPUCMvPLTbI6AaCDVIJvJ/Wre20YvltrPo6kfo1MvfYWTCciIiIiIiJqCgYkSVT/l34ZMzZmGB43DFLNGhph2KZd39/Kany813oZfdbU2Hbl5gQlK2vV+PVkAQDgJi9XuMqkiA2U48fJA3GflWpojr85EL0COkJZrcYn+y5Y9NyGcz2mKMNTP2ZA00iAuVegJx7oc5OhsY4t5uMoIv08TILpbTETlIiIiIiIiKilZPYeALUfW7IK8Nh3f0EQgKfiwjG6hy/e2HoaWYXliPLriIXxkbgvJgiDwjvh9S3ZyCosR6SfB8J93PFLZj7+89NxHM4tQfplpVHjFHs3u2lsu/LClFMWj+2TfReRV1aDCB93nHxxJJxl1v+bgVQqwfxRPfD4d2n4YM85zB4WAXfnpn0UNJyrnotMihq11hBYbpgFOSEmyO7vk60tjI/SNWpq5GdARERERERERDrssg122bYlfeflUwXlUGkECAAe6huMtY/2h5OZ2oLmCIKAV1Ky8Nb200bHHaUDt9v8X1Gj1po9N2toBHoHemLln+dvGEQtq1aj61vbcLVShdUP9cXkW0JtNma1Rouod3bifFElPrj3ZvxnWNcmPc99/q+oNjNXV5kUayf1NwSS6weY25PkDEW7/xkQERERERFR+2RJfI0BSTAg2ZA+iNjSLET99t6GGXXf/7M/Hux7k8X3C3rtd+SX1Rodk0iA2EA50uYMt/h+1nLTa1ugKGtax+rrBVHf2JaNhSlZiPLzQMYLIyBzsm1Fhc9SL+DpHzMgk0rgJJUgqgnvdex7u3A8r8zomEQCxAbJkfa8/d4DIiIiIiIiIrIvS+JrrCFJRqxZD9Hc9l6JBFiy/UyzxqasUpscs3fTkP0Xi5FfrgtG6vM99fUvF94eCQ9nJ6Pr9fUxG3ZeLq6sxbJdZwEAryZE2TwYCQDebh0AAGqtgJomvte3dulk9JjbkomIiIiIiIjIUgxIkhFz9RD1ATRLO0lnFVaY1BpsSQDR0ZqGFFXW4uFvjkArALeGd0JMkKdR05ZXE6LMNnsx9zNYtvsclNVqxAR54oHYYFHGv6TBFvjGgqV6Gq2AHWeuAgCC5S5tukENEREREREREdkOm9qQkcaCiEcVpUbbr/XZdI3Vb6xRayCTStBwI3NLAogNm4box2aP7DxBEPDED+nIKalCt87u2DxtEOSuHUyui/TzQIaizORn6u7shFq1Fs4yKQrKavDhH+cAAIsTekLaxNqaLZVdWGFy7HoB45+OK3DmSgV83Dsga94oeLjw44OIiIiIiIiILMcMSTIQBAGuN+jqbC5zsiGtVsATPxxFRa0GgPFW5pYEECfEBGHD5IGIDZTD2ela0M5ckxVb0WeJusz7Ff/LzIdMKsEPjw0wG4wEdEFU/c8KuPazKKpUYcD7u9H73Z24afFWVNRq0K2zO+65OUCUeQCNZJzCfMBYEAQs3anbUv7MrV0YjCQiIiIiIiKiZmNAkgze3nEGympdncaG9RCdzCTtCQJwssA0my5x80l8l3YJMqkEr9weidggudW2906ICULanOGofucuQ2DzmR+PIae4stn3bKr69TXVdVux1VoBF4qrrjtefRDVVSZFbJAciaO6w1UmRWZ+OU7kl0NTl+559molNh7Ps/k89BoGSwFdoDlxVHeTa/ecu4pDuSVwlUkxc0iEaGMkIiIiIiIioraHaU4EAPjtZD4WpJwCADwZF479F4qRVViOKL+OWBgfide2ZJndeqzWarHyz/MI7OiC17dl40R+uSFY99VDffDYgFC8lhBlkzEvGNMDv2cV4EBOCSZ/l45tT8XByYbbnRtr0vP6luzrdqaeEBNkcv7HYwpkXzHeMt2Ue1mTPlj6+pZsnCosh0YrQK0VcDyvDA82uPbduuzIKbeEwt/TRZTxEREREREREVHbxIAk4cyVCkxalwZBAP49KAyfTow1uUYAjOo36gNzWgGYtfE4AJgE6zycbbu8ZE5SfPNof/Rbvhu7z11F6OtbUVKlQqSfBxbGR1k9sHcyv9xqTXpySkyzKu3RMbx+sHTD0ct48JsjeHvHGUyMDUKfYC8AQIaiFJtPFUAqAZ4f3k3U8RERERERERFR28Mt2+1YcoYCse/tQtTbOwyBvI/u6232WnNbjzc8PgArxvc2bO82lzloa919PfD4gBAAQF5ZDarVWkPDnRt1Abeka/gHe85BZaZjdnOb9Dhax3AAuL9PMCbEBEKtFfDv/zsKtUZXm3PZLl125MSYIHT39bDb+IiIiIiIiIiobWCGZDulr4dYX3ZhBX49WdBoZqG5rccA8MIvJ1CrMW4sI2a2358XioxfGzfe/qyff2Ndw5MzFFi8JQtZhRXwdJHhSkWt4bmGLNEWNOlp2DG8pQ1/rOXj+2Kw88xVHPlbiWW7z+HR/jdhXdolAMALI0xrSxIRERERERERWYoZku2QVitgzv8yTY43N6uxp799s/2yCytMjt0oINqwHqT++382ZuDdXWcMzWtq1FpDMHJS/5uw/vEB17JEW9CkxyTj1AoNf6whUO6K5ffcDAB4afNJRLy5DWqtgN4BHXFLmLddx0ZEREREREREbQMzJNs4faZfdmEFevh6YFQPX2zNLsRFM52hm5vVaO9sv0g/D7MNd64XEM0qrDC5HgAul9Zg3qaTABpsQQdwXFGGbx7tj4mxwS0dMoDGM07traOLEwDd/OsagON4fjmSMxQOOV4iIiIiIiIial2YIdmG6bclZyjKdLUV88rw4R/ncSK/HOaaUTc3q9He2X4L46MM27TrG9PD1+z1Wq0AF5np0pcA8HQxH6MXIH7DGXt5fWu22YxXMWqCEhEREREREVHbx4BkG9ZwW7JeoKcLVj/UF8C1IF5LsxonxAQhbc5wVL49Dmlzhou69bhhQNTXwxkA8Mm+C/jr7xKT6+dvPonSajUAGAJvEonu57Tm4b6ICfJ0uIYzYso2kz1qjw7gRERERERERNQ2MSDZhpkLLAFASZUKjw0Mdcgahs1VPyCqWBSPsVF+qFJpMX71IeSVVhuu+2L/RbxX1zV61tAIxAaZzn9Rg4xLR2k4IxZH7ABORERERERERG2HRBAEczGrdqW0tBReXl5QKpWQy+X2Ho7V9F22y6S2okQCxAbJkfb8cLuNSwzKKhXiPtqLUwXliPTzgLOTFFmF5VBpdD+NhbdH4tWEqEafn5yhwOtbspFVWI4ov45YGB/ZaoO1ljJ0IG9QE7Q1B6yJiIiIiIiIyLYsia8xIIm2G5Bs74Gl04Xl6P/+HlTUakzOrX98gNWa07RF7TkgS0RERERERESWsyS+Ztct23v27MHdd9+N4OBgSCQS/PTTT0bnBUHAwoULERQUBDc3N4wZMwanT582uqaoqAiTJk2CXC6Ht7c3pk6divJy1roD7N9sxt56+HWEf0cXk+MSCfDG1tNmnkF69qwJSkRERERERERtm10DkhUVFejTpw9Wrlxp9vzSpUuxYsUKrFq1CgcOHICHhwcSEhJQXX2tJuCkSZOQmZmJrVu3YtOmTdizZw+mT58u1hQcXnsPLCnq1Y/UY4MWIiIiIiIiIiL7cZgt2xKJBBs3bsT48eMB6LIjg4ODMWfOHLzwwgsAAKVSiYCAAKxZswYPP/wwTp48iV69euHQoUMYOHAgACAlJQV33nkn/v77bwQHm9+SW1NTg5qaGsPj0tJShIaGtrkt29S+62gSEREREREREYml1WzZvp7z588jLy8PY8aMMRzz8vLCoEGDkJqaCgBITU2Ft7e3IRgJAGPGjIFUKsWBAwcavfeSJUvg5eVl+AoNDbXdRMiuFrbzjtlERERERERERI7GYQOSeXl5AICAgACj4wEBAYZzeXl58Pf3Nzovk8ng4+NjuMacxMREKJVKw1dubq6VR0+Oor3X0SQiIiIiIiIicjQyew/AHlxcXODiYtrshNqmCTFBmMAAJBERERERERGRQ3DYDMnAwEAAQH5+vtHx/Px8w7nAwEAUFBQYnVer1SgqKjJcQ0RERERERERERI7DYQOSERERCAwMxPbt2w3HSktLceDAAcTFxQEA4uLiUFJSgiNHjhiu2bFjB7RaLQYNGiT6mImIiIiIiIiIiOj67Lplu7y8HGfOnDE8Pn/+PNLT0+Hj44OwsDA8++yzeOONN9CjRw9ERETglVdeQXBwsKETd3R0NMaOHYtp06Zh1apVUKlUmDlzJh5++OFGO2wTERERERERERGR/dg1IHn48GGMHDnS8Pj5558HAEyePBlr1qzBiy++iIqKCkyfPh0lJSUYOnQoUlJS4OrqanjOt99+i5kzZ2L06NGQSqWYOHEiVqxYIfpciIiIiIiIiIiI6MYkgiAI9h6EvZWWlsLLywtKpRJyudzewyEiIiIiIiIiImpVLImvOWwNSSIiIiIiIiIiImp7GJAkIiIiIiIiIiIi0TAgSURERERERERERKKxa1MbR6Evo1laWmrnkRAREREREREREbU++rhaU9rVMCAJoKysDAAQGhpq55EQERERERERERG1XmVlZfDy8rruNeyyDUCr1eLy5cvw9PSERCKx93DIQZSWliI0NBS5ubnsvk42xbVGYuJ6I7FwrZGYuN5ILFxrJCauNxKLtdaaIAgoKytDcHAwpNLrV4lkhiQAqVSKkJAQew+DHJRcLueHP4mCa43ExPVGYuFaIzFxvZFYuNZITFxvJBZrrLUbZUbqsakNERERERERERERiYYBSSIiIiIiIiIiIhINA5JEjXBxccGiRYvg4uJi76FQG8e1RmLieiOxcK2RmLjeSCxcayQmrjcSiz3WGpvaEBERERERERERkWiYIUlERERERERERESiYUCSiIiIiIiIiIiIRMOAJBEREREREREREYmGAUkiIiIiIiIiIiISDQOSREREREREREREJBoGJKlN27NnD+6++24EBwdDIpHgp59+Mjqfn5+PKVOmIDg4GO7u7hg7dixOnz5tdM2IESMgkUiMvp566imja3JycjBu3Di4u7vD398fc+fOhVqttvX0yIGIsdaOHj2KRx55BKGhoXBzc0N0dDQ+/PBDMaZHDkaszza9q1evIiQkBBKJBCUlJTaaFTkiMdfamjVrEBsbC1dXV/j7+2PGjBm2nBo5ILHW26FDhzB69Gh4e3ujU6dOSEhIwNGjR209PXIg1lhrAJCamopRo0bBw8MDcrkct912G6qqqgzni4qKMGnSJMjlcnh7e2Pq1KkoLy+39fTIwYix3i5cuICpU6ciIiICbm5u6NatGxYtWoTa2loxpkgOQqzPNr2amhr07dsXEokE6enpFo+XAUlq0yoqKtCnTx+sXLnS5JwgCBg/fjzOnTuHn3/+GWlpaQgPD8eYMWNQUVFhdO20adOgUCgMX0uXLjWc02g0GDduHGpra7Fv3z4kJSVhzZo1WLhwoc3nR45DjLV25MgR+Pv7Y+3atcjMzMTLL7+MxMREfPzxxzafHzkWMdZbfVOnTkVsbKxN5kKOTay1tnz5crz88suYP38+MjMzsW3bNiQkJNh0buR4xFhv5eXlGDt2LMLCwnDgwAHs3bsXnp6eSEhIgEqlsvkcyTFYY62lpqZi7NixiI+Px8GDB3Ho0CHMnDkTUum1X7EnTZqEzMxMbN26FZs2bcKePXswffp0UeZIjkOM9Xbq1ClotVp89tlnyMzMxPvvv49Vq1bhpZdeEm2eZH9ifbbpvfjiiwgODm7+gAWidgKAsHHjRsPjrKwsAYBw/PhxwzGNRiP4+fkJX3zxheHY8OHDhdmzZzd6382bNwtSqVTIy8szHPv0008FuVwu1NTUWHUO1DrYaq2Z88wzzwgjR45s6ZCpFbP1evvkk0+E4cOHC9u3bxcACMXFxVYcPbUmtlprRUVFgpubm7Bt2zZbDJtaKVutt0OHDgkAhJycHMOxY8eOCQCE06dPW3UO1Do0d60NGjRIWLBgQaP3PXHihABAOHTokOHYb7/9JkgkEuHSpUvWnQS1GrZab+YsXbpUiIiIaPGYqXW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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_series(y, y_pred)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "`TimesFMForecaster` also supports Global Forecasting" ] }, { "cell_type": "code", "execution_count": 28, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "True" ] }, "execution_count": 28, "metadata": {}, "output_type": "execute_result" } ], "source": [ "forecaster.get_class_tag(\"capability:global_forecasting\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "%%capture\n", "\n", "# Preparing the data\n", "y = _make_hierarchical(\n", " hierarchy_levels=(2, 5), max_timepoints=100, min_timepoints=100, n_columns=1\n", ")\n", "y_train, y_test = train_test_split(\n", " y, test_size=0.1, shuffle=False\n", ")\n", "y_test = y_test.groupby(level=0).apply(\n", " lambda x: x.droplevel(0).iloc[:-4]\n", ")\n", "\n", "# Loading the model\n", "forecaster = TimesFMForecaster(\n", " context_len=64,\n", " horizon_len=32,\n", ")\n", "\n", "# fit and forecast\n", "forecaster.fit(y_train, fh=[1, 2, 3, 4])\n", "preds = forecaster.predict(y=y_test)" ] }, { "cell_type": "code", "execution_count": 30, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " c0\n", "h0 h1 time \n", "h0_1 h1_4 2000-04-06 4.485561\n", " 2000-04-07 4.447956\n", " 2000-04-08 4.479393\n", " 2000-04-09 4.502285" ] }, "execution_count": 30, "metadata": {}, "output_type": "execute_result" } ], "source": [ "preds" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# TinyTimeMixerForecaster" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "- **Title:** [ENH] Interface to TinyTimeMixer Foundation Model\n", "- **Status:** Merged\n", "- **Pull Request:** [#6712](https://github.com/sktime/sktime/pull/6712)\n", "- **Related Issue:** [#6698](https://github.com/sktime/sktime/issues/6698)\n", "- **Research Paper:** [Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series](https://www.researchgate.net/profile/Vijay-Ekambaram/publication/381111250_Tiny_Time_Mixers_TTMs_Fast_Pre-trained_Models_for_Enhanced_ZeroFew-Shot_Forecasting_of_Multivariate_Time_Series/links/665d8c5d0b0d2845747de5f5/Tiny-Time-Mixers-TTMs-Fast-Pre-trained-Models-for-Enhanced-Zero-Few-Shot-Forecasting-of-Multivariate-Time-Series.pdf)\n", "- **Official Code:** [ibm-granite/granite-tsfm](https://github.com/ibm-granite/granite-tsfm)\n", "- **Sktime Source Code:** [sktime/forecasting/ttm.py](https://github.com/sktime/sktime/blob/main/sktime/forecasting/ttm.py)\n", "\n", "TinyTimeMixer (TTM) is a compact, pre-trained model for time-series forecasting, developed and open-sourced by IBM Research.\n", "\n", "In this PR, I integrated TTM into the sktime framework by forking the official code into the [sktime/libs/granite_ttm](https://github.com/sktime/sktime/pull/6712/files#diff-b3059a73c53cb90d9ba1a01f34ded57098aa285d85d170320011e39474fc4ca9) directory, as the source package was not available on PyPI.\n", "\n", "Next, I developed an interface for the estimator within the [`TinyTimeMixerForecaster`](https://github.com/sktime/sktime/pull/6712/files#diff-0a25dac16832f47a85e6d03327d4270510efa529cf0e42e1fc71786dde192711) class.\n", "\n", "Throughout this implementation, I gained valuable experience in creating custom Hugging Face models and configurations, loading and modifying weights, altering architecture, and training newly initialized weights." ] }, { "cell_type": "code", "execution_count": 31, "metadata": {}, "outputs": [], "source": [ "from sktime.forecasting.ttm import TinyTimeMixerForecaster\n", "\n", "y = load_airline()\n", "\n", "model = TinyTimeMixerForecaster(\n", " config={\n", " \"context_length\": 20,\n", " \"prediction_length\": 10,\n", " },\n", " training_args={\n", " \"num_train_epochs\": 100,\n", " \"output_dir\": \"test_output\",\n", " \"per_device_train_batch_size\": 32,\n", " \"report_to\": \"none\",\n", " \"learning_rate\": 1e-2,\n", " },\n", ")" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "%%capture\n", "\n", "model.fit(y, fh=list(range(1, 11)))\n", "preds = model.predict()" ] }, { "cell_type": "code", "execution_count": 33, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(
,\n", " )" ] }, "execution_count": 33, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_series(y, preds)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "`TinyTimeMixerForecaster` also supports Global Forecasting" ] }, { "cell_type": "code", "execution_count": 34, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "True" ] }, "execution_count": 34, "metadata": {}, "output_type": "execute_result" } ], "source": [ "forecaster.get_class_tag(\"capability:global_forecasting\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "%%capture\n", "\n", "# Preparing the data\n", "y = _make_hierarchical(\n", " hierarchy_levels=(2, 5), max_timepoints=100, min_timepoints=100, n_columns=2\n", ")\n", "y_train, y_test = train_test_split(\n", " y, test_size=0.1, shuffle=False\n", ")\n", "y_test = y_test.groupby(level=0).apply(\n", " lambda x: x.droplevel(0).iloc[:-4]\n", ")\n", "\n", "# Loading the model\n", "model = TinyTimeMixerForecaster(\n", " config={\n", " \"context_length\": 20,\n", " \"prediction_length\": 10,\n", " },\n", " training_args={\n", " \"num_train_epochs\": 1,\n", " \"output_dir\": \"test_output\",\n", " \"per_device_train_batch_size\": 32,\n", " \"report_to\": \"none\",\n", " \"learning_rate\": 1e-2,\n", " },\n", "\tbroadcasting=False,\n", ")\n", "\n", "# fit and forecast\n", "model.fit(y_train, fh=[1, 2, 3, 4])\n", "preds = model.predict(y=y_test)" ] }, { "cell_type": "code", "execution_count": 36, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " c0 c1\n", "h0 h1 time \n", "h0_1 h1_4 2000-04-06 4.120028 4.049014\n", " 2000-04-07 4.238961 4.212027\n", " 2000-04-08 4.158207 4.146166\n", " 2000-04-09 4.054813 4.178536" ] }, "execution_count": 36, "metadata": {}, "output_type": "execute_result" } ], "source": [ "preds" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "dev", "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": "3.10.14" } }, "nbformat": 4, "nbformat_minor": 2 }