diff options
-rw-r--r-- | README.md | 20 | ||||
-rw-r--r-- | notebooks/2024-08-31-espp-model.ipynb | 123 | ||||
-rw-r--r-- | notebooks/2024-08-31-espp-model.py | 116 | ||||
-rw-r--r-- | notebooks/2024-11-29-election-petition.ipynb | 591 | ||||
-rw-r--r-- | notebooks/2024-11-29-election-petition.py | 286 | ||||
-rw-r--r-- | outputs/2024-08-31-espp-model.html | 92 | ||||
-rw-r--r-- | outputs/2024-11-29-election-petition.html | 92 | ||||
-rw-r--r-- | poetry.lock | 2790 | ||||
-rw-r--r-- | pyproject.toml | 20 | ||||
-rw-r--r-- | src/analysis/__init__.py | 0 | ||||
-rw-r--r-- | tests/__init__.py | 0 |
11 files changed, 606 insertions, 3524 deletions
@@ -1,3 +1,23 @@ # Analysis A collection of one-off analyses on a variety of topics. + +## Usage + +Edit a notebook with + +```shell +uvx marimo edit --sandbox --headless notebooks/notebook.py +``` + +Run a notebook as an app with + +```shell +uvx marimo run --sandbox --headless notebooks/notebook.py +``` + +Convert a notebook to HTML with + +```shell +uvx marimo export html notebooks/notebook.py -o outputs/notebook.html --sandbox --no-include-code +``` diff --git a/notebooks/2024-08-31-espp-model.ipynb b/notebooks/2024-08-31-espp-model.ipynb deleted file mode 100644 index 388231c..0000000 --- a/notebooks/2024-08-31-espp-model.ipynb +++ /dev/null @@ -1,123 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Modelling SentinelOne's Employee Stock Purchase Plan" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import warnings\n", - "\n", - "import numpy as np\n", - "import seaborn as sns\n", - "from matplotlib import pyplot as plt\n", - "\n", - "sns.set_style(\"ticks\")\n", - "\n", - "warnings.filterwarnings(\"ignore\", category=UserWarning)\n", - "\n", - "DISCOUNT = 0.15 # Discount on stock price\n", - "MONTHLY_INVESTMENT = 1300 # About £1,000\n", - "PERIOD = 6 # Months\n", - "TAX_RATE = 0.45 # UK additional rate\n", - "TOTAL_INVESTMENT = MONTHLY_INVESTMENT * PERIOD\n", - "PRICE_MIN = 15\n", - "PRICE_MAX = 30" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "initial_price = np.arange(PRICE_MAX, PRICE_MIN - 0.1, -1)\n", - "final_price = np.arange(PRICE_MIN, PRICE_MAX + 0.1, 1)\n", - "initial_price_matrix = np.tile(initial_price[:, np.newaxis], len(final_price))\n", - "final_price_matrix = np.tile(final_price, (len(initial_price), 1))\n", - "purchase_price = np.where(final_price_matrix < initial_price_matrix, final_price_matrix, initial_price_matrix) * (1 - DISCOUNT)\n", - "shares_purchased = np.floor(TOTAL_INVESTMENT / purchase_price)\n", - "profit_after_tax = shares_purchased * (final_price_matrix - purchase_price) * (1 - TAX_RATE)" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "<Figure size 1000x800 with 2 Axes>" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig, ax = plt.subplots(figsize=(10, 8))\n", - "\n", - "sns.heatmap(\n", - " profit_after_tax,\n", - " xticklabels=final_price,\n", - " yticklabels=initial_price,\n", - " annot=False,\n", - " cmap=\"viridis\",\n", - " cbar_kws={\"label\": \"Profit\"},\n", - " vmin=0,\n", - " vmax=np.ceil(profit_after_tax.max() / 100) * 100,\n", - " ax=ax,\n", - ")\n", - "\n", - "# Set colorbar labels\n", - "cbar = ax.collections[0].colorbar\n", - "cbar.set_ticklabels([\"${:,g}\".format(x) for x in cbar.get_ticks()])\n", - "\n", - "# # Set corresponding tick labels\n", - "ax.set_xticklabels([f\"${final_price[i]:.0f}\" for i, _ in enumerate(ax.get_xticks())])\n", - "ax.set_yticklabels([f\"${initial_price[i]:.0f}\" for i, _ in enumerate(ax.get_yticks())])\n", - "\n", - "# Rotate x tick labels\n", - "ax.tick_params(axis=\"x\", rotation=0)\n", - "ax.tick_params(axis=\"y\", rotation=0)\n", - "\n", - "# Set axis labels\n", - "ax.set_xlabel(\"Final price\")\n", - "ax.set_ylabel(\"Initial price\")\n", - "ax.set_title(f\"ESPP Profit After Tax\\nTotal Investment: ${TOTAL_INVESTMENT:,g} Over {PERIOD} Months\\nMinumum Profit: ${np.min(profit_after_tax):,.2f}\")\n", - "\n", - "plt.show()" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": ".venv", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.4" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/notebooks/2024-08-31-espp-model.py b/notebooks/2024-08-31-espp-model.py new file mode 100644 index 0000000..50c340d --- /dev/null +++ b/notebooks/2024-08-31-espp-model.py @@ -0,0 +1,116 @@ +# /// script +# requires-python = ">=3.13" +# dependencies = [ +# "marimo", +# "matplotlib==3.10.5", +# "numpy==2.3.2", +# "seaborn==0.13.2", +# ] +# /// + +import marimo + +__generated_with = "0.14.17" +app = marimo.App() + + +@app.cell(hide_code=True) +def _(mo): + mo.md(r"""# Modelling SentinelOne's Employee Stock Purchase Plan""") + return + + +@app.cell +def _(): + import warnings + + import marimo as mo + import numpy as np + import seaborn as sns + from matplotlib import pyplot as plt + + sns.set_style("ticks") + + warnings.filterwarnings("ignore", category=UserWarning) + + DISCOUNT = 0.15 # Discount on stock price + MONTHLY_INVESTMENT = 1300 # About £1,000 + PERIOD = 6 # Months + TAX_RATE = 0.45 # UK additional rate + TOTAL_INVESTMENT = MONTHLY_INVESTMENT * PERIOD + PRICE_MIN = 15 + PRICE_MAX = 30 + return ( + DISCOUNT, + PERIOD, + PRICE_MAX, + PRICE_MIN, + TAX_RATE, + TOTAL_INVESTMENT, + mo, + np, + plt, + sns, + ) + + +@app.cell +def _(DISCOUNT, PRICE_MAX, PRICE_MIN, TAX_RATE, TOTAL_INVESTMENT, np): + initial_price = np.arange(PRICE_MAX, PRICE_MIN - 0.1, -1) + final_price = np.arange(PRICE_MIN, PRICE_MAX + 0.1, 1) + initial_price_matrix = np.tile(initial_price[:, np.newaxis], len(final_price)) + final_price_matrix = np.tile(final_price, (len(initial_price), 1)) + purchase_price = np.where(final_price_matrix < initial_price_matrix, final_price_matrix, initial_price_matrix) * (1 - DISCOUNT) + shares_purchased = np.floor(TOTAL_INVESTMENT / purchase_price) + profit_after_tax = shares_purchased * (final_price_matrix - purchase_price) * (1 - TAX_RATE) + return final_price, initial_price, profit_after_tax + + +@app.cell +def _( + PERIOD, + TOTAL_INVESTMENT, + final_price, + initial_price, + np, + plt, + profit_after_tax, + sns, +): + fig, ax = plt.subplots(figsize=(10, 8)) + + sns.heatmap( + profit_after_tax, + xticklabels=final_price, + yticklabels=initial_price, + annot=False, + cmap="viridis", + cbar_kws={"label": "Profit"}, + vmin=0, + vmax=np.ceil(profit_after_tax.max() / 100) * 100, + ax=ax, + ) + + # Set colorbar labels + cbar = ax.collections[0].colorbar + cbar.set_ticklabels(["${:,g}".format(x) for x in cbar.get_ticks()]) + + # # Set corresponding tick labels + ax.set_xticklabels([f"${final_price[i]:.0f}" for i, _ in enumerate(ax.get_xticks())]) + ax.set_yticklabels([f"${initial_price[i]:.0f}" for i, _ in enumerate(ax.get_yticks())]) + + # Rotate x tick labels + ax.tick_params(axis="x", rotation=0) + ax.tick_params(axis="y", rotation=0) + + # Set axis labels + ax.set_xlabel("Final price") + ax.set_ylabel("Initial price") + ax.set_title(f"ESPP Profit After Tax\nTotal Investment: ${TOTAL_INVESTMENT:,g} Over {PERIOD} Months\nMinumum Profit: ${np.min(profit_after_tax):,.2f}") + + fig + return + + +if __name__ == "__main__": + app.run() diff --git a/notebooks/2024-11-29-election-petition.ipynb b/notebooks/2024-11-29-election-petition.ipynb deleted file mode 100644 index a0fcae2..0000000 --- a/notebooks/2024-11-29-election-petition.ipynb +++ /dev/null @@ -1,591 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Analysing the Petition for a General Election\n", - "\n", - "2024 general election results where downloaded from [here](https://commonslibrary.parliament.uk/research-briefings/cbp-10009/) on 29 November 2024. Petition results were downloaded using the following command on 29 November 2024:\n", - "\n", - "```shell\n", - "curl https://petition.parliament.uk/petitions/700143.json | jq > data/election-petition-results.json\n", - "```" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import json\n", - "from pathlib import Path\n", - "\n", - "import matplotlib.pyplot as plt\n", - "import pandas as pd\n", - "import seaborn as sns\n", - "from dotenv import find_dotenv\n", - "\n", - "ROOT_DIR = Path(find_dotenv(\"pyproject.toml\")).parent\n", - "DATA_DIR = ROOT_DIR / \"data\"\n", - "ELECTION_RESULTS_PATH = DATA_DIR / \"election-petition\" / \"HoC-GE2024-results-by-candidate.csv\"\n", - "PETITION_RESULTS_PATH = DATA_DIR / \"election-petition\" / \"election-petition-results.json\"\n", - "\n", - "TOP_PARTIES = [\n", - " \"Conservative\",\n", - " \"Labour\",\n", - " \"Liberal Democrat\",\n", - " \"Reform UK\",\n", - " \"Green\",\n", - " \"Scottish National Party\",\n", - " \"Plaid Cymru\",\n", - " \"Independent\",\n", - "]\n", - "\n", - "PARTY_COLOURS = {\n", - " \"Conservative\": \"#0087DC\",\n", - " \"Labour\": \"#E4003B\",\n", - " \"Liberal Democrat\": \"#FAA61A\",\n", - " \"Reform UK\": \"#12B6CF\",\n", - " \"Green\": \"#02A95B\",\n", - " \"Scottish National Party\": \"#FDF38E\",\n", - " \"Plaid Cymru\": \"#005B54\",\n", - " \"Independent\": \"grey\",\n", - "}\n", - "\n", - "sns.set_style(\"ticks\")\n", - "sns.set_palette(PARTY_COLOURS.values())" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Total petition signatures: 2,886,188\n", - "Total petition signatures from per-consituency counts: 2,831,513\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/tmp/ipykernel_59936/2971000648.py:54: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", - " .fillna({\"winner\": False})\n" - ] - } - ], - "source": [ - "with PETITION_RESULTS_PATH.open(\"r\", encoding=\"utf-8\") as f:\n", - " petition_results_json = json.load(f)\n", - "\n", - "petition_results_df = (\n", - " pd.DataFrame.from_records(\n", - " petition_results_json[\"data\"][\"attributes\"][\"signatures_by_constituency\"],\n", - " exclude=[\"name\", \"mp\"],\n", - " )\n", - " .rename(columns={\"ons_code\": \"ons_id\"})\n", - ")\n", - "\n", - "df = (\n", - " pd.read_csv(\n", - " ELECTION_RESULTS_PATH,\n", - " header=0,\n", - " usecols=[\n", - " \"ONS ID\",\n", - " \"Constituency name\",\n", - " \"Region name\",\n", - " \"Party name\",\n", - " \"Votes\",\n", - " \"Share\",\n", - " ]\n", - " )\n", - " .rename(columns={\n", - " \"ONS ID\": \"ons_id\",\n", - " \"Constituency name\": \"constituency\",\n", - " \"Region name\": \"region\",\n", - " \"Party name\": \"party\",\n", - " \"Votes\": \"votes\",\n", - " \"Share\": \"share\",\n", - " })\n", - " .replace({\"party\": {\"Labour and Co-operative\": \"Labour\"}}) # Labour in Wales\n", - " .merge(petition_results_df, on=\"ons_id\", how=\"left\")\n", - ")\n", - "\n", - "df = (\n", - " df\n", - " .join(df.groupby(\"ons_id\")[\"votes\"].sum().rename(\"total_votes\"), how=\"left\", on=\"ons_id\")\n", - " .assign(signatures_per_vote=lambda x: x[\"signature_count\"] / x[\"total_votes\"])\n", - ")\n", - "\n", - "df = (\n", - " df.merge(\n", - " df\n", - " .sort_values(\"votes\", ascending=False)\n", - " .groupby(\"ons_id\")\n", - " .first()[[\"party\", \"votes\"]]\n", - " .assign(winner=True)\n", - " .reset_index(),\n", - " on=[\"ons_id\", \"party\", \"votes\"],\n", - " how=\"left\",\n", - " )\n", - " .fillna({\"winner\": False})\n", - ")\n", - "\n", - "print(f'Total petition signatures: {petition_results_json[\"data\"][\"attributes\"][\"signature_count\"]:,d}')\n", - "print(f'Total petition signatures from per-consituency counts: {df.groupby(\"ons_id\")[\"signature_count\"].max().sum():,d}')" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "<div>\n", - "<style scoped>\n", - " .dataframe tbody tr th:only-of-type {\n", - " vertical-align: middle;\n", - " }\n", - "\n", - " .dataframe tbody tr th {\n", - " vertical-align: top;\n", - " }\n", - "\n", - " .dataframe thead th {\n", - " text-align: right;\n", - " }\n", - "</style>\n", - "<table border=\"1\" class=\"dataframe\">\n", - " <thead>\n", - " <tr style=\"text-align: right;\">\n", - " <th></th>\n", - " <th>ons_id</th>\n", - " <th>constituency</th>\n", - " <th>region</th>\n", - " <th>party</th>\n", - " <th>votes</th>\n", - " <th>share</th>\n", - " <th>signature_count</th>\n", - " <th>total_votes</th>\n", - " <th>signatures_per_vote</th>\n", - " <th>winner</th>\n", - " </tr>\n", - " </thead>\n", - " <tbody>\n", - " <tr>\n", - " <th>0</th>\n", - " <td>W07000081</td>\n", - " <td>Aberafan Maesteg</td>\n", - " <td>Wales</td>\n", - " <td>Heritage Party</td>\n", - " <td>183</td>\n", - " <td>0.005118</td>\n", - " <td>3444</td>\n", - " <td>35755</td>\n", - " <td>0.096322</td>\n", - " <td>False</td>\n", - " </tr>\n", - " <tr>\n", - " <th>1</th>\n", - " <td>W07000081</td>\n", - " <td>Aberafan Maesteg</td>\n", - " <td>Wales</td>\n", - " <td>Independent</td>\n", - " <td>618</td>\n", - " <td>0.017284</td>\n", - " <td>3444</td>\n", - " <td>35755</td>\n", - " <td>0.096322</td>\n", - " <td>False</td>\n", - " </tr>\n", - " <tr>\n", - " <th>2</th>\n", - " <td>W07000081</td>\n", - " <td>Aberafan Maesteg</td>\n", - " <td>Wales</td>\n", - " <td>Liberal Democrat</td>\n", - " <td>916</td>\n", - " <td>0.025619</td>\n", - " <td>3444</td>\n", - " <td>35755</td>\n", - " <td>0.096322</td>\n", - " <td>False</td>\n", - " </tr>\n", - " <tr>\n", - " <th>3</th>\n", - " <td>W07000081</td>\n", - " <td>Aberafan Maesteg</td>\n", - " <td>Wales</td>\n", - " <td>Green</td>\n", - " <td>1094</td>\n", - " <td>0.030597</td>\n", - " <td>3444</td>\n", - " <td>35755</td>\n", - " <td>0.096322</td>\n", - " <td>False</td>\n", - " </tr>\n", - " <tr>\n", - " <th>4</th>\n", - " <td>W07000081</td>\n", - " <td>Aberafan Maesteg</td>\n", - " <td>Wales</td>\n", - " <td>Conservative</td>\n", - " <td>2903</td>\n", - " <td>0.081191</td>\n", - " <td>3444</td>\n", - " <td>35755</td>\n", - " <td>0.096322</td>\n", - " <td>False</td>\n", - " </tr>\n", - " <tr>\n", - " <th>...</th>\n", - " <td>...</td>\n", - " <td>...</td>\n", - " <td>...</td>\n", - " <td>...</td>\n", - " <td>...</td>\n", - " <td>...</td>\n", - " <td>...</td>\n", - " <td>...</td>\n", - " <td>...</td>\n", - " <td>...</td>\n", - " </tr>\n", - " <tr>\n", - " <th>4510</th>\n", - " <td>E14001605</td>\n", - " <td>York Outer</td>\n", - " <td>Yorkshire and The Humber</td>\n", - " <td>Green</td>\n", - " <td>2212</td>\n", - " <td>0.043283</td>\n", - " <td>4135</td>\n", - " <td>51106</td>\n", - " <td>0.080910</td>\n", - " <td>False</td>\n", - " </tr>\n", - " <tr>\n", - " <th>4511</th>\n", - " <td>E14001605</td>\n", - " <td>York Outer</td>\n", - " <td>Yorkshire and The Humber</td>\n", - " <td>Liberal Democrat</td>\n", - " <td>5496</td>\n", - " <td>0.107541</td>\n", - " <td>4135</td>\n", - " <td>51106</td>\n", - " <td>0.080910</td>\n", - " <td>False</td>\n", - " </tr>\n", - " <tr>\n", - " <th>4512</th>\n", - " <td>E14001605</td>\n", - " <td>York Outer</td>\n", - " <td>Yorkshire and The Humber</td>\n", - " <td>Reform UK</td>\n", - " <td>5912</td>\n", - " <td>0.115681</td>\n", - " <td>4135</td>\n", - " <td>51106</td>\n", - " <td>0.080910</td>\n", - " <td>False</td>\n", - " </tr>\n", - " <tr>\n", - " <th>4513</th>\n", - " <td>E14001605</td>\n", - " <td>York Outer</td>\n", - " <td>Yorkshire and The Humber</td>\n", - " <td>Conservative</td>\n", - " <td>13770</td>\n", - " <td>0.269440</td>\n", - " <td>4135</td>\n", - " <td>51106</td>\n", - " <td>0.080910</td>\n", - " <td>False</td>\n", - " </tr>\n", - " <tr>\n", - " <th>4514</th>\n", - " <td>E14001605</td>\n", - " <td>York Outer</td>\n", - " <td>Yorkshire and The Humber</td>\n", - " <td>Labour</td>\n", - " <td>23161</td>\n", - " <td>0.453195</td>\n", - " <td>4135</td>\n", - " <td>51106</td>\n", - " <td>0.080910</td>\n", - " <td>True</td>\n", - " </tr>\n", - " </tbody>\n", - "</table>\n", - "<p>4515 rows × 10 columns</p>\n", - "</div>" - ], - "text/plain": [ - " ons_id constituency region party \\\n", - "0 W07000081 Aberafan Maesteg Wales Heritage Party \n", - "1 W07000081 Aberafan Maesteg Wales Independent \n", - "2 W07000081 Aberafan Maesteg Wales Liberal Democrat \n", - "3 W07000081 Aberafan Maesteg Wales Green \n", - "4 W07000081 Aberafan Maesteg Wales Conservative \n", - "... ... ... ... ... \n", - "4510 E14001605 York Outer Yorkshire and The Humber Green \n", - "4511 E14001605 York Outer Yorkshire and The Humber Liberal Democrat \n", - "4512 E14001605 York Outer Yorkshire and The Humber Reform UK \n", - "4513 E14001605 York Outer Yorkshire and The Humber Conservative \n", - "4514 E14001605 York Outer Yorkshire and The Humber Labour \n", - "\n", - " votes share signature_count total_votes signatures_per_vote \\\n", - "0 183 0.005118 3444 35755 0.096322 \n", - "1 618 0.017284 3444 35755 0.096322 \n", - "2 916 0.025619 3444 35755 0.096322 \n", - "3 1094 0.030597 3444 35755 0.096322 \n", - "4 2903 0.081191 3444 35755 0.096322 \n", - "... ... ... ... ... ... \n", - "4510 2212 0.043283 4135 51106 0.080910 \n", - "4511 5496 0.107541 4135 51106 0.080910 \n", - "4512 5912 0.115681 4135 51106 0.080910 \n", - "4513 13770 0.269440 4135 51106 0.080910 \n", - "4514 23161 0.453195 4135 51106 0.080910 \n", - "\n", - " winner \n", - "0 False \n", - "1 False \n", - "2 False \n", - "3 False \n", - "4 False \n", - "... ... \n", - "4510 False \n", - "4511 False \n", - "4512 False \n", - "4513 False \n", - "4514 True \n", - "\n", - "[4515 rows x 10 columns]" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "<Figure size 640x480 with 1 Axes>" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "ax = sns.histplot(\n", - " df.groupby(\"ons_id\")[\"signature_count\"].max()\n", - ")\n", - "ax.set(xlabel=\"Signatures\", ylabel=\"Constituencies\", title=\"Distribution of Petition Signatures by Constituency\")\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "<Figure size 900x300 with 3 Axes>" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "top_n = 3\n", - "g = sns.displot(\n", - " df[df[\"winner\"] & (df[\"party\"].isin(TOP_PARTIES[:top_n]))],\n", - " kind=\"hist\",\n", - " x=\"signature_count\",\n", - " hue=\"party\",\n", - " hue_order=TOP_PARTIES[:top_n],\n", - " col=\"party\",\n", - " col_order=TOP_PARTIES[:top_n],\n", - " height=3,\n", - " legend=False,\n", - ").set_titles(\"{col_name}\").set_axis_labels(\"Signatures\", \"Constituencies\")\n", - "\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "<Figure size 900x300 with 3 Axes>" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "top_n = 3\n", - "g = sns.displot(\n", - " df[df[\"winner\"] & (df[\"party\"].isin(TOP_PARTIES[:top_n]))],\n", - " kind=\"hist\",\n", - " x=\"signatures_per_vote\",\n", - " hue=\"party\",\n", - " hue_order=TOP_PARTIES[:top_n],\n", - " col=\"party\",\n", - " col_order=TOP_PARTIES[:top_n],\n", - " height=3,\n", - " legend=False,\n", - ").set_titles(\"{col_name}\").set_axis_labels(\"Signatures per Vote\", \"Constituencies\")\n", - "\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "<Figure size 1200x600 with 8 Axes>" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "sns.lmplot(\n", - " df[df[\"party\"].isin(TOP_PARTIES)],\n", - " x=\"votes\",\n", - " y=\"signature_count\",\n", - " col=\"party\",\n", - " col_wrap=4,\n", - " col_order=TOP_PARTIES,\n", - " hue=\"party\",\n", - " hue_order=TOP_PARTIES,\n", - " height=3,\n", - ").set_titles(\"{col_name}\").set_axis_labels(\"2024 General Election Votes\", \"Petition Signatures\")\n", - "\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "<Figure size 1200x600 with 8 Axes>" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "sns.lmplot(\n", - " df[df[\"party\"].isin(TOP_PARTIES)],\n", - " x=\"share\",\n", - " y=\"signature_count\",\n", - " col=\"party\",\n", - " col_wrap=4,\n", - " col_order=TOP_PARTIES,\n", - " hue=\"party\",\n", - " hue_order=TOP_PARTIES,\n", - " height=3,\n", - ").set_titles(\"{col_name}\").set_axis_labels(\"2024 General Election Vote Share\", \"Petition Signatures\")\n", - "\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "<Figure size 1200x600 with 8 Axes>" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "sns.lmplot(\n", - " df[df[\"party\"].isin(TOP_PARTIES)],\n", - " x=\"share\",\n", - " y=\"signatures_per_vote\",\n", - " col=\"party\",\n", - " col_wrap=4,\n", - " col_order=TOP_PARTIES,\n", - " hue=\"party\",\n", - " hue_order=TOP_PARTIES,\n", - " height=3,\n", - ").set_titles(\"{col_name}\").set_axis_labels(\"2024 General Election Vote Share\", \"Petition Signatures per Vote\")\n", - "\n", - "plt.show()" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": ".venv", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.7" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/notebooks/2024-11-29-election-petition.py b/notebooks/2024-11-29-election-petition.py new file mode 100644 index 0000000..0666c7f --- /dev/null +++ b/notebooks/2024-11-29-election-petition.py @@ -0,0 +1,286 @@ +# /// script +# requires-python = ">=3.13" +# dependencies = [ +# "marimo", +# "matplotlib==3.10.5", +# "pandas==2.3.1", +# "python-dotenv==1.1.1", +# "seaborn==0.13.2", +# ] +# /// + +import marimo + +__generated_with = "0.14.17" +app = marimo.App() + + +@app.cell(hide_code=True) +def _(mo): + mo.md( + r""" + # Analysing the Petition for a General Election + + 2024 general election results where downloaded from [here](https://commonslibrary.parliament.uk/research-briefings/cbp-10009/) on 29 November 2024. Petition results were downloaded using the following command on 29 November 2024: + + ```shell + curl https://petition.parliament.uk/petitions/700143.json | jq > data/election-petition-results.json + ``` + """ + ) + return + + +@app.cell +def _(): + import json + from pathlib import Path + + import marimo as mo + import matplotlib.pyplot as plt + import pandas as pd + import seaborn as sns + from dotenv import find_dotenv + + ROOT_DIR = Path(find_dotenv("pyproject.toml")).parent + DATA_DIR = ROOT_DIR / "data" + ELECTION_RESULTS_PATH = DATA_DIR / "election-petition" / "HoC-GE2024-results-by-candidate.csv" + PETITION_RESULTS_PATH = DATA_DIR / "election-petition" / "election-petition-results.json" + + TOP_PARTIES = [ + "Conservative", + "Labour", + "Liberal Democrat", + "Reform UK", + "Green", + "Scottish National Party", + "Plaid Cymru", + "Independent", + ] + + PARTY_COLOURS = { + "Conservative": "#0087DC", + "Labour": "#E4003B", + "Liberal Democrat": "#FAA61A", + "Reform UK": "#12B6CF", + "Green": "#02A95B", + "Scottish National Party": "#FDF38E", + "Plaid Cymru": "#005B54", + "Independent": "grey", + } + + sns.set_style("ticks") + sns.set_palette(PARTY_COLOURS.values()) + return ( + ELECTION_RESULTS_PATH, + PETITION_RESULTS_PATH, + TOP_PARTIES, + json, + mo, + pd, + sns, + ) + + +@app.cell +def _(ELECTION_RESULTS_PATH, PETITION_RESULTS_PATH, json, pd): + with PETITION_RESULTS_PATH.open("r", encoding="utf-8") as f: + petition_results_json = json.load(f) + + petition_results_df = ( + pd.DataFrame.from_records( + petition_results_json["data"]["attributes"]["signatures_by_constituency"], + exclude=["name", "mp"], + ) + .rename(columns={"ons_code": "ons_id"}) + ) + + df = ( + pd.read_csv( + ELECTION_RESULTS_PATH, + header=0, + usecols=[ + "ONS ID", + "Constituency name", + "Region name", + "Party name", + "Votes", + "Share", + ] + ) + .rename(columns={ + "ONS ID": "ons_id", + "Constituency name": "constituency", + "Region name": "region", + "Party name": "party", + "Votes": "votes", + "Share": "share", + }) + .replace({"party": {"Labour and Co-operative": "Labour"}}) # Labour in Wales + .merge(petition_results_df, on="ons_id", how="left") + ) + + df = ( + df + .join(df.groupby("ons_id")["votes"].sum().rename("total_votes"), how="left", on="ons_id") + .assign(signatures_per_vote=lambda x: x["signature_count"] / x["total_votes"]) + ) + + df = ( + df.merge( + df + .sort_values("votes", ascending=False) + .groupby("ons_id") + .first()[["party", "votes"]] + .assign(winner=True) + .reset_index(), + on=["ons_id", "party", "votes"], + how="left", + ) + .fillna({"winner": False}) + ) + + print(f'Total petition signatures: {petition_results_json["data"]["attributes"]["signature_count"]:,d}') + print(f'Total petition signatures from per-consituency counts: {df.groupby("ons_id")["signature_count"].max().sum():,d}') + return (df,) + + +@app.cell +def _(df): + df + return + + +@app.cell +def _(df, sns): + ax = sns.histplot( + df.groupby("ons_id")["signature_count"].max() + ) + ax.set(xlabel="Signatures", ylabel="Constituencies", title="Distribution of Petition Signatures by Constituency") + ax + return + + +@app.cell +def _(mo): + mo.md(r"""### Signature Distribution""") + return + + +@app.cell +def _(TOP_PARTIES, df, sns): + _top_n = 3 + _g = sns.displot( + df[df['winner'] & df['party'].isin(TOP_PARTIES[:_top_n])], + kind='hist', + x='signature_count', + hue='party', + hue_order=TOP_PARTIES[:_top_n], + col='party', + col_order=TOP_PARTIES[:_top_n], + height=3, + legend=False, + ).set_titles('{col_name}').set_axis_labels('Signatures', 'Constituencies') + _g.figure + return + + +@app.cell +def _(mo): + mo.md(r"""### Signatures per 2024 General Election Vote""") + return + + +@app.cell +def _(TOP_PARTIES, df, sns): + _top_n = 3 + _g = ( + sns.displot( + df[df["winner"] & df["party"].isin(TOP_PARTIES[:_top_n])], + kind="hist", + x="signatures_per_vote", + hue="party", + hue_order=TOP_PARTIES[:_top_n], + col="party", + col_order=TOP_PARTIES[:_top_n], + height=3, + legend=False, + ) + .set_titles("{col_name}") + .set_axis_labels("Signatures per Vote", "Constituencies") + ) + _g.figure + return + + +@app.cell +def _(mo): + mo.md(r"""### Signatures vs. Votes""") + return + + +@app.cell +def _(TOP_PARTIES, df, sns): + _g = sns.lmplot( + df[df["party"].isin(TOP_PARTIES)], + x="votes", + y="signature_count", + col="party", + col_wrap=4, + col_order=TOP_PARTIES, + hue="party", + hue_order=TOP_PARTIES, + height=3, + ).set_titles("{col_name}").set_axis_labels("2024 General Election Votes", "Petition Signatures") + _g.figure + return + + +@app.cell +def _(mo): + mo.md(r"""### Signatures vs. Vote Share""") + return + + +@app.cell +def _(TOP_PARTIES, df, sns): + _g = sns.lmplot( + df[df["party"].isin(TOP_PARTIES)], + x="share", + y="signature_count", + col="party", + col_wrap=4, + col_order=TOP_PARTIES, + hue="party", + hue_order=TOP_PARTIES, + height=3, + ).set_titles("{col_name}").set_axis_labels("2024 General Election Vote Share", "Petition Signatures") + _g.figure + return + + +@app.cell +def _(mo): + mo.md(r"""### Signatures per Vote vs. Vote Share""") + return + + +@app.cell +def _(TOP_PARTIES, df, sns): + _g = sns.lmplot( + df[df["party"].isin(TOP_PARTIES)], + x="share", + y="signatures_per_vote", + col="party", + col_wrap=4, + col_order=TOP_PARTIES, + hue="party", + hue_order=TOP_PARTIES, + height=3, + ).set_titles("{col_name}").set_axis_labels("2024 General Election Vote Share", "Petition Signatures per Vote") + _g.figure + return + + +if __name__ == "__main__": + app.run() diff --git a/outputs/2024-08-31-espp-model.html b/outputs/2024-08-31-espp-model.html new file mode 100644 index 0000000..36df4ed --- /dev/null +++ b/outputs/2024-08-31-espp-model.html @@ -0,0 +1,92 @@ +<!DOCTYPE html> +<html lang="en"> + <head> + <meta charset="utf-8" /> + <link rel="icon" crossorigin="anonymous" href="https://cdn.jsdelivr.net/npm/@marimo-team/frontend@0.14.17/dist/favicon.ico" /> + <!-- Preload is necessary because we show these images when we disconnect from the server, + but at that point we cannot load these images from the server --> + <link rel="preload" crossorigin="anonymous" href="https://cdn.jsdelivr.net/npm/@marimo-team/frontend@0.14.17/dist/assets/gradient-yHQUC_QB.png" as="image" /> + <link rel="preload" crossorigin="anonymous" href="https://cdn.jsdelivr.net/npm/@marimo-team/frontend@0.14.17/dist/assets/noise-60BoTA8O.png" as="image" /> + <!-- Preload the fonts --> + <link rel="preload" crossorigin="anonymous" href="https://cdn.jsdelivr.net/npm/@marimo-team/frontend@0.14.17/dist/assets/Lora-VariableFont_wght-B2ootaw-.ttf" as="font" crossorigin="anonymous" /> + <link rel="preload" crossorigin="anonymous" href="https://cdn.jsdelivr.net/npm/@marimo-team/frontend@0.14.17/dist/assets/PTSans-Regular-CxL0S8W7.ttf" as="font" crossorigin="anonymous" /> + <link rel="preload" crossorigin="anonymous" href="https://cdn.jsdelivr.net/npm/@marimo-team/frontend@0.14.17/dist/assets/PTSans-Bold-D9fedIX3.ttf" as="font" crossorigin="anonymous" /> + <link rel="preload" crossorigin="anonymous" href="https://cdn.jsdelivr.net/npm/@marimo-team/frontend@0.14.17/dist/assets/FiraMono-Regular-BTCkDNvf.ttf" as="font" crossorigin="anonymous" /> + <link rel="preload" crossorigin="anonymous" href="https://cdn.jsdelivr.net/npm/@marimo-team/frontend@0.14.17/dist/assets/FiraMono-Medium-DU3aDxX5.ttf" as="font" crossorigin="anonymous" /> + <link rel="preload" crossorigin="anonymous" href="https://cdn.jsdelivr.net/npm/@marimo-team/frontend@0.14.17/dist/assets/FiraMono-Bold-CLVRCuM9.ttf" as="font" crossorigin="anonymous" /> + + <meta name="viewport" content="width=device-width, initial-scale=1" /> + <meta name="theme-color" content="#000000" /> + <meta name="description" content="a marimo app" /> + <link rel="apple-touch-icon" crossorigin="anonymous" href="https://cdn.jsdelivr.net/npm/@marimo-team/frontend@0.14.17/dist/apple-touch-icon.png" /> + <link rel="manifest" crossorigin="anonymous" href="https://cdn.jsdelivr.net/npm/@marimo-team/frontend@0.14.17/dist/manifest.json" /> + + <script data-marimo="true"> + function __resizeIframe(obj) { + var scrollbarHeight = 20; // Max between windows, mac, and linux + + function setHeight() { + var element = obj.contentWindow.document.documentElement; + // If there is no vertical scrollbar, we don't need to resize the iframe + if (element.scrollHeight === element.clientHeight) { + return; + } + + // Create a new height that includes the scrollbar height if it's visible + var hasHorizontalScrollbar = element.scrollWidth > element.clientWidth; + var newHeight = element.scrollHeight + (hasHorizontalScrollbar ? scrollbarHeight : 0); + + // Only update the height if it's different from the current height + if (obj.style.height !== `${newHeight}px`) { + obj.style.height = `${newHeight}px`; + } + } + + // Resize the iframe to the height of the content and bottom scrollbar height + setHeight(); + + // Resize the iframe when the content changes + const resizeObserver = new ResizeObserver((entries) => { + setHeight(); + }); + resizeObserver.observe(obj.contentWindow.document.body); + } + </script> + <marimo-filename hidden>2024-08-31-espp-model.py</marimo-filename> + <!-- TODO(Trevor): Legacy, required by VS Code plugin. Remove when plugin is updated (see marimo/server/_templates/template.py) --> + <marimo-version data-version="{{ version }}" hidden></marimo-version> + <marimo-user-config data-config="{{ user_config }}" hidden></marimo-user-config> + <marimo-server-token data-token="{{ server_token }}" hidden></marimo-server-token> + <!-- /TODO --> + <title>2024-08-31-espp-model</title> + <script type="module" crossorigin crossorigin="anonymous" src="https://cdn.jsdelivr.net/npm/@marimo-team/frontend@0.14.17/dist/assets/index-CPVCa2dz.js"></script> + <link rel="stylesheet" crossorigin crossorigin="anonymous" href="https://cdn.jsdelivr.net/npm/@marimo-team/frontend@0.14.17/dist/assets/index-BlxPam9h.css"> + +<script data-marimo="true"> + window.__MARIMO_STATIC__ = {}; + window.__MARIMO_STATIC__.files = {}; +</script> +</head> + <body> + <div id="root"></div> + <!-- This is a portal for the data editor to render in --> + <div id="portal" data-testid="glide-portal" style="position: fixed; left: 0; top: 0; z-index: 9999"></div> + <script data-marimo="true"> + window.__MARIMO_MOUNT_CONFIG__ = { + "filename": "2024-08-31-espp-model.py", + "mode": "read", + "version": "0.14.17", + "serverToken": "static", + "config": {"completion": {"activate_on_typing": true, "copilot": false}, "display": {"cell_output": "above", "code_editor_font_size": 14, "dataframes": "rich", "default_table_max_columns": 50, "default_table_page_size": 10, "default_width": "medium", "reference_highlighting": false, "theme": "light"}, "formatting": {"line_length": 79}, "keymap": {"overrides": {}, "preset": "default"}, "language_servers": {"pylsp": {"enable_flake8": false, "enable_mypy": true, "enable_pydocstyle": false, "enable_pyflakes": false, "enable_pylint": false, "enable_ruff": true, "enabled": true}}, "package_management": {"manager": "uv"}, "runtime": {"auto_instantiate": true, "auto_reload": "off", "default_sql_output": "auto", "on_cell_change": "autorun", "output_max_bytes": 8000000, "reactive_tests": true, "std_stream_max_bytes": 1000000, "watcher_on_save": "lazy"}, "save": {"autosave": "after_delay", "autosave_delay": 1000, "format_on_save": false}, "server": {"browser": "default", "follow_symlink": false}, "snippets": {"custom_paths": [], "include_default_snippets": true}}, + "configOverrides": {}, + "appConfig": {"sql_output": "auto", "width": "compact"}, + "view": {"showAppCode": true}, + "notebook": {"cells": [{"code": "", "code_hash": "3fbb2135617710c8410e1c32111e69f7", "config": {"column": null, "disabled": false, "hide_code": true}, "id": "Hbol", "name": ""}, {"code": "", "code_hash": "91526907928d359aaf89865863ef5232", "config": {"column": null, "disabled": false, "hide_code": false}, "id": "MJUe", "name": ""}, {"code": "", "code_hash": "b1472459980d6ae20dc7a4f0712e2e39", "config": {"column": null, "disabled": false, "hide_code": false}, "id": "vblA", "name": ""}, {"code": "", "code_hash": "3e42aca112620bbdd35307aa7c12db90", "config": {"column": null, "disabled": false, "hide_code": false}, "id": "bkHC", "name": ""}], "metadata": {"marimo_version": "0.14.17"}, "version": "1"}, + "session": {"cells": [{"code_hash": "3fbb2135617710c8410e1c32111e69f7", "console": [], "id": "Hbol", "outputs": [{"data": {"text/html": "<span class=\"markdown prose dark:prose-invert\"><h1 id=\"modelling-sentinelones-employee-stock-purchase-plan\">Modelling SentinelOne's Employee Stock Purchase Plan</h1></span>"}, "type": "data"}]}, {"code_hash": "91526907928d359aaf89865863ef5232", "console": [], "id": "MJUe", "outputs": [{"data": {"text/plain": ""}, "type": "data"}]}, {"code_hash": "b1472459980d6ae20dc7a4f0712e2e39", "console": [], "id": "vblA", "outputs": [{"data": {"text/plain": ""}, "type": "data"}]}, {"code_hash": "3e42aca112620bbdd35307aa7c12db90", "console": [], "id": "bkHC", "outputs": [{"data": {"image/png": "data:image/png;base64,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"}, "type": "data"}]}], "metadata": {"marimo_version": "0.14.17"}, "version": "1"}, + "runtimeConfig": null, + }; + </script> + <marimo-code hidden=""></marimo-code> +<marimo-code-hash hidden="">c2c0e3040acd983ad65d7904a52d4c6ec88f1449f20d0a9948378a352cd5e8a2</marimo-code-hash> +</body> +</html> diff --git a/outputs/2024-11-29-election-petition.html b/outputs/2024-11-29-election-petition.html new file mode 100644 index 0000000..8687452 --- /dev/null +++ b/outputs/2024-11-29-election-petition.html @@ -0,0 +1,92 @@ +<!DOCTYPE html> +<html lang="en"> + <head> + <meta charset="utf-8" /> + <link rel="icon" crossorigin="anonymous" href="https://cdn.jsdelivr.net/npm/@marimo-team/frontend@0.14.17/dist/favicon.ico" /> + <!-- Preload is necessary because we show these images when we disconnect from the server, + but at that point we cannot load these images from the server --> + <link rel="preload" crossorigin="anonymous" href="https://cdn.jsdelivr.net/npm/@marimo-team/frontend@0.14.17/dist/assets/gradient-yHQUC_QB.png" as="image" /> + <link rel="preload" crossorigin="anonymous" href="https://cdn.jsdelivr.net/npm/@marimo-team/frontend@0.14.17/dist/assets/noise-60BoTA8O.png" as="image" /> + <!-- Preload the fonts --> + <link rel="preload" crossorigin="anonymous" href="https://cdn.jsdelivr.net/npm/@marimo-team/frontend@0.14.17/dist/assets/Lora-VariableFont_wght-B2ootaw-.ttf" as="font" crossorigin="anonymous" /> + <link rel="preload" crossorigin="anonymous" href="https://cdn.jsdelivr.net/npm/@marimo-team/frontend@0.14.17/dist/assets/PTSans-Regular-CxL0S8W7.ttf" as="font" crossorigin="anonymous" /> + <link rel="preload" crossorigin="anonymous" href="https://cdn.jsdelivr.net/npm/@marimo-team/frontend@0.14.17/dist/assets/PTSans-Bold-D9fedIX3.ttf" as="font" crossorigin="anonymous" /> + <link rel="preload" crossorigin="anonymous" href="https://cdn.jsdelivr.net/npm/@marimo-team/frontend@0.14.17/dist/assets/FiraMono-Regular-BTCkDNvf.ttf" as="font" crossorigin="anonymous" /> + <link rel="preload" crossorigin="anonymous" href="https://cdn.jsdelivr.net/npm/@marimo-team/frontend@0.14.17/dist/assets/FiraMono-Medium-DU3aDxX5.ttf" as="font" crossorigin="anonymous" /> + <link rel="preload" crossorigin="anonymous" href="https://cdn.jsdelivr.net/npm/@marimo-team/frontend@0.14.17/dist/assets/FiraMono-Bold-CLVRCuM9.ttf" as="font" crossorigin="anonymous" /> + + <meta name="viewport" content="width=device-width, initial-scale=1" /> + <meta name="theme-color" content="#000000" /> + <meta name="description" content="a marimo app" /> + <link rel="apple-touch-icon" crossorigin="anonymous" href="https://cdn.jsdelivr.net/npm/@marimo-team/frontend@0.14.17/dist/apple-touch-icon.png" /> + <link rel="manifest" crossorigin="anonymous" href="https://cdn.jsdelivr.net/npm/@marimo-team/frontend@0.14.17/dist/manifest.json" /> + + <script data-marimo="true"> + function __resizeIframe(obj) { + var scrollbarHeight = 20; // Max between windows, mac, and linux + + function setHeight() { + var element = obj.contentWindow.document.documentElement; + // If there is no vertical scrollbar, we don't need to resize the iframe + if (element.scrollHeight === element.clientHeight) { + return; + } + + // Create a new height that includes the scrollbar height if it's visible + var hasHorizontalScrollbar = element.scrollWidth > element.clientWidth; + var newHeight = element.scrollHeight + (hasHorizontalScrollbar ? scrollbarHeight : 0); + + // Only update the height if it's different from the current height + if (obj.style.height !== `${newHeight}px`) { + obj.style.height = `${newHeight}px`; + } + } + + // Resize the iframe to the height of the content and bottom scrollbar height + setHeight(); + + // Resize the iframe when the content changes + const resizeObserver = new ResizeObserver((entries) => { + setHeight(); + }); + resizeObserver.observe(obj.contentWindow.document.body); + } + </script> + <marimo-filename hidden>2024-11-29-election-petition.py</marimo-filename> + <!-- TODO(Trevor): Legacy, required by VS Code plugin. Remove when plugin is updated (see marimo/server/_templates/template.py) --> + <marimo-version data-version="{{ version }}" hidden></marimo-version> + <marimo-user-config data-config="{{ user_config }}" hidden></marimo-user-config> + <marimo-server-token data-token="{{ server_token }}" hidden></marimo-server-token> + <!-- /TODO --> + <title>2024-11-29-election-petition</title> + <script type="module" crossorigin crossorigin="anonymous" src="https://cdn.jsdelivr.net/npm/@marimo-team/frontend@0.14.17/dist/assets/index-CPVCa2dz.js"></script> + <link rel="stylesheet" crossorigin crossorigin="anonymous" href="https://cdn.jsdelivr.net/npm/@marimo-team/frontend@0.14.17/dist/assets/index-BlxPam9h.css"> + +<script data-marimo="true"> + window.__MARIMO_STATIC__ = {}; + window.__MARIMO_STATIC__.files = {}; +</script> +</head> + <body> + <div id="root"></div> + <!-- This is a portal for the data editor to render in --> + <div id="portal" data-testid="glide-portal" style="position: fixed; left: 0; top: 0; z-index: 9999"></div> + <script data-marimo="true"> + window.__MARIMO_MOUNT_CONFIG__ = { + "filename": "2024-11-29-election-petition.py", + "mode": "read", + "version": "0.14.17", + "serverToken": "static", + "config": {"completion": {"activate_on_typing": true, "copilot": false}, "display": {"cell_output": "above", "code_editor_font_size": 14, "dataframes": "rich", "default_table_max_columns": 50, "default_table_page_size": 10, "default_width": "medium", "reference_highlighting": false, "theme": "light"}, "formatting": {"line_length": 79}, "keymap": {"overrides": {}, "preset": "default"}, "language_servers": {"pylsp": {"enable_flake8": false, "enable_mypy": true, "enable_pydocstyle": false, "enable_pyflakes": false, "enable_pylint": false, "enable_ruff": true, "enabled": true}}, "package_management": {"manager": "uv"}, "runtime": {"auto_instantiate": true, "auto_reload": "off", "default_sql_output": "auto", "on_cell_change": "autorun", "output_max_bytes": 8000000, "reactive_tests": true, "std_stream_max_bytes": 1000000, "watcher_on_save": "lazy"}, "save": {"autosave": "after_delay", "autosave_delay": 1000, "format_on_save": false}, "server": {"browser": "default", "follow_symlink": false}, "snippets": {"custom_paths": [], "include_default_snippets": true}}, + "configOverrides": {}, + "appConfig": {"sql_output": "auto", "width": "compact"}, + "view": {"showAppCode": true}, + "notebook": {"cells": [{"code": "", "code_hash": "cd76df5251603a27acfcd10637769cba", "config": {"column": null, "disabled": false, "hide_code": true}, "id": "Hbol", "name": ""}, {"code": "", "code_hash": "f305884208a9db4d3e373fd1186a7b41", "config": {"column": null, "disabled": false, "hide_code": false}, "id": "MJUe", "name": ""}, {"code": "", "code_hash": "c6c2586daff1ca18f2deeda69a2e3e0a", "config": {"column": null, "disabled": false, "hide_code": false}, "id": "vblA", "name": ""}, {"code": "", "code_hash": "eff7d5dba32b4da32d9a67a519434d3f", "config": {"column": null, "disabled": false, "hide_code": false}, "id": "bkHC", "name": ""}, {"code": "", "code_hash": "8d1e4f0c1dd91fdc6804f5e5fae85550", "config": {"column": null, "disabled": false, "hide_code": false}, "id": "lEQa", "name": ""}, {"code": "", "code_hash": "8aaa3ec84cdd7a66face1056b3fcd3cb", "config": {"column": null, "disabled": false, "hide_code": false}, "id": "PKri", "name": ""}, {"code": "", "code_hash": "971653754bcb9625e69c16c8d28d5dc1", "config": {"column": null, "disabled": false, "hide_code": false}, "id": "Xref", "name": ""}, {"code": "", "code_hash": "99a7365eecba194039fdb96a2dcab55c", "config": {"column": null, "disabled": false, "hide_code": false}, "id": "SFPL", "name": ""}, {"code": "", "code_hash": "023906111e4b27f1cef1d2ff06c48dff", "config": {"column": null, "disabled": false, "hide_code": false}, "id": "BYtC", "name": ""}, {"code": "", "code_hash": "cba6e01b9efc6b41a6801be63e0d6722", "config": {"column": null, "disabled": false, "hide_code": false}, "id": "RGSE", "name": ""}, {"code": "", "code_hash": "1c07fb5ddd977af045d1b19502d582be", "config": {"column": null, "disabled": false, "hide_code": false}, "id": "Kclp", "name": ""}, {"code": "", "code_hash": "3a56401bc41b62bfcad6b1e2a2a12661", "config": {"column": null, "disabled": false, "hide_code": false}, "id": "emfo", "name": ""}, {"code": "", "code_hash": "0f041482771c1c652bcf15c4b8f34675", "config": {"column": null, "disabled": false, "hide_code": false}, "id": "Hstk", "name": ""}, {"code": "", "code_hash": "200ca2111d53fbf5fcb4d2c74601bc91", "config": {"column": null, "disabled": false, "hide_code": false}, "id": "nWHF", "name": ""}, {"code": "", "code_hash": "bc1cd08c264c839042cf7f46f2559233", "config": {"column": null, "disabled": false, "hide_code": false}, "id": "iLit", "name": ""}], "metadata": {"marimo_version": "0.14.17"}, "version": "1"}, + "session": {"cells": [{"code_hash": "cd76df5251603a27acfcd10637769cba", "console": [], "id": "Hbol", "outputs": [{"data": {"text/html": "<span class=\"markdown prose dark:prose-invert\"><h1 id=\"analysing-the-petition-for-a-general-election\">Analysing the Petition for a General Election</h1>\n<span class=\"paragraph\">2024 general election results where downloaded from <a href=\"https://commonslibrary.parliament.uk/research-briefings/cbp-10009/\" rel=\"noopener\" target=\"_blank\">here</a> on 29 November 2024. Petition results were downloaded using the following command on 29 November 2024:</span>\n<div class=\"language-shell codehilite\"><pre><span></span><code>curl<span class=\"w\"> </span>https://petition.parliament.uk/petitions/700143.json<span class=\"w\"> </span><span class=\"p\">|</span><span class=\"w\"> </span>jq<span class=\"w\"> </span>><span class=\"w\"> </span>data/election-petition-results.json\n</code></pre></div></span>"}, "type": "data"}]}, {"code_hash": "f305884208a9db4d3e373fd1186a7b41", "console": [], "id": "MJUe", "outputs": [{"data": {"text/plain": ""}, "type": "data"}]}, {"code_hash": "c6c2586daff1ca18f2deeda69a2e3e0a", "console": [], "id": "vblA", "outputs": [{"data": {"text/plain": ""}, "type": "data"}]}, {"code_hash": "eff7d5dba32b4da32d9a67a519434d3f", "console": [], "id": "bkHC", "outputs": [{"data": {"text/html": "<marimo-ui-element object-id='bkHC-0' random-id='c3e02331-3567-e46c-17f9-6049f52bdad2'><marimo-table data-initial-value='[]' data-label='null' data-data='"[{\"ons_id\":\"W07000081\",\"constituency\":\"Aberafan Maesteg\",\"region\":\"Wales\",\"party\":\"Heritage Party\",\"votes\":183,\"share\":0.005118,\"signature_count\":3444,\"total_votes\":35755,\"signatures_per_vote\":0.0963221927,\"winner\":false},{\"ons_id\":\"W07000081\",\"constituency\":\"Aberafan Maesteg\",\"region\":\"Wales\",\"party\":\"Independent\",\"votes\":618,\"share\":0.017284,\"signature_count\":3444,\"total_votes\":35755,\"signatures_per_vote\":0.0963221927,\"winner\":false},{\"ons_id\":\"W07000081\",\"constituency\":\"Aberafan Maesteg\",\"region\":\"Wales\",\"party\":\"Liberal Democrat\",\"votes\":916,\"share\":0.025619,\"signature_count\":3444,\"total_votes\":35755,\"signatures_per_vote\":0.0963221927,\"winner\":false},{\"ons_id\":\"W07000081\",\"constituency\":\"Aberafan Maesteg\",\"region\":\"Wales\",\"party\":\"Green\",\"votes\":1094,\"share\":0.030597,\"signature_count\":3444,\"total_votes\":35755,\"signatures_per_vote\":0.0963221927,\"winner\":false},{\"ons_id\":\"W07000081\",\"constituency\":\"Aberafan Maesteg\",\"region\":\"Wales\",\"party\":\"Conservative\",\"votes\":2903,\"share\":0.081191,\"signature_count\":3444,\"total_votes\":35755,\"signatures_per_vote\":0.0963221927,\"winner\":false},{\"ons_id\":\"W07000081\",\"constituency\":\"Aberafan Maesteg\",\"region\":\"Wales\",\"party\":\"Plaid Cymru\",\"votes\":4719,\"share\":0.131982,\"signature_count\":3444,\"total_votes\":35755,\"signatures_per_vote\":0.0963221927,\"winner\":false},{\"ons_id\":\"W07000081\",\"constituency\":\"Aberafan Maesteg\",\"region\":\"Wales\",\"party\":\"Reform UK\",\"votes\":7484,\"share\":0.209313,\"signature_count\":3444,\"total_votes\":35755,\"signatures_per_vote\":0.0963221927,\"winner\":false},{\"ons_id\":\"W07000081\",\"constituency\":\"Aberafan Maesteg\",\"region\":\"Wales\",\"party\":\"Labour\",\"votes\":17838,\"share\":0.498895,\"signature_count\":3444,\"total_votes\":35755,\"signatures_per_vote\":0.0963221927,\"winner\":true},{\"ons_id\":\"S14000060\",\"constituency\":\"Aberdeen North\",\"region\":\"Scotland\",\"party\":\"Trade Unionist and Socialist Coalition\",\"votes\":214,\"share\":0.005084,\"signature_count\":3322,\"total_votes\":42095,\"signatures_per_vote\":0.078916736,\"winner\":false},{\"ons_id\":\"S14000060\",\"constituency\":\"Aberdeen North\",\"region\":\"Scotland\",\"party\":\"Scottish Family Party\",\"votes\":352,\"share\":0.008362,\"signature_count\":3322,\"total_votes\":42095,\"signatures_per_vote\":0.078916736,\"winner\":false}]"' data-total-rows='4515' data-total-columns='10' data-max-columns='50' data-banner-text='""' data-pagination='true' data-page-size='10' data-field-types='[["ons_id", ["string", "object"]], ["constituency", ["string", "object"]], ["region", ["string", "object"]], ["party", ["string", "object"]], ["votes", ["integer", "int64"]], ["share", ["number", "float64"]], ["signature_count", ["integer", "int64"]], ["total_votes", ["integer", "int64"]], ["signatures_per_vote", ["number", "float64"]], ["winner", ["boolean", "bool"]]]' data-show-filters='true' data-show-download='true' data-show-column-summaries='true' data-show-data-types='true' data-show-page-size-selector='true' data-show-column-explorer='true' data-show-chart-builder='true' data-row-headers='[]' data-has-stable-row-id='false' data-lazy='false' data-preload='false'></marimo-table></marimo-ui-element>"}, "type": "data"}]}, {"code_hash": "8d1e4f0c1dd91fdc6804f5e5fae85550", "console": [], "id": "lEQa", "outputs": [{"data": {"image/png": "data:image/png;base64,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"}, "type": "data"}]}, {"code_hash": "8aaa3ec84cdd7a66face1056b3fcd3cb", "console": [], "id": "PKri", "outputs": [{"data": {"text/html": "<span class=\"markdown prose dark:prose-invert\"><h3 id=\"signature-distribution\">Signature Distribution</h3></span>"}, "type": "data"}]}, {"code_hash": "971653754bcb9625e69c16c8d28d5dc1", "console": [], "id": "Xref", "outputs": [{"data": {"image/png": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAA3kAAAEhCAYAAADCsmlmAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjUsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvWftoOwAAAAlwSFlzAAAPYQAAD2EBqD+naQAARUVJREFUeJzt3Xl0FFX6//FPJyRsCUGSIMMiIthBCCFhEQnRyKIgGGX5KrixyqaIIiqIC6tsogLiYBRFYBQGB0FZHBYdkH1xAAEBgYisQhKE0ISQkL6/P/jRY8uW7nSnofN+nZNz0lX3Vj1VpB/66bp1y2KMMQIAAAAA+IUAXwcAAAAAAPAcijwAAAAA8CMUeQAAAADgRyjyAAAAAMCPUOQBAAAAgB+hyAMAAAAAP0KRBwAAAAB+hCIPAAAAAPwIRR4AAAAA+BGKPMBNUVFRWrZsma/DAOBhX331lerVq+frMADk0Z//Pz506JCioqK0c+dOn8RC/sD1ooivA8CNITU1VR9++KGWL1+uY8eOKTw8XHfccYc6deqkhg0b+jo8r3r//fe1bNkyff31107LV61apbCwMB9FBeBqBg4cqIyMDP3973/3dSgA8ula7+cb7f/jqKgox+/FixdX2bJlVadOHT355JOKjo72YWTe16RJE3Xs2FGdO3f2dSh+jyIP13To0CE99thjKlWqlF555RVZrVadP39eq1at0tChQ/Xvf//b1yFeVk5OjoKCgry2/cjISK9tG0DhY4xRbm6uihThv2bAFQXx/3F2draCg4M9tr1Ro0bp7rvv1rlz57R//37Nnj1bjz76qEaOHKnWrVt7bD8Fgdx1fWK4Jq5p6NChslgs+vLLL9W8eXNVqVJFt99+u7p06aLZs2dLko4cOaLevXsrLi5OderU0fPPP6+0tDTHNt5//309/PDDmjdvnpo0aaK6deuqX79+stlsjjb//ve/lZSUpJiYGDVo0ECdO3dWZmamY/2XX36pBx54QLVq1VKLFi30+eefO9ZdHJ6xaNEiPfnkk6pVq5ZmzpypmJgYrVixwul4li5dqri4OJ09e1aS9Pbbb6t58+aqXbu2mjZtqvHjxysnJ0fShWEXkyZN0q5duxQVFaWoqCh99dVXkpyHh3To0EFvv/22035OnDihmjVrauPGjZIu/AcxZswY3X333YqNjdUjjzyi9evX5+8fB4DLpk6dqqSkJMXGxioxMVFDhgzRmTNnLmm3bNky3X///apVq5a6deumo0ePOq3/4osv1KxZM0VHR6t58+aaN2+eY93lhoxlZGQoKirK8b5fv369oqKitGLFCrVt21a1atXSjz/+6J2DBvzY5W6fSElJUYcOHVSrVi09+OCD2rBhg9P6X375RU8//bTi4uIUHx+vl19+WSdOnHCsf+qppzRs2DC99dZbatCggbp16yYp7/njWkqVKqXIyEhVrFhRCQkJmjhxopKSkjRs2DCdOnXK0W7Tpk16/PHHFRMTo8TERI0YMcLps1GTJk3097//Xa+88ori4uLUuHFjfffddzpx4oTjc1lSUpK2bdvmtP/FixerVatWio6OVpMmTfTpp586rc/Oztbbb7+txMRERUdH67777tOXX34p6cq568CBA+rdu7fi4+MVFxendu3aac2aNU7n9PDhwxo1apTjMxW8hyIPV3Xy5EmtXLlSTzzxhEqUKHHJ+lKlSslut+uZZ57RqVOnNGPGDE2dOlUHDx5Uv379nNoeOHBA3333nT788EMlJydr48aN+vjjjyVJx48fV//+/dWuXTstWrRI06dP13333SdjjCTpm2++0YQJE9SvXz8tWrRIL774oiZOnKi5c+c67WPcuHHq2LGjFi1apBYtWujee+/VggULnNrMnz9fzZo1U/HixSVJJUuW1KhRo7Rw4UK99tpr+vLLL/XZZ59Jklq2bKmuXbvq9ttv16pVq7Rq1Sq1bNnykvOQlJSkRYsWOeKVpEWLFqls2bKOsfnDhg3T5s2b9d577+mbb75RixYt9PTTT2v//v0u/IsAyC+LxaLXXntNCxYs0OjRo7Vu3bpLvqTJysrS5MmTNWbMGM2cOVMZGRlOOW3p0qUaOXKkunTpovnz56tDhw4aNGiQ1q1b53I877zzjvr3769FixbxoQfwkLFjx6pLly6aN2+eYmNj1atXL/3xxx+SLnzh0qlTJ9WoUUP/+te/NGXKFKWnp+uFF15w2sbcuXMVFBSkmTNnaujQoZLylj/c1blzZ505c0arV6+WdOFzU/fu3XX//ffrm2++0Xvvvacff/xRw4cPd+o3bdo01alTR3PnzlViYqJeeeUVvfLKK3rooYf01Vdf6ZZbbtGAAQMcn1G2b9+uF154QS1bttT8+fPVp08fTZgwwfEltiS98sorWrhwoV5//XV9++23GjZsmEqWLOm037/mrszMTCUmJuqzzz7T3Llzdffdd6tXr146cuSIpAtf+JcrV059+/Z1fKaCFxngKrZu3WqsVqtZsmTJFdusWrXK3HHHHebIkSOOZXv27DFWq9Vs3brVGGPMxIkTTe3atc3p06cdbcaMGWMeeeQRY4wx27dvN1ar1Rw6dOiy+2jWrJmZP3++07IPPvjAtG/f3hhjzMGDB43VajWfffaZU5ulS5ea2NhYk5mZaYwx5vTp06ZWrVpmxYoVVzyeKVOmmDZt2jheT5w40Tz00EOXtLNarWbp0qXGGGPS09NNjRo1zMaNGx3r27dvb95++21jjDGHDx82d9xxh/n999+dttGpUyfzzjvvXDEWAO4ZMGCA6d27d57afvvtt+bOO+90vJ4zZ46xWq1my5YtjmV79+51ymnt27c3r7/+utN2+vbta7p3726M+V9O+vnnnx3rT506ZaxWq1m3bp0xxph169Y55REAl3et9/Of30cX33vJycmO9Tk5Oeaee+4xH330kTHmwueHrl27Om3j6NGjxmq1mpSUFGOMMU8++aRp3br1NWO7XP6oW7fuVftc6X2flZVlrFarI85BgwaZN954w6nNxo0bTfXq1U1WVpYxxpjGjRubl156ybH++PHjxmq1mvHjxzuWbd682VitVnP8+HFjjDEvvvii6dKli9N2x4wZY1q2bGmMMSYlJcVYrVazevXqy8bvSu5q1aqVmTFjhuN148aNzdSpU6/ZD/nH4FlclfnTlakr2bdvn8qVK6e//e1vjmXVqlVTqVKllJKSopiYGElShQoVFBIS4mhTtmxZpaenS5KqV6+uhg0bKikpSQkJCUpISFDz5s0VFhamzMxMHThwQK+99preeOMNR//z588rNDTUKZa/3rB8zz33KCgoSN9//71atWqlxYsXKyQkRPHx8Y42F68cHjx4UJmZmTp//rxTnHlRpkwZNWrUSN98843q1aungwcPavPmzY5v/n755Rfl5uaqRYsWTv2ys7NVunRpl/YFIH/WrFmj5ORkpaSkyGazKTc3V+fOndPZs2cdV/iLFCmiWrVqOfpUrVpVpUqV0r59+xQTE6OUlBS1b9/eabt16tTR9OnTXY7nz/sB4BlxcXGO34sUKaLo6GilpKRIknbt2qX169c7tbnowIEDqlKliiSpZs2al6zPS/5w18XPXBaLxRHn7t27NX/+fKc2drtdhw4dUtWqVSU5T+QSEREhSbJarY5l4eHhkqT09HRFRkYqJSVFTZs2ddr3xfyVm5urnTt3KjAwUPXr179qvH/NXWfOnNGkSZO0fPlypaamKjc3V1lZWY4reShYFHm4qsqVK8tisTgSY35c7obciwktMDBQU6dO1X//+1+tXr1aM2bM0HvvvafZs2c7kubw4cNVu3Ztp/4BAc4jjv86pDQ4OFjNmzfX/Pnz1apVKy1YsEAtW7Z0xLJ582a99NJLeu6555SQkKDQ0FAtXLhQU6dOdfn4kpKSNGLECL3xxhtasGCBrFarI/FmZmYqMDBQc+bMUWBg4FVjBuA9hw4dUs+ePfXYY4+pX79+CgsL048//qjXXntNOTk5+f6QdtHF3PTnL8rOnz9/2bae2ieAvMnMzFTjxo310ksvXbLuz5O4/PW96e38sW/fPklSxYoVHXF26NBBTz311CVt//zF+p8/X10sEP888dzFZXn54l6SihUrlqd2fz3eMWPGaM2aNRowYIBuueUWFStWTH379nXMc4CCxT15uKrSpUsrISFBn3/+udONvhdlZGSoatWq+v33350mJdi7d69jXV5ZLBbVrVtXffv21bx58xQUFKRly5YpIiJCZcuW1cGDB1W5cmWnn0qVKl1zu0lJSVq1apX27NmjdevWKSkpybFu8+bNKl++vHr37q1atWrp1ltvveQbp6CgINnt9mvup2nTpsrOztbKlSu1YMECp/3ccccdys3N1YkTJy45BmbpBArOjh07ZIzRwIEDFRsbqypVquj48eOXtDt//ry2b9/ueJ2SkuKU02677Tb997//derz3//+V9WqVZN04eq+dOHxMxf56rldQGG0ZcsWx+/nz5/Xjh07dNttt0m6cIVuz549qlChwiX/J1/ti9e85g93TZs2zWm0UY0aNbR3795LYqxcuXK+Zvq8Uv669dZbFRgYKKvVKrvd7pg4Lq82b96sNm3a6L777lNUVJQiIiJ0+PBhpzZ5/UyF/KPIwzUNHjxYdrtdjzzyiBYvXqz9+/dr3759mj59utq3b6/4+HhZrVa99NJL2rFjh3766Se98soruvPOO/M8DGnr1q368MMPtW3bNh05ckRLlizRiRMnHAm5b9+++uijjzR9+nT9+uuv2r17t+bMmZOnK27169dXRESEXnrpJVWsWNHpamDlypV19OhRLVy4UAcOHND06dMvmaGrQoUKOnTokHbu3KkTJ04oOzv7svspUaKEmjZtqgkTJmjfvn168MEHHeuqVKmipKQkvfLKK1qyZIkOHjyon376ScnJyVq+fHmezhEA15w+fVo7d+50+rnpppuUk5OjGTNm6ODBg5o3b55mzZp1Sd+goCANHz5cW7du1fbt2/Xqq68qNjbWMfz86aef1ty5c/XFF19o//79mjp1qpYuXaquXbtKuvBNeGxsrD766CPt27dPGzZs0Pjx4wvy8AG/crn3819nvP2zL774QkuXLtW+ffscM1a2a9dOkvT444/r1KlTevHFF/XTTz/pwIEDWrlypV599VXl5uZecZuVK1fOU/7Ii4yMDKWmpurw4cNavXq1+vbtqwULFmjIkCEqVaqUJKl79+7avHmzhg0bpp07d2r//v1atmyZhg0b5tY+L+ratavWrl2rDz74QL/++qvmzp2rzz//3JG/KlasqDZt2mjQoEFatmyZDh48qPXr12vRokVX3W7lypW1dOlS7dy5U7t27VL//v0vKegqVKigjRs36tixY06zmcLzGK6Ja6pUqZK++uorffjhhxozZoyOHz+uMmXKqGbNmhoyZIgsFov+/ve/a/jw4XryySdlsVh09913O90/dy0hISHauHGjpk2bJpvNpvLly2vgwIFKTEyUJD3yyCMqVqyYPvnkE40dO1YlSpSQ1WpVp06drrlti8WiVq1aacqUKXr22Wed1jVt2lSdOnXSsGHDlJ2drXvvvVe9e/fWpEmTHG2aN2+upUuXqmPHjsrIyNCoUaPUtm3by+4rKSlJPXr0UP369VW+fHmndaNGjdLkyZM1evRoHT9+XKVLl1ZsbKzuvffePJ8nAHm3YcOGS5439X//93969dVX9fHHH+vdd99VvXr19OKLL2rAgAFO7YoVK6bu3burf//+OnbsmOrVq6e33nrLsb5Zs2YaNGiQPv30U40cOVIVKlTQyJEj1aBBA0ebkSNH6rXXXlPbtm1VpUoVvfzyy44PUQBcc6X385/fl3/Wv39/ffTRR9q5c6cqV66syZMnO66w33zzzZo5c6bGjRunbt26KTs7W+XLl9fdd999yW0gf1a9evU85Y+8ePXVVyVJRYsW1c0336y6devqyy+/dLoPsHr16poxY4bGjx+vxx9/XNKFz2SXm+XbFTVr1tT48eM1ceJETZ48WZGRkerbt6/TZ5shQ4bo3Xff1ZAhQ3Ty5EmVL19ePXv2vOp2Bw4cqEGDBqlDhw666aab1L1790seL9G3b1+9+eabatasmbKzs7V79+58HQuuzGLyOkAXAAAAAHDdY7gmAAAAAPgRijwAAAAA8CMUeQAAAADgRyjyAAAAAMCPUOQBAAAAgB/x+yLPGCObzSYmEQXgDeQYAN5EjgHgDr8v8s6cOaO6dete8pwOAPAEcgwAbyLHAHCH3xd5AAAAAFCYUOQBAAAAgB/xeZF37NgxvfTSS2rQoIFiYmKUlJSkbdu2OdYbYzRhwgQlJCQoJiZGnTt31v79+30XMAAAAABcx3xa5J06dUqPPfaYgoKC9PHHH2vhwoUaMGCAwsLCHG0+/vhjzZgxQ0OGDNHs2bNVvHhxdevWTefOnfNh5AAAAABwfSriy51//PHHKleunEaNGuVYVqlSJcfvxhhNnz5dvXv3VrNmzSRJY8eOVXx8vJYtW6ZWrVoVeMwAAAAAcD3z6ZW877//XtHR0erbt68aNmyo1q1ba/bs2Y71hw4dUmpqquLj4x3LQkNDVbt2bW3evPmy28zOzpbNZnP6AQBPIccA8CZyDABP8OmVvIMHD2rmzJnq0qWLevXqpW3btmnEiBEKCgpSmzZtlJqaKkkKDw936hceHq60tLTLbjM5OVmTJk3yeuwACidyDABvIscA8ASfFnnGGEVHR+vFF1+UJNWoUUN79uzRrFmz1KZNG7e22bNnT3Xp0sXx2mazKTEx0SPxAgA5BoA3kWMAeIJPi7zIyEhVrVrVadltt92mxYsXO9ZLUnp6usqWLetok56erurVq192m8HBwQoODvZSxAAKO3IMAG8ixwDwBJ/ek1enTh39+uuvTsv279+vChUqSJIqVqyoyMhIrV271rHeZrNp69atiouLK9BYAQDwJmO3+6QvAMD/+PRKXqdOnfTYY4/pww8/1AMPPKCffvpJs2fP1rBhwyRJFotFHTt21OTJk1W5cmVVrFhREyZMUNmyZR2zbQIA4A8sAQHKnLNc9rSTLvULiCitEu3u9UpMAIAbk0+LvJiYGE2aNEnvvvuuPvjgA1WsWFGDBg3SQw895GjTvXt3nT17Vm+++aYyMjJUt25dTZkyRUWLFvVh5AAAeJ497aTsR9N9HQYA4Abn0yJPkho3bqzGjRtfcb3FYtHzzz+v559/vgCjAgAAAIAbk0/vyQMAAAAAeBZFHgAAAAD4EYo8AAAAAPAjFHkAAAAA4Eco8gAAAADAj1DkAQAAAIAfocgDAMBDjN3u6xAAAPD9c/IAAPAXloAAZc5ZLnvaSZf6BVarqOJN63knKABAoUORBwCAB9nTTsp+NN2lPgERYV6KBgBQGDFcEwAAAAD8CEUeAAAAAPgRijwAAAAA8CMUeQAAAADgRyjyAAAAAMCPUOQBAAAAgB+hyAMAAAAAP0KRBwAAAAB+hCIPAAAAAPwIRR4AAAAA+BGKPAAAAADwIxR5AAAAAOBHKPIAAAAAwI9Q5AEAAACAH/Fpkff+++8rKirK6adFixaO9efOndPQoUPVoEEDxcXF6bnnnlNaWpoPIwYA+Dtjt/s6BAAA8qWIrwO4/fbbNXXqVMfrwMBAx+8jR47UihUrNH78eIWGhmr48OHq06ePZs2a5YtQAQCFgCUgQJlzlsuedtKlfoHVKqp403reCQoAABf4vMgLDAxUZGTkJctPnz6tOXPmaNy4cWrYsKGkC0Vfy5YttWXLFsXGxl52e9nZ2crOzna8ttlsXokbQOFEjikc7GknZT+a7lKfgIgwL0WDwoQcA8ATfF7k/fbbb0pISFDRokUVGxur/v37q3z58tq+fbtycnIUHx/vaFu1alWVL1/+qkVecnKyJk2aVEDRAyhsyDEAvIkcA8ATfFrkxcTEaNSoUapSpYpSU1P1wQcf6IknntD8+fOVlpamoKAglSpVyqlPeHi4UlNTr7jNnj17qkuXLo7XNptNiYmJXjsGAIULOQaAN5FjAHiCT4u8Pyet6tWrq3bt2mrcuLG+/fZbFStWzK1tBgcHKzg42FMhAoATcgwAbyLHAPCE6+oRCqVKldKtt96qAwcOKCIiQjk5OcrIyHBqk56eftl7+AAAAAAA11mRd+bMGR08eFCRkZGKjo5WUFCQ1q5d61ifkpKiI0eOXPF+PAAAAAAo7Hw6XHPMmDFq3Lixypcvr+PHj+v9999XQECAHnzwQYWGhqpdu3YaPXq0wsLCFBISohEjRiguLo4iDwAAAACuwKdF3u+//64XX3xRJ0+eVJkyZVS3bl3Nnj1bZcqUkSQNGjRIAQEB6tu3r7Kzs5WQkKDBgwf7MmQAAAAAuK75tMh77733rrq+aNGiGjx4MIUdAAAAAOTRdXVPHgAAAAAgfyjyAAAAAMCPUOQBAAAAgB+hyAMAAAAAP0KRBwAAAAB+hCIPAAAAAPwIRR4AAAAA+BGKPAAAAADwI24VeVlZWTp79qzj9eHDh/XZZ59p1apVHgsMAAAAAOA6t4q8Z555RvPmzZMkZWRk6NFHH9XUqVP1zDPP6IsvvvBkfACAG5ix233SFwCAwqyIO5127NihV199VZK0ePFihYeHa968eVq8eLEmTpyoxx9/3KNBAgBuTJaAAGXOWS572kmX+gVElFaJdvd6JSYAAPydW0VeVlaWSpYsKUlatWqV7r//fgUEBCg2NlZHjhzxaIAAgBubPe2k7EfTfR0GAACFhlvDNW+55RYtW7ZMR48e1apVq9SoUSNJUnp6ukJCQjwaIAAAAAAg79wq8p599lmNHTtWTZo0UUxMjOLi4iRJq1ev1h133OHRAAEAAAAAeefWcM0WLVqobt26Sk1NVfXq1R3LGzZsqGbNmnksOAAAAACAa9x+Tl5kZKRKliyp1atXKysrS5JUq1YtVa1a1WPBAQAAAABc49aVvD/++EMvvPCC1q9fL4vFoiVLlqhSpUoaNGiQwsLCNHDgQE/HCQAAAADIA7eu5I0aNUpFihTR8uXLVaxYMcfyli1bauXKlR4LDgAAAADgGreu5K1evVqffPKJypUr57T81ltv5REKAAAAAOBDbl3Jy8zMdLqCd9HJkycVHByc76AAAAAAAO5xq8irV6+e5s2b57TMbrdrypQpatCggSfiAgAAAAC4wa3hmi+//LI6d+6s7du3KycnR2+//bb27t2rU6dOaebMmZ6OEQAAAACQR25dybNarVq8eLHq1q2rpk2b6uzZs7rvvvs0d+5c3XLLLW4F8tFHHykqKkpvvfWWY9m5c+c0dOhQNWjQQHFxcXruueeUlpbm1vYBAAAAoDBw60qeJIWGhqp3794eCeKnn37SrFmzFBUV5bR85MiRWrFihcaPH6/Q0FANHz5cffr00axZszyyXwAAAADwN3ku8nbt2iWr1aqAgADt2rXrqm2rV6+e5wDOnDmjl19+WSNGjNDkyZMdy0+fPq05c+Zo3LhxatiwoaQLRV/Lli21ZcsWxcbG5nkfAAAAAFBY5LnIa926tVavXq3w8HC1bt1aFotFxphL2lksFu3cuTPPAQwbNkyJiYmKj493KvIu3u8XHx/vWFa1alWVL1/+qkVedna2srOzHa9tNlueYwGAayHHAPAmcgwAT8hzkffdd9+pTJkyjt89YeHChfr555/1r3/965J1aWlpCgoKUqlSpZyWh4eHKzU19YrbTE5O1qRJkzwSHwD8FTkGgDeRYwB4Qp6LvAoVKlz2d3cdPXpUb731lj799FMVLVo039u7qGfPnurSpYvjtc1mU2Jiose2D6BwI8cA8CZyDABPcGvileTkZIWHh+v//u//nJb/61//0okTJ9SjR49rbmPHjh1KT09X27ZtHctyc3O1ceNGff755/rkk0+Uk5OjjIwMp6t56enpioyMvOJ2g4ODeSA7AK8hxwDwJnIMAE9w6xEK//znP3Xbbbddsvz222/P88yXd911l+bPn6958+Y5fqKjo5WUlOT4PSgoSGvXrnX0SUlJ0ZEjR5h0BQBwVcZu93UIBcYSUjxfx1uYzhUAFBZuXclLTU297NW0MmXKXPV+uT8LCQmR1Wp1WlaiRAmVLl3asbxdu3YaPXq0wsLCFBISohEjRiguLo4iDwBwVZaAAGXOWS572kmX+gVWq6jiTet5JygvsRQLdvt4AyJKq0S7e70SFwDAd9wq8v72t7/pv//9rypVquS0/Mcff1TZsmU9EpgkDRo0SAEBAerbt6+ys7OVkJCgwYMHe2z7AAD/ZU87KfvRdJf6BESEeSka73PneAEA/smtIu+RRx7RyJEjdf78ed11112SpLVr1+rtt99W165d3Q5mxowZTq+LFi2qwYMHU9gBAAAAQB65VeQ9/fTTOnnypIYOHaqcnBxJFwqyp59+Wj179vRogAAAAACAvHOryLNYLHr55Zf1zDPPaN++fSpWrJhuvfVWZoMCAAAAAB9zq8i7qGTJkoqJifFULAAAAACAfHKryMvMzNRHH32kdevWKT09Xfa/TL/83XffeSQ4AAAAAIBr3CryXn/9dW3YsEEPP/ywIiMjZbFYPB0XAAAAAMANbhV5P/zwg5KTk1W3bl1PxwMAAAAAyIcAdzqVKlVKpUuX9nAoAAAAAID8cqvIe/755zVhwgSdPXvW0/EAAAAAAPLBreGaU6dO1YEDBxQfH6+KFSuqSBHnzcydO9cjwQEAAAAAXONWkdesWTNPxwEAAAAA8AC3irw+ffp4Og4AAAAAgAe4dU+eJGVkZOjLL7/UO++8o5MnT0qSduzYoWPHjnkqNgAAAACAi9y6krdr1y516dJFoaGhOnz4sB599FGVLl1aS5Ys0dGjRzV27FhPxwkAAAAAyAO3ruSNHj1abdq00ZIlSxQcHOxYnpiYqE2bNnksOAAAAACAa9wq8rZt26YOHTpcsvzmm29WampqvoMCAAAAALjHrSIvODhYNpvtkuX79+9XmTJl8h0UAAAAAMA9bhV5TZo00QcffKCcnBzHsiNHjmjcuHG6//77PRYcAAAAAMA1bhV5AwcOVGZmpuLj43Xu3Dk99dRTuv/++1WyZEn169fP0zECAAAAAPLIrdk1Q0NDNXXqVG3atEm7d+9WZmamatasqfj4eE/HBwAAAABwgVtF3kX16tVTvXr1PBULAAAAACCf3CryJk2adNX1ffr0cSsYwF/ZjVGAxVLgfQEAAFD4uFXkLVu2zOn1+fPndejQIQUGBuqWW26hyAP+IsBi0ZxdNqVl5rrUL6JEoNpVD/FSVAAAAPBHbhV58+bNu2SZzWbTwIED1axZs/zGBPiltMxcHT3jWpEHAAAAuMqt2TUvJyQkRM8995wmTpyY5z5ffPGFkpKSVKdOHdWpU0ft27fXihUrHOvPnTunoUOHqkGDBoqLi9Nzzz2ntLQ0T4UMAAAAAH7HY0WeJJ0+fVqnT5/Oc/ty5crppZde0ldffaU5c+borrvu0rPPPqs9e/ZIkkaOHKn//Oc/Gj9+vGbMmKHjx48zFBQAAAAArsKt4ZrTp093em2MUWpqqr7++mvdc889ed5OkyZNnF7369dPM2fO1JYtW1SuXDnNmTNH48aNU8OGDSVdKPpatmypLVu2KDY29rLbzM7OVnZ2tuO1zWbLczwAcC3kGADeRI4B4AluFXmfffaZ0+uAgACVKVNGbdq0UY8ePdwKJDc3V//+97+VmZmpuLg4bd++XTk5OU7P3qtatarKly9/1SIvOTn5mrN/AoC7yDEFwxJSXMZulyXAowNOgOseOQaAJ7hV5H3//fceC2D37t3q0KGDzp07pxIlSuiDDz5QtWrVtHPnTgUFBalUqVJO7cPDw5WamnrF7fXs2VNdunRxvLbZbEpMTPRYvAAKN3JMwbAUC5YlIECZc5bLnnbSpb6B1SqqeFOe4YobEzkGgCe4VeS9+uqreu211xQS4jy1e2ZmpoYPH65Ro0bleVtVqlTRvHnzdPr0aS1evFgDBgzQP/7xD3fCkiQFBwcrODjY7f4AcDXkmIJlTzsp+9F0l/oERIR5KRrA+8gxADzBrXEw8+bN07lz5y5ZnpWVpa+//tqlbQUHB6ty5cqKjo5W//79Vb16dU2fPl0RERHKyclRRkaGU/v09HRFRka6EzYAAAAA+D2XijybzabTp0/LGKMzZ87IZrM5fk6dOqUffvhBZcqUyVdAdrtd2dnZio6OVlBQkNauXetYl5KSoiNHjlzxfjwAgOcZu93XIQAAABe4NFyzXr16slgsslgsat68+SXrLRaLnnvuuTxv75133tE999yjv/3tbzpz5owWLFigDRs26JNPPlFoaKjatWun0aNHKywsTCEhIRoxYoTi4uIo8gCgAHFvHAAANxaXirzp06fLGKNOnTrp/fffV1jY/+57CAoKUvny5XXzzTfneXvp6ekaMGCAjh8/rtDQUEVFRemTTz5Ro0aNJEmDBg1SQECA+vbtq+zsbCUkJGjw4MGuhAwA8ADujQMA4MbhUpF35513SpK+++47lS9fXhaLJV87Hzly5FXXFy1aVIMHD6awAwAAAIA8ynORt2vXLlmtVgUEBOj06dPavXv3FdtWr17dI8EBAAAAAFyT5yKvdevWWr16tcLDw9W6dWtZLBYZYy5pZ7FYtHPnTo8GCQAAAADImzwXed99951j5szvvvvOawEBAAAAANyX5yKvQoUKjt+PHDmiuLg4FSni3P38+fPavHmzU1sAAAAAQMFx62HoHTt21KlTpy5Zfvr0aXXs2DHfQQEAAAAA3ONWkWeMuezMmidPnlTx4sXzHRQAAAAAwD0uPUKhT58+ki5MrjJw4EAFBwc71uXm5mr37t2Ki4vzbIRAIRYSZJHdGAW4+biS/PQFAADAjcmlIi80NFTShSt5JUuWVLFixRzrgoKCFBsbq0ceecSzEQKFWLEiFgVYLJqzy6a0zFyX+kaUCFS76iFeigwAAADXK5eKvFGjRkm6MAlL165dVaJECa8EBcBZWmaujp5xrcgDAABA4eTWPXlPP/200z15hw8f1meffaZVq1Z5LDAAAAAA/2OM3Sd9ceNx6UreRc8884zuu+8+PfbYY8rIyNAjjzyioKAg/fHHHxo4cKAef/xxT8cJAAAAFGoWS4DsBxfKZJ1wrV+xMgqo1MpLUeF65NaVvB07dqhevXqSpMWLFysiIkL/+c9/NGbMGM2YMcOjAQIAAAC4wGSdkLKOu/TjalGIG59bRV5WVpZKliwpSVq1apXuv/9+BQQEKDY2VkeOHPFogAAAAACAvHOryLvlllu0bNkyHT16VKtWrVKjRo0kSenp6QoJYTY/AAAAAPAVt4q8Z599VmPHjlWTJk1Uu3Ztx7PxVq9erTvuuMOjAQIAAAAA8s6tiVdatGihunXrKjU1VdWrV3csb9iwoZo1a+ax4AAAAAAArnGryJOkyMhIRUZGOi2LiYnJd0AAAAAAAPe5VeRlZmbqo48+0rp165Seni673fm5G999951HggMAAAAAuMatIu/111/Xhg0b9PDDDysyMtLpwegAAAAAAN9xq8j74YcflJycrLp163o6HgCAFxi7XZYAt+baAgAANxi3irxSpUqpdOnSHg4FAOAtloAAZc5ZLnvaSZf6BVarqOJN63knKAAA4BVuFXnPP/+8JkyYoDFjxqh48eKejgkA4AX2tJOyH013qU9ARJiXogEAAN7iVpE3depUHThwQPHx8apYsaKKFHHezNy5c/O0neTkZC1ZskQpKSkqVqyY4uLi9NJLL+m2225ztDl37pxGjx6tRYsWKTs7WwkJCRo8eLAiIiLcCR0AAAAA/JpbRZ6nnoW3YcMGPfHEE6pVq5Zyc3P17rvvqlu3blq4cKFKlCghSRo5cqRWrFih8ePHKzQ0VMOHD1efPn00a9Ysj8QAAAAAAP7ErSKvT58+Htn5J5984vR69OjRatiwoXbs2KH69evr9OnTmjNnjsaNG6eGDRtKulD0tWzZUlu2bFFsbKxH4gAAAAAAf+H2w9Alafv27dq3b58k6fbbb1eNGjXyFczp06clSWFhYY7t5+TkKD4+3tGmatWqKl++/BWLvOzsbGVnZzte22y2fMUEAH9GjgHgTeQYAJ7gVpGXnp6ufv36acOGDSpVqpQkKSMjQw0aNNB7772nMmXKuLxNu92ukSNHqk6dOrJarZKktLQ0BQUFOfZxUXh4uFJTUy+7neTkZE2aNMnl/QNAXpBjAHgTOQaAJ7hV5A0fPlxnzpzRwoULVbVqVUnS3r17NWDAAI0YMULvvvuuy9scOnSo9uzZoy+++MKdkBx69uypLl26OF7bbDYlJibma5sAcBE5BoA3kWMAeIJbRd7KlSs1depUR4EnSdWqVdPgwYPVtWtXl7c3bNgwLV++XP/4xz9Urlw5x/KIiAjl5OQoIyPD6Wpeenq6IiMjL7ut4OBgBQcHuxwDAOQFOQaAN5FjAHhCgDud7Ha7goKCLllepEgR2e32PG/HGKNhw4Zp6dKlmjZtmipVquS0Pjo6WkFBQVq7dq1jWUpKio4cOcKkKwAAAABwGW4VeXfddZfeeustHTt2zLHs2LFjGjVqlGMWzLwYOnSovvnmG73zzjsqWbKkUlNTlZqaqqysLElSaGio2rVrp9GjR2vdunXavn27Bg0apLi4OIo8AAAAALgMt4Zrvvnmm+rdu7eaNm3qGF75+++/6/bbb9fbb7+d5+3MnDlTkvTUU085LR81apTatm0rSRo0aJACAgLUt29fp4ehAwAAAAAu5VaR97e//U1z587VmjVrlJKSIunCow3+/KiDvNi9e/c12xQtWlSDBw+msAMAAACAPHBpuObatWvVsmVL2Ww2WSwWNWrUSE899ZSeeuop1apVS61atdKmTZu8FSvgU3ZjfB0CCjnjwj3PAACg8HLpSt60adP06KOPKiQk5JJ1oaGhat++vaZOnap69ep5LEDgehFgsWjOLpvSMnNd6lftpiA1rVLCS1GhMLEEBChzznLZ00661C+wWkUVb0peBgCgsHCpyNu9e7defvnlK65v1KiRPv3003wHBVyv0jJzdfSMa0VeRHG35jcCLsuedlL2o+ku9QmICPNSNAAA4Hrk0qfPtLQ0FSly5bqwSJEiOnHiRL6DAgAAAAC4x6Ui7+abb9aePXuuuH737t1XfEg5AAAAAMD7XCryEhMTNWHCBJ07d+6SdVlZWXr//ffVuHFjjwUHAAAAAHCNS/fk9e7dW0uWLFHz5s31xBNPqEqVKpKklJQUffHFF8rNzVWvXr28EigAAAAA4NpcKvIiIiI0a9YsDRkyRO+++67M/59S3mKxKCEhQW+++aYiIiK8EigAAAAA4Npcfhh6hQoV9PHHH+vUqVP67bffJEmVK1dWWBiztwEAAACAr7lc5F0UFhammJgYT8YCAAAAAMgnHuAFAAAAAH6EIg8AAAAA/AhFHgAAAAD4EYo8AAAAAPAjFHkAAAAA4Eco8gAAAADAj1DkAQBQSFlCisvY7W73z09fAID3uP2cPAAAcGOzFAuWJSBAmXOWy5520qW+ARGlVaLdvV6JCwCQPxR5AAAUcva0k7IfTfd1GAAAD2G4JgAAAAD4EYo8wE+FBFlkN8bt/vnpCwAAAN9huCbgp4oVsSjAYtGcXTalZea61DeiRKDaVQ/xUmQAAADwJoo8wM+lZebq6BnXijwAAADcuHw6XHPjxo3q1auXEhISFBUVpWXLljmtN8ZowoQJSkhIUExMjDp37qz9+/f7JlgAAAAAuAH4tMjLzMxUVFSUBg8efNn1H3/8sWbMmKEhQ4Zo9uzZKl68uLp166Zz584VcKQAAAAAcGPw6XDNxMREJSYmXnadMUbTp09X79691axZM0nS2LFjFR8fr2XLlqlVq1aX7Zedna3s7GzHa5vN5vnAARRa5BgA3kSOAeAJ1+09eYcOHVJqaqri4+Mdy0JDQ1W7dm1t3rz5ikVecnKyJk2aVFBh4gZjN0YBFouvw8ANjBwDwJvIMf7PGLsslgIeTFekRL7265OYkS/XbZGXmpoqSQoPD3daHh4errS0tCv269mzp7p06eJ4bbPZrni1EIWPu7NNVrspSE2rlPBSVLiRkGMAeBM5xv9ZLAGyH1wok3XCtX6htyqg3N3u7TSwmPv7LVZGAZUuf3EF16/rtshzV3BwsIKDg30dBq5j7sw2GVGcb69wATkGgDeRYwoHk3VCyjruWp+iZXyz33zvFb5w3X5yjYyMlCSlp6c7LU9PT1dERIQvQgIAAACA6951W+RVrFhRkZGRWrt2rWOZzWbT1q1bFRcX58PIAAAAAOD65dPhmmfOnNGBAwccrw8dOqSdO3cqLCxM5cuXV8eOHTV58mRVrlxZFStW1IQJE1S2bFnHbJsAAAAAAGc+LfK2b9+ujh07Ol6PGjVKktSmTRuNHj1a3bt319mzZ/Xmm28qIyNDdevW1ZQpU1S0aFFfhQwAAAAA1zWfFnkNGjTQ7t27r7jeYrHo+eef1/PPP1+AUQEAAADAjeu6vScPAAAAAOA6ijwAAAAA8CMUeQAAAIALjLH7OoSCU6REvo63UJ2r64jfPQwdAAAA8CaLJUD2gwsvPFzclX6htyqg3N1eispLAou5f7zFyiigUisvBYarocgDAAAAXGSyTkhZx13rU7SMl6LxPreO10ux4NoYrgkAAAAAfoQiDz5hN+5/t5OfvsibkCAL/0YAAAA3KIZrwicCLBbN2WVTWmauS/2q3RSkplVK5Ksvrq1YEYvb/0YRJQLVrnqIlyIDAADAtVDkwWfSMnN19IyLBUTxgHz3Rd65c54BAADgW3zqBYACZOxMJQ3/YAkpnq+/Z94LAOA9XMkDgAJkCQhQ5pzlsqeddKlfYLWKKt60nneCAtxgKRbs9t9zQERplWh3r1fiAgBQ5AFAgbOnnZT9aLpLfQIiwrwUDZA/7vw9AwC8i+GaAAAAKHSMYcgw/BdX8gAAAFDoWCwBsh9ceOEh3670C71VAeXu9lJUgGdQ5AEAAKBQMlknpKzjrvUpWsZL0QCew3BNAAAAAPAjFHkAPCokyCK7MW73z09fAEDhwn11wOUxXBOARxUrYlGAxaI5u2xKy3TxgfUlAtWueoiXIgMA+BvuqwMujyIPgFekZebq6BnXijwAAFzFfXXApRiuCQAAAJ9hyCWuJD9/G4X974oreQAAAPAZhlziStz+2yhWRgGVWnkpqhsDRR4AAAB8iiGXuBK3/ja8FMuN5IYYrvn555+rSZMmqlWrlh555BH99NNPvg7J43w1GyGzIAIAAImhcfCCIiX42/CR6/5K3qJFizRq1CgNHTpUtWvX1rRp09StWzf9+9//Vnh4uK/D8xhfzUbILIgAAEBiaBy8ILAYw3F95Lov8qZOnapHH31U7dq1kyQNHTpUy5cv15w5c9SjRw8fR+dZvpqNkFkQAQCAxNA4eAfDcQvedV3kZWdna8eOHerZs6djWUBAgOLj47V58+Yr9snOzna8Pn36tCTJZrN5N1gPCNFZlbG4VmyFKFA2W2Ch2W/R3POy2Sz09dO+7vxdlSxZUhaLxaU++eGJHJMZUlT2MiVd2m9g0UDZbTb60tcv+gaEFJVugP+XpRszx+SHPbeEjD3MpT6W3BIKyGd8bu03J0gBNht96XtpXw/8TRYUb+UYizHX741Vx44d0z333KNZs2YpLi7OsXzs2LHauHGjvvzyy0v6vP/++5o0aVJBhgnAh3788UeFhBTc0GFyDFC4kGMAeJO3cozfFXl//QbMbrfr1KlTKl26dIF+E+dJNptNiYmJWrFiRYH+R3M94RxwDq50/L7+lp0c4x84B5wDcoz3FPa/LYlzUNiPXyr4HHNdD9e86aabFBgYqPT0dKfl6enpioiIuGyf4OBgBQcHOy0rVaqU12IsSCEhIYX2jXER54Bz4OvjJ8f4N84B58DXx0+O8W+F/RwU9uOXCu4cXNePUAgODlbNmjW1du1axzK73a61a9c6XdkDAAAAAFxwXV/Jk6QuXbpowIABio6OVkxMjKZNm6azZ8+qbdu2vg4NAAAAAK47132R17JlS504cUITJ05Uamqq7rjjDk2ZMuWKwzX9UXBwsPr06XPJ8I3ChHPAOSjsx+9NnFvOgcQ5KOzH702cW85BYT9+qeDPwXU98QoAAAAAwDXX9T15AAAAAADXUOQBAAAAgB+hyAMAAAAAP0KRBwAAAAB+hCKvACQnJ6tdu3aKi4tTw4YN9cwzzyglJcWpzblz5zR06FA1aNBAcXFxeu6555SWlubU5siRI+rRo4dq166thg0basyYMTp//rxTm/Xr16tNmzaKjo7Wfffdp6+++srrx+eOjz76SFFRUXrrrbccywrDOTh27JheeuklNWjQQDExMUpKStK2bdsc640xmjBhghISEhQTE6POnTtr//79Tts4efKk+vfvrzp16qhevXoaNGiQzpw549Rm165devzxx1WrVi0lJibq448/LojDu6bc3FyNHz9eTZo0UUxMjJo1a6YPPvhAf57/yd/PgTeQYy5FjiHHkGM8hxxzKXIMOea6zzEGXte1a1czZ84c88svv5idO3ea7t27m3vvvdecOXPG0ebNN980iYmJZs2aNWbbtm3m0UcfNe3bt3esP3/+vHnwwQdN586dzc8//2yWL19uGjRoYN555x1HmwMHDpjatWubUaNGmb1795oZM2aYO+64w/zwww8FerzXsnXrVtO4cWOTlJRkRowY4Vju7+fg5MmTpnHjxmbgwIFm69at5sCBA2blypXmt99+c7RJTk42devWNUuXLjU7d+40vXr1Mk2aNDFZWVmONt26dTMPPfSQ2bJli9m4caO57777zIsvvuhYf/r0aRMfH2/69+9vfvnlF7NgwQITExNjZs2aVaDHezmTJ082d955p/nPf/5jDh48aL799lsTGxtrpk2b5mjj7+fAG8gxzsgx5BhyjGeRY5yRY8gxN0KOocjzgfT0dGO1Ws2GDRuMMcZkZGSYmjVrmm+//dbRZu/evcZqtZrNmzcbY4xZvny5qV69uklNTXW0+eKLL0ydOnXMuXPnjDHGjB071rRq1cppXy+88ILp2rWrl48o72w2m7n//vvN6tWrzZNPPulIjoXhHLz99tvmscceu+J6u91uGjVqZKZMmeJYlpGRYaKjo82CBQuMMf87Jz/99JOjzYoVK0xUVJT5/fffjTHGfP7556Z+/fqOc3Jx382bN/f0IbmsR48e5tVXX3Va1qdPH9O/f39jTOE4BwWBHEOOuZzC8P4ixxQMcgw55nIKw/vrRsoxDNf0gdOnT0uSwsLCJEnbt29XTk6O4uPjHW2qVq2q8uXLa8uWLZKkLVu2yGq1Oj0EPiEhQTabTXv37nW0adiwodO+EhISHNu4HgwbNkyJiYlOxyoVjnPw/fffKzo6Wn379lXDhg3VunVrzZ4927H+0KFDSk1NdToHoaGhql27tjZv3ixJ2rx5s0qVKqVatWo52sTHxysgIEA//fSTpAvnoF69ek4P20xISNCvv/6qU6dOefswryouLk7r1q3Tr7/+KunCUIQff/xR99xzj6TCcQ4KAjmGHEOOIcd4EzmGHEOOuf5zTJH8HSpcZbfbNXLkSNWpU0dWq1WSlJaWpqCgIJUqVcqpbXh4uFJTUx1t/pwUJDleX6uNzWZTVlaWihUr5pVjyquFCxfq559/1r/+9a9L1hWGc3Dw4EHNnDlTXbp0Ua9evbRt2zaNGDFCQUFBatOmjeMYwsPDnfqFh4c7xvSnpaWpTJkyTuuLFCmisLAwp3NQsWJFpzYXz0laWprjP2Vf6NGjh2w2mx544AEFBgYqNzdX/fr100MPPSRJheIceBs5hhxDjiHHeBM5hhxDjrkxcgxFXgEbOnSo9uzZoy+++MLXoRSoo0eP6q233tKnn36qokWL+jocnzDGKDo6Wi+++KIkqUaNGtqzZ49mzZqlNm3a+Di6gvHtt99q/vz5euedd1StWjXt3LlTo0aNUtmyZQvNOfA2cgw5hhxDjvEmcgw5hhxzY+QYhmsWoGHDhmn58uWaNm2aypUr51geERGhnJwcZWRkOLVPT09XZGSko81fZ2i6+PpabUJCQnz+7deOHTuUnp6utm3bqkaNGqpRo4Y2bNigGTNmqEaNGoXiHERGRqpq1apOy2677TYdOXLEsV66cMx/lp6e7vj2JiIiQidOnHBaf/78eZ06dSpP5+mv3w4WtLFjx6pHjx5q1aqVoqKi1Lp1a3Xq1EnJycmSCsc58CZyDDmGHEOO8SZyDDmGHHPj5BiKvAJgjNGwYcO0dOlSTZs2TZUqVXJaHx0draCgIK1du9axLCUlRUeOHFFsbKwkKTY2Vr/88ovTH82aNWsUEhKiatWqOdqsW7fOadtr1qxxbMOX7rrrLs2fP1/z5s1z/ERHRyspKcnxu7+fgzp16jjGcF+0f/9+VahQQZJUsWJFRUZGOp0Dm82mrVu3Ki4uTtKFseAZGRnavn27o826detkt9sVExMj6cI52LRpk3Jychxt1qxZoypVqvh8CFFWVpYsFovTssDAQMfUw4XhHHgDOYYcI5FjJHKMt5BjyDESOUa6wXJMnqdogdsGDx5s6tata9avX2+OHz/u+Dl79qyjzZtvvmnuvfdes3btWrNt2zbTvn37y06727VrV7Nz507zww8/mLvuuuuy0+6OGTPG7N271/zjH/+4bqbdvZw/z0pljP+fg61bt5oaNWqYyZMnm/3795tvvvnG1K5d23z99deONsnJyaZevXpm2bJlZteuXaZ3796XnXa3devWZuvWrWbTpk3m/vvvd5p2NyMjw8THx5uXX37Z/PLLL2bhwoWmdu3a18XUwwMGDDB33323Y+rhJUuWmAYNGpixY8c62vj7OfAGcszlkWPIMeQYzyDHXB45hhxzPecYirwCYLVaL/szZ84cR5usrCwzZMgQU79+fVO7dm3z7LPPmuPHjztt59ChQ+bpp582MTExpkGDBmb06NEmJyfHqc26devMww8/bGrWrGmaNm3qtI/rzV+TY2E4B99//7158MEHTXR0tGnRooX55z//6bTebreb8ePHm/j4eBMdHW06depkUlJSnNr88ccf5sUXXzSxsbGmTp06ZuDAgcZmszm12blzp3nsscdMdHS0ufvuu01ycrLXjy0vTp8+bUaMGGHuvfdeU6tWLdO0aVPz7rvvOk0R7O/nwBvIMZdHjiHHkGM8gxxzeeQYcsz1nGMsxvzpEe0AAAAAgBsa9+QBAAAAgB+hyAMAAAAAP0KRBwAAAAB+hCIPAAAAAPwIRR4AAAAA+BGKPAAAAADwIxR5AAAAAOBHKPIAAAAAwI9Q5MHroqKitGzZMl+HAcBPkWMAeBM5BjciizHG+DoI3NhOnDihCRMmaMWKFUpLS1NYWJiqV6+uZ555RnXr1lVqaqrCwsIUHBxcoHE1adJEHTt2VOfOnQt0vwA8ixwDwJvIMfBHRXwdAG58zz33nHJycjR69GhVqlRJ6enpWrt2rU6ePClJioyM9G2A+ZSdnV3giR3A/5BjAHgTOQZ+yQD5cOrUKWO1Ws369euv2MZqtZqlS5c6Xv/444/moYceMtHR0aZNmzZm6dKlxmq1mp9//tkYY8y6deuM1Wo1a9asMW3atDExMTGmffv2Zt++fY5t/Pbbb6ZXr16mYcOGJjY21rRt29asXr3asf7JJ580VqvV6ccYYyZOnGgeeughp/imTp1qGjdu7Hg9YMAA07t3b/P3v//dNGrUyLHuyJEjpm/fvqZu3bqmfv36plevXubgwYOOfuvWrTPt2rUztWvXNnXr1jXt27c3hw4dcue0Avj/yDHkGMCbyDHkGH/FPXnIlxIlSqhEiRJatmyZsrOzr9neZrOpd+/eslqtmjt3rp5//nm9/fbbl2373nvvaeDAgZozZ44CAwM1aNAgx7rMzEwlJibqs88+09y5c3X33XerV69eOnLkiCTp/fffV7ly5dS3b1+tWrVKq1atcum41q5dq19//VVTp05VcnKycnJy1K1bN5UsWVKff/65Zs6cqRIlSujpp59Wdna2zp8/r2effVb169fXN998o3/+859q3769LBaLS/sF4IwcQ44BvIkcQ47xVwzXRL4UKVJEo0eP1htvvKFZs2apRo0auvPOO9WyZUtVr179kvbz58+XJI0YMUJFixZVtWrVdPz4cb3++uuXtO3Xr5/uvPNOSVKPHj3Uo0cPnTt3TkWLFlX16tWdtv/CCy9o2bJl+v777/Xkk0+qdOnSCgwMVMmSJd0aZlGiRAmNGDHCMbzh66+/lt1u11tvveVIeKNGjVL9+vW1YcMGRUdH6/Tp02rcuLFuueUWSVLVqlVd3i8AZ+QYcgzgTeQYcoy/oshDvjVv3lz33nuvNm3apC1btmjlypWaMmWKRowYobZt2zq1/fXXXxUVFaWiRYs6ltWqVeuy242KinL8fjHBpaenq3z58jpz5owmTZqk5cuXKzU1Vbm5ucrKynJ8A5ZfVqvVafz6rl27dODAAdWpU8ep3blz53TgwAElJCSobdu26tatmxo1aqSGDRvqgQceUNmyZT0SD1CYkWPIMYA3kWPIMf6IIg8eUbRoUTVq1EiNGjXSs88+q9dee03vv//+JcnRFUWK/O/P8+K3Tna7XZI0ZswYrVmzRgMGDNAtt9yiYsWKqW/fvsrJybnqNi0Wi8xfJpQ9f/78Je2KFy/u9DozM1M1a9bUuHHjLmlbpkwZSRe+EXvqqae0cuVKffvttxo/frymTp2q2NjYax8sgKsix5BjAG8ix5Bj/A335MErqlWrpszMzEuWV6lSRb/88ovTuPdt27a5vP3NmzerTZs2uu+++xQVFaWIiAgdPnzYqU1QUJAjmV5UpkwZpaWlOSXInTt3XnN/NWvW1G+//abw8HBVrlzZ6Sc0NNTRrkaNGurZs6dmzZolq9WqBQsWuHxsAK6NHEOOAbyJHEOOudFR5CFf/vjjD3Xs2FFff/21du3apYMHD+rbb7/VlClT1LRp00vaJyUlyRijN954Q/v27dPKlSv16aefSpJLN/dWrlxZS5cu1c6dO7Vr1y7179//kkRYoUIFbdy4UceOHdOJEyckSQ0aNNCJEyf08ccf68CBA/r888+1cuXKa+4vKSlJN910k3r37q1Nmzbp4MGDWr9+vUaMGKHff/9dBw8e1DvvvKPNmzfr8OHDWrVqlfbv36/bbrstz8cE4FLkGHIM4E3kGHKMv2K4JvKlZMmSql27tqZNm6YDBw7o/PnzKleunB555BH16tXrkvYhISGaPHmyhgwZoocfflhWq1XPPvus+vfv79IzXAYOHKhBgwapQ4cOuummm9S9e3edOXPGqU3fvn315ptvqlmzZsrOztbu3btVtWpVDR48WMnJyZo8ebLuv/9+de3aVbNnz77q/ooXL65//OMfGjdunPr06aMzZ87o5ptvVsOGDRUSEqKsrCylpKRo7ty5OnnypMqWLasnnnhCHTp0yPMxAbgUOYYcA3gTOYYc468s5q8De4EC9s0332jQoEHatGmTihUr5utwAPgZcgwAbyLH4HrElTwUuHnz5qlixYq6+eabtXv3bo0bN04tWrQgMQLwCHIMAG8ix+BGQJGHApeamqqJEycqNTVVkZGRatGihfr16+frsAD4CXIMAG8ix+BGwHBNAAAAAPAjzK4JAAAAAH6EIg8AAAAA/AhFHgAAAAD4EYo8AAAAAPAjFHkAAAAA4Eco8gAAAADAj1DkAQAAAIAfocgDAAAAAD/y/wADYi44MdR1fgAAAABJRU5ErkJggg=="}, "type": "data"}]}, {"code_hash": "99a7365eecba194039fdb96a2dcab55c", "console": [], "id": "SFPL", "outputs": [{"data": {"text/html": "<span class=\"markdown prose dark:prose-invert\"><h3 id=\"signatures-per-2024-general-election-vote\">Signatures per 2024 General Election Vote</h3></span>"}, "type": "data"}]}, {"code_hash": "023906111e4b27f1cef1d2ff06c48dff", "console": [], "id": "BYtC", "outputs": [{"data": {"image/png": "data:image/png;base64,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"}, "type": "data"}]}, {"code_hash": "cba6e01b9efc6b41a6801be63e0d6722", "console": [], "id": "RGSE", "outputs": [{"data": {"text/html": "<span class=\"markdown prose dark:prose-invert\"><h3 id=\"signatures-vs-votes\">Signatures vs. Votes</h3></span>"}, "type": "data"}]}, {"code_hash": "1c07fb5ddd977af045d1b19502d582be", "console": [], "id": "Kclp", "outputs": [{"data": {"image/png": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAABKYAAAJNCAYAAAALTX2dAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjUsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvWftoOwAAAAlwSFlzAAAPYQAAD2EBqD+naQABAABJREFUeJzsnXecXVW5v5+19z5teksPCSGQUJKQCF6UG4qA4FVRsVwQAUWFCHoB6VURFEJTUFAD3AsCKlcUuIAoUn4iSBFCIARCKiF1Mr2dusv6/bHOOXPOtMwkM2m8z+czyZxd1z5z9jprfff7fl+ltdYIgiAIgiAIgiAIgiAIwnbG2tENEARBEARBEARBEARBED6ciDAlCIIgCIIgCIIgCIIg7BBEmBIEQRAEQRAEQRAEQRB2CCJMCYIgCIIgCIIgCIIgCDsEEaYEQRAEQRAEQRAEQRCEHYIIU4IgCIIgCIIgCIIgCMIOQYQpQRAEQRAEQRAEQRAEYYcgwpQgCIIgCIIgCIIgCIKwQxBhShAEQRAEQRAEQRAEQdghiDAlCLsw06dP55lnntnRzRAEYZh4+OGHOfjgg3d0MwRB2AKF37/r169n+vTpLF26dIe0RfoNQRCGk4ULF3L88cdzwAEHcPbZZ+/o5ggfEkSYEnYZGhsbufbaazn66KOZMWMGRxxxBN/5znd4+eWXd3TTRpxf/OIXfP7zn++1/MUXX+Twww/fAS0SBKE/Lr30UhnICcIuzpbu413t+3f69On5n9mzZ3Psscdy6aWXsmTJkh3dtBHnqKOO4t57793RzRCEEefSSy/N3+cHHHAARx11FDfeeCPpdHpIx5k/fz777rsvzz77LPPnzx+h1g6egcT3LT0k6Orq4tRTT+XTn/409fX126W9wtbh7OgGCMJgWL9+PV/96lepqKjg4osvZtq0aXiex4svvsiPfvQj/vrXv+7oJvaJ67qEQqERO/6oUaNG7NiCIHx40Frj+z6OI8MCQRgM2+P7N5PJEA6Hh+14119/PYcddhjpdJo1a9bwhz/8gf/8z//kuuuu4wtf+MKwnWd7IH2WIPTNYYcdxvXXX4/nebzzzjtccsklKKW46KKLBn2MtWvXctJJJzF27Nitbsdw919bQ0tLC9/+9rexLIvf/va3VFdX79D2CAMjEVPCLsGPfvQjlFI89NBDHHfccUyZMoV99tmH008/nT/84Q8AbNy4kbPOOos5c+bwkY98hHPPPZempqb8MXJRR48++ihHHXUUBx10EN///vfp6urKb/PXv/6V448/nlmzZnHIIYfwjW98g0QikV//0EMP8R//8R/MnDmTT33qU/z2t7/Nr8up9E8++SSnnHIKM2fO5Pe//z2zZs3i+eefL7qep59+mjlz5pBMJgG46aabOO644zjwwAM5+uijufXWW3FdFzBPCW6//Xbee++9/FOQhx9+GCh+SnDSSSdx0003FZ2npaWFAw44gNdeew0wXxI33HADhx12GLNnz+YrX/kKr7766rb9cQRBGDT33HMPxx9/PLNnz+aII47g6quvJh6P99rumWee4dhjj2XmzJl861vfYtOmTUXrf/e733HMMccwY8YMjjvuOB599NH8ur6eGHZ0dDB9+vT8/f7qq68yffp0nn/+eb74xS8yc+ZMFi5cODIXLQi7IX2l0q9evZqTTjqJmTNn8tnPfpZ//etfReuXL1/Ot7/9bebMmcOhhx7KRRddREtLS379qaeeyjXXXMNPfvITDjnkEL71rW8Bg+83tkRFRQWjRo1i4sSJzJ07l5///Occf/zxXHPNNbS3t+e3e/311zn55JOZNWsWRxxxBD/+8Y+LxkJHHXUUv/zlL7n44ouZM2cOn/jEJ3j22WdpaWnJj8OOP/543n777aLzP/XUU3zmM59hxowZHHXUUfzP//xP0fpMJsNNN93EEUccwYwZM/jkJz/JQw89BPTfZ61du5azzjqLQw89lDlz5vClL32Jl156qeg93bBhA9dff31+DCUIuzPhcJhRo0Yxbtw4jjnmGA499NCieyIIAhYsWMBRRx3FrFmz+NznPpd/wJ8bP7S1tXH55ZcXzTn+9a9/8eUvf5kZM2Ywd+5cbr75ZjzPyx+3r/4rd9++8MILfOELX2DWrFmcdtppNDc38/zzz/Mf//EffOQjH+GCCy7Iz4mGi02bNnHyySdTXl7Ob37zGxGldgFEmBJ2etra2njhhRf42te+RklJSa/1FRUVBEHA2WefTXt7O/fffz/33HMP69at4/vf/37RtmvXruXZZ5/l17/+NQsWLOC1117jrrvuAqChoYELLriAL33pSzz55JPcd999fPKTn0RrDcBjjz3Gbbfdxve//32efPJJzj//fH7+85/zyCOPFJ3j5ptv5rTTTuPJJ5/kU5/6FEceeSRPPPFE0TaPP/44xxxzDLFYDIDS0lKuv/56/vznP3PFFVfw0EMP5cPOP/3pT/PNb36TffbZhxdffJEXX3yRT3/6073eh+OPP54nn3wy316AJ598ktGjR+fDX6+55hoWLVrEz372Mx577DE+9alP8e1vf5s1a9YM4S8iCMLWopTiiiuu4IknnmD+/Pm88sorvQTlVCrFr371K2644QZ+//vf09HRUdSXPf3001x33XWcfvrpPP7445x00klcfvnlvPLKK0Nuzy233MIFF1zAk08+KRM2QdhGbrzxRk4//XQeffRRZs+ezXe+8x1aW1sBIw5//etfZ//99+ePf/wjd999N83NzZx33nlFx3jkkUcIhUL8/ve/50c/+hEwuH5ja/nGN75BPB7nn//8J2DGSWeccQbHHnssjz32GD/72c9YuHAh1157bdF+v/nNb/jIRz7CI488whFHHMHFF1/MxRdfzOc+9zkefvhhJk2axCWXXJIfkyxZsoTzzjuPT3/60zz++ON873vf47bbbstPegEuvvhi/vznP3PllVfyl7/8hWuuuYbS0tKi8/bssxKJBEcccQT33nsvjzzyCIcddhjf+c532LhxI2AeSo4dO5ZzzjknP4YShA8Ly5cvZ9GiRUXZGwsWLODRRx/lRz/6EX/+85/5xje+wUUXXcS//vUvxo0bx4svvkhZWRmXX355fs6xefNmzjzzTGbOnMn//d//cfXVV/PHP/6RX/3qV0Xn66v/Arj99tu56qqrePDBB6mvr+e8887jvvvu45ZbbuHOO+/kxRdf5P777x+2637//ff56le/yt57781dd93Vqx8RdlK0IOzkvPXWW3ratGn6b3/7W7/bvPjii3q//fbTGzduzC9bsWKFnjZtmn7rrbe01lr//Oc/1wceeKDu7OzMb3PDDTfor3zlK1prrZcsWaKnTZum169f3+c5jjnmGP34448XLbvjjjv0iSeeqLXWet26dXratGn63nvvLdrm6aef1rNnz9aJREJrrXVnZ6eeOXOmfv755/u9nrvvvlufcMIJ+dc///nP9ec+97le202bNk0//fTTWmutm5ub9f77769fe+21/PoTTzxR33TTTVprrTds2KD3228/XV9fX3SMr3/96/qWW27pty2CIAyNSy65RJ911lmD2vYvf/mL/rd/+7f86z/96U962rRp+s0338wvW7lyZVFfduKJJ+orr7yy6DjnnHOOPuOMM7TW3X3Ru+++m1/f3t6up02bpl955RWttdavvPJKUf8hCEIxW7qPC++f3D23YMGC/HrXdfXhhx+u77zzTq21GS9885vfLDrGpk2b9LRp0/Tq1au11lqfcsop+gtf+MIW29ZXv3HQQQcNuE9/93sqldLTpk3Lt/Pyyy/XV111VdE2r732mt533311KpXSWmv9iU98Ql944YX59Q0NDXratGn61ltvzS9btGiRnjZtmm5oaNBaa33++efr008/vei4N9xwg/70pz+ttdZ69erVetq0afqf//xnn+0fSp/1mc98Rt9///3515/4xCf0Pffcs8X9BGFX55JLLtH77befnj17tp4xY4aeNm2a3nffffVf//pXrbXW6XRaH3jggfqNN94o2u/yyy/X559/fv71QQcdpP/0pz/lX//0pz/Vxx13nA6CIL/sgQce0LNnz9a+72ut++6/cvftSy+9lF+2YMECPW3aNL127dr8squuuqpX/1jIQH1cX33xAQccoE899VTteV6/xxR2PiQxW9jp0QURQP2xatUqxo4dy7hx4/LL9t57byoqKli9ejWzZs0CYMKECZSVleW3GT16NM3NzQDsu+++fPzjH+f4449n7ty5zJ07l+OOO47KykoSiQRr167liiuu4Kqrrsrv73ke5eXlRW2ZMWNG0evDDz+cUCjEc889x2c+8xmeeuopysrKOPTQQ/Pb5CK01q1bRyKRwPO8onYOhpqaGv793/+dxx57jIMPPph169axaNGi/BOL5cuX4/s+n/rUp4r2y2QyVFVVDelcgiBsHS+99BILFixg9erVdHV14fs+6XSaZDKZj6B0HIeZM2fm95k6dSoVFRWsWrWKWbNmsXr1ak488cSi437kIx/hvvvuG3J7Cs8jCMK2MWfOnPzvjuMwY8YMVq9eDcB7773Hq6++WrRNjrVr1zJlyhQADjjggF7rB9NvbC25MZZSKt/OZcuW8fjjjxdtEwQB69evZ+rUqQBFEZZ1dXUATJs2Lb+strYWgObmZkaNGsXq1as5+uiji86d67d832fp0qXYts1HP/rRAdvbs8+Kx+Pcfvvt/P3vf6exsRHf90mlUvmIKUH4sHHIIYdw9dVXk0wmuffee7Ftm+OOOw6ADz74gGQyyTe/+c2ifVzXZb/99uv3mKtWrWLOnDn5fgLgoIMOIpFIUF9fz/jx44G++y8o7i9qa2uJxWLsscce+WV1dXW9Un+3haOOOopnn32Wv/3tb/zHf/zHsB1XGFlEmBJ2eiZPnoxSKj+42xb6MsnMDcps2+aee+7hjTfe4J///Cf3338/P/vZz/jDH/6QH/hde+21HHjggUX7W1ZxRmzPdMNwOMxxxx3H448/zmc+8xmeeOIJPv3pT+fbsmjRIi688EL+67/+i7lz51JeXs6f//xn7rnnniFf3/HHH8+Pf/xjrrrqKp544gmmTZuW/zJIJBLYts2f/vQnbNsesM2CIAw/69evZ968eXz1q1/l+9//PpWVlSxcuJArrrgC13W3eYKZI9cnFYr6hT4QhQzXOQVBGJhEIsEnPvEJLrzwwl7rCo3Ue96TI91vrFq1CoCJEyfm23nSSSdx6qmn9tq28OFf4XgqN1ktTBfKLRvMw0WAaDQ6qO16Xu8NN9zASy+9xCWXXMKkSZOIRqOcc845eZ9OQfiwEYvFmDx5MgDXXXcdn//853nooYf4yle+kveKW7BgAWPGjCnabziMyvvrj3r2Fz3nY0opgiDo97hlZWUkk0mCICiad3V0dOTXF3LWWWcxffp0LrzwQrTWfVqgCDsf4jEl7PRUVVUxd+5cfvvb3xaZb+bo6Ohg6tSp1NfXFxkEr1y5Mr9usCilOOiggzjnnHN49NFHCYVCPPPMM9TV1TF69GjWrVvH5MmTi34KFf/+OP7443nxxRdZsWIFr7zyCscff3x+3aJFixg/fjxnnXUWM2fOZM899+z1pC8UCg3YYec4+uijyWQyvPDCCzzxxBNF59lvv/3wfZ+WlpZe1yDV/QRh5HnnnXfQWnPppZcye/ZspkyZQkNDQ6/tPM8rKuG+evXqor5sr7324o033ija54033mDvvfcGTPQkQGNjY359oRG6IAgjw5tvvpn/PVcRa6+99gJMJMGKFSuYMGFCr+/ggR4ODbbf2Fp+85vfFEVx77///qxcubJXGydPnrxNE9f++q0999wT27aZNm0aQRDki7UMlkWLFnHCCSfwyU9+kunTp1NXV8eGDRuKthnsGEoQdjcsy2LevHncdtttpFIppk6dSjgcZuPGjb3u70LhuSdTp05l0aJFRULzwoULKS0t3abKfYNlypQpeJ7Xayzzzjvv5Nf35Lvf/S7f+973uOiii3jyySdHvI3CtiPClLBL8MMf/pAgCPjKV77CU089xZo1a1i1ahX33XcfJ554IoceeijTpk3jwgsv5J133mHx4sVcfPHF/Nu//dugU1Xeeustfv3rX/P222+zceNG/va3v9HS0pIfVJ5zzjnceeed3Hfffbz//vssW7aMP/3pT4OKbProRz9KXV0dF154IRMnTiyKupo8eTKbNm3iz3/+M2vXruW+++7rVelnwoQJrF+/nqVLl9LS0kImk+nzPCUlJRx99NHcdtttrFq1is9+9rP5dVOmTOH444/n4osv5m9/+xvr1q1j8eLFLFiwgL///e+Deo8EQRgcnZ2dLF26tOinuroa13W5//77WbduHY8++igPPvhgr31DoRDXXnstb731FkuWLOGyyy5j9uzZ+ZTkb3/72zzyyCP87ne/Y82aNdxzzz08/fTT+dD8aDTK7NmzufPOO1m1ahX/+te/uPXWW7fn5QvCbkFf93HPCpmF/O53v+Ppp59m1apV+Up3X/rSlwA4+eSTaW9v5/zzz2fx4sWsXbuWF154gcsuuwzf9/s95uTJkwfVbwyGjo4OGhsb2bBhA//85z8555xzeOKJJ7j66qupqKgA4IwzzmDRokVcc801LF26lDVr1vDMM89wzTXXbNU5c3zzm9/k5Zdf5o477uD999/nkUce4be//W2+35o4cSInnHACl19+Oc888wzr1q3j1Vdf3eKEcvLkyTz99NMsXbqU9957jwsuuKCXCDVhwgRee+01Nm/eXFQFURA+DHzqU5/Csix++9vfUlZWxje/+U2uv/56HnnkEdauXcs777zD/fff36uYUyEnn3wy9fX1XHvttaxatYpnnnmGX/ziF5x++um9MkdGgn322Ye5c+dy+eWX8/LLL7Nu3Tr+8Y9/8KMf/YhPf/rTvaK/cpx11lmce+65XHjhhb0KUQk7H5LKJ+wS7LHHHjz88MP8+te/5oYbbqChoYGamhoOOOAArr76apRS/PKXv+Taa6/llFNOQSnFYYcdVuQHtSXKysp47bXX+M1vfkNXVxfjx4/n0ksv5YgjjgDgK1/5CtFolP/+7//mxhtvpKSkhGnTpvH1r399i8dWSvGZz3yGu+++m+9+97tF644++mi+/vWvc80115DJZDjyyCM566yzuP322/PbHHfccTz99NOcdtppdHR0cP311/PFL36xz3Mdf/zxnHnmmXz0ox/N53znuP766/nVr37F/PnzaWhooKqqitmzZ3PkkUcO+n0SBGHL/Otf/+ILX/hC0bIvf/nLXHbZZdx111389Kc/5eCDD+b888/nkksuKdouGo1yxhlncMEFF7B582YOPvhgfvKTn+TXH3PMMVx++eX8z//8D9dddx0TJkzguuuu45BDDslvc91113HFFVfwxS9+kSlTpnDRRRf18pQQBGFg+ruPC+/HQi644ALuvPNOli5dyuTJk/nVr36Vj2AcM2YMv//977n55pv51re+RSaTYfz48Rx22GEDTuz23XffQfUbg+Gyyy4DIBKJMGbMGA466CAeeuihIl+Yfffdl/vvv59bb72Vk08+GTBjsG1NhTnggAO49dZb+fnPf86vfvUrRo0axTnnnFM0lrn66qv56U9/ytVXX01bWxvjx49n3rx5Ax730ksv5fLLL+ekk06iurqaM844g3g8XrTNOeecww9+8AOOOeYYMpkMy5Yt26ZrEYRdCcdxOOWUU7j77rv56le/ynnnnUdNTQ0LFixg/fr1lJeXs//++/Od73yn32OMGTOGO++8kxtvvJE//OEPVFVV8eUvf5mzzjpru13Hz372M37+85/zgx/8gIaGBsaOHcsxxxzD2WefPeB+Z555JkopLr74YrTWRdkkws6F0oNN/hYEQRAEQRAEQRAEQRCEYURS+QRBEARBEARBEARBEIQdgghTgiAIgiAIgiAIgiAIwg5BhClBEARBEARBEARBEARhhyDClCAIgiAIgiAIgiAIgrBDEGFKEARBEARBEARBEARB2CGIMDUCaK3p6upCCh4KgjBcSL8iCMJIIH2LIAjDjfQrgiAMFRGmRoB4PM5BBx1EPB7f0U0RBGE3QfoVQRBGAulbBEEYbqRfEQRhqIgwJQiCIAiCIAiCIAiCIOwQRJgSBEEQBEEQBEEQBEEQdggiTAmCIAiCIAiCIAiCIAg7BBGmBEEQBEEQBEEQBEEQhB2CCFOCIAiCIAiCIAiCIAjCDkGEKUEQBEEQBEEQBEEQBGGHIMKUIAiCIAiCIAiCIAiCsEMQYUoQBEEQBEEQBEEQBEHYIYgwJQiCIAiCIAiCIAiCIOwQRJgSBEEQBEEQBEEQBEEQdggiTAmCIAiCIAiCIAiC8KEj4wc7ugkCIkwJgiAIgiAIgiAIgvAhoz3j0ZTxdnQzBMDZ0Q0QBEEQBEEQBEEQBEHYHmitaXY9OlyfiKV2dHMERJgSBEEQBEEQBEEQBOFDgBdoGjMuCT9A7+jGCHkklU8QBEEQBEEQBEEQhN2atB9Qn84Qz4pSaxJpnqhvp8P1d3TTPvRIxJQgCIIgCIIgCIIgCLstXZ5PU8bD0xqtNQ9uaOUXqxvwgX+2xrnvI1N2dBM/1IgwJQiCIAiCIAiCIAjCbklbxqPV9fCBuOfzk+X1PNvUmV8vBug7HhGmBEEQBEEQBEEQBEHYrdBa05Tx6PR8AmB1PM2l727gg2Qmv82YiMNN+0/ccY0UABGmBEEQBEEQBEEQBEHYjfACTUPGJZn1k/pbQwfXLd9EMui2PP+3qhJu3H8CB1TEdlxDBWAnMj9/7bXX+M53vsPcuXOZPn06zzzzTNF6rTW33XYbc+fOZdasWXzjG99gzZo1Rdu0tbVxwQUX8JGPfISDDz6Yyy+/nHg8XrTNe++9x8knn8zMmTM54ogjuOuuu3q15S9/+Quf+tSnmDlzJscffzzPP//8sF+vIAiCIAiCIAiCIAjDS8oP2JTKkPADMoHmlpWbueq9jUWi1Ol71HLrzD2oCUuszs7ATiNMJRIJpk+fzg9/+MM+1991113cf//9XH311fzhD38gFovxrW99i3Q6nd/mwgsvZOXKldxzzz38+te/5vXXX+cHP/hBfn1XVxff+ta3GD9+PA8//DAXX3wxt99+O//7v/+b3+aNN97gggsu4Mtf/jKPPvooRx99NN/97ndZvnz5yF28IAiCIAiCIAiCIAjbRJfrU592SWvN5rTLWYvX8oeNrfn15Y7FLQdM5DtTRmErtQNbKhSy0whTRxxxBN///vf55Cc/2Wud1pr77ruPs846i2OOOYZ9992XG2+8kYaGhnxk1apVq3jhhRf48Y9/zIEHHsjBBx/MlVdeyZ///Gc2b94MwGOPPYbrulx33XXss88+fOYzn+HUU0/lnnvuyZ/rvvvu47DDDuPb3/42U6dO5bzzzmP//ffngQce2D5vhCAIgiAIgiAIgiAIQ6Il49GQcfG05vXWOF9/Yw1vdyTz66eXRbhvzp7MrS3bga0U+mKnEaYGYv369TQ2NnLooYfml5WXl3PggQeyaNEiABYtWkRFRQUzZ87Mb3PooYdiWRaLFy8G4M033+Tggw8mHA7nt5k7dy7vv/8+7e3t+W0+/vGPF51/7ty5vPnmm/22L5PJ0NXVVfQjCIKwLUi/IgjCSCB9iyAIw430K8KOJtCazekMra6HpzX3rm3mv95eR6vr57f5/NhK7jxwMuNj3VqAAhxLoqZ2BnaJhMrGxkYAamtri5bX1tbS1NQEQFNTEzU1NUXrHcehsrIyv39TUxMTJxY77tfV1eXXVVZW0tTUlF/W13n6YsGCBdx+++1bcWWCIAh9I/2KIAgjgfQtgiAMN9KvCDsSN9A0pDOkAk2H5/OjZZt4oblbHI1Yigv3HsPnxlYV7WcDlSGH6pC9fRss9MkuIUzt7MybN4/TTz89/7qrq4sjjjhiB7ZIEIRdHelXBEEYCaRvEQRhuJF+RdhRJP2AxrRLRmuWd6W49N0NbEi5+fXjoyHm7z+B6WXRov2ilqI2HCJm7xIJZB8KdglhatSoUQA0NzczevTo/PLm5mb23XdfwEQ+tbS0FO3neR7t7e35/evq6npFPuVe56Kk+tqmubm5VxRVIeFwuCg9UBAEYVuRfkUQhJFA+hZBEIYb6VeEHUGn69Hs+nha80R9Gzeu3Ey6oOre3JpSfjh9PBUFEVEWUOpY1IVDYny+k7FLSIQTJ05k1KhRvPzyy/llXV1dvPXWW8yZMweAOXPm0NHRwZIlS/LbvPLKKwRBwKxZswCYPXs2r7/+Oq7braK+9NJLTJkyhcrKyvw2r7zyStH5X3rpJWbPnj1SlycIgiAIgiAIgiAIwhbQWtOccWnMeMR9n+uWb+La5fV5UcoCztqzjpsOmFgkSjlKURd2GBMJiyi1E7LTCFPxeJylS5eydOlSwBieL126lI0bN6KU4rTTTuNXv/oVzz77LMuWLePiiy9m9OjRHHPMMQBMnTqVww47jKuuuorFixezcOFCrr32Wj7zmc8wZswYAI4//nhCoRBXXHEFK1as4Mknn+S+++4rCj097bTTeOGFF/if//kfVq1axS9+8QuWLFnCKaecsv3fFEEQBEEQBEEQBEEQ8LVmc9qlzfVZn8xwxpsf8H/17fn1VSGb22buwTcm1WFlxScFxCzFuEiIitAukTD2oWSn+cssWbKE0047Lf/6+uuvB+CEE05g/vz5nHHGGSSTSX7wgx/Q0dHBQQcdxN13300kEsnvc/PNN3Pttdfy9a9/HcuyOPbYY7nyyivz68vLy/nv//5vrrnmGr74xS9SXV3N2WefzYknnpjf5iMf+Qg333wzt956Kz/96U/Zc889ueOOO5g2bdp2eBcEQRAEQRAEQRAEQSgk7Qc0ZVySgeafLV1c/d5GOrwgv/6A8ijX7zeBMdFQfpmFEauqQw5KoqR2apTWWm95M2EodHV1cdBBB7Fw4ULKysp2dHMEQdgNkH5FEISRQPoWQRCGG+lXhOEm7vk0ZTxSQcDdHzTxP2ubi9Z/ZXwV5+41hpDVLT5FlKIm7FDqSNW9XYGdJmJKEARBEARBEARBEAQhR3vGo8X1aHY9rlq6kX+1JfLropbisn3G8qkxlfllFlBiG4Nzx5IoqV0FEaYEQRAEQRAEQRAEQdhp0FrTlPHo9Hze7khy2dINbE57+fWTYmHm7z+BqaXd1j6OUlQ7NpVhkTl2NeQvJgiCIAiCIAiCIAjCToEXaBozLnHP50+b2vjpqs14BQZEn6gr58ppYynLpukpTPRUXThExN5p6rsJQ0CEKUEQBEEQBEEQBEEQdjhpP6Ax49Lq+sxfUc9fGzry62zgu3uN4uQJNXkzcwuoCNnUhJx8JT5h10OEKUEQBEEQBEEQBEEQdihdWZPz1Yk0l727gZXxdH5dbdjmJ/tNYE5lSX5ZSClqw04+ckrYdRFhShAEQRAEQRAEQRCEHUZrxqPV9XiuqZNrlm0i7gf5dbMrYvxkvwnURYx8oYBS26I2HCqqxCfsuogwJQiCIAiCIAiCIAjCdifImpy3uR53vN/IA+tbitafPKGa704Zna+wZyuodhyqxOB8t0L+moIgCIIgCIIgCIIgbFe8QNOQcVmXzHDl0g280Z7MryuxLa6aNpajRlUAJkoqkjU4j4rB+W6HCFOCIAiCIAiCIAiCIGw30n5AQ9rl1bY4VyzdSFPGy6/bqyTM/P0nMLkkAhiD83LHpjYsBue7KyJMCYIgCIIgCIIgCIKwXehyfRozLg+sb+EXqxvwC9YdN6qCy6aNJZaNigopRW3IoSwkBue7MyJMCYIgCIIgCIIgCIIw4rRmPNYn01y7vJ5nmzrzyx0F500dw5fHVaGUQgEx26Iu7BC2JHVvd0eEKUEQBEEQBEEQBEEQRoycyfmb7QkufXcDHyQz+XWjww7X7T+BmRUxAGygMuRQHbJRkrr3oUCEKUEQBEEQBEEQBEEQRoScyfmjm9r4yfJNpAKdX/dvVSVcs+94qrNV9qKWojYcyqfyCR8ORJgSBEEQBEEQBEEQBGHYSfkBG5MZblxVz0Mb24rWnT6pljMm12ErhQWUOhZ14RC2REl96BBhShAEQRAEQRAEQRCEYaXL9XmnK8nF76xnSWcqv7zcsbh6+njm1pYB4ChFbcimPCTyxIcV+csLgiAIgiAIgiAIgjBstGQ8/tbQzhXvbaTN7a67N70swvz9JjA+FjYG59nUvYik7n2oEWFKEARBEARBEARBEIRtJtCazekMv3y/iV+vaSQoWHf8mEou3HsMUdvCAipDNjUhRwzOBRGmBEEQBEEQBEEQBEHYNtxAs7IryWVLN/JCS1d+eVgpLtp7DJ8bV5V/XRt2KHXsHdRSYWdDhClBEARBEARBEARBELaapB/wYnMnF7yzng0pN798fDTE9ftNYN/yKAootY3BuWNJlJTQjQhTgrCTEWjNos0ZmhI+dSU2c8aEsSS8VRB2CDoIcBctJ2hqx6qrJDRnGsoSDwRB2NnROoDWJeh0CypSA9UzUEruXUEQPlwEWrO4I0lLxqMm7DCrIjYi84ou1+d/1jUxf0U96UDnl/97TSlXTx9PRcjGVlDtOFSFRYIQeiOfCkHYiXhuTYL5r7SxrMUl42vCtmJ6TYhLP1bFUXuW9LmPCFmCsHVsSXRKP7eQzvkP4C1bi864qHAIZ/okyi89hchRB+3AlguCMBBB/YsES+9At68APwnKgrLJWDMvxh53+I5uniAIwnbhH82d3LaqgRXxFG6gCVmKfUqjnDt1NHNryoZFsNJaU5/KcOV7G3m0vj2/XAHz9qzj63vUYitFxFLUhUNExeBc6AcRpoQPNTuTqPPcmgTznmqkM6OpjVpEYhZpT7O4McO8pxpZcNyoXuLU1ghZgrCrMxxRTFsSndLPLaR13k3ozgRWbQUqUgFpF3fxKlrn3UT1gotEnBKEQbI9o5eC+hfxX7sU0i0QuOaHAJrfInjhdJh5EfZ+3xmRcwuCIOws/KO5kwuWrKPTC6gO2URCinSgebczydlvfcDoSIimjNdLsDq8tnzQ5/C15s22OOcsWc97Xan88qqQzTX7jueQ6lIsoMyxqQ072DvZg/PtFU0mDI5tFqa6urp45ZVXmDJlClOnTh2ONgnCdmFnEnUCrZn/ShudGc2EMjtfmSIWUkxwFBu6fOa/0saRk7s7zK0RsgRhV2c4opi2JDpV/eoCum78nVk/oa67UkwsgjWhjmBDE53zHyB85BxJ6xOELZCPXupYaUQiK4Sq2Btrv+9ijZ07rOfSOiBYeocRpfwkaB+UA9igNPhpgrdvguoDsMceNqznFgRB2FkItOa2VQ10egHjIt0V72K2wgsCPki6NGU8ppREigSrC5as45YZewxKnMoEAQ9vbOWypRvo8Lrr7h1QHuW6/SYwNhrCUYrakE15aOeLhRkommwo4pwwfAx5RH3uuefywAMPAJBKpfjSl77Eeeedx+c+9zmeeuqpYW+gIIwEOVFncWOGspBiXJlNWUjlRZ3n1iS2a3sWbc6wrMWlNmr1KpeqlKImarGsxWXR5gzQW8iKhSwspYiFLCaU2XRmzPpA675OJwi7JDlByV28ClUWwxpXiyqL5QWl9HMLt3gMHQR0zn+gW3SKRVCWhcqKTrozQceVd+G+94ERrfq4H62acrxla3EXLR+pSxWE3YJc9JJuXQpOKcTGgFOKbluK/9qlBPUvDu8JW5eY9L3AzYpSIZPGp1T2/xD4GYLFN5goLkEQhN2QxR1JVsRTVIfsonGM1pqGjJ/93SyzlCJmW4yNOHR5Abetatji/KHT9fjBexv53tvrikSpL4+vYsGBkxkXDRGzFOMioZ1WlLpgyTre6UxSaluMiTiU2lZenPtHc+eObuKHkiELU6+//joHH3wwAE8//TRaa1577TWuuOIKfvWrXw17A3McddRRTJ8+vdfPj370IwBOPfXUXut+8IMfFB1j48aNnHnmmRx44IF8/OMf54YbbsDzvKJtXn31VU444QRmzJjBJz/5SR5++OERuyZhx7AzijpNCZ+Mr4k4fYePRh1Fxtc0JcyXyVCFLEHY1RmMoNQ5/wF0MPBk0120HG/Z2gFFJ3/1RnQiBZFQ3weJhtEZl6Cpve/1giB0Ry+5XVAyFuXEUMpCOTGIjQWvy0RSDaNApHORUoFrIqV6pmRYFqCgay20Lhm28wqCIOxMtGRT9CI9qt4lA0060DgKUOAVzHWUUlSFbFbEUyzuSPZ77DXxFF9d+D53fdBEbu+opbhm33FctPdYIpY5zvhomMhO6CfVM5osZltbJc4Jw8+QJczOzk4qKysBeOGFFzj22GOJxWIceeSR3HTTTcPewBx//OMf8X0//3rFihWcfvrpfOpTn8ov+8///E/OOeec/OtYLJb/3fd95s2bR11dHQ8++CANDQ1ccsklhEIhzj//fADWrVvHvHnzOOmkk7j55pt5+eWXufLKKxk1ahSHHSYh37sLQxF1Dhob2S5tqiuxCVnQlgqwLYVjQYmj8u1LeSbVsK7EBgqErFjfHX7UUbSmgryQJQi7OoMRlHJRTOGD9u33OEFTu0kBjFT0vUFWdALQbV1QXd7rfKQyqHAIq65ym65JEHZrWpeY9L1IVa8n9vhJsELotnfRLYtRtbOH5ZQqUmMiowgAu/cGWhuxSgfG72pYzioIgrBzURN2CFkmRS9mm55Oa03cC/KCi1Lg9BjfRCxFm6dpyXi9jqm15v81dfBfb6+jPt29flIszPz9JzC1NEJEKWrCDqVOH/3vTkJ/0WTQW5ybXSmWKNuTIcuY48aNY9GiRSQSCV544QX+/d//HYCOjg7C4fCwNzBHTU0No0aNyv/8v//3/5g0aRL/9m//lt8mGo0WbVNWVpZf9+KLL7Jy5Upuuukm9ttvP4444gjOPfdcfvvb35LJmKiSBx98kIkTJ3LppZcydepUTjnlFI477jjuvffeEbsuYfsz1Oik7UFryifuaj7o8FjT7rKq1WVFq0tHOkBrTUsqYHpNiDljzD1WV2ITthVpr281v6eQJQi7OjlBaVujmKy6SlQ4BGm31zrdmcBbtg7dlUTH0/gfbMZbsZ6gI969jdYELZ040ycRmjNtm65JEHZndM583O5+wKPdLuh8H7o+gGQDpFrwX7tk+FL6qmdA2eRsjkof34/aBysETsyIWIIgCLshsypi7FMapc310VrT6fmsTmRoSLv4QLYkBH6PqKB0oAllxaVCvCDgttWb+erC94tEqU/UlXPPnMnsUxqhzLYYFw3v1KIU9B9NliNiKVzdtzgnjCxDFqZOO+00LrroIo444ghGjRrFIYccAsBrr73GtGnbZ5CeyWR47LHH+NKXvlSkdD7++OMccsghfPazn+WWW24hmewOQ3zzzTeZNm0adXV1+WVz586lq6uLlStX5rf5+Mc/XnSuuXPn8uabb26xPV1dXUU/ws7LzibqPLcmwVlPNaI12Cr7QBdIupo17S7vt3tUhBWXfqwqb3w+Z0yY6TUhmlNGuCqkLyFL2PWQfqWYgQQlYNBRTKE503CmTyJo7ii6d3RnAm/NJkimIRrGmjwabAu6kvhr6vHbu9CJFMGGJlRFCeWXniLG58IuyfbqW1SkxohAfhrIilLx9SZaCsv8KAviG4bNb0opC2vmxWCHIchA4AMadJCtzqfACqMq9jYiliAIw4KMWXYuLKU4d+poyhyLtckM65IZkn5x2rTWsC7l0pX1iNJa0+b67FMaZVZFd9ZRa8bjW29+wLXL68lNnWzgnL1Gcf1+46kKOdSFHcZGwzj9iD07E4XRZH3RnzgnjDxDfse/9rWvMWvWLOrr6zn00EOxsgPzPfbYg/POO2+429cnzzzzDJ2dnZxwwgn5ZZ/97GcZP348o0ePZtmyZdx88828//773H777QA0NTUViVJA/nVjY+OA23R1dZFKpYhGo322Z8GCBfnzCDs/OVFncWOGCQXpctAt6swaFd4qUSfQmkWbMzQlfOpKbOaMCQ9YdrTQ72pKlUNXRrMp7pH2NBoIAiNS/fLYuqIKe5YyQtW8pxrZ0OVTE7WIOoqUZ9rfU8gSdj2kXykmJyi5i1cVV8qjO4opNGvqoKKYol88HPed9/E/qMceXQ3RMN76RnB9CDvY4+uwKkqxbBtvYxMkUgRrN8OYGkKzpg6pAqAg7GyMdN+idQCtSwhSTcbsvGs92oqYCKm8IbkC7YIdhZIJkNpMsPQO1JhDUWrbBF973OEw8yJTfc/PgK/M+awQWGGI1GDt991tPo8gCN3ImGXn4/Dacm46YCLffvMD/OxDb6UUUQWu1qDBCzT1qQwTYmHaXJ8yx+LcqaPz84cl7Qm+9dYHrIyn88etDdv8ZN8JfKSqhKilqAuHdkovqf7IRZO925kkavWeB7a5PvuXx4rEOWH7sFVS4MyZM5k+fTrr169n0qRJOI7DkUceOcxN658//elPHH744YwZMya/7MQTT8z/Pn36dEaNGsU3vvEN1q5dy6RJk0a0PfPmzeP000/Pv+7q6uKII44Y0XMKW89IiTrPrUkw/5U2lrW4ZHwTdTW9JsSlH6sqEpUK6fa7UiSzYtT4Mpu0DxnfKPkWmupY71v1qD1LWHDcKOa/0sZ7zRka4hrLgr0qQ/z48Op+zynsGki/UoyyLMovPYXWeTcRbGjCqimHaBhSGYKWzkFFMaWfW0jn/Afwlq1FJ9PoRBovvikbiZWBkkhelAJQ5SWEpk8iaOlAdyWpuO5MSk4+FmVZ6CAgs/A93FffBSB0yAGED5q+xSgqHQS4i5YTNLVj1VUSmjNNIq+E7cpI9i1B/YvG0LxjZbYyXgBeHLqS4KdA2YCGwDPRUrHRRjSyY+jWd9BrHoE9T+glGuXELp1uMZFY1TP6FJZy26mqfVFzfoBe/QeIrzPtcGKoir2x9vsu1ti5w3K9giAYZMwyPARas7gjSUvGoybsMKsitlUPmXPHWdGVJqQUe8RC2EqR9gNaXB+tTSofQDzQNGQ8ZleUcO7U0RxeWw7AH9a3cOG764kXRFrNrojxk/0mMDriUBGyqQk5u9xD8Fw02QVLjFdWVcgmko2g6kucE7YfQxamkskk1157LY8++igATz31FHvssQfXXnstY8aM4cwzzxzuNhaxYcMGXnrpJX7xi18MuN2BBx4IwAcffMCkSZOoq6tj8eLFRds0NTUBMGrUKMBER+WWFW5TVlbWb7QUQDgcHlF/LWH4KRR1lrW4tKYCwrZi1qjwgEJSfzy3JsG8pxrpzGhqoxaRmEXa0yxuzDDvqUYWHDeqz2M2JXy6MgEtyYCMD27Q7YphAZYyP8+8n+jTiP2oPUsIgCv/0cLqNpdAw8YujxtfbcdSSsSpXRjpV7rJiTna9Si/4CQSf/o7/vJ16NZOVDg0qCim9HMLaZ13k6nqV1uBXVuBTmUINreaDUqj2HuNx7J7p/CqqjJ0Mo09qhplWaSfW0j7xb/EXfI+uFkPgrBD6IApVN54dr/tKBLGMi4qHMKZPkkisITtykj1LUH9i/ivXWqq8EWqjLeUnzYilJ8w0VJam8p4dtSIUmA8p/wU6AB/0dWoNX8sEo96iV1WqE+Bqa/tqJiKtdeFqLJJAwpagmGwAqAg9ETGLNvOP5o7uW1VAyviKdxsmtnYSIjTJtXy9T1qBy2UFB6ny/Pp9AJiliJqW0aU6mMfG/ivvUZxeG05rh9wxXsb+O+1zUXbnDyxhu/uOYqYbVEbdijbyb2kBuLw2nJumbFH/n1q80z63v7lsSJxTti+DFmYuuWWW3jvvfe47777OOOMM/LLP/7xj3P77bePuDD18MMPU1tbu8UIraVLlwLdotPs2bP59a9/TXNzM7W1tQC89NJLlJWVsffee+e3+cc//lF0nJdeeonZs2cP70UIOwVH7VnCkZNjQ0q964vCdLwJZd0VHmIhxQRHsaHLZ/4rbRw5ufdTj/fbsgbn2deFXxYBEGhQGu54o52Pjov0Eppy/lSdGc2omE3EUYMSxARhV6EvMceetgdll52CM2X8oKKOdBDQOf8BI0oVpAGqkihqz7H4a+oh46EyHsT6GGgV+Feln1tIy6nXEmxuMetC2e1dD/fNFbScdi01913VS2jqKYypSAWkXdzFq2iddxPVCy7K7yNRVcKuhtYBwdI7jChVMrY7NcKJocsmQdc6IA6R0RAqMcKUFzeeUzoAlImmckrRbUuNwPXR+QB9il2F21hj5/YvirW9R9C1Hvuj81E1s4raKwJMMYMVAAVBGH7+0dzJBUvW0ekFRCxF3PNJB5rGjMcl767n/nXNXL3v+D4Fk8Ioqw+SGe5YvZkuX1MdsolZirifIRlo4kH/RZ3SvuZX7zeyd0mEb731Aa+3JfLrSmyLq6aN5ehRFZTYFnXhEKFdwEtqSxxeW87cmrJhiVAThochC1PPPvssP/vZz3qJNfvssw9r164drnb1SRAEPPzww3zhC1/AcbqbvnbtWh5//HGOOOIIqqqqWLZsGddffz0f/ehH2XdfUzZ87ty57L333lx88cVcdNFFNDY2cuutt/K1r30tr/CfdNJJ/Pa3v+XGG2/kS1/6Eq+88gp/+ctfWLBgwYhel7DjsJTqMxJpKHSn41l9lh2tiVosa3FZtDlTdK5Aa/60rAtLgRd0h9T2RAObunwu/nsz//p6d4e5JUFsfafH5c+38ENfM7rUyYtuQ/XBGikyvibuBkRtRSz04Z4QCH3Tn5jjvb2arjX1VC+4iPBB+27xOO6i5XjL1ppj9HGPWqOr8N+vx9/cgj15bL/+Vc6Be9P8HxcSNGajrGwrZ9pgqgWmXYLGNjquv5+6I+fkxaT+hDFiEawJdQQbmuic/wDhI+eQ+fuiYY2qEpFL2C60LjGCRqSqz3tMR+sgnjCRU9FsNbxkgxGllGOMyu2IEadClZBpw3/3dnN/ZTqN2BR4gAY7BrGxkKw3Ytjoj/UvitnR/HY5/yoRYHrTn7DXUwAUBGH4yAlKTWmXG1duptPzKbdt1qddAq2xLYWjNa6GdzuTnP/2Wn46cxKH15bn932+qZM/b25nUyqDp6Hd8wm0Zo9oiJhtobUmohTxgmIvhT10bmnYgg3JNEe+tJxWt1vA2qskzPz9J7BXSYSqkENVyO7Vx+/KWEoxu1Ie4O8sDFmYamlpyUccFZJMJkf8g/rSSy+xceNGvvSlLxUtD4VCvPzyy9x3330kEgnGjRvHsccey9lnn53fxrZtfv3rX3P11Vdz4oknEovFOOGEEzjnnHPy2+yxxx4sWLCA66+/nvvuu4+xY8fy4x//mMMOO2xEr0vYtWlK+GR8TSTW92Qv6ihaUwFNieInFYs2Z1je6jG21GJdZ3+ylMHT8GZ9hjsXdfCdj1Tm9y/0p/ICjWNBSUjRmdF0uZrX69Oc+kQDpSGL6TUhjpsS46n3k0PywerJtghbXmDEqFWtLo+vjPPyhjT71Ya54RO1hO3d54tO2HaGIuZsSWjxG1oJ4klUyMYKNJREir6vVCyCKomgIuEi/yqdTBM0tKGiYWJfPAJ30XLchcuMSTqAH3QLUyHH/Hg+3pLVuIuW50WzLQpjNeV4y9YSv/P/6LrlfwcVVdXfe1YoQgWtnXTd+DtJHRRGHJ1uMSKP3c+DHjtijMfRxvPJKTfpeygjSqHN//H15n5SIWjJ2i8ELsTbTRogCizHiFd2FN2+Aj74v4FFsVAlum0pwYrfgLIJli4w0VoiwABbiHbrQ9gTBGHL9PSKmlEeZUlnKv+6zfX4xepGVsRTJLyADs8nbCm6vIBAm7QyAJTCQRMAbW7Abasa0Frz89WNLOlM0prx0EDIUpTaCi8wfrXrUx4TlaLcsakK28RTXq82ZntUqhwLWymWxjNF648bVcFl08ZSHbKpDRuhSxBGkiELUzNmzODvf/87p556atHyhx56aMRT3ubOncuyZct6LR83bhwPPPDAFvefMGECd91114DbHHLIIXn/LOHDyVCFl7oSm7BtUuhiod7bpTwjANWVFKcI5QStyoiFIugz57sQH7j19Ta+Pbscx7J6+VMFGF8q2zIRWLmHI1URi4iteH1Tmr+vTVIWthhXag/aB6uQrTF49wNNwg14r9nl0RVx/ro6waLNmfz1PvV+kiMnxfj8tNItvAPCh4nBiDnu26uI//Jhwh+f0W8kUPq5hXT+6B50Wxe6LU5gKVQ0jDW2Jm9yTiqDVV5C2WWnkHr4H3jL1hLUt6AT6eyjRU3n9fdDJIRuKyiBnWtWoCHjQigEWqPTLpmXl+QFIr+h1QhDkYq+LzYaJmjpIHHX41stxPVMeSTQBJ0JVDSMPa52yCKXIAwFFakxnk5+2ggaWhvhKfCM4JRuyQpQMSM0uXHjOYWFmR5ZJnIKZV4HafCT2YPn1gWgPfDd7DobLItg80v9imLa7YLEZvCTBItvyntZUToR5WQrLvUQYBj9MVTbux+eNL8tRbuFq8z61iVQkA4pCELf9PSKCgBfa2xMhE4AxLNC1JhIiJCCDt+k7gXQLUplyfaKlNgWSzoS/Nfb68gEgRGxsuvSgSYd5Iomgac1DWmPMtsibFlYdGdm5AQpCxgdcYh7Aa1e98NzR8H3p47hK+OqKA851IYd7CEEnwyXgbvw4WPIwtT3v/99zjjjDFauXInv+9x3332sWrWKRYsWcf/9949EGwVhxOgpQrWmfG4sEF5CFowvczhhWinHTCnpU6SaMybM9JoQixszTHB6lx1tSQXMGhVmzphiU8icoNWaCvpN4+vJilaPf79/A1+fWcHza5O0pYygFbHBVoog0CSzD0VCWeP0sK2IhRRuEOAFJmopmm1nXz5YQJ/C3FAM3gOtSbiatxvSPLoizl9WJ3m7MdPnNYVtmFq9VQVChd2YoKm9XzFHdybwNjZBIk3HD+7GKi/tMxKoOxUwDpGwqbxnW+hkGn/tZvSYagiH0K2dhOZMo/TMz1N65ueJ3/l/dF77G1AKe2yNEaRSGfyV67sVX6UK4uFN2WU8c/PpeJLOH/8G7fkoy8IaU22iq9IuOhqGRNqsc2woiRgPK6XwNzb1EuK01uhECtBkXltK/IGnKD3luCJxqq+UR2/ZOkhl0EGAdj2sWGSros0EYVBUz0BV7I1uW4oOPJOmF6Sz4lP2nrEiUDY5Gxm1AXzP3EdYJkIq97nXZO+z7H7aMmaL2uteBkAAQYDe9IzZPiuK5dBul4nACnwjboXKTaSU1pDYgFYTUaEyoECAaX0H/5kvQHLzNqX57UoeVoOKdsu0m2vZvk0ThF2OQq+o6pCNqwLWJV18wFawRzREfdojFWh8bQSkkGVhodB0i1iWUnkBCUChiCjNZtfH9s3T53Q/T7Tz1fb8gKaMi6MsbGWeoYGZHzhKUePYNGY8MgXHGR12uG7/CcypLKE2ZFMeGtr4vKcoF7IU+5RGxVBcGBRDng0efPDBPPbYYyxYsIBp06bxz3/+k/33358HH3yQ6dOnj0QbBWFAtia1LNCaOxd1cOdbHWzq8s3kD+jMaKK2YlyZTcY23k4butK8Xp/mp6+1ceDoSK/oIEspLv1YFfOeamRDl09N1CLqKFKeEaUqwmZ9X4LWtGqHv69NDf5iNSysz/Dapqai4XnKN+JUbq6sMel/ZSFFSUiRcDUZH0KWieBKeJrSbHRXoQ/WnYs6eHh5vFdE1MWHVHLjq+39+lm1pQPufLOdj44L88bmDI8si/PXbMpgf0woszl2Soyz5lQyY9S2+XwJO4aR9C+y6ipRYePbRKz786E7E3gf1IPng6WwRlejbLtXJFBxKuAorK5kdr9s+l3aJVjbYH63bXRrJ5m/LyJ85BxSD/8D/AB7z4K0Fg1Fzgy5tKJcKh+6e9QXaIKOBHgeOtAEze1mcWfCpPulMmZ/pSAaRjk2zp7j8Dc1Ga+qLEFHHH9DIyQzeUGs/Vvz6frxbyg7/0RKz/w8QK+UR51IGZEs7IAfENS3oMpLUEoVpQ4WphsKwraglIXa72z0S9+Frvf73ihwTeSU2wl+Nn1PZ5+kKBuwzTa6Z8qJW2DCmLsHs8KVFc2u8yHdhraj5h7QOiuO+dl7PJqNusKkAmojnmmntPseD1zItEGHZyoGbmWa367mYdUz2q0Xfhosx2wnFLErCZDCyBNozW2rGuj0AsZFHOJ+wNqUEaXAjMs/SLpozATcz0Y1TYmFiFiKpG++5wPIRz/lCCvNhoyHh3nAPBg0sDHtY1FciS+kFGWOxcZsGmCO6WURfj5jD8ZHQ9SGQ0SGmLrXU5SLhBTpQPNuZ5ILlqzjlhl7iDglDMiQhCnXdfnBD37A2WefzY9//OORapMgDJr+UssuPqSS6pjTp1j13JoEF/+9mbc2Z0z6m4KYrXADTdo3qWcdaUVj0sfXxhDQDaArE/Sb9nbUniUsOG5Uvi2tqYCwrZg1KtxvmpulFF+aXsb/+2BwwpSNSefrL+cv7Wsc1b1aA9VRGzA55wEmPNfTZm5eSNRRbI77XPNSC4FWvSKiTn+ykYyvqYt1i1JRR1EaUkQsI3g9vy7FfnetZ0NX/1U/9qx0OG5KjGOnlHBAXQhLKcaVSbTUrkhf1fKG078oNGcazvRJuItXFaW2+ZuajSillPGGKo0ZsaVHJFCvVMDyEpzJY/HXN5gUvRyxKNaoSvz1jbTOu4nyC07qM4VQe9lS9yG722OqwEy0+L7U4Hrg2OamC0y0FKmMidoKOWDbZnlXEu1YhA+fTeqR5/NCXNARx1+zqftcOTwff8V62r/7MxJ3P0Hpt4/v1V7t+UYkC9mgQKcykEhDadQcIxpGt3YSNLVv899JEKBbjCHdNtBWkNxkBCLLzgq52c93kIGiZJNBEqkykVDpFrBDkKxHh6tMup6f/W5VthGalN0dlaWc7nRBp6RbyNIaoqP6TfPbks/SLmkiXhjtlhX2cmitIdOGqtoPqmfswEbufOxqAqQw8izuSLIinqI6ZBP3NWuTGXxdLKfnejgXszwZBKS0Salbm8z0O8bPFASRDpXCXrXUUoQsRUOmeGxxcFUJt8/cg9qwQ3XIGbJvdE9RLv8A21ZELUV92uO2VQ3MrSmTtD6hX4Y0IwyFQvztb38rMhUXhB1Ff6llr9en+dyf6ikPW1hKFfkgAcx7qpG17VmzQEU211ubeZwFvoZNcd/4GSsTURSyzBOK6oiiNa3zaW+FnetRe5Zw5ORYPnqrKqpY1uLy8sY06zs9pteGaEvpIqFsSlWIyqhFwg1I9a/noMgP3/OvdcH/OTzdvd5SEMkaijtWdsif/YJ0eoyrU15AwjVH3LOyd0TU6jaPhBewV5VDedgiYmtaU5plzR71cY/0AG2fVh3iuL1iHDslxj7VIRO1kW1f1DHvrbBr0TN1jHA5tMfJvLaUlq//hOp7LiN6zEe36RzKsii/9BRa592E/0E9qjQKyqThAWBbWGNr8p/VnpFAfaUCqvISIwjZlvnxA6zxtdiVZab63oYm4nc+1mcKoXKyk1pLgRV0pxv1HCiGHLM87HQPRq3sfkH2rtXkI74ojaJCDu47q7Gn7YH39mrU+Fr8+pbeolQhQYC7eCXt19wD6Qx2rWmv1llRDA1+9hxaG7EqkTL/ez44Nn5jK8m/vELQ3IZVW4k9ulqq9glDJi/GpFso/qbqB539IlJ2NtUvf6RBnC33zadMep5TZo7hp6H2IEg1QmpzNmUvMBFAsTGokLnHsSJGsFLZ+zRXPt1LmuV2pFfU0GB9lraHifhIROgoZWHt913zN8wJe1lBjUwbOGVY+313t4gEGq73b5cUIIURpyXj4QaaSEjxfiJDYWBTX5qSxsw5mtIZyhxnSKmyPcf/g6HCsUgHmnjB02kLmDe5lnl7jqY27FDi2P0fYAAKRbm+vOqqQjYr4ikWdySlCp7QL0MOVTjmmGN49tln+cY3vjECzRGEwRFoIw71TC1zs0bbGR8UAdNrQ6Q98pFOlWGLlmSAn51PZoLijt0NzE3hYQIduie9Zk7pa0VNVnBatDnDQWMj+fYUphMubkgx/5V22tMBgc5bu1IaVpSGLMaX2Zwxu4KDxkaMb/IWxvI9v3wKo6IKv5wUJqXPDcz5cgJUzDHz8KQHJQ7ECr53tNY0xAM0mjElvb9QwrZiryqHtqRPMqPZ2JmhPu6TGWAOMWNUiGP3LOHYKTGmVJnUJEsZH6wSx6QXxkIWjiVPTXY1elbL050JgnUNJipHa3RHgpYTf0jN//5om8UpAKuyFH9dA7q1i3y6XCyCPXFUt3l5joJIoL5SAXUihc5FLKFBW1iO+RrMCVv+piZzrB4phJREUNEwOp40bbAtI3JpTOSTn70hPC9rgp4VibJeEPkRqm1hTxwFjo1ybFRJFJ1I4S9fR/llp9K5pp7gg82QGEQkZaDR8ZQxXk+7BK5nTNtTmWxYZDZtEWVSAn3ftCcIwLZp/69bTfSY74NtoSrLcPYaT+yEw4kcc7CIVMIWKRJj1GAnNH63IASYbyvoFqYK4wtyr3O/ZwVirU36WXw9BNl7ZePfzLGio1FjDkc3vgyhKlTITIKUUujY6Ow+bjb33UJ7SSNoKWVErL6e5g/GZ2mETcRHMkLHGjsXPjq/+/iZdpO+V7XfbhMBNFzvn1QxFPqjJuwQshQdnjEyt5XCz1qFDESrp2n1iq0vthQ/OlRRqsqx6PSCokcHk2Nhbj1gItPKo9SFQ/kx+daYlxeKcn0RsRRtnqYl07s6oCDkGLIwNXnyZO644w7eeOMNDjjgAGKx4idLp5122rA1ThB6khOAXt6Q4u3GDDWRbrNxrTX1cS+ffucFkPKgJGQxwVF80O6xrsOjIqTwCyKLepLrMr3AnC9kqXz1CscyUT6tqYCGuMfCenjm/QSPrIizsdPDDUz0UXu6uzJG7ssjwHhYxTM+DXGf//pbE6NLLNrSQ0xd6IHu8XuJA23ZaOCkp3EDj41dAblKsUkPlrV6jC+zCVmKllRAxFEEWESz4Uu2gtKQIupAS1LTEPfZ2OUTDPA0vDysOPsjFRw3pYQJ5U4+KipsGzEq5ljEQqrvQb+wy1CYIqc7E/hrNxuxw7FMBIMfoNs6af3m9dTce8VWp/UVRmXZe40zJsdtcYKGlmxEUB+kMqhwKO931TMVMJ/iZgFegIpFjPl4jmgYrTXOhFF46xuxasrNdlmTcjWmGr0yYbbNCTaK3il9mf691Qg0OHaxqJYV1Owp46hecBHtF96B++aKLb9JfmB8pNIu3voGI6b5QT6gJGfDAxqSafM3yi3zfFNhUKl8eqJubMNtbMN9bSnqlgcJz95n2FIzhd2UnBgTroSutVt5kJ7fgf09igHwu1/6fX0fBZCqR697HJxS8F20M6n7IVOoDF0yARLrAQWZDpMCWLGXab8V6uOYDMpnaThNxHtG9gTpNoLXLx/RCB1r7FzUmEN3S8+kYY1wkiqGAn2LN7MqYuxTGmVRe4JAa7bl2eu2zQy6sYAyx6Kth4dHWMGZk+uYURmjJtzd722teXlOlEsHmpjd+8LTgSakFDVhse8Q+mfIn44//vGPlJeXs2TJEpYsWVK0TiklwpQwYjyzJsGV/2hhdZtLytPEXU3cVYwtBcdSdGVMJThbdYfHur6GkPlsloYsWtMBnW73IHdLTxxMNJP5cikpMBIPtOZHL7byfrtLczIwthQOjC21aIh3Px3pZ9hMOJsyuDFe/EWxNaG5PWnJVrgPgDXtXv64MQeqohZtqYCUq3m/zaM2ZnHg6AhfnF7KDa+0EbagMmLMzJe3eGyO+/n0wL6IOgpbQVVEcd3htRw6MYpSUOJYlISNGBXu4wtK2HXJpcgRLidY12CEkILQbW3bRpzqSm515beeUVn5wX9ZCUE8CfEUfoGhNxhhOmjpJDRraj7SJ5cKGGxoMiJTbpSY9X8qTAUEIJXBioQJH3Yg7p2P4Te1d5ubO7aJtCo8xla9gVm/qUJSpmKlt2Id4Y/PoOKX59N8+HcHTuXL0R434lTKzV6XZVL1+rpvc8bvhWgNPZ9gBhrd3EHm9feKDOUFoSd5MUbHQfddeXWH4SUAC7rWmkipXHqa1wUlE7H2PRNVNgkVqUFX7U/w/Knb5LM0XCbifUX24CXMvVo2aUQjdJSyoGbWblV9b7gjnKSKoTCQeHPu1NF8b/FaOjw//xB8R5GrvtfRQ5QKKRgXDfPHjS282NzFmVNGcXht+aDNywcS5d7tTBK1elcob3N99i832wlCfwxZmHruuedGoh2CMCC3vNrKVS+0kvZ03rs00NCV0azMeNiKfHpe4RfBxriPUoqKiEUs+0BgID+kvtDZc1VHLNqSPvVxHzeAZX46mzJo5oJpHz5oDwb1lKNnGlxhgMNw0NMjUQNlYYtxZQ7jyiCeCdgcD9irKsST/zmWRCbgd+908k6TS3s66PfL1FZQHrbQWmNbUBqy2L8uxBmzKpi7R4zSsEXMUdiSordbooMAv7HVVHrb0GT8nnoMQNAmzc2qKtvqym+9jMsLcMbX4b2/CeIpdEsHVJdDKkPQ0omqKKH80lNQloUOAlRlKaXf/izJR/5BsLEJnTMkDwKsSWOKopZywpY9cRSpP79sUvXQ3R2K5xvj8lz+7DbgN7QaDyrHwe9KoOtbwFJ0/Pg3WJEwauwQql8FgRGkSqKQtiCVHrgjGWwnExhxMYCtFhiHi5Gs/ihsGypSY7yc0g3b6Yy5ZPvBkPWUUsp4Tg2QnqYAvd/Z6FfPN0JWuNKYqgeZwfssbaOJuNYBwcoHCN651YhY0VFZkaPD/CjbXEeorLvdEqGzZQaIcALAjqFb30GveQT2PGGL4pRUMfxw059481ZHgrPe+oAL9x7Lzw6YyMlvvD/gg92RJmopPK1J9qjgV2ZbjIs4ZAJNh+ezIZXggiXruPmAifx8deMWzcsDrfnF6sZ+RbkLlqyjPu1RFbKJZCOo2lyfMsfi3KmjxfhcGBCJpxO2SE//pMIKd9uDZ96Pc9ULLaQ8E2lkWaYUtF8Y0d+HB7HCRDut7XCZVBHKG4BvTZyDBtZ3+kWik5/JZuVkxzBab33obd49QzFiX2QNiYCujMvEcofRpQ7VkYDmpM9Rv9vEvzalSQ/waCfmwKkHlHPG7ArKw4oVrS4pVzOuzOHAMWFKQ5ak6O3m5KrwZd5cgW5qK7rhtGeiprBNtI6KRVBVZQSbmreq8ltfxuU5VHkJ9uQx+Gsb0PEUOpu+F5o1NZ921rNiICEHe3wdsRMOx6oso+Pm30NHAu3YEA3nhS3KzSQjaG436XiWlU1RxNzsuSipbb1HUxn8lRuKl1mW8YuKhvFXrDdC2GDIGrAr24LacvT69Jb32RI5lTwI0GkX970PtkpgHAxbEp1GuvqjsG3oqv2N+bge4hOfrcWyIBhC9b4gBUSxZ10K0dp+09OC+hfRS39pRAU/AYkuk5ocqkBVHzAoH6JtMREP6l/Ef/d2aHw1639lQ+B1VxPMxUEnG9BOafH3rUToDEh/EU7a7TKVGP0U6AB/0dWoNX/c8t9aqhh+aOmr8lyXF7A57ZLyA9qAK5Zu4ICyKCW2RSLr6bS99amYrUj5vb2txkYcSm2bds8j4WumlkYotTX1aY+fLK9nUyozoHn5ks4k57y9lkxAvxFVt8zYIx9N1uaZ9L39y2NbTAUUBNgKYeqyyy4bcP3111+/1Y0Rdj6eW5Ng/ittLGtxyfi6qMLdUXuOfFWFQGuu/Ecrad+YeucEMVPZrbvT7avTV5hwVVdDfdwj5ijCjsJzt/wV4Sgz7HVUd3RTz2FwTsdxhykRXDNyohRAzFGUhhWdGZ/mpE9LKkADy1t7S3UKozOUOIp9a0J876BKPjYhStRRlIQs9qwME3FkCPxhIef3FDS3o7uSZsKmCz74QWBuFMsCx8YeV1uUnpYZYpRLX8blhaiQgz2mmvLrzsQeVV0kaPSsGKgiFZB28dfUE7/7CaoXXETNnRd3ix2tnXlhK/bFI+i87j502s17QZkKYsqoxgNYR20zloJkGn9jM6pmCIM3yzJeWV6A3tQyPG3Je04rcD10IrVVAuOW2JLo1N/f0l28SlIMdxJU27tDMD0fBoIMqFBx/zPwDuC2E8Q3YlfuY8Sb1iXoAnGq2H+oBmJjwc1GKVkR1L5nDdp/aGtMxLurGraa67JCgDKCSXy9iZyysv5wQRr8JDgF468RjNAZiSqA25u+Ipy022XeWx1gKjza4JQOynPqw1TFUCimZ+W5Li9gXSpDoDW2pbC1xteaZV0pkoGm0rGI+5qM3n7SVMxSJHs8aA4pxfioAyg2pjJktGbP7NgqJzp9kEzjB1Ab7t+8vMP1idmKybFwvxFVD310L+bWlA3ZPF0QYCuEqY6OjqLXnuexYsUKOjo6+NjHPjZsDRN2PM+tSTDvqUY6M5raqEUkZpH2dL7C3YLjRo24OLVoc4bV7W4+1S1HMIg+PluTCguIu5oSR9FPsYg+91XZ+WiOnPl5Jug/7W440/EGQygbBebrvkWtiG3EKAUkXE1jov/BvK3gkPERTt6/jNqYjRtoRpc4HDg6RGnIkip6H1Jyfk9BR9yYh2sNEcd4SxV6E+WKzk0aYyIaV20AZeXT04YS5dKXcXn+NAVeUiUnH1skdukgoOP6+wlaOoy4E5ibWMUiWBPqCDY00Tn/AWr/egu1R87pFamTfvo1gkQqm7KnTX5uLnVvpAdVuQgpP0Bvbh30bqq8BBUOmXb7w6SSF7bJslCWhVVXOawpdVsSnap+dQFdN/6ut89Yj7/ljkwxFLLRKDr3TTvMn79+TzrUfHwf/d4deKvu61WNTY05tG//oUi1ERyS9ej3fkUw5lBU27uDEmiGYiJe5H8UqTL+V1j5ioEEblbcioCXBFS+oqHW2ixLNULFXuiq/Yc1YmokqwBuV3pEOAEmUkoHoBzQLtgxCFdl123Zc+rDUMVQ6E3PynOb064pkpTzusQMHVw0AdDqBYOed2wrFqbydc/UvQrHYlQ4RNz3aUi7+YfuhUQsZerCKPo1LzeeWZpKx+k3ompFPMXijiSzK0uYXTnywQvC7seQhak77rij17IgCLj66qvZY489hqVRwvCxtWl4gdbMf6WNzoxmQll3WGcspJjgKDZ0+cx/pY0jJ4+sCt6U8AkC01kWWrvkyq8WCkGOMiboGo0bmDmpF3QLSv8xtYQH3uka1Hlz/XrhPK+nZ1NfbE9RylbmmpVSZApUqXA20kkpRdLVtCQHnixURkzVPEtBwg2YUGZz2B4xSkIWUUeq6H3Yyfs9lUbxWzvByaZtOrb5vOfEKcdETejOBEFjGwDWxFqsmqFHufRpXF6QclfoJVVI168fJfOPN424095FYFkQcrCqy7AqSrFqyot8r3qmpll1labTyN34SnV3OoNRw3cAurUTHbKHv/NRKpufHGBNGUfQ2knzpy4YlpS6fs3tC0Snjivvwt/Y1KfPmFKq199S2EGEq7LC1HYSpWDrzuXGIVwN0WpwO9DNb+G/8n3U/t/dcoW11nfwn/kCJDdvtUDTb+RRgf+RycnNjWqybVG2iZKKjs6nnKE9dKajOw1NKehaS/D8qTBAm4YS/TSsVex2MD0jnLBj5n1DGVFK2RAb3V1IY5CeXbtzFUOhbworz4EmHWjsgn7DwxQ9KhwubA8DdEdl3QYKIrMUJnWvyrFoyHg0Z4up5D6dm9MuZY6JmjJilMXYSIh1yUw/5uUBljJCV19ELEWbp2npWUxlEPRlpi4RVh9OhsVjyrIsvvGNb3DaaadxxhlnDMchhWFgW9LwFm3OsKzFpTba2ztIKUVN1GJZi8vC+jSWUlsUvrZWIKsrsSkJKVK+Iu1rLK3xdHenX9jfWypXMEuhLLPduFLHFKkKNGHbzDm3Fk1v0/IdiaVMQEeAxrGMGGVZRoxqS/e0P++No2BatcPoMocSx8JWmvq4z+/ejfO5aWXypSAABVX4SqPZtLbuQYlybDTK+DEBBAFBc4cxP588FjtnLr4VUS6Row6iesFFfabc9RRDdBDQfv4viN/xcLE3k2+MwYNEimBzC0QjqLBTlJZWGAWkK0rQXsGgqvAW2Dl1KUOuel9OTNpWFEXHCX/sANrOugXdGUeVRM1nIdBF0U1WdfmgI6kGMrfPiU7+6o3oIIC6yr4PEg2jWztHJMVQGBxB/Yv4i641aW+7An4G0h9kRQltBKq3rjPCRH9pcIFrUuz8FISqIFQBykK3LsV/9fvofb6BNfawbj+h1iUE9S8QrP9Lt5ClAxPlpWzTf1ohiI3BmvgfJiUv73+kTGSUnyRbTtj8BNqkLzql2fTaOLjt2UITEYiNASuUF430R6/HClcWiSV680uDjn4a7ip2OwNFEU6t72SjpWwjUsVGowoM5Yfi2bU7VjEU+qew8lypbR6EW9m/vs7OT6B4uDDS04acZUnxMsXEqIOrYUPSJVWglNkKFIpUENDq+lQ5Vr5i3n/tNYqL3lnfr3l5SEFGQ1919dKBiRyrCQ9NWhiowqF4Un34GDbz83Xr1uF5Q1dJhZFhsGl4/QlGTQmfjK+JxPoedEQdRX3c5zt/baQpGQwofG2LQDZnTJh9a8O8Xp8m4+sBhaFMAG6BABWxIWJrNscDHAv+993BRUvtKjhANKRQliLlBXRktixGmap6ivKIzeQKi5qogxdokl5A0tN0uZpXN6VZtDnDQWP7KYUsfKjI+z1l0+Lynkv5DRSEbKxR1ehkyqR+jarCQhG0x1GODSUR4wtXXYb79iriv3yY8MdnbFHAiBx1EOE+Uu56mmO3XXQH3hvLB74QP4B4Ep20SP35Jay6SoLWTrpu/B3esrUEXQnjn1X4tC83mNtVZh3D5WNReJhYmPSTL+NvbjVeYq2d5GP+wyGIJ2k58Yeo0mjeHN4eX0fJGcdTeubn+/z7DmRuD5jouCAw+/bjM0bW9N7qT7gSRpSg/kX8l8+FVAPbP4l9awggtZle7fTigGXEp2ht0SqtNSQ2mX29FPibs2KRk031zRC8fRPB8nsgWmd2SmyETKs5jR2BUGX2tW/2i9SYcyXqCVreAqcs6xEVQUVr0LHRWe8jF3C672m3HSI1qIN/gn77JuhYbbynnFh3pI8dNZFT//wOgR0D7RkRLFILyUbThsFEPw1QxW4wVQBHypdqW4+bi3DSax7BX3S1EfrCfVTqk6p6Qj9YSuUrz7W6JtXfz6bt7YgKfE4folSVY1Mbdmj3fJqy4xlbQVQp3EBntzc7rU9m2KSgLuzkhaD+zMvP2WsUP1/dyLudyX4iqoy4NauiL9mqb/qrcFhopi7i1IeLIQtTPc3NtdY0Njby97//nRNOOGHYGiZsPYNNwwuAG15pY0ljhrSvidiKGaPCXPaxKupKbMK2Iu1pYr0SpDWbujza0wGrWl0mlNtEYnafwte2+lRZSnHpx6rMMdJbfu6gMVFEZP9f1eajMal8u0MJSgsoCym0AtfXdLpbFqPCNpSHFGURm7Cl0EDcDWiMB6R9vyjkOOooWlMBTYntVGFJ2OnJ+T1l3lppBINkGh1S3WYKnm+EAz/AmTIe9/2N6A1NBKlM96Qq7KDKYuhkBuIpOn7w31jlJYNKBVOW1W+qVvq5hbSceSPBB/VbvpDc59wPiC/4P5L/+yxBZxIiIaxoGN0R79+jaWefc48USkHKxV+1sftvaVmm+qIGkmmTNqlSJhKtK2nSLRtaaf+vW0nc/QSVN57d6++7JXN7UhlUSRRrfB3+mvoBfcZCc6aN4Bsg9IXWgakgl27OCjUhY0q+XdP5toa8q3+PZUHWxLq6WEhNNZs0OgDLyQrzfjaiiaxAhRGA2t4x94gVJm+mHbhGDFOWiYQK3AIhL1tAwk+b6nuJTWgrhAqXo0snZtP00uZ8VghqZmDv9z1UuAIvudlE+Tg9JoBe3PzoAErLIVxrjtH+nvGlKpvcvc8A0U/9VbHLM0BE0Uj5UvU6Lpios6lfw9r7lEELVEpZsOcJqDV/RLct7bV+oKp6u4MRvLDtdIs3m3m5NU4m6F39bntgUSyGKWBc1CFsWWxKuySy4xmF8cytClk0uX7ReCZ3/2qtWRVP4wWamrDD/x48hSWdqV6pdUopLliyrt+IqnOnjh50tkVfFQ6ht5n63BrJ4PgwMeS5+rvvvlv02rIsampquPTSS/nSl740bA0Ttp7BpOG91ZDm5Mc2054KCHS3o8E/1iZZ2pTh3s+OZnpNiMWNGSYU+Ax1pgM2dLrEs0EFcVezrtNnXKmiPGIVCV+HT4oOKJCt7/S47PkWvtaUwUJxyIQIB42N9OqAjtqzhAv+rYrznmki8Icw9M3NozDjxdQuOrlUmPfMAlK+pmMQVQVjDpSHLcrCFrZS+FrTldE0uj6J7P6bgIllmjFl3d1AyjMRbXUl27HKkrBTU+T35HrmtkpmijdKZaCyjPBhB+IuXpWdoFlG6MmKVzqRm+AprNFVKNsu8p3aUmRUT/I+Ra2dQ4sUcmwINEFnwrQ7lSFo6yOaMj9iG/yhdzv6el+DwPz02C5oagNU1mvMBtfDfXsVLWfeSM2dF+fFqcDzcN95H8IO3oZG7L3GYxUa2BeITmUXn0zbWbcMyWdM2A60LoH2pRhPpKxgs9OLUoUUOlZm/9c+xNejY6OM8OKlshFWGOEtJ0AEBQ9tcul5mc7u4wQZI04pC7QyopXOGmUSUKCQm9+DtNk+cCGxHq0mm/S+2FhIN4EVwZpxXl58CTb9vU/RSGudNfTOplsrB6Usczadvd5UIzpUlh+L9Rf91FcVuyL6iSgaKV+qouPaEXAT5n1LNRG8fgXBOz9HHfBf2HufOiihaGuq6u02RvDCsHB4bTlza8r47w8auWLpRrbno9xcmYnCHjesYEI0TCrQrE1kitZpjPdVfcbHAiLZ1yFLMTEawg8C1qc9rli6gUrHLkqlO2pUcVTzQBFVQ02961nhsJC+zNSFDwdDFqbuv//+kWiHMIwMlIantcYPApqTQT4bI2SpfIaOGxifoUv/3sz8I2o4629NbOjyKXFMulhjIsgr9CErWwHC03zQ4TK5IkR5xMr7Tz34bryHQKaJu5p4RpPyAtrSAQ2JNK9tSqOUOd6MujA3fqK2VxTVlMoQMUcRaA1Bd4fcM4EgZIGbXalzWUdsH/PB4SbmmIixlKfzYlJ/WApKHUVF1CLmmIz3TKBpTwd0ZTTpft6ATXGfUSUWKd9EYLWmAuaMjTBnTHgErkjYVcn5PbVf/EvcvlLmPJ8gkST9wlvmdRD0H30UaHRXEmtsbd53qv3iX6Kqy/GXrxu0sba7aDneex+gQo6ZlA0W2zJRXhkv23n0s6/GCCGeX+xbJfRNoCEa6tbzQjb4Gt3amfcV6/rZ/9J53f3o9i6zvdb4b65Aj6rGmlDXS3Qais+YsP3Q6Rbws1ErBVXidi0KoqdUyKTORWtNxFGmnXxNX0VWZMpNBQOKVWtthIpcoYScn1TRObQRqApfFxL42XNok7Lndhjhp2ZWL+GjX9HITxmxRmXbbGUfLgXZp4hW1kTdTxrhK0df0U89qtj1jFbsK6Joi75UiU34i+ejg/OxonWDjjYqOm6oDBIbzPurcyKfhuQm9OuX4y27G/vg64ver/6inIZSVW93MoIXhsZAptwvtnTx32ubt6soZUOv81U4FrUhmxbXp30LY5UAI0rZSjE+GiIANqT97NexpsKxsJQaMJUuJ8ptq1l5zwqHPdkWM3Vh12XIwtRpp53G7bffTkVFsYra1dXF2WefzX333TdsjRO2jsI0vKgDCU/jBZD2A9pSAfGMzgs7uUQwCzOuitjGZPydRpfKqM13Zldw3cttrE34eXHHAvNgPOvLGVaKTKDZFPcoj4Ty6WAfdHh5gawj7bOuw8tXXy8kNzd0fXizIcOpT2zm/s+OKRKnamIWSU8TaJOWlwmy48XCY9AtSoERawK9az3HjTrGlDDja5IeDBSukfOLqojYRGyTopdwAxoTPnE36NfovVDM8zUsbXbxgm7bmNakz98/SG7R/0vYvdCpDEEyjQo5qLADoeKSwOEj55hJSX+RRK1deK3Lu9O8BiDY2ASWhTWqChUN4b61ElVRij22xvgODaKKX/qZ17O+R/7QKublvLL8PgZwuU4jRyrTexuhbyzLiI45DzKlQAeo0ijesrXGnP6XDxsDwJBtniJkRb+goZUgmcKuruglOg3GZ0zYvqhIDdghM8PRXlZ02VXRWSFJofb5OvaojxKkmtCbX0Kv/C0Eqe50vsJ98r9mBZLCLkh7BeJUblnPPqpgMqZy002F2v+/sCqm9p8q1p9oFHjmgYACrJgx9YaCFMRsu3uKiH1EP21NRNFAvlQmxTABLYsJXj6HwIkNOtpItyxGt70LdthU1As8+h3Vda7Gf+Vc+NhtWGPnbjHKaTBV9XZHI3hhcAxkyg1w/ttrWZt0t3CU4cOiWJRSwJiISd3bmHazlQIHx8SoQ5ltsTqRwdeakDLdeQCU2tYWU+kspbY5iqmwwmHM7i1Oba2ZurBrM+S/9r/+9S9ct/eNmE6nWbhw4bA0Stg25owJM70mxGubUsYw3O9foAk0eUPyXL/gKBNtc//bnfzl/QSOBWNKbTbHfVR2n0Cb3OZQfh8jhCUKPI/aU+aMGzo8GpPBgHPV3F420JQIuP7lVg6fFOWtBpemhM/mRPfA11KD8yLuL2BjZyNim7DVjK9JbUGMClsmRa8y2p2iF3c1zUmTojfYr6VCcSrlG7GvNGTSPNd3+YPy/xJ2L7TrEjS3ZV8pM/EP50SqEO7ytSbSaVwtpF102jXV+jJuj0nZID6FGoJ1DQStnUacCAJUTTkq5ze0hSp+6ecW0nV7tgKfrXoLSgPh+xByzL59eTYP5VhCN4WRZSr7j22hSiL4rZ0k/ufPRpQqGGSqsIN2bEhnUCgqH7way3HQLR1kFr6XF6AG8hkTdgDVM6ByP9j8T3atRz/94YMKYdUdhM50oJfdZfyHvE62Ppe3x3599ovZx4KWne1zAqxwFda4I/s9ar+ikc6mBmIb/ymlspGkOut3lTH/W91p+gP5KQ0logj696XSblfWzD37VDJUAXZ4UNFGQf2L+G9eC6mW3JJ+35c8qSb8pbej0QSvXbbFKKctVtXbRiN4YdckZ8rd6vqU2qpXJFG5Y9PqBqjtVPehZ7J0SMH4aJhUELAumem3CX01zwfSWmMHmnSgcRRopVDazOVg+6TSFVY4HC4zdWHXZ9DC1HvvvZf/feXKlTQ2NuZfB0HACy+8wJgxY4a3dcJWYSnFXlUOz6zZslCRy1V2A42dU6ayPeAjy+MkPM3kCptOF5Ty80JU0jfRSY7SptpWdi7XmPBoS2ksBfcubqMtUxzFtCWCbEDGq5tSzLh7Pe3pwHiOYKJ7FEYQK+yk+7vGnXlqGba6xShj1t5/a2OOoiKiKA/bRSl6cVeTGoYyIKNjipoSh5Ksl5jWOu8TduTkoYfnCrsW/uYWmj97Md7SNVjj67AnjcGePBZn8ljsyWOxJ4/BGldD+pnX0C2dRqwqL8WqNhMcrTW4nhGq0hkjWmXcwaW/JVLZUD0Lyyn+OlJKYdWU4y1bi7toeV6YyHtLZVwojRoDbsd4Gg3qpg90d9tyVjNFwtogjiEMTC46ww8IEimUH5iKh+huITM7GMa2wbbR8SQdZ96I7kgMOp1T2DEoZaHGHo7e/MKObsrwoWyCTDv69Su6xYxU0yD2C4EeTGRlz1iH7E1gZfs9HYBloSPVWzxSf6IR4QojgDmlRhBKNphor8AHsn5/bsJE+gwU/VRwni1FFOWvqI8Uw27fKx+wwdJgh1EDGa9nU++C+hcIVtxbkFY5SHQArUsJFt8wYJST/+7tJjUw0zbgdW2LEbywczBQOl5/21/93kYj+Gjo9EwmQ8RSjA47tLo+G1IutY5N13bK4ysclpRnU/eaXY/O/lIj+tivkM0pj7oIaHR2XqWJWhYxu/seGOlUusIKh8Nhpi7sHgxamPrCF76QFSAUX//613utj0ajXHnllcPaOGHreOb9OPct6QS2XMQ5Py/TuUgoTSbbz23o8rEULGsJKAmb9JwAsC1FyNK4gUmpC1naPCwHmpLmbEpDys96Qg0BjRGeOjOwrMXFVqaqXMxReNkodUcVb7+r4GQDO3LvW3+tt4CSkKIq6xelgaRnKuV1DZCiNxRyZ7aACeVOkflwziB/WYvLos0ZDhrbz4BM2C1I/fkl3NfNgwd/xXr8Fet7bxQOoWJhdHu8eHkkBJEwViSEioRRpRX5yCYdBNnIqkx3dFXaLY4cyEUnKdCxsFmXSKM9H+XY6GgI3dpJ0NSe38VdtBxv2Vrsukq06+Gv3WzCIx3bCE6Ft1VfHWAkZJblQioLxan+IqUci2G58T5sKNCbW1G1ld1/97wXj85+8XQPer2VG3D2Gj+odE4dBJLet4PQOkCvf5ItjzB2IbSLfuMHeTGDdAuDuraeKXt9okxqnZ8VZ/ORUo5Zl/OoClUY/6VB0JdoFKTbCF6/HLrWZqvz6aznlMLEo2MM3b0EhEr6jX4qavmWIopy9JVi6CezvleOeZ+sKNjR7n3sGLr1HfSaR2DPE9CbXzJiW/sKY/weFPpyDYZsK/2UeQ8iNX1HOakQNL6C//9ONu/PAKmFW2sELxX8dg4GSsfrz6j7N+uaWdKZBA2OpfIP8FNBwPq0S4Vt4waakf666at3HRN2cCzFhpSHO8T5VUhBzq42ANpd03e52szrxkRCRdtvj1S64TRTF3YPBv1pe/bZZ9Fac8wxx/DQQw9RU9PdCYdCIWpra7FtqeS1owm05sp/tJL2TYqYpRRuoIuilgo7u8JuzQt0kbG5n/UdSniQ8IJ8tFIYjWOZNLKwBel+KuV1DSG1rD98DUkPktmGaYYWgbWjsQvEKK87y7HP7crCiuqoRciy8LVJi9wU94hntu59LDSCL6TwWGPLrCJRKkfOJ6wpsSua2gpDIfLJj2JNGEWwobH/jTJZYaknaSM2FX3MlDLpWpEwKhbBKoliVXUPLrTnm8iqjId2XXQyA76PbmonaOtCpzLZCZWCkINVFsOqq8zvHzS1m4iaSAVWLAKTxhDUt5j9cp9lP4CyKKo0Zqr2eca/JW9MZ+U8kLJ3Q26/rCF3EWHHrPfEb2rIZPO+ew2w+xtQux54vknpHCCdM/3cwm5DdImu2v60LjETf7Kixy7tMZVF+9CxCqKjzOczNUB/WETPSCjIf9qtMISrTRrdIT+Fd38ObcuzaW1ZA2+lwIoYcaP6gF4pdQPRUzSyAT56PcE/v5M9ds4IPQax0WCXGPPw0gnYH70BVTNrq8SSfg3Fe6YYBq5phw5MCmEuxTAXzeWnQAf4i66GZXdBstG8L060O+pySCjMZ9I25+wjykknG41XFRqCbDVFL47OdOC/dgl89IZicWorjOClgt/OQS4dr9MLqA7ZREImGmcgY+9Aa+5b20ygIdLDNsRC4QeaeLa/CwYY028rPb8zHQXjIiESQcDm1ND727DqzpDJkcqm8SkFEyMhypzi6rjbK5VuuMzUhd2DQQtTEyZMAIpT+oSdj0WbM6xud4uMwe2sqV0hObPzwmJtOVHKAqoiisZk3z1uJgBLa9BG+OhLJ9pNnqFuFVZWjPIC8/72VxEwZEF5xKIqYvyiMoGmMxMQd71tTtGzMH93ZZGPgCskahvxqSrSt5ic8ozvWF2JiM27O84eYxi7+g9kXltKZuEy/A/q8T/YnP2/nqCxbWgH1DovWOmOePe0zbIgZKPCIYhFUKVR7MpaY9ib9tCeBxWlUBLpTgdMpgm0Nl5UucPUVZpjpF0jXlSUospL8pFWeB6B51N5/Twy/1pK4tf/123+GwSQ1uYGtS3jN6VBVZahYhFUyCZo7UR3JqGqDDriBeGF4j21NahIiCDjZs3Rg4E9yLTG39CIM30SZCO0e6Zzpp9bSOu8m9CdCazaikGb5QvDh063dIsqehd6UrRFNKQaIN02yPQ8KKqTpZyCCn4aSs3nGC+OUzIWPevS7upuToz89NNLQqj/lLpBt14HqGQDYEF0tBF4LAfsWF5Q0dE6SLeYdMytONcWRZfCFEMvmX2LwlAyDhUqK/CcylY3VDY4pdD+nkk5jI0FP9P9nhamPW5xZJl9oFG+pxHg0i1opyR//TrT2S1K5bYnyBbQyEA8if/mj1HHPZl/b4ZqBC8V/HYOAq25bVUDnV7AuEh3IZeYrQY09l7ckWRT2mRrZD8deIGmUINKaiMUtbh+r7nVcFH4SS+1LWrDNk0Zn8RWmufmslFspZgYC2EBTRmfL4+v5rmmDrq8AMdSOyyVbjjM1IXdg62Oz1u5ciUbN27sZYR+9NFHb3OjhK2nKeETBGYOlfsqz/0Udme2BePLbFoSPl09elZLQUuqu1u0KAo+NwWTc+GgMk8Dug3Z/XxKZN/bRWyojFhUGJMpkl5ASzIYthS9fG2frDCWq57oWEaIcpQi4wc88LnR/GJhJ4sbM0xwepsOtqQCZo0KM2dMuN9zBVqzaHOGpoRPXYnNnDFhecKxi6LCIUKzpmKNqe714c28+i5t37xu21PZggDSATrtQmfCDPpyfga2hQqHUNEwqiSKKi81E4nApOjF73o8LzZoHWDVVeJ9UI89eWw+xZzSKGhNsKGJ8Kyp2GNrSf3p+W6zc0uZNuRygstj0JkEz0e3dKCzZu+h/fck6Ezgv7+x+5qHq/BOYZTW7kjOCbbgEnXaNX/fsTXojVvw7Ak0Op4yqZoTRhnBMRrOp3Pm/cU6E1gT6rr7rS2Y5QvDi4rUGGHFS4JO7ejmDD+DFqUw1Qn9XGU+P1thT5uUNTsKqc35iBpLWcXCTeBlI6V6p9QNlArW17p8GlzrEsi0mnZ40XyUUnd7t94TabCiSy7FMEg1ESz5KXStN75Xec+pIJve55oURyvS7YOV3ETvEetgU0azI9VUI6TbTSSfcsCOoKOjeohSue0Loty0D23vEqx8AHuf0/JbDdYIfiQq+Gmts1FnfrfgqXMCv1/8OrdNbrtIDaqv9MMPAW+2J3inM0lYKZKBJpb1dYWBjb1bMh5oTcRSJH2dtyPJzaPykqaG1Hb4Lq8LOYQs2JBy+33IPRh8DSW2xeiIQ7ljk/QDSh2Lr06s4TNjKyWVTthpGLIwtW7dOr773e+yfPnygqof3Tf80qVLh7eFWX7xi19w++23Fy2bMmUKf/3rXwFTFXD+/Pk8+eSTZDIZ5s6dyw9/+EPq6rrz9Tdu3MjVV1/Nq6++SklJCV/4whe44IILcApMd1999VXmz5/PihUrGDduHGeddRZf/OIXR+SaRoK6EpuSkCLlK9K+JpTtRu0eD/vDFoAm2UOUyn1FF3aAhcOD3enZ6LbSU4zqC0UuMklRGrIIgLirqU/4W52iNxDlEYuujJl4Tyw3ueiORd7YPOEGxF2L8eVhLv1YFfOeamRDl09N1CLqKFKeEaUqwopLP1bVr9D03JoE819pY1mLm6/qOL0mxKUfq5JKfrsoKhLGrqtG+6a6WpBx8d99n/TLS7Aqy9HZNKvc/8MisOSe/vkBOuNlDbKzflIqq6iGw+iOBG3n3Iq/rgGvuR38AKushKChFVVTjlVWgu5KEGxuQ1WUUHbxyXTd+DuT3mdb+egbrSxQWXGqtau7HWEHYkbYcjc2QSI9Mp5Su7MoBcU+UrnftYZ4Cqu6nKC2At3c0f/+2f10KoP3QT3O5LF50dKqq8z7i1m1FX16x/Rlli+MALn0pswbH+5BgbLz4hKBi4m+SQPGt4hkPYTKiyJq+vKG0lX7o9reJdj0d+MVlWlHL/1ln1FJQK+IJSK1RowJfBN9lMlGmPopiK9Hl05Ehcqyy/r2RNoSedEl02lEqZz/kxWFUCWkGvEXz4fRj2JZDtTMwgaUFc5HGxmfrRTGfM41719sNHhdFJWzUU62/xhqrpRlxKjERvIygnbB86ArSd8f1h7H1wHBsrtRU08215E78mCM4FvfQSc2QelEVKjERM9hobHM76FKtJdEtyyBir2y1xj0EJZyYlOhyJRtZ76pPcW1HpegNXSuRttRrEjVh87f6h/Nnfxw6UaaM54Zp2eyxuVZUQb6N/auCTsEWpP2ddGnpee7PNKPYC1M6l48CGhKb7ulRshSjA7blDt2rzQ9SylJpRN2GoYsTP3kJz9h4sSJ3HvvvRx99NH88Y9/pLW1lRtuuIFLLrlkJNqYZ5999uGee+7Jvy70tLruuut4/vnnufXWWykvL+faa6/le9/7Hg8++CAAvu8zb9486urqePDBB2loaOCSSy4hFApx/vnnA0Z0mzdvHieddBI333wzL7/8MldeeSWjRo3isMMOG9FrGy7mjAmzb22Y1+vTeIEmnXvA0mM7rWFDR0BAd9qXq7vDPXPsRtamw8Jgxai8ebmtyAQQdwNau/xhqaI3EBlfE3Ug7kLaC4hG7aJqe4WRUJZSLDhuVF5gak0FhG3FrFHhAQWm59YkmPdUI50ZTW3UIhKzSHuaxY0Z5j3VyILjRok4tQuiwiGTIgekn19E1y/+hL9mE0F7F6qiFMspTuvMCVgmfc4vFq5c30QqbQtam+O4SYJ4ksQdD3evsyxwjGChk2l0RQlWbRXhYw6idN7nsSpK8etbsKeMw1+9Ed0RN4P1/m7ajAeZLmOg3hHve5tCVDYVcDCVBz+UdAtU1pRxBGs3429qxt5rPH573KwPMBFsRbtp04GGHPB8vI1NWKUxQrOmEpozjfTTr+X9xfo8ayRE0NBK6q+vAogh+giRT296+ZysqPAhJToa3M6sGJUbLWXFhnSLEaX2PqW3oXaBN1RQ/yLB86d2C006MMblViTrC1UQlfTKudlT+N0RS16qOw2ubLKpNJduNcbjKmSEmmQD2ik1J896Iumq/aFl8eDNuVuXoFvfMceNt2fv3R7CUfNb+E9/Hg68LH/NRdFGre9ko6VsI1LFRhshLbGp+FxKmbYHg4hcUyHyUUM9o6yU1S30MEBfnRWQULY5d7Ie/+8nwwHfR40+BNqWojPtEK6Cyn2NKKED8FImes10ZgTJzeb9D1dnI518wMuKToER81JN6I7l3UIh0Ke4FHjmvfaSRszzzf8699pLgp/ILsutT6LjG6BztREgw9UEaFTlPh8af6ucr1Sr65P9q6LQpHzN+qTLxBiUO3a/xt4vNnfS4gVbnPeMpKte1FLUhR2aMh6pYUpLcQPN+pTHaG0qe/dM05NUOmFnYcjC1KJFi/jNb35DTU0NlmWhlOLggw/m/PPP58c//jGPPvroCDTTYNs2o0aN6rW8s7OTP/3pT9x88818/OMfB4xQ9elPf5o333yT2bNn8+KLL7Jy5Uruuece6urq2G+//Tj33HO5+eab+d73vkc4HObBBx9k4sSJXHrppQBMnTqVhQsXcu+99w4oTGUyGTKZ7i/Qrq4dO1D74rRSljSlSXl9z8NitvmKjjiQ8Y3IMpBeUihO9bD2HDQFLgy7HAozVhkoRc9SUBpSVEUsIrYi5Wu6MprNrr9di3mlfZ3Pja+PBzQmA2KOMVVP+/SKhDpqzxKOnBwbdEpeoDXzX2mjM6OZUGZ35+2HFBMcxYYun/mvtHHkZHnasq3sqH6lp4ePv6ERktl2ODY4NirkmP9zr6NhVFkM1aMARi/RyvPB9bqjroLAVMlLDzFXLjClLXXGPAnXzR0E79fjvbkC98W3UdXl+A0tWLWVqHG1qLISMznIuGafdMb831M8G4qYti3C1O6u+GuMKDWhDruyDMa6BBub8RtazfvW8+9dlCNB998hkYLqcsovPQVlWb38xQoJOuL4G5ognaHrZ/9L4s7HxBC9H4ajb7HGzkXPOI9g4ZUMrjLdzkBP+99tPJbbCeVTjAiVrDfiQ2y0iSLKekcFKx9AVc/oUxTolRpnhaHzfSMqBCZ6RmWrxmkrAh3LzP1ROb27+mn+3lEmaipUZtoQX2+ihbCMkJFpN+KFU4Yae0SxGDYIc+6g/gWTIpgzGCcnTBWiofVt/JfPhY/fViROqTGHotc8YozOnVIIV5kHZl4yG31V0AkMNrLUChVEV/ndHl+5CCWV9bBCGfP1QvFJ2dlt+vHRTDbjv3kdhCrMdQdps23JWKzJX8SqOTD7sKNAJOpcY36sDSaKrmdEVJCBwEWv/gP+B4+Cl0T7hUJTToRKZSPwtpFkEkrGbzd/qx09Fyr0ldojGmJ1oEkFASGlUGg8rWlIe5Raqk9j7+ebOvjJ8vod+tVc5diEs6l7w90OV2saMx4fqyrlvL3HSJqesFMyZGEqCAJKS82Tl+rqahoaGthrr72YMGEC77///rA3sJAPPviAuXPnEolEmD17NhdccAHjx49nyZIluK7LoYcemt926tSpjB8/Pi9Mvfnmm0ybNq0otW/u3LlcffXVrFy5kv33358333wzL2wVbnPdddcN2K4FCxb0SjPcERSmV6U8SGclfYWZC0RsxfgyG1vB8lavKDqqZ/50jr46xq3pLCeWW7SkNYmMRisToeX3Y5y+M1Doy6Xpe5xkKulZVEYsQpapHNie0XRl/B3mvZWL5Irapn1pH+IZTdL1OXB0mBs/UdsrmslSioPG9q5e0xeLNmdY1uJSG7X6TKWpiVosa3FZtDkz6GMKfbMj+pWeHj4k090dCRghxvNNihx99AVKFQtX2f9xbFQkhAo59KpqVF2G3ticr8gWuK6JYMqJPkMx+/R8/A/q4YN6s+vm1uL1jg1hx6SGlcZMqqDOerZkfHQqbc7dM5Kn1xul+69qsCVCjrnW3QXb6vNvpMbVYI8x6UJWbSW6M4lVW4nf1sdkpedb6XYLHSrS7XMXmjMNZ/ok3MWrijymgo44/trN5m8Xi2BPGiOG6AMwXH2LtfcpBO/cAcn1w9Cqkaanb9FQ9+3xIbVCRqzwkkb00YGpehft9nTS4cp+fYX68iPSXsKISVbYiH3ZSCellDlXbiASpMDKfo8H2YggZZtt/JQxGS+dmK18l85HYanqA4wotfKBIZlzax0QrP9LtwCG1/v96N4Y0g19moiz5wmoNX9Ety3NbqpNdFiu/T1FI7LpcEU/WaFJWSaqLOdV1W97spFKuTQ5P41JucxeQ09fJt2H4GZFsx8BH9qWEmz8fwSW3X2MIaIb/jnkfbYOZYRKK7JV/lZDZUfPhRZ3JFkRT1EdMg9Nx0RCrEtlcLXGVgobI1StT3lUh+2iiKFAa368vJ7MDkq3V8DoiEPCD2joq2LRNlITsojYFm4AV00fx5yq0mE/hyAMB0MWpvbZZx+WLVvGHnvswYEHHsjdd99NKBTiD3/4A3vsscdItBGAWbNmcf311zNlyhQaGxu54447+NrXvsbjjz9OU1MToVCIiori8P7a2loaG03J36ampiJRCsi/3tI2XV1dpFIpotFon22bN28ep59+ev51V1cXRxxxxLZd8BDpmV4Vcyw600G+Mvq4MptRJeYLvT0dgC728y2UGPrqlh1lRKyt7bLXdwX5sqQDpcHtSAqjwfpzNnAsKA9ZVEQsbMv4RTUnfRLu8PtFbS22gj0qQlREFAlX4/qa1lRAdczmyMnbZoTZlPDJ+JpIrO+BTdRRtKYCmhK7yhP0nZcd0a/09PDxO+JbFmkK0bo7Iop++gvL6hatQjZ2RQlaZQWIMhunMOrKUkXRVtr10JmMESDcbMTVUDqTnLBGunfbnGzFwPISkyaISX/VfoByPVMlsDBCyttKcSkI8qmIaHZ9kaof4VA3thOUxlDlJejWTrCt/OdiKKG3/uaWInGp/NJTaJ13E8GGJqyacnQkZCKlMh6EbJyJo0w0iRii98tw9S3B5n+C27rlDXcKtvYb2u42NNc5ISL7OgiMKOUlstE0Y4qEd6UUOlyF7liJblkMyur2ldKBiViKVHXvE2S9+3LiTFZowollxZXsuqCgH7KyYg5ko3LMPaZCZSZ9L9MGXhx7zg9h8ucJnj916ObcrUsgudkIZkFPs3vVQzSyjFiU2IhufQdVM7Pg/bBQ+5+HXnwDZDqAwBjEl00i7ymVjzLKiUZ+9trdbgGpLyGpSFAa5tFYr2tmaN+L24pyzPuU+0wEuX7UMtFnFfugQqXohleNYGqHzfalk1Ce8RvLfQ5pXQI1s0akmTt6LtSS8XADTSRkPtdljsUe0TCb0y7pQBNk5zB7xML8aL/xRRFDizuSrIqnge0f0BxWitqwQ7PrkRmhyVGHFzDBsXGVptWV8bmw8zJkYeqss84imTQlYM855xzmzZvH1772NaqqqvjZz3427A3MUdi57bvvvhx44IF84hOf4C9/+Uu/gtH2IhwOEw73X71spOkrvaojbQywQ1lBqSXpU+IoPK3w+uj4cl5TPecLMccETOiCdZYaWrBAzpNpWypKjBQ9xai+CFmmkl5ZyAIFXZmAzYmR94vaWkaXGuEMjNcVIQjZiuXDEMlUV2ITthVpTxML9U7VS3nGCL2upJ/weGHQ7Ih+JWhqL/LwCQYyqt7qk+TS8FxQJtpFt8cJ4inyExM7JxLFwPVMimDIwYpFoLzEvC7M/PCzolUqY4SnIDCCSSI1eOEql2qYpXAv7diosGMq/6lsPKUOsqmJJj1x0OkngXkwgGXvnAr9cOF5Joop7EA8bUTGpqyxfSRkIq1Smb7fgx7lj4KOeF5cihx1ENULLqJz/gN4y9YSNLRCOgOxiBGlyrsjQsUQvW+Go28J6l8kePV8EzG0q2CXZoWODEOLngqyvnKlECo3KXx+tr8KMuZeLpnQwzcod86IMQZ/7RKT8pc3LK8xglahCbmVjQbSvjlfLtoHTGpYTkiyCr5fc1XtvKRZb/UY1vspVPUM1J4nGJ+onmIYueIQFjo6xngUtb4LNTPyh9BuF4SqIDIa0o3kY8pVtr/uJRIB2sdfPJ+gZIK5zly6m5eExIbu6nxDNjjfibHC4JSYv58bp+gzphyomIaqmQF2FOXE0MlGdPMb5nOhA/O3KxmHmvR5rLqDzLHsKMoKETQtJHj7FnAtiFYY8cnPgNthzN4nfQaa34RoXVawKoFQKWSFqW2pxjhYdvRcqCbsELIU6UATs7vFqTInQtIPiPs+bgA/nTGxV8RQS8bDz36Hb89PY7ltEbUU9enhT90rxNOwPuVS6di9fLUEYWdiyJ/OQq+lyZMn89e//pW2tjYqKyt7pfaMJBUVFey5556sXbuWQw89FNd16ejoKIqaam5uzntS1dXVsXjx4qJjNDWZ0tWF2+SWFW5TVla2w8WvgegrvcqxjNCEee5Plwsrsul7Od/ZnvRcZiu48tBqHluZYHmzS1lY0ZAYumfSzmanMhgxKmxDZdiiLGzhaSNGbejycHfW3MMCInbvqIDhimSaMybM9JoQixszTMiaqufoaa4u7HoUeviYNIsRfrKmFEFjG1Z1GTptRCUTLQBUxNDJDHQmsg/Te9ytYccIVLlUwZzXVThk5kwhx0Q/tXahA41Op9EJk6qnXbfb42ownVNetEr3Xpc9L46db7sOdD46q1cFw9yvmSGIWbsiGuMFlXZNZb2qsm5hKuMZwcqxze997asw69MuVl1lkbgUOeogwkfOwV20nNRfX6XrZ/+LPWlM3xFR0TC6tZMgd25hm+lOQ4tjbjabnd5nKjIKSsaa1LH4+qyHT3/3nzJpeXbI3KORaiMa2DETBRWphcR6KJ2INf3bBItvNGJTX6RbjZDVtR5io/Kpc8TXm+XpNohmxakgm1aG3920ZD1aZduTF6Zy41ELZSl0yXiIr8tGy8TQVtQIZm47REajJn8R3byIoPF1UGGwQsZcuygiKfu7l8R77WKUFTKphV7CtDPT1nea20Bs+vtONfbbepQREN3O7OfGArQxvw+VmvWpJqjcG7XXyeglPwUccCJZA/YAvDS4HajRH8eqO4igaSF67Z/NPRSu7haaEvXolQ+gY2OMOIUZWwWrfmu2jY3ORqdh/t5OKaQa0Q0vm8+IxhxL9RQot64a467ErIoY+5RGebczSdQqHp9GLUWbC/uXxziwD5PvmrBDzLboGop1wDaggNqwMWFvHOEIJgWEgIw2Xr8zynfe+awgDItsWlVVNRyHGRLxeJx169YxatQoZsyYQSgU4uWXX+a4444DYPXq1WzcuJHZs2cDMHv2bH7961/T3NxMbW0tAC+99BJlZWXsvffe+W3+8Y9/FJ3npZdeyh9jZ6Wv9KqSkCLiKOKuzj+QHmrEksKYZX9jRjnXvNRC3NWMidlsivtDMzLfCZSpnt66fRF1FBVhi9KQIu1rulxNS4e3U0Z6FdIzyq0PXWrYIpksZczT5z3VyIYun5qoRdRRpDwjSvU0Vxd2LQo9fCiPjbxwohQkMwRpFxUJo61seGYsjEKhyksJOhP0eddmPHRBbZw+WxoNo6Ih0Apr0mhUZRl0JCBk543adaCNUJXKmHTBZNpEQPnB4K6/R6RVET1FK002misbaRXs5JP54cIPit+jbMonoX6GIJYy6ywFro+2LUilisQlZVn5CKjEnY/1aYgOQCpjPMXqKofzij7c5CJvwpUmCmZ7pjVtDVYUSsaY35VlhIBMW7aaXk+yIlBstPHQWvmAqTwYrgK0qYCWaYNwNfbsq7Km3g+j25ai7Wjxw5oggFQDYEHpRJRl572RtFMOHcvB7URH6iBImuOGyijuzRSkmkG1m3brwKTJqawBeeB1V/PzU9C2JCsgdRO8et7Q3q+W1h09ZBscVtSkVw4m8sopN6Kc27yFg6ruqNhcmiIWWDGwUiY6LUe4CpzsJN8KQaoFvfp3gG1M8a3CPAQg1Uyw9gmoO4hg3Z9NtFvpJNPPUfCTbiHY+CxqzFyTUtm52iyvmWlEp8K2AkRHGeP0mpnm8xapLboirXW+GiPVM9hdsZTi3KmjuWDJOurTHlUhm0g2gqrN9Sn7/+ydeZwlVXn3v+dU3bX3baZnB2ZgAGWGYcQoQUDkfTUaFzRxiUBwCURBMRIVUSMaFFRUiLggLohojG/ExCQYNwREwAWBEQUGB5i9Z3rf7lp1zvvHqXv79n57pnu6p+f5fj4z3V23bt1TdevWrfrV7/k9vuYdx7SxZSBLTyGgOe6zod416tlQn2JVKkbnRDdKZhlfQUvcp6cQUjwEN6d85QQpD/CU4tHBnHTgExYsMxamMpkMX/7yl3nggQfo7u7GjDkh+dnPfjZrg6vkE5/4BC984QtZvnw5+/fv53Of+xxaa/7yL/+Suro6XvOa13DttdfS0NBAbW0tV199NZs2bSqLSqeffjrr1q3jve99L+95z3vo7Ozk+uuv541vfGPZevr617+eb33rW3zyk5/kNa95DQ888AA//OEPuemmm+ZknWaLicurFO1pjyf7DvwgG1i47Kc91Cc0WkGmaBnImyk7+E3EfJkCqhGj0r6iLq5J+pALYbho6MwsnLyoahgrAfljJsy2k+nso9Lc9OK2ctB+b84Q9xQb2uJc8bzGceHqwuGD0nokw6d3Dsr4Rr0Y6KPaUfEYZl8vKhGn/oMXYIHsV/+bcHcXZn/PSKnXJCHbU5IruFwjawmf2uPcOWEpowSI+VHWlY9e1ozf1kS4e78rbUnEXee+KF/K5gojOVMWKFTRNWka0YpUwrl8VHTxUOm0WmxuqrGh58ZO7JaKRQ44pdyFvVKo0ECFuGSNofjQVkxXP6q5Hu+4VQS/f6ociG6thUweEwTYnkFipxxHbNNxh2AljwxsqSQt2RSVp81vJ+LJ0VB3jHNJ5XtHOtNN6PypuMVjQ/S68/BO+HtofDbm8S84caA47NxhdcegV/4FhFnsjv9yF/sDT0XuprhblCk6oUj54PkwvANbciXZkigdHc96Hz5UG+TQ4deilv65y8fyUigvicl1w87/ZrQ/f6wIFAlDaoJp5fminzruXEtaR2J3BoKBkefAiMuMmBOR4qnxyyn/PhFRd794E+ST7v20gROoapZX5HsZyHa6973+KOeMK5U5mqjLYqLVfV56H3MOq2Qryk9UCIlOXLN+Ega3oQq9qKZnORE41wXJNpTJl+crlUBYG0K2E73i/2Ce+i5k9jrRWMewYSSk+rXoEy6Zs+DzhcIZLXV8+tmruGHbfp4cztEXWGJKcWJdihe21fK5pzp5cjhH0VhiWnFsTZLL1i7h9OZaVqfi/K5/bkuT01qT9hT788GsXmdoIKUVw8aO6j1aqpxJakVb3GfYGHoOgfgmCAfKjIWpD37wg/z617/mla98JW1tbYesfK+jo4N3v/vd9PX10dzczObNm/nud79Lc7OzpV555ZVorXnnO99JoVDg9NNP58Mf/nD5+Z7n8aUvfYmrrrqK173udaRSKc4991ze+c53ludZtWoVN910E9dccw233nor7e3tXH311aPKFxcik5VXzUbOqwH68oa1jT5L0/BYjzugxaLv8cmaR5REoUNtlppOjFI4N1ldXBP3nNjWXzDsyxy+F4EGqPFdnkpooTdvUcrMqZPp7KPSnLUmxUP7CnRlQlrTHpuWxsUptQgoZfgMXPNNCnc/PHMxqErU8la8Rhc+qo5qx+zuYvir/43p7MMOZlA1SSde+J4TakLjapSNnVk2kzHgeZGwFZUKeh7EYqh03JX3DQ4TZvMwnEMvaSLc240ZzKIbalxdb8JHpRKoYoC3qg3d2kSwfa8rMzTWlRzm8i7jyk4iuIylHMQ+AaXyRM9dYDnRyow4uRYLE4lvWo+IS4GBVIJwOEfsmOWE+/sY/tJ/kPneXYRbd7o8tHgM3dYInsbs7oKEj+kdch0lo6B52ztI4a6HpDPfLKESzVFXuoJzaxzitvDRKCiHbqMrplUIDbEm1DGvxz797yOdA70E5TOFUrbBmAt9bIjZ8gnMo5+NhKwx4nJmJ6bzV9UPdb6NkTpeFoiAikyj+EgmlQnAizuXTt3aaP6kc4/5SZSXwgxtx27/T5cRBZGANFY40pBoQj/rXeiWjeXHrLXw2yuhds0UItA02Mr3Krr8DvOQXOmmFYdHStjiTe4kuDAYdSbMQDg0shzlA5UCoR1ZvtKgov3bhm47od162+jxZKsTI7UXlWfmou0aQk3oMruKQy5Lq7KjolLYvT93y0othXB4gvU0kOvG5jqdbBavd8so9Lr3ZSxBFjDo9tNRzRswj33eiVkmcOV7jSegT7hkXLfFxcoZLXWc3lw7yhnVXwz4xz/sYjAwNMU8EjHnpPrjYJa3P7KdJYkYz2QmCLmfRRpjHoExdM1yJkidp/jw8SvYUJfkjb97hrhSpH0n1oaArxQpT5MNDTGrJGNKWNAoa2d2W/Y5z3kON910E5s3ywneZAwNDbF582YefPBBamsnCMOcAyq78pXKq/YMBuzLuANgvNQA6gCPh0lf0V7j8Uy/u+DSQMJz1w3FSfYghbsWnGkm1UyZTvxSQG1cURtznfQyRctQ0VCYw5PFQy3I1cWhvcbn4pPr+dHTWZ7oKVIIXfne+uaYOJkWAYf6uGKNYeADX2bok9+e9VIdtbwFf9noDqjB/h7srijjT+EuXoxzypTFHsWI4l4SaLSaXqjytMvPSidH8qjSrgTDWovtGcAO56j/zKWk/+b/UrjroXK4dkn88I5bhe0dJNzViV7RCtk8wZ4ulNauXE8pSCdcuWDMh6EstnfAlbHlCth80bmsDlZY8r1IaFNRgiBuO5WcVosFrdx7nYyDMejatAu4HxgGpdCtDehlLZAvupB+X6PSScKn9450PkzG8Vrqsbkiqi5d7uwnjGamxxZrDeFdb8T2PeacI5lI9JnI4VJyaKjoJKTyb7ewCqHCVtzRqrzFNEZEquzcVv55+N5cGqEktnmjf6KdS6dlE6pmVTk824lGJQEphYqlnfjkp132kO8eV8qn0h1ken6P2X67y7myxr1GzSr00X+NbtkUjaNiPBXuI2vBbP8B9ql/jQSqyu2voeFYvGddhl7yZ6PWzPb+geDei5xrzZaytIBRoemVwlPl7xMcM8sldcaJXSgYemZk/6ldg/LTThALs5Dvh3x3lBU14Mag/Oi7I6DsMfHrXRYYCnKdThDya9y6FaOxqxguByzad1Uk8NUfA5kOV45pw4rtG5Vym8gtl2x2z000u/dxDDbIQjCM/4Kvopo3jP68pdoZm+1JtgPVeALeWd9ygpg1rtw26gBJ07PnxSk1H9dC4BpCVYpSz65L8rrfPs0fBrMsS/ijtl9XvsiefIAG6j1F7xxkd2igOebRH5hZLd3zgVXJGJesXcrfrnLlm3/9m6f442CW9jHraa2lIx9wYl2K/3fqMXITWViwzFg2ra+vn5dMKWFqJiqvKgkvnnJuGnMQHaBygWXXwOg8FwvoKVr0+Xp8mdlsMZ0zSiuojSlq4xqFZbgIndmZB7cfKHNxijyV2LUk7fOlF7dx9lFp/uG5jeJkEg4apTX1H7uI/E9+Q/H326Kw8FnYs5NxdM3ok3EzMIzt6B25GC1fhOKyg2I+JGNQDFFN9ShPY7r6qh+PsZjhHP7y1nEB2UopaKrD5gp4bU0orUeFa5uufnRrA7FNx1G46yFX5ri7C91ch9fWSLinG9s/5MSSlgb8o5dTd8V5BH/aRf8VXyqXBaqGGlQ6iTUGlYsC2Etlgvli9W6oCgFq3NpXOq2iz7w11jnFQrMwhKtqhESI5nGCpKpJuhDzivfcdPRg+ofxVy1Br2jF7O7CdPdDXRrdUo+O+aPER7O7q9zZb8KQdKFqlNLoEy4hfOBdLhw71sCIgFAhVFgz4kiZaXD2QkXHI/EnEoT8FMqL3Eh+ckQYiv62e3/hBI14gxNCtB8JFZ4L065dg1r3t9jff8oJIF6cESEoes0wD0EGb+MHUI3rGV+GpplJ9YK34mz08rOg9w/YfC8q0QRNz3IPjhE0xk5TTc9G1ywjzO1z2VteDaX8PMIMDG2PAsJHY3OdrqSsOEzJlTaiIsGofcOvcW4lE+1PlSg/cusVo7I6O5LVZ0x082LEHaaUAj+NDYtOmIrVQLzeOZnCLOPsbGHWZXrF0qiWjajj34ZONGLzPZg9P8c+eYsTq1T0PloDJgPGQ616GXTcg+19zH0urBkJxS+JqH46WqUQ8r3jc8kmyIMqf95+c4UrF403joToT1Cmp5SG5g1zdv69kLmne5Abtu3jj4M5CsYS14pVqRjbs0WaY155Ww8Fhj25Atno+ySEORGlElpR42m6ZiHgvHQN0OxrmmI+A0HIsLF8dts+/rujn8vWLpk2Y+uytUvkekBY0MxYmLrsssu44YYb+MQnPkEqNYGlVJg3xpZX/Xx7hk/9qp/QQjgLB9zKbKmS+0orN3Ei0SQwIzdC/VlwTlUjRtVF4eXWWoYD6BgO57Uj+8E4pzxGnzJNtZy/Or627IjSSrG5fYIQYEGYIUprGj759pHMKU9jh7IVWU0z2LtLgkShSLhjH6xeiq6vwVpL2NHjhJnJKAYQXevYngGswr1+bMyFybgVUO7gExqIcqJKYsUoJgjIrgzXLlEqc6x0U3kt9ejlraTOPYP42ZsBi+0ZxN90LLHN6yk+tBXqUuiYDxbCbXvKY1fxKN+qvgYVj2FjHspw0KLVhO+KF2VaeZ57L5QCa12OUxCFsYeHQLgqHZCr+VIwxn3xpBKYvd3uuZUH1Wye4Jm9+EctQ6UTmB19eKuXohtG351XSqGb60Z19hMODpVqg2wHC1tsKgk3lb+XXEiMuJFKJYElwUipkelr/wZv1cvKLiSl/QlcYaX51Thniln+AOHD/+xEqFjCCRVhHgr7wavBO+5NqCXPI9za4BwxyaVucZG4Z60pO2JU8+w5X5x4cVJZvDAd91aUgBXdOEsh2vnukWl1a0cEpppVY0SVZsh2YB77PGrpaaPGqhLNTiwKCyPCTlmcqtiHEq2oZ70TlId9+rvQ8/uR90onRkLsS50VS+WE5S6LHqSWTCDURe4ma1DxBicADe+Kpnvg2qlGYmMCfeI70OvOG1kHa+Dxm5xoZsOoPK9UGl7jltFxD+r4t2F/fTnks5FwVRJpA/d3aon7me9xImcVQhPgyvBOvXbkPSr0H5FlelNxT/cgb39kO12FwMV74T713QWX51TnaVIeDAUh27OFGeflzpR6X2OspWcWu+5p3Nf3QGhoivtl4emPg1kuf3Qnn372qkkzti5bu4QzWupmbSyCMBfMWJj6+te/zo4dOzjttNNYuXIlvj96Ed///vdnbXDCzCmJEj99ephv/WFwTmvKQjtilproJUqmh7QPNTFFY1Kze8hQCCyhrW5Y04lRXkmMijtH2FDR0jFs5lWMqiQdUyQ96M6NHtAE9wgPit/uyWKsnfGdEGOtuKuEKRkrxhjlcuy8Za1461eR+06VDS98zwlaUcC36ehB1aUxnX0wNIPAUU+PlBaGIWpZC7YkWlSilCsDKwaQTEBoXMj6UeNLIUzPILENa6sKyC65qQoPPkHxV38AIPZnJ2L7hxn8wJdHlf/ptkZX5jeYheY6TLHoLlSsE+hsFKBuywG60cVTKZQ9XiFa+Z47HhYCKBYrRKsqBaUwhOxkopWOMrcS7nd3ZeyqUILQBchHIfKzRrV3KozF7umqsN+qqFt7NJbQEO7tRrU1OqFNT3L8SsaxvYOjOvsJB44NJumWecBUijyVYk9JBBojIJVEJu1RDqgu/yw9nwnK/gzggS2OCCM2etwUgXyFmGBhz09Qz3rHAQtCeunzYOP7x+f+1K9zgsLS09x86y9yjpjMrqqEitnEdNzrXrs4BInotfO90PcH9xanl0d5SHno/b0T2VLLxok/SilsvNGtZ++j0Lxh5MGmZ6MajsV2P+JEGhs6oav8vgREH2zsHz/nHqs9xoXX5zpdlpmfKr+mTa+ISkgVFAbAizknlLVR6d0ILq8uC7E6CLLYWINbJlHOllLuvfeTriwwtw+764ew7ryRhZQ6UaaWOPEqzLobItqLBLccduBPeIlGOPZCzO8/FWluQSRepZxgFqt1YqPy0Mf+LXb/L6sWmnT76ailpy2IMr2FhrGWqx7fw/68u8Hla1UOAS8aiwH25AooFWd7pjCnsW8KV7o3GBoKs3gxUhLaCgaOSo+U6qU8F27ekQ+4Ydt+/t+px4zL2Cp1HxSEhc6MhalzzjlnLsYhzIDpxISfPpPhdf+5n768mfebmRZoijKvBgqwus5jqGDZOxxOVgE4qqPERLP4esQZVQwtw4Flz6CZ71VFAzFd+iJ0XyDLaj1iWjFQKLobe679lvtSNDCFR4QQt4waH4ammLEpCU/2hTy0rzAjp9Sdz2TKpZ+SRyVMxWSlbdYYOu5/FLt939QLULjMn5jvBA5jsJkcwb4e6OiZmeBhLSqdRNWnMR092M4+aK6HSsFB4bq7FQPwNN7yFkzPACoRL5fhkYxDroDpGUTVp6m74ryqS7zydz7IwAdvJnxqj3McaeckU8k43rIWVKIe8kXCXZ0YrfBSccI9XU5UmuhEtXL9K0Wr4THHwJJoNdZpNUq0CrCFwsycVqELEbYTZL9az71vqi7tygS1do41ixO7ysLVHDuuxm62yk2WzUMu7xwrk10ITOCKEw4c1bwRGo5znciCTOQeKTmQFKMzkjz3+S+VP2mfUeLRWGypc2ZJOKoQlUr/IOp8VznNVvxeMd+EKxB1V5v4wUj8AoZ3jhdZZkg1gsJ8OWKsNZjHPu9EqXT7SOOBQj9lNbjQB4kmlJ9yolmh35WhJZrGO5O8BBT63XpWTB5Vjlbq6miKjHqfvJTLgCqJcgNPAJ4rmyz2g1LY0mPBEKRXoo+/CFW7GpVoxuT7ML+90rmQSuWlQc6VGMYb0evOw/zpNidohbnoPbZOLFTaCUdaTyiulTtReolyeeCo7Vix3rr9BZitX4/KNv2yeFXeVmEetI9edgac+HbofRST60KVtmm8HmvNhILTkVymNxWP9Gd4fMh9gcUrbk5oIK4gZyFv4alMYU7HEVOKel/TU5zkJtBB4OGuLzLGMBxaaitacCulaIx5PDmcY8tAlpMb0pzcIOfxwuHHjIWpSy+9dC7GIVRJpZiQDwxKKZbVely0sZ6LNtVz1/Ysb/6f/fTljOtYPN8DBrqyls+8qJn/2DrM490F9kd37RPaKf9lK/mYn5XEIjEqHYlRQ0VLX27+xahKtAJPK5fpEv0d08q5pnxFNrDEI+EKO7UoVWJFnaY/b1HYSde1EMAQhq5M9ReFlWH5LUlNIqXJB5YtnQUu/lEnN0V5VYIAYI2ZMG9p8NrbIJOffgHKdYgpZxxZ3AXl7q6ZD8b30O3NTpTxPcJ9vaiSU8ZEjqPoxFSlEnjLWlz4eW2auvefT/b2u52rqXcQFY8R27CWuivOqzoUe/DT/8rAh77isq9KrxUaJ7YFAXYo7XKRfA/jKdjbPakIP2PGOq0qHxvrtGqorSgPtE48KgTYfME9f0aiVcF1HBz7miXRKuajalJOINMai0VFmVa2GLifpWysg3VdjX1+tA52fx+kk5jhHKqpblpX3ET7tGRPzYDeR52YUbcWCj0j08cKQ5Uik8lN/Fjl34fqW31SUarkyIrKuqwaJ7IcCNUICvPiiCk5gRKNFcJJtiJHCfd7mHMCUSkjq3JaJZHoohLNE65fWXzrf9I9H+XypNBQt2ZkDH4K6yVduWiy3Tm5BrZNKdh5gDr1WsKHr4b+rSPlfcpzGV9+Gv2cj2Me+Rj0/tEdS7R273PkZnILGhGZKAWJDz49sn4TdcarXO+SO2yysPKKDCmlNKYwgH3iZkxURml0bMRRJyV6VfHbvgxFY/En+IAdqmTFGk/jAd2zWLpXIq4Udb6ir2iwFvbli9T6o29EJ7SiL7D0VNMVWBAWKNIz8jCiUkxIepAJLNnAsD8T8o6fdHHzI/0MFix7h8IFIUiVKBqLsfC/r1vGbY8O8s6fdhEaSzYYly4wirgXiVG+omBgsGDoyS2kNRtN6dwjiMQ2T0HKB1Asq/HZPlAkH12h+ro6Yao7YyiYcnLCuC/YmIZcCPnQ8HRfsarSPGMt1z7Qx2DBsqJ2JAwyFVOs8BW7h0KufaCPs9aI9Vdw7qCxHep0WyPh3m4IjQsANwbbPTDxApRyAkahohQs5jt3Tal0bSZ290JAuGMfak07qrkenS9S+/7zyX7jhwTPdKDqUi4kPRFDN9VhAbO7i9iGtaQvegXpi15xwIJE7qe/caJUrgCJqNNVJEoBUAwJd+5362ttdcLPbJVbT+W00hqViEVuqxiqNoWKx1x5ZSQe2XwRSqJVEM5YtBpbcm21hpjnXi+ddOJVzMd6ChXaEcEqKhMslwtWta4Tj0UlYk4QnMYVN9E+7a9fPSOB8kin7CAZeAqCAaZ1KC1IKj98JUeXopwHFG8E7IQiy5yN6BA7YiqdQGVMZcc53PHZRJ9NL+XmDTIQFkeJNBMFd49lrPhGrptwy7Uuv2uS0kDy3XinXus6zlUj2BUG3ThjtW6cpghD2zEPfhAaT0St/Rvso58FFYdY2nU5rHztSGSyQzswd73RCXdhwXXzK/Rh0ytR8ZGsnonEpmrDyicsowzz2L7H3PRTrxVxagaM/dwE1k7aOXw2afI9MmHI8By8lgeE1tIfuJJEDeSNJRsaUt7IZyBvXJ5Uc1wu7YXDlxnvvaeeeuqE3T+UUsTjcdasWcO5557La17zmlkZoOCoFBPq44odAwGhBT9ywxcMPLKvWC7/WkgYC491Ffj7/+3k/z0+TH9+8iN3IhKjUr4iHzoxqjt7eJzsWgv50KIUNCc0CV+xe8jQnISauKI97bN3OMBYJ1rB9NekNTFFW0yxc9CURakoQYOYdmaNonU/b364n+9tHWbrNKV5D+0r8ERPkZbk+E4+Simak5oneoozLg0UFh/5Ox+k9+JPYQcz6Jb6cola8ffbIDToY5Y7UWMo6+48mwk+q6Xw8ZIopZUTpUplfTMl7kHgcoW8lW2oeIzEn58ExYCBD30F2zdYdjKF+3qdQNXaMKpUb2z4dTXuGWsMAx+4GfIFt064rC079vvQRh/IQpV3TQ+FQcQYV+6WzY9/uUisIu6jUgkXHB733ftZEq1yBWy+4MTFIJz4fZ7gNckbbL44/jWVcqJVLAaJGCpV48LhS2H2QYgNXHmgc1oF7udU5YKe28+8ZS2opjrCJ3Zg9/eC1njHLKf+6r8jcfbmyffpLdvovfhTNN30HhGnqkAlmp0QVeyZfuaFil/nxIvcfih7zKM8oGQbBENTiiyLAZVoHglkL4lMuhQAH4WBKhWVX1aIRWEOiv1YLzbjPKxK8c3svWu8MFZJ5F6i0IdadtaU57flssRgGBJNkNkdlZhGJXWmCP2PYx+7CVLtzo3lNU/oaCLVjnnspmhZja7EMJ+A7F4Y2oFNt7vXmGS9qynNnKiMEhhxi2X2Em65FmvejU62Sp7UFGxuTBPTisBYYthySepci1Ie0Bj36C3MjSHAI7rOw30UA9wNamstQYV72FrXee/EuhQb6qUxmXD4MmNh6pJLLuGLX/wiZ5xxBhs2uNrrLVu28Itf/II3vvGN7Nq1i6uuuoowDHnta1876wM+UimJCc0Jxa4hl88UU5S/yGLakqs4X6+2I/dcU7om/cJDk7gpgKSnqIsrUjFFLnBiVNdhIkZVElh3J2Ntk88XXtzGn3qL3PzwAHuG3BsT9xRnrE7xmvU1FELLP97ZTTFazZLYNHathwPL6oYYxhbZNeTe0Jh2r0MkSnkaGhKaLZ1F6hMh7TXelKV5XZmQQmhJpCY+wUn6it7czEoDhcWHNYbBa29zF/ArWkdCZ0vh3eA6pZVcQ4no66QYjLTktNaJCZWUDkzFcOYHqVI3Od/DZnMEe7qIHbOCwq/+yNAX/wOVjLuSvpI7K1fAWkvNxa+cVGyo1j2T+fIPXIc9Y52jIAixSo+ozJVU4zaaCaWz0tLd0dlcfsmtNFGeVTyGikcuq7q0E7BivjsIhRY7nMVmC9hcPsoOs+7fdOV61rqywkIAw9nxr1sqEYw74UrXpVw4e7T+pbJAWwwgDN17Hglgpruf2je/jMyt/1vOAAv3dDH0yW8DMPTJb4/bp0kl0CtaMbu7GLz2NuJnbZKyvmmwjSeOuGgOV5SGZIsTZor9LjfIS+G+XPvnPHR8QdD0bFT9OmzfY9iSc8hLuQ54YdYdFPyUK3cjOv6bAjSeWFV53XRMKIxVMkVp4DhKZYnxBic62RBUbMTOrqNOgMUBF5Tu10zqaAKcKFUpGCVbsDruMqpyXc6NpTTUrkZveN+49Z62NHOiMsoSwbBbfs8WzP3vxPgpKe+bgpMb0hxfm+TRgSxFCz529kroJyGpFSlP0V3tTagDwEC5ckEBMZzYZoDAGIzV5I0TpWp9zWVrl0ilg3BYM2Nh6sEHH+Rd73oXb3jDG0ZN/853vsMvf/lLPve5z7F+/Xq++c1vijA1i5TEhJSvyAU2ckpV3OWpmNfirpXmQ5jSuGuKICo/m6zxUtJT1Cc0aR+yIQzkDZ1jxChPMWdfLJUB67NFc9JlqwwVQq64q5vOjJkwB0wrhbGWL/5ugMd7iuXnTzSewLiSzVTMRxNdeEX/lIWUr1ia9tiXCTHWjSEVcyc9k5XmtaY94p4iH1hSsfFfYLnAua1a094sbyHhcKL40FaCJ3Y4V0nlsSYIo4sVz5W0Afgj7jsbi7k708mYy2GaSESJ+U61zhVnHHwORKHbBoayBM/spf/yG8EY9Jp2vLo0ZPJunL7G9AyS/9Gvqf2H140TG6p1z+TvfJCBj94ykpFV2h7GTPzBrcZRNBkT2SgjUUotbcb2DLiykrnGWlfaly+MHk4yBok4SilUQw3+CWswvYOoaFvYxhq8ujTFrTuhb8iVCFbrsiq9bkl4yrr8slGn/Z4Gz3NZWokYqiaJqkmiPc8JhskEw7f9xLmnnn00yvewwzmCZzrou+Sz2GwOvWT8haBSCt1cR/DEDooPbR3nqhNGY7d92wVQLyRijVGodi4KTh9L6T237vdYLeS70Se+A7vrh5GzZSD6cm1Hr32jExYWMZOWncUbIJsBlPsdiw1yZeHGO/mDs5OHNZEwFlFNaWAlI2WJtiIjq+JzrlR0LE1P8L6PiGtq5V9g/vi5CQUjFa/Dhm3OZVfKRMt0YB/7AgY1TjSaqjRzwjJKwBaHYHiX24ctEKsHLz6qvE+6841GK8VVxy/n7Y9sp6sQEDK3GbsNviYwlt7i7L9KPLrpXPreLZXvAfhKEVqXOZs1kCsExJTixLoUl61dwhktdRMvVBAOE2YsTN1777384z/+47jpz3/+8/nEJz4BwJlnnsmnP/3pgx+dUKYkJmSLttwytJKxIlS1nbhnAy/K/w2ia7SJrj8UkI5BU9IjoRXDgWWwYNifmfiiVOEcRkVjJ10XhXtdy8xEuLkIhfcUNKc8FJan+gK6swXWNfm0pHzygWXPUMinf9PHcc0xzj4qjVaKC0+q48q7e5gs7rUUlB4YZ1AoiY3tNT5JX+FrSPsqyhqzLmzdG3+xNbY0b9PSOOubY2zpLLDCV+NOBHtyhg1tcTYtjc/yVhIOJ0xXv3MQJepHTVe+Vw4Xd2HjjD75txZ8jbd6KVhLuKe77JAhDF3JWEnEivtOvKoWC2RHRBnd1ohqqCHctgesxezYh1q91AWjl8ar1IRiw2SOsLHumdgZG918+UI5k6mcvzKRNfVgM6Mme65W2L1dhywbelJCA8M5rKfxljS5bnfJOHY4i+kfov7dryX9lr+k55XvJ/jDU07EisZswtCVE2bzI10DgxnebQ4NhCbK0so6oY7omK6UEzxTCfTSZnQQQn0aVZfGa6zF7O1G+Rp9VLvLqwmdYKZC64TMdAKbL2J6Jnf4CmA67sX84fqFlykVZqD+OBjaEYlmleOrFKVwThftQVBA1a5Gn/UtzJ9uw2z7FmT3QXYf5o+fw+764aJ3qUxWdkbjs9wM+W7I7p/YFTVGdLGlsPAqBZOZ5DFNx4j7KjtyjK6kNM1PQnGw/L6PHa/tuGfS8kJbHIJ8lxON/FpINh1wJtREbjFrrdvWNsR1s7TgxV1HxCgMPnz46hG3mimChKUDcEZLHV/YuIbr/7SPPw7lGCgGTJEcckAooCXuMxCEFObg7n+9VrQkY+zIFIh6kmKidACDy5ryFNT4HpevXcramgTNcZ8N9ZIJKywOZixMNTQ08POf/5wLL7xw1PSf//znNDQ0AJDJZKipqZmVAQqOkpjwYEe+fN1TOgSF1jIHov2UxLR7/YJxrqbJnE0pX7GqzmNFrWZrb0g+MOzLWQI79fWVxTl3KucZu96WA3NUlZ6igGU1mt68IVtlRcJE15wlgcxTtly2Zy1YFFqpSZ1L5xyd5jO/6WMwbyiaqAqGEVFOYUvX+KRjipjngs5rY1ATHzlJC0KDsZD23XxjGVuap5Xiiuc1cvGPOtk9FNKc1CQjJ15PzlAfd4/Ll9yRjW5tcKVU+SKkRk7QVTqJSsSxmdyIQBWd8FuAIHRZRTUpbCaHbqxFN9QQ/HE7xL3Rd6A9PRIUPtOTvNoU3oo2zMCw+zvmQxBiOnpc2Vm5/CKO7R3EdPWPevpkjjAY7Z7Jfuenbr6lTZhi4NY7LJWrTfAZ0frASu2mErS0Gl8SOV8UQ6hN4S9vRdW58mClFGiNTsSJP+d4tO+TOGMj+R/9KioJ9N2FZVQWqOtrXJlgJCTZIMRm8i7LKleAUgC7jWqVLdU5rkqlo8UMZiAzIkt4GuIxt43zRVTPALqlwTmtkglszHOZVwr08lZUTQozOOycWb4HUbdBoSLHJ8zj7uMvkP0SXInZ4DaI1UE4DLEmKPRGD1Z886soQ8macpmY3Xcf5vEvH7Eh1JOVnQFVC02m494RcWsGgkk1eUxVUXJf9Wxh/BkjTuzxkm5a9L5P6GiapLywLBqZ0O1DsbR7foVoZB77PGrpadW5lyZyi1V2RLQh6GS5jFIp5UoJ+/7o9vFk2xG3n07HGS11nN5cy9d3dHHlH3fP6rJjStEU8+gqBHPmxhoylkKu6PRTG+VJReV7CkVSaxpjHhY4tamGkxuke7awuJixMPX2t7+dq666igceeKCcMfX73/+ee+65h6uuugqA++67j1NPPXVWB7qYqaaTWklMuOh/9zNUgKJxuVLGOnFornFiSWR8MEwqhClcCVlDXEeZUZalNR57hg0dw6ETcLzqMo8rBaTKvye5HKyaWHQdvLpe05SKURM3bO8vlh1fY9dnOoeVipaJta7M0sWvjHJ6TeZc2rgkwZbOAk0JRWBh71BIPrTo6Iso5SvSvsJaSHgai+tMqJQaJSZpoCXlT7hlJirNO/uoNDe9uI1rH+jjiZ4ivTlD3FNsaIuPC0sXjkxim47DX7+a4pZtox1FgG5vJnxqT7Tz+y4vyMMJMp7GW9aCtRbTM0hsw1riLzyFwQ/d7MKsY2okfyoIwffQK9uwe3uw2dzk4swY4cZb1uImVzq4fO2EjUweatzJPLkCxHzCzl5yP/pVOdx8MkdYCWsMZjBD4f5HMfkCXku9W+8d+0aEtDFliGp5KzoRc535jK1OTCmt11S63EIIDNSq7BjzVrahIuHRBiF4Gts7RGzDWvyN6yg8+Lgrsauvcc6mQoAN8i7HqvTegxODatIorVyWVFOtmxZaiMewqTg1b/g/qPYmMl/6T4q/fQIyuZmPPTQQlQUC2I4ewo4otNuLBLNYDFsM8FYtIdy5z5VONteVBSnlRQKVH5Wheh4q5rmfpUysI0HML+XiJNtcxtRCK+czBcj3AioqeR1buB8JUl4agiyq6URs44mYu8+fPIR6poLDYcqkZWdVdAk82O5y0+YxVTl+fcIlhL9+n8toMkE5tN3lTWm33xb7py4PbHo21K2F3t87B5f2Xe5WmI0EWZxYFAlG7rVdKLwd+BP0PgrNG6ofb6VbzBTd/mmNc/SllozOdyz0ucdijaiSaHaE7afTcW/PEJ98cm9Vna+rpdbTxDXsL8xtrp4BchXf9zVasTwVJ7QWXymSWtGRDyTkXFi0zFiYeu1rX8vatWv51re+xU9+8hMAjj76aL75zW9yyimnAPDmN795dke5iLnzmUxZHJisk1pJuCoa+MfnNnHzw/1s6SySD+e2qsNTENMKg6UQQn6SG6OuTE/RkHDd9IaLlsGioWPYOZ4aEhqt3OmhtZD2NbkZ1BqWhKjK69KDWW+tXFD5vozF04b6hGZNQ4yO4YBs0bm5yvMC6bgi4Sm6s2bC1zW4Blw7Bg2hdc/RRI27KpjKudSbtzQnNctqPLYPBORcPA5LazyykfjUmtZcfHIjP3o6O0pMOmVpnN68YddgiLW26tK8s49Kc9aa1LSiqHBkorSm7orz6L34U5jdXejmOkjGXaD4QAbd3oLX3ky4cz+mu9+pzckE3vIW8DRmdxeqPu264TXUMHz9dzFDWQiCsjddpRJOYPI0gTGQTIwSEEZR+eHTyglSVDi4snmIeWCNE0syOUwxwOzvRfkeg1d+GVsMyuHmyVefMaEjzA5mCPd2u+UZS/bf7sQO5TDJOF5rI7a1AdPRw7ijUEMNKjTl8rBpxaRUAt1c57re7e+b8ftzyFEK1dKI3d9DuKuT0FgoFkcEukQc75jl9Lz0PQRP7MDkC9hMHkyIbm8BYzD7+1w5Z2nThAbbP+h0qkQM1T+ENe6CzD9+FQxmyf3vA5j+YWyhiL/hGOgfwuaKrhQwX8SUugViiD3nBIqPbHPfFWHonFfTvQ+hgWwBG5WIhlt30vv6q9wq16XxVi/FO6q9/NNf0463pt2JVkqXS1mV5+EftWxONv1CYlQuTmoJDA4z//WlFSh/JJTd5Bg/tujcw1qI1bkysb4/lkOoCXPYkqARuVhmKjgcbsy0/G6i50/ZXa5KwWSqPKZq0e2nw3M/4crd+v7ohErluTD3RKMTUqcpD7T77nMCUHHQubeU5/Z3Lwk2cPtYhWBUJuogaPM9Va/DOLdYkI2WFYf0MlSsdmTmkjCmPPBio5ZzJOyn1WCs5fo/7ZvV7KeWmEfeGHrmusXfRCiFAmo8F3LekQ8k5FxY1MxYmALYvHkzmzdLO+WD5c5nMlz8o04GC5aWpJ6wkxowTrg6rjnGJZtT/OipLFt7iyhmLyQ84YGnFIF1YlQ4yYJLYlRjwpWBZQLLQMGwd8iOOw3szISsafDLpWj1cUVfbmY5T5XL9FVUSTPDdSuhlVvPTNGyY6DI6voY9QlNXTxGpmjYOxzSlPDIh4ZCCEtqNElfk/YNe4YDQjPazRXTpe7wzsFWtFATV+PK6qpxLhVCS1NSExgnTA0VLHGPUU6mf3hu4zgx6a7t2QMqzdNKsbl9kjbNwhFP4uzNNN30npGudb2DqHiM2Ia11F1xHvGzNlF8aCv5n/6W7Pfvwezpwg5loWKexNmbscYQ27iO4pZtqKZaCA3K91DpJNZawu0dYEG3N2F27h8phVOqwlFkRzKecCHspT3aW9ZCsL0jEigg3N3phLJIBLG+B3Vp9LKWcrh58PRedFsj4a7OsiPMDmbcckq5RzVJ9JImwsHdmF2druSsq79cngaMuL5qU6h0kvDpvWMOWJGFsuQuK4boJY14K9zxPdi6c+G0Ua1ERf/ZKOBCa3QyhqlLO9GuGJanE3chw5mv/jck43htjXjLWjBKYfb3YnZ3ole24a1ZSri7a4z4qFyJp6edIyAwqFQMUNjhLIWf/Daql9Yur6o26YLPPYWqr8FPNqKPW0Xt370C/6Rj6H/H9QSPbUc11mKLAaa7D9vZPyJSaeXK+qoQrexghuAPTxP84enxm6c2hbdmKV4kVPnrV1N70StRqcV9PB2Vi6M8Dj5UbTapvIVlnSvKEoWhV6Y5KvBi6Od8HN1+OmbvXa4DWr4fbKEiQy6BTS1x3fpmKDgcLhxo+d0opuguNx+CiW4/HfXiO0ZnhgFgpy0PHOX8Si1z7juTd/tHmI1EqaWjBaMSM+kgOHa8kVvM5Lowj34Ghna5roGjBhdE5YjpUW6tMgcgjC02tgxk+eNQblZK7TwFbXGf3mJI/hB+P1dWiWhgODT0BVZCzoUjgqqEqaGhIWpra8u/T0VpPmFqjLVc+0AfgwXLitqR3JXKPKL33tVNXy5kqEgkXCn6cpYH9+Z5orvAxZvq+OyvB4h7sG/YlPOJZnL4VEDKB60VhcBGrqjJxaiamKIxqUl4imwkRu2ZQIyqpDtraEyYcinacNEQ9yF3AI5YBXhaEcOSC0cLRNWudxDCsjqfjqGAQgi7hwJqYj75EHrzliVpjy+NEQV7cyFxT3HmqiR7hkJ2DgTkAnexqZVy9eDKtac1wNKUprKsbqbOpY1LYjyyvzihk2kiMUlK84S5InH25rIAZbr6y6VwpRKn+ObjiW8+ntr3/M2k81S6r2zvUNl9ZTM5TM8gKhEHY1GNtbC/b6Rca+zZtTFOoCDKHoooOVvCp/e6D3gu7+bTUd2utYQdPfiJOKouXQ43p6EGalNlR1iwp8s9XylXktjejE4nYU074bbd2D1dbpmxClEq5uOtXoodyDjnWF0a3eK6+5neQefI8lzpn6pJ4h21DLO7K8orybtQdc8bcXksFGz0n4pKLxMx54DSGupr8FrqnYjke5ggwDy91wmKQ1nCXAF22JHwYWMxuzpRjbV4rQ1Qk8J09kGhGGWVaeeUClwpqG5vxg5mnDPNWrd9Yh4Ui9jOHFYpVEMtVhdgEBpu+QDJ554IQO173sDAh76CzRaceFQsYuMxbBS+r+rSmKEcVitqXvciwt2dFO7d4gLPi6ETMIydNifMDmUJ/vAMwR+eKU/Lff8e2u66cU7ejgVDRS4OXg1z2/tqpiiwRVeyZUPXpS/ZDGEuuqgPRrJ7bIBONAJgh3Y4d4zFOaV0JMiGOdcdLdl2QILDQudgy+9KTNZdrsw8CCZKabxjL0CvO69qN9hEzi+baHL7QViEYp+bMcxN6E6fSQfBicZL8wY8QOn45GHwSkOiaeKy4QMUxhYTPYWAfBgetFSe0oqGmEdnIZiz7uCVKNwFeeleHBYCBTEFHzxuGa1xX0LOhSOCqoSpU089lXvvvZeWlhae85znTHhALB2kH3vssVkf5GLkoX0Fnugp0pLUE95hak4q/tBZJB1THNXgM1Sw7Ox1YkhooC8P19zfT8qDpO+htam6G7evnAAGzsWTCWA6Maop6TmXUWDpzxuGi7bqG/wWeGYg4KgGn7+PStEe3pdzws4MsUA+dF0pfD2SdTWTJRkg4SmOaoixa7BIPrDsHAipietxQs5YwchYy199fx+r630CA3uHA/KB2xYaSHpuTD15S8w3B+VcmqmTSUrzhLlCaT2qo92BzDOV+yr56jMYuuY2VCFAL2/BRF32XNe/CtlZa1dOGBps75DLK6ooLyTmRx3ZmlwQ+q5O9xxPQxAS7u3Gj4LRdXMdprOP+vefT/b2uyn+fpvLpopKDHV7swvpBnR9DXZJU1TChxOkKkoRVV0aE4SYHX14q5eiG9wNGt3WCJm8Ky0MAmxoqPm7lzP06X9zwljCdwLIofqMHoi5xVpQ2rmU4j7KWrzWhrIzyA5mMNv3jRZySo4zhXMnlUQnram94jxipx5P4c7fkfnmjwgee8Y53bSCVAKvvRlVlyZ8cpdzvIHbPvlKh5Mtd+NDKwbedh3qU5eQOHszydM3oj50IQPX3kbhgT+ilEWlEqj6GrwVbS73yhrMvj4Kv3mMsGcQYj7+upVu0wznCHsGUKkEtW96KdSlCbd3EO7YR/hMB+H2DuxgZsJNFWzdOcONe/gxKhcn1zXfwxmN0lH2T8I5XfwoUNofncVirYHsfieoWIPZeQegQZVu70VirNIupyq3H5Y874AEh4XKbJXfARN2lxvFPAomMyoPnMD5Vd5//BTWi0G+B3T8oDsITsWkXRKbTnKvk+2YdWFssdAc99Hq4JoyNPoeMQUd+bm5WaQZiRSByEytXLVKCYN18SdK0Rr3Obtt4ixMQVhsVCVMfeMb3yh33Lv11lvndEBHCl2ZkEJoSaQm6W5ioWAsS2KaoYJl+4AL57Z2JCd3uGjJFCEbBKR8xWBhcudS0nNijMWJS4OFya9OtHJlek1Jj4SGXOicUYMFc8DVJgq4/LmN/P2mBv7huY082JHnH37axS93T5InUwVHNfjsGgzKHfWqveYykdmiJqZZH4+xYyDkH05t5CXHpMcJOWMFox89lSm/bymlqEvEyBRtufQu6cP2fle62J01h9y5dDiV5lUT+i8sLiZzXwHkbr+nHLTO8hbMnu6y2wlwQlBdGt3aQM3FryT/o1+PEri8o9rh6b3o1gZsMSDc1zsikASAUthsHpvJodLJcrc+7+hltPzvpxn+wu30f+gr6IYa8H2U540++U8nXN5DUx06lUDVpFA1I+UUNnJZWD2yDyuloCbpjk3GYPd24x+9nMYvXs7AB292QkblOs4lpXK4A+mAaC3+MctJ/fULGbr+u5AYyTcJ93ZP7i6yuJLKRMyVVOYKDHzoK6h0AjswHGVQRd9o2hvZDlGHvvK4p+qWYSzBk7vovfhTNN30HhJnbyZx9mbq69L0vOJ9EI+ha5KubHQw4/7lCoRd/ajQOLEtnXDVXS0NqNVL8AoB4e4u8r/bSuNn3zHqy8Vai+0bcmLV9n0E2yOxKpun7n3nzWy7HqaULpzD314Jg4PzPRyHikHtahdSndnlhJJIILAl91MpO8raEaGk91HXyS+1BHKdznFFqZFI6U036JUvXVyB0rNZfjdRd7mIw0kwqcr5pTz0sX+L3f/Lg+sgOA2ThcHbffdN7qaaJWHscMRYy5aBLF35Iq1xj75gemFq7DWDApbGfbLG0jlHXXB9YFUqhgc8lS1iomnemM9MaCGuFSmtaI5XdakuCIuCqvb25z73uRP+Lhw4rWmPuKfIB7bsXqokW3Q/UzHFnqGAwEycI+WEJkj7dtRB1mVAQdzThMYyXLTkpvCjagVpX9Gc8kh4ilxoGcwb9hTMQdtYNa67XHfW8GBHnt5cyCfu7+U3ew9clIqiSFhZ5/NUX1COcJnpUHOBE6hecky6KkFn/Ps2OksqUzTUxjU3vaQNrZSILpNQTei/sDiZzFk1UdC62d3lnDJKoVvriW08tpxbVfsPrxslcIX7e+l78zWYQtHlVI09MTUWTIgZyOClk5AroOIxdGuDKzn0PcgWXEA7YJRCJePodneXvySU2Z4BQt9DJeJltxSAitxdajLRJ3q94Ok95G6/h3BPF+U2paXysblmhqKUam1ANdRge4egsRa1tBmbL2L2dKObXMaFzReijKxJFmJsOfuLbB47nMMOZUamlQhDyOZd18O6dNmVVi4pnGq1hrOY7n4Grvkm9XUpbM8gwZM7sdbitdSXS0qBkRyxYoA11pUIep4T15JxYutWoprq8JrrsL0D2IFh/HWrsIWCKwcsFFEtDejmemInHzuyreKxIyL8vIRuPx2z7nzsQ1fN91Acpbyr3D5Xwlezyl28m8AJTmEeMGUHIJFQYjvucWJEaqm7yM/ud5lCpZwpPwkqhqpdPc8rOLvMZvndhN3lZiCYHGz4+mxRrfNLLzsDTnz7nI95IreXmsRNNdvC2OHEPd2D3LBtP08O5ygaS6GK8pGx1wsxpVia8OkphmSmKeM+UFIK2pMxYlrTVwxZEvfoKRqK1qLtyDVcaN1N5rhWHFcr3feEI4uqZdienh6y2SwrVqwoT3vyySf52te+RiaT4ZxzzuHlL3/5nAxyMbJpaZz1zTG2dBZY4atxd5iGi4aYhnxgyQWTl81FaSuAC+FO+oqYpyiGTowanqIzhVZRmV5Ck/A1+dAyWHBi1Aya5k2Lwbm7PvvrPv7lty5XyxhL4SBewwA7BwOSnhO9YhrinqI/b8hNcaND4dY7NFPnPk3GdO9baXmb2xMiRE1CNaH/Ik4decTP2kTd5a9n+Ms/INzrMph0WyPe8lZS555B4pznjMutqhS4Cg8+DjEfs7fbiRqVJ5cVx0/bN4hd2oTpGSS2YS2xTceRv/NBhj79b04gstaFeVuLzeYJn9nrnlgMo9wqVXZfBds78Ne0Q20Km8mjGmoxwzlUU924Y4PpGUSvaGXwY9/EDmXQTXWoVUugd5BwV+ecblvAjV0pMNXfCbaljKxUguI9j9B/9yOuJBEw+3pc6WQQTH9HYOyJfkmUUmrEJVUKuC8UoavfTTNU5yYzFjswTOHuh+l5xRUj4+8bLndTLA+l5PAq5XpphdIKqz3I5gn+tAv/uFVYYzB7uzHdA+jnjGRn2miMthhEQlWALRQWXnj9IcDmDsF+Wy2mAMU+VOOJ6BMuASB84DIY2sGIz3zEAUX/45jHv4xeelpZjFCxWqxf40KuTRi5+IAws+hye2a7/G6y8rNqwsYPOny9SqYVwGbg/JqNDoIHymRuqiPRKXVP9yCXP7qTwcDQFPNIxBT9xYC+SS5iKlojlKn1NI0xj335gOIsupcV4AH1MU1LPMZwEDJsLDFryiHmWwYyXLu1g7yxrt8CzikVj5xS0n1PONKoWpi6+uqrWbJkCVdc4U76uru7eeMb38iSJUtYtWoV73//+wnDkFe96lVzNdZFhVYub2iyTmpNKc1RDc4NFJjJz/vjviLtgx+Flw8ULWa6Mj1f0ZzSJDxNwVgG8oY9w8VZFaPGEtOwsk7zRE8wpXA0U4aL4GvLP53ezNlr0ty/K8fV9/WglKU/bymGozv4eVGwYGAsu4emzn2aiOnet5ku70ijmtD/ax/o46w1EvB4OGKNmTQAfSrydz44kj1VcHZRf0Ub6b97OTUXvbKqZcQ2HYe3vNXlSk1xcmlzBcLtHejmeuqucKVXg9fehh3M4K1pd46douu0h+9BqaQs5qGXNrvQ7jCq3S2GBLs60XVpVH2a2otfyfCX/nOU64tcAdMziPU04ZO7sMM50IpwOIfq6kc1RU6kfT1TB27HPDeuA8VYd0E+E5TrjEcpU0nh1rv0ZTFViV0Vy3ZxPmqkRt2LyvnCEBJxJ4pVS2jcv3hsJHy+Z8DtD/EYXn0NNpOLwuZ1FHJfMRzA+h42X3CB7FB21I0etnLdAROjb2bYakMeFwnWGth713wPYwQviX7Wu9DH/i1KaTe+ZFtUnlf53mjnrjIBZssnMc96l3NLDe0cESN8d2PENSjoOCzK0GbMHJTfzVQwma3w9WowHfcSPnYj9D3uREwdh8bj8U64tPwaB+v8OpTMpzC2UDDWcsO2/QwGhva4R87CUGgmTZfyGJ881Rr3iGvNnlxx1ts4KOBZ9SmuOn45pzfXsmUgS08hGBVifkZLHc+uS/HxrR08k8ljcMHrx9VK9z3hyKRqYerhhx/m2muvLf/9H//xHzQ0NPAf//Ef+L7PV7/6Vb797W+LMDUDpuukBvC3/72P3oqKt1L+U9p3X0eZoqU3Z5mqL14pwLw56ZxRReOcUR3DRQpzU0Y9juaUR0+OWRWlFFAbV/ha8ZOns1z+3EY2LY3zgz8Ns6WzwPHNmmzorqHyoaEvaxgObHRdZQ8490k64B0404f+a57oKfLQvsJhk5UlOMaKSyoew1+/ulx6N9Xzei/+FHYwg26pRyWcqBDu7mLo0/9G7LjVUz6/hNKa5CtfQPFXf4wmRPvXWJEqNHirl9J43aUkzt5M4cHHCZ7Y4V47lUCtaSfc2+0EjJJQpMBb1opua0SlEpiOnpEMpHwB76RjaPj4xS5Da9Nx4wLevZVthDv2YYazTuzynLhTyjwqO7F8D93egi06R44yFpvJodtb0Mk4wZ92U3WXi7EcyJ1gxWgnUKnOYDYolUpVUgzctimLVTN/LaWVEzJTCSc0PrUHs70DdcxybDEYCZv3PecYKQZYHWWJKeU6CBYDGMyWHXXVve78X6weUnofdWVzCwXtoVs3j4gGvY+6cHYVB5t3YpQqdcuNnJEmD49+GmL1EGZgaAc2tWTBihGzyVyJMNUKJrMZvj4dpuNe557LV+QWKgX7HyDsfxKed0NZnDpQ55dw6NkykOXJ4RwJrXg6WyRv3LXQRObVsXHoGliejJE1hj25GdwAqRJfwZtWt/LxE1aUb7Ke3DDxtcFZrfWc0VI3oXAlCEcaVQtTXV1do8r4HnjgAf7P//k/+L5bxNlnn82Xv/zl2R/hIme6TmrvP62Zd/20i5qYJhUDYxRDRUNnxkxZPeEyppwzKulpQusCz/dngwPqhncwKKA+rniqb/Y6XCyr0TQkPdK+IhvYUWJGydG0Z9jQnNTUxRWxwJWLNSY1l5zSwDlHjw86nwnSAe/AmC70P+krenOGrswhUkyFWWEycam4ZduoUOqxWGPKbiW9onXk4iSVQK9oxezuYvDa24iftWnSC/9Kl5YNggoXTOTCUbj//JEsp5p3vbY8HtPV74S0hOt6o+rS+HVpbCaH6R/GdHQ74SjuAr91fY3LlcrkMcUitm+Iug+/qby8sQHvqrmOgSu/jN22210MeV7Upa5yH7fuNYohNpOj5qJXED9jI+G23Qx+7FZ0Sz12KHtoQtIrmcihNRdjqFxkKQcrCEe7s6rEBCEqCq3X9TWwso1wXy+2b2jE4ZWI4S1vBSg75KyvRyq9egfLjrrpBKcDdQke7riOduAu8RaAWyy1bJS7x+Z7XEmeDUYFoWNDVzI2MifEaqLpedd1TXlVixELJR/pQJhXEWY2w9enwFpD+PDVLjsM5cLvo0YVmACynYQPX4168R3l9+1gSuUO5/3hcKOnEDAchGRCSxhlNI29yigdnSqPUAmtaI/ypAbnoFSk0dPUxDxev6J5RtUYkwlXgnAkUbUwVVtby2BF95UtW7bwV3/1V+W/lVIUCoXZHd0RwlSd1NrTmqVpj56coS8/9QWBwuUtNac0KV9jrGWoaOnOBmSK85d/kfSd5fZgMqUqSXhQG/eoieny8ivFjMkcTRuXJGbV0XQ4dcBbKEwX+p8LXBB6a9qbh9EJB8LBiEvFh7aOuJUmuDjRzXUET+yg+NDWCQPTx5UAlh1O2pW+uQW5DCFroWjB13htjeVl6NYGVDxWzlIqv3466U5q9/e6v/2RfbLUbU9nwNak8JY0jR57Rf5V4cHHCbfuRDfVEWZy7oKoGEadwdSIEBPlLtneAYau/y7x3z5O+jVnlccW7u469MLUXFPKlaqkdLu75GoKZnZeYTt6CPuH0e3NTkRsrkfni9R94AK8tSsZ/MjXCJ7ei6pLu/dx9dIRB1wYQjxGbNNx1L///GmdegfqElwMuOwhy4IQpQCW/vkoAUAlmiMxyuCKeCJMwIhiXdrXfNfRL9MBtSvRz343Otk6rahwKPOR5or5yiuazfD1KV+nZwv0b8XZXivKb1X0d1iA/q3Yni2olpMrHp55qdxi2B8OJxpjHlljCayd8CjkKxh7H77B92iMaTryAfk5yAWMK4hpxbE1SQktF4QDoGphauPGjdx6661cffXV/PjHP2Z4eJjnPe955cefeeYZ2tvb52SQADfddBM//vGPeeqpp0gmk2zatIl//Md/5JhjjinPc/755/PrX/961PNe97rX8dGPfrT89549e7jqqqv41a9+RTqd5lWvehWXX3552fkF8Ktf/Yprr72WJ598kmXLlvG2t72NV7/61XO2bsZaHtpXoDcb0lbjUR9TfG/rMN98dIjfdxamzZVN+4qmpCId87DAcNGwZyhgeB7FqEqCEPZnZn7y6qmJq0YCAzsGiqyuj1Gf0BOKGeJoWphUGx5fbRi9MP8cjLg01q00jmQc2zuIKYVhVzCRS8v2DbngbGOgCMQ9UFH+T+BKuHRj3SghKbbpOPz1qylu2TZaWAMnVEXXr6ZYRA8D6YS7ox8Fmk9X7lVaR72sBdXV7/KLrKkoNazcYDhHVSGg8JvHKD61B7+tkeDJnRDlHi0qphLagnB8Z8XpUAp87ULrd+yD1UtRvoeKx4g//9nENx+PTsRGdX9UtSknoO7vQyXj1H/oQtIXvWJa19OBugQXC7bxRAgX0D656w7MypeMCABNz4baNdD9CKhIiLKG0aKUAjRol3doE42Q3YdOtqKmcekcynykuWY+8opmO3wdJnYr2e6HnEikJrncUR6YopuvQpiaKYtpfzhcKFWaVytKtSd8fKXYlSvOWkV6JRpIe5q6mCeh5YJwgFQtTF122WVceOGFbNiwgTAMufjii2loGAkF/Z//+R9OPfXUORkkwK9//Wve+MY3ctJJJxGGIZ/5zGd4y1vewv/8z/+QTo84YF772tfyzne+s/x3KjXyhVcad2trK9/5znfYv38/73vf+4jFYrz73e8GYOfOnVx88cW8/vWv57rrruP+++/ngx/8IG1tbbzgBS+Y9fW685kMn/1NPx3DAfszIT1Zw1AVglLKh8aEpjbuxKhM0dAxHDBUmCptan4oWqZ1e41FMVqUqmztGkY3aTuGA2pj/qRihjiaFh4SHr/4OBhxaTK3UplcYcIA6slcWqq5nrCzD4azpS4H7glKQSqB8j1iG9eNEpKU1tRdcd4osaIUWh529LgSuyDEPL0XE2UX6aZayAeo+vS05V6V6+gtayF4em+Uc8TEXS1KYsxgBjuUJRjMuMD02UBFL7rQviQOFD8qiyzd+Y77KK2xMQXFkLCjB5VKEK94zxNnb6bppveMywGLb15ftdNpNkpQD3fstm9DMDzfw3AoH8LCqEwipTT6pPdifvEmJ3KoWFTWW7nzaycgeNF5YpUunUOZj7RomeXw9cncStRGN68ne0MnOw7PANkf5ofuQjAuX9dXUSV4xWRPwcpEnJw17JqDPKkSTb7mpIYaCS0XhIOgamHq+OOP54477uB3v/sdbW1tbNy4cdTjL3vZy1i7du2sD7DEV7/61VF/X3vttTz/+c/nD3/4wyhBLJlM0tbWNuEy7r33Xv70pz/x9a9/ndbWVk444QQuu+wyrrvuOi699FLi8Tjf+c53WLlyZbn74Nq1a3nwwQe55ZZbZl2YuvOZDBfesZ/OYUOuCvk+6UFDQlOX8FBANjDsz4QMFswh6VStKMeGzjmVq5Pw3Jd8IRz5CjIWsoFl+0BIS0rPiphRcq6Jw2pukfD4xcWBikswtVtpKkfSVC4tf3lrJP6E6CVNzuEUGkwmj26omVBImkiswFhsruBK+urThN0DrkPfcBaTzRPbuI6GT759WiFj7Dp6y1oId+6f2C1UOcm4pta2s2/K5VeFwpU1edqJYjPtzjfbaDUiJmnl8rtCM32XPz/q2hfzIB9EOVQeKuljiyGEBlsKMdcKhnOoxtpx7/nYHLCZZkMdbAnq4Y61BrPtW/M9jBF0DBIt4zKJvGVnwEnvwfz+U65kq/z5GnFKkVoy8h5W69I5RPlIi5nZDF+fyq1E35ORKyp0Nxkq3y9ro+k+qmXTga+M7A/zQnchGHUDO6EU+THfq2mtaU/4dBdD+mfqwK0ChSsPfMfRbZzVVi+h5YJwkFQtTAE0NzdzzjnnTPjYWWedNRvjqZpS3lWlawvgv/7rv/jBD35AW1sbL3zhC3n7299edk09/PDDHHfccbS2tpbnP/3007nqqqv405/+xIknnsjDDz/M85///FHLPP300/n4xz8+6VgKhcKofK2hoaFpx2+s5doH+tg/HJKf4lgZ95wzqi6u0UqRDy3dWSdGzUFm35TEo/OD/CF6XQXEtLvbARD3FEXjOm5Y3HXNmgaf617YctBixp3PZMpCSSF0pYHrm2MilMwRUmo5PQdyXJkPDlRcgqndSqZncFJH0lQuLVWXxluzlHDHfidcDOcgHiO+cd2UjphKsSLc38vgR74Oz+xFr2hzYkNrowtELwbOZdNUR/ys6S9mJlzHmuRIad5c31VQCmI+GINe0oQdGMYOZ+f+dadAH7sShnOY3V2QjOOtWkK4def0TzQGVZNCr1uB3dOF2d+HXtGG19qAHcyMdFM01n2B+B61l7x6wve8MgdsphyMS3AhcNDHlt5HYaiK9+tQEW8APwnFgXFuJ++Ev4emZ2G2fAKGdriAb2tc+VhqCSpWC8zMpXOo8pEWO7MRvj6tWymz12VJBVmwRdxlT8k5Grgyz4b105ZuTjkG2R+AQ3vOck/3IF94aj8WV0IX02pcZlRzzKMh5tGRD8iEc3Phsq4mwSeftVIcUoIwS8xImFooGGP4+Mc/zimnnMJxx41c7PzlX/4ly5cvZ8mSJTzxxBNcd911PP3009x4442A6yxYKUoB5b87OzunnGdoaIhcLkcymRw3nptuuqn8GtXy0L4CT/QUqYtr8ll3wIx7UB/XpDxFNrTUJzSecmJMX94wkDcU5/FG91hT15K0ZrBgKYR2wnrtA3VYKVzAeRhlA5fwFHieIrSWYujcYze9pI1Tl41/T2bCnc9kuPhHnQwWLC1JTSLlOvht6Sxw8Y86uenFbSJOzQFSajk1B3JcmQ8OVFwqMVlpVWzD2kmFpOlcWirm4y1tou7jF+G1NVXtiCmJFYUHH8fs7Ua3NIwS2lQ6iQfYmE+4dWfVjpix66jiPjZX0SVsLjQihROl4qULMYWuT8PSJoJtuyGTh9oU9A0e2tI+5VwEqjaN8TQUAkzf0MgYpiqt0cqFmmuNaayFzv6y86yym6It5VMFIYlznjPrq3AwLsGFwMEeW0yuC8LMLI7oIFAexOqmdDt57S9AL/1z6H0Us/cezJPfAFMA5blcohm4dKw1kOt2n9tCPzY+3iVzIPlIRyoHHb4+nVsp0QR5C54TLrEVd4KVhngL3skfPKgSu7nIyzocOVTnLPd0D3L5ozvZnw9IakXR2lGilAKWJX18pdmVLVKcg6YhdZ7CU4qrj18uopQgzCKHpTD1kY98hCeffJJvf/vbo6a/7nWvK/++fv162trauPDCC9mxYwerV6+es/FcfPHFvOlNbyr/PTQ0xJlnnjnlc7oyIYXQsrLOY2W9T31cExpDXdwjUzTsHAwZyBsGC5b8XKT0TYLH5H12Kmu2Uz6srPNRCjJFS0/WsC8z2vqlKn7OZA2SPtTEFNkA8qElhh19whEt7Ljm2EELGyXn2mDBsqLWK79OKqZY4St2D4Vc+0AfZ60Re65waDmQ48p8cSDi0tjnz6S0qlqXVvpv/u8BZfzMhSNm7DqGT+9l+N9/TvGuh0a6CR4oClemYq0r17Ogl7W4joKBcdMjAcXs7kK3NeI11BLu6sQ010H34NTLn020dmOqT7sxDWex2fzI41N8WajGOnR9TfSHc4LZ4Sy2dURAVOkkWIvZ3TVtMP2BcjAuwYXAwR5bVL43Kgctdb2bR3QMdAJy+6Z0O5UCvr3mDaiWkw/IpTMqx6g4CPk+yPdiD9B5JTgOJny9KreS8tDr34rp+AX0PwZhEbwYNJyAd+KlBx9KPst5WYcrh+KcxVjLDdv2M1AMafI1O/Ojy799BauScfLWsitbmJOj07KET53vMRwaWhOxOXgFQThyOeyEqY9+9KPcdddd3HbbbdN2ASzlYG3fvp3Vq1fT2trKli1bRs3T1dUFUM6lam1tLU+rnKe2tnZCtxRAPB4nHp9ZF7HWtEfcU+QDS01c4WuIaU1gLF1Zw9P902RtzBHTVWDHtSuvKxh4ui+gvdYj6Svi3uj5DlTC8ZRzjR3VGGNrT5HAWNfhHVsWuAoGkr7i6jOaD1osKjnXWpJ6wrttzUnNEz1FHtpXEHePcEg5kOPKfHKwuT0zKa06WJfWdMyVI2bsOqYvegU9f3MVuX+784DGWaa1EeV72K5+l9OUTrqxKTAdPWBwLq3hXFksBOh+7YcOnSilo4wrcJ3ylEI31WKGczBYnfvGZvKEA8MoT2M6evCOXgZBgNndhUonsFqhjMVm8ge9D0zFXO9/c83BHltsosm5TeY7qwwgVg+5fTPKJDoQl864HKN0HIZ3uQD4oZ3YmhVOJJthPpJwcFTrVtLtL0Cf8LYDd2ZNNYZZzMs6nJnrcxZjLf++p5fHBjJYGCdKpT1Ne9xnIDR0FWbvGkoz0sNzdTJGfVQeeGJdig31E+xzgiAcMIeNMGWt5Z//+Z/5yU9+wje/+U1WrVo17XMee+wxYER0Ovnkk/nSl75Ed3c3LS0tANx3333U1taybt268jz33HPPqOXcd999nHzyybO4NrBpaZy2lOb3nQUsLj+pEFqSvqIxocrCzkJpnlQqy0v4imObfJ7uD1HAUMHQG0WlxKJc3VJD5sqmzNXiKTipLc77nt/E237kyivzoaUYjmRLpXz46AuaOGcWyutKzrVEqvKEwZIpWgIDWrlSxa7M7IcmCsJi42Bye2bKwbq0puJQOWKU1tRe/npyt98zffD3VPQMuOOscfXPKu5j9nZDzMc/+VgSzz0Rf/0qYn/2LOKb16O0xgQBzOLJ+zhKLi7fc2V1MR+CEJVKQDqBtRabK6JqkthcHopVHGNzecyfdrvftcLGY6iGGpf91dXnnGFKoRpqqb34lQe1D0zHXO5/Cx2dbMXE6iE/zxlaynNup/p1VWcSlZ86A5fOxDlGKaxaDZl9EGYhsxsSrTPKRxJmgRm4lQ7GmTUds5GXJUzOPd2D3LBtP08OZekNDIUx5XnNMY+mmE9nIWBgFkLOS7lV1loMIzfbDdCRD6j1NZetXSKVFIIwyxyQMGWMYfv27XR3d7sDfwWVHfJmk4985CP893//N1/4wheoqakpZ0LV1dWRTCbZsWMH//Vf/8WZZ55JY2MjTzzxBNdccw2nnnoqxx/vLpROP/101q1bx3vf+17e85730NnZyfXXX88b3/jGssr/+te/nm9961t88pOf5DWveQ0PPPAAP/zhD7nppptmdX3u2p6lYzgsZzMFoUVHZXGZoiWuXb5Sbo7iR2ZKaQzZoiUbQHuNx1DB8PEzW2hLezSnNFfe1c2DHQWygSEXjn5eNWigLa15//ObRnVue7y7QKZo0RqOaYhx9RlNnHN0zaysV6VzLRVTDOYNe4cD8oH7MsKCrxVP981di1lBEA6Mg3VpTcahdMTENx9PbMNaig9tPfBAcmOcAJSIoxIxVG2K5Iv/jOLvt2H2dJH995+j4jH89avLokn2Oz/FZnJOPDJz4HyJuuPptibMvh7nPvM91NImyObddozKILxVSzCDGReGPtFYSl0FS49pjT6qHRWEhE/tAWtRS5pQNUmUsZjhHMNf+k/im46bVYHIGjNqX4uftYmWOdj/FjxNz0Y1PQvb+SCE8+PuBo1adwHeMa+d1vlirTk4p8wkOUYqVoutr3EiRDCMt/H9qKPOXfTOmIXEQnIrHXReljAh93QP8o+P7iQXGjrywbjKjuXJGAmt2JMrkJ2Fph4Kd96/MumuCzui5XoKAms5sS7FZWuXSLaUIMwBMxamHn74YS6//HL27NkzTpRSSpVdSrPNv/7rvwJw/vnnj5p+zTXX8OpXv5pYLMb999/PrbfeSiaTYdmyZfzf//t/efvb316e1/M8vvSlL3HVVVfxute9jlQqxbnnnss73/nO8jyrVq3ipptu4pprruHWW2+lvb2dq6++mhe84AWzti6lXKPAwtH1HnuGQwphdLPXuuuE1Q0+g4WQ7PBCkKUcFpczVQwtdQlNbw768oa2tIdWquxy6s6AsYbCmOuLWCS2FSYQ23wNG9vifLKiw96h6Ny2aWmc9c0xtnQWqA8tOwZd+1lfKTSujNBYy3W/7uW45hhnH5XGWCvd5ARhgTAbLq2xgkMsEjQOhSNGaU3qDedQfPhJDvQ2hKqvwVveikonsdYSPr2XzLd+7DoUtjagEjFsrkDhwSfoOe+fqf+nCwlKDqO56M6nVYVbKkA31WGDEOV7MJTFRtsx8aLNDF3/XWyhiO0bmjSySC9rxfYPYXOFkQytWIxwf180g4bhHHq5c7eppjrM7i4Gr72N+FmbZkUoyt/54Mi+UCiOE/qOJMpiwMA/QCbDIb19pjwnUjYcj7f5oyilsdZge7ZMKAaMyoUKC+6qM9WOXvtG9LrzqhINpsoxUkph4/UQ5iDZIiLEPLCQ3Epz6co6EjHWcuO2/QwGIfsLoyUpD1iZimFQsxZyrnGVG0viPmnPdfqr8T0ateItq1s5s7WODfWSOSsIc4WyY9WlaXjlK1/JUUcdxTvf+U7a2trG5fLU1YmCPDQ0xObNm3nwwQepra0d9/iDHXlefXsHCktPzpALbLm7ddxXtKYUoHnDibV86oG+Awrvm2kJ3Uw4qsHHGtiXCWlMupOwuKdY3xzjmEafWx8dJB86kQ1cbpXCCVNr6n08D4byTriy1pIL4eozmrl0c8O8HOxLXfl29DtRKq5HRDhPwep6n4GCZUNbnPc+r5FPPtDHEz1FCqEtr/cVz2uUzn3CnDLdcUU4MKYTHCYSrYADdsmMXZ6/cR09L30Phd8+ji0GkM3PPAw95uMfvQxVlwZrKT72DOSK6DVL0c312MEMpqPHCTthCPEY/toVBH98ptzVbtZprqPxYxfjHb2svJ7BI38atc2KD22l+6XvwfQOlsvwCIJxX156aZObR2v3ZVIMXbj7vh43DQuhxV+7AlXjsiBtJocdztF8+8cOWrjM3/kgvRd/CjuYQbfUQ8Llj5nuAVRdmqab3nNYi1MHemwJO36B+cVbIZi7tvDj8FKQXIr33E+g208fLTyZIuhYubQPGMmF8uLOQRPmXWc2paHxRLyTPzitcGF7thD84i3g16AmyDGyQRaCYfwXfBXVvGEu1lqogoN2xgmzymycs9zZOcCbH36GwWD0d2JSK5YnY+SMpSNXnJWQ8//TWsuLlzby3x19PDmcp2gtMaU4tiYpDilBOETM2DG1fft2/uVf/oU1a9bMxXiOCLoyIYMFQ6ZoCIwTP7xIj8kHln3DlnQMltd6xDwXvTHTg+5c3r8cyIf0513pYdIDTyuMhYf35bh3lyWhFWvqPQKrCIxl10CAr53Q05EJOa45Rk3MpaVniobhouXPV87fHYizj0pz+XMbeddPu9w1TyQSpnxFe41PfULja8Mj+/O8+X/2UzDQktQkUpp8YNnSWeDiH3Vy04vbRJwShMOIsYKDStRDvkhxyzZ6L/5UWXCoFDaqcc5MJGYprSd8rl7WQvj0XrxlLa5cMJPHBqEL9fY0dvs+l9E0GQqwlnBvN9pazJ4uyBYAMDv3u858xUjs8TVol/UU7O2afJnV4ntO6JrgC0d7Hv5xq0YJNiUxynT1U3xoK95Jx0TrGrqxTZKzZboHnLMrEb0eQKHoppW+PK1xrqzSkw6gc+JEWGMYvPY2t49U5o2lEugVrbPuzDqc8NpfgDnxMtjysUP3ounleM/5OLr9dCeM/erdUByGeAMkm8AUsD2/J3zgnRCrg8IgxOtcBpQJoxLTmBOn+h8n/M374NRPTC1OSde1wwJxKy0u9uaKXPzI9nGiVGPMoyXm0x+Esxpy/qplTbx+ZQt/u6qFLQNZegoBzXFfHFKCcAiZsTC1YcMGtm/fLsLUQdCc0mSKppz1WrQjQeHRzWAyGLCQjmmGMRQOPstv1ujJuQ55cQ92D4Xlscc05AJQvqUmrgEXHNidVWQDi4cT3jJFSzrmHuvJGTa0xdm0dH67jx3dEKMxoWlMakLruiSmfVU+AU140JczpGOaYxr98vRUTLHCV+weCrn2gT7OWiNfYIJwOHAggkM1QhYwoXCVePFzGf7Sf457bvDHZ7DDWYj7eKkE1CTLF1YaKO7umlqYsrgg8Gye8JmO0RlNnoZM3v0e91FaO4NUaNDN9ZhcYeTxAyE0E98FScVBawau+Sb1dWlsz4ArL/zeXYRbd44S5TDGiQVThZ9b6+bLjozVdPVHYe+hKx1UynUmtBYyecxwFgDVfHB3uYsPbSV4Yod7zybo3Kqb6wie2EHxoa2HLPh/oWA67oWnvg06AeYg9qOqUXDsm9DtpxPsuQv7y4tdVzyU+6mj1u2m6DIDsvtAJyEYAOPEWre/Ru+jsVDoxzz2edTS0yZ11yykHCNBOFL43p5eeiq+FzygLeFT43mzFnJeotbT/NXyJgC0UpzcIDeZBWE+mLEwdf755/OJT3yCrq4ujjvuOHx/9CJKQePC1Bg74oIqCVIwMs1YaExp6uKahAf7hs2CCEGvpBBdD3jR36Wg9nxIWXxSyrmOdgwUy9cwhdAChp6coT6uuOJ5jfMu5rSmPRK+xlOK2vj4k8u+vCW00JTUE16cNCc1T/QUeWhfgc3tE7SXFwRhQTFTwaEaIav/vV8g7BuCoQwqnYSaJBhL4ZE/kb93CyoZxzt6mculGcwQ7u12AeTGYnZ1YvqG8Je3upI8XDkaQeTymKrkrnTXWCsnRoWUxZoyQYiN8pnQCh3z0WvaCbbunHnpoBcdIyd7XmDAWgq/2ELPK97nMqQGMu51l7U4QSpfJNi6EzsQCQtTMfbheMytX77g1t3TqHQSE4bYJ3eNKlkcuPLL1L///KpK7UwQkP3OTwm378Nbs5TU68/BdPU7IS1RP/GTZsmZdbgxqlNdzSoYfIqZe7tniNLwxFcI+h/HPv3dEbEJC9aMBLHrGOCBDSLBrPTZqdyRot7BSrsywN5HYYoyvIWUYyQIRwJnt9Vx3TZNJjTUepp638ObxZDzEhp4z7FL8Y8wx6sgLERmLEy94x3vAODKK68sT1PKuV/mMvx8MdGVCacVmSyuXGx9c4zf7M27LFmcu2q+8BQ0JRVdWYvFiWehHRHWPOVOS0MLxYovjfqEZnV9jN1DrttdX95QE9NsaIsvmGymyhD0FRVOKXBW/b6cwdPQmJz4AirpK3pzhq7MArK2CYIwKTMVHKoRsop/eBpivhORegcjR48Cz4NcAatUWZQKtnc4YSfmO4eHtZDJEWzvwF/TjqpLY4qBcwqlEpDNRdbaUunaBF8GxrpypYmw1v0LDCqVcEHpxqAaarDxGAznIJMbLTap6PXGXASolnoXVj5WmNKaUv256eyLrLQx7FA2cj2B6ehxbqn6GtSSRmzvIGXhoHK7Vq5fZSmH1u7LUOG2axBCaLB+VPZYKvXzPbylTQS/f2pUWeZkDH76Xxn8+Dex/UPlvKv+y/6F9PkvQcVdphSpCW465ApufVobJl32oqSiUx1eErQ3N90dK/HrodCL3fZtphTBTAiqdHpbue+W/N1QTuIsDjtxKt8zbQmYdF0ThEPHiXUpnjj72fy8a4BP/amD7qJhV7ZAMEvXQQpo8DX/sG4plx69dHYWKgjCQTFjYepnP/vZXIzjiKI7a7AW/EjIsRWlfFq5n8bC7zoKvPfPGnjTHZ0MFBjXIvVQ05zS0fXJyLdCpdNr1HVEOPqboy6uqI0pTmqN8+HTm1hS4y+obnZaOefWxT/qZPdQSHNSk/QVucCVG9bFFXFPkw8gFRv//FzggtBb0974BwVhATNZHtJiR7c2zEhwmE7Issa43KNi4AQW33NqvbXuNayFfAE7nCPc2+1EnbjvLo9jXuR6Ui7/aU8X/qolTrTRGlWXwmZzpVeKcnLGC0bAyEHZ2tHlcc6uCjHP5VlF66hr09S9/3yGb7mD4m8er9hAkcjk6eguhHGij+e530tlFIpoXT33BWYjJ4p1LWaVr912ifnlWnXT0YOqS6OVxozt1FHWDSrWr1Sqt6wF+odHHFG2QpzojQK4I/eUt6wFVZfGWjttDtTgp/+Vgfd/yQlgMc+tuzHY3kGGP/89vKOXYboHRjvlcDctTM8gsQ1ry6H4RwrjOtUdiptmxd5IcJpOADOMnFVNNjALaDDOZaUSzVUNYS5yjCS0WxAmJuFpzmyp48an9rMrmzvow8yymMbzND3FkDevauVD65eJU0oQFhAzFqZWrFgxF+M4omhJaVdtYSDpueBwizvJDSIXEsC/PNjPL3YleOfmeq59oJ+e3BzfjZyA0mmdApqTmm29wajHKqn8wujLW1IxM0rcaUhoPn5m84JwSE3E2UeluenFbVwbdd3rzRninnLd+P6sgU/+qn9SR9VCycoShJlQTZD3YiW26Tj89aspbtlWleAwnZBlM/nIIQUkYiPHR6WwcQ9yBkKDGc5i8wXwvZF5dCRkxWNOxMnkMb2DxDYdh+0dJHhqT+Qmir4syj8nICrVc6/N6DLAZBx/ZduIYBOtY/qiV6DXtNN7/kexwzknrsVjIwYmrbBKQxjiP/to0he+jIEPf8WJaaV1iWa21pYFJZWIOcEqCilXCudsirKtbBA6EajkvLIVjhZbIUpZCzUpvCVNsKQJ09mH6egGo912K0aiHk4M0+3N5XLI6XKgTBAw8LFbnYgX98t3h5TvudLHXNEJaUuaMLu70M11LqQ+V8D0DKLq09Rdcd4RIeZWohLNrmQujErl7OyFEE9Jta9jjRtfudxv1IO4Nzkq90stnbfg8qm6Ckp5oCDA1uE8O3JFfKB4EMvRQFsyTs5YLIpzlzeJKCUIC4wZC1MAO3bs4Bvf+Abbtm0DYN26dVxwwQWsXr16Vge3WFlS49OY0PTmDAVj8aMLjmJFjqyvoC6u2dJZ4On+Ilc8v5GP/bKX/sKhreUrvVrCg66MKd1jdKV8TJwMUhuD9S0x9g6Fo8SdhVK2NxVnH5XmrDUpHtpXoCsT0pr2ys4urdSkjqqFkpUlCNVSbUe6xYrSmrorzqP34k9VJThMJ2S5rCScY2fci6mybmLzo7vJ2YryOr1uBWRymP291H3gAmre/moKdz1Ez4UfcyVmJffSdPkaxpZFKbWkEdvZB57GW70EUglsJjduHb0ljeiaFNSmCDt6oBhgfW9E2CoGoDW1F72S2KnH49XXYJUrzaMYYn3t5q0o79OtjahYhZOq5PSKOujZfGF8+VelIBU5l9Aa3VxXjg2wfUPuSyjujwhxFifsRY4sXV8zsswpcqAGPnSzK7sEJ7RF283GfJSnsTEPm8lR89cvpPjgE07E7R1ExWPENqw9IkTcCanoVIdfw9TupLliitdUCpJtkO1wHfjKVIpSBpRGr33jvDiUTMe9LlC9OBSVRLpAddv3mJt+6rUiTglHPN2FgKKxtMZ99h5EF75lCXfJ21cMObEuxYb61GwNURCEWWLG38S/+MUveOlLX8qWLVtYv34969ev55FHHuFlL3sZv/zlL+dijIuOTUvjbFySoDamSXoQWkshHHEmecp1e2tKalbUegwWLD95OsvVZ1ZnNZ9ttHI5UWsafOoTmnSUO1u6KV8ZK6qAY5vj3Hvecm5/dTu3vGwJt7+6nf993bIFL0qV0EqxuT3Bi49Js7k9URabSo6qDW1xhouWvUMhw0XLhrY4X3px22GzfoIwLsg7lUBp7cSRFa3YwYx7fK4zY+aZxNmbabrpPcQ2rMUO5zB7u7HDOWIb1tL0pdHCXEnIUnVpzO4ubCaHNcaJPLu7UDUp8HVUxTZRiZ37urWlznLGuO1bDMFzLh+tNUprdF0NsT87keJDW7HFgLorzoOG2uhuQOSuio25r1QSfUpE3fdsvohe1kpswzrnxJpkHUvCm80V8VYvRaUSThQqBlEJnya2cR3pi15RnpdcEV2aN4xKB0urnoyh2xpR6SQqEXfh61AWqGy+gNnXUzF/3K1XJcagGmvxN66DXLHccc/mCm5bK1f6SNx1AXQ18h42X3DB8SUmyYHK3/kgmS//V8U2LL2uhUIRG5ryclVtipb//TTNt3+Mpls+QPPtH6Plfz99ZIpSjHSqw691nenmbyQTT060QqLZdeVDgY677oHKd6IUkfDZeCJ63XmHcsDAmPD4dDvKT6GURvkpSLVDMOScVHZxH4MFYTqa4z4xrfAOQvhWQI3v0ZEPqPU1l61dIjeSBWEBMmPH1Kc//WkuvPBC/vEf/3HU9Ouuu47rrruOP//zP5+1wS1WKvOMBguKBgUdw2G5UsPT0F7jl+/Ilzq+aaVI+ZCdY8e8BtIxRU1Msabe59Xraznn6DTGWv7q+/tQaDqGA0JXNVG+Zxka9/tFG+vxtV6U3emmclQJwuHCTDvSLWYSZ28mftamqnK2SkJWufyxwjmTfPUZDH74a5jewdEOosgRhadR9Wn841ZR3LLNlex5nhMD25vR9TXl8jpvZRsDV36ZcOvOcoll7OhlBDv2QxCgG2sxxmB37HcDU8q5hyASh0bst/7KNhpveNe061jpILMDGbyVbZHwlscODKNqUqTf+pcTzqtXtIK12EweM5R1QlAyXm6K4i1rcWHv+agQI51w7qViGAlM2glMflSaVyg6l9SyFpq+9n6U1mVnm3NJWbCq3JHPW9GK6ehxop/vSgdtELrvpklyoEribDksvVT26B5126/olo9SeGuWorRe9J+HmVDqVBf+8UbYf//ozK+ZLYkD6+hXup03gXMqVgNhDrQPxgMv5RxUWAizEGQg1oh38gfnJ8+pIjx+omOwjTdW1S1QEBY7G+pTHFuT5IGewQNeRkLDcGg4sS7FZWuXcEZL3SyOUBCE2WLGwtS2bdu4/vrrx01/zWtewze+8Y3ZGNMRQWWe0cP78+USuWRM0V7jnEklkr5i33DI1ff14Ou5s8sr4OQlPhed3MjRjbFxoouxtty5bnWdT0cmJB9YQkBFlSknLYlz0aZJulwtEkqOKkE4XJlpR7rFzkwEh8mELIDc7fdQ+O3jLjspV4hKhRSkEijfI/6c42m+41Nkv/LfDHz0Fmy+gF7SiKoor8PXhB3dsKtzVIlluLsLlfDx1izFdPZhBzIjg4q7sjPA5SJFjh88j/pPvK3s6pluHccKb2Yo47KzLKA1Q9fcRu72e8rla6NEukhASzzneBIvfi7DX/rPkRLJmiRee7MLfTdRSV/BZXX5K9uceNTR45xQNnIpeR51V55P8pxTAcqvVfz9tqiU0ZU/lkLOAcId+0bC57WasGSxREmc9Za3EgxlR0oQywKVLQfIq+Z6Uq8/p6r940ij1KkufPJW7O8+fABZUyoKNA/d79M9XyfdexRGzsNxyfnKZUsVB1xeU8tGVPuZ2I67oxynALSPat4wrzlO48Ljx+IloNBfVbdAQVjMaKV4YVstd3cfmDClga9uXEN7KsGG+pTcSBaEBcyMhanm5mYee+wxjjrqqFHTH3vsMVpaWmZrXEcEJffNt/8wxLvv7KI2pmlK6nF3z3KBIVN0dwaPbfJ5vDsgU2W/VEV0E1pBLpxc0tLApZvr+ew5rZMetCudXgMFy8o6D2MhW4ThoqEppfnkWS1y0BeEBc5MO9IJo5lMyCpnVg0Mo1vqsZ5GhQaTyaMbaqi74jy071Pz96/CP27ViADUN+SC5086Bts7SLirc3SOVVRiaXZ3oZrqaPri5RR/9UcG/umr2EhUseX8JuvcR56HbqrDWzqzEvCS8Jb58g8Y+OgtgEIvbUIl4xNmkE3mxIpvOm6csyx+xsmkXnMmpnuAoc/+mysZ1C6TS9WlRwLRPYXpG8I/evm4cRUefJz+v7+OYHsH3pr28jbS9TXY1Usx2ztAa2z/MEyRA1UWZ1vq0ctaMLs7K1rLqpEvS09Td+X5aP+AIjmPCJTS6Pp1hLE6KPTO9NmREKghuQRynRMElnuAAeWhN7wHAPP7T0FYiJ4biVteEuJN6BMuRtWuHtXhzh5/0YLqfDcqPN6fIOsmzDsBrcpugYKwWDHWcvuevgN+/vmrmnlJe9PsDUgQhDljxmdaf/3Xf80//dM/sXPnTk455RQAfve733HzzTdz4YUXzvb4Fj1aKf7mWbXc+uggWzoLNGHJFC2BcYJSyof9wwaLZWnaQynNyjqfbb1FwukXz4dPb+TPVyT5xK/6uXtHluIYt7wCkh4kfc1j3dP3uxjbua4QWuKe4pT2xGERbi4Iwsw70s0X1piqSuwWCmNdRORyEI8R37hunDgykahjjaX3rz44ZYlluHUnSmtq3v5qcj/4pXNoFQPnQDLWhf8l46iYT2zjugN+D7O33w3G4B3VPqFANnjtbcTP2jSpSDeVaFV48HEyX/7BKGFUKQU1SVeUlcmhE/FxwqjSmsSpJ9LwqUsmDK1nIINevZT6y9+Ad/SyKfeZSnG2JN6Zvd2Rc2okgL3mHa+h7vI3HNA2XMxYa8pCD/FGV86nfKg5ygWOm9wkzxzj+i51xvNSLhMq0QxDO6HYPzK/AmIN6BPfgXfC37vJjSdifv9JGNruBEUviWo4dlIXlFIamjcsHPdRRXi89ZLjjsEU+lCNJ8xbt0BBmG+MtWwZyPLr3iH+OJid8fM94LxVzXzm2dKYSxAOF2YsTF1yySXU1tbyta99jc985jMALFmyhEsvvZQLLrhg1gd4JFByIl3w3/t5tLOIsSPJCVpBXUKTjmmSMXdyXZfQHN3g8af+8dJU5SlfXVzxgdNcO9SGpMcr/r2DuLZorQlCl/1RE3dZUpmi5YmeIg/tK0xbpiY5S4JweDPTjnTzQf7OB8eVifnrVy/4LmgzyawaK+rkfvSrqkssR+U8DWZQbY1YrVDGZT0dzHs4Wxlkk4lWByuMTpX1Ve3+MXYM3tJmvCVNmN5BTK4AmRyxU0+g4dPvmHZZRxqm414XzD3wJ1eOBlDoh2QbKlGPjdXC4LbI0eThyiJLN77Glt45JxSpJeWui3gxaD4dfdRrILsXlV4Ba16J1iOnrN6yM5wAtYBcUDOhFB4f/uYKyHZg443lrnwU+sCvRZ9wyWGzPoIwm9zTPcgN2/bz5HCO/mJIMWo068G0N+U1sDoV55enH0dSnK6CcFgx40+sUooLL7yQCy+8kKGhIQBqa2tnfWBHIrZ0wqZG95nRuPzVfGBJxdwjDSmfFaFl95AZswyHp+DDf+5EKYCerJuvJe1PKCAlfejNGboy1fiwJGdJEA53ZuPifq7I3/lgWXCpzFkaW0a2UDnQkOyZlliOc2hli1OWr1XLXGeQzYYwOhMBcCZjUMk4KpNHLWmi/v3nL2iH3nxgOu51YkpxCBKNTkzJ9TqBKteJ9RKoWC02vQyGd4ENI1eUB7FaCIZwXV5SLpxcaRdK7qexQbYsyngnXjpt/tOCc0HNkFJ4fFnkK/S78r3GE+Y1/0oQ5pN7uge5/NGdDAaGppiHsZah0OCSBaduleABSxI+nz1plYhSgnAYclCfWhGkZgdjLdc+0EdoFc9qjZENGSnl82DPsKEYWrqyISt9Vb673F4bA4rsGTIjvWkUNCY0Vz6/kcv/bKSmujXtEffUKHGrklzgSvJa0964xwRBWJwc7MX9XFDqlmYHM5PmLFWWkS0mDsRJNBfv4aHIIJsNYfRgu+QtZHF2IWKtwTz2eSdKpUdKPG0sDTkPTAjZ/Vi/xolTNSshu98JUFjw4tByGnrlS1G1q7FDOzA773Duquz+I1KUKYXHH67OL0GYTYy13LBtP4OBYVnCdSe3gMoHWEaqSdzVz2hiSnFiXZKrjl8uXfcE4TClKmHq3HPP5ZZbbqGhoYFXvepV46z9lXz/+9+ftcEdKTy0r8ATPUVakhqtNTVjzkeak9CdDYl7it1DIc1JTdJX5AJLYBXHNGj++oR6auOaNfU+rz+xpuyUKrFpabzcUW9FhbgF7oKnJ2fY0BZn09L4oVhlQRAWCAd7cT/bzFYZ2eHIgTqJZvs9PFQZZAtBGF0IYzhs6H3UOXsSjaM/m17S/QuyrhQtzIKfduKUl4bMLqhZiXfqJ1DNG0aJLnrdeUe8KHO4O78EYbbYMpDlyeEcTTGvfIxJe5qkVmSNqwkxuIvXOCPi1LJEjFs2rWFTY43EigjCYUxVwtSLXvQi4vF4+fephClh5nRlQgqhJZGa+GQs6Su0Ulx6SgM/257liZ4ivTlD3FNsaItXFTpe2VFvrLjVkzPUx93jckAXBGE+mesysoXOQnDxHMoMsoUgjC6EMRwO2HyPK9nzRrvolFLY1BIXWm5DCDJYLzmSlxRvwjv5Q+iWk8ctU0QZQRBK9BQCisaSGFPZsTwZZ0c2TzHKKwlwGbw+0Br3+fzG1WxukioeQTjcqUqYuvTSS8u/v+MdEgQ621RbZnfO0Wne87zGAw4dH9tRb6biliAIwlxzKMrIFjoLwcWzEAQyYWGhEs2gY05w8lOjH4vVOnEq1wWmcMSW5gmCcOA0x31iWpE3lpQ3cm1T62tWpxLsyRXIG0vaV6S0x4m1Sd61bqmU7gnCImHGGVMvetGL+Pd//3eamppGTR8YGODcc8/lZz/72awN7khhJmV2Bxs6Lh31BEFYyByqMrKFzkJw8SwEgUxYQDQ9G1W/Dtv3GNZLjvtsYgqw5Ll4G66AQt8RW5onCMKBsaE+xbE1Sf44mCWpR18P1XiKOt/jxFSc965bSmsixob6lFy/CMIiYsZnC7t378aY8f0QCoUC+/btm5VBHWmUyuzq4i5DKlM0GGvJFA27h8JZL7MriVsvPibN5vaEHNQFQVgwlMrIVF0as7sLm8lhjcFmcpjdXbNaRiZMT0kgS774z4hvPl62+xGMUhp9wiXg10K2Axtksda4bnrZDtdN74RL0S0no5edNS5PShAEYSq0Uly2dgm1vqYjH5AN3fVQNjR05ANqfc0H1y/jnCUNnNyQlusXQVhkVO2YqnRC/eIXv6CubsQ2aYzh/vvvZ8WKFbM7uiMIKbMTBEFwSBmZICxMdPvpcOq1mMc+74LQC/1SsicIwqxxRksdn372Km7Ytp8nh3P0BTbquJfisrVLpGxPEBYxVQtTl1xyCeBCLq+44orRC/F9VqxYMW66MDOkzE4QBMEhZWSCsDDR7aejlp52xHfTEwRhbjijpY7Tm2vZMpClpxDQHPelbE8QjgCqFqYef/xxAM4++2z+/d//nebm5jkb1C6BmVgAAPaxSURBVJHMwWZICYIgLBYWQs6SIAjjkW56giDMJVopTm6QahFBOJKYcfj5nXfeORfjEARBEARBEARBEARBEI4wqhKmbr31Vl73uteRSCS49dZbp5z3ggsumJWBzTff+ta3+OpXv0pnZyfHH388H/rQh9iwYcN8D0sQBEEQBEEQBEEQBGHRUJUwdcstt/Dyl7+cRCLBLbfcMul8SqlFIUzdcccdXHPNNXzkIx9h48aNfOMb3+Atb3kL//u//0tLS8t8D08QBEEQBEEQBEEQBGFRUJUwVVm+dySU8n3961/nta99La95zWsA+MhHPsJdd93F9773PS666KJ5Hp0gCIIgCIIgCIIgCMLiYMYtVG688Uay2ey46blcjhtvvHFWBjWfFAoF/vCHP3DaaaeVp2mtOe2003jooYcmfc7Q0NCof4IgCAeDHFcEQZgL5NgiCMJsI8cVQRAOlhmHn3/+85/nDW94A6lUatT0bDbL5z//eS699NJZG9x80NvbSxiG40r2WlpaeOqppyZ8zk033bQoRDlBEBYOclwRBGEukGOLIAizjRxXBEE4WGYsTFlrUWp8g+DHH3+choaGWRnU4cbFF1/Mm970pvLfQ0NDnHnmmfM4IkEQDnfkuCIIwlwgxxZBEGYbOa4IgnCwVC1MnXrqqSilUErx4he/eJQ4FYYhmUyG17/+9XMyyENJU1MTnufR3d09anp3dzetra0TPicejxOPxw/F8ARBOEKQ44ogCHOBHFsEQZht5LgiCMLBUrUwdeWVV2Kt5corr+Qd73gHdXV15cdisRgrVqxg06ZNczLIQ0k8HudZz3oW999/P+eccw4Axhjuv/9+zjvvvHkenSAIgiAIgiAIgiAIwuKhamHq3HPPBWDlypWccsop+P6MqwAPG970pjfxvve9j2c/+9ls2LCBb3zjG2SzWV796lfP99AEQRAEQRAEQRAEQRAWDTNWl5773OeyY8cOvve977Fz504+8IEP0NLSwt13383y5cs59thj52Kch5SXvvSl9PT08C//8i90dnZywgkn8JWvfGXSUj5BEARBEARBEARBEARh5uiZPuHXv/41L3/5y9myZQs//vGPyWQyADzxxBN87nOfm/UBzhfnnXceP//5z3n00Uf5f//v/7Fx48b5HpIgCIIgCIIgCIIgCMKiYsbC1Kc//Wne9a538fWvf51YLFae/rznPY+HH354NscmCIIgCIIgCIIgCIIgLGJmLExt3bq1HApeSXNzM729vbMyKEEQBEEQBEEQBEEQBGHxM2Nhqq6ujs7OznHTH3vsMZYuXTorgxIEQRAEQRAEQRAEQRAWPzMWpl72spdx3XXX0dnZiVIKYwwPPvggn/jEJ3jVq141B0MUBEEQBEEQBEEQBEEQFiMzFqb+4R/+gWOOOYazzjqLTCbDy172Ms477zw2bdrE2972trkYoyAIgiAIgiAIgiAIgrAI8Wf6hHg8ztVXX80ll1zC1q1bGR4e5sQTT+Soo46ag+EJgiAIgiAIgiAIgiAIi5WqhSljDF/5yle48847KRaLPP/5z+fSSy8lmUzO5fgEQRAEQRAEQRAEQRCERUrVpXxf/OIX+exnP0tNTQ1Lly7l1ltv5SMf+chcjk0QBEEQBEEQBEEQBEFYxFTtmPrP//xPPvzhD/P6178egPvuu4+LLrqIj33sY2g946gqQRAEQRAEQRAEQRAE4QinakVpz549nHnmmeW/TzvtNJRS7N+/f04GJgiCIAiCIAiCIAiCICxuqhamwjAkkUiMmub7PsVicdYHJQiCIAiCIAiCIAiCICx+qi7ls9ZyxRVXEI/Hy9MKhQJXXXUVqVSqPO3GG2+c3REKgiAIgiAIgiAIgiAIi5Kqhalzzz133LRXvOIVszoYQRAEQRAEQRAEQRAE4cihamHqmmuumctxCIIgCIIgCIIgCIIgCEcY0k5PEARBEARBEARBEARBmBdEmBIEQRAEQRAEQRAEQRDmBRGmBEEQBEEQBEEQBEEQhHlBhClBEARBEARBEARBEARhXhBhShAEQRAEQRAEQRAEQZgXRJgSBEEQBEEQBEEQBEEQ5gURpgRBEARBEARBEARBEIR5QYQpQRAEQRAEQRAEQRAEYV4QYUoQBEEQBEEQBEEQBEGYF0SYEgRBEARBEARBEARBEOaFw0KY2rVrF1deeSVnn302GzZs4JxzzuFf/uVfKBQKo+ZZv379uH8PP/zwqGX98Ic/5CUveQknnXQSL3/5y7n77rtHPW6t5YYbbuD0009nw4YNXHjhhTzzzDOHYC0FQRAEQRAEQRAEQRCOLPz5HkA1PPXUU1hr+ehHP8qaNWvYunUrH/rQh8hms7zvfe8bNe8tt9zCunXryn83NjaWf//d737H5Zdfzrvf/W5e+MIX8l//9V9ccskl3H777Rx33HEA3HzzzXzzm9/k2muvZeXKldxwww285S1v4Y477iCRSByS9RUEQRAEQRAEQRAEQTgSOCyEqTPOOIMzzjij/PeqVat4+umn+dd//ddxwlRjYyNtbW0TLufWW2/lBS94AW9961sBeNe73sV9993Hbbfdxkc/+lGstdx666287W1v45xzzgHgk5/8JKeddho//elPednLXjbhcguFwij31tDQ0EGtryAIghxXBEGYC+TYIgjCbCPHFUEQDpbDQpiaiMHBQRoaGsZNf9vb3kY+n+eoo47irW99Ky960YvKjz388MNceOGFo+Y//fTT+elPfwq4csDOzk5OO+208uN1dXVs3LiRhx56aFJh6qabbuLGG2+chbUSBEFwyHFFEIS5QI4tgiDMNnJcEQThYDkshant27dz2223jXJLpdNprrjiCk455RSUUvz4xz/mkksu4fOf/3xZnOrq6qK1tXXUslpaWujq6gKgs7OzPG2yeSbi4osv5k1velP576GhIc4888yDW0lBEI5o5LgiCMJcIMcWQRBmGzmuCIJwsMyrMHXddddx8803TznPHXfcwdq1a8t/79u3j7e+9a285CUv4bWvfW15enNz86gD4oYNG9i/fz9f/epXR7mm5oJ4PE48Hp/T1xAE4chCjiuCIMwFcmwRBGG2keOKIAgHy7wKU29+85s599xzp5xn1apV5d/37dvHBRdcwKZNm/jnf/7naZe/ceNG7rvvvvLfra2t45xP3d3dZRdVKZuqu7ubJUuWjJrn+OOPn36FBEEQBEEQBEEQBEEQhKqZV2GqubmZ5ubmquYtiVLPetazuOaaa9BaT/ucxx57bFQQ+sknn8wDDzwwKmfqvvvu4+STTwZg5cqVtLW1cf/993PCCScAzor6yCOP8IY3vKH6FRMEQRAEQRAEQRAEQRCm5bDImNq3bx/nn38+y5cv533vex89PT3lx0rC0/e//31isVhZUPrJT37C9773Pa6++uryvBdccAHnn38+X/va1zjzzDO54447ePTRR/noRz8KgFKKCy64gC9+8YusWbOGlStXcsMNN7BkyZJylz5BEARBEARBEARBEARhdjgshKlf/vKXbN++ne3bt3PGGWeMeuyJJ54o//6FL3yBPXv24HkexxxzDJ/97Gd5yUteUn78lFNO4brrruP666/nM5/5DEcddRSf//znOe6448rz/N3f/R3ZbJZ/+qd/YmBggM2bN/OVr3yFRCIx9ysqCIIgCIIgCIIgCIJwBKGstXa+B7HYGBoaYvPmzTz44IPU1tbO93AEQVgEyHFFEIS5QI4tgiDMNnJcEQRhpkwf1CQIgiAIgiAIgiAIgiAIc4AIU4IgCIIgCIIgCIIgCMK8IMKUIAiCIAiCIAiCIAiCMC+IMCUIgiAIgiAIgiAIgiDMCyJMCYIgCIIgCIIgCIIgCPOCCFOCIAiCIAiCIAiCIAjCvCDClCAIgiAIgiAIgiAIgjAviDAlCIIgCIIgCIIgCIIgzAsiTAmCIAiCIAiCIAiCIAjzgghTgiAIgiAIgiAIgiAIwrwgwpQgCIIgCIIgCIIgCIIwL4gwJQiCIAiCIAiCIAiCIMwLIkwJgiAIgiAIgiAIgiAI84IIU4IgCIIgCIIgCIIgCMK8IMKUIAiCIAiCIAiCIAiCMC+IMCUIgiAIgiAIgiAIgiDMCyJMCYIgCIIgCIIgCIIgCPOCCFOCIAiCIAiCIAiCIAjCvCDClCAIgiAIgiAIgiAIgjAviDAlCIIgCIIgCIIgCIIgzAsiTAmCIAiCIAiCIAiCIAjzgghTgiAIgiAIgiAIgiAIwrwgwpQgCIIgCIIgCIIgCIIwLxw2wtTZZ5/N+vXrR/378pe/PGqexx9/nL/5m7/hpJNO4swzz+Tmm28et5wf/vCHvOQlL+Gkk07i5S9/OXffffeox6213HDDDZx++uls2LCBCy+8kGeeeWYuV00QBEEQBEEQBEEQBOGI5LARpgDe+c53cu+995b/nXfeeeXHhoaGeMtb3sLy5cu5/fbbee9738uNN97Iv/3bv5Xn+d3vfsfll1/OX/3VX/Ef//EfvOhFL+KSSy5h69at5XluvvlmvvnNb3LVVVfx3e9+l1QqxVve8hby+fwhXVdBEARBEARBEARBEITFzmElTNXU1NDW1lb+l06ny4/94Ac/oFgs8vGPf5xjjz2Wl73sZZx//vl8/etfL89z66238oIXvIC3vvWtrF27lne9612ceOKJ3HbbbYBzS91666287W1v45xzzuH444/nk5/8JPv37+enP/3pIV9fQRAEQRAEQRAEQRCExcxhJUzdfPPN/Nmf/RmvetWr+MpXvkIQBOXHHn74YZ7znOcQj8fL004//XSefvpp+vv7y/M8//nPH7XM008/nYcffhiAXbt20dnZyWmnnVZ+vK6ujo0bN/LQQw9NOq5CocDQ0NCof4IgCAeDHFcEQZgL5NgiCMJsI8cVQRAOFn++B1At559/PieeeCINDQ089NBDfOYzn6Gzs5P3v//9AHR1dbFy5cpRz2ltbS0/1tDQQFdXV3laiZaWFrq6ugDo7OwsT5tsnom46aabuPHGG8dNl4OyIBzZ1NTUoJQ6oOfKcUUQhIk4mOMKyLFFEITxyHFFEIS5YCbHlnkVpq677roJA8orueOOO1i7di1vetObytOOP/54YrEYH/7wh7n88stHuaTmg4svvnjU+Pbt28dLX/pSzjzzzHkclSAI882DDz5IbW3tAT1XjiuCIEzEwRxXQI4tgiCMR44rgiDMBTM5tsyrMPXmN7+Zc889d8p5Vq1aNeH0jRs3EgQBu3bt4phjjqG1tXWcq6n0d8klNdE83d3d5cfb2trK05YsWTJqnuOPP37SMcbj8VHiWDqd5u67765KIRwaGuLMM8/k7rvvPqgvhCMF2V7VI9uqeuZqW9XU1Bzwcw/muALy/s8E2VbVI9uqehbicQXknOVQIturemRbVc9cbKv5PK6AvP8zQbZV9ci2qp6FcM4yr8JUc3Mzzc3NB/Tcxx57DK11uezu5JNP5vrrr6dYLBKLxQC47777OProo2loaCjP88ADD3DhhReWl3Pfffdx8sknA7By5Ura2tq4//77OeGEEwD3Jj3yyCO84Q1vqHpsWmva29tntD61tbXygZkBsr2qR7ZV9SzkbXUgxxVY2Ou00JBtVT2yrapnoW8rOWeZe2R7VY9sq+pZyNtKzlnmHtlW1SPbqnrmc1sdFuHnDz30ELfccguPP/44O3fu5Ac/+AHXXHMNr3jFK8qi08tf/nJisRgf+MAHePLJJ7njjju49dZbR9lKL7jgAn7xi1/wta99jW3btvG5z32ORx99lPPOOw8ApRQXXHABX/ziF/nZz37GE088wXvf+16WLFnCOeecMy/rLgiCIAiCIAiCIAiCsFg5LMLP4/E4d9xxBzfeeCOFQoGVK1dy4YUXjhKd6urq+OpXv8pHP/pRXv3qV9PU1MTb3/52Xve615XnOeWUU7juuuu4/vrr+cxnPsNRRx3F5z//eY477rjyPH/3d39HNpvln/7pnxgYGGDz5s185StfIZFIHNJ1FgRBEARBEARBEARBWOwcFsLUs571LL773e9OO9/xxx/Pt7/97Snn+Yu/+Av+4i/+YtLHlVJcdtllXHbZZTMe54EQj8e59NJL5z3A/XBBtlf1yLaqnsW4rRbjOs0Vsq2qR7ZV9SzGbbUY12kuke1VPbKtqmcxbqvFuE5zhWyr6pFtVT0LYVspa62dt1cXBEEQBEEQBEEQBEEQjlgOi4wpQRAEQRAEQRAEQRAEYfEhwpQgCIIgCIIgCIIgCIIwL4gwJQiCIAiCIAiCIAiCIMwLIkwJgiAIgiAIgiAIgiAI84IIU4IgCIIgCIIgCIIgCMK8IMKUIAiCIAiCIAiCIAiCMC+IMCUIgiAIgiAIgiAIgiDMCyJMCYIgCIIgCIIgCIIgCPOCCFOCIAiCIAiCIAiCIAjCvCDClCAIgiAIgiAIgiAIgjAviDAlCIIgCIIgCIIgCIIgzAsiTAmCIAiCIAiCIAiCIAjzgghTgiAIgiAIgiAIgiAIwrwgwpQgCIIgCIIgCIIgCIIwL4gwJQiCIAiCIAiCIAiCIMwLIkwJgiAIgiAIgiAIgiAI84IIU4IgCMIRz9lnn80tt9wy6/MeKn71q1+xfv16BgYGDunrfu5zn+OVr3zlIX1NQVhM3H777TznOc+Z0XOqOQatX7+en/70pwcxMkEQFiuH0/FBzjP+P3t3Hh9VefZ//HPOnFmTyR6yQAgRBZFFENwwVMStrdi6a+tSq49S1GLVVqn6U+tOa1f1UbBVi9rH1qpUULu4VsSNzQUBBSNbQkjIOpntbL8/ZuaQSQIkkBCW691XKjNz5pz7BHIy853rvu4DhwRTQrRTV1fH3Xffzcknn8zo0aOZOHEiF1xwAX/5y1+IRCL9PTwh9hsNDQ3cfvvtTJ48mVGjRnHcccdx+eWXs2TJkl47Rldv3rb3JvDvf/87559/fq8du6OZM2cyfPhw5syZk3b/a6+9xvDhw3u0r4svvph77rkn7b5x48axcOFCgsHgbo+1N23cuJHhw4c7X0cffTSXXXYZn3/+ea/sd+XKlb00UiH6Rupnf/jw4YwaNYqTTz6Zhx56CMMwdnmfvXW9qqur46677uLEE09k1KhRHH/88fzoRz/ivffe2+19CyH6xsyZM7nqqqv6exj7tF35QED0Pa2/ByDE3mLDhg1873vfIxgMct111zF8+HA8Hg+rV6/mb3/7G0VFRZx44omdnqfrOm63ux9GLMS+68c//jG6rnP//fdTVlbG1q1bee+992hqauqX8eTl5fX5MbxeL4899hjnn38+2dnZvbpvj8dDYWFhr+6zNz355JMcfPDBbN68mXvuuYcrrriCV199laysrB7vKx6P98EIheg7kyZN4r777iMej/P2229z55134na7mTZt2i7trzeuVxs3buR73/seWVlZ3HjjjQwbNgzDMFi4cCG/+MUv+Oc//7nbx+gu27YxTRNNk7clQghxoJKKKSGS7rjjDlwuF88//zzf/va3GTp0KGVlZZx00knMmTOHKVOmAIny17/85S/86Ec/YuzYsTz66KNAovLhzDPPZPTo0Zx44omdPhFtaWnhlltu4ZhjjuGII47gkksuYdWqVc7jqVLVefPmMWXKFMaPH891111HKBTas98IIfpYS0sLixcv5qc//SnHHHMMAwcOZMyYMUybNi0t/G1paeG2225j4sSJjB49mqlTp/Lmm286j//rX//itNNOY9SoUUyZMoXHH3/ceeziiy9m06ZN3HfffU61wgcffMDPf/5zWltbnfsefPBBIL26yrZtHnzwQaeaq7KykrvvvjvtHKLRKD//+c8ZN24ckydP5q9//etOz3vixIkUFBQwe/bs7W7T2NjI9ddfz6RJkzj88MM5/fTTWbBggfP4zJkz+fDDD5k7d65zDhs3buxyKt+Ovj+pc3700Ud3eB6/+tWvOPXUUzn88MM58cQT+d3vfoeu6zs9145ycnIoLCxk9OjR3HjjjdTX1/Pxxx+zfv16pk+fzsSJExk3bhxnn302ixYt6jTOhx9+mBtvvJEjjjiC2267zfl3csYZZzB8+HAuvvhiPvroI0aOHEldXV3a8++55x6+//3v93jMQvSWVHA8cOBAvv/97zNx4kTeeOONLrft7s9E+2rQr7/+mgsvvJDRo0fz7W9/m3fffXenY/rFL36Boig899xznHrqqVRUVHDIIYfwwx/+kL/97W8A/PznP+8Unum6zrHHHstzzz0HJK61d911F/fccw9HHnkkEydO5G9/+xvhcNi5tpx88sm8/fbbzj5S16u3336bs846i9GjR7NkyZIuK0HuueceLr744p2ejxAHoosvvpi7776bX/7ylxx11FEcd9xxzuualO5cH2pqarj22muZMGECRx11FNOnT2fjxo3O46mfzYceesh5H3PbbbelfVBkWRazZ89mypQpjBkzhu985ztpAXfq5/69997jrLPO4vDDD+eCCy7gq6++ShvLnDlznOvfzTffTCwW6zTe5557jm9961uMHj2ab37zmzzzzDPOY6mK6n//+99cfPHFHH744XznO99h2bJlzji291pQ9C8JpoQg8Wbw3Xff5cILLyQQCHS5jaIozp8feughTj75ZObPn8/ZZ5/N4sWLuemmm7jkkkt45ZVXuPPOO3nhhRec0Arg2muvZevWrTz22GO88MILjBw5kh/84AdpFSLr16/n9ddf59FHH2X27Nl89NFHPPbYY3123kL0h0AgQCAQ4LXXXttu9YtlWVxxxRUsXbqUX/3qV7zyyivccMMNqGri19Znn33GT37yE7797W8zf/58rrnmGn7/+9/zwgsvAImgt7i4mBkzZrBw4UIWLlzovMjJzMx07rvssss6Hftf//oXTz75JL/4xS/497//zf/+7/8ybNiwtG2eeOIJRo0axbx58/j+97/PHXfc0enFVUeqqnL99dfz9NNPs3nz5i63icfjjBw5kjlz5rBgwQLOO+88brzxRj755BMAbrnlFsaNG8d5553nnENJSUmn/ezs+9Pd88jIyOC+++7j5Zdf5pZbbuG5557b7f5aPp8PSLzBDYfDHH/88Tz55JO8+OKLTJo0iR/96EdUV1enPefxxx/n0EMPZd68eVx11VXOm+Inn3yShQsX8uCDD3LkkUcyaNAg/vGPfzjP03XduU4Lsbfwer3bDXi7+zORYlkWP/7xj3G73Tz33HP84he/4IEHHtjh8ZuamnjnnXe2+5onVcl47rnn8s4777BlyxbnsbfeeotoNMq3v/1t574XX3yR3NxcnnvuOS666CLuuOMOrr32WsaNG8eLL77Icccdx4033tipJcKvf/1rbrjhBl555ZUeT2kWQiS8+OKLBAIB/va3v/Gzn/2Mhx9+2AmfunN90HWdyy+/nIyMDJ555hn+7//+j0AgwP/8z/+kvUZ77733WLt2LU899RS/+c1v+M9//sPDDz/sPD579mzmzZvHL37xC15++WUuvfRSfvazn/Hhhx+mHe+3v/0tM2fO5Pnnn8flcnHzzTc7j73yyis8+OCDXHfddTz//PMUFhbyl7/8Je35L730Er///e+57rrreOWVV7j++uv5wx/+wIsvvtjpOJdffjnz5s1jyJAh3HDDDRiG0e3XgmLPk2BKCBKBkG3bVFRUpN1/9NFHM27cOMaNG8evfvUr5/6pU6dy9tlnU1ZWRmlpKQ899BBXXnklZ555JmVlZRx33HFce+21PPvsswAsXryYTz75hD/84Q+MHj2aIUOGcNNNN5GVlcW//vUvZ7+2bXPfffcxbNgwJkyYwHe+8x3p9SD2O5qmcf/99zNv3jwmTJjABRdcwG9+85u0CsJFixbxySef8OCDD3LcccdRVlbGCSecwPHHHw8kApVjjz2Wq6++moqKCs466ywuvPBC/vSnPwGJCh2Xy0VGRgaFhYUUFhbi8XgIBoMoiuLcl5GR0Wl8NTU1FBQUMHHiREpLSxkzZgznnXde2jbf+MY3uPDCCykvL+eKK64gNzeXDz74YKfnfvLJJzNixAj+8Ic/dPl4UVERl19+OSNGjKCsrIyLL76YSZMm8eqrrwIQDAZxu934fD7nHFwuV6f97Oz7093zuOqqqzjiiCMYNGgQU6ZM4bLLLnPGsitaWlr43//9XwKBAGPGjOHQQw/lggsuYNiwYQwZMoSf/OQnDB48uFM1yTHHHMNll13G4MGDGTx4sDOVKVWJlZOTA8A555yTFr69+eabxGIxvvWtb+3ymIXoLbZts2jRIhYuXMjRRx/d5Tbd/ZlIWbRoEV999RWzZs3i0EMP5cgjj+S6667b4ThSr3kOOuigHW53xBFHUFFRkRb2Pv/883zzm99Mu3YeeuihXHXVVQwZMoRp06bh9XrJzc3lvPPOY8iQIVx99dU0NTWxevXqtP3PmDGD4447jsGDBzs/w0KInhk+fDjXXHMNQ4YM4YwzzmDUqFHOe4fuXB9eeeUVLMvinnvuYfjw4QwdOpT77ruPmpqatFDJ4/Fw7733csghhzB58mRmzJjB3LlzsSyLeDzO7Nmzuffee5k0aRJlZWWcddZZfOc73+lUiX3ddddx1FFHcfDBB3PllVeybNkypypq7ty5nHPOOZx77rkcdNBBXHfddRx88MFpz3/wwQeZOXMmp5xyCmVlZZxyyin84Ac/6HScyy67jMmTJ1NRUcGMGTPYtGkT69at6/ZrQbHnyWRuIXbg73//O5Zl8dOf/jTtU4NRo0albbdq1SqWLl2aViFlmiaxWIxIJMLq1asJh8OdXohGo1HWr1/v3B44cCCZmZnO7QEDBrB169bePi0h+t2pp57K5MmTWbx4McuXL+edd97hj3/8I3fffTdnnXUWK1eupLi4uFNYnPLVV1916vl2xBFHMHfuXEzT7DKs6a5vfvOb/PnPf+akk05i0qRJHH/88Zxwwglp/U/af7qvKAoFBQXd/ln96U9/yg9+8AMuv/zyTo+Zpsmjjz7KP//5T2pra9F1nXg87lQZdVd3vz87O49XXnmFuXPnsmHDBsLhMIZhpF2juuuCCy5AVVXC4TBlZWX87ne/o6CggLa2Nh566CHeeust6urqME2TaDTaqTqk4zV3e8466yx+//vfs3z5csaOHcsLL7zAt771re1WwgqxJ7z11luMGzcOXdexbZupU6fy4x//uMttu/szkbJ27VqKi4spKipy7hs3btwOx2PbdrfHfu655/LXv/6VK664gvr6et555x3+/Oc/p23T/jricrnIyclJqzItKCgA6HSNHD16dLfHIYToWsdqw8LCQudnrTvXh1WrVrF+/XqOOOKItPtjsVjae5Thw4fj9/vT9hMOh6mpqSEcDhOJRDpVHum6zogRI7Y73lRvzK1bt1JaWsratWu54IIL0rYfO3as84FZOBxm/fr13HLLLfy///f/nG0Mw+i0+EtXx2loaGDo0KGIvZMEU0IAgwcPRlEUqqqq0u4vKysD6PSmsOObnHA4zI9//GNOOeWUTvv2er20tbVRWFjIU0891enx9hfSrhp/9uQFpBD7Eq/Xy3HHHcdxxx3H1VdfzS233MKDDz7IWWed1eMgpjeVlJTwz3/+k0WLFrFo0SJ+8Ytf8Kc//YmnnnrKWeig48+qoijd/lk98sgjqays5Ne//jVnnXVW2mN/+tOfmDt3LjfffLPzIvDee+/dpb5O3bGj81i2bBk//elP+fGPf0xlZSXBYJCXX36ZJ554osfH+e1vf8vBBx9MTk5OWsPzWbNmsWjRIm666SYGDx6Mz+djxowZnc63/YvhHcnPz+eEE07ghRdeYNCgQbzzzjvMnTu3x+MVojcdffTR3HHHHbjdbgYMGLDDJt/d/ZnYHeXl5SiKstPpxwDf/e53eeCBB1i2bBnLli1j0KBBnVaz6uo60v6+VCuEjtfIjj/XXV1Hd2f1QiEOBLvzegQS72FGjhzZ5RTg7i60EA6HgcR0vvYhGCQqrbY33tS1wbKsHh3nrrvu4vDDD097LNXqIaX9wlQ9PY7oHxJMCQHk5uZy3HHH8fTTT3PRRRf1+NP1ww47jKqqKsrLy7t8fOTIkdTX1+NyuRg0aFBvDFmI/c7BBx/Ma6+9BiQ+6dq8eTNVVVVdVk0ddNBBLF26NO2+pUuXMmTIEKcayO12d3oR4na7MU1zp2Px+XxMmTKFKVOm8P3vf59vfetbfPHFF4wcOXJXTy/NDTfcwBlnnNHp3JYuXcqJJ57Id7/7XSDxIurrr79O+4Svq/PqqDvfn51ZtmwZpaWlTJ8+3blve1UbO1NSUsLgwYO7PMaZZ57JySefDCSqRTZt2rTT/aVecHb1d3nOOedwww03UFRURFlZGePHj9+lMQvRW/x+/3ZfH3TU05+JoUOHsnnzZrZs2cKAAQMAWL58+Q6PkZOTQ2VlJc888wwXX3xxp9c8LS0tToCcm5vLSSedxAsvvMDy5cs7hem9KS8vjy+//DLtvpUrV8rKx0Lsou5cH0aOHMmrr75Kfn7+DiuiV69eTTQadT44XL58OYFAgJKSErKzs/F4PFRXV3PUUUft1ng//vhjzjjjDOe+jz/+2PlzQUEBAwYMYMOGDXznO9/Z5eN097Wg2LOkx5QQSbfffjumaXL22WfzyiuvsHbtWr766iv+8Y9/8NVXX+3wzdzVV1/NP/7xDx566CG+/PJL1q5dy8svv8xvf/tbILEa19ixY7n66qtZuHAhGzduZOnSpfz2t7/l008/3VOnKMReobGxkUsuuYR//OMfrFq1ig0bNvDqq6/yxz/+0Zl+dtRRRzFhwgRmzJjBu+++y4YNG3j77bf573//CyR6B7z33ns8/PDDVFVV8eKLL/LMM8+klZEPHDiQjz76iNraWhoaGpz7wuEw7733Hg0NDZ2a8QK88MILPPfcc3zxxRds2LCBl156CZ/PR2lpaa99D4YPH87pp5/eqYqyvLycRYsWsXTpUtauXcttt91GfX192jYDBw7k448/ZuPGjTQ0NHQZUnXn+7Mz5eXl1NTU8PLLL7N+/Xrmzp3rBIe9pby8nP/85z+sXLmSVatWccMNN3TrE838/Hx8Ph/vvPMO9fX1tLa2Oo9NmjSJzMxMHnnkkT59Ey1EX+jpz8TEiRMZMmQIM2fOZNWqVSxevNh57bEjt99+O5Zlce655/Kvf/2Lr7/+mrVr1zJ37lzOP//8tG3PPfdcXnzxRdauXZv2hrG3HXPMMXz22WfMmzePr7/+mj/84Q+dgiohRPd15/pw+umnk5uby/Tp01m8eDEbNmzggw8+4O67705bqCUej3PLLbewZs0a3n77bR588EEuuugiVFUlMzOTyy67jPvuu48XX3yR9evXs2LFCp566qlOTcl35JJLLuH555/n+eefp6qqqstrwIwZM5gzZw5z586lqqqK1atX8/zzz/eomrs7rwXFnicVU0IkDR48mBdffJHZs2fz61//mtraWtxuNwcffDCXXXbZDpcbnzRpEo8++igPP/wwjz32GJqmcdBBB3HuuecCiRLSOXPm8Lvf/Y6f//znNDY2UlBQwIQJE5zeC0IcKDIyMjj88MP585//zPr16zEMg+LiYs4991x+9KMfOds9+OCDzJo1i+uvv55IJEJ5eTk33HADkPiE73e/+x1/+MMfeOSRRygsLGTGjBlpQcSMGTO47bbbOOmkk4jH46xevZojjjiCCy64gJ/85Cc0NTVxzTXXdOr1kpWVxZw5c7j//vuxLIthw4bx6KOPkpub26vfhxkzZvDKK6+k3Td9+nQ2bNjA5Zdfjt/v57zzzuOkk05KC14uu+wyZs6cyWmnnUY0GuX111/vtO/ufH925sQTT+QHP/gBd955J/F4nMmTJzN9+nQeeuihXT/pDmbOnMnNN9/MBRdcQG5uLldccQVtbW07fZ6madx66608/PDD/OEPf2DChAlOyKeqKmeeeSazZ8/u0zfRQvSFnv5MqKrKQw89xC233MI555zDwIEDufXWW/mf//mfHR6nrKzMWT141qxZbNmyhby8PEaOHMkdd9yRtu3EiRMZMGAABx98cKdpOr1p0qRJXHXVVfzqV78iFotx9tlnc8YZZ/DFF1/02TGF2J915/rg9/t5+umneeCBB7jmmmtoa2ujqKiIY489Nq2C6thjj6W8vJwLL7yQeDzeqVfeT37yE/Ly8pg9ezYbN24kGAxy2GGHpb2u25lvf/vbrF+/3rkGnHrqqXzve99j4cKFzjbnnnsuPp+PP/3pT/zyl78kEAgwbNgwfvCDH3T7ON15LSj2PMWWBjZCCCGE2I/cfPPNNDQ0pC1IIYTYNW1tbXzjG9/gvvvu67KXphBi/zZz5kxnVV0h+opUTAkhhBBiv9Da2srq1atZsGABjzzySH8PR4h9mmVZNDY28vjjj5OVlcWUKVP6e0hCCCH2UxJMCSGEEGK/cNVVV/HJJ59wwQUXcNxxx/X3cITYp1VXV3PiiSdSXFzM/fffv8PVBIUQQojdIVP5hBBCCCGEEEIIIUS/kFX5hBBCCCGEEEIIIUS/kGBKCCGEEEIIIYQQQvQLCaaEEEIIIYQQQgghRL+QYKoP2LZNKBRC2ncJIXqLXFeEEH1Bri1CiN4m1xUhRE9JMNUH2traGD9+PG1tbf09FCHEfkKuK0KIviDXFiFEb5PrihCipySYEkIIIYQQQgghhBD9QoIpIYQQQgghhBBCCNEvJJgSQgghhBBCCCGEEP1CgikhhBBCCCGEEEII0S8kmBJCCCGEEEIIIYQQ/UKCKSGEEEIIIYQQQgjRLySYEkIIIYQQQgghhBD9QoIpIYQQQgghhBBCCNEvJJgSQgghhBBCCCGEEP1CgikhhBBCCCGEEEII0S8kmBJCCCGEEEIIIYQQ/UKCKSGEEEIIIYQQQgjRLySYEkIIIYQQQgghhBD9QoIpIYQQQgghhBBCCNEvJJgSQgghhBBCCCGEEP1CgikhhBBCCCGEEEII0S8kmBJCCCGEEEIIIYQQ/UKCKSGEEEIIIYQQQgjRLySYEkIIIYQQQgghhBD9Yq8Jpj766CN+9KMfUVlZyfDhw3nttdfSHrdtm9///vdUVlYyZswYLr30Ur7++uu0bZqamrjhhhs44ogjmDBhAjfffDNtbW1p26xatYrvf//7jB49muOPP57HHnus01heffVVvvnNbzJ69GhOP/103n777V4/XyGEEEIIIYQQQogD3V4TTIXDYYYPH87tt9/e5eOPPfYYTz31FHfccQd/+9vf8Pv9XH755cRiMWebn/70p6xZs4YnnniCRx99lMWLF3Pbbbc5j4dCIS6//HJKS0t54YUXuPHGG3nooYf461//6myzdOlSbrjhBs455xzmzZvHiSeeyNVXX80XX3zRdycvhBBCCCGEEEIIcQDS+nsAKccffzzHH398l4/Zts3cuXOZPn06J510EgC//OUvmThxIq+99hqnnXYaa9eu5Z133uHvf/87o0ePBuDWW2/lyiuv5MYbb6SoqIiXXnoJXde599578Xg8HHLIIaxcuZInnniC888/H4C5c+cyadIk/ud//geAn/zkJyxatIinn36aO++8s8vxxeNx4vG4czsUCvXa90UIcWCS64oQoi/ItUUI0dvkuiKE2F17TTC1Ixs3bqSuro6JEyc69wWDQQ4//HCWLVvGaaedxrJly8jKynJCKYCJEyeiqiqffPIJJ598MsuXL2fChAl4PB5nm8rKSh577DGam5vJzs5m+fLlXHrppWnHr6ys7DS1sL3Zs2fz0EMP9d4JCyEOeHJdEUL0Bbm2CCF6m1xXhBC7a58Ipurq6gDIz89Puz8/P5/6+noA6uvrycvLS3tc0zSys7Od59fX1zNo0KC0bQoKCpzHsrOzqa+vd+7r6jhdmTZtGj/84Q+d26FQaLvVX0II0R1yXRFC9AW5tggheptcV4QQu2ufCKb2dh6PJ60KSwghdpdcV4QQfUGuLUKI3ibXFSHE7tprmp/vSGFhIQBbt25Nu3/r1q1OdVNBQQENDQ1pjxuGQXNzs/P8goKCTpVPqdvt99Nxm/bHEUIIIYQQQgghhBC9Y58IpgYNGkRhYSHvvfeec18oFOLjjz9m3LhxAIwbN46WlhY+++wzZ5v3338fy7IYM2YMAGPHjmXx4sXouu5ss2jRIioqKsjOzna2ef/999OOv2jRIsaOHdtXpyeEEEIIIYQQQghxQNprgqm2tjZWrlzJypUrgUTD85UrV1JdXY2iKFxyySU88sgjvP7666xevZobb7yRAQMGOKv0DR06lEmTJvH//t//45NPPmHJkiXcddddnHbaaRQVFQFw+umn43a7ueWWW/jyyy955ZVXmDt3btqc6EsuuYR33nmHxx9/nLVr1/Lggw/y2WefcdFFF+35b4oQQgghhBBCCCHEfmyv6TH12Wefcckllzi377vvPgDOPPNM7r//fq644goikQi33XYbLS0tjB8/nj/+8Y94vV7nOQ888AB33XUXP/jBD1BVlVNOOYVbb73VeTwYDPKnP/2JO++8k7POOovc3Fyuuuoqzj//fGebI444ggceeIDf/e53/OY3v2HIkCE8/PDDDBs2bA98F4QQQgghhBBCCCEOHIpt23Z/D2J/EwqFGD9+PEuWLCEzM7O/hyOE2A/IdUUI0Rfk2iKE6G1yXRFC9NReM5VPCCGEEEIIIYQQQhxYJJgSQgghhBBCCCGEEP1CgikhhBBCCCGEEEII0S8kmBJCCCGEEEIIIYQQ/UKCKSGEEEIIIYQQQgjRLySYEkIIIYQQQgghhBD9QoIpIYQQQgghhBBCCNEvJJgSQgghhBBCCCGEEP1CgikhhBBCCCGEEEII0S8kmBJCCCGEEEIIIYQQ/UKCKSGEEEIIIYQQQgjRLySYEkIIIYQQQgghhBD9QoIpIYQQQgghhBBCCNEvJJgSQgghhBBCCCGEEP1CgikhhBBCCCGEEEII0S8kmBJCCCGEEEIIIYQQ/UKCKSGEEEIIIYQQQgjRLySYEkIIIYQQQgghhBD9QuvvAYies2yLZY3rqI+3UuAJMi63HFWRjFEIIYQQQgghhBD7Fgmm9jFv1K5g1qr5rG6tQbcM3KrGsMxizhp0JBWZAySoEkIIIYQQQgghxD5Dgql9yBu1K5i+5HFa9Sh5ngws1U2jHubtulW8XbeSoOYn0+1jeLCEmw49nSlFI/t7yEIIIYQQQgixQ7ZtU1NTQzgcJhAIUFJSgqIo/T0sIcQeIsHUPsKyLWatmk+rHiVL87Ex0kDYiGNiOdtEzTjF/mw+bdrA9CWP88j4yyScEkIIIYQQQuy1qqqqWLhwIfX19ViWhaqqFBQUUFlZSUVFRX8PTwixB+z2fK9QKMRrr73G2rVre2M8YjuWNa5jdWsNPpeb9ZGthI0YdrtQCiBi6bQZMQb6c2nVo8xaNR/LtrazRyGEEEIIIYToP1VVVSxYsIDa2lo8Hg+ZmZl4PB5qa2tZsGABVVVV/T1EIcQe0ONg6tprr+Xpp58GIBqNcvbZZ/OTn/yE73znO/zrX//q9QGmTJkyheHDh3f6+sUvfgHAxRdf3Omx2267LW0f1dXVXHnllRx++OEce+yxzJo1C8Mw0rb54IMPOPPMMxk1ahQnn3wyL7zwQp+dU0/Ux1uJmzoN8RCmbaEpLmxAAVQUFBKlrnWxVlAgz5PJ6tYaljWu69dxCyGEEEIIIURHtm2zcOFCYrEYwWAQt9uNoii43W6CwSCxWIyFCxdi23Z/D1UI0cd6PJVv8eLFTJ8+HYD//Oc/2LbNRx99xIsvvsgjjzzCqaee2uuDBPj73/+OaZrO7S+//JIf/vCHfPOb33TuO++885gxY4Zz2+/3O382TZNp06ZRUFDAs88+y5YtW7jppptwu91cf/31AGzYsIFp06ZxwQUX8MADD/Dee+9x6623UlhYyKRJk/rkvLqrwBMERSFi6miKig3YNmybeZ24YMctg4ZYGzkeP426QX28tZ9GLIQQQgghhBBdq6mpob6+Hr/f36mflKIo+P1+6uvrqampoaSkRHpQCbEf63Ew1draSnZ2NgDvvPMOp5xyCn6/n8mTJ/OrX/2q1weYkpeXl3Z7zpw5DB48mKOOOsq5z+fzUVhY2OXzFy5cyJo1a3jiiScoKChgxIgRXHvttTzwwANcc801eDwenn32WQYNGsTMmTMBGDp0KEuWLOHJJ5/s92BqXG45pb4c6qItKIoG2E4oZWOT+hzBtC02RrayJaaRqfkSgZYQQgghhBBC7EXC4TCWZaFpXb8l1TSNaDTKV199xeuvvy49qITYj/V4Kl9JSQnLli0jHA7zzjvvcNxxxwHQ0tKCx+Pp9QF2JR6P89JLL3H22WenJeXz58/n6KOPZurUqfz6178mEok4jy1fvpxhw4ZRUFDg3FdZWUkoFGLNmjXONscee2zasSorK1m+fPlOxxMKhdK+epuqqPzPQSegKgpxy0xWSymJyqkO2yokKqtajSiN8bZeH4sQou/tieuKEOLAI9cWIURv29XrSiAQQFXVTq1VUgzDwLIsPvroI+lBJcR+rscVU5dccgk/+9nPnBLKo48+GoCPPvqIYcOG9foAu/Laa6/R2trKmWee6dw3depUSktLGTBgAKtXr+aBBx6gqqqKhx56CID6+vq0UApwbtfV1e1wm1AoRDQaxefzdTme2bNnO8fpS1cOncKfqt7is6YNydX4Os+3VkhUUHlUFz7Vza9WL2BK0WGoym73uRdC7EF76roihDiwyLVFCNHbdvW6UlJSQkFBAbW1tWiallZwYNs24XAY27YxTZNgMOg87na70TSN1tZWFi5cyJAhQ2RanxD7uB4HUxdeeCFjxoxh8+bNTJw4EVVNBB5lZWX85Cc/6e3xden555/nG9/4BkVFRc59559/vvPn4cOHU1hYyKWXXsr69esZPHhwn45n2rRp/PCHP3Ruh0Ihjj/++F4/jqqozBrzPaYveZzaaDNRU8eyzbRtFBT8Lg/ZWgDdNljc8BXPrHuXC8uPk3BKiH3InrquCCEOLHJtEUL0tl29riiKQmVlJQsWLKC1tRW/34+maRiGQSQSQVEUTNPE6/XutAdVaWlpr5+XEGLP2aWkYvTo0Rx//PHU1tY6pZeTJ09m/PjxvTq4rmzatIlFixZxzjnn7HC7ww8/HIB16xKr0hUUFFBfX5+2Tep2qi/V9rbJzMzcbrUU4JSVtv/qK1OKRnLlQVPQLRO9QygFYGETMeJsijZQG2uhSQ9zxUd/5OjXbuON2hV9Ni4hRO/ak9cVIcSBQ64tQojetjvXlYqKCqZOnUpRUZEzJTDVe8owDOLxOM3NzWzdupV4PJ72XE3TsCyLcDjc26ckhNjDehxMRSIRbr75ZsaOHcvUqVOpqakB4K677mLOnDm9PsCOXnjhBfLz85k8efIOt1u5ciWwLXQaO3YsX3zxBVu3bnW2WbRoEZmZmRx88MHONu+//37afhYtWsTYsWN77wR2k2VbPLvhPQyrcyiVYmClTfIzbJOPG9dx6YePSjglhBBCCCGE2GtUVFRw0UUXcf7553P00Uc70/pSq/Wl+lA1NTWlhVOGYaCqKoFAoB9HL4ToDT0Opn7961+zatUq5s6di9frde4/9thjeeWVV3p1cB1ZlsULL7zAGWeckbZ6w/r163n44Yf57LPP2LhxI6+//jo33XQTRx55JIceeiiQaGJ+8MEHc+ONN7Jq1Sreeecdfve733HhhRc6TdsvuOACNmzYwC9/+UvWrl3LM888w6uvvsqll17ap+fVE3PWvsnHTesxsLr9HBswsamNNjNr1Xwsu/NzLdtiSUMV/9r8CUsaqrrcRgghhBBCCCF6m6IolJSUUFVVhWmaZGVl4fP50DQN27ZRFAXbtmltbQUSPagikQgFBQWUlJT08+iFELurxz2mXn/9dX772992qiI65JBDWL9+fW+Nq0uLFi2iurqas88+O+1+t9vNe++9x9y5cwmHw5SUlHDKKadw1VVXOdu4XC4effRR7rjjDs4//3z8fj9nnnkmM2bMcLYpKytj9uzZ3HfffcydO5fi4mLuvvtuJk2a1Kfn1V2WbfHHr95wQqPUTOvOLdDTKcltjGT4tKxxHePzti2t+kbtCmatms/q1hp0y8CtagwPlnDToaczpWhkX5yKEEIIIYQQQmDbNtXV1axYsYLq6mo8Hg/xeBzDMNA0DV3XsW0bVVXRdZ1IJIKu63i9XiorK6XxuRD7gR4HUw0NDeTn53e6P9Wgri9VVlayevXqTveXlJTw9NNP7/T5AwcO5LHHHtvhNkcffTTz5s3b1SH2qSWNVawPb027b2ehVGqbVDjVakSoizU7j71Ru4LpSx6nVY+S783Eq2rELINPmzYwfcnjPDL+MgmnhBBCCCGEEL1u7dq1vPTSS7S0tDj3RaPRLre1rMSH8/F4nOLiYiorK6moqOhy291l2zY1NTWEw2FnNXoJwIToOz0OpkaNGsVbb73FxRdfnHb/c889t1f1YtrfvFG7ghs//gsN8TYnjOpOKJWS2ta0LT5qqOKU4jEAzFo1n1Y9ykB/rnOx9bs8DPTnsinSyKxV85k8YISs6CeEEEIIIYToNQsWLGDJkiXd3t62bdxuNyeffDKHH354nwVFVVVVLFy4kPr6eizLQlVVCgoK+jQIE+JA1+Ng6rrrruOKK65gzZo1mKbJ3LlzWbt2LcuWLeOpp57qizEe8FJVTZsjTdg9iqM6s4GH1/ybhfWrOXPgkaxurSHfm9nlEqx5nkxWt9awpLEKFZX6eCsFniDjcsslqBJCCCGEEELsknfffbdHoVSKrut8+umnZGdn90lIVFVVxYIFC4jFYvj9fjRNwzAMamtrWbBgAVOnTpVwSog+0ONgasKECbz00kvMnj2bYcOG8e6773LYYYfx7LPPMnz48L4Y4wHNsi3uX/kSm8PNhK34zp+wEyoKGS4fnzZt4PPmjURMnQJP10u6+lwatbEo0xc/Tn08JP2nhBBCCCGEELvFsizefvvtXX5+TU1Nn4REtm2zcOFCYrEYwWDQ+eDe7XajaRqtra0sXLiQIUOGyLQ+IXpZj4IpXde57bbbuOqqq7j77rv7akyinUfXvMFbW1Zi9mAVvh3xutzkeTPAzmBduJ6wGSdq6gQ0b6dtt8ZCtOgR1rVtpdifLf2nhBBCCCGEELvl008/Rdf1XXquoij4fD5isVivhkS2bfPJJ5+wefNmPB5Pl7NJ/H4/9fX11NTUUFpautvHFEJs06P5WG63m3//+999NRbRwa9Xvcz1y5/qtVAKINvtBxIX10JvFgC10RZsO32KoGVbbI42oaJQHsjH7/KgKqrTf6pVjzJr1XxnhUAhhBBCCCGE2Jnm5uadb7Qdtm3T2tqKbdvU1tZSXV292+Opqqri6aef5t///jeRSITm5ma2bt1KPJ4+W0XTNCzLIhwO7/YxhRDpetwo6KSTTuL111/vi7GIdl6v/YzbVzyPbpu9ut+tsRBftm6mRY/gd7nJ0Dx4VRdft9WzJdpCSI/QpsdYH96KhU2JPxdVTf9n0r7/1LLGdb06PiGEEEIIIcT+Kzs7e7eebxgG4XCYtrY2nn/+eRYvXtzpQ3ZIhFjV1dWsWbOG6urqLrdJ9ZSqra11KqVUVcUwDJqamtLCKcMwUFWVQCCwW+MXQnTW4x5T5eXlPPzwwyxdupSRI0fi9/vTHr/kkkt6bXAHKsu2uPXT54iZOm5U9F6smHIpKmEjxldtW8hxB3ApKtmeAFVt9TTpbQC4VY0yfy6WbZPnyehyPz6XRqNuUB9v7bWxCSGEEEIIIfZvo0eP5uWXX97l6XztNTY28uqrr7J06VJOPvlkp+dUd1bW69hTCiAcDmMYBoqiONVZ+fn52LZNJBKhqKiIkpIS5/k1NTWEw2ECgQAlJSXSe0qIXdTjYOrvf/87wWCQzz77jM8++yztMUVRJJjqBcsa11HVtgUFBRSF3VyIL03USv4CsG22xkMAhPUYB2UWYloWETOe6DtlGWiqi5hl4Hd5Ou/HTDRCL/AEe29wol9ZtsWyxnWy+qIQQgghhOgzqqoycuRIli9f3iv7syyLLVu2OA3RAWdlPZ/PByR6JVdXVzN//nxOP/10KioqqKmpob6+Hr/f7wRKmZmZNDc3Y9s2iqKg6zqRSARd1/F6vVRWVqIoSreCLyFE9/U4mHrjjTf6Yhyinfp4K5ZtJzKpLkpOe1ubFadFj1Lsyybo9mPbNpsijZi2SX20lUGBvLT037ZtGuIhRueUMS63vM/HJ/reG7UrmLVqPqtba2T1RSGEEEII0acGDx7ca8EUgGmaRCIRFi5ciG3bxGIxPB4Pra2tGIbhbBePx/nPf/7DFVdcQTgcxrIsNG3bW2Kv10t2djahUMh5Xjwep7i42AmdUtP/YrEYfr8fTdMwDIPa2to+WS1QiAOBlEPshQo8QQIuLx5Vw+rNcqkd2Bxtwk4eK9VDSlNceFwamyKNhI04lm0RNuJsijQSdPu46dDTpaJmP/BG7QqmL3mcT5s2ENR8lPhyCGo+Z/XFN2pX9PcQhRBCCCHEfqSurq7X9+l2u6mtrWXLli24XC5aWlqcvlCpL9u22bx5M4sXLyYQCDj9pNrzer3k5eWRlZWF3+/nlFNO4aKLLqKioqLT9D+3242iKLjdboLBoLNa4J4oLhBif9Ljiqmf//znO3z8vvvu2+XBiIRxueUMzyrh/fq2PRZMmbZFQyxEvjcxNc/rcmHaFicVjeLzlk1URxpp1E3cqsbonDKppNlPWLbFrFXzadWjDPTnOpVxqdUXN0UambVqPpMHjJAQUgghhBBC9IrGxsZe36fb7SYej2PbNrquO1PsUtPyIDGN0DRNli5dyvjx4ykoKKC2thZN0zr1h9J1neLiYsaMGeM81tX0vxRFUfD7/dTX11NTU0NpaWmvn6MQ+6seB1MtLS1ptw3D4Msvv6SlpYVjjjmm1wZ2IFMVlRsPncp3F/5mjx63JtqEW038k9gUaSBmGcyvXkrA5aXUn8sZAydwUtEo6T20H1nWuI7VrTXkezO7/OXafvXF8XlSkiyEEEIIIXZfKBTq9X3GYjFcLhemaToBlWluW+FcURTnq7W1lc2bN1NZWcmCBQtobW1Nm5YXiUTSekqldDX9rz1N04hGo4TD4V4/PyH2Zz0Oph5++OFO91mWxR133EFZWVmvDEpAjjsDr6oRMeM737iX6JbJ1211iYs4NgGXhzJ/HnHbZF1bPY9XvcWReQdJKLUfqY+3olsGXrXrS4GsviiEEGJfY1kWy9ZVUd/aSkEwyLjyClRVXrsIsTdxu929vs9oNMrgwYNpaGggGo12ety2bWzbxuVyoSgK4XCYgw8+mKlTpzqNzKPRKKqqUlRU1GUj8/bT/7o6h9TUwUAg0OvnJ8T+rMfBVFdUVeXSSy/lkksu4YorruiNXR7wXqv9jGZ9zybtFjaWnfhUwatqlPpziFoGhm2S4w7QpIdlWtd+psATxK1qsvqiEEKIvcquhktvrPiU++fPY3VNNXHDwKNpDC8pZebpZzBl5Og9MHIhRHd0rNTvDYZh0NDQgK7rO9wu1f8pFR5VVFQwZMgQampqCIfDBAIBSkpKuhxjSUnJdqf/2bZNJBKhqKiIkpKSXjwzIfZ/vRJMAWzYsKFT4zixayzb4sWNH+2h7lJdy3YH2BxtJmrp2DYoCrgVF580re/xtC7LtljWuI76eCsFnqBMBdyLjMstZ3iwhE+bNqT1mAJZfVEIIUT/2NVw6Y0VnzLt8Tm0RiPkZwbxahoxw+CTDeuY9vgcZl92pYRTQuwFbNumtra2T/bd1NS0020sy0LX9bSqKkVRutUTSlGUHk//E0LsXI+DqY7NzW3bpq6ujrfeeoszzzyz1wZ2IFvWuI6v23p/pYqe2BoPoaCgKSqKqiSWXTUNYlaI12o/224w1TGEatLb+OWqBaxurUG3EtU3w4Ml0jx9D9pRMKgqKjcdejrTlzzOpkgjeZ5MfC6NqGnQEA/J6otCCCH2qF0NlyzL4v7582iNRhiYm7dtMQ+Ph4G5eWxqbOD++fOYPGKkTOsTop/V1NQQiUT6dQy2bfPyyy8zderUTtP1dqaioqJH0/+EEDvX42Dq888/T7utqip5eXnMnDmTs88+u9cGdiCrj7cStXZcgtrXTNvC7/KQyvoVRcGtqsQtk3mbFvOzQ0/rFFa8UbuCWavmOyGUaduEjCg+1U2JPwdvcsrYp00bmL7kcR4Zf5mEU32s499JV8HglKKRPDL+Mme7Rt2Q1ReFEEL0mu5Oy9udcGnZuipW11STnxnsejGPzExW11SzbF0V4yuG9t3JCiF2qq2tDcuy+u34qqoSDAaJRqMsXLiQIUOG9LjCqSfT/4QQO9fjYOqpp57qi3GIdgo8QVx7QYVK+6VVbdvGsG18Lg/VkcZO0/neqF3B9CWP06pHyfdm4lFcfBmqJWrqmJaJbpn4XR78Lg8D/blsijRKv6o+1vHvZEfB4JSikUweMEKmXAohhOhVPZmWtzvhUn1rK3HDwLudlbJ8mptGo436VlnMQ4j+tqdXrFNVNe09jaZpeDweFEWhvr6empqabk3j66i70/+EEDvX43edl1xyCS0tLZ3uD4VCXHLJJb0yqAPduNxyAkrvr1TRU4ZlYts2lm2h2xYuRaHUl41hm2mrtFm2xaxV82nVowz05+J3eYhaBnHLwKu6sIDN0SbsZNcsRVHI82SyurWGZY3r+uns9m9d/Z2oiuoEg616lFmr5mPZ2z6tUhWV8XkVnFo8hvF5FRJKCSGE2C2paXmfbFhHps9HSU4OmT6fMy3vjRWfpm3fnXApbhhdhksFwSCe5LS/rkQNHY+mURCUxTyE6G/9sWKdoijOh+7B5HVA0zQsy9rjQZkQorMev/P88MMPu1zpIBaLsWTJkl4Z1IHu9drPqIk398ux238+aWOj2xambeN3uRkcKMCtujut0rascR2rW2vI92Y6n0YYtokNTp+qqKUTNuLOc3wuDd0y0gIu0Xu6+jtJkWBQCCFEX+s4Lc/v8aCqqjMtrzUa4f7587AsC8uyWFK1li831wAQ3c6KWjsKl8aVVzC8pJStoVZnxa0U27ZpCIUYXlLKuHLp/SJEf8vIyNgjvd5cLheAc53RNI2cnBw8nsRK1IZhoKpqvwRlQoh03Z7Kt2rVKufPa9asoa5uW3Nuy7J45513KCoq6t3RHYDeqF3BDz6Y3W8r8rU/rolNvuan0JdFwJW4gG+KNHZapa0+3opuGXjVbf+cNMWFQiLcUhQV20qEVSlR0+gUcIne09XfSXs+l0ajLsGgEEKIvtHdaXlz3vwPL3z0IatqNhGOxWiJRKgPtTIkv4DsjAznOalwaUxZeZfhkqqqzDz9DKY9PodNjQ3kZWbi09xEDZ2GUIgsn5+Zp58hjc+F2AuUlJT0+TE0TcPtdmNZFoqikJGR4QRSkLimRCIRioqK9sh4hBA71u1g6owzzkBRFBRF4Qc/+EGnx30+H7feemuvDu5Ak5p+FTHjlAcKaNLDNOv9W1q6VQ/hcblRUGiIh/CoLqYMGMmyxnVOD6ICTxB3sn+RPxlgBVwefC43EVPHZVsoSiKsguSLy3ioU8Alek9XfyftSTAohBCiL3VnWt7maBN3vfg8ET1OTDfQDQPTtrBsmzVbahmQlcXA3Lxuh0tTRo5m9mVXOj2tGo02PJrGmLLyLntaCSH6T182P1cUBU3T8Pv9jB8/niVLlhCNRp37DcMgEong9XqprKyUhuVC7AW6HUy9/vrr2LbNSSedxHPPPUdeXp7zmNvtJj8/3ymXFLsmNf2qwBPEpaoM8GaRqfmojTanVRvtaZujjeiWTtwyiVjw69Uv879r/sOhWaXcdOjpTB4wguHBEj5t2sBAf64TYBb7clgfridumfhVNz6XRtiI0xAPEXT7uOnQ06WPUR8Zl1ve6e8kRYJBIYQQfa19zye/p/MHJBE9TjgexzAtYnocC9BcKpriwjASi6ZsaWkhbhhk+QPdDpemjBzN5BEju7UKoBCif9TU1PTZvhVFwe/3U1xcTGVlJRUVFZSUlLBw4ULq6+uJRqOoqkpRUZHzuBCi/3U7mBo4cCCQPqVP9K7U9KsSfxaNeoQtsRbyPBmUZxRQH2vtt+opG2iKhzGxUBUVFYWoqbOkocpZ3e2mQ09n+pLH2RRpJM+Tic+loSkuAi4vqqKTqfnYHG3GrWqMzinjpkNPd1aEE71PVdQu/06ipiHBoBBCiD6X6vn0yYZ1DMzNcxoPJ8Iogy0tLWCDaVlYgKfdh5tuzYXLUoibJsVZOcydfg3jK4Z2O1xSVbXTqn19zbIsCcOE6KZwOIyqqr1eNZWdnc1pp51GRkYGJSUlzgezFRUVDBkyhJqaGsLhMIFAwHnctu0u7xdC7FndDqY6WrNmDdXV1Z0aoZ944om7PaiuPPjggzz00ENp91VUVPDPf/4TSDRfv//++3nllVeIx+NUVlZy++23U1BQ4GxfXV3NHXfcwQcffEAgEOCMM87ghhtuQGtXZv7BBx9w//338+WXX1JSUsL06dM566yz+uScOirwBNEUF1Xheizbps2I0qJHKPQGGeDNIqj5qI01o1t7vnrKwMKnaigo2NjELCNRxRWDWavm8+o3buSR8Zcxa9V8VrfW0KgnpoqNz6vgZ8OnkuvJoD7eSoEn6EwBFH1rStHILv9OJBgUQgjR1zr2fPK63TSGQkR03XkzqigKhmng7mK6X6r6emtbCFVV9+qQ540VnzrTB+OGgUfTGF5SutdPH5QwTfSXQCCAx+MhGo322j5VVeWoo47ikEMO6fJxRVEoLS1Nu6+qqsqppLIsC1VVKSgokEoqIfpBj4OpDRs2cPXVV/PFF184KTPgJMsrV67s3RG2c8ghh/DEE084t9tPHbz33nt5++23+d3vfkcwGOSuu+7immuu4dlnnwXANE2mTZtGQUEBzz77LFu2bOGmm27C7XZz/fXXO+c2bdo0LrjgAh544AHee+89br31VgoLC5k0aVKfnVfKuNxy/C4PGyMNafdvibXQokco9udQHihgazxEY7ytz8fTngsl8T8l8V93csW+mGWwqqWaZY3rmFI0kskDRrCscZ2EUHsJ+TsRQgjRX1I9n278v6f5eP3XWLaNqqgEPF4yfT5qW5qxbRvNtqFDhYJt26iKgmVb1LfuvQt1vLHiU6Y9PofWaIT8zCDe5PTFTzasY9rjc5h92ZV7ZTi1r4ZpYv9QUlLSafXM3eV2u1myZAklJSXdCpWqqqpYsGABsVgMv9/v9J6qra1lwYIFTJ06VcIpIfagHr87veeeexg0aBCLFi3C5/Px8ssv8/TTTzNq1Cieeuqpvhijw+VyUVhY6Hyl+ly1trby/PPPM3PmTI499lhGjRrFvffey7Jly1i+fDkACxcuZM2aNfzqV79ixIgRHH/88Vx77bU888wzxONxAJ599lkGDRrEzJkzGTp0KBdddBGnnnoqTz75ZJ+eV4qqqHyr5PAuH4taOl+31VEfS4QL5YGCLpta9xUzWSWlW4nGpDY2LkC3DCJm3FndTVVUxudVcGrxGMbnVUgAsheQvxMhhBD9ZfKIkeRmZpDlD3BQ4QAOKS5meEkppbm5+N1uAOKGkfYc27YxbBu3phHweCkI7p0LdViWxf3z59EajTAwNw+/x4Oqqvg9Hgbm5tEajXD//Hl92uR5V6TCtE82rCPT56MkJ4dMn88J095Y8Wl/D1EcAGKxWK/tS1EUAoEAsViMhQsX7jT0sm2bhQsXEovFCAaDuN1uFEXB7XYTDAa7vR8hRO/p8TvUZcuWMWPGDPLy8lBVFUVRmDBhAtdffz133313X4zRsW7dOiorKznxxBO54YYbqK6uBuCzzz5D13UmTpzobDt06FBKS0udYGr58uUMGzYsbWpfZWUloVCINWvWONsce+yxacesrKx09rE98XicUCiU9rWrfjP2IibmHYJH7bqYrUkP82VoM016mBJfDsW+HFx7KGiw2lVJxSwD3bYw7cQSrLK6mxC9qzevK0IIkbKnry3L1lXxRU0NxTk5ZGdkEPB6QUm8kRyYm4dCopelYVnYto1lWeiWhUtR8Goah5YOZFz53lm1sGxdFatrqsnPDHbqSaMoCnmZmayuqWbZuqp+GmFn+2qYJvZuPb2ubNq0qVePb9s2pmni9/upr6/faXP1mpoa6uvr8fv9Xf7sdnc/Qoje0+OpfJZlkZGRAUBubi5btmzhoIMOYuDAgVRV9d0v3jFjxnDfffdRUVFBXV0dDz/8MBdeeCHz58+nvr4et9tNVlZW2nPy8/Opq6sDoL6+Pi2UApzbO9smFAoRjUbx+Xxdjm327Nmd+l/tKkVROG3gOLbEWqiONhE2u/40oVkP06yHydR8FPmyadOjNBuRXhlDd9iATeJThAJPpqzuJkQv683rihBCpOzpa0t9aytxw8DbRR+prECAkpxcqpsa0U0TU1FQFQWPpuHVNAoyg8w8/Yy9tu/Rjs4NwKe5aTTa9qqpiD0J0/Z0A3mx7+rpdeXzzz/v9TFEo1H8fj+WZREO73jBqHA4jGVZaX2G29M0jWg0utP9CCF6T4+DqUMOOYTVq1dTVlbG4Ycfzh//+Efcbjd/+9vfKCsr64sxAnD88cc7fz700EM5/PDDOeGEE3j11Ve3GxjtKdOmTeOHP/yhczsUCqWNt6fK/HnotslAfy42NhFTp1lvI2zEsUgvKQ0ZUUJGFLfiIscdIG6Z2w2z+krA5d2jxxPiQNDb1xUhhIC+v7Z0bKidl5GBJ9l3ye/p3IIgOyOAbhoUZedQ29yMZVsEPF4OLR3IzNPPYPKIkXy09ks+WJuobj966CGMrzhorwirCoLBHZ5b1NDxaNpeNRVxXwzTxN6vp9eVVBuV3qIoCoZhOJVafr9/h6vtBQIBVFXFMAzcySnF7RmGgaqqBAKBXh2nEGL7ehxMTZ8+nUgkUZkzY8YMpk2bxoUXXkhOTg6//e1ve32A25OVlcWQIUNYv349EydORNd1Wlpa0qqmtm7dSmFhIZCofPrkk0/S9lFfXw+Qtk3qvvbbZGZm7jD88ng8eLp4QbKrzh98DFcteYKoZRDQPPhdHgq9WWg+F1FTpyEeImzG0iIq3TZp0hOpvt/lBlshYvXuRb8jBYVCb5C6eCvLGtcxPm/vLLUXYl/U29cVIYSAvr22dNVQe1hJCYXBLDY2bk1M3WtXpWPbNg2hEGPLK3jlpz/n4w3r0laIe2vlCo667ed8tmkDerIPlUfTGDmwjF9+76J+b9I9rryC4SWlfLJh3XbPbUxZ+V41FXFfDNO6YlkWn2xYR0MoRHYgICsK9rOeXlfKyspYsmRJrx3ftm1s26atrQ1VVZk/fz6qqtLW1tblanslJSUUFBRQW1uLpmmdfnYjkQhFRUWUlJT02hiFEDvW42Cq/ep05eXl/POf/6SpqYns7OxOJcF9qa2tjQ0bNlBYWMioUaNwu9289957nHrqqQB89dVXVFdXM3bsWADGjh3Lo48+ytatW8nPzwdg0aJFZGZmcvDBBzvb/Pe//007zqJFi5x97CmaqnFZxWT+sOZftOgRWvREEOhWXWS4vOR4MihWs2kzYjTpYaKWnvb8iJm47VJUPKqGYZnottmrY3QrLoZkFJKpeamJNjnNz4UQQnRm2zZYW8COgOIHdcAe/Z0pRF/b3up0n25Yj6a6cKkqmxobyMvMxKe5iRo6DaEQWT4/M08/A03TGFde4VRbzXnjP9w573m2tDQD4E6uxKybJsvXfc0ljz7E3B9d06/hlKqqzDz9DKY9PmeH57Y3BSb7QphmWRamZSX+a9tYyd5jlm1h2TYffrWGue/8l/X1dZiWRWO4jcH5BbKi4D5k9OjRzJs3r0/2bVkWtbW1AGRnZ5OZmdnlanuVlZUsWLCA1tbWtFX5IpEIXq+XyspK+T0txB7U42CqKzk5Ob2xmx2aNWsWJ5xwAqWlpWzZsoUHH3wQVVWZOnUqwWCQs88+m/vvv9+5AN19992MGzfOCZUqKys5+OCDufHGG/nZz35GXV0dv/vd77jwwgudhP+CCy7gmWee4Ze//CVnn30277//Pq+++iqzZ8/u8/Pr6Fdjv8eja18j3i5Q0i2TJitMkx5GQSFD85LtCTBAdRPSIzQbEUx7W7NK07aImImqKZ/qxqWoxC2jV0Iqn6oR1HxETB23qknzcyGE2A7bWI+tfwRWI2ACLlBysLVDUNRsCarEPq9jQ+3Uv+VUQ+1NjQ0Mys0nNyODLzbX0Gi04dE0xpSVO2FCx2qrxrYQccNAVVQ8msvZp0tViRkGdS3N3Df/RSaPGNmvwc+UkaOZfdmVzti7Ore9yZ4I0xIhko1lW9iWjQWYlgWpkMm2sGyw7HYBVOorWfkCbPtvase2zftrvuT2F/5GSyRMXkYmw0pKMCzTWVFw9mVX7nXfc9GZqqpkZ2fT3Nzcp8dpa2sjEAjgdrvRNI3W1lYWLlzIkCFDqKioYOrUqSxcuJD6+nqi0SiqqlJUVORUVgkh9pweB1PhcJg5c+bw/vvvs3Xr1k6rdrz++uu9Nrj2Nm/ezPXXX09TUxN5eXmMHz+ev/3tb+Tl5QFw8803o6oqM2bMIB6PU1lZye233+483+Vy8eijj3LHHXdw/vnn4/f7OfPMM5kxY4azTVlZGbNnz+a+++5j7ty5FBcXc/fdd6dVie0pHzdtwK95ietdN92zsZ3+UpDo81TgSTSyDOkRQh36TKWqqlQUsjQ/LkUlZhm73I+qzYyzNRYiaumMzimT5udCCNEF21iPHXsd7DgoPsAHdhTsTRDfiI0HFA+oueA+EkUb3N9DFqLHumqonenzYdtg2xYDc/NoiYR55IdXoKpK2nQ9VVU7VVuZpkldSws2iQ/ZLNuFq11u63a5MEyLzzas79cm3al+Wrppcs+5FwAKDW2htHPbG00ZOZrHLp/Gb15dwNraWsKxOF63m28MH8GMU79N5fARmJaJZSUrlUgES3YqSEqGSs7jzv12h2AJ2sVK2O3+z+40qp2zLItH3/gPLZEwRdk5uNREs3xfuwD0/vnz+j2sFDuXWoGzrxmGQTwex+PxOKvt1dbW8uGHH1JWVsaQIUMYMmTIdntRCSH2nB4HU7feeisffvgh3/3udyksLNxjP7g761/l9Xq5/fbb08KojgYOHMhjjz22w/0cffTRfVZa2hP18VY0RXWWUd6ZsBkjbMacSqoiXzamZdGsh9MqpCxsWpKr93lVN4XeIJqiEbXihI04sQ7TArfHwmZdpB6vqlEeKGBZ4zrG5ZajKvJCQAghINnzQv8oGUplJO+MAGFSa5uCBbjBrMe2XgdOlHBK7HM6NtT2ud1k+fzY2ChAlj+Ax6XR2BbiG4eOwKW60FyJKijLsnj09f/g0VyMKB2IZUNTWwiPx41hmJiWhW4auNRtDYoVRcHGJmYYaU26OzZe78twqKt+WsNLSpl5+hn9upqdZVkYlpkIhZIBUftgKTEtzmbM4HIeu/xHiSqvcIigz8dBhcWAzdrazc7+UiETpDKlXQuVesPn1RupqttCTiCDjm8/ZEXBfUtNTY3TqLyv6bqOx+MhHo/T0tKCYRi89dZbeDyetL5TQoj+1eNg6r///S+zZ89m/PjxfTEekVTgCRJweQmpUWKW0e3nta+kcikq2Zofn8tNqxGlNVldlRKzdOpiOgqQqfko9AZxKy6ilk7YjBM2Y+jWjqf9xSyDJ7/+L/OrlzImZzA3HXo6U4pG9uhcLdtiWeM66uOtFHiCEnAJIfYP1pbE9D3FB+hgh4CO1/PkbSUD7LZEkOUqk09rxT6l64baNuu31mPZNjFdJ26YRPQ4GxsanH/fqqLwRU01X9dtoTCYjd/jxaUqeF0u4oaZ1p7AkwyybNvGME3ihkluRoCirGwAFq5eyR/+9Spfbq4hbhi4NRdDBxRz7Te/zTcOPaxXz/ftlSu4/pk/0xqNMCArC4+mETcM1tTWcN3TT/KHSy7j+BHdfy2Umvpm27ZTS2TbJCqQklPdUtPfUttYlp2oYHL6L9lO1VLq+R0/2uyqYqk4J4fiZEuOuNn915v9obGtDd0w8GxnpTRZUXDf0dbWlhZ6QqKBumEYfVJJFY/HaWpqwrIsFEUhIyMDRVE69Z0SQvSfHgdTWVlZe6Sn1IFuXG45w7NKqNnSuMv7MG2LBr0NRVfIdvsZEiigzYzREG9Le7FngxNcqSgENR953kwGKFkYtknE1ImYcSJmnHiHkEwl8SIpZET5tGkD05c8ziPjL+t2OPVG7QpmrZrP6tYadMvArWoMD5bsUsAlhBB7FTsCmGCrQCjx584bAXFQAoAvEWRZW8BVtCdHKsRu6dhQuz3LSjTUHl4ykOHFpYngJPmG1AQ2NjZQVbeFwqwsVDXZR0pR2dzUSNQw0FwqqqLidqloqgtVVTBMC7eqUpw7kAyvl7+9v4hfvzKfqKGTG8jAo7nQTYt1W+u49blnuWnqdxk/5KBU5NNudEqyMj0R1KgoiUocRUFBQVUT/03lxKkm3HPeeA2v201ZXn5a5U5xTg5bWlqY88ZrHFpSCoqCbSX2bjv9lWxnBbFEUVPXFUhp/ZV2Y/rb/iQ3IwN3MgT0ut1E9DihaIxwLNGWYl9ZUVAkWsO0pygKiqIQCARQVRXTNNF1HV3XOwVYPeXxeGhpaXFCKU3TcLvdzp/b952SD4WE6D89DqauvfZafv/73zNr1iz8fn9fjEkAqqJy5sAjeaN2xW7vy8amSQ/TrEfI9WRQkVFI2IizJdaC0aERuoVNs5FopK4mpwVmaX4KvUEUFCxsImacsBEjYurELR234kK3TXLcAZr0MLNWzWfygBE7rXp6o3YF05c8TqseJd+biVfViFnGLgVcQgix11H8yVCqjcRkGjX53w7saDKYcgHRZKAlxL6jY0Ptgbl5WIEMIvE4DaEQmV4fV55wUpfT6tqHDT5PYrqeaVtkZ2TQsrWeqJ54U6qpLhQl1UQbCrKyOO+oiZiWxe//9Qprt2ymKDuH+lCLs2/bhqottdzzjxd47PJpySmApDXXtuxUcJR+v00qREpGQsn/rty0kTc+/wy/201LuG3bsUi8uY7E43xdV8fziz9gWFFpu/3YaVPh2lc+bTtmh/92UUFl29uCrtT9qWOQHK/V4Xm2bTn77FhR1X5sHcdo2Zbzfek4ducYyeNv227bMWg3lrR9tBvztu9v+hgsy+50v2XbuFSVDQ1bsZON0kPRGJF4DMu20VwuJlQM7dcVBUX3BDpUvdm2TSwWI5YMGRVFwe124/f7cblcmKbphFU9qahyuVxYloWub2tV4vP5nABKURR8Pl9a36kDoceUbdvSV0vsdXocTD3xxBOsX7+eiRMnMmjQIDQtfRcvvvhirw3uQFeeUdCr+7OxaYiHaNbDFPtyqMgopCneRl2865JnCzttCqBX1cjQfPhdHgraBVWGadJmxnCpKnmeTFa31rCscR3j87b/wsCyLWatmk+rHmWgP3fbCj4uDwP9uWyKNHY74BJCiL2SOgDUTLDaSIRS22OBnapGdSUCLSH2ManV6W5//m8sW1fF55s2YpgmmsuFqqjc8tz/AbQLVrYFGo1tIQzLQk2+FmgfoKQY7VoLqIpCU7iNaY/PwbItdDPx2Nbt9Kx5b80XjPr5DX1x2tt19ZN/2qPHO1Btbm7C53YTMww0VeXU0YdL4/N9wM76S9m2TTweJx5PrC6eqm7yer24XK7ElF7DwDAMTLPrtiOqquL1egmFQmmhcygUIhqNEgwGndu6ru/xvlP9FQ5VVVU5KxFaloWqqtJrS+wVehxMnXTSSX0xDtGFt7esxOqDwm3TttgUaSDL7afQm0Wm28eWWAttxo5X6ItZBrH4tl8kPpcbv8tD0OUl35NBqS8Hn8vNxnADzdtZTTBlWeM6VrfWkO/N7HQRVhSl2wGXEEL0N8uywFwNVgsoQVBzUYglAibXULBqSVRKdfWC00Wi5MAEdHAVJAKtfmTbdmI6oR1JnIM6QD5JFd0yZeRo/rHkIxZ+scq5z7Asonr3FlYxuzllx7Jt4sbe3Q9J7EE2ZHi8uDUX//r0Y6771lQJp/ZydXV1abdVVUXTNCeI6si2bWdqX4rL5cLtduPz+QAwTdMJq1IGDx5MVVVV2r4syyIej9OQ7HeXCq36su9UxxAqGo3y7rvv7vFwqKqqigULFhCLxfD7/WiahmEY0mtL7BV6HExdc801fTEO0YFlW/zf+kV9eowWPUKbEWOAN4tSXy5tZowt0c7T+7YnaupETZ1GEqXs9bFWBnhz8GoaKgqN8RBe1Y1XdePq8AKhPt6Kbhl41a7/CfpcGo26Qf12qrnak+bpQoj+YsUWg/4hECd9WXR3oum5kgF4SHTTSYVTqe1Utq3OFwPFh+I+MvF8s7ZfgiHbWI+tLwYr1RPLBDUX3EfKaoGiW44++BD496v9PYx+50wVIlHh1X7qUKpvlYKCoib6XHW6X+nqPgWSf07ss939zj5wemOlGmCpyrZjqO2uJanbSrvH248xdQy6Gk9X402ORXGelzq2kuzbhXN8Zyztjt3+v6TG1m7fTeE23l/7JZqq4lJdWLZFQWaQLL8fl+oirMdkVb59RFcBVGZmJpAImGKxGLqub7caKrVd+8dVVcXtduP1ep0VP6uqqra7j9R02dS0QU9y4Ybe7jvVsUIpFYxpmkZmZuYeC4ds22bhwoXEYjGCwaBzXm63W3ptib1Cj4MpsWfMWfsmmyINfX4c07aoiTaRoXkZ4M1iSEYB9bFWmnZS8dSRikKj3kajHubQrFKK/dnUx1qdFyleVcPn8uBRXKwNbWFjuIEMzYdumXhdnUOkqJlohF7g2XEDS2meLoToC92pGkqEUu/SdTWUDrYGdjOJgMcFBEFJVUdF2RZWuRL79yRDqegLiSboqWbpSga2NhrFPaZPXyzaxgbs2HvJMWUkx9wMZj229TpwooRTYqe+P3ESEyqG8vH6r2mNRFEUWLlpE39e+BbReBy3ptEUDjt9YlRFITcjk7hpYNs2rdFE+wBXuzDHsm1URSEnIwOAm79zJocUl/DJ+vU89O9XqWtpxkz2H2rfi2hAVjbheIyDBhTzqwsuwuVSOwQ5tAtmtoU+igKLv1rLn995m3Vb69ENA7emMaSgkMuOPwEFhbvm/Z22WJTsQACv5iZm6DSHw2R6fdx5zgUce8iwfvju79/eWb2STzesdxrlq4rCkIJCGsNhIvG4rMq3DykrK2PJkiXObcuyaGhoQNM058vn86Emf6ZT0/oMw9huM3TLsjr1qUo1Og8EAolrg2VhGEZarypFUQi2a5ivKAp+v5/6+npqamooLS3d5fPsqkKpvr7eOY9UQ/Y9EQ7V1NRQX1+P3+/vcrZKb52zELuqx8HUkUce2eUPiqIoeDweysvLOfPMMzn77LN7ZYAHIsu2+ONXb+zR1VfajBhfG/UUeIMUerMIuv3URps7rcK3PdumHNqEjXjiUwhlW0PLsBnnzdoVzF33LrXRZjyqC6+iYVoWQY8Xj8udmCpo6sQtg4Z4iNE5ZYzLLd/uMaV5uhCiLySqhj5qFw65OlUNWZaVrJTaQVNzoqAUgN2S3E8M8IHiToRWRBL79hyN4h4D5gbs2OtgxxP3owMG2GGIv4ltfAaeSb0eDtm2hW3roH+SGLOtgZJaKVADMsBuS3xPXGXySarYqWElpeRlZtIQCmFZFn986w1My2JgXj7r6+vBBo+moSgKumkSiccZXFDAFzU1ALhdrrRKa9u2MSyLSCyGz+0hyx/g4AHF3PfSPOKmQV4wyJaWFox2TZENy6K2uYmBuXnMOOVbDMrP7/b43/vyC2Yt+AdtsSg5gQw8GRnEDYM1tTXc848XuPPs87nrnAuY8+ZrVNVtoTUSxa1pHFo6iCtPOElCqT7SVaP89mRVvn3HqFGjmDdvXqf7O07FS03x0zTNCXZS/aVisRiGYWy3GXr76X+RSGJRkdT0v0Ag4DRG93g8BAIBTNN0Qi9N04hGo51WD+yJriqUUoFYqk9WKBRyKrUMw8DlclFbW0t1dTUDBw7c5WN3JZz8QKBjf+iU3jhnIXZHj4Opq6++mkceeYRvfOMbjBkzBoBPPvmEd955hwsvvJCNGzdyxx13YJom5513Xq8PeH9n2RZ/WbeIr0J1O9+4l9nY1MVaaNEjFPuyGRzIpyHeRkO7vlJBl4+QGd1haPZ1uI5v/fdXXDTkOE4vPYJcTwbv13/J7Suep02PkeMJYNkaLfEILWaYrXqIMn8BA3yJcKkpHmZoxgBuGfHd7U7Jk+bpQoi+YBvrt4VDig/wAWbnqiFzNYnpeypd946CbVP0MhKVV2oW2G0kAqtklVQy7LJtOxH82HHADYSSz09dvyyw6rGjr4HvpN0Op2zbJBF6JcMvsx7MTcnjxZJLdlkk59Ykvg9WY6KKzFW0W8cWB5bPqzdSVbeFnEAGMUMnZui41G1VSy5VJW4YtEbCzkpyHSmKgktRiBoGfo+X3IwMVlZvZGPDVrJ8fra2hcjwep1tVUV1ppKdNvYIjhs23NnXDj/0s21My2LOm6/RFotSlJ3j7MfncVPkzqG2uYk5b77Gn/7nRxw99GA+r95IY1sbuRkZHFY6aLu9jSzL6va2omuHlQ6ionAAq2s2UeTOSbv02rZNQyjEmLJyWZVvH1BbW4uqqjtdYS817a391L9UFZTX6yUjWUVpmibxeHyXpv+lwppUWGXbNtFoFK/X22n1wJ7oqkKpfZWWoigYhkE4HCYajTqBnG3bLFiwgFNOOaVXp/QFAgFUVcUwDNzuzsGuYRioqrpb5yzE7uhxMLVkyRJ+8pOf8L3vfS/t/meffZZ3332XBx98kOHDh/PUU09JMNVDqWlpHzeto8Xov+XCY5bOunA9eZ5M8jwZZGpeaqMt6JZOQPMSNuNoigqKQtzSUZJ9Uto3at8Q2cp9K1/igVUvc1LRSL5u20ooHqXYn+NcnHO8Gbh0lZpII43xMFltXoKeAMMzS7is4niGBYtpjIfwqx68Lnfap/TLGtexqqWagOahxYigKS4CLo9zoZfm6UKInkoLh5QMpz9LV1VDWC1sC4529FbXBLyJfbmPQVEDXU8PtLYkgh/FB3bHUIp2x4lhxz/ExoNCtEc9qLaFUfHkuGxsOw5mLRhfAOH0c7HDQG6iwgsXiWqq/vvdJPZNjW1t6IaBJxAgHI+jqioelwst+ZXoBWOT4fORnxnEJlExFfB4nGl2qR5Jhm0zOK+A4w4exodfrSU/M0hMj1Oi5eDWNBQS0/5IrvinmyYbGxooztn22sO2ElP9Un2LUBRITv8zLYvPN21AVRTGlg/BpaoYpoVpW5iWiWlZaKrK5uYmVm+uZkTpIEYN2nlI/N6XXzjVValpgRWFA6S6qodUVeXKE07ituf/Sm1zE7kZGVi2TSQeY1NjA1k+PzNPP0MCv31AW1vbTkOp7elYVZWqgkpVQkEigIpGo2lT9rpiWRZtbW20tbU5+/J6vWiaRmFhIdnZ2ei6jsvl6vG/q64qlDruI1U1lXos1fequbm51/tNlZSUUFBQQG1tLVqyYrX9OCKRCEVFRZSUlPTK8YToqR4HUwsXLuSnP/1pp/uPPfZYZs2aBcDxxx/Pr3/9690f3QGk/bS0DJePBkJ0rwV531CAUDxCzNTJ92YyOJBPY7zNeczGRkXBrWhYWAzyF6BbBlvjIaLWthUzdNvk1c2fAKApKq64i1x3AHey6XnQ7UdTXTTHw/zo4JMYm1POYdmlqIpKixFFMaIoKLgUFb/Ljc/lwae6ea/+C+KWTmO8jZhloJBYJbDYl0OW29+j5ulCCAGkh0OKAraBM1VP0UirGlKz2NbIfEehkIvUdEBFDaBsr9rIjiS2szXA2ME+FbCqIfaPZITUeZph2m47hFG2rYNVB2YNWDVg1bPjYC01juSURsW/g22F2EZVFHxuNxWFhQwrLiHD58O27UTghIKqbusfZZoWBVlZGKaFlXxjFjdNFBJT+OKG4TwW0+Oc+qt72bS1gTY9hmkl7geSTbHVbb1kkj2rVtdUd7sZdiSus7m5idKcXNAUNJcLj6LhUlVcikJBpk1dawiv201BMAvLtrAsG9u2nHBLN03nPD5Ys4a75v2dpnBbYlpgIEDcMFhds4nbnv8rd559voRTPXDsIcO48+zzmfPma6yrr6O+NURbNM6YsnJmnn4GU0aO7u8him7ozeliqSqoaLI/XaqiyufzORVVqSl93amoSo2tpaWF3//+9xQXF1NSUsKgQYMYOHAgfr/fCapcyXC9K11VKKV6SRmGkbYioMvlAhIBkdvtJjs7u9f7TSmKQmVlJQsWLKC1tTVtVb5IJILX66WyslKm64t+0+NgKjs7mzfffJNLL7007f4333yT7OxsIHGxSV0IxM51nJaGApujTZhW95ZX7iuqqmDYJuvDW8n1ZDDAE6TQk0XM1Gk2Img2yYsqWFhkuwNETZ1Ds0qZkFvBvE2LqW83DdCwLepiLdTFWsjUfOS6MwhqPryqhqJAeUYBo3IGpY0hsV6VjWWb6IZJqxFlaUMVT1b9l2x3gHx3ELCJWDqtRozN0SYANMXVrebpQgjhcMIhNVm11K7Hnq0BflDMxHau4cCbJPpGbe9TVAXwJqbvuQpAHbD9Q+NL/ilK52qpbVs5j9uu5FTD9tMMT0LRyrBtI3ke8WQQVZ8IocyaRKi20489FBIrCeaCYiWm9dnRnZ6DEO3lZQbJywwyKC+foux/8enG9RRnZ9MQCtEWj6ECpm0TMwz8bg9+r4cNW+sBGJxfwNaWFsLxRPCU4ne7ieoaH69f1+UxDdPE7XKhqSqGbeN3u7Ftu0fNsHMzE/2k6kOt+JO9X9qL6HEisTgDglnkJVcR295Y4obBPz9dTkEwyIjSgZi2Tdww0E2DAVnZVDc28OR/3+LooQdLlU8PHHvIMGcapcelMTAvj8MHD5Hv4T6kL6eLpSqqotGoEx55PB78fj8ZGRlOM3VVVSksLKSmpoZIJNJlU3Vd19mwYQMbNmzgww8/RFEUCgoKKCkpobS0lJKSErKzs9OCqtRXSUkJxcXFbN68Oa1CKRgM0tjY6ARk7af5pRqx91Uz8oqKCqZOneqsEpj6HhUVFVFZWdknqwEK0V09Dqauuuoq7rjjDt5//32nx9Snn37Kf//7X+644w4AFi1axJFHHtmrA92fLWtcx+rWGvK9mYmgB7vf0+rUAuapD9Ib421O2WyxLxuPrlEXa00sswqYlkWt3kyG28u1h5zKMQWHMGPYN3m7biVPVv2XJY1VafsPGVFCRhSXopKp+XArLnLdOw8zTdviwTX/YX14KxEzhqq4yHL78Lu8FHuzMG0bt6qCDRNyK3bYPF0IIdIo/mRvpdSbWIVtVVFG4n7bC4o/0ZfCfVSHVfk6vqj1JXtKucF1MJjrsLuYemcb6yH+IdgxtoVGBolqKyW5/45TESKAlhizkgl2DFv/FJssoBHM6kRllbmZRBP1HfGCkp0M41LT+RRQdLCS0/4UT6IflnySKnpIVVWuOeWbTHt8Dl/WbsbrcdMUbnMalbsUhbyMDKqbGinMysbGpjUWJScQoC0WTd+ZoqSFTF391OmmiW2DS1XIzcwEmx41wx5XXsHwklI+2bCOgbl5naa7bG1tZUxZOWN30sdIc7n4eP3XvPvFKnICGbREI2iqC82l4tV8uPwqQb+PcCxOXWsrQwcMQDdNDMty3iDb9va6bglVVRk1aDC5GRkUZmX393BED2VkZOB2u9H1vvsQ3rZtp7opFAo5zcV9Ph+DBw9mwoQJDBgwAF3Xqa2tpbGxkZaWFsLhMJs3b6aurq7TNEDbtqmrq6Ouro5PPknMCMnKyqKkpMT5ys/Pd1YEnDBhAosWLULXddxuN6qqoqoqGRkZzlTDVIWnpmkEg0GnGXpfNSOvqKhgyJAh1NTUEA6HCQQClJSUyO930e96HEydd955DB06lGeeeYb//Oc/QOIf+FNPPcURRxwBwGWXXda7o9zP1cdb0S0Db3J6W9iIo1v9OZEvIWYZqMlpHAoQtQ3Wtm0h35NJrjtAhuZlS6yFNiNG2IxzaFYpVx50AscUHAKAW3VxUtEopgw4jIvff5SVLZswbBPd3nZupm3RrCcuuPeu/Afnlh3FqcWHE9A6f0oJ8HlzNVVtdeR4AmTaPqojjdRG47gUFUVR8CoabpeLQf48Lh1yPE16GJ/qxudySxN0IcQO2Uoh20KgVCgE6dPZLGylEAVQvRMScZH+IYlG6O25E9P/UlPf9I+wu1jhL63ZOgGgjW0hlEnnt96u5L6TjUttFdAT/aDMrWB+TaKKa0e0ROWTqxRcJWBGQX8/edyM5PPt5PFDoBai9MFqgOLAMWXkaGZfdiX3z5/H6ppqAl4v4XgcBQh4vNjgTMUCuPH/nmb5uipnip6qJKbUxXXduW9Hb6E0l0pZXj4t0UiPm2GrqsrM089g2uNz2NTYQF5mJj7NTdTQaQiFetTHqL61lUg8ngzZOv9cpoKumKFTmpdYNdCyLHTDQLcsDNPAatf/ykxWYZnJaYJ2ch9C7GtSlUb19fV9epxQKITb7aa8vJwpU6YQiUS6DGKCwSC6rmMYhtNoPR6PU1tbS01NDTU1NWzevDmtCXtKS0sLLS0trF69GgCv1+tM/ystLWXMmDF8+umnhEIhVFV1xlNRUcGSJUsAnCmBVvLnHPq2GbmiKL1WhbUvsm1bgrm9UI+DKYDx48czfvz43h7LAavAE8StasQsA7/Lg2Gbzso0XX0auCdZ2BR4MmnWIxi2hUdx0WJECRkx8jwZlPnyiFk62Z4M5ky4HE11bXuubfF5czWNehtTS8dSF2umKR4Gi+Q5plvW9DXLmr7mns//wdTScZxTdhQjswalXSga9TYMy8DjDuBTVEr9udTHWohZBrYFBgaqpXLikFEMyypma6wVhcQKPX6XG6/LjV/14OvQTF0IIRS7DhuVxDS6ZG8pR+q2imLXAYleUap3Apb7iMQqfVYLKEFQc1GIYVvNoC9NVkK5k182mHXY5mvYnvFgfJqYJkcmKAbYHa9LNtvCKE9iDLaZDLLagMYO2xt0poBaCGpJIoxSC1CUbf0sMP9NoqrKn2z47k1MFcRLYuqgL9HwXYjdMGXkaCaPGMmydVXUt7aSl5EBKDS0hSgIBhlXXuGskJWbkYHf6yUSjzt9oyDx7zX1pi31GsKlqmnT/QAyvV5aopFdbobdMUhrNNrwaFqP+xgVBIN4NC0xXXE70wJtILdd+wtVVfF6PHh3sF/TMonrBrppJqqsTAMjGWi1D62Qiiuxl1IUhaysrD4PpiAxHS8rKwtFURg6dGiXr/9T0+8gcZ3RdZ14PI7P56OsrMypampoaKCmpobq6mo2b95MaxfThGOxGOvWrWPdusSUY1VVGTBgAHl5eU51VVlZ4nfqihUraGlpIRgMpk33syyLlpYWBg4cKM3Ie1lVVZUzldGyLFRVpaCgQKYy7gW6FUyFQiEyk/PoUysHbE/mDubbi66Nyy1neLCET5s2MNCfi6a4EivF0L+hVEqTHkZBwaO6sLAxLRNFSdyf7wkyKJBPmxllTesWDs1OXDzfr/+SOV+9SVVbHYZloKkaXtVF1NIxbLNdHULyAtzuTNvMGH/d8D5/3fA+hwZLOHvQUUwtPYIcT4BcdwaaqhG3DHwuD5majwzNS9RM7Ne0LEzb5tj8RNVW+x5VrYZJKNlMXXWaqbu7XPVPCHEAsiPJpudBElPa2leuakAgMb2tw8p0qqqCOiJ9V7YN+gvJbS06VzFFIf4W25qnNyanEab6S7mSVVHu5C+CZFVUl8FTF5S8RDWUqwTUIhSl89LQAFhbkysMekFxbTu2qiWOTQDsZMP37TVuF6KbVFXdaRPyZeuq+GJzDYXBLDY2bE2rjOrq97RpWU5tdyqGaV+BtavNsDsGae3Ds+7a2bTAhlCoxxVdAC7Vhd/roqulCEzLxDBMJ7RKC66S0xwTK3JKaCX6j23bNDQ07LHjLV++nNWrV1NSUrLTAEJRFDweDx6PB9u2MQzDqaYqLCykoKCA0aMT15XW1lanoqqmpqbLoM2yLDZv3szmzZud+3JycigtLSU7O5stW7YQCoXw+/3OND5d1/H5fIwZM4ZwONyph9Xebm+tSKqqqmLBggXEYrG05u+1tbW9vgqi6LluBVNHHnkkCxcuJD8/nwkTJnT5D8u2E32RVq5c2euD3N+pispNh57O9CWPsynSSK4nA5+qEeqwakR/VU8ZduKTSI+iUezNce7P0LyoqkJjPETcNvG4NDyKi4V1q7l9xfO06TFyPAE87gAxy2BDWz0mFjnuDMJmHMNKfepp4UIhy+0nbpm0mdvewK1qreGelf/gV6tf5uSiUZw16EiGBAr4snUzRb5EmKSg4HclfnnU6s0MyyrhsOyuy1O3F1S1X/UvUVnV9VRCIcR+TPGTCIRcQA6JEMhqV8VkJCoQrDAYXye279AvymFtAbOORCVSKnzq2CcqdUVXSIRgblC8YLsTt+0oiYql7iyprQB+8BwJrhIUxbfTZ0By5UHFD2SA0rFCLE6iWivaKYwToq/Ut7YSNwyKs7Opd3uI6HHcydeY23tbY7f7/0yvj5d/+nOOPGj3G4p3J0iDxBvPrgKs3pwW2F0u1YXL4+qy4spONl83LDMxXdA0nSbtqd5WUmkl9oSamhra2tr26DGj0SjV1dU9CiAURcHtdjur6lmWlbbCX1ZWFsFgkGHDEitrxmIxJ4Sqrq6mtrbW6dHbXlNTE01NTc5tVVXRdd0Jn/Lz8znyyCMpLCx0VhtMvdZoH1CpqkpDQ4MTtBQVFfV7ALS3ViTZts3ChQuJxWJOg3nYtlJib6+CKHquW8HUn//8Z2fFvblz5/bpgA5UU4pG8sj4y5i1aj6rW2vwuDRcZhwT2wmk+uNFQvswTLdMqiONiZkeKCgK+FQ3AZeXuKWzsG4VBe5MXt38CR5FI9Pna/eDbWNhY5GYjudCwaW4kqv6qRi2SYse4WeHTiXL7ef5jR+lNUyPWwYv1yzn5ZrlFHqDGJjURBrJ9WbiTU6DbI6HyXB7ufKgE7rdT6qrVf8UFDRFxedKTPnzu9x4VKmoEmK/pw5I9H8y60HJSFQsOVPmEv2lAIj/BxuNRK+mDGxtNIp7THo1hBVmW6+mrkIpSFQnuRP7QSERfEWAHVcmd+YCAuA5FkXrKpRv3yvLxbbwTQU1PzmOWLtxtv9tk+yLpXRVmyFE70tNf4ubJsU5Oayvr0O3LDRFId7FG7z2FOC2M8/h6IOH7ZnBAm+s+NSZ8hc3DDyaxvCSUqdaq7emBfYGRVHwut14cdMxuWpfaRU3TXTTQDcM4qaZCKxsO7FAp0RWohe0tbX1aePz7TFNk1gstssBhKqqeL1evF5v2pS/VBNzr9dLeXk55eXlzvFSK+ulvrpqZp5qsm6aptOM/cMPP2Tjxo3O6n5er9fZxjRNNm7cyPLly2ltbXV6V+Xl5TF27FjKysr6pbpqb65ISlW0+f3+Tn/vfbUKouiZbgVTRx11VJd/Fr1rStFIJg8YwbLGddTHW6kKbeG3q19hTduWfhuTnfZnGxMb1VZQFQXLtmk1orQaiST//lUv8esvXibXncEhmSUENA9bYyHq461sjjTRvquUiY2KjYqS+DQCF3Hb4B+blvD3467lzEFH8lVoC89v/JB5mxbTEN/2qUpdbNt87rAVx6NqBFxehmWVpDVf39XztbGJ2yZxI0KrEUFJTjjcEG4gYukM8AYZm1OOS937S2mFEN2nKAq4j8S2Xk+spme7SIRSHT8aSFUTxcEKQ/xNbOMzSGsQHm33nPahVDLQwpW830geY3cGngvu8ShaCdtWEmwXPiWn5yldBfauQmzVlwjjyEj2mEqy7UTVlqsgEdoJsQd0nP42uKCQzU1NTj8mSP4rT74OSVEVhSy/nykjR+2xsb6x4lOmPT6H1miE/Mwg3mQ/qU82rGPa43OYfdmVTji1u9MC+9r2Kq1s20Y3DQzT2vZfw0A3U6EVyNRA0VO9vdJcdyiKgmmaqKraZQCxveln27u/45S/VBWVYRiYyUDX5XJRVFREUVERY8eOxbZtWlpanJCqurqaxsaOvSITjc+rq6uprq527svPz3dW/lMUhffff9+Z8qcoCpFIhLVr11JdXc3kyZMZOHAgiqJ0mgbYV4HV3l6RFA6HndUPu9JXqyCK7ut28/OGhgYikQgDBw507vvyyy95/PHHCYfDnHTSSZx++ul9MsgDiaqojM9LJMmWbfHipsVsjYdwKSqN8TBmt6Z09C0rWWHUkUfV0C2T2lgLLXqE8bkHkeX2szna5EwHbC+1Op9LUbGxUVHZEmvh8+ZqRuUM4qDMAfzs0KlcO+ybvLVlJX/f+CEL61anfVoXswxiloFLURmZNZBif06vnqsNvFf/hdMvywUE3QGGBYu5vOIEJhYeIqv+CbGPsm07MeXOjmCTmPqmYIH7CNC/ALuG7k2js8Gqw47+E9t7Kqq7HKxW0hqXO43UdbZVUu2K9lVPGpAB3u+iuLTkMbSuA6jt7a1jGIcvuf/kVELFg+I+UipGxR6jqio3Tv0uP5zzv3y1pZacjAwOKixkc0szW5qbcakqFYUDCPr8NLSFnCqlHH+AzS3N1HfRjLgvWJbF/fPn0RqNpPWP8ns8DMzNY1NjA/fPn8fkESOdaX3dmRa4t1EUBY/mxqNBxzKrVGilm4mpgakG7KneVjI1UGxPX6w0tzOpqqTU6nhfffWVE0xtb/rZ0KFDWbt27U6npbUPqWBb5VM8HscwjLTVM6PRKH6/n8MOO4zJkycTjUbZvHmzE1bV1tY6Y21v69atbN26lc8++8w5ptvtdirPXC4XGRkZtLW18eGHH/Ld737XWemv/TiBLoOq1MqAu2pvr0gKBAKoqophGM7UzPb6chVE0T3dDqbuvvtuBgwYwMyZM4HED8eFF17IgAEDKCsr4+c//zmmaXLGGWf01VgPOMsa17G6tYYSfy5+l4dcT5g1odq99pe7goJbcRGzDSKWzvKmr8nxBMjQvBycWcSGSANhM70BsGGbqCiYto3PpYFt06inVw94VI1TikdzSvFoaiJNvLjpI17Y+BGbIts+YWjSw/yx6i3+WPUWR+YdxDmDjuKU4jH4XNtp+NtN79d/md4vK9l4/d26L1jetI67Rp7DMQWHoCiKE1D5kqv+ufaiT0KFEOlsYz22/hFYjcnpeokpQjZaYvU7JQPsZMPzTo3Qu9wj0Aaxl7GsY0BflXyuQaK6qqcfKqgkQigtvSm5My3PTozJPRZV271FRxJVXidu+34QTRzLVZAIpZwqMCH6lmVZzHnjP8x583XaYlHaYjFao1GqFZUMnxev201RVjZZyTcO+cGg89xwPIZH0yhod19fWrauitU11eRnBrt8E5aXmcnqmmqWravaJwOp7tgWWnWeGmi1C6niyV5WqemB7VcObP+GXRw4+rMqJRXWfPTRR07BRVfTz6qrq/n666/xeDxkZmb2aFpaKujx+XxOSLV+/XoWL15MXV0d8XgcRVHIzc1lwoQJVFRUOPsyTZMtW7Y4FVU1NTXEYh0XUEn2jIvHicfjznlpmobL5aK+vp7q6uq0gpLUc1LHMNv1Mk5dwzoGVakAqzuB1d5ekVRSUkJBQQG1tbVpKyBC4vsSiUQoKiqSVRD7UbeDqeXLl3P//fc7t+fNm0d2djbz5s1D0zT+9Kc/8Ze//EWCqV5UH29Ftwy8auKvyaW49ngD9J4cz8bGpaooZuI5YTNOJKLjUTWKvFmU+fNoNiJsiTU75fc2icopl6KSpWVgKza57oztHqPEn8NVB5/Mj4aeyPtb1/D3jR/y2ubPnOorgI8avuKjhq+4+/N5TC0dxzmDjuaw7IHb3ef2WLbFnK/epE2PUeTLdi5gPpeHIp+b2mgzj371BhPyD0JFpc2M0WbGnOmJXlVL9KlK/leTqX97nGVbztTYAk+QcbnlUtkmEqFU7PVkIOUiUcWUCo5ssD2JleiIk6h22lkolZqapyb2oy/sxnM6ykwcT3EBWSTe5XXobeUEaMk+UGoBivuwHh6na4o2GFxlTgXZDhu7C9EH3ljxKTf+39N8vP5rLNtGVVX8mpsMn4+YoZPh8VJRWMSmxq3Ogjspu7PC3a5KNWn3budNmE9z02i07bEKrr2Nqqp4PZ4um7AbqRUDU8GVoXdqwC6B1f7N7+/fvoVutxvDMHjnnXdQFKXL6WemaWJZlhO2pCqUejotzeVysX79et566y0syyIvLw9VVYlGo7S2tvLWW28xefJkBg0a5GyfmrJ3xBFHYNs2jY2NTkXV+vXruwx32k8nhMR79cLCQmdfJSUlZGR0/R4r9fNmGEZas/bUuWmahqqqzn9ToVX7c9/bK5IURaGyspIFCxbQ2tqaFkJGIhG8Xi+VlZXyuqcfdTuYqq+vT0td33//fU4++WQnFZ0yZQpz5szp/REewAo8QdzJxt5+lwfDNtnTa/P15EiWbeNSwK24iNsmVrIvS8SK83WknqDmp9AbZEigkLpYK61GYpUnt6pR7M0iZMR2uKJee6qiMrFgGBMLhtEYb+Mfm5bw/MYPWROqdbZpNaL83/r3+L/173FY1kDOGXQUp5WOI8vdvV+GnzdXU9VWR44n0OWnodmeAFVtdc7UQ+f7gA22TdiMEzbj2/poKS78Lg8+1Y3X5cbj6vaPn9gFb9SucBYT0C0Dt6oxPFjCTYeezpSikf09PNFPbNtOVAbZ8WRVVCPp1UwWiebjARJT7jq++HO1+4JkvJ7ctrtSlVButk31S1VneUCJg92SWDEvVb2kZCS3NRLHU3wonkm9+gJKURRwFfXa/oTorlSvpvX1ddiAV9MSn2AbOvE2g8H5BbREIyhA0OffYyvc7UiqSXvMMPB7Oq/kGzX0PVrBtS/RXC40l6vT9820TOL6tqmAccMgbugSWO2H+rJqJtUXanuPKYpCZmYmqqqyZUuij2/H6We6rmOaJi6XywlrUmFLT6elpXovtbS0EAwGiUajuN1uvF4vfr+ftrY2Vq1a5QRTXY05Ly+PvLw8Ro4c6VRsqarqrBLY1cp/tm2zZcsWtmzZwscffwxAdnY2xcXFlJSUUFpaSm5u7g5fR6S+j6mwKxaLOdu371+lqiqmaTJgwAAaGxudvlupcG9vqUiqqKhg6tSpzrTNaDSKqqoUFRX1+6qBogfBVGZmJq3tPvX55JNPOOecc5zbiqI4pYSid4zLLWd4sIRPmzYw0J+LpuwbFTeqoqDaSjKY2iZkRIiYMQq8WRT7ssk1/WyONpPvziRkxHq8ol5KrieDSyu+wQ+GTOLjpvU8v/FDXqn5OG3a4Octm7jz8xeZtWo+pxaP4exBR3Fk3kE7vBg36m0YloHH3XWy71U1WvRwp6mHHaWCKtO2iFo6Conm8c7Kf8kpgN7dnHYotnmjdgXTlzxOqx4lv93KjZ82bWD6ksd5ZPxlEk4dqKwtielqio9E6NPVKl82ECFRtaQkqpjs9j2iUtPzuksB3MkgKrUCHzjNz22DRGVUartM0EaiaOXYdgxSU+yU5Ap56gCZYif2G6leTQ2hELYN7uS0EUVRcNs2umWxubmZgXm51LW28PPvnMELH33Y7yvcdWzS3t8VXPsDl+rC73XR8eND00pUV8WNbZVWsWRgJfZNXU1N6w2KopCRkUEkEnECkZRUxU9mZqazql5qOlvH6Wcdezx1vN2TaWkdey+1n4KXut3c3EwsFiMnJ8cJxbYXrg0YMID8/Hy2bt1KRkaGs49UtVQ0GnVW0uyoubmZ5uZmVq9eDYDX602rqBowYMB2p+KlpPZr2zaWZbFx40aWLl1Ka2ur8z1vaWkhMzOTQCCAZVm0tbWRl5fHN77xjX6vSKqoqGDIkCFdNrQX/avbwdThhx/O3Llzufvuu/n3v/9NW1sbxxxzjPP4119/TXFxcZ8MEmD27Nn8+9//5quvvsLn8zFu3Dh++tOfctBBBznbXHzxxXz44Ydpzzv//PO58847ndvV1dXccccdfPDBBwQCAc444wxuuOGGtB/CDz74gPvvv58vv/ySkpISpk+fzllnndVn57Y9qqJy06GnM33J42yKNOJRtb16md7UhdGwLWxs3KhoaqJ6yq24UJOP10VbaHNFKfAFOSizCGzI9Rbs9op6iqIwNrecsbnlzBzxHf5Z8zF/3/ghy5vWOdvELIOXqpfyUvVSygMFnD3oKM4YNJ5Cb1an/eW6M9CSPaV8rs6fhsYsA03Vdjj1sCs2NmYyqIpZBi0oKApoJIMqlxu/y41HdctFchdYtsWsVfNp1aMM9G/7JMjv8jDQn8umSCOzVs1n8oARMq3vQGRHSIRAvkRVUrtV60AFJflnO1WdGgc7RtcB1vYkK6KcMCr1c2y025eZ3H9qlb6MZDNzE6wWsFeAqxhVG4ztKsM2a8GqSexGLZHKJrHfSPVqyvR6E1VR7X7vKYqCpihE9Ti2ZRM3DCoKi/jnjbf0+wp3qqoy8/QzmPb4nL2igmt/llox0NfhpZhpmVjW3vu6WPQP0zTJzs5mxIgRLF26FJfLhdvtxuVypfUWMgzDWZ2u4/Szjj+3HW/3ZFrajnovpQKkUChEOBx2qq8Mw0hb5a99yKQoChMmTODNN9+kra0Nn8/nVC7Ztk0wGGTy5Mn4/X6nR1VNTQ2hUKjT8WOxGF9//TVff/21c54DBgygtLSUkpISiouLdzjtcuPGjbz55pvE43F8Ph9ut5toNEooFKKxsRG/34/P5yM/P59x48aRl5dHW1tbp5UC9zRFUfqlAbvYsW4HU9deey2XXnopY8aMwTRNpk2bRnZ2tvP4yy+/zJFHHtkngwT48MMPufDCCxk9ejSmafKb3/yGyy+/nJdffjntonDeeecxY8YM53b7H6bUuAsKCnj22WfZsmULN910E263m+uvvx6ADRs2MG3aNC644AIeeOAB3nvvPW699VYKCwuZNGlSn53f9kwpGskj4y/j/pUvsbD+i704lgLFhrhtYmOjoFDiz8XrcrM+XI9hW2gk5iK7lEQ/poDhZcaIb3JM/sEUeoMYttlr55eheTm77CjOLjuKNa21PL/xQ+ZtWkyTvu2TjXXhen7zxSv8/st/MrlwBGeXHcWkguFOL6jDskupyCjki5YainzuTp+GNsfD3Z56uCM2NrYNcUziRoRWI4JC4vvkT1ZSpRqqS1C1c6lFA/K9mV03pPVksrq1hmWN65wVMMUBRAkkKpJsFyhB0iYs2wbYOolKqp70iEqtlOdONE7vMojaQbClBMH5t5oMqey2xJRDVxmYG7ZVTZGomrLVXJCqKbEfSPVqyvb7UVE69Y9KfegV1uPO1Li9ZYW7KSNHM/uyK7l//rx+r+A6ELlUFy7J/fZJ25u2trtUVaWkpITKykqnKqa2thav19tls+vCwkJ0XWfr1q14vV4nMEkFWbqu4/F40kKlnk5L25XeS5qmoWkafr+/y5Bq0KBBnHDCCSxevJjGxkbnupmfn8+ECROc729BQQFjxowBoLW11Qmpqqur2bp1a6exWJbF5s2b2bx5s3Nfbm5uWlVVdna2c11evHgx8XjcqdwCnDCqtbWVjIwMTjjhBAYMGNBpdlX7KYEde1f1V2Al+le3g6lDDz2UV155haVLl1JYWMjhhx+e9vhpp53G0KF99yLhT3/6U9rt+++/n2OPPZYVK1akBWI+n4/CwsIu97Fw4ULWrFnDE088QUFBASNGjODaa6/lgQce4JprrsHj8fDss88yaNAgZ/XBoUOHsmTJEp588sntBlPtV0QAukykd8eUopEE3T6+899f02zYxKyefHKfoKCgQKfpdb1Jt03cqkaZP5et8TbyvZmoisrgQAGbo01ELR3bArDRVBfXDvsmM4adCoBpWTTEQ7QYEUy7d0uzDw4WcdOI07lu2Ld4Y8sK/r7xQxbVf+lUn5m2xetbVvD6lhUM8GZx5qAjOXvQkZQF8rnyoBO4fcXz1EabyfYEnClhzfHwLk893JlEZy4byzbRDRPFiCan/6mJRuratul/UvHTWcdFAzryuTQadYP6+N7dkLavrysHisSnjMmG4baFjT8RBNl17aqnduWao5HoB9W+IspMNihPTffrji62UxTAB1Yjtv4J6EuTPbF8ifsxwazHtl4HTpRwSvTI3nZtSfVqcqkuvG43ET2Op90bEtu2UYC2WIzxQw7a66bGTRk5mskjRvZ7BZcQ/amn15XS0lI8Hk+vtoFRVZVTTz2VCRMmOKHHjppdq6pKLBajoaGBWCxGNBoFOvdOSoVKu9ooe3dXg2sfUqVW+IvH45SVlTFw4EC2bNlCNBrF5/M5AVBXgsEgwWCQYcOGAYlqqc2bNzthVW1tbZe9qhobG2lsbOTzzz8HEkFbcXExwWCQ+vp6fD5flx8EBwIBIpGIc7uj9lMCtxdYdQyqerJKoNj39Kj7cl5eHieddFKXj02ePLk3xtNtqX5X7au2AObPn89LL71EYWEhJ5xwAldddZVTNbV8+XKGDRtGQUGBs31lZSV33HEHa9as4bDDDmP58uUce+yxafusrKzk3nvv3e5YZs+ezUMPPdRbp9alhngbJhaG1dOVniDD5UW3jLSV63qTX/WgqSoXlldy6ZBJoMC5i/7gNG3PcvsJun2EjTiGbWJYFqZtcVLRKGcfLlWl0JdFpuFja7yViKn3+rRFj0vjmyWH882Sw9kUaeSFjR/y4sbF1ESbnG22xFqYvfZ1Zq99nWPyD+acQUdx64jv8sTX71DVVkeLHkZTNYZllez21MPuah9UhUyTNjOWCBoVBZ/qxu/y4E0GVS55Idxp0YCOomaiEXqBZ+9uSLsnriv7k8QLnFTIZIFtkh462di2kVx1zgI7RM8CKRfbgqjUz5nZvYqonQ4+kqjk6ng8OwLGp9sate+gqkpepInu2tuuLe17NRVnZ7N+az1x00RL/j7TLQuXopAXyNhrp8btLRVcQvSXnl5XFEWhqKiIDRs29MrxXS4XU6ZM6TR7Z3vNrrOyspzpZrqupzVMt23bCaLGjRtHY2PjLjfKtm2bmpoaKioqqK+vp6WlhUAgsMshVyqg8fl8Tkjl9XrRdb3HCwN4vV7Ky8spLy8HEjOLUg3dU19d9dAKh8N89dVXzu1UM/fUV/vqJ9u2ncCvuzr2sGqv4yqBqe+HVFjtH/bJZcEsy+Lee+/liCOOcFJfgKlTp1JaWsqAAQNYvXo1DzzwAFVVVc6Fsr6+Pi2UApzbdXV1O9wmFAo5aXRH06ZN44c//KFzOxQKcfzxx/fOyabG4AmiAD2d7BZwecjzZNJmRmnVo30STgVcbvyal2Pyh/JBw1ps26bYm8368Fanx4+CQoaWaDS4KdLI6JwyxuWW///27jw+ivr8A/hnZu/c9x1uQyBc4RQMgqCiIiqCohUVRa14VeXXYrVaQVvUoqLFWqqiItrWclgErIKKlQIGMIhouARJQsgdkmyy2Wu+vz82O2TJhmzIJpuEz9tXXpLZ2ZnvTMLD7rPP9/k2OZZJq0eyJgqV9lqcstU1rETof8mmSDx4wRTc1+8ybC87hDUFu/BF8Q8e92dn+RHsLD+CcJ0J05KGY0byaITpTYjUBWNgeFLAqpXciSoIgVqnFbVOq7ryn0HWNjRUd/3fPS3xfHLmogFNGtLazM3+/nUmHRFXuiIhGhJPUOBKDDX8v1ECymNfpczVm8l50pWU8jkZJcGViIqAqwLKfU57Q7Nyh8e52sYCCFOjxBOgNkMXta5KqTNfsDaqqoJSwp5T5LPOFlsa92qqrrcgITwC5WYz6u12KEKBLEkYnNoTL9w8m1PjiDqpc4krMTExbU5MSZKEsLAwTJs2rdmZO2c2uzaZTPjiiy9QVVWlJj7cSQ13MkSj0UCv16OyshK33HILioqKWt0o+9ixY2pCTFEUtTF4XV2dWonVltXgGiep3Kvzub+aa37e0vHi4+MRHx+PYcOGqU3ZGyeqKisrvT7Xfd7Gx3JPfzwzudQWZ64SCJy9wsr9PT+86xq6ZGJq4cKFOHz4MD744AOP7bNmzVL/3L9/f8TGxmLOnDnIy8tDjx7tN9VBr9dD72WpYH/KjOyJeGMEymwtl9xLABKMEQjXBcHsqMezg2/ACUslVv28DT/WnPD72OoVO2x2J365ewXsDdMMNZIrCNgUBxKMETBqtKh3OlBhMyNUZ8SC9GnNJnYEBI6by1Bpr4UMCUmmiKZvyvxEI8kYH5uO8bHpKLeasb5wD1bnZ+NobYm6T5XdglXH/4dV+B8Gh6diZspo9AqOQYiuaZIyUNwr/9U5bahz2tRElV7SqCv/GTQ66DVd8q98q5y5aECUPqRVv3+dRUfElc5MNE44CXfiyd0wHPCWFBJCAOJUQxLqJOAsgiup1JKGJBSMALQN8cYBIMjVkFworgQR2mcVIXV1PjT0nhACEPWAHNxw3uYSzBoA9Q1TEol80xljy5m9mkKMRoQYDUiKiMLdkybjnksu65SVUkTkci5x5eTJk206pzvpYLfb8b///Q+yLDeb4Gnc7LqwsBBlZWXQ6/VqFVTj5IYkSVAUBXq9HmVlZSgqKmp1o+xjx45hw4YNsFqtTaYQajQajBo1Cn369PHbanCyLMNgMKirDbr7UjkcjibN030lSRIiIiIQERGBAQMGAAAsFovH9L/mfoZOp1Nd8XDjxo0ICQlRe1QlJSUhKirKbzG9uQorTgnserrcu9RFixZh69atWLVqVYurALr7YB0/fhw9evRATEwM9u3b57FPWVkZAKh9qWJiYtRtjfcJCQnxWi3VUWRJxs09xuF3+z9scV+DpEWY1gSb4oDFacMJSwVWHPsK1TYL3OtM+ZPF6XrjJ0GCTtIAEuBQFAihoBZWlNtqIEsSdLIWgyNSsSB9GibFZ3g91hfFP+D5Ax/jYM1JOBUn4o0RGBiWjGuTR2BIRGq7Nn+PNoTgjt4TMKfXxdh76jhW52fjk6K96vUBwPdV+fi+Kh/PHViPKxKGYmbqaGRG9Op0gc2dqLIIBRbF3tCjSoJWkmFqlKgyaJo2YewO3IsGuH+XKu0On37/qGO5Xkw0Sjh5TL9rPgHl8XxnvisRJaoApQKuxuVnowXkBECT6Ppy2gDlCKDUnT6vpHV9L+mgrqAn6Rr6R7n/rrf1E0AZ7vpH17XbXWOD05WUgg6QewKOH+BKiBm8JOhdjdAhNb9iDlFXwV5NROcPRVHU2Srnyul0QlEUOJ1OHD9+HGVlZZg+fXqL1UfuVfJamvrlTlB5m852NkIIbNu2DVarFaGhoep7BPc0t5qaGhw7dgwXXXRRu7x/kCRJnVYHQJ3y53A41F5O55KoAlyNzXv37q3e4+PHj+OLL76A1WqFJEnNJsHMZjMOHz6Mw4cPA3AlMhMSEtRkVXx8vNfG8G3RUsIKaDolkAmrwOoyiSkhBJ555hls3rwZ7733HlJTU1t8Tm5uLoDTSadhw4bhr3/9K8rLyxEdHQ0A2L59O0JCQtCvXz91n//+978ex9m+fTuGDRvmx6s5N5cnDMaSgxtQZa87a4JGADhaV+JaQlcCnstdD42kQYjG4PfEjknWwS6cEAIwNFTjKEJAI0lwCtc/POHaINx/waW4MPoCjIjq3WylyhfFP2DenhWosdcj2hDS0Gjcjm2lB5FfV4Zfp09DWlgClHMMpr6SJAmZkb2QGdkLvx1wDTYVfYc1+d9gX9XpcmOL0451J3Zj3Ynd6BMchxkpo3Bt8khEG0LadWznSkDAKQScQoFVcTT0qAK0kGHU6F3JKo0Wern7rPw3KT4DE+MGIKfyOMpsNYjRhyIzsmenr5TqrkTjpJOX/k++H8fiSkQ5fgKUIrS8ep4MyLGuJJScCMixkCQNXAkdHaDRAkgHlFJA1AGSyfVixrrBlSBSe0i5k0htJeF0ckuGq1LLBte9aKiOkhviiPMgXEkpd1VUcMOqfzhdVaWJAeQ4P4yLKPDYq4no/PD999+rFTVtIYSALMsQQsBsNmPz5s24++67z/pa1r1KXkvJGfexG6+W54uTJ0+irKwMJpPJa1Nwk8mk9nJqbSXWuWjcf0kIoTZPP9cpf4317NkTl112mbo6oHv6nsFgQGhoKKqqqlBdXd3keTabDXl5ecjLywPgiv0xMTEeq/8FBwef87jOpvH1Np4SCJxOWp3Zu4oJq45xTokpRVFw/PhxlJeXN/llPrPpnL8sXLgQGzZswF/+8hcEBwerWfbQ0FAYjUbk5eXh448/xoQJExAREYGDBw9i8eLFGDVqFNLT0wG4mpj369cPv/nNb/DrX/8apaWlWLp0KW655Ra1/PSmm27C+++/jxdeeAEzZszAzp078cknn2D58uXtcl2tkRnZEyOj+mBPxTHUOa2wKQ6vb5McQoEWMoQkoJU0qHHUQwMZZkfrms+1JN4QBgAot5mhkzWwK044hNKkafnh2iIszv34rNUqilDw/IGPUWOv9+gL5K7uOVhThBXHtuKd0feiwmaGVbG3a/WUW4jOiBtTx+DG1DE4WF2I1QXZ+LjwW1TZT0+dOVpbgj8d3IiXD32CSXEZmJk6GuNi0qDpxAkQAQEhABucsDksqHFYIEGCRpJhaqikcq38p+/SQViWZIyI6lwrOHVnnv2fGk/Bc1dAtf5vrRA2QCl2JaOcJwHhvb+BBykM0PRoSEbFQZL0cCWDdK5qKGghnfn3U9MouSMEhGRyrdwHwJVAcnX5a3tyqnEDcxMAOyAnA/qLIKEeQqk6YxW+UAA1rv1ENSBCAUnjSkpJeki6UV367ygREZ1/qqqq/HYs9/Q7p9OJkpISFBYWIjk5udn93avkFRUVQavVqs3P3dWZ7moqu92urpbnbmLuS58pd0WWO0lzJq1Wi/r6+lZXYvmLu5G7yWRCdHS02h/K3QOrtVJSUs66OmBtba3H1L/S0tIm51EUBSUlJSgpKcF3330HwLXAWeNEVWRkZLu/3nGPyz0F0u3MhJUsyx7VVnwd5h+tTkzt3bsX8+fPR2FhYZNfKkmS1Colf/v73/8OALj11ls9ti9evBjXX389dDodduzYgZUrV6Kurg6JiYm4/PLLcd9996n7ajQa/PWvf8XTTz+NWbNmwWQyYfr06XjooYfUfVJTU7F8+XIsXrwYK1euREJCAp599lmMHz++Xa6rNRr3ztHZNJAlCeXWGtibTCkRcIiGVWz0ISi2VsEhlFa9n9JAck0Hg9Qw/e90ukmGhFRTFGoVG6xOOxQhYBWOs66iZ1Mc2F1xFHdkL8dbo+7BpQmDPB7PqTyOgzUnEW0I8frpQpQ+BLsrj+FQzUkMi+yJU7Y6VNpr4RT+a6jXkv5hSXhi4HX4v/5TsaX4B6wu+AY7y4+ojzuEgs+Kv8dnxd8j0RiB6SkjcX3yKCQHRXXYGM9V45X/7A4nJEd9w/Q/V6LKqNHBJOth0HSfiio6d+fS/8n3YztdzbzdfaKUMh+OJ8PVn0kLwOFKTOlGQpK0DdPxtK4/B4qcBojihil6mobxygBsgGSApB8FSZvg+jfVvtZzFT5JC4iGJuiwA6gBRBCgiXElpbTt1z+RiIioPZy5qnpbKIqiNhNXFAUFBQVeE1ONk0vp6ekoLS2FxWJRq4bc073cPYncq+X9/PPPHk3M3dU9zTUtd1dkORwOr9PTHA7HOVVi+eJsCbQzm7G7r2P8+PHo1auXR/N0p9PpU5JKCOGRkOrRo0eT9wnBwcHo16+fOjvJZrOpCcSTJ0+iqKioSeUS4EpeVlVV4cCBAwAAo9GIhIQEJCUlITExEXFxcR22El9rElbu/5eVlcFiscBoNPqtl1h3J4lWpkavvfZa9OrVCw899BBiY2Ob3OTQ0M69BHtHMJvNGDFiBPbs2YOQEP9P7fqi+Acs2Pd37DuVB0UI1xxooTR56xak0SNYY0SprWkJpa+khsQUcDp5IUNCojEC9YodloZm277QSK6y2Qh9EP4x9kFMjj+dnPq0aB/uzF6ORGOE16lWilBwsv4UVoz+JaYkDAEAWJ02lFnNsDhtaHr1HSO/rhxrC3ZhXcFuFFubfvojQcLY6H6YmToGk+Myumzzcdfko9MVVY0bqjPQdoz2jiu+EsIJiBr3d344nuLqDaUUNlo5r6XyfgmuJJQerioojet7SQcI2fV8w0TI2nOb4iacxRD1HzdcXn2j8ZxD1ZeUAiloJoRtD2DPhmvanoDacF03GrJhpOd51cquMyj1AOyAYQIkbTr/7pFfdJbYQkTdR0txpaCgAG+99Va7nHvEiBEYPnz4WZMyiqLAarU26T8EuJINCQkJuOyyywCg2SbmBoMBV199dZPklBACq1atQnFxsUePKfdjNTU1iI+Px+zZs/3673hziaesrKxWX4e7ebq7N1Xjfk3uRFRVVRWOHj2KyspKiIb3o5GRkRg5ciRSUlJ8HreiKCgvL1crqgoLC1FbW9vi8zQaDeLi4jyqqgLZD9qtsLAQ3333HcxmM3Q6Herq6hAREXHOqy+eT1r9Lvn48eN49dVX0bNn515qvTubGDcAkbpghGmDEKUPhlVx4KSlEo5GlVMSAKvTlThqDRneW/o2rphSIHCyvrLVrX/d1U0Vtlr8YudrWJgxE/f0vQSyJCNGHwqdrIVVccCkOb2qh2hYaa7WYYUAEKU7Pd/YoNEjyRSJKnsdKmy1cIi2z1VvrdSgaPwq7Qo8cMHl2FZ6EP8q+AZfleS6KtTgum/byw9je/lhROiCcE3yCMxIGY200LM37u9szqyoqmmoqNK4m6lrdA1TADvXSk/Uns4tKeVaOa/qjJXzWopTBkCT4OoRBck11Q3BrkSU5K6UknB6dbsqSGhDibywwNXwPBiulfocDceWXSv0obZhW0uCIBnGuBq0O76Hq1oqtGGswnUMx/cQmjhX5ZP7vGjmhZVkAOCAJDXtW0FERNRV1Nf7t71IY/v27cOhQ4cQGxvrNSmj0WhQUVEBp9MJWZYRHh6u9pySJEmtcunZsyfef//9szYx37ZtG3r18lwESZIkZGVlYcOGDaipqfGaCMrKyvJ7Uspb4qm4uBgbNmyAwWDw+TrcySeLxYLg4GDExMTA4XAgLy8Pu3fvRmlpKerq6mCz2dTKL5PJBKfTifLycnz55Ze45JJLfE5OybKM2NhYxMbGYsiQIWryrvH0v/Ly8ibPczqdTVYGjIqK8qiqCgsL69DXSwUFBfjyyy9hs9lgMpkQGhrq8XPwlsik01qdmBoyZAiOHz/OxFQA5VQexyFzERJM4TBqdDhQXeiRlAJOfx7fmreOJlkHGRJqldNvEt3pqMbHcb/9a4syaw0e3bsKawuy8diAazAxbgDSQhKQU3kcUfpgaGUNHIoTxdYq1DvtcAoFOlmL3+3/l0efKkmSEKEPRpDGgHJbDWod1oBUT2kkGRPiBmBC3ACUWqvxUcEerCnIxvG60ys8nrLXYeXPX2Plz19jaEQPzEgZjasShyJYG/jsfmt5JqpO96jSSo2bqeugkzX47lQeSq01iNaHsPn4eUoo5oYkVEMySlhaeIbW1dBbk+TqEyVFqS8shLMCkCLgWqWuYRU72HG6QbkDgNS2leokE1xJJGfDORqV4ksAhKZhal1DdZb61fgYEZAMkwFNKkT9GdPz3IQARC2EfRegSfU8r9d/nrkKHxERdX0mU/v9O+aeFlZYWOg1KeOeqqbRaCCEgMViURfFAlyVOOXl5fj+++9bbGJeXFyM7OxspKamelRo9erVCxdeeCG+/fZb1NTUqD2s4uPjW10501J/q5ZWAXRPiYuIiGixGbvVavVaddWvXz/s378fiqIgMjISer0eFosFNpsNFosFWq0WOp0OwcHBqK2txe7du5GcnHxOSSFJkhAWFoawsDD0798fAGC1WlFUVKRWVJWUlHhMqXOrqKhARUUFfvzxRwBQ75f7KzY2tt1WehVCYPfu3bDZbAgODoYsy+oKiaGhoc0mMum0Viembr31Vjz//PMoKytDWlpak8Zu7kbj1H7KbDWwKw4YZC3KrDXNTqXz3hq9eTGGUBg1ehw1l8AJBXJDn6kzj+KvtI9dcSKn8jjuzF6OyxOG4ISlEtWOOpyy16rTE6WG/7SSjEh9EHZXHMOd2cvx1uh7PKYC6jVaJJoiUWOzoNxWA1sAqqfcYg1huLvvJbirz0TsrjyGNQXZ+PTkPtQrp+dPf3cqD9+dysNzuetxZeIwzEwZjaERTedldxXuRJVNnG6m/m3FMXyY/w1KrTVwCgWSJCE1KAr39r0UE+IGBHrI1I6EqHdVQrmn56lT/5ojuVbOkxMbGpa7V85r9Li6il4PQM4FnMVwJafOTPT4YaU6OQ6QIwFnGVyVWd7OEQ/oRgH2XYBSCQg7AAFIQYB2GCT9UNcnj85i1+OS0fM4QMP3RtfjSomP5+UqfERERGfjcDigKArMZnOTpEzjXlKSJKnT1tz9oNzNyauqqpptYm6z2VBdXQ2Hw4GtW7dCr9d7TJtzJ3fcKw+GhIRgxIgRGDFiRKte659tep47udXSKoA6ne6sFWru6z169ChycnK8Vl3l5eVBq9UiIiICtbW1MJvNMBgMMBqNatN0g8EAu90Oo9GIyspKlJSUID4+3udrPRuDwYCePXuqhTFOpxOlpaUeVVUWS9MPPevq6vDTTz/hp59+Uq81ISFBTVQlJCSoC6C1VUlJCSorK2E0GjvFaoxdUasTUw8++CAA4PHHH1e3ucv+2rP5OZ3mnvZWr9hRanW94Tvdovzc1St2xBrCEKYzwSGcsCnOhpX/Th9VhgwFSqursbxRoKDaXocKuxlvHdsKCYBB1gKSpCZxBAQMsgYaSUa5zQxFEai21+GmHX/G3y98sEkT9VC9CSatHuU2M2rsloD1ngJcfy9GRfXBqKg+eHzAtdhYmIM1BbvwQ3WBuk+d04Y1BdlYU5CNfiHxmJkyBtckD0ekvn2WSO0oO8oO4/c/rEGt3YpIfTDCdEbIkowD1YVY9MNaPC6uxfiY9C7bc4tOE0K4kkRKkWvVOOUUICpafqIU5UpCaRIBOR6SdGaD0IY+UpIOgE5dRU+SAKEbAqF83lC1ZIRaZeSnleokSQJ0o1o+h7YHhCbVlVQSFlclkxznee6WpudBA6AeEBbfz9tFE9hEREQAYLFYoNFo1MRNexBCwOl0NjmHt4qZxn2m3M3J3VP8zmxibrPZcOrUKSiK60PX4OBgSJKE4uJirFu3Tj1e4+ROTU0NduzYgejoaJ+rpVqanueeFtbSKoDusdvtdq9JGIfDAUmScODAAa9VV0II1NbWqtscDgfq6+vVqXw6nQ4ajQZ6vR4mkwkOhwNVVVWwWq0+Xee50Gg0SEhIQEJCAjIzMyGEQFVVFQoLC1FUVITCwkKcOnXK67UWFBSgoMD1XkySJERHR6uJqqSkpHPutVhfXw8hRLMN2QO9GmNX0Op3hZ9//nl7jINaITOyJ/qHJiKn8mfYnO4yRgEJUptSU6dsdZAhI9oQgteG34FwnQnv/Pw1Vv38NaJ0wdBpXD2gCi2VbUyBndZ4CqIMGQ4hIEFAI8mQhKuflU1xQIYMnayBViPBqSg4ZavD3F1/w9ujf6lO63PTyhrEG8MRojGi3FYDq2IPYHrKJUxnws09x+HmnuPwY9UJrCnIxseF36LGcfoTjCPmYjx3YD1ePLgRk+MHYWbKKIyNuaDLTX1ThIK/Hf0StXYr4o3hkCQJVsU11UkIgf2nCrD4x/XoMTIaelnrmvrX0EjdoGm6egl1PurKefZDgJIP11S6FkihDUkoVzJKks5M1EjwTEZp1WRUk0NpewCY7JoCp1TC1aBc49eV6nw9hyRJruqpZg/Uuul5HXFtREREgRQUFKROB2sP7qlz7oRT46SMVqtVkzzuZIs7WeWe2hcfH4/Bgwdj3759KC4uhlarVfetqalRk1LuKWzulfxKS0shSZLHAmEt9aTypqXpeY2P1dIqgO57YbPZEBQU1GQaoMViQUREhNoP68yxuYtPnE6nmrRr/JjValUTY+6kTnBwMKKjo6HVan1e4a8tJElCREQEIiIiMHDgQACu5GfjiqqSkpImje6FECgrK0NZWRm+//57AK6F3BpP/4uKivJp+p+7UsrpdHpNErbnaozdRasTU96W36SOJUsyFqRPw+3fvO5RveROFklw9TxyN+D2lUM40TM4Bn8YfKOa7JElGRtP5iBEa4RJo0etw9owzU54rNbnPm9bwo4TCvTQwCEUKBAwyFo4FFfiTSfLkN1LckoSFMgwO+rx/IGPMTFugNfkTbDOAJNWhwpbLarsdWrz9UAbGJ6MgeHT8ev0q7G56HusLshGdsVP6uN24cR/ir7Df4q+Q5IpEtcnj8L1KaOQaIoI3KBb4ceqQhyrLUWEPqjJP26SJCFMb0JuTSG+P1WAQREpsCoOVEOCJAFaNO5RpYVe5qp/nYlw/Axh3wM4C9Fy8289oElRk1GS7O0TKAmuPk3uVei0Pv+8JW0PV1+ms1UrtZFfznEO0/M64tqIiIgCxf2m/+jRo+1y/MaJpjOTMpIkISQkBFVVVWoSQavVwm63ezQnl2W5SRNzIYTaw8p9HPe/ze7KLEVRmiSJWjuVq6XpeY2PlZiYiJiYmCYJNPf1WywWxMXFob6+vtlm7Onp6fjmm2+8JlQa30tFUaDX69XnN07YuO+ze9XB1NRUj6mSZ67w195MJhP69OmDPn36AHAlhkpKStQ+VUVFRV6rumpqalBTU4NDhw4BAPR6vdpQPSEhAfHx8V4TgHFxcYiMjER5eblaRefWOOGZmJjYTlfc9Z3TPJq8vDy8++676nzNfv364bbbbkOPHvwkt6NMis/AEwOn49G9q+AQTjXpIgPQShqPBFGwxoBa59nLKfWSBiFaI57KuN6jAsldnfX9qXwkmyIRpNXDIGtR57Q1SkhJDQ3R2x5oGveGsiqn3/g2PrKAKykWoQvGwZqTyKk8jhFR3stiZUlGjCEUwRoDyqzVqD9jamIgGTU6TEsejmnJw3G8tgxrCrKx7sRulFlP9+MptFRi2ZHP8NqRzciKScPM1NGYGDcQernzToGrtNfCoTig13n/RMAga1Ftr0Ol/fRSsAICQgA2nO5Rdeaqf8aGqiq+OQ8ModRC1H+E5tPPDdVOaGhILkUB+vFefl4NyShJD1ci6tx/l1usVvKDtp7jXKfndcS1ERERBYIkSbjooovaJTHlTj65q2OioqLgdDo9kjLuKWiSJEGv18NsNnttTt67d29cffXVap8nm83V11en0yEkJAQGg0E9b+NqnDMrc4DWTeVqaXpe42P5sgrgZZddBuB076v6+nqP6zUYDNi1a5fXqiv3VD2n09kksefuL+UeZ01NTZNVB92JP/fKfe4kld1u77AklXscSUlJSEpKwogRIyCEQEVFhUdVVXV1dZPn2Ww25OXlIS8vD8DpVQQbV1W5k54jR47El19+idraWo9Eprf7Qk21+h3B119/jXnz5mHAgAEYPnw4AODbb7/F1KlT8de//hUXXXSR3wdJ3t3T9xKsLchGTuVxGGUtTjnqYHO6J8e5/qIbZC36hyXiqLkEp+zeA6FOkpFgjISQBOIMYR6Puauz5u1ZgROWSkTpQ5BgiMCxuhL17ale1kARrhXa2osiFGgk11KuDiFg0ugQoTOhyFqFMltLjZUBk1aPFE00Km21qLTXdprqKbeewTF4tP9VePCCKfi69ABWF2Tjv6UH1HEKCHxddhBflx1ElD4Y1yWPxIyU0egT0vmaIEfqgqGVtbApDhg1TeeyWxUHtLIWkbrm+2g1t+qfRpJdSSqNDkbZlbBigO8gkhauhErjSin3inU612Pun4VwuhqeK+WuaiA/JqO6Ik7PIyIi8tQ4qeNP7il87mqoK6+8EpIkNUnKJCUl4aKLLoLRaGx2xTvAlZzq1asXTp48ifz8fHz99dcwGo1N+jWdWT10ptZM5Wppet6ZxzozgXZm4smdaHNfx5nXK4Q4a9WVO/FksVjUZF5wcDDMZrM6pdFms7W46qBGo4FGo1Gbpp+ZpOrIRJW7v1R0dDQGDXL1LDabzR6JqrKysiZjUhQFxcXFKC4uxt69ewEA4eHhao+qkSNH4sCBA6iqqlJXLjyX1RjPR61+d/Diiy9izpw5+L//+z+P7UuWLMGSJUuYmOpAsiTjsQHXYN6eFaix16OHKQYCCuqcdpjt9bAoNpg0ekAAfULikFtdCMsZK/gZJS2i9CEwO+qRGdkTmZE9m5xnUnwGXh9xJ54/8DEO1pyEXXEgXBeEarsFAgJ2xalWS8kNyQOnEBDnWEPlbUqgUyiQFaerG4skIcEYAavihE7WIkYf6ttxJQlRhhAEaw0os9bA4rQFtDm6NzpZg0nxGZgUn4GS+ip8dGIP1hRkI6+uXN2nwlaLFce+wopjX2F4ZC/MTBmNKQlDEaT1z6oSbTUwPAm9g2NxqPok4o26Jv+4VdnqkBaWiIHhvq9I4ZmocsLsqIcECbIkw9TQm8oouxJWXa0nV1chSQbAdBOEMw9Q6gDH9wCCmq40B8A1Na/h5yCZ4Gpe7r0Z5PmC0/OIiIhOy8/P9/sx3ZVS7mTKJZdcok7lai4p4+txk5KSkJiYiEOHDqG4uFituHKTZVntx+ROsrgfb+1ULl+m5515rMYJtOau0X0d3q7vbFVXQUFBGDFiBH766SePxFfPnj0xcOBAREREtPqeyrIMg8EAg8GgVha5v9w/w44WEhKCCy64ABdccAEAV7VUcXGxmqgqKipSp3I2VlVVhaqqKhw4cACAq99UVFQUEhMTMWzYMCQlJfH1ng8k0cqf+uDBg/Hxxx+jV69eHtuPHTuGa665Rm0cdj4zm80YMWIE9uzZc86d/Vvji+IfPJJGOlmL/qGJuDx+MP529AvU2OsRpQ+BTXEgr64MDuGEBAk6WQOnEFCEAlmSMCSiB54fcnOTZuJuilCQU3kcZbYaxOhDUWGrwVP7VyOn8jgcQoG2oZolVGtCibUaOklWp+PJDX2pzkwEyZAgQ/Jogu7eLkmSR2WTFjJMWj0SjBEI1RpxwlKJwRGp+OTi37Q6GSGEQJW9DhW2WjjasdLLHxShYFfFUawpyManRd/DpjTt7ROsMeDqpEzMTB2NjLCUgAe/nY1W5QvXB8EguxrnV9nqEKwzYGHGDFwYc4Hfzudqm+36nTHKOpg0ehgaElUaHxoWdgUdHVeaI4QTwnEcsG6Bq1G5O+GkgSshpXP1ToIdknESJE3nq+ojotM6S2whou7Dl7jy2WefYceOHW06j7tSxd0XyG63Q5IkREZGYtKkSWpSyp+8rZZXV1cHs9nskUxxNwPXaDTqlDr3Snrnep7G0/Nac6zWXJu76kpRFMiyjJiYGLXaRwhxzsk9XwkhPPpSdUTzdF8pioLy8nKP1f9qa2vP+pxJkyZh/PjxHTTCrq3VFVNRUVHIzc1tkpjKzc1FdHS0v8ZFrTApPgMT4wZ4JI0yI3tClmRkRvbySFpF6oNhcdpQ67DCrjghSxKCNHpE6UNwoq4S8/aswOsj7vSanJIluUkvpwhdMK7930swyFoEaQwI0uhR57Sh1FoNAQG9rIVDOJFiioJW0qCwvhIWp62h2sUVyCRITUqkZEmCSaNHmM6EYksVnFAQbQhFojEcVsWJE5ZKhOqMWJA+7ZwqZCRJQoQ+WK2eqnVYO131lJssyRgT3Q9jovvhiYF12FCYg9X53+BAzUl1n1qnFf/M34l/5u9E/9BEzEwZjauThiNCH5iVHy6MuQALM2bgb0e/xLHaUlTb66CVtUgLS8Q9fS7xa1IKaNT8XwjUOq2odVrV5KZR1iFCF4xgXfuUjJ8vhBCAUgKhWF2JJykMEGa4GnrrodY6CgcgqgBNJCDHBnjURERE1BmFh4e36fkajQZ2ux0lJSWYOnVqi1Py/OXMaXNmsxlWqxWyLCM0NBQajQbV1dWw2+04deoUTCYTEhISWj2Vy9fpef6+trNVXTVXceVPkiRBp9OpUxgD1TzdG3d/qdjYWAwdOhRCCNTU1KgVVYWFhaioqPB4jrcKK/Ku1YmpG264AU899RTy8/M9eky98cYbmDNnjr/HRz7yljQCmiatovTBeGLfh8g59TMidcHQyVoEafWQ4Co7PWGpPOtKd2eqsNdCAhCtD1H3D2poVm1x2qGVXLUsWlmDcF0QJABHa0vV6XgVNrPH9EKjrEO0IQShWpM6Lg1kFFurAQkoslZBJ2sxOCIVC9KnNVvd5SudrEWiKRI1NgvKbTUezdc7o3BdEG7peRF+0WMcfqw+gX/lf4ONJ/fC7KhX9zlYcxJ/yP03/nRwIy6LH4SZqWMwOqpPh09xuzDmAoyO7osfqwpRaa9FpC4YA8OTOmwcSkOiqs5pRbDWAICJqXMlHHmN+iOZ4OoXZWx41N5QIaU0/Ln5ht5EREREAJCSkqJOeztXBoMBVqsV//vf/zB79uwOe93hTuAUFhZiw4YNqKqqQnh4uHr+2NhY2Gw21NbWIjIyErfccovXvlO+nqe9q5Qa64jkU2t0lubp3kiShLCwMISFhaF///4AgPr6ehQVFaGoqAhGo5HVUq3Q6sTU/fffj5CQEKxYsQIvvfQSANfyiA888ABuu+02vw+Q2q5x0mpPxTEcMhchwRjh6j/ViCRJiNKHtLjSXWMx+lDoGqZpuY8nNSSd8urKYFeckCTX1Lw6hw3VjnrEG8ORYApHqbUGITojgjQGWBRXcqpfSLxH4kIIAaviwPjY/nh20A2osNd6VIT5S6jeBJNWj3KbGTV2S6etnnKTJAkZ4SnICE/BggHT8OnJfVhdkI09lcfUfWyKAxtP7sXGk3uRaorC9SmjMT1lJOKNbfuEqjVkScagiJQOOx/5n3DkQVg/B4StIRmlByAA5RQAByAHNVROOcGG3kREROSLpKQkREVFoby8vOWdvVAUBdXV1QgODkZZWRlOnjzZoQkV9wp1dXV1CA4ObpIs0uv1kCQJNTU1KCoqOuexdbZEUSB5a55us9nUqqRAJ6oAV3+pXr16oVevXjAajV6b15N3rU5MSZKEOXPmYM6cOTCbzQDAngRdSJmtBnbFAYPs/Udv1GhRaXf4tNIdAGRG9kT/0ER8fyofyaZINSiH6UzoYYrG8boySJKMaofFo9LpzKmHp+y1uG/P2yi0nEKUPgRGjRb1TgcqbGZ1yt6o6L5+uw/eaGUN4o3hCNEYUW6rgVWxd/L0lItJo8d1KSNxXcpIHDOXYHVBNv59Yg/KbWZ1n3xLBV45/B/8+fCnuDg2HTNTR+Pi2AHQyed3Q2o6OyGEq1JK2AApuKHRubvCUefaDgNgmAwJ9WzoTURERD6RJAlXXXUVVq1a1eqEgkajURud19fXQ6fToa7O++rj7amurg6Koqir1p1Jq9Wivr4+IGPr7ho3T1cUBQ6HQ01SdfQKf+QfbVqzmwmprsdbhVNj9U5Hq1a6kyUZC9KnYd6eFThhqfRIKlU76pEaFI1H+1+F3iFxTSqdzqzIarzyX6Xd4dcpe60RrDPApNWhwlaLKnudRwP2zq53SBx+nX41Hk67EltLfsTqgmxsKz2oVoApENhamoutpbmI0YfgupRRmJEyCr2C2QuIvFBKXNP3JGPT1fckCYAREKdcnxpqegVihERERNRF9enTB6NGjUJ2drbPz9FoNOq0OFmW4XA4oNPpEBTU8X1Vg4KCPMZwJofDAVmWAzK284ksy9Dr9dDr9Z1mhT9qPZ8SU9OnT8c777yD8PBwXHfddWf9NHzdunV+Gxz5X3MVToCrOqLCZsbgiFRkRvb0+ZiT4jP8klQ6WxP3jiZLMmIMoQjWGFBmrUa94nA11+4idLIGlyUMxmUJg1FkOYW1J3ZhbcEunLBUqvuU2cx48+iXePPolxgZ2QczU0fj8oTBXhOWdJ4SFrim6Bmb2UEDoL5hPyIiIqLWueKKK3D8+HEUFxe3uG/jpBQAtTImNDQUiYmJ7TlMrxITExETE4Pi4mJotdom76ssFgvi4+MDMrbzlSRJHkmqzrrCHzXlU2Jq8uTJ0Ov16p85TaPrOluFU+Npc61NBvkrqdRcE/dAMWn1SNFEo9JWi0p7bZeqnnJLMEXgvn6X4d6+k7Gz/AhWF2RjS9F+2Bs1et9deRS7K4/iDz9+hKlJmZiZMhoZ4ewNdd6TTHAln5zw/s9FQ18pydShwyIiIqLuQZIkTJkyBWvXrlXbxLiTT4py+nW3LMtNpmgpigJJkjBixIiAvD+VJAlZWVnYsGEDampqYDKZoNVq4XA4YLFYYDAYkJWVxffOAdKZV/ijpiTBn4jfmc1mjBgxAnv27Om00x2/KP5BrXCyK64Kp/6hiR0+ba4rsTrtKLPWwOK0dfrm6C2ptNVi/YlvsaYgG4fNRV73GRCWjJkpo3F1UibCdF038SABiDWEIUIfHOihtEkg4ooQAqJ+LeAsa9RjSn0QELWuZufG6/mii6iL6gqvWYioazmXuHLs2DFs3rwZJSUlakJKkiRotVp1OpzZbIbD4QDgeo0iyzLi4uJw9913B/R1yLFjx7Bt2zaUlZVBURTIsoyYmBhkZWWhd+/O84E7ndYRK/wZjUYEB3ft9x8dqdWJqcmTJ2P16tWIjIz02F5dXY3p06fj888/9+sAu6Ku8iJPEUqnmDbXlQghUGWvQ4WtFo5GFUddlRAC+6rysaYgGxsL96LOaW2yj0HW4vKEIZiZMhqjovp0uQQEE1Nt03RVvoYKKlEPSHpIhslcgY+oC+sqr1mIqOs417gihEBhYSEKCgoAACkpKbBardi4cSOsVitMJpNHDyGTyYSrr766UyR/hBA4efIk6urqEBQUhMTExC73mvl85V7hz73KH+CfFf6YmGqdVjc/P3HihEdZpZvNZvNpbjB1Hp1t2lxXIEkSIvTBCNIYUG6rQa3D2qWrpyRJwtCIHhga0QML0qfhPye/w5qCbOScOq7uY1Uc+LjwW3xc+C16BMVgZsooXJs8EnHGsACOnDqKK+k02bU6n1IJoB6AxlUppRvFpBQRERH5hSRJSE5ORnJyssf2q6++uklFUmJiYqeqSJIkCUlJSYEeBp0DrvDXOficmGpcCfX1118jNPT0qm2KomDHjh1NgghRd6XXaJFoikSNzYJyWw1s3aB6KlhrwIzU0ZiROhpHaoqxpiAb/z6xB5X2WnWfvLoyvHToE7xy+FNMjB2AGamjMT6mP7SyJoAjp/YmaXsAmlTXKn3C4uopJcfxk0AiIiJqd71790avXr1YkUTtjiv8BY7Pian7778fgCsb/Nhjj3keRKtFcnJyk+1E3V2o3gSTVo9ymxk1dkuXrp5qrF9oPBYMmIZH0q7EFyU/YHVBNraXHVZXJnQKBZ+X/IDPS35AnCEM01NG4vrkUegRHBPgkVN7kSQJ0MQHehhERER0HmJFEnU0rvDXsXxOTB04cAAAMGnSJKxevRpRUVHtNiiirkQraxBvDEeIxohyWw2sir2bpKdclWFXJA7FFYlDccJSiXUFu7C2YBdO1p9S9ymxVmP5T19g+U9fYExUX8xMHYPL4gfBoNEFbuBERERERER+wBX+2l+re0x98cUX7TGOTuf999/HW2+9hdLSUqSnp+PJJ5/EkCFDAj0s6sSCdQaYtDpU2GpRZa+DUzTtxdaVJZsi8cAFl2Nev0uxvewQ1hTswhfFP8DeaBrjNxU/4ZuKnxCuM2Fa0nDMTBmN/mH8dIuIiIiIiLoHrVYLrVYLk8nUISv8nQ98SkytXLkSs2bNgsFgwMqVK8+672233eaXgQXSpk2bsHjxYixcuBBDhw7Fu+++i7lz5+I///kPoqOjAz086sRkSUaMIRTBGgPKrNWoVxzq9LfuQiPJGB+bjvGx6aiwmrG+cA9W52fjp9oSdZ8quwWrjv8Pq47/D4PCUzAzZTSmJmYiRGcM4MiJiIiIiIj8R6PRQKPRwGg0eqzwxx5oreNTYuqdd97BtGnTYDAY8M477zS7nyRJ3SIx9fbbb+PGG2/EjBkzAAALFy7E1q1bsWbNGtxzzz0BHh11BSatHimaaFTaa3HKVgdHN2iO7k2UIQRzek/A7b0uxt5Tx7G6IBufnNwLi9Ou7rO/qgD7qwrw/IGPMSVhCGamjMHwyF4M1kRERERE1G00XuGPWsenxFTj6XvdfSqfzWbDDz/8gF/+8pfqNlmWMW7cOOTk5DT7HJvNpn5vNpvbfZzU+UmShCh9CII1BpRba1DntHWb5uhnkiQJmZG9kBnZC79Nvwabir7DmvxvsK8qX93H4rTjoxN78NGJPegdHIsZKaNxbfIIxBhCz3Lk8xfjChG1B8YWIvI3xhUiaqtW95hatmwZ5s6dC5PJ5LG9vr4eb775Jh544AG/DS4QKisr4XQ6m0zZi46OxtGjR70+Z/ny5Vi2bFlHDI+6IINGh6SgKNTYLCi31cAunN00PeUSojPixtQxuDF1DA7VnMTq/GysL/wWVfY6dZ9jtaVYcnAjlh76BJfEDcSMlNHIiu0PjSQHcOSdC+MKEbUHxhYi8jfGFSJqK0m0sjvXgAEDsG3btiaJm8rKSowbNw65ubl+HWBHKy4uxsUXX4x//OMfyMzMVLe/8MIL2LVrF/71r381eY63TwkmTJiAPXv2ICQkpEPGTV2DU1FQbqtBjaO+2zVHPxur044txT9gTUE2dpQf9rpPgjEc05NHYUbKKCQH+W/VTwlArCEMEfpgvx2zIzCuEFF7YGwhIn9jXCGitmp1xZQQwmtvmAMHDiA8PNwvgwqkyMhIaDQalJeXe2wvLy9HTEyM1+fo9Xro9fqOGB51cRpZRpwxHKEOU7dtju6NQaPD1KRhmJo0DPl15VhbsAvrCnaj2Fql7lNUX4XXf9qCv/70OcZG98PM1DGYHJcBvabVYapbYFwhovbA2EJE/sa4QkRt5fM7vlGjRkGSJEiShClTpngkp5xOJ+rq6nDTTTe1yyA7kl6vR0ZGBnbs2IFLL70UAKAoCnbs2IHZs2cHeHTUXZwvzdG9SQ2Kxq/SrsADF1yObaUH8a+Cb/BVSS4cDRVkAgLbyw9je/lhROiCcE3yCMxIGY200IQAj5yIiIiIiIj8zefE1OOPPw4hBB5//HE8+OCDCA093bBYp9MhOTnZY+pbV3bHHXdgwYIFGDRoEIYMGYJ3330XFosF119/faCHRt2Iuzl6iMaIclsNah3Wbtsc3RuNJGNC3ABMiBuAUms1/n1iD1bnZ+N4XZm6zyl7HVb+/DVW/vw1hoT3wMzU0bgqcSiCtcYAjpyIiIiIiIj8xefE1PTp0wEAKSkpGD58OLTa7ju95qqrrkJFRQVeffVVlJaWYsCAAXjzzTebncpH1BZ6jRaJpkjU2CyosJthUxznUXrKJdYQhrv6XIK5vSdiT+UxrC7Ixqcn96Fesav77KvKw76qPDyXux5XJA7FzJTRGBbR0+vUYiIiIiIiIuoaWp1dGj16NPLy8rBmzRrk5+fjiSeeQHR0NL766iskJSXhggsuaI9xdrjZs2dz6h51qFC9CUFaAypsZlQ7LOdVc3Q3SZIwMqoPRkb1wRMDrsWGwhysKdiFH6oL1H3qnDasLdiFtQW70DckHjNTRuPa5BGI7GLNzYmIiIiIiAho9drs2dnZmDZtGvbt24fPPvsMdXWuJeAPHjyIP//5z34fINH5RCPLiDWGIckYiSCNHhLO32qgUJ0JN/cch9UX/QprL3oYt/S8CGFak8c+P5mL8fyBjzHhi2fwSM57+F/pQSjnYUKPiIiIiIioq2p1YurFF1/Eww8/jLfffhs6nU7dfuGFF2Lv3r3+HBvRecuk1SPZFIUYQwi0kibQwwm4AWHJ+N3A6/DVpCfxwpCbMTqqr8fjduHEf4r24a7db+Kyr57Da4c/Q6GlMkCjJSIiIiIiIl+1eirfoUOHsGTJkibbo6KiUFnJN4JE/iJJEiL1IQjWGFFhq4H5PGuO7o1Ro8O05OGYljwcx2vLsLZgF9ad2I1Sa7W6T6GlEsuObMZrR7bgopgLcEPqGNyYemEAR01ERERERETNaXXFVGhoKEpLS5tsz83NRXx8vF8GRUSn6TVaJJgikWAMh0HWnseT+zz1DI7BI/2vxBcTH8drw+dgUtxAaKTTIU1AYFvZIfwq5z2M2fIUjtQUBXC0RERERERE5E2rE1NTp07FkiVLUFpaCkmSoCgK9uzZg+effx7XXXddOwyRiAAgRGdCiikakfoQjwTM+U4razApPgOvjbgDX0x8HI+kXYkeQdEe++TVlWNtwa4AjZCIiIiIiIia0+qpfI888ggWLVqEiRMnwul0YurUqXA6nbj66qsxb9689hgjETXQyDJiDKEI0RhQZquBxWmHOM+n9zUWZwzHPX0n4a4+E7Gr4ijWFGTjs6LvEaYz4aqkYYEeHhEREREREZ2h1YkpvV6PZ599Fvfffz8OHTqE2tpaDBw4EL169WqH4RGRN0atHsmaKFTZ61Bpq4VdOAM9pE5FlmSMie6HMdH98NwQBdH6UMQawwI9LCIiIiIiIjqDz4kpRVHw5ptv4osvvoDdbsfYsWPxwAMPwGg0tuf4iKgZkiQhQh+MYK0B5VYzzI768745ujcaSYZO5sqGREREREREnZHPjWpef/11vPzyywgODkZ8fDxWrlyJhQsXtufYiMgHOlmLBFMEEowRMMo6NkcnIiIiIiKiLsPniql///vf+P3vf4+bbroJALB9+3bcc889+MMf/gBZZiNmokAL0RkRpNWj0laLU/Y6OIUS6CERERERERERnZXPGaXCwkJMmDBB/X7cuHGQJAklJSXtMjAiaj1ZkhFtCEWKKRLBGgNk1k8RERERERFRJ+ZzYsrpdMJgMHhs02q1sNvtfh8UEbWNQaNHkikSMYZQ6CT2VyIiIiIiIqLOyeepfEIIPPbYY9Dr9eo2m82Gp59+GiaTSd22bNky/46QiM6JZ3P0GpgdVjZHJyIiIiIiok7F58TU9OnTm2y75ppr/DoYIvI/V3P0SJjtFpTbzLApDqaniIiIiIiIqFPwOTG1ePHi9hwHEbWzEJ0JJo0BFTYzqh0WNkcnIiIiIiKigONyekTnEY0sI9YYhkRjBEyyjq3RiYiIiIiIKKB8rpgiou4jSGuAUaPDKVsdKu21rJ4iIiIiIiKigGDFFNF5SpZkRBlCkGKKRLDGAIn1U0RERERERNTBmJgiOs8ZNHokmSIRawiFVtIEejhERERERER0HmFiioggSRIi9MFIMUUhVGuEzOopIiIiIiIi6gBMTBGRSq/RItEUiXhDOPSShukpIiIiIiIialdsfk5ETYTqTTBp9Si3mVHjsEARItBDIiIiIiIiom6IFVNE5JVW1iDeGI5EQySMso7VU0REREREROR3rJgiorMK1hlg0upQYatFlb0OTqEEekhERERERETUTXSJiqmCggI8/vjjmDRpEoYMGYJLL70Ur776Kmw2m8c+/fv3b/K1d+9ej2N98sknuOKKKzB48GBMmzYNX331lcfjQgi88soryMrKwpAhQzBnzhz8/PPPHXCVRJ2XLMmIMYQi2RiJII0eEuuniIiIiIiIyA+6RMXU0aNHIYTAokWL0LNnTxw6dAhPPvkkLBYLFixY4LHvO++8g379+qnfR0REqH/+9ttvMX/+fDz66KO45JJL8PHHH+P+++/H2rVrkZaWBgB444038N577+G5555DSkoKXnnlFcydOxebNm2CwWDokOsl6qyMWj2SNVE4Za9Fpa0ODuEM9JCIiIiIiIioC+sSFVMXX3wxFi9ejKysLKSmpmLy5Mm488478dlnnzXZNyIiArGxseqXTqdTH1u5ciXGjx+Pu+66C3379sXDDz+MgQMHYtWqVQBc1VIrV67EvHnzcOmllyI9PR0vvPACSkpKsGXLlg67XqLOTJIkROpDkGKKQojGAJnVU0RERERERHSOukRiypuamhqEh4c32T5v3jyMHTsWN998Mz7//HOPx/bu3YuxY8d6bMvKylKn+xUUFKC0tBTjxo1THw8NDcXQoUORk5PT7FhsNhvMZrPHF1F3p9dokRQUhThDGPSSJtDD6XYYV4ioPTC2EJG/Ma4QUVt1ial8Zzp+/DhWrVrlMY0vKCgIjz32GIYPHw5JkvDZZ5/h/vvvx2uvvYbJkycDAMrKyhATE+NxrOjoaJSVlQEASktL1W3N7ePN8uXLsWzZMr9cG1FXE6YPQpDWgDJrDcyOeigQgR5St8C4QkTtgbGFiPyNcYWI2iqgiaklS5bgjTfeOOs+mzZtQt++fdXvi4uLcdddd+GKK67AjTfeqG6PiorCHXfcoX4/ZMgQlJSU4K233lITU+3ll7/8pce5zWYzJkyY0K7nJOpMtLIGCaYImO31KLfVwKY4mJ5qI8YVImoPjC1E5G+MK0TUVgFNTN15552YPn36WfdJTU1V/1xcXIzbbrsNmZmZeOaZZ1o8/tChQ7F9+3b1+5iYmCaVT+Xl5WoVVWxsrLotLi7OY5/09PRmz6PX66HX61scD1F3F6IzwqTRo8JmRrXDAqdQAj2kLotxhYjaA2MLEfkb4woRtVVAE1NRUVGIioryaV93UiojIwOLFy+GLLfcHis3N1dNNgHAsGHDsHPnTsyZM0fdtn37dgwbNgwAkJKSgtjYWOzYsQMDBgwA4Mr4f/fdd7j55pt9vzCi85hGlhFrDEOIw4gyazXqFQcE66eIiIiIiIjIiy7RY6q4uBi33norkpKSsGDBAlRUVKiPuRNP69atg06nUxNKmzdvxpo1a/Dss8+q+95222249dZbsWLFCkyYMAGbNm3C/v37sWjRIgCu1cZuu+02vP766+jZsydSUlLwyiuvIC4uDpdeemkHXjFR12fS6pGiiUalrRaV9lpWTxEREREREVETXSIx9b///Q/Hjx/H8ePHcfHFF3s8dvDgQfXPf/nLX1BYWAiNRoM+ffrg5ZdfxhVXXKE+Pnz4cCxZsgRLly7FSy+9hF69euG1115DWlqaus/dd98Ni8WCp556CtXV1RgxYgTefPNNGAyG9r9Qom5GkiREGUIQ3NAc3eK0sTk6ERERERERqSQhBN8l+pnZbMaIESOwZ88ehISEBHo4RJ2CEAJV9jpU2mphF84OO68EINYQhgh9cIedsz0wrhBRe2BsISJ/Y1whotZquVETEZEfSJKECH0wUoKiEKY1QoYU6CERERERERFRgDExRUQdSidrkWCKRIIxHAZZy/QUERERERHReaxL9Jgiou4nRGeCSWNAua0G1Q4LFM4qJiIiIiIiOu+wYoqIAkYjy4gzhiPJGAmjrGP1FBERERER0XmGiSkiCrggrQEpQVGI0odAIzEsERERERERnS/4DpCIOgVZkhFtCEWKKRJBGj0k1k8RERERERF1e0xMEVGnYtDokWyKQowhBFpJE+jhEBERERERUTtiYoqIOh1JkhCpD0GKKQqhWiNkVk8RERERERF1S0xMEVGnpddokWiKRJwhDHpWTxEREREREXU72kAPgIioJWH6IARpDSi3mVFjt0CBCPSQiIiIiIiIyA9YMUVEXYJW1iDeGI4EYwSMso6T+4iIiIiIiLoBVkwRUZcSojMiSKtHha0WVfY6OIUS6CERERERERHROWLFFBF1ObIkI8YQiiRjBII0ekisnyIiIiIiIuqSmJgioi7LpDUg2RSFaEMItGyOTkRERERE1OUwMUVEXZokSYjShyDZFIkQjQEyq6eIiIiIiIi6DCamiKhbMGh0SAqKQqwhDDpWTxEREREREXUJbH5ORN1KuD4IQVo9yq1mmB31EBCBHhIRERERERE1gxVTRNTt6GQtEkwRSDCGQy/rAj0cIiIiIiIiagYrpoio2wrRmWDSGGBXHIEeChEREREREXnBxBQRdWsaWYZG1gd6GEREREREROQFp/IREREREREREVFAMDFFREREREREREQBwcQUEREREREREREFBBNTREREREREREQUEF0mMTVp0iT079/f4+tvf/ubxz4HDhzAL37xCwwePBgTJkzAG2+80eQ4n3zyCa644goMHjwY06ZNw1dffeXxuBACr7zyCrKysjBkyBDMmTMHP//8c3teGhERERERERHReanLJKYA4KGHHsK2bdvUr9mzZ6uPmc1mzJ07F0lJSVi7di1+85vfYNmyZfjnP/+p7vPtt99i/vz5mDlzJj766CNMnjwZ999/Pw4dOqTu88Ybb+C9997D008/jQ8//BAmkwlz586F1Wrt0GslIiIiIiIiIurutIEeQGsEBwcjNjbW62Pr16+H3W7HH//4R+j1elxwwQXIzc3F22+/jVmzZgEAVq5cifHjx+Ouu+4CADz88MPYvn07Vq1ahUWLFkEIgZUrV2LevHm49NJLAQAvvPACxo0bhy1btmDq1Klez22z2WCz2dTvzWazPy+biM5DjCtE1B4YW4jI3xhXiKitulRi6o033sDrr7+OxMREXH311ZgzZw60Wtcl7N27FyNHjoRer1f3z8rKwhtvvIGqqiqEh4dj7969mDNnjscxs7KysGXLFgBAQUEBSktLMW7cOPXx0NBQDB06FDk5Oc0mppYvX45ly5b5+WqJ6HzGuEJE7YGxhYj8jXGFiNqqyySmbr31VgwcOBDh4eHIycnBSy+9hNLSUvz2t78FAJSVlSElJcXjOTExMepj4eHhKCsrU7e5RUdHo6ysDABQWlqqbmtuH29++ctf4o477lC/r6mpwcSJE/lpAdF5Ljg4GJIkndNzGVeIyJu2xBWAsYWImmJcIaL20JrYEtDE1JIlS7w2KG9s06ZN6Nu3r0ewS09Ph06nw+9//3vMnz/fo0oqEPR6vccY3EF4woQJgRoSEXUCe/bsQUhIyDk9l3GFiLxpS1wBGFuIqCnGFSJqD62JLQFNTN15552YPn36WfdJTU31un3o0KFwOBwoKChAnz59EBMT06Sqyf29u0rK2z7l5eXq4+7+VeXl5YiLi/PYJz093efriouLw1dffeVThtBsNmPChAn46quv2vQPwvmC98t3vFe+a697FRwc7LdjtSauAPz5twbvle94r3zXFeIKwNcs7Yn3y3e8V75rj3sVyLgC8OffGrxXvuO98l1neM0S0MRUVFQUoqKizum5ubm5kGVZnXY3bNgwLF26FHa7HTqdDgCwfft29O7dG+Hh4eo+O3fu9OgztX37dgwbNgwAkJKSgtjYWOzYsQMDBgwA4Pohfffdd7j55pt9Hpssy0hISGjV9YSEhPAvTCvwfvmO98p3nflenUtcATr3NXU2vFe+473yXWe/V3zN0v54v3zHe+W7znyv+Jql/fFe+Y73yneBvFdyQM7aSjk5OXjnnXdw4MAB5OfnY/369Vi8eDGuueYaNek0bdo06HQ6PPHEEzh8+DA2bdqElStXekwBvO222/D1119jxYoV+Omnn/DnP/8Z+/fvx+zZswEAkiThtttuw+uvv47PP/8cBw8exG9+8xvExcWpq/QREREREREREZF/dInm53q9Hps2bcKyZctgs9mQkpKCOXPmeCSdQkND8dZbb2HRokW4/vrrERkZifvuuw+zZs1S9xk+fDiWLFmCpUuX4qWXXkKvXr3w2muvIS0tTd3n7rvvhsViwVNPPYXq6mqMGDECb775JgwGQ4deMxERERERERFRd9clElMZGRn48MMPW9wvPT0dH3zwwVn3ufLKK3HllVc2+7gkSfjVr36FX/3qV60e57nQ6/V44IEHAt7Avavg/fId75XvuuO96o7X1F54r3zHe+W77nivuuM1tSfeL9/xXvmuO96r7nhN7YX3yne8V77rDPdKEkKIgJ2diIiIiIiIiIjOW12ixxQREREREREREXU/TEwREREREREREVFAMDFFREREREREREQBwcQUEREREREREREFBBNTAfb+++9j0qRJGDx4MG644Qbs27cv0EPyq127duHee+9FVlYW+vfvjy1btng8LoTAK6+8gqysLAwZMgRz5szBzz//7LHPqVOnMH/+fAwfPhwjR47E448/jtraWo99Dhw4gF/84hcYPHgwJkyYgDfeeKPJWD755BNcccUVGDx4MKZNm4avvvrK79fbFsuXL8eMGTOQmZmJsWPH4r777sPRo0c99rFarVi4cCHGjBmDzMxMPPjggygrK/PYp7CwEPfccw+GDh2KsWPH4vnnn4fD4fDY55tvvsH06dMxaNAgXHbZZVi7dm2T8XTm380PPvgA06ZNw/DhwzF8+HDMmjXL4+d5vt+nzjgmf2Ns8Q3jSuswtpxdZxyTPzGu+I6xxXeMK2fXGcfkb4wtvmFc8V23jCuCAmbjxo0iIyNDrF69Whw+fFj87ne/EyNHjhRlZWWBHprfbN26Vbz00kvis88+E2lpaWLz5s0ejy9fvlyMGDFCbN68WeTm5op7771XTJo0SdTX16v7zJ07V1xzzTVi7969YteuXeKyyy4Tjz76qPp4TU2NGDdunJg/f744dOiQ2LBhgxgyZIj4xz/+oe6zZ88eMWDAAPHGG2+II0eOiJdffllkZGSIgwcPtv9N8NGdd94p1qxZIw4dOiRyc3PF3XffLSZOnChqa2vVfZ566ikxYcIEsX37dvH999+LG2+8UcyaNUt93OFwiKuvvlrMmTNH/Pjjj2Lr1q1izJgx4sUXX1T3ycvLE0OHDhWLFy8WR44cEe+9954YMGCA+O9//6vu09l/Nz///HOxdetWcezYMXH06FHx0ksviYyMDHHo0CEhxPl9nzrjmNoDY4tvGFdah7GleZ1xTP7GuOI7xhbfMa40rzOOqT0wtviGccV33TGuMDEVQDNnzhQLFy5Uv3c6nSIrK0ssX748gKNqP2cGYkVRxEUXXSTefPNNdVt1dbUYNGiQ2LBhgxBCiCNHjoi0tDSxb98+dZ+vvvpK9O/fXxQVFQkhhHj//ffFqFGjhNVqVff505/+JKZMmaJ+/6tf/Urcc889HuO54YYbxJNPPunfi/Sj8vJykZaWJrKzs4UQrnuTkZEhPvnkE3Uf9/3JyckRQrj+4UtPTxelpaXqPh988IEYPny4en9eeOEFMXXqVI9zPfzww+LOO+9Uv++Kv5ujRo0SH3744Xl/nzrjmNobY4vvGFdaj7Gl846pPTGutA5jS+swrnTeMbU3xhbfMa60TlePK5zKFyA2mw0//PADxo0bp26TZRnjxo1DTk5OAEfWcQoKClBaWupxD0JDQzF06FD1HuTk5CAsLAyDBw9W9xk3bhxkWVbLBPfu3YuRI0dCr9er+2RlZeHYsWOoqqpS9xk7dqzH+bOysrB37972urw2q6mpAQCEh4cDAPbv3w+73e5xv/r27YukpCT1Ovbu3Yu0tDTExMSo+2RlZcFsNuPIkSPqPme7F13td9PpdGLjxo2oq6tDZmbmeX2fOuOYAoGxpXmMK75jbDmtM46pozGunB1ji28YV07rjGMKBMaW5jGu+Ka7xBVtq59BflFZWQmn04no6GiP7dHR0U3m0nZXpaWlAOD1HrjnwJaVlSEqKsrjca1Wi/DwcPX5ZWVlSElJ8djH/ZesrKwM4eHhKCsr8/iLd+Z5OhtFUfDHP/4Rw4cPR1paGgDXteh0OoSFhXnsGx0d7XEvzrxO9/ct7WM2m1FfX4+qqqou8bt58OBB3HTTTbBarQgKCsJrr72Gfv36ITc397y9T4wrLowt3jGu+IaxpSnGFsaVs2FsaRnjSlOMKy6MLd4xrrSsu8UVJqaIOqGFCxfi8OHD+OCDDwI9lE6rd+/e+Oijj1BTU4NPP/0UCxYswKpVqwI9LKJOi3HFN4wtRK3D2NIyxhWi1mFcaVl3iyucyhcgkZGR0Gg0KC8v99heXl7eJDPZXcXGxgLAWe9BTEwMKioqPB53OByoqqpSnx8TE9Mk0+/+vvFxztyns97rRYsWYevWrXj33XeRkJCgbo+JiYHdbkd1dbXH/uXl5T7di5b2CQkJgdFo7DK/m3q9Hj179sSgQYMwf/58pKenY+XKlef1feqMYwoExpamGFd8x9jSVGccU0djXPGOscU3jCtNdcYxBQJjS1OMK77pbnGFiakA0ev1yMjIwI4dO9RtiqJgx44dyMzMDODIOk5KSgpiY2M97oHZbMZ3332n3oPMzExUV1dj//796j47d+6EoigYMmQIAGDYsGHYvXs37Ha7us/27dvRu3dvdU7ysGHDsHPnTo/zb9++HcOGDWuvy2s1IQQWLVqEzZs3491330VqaqrH44MGDYJOp/O4X0ePHkVhYaF6HcOGDcOhQ4c8AsT27dsREhKCfv36qfuc7V501d9NRVFgs9nO6/vUGccUCIwtpzGutB1jS+ccU0djXPHE2NI2jCudc0yBwNhyGuNK23T5uNLqdunkNxs3bhSDBg0Sa9euFUeOHBFPPvmkGDlypEd3/K7ObDaLH3/8Ufz4448iLS1NvP322+LHH38UJ06cEEK4lkcdOXKk2LJlizhw4ICYN2+e1+VRr7vuOvHdd9+J3bt3i8svv9xjedTq6moxbtw48etf/1ocOnRIbNy4UQwdOrTJ8qgDBw4Ub731ljhy5Ih49dVXO9XyqEII8fvf/16MGDFCfPPNN6KkpET9slgs6j5PPfWUmDhxotixY4f4/vvvxaxZs7wu/XnnnXeK3Nxc8d///ldceOGFXpf+fP7558WRI0fEqlWrvC792Zl/N5csWSKys7NFfn6+OHDggFiyZIno37+/2LZtmxDi/L5PnXFM7YGxxTeMK63D2NK8zjgmf2Nc8R1ji+8YV5rXGcfUHhhbfMO44rvuGFeYmAqw9957T0ycOFFkZGSImTNnir179wZ6SH61c+dOkZaW1uRrwYIFQgjXEqlLly4V48aNE4MGDRK33367OHr0qMcxKisrxaOPPiqGDRsmhg8fLh577DFhNps99snNzRU333yzGDRokBg/frzXJSo3bdokLr/8cpGRkSGmTp0qtm7d2n4Xfg683ae0tDSxZs0adZ/6+nrx9NNPi1GjRomhQ4eK+++/X5SUlHgcp6CgQNx1111iyJAhYsyYMeK5554TdrvdY5+dO3eKa6+9VmRkZIjJkyd7nMOtM/9u/va3vxWXXHKJyMjIEBdeeKG4/fbb1UAsBO9TZxyTvzG2+IZxpXUYW86uM47JnxhXfMfY4jvGlbPrjGPyN8YW3zCu+K47xhVJCCFaX2dFRERERERERETUNuwxRUREREREREREAcHEFBERERERERERBQQTU0REREREREREFBBMTBERERERERERUUAwMUVERERERERERAHBxBQREREREREREQUEE1NERERERERERBQQTEwREREREREREVFAMDFFdI7+/Oc/49prrw34MXzRv39/bNmypd3PQ0Rtx9hCRP7GuEJE/sa4Qv7ExFQ3tHz5csyYMQOZmZkYO3Ys7rvvPhw9etRjH6vVioULF2LMmDHIzMzEgw8+iLKyMvXxAwcO4NFHH8WECRMwZMgQXHnllXj33XebPeeePXswcOBAnwKLEAIffvghZs2aheHDhyMzMxNTp07Fs88+i+PHj5/7hXcyBQUF6N+/v9evvXv3tss5mwvu27Ztw8UXX9wu5wSAFStWYNSoUbBarU0es1gsGD58OFauXNnicR577DHcd9997TFE8gPGls6BscWFsaV7YFzpHBhXXBhXugfGlc6BccWFccU3TEx1Q9nZ2bjlllvw4Ycf4u2334bD4cDcuXNRV1en7vPHP/4RX375JZYuXYr33nsPJSUleOCBB9TH9+/fj6ioKPzpT3/Cxo0bce+99+Kll17CqlWrmpyvuroaCxYswNixY1scmxAC8+fPx7PPPouLL74YK1aswMaNG/GHP/wBBoMBr7/+un9uQhvYbDa/Hu+dd97Btm3bPL4yMjL8eo6WxMbGQq/Xt9vxr732WlgsFnz22WdNHvv0009ht9txzTXXtNv5qWMwtrQNY0vrMbZ0f4wrbcO40nqMK90f40rbMK60HuOKHwjq9srLy0VaWprIzs4WQghRXV0tMjIyxCeffKLuc+TIEZGWliZycnKaPc7TTz8tbr311ibbH374YfHyyy+LV199VVxzzTVnHcuGDRtEWlqa2LJli9fHFUXx+P7DDz8UV1xxhRg0aJCYMmWKWLVqlfpYfn6+SEtLE59++qmYPXu2GDJkiJg2bZr49ttvPY6xa9cucfPNN4vBgweLiy++WDzzzDOitrZWffySSy4Ry5YtE7/+9a9FZmamWLBggRBCiBdeeEFcfvnlYsiQIWLSpEni5ZdfFjabTX1eS9frHt+PP/7Y7D7ejnG2axZCiJMnT4pHHnlEjBo1SgwdOlRMnz5d7N27V6xZs0akpaV5fK1Zs0YIIURaWprYvHmzeowDBw6IW2+9VQwePFiMHj1a/O53vxNms1l9fMGCBWLevHnizTffFBdddJEYPXq0ePrppz2u/0wPPPCAuP3225tsnz17tnj44YdbPO+rr77aZPw7d+4UQghRWFgoHnroITFixAgxatQoce+994r8/Hz1HDt37hQzZswQQ4cOFSNGjBCzZs0SBQUFzY6V/IOxhbGFsYX8jXGFcYVxhfyNcYVxhXGl82PF1HmgpqYGABAeHg7A9QmA3W7HuHHj1H369u2LpKSks5ZV1tTUICIiwmPbmjVrkJ+f7/EJw9ls2LABvXv3xuTJk70+LkmS+uf169fjlVdewSOPPIJNmzbh0Ucfxauvvop169Z5POfll1/G3Llz8dFHH6FXr16YP38+HA4HACAvLw933303Lr/8cqxfvx4vv/wy9uzZg2eeecbjGCtWrEB6ejo++ugjtXwyODgYixcvxsaNG/HEE0/gX//6F9555x2frvNctXTNtbW1mD17NoqLi/GXv/wF//73v3HXXXdBURRcddVVuPPOO3HBBReon0ZcddVVTc5RV1eHuXPnIjw8HKtXr8bSpUuxffv2Jvfkm2++QV5eHt59910899xzWLduXZN739jMmTOxc+dOnDhxQt2Wn5+PXbt2YebMmS2e984778SVV16J8ePHq+PPzMyE3W7H3LlzERwcjPfffx9///vfERQUhLvuugs2mw0OhwP3338/Ro0ahfXr1+Of//wnZs2a5fG7RO2DsYWxpTHGFvIHxhXGlcYYV8gfGFcYVxpjXOmkAp0Zo/bldDrFPffcI2666SZ12/r160VGRkaTfWfMmCFeeOEFr8fZs2ePGDhwoPj666/VbceOHRNjx44VR48eFUK0nDUXQogrrrhC3HvvvR7bnn32WTFs2DAxbNgwMX78eHX7pZdeKj7++GOPfV977TUxa9YsIcTpLPyHH36oPn748GGRlpYmjhw5IoQQ4vHHHxdPPvmkxzF27dol0tPTRX19vRDC9SnBfffdd9ZxCyHEm2++KaZPn65+7+unBEOGDFGvz/3V3DFauuZ//OMfIjMzU1RWVno9Z3NjavwpwT//+U8xatQoj09Ktm7dKtLT00VpaakQwvUpwSWXXCIcDoe6z0MPPaRm+71xOBxi/Pjx4tVXX1W3LV26VEycOFE4nU6fzztv3jyP43700UdiypQpHp8gWa1WMWTIEPH111+LyspKkZaWJr755ptmx0b+x9jC2CIEYwv5F+MK44oQjCvkX4wrjCtCMK50BdpAJ8aofS1cuBCHDx/GBx98cM7HOHToEO677z7cf//9yMrKAgA4nU7Mnz8fDz74IHr37t2mMc6bNw+zZ8/GZ599huXLlwNwZbLz8vLwxBNP4Mknn1T3dTgcCA0N9Xh+//791T/HxsYCACoqKtC3b18cOHAABw8exMcff6zuI4SAoigoKChA3759AQCDBg1qMq5NmzZh5cqVyM/PR11dHRwOB0JCQlp9fS+//LJ6nrPx5Zpzc3MxcODAJp/WtMZPP/2E/v37IygoSN02fPhwKIqCY8eOISYmBgDQr18/aDQadZ/Y2FgcOnSo2eNqNBpMnz4d69atwwMPPAAhBD766CNcf/31kGXZ5/Oe6cCBA8jLy8Pw4cM9tlutVuTl5SErKwvXX3895s6di4suughjx47FlVdeibi4uHO6P+QbxhbGljMxtlBbMa4wrpyJcYXainGFceVMjCudExNT3diiRYuwdetWrFq1CgkJCer2mJgY2O12VFdXIywsTN1eXl6uBjO3I0eOYM6cOZg1a5bHCgG1tbXYv38/cnNz1fJDRVEghMDAgQPx1ltveW0A2LNnTxw7dsxjW1RUFKKiohAdHa1uczcnfOaZZzB06FCP/WXZcwaqTqdT/+wuWVQURT3OTTfdhFtvvbXJWBITE9U/m0wmj8dycnLwf//3f3jwwQeRlZWF0NBQbNy4EW+//XaT47QkMTERPXv2bHE/X67ZaDS2+vznSqv1DA+SJEEIcdbnzJgxA8uXL8fOnTuhKApOnjyJ66+/vk3jqKurQ0ZGBpYsWdLksaioKADA4sWLceutt+Lrr7/GJ598gqVLl+Ltt9/GsGHD2nRu8o6xhbGlLRhbyBvGFcaVtmBcIW8YVxhX2oJxpWMxMdUNCSHwzDPPYPPmzXjvvfeQmprq8figQYOg0+mwY8cOTJkyBQBw9OhRFBYWevzyHj58GLfffjuuu+46PPLIIx7HCAkJ8ci8A8AHH3yAnTt34tVXX0VKSorXsV199dWYP38+tmzZgksvvbTZa4iJiUFcXBzy8/PbtILBwIEDceTIEZ+CYWM5OTlISkrCvHnz1G2FhYXnPA5f+HLN/fv3x7/+9S+cOnXK6ycFOp1O/YeoOX379sW6detQV1enZuy//fZbyLLc5k98evTogVGjRmH16tUAgHHjxiE5Odnn83obf0ZGBj755BNER0ef9VOagQMHYuDAgfjlL3+JWbNmYcOGDV0qGHcFjC2nMbY0xdhC54Jx5TTGlaYYV+hcMK6cxrjSFONK58Tm593QwoULsX79erz44osIDg5GaWkpSktLUV9fDwAIDQ3FjBkz8Nxzz2Hnzp3Yv38/Hn/8cWRmZqq/vIcOHcJtt92Giy66CHfccYd6jIqKCgCurHVaWprHV3R0NAwGA9LS0jxKFBubOnUqpkyZgkcffRTLli3Dd999h4KCAmRnZ2PTpk0e5ZIPPfQQ/va3v2HlypU4duwYDh48iDVr1rQqU3/33XcjJycHixYtQm5uLn7++Wds2bIFixYtOuvzevbsiZMnT2Ljxo3Iy8vDypUrsWXLFp/P29ipU6fU++f+slqtXvdt6ZqnTp2KmJgY3H///dizZw/y8/Px6aefIicnBwCQnJyMgoIC5ObmoqKiwutyr9OmTYNer8djjz2GQ4cOYefOnXjmmWdw7bXXNltC2hozZ87E5s2bsXnzZsycObNV501OTsbBgwdx9OhRVFRUwG63Y9q0aYiMjMS8efOwe/du5Ofn45tvvsGzzz6LoqIi5Ofn48UXX0ROTg5OnDiBbdu24eeff0afPn3afC3kibHlNMYWxhbyD8aV0xhXGFfIPxhXTmNcYVzpKlgx1Q39/e9/B4AmJZuLFy9WSwkff/xxyLKMhx56CDabDVlZWfj973+v7vvpp5+ioqIC69evx/r169XtycnJ+OKLL855bJIkYenSpfjwww+xdu1avPXWW7Db7UhISMDYsWPx29/+Vt33hhtugNFoxFtvvYUXXngBQUFBSEtLw+233+7z+dLT0/Hee+9h6dKl+MUvfgEASE1N9bpCQ2OTJ0/G7bffjkWLFsFms2HixImYN28eli1b1uprnjNnTpNtL730EqZOndpke0vXrNfrsWLFCjz//PO455574HQ60bdvX/VnN2XKFGzevBm33XYbqqurPX7mbiaTCW+99Rb+8Ic/YObMmTCZTLj88svx2GOPtfravJkyZQqeeeYZaDQaj0+CfDnvjTfeiOzsbMyYMQN1dXVYuXIlxowZg1WrVmHJkiV44IEHUFtbi/j4eIwdOxYhISGor6/H0aNHsW7dOpw6dQpxcXG45ZZbcNNNN/nleug0xpbTGFsYW8g/GFdOY1xhXCH/YFw5jXGFcaWrkERLEyWJiIiIiIiIiIjaAafyERERERERERFRQDAxRUREREREREREAcHEFBERERERERERBQQTU0REREREREREFBBMTBERERERERERUUAwMUVERERERERERAHBxBQREREREREREQUEE1NERERERERERBQQTEwREREREREREVFAMDFFREREREREREQBwcQUEREREREREREFxP8D3W+/wvECXREAAAAASUVORK5CYII="}, "type": "data"}]}, {"code_hash": "3a56401bc41b62bfcad6b1e2a2a12661", "console": [], "id": "emfo", "outputs": [{"data": {"text/html": "<span class=\"markdown prose dark:prose-invert\"><h3 id=\"signatures-vs-vote-share\">Signatures vs. Vote Share</h3></span>"}, "type": "data"}]}, {"code_hash": "0f041482771c1c652bcf15c4b8f34675", "console": [], "id": "Hstk", "outputs": [{"data": {"image/png": "data:image/png;base64,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"}, "type": "data"}]}, {"code_hash": "200ca2111d53fbf5fcb4d2c74601bc91", "console": [], "id": "nWHF", "outputs": [{"data": {"text/html": "<span class=\"markdown prose dark:prose-invert\"><h3 id=\"signatures-per-vote-vs-vote-share\">Signatures per Vote vs. Vote Share</h3></span>"}, "type": "data"}]}, {"code_hash": "bc1cd08c264c839042cf7f46f2559233", "console": [], "id": "iLit", "outputs": [{"data": {"image/png": "data:image/png;base64,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"}, "type": "data"}]}], "metadata": {"marimo_version": "0.14.17"}, "version": "1"}, + "runtimeConfig": null, + }; + </script> + <marimo-code hidden=""></marimo-code> +<marimo-code-hash hidden="">d7c700668db8f6cf1167eaeb28d714d810e175822b562aa1b424dacd6330b1db</marimo-code-hash> +</body> +</html> diff --git a/poetry.lock b/poetry.lock deleted file mode 100644 index 53387d9..0000000 --- a/poetry.lock +++ /dev/null @@ -1,2790 +0,0 @@ -# This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand. - -[[package]] -name = "anyio" -version = "4.4.0" -description = "High level compatibility layer for multiple asynchronous event loop implementations" -optional = false -python-versions = ">=3.8" -files = [ - {file = "anyio-4.4.0-py3-none-any.whl", hash = "sha256:c1b2d8f46a8a812513012e1107cb0e68c17159a7a594208005a57dc776e1bdc7"}, - {file = "anyio-4.4.0.tar.gz", hash = "sha256:5aadc6a1bbb7cdb0bede386cac5e2940f5e2ff3aa20277e991cf028e0585ce94"}, -] - -[package.dependencies] -idna = ">=2.8" -sniffio = ">=1.1" - -[package.extras] -doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"] -test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"] -trio = ["trio (>=0.23)"] - -[[package]] -name = "appnope" -version = "0.1.4" -description = "Disable App Nap on macOS >= 10.9" -optional = false -python-versions = ">=3.6" -files = [ - {file = "appnope-0.1.4-py2.py3-none-any.whl", hash = "sha256:502575ee11cd7a28c0205f379b525beefebab9d161b7c964670864014ed7213c"}, - {file = "appnope-0.1.4.tar.gz", hash = "sha256:1de3860566df9caf38f01f86f65e0e13e379af54f9e4bee1e66b48f2efffd1ee"}, -] - -[[package]] -name = "argon2-cffi" -version = "23.1.0" -description = "Argon2 for Python" -optional = false -python-versions = ">=3.7" -files = [ - {file = "argon2_cffi-23.1.0-py3-none-any.whl", hash = "sha256:c670642b78ba29641818ab2e68bd4e6a78ba53b7eff7b4c3815ae16abf91c7ea"}, - {file = "argon2_cffi-23.1.0.tar.gz", hash = "sha256:879c3e79a2729ce768ebb7d36d4609e3a78a4ca2ec3a9f12286ca057e3d0db08"}, -] - -[package.dependencies] -argon2-cffi-bindings = "*" - -[package.extras] -dev = ["argon2-cffi[tests,typing]", "tox (>4)"] -docs = ["furo", "myst-parser", "sphinx", "sphinx-copybutton", "sphinx-notfound-page"] -tests = ["hypothesis", "pytest"] -typing = ["mypy"] - -[[package]] -name = "argon2-cffi-bindings" -version = "21.2.0" -description = "Low-level CFFI bindings for Argon2" -optional = false -python-versions = ">=3.6" -files = [ - {file = "argon2-cffi-bindings-21.2.0.tar.gz", hash = "sha256:bb89ceffa6c791807d1305ceb77dbfacc5aa499891d2c55661c6459651fc39e3"}, - {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-macosx_10_9_x86_64.whl", hash = "sha256:ccb949252cb2ab3a08c02024acb77cfb179492d5701c7cbdbfd776124d4d2367"}, - {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9524464572e12979364b7d600abf96181d3541da11e23ddf565a32e70bd4dc0d"}, - {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b746dba803a79238e925d9046a63aa26bf86ab2a2fe74ce6b009a1c3f5c8f2ae"}, - {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:58ed19212051f49a523abb1dbe954337dc82d947fb6e5a0da60f7c8471a8476c"}, - {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:bd46088725ef7f58b5a1ef7ca06647ebaf0eb4baff7d1d0d177c6cc8744abd86"}, - {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-musllinux_1_1_i686.whl", hash = "sha256:8cd69c07dd875537a824deec19f978e0f2078fdda07fd5c42ac29668dda5f40f"}, - {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:f1152ac548bd5b8bcecfb0b0371f082037e47128653df2e8ba6e914d384f3c3e"}, - {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-win32.whl", hash = "sha256:603ca0aba86b1349b147cab91ae970c63118a0f30444d4bc80355937c950c082"}, - {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-win_amd64.whl", hash = "sha256:b2ef1c30440dbbcba7a5dc3e319408b59676e2e039e2ae11a8775ecf482b192f"}, - {file = "argon2_cffi_bindings-21.2.0-cp38-abi3-macosx_10_9_universal2.whl", hash = "sha256:e415e3f62c8d124ee16018e491a009937f8cf7ebf5eb430ffc5de21b900dad93"}, - {file = "argon2_cffi_bindings-21.2.0-pp37-pypy37_pp73-macosx_10_9_x86_64.whl", hash = "sha256:3e385d1c39c520c08b53d63300c3ecc28622f076f4c2b0e6d7e796e9f6502194"}, - {file = "argon2_cffi_bindings-21.2.0-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2c3e3cc67fdb7d82c4718f19b4e7a87123caf8a93fde7e23cf66ac0337d3cb3f"}, - {file = "argon2_cffi_bindings-21.2.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6a22ad9800121b71099d0fb0a65323810a15f2e292f2ba450810a7316e128ee5"}, - {file = "argon2_cffi_bindings-21.2.0-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f9f8b450ed0547e3d473fdc8612083fd08dd2120d6ac8f73828df9b7d45bb351"}, - {file = "argon2_cffi_bindings-21.2.0-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:93f9bf70084f97245ba10ee36575f0c3f1e7d7724d67d8e5b08e61787c320ed7"}, - {file = "argon2_cffi_bindings-21.2.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:3b9ef65804859d335dc6b31582cad2c5166f0c3e7975f324d9ffaa34ee7e6583"}, - {file = "argon2_cffi_bindings-21.2.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d4966ef5848d820776f5f562a7d45fdd70c2f330c961d0d745b784034bd9f48d"}, - {file = "argon2_cffi_bindings-21.2.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:20ef543a89dee4db46a1a6e206cd015360e5a75822f76df533845c3cbaf72670"}, - {file = "argon2_cffi_bindings-21.2.0-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ed2937d286e2ad0cc79a7087d3c272832865f779430e0cc2b4f3718d3159b0cb"}, - {file = "argon2_cffi_bindings-21.2.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:5e00316dabdaea0b2dd82d141cc66889ced0cdcbfa599e8b471cf22c620c329a"}, -] - -[package.dependencies] -cffi = ">=1.0.1" - -[package.extras] -dev = ["cogapp", "pre-commit", "pytest", "wheel"] -tests = ["pytest"] - -[[package]] -name = "arrow" -version = "1.3.0" -description = "Better dates & times for Python" -optional = false -python-versions = ">=3.8" -files = [ - {file = "arrow-1.3.0-py3-none-any.whl", hash = "sha256:c728b120ebc00eb84e01882a6f5e7927a53960aa990ce7dd2b10f39005a67f80"}, - {file = "arrow-1.3.0.tar.gz", hash = "sha256:d4540617648cb5f895730f1ad8c82a65f2dad0166f57b75f3ca54759c4d67a85"}, -] - -[package.dependencies] -python-dateutil = ">=2.7.0" -types-python-dateutil = ">=2.8.10" - -[package.extras] -doc = ["doc8", "sphinx (>=7.0.0)", "sphinx-autobuild", "sphinx-autodoc-typehints", "sphinx_rtd_theme (>=1.3.0)"] -test = ["dateparser (==1.*)", "pre-commit", "pytest", "pytest-cov", "pytest-mock", "pytz (==2021.1)", "simplejson (==3.*)"] - -[[package]] -name = "asttokens" -version = "2.4.1" -description = "Annotate AST trees with source code positions" -optional = false -python-versions = "*" -files = [ - {file = "asttokens-2.4.1-py2.py3-none-any.whl", hash = "sha256:051ed49c3dcae8913ea7cd08e46a606dba30b79993209636c4875bc1d637bc24"}, - {file = "asttokens-2.4.1.tar.gz", hash = "sha256:b03869718ba9a6eb027e134bfdf69f38a236d681c83c160d510768af11254ba0"}, -] - -[package.dependencies] -six = ">=1.12.0" - -[package.extras] -astroid = ["astroid (>=1,<2)", "astroid (>=2,<4)"] -test = ["astroid (>=1,<2)", "astroid (>=2,<4)", "pytest"] - -[[package]] -name = "async-lru" -version = "2.0.4" -description = "Simple LRU cache for asyncio" -optional = false -python-versions = ">=3.8" -files = [ - {file = "async-lru-2.0.4.tar.gz", hash = "sha256:b8a59a5df60805ff63220b2a0c5b5393da5521b113cd5465a44eb037d81a5627"}, - {file = "async_lru-2.0.4-py3-none-any.whl", hash = "sha256:ff02944ce3c288c5be660c42dbcca0742b32c3b279d6dceda655190240b99224"}, -] - -[[package]] -name = "attrs" -version = "24.2.0" -description = "Classes Without Boilerplate" -optional = false -python-versions = ">=3.7" -files = [ - {file = "attrs-24.2.0-py3-none-any.whl", hash = "sha256:81921eb96de3191c8258c199618104dd27ac608d9366f5e35d011eae1867ede2"}, - {file = "attrs-24.2.0.tar.gz", hash = "sha256:5cfb1b9148b5b086569baec03f20d7b6bf3bcacc9a42bebf87ffaaca362f6346"}, -] - -[package.extras] -benchmark = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins", "pytest-xdist[psutil]"] -cov = ["cloudpickle", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"] -dev = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pre-commit", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"] -docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier (<24.7)"] -tests = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"] -tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"] - -[[package]] -name = "babel" -version = "2.16.0" -description = "Internationalization utilities" -optional = false -python-versions = ">=3.8" -files = [ - {file = "babel-2.16.0-py3-none-any.whl", hash = "sha256:368b5b98b37c06b7daf6696391c3240c938b37767d4584413e8438c5c435fa8b"}, - {file = "babel-2.16.0.tar.gz", hash = "sha256:d1f3554ca26605fe173f3de0c65f750f5a42f924499bf134de6423582298e316"}, -] - -[package.extras] -dev = ["freezegun (>=1.0,<2.0)", "pytest (>=6.0)", "pytest-cov"] - -[[package]] -name = "beautifulsoup4" -version = "4.12.3" -description = "Screen-scraping library" -optional = false -python-versions = ">=3.6.0" -files = [ - {file = "beautifulsoup4-4.12.3-py3-none-any.whl", hash = "sha256:b80878c9f40111313e55da8ba20bdba06d8fa3969fc68304167741bbf9e082ed"}, - {file = "beautifulsoup4-4.12.3.tar.gz", hash = "sha256:74e3d1928edc070d21748185c46e3fb33490f22f52a3addee9aee0f4f7781051"}, -] - -[package.dependencies] -soupsieve = ">1.2" - -[package.extras] -cchardet = ["cchardet"] -chardet = ["chardet"] -charset-normalizer = ["charset-normalizer"] -html5lib = ["html5lib"] -lxml = ["lxml"] - -[[package]] -name = "bleach" -version = "6.1.0" -description = "An easy safelist-based HTML-sanitizing tool." -optional = false -python-versions = ">=3.8" -files = [ - {file = "bleach-6.1.0-py3-none-any.whl", hash = "sha256:3225f354cfc436b9789c66c4ee030194bee0568fbf9cbdad3bc8b5c26c5f12b6"}, - {file = "bleach-6.1.0.tar.gz", hash = "sha256:0a31f1837963c41d46bbf1331b8778e1308ea0791db03cc4e7357b97cf42a8fe"}, -] - -[package.dependencies] -six = ">=1.9.0" -webencodings = "*" - -[package.extras] -css = ["tinycss2 (>=1.1.0,<1.3)"] - -[[package]] -name = "certifi" -version = "2024.8.30" -description = "Python package for providing Mozilla's CA Bundle." -optional = false -python-versions = ">=3.6" -files = [ - {file = "certifi-2024.8.30-py3-none-any.whl", hash = "sha256:922820b53db7a7257ffbda3f597266d435245903d80737e34f8a45ff3e3230d8"}, - {file = "certifi-2024.8.30.tar.gz", hash = "sha256:bec941d2aa8195e248a60b31ff9f0558284cf01a52591ceda73ea9afffd69fd9"}, -] - -[[package]] -name = "cffi" -version = "1.17.0" -description = "Foreign Function Interface for Python calling C code." -optional = false -python-versions = ">=3.8" -files = [ - {file = "cffi-1.17.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:f9338cc05451f1942d0d8203ec2c346c830f8e86469903d5126c1f0a13a2bcbb"}, - {file = "cffi-1.17.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:a0ce71725cacc9ebf839630772b07eeec220cbb5f03be1399e0457a1464f8e1a"}, - {file = "cffi-1.17.0-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c815270206f983309915a6844fe994b2fa47e5d05c4c4cef267c3b30e34dbe42"}, - {file = "cffi-1.17.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d6bdcd415ba87846fd317bee0774e412e8792832e7805938987e4ede1d13046d"}, - {file = "cffi-1.17.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8a98748ed1a1df4ee1d6f927e151ed6c1a09d5ec21684de879c7ea6aa96f58f2"}, - {file = "cffi-1.17.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:0a048d4f6630113e54bb4b77e315e1ba32a5a31512c31a273807d0027a7e69ab"}, - {file = "cffi-1.17.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:24aa705a5f5bd3a8bcfa4d123f03413de5d86e497435693b638cbffb7d5d8a1b"}, - {file = "cffi-1.17.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:856bf0924d24e7f93b8aee12a3a1095c34085600aa805693fb7f5d1962393206"}, - {file = "cffi-1.17.0-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:4304d4416ff032ed50ad6bb87416d802e67139e31c0bde4628f36a47a3164bfa"}, - {file = "cffi-1.17.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:331ad15c39c9fe9186ceaf87203a9ecf5ae0ba2538c9e898e3a6967e8ad3db6f"}, - {file = "cffi-1.17.0-cp310-cp310-win32.whl", hash = "sha256:669b29a9eca6146465cc574659058ed949748f0809a2582d1f1a324eb91054dc"}, - {file = "cffi-1.17.0-cp310-cp310-win_amd64.whl", hash = "sha256:48b389b1fd5144603d61d752afd7167dfd205973a43151ae5045b35793232aa2"}, - {file = "cffi-1.17.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:c5d97162c196ce54af6700949ddf9409e9833ef1003b4741c2b39ef46f1d9720"}, - {file = "cffi-1.17.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:5ba5c243f4004c750836f81606a9fcb7841f8874ad8f3bf204ff5e56332b72b9"}, - {file = "cffi-1.17.0-cp311-cp311-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:bb9333f58fc3a2296fb1d54576138d4cf5d496a2cc118422bd77835e6ae0b9cb"}, - {file = "cffi-1.17.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:435a22d00ec7d7ea533db494da8581b05977f9c37338c80bc86314bec2619424"}, - {file = "cffi-1.17.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d1df34588123fcc88c872f5acb6f74ae59e9d182a2707097f9e28275ec26a12d"}, - {file = "cffi-1.17.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:df8bb0010fdd0a743b7542589223a2816bdde4d94bb5ad67884348fa2c1c67e8"}, - {file = "cffi-1.17.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a8b5b9712783415695663bd463990e2f00c6750562e6ad1d28e072a611c5f2a6"}, - {file = "cffi-1.17.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:ffef8fd58a36fb5f1196919638f73dd3ae0db1a878982b27a9a5a176ede4ba91"}, - {file = "cffi-1.17.0-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:4e67d26532bfd8b7f7c05d5a766d6f437b362c1bf203a3a5ce3593a645e870b8"}, - {file = "cffi-1.17.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:45f7cd36186db767d803b1473b3c659d57a23b5fa491ad83c6d40f2af58e4dbb"}, - {file = "cffi-1.17.0-cp311-cp311-win32.whl", hash = "sha256:a9015f5b8af1bb6837a3fcb0cdf3b874fe3385ff6274e8b7925d81ccaec3c5c9"}, - {file = "cffi-1.17.0-cp311-cp311-win_amd64.whl", hash = "sha256:b50aaac7d05c2c26dfd50c3321199f019ba76bb650e346a6ef3616306eed67b0"}, - {file = "cffi-1.17.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:aec510255ce690d240f7cb23d7114f6b351c733a74c279a84def763660a2c3bc"}, - {file = "cffi-1.17.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:2770bb0d5e3cc0e31e7318db06efcbcdb7b31bcb1a70086d3177692a02256f59"}, - {file = "cffi-1.17.0-cp312-cp312-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:db9a30ec064129d605d0f1aedc93e00894b9334ec74ba9c6bdd08147434b33eb"}, - {file = "cffi-1.17.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a47eef975d2b8b721775a0fa286f50eab535b9d56c70a6e62842134cf7841195"}, - {file = "cffi-1.17.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f3e0992f23bbb0be00a921eae5363329253c3b86287db27092461c887b791e5e"}, - {file = "cffi-1.17.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:6107e445faf057c118d5050560695e46d272e5301feffda3c41849641222a828"}, - {file = "cffi-1.17.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:eb862356ee9391dc5a0b3cbc00f416b48c1b9a52d252d898e5b7696a5f9fe150"}, - {file = "cffi-1.17.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:c1c13185b90bbd3f8b5963cd8ce7ad4ff441924c31e23c975cb150e27c2bf67a"}, - {file = "cffi-1.17.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:17c6d6d3260c7f2d94f657e6872591fe8733872a86ed1345bda872cfc8c74885"}, - {file = "cffi-1.17.0-cp312-cp312-win32.whl", hash = "sha256:c3b8bd3133cd50f6b637bb4322822c94c5ce4bf0d724ed5ae70afce62187c492"}, - {file = "cffi-1.17.0-cp312-cp312-win_amd64.whl", hash = "sha256:dca802c8db0720ce1c49cce1149ff7b06e91ba15fa84b1d59144fef1a1bc7ac2"}, - {file = "cffi-1.17.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:6ce01337d23884b21c03869d2f68c5523d43174d4fc405490eb0091057943118"}, - {file = "cffi-1.17.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:cab2eba3830bf4f6d91e2d6718e0e1c14a2f5ad1af68a89d24ace0c6b17cced7"}, - {file = "cffi-1.17.0-cp313-cp313-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:14b9cbc8f7ac98a739558eb86fabc283d4d564dafed50216e7f7ee62d0d25377"}, - {file = "cffi-1.17.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b00e7bcd71caa0282cbe3c90966f738e2db91e64092a877c3ff7f19a1628fdcb"}, - {file = "cffi-1.17.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:41f4915e09218744d8bae14759f983e466ab69b178de38066f7579892ff2a555"}, - {file = "cffi-1.17.0-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e4760a68cab57bfaa628938e9c2971137e05ce48e762a9cb53b76c9b569f1204"}, - {file = "cffi-1.17.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:011aff3524d578a9412c8b3cfaa50f2c0bd78e03eb7af7aa5e0df59b158efb2f"}, - {file = "cffi-1.17.0-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:a003ac9edc22d99ae1286b0875c460351f4e101f8c9d9d2576e78d7e048f64e0"}, - {file = "cffi-1.17.0-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:ef9528915df81b8f4c7612b19b8628214c65c9b7f74db2e34a646a0a2a0da2d4"}, - {file = "cffi-1.17.0-cp313-cp313-win32.whl", hash = "sha256:70d2aa9fb00cf52034feac4b913181a6e10356019b18ef89bc7c12a283bf5f5a"}, - {file = "cffi-1.17.0-cp313-cp313-win_amd64.whl", hash = "sha256:b7b6ea9e36d32582cda3465f54c4b454f62f23cb083ebc7a94e2ca6ef011c3a7"}, - {file = "cffi-1.17.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:964823b2fc77b55355999ade496c54dde161c621cb1f6eac61dc30ed1b63cd4c"}, - {file = "cffi-1.17.0-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:516a405f174fd3b88829eabfe4bb296ac602d6a0f68e0d64d5ac9456194a5b7e"}, - {file = "cffi-1.17.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dec6b307ce928e8e112a6bb9921a1cb00a0e14979bf28b98e084a4b8a742bd9b"}, - {file = "cffi-1.17.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e4094c7b464cf0a858e75cd14b03509e84789abf7b79f8537e6a72152109c76e"}, - {file = "cffi-1.17.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2404f3de742f47cb62d023f0ba7c5a916c9c653d5b368cc966382ae4e57da401"}, - {file = "cffi-1.17.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3aa9d43b02a0c681f0bfbc12d476d47b2b2b6a3f9287f11ee42989a268a1833c"}, - {file = "cffi-1.17.0-cp38-cp38-win32.whl", hash = "sha256:0bb15e7acf8ab35ca8b24b90af52c8b391690ef5c4aec3d31f38f0d37d2cc499"}, - {file = "cffi-1.17.0-cp38-cp38-win_amd64.whl", hash = "sha256:93a7350f6706b31f457c1457d3a3259ff9071a66f312ae64dc024f049055f72c"}, - {file = "cffi-1.17.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:1a2ddbac59dc3716bc79f27906c010406155031a1c801410f1bafff17ea304d2"}, - {file = "cffi-1.17.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:6327b572f5770293fc062a7ec04160e89741e8552bf1c358d1a23eba68166759"}, - {file = "cffi-1.17.0-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:dbc183e7bef690c9abe5ea67b7b60fdbca81aa8da43468287dae7b5c046107d4"}, - {file = "cffi-1.17.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5bdc0f1f610d067c70aa3737ed06e2726fd9d6f7bfee4a351f4c40b6831f4e82"}, - {file = "cffi-1.17.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:6d872186c1617d143969defeadac5a904e6e374183e07977eedef9c07c8953bf"}, - {file = "cffi-1.17.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:0d46ee4764b88b91f16661a8befc6bfb24806d885e27436fdc292ed7e6f6d058"}, - {file = "cffi-1.17.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6f76a90c345796c01d85e6332e81cab6d70de83b829cf1d9762d0a3da59c7932"}, - {file = "cffi-1.17.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:0e60821d312f99d3e1569202518dddf10ae547e799d75aef3bca3a2d9e8ee693"}, - {file = "cffi-1.17.0-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:eb09b82377233b902d4c3fbeeb7ad731cdab579c6c6fda1f763cd779139e47c3"}, - {file = "cffi-1.17.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:24658baf6224d8f280e827f0a50c46ad819ec8ba380a42448e24459daf809cf4"}, - {file = "cffi-1.17.0-cp39-cp39-win32.whl", hash = "sha256:0fdacad9e0d9fc23e519efd5ea24a70348305e8d7d85ecbb1a5fa66dc834e7fb"}, - {file = "cffi-1.17.0-cp39-cp39-win_amd64.whl", hash = "sha256:7cbc78dc018596315d4e7841c8c3a7ae31cc4d638c9b627f87d52e8abaaf2d29"}, - {file = "cffi-1.17.0.tar.gz", hash = "sha256:f3157624b7558b914cb039fd1af735e5e8049a87c817cc215109ad1c8779df76"}, -] - -[package.dependencies] -pycparser = "*" - -[[package]] -name = "charset-normalizer" -version = "3.3.2" -description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." -optional = false -python-versions = ">=3.7.0" -files = [ - {file = "charset-normalizer-3.3.2.tar.gz", hash = "sha256:f30c3cb33b24454a82faecaf01b19c18562b1e89558fb6c56de4d9118a032fd5"}, - {file = "charset_normalizer-3.3.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:25baf083bf6f6b341f4121c2f3c548875ee6f5339300e08be3f2b2ba1721cdd3"}, - {file = "charset_normalizer-3.3.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:06435b539f889b1f6f4ac1758871aae42dc3a8c0e24ac9e60c2384973ad73027"}, - {file = "charset_normalizer-3.3.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9063e24fdb1e498ab71cb7419e24622516c4a04476b17a2dab57e8baa30d6e03"}, - {file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6897af51655e3691ff853668779c7bad41579facacf5fd7253b0133308cf000d"}, - {file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1d3193f4a680c64b4b6a9115943538edb896edc190f0b222e73761716519268e"}, - {file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:cd70574b12bb8a4d2aaa0094515df2463cb429d8536cfb6c7ce983246983e5a6"}, - {file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8465322196c8b4d7ab6d1e049e4c5cb460d0394da4a27d23cc242fbf0034b6b5"}, - {file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a9a8e9031d613fd2009c182b69c7b2c1ef8239a0efb1df3f7c8da66d5dd3d537"}, - {file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:beb58fe5cdb101e3a055192ac291b7a21e3b7ef4f67fa1d74e331a7f2124341c"}, - {file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:e06ed3eb3218bc64786f7db41917d4e686cc4856944f53d5bdf83a6884432e12"}, - {file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:2e81c7b9c8979ce92ed306c249d46894776a909505d8f5a4ba55b14206e3222f"}, - {file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:572c3763a264ba47b3cf708a44ce965d98555f618ca42c926a9c1616d8f34269"}, - {file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:fd1abc0d89e30cc4e02e4064dc67fcc51bd941eb395c502aac3ec19fab46b519"}, - {file = "charset_normalizer-3.3.2-cp310-cp310-win32.whl", hash = "sha256:3d47fa203a7bd9c5b6cee4736ee84ca03b8ef23193c0d1ca99b5089f72645c73"}, - {file = "charset_normalizer-3.3.2-cp310-cp310-win_amd64.whl", hash = "sha256:10955842570876604d404661fbccbc9c7e684caf432c09c715ec38fbae45ae09"}, - {file = "charset_normalizer-3.3.2-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:802fe99cca7457642125a8a88a084cef28ff0cf9407060f7b93dca5aa25480db"}, - {file = "charset_normalizer-3.3.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:573f6eac48f4769d667c4442081b1794f52919e7edada77495aaed9236d13a96"}, - {file = "charset_normalizer-3.3.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:549a3a73da901d5bc3ce8d24e0600d1fa85524c10287f6004fbab87672bf3e1e"}, - {file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f27273b60488abe721a075bcca6d7f3964f9f6f067c8c4c605743023d7d3944f"}, - {file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1ceae2f17a9c33cb48e3263960dc5fc8005351ee19db217e9b1bb15d28c02574"}, - {file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:65f6f63034100ead094b8744b3b97965785388f308a64cf8d7c34f2f2e5be0c4"}, - {file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:753f10e867343b4511128c6ed8c82f7bec3bd026875576dfd88483c5c73b2fd8"}, - {file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4a78b2b446bd7c934f5dcedc588903fb2f5eec172f3d29e52a9096a43722adfc"}, - {file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:e537484df0d8f426ce2afb2d0f8e1c3d0b114b83f8850e5f2fbea0e797bd82ae"}, - {file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:eb6904c354526e758fda7167b33005998fb68c46fbc10e013ca97f21ca5c8887"}, - {file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:deb6be0ac38ece9ba87dea880e438f25ca3eddfac8b002a2ec3d9183a454e8ae"}, - {file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:4ab2fe47fae9e0f9dee8c04187ce5d09f48eabe611be8259444906793ab7cbce"}, - {file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:80402cd6ee291dcb72644d6eac93785fe2c8b9cb30893c1af5b8fdd753b9d40f"}, - {file = "charset_normalizer-3.3.2-cp311-cp311-win32.whl", hash = "sha256:7cd13a2e3ddeed6913a65e66e94b51d80a041145a026c27e6bb76c31a853c6ab"}, - {file = "charset_normalizer-3.3.2-cp311-cp311-win_amd64.whl", hash = "sha256:663946639d296df6a2bb2aa51b60a2454ca1cb29835324c640dafb5ff2131a77"}, - {file = "charset_normalizer-3.3.2-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:0b2b64d2bb6d3fb9112bafa732def486049e63de9618b5843bcdd081d8144cd8"}, - {file = "charset_normalizer-3.3.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:ddbb2551d7e0102e7252db79ba445cdab71b26640817ab1e3e3648dad515003b"}, - {file = "charset_normalizer-3.3.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:55086ee1064215781fff39a1af09518bc9255b50d6333f2e4c74ca09fac6a8f6"}, - {file = "charset_normalizer-3.3.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8f4a014bc36d3c57402e2977dada34f9c12300af536839dc38c0beab8878f38a"}, - {file = "charset_normalizer-3.3.2-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a10af20b82360ab00827f916a6058451b723b4e65030c5a18577c8b2de5b3389"}, - {file = "charset_normalizer-3.3.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8d756e44e94489e49571086ef83b2bb8ce311e730092d2c34ca8f7d925cb20aa"}, - {file = "charset_normalizer-3.3.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:90d558489962fd4918143277a773316e56c72da56ec7aa3dc3dbbe20fdfed15b"}, - {file = "charset_normalizer-3.3.2-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6ac7ffc7ad6d040517be39eb591cac5ff87416c2537df6ba3cba3bae290c0fed"}, - {file = "charset_normalizer-3.3.2-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:7ed9e526742851e8d5cc9e6cf41427dfc6068d4f5a3bb03659444b4cabf6bc26"}, - {file = "charset_normalizer-3.3.2-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:8bdb58ff7ba23002a4c5808d608e4e6c687175724f54a5dade5fa8c67b604e4d"}, - {file = "charset_normalizer-3.3.2-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:6b3251890fff30ee142c44144871185dbe13b11bab478a88887a639655be1068"}, - {file = "charset_normalizer-3.3.2-cp312-cp312-musllinux_1_1_s390x.whl", hash = "sha256:b4a23f61ce87adf89be746c8a8974fe1c823c891d8f86eb218bb957c924bb143"}, - {file = "charset_normalizer-3.3.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:efcb3f6676480691518c177e3b465bcddf57cea040302f9f4e6e191af91174d4"}, - {file = "charset_normalizer-3.3.2-cp312-cp312-win32.whl", hash = "sha256:d965bba47ddeec8cd560687584e88cf699fd28f192ceb452d1d7ee807c5597b7"}, - {file = "charset_normalizer-3.3.2-cp312-cp312-win_amd64.whl", hash = "sha256:96b02a3dc4381e5494fad39be677abcb5e6634bf7b4fa83a6dd3112607547001"}, - {file = "charset_normalizer-3.3.2-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:95f2a5796329323b8f0512e09dbb7a1860c46a39da62ecb2324f116fa8fdc85c"}, - {file = "charset_normalizer-3.3.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c002b4ffc0be611f0d9da932eb0f704fe2602a9a949d1f738e4c34c75b0863d5"}, - {file = "charset_normalizer-3.3.2-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a981a536974bbc7a512cf44ed14938cf01030a99e9b3a06dd59578882f06f985"}, - {file = "charset_normalizer-3.3.2-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3287761bc4ee9e33561a7e058c72ac0938c4f57fe49a09eae428fd88aafe7bb6"}, - {file = "charset_normalizer-3.3.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:42cb296636fcc8b0644486d15c12376cb9fa75443e00fb25de0b8602e64c1714"}, - {file = "charset_normalizer-3.3.2-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0a55554a2fa0d408816b3b5cedf0045f4b8e1a6065aec45849de2d6f3f8e9786"}, - {file = "charset_normalizer-3.3.2-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:c083af607d2515612056a31f0a8d9e0fcb5876b7bfc0abad3ecd275bc4ebc2d5"}, - {file = "charset_normalizer-3.3.2-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:87d1351268731db79e0f8e745d92493ee2841c974128ef629dc518b937d9194c"}, - {file = "charset_normalizer-3.3.2-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:bd8f7df7d12c2db9fab40bdd87a7c09b1530128315d047a086fa3ae3435cb3a8"}, - {file = "charset_normalizer-3.3.2-cp37-cp37m-musllinux_1_1_s390x.whl", hash = "sha256:c180f51afb394e165eafe4ac2936a14bee3eb10debc9d9e4db8958fe36afe711"}, - {file = "charset_normalizer-3.3.2-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:8c622a5fe39a48f78944a87d4fb8a53ee07344641b0562c540d840748571b811"}, - {file = "charset_normalizer-3.3.2-cp37-cp37m-win32.whl", hash = "sha256:db364eca23f876da6f9e16c9da0df51aa4f104a972735574842618b8c6d999d4"}, - {file = "charset_normalizer-3.3.2-cp37-cp37m-win_amd64.whl", hash = "sha256:86216b5cee4b06df986d214f664305142d9c76df9b6512be2738aa72a2048f99"}, - {file = "charset_normalizer-3.3.2-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:6463effa3186ea09411d50efc7d85360b38d5f09b870c48e4600f63af490e56a"}, - {file = "charset_normalizer-3.3.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:6c4caeef8fa63d06bd437cd4bdcf3ffefe6738fb1b25951440d80dc7df8c03ac"}, - {file = "charset_normalizer-3.3.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:37e55c8e51c236f95b033f6fb391d7d7970ba5fe7ff453dad675e88cf303377a"}, - {file = "charset_normalizer-3.3.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fb69256e180cb6c8a894fee62b3afebae785babc1ee98b81cdf68bbca1987f33"}, - {file = "charset_normalizer-3.3.2-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ae5f4161f18c61806f411a13b0310bea87f987c7d2ecdbdaad0e94eb2e404238"}, - {file = "charset_normalizer-3.3.2-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b2b0a0c0517616b6869869f8c581d4eb2dd83a4d79e0ebcb7d373ef9956aeb0a"}, - {file = "charset_normalizer-3.3.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:45485e01ff4d3630ec0d9617310448a8702f70e9c01906b0d0118bdf9d124cf2"}, - {file = "charset_normalizer-3.3.2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:eb00ed941194665c332bf8e078baf037d6c35d7c4f3102ea2d4f16ca94a26dc8"}, - {file = "charset_normalizer-3.3.2-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:2127566c664442652f024c837091890cb1942c30937add288223dc895793f898"}, - {file = "charset_normalizer-3.3.2-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:a50aebfa173e157099939b17f18600f72f84eed3049e743b68ad15bd69b6bf99"}, - {file = "charset_normalizer-3.3.2-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:4d0d1650369165a14e14e1e47b372cfcb31d6ab44e6e33cb2d4e57265290044d"}, - {file = "charset_normalizer-3.3.2-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:923c0c831b7cfcb071580d3f46c4baf50f174be571576556269530f4bbd79d04"}, - {file = "charset_normalizer-3.3.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:06a81e93cd441c56a9b65d8e1d043daeb97a3d0856d177d5c90ba85acb3db087"}, - {file = "charset_normalizer-3.3.2-cp38-cp38-win32.whl", hash = "sha256:6ef1d82a3af9d3eecdba2321dc1b3c238245d890843e040e41e470ffa64c3e25"}, - {file = "charset_normalizer-3.3.2-cp38-cp38-win_amd64.whl", hash = "sha256:eb8821e09e916165e160797a6c17edda0679379a4be5c716c260e836e122f54b"}, - {file = "charset_normalizer-3.3.2-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:c235ebd9baae02f1b77bcea61bce332cb4331dc3617d254df3323aa01ab47bd4"}, - {file = "charset_normalizer-3.3.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:5b4c145409bef602a690e7cfad0a15a55c13320ff7a3ad7ca59c13bb8ba4d45d"}, - {file = "charset_normalizer-3.3.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:68d1f8a9e9e37c1223b656399be5d6b448dea850bed7d0f87a8311f1ff3dabb0"}, - {file = "charset_normalizer-3.3.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:22afcb9f253dac0696b5a4be4a1c0f8762f8239e21b99680099abd9b2b1b2269"}, - {file = "charset_normalizer-3.3.2-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e27ad930a842b4c5eb8ac0016b0a54f5aebbe679340c26101df33424142c143c"}, - {file = "charset_normalizer-3.3.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1f79682fbe303db92bc2b1136016a38a42e835d932bab5b3b1bfcfbf0640e519"}, - {file = "charset_normalizer-3.3.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b261ccdec7821281dade748d088bb6e9b69e6d15b30652b74cbbac25e280b796"}, - {file = "charset_normalizer-3.3.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:122c7fa62b130ed55f8f285bfd56d5f4b4a5b503609d181f9ad85e55c89f4185"}, - {file = "charset_normalizer-3.3.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:d0eccceffcb53201b5bfebb52600a5fb483a20b61da9dbc885f8b103cbe7598c"}, - {file = "charset_normalizer-3.3.2-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:9f96df6923e21816da7e0ad3fd47dd8f94b2a5ce594e00677c0013018b813458"}, - {file = "charset_normalizer-3.3.2-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:7f04c839ed0b6b98b1a7501a002144b76c18fb1c1850c8b98d458ac269e26ed2"}, - {file = "charset_normalizer-3.3.2-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:34d1c8da1e78d2e001f363791c98a272bb734000fcef47a491c1e3b0505657a8"}, - {file = "charset_normalizer-3.3.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:ff8fa367d09b717b2a17a052544193ad76cd49979c805768879cb63d9ca50561"}, - {file = "charset_normalizer-3.3.2-cp39-cp39-win32.whl", hash = "sha256:aed38f6e4fb3f5d6bf81bfa990a07806be9d83cf7bacef998ab1a9bd660a581f"}, - {file = "charset_normalizer-3.3.2-cp39-cp39-win_amd64.whl", hash = "sha256:b01b88d45a6fcb69667cd6d2f7a9aeb4bf53760d7fc536bf679ec94fe9f3ff3d"}, - {file = "charset_normalizer-3.3.2-py3-none-any.whl", hash = "sha256:3e4d1f6587322d2788836a99c69062fbb091331ec940e02d12d179c1d53e25fc"}, -] - -[[package]] -name = "colorama" -version = "0.4.6" -description = "Cross-platform colored terminal text." -optional = false -python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" -files = [ - {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, - {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, -] - -[[package]] -name = "comm" -version = "0.2.2" -description = "Jupyter Python Comm implementation, for usage in ipykernel, xeus-python etc." -optional = false -python-versions = ">=3.8" -files = [ - {file = "comm-0.2.2-py3-none-any.whl", hash = "sha256:e6fb86cb70ff661ee8c9c14e7d36d6de3b4066f1441be4063df9c5009f0a64d3"}, - {file = "comm-0.2.2.tar.gz", hash = "sha256:3fd7a84065306e07bea1773df6eb8282de51ba82f77c72f9c85716ab11fe980e"}, -] - -[package.dependencies] -traitlets = ">=4" - -[package.extras] -test = ["pytest"] - -[[package]] -name = "contourpy" -version = "1.3.0" -description = "Python library for calculating contours of 2D quadrilateral grids" -optional = false -python-versions = ">=3.9" -files = [ - {file = "contourpy-1.3.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:880ea32e5c774634f9fcd46504bf9f080a41ad855f4fef54f5380f5133d343c7"}, - {file = "contourpy-1.3.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:76c905ef940a4474a6289c71d53122a4f77766eef23c03cd57016ce19d0f7b42"}, - {file = "contourpy-1.3.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:92f8557cbb07415a4d6fa191f20fd9d2d9eb9c0b61d1b2f52a8926e43c6e9af7"}, - {file = "contourpy-1.3.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:36f965570cff02b874773c49bfe85562b47030805d7d8360748f3eca570f4cab"}, - {file = "contourpy-1.3.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:cacd81e2d4b6f89c9f8a5b69b86490152ff39afc58a95af002a398273e5ce589"}, - {file = "contourpy-1.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:69375194457ad0fad3a839b9e29aa0b0ed53bb54db1bfb6c3ae43d111c31ce41"}, - {file = "contourpy-1.3.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:7a52040312b1a858b5e31ef28c2e865376a386c60c0e248370bbea2d3f3b760d"}, - {file = "contourpy-1.3.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:3faeb2998e4fcb256542e8a926d08da08977f7f5e62cf733f3c211c2a5586223"}, - {file = "contourpy-1.3.0-cp310-cp310-win32.whl", hash = "sha256:36e0cff201bcb17a0a8ecc7f454fe078437fa6bda730e695a92f2d9932bd507f"}, - {file = "contourpy-1.3.0-cp310-cp310-win_amd64.whl", hash = "sha256:87ddffef1dbe5e669b5c2440b643d3fdd8622a348fe1983fad7a0f0ccb1cd67b"}, - {file = "contourpy-1.3.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:0fa4c02abe6c446ba70d96ece336e621efa4aecae43eaa9b030ae5fb92b309ad"}, - {file = "contourpy-1.3.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:834e0cfe17ba12f79963861e0f908556b2cedd52e1f75e6578801febcc6a9f49"}, - {file = "contourpy-1.3.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dbc4c3217eee163fa3984fd1567632b48d6dfd29216da3ded3d7b844a8014a66"}, - {file = "contourpy-1.3.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4865cd1d419e0c7a7bf6de1777b185eebdc51470800a9f42b9e9decf17762081"}, - {file = "contourpy-1.3.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:303c252947ab4b14c08afeb52375b26781ccd6a5ccd81abcdfc1fafd14cf93c1"}, - {file = "contourpy-1.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:637f674226be46f6ba372fd29d9523dd977a291f66ab2a74fbeb5530bb3f445d"}, - {file = "contourpy-1.3.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:76a896b2f195b57db25d6b44e7e03f221d32fe318d03ede41f8b4d9ba1bff53c"}, - {file = "contourpy-1.3.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:e1fd23e9d01591bab45546c089ae89d926917a66dceb3abcf01f6105d927e2cb"}, - {file = "contourpy-1.3.0-cp311-cp311-win32.whl", hash = "sha256:d402880b84df3bec6eab53cd0cf802cae6a2ef9537e70cf75e91618a3801c20c"}, - {file = "contourpy-1.3.0-cp311-cp311-win_amd64.whl", hash = "sha256:6cb6cc968059db9c62cb35fbf70248f40994dfcd7aa10444bbf8b3faeb7c2d67"}, - {file = "contourpy-1.3.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:570ef7cf892f0afbe5b2ee410c507ce12e15a5fa91017a0009f79f7d93a1268f"}, - {file = "contourpy-1.3.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:da84c537cb8b97d153e9fb208c221c45605f73147bd4cadd23bdae915042aad6"}, - {file = "contourpy-1.3.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0be4d8425bfa755e0fd76ee1e019636ccc7c29f77a7c86b4328a9eb6a26d0639"}, - {file = "contourpy-1.3.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9c0da700bf58f6e0b65312d0a5e695179a71d0163957fa381bb3c1f72972537c"}, - {file = "contourpy-1.3.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:eb8b141bb00fa977d9122636b16aa67d37fd40a3d8b52dd837e536d64b9a4d06"}, - {file = "contourpy-1.3.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3634b5385c6716c258d0419c46d05c8aa7dc8cb70326c9a4fb66b69ad2b52e09"}, - {file = "contourpy-1.3.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:0dce35502151b6bd35027ac39ba6e5a44be13a68f55735c3612c568cac3805fd"}, - {file = "contourpy-1.3.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:aea348f053c645100612b333adc5983d87be69acdc6d77d3169c090d3b01dc35"}, - {file = "contourpy-1.3.0-cp312-cp312-win32.whl", hash = "sha256:90f73a5116ad1ba7174341ef3ea5c3150ddf20b024b98fb0c3b29034752c8aeb"}, - {file = "contourpy-1.3.0-cp312-cp312-win_amd64.whl", hash = "sha256:b11b39aea6be6764f84360fce6c82211a9db32a7c7de8fa6dd5397cf1d079c3b"}, - {file = "contourpy-1.3.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:3e1c7fa44aaae40a2247e2e8e0627f4bea3dd257014764aa644f319a5f8600e3"}, - {file = "contourpy-1.3.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:364174c2a76057feef647c802652f00953b575723062560498dc7930fc9b1cb7"}, - {file = "contourpy-1.3.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:32b238b3b3b649e09ce9aaf51f0c261d38644bdfa35cbaf7b263457850957a84"}, - {file = "contourpy-1.3.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d51fca85f9f7ad0b65b4b9fe800406d0d77017d7270d31ec3fb1cc07358fdea0"}, - {file = "contourpy-1.3.0-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:732896af21716b29ab3e988d4ce14bc5133733b85956316fb0c56355f398099b"}, - {file = "contourpy-1.3.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d73f659398a0904e125280836ae6f88ba9b178b2fed6884f3b1f95b989d2c8da"}, - {file = "contourpy-1.3.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:c6c7c2408b7048082932cf4e641fa3b8ca848259212f51c8c59c45aa7ac18f14"}, - {file = "contourpy-1.3.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:f317576606de89da6b7e0861cf6061f6146ead3528acabff9236458a6ba467f8"}, - {file = "contourpy-1.3.0-cp313-cp313-win32.whl", hash = "sha256:31cd3a85dbdf1fc002280c65caa7e2b5f65e4a973fcdf70dd2fdcb9868069294"}, - {file = "contourpy-1.3.0-cp313-cp313-win_amd64.whl", hash = "sha256:4553c421929ec95fb07b3aaca0fae668b2eb5a5203d1217ca7c34c063c53d087"}, - {file = "contourpy-1.3.0-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:345af746d7766821d05d72cb8f3845dfd08dd137101a2cb9b24de277d716def8"}, - {file = "contourpy-1.3.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:3bb3808858a9dc68f6f03d319acd5f1b8a337e6cdda197f02f4b8ff67ad2057b"}, - {file = "contourpy-1.3.0-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:420d39daa61aab1221567b42eecb01112908b2cab7f1b4106a52caaec8d36973"}, - {file = "contourpy-1.3.0-cp313-cp313t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4d63ee447261e963af02642ffcb864e5a2ee4cbfd78080657a9880b8b1868e18"}, - {file = "contourpy-1.3.0-cp313-cp313t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:167d6c890815e1dac9536dca00828b445d5d0df4d6a8c6adb4a7ec3166812fa8"}, - {file = "contourpy-1.3.0-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:710a26b3dc80c0e4febf04555de66f5fd17e9cf7170a7b08000601a10570bda6"}, - {file = "contourpy-1.3.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:75ee7cb1a14c617f34a51d11fa7524173e56551646828353c4af859c56b766e2"}, - {file = "contourpy-1.3.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:33c92cdae89ec5135d036e7218e69b0bb2851206077251f04a6c4e0e21f03927"}, - {file = "contourpy-1.3.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:a11077e395f67ffc2c44ec2418cfebed032cd6da3022a94fc227b6faf8e2acb8"}, - {file = "contourpy-1.3.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:e8134301d7e204c88ed7ab50028ba06c683000040ede1d617298611f9dc6240c"}, - {file = "contourpy-1.3.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e12968fdfd5bb45ffdf6192a590bd8ddd3ba9e58360b29683c6bb71a7b41edca"}, - {file = "contourpy-1.3.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:fd2a0fc506eccaaa7595b7e1418951f213cf8255be2600f1ea1b61e46a60c55f"}, - {file = "contourpy-1.3.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4cfb5c62ce023dfc410d6059c936dcf96442ba40814aefbfa575425a3a7f19dc"}, - {file = "contourpy-1.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:68a32389b06b82c2fdd68276148d7b9275b5f5cf13e5417e4252f6d1a34f72a2"}, - {file = "contourpy-1.3.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:94e848a6b83da10898cbf1311a815f770acc9b6a3f2d646f330d57eb4e87592e"}, - {file = "contourpy-1.3.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:d78ab28a03c854a873787a0a42254a0ccb3cb133c672f645c9f9c8f3ae9d0800"}, - {file = "contourpy-1.3.0-cp39-cp39-win32.whl", hash = "sha256:81cb5ed4952aae6014bc9d0421dec7c5835c9c8c31cdf51910b708f548cf58e5"}, - {file = "contourpy-1.3.0-cp39-cp39-win_amd64.whl", hash = "sha256:14e262f67bd7e6eb6880bc564dcda30b15e351a594657e55b7eec94b6ef72843"}, - {file = "contourpy-1.3.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:fe41b41505a5a33aeaed2a613dccaeaa74e0e3ead6dd6fd3a118fb471644fd6c"}, - {file = "contourpy-1.3.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:eca7e17a65f72a5133bdbec9ecf22401c62bcf4821361ef7811faee695799779"}, - {file = "contourpy-1.3.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:1ec4dc6bf570f5b22ed0d7efba0dfa9c5b9e0431aeea7581aa217542d9e809a4"}, - {file = "contourpy-1.3.0-pp39-pypy39_pp73-macosx_10_15_x86_64.whl", hash = "sha256:00ccd0dbaad6d804ab259820fa7cb0b8036bda0686ef844d24125d8287178ce0"}, - {file = "contourpy-1.3.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8ca947601224119117f7c19c9cdf6b3ab54c5726ef1d906aa4a69dfb6dd58102"}, - {file = "contourpy-1.3.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:c6ec93afeb848a0845a18989da3beca3eec2c0f852322efe21af1931147d12cb"}, - {file = "contourpy-1.3.0.tar.gz", hash = "sha256:7ffa0db17717a8ffb127efd0c95a4362d996b892c2904db72428d5b52e1938a4"}, -] - -[package.dependencies] -numpy = ">=1.23" - -[package.extras] -bokeh = ["bokeh", "selenium"] -docs = ["furo", "sphinx (>=7.2)", "sphinx-copybutton"] -mypy = ["contourpy[bokeh,docs]", "docutils-stubs", "mypy (==1.11.1)", "types-Pillow"] -test = ["Pillow", "contourpy[test-no-images]", "matplotlib"] -test-no-images = ["pytest", "pytest-cov", "pytest-rerunfailures", "pytest-xdist", "wurlitzer"] - -[[package]] -name = "cycler" -version = "0.12.1" -description = "Composable style cycles" -optional = false -python-versions = ">=3.8" -files = [ - {file = "cycler-0.12.1-py3-none-any.whl", hash = "sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30"}, - {file = "cycler-0.12.1.tar.gz", hash = "sha256:88bb128f02ba341da8ef447245a9e138fae777f6a23943da4540077d3601eb1c"}, -] - -[package.extras] -docs = ["ipython", "matplotlib", "numpydoc", "sphinx"] -tests = ["pytest", "pytest-cov", "pytest-xdist"] - -[[package]] -name = "debugpy" -version = "1.8.5" -description = "An implementation of the Debug Adapter Protocol for Python" -optional = false -python-versions = ">=3.8" -files = [ - {file = "debugpy-1.8.5-cp310-cp310-macosx_12_0_x86_64.whl", hash = "sha256:7e4d594367d6407a120b76bdaa03886e9eb652c05ba7f87e37418426ad2079f7"}, - {file = "debugpy-1.8.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4413b7a3ede757dc33a273a17d685ea2b0c09dbd312cc03f5534a0fd4d40750a"}, - {file = "debugpy-1.8.5-cp310-cp310-win32.whl", hash = "sha256:dd3811bd63632bb25eda6bd73bea8e0521794cda02be41fa3160eb26fc29e7ed"}, - {file = "debugpy-1.8.5-cp310-cp310-win_amd64.whl", hash = "sha256:b78c1250441ce893cb5035dd6f5fc12db968cc07f91cc06996b2087f7cefdd8e"}, - {file = "debugpy-1.8.5-cp311-cp311-macosx_12_0_universal2.whl", hash = "sha256:606bccba19f7188b6ea9579c8a4f5a5364ecd0bf5a0659c8a5d0e10dcee3032a"}, - {file = "debugpy-1.8.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:db9fb642938a7a609a6c865c32ecd0d795d56c1aaa7a7a5722d77855d5e77f2b"}, - {file = "debugpy-1.8.5-cp311-cp311-win32.whl", hash = "sha256:4fbb3b39ae1aa3e5ad578f37a48a7a303dad9a3d018d369bc9ec629c1cfa7408"}, - {file = "debugpy-1.8.5-cp311-cp311-win_amd64.whl", hash = "sha256:345d6a0206e81eb68b1493ce2fbffd57c3088e2ce4b46592077a943d2b968ca3"}, - {file = "debugpy-1.8.5-cp312-cp312-macosx_12_0_universal2.whl", hash = "sha256:5b5c770977c8ec6c40c60d6f58cacc7f7fe5a45960363d6974ddb9b62dbee156"}, - {file = "debugpy-1.8.5-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c0a65b00b7cdd2ee0c2cf4c7335fef31e15f1b7056c7fdbce9e90193e1a8c8cb"}, - {file = "debugpy-1.8.5-cp312-cp312-win32.whl", hash = "sha256:c9f7c15ea1da18d2fcc2709e9f3d6de98b69a5b0fff1807fb80bc55f906691f7"}, - {file = "debugpy-1.8.5-cp312-cp312-win_amd64.whl", hash = "sha256:28ced650c974aaf179231668a293ecd5c63c0a671ae6d56b8795ecc5d2f48d3c"}, - {file = "debugpy-1.8.5-cp38-cp38-macosx_12_0_x86_64.whl", hash = "sha256:3df6692351172a42af7558daa5019651f898fc67450bf091335aa8a18fbf6f3a"}, - {file = "debugpy-1.8.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1cd04a73eb2769eb0bfe43f5bfde1215c5923d6924b9b90f94d15f207a402226"}, - {file = "debugpy-1.8.5-cp38-cp38-win32.whl", hash = "sha256:8f913ee8e9fcf9d38a751f56e6de12a297ae7832749d35de26d960f14280750a"}, - {file = "debugpy-1.8.5-cp38-cp38-win_amd64.whl", hash = "sha256:a697beca97dad3780b89a7fb525d5e79f33821a8bc0c06faf1f1289e549743cf"}, - {file = "debugpy-1.8.5-cp39-cp39-macosx_12_0_x86_64.whl", hash = "sha256:0a1029a2869d01cb777216af8c53cda0476875ef02a2b6ff8b2f2c9a4b04176c"}, - {file = "debugpy-1.8.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e84c276489e141ed0b93b0af648eef891546143d6a48f610945416453a8ad406"}, - {file = "debugpy-1.8.5-cp39-cp39-win32.whl", hash = "sha256:ad84b7cde7fd96cf6eea34ff6c4a1b7887e0fe2ea46e099e53234856f9d99a34"}, - {file = "debugpy-1.8.5-cp39-cp39-win_amd64.whl", hash = "sha256:7b0fe36ed9d26cb6836b0a51453653f8f2e347ba7348f2bbfe76bfeb670bfb1c"}, - {file = "debugpy-1.8.5-py2.py3-none-any.whl", hash = "sha256:55919dce65b471eff25901acf82d328bbd5b833526b6c1364bd5133754777a44"}, - {file = "debugpy-1.8.5.zip", hash = "sha256:b2112cfeb34b4507399d298fe7023a16656fc553ed5246536060ca7bd0e668d0"}, -] - -[[package]] -name = "decorator" -version = "5.1.1" -description = "Decorators for Humans" -optional = false -python-versions = ">=3.5" -files = [ - {file = "decorator-5.1.1-py3-none-any.whl", hash = "sha256:b8c3f85900b9dc423225913c5aace94729fe1fa9763b38939a95226f02d37186"}, - {file = "decorator-5.1.1.tar.gz", hash = "sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330"}, -] - -[[package]] -name = "defusedxml" -version = "0.7.1" -description = "XML bomb protection for Python stdlib modules" -optional = false -python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" -files = [ - {file = "defusedxml-0.7.1-py2.py3-none-any.whl", hash = "sha256:a352e7e428770286cc899e2542b6cdaedb2b4953ff269a210103ec58f6198a61"}, - {file = "defusedxml-0.7.1.tar.gz", hash = "sha256:1bb3032db185915b62d7c6209c5a8792be6a32ab2fedacc84e01b52c51aa3e69"}, -] - -[[package]] -name = "executing" -version = "2.0.1" -description = "Get the currently executing AST node of a frame, and other information" -optional = false -python-versions = ">=3.5" -files = [ - {file = "executing-2.0.1-py2.py3-none-any.whl", hash = "sha256:eac49ca94516ccc753f9fb5ce82603156e590b27525a8bc32cce8ae302eb61bc"}, - {file = "executing-2.0.1.tar.gz", hash = "sha256:35afe2ce3affba8ee97f2d69927fa823b08b472b7b994e36a52a964b93d16147"}, -] - -[package.extras] -tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipython", "littleutils", "pytest", "rich"] - -[[package]] -name = "fastjsonschema" -version = "2.20.0" -description = "Fastest Python implementation of JSON schema" -optional = false -python-versions = "*" -files = [ - {file = "fastjsonschema-2.20.0-py3-none-any.whl", hash = "sha256:5875f0b0fa7a0043a91e93a9b8f793bcbbba9691e7fd83dca95c28ba26d21f0a"}, - {file = "fastjsonschema-2.20.0.tar.gz", hash = "sha256:3d48fc5300ee96f5d116f10fe6f28d938e6008f59a6a025c2649475b87f76a23"}, -] - -[package.extras] -devel = ["colorama", "json-spec", "jsonschema", "pylint", "pytest", "pytest-benchmark", "pytest-cache", "validictory"] - -[[package]] -name = "fonttools" -version = "4.53.1" -description = "Tools to manipulate font files" -optional = false -python-versions = ">=3.8" -files = [ - {file = "fonttools-4.53.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:0679a30b59d74b6242909945429dbddb08496935b82f91ea9bf6ad240ec23397"}, - {file = "fonttools-4.53.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e8bf06b94694251861ba7fdeea15c8ec0967f84c3d4143ae9daf42bbc7717fe3"}, - {file = "fonttools-4.53.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b96cd370a61f4d083c9c0053bf634279b094308d52fdc2dd9a22d8372fdd590d"}, - {file = "fonttools-4.53.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a1c7c5aa18dd3b17995898b4a9b5929d69ef6ae2af5b96d585ff4005033d82f0"}, - {file = "fonttools-4.53.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:e013aae589c1c12505da64a7d8d023e584987e51e62006e1bb30d72f26522c41"}, - {file = "fonttools-4.53.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:9efd176f874cb6402e607e4cc9b4a9cd584d82fc34a4b0c811970b32ba62501f"}, - {file = "fonttools-4.53.1-cp310-cp310-win32.whl", hash = "sha256:c8696544c964500aa9439efb6761947393b70b17ef4e82d73277413f291260a4"}, - {file = "fonttools-4.53.1-cp310-cp310-win_amd64.whl", hash = "sha256:8959a59de5af6d2bec27489e98ef25a397cfa1774b375d5787509c06659b3671"}, - {file = "fonttools-4.53.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:da33440b1413bad53a8674393c5d29ce64d8c1a15ef8a77c642ffd900d07bfe1"}, - {file = "fonttools-4.53.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:5ff7e5e9bad94e3a70c5cd2fa27f20b9bb9385e10cddab567b85ce5d306ea923"}, - {file = "fonttools-4.53.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c6e7170d675d12eac12ad1a981d90f118c06cf680b42a2d74c6c931e54b50719"}, - {file = "fonttools-4.53.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bee32ea8765e859670c4447b0817514ca79054463b6b79784b08a8df3a4d78e3"}, - {file = "fonttools-4.53.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:6e08f572625a1ee682115223eabebc4c6a2035a6917eac6f60350aba297ccadb"}, - {file = "fonttools-4.53.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:b21952c092ffd827504de7e66b62aba26fdb5f9d1e435c52477e6486e9d128b2"}, - {file = "fonttools-4.53.1-cp311-cp311-win32.whl", hash = "sha256:9dfdae43b7996af46ff9da520998a32b105c7f098aeea06b2226b30e74fbba88"}, - {file = "fonttools-4.53.1-cp311-cp311-win_amd64.whl", hash = "sha256:d4d0096cb1ac7a77b3b41cd78c9b6bc4a400550e21dc7a92f2b5ab53ed74eb02"}, - {file = "fonttools-4.53.1-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:d92d3c2a1b39631a6131c2fa25b5406855f97969b068e7e08413325bc0afba58"}, - {file = "fonttools-4.53.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:3b3c8ebafbee8d9002bd8f1195d09ed2bd9ff134ddec37ee8f6a6375e6a4f0e8"}, - {file = "fonttools-4.53.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:32f029c095ad66c425b0ee85553d0dc326d45d7059dbc227330fc29b43e8ba60"}, - {file = "fonttools-4.53.1-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:10f5e6c3510b79ea27bb1ebfcc67048cde9ec67afa87c7dd7efa5c700491ac7f"}, - {file = "fonttools-4.53.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:f677ce218976496a587ab17140da141557beb91d2a5c1a14212c994093f2eae2"}, - {file = "fonttools-4.53.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:9e6ceba2a01b448e36754983d376064730690401da1dd104ddb543519470a15f"}, - {file = "fonttools-4.53.1-cp312-cp312-win32.whl", hash = "sha256:791b31ebbc05197d7aa096bbc7bd76d591f05905d2fd908bf103af4488e60670"}, - {file = "fonttools-4.53.1-cp312-cp312-win_amd64.whl", hash = "sha256:6ed170b5e17da0264b9f6fae86073be3db15fa1bd74061c8331022bca6d09bab"}, - {file = "fonttools-4.53.1-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:c818c058404eb2bba05e728d38049438afd649e3c409796723dfc17cd3f08749"}, - {file = "fonttools-4.53.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:651390c3b26b0c7d1f4407cad281ee7a5a85a31a110cbac5269de72a51551ba2"}, - {file = "fonttools-4.53.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e54f1bba2f655924c1138bbc7fa91abd61f45c68bd65ab5ed985942712864bbb"}, - {file = "fonttools-4.53.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c9cd19cf4fe0595ebdd1d4915882b9440c3a6d30b008f3cc7587c1da7b95be5f"}, - {file = "fonttools-4.53.1-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:2af40ae9cdcb204fc1d8f26b190aa16534fcd4f0df756268df674a270eab575d"}, - {file = "fonttools-4.53.1-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:35250099b0cfb32d799fb5d6c651220a642fe2e3c7d2560490e6f1d3f9ae9169"}, - {file = "fonttools-4.53.1-cp38-cp38-win32.whl", hash = "sha256:f08df60fbd8d289152079a65da4e66a447efc1d5d5a4d3f299cdd39e3b2e4a7d"}, - {file = "fonttools-4.53.1-cp38-cp38-win_amd64.whl", hash = "sha256:7b6b35e52ddc8fb0db562133894e6ef5b4e54e1283dff606fda3eed938c36fc8"}, - {file = "fonttools-4.53.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:75a157d8d26c06e64ace9df037ee93a4938a4606a38cb7ffaf6635e60e253b7a"}, - {file = "fonttools-4.53.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:4824c198f714ab5559c5be10fd1adf876712aa7989882a4ec887bf1ef3e00e31"}, - {file = "fonttools-4.53.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:becc5d7cb89c7b7afa8321b6bb3dbee0eec2b57855c90b3e9bf5fb816671fa7c"}, - {file = "fonttools-4.53.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:84ec3fb43befb54be490147b4a922b5314e16372a643004f182babee9f9c3407"}, - {file = "fonttools-4.53.1-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:73379d3ffdeecb376640cd8ed03e9d2d0e568c9d1a4e9b16504a834ebadc2dfb"}, - {file = "fonttools-4.53.1-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:02569e9a810f9d11f4ae82c391ebc6fb5730d95a0657d24d754ed7763fb2d122"}, - {file = "fonttools-4.53.1-cp39-cp39-win32.whl", hash = "sha256:aae7bd54187e8bf7fd69f8ab87b2885253d3575163ad4d669a262fe97f0136cb"}, - {file = "fonttools-4.53.1-cp39-cp39-win_amd64.whl", hash = "sha256:e5b708073ea3d684235648786f5f6153a48dc8762cdfe5563c57e80787c29fbb"}, - {file = "fonttools-4.53.1-py3-none-any.whl", hash = "sha256:f1f8758a2ad110bd6432203a344269f445a2907dc24ef6bccfd0ac4e14e0d71d"}, - {file = "fonttools-4.53.1.tar.gz", hash = "sha256:e128778a8e9bc11159ce5447f76766cefbd876f44bd79aff030287254e4752c4"}, -] - -[package.extras] -all = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "fs (>=2.2.0,<3)", "lxml (>=4.0)", "lz4 (>=1.7.4.2)", "matplotlib", "munkres", "pycairo", "scipy", "skia-pathops (>=0.5.0)", "sympy", "uharfbuzz (>=0.23.0)", "unicodedata2 (>=15.1.0)", "xattr", "zopfli (>=0.1.4)"] -graphite = ["lz4 (>=1.7.4.2)"] -interpolatable = ["munkres", "pycairo", "scipy"] -lxml = ["lxml (>=4.0)"] -pathops = ["skia-pathops (>=0.5.0)"] -plot = ["matplotlib"] -repacker = ["uharfbuzz (>=0.23.0)"] -symfont = ["sympy"] -type1 = ["xattr"] -ufo = ["fs (>=2.2.0,<3)"] -unicode = ["unicodedata2 (>=15.1.0)"] -woff = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "zopfli (>=0.1.4)"] - -[[package]] -name = "fqdn" -version = "1.5.1" -description = "Validates fully-qualified domain names against RFC 1123, so that they are acceptable to modern bowsers" -optional = false -python-versions = ">=2.7, !=3.0, !=3.1, !=3.2, !=3.3, !=3.4, <4" -files = [ - {file = "fqdn-1.5.1-py3-none-any.whl", hash = "sha256:3a179af3761e4df6eb2e026ff9e1a3033d3587bf980a0b1b2e1e5d08d7358014"}, - {file = "fqdn-1.5.1.tar.gz", hash = "sha256:105ed3677e767fb5ca086a0c1f4bb66ebc3c100be518f0e0d755d9eae164d89f"}, -] - -[[package]] -name = "h11" -version = "0.14.0" -description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1" -optional = false -python-versions = ">=3.7" -files = [ - {file = "h11-0.14.0-py3-none-any.whl", hash = "sha256:e3fe4ac4b851c468cc8363d500db52c2ead036020723024a109d37346efaa761"}, - {file = "h11-0.14.0.tar.gz", hash = "sha256:8f19fbbe99e72420ff35c00b27a34cb9937e902a8b810e2c88300c6f0a3b699d"}, -] - -[[package]] -name = "httpcore" -version = "1.0.5" -description = "A minimal low-level HTTP client." -optional = false -python-versions = ">=3.8" -files = [ - {file = "httpcore-1.0.5-py3-none-any.whl", hash = "sha256:421f18bac248b25d310f3cacd198d55b8e6125c107797b609ff9b7a6ba7991b5"}, - {file = "httpcore-1.0.5.tar.gz", hash = "sha256:34a38e2f9291467ee3b44e89dd52615370e152954ba21721378a87b2960f7a61"}, -] - -[package.dependencies] -certifi = "*" -h11 = ">=0.13,<0.15" - -[package.extras] -asyncio = ["anyio (>=4.0,<5.0)"] -http2 = ["h2 (>=3,<5)"] -socks = ["socksio (==1.*)"] -trio = ["trio (>=0.22.0,<0.26.0)"] - -[[package]] -name = "httpx" -version = "0.27.2" -description = "The next generation HTTP client." -optional = false -python-versions = ">=3.8" -files = [ - {file = "httpx-0.27.2-py3-none-any.whl", hash = "sha256:7bb2708e112d8fdd7829cd4243970f0c223274051cb35ee80c03301ee29a3df0"}, - {file = "httpx-0.27.2.tar.gz", hash = "sha256:f7c2be1d2f3c3c3160d441802406b206c2b76f5947b11115e6df10c6c65e66c2"}, -] - -[package.dependencies] -anyio = "*" -certifi = "*" -httpcore = "==1.*" -idna = "*" -sniffio = "*" - -[package.extras] -brotli = ["brotli", "brotlicffi"] -cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"] -http2 = ["h2 (>=3,<5)"] -socks = ["socksio (==1.*)"] -zstd = ["zstandard (>=0.18.0)"] - -[[package]] -name = "idna" -version = "3.8" -description = "Internationalized Domain Names in Applications (IDNA)" -optional = false -python-versions = ">=3.6" -files = [ - {file = "idna-3.8-py3-none-any.whl", hash = "sha256:050b4e5baadcd44d760cedbd2b8e639f2ff89bbc7a5730fcc662954303377aac"}, - {file = "idna-3.8.tar.gz", hash = "sha256:d838c2c0ed6fced7693d5e8ab8e734d5f8fda53a039c0164afb0b82e771e3603"}, -] - -[[package]] -name = "ipykernel" -version = "6.29.5" -description = "IPython Kernel for Jupyter" -optional = false -python-versions = ">=3.8" -files = [ - {file = "ipykernel-6.29.5-py3-none-any.whl", hash = "sha256:afdb66ba5aa354b09b91379bac28ae4afebbb30e8b39510c9690afb7a10421b5"}, - {file = "ipykernel-6.29.5.tar.gz", hash = "sha256:f093a22c4a40f8828f8e330a9c297cb93dcab13bd9678ded6de8e5cf81c56215"}, -] - -[package.dependencies] -appnope = {version = "*", markers = "platform_system == \"Darwin\""} -comm = ">=0.1.1" -debugpy = ">=1.6.5" -ipython = ">=7.23.1" -jupyter-client = ">=6.1.12" -jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0" -matplotlib-inline = ">=0.1" -nest-asyncio = "*" -packaging = "*" -psutil = "*" -pyzmq = ">=24" -tornado = ">=6.1" -traitlets = ">=5.4.0" - -[package.extras] -cov = ["coverage[toml]", "curio", "matplotlib", "pytest-cov", "trio"] -docs = ["myst-parser", "pydata-sphinx-theme", "sphinx", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling", "trio"] -pyqt5 = ["pyqt5"] -pyside6 = ["pyside6"] -test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0)", "pytest-asyncio (>=0.23.5)", "pytest-cov", "pytest-timeout"] - -[[package]] -name = "ipython" -version = "8.27.0" -description = "IPython: Productive Interactive Computing" -optional = false -python-versions = ">=3.10" -files = [ - {file = "ipython-8.27.0-py3-none-any.whl", hash = "sha256:f68b3cb8bde357a5d7adc9598d57e22a45dfbea19eb6b98286fa3b288c9cd55c"}, - {file = "ipython-8.27.0.tar.gz", hash = "sha256:0b99a2dc9f15fd68692e898e5568725c6d49c527d36a9fb5960ffbdeaa82ff7e"}, -] - -[package.dependencies] -colorama = {version = "*", markers = "sys_platform == \"win32\""} -decorator = "*" -jedi = ">=0.16" -matplotlib-inline = "*" -pexpect = {version = ">4.3", markers = "sys_platform != \"win32\" and sys_platform != \"emscripten\""} -prompt-toolkit = ">=3.0.41,<3.1.0" -pygments = ">=2.4.0" -stack-data = "*" -traitlets = ">=5.13.0" - -[package.extras] -all = ["ipython[black,doc,kernel,matplotlib,nbconvert,nbformat,notebook,parallel,qtconsole]", "ipython[test,test-extra]"] -black = ["black"] -doc = ["docrepr", "exceptiongroup", "intersphinx-registry", "ipykernel", "ipython[test]", "matplotlib", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "sphinxcontrib-jquery", "tomli", "typing-extensions"] -kernel = ["ipykernel"] -matplotlib = ["matplotlib"] -nbconvert = ["nbconvert"] -nbformat = ["nbformat"] -notebook = ["ipywidgets", "notebook"] -parallel = ["ipyparallel"] -qtconsole = ["qtconsole"] -test = ["packaging", "pickleshare", "pytest", "pytest-asyncio (<0.22)", "testpath"] -test-extra = ["curio", "ipython[test]", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.23)", "pandas", "trio"] - -[[package]] -name = "ipywidgets" -version = "8.1.5" -description = "Jupyter interactive widgets" -optional = false -python-versions = ">=3.7" -files = [ - {file = "ipywidgets-8.1.5-py3-none-any.whl", hash = "sha256:3290f526f87ae6e77655555baba4f36681c555b8bdbbff430b70e52c34c86245"}, - {file = "ipywidgets-8.1.5.tar.gz", hash = "sha256:870e43b1a35656a80c18c9503bbf2d16802db1cb487eec6fab27d683381dde17"}, -] - -[package.dependencies] -comm = ">=0.1.3" -ipython = ">=6.1.0" -jupyterlab-widgets = ">=3.0.12,<3.1.0" -traitlets = ">=4.3.1" -widgetsnbextension = ">=4.0.12,<4.1.0" - -[package.extras] -test = ["ipykernel", "jsonschema", "pytest (>=3.6.0)", "pytest-cov", "pytz"] - -[[package]] -name = "isoduration" -version = "20.11.0" -description = "Operations with ISO 8601 durations" -optional = false -python-versions = ">=3.7" -files = [ - {file = "isoduration-20.11.0-py3-none-any.whl", hash = "sha256:b2904c2a4228c3d44f409c8ae8e2370eb21a26f7ac2ec5446df141dde3452042"}, - {file = "isoduration-20.11.0.tar.gz", hash = "sha256:ac2f9015137935279eac671f94f89eb00584f940f5dc49462a0c4ee692ba1bd9"}, -] - -[package.dependencies] -arrow = ">=0.15.0" - -[[package]] -name = "jedi" -version = "0.19.1" -description = "An autocompletion tool for Python that can be used for text editors." -optional = false -python-versions = ">=3.6" -files = [ - {file = "jedi-0.19.1-py2.py3-none-any.whl", hash = "sha256:e983c654fe5c02867aef4cdfce5a2fbb4a50adc0af145f70504238f18ef5e7e0"}, - {file = "jedi-0.19.1.tar.gz", hash = "sha256:cf0496f3651bc65d7174ac1b7d043eff454892c708a87d1b683e57b569927ffd"}, -] - -[package.dependencies] -parso = ">=0.8.3,<0.9.0" - -[package.extras] -docs = ["Jinja2 (==2.11.3)", "MarkupSafe (==1.1.1)", "Pygments (==2.8.1)", "alabaster (==0.7.12)", "babel (==2.9.1)", "chardet (==4.0.0)", "commonmark (==0.8.1)", "docutils (==0.17.1)", "future (==0.18.2)", "idna (==2.10)", "imagesize (==1.2.0)", "mock (==1.0.1)", "packaging (==20.9)", "pyparsing (==2.4.7)", "pytz (==2021.1)", "readthedocs-sphinx-ext (==2.1.4)", "recommonmark (==0.5.0)", "requests (==2.25.1)", "six (==1.15.0)", "snowballstemmer (==2.1.0)", "sphinx (==1.8.5)", "sphinx-rtd-theme (==0.4.3)", "sphinxcontrib-serializinghtml (==1.1.4)", "sphinxcontrib-websupport (==1.2.4)", "urllib3 (==1.26.4)"] -qa = ["flake8 (==5.0.4)", "mypy (==0.971)", "types-setuptools (==67.2.0.1)"] -testing = ["Django", "attrs", "colorama", "docopt", "pytest (<7.0.0)"] - -[[package]] -name = "jinja2" -version = "3.1.4" -description = "A very fast and expressive template engine." -optional = false -python-versions = ">=3.7" -files = [ - {file = "jinja2-3.1.4-py3-none-any.whl", hash = "sha256:bc5dd2abb727a5319567b7a813e6a2e7318c39f4f487cfe6c89c6f9c7d25197d"}, - {file = "jinja2-3.1.4.tar.gz", hash = "sha256:4a3aee7acbbe7303aede8e9648d13b8bf88a429282aa6122a993f0ac800cb369"}, -] - -[package.dependencies] -MarkupSafe = ">=2.0" - -[package.extras] -i18n = ["Babel (>=2.7)"] - -[[package]] -name = "json5" -version = "0.9.25" -description = "A Python implementation of the JSON5 data format." -optional = false -python-versions = ">=3.8" -files = [ - {file = "json5-0.9.25-py3-none-any.whl", hash = "sha256:34ed7d834b1341a86987ed52f3f76cd8ee184394906b6e22a1e0deb9ab294e8f"}, - {file = "json5-0.9.25.tar.gz", hash = "sha256:548e41b9be043f9426776f05df8635a00fe06104ea51ed24b67f908856e151ae"}, -] - -[[package]] -name = "jsonpointer" -version = "3.0.0" -description = "Identify specific nodes in a JSON document (RFC 6901)" -optional = false -python-versions = ">=3.7" -files = [ - {file = "jsonpointer-3.0.0-py2.py3-none-any.whl", hash = "sha256:13e088adc14fca8b6aa8177c044e12701e6ad4b28ff10e65f2267a90109c9942"}, - {file = "jsonpointer-3.0.0.tar.gz", hash = "sha256:2b2d729f2091522d61c3b31f82e11870f60b68f43fbc705cb76bf4b832af59ef"}, -] - -[[package]] -name = "jsonschema" -version = "4.23.0" -description = "An implementation of JSON Schema validation for Python" -optional = false -python-versions = ">=3.8" -files = [ - {file = "jsonschema-4.23.0-py3-none-any.whl", hash = "sha256:fbadb6f8b144a8f8cf9f0b89ba94501d143e50411a1278633f56a7acf7fd5566"}, - {file = "jsonschema-4.23.0.tar.gz", hash = "sha256:d71497fef26351a33265337fa77ffeb82423f3ea21283cd9467bb03999266bc4"}, -] - -[package.dependencies] -attrs = ">=22.2.0" -fqdn = {version = "*", optional = true, markers = "extra == \"format-nongpl\""} -idna = {version = "*", optional = true, markers = "extra == \"format-nongpl\""} -isoduration = {version = "*", optional = true, markers = "extra == \"format-nongpl\""} -jsonpointer = {version = ">1.13", optional = true, markers = "extra == \"format-nongpl\""} -jsonschema-specifications = ">=2023.03.6" -referencing = ">=0.28.4" -rfc3339-validator = {version = "*", optional = true, markers = "extra == \"format-nongpl\""} -rfc3986-validator = {version = ">0.1.0", optional = true, markers = "extra == \"format-nongpl\""} -rpds-py = ">=0.7.1" -uri-template = {version = "*", optional = true, markers = "extra == \"format-nongpl\""} -webcolors = {version = ">=24.6.0", optional = true, markers = "extra == \"format-nongpl\""} - -[package.extras] -format = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3987", "uri-template", "webcolors (>=1.11)"] -format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3986-validator (>0.1.0)", "uri-template", "webcolors (>=24.6.0)"] - -[[package]] -name = "jsonschema-specifications" -version = "2023.12.1" -description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry" -optional = false -python-versions = ">=3.8" -files = [ - {file = "jsonschema_specifications-2023.12.1-py3-none-any.whl", hash = "sha256:87e4fdf3a94858b8a2ba2778d9ba57d8a9cafca7c7489c46ba0d30a8bc6a9c3c"}, - {file = "jsonschema_specifications-2023.12.1.tar.gz", hash = "sha256:48a76787b3e70f5ed53f1160d2b81f586e4ca6d1548c5de7085d1682674764cc"}, -] - -[package.dependencies] -referencing = ">=0.31.0" - -[[package]] -name = "jupyter" -version = "1.1.1" -description = "Jupyter metapackage. Install all the Jupyter components in one go." -optional = false -python-versions = "*" -files = [ - {file = "jupyter-1.1.1-py2.py3-none-any.whl", hash = "sha256:7a59533c22af65439b24bbe60373a4e95af8f16ac65a6c00820ad378e3f7cc83"}, - {file = "jupyter-1.1.1.tar.gz", hash = "sha256:d55467bceabdea49d7e3624af7e33d59c37fff53ed3a350e1ac957bed731de7a"}, -] - -[package.dependencies] -ipykernel = "*" -ipywidgets = "*" -jupyter-console = "*" -jupyterlab = "*" -nbconvert = "*" -notebook = "*" - -[[package]] -name = "jupyter-client" -version = "8.6.2" -description = "Jupyter protocol implementation and client libraries" -optional = false -python-versions = ">=3.8" -files = [ - {file = "jupyter_client-8.6.2-py3-none-any.whl", hash = "sha256:50cbc5c66fd1b8f65ecb66bc490ab73217993632809b6e505687de18e9dea39f"}, - {file = "jupyter_client-8.6.2.tar.gz", hash = "sha256:2bda14d55ee5ba58552a8c53ae43d215ad9868853489213f37da060ced54d8df"}, -] - -[package.dependencies] -jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0" -python-dateutil = ">=2.8.2" -pyzmq = ">=23.0" -tornado = ">=6.2" -traitlets = ">=5.3" - -[package.extras] -docs = ["ipykernel", "myst-parser", "pydata-sphinx-theme", "sphinx (>=4)", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling"] -test = ["coverage", "ipykernel (>=6.14)", "mypy", "paramiko", "pre-commit", "pytest (<8.2.0)", "pytest-cov", "pytest-jupyter[client] (>=0.4.1)", "pytest-timeout"] - -[[package]] -name = "jupyter-console" -version = "6.6.3" -description = "Jupyter terminal console" -optional = false -python-versions = ">=3.7" -files = [ - {file = "jupyter_console-6.6.3-py3-none-any.whl", hash = "sha256:309d33409fcc92ffdad25f0bcdf9a4a9daa61b6f341177570fdac03de5352485"}, - {file = "jupyter_console-6.6.3.tar.gz", hash = "sha256:566a4bf31c87adbfadf22cdf846e3069b59a71ed5da71d6ba4d8aaad14a53539"}, -] - -[package.dependencies] -ipykernel = ">=6.14" -ipython = "*" -jupyter-client = ">=7.0.0" -jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0" -prompt-toolkit = ">=3.0.30" -pygments = "*" -pyzmq = ">=17" -traitlets = ">=5.4" - -[package.extras] -test = ["flaky", "pexpect", "pytest"] - -[[package]] -name = "jupyter-core" -version = "5.7.2" -description = "Jupyter core package. A base package on which Jupyter projects rely." -optional = false -python-versions = ">=3.8" -files = [ - {file = "jupyter_core-5.7.2-py3-none-any.whl", hash = "sha256:4f7315d2f6b4bcf2e3e7cb6e46772eba760ae459cd1f59d29eb57b0a01bd7409"}, - {file = "jupyter_core-5.7.2.tar.gz", hash = "sha256:aa5f8d32bbf6b431ac830496da7392035d6f61b4f54872f15c4bd2a9c3f536d9"}, -] - -[package.dependencies] -platformdirs = ">=2.5" -pywin32 = {version = ">=300", markers = "sys_platform == \"win32\" and platform_python_implementation != \"PyPy\""} -traitlets = ">=5.3" - -[package.extras] -docs = ["myst-parser", "pydata-sphinx-theme", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling", "traitlets"] -test = ["ipykernel", "pre-commit", "pytest (<8)", "pytest-cov", "pytest-timeout"] - -[[package]] -name = "jupyter-events" -version = "0.10.0" -description = "Jupyter Event System library" -optional = false -python-versions = ">=3.8" -files = [ - {file = "jupyter_events-0.10.0-py3-none-any.whl", hash = "sha256:4b72130875e59d57716d327ea70d3ebc3af1944d3717e5a498b8a06c6c159960"}, - {file = "jupyter_events-0.10.0.tar.gz", hash = "sha256:670b8229d3cc882ec782144ed22e0d29e1c2d639263f92ca8383e66682845e22"}, -] - -[package.dependencies] -jsonschema = {version = ">=4.18.0", extras = ["format-nongpl"]} -python-json-logger = ">=2.0.4" -pyyaml = ">=5.3" -referencing = "*" -rfc3339-validator = "*" -rfc3986-validator = ">=0.1.1" -traitlets = ">=5.3" - -[package.extras] -cli = ["click", "rich"] -docs = ["jupyterlite-sphinx", "myst-parser", "pydata-sphinx-theme", "sphinxcontrib-spelling"] -test = ["click", "pre-commit", "pytest (>=7.0)", "pytest-asyncio (>=0.19.0)", "pytest-console-scripts", "rich"] - -[[package]] -name = "jupyter-lsp" -version = "2.2.5" -description = "Multi-Language Server WebSocket proxy for Jupyter Notebook/Lab server" -optional = false -python-versions = ">=3.8" -files = [ - {file = "jupyter-lsp-2.2.5.tar.gz", hash = "sha256:793147a05ad446f809fd53ef1cd19a9f5256fd0a2d6b7ce943a982cb4f545001"}, - {file = "jupyter_lsp-2.2.5-py3-none-any.whl", hash = "sha256:45fbddbd505f3fbfb0b6cb2f1bc5e15e83ab7c79cd6e89416b248cb3c00c11da"}, -] - -[package.dependencies] -jupyter-server = ">=1.1.2" - -[[package]] -name = "jupyter-server" -version = "2.14.2" -description = "The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications." -optional = false -python-versions = ">=3.8" -files = [ - {file = "jupyter_server-2.14.2-py3-none-any.whl", hash = "sha256:47ff506127c2f7851a17bf4713434208fc490955d0e8632e95014a9a9afbeefd"}, - {file = "jupyter_server-2.14.2.tar.gz", hash = "sha256:66095021aa9638ced276c248b1d81862e4c50f292d575920bbe960de1c56b12b"}, -] - -[package.dependencies] -anyio = ">=3.1.0" -argon2-cffi = ">=21.1" -jinja2 = ">=3.0.3" -jupyter-client = ">=7.4.4" -jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0" -jupyter-events = ">=0.9.0" -jupyter-server-terminals = ">=0.4.4" -nbconvert = ">=6.4.4" -nbformat = ">=5.3.0" -overrides = ">=5.0" -packaging = ">=22.0" -prometheus-client = ">=0.9" -pywinpty = {version = ">=2.0.1", markers = "os_name == \"nt\""} -pyzmq = ">=24" -send2trash = ">=1.8.2" -terminado = ">=0.8.3" -tornado = ">=6.2.0" -traitlets = ">=5.6.0" -websocket-client = ">=1.7" - -[package.extras] -docs = ["ipykernel", "jinja2", "jupyter-client", "myst-parser", "nbformat", "prometheus-client", "pydata-sphinx-theme", "send2trash", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-openapi (>=0.8.0)", "sphinxcontrib-spelling", "sphinxemoji", "tornado", "typing-extensions"] -test = ["flaky", "ipykernel", "pre-commit", "pytest (>=7.0,<9)", "pytest-console-scripts", "pytest-jupyter[server] (>=0.7)", "pytest-timeout", "requests"] - -[[package]] -name = "jupyter-server-terminals" -version = "0.5.3" -description = "A Jupyter Server Extension Providing Terminals." -optional = false -python-versions = ">=3.8" -files = [ - {file = "jupyter_server_terminals-0.5.3-py3-none-any.whl", hash = "sha256:41ee0d7dc0ebf2809c668e0fc726dfaf258fcd3e769568996ca731b6194ae9aa"}, - {file = "jupyter_server_terminals-0.5.3.tar.gz", hash = "sha256:5ae0295167220e9ace0edcfdb212afd2b01ee8d179fe6f23c899590e9b8a5269"}, -] - -[package.dependencies] -pywinpty = {version = ">=2.0.3", markers = "os_name == \"nt\""} -terminado = ">=0.8.3" - -[package.extras] -docs = ["jinja2", "jupyter-server", "mistune (<4.0)", "myst-parser", "nbformat", "packaging", "pydata-sphinx-theme", "sphinxcontrib-github-alt", "sphinxcontrib-openapi", "sphinxcontrib-spelling", "sphinxemoji", "tornado"] -test = ["jupyter-server (>=2.0.0)", "pytest (>=7.0)", "pytest-jupyter[server] (>=0.5.3)", "pytest-timeout"] - -[[package]] -name = "jupyterlab" -version = "4.2.5" -description = "JupyterLab computational environment" -optional = false -python-versions = ">=3.8" -files = [ - {file = "jupyterlab-4.2.5-py3-none-any.whl", hash = "sha256:73b6e0775d41a9fee7ee756c80f58a6bed4040869ccc21411dc559818874d321"}, - {file = "jupyterlab-4.2.5.tar.gz", hash = "sha256:ae7f3a1b8cb88b4f55009ce79fa7c06f99d70cd63601ee4aa91815d054f46f75"}, -] - -[package.dependencies] -async-lru = ">=1.0.0" -httpx = ">=0.25.0" -ipykernel = ">=6.5.0" -jinja2 = ">=3.0.3" -jupyter-core = "*" -jupyter-lsp = ">=2.0.0" -jupyter-server = ">=2.4.0,<3" -jupyterlab-server = ">=2.27.1,<3" -notebook-shim = ">=0.2" -packaging = "*" -setuptools = ">=40.1.0" -tornado = ">=6.2.0" -traitlets = "*" - -[package.extras] -dev = ["build", "bump2version", "coverage", "hatch", "pre-commit", "pytest-cov", "ruff (==0.3.5)"] -docs = ["jsx-lexer", "myst-parser", "pydata-sphinx-theme (>=0.13.0)", "pytest", "pytest-check-links", "pytest-jupyter", "sphinx (>=1.8,<7.3.0)", "sphinx-copybutton"] -docs-screenshots = ["altair (==5.3.0)", "ipython (==8.16.1)", "ipywidgets (==8.1.2)", "jupyterlab-geojson (==3.4.0)", "jupyterlab-language-pack-zh-cn (==4.1.post2)", "matplotlib (==3.8.3)", "nbconvert (>=7.0.0)", "pandas (==2.2.1)", "scipy (==1.12.0)", "vega-datasets (==0.9.0)"] -test = ["coverage", "pytest (>=7.0)", "pytest-check-links (>=0.7)", "pytest-console-scripts", "pytest-cov", "pytest-jupyter (>=0.5.3)", "pytest-timeout", "pytest-tornasync", "requests", "requests-cache", "virtualenv"] -upgrade-extension = ["copier (>=9,<10)", "jinja2-time (<0.3)", "pydantic (<3.0)", "pyyaml-include (<3.0)", "tomli-w (<2.0)"] - -[[package]] -name = "jupyterlab-pygments" -version = "0.3.0" -description = "Pygments theme using JupyterLab CSS variables" -optional = false -python-versions = ">=3.8" -files = [ - {file = "jupyterlab_pygments-0.3.0-py3-none-any.whl", hash = "sha256:841a89020971da1d8693f1a99997aefc5dc424bb1b251fd6322462a1b8842780"}, - {file = "jupyterlab_pygments-0.3.0.tar.gz", hash = "sha256:721aca4d9029252b11cfa9d185e5b5af4d54772bb8072f9b7036f4170054d35d"}, -] - -[[package]] -name = "jupyterlab-server" -version = "2.27.3" -description = "A set of server components for JupyterLab and JupyterLab like applications." -optional = false -python-versions = ">=3.8" -files = [ - {file = "jupyterlab_server-2.27.3-py3-none-any.whl", hash = "sha256:e697488f66c3db49df675158a77b3b017520d772c6e1548c7d9bcc5df7944ee4"}, - {file = "jupyterlab_server-2.27.3.tar.gz", hash = "sha256:eb36caca59e74471988f0ae25c77945610b887f777255aa21f8065def9e51ed4"}, -] - -[package.dependencies] -babel = ">=2.10" -jinja2 = ">=3.0.3" -json5 = ">=0.9.0" -jsonschema = ">=4.18.0" -jupyter-server = ">=1.21,<3" -packaging = ">=21.3" -requests = ">=2.31" - -[package.extras] -docs = ["autodoc-traits", "jinja2 (<3.2.0)", "mistune (<4)", "myst-parser", "pydata-sphinx-theme", "sphinx", "sphinx-copybutton", "sphinxcontrib-openapi (>0.8)"] -openapi = ["openapi-core (>=0.18.0,<0.19.0)", "ruamel-yaml"] -test = ["hatch", "ipykernel", "openapi-core (>=0.18.0,<0.19.0)", "openapi-spec-validator (>=0.6.0,<0.8.0)", "pytest (>=7.0,<8)", "pytest-console-scripts", "pytest-cov", "pytest-jupyter[server] (>=0.6.2)", "pytest-timeout", "requests-mock", "ruamel-yaml", "sphinxcontrib-spelling", "strict-rfc3339", "werkzeug"] - -[[package]] -name = "jupyterlab-widgets" -version = "3.0.13" -description = "Jupyter interactive widgets for JupyterLab" -optional = false -python-versions = ">=3.7" -files = [ - {file = "jupyterlab_widgets-3.0.13-py3-none-any.whl", hash = "sha256:e3cda2c233ce144192f1e29914ad522b2f4c40e77214b0cc97377ca3d323db54"}, - {file = "jupyterlab_widgets-3.0.13.tar.gz", hash = "sha256:a2966d385328c1942b683a8cd96b89b8dd82c8b8f81dda902bb2bc06d46f5bed"}, -] - -[[package]] -name = "kiwisolver" -version = "1.4.5" -description = "A fast implementation of the Cassowary constraint solver" -optional = false -python-versions = ">=3.7" -files = [ - {file = "kiwisolver-1.4.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:05703cf211d585109fcd72207a31bb170a0f22144d68298dc5e61b3c946518af"}, - {file = "kiwisolver-1.4.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:146d14bebb7f1dc4d5fbf74f8a6cb15ac42baadee8912eb84ac0b3b2a3dc6ac3"}, - {file = "kiwisolver-1.4.5-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:6ef7afcd2d281494c0a9101d5c571970708ad911d028137cd558f02b851c08b4"}, - {file = "kiwisolver-1.4.5-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:9eaa8b117dc8337728e834b9c6e2611f10c79e38f65157c4c38e9400286f5cb1"}, - {file = "kiwisolver-1.4.5-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:ec20916e7b4cbfb1f12380e46486ec4bcbaa91a9c448b97023fde0d5bbf9e4ff"}, - {file = "kiwisolver-1.4.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:39b42c68602539407884cf70d6a480a469b93b81b7701378ba5e2328660c847a"}, - {file = "kiwisolver-1.4.5-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:aa12042de0171fad672b6c59df69106d20d5596e4f87b5e8f76df757a7c399aa"}, - {file = "kiwisolver-1.4.5-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2a40773c71d7ccdd3798f6489aaac9eee213d566850a9533f8d26332d626b82c"}, - {file = "kiwisolver-1.4.5-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:19df6e621f6d8b4b9c4d45f40a66839294ff2bb235e64d2178f7522d9170ac5b"}, - {file = "kiwisolver-1.4.5-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:83d78376d0d4fd884e2c114d0621624b73d2aba4e2788182d286309ebdeed770"}, - {file = "kiwisolver-1.4.5-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:e391b1f0a8a5a10ab3b9bb6afcfd74f2175f24f8975fb87ecae700d1503cdee0"}, - {file = "kiwisolver-1.4.5-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:852542f9481f4a62dbb5dd99e8ab7aedfeb8fb6342349a181d4036877410f525"}, - {file = "kiwisolver-1.4.5-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:59edc41b24031bc25108e210c0def6f6c2191210492a972d585a06ff246bb79b"}, - {file = "kiwisolver-1.4.5-cp310-cp310-win32.whl", hash = "sha256:a6aa6315319a052b4ee378aa171959c898a6183f15c1e541821c5c59beaa0238"}, - {file = "kiwisolver-1.4.5-cp310-cp310-win_amd64.whl", hash = "sha256:d0ef46024e6a3d79c01ff13801cb19d0cad7fd859b15037aec74315540acc276"}, - {file = "kiwisolver-1.4.5-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:11863aa14a51fd6ec28688d76f1735f8f69ab1fabf388851a595d0721af042f5"}, - {file = "kiwisolver-1.4.5-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:8ab3919a9997ab7ef2fbbed0cc99bb28d3c13e6d4b1ad36e97e482558a91be90"}, - {file = "kiwisolver-1.4.5-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:fcc700eadbbccbf6bc1bcb9dbe0786b4b1cb91ca0dcda336eef5c2beed37b797"}, - {file = "kiwisolver-1.4.5-cp311-cp311-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:dfdd7c0b105af050eb3d64997809dc21da247cf44e63dc73ff0fd20b96be55a9"}, - {file = "kiwisolver-1.4.5-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:76c6a5964640638cdeaa0c359382e5703e9293030fe730018ca06bc2010c4437"}, - {file = "kiwisolver-1.4.5-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:bbea0db94288e29afcc4c28afbf3a7ccaf2d7e027489c449cf7e8f83c6346eb9"}, - {file = "kiwisolver-1.4.5-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:ceec1a6bc6cab1d6ff5d06592a91a692f90ec7505d6463a88a52cc0eb58545da"}, - {file = "kiwisolver-1.4.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:040c1aebeda72197ef477a906782b5ab0d387642e93bda547336b8957c61022e"}, - {file = "kiwisolver-1.4.5-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:f91de7223d4c7b793867797bacd1ee53bfe7359bd70d27b7b58a04efbb9436c8"}, - {file = "kiwisolver-1.4.5-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:faae4860798c31530dd184046a900e652c95513796ef51a12bc086710c2eec4d"}, - {file = "kiwisolver-1.4.5-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:b0157420efcb803e71d1b28e2c287518b8808b7cf1ab8af36718fd0a2c453eb0"}, - {file = "kiwisolver-1.4.5-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:06f54715b7737c2fecdbf140d1afb11a33d59508a47bf11bb38ecf21dc9ab79f"}, - {file = "kiwisolver-1.4.5-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:fdb7adb641a0d13bdcd4ef48e062363d8a9ad4a182ac7647ec88f695e719ae9f"}, - {file = "kiwisolver-1.4.5-cp311-cp311-win32.whl", hash = "sha256:bb86433b1cfe686da83ce32a9d3a8dd308e85c76b60896d58f082136f10bffac"}, - {file = "kiwisolver-1.4.5-cp311-cp311-win_amd64.whl", hash = "sha256:6c08e1312a9cf1074d17b17728d3dfce2a5125b2d791527f33ffbe805200a355"}, - {file = "kiwisolver-1.4.5-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:32d5cf40c4f7c7b3ca500f8985eb3fb3a7dfc023215e876f207956b5ea26632a"}, - {file = "kiwisolver-1.4.5-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:f846c260f483d1fd217fe5ed7c173fb109efa6b1fc8381c8b7552c5781756192"}, - {file = "kiwisolver-1.4.5-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:5ff5cf3571589b6d13bfbfd6bcd7a3f659e42f96b5fd1c4830c4cf21d4f5ef45"}, - {file = "kiwisolver-1.4.5-cp312-cp312-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7269d9e5f1084a653d575c7ec012ff57f0c042258bf5db0954bf551c158466e7"}, - {file = "kiwisolver-1.4.5-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:da802a19d6e15dffe4b0c24b38b3af68e6c1a68e6e1d8f30148c83864f3881db"}, - {file = "kiwisolver-1.4.5-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3aba7311af82e335dd1e36ffff68aaca609ca6290c2cb6d821a39aa075d8e3ff"}, - {file = "kiwisolver-1.4.5-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:763773d53f07244148ccac5b084da5adb90bfaee39c197554f01b286cf869228"}, - {file = "kiwisolver-1.4.5-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2270953c0d8cdab5d422bee7d2007f043473f9d2999631c86a223c9db56cbd16"}, - {file = "kiwisolver-1.4.5-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:d099e745a512f7e3bbe7249ca835f4d357c586d78d79ae8f1dcd4d8adeb9bda9"}, - {file = "kiwisolver-1.4.5-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:74db36e14a7d1ce0986fa104f7d5637aea5c82ca6326ed0ec5694280942d1162"}, - {file = "kiwisolver-1.4.5-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:7e5bab140c309cb3a6ce373a9e71eb7e4873c70c2dda01df6820474f9889d6d4"}, - {file = "kiwisolver-1.4.5-cp312-cp312-musllinux_1_1_s390x.whl", hash = "sha256:0f114aa76dc1b8f636d077979c0ac22e7cd8f3493abbab152f20eb8d3cda71f3"}, - {file = "kiwisolver-1.4.5-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:88a2df29d4724b9237fc0c6eaf2a1adae0cdc0b3e9f4d8e7dc54b16812d2d81a"}, - {file = "kiwisolver-1.4.5-cp312-cp312-win32.whl", hash = "sha256:72d40b33e834371fd330fb1472ca19d9b8327acb79a5821d4008391db8e29f20"}, - {file = "kiwisolver-1.4.5-cp312-cp312-win_amd64.whl", hash = "sha256:2c5674c4e74d939b9d91dda0fae10597ac7521768fec9e399c70a1f27e2ea2d9"}, - {file = "kiwisolver-1.4.5-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:3a2b053a0ab7a3960c98725cfb0bf5b48ba82f64ec95fe06f1d06c99b552e130"}, - {file = "kiwisolver-1.4.5-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3cd32d6c13807e5c66a7cbb79f90b553642f296ae4518a60d8d76243b0ad2898"}, - {file = "kiwisolver-1.4.5-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:59ec7b7c7e1a61061850d53aaf8e93db63dce0c936db1fda2658b70e4a1be709"}, - {file = "kiwisolver-1.4.5-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:da4cfb373035def307905d05041c1d06d8936452fe89d464743ae7fb8371078b"}, - {file = "kiwisolver-1.4.5-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:2400873bccc260b6ae184b2b8a4fec0e4082d30648eadb7c3d9a13405d861e89"}, - {file = "kiwisolver-1.4.5-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:1b04139c4236a0f3aff534479b58f6f849a8b351e1314826c2d230849ed48985"}, - {file = "kiwisolver-1.4.5-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:4e66e81a5779b65ac21764c295087de82235597a2293d18d943f8e9e32746265"}, - {file = "kiwisolver-1.4.5-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:7931d8f1f67c4be9ba1dd9c451fb0eeca1a25b89e4d3f89e828fe12a519b782a"}, - {file = "kiwisolver-1.4.5-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:b3f7e75f3015df442238cca659f8baa5f42ce2a8582727981cbfa15fee0ee205"}, - {file = "kiwisolver-1.4.5-cp37-cp37m-musllinux_1_1_s390x.whl", hash = "sha256:bbf1d63eef84b2e8c89011b7f2235b1e0bf7dacc11cac9431fc6468e99ac77fb"}, - {file = "kiwisolver-1.4.5-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:4c380469bd3f970ef677bf2bcba2b6b0b4d5c75e7a020fb863ef75084efad66f"}, - {file = "kiwisolver-1.4.5-cp37-cp37m-win32.whl", hash = "sha256:9408acf3270c4b6baad483865191e3e582b638b1654a007c62e3efe96f09a9a3"}, - {file = "kiwisolver-1.4.5-cp37-cp37m-win_amd64.whl", hash = "sha256:5b94529f9b2591b7af5f3e0e730a4e0a41ea174af35a4fd067775f9bdfeee01a"}, - {file = "kiwisolver-1.4.5-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:11c7de8f692fc99816e8ac50d1d1aef4f75126eefc33ac79aac02c099fd3db71"}, - {file = "kiwisolver-1.4.5-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:53abb58632235cd154176ced1ae8f0d29a6657aa1aa9decf50b899b755bc2b93"}, - {file = "kiwisolver-1.4.5-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:88b9f257ca61b838b6f8094a62418421f87ac2a1069f7e896c36a7d86b5d4c29"}, - {file = "kiwisolver-1.4.5-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3195782b26fc03aa9c6913d5bad5aeb864bdc372924c093b0f1cebad603dd712"}, - {file = "kiwisolver-1.4.5-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:fc579bf0f502e54926519451b920e875f433aceb4624a3646b3252b5caa9e0b6"}, - {file = "kiwisolver-1.4.5-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5a580c91d686376f0f7c295357595c5a026e6cbc3d77b7c36e290201e7c11ecb"}, - {file = "kiwisolver-1.4.5-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:cfe6ab8da05c01ba6fbea630377b5da2cd9bcbc6338510116b01c1bc939a2c18"}, - {file = "kiwisolver-1.4.5-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:d2e5a98f0ec99beb3c10e13b387f8db39106d53993f498b295f0c914328b1333"}, - {file = "kiwisolver-1.4.5-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:a51a263952b1429e429ff236d2f5a21c5125437861baeed77f5e1cc2d2c7c6da"}, - {file = "kiwisolver-1.4.5-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:3edd2fa14e68c9be82c5b16689e8d63d89fe927e56debd6e1dbce7a26a17f81b"}, - {file = "kiwisolver-1.4.5-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:74d1b44c6cfc897df648cc9fdaa09bc3e7679926e6f96df05775d4fb3946571c"}, - {file = "kiwisolver-1.4.5-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:76d9289ed3f7501012e05abb8358bbb129149dbd173f1f57a1bf1c22d19ab7cc"}, - {file = "kiwisolver-1.4.5-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:92dea1ffe3714fa8eb6a314d2b3c773208d865a0e0d35e713ec54eea08a66250"}, - {file = "kiwisolver-1.4.5-cp38-cp38-win32.whl", hash = "sha256:5c90ae8c8d32e472be041e76f9d2f2dbff4d0b0be8bd4041770eddb18cf49a4e"}, - {file = "kiwisolver-1.4.5-cp38-cp38-win_amd64.whl", hash = "sha256:c7940c1dc63eb37a67721b10d703247552416f719c4188c54e04334321351ced"}, - {file = "kiwisolver-1.4.5-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:9407b6a5f0d675e8a827ad8742e1d6b49d9c1a1da5d952a67d50ef5f4170b18d"}, - {file = "kiwisolver-1.4.5-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:15568384086b6df3c65353820a4473575dbad192e35010f622c6ce3eebd57af9"}, - {file = "kiwisolver-1.4.5-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:0dc9db8e79f0036e8173c466d21ef18e1befc02de8bf8aa8dc0813a6dc8a7046"}, - {file = "kiwisolver-1.4.5-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:cdc8a402aaee9a798b50d8b827d7ecf75edc5fb35ea0f91f213ff927c15f4ff0"}, - {file = "kiwisolver-1.4.5-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:6c3bd3cde54cafb87d74d8db50b909705c62b17c2099b8f2e25b461882e544ff"}, - {file = "kiwisolver-1.4.5-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:955e8513d07a283056b1396e9a57ceddbd272d9252c14f154d450d227606eb54"}, - {file = "kiwisolver-1.4.5-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:346f5343b9e3f00b8db8ba359350eb124b98c99efd0b408728ac6ebf38173958"}, - {file = "kiwisolver-1.4.5-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b9098e0049e88c6a24ff64545cdfc50807818ba6c1b739cae221bbbcbc58aad3"}, - {file = "kiwisolver-1.4.5-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:00bd361b903dc4bbf4eb165f24d1acbee754fce22ded24c3d56eec268658a5cf"}, - {file = "kiwisolver-1.4.5-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:7b8b454bac16428b22560d0a1cf0a09875339cab69df61d7805bf48919415901"}, - {file = "kiwisolver-1.4.5-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:f1d072c2eb0ad60d4c183f3fb44ac6f73fb7a8f16a2694a91f988275cbf352f9"}, - {file = "kiwisolver-1.4.5-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:31a82d498054cac9f6d0b53d02bb85811185bcb477d4b60144f915f3b3126342"}, - {file = "kiwisolver-1.4.5-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:6512cb89e334e4700febbffaaa52761b65b4f5a3cf33f960213d5656cea36a77"}, - {file = "kiwisolver-1.4.5-cp39-cp39-win32.whl", hash = "sha256:9db8ea4c388fdb0f780fe91346fd438657ea602d58348753d9fb265ce1bca67f"}, - {file = "kiwisolver-1.4.5-cp39-cp39-win_amd64.whl", hash = "sha256:59415f46a37f7f2efeec758353dd2eae1b07640d8ca0f0c42548ec4125492635"}, - {file = "kiwisolver-1.4.5-pp37-pypy37_pp73-macosx_10_9_x86_64.whl", hash = "sha256:5c7b3b3a728dc6faf3fc372ef24f21d1e3cee2ac3e9596691d746e5a536de920"}, - {file = "kiwisolver-1.4.5-pp37-pypy37_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:620ced262a86244e2be10a676b646f29c34537d0d9cc8eb26c08f53d98013390"}, - {file = "kiwisolver-1.4.5-pp37-pypy37_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:378a214a1e3bbf5ac4a8708304318b4f890da88c9e6a07699c4ae7174c09a68d"}, - {file = "kiwisolver-1.4.5-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:aaf7be1207676ac608a50cd08f102f6742dbfc70e8d60c4db1c6897f62f71523"}, - {file = "kiwisolver-1.4.5-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:ba55dce0a9b8ff59495ddd050a0225d58bd0983d09f87cfe2b6aec4f2c1234e4"}, - {file = "kiwisolver-1.4.5-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:fd32ea360bcbb92d28933fc05ed09bffcb1704ba3fc7942e81db0fd4f81a7892"}, - {file = "kiwisolver-1.4.5-pp38-pypy38_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:5e7139af55d1688f8b960ee9ad5adafc4ac17c1c473fe07133ac092310d76544"}, - {file = "kiwisolver-1.4.5-pp38-pypy38_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:dced8146011d2bc2e883f9bd68618b8247387f4bbec46d7392b3c3b032640126"}, - {file = "kiwisolver-1.4.5-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c9bf3325c47b11b2e51bca0824ea217c7cd84491d8ac4eefd1e409705ef092bd"}, - {file = "kiwisolver-1.4.5-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:5794cf59533bc3f1b1c821f7206a3617999db9fbefc345360aafe2e067514929"}, - {file = "kiwisolver-1.4.5-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:e368f200bbc2e4f905b8e71eb38b3c04333bddaa6a2464a6355487b02bb7fb09"}, - {file = "kiwisolver-1.4.5-pp39-pypy39_pp73-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e5d706eba36b4c4d5bc6c6377bb6568098765e990cfc21ee16d13963fab7b3e7"}, - {file = "kiwisolver-1.4.5-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:85267bd1aa8880a9c88a8cb71e18d3d64d2751a790e6ca6c27b8ccc724bcd5ad"}, - {file = "kiwisolver-1.4.5-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:210ef2c3a1f03272649aff1ef992df2e724748918c4bc2d5a90352849eb40bea"}, - {file = "kiwisolver-1.4.5-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:11d011a7574eb3b82bcc9c1a1d35c1d7075677fdd15de527d91b46bd35e935ee"}, - {file = "kiwisolver-1.4.5.tar.gz", hash = "sha256:e57e563a57fb22a142da34f38acc2fc1a5c864bc29ca1517a88abc963e60d6ec"}, -] - -[[package]] -name = "markupsafe" -version = "2.1.5" -description = "Safely add untrusted strings to HTML/XML markup." -optional = false -python-versions = ">=3.7" -files = [ - {file = "MarkupSafe-2.1.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:a17a92de5231666cfbe003f0e4b9b3a7ae3afb1ec2845aadc2bacc93ff85febc"}, - {file = "MarkupSafe-2.1.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:72b6be590cc35924b02c78ef34b467da4ba07e4e0f0454a2c5907f473fc50ce5"}, - {file = "MarkupSafe-2.1.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e61659ba32cf2cf1481e575d0462554625196a1f2fc06a1c777d3f48e8865d46"}, - {file = "MarkupSafe-2.1.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2174c595a0d73a3080ca3257b40096db99799265e1c27cc5a610743acd86d62f"}, - {file = "MarkupSafe-2.1.5-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ae2ad8ae6ebee9d2d94b17fb62763125f3f374c25618198f40cbb8b525411900"}, - {file = "MarkupSafe-2.1.5-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:075202fa5b72c86ad32dc7d0b56024ebdbcf2048c0ba09f1cde31bfdd57bcfff"}, - {file = "MarkupSafe-2.1.5-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:598e3276b64aff0e7b3451b72e94fa3c238d452e7ddcd893c3ab324717456bad"}, - {file = "MarkupSafe-2.1.5-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:fce659a462a1be54d2ffcacea5e3ba2d74daa74f30f5f143fe0c58636e355fdd"}, - {file = "MarkupSafe-2.1.5-cp310-cp310-win32.whl", hash = "sha256:d9fad5155d72433c921b782e58892377c44bd6252b5af2f67f16b194987338a4"}, - {file = "MarkupSafe-2.1.5-cp310-cp310-win_amd64.whl", hash = "sha256:bf50cd79a75d181c9181df03572cdce0fbb75cc353bc350712073108cba98de5"}, - {file = "MarkupSafe-2.1.5-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:629ddd2ca402ae6dbedfceeba9c46d5f7b2a61d9749597d4307f943ef198fc1f"}, - {file = "MarkupSafe-2.1.5-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:5b7b716f97b52c5a14bffdf688f971b2d5ef4029127f1ad7a513973cfd818df2"}, - {file = "MarkupSafe-2.1.5-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6ec585f69cec0aa07d945b20805be741395e28ac1627333b1c5b0105962ffced"}, - {file = "MarkupSafe-2.1.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b91c037585eba9095565a3556f611e3cbfaa42ca1e865f7b8015fe5c7336d5a5"}, - {file = "MarkupSafe-2.1.5-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7502934a33b54030eaf1194c21c692a534196063db72176b0c4028e140f8f32c"}, - {file = "MarkupSafe-2.1.5-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:0e397ac966fdf721b2c528cf028494e86172b4feba51d65f81ffd65c63798f3f"}, - {file = "MarkupSafe-2.1.5-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:c061bb86a71b42465156a3ee7bd58c8c2ceacdbeb95d05a99893e08b8467359a"}, - {file = "MarkupSafe-2.1.5-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:3a57fdd7ce31c7ff06cdfbf31dafa96cc533c21e443d57f5b1ecc6cdc668ec7f"}, - {file = "MarkupSafe-2.1.5-cp311-cp311-win32.whl", hash = "sha256:397081c1a0bfb5124355710fe79478cdbeb39626492b15d399526ae53422b906"}, - {file = "MarkupSafe-2.1.5-cp311-cp311-win_amd64.whl", hash = "sha256:2b7c57a4dfc4f16f7142221afe5ba4e093e09e728ca65c51f5620c9aaeb9a617"}, - {file = "MarkupSafe-2.1.5-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:8dec4936e9c3100156f8a2dc89c4b88d5c435175ff03413b443469c7c8c5f4d1"}, - {file = "MarkupSafe-2.1.5-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:3c6b973f22eb18a789b1460b4b91bf04ae3f0c4234a0a6aa6b0a92f6f7b951d4"}, - {file = "MarkupSafe-2.1.5-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ac07bad82163452a6884fe8fa0963fb98c2346ba78d779ec06bd7a6262132aee"}, - {file = "MarkupSafe-2.1.5-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f5dfb42c4604dddc8e4305050aa6deb084540643ed5804d7455b5df8fe16f5e5"}, - {file = "MarkupSafe-2.1.5-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ea3d8a3d18833cf4304cd2fc9cbb1efe188ca9b5efef2bdac7adc20594a0e46b"}, - {file = "MarkupSafe-2.1.5-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:d050b3361367a06d752db6ead6e7edeb0009be66bc3bae0ee9d97fb326badc2a"}, - {file = "MarkupSafe-2.1.5-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:bec0a414d016ac1a18862a519e54b2fd0fc8bbfd6890376898a6c0891dd82e9f"}, - {file = "MarkupSafe-2.1.5-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:58c98fee265677f63a4385256a6d7683ab1832f3ddd1e66fe948d5880c21a169"}, - {file = "MarkupSafe-2.1.5-cp312-cp312-win32.whl", hash = "sha256:8590b4ae07a35970728874632fed7bd57b26b0102df2d2b233b6d9d82f6c62ad"}, - {file = "MarkupSafe-2.1.5-cp312-cp312-win_amd64.whl", hash = "sha256:823b65d8706e32ad2df51ed89496147a42a2a6e01c13cfb6ffb8b1e92bc910bb"}, - {file = "MarkupSafe-2.1.5-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:c8b29db45f8fe46ad280a7294f5c3ec36dbac9491f2d1c17345be8e69cc5928f"}, - {file = "MarkupSafe-2.1.5-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ec6a563cff360b50eed26f13adc43e61bc0c04d94b8be985e6fb24b81f6dcfdf"}, - {file = "MarkupSafe-2.1.5-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a549b9c31bec33820e885335b451286e2969a2d9e24879f83fe904a5ce59d70a"}, - {file = "MarkupSafe-2.1.5-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4f11aa001c540f62c6166c7726f71f7573b52c68c31f014c25cc7901deea0b52"}, - {file = "MarkupSafe-2.1.5-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:7b2e5a267c855eea6b4283940daa6e88a285f5f2a67f2220203786dfa59b37e9"}, - {file = "MarkupSafe-2.1.5-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:2d2d793e36e230fd32babe143b04cec8a8b3eb8a3122d2aceb4a371e6b09b8df"}, - {file = "MarkupSafe-2.1.5-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:ce409136744f6521e39fd8e2a24c53fa18ad67aa5bc7c2cf83645cce5b5c4e50"}, - {file = "MarkupSafe-2.1.5-cp37-cp37m-win32.whl", hash = "sha256:4096e9de5c6fdf43fb4f04c26fb114f61ef0bf2e5604b6ee3019d51b69e8c371"}, - {file = "MarkupSafe-2.1.5-cp37-cp37m-win_amd64.whl", hash = "sha256:4275d846e41ecefa46e2015117a9f491e57a71ddd59bbead77e904dc02b1bed2"}, - {file = "MarkupSafe-2.1.5-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:656f7526c69fac7f600bd1f400991cc282b417d17539a1b228617081106feb4a"}, - {file = "MarkupSafe-2.1.5-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:97cafb1f3cbcd3fd2b6fbfb99ae11cdb14deea0736fc2b0952ee177f2b813a46"}, - {file = "MarkupSafe-2.1.5-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1f3fbcb7ef1f16e48246f704ab79d79da8a46891e2da03f8783a5b6fa41a9532"}, - {file = "MarkupSafe-2.1.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fa9db3f79de01457b03d4f01b34cf91bc0048eb2c3846ff26f66687c2f6d16ab"}, - {file = "MarkupSafe-2.1.5-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ffee1f21e5ef0d712f9033568f8344d5da8cc2869dbd08d87c84656e6a2d2f68"}, - {file = "MarkupSafe-2.1.5-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:5dedb4db619ba5a2787a94d877bc8ffc0566f92a01c0ef214865e54ecc9ee5e0"}, - {file = "MarkupSafe-2.1.5-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:30b600cf0a7ac9234b2638fbc0fb6158ba5bdcdf46aeb631ead21248b9affbc4"}, - {file = "MarkupSafe-2.1.5-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:8dd717634f5a044f860435c1d8c16a270ddf0ef8588d4887037c5028b859b0c3"}, - {file = "MarkupSafe-2.1.5-cp38-cp38-win32.whl", hash = "sha256:daa4ee5a243f0f20d528d939d06670a298dd39b1ad5f8a72a4275124a7819eff"}, - {file = "MarkupSafe-2.1.5-cp38-cp38-win_amd64.whl", hash = "sha256:619bc166c4f2de5caa5a633b8b7326fbe98e0ccbfacabd87268a2b15ff73a029"}, - {file = "MarkupSafe-2.1.5-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:7a68b554d356a91cce1236aa7682dc01df0edba8d043fd1ce607c49dd3c1edcf"}, - {file = "MarkupSafe-2.1.5-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:db0b55e0f3cc0be60c1f19efdde9a637c32740486004f20d1cff53c3c0ece4d2"}, - {file = "MarkupSafe-2.1.5-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3e53af139f8579a6d5f7b76549125f0d94d7e630761a2111bc431fd820e163b8"}, - {file = "MarkupSafe-2.1.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:17b950fccb810b3293638215058e432159d2b71005c74371d784862b7e4683f3"}, - {file = "MarkupSafe-2.1.5-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4c31f53cdae6ecfa91a77820e8b151dba54ab528ba65dfd235c80b086d68a465"}, - {file = "MarkupSafe-2.1.5-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:bff1b4290a66b490a2f4719358c0cdcd9bafb6b8f061e45c7a2460866bf50c2e"}, - {file = "MarkupSafe-2.1.5-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:bc1667f8b83f48511b94671e0e441401371dfd0f0a795c7daa4a3cd1dde55bea"}, - {file = "MarkupSafe-2.1.5-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:5049256f536511ee3f7e1b3f87d1d1209d327e818e6ae1365e8653d7e3abb6a6"}, - {file = "MarkupSafe-2.1.5-cp39-cp39-win32.whl", hash = "sha256:00e046b6dd71aa03a41079792f8473dc494d564611a8f89bbbd7cb93295ebdcf"}, - {file = "MarkupSafe-2.1.5-cp39-cp39-win_amd64.whl", hash = "sha256:fa173ec60341d6bb97a89f5ea19c85c5643c1e7dedebc22f5181eb73573142c5"}, - {file = "MarkupSafe-2.1.5.tar.gz", hash = "sha256:d283d37a890ba4c1ae73ffadf8046435c76e7bc2247bbb63c00bd1a709c6544b"}, -] - -[[package]] -name = "matplotlib" -version = "3.9.2" -description = "Python plotting package" -optional = false -python-versions = ">=3.9" -files = [ - {file = "matplotlib-3.9.2-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:9d78bbc0cbc891ad55b4f39a48c22182e9bdaea7fc0e5dbd364f49f729ca1bbb"}, - {file = "matplotlib-3.9.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c375cc72229614632c87355366bdf2570c2dac01ac66b8ad048d2dabadf2d0d4"}, - {file = "matplotlib-3.9.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1d94ff717eb2bd0b58fe66380bd8b14ac35f48a98e7c6765117fe67fb7684e64"}, - {file = "matplotlib-3.9.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ab68d50c06938ef28681073327795c5db99bb4666214d2d5f880ed11aeaded66"}, - {file = "matplotlib-3.9.2-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:65aacf95b62272d568044531e41de26285d54aec8cb859031f511f84bd8b495a"}, - {file = "matplotlib-3.9.2-cp310-cp310-win_amd64.whl", hash = "sha256:3fd595f34aa8a55b7fc8bf9ebea8aa665a84c82d275190a61118d33fbc82ccae"}, - {file = "matplotlib-3.9.2-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:d8dd059447824eec055e829258ab092b56bb0579fc3164fa09c64f3acd478772"}, - {file = "matplotlib-3.9.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:c797dac8bb9c7a3fd3382b16fe8f215b4cf0f22adccea36f1545a6d7be310b41"}, - {file = "matplotlib-3.9.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d719465db13267bcef19ea8954a971db03b9f48b4647e3860e4bc8e6ed86610f"}, - {file = "matplotlib-3.9.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8912ef7c2362f7193b5819d17dae8629b34a95c58603d781329712ada83f9447"}, - {file = "matplotlib-3.9.2-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:7741f26a58a240f43bee74965c4882b6c93df3e7eb3de160126d8c8f53a6ae6e"}, - {file = "matplotlib-3.9.2-cp311-cp311-win_amd64.whl", hash = "sha256:ae82a14dab96fbfad7965403c643cafe6515e386de723e498cf3eeb1e0b70cc7"}, - {file = "matplotlib-3.9.2-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:ac43031375a65c3196bee99f6001e7fa5bdfb00ddf43379d3c0609bdca042df9"}, - {file = "matplotlib-3.9.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:be0fc24a5e4531ae4d8e858a1a548c1fe33b176bb13eff7f9d0d38ce5112a27d"}, - {file = "matplotlib-3.9.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bf81de2926c2db243c9b2cbc3917619a0fc85796c6ba4e58f541df814bbf83c7"}, - {file = "matplotlib-3.9.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f6ee45bc4245533111ced13f1f2cace1e7f89d1c793390392a80c139d6cf0e6c"}, - {file = "matplotlib-3.9.2-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:306c8dfc73239f0e72ac50e5a9cf19cc4e8e331dd0c54f5e69ca8758550f1e1e"}, - {file = "matplotlib-3.9.2-cp312-cp312-win_amd64.whl", hash = "sha256:5413401594cfaff0052f9d8b1aafc6d305b4bd7c4331dccd18f561ff7e1d3bd3"}, - {file = "matplotlib-3.9.2-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:18128cc08f0d3cfff10b76baa2f296fc28c4607368a8402de61bb3f2eb33c7d9"}, - {file = "matplotlib-3.9.2-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:4876d7d40219e8ae8bb70f9263bcbe5714415acfdf781086601211335e24f8aa"}, - {file = "matplotlib-3.9.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6d9f07a80deab4bb0b82858a9e9ad53d1382fd122be8cde11080f4e7dfedb38b"}, - {file = "matplotlib-3.9.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f7c0410f181a531ec4e93bbc27692f2c71a15c2da16766f5ba9761e7ae518413"}, - {file = "matplotlib-3.9.2-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:909645cce2dc28b735674ce0931a4ac94e12f5b13f6bb0b5a5e65e7cea2c192b"}, - {file = "matplotlib-3.9.2-cp313-cp313-win_amd64.whl", hash = "sha256:f32c7410c7f246838a77d6d1eff0c0f87f3cb0e7c4247aebea71a6d5a68cab49"}, - {file = "matplotlib-3.9.2-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:37e51dd1c2db16ede9cfd7b5cabdfc818b2c6397c83f8b10e0e797501c963a03"}, - {file = "matplotlib-3.9.2-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:b82c5045cebcecd8496a4d694d43f9cc84aeeb49fe2133e036b207abe73f4d30"}, - {file = "matplotlib-3.9.2-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f053c40f94bc51bc03832a41b4f153d83f2062d88c72b5e79997072594e97e51"}, - {file = "matplotlib-3.9.2-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dbe196377a8248972f5cede786d4c5508ed5f5ca4a1e09b44bda889958b33f8c"}, - {file = "matplotlib-3.9.2-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:5816b1e1fe8c192cbc013f8f3e3368ac56fbecf02fb41b8f8559303f24c5015e"}, - {file = "matplotlib-3.9.2-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:cef2a73d06601437be399908cf13aee74e86932a5ccc6ccdf173408ebc5f6bb2"}, - {file = "matplotlib-3.9.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:e0830e188029c14e891fadd99702fd90d317df294c3298aad682739c5533721a"}, - {file = "matplotlib-3.9.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:03ba9c1299c920964e8d3857ba27173b4dbb51ca4bab47ffc2c2ba0eb5e2cbc5"}, - {file = "matplotlib-3.9.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1cd93b91ab47a3616b4d3c42b52f8363b88ca021e340804c6ab2536344fad9ca"}, - {file = "matplotlib-3.9.2-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:6d1ce5ed2aefcdce11904fc5bbea7d9c21fff3d5f543841edf3dea84451a09ea"}, - {file = "matplotlib-3.9.2-cp39-cp39-win_amd64.whl", hash = "sha256:b2696efdc08648536efd4e1601b5fd491fd47f4db97a5fbfd175549a7365c1b2"}, - {file = "matplotlib-3.9.2-pp39-pypy39_pp73-macosx_10_15_x86_64.whl", hash = "sha256:d52a3b618cb1cbb769ce2ee1dcdb333c3ab6e823944e9a2d36e37253815f9556"}, - {file = "matplotlib-3.9.2-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:039082812cacd6c6bec8e17a9c1e6baca230d4116d522e81e1f63a74d01d2e21"}, - {file = "matplotlib-3.9.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6758baae2ed64f2331d4fd19be38b7b4eae3ecec210049a26b6a4f3ae1c85dcc"}, - {file = "matplotlib-3.9.2-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:050598c2b29e0b9832cde72bcf97627bf00262adbc4a54e2b856426bb2ef0697"}, - {file = "matplotlib-3.9.2.tar.gz", hash = "sha256:96ab43906269ca64a6366934106fa01534454a69e471b7bf3d79083981aaab92"}, -] - -[package.dependencies] -contourpy = ">=1.0.1" -cycler = ">=0.10" -fonttools = ">=4.22.0" -kiwisolver = ">=1.3.1" -numpy = ">=1.23" -packaging = ">=20.0" -pillow = ">=8" -pyparsing = ">=2.3.1" -python-dateutil = ">=2.7" - -[package.extras] -dev = ["meson-python (>=0.13.1)", "numpy (>=1.25)", "pybind11 (>=2.6)", "setuptools (>=64)", "setuptools_scm (>=7)"] - -[[package]] -name = "matplotlib-inline" -version = "0.1.7" -description = "Inline Matplotlib backend for Jupyter" -optional = false -python-versions = ">=3.8" -files = [ - {file = "matplotlib_inline-0.1.7-py3-none-any.whl", hash = "sha256:df192d39a4ff8f21b1895d72e6a13f5fcc5099f00fa84384e0ea28c2cc0653ca"}, - {file = "matplotlib_inline-0.1.7.tar.gz", hash = "sha256:8423b23ec666be3d16e16b60bdd8ac4e86e840ebd1dd11a30b9f117f2fa0ab90"}, -] - -[package.dependencies] -traitlets = "*" - -[[package]] -name = "mistune" -version = "3.0.2" -description = "A sane and fast Markdown parser with useful plugins and renderers" -optional = false -python-versions = ">=3.7" -files = [ - {file = "mistune-3.0.2-py3-none-any.whl", hash = "sha256:71481854c30fdbc938963d3605b72501f5c10a9320ecd412c121c163a1c7d205"}, - {file = "mistune-3.0.2.tar.gz", hash = "sha256:fc7f93ded930c92394ef2cb6f04a8aabab4117a91449e72dcc8dfa646a508be8"}, -] - -[[package]] -name = "nbclient" -version = "0.10.0" -description = "A client library for executing notebooks. Formerly nbconvert's ExecutePreprocessor." -optional = false -python-versions = ">=3.8.0" -files = [ - {file = "nbclient-0.10.0-py3-none-any.whl", hash = "sha256:f13e3529332a1f1f81d82a53210322476a168bb7090a0289c795fe9cc11c9d3f"}, - {file = "nbclient-0.10.0.tar.gz", hash = "sha256:4b3f1b7dba531e498449c4db4f53da339c91d449dc11e9af3a43b4eb5c5abb09"}, -] - -[package.dependencies] -jupyter-client = ">=6.1.12" -jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0" -nbformat = ">=5.1" -traitlets = ">=5.4" - -[package.extras] -dev = ["pre-commit"] -docs = ["autodoc-traits", "mock", "moto", "myst-parser", "nbclient[test]", "sphinx (>=1.7)", "sphinx-book-theme", "sphinxcontrib-spelling"] -test = ["flaky", "ipykernel (>=6.19.3)", "ipython", "ipywidgets", "nbconvert (>=7.0.0)", "pytest (>=7.0,<8)", "pytest-asyncio", "pytest-cov (>=4.0)", "testpath", "xmltodict"] - -[[package]] -name = "nbconvert" -version = "7.16.4" -description = "Converting Jupyter Notebooks (.ipynb files) to other formats. Output formats include asciidoc, html, latex, markdown, pdf, py, rst, script. nbconvert can be used both as a Python library (`import nbconvert`) or as a command line tool (invoked as `jupyter nbconvert ...`)." -optional = false -python-versions = ">=3.8" -files = [ - {file = "nbconvert-7.16.4-py3-none-any.whl", hash = "sha256:05873c620fe520b6322bf8a5ad562692343fe3452abda5765c7a34b7d1aa3eb3"}, - {file = "nbconvert-7.16.4.tar.gz", hash = "sha256:86ca91ba266b0a448dc96fa6c5b9d98affabde2867b363258703536807f9f7f4"}, -] - -[package.dependencies] -beautifulsoup4 = "*" -bleach = "!=5.0.0" -defusedxml = "*" -jinja2 = ">=3.0" -jupyter-core = ">=4.7" -jupyterlab-pygments = "*" -markupsafe = ">=2.0" -mistune = ">=2.0.3,<4" -nbclient = ">=0.5.0" -nbformat = ">=5.7" -packaging = "*" -pandocfilters = ">=1.4.1" -pygments = ">=2.4.1" -tinycss2 = "*" -traitlets = ">=5.1" - -[package.extras] -all = ["flaky", "ipykernel", "ipython", "ipywidgets (>=7.5)", "myst-parser", "nbsphinx (>=0.2.12)", "playwright", "pydata-sphinx-theme", "pyqtwebengine (>=5.15)", "pytest (>=7)", "sphinx (==5.0.2)", "sphinxcontrib-spelling", "tornado (>=6.1)"] -docs = ["ipykernel", "ipython", "myst-parser", "nbsphinx (>=0.2.12)", "pydata-sphinx-theme", "sphinx (==5.0.2)", "sphinxcontrib-spelling"] -qtpdf = ["pyqtwebengine (>=5.15)"] -qtpng = ["pyqtwebengine (>=5.15)"] -serve = ["tornado (>=6.1)"] -test = ["flaky", "ipykernel", "ipywidgets (>=7.5)", "pytest (>=7)"] -webpdf = ["playwright"] - -[[package]] -name = "nbformat" -version = "5.10.4" -description = "The Jupyter Notebook format" -optional = false -python-versions = ">=3.8" -files = [ - {file = "nbformat-5.10.4-py3-none-any.whl", hash = "sha256:3b48d6c8fbca4b299bf3982ea7db1af21580e4fec269ad087b9e81588891200b"}, - {file = "nbformat-5.10.4.tar.gz", hash = "sha256:322168b14f937a5d11362988ecac2a4952d3d8e3a2cbeb2319584631226d5b3a"}, -] - -[package.dependencies] -fastjsonschema = ">=2.15" -jsonschema = ">=2.6" -jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0" -traitlets = ">=5.1" - -[package.extras] -docs = ["myst-parser", "pydata-sphinx-theme", "sphinx", "sphinxcontrib-github-alt", "sphinxcontrib-spelling"] -test = ["pep440", "pre-commit", "pytest", "testpath"] - -[[package]] -name = "nest-asyncio" -version = "1.6.0" -description = "Patch asyncio to allow nested event loops" -optional = false -python-versions = ">=3.5" -files = [ - {file = "nest_asyncio-1.6.0-py3-none-any.whl", hash = "sha256:87af6efd6b5e897c81050477ef65c62e2b2f35d51703cae01aff2905b1852e1c"}, - {file = "nest_asyncio-1.6.0.tar.gz", hash = "sha256:6f172d5449aca15afd6c646851f4e31e02c598d553a667e38cafa997cfec55fe"}, -] - -[[package]] -name = "notebook" -version = "7.2.2" -description = "Jupyter Notebook - A web-based notebook environment for interactive computing" -optional = false -python-versions = ">=3.8" -files = [ - {file = "notebook-7.2.2-py3-none-any.whl", hash = "sha256:c89264081f671bc02eec0ed470a627ed791b9156cad9285226b31611d3e9fe1c"}, - {file = "notebook-7.2.2.tar.gz", hash = "sha256:2ef07d4220421623ad3fe88118d687bc0450055570cdd160814a59cf3a1c516e"}, -] - -[package.dependencies] -jupyter-server = ">=2.4.0,<3" -jupyterlab = ">=4.2.0,<4.3" -jupyterlab-server = ">=2.27.1,<3" -notebook-shim = ">=0.2,<0.3" -tornado = ">=6.2.0" - -[package.extras] -dev = ["hatch", "pre-commit"] -docs = ["myst-parser", "nbsphinx", "pydata-sphinx-theme", "sphinx (>=1.3.6)", "sphinxcontrib-github-alt", "sphinxcontrib-spelling"] -test = ["importlib-resources (>=5.0)", "ipykernel", "jupyter-server[test] (>=2.4.0,<3)", "jupyterlab-server[test] (>=2.27.1,<3)", "nbval", "pytest (>=7.0)", "pytest-console-scripts", "pytest-timeout", "pytest-tornasync", "requests"] - -[[package]] -name = "notebook-shim" -version = "0.2.4" -description = "A shim layer for notebook traits and config" -optional = false -python-versions = ">=3.7" -files = [ - {file = "notebook_shim-0.2.4-py3-none-any.whl", hash = "sha256:411a5be4e9dc882a074ccbcae671eda64cceb068767e9a3419096986560e1cef"}, - {file = "notebook_shim-0.2.4.tar.gz", hash = "sha256:b4b2cfa1b65d98307ca24361f5b30fe785b53c3fd07b7a47e89acb5e6ac638cb"}, -] - -[package.dependencies] -jupyter-server = ">=1.8,<3" - -[package.extras] -test = ["pytest", "pytest-console-scripts", "pytest-jupyter", "pytest-tornasync"] - -[[package]] -name = "numpy" -version = "2.1.0" -description = "Fundamental package for array computing in Python" -optional = false -python-versions = ">=3.10" -files = [ - {file = "numpy-2.1.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:6326ab99b52fafdcdeccf602d6286191a79fe2fda0ae90573c5814cd2b0bc1b8"}, - {file = "numpy-2.1.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:0937e54c09f7a9a68da6889362ddd2ff584c02d015ec92672c099b61555f8911"}, - {file = "numpy-2.1.0-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:30014b234f07b5fec20f4146f69e13cfb1e33ee9a18a1879a0142fbb00d47673"}, - {file = "numpy-2.1.0-cp310-cp310-macosx_14_0_x86_64.whl", hash = "sha256:899da829b362ade41e1e7eccad2cf274035e1cb36ba73034946fccd4afd8606b"}, - {file = "numpy-2.1.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:08801848a40aea24ce16c2ecde3b756f9ad756586fb2d13210939eb69b023f5b"}, - {file = "numpy-2.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:398049e237d1aae53d82a416dade04defed1a47f87d18d5bd615b6e7d7e41d1f"}, - {file = "numpy-2.1.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:0abb3916a35d9090088a748636b2c06dc9a6542f99cd476979fb156a18192b84"}, - {file = "numpy-2.1.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:10e2350aea18d04832319aac0f887d5fcec1b36abd485d14f173e3e900b83e33"}, - {file = "numpy-2.1.0-cp310-cp310-win32.whl", hash = "sha256:f6b26e6c3b98adb648243670fddc8cab6ae17473f9dc58c51574af3e64d61211"}, - {file = "numpy-2.1.0-cp310-cp310-win_amd64.whl", hash = "sha256:f505264735ee074250a9c78247ee8618292091d9d1fcc023290e9ac67e8f1afa"}, - {file = "numpy-2.1.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:76368c788ccb4f4782cf9c842b316140142b4cbf22ff8db82724e82fe1205dce"}, - {file = "numpy-2.1.0-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:f8e93a01a35be08d31ae33021e5268f157a2d60ebd643cfc15de6ab8e4722eb1"}, - {file = "numpy-2.1.0-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:9523f8b46485db6939bd069b28b642fec86c30909cea90ef550373787f79530e"}, - {file = "numpy-2.1.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:54139e0eb219f52f60656d163cbe67c31ede51d13236c950145473504fa208cb"}, - {file = "numpy-2.1.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f5ebbf9fbdabed208d4ecd2e1dfd2c0741af2f876e7ae522c2537d404ca895c3"}, - {file = "numpy-2.1.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:378cb4f24c7d93066ee4103204f73ed046eb88f9ad5bb2275bb9fa0f6a02bd36"}, - {file = "numpy-2.1.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:d8f699a709120b220dfe173f79c73cb2a2cab2c0b88dd59d7b49407d032b8ebd"}, - {file = "numpy-2.1.0-cp311-cp311-win32.whl", hash = "sha256:ffbd6faeb190aaf2b5e9024bac9622d2ee549b7ec89ef3a9373fa35313d44e0e"}, - {file = "numpy-2.1.0-cp311-cp311-win_amd64.whl", hash = "sha256:0af3a5987f59d9c529c022c8c2a64805b339b7ef506509fba7d0556649b9714b"}, - {file = "numpy-2.1.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:fe76d75b345dc045acdbc006adcb197cc680754afd6c259de60d358d60c93736"}, - {file = "numpy-2.1.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:f358ea9e47eb3c2d6eba121ab512dfff38a88db719c38d1e67349af210bc7529"}, - {file = "numpy-2.1.0-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:dd94ce596bda40a9618324547cfaaf6650b1a24f5390350142499aa4e34e53d1"}, - {file = "numpy-2.1.0-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:b47c551c6724960479cefd7353656498b86e7232429e3a41ab83be4da1b109e8"}, - {file = "numpy-2.1.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a0756a179afa766ad7cb6f036de622e8a8f16ffdd55aa31f296c870b5679d745"}, - {file = "numpy-2.1.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:24003ba8ff22ea29a8c306e61d316ac74111cebf942afbf692df65509a05f111"}, - {file = "numpy-2.1.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:b34fa5e3b5d6dc7e0a4243fa0f81367027cb6f4a7215a17852979634b5544ee0"}, - {file = "numpy-2.1.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:c4f982715e65036c34897eb598d64aef15150c447be2cfc6643ec7a11af06574"}, - {file = "numpy-2.1.0-cp312-cp312-win32.whl", hash = "sha256:c4cd94dfefbefec3f8b544f61286584292d740e6e9d4677769bc76b8f41deb02"}, - {file = "numpy-2.1.0-cp312-cp312-win_amd64.whl", hash = "sha256:a0cdef204199278f5c461a0bed6ed2e052998276e6d8ab2963d5b5c39a0500bc"}, - {file = "numpy-2.1.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:8ab81ccd753859ab89e67199b9da62c543850f819993761c1e94a75a814ed667"}, - {file = "numpy-2.1.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:442596f01913656d579309edcd179a2a2f9977d9a14ff41d042475280fc7f34e"}, - {file = "numpy-2.1.0-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:848c6b5cad9898e4b9ef251b6f934fa34630371f2e916261070a4eb9092ffd33"}, - {file = "numpy-2.1.0-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:54c6a63e9d81efe64bfb7bcb0ec64332a87d0b87575f6009c8ba67ea6374770b"}, - {file = "numpy-2.1.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:652e92fc409e278abdd61e9505649e3938f6d04ce7ef1953f2ec598a50e7c195"}, - {file = "numpy-2.1.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0ab32eb9170bf8ffcbb14f11613f4a0b108d3ffee0832457c5d4808233ba8977"}, - {file = "numpy-2.1.0-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:8fb49a0ba4d8f41198ae2d52118b050fd34dace4b8f3fb0ee34e23eb4ae775b1"}, - {file = "numpy-2.1.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:44e44973262dc3ae79e9063a1284a73e09d01b894b534a769732ccd46c28cc62"}, - {file = "numpy-2.1.0-cp313-cp313-win32.whl", hash = "sha256:ab83adc099ec62e044b1fbb3a05499fa1e99f6d53a1dde102b2d85eff66ed324"}, - {file = "numpy-2.1.0-cp313-cp313-win_amd64.whl", hash = "sha256:de844aaa4815b78f6023832590d77da0e3b6805c644c33ce94a1e449f16d6ab5"}, - {file = "numpy-2.1.0-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:343e3e152bf5a087511cd325e3b7ecfd5b92d369e80e74c12cd87826e263ec06"}, - {file = "numpy-2.1.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:f07fa2f15dabe91259828ce7d71b5ca9e2eb7c8c26baa822c825ce43552f4883"}, - {file = "numpy-2.1.0-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:5474dad8c86ee9ba9bb776f4b99ef2d41b3b8f4e0d199d4f7304728ed34d0300"}, - {file = "numpy-2.1.0-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:1f817c71683fd1bb5cff1529a1d085a57f02ccd2ebc5cd2c566f9a01118e3b7d"}, - {file = "numpy-2.1.0-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3a3336fbfa0d38d3deacd3fe7f3d07e13597f29c13abf4d15c3b6dc2291cbbdd"}, - {file = "numpy-2.1.0-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7a894c51fd8c4e834f00ac742abad73fc485df1062f1b875661a3c1e1fb1c2f6"}, - {file = "numpy-2.1.0-cp313-cp313t-musllinux_1_1_x86_64.whl", hash = "sha256:9156ca1f79fc4acc226696e95bfcc2b486f165a6a59ebe22b2c1f82ab190384a"}, - {file = "numpy-2.1.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:624884b572dff8ca8f60fab591413f077471de64e376b17d291b19f56504b2bb"}, - {file = "numpy-2.1.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:15ef8b2177eeb7e37dd5ef4016f30b7659c57c2c0b57a779f1d537ff33a72c7b"}, - {file = "numpy-2.1.0-pp310-pypy310_pp73-macosx_14_0_x86_64.whl", hash = "sha256:e5f0642cdf4636198a4990de7a71b693d824c56a757862230454629cf62e323d"}, - {file = "numpy-2.1.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f15976718c004466406342789f31b6673776360f3b1e3c575f25302d7e789575"}, - {file = "numpy-2.1.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:6c1de77ded79fef664d5098a66810d4d27ca0224e9051906e634b3f7ead134c2"}, - {file = "numpy-2.1.0.tar.gz", hash = "sha256:7dc90da0081f7e1da49ec4e398ede6a8e9cc4f5ebe5f9e06b443ed889ee9aaa2"}, -] - -[[package]] -name = "overrides" -version = "7.7.0" -description = "A decorator to automatically detect mismatch when overriding a method." -optional = false -python-versions = ">=3.6" -files = [ - {file = "overrides-7.7.0-py3-none-any.whl", hash = "sha256:c7ed9d062f78b8e4c1a7b70bd8796b35ead4d9f510227ef9c5dc7626c60d7e49"}, - {file = "overrides-7.7.0.tar.gz", hash = "sha256:55158fa3d93b98cc75299b1e67078ad9003ca27945c76162c1c0766d6f91820a"}, -] - -[[package]] -name = "packaging" -version = "24.1" -description = "Core utilities for Python packages" -optional = false -python-versions = ">=3.8" -files = [ - {file = "packaging-24.1-py3-none-any.whl", hash = "sha256:5b8f2217dbdbd2f7f384c41c628544e6d52f2d0f53c6d0c3ea61aa5d1d7ff124"}, - {file = "packaging-24.1.tar.gz", hash = "sha256:026ed72c8ed3fcce5bf8950572258698927fd1dbda10a5e981cdf0ac37f4f002"}, -] - -[[package]] -name = "pandas" -version = "2.2.2" -description = "Powerful data structures for data analysis, time series, and statistics" -optional = false -python-versions = ">=3.9" -files = [ - {file = "pandas-2.2.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:90c6fca2acf139569e74e8781709dccb6fe25940488755716d1d354d6bc58bce"}, - {file = "pandas-2.2.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c7adfc142dac335d8c1e0dcbd37eb8617eac386596eb9e1a1b77791cf2498238"}, - {file = "pandas-2.2.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4abfe0be0d7221be4f12552995e58723c7422c80a659da13ca382697de830c08"}, - {file = "pandas-2.2.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8635c16bf3d99040fdf3ca3db669a7250ddf49c55dc4aa8fe0ae0fa8d6dcc1f0"}, - {file = "pandas-2.2.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:40ae1dffb3967a52203105a077415a86044a2bea011b5f321c6aa64b379a3f51"}, - {file = "pandas-2.2.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:8e5a0b00e1e56a842f922e7fae8ae4077aee4af0acb5ae3622bd4b4c30aedf99"}, - {file = "pandas-2.2.2-cp310-cp310-win_amd64.whl", hash = "sha256:ddf818e4e6c7c6f4f7c8a12709696d193976b591cc7dc50588d3d1a6b5dc8772"}, - {file = "pandas-2.2.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:696039430f7a562b74fa45f540aca068ea85fa34c244d0deee539cb6d70aa288"}, - {file = "pandas-2.2.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:8e90497254aacacbc4ea6ae5e7a8cd75629d6ad2b30025a4a8b09aa4faf55151"}, - {file = "pandas-2.2.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:58b84b91b0b9f4bafac2a0ac55002280c094dfc6402402332c0913a59654ab2b"}, - {file = "pandas-2.2.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6d2123dc9ad6a814bcdea0f099885276b31b24f7edf40f6cdbc0912672e22eee"}, - {file = "pandas-2.2.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:2925720037f06e89af896c70bca73459d7e6a4be96f9de79e2d440bd499fe0db"}, - {file = "pandas-2.2.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:0cace394b6ea70c01ca1595f839cf193df35d1575986e484ad35c4aeae7266c1"}, - {file = "pandas-2.2.2-cp311-cp311-win_amd64.whl", hash = "sha256:873d13d177501a28b2756375d59816c365e42ed8417b41665f346289adc68d24"}, - {file = "pandas-2.2.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:9dfde2a0ddef507a631dc9dc4af6a9489d5e2e740e226ad426a05cabfbd7c8ef"}, - {file = "pandas-2.2.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:e9b79011ff7a0f4b1d6da6a61aa1aa604fb312d6647de5bad20013682d1429ce"}, - {file = "pandas-2.2.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1cb51fe389360f3b5a4d57dbd2848a5f033350336ca3b340d1c53a1fad33bcad"}, - {file = "pandas-2.2.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:eee3a87076c0756de40b05c5e9a6069c035ba43e8dd71c379e68cab2c20f16ad"}, - {file = "pandas-2.2.2-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:3e374f59e440d4ab45ca2fffde54b81ac3834cf5ae2cdfa69c90bc03bde04d76"}, - {file = "pandas-2.2.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:43498c0bdb43d55cb162cdc8c06fac328ccb5d2eabe3cadeb3529ae6f0517c32"}, - {file = "pandas-2.2.2-cp312-cp312-win_amd64.whl", hash = "sha256:d187d355ecec3629624fccb01d104da7d7f391db0311145817525281e2804d23"}, - {file = "pandas-2.2.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:0ca6377b8fca51815f382bd0b697a0814c8bda55115678cbc94c30aacbb6eff2"}, - {file = "pandas-2.2.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:9057e6aa78a584bc93a13f0a9bf7e753a5e9770a30b4d758b8d5f2a62a9433cd"}, - {file = "pandas-2.2.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:001910ad31abc7bf06f49dcc903755d2f7f3a9186c0c040b827e522e9cef0863"}, - {file = "pandas-2.2.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:66b479b0bd07204e37583c191535505410daa8df638fd8e75ae1b383851fe921"}, - {file = "pandas-2.2.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:a77e9d1c386196879aa5eb712e77461aaee433e54c68cf253053a73b7e49c33a"}, - {file = "pandas-2.2.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:92fd6b027924a7e178ac202cfbe25e53368db90d56872d20ffae94b96c7acc57"}, - {file = "pandas-2.2.2-cp39-cp39-win_amd64.whl", hash = "sha256:640cef9aa381b60e296db324337a554aeeb883ead99dc8f6c18e81a93942f5f4"}, - {file = "pandas-2.2.2.tar.gz", hash = "sha256:9e79019aba43cb4fda9e4d983f8e88ca0373adbb697ae9c6c43093218de28b54"}, -] - -[package.dependencies] -numpy = {version = ">=1.26.0", markers = "python_version >= \"3.12\""} -python-dateutil = ">=2.8.2" -pytz = ">=2020.1" -tzdata = ">=2022.7" - -[package.extras] -all = ["PyQt5 (>=5.15.9)", "SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "adbc-driver-sqlite (>=0.8.0)", "beautifulsoup4 (>=4.11.2)", "bottleneck (>=1.3.6)", "dataframe-api-compat (>=0.1.7)", "fastparquet (>=2022.12.0)", "fsspec (>=2022.11.0)", "gcsfs (>=2022.11.0)", "html5lib (>=1.1)", "hypothesis (>=6.46.1)", "jinja2 (>=3.1.2)", "lxml (>=4.9.2)", "matplotlib (>=3.6.3)", "numba (>=0.56.4)", "numexpr (>=2.8.4)", "odfpy (>=1.4.1)", "openpyxl (>=3.1.0)", "pandas-gbq (>=0.19.0)", "psycopg2 (>=2.9.6)", "pyarrow (>=10.0.1)", "pymysql (>=1.0.2)", "pyreadstat (>=1.2.0)", "pytest (>=7.3.2)", "pytest-xdist (>=2.2.0)", "python-calamine (>=0.1.7)", "pyxlsb (>=1.0.10)", "qtpy (>=2.3.0)", "s3fs (>=2022.11.0)", "scipy (>=1.10.0)", "tables (>=3.8.0)", "tabulate (>=0.9.0)", "xarray (>=2022.12.0)", "xlrd (>=2.0.1)", "xlsxwriter (>=3.0.5)", "zstandard (>=0.19.0)"] -aws = ["s3fs (>=2022.11.0)"] -clipboard = ["PyQt5 (>=5.15.9)", "qtpy (>=2.3.0)"] -compression = ["zstandard (>=0.19.0)"] -computation = ["scipy (>=1.10.0)", "xarray (>=2022.12.0)"] -consortium-standard = ["dataframe-api-compat (>=0.1.7)"] -excel = ["odfpy (>=1.4.1)", "openpyxl (>=3.1.0)", "python-calamine (>=0.1.7)", "pyxlsb (>=1.0.10)", "xlrd (>=2.0.1)", "xlsxwriter (>=3.0.5)"] -feather = ["pyarrow (>=10.0.1)"] -fss = ["fsspec (>=2022.11.0)"] -gcp = ["gcsfs (>=2022.11.0)", "pandas-gbq (>=0.19.0)"] -hdf5 = ["tables (>=3.8.0)"] -html = ["beautifulsoup4 (>=4.11.2)", "html5lib (>=1.1)", "lxml (>=4.9.2)"] -mysql = ["SQLAlchemy (>=2.0.0)", "pymysql (>=1.0.2)"] -output-formatting = ["jinja2 (>=3.1.2)", "tabulate (>=0.9.0)"] -parquet = ["pyarrow (>=10.0.1)"] -performance = ["bottleneck (>=1.3.6)", "numba (>=0.56.4)", "numexpr (>=2.8.4)"] -plot = ["matplotlib (>=3.6.3)"] -postgresql = ["SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "psycopg2 (>=2.9.6)"] -pyarrow = ["pyarrow (>=10.0.1)"] -spss = ["pyreadstat (>=1.2.0)"] -sql-other = ["SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "adbc-driver-sqlite (>=0.8.0)"] -test = ["hypothesis (>=6.46.1)", "pytest (>=7.3.2)", "pytest-xdist (>=2.2.0)"] -xml = ["lxml (>=4.9.2)"] - -[[package]] -name = "pandocfilters" -version = "1.5.1" -description = "Utilities for writing pandoc filters in python" -optional = false -python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" -files = [ - {file = "pandocfilters-1.5.1-py2.py3-none-any.whl", hash = "sha256:93be382804a9cdb0a7267585f157e5d1731bbe5545a85b268d6f5fe6232de2bc"}, - {file = "pandocfilters-1.5.1.tar.gz", hash = "sha256:002b4a555ee4ebc03f8b66307e287fa492e4a77b4ea14d3f934328297bb4939e"}, -] - -[[package]] -name = "parso" -version = "0.8.4" -description = "A Python Parser" -optional = false -python-versions = ">=3.6" -files = [ - {file = "parso-0.8.4-py2.py3-none-any.whl", hash = "sha256:a418670a20291dacd2dddc80c377c5c3791378ee1e8d12bffc35420643d43f18"}, - {file = "parso-0.8.4.tar.gz", hash = "sha256:eb3a7b58240fb99099a345571deecc0f9540ea5f4dd2fe14c2a99d6b281ab92d"}, -] - -[package.extras] -qa = ["flake8 (==5.0.4)", "mypy (==0.971)", "types-setuptools (==67.2.0.1)"] -testing = ["docopt", "pytest"] - -[[package]] -name = "pexpect" -version = "4.9.0" -description = "Pexpect allows easy control of interactive console applications." -optional = false -python-versions = "*" -files = [ - {file = "pexpect-4.9.0-py2.py3-none-any.whl", hash = "sha256:7236d1e080e4936be2dc3e326cec0af72acf9212a7e1d060210e70a47e253523"}, - {file = "pexpect-4.9.0.tar.gz", hash = "sha256:ee7d41123f3c9911050ea2c2dac107568dc43b2d3b0c7557a33212c398ead30f"}, -] - -[package.dependencies] -ptyprocess = ">=0.5" - -[[package]] -name = "pillow" -version = "10.4.0" -description = "Python Imaging Library (Fork)" -optional = false -python-versions = ">=3.8" -files = [ - {file = "pillow-10.4.0-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:4d9667937cfa347525b319ae34375c37b9ee6b525440f3ef48542fcf66f2731e"}, - {file = "pillow-10.4.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:543f3dc61c18dafb755773efc89aae60d06b6596a63914107f75459cf984164d"}, - {file = "pillow-10.4.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7928ecbf1ece13956b95d9cbcfc77137652b02763ba384d9ab508099a2eca856"}, - {file = "pillow-10.4.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e4d49b85c4348ea0b31ea63bc75a9f3857869174e2bf17e7aba02945cd218e6f"}, - {file = "pillow-10.4.0-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:6c762a5b0997f5659a5ef2266abc1d8851ad7749ad9a6a5506eb23d314e4f46b"}, - {file = "pillow-10.4.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:a985e028fc183bf12a77a8bbf36318db4238a3ded7fa9df1b9a133f1cb79f8fc"}, - {file = "pillow-10.4.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:812f7342b0eee081eaec84d91423d1b4650bb9828eb53d8511bcef8ce5aecf1e"}, - {file = "pillow-10.4.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:ac1452d2fbe4978c2eec89fb5a23b8387aba707ac72810d9490118817d9c0b46"}, - {file = "pillow-10.4.0-cp310-cp310-win32.whl", hash = "sha256:bcd5e41a859bf2e84fdc42f4edb7d9aba0a13d29a2abadccafad99de3feff984"}, - {file = "pillow-10.4.0-cp310-cp310-win_amd64.whl", hash = "sha256:ecd85a8d3e79cd7158dec1c9e5808e821feea088e2f69a974db5edf84dc53141"}, - {file = "pillow-10.4.0-cp310-cp310-win_arm64.whl", hash = "sha256:ff337c552345e95702c5fde3158acb0625111017d0e5f24bf3acdb9cc16b90d1"}, - {file = "pillow-10.4.0-cp311-cp311-macosx_10_10_x86_64.whl", hash = "sha256:0a9ec697746f268507404647e531e92889890a087e03681a3606d9b920fbee3c"}, - {file = "pillow-10.4.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:dfe91cb65544a1321e631e696759491ae04a2ea11d36715eca01ce07284738be"}, - {file = "pillow-10.4.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5dc6761a6efc781e6a1544206f22c80c3af4c8cf461206d46a1e6006e4429ff3"}, - {file = "pillow-10.4.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5e84b6cc6a4a3d76c153a6b19270b3526a5a8ed6b09501d3af891daa2a9de7d6"}, - {file = "pillow-10.4.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:bbc527b519bd3aa9d7f429d152fea69f9ad37c95f0b02aebddff592688998abe"}, - {file = "pillow-10.4.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:76a911dfe51a36041f2e756b00f96ed84677cdeb75d25c767f296c1c1eda1319"}, - {file = "pillow-10.4.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:59291fb29317122398786c2d44427bbd1a6d7ff54017075b22be9d21aa59bd8d"}, - {file = "pillow-10.4.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:416d3a5d0e8cfe4f27f574362435bc9bae57f679a7158e0096ad2beb427b8696"}, - {file = "pillow-10.4.0-cp311-cp311-win32.whl", hash = "sha256:7086cc1d5eebb91ad24ded9f58bec6c688e9f0ed7eb3dbbf1e4800280a896496"}, - {file = "pillow-10.4.0-cp311-cp311-win_amd64.whl", hash = "sha256:cbed61494057c0f83b83eb3a310f0bf774b09513307c434d4366ed64f4128a91"}, - {file = "pillow-10.4.0-cp311-cp311-win_arm64.whl", hash = "sha256:f5f0c3e969c8f12dd2bb7e0b15d5c468b51e5017e01e2e867335c81903046a22"}, - {file = "pillow-10.4.0-cp312-cp312-macosx_10_10_x86_64.whl", hash = "sha256:673655af3eadf4df6b5457033f086e90299fdd7a47983a13827acf7459c15d94"}, - {file = "pillow-10.4.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:866b6942a92f56300012f5fbac71f2d610312ee65e22f1aa2609e491284e5597"}, - {file = "pillow-10.4.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:29dbdc4207642ea6aad70fbde1a9338753d33fb23ed6956e706936706f52dd80"}, - {file = "pillow-10.4.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bf2342ac639c4cf38799a44950bbc2dfcb685f052b9e262f446482afaf4bffca"}, - {file = "pillow-10.4.0-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:f5b92f4d70791b4a67157321c4e8225d60b119c5cc9aee8ecf153aace4aad4ef"}, - {file = "pillow-10.4.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:86dcb5a1eb778d8b25659d5e4341269e8590ad6b4e8b44d9f4b07f8d136c414a"}, - {file = "pillow-10.4.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:780c072c2e11c9b2c7ca37f9a2ee8ba66f44367ac3e5c7832afcfe5104fd6d1b"}, - {file = "pillow-10.4.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:37fb69d905be665f68f28a8bba3c6d3223c8efe1edf14cc4cfa06c241f8c81d9"}, - {file = "pillow-10.4.0-cp312-cp312-win32.whl", hash = "sha256:7dfecdbad5c301d7b5bde160150b4db4c659cee2b69589705b6f8a0c509d9f42"}, - {file = "pillow-10.4.0-cp312-cp312-win_amd64.whl", hash = "sha256:1d846aea995ad352d4bdcc847535bd56e0fd88d36829d2c90be880ef1ee4668a"}, - {file = "pillow-10.4.0-cp312-cp312-win_arm64.whl", hash = "sha256:e553cad5179a66ba15bb18b353a19020e73a7921296a7979c4a2b7f6a5cd57f9"}, - {file = "pillow-10.4.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:8bc1a764ed8c957a2e9cacf97c8b2b053b70307cf2996aafd70e91a082e70df3"}, - {file = "pillow-10.4.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:6209bb41dc692ddfee4942517c19ee81b86c864b626dbfca272ec0f7cff5d9fb"}, - {file = "pillow-10.4.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bee197b30783295d2eb680b311af15a20a8b24024a19c3a26431ff83eb8d1f70"}, - {file = "pillow-10.4.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1ef61f5dd14c300786318482456481463b9d6b91ebe5ef12f405afbba77ed0be"}, - {file = "pillow-10.4.0-cp313-cp313-manylinux_2_28_aarch64.whl", hash = "sha256:297e388da6e248c98bc4a02e018966af0c5f92dfacf5a5ca22fa01cb3179bca0"}, - {file = "pillow-10.4.0-cp313-cp313-manylinux_2_28_x86_64.whl", hash = "sha256:e4db64794ccdf6cb83a59d73405f63adbe2a1887012e308828596100a0b2f6cc"}, - {file = "pillow-10.4.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:bd2880a07482090a3bcb01f4265f1936a903d70bc740bfcb1fd4e8a2ffe5cf5a"}, - {file = "pillow-10.4.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:4b35b21b819ac1dbd1233317adeecd63495f6babf21b7b2512d244ff6c6ce309"}, - {file = "pillow-10.4.0-cp313-cp313-win32.whl", hash = "sha256:551d3fd6e9dc15e4c1eb6fc4ba2b39c0c7933fa113b220057a34f4bb3268a060"}, - {file = "pillow-10.4.0-cp313-cp313-win_amd64.whl", hash = "sha256:030abdbe43ee02e0de642aee345efa443740aa4d828bfe8e2eb11922ea6a21ea"}, - {file = "pillow-10.4.0-cp313-cp313-win_arm64.whl", hash = "sha256:5b001114dd152cfd6b23befeb28d7aee43553e2402c9f159807bf55f33af8a8d"}, - {file = "pillow-10.4.0-cp38-cp38-macosx_10_10_x86_64.whl", hash = "sha256:8d4d5063501b6dd4024b8ac2f04962d661222d120381272deea52e3fc52d3736"}, - {file = "pillow-10.4.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:7c1ee6f42250df403c5f103cbd2768a28fe1a0ea1f0f03fe151c8741e1469c8b"}, - {file = "pillow-10.4.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b15e02e9bb4c21e39876698abf233c8c579127986f8207200bc8a8f6bb27acf2"}, - {file = "pillow-10.4.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7a8d4bade9952ea9a77d0c3e49cbd8b2890a399422258a77f357b9cc9be8d680"}, - {file = "pillow-10.4.0-cp38-cp38-manylinux_2_28_aarch64.whl", hash = "sha256:43efea75eb06b95d1631cb784aa40156177bf9dd5b4b03ff38979e048258bc6b"}, - {file = "pillow-10.4.0-cp38-cp38-manylinux_2_28_x86_64.whl", hash = "sha256:950be4d8ba92aca4b2bb0741285a46bfae3ca699ef913ec8416c1b78eadd64cd"}, - {file = "pillow-10.4.0-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:d7480af14364494365e89d6fddc510a13e5a2c3584cb19ef65415ca57252fb84"}, - {file = "pillow-10.4.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:73664fe514b34c8f02452ffb73b7a92c6774e39a647087f83d67f010eb9a0cf0"}, - {file = "pillow-10.4.0-cp38-cp38-win32.whl", hash = "sha256:e88d5e6ad0d026fba7bdab8c3f225a69f063f116462c49892b0149e21b6c0a0e"}, - {file = "pillow-10.4.0-cp38-cp38-win_amd64.whl", hash = "sha256:5161eef006d335e46895297f642341111945e2c1c899eb406882a6c61a4357ab"}, - {file = "pillow-10.4.0-cp39-cp39-macosx_10_10_x86_64.whl", hash = "sha256:0ae24a547e8b711ccaaf99c9ae3cd975470e1a30caa80a6aaee9a2f19c05701d"}, - {file = "pillow-10.4.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:298478fe4f77a4408895605f3482b6cc6222c018b2ce565c2b6b9c354ac3229b"}, - {file = "pillow-10.4.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:134ace6dc392116566980ee7436477d844520a26a4b1bd4053f6f47d096997fd"}, - {file = "pillow-10.4.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:930044bb7679ab003b14023138b50181899da3f25de50e9dbee23b61b4de2126"}, - {file = "pillow-10.4.0-cp39-cp39-manylinux_2_28_aarch64.whl", hash = "sha256:c76e5786951e72ed3686e122d14c5d7012f16c8303a674d18cdcd6d89557fc5b"}, - {file = "pillow-10.4.0-cp39-cp39-manylinux_2_28_x86_64.whl", hash = "sha256:b2724fdb354a868ddf9a880cb84d102da914e99119211ef7ecbdc613b8c96b3c"}, - {file = "pillow-10.4.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:dbc6ae66518ab3c5847659e9988c3b60dc94ffb48ef9168656e0019a93dbf8a1"}, - {file = "pillow-10.4.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:06b2f7898047ae93fad74467ec3d28fe84f7831370e3c258afa533f81ef7f3df"}, - {file = "pillow-10.4.0-cp39-cp39-win32.whl", hash = "sha256:7970285ab628a3779aecc35823296a7869f889b8329c16ad5a71e4901a3dc4ef"}, - {file = "pillow-10.4.0-cp39-cp39-win_amd64.whl", hash = "sha256:961a7293b2457b405967af9c77dcaa43cc1a8cd50d23c532e62d48ab6cdd56f5"}, - {file = "pillow-10.4.0-cp39-cp39-win_arm64.whl", hash = "sha256:32cda9e3d601a52baccb2856b8ea1fc213c90b340c542dcef77140dfa3278a9e"}, - {file = "pillow-10.4.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:5b4815f2e65b30f5fbae9dfffa8636d992d49705723fe86a3661806e069352d4"}, - {file = "pillow-10.4.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:8f0aef4ef59694b12cadee839e2ba6afeab89c0f39a3adc02ed51d109117b8da"}, - {file = "pillow-10.4.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9f4727572e2918acaa9077c919cbbeb73bd2b3ebcfe033b72f858fc9fbef0026"}, - {file = "pillow-10.4.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ff25afb18123cea58a591ea0244b92eb1e61a1fd497bf6d6384f09bc3262ec3e"}, - {file = "pillow-10.4.0-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:dc3e2db6ba09ffd7d02ae9141cfa0ae23393ee7687248d46a7507b75d610f4f5"}, - {file = "pillow-10.4.0-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:02a2be69f9c9b8c1e97cf2713e789d4e398c751ecfd9967c18d0ce304efbf885"}, - {file = "pillow-10.4.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:0755ffd4a0c6f267cccbae2e9903d95477ca2f77c4fcf3a3a09570001856c8a5"}, - {file = "pillow-10.4.0-pp39-pypy39_pp73-macosx_10_15_x86_64.whl", hash = "sha256:a02364621fe369e06200d4a16558e056fe2805d3468350df3aef21e00d26214b"}, - {file = "pillow-10.4.0-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:1b5dea9831a90e9d0721ec417a80d4cbd7022093ac38a568db2dd78363b00908"}, - {file = "pillow-10.4.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9b885f89040bb8c4a1573566bbb2f44f5c505ef6e74cec7ab9068c900047f04b"}, - {file = "pillow-10.4.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:87dd88ded2e6d74d31e1e0a99a726a6765cda32d00ba72dc37f0651f306daaa8"}, - {file = "pillow-10.4.0-pp39-pypy39_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:2db98790afc70118bd0255c2eeb465e9767ecf1f3c25f9a1abb8ffc8cfd1fe0a"}, - {file = "pillow-10.4.0-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:f7baece4ce06bade126fb84b8af1c33439a76d8a6fd818970215e0560ca28c27"}, - {file = "pillow-10.4.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:cfdd747216947628af7b259d274771d84db2268ca062dd5faf373639d00113a3"}, - {file = "pillow-10.4.0.tar.gz", hash = "sha256:166c1cd4d24309b30d61f79f4a9114b7b2313d7450912277855ff5dfd7cd4a06"}, -] - -[package.extras] -docs = ["furo", "olefile", "sphinx (>=7.3)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinxext-opengraph"] -fpx = ["olefile"] -mic = ["olefile"] -tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"] -typing = ["typing-extensions"] -xmp = ["defusedxml"] - -[[package]] -name = "platformdirs" -version = "4.2.2" -description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`." -optional = false -python-versions = ">=3.8" -files = [ - {file = "platformdirs-4.2.2-py3-none-any.whl", hash = "sha256:2d7a1657e36a80ea911db832a8a6ece5ee53d8de21edd5cc5879af6530b1bfee"}, - {file = "platformdirs-4.2.2.tar.gz", hash = "sha256:38b7b51f512eed9e84a22788b4bce1de17c0adb134d6becb09836e37d8654cd3"}, -] - -[package.extras] -docs = ["furo (>=2023.9.10)", "proselint (>=0.13)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.25.2)"] -test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)"] -type = ["mypy (>=1.8)"] - -[[package]] -name = "prometheus-client" -version = "0.20.0" -description = "Python client for the Prometheus monitoring system." -optional = false -python-versions = ">=3.8" -files = [ - {file = "prometheus_client-0.20.0-py3-none-any.whl", hash = "sha256:cde524a85bce83ca359cc837f28b8c0db5cac7aa653a588fd7e84ba061c329e7"}, - {file = "prometheus_client-0.20.0.tar.gz", hash = "sha256:287629d00b147a32dcb2be0b9df905da599b2d82f80377083ec8463309a4bb89"}, -] - -[package.extras] -twisted = ["twisted"] - -[[package]] -name = "prompt-toolkit" -version = "3.0.47" -description = "Library for building powerful interactive command lines in Python" -optional = false -python-versions = ">=3.7.0" -files = [ - {file = "prompt_toolkit-3.0.47-py3-none-any.whl", hash = "sha256:0d7bfa67001d5e39d02c224b663abc33687405033a8c422d0d675a5a13361d10"}, - {file = "prompt_toolkit-3.0.47.tar.gz", hash = "sha256:1e1b29cb58080b1e69f207c893a1a7bf16d127a5c30c9d17a25a5d77792e5360"}, -] - -[package.dependencies] -wcwidth = "*" - -[[package]] -name = "psutil" -version = "6.0.0" -description = "Cross-platform lib for process and system monitoring in Python." -optional = false -python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7" -files = [ - {file = "psutil-6.0.0-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:a021da3e881cd935e64a3d0a20983bda0bb4cf80e4f74fa9bfcb1bc5785360c6"}, - {file = "psutil-6.0.0-cp27-cp27m-manylinux2010_i686.whl", hash = "sha256:1287c2b95f1c0a364d23bc6f2ea2365a8d4d9b726a3be7294296ff7ba97c17f0"}, - {file = "psutil-6.0.0-cp27-cp27m-manylinux2010_x86_64.whl", hash = "sha256:a9a3dbfb4de4f18174528d87cc352d1f788b7496991cca33c6996f40c9e3c92c"}, - {file = "psutil-6.0.0-cp27-cp27mu-manylinux2010_i686.whl", hash = "sha256:6ec7588fb3ddaec7344a825afe298db83fe01bfaaab39155fa84cf1c0d6b13c3"}, - {file = "psutil-6.0.0-cp27-cp27mu-manylinux2010_x86_64.whl", hash = "sha256:1e7c870afcb7d91fdea2b37c24aeb08f98b6d67257a5cb0a8bc3ac68d0f1a68c"}, - {file = "psutil-6.0.0-cp27-none-win32.whl", hash = "sha256:02b69001f44cc73c1c5279d02b30a817e339ceb258ad75997325e0e6169d8b35"}, - {file = "psutil-6.0.0-cp27-none-win_amd64.whl", hash = "sha256:21f1fb635deccd510f69f485b87433460a603919b45e2a324ad65b0cc74f8fb1"}, - {file = "psutil-6.0.0-cp36-abi3-macosx_10_9_x86_64.whl", hash = "sha256:c588a7e9b1173b6e866756dde596fd4cad94f9399daf99ad8c3258b3cb2b47a0"}, - {file = "psutil-6.0.0-cp36-abi3-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6ed2440ada7ef7d0d608f20ad89a04ec47d2d3ab7190896cd62ca5fc4fe08bf0"}, - {file = "psutil-6.0.0-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5fd9a97c8e94059b0ef54a7d4baf13b405011176c3b6ff257c247cae0d560ecd"}, - {file = "psutil-6.0.0-cp36-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e2e8d0054fc88153ca0544f5c4d554d42e33df2e009c4ff42284ac9ebdef4132"}, - {file = "psutil-6.0.0-cp36-cp36m-win32.whl", hash = "sha256:fc8c9510cde0146432bbdb433322861ee8c3efbf8589865c8bf8d21cb30c4d14"}, - {file = "psutil-6.0.0-cp36-cp36m-win_amd64.whl", hash = "sha256:34859b8d8f423b86e4385ff3665d3f4d94be3cdf48221fbe476e883514fdb71c"}, - {file = "psutil-6.0.0-cp37-abi3-win32.whl", hash = "sha256:a495580d6bae27291324fe60cea0b5a7c23fa36a7cd35035a16d93bdcf076b9d"}, - {file = "psutil-6.0.0-cp37-abi3-win_amd64.whl", hash = "sha256:33ea5e1c975250a720b3a6609c490db40dae5d83a4eb315170c4fe0d8b1f34b3"}, - {file = "psutil-6.0.0-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:ffe7fc9b6b36beadc8c322f84e1caff51e8703b88eee1da46d1e3a6ae11b4fd0"}, - {file = "psutil-6.0.0.tar.gz", hash = "sha256:8faae4f310b6d969fa26ca0545338b21f73c6b15db7c4a8d934a5482faa818f2"}, -] - -[package.extras] -test = ["enum34", "ipaddress", "mock", "pywin32", "wmi"] - -[[package]] -name = "ptyprocess" -version = "0.7.0" -description = "Run a subprocess in a pseudo terminal" -optional = false -python-versions = "*" -files = [ - {file = "ptyprocess-0.7.0-py2.py3-none-any.whl", hash = "sha256:4b41f3967fce3af57cc7e94b888626c18bf37a083e3651ca8feeb66d492fef35"}, - {file = "ptyprocess-0.7.0.tar.gz", hash = "sha256:5c5d0a3b48ceee0b48485e0c26037c0acd7d29765ca3fbb5cb3831d347423220"}, -] - -[[package]] -name = "pure-eval" -version = "0.2.3" -description = "Safely evaluate AST nodes without side effects" -optional = false -python-versions = "*" -files = [ - {file = "pure_eval-0.2.3-py3-none-any.whl", hash = "sha256:1db8e35b67b3d218d818ae653e27f06c3aa420901fa7b081ca98cbedc874e0d0"}, - {file = "pure_eval-0.2.3.tar.gz", hash = "sha256:5f4e983f40564c576c7c8635ae88db5956bb2229d7e9237d03b3c0b0190eaf42"}, -] - -[package.extras] -tests = ["pytest"] - -[[package]] -name = "pycparser" -version = "2.22" -description = "C parser in Python" -optional = false -python-versions = ">=3.8" -files = [ - {file = "pycparser-2.22-py3-none-any.whl", hash = "sha256:c3702b6d3dd8c7abc1afa565d7e63d53a1d0bd86cdc24edd75470f4de499cfcc"}, - {file = "pycparser-2.22.tar.gz", hash = "sha256:491c8be9c040f5390f5bf44a5b07752bd07f56edf992381b05c701439eec10f6"}, -] - -[[package]] -name = "pygments" -version = "2.18.0" -description = "Pygments is a syntax highlighting package written in Python." -optional = false -python-versions = ">=3.8" -files = [ - {file = "pygments-2.18.0-py3-none-any.whl", hash = "sha256:b8e6aca0523f3ab76fee51799c488e38782ac06eafcf95e7ba832985c8e7b13a"}, - {file = "pygments-2.18.0.tar.gz", hash = "sha256:786ff802f32e91311bff3889f6e9a86e81505fe99f2735bb6d60ae0c5004f199"}, -] - -[package.extras] -windows-terminal = ["colorama (>=0.4.6)"] - -[[package]] -name = "pyparsing" -version = "3.1.4" -description = "pyparsing module - Classes and methods to define and execute parsing grammars" -optional = false -python-versions = ">=3.6.8" -files = [ - {file = "pyparsing-3.1.4-py3-none-any.whl", hash = "sha256:a6a7ee4235a3f944aa1fa2249307708f893fe5717dc603503c6c7969c070fb7c"}, - {file = "pyparsing-3.1.4.tar.gz", hash = "sha256:f86ec8d1a83f11977c9a6ea7598e8c27fc5cddfa5b07ea2241edbbde1d7bc032"}, -] - -[package.extras] -diagrams = ["jinja2", "railroad-diagrams"] - -[[package]] -name = "python-dateutil" -version = "2.9.0.post0" -description = "Extensions to the standard Python datetime module" -optional = false -python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7" -files = [ - {file = "python-dateutil-2.9.0.post0.tar.gz", hash = "sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3"}, - {file = "python_dateutil-2.9.0.post0-py2.py3-none-any.whl", hash = "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427"}, -] - -[package.dependencies] -six = ">=1.5" - -[[package]] -name = "python-dotenv" -version = "1.0.1" -description = "Read key-value pairs from a .env file and set them as environment variables" -optional = false -python-versions = ">=3.8" -files = [ - {file = "python-dotenv-1.0.1.tar.gz", hash = "sha256:e324ee90a023d808f1959c46bcbc04446a10ced277783dc6ee09987c37ec10ca"}, - {file = "python_dotenv-1.0.1-py3-none-any.whl", hash = "sha256:f7b63ef50f1b690dddf550d03497b66d609393b40b564ed0d674909a68ebf16a"}, -] - -[package.extras] -cli = ["click (>=5.0)"] - -[[package]] -name = "python-json-logger" -version = "2.0.7" -description = "A python library adding a json log formatter" -optional = false -python-versions = ">=3.6" -files = [ - {file = "python-json-logger-2.0.7.tar.gz", hash = "sha256:23e7ec02d34237c5aa1e29a070193a4ea87583bb4e7f8fd06d3de8264c4b2e1c"}, - {file = "python_json_logger-2.0.7-py3-none-any.whl", hash = "sha256:f380b826a991ebbe3de4d897aeec42760035ac760345e57b812938dc8b35e2bd"}, -] - -[[package]] -name = "pytz" -version = "2024.1" -description = "World timezone definitions, modern and historical" -optional = false -python-versions = "*" -files = [ - {file = "pytz-2024.1-py2.py3-none-any.whl", hash = "sha256:328171f4e3623139da4983451950b28e95ac706e13f3f2630a879749e7a8b319"}, - {file = "pytz-2024.1.tar.gz", hash = "sha256:2a29735ea9c18baf14b448846bde5a48030ed267578472d8955cd0e7443a9812"}, -] - -[[package]] -name = "pywin32" -version = "306" -description = "Python for Window Extensions" -optional = false -python-versions = "*" -files = [ - {file = "pywin32-306-cp310-cp310-win32.whl", hash = "sha256:06d3420a5155ba65f0b72f2699b5bacf3109f36acbe8923765c22938a69dfc8d"}, - {file = "pywin32-306-cp310-cp310-win_amd64.whl", hash = "sha256:84f4471dbca1887ea3803d8848a1616429ac94a4a8d05f4bc9c5dcfd42ca99c8"}, - {file = "pywin32-306-cp311-cp311-win32.whl", hash = "sha256:e65028133d15b64d2ed8f06dd9fbc268352478d4f9289e69c190ecd6818b6407"}, - {file = "pywin32-306-cp311-cp311-win_amd64.whl", hash = "sha256:a7639f51c184c0272e93f244eb24dafca9b1855707d94c192d4a0b4c01e1100e"}, - {file = "pywin32-306-cp311-cp311-win_arm64.whl", hash = "sha256:70dba0c913d19f942a2db25217d9a1b726c278f483a919f1abfed79c9cf64d3a"}, - {file = "pywin32-306-cp312-cp312-win32.whl", hash = "sha256:383229d515657f4e3ed1343da8be101000562bf514591ff383ae940cad65458b"}, - {file = "pywin32-306-cp312-cp312-win_amd64.whl", hash = "sha256:37257794c1ad39ee9be652da0462dc2e394c8159dfd913a8a4e8eb6fd346da0e"}, - {file = "pywin32-306-cp312-cp312-win_arm64.whl", hash = "sha256:5821ec52f6d321aa59e2db7e0a35b997de60c201943557d108af9d4ae1ec7040"}, - {file = "pywin32-306-cp37-cp37m-win32.whl", hash = "sha256:1c73ea9a0d2283d889001998059f5eaaba3b6238f767c9cf2833b13e6a685f65"}, - {file = "pywin32-306-cp37-cp37m-win_amd64.whl", hash = "sha256:72c5f621542d7bdd4fdb716227be0dd3f8565c11b280be6315b06ace35487d36"}, - {file = "pywin32-306-cp38-cp38-win32.whl", hash = "sha256:e4c092e2589b5cf0d365849e73e02c391c1349958c5ac3e9d5ccb9a28e017b3a"}, - {file = "pywin32-306-cp38-cp38-win_amd64.whl", hash = "sha256:e8ac1ae3601bee6ca9f7cb4b5363bf1c0badb935ef243c4733ff9a393b1690c0"}, - {file = "pywin32-306-cp39-cp39-win32.whl", hash = "sha256:e25fd5b485b55ac9c057f67d94bc203f3f6595078d1fb3b458c9c28b7153a802"}, - {file = "pywin32-306-cp39-cp39-win_amd64.whl", hash = "sha256:39b61c15272833b5c329a2989999dcae836b1eed650252ab1b7bfbe1d59f30f4"}, -] - -[[package]] -name = "pywinpty" -version = "2.0.13" -description = "Pseudo terminal support for Windows from Python." -optional = false -python-versions = ">=3.8" -files = [ - {file = "pywinpty-2.0.13-cp310-none-win_amd64.whl", hash = "sha256:697bff211fb5a6508fee2dc6ff174ce03f34a9a233df9d8b5fe9c8ce4d5eaf56"}, - {file = "pywinpty-2.0.13-cp311-none-win_amd64.whl", hash = "sha256:b96fb14698db1284db84ca38c79f15b4cfdc3172065b5137383910567591fa99"}, - {file = "pywinpty-2.0.13-cp312-none-win_amd64.whl", hash = "sha256:2fd876b82ca750bb1333236ce98488c1be96b08f4f7647cfdf4129dfad83c2d4"}, - {file = "pywinpty-2.0.13-cp38-none-win_amd64.whl", hash = "sha256:61d420c2116c0212808d31625611b51caf621fe67f8a6377e2e8b617ea1c1f7d"}, - {file = "pywinpty-2.0.13-cp39-none-win_amd64.whl", hash = "sha256:71cb613a9ee24174730ac7ae439fd179ca34ccb8c5349e8d7b72ab5dea2c6f4b"}, - {file = "pywinpty-2.0.13.tar.gz", hash = "sha256:c34e32351a3313ddd0d7da23d27f835c860d32fe4ac814d372a3ea9594f41dde"}, -] - -[[package]] -name = "pyyaml" -version = "6.0.2" -description = "YAML parser and emitter for Python" -optional = false -python-versions = ">=3.8" -files = [ - {file = "PyYAML-6.0.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0a9a2848a5b7feac301353437eb7d5957887edbf81d56e903999a75a3d743086"}, - {file = "PyYAML-6.0.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:29717114e51c84ddfba879543fb232a6ed60086602313ca38cce623c1d62cfbf"}, - {file = "PyYAML-6.0.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8824b5a04a04a047e72eea5cec3bc266db09e35de6bdfe34c9436ac5ee27d237"}, - {file = "PyYAML-6.0.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:7c36280e6fb8385e520936c3cb3b8042851904eba0e58d277dca80a5cfed590b"}, - {file = "PyYAML-6.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ec031d5d2feb36d1d1a24380e4db6d43695f3748343d99434e6f5f9156aaa2ed"}, - {file = "PyYAML-6.0.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:936d68689298c36b53b29f23c6dbb74de12b4ac12ca6cfe0e047bedceea56180"}, - {file = "PyYAML-6.0.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:23502f431948090f597378482b4812b0caae32c22213aecf3b55325e049a6c68"}, - {file = "PyYAML-6.0.2-cp310-cp310-win32.whl", hash = "sha256:2e99c6826ffa974fe6e27cdb5ed0021786b03fc98e5ee3c5bfe1fd5015f42b99"}, - {file = "PyYAML-6.0.2-cp310-cp310-win_amd64.whl", hash = "sha256:a4d3091415f010369ae4ed1fc6b79def9416358877534caf6a0fdd2146c87a3e"}, - {file = "PyYAML-6.0.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:cc1c1159b3d456576af7a3e4d1ba7e6924cb39de8f67111c735f6fc832082774"}, - {file = "PyYAML-6.0.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:1e2120ef853f59c7419231f3bf4e7021f1b936f6ebd222406c3b60212205d2ee"}, - {file = "PyYAML-6.0.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5d225db5a45f21e78dd9358e58a98702a0302f2659a3c6cd320564b75b86f47c"}, - {file = "PyYAML-6.0.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5ac9328ec4831237bec75defaf839f7d4564be1e6b25ac710bd1a96321cc8317"}, - {file = "PyYAML-6.0.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3ad2a3decf9aaba3d29c8f537ac4b243e36bef957511b4766cb0057d32b0be85"}, - {file = "PyYAML-6.0.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:ff3824dc5261f50c9b0dfb3be22b4567a6f938ccce4587b38952d85fd9e9afe4"}, - {file = "PyYAML-6.0.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:797b4f722ffa07cc8d62053e4cff1486fa6dc094105d13fea7b1de7d8bf71c9e"}, - {file = "PyYAML-6.0.2-cp311-cp311-win32.whl", hash = "sha256:11d8f3dd2b9c1207dcaf2ee0bbbfd5991f571186ec9cc78427ba5bd32afae4b5"}, - {file = "PyYAML-6.0.2-cp311-cp311-win_amd64.whl", hash = "sha256:e10ce637b18caea04431ce14fabcf5c64a1c61ec9c56b071a4b7ca131ca52d44"}, - {file = "PyYAML-6.0.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:c70c95198c015b85feafc136515252a261a84561b7b1d51e3384e0655ddf25ab"}, - {file = "PyYAML-6.0.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:ce826d6ef20b1bc864f0a68340c8b3287705cae2f8b4b1d932177dcc76721725"}, - {file = "PyYAML-6.0.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1f71ea527786de97d1a0cc0eacd1defc0985dcf6b3f17bb77dcfc8c34bec4dc5"}, - {file = "PyYAML-6.0.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9b22676e8097e9e22e36d6b7bda33190d0d400f345f23d4065d48f4ca7ae0425"}, - {file = "PyYAML-6.0.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:80bab7bfc629882493af4aa31a4cfa43a4c57c83813253626916b8c7ada83476"}, - {file = "PyYAML-6.0.2-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:0833f8694549e586547b576dcfaba4a6b55b9e96098b36cdc7ebefe667dfed48"}, - {file = "PyYAML-6.0.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8b9c7197f7cb2738065c481a0461e50ad02f18c78cd75775628afb4d7137fb3b"}, - {file = "PyYAML-6.0.2-cp312-cp312-win32.whl", hash = "sha256:ef6107725bd54b262d6dedcc2af448a266975032bc85ef0172c5f059da6325b4"}, - {file = "PyYAML-6.0.2-cp312-cp312-win_amd64.whl", hash = "sha256:7e7401d0de89a9a855c839bc697c079a4af81cf878373abd7dc625847d25cbd8"}, - {file = "PyYAML-6.0.2-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:efdca5630322a10774e8e98e1af481aad470dd62c3170801852d752aa7a783ba"}, - {file = "PyYAML-6.0.2-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:50187695423ffe49e2deacb8cd10510bc361faac997de9efef88badc3bb9e2d1"}, - {file = "PyYAML-6.0.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0ffe8360bab4910ef1b9e87fb812d8bc0a308b0d0eef8c8f44e0254ab3b07133"}, - {file = "PyYAML-6.0.2-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:17e311b6c678207928d649faa7cb0d7b4c26a0ba73d41e99c4fff6b6c3276484"}, - {file = "PyYAML-6.0.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:70b189594dbe54f75ab3a1acec5f1e3faa7e8cf2f1e08d9b561cb41b845f69d5"}, - {file = "PyYAML-6.0.2-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:41e4e3953a79407c794916fa277a82531dd93aad34e29c2a514c2c0c5fe971cc"}, - {file = "PyYAML-6.0.2-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:68ccc6023a3400877818152ad9a1033e3db8625d899c72eacb5a668902e4d652"}, - {file = "PyYAML-6.0.2-cp313-cp313-win32.whl", hash = "sha256:bc2fa7c6b47d6bc618dd7fb02ef6fdedb1090ec036abab80d4681424b84c1183"}, - {file = "PyYAML-6.0.2-cp313-cp313-win_amd64.whl", hash = "sha256:8388ee1976c416731879ac16da0aff3f63b286ffdd57cdeb95f3f2e085687563"}, - {file = "PyYAML-6.0.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:24471b829b3bf607e04e88d79542a9d48bb037c2267d7927a874e6c205ca7e9a"}, - {file = "PyYAML-6.0.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d7fded462629cfa4b685c5416b949ebad6cec74af5e2d42905d41e257e0869f5"}, - {file = "PyYAML-6.0.2-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d84a1718ee396f54f3a086ea0a66d8e552b2ab2017ef8b420e92edbc841c352d"}, - {file = "PyYAML-6.0.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9056c1ecd25795207ad294bcf39f2db3d845767be0ea6e6a34d856f006006083"}, - {file = "PyYAML-6.0.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:82d09873e40955485746739bcb8b4586983670466c23382c19cffecbf1fd8706"}, - {file = "PyYAML-6.0.2-cp38-cp38-win32.whl", hash = "sha256:43fa96a3ca0d6b1812e01ced1044a003533c47f6ee8aca31724f78e93ccc089a"}, - {file = "PyYAML-6.0.2-cp38-cp38-win_amd64.whl", hash = "sha256:01179a4a8559ab5de078078f37e5c1a30d76bb88519906844fd7bdea1b7729ff"}, - {file = "PyYAML-6.0.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:688ba32a1cffef67fd2e9398a2efebaea461578b0923624778664cc1c914db5d"}, - {file = "PyYAML-6.0.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:a8786accb172bd8afb8be14490a16625cbc387036876ab6ba70912730faf8e1f"}, - {file = "PyYAML-6.0.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d8e03406cac8513435335dbab54c0d385e4a49e4945d2909a581c83647ca0290"}, - {file = "PyYAML-6.0.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f753120cb8181e736c57ef7636e83f31b9c0d1722c516f7e86cf15b7aa57ff12"}, - {file = "PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3b1fdb9dc17f5a7677423d508ab4f243a726dea51fa5e70992e59a7411c89d19"}, - {file = "PyYAML-6.0.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:0b69e4ce7a131fe56b7e4d770c67429700908fc0752af059838b1cfb41960e4e"}, - {file = "PyYAML-6.0.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:a9f8c2e67970f13b16084e04f134610fd1d374bf477b17ec1599185cf611d725"}, - {file = "PyYAML-6.0.2-cp39-cp39-win32.whl", hash = "sha256:6395c297d42274772abc367baaa79683958044e5d3835486c16da75d2a694631"}, - {file = "PyYAML-6.0.2-cp39-cp39-win_amd64.whl", hash = "sha256:39693e1f8320ae4f43943590b49779ffb98acb81f788220ea932a6b6c51004d8"}, - {file = "pyyaml-6.0.2.tar.gz", hash = "sha256:d584d9ec91ad65861cc08d42e834324ef890a082e591037abe114850ff7bbc3e"}, -] - -[[package]] -name = "pyzmq" -version = "26.2.0" -description = "Python bindings for 0MQ" -optional = false -python-versions = ">=3.7" -files = [ - {file = "pyzmq-26.2.0-cp310-cp310-macosx_10_15_universal2.whl", hash = "sha256:ddf33d97d2f52d89f6e6e7ae66ee35a4d9ca6f36eda89c24591b0c40205a3629"}, - {file = "pyzmq-26.2.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:dacd995031a01d16eec825bf30802fceb2c3791ef24bcce48fa98ce40918c27b"}, - {file = "pyzmq-26.2.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:89289a5ee32ef6c439086184529ae060c741334b8970a6855ec0b6ad3ff28764"}, - {file = "pyzmq-26.2.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5506f06d7dc6ecf1efacb4a013b1f05071bb24b76350832c96449f4a2d95091c"}, - {file = "pyzmq-26.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8ea039387c10202ce304af74def5021e9adc6297067f3441d348d2b633e8166a"}, - {file = "pyzmq-26.2.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:a2224fa4a4c2ee872886ed00a571f5e967c85e078e8e8c2530a2fb01b3309b88"}, - {file = "pyzmq-26.2.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:28ad5233e9c3b52d76196c696e362508959741e1a005fb8fa03b51aea156088f"}, - {file = "pyzmq-26.2.0-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:1c17211bc037c7d88e85ed8b7d8f7e52db6dc8eca5590d162717c654550f7282"}, - {file = "pyzmq-26.2.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:b8f86dd868d41bea9a5f873ee13bf5551c94cf6bc51baebc6f85075971fe6eea"}, - {file = "pyzmq-26.2.0-cp310-cp310-win32.whl", hash = "sha256:46a446c212e58456b23af260f3d9fb785054f3e3653dbf7279d8f2b5546b21c2"}, - {file = "pyzmq-26.2.0-cp310-cp310-win_amd64.whl", hash = "sha256:49d34ab71db5a9c292a7644ce74190b1dd5a3475612eefb1f8be1d6961441971"}, - {file = "pyzmq-26.2.0-cp310-cp310-win_arm64.whl", hash = "sha256:bfa832bfa540e5b5c27dcf5de5d82ebc431b82c453a43d141afb1e5d2de025fa"}, - {file = "pyzmq-26.2.0-cp311-cp311-macosx_10_15_universal2.whl", hash = "sha256:8f7e66c7113c684c2b3f1c83cdd3376103ee0ce4c49ff80a648643e57fb22218"}, - {file = "pyzmq-26.2.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:3a495b30fc91db2db25120df5847d9833af237546fd59170701acd816ccc01c4"}, - {file = "pyzmq-26.2.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:77eb0968da535cba0470a5165468b2cac7772cfb569977cff92e240f57e31bef"}, - {file = "pyzmq-26.2.0-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6ace4f71f1900a548f48407fc9be59c6ba9d9aaf658c2eea6cf2779e72f9f317"}, - {file = "pyzmq-26.2.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:92a78853d7280bffb93df0a4a6a2498cba10ee793cc8076ef797ef2f74d107cf"}, - {file = "pyzmq-26.2.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:689c5d781014956a4a6de61d74ba97b23547e431e9e7d64f27d4922ba96e9d6e"}, - {file = "pyzmq-26.2.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:0aca98bc423eb7d153214b2df397c6421ba6373d3397b26c057af3c904452e37"}, - {file = "pyzmq-26.2.0-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:1f3496d76b89d9429a656293744ceca4d2ac2a10ae59b84c1da9b5165f429ad3"}, - {file = "pyzmq-26.2.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:5c2b3bfd4b9689919db068ac6c9911f3fcb231c39f7dd30e3138be94896d18e6"}, - {file = "pyzmq-26.2.0-cp311-cp311-win32.whl", hash = "sha256:eac5174677da084abf378739dbf4ad245661635f1600edd1221f150b165343f4"}, - {file = "pyzmq-26.2.0-cp311-cp311-win_amd64.whl", hash = "sha256:5a509df7d0a83a4b178d0f937ef14286659225ef4e8812e05580776c70e155d5"}, - {file = "pyzmq-26.2.0-cp311-cp311-win_arm64.whl", hash = "sha256:c0e6091b157d48cbe37bd67233318dbb53e1e6327d6fc3bb284afd585d141003"}, - {file = "pyzmq-26.2.0-cp312-cp312-macosx_10_15_universal2.whl", hash = "sha256:ded0fc7d90fe93ae0b18059930086c51e640cdd3baebdc783a695c77f123dcd9"}, - {file = "pyzmq-26.2.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:17bf5a931c7f6618023cdacc7081f3f266aecb68ca692adac015c383a134ca52"}, - {file = "pyzmq-26.2.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:55cf66647e49d4621a7e20c8d13511ef1fe1efbbccf670811864452487007e08"}, - {file = "pyzmq-26.2.0-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4661c88db4a9e0f958c8abc2b97472e23061f0bc737f6f6179d7a27024e1faa5"}, - {file = "pyzmq-26.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ea7f69de383cb47522c9c208aec6dd17697db7875a4674c4af3f8cfdac0bdeae"}, - {file = "pyzmq-26.2.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:7f98f6dfa8b8ccaf39163ce872bddacca38f6a67289116c8937a02e30bbe9711"}, - {file = "pyzmq-26.2.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:e3e0210287329272539eea617830a6a28161fbbd8a3271bf4150ae3e58c5d0e6"}, - {file = "pyzmq-26.2.0-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:6b274e0762c33c7471f1a7471d1a2085b1a35eba5cdc48d2ae319f28b6fc4de3"}, - {file = "pyzmq-26.2.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:29c6a4635eef69d68a00321e12a7d2559fe2dfccfa8efae3ffb8e91cd0b36a8b"}, - {file = "pyzmq-26.2.0-cp312-cp312-win32.whl", hash = "sha256:989d842dc06dc59feea09e58c74ca3e1678c812a4a8a2a419046d711031f69c7"}, - {file = "pyzmq-26.2.0-cp312-cp312-win_amd64.whl", hash = "sha256:2a50625acdc7801bc6f74698c5c583a491c61d73c6b7ea4dee3901bb99adb27a"}, - {file = "pyzmq-26.2.0-cp312-cp312-win_arm64.whl", hash = "sha256:4d29ab8592b6ad12ebbf92ac2ed2bedcfd1cec192d8e559e2e099f648570e19b"}, - {file = "pyzmq-26.2.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:9dd8cd1aeb00775f527ec60022004d030ddc51d783d056e3e23e74e623e33726"}, - {file = "pyzmq-26.2.0-cp313-cp313-macosx_10_15_universal2.whl", hash = "sha256:28c812d9757fe8acecc910c9ac9dafd2ce968c00f9e619db09e9f8f54c3a68a3"}, - {file = "pyzmq-26.2.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4d80b1dd99c1942f74ed608ddb38b181b87476c6a966a88a950c7dee118fdf50"}, - {file = "pyzmq-26.2.0-cp313-cp313-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:8c997098cc65e3208eca09303630e84d42718620e83b733d0fd69543a9cab9cb"}, - {file = "pyzmq-26.2.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7ad1bc8d1b7a18497dda9600b12dc193c577beb391beae5cd2349184db40f187"}, - {file = "pyzmq-26.2.0-cp313-cp313-manylinux_2_28_x86_64.whl", hash = "sha256:bea2acdd8ea4275e1278350ced63da0b166421928276c7c8e3f9729d7402a57b"}, - {file = "pyzmq-26.2.0-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:23f4aad749d13698f3f7b64aad34f5fc02d6f20f05999eebc96b89b01262fb18"}, - {file = "pyzmq-26.2.0-cp313-cp313-musllinux_1_1_i686.whl", hash = "sha256:a4f96f0d88accc3dbe4a9025f785ba830f968e21e3e2c6321ccdfc9aef755115"}, - {file = "pyzmq-26.2.0-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:ced65e5a985398827cc9276b93ef6dfabe0273c23de8c7931339d7e141c2818e"}, - {file = "pyzmq-26.2.0-cp313-cp313-win32.whl", hash = "sha256:31507f7b47cc1ead1f6e86927f8ebb196a0bab043f6345ce070f412a59bf87b5"}, - {file = "pyzmq-26.2.0-cp313-cp313-win_amd64.whl", hash = "sha256:70fc7fcf0410d16ebdda9b26cbd8bf8d803d220a7f3522e060a69a9c87bf7bad"}, - {file = "pyzmq-26.2.0-cp313-cp313-win_arm64.whl", hash = "sha256:c3789bd5768ab5618ebf09cef6ec2b35fed88709b104351748a63045f0ff9797"}, - {file = "pyzmq-26.2.0-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:034da5fc55d9f8da09015d368f519478a52675e558c989bfcb5cf6d4e16a7d2a"}, - {file = "pyzmq-26.2.0-cp313-cp313t-macosx_10_15_universal2.whl", hash = "sha256:c92d73464b886931308ccc45b2744e5968cbaade0b1d6aeb40d8ab537765f5bc"}, - {file = "pyzmq-26.2.0-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:794a4562dcb374f7dbbfb3f51d28fb40123b5a2abadee7b4091f93054909add5"}, - {file = "pyzmq-26.2.0-cp313-cp313t-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:aee22939bb6075e7afededabad1a56a905da0b3c4e3e0c45e75810ebe3a52672"}, - {file = "pyzmq-26.2.0-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2ae90ff9dad33a1cfe947d2c40cb9cb5e600d759ac4f0fd22616ce6540f72797"}, - {file = "pyzmq-26.2.0-cp313-cp313t-manylinux_2_28_x86_64.whl", hash = "sha256:43a47408ac52647dfabbc66a25b05b6a61700b5165807e3fbd40063fcaf46386"}, - {file = "pyzmq-26.2.0-cp313-cp313t-musllinux_1_1_aarch64.whl", hash = "sha256:25bf2374a2a8433633c65ccb9553350d5e17e60c8eb4de4d92cc6bd60f01d306"}, - {file = "pyzmq-26.2.0-cp313-cp313t-musllinux_1_1_i686.whl", hash = "sha256:007137c9ac9ad5ea21e6ad97d3489af654381324d5d3ba614c323f60dab8fae6"}, - {file = "pyzmq-26.2.0-cp313-cp313t-musllinux_1_1_x86_64.whl", hash = "sha256:470d4a4f6d48fb34e92d768b4e8a5cc3780db0d69107abf1cd7ff734b9766eb0"}, - {file = "pyzmq-26.2.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:3b55a4229ce5da9497dd0452b914556ae58e96a4381bb6f59f1305dfd7e53fc8"}, - {file = "pyzmq-26.2.0-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:9cb3a6460cdea8fe8194a76de8895707e61ded10ad0be97188cc8463ffa7e3a8"}, - {file = "pyzmq-26.2.0-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:8ab5cad923cc95c87bffee098a27856c859bd5d0af31bd346035aa816b081fe1"}, - {file = "pyzmq-26.2.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9ed69074a610fad1c2fda66180e7b2edd4d31c53f2d1872bc2d1211563904cd9"}, - {file = "pyzmq-26.2.0-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:cccba051221b916a4f5e538997c45d7d136a5646442b1231b916d0164067ea27"}, - {file = "pyzmq-26.2.0-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:0eaa83fc4c1e271c24eaf8fb083cbccef8fde77ec8cd45f3c35a9a123e6da097"}, - {file = "pyzmq-26.2.0-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:9edda2df81daa129b25a39b86cb57dfdfe16f7ec15b42b19bfac503360d27a93"}, - {file = "pyzmq-26.2.0-cp37-cp37m-win32.whl", hash = "sha256:ea0eb6af8a17fa272f7b98d7bebfab7836a0d62738e16ba380f440fceca2d951"}, - {file = "pyzmq-26.2.0-cp37-cp37m-win_amd64.whl", hash = "sha256:4ff9dc6bc1664bb9eec25cd17506ef6672d506115095411e237d571e92a58231"}, - {file = "pyzmq-26.2.0-cp38-cp38-macosx_10_15_universal2.whl", hash = "sha256:2eb7735ee73ca1b0d71e0e67c3739c689067f055c764f73aac4cc8ecf958ee3f"}, - {file = "pyzmq-26.2.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:1a534f43bc738181aa7cbbaf48e3eca62c76453a40a746ab95d4b27b1111a7d2"}, - {file = "pyzmq-26.2.0-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:aedd5dd8692635813368e558a05266b995d3d020b23e49581ddd5bbe197a8ab6"}, - {file = "pyzmq-26.2.0-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:8be4700cd8bb02cc454f630dcdf7cfa99de96788b80c51b60fe2fe1dac480289"}, - {file = "pyzmq-26.2.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1fcc03fa4997c447dce58264e93b5aa2d57714fbe0f06c07b7785ae131512732"}, - {file = "pyzmq-26.2.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:402b190912935d3db15b03e8f7485812db350d271b284ded2b80d2e5704be780"}, - {file = "pyzmq-26.2.0-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:8685fa9c25ff00f550c1fec650430c4b71e4e48e8d852f7ddcf2e48308038640"}, - {file = "pyzmq-26.2.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:76589c020680778f06b7e0b193f4b6dd66d470234a16e1df90329f5e14a171cd"}, - {file = "pyzmq-26.2.0-cp38-cp38-win32.whl", hash = "sha256:8423c1877d72c041f2c263b1ec6e34360448decfb323fa8b94e85883043ef988"}, - {file = "pyzmq-26.2.0-cp38-cp38-win_amd64.whl", hash = "sha256:76589f2cd6b77b5bdea4fca5992dc1c23389d68b18ccc26a53680ba2dc80ff2f"}, - {file = "pyzmq-26.2.0-cp39-cp39-macosx_10_15_universal2.whl", hash = "sha256:b1d464cb8d72bfc1a3adc53305a63a8e0cac6bc8c5a07e8ca190ab8d3faa43c2"}, - {file = "pyzmq-26.2.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:4da04c48873a6abdd71811c5e163bd656ee1b957971db7f35140a2d573f6949c"}, - {file = "pyzmq-26.2.0-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:d049df610ac811dcffdc147153b414147428567fbbc8be43bb8885f04db39d98"}, - {file = "pyzmq-26.2.0-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:05590cdbc6b902101d0e65d6a4780af14dc22914cc6ab995d99b85af45362cc9"}, - {file = "pyzmq-26.2.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c811cfcd6a9bf680236c40c6f617187515269ab2912f3d7e8c0174898e2519db"}, - {file = "pyzmq-26.2.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:6835dd60355593de10350394242b5757fbbd88b25287314316f266e24c61d073"}, - {file = "pyzmq-26.2.0-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:bc6bee759a6bddea5db78d7dcd609397449cb2d2d6587f48f3ca613b19410cfc"}, - {file = "pyzmq-26.2.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:c530e1eecd036ecc83c3407f77bb86feb79916d4a33d11394b8234f3bd35b940"}, - {file = "pyzmq-26.2.0-cp39-cp39-win32.whl", hash = "sha256:367b4f689786fca726ef7a6c5ba606958b145b9340a5e4808132cc65759abd44"}, - {file = "pyzmq-26.2.0-cp39-cp39-win_amd64.whl", hash = "sha256:e6fa2e3e683f34aea77de8112f6483803c96a44fd726d7358b9888ae5bb394ec"}, - {file = "pyzmq-26.2.0-cp39-cp39-win_arm64.whl", hash = "sha256:7445be39143a8aa4faec43b076e06944b8f9d0701b669df4af200531b21e40bb"}, - {file = "pyzmq-26.2.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:706e794564bec25819d21a41c31d4df2d48e1cc4b061e8d345d7fb4dd3e94072"}, - {file = "pyzmq-26.2.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8b435f2753621cd36e7c1762156815e21c985c72b19135dac43a7f4f31d28dd1"}, - {file = "pyzmq-26.2.0-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:160c7e0a5eb178011e72892f99f918c04a131f36056d10d9c1afb223fc952c2d"}, - {file = "pyzmq-26.2.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2c4a71d5d6e7b28a47a394c0471b7e77a0661e2d651e7ae91e0cab0a587859ca"}, - {file = "pyzmq-26.2.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:90412f2db8c02a3864cbfc67db0e3dcdbda336acf1c469526d3e869394fe001c"}, - {file = "pyzmq-26.2.0-pp37-pypy37_pp73-macosx_10_9_x86_64.whl", hash = "sha256:2ea4ad4e6a12e454de05f2949d4beddb52460f3de7c8b9d5c46fbb7d7222e02c"}, - {file = "pyzmq-26.2.0-pp37-pypy37_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:fc4f7a173a5609631bb0c42c23d12c49df3966f89f496a51d3eb0ec81f4519d6"}, - {file = "pyzmq-26.2.0-pp37-pypy37_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:878206a45202247781472a2d99df12a176fef806ca175799e1c6ad263510d57c"}, - {file = "pyzmq-26.2.0-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:17c412bad2eb9468e876f556eb4ee910e62d721d2c7a53c7fa31e643d35352e6"}, - {file = "pyzmq-26.2.0-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:0d987a3ae5a71c6226b203cfd298720e0086c7fe7c74f35fa8edddfbd6597eed"}, - {file = "pyzmq-26.2.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:39887ac397ff35b7b775db7201095fc6310a35fdbae85bac4523f7eb3b840e20"}, - {file = "pyzmq-26.2.0-pp38-pypy38_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:fdb5b3e311d4d4b0eb8b3e8b4d1b0a512713ad7e6a68791d0923d1aec433d919"}, - {file = "pyzmq-26.2.0-pp38-pypy38_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:226af7dcb51fdb0109f0016449b357e182ea0ceb6b47dfb5999d569e5db161d5"}, - {file = "pyzmq-26.2.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0bed0e799e6120b9c32756203fb9dfe8ca2fb8467fed830c34c877e25638c3fc"}, - {file = "pyzmq-26.2.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:29c7947c594e105cb9e6c466bace8532dc1ca02d498684128b339799f5248277"}, - {file = "pyzmq-26.2.0-pp39-pypy39_pp73-macosx_10_15_x86_64.whl", hash = "sha256:cdeabcff45d1c219636ee2e54d852262e5c2e085d6cb476d938aee8d921356b3"}, - {file = "pyzmq-26.2.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:35cffef589bcdc587d06f9149f8d5e9e8859920a071df5a2671de2213bef592a"}, - {file = "pyzmq-26.2.0-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:18c8dc3b7468d8b4bdf60ce9d7141897da103c7a4690157b32b60acb45e333e6"}, - {file = "pyzmq-26.2.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7133d0a1677aec369d67dd78520d3fa96dd7f3dcec99d66c1762870e5ea1a50a"}, - {file = "pyzmq-26.2.0-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:6a96179a24b14fa6428cbfc08641c779a53f8fcec43644030328f44034c7f1f4"}, - {file = "pyzmq-26.2.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:4f78c88905461a9203eac9faac157a2a0dbba84a0fd09fd29315db27be40af9f"}, - {file = "pyzmq-26.2.0.tar.gz", hash = "sha256:070672c258581c8e4f640b5159297580a9974b026043bd4ab0470be9ed324f1f"}, -] - -[package.dependencies] -cffi = {version = "*", markers = "implementation_name == \"pypy\""} - -[[package]] -name = "referencing" -version = "0.35.1" -description = "JSON Referencing + Python" -optional = false -python-versions = ">=3.8" -files = [ - {file = "referencing-0.35.1-py3-none-any.whl", hash = "sha256:eda6d3234d62814d1c64e305c1331c9a3a6132da475ab6382eaa997b21ee75de"}, - {file = "referencing-0.35.1.tar.gz", hash = "sha256:25b42124a6c8b632a425174f24087783efb348a6f1e0008e63cd4466fedf703c"}, -] - -[package.dependencies] -attrs = ">=22.2.0" -rpds-py = ">=0.7.0" - -[[package]] -name = "requests" -version = "2.32.3" -description = "Python HTTP for Humans." -optional = false -python-versions = ">=3.8" -files = [ - {file = "requests-2.32.3-py3-none-any.whl", hash = "sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6"}, - {file = "requests-2.32.3.tar.gz", hash = "sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760"}, -] - -[package.dependencies] -certifi = ">=2017.4.17" -charset-normalizer = ">=2,<4" -idna = ">=2.5,<4" -urllib3 = ">=1.21.1,<3" - -[package.extras] -socks = ["PySocks (>=1.5.6,!=1.5.7)"] -use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"] - -[[package]] -name = "rfc3339-validator" -version = "0.1.4" -description = "A pure python RFC3339 validator" -optional = false -python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" -files = [ - {file = "rfc3339_validator-0.1.4-py2.py3-none-any.whl", hash = "sha256:24f6ec1eda14ef823da9e36ec7113124b39c04d50a4d3d3a3c2859577e7791fa"}, - {file = "rfc3339_validator-0.1.4.tar.gz", hash = "sha256:138a2abdf93304ad60530167e51d2dfb9549521a836871b88d7f4695d0022f6b"}, -] - -[package.dependencies] -six = "*" - -[[package]] -name = "rfc3986-validator" -version = "0.1.1" -description = "Pure python rfc3986 validator" -optional = false -python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" -files = [ - {file = "rfc3986_validator-0.1.1-py2.py3-none-any.whl", hash = "sha256:2f235c432ef459970b4306369336b9d5dbdda31b510ca1e327636e01f528bfa9"}, - {file = "rfc3986_validator-0.1.1.tar.gz", hash = "sha256:3d44bde7921b3b9ec3ae4e3adca370438eccebc676456449b145d533b240d055"}, -] - -[[package]] -name = "rpds-py" -version = "0.20.0" -description = "Python bindings to Rust's persistent data structures (rpds)" -optional = false -python-versions = ">=3.8" -files = [ - {file = "rpds_py-0.20.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:3ad0fda1635f8439cde85c700f964b23ed5fc2d28016b32b9ee5fe30da5c84e2"}, - {file = "rpds_py-0.20.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9bb4a0d90fdb03437c109a17eade42dfbf6190408f29b2744114d11586611d6f"}, - {file = "rpds_py-0.20.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c6377e647bbfd0a0b159fe557f2c6c602c159fc752fa316572f012fc0bf67150"}, - {file = "rpds_py-0.20.0-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:eb851b7df9dda52dc1415ebee12362047ce771fc36914586b2e9fcbd7d293b3e"}, - {file = "rpds_py-0.20.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1e0f80b739e5a8f54837be5d5c924483996b603d5502bfff79bf33da06164ee2"}, - {file = "rpds_py-0.20.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5a8c94dad2e45324fc74dce25e1645d4d14df9a4e54a30fa0ae8bad9a63928e3"}, - {file = "rpds_py-0.20.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f8e604fe73ba048c06085beaf51147eaec7df856824bfe7b98657cf436623daf"}, - {file = "rpds_py-0.20.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:df3de6b7726b52966edf29663e57306b23ef775faf0ac01a3e9f4012a24a4140"}, - {file = "rpds_py-0.20.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:cf258ede5bc22a45c8e726b29835b9303c285ab46fc7c3a4cc770736b5304c9f"}, - {file = "rpds_py-0.20.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:55fea87029cded5df854ca7e192ec7bdb7ecd1d9a3f63d5c4eb09148acf4a7ce"}, - {file = "rpds_py-0.20.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:ae94bd0b2f02c28e199e9bc51485d0c5601f58780636185660f86bf80c89af94"}, - {file = "rpds_py-0.20.0-cp310-none-win32.whl", hash = "sha256:28527c685f237c05445efec62426d285e47a58fb05ba0090a4340b73ecda6dee"}, - {file = "rpds_py-0.20.0-cp310-none-win_amd64.whl", hash = "sha256:238a2d5b1cad28cdc6ed15faf93a998336eb041c4e440dd7f902528b8891b399"}, - {file = "rpds_py-0.20.0-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:ac2f4f7a98934c2ed6505aead07b979e6f999389f16b714448fb39bbaa86a489"}, - {file = "rpds_py-0.20.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:220002c1b846db9afd83371d08d239fdc865e8f8c5795bbaec20916a76db3318"}, - {file = "rpds_py-0.20.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8d7919548df3f25374a1f5d01fbcd38dacab338ef5f33e044744b5c36729c8db"}, - {file = "rpds_py-0.20.0-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:758406267907b3781beee0f0edfe4a179fbd97c0be2e9b1154d7f0a1279cf8e5"}, - {file = "rpds_py-0.20.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3d61339e9f84a3f0767b1995adfb171a0d00a1185192718a17af6e124728e0f5"}, - {file = "rpds_py-0.20.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1259c7b3705ac0a0bd38197565a5d603218591d3f6cee6e614e380b6ba61c6f6"}, - {file = "rpds_py-0.20.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5c1dc0f53856b9cc9a0ccca0a7cc61d3d20a7088201c0937f3f4048c1718a209"}, - {file = "rpds_py-0.20.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:7e60cb630f674a31f0368ed32b2a6b4331b8350d67de53c0359992444b116dd3"}, - {file = "rpds_py-0.20.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:dbe982f38565bb50cb7fb061ebf762c2f254ca3d8c20d4006878766e84266272"}, - {file = "rpds_py-0.20.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:514b3293b64187172bc77c8fb0cdae26981618021053b30d8371c3a902d4d5ad"}, - {file = "rpds_py-0.20.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:d0a26ffe9d4dd35e4dfdd1e71f46401cff0181c75ac174711ccff0459135fa58"}, - {file = "rpds_py-0.20.0-cp311-none-win32.whl", hash = "sha256:89c19a494bf3ad08c1da49445cc5d13d8fefc265f48ee7e7556839acdacf69d0"}, - {file = "rpds_py-0.20.0-cp311-none-win_amd64.whl", hash = "sha256:c638144ce971df84650d3ed0096e2ae7af8e62ecbbb7b201c8935c370df00a2c"}, - {file = "rpds_py-0.20.0-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:a84ab91cbe7aab97f7446652d0ed37d35b68a465aeef8fc41932a9d7eee2c1a6"}, - {file = "rpds_py-0.20.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:56e27147a5a4c2c21633ff8475d185734c0e4befd1c989b5b95a5d0db699b21b"}, - {file = "rpds_py-0.20.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2580b0c34583b85efec8c5c5ec9edf2dfe817330cc882ee972ae650e7b5ef739"}, - {file = "rpds_py-0.20.0-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:b80d4a7900cf6b66bb9cee5c352b2d708e29e5a37fe9bf784fa97fc11504bf6c"}, - {file = "rpds_py-0.20.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:50eccbf054e62a7b2209b28dc7a22d6254860209d6753e6b78cfaeb0075d7bee"}, - {file = "rpds_py-0.20.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:49a8063ea4296b3a7e81a5dfb8f7b2d73f0b1c20c2af401fb0cdf22e14711a96"}, - {file = "rpds_py-0.20.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ea438162a9fcbee3ecf36c23e6c68237479f89f962f82dae83dc15feeceb37e4"}, - {file = "rpds_py-0.20.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:18d7585c463087bddcfa74c2ba267339f14f2515158ac4db30b1f9cbdb62c8ef"}, - {file = "rpds_py-0.20.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:d4c7d1a051eeb39f5c9547e82ea27cbcc28338482242e3e0b7768033cb083821"}, - {file = "rpds_py-0.20.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:e4df1e3b3bec320790f699890d41c59d250f6beda159ea3c44c3f5bac1976940"}, - {file = "rpds_py-0.20.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:2cf126d33a91ee6eedc7f3197b53e87a2acdac63602c0f03a02dd69e4b138174"}, - {file = "rpds_py-0.20.0-cp312-none-win32.whl", hash = "sha256:8bc7690f7caee50b04a79bf017a8d020c1f48c2a1077ffe172abec59870f1139"}, - {file = "rpds_py-0.20.0-cp312-none-win_amd64.whl", hash = "sha256:0e13e6952ef264c40587d510ad676a988df19adea20444c2b295e536457bc585"}, - {file = "rpds_py-0.20.0-cp313-cp313-macosx_10_12_x86_64.whl", hash = "sha256:aa9a0521aeca7d4941499a73ad7d4f8ffa3d1affc50b9ea11d992cd7eff18a29"}, - {file = "rpds_py-0.20.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:4a1f1d51eccb7e6c32ae89243cb352389228ea62f89cd80823ea7dd1b98e0b91"}, - {file = "rpds_py-0.20.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8a86a9b96070674fc88b6f9f71a97d2c1d3e5165574615d1f9168ecba4cecb24"}, - {file = "rpds_py-0.20.0-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:6c8ef2ebf76df43f5750b46851ed1cdf8f109d7787ca40035fe19fbdc1acc5a7"}, - {file = "rpds_py-0.20.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b74b25f024b421d5859d156750ea9a65651793d51b76a2e9238c05c9d5f203a9"}, - {file = "rpds_py-0.20.0-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:57eb94a8c16ab08fef6404301c38318e2c5a32216bf5de453e2714c964c125c8"}, - {file = "rpds_py-0.20.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e1940dae14e715e2e02dfd5b0f64a52e8374a517a1e531ad9412319dc3ac7879"}, - {file = "rpds_py-0.20.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:d20277fd62e1b992a50c43f13fbe13277a31f8c9f70d59759c88f644d66c619f"}, - {file = "rpds_py-0.20.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:06db23d43f26478303e954c34c75182356ca9aa7797d22c5345b16871ab9c45c"}, - {file = "rpds_py-0.20.0-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:b2a5db5397d82fa847e4c624b0c98fe59d2d9b7cf0ce6de09e4d2e80f8f5b3f2"}, - {file = "rpds_py-0.20.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:5a35df9f5548fd79cb2f52d27182108c3e6641a4feb0f39067911bf2adaa3e57"}, - {file = "rpds_py-0.20.0-cp313-none-win32.whl", hash = "sha256:fd2d84f40633bc475ef2d5490b9c19543fbf18596dcb1b291e3a12ea5d722f7a"}, - {file = "rpds_py-0.20.0-cp313-none-win_amd64.whl", hash = "sha256:9bc2d153989e3216b0559251b0c260cfd168ec78b1fac33dd485750a228db5a2"}, - {file = "rpds_py-0.20.0-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:f2fbf7db2012d4876fb0d66b5b9ba6591197b0f165db8d99371d976546472a24"}, - {file = "rpds_py-0.20.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:1e5f3cd7397c8f86c8cc72d5a791071431c108edd79872cdd96e00abd8497d29"}, - {file = "rpds_py-0.20.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ce9845054c13696f7af7f2b353e6b4f676dab1b4b215d7fe5e05c6f8bb06f965"}, - {file = "rpds_py-0.20.0-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:c3e130fd0ec56cb76eb49ef52faead8ff09d13f4527e9b0c400307ff72b408e1"}, - {file = "rpds_py-0.20.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4b16aa0107ecb512b568244ef461f27697164d9a68d8b35090e9b0c1c8b27752"}, - {file = "rpds_py-0.20.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:aa7f429242aae2947246587d2964fad750b79e8c233a2367f71b554e9447949c"}, - {file = "rpds_py-0.20.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:af0fc424a5842a11e28956e69395fbbeab2c97c42253169d87e90aac2886d751"}, - {file = "rpds_py-0.20.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:b8c00a3b1e70c1d3891f0db1b05292747f0dbcfb49c43f9244d04c70fbc40eb8"}, - {file = "rpds_py-0.20.0-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:40ce74fc86ee4645d0a225498d091d8bc61f39b709ebef8204cb8b5a464d3c0e"}, - {file = "rpds_py-0.20.0-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:4fe84294c7019456e56d93e8ababdad5a329cd25975be749c3f5f558abb48253"}, - {file = "rpds_py-0.20.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:338ca4539aad4ce70a656e5187a3a31c5204f261aef9f6ab50e50bcdffaf050a"}, - {file = "rpds_py-0.20.0-cp38-none-win32.whl", hash = "sha256:54b43a2b07db18314669092bb2de584524d1ef414588780261e31e85846c26a5"}, - {file = "rpds_py-0.20.0-cp38-none-win_amd64.whl", hash = "sha256:a1862d2d7ce1674cffa6d186d53ca95c6e17ed2b06b3f4c476173565c862d232"}, - {file = "rpds_py-0.20.0-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:3fde368e9140312b6e8b6c09fb9f8c8c2f00999d1823403ae90cc00480221b22"}, - {file = "rpds_py-0.20.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:9824fb430c9cf9af743cf7aaf6707bf14323fb51ee74425c380f4c846ea70789"}, - {file = "rpds_py-0.20.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:11ef6ce74616342888b69878d45e9f779b95d4bd48b382a229fe624a409b72c5"}, - {file = "rpds_py-0.20.0-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:c52d3f2f82b763a24ef52f5d24358553e8403ce05f893b5347098014f2d9eff2"}, - {file = "rpds_py-0.20.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9d35cef91e59ebbeaa45214861874bc6f19eb35de96db73e467a8358d701a96c"}, - {file = "rpds_py-0.20.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d72278a30111e5b5525c1dd96120d9e958464316f55adb030433ea905866f4de"}, - {file = "rpds_py-0.20.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b4c29cbbba378759ac5786730d1c3cb4ec6f8ababf5c42a9ce303dc4b3d08cda"}, - {file = "rpds_py-0.20.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:6632f2d04f15d1bd6fe0eedd3b86d9061b836ddca4c03d5cf5c7e9e6b7c14580"}, - {file = "rpds_py-0.20.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:d0b67d87bb45ed1cd020e8fbf2307d449b68abc45402fe1a4ac9e46c3c8b192b"}, - {file = "rpds_py-0.20.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:ec31a99ca63bf3cd7f1a5ac9fe95c5e2d060d3c768a09bc1d16e235840861420"}, - {file = "rpds_py-0.20.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:22e6c9976e38f4d8c4a63bd8a8edac5307dffd3ee7e6026d97f3cc3a2dc02a0b"}, - {file = "rpds_py-0.20.0-cp39-none-win32.whl", hash = "sha256:569b3ea770c2717b730b61998b6c54996adee3cef69fc28d444f3e7920313cf7"}, - {file = "rpds_py-0.20.0-cp39-none-win_amd64.whl", hash = "sha256:e6900ecdd50ce0facf703f7a00df12374b74bbc8ad9fe0f6559947fb20f82364"}, - {file = "rpds_py-0.20.0-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:617c7357272c67696fd052811e352ac54ed1d9b49ab370261a80d3b6ce385045"}, - {file = "rpds_py-0.20.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:9426133526f69fcaba6e42146b4e12d6bc6c839b8b555097020e2b78ce908dcc"}, - {file = "rpds_py-0.20.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:deb62214c42a261cb3eb04d474f7155279c1a8a8c30ac89b7dcb1721d92c3c02"}, - {file = "rpds_py-0.20.0-pp310-pypy310_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:fcaeb7b57f1a1e071ebd748984359fef83ecb026325b9d4ca847c95bc7311c92"}, - {file = "rpds_py-0.20.0-pp310-pypy310_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d454b8749b4bd70dd0a79f428731ee263fa6995f83ccb8bada706e8d1d3ff89d"}, - {file = "rpds_py-0.20.0-pp310-pypy310_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d807dc2051abe041b6649681dce568f8e10668e3c1c6543ebae58f2d7e617855"}, - {file = "rpds_py-0.20.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c3c20f0ddeb6e29126d45f89206b8291352b8c5b44384e78a6499d68b52ae511"}, - {file = "rpds_py-0.20.0-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:b7f19250ceef892adf27f0399b9e5afad019288e9be756d6919cb58892129f51"}, - {file = "rpds_py-0.20.0-pp310-pypy310_pp73-musllinux_1_2_aarch64.whl", hash = "sha256:4f1ed4749a08379555cebf4650453f14452eaa9c43d0a95c49db50c18b7da075"}, - {file = "rpds_py-0.20.0-pp310-pypy310_pp73-musllinux_1_2_i686.whl", hash = "sha256:dcedf0b42bcb4cfff4101d7771a10532415a6106062f005ab97d1d0ab5681c60"}, - {file = "rpds_py-0.20.0-pp310-pypy310_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:39ed0d010457a78f54090fafb5d108501b5aa5604cc22408fc1c0c77eac14344"}, - {file = "rpds_py-0.20.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:bb273176be34a746bdac0b0d7e4e2c467323d13640b736c4c477881a3220a989"}, - {file = "rpds_py-0.20.0-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:f918a1a130a6dfe1d7fe0f105064141342e7dd1611f2e6a21cd2f5c8cb1cfb3e"}, - {file = "rpds_py-0.20.0-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:f60012a73aa396be721558caa3a6fd49b3dd0033d1675c6d59c4502e870fcf0c"}, - {file = "rpds_py-0.20.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3d2b1ad682a3dfda2a4e8ad8572f3100f95fad98cb99faf37ff0ddfe9cbf9d03"}, - {file = "rpds_py-0.20.0-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:614fdafe9f5f19c63ea02817fa4861c606a59a604a77c8cdef5aa01d28b97921"}, - {file = "rpds_py-0.20.0-pp39-pypy39_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:fa518bcd7600c584bf42e6617ee8132869e877db2f76bcdc281ec6a4113a53ab"}, - {file = "rpds_py-0.20.0-pp39-pypy39_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f0475242f447cc6cb8a9dd486d68b2ef7fbee84427124c232bff5f63b1fe11e5"}, - {file = "rpds_py-0.20.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f90a4cd061914a60bd51c68bcb4357086991bd0bb93d8aa66a6da7701370708f"}, - {file = "rpds_py-0.20.0-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:def7400461c3a3f26e49078302e1c1b38f6752342c77e3cf72ce91ca69fb1bc1"}, - {file = "rpds_py-0.20.0-pp39-pypy39_pp73-musllinux_1_2_aarch64.whl", hash = "sha256:65794e4048ee837494aea3c21a28ad5fc080994dfba5b036cf84de37f7ad5074"}, - {file = "rpds_py-0.20.0-pp39-pypy39_pp73-musllinux_1_2_i686.whl", hash = "sha256:faefcc78f53a88f3076b7f8be0a8f8d35133a3ecf7f3770895c25f8813460f08"}, - {file = "rpds_py-0.20.0-pp39-pypy39_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:5b4f105deeffa28bbcdff6c49b34e74903139afa690e35d2d9e3c2c2fba18cec"}, - {file = "rpds_py-0.20.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:fdfc3a892927458d98f3d55428ae46b921d1f7543b89382fdb483f5640daaec8"}, - {file = "rpds_py-0.20.0.tar.gz", hash = "sha256:d72a210824facfdaf8768cf2d7ca25a042c30320b3020de2fa04640920d4e121"}, -] - -[[package]] -name = "seaborn" -version = "0.13.2" -description = "Statistical data visualization" -optional = false -python-versions = ">=3.8" -files = [ - {file = "seaborn-0.13.2-py3-none-any.whl", hash = "sha256:636f8336facf092165e27924f223d3c62ca560b1f2bb5dff7ab7fad265361987"}, - {file = "seaborn-0.13.2.tar.gz", hash = "sha256:93e60a40988f4d65e9f4885df477e2fdaff6b73a9ded434c1ab356dd57eefff7"}, -] - -[package.dependencies] -matplotlib = ">=3.4,<3.6.1 || >3.6.1" -numpy = ">=1.20,<1.24.0 || >1.24.0" -pandas = ">=1.2" - -[package.extras] -dev = ["flake8", "flit", "mypy", "pandas-stubs", "pre-commit", "pytest", "pytest-cov", "pytest-xdist"] -docs = ["ipykernel", "nbconvert", "numpydoc", "pydata_sphinx_theme (==0.10.0rc2)", "pyyaml", "sphinx (<6.0.0)", "sphinx-copybutton", "sphinx-design", "sphinx-issues"] -stats = ["scipy (>=1.7)", "statsmodels (>=0.12)"] - -[[package]] -name = "send2trash" -version = "1.8.3" -description = "Send file to trash natively under Mac OS X, Windows and Linux" -optional = false -python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7" -files = [ - {file = "Send2Trash-1.8.3-py3-none-any.whl", hash = "sha256:0c31227e0bd08961c7665474a3d1ef7193929fedda4233843689baa056be46c9"}, - {file = "Send2Trash-1.8.3.tar.gz", hash = "sha256:b18e7a3966d99871aefeb00cfbcfdced55ce4871194810fc71f4aa484b953abf"}, -] - -[package.extras] -nativelib = ["pyobjc-framework-Cocoa", "pywin32"] -objc = ["pyobjc-framework-Cocoa"] -win32 = ["pywin32"] - -[[package]] -name = "setuptools" -version = "74.0.0" -description = "Easily download, build, install, upgrade, and uninstall Python packages" -optional = false -python-versions = ">=3.8" -files = [ - {file = "setuptools-74.0.0-py3-none-any.whl", hash = "sha256:0274581a0037b638b9fc1c6883cc71c0210865aaa76073f7882376b641b84e8f"}, - {file = "setuptools-74.0.0.tar.gz", hash = "sha256:a85e96b8be2b906f3e3e789adec6a9323abf79758ecfa3065bd740d81158b11e"}, -] - -[package.extras] -check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)", "ruff (>=0.5.2)"] -core = ["importlib-metadata (>=6)", "importlib-resources (>=5.10.2)", "jaraco.text (>=3.7)", "more-itertools (>=8.8)", "packaging (>=24)", "platformdirs (>=2.6.2)", "tomli (>=2.0.1)", "wheel (>=0.43.0)"] -cover = ["pytest-cov"] -doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "pyproject-hooks (!=1.1)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier", "towncrier (<24.7)"] -enabler = ["pytest-enabler (>=2.2)"] -test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "jaraco.test", "packaging (>=23.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-home (>=0.5)", "pytest-perf", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel (>=0.44.0)"] -type = ["importlib-metadata (>=7.0.2)", "jaraco.develop (>=7.21)", "mypy (==1.11.*)", "pytest-mypy"] - -[[package]] -name = "six" -version = "1.16.0" -description = "Python 2 and 3 compatibility utilities" -optional = false -python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*" -files = [ - {file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"}, - {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"}, -] - -[[package]] -name = "sniffio" -version = "1.3.1" -description = "Sniff out which async library your code is running under" -optional = false -python-versions = ">=3.7" -files = [ - {file = "sniffio-1.3.1-py3-none-any.whl", hash = "sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2"}, - {file = "sniffio-1.3.1.tar.gz", hash = "sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc"}, -] - -[[package]] -name = "soupsieve" -version = "2.6" -description = "A modern CSS selector implementation for Beautiful Soup." -optional = false -python-versions = ">=3.8" -files = [ - {file = "soupsieve-2.6-py3-none-any.whl", hash = "sha256:e72c4ff06e4fb6e4b5a9f0f55fe6e81514581fca1515028625d0f299c602ccc9"}, - {file = "soupsieve-2.6.tar.gz", hash = "sha256:e2e68417777af359ec65daac1057404a3c8a5455bb8abc36f1a9866ab1a51abb"}, -] - -[[package]] -name = "stack-data" -version = "0.6.3" -description = "Extract data from python stack frames and tracebacks for informative displays" -optional = false -python-versions = "*" -files = [ - {file = "stack_data-0.6.3-py3-none-any.whl", hash = "sha256:d5558e0c25a4cb0853cddad3d77da9891a08cb85dd9f9f91b9f8cd66e511e695"}, - {file = "stack_data-0.6.3.tar.gz", hash = "sha256:836a778de4fec4dcd1dcd89ed8abff8a221f58308462e1c4aa2a3cf30148f0b9"}, -] - -[package.dependencies] -asttokens = ">=2.1.0" -executing = ">=1.2.0" -pure-eval = "*" - -[package.extras] -tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"] - -[[package]] -name = "terminado" -version = "0.18.1" -description = "Tornado websocket backend for the Xterm.js Javascript terminal emulator library." -optional = false -python-versions = ">=3.8" -files = [ - {file = "terminado-0.18.1-py3-none-any.whl", hash = "sha256:a4468e1b37bb318f8a86514f65814e1afc977cf29b3992a4500d9dd305dcceb0"}, - {file = "terminado-0.18.1.tar.gz", hash = "sha256:de09f2c4b85de4765f7714688fff57d3e75bad1f909b589fde880460c753fd2e"}, -] - -[package.dependencies] -ptyprocess = {version = "*", markers = "os_name != \"nt\""} -pywinpty = {version = ">=1.1.0", markers = "os_name == \"nt\""} -tornado = ">=6.1.0" - -[package.extras] -docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"] -test = ["pre-commit", "pytest (>=7.0)", "pytest-timeout"] -typing = ["mypy (>=1.6,<2.0)", "traitlets (>=5.11.1)"] - -[[package]] -name = "tinycss2" -version = "1.3.0" -description = "A tiny CSS parser" -optional = false -python-versions = ">=3.8" -files = [ - {file = "tinycss2-1.3.0-py3-none-any.whl", hash = "sha256:54a8dbdffb334d536851be0226030e9505965bb2f30f21a4a82c55fb2a80fae7"}, - {file = "tinycss2-1.3.0.tar.gz", hash = "sha256:152f9acabd296a8375fbca5b84c961ff95971fcfc32e79550c8df8e29118c54d"}, -] - -[package.dependencies] -webencodings = ">=0.4" - -[package.extras] -doc = ["sphinx", "sphinx_rtd_theme"] -test = ["pytest", "ruff"] - -[[package]] -name = "tornado" -version = "6.4.1" -description = "Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed." -optional = false -python-versions = ">=3.8" -files = [ - {file = "tornado-6.4.1-cp38-abi3-macosx_10_9_universal2.whl", hash = "sha256:163b0aafc8e23d8cdc3c9dfb24c5368af84a81e3364745ccb4427669bf84aec8"}, - {file = "tornado-6.4.1-cp38-abi3-macosx_10_9_x86_64.whl", hash = "sha256:6d5ce3437e18a2b66fbadb183c1d3364fb03f2be71299e7d10dbeeb69f4b2a14"}, - {file = "tornado-6.4.1-cp38-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e2e20b9113cd7293f164dc46fffb13535266e713cdb87bd2d15ddb336e96cfc4"}, - {file = "tornado-6.4.1-cp38-abi3-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:8ae50a504a740365267b2a8d1a90c9fbc86b780a39170feca9bcc1787ff80842"}, - {file = "tornado-6.4.1-cp38-abi3-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:613bf4ddf5c7a95509218b149b555621497a6cc0d46ac341b30bd9ec19eac7f3"}, - {file = "tornado-6.4.1-cp38-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:25486eb223babe3eed4b8aecbac33b37e3dd6d776bc730ca14e1bf93888b979f"}, - {file = "tornado-6.4.1-cp38-abi3-musllinux_1_2_i686.whl", hash = "sha256:454db8a7ecfcf2ff6042dde58404164d969b6f5d58b926da15e6b23817950fc4"}, - {file = "tornado-6.4.1-cp38-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:a02a08cc7a9314b006f653ce40483b9b3c12cda222d6a46d4ac63bb6c9057698"}, - {file = "tornado-6.4.1-cp38-abi3-win32.whl", hash = "sha256:d9a566c40b89757c9aa8e6f032bcdb8ca8795d7c1a9762910c722b1635c9de4d"}, - {file = "tornado-6.4.1-cp38-abi3-win_amd64.whl", hash = "sha256:b24b8982ed444378d7f21d563f4180a2de31ced9d8d84443907a0a64da2072e7"}, - {file = "tornado-6.4.1.tar.gz", hash = "sha256:92d3ab53183d8c50f8204a51e6f91d18a15d5ef261e84d452800d4ff6fc504e9"}, -] - -[[package]] -name = "traitlets" -version = "5.14.3" -description = "Traitlets Python configuration system" -optional = false -python-versions = ">=3.8" -files = [ - {file = "traitlets-5.14.3-py3-none-any.whl", hash = "sha256:b74e89e397b1ed28cc831db7aea759ba6640cb3de13090ca145426688ff1ac4f"}, - {file = "traitlets-5.14.3.tar.gz", hash = "sha256:9ed0579d3502c94b4b3732ac120375cda96f923114522847de4b3bb98b96b6b7"}, -] - -[package.extras] -docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"] -test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,<8.2)", "pytest-mock", "pytest-mypy-testing"] - -[[package]] -name = "types-python-dateutil" -version = "2.9.0.20240821" -description = "Typing stubs for python-dateutil" -optional = false -python-versions = ">=3.8" -files = [ - {file = "types-python-dateutil-2.9.0.20240821.tar.gz", hash = "sha256:9649d1dcb6fef1046fb18bebe9ea2aa0028b160918518c34589a46045f6ebd98"}, - {file = "types_python_dateutil-2.9.0.20240821-py3-none-any.whl", hash = "sha256:f5889fcb4e63ed4aaa379b44f93c32593d50b9a94c9a60a0c854d8cc3511cd57"}, -] - -[[package]] -name = "tzdata" -version = "2024.1" -description = "Provider of IANA time zone data" -optional = false -python-versions = ">=2" -files = [ - {file = "tzdata-2024.1-py2.py3-none-any.whl", hash = "sha256:9068bc196136463f5245e51efda838afa15aaeca9903f49050dfa2679db4d252"}, - {file = "tzdata-2024.1.tar.gz", hash = "sha256:2674120f8d891909751c38abcdfd386ac0a5a1127954fbc332af6b5ceae07efd"}, -] - -[[package]] -name = "uri-template" -version = "1.3.0" -description = "RFC 6570 URI Template Processor" -optional = false -python-versions = ">=3.7" -files = [ - {file = "uri-template-1.3.0.tar.gz", hash = "sha256:0e00f8eb65e18c7de20d595a14336e9f337ead580c70934141624b6d1ffdacc7"}, - {file = "uri_template-1.3.0-py3-none-any.whl", hash = "sha256:a44a133ea12d44a0c0f06d7d42a52d71282e77e2f937d8abd5655b8d56fc1363"}, -] - -[package.extras] -dev = ["flake8", "flake8-annotations", "flake8-bandit", "flake8-bugbear", "flake8-commas", "flake8-comprehensions", "flake8-continuation", "flake8-datetimez", "flake8-docstrings", "flake8-import-order", "flake8-literal", "flake8-modern-annotations", "flake8-noqa", "flake8-pyproject", "flake8-requirements", "flake8-typechecking-import", "flake8-use-fstring", "mypy", "pep8-naming", "types-PyYAML"] - -[[package]] -name = "urllib3" -version = "2.2.2" -description = "HTTP library with thread-safe connection pooling, file post, and more." -optional = false -python-versions = ">=3.8" -files = [ - {file = "urllib3-2.2.2-py3-none-any.whl", hash = "sha256:a448b2f64d686155468037e1ace9f2d2199776e17f0a46610480d311f73e3472"}, - {file = "urllib3-2.2.2.tar.gz", hash = "sha256:dd505485549a7a552833da5e6063639d0d177c04f23bc3864e41e5dc5f612168"}, -] - -[package.extras] -brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"] -h2 = ["h2 (>=4,<5)"] -socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] -zstd = ["zstandard (>=0.18.0)"] - -[[package]] -name = "wcwidth" -version = "0.2.13" -description = "Measures the displayed width of unicode strings in a terminal" -optional = false -python-versions = "*" -files = [ - {file = "wcwidth-0.2.13-py2.py3-none-any.whl", hash = "sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859"}, - {file = "wcwidth-0.2.13.tar.gz", hash = "sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5"}, -] - -[[package]] -name = "webcolors" -version = "24.8.0" -description = "A library for working with the color formats defined by HTML and CSS." -optional = false -python-versions = ">=3.8" -files = [ - {file = "webcolors-24.8.0-py3-none-any.whl", hash = "sha256:fc4c3b59358ada164552084a8ebee637c221e4059267d0f8325b3b560f6c7f0a"}, - {file = "webcolors-24.8.0.tar.gz", hash = "sha256:08b07af286a01bcd30d583a7acadf629583d1f79bfef27dd2c2c5c263817277d"}, -] - -[package.extras] -docs = ["furo", "sphinx", "sphinx-copybutton", "sphinx-inline-tabs", "sphinx-notfound-page", "sphinxext-opengraph"] -tests = ["coverage[toml]"] - -[[package]] -name = "webencodings" -version = "0.5.1" -description = "Character encoding aliases for legacy web content" -optional = false -python-versions = "*" -files = [ - {file = "webencodings-0.5.1-py2.py3-none-any.whl", hash = "sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78"}, - {file = "webencodings-0.5.1.tar.gz", hash = "sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923"}, -] - -[[package]] -name = "websocket-client" -version = "1.8.0" -description = "WebSocket client for Python with low level API options" -optional = false -python-versions = ">=3.8" -files = [ - {file = "websocket_client-1.8.0-py3-none-any.whl", hash = "sha256:17b44cc997f5c498e809b22cdf2d9c7a9e71c02c8cc2b6c56e7c2d1239bfa526"}, - {file = "websocket_client-1.8.0.tar.gz", hash = "sha256:3239df9f44da632f96012472805d40a23281a991027ce11d2f45a6f24ac4c3da"}, -] - -[package.extras] -docs = ["Sphinx (>=6.0)", "myst-parser (>=2.0.0)", "sphinx-rtd-theme (>=1.1.0)"] -optional = ["python-socks", "wsaccel"] -test = ["websockets"] - -[[package]] -name = "widgetsnbextension" -version = "4.0.13" -description = "Jupyter interactive widgets for Jupyter Notebook" -optional = false -python-versions = ">=3.7" -files = [ - {file = "widgetsnbextension-4.0.13-py3-none-any.whl", hash = "sha256:74b2692e8500525cc38c2b877236ba51d34541e6385eeed5aec15a70f88a6c71"}, - {file = "widgetsnbextension-4.0.13.tar.gz", hash = "sha256:ffcb67bc9febd10234a362795f643927f4e0c05d9342c727b65d2384f8feacb6"}, -] - -[metadata] -lock-version = "2.0" -python-versions = ">=3.12,<3.13" -content-hash = "f7d94f328597c3d10f6d8965a849ad80164ac561953ee5049ac3312a4eba362a" diff --git a/pyproject.toml b/pyproject.toml deleted file mode 100644 index 8ebc8f3..0000000 --- a/pyproject.toml +++ /dev/null @@ -1,20 +0,0 @@ -[tool.poetry] -name = "analysis" -version = "0.1.0" -description = "" -authors = ["Paul Harrison <paul@harrison.sh>"] -readme = "README.md" -packages = [{include = "analysis", from = "src"}] - -[tool.poetry.dependencies] -python = ">=3.12,<3.13" -jupyter = "^1.1.1" -numpy = "^2.1.0" -pandas = "^2.2.2" -matplotlib = "^3.9.2" -seaborn = "^0.13.2" -python-dotenv = "^1.0.1" - -[build-system] -requires = ["poetry-core"] -build-backend = "poetry.core.masonry.api" diff --git a/src/analysis/__init__.py b/src/analysis/__init__.py deleted file mode 100644 index e69de29..0000000 --- a/src/analysis/__init__.py +++ /dev/null diff --git a/tests/__init__.py b/tests/__init__.py deleted file mode 100644 index e69de29..0000000 --- a/tests/__init__.py +++ /dev/null |