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)\n", "\n", "# AISSAI Anomaly detection workshop 2024: Adaptive Anomaly Detection Tutorial\n", "\n", "This tutorial shows how to use the [coniferest](https://github.com/snad-space/coniferest) package, which was developed by the [SNAD team](https://snad.space/).\n", "We show how to use it to build and run active anomaly discovery pipelines, both on a toy dataset and a dataset of astronomical objects.\n", "\n", "Full documentation can be found at [ReadTheDocs](https://coniferest.readthedocs.io/en/latest/).\n", "\n", "\n", "Developers of `conferest`:\n", "- [Matwey Kornilov (MSU)](https://matwey.name)\n", "- [Vladimir Korolev](https://www.linkedin.com/in/vladimir-korolev-a4195b86/)\n", "- [Konstantin Malanchev (LINCC Frameworks / CMU)](https://homb.it), tutorial author\n", "\n", "The tutorial is co-authored by [Emille Ishida (LPC)](https://www.emilleishida.com)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**[Run this NB in Google Colab](https://colab.research.google.com/github/snad-space/coniferest/blob/master/docs/pre_executed/AISSAI_2024_tutorial.ipynb)**" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Uncomment to install the dependencies" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "tyVOFKz0NY__", "outputId": "902d68c3-6886-485e-8c0f-dc2e6716b59e" }, "outputs": [], "source": [ "# %pip install -U coniferest" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Example: toy data" ] }, { "cell_type": "markdown", "metadata": { "id": "lou0d8MOAwsb" }, "source": [ "### Lets start by constructing some toy data" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 385 }, "id": "WcpLUfFlA2fX", "outputId": "b09f16af-a77c-40b2-ed12-19013c90b7cd" }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import matplotlib.pyplot as plt\n", "from coniferest.datasets import non_anomalous_outliers\n", "from coniferest.label import Label\n", "import numpy as np\n", "\n", "data_ex1, labels_ex1 = non_anomalous_outliers(\n", " # Number of regular objects\n", " inliers=1024,\n", " # Number of objects per each of three \"outlier\" classes\n", " outliers=32,\n", " # Classification of \"outlier\" classes\n", " regions=[Label.REGULAR, Label.REGULAR, Label.ANOMALY],\n", " seed=42\n", ")\n", "\n", "# Plot the data\n", "plt.scatter(data_ex1[:,0], data_ex1[:,1], marker='.', color='#22114C')\n", "plt.xlabel(\"x\", fontsize=14)\n", "plt.ylabel(\"y\", fontsize=14)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "RtFWzAR6lGBW", "outputId": "c7f74d32-ee39-4773-e32b-e50916a74b87" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(1120, 2)\n" ] }, { "data": { "text/plain": [ "array([[ 0.38697802, 0.21943922],\n", " [ 0.42929896, 0.34868401],\n", " [ 0.04708867, 0.48781118],\n", " ...,\n", " [ 1.05489829, 0.07260984],\n", " [ 0.90689265, -0.09991449],\n", " [ 1.00368055, 0.01730071]])" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "print(data_ex1.shape)\n", "data_ex1" ] }, { "cell_type": "markdown", "metadata": { "id": "Fo9-hStiOM-M" }, "source": [ "### Non-active anomaly detection¶\n", "\n", "Let’s run Isolation Forest model (see [Liu *et al.* 2008](https://doi.org/10.1109/ICDM.2008.17)) on the data we just created:" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "id": "N4w9BLSaN-FP" }, "outputs": [], "source": [ "from coniferest.datasets import single_outlier\n", "from coniferest.isoforest import IsolationForest\n", "\n", "# declare and fit an isolation forest\n", "model_iso = IsolationForest(random_seed=0)\n", "model_iso.fit(data_ex1)\n", "\n", "# evaluate classification\n", "scores_iso = model_iso.score_samples(data_ex1)" ] }, { "cell_type": "markdown", "metadata": { "id": "UdbWrCGjSW1k" }, "source": [ "\n", "\n", "---\n", "\n", "The coniferest implementation of isolation forest is up to 100x faster than the scikit-learn one. See performance tests [here](https://coniferest.readthedocs.io/en/latest/isoforest.html).\n", "\n", "---\n", "\n" ] }, { "cell_type": "markdown", "metadata": { "id": "5ecNQwifDCWo" }, "source": [ "#### Check the distribution of anomaly scores" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 458 }, "id": "t4zVY6RFC-WG", "outputId": "de16c30a-9a96-4817-fa6a-e0fa4a879d75" }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure()\n", "plt.hist(scores_iso, bins=25)\n", "plt.xlabel('anomaly scores', fontsize=14)\n", "plt.ylabel('N', fontsize=14)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Define number of objects to investigate" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 454 }, "id": "l2MijO0zCX7o", "outputId": "76ed022a-c4ba-4164-f492-a7bbdc5c6551" }, "outputs": [ { "data": { "image/png": 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wCuUYG/q2ZCKKDGZf44I9k13fijc2NI0uOOrfvz8KCgqcbvvkk0/Qv3//MI0ocJGwbBSqMXZLa284Rc1kayKqS/68xgUz56s+tdpoiCJ+We3cuXMoKbmad3L48GEUFRWhRYsWuO666zB16lT89NNP+Mc//gEAeOyxx7Bw4UI8++yzePjhh/HZZ5/h3Xffxfr168N1CbUSCctGoRjjoDuz8EXBTqfbFEUge0hWUB+HiMgXb69xoayKXZ+KNzY0ER8cFRYW4vbbb9e+V3ODHnzwQSxbtgzHjx/H0aNHtZ937NgR69evx1NPPYU///nPuPbaa/HWW29F3Db++iQcJfELNm7XWoqoJFnCpx9tx6iHOa1MROEX6nIrcs8ZV1ttpP4aUKprfU5yYG+1ALC32lWe6hiFutaSP73aiIjCoTH0s4s0Zt+/G13OEQVXuGotNfRWCEQU+bhxJHIxOKJaCdcff7h36hER+eLtQ5ynliMs6lg/MDiiWgnXDE4k7NQjosbN04e47CFZGDlsKrZsKkLZ8dPYvKkII4dNwY6tu1nUsZ5gzlEAmHN0lZpzJACnwmYMVIiI3DesTHj6fiycv9otF+mFx2vw20GX3e4vtR0KmUUdg8bs+zeDowAwOHJm9MfPwIiocQrH7tVIY7ShJP16Bf/3UpXbsXLfhaxdFERm378jfis/hZ6vF7tIqLVERKEX6q3rDYVRy5Fvj0Thve3JuDfraukZFnUMH+YckVfqi53z2vhULXmQiEgVrt2rkcZTLtKd/Rx1iqRr7wFwtcgj1T3OHNUT9XUq2ujFTrbIWLRgDWeLiMgJt66bo24ocU1HaN6zGYs61hMMjuqB+jwVzRc7IjLLbId68p2OIDVNqcPRkCsuq9UDoZqK9lRHwx/B2KofjHEQUf3H+mPUUHC3WgCCvVstFK0wgtXWo7Zb9cPVXoSIwoO7V6k+Y/uQCBKKQorBmo2qbbFFJmgSNS7qctFX3y7D0rX5DIwoIjHnqB7InZSDLZuKIFtkp9mZ2kxFBzNXqDZb9ZmzREREkYYzR/VAKFph1JfGrPVlHEREDQF7r9UNzhzVE8EupBiK2ahIHgcRUSQTQgCixqn3GjqMAKRoSJIU7uE1OEzIDkCktA+pL4mR9WUcRESRStm3AOL4R263s/eaf9hbLYQiJTgiIqKGQdi+g1I4we129l7zD3erUcRhPSQiImOStTukTmOdb2PvtZBhcET1Anu4ERF5p/ZaY++10GNCNtUL7OFGROSd3HMGe6/VEc4cUb3AekhE1Bj5szVfat5e67kmNU2B1JwlUUKFwRHVC6yHRET1WbBzIoUQEEq109Z8oVSDe6TqB+5WCwB3qwVfbXu4ERGFSih6RHJrfnhwtxpFlFBUCSeixicUu1796RFp9vGldncZ3952aK3HS7XHmaMAcOaIiKjuiUsnoeydDTl9BqTYVm4/D8UMDwDcfMNDKDt+2u325JSW+OrbZQE/vnJkBcShpdr3UqeHIXcYGfA4yTfOHBERUYNgNj/Hnxkef5jNifT38bk1v/7iVn4iIqrXxHevOuXniCPvQBx5B1LboZB0+Tmh2vVqtkekv4/Prfn1F2eOiIioXjObnxOqXa9mcyL9fXxuza+/OHNERET1mto6wzU/x7V1htkZnkD07ZfmsyBtKB+f6hZnjoiIqN4zk58T7l2v4X58Ch7uVgsAd6sREdUtcf6Hq/k5F48DSjWXochvZt+/uaxGRET1nj4QUvN0iEKFy2pEREREOgyOGqlQVJElIiJqCLis1gi5VnE9eeIstmwqqnUVWSIiooaAM0eNUKiqyBIRETUEDI4aoVBVkSUiImoIGkRwtGjRInTo0AFNmjRBVlYWvv76a6/Hv/baa+jWrRuaNm2K1NRUPPXUU7h06VIdjbZ2gpErFKoqskRERA1BxAdHa9aswcSJE5GXl4edO3eiV69eGDx4ME6cOGF4/MqVKzFlyhTk5eVh3759WLJkCdasWYPnnnuujkfuPzVXaMumIpQdP43Nm4owcthUvwOk3Ek5kAAtQGIVVyIioqsiPjh69dVX8bvf/Q5jx45FWloaFi9ejGbNmuHvf/+74fFfffUVbrnlFowcORIdOnTAL3/5S4wYMcLrbFNVVRVsNpvTVzgEK1eIVVyJiIg8i+jgqLq6Gjt27EB2drZ2myzLyM7OxtatWw3vc/PNN2PHjh1aMHTo0CFs2LABQ4cONTweAObOnYuEhATtKzU1NbgXYlIwc4XUPkFffbsMS9fmMzAiIiK6IqKDo1OnTsFutyM5Odnp9uTkZJSWlhreZ+TIkZg1axYGDBiA6OhoXH/99Rg4cKDXZbWpU6eioqJC+/rxxx+Deh1mRWquEGsqERFRJIno4CgQmzZtwpw5c/DXv/4VO3fuxLp167B+/XrMnj3b431iY2NhtVqdvsIhEnOFgpUnRUREVFciOjhq1aoVLBYLysrKnG4vKytDmzZtDO/z/PPPY8yYMRg/fjzS09Nx7733Ys6cOZg7dy4URTG8T30RiblCrKlERESRJqIrZMfExCAzMxMFBQW45557AACKoqCgoAATJkwwvM+FCxcgy84xocViAQAIIUI63mBQc4UiBWsqERFRpIno4AgAJk6ciAcffBB9+/bFTTfdhNdeew3nz5/H2LFjAQAPPPAA2rVrh7lz5wIAhg0bhldffRW9e/dGVlYWSkpK8Pzzz2PYsGFakETB0y2tPU6eOAtFFyBFQp4UERE1XhEfHOXk5ODkyZOYMWMGSktLkZGRgY0bN2pJ2kePHnWaKZo+fTokScL06dPx008/4ZprrsGwYcPw4osvhusSGrTcSTnYsqkIskWGYlciIk+KiIgaN0lEwlpSPWOz2ZCQkICKioqwJWdHksJtxVi0YA32F/+AbmntMeHp++t1nhQRETVMZt+/GRwFgMERERFR5DH7/h3Ru9WIiIiIgo3BEREREZEOgyMiIiIiHQZHRERERDoMjoiIiIh0GBwRERER6TA4IiIiItJhcERERESkw+CIiIiISIfBEREREZEOgyMiIiIiHQZHRERERDoMjoiIiIh0GBwRERER6TA4IiIiItJhcERERESkw+CIiIiISIfBEREREZEOgyMiIiIiHQZHRERERDoMjoiIiIh0GBwRERER6TA4IiIiItJhcERERESkw+CIiIiISIfBEREREZEOgyMiIiIiHQZHRERERDoMjoiIiIh0GBwRERER6TA4IiIiItJhcERERESkw+CIiIiISIfBEREREZEOgyMiIiIiHQZHRERERDoNIjhatGgROnTogCZNmiArKwtff/211+PLy8uRm5uLlJQUxMbGomvXrtiwYUMdjZaIiIjqs6hwD6C21qxZg4kTJ2Lx4sXIysrCa6+9hsGDB2P//v1o3bq12/HV1dW444470Lp1a/zzn/9Eu3bt8MMPPyAxMbHuB09ERET1jiSEEOEeRG1kZWXhZz/7GRYuXAgAUBQFqamp+P3vf48pU6a4Hb948WK88sor+O677xAdHW3qMaqqqlBVVaV9b7PZkJqaioqKClit1uBcCBEREYWUzWZDQkKCz/fviF5Wq66uxo4dO5Cdna3dJssysrOzsXXrVsP7fPDBB+jfvz9yc3ORnJyMnj17Ys6cObDb7R4fZ+7cuUhISNC+UlNTg34tREREVD9EdHB06tQp2O12JCcnO92enJyM0tJSw/scOnQI//znP2G327FhwwY8//zzWLBgAV544QWPjzN16lRUVFRoXz/++GNQr4OIiIjqj4jPOfKXoiho3bo1/va3v8FisSAzMxM//fQTXnnlFeTl5RneJzY2FrGxsXU8UiIiIgqHiA6OWrVqBYvFgrKyMqfby8rK0KZNG8P7pKSkIDo6GhaLRbutR48eKC0tRXV1NWJiYkI6ZiIiIqrfInpZLSYmBpmZmSgoKNBuUxQFBQUF6N+/v+F9brnlFpSUlEBRFO22AwcOICUlhYERERERRXZwBAATJ07Em2++ibfffhv79u3D448/jvPnz2Ps2LEAgAceeABTp07Vjn/88cdx5swZ/PGPf8SBAwewfv16zJkzB7m5ueG6BCIiIqpHInpZDQBycnJw8uRJzJgxA6WlpcjIyMDGjRu1JO2jR49Clq/GgKmpqfj444/x1FNP4cYbb0S7du3wxz/+EZMnTw7XJRAREVE9EvF1jsLBbJ0EIiIiqj8aRZ0jIiIiomBjcERERESkw+CIiIiISIfBEREREZEOgyMiIiIiHQZHRERERDoMjoiIiIh0GBwRERER6TA4IiIiItIJODgaMmQI3nvvPdjt9mCOh4iIiCisAg6OPv74Y/zmN7/Btddei6lTp6KkpCSY4yIiIiIKi4CDo5KSEjz77LOQZRkvvfQSunXrhkGDBmH16tWorq4O5hiJiIiI6kytG8/a7XZ8+OGHeOutt7Bx40YoioKkpCQ88MADGD9+PNLS0oI11nqDjWeJiIgiT501nrVYLPjVr36Ff/3rXzh69ChmzZqFxMRE/PnPf0Z6ejoGDBiAt99+G5cuXartQ1EjVLitGGOH5+HmGx7C2OF5KNxWHO4h1blIeg68jTWSroOIGrdazxy5unz5Mt577z089dRTOHbsmONBJAlJSUmYPHkyJk2aBFmO7E1ynDmqG4XbijFy2FQAgN2uQLbIkACs/Ndc9O1Xf2ckC7cVY9GCNdhf/AO6pbVH7qQc9O2XhuVLNuC1uStQUV6JhMR4PDl1FEaPG+r1HHuKSnD2tA2SBOj/UvNfeVy7r6fH82dswbpuo9/XjHmPYt3qAuzecUA7NtDfZSjHT0QNn9n376AFRwcOHMBbb72Ff/zjHzh58iRiY2MxfPhwPPjgg9i5cycWLlyIH3/8ERMnTsQrr7wSjIcMGwZHdWPs8Dxs2VQEu13RbpMtMgYMzMDStflhHJk712BGliUoitCCgIce/R8s+ev7bvfLf+VxdL+hg9Mb/qA7szBryhsA4HTtepIErF7/EgCYDiCDFWx6ClCMfl+S7IjqjF5lXH+X+ucQAoAEpGd01s6vjl8IAUW5esLO3VJRabvAYImIfKqT4OjSpUtYu3Yt3nrrLWzevBlCCHTv3h2PPPIIHnzwQSQlJWnHVlVV4Y477sD+/ftRVlYW6EPWCwyOQq9wWzHG3Dsd1VU1bj9LamlFekZnpzdnAG5v2Ea3BfLG6Wu2wjXocCVbZMiShMuX3ctexFub4cL5S9p9ZYsMxa5owZU3tw3qAwCmA8hgBJuu1yrJEoQikNTSivPnLhr+vryJiY1GUgsr4q3NULL/R/cDJADC8TuHAMrP2gwDLfVaImFmkYjCJ+TB0YQJE7By5UpUVFQgOjoa9913Hx599FH8/Oc/93ifF198ETNmzIj42kgMjkJLfQM2CjTUmQhZlrVgAgIABCRJ8nqbtxkVT8HP8iUbkPfM606PL0uS03mMgg5/WCxyQPdNTmkJACg7ftrwZ199u8zptptveMj0sUYKtxXjsdEv4uwZm99jrSv1dWaRiOqHkCdk//Wvf0XLli0xb948/Pe//8XKlSu9BkYAMHDgQMyYMSPQh6QGoHBbMe67YxJ6pNyHHin34b47Jrkl5i5asMbj/YXiWKJRgwnFrkBRFCiK8HmbMDi3Goht2VSEsuOnsXlTEUYOm4rCbcUo3FaMmc++7vb4druCMfdO15KK9xf/EHBgBHheOvOlTduW6JbW3hEM6sgWGd3S2rsd3y2tvSO4dHGi9Izh70FPfZ7qc2AEOH7P+4t/CPcwiCjCBTxzVFBQgEGDBgV7PBGBM0eBKdxWjBF3T3FbLpJlGas+vDoT42mGIxhcZ0k85ckkJsbj/Hnvy0TqbFTPjM7YU1QCpRYBkitJAiRZ9nrOXpld8dzscY48HDgCA/0ylz5fB3CfBXO7HlnCqg/nafk9+tm0ivJz2FtUYiqQU5fKzp6xeX7+riyXBRtnjojIm5DPHDXWwIgCt2jBGsM8GkVxnolp07ZlSB7faEbFaNZHKML7G/sV6mwU4HivV2dwZFmCJAFR0RaP901qYUW71NYef/7wE/diwMAMJKe0RExstOExpcdOo2+/NKz811wMGJhxJS9HQJKAs6dt+KJgJ3KGTsbyJRsAAAUbt0Nynzi6ej2KwKIFawxn03bvOGAqMJJkCf0GpOOrb5eh34B0t1ktTYCBkeTtAgBACEx4+v7ATk5EdEVk76mniOJtuaO6qgabNxVhxN1TcGDf0Vo9jmyRIcuyeyDg8sZZuK3Y7wRiV4pdQemx01qAkpzSEgNu7401G15Gy1aJhveJiY0GJOCnH094PO/B737A0rX5XoOMs2dsGDs8DwCwdG0+0jM6Q5Ikt4TlvGdeR0aHHHxRsNNjMrNqf/EP2tKjfknSLKEIZA/pBwDInZQDCTBcyguEJEuQZQmz5j+OpBbGn/jSe3dBZlaPoDweETVeDI6oTpgJRBy5QgIXL9SuYGhCQhzGPv4rSJLrP28J6iqyOjtSUV5Zq8eSZAlt2rbUlqDatG2JivJzeHT0Czh9stzwPtVVNTh72nvujj6QVIMM1wBJDSjVHKn9xT943OFWabtg6nq6pbX3mkPlK9CRZQmffrQNAPDdt0fQrHkTCB+77kwTAnkvPYZRDw/1OptGRFRbDI4o5IIViJhVUXEOf//re3Bbu5GgLRs9NvpF2K8EY7UhFIE9uw5qS1C7dxzA7h0HcPa0zXDrvhmyLDkt//Xtl4YZ8x5FQkKc27H6RHOjJGx/H3fC0/d7TPLuldkVt97eG0ktrUhqYTVc4lIUgT1FJVp+k9mgzAxJlrXAy59EdCIif0WFewDU8KnLNLUNRMxSl4Fc9xoodgVffbEbXxTsDNpjRUVbtB1svjiWvHw/B5IkIXtIP4wdnqfNRu3ZVeIxX0jdofWXJc8GdG2SJOHGPl0w7YXxyMzqgdxJOdiyqehqzaUriefqz1Vjh+fhy893uc0MlZ+xYf6st/0ehy/6nWiexsh8IyIKBs4cUch5WqZJammFxSJ7TtoNgcs1waux5ciBMV+jKDomyue19srsiryXHkP+5MVOs1GKonh8HHXGpG+/NOS/8rjXpGvX+1ksMtZseAnrPlmgBT76JO/klJYYMDADqz6c55bLkzspx+OSWWVl8GaM9ONVZ4bMjpGIKBAMjijkPC2BpGd0dnqD65XZ1fdupHpEKALXdWhjKriTZAk9enZ0yh1S83eSWlpx26A+mDX/CSQkxuGFaW/CbvccDOm5zpiMHjcUq9e/hHhrM89jkRyP6S2g6NsvDbmTcrQcpIXzV7vVQerbL82xQ85FcLs1XqXYFVSUn9NqULkW7mRgRETBEvTGs40B6xz5R+uJBWhLIBAC6b27oPTYaaeq1PfdMcmpQWl9JssS0nt3wd6iEu3avHn3o5chhHB6U5/w9P3IzOrhswWJkZjYaPQbkK6dQ89RU2oqFMX5XPHWZnhmxkMY9fAQr+f2NJ7O3VLRPK6p9nurKD8X9BpPKlmW0alLO6e2Ivrq5wDYY42I/FLnjWcbEwZH/tN/0tfn0Li29vjDuJdDVgAyUGpei5HklJb4y5JntWs7farccOkuqaUVhQdXeHwMf1qQqM+X0ayP6/N8/txF5+BCduQ9JbZwLxIZ6HgAaMUngyUqyoKV/5qLhfNX+92axVFnSmKPNSJyE/IikET+6NsvTavbk5AYpwVGgGPGxW5XMOf5JSHZbeSoe+TID3JdArP4WBKLiY3GgIEZ6Nwt1fDnF85fBADt2m6+rZfHJURvvG2fV8ffK7Or1/wadbZn8+e7tFylkv0/OuUgKVfar6hFIkfcPcWwbYi/LVECCYwcDWebG/4sPqE5MrN6BNSaxXGNwmsbGiIibxgcUZ3z9Ia3e8cBDLozK2iP07RZrBZMrF7/ElZ9eDW/6bZBffDuRy+jVeskr+dY/v6LWLo2H83jmhr+vNJ2QaszBLjXJDK7i8pTVXA1OFu93pE0/dW3y7B0bb5hfs2iBWsghHDbFehtblhRBOY8vwSAI7gaOzwPN9/wEKqragIq3mgmZUxNBH9jxXT0/lk3yC6PI8uSFkwa5auZoSiCPdaIKGDcyk8hZZQ42y2tvcels4KN25H/yuNee4CZVXWpBn/557NOvcL2FJUAAthTVIKF81cj3trM41h6ZXbVghBvxQXVOkNL1+Zru6iM8oo8KdxWjD27Stxul2UJy99/0XSi8Z6ikoDKJfxn50H07TIKZ0/bIMtSrUouGAVi8dZm6NTlWgDQcpUmPH0/hBCoKD/n9HhqPlpF+TncfMNDjqBRCK9Lm56w5hERBYo5RwFgzpE5rkm96izKjHmPegx+YmKj0Tyuqc8K0maoTUhzJ+U4EsINZlU83leWsXr9PG15ZtvmPV4rfLs2tPWHp/yeXpldse6TBabOUbitGPffNTlkO8UC0blbKua89nvD4M5bwvehgz8BcP5dWSyytlxmhiQBaza8zB1sROTE7Ps3Z44oZIx6dMkWGQUbt6NXZlfDXWnVVTW17nemUosG+luEUpIkpPfujH17D2PWlDecrsGIa0VrT4xm0fr2S/O4zKjOVrneb9CdWSjYuN3pPIsWrDFdZLKulOz/0eN4XP9tAI5g9vTJCrgGRq7HmTFr/hMMjIgoYAyOKGSM3vQVu4Jtm/dg2gvjTW+BD5R0JWjxO7lYOFpg7N5xwNQykzDRCd51puTkibPYsqkIK/81F93S2uPkibNOz4Na8ND1fifKzuCLgp3auNTzWBPj6qwCuT/mPL8ECYlxpgJCRx2jSr+uQ0121z+Gr2VMIiJfmJBNIeMpmba6qgazpryBGfMe9bmLqzbUDvGekp29UQMVM2/UiS2sPt+MjWbR1Fwlb0ncrvdTd4Wp41LPA+HemFYVzsKau3cc0Cp965vkeioMmpAYb/rcV2segcUgiSioGkRwtGjRInTo0AFNmjRBVlYWvv76a1P3W716NSRJwj333BPaATZS6pu+EQFH8nVCYpzP7fS1MWvqGyEtKulpm75+59fY4XnYU1RiOFOyv/gHr60wzMx6KXYFlZXn3WaeLBYZs+Y/gVt/0RtR0ZbgXHAAnEo2KIphQKj+vOU1CV7PJUmOEgDJKS2vPO8Ce4tK3IIvIqLaiPjgaM2aNZg4cSLy8vKwc+dO9OrVC4MHD8aJEye83u/IkSN4+umnceutt9bRSBsf9U3f6I1ZDQyMgoZg8tlL7Ur05i140GZ0rmw5V7e4e9qmry6F6WdMys/Y3LbGu/YKU2sl6bfqm531cr3O5s2bwJoYh08/2obcSTlo2SrR1Hlcde6Wil6ZXQO6ryEBfLP1WyxasAbWxDg0b97E6cclB370cMcrdxfAU8+N1pLfFV3TX/1sHBFRbUR8cPTqq6/id7/7HcaOHYu0tDQsXrwYzZo1w9///neP97Hb7Rg1ahTy8/PRqVOnOhxt42S/7B6gSLKENm1bovyM8a60qCiLW/2bYIqJjXbUO/qFo97Riv9vjmGNHrXmTnJKSwy4vTfG5d6DxMR4SBIgSxKaNW/q1nfMaAlNkhwVpP2pf+Rpi78ZlbYLOHvaps2mtGnb0nS9IFmWtDpQH2/9K56bPc7vx++V2dXj7+/ihSps2VSEs6dtqLS5NKj1sYopyxI+/WgbCrcVG84IqkE3EVFtRHRwVF1djR07diA7O1u7TZZlZGdnY+vWrR7vN2vWLLRu3Rrjxpl70a+qqoLNZnP6InPmPL/EcHu5mjvjKR8mPqF5yBKMZYuMfgPS3WZpPG30SkiMw1ffLkPupBwsW/wBKsorIQRw+bIdlbbz2Pz5LqflHMNkY0VozV71S2dCCKflN9cgq7bpQlpOEhyTZL4KO0qyhITEeKdms/7OxEiShOdmj/P6+wt0tlBRBLZt3oMx9073eAzrGxFRbUX0brVTp07BbrcjOTnZ6fbk5GR89913hvfZvHkzlixZgqKiItOPM3fuXOTn59dmqI2Sp0/3gKPXWOmx04ZvoEktrbiuQ5ug1DpypZ+x0W+R91Q+QH0z1gcJrmNWFAHZImmFID3tPruuQxun+7mWCtDvYPO2xd9fil1B6bHTmDHvUcx89mp9KXXrv9oXTf2vumNMvxPOH0IIbYddKPgq9eBr5yARkS8RHRz5q7KyEmPGjMGbb76JVq1amb7f1KlTMXHiRO17m82G1FTjXlt0lbcZBzWJ2SiISM/ojIryc0Efj75S86OjXzBdEbq6qgYjh02FNTHOY7CiX87JnZSDLZuKtKrOatVnfbPdkyfOOm3JV88BAI+NfhGLl08zDLICoeY2FWzcDlmWr+58EwLylZmimNhoVFfVOG2lV+wKJFlCZcV5vx9TAGjarAkuXrhUq7H7S1/VnIgoUBG9rNaqVStYLBaUlZU53V5WVoY2bdq4Hf/999/jyJEjGDZsGKKiohAVFYV//OMf+OCDDxAVFYXvv//e8HFiY2NhtVqdvsg3b7kfE56+3+sWdm/tOgIhSY4q1rt3HMDuHQe0WSmzS3e+tsu7JlfPmPeolmwsFIHYJjEAnJOHPT3+2TM25AydjF3f7A9ODSjheE49LffFxEbjq2+XISY22r0vmyJw2SBnzBfFrqBJ0xi3ZVNJcuQNuSa5R0VbarVrUd2dN+2F8QGfg4hIFdHBUUxMDDIzM1FQUKDdpigKCgoK0L9/f7fju3fvjj179qCoqEj7+p//+R/cfvvtKCoq4mxQkHmqc6R+uve2hd3ovpIsea3ZoyZZG+08E8JRsTlQil0BJOO8HVmWnJKrly/ZgLxnXteSjYUQuHihyu8cqkqb/zM2RiQJuP+uyTh9shyutRX0QV2gTV6NqDOAq9fPw22D+mjNftdseBl5Lz2GhIQ4SNLVWbPLNXYtcHMEkv5JSIhD3kuPctaIiIIi4nurrVmzBg8++CDeeOMN3HTTTXjttdfw7rvv4rvvvkNycjIeeOABtGvXDnPnzjW8/0MPPYTy8nK8//77ph+TvdXMUbe0q1Ww1ZkhNQAK5L49Mzp7zGO6bVAfLF2bj7HD87B5U1FAsy7x8c1QVW3cwiSphRVPTh2Fgo3btQa2kBxLhGpVZjUwMkPN8TFLXabz937uDwxtFkz/+3B9zgMlXwlijX7PnnqquercLRWHSn5yXnK9sgRp1IRWvRY1X4uIyIjZ9++InjkCgJycHMyfPx8zZsxARkYGioqKsHHjRi1J++jRozh+/HiYR9k4eZsZCvS+z80eZ7hFXJZlbebGqMCgWdbEOMTGRhv+rKK8ErOmvIHcSTkoPLgChSUrUHhwhbbjzZ/ASLbIkCXvM2F6UdEW7bm49fbe6Nwt8FnOKIvF8PehPue+qpb7Wv5KSIz3+Hs26qlmpOz4afclV0nCrPmPY8DADMS4/I5Y44iIginiZ47CgTNHobd8yQa8NncFKsorkZAYjyenjsLocUMBOGYf5jy/BPv2HgYA9OjZEdNeGO/0ZqzuLtv8+a6glgSQLTIGDMzA0rXOuxcLtxUjZ+hkn/eXJAmt27TQeoA9OuoFnPVQ60kvJjYa+46v0773JxAzGsOtv+jt1u9MNXZ4HrZsKvIYwEiS57IHgCO3Sy3S6OrmGx5C2XFz+WT5rzzu1GB3wtP3Qwjh9ffq7bGJiMy+fzeq3WoUGVzf+M+esWnfjx43FH37pWHdJwu8nkOtOF2bJTYjauPcvl1GOS2rmd1dd2OfLk5jf3LqKFNBTo+eHbX/L9xWjFlT3jC1086IEEILfk6WncGXn+1EYgsr0jM6I3dSjs8SAt4CI/lKs19P/NmBN2vKG07LZPolOaPr1udPERHVRsQvq1HD89rcFX7d7k1tltg8qa6qwdnTNpw9Y3NUof58l6n+bbLsvptq9LihyH/lcSS1sEKWJcTHN3NbanO935znl8BuV3wGRvHW5oa3q+UEAEeQIQRw9rQNXxTsRM7Qybhw/qLPYpGeKIpA9pAs7XvXHnOD7sxy/D5MnN91mczbkpyZiuNERGZxWS0AXFYLLn0xxm5p7fHlZ7tg9M9SliUcPPWBx/u5Lg8ZHXfh3EVUVl5wOyaU4q3N0ftn3bSkbV9cr0u9n7qcaCoQu7L8N+jOLKflycuXL7u37PDkSuK2PyRZwq2398bStfluyddqvaeUdtfgpx+99z5UJbW0ovCgIyj2tCQnyxLSe3cBAJQeO+313wIRNW5cVqOI4PoGevLEWcPACHAk+qqBw56iEqcK2mXHT2Pz57uw6sN5Xt8UO3W9Fnt2HQRgvsZR526pjl5lZ2w+qzO77iSbveAJjBw7xNTjqNQlQT31eTJdMftKbaPMrB5OuVqPjX7R1N1lWYIsy37XOBKK0OpbGfWYA2A6MAKA8jM2FG4rRt9+aR4rj6dndMbeohLtsVwrjRMR+YvBEdU517YdQgjnKtEeZix+PXKQ123giiIw/v58vLU6DwC0IKr8jE2rqXPyxFkAEjp1aeez7lFSCysmThuNkWOHaIGFp+BIkiXExTXFxYtVuKzYAcnRPPefKz9F1x7t/XqTNpoR83cXVqcu7dwS1EcOm+ox8HTl+H34n6elz/sJRvsTSbralsWo8rh+cU4fhMkWWbsfEZG/uKwWAC6rBc5snRuLRb6SDyNgscho1rwpoqIsKD9r85oQDKj5LJJTbo2reGszXDh/yePPk1pYsXj5NPTtl+YUWBjNNqm7tzzt4pJlyeeMlspoKUqCo8SAv73m1mx4SXtMXzvQ3MZskZGQEIeKinNOMzWS7LhISXavNSTJEmRdfaP77phkaglQfTxZlnC5xn2mSr8DzWjJUW0F4+1+RERAI6pzRJHFbJ0bu13RZjnsdgWVtvM4e8Z3YAQ4Zj0URfH6GJW2C15/rrbwyOiQg2lPLdTO6yoq2oK4uGaQZcnj2BRFYM7zS3wPHMZLUb5al3jy2OgXUbitGID/szgSgKeeG+VWa0iWJOS/8oRhLSShCHTs3M707JTr491w4/Vu1+i6A01dcvzq22VYujYfQgiUG5RCkHzsmiMi8obBEdWpYHWaryuVtgso2f+j54azikBl5QWf+UtqTSY9151chduKjfuf6VqXuAYPTZs18fiYZ8/YMHLYVBRuK/YrUIiJjcaqD+dh1MNDDQtxjnrYcw5Vyf4ftcc02x+vV2ZXrcCnp157nixasMawkKZQBHeuEVHAuKwWAC6rBW7s8LygF2aMFLcN6qPtovK0fNYzozP2FJW4JR0PGJiB3Ek5brvVjFpp6Onva6ZIpSxLSEiMR0xstNddXz1S7vOYf6U+JgDDGlOSJCE6JsqpeKc+0d6oLQtgXPzz6JFSwyU1/S43IiIVd6tRvTTozix8UbDT8GdqnouZitGeSBKuzCQ4plrMFn+0WOSQz2h9UbATXxTsRK/MrtptrknEwNXmtkKXpJ49pB/69ktDQmKc01gVu+K1YrViV7C/+Af07ZeG+PhmXssYSJJjJqyivFJLXg9k15f6mH9Z8qxTArVKCIGamsvYW1QCIYTHQDF3Uo5TYDTi7qlQlKvnUYNE1x2C6g42IqJAcVmN6lTBxu0eCwA68lxG1/oxZr78OFZ9eHU5KCra4vV42SIHXPQwELt3HMDuHQcMl89Kj53GjHmPOkU7siwhf/Jij8tuXitW63J2np7xoNdxWSwWLUBSx2O3K1q+lH4Z0FP/OVWbti0BOGbCjH7fQhHauY3yrOx2BWPuna4tNy5asMYpMHI9lz9LcUREvnDmiOrU/uIfDJfUYmKjsfz9F5GZ1QNCCMx89nW3N31JkhATG42qS9Uezy8E8H+rPsW6TxZo27h9LeUpdgVCcTSBDecqsxrIrFtd4HTtjk70ji3t3dLa40TZGaeZEm8Uu4KK8nMo3FaM0eOG4ujh41jy1/cNj3UkwbvfvnvHASxfsgGzpryhHecrmDx/7qKpXYm7dxxAUkur4THVVTXYvKkIWzYVwZoY5/EckiQhISHOcCmOiCgQnDmiOtUtrb3HXVcL56/W3sRXr3/JafkJcCzHeAuMVLt3HNB2aQFXWohIktfdXkI4ygaYaWsRTK4zHtlD+hluf1eXqgbdmWUYGBklJav2FJVoSdLPvTDO7XlVH9/i5flRW7eoQYyv4Oz7A/+FEMLcUqWXnXjqLFJlxXnPdxdCa+Wyp6hE+3dERBQoJmQHgAnZgdNqBsE9H0gNENQcl7HD8zzmJ/ly26A+TgUA9Qm/5R5KAkiyhMTEeC3npi7ExEZDURQ0bRKLqJgoQMBjztVtg/oAgNssmBoXGdUeUql5OAmJcW6FMdXnvVnzJh5biwTa5NYMdcbONXcoUK7/joiIVKxzRPVS335p2vZw11wgdZZArc+jtqEIxObPd2n5KurjLl2bj8KDK7B6/UuIMciZEYpATGw0Btze26/Hki0yPE3ctEtt7fW+1VU1uFxjR2XlBa2ZrSd7ikqwbfMetyBFCCCxhVXLsTK6NsWuYPeOA9iyqQhnTzuCQ0URiIq2ID2jM1Z9OA+9f9bd42MnJMa7ze4EK09Lm7ETwmd+mBlqbSh/q4oTEakYHFGd69svDbmTcgyrIQNX6/PEW5sF/BiKIrB5UxFGDpuK5Us2ONUTAoB+A9I9FhzMnZRj+nFiYqMxYGAG1mx4GfmvPI6kFlbIsoT4eEdhyNJjpwK+BldnTxv3dlNnhdTiiEbXpnJd5rpcY9d2jeVOyoEsu99PliXcN2KQW6VsWZIwa/4Thst0/nJUQweio70neps+35VlSCKiQDA4orDw9aleEcJn7zNfFLsC5Upy95ZNRY7mtFcCpkF3ZnksONi3X5pfgZm65Xz0uKEoLFmBVR/OQ1R0FBTFZM5NLRjtzsqdlGPYm84T/SxLeu/OiIq2QJIkREVb0CuzK2a+/DiWLf7/nPOxhEDeS49h1MNDsO6TBR6fL4tFRnJKSy1o9OXihUvmB+6Fa2VtIiJ/MDiikHKtAq3O4mz+fJfX+3nLPfGSe2x4HiGct4krQuC1uStgTYxDQkIcklpaterPV3c5mXuQ6qoaLdkZuJpTVZtaTWZIkoSkllYkJMTBmhhnkIRskLTtIThR7IqWtL23qASXa+xa/s9zs8fh04+2OY7T5znJsnZ74bZij/WTJFnCV98uw+Ll07wmjQedYIVsIgocE7IDwIRsc1yL+6lvuLVJ7o23NsO5ygumeqyZoU/eBaA1NT19shyXLxsv+7mdQ1dVurqqxmtCd0xsNK7r0KbWs2Iq1wKQ+a88joKN292azHp7ztXim7aKc24zXVHRFtgvK4YlDpJTWuIvS57FyGFTPc6QxcRGY9/xdQAc/x7G3DvdY2XtYOqV2RXrPlkQ8schqi9cmzJ7qm7f2LFCNoWda3E/reKzycDI9Q1dtsiIioryWI/IsWwjARCmH0OtTD3n+SXYW1TiNF6zFEWYmimSZQnTX/wdZj672NR5zezecn0aZj77OhJbuNcNUpOvATjleqnBISTj6/aUF6YuW/laHu3Rs6P2/337paHfgHTDliLBZravG1FD4PpBNNDq9nQVl9UoZAJtMtsrsytmzX/CqTaR+iZ++fJlw8AnKtqC1etfwqoP5yIhMd6vx1PsitavK5Q5QrJFxiuzlnms9OwqMTEes+Y/7lftJSGAyzWXDX92ucaOyzV2yLIESYLTcmJ6RmevdaBcqXlO3n7Hsizh1yOynZZV3XK9rlybPzvfklpacdugPkhqafypT5Il5htRo2JUZZ47NmuHM0cUMt3S2uPkibM+ZwmSWli1Rqf66sbqzIQ6TTzh6fvx6KgXDM8RH99cu5/RVnZv1DfqUCdPX66xo7LGc28zVzGx0Rj18FB0S+uARQvWmG7Ye/Fildefq7WN1B1ugCOJ26gPmhFJkmBNjMOL09+CzUNxxnhrM/x2zGDkPfNXbXbrZNkZbNlUhBnzHkXBxu3YX/wD2rRtifPnLuLIoWO4rPhextSP21Plc6Ew34j8F8nLUkYfUrhjs3YYHFHImH3DfWPFdMN2D2ptIieeJhh0t5sNyoCrM1I9enbEnqKSkC/3+OP0qXKMHZ6H3Ek5WLo2H/fdMcmwerYrx3Z874GG6wunWn9q0YI12LZ5j9e8ICGEoybTac9LiRcuXMKSRe85P6YiIMuO/npL1+Zj+ZINyHvmdZ/Xo3LdmeepFU28tRnbh5BfIn1Zyug1jzs2a4fLahQy+oKPnmZzemV29euNLN2gkaksS1oX9sJtxagoP2c6yEnP6Iy8lx4F4F6xuzZkWa51K5LLNXZs/nyX0244M/R5Pp7IV5ae9LsJFy1Yg9xJOXjnvRdgsdRu/PbLxs+loghs27wHy5dswMxnzQdGaj0p/Y7CbmntDZfjKm0X2D6E/BLpy1K5k3I8liahwDA4ojrRPK6p222yLGHaC+P9Oo9rnzRHdWoJE56+X/v0pyZW+6KeI3/yG6bvY0ZUtAVjH/ufoLTbUBQBAWDO80u0vChvemV2xXOzx5k6b5fu7TFy2FS3GlCAY/fegNt7I6mlFVFRta9arVddVWPYWNibpBZWLF2b7xRI507K8ZiwPu2phbUdJjUikb4spf8gmpzS0qA0CfmLy2oUMq5T1e6Md515OpcaIEiyhJjoaNTU1ECWZfTo2RFCCLdPf76EKhH7co0dS/76vsdddf5SW394o35SnPbCeGRm9UCvzK5e7yPJEtatKgDg/GlZtshYtGANlq7N15Y0b77hIZQdD+7uL3+fljZtW7rd1rdfGqKiLYY76kr2/4jCbcURsSRC4dcQlqUM0xAoYJw5opDxFawoioIx90536oHmqnBbMe67YxJyhk7G7h0HtF5kFy9cwuUaO6qrarB7xwHkDJ2Mr77Y7VeQE+pEbE+BkcWPXWFmGBWxfG72OMfSmIfHEopARXmlqU/L3dLa+7WTLRR27ziA5Us2uN1u1O5EFSlLIhR+XJYiVwyOKGTMbOWvrqrRlnNcAyR15slMEjLguSaPJ2oidl2/8Qer7qokSZg1/3EUHlyB3Ek5WDh/Nfp2GYW+nUfhsTEvomdGZ6RndDbM95ItsmEzWaNPy65vHOGS98zrbv9GvOVXRcqSCIUfl6XIFZfVKGTM7hpT7AogAY+NflHb0p87KafWn/y9VYWOirIgPqG54xshTG1h94enAo7SlWraZ8/a/Op/ZkQIgfzJb0AIYNaUNyCEc/HL8rOVkCUJM+Y96vg5ri6dSQCeem4U8ie/oV27bJEBIVBRfg433/CQ03ZmdSebus25ovyc6aDVm5jYaCS1sGqlGl6c/pbX8z70mxlawN2jZ0fcd/8gw+NZ64j8xWUp0mNwRCHjT+0cCGhVptVttNbEuICWvPRvuNaEOHy47gvtZ2q7DUVRcPa0DRXl5wA4drsdPVLqdXu6XtNmTTw2SVWDjLaprfHTjyeu/kByLGddvnz5Sh3v2hMAXpu7AoB75XGhCAiLhIKN292CmwlP3w8hBHpmdHbkXUVZcF2HNjh08CfsLSpx286sV1F+Dt/+53vTY5QtMpo3b4JK2wW32/sNSMfStfko3FaMhfNX4z87vQdcFy9creG0e8cB7N5xwO13IckS5CtJ+kREgWBvtQCwt5p5+sJqalLtf3Ye9Lm0pPb7qqgwvy0fcLwxJl7pc9ambUvs2VUC13Yirv3IZIuMAQMzsHRtPvp2GeU1QHIEPnC82Rs0W42JjXbUTNpVAsmgJYc6m2WmNYhZvnrVJae0xFffLnO6zTVZXrbIEIoCSQq8753RmNRZqryXHr0yy3X1dyFJjl5w3dI6+EjcNy/e2gy9f9bdqZgoEZHK7Ps3c44opPr2S0PupBy0adsS+/Yexr69hyFbfNfPUZfa/Ml1UQOOivJKlB0/jd07DkBRFPcZFZf3fn0SslovyUhMbPSVnwuPXeiTWliRkBhnGBgBV2d3ghYYecgd0v/caHnJsK6LMN/3zhdFEU6J4qMeHooZ8x51Pr8kIX/yG5jz/BKnsdRGpe0CciflMDAiolphcEQhVbitGCPunqLtNKuuqvFYINDVdR3aaEmSngoSRkVb0CuzK5JTWiIxMd7nLIoRfQCROynH8LFkWcby91+8EvgYj0U9T6A95fylzx2SAMNxK3YF2UP6ud1eF2M8f+4iAEduVOG2Ysyf/bbTz8WVGk779h4O6li4S42IaovBEYXUogVrAp6NcCyJAUvX5iO9dxfDYy7X2LFnVwn+suRZxMRGBxQY6bfs9u2XhlUfzkPnbqlaEBRvbYaZLz+KzKweXoMK9Tyh3voeExvttKNm1MNDtaKN8dbmztcnS8ifvNhtl5fRGANpAuuNuhNxxN1TMOLuKW45R8DVquTBfL64S42IaovBEYVM4bZibNu8J/ATSOZmARRFwZznlwQUlHjasnu45CctWDh//hLyJ7+B5Us2eOw5ltTCqp3HsGaKh9mmQDRv3hR/WfKsU8VodadN7591c6qjpK+wrbYJGTs8D4PuzDIc46z5jyMxMT5oY1XsjmVNb0Frj54dncbi86ny8XPuUiOi2mJCdgCYkO2bmvBb2+USNZnYV5VmSZIw8+XHnLas+0p6joqyYMUHc9w6cS9asAZbNhU5jV1LMDZYtpMkCXFxTXH+/EUkJMbjyamj0P2GDk6J6Ht2HQQQnJweWZYgSZJhU0xvz5PFIjuSr2VH5e64+GaIiooCJEeulZrEHIqK2N68+9HLWoXz/cU/oLqqRtu5aKRXZlckJMbhy892Glbafvejl5lzRKbpN43oy1dQw2T2/ZvBUQAYHPk2dnieW4ARiKhoC26+rZepujqyLKFTl2tx9Egp7JftPh9bkiRtdsiuq/9jTYwzvaXfk3hrc/T+WTePwVZtqTvs1PPvKSoBBFBZed6vYpjqNesDrbHD87B5U1FQ6z550iuzK9Z9ssDpNl/BWXJKS/xlybMYcfcUt2Bz9oInMHLskJCMlRoeo12brn8P1LA0qt1qixYtQocOHdCkSRNkZWXh66+/9njsm2++iVtvvRVJSUlISkpCdna21+MpMMFK+FU706szL94oikDJ/h8dSd8mHltdfnLtxH255nKtxgwAlbbzWuXvPVfqBvmjWfMmXn+u2BXsKSrByGFTsfnzXTh72oazZ2x+VwlX7ArsdkXbMQZcrYgdKFl2bgwsy5KHJHfjxsPd0tp7zXu6cP4i/v3hVsNZuGDttqOGrXBbMcYOz8OYe6fDfuVvALj6GsCkfor44GjNmjWYOHEi8vLysHPnTvTq1QuDBw/GiRMnDI/ftGkTRowYgc8//xxbt25FamoqfvnLX+Knn36q45E3bP7m/8Rbm6FXZlfDn6k5K02bxgZreACAps1iDXuLGSUOAyZyYVyoL7QQ/iUcS7KE2NgYjzv0AMf5Ltdcht3uXqogELt3HEDfLqMwdngeAMcnZ0+/D29mL3gCqz6c59SGYfX6l7Dqw3noldkVMbHRiImNRq/Mrli9/iXD5a/cSTmQvTzZlbYLWPLX9w1/phbEJPJEnS3asqnIMIfQqL8gNT4Rv6yWlZWFn/3sZ1i4cCEAR3Juamoqfv/732PKlCk+72+325GUlISFCxfigQceMPWYXFbzTX0BUvN/zJSETmpprfVyllkWi4xbBmaYXj7q3C0V3x/40e9u8oDjumzl5/x+LsrP2Dw+XiAlC8zQLysAjkTu3TsPeB1vUkurU85SMCxfsgF5z7zu9/1kWcLBUx8EZQzUMPla8tcXhaWGp1Esq1VXV2PHjh3Izs7WbpNlGdnZ2di6daupc1y4cAE1NTVo0aKFx2Oqqqpgs9mcvsg710aOSUneg0hJlvyaYant7i9LlMVwV5knlbYLSGzhfyAsW2SkZ3TWnot4azOfgZEsO9qZeHq8qGhLyJaP1NmuOc8vwchhU7H3Si6Tp3Gos0t7dpXg0dEvYOzwPCxfssFpZ5y+jIC6nGH0M72Cjduddt2ZlRDEnXbUMHlb8nct7UGNV0T3Vjt16hTsdjuSk5Odbk9OTsZ3331n6hyTJ09G27ZtnQIsV3PnzkV+Pj9F+EvfyPHmGx7yeqy+55iZ1hpx8U0RFR3leOOWHAUj9+wqASSYmgnq0bOjx4aqe3YddAs+4q3NcPpkhc/zAo7ATYirrTOyh2RpSdOeluz0hBCY8PT9WDh/tdvMlmyR0bRpLCprfJ8nUIpdcfRbg+eq1bIsXakx5fxcffHZTnxRsFOb2XLtz6ZPoi47fhpfFOzUZp70u4QCzVn79chBft+HGhdPDbFjYqPRb0A6W88QgAgPjmpr3rx5WL16NTZt2oQmTTwnwE6dOhUTJ07UvrfZbEhNTa2LITYY3dLa+9weXmm7gPxXHkfBxu2OQKLiPC5fNk4wrrRdwG2D+ji9oapbcrdt3uOxHpFe4bZit07cy5dsMNwVV7L/R1M5R2pvLzXYyh6ShfzJbwAw3x4jLr6ZVi9J37hX7etmJsCqDdklUd2Ip7IG6iyTers67kUL1qCi/JzhjNfZ0zZs3lSkBVF9+6V5fAPz5Zut3/p1PDU+Rn9XEoDl77/IoIg0Eb2s1qpVK1gsFpSVlTndXlZWhjZt2ni97/z58zFv3jz8+9//xo033uj12NjYWFitVqcv8o+jLYf3f26S7Oggv3RtPgoPrsCKD+Z4PX7z57swcthUbWlGDXSSTCx/qTu9XJd1CjZu93gfX/lGkiyh98+6Y+nafHz17TIsXZuPTz9ynM+fWZBK2wUtcNMvTQ4YmIH03p57v5klW2RERVs8XwccM2telzgl8zvD1ARXdTbK0zH6XUKuS55m7d5xwONSHRHgvuTvqRAsNW4RHRzFxMQgMzMTBQUF2m2KoqCgoAD9+/f3eL+XX34Zs2fPxsaNG9G3b9+6GGqj52jLMReWKM//5IQinHaJ9O2Xhs7dPM/QqdWfXbfdtmnb0ud4PG3Zrc0uFVmS3HIVAlkekmRJG5ca8KnBVumx2hdnFIqCDp3aGgYeaqXv52aP876d34+UJ7XnnKJ4fx70u4T0b2D+5pdxGzb54vp3xcCIXEV0cAQAEydOxJtvvom3334b+/btw+OPP47z589j7NixAIAHHngAU6dO1Y5/6aWX8Pzzz+Pvf/87OnTogNLSUpSWluLcuXPhuoQGT03CfWzMi16bzhp1kH/xTxO8nlv/hlq4rRj33THJZ7FIo/uq9zezHGekV2ZXw0+fgbQ0cQ0Sa3s+N5KEQwd/Aq7kRQGO595ikfHGiunIzOqhBSdmZuGcz+34j1qGQJ935asGkyxLTr9/9Q0ssYV/Sdbchk1EtRXxOUc5OTk4efIkZsyYgdLSUmRkZGDjxo1akvbRo0edlnNef/11VFdX4ze/+Y3TefLy8jBz5sy6HHqjoG3pF977a0myZLhLpG+/NPTK7Oox4FEDKl/tSuKtzXD+/CW35Gb1zVg/To9jlJyX1uKtzdCpy7UAgNJjp7Fw/moMujMLBRu3azlHg+7McspvUJPNo6ItHoMFoyBR5ZovYThO2TFQSTY+RigCkkVCekYXJCTGaWN1TUTt2y8Ni5dPM9UGRpIkJLaIR3pGZ2QP6YdPP9rmdN4Xp7/l9f6AYyYwe0iW2+3pGZ2x+fNdTv9+1OrmruPy9twREZkV8XWOwoF1jswbOzzP7Y3NlSQBt/6ij8ddImrgoiiKU3CivkGu+nAeFs5f7bV2iVZryCVIa3ddazRtGovvD/zXMDCSJAk39umCvv1uwJJF7129/UowB0iQJEdOkdEuO0kCru+aiqNHSgE4cnmmvTAeQgjDoFGSJciS5DUHYvmSDXht7gpUlFdCCBiOW90BtqeoxGPtKLVvnS+F24ox5t7pHmfVXOvCGPWq8nZ/lSRLuPX23o6cM905tN50kuSUmN6pSzuU7P/RaRwSwPwRIvLI7Pt3xM8cUf22v/gHr4GRmYJrffulYca8R92KAgohkPfSY8jM6uEzt+e6Dm1w3/2D3M7x01HjSuqq1m1aYN0nCzB2eJ7WuBVwzL44rurqtRmVHxAC2hu4bJGxt6gEQginMgJqXzTXBrCAe6Ax6M4szJri2P3m7Xm9rkMbLF2bj7HD8/BFwU7DY6qrarTEb5WnJpw9enb0OHun2BVUlJ/TEqH1varUrfze2oFoz5UisG3zHixfskG7RvUcgKP2U+mx04i3NkPJ/h+dAiPA8dxNe2E8AyMiqjUGRxRSvrbwmy24phYFtLssi3360XaMenioz8fZveMAzp+76NfY9TkwwegVp9/WvnRtvlsZAVeuTTFPnjiLLz/bCUnyXR17z66DKNxW7DX/5uwZG+6/azJmvvw4Ro8b6rYEqtYhGvfEPY4aUl78Z9dBjBw2FT0zOmvj1V9zM5O1maqrajDz2dedrlGxK5BlCUcPlwIS3IIiwDHrlJAYx8CIiIIi4hOyqX7LnZTj8Wfqzigzb2hGwYk+odrb46iM3lS90efABCURGr77NukrSD82+kUIIZybYgqTW+glx443X+MWAsh75nVtxsgoN8zRx8z7YwpFQBEC+/YeNvw9XbxY5XvMujG5jkFRBM6esXlcIvSWxE5E5C8GRxRSffulIf+Vx50KKMqyBItFxlPPjcbC+at9tpIAjIMTffKtmrgdbGqdIn9ajXjjLWFY3xCz7PhpnD1jC7hNiBqE5U7KMbXtXl1K8/R4ZsahLisaPTe+dqoFAxOxiShYGBxRyHW/oQNu7HO1I3t67y7Ie+kx5E9ejC8/26kt3+QMnYw505cYnsMoOHFdkntu9jivnewDYVR3Ry0c1yuzq6nHc93W7mkZUa3P4235zuz1OQdhvgMbNceotnr07Oi9PlII7Skq8RlkExGZwd1qAeBuNfNc82bUAKFnRmf8Z+cBw6rT+a84cmCMzqXfwQQ4ttDrE4f9qXNkRq/Mrk7b3V3blYwcNhUCnvu5WSwyrAlxTsnWQgjDpOebb3jIa96U+tx17NzO6xKhftfWi9PfMvV8qK1YcoZOdvuZawkDb9796GUIIUztTjNLkiRAMk54dx2jeu1qGxIiIj2z79+cOaKQcp0NUStT79t72OMb7mtzVxjeriYw/2XJs9hbVIK9RSUoO34amzcVaa1AglFBWiVJjm7z6jKX/nFUPTM6IyrKcysOu11BRcU52MrPIXdSjraFXzvn57uQM3QyuiXfgxOlZ9zuL8sSklpYndoceCuMKcuSdpwQwnSgmD2kn8clUFmWEW9t7vMcsxc8oeWPNW/e1NTj+iJbZNzYpwtkSdJmDdWK2ZIEREVZnII3T5XPqWHS5+hx1pCCibvVKKQ8JVLDS0BRUV7p9ZxGARcAjLl3Opo3b2rcENVPkiQhLr4pzp+7CLvdvYlq7qQcpxkxb/T3U2ljvzJOo5wcdRZErVqtZ1QY07Uswtjheaav9dOPtmHUw0MwetxQdL+hg9PMllrE0Vug1SuzK0aOHeK5mKYEQMDv340EYNoL47Fv72G8NncFys9WQgihBURGjYl9Jb1Tw2C0m1PfvJioNhgcUUh56q5+XYc2HpeGZFnGzTc85LaMpfK0rb66qgY1NZchdB3j1YKBgPcK3a6EEKi0uW89V994zeQHGd3P7H1iYqPRb0C6VvPItf7QffcPctRMApw6i+vzmcwGCEK497RzLTHgqwyCOmOnPi+uz3VSkhVPPTcan360DXuKSmArP+fzeYiJjcby9x079tS6R2rQ5W2Zj1WyGwejD0n6UhlEtcHgiEIqd1IONn++y+32kv0/IjExHuUGs0R2u4Ky46edPgkCV3dUVVfVeJyBEIq4UvMmHjGx0drMhxAC055a6Pd2flfqG6+nAC0mNhoA3PJt1PtVlJ/zmlekSmphdao4bfQJeca8R51albhWGPcUmBoxKgipd+TQMa/391kPSnIc83+rPvW4HV9PtsjoNyAdQgg8NvpF00Gor6R3ajh8lfcgqg0GRxRSffulIb13F8MlGaPAyLFc4ryMNef5Jdhb5ChCqG/T4S1AiomNdmuN0fbaa3Do4H8DXnLTv/EunL/aLfBQ39DVJTfXWZ3sIVmYO+Pvph5LP/Ph6RNywcbtTp+Q1ca7+/YeBuCYncOVJOWrbTeulOJ2mUk7e8aGnKGT0SuzK56bPc6taravrfhqMNItrT1Olp1xe47PnnYUnDST2K1/vsz0dZMNgmEWg2z4jIJ/zhpSsDAhm0JO7Stmhuubp2JX8J+dB2G3K06tO/SzQ0bU3Wx6vlqZREW750EZJURnZvXwWlpA3fafntEZMbHRiIqyoGPndsh7ZjEuXvBdDFGSJLflMV+fkAu3FWPE3VOwe8cBVFfVoLqqBiX7f4QQAukZnbXxr17/ElZ9OBcJicad7nfvOOCWdO4rublXZlctGFGTzo2YCYxiYqO151mtMeWNbJEhSRLeWDEdX327DEvX5jMwaiTMlPcgChRnjiikCrcVw1Z+rlbnMHqzVWeHFi+fhhF3O5rS6qntM/QzIN5ajKgzJkYzPkYJ0freaJ6WtfSzXf4s5+lnz9Rx+/qEvGjBGuNZNCGQkBiHdZ8scLrdU1AJQNvtpc5K7Sny3DpElmX8esQgpxkrWZZNL4PpSRIw/cXxGPWwo4yDt5YtkgQktrC69aKjxsPM3yBRoFjnKACsc2SOOptR251jRmSLjPSMzkhIjMNXX+x2W/bR79xSk5m9dajXd7H31ATWH2OH52HLpqKAggSjLvdOQZssQQihBQe5k3Lwh3Evewz81J13UVFR2nVVlJ/DnqISj/lIySkt8dW3y1C4rdiw9hEANG3WBO1Sr6l1Hpc2TlmCBAnpvR0NZqurarTdaXpJLayGASsRkS9m3785c0Qh42k2IxgUu+J1a7liV7CnqMQtmdmILEs4e9qmBTPqjFHupJyA34Br06jWdclM/wlZDfDUMW/eVIQtm4rQM6Ozx+DIdefd1QR541rW+lmpOc8bVywHgKpLVUELjADHbKDA1dpMnopPPvXcKLffi+tuPqNdjkREZjHniEIm3LtGzp62aW/uHgMjiwwhHMndroUqzRYSNCpEV9tGtZ6SStUt9fqO9Wr8YLa1iKIIQHLM0Lj2o3PN2/j2P9/7P/grYmKja9XOxSgwkiS45SK59qQzKtZJROQPzhxRyHjL8akr/9l50DBnKSY2GkktrOiW1t5wuU2dvXGdkRh0Z5a2fb5N25Y4f+6i0+yJfpv95s+LnM4pSRKu73qtqdkWfVKpr9kvxa6g9NhprPpwHuY8v8RUVWz1PurSmae8Dftlz7NfvmYF+w1IR0X5uaC2cxHCPQeK9W6IKNg4c0Qhkzspx6kVRTgYBUbqlnt1d1N6RmfDWZ7Tp8qRM3QyNn++S2uOm/fM6/iiwNEsd/eOA26BjjqTs251AVwbvkoSMGb83T7HHB/fzGnZyFfBSXUZrG+/NKz7ZAFuG9TH56yVfulM35YFAMblzES31vegc8v/8bjzzEx32S7d2wc1MNK4DIn1bogo2BgcUcj07ZeGG/t09X1gHVIrZleUn9OWwbp0uw5CcQ881CRvf/OmFLuCfXsPaz3ANJKE1+au8LnUFBXjPKG7p6jEa2Dkun05d1KOWwDhdB9ZcrvP8iUbcP9dk/FFwU5U2i7g8mW758AIQOeuqV4DX4tFxpJF73k+wEC8tZmjl5uPwK78rM2pj5bREibr3RBRbXBZjUIqmI1ga0NdRmvTtiX27DqIvVcCjhOlZ/BFwc6gPpb6Rm00m1FRXuk12JKu7CZTFW4rRvkZ4x12MbHR6NGzIwDg9w+/5JSI3KlLO8PlO4tFxi0DM5yWzgq3FSPvmdfNX58sY85rv8e+vYc93s/fZHRJApasmQkhhM+lQSGgJaLPmPcoKsrPuZU5YL0bIqoNBkcUUnWdd2SxuNfYUZfRlq7Nx9jheZCkq8nXoahkIQHo0bOj21Z52SIjISEOFRXnPG6hF8KxHDV2eJ7WKkXr2upi+ovjMfPZxVqwVXb8NDZ/vgurPpznsfCmJcrilofjTwd7td9ZZlYPLbia+ezrpgo8epPYwqqdLyExzvD3qKeWNMh75nVYXGaN0jM6Y9oL47nVn+ot7q6s/7isRiGVOymnTh/PKDDSL6Nt27wn4C32ZvTK7IpVH87Dc7PHGVbvfeq50U63G1my6D0tr+nsGZthAJfU0or/W1XgNgulKMLr9nsj3oo86qlBpj7o6H5DB9zYpytiYqMd1cANqoybOa9+tszbMqKeeu121wA0MY6BUSNltHO0vuHuysjAmSMKqb790tArs2toEnNN6NS5HQ4d/K+2jBZs117XGjU1dqcGtwvnr8b+4h/Q88obfumx0+iW1h7ZQ7Lw6UfbYE2MAwQMCxyaoQYT2zbvMfz5vr2H0aNnR8PnXF2GAxwv0nOeX2KqESwAbanKtaim2uNO6+Hmoeedr/OqYzI7HiNMxG68PDVoXvmvufVqVoa7KyMDgyMKOde2HHVFtsg4fbLCaRktmOKtzfD/iq7O0hi9OEMIpPfugj1FJfjys52QpKuBhFpfyZ9AQp9P4yk4AhzPuVFblaNHSjF2eB4G3ZmFWVPeMP28qFWp9+097LaMpq+5JF2p3q0GSr5ERVmw8l9ztZmeRQvWmHpOZIvsSKKXHE2I9bczEbtxipSgw2hmVLEr2LZ5j1vLIwofLqtRSKmzDM2aN4EsSe47uEJITYAORWAkW2T0/ll3p9uMXpwVxVHx+expG4TwHEh4I3lofqufBdLr0bMj+vZLw6oP5+K2QX2Q1NJRIl+tqq2WJDDzvMgWGRaLjDdWTIcQAnnPeM8vEoqjrcmAgRlITmmJXpldHbvjPPzaO1zf1mn2zFdzYFV6Rmfkv/I4ZElyW7pkInbjFAklHbxtsKiuquHyWj3C4IhCRp1J2fz5Lqft4WbiI0mWEG9thpjY6FoFVLIsu22dly0yklpYA65g7elN2N+WIfpAwmsjWEUAErTEzcysHh5fQGVZxrQXxgO4Wr/oug5tAJgvSSBJjhkdWZaQkBCHvJceRWZWD9OJ29d1aIPcSTnoltYepcdOI713F9zYpyvirc3ckqcPlfyEkcOmYvmSDRg7PA9nPbxxOF3jlbyiUQ8Pxcp/zdUCMX3gSI1PJJR0WLRgjdfXM38q81NosfFsANh41pxAm6+qSdSAML0kFhVtweUau8d+XE7nlyV06uK7UrXRuWJio9FvQLrbVvhFC9Zg2+Y9V3aXmePaHNdTg1f98RKAGfMexawpbwBwTkbu3C0VzeOaajlOajK8r/MaPpYuj0gCsPJfc702t9Xr3C0Vhw7+5LSkJ8syVn3o6A/n+m9CfSxfO9T09BXOudOHAIMGzVf+7YYiYA50t9nNNzzk829IbfpMoWH2/ZvBUQAYHJlj5oXAlSxLGHB7b1SUn/MriTo5pSX+suRZjL8/36nJqrfH0c+kNG3WBDU1NZBlGT16dsSvR2Qjf/JiwxdaIYSWkHy5+jIqK30/ntvjG7xwd245zHdgd6UcgK3inNcAQz1/z4zOfiXDx8c3w/nzF52eGzWIM90KxLjyAHpldkXpsdNBLe2gD94YIJG3VjjBfAx9bqE//wbHDs/D5k1FHvPx9B+YKDTMvn8zIZtCpltae5w8cdZ0Erb6wpA7KQdj7p1uOjCSZEmbOjcTGAFwe/P/Wf80txekbmnttSAIAoAEvDj9LezZVQJA+F05W5XU0or0jM5uL9yJSVafy0qKXTHc5ea6rV0N6PbtPWx6XGrw4hrsKXZFCwRN8fC0qLvoghkcqf+25jy/BOs+WRC081JkUpeSQ6k2id+5k3KwZVOR4YYF5szVL8w5opDJnZQDCY7gxRf1hSF7SD+MHDbV9PKUJEuQJQkTnr4/4LV6T0mbffulIXdSDmzl52CrOIezp23YveMAFEUJODBq1iwW13Vog/3FP2Dh/NVOuUNPTh1l6hxmJ3vVF1+ffdZkCRaLI1fJKG9DkhyJ3IHMkDmNR1GwZ9dBw5+Z+TciSfCYm7V7xwFkdMipt7VtyH/1tWZRbRK/+/ZLc8qT65XZFb0yuzJnrh5icEQho74Q3Hp7b49J2DGx0U4vDJ9+tM30+eOtzZGYGA9rYhwWzl9tupihK1k38+TKV9NXf124UIXdOw5ojWxH3H11d8rocUOR/8rjjmTxKwnpkgSfvdhUrgGGbHEsEeqLTqrHxFubIamFFfHW5kjQPYeD7sxyLl55ZUddMDRtEmuYjNq5W6rTrjNPEpOsHnfoAY5Zwy8/38UdPw1AfS6UWNvEb32j54TEOKccQX1gVF+Dw8aCwRHViegY90/8asVltRv87x9+ya8K1pW289qMzuZNRVpBQn8pikD2kCzDn5mt1hwoRVGcKlp3v6ED0nt3xjXJLdD7Z90x8+XHkZAY7/M8zZrFGm5rn/bCeKz811ykZ3RGTGw0oqOj0CuzK95anYfFy6fhwvmLTs/hrClvYMa8R7VPtmYe26yLl6oMn8tK2wW3T9OyLLn9Ls+esfnMeRKK4I6fBsBo6SqUv1d/AhF1Rrw2JSR8BX/1OThsLJiQHQAmZJvjmrjoSpZlzHz5MeRPXuzxmEBIkn+zHZIE3PqLPm75AmZ2kAWDJElo3abFlaa4JZAk50RPa2Kcz6rRSS2sWLx8mmEyqqcE0p4Znd2S3l0TQgNJqveH6449dfxt2rbEoYP/NZ1D5oo7fiKbp393ar5eMHuSBZJgXdvEb6OdvPq/BV8/p8AxIZvCzveSlMD/rfrUxzH+8zfeF8K4v5jZas0aybFRS62Cbf7xBcqOu+/iUhM9IeC74rTknoyqfhp2nY1Tz2M0C+OaO9EtrT1OlJ1xqkLti1pSYN/ew15zx/SfuI2qiwdaTd3bMilFBqPNHGoRUzVoCFZ7kGBU1vb3NcdX3lIkFLRs6BgcUcj4LIooSdi397DhMWrdorpSWXEey5dsQMHG7dqnwT1FJf4lXgsgztrMebbDw7Z2sxS7ogVd3gIktdCjytesnSeugYW6u0aR4TVAUksw6D9Be/r0r69RpB4/dnie01hr02bG2zIpRQbXXV1quxhZlmoVxBjxNxAJRg83w+BPl7fk6+cUesw5opDpltbeaw6Qp91UskVGfHxzt2rKoXT5sh15z7yOzZ/v0tb4/c1hki0yoqKinMddy0VrtcmsmpOjtgJxpe7W6tt5FPp2GYXHRr8IIYTfM3KugYWaVH9j7y4eq5XLFhkDbu+NpWvznZYWjBJXAUd7k6++XYbcSTlYOH81br7hIb9yzXyRZAmffrQ9KOei8HDd1TVgYAYSW1jdPqwEYzbF3wTrYORD+cpbCkZeE9UOgyMKmUF3ZnmdeTHaTSXLEoTiqOVj5s0y2L3avPU+U3d6GQVM6osXJP9marwNX/+CqC6ZLX5nmsfjK20XcPaMDWdP23D2jC2gcgOeAou9RSWwX2n/4mmMrnIn5RgGh3t2HcTyJRucEk49Lb8FEiALRXD5oQFQ/81/9e0yLF2bj/SMziFpD+JvIBKMJS+j4E+/jd/Xzyn0GkRwtGjRInTo0AFNmjRBVlYWvv76a6/Hr127Ft27d0eTJk2Qnp6ODRs21NFIG5eCjds9zryoL0C/HjEIPTM6IyrKgqhoCxRFmE6oli0ybuzTBRaLHHCfNG9cm6jeentvzJr/BAbc3ttjjRKjF3Az16H+V5Ylr3VPQr0Lyyiw8JQ7FhMb7fVFu2+/NKT37mz4OLOn/g12u+IzkAxkNonLDw1TqGZT/A1EgtXDzTX4c308Xz+n0Ir4nKM1a9Zg4sSJWLx4MbKysvDaa69h8ODB2L9/P1q3bu12/FdffYURI0Zg7ty5uPvuu7Fy5Urcc8892LlzJ3r27BmGK2i4PHVYl2UJAwZmIHtIFvInu/cIM90gFY6t6mo7j/3FP+D0yXJcvhycXCV1Scs1n2HUw0M83scoVwLCczXtxBbOu2987XoJ9YyI0Yu8p9yxpBZWn7kepcfcc44URUBRjH9HapFHf3rU6XH5oeFSg5hQtAfxp7K20d84/801PBG/lT8rKws/+9nPsHDhQgCOujGpqan4/e9/jylTprgdn5OTg/Pnz+PDDz/UbuvXrx8yMjKwePFiw8eoqqpCVVWV9r3NZkNqaiq38vtg1EfI13ZVs5JaWPHGiuluL4zLl2xA3jOvu99BAnr16YqExDhtq/ieXQcBSXK8wF3ZlSbJEoSu4WogU9lG23xfnP6W2+6wQLbmjh2ehy8/32Vq95gkS0hMjMf58xcNgw2tWa+Pa/b1e/Q1Xm+9pPTUc+4v/sF0+YCkllYsfse4hAFRqLiWnQDgVMyRff7qL7Nb+SN6Wa26uho7duxAdna2dpssy8jOzsbWrVsN77N161an4wFg8ODBHo8HgLlz5yIhIUH7Sk1NDc4FNHC+psF97maD4w1ekpzPYbHIhoER4KgyHW9t5n4i4XjxUqep132yAKs+nHd1Kv323pg1/3HcemXJrDZr/EbT4c/NHue0/Bfop83cSTmQJclcSxZJwhsrpiOphfELQMtWiViz4SWf11yb5QzX+3qjntNTIrcrdWaPyw9Ul1wDoz27SrC3qKTeFGsUl07CXvgHiKpTYRtDQxDRy2qnTp2C3W5HcnKy0+3Jycn47rvvDO9TWlpqeHxpaanHx5k6dSomTpyofa/OHJF3vqbBfTWmVd+E815+HJ9+tM30zEDvn3U3nOlwXS4ymkof9fDQAK/Wu2AtCbiep7qqBmfP2twSn/Uza962BZtZTqjN2I3GW15e6TbzpR+v67KFOrOlx6UMCgfXbfyeapPVtrxAIIQQgKiBOLYesBVD/LQe6DACkIx3mZJ3ER0c1ZXY2FjExsaGexgRydubr6f8nPTeXbQpavVN2Fuej5nz1oc30mB1DNefR32xFoDTtepn1oLxfNRm7IbjtUgex+spGNPnlnH5jMLBTK/FcBVrFN+9CnH8o6vfH3kH4sg7kNoOhdR9opd7kpGIDo5atWoFi8WCsrIyp9vLysrQpk0bw/u0adPGr+MpdEKVYBnKxM36xsy11qfnw+xYPAVjbJ1A4WQmFSBcuyWldnc5BUfa7W1DMxve0DWIhOybbroJ//u//wvAkZB93XXXYcKECR4Tsi9cuIB//etf2m0333wzbrzxRo8J2a7YW42IqPHxtcGgNhs5gkE5sgLi0FLte6nTw5A7jKzzcdRnjSIhGwAmTpyIN998E2+//Tb27duHxx9/HOfPn8fYsWMBAA888ACmTp2qHf/HP/4RGzduxIIFC/Ddd99h5syZKCwsxIQJE8J1CURE5IPaK/DmGx7C2OF5YUl6Ntqc4Ks2WV0SZZ8BAKRr73H6nvwX0ctqgGMm6OTJk5gxYwZKS0uRkZGBjRs3aknXR48ehSxfjQFvvvlmrFy5EtOnT8dzzz2HLl264P3332eNIyKieioY/cyCIZxL1OLSSSh7Z0NOnwEptpXhMXLPGYAcA6lpCkTqrwGlOuTjMmJmrPVdxC+rhQOX1YiI6o5RTbRA6oRFIm0X2pGVEEeWQ+owBlI93YUWCWM1+/4d8TNH9ZndbkdNTWCVfql+io6OhsViCfcwiBqVYPQzi1SRtAstksbqC4OjEBBCoLS0FOXl5eEeCoVAYmIi2rRpU28+CRE1dN5qdTV0kbQLLZLG6guDoxBQA6PWrVujWbNmfBNtIIQQuHDhAk6cOAEASElJCfOIiBoHf2t1ubbwieSWHpK1O6ROY912oUnW7mEclbFIGqsvDI6CzG63a4FRy5Ytwz0cCrKmTZsCAE6cOIHWrVtziY2oDviTCF1fkreDSb8LTfz3fcf39XSLfiSN1RsmZAfAW0LXpUuXcPjwYXTo0EF7I6WG5eLFizhy5Ag6duyIJk2ahHs4RKTTEJO3xfkfru5Cu3gcUKohNa+fS4r1faxMyA4zLqU1XPzdEtVfDTF5Wx9cSE3r93J+JI3Vm4gvAklERKTqltZeK9KoaizJ2xQ8DI4orI4cOQJJklBUVBTuoRBRkIWjqrVRFetwNp6uD5W9yX9cViMioqALV2J0fWq03BCTwxsLzhyRoerq8JSdD0QkjZWosVi0YA0AaPk/il2B0N0eSn37pWHp2nx89e0yLF2bH7bA6LHRL8JuV8LyHFDtMDgiAMDAgQMxYcIEPPnkk2jVqhUGDx6MvXv3YsiQIYiLi0NycjLGjBmDU6dOafeprKzEqFGj0Lx5c6SkpOBPf/oTBg4ciCeffFI7RpIkvP/++06PlZiYiGXLlhmOw263Y9y4cejYsSOaNm2Kbt264c9//rPTMQ899BDuuecevPjii2jbti26desGAPjrX/+KLl26oEmTJkhOTsZvfvOboDw3ROS/+pQYXddLW+qM0dkzNrefeXsOxKWTsBf+AaLqlOHPqe4wOKqnwrFO/fbbbyMmJgZbtmzBvHnz8Itf/AK9e/dGYWEhNm7ciLKyMvz2t7/Vjp84cSK2bNmCDz74AJ988gm+/PJL7Ny5s1ZjUBQF1157LdauXYvi4mLMmDEDzz33HN59912n4woKCrB//3588skn+PDDD1FYWIg//OEPmDVrFvbv34+NGzfitttuq9VYiChw9SUxWg1UtmwqQtnx09i8qQgjh00N6Wuqt5kho+dACAGhVEMcWw/YiiF+Wu/4npV2woY5R/VQuNapu3TpgpdffhkA8MILL6B3796YM2eO9vO///3vSE1NxYEDB5CSkoK3334bK1euxKBBgwAAS5cuRdu2bWs1hujoaOTnX61F0rFjR2zduhXvvvuuU2DWvHlzvPXWW4iJiQEArFu3Ds2bN8fdd9+N+Ph4tG/fHr17967VWIgocP5WtQ42tUr2ts17nGaw1LEsWrAmZHWPjGbNVEbPQUPqSdZQcOaoHgrXWn1mZqb2/7t378bnn3+OuLg47at7d0cJ+O+//x6HDh1CTU0NbrrpJu0+CQkJ2hJXbSxatAiZmZm45pprEBcXh7/97W84evSo0zHp6elaYAQAd9xxB9q3b49OnTphzJgxWLFiBS5cuFDrsRBRYNTE6AEDM5Cc0hIDBmZg1Yfzgpr/42mGXT9bVF3l3vw71Mt7RrNmAJDUwmr4HEjt7jI8TyT2JGsoOHNUD4Vrrb558+ba/587dw7Dhg3DSy+95HZcSkoKSkpKTJ1TkiS3qeGaGvcXK9Xq1avx9NNPY8GCBejfvz/i4+PxyiuvYPv27R7HCgDx8fHYuXMnNm3ahH//+9+YMWMGZs6ciW+++QaJiYmmxkpEwaUmRoeCtxl21w+YrkK9vOdp1uyNFdMNg8OG1JOsoeDMUT1UH9bq+/Tpg2+//RYdOnRA586dnb6aN2+OTp06ITo6Gt988412n4qKChw4cMDpPNdccw2OHz+ufX/w4EGvMzpbtmzBzTffjCeeeAK9e/dG586d8f3335sac1RUFLKzs/Hyyy/jP//5D44cOYLPPvvMzysnokjgbYbd27JWXSzvBTJrpu9Jpv+ewoMzR/VQuNfqASA3NxdvvvkmRowYgWeffRYtWrRASUkJVq9ejbfeegvx8fF48MEH8cwzz6BFixZo3bo18vLyIMuyU3uNX/ziF1i4cCH69+8Pu92OyZMnIzo62uPjdunSBf/4xz/w8ccfo2PHjnjnnXfwzTffoGPHjl7H++GHH+LQoUO47bbbkJSUhA0bNkBRlKAs8xFR/eNthr1bWnucPHEWisvPY2Kj0W9Aep3UPfJ31kzuOeNqT7LUXwMKS5SEE2eO6qG6WKv3pW3bttiyZQvsdjt++ctfIj09HU8++SQSExMhy45/Nq+++ir69++Pu+++G9nZ2bjlllvQo0cPp2asCxYsQGpqKm699VaMHDkSTz/9NJo1a+bxcR999FHcd999yMnJQVZWFk6fPo0nnnjC53gTExOxbt06/OIXv0CPHj2wePFirFq1CjfccEPtnwwiqne8zbAbVcm2WGQsf//FsNU98kVq3l7rRSY1TalXzVobI0lwr6DfvHX1vXTpEg4fPtwoO7afP38e7dq1w4IFCzBu3LhwDydkGvPvmKi+UHOOBOA0w65+kFR3q4W7SjbVL97ev/W4rEYB27VrF7777jvcdNNNqKiowKxZswAAv/rVr8I8MiJq6Hy1CQllMjg1fAyOqFbmz5+P/fv3IyYmBpmZmfjyyy/RqlWrcA+LiBoBBkAUKgyOKGC9e/fGjh07wj0MIiKioGJCNhEREZEOgyMiIiIiHQZHRERERDoMjoiIiIh0GBwRERER6TA4IiIiItJhcEQNwsCBA/Hkk09q33fo0AGvvfZa2MZDRESRi3WOqEH65ptv0Lx583APg4iIIhCDI2qQrrnmmnAPgYiIIhSX1UizceNGDBgwAImJiWjZsiXuvvtufP/99wCAI0eOQJIkrFu3DrfffjuaNWuGXr16YevWrU7n+L//+z/ccMMNiI2NRYcOHbBgwQKnn3fo0AEvvPACHnjgAcTFxaF9+/b44IMPcPLkSfzqV79CXFwcbrzxRhQWFmr3OX36NEaMGIF27dqhWbNmSE9Px6pVq7xei+uyWnl5OcaPH49rrrkGVqsVv/jFL7B7927t57t378btt9+O+Ph4WK1WZGZmOo2BiOoXcekk7IV/gKg6Fe6hUAPE4Kgeq+s//vPnz2PixIkoLCxEQUEBZFnGvffeC0VRtGOmTZuGp59+GkVFRejatStGjBiBy5cvAwB27NiB3/72t7j//vuxZ88ezJw5E88//zyWLVvm9Dh/+tOfcMstt2DXrl246667MGbMGDzwwAMYPXo0du7cieuvvx4PPPAAhBAAgEuXLiEzMxPr16/H3r178cgjj2DMmDH4+uuvTV/b8OHDceLECXz00UfYsWMH+vTpg0GDBuHMmTMAgFGjRuHaa6/FN998gx07dmDKlCmIjo6u5TNKRMEmhIBQqiGOrQdsxRA/rXd8f+X1gigoBPmtoqJCABAVFRVuP7t48aIoLi4WFy9eDPj8iqIIxV4l7N8vFZcLBgn798uEYq8SiqLUZth+O3nypAAg9uzZIw4fPiwAiLfeekv7+bfffisAiH379gkhhBg5cqS44447nM7xzDPPiLS0NO379u3bi9GjR2vfHz9+XAAQzz//vHbb1q1bBQBx/Phxj2O76667xKRJk7Tvf/7zn4s//vGPTo/zpz/9SQghxJdffimsVqu4dOmS0zmuv/568cYbbwghhIiPjxfLli3z9ZQIIYLzOyaiwNiL54vLBYPcvuz7FoR7aBQBvL1/63HmqB4S370KZdNQiCPLHd8fecfx/f4/hfRxDx48iBEjRqBTp06wWq3o0KEDAODo0aPaMTfeeKP2/ykpKQCAEydOAAD27duHW265xemct9xyCw4ePAi73W54juTkZABAenq6223qee12O2bPno309HS0aNECcXFx+Pjjj53G5c3u3btx7tw5tGzZEnFxcdrX4cOHtWXDiRMnYvz48cjOzsa8efO024mofpHa3WV8e9uhdTwSY1zuaxgYHNVD4frjHzZsGM6cOYM333wT27dvx/bt2wEA1dXV2jH6pSZJkgDAadnNDKNzeDvvK6+8gj//+c+YPHkyPv/8cxQVFWHw4MFO4/Lm3LlzSElJQVFRkdPX/v378cwzzwAAZs6ciW+//RZ33XUXPvvsM6SlpeG9997z67qIKPQka3dIncY639bpYUjW7mEakYPgcl+Dwt1q9ZD6xy8OLb16W4j/+E+fPo39+/fjzTffxK233goA2Lx5s1/n6NGjB7Zs2eJ025YtW9C1a1dYLJaAx7Zlyxb86le/wujRowE4gqYDBw4gLS3N1P379OmD0tJSREVFabNhRrp27YquXbviqaeewogRI7B06VLce++9AY+biEJDlH0GAJCuvQfiv+87vu8wMrxj+u5ViOMfXf3+yDsQR96B1HYopO4TwzgyCkREzxydOXMGo0aNgtVqRWJiIsaNG4dz5855Pf73v/89unXrhqZNm+K6667DH/7wB1RUVNThqM3R//Hrvw+VpKQktGzZEn/7299QUlKCzz77DBMn+vcHPWnSJBQUFGD27Nk4cOAA3n77bSxcuBBPP/10rcbWpUsXfPLJJ/jqq6+wb98+PProoygrKzN9/+zsbPTv3x/33HMP/v3vf+PIkSP46quvMG3aNBQWFuLixYuYMGECNm3ahB9++AFbtmzBN998gx49etRq3EQUGnLPGZD7vwO56wTHf3s+H+4h1fvlPvJPRM8cjRo1CsePH8cnn3yCmpoajB07Fo888ghWrlxpePyxY8dw7NgxzJ8/H2lpafjhhx/w2GOP4dixY/jnP/9Zx6P3Tu45A5BjIDVNgUj9NaCYW0IK+PFkGatXr8Yf/vAH9OzZE926dcNf/vIXDBw40PQ5+vTpg3fffRczZszA7NmzkZKSglmzZuGhhx6q1dimT5+OQ4cOYfDgwWjWrBkeeeQR3HPPPaaDWkmSsGHDBkybNg1jx47FyZMn0aZNG9x2221ITk6GxWLB6dOn8cADD6CsrAytWrXCfffdh/z8/FqNm4hCQ2re/ur/N00J40iuCseMP4WOJCJ0QXTfvn1IS0vDN998g759+wJw1OkZOnQo/vvf/6Jt27amzrN27VqMHj0a58+fR1SUcaxYVVWFqqoq7XubzYbU1FRUVFTAarU6HXvp0iUcPnwYHTt2RJMmTQK8OqrP+DsmIiP27eOA8z9oy31o3gGWrLfCPSzSsdlsSEhIMHz/1ovYmaOtW7ciMTFRC4wAx/KJLMvYvn276VwR9QnyFBgBwNy5czmLQEREXtX1jD+FTsTmHJWWlqJ169ZOt0VFRaFFixYoLS01dY5Tp05h9uzZeOSRR7weN3XqVFRUVGhfP/74Y8DjJiKihklq3l5b5pOapjgt/1FkqXfB0ZQpUyBJktev7777rtaPY7PZcNdddyEtLQ0zZ870emxsbCysVqvTFxERETVM9W5ZbdKkST4TeDt16oQ2bdpoRQJVly9fxpkzZ9CmTRuv96+srMSdd96J+Ph4vPfee2wTQURERJp6Fxxdc801pjqq9+/fH+Xl5dixYwcyMzMBAJ999hkURUFWVpbH+9lsNgwePBixsbH44IMPQpZQG6F57mQCf7dERA1bvVtWM6tHjx6488478bvf/Q5ff/01tmzZggkTJuD+++/Xdqr99NNP6N69u9ag1Gaz4Ze//CXOnz+PJUuWwGazobS0FKWlpU7tLWpDnYW6cOFCUM5H9Y/6u+WMIxFRw1TvZo78sWLFCkyYMAGDBg2CLMv49a9/jb/85S/az2tqarB//37tzWznzp1aS4zOnTs7nevw4cNeqyebZbFYkJiYqC35NWvWTGuHQZFNCIELFy7gxIkTSExMrFXVbyIiqr8its5ROPmqkyCEQGlpKcrLy+t+cBRyiYmJaNOmDYNeIqII0+DrHNVnkiQhJSUFrVu3Rk1NTbiHQ0EUHR3NGSMiogaOwVEIWSwWvpESERFFmIhNyCYiIiIKBQZHRERERDoMjoiIiIh0mHMUAHWDn81mC/NIiIiIyCz1fdvXRn0GRwGorKwEAKSmpoZ5JEREROSvyspKJCQkePw56xwFQFEUHDt2DPHx8aZr3dhsNqSmpuLHH39sVI1red287saA183rbgwawnULIVBZWYm2bdtClj1nFnHmKACyLOPaa68N6L5WqzVi/1HVBq+7ceF1Ny687sYl0q/b24yRignZRERERDoMjoiIiIh0GBzVkdjYWOTl5SE2NjbcQ6lTvG5ed2PA6+Z1NwaN6bqZkE1ERESkw5kjIiIiIh0GR0REREQ6DI6IiIiIdBgcEREREekwOAqhM2fOYNSoUbBarUhMTMS4ceNw7tw5r8f//ve/R7du3dC0aVNcd911+MMf/oCKioo6HLX/Fi1ahA4dOqBJkybIysrC119/7fX4tWvXonv37mjSpAnS09OxYcOGOhppcPlz3W+++SZuvfVWJCUlISkpCdnZ2T6fp/rK39+3avXq1ZAkCffcc09oBxgi/l53eXk5cnNzkZKSgtjYWHTt2jUi/637e92vvfaa9hqWmpqKp556CpcuXaqj0dbeF198gWHDhqFt27aQJAnvv/++z/ts2rQJffr0QWxsLDp37oxly5aFfJzB5u91r1u3DnfccQeuueYaWK1W9O/fHx9//HHdDLYuCAqZO++8U/Tq1Uts27ZNfPnll6Jz585ixIgRHo/fs2ePuO+++8QHH3wgSkpKREFBgejSpYv49a9/XYej9s/q1atFTEyM+Pvf/y6+/fZb8bvf/U4kJiaKsrIyw+O3bNkiLBaLePnll0VxcbGYPn26iI6OFnv27KnjkdeOv9c9cuRIsWjRIrFr1y6xb98+8dBDD4mEhATx3//+t45HXjv+Xrfq8OHDol27duLWW28Vv/rVr+pmsEHk73VXVVWJvn37iqFDh4rNmzeLw4cPi02bNomioqI6Hnnt+HvdK1asELGxsWLFihXi8OHD4uOPPxYpKSniqaeequORB27Dhg1i2rRpYt26dQKAeO+997wef+jQIdGsWTMxceJEUVxcLP73f/9XWCwWsXHjxroZcJD4e91//OMfxUsvvSS+/vprceDAATF16lQRHR0tdu7cWTcDDjEGRyFSXFwsAIhvvvlGu+2jjz4SkiSJn376yfR53n33XRETEyNqampCMcxau+mmm0Rubq72vd1uF23bthVz5841PP63v/2tuOuuu5xuy8rKEo8++mhIxxls/l63q8uXL4v4+Hjx9ttvh2qIIRHIdV++fFncfPPN4q233hIPPvhgRAZH/l7366+/Ljp16iSqq6vraogh4e915+bmil/84hdOt02cOFHccsstIR1nqJgJEp599llxww03ON2Wk5MjBg8eHMKRhZaZ6zaSlpYm8vPzgz+gMOCyWohs3boViYmJ6Nu3r3ZbdnY2ZFnG9u3bTZ+noqICVqsVUVH1rw1edXU1duzYgezsbO02WZaRnZ2NrVu3Gt5n69atTscDwODBgz0eXx8Fct2uLly4gJqaGrRo0SJUwwy6QK971qxZaN26NcaNG1cXwwy6QK77gw8+QP/+/ZGbm4vk5GT07NkTc+bMgd1ur6th11og133zzTdjx44d2tLboUOHsGHDBgwdOrROxhwODeE1LRgURUFlZWVEvaZ5U//ecRuI0tJStG7d2um2qKgotGjRAqWlpabOcerUKcyePRuPPPJIKIZYa6dOnYLdbkdycrLT7cnJyfjuu+8M71NaWmp4vNnnpD4I5LpdTZ48GW3btnV7Ua3PArnuzZs3Y8mSJSgqKqqDEYZGINd96NAhfPbZZxg1ahQ2bNiAkpISPPHEE6ipqUFeXl5dDLvWArnukSNH4tSpUxgwYACEELh8+TIee+wxPPfcc3Ux5LDw9Jpms9lw8eJFNG3aNEwjq1vz58/HuXPn8Nvf/jbcQwkKzhz5acqUKZAkyeuX2TdIb2w2G+666y6kpaVh5syZtR841Rvz5s3D6tWr8d5776FJkybhHk7IVFZWYsyYMXjzzTfRqlWrcA+nTimKgtatW+Nvf/sbMjMzkZOTg2nTpmHx4sXhHlpIbdq0CXPmzMFf//pX7Ny5E+vWrcP69esxe/bscA+NQmjlypXIz8/Hu+++6zYpEKk4c+SnSZMm4aGHHvJ6TKdOndCmTRucOHHC6fbLly/jzJkzaNOmjdf7V1ZW4s4770R8fDzee+89REdH13bYIdGqVStYLBaUlZU53V5WVubxGtu0aePX8fVRINetmj9/PubNm4dPP/0UN954YyiHGXT+Xvf333+PI0eOYNiwYdptiqIAcMyi7t+/H9dff31oBx0Egfy+U1JSEB0dDYvFot3Wo0cPlJaWorq6GjExMSEdczAEct3PP/88xowZg/HjxwMA0tPTcf78eTzyyCOYNm0aZLnhfR739JpmtVobxazR6tWrMX78eKxduzaiZsJ9aXj/UkPsmmuuQffu3b1+xcTEoH///igvL8eOHTu0+3722WdQFAVZWVkez2+z2fDLX/4SMTEx+OCDD+r1zEJMTAwyMzNRUFCg3aYoCgoKCtC/f3/D+/Tv39/peAD45JNPPB5fHwVy3QDw8ssvY/bs2di4caNTLlqk8Pe6u3fvjj179qCoqEj7+p//+R/cfvvtKCoqQmpqal0OP2CB/L5vueUWlJSUaMEgABw4cAApKSkRERgBgV33hQsX3AIgNUAUDbSNZ0N4TQvUqlWrMHbsWKxatQp33XVXuIcTXOHOCG/I7rzzTtG7d2+xfft2sXnzZtGlSxenrfz//e9/Rbdu3cT27duFEEJUVFSIrKwskZ6eLkpKSsTx48e1r8uXL4frMrxavXq1iI2NFcuWLRPFxcXikUceEYmJiaK0tFQIIcSYMWPElClTtOO3bNkioqKixPz588W+fftEXl5exG7l9+e6582bJ2JiYsQ///lPp99rZWVluC4hIP5et6tI3a3m73UfPXpUxMfHiwkTJoj9+/eLDz/8ULRu3Vq88MIL4bqEgPh73Xl5eSI+Pl6sWrVKHDp0SPz73/8W119/vfjtb38brkvwW2Vlpdi1a5fYtWuXACBeffVVsWvXLvHDDz8IIYSYMmWKGDNmjHa8upX/mWeeEfv27ROLFi2KyK38/l73ihUrRFRUlFi0aJHTa1p5eXm4LiGoGByF0OnTp8WIESNEXFycsFqtYuzYsU5vhocPHxYAxOeffy6EEOLzzz8XAAy/Dh8+HJ6LMOF///d/xXXXXSdiYmLETTfdJLZt26b97Oc//7l48MEHnY5/9913RdeuXUVMTIy44YYbxPr16+t4xMHhz3W3b9/e8Peal5dX9wOvJX9/33qRGhwJ4f91f/XVVyIrK0vExsaKTp06iRdffLHefsjxxp/rrqmpETNnzhTXX3+9aNKkiUhNTRVPPPGEOHv2bN0PPECeXofV63zwwQfFz3/+c7f7ZGRkiJiYGNGpUyexdOnSOh93bfl73T//+c+9Hh/pJCEa6FwnERERUQCYc0RERESkw+CIiIiISIfBEREREZEOgyMiIiIiHQZHRERERDoMjoiIiIh0GBwRERER6TA4IiIiItJhcERERESkw+CIiIiISIfBEREREZEOgyMiIiIiHQZHRNSoCSEwdOhQSJKENWvWuP1syJAhhj8jooZLEkKIcA+CiCicysrKcOONN6Kqqgq7d+9G+/btAQB/+tOfMHHiRDz00ENYunRpmEdJRHWFwREREYCNGzdi6NCh6N+/P7744gvs2bMHWVlZaN++PXbu3Im4uLhwD5GI6giX1YiIANx555344x//iK+++gpTpkzBiBEjIITAqlWrGBgRNTKcOSIiuqKqqgr9+vVDUVERAOCll17Cs88+G95BEVGd48wREdEVsbGxGDJkCACgSZMmGD9+fJhHREThwOCIiOiK7du345VXXkHLli1x6dIlPP744+EeEhGFAYMjIiIAlZWVGDlyJKKiorBp0yb8+te/xrvvvou///3v4R4aEdUx5hwREQEYM2YMli9fjoULFyI3Nxdnz55Fr169cObMGezcuRNdu3YN9xCJqI4wOCKiRm/58uUYM2YMhg0bhg8++EC7/YsvvsDtt9+O3r17Y+vWrYiOjg7jKImornBZjYgatcOHDyM3NxcpKSluS2i33XYbpk6dih07duC5554L0wiJqK5x5oiIiIhIhzNHRERERDoMjoiIiIh0GBwRERER6TA4IiIiItJhcERERESkw+CIiIiISIfBEREREZEOgyMiIiIiHQZHRERERDoMjoiIiIh0GBwRERER6TA4IiIiItL5/wEACVhaWpKWKgAAAABJRU5ErkJggg==", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "n = 20\n", "\n", "indx = scores_iso.argsort() # order objects according to their scores\n", "anomalies = data_ex1[indx[:n]] # separate anomalies\n", "regulars = data_ex1[indx[n:]] # separate regulars\n", "\n", "plt.show()\n", "plt.scatter(regulars[:,0], regulars[:,1], color='#22114C', marker='o',\n", " s=15, label='regulars')\n", "plt.scatter(anomalies[:,0], anomalies[:,1], color='#FCBD43', marker='*',\n", " s=15, label='anomalies')\n", "plt.xlabel('x', fontsize=14)\n", "plt.ylabel('y', fontsize=14)\n", "plt.legend()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": { "id": "TC_FC8F5DW16" }, "source": [ "### Adaptive anomaly detection¶" ] }, { "cell_type": "markdown", "metadata": { "id": "5aQVmSnPFnbA" }, "source": [ "#### Suppose you are interested in only 1 corner of the parameter space\n", "\n", "We should define as metadata everything that can help us make a decision.\n", "\n", "In our example, the information we need to know to make a decision is position." ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "id": "xw0mJZeDE98K" }, "outputs": [ { "data": { "text/plain": [ "array(['ID = 0, x = 0.39, y = 0.22', 'ID = 1, x = 0.43, y = 0.35',\n", " 'ID = 2, x = 0.05, y = 0.49', ..., 'ID = 1117, x = 1.05, y = 0.07',\n", " 'ID = 1118, x = 0.91, y = -0.10', 'ID = 1119, x = 1.00, y = 0.02'],\n", " dtype='" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from coniferest.pineforest import PineForest\n", "from coniferest.session import Session\n", "from coniferest.session.callback import (\n", " TerminateAfter, prompt_decision_callback,\n", ")\n", "\n", "# declare the model parameters\n", "model_ex1 = PineForest(\n", " # Use 1024 trees, a trade-off between speed and accuracy\n", " n_trees=1024,\n", " # Fix random seed for reproducibility\n", " random_seed=42,\n", ")\n", "\n", "session_ex1 = Session(\n", " # Data to use\n", " data=data_ex1,\n", " # Metadata to help an expert (you!)\n", " metadata=metadata_ex1,\n", " model=model_ex1,\n", " # Ask expert interactively\n", " decision_callback=prompt_decision_callback,\n", " # Stop after `n` objects\n", " on_decision_callbacks=TerminateAfter(10),\n", ")\n", "\n", "session_ex1.run()" ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "byHk5oJdKXo8", "outputId": "d32e1df5-1570-4956-e562-e1d6891a0c4e" }, "outputs": [ { "data": { "text/plain": [ "array([1113, 1114, 1118, 1095, 1107, 1098, 1089, 1094])" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# See targeted anomalies\n", "session_ex1.known_anomalies" ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "l9s5lvruLMc9", "outputId": "48f1994f-e503-49eb-e482-2a86e925fa46" }, "outputs": [ { "data": { "text/plain": [ "array([1049, 1043])" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# See targeted regulars\n", "session_ex1.known_regulars" ] }, { "cell_type": "markdown", "metadata": { "id": "qI13f2aoM_7u" }, "source": [ "#### Plot your decisions" ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 454 }, "id": "RKhON06ENCXT", "outputId": "cdd9c0ed-ab40-4f18-aca9-cbba8a6b0bc6" }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Flag thins you did not see\n", "flag_not_seen = ~np.isin(np.arange(data_ex1.shape[0]), list(session_ex1.known_labels))\n", "\n", "plt.figure()\n", "plt.scatter(*data_ex1[flag_not_seen].T,\n", " color='gray', marker='^', s=15, label='not seen')\n", "plt.scatter(*data_ex1[session_ex1.known_anomalies].T,\n", " color='#FCBD43', marker='*', s=15 ,label='anomalies')\n", "plt.scatter(*data_ex1[session_ex1.known_regulars].T,\n", " color='#22114C', marker='o', s=15, label='regulars')\n", "plt.xlabel('x', fontsize=14)\n", "plt.ylabel('y', fontsize=14)\n", "plt.legend()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": { "id": "ZLtM4skCVFOy" }, "source": [ "### Semi-supervised\n", "\n", "Suppose now that you have a set of labels you looked at yesterday..." ] }, { "cell_type": "code", "execution_count": 21, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 246 }, "id": "UM9lvLL6W-8k", "outputId": "292f8beb-e68d-4143-dc7a-3f439e4b4759" }, "outputs": [ { "data": { "text/plain": [ "array([ 1, 1, 1, ..., -1, -1, -1])" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "n_anomalies = 32\n", "\n", "data_ex2, labels_ex2 = non_anomalous_outliers(\n", " # Number of regular objects\n", " inliers=1024,\n", " # Number of objects per each of three \"outlier\" classes\n", " outliers=n_anomalies,\n", " # Classification of \"outlier\" classes\n", " regions=[Label.R, Label.R, Label.A],\n", " seed=402,\n", ")\n", "\n", "labels_ex2" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Create a \"catalog\" of known labels" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [], "source": [ "# All objects in right bottom corner are anomalies\n", "known_anomalies = np.where(\n", " (data_ex2[:, 0] > 0.6) # Large x\n", " & (data_ex2[:, 1] < 0.5) # Small y\n", ")[0]\n", "\n", "# No known regulars\n", "known_regulars = np.array([], dtype=int)\n", "# Or uncomment to actually add seven objects from the top right group\n", "# known_regulars = np.where(\n", "# (data_ex2[:, 0] > 0.6) # Large x\n", "# & (data_ex2[:, 1] > 0.6) # Large y\n", "# )[0][-7:]\n", "\n", "known_idx = np.r_[known_anomalies, known_regulars]\n", "known_data = data_ex2[known_idx]\n", "known_labels = np.r_[\n", " np.full_like(known_anomalies, Label.ANOMALY, dtype=int),\n", " np.full_like(known_regulars, Label.REGULAR, dtype=int),\n", "]" ] }, { "cell_type": "code", "execution_count": 23, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 430 }, "id": "eExV-q_YT2p7", "outputId": "1c3041a5-4aab-4251-a77a-9e1f437be753" }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Plot the data\n", "unlabeled = ~np.isin(np.arange(data_ex2.shape[0]), known_idx)\n", "plt.scatter(*data_ex2[unlabeled].T, marker='^', color='grey', alpha=0.5,\n", " label='Unlabeled')\n", "plt.scatter(*data_ex2[known_regulars].T, marker='o', color='#22114C',\n", " label='Catalogued regular')\n", "plt.scatter(*data_ex2[known_anomalies].T, marker='*', color='#22114C',\n", " label='Catalogued anomaly')\n", "plt.legend()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Train model on these labels" ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" } ], "source": [ "model_ex2 = PineForest(random_seed=402)\n", "model_ex2.fit_known(data_ex2, known_data=known_data, known_labels=known_labels)" ] }, { "cell_type": "markdown", "metadata": { "id": "VKQMu0Kvj-hS" }, "source": [ "#### Use the model for ex2 to estimate scores from ex1" ] }, { "cell_type": "code", "execution_count": 25, "metadata": { "id": "NJ0cRHdFeEy1" }, "outputs": [], "source": [ "scores_dex1_mex2 = model_ex2.score_samples(data_ex1)" ] }, { "cell_type": "code", "execution_count": 27, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 454 }, "id": "JB9x1kBWeSiM", "outputId": "2bb607e3-b2ac-4a12-a5ca-f4ec0bf29614" }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "indx = scores_dex1_mex2.argsort() # order objects according to their scores\n", "anomalies = data_ex1[indx[:n_anomalies]] # separate anomalies\n", "regulars = data_ex1[indx[n_anomalies:]] # separate regulars\n", "\n", "plt.show()\n", "plt.scatter(*data_ex2.T, color='gray', label='data used for model',\n", " alpha=0.5, s=15, marker=\"*\")\n", "plt.scatter(*regulars.T, color='#22114C', marker='o', s=15,\n", " label='regulars')\n", "plt.scatter(*anomalies.T, color='#FCBD43', marker='*', s=15,\n", " label='anomalies')\n", "plt.xlabel('x', fontsize=14)\n", "plt.ylabel('y', fontsize=14)\n", "plt.legend()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": { "id": "nG6zqHV1O3Qm" }, "source": [ "## Example: ZTF light curves of M31 field¶\n", "\n", "Let’s use built-in dataset of ZTF light curve features adopted from [Malanchev *et al.* (2021)](https://ui.adsabs.harvard.edu/abs/2021MNRAS.502.5147M/abstract):" ] }, { "cell_type": "code", "execution_count": 28, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "fnPQzYagOuPz", "outputId": "a75d2493-d3ef-49fe-c175-24e401120d8c" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(57546, 42)\n" ] } ], "source": [ "from coniferest.datasets import ztf_m31\n", "\n", "# import built-in data\n", "data_ztf, metadata_ztf = ztf_m31()\n", "print(data_ztf.shape)" ] }, { "cell_type": "markdown", "metadata": { "id": "RwpPeTOTEPl8" }, "source": [ "Here data is 2-D feature dataset (lines are for objects, columns are for features) and metadata is 1-D array of ZTF DR object IDs." ] }, { "cell_type": "code", "execution_count": 29, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "u4kXIY9qEZVz", "outputId": "353974c9-2c51-4569-8083-7f8f79d64eff" }, "outputs": [ { "data": { "text/plain": [ "array([[6.9950008e-01, 2.2794117e-01, 3.6764707e-02, ..., 2.0214492e-01,\n", " 6.6418362e-01, 2.0516939e+01],\n", " [4.4299984e-01, 2.8888890e-01, 4.4444446e-02, ..., 1.6328827e-01,\n", " 7.9298627e-01, 2.0698317e+01],\n", " [5.8949947e-01, 2.8000000e-01, 3.2000002e-02, ..., 1.9050223e-01,\n", " 7.2875845e-01, 2.0749649e+01],\n", " ...,\n", " [7.3499680e-02, 2.7459016e-01, 4.9180329e-02, ..., 2.4325265e-02,\n", " 7.9307187e-01, 1.7515738e+01],\n", " [4.3999672e-02, 3.1102362e-01, 7.4803151e-02, ..., 1.6327854e-02,\n", " 7.9121703e-01, 1.5804447e+01],\n", " [1.9550037e-01, 2.2834645e-01, 5.5118110e-02, ..., 5.5768635e-02,\n", " 7.1393239e-01, 1.8852880e+01]], dtype=float32)" ] }, "execution_count": 29, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data_ztf" ] }, { "cell_type": "code", "execution_count": 30, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "YiJFBilzEbo2", "outputId": "66c770d3-5875-42fb-8197-4c27e088de6e" }, "outputs": [ { "data": { "text/plain": [ "array([695211400017839, 695211400043887, 695211400043454, ...,\n", " 695211200027621, 695211200002462, 695211200070946], dtype=uint64)" ] }, "execution_count": 30, "metadata": {}, "output_type": "execute_result" } ], "source": [ "metadata_ztf" ] }, { "cell_type": "markdown", "metadata": { "id": "zMkiLHYQQEAG" }, "source": [ "Let's do anomaly detection! Explore different paths" ] }, { "cell_type": "code", "execution_count": 31, "metadata": { "colab": { "background_save": true, "base_uri": "https://localhost:8080/" }, "id": "mBdNVeu3QAy7", "outputId": "0e9cd5e3-2f48-4a0f-c34e-029ae27dc314" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Is 695211200075348 anomaly? [y/N]:" ] }, { "name": "stdin", "output_type": "stream", "text": [ " n\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Is 695211400053697 anomaly? [y/N]:" ] }, { "name": "stdin", "output_type": "stream", "text": [ " n\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Is 695211200035023 anomaly? [y/N]:" ] }, { "name": "stdin", "output_type": "stream", "text": [ " n\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Is 695211200020939 anomaly? [y/N]:" ] }, { "name": "stdin", "output_type": "stream", "text": [ " n\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Is 695211400132963 anomaly? [y/N]:" ] }, { "name": "stdin", "output_type": "stream", "text": [ " n\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Is 695211400011746 anomaly? [y/N]:" ] }, { "name": "stdin", "output_type": "stream", "text": [ " n\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Is 695211400121607 anomaly? [y/N]:" ] }, { "name": "stdin", "output_type": "stream", "text": [ " n\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Is 695211100020857 anomaly? [y/N]:" ] }, { "name": "stdin", "output_type": "stream", "text": [ " n\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Is 695211400053113 anomaly? [y/N]:" ] }, { "name": "stdin", "output_type": "stream", "text": [ " n\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Is 695211400126517 anomaly? [y/N]:" ] }, { "name": "stdin", "output_type": "stream", "text": [ " n\n" ] }, { "data": { "text/plain": [ "" ] }, "execution_count": 31, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from coniferest.pineforest import PineForest\n", "from coniferest.session import Session\n", "from coniferest.session.callback import (\n", " TerminateAfter, viewer_decision_callback,\n", ")\n", "\n", "model_ztf = PineForest(\n", " # Number of trees to use for predictions\n", " n_trees=256,\n", " # Number of new tree to grow for each decision\n", " n_spare_trees=768,\n", " # Fix random seed for reproducibility\n", " random_seed=0,\n", ")\n", "\n", "session_ztf = Session(\n", " data=data_ztf,\n", " metadata=metadata_ztf,\n", " model=model_ztf,\n", " # Prompt for a decision and open object's page on the SNAD Viewer\n", " decision_callback=viewer_decision_callback,\n", " on_decision_callbacks=[\n", " # Terminate session after 10 decisions\n", " TerminateAfter(10),\n", " ]\n", ")\n", "session_ztf.run()" ] } ], "metadata": { "colab": { "provenance": [] }, "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.8" }, "nbsphinx": { "execute": "never" } }, "nbformat": 4, "nbformat_minor": 4 }