From 13cc92e1b307ce4380f400563e0b798479a6a495 Mon Sep 17 00:00:00 2001 From: "spaceBearAmadeus (Alex)" Date: Tue, 22 Oct 2024 16:10:02 -0400 Subject: [PATCH] updated latest demo and pycache --- demos/latest_verification_demo.ipynb | 146 +++ demos/verification_colab_demo.ipynb | 1611 -------------------------- demos/verification_demo.ipynb | 1204 ------------------- 3 files changed, 146 insertions(+), 2815 deletions(-) create mode 100644 demos/latest_verification_demo.ipynb delete mode 100644 demos/verification_colab_demo.ipynb delete mode 100644 demos/verification_demo.ipynb diff --git a/demos/latest_verification_demo.ipynb b/demos/latest_verification_demo.ipynb new file mode 100644 index 0000000..24e689d --- /dev/null +++ b/demos/latest_verification_demo.ipynb @@ -0,0 +1,146 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "provenance": [] + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + } + }, + "cells": [ + { + "cell_type": "markdown", + "source": [ + "### Install the latest version of bio-compose from PyPI:" + ], + "metadata": { + "id": "lvDO-IEoq_1W" + } + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "collapsed": true, + "id": "d0XOMDnBRUhk" + }, + "outputs": [], + "source": [ + "!pip install --upgrade pip -q && pip install -q bio-compose" + ] + }, + { + "cell_type": "markdown", + "source": [ + "### Run the SBML verification, specifying the model filepath, start time, stop time, and number of steps:" + ], + "metadata": { + "id": "uu5d3h1hyZvM" + } + }, + { + "cell_type": "code", + "source": [ + "import bio_compose\n", + "\n", + "verification = bio_compose.verify('/content/BorisEJB.xml', 0, 1000, 2000)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "D8ft5PVWwIHv", + "outputId": "382a7643-7a7a-44f2-a67f-c53a0f3610ce" + }, + "execution_count": 5, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Submitting verification...\r> Status for job ending in 86a3: SUBMITTED:PENDING \n", + "> Status for job ending in 86a3: COMPLETED \n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "### Visualize observable outputs:" + ], + "metadata": { + "id": "iLiYPuJ8MlUO" + } + }, + { + "cell_type": "code", + "source": [ + "observables = verification.get_output_observables()" + ], + "metadata": { + "id": "hSPVl1gegI4t", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "outputId": "1ba81cbd-dde0-485a-927c-7e39b46fa301" + }, + "execution_count": 6, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": "iVBORw0KGgoAAAANSUhEUgAABdEAAAPdCAYAAABlRyFLAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOzdd3hUZcLG4d+U9B7SIST03hEBlSJIEVQsiB2wLCp2ZRHXFcvaUFf97K4r2FhEBBWkiEqRIr33EkJJT0ghdTJzvj8ioxGQBAIn5bmva66ZOeedmWcmSjLPvPMei2EYBiIiIiIiIiIiIiIicgKr2QFERERERERERERERKorlegiIiIiIiIiIiIiIqegEl1ERERERERERERE5BRUoouIiIiIiIiIiIiInIJKdBERERERERERERGRU1CJLiIiIiIiIiIiIiJyCirRRUREREREREREREROQSW6iIiIiIiIiIiIiMgpqEQXERERERERERERETkFlegiIiIiIicxZcoULBYLBw4cqPL7HjVqFP7+/lV+v9XF4sWLsVgszJgx47RjR40aRXx8/LkPVU0cOHAAi8XClClTzI4iIiIiIhWkEl1EREREqty+ffsYM2YMjRs3xtvbm8DAQC666CLefPNNCgsLzY53Tixfvpyrr76ayMhIvLy8iI+PZ8yYMRw8eNDsaHXK008/jcVicZ88PDyIj4/ngQceIDs72+x4JzV37lyefvpps2OIiIiIyCnYzQ4gIiIiIrXL999/z/Dhw/Hy8uK2226jbdu2lJSUsGzZMsaNG8e2bdv48MMPzY55Wrfeeis33HADXl5epx371ltv8eCDD9K4cWPuv/9+oqOj2bFjBx999BFffvklc+fOpWfPnuchtRz33nvv4e/vT35+Pj/99BNvvfUW69evZ9myZWZHO8HcuXN55513VKSLiIiIVFMq0UVERESkyiQkJHDDDTcQFxfHzz//THR0tHvf2LFj2bt3L99//72JCSvOZrNhs9lOO2758uU89NBDXHzxxcyfPx9fX1/3vnvuuYeLLrqI6667jm3bthESEnIuI1daaWkpLpcLT09Ps6NUueuuu46wsDAAxowZww033MCXX37J6tWr6datm8npRERERKQm0XIuIiIiIlJlJk2axLFjx/jvf/9brkA/rmnTpjz44IPu66WlpTz33HM0adLEvQTKE088QXFxcbnbxcfHM3ToUH744Qc6duyIt7c3rVu3ZubMmeXGZWVl8dhjj9GuXTv8/f0JDAxk8ODBbNq06YQsb731Fm3atMHX15eQkBC6du3K1KlT3fsruib6c889h8Vi4ZNPPilXoAM0adKESZMmkZyczAcffHDCbffv38/AgQPx8/MjJiaGZ599FsMwyo2ZNm0aXbp0ISAggMDAQNq1a8ebb75Zbkx2djYPPfQQsbGxeHl50bRpU15++WVcLpd7zPG1uF999VXeeOMN92u+YcMG7HY7zzzzzAn5du3ahcVi4e2336706wvgdDp54okniIqKws/PjyuvvJJDhw795esJ4HK5eOONN2jTpg3e3t5ERkYyZswYjh49etrbnsoll1wClC019EerVq1i0KBBBAUF4evrS+/evVm+fHm5MXl5eTz00EPEx8fj5eVFREQEl112GevXr3ePiY+PZ9SoUSc8bp8+fejTp88pc40aNYp33nkHoNwyNMdV5OcvIiIiIueWZqKLiIiISJWZPXs2jRs3rvDSJXfeeSeffPIJ1113HY8++iirVq3ixRdfZMeOHcyaNavc2D179jBixAjuvvtuRo4cyeTJkxk+fDjz58/nsssuA8pK6W+++Ybhw4fTqFEjUlNT+eCDD+jduzfbt28nJiYGgP/85z888MADXHfddTz44IMUFRWxefNmVq1axU033VTh51tQUMBPP/3EJZdcQqNGjU46ZsSIEfztb39jzpw5PP744+7tTqeTQYMG0b17dyZNmsT8+fOZOHEipaWlPPvsswAsXLiQG2+8kX79+vHyyy8DsGPHDpYvX+7+MKKgoIDevXtz5MgRxowZQ8OGDVmxYgUTJkwgOTmZN954o1yeyZMnU1RUxN/+9je8vLyIjo6md+/eTJ8+nYkTJ5Yb++WXX2Kz2Rg+fHilXt/jnn/+eSwWC+PHjyctLY033niD/v37s3HjRnx8fE75uo4ZM4YpU6YwevRoHnjgARISEnj77bfZsGEDy5cvx8PDowI/nfKOfxjyx28D/PzzzwwePJguXbowceJErFYrkydP5tJLL+WXX35xz1i/++67mTFjBvfddx+tW7cmMzOTZcuWsWPHDjp37lzpLH9+rklJSSxcuJDPPvus3L6K/PxFRERE5DwwRERERESqQE5OjgEYV111VYXGb9y40QCMO++8s9z2xx57zACMn3/+2b0tLi7OAIyvv/663ONFR0cbnTp1cm8rKioynE5nuftLSEgwvLy8jGeffda97aqrrjLatGnzl/kmT55sAEZCQsJpn8ODDz74l/fVvn17IzQ01H195MiRBmDcf//97m0ul8sYMmSI4enpaaSnpxuGYRgPPvigERgYaJSWlp7yvp977jnDz8/P2L17d7ntjz/+uGGz2YyDBw8ahlH2OgBGYGCgkZaWVm7sBx98YADGli1bym1v3bq1cemll7qvV/T1XbRokQEY9evXN3Jzc93bp0+fbgDGm2++We61iIuLc1//5ZdfDMD44osvyj3O/PnzT7r9zyZOnGgAxq5du4z09HTjwIEDxscff2z4+PgY4eHhRn5+vmEYZa93s2bNjIEDBxoul8t9+4KCAqNRo0bGZZdd5t4WFBRkjB079i8fNy4uzhg5cuQJ23v37m307t3bff34z2Hy5MnubWPHjjVO9tasIj9/ERERETn3tJyLiIiIiFSJ3NxcAAICAio0fu7cuQA88sgj5bY/+uijACesnR4TE8PVV1/tvh4YGMhtt93Ghg0bSElJAcDLywurtexPXKfTSWZmJv7+/rRo0aLc0hvBwcEcPnyYNWvWVOYpniAvLw84/XMOCAhwvz5/dN9997kvWywW7rvvPkpKSvjxxx/dOfPz81m4cOEp7/urr77ikksuISQkhIyMDPepf//+OJ1Oli5dWm78tddeS3h4eLlt11xzDXa7nS+//NK9bevWrWzfvp0RI0a4t1X09T3utttuK/faXHfddURHR7t/9qd6PkFBQVx22WXlnk+XLl3w9/dn0aJFp7ztH7Vo0YLw8HDi4+O5/fbbadq0KfPmzXMvubNx40b27NnDTTfdRGZmpvtx8vPz6devH0uXLnUvhxMcHMyqVatISkqq0GNXlYr8/EVERETk3FOJLiIiIiJVIjAwEPi9WD6dxMRErFYrTZs2Lbc9KiqK4OBgEhMTy21v2rRpubWiAZo3bw78vlSHy+Xi9ddfp1mzZnh5eREWFkZ4eDibN28mJyfHfbvx48fj7+9Pt27daNasGWPHjj1hHeyKOF4Qn+455+XlnVC0W61WGjdu/JfP595776V58+YMHjyYBg0acPvttzN//vxyt9mzZw/z588nPDy83Kl///4ApKWllRt/smVnwsLC6NevH9OnT3dv+/LLL7Hb7VxzzTXubRV9fY9r1qxZuesWi4WmTZv+5Trze/bsIScnh4iIiBOe07Fjx054Pqfy9ddfs3DhQqZOnUr37t1JS0srt4TMnj17ABg5cuQJj/PRRx9RXFzsfk6TJk1i69atxMbG0q1bN55++mn2799foRxnoyI/fxERERE597QmuoiIiIhUicDAQGJiYti6dWulbvfnYvxsvPDCC/zzn//k9ttv57nnniM0NBSr1cpDDz1U7iCbrVq1YteuXcyZM4f58+fz9ddf8+677/LUU0+d9ACbp9K0aVPsdjubN28+5Zji4mJ27dpF165dK/18IiIi2LhxIwsWLGDevHnMmzePyZMnc9ttt/HJJ58AZcX2ZZddxt///veT3sfxYv64U61FfsMNNzB69Gg2btxIx44dmT59Ov369SMsLMw9pqKv79lwuVxERETwxRdfnHT/n2fRn0qvXr3c2a+44gratWvHzTffzLp167Bare68r7zyCh07djzpffj7+wNw/fXXc8kllzBr1ix++OEHXnnlFV5++WVmzpzJ4MGDgVP/d+x0OrHZbBXK/GcV+fmLiIiIyLmnEl1EREREqszQoUP58MMPWblyJT169PjLsXFxcbhcLvbs2UOrVq3c21NTU8nOziYuLq7c+L1792IYRrmycvfu3QDEx8cDMGPGDPr27ct///vfcrfNzs4uVwYD+Pn5MWLECEaMGEFJSQnXXHMNzz//PBMmTMDb27tCz9fPz4++ffvy888/k5iYeEJmgOnTp1NcXMzQoUPLbXe5XOzfv79cyf3n5wPg6enJFVdcwRVXXIHL5eLee+/lgw8+4J///CdNmzalSZMmHDt2zD3z/EwNGzaMMWPGuJd02b17NxMmTCg3pjKvL/w+2/s4wzDYu3cv7du3P2WOJk2a8OOPP3LRRRf95cFHK8Pf35+JEycyevRopk+fzg033ECTJk2Asg9/KvLaRUdHc++993LvvfeSlpZG586def75590lekhICNnZ2SfcLjEx8YRvHPzZX32QdLqfv4iIiIice1rORURERESqzN///nf8/Py48847SU1NPWH/vn37ePPNNwG4/PLLAXjjjTfKjfn3v/8NwJAhQ8ptT0pKYtasWe7rubm5fPrpp3Ts2JGoqCgAbDYbhmGUu91XX33FkSNHym3LzMwsd93T05PWrVtjGAYOh6OiTxeAJ598EsMwGDVqFIWFheX2JSQk8Pe//53o6GjGjBlzwm3ffvtt92XDMHj77bfx8PCgX79+J81ptVrdBXRxcTFQNkt65cqVLFiw4IT7z87OprS0tELPIzg4mIEDBzJ9+nSmTZuGp6cnw4YNKzemoq/vcZ9++mm5pW5mzJhBcnKyu3g+meuvvx6n08lzzz13wr7S0tKTFtUVcfPNN9OgQQNefvllALp06UKTJk149dVXOXbs2Anj09PTgbKZ5H9eqiYiIoKYmBj3zwDKyv9ff/2VkpIS97Y5c+Zw6NCh02bz8/MDOOG5VeTnLyIiIiLnnmaii4iIiEiVadKkCVOnTmXEiBG0atWK2267jbZt21JSUsKKFSv46quvGDVqFAAdOnRg5MiRfPjhh2RnZ9O7d29Wr17NJ598wrBhw+jbt2+5+27evDl33HEHa9asITIyko8//pjU1FQmT57sHjN06FCeffZZRo8eTc+ePdmyZQtffPHFCTOBBwwYQFRUFBdddBGRkZHs2LGDt99+myFDhlT4wKjH9erVi1dffZVHHnmE9u3bM2rUKKKjo9m5cyf/+c9/cLlczJ07l5CQkHK38/b2Zv78+YwcOZILL7yQefPm8f333/PEE0+4lyy58847ycrK4tJLL6VBgwYkJiby1ltv0bFjR/fs/XHjxvHdd98xdOhQRo0aRZcuXcjPz2fLli3MmDGDAwcOnHSW+MmMGDGCW265hXfffZeBAwcSHBxcbn9FX9/jQkNDufjiixk9ejSpqam88cYbNG3alLvuuuuUGXr37s2YMWN48cUX2bhxIwMGDMDDw4M9e/bw1Vdf8eabb3LddddV6Pn8kYeHBw8++CDjxo1j/vz5DBo0iI8++ojBgwfTpk0bRo8eTf369Tly5AiLFi0iMDCQ2bNnk5eXR4MGDbjuuuvo0KED/v7+/Pjjj6xZs4bXXnvNff933nknM2bMYNCgQVx//fXs27ePzz//3D3j/a906dIFgAceeICBAwdis9m44YYbKvTzFxEREZHzwBARERERqWK7d+827rrrLiM+Pt7w9PQ0AgICjIsuush46623jKKiIvc4h8NhPPPMM0ajRo0MDw8PIzY21pgwYUK5MYZhGHFxccaQIUOMBQsWGO3btze8vLyMli1bGl999VW5cUVFRcajjz5qREdHGz4+PsZFF11krFy50ujdu7fRu3dv97gPPvjA6NWrl1GvXj3Dy8vLaNKkiTFu3DgjJyfHPWby5MkGYCQkJFToOS9dutS46qqrjLCwMMPDw8No2LChcddddxkHDhw4YezIkSMNPz8/Y9++fcaAAQMMX19fIzIy0pg4caLhdDrd42bMmGEMGDDAiIiIMDw9PY2GDRsaY8aMMZKTk8vdX15enjFhwgSjadOmhqenpxEWFmb07NnTePXVV42SkhLDMAwjISHBAIxXXnnllM8hNzfX8PHxMQDj888/P2F/RV/fRYsWGYDxv//9z5gwYYIRERFh+Pj4GEOGDDESExNPeC3i4uJOeKwPP/zQ6NKli+Hj42MEBAQY7dq1M/7+978bSUlJp8xvGIYxceJEAzDS09NP2JeTk2MEBQWVy7phwwbjmmuucf+3EBcXZ1x//fXGTz/9ZBiGYRQXFxvjxo0zOnToYAQEBBh+fn5Ghw4djHffffeE+3/ttdeM+vXrG15eXsZFF11krF279oTX5vjPYfLkye5tpaWlxv3332+Eh4cbFovFOP42raI/fxERERE5tyyG8afvY4qIiIiIVDPx8fG0bduWOXPmmB1FRERERETqGK2JLiIiIiIiIiIiIiJyCirRRUREREREREREREROQSW6iIiIiIiIiIiIiMgpaE10EREREREREREREZFT0Ex0EREREREREREREZFTsJsdoDpwuVwkJSUREBCAxWIxO46IiIiIiIiIiIiInGOGYZCXl0dMTAxW66nnm6tEB5KSkoiNjTU7hoiIiIiIiIiIiIicZ4cOHaJBgwan3K8SHQgICADKXqzAwECT04iIiIiIiIiIiIjIuZabm0tsbKy7Hz4VlejgXsIlMDBQJbqIiIiIiIiIiIhIHXK6Jb51YFERERERERERERERkVNQiS4iIiIiIiIiIiIicgoq0UVERERERERERERETkEluoiIiIiIiIiIiIjIKahEFxERERERERERERE5BZXoIiIiIiIiIiIiIiKnoBJdREREREREREREROQUVKKLiIiIiIiIiIiIiJyCSnQRERERERERERERkVNQiS4iIiIiIiIiIiIicgoq0UVERERERERERERETsHUEv29996jffv2BAYGEhgYSI8ePZg3b557f1FREWPHjqVevXr4+/tz7bXXkpqaWu4+Dh48yJAhQ/D19SUiIoJx48ZRWlp6vp+KiIiIiIiIiIiIiNRCppboDRo04KWXXmLdunWsXbuWSy+9lKuuuopt27YB8PDDDzN79my++uorlixZQlJSEtdcc4379k6nkyFDhlBSUsKKFSv45JNPmDJlCk899ZRZT0lEREREREREREREahGLYRiG2SH+KDQ0lFdeeYXrrruO8PBwpk6dynXXXQfAzp07adWqFStXrqR79+7MmzePoUOHkpSURGRkJADvv/8+48ePJz09HU9Pzwo9Zm5uLkFBQeTk5BAYGHjOnpuIiIiIiIiIiIiIVA8V7YWrzZroTqeTadOmkZ+fT48ePVi3bh0Oh4P+/fu7x7Rs2ZKGDRuycuVKAFauXEm7du3cBTrAwIEDyc3Ndc9mP5ni4mJyc3PLnURERERERERERERE/sxudoAtW7bQo0cPioqK8Pf3Z9asWbRu3ZqNGzfi6elJcHBwufGRkZGkpKQAkJKSUq5AP77/+L5TefHFF3nmmWeq9omIiEiNZxgGxcXFFBQUUFxcjMPhoLS0FIfD4T65XC73yTCMk17+4/XjX/j643lVXT7b+/jj/fzV5YqOO5PbVPdxf3Wb88WsLw3Wtcc9HYvFcsb7z3SfWbetjpnO5rbVMVNlbnuyy6fbr/uoGY99ri6fj8cw6/LpxomIiJwrppfoLVq0YOPGjeTk5DBjxgxGjhzJkiVLzuljTpgwgUceecR9PTc3l9jY2HP6mCIiUj24XC4yMzM5cuQIGRkZZGVlcfToUfLy8igoKMDlcpkdUUREREQq6Y9F+59PVqv1L/fXhnFWq9W9/3xc/qv9IiK1kekluqenJ02bNgWgS5curFmzhjfffJMRI0ZQUlJCdnZ2udnoqampREVFARAVFcXq1avL3V9qaqp736l4eXnh5eVVxc9ERESqq+LiYnbt2sWOHTtISEigqKjoL8d7eHjg5eWFh4cHHh4e2O129+XjbxBO9qbhZG8uqnIGVlXcx5/vr6KXz3RfVY+rTvdRGefrDeX5fONaG5/TqZxudvxf7T/TfWbdtjpmOpvbVsdMlbntyS5X9ls0uo/q+9hV+e20qr6v8325KlT1/cmZO9OC3mazndHlc3274ye73Y7NZqsWf5uIyPlneon+Zy6Xi+LiYrp06YKHhwc//fQT1157LQC7du3i4MGD9OjRA4AePXrw/PPPk5aWRkREBAALFy4kMDCQ1q1bm/YcRESkesjOzmblypVs3LiR4uJi93a73U5MTAyRkZGEhoYSEhJCUFAQvr6++Pr64uHhYWJqERERkbqlqj4sONnp+PJ6pzvV1HF/3H66JQer6vLpVHRcTXW8XD9eqp+saD/V9cqOsdvt7tPxyT1/vq5iX+T8MLVEnzBhAoMHD6Zhw4bk5eUxdepUFi9ezIIFCwgKCuKOO+7gkUceITQ0lMDAQO6//3569OhB9+7dARgwYACtW7fm1ltvZdKkSaSkpPDkk08yduxYzTQXEanDiouLWbZsGStXrqS0tBSA0NBQ2rRpQ4sWLYiOjsZms5mcUkRERERA65rXNCcr18+mlP/zyel0/uXl0+0/07Enu53T6TzhGw7HxzocDpN+Aif6q5K9ItePf+vW09PzhMt/Ptf/q1JXmVqip6Wlcdttt5GcnExQUBDt27dnwYIFXHbZZQC8/vrrWK1Wrr32WoqLixk4cCDvvvuu+/Y2m405c+Zwzz330KNHD/z8/Bg5ciTPPvusWU9JRERMlpyczIwZM8jMzAQgPj6eiy++mMaNG2O1Wk1OJyIiIiJSs1ksFveM6brgeJl+/FRaWlru+sm2VcWY45cdDgelpaXu0/Hrf3R83/lwupL9z+fHl1Q+fvL09Dzhut6nSU1gMbRoGLm5uQQFBZGTk0NgYKDZcURE5Axt3ryZb7/9FqfTSUBAAEOGDKFFixaaLSEiIiIiIrWGYRjuov1UJXtlrv/xVFJScsL5uS7o/1is/7lk//PJx8cHb29v9/nxU135UEeqXkV74Wq3JrqIiMiZWLVqFfPmzQOgefPmDBs2DF9fX5NTiYiIiIiIVC2LxeJeisXb2/ucP97x5WtOVrKfqng/fl5SUkJxcfFJT8fXzj8+Li8v74wzenp6nlCwn+rcz8/PfTwsT0/PqnqZpJZTiS4iIjXe6tWr3QV6t27dGDRokL4SKCIiIiIiUgWsVqt7JnhVMQyD0tJSiouL/7Jo/+OpqKiIoqIiCgsL3ZdLSkqA34v4nJycSuWw2+3lSnVfX9+/vO7j46P3mnWUSnQREanRdu7c6S7Qe/XqRd++fbV8i4iIiIiISDVmsVjc66ufDafTWa5Y//P5n7cVFhZSUFBAQUGBe0mcnJycCpfvVqsVPz8//P39CQgIwN/f33368/WzfW5SvahEFxGRGis5OZmvv/4awzDo3LmzCnQREREREZE6xGaz4efnh5+fX6VuZxgGxcXF7kK9oKCA/Pz8k14+fv34EjR5eXnk5eWRnJz8l4/h7e3tLtQDAwPdp6CgIPe5j4+P3sPWECrRRUSkRiopKWHGjBk4HA6aNGnCkCFD9MeHiIiIiIiInJbFYnEflDQ0NLRCtyktLSU/P59jx45x7Ngx8vLy3Jf/fP34DPmioiIyMjJOeZ92u/2EYv142R4cHExwcLDWba8mVKKLiEiNNG/ePDIzMwkICODaa6/V0dhFRERERETknLHb7QQFBREUFPSX4wzDoKioqFypnpubS25uLjk5Oe7zgoICSktLycrKIisr65T35+/vT3BwMCEhIe7T8euBgYFao/08UYkuIiI1zs6dO9mwYQMA11xzDb6+viYnEhERERERESmb5e7j44OPjw8RERGnHOdwOMjLy3MX638u2bOzsykuLnYX8YcPHz7hPqxWK0FBQYSEhBAaGkq9evXcp+DgYE02q0Iq0UVEpEYpLi5m7ty5AFx00UU0atTI5EQiIiIiIiIilePh4UFoaOgpl5MxDIPCwkKys7M5evSo+3T8enZ2Ni6Xy719//795W5vtVrLFethYWHuy35+floOtZJUoouISI2yaNEicnNzCQ4Opnfv3mbHEREREREREalyFosFX19ffH19iYmJOWG/y+UiNzfXXapnZWWRkZFBZmYmWVlZlJaWkpGRcdI12b29vQkLCyM8PJzw8HCioqJo3Ljx+XhaNZZKdBERqTFSU1NZtWoVAEOGDNEBVkRERERERKROslqt7oOPxsfHl9t3vGA/Xqr/8ZSdnU1RURGHDx92LxETExPD3/72NxOeRc2hEl1ERGqMhQsXYhgGrVq1olmzZmbHEREREREREal2/liwN23atNw+h8NBVlYW6enp7lNYWJhJSWsOlegiIlIj7Nu3j71792K1Wunfv7/ZcURERERERERqHA8PDyIjI4mMjDQ7So1iNTuAiIjI6bhcLhYuXAjABRdcQL169UxOJCIiIiIiIiJ1hUp0ERGp9nbu3ElKSgpeXl706tXL7DgiIiIiIiIiUoeoRBcRkWrNMAyWLl0KwIUXXoifn5/JiURERERERESkLlGJLiIi1dru3btJSUnB09OT7t27mx1HREREREREROoYHVi0jss+lsWsWe9SanHitLhwWJyU4sJis2K3e2Cze2C3eeBn9yXAwx8/D38CPP0J8QzBZrWBYWBggFE2W7Ts5AKXgcvlwjBcGIYBLtfv+92XXRguo9xlfhtv/GG8zW7Hardjs3tgs9uxeXiUnex27B5eePn64unri5evH16+vtjsHma/rCJSRQzDYMmSJUDZWui+vr4mJxIRERERERGRukYleh2XlZ1G1pxfT7rP+YfLuUDyeUl09uwennj6+uIbFIxvUDB+wSFlp6Bg/EJCCQyPJDgyCt+gYCwWi9lxReQv7Nu3j6SkJOx2Oz169DA7joiIiIiIiIjUQSrR67gAnwDyG/liNazYDAtWlwWrATgNDKcTnGUzxJ04cRpOnIaLUqMUFwaUzUEvY6HssgW87N74efoT4BVAoFcgnnYvLFYrFoul7GS1gsWCxfLbNusfL/9pHBZczlKcDgelpQ5cpeUvO4qLKSnIp7iwEEdRIQCljhJKc0ooyMn+y+du9/IiOCKKoMgogiOjCYuNI6xhPPUaxOLh5X2uXnIRqYRly5YB0LVrV/z9/U1OIyIiIiIiIiJ1kUr0Oi68Xn2eeml6pW5jGAYZhRkcyjvE4WOHSchJYEfWDnZm7iSzKPOE8U2CmtA7tjd9Y/vSLqxd2TIw54DL5aSkoJDignyKC/IpyMmmICeb/Oyj7tOxo5nkpKWSl5lBaXExGYcSyTiUWO5+LBYrwVHRhDeMJ6pZC6KbtSCycVM8PL3OSW4RObnk5GQOHDiA1WrVLHQRERERERERMY3FMAzj9MNqt9zcXIKCgsjJySEwMNDsODVaRmEGm9I2sTZ1LWtT17Ira9cf56sT6h1K39i+DG08lM6RnbFazDm2rbPUQW56GjmpKWSnpXI06TAZhw6QnniAwrzcE8ZbbTYi4hsT3bwlsW3a07BNe7x8/UxILlJ3zJo1i02bNtG2bVuuu+46s+OIiIiIiIiISC1T0V5YJToq0c+lnOIcViStYNGhRSw7vIw8R557X7RfNEMaD+GqJlcRHxRvXsg/MAyDgpxs0g8eIC1hH8l7dpG8Zyf52UfLjbNYrEQ1bUZc+07Ed+hCTLMWvy0/IyJVIS8vj9dffx2Xy8Wdd95JgwYNzI4kIiIiIiIiIrWMSvRKUIl+fjhcDtamrGVewjwWJi7kmOOYe1+P6B6MaDmC3g16Y7dWr1WGDMMgNz2N5D07ObxzOwe3bORo8pFyY3yDgmnatTtNu/WgYdv22OweJqUVqR1+/vlnli5dSmxsLHfccYfZcURERERERESkFlKJXgkq0c+/otIiFh9ezHd7v2PZkWXuJV+i/KK4ueXNDG8xHD+P6rtcSm5GGombN5K4eQMJG9dRUljg3ufp40uzC3vSpnc/GrRsoxnqIpXkcDh4/fXXKSgoYPjw4bRp08bsSCIiIiIiIiJSC6lErwSV6OY6nHeY6bunM2vPLLKLswEI9Azk5lY3c1PLmwj2DjY13+k4Sx0c2rqZvWt/Ze+aX8st/RIYHkHrS/rSunc/QqJiTEwpUnNs3LiRb775hqCgIB544AFstnNzMGIRERERERERqdtUoleCSvTqodhZzPf7v+fjrR+TmJsIgI/dh5tb3czotqMJ9Kz+PxvD5eLIzu1s/+Vndq1cVm6GenyHznQcOJRGnbpgtaoUFDmVjz76iMOHD9OvXz8uueQSs+OIiIiIiIiISC2lEr0SVKJXL06Xkx8P/shHWz5iZ9ZOoGxm+h3t7uDGljfiY/cxOWHFOEqK2bd2FduW/MSBTevht//VgiIi6XDZ5bTrNxBvP3+TU4pULykpKbz//vtYrVYeeeQR/P31/4iIiIiIiIiInBsq0StBJXr1ZBgGiw4t4q0Nb7E3ey8AET4RPNTlIYY2HorFYjE5YcVlp6awaeFctv78A0X5ZQdU9fTxpePAIXS5/Cp8g4LNDShSTcyZM4e1a9fSunVrrr/+erPjiIiIiIiIiEgtphK9ElSiV29Ol5PvE77nnQ3vkJSfBEDH8I48ceETtKrXyuR0leMoLmLn8qWs+/4bMg8fBMDu6UW7fgO44IprCagXZnJCEfMUFxfz2muvUVJSwm233Ubjxo3NjiQiIiIiIiIitZhK9EpQiV4zlDhL+Gz7Z3yw+QMKSwuxYGF48+Hc3+n+an/w0T8zXC72rlvFqpnTSd2/BwCbhwcdBw7lwmHD8QnQf4dS96xbt47Zs2cTGhrK/fffX6O+bSIiIiIiIiIiNY9K9EpQiV6zpOSn8O+1/2begXkAhHqHMuHCCQyMG1jjSjfDMEjcspFfv57GkZ3bAPDy9aPbsOF0GnwFHp5eJicUOX8++OADkpOTGTBgAD179jQ7joiIiIiIiIjUcirRK0Eles20JmUNz//6PPty9gHQv2F//tH9H4T51LwlUQzD4MDGdSydOoWMgwcA8A+txyU3jaLVxX1q3IcDIpV15MgR/vOf/2Cz2XjkkUfw8/MzO5KIiIiIiIiI1HIq0StBJXrNVeIs4T9b/sNHmz+i1CglyCuI8ReMr3EHHj3O5XKyc9kSln35GXkZ6QA0aNWWfrffTVjDeHPDiZxDs2fPZt26dbRr145rr73W7DgiIiIiIiIiUgdUtBe2nsdMIlXO0+bJ2I5j+d/Q/9EqtBU5xTk8sewJHlvyGLkluWbHqzSr1UbrXpdy++sfcPENt2H39OLwjq18Ov4BFn/6EcUFBWZHFKlyDoeDrVu3AtCpUyeT04iIiIiIiIiIlKeZ6Ggmem3hcDmYvHUy7218j1KjlGi/aF7u9TKdImpuKZebnsaiT/7D3jUrgbIlXi7723007nSByclEqs6WLVv4+uuvCQoK4sEHH8Rq1ee7IueK4TJwlDhxFP/hVPTH66U4ip04HQZOpwtnqQtXqfHbedl1p9Nwb3e5fvsz0jAwAAww3Bd+2wVYAKvNgsVqwWqzYLVasNqsWNyXy84tNgs2uxW7hxW7p+33c89TbPO04eFlw9PHjtVa876BJiIiIiIi5tJyLpWgEr122ZK+hfG/jOdQ3iGsFit3t7+bu9rfhd1qNzvaGUvYsJafJ39AdmoyAG369KfPbXfi7edvcjKRs/fZZ5+xb98+evfuTd++fc2OI1JjOJ0uCnMdFOQWU5BTQuExB8UFDoryHRTnl1KU/9vlglKKjjkoKnDgKHa6y+3axu5lw8u7rFD39LHj6W3D0/v4ZTuePmX7vP098Pb7w8nfAy8fOxaV8CIiIiIidY5K9EpQiV775Dvyef7X55m9fzYAXSK78GrvV2vkQUePcxQXsWzaZ6yf9x0YBv6h9Rjwt/tp1Kmr2dFEzlhOTg6vv/46AA888AChoaEmJxIxn2EYFOU7OJZVTF5mEXlZReTnFFOQW0LBb+f5OSUUHXOc+YNYwMPL5j55etvdl4/P9rbay2aF22xWbB5lM8dt9j9st1uxWCg7Bslv/XPZ4UgsZee/b8YAXE4Dw2Xgcv52chm4nK7ft/127ix1UVriotThxFniwlHiwulwlj8vcVLqcOEoceIqPfs/ZS0W8PpTse7tZ8fb3xPfAE98g/5wHuiJt5+HSncRERERkVpAJXolqESvvebsn8O/fv0X+Y58InwieK3Pa3SM6Gh2rLNyeOc2Frz3BtkpZbPSO1x2Ob1vuwMPTy+Tk4lU3tKlS/n555+Ji4tj9OjRZscROW9KikrJSSskO62AnPRC8rKKOPZbYZ53tJjSYmeF7sdqteATWFbs+gR44OX7WwHsa3eXwl6+dnc57OlTVpbbPay1pgR2OlyUFJWWnQqdlBT+drnoD5cLy/Ydn6lflP/b7Pz832bnV5LFasEnwAPf3177309e+AV74R9SdvIN9MRq0xJVIiIiIiLVlUr0SlCJXrsl5CTw0KKH2J+zH7vVzoRuExjefHjZzLkaylFcxLL/fVo2Kx0IbxjPkIfGU69+rMnJRCrOMAzeeustsrKyuOqqq3RQUal1XE4X2WmFHE3J/70wTyskO7WAgtyS097eJ9CTgFBvAkK98Q/2KpsF/dtMaL8gL82IriJOh4uiAoe7VC/K/8PlYw4K8kooyCmhILeEwryyZXMquiSOxQK+Qb+V6sFe+IV44R/sjX/I8ctlpbvNrqJdRERERMQMKtErQSV67ZfvyOefy//JwsSFAFzV5Cr+2eOfeNlq9uztAxvXMfedf1OYm4Pdy4t+t99Dm979avQHBFJ3HDx4kI8//hgPDw8ee+wxvLxq9v+PUncZhkFeZhFZSflkJh0rOz+Sz9HU/L9casTb34PgCB+CInwJqOftLswDQr3xD/XC7mE7j89CKsrpdFGU5yhbXsd9KnZfzj9azLGjxeRnF/9+4NW/YgG/IC8Cw7wJqOdNYD2f3869CQzzwS/EC5tms4uIiIiInBMq0StBJXrdYBgGk7dN5s31b+IyXHQI78Cbfd+knk89s6OdlWNHs5j39msc3LoJgNaX9KX/XWPx8PI2OZnIX/vuu+9Yv349HTp04OqrrzY7jkiFuJwujqYUkJaYS3piHumH8sg8kn/KJUHsXjZCo3wJivB1F+bBkWWXvXw9znN6OZ8Ml0FBXgn52WWlelmxXkReVvFv24o4ll182jXdLVYL/sFeZcV6mDcB9XwICvMmKMKXoAifsm8j6MNzEREREZEzohK9ElSi1y0rk1by6JJHySvJo75/fd7p9w5NgpuYHeusuFxO1nz7Ncunf47hchER34SrHvsHgeERZkcTOamSkhJeffVVSkpKGDVqFPHx8WZHEjmB4TI4mlJA6oFc0g/mkZaYS+bhY5Q6XCeMtdoshET5EhrjT2iMH/Xq+1Mvxo+AUG8ttyKnZBgGhXkOcjMLycssIjfjt/PMot/OC09bsnv52gkK93GX6sF/OPf20wc1IiIiIiJ/RSV6JahEr3v25+znvp/u41DeIfw9/Hmtz2v0jOlpdqyzdnj7Vr57/UUKc3PwCQjkikcmENu6ndmxRE6wefNmZs6cSXBwMA888ABWq5YqEPM5ip2kHsglZV8OyftySE3Iobig9IRxHl42whsGuE9hsf4ER/pqyQ2pcobLoCC3hNxyBXshuRmF5KQVcuxo8V/e3svPTlD479+CCInyJSTKj+BIHy0XJCIiIiKCSvRKUYleNx0tOspDix5ifdp6bBYb/+j+D4Y3H252rLOWm5HGt68+T1rCPqw2G31G3kXHAUP0VW+pVr744gv27NlDr169uPTSS82OI3VU0TEHR/YcJWl3Nin7c0g/dAzjT2tY2z2shMcFEBEXSERcWWkeHOGr2eVSLThKnOSmF/7hwLUFZKcVkpNeSH72qQt2iwUCwnwIjfZzF+sh0b6ERvnh6WM/j89ARERERMRcKtErQSV63VXiLGHiionM2T8HgHs73svd7e+u8YWzo7iIHz54i53LlwDQ4bLBXDr6bqw2zToT8xUUFPDqq6/icrkYO3Ys4eHhZkeSOqKksJSkvdkc3nWUI7uOknH4GPzpryC/YC+imwQR1SSI6CZB1GvgrxnmUiM5ip3kpBf+VqwXkJNWyNGUAo6m5J/0GxbH+QV7lS1NFO1HSLQfodFlyxRpaRgRERERqY0q2gtrqonUaZ42T164+AXq+9fng80f8O7Gd8kqzOLxbo9js9bcwtnDy5vL73+MiEZNWPrFZDYtnEdeZgZDHxyPh7cOOCrm2r59Oy6Xi8jISBXock65nC5S9udycFsmh3cdJS0x74SZ5iHRfjRoHkx002CimgQREKp/I6V28PCyEdbAn7AG/uW2G0bZEjFHUwo4mpzP0ZQCspLzOZqST0FO2YFQ87OLObzzaLnb+Yd4ERrjT1gDv9/Of1vGyK4PmURERESk9tNMdDQTXcpM3TGVl1a/hIHBwPiBvHDxC3jaPM2Oddb2rF7B3P97lVJHCVFNmjHs70/hFxxidiypw6ZMmcKBAwfo378/F198sdlxpJbJzynm4LYsErdmcnhn1gkzbgPDfWjQIoQGLUKIaR6MX5CXSUlFqp/iAod7tnpW8m/nSfnkZRaddPzxA+rWq+9f7uQX7Fnjv9UnIiIiInWDlnOpBJXoctz8hPlMWDaBUlcp3aO782bfN/H18DU71llL2r2DWZOeoygvl6CISK6Z8AyhMQ3MjiV1UG5uLv/+978BeOihhwgODjY3kNR4hssg9UAuiVszSdyaSfrBvHL7vfzsNGxdj9hWIdRvEUJgPR+TkorUXCWFpWQm5ZN55Njvp8PHKClynnS8l6+dsFh/wmN/PwBvUIQvVh1LQERERESqGZXolaASXf5oRdIKHlr0EIWlhXQM78i7/d8lwDPA7FhnLSvpCDNfmkhOagreAYFc98SzRDZuanYsqWNWrFjBDz/8QGxsLHfccYfZcaSGcjpdJO3OZv+GdPZvSqcgp6Tc/oi4ABq2qUdc23pExAequBM5BwzD4NjRYjIPHyMzqaxUzziST3ZqwQnLJgHYvWyE1ff/rVQvOw+J9tMxB0RERETEVCrRK0EluvzZ1oyt/G3h38gryaNdWDve6/8eQV5BZsc6awU52cx6+RlS9u3B08eXax5/mvotW5sdS+qQDz/8kKSkJC6//HK6detmdhypQUpLnBzcnsX+jekc2JxRbpkWT2+buzRv2KYevoE1fykukZrK6XCRlZxPxuE80g8eI/1gHhmH8ygtcZ0w1mq3EFbfn7CGAe5Z62H1/bF5qFgXERERkfNDJXolqESXk9mZtZO7friL7OJsWoW24sPLPiTYO9jsWGetuKCAbyY9y+EdW7F7eTFs3D+Ja9fR7FhSB2RmZvLWW29hsVh49NFH8ff3P/2NpE5zOlwkbstkz5pUDmzJKFfC+QR40KhDOI07hdOgeYhKN5FqzOUyyE4tIP1gHumH8sg4mEf6oWOUFJaeMNZqtxDWIIDI+EAi4wOIiA8kOMIXi75RIiIiIiLngEr0SlCJLqey5+ge7vzhTrKKsmgW0oz/XPYf6vnUMzvWWXMUF/Hday9wYNN6bB4eXPHwBJp00axgObeWLFnCokWLaNKkCbfeeqvZcaSacrkMjuw+yp41qezfkF5uxnlAqDeNO5YV51FNgrRMi0gNZhgGuRlF5Yr1tMQ8ivIdJ4z18rUTEVdWqEfGBxLZKEjfOBERERGRKlEjSvQXX3yRmTNnsnPnTnx8fOjZsycvv/wyLVq0cI/p06cPS5YsKXe7MWPG8P7777uvHzx4kHvuuYdFixbh7+/PyJEjefHFF7Hb7RXKoRJd/sr+7P3c+cOdpBem0zioMR8N+Ihw33CzY521UoeD7998mb1rfsVqszH0wfE0u7Cn2bGkljIMg3feeYeMjAyGDRtGx44dzY4k1YhhGKQl5rFndSp71qWWW+PcL9iLZl0jaHZBJOENA7BYVJyL1FbHi/W0A7mkHsglNSGX9EN5OB0nLgXjH+pFZHwgEfGBRDUOIiIuALuHzYTUIiIiIlKT1YgSfdCgQdxwww1ccMEFlJaW8sQTT7B161a2b9+On58fUFaiN2/enGeffdZ9O19fX/eTcjqddOzYkaioKF555RWSk5O57bbbuOuuu3jhhRcqlEMlupxOYm4idyy4g9SCVJoENeHjQR8T6h1qdqyz5iwtZf67r7Nz+RKsNhtXPvoETbpcaHYsqYWSk5P54IMPsNlsjBs3Dm9vb7MjSTWQn1PMrlUp7FyRzNGUAvd2L187TbpE0PyCSGKaBmsZB5E6zOl0kXUkn9QDue5yPSs5H/70DsZqsxDeMICoJkFENwkiqnEQfkFe5oQWERERkRqjRpTof5aenk5ERARLliyhV69eQFmJ3rFjR954442T3mbevHkMHTqUpKQkIiMjAXj//fcZP3486enpeHqe+FXP4uJiiouL3ddzc3OJjY1ViS5/6VDeIUbNH0VaQRotQ1vy0YCPasXBRl0uJ/Pe/jc7ly/BZrdz1bh/0qhjF7NjSS2zcOFCli9fTqtWrRgxYoTZccRETqeLxC2Z7FiRTOLWTAxX2Z8hdg8rjTqG0/yCSGJbh2Kza41zETm5kqJS0hPzymarH8glZV8OBbklJ4wLDPP+rVQPJqpxEKExfloGSkRERETKqZEl+t69e2nWrBlbtmyhbdu2QFmJvm3bNgzDICoqiiuuuIJ//vOf+Pr6AvDUU0/x3XffsXHjRvf9JCQk0LhxY9avX0+nTp1OeJynn36aZ5555oTtKtHldA7kHGDU/FFkFmXSLqwdH172If6eNf/giC6nkzlvvsyeVSuwe3gybPxTOtioVBmXy8Wbb75JTk4Ow4cPp02bNmZHEhNkJeezc0UyO1elUPiHsiuyUSCtekbTrGsknj4VW4ZNROSPDMMgL7OI5H05pOzLIXlfDplJx06Yre7pbSOy8W8z1ZsEEdUoCA8vLQEjIiIiUpfVuBLd5XJx5ZVXkp2dzbJly9zbP/zwQ+Li4oiJiWHz5s2MHz+ebt26MXPmTAD+9re/kZiYyIIFC9y3KSgowM/Pj7lz5zJ48OATHksz0eVs7Dm6h9sX3E52cTadIzrzXv/38PXwNTvWWXOWOvju3y+yf91q7F5eXDvhGRq0amt2LKkFDh48yMcff4ynpyfjxo3Dw8PD7EhynjidLhI2ZrB1yWGO7M52b/cJ8KBF92ha9YgmNMbPvIAiUmsVF5aSmpDjLtZTE3JxFDvLjbFaLUTEBxDTLISY5sFENwnC01sf5omIiIjUJRUt0avNX4ljx45l69at5Qp0KCvJj2vXrh3R0dH069ePffv20aRJkzN6LC8vL7y8tEainJlmIc344LIPuHPBnaxPW88Dix7gnX7v4GWr2f9N2eweXPHwBL599V8c2LiOWS8/w/VPvUhk46ZmR5MabsuWLQC0atVKBXodcexoMduXHWHbsiT3QUItFohrF0arntHEtauHzablWkTk3PHysdOwdT0atq4HgMvpIjMp3z1TPXlvNseOFpOyP5eU/bmsX5CIxWohPNafmGbBxDQPIaZpEF6++r0lIiIiItWkRL/vvvuYM2cOS5cupUGDBn859sILyw56uHfvXpo0aUJUVBSrV68uNyY1NRWAqKiocxNY6rzW9Vrz3mXv8bcf/saq5FU8tvgxXu/7OnZrtfhf6ozZPTy48tEnmPXi0xzavoWZLz3Njc++QnBUtNnRpIZyOp1s27YNwL1Ml9ROhmFwZHc2W5ccZv/GDPda5z6BnrS5OIbWF8cQEKoDyoqIOaw2K+GxAYTHBtCuTwP3EjBHdmeTtOcoSXuyyc0oIi0xj7TEPDb+eAgsENagrFSv3yyEmGbBePurVBcRERGpi0xdzsUwDO6//35mzZrF4sWLadas2Wlvs3z5ci6++GI2bdpE+/bt3QcWTU5OJiIiAihbAmbcuHGkpaVVaMZ5Rafti/zZmpQ13PPjPRQ7ixnWdBjP9nwWi6XmH7CquCCfL59+nPTEBIIjo7nh2Un4BYeYHUtqoL179/L555/j6+vLo48+is2mtWdrm1KHk92rU9n00yGykvLd26ObBtGudwMadwrXQUJFpEbIyyoiaU82SbuPcmRPNjlphSeMqVffnwYtQ2jQsqxU1/IvIiIiIjVbjVgT/d5772Xq1Kl8++23tGjRwr09KCgIHx8f9u3bx9SpU7n88supV68emzdv5uGHH6ZBgwYsWbIEKJvl2LFjR2JiYpg0aRIpKSnceuut3HnnnbzwwgsVyqESXc7GooOLeHjxwzgNJ7e3vZ2HuzxsdqQqcexoFtOeGkdOWioRjZowYuKLePrU/LXf5fyaNWsWmzZtomvXrgwdOtTsOFKFCo+VsHXJEbYsPkxhngMAu5eNFhdG0bZXfcIa1PyDLotI3ZafU/xbqZ7NkT3ZHE3OL7ffarUQ2SiQ+i1DiG0ZQmSjIH1oKCIiIlLD1IgS/VQzdidPnsyoUaM4dOgQt9xyC1u3biU/P5/Y2FiuvvpqnnzyyXJPKjExkXvuuYfFixfj5+fHyJEjeemll7DbKzYzRCW6nK1Ze2bx1IqnAHis62OMbDPS5ERV42jyEf731N8pzM2hYdsOXP3409i1prVUkMPh4JVXXqGkpITRo0cTFxdndiSpAtmpBWz86RC7ViZT6nAB4B/iRfu+sbS+OFrrB4tIrVWQW8KR3Uc5vPMoh3dmkZtRVG6/3dNKTLNgGrQIpUHLEMIa+GOx1vxvKIqIiIjUZjWiRK8uVKJLVfhoy0e8uf5NAF64+AWuaHKFyYmqRsq+PUx/ZgKO4iJaXdKXwWMfqRVL1si5t337dqZPn05gYCAPPfQQVqtm59VkyftyWL8gkQNbMuC3vxzCGwbQsX8sTbpE6EChIlLn5GYUugv1w7uOur+Vc5y3nwf1W4QQ2yqE2FahBIb5mJRURERERE6lor2wFvETqSJ3tL2DrKIsPtv+GU8tf4pgr2AuaXCJ2bHOWlSTZlz56BPMfOlpdvyyiNCYBnS/ZoTZsaQG2LJlC1B2QFEV6DWTYRgc3nmUdfMOcGR3tnt7fLt6dOzfkJjmwfpQTUTqrMAwH1pf7EPri2MwXAaZSfnuQj1pdzZF+Q72rU9j3/o0AIIjfWnYJpSGbepRv1kwdk8dJ0RERESkptBMdDQTXaqOy3Dxj2X/YM7+OfjYfZgyaAqt67U2O1aV2LRwLj9+9C4AQx96nBY9LjY5kVRnRUVFvPLKKzidTsaMGUN0dLTZkaQSDMPgwJZM1s07QGpCLgBWm4UW3aPodFlDQqL8TE4oIlK9OZ0u0g7kcXhnFod2ZJGyPxfD9fvbLpvdSkzzYBq2DqVh63qERPvqQ0kRERERE2g5l0pQiS5VyeFyMPbHsaxMXkm4TzhTh0wlyi/K7FhVYtEn/2H93G+xe3gy4umXiGra3OxIUk1t3LiRb775hnr16nHfffepGKghXC6DfevTWDcvkcwjxwCweVhpc3EMHS9rSECot8kJRURqpuLCUg7vzOLgtiwObs/kWFZxuf3+IV5lhXqbejRoGaLjS4iIiIicJyrRK0ElulS1vJI8bpt3G3uz99IspBmfDvoUf09/s2OdNZfLybev/Iv969fgFxzCTc+/RmBYhNmxpBr6/PPP2bt3L3369KFPnz5mx5HTcLkM9q5NZc33B8hOLQDAw8tGuz716dCvIb6BniYnFBGpPQzD4GhKAQe3ZXJoexZHdmfjLHW591usFqIaBdKwbT3i24VRr76fPowWEREROUdUoleCSnQ5F5KPJXPT3JvIKMygZ0xP3u73Nh7Wmj+rqKSwgP899XcyDh4gPK4RNz77Ch7emp0qv8vPz+fVV1/FMAzuv/9+6tWrZ3YkOQXDMNi/MZ3VsxPISsoHwMvXTvtLY2nftwHefjX/3ywRkerOUeIkaU82h36bpX40paDcfv8QL+LbhRHXrh4NWoRoLXURERGRKqQSvRJUosu5si1zG6Pnj6awtJBrm13LxB4Ta8VMotz0NL74xyMU5GTT8qLeXH7/Y7XieUnVWL16NXPnziU6OpoxY8aYHUdOwjAMErdmsuq7/WQcKlu2xcvXTsfLGtK+bwM8vXXccRERs+RmFnJwWxaJWzM5vCOLUsfvs9TtHlYatAolvl094tqG4R/iZWJSERERkZpPJXolqESXc2nxocU8uOhBXIaLBzs/yJ3t7jQ7UpU4vGMrXz33D1xOJ31uu5MuQ4aZHUmqiY8//piDBw8yYMAAevbsaXYc+QPDMDi86yirvt3vPmCoh5eNDv1i6dg/VmvwiohUM6UlTg7vOkrilkwObMng2NHya6mHNwwgrl3Zsi8RDQOwWDWpQURERKQyVKJXgkp0Odem7pjKi6tfBOCVXq8wqNEgkxNVjfXzvmPRlA+xWK0Mf/JfxLZpb3YkMVl2djZvvPEGAA8//DBBQUHmBhK31AO5rJy1lyO7soGy2Yzt+jag04CG+PhrzXMRkerOMAwyj+RzYEsGiVsySEnIhT+8k/MJ9CS+bT0adQwntqWWfRERERGpCJXolaASXc6HSWsm8dn2z/CyefHJ4E9oU6+N2ZHOmmEYzHvn3+z4ZRE+gUHc8uIbBIaFmx1LTLR8+XIWLlxIXFwco0ePNjuOADnpBfz67X72rk0DwGq30PaS+nQeFIdfkJYBEBGpqQpySzi4rWyG+sHtWTiKnO59di8bca1DadQxnLi29XSMCxEREZFTUIleCSrR5Xxwupw8sOgBlh5eSoRvBNOGTCPct+YXzo7iIv731N9JP7CfqCbNGPH0y9g9Nau1rnr//fdJSUlh6NChdO3a1ew4dVrhsRLWzj3A1iVHcDkNsEDLC6PodmVjAkJ1MGARkdrEWeoiaU82CZszSNiYXm7ZF6vVQkzzYBp3DKdRhzD8Q/Q7QEREROQ4leiVoBJdzpdjJce4ee7N7M/ZT/uw9nw86GO8bDV/JmhOWgqfT3iYomN5dLhsMP3vHGt2JDFBeno677zzDlarlcceewxfX1+zI9VJpSVONv18iPXzEyn5bVZiw9ah9LimCWENAkxOJyIi55phGKQfzCNhUwb7N6aTlZRfbn9EXACNOobTuGM4IVG+Oji8iIiI1Gkq0StBJbqcTwdzD3Lj9zeSW5LLFY2v4PmLn68Vb14ObFzH1y89DYbB0IfG06LHJWZHkvNs0aJFLFmyhGbNmnHzzTebHafOMVwGu1ansOrb/e4ZiGGx/vS8uimxrUNNTiciImbJTi1wF+opCTnl1lEPjvSlcccwGneMICI+oFb8TSoiIiJSGSrRK0Elupxvq5JXMWbhGJyGk0e6PMLotrVj7ehl0z5l1azpePr4cMtLbxISFWN2JDlPDMPgrbfeIisri6uvvpoOHTqYHalOSUnIYdn0PaQm5ALgH+JF96sa07xbFBarChERESmTn1PMgc0Z7N+YweFdWbhKf38r6B/qRZPOETTtHEFko0AV6iIiIlInqESvBJXoYob/7fwfL6x6AQsW3u73Nr0a9DI70llzOZ1Mf/YJjuzcRkSjJtz43KvYPXQgq7ogKSmJDz/8ELvdzrhx4/DyqvnLFNUE+dnFrPxmH7t+TQHAw8tGl8FxdOgXi93DZnI6ERGpzkoKS0nclsn+Dekc2JpJafHvByb1D/mtUO8SQWR8oD6QFRERkVpLJXolqEQXMxiGwbO/PsuM3TPw8/Dji8u/oElwE7NjnbW8zAw+Hf8ARXm5dBw4lH633212JDkPFixYwMqVK2nTpg3Dhw83O06tV+pwsumnQ6ydl+guPVr2iKL7sCb4BekDDBERqRxHiZOD2zLZtz6dA5szcPy5UO8UQZPO4UQ1DlKhLiIiIrWKSvRKUIkuZnE4Hdy18C7Wpa4jNiCW/w35H0FeQWbHOmv7N6xh1kvPAHDFIxNofuFFJieSc8nlcvH666+Tl5fHiBEjaNWqldmRai3DMEjYlMHyGXvIzSgCILJRIJeMaE5kvH5/iYjI2SstcXJwexZ716WdUKj7BXvRpFM4TbpEEK1CXURERGoBleiVoBJdzHS06Cg3fn8jR44d4ZL6l/B2v7exWqxmxzprSz7/mLWzZ+Ll68dtr7xFYFiE2ZHkHDlw4ABTpkzBy8uLcePGYbfbzY5UK2WnFfDLtN0c3J4FgF+QJz2uaUrzCyJVYoiIyDlR6nBycFsW+zakcWBTBiVFfyjUgzxp2jWSZhdEEhGng5KKiIhIzaQSvRJUoovZdmTu4NZ5t1LsLOaeDvdwb8d7zY501pylpXw5cTzJe3fRoHVbhv/zeaxWrdFcG82ePZt169bRsWNHhg0bZnacWqfU4WT9goOsn5+Is9SF1W6hU/+GdB4Uh6e3PrAQEZHzw+lwcXBHFvvWpZGwKb1coR4U7kOzCyJp1jWS0Bg/E1OKiIiIVI5K9EpQiS7Vwex9s3li2RMAvH3p2/SO7W1yorN3NCWJz/7+AI7iInrdPJoLrrzW7EhSxZxOJ6+++iqFhYXceuutNGlS89f1r04Obc9iyf92kZNeCEBsqxB63dCC4Ehfk5OJiEhd5nS4OLg9kz1rUknYlEGpw+XeV6++P827RdK0awSB9XxMTCkiIiJyeirRK0ElulQXL6x6gf/t/B8BHgH8b+j/iAuMMzvSWdvy8w/88MH/YbXZufmFfxMR39jsSFKFdu/ezdSpU/Hz8+PRRx/Faq35SxFVB/nZxSz7ag9716UB4BvkycXDm9G0S4S+Li8iItVKSVEpBzZnsGdNKge3ZeFy/f72MqpxEM0uiKRplwh8Az1NTCkiIiJycirRK0ElulQXDqeD2xfczsb0jTQNbsoXl3+Br0fNnnFqGAbfvfY8e9f8Sr0GDbn5xdfx8PQyO5ZUka+//potW7bQrVs3Lr/8crPj1Hgup4sti4+wavZ+HEVOLBZo17cBF17RGE8fLd0iIiLVW1G+g33r09izNpUju7Pht3eaFgs0aBlCswsiadwpAi/9ThMREZFqQiV6JahEl+okrSCNEXNGkFGYweD4wbzc6+UaP/O0IDeHT8fdR372UToNvoJLR40xO5JUgZKSEl555RUcDgd33HEHsbGxZkeq0dIP5vHzZzvIOHQMgMhGgfS+qQXhsQEmJxMREam8/Oxi9q5LY/fqFNIS89zbbR5WGnUIo8WFUTRsHYrVpm+xiYiIiHlUoleCSnSpbtanrueOBXdQapQyrus4bmtzm9mRzlrCxnXMfHEiANdOeIb4jl1MTiRna+vWrcyYMYPg4GAefPDBGv9hj1lKS5ys+T6BDQsPYbgMvHzt9Li6Ca0visFi1WsqIiI1X3ZaAXvXprJ7dSpHUwrc230CPGh+QRQtukcRFuuvvyVERETkvFOJXgkq0aU6mrpjKi+ufhGbxcZ/BvyHC6IuMDvSWfvp4/fZuGAO/vXCGPXqO3j5+pkdSc7CtGnT2LlzJxdffDH9+/c3O06NdGT3URZ9vpOctLIDhzbtEsElI5pr3VgREamVDMMg/WAeu35NYc/aVArzHO59oTF+tLgwiubdIvEP8TYxpYiIiNQlKtErQSW6VEeGYfDEsieYs38Ood6hTB86nUi/SLNjnRVHcRGfjruf7NRk2vYdwMC7HzA7kpyhwsJCXn31VZxOJ/fccw+RkTX7v83zrbiwlJUz97LtlyQA/II86X1TCxp1CDc5mYiIyPnhdLo4tC2LXatSSNiUgbPUVbbDAg1ahNCiexSNO4bj6a3100VEROTcUYleCSrRpboqLC3k1rm3suvoLjpHdOa/A/+L3Vqz30gc3rGVL5+ZAIahZV1qsPXr1/Pdd98RHh7O2LFjzY5ToyRsSmfJ1F3k55QA0OaSGHpc01QHWRMRkTqruMDBvvXp7Pw1meS9Oe7tdk8rjTuF0/LCaOq3DMGqZc5ERESkiqlErwSV6FKdJeYmMmLOCPId+YxuO5pHujxidqSz9vOUD9gwb7aWdanBPv30U/bv38+ll15Kr169zI5TIxTmlbD0y93sXZsGQFC4D31vbUn95iEmJxMREak+cjMK2bUqhV2/ppCTXuje7h/iRcse0bTsEU1QuI+JCUVERKQ2UYleCSrRpbr74cAPPLrkUQDeuvQt+sT2MTfQWXIUFfHp38uWdWl36QAGjNGyLjVJXl4e//73vzEMgwceeIDQ0FCzI1V7+zeks3jqTgrzHFisFjpdFssFQxph97SZHU1ERKRaMgyD1IRc9/rpxQWl7n31WwTTqmcMjTuF46HfpSIiInIWVKJXgkp0qQleWv0SX+z4gkDPQKZfMZ36/vXNjnRWDm/fypfPPA6gZV1qmFWrVjFv3jzq16/PXXfdZXacaq0o38Ev03eze1UqUHbQtP6jWhPeMMDkZCIiIjVHqcNJwsYMdqxM5tCOLPjtHaynt42mF0TSqmc0kfGBWCxa7kVEREQqRyV6JahEl5rA4XQwcv5ItmRsoW29tnwy+BM8bZ5mxzorP0/+gA3zZxNQL5xRr72Dp4+v2ZGkAj766CMOHz7MoEGD6N69u9lxqq3ErZks+mwH+TklWCzQaUAc3YY2wuZhNTuaiIhIjZWXVcTOlcnsXJlMbkaRe3tItB+tekbT4sIofANr9t/IIiIicv6oRK8ElehSUyQdS2L47OHkluRyU8ubmHDhBLMjnRVHURGfjBtLTloqnQZfwaWjxpgdSU7j6NGjvPnmm1gsFh555BECAjSj+s9KCktZPmMP25cnAxAc6Uu/ka2IahxkcjIREZHaw3AZHNmTzY4VSexbn47T4QLAarUQ164erS6KIa5NKFabPrwWERGRU1OJXgkq0aUmWXp4KWN/GgvAq71fZWD8QJMTnZ0Dm9bz9QtPgcXCTf96leimLcyOJH/hl19+4aeffqJRo0aMHDnS7DjVzuFdR/n5kx3kZRWBBTr0jeXCYY21XqtILeFyuSgpKTE7hlSCh4cHNpv+Da7tigtL2bs2lR0rkklNyHVv9w30pGWPaFpfHKODkYqIiMhJqUSvBJXoUtO8se4N/rv1v/h5+PHl0C+JC4wzO9JZmfv2a+z4ZRHhcY24+YXXsdntZkeSU3j33XdJS0vjyiuvpHPnzmbHqTZKHU5WztrH5p8PAxAY5k2/ka2IaRZicjIRqSolJSUkJCTgcrnMjiKVFBwcTFRUlNbLriMyk46xc0Uyu1alUJjncG+PbRVCm0vqE98hDJtmp4uIiMhvVKJXgkp0qWlKXaXcseAO1qetp3lIc764/Au87d5mxzpjBbk5TH74boqO5XHJTaPodtV1ZkeSk0hNTeW9997DarUybtw4fHw0owsg88gxfvjvNrKS8gFo06s+Pa9pgqe3PgwSqS0Mw+DgwYM4HA5iYmKwWlXA1QSGYVBQUEBaWhrBwcFER0ebHUnOI6fTxYFNGWxblsSh7Vnu7T6BnrTqEU3ri6MJCtfxeEREROo6leiVoBJdaqK0gjSGzx5OVlEW1za7lqd7Pm12pLOybclPzH/3deyeXox89R2CI6PMjiR/8tNPP/HLL7/QokULbrzxRrPjmM5wGWxedJiVs/bhLHXhE+DBpbe1Ir5dmNnRRKSKORwO9u7dS0xMDEFBOr5BTZOZmUlaWhrNmzfX0i51VG5GIduXJbFjRTIFub8vyRTbKoTWF9enUYcwbHZ9OCYiIlIXVbQX1l8KIjVUhG8EL/d6GQsWvt7zNfMS5pkd6ay07nUpDdu2p7SkmB8/egd9vle9GIbBli1bAGjXrp3JacyXn13M7Lc2suyrPThLXcS3q8cN/7xQBbpILeV0OgHw9PQ0OYmcCV/fstnGDofjNCOltgoM86H7sCbc9mJPBo9pR8PWoWCBQzuOsuA/W/lkwnJWztpHTnqB2VFFRESkmlKJLlKDdY/uzt/a/w2AZ1Y+w6HcQyYnOnMWi4X+d47F5uFB4uYN7Fy22OxI8geHDx8mOzsbT09PmjdvbnYcU+3fmM6051ZzaMdR7B5Wet/YnMvvbY9voMo1kdpOa2rXTPq5yXE2m5XGncK54oGO3PpcD7oMjsM30JPCPAfrFyTy+T9/5ds3NrB3XRrOUh3/QERERH6nEl2khru7w910juhMviOfcUvH4XDW3FlWIdH16X7NDQAs+fxjigvyTU4kxx2fhd6yZcs6OxPTUexk0ec7mff+ForyHYTF+jP8iQto27uBChoREZEaJjDMh+5X/WF2epuy2emHd5bNTv/0iRWsmr2fY0eLzY4qIiIi1YBKdJEazm6183KvlwnyCmJb5jbeWP+G2ZHOStcrriEkuj752UdZ8dVUs+MIZcsYbN26Fai7S7mkH8pj+gtr2L4sCSzQaUBDrhvfldBoP7OjiYiIyFlwz06/v/zs9ILcEtZ+f4BP/7GC+R9s4fDOLC03KCIiUoepRBepBaL8ovjXRf8C4NPtn7L08FKTE505u4cHl44eA8CG+bNJP3jA3EBCQkICBQUF+Pr60rhxY7PjnFeGYbBl8WG+fnkd2akF+AV7cdWDHel5TVMdgExERKSWcc9Of6EnA+5sQ0yzYAyXwb4N6Xz7xkb+98wqNi86RHFhqdlRRURE5DxTAyBSS/SJ7cMtrW4B4B/L/kFqfqrJic5cfIfONOvWE8Pl4qf/vqdZPyY7vpRLmzZtsNlsJqc5f4oLHMz/cCtLp+3+/eChT3ajQctQs6OJiFTIqFGjsFgs3H333SfsGzt2LBaLhVGjRrnHDhs2rNyYGTNm4O3tzWuvvValY0SqO5vdSrOukVz9aGdu+Gc32vaqj4eXjaMpBfzy5R6mPL6cxV/sJPPIMbOjioiIyHmiEl2kFnm4y8O0Cm1FdnE2j//yOE6X0+xIZ6zPyDuxe3pxZOc2HWTURA6Hgx07dgB1aymXlIQcvnx+Dfs3pGO1Wbh4eDMuv7c93v4eZkcTEamU2NhYpk2bRmFhoXtbUVERU6dOpWHDhqe83UcffcTNN9/Me++9x6OPPnpOx4hUZ/Xq+9P7phaMeukiet3QnJBoP0qLnWz7JYlpz61m5qvr2LMmVQciFRERqeXsZgcQkarjafPkld6vcP3s61mbupYPN3/IPR3vMTvWGQkMi6D7NSNYNu1Tlnz+MY27XIiXr6/Zseqc3bt3U1JSQnBwMLGxsWbHOecMl8HGHw/x6zf7cLkMAsO8GXhXWyLiAs2OJiLViGEYFDrM+aDax8NWqYMZd+7cmX379jFz5kxuvvlmAGbOnEnDhg1p1KjRSW8zadIkJk6cyLRp07j66qvP6RiRmsLTx067Pg1o27s+Sbuz2bLkCPs3ppO8N4fkvTn4BHrS5uIY2lwSg3+It9lxRUREpIqpRBepZeIC43iqx1M8/svjvL/5fbpGdeWCqAvMjnVGugy9mm1LfuRochIrZ3xBn9vuMjtSnXN8KZe2bdtWqrSpiQqPlfDTlB0kbs0EoGmXCPrc0hIvH/2qFJHyCh1OWj+1wJTH3v7sQHw9K/fv0u23387kyZPdJfrHH3/M6NGjWbx48Qljx48fz7vvvsucOXPo16/fSe+vqsaI1EQWi4X6LUKo3yKE/Oxiti1LYtsvRyjIKWHt3AOsm59Ik87htO8bS1TjwFr/95OIiEhdoeVcRGqhIY2HMKzpMFyGi8eXPs7RoqNmRzojdg8P+o4qO8jo+nmzydBBRs+rwsJC9uzZA9T+pVyS9hzly+dWk7g1E5uHld43tWDAnW1UoItIrXDLLbewbNkyEhMTSUxMZPny5dxyyy0njJs3bx6TJk3i22+/PWXxXVVjRGoDv2Avug1txG0v9GTgXW3dByLduzaNma+sY8ZLa9n1azJOh5Z6ERERqenUDojUUhO6TWBT+iYSchJ4cvmTvH3p2zVyJkyjjl1oekEP9q5Zyc+TP2D4Uy/UyOdRE+3YsQOn00lERASRkZFmxzknDMNgww8H+fWbfRgGhET5MvCuttSr7292NBGpxnw8bGx/dqBpj11Z4eHhDBkyhClTpmAYBkOGDCEsLOyEce3btycjI4OJEyfSrVs3/P1P/LewqsaI1CY2m5WmXSJo2iWC9EN5bFl0mN2rU0lLzOPHKTtYPnMfbXvVp22v+vgGepodV0RERM6AZqKL1FK+Hr680usVPK2eLD28lE+3f2p2pDPWd+Rd2Dw8OLR9C3vX/mp2nDrj+FIutXUWenGBg3nvb2HlrLICvUX3KIZPuEAFuoiclsViwdfTbsrpTD9Ivv3225kyZQqffPIJt99++0nH1K9fn8WLF3PkyBEGDRpEXl7eORsjUluFxwZw6W2tGPliTy68sjF+QZ4U5pawZk4CnzyxnB8nbyctMdfsmCIiIlJJKtFFarEWoS0Y3208AG+sf4MdmTtMTnRmAsMj6Dq07IBkSz/7mFKHw+REtV9ubi4JCQlA2XrotU3G4Tymv7iWhE0ZWO0W+tzcgn4jW+HhVfkZniIiNcGgQYMoKSnB4XAwcOCpZ9HHxcWxZMkSUlJSTlmAV9UYkdrMJ8CTrpfHc+sLPRlwRxsiGwXiKjXYtSqFr15cy8xX1rFnbSoup5Z6ERERc+3P2c/hvMNmx6j2VKKL1HLDmw+nX8N+lLpK+fvSv1PgKDA70hnpdtV1+AWHkJ2azMb5s82OU+tt27YNgNjYWEJCQkxOU7V2rEhmxsvryE0vJCDUm2vHdaHNJfW1TJCI1Go2m40dO3awfft2bLa//sAwNjaWxYsXk5aWxsCBA8nNPXHWbFWNEantbDYrzS6I5LrxXblufFeaXRCJ1WoheV8OP3y0jc+eXMm6+QcoOqZJIiIicn4lH0vmn8v/ydXfXs3r6143O061pxJdpJazWCw83eNpInwjOJB7gElrJpkd6Yx4+vhy0Q23ArDy62kU5OaYnKh2q41LuZQ6nCz6fCc/f7oDp8NFwzb1uP4fFxARF2h2NBGR8yIwMJDAwIr9m9egQQMWL15MRkbGKQvwqhojUldENgpkwB1tuO2FnnS9PB6fAA+OHS3m12/2M2XCchZ9sZOjKflmxxQRkVouszCTl1e/zJBZQ/hm7ze4DBelrlIcLn2g+1cshmEYZocwW25uLkFBQeTk5FT4jYVITbM6eTV3/nAnBgav9X6NAfEDzI5UaS6Xky8mPELagX10uOxy+t95r9mRaqWMjAzefrvsQLSPPfYYfn5+Zkc6a7kZhcz/cCvpB/PAAt2GNqLr4HgsVs0+F5HTKyoqIiEhgUaNGuHt7W12HKkk/fykuip1ONm7No1NPx8i49Ax9/b4dvXo2L8hMc2D9U05ERGpMnkleXyy7RM+2/4ZBaVlqxR0i+rGA50foEN4B5PTmaeivbD9PGYSERN1i+7GHe3u4KMtH/H0yqdpH96eKL8os2NVitVqo8/IO5n+zAQ2/zifjgMuJ6xhvNmxap2tW7cC0KRJk1pRoB/YksGPk7dTXFCKt58HA+5oQ2zrULNjiYiISB1n97DRskc0LbpHkbQnm40/HuLA5gwObMnkwJZMwhsG0LF/LE26RGCz6UvkIiJyZopKi5i2cxofbf2InOKyb/W3qdeGBzo/QI/oHvrAtoJM/U384osvcsEFFxAQEEBERATDhg1j165d5cYUFRUxduxY6tWrh7+/P9deey2pqanlxhw8eJAhQ4bg6+tLREQE48aNo7S09Hw+FZEa4d6O99K2XlvySvJ4/JfHcbqcZkeqtNjW7WjWrSeG4WLxZ/9FX6apWoZh1JqlXAyXwZrvE/j+nc0UF5QS2SiQ6/9xgQp0ERERqVYsFgv1m4cw5N723PT0hbTpVR+bh5X0g3ks/Hg7nz+5kvU/JFJcqPe4IiJScQ6Xg692f8WQWUN4bd1r5BTn0CioEf/u82/+N+R/9IzpqQK9Ekwt0ZcsWcLYsWP59ddfWbhwIQ6HgwEDBpCf//s6cA8//DCzZ8/mq6++YsmSJSQlJXHNNde49zudToYMGUJJSQkrVqzgk08+YcqUKTz11FNmPCWRas3D6sGkXpPwtfuyLnUd/936X7MjnZFeN4/GZreTuHkDCRvWmh2nVklOTiYzMxO73U7Lli3NjnPGSopKmffBFlbPTgCgba/6XP1oZwJC9TV+ERERqb5Covzoc1MLRr7Yk25XNHKvm75y5j4+eXw5y6bvITej0OyYIiJSjbkMF/MS5jHsm2E8u/JZ0grSiPaL5tmezzLzyplcFneZyvMzUK3WRE9PTyciIoIlS5bQq1cvcnJyCA8PZ+rUqVx33XUA7Ny5k1atWrFy5Uq6d+/OvHnzGDp0KElJSURGRgLw/vvvM378eNLT0/H09DzhcYqLiykuLnZfz83NJTY2VmuiS50xe99snlj2BDaLjU8Gf1Ij175a8vnHrJ09k5CYBox69R2sNpvZkWqFBQsWsHLlStq0acPw4cPNjnNGslMLmPv+Fo4m52O1W+h9YwtaXxRjdiwRqcG0pnbNpp+f1GSlDie7V6ey8cdDHE0um2xmsUCTzhF07N+QyEZ6/yoiImUMw+CXI7/w1oa32Jm1E4BQ71DuancX17e4Hk/biR2pVHxN9Gq1sFpOTtm6PKGhZV+1X7duHQ6Hg/79+7vHtGzZkoYNG7Jy5UoAVq5cSbt27dwFOsDAgQPJzc1l27ZtJ32cF198kaCgIPcpNjb2XD0lkWppaOOhXN7ocpyGk/FLx3Os5Njpb1TNdL9mBN4BgRxNOszWxQvNjlMruFyuGr+Uy4EtGXz10lqOJufjF+TJ1Y92VoEuIiIiNZbdw0bri2K48aluDL2vAw1ahmAYsHddGjNeXsvMV9exf0M6hqvazI0TERETrE9dz6j5oxj701h2Zu3E38OfsR3HMveaudzS+hYV6FWg2hxY1OVy8dBDD3HRRRfRtm1bAFJSUvD09CQ4OLjc2MjISFJSUtxj/ligH99/fN/JTJgwgUceecR9/fhMdJG6wmKx8GT3J9mUvokjx47w/KrnefGSF82OVSlevn50v3oEiz/9Dyu+mkqri/vg4aXZZWdj//79HDt2DB8fH5o2bWp2nEoxDIN18xNZ9d1+MCCqcRCDxrTFL8jL7GgiIiIiZ81isRDXth5xbeuRfiiPTT8dYs+aVJL35pC8dwvBkb50GtCQFt2isHlUq7lyIiJyDu3M2sn/rf8/fjnyCwBeNi9uankTt7e9nWDvYHPD1TLVpkQfO3YsW7duZdmyZef8sby8vPDyUrEidVuAZwAvXfISo+aPYs7+OfSM6ckVTa4wO1aldBhwOevnfUdueirr537HhVdfb3akGm3z5s0AtG3bFru92vx6OK2SolJ+/mQH+zakA9CmV30uub4ZNrveQIqIiEjtEx4bQP9Rrel+VRO2LD7M1qVHyE4tYNFnO1n13X46XBpLm1718fKpOX/PiYhI5STmJvLOhneYd2AeADaLjWuaXcOY9mOI9Is8za3lTFSLhuG+++5jzpw5LFq0iAYNGri3R0VFUVJSQnZ2drnxqampREVFucekpqaesP/4PhE5tY4RHbm7w90APL/qeQ7lHTI5UeXYPTy4eMQtAKz+dgYFuTkmJ6q5iouL2bFjBwDt27c3OU3F5aQX8PWkdezbkI7VZqHPzS3oc1MLFegiIiJS6/mHeNHj6iaMfKEnPa9til+wFwU5JayctY9PJyxn5ay95OcUn/6ORESkxkjNT+WZlc9w1TdXuQv0wY0G8+2wb3mqx1Mq0M8hU1sGwzC47777mDVrFj///DONGjUqt79Lly54eHjw008/ubft2rWLgwcP0qNHDwB69OjBli1bSEtLc49ZuHAhgYGBtG7d+vw8EZEa7K52d9E5ojP5jnweX/o4DpfD7EiV0vKi3oTHN6aksIDV30w3O06NtXPnThwOB6GhoeU+zKzODu/M4qsX15KVlI9voCfDHulMm0vqmx1LRERE5Lzy9LHT6bKG3PqvHlx6W0tConwpKXKyfsFBPv3HChZ9vpPs1AKzY4qIyFnILsrmtbWvMWTWEGbsnoHTcNKrQS9mXDGDSb0mERcYZ3bEWs/U73eNHTuWqVOn8u233xIQEOBewzwoKAgfHx+CgoK44447eOSRRwgNDSUwMJD777+fHj160L17dwAGDBhA69atufXWW5k0aRIpKSk8+eSTjB07Vku2iFSAzWrjpUte4trvrmVzxmbe3/Q+93e63+xYFWaxWul10yi+fuEpNi74nk6DriQoQp+8VtbxpVzat2+PxWIxOc3pbV16hKXTdmO4DCIbBTJ4TDv8gvVvvoiIiNRdNruVVj1jaNk9moTNGWz4IZGU/blsX5bE9uVJNOkYTqeBcUTGB5odVUREKijfkc+n2z/lk22fkO/IB6BzRGce7PwgnSM7m5yubjF1Jvp7771HTk4Offr0ITo62n368ssv3WNef/11hg4dyrXXXkuvXr2Iiopi5syZ7v02m405c+Zgs9no0aMHt9xyC7fddhvPPvusGU9JpEaK9o/mqZ5PAfCfzf9hTcoakxNVTlz7TjRs2wFnaSnLp39udpwaJy8vj/379wPVfykXl9PF0mm7WTJ1F4bLoHm3SIY90kkFuojISYwaNQqLxcLdd999wr6xY8disVgYNWqUe+ywYcPKjZkxYwbe3t689tprVTqmIpktFguenp40bdqUZ599ltLS0oo9aRHBYrXQuGM41/69K1c/1pn4dvXAgH0b0pnx0lq++fd6ErdlYhiG2VFFROQUip3FfLb9My6feTnvbnyXfEc+LUNb8m6/d5kyaIoKdBOYOhO9Ir+0vb29eeedd3jnnXdOOSYuLo65c+dWZTSROmdQ/CBWHFnBrL2zmPDLBL6+8muCvILMjlUhFouFXjeP5vMJD7Fj2WK6Dr2aiPjGZseqMbZs2YJhGMTGxhIaGmp2nFMqynfww0dbObTjKADdhzWm88C4GjFzXkTELLGxsUybNo3XX38dHx8fAIqKipg6dSoNGzY85e0++ugjxo4dy/vvv8/o0aPP6Zg/GzRoEJMnT6a4uJi5c+cyduxYPDw8mDBhQoVuLyK/i2kaTEzTYDKPHGPDwoPsWZ3Kkd3ZHNmdTb0G/nQe0JCmXSKw2nQ8GRGR6qDUVcrsfbN5d9O7pOSXrdgRFxjHfR3vY0D8AKwW/XttFr3yIuL2eLfHiQuMI7Wg7EAVNWl2SmTjprTo2QsMg1+mTjE7To2yadMmoHrPQs9OLTuA6KEdR7F7Whk8ph1dBsWrQBcRcxgGlOSbc6rk7+bOnTsTGxtb7pucM2fOpGHDhnTq1Omkt5k0aRL3338/06ZNO2XxXVVjTsbLy4uoqCji4uK455576N+/P999912Fby8iJ6pX35/+o1pzy7960KFfLHYvG5mHj7Hw4+18MfFXti49gtPhMjumiEidZRgGPxz4gWu+u4anVjxFSn4KEb4RTOwxkVlXzWJQo0Eq0E1m6kx0EalefD18ebnXy9wy9xYWJi5k1t5ZXNPsGrNjVdjFI25lz6rlHNi0nsPbt9KgdVuzI1V7qamppKamYrPZaNOmjdlxTurQziwWfLiV4oJS/EO8uPze9oTHBpgdS0TqMkcBvBBjzmM/kQSefpW6ye23387kyZO5+eabAfj4448ZPXo0ixcvPmHs+PHjeffdd5kzZw79+vU76f1V1ZiK8vHxITMz86zuQ0TKBIR6c/HwZnS9PJ6tSw6z6efD5GYUsWTqLtZ+n0DHyxrS5pL6eHjZzI4qIlInGIbByqSVvLnhTbZnbgcg2CuYO9vdyYgWI/C2e5ucUI7TRxgiUk6bem3cBxZ9afVLJOQkmJyo4oKjoml36QAAln35WY2aSW+W4wcUbdasGb6+vianOdGWxYeZ/X+bKC4oJbJRINc93lUFuohIJd1yyy0sW7aMxMREEhMTWb58ObfccssJ4+bNm8ekSZP49ttvT1l8V9WYijAMgx9//JEFCxZw6aWXnvH9iMiJvP086Hp5I257oScXD2+GX7AX+TklLJ+xl0+fWMHauQkUFzjMjikiUqttSt/EHT/cwZgfx7A9czu+dl/u7nA3866Zx8g2I1WgVzOaiS4iJxjVZhQrjqxgVcoqHv/lcT4f/DkeNg+zY1XIhVePYOviHzmycxuJmzcQ30EH2zgVl8vlLtE7dOhgcpryXE4Xy6bvYcuSIwA0vzCSvre0xO6hWVEiUg14+JbNCDfrsSspPDycIUOGMGXKFAzDYMiQIYSFhZ0wrn379mRkZDBx4kS6deuGv7//ORvzV+bMmYO/vz8OhwOXy8VNN93E008/Xan7EJGK8fC00aFfLG171WfXqhTWLUgkN72QVd8lsOGHg7Tt04CO/WLxCfA0O6qISK2x5+ge/m/D/7H40GIAPKwejGgxgrva30Wod/U9Tlldp5noInICq8XK8xc/T5BXENszt/PWxrfMjlRhAfXC6HDZ5QAs12z0v3TgwAHy8vLw9vamWbNmZsdxKy4sZc47m8sKdEvZAUT7j2qtAl1Eqg+LpWxJFTNOZ3gsiNtvv50pU6bwySefcPvtt590TP369Vm8eDFHjhxh0KBB5OXlnbMxf6Vv375s3LiRPXv2UFhYyCeffIKfX+WWsBGRyrF5WGl9cQw3P30hl93emtAYP0qKnKyfn8inT6zgl+m7OXa0yOyYIiI12qG8Q0z4ZQLXfnctiw8txmqxcnXTq/n+6u8Z3228CvRqTiW6iJxUpF8kz/R4BoApW6ewKnmVyYkqrttV12H38iJl3x72rVttdpxq6/gBRdu0aYPdXj2+mJSXVcTMV9ZxaHuWDiAqIlKFBg0aRElJCQ6Hg4EDB55yXFxcHEuWLCElJeWUBXhVjTkVPz8/mjZtSsOGDavN7yeRusJqs9K8WxQ3PNmNwXe3IyIugFKHi80/H+azJ1ey6LMd5KQXmB1TRKRGSS9I51+//osrZ13JnP1zMDC4LO4yZl01i2cvepZo/2izI0oFqEQXkVPqF9eP65pfh4HBE788QXZRttmRKsQvOITOg64AYMWXn2G4XCYnqn5KSkrYsWMHUH2WcklLzGXGy2vJSsrHN9CTqx/tTOOO4WbHEhGpFWw2Gzt27GD79u3YbH/9zZ7Y2FgWL15MWloaAwcOJDc395yNEZHqyWK10LhjONc93pUrH+hITLNgXE6D7cuT+eKpX/nhv9vIPHLM7JgiItVaTnEOb6x7g8tnXs6Xu76k1CilZ0xPpg2dxr/7/JvGQY3NjiiVoBJdRP7SuK7jiA+MJ60wjadXPl1jlkfpeuW1ePr4kn7wALtXLTc7TrWza9cuSkpKCAkJITY21uw4JGzOYNZr6ynIKSE0xo/rHu9KRFyg2bFERGqVwMBAAgMr9m9rgwYNWLx4MRkZGacswKtqjIhUXxaLhdjWoVz9aGeueawzDdvUwzBgz5pUpj23mrnvbSYtUf9fi4j8UYGjgI+2fMTgmYP579b/UuQson14ez4e+DEfXPYBbeq1MTuinAGLUVMasXMoNzeXoKAgcnJyKvzGQqQu2ZG5g5vm3kSpq5SJPSZyXfPrzI5UIStn/I8VX31BSEwDRr36DtbTzLyrSz7//HP27t1L79696du3r6lZNi86xLLpezAMiG0VwsC/tcPLR1/fF5Hqo6ioiISEBBo1aoS3t7fZcaSS9PMTqVrpB/NYN/8A+zakw29tQlzbelwwpBGRjfR+WkTqLofTwYw9M/hg0wdkFmUC0DS4KQ90eoA+sX20TGk1VdFeWC2FiJxWq3qteLDTg7y27jUmrZlE58jONeJrR50vv4r1877jaNJhdixbTJve/cyOVC0cO3aMffv2AdC+fXvTcrhcBitm7GXTz4cAaH1RNL1uaoHNpi9JiYiIiFRX4Q0DGPS3dmQl57N+fiK7V6eQuDWTxK2ZNGwdygVDGxHVOMjsmCIi543T5eT7hO95d+O7HDl2BID6/vUZ23Eslze6HJtVE/pqAzUVIlIht7W5je7R3SksLeTxpY9T4iwxO9Jpefn6csGV1wKwcsZUnKWlJieqHrZs2YJhGNSvX5969eqZksFR7GT+B1vcBXr3YY3pc0tLFegiIrXYwYMH8ff3P+Xp4MGDZkcUkUoIjfaj/+jW3PRMd1r2iMJitXBwexZfT1rHd29uIGlvttkRRUTOKcMw+OngT1w3+zr+sewfHDl2hDCfMP5x4T+YPWw2VzS5QgV6LaKZ6CJSIVaLlecvfp5rv7uWHVk7eGvDWzza9VGzY51Wp4FDWff9N+SkpbL9l59p13eA2ZFMt3nzZsC8A4rm5xQz993NpCXmYbNb6TeqFc26RpqSRUREzp+YmBg2btz4l/tFpOYJjvCl38jWdL08nnXzE9m1MoVDO45yaMdR6rcI4YIh8dRvHmJ2TBGRKrUqeRX/t/7/2JxR9v46wDOAO9rewY0tb8TXw9fkdHIuqEQXkQqL8I3gmZ7P8OCiB5mybQo9Y3rSI6aH2bH+koe3NxdccQ1LPv+YVbOm06ZXvzq9NnpKSgrJyclYrVbatDn/BzPJSs5nzlubyMsqwtvPg8vvaUd00+DznkNERM4/u91O06ZNzY4hIudIULgvl97aiq6D41m3IJGdK5I5susoR3YdJaZZMBcMbUT95sFaE1hEarStGVt5c/2b/Jr8KwA+dh9uaXULo9qOItBTx4WozfS9eRGplEsbXsrw5sMB+Meyf3C06KjJiU6vw2WX4xMYRE5qCjuWLTY7jqk2bdoEQIsWLfDz8zuvj520N5uZr6wjL6uIoAgfrh3fRQW6iIiISC0TGOZD35tbcvOz3WnTqz5Wm4WkPdl8+/oGZr22nkM7sjAMw+yYIiKVsj97Pw8vepgbv7+RX5N/xW61c2PLG5l7zVwe6PyACvQ6QCW6iFTauAvG0SioEemF6UxcMbHa/xHs4e1N16FXA7Bq1pe4nE6TE5nD6XS6l3Lp2LHjeX3s/RvS+e7NjRQXlBLZKJBr/96F4Ah9xU1ERESktgqs50Ofm1pwy3M9aNe7Pla7heS9OXz35kZmvrKeg9syq/37CBGRpGNJPLnsSa7+7mp+PPgjFixc2eRKZg+bzRMXPkGYT5jZEeU8UYkuIpXmY/dhUq9JeFg9WHRoEV/t/srsSKfVceAQvAMCOZqcxK4VS82OY4q9e/eSn5+Pn5/fef06/ZbFh5n34RacDhfx7cO46uFO+Ph7nrfHFxERERHzBIR60+vGFtz6XE/a922AzW4lZX8Os9/axNeT1pG4VWW6iFQ/mYWZvLT6JYbOGsq3+77FZbi4NPZSZl45k+cvfp4GAQ3MjijnmUp0ETkjLUNb8mDnBwF4Zc0r7M/eb3Kiv+bp7UPXIcMA+HXml7hcdW82+vGDubVv3x7beVgX3jAMfv1mH0un7QYDWl8cw+AxbfHwrLtr0ouIiIjUVf4hXlwyojm3Pt+DDpfGYvOwkpqQy5y3y8r0g9tVpouI+fJK8nhrw1sMnjmYL3Z8gcPl4MKoC/ni8i9489I3aRqi47vUVSrRReSM3dr6VnrG9KTIWcT4X8ZT4iwxO9Jf6jhwKN5+/mQlHWb3r8vNjnNe5efns2vXLuD8LOXidLr4+ZMdrJufCEC3KxrR5+YWWG36tSMiIiJSl/kFeXHx9c249V896Ng/FvtvZfrs/9vErFfXc3hnltkRRaQOKiotYvLWyQyeOZgPN39IYWkhbeq14cPLPuSjgR/RPry92RHFZGozROSMWS1W/nXRvwjxCmFn1k7eXP+m2ZH+kpevL52HXAXAr19Pw3C5TE50/mzZsgWXy0V0dDSRkZHn9LFKikqZ++5mdv6agsVqoe+tLblgSCMsFss5fVwRERERqTn8gry46Lpm3Pp8Tzr0K5uZnrwvh2/f2Mg3/15P0p5ssyOKSB3gcDmYvms6Q2YO4d/r/k1OcQ6Ngxrzep/X+d+Q/9EjpofZEaWaUIkuImcl3DecZ3o+A8Cn2z9lxZEVJif6a50GXYGXrx+Zhw+yZ3X1zlqVji/lcq5noRfklvDt6xs4uC0Lu4eVy+9pR+uLYs7pY4qIyMmNGjUKi8XC3XfffcK+sWPHYrFYGDVqlHvssGHDyo2ZMWMG3t7evPbaaxUeIyJSWb6Bnlw8vBm3PteDdn0aYLVbOLI7m1mvrefbNzaQsj/H7IgiUgu5DBff7/+eq765iud+fY60wjSi/aJ57qLnmHnlTPrH9ddEMClHJbqInLW+DfsyosUIAP6x/B9kFVXfr2B6+/nTafCVQN2ZjZ6SkkJKSgpWq5V27dqds8fJTivg61fWkZaYh7e/B1c90on4djpSuYiImWJjY5k2bRqFhYXubUVFRUydOpWGDRue8nYfffQRN998M++99x6PPvroGY8REakov2Avet3QnFue7UGbXvWx2iwc3nmUryetY/ZbG0lNyDU7oojUAoZhsOTQEobPHs7jvzzOobxDhHqH8ni3x5lz9RyGNR2GzarjeMmJ7GYHEJHa4dGuj7ImZQ37c/YzcflE/u/S/6u2n9p2vvxK1s/9hvSDB9i3bjVNL+hudqRz6vgs9BYtWuDr63tOHiMtseygUIV5DgLDvLni/o4ER56bxxIRMZthGBSWFp5+4DngY/ep1O/Xzp07s2/fPmbOnMnNN98MwMyZM2nYsCGNGjU66W0mTZrExIkTmTZtGldfffUZjxERORMBod70uakFnQc0ZO28A+xcmcLBbVkc3JZFfPswug1tRHjDALNjikgNtCZlDf+3/v/YmL4RAH8Pf0a3Hc0trW7B10PvX+WvqUQXkSrhY/dhUq9J3Pj9jSw+vJjpu6YzouUIs2OdlI9/AB0HDGH1tzNY/c1XNOl6YbUt/M+W0+lk8+bNAHTq1OmcPMahnVnMe28LjmIn4Q0DGHpfB3wDPc/JY4mIVAeFpYVcOPVCUx571U2rKv0m7/bbb2fy5MnuEv3jjz9m9OjRLF68+ISx48eP591332XOnDn069fvpPdXkTEiImcrMMyHS29tRZdBcaz9/gC7VqVwYHMGBzZn0LhjON2uaES9+v5mxxSRGmB75nb+b/3/sTxpOQBeNi9uanUTd7S9gyCvIJPTSU2h5VxEpMq0CG3Bw10eBuCVta+wL3ufyYlOrfPlV2H38CR57y4ObdtidpxzZs+ePRQUFODn50eTJk2q/P73bUhjztubcBQ7adAyhGGPdFKBLiJSzdxyyy0sW7aMxMREEhMTWb58ObfccssJ4+bNm8ekSZP49ttvT1mOV2SMiEhVCgr3pd+o1tw48UKaXRAJFti/MZ1pz61mwX+2kpWUb3ZEEammEnISeHTxo4yYM4LlScuxW+xc3/x65l4zl0e6PKICXSpFM9FFpErd3Opmlh9ZzvKk5YxfOp6pQ6biaat+papfcAht+l7Gph++Z/W3X9GwbXuzI50Tx5dy6dChAzZb1a7rtn1ZEou/2IlhQJNO4Vx2extsHvpsVkRqPx+7D6tuWmXaY1dWeHg4Q4YMYcqUKRiGwZAhQwgLO/GYFe3btycjI4OJEyfSrVs3/P1PnOFZkTEiIudCSJQfA+5oQ9fB8az5PoG969LKTuvTaNY1km5DG2k5QREBICU/hfc2vce3e7/FaTixYOHyxpcztsNYYgNjzY4nNZRKdBGpUlaLlX9d/C+u/e5adh3dxRvr3+DvF/zd7FgndcEV17D5x3kkbt5A6v69RDZuanakKpWfn8/u3buBshK9Kq1fkMjKWWXfNGh9UTS9b26J1Vo7l8QREfkzi8VS49bNvP3227nvvvsAeOedd046pn79+syYMYO+ffsyaNAg5s2bR0BAQKXHiIicS6Exfgy8qy1dBh9jzZwE9m9MZ8+aVPauTaVFj2guGBJPYL3Kf+AoIjVfVlEW/9n8H77c9SUOlwOAPg36cF+n+2gR2sLkdFLTacqgiFS5MJ8wnu35LACfbf+MZUeWmZzo5IIiIml5UW8AVn0z3eQ0VW/Lli24XC5iYmKIjIyskvs0DIMVX+91F+idB8bR5xYV6CIi1d2gQYMoKSnB4XAwcODAU46Li4tjyZIlpKSkMGjQIPLy8s5ojIjIuRbWwJ/Bd7fj+icuIL59GIYBO1ck88VTv7J02m7yc4rNjigi58mxkmO8s/EdBn89mM93fI7D5aBrZFc+G/wZb/V7SwW6VAmV6CJyTvSO7c0NLW4A4MllT5JZmGlyopPrduW1AOxZvZLMI4dMTlO1ji/l0rFjxyq5P5fTxaLPdrJh4UEAel7TlB5XN6m1B2UVEalNbDYbO3bsYPv27add3is2NpbFixeTlpbGwIEDyc3NPaMxIiLnQ3jDAIbc255r/96FBi1DcDkNtiw+zOdPrmTlrH0U5TvMjigi50hRaRFTtk5h0MxBvL/pfQpKC2gV2or3+7/PxwM/pmNER7MjSi2iEl1EzplHuz5K0+CmZBZlMnHFRAzDMDvSCcIaxtO4SzcwDNZ897XZcapMcnIyKSkp2Gw22rZte9b3V+pwMv/DrexYkYzFApfe1pJOAxpWQVIRETlfAgMDCQwMrNDYBg0asHjxYjIyMk5ZkldkjIjI+RLVOIirHurEVQ91JLJRIKUOF+sXJPLZP1awdm4CJUWlZkcUkSricDn4avdXDJk1hNfWvUZOcQ7xgfG81vs1vhz6JRfVv0iTvaTKWYzq2GqdZ7m5uQQFBZGTk1PhNxYiUjG7snZx0/c3UeIq4YkLn+DGljeaHekESbt38L9/jsNqs3HH/31EYFi42ZHO2ty5c1m9ejWtW7fm+uuvP6v7KiksZe77mzmyKxub3cqAO9vQuGPNf41ERCqqqKiIhIQEGjVqhLe3t9lxpJL08xOpewzD4MCWTFZ9u4/MI/kA+AR40HlgHG1718fu8dffyBGR6slluFhwYAFvb3ibg3ll35CO8ovi3g73ckWTK7BbdehHqbyK9sKaiS4i51SL0BY83OVhAF5b+xp7j+41OdGJYpq3okHrtricTtZ9/43Zcc6aw+Fg8+bNAHTu3Pms7qswr4RvXt/AkV3ZeHjbGHp/BxXoIiIiIlKtWSwWGrUPY8Q/ujHgjjYEhftQmOdg+Yy9fPHUr2z75QhOp8vsmCJSQYZhsPTw/7N33+FRlGsfx7+zNb33kEBC6L1XkaYEsVCkCCjFimA51qPH7jmvRwWPDTuKiAhIUZogvXcINZRAEmoS0utm27x/bAhEigkk2QD357rmmt2ZZ2buJaTsb595nnUMWTiEl9a9xIm8E/gafXmp3UssGrCIAfUGSIAuqpyE6EKIKjei0Qi6hnel2FbMS+tfothW8yb56XDfYAD2rlxKYW6Ok6u5PvHx8ZhMJry9vYmOjr7m8+Rlmpg3cRfnTuTh4qGn/z9aUauBbyVWKoQQQgghRNVRNAr12gXzwFsd6DGyIR6+RvKzilnz82FmvLWVI9tSUO23/M35QtRoO1N3MnrpaMavHM/hrMN46D0Y33I8fwz6gwcbP4hRa3R2ieIWISG6EKLKKYrCu13exc/Fj6NZR/l458fOLukStVu0JqhOXazFxexeusjZ5VyXXbt2AdCqVSs0mmv7MZ+dWsi8iTvJTi3Ew8/IwBdaE1RbhrsSQgghhBA3Hq1WQ+OuYYx4pyNdB9fD1VNP7rkiln9/kFn/2UbinnM1cv4mIW5l8RnxjFsxjtFLR7MrbRdGrZHRTUbzx8A/eKLFE7jr3Z1dorjFSIguhKgWAa4BvNvlXQCmx09n/an1Tq6oLEVRaN/f0Rs9bulCzKYiJ1d0bTIyMkhKSgIcIfo1neN0PvMn7SI/sxifYDcGvtAG3xD5A0UIIYQQQtzYdHotLXpFMPLdTnS4LxqDq46M0wUs+XIfc97fyclDmc4uUYhbXlJOEi+ufZEhi4aw4fQGtIqWwfUHs3jAYp5v+zw+Lj7OLlHcoiREF0JUm261ujG84XAAXtv4GulF6U6uqKx6HTrhExKKqSCf/auXO7uca7J7924AYmJi8Pb2rvDxacm5zP9oF4W5ZvzDPRjwfGs8/WQSNiGEEEIIcfMwuOho27cOD/67E61ja6MzaEhLymXBx3H89r/dpBy/sYd3FOJGlFKQwlub3qL/7/1ZmrQUgL5RfVnQfwFvdHqDYPdgJ1cobnUSogshqtVzbZ8jxieGTFMmb2x8o0bdNqnRaGnTbwAAu5b8jt1mc3JFFWOz2YiLiwOubULRMwnZ/Pa/3RQXWAmq40X/51rh5mWo5CqFEEIIIYSoGVzc9XTqX5eR73aieY9aaHQKpw9nMfeDnSz+Yi8Zp/OdXaIQN70sUxYfbv+QfvP6MffoXGyqjW61ujHnnjl80O0DIr0inV2iEICE6EKIambUGvmg2wcYNAbWn17PjEMznF1SGU1u74mLpxc5aakc3bbZ2eVUyNGjR8nPz8fNzY369etX6NiTBzNZ+EkcFpONsHo+3PdsS1zc9VVUqRBCCCGEEDWHu7eR24bWZ+Q7nWjUJRRFgaS96cz89zZWTj1IbsaNOdSjEDVZvjmfL+O+pO+8vkw7OA2z3Uyb4DZM6zuNyb0m08CvgbNLFKIMCdGFENWunm89nmv7HAAf7fiII1lHnFzRBXqjCy3vvAuAHYvm1aie8n/n/FAuLVu2RKfTlfu443HnWPTFHqwWO5FN/Lj7qRYYXMp/vBBCCCGEEDcDTz8Xej7YiAfe7EDdVoGgwqEtKfz85hY2/HqUonyzs0sU4oZXbCvmxwM/0ndeX77Y8wUFlgIa+TXiy95f8kOfH2gVdG1zewlR1SREF0I4xfCGw7kt/DbMdjMvr3sZk9Xk7JJKtbyzH1q9npSEI5w+fNDZ5ZRLbm4uR444PoyoyISiR7ansPSb/ditKnVbBXLXE83RG7RVVaYQQgghhBA1nm+IO7GPN+P+l9sS3sAHu1Vlz8qTTH9tMzuWJGIpvrGGfRSiJrDarcw9Mpd+8/oxccdEsouzqeNVhw9v/5CZd8+ka3hXFEVxdplCXJGE6EIIp1AUhXe7vIu/iz8J2Qn8b+f/nF1SKXcfXxp36wnAjoXznVxN+ezZswdVVYmMjCQwMLBcxxzccIbl3x9Etas06BjCnY80QauXXwtCCCGEEEIABEd5cd+zrbjn6RYERHhgNtnYuiCRn17fzL41p7DZ7M4uUYgaz67aWZq4lP6/9+etzW+RWphKsFswb3d+m/n3zSe2TiwaRd6Hiprvmv6XWq1WVqxYwddff01eXh4AZ86cIT9fJt0QQpSfv6s//+76bwBmHJrBulPrnFzRBW369Qfg2M6tZJ457dxi/obdbmfXrl1A+ScU3bPyJKunHwIVmnYLp9dDjdBo5Q8XIYS4mYwePRpFUXjiiScu2Td+/HgURWH06NGlbfv371+mzZw5c3BxcWHSpEnlblOeehRFwWAwEBMTwzvvvIPVar2m1yeEENVBURQiG/sz5JV23PlwE7wCXSnKNbNu5hFmvLWVI9tTUO03zhCQQlQXVVVZf2o9wxYN48V1L5Kcm4yv0ZcX277I4oGLGVhvIDqNDCMqbhwVTkySk5Np1qwZ9913H+PHj+fcuXMAvP/++7zwwguVXqAQ4ubWNbwrIxuNBOD1ja+TXpTu5Ioc/MMjiG7dDlSVXUt+c3Y5V5WcnExWVhZGo5HGjRtfta2qquxYksiGX48C0OqOSLo9UB9FI7fNCSHEzSgiIoKZM2dSVHRhUjyTycSMGTOIjIy84nHfffcdI0aM4Msvv+T555+/5jZ/FRsby9mzZzl69CjPP/88b731Fh9++GHFXpQQQjiBolGo1y6Y4W92oNuw+rh6Gcg9V8TyKQeZ/d52ThzIuKHmUxKiKu1O283opaN5cuWTxGfG465358kWT7Jk4BIeavIQRq3R2SUKUWEVDtGfeeYZ2rZtS1ZWFq6urqXbBwwYwMqVKyu1OCHEreHZNs9S37c+maZMXtv4Gna1ZtwW2faegQAcWLOSwtwcJ1dzZed7oTdt2hSDwXDFdqqqsuX342xdkAhA+3ui6DSwrow7J4QQFaSqKvbCQqcsFQ1oWrduTUREBPPmzSvdNm/ePCIjI684h8YHH3zAU089xcyZMxkzZsw1t7kco9FISEgItWvXZty4cfTu3ZsFCxZU6DUJIYQzaXUamnWvxch3OtLh3ij0LlrST+az8LM9/P7xblITc51dohBOcyjzEE+ueJKH/niIXWm7MGgMPNT4If4Y+AfjWo7Dw+Dh7BKFuGYVvm9i/fr1bNq06ZKgpk6dOpw+XbOHPBBC1ExGrZH3b3ufYYuHsfH0RmbEz2Bk45HOLotajZoSHF2P1ONHiVu2mM6Dhzu7pEsUFRVx8KBj8tOrDeWiqiqb5iYQt+IkAF3uj6Fl7yv3QBRCCHFlalERh1u3ccq1G+zaieLmVqFjxo4dyw8//MCIESMA+P777xkzZgxr1qy5pO3LL7/MF198waJFi+jVq9dlz1eeNuXl6upKRkbGdZ1DCCGcweCio+1dUTTpFs7OP5LZt/YUpw9nM+f9HdRtFUiH+6LxDXF3dplCVIvk3GQm757MH0l/AKBVtPSP6c8TLZ4gxD3EydUJUTkq3BPdbrdjs106E/WpU6fw9PSslKKEELeeGN8Ynm/ruBX8o50fcTjzsJMrcox/2PaeAQDE/bkYi7nYyRVdau/evdhsNoKDgwkLC7tsG1VV2TD7aGmA3m1YfQnQhRDiFjJy5Eg2bNhAcnIyycnJbNy4kZEjL/2w+o8//uCDDz7g999/v2I4Xp425aGqKitWrGDZsmX07Nnzms8jhBDO5uphoOvgeox8pxMNO4WgKHBs9zl+eWcbq6cfIj+r5r2HEKKypBak8vbmt7nvt/tKA/TYOrH8dt9vvNX5LQnQxU2lwj3R77zzTj7++GO++eYbwBEy5efn8+abb3LXXXdVeoFCiFvHsAaOnuhrT63l5XUvM/PumbjoXJxaU/0OXVgfGETuuTTi162mee9Yp9ZzMVVV2blzJ+DohX65YVlUu8q6mUfYv85xp1D3EQ1oclt4tdYphBA3G8XVlQa7djrt2hUVGBhIv379mDp1Kqqq0q9fPwICAi5p17x5c9LT03nzzTdp3749Hh6X3nJdnjZXs2jRIjw8PLBYLNjtdoYPH85bb71V4dckhBA1jaefC71GNablHZFs+e04SXvTObjhDIe3ptC8Ry1a96mNi7ve2WUKUSmyTFlM2TeFmYdnUmxzfFDUNbwrT7d6mkb+jZxcnRBVo8I90SdNmsTGjRtp3LgxJpOJ4cOHlw7l8v7771dFjUKIW4SiKLzd+W38Xfw5lnOMSTsmObskNFotrfveB8COxb+h2mvGeO0AJ0+eJC0tDZ1OR/PmzS/Zr9pVVv98yBGgK9DzoYYSoAshRCVQFAWNm5tTlmudx2Ls2LFMnTqVH3/8kbFjx162TXh4OGvWrOH06dPExsaSl5d3TW2upkePHsTFxXH06FGKior48ccfcXeX4Q6EEDcP/zAP+j3ZnIEvtCY0xhubxc7uP08w/fXN7PozGavl0jv7hbhR5JnzmBw3mdi5sfx48EeKbcW0CmrF1NipfNn7SwnQxU2twiF6rVq12LNnD6+++ir/+Mc/aNWqFf/973/ZvXs3QUFBVVGjEOIW4u/qz3+6/geAmYdnsvbkWidXBM163oHB1Y2sM6dI2rvb2eWU2rFjBwDNmjUrM9EzgN2usnJaPPEbz6Io0Ht0Yxp1vvxwL0IIIW5+sbGxmM1mLBYLffr0uWK72rVrs3btWlJSUq4YkpenzZW4u7sTExNDZGQkOl2Fb4oVQogbRmiMDwOeb02/J5vjF+ZOcaGVzfOO8fObWzi85SyqvWITRQvhTEXWIr7f/z195/Xlqz1fUWgtpJFfIyb3msyPsT/SJtg5c8UIUZ2u6S9XnU532XEUhRCiMnQJ78KDjR/kp4M/8frG15l33zwCXC+97by6GFzdaNrjDnYt+Z1dfywgqqXz/0AoLCzkwIEDALRt27bMPrvNzoqp8RzdnoqiUbhjTGPqtQt2RplCCCFqCK1WS3x8fOnjq4mIiGDNmjX06NGDPn36sHTpUry8vCrcRgghbnWKolCneQCRTf05sjWFrQuOk59ZzIqp8cStPEnnATFENPZzdplCXJHFZmHO0Tl8s/cb0ovSAYjyjmJCywn0rt0bjVLhvrlC3LAqHKJPmzbtqvsfeuihay5GCCHOe7b1s2w7u43DWYf514Z/8WXvL536C7pV7D3s+mMBSXE7yTh9Ev/wCKfVAhAXF4fNZiMkJKTMhKI2m53lUw5ybFcaGo3CnY80oW5ruUtICCEEFQq5a9WqVSYkX7ZsWbnaSJAuhBCX0mgUGnYKJaZNEHtXn2Ln0mTST+az4NM4Ihr50mlADIGRns4uU4hSVruVRccX8dWerzid75hfK9wjnHEtxtEvuh86jdxNJm49iqqqFbqHyNfXt8xzi8VCYWEhBoMBNzc3MjMzK7XA6pCbm4u3tzc5OTnyh78QNcix7GMMXTSUYlsxL7Z9kYeaOPdDut8+/DfHdmyhxR130fuRJ51Wh6qqfPbZZ2RmZnL33XeX9kS3We38+d0BjsedQ6NV6PNoU6JbBjqtTiGEuFmYTCYSExOJiorCxcW5E16LipOvnxCipjHlW9jxRxL71pzCblNBgfrtg+lwbzRe/hWfQFqIymJX7SxPXs7kuMkk5iQCEOAawOPNH2dQvUHotTI5rrj5lDcXrnC3zqysrDJLfn4+hw8fpmvXrvzyyy8VOte6deu45557CAsLQ1EUfvvttzL7R48ejaIoZZbY2NgybTIzMxkxYgReXl74+Pjw8MMPk5+fX9GXJYSoger61OXFti8C8PGujzmUecip9bTuey8AB9atxOTEnzOJiYlkZmZiMBho1qwZADaLnaVf7+N43Dm0Og19n2gmAboQQgghhBA1kIuHnq6D6zHi7Y6OYRdVOLI1lZ/f3MLGuQmYCizOLlHcYlRVZd2pdQxbNIwX1r5AYk4i3kZvnmvzHEsGLmFYw2ESoItbXqWMjVCvXj3++9//8swzz1TouIKCAlq0aMHkyZOv2CY2NpazZ8+WLn8N6keMGMGBAwdYvnw5ixYtYt26dTz22GPX9DqEEDXPkAZD6B7RHYvdwsvrXqbIWuS0WiKaNCMwsg7W4mL2rf7TaXXs3LkTgObNm2M0GrGabSz5ai9J+zLQ6jXc9WQz6jRz3hjyQgghbj0nTpzAw8PjisuJEyecXaIQQtQ4XgGu3PlwEwa/0pbwBj7YrSpxy08w/fXN7P7zBFaLzdklilvA9pTtjFo6ivErxxOfGY+bzo1xLcbxx8A/GNN0DK46uTtCCLjGiUUveyKdjjNnzlTomL59+9K3b9+rtjEajYSEhFx2X3x8PEuXLmX79u2lwxl89tln3HXXXUycOLHMOMFCiBuToii83fltBi0YxPGc40zaMYnXOr7mtFpa3XUvf371KXHLFtHmrvvQ/M3kbJUtPz+/dGK4tm3bYjHbWPLFXk4dykJn0NDvyebUaiiTEwkhhKheYWFhxMXFXXW/EEKIywuq7cV9z7bixIFMNs1LIPNMAZvmJbB3zUk63leX+u2CUTSKs8sUN5n96fv5bPdnbDqzCQCj1sgDDR9gbNOx+Lr4/s3RQtx6KhyiL1iwoMxzVVU5e/Ysn3/+OV26dKm0ws5bs2YNQUFB+Pr60rNnT/7973/j7+8PwObNm/Hx8SkN0AF69+6NRqNh69atDBgw4LLnLC4upri4uPR5bm5updcthKg8fi5+/Kfrf3h8+ePMOjyLLmFd6BHZwym1NOrSnfU/TyX3XBoJO7ZQv0Pl/9y7mt27d2O326lVqxYBfoEsPh+gG7XcM6E5YfXkjx0hhBDVT6fTERMT4+wyhBDihqUoCrWb+hPR2I/DW1LYuuA4+ZnFrPjhIHErTtB5QAwRjaWzjLh+CVkJfB73OStPrARAp+gYVH8QjzZ7lGD3YCdXJ0TNVeEQvX///mWeK4pCYGAgPXv2ZNKkSZVVF+AYymXgwIFERUVx7NgxXn31Vfr27cvmzZvRarWkpKQQFBRU5hidToefnx8pKSlXPO97773H22+/Xam1CiGqVuewzjzU+CGmHZzGG5veYG7AXILcgv7+wEqmMxho3rsvW+fPYteSBdUaotvt9tKhXFq1bM2SLy8K0J9qQViMT7XVIoQQQgghhKh8Go1Co86h1GsbxJ5VJ9m1NJn0k/ks+DSOiMZ+dBpQl8AIT2eXKW5AJ3NP8sWeL1h8fDEqKgoK99S9hydaPEGEZ4SzyxOixqtwiG6326uijssaNmxY6eNmzZrRvHlz6taty5o1a+jVq9c1n/eVV17hueeeK32em5tLRIT8wBCipnum9TNsS9nGocxDvLL+Fb654xu0muodTgWg5Z13sX3BHE4fOkBq4jGCo+pWy3WPHTtGdnY2Li4unNyocjo+u6QHugToQgghhBBC3Ex0Bi1tYuvQuGsYO5cks2/tKU4ezORkfCYN2ofQ/t4ovPxlrGrx91IKUvhm7zfMPzofq2oF4I7adzC+5Xjq+lTPe1khbgaVMrFodYmOjiYgIICEhAQAQkJCSEtLK9PGarWSmZl5xXHUwTHOupeXV5lFCFHzGbQGPuz2Ia46V7albOObfd84pQ4PP3/qd+wKwO4/FvxN68qzY8cOALzUcE7H51w0hItPtdUghBBCCCGEqD6uHga6DqnH8Lc6Uq9tEKhweGsKM97cyqa5CZgKLM4uUdRQmaZMPtj+Af3m9ePXI79iVa10Ce/CzLtn8lH3jyRAF6KCytUT/eJe23/no48+uuZi/s6pU6fIyMggNDQUgE6dOpGdnc3OnTtp06YNAKtWrcJut9OhQ4cqq0MI4Tx1vOvwesfXeXXDq3y15yvaBrelXUi7aq+j9V33cmjjWg5tXMttw0fj7lO1Y5Hn5ORw5MgRACynfHExaLh7vIyBLoQQQgghxK3AO9CVOx9pSss7ctk0N4HTR7LZvfwEBzeeoU3fOjTvXgut/obqJymqSK45lx8P/Mj0g9MptBYC0DqoNU+3fpo2wW2cXJ0QN65yhei7d+8u18kUpWKzRefn55f2KgdITEwkLi4OPz8//Pz8ePvttxk0aBAhISEcO3aMl156iZiYGPr06QNAo0aNiI2N5dFHH+Wrr77CYrEwYcIEhg0bRlhYWIVqEULcOO6pew9bzm5hwbEF/HPdP5lz75xqnz08NKYBofUacPboYfYs/4POg4dX6fW2b9+Bqqrozd64aD24e3wLwutLgC6EEEIIIcStJKi2F/f9oxXJ+zPYPP8YmWcK2DQ3gX1rTtGpf11i2gZVOJsRN4dCSyEzDs3gh/0/kGvOBaCRXyOebv00XcK6yP8LIa6Toqqq6qyLr1mzhh49elyyfdSoUXz55Zf079+f3bt3k52dTVhYGHfeeSfvvvsuwcEXZgvOzMxkwoQJLFy4EI1Gw6BBg/j000/x8PAodx25ubl4e3uTk5MjQ7sIcYMotBQydNFQknKT6FarG5/3/Lza/yg4tHEtiz/9EHdfPx79/Hu0ugpPM1EuxUVmPvxgEla1GJ+8xgx+7A7CG0iALoQQ1cVkMpGYmEhUVBQuLi7OLkdUkHz9hBA3K7td5dDms2xbcJyCHDMAQXW86HJ/jMyZdAsx28zMOTKHb/Z+Q4YpA4Bo72gmtJpA78jeEp4L8TfKmws79V6f7t27o6rqJcvUqVNxdXVl2bJlpKWlYTabSUpK4ptvvikToAP4+fkxY8YM8vLyyMnJ4fvvv69QgC6EuDG56d2YePtEDBoD606tY9rBadVeQ70OnXHz9qEgK5OE7Vuq5Bo2i52Zk//EqhajsRsY+EhPCdCFEEKUy+jRo1EUhSeeeOKSfePHj0dRFEaPHl3atn///mXazJkzBxcXFyZNmlTuNuWpR1EUDAYDMTExvPPOO1itjknO1qxZU7pfURSCg4MZNGgQx48fr/iLF0KIW4BGo9C4Sxgj3ulEh3uj0Bm1pCXlMn/iLv74eh/ZqYXOLlFUIavdyvyj87l7/t28t+09MkwZhHuE85+u/2HevfO4o/YdEqALUYmuqdvkjh07mD17NidOnMBsNpfZN2/evEopTAgh/k4Dvwa81O4l/r3133y862PaBLehaUDTaru+Vqenee9YtsydSdyfi2jQqWulnt9msfPHN/s4mXkYDNCqeWsiGwVU6jWEEELc3CIiIpg5cyb/+9//cHV1BRw9s2fMmEFkZOQVj/vuu+8YP348X331FWPGjLnmNn8VGxvLDz/8QHFxMUuWLGH8+PHo9XpeeeWV0jaHDx/G09OTo0eP8thjj3HPPfewd+9etFptBV65EELcOvRGLW3viqJRlzC2L0rk4IYzHN99jqQ96TS9PZy2/erg6mFwdpmikthVO38m/8nk3ZNJyk0CINA1kMebP87AegPRa/XOLVCIm1SFe6LPnDmTzp07Ex8fz/z587FYLBw4cIBVq1bh7e1dFTUKIcQVDWkwhDtq34HVbuWFtS+QZ86r1us37x2LotFw6uB+0k8kVdp5bRY7S7/ZR0J8ElZDHhqNhu59ulTa+YUQQlw7VVWxFNucslR0JMbWrVsTERFRpqPLvHnziIyMpFWrVpc95oMPPuCpp55i5syZVwzHy9PmcoxGIyEhIdSuXZtx48bRu3dvFixYUKZNUFAQoaGhdOvWjTfeeIODBw+WmUdJCCHE5bl7G+k+oiFDX29P7ab+2O0qe1efYvrrW9j1ZzJWi83ZJYrroKoq606tY8jCIby49kWScpPwMfrwfJvnWTJwCUMbDpUAXYgqVOGe6P/3f//H//73P8aPH4+npyeffPIJUVFRPP7444SGhlZFjUIIcUWKovBW57c4mHGQ0/mneXvz23zY7cNqu23N0y+AmHYdObp1E3F/LqH3I09e9zltVjtLv91P0r4Min3OAtCkSRM8PT2v+9xCCCGun9Vs55tn1jrl2o99cjt6Y8V6ZI8dO5YffviBESNGAPD9998zZswY1qxZc0nbl19+mS+++IJFixbRq1evy56vPG3Ky9XVlYyMjKvuBy65+1UIIcSV+Yd5cPeEFpyMz2Tj3AQyTuWzed4x9q89LZOP3qC2nd3GZ7s/I+5cHADuendGNRnFg40exMMgQxoLUR0q3BP92LFj9OvXDwCDwUBBQQGKovCPf/yDb775ptILFEKIv+Nl8OKDbh+gU3QsS1rGr0d+rdbrt7zzbgAOrl9NceH1jTtos9pZ+s1+kvamoxismN3OAdC+ffvrrlMIIcStaeTIkWzYsIHk5GSSk5PZuHEjI0eOvKTdH3/8wQcffMDvv/9+xXC8PG3KQ1VVVqxYwbJly+jZs+dl25w9e5aJEycSHh5OgwYNrvlaQghxq4po5MeQV9vRa1Qj3H2M5GWY+HPKAea8v5MzR7OdXZ4oh91pu3l42cM8/OfDxJ2Lw0XrwpimY1g6cCnjWoyTAF2IalThnui+vr7k5TmGSwgPD2f//v00a9aM7OxsCq8zPBJCiGvVPLA5T7d+mo92fsQH2z+gZVBL6vvWr5ZrRzRphn+tSDJOneDgupW0ir3nms5js9lZ9q0jQNfqNNS6HdL22QgNDaVWrVqVXLUQQohrpTNoeOyT25127YoKDAykX79+TJ06FVVV6devHwEBl86x0bx5c9LT03nzzTdp3749Hh6XvjEvT5urWbRoER4eHlgsFux2O8OHD+ett94q06ZWrVqoqkphYSEtWrRg7ty5GAwylq8QQlwLjUahYadQ6rYJYs+Kk+xaluyYfHTSLqJbBtJpQF18gt2cXab4iwPpB/gs7jM2nt4IgE6jY3D9wTzS7BGC3IKcXJ0Qt6Zy/xW+f/9+ALp168by5csBGDx4MM888wyPPvooDzzwwHXfzimEENdjVJNRdA3vSrGtmBfWvkChpXo+2FMUhRZ33gVA3J9LKjxeLYDdZmf5lIMk7nEE6LGPN+HoiQOAoxe63G4phBA1h6Io6I1apyzX+vtg7NixTJ06lR9//JGxY8detk14eDhr1qzh9OnTxMbGlnacqWibq+nRowdxcXEcPXqUoqIifvzxR9zd3cu0Wb9+PXv37iU3N5e4uDg6dOhQoWsIIYS4lN6gpe1ddRjxTkea3BaGosDxuHP88vZW1s06QlG+DJtVExzOPMwzq55h2OJhbDy9Ea2iZVC9QSwZsIRXO7wqAboQTlTuEL158+Z06NCBZs2aMXjwYAD+9a9/8dxzz5GamsqgQYOYMmVKlRUqhBB/R6No+E/X/xDoGkhiTiLvbXuv2q7d+Lae6F1cyTx9kpMH9lboWLtdZeW0eI7tSkOjVYh9vClFunRycnJwdXWladOmVVS1EEKIW0VsbCxmsxmLxUKfPn2u2K527dqsXbuWlJSUK4bk5WlzJe7u7sTExBAZGYlOd/mbYqOioqhbt67MBSKEEFXg/OSjw17vQO1mjslH960+xfTXNrNrmUw+6izHc47z4toXuX/h/aw6uQqNouGe6HtY0H8Bb3V+i1APmYNQCGcrd4i+du1amjRpwnvvvUejRo0YNWoUGzdu5J///CcLFixg0qRJ+Pr6VmWtQgjxt/xc/Pjvbf9FQeG3hN9YdHxRtVzX6OZG426OMV3jli0u93GqXWXNz4c4sjUVRaPQ59Gm1GkWwLZt2wBo3bo1er3MsC6EEOL6aLVa4uPjOXjwIFrt1ScmjYiIYM2aNaSlpdGnTx9yc3OvqY0QQoiayy/MnbvHt+DeZ1sSEOGB2WRj8/xjzHhzK0e2p6DaK353rai4k3kn+deGfzHg9wEsTVoKQJ86fZh/73z+77b/I9Ir0skVCiHOK3eIftttt/H9999z9uxZPvvsM5KSkrj99tupX78+77//PikpKVVZpxBClFv70PY83uJxAN7d/C7JucnVct2WJUO6JOzYQl5G+t+2V1WVdTOPEL/xLIoCd4xtTHTLQM6dO0diYiKKotCuXbuqLlsIIcQtwsvLCy8vr3K1rVWrFmvWrCE9Pf2KIXl52gghhKjZIhr6MeSViyYfzTSxfMpB5ry/gzNHs5xd3k0rpSCFtze/zb3z72XBsQXYVTs9Inow5545TLx9ItE+0c4uUQjxF4p6LYP3lkhISOCHH37gp59+Kr2dc8GCBZVZX7XIzc3F29ubnJyccr+xEELUbFa7lUf+fISdqTtp5NeI6XdNx6Ct+knJZr/9CicP7qPjwKF0GfrgFdupqsrGXxPYs+okKNB7dGMadAgBYPHixWzfvp2GDRsybNiwKq9ZCCHE1ZlMJhITE4mKisLFxcXZ5YgKkq+fEEKUj8VsK5181FLsGNYlqkUAnQfGyOSjleRc4Tm+2/cdvx75FYvdAkCX8C5MaDmBpgEyjKcQzlDeXLjcPdEvJyYmhldffZXXXnsNT09PFi8u/xAGQghRlXQaHe/f9j4+Rh/iM+P5cPuH1XLdln36AbB35TJsVstl26iqypbfjjsCdKDHyIalAbrJZGLPnj2AY0JRIYQQQgghhKgO5ycfHfluJ5p0C0fRKCTuSXdMPjrzCEV5Mvnotco0ZTJpxyTumncXMw7NwGK30C6kHdP6TuOr3l9JgC7EDeCaQ/R169YxevRoQkJCePHFFxk4cCAbN26szNqEEOK6BLsH85+u/wFg5uGZpWPMVaW6bTvi4etHYU42R7Zuumyb7YuT2LXMMcRMt2H1adwlrHTf7t27MZvNBAQEEBUVVeX1CiGEEJXhxIkTeHh4XHE5ceKEs0sUQghRTm5eBroPb8Cw19pT5/zko2tOMf11mXy0onKKc/h016f0nduXqQemYrKZaBHYgu/u/I7v+3xPq6BWzi5RCFFOuoo0PnPmDFOnTmXq1KkkJCTQuXNnPv30U4YMGYK7u3tV1SiEENesW61uPNz0Yabsn8Jbm96ioW9D6njXqbLraXU6mvfuy6ZffyZu2WIadbm9zP6dS5PYvigRgC73x9Cse63SfXa7na1btwLQsWNHFEWpsjqFEEKIyhQWFkZcXNxV9wshhLix+IW50298C04dymTj3ATST+azef4x9q09RacBdanXNljes1xBvjmf6fHTmXZgGnmWPAAa+TViQqsJ3BZ+m/y7CXEDKneI3rdvX1asWEFAQAAPPfQQY8eOpUGDBlVZmxBCVIoJrSawO203u9J28fza5/n5rp9x0VXdmKjNevVhy7yZnDl8kHPJiQTWdvQoj1txgi2/HQegY/9oWvYuO9P6oUOHyM7OxtXVlebNm1dZfUIIIURl0+l0xMTEOLsMIYQQVaBWyeSjR7alsOX34+RnFrN8ykH2rjpFl/vrEVrX29kl1hhF1iJmHprJ9/u/J7s4G4AYnxgmtJxAz8ieEp4LcQMr93Auer2eOXPmcOrUKd5//30J0IUQNwydRseHt3+In4sfR7KO8N9t/63S63n4+hHTrhMAe1Y4hpDZt+YUG+ckANDu7ijaxNa55LgtW7YA0LZtWwyGqp8EVQghhBBCCCHKQ9EoNOgYyvC3O9Lh3mh0Ri2pibnM+3Any77dT256kbNLdKpiWzE/x/9M37l9+WjnR2QXZ1PHqw4fdPuAuffOpVftXhKgC3GDK3dP9AULFlRlHUIIUaWC3IL4723/5fHljzP36FxaB7fm3rr3Vtn1mveO5ciWDcSvX01QdCzrZzmGcGndpzbt+tW5pP3p06c5ceIEGo2Gdu3aVVldQgghhBBCCHGtzk8+2qhLKNsWHOfgprMk7Ezj+J5ztOgRQZu76mB0rdDIwTc0i93Cbwm/8fWer0ktTAUg3COccS3G0S+6HzrNrfNvIcTNTr6bhRC3jE5hnRjXYhxf7PmCf2/5N439GhPjWzW3nkc2aY5PSCjZKWdZ/dMCdIZmtOgVQcf+0ZftgXC+F3rTpk3x8vKqkpqEEEIIIYQQojK4exvp8WAjmvWoxcY5CZw6lMXu5SeI33yW9ndH0eS2MDTacg9+cMOx2q0sPr6YL/d8yen80wAEuwXzWPPHGBAzAL1W7+QKhRCV7eb9iSaEEJfxWPPH6BjakSJrEc+vfZ5CS2GVXEfRaAhr0BUAm2kvTW8Pp8v9MZcN0HNzczlw4ADgmFBUCCGEEEIIIW4EAbU8ufeZlvQb3xzfEDdM+RbWzTzCzHe3kbQvHVVVnV1ipbKrdv5I/IMBvw/gtY2vcTr/NP4u/vyz/T9ZPHAxQxoMkQBdiJuU9EQXQtxStBot/73tvwxeOJjjOcd5Z8s7vNf1vUofn+543DmO7w0AtKi2VBq011zxGtu2bcNutxMZGUlYWFil1iGEEEIIIYQQVUlRFOo0CyCisR8H159h28JEslIKWTx5LxGNfOlyfz38wz2cXeZ1sat2ViSv4Ms9X5KQ7Zjrysfow9imYxnWcBiuOlcnVyiEqGrSE10Iccvxd/Xng24foFW0LD6+mLlH51bq+U8cyGDZt/sBV3xCmwGwb+Wyy7Y1m83s2LEDgE6dOlVqHUIIIYQQQghRXbRaDc2612Lkux1pdUckGp3CyfgsZv17G6unH6Igp9jZJVaYqqqsTF7J4IWDeX7t8yRkJ+Cp92RCywksHbSUMU3HSIAuxC1CQnQhxC2pbUhbnmr1FADvbX2PQ5mHKuW8ZxOy+eOrfdhtKnVbB3HHI0MAiN+4FnPRpUPH7NmzB5PJhK+vLw0aNKiUGoQQQgiA0aNHoygKTzzxxCX7xo8fj6IojB49usz2zZs3o9Vq6dev3yXHJCUloShK6eLv78+dd97J7t27S9t0796dZ599tsxxn3zyCUajkZkzZ1bK6xJCCFGzGd30dB4Uw/A3O1K3dRCqCgc3nOHnN7awY0kSVrPN2SX+LVVVWX1iNUMWDeHZNc9yJOsIHnoPnmjxBEvvX8rjLR7HXe/u7DKFENVIQnQhxC1rTNMxdKvVDbPdzPNrnifPnHdd5zt3Mo9Fk/ditdiJbOLHHWMbE9GkGX5htbCYiojfsKZMe7vdXjqhaIcOHdBo5EeyEEKIyhUREcHMmTMpKioq3WYymZgxYwaRkZGXtJ8yZQpPPfUU69at48yZM5c954oVKzh79izLli0jPz+fvn37kp2dfdm2b775Jq+++iq///47w4YNq5TXJIQQ4sbgHehK7GNNGfhCa4LqeGEptrF1wXF+fnMLh7emoNpr3njpqqqy7tQ6hi0extOrn+ZQ5iHcdG481vwxlg5ayviW4/EyeDm7TCGEE0hiI4S4ZWkUDf/p8h9C3UM5kXeCNze9ec0T32SnFrLw0zjMRVZCY7yJfbwZWp1jHPTmvfsCsGfF0jLnT0hIICMjA6PRSKtWrSrlNQkhhKh6qqpiMZmcslT091Tr1q2JiIhg3rx5pdvmzZtHZGTkJb978vPzmTVrFuPGjaNfv35MnTr1suf09/cnJCSEtm3bMnHiRFJTU9m6desl/0ZPPfUUn376KcuXLyc2NrZCdQshhLh5hMb4cP9LbbhjbGM8fI3kZxWz4oeDzHl/B2cSsp1dHuD4vbX+1HpGLBnB+JXjOZhxEFedK480e4Rlg5bxVKun8DZ6O7tMIYQTycSiQohbmo+LDxNvn8iopaNYnrycGYdmMKLRiAqdIy/TxO8f76Yoz0JAhAf9xrdAb9CW7m98e0/W/zKVc0nHSTl2hNAYx7At53uht27dGqPRWHkvSgghRJWyFhfz6aj7nXLtp3+cg97FpULHjB07lh9++IERIxy/377//nvGjBnDmjVryrSbPXs2DRs2pEGDBowcOZJnn32WV1555aqTb7u6OsaBNZvNpdusVisjR45k1apVrF27lubNm1eoXiGEEDcfRaNQv30I0S0D2bPqJDv/SCYtOY/5E3dRt3UgnQbE4B1Y/WOLq6rK5jObmbxnMnvP7QXAVefKsIbDGN1kNH4uftVekxCiZpKe6EKIW17zwOa80PYFACbumFj6x1N5FOaa+f3j3eRnFeMb4sa9T7fE6Fr280lXD08adOwKwN4VSwFISUnh+PHjKIpC+/btK+mVCCGEEJcaOXIkGzZsIDk5meTkZDZu3MjIkSMvaTdlypTS7bGxseTk5LB27dornjc7O5t3330XDw+PMr/Lvv32W+bMmcPq1aslQBdCCFGGzqClTWwdRr7bica3haEocGzXOWa8vYWNcxMoLrRUSx2qqrLl7BZGLR3F4yseZ++5vbhoXRjVeBR/DPyD59o8JwG6EKIM6YkuhBDA8IbD2Zm6k+XJy3luzXPMvmf23/7RZCqwsODTOHLSivD0c+HeZ1ri6mm4bNvmvftycP1qDm1cx+0PPszGjRsBaNKkCb6+vpX+eoQQQlQdndHI0z/Ocdq1KyowMLB0eBZVVenXrx8BAQFl2hw+fJht27Yxf/58x3V0OoYOHcqUKVPo3r17mbadO3dGo9FQUFBAdHQ0s2bNIjg4uHR/165diYuL4/XXX+eXX35Bp5O3HEIIIcpy8zLQY0RDmnevxcY5RzkZn0Xc8hMc2nSW9vdE0fi2MLTaqun3uT1lO5PjJrMzdScARq2RwfUH83CzhwlwDfibo4UQtyr5i1YIIQBFUXin8zsczTpKUm4SL617ia97f41Wo71se0uxjcWT95BxKh9XLwP3PtMSD98r314f1qARARG1ST+ZzM4VS9m//wDgCCKEEELcWBRFqfCQKs42duxYJkyYAMDkyZMv2T9lyhSsVithYWGl21RVxWg08vnnn+PtfWEc2FmzZtG4cWP8/f3x8fG55FzNmjVj0qRJ9O7dm6FDhzJr1iwJ0oUQQlyWf7gH9zzdkhMHMtk45yhZKYWsm3mEvatP0WVQDLWb+V91WLGK2Jm6ky/ivmBbyjYA9Bp9aXge5BZUKdcQQty8ZDgXIYQo4WHw4H/d/4erzpWtZ7fyedznl21ns9j546u9pBzPxeim475nWuIT7HbVczsmGHVMqrZ16zZUVSU6OrpMWCGEEEJUldjYWMxmMxaLhT59+pTZZ7VamTZtGpMmTSIuLq502bNnD2FhYfzyyy9l2kdERFC3bt3LBujntWzZkpUrV7Ju3TqGDBmCxVI9t+cLIYS48SiKQu2m/gx7vT23P1AfV0892amFLP5iLws+iSP9VN51nT8uLY5H/3yU0UtHsy1lGzqNjqENhrJk4BJe6fCKBOhCiHKREF0IIS4S4xvD253fBuC7fd+x6sSqMvvtNjt/fn+Ak/FZ6Ixa7p7QAv9wj3Kdu9FtPdC4uJGrc9yK36VLl8otXgghhLgCrVZLfHw8Bw8eRKste5fVokWLyMrK4uGHH6Zp06ZllkGDBjFlypRrumaLFi1YtWoVGzZskCBdCCHE39JoNTS9vRYj3ulE6z6RaHQKpw5lMes/21n1UzwFOcUVOt+ec3t4fPnjPPjHg2w5uwWdomNw/cEsGbCE1zq+Roh7SBW9EiHEzUhCdCGE+Iu+UX0Z2cgxsdq/NvyL5NxkAFS7yurphzi++xwancJd45oREu19tVOV4eLugWfT1qDR4qbTEB0dXSX1CyGEEJfj5eWFl5fXJdunTJlC7969ywzZct6gQYPYsWMHe/eWf9LtizVr1oxVq1axadMmBg8ejNlsvqbzCCGEuHUYXXV0GhDDiLc6EtM2CFSI33iW6W9sYceSRCxm21WP35++n3ErxjFyyUg2ndmETtExqN4gFg1cxBud3iDUI7SaXokQ4maiqKqqOrsIZ8vNzcXb25ucnJzLvrEQQtx6LHYLDy97mN1pu6nnW4+fYn9i1/zT7F19CkWjEPtYU6JbBlbsnBYLkyZOxFRcjHvqCZ6e9BlGN/cqegVCCCEqi8lkIjExkaioKFxusLHQhXz9hBDiRpdyPIcNvx4lNTEXAA9fIx3716V+u2AUzYXx0g9mHOSLuC9Ye2otAFpFyz117+Gx5o8R4RnhlNqFEDVfeXNhmeFHCCEuQ6/RM/H2iQxZOISjWUf55NsZeO+rC0CvhxpWOEAHiIuLw1RcjNZuQ8lM49DGtbS4467KLl0IIYQQQgghbhoh0d4MeqkNCTvS2DQ/gfzMYlb8cJC9q07S5f56ZPmd5qu4r1hzag0AGkXD3dF383jzx4n0inRu8UKIm4aE6EIIcQVBbkFMvH0in0z9Ce8kR4B+29D6NOhY8dv/7HY7mzZtAqBRndokH97NvlV/SoguhBBCCCGEEH9DURTqtQsmqkUAe1adZOfSZNKS85g/aRfH/fawK3I/GjcNfaP68kTzJ6jjXcfZJQshbjISogshxFW4HQujY9J9AOyIXEKXJn5ArQqfJz4+nqysLFxdXel9X39+WLGI1OMJpCYeIziqbiVXLYQQQgghhBA3H51Bi75NLnut87Fv96NRameiM1sQld2M6C4+9GzdAhd3vbPLFELchGRiUSGEuIKEnWmsmX4IgOyGx9gRtozn1zxPelF6hc6jqiobN24EoH379vj4BxDTvhMA+1f/WblFCyGEEEIIIcRNKC4tjieWP8GIJSNYm7GSTXXnkX73NgIbuKLYNSSuz2X6G5vZu/okNpvd2eUKIW4y0hNdCCEuI/lABsu/P4CqQuOuYbQb0p6tSxaSmJPIS+te4ps7vkGnKd+P0MTERM6cOYNOp6N9+/YANOt5J0c2ryd+/Rq6jRyL3mCswlcjhBBCCCGEEDem3Wm7+TLuSzaf3QxcmDD00WaPlo55nnwgg01zE8g8U8D6WUfZt+Y0nQfWpU7zABRFudrphRCiXKQnuhBC/MWZhGyWfrUPu00lpm0Qtw9vgIfBg4+7f4ybzo3tKdv5dNen5T7funXrAGjdujXu7u4A1G7aAq/AIIoLCzi6dVOVvA4hhBBCCCGEuFHtSNnBI8se4aE/HmLz2c3oFB0D6w1k4YCFvNvl3TKThtZu4s/Qf7Xj9uENcPXUk51ayJIv9/H7x7s5dyLPia9CCHGzkBBdCCEucu5EHos/34PVYqd2U396j26MRuPouRDtE807Xd4B4IcDP7A0aenfnu/EiRMkJSWh0Wjo0qVL6XZFo6FpjzsA2LdqWRW8EiGEEEIIIYS48WxP2c7YZWMZs2wMW1O2olN0DKo3iIUDFvJ257eJ8Iy47HEarYam3cIZ+U4nWsfWRqvTcPpwNrPf287KafEUZBdX8ysRQtxMZDgXIYQokZVSwIJP4zCbbITV86HPY03R6sp+1tinTh/2p+9n6oGpvLHxDaK8omjg1+CK51y/fj0ALVq0wNvbu8y+Jrf3ZvOvv3Dq4H4yz5zGLyy88l+UEEIIIYQQQtRwqqqyPWU7X+75kh2pOwDQaXQMiBnAI80eIcwjrNznMrjq6NS/Lk1uC2PLb8c5uj2VQ5vOkrAjlVZ31qbVHZHojdqqeilCiJuU9EQXQgggN72I3z+Ow5RvITDSk35PNkdvuPwfVs+0foZOoZ0oshbxzOpnyDZlX7bd2bNnOXr0KIqi0LVr10v2ewUEUqdlawD2r1leaa9FCCGEEEIIIW4Eqqqy5ewWRi8dzcN/PsyO1B3oNXqGNhjKkgFLeKPTGxUK0C/m5e/KnQ83YdDLbQiJ9sZqtrN9USI/v7GZ+E1nUe1qJb8aIcTNTEJ0IcQtryCnmAWfxFGQXYxviBv3PN0Cg+uVb9TRaXR8ePuHhHuEczr/NC+tewmr3XpJu/O90Js0aYK/v/9lz9Ws550AHFizApv10nMIIYQQQgghxM1GVVU2nd7EqKWjePTPR9mVtgu9Rs+wBsNYMnAJr3V8jVCP0Eq5VkiUNwNfbE2fR5vi6e9CQY6ZVdPimf3edk4fzqqUawghbn4SogshbmmmAgsLP40j51wRnv4u3PtMK1w9DH97nLfRm096fIKrzpXNZzfzya5Pyuw/d+4cBw8eBOC222674nmiW7fHzduHwpxsju/efn0vRgghhLjI6NGjURSFJ5544pJ948ePR1EURo8eXWb75s2b0Wq19OvX75JjkpKSUBSldPH39+fOO+9k9+7dpW26d+/Os88+W+a4Tz75BKPRyMyZM/+25u7du5ee38XFhcaNG/PFF1+U7wULIYSo8VRVZcPpDYz8YySPr3ic3Wm7MWgMjGg0gj8G/sG/Ov6LEPeQSr+uoijEtAli+Fsd6DSwLgYXLekn8/ntf7tZ8uVeslMLK/2aQoibi4ToQohbltlkZdHne8g4XYCbl4F7n2mJh6+x3Mc38GvAu13eBWDqgaksOb6kdN+GDRscbRo0IDg4+Irn0Op0NLm9FwD7V/15LS9DCCGEuKKIiAhmzpxJUVFR6TaTycSMGTOIjIy8pP2UKVN46qmnWLduHWfOnLnsOVesWMHZs2dZtmwZ+fn59O3bl+zs7Mu2ffPNN3n11Vf5/fffGTZsWLlqfvTRRzl79iwHDx5kyJAhjB8/nl9++aVcxwohhKiZVFVl3al1jFwyknErxrH33F6MWiMjG41k6aCl/LP9Pwl2v/L7psqi02tpfWdtRr7biWa3h6NoFBL3pPPL21tZP/sIpgJLldcghLgxSYguhLglWS02/vhqH6mJuRjddNz7TEt8gtwqfJ4+dfrwcNOHAXhz05scyjxEZmYme/fuBaBbt25/e46mPRxDuiTu3kleRnqFaxBCCFG9VFXFbrY5ZVHVio3f2rp1ayIiIpg3b17ptnnz5hEZGUmrVq3KtM3Pz2fWrFmMGzeOfv36MXXq1Mue09/fn5CQENq2bcvEiRNJTU1l69atl/wbPfXUU3z66acsX76c2NjYctfs5uZGSEgI0dHRvPXWW9SrV48FCxaU/0ULIYSoMeyqneXJyxmyaAjjV45nb/peXLQuPNT4IZYOWsrL7V8m0C2w2uty9TTQ7YEGDHu9PbWb+WO3q+xddYrpr28mbsUJbFZ7tdckhKjZrjzorxBC3KTsNjt/fneAU4ey0Bu13PNUS/zDPa75fE+1eopDWYfYeHojz6x6hkd1j6KqKnXr1iU8PPxvj/cLC6dWo6acit/PgTUr6DiofD31hBBCOIdqsXPmjU1OuXbYO51RrjDx9ZWMHTuWH374gREjRgDw/fffM2bMGNasWVOm3ezZs2nYsCENGjRg5MiRPPvss7zyyisoinLFc7u6ugJgNptLt1mtVkaOHMmqVatYu3YtzZs3r1C9l7vGxecXQghR81ntVpYmLeW7vd9xLOcYAK46V4Y1HMZDjR8iwDXAyRU6+IW6c/f4FpyMz2TjnAQyTuezcU4C+9eepvPAGKJaBlz196AQ4tYhPdGFELcU1a6yatohEveko9VpuOvJ5gRHeV3XObUaLe/f9j4RnhFk5mSyb88+4Opjof/V+QlG961ejmqXXg9CCCEqz8iRI9mwYQPJyckkJyezceNGRo4ceUm7KVOmlG6PjY0lJyeHtWvXXvG82dnZvPvuu3h4eNC+ffvS7d9++y1z5sxh9erV1xWg22w2pk+fzt69e+nZs+c1n0cIIUT1sdgszD86n/t+u49X1r/CsZxjeOo9ebz54/w56E+ea/NcjQnQLxbRyI8h/2pHjwcb4uZlIOdcEX98vY/5k3aRlpzr7PKEEDWA9EQXQtwyVFVl/eyjHN6agqJR6PNoE2o18K2Uc3sbvfm0x6f8e+q/UVQFja+GOnXqlPv4eh06s+qHr8k9l8qJ/Xup3bxlpdQlhBCi8il6DWHvdHbatSsqMDCwdHgWVVXp168fAQFlA4zDhw+zbds25s+fD4BOp2Po0KFMmTKF7t27l2nbuXNnNBoNBQUFREdHM2vWrDLzf3Tt2pW4uDhef/11fvnlF3S6ir3l+OKLL/juu+8wm81otVr+8Y9/MG7cuAq/biGEENWn2FbM/KPz+X7/95wtOAuAj9GHhxo/xLCGw/A0eDq5wr+n0Sg07hJGTJsgdv95grjlJzibkMOv7+2gQYcQOtwXjaefi7PLFEI4iYToQohbxraFiexbcwoU6DWqEVEtKnfsvUBNIFF5UaiorDGuodWxVtxT955yHas3utCwa3f2/LmYfav/lBBdCCFqMEVRKjykirONHTuWCRMmADB58uRL9k+ZMgWr1UpYWFjpNlVVMRqNfP7553h7e5dunzVrFo0bN8bf3x8fH59LztWsWTMmTZpE7969GTp0KLNmzapQkD5ixAj+9a9/4erqSmhoKBqN3DwrhBA1VaGlkF+P/MrUA1NJL3LM7xTgGsDoJqMZXH8wbvqKzzvlbAYXHR3ujaZx1zC2/n6cw1tTOLw1hYRdabS6I5JWd0ZicJE4TYhbjXzXCyFuCbv/PMGOJUkAdBtanwYdQir9Ghs2bEC1q+j8dZxzOcfbm98m2ieaJv5NynV8sx53sOfPxSRs34wpPx8Xj2sfp10IIYS4WGxsLGazGUVR6NOnT5l9VquVadOmMWnSJO68884y+/r3788vv/zCE088UbotIiKCunXrXvV6LVu2ZOXKlfTu3ZshQ4Ywa9Ys9Hp9uWr19vYmJiamnK9MCCGEM+SZ85h5aCY/HfyJrOIsAELcQ3i46cMMqDcAo9bo5Aqvn6efC73HNKZ5z1ps+PUoZxNy2LEkiYMbztDhvmgadgpFo5Hx0oW4VUiILoS46R1Yf5pN8xIA6Ng/mmbda1X6NXJycti1axcAD/R7gJTEFNaeWsszq57hl36/lGvG+aCougRE1iH9RBKHNq2j5Z13VXqdQgghbk1arZb4+PjSxxdbtGgRWVlZPPzww2V6nAMMGjSIKVOmlAnRy6tFixasWrWKXr16MWTIEGbPnl3uIF0IIUTNlG3KZnr8dGbEzyDPkgdAhGcEjzZ7lLuj70avvfl+zgfV9mLA8605HneOTfOOkXuuiNU/HWLvqlN0uT+GiEZ+zi5RCFEN5N5IIcRN7eiOVNbMOAxAqzsjad2ndpVcZ/369dhsNmrXrk3d6Lq8d9t7RHlHkVqYyrOrn6XYVvy351AUhabdewOwf/XyKqlTCCHErcvLywsvr0sn054yZQq9e/e+JEAHR4i+Y8cO9u7de03XbNasGatWrWLTpk0MHjwYs9l8TecRQgjhXOlF6Xy08yP6zO3D13u/Js+SR7R3NO/d9h4L+i9gQL0BN2WAfp6iKNRtFcTwNzvQ5f4YjG46Mk7ns+CTOBZN3kPm2QJnlyiEqGKKqqqqs4twttzcXLy9vcnJybnsGwshxI0paV86f3y5D7tdpcltYdw+vAGKUvm322VnZ/Ppp59it9sZPXp06YSiJ3JP8MDiB8g159Ivuh/vdX3vb69fmJvD1088hN1mY9SHnxMQWafS6xVCCFExJpOJxMREoqKicHGRCcVuNPL1E0KIa5dSkMLUA1OZc2ROaceghn4Neaz5Y/SK7IVGuTX7ZpryLWxfksj+Naex21UUjULT28Jod3cUrp4GZ5cnhKiA8ubCTv1pt27dOu655x7CwsJQFIXffvutzH5VVXnjjTcIDQ3F1dWV3r17c/To0TJtMjMzGTFiBF5eXvj4+PDwww+Tn59fja9CCFETnTmaxdJv9mO3q9RrF0y3B6omQAdHL3S73U6dOnVKA3SASK9IPur+EVpFy+Lji5myf8rfnsvNy5vo1u0A2L9mRZXUK4QQQgghhBBXczLvJG9vfpu+8/ryc/zPFNuKaR7QnMm9JjP77tncUfuOWzZAB3Dx0HPbkPo88GYHoloEoNpV9q09zfTXN7Prz2RsFruzSxRCVDKn/sQrKCigRYsWTJ48+bL7P/jgAz799FO++uortm7diru7O3369MFkMpW2GTFiBAcOHGD58uUsWrSIdevW8dhjj1XXSxBC1EBpybksmrwXm8VO7Wb+9BrdqMomfMnOzmb37t0A9OjR45L9HUI78Er7VwD4dNenrDqx6m/P2aT7HQDEb1iDzWqtxGqFEEII51m/fj0eHh5XXIQQQjjfkawjvLzuZe6efzdzjszBarfSNrgt3975LdPvmk63Wt2qrHPSjcgn2I27xjWn/z9aERDhgdlkY/O8Y8x4ewsJO9OQwR+EuHnUmOFcFEVh/vz59O/fH3D0Qg8LC+P555/nhRdeABwT9wUHBzN16lSGDRtGfHw8jRs3Zvv27bRt2xaApUuXctddd3Hq1CnCwsLKdW0ZzkWIm0fmmQLmT9qFqcBCWD0f7nmqBTqD9u8PvEYLFixg165dREVFMWrUqCu2+8+W/zDz8Excda781PcnGvg1uGJbm9XKN0+OpjAnm/teeI2Ydh2ronQhhBDlJMOBVI6ioiJOnz59xf0xMTFVcl35+gkhxN+LS4vju33fsfbU2tJtXcK78GizR2kT3MaJld04VLvK4a0pbPntGAU5jjlAQqK96TI4hpCoS+cdEULUDOXNhXXVWFOFJCYmkpKSQu/evUu3eXt706FDBzZv3sywYcPYvHkzPj4+pQE6QO/evdFoNGzdupUBAwZc9tzFxcUUF1+Y5C83N7fqXogQotrkphex4JPdmAosBNX2pN+Tzas0QM/KyiIuLg64fC/0i73U/iUScxPZenYrT696mhn9ZuDv6n/ZtlqdjsbderJj4Tz2r1khIboQQoibgqura5UF5UIIISpOVVU2ntnId/u+Y2fqTgAUFO6scycPN32YRv6NnFzhjUXRKDTsFErd1kHsXn6C3X8mk3I8h7nv76Reu2A69o/Gy9/V2WUKIa5RjR3AKiUlBYDg4OAy24ODg0v3paSkEBQUVGa/TqfDz8+vtM3lvPfee3h7e5cuERERlVy9EKK6FeQU8/sncRTkmPENdefup1pgcK3azwnXrl2L3W4nOjqayMjIq7bVa/RMun0Stb1qc6bgDM+teQ6zzXzF9k27Oz5APL5rGwXZWZVatxBCCCGEEOLWZbPbWJq0lKGLhjJuxTh2pu5Ep9ExqN4gFg5YyMTbJ0qAfh30Ri3t745i5DudaNg5FBQ4uj2VGW9uZfNvxzAXyZCdQtyIamyIXpVeeeUVcnJySpeTJ086uyQhxHUwFVhY8EkcueeK8Apw4d6nW+LqUbUzoqelpbFnzx4AevbsWa5jvI3efNrzUzz1nuxK28W7W9694hh5/rUiCYmpj2q3E79+daXVLYQQQgghhLg1mW1m5h6Zy32/38eLa18kPjMeV50rDzV+iKUDl/JW57eo7VXb2WXeNNx9jPR6qBFDXmlHeAMfbFY7u5YmM/2Nzexfdxq7TSYfFeJGUmOHcwkJCQEgNTWV0NDQ0u2pqam0bNmytE1aWlqZ46xWK5mZmaXHX47RaMRoNFZ+0UKIamc2WVn42R4yzxTg5m3g3mda4eFb9d/fq1atQlVVGjZsSK1atcp9XLR3NBNvn8i4leP4LeE3YnxiGNXk8mOpN+3em5SEI+xfs4I2dw+QCXyEEEIIIYQQFVZoKeTXI78y7eA00godGYqXwYsRjUYwvOFwfFx8nFvgTS4w0pP7nm1F0t50Ns07RnZqIWtnHGbfmlN0GRRDZJPLD/NZmVRVRVXBrqrYS9aqCioXPbef3+/YpvKXY+yXOeai89ntlznmojYXtl/ahoueq6qKiqM9qCX1U7rt/DXUktd14TVetE89f+SF8/GXYy85pmRDmX0X1XLV65XWe2Hbxf/ul9t//nplvk5lvmZ/+RqiXmVf+Y7jKsdF+LnxYEf5EO1qamyIHhUVRUhICCtXriwNzXNzc9m6dSvjxo0DoFOnTmRnZ7Nz507atHFMdLFq1SrsdjsdOnRwVulCiGpitdhY8uU+0pJyMbrruPeZlngHVv0Yc6dOneLQoUMoilLuXugX6xzemZfavcR/t/2Xj3Z+RJR3FN1qdbukXYPO3Vjz43dknDpB6rGjhMTUr4zyhRBCCCGEELeAnOIcZsTP4OdDP5NTnANAkGsQDzV5iMH1B+Omd3NyhZVLVVVsdhWrXcVis2Ozq1hsKla7HavNsd1qs5esS7Zf1NZqu+i4v7S12e0XzlW6rWRRVex/faxetL8knLbZVWz19Pi4uxB0opjMMwUs/GwP2V5akiL05BkV7HawqY5az5+z9NiSc5fuU8ueu3RfmZBaLRPgCnEl7aP8JET/G04N0fPz80lISCh9npiYSFxcHH5+fkRGRvLss8/y73//m3r16hEVFcXrr79OWFgY/fv3B6BRo0bExsby6KOP8tVXX2GxWJgwYQLDhg0jLCzMSa9KCFEdbDY7y749wOnDWeiNWu55qiX+YR7Vcu2VK1cC0Lx580vmZSiv4Q2HczTrKHOPzuXFtS8yre80Gvg1KNPGxd2DmPadOLRxLfvXrJAQXQghhBBCCPG3UgtSmXZwGr8e+ZUiaxEAkZ6RjG06lnvq3oNBe21DX6qqSrHVXrLYKLY41maritlmx2KzY7baHY/Pr0u3qZitjufn95lL9llK1+pltpU9tvQcFwXcpSG4/cZJio1u0KlYR+tiHT65NpofsLLXYGOji4XCGjLwskYBjaKgKKAoSunz0m2ARqOUbLvQRuGi55qLjgGUv5zj4rWmpMH5do614zml2xw7lIuen79h+9Lnfz32wjZHG+Uv+y4cX3qOMte7+Ni/1PfXa1/2fFfef7GLn17tbvRLj1Ousu8qx5VsiPC7uT5UqwpODdF37NhBjx49Sp8/99xzAIwaNYqpU6fy0ksvUVBQwGOPPUZ2djZdu3Zl6dKluLi4lB7z888/M2HCBHr16oVGo2HQoEF8+umn1f5ahBDVR7WrrPoxnqS96Wh1Gvo92ZzgOl7Vcu1jx46RmJiIVqule/fu13weRVH4V4d/cSrvFFtTtjJ+5Xhm9JtBkFvZUL5p9zs4tHEthzatpftDj6AzVO1Y70IIIYQQQoiaT1VVTBY7RRYbhWYrJouN49lJ/Jb4M5tSl2FTHZNXhrhE0953MLVdOpByWuHz5CSKLTaKrXZMJetiqw2Tpey62GLHdH5d2u7GHMNbp1HQaRV0Gs2Fdck2vVaDVqOg01x4rC/TVkGn1ZSu9RrF0b5km7YkRNZqHIGyVrmwTadRHNtKtjv243iu0aDVgD3PQuH2DEyJ+bQ062ilGvBtG4B/K3/0Bm3pOTUa0CqOmjXKxdct+1incYSyWo1SNsy+KLxG4ZJA/K9htgwlKsSlFPVKs9rdQnJzc/H29iYnJwcvr+oJ4oQQ10ZVVdbNPML+tafRaBT6PtGMOs0Dqu3a3377LWfOnKFDhw707dv3us+ZU5zDg388SGJOIo38GjE1dmqZ2ypVu51vn3qYvPRz9Hv6RRp2uf26rymEEKJiTCYTiYmJREVFlenMUdONHj2aH3/8kccff5yvvvqqzL7x48fzxRdflHZeOW/z5s107dqV2NhYFi9eXOaYpKQkoqKiSp/7+fnRpk0b3n//fVq1agVA9+7dadmyJR9//HFpu08++YSXXnqJH3/8kWHDhl215u7du7N27VrAMY9RdHQ0EyZM4MknnwRg6tSpjBkzBnC8wQ8LC+OOO+7g/fffv+LdYTfq108IcWNTVUev6oJiGwXFVgrMVorMNsdisVFYsr74uakkEL/w+ML+IrOt7HaLrfRaGpcTGPzXofM8gKI4Ih5rQRTmjO7YCupTth9q5VAUcNFpMeg0jkV7Ya3XOQLpMtu0GvSl7ZTLbDvfTrnMtrLH6ku2lQ24HcG3XquUBOEXQu4bIRA+czSbjXOOkpacB4CHn5FOA+pSr23wDVG/EDey8ubCNXZMdCGEuJytvx9n/9rToECvMY2qLUAHiI+P58yZM+j1em677bZKOae30ZvJvSYzcslI4jPjeXndy3zc42O0Gi0AikZDk9t7sWXuTPavWSEhuhBCiAqJiIhg5syZ/O9//8PV1TFviMlkYsaMGURGRl7SfsqUKTz11FNMmTKFM2fOXHaIxBUrVtCkSRNOnTrF008/Td++fTl06BA+Pj6XtH3zzTeZOHEiv//+O7GxseWq+dFHH+Wdd96hsLCQadOmMX78eHx9fXnggQcA8PLy4vDhw9jtdvbs2cOYMWM4c+YMy5Ytq8C/jBBClHV+qJL8YiuFxTbyS4Lv888Liksem63knw/GS9oUlLQvvOhxQbG1iocXsaP1OILBby0698TSrYbipviY++ClqYcxWIOLXotRd2Ft1Glx0ZddG/UaXErWxtL11Y/Va2+McPpGEVbPh/tfbsuR7als+e0Y+ZnFLJ9ykD0rT9H1/hhCY3ycXaIQtzwJ0YUQN4xdy5LZuTQZgNsfaED9diHVdm2bzcaqVasAx6TGHh6VN/56hGcEn/b8lIeXPcyaU2uYuGMiL7d/uXR/k9t7s2XuTJL3xZGbnoZXwLWNwy6EEKJyqKqKxWJxyrX1en2FQovWrVtz7Ngx5s2bx4gRIwCYN28ekZGRZXqVg2O+olmzZrFjxw5SUlKYOnUqr7766iXn9Pf3JyQkhJCQECZOnEiXLl3YunUrffr0KW2jqipPP/0006dPZ/ny5XTu3LncNbu5uRES4vgd/9ZbbzFjxgwWLFhQGqIrilK6PywsjKeffprXX3+doqKi0g8KhBC3FptdJb/YSp7JQp7JWrJYSte5f9n217a5JguFZhu2Kgq9XfQa3A06XA1aXPVa3AxaXErWbgZd6ePz+10NZduc3+aq16LXqWxLW8n8xOkk5R4HQKfRcXf03YxuMpq6PnWr5DWIqqdoFBp0CCG6VSB7Vpxk17Jk0pJymTdxF3VbB9FpQF28A+X3nBDOIiG6EOKGcGD9aTbPPwZApwF1adotvFqvv2fPHtLT03F1da1QEFBeLQJb8J+u/+GFtS8wPX46EZ4RDG80HACf4BBqNW7KqYP7Obh2FR0HXf1WeCGEEFXLYrHwf//3f0659quvvoqhgvNjjB07lh9++KE0RP/+++8ZM2YMa9asKdNu9uzZNGzYkAYNGjBy5EieffZZXnnllauG9udDa7PZXLrNarUycuRIVq1axdq1a2nevHmF6r3cNS4+/+X22+12rFbrdV1HCOE8VpudXJOVnCILOUUWsgvN5BRZyC1yBOC5VwjHz2/LL67c739XvRZ3ow4Po2PtbtDhXubxhX1u5x8bdHhc/Nyow82gw92gRae9/pki8835zDkyh5/ifyKtMA0Ad707Q+oPYUSjEQS7B1/3NUTNoDdoaXtXHRp1CWXbwkTiN57h2K40Eveeo3mPCNr2rY3RTe/sMoW45UiILsguNONu1KGvhF/sQlSFI9tTWDPjMACt+9SmdZ/a1Xp9s9nM6tWrAejatWuVjafap04fTuad5JNdn/D+9vep5VmLbrW6AY4JRk8d3M+BtSvpMHCo3DophBCi3EaOHMkrr7xCcrLjbq6NGzcyc+bMS0L0KVOmMHLkSABiY2PJyclh7dq1V5xIOzs7m3fffRcPDw/at29fuv3bb78FHB9AN2zY8Jrrttls/PLLL+zdu5fHHnvssm2OHj3KV199Rdu2bfH09Lzmawkhrp/NrpJnspQG4RcCcUtpIH7x8/NLbpGFvEoKwQ1aDZ4uupJFf5nHerwus83D6AjA3Y2OnuFaTc35WzutMI2f439m9uHZ5FvyAQh0DWRk45EMrj8YT4P87LtZuXsb6TGyIc2612LjnKOcOpRF3PITHNp0lrb96tC0WzhaneQ4QlQXCdFvcfnFVh6cso1ATyOTh7fG1aB1dklClJG0N52VP8SDCk27hdOxf3S117B582by8vLw8fEpExJUhYebPszJvJPMOzqPF9a+wLS+02jo15D6Hbqw8vuvyE49y+n4A9Rq3LRK6xBCCHFler3+ssOcVNe1KyowMJB+/foxdepUVFWlX79+BASUnVPk8OHDbNu2jfnz5wOg0+kYOnQoU6ZMuSRE79y5MxqNhoKCAqKjo5k1axbBwRd6QHbt2pW4uDhef/11fvnlF3S6ir3l+OKLL/juu+8wm81otVr+8Y9/MG7cuNL9OTk5eHh4YLfbMZlMdO3ale+++66C/ypCiCtRVZUii42sQgtZBWayCs1kFpjJLrSUrM1kFjp6i2eV9BjPKXQE4ep1jobibtDi7arH282At6sOb1c9Xi56vFwdgbeHUYfXReH3X0NyF/3N8372ePZxph6YysLjC7HaHR8yRHtHM7rJaPpF98OgrdhdSeLGFVDLg3ufaUny/gw2zU0gK6WQDbOPsm/1KToNqEt0q0DpZCVENZAQ/RYXfzaXI6l57Dudw8gpW5kyqi0+bvLLWNQMpw9nsfTb/djtKvXaBdNtWP1q/+MgLy+PDRs2ANCrV69rCi8qQlEUXuv4GqfzT7P17FbGrxjPz/1+JsQ9hAadbmP/6j/Zv2aFhOhCCOFEiqJUeEgVZxs7diwTJkwAYPLkyZfsnzJlClartcxEoqqqYjQa+fzzz/H29i7dPmvWLBo3boy/v/9lJxNt1qwZkyZNonfv3gwdOpRZs2ZVKEgfMWIE//rXv3B1dSU0NBSNpmwvO09PT3bt2oVGoyE0NFTGQRfiKlTVMVb4+QA8qyT4ziqwlITh5ovC8guhebHVfs3XdNVr8XHTOwJwV8f6/OLjqsf7L/t8XC88l7ujYXfabr7f/z1rTq4p3dY6qDVjmo6hW61uaBT5N7oVKYpCnWYBRDb24+DGs2xblEjOuSKWfrOfkGhvutwfQ0i099+fSAhxzSREv8W1q+PH9Ec68PDU7exMzmLI15v5cWx7Qr3lzYi4RtZiMOWCKRtMOY7FaipZii8stpL1FbqrpGa4s3h1A2xWLXUi8unVNBFlz27QGkFnKFkbweAORk8weDjWRk/QVF4PlNWrV2OxWAgPD6dp0+oJrvUaPR91/4gHlzzI8ZzjTFg5gamxU2navTf7V//J4S3r6TnmMQyubtVSjxBCiBtfbGwsZrMZRVHKTAAKjjHMp02bxqRJk7jzzjvL7Ovfvz+//PILTzzxROm2iIgI6ta9+sR1LVu2ZOXKlfTu3ZshQ4Ywa9ascn8Q7e3tTUxMzBX3azSaq+4X4mamqiq5JisZ+cVkFJjJyDeTUVBMRr6jt3h6/oXHmYWOXuMW27V1DzdoNfi46fFzN1y0NuDnZiiz3RGQG0qDcoMML1FhdtXO6pOr+WH/D+w5twcABYUeET0Y03QMLYNaOrdAUWNotBqadgunfvtgdi8/QdzyE6Qcz2HuBzup2zqQjv3r4hMk7xOFqAoSogva1fFj9hOdGPX9No6k5nP/l44gPSbIw9mliZrElAtZiZCVDHkpkJ8Ceakl6xQoSC8JzIuu+1IZlggWZv4Hi6ol3LCPPuZ30f5hKf8J9G5lQ3WjJ7j6gpsfuPqVXbv5X3js4l0mgE9NTWX37t0A9OnTp1p7wXsZvJjcazIjlozgcNZh/rHmH0zuORnf0DCyzp7hyNZNNO3eu9rqEUIIcWPTarXEx8eXPr7YokWLyMrK4uGHHy7T4xxg0KBBTJkypUyIXl4tWrRg1apV9OrViyFDhjB79uwqv6NLiBuNqqoUmm1lwvCMgosC8r+E5ZkF1xaKG3WaCyG4u740DPd10+PrbsDXzVCy1pc+djdoZYiIKlZkLWLhsYX8dPAnknKTAEeHmnvr3suoJqOI8o5yboGixjK46OhwTzRNbwtn68LjHNp0lmO7zpG4J52mt4fT7q4oXDzkd64QlUlCdAFAwxAv5jzRmVHfb+N4egGDv9rED2Pa0zLCx9mliepkt0N2EqTsh7SDkHm8ZEmEwvSKncvoDa7ejrXe1dFrXGcEnQtoDY61zgAX346oquQUurFgU1eKVReCvLO4q+1RdNwDNvNFPdjNF3qymwvAnA/FeY42AJZCx1KQVsF/AAXcA8AjGDyCWJ7WEFU10ijYSGTONkhMLt2HizdU8ZuKWp61+KLXF4xZNoYtZ7fw5uY3ua9bLzbO+okDa1ZIiC6EEKJCvLy8Lrt9ypQp9O7d+5IAHRwh+gcffMDevXuvePzVNGvWrDRIHzx4MLNnz77hhsIRoqJUVSWnyMK5vGLO5Rc71iWPLxeMmywVHzrFw6jD38OAv7sBP3cjAR4G/D0uPPa7KBj3czPI3Fc1THpROjPiZzD7yGxyinMA8NR7MrThUEY0GkGAa8DfnEEIB3cfIz0fbESLnhFsmpfAiQOZ7F11ikObU2jTtzbNe9RCdxPNFSCEMymqer1Tf9z4cnNz8fb2Jicn55reHNxMMvKLGTN1O3tP5eBm0PLVyDZ0qx/o7LJEVVBVyEiAk1vh1A5I3Q+pB8FScOVj3PzBtw54hYFHCHgGl6xDHeGzq68jXL7GIVUKsouZN3Enuekm/MLcGfBc64p9em4thuJ8MOc5QvXiknC9OBeKsqAwAwozoSjzonUGFGY5jrlIApFMZxAabIznR/zJKXstnYsjTPcKL1nCwLuWY31+m3sgaK7/dtb1p9bz1KqnsKk2xtYegf2rjaCqPPzJt/iEhF73+YUQQlydyWQiMTGRqKgoXFxcnF2OqCD5+onKUlBsLQ3D0/8akOcVk55/ISyvaG9xF70Gf3djaTDu73HR49LtxpKg3HBTTaB5KzmceZifDv7EksQlWOyOO23DPcJ5sPGD9I/pj7ve3ckVihvdyfhMNs5NIONUPgCefi50uC+a+u2CUTRyZ4kQl1PeXFhCdCRE/6v8YitP/LSTDQnp6LUKEwe34L6W4c4uS1wvmxXO7IakdXBym2Mpyry0ndYIQQ0hqAkE1AO/KPCLBt8ocKm67w9TvoX5H+0i80wBXgEuDHyhDe4+xiq73iWsZse/R8E57LkpfLVoO2m5ZjqGWIn1Pw35aZCf6lgX5/z9+QA0evAKBa+ScN073PHYtzb4RDoWQ/n+UJ5/dD5vbHoDgMcPd6T42Fk6DhpGlyEjr/UVCyGEKCcJYW9s8vUTV1NstZGeb740CL+o9/j5bYVmW4XO7e2qJ9DTSKCHkYCStb+HgUAPI37ujp7jASWP3WTolJuWqqpsPLORHw/8yJazW0q3twxsyUNNHqJnRE+0lTinkxB2u8qRrSlsXXCc/KxiAAIjPekyKIbwBr5Ork6Imqe8ubAM5yIu4WHU8f3odjw3O45Fe8/yzMw4MgvMjOki47HdcLKS4dhKOLYKEtc5xiy/mM4FwlpBrXYQ2gJCmoFfXdBW748Gs8nKws/iyDxTgLu3gfuebVW9ATo4hpbxDAHPEOLOWEjLNePi4kK3h54Gt79MzGIuGSomLwVyT0PuGcg5XfK45HleCtgtkH3CsVyJW4AjTC8N1ms7Ft/a4B0Beseb/QH1BpBWmMbncZ/zp+c+bieAA2tX0vn+4SiV0NtdCCGEqGrr16+nb9++V9yfn59fjdWIm53ZaudcfjGpuSbSck2k5pY8zju/rZjUPBPZhRWYdwdw1WsJ8ioJxj2MjpD8/FLyPMDTMaSKUSfB6K2s2FbM4uOLmXZgGsdyjgGgUTTcUfsOHmz8IC0CWzi5QnGz0mgUGnYKJaZNEHtWnWTn0mTOncjjt//tpk4zfzoNjMEvVO56EKKiJEQXl2XQafh0WCv83Q38uDmZtxceJCPfzPN31pceEjWZqsK5wxC/EOIXQMresvtdvCGqG0R2hogOjtBc59xxSa1mG4sn7yUtOQ8Xdz33PtMKrwBXp9VjMplYuXIlAN26dcPtrwE6gMENDHUcQ9tcic1yUch+uiRkPwM5JyE7GbJOOHq0F6Y7ljO7Ln8ej+CSYD2Sx3xqk+LXkvm2PZh1dvLSz3Hy4D4im8of4EIIIWq+tm3bEhcX5+wyxA3OYrOTnl98IRS/KBi/OCjPLDCX+5x6rVIagAd6/iUc9yi7zd0ob6HF1WUUZTD78GxmHp5Jpslx56+73p2B9QYyotEIwj3kLm9RPXQGLW1i69Cocxg7Fieyf/0ZkvZlkHwgk8ZdQml/TzRuXjJPiRDlJcO5IMO5XI2qqny2KoGPlh8B4IH2Ebx7X1N0Wun5WqNkJsLeWbBvDmQcvbBd0UCt9hDTC+r2dPQ6r0G3CtpsdpZ+tY+kfRnoXbT0/0crgmo793vwzz//ZNOmTfj7+zNu3Dh0uip8o1SUXdJTPdmxzkq+0HM9O9kxYepfWIF/BAVQfLwWDU56EhFczJAuIY4hdy5ePEMrZTx2IYQQMhzIjU6+fjcGm10tCccdYXhaXsk611RmW0aBmfK+g9VrFYI8XQj2Ml5Ye7kQ7HVhW5CnER83vXQUEtftePZxph2cxsJjCzHbHR/ihLiHMLLRSAbWG4inwdPJFYpbXVZKAZvnHyNxTzoAeqOWVndG0rJ3JHpjzckJhKhuMpyLqBSKovB0r3r4exh4/bf9/LLtJJkFZj4Z1koms3E2Uy4c/A3ifoETmy5s1xogugc0ugca9HVM+FkD2e0qK6fGk7QvA61eQ78nmzs9QD937hxbtjjGKYyNja3aAB3A1cexhDa/dJ+qOiZDzUq6EKpnJaHLPM4Hmcd5OjgLTnqSdE7Pqfil1OIvva10Lo5x7P2iL4xr7xcN/jGOSU8lYBdCiAqTvic3Jvm6OZ/Zaic110RKromzOSZScoo4m+MIxx3PHb3Hbfbyfa10GoUgz/OB+JUDcl8Jx0UVU1WVrSlb+fHAj2w4vaF0e1P/poxqMoretXuj00jsImoG3xB37hrXnDNHs9k4N4G0pFy2LUzkwLrTtL83moadQtHI5KNCXJH0REd6opfX0v1nefqXOMw2Ox2i/Ph2VFu8XPTOLuvWk3oQtn3j6HluKSzZqEB0d2jxgCM4r8IJQCuDqqqsmXGYg+vPoNEo9B3XjDrNnBv2q6rK9OnTOXbsGPXr12f48OFOrefvZOal8Pk/HsY9TyGhlYkPmjbFM/skZB53hO5265UP1rk6wvSAGPCv55hA1j/GsdTw/ztCCOEMFouFhIQEwsLC8Pb2dnY5ooIyMjJIS0ujfv36aLXSCaSyFZqtjkA8pyQQzzVxNqeIlJxiUnKLSMkxkZ5fvqFVtBrHsCrnA/EgT+OFUNzLhWBPF4K8jPi5GSToEU5VZC1i8fHF/Bz/MwnZCQAoKPSM7MlDjR+iVVAr+QBH1GiqqpKwM40tvx0jN90EgH+4O50HxhDZxN/J1QlRvcqbC0uIjoToFbHpWDqPTdtJfrGVRqFe/Di2HUGecltslbPb4PAS2Po1JK2/sD2gviM4bz4UvG+MsfVUVWXTvGPELT8BCtz5cBPqtQ12dlkcOnSImTNnotVqefLJJ/H3r/l/OCyfPYW9c+eT6mviXP8Ivuz9JS46F7BZHWOvZx4vWRJL1sccj+1XmUDLI+TyAbtP7WqfcFYIIWoKVVU5ceIEFouFsLAwNHI3zw1BVVUKCwtJS0vDx8eH0NBQZ5d0Q1FVldwiK2dzi8qG5Dkmzuaef15ErukqH9xfxKDTEOrtQoiXCyHejiXUy4UQb1fHY28XAjyMaCUcFzVYSkEKvxz6hblH55JTnAOAq86V/jH9ebDRg0R4RTi5QiEqxmaxs2/tKXYsSaK40PHzPKKRL50HxRBQS4YgErcGCdErQEL0itl/OofRP2wnPb+YSD83fnq4PbX9ZWbnKmE1w55fYOPHjhAUHOOcN+wH7R+HOl3hBuvhsGNJIlsXJALQ48GGNO4S5uSKHD0Mv/jiC7KysujatSu9e/d2dknlkp+ZwddPjgZVZe7tp2nTsCv/6/6/q98yarM6hobJSID0o44x9NMTHOv81CsfpzU4hoc5H6oH1HN8iBNQ3zEkjRBC3OTMZjOJiYnY7XZnlyIqyMfHh5CQEOkV+hf5xVbOZhdxOtsRkp/JLuJM9vle5I7AvMhiK9e53A1aQn1cCfV2DKcSej4k93YhxMsRksvQKuJGpaoqu9N2Mz1+OqtOrMKmOr4vwj3CeaDhAwyoNwAvg+QI4sZmKrCw848k9q45hd2qggINO4bQ4d5oPHyl46S4uUmIXgESoldcckYBD07ZxonMQgI8DEwd056m4XJ7c6UxF8KuH2HTZ5B72rHN1RfajIG2Y8HnxuzhsGflSTb86pj4tMv9MbTsHenkihzWrVvHqlWr8PT0ZMKECRiNRmeXVG7z3nuTxLid7I/JZ0f9DO6tey/vdnkXjXINvSRNOSXhekmonn7U8TwjAaymKx/nEQKBDS4sAQ0gsKFjPH55syyEuInY7XbM5vINSyFqBr1ef0sO4WKx2UkpCcbP5phKgnJHSO4Iy8vfg9zXTU+I9+UD8vPbPGWIR3ETMtvM/JH4Bz/H/0x8Znzp9g4hHRjeaDi317odrebW+/kibm656UVs+e0YR3ekAaDTa2jRK4JWfWpjdJU7k8XNSUL0CpAQ/dqk5ZkY/f12Dp7NxcOo49uH2tKpbs0fAqNGs5ph51RY9wEUnHNs8wyFzk9B61Fg9HBqedfj4MYzrP7pEADt7o6i/d1RTq7IIScnh88//xyLxcKgQYNo1qyZs0uqkMObN7Do4/+i9/bghy6HsGLjwcYP8mLbFyuvt5fdDrmnLoTqpT3Yj174kOdyXP3+EqyXLF7hEq4LIYQQ10hVVTIKzKU9x89cHJDnOALytLxiyvMuz8tFR5iPK2Elvcgdj10I9XYtHXbFRS8hobi1nCs8x+wjs5l9eDaZpkwAjFojd0ffzfBGw6nvW9/JFQpR9VITc9k49yhnExzDFrm462l7Vx2adgtHq5dh7cTNRUL0CpAQ/drlmiw8Nm0HW45nYtBq+PSBlsQ2lfEmK8xuh/1zYfW/ISvJsc2nNnR9FlqOAN2N0zP6chJ2pvHnd/tRVWjRK4Iu98fUmNt558yZw/79+4mMjGTMmDE1pq7ysprNfP3EQ5gK8gkbcxf/l/olAE+1eorHmj9W9QWYch1h+rlDkH4YzpUsWUnAFX69GDwcw8AENoTAknVAffCtA9KbRwghxC3u/DArZ873JM8u4vTFYXmOCbP174cVMmg1hPq4EObtSqiPC+E+roR6O0Ly86G59CAX4oJ95/bx86GfWZa0DKvdcadGsFswwxoO4/569+Pj4uPcAoWoZqqqkrgnnS2/HSMrpRAArwAXOtwbTb22wSgyh4W4SUiIXgESol8fk8XGszPjWHogBY0C/+7fjOEdasYwHTeE42vgz9cgZZ/juUcw3P4ytH4ItDf+G5vk/Rks+XIvdptK4y6hdB/ZsMYE1ceOHeOnn35CURQee+yxG3bCsZXff0ncssU07HI7mb1D+GD7BwC81uE1hjYc6pyiLEWOXuvnQ/VzhxzrzGNgv8Lt41rjhbHWAxtCUEPH2i/6pvheEEIIIVRVJavQwumsIk5nF3Iqq4hTWY5xyU+XrHOKrjIBeAlFgUAPY2nPcUdQ7kp4aUDuir+7AY0EHEJclcVmYcWJFUyPn87ec3tLt7cKasWIRiPoFdnr6vMNCXELsNvsHNqcwraFxynIcQxrFxDhQecBMUQ09nNydUJcPwnRK0BC9Otns6u89tt+ftl2AoDn7qjPUz1rTm/jGin7BCz7F8QvcDw3ekGXp6Hjk2C4OSZqPX0ki4Wf7cFmsRPTNog7xjapMW/mLBYLX375JZmZmXTo0IG+ffs6u6RrlnLsKD+/+g90egOPfz2Nbw5/z7f7vkVB4YNuHxAbFevsEi+wWRyT5J4P19NLAvb0o1ced12jc0xmGlgSqgeWjLnuHwM6Q/XWL4QQQlyF3a6Snl/MyTLBuCMsPx+SF5r/frJOTxddSc9xl9LhVs4PsxLu40qwlwsGndxOL8S1Si1I5dcjvzL36FzSi9IB0Gv09I3qy/BGw2ni38TJFQpR81jMNvasPMnuZcmYTY7fZRGNfOk0IIbASE8nVyfEtStvLiwfqYpKodUo/N+ApgR6GPh0VQIfLT9CRn4xb95Tc0LTGsNSBBs/hQ3/A2sRKBpo9wh0fwXcbp5PcdOSc1n8xV5sFju1m/nTe0zjGvV/YcOGDWRmZuLp6UmPHj2cXc51CY6OISCiNuknkzm8aT1P9X6KnOIcZh+ZzSsbXsHT4EmX8C7OLtNBq78wNvrF7DbHB0vpRy70Wj+/NueXPD5U9hhFC/51L4Tq5xf/GNDLDPJCCCEqn9VmJyXXxOnL9CA/lVXImWwTZtvfD7US4GGklq8r4b6u1PIpWfu6Eu7jRpiPDLMiRFVQVZXtKduZeXgmq06swqY6QsBA10AG1x/M4AaDCXANcHKVQtRceoOWtn3r0OS2MHYuSWbf2lOcjM/iZPx26rULpuN90XgFuDq7TCGqjPRER3qiV7apGxN5e9FBVBX6twzjw8Et0GulpwwAx1bDomcvjHteuwv0/QBCmjqzqkqXcTqf+R/torjASnh9H+6e0AKdoeaMdZ2ens6XX36JzWZjyJAhNG7c2NklXbcdC+exdvr3hNZrwPB/T8Jmt/HP9f9kadJSXLQufHXHV7QJbuPsMitOVSHn1EWh+qEL4Xpx7uWPUTTgGwVBjS4K2Bs4honRyx91QgghrqzYauNMtumSHuSnSsLylFwTNvvV3z5pFAjxcikJxt0ILwnJw30cQXmYj6tM1ilENco357Pw+EJmHZrFsZxjpdvbBrdlaMOh9IrshV4jH1wJUVG56UVsXXCcI9tSAdBoFZreHk7bvnVw9ZQ7hsWNQ4ZzqQAJ0Svf73GneX72Hqx2ld6Ngvl8eKtb+81CYaZj3PO4nx3PPcPgzneh6SDHoJY3key0QuZP3EVhrpmgOl7c92xLDC4156YXVVX58ccfSUpKol69egwfPvymGHaoIDuLr8eNQrXbGT3pS/xrRWCxWXhq9VNsPL0Rd707397xLc0Cmzm71MqhqpB31hGop10UrJ+LB1POFQ5SHJOXng/Vz4fsAfVvmiGUhBBCXJ3Zai/tNX4ys4iTWefHJS/kdFYRaXnFf3sOvVYhzMcRijuCcbcyIXmIt4t0IBGiBkjISmDm4ZksPLaQQqtjUkRXnSv31r2XoQ2GUs+3npMrFOLmcO5EHpt/O8bJg5kA6F20tL6zNi16RaA33sI5kLhhSIheARKiV41Vh1IZN30XxVY7naL9+XZUWzyMNSdMrRaqCgd/gyUvQUEaoED7x6DX62C8+cYMy88yMe/DXeRlmvALc2fA861xca9ZvTr27NnD/Pnz0el0jB8/Hl9fX2eXVGnmf/AOx3duo91999Nt+GgATFYT41eOZ1vKNjwNnky5cwqN/Bs5t9CqpKqQn1p2SJi0Q45wvSjrysf5REJgo78MDVP/pvw+FUKIm5nNrpKaa+JkZiEns4pK1oWcKgnMU3JN/N27Hxe95rLh+PnhVoI8jTVqiDohxAUWu4VVJ1Yx89BMdqTuKN0e7R3N0AZDubfuvXgYPJxYoRA3r5PxmWyal0D6yXwA3LwNtL87ikadQ9HIh8uiBpMQvQIkRK86W45n8MiPO8gvttKiljdTx7TH1/0Wua2nMNMxdMvB3x3PAxrAvZ9BZAenllVVCnPN/PbRLrJSCvEOdGXAC61x9zY6u6wyCgsL+fzzzyksLKRXr17cdtttzi6pUh3duokFH/0f7r5+PDb5BzRax6f+hZZCHl/+OHHn4vA1+vJ9n++J8Y1xcrXVTFWhIP3SIWHS4qEw/crHeUdcOuZ6YH1w8a6+2oUQQpRSVZWMAnOZkPziXuVnsouw2K7+9sZFr6GWrxsRvq5E+LmVBORuJSG5K37uhpviLjUhbiVphWnMOTKHOUfmcK7oHABaRUvPyJ4MbTCU9iHt5ftaiGqg2lWO7kxl6+/HyU03AeAT7Ean/nWJahkg34eiRpIQvQIkRK9ae09lM+r7bWQVWqgf7MFPD3cg2Osmn/QvYSX89iTkp4BGB12fg24vgK5mhcqVpbjQwm//2036yXw8fI0MeKE1Xv41b+zp3377jbi4OAIDA3n88cfR6W6uOyNsVgtfPTEKU14uA//5FlGt2pbuyzPn8eifj3Ig4wABrgFMjZ1Kba/alz2ParNhLzKhmoqwm0yoRUWoFguqzQ5226Vrux1Fq0PRaVF0OtDpSx8rOh2KXo/G3R2NmxuKoQZ+iFaQfvkx1/NTr3yMZxgENbwwNMz5tevNc2eDEEI4S67J4gjJM88Pu+IIzM+H5UUW21WP12kcw61E+LkS4etWGpSfXwd6GOVNvBA3AbtqZ+vZrfx65FdWn1iNVbUC4O/iz/317+f++vcT4h7i5CqFuDXZLHb2rzvNjiVJmAosAIREe9FpYAxhMT7OLU6Iv5AQvQIkRK96R1PzGDllK6m5xUT6ufHzIx2I8HNzdlmVz1IEy9+EbV87ngfUh4HfQFgr59ZVhcwmKws/jSPleC6unnoGvtAGn+Ca97VNSEhg+vTpAIwdO5bIyEgnV1Q1Vk39mt1/LKR+xy70HfkI1vR0rOnp2LKyyM9IZf6unzBlpRNgdaGzRwsMhWZsuTnY8wuwFxU5AnOzucrqU/R6NG5ujlDd3Q2NuwdaX1+0fr7ofH0dj3390Pr6oPP3RxccjC4gAEXrhLH0CjMvCtcvCtnzzl75GI+QC6F60EW91938qq9uIYSo4UwW2yVjkp8fduVkZhE5RZarHq8oEOzpUhqS1/Jz9Cqv5etGhJ8rIV4u6OS2cSFuWhlFGfx+7HfmHJnDybyTpdtbB7VmWMNh9I7sjV5bs4aUFOJWVVxkZfefyexZcRKrxQ5AneYBdOpfF78wmZdK1AwSoleAhOjV42RmISOnbCU5o5AgTyPTH+lA/eCbaLzhs3th7iOQftjxvN2jcMc7YKh5gXJlsZhtLPpsD2eOZmN009H/uVYE1Kp5X9Pi4mK++OILcnJy6NChA3379nV2SdfFXlSE5cwZx3L6DJaUs1jPncN67hzp6Wms1lvR2FV6HkzCYLNf+4UUBcXVFY3RiKLXg1aLotFcutZoUG1WsNpQrdbSBYvF8dhsRrVcPRC5Kq0WXVAQ+pAQdCHB6IND0IeFoo+IwFC7DoZa4dXbw70oG9KPXDqpae6pKx/jHnjRcDDnQ/ZG4B5QbWULIUR1sdtVzuUXk5xRyInMkiWjgBMlPcrPlWPyTj93gyMY93Mr6U3uWjoES7ivK0adTFQmxK1EVVW2p2zn1yO/suLECqx2R69zD70Hd0ffzeAGg6nvW9/JVQohrqQgu5htixOJ33gW1a6iKNCwcyjt747Cw/cmH6lA1HgSoleAhOjVJy3XxINTtnE4NQ8fNz0/jmlPiwgfZ5d1fVQVdkyBpa+AzQwewXDfF1Cvt7Mrq1JWi40lX+7j5MFM9C5a7numFcFRNfP7Z/HixWzfvh0fHx+efPJJDDVxSJGLqHY71pQUzElJFCclYTl5qiQwP43lzBlsmZlXPX59/VrkuRppcjqdaPToAgLQ+vqg9fZB6+WFyV3PnLNLOKXk4OYXxFO3v4KvXzgaN1c0rq4oLi6OtbHybndXzWbsRUXYCwqwFxaWrm25ediys7FlZWHLysSalYUtKxtbZibWjAys586B7eq37aPVog8Lw1C7tmOpUwdjvRiMDRqgq86JY025F8L10oD9MOScuPIxbv4XBesXTWzqEeToaimEEDWUyWLjZOaFkDw5o7DM82Lr1T/E9TDqSodYifC9MNzK+bD8lpuMXghxWVmmLBYcW8CcI3NIyk0q3d4soBmD6w+mT50+uOlv3k5LQtxsslIK2PLbcY7HlcxdoNfQvEctWvepjYt72TtIVFUFu92RudjtqHDhuaI4On0pCpR07Cp9LkQFSYheARKiV6/sQjOjftjOnpPZuBu0fDeqHZ3q+ju7rGtTnAcLnoYD8xzP6/eF+yaD+w36esrJZrWz9Jv9JO1NR2fUcu9TLQitoeOaJScn88MPPwDw0EMPER0d7eSKLrBmZWFOTMScmIQ56aLlxAnU4qv30tN4eKAPCytZQtEFBaELCEAXGMj+hHg2/rmI4OgYRr738WWPP5N/htFLR3O24Cx1vevyXZ/vCHCteb2iVZvNMSRNSgqWlFSsKWexpKRiOXMGc3Ky49+qsPCKx2sDA3Cp3wBjgwYY69fDpUEDjDExjp711aU4v2y4fn5omKxk4Aq/gl18HD3VLx5vPbAheIZKuC6EqBaqqpKeb3b0Hi8JyR0BuaNHeWru1X9PaTUKYT4uRPq5EennXrJ2Kx2CxcdNL290hRCXpaoqO1J3OHqdJ6/AYnfc0eiud6dfVD8GNxhMQ7+GTq5SiJpJVVWwWrEXm1HNxY67gosda8e2ku3FxdjNZtSrbSsuRrWYUS0X3W1ss154brOCteS57fxdyZYydyhz0Z3Kqs3m6CClqmS5R5JQ6y5yvBzvz3XWIiJPrSTi1Gq0tmJHUH4tzofqfwnYLxu263UoOj2KXl86l9fF83pdaT96HRqDAcXFFY2LEcXocmHt6oJidEFxMaJxcUExGks7qGlcXBwd1krmCpO/g2oOCdErQEL06pdfbOWxaTvYdCwDg07DlyNa06tRsLPLqpiUfTB7FGQec0we2vst6DThpg+47DY7f353gGO7z6HVa7h7QgtqNaiZkylaLBa+/PJLMjMzad26Nffee69T6rAXFlJ87BjFR45SfOQIxUePYjp6BNu59CsfpNdjiIjAUKcOhogI9OHh6MNLQvPwcLRX+VlVmJvD1088hN1mY9SHnxMQWeey7U7mnmT0stGkFabV6CD9alRVxZp2DnNyEubkZCzJyRQnJlF85AiWkycve4xiMODSuDEuzZvh2rwFrs2boY+IqP4/YsyFJeH6XyY1zUzkiuG60bskUP/LuOte4Tf9zx4hROUrtto4nVVEcklQfiKj8MLjzEIKzVe/E8jTqCPS3600IL/4cZiPK3oZl1wIUQE5xTn8nvA7c47OITEnsXR7Y//GDK4/mLui7pJe5+KGp1qtF+7OLTKhmoocd+yWeVyEajJhLyzCbipCLTJhN5mwFxVe9rFacozdZEI1ma49gK5mKpDh35RjUfdS4BEOgMGcS53kpYSd2YBG/Zs7km9kej3a83OFeXiUXbu7oS19fGGf1tsbrY+3Y+3tjcbT0zG8qrhuEqJXgITozmGy2Hjql90sP5iKTqMwaUgL7msZ7uyyymfXNFjyIlhNjvBq8FSIaO/sqqqc3a6y4oeDHN2eikancNe45tRuUnN73S9fvpyNGzfi6enJ+PHjcXGp2rHWHIFuGqYDBzDtP4DpyGGKjxx1hLlX+FGrCwvFWCfKEZbXqYMhyrHWh4Y6PuW+Rr9P/DcJ27fQ9p6B3D5y7BXbncg9wdhlY0ktTCXaO5opfabccEH6ldjyCzAnHMV05AjFh49QfOQIpsOHsefmXtJW6+ODS/NmuLVujVu7drg0a4bGWcP+WIogI+Gi8dbPh+vHQb3C8AgGTwisX3ZImKCG4FXL0dtCCHFLUlWV7EILySWhuKNHecnY5JlFnMkpuur7bEWBMG9XIvxcifRzo7a/OxF+btQuCcqlN7kQ4nrZVTvbU7Yz7+g8ViSvwGx3THDvqnPlrqi7GNxgME38mzi5SnErU222C8NRXmaxFRSgFhZiK7P9yu1Vs7l6X4Be7+g1bTA4hus0GkqeG6+yzdHeMTeWAUWvA11Jr2yt1vFcqy3ppa1D0Wov7NdpHe9jtTrHPt1FbXVaR6/wkt7gjvcpCiiQcCCfHavTyMty3Hni6Wugbe8QYlr6odVpy7Q//6eHqqoXhnq5eNiX849Ln6uO91F/bXe+F73FUtKD/vzjkvX5HvcWc9k5vywWR89+U7Hjw45ik+MDjeK/PjehmoovrE0muJ65wv5KUdB4eZWG6mUWH2+0Pj5o/fzR+fuh9fdH5++P1sfH8fUSZUiIXgESojuPxWbnpTl7mb/7NIoC79zXlAc71nZ2WVdmNcPSl2HH947n9e6EAV+Dm59z66oGql1l9fRDxG86i0ajEPt4U6JaBDq7rCs6ceIEP/zwA6qqMmzYMBo2rNxbPlVVxZqSgunAAYoOHHAE5wfjsaVfvne5NiDAMU53vXq41K+PsV49jDExaNyrZkbyhB1b+f3Dd3Hz9uGxL6aivUogfzL3JGP/HEtKwf+z997hcVzn4fWZ2dle0DsJggQ7KTaxSKQ61btEybaqbbnJTlxiOXFJ8rOdfIljO3Ecxz22XGRJVhdF9UZ1Suy9kwALettep3x/zGKxqARIgADIe55nNHfutLsUsJg58877NjI5ZzK/v/L3FLnG7v/bU8EwDFJHjhDbsYPYtu3EdmwnsXtPr8Knkt2Oc8ECXEuW4FqyBOf8ecgj/BDmhKgJU673LGjafgjSxbV6YXWn5frM7oVNcycJuS4QnCFoukG9P8aRtihH2iMc7VbMM0oo0c/3QxqXzdIVSd4jmlwU8BQIBCNFY6SR1QdX88zBZ6gL12X6Z+bPzESde2yeURyh4EzA0DRTdAdD6OEQeiiEFkrP031aKIweCqbnWevDIfRwBCMWG5nBWa3ITidyZz2qdFtyOpCdru5tZzoNSKbtRHam98tuO51d8tueFuLj6JpfU3X2vF/PhhdqiQbNhw355W7Ou2kKVfMKz4gH94aqdtUKC4fNn8/0XA9nP3DJXhdN/8wG0QIBtEBgwJSmAyLLWPLyTKFekI+SX4BSWIAlvwBbVRW+q64c3g88ThASfQgIiT666LrB99bs4s/rjgDwD1fP4EuXTB3lUfVBuBkevxeOrgMkuOwf4YIHzgoRZRgG7/x1PzvfNh92XPnZuUw9t3i0h9UviUSCX//613R0dDB//nxuueWWUz6mFg4T376d2LZtRLduJb5jZ98FPi0W7NXVOObMwTFrFvbp07FPn4aSf3oftGiqym+/9CmiAT83/8P/o/rcgd+UOBY6xn2vmCK9ylfFg1c9eMaK9J4YySTxffuIbd1GdONGohs29Pp/K1mtOBcuxH3BBXguvAD7jBljFcbwGAABAABJREFU54JUTZoiPTvfevNeU7jr/UQ6KM4suT6jS7DnVYEshJlAMNZIqjrHO8y85LVtEVOYp+fHOqKktIEv50t8diblp6PICzpzk5vtArfIySkQCE4PKS3F2mNreebgM3xQ/wF6+g07j9XDNZOv4dZptzKnYI74ThJkMAwDIxbLiEMtEEQL+NECAfRg0FwOBdF7CfAwejCIHokM32AUJZNqQ06n4bC43WafKz3vd3JlbefC4nYjjdZbr+OAVEJj+9pjbHn1KImoGQxQOsXHeTdXUzF9bKaSPd0YyWQ3qa75A2jBAHr2sr8Dta0dta0Vra0dze8fMNWPc9Eiqh55+PR9iDGEkOhDQEj00ccwDP7r1f38fO1BAO6/uJpvXj1j7FxA1W2Gv94FoXqw+2DV72D6VaM9qtOCYRi8/9RBtr1+DCS4/FOzmbGsdLSHNSDPP/88GzduxOfz8aUvfWnIaVwMwyBZU0ts69bMlDhwoPcfHIsF+9SppjCfMxvnnDnYZ8487RHLhqqTaomhtkTR/Ak0fwLVn6Cj5jiJQBinw4vT6QUZU/wqEhaXFdljxZJrx1riwlrspjnHz2fWfo6GSANVvip+f9XvKXaN3YclI4VhGCQPHya6YQPR9RuIbtiA2tLSbRtLYSGeFctxX3AB7uXLUQrGYFojLWXmV89OCdOyz8zDrvXzGqnFDoXTTcFeOCM9nw4FU0Gxn97xCwRnGbGkxtH2TkneKcrN5Xp/DH2AK3abIpvpVnpEkk8qcDEhz4XDKh6OCQSC0eNgx0GePvg0zx96no5ER6b/3JJzuXXarVwx6QqcinMURygYaQxNQwsGuwRfMGhKvkAALeA3hbg/a11GmgeGJf2FZLOZaS88HmSvF4vXi+z1Ins9WLw+c+7xIvvS6zxeLD5vVo5qtygEOQrEIym2vHqU7W8eQ02ZD90qZ+dz3s3VFFV6R3l04w9DVdE6OlDb21FbW9Ha21Fb29Da21Bb27BNqqTw/vtHe5ijgpDoQ0BI9LHDb985xL+/uBeAu5ZV8q83zUWWR/kP1dZHYc1XQUuYMukTj0DhtNEd02nkw9WH2PSS+ZbApffMZPaK8lEe0cAcOHCAhx82n57ee++9TJky5YT7GKpKfM+ejDCNbdliXrD1wFpejnPBAnOaPw/7jBmnX5indJJ1IZJHgiTrI6QaI6gtMQa0K4PFIkG5jWe0V1jjXIut0MXvr/w9Je5xVvR3mDEMg2RtLZH3PyDy3ntE1q/v9fqcY948vJddhnflZdimTh3bF9iaCh213cV6yx5oPWDWeegLSTZTwBTNML8HC6en29PAKaJBBILBEoynONojmrw2PW8KJgbc12WzMKnATVWBKcqrCtxMSs9LfY7Rv14SCASCLMLJMC/XvswzB55he+v2TH+Rs4ibpt7EzVNvZpJvDKfxFPSLnkyidfjR/B1oHeakpueaP5Dp0zo6MkJcD4VO7aSK0pXruTMHdG4OsteXlt3ezFz2erD4fGYhRp/PlOUi6ntcEwkk2PhiLbvfrUdP3/dOPbeYZTdOIbdEFBsWnDpCog8BIdHHFo+uP8p3ntmBYcBNC8r5z9vnY7WMQtoEXYPX/h+s+7m5PONaM/+54+z5Gdn4Yg0fPVcDwEWfmM45l0wY5RENTDQa5Ze//CXhcJhly5ZxzTXX9LmdkUoR372byPr1pjTftLnXq36SzYZj7ty0NJ+Pc8ECrMWnPypbT2okDgdIHPaTrA2SrAtDH6/tSw4L1mIXljwHllw7Sq4d2WPjzYd/Q0t9LYtuuJlZKy4G3cBQdfSIihZOorbHUZuipBrCaIHu0cm7nAf5qGwPn/n4V6nIGSdFf08DejJJbPMWIu+/R/jd90js3dttvXVSJd7LVuJdeRnOhQvHT+EWXQP/ETMVTOs+U6p3Rq4nehdjzeAu7hLq2dHrvgoYyw8TBIIRwDAMOqKpPqPJj7RFaY8MXEzM51CYXOimMi3Ls6V5kcc+th/QCQSCsx7DMNjSvIWnDzzNq0deJaaauaQVSeGiCRdx67RbWVGxAkXuv1aP4PRiqKoZ8d1Nhvu7JLi/d9+ppEiR3W4sOTnI2QUQfT6zCGJOTrpIYm56XVfBRMnlEn8DBQRaoqxfU8P+DU1ggCRLzDq/lCXXT8aTN8r1qwTjGiHRh4CQ6GOPNdvq+bvHtqLqBpfPKubndy46va8iJ8Lw9Odg34vm8sXfhIu/dVbkP+9ky6tH+eBpM73O8lVTWXhF5SiP6MQ88cQT7Nq1i8LCQr7whS9gtVoB8/XB+K5dRNZ9aKbo2Ly5VySx7PXiOvdcs5Dk4nNxzJo1KnnqDMNAbYoS399BfH8HiZpAL2kue6zYq3xYJ3ixlrqxlrqx5PT9euGWl9fw5h9+Q3FVNff88H8GPK/WHid+0E9sVxuJAx2QPm2LrYP8K6qpXDEbSUQ69iLV3Ex47VuE3nyD6LoPMZJdksySl4fn0kvxXXUl7vPPH5+5Dw0Dwk1dQr1zatlvprjqD6vbFOs9o9fzJoMyDv8dBII0hmHQHEpQ2xrhSHv3aPIjbVFC8YELeRZ6bEzKiiKflCXLc13id0MgEIw/6sJ1PHfoOdYcWsOx0LFMf5Wvilun3coN1TdQ6CwcxRGePRiaZkrxtjbU9KS1taO2d87b0draTGHu96P38fbtoEgXJ7Tk5aLk5qXbeVhyczP9ltxOGZ5rSnKvFyl9fyYQnAqtx8N8tPoQtTvaALAoMudcUsG5V1fh8IifMcHQERJ9CAiJPjZZu7eZ+/+yiYSqc/6UAv7vk4vx2E9D1EKwHh75ODRuN/MD3/IrmLtq5M87htj6+lHef9IU6MtunMziayeP8ohOzPbt23n66aeRJInPfvazFBkQ+eB9MwXHhx/2ukCUc3JwLV6Ma8li3EuXmoUiRyli2NANkrVBYrtaie1qQ/N3f6XfkmvHMS0PW5UPe5UPS75j0JEYsVCQ39x/L5qqcs8Pf0Zx1YnT2wBogQRN6w7hf/8ovpTb7CuzUnbbXGwVnqF9wLMIPRIh/N77hN54nfDb73T7uZNzcvBevhLfNdfiPm8ZknIGRGElQl1CPSPX90H7YTC0vveRFVOkZ0evF04322fRmz6CsY2uG9QHYn0W8jzSFiWW6ufnO01ZjiMjySt7yPLTci0jEAgEI0wkFeHV2ld57tBzbGzamOl3Kk6uqrqKW6fdyoKiBSJ6eBjQo9G0DG8zcxlni/HWtowYV9vb0To6QNeHfA5LTk6XCO+U4xkx3rtP9nrNWksCwSjScNDPumcP0XDQvOeyOiwsvKKS+SsnYnOI6y3B4BESfQgIiT52+ehwG5/500bCCZX5E3L446eXkucewSithu2mQA/Vg6sQ7ngUJi4dufONQbIF+pLrqlh6w+Ck62jS3t7Or3/9a5LJJIsliVkfrCN55Ei3bWSvF/d5y3AtWYpr2VLs06aN6oWfoerED/mJ72wjtrsNPdJVMEeyytin5GCflodjeh5KkfOUbkDW/OQH7P/ofRZdexOXfvJzQ9q3LdjKYw//H5cfOxeX7sSQIfeqyXgurBBR6SfASKWIbtpM6LXXCL76ClpLa2adJS8P7xVX4Lv2GlxLloyflC+DRU1CR02XVM9EsB+AZLj//bzlfUeve0pEahjBsKPrBk2hODWtEWpbTVluts0I86Tav4SQJZiQ50qL8U5JbkaTT8wXhTwFAsGZiaZrfNT4Ec8deo43jrxBXDNrqUhILC1byk3VN7GyciUuq8hRPBCGYaBHIqjNLaitLWitraitragtrb0ixtX2doxYbMjnsOTmYikoQCkowFKQj5KfNc/PQ8nP7xLmPt+ZEdwhOCsxDIOju9pZ9+wh2o6b9xkOt5VFV01i7iUVWG3imkxwYoREHwJCoo9tth/388kH19MRTTG9xMNfPrOMYt8I5Lva9zI8eR+kImZk5F2PQ17V8J9nDDOeBLphGCT2HyCwdi1P1NbQ6nBQ1NzMJWvfQjYMsFhwLliAe/n5eFaswDF37qhfHBqGQfJoiOiWZmLbW9CjXa/8S04F56x8nHMLcUzLRRpGAXN48wae+eH3cXp9fOHXf8KiDO0Vt2AyyDdf+AaX7D6HFaEFADhm5pN/x0xku7goGQyGphHduIngSy8SevU1tPb2zDpLYSG+q68m56YbzZ/TM1kWG4b5tk/PnOut+82UMf1hz0lHrU9P51xPS/a8KrCImz5B/xiGQUs4QW1rlJrWMDWtUWpbI9S2mVM81b8ot1okJuZ3L+DZGU1ekevEpogIPIFAcHZw2H+Y1YdW8/zh52mONmf6q3xV3DT1Jq6fcj2l7tJRHOHYwEilzBQqLa2orS2oLS2ora2mJG9pzSyrra0Y8X6KufeD5HCkhXiBKcCzxXhBIUpBfte6vLxRv+8RCE43hm5wcFMz65+vwd9kpm51+Wyce80k5lxQgcUqrtsE/SMk+hAQEn3sc6ApxN2//4imYILKfBcPf3YZE/OHMcLhw1/DK98GQ4cpl8DtfwJn7vAdfxyQLdAXX1fFsjEo0PV4nOhHHxF66y3Cb7+NWt/Atvnz2DtrFrZEgut37qJ4yRLcK5bjWrYMi2dspB1JNUeJbm0murUFrb3rgln2WHHOLcQ5pwD7lBykESqgq2sav/3Sp4j4O7jpG//E1CXnDfkY0VSUr7zxFXL3Wvhi08exG1asZW4KPzUHS459BEZ95mKoKtH16wm+9JIp1LNSvtimTCHnxhvJufEGrOXlozjKUSDWAa0HTcHekpbsrfugo9b8bu4Liw3yq3tHrxdOA5v7tA5fMHoYhkF7JJmOJDcleU2bGVFe2xohkuw/9YpFlpiY56Sq0E1VgZvJhW6qCt1MLnBTnutAGY3C5gKBQDAG8Mf9vFT7Es8dfI6dbTsz/T6bj2smX8ON1TdyTuE5Z/bDf9JR48FgV6R4RoSnI8hbWtLSvNVMpTIEZI8HpbDQnIqLsOQXoBQWZCLITVluzkVhTYFgcOiazr6PmtjwQg2hNvPe25NnZ/G1VcxcXoZFXNsJ+kBI9CEgJPr44Fh7lLt+9xFH26OU+Oz85TPLmFbiPbWD6jq89s+w7ufm8qJPwnX/BZazqxjFtjeO8d4TBwBYfG0VS2+YPGYu0lKNjYTfepvw228TWbeuW9RG48QJvL1iBQCrLr+Ccy5YMVrD7IUeTRHd1kJkUxOp413pKySbjHNuIa6Fxdirc09bSpS3//IgG9c8TfXi87j57//ppI6R0BI88NYDNB44wneP3U+e5sNS4KDo8/NQhEg/KYxUisgHHxB4bg2hN97o9vPtWrqUnJtuwnvVlWPmgdCooCag7VAf0esHQB3g9eaciV3R6wVTu+S6t0ykhhmn+KNJM91KlizvTMEyUDFPWYKKPGeXJM+S5RPynFjFzZRAIBAAEFfjvHX8LV48/CLv1r2LqpvfrYqkcMGEC7ix+kYunnAxNsuZUQRZC4dRm5tRm5pQm5tJNTejNjWbfZ1Ta2u3ovEnRFFMAV5YiFJUhFJUiKVTlBcVoRSafUphIbLTOXIfTiA4y9FUnT0fNLDxxVoi6ZpjvkIHS6+fzLSlpcgiNakgCyHRh4CQ6OOH5mCcu3//EfubwuS5rPzpvqXMm5B7cgdTk7D6S7DjCXP58u/Diq+edXJlrAl0wzBIHjpE6LXXCL32OvHdu7utV0pL8VxyMdLy5Ty0bRuRSIQlS5Zw3XXXjdKIuzAMg2RNkMiGRqI7WqEzn64Mjml5uBYW45hdgDwKednajh/ljw98Cdli4Qu/+hOunNyTOk5KT/Htd7/Nlv0b+I+jX6UsVYRS4KDoC/Ow+IRIPxW0cJjQK68SWL2a6Pr1mX7J4cC7ciU5N92Ie/ly8XpuJ7oOgWNdEeuZAqf7INrW/342T3ep3tkuqAaruJkdbULxFLWtUQ63hrvnKW+L4I+m+t1PkqA8x0lVoaubLK8qdDMx34ldEamnBAKBoC9UXWV9w3peqHmB14+8TlSNZtbNyp/FjdU3cs3kayhwFoziKIeGnkx2F+FNTaYgb27JCHO1uRk9Gj3xwdLIPl9X1HhRUXputk1Jnhbmubmi4KZAMIZQUxq73qln08u1xELmtWReqYsl109m6qJiUedLAAiJPiSERB9fdESSfOqPG9h2zI/HrvD7Ty5m2ZQhXtQlQvDY3XD4LZAVuOmXMP/jIzLescxYEeiGYRDfuSstzl8jWVPTtVKScM6fj+eSS/Bcegn26dMxDIOHH36YQ4cOUVxczOc+9zms1tF7e0ALJ4lubiayoRG1pSsyVilx4V5SimtBERbP6EfsPPyPX6fx4H4uufeznHvdzSd9HE3X+NcP/5V3dr/Jj478HaWpQqxlboruny9ypA8Tqbo6AmueJ7B6dbffB6W4mJxbbiF31a3YKitHcYRjnEhbV671tgNp0X4gnRqmv9QeEuROhIJ09Hphp1yfBt7Ss+4B60gSSahmTvIexTxr2yK0hgeO9ivx2btFkne2JxWIYp4CgUAwWAzDYEfrDl6seZGXa16mLd718LncXc61U67l2snXMi1v2iiOsjeGppk5x5tbUJu7ZHiqqSndZwpzze8f9DFljwelpASluAhrcTFKcQlKcTFKSXE6krwYpagQ2S6CRQSC8UwqobHjreNsfuUIiXRtsoIKD8tunEzVvMIx8ya+YHQQEn0ICIk+/ggnVD73p42sO9yGXZH59d3ncunM4sHtHGqCh2+Dxu1gdcPHH4KpK0d2wGOQbIF+7jWTWHbjlNP6h8PQNKKbNhF6/XVCr72O2tCQWSdZrbiWn4/viivwXHopSkH3hyRr167l7bffRlEUPv/5z1NcPMj/98OIYRgkDgeIfNhAbHcbaOZXqWSTcc4rwr20FNtE75j6Y7z11Rd54/e/pLCyint/9L+nNDbDMPj51p+zeuNT/Hft35On+bDPyqPwnjniaf4wYj5g2kng2dUEX3ih202ha8kScm9bhffKK8XrwINFTUJHTVqq74e2g12pYeL+/vezeU2p3lOw51eDdQQKXZ8BJFSNY+1RDrWYkrympStPeXMoMeC+hR47k9MR5VWF2VHlLlw28SaGQCAQnCw1gRpeOPwCL9a8yLHQsUx/rj2Xq6qu4rop17GgaMHoBNWkUqgtLaQam1AbG8x5UyOphkZSTY2ojU2ora2g9V/nIhvJZjNleFqIWzvbnZI8Lc1lt6ihIhCcTSRiKtveOMa214+SjJvfJ8WTvCy7cQoTZ+ePqft3welDSPQhICT6+CSe0vjbRzbz+p5mFFnivz++gBvmn6AQX9sheOgW8B8BdxHc+ThULDo9Ax5DdBPoV09i2U2nR6B3ivPgiy+aBRXb2zPrJJcLz0UX4b3icjwXX9xvDugDBw7w8MMPA3DLLbcwf/78ER93NnpCI7qlifAHDajNXa+AWid6cS8pwTW/CNk+NiVPPBzm1/ffg5ZKcfd//A8lk6tP+ZiP7n2Up996lB8e+Ro2w4rrknLyrz714wp6oyeThN98E/+TTxF5/31I//mWPR58119H7qpVOObOFRd+J4NhQKQ1K2o9S7APVNgUCXIre+ReT7c9JWd89LquGzQE46Ygbw1zuDXC4bQ0P94RRR/gCjPfbaOqwJUp4tkpyycVuPA6zq66JAKBQDCSNEebeanmJV6seZHdbV1pEp2Kk0snXsp1U67j/PLzscoj991rpFJdEeON3cV4qrERtbHRFOR6f39vs5BlM+d4cXFXBHlJSZcwLzb7LLm54ppIIBD0SzycYstrR9m+9hhq0vzuKZuaw7Ibp1AxPW+URyc43QiJPgSERB+/pDSdbzyxjdVb65Ek+PdbzuGOpf2kOKjbBA/fbubKzZsM9zwN+VNO74DHAJtfOcK6Zw4BsOjqSZw3wgLdMAzi27cTfPFFgi+9jNrcnFkn5+TgvfRSvFdegXv5cmTHwBGdHR0d/OY3vyEej7N48WKuv/76ERt3T1ItUSLrGohsasJImE+sJZuMa2Ex7vPKsZWNjyiW53/6Q/ate5eFV9/AZZ/+wrAc85XaV3hpzZN8o+5edAy8n5pK3swTPNASnBKp+nr8zz5L4KmnSdXVZfrt06eTe9sqfDfcgJInLv6GBTUB7TVpwb4fWg92teOB/vez+7Kk+rSuKPb8KeMuet0fTXI4HU1+uDVMTVqW17ZFiKf6Fx4eu8KUoq5I8ilFXXnKc5xClAsEAsFI0Rpr5Y0jb/DKkVfY2LgRA/OWX5EUllcs59rJ13LpxEtxWV2nfK6MIG9szAhxM5q8sbsgH4x2sFrNiPHSUlOMl5ViLSlFKS3BWlpqSvOCAlEfRiAQDBvRYJLNrxxh59t1aOmaZhNm5rHsximUTskZ5dEJThdCog8BIdHHN7pu8M+rd/LwR0cB+M61M/n8RT0iYQ+8Do/fA6kolC2Au54ET9HpH+woYhgGG16oZcPzZn7lJddVseT6kcmBbhgGiX37CL7wIsEXX+wm+WSfD+8Vl+O75lrcy5YiDTKXeSqV4sEHH6ShoYHy8nLuu+8+lBG+gDZ0g/jedsLr6kkc8Gf6lUIn7vPLcJ9bguwYXxfxtVs38dQPvovD4+ULv/4zyjDlkv+o4SP2PPQul7cvI2ANU/SVBRQXlQ3LsQX9Y+g60Y8+wv/kU4Reew0jaeaTlqxWPJevJPfWVbiXn49kEbmih53O6PWeeddb95tvOw0UvZ43KS3Vewh2T/GoRa/HUxpH2qLUtIa7UrCkp/ZI/3nKrRaJynwXkws9TClyMyUdUT65yE2Rxy6iAAUCgeA00R5v542jb/BKzStsaNqAnvV3aGHxQq6bfB1XVF1BviN/0Mc0dB21tRW1vp5UQwOp+gZSDQ1mmpXGJlKNDWitbYMX5CUlphAvKcVaVoqSEeRlWEtLsBQUiKKcAoFgVAh3JNj0ci2736tHT6dqrZxTwJLrqyidLGT6mc4ZIdG/973v8f3vf79b34wZM9i7dy8A8XicBx54gL/+9a8kEgmuuuoqfvnLX1JSUjKk8wiJPv4xDIMfvbKPX71lRlh/+bKpfP2K6ebN+/bH4dkvgq5C9WXwsYfA3neqkDMVwzD48NlDbH7FfNBw3s1TOPfqqmE/T6KmJiPOk4cPZ/ollwvvypX4rr0Gz4oVSLahF9lcs2YNmzZtwul08oUvfIHc3NxhHHl39LhKZH0j4XX1aB3p3L0SOGbm4zm/HPvU3HGb91vXNf7vS58m3NHODV//NtOXrRi2Y+9p3E3w13uoiBfzYf5O5n1uJdPzpg/b8QUDowUCBJ5/Hv9TT5HYvSfTr5SXkXvLreTeegvWiopRHOFZRGf0ei/BfgASJ4hez0j1LMFeUA3KqRc003SDen8sHUmejihPR5XXB2IDOpCyHIcpxwvdTCnyZGT5hDwnikUID4FAIBgN/HG/Kc5rX2F943q0rOLZcwvmclXVVVxZdSXlnr7fENRjMTO1Sn09qYZ61E5R3inNGxshlTrhOCSrtSt6vLRLkFtLS1A6BXl+vhDkAoFgzBNsjbHhxVr2fdiIoXfK9HyWXDdZRKafwZwxEv3JJ5/k9ddfz/QpikJhYSEAX/ziF3nhhRf44x//SE5ODn/7t3+LLMu8//77QzqPkOhnDr986yA/enkfAJ88fxLfLV2H/NI3zJXzPg43/hyUoQvc8YxhGLz3xAG2v3kcgAtun8b8lROH7fia30/wpZcIPLua2LZtmX7JZsNzySX4rr0Wz8UXnVLhw82bN/Pcc88BcPfddzN16tRTHndfqP4E4ffriKxvzKRskV0KriWleJaVoeSPrxQM/fHuI39k/eonmbJoCbd887vDeuxj+w+iP1iHBZkfVD3IXTd8juUVy4f1HIITE9+9G/9TTxNYswY9GDQ7JQn3+eeTe9sqPJdfjnwSD7MEp4hhQKSl78KmA0WvSzLkTOxKD1Mw1RTrBVPBNwGypIRhGHREUxxuMXOU12SlYalti5JU+0+/4nUoTCnyUJ0VTd4pzkVBT4FAIBgbBBIB3jz6Jq/UvsKHDR92E+ezC2ab4nzSlVR4KtDa2kwhno4gTzXUk6qvR00vax0dJz6hLKOUlGAtK8NaXm4K8tJSM71Kem7JyxOCXCAQnFEEWqJsfOmIkOlnCWeMRH/22WfZunVrr3WBQICioiIeeeQRbrvtNgD27t3LrFmzWLduHeedd16/x00kEiQSicxyMBhk4sSJQqKfITz04RH+3+odfFF+jn+wPmZ2LrsfrvpBN9FwNmDoBm8/uo9d79YDcPGdM5h70alHohrJJOF33yXw7GrCb72F0RmhYrHgXrGcnOuvx3PZZf0WBx0KR44c4U9/+hO6rnPppZdy8cUXn/Ixe5KsDxN+t47othY6K+EpJS68F1TgWlCEZD2zUmG01x/nD393P5Is84Vf/Ql37vDmzm5as5fU+y20Kh18sfrfeWDFN7ht+m3Deg7B4NDjcUKvvY7/qaeIfvhhpt+Sm4vvxhvIXXUbjhnibYExgZqA9sNdUj0j2A8OGL2uyXY6nBOpkyvYr5WyLVrI7kQRh40y/Hh7bW+zyEwqcKVzlZsR5Z15y/PdNpF+RSAQCMYgwWSQtUfX8krtK6yrX4dqqFhVg4IgLNInskKZzuxUMa72aFZUeWMmzdtAyC4X1opylPJyU5SXlWMt7xTmZSjFxSIHuUAgOGvpU6bPzmfJ9UKmn0mcMRL9xz/+MTk5OTgcDs4//3x+8IMfUFlZyZtvvsnKlSvp6OjoltZh0qRJfO1rX+Pv/u7vBjxuzzQxgJDoZwqGwf6HH2D6wd8DsCb3Xq78m//Gbj27Lv503WDtQ3vYu64RJLjsnpnMWn7yxR4NwyC+cxeB1asJvvBCt8gV+6xZ5Nx0IznXXYdSNHy55v1+P7/97W+JRqPMnj2b22+/fdgEj2EYJA74Cb1znMRBf6bfXp2D56IJOKbnndEy6ZF//gYN+/dy0d33seSGW4f12HpSo+mnm9DaEzyZ/xq/L3mGT8/9NF9b9DVk6ex6kDWWSB47hv/ppwk8/QxqU1Om33HOOeTedhu+664dlgdfguFD0w3q2qMcO16L/9heks37sHYcxhc9QplaxySpEZuk9bt/SPbR4awk4ZuMpXg6voqZ5E2cjaWwGqwn/3aQQCAQCEae5uYaPtz0HHt3vUNH7X7yAxqFQSgMGJSGLXjC/X//Z5AklOLijBC3lpehdEaUp/tkr/eMvuYVCASC4SDQEmXTS0fYK2T6GckZIdFfeuklwuEwM2bMoKGhge9///vU1dWxc+dO1qxZw6c//eluEeUAS5cu5dJLL+WHP/xhv8cVkehnMLoGL3wdNv0RgH/X7uG3qWu4YGohv7nnXNz2s0Oka5rOG3/YzYGNzUiyxOWfnsX0JaUndaxUczOB1asJPLua5KFDmX5LUSE5199Azs034ZgxY7iGniGRSPDggw/S1NREaWkp9913H7ZhSD9hqDrR7S2E36kj1RgxO2VwnlOE98IKbBN6R26eiWx/42Ve++3PKZhQySf/8xfDfvMU29dO2x92ocs6n5v8feptLVwx6Qr+/YJ/x6GcGWlxxiuGphF57z2zGOnataCqAEhOJ76rriL3tlU4zz1X3FCfRoLxFIdbzDzlh1rC6XaEmrbIgOlXCpwyS/MiLHK3MdPWRKVRT2HiGK5QDVKwrt/9QEqnh6nOShGTbudMBPnMevtGIBAIxiJaKESqrq7bFDxyiEDtASyNbTjiJ5bkkstlRo2XdUnyTAR5WTnWkmKkYSoiLxAIBAIItMTY9FKtkOlnGGeERO+J3+9n0qRJ/OQnP8HpdJ60RO+JyIl+hqCl4JkvwM6nzPyxN/yMD3Ku4XN/2kgkqTF/Qg4PfmoJBZ5TL842llGTGq/8bhe121uRLRJXfnYO1QuLh3QMQ1UJv/su/iefIvzWW6CZF/GS3Y738svJufkm3OefP2Kvduq6zuOPP87evXtxu918/vOfJyfn1P4gZYqFvleHFjRfbZVsMu4lpXhWVJwx+c4HSyIa4defvwc1leSuf/sJpVOHP6VH6x92Et/XQaAyxd3eB1B1lXMKz+Gnl/6UYtfQfiYFI4Pa1kZg9XP4n3qq20MyW1UVubetIuemm4b17ZKzGU03qOuIcag1zKHmcLqgZ5hDLRFaQol+97MpMpMLulKuTCnymPNCN3nuAR4sJiNmepi2g+nUMOl52wGID1Dc1GKH/CldUj07D7urAMTDFYFAIBgUWjhsyvHjxzOSPFlXR6qunlRdXVfNkgEIexSM0kJyJk0ld9L0dAR5WTrtShlyTo546C0QCASjQF8yfeLsfJYKmT4uOSMlOsCSJUu4/PLLueKKK046nUtPhEQ/A0jF4PFPwoFXQLbCqv+DObcAsPWYn0//YT0d0RSTC9386dNLqSxwjfKAR4ZETOXFX26n/oAfi1Xm6s/PpeqcwkHvnzx+HP9TT/VK9+BcuJDcVbfiveoqLN6Rj9R+8803eeedd7BYLHzqU59i4sSTL4Sq+hOEP6gj8lFWsVCvFc/yCjzLSpFdZ290zgs/+zF733+b+Vdex+Wf+eKwHz/VHKXpp5tBN2hbZeVLBx8gmAxS5Czip5f+lHlF84b9nIKTwzAMYlu34n/ySYIvvYwRjZorLBY8l1xC7qpVeC66UOREHQShzqjy1jCHmrvmJ4oqL/bamVLkprrIYxb3TLfLc51Y5GEUJIYB0bYuud52MJ2D/ZAp3bX+hT6OHCiY1iXXC6pNwZ4/BWzu4RujQCAQjAMykryujtTx9Ly+S5TrgQEeWKYJuy00+jRaciSac6A1VyZn0jRmz72Y5Ytuoqxw8mn4JAKBQCA4WQItMTa9XMvedd1l+pLrJlNWLWT6eOGMlOjhcJjKykq+973v8clPfpKioiIeffRRVq1aBcC+ffuYOXPmCQuL9kRI9HFOPAiP3gFH3gPFCR//C0y7vNsmh1vC3Pvgeo53xCj02Pnjp5cwt+LM+kKLBpOs+d+ttB4LY3NYuO5v5lM+LfeE++nJJOHXX8f/5JNEPliX6bfk5pJz883k3rYK+9SpIzjy7mzevJnnnnsOgJtvvpkFCxac1HH6LBZa7MJ7UQWuBcVIisjNfWT7Vp78t3/C7nZz/68fQhmGdDk96Vh9kMi6BmyVXhJ35fOVt77KQf9BrLKV757/XW6aetOwn1NwamjhCKGXX8L/5FPEsgp7K0VF5nfCqluxVVWN2vjGAppuUO+PcSgdSZ6dhqV5EFHl1cVuphR6MtJ8cpEbn2MMPNDTNQgcN6PV2w51F+yBY8AAl4y+inT0epZkL5wKOZVgEQ9fBALB+EMLR3qlWzGjyY8PWpJb8vKwVlRgKS+jNVdir62dD6Ua9jv8tPogYZOwylbOLz+flZUruWTiJeQ78k/DpxMIBALBcNIp0/eta0RP+4eKGXksvraKium54q2hMc4ZIdG/8Y1vcMMNNzBp0iTq6+v57ne/y9atW9m9ezdFRUV88Ytf5MUXX+SPf/wjPp+PL3/5ywB88MEHQzqPkOjjmEgbPLwK6reA3Qd3PgaTlve5aXMwzqf+sIHdDUHcNgu/vudcLpx2ZqQpCLbFWPOzbfiboji9Vm748gKKKgeOGE8cOID/yScJPLsaLesmwL18Obm334Zn5UrkEZCqA3Hw4EEefvhhDMPgwgsvZOXKlUPa3zAMEgfTxUIP+DP99ilZxUKHM6JznKPrGr/7288Samvh+q99kxnnXzjs59CCSRp+tAFUnYJPz0GfYufb736btcfWAnDP7Hv4+rlfR5GFZBuLJA4exP/kUwRWr+5WTNi1ZAm5t63Ce+WVyM4zt0BlOKF2E+Sd85rWCIkBosqLvHamFLqpLvZk5tWFHiryhjmq/HSSikF7TVqwH+wu2WPt/e8nWyF/sinVO9PE5Febc285yOKBpkAgGB20cIRUfY9I8qxJG4wkz83FWlFhThMmYK0ox1pRga2iglCBk/fbN/HWsbf4oP4Domo0s59TcXJhxYVcPulyLqy4EI9NFPYWCASCM4Fga4yNL3WX6aVTcjj3mklMmlsgZPoY5YyQ6J/4xCd45513aGtro6ioiAsuuIB/+7d/o7q6GoB4PM4DDzzAo48+SiKR4KqrruKXv/wlpaVDK6AoJPo4JVgPD90CLXvNPK13Pw3lCwbcJRRP8YWHNvHBoTYUWeI/b5/PzQsrTs94R4j2hghrfraVcEcCb76DG7+6gNySvtPVGMkkoddfp+ORR4lu3JjpV0pKyF11Kzm33optwoTTNfRuNDQ08Ic//IFkMsm8efO45ZZbBv0HxtB0ottbCb9znFRDulioBM5zCvFeNOGsKRZ6Mrz/2EN8+PRjTF5wLrd++/sjcg7/C4cJv1uHtcJD8d8uwMDgl1t/yW+2/waA88vO58cX/5gc+5n1dsiZhJFMElr7Fv6nniTy3vugmwJZ9njwXnUlOTfehGvJYqRxKER13aAuHVXeMw1LU3CAqHKLTFWhK51+pSsNy5SxElV+Oom2d0n1npJdjfe/n+IwxXpPuZ5fDd5SkX9dIBCcEnokkk6t0pWHvJsk9/tPeAxLTk6WIE/L8rQot5ZXYPF0pbIyDIPDgcO8dewt3jr2FttatmFkvcFT5Czi4okXc8mES1hWtkwUWhcIBIIzmGBbjK2vHmX3+w1o6eCbwokeFl9TxZQFRSK4b4xxRkj004WQ6OOQ9hr4803gP2JGst27GooGVxgxoWp844ntrNlWD8A/XjuLz100ZSRHO2I01QZ5/n+3EY+kyCtzc+NXFuDJ6104NVVfT8fjj+N/8im01laz02LBc+kl5N1+O+4LLkCyWE7v4LPw+/387ne/IxwOM3nyZO666y6UQeRezhQLfb8OLZBVLHRxKZ4Lzr5ioSdDR2M9D37180iSzOd++SDe/MHn0B8sWjhJ4482YCR1Cu6ehXOueY5Xa1/ln97/J2JqjEpvJf996X8zPW/4C5wKhpdUYyOBZ57B/9TTpI4fz/Qr5WXkXH8DOTfdiD39sHssEU6o1GSiyc00LIdawieMKi/02KkucnfLUz6lyM2EPNf4jSo/Xeg6BOu60sO0H07PD0FHLehq//ta3Wm5PqW7XC+oBneREOwCgQA9EiFVX99blKcLeQ5Jkvc5lWPxDBwhntJTbGnawtpja3n7+NscCx3rtn5m/kwunnAxl068lFkFs5Cl8fewWSAQCAQnTySQYOvrx9j5Th1qukZbXpmbc6+exLTFxcgW8XdhLCAk+hAQEn2c0bwH/nwzhBvNG+x7noW8SUM6hK4b/H8v7OHB92sA+OwFk/nOtbOQx5EQOba3nZd+tYNUQqO4yscNfzsfh6cr+tHQdSLvf0DHo48SfuutTOSoUlRE7sc+Ru7HbsdaUjJKo+8iGo3y4IMP0traSnFxMffddx8Ox8DyWw0kCL9fT+Sjhq5ioR4rnhXleJaVndXFQk+Gv373m9Tt3cWFd36KpTfdNiLnCLxSS2jtMaylboq/ujDzlsG+9n185c2vUB+px2Fx8M/n/zM3Vt84ImMQDC+GrhPbtInAc88RfPkV9FAos84xezY5N92I77rrUAqH/8FMv2MyDBoCcQ61hDnY3D0Ny4miyicV9IwqN8V5jlN8n4wImgqBo9B22JTqnXK97RD4j4Kh9b+v3WemiOkp1wumgkvkEhYIzhT0aJRUvSnGk8eP94omz04z1h9yTg7WinJs6chxM6q8S5SfSJL3RWuslffr3ue9uvd4v/59Qsmuv39W2crSsqVcMuESLp5wMWWesiEfXyAQCARnHvFwim1vHmP72uMkY2Ygia/QwaKrJjHzvDIsViHTRxMh0YeAkOjjiLpN8JdVEOuA4tmmQPeenAg2DIP/e/cw//7iXgCun1fGf94+H4d19CKyB8u+Dxt488970XWDCTPzuOb+c7A5zMhttaODwDPP0vHXv5I6ejSzj2vZMvLuuAPvysuQrGNDCiUSCf785z9TV1eH1+vls5/9LDk5/af0SDZECL97nOjWrGKhRU68F03AtVAUCz1Zdqx9lVd//TPyyifw6Z/8akTytOnRFA3/sQEjqVHwqTk4Z3aJro54B99+79u8X/c+AKumreLby76N3dL7rQrB2ERPJAivXUvguTWE33kH1HSEscWCe8Vycm64Ee/lK4ctf3pK0znSFkmL8khGmB9qDhNJ9i9fCz22XhHlUwo9TMhzoogokLGDmjRFetvBHoL98IkLnDpye6eG6Yxmd+aepg8gEAgGQzdJ3kfaFa19gHoLaWSfLxM1bsuOIp8wAWt5ORbvqaf003SNHa07eLfuXd49/i572vd0W59nz+PCCRdy6cRLOb/8fNxWdz9HEggEAsHZTiKmsvPt42x9/RjxcAoAT56dBVdUMvuCcqy2se+jzkSERB8CQqKPE2rehUc/AckwVCyGu54YloizZ7Yc5++f2I6qG5w7KY/f3nMuBZ6xKe8Mw2DTy0f4aPVhAKYtKWHlvbOwWGVi27fT8cijBF98ESNppjaRvV5ybr6ZvE98fMylV0ilUjz88MPU1tbidDr51Kc+RUkfkfGZYqHv1pHY3xVxZJucg/eiChwz8kU+sVMkGYvyqy/cg5pIcMe//ifl02eOyHn8Lx4m/E4dtiofxffP77ZON3R+s/03/GrrrzAwmJU/i59c8hMmeEcnR7/g5FE7Ogi++CKB554jvm17pl9yufBeeim+a67GfeGFyPYTf8+G4ikOpyX5wbQkP9gS5mhbFFXv+/JFkaVMVHl1sacrurzQQ454S2X8k4qbqWB6Rq+3HzZTxwyEq6BvuV5QDXZRO0MgGG70WCwjyTunZJYo19raTngM2ePJ5CO3TeiRbqW8HMsI3btlR5t/UP8BwWSw2/pZ+bO4oOICLpxwIfMK52GRhfQQCAQCweBJJTR2vVvH1teOEkmnpnV6rSy4vJK5F1dkgiQFpwch0YeAkOjjgH0vw+P3gpaAyRfBJx4F+/BVsf/gYCv3/2UTwbhKZb6LBz+1hKnFw3f84UDXdN756352vWvmcl90VSXLrq0k9NprtP/5z8S3d8kq++xZ5N1xBznXXYfs6rvI6GiiaRqPPfYY+/fvx2az8clPfpKKiu4FXg1NJ7a9lVBfxUIvnIBtohAew8lLv/gJu995k3mXX80Vn/vbETmHFkzQ8MMNoBkU3T8Pe1Xvtw4+qPuAb777TfwJP16bl3+/4N+5ZOIlIzIewciTrK0l8NwaAmvWkDrWlSdWdrvxrLwM39XX4FqxnLaEkYkm7xLmERqD/ReldNssVBd7mJoly6cWu6nMd2MTb6WcnSSj0FHTW663HTJTwA2Eu7hvuZ4/BWwiqlQg6IthkeRutynJJ0zoHU1eUTFikrwnJ4o299l8LC9fzgUVF7CiYgWFztOXqkwgEAgEZy5qSmPvukY2v3KEUJt572N3Kcy9uIJ5l07E5bON8gjPDoREHwJCoo9xdjwJz3zBLEA24zq47UGwDn/ByIPNYe774waOtkfxORR+ffe5LJ86Ni6QUwmNV3+3k9odbSDBiusrmHD0TToe/StqczMAktWK79pryLvzThzz5o1ISo7hQNd1nn76aXbu3ImiKNx9991UVVV1rY+rRDY0En6vHi1g5jCWrDLuJaV4VpSjFAxPOghBd47u3M4T//odbE4X9//mz1jtI1OUteOpA0Q2NOKYlU/hJ+f0uU1jpJEH3n6A7S3mg6FPz/k0X174ZawWEUU8XjEMg8jWbdSvfp7E66+htDZn1kWsDj4oncu7FfPZUjwNVe4edVHktadFuTsjzKcWeyj1Ocbs95xgDJIIp4X6wa7UMJ2iPdo68L6eUlOm509J52Kf3LXs6D8FmUAw3hlWSZ4VPW6dUJGR5bLPN2rf5cdCx1hXv44PGz7ko4aP+o02v2jCRcwtnIsii6hAgUAgEIwMmqZzYH0Tm14+gr8pCoDFKjPz/DIWXjGRnKKxFxx5JiEk+hAQEn0Ms/FBeP7rgAHzPg43/QJGUKS1hRN8/qFNbDrSgSJL/Pst5/CxJRNH7HyDIRpM8sIvttF8JITFAoud2/G8+odMyhZLUSF5d9xB3sc/jlJQMKpjPRG6rrNmzRq2bNmCLMvccccdTJs2DQAtkCD0QbpYaDyrWOjyctzLyrC4hUAdSQxd5/df+zyBpkauuv+rzL30ihE5T6olStNPNoEBJV9bhLW07wjPlJbiJ5t+wl/2/AWA2QWz+dFFP2KSb2hFhAWnn2hSzaRgyUSWN4epbYuQ0gwkQ2dGx1EuqtvGhXXbKYwHMvvGHG5azlmKsfxCii+7mOqJRSIFi2DkiQe6R61np4qJnaBwoasA8rKkeka0TzHXiQc9gjHMiEjyinIz9coYkOQ9CSQCfNTwEesa1rGufh114e4poES0uUAgEAhGG103qNnWwuZXjtJcaz7clSSoXlTMoqsmUVQp3sgfCYREHwJCoo9R3vspvP5ds73ks3DNj0Ee+Vf04ymNf3hyO89tM9OmfPGSav7+yhnIo5B3u60+zIu/2E6wLY7ViDNvy8/JCdYA4Jg7l/x778F39dVItrH/io+u6zz33HNs3boVSZK47bbbmDNnTlex0G0toGUVC70wXSxUVKk+baxf/STvPvJHSqdO565/+8mInaft4T3EdrTiOreE/NunD7jtG0fe4LvrvksgEcCpOPnOsu9wU/VNY+aG/GzFMAzaIsluovxQS4RDzWHq/LF+93NYZTNXeZEZTT610MWUpsN4P3yLyGuvorV0RQRLdjvu5cvxrrwMz6WXjvmHhIIzlGi7mSKmvXM63DVFmgfe1+4zhXovyT4FvKVCsAtGnGHLSd4txcrYleQ9SWpJtjZv5cOGD1lXv45dbbswsgoTK5LCvKJ5nF9+PueXn8+cgjki2lwgEAgEYwLDMKjf72fzq0c4uqur0PaEmXksunISE2bljdm/v+MRIdGHgJDoYwzDgDf+Bd5LS7wLH4DL/vm03mwahsF/v36An71xAIDLZ5Xw3x+fj9dx+iIia9Yf49U/7kPVZRyxFhZs/yWuZBveK68g/557cS5cMG6+NHVd59lnn2X79u1IksStt97KNFuFWSz0oD+zna3Kh/eiCThmimKho0E0GOA3938SXVO5+wc/pWTK1BE5T+JIkJZfbQOLRNm3l2LxDPwQqDHSyHfe+w4bGjcAcE3VNfzT+f+Ezya+r0caTTeo64hxsCVkivLmiJmvvCWMP5rqd78Cty1T2HNqsYfqIjdTiz2U5zj7fSBpaBrRTZsIv/EmoTfeIHX8eNdKScK5cCHelSvxrrwMW1YKKIFg1EiE0kVOs8R6p2wPHh94X8WZlRamh2jPmQCiSKFgEGihkCnJ05Pa0HBKhTtHMyf5cKAbOgc6DpjSvGEdm5s2E1O7P9itzqnOSPPFJYtxWcXr8QKBQCAY27QeD7Hl1aMc2NiMoZsKt6jSy8IrK6leWIRsEYGHp4qQ6ENASPQxhK7Di9+Ajb83ly//PlzwtVEbzjNbjvPNp3aQVHWqi9z8372LmVI0sgVH44cPs+HXb7I9UAWSTK7/APOPPkbxquvJu/MOrGVlI3r+4UbTNJ599ll27NiBJEncsPByyg85UNN5vkSx0LHFCz/7MXvff5t5K6/mis+PTIFRwzBo/uU2UsdC+C6vxHf5iVO0aLrGH3b9gZ9v+TmaoVHuLuffLvg3FpcuHpExnm0kVZ3atggHmsIcaA5xoDnMoeYwNa0REqre5z6SBBPynGae8s7I8nSBzzz3qb0dYxgGif0HCL3xOuE33iS+a1e39baqKtwXXYjnwotwLVmM7BiZHP4CwUmTikHHkXQUew/J7j8Khtb/vrIV8iZ1j1zvlOy5laCM/bfPBKeOoWmoLS2k6htMSd5gSvJUXT2pBrNPD4dPeJwzSZL3RDd0DvoPsqFxAxsaN7CxaSOBRKDbNgWOAs4vP5/zys7jvLLzKHGXjNJoBQKBQCA4NYKtMba+cYw979Wjpsx7NF+hg4VXVDLz/DIUmwjCOFmERB8CQqKPEbQUrP4b2P4YIMH1P4HF9432qNh+3M8XHtpEQyCO167wP3cs4LKZw3sBbhgGkffep/Whv7ClsZz68gsAmBDZyYrrSsm/6QZk5/grqKlpGk8//TS7du1CliQuk+dTFTFTMkg2C+4lJXhWVKDkCwE2Vji+eyePff9bWO0OvvDrP2N3jUyEVnRbM+2P7kP2WCn71lIkZXBPz7e3bOeb73yT4+HjSEjcNesuvrLoKziV8ff7MRokVI2a1gj7m8IcbDJl+YHmMLWtEVS978sBmyIzpdBtRpV3RpcXeZhS5MZhPT0XaqmGBkJvvkn4jTeIrN8AqppZJzkcuJYuwXPhRXguvEBEqQvGPlrKFOntNT0ke3pZS/a/ryRDzsTuxU07JXteFdhEVO14QY/F0jK8gVR9HamGBtT6+i5p3tTU7buuPyy5uVjLy1HKy7CWlWObcOZI8p4YhpGR5hubNrKxcSMdie51C1yKi4UlCzm/zIw2n5Y7bdy8uSkQCAQCwWCIhZPsWHuc7W8dJxExrxWcXivnXDKBuRdV4PSKgIuhIiT6EBASfQyQisOTn4Z9L4KswC2/gXNuG+1RZWgJJfjSw5vYUNuBJME3rpzBly6pPuWLcj0aJbB6Ne0P/YXI0UZ2zPkc/rzpgMGSxVYW33cB8mnIAz8SJJNJHn/kMQ7WHkI2JFamzmGSXoTFZ8OzogL30lJkp8g7OdYwDIM/PvAl2uuOsfK+L7LgqutG5jyaTuMPN6AFk+TdPh33uYN/MBVOhvnPjf/JUweeAqDKV8W/rvhXFhQvGJGxjkfiKS2Tq/xAU5j9TaFMcc9+XDleu8LUEg/TirtHlU/Ic2EZQ+mVtFCIyLp1RN59l/A776I2NXVbb62sxHPBClzLzsO1dAlKXt4ojVQgOAl0DYL1plTvKdjbayAVGXh/b1mXUM+rSqeKSbfdRSIP+2nCMAy09vZuUeSd6VY6I8m1jhMUrQVQFKwlJVjLyrBWlKOUlWEtL8daVm7mJi8tRR6hh91jAcMwOBw4zIbGDaxvXM+mpk20x9u7beNUnCwqXsTi0sUsLV3KrIJZWGVRkFogEAgEZz6phMaeD+rZ+toxQu1xACxWmRnLSpl/2UTyy92jPMLxg5DoQ0BI9FEmEYJH74Dad0FxwO1/ghlXj/aoepFUdb6/ZhcPf3QUgGvmlvKj2+adVJ70VF0d7Q8/gv/JJ9GDQULuCnae8wVijgKsNokrP3sOVfMKh/sjnBYMwyBwoJnHnn6chngbFkNmZeocqksm4bloAq5zCgcddSwYHTa/9Bxr//hbCiuruPdH/ztiEVzBt44RfLkWa5mb4q8sHPJ53j3+Lt/74Hs0x5qRJZlPzvkkf7Pgb7Bb7CMy3rFILGnK8v2dUeVNYQ42hzjaHu1fljsUppd4mVbsYVpm7qHU5xh30XqGYZA4cMAU6u++R3TTJkhl5WqXJOwzZ+JeuhTXectwLVmCxTOyKbkEghHDMCDc3CXWe6aKiQcG3t/q7i3WO4V77kRQzp7vzlPBMAw0vx+1sZFUY2N63oTa2JCem/1GInHCY8lud1cUeaccLy/Hml5WioqQLGfPq9mqrrKvfR+bmjaxpXkLm5s395LmDouDhcULWVK6hCWlS5hTOEdIc4FAIBCc1WiazqFNzWx9/RgtR0OZ/so5BSy4fCITZooipCdCSPQhICT6KBJth4dvg7pNYPPCnX+FqgtGe1QD8shHR/nucztJaQaTC938/M6FzCnPOeF+hmEQ27yZ9j/9mdDrr5v534GW2Vezu/Q6NF3GV+jg2i/Oo6Bi/EkeQ9WJbm+h8Z1DPN/+Ph1yBJuhcEPpBUy7Yj726lzxxT1OiEfC/Ob+T6ImE3zi+z+iYubsETmPHk3R8IP1GCmdws+dg6M6d8jHCCQC/HD9D1lzeA1gFgz73vLvnXFR6ZGEakaVN6dzlqdzlx/viNHfX/Fcl5Xpxd5MdPm0Yi/TSzwUee1n7O+iFo4Q/ehDIh+sI7r+IxIHDnbfwGLBMWcO7mVLcZ57Lq4FC7Dk5o7KWAWCYSfanhbrNWbB0+wpcBwY6JJfMgua5lWZ+dgz0eyTTenuzDsrotgzgrypyUyv0tREqqGxuzBvasKIx098MElCKSrqO4o8Lcllr/eM/T4eDNFUlO2t29nctJnNzZvZ3rK9VyFQu8XOguIFLClZwtKypcwtmIvVIqS5QCAQCAQ9MQyDhoMBtr5+lJrtrZlLv4IKN/NXTmT6klIsVhHQ2BdCog8BIdFHiWADPHQLtOwBZz7c/RRULBrtUQ2KzUc7+NuHN1MfiGNTZL53wxzuWDqxzxshPZkk9NJLtP/pz8R37870O5cv59Ccu9h7wFyunJPPFffNweEeXzcGWjBJ+KMGIh810B7x87JtK2EpjltxcuetH6didtVoD1FwErzy6/9h59rXmHXhpVz7tw+M2Hk6njlA5KNGHLMLKLz35GX9m0ff5Pvrvk97vB0Jidun385Xz/0qPtv4+k4PxVNdsjwrurzOH+t3nwK3janpaPLpJV6zXeyl0GM7q+UMgNrSQmT9eqIffkRk/UekjhzttY1tajWuhYtwLlqEa9FCrJWVZ/2/m+AMRE2A/1haqmdJ9k7hfqI0MXZfD7le1RXRnjMRxoHUHFZBDlgKCrCWlKCUlmItLTXnZaUoJSWZZdkmcpJm0xprNSPMmzazpXkLe9v3ovUosuu1eVlUvIiFxQtZWLyQuYVzsVnEv6NAIBAIBEPB3xxl+9rj7PmgATVh/q11+mycc3GFyJveB0KiDwEh0UeBjlr4803m3FsG9zwLxTNHeVBDoyOS5IEntvHm3mYAblpQzr/fcg5uu5nnW21ro+Ovf6Xjr39Fa2kFQLLbybnxRuy33sFbb0RpOGi+er342iqWXD8ZeQzlHT4RyWMhwu/XEd3RCppBvdzBG7YdJEiRn5fPPffeQ57IRTxuaTy4n4f/8etYrFY+/8s/4vKd+G2LkyHVHKXpJ5tAgtJvLEYpOPkCof64n//a9F88e/BZAAqdhXxz6Te5atJVY06KBmIpDmYiyrukeUOgf3lT6LEzvTNneWcalmIPBR6RgmGwpOrriXy0nuj69cQ2byZ55EivbSwFBTgXLsA5fz7Oc87BMXv2GVWYTyDohWFApKW3WO8U7qGGgfeXLF1R7H2linHmjujwAbRwGLW5uduUam5GbW7p1mckByjamsWAgrysDKW4GNkuvnsHQtVVDvoPsr1lO9tatrGtZRtHgr2/c8vd5SwsWZgR59W51ciSiJITCAQCgWA4iEdS7H6vnu1rjxPxm6nmRN703giJPgSERD/NNO+Fh242b8ryquDe1eZ8HKLrBr999zA/fmUfmm4wpcjNzxa7yX/5GYLPP4+Rzs2rFBeTd9dd5H7sdprbJF75v51EA0lsDgsrPzWbKQuKRvmTDA5D1YntbCX8QT3JrFxbB4vbeSe0Dd3Qqaio4M4778TtFl/G4xnDMPjLt79Gc80hLrrr0yy5cdWInav1DzuJ7+vAs7yc3BurT/l4Gxo38C/r/oXaYC0AF1ZcyD+e949UeCpO+dhDxR9NZqLJO4t7HmgO0RTsP1duic/OtGIzonx6iZdpJR6mFnnIc4togeFGbW8ntmUL0c2biW3eQnznzsz3dja2SZNwzJ2LY+5cnHPnYJ81G4tHfMcJzhJSMfAfzZLrPdLFqCeI3HbkdpfruZPMqPbcSWYUu9L/d5sej59QjKvNzejR6KA/jiU/v0uMC0E+bLTGWtnWso3tLdvZ3rKdXW27eqVmkZCYljeNhcWmNF9UsohSd+kojVggEAgEgrMHTdM5tLmZra91z5s+cVYe8y6dyKS5BUjjKKhzuBESfQgIiX4aqdsMf1kFsXYong33PAPe8X/xvOFQCw/++CEu3vkm81sPZfod8+eRf++9+K68EsOisPnlWtavqcEwIK/MzbX3n0NuiWsURz44VH+cyPpGIhua0EPpKC6LhGNeARuUQ3y0YyMAc+fO5aabbsJqHfuvdQtOzPY3XuG13/4vvqJiPvM//4c8QsXN4vs7aH1wJ5LNQtl3liI7lFM+ZkJL8Psdv+d3O35HSk/hsDi4b+59fGrup3AqJx/t3h/tkWSmuOfB9Hx/U5jWcP+yvCzH0SXK0+lYphZ7yXGK35/RQk8kiO/aTWzLZmI7dhLfuZPU8eO9N5QkbJMnY58+HceM6dinm5O1ogJJFhGUgrMIXYdwU/9pYiLNvXYxDNASMmpcRksoqBSgkoequlETVrQYqME4qY4QejDUa//+kL1elOJilOIirMXFZrsoPS8uxlpSjKWoSKRYGQaSWpI97Xsywnx7y3bqI/W9tvNYPZxTeA7ziuYxr2ge84vmk2MfmTfbBAKBQCAQnJj+8qb7ipzMu2QC51w6YVxlSBguhEQfAkKinyZq3oVH74BkCCrOhbueBFf+aI/qlNBCIfxPPUXHXx7OiBZVknmvfB77L7iWr391FRPzXUQCCV7/w26O7+0AYPqyEi6+Ywa2YZCFI4WhG8T3dxD5qIH43vbMl6vsteJZVoayIJ9nX13D/v37Abjkkku4+OKLx1zaDMHJk0om+O2XPk08FOTGr3+HacuWj8h5DMOg6aebUZui5Fw7Ge9FE4bt2IcDh/nXdf/KxibzQU+Zu4wHFj/AlZOuHPLPqmEYtIaTHGg2I8r3N5npWA42h2mL9J8ioCLXybSs4p6mLPfgdQhZPh5QOzqI79pNfOdO4rt2Etu5C7Wh7/QWssuFfdq0jFS3T5uGbfJklOIi8d0oOKMxDAM9EEBta0NtaUVta0VrbUVtrEdtOIbaXI/a2obmD6GGEgPXOO2BpIDitaLkurEW5qOUlKJUTEKZOA1lYjXWkmKUoiJk8QbciKDpGrXBWna17WJ32252tOxgT/seUnr3t3YkJKbmTWVeoSnL5xXNY3LOZJGaRSAQCASCMUqwNcaOt46z+/0GkjGV4klebvvW4rPyvkVI9CEgJPppYN/L8Pi9oCVg8kXwiUfA7h3tUZ00ySNHaP/LwwSeeirzCrElJ4fcj3+M9+dcwj9/0EI4oeKxK3x7URWJ95qJhVIoNpmLPjGDmeeXjtkvJi2UJLKxkchHjWj+riha+5Qc3OeV4ZxdQHNbC48//jhtbW1YLBZuvvlmzjnnnFEctWCkePfRP7H+2SeYMGsuH//ef4zYeSLrG+l4+gCWXDulf78EyTJ8vx+GYfBK7Sv816b/ojHSCMDiksV8a+m3mJE/o8/tW0KJdDR5Z3S5mYalI9o71UcnE/OdGUk+rdiMLq8u9uCxj92HZYKTQ21pIb53H4n9+0js3098/wGSBw/2mQoGTLluq6rCNnmyOVVVYZtchb2qSog/wZjEMAz0cBitvR21vR2towOto8Nst3eY/R1mW21rQ2tt7ffnvz8seXkoeTlYclwobgXFqaNY41ikEFa5DUVvQrEnka0G/V4yWd2QW9mVHia7nTcJHCLqeSjohs6R4BF2te1iV6spzfe07+mVlgUg35HPvMJ5mSjzOQVz8Ng8ozBqgUAgEAgEp0IyrrJ/fROePDtV5xSO9nBGBSHRh4CQ6CPMjifhmS+ArsKM6+C2B8HqGO1RDRlD0wi//Q4djzxC5L33Mv22qdXk33svOTfcgOw000Qca4/y9Ue34NofZklCQULCV+LkuvvnkV829oSJoRskDvuJfNRIbFcb6ObXguRUcJ9bgntpKdZiM+3M9u3bWbNmDalUCp/Px8c+9jEmTBi+yGHB2CLU1srvvvwZdE3jnh/+jOKqKSNyHiOl0fAfG9AjKfLvnIlr3vDXCYipMf6w8w88uPNBEloCWZK5qvJGLii4g5aAk4PNIfY3mQU+g3G1z2NIEkzKdzE1I8vNdCxTity4bEKWn80YqRTJI0dMqb5vP4n9+0kcOmS+paTr/e6nFBVhnTABa0UF1gkVWCsqsHUul5UhifRYgmFATyTQ/AH0YAC1o8MU4R2dgtzfTYpr7e2ofj8MUYoDyD4fSmFheirAUliIUtBjubAIJT/vxD/bmgqheug4Av4jZl72znbHkXTB0xPcxjhyu0v13Ox2JViHP73XeEE3dI6FjrG7bTe7Wnexq20Xe9r3EElFem3rVJzMyp/F7ILZzCmcw/yi+UzwTBizASECgUAgEAgEQ0FI9CEgJPoIsuH38MIDgAHzPg43/QIs40sIqB0d+J98Ev9fHyNVV2d2ShKeiy4i7957cC9f3usmovV4iNce3E17vXkjstWmsj7X4BvXzuSupZVjJseU2h4nsqmJ6KamblHntkov7mVluOYVIlnNPNiqqvLKK6+wYcMGAKZMmcKqVatEAdGzgOf/50fs++Ad5lx8OVd/6Wsjdp7Aa0cIvXEUW6WX4i8tGLbjGoZBfSDOgXT6le2NNWwMPURY2WSu1xWS7StItl0MuvmwSJagqsDdvbhnsYfqIg8O68jkhhecmejJJKljx0jW1JCoqSFZW0uyppZkTQ1aR8fAO8uyWeywvNxMWVFc0i2/c2e78wGu4MzGMAz0SATNH0AL+NGDQbRAIL3cOaX7u/UFMOInKP7ZD5LLhZKXhyU/H0t+HkpePpa8PLOdn48lLx+lqBClwBTkpzXfuJoA/zHw13aX6/6jZjvaduJjeEq6pHrORFOs506EnPT8DJHsKS3F4cBh9rbvZV/HPva172NP2x5Cqd455x0WBzPzZzKncI4pzQvmUOWrwiKLv30CgUAgEAjOTIREHwJCoo8Q7/03vP49s73kc3DNj2AcFVyLbd9Ox8OPEHzpJYykme/YkpNDzm2ryPvEJ7BNnNhrH1032PLqEdavqUHXDJxeKzOum8R/7T7G5qN+AJZU5fGDW+cxtXh0XnnVkxqxHa1ENjaRrAlk+iWHBdeCYtxLS7GVdx9ba2srTz31FA3pPMAXXXQRl1xyCfI4+v8pOHnq9+/l0X/+BhZF4XO/+APu3LwROY8WStLwH+tBMyj60nzslUP7PtZ1gzp/jAPNpiw/0BzOFPqMJLVe21uctdiLX8biqgXAJrm5tPTj3D37LmaWFAhZLhhxNL+f5LFjpOrqSB0/TrKuLt0250ai/8K02cg+H0pxEUpBYZfozM/HkpebEZ1mfx6WvDwkRbw1cboxdB09EkEPhdBCYfRIuKsdDpmpU0Jmnx7pamuRMHpnOxQCrfd32aCRZSw+H5bc3AGleFc7D9kx/t4czJAI9Y5ez54nwyc+hrsoLdfTgr1TrncKd8fYu28IJALsa9/XTZgfChxC1Xu/YWW32JmRNyMTYT6nYA6TcyajyOI7QiAQCAQCwdmDkOhDQEj0YcYwTHn+/k/N5Qu/AZf9E/0ntBw76PE4wRdfouORR4jv3Jnpd8yZQ96dd+K77tp+bygDLVHe+OMeGg6ZYnry/EIuuWsmLp8NTTd4aF0tP3plH9GkhtUicd+KyXx55bTTki/ZMAyStUEim5qIbW/F6BSKEtin5uI+twTnnIJM1Hn2fps2beKVV14hlUrhcDi49dZbmT59+oiPWTC2eOQfH6Dh4D6W334X5992x4idp/2J/UQ3NeGcV0jBnbP63EbTDY53RLtEeWfe8uYwsVTfgslqkZhc6GZasbdbdPmkfBfrGt/lfzb/Dwf9BwEochbx2XM+y63TbsWhjGOBJBjXGIaB1tZG6vhxUg0NqM3NpJqaUZubUZuaSDU3oTY1n1SEsez1Ins9WDxeZK8Xi8eD7PNh8XqQPel1Xq/Z9riRHQ5khwPJ6TTnDiey0+zDah33KR0MXcdIJs0pkUBPpNvJRFdfLIYejaJHY+ixKEa35XQ7FsXothzr6ov0TpFxskhWqynCc3OQc3Kw5ORiyclJT75MO7MuN73sdiOJh98mhgGxDuio7RLrgWPpyPajZnswkt2Rkxbr2XI9S7i78kfs+lc3dI6HjmdE+b72fezt2Jup/dETr83LjLwZzMyfyYx8c16dW41VHl9viAoEAoFAIBAMN0KiDwEh0YcRTYXnvwpb/mIuX/GvsOIrozumQZA4eBD/E08QeHY1WsCU4JLViu/aa8i7804c8+b1Kwl0TWfr68fY8HwNakrH6rBw4cem91k89HhHlP+3ehdv7m0GoNhr5zvXzuKmBeXDLiEMwyDVECG2rYXotpZu6VosBQ7ci0pwnVuMktu3JIxEIqxevZr9+/cDMHnyZG6++WZyckSRrrORPe+/zYs/+zFOXw6f+8WDWG32ETlPqjFC0083gwRF31hMvaGzvynEwR6yPKH2nWPaZpGZUuRmWolZ2HNasceU5QVurJb+5ZGma7xY8yI/3/Jz6iP1ABQ6C/nUnE9x+/TbcVldI/J5BYJTwTAM9FAoLdib0Nrb07mts3JeZ9odaH6/KQ+HE1nuEux2u5nn2qogKVYkRclMvfqsCigKUmeKiM6/gZk53ZbNv5Fm29A10HQMTQNNxdB0DE0FVTPXqRqGppl9ndupKkYqhZ5MYCRTGImEOSWTQy6IeUpYreZDi86HF14vsseT1XZ3e4DRre0zBbnkcIz7Bxdjnk7JHkhLdf+xrHZassdOkI4J0oVPs+R6JmVMpdn2lJzwLU3DMGiMNHLQf7DbdNh/mLjW90O0Ck9FRpZ3ivMyd5n4uREIBAKBQCDoAyHRh4CQ6MNEKgZP3gf7XgRJhhv+BxbdO9qj6hc9GiX40sv4n3yS2JYtmX6lvIy8T9xB7m2rUPLzBzxG85Ega/+yl9ZjZrRSxYw8LrtnJr7CgXNovrGniX95fjdH2qKAmeLlH6+bzYKJuaf2oQC1NUZ0WwvRbc2ozbFMv2Sz4DynEPfiEmxVvgFvpHbv3s0LL7xAJBLBYrGwcuVKzjvvPJG+5SxG1zR+/9XPE2xp4rL77mfhVdcP27GTqs6RtkhGkC9a10JVWONxKcnPjL4FgV2RqS7yZIp7Ti32Mr3EQ2W+C2UAWX7CsWhJnj7wNA/ufJCGiJm+KNeeyz2z7+GOmXfgtXlP+tgCwWhjaFomh7YeNtOD6KEwWihopgwJh7rSiIRD6MEQejSKkYijx+Lo8bgZgR2LDVgsdVwjSUh2O5LNhmS3IdvMtux0IrmcyE4XstOJ7HIhu5zmwwOnK7MsO9N9LndmWXY6kTsluX1kHkAKRoFEqG+53tkXbjrxMSw2yJkAORMxcibQ5i3hgM3KISnFwVSQA9EGDgUO91nsE8Am25iaN5WZ+TOZnjc9Mxd/qwQCgUAgEAgGj5DoQ0BI9GEg5odH74CjH4DigNsehJnXjfao+iS2axf+J54g+PwL6OH0q7oWC55LLyHv9ttxX3ABkmXgXMiphMb6NYfZ9sYxDAPsLoUVt03rM/q8P+Ipjd+/V8PP3zyYSUFxzdxSvnHVDKqLhpYvXW2PE9vVSnRbC6njWa8fWyQcM/NxzS/CMTMf2Tbw5woGg7z00kvs2bMHgKKiIlatWkVpaemQxiM4M9nyyvO8+eCv8RUVc99Pf4tliHmVY0mNQy2mKD/YHOZAsxlhXtsWRdO7/hSdh8J/4iKMwR1KhIoSD9OKvWlhbkaYT8x3YRnBAr0pLcXzh5/ndzt+x9HQUQA8Vg+3Tb+NO2beQbmnfMTOLRCMdQzDgFQKPZ3mxIibkt2IxzBSKQxVxUipGKrZRlX77kupYOh0uxQ1MifpPidrWbYgKRawWMxIdsWCZFGQLDJYFHOdLJt9isXc3iKnxbgdyWZHslnNyPmsPtlmPSPS0wjGCKk4BI5D4Gi3NDG6/yiNwWPUJNqosSrUWBUOWa0ctFkJ9HP9qRhQJTuYasun2lPBtLxpVBfNY2LpQiye0nFVc0ggEAgEAoFgrCEk+hAQEv0UCTbAX1ZB8y6w58Cdf4VJy0d7VN3QAgGCL72E//EniO/enem3TpxI7m23kXPLzViLi094HMMwOLS5hQ+eOkio3YyQnbakhAtun4bLZzupsdX7Y/zktf08tfk4hgEWWeJjiyfwlZXTKMvpO6LdMAxSjVHiu1qJ7Woj1ZAVoSSDvToX1/xinHMLkB0nFp2GYbB582ZeffVVEokEsiyzYsUKLrroIqxWkStTYJJKJvjd336GaMDPNX/zdWZfdFmf2wXjqYwozxbmxzti/WaS8NgVphZ7zKnIzRUftGIPpvBdOxnfRRNG8FMNjKqrvFL7Cv+3/f84FDgEgCzJrKxcyb2z72V+0Xwh3AQCgUDQi5ga40jwCDWBmsxUG6ylNlDbbxoWCahEYWpKozoaYloiztRkikmpFP1ejVls4Cs308P4KtKR7RXmcs4Es28MFkAVCAQCgUAgGCsIiT4EhEQ/BVoPwl9uMaNrPCVw99NQOne0RwWAkUoRfvddAqufI/zmm5mcp5LViveKy8m9/XZcy5YNushWW12Ydx/bT91+PwCefDsX3zGDqnMKh2W8+xpD/PiVvby+x8yXbrPIrDp3Al+8uJrKAheGbpA8GiS2q43Yrja09qwbMAnsk3NwnlOI85xCLJ7BC/2GhgZeeukljh41o23Ly8u58cYbRfS5oE8+euZx3vvrnymYUMn13/0vDrZGe8nypmCi3/3z3baMLJ+WmXsp8dm7yejI+kY6nj6A7LNR9g9LkJTRjbLTDZ336t7jod0P8WHDh5n+uQVzuXPWnVxZdSV2i0jTIBAIBGcTmq7RFG3iaOgoRwJHqAl2CfPOlGB9ocgKk7yTqMqpYnLOZCbnTGZa7jQm50zuKmhtGBBtM1PDBOrMqPbg8XR0+3GzL9RA1+sbA2DPSYv1CVmiPWvyloNycsEgAoFAIBAIBOMdIdGHgJDoJ0n9FvjLbRBthfwpcM8zkFc1qkMyDIP4zl0EVq8m+MILaB1dRZ/s06eTc8st5Nx8E0pe3qCPGY+kWP/cYXa+U2dGiltlFl1ZycKrJmE9QXqUk2FDbTs/fmUf62vaKUDiPEnh1hwv02MGUkLr2lCRcEzLwzmnAMesAizuoUWMRyIR3nzzTTZv3oxhGCiKwmWXXSZynwu6kVA1jrZFOdQS4XBrmJr6Ngqf/xGKluD54qupcU/uc79Sn6MrsjxLmBd4BieaDVWn8Ucb0IJJcm+dimdp2XB+rFNif8d+HtnzCGsOrSGpJwHw2XzcUH0Dt067lel500d5hAKBQCAYLlRdpSHcwNHQUXMKHuVY6BhHQ0c5HjpOSu+/MG2uPTcjySf7JmekeYWnAkUeWkq0PtFSpkjvlOqBYxCsyxLtxyHuH8SBJDMYJiPa09Hs3jJTuvvKwVsKFvF2okAgEAgEgjMPIdGHgJDoJ8GhtfDY3ZAMQ9l8uOsp8BSN2nCSR44QfOllAmvWkDx0KNNvKSwk5/rrybn5JhwzZw7pmGpSY/tbx9n88hESURWA6oVFLF819YSFQ08WQ9VJHg0R399O+45WrG3dX/eNyZCq8jLpvAqcM/KR7UOX+KqqsnHjRt566y3icfP4c+bM4YorriA3N3c4PoZgnGEYBi2hREaUH26JcLglzOHWCMfao+g9/kosb/+QcwNbaLQX89Gcu5laYuYpr07L8upiDz7Hqd9oh96rI/D8YSz5DkofWIxkGVtpU9rj7Tyx7wmeOvBUt4jDcwrPYdW0VVw9+WrcVvcojlAgEAgEgyGuxqmP1HM8dJyjwaMZYX4seIz6cD2qofa7r1W2MsE7gUpvZZcwz5lMla+KPMfggzZGjEQ4LdazI9p7LGv9v0HWRVq0+7LEuq/cjGL3ZU3WkblGFggEAoFAIBgphEQfAkKiD5GdT8PTnwc9BZMvgo8/PCq5FpPHjhF86WWCL79EYveeTL9kt+NduZKcm2/CvXw50hCLH+qazp4PGtjwQi0Rv3lTkV/u5sKPTWPCzPxh/QyGqpM8HiJxKECiJkDySBAjpXfbRi12ss5I8UhLgN1oaEBlvot7z5/E7edOJMc1OFmp6zo7duxg7dq1+P1+AEpLS7n66qupqqoa1s8lGJvEkho1rb1F+eGWCOFE/4LAY1eYUuRmSqGbKUUeKp0aNb/8Nnoqxa3f+h6TFy4ekfHqSY3GH65Hj6jkf2IGrgUnrlswGmi6xocNH/LUgadYe3RtRrY4LA4unngx11RdwwUTLhDpXgQCgWCUSGpJGiIN1IXqqIvUUR+u79ZujbUOuL/D4siI8kpfJRO9E6n0VVLpraTEVYJFHv43E08bhgGR1qxUMWnBHmqAYL0p3IMN5nX/YHDmd5fqvs6I9vIu+S5ytAsEAoFAIBhDCIk+BIREHwLr/w9e/HvAgNk3w62/BeX0iaHk8TpCr7xM8KWXie/c2bXCYsF93nn4rr0G75VXYvF6h3xsXdM5uKmZDS/U4m+KAmbe82U3TGH6slJk+dSjYPW4SvJYiOTRUL/SXPZYcUzNxT4jH8e03Ex+86NtUR76sJbHNhwjGDclnU2RuWJWCavOreCiaUUolt5pWAzDYO/evbz55pu0tLQA4Ha7ufTSS1m0aJFI3XKGEU6o1LZGONoepbYtwpHW9LwtSmOw70JmALJkPpyZUuRhcqE7Lc09VBe5KfLaexXPfPsvD7JxzdMUV1Vz9w/+e9C1BYZK8M2jBF89glLiouSri5CG4fdwJGmLtbHm0BqeOvAUtcHaTL/H6mFl5UqunXwtS8uWDs9r/AKBQCAATEneFGnKSPHjoePUR+ozsrwl1oJxgtzhbqubid6JpiDPluXeSopcRcjSWXy9pOtmfvZgXZZYr0+L9s6+ekhFB3c8mzcd0Z4l1ruljikDVwGIa1SBQCAQCASnASHRh4CQ6IPAMOCtH8DbPzSXF38Grv0xjHDkjWEYxHfvJrz2LcJvvkl89+6ulbKM+7xleK++Gu8VVwwpz3k2mqqz76NGNr18hGBLDACn18q5V1cx96IKLNaTu4A3NINUU8SU5mlxrrZEe9V/kj1W7FNy0lMuSpGzl7DMJppUeXZLPX9eV8vexlCmv9Bj56YF5Vw3r4wFE3IBgz179vDee+/R0GCmmnA4HKxYsYJly5Zhs4kCUuOVQDRFbVskI8c750faIrSGkwPum+eyMqXIk4kqn1LkprrITWW+G9sQindGgwF+/5XPkozFuP5r32LG+Rec6sfqEz2m0vDD9RhxjfyPz8C1cGxGo/fEMAx2t+/mpcMv8XLtyzRFmzLrfDYfF064kEsmXsIF5RfgsXlGcaQCgUAwtknpKZqjzTRGGmmMNNIUbcq0O5fb4+0nPI5TcVLhqaDcU06Fp6JX22fzDXj9JTgBhgHxQJdQD9b1luzB+kHmaAdkBTyl4C0xpbq3ND2VpfvTbVc+iP9vAoFAIBAITgEh0YeAkOgnQNfgxW/AxgfN5Uu+DRd/c8QuWPVkkuhHHxF6803Ca99CbWzsWinLuJYswXdNWpwXFJz0eZJxlb3rGtjy6lHCHWbaFofbyvyVE5l32QRsjsFHiuoJjVRjhFRDhFRD2Jw3RjCSeq9tLfkObBO92Cf7BiXN+8MwDHbVB3lq83Ge21pPW8SUpzI6C90B5iqNSIkwAFarlfPOO4/ly5fjdIpclWOdhKpR749zvCPKsfaYOe+IcbTdFOX+6MCvVBe4bUwqcFFV4GZSgZuqQheTCtxMyneR5x6+hycfPPEw6558lPzyCXzyP3+BbBmZh2rBtUcJvnLEzI3+9XORhiD7xwK6obOleQsv1bzEq7Wv0pHoKnisyApLSpZwycRLWFGxgkpvpZA4AoHgrCGhJWiJttASa6Ep2kRTpLcgb421njCKHMBusVPuKTfFuLuCCq8pySd4JlDuKSfPnie+X8cCyYiZHiYTzV7fXbwH6830MoP4fw6AxZYl20u7hHu2aPeWgjNPyHaBQCAQCAR9IiT6EBASfQDUBDz9Odi9GpDguv+EJZ8d1lMYhkHq6FHC779P5P0PiK5bhx7teh1UcjrxXLACz6WX4bn4olMS5wDB1hjb1x5nz/v1JOMaAK4cGwuvqGTOhRVYByjWqcdV1JYYqdYYaksUtTlKqiGC2h7v81pfsluwTfR2TZXeTHqW4SSl6by2tZa3PvgIqfUwTsmUrHHDwmHKyK+azYpZFVw0rZBJBaLQ4WiT0nQa0pL8eEeMY53zdnPeFIpzom/mYq89LcldVBW6M9K8ssA1LEU9B0MiGuV3X/4M8XCIK+//CudceuWInEdPajT+aAN6OEXuTdV4zi8fkfOcDjRdY1vLNt469hZrj63tlvIFoMxdxnll53Fe2XksLVtKobNwVMYpEAgEp0I0FaU11kpLzBTknaK8c94abaU51kwoGTrxwTCLd5a4Sih1l2ambsuuUnLsOUKSnyloKQg3Q6gRwo1mRHsoe95ktqMD57LvhsXeI6q9h2z3lJiTM0+kkREIBAKB4CxDSPQhICR6P8SD8Nc7ofZdM8rj1t/CnFuG5dBaIEDkw4+IvP8+kQ8+IHX8eLf1SlERnssuw3vZpbiWLUN2OE7pfLpucHxvOzvfrqN2e2tGUOaWuJh/2QRmLi9DsVowDAM9kkLzJ1A7EmgdcdTWGKmWGGprFD3UfwSw7LVhLXNjK3NjTU9KkWtEczgbhsGRI0dYv349e/fuRdfNyHe7y004p5pXm1y0RLVu+0zMd7JkUj6LJuVx7qQ8ppd4sYzxPNPjCV03aIskaQjEaAjEafDHaAjGafDHaQzEqfPHaAjE0E/wzeu0WpiQ52RCnpOJ+S5zntclzF22sZFTe+Oap3n7Lw/iysnlvp/+FrvLNSLnCa+rx7/6ELLHSuk/LEG2jeMiblnUBGp4+9jbvH38bba2bEXVuxd4nZo7lUXFi1hQvIAFRQuY4J0gJJFAIBgVklqS9ng7bfE22mPttMfNqS3WZorxWCvN0WZaY62EU+FBH9dusVPoLKTEVUKJu6RPQZ7vyBfffYLeqEkIN2XJ9r6EeyPETpzuJ4OsgLsYPEVpsV7cJdjdRV1tTzHYvSK6XSAQCASCMwAh0YeAkOh9EG6Gv6yCxu1g88AnHoEpF5/04dSODmKbNxPdsJHoxo1mbnM9K9WJ1YprwQLcK1bgXrECx5zZw1KoMNgaY8+6BvZ+0EC4I4FNAocEE6t8TJmRR67XagpzvynMNX+iV6HPnsheK0qhC2uRE6XIibXUFOYjEWHeH4FAgO3bt7Nt2zZaW7uicCorK1myZAmzZs1CURQ03WBXfYB3D7Tyzv4WNh3pQO1hbz12hQUTc5lT7mNmmZdZZT6mFHqGlB/7bCGW1GgJJWgOxdPzBPWBGI0BU5I3BGM0BRIktYF/hsAsCjsh18mELEGeLcwL3LZxIQzUVIo///3f0NFQz7nX38Il93xmRM5jqDqNP9mE1h7Hd8UkfCsrR+Q8o0k0FWVL8xY+bPiQDxs+ZG/73l7b5DvyWVC0gAXFC5hbOJfpedPJseeMwmgFAsF4Rzd0golgRoz3lOPdplg7odTgosY7cSpOipxFFDoLKXIVUeQs6nPutXrHxd87wTgmFe+S7aGGdLuHbA83D022AyjOLNmeLdyL0yK+s68YrCKdokAgEAgEYxUh0YeAkOg9aK+Bh26BjhpwFcLdT0L5wkHvbhgGakMD0S1biG7cSGzjRhIHDvbazjZlSlqaL8e9ZAmye/BpRgzdwIir6FEVPdZ9SvrjtB8NEaqPoIWSOCQJuwx2CeRB3qTJPhtKrh1LngOlwIFS5MJaaEpzeQi50oeTWCzGvn372LZtGzU1NZl+q9XKvHnzWLJkCaWlpQMeI5xQ2VjbzuajfjYf6WDL0Q4iSa3XdlaLRHWRh+oiD5UFLqoKXFTmmxHQpT4H8hkSuW4YBsG4SkckSUc0iT+aoiWcoCXUY0r3hRPqiQ+KGZRU5LFTluukzOegLNdBWY6Dshwn5bkOJua5KPTYz5h/x5otG3n6P76HbLFw749+TsGEiSNynujWZtr/ug/JKlPy9XNR8k7tDZWxTnu8nU1Nm9jWvI2tLVvZ3bablN77bZgKTwUz82cyM38ms/JnMSN/BiWuEiGlBIKziJSWwp/wZ6ZAIjBgO5AIEEgE0Ize1wADoUgK+Y588p35FDgKyHfkk+fI61OQu61u8T0kGF+oSYi0QKTZlOrhpvTUnDWllweZiiiDPadLuLuL0lNheioy77k6+xy5IqWMQCAQCASnESHRh4CQ6Fk07jAj0MNNkFsJ9zwLBdUD7qL5/cR27iK+Yzux7TuI7diB1to7R6GtuhrX4sW4Fp+La/FilJJS9JiKEestwjsnc12qd398aDd9GSSQXVYsXhuy15xb8hxpYW5HyXVgybWPmcKFoVCIffv2sWfPHmpqajLpWgCqqqqYP38+s2fPxm63n9TxNd1gX2OIrcf87GkIsrcxyN6GEKEBZLHNIlPss1PstVPsdVDss1Pic1DosZHjtOJzWPGl5zlOKx6HMmLpYlRNJ5LUiCRUwp1TXCWSUAklzHk4bvZ3RJO0R1L4o13C3B9LoZ0or0oP7Ir5+Ys8doq89owYL81xUp7joDTHQYnPgdUyNn6GThfP/OhfOLxpPZPmLWTVd/5lRMSJYRi0/HYHyZoAjjkFFN4ze9jPMZZJaAn2tO1ha/NWtrVsY0/7HurCdX1u61ScTM6ZbE6+yZl2pa8Su+Xkvi8EAsHIktJShFIhQklzCiaDmXZ2XzAR7CXFo2r0xCfoB6/NmxHiBU5z3jn1XPbZfEKMCwQAyejgZHu4CbTE0I4tWbrkuruwu2DP9BeBq8Cci7QyAoFAIBCcEkKiDwEh0dPUvgeP3gGJIBTPgbufAl9ZZnVnhHl83z4S+/aT2L+P2K5dpI7VI9ncSFa3Obe5weHFVj4J64TJWArLsHjyMTQZPZrKRI8biZMU4VnoskTKMIirBinDIGVASgfFa8VX4aFwei7uMg8WjxWLz4bstiKNYbmp6zoNDQ0cOnSIAwcOcOzYsW7ri4qKmDt3LvPnzyc3N3dExmAYBsc7YuxrDFHbFuFIW5Qj7VGOtkU43hHrlQ5mMNgUGXtmsmSWbYrc/Wa8x9eRbkBS1UlqOklVJ6HqJFUts3wSQ+kTl81CnstGrstKYVqOF3m7RHmxt6vPY1eEQOgDf2MDf/zGl9BSKa75m68z+6LLRuQ8qcYITT/bDDoUfGoOzpn5I3Ke8UIgEWBf+z72tu9lb/te9rTvoTZQi2r0/yCs2FlMuaecck85FZ4KKjwVmXaJu0RIdoFgiBiGQVJPEklFiKQiRFPRTDuSihBOhQcU46FkiFAqREyNndI4ZEkmx5ZDjj2HXHsuufZccuxdyz37c+255DvysVpOTzFqgeCsxDDMe6ts2R5pTUe8t6TbrV3tRGDo57DY+4hqT0+uAnDmm3NXeu7IBcvYqK0jEAgEAsFYQEj0ISAkOrBnDTz5GdASGBPPJ3XpT0kcbSd+sI7U0RZSjR1oHRGQHEh2H5IjB9nuNdunmONPssnITgXZaUVyKul21uRSwG4hFE7R2hyjqS5M/ZEQ4ahK9g9vUaWX6kVFVC8qJrd4ZIobDjeGYdDW1saRI0c4dOgQhw8fJh6Pd9umoqKCWbNmMXPmTAoLC0dppCaqptMQiNMcitMcNHOCN4fiNAUTtIUThOIqwXiKQCxFMKYSS536g5LBYLVIeOwKHoeC26bgdSi47Qoee7ptU8hzm5K8U5bnuWyZtsN6ZhSpHG0+euZx3vvrn7G73HzyP3+Bt2Bkfl79zx8m/F4dss9G6dcWIbuEAMompac4HjpOTaCm1zSYnMY+m8/MY+wqNFMzZOU0LnQWdhNwNsvpqwUhEAwHhmGQ0lPE1BgxNUZcjZtzLZ7p6ynBM3Jc7d4fTUUJp8JEU9EBH1wNFY/Vg9fm7Tb5bL5u7b6kuNfmRZbGbqCAQCAYBGoCom29BXs0S7Rnr0tFTu48jtwuqd5Nsuf3lu7OdL944CYQCASCMxQh0YfA2SzR4w2tPPeLx/CGA3g0BY/hwSnn4bQXYRlKNKIEsssU4eZcQXZZMxK8c1ly9RDkDqVX6hRdN+hojNB6NETL0TAtx0I0Hw2h9ohctzksTJydz6S5BVTOKcCdM/ajJxOJBA0NDRw7diwzxWLdI8/sdjuTJ0+murqa6dOnk5MzfosGJlWdUDxFIh1FnlC1rIhyc3mgbyBJAqulK3rdZpG7RbHbLDIuuwW7IiT4WEDXNB79f39P48H9VM1fxK3f+t6wFAjudZ6kRvPPtqC2xnAuKKLgEzOH/RxnIoZh0JHooD5cT124rtu8sx3X4ic+UBZOxdkV5ZqOgO2UeR6rB5fVhdvq7tV2W93msuLGIovf37MZ3dBJaAmSWpKkljTbelZb697OXh9X48S1eEaE95Ti/fXrxomLP58sTsWJ2+o2f8aVrp95n71LgnutvcV45+SxesTvhEAgGDzJaA/B3iPKPdYO0XZTzMfaIX4Ske6d2H39SPY8U8o788CZm25nzYV8FwgEgjGDkdLQgkm0QBItlDDb6UkpdJJzxaTRHuKoICT6EDibJfqxJ//K73fu7dUvGeDAhsOw4kTBpdjxujz48vPw5OTgyfHiy8/BW5SDu8BnyvBB5r02DINEVCUSSBDxJwi3J/A3R/E3RfE3xwi0RNHV3j+WdpdCWXUOZdNyKZ+WS1GlF8sYTc1iGAaBQICmpiYaGxsz8/b29l7bKopCeXk5U6ZMobq6mvLyciwWcQMtGJ+01R3jL9/8KmoqyQWfuJdlt3xsRM6TOBqk5VfbwIC8j03HvahkRM5zNmEYBsFkkNZYK83RZlpjrbTEWmiJtmTabbE2syBhMjBsItIm27ArdhwWBzaLDYfF0eey3dJ9UmQlM1llq9mWlG793db3WGeRLcjIyFLXJElSpk+SJLOfrHbn1KNPQuoWAWyk35Pq7xKrr/UGvds999cMDd3QM1P2smZo6LqOTj/LuoaBkenXjPSyrmW2V3WVlJ5C1VVzMtRMX7f+nttlbZ/SUqSM3tv2lOFJ3Wyr+vBFcA8VRVZwKk6cFicOxYFTMec9JXjPqfOBkFvpWvZYPTgVpxDgAoFgbKOpEOvokurZgj3aBtGOHsvt5vacgjKweXqL9V6yvVPAZ4l4R45IOyMQCASDwNB09EgKLZRCCyXRw0m0UCo9z26nMOID1L+b5KP4i/NP48jHDkKiD4GzWaLXHazn1QefJCKpxGSNhJRElVIwhJTPEhJWiwO74sSmOLBaHFhlBzbZjkWyI6kKelJGT1jQ4jKJkIaaGli+WO0WCid6KJropajSnPLK3MgjVKDyZEilUoRCIYLBIO3t7bS1tdHe3p6ZUqlUn/t5vV4mTpyYmUpLS1EUcYEoOHPY8earvPqbn4Ekserb36dq/qIROU/gtSOE3jgKikTx/fOxTfCOyHkEvdENnXAqTCBuFjUMJAPdihyGk+He6TDUrvQXkVRkVOWpYGwiSzJ2ix2bxYZNtmGz2DIPTawWa2adXU5vY7GZEjw9ORQHDouj23L2PFuW2xU7VllERwoEAsEJ0TUzgr1TqveS7O0Q80Pcb84724ngqZ/b7ktL9hyw54DDZxZStfvS7ex5Tu9+m0cUXRUIBOMOQzcw4ipaVEWPpMwpmsqIcj2cRAt3CXM9MrT7KskqmzUDfTYsPjsWnw2Lz4ZS6MQ5q2CEPtXYRkj0IXA2S3TAvDCSLRiGQag9TuvxEE3H2mlv8ePvCBIMhohGI6hGAl1OmpMlhS4nMeSTkCCGjKwrWLCiWOzYrXZcLhcenxtvrpucPA++PDd2hx2bzYbNZsNu796WZXnYijvquo6qqqRSKVKpFIlEglgs1muKRCIEg0FCoRChUKhXGpaeyLJMYWEhpaWllJSUUFpaSmlpKW63e1jGLRCMZV79zc/Y8earONwePv79H1I4cfhfCzN0g7Y/7ya+tx2Lz0bx3yzAMg7SOglMklqScCpMXI2T0BIktES3dudyUksS19L9ate6viKme04pPdXvOtVQwSATkd0Z0W0YRiZ62zDS/ZhtzTg9dR5OhEWyIEkSFsmCLMmDWs6OpM9ezm5bZSuKRcEqWfuO9O+jr2eUf3/bZuR4WoJni/HOdYosHigLBALBGYOmmiI91pEW6x1Zsr2ju3iPB7r3JcPDMwZJTkv3nD6ke4+53Qd2jyneO+edbasbRiBFoUAgOPPpFOJ6XOsS4X3J8YiaaevRFAz1pV8ZZLcNi9eK7LFh8dqweKzIPeYWnx3JYRk2n3amICT6EDjrJfogMAyDVEIjHk4RC6WIhZMkIikSiRTRaIRINEI0FiWRjJLU4iTUOMlUjEQqRkpLklITJFIJjGHMQ2qxWPqdJEnCMIzMq/Cd7c5J07SMNNe0k5ciiqLg8/nIy8sjPz+fgoKCzDw3N1ekZRGctajJJI//63do2L8XT14+n/iXH5NTPPwpV/S4SvMvtqK2xFAKnRR9fh4Wnyh2KRg5eor17PQq2RejUh+vdPW1vr99Mu2sw3QKb4FAIBAIzmi0VA/J7jeFfDw4wDzQfXm4H3xb3Vly3W3K+Yxwd4PNm9X2dK23de7nTa9zgdUFFpuIkhcIxgmGpqPH1MxkxFT0uNqjT0OPpbr64hp6VMVIqCedEUuyW5DdZt1Bi9tq1h30WrF4bF1S3GtD9pjrBptiWdAbIdGHgJDopwfDMLpFeUej0V7teDxOMpkkmUySSCQy7c7lUxHeg8FiseBwOHA6nZl55+RyufB6vfh8vszc4XCIJ3gCQT/EwiEe/963aD12BF9RCau+833yyycM+3nU9jgtv92O5k+gFDkp/PRclHzHsJ9HIBAIBAKBQDAOMAxIRQeW7IlQDxEfgGTEjIJPhNPtEIxUMWrJYkp1q9OU6lZXWrA7TWFvdXYJ937X97V/elIcInpecFZjGAZGUsdIaOgJFSOuoSc0jIQpuM3+Ppbjarq/az/jBOmIB4NklZFdiinC3dbucjyzbM4tbnM7SRG/w6cLIdGHgJDo4wdN00gmk6iqiqali6NpWq9J182IwOwJyLQtFgtWq7XbpCgKsrjQEAiGlXB7G499/1v4GxtweLzc9I1/ZMKsucN+HrU9TstvtqMFEsguhfw7Z+KYmjfs5xEIBAKBQCAQnCUYBqRipljPyPW0YE+Eegv3TDvctT4ZSfen15/O1HAWGyhOUOymVLc6utqdk7Wzbe/a1ursY7u++rL2tdi6JsUOsiIi7QUnxDAMUA30pIaR0kzpnTTnekrLtDN9PbdLmXO923ZaRoKfSk3kvpDsFmSnkpkkp4Ls6FqWXeaylLVNZlshxMc0QqIPASHRBQKBYOSIBgM8+8N/oeHgPiRJZtmtH+e8Wz+OZZgL6qqBBG0P7SZ1PAwSuM8rI+eqKmSHyLMsEAgEAoFAIBgDaClTrKdiZrR8KgrJaN/tzHIMUul9+tw3a70aH+1P2IXFBhY7WKxp0W7to8+W7h9Knw0UG8hWU9ZblKx2ep5pW0G29NPua9+zNx2roRug6aaYVvuZD7RO1eEE67vmXdJ7uEV3LySQ7Aqyw2JKcLsFyaGY885lu8WU39nrbRYkR9ayQ0GyiAdDZypCog8BIdEFAoFgZEkl4rz2f79gz7trASiYUMlFd32ayQsXD2tKJCOl07H6INGNTQDIbiueC8rxLCtDdlmH7TwCgUAgEAgEAsGYQ9dMua4mTKGeiptzNQFqrKudimX19dw2PsjtsvsTjLwNPR1IQxTwipmaR7aYhWxlS9ayBUOymNtgxZCsgIKBFQMLSFYMSQFDMedYMFAw9PT2WDAMBQwLRnrqassYugUMGUOXMQwZdBnDkDD0dFuXMHQwdAm0rLZuvhBh6JL5YoSWzlo0QpmLBo1FQrJZkG0yks1iTla5d59NRrJm9VnTfdnbZUlxySqLFLz9YOg6qUScRDRKIhpBtlhGJP3qeEBI9CEgJLpAIBCcHvZ+8A5v/P5XxMMhAIonV7PgyuuYft4K7C73sJ0nftCP/9mDqK0xs0ORcM7IxzGnAPvkHJQ8kTNdIBAIBAKBQCAYNjQVtCRoCQw1CWoSUgmMVCot2lMYqQSkUqCl0tukIJXC0FRzvaqa0fqqmu5TQdPSbQ307LZZ5B3NMNu6AbqBYQD9tY20SDYkUzynxbU5t5hCG0vXMlnLhtKjX+5a320/BZDT8/H6RqyGRAKJlDmXUkgkgSQSSSQpPe/ZHmC5574ycSQpgUTcnCTDfBAhSZjh4z3m0P+6jCPva500xHWc5H59retnm74+SzbdpH9XWzdA1SWSGiRVSGlSeg5J1exP9bkOkppESiWzb1KFhNr9tJVlbm7/6WP9/1icwQiJPgSERBcIBILTRzwcZv3qJ9jy0hrUVBIA2WKhYuYcquYvorR6OiVTqk9ZqhuaTnR7K+G3j5NqjHRbZ8mxoZS4sRY6UQocWHLs3Qq8yHYFlK56CgKBQCAQCASCvjEMwwxCNjD/0ykrO1WDgZlfPKudsRCd+2a1jez+Hvv2d0yjj3MMuI9udhh9jLtzLL3G2Dm+nst6P+v1PrbXe++PYWQdI+vchtH3Mfo4Z7d90uc2Tri+j3PqRu99ssegpz9D53a6kY5iNro+R+fYBP0j6UiyAZKRlse6OZc1JElHknSQNCRJQ5I1JHSQVSQ0JEkFKauNiiSpaeGtAimz3bku3S+RSm+bQjJS3baTSIKRFuYkzeMYevpnQe8xZZ5G9DNl/yKdeZhp3GV0Q0IzZLR+52Zb1WVUQ0bVLaiGTKrHcud6s9+StX2P7dLHHAlkdOwWjYoChZv+94UROcdY56yT6L/4xS/48Y9/TGNjI/Pnz+d///d/Wbp06aD2FRJdIBAITj/RYIBdb73OzrWv0V5/vNd6T34BOcWl5JaU4isqwZOfj8uXiysnJzO3OpwnFN2GYZBqiBDb3kr8kJ9UXdi8uD8REkiKnHllUFJkkCUkGZAlsy1J6TZI6T4kyWynj5GJJOgMRsheR3p9JlCh73VmM93OXtd53L72A5C7Tixl1vfYtmc7e/++F7t3SD3mfR2/2y4Dnb/vfXt19/y8QzrGye/bed6em48LRmysI3Dg8fTvOhC9vmaMAdYNYdOel+4DHWvYxjBM5xzqvlmf9USHHbExZHWc8K7J6Hehj8820HH6XzngGE40QKNnu0t0Gd3WZwmwbInYx3GMfvq7ycwe6/vcZ4DjGP3093sMg977nGicPTY50fG7b2b0+Tn7Oo7RT39/x+/8H2P0efx+ztv5b5YtTOlqG/TdD6b/ymyU9dm6fc5ebYHgJJDpumZOX0/3vsbueX3dc316m0y783hZ+8mSefmWvV6WzNzWluxluau/37k8wPqu/fs8h0VCkmWwSN2v3c8gDMPAMHQMXUfXNNB0dE3FSL89YOgahq716Etvo6XQVLNPV1U0TcXQNHRdQ1dV9PQxdU1Nz7OmzLr09um20a2/j7auoWs6mqqiqRqapqXb2ctmn65pqGrX/qONJElYbQo2mxWrzYrNbsVmtWK1W7Fl+rPWZ7etClabgt1hw263YrPbUBSL+TPpKoDqS0f7440KZ5VEf+yxx7j33nv59a9/zbJly/jpT3/KE088wb59+yguLj7h/kKiCwQCwejS0VhPzeYNHN+zi6aagwRbmge1n8VqxeH2YHO5cbjc2Fwu7G5Ppu1we7A5nSg2O4rNhmK1ochWLEELlqiEFAGCGkR1jJiGEdchMfoXRgKBQCAQCARnHZlggZ6BA1l9ZGc/GHi7nsfryrLQM/igj3l/AQPZQQ2Z7Yw++nuMr+eY+jsmvdcbWctS53KvcaW37dVvpMdhZPqN7H26LZtqKPt85nGMrOMaIIORCfQw0mM0un0WAyNzzG7Hz6yTej04yjwyy34LIN3X9TaBkb1L1jG6+o205OyUul2R/Ea6L90mHTlPH+s62wMczzAGu6/5eXrtm97f0LuPJfs4fR2v80FYX2PJ7KPr6Ol0N4aud8ltXQfdSK/T0+u6tsdI76f33s/cTstaZy53rjvxk+YzE9miYLFasShZc8WaaSs2W/d7Ubs9s2zNrEuvt9mw2rsv97f+THwQM5qcVRJ92bJlLFmyhJ///OcA6LrOxIkT+fKXv8y3vvWtXtsnEgkSiURmORgMMnHiRCHRBQKBYIwQDQYINDXib24k2NxEoLmRSMBPLBAgGvQTCfhRs77HhxMJCYtkNWW7pGCROucKsiQjISF1m8td/Vl95r1TZ9yzlDm22S317uu8m5HoY590FE3Pvs7tpJ7Hydqqj3P1/LxZp6P72bu3eh2jZ2R2f9sO4ti9x9b5b9XfsQdxjH7Gdyr79j/eMcwghzo2PtPIjGHkPllanvRDrwjuHmt7twaxba+N+97bGGCduWaAs/Y4yUDHMnotDOWcA/wbDBSNPYRQ8oGWukUUDyGk9uTPz7B8rt5bndzn6lqX9X+4m6Ay+ti2x5LRc+0A+xgnWN/jmIMaR0/R1kdodk/ZNvjP1nubPj9nZrtBHN/o79+qj32MbksDjrlruN3H0Hkcc/vsf6Ou/x/dts18nt79XWPPmmd99m5rsz5nt3P3d2yBQHB2IEnIslnoU5LN6GdZsSDLFmSLBdmiIFvkrrYsI1ksWCwKksVirpMtyIq5rmsfi7msKMiyJb2PJb1Pup05R/akYLGmpbfShwhPL8uKgmI1t+lsy+n1QmafGQxWoo/XKgcZkskkmzZt4tvf/namT5ZlLr/8ctatW9fnPj/4wQ/4/ve/f7qGKBAIBIIh4vLl4PLlUDZtRr/bpOJxosEAiWgkPUVJRMLp6uLpeSRCMhZFTSZQUynUZBLt/2fvvsOjKhM2Dv+mpfceIKGFTuggiAKCUsQuYhdw10XFXtbFz7buqiuWteuqK+oqNuwoIiKgdATpvQZCeu/TzvdHTCRCIKGdlOe+rrlm5pwzM88UyMwz77zH5cTtdOL+7djjdtccVfHbqIsKbxmGR6PSRURERA5Rx+Ko5pfvf1zzxy/bj3RzdS2qjr7dH0ek/56jeiRDzWUHX6bGgAhqbm/5w2X+cIN/vA+VU/UdfttDsx10mao1td6PQ7c9JNeRMtV2H+p4O4fNdaTH/ODLHPz41vG5+ON9qXpcLZbf929ksVqpeswsFmvlAJTfdmJpqV7P75f54zGV07JU3Zfqyx58fVRN6fiH26+R5fdtDr2s9aCsh2b5/fVycJaD19W8b1arFcvBhbXV8tv5P677fRlWy0Hrft+mctmh11Fdih98qC7KD17+20AjFc7SyDX6Ej07OxuPx0NsbGyN5bGxsWzZsuWwl5k6dSp33XVX9fmqkegiItJ4OPz8CPXzO+m3c/BPHA2v56AVf9juDyPNDnPykAvWOpfsEa+v7qNHT6Um8MO2Y2bqfTf5cTd1FKGpD7vZr3eDuhVFdWmm6naLdfqlQh1u70R+gK7b/WuYt1e3x7NOV1XHx7QexeIJ2PBE3r8Td3t1fG7qtNkJfK3X6aE6kfdPJZaIiMixaPQl+rHw9fXF19fX7BgiItIIWCyW6p8CgsPsOCIiIiIiIiJyilnNDnC8oqKisNlsZGRk1FiekZFBXFycSalEREREREREREREpClo9CW6j48Pffv2Zd68edXLvF4v8+bNY9CgQSYmExEREREREREREZHGrklM53LXXXcxYcIE+vXrx4ABA3juuecoKSlh0qRJZkcTERERERERERERkUasSZTol19+OVlZWTz00EOkp6fTq1cvvvvuu0N2NioiIiIiIiIiIiIiUh8WwzAMs0OYrbCwkNDQUAoKCggJCTE7joiIiIiIiIiIiIicZHXthRv9nOgiIiIiIiIiIiIiIieLSnQRERERERERERERkVqoRBcRERERERERERERqYVKdBERERERERERERGRWqhEFxERERERERERERGphUp0EREREREREREREZFaqEQXEREREREREREREamFSnQRERERERERERERkVqoRBcRERERERERERERqYVKdBERERERERERERGRWtjNDtAQGIYBQGFhoclJRERERERERERERORUqOqDq/rh2qhEB4qKigBISEgwOYmIiIiIiIiIiIiInEpFRUWEhobWut5iHK1mbwa8Xi8HDhwgODgYi8VidhwREREREREREREROckMw6CoqIgWLVpgtdY+87lKdBERERERERERERGRWmjHoiIiIiIiIiIiIiIitVCJLiIiIiIiIiIiIiJSC5XoIiIiIiIiIiIiIiK1UIkuIiIiItLETZw4kYsuusjsGCIiIiIijZLd7AAiIiIiInLsLBbLEdc//PDDPP/88xiGcYoSiYiIiIg0LSrRRUREREQasbS0tOrTH330EQ899BBbt26tXhYUFERQUJAZ0UREREREmgRN5yIiIiIi0ojFxcVVH0JDQ7FYLDWWBQUFHTKdy7Bhw7j11lu54447CA8PJzY2ljfeeIOSkhImTZpEcHAwSUlJzJ49u8ZtbdiwgTFjxhAUFERsbCzXXnst2dnZp/gei4iIiIicWirRRURERESaoXfeeYeoqChWrFjBrbfeyk033cRll13G6aefzurVqxk5ciTXXnstpaWlAOTn5zN8+HB69+7NL7/8wnfffUdGRgbjx483+Z6IiIiIiJxcKtFFRERERJqhnj178sADD9ChQwemTp2Kn58fUVFR3HDDDXTo0IGHHnqInJwc1q1bB8BLL71E7969efzxx+ncuTO9e/fmrbfeYv78+Wzbts3keyMiIiIicvJoTnQRERERkWaoR48e1adtNhuRkZEkJydXL4uNjQUgMzMTgLVr1zJ//vzDzq++c+dOOnbseJITi4iIiIiYQyW6iIiIiEgz5HA4apy3WCw1llksFgC8Xi8AxcXFnH/++Tz55JOHXFd8fPxJTCoiIiIiYi6V6CIiIiIiclR9+vTh008/pU2bNtjt+hghIiIiIs2H5kQXEREREZGjmjJlCrm5uVx55ZWsXLmSnTt3MmfOHCZNmoTH4zE7noiIiIjISaMSXUREREREjqpFixYsXrwYj8fDyJEjSU5O5o477iAsLAyrVR8rRERERKTpshiGYZgdQkRERERERERERESkIdKQERERERERERERERGRWqhEFxERERERERERERGphUp0EREREREREREREZFaqEQXEREREREREREREamFSnQRERERERERERERkVqoRBcRERERERERERERqYVKdBERERERERERERGRWqhEFxERERERERERERGphUp0EREREREREREREZFaqEQXEREREREREREREamFSnQRERERERERERERkVqoRBcRERERERERERERqYVKdBERERERERERERGRWqhEFxERERERERERERGphUp0EREREREREREREZFaqEQXEREREREREREREamFSnQRERERERERERERkVqoRBcRERERERERERERqYVKdBERERERERERERGRWqhEFxERERERERERERGphUp0EREREREREREREZFaqEQXEREREREREREREamFSnQRERERERERERERkVqoRBcRERERERERERERqYVKdBERERERERERERGRWqhEFxERERERERERERGphUp0EREREREREREREZFaqEQXEREREREREREREamFSnQRERERERERERERkVqoRBcRERERERERERERqYVKdBERERERERERERGRWqhEFxERERERERERERGphUp0EREREREREREREZFaqEQXEREREREREREREamFSnQRERERERERERERkVqoRBcRERERERERERERqYVKdBERERERERERERGRWqhEFxERERERERERERGphUp0EREREREREREREZFaqEQXEREREREREREREamFSnQRERERERERERERkVqoRBcRERERERERERERqYVKdBERERERERERERGRWqhEFxERERERERERERGphUp0EREREREREREREZFaqEQXEREREREREREREamFSnQRERERERERERERkVqoRBcRERERERERERERqYVKdBERERERERERERGRWqhEFxERERERERERERGphUp0EREREREREREREZFaqEQXEREREREREREREamFSnQRERERERERERERkVqoRBcRERERERERERERqYVKdBERERERERERERGRWqhEFxERERERERERERGphUp0EREREREREREREZFaqEQXEREREREREREREamFSnQRERERERERERERkVqoRBcRERERERERERERqYVKdBERERERERERERGRWqhEFxERERERERERERGphUp0EREREREREREREZFaqEQXEREREREREREREamFSnQREREROWWGDRvGsGHDqs/v2bMHi8XC22+/fUJv52Rd76k2ceJEgoKCzI5x0ixYsACLxcLMmTOPuu3EiRNp06bNyQ/VQDSV17CIiIhIU6ASXURERESOyGKx1OmwYMECs6M2CosXL+biiy8mNjYWX19f2rRpw+TJk0lJSTE7WrPyyCOP1Hj9OhwO2rRpw2233UZ+fr7Z8Q7r22+/5ZFHHjE7hoiIiEizYzc7gIiIiIg0bP/73/9qnH/33XeZO3fuIcu7dOlyKmMdUevWrSkrK8PhcJgdpYYXX3yR22+/nXbt2nHrrbcSHx/P5s2befPNN/noo4/49ttvOf30082O2ay8+uqrBAUFUVJSwrx583jxxRdZvXo1ixYtMjvaIb799ltefvllFekiIiIip5hKdBERERE5omuuuabG+WXLljF37txDljcEbrcbr9eLj48Pfn5+ZsepYfHixdxxxx2cccYZfPfddwQEBFSvu+mmmxg8eDDjxo1j48aNhIeHm5j0UAc/rk3NuHHjiIqKAmDy5MlcccUVfPTRR6xYsYIBAwaYnE5EREREGgJN5yIiIiIix83r9fLcc8/RrVs3/Pz8iI2NZfLkyeTl5dX7uv44b3qVP86JXTVn9NNPP81zzz1H+/bt8fX1ZdOmTYedT/pYrvfll1+mXbt2BAQEMHLkSPbt24dhGPzjH/+gVatW+Pv7c+GFF5Kbm3vU+/WPf/wDi8XCO++8U6NAB2jfvj3Tpk0jLS2N//znP4dcdteuXYwaNYrAwEBatGjBo48+imEYNbb58MMP6du3L8HBwYSEhJCcnMzzzz9fY5v8/HzuuOMOEhIS8PX1JSkpiSeffBKv13vUx/XXX3/Fbrfz97///ZB8W7duxWKx8NJLLwGQm5vLPffcQ3JyMkFBQYSEhDBmzBjWrl172MfG4/Fw//33ExcXR2BgIBdccAH79u076mN6Il93Vc4880wAdu7cWWP58uXLGT16NKGhoQQEBDB06FAWL15cY5uioiLuuOMO2rRpg6+vLzExMZxzzjmsXr26eps2bdowceLEQ263ttdnlYkTJ/Lyyy8DNadYqlKX519EREREjo1GoouIiIjIcZs8eTJvv/02kyZN4rbbbmP37t289NJL/PrrryxevPikTqsyffp0ysvL+ctf/oKvry8RERE1SuFj9f777+N0Orn11lvJzc1l2rRpjB8/nuHDh7NgwQLuu+8+duzYwYsvvsg999zDW2+9Vet1lZaWMm/ePM4880zatm172G0uv/xy/vKXvzBr1iz+9re/VS/3eDyMHj2agQMHMm3aNL777jsefvhh3G43jz76KABz587lyiuvZMSIETz55JMAbN68mcWLF3P77bdXZxg6dCipqalMnjyZxMRElixZwtSpU0lLS+O5556rkeePj2t8fDxDhw7l448/5uGHH66x7UcffYTNZuOyyy4DKkv/L774gssuu4y2bduSkZHBf/7zH4YOHcqmTZto0aJFjcs/9thjWCwW7rvvPjIzM3nuuec4++yzWbNmDf7+/rU+rifjdbdnzx6AGr8G+PHHHxkzZgx9+/bl4Ycfxmq1Mn36dIYPH87PP/9cPWL9xhtvZObMmdxyyy107dqVnJwcFi1axObNm+nTp0+9s/zxvh44cOCwUynV5fkXERERkWOnEl1EREREjsuiRYt48803ef/997nqqquql5911lmMHj2aTz75pMbyE23//v3s2LGD6Ojo6mVVRejxSE1NZfv27YSGhgKVZfYTTzxBWVkZv/zyC3Z75VvprKws3n//fV599VV8fX0Pe13bt2/H7XbTs2fPWm/P19eXTp06sXnz5hrLy8vLGT16NC+88AIAN998M+effz5PPvkkt912G1FRUXzzzTeEhIQwZ84cbDbbYa//2WefZefOnfz666906NABqCxmW7RowVNPPcXdd99NQkJC9faHe1wvv/xyJk+ezIYNG+jevXv18o8++oihQ4cSGxsLQHJyMtu2bcNq/f2Hr9deey2dO3fmv//9Lw8++GCNbLm5uWzevJng4GAA+vTpw/jx43njjTe47bbbDnt/TtTrrupXBCUlJfz444+8/PLLREdHM2TIEAAMw+DGG2/krLPOYvbs2dWjvydPnky3bt144IEH+P777wH45ptvuOGGG3jmmWeqr/+vf/3rUTPUxaBBg+jYseNhp1Kqy/MvIiIiIsdO07mIiIiIyHH55JNPCA0N5ZxzziE7O7v60LdvX4KCgpg/f/5Jvf1LL720RtF7olx22WXVBTrAaaedBlTOEV9VoFctdzqdpKam1npdRUVFANUlcW2Cg4MpLCw8ZPktt9xSfdpisXDLLbfgdDr54YcfAAgLC6OkpIS5c+fWet2ffPIJZ555JuHh4TWep7PPPhuPx8NPP/1UY/vDPa6XXHIJdrudjz76qHrZhg0b2LRpE5dffnn1Ml9f3+oC3ePxkJOTQ1BQEJ06daoxtUmV6667rsZjM27cOOLj4/n222+PeH9OxOuuU6dOREdH06ZNG66//nqSkpKYPXt29ZQ7a9asYfv27Vx11VXk5ORU305JSQkjRozgp59+qv7lQ1hYGMuXL+fAgQN1uu0TpS7Pv4iIiIgcO41EFxEREZHjsn37dgoKCoiJiTns+szMzJN6+7VNj3K8EhMTa5yvKtQPHq198PIjzcNdVRBXlem1KSoqOqRot1qttGvXrsayjh07Ar+PuL/55pv5+OOPGTNmDC1btmTkyJGMHz+e0aNHV19m+/btrFu3rtYvHP74PB3ucY2KimLEiBF8/PHH/OMf/wAqR6Hb7XYuueSS6u28Xi/PP/88r7zyCrt378bj8VSvi4yMPOR6q0bGV7FYLCQlJR3xFwUn6nX36aefEhISQlZWFi+88AK7d++uMYXM9u3bAZgwYUKt11FQUEB4eDjTpk1jwoQJJCQk0LdvX84991yuu+66Q56/E60uz7+IiIiIHDuV6CIiIiJyXLxeLzExMbz//vuHXV/fUeIWi+WQnWYCNYrYgx1pzuzjud7apsWobfnhrrtKUlISdruddevW1bpNRUUFW7dupV+/frVuU5uYmBjWrFnDnDlzmD17NrNnz2b69Olcd911vPPOO0Dl83TOOefUOr1IVTFfpbbH9YorrmDSpEmsWbOGXr168fHHHzNixAiioqKqt3n88cd58MEHuf766/nHP/5BREQEVquVO+6444TMV191f07E627IkCHV2c8//3ySk5O5+uqrWbVqFVartTrvU089Ra9evQ57HUFBQQCMHz+eM888k88//5zvv/+ep556iieffJLPPvuMMWPGANTYGejBPB7PMU/FUpfnX0RERESOnUp0ERERETku7du354cffmDw4MF1LrSPJDw8nF27dh2yfO/evQ3yeusiMDCQs846ix9//JG9e/fSunXrQ7b5+OOPqaio4Lzzzqux3Ov1smvXrhol97Zt2wBo06ZN9TIfHx/OP/98zj//fLxeLzfffDP/+c9/ePDBB0lKSqJ9+/YUFxdz9tlnH9d9ueiii5g8eXL1lC7btm1j6tSpNbaZOXMmZ511Fv/9739rLM/Pz69RtlepGu1dxTAMduzYQY8ePWrNcaJfd1BZhj/88MNMmjSJjz/+mCuuuIL27dsDEBISUqfHLj4+nptvvpmbb76ZzMxM+vTpw2OPPVZdooeHh5Ofn3/I5fbu3XvUEeu1FfBw9OdfRERERI6d5kQXERERkeMyfvx4PB5P9fQeB3O73YctDI+kffv2bNmyhaysrOpla9euZfHixceV82Rdb1098MADGIbBxIkTKSsrq7Fu9+7d/PWvfyU+Pp7JkycfctmXXnqp+rRhGLz00ks4HA5GjBgBQE5OTo3trVZrdQFdUVEBVD5PS5cuZc6cOYdcf35+Pm63u073IywsjFGjRvHxxx/z4Ycf4uPjw0UXXVRjG5vNdsjI/E8++aTWeePffffdGlPdzJw5k7S0tOri+XBO9OuuytVXX02rVq148sknAejbty/t27fn6aefpri4+JDtq15PHo+HgoKCGutiYmJo0aJF9XMAla/DZcuW4XQ6q5fNmjWLffv2HTVbYGAgwCH3rS7Pv4iIiIgcO41EFxEREZHjMnToUCZPnswTTzzBmjVrGDlyJA6Hg+3bt/PJJ5/w/PPPM27cuDpf3/XXX8+zzz7LqFGj+NOf/kRmZiavvfYa3bp1O+xON82+3roaMmQITz/9NHfddRc9evRg4sSJxMfHs2XLFt544w28Xi/ffvst4eHhNS7n5+fHd999x4QJEzjttNOYPXs233zzDffff3/1lCV//vOfyc3NZfjw4bRq1Yq9e/fy4osv0qtXL7p06QLAvffey1dffcV5553HxIkT6du3LyUlJaxfv56ZM2eyZ8+ew44SP5zLL7+ca665hldeeYVRo0YRFhZWY/15553Ho48+yqRJkzj99NNZv34977//fq0jrSMiIjjjjDOYNGkSGRkZPPfccyQlJXHDDTfUmuFEv+6qOBwObr/9du69916+++47Ro8ezZtvvsmYMWPo1q0bkyZNomXLlqSmpjJ//nxCQkL4+uuvKSoqolWrVowbN46ePXsSFBTEDz/8wMqVK3nmmWeqr//Pf/4zM2fOZPTo0YwfP56dO3fy3nvvVY94P5K+ffsCcNtttzFq1ChsNhtXXHFFnZ5/ERERETkOhoiIiIhIPUyZMsU43NvI119/3ejbt6/h7+9vBAcHG8nJycZf//pX48CBA9XbDB061Bg6dGj1+d27dxuAMX369BrX9d577xnt2rUzfHx8jF69ehlz5swxJkyYYLRu3fqQyz711FOHZDkZ1zt//nwDMD755JMay6dPn24AxsqVK2t5xGr66aefjAsvvNCIiooyHA6HkZiYaNxwww3Gnj17Dtl2woQJRmBgoLFz505j5MiRRkBAgBEbG2s8/PDDhsfjqd5u5syZxsiRI42YmBjDx8fHSExMNCZPnmykpaXVuL6ioiJj6tSpRlJSkuHj42NERUUZp59+uvH0008bTqfzqI9rlcLCQsPf398AjPfee++Q9eXl5cbdd99txMfHG/7+/sbgwYONpUuXHvL8Vz2mH3zwgTF16lQjJibG8Pf3N8aOHWvs3bv3kMfi4OepSl1ed4fz8MMPG4CRlZV1yLqCggIjNDS0RtZff/3VuOSSS4zIyEjD19fXaN26tTF+/Hhj3rx5hmEYRkVFhXHvvfcaPXv2NIKDg43AwECjZ8+exiuvvHLI9T/zzDNGy5YtDV9fX2Pw4MHGL7/8Uqd/G26327j11luN6Ohow2KxVP87rOvzLyIiIiLHxmIYR9gDkoiIiIiIiIiIiIhIM6Y50UVEREREREREREREaqESXURERERERERERESkFirRRURERERERERERERqoRJdRERERERERERERKQWKtFFRERERERERERERGphNztAQ+D1ejlw4ADBwcFYLBaz44iIiIiIiIiIiIjISWYYBkVFRbRo0QKrtfbx5irRgQMHDpCQkGB2DBERERERERERERE5xfbt20erVq1qXa8SHQgODgYqH6yQkBCT04iIiIiIiIiIiIjIyVZYWEhCQkJ1P1wblehQPYVLSEiISnQRERERERERERGRZuRoU3xrx6IiIiIiIiIiIiIiIrVQiS4iIiIiIiIiIiIiUguV6CIiIiIiIiIiIiIitVCJLiIiIiIiIiIiIiJSC5XoIiIiIiIiIiIiIiK1UIkuIiIiIiIiIiIiIlILlegiIiIiIiIiIiIiIrVQiS4iIiIiIiIiIiIiUguV6CIiIiIiIiIiIiIitVCJLiIiIiIiIiIiIiJSC5XoIiIiIiIiIiIiIiK1MLVEf/XVV+nRowchISGEhIQwaNAgZs+eXb2+vLycKVOmEBkZSVBQEJdeeikZGRk1riMlJYWxY8cSEBBATEwM9957L263+1TfFRERERERERERERFpgkwt0Vu1asW//vUvVq1axS+//MLw4cO58MIL2bhxIwB33nknX3/9NZ988gkLFy7kwIEDXHLJJdWX93g8jB07FqfTyZIlS3jnnXd4++23eeihh8y6SyIiIiIiIiIiIiLShFgMwzDMDnGwiIgInnrqKcaNG0d0dDQzZsxg3LhxAGzZsoUuXbqwdOlSBg4cyOzZsznvvPM4cOAAsbGxALz22mvcd999ZGVl4ePjc9jbqKiooKKiovp8YWEhCQkJFBQUEBIScvLvpIiIiIiIiIiIiIiYqrCwkNDQ0KP2wvZTmOmIPB4Pn3zyCSUlJQwaNIhVq1bhcrk4++yzq7fp3LkziYmJ1SX60qVLSU5Ori7QAUaNGsVNN93Exo0b6d2792Fv64knnuDvf//7Sb9PIiIix8MwjOrDweerTh9uWX1OH3w9Rzpd1+2O5TINfbsjXeZUMWu8Q3O73aOxWCzHvP5Y15l12YaY6Xgu2xAz1eeyhzt9tPWN5TqO9hiJiIiINBSml+jr169n0KBBlJeXExQUxOeff07Xrl1Zs2YNPj4+hIWF1dg+NjaW9PR0ANLT02sU6FXrq9bVZurUqdx1113V56tGoouISPNTUVFBXl4eRUVFlJaWVh8qKipwuVy43W5cLlf1wev1Vh8Mwzjs6YPPH2vpLSIi0tyc6jLfzC8SDv4S4USfPhW3Ydbpo62r7WC1WhvkdiIi0niYXqJ36tSJNWvWUFBQwMyZM5kwYQILFy48qbfp6+uLr6/vSb0NERFpeEpLS9mzZw/79+8nNTWV7OxsSkpKzI510tX2gfOP6490+ljXnejtGtJ11Mep+qB8Kj+QN8X7VJujfbF1pPXHus6syzbETMdz2YaYqT6XPdzp+v6K5mjX0ZAc6ZdAIk3RiSzlrVZr9fqTdfpk347NZqvT6Ybw3kBEmh/TS3QfHx+SkpIA6Nu3LytXruT555/n8ssvx+l0kp+fX2M0ekZGBnFxcQDExcWxYsWKGteXkZFRvU5ERMTlcrFhwwbWrVvHnj17Dvuh3N/fn9DQUAICAqoPvr6+OBwOHA4Hdru9+nTVG/jDvfE/3AeNEzkCq76X0wcMERGpq/pO93Wiy/xTfR0N4baPZ0q2w50+Wdfb0E4fbd0fD1W/DDza4URtVx8HX6fUXdV77apyva7l+x9P13XbqoPdbj/i+bpsY7VazX74ROQYmV6i/5HX66WiooK+ffvicDiYN28el156KQBbt24lJSWFQYMGATBo0CAee+wxMjMziYmJAWDu3LmEhITQtWtX0+6DiIiYz+VysXz5cpYsWUJpaWn18ujoaBITE2nVqhWxsbFERETg5+dnYlIRERHz6ctXkRPjVJf3By8/2pSDJ/P08VzHHw8ej6fGdod7jD0eDx6Px4Rn+PhYLJZ6lfF2u736UDW453jPq8gXOTamluhTp05lzJgxJCYmUlRUxIwZM1iwYAFz5swhNDSUP/3pT9x1111EREQQEhLCrbfeyqBBgxg4cCAAI0eOpGvXrlx77bVMmzaN9PR0HnjgAaZMmaLpWkREmrEdO3bw9ddfU1BQAEBISAj9+vWje/fuREREmJxORERERJqqg6dXkeN3uHL94JL9aKfrs+3hLldV1h98cLvdR11Wdf6PvzIwDKN6X0tmsVqth5TsVb+69fHxOeR0fY8dDoe+lJUmydQSPTMzk+uuu460tDRCQ0Pp0aMHc+bM4ZxzzgHg3//+N1arlUsvvZSKigpGjRrFK6+8Un15m83GrFmzuOmmmxg0aBCBgYFMmDCBRx991Ky7JCIiJvJ4PMybN48lS5YAEBwczIgRI0hOTsZms5mcTkRERERE6qNqWpXG6uBR87UV7bUtqzrtcrlwu93Vh2M5f3CZ7/V6cTqdOJ3Ok3a/Dy7Vq/ZLWHXw8fE5ZNmR1jfm51+aFotR30m7mqDCwkJCQ0MpKCggJCTE7DgiInIMnE4nH3/8MTt27ACgf//+nHPOOfj4+JicTERERERExDxer/eIJfvBB6fTeUzHbrf7pGT/YxHv7++Pn59f9fHBp/94rBJe6qKuvXCDmxNdRESkvsrLy3n//ffZt28fdrudSy65RPvGEBERERERoXJEv4+Pz0kdYOT1eg9bxDudTioqKo54ONw2VXPeV11ncXFxvTNZLJbDFu+BgYEEBARUH/543m5XXSqH0qtCREQaNbfbzUcffcS+ffvw9fXl6quvJjEx0exYIiIiIiIizYbVaq0eLX4iuN3uQ4r18vJyysvLKSsrO+T0H4/dbjeGYVRvVx++vr61FuxBQUHVh+DgYPz9/TXavZlQiS4iIo2WYRh8/fXX7N69Gx8fHyZMmECLFi3MjiUiIiIiIiLHoWqnp4GBgcd0eZfLddiivaysjNLSUkpLSykpKak+XXUwDKO6tM/Lyzvq7VitVgIDA6tL9T+W7Aef1gj3xk3PnoiINFrLli1j7dq1WCwWLrvsMhXoIiIiIiIigsPhwOFwEBwcXOfLeL1eysvLD1uwV50vLi6uPpSWluL1eikqKqKoqIi0tLQjXn9gYCAhISGEhobWOK46HRwcjM1mO967LieJSnQREWmUDhw4wNy5cwEYPXo0HTp0MDmRiIiIiIiINFZWq7V62paoqKijbu92uykpKaku1YuKimqU7Aef93g8lJSUUFJScsSyPTg4uLpYDwsLIzw8nPDwcMLCwggLC8PhcJzIuyz1oBJdREQaHafTyaefforX66VTp04MGDDA7EgiIiIiIiLSjNjtdkJDQwkNDT3idoZhUFpaSmFhIQUFBTWODz598Kj21NTUw15XcHDwIeV61eng4GDNz34SqUQXEZFGZ/78+eTk5BAcHMyFF16IxWIxO5KIiIiIiIjIISwWC4GBgQQGBhIfH3/YbbxeL6WlpTVK9vz8fPLy8qqPnU5ndcm+b9++Q67DbrcTERFBZGQkkZGRREVFVZ8OCAg42XezyVOJLiIijUpaWhrLli0D4Pzzz9ebAREREREREWnUrFZr9U5IW7Zsecj6qtHsB5fqVYf8/HwKCgpwu91kZmaSmZl5yOX9/f1rlOqRkZFER0cTERGhedjrSCW6iIg0Gl6vl1mzZmEYBl27dqVjx45mRxIRERERERE5qQ4ezd6qVatD1ns8HgoKCsjOziYnJ6fGobCwkLKyMvbt23fICHar1UpkZCRt2rRh7Nixp+ruNEoq0UVEpNFYu3Ytqamp+Pr6Mnr0aLPjiIiIiIiIiJjOZrMRERFBRETEIesqKirIzc2tLtWrivasrCxcLhdZWVkEBwebkLpxUYkuIiKNgtPp5McffwRgyJAhhISEmJxIREREREREpGHz9fUlPj7+kPnYvV4vhYWFZGVlYberIj4aPUIiItIoLF++nKKiIkJDQxkwYIDZcUREREREREQaLavVSlhYGGFhYWZHaRSsZgcQERE5mtLSUn7++WcAhg8fjsPhMDmRiIiIiIiIiDQXKtFFRKTBW7ZsGU6nk9jYWJKTk82OIyIiIiIiIiLNiEp0ERFp0MrKyli+fDkAQ4cOxWrVny4REREREREROXXURIiISIO2YsUKKioqiI6OpnPnzmbHEREREREREZFmRjsWbeb2Z+1h+kO347F68VgMPBYvHosXrxUsVivYrFisFhxWBz5Wn+qDv92PALs//jZ/fG2+WLBgGMZvBy8YBl6vF8PrxTAMMLwY3t/XV56uXHfwaX7bvnJ55Wmb3Y7VbsfmcGCz27HZHdWn7T6++PgH4BsQgG9AIL4BAfj8dhwQEkZgWDgBoaHY7Jo/WaQxqqioYNmyZQAMGTJEo9BFRERERERE5JRTid7MeZxOAnI9By2xcugPFAzA+duh8lzpb4fGwi8omMCwcALDwgmJjiUsNo7Q2DjCYiqP/YKCsVgsZscUkT9YuXIlZWVlREZG0q1bN7PjiIiIiIiIiEgzpBK9mYuOiKfdny7CZlixGzZsXgs2w4rX48blcuJ2OXF5XFR4Kyhzl1HqLqPEXUJ+RQH5FfnkO/PxGJUlvGGpLNixgMPmIDGkNW3D2pIU3oGE0ASsVhsWiwWLxQrWymOLxYLl4NMW62/nf9vOAl6PB4/Lhdvtwut2V552VZ52OStwlpVSUVqCs7TyuKK0lIqSEkoL8yktyMfr8VBeXER5cRE5+1MO+zj4BgYSldCaqIQ2RCW2ITqxDVGJrfENCDx1T4aI1OB2u6tHoZ9xxhkahS4iIiIiIiIiplCJ3swF+Adz8cg/H/PlPV4PqcWpbMndwpbcLWzO3cz67PUUVOSxiTxwr4EsiCyKZFjCMIa1GsbA+IH42f1O3J04AsPrpbykmJL8PEry8yjOzaEgM4OCzPTKQ0Y6xXm5VJSUkLplE6lbNtW4fETLBOI7dKJFx8606NCZiFaVXwaIyMm3adMmiouLCQoKIjk52ew4IiIiIiIiItJMWQzDMMwOYbbCwkJCQ0MpKCggJCTE7DiNntfwsj1vO79k/MLK9JUsT1tOsau4en2APYCzW5/Nee3OY0DcAGwml9IuZwX5aQfITtlDVsqeyuN9eynOyT5kWx//AFp17U7r5N60Tu5FRMtWmgZG5CQwDIPXX3+dtLQ0hg8fzpAhQ8yOJCIiIiIiIiJNTF17YZXoqEQ/2VweF79k/MKCfQuYv28+aSVp1eui/aO5oP0FjO80nhZBLcwLeRilhQWkbd9K2vYtHNi2hfQd23BVlNfYJigyijY9+tBhwCASu/fE7uNjUlqRpmXv3r1Mnz4du93OnXfeSWCgplYSERERERERkRNLJXo9qEQ/dQzDYE3WGmbtnMV3e76j0FkIgNViZUjLIVzR+QoGtRiE1dLw5j72ej1k7dnN3vVr2LvuV1K3bsLjclWvd/j507Z3Pzr0H0j7vqfh8Ds1U9aINEUfffQRmzdvpk+fPlxwwQVmxxERERERERGRJkglej2oRDeH0+Nk4f6FfLT1I5anLa9enhSWxPXdr2dM2zHYrQ132n6Xs4LUzRvZuWo5O1Yuozg3p3qdw9ePjgMH0+XMs0jolqx51EXqIS8vjxdeeAHDMLj55puJiYkxO5KIiIiIiIiINEEq0etBJbr5dhXs4qMtH/Hlzi8pcZUA0DKoJZO6TeLiDhfjY2vY06QYXi8Zu3awfeVSti1bRH7671PWBEVG0W3IcHqcPZqQKJWBIkfzww8/sGjRItq1a8d1111ndhwRERERERERaaJUoteDSvSGo9BZyEdbPuK9ze+RW54LQHxgPDf3upnz251v+k5I68IwDNK2b2HTTz+yZclPVJRUfilgsVhp3+80eo8+j4RuPbRDUpHDcLvd/Pvf/6akpITLL7+cLl26mB1JRERERERERJoolej1oBK94Slzl/H59s/57/r/klmWCUD70Pbc2udWhicMbzQFtNvpZOeqFaz74VtSNqyrXh7RMoF+511M1yFnYbM7TEwo0rBs2LCBmTNnEhwczB133IHN1vC/OBMRERERERGRxkklej2oRG+4yt3lfLjlQ95Y/0b1Tkj7x/Vn6oCpdAjvYHK6+snet5c133/LpoXzcFWUAxAcGU2/8y8hefg5OHy1I1KRd955h927dzNkyBCGDx9udhwRERERERERacJUoteDSvSGr9BZyNsb3ubdTe9S4anAZrFxZecruanXTYT4NK7nrKK0hHXz5rBq1ueU5OcB4B8SSr/zLqb36PNUpkuzlZ2dzUsvvYTFYuH2228nLCzM7EgiIiIiIiIi0oSpRK8HleiNR2pxKk+vfJofUn4AIMIvgrv63sUF7S9oNFO8VHE7nWxY8AMrv/qUwqwMAIIiIjn9sqvpNnQEVk1jIc3MnDlzWLp0KR07duSqq64yO46IiIiIiIiINHEq0etBJXrjsyR1CU+seII9hXsAGNxyMI8MeoS4wDhzgx0Dj9vN5kULWPLJ+xRlZwGVc6afeeUE2vc7rdF9OSByLFwuF88++yxlZWVceeWVdOrUyexIIiIiIiIiItLEqUSvB5XojZPL4+KdTe/w6ppXcXqdBDoCubvf3YzrMK5RFs9up5O1c79l2WcfUV5cBEBCtx6MuP5GIlslmpxO5ORat24dn332GSEhIdxxxx1YrVazI4mIiIiIiIhIE6cSvR5Uojduu/J38dCSh1ibtRaA0+JO4x+D/0F8ULzJyY5NRWkJK7/6lFWzvsDtcmK12eg79iIGXnoFPn7+ZscTOSmqdig6bNgwhg0bZnYcEREREREREWkGVKLXg0r0xs/j9TBjywxeWP0C5Z5ygn2CeWTQI4xsM9LsaMesIDOd+e+8wc5flgOV86WfNeEGOg48w+RkIidWfn4+zz33HAB33HGHdigq0sB5vQYetxev24vhBQMDDKh6R1n91rL6PFgsYLVZsFgtWG0WrL8dW6yWRvnrMRERERERaRpUoteDSvSmI6Uwhb/9/DfWZ68H4NIOl/LX/n8lwBFgcrJjt3PVCua//R8KMit3PtrxtMGM+NNNBISGmRtM5ARZuHAh8+fPp23btkyYMMHsOCJNgmEYuF1eKkpclJe4KC9xU1HiwlnuxlXhwVXhwVnuqT7tOmi5q8KDx+XF4zHwur143F487t9Pn+h3jn8s1q12K3aHFbuP7bfjg0//8diKw8+Or78dh58NX387Pv52fPzs+Pjb8PGz4/C1YbGqqBcRERERkUOpRK8HlehNi8vr4pU1r/Df9f/FwKBtaFueGvIUnSIa744KXc4Kln/2MSu+/ATD68U/OIQRf7qZToM0Kl0aN6/Xy4svvkheXh4XX3wxPXv2NDuSSIPl8XgpK3RSWuikpMBJaUEFpYVOSgsql5UVO6kodVNe4qKixI3H7TUnqAUsABYLVdW1ARhek95yWsDH11ZZrvvb8Qt04BfkqDyuOgTZ8Qvy+e28Hb8gB74BDqwq30VEREREmjSV6PWgEr1pWp62nKk/TyWrLAtfmy8PDXqIC9pfYHas45Kxawffvfoc2Sl7AOg48IzKUekhoeYGEzlGe/bs4e2338bHx4d77rkHHx8fsyOJmMLwGpQWOinKLa885JRTXHU6t4KSggrKi131vl6rzYJvoAO/gMry2Me/cmS2w9eGw89WfbpqxLbD14bd14bdbsVqt2KzW7DZrdjsVqw2CzaHFZvNivW35Rbrb0W5haNOy2IYBobXwOsx8FYde35bVn2+ctS72+nB7fJWHju9eFweXE4vHpcXl7NypLzbWbnMVe7GWebGWe7BWXW6zIOzzI33eIp7C/gG2AkI9iEg1KfyOMSXgFAf/A9eFuqDf5ADq007RBYRERERaWxUoteDSvSmK688j/sX3c+i1EUAXNHpCv7a/684bA6Tkx07j9vFsk8/ZPkXlaPSg8IjOPe2e0nommx2NJF6++KLL1izZg29e/fmwgsvNDuOyEnl9Xgpyi0nP6OM/MxSCjLLKMgsJT+rjOK8crzuo78ls1ot+If4EBjqQ0CIDwGhvpXHIZXFrm+gvXp0tW/Ab1OZNNM5xw3DwOPyVpbrZW6c5W4qSty/TW/z26H4cKcri/h6sYB/kIOAEB8Cw3wJCvcjKNz3t9O+BIVVnvfxt5+cOysiIiIiIsdEJXo9qERv2ryGl9fWvsara18FoFd0L54Z9gwxATEmJzs+Gbt28M2LT5N3YD8Wi5WBl17BwEsvx2q1mR1NpE4qKip4+umncblcTJo0idatW5sdSeSEcDs95KaVkHughJwDJeSll1CQWUZhdhleT+1vuywWCAzzJTjSj+CIykNQhB/BkX4EhVWOgPYLcGh+71PA6/FSXuKmvNhFaZGT0sIKSguclBX9Pn1O6W+ny4qcdZ4n3uFnI+i3Yj0w3K/6dHCkHyGR/gRH+GFzaES7iIiIiMipohK9HlSiNw8L9y1k6s9TKXIVEeUfxXNnPUfP6MY9/7KzvIwf3/oPGxf+AEBC12TOvfUegiIiTU4mcnRr1qzhiy++ICIigltvvbXZjpaVxsvrNSjILCUntYSc1OLfSvNiCrLKKicBPwybw0potD9hMQGExvx+XFWUa0qQxsfrNSrL9sLKsr04r4KS/MrjytPlFOdVUFFah9HtFggM9SUksvLLk5Ao/98Kdj+CI/0JivDFpteIiIiIiMgJoxK9HlSiNx8phSncPv92duTvwMfqw2NnPMbotqPNjnXcNv08nx/eeBlXRTn+IaGcf+ffNL2LNHhvv/02e/bsYfjw4QwZMsTsOCJH5PUa5GeUkpVSRNbeIjJTCsnaV4y7wnPY7f0CHUS2DCSiRRAR8QGExgYQFhNAUJivRpI3U64KDyX5FRTllVPyW8FenF9BcW45hTnlFOWU4XYeeWewFgsEhvsSGuVPaLQ/oTEB1V/EhEb7Y/fRr9FEREREROpDJXo9qERvXkpdpdz3030s2L8AgFt63cJfevyl0Y+CzT2QyqznnyRrzy6sNhvDJtxAr5FjG/39kqYpNzeXF154AYA77riDsLAwcwOJ/EFJQQXpuwpI31lAxp5CsvcV4zpMYW53WIloGURky0AiWwQR0SKQiBaBBIT46P9fqRfDMCgrclGUU05hTtlvx+UUZZf9VrKX43EfuWQPCvetLNRjAgiL/q1cryrYHSrYRURERET+SCV6PahEb348Xg/PrHqG/236HwDntzufR05/BB+bj8nJjo+ropzv//MiWxYvBKD7WSMZ8aebsDsa745UpWlauHAh8+fPp23btkyYMMHsONLMeb0GuQdKSN9VQNrOfNJ3FlCYXX7IdnaHlaiEYKJbBxOTGEx0YjDhcQGagkVOCcNrUFrkpDC7nMLsP+ycNrPsyDtDtVQW7OGxAYTHBxIeF0hEfOVp/6DG/d5HREREROR4qESvB5XozdfHWz/m8eWP4zE89I3tywvDXyDEp3G/BgzD4JdZn/Pz+29jGF7iO3Tigrv/j6DwCLOjiQCVr9GXX36Z7OxsLrzwQnr37m12JGlmDK9BdmoxqVvz2L81j7Tt+TjL/zDK3AKRLQKJax9GbJsQYlqrMJeGyzAMyktcFGQeWq4XZJYe+vo+iF+Qg/C4ykI9Ii6Q8PgAwuMCCQr31a8pRERERKTJU4leDyrRm7clqUu4e+HdFLuK6RjekdfOfo3ogGizYx23PWtWMeuFaVSUlBASHcMlf3uEyFaJZscSIT09nddeew2bzca9996Ln5+f2ZGkiTMMg7z00urSPHVbHhUlNUftOnxtxLYNIa59KPHtQoltF4qvv92kxCInTtU0MQWZpeRllJKXVkJuWil56SUU5Rz6i4sqDj8b4bEBRMQHEtEyiKiWQUS01FRFIiIiItK0qESvB5XosiV3CzfOvZGc8hxaBrXk9XNeJzGk8RfOeekH+Pxfj5CXdgDfwEAuvOcB7XBUTDd37lwWL15M586dueKKK8yOI01URamLfZvz2Lshm5RNuZQWOGusd/jaaNEhjJadwmnVKZzIloEaZS7NjsvpIT+9lNy0EvLSS8hLryzZCzLL8HoP/xHBP9hBRIvKUj2yVSCRLYMIjw/EoZ2aioiIiEgjpBK9HlSiC8C+on1MnjuZfUX7iPCL4NWzX6VrZFezYx230sICvnzqnxzYthmb3c7om++k8+ChZseSZsrr9fL8889TUFDAZZddRrdu3cyOJE2EYRjkpBazd0MOezfkkL6rEOOgEtDmsBLfPrS6NI9uHYxNpbnIYXk8Xgoyy8hLLyH3QAk5qSXkpBZTkFnK4T45WCwQGhNQuYPdlkFEtgwiqlUQwZF+GrUuIiIiIg2aSvR6UIkuVbLLsrn5h5vZnLuZQEcgLw1/iX5x/cyOddxczgpmv/QM25cvAWDI1ZPof8GlJqeS5iglJYW33noLHx8f7r33Xhza6a0cB4/Ly/6teexak8XeDTmU5FfUWB8eF0Bi90had4skPikUu0MjZUWOh9vpITetslDP2V9CzoFiclKLKStyHXZ73wA70YnBRCdU7og3KiGIsJgALFYV6yIiIiLSMKhErweV6HKwYmcxt8+/nRXpK/Cz+fHiiBcZGD/Q7FjHzev1sPB/b7H62y8BGHDRZZxxxXUaISan1DfffMPKlSvp0aMHl1xyidlxpBFylrtJ2ZhbWZyvz66xw0S7w0qrzuEkdoukdfdIQqL8TUwq0nyUFjrJ2V9Mdmoxuam/HR8owes59GOGw9dGVEJQdbEenaid9oqIiIiIeVSi14NKdPmjCk8Fd8y/g0Wpi/C1+fL8Wc8zuOVgs2OdECu/+pSf3p8OQO8x53PWhL+oSJdTwuPx8Oyzz1JSUsLVV19Nhw4dzI4kjUR5iYs967LZ+WsW+zbn4nF5q9cFhPrQrmc0bXpG0bJjmEabizQQHreX3AMlZO0rIiul8pCzvxj3Qf9+q9jsViJbBhKdGExMmxBi24YQHheIVSPWRUREROQkU4leDyrR5XCcHid3L7ybBfsW4LA6eHbYswxLGGZ2rBNizZxvmPfWqwB0P2sk5/xlClariic5uXbs2MF7772Hv78/99xzDzabXnNSO1eFhz3rstm2MoOUjTk1RrSGRPvTvlc07XpHE9smRFNDiDQSXo+X/IyyGsV69r6iGr8oqeLwtRHT+rdSvU0IMW1CCAr31Rf/IiIiInJCNYoS/YknnuCzzz5jy5Yt+Pv7c/rpp/Pkk0/SqVOn6m2GDRvGwoULa1xu8uTJvPbaa9XnU1JSuOmmm5g/fz5BQUFMmDCBJ554ArvdXqccKtGlNi6Pi/t+vo+5e+dit9h5auhTnN36bLNjnRAbF85jzqvPYxheOg8eyuib78RWx38zIsfi888/Z+3atfTr14/zzjvP7DjSAHk8XvZtymXbigx2r8vGXfF7sRbZMpB2vWNo3zuaiBaBKtJEmgjDa1CYU0ZWSjGZewrJ3FtI5t4iXBWHFusBoT7VhXpsmxBiWgfjG6B9a4iIiIjIsatrL2xqY7Zw4UKmTJlC//79cbvd3H///YwcOZJNmzYRGBhYvd0NN9zAo48+Wn0+ICCg+rTH42Hs2LHExcWxZMkS0tLSuO6663A4HDz++OOn9P5I0+OwOZg2ZBr3L7qf2btnc8/Ce3hyyJOMajPK7GjHrdvQEdh9fPn2xafYsnghXrebsbf/FatGB8tJ4HK52LJlCwDJyckmp5GGxDAMMnYXsmVZOjtXZVJe8vsOCkOi/Og4II4O/WKJaBF4hGsRkcbKYrUQGh1AaHQASX1jAPB6DfLSSsjYU0jmnkIy9hSSk1pCaYGT3Wuz2b02u/ryYbEBxLULIa5dKPHtwwiP045LRUREROTEa1DTuWRlZRETE8PChQsZMmQIUDkSvVevXjz33HOHvczs2bM577zzOHDgALGxsQC89tpr3HfffWRlZeHj43PU29VIdDkaj9fDQ0se4qudX2G32Hl22LOclXiW2bFOiF2rV/LVM4/hcbvpPHgoY265S1O7yAm3adMmPv74Y0JCQrjjjjuwWrUDueaupKCCrcvT2bIkjbz00url/iE+dOgXQ4f+sZVTtWjEuYgALqeH7JSiGsV6YXb5Idv5BtiJaxdKXPtQ4tuFEtM2BIeP3teIiIiIyOE1ipHof1RQUABAREREjeXvv/8+7733HnFxcZx//vk8+OCD1aPRly5dSnJycnWBDjBq1ChuuukmNm7cSO/evQ+5nYqKCioqKqrPFxYWnoy7I02IzWrj0dMfxWN4+GbXN9y98G5eGv4Sp7c83exox61dn/6cd+dUvn72cbYsXojN4WDU5NuwqOSUE2jDhg0AdO/eXQV6M+bxeNm7PofNS9LYuyEHw1v5Pb7dYaV9nxg6DYyjZccwrDa9RkSkJoePjfikMOKTwqqXlRU5ydhTSPrOAtJ3FZCxu5CKUjd7N+Swd0MOAFarhaiEoMpSvX0Yce1CCQr3NeleiIiIiEhj1WBKdK/Xyx133MHgwYPp3r179fKrrrqK1q1b06JFC9atW8d9993H1q1b+eyzzwBIT0+vUaAD1efT09MPe1tPPPEEf//730/SPZGmyma18c/B/8TpcTJ371xun387r5z9Cv3j+psd7bgl9TuNsbfdy6znprFxwQ/YHQ5G/OlmjQCVE6K8vJxt27YB1Pj/XZqPgqxSNv50gC3L0ykrdFYvj20bQpfT4+nQLxYf/wbzlkREGgn/YB/aJEfRJjkKqPyiLmd/MWk7CkjbWUD6znxKCpxk7i0ic28R637cD0BwhB9x7UNp0SGMlh3DCIsN0HseERERETmiBvOJdcqUKWzYsIFFixbVWP6Xv/yl+nRycjLx8fGMGDGCnTt30r59+2O6ralTp3LXXXdVny8sLCQhIeHYgkuzYrfaefLMJ6nwVPDT/p+YMm8Kr5/zOr1iepkd7bh1HHgGY25x8+1Lz7B27mxsdgfDJtygD5Vy3LZu3Yrb7SYyMpL4+Hiz48gp4vUapGzIYf3C/aRszK1e7h/soNPAeLoMitc85yJyQtlsVmJahxDTOoSeIxIwDIOi3HLSdxWQvqOAtF0F5Owvpii3nKLccravzAAqp5FqkVRZqLfoEEZEfKDmVRcRERGRGhpEiX7LLbcwa9YsfvrpJ1q1anXEbU877TQAduzYQfv27YmLi2PFihU1tsnIqHxDHBcXd9jr8PX1xddXP+OUY+OwOXh22LPcMu8WlqUt4+YfbubNUW/SNbKr2dGOW5czhuFxuZjz2vOsnv0V/sEhDLz0CrNjSSO3fv16oPKLUH0p0/SVFTvZvDiNDT+lUpTz+3zFid0i6HZmS1onR2LTdC0icgpYLBZCIv0JifSnY//KzwXOcjcZuws5sCOftO35pO8qpKzQyc7VmexcnQmAX6CD+KRQWnYMp0WHMCJbBWFVqS4iIiLSrJlaohuGwa233srnn3/OggULaNu27VEvs2bNGoDq0YyDBg3iscceIzMzk5iYGADmzp1LSEgIXbs2/lJTGiZfmy/Pn/U8N/1wE6szV3PTDzfx7ph3aR3S2uxox637Wefgqijnx+n/YfHH7xEQFk6PEaPMjiWNVElJCTt37gQ0lUtTl7G7kPUL9rNjVSYetxeo3MFfl9Pj6TakJWExASYnFBEBHz87CV0iSOhSuQ8mj8tLxp5CDmzP48D2fNJ2FlBe4mL32mx2r82uvIy/nRZJobToEE7LTmFEJQSrVBcRERFpZiyGYRhm3fjNN9/MjBkz+PLLL+nUqVP18tDQUPz9/dm5cyczZszg3HPPJTIyknXr1nHnnXfSqlUrFi5cCIDH46FXr160aNGCadOmkZ6ezrXXXsuf//xnHn/88TrlqOteWEX+qNhZzPVzrmdz7mZaBrXk3THvEhMQY3asE2LRh++y/POPsVisXHD3/ST1H2h2JGmEVq5cyTfffEN8fDyTJ082O46cYF6vwZ612az5IYW0nQXVy6MTg0ke1pIO/WKx+9hMTCgiUj8ej5esvUUc2J5P6rZ80nbm4yr31NjGN8BOy07hJHQOp1XnCEJj/PVLKxEREZFGqq69sKklem1vNqdPn87EiRPZt28f11xzDRs2bKCkpISEhAQuvvhiHnjggRp3au/evdx0000sWLCAwMBAJkyYwL/+9S/s9roNtFeJLscjpyyH62ZfR0pRCh3CO/D26LcJ8Wn8ryPDMPj+Py+wYf5c7A4fLn3gH7Tq3M3sWNLIvPXWW6SkpHDOOecwePBgs+PICeKq8LBlaRpr5u2jMKsMAKvNQof+sSQPa0Vsm8b/f6CICIDX4yV7f3F1qX5gWx7OP5TqQeG+tOoUTqsuEbTqHE5gqKaNFBEREWksGkWJ3lCoRJfjtb9oP9fOvpbssmz6xPThP+f8Bz+7n9mxjpvX4+HLZx5j16oV+AYGcsXfpxGV0PinrJFTo6CggH//+98A3HnnnYSGhpqcSI5XSUEF6+bvZ+NPqVSUuoHKEZndh7Qk+axWKo5EpMnzerxk7i1i/5Y89m/NJW1nAV53zY9T4XEBtOpcWai37BiGb4DDpLQiIiIicjQq0etBJbqcCFtztzLpu0kUuYoYljCMfw/7N3Zrg9h373FxVZQz858PcmDbZkKiY7jqn88QGBZudixpBBYvXszcuXNp3bo1kyZNMjuOHIf8jFJWz9nL1uXpeD2VbxtCov3pNSKBzoPicfhqyhYRaZ5cTg/pOwrYvzWX/VvyyEwpgoM+XVksENMmhISuESR2jSS2TTBW7VxZREREpMFQiV4PKtHlRPkl/Rcmz52M0+vkkg6X8MigR5rEHJllRYXMeOBu8tPTiO/QifEPPYHdx8fsWNLAvfbaa6SnpzN27Fj69+9vdhw5Bjmpxaz6bi87fsmg6t1CfPtQep2dSJueUdqxnojIH5SXuEjdllc5Un1LHvkZpTXW+wbYadU5gsRuESR2jSAovPH/clFERESkMVOJXg8q0eVE+jHlR+5ccCdew8ttvW/jhh43mB3phMg9sJ8ZD9xNRUkJnQcP5dxb72kSXxDIyZGdnc1LL72E1Wrl7rvvJjAw0OxIUg+Zewv55ds97F6bXb2sdXIkfUe3Ib69puUREamr4rxy9m3OJWVTLvs25VZPhVUlokUgiV0jSOwWSXxSKHaHftkjIiIiciqpRK8Hlehyon245UMeW/4YAE+e+STntjvX5EQnRsqGtXz6+EN4PR5Ov+xqBo270uxI0kDNnz+fhQsXkpSUxDXXXGN2HKmjA9vzWTV7DymbcisXWKB972j6jm5DdGKwueFERBo5r9cgc08hKZtySdmYQ+aeQg7+JGb3sdKyY/hvo9QjCY3x14AFERERkZOsrr1w45+wWaQBuqLzFewr2se7m97lgcUPEBsYS9/YvmbHOm6J3Xsy4k83M/f1F1nyyfuEx7eg8+ChZseSBsYwDDZs2ABAcnKyyWmkLtJ3FbD8q13s35IHgMVqoWP/WPqMbk1EvH5FICJyIlitFuLahRLXLpQB57WlvMT1+yj1jTmUFDjZuyGHvRtygO2ERPvTJjmSNslRtOgQhs2uudRFREREzKKR6GgkupwcXsPL3Qvu5oeUHwj1DeW9Me/RJrSN2bFOiAX/+y+rZn2OzeHgykefIrZdktmRpAE5cOAAr7/+Ona7nXvvvRdfX1+zI0ktslKKWP71LvauzwHAarPQ+fR4+oxsTWi0v8npRESaD8MwyD1Qwt6NOezblMuBHfl43b9/THP42UjsEkHr5Chad48kIET7phERERE5ETSdSz2oRJeTpcxdxp/m/In12etJCE7gvXPfI8IvwuxYx83r9fDlU/9k1+qVBEdFc80TzxEQonmSpdKcOXNYunQpXbt2Zfz48WbHkcPISS1mxazd7Po1C6gced55UBz9zm1DSKTKcxERsznL3ezfksee9dnsWZ9DWaHz95UWiG0TQpvkKNr0iCSyZZCmfRERERE5RirR60ElupxM2WXZXPPtNaQWp9IruhdvjnoTX1vjH5lbXlLM+/ffSX56Gonde3Lp/Y9itWlnWM2d1+vlueeeo7CwkMsvv5wuXbqYHUkOkp9RyopZu9n+SwYYgAU6Doil/9i2hMUEmB1PREQOw/AaZO0rYs+6ykI9K6WoxvqgcF9aJ0fRJjmSVp3Csfvo/ZiIiIhIXalErweV6HKy7crfxTWzr6HIWcSYNmN4csiTTWLEUHbKHt5/4G7cFRX0v+BShlw9yexIYrI9e/bw9ttv4+vryz333IPD4TA7kgClhU5WztrNxkUHMLyVf/bb94mm/3ltiWwRZHI6ERGpj+K8CvZuqCzU92/Oxe3yVq+zO6wkdI2gXa9o2iRH4Rekv8MiIiIiR6ISvR5UosupsDJ9JX/5/i+4DTe39b6NG3rcYHakE2Lr0p+Z9dyTAJx3x9/oNOgMkxOJmWbNmsUvv/xCr169uOiii8yO0+w5y92snbePX79PwVXhAaB1ciSnnd+O6MRgk9OJiMjxcjs9pG7L/23al2yKcyuq11msFlp0CKVtz2ja9YomOMLPxKQiIiIiDZNK9HpQiS6nyifbPuHRpY8C8PxZzzM8cbjJiU6Mhe+9xS9ff4bD14+rHnuGqITWZkcSE3g8Hp5++mnKysq49tprad++vdmRmi2vx8vmJWms+Ho3pb/NoxvTOpjTL02iZcdwk9OJiMjJYBgGOanF7Po1i11rs8nZX1xjfXRiMO16RdG2ZzQRLQKbxK8iRURERI6XSvR6UIkup9Ljyx/ngy0f4G/3571z36NjeEezIx03r8fDp48/SMqGdUS0TOCax/+Nw0+jnZqbbdu2MWPGDAIDA7nrrruwaY78U84wDPasy2bp5zvJSy8FICTKj4EXtSepb4wKExGRZqQgq4zda7PYtSaL9J0FHPypLyTan3a9omnXM4rYdqFYrfr7ICIiIs2TSvR6UIkup5LL6+KmuTexPH05LYNaMmPsDCL8IsyOddxKC/J5977bKMnLpdvQsxl98x1mR5JT7LPPPmPdunUMGDCAc8891+w4zU72/iIWfbyd1G35APgFOuh3bhu6D2mJzWE1N5yIiJiqtNDJnvXZ7F6Txb7NeXjcv8+j7h/iQ7ueUbTvE0PLjmFYbfqbISIiIs2HSvR6UIkup1pBRQFXfnMl+4r20Te2L2+c8wYOW+Pf8dO+Tev55NH/wzC8jL75TroNHWF2JDlFnE4nTz/9NE6nk+uvv57ExESzIzUbZUVOln+1i02LDmAYYHNY6Tk8gT6jEvENaPz/r4iIyInlLHezb1Muu9ZksWd9Ds4yd/U6vyAH7XpFk9QnhpadVKiLiIhI06cSvR5UoosZdubv5Opvr6bEVcK4juN4aOBDTWKqhaWffsCSj9/H7uvLNY8/R2SrBLMjySmwceNGPvnkE8LCwrj99tubxGu5ofN4vGxYkMrKb3ZTUVpZgCT1jWHQJe0JifQ3OZ2IiDQGHo+X1K157FxdOe1LebGrep1foIO2vaIqC/XO4dhUqIuIiEgTpBK9HlSii1l+2v8Tt8y7BQOD+0+7nys7X2l2pOPm9Xr49LGHSNmwlqiE1lz12DM4fDU/elP34YcfsmXLFs444wzOPvtss+M0eSmbclj08fbqec+jEoI4c3wHWnTQTkNFROTYeD1eUrfls3N1JrvWZFFW9Huh7htop13PaNr3jaFVp3BsdhXqIiIi0jSoRK8HlehipukbpvPsqmexWWy8MfIN+sf1NzvScSvJz+Pdv95KaUE+ycNHMnLybWZHkpOorKyMp59+Go/Hw4033khcXJzZkZqsgqxSFn2ygz3rsoHKn90PvLAdXQa30E7hRETkhPF6vBzYns+O1Vns+jWzZqEeYKftb3OoJ3SN0Ah1ERERadRUoteDSnQxk2EYTF00lW92fUOEXwQfn/cxsYGxZsc6bnvXr2HmYw+CYXD+XVPpeNpgsyPJSfLrr7/y5ZdfEh0dzc0336ypXE4Cj8vL6u/3smr2XjxuL1arheSzWtF/bBvNey4iIieV12twYHs+O1dlsnNNFmWFzup1foEO2veJpkP/WFokhWHRF7oiIiLSyKhErweV6GK2MncZ1357LVvzttIjugfTR03Hx+Zjdqzj9vMH77Dii0/wCwpmwlMvERQRaXYkOQneffdddu3axfDhwxkyZIjZcZqcfZtzWfjBVgoyywBo1TmcMy/vSER8oMnJRESkufF6DdJ2VBbqO36tWagHhfuS1DeGDv1jiU4M1pfqIiIi0iioRK8HlejSEOwr2sflsy6nyFnE+I7jeXDQg2ZHOm4et4sZD9xD5u6dtO7Rm0un/h2LVT/5bUqKi4t55plnMAyD2267jYiICLMjNRkl+RUsnrmd7b9kAhAQ4sMZl3UgqV+MigkRETGd1+MldWs+237JYNevWTjL3NXrQmP86dA/lo79YwmP05e+IiIi0nCpRK8HlejSUPy8/2emzJuCgcGjpz/KxR0uNjvScctJ3cd7f7sDt7OCsyb+hT5jLjA7kpxAy5cvZ/bs2bRs2ZIbbrjB7DhNgtfjZf3CVJZ/tQtXuQeLBZKHtWLABe3w9bebHU9EROQQHpeXvRtz2L4yg93rsvG4vNXrohKC6NA/lg79YgmO0M7mRUREpGFRiV4PKtGlIfnP2v/w0pqX8LH68O6Yd+kW1c3sSMdtzZxvmPfWq9gcDq554jmiElqbHUlOkDfffJP9+/czatQoBg0aZHacRi9jdyELZmwhe18xADFtQhh2VSeiE4NNTiYiIlI3znI3u9dms31lBvs25eL1/v5xMz4plI4D4kjqG4NfoPbpISIiIuZTiV4PKtGlIfEaXm7/8XYW7F9AXGAcH533ERF+jXuKDMMw+Pxfj7B7zSqiW7flqseexe7QB6fGLi8vj+effx6Au+66S/9/HgdXhYflX+5i7fx9YIBvgJ2BF7Wn6xktsGonbSIi0kiVFTvZuTqL7SszOLA9v3q51W6hbXIUHU+Lo3X3SGx2TfcnIiIi5lCJXg8q0aWhKXIWceU3V7K3cC+nxZ/Ga2e/ht3auKdxKMnP4517plBWVEj/C8cx5KqJZkeS4/Tzzz8zb9482rZty4QJE8yO02jt25TL/Pe3UJRTDkDH02IZfGkHAkIa/86FRUREqhTnlbN9ZSZbl6eTk1pcvdwv0EGHfjF0GhhPTBvtkFREREROLZXo9aASXRqi7XnbufrbqylzlzGp+yTu6nuX2ZGO2/aVS/nq6cewWKxc+c+niE/qZHYkOQ6vvvoqGRkZnH/++fTt29fsOI1OeYmLxZ9sZ8uydACCInwZdnVnWneLNDmZiIjIyZW9v4ity9LZtiKD0kJn9fKw2AA6nRZHx9NiCYn0NzGhiIiINBcq0etBJbo0VN/t+Y57F94LwHNnPceIxBEmJzp+3774NJsXLSCiZQLX/ut57D4abdsYZWZm8sorr2C1Wrn33nvx99cH3boyDIOdq7P46cOtlBW5wAI9hrXitAvb4ePXuH9xIiIiUh9ej5f9W/LYsiyd3WuycB+0Q9IWHcLoNDCO9n1itGNtEREROWnq2gvr3YhIAza6zWjWZa3jf5v+x4OLHqTj+R1JCE4wO9ZxOWviX9i7fg25qftYOnMGZ2pal0Zpw4YNACQlJalAr4fivAp++nAru9dmAxAeF8Dw67oQ1y7U5GQiIiKnntVmJbFbJIndInGWu9m5Oouty9NJ3ZbHge35HNiez08fbqNdzyg6nx5Pq84R2leIiIiImEIj0dFIdGnYXF4Xk76bxNqstXSJ6ML/zv0fvjZfs2MdF03r0rgZhsELL7xAXl4el156KcnJyWZHavAMw2DL0nQWfbIdZ5kbq81Cn9Gt6Te6DTaHdqYmIiJysKLccratSGfrsnTy0kurlweF+9J5UDydB8UTGq0v8UVEROT4aTqXelCJLg1dekk6l319GfkV+Vze6XIeGPiA2ZGO2zcvPMWWxQuJbJXINU88p2ldGpH9+/fz5ptv4nA4uPfee/HRc3dEJQUVLHhvC3vW5wAQ0yaE4dd2JrJlkMnJREREGjbDMMhKKWLLkjS2rcygotRdva5lpzC6DIqnXZ8YHD42E1OKiIhIY6YSvR5UoktjsCh1ETf9cBMA04ZMY0zbMSYnOj5lRYW8fffNlBbkM+DCcZrWpRH57rvvWLZsGd27d2fcuHFmx2nQtv+SwcIPtlJR4sZqt3Da+e3odU6ifoouIiJST26Xh91rs9m8JI19m3Pht0+xPn42kvrH0uX0eGLbhGCx6G+siIiI1J1K9HpQiS6NxQurX+CN9W/gb/fnw/M+pF1oO7MjHZftK5bw1TOPY7FYufrxZ4ltl2R2JDkKr9fLs88+S3FxMVdeeSWdOmkqnsMpK3aycMY2dq7OBCAqIYizJ3bV6HMREZEToCi3nC1L09iyNI3C7PLq5eHxgXQ5PZ5Op8UREKJfyomIiMjRqUSvB5Xo0li4vW7+MvcvrExfSVJYEjPGzsDf3rjng/z6uSfZtvRnYtslcdU/n8Fq089xG7Ldu3fzzjvv4Ofnxz333IPdrv1T/9GuNVkseH8LZUUurFYLfc9tQ98xrbHZNPe5iIjIiWR4DVK357N5yQF2rs7C4/ICYLVaaJ0cSZfBLWjdLQKr/gaLiIhILVSi14NKdGlMssuyGffVOHLKc7iw/YX884x/mh3puJTk5zH9zhupKC1h2HV/pu/Yi8yOJEfw1VdfsXr1avr06cMFF1xgdpwGpaLUxc8fb2frsnQAIloEcvbErkQnBpucTEROFK/Xi9PpNDuG1IPD4cCmL+ibhYoyNzt+yWDzkjQydhdWLw8M9aHL4BZ0GRxPSGTjHnwiIiIiJ55K9HpQiS6Nzcr0lfz5+z/jNbw8evqjXNzhYrMjHZd1875j7usv4fD1Y+IzrxASHWN2JDkMt9vN008/TXl5ORMmTKBt27ZmR2owUrfl8cP0TRTnVWCxQO+RrRlwXltsDo18E2kqnE4nu3fvxuv1mh1F6iksLIy4uDjNld2M5BwoZsuSNLYsS6e82FW50AKJXSPpdmYL2iRHanS6iIiIACrR60UlujRGb6x7gxd+fQFfmy/vn/s+nSIa79zUhtfLR3+fSuqWjbTr05+L/vqQPug2QFu3buWDDz4gKCiIu+66C6tVHz49bi8rvt7N6u/3ggGh0f6cPakrce1CzY4mIieQYRikpKTgcrlo0aKF/v9rJAzDoLS0lMzMTMLCwoiPjzc7kpxiHpeXXWuz2PjzAVK35lUv1+h0ERERqaISvR5Uoktj5DW83DzvZhanLqZNSBs+Ou8jAhwBZsc6Zjn79/G/+27F43Zz3h330WnQmWZHkj+YOXMmGzZsYNCgQYwaNcrsOKbLSy9h7lubyEopAqDL4HjOuKwDPn6aJ16kqXG5XOzYsYMWLVoQGqovyRqbnJwcMjMz6dixo6Z2acbyM0rZtPgAW5amUVak0ekiIiJSqa69sN4liDRSVouVJ854gtiAWPYU7uGx5Y+ZHem4RLZKYMBFlwHw4/T/UF5cbHIiOVhFRQVbtmwBIDk52eQ05jIMgw0/pfLxYyvJSinCN9DO6MndGX5tFxXoIk2Ux+MBwMfHx+QkciwCAioHGbhcLpOTiJnCYgM4/ZIkJjw+mJF/7karzuFgQMrGHGa/tp537l/C8q92UZhdZnZUERERaYBUoos0YuF+4Tw55EmsFitf7fyKr3d+bXak4zLgovGEt2hFaUE+iz58x+w4cpCtW7fidruJjIxs1j+HLyty8u2r61k4Yytul5dWncO54oHTaN9b8/iLNAeaaqxx0vMmB7M5rHToF8uFd/Tm6kcH0ntkIv7BDkoLnPzy7R7+9+BSvn5xDbvXZuH1NvsfbYuIiMhvVKKLNHJ9Y/tyU8+bAPjHsn+wp2CPuYGOg93h4JwbpgCw9ofvyNi1w+REUmX9+vVA5Sj05lpGpGzM4cN/rGDPumysdguDxyVxwW29CAr3NTuaiIiIHIOwmN9Gpz8xmFE3dD9odHou3766nv89sIRV3+2htNBpdlQRERExmUp0kSbghuQbGBA3gDJ3Gff+dC9OT+N9o5/QNZnOg4eCYTDvv69ieL1mR2r2SkpK2LGj8guN7t27m5zm1PN4vCz5dAdfv7iW0kIn4fGBXPa3fvQ6OxGLtXl+oSAiItKU2OxWkvrG/D46/ZxEfAPtFOdWsOyLXbxz/2LmvrWR9F0FaJdiIiIizZNKdJEmwGa18cSZTxDuG86W3C0888szZkc6LkOvuR4ff3/Sdmxlw4IfzI7T7G3atAnDMGjRogVRUVFmxzmlCrPL+Pzp1fw6NwWA7kNbMn5qP6JaBZucTERERE6GsJgATr80iYlPDGbEhC7EtAnB6zbYtiKDT6et4uPHV7Jp0QFcFR6zo4qIiMgppBJdpImICYjhn2f8E4AZW2bwY8qPJic6dkERkQwadxUAP894m7LiIpMTNW8HT+XSnOz8NZOPH19Jxu5CfAMqdx469MpO2H1sZkcTEamTiRMnYrFYuPHGGw9ZN2XKFCwWCxMnTqze9qKLLqqxzcyZM/Hz8+OZZ545oduINAZ2HxudB8Vz2d/6cdnUfnQ+PR6bw0r2vmLmv7eFt/+2mEUfbyc/o9TsqCIiInIKqEQXaUKGtBrChK4TAHhw8YOkFaeZnOjY9R59PpGtEikrKmTxh/8zO06zlZ+fT0pK5Sjsbt26mZzm1HC7PPz04Ta++88GKkrdxLYNYfz9/bXzUBFplBISEvjwww8pKyurXlZeXs6MGTNITEys9XJvvvkmV199Na+++ip33333Sd1GpKGLaR3CiOu6MPGJwZx+aRIh0f44y9ys/XEf7z+8jK+e/5Vda7LwejQNoYiISFNlNzuAiJxYt/e5nVUZq9iQs4H7fr6Pt0a9hd3a+P6p2+x2Rlx/Ix8/ej9rf5hN8vCRxLZLMjtWs1M1Cr1t27aEhISYnObky88oZc6bG8jeVwxA75GJnHZhO2w2fecsIr8zDIMylzlTOfg7bPXawXOfPn3YuXMnn332GVdffTUAn332GYmJibRt2/awl5k2bRoPP/wwH374IRdffPFJ3UakMfELctD7nER6jUggZXMuGxbsZ8+GHPZtzmPf5jyCwn3pPrQlXc9ogX+Qj9lxRURE5ARqfM2aiByRw+Zg2tBpjP96PL9m/sora17htj63mR3rmCR060HnwUPZsngh8/77Klf+4yksVpWZp1Jzmspl6/J0Fs7YiqvCg1+Qg7MndqV190izY4lIA1Tm8tD1oTmm3PamR0cR4FO/t/DXX38906dPry7R33rrLSZNmsSCBQsO2fa+++7jlVdeYdasWYwYMeKw13eithFprCxWC627RdK6WySF2WVs/DmVTYvSKM6r3BHpym/20HFALD2HJxDZMsjsuCIiInICqI0SaYISghN4eNDDALy5/k2WpS0zOdGxG3rN9Tj8ftvJ6ELtZPRUysjIIDMzE5vNRpcuXcyOc9K4nR5+fHczP0zfhKvCQ4sOYVzxwAAV6CLSZFxzzTUsWrSIvXv3snfvXhYvXsw111xzyHazZ89m2rRpfPnll7UW3ydqG5GmIiTKn0EXJzHhX6czYmIXohOD8bi8bF6cxof/WMEX/15dOdWL1zA7qoiIiBwHjUQXaaJGtx3NsrRlfLr9U6b+PJVPzv+EKP8os2PVW1BEJKePu5KF773Fog/epeNpZ+AbEGB2rGahahR6hw4d8Pf3NznNyZGfWcp3r28gZ38xWKD/uW3oN7YtVmvdp0oQkebH32Fj06OjTLvt+oqOjmbs2LG8/fbbGIbB2LFjiYo69D1Bjx49yM7O5uGHH2bAgAEEBR06gvZEbSPS1NgdNjoPjKfTaXGk7yxg7Y/72bUmi9St+aRuzSc40o/kYa3oOjge3wCH2XFFRESknjQSXaQJu2/AfSSFJZFdls0Dix7AazTOnR31HnM+4fEtKC3IZ/kXH5sdp1kwDKPJT+Wya00WnzzxCzn7i/EPdnDB7b0YcH47FegiclQWi4UAH7sph/rMh36w66+/nrfffpt33nmH66+//rDbtGzZkgULFpCamsro0aMpKio6aduINFUWi4X4pDBG/6U71/5zEH1GtcY30E5RTjlLPt3B21OXsPCDreSll5gdVUREROpBJbpIE+Zv9+epIU/ha/Nl8YHFvLfpPbMjHROb3cHQa/8EwOpvvqAgM93kRE3fvn37KCgowMfHh44dO5od54Tyerws/XwHs19bj7PMTVy7UMbfP4CEzhFmRxMROWlGjx6N0+nE5XIxalTto+hbt27NwoULSU9Pr7UAP1HbiDR1wRF+DLq4PROeGMywqzsR0SIQd4WHDQtTmfHIcr5+YQ17N+RgaKoXERExSUFFAc+teo4f9mr63KNRiS7SxCWFJ/HX/n8F4N+r/83mnM0mJzo27foMILF7TzxuNz+9N93sOE1e1Sj0Ll264HA0nZ8clxY6+er5NayekwJAz+EJXHR3b4LCfU1OJiJyctlsNjZv3symTZuw2Y48JUxCQgILFiwgMzOTUaNGUVhYeNK2EWkOHD42up3ZkiseHMCFd/SiTY8osEDKplxmvbSWGX9fzrr5+3GWu82OKiIizUSpq5Q317/JmM/G8N8N/+W51c/h9urv0JGoRBdpBi7reBlnJZyF2+vmvp/vo9RVanakerNYLAy77s9YLFa2LV/M/s0bzI7UZHk8HjZu3Ag0ralcDuzI56PHVpC6LR+Hr42Rf+7GGeM7YLPpT6GINA8hISGEhITUadtWrVqxYMECsrOzay3AT9Q2Is2FxWKhVecIxt7cg2seHUTPEQn4+NnIzyjl54+28e79S1j6+Q6K8yrMjioiIk2Uy+Pigy0fMPbzsTy/+nmKnEUkhSVxd9+7sVnqv++d5sRiGEaz/+1YYWEhoaGhFBQU1PmDhUhjk1eex7ivxpFZlsm4juN4eNDDZkc6JnNff4l1874jtl0SVz/2LBarCtATbfv27bz//vsEBARw9913H3XEYkNnGAZr5+1jyWc7MbwG4fGBjJncnfC4QLOjiUgjUV5ezu7du2nbti1+fn5mx5F60vMnDZmz3M3WZems/XEfBZllAFhtFjr0i6XXOQlEtQo2OaGIiDQFHq+Hb3d/y8trXia1OBWAlkEtmdJrCue2PRebtXF/7j8ede2FTW2fnnjiCfr3709wcDAxMTFcdNFFbN26tcY25eXlTJkyhcjISIKCgrj00kvJyMiosU1KSgpjx44lICCAmJgY7r33Xtxu/QRB5GDhfuE8duZjWLAwc9vMRjvf1eDLr8HH35+MXTvY9PN8s+M0SVVTuXTv3r3RF+jOcjdz3tjI4pk7MLwGHfrHMu6+virQRUREpEHw8bOTPKwVVz8ykDE3JhOfFIrXY7B1eTof/XMlXz73K3vWZ2vedBEROSaGYfBjyo+M+3oc9y+6n9TiVKL8o/i/0/6Pry/6mvPbn9+sC/T6MLVEX7hwIVOmTGHZsmXMnTsXl8vFyJEjKSn5fU/ld955J19//TWffPIJCxcu5MCBA1xyySXV6z0eD2PHjsXpdLJkyRLeeecd3n77bR566CEz7pJIgzYwfiCTuk8C4OElD5Ne0vh20BkQGsbAS64A4OcP3sFZXmZyoqbF6XSyZcsWoPFP5VKQVcqn01axc3UmVpuFMy/vyDnXd8XHz252NBEREZEaLFYL7XpFc8k9fRn3t34k9YvBYrWwf0se37y8jg8eXc6mRQdwuzxmRxURkUZiRdoKrpl9DbfPv50d+TsI9gnm9j63883F33BF5ytw2JrO/s9OhQY1nUtWVhYxMTEsXLiQIUOGUFBQQHR0NDNmzGDcuHEAbNmyhS5durB06VIGDhzI7NmzOe+88zhw4ACxsbEAvPbaa9x3331kZWXh4+Nz1NvVdC7SnLg8Lq6dfS0bczbSP64/b5zzRqP71tHtcvH23TdRkJHOwEsuZ/Dl15odqcnYsGEDM2fOJCwsjNtvvx2LxWJ2pGOSsjGH7/+7kYpSNwEhPoyenEx8+1CzY4lII6XpQBo3PX/SWBXmlLFu/n42LTqAq7yyPPcPdpA8rBXdh7TEP/jon3VFRKT52Zi9kedXP8/StKUA+Nv9ubrL1UzsNpFQX30u/qNGMZ3LHxUUFAAQEREBwKpVq3C5XJx99tnV23Tu3JnExESWLq18ISxdupTk5OTqAh2o3mlR1Y7x/qiiooLCwsIaB5HmwmFzMG3INPzt/qxMX8n0jdPNjlRvdoeDoVdfD8Avs76gODfH5ERNR9VULsnJyY2yQDcMg9Vz9jLrpbVUlLqJbRvC+Pv7q0AXERGRRick0p8zxnVgwhODOf3SJILCfSkrcrHi6928c/8SFry/hbz0kqNfkYiINAu78ndx14K7uOKbK1iathS71c4Vna7g20u+5fY+t6tAP04NpkT3er3ccccdDB48mO7duwOQnp6Oj48PYWFhNbaNjY0lPT29epuDC/Sq9VXrDueJJ54gNDS0+pCQkHCC741Iw5YYksj/nfZ/ALz060usy1pncqL6SxowiBYdu+B2VrBk5gyz4zQJpaWlbN++HWicU7m4Kjx8/+ZGln6+E8OAroPjufiuPgSG+ZodTUREROSY+frb6X1OItf8cxAj/9SNmNbBeFxeNv58gBmPLOebV9ZxYEe+2TFFRMQkacVpPLj4QS7+6mLm7p2LBQvntzufry/6mv8b+H9E+UeZHbFJaDAl+pQpU9iwYQMffvjhSb+tqVOnUlBQUH3Yt2/fSb9NkYbmgvYXMKbNGDyGh/t+uo9iZ7HZkerFYrEw5OrK+d03/DiXnFT9Oz5eGzZswOv1EhcXR0xMjNlx6qUgq4xPp61ix6pMrFYLQ6/qxLBrOmNzNJg/cyIiIiLHxWazVu4k/W/9uPju3rTpEQUW2LMum8+fXs2n01axa02WdkIqItJM5JTl8OSKJxn7+Vi+2PEFXsPLWQln8ekFn/L4mY/TKriV2RGblAaxd7VbbrmFWbNm8dNPP9Gq1e9PcFxcHE6nk/z8/Bqj0TMyMoiLi6veZsWKFTWuLyMjo3rd4fj6+uLrq5GJ0rxZLBYeGPQAa7PWsr94P48vf5zHz3zc7Fj10rJzV9r3G8jOX5ax6IN3ufCe/zM7UqO2bl3lLxJ69uxpcpL62bc5lzlvbqCixI1/iA+j/9KdFklhZscSEREROSksFgstOoTTokM4+Rml/Do3hS3L0kjfVcDs19YTHhdA75GJdBwQh82uAQUiIk1NkbOItze+zf82/Y8ydxkAA+IGcFuf2+gZ3bg+zzcmpv5FNQyDW265hc8//5wff/yRtm3b1ljft29fHA4H8+bNq162detWUlJSGDRoEACDBg1i/fr1ZGZmVm8zd+5cQkJC6Nq166m5IyKNVIhPCP8a8i+sFitf7/qaWbtmmR2p3s688josFis7Vi4ldetms+M0Wjk5Oezfvx+LxVI9pVZDZxgGv85N4esX1lBR4iamTQjjp/ZTgS4iIiLNRlhsAGdd05nrHjudPqNa4+NnIy+9lB/f3cL/HljKr3NTcJa7zY4pIiInQLm7nOkbpjPmszG8vu51ytxldIvsxuvnvM6bI99UgX6SmToSfcqUKcyYMYMvv/yS4ODg6jnMQ0ND8ff3JzQ0lD/96U/cddddREREEBISwq233sqgQYMYOHAgACNHjqRr165ce+21TJs2jfT0dB544AGmTJmi0eYiddA7pjc39riRV9a+wj+X/ZOe0T1JCG48+wmIbJVIt2Fns2H+9/w8YzqXP/Jko9whptmqRqG3a9eO4OBgk9McncflZcGMLWxZWvl3o/Pp8Qy9siN2h83kZCIiIiKnXmCoL4Mubk/f0a3Z8HMqa+ftoyS/giWf7mDV7D10H9KSHsMTCAjxMTuqiIjUk8vr4vPtn/Oftf8hs6xyEHG70Hbc2vtWRiSOUAdyilgMwzBtwrTanuTp06czceJEAMrLy7n77rv54IMPqKioYNSoUbzyyis1pmrZu3cvN910EwsWLCAwMJAJEybwr3/9C7u9bt8RFBYWEhoaSkFBASEhIcd9v0QaG7fXzfVzrufXzF/pEd2Dd0a/g93aIGZ7qpOi3Gzeuu0vuF1OLrz3QZL6nWZ2pEbFMAxeeOEF8vLyuOSSS+jRo4fZkY6otNDJd6+vJ21HARYLDL6sAz3OaqU3DiJy0pSXl7N7927atm2Ln5+f2XGknvT8SXPkcXnZuiKdX79PIT+jFACb3UrnQXH0OieRsJgAkxOKiMjReA0v3+3+jpfXvExKUQoA8YHx3NzrZs5rd16j6m0asrr2wqZP53K4Q1WBDuDn58fLL79Mbm4uJSUlfPbZZ4fMdd66dWu+/fZbSktLycrK4umnn65zgS4iYLfa+deZ/yLYEcy6rHW8tvY1syPVS3BEFH3OvQCARR+8g9fjMTlR47Jv3z7y8vJwOBx07tzZ7DhHlJNazMx//ULajgJ8/O2cd2tPeg5PUIEuInIYEydOxGKxcOONNx6ybsqUKVgslur33RMnTuSiiy6qsc3MmTPx8/PjmWeeOaHb1CWzxWLBx8eHpKQkHn30UdxuTUchUh82h5Wug1tw1cOnMWZyMrFtQ/C4vWz8+QAzHl7Gd69vIHNvodkxRUTkMAzD4Kf9PzH+6/Hc9/N9pBSlEOEXwd8G/I1ZF8/ioqSLVKCbQHsZEREAWgS14MFBDwLwxvo3+CX9F5MT1U//C8fhFxRMzv4UNv407+gXkGpVU7l07doVH5+G+xPf3euy+XTaKopyywmN9mfcfX1J7BppdiwRkQYtISGBDz/8kLKysupl5eXlzJgxg8TExFov9+abb3L11Vfz6quvcvfdd5/Ubf5o9OjRpKWlsX37du6++24eeeQRnnrqqTpdVkRqslgttOsdzaV/7cvFd/emdfdIDAN2rs7kkyd+4cvnfmXf5lxM/IG6iIgcZFXGKiZ+N5Ep86awNW8rQY4gbul1C7Mvmc3VXa7Gx9ZwP7M3dfraQkSqjWk7hsWpi/ly55dMXTSVmefPJNQ31OxYdeIXGMRpF49n4f/+y5KP36fz4KE4fLRfhKNxu91s3LgRoMFO42IYBr9+n8LSL3aCAS07hTP6L93xC3SYHU1EmivDAFepObftCIB6/PqmT58+7Ny5k88++4yrr74agM8++4zExETatm172MtMmzaNhx9+mA8//JCLL774pG5zOL6+vtW/PL3pppv4/PPP+eqrr5g6dWqdr0NEarJYLLToEE6LDuHkpBaz+vu9bF+Zyf4teezfkkdMmxD6jWlNm+QoLFb9wk9E5FTbkruF51c/z6LURQD42ny5qvNVXN/9esL8wswNJ4BKdBH5g6mnTeXXzF9JKUrh0aWP8vTQpxvNVBm9Ro5l9bdfUZSTxbq539F37IVmR2rwtm/fTllZGcHBwbWWKWbyuLwseH8LW5ZV7kC025CWnHl5B2w2/ZBKREzkKoXHW5hz2/cfAJ/Ael3k+uuvZ/r06dUl+ltvvcWkSZNYsGDBIdved999vPLKK8yaNYsRI0Yc9vpO1DZ15e/vT05OznFdh4j8LrJlEOdM6sZpF7RjzQ/72LToAJl7Cvn21fVEtgyk7+g2tO8bg1VluojISbe3cC8v/foS3+35DgCbxcYlHS5hco/JxAbGmpxODqYWQkRqCHQE8uSQJ7Fb7Hy/93u+2PGF2ZHqzO7jw8BLrwBgxZef4CwvO8olpGoql+TkZKzWhvUnobTQyZfP/cqWZelYrBbOvLwjQ6/sqAJdRKSerrnmGhYtWsTevXvZu3cvixcv5pprrjlku9mzZzNt2jS+/PLLWovvE7VNXRiGwQ8//MCcOXMYPnz4MV+PiBxeSKQ/Qy7vyHWPnU6fUYk4/GzkpJbw/X83MuPhZWxafACP22t2TBGRJim9JJ1HljzChV9cWF2gj2k7hq8u+oqHBj2kAr0B0kh0ETlE96juTOk9hedXP88TK56gT2wfWoe0NjtWnXQbOoKVX84kPyONX7+bxWkXXWZ2pAarrKyMbdu2AQ1vKpec1GK+eXkdRbnl+PjbGX1DdxK6RpgdS0SkkiOgckS4WbddT9HR0YwdO5a3334bwzAYO3YsUVFRh2zXo0cPsrOzefjhhxkwYABBQUEnbZsjmTVrFkFBQbhcLrxeL1dddRWPPPJIva5DROouIMSHQRcn0Xtka9Yv2M/aH/dRkFXG/P9tYeWs3fQemUjXwS2w+9jMjioi0ujllefx3/X/5YMtH+D0OgEY0moIt/W+jU4RnUxOJ0ei4XwicliTuk2if1x/ytxl/O2nv+HyusyOVCc2u51Bl10FwC9ffUpFaYnJiRqujRs34vF4iI2NrZ57tiFI2ZjDp0/V3IGoCnQRaVAslsopVcw4HOMUa9dffz1vv/0277zzDtdff/1ht2nZsiULFiwgNTWV0aNHU1RUdNK2OZKzzjqLNWvWVE859s477xAYWL8pbESk/vwCHfQf25brHjud0y9NIiDEh+K8Cn7+aDvv/t8SVs/Zi7PMbXZMEZFGqcRVwqtrX2XMZ2N4Z9M7OL1O+sT04Z3R7/DyiJdVoDcCKtFF5LBsVhuPn/E4IT4hbMjZwCtrXjE7Up11HjyEiJYJlJcUs+qbL8yO02BVTeXSkEahb/w5lVkvr8NV7qFFhzDG/a0f4XEqTkREjtfo0aNxOp24XC5GjRpV63atW7dm4cKFpKen11qAn6htahMYGEhSUhKJiYnY7frhrMip5uNnp/c5iVz72CCGXtWJ4Eg/yopcLP18J+/+3xKWf7WL8uLGMcBGRMRsFZ4K/rfpf4z5dAyvrHmFElcJnSM688qIV3h79Nv0ie1jdkSpI5XoIlKruMA4Hjn9EQD+u/6/rExfaW6gOrJabQweX7nztFXffEFZUaHJiRqevLw8UlJSgMr50M1meA2WfLaDBe9vxfAadDotjgtu74VfoMPsaCIiTYLNZmPz5s1s2rQJm+3IUzIkJCSwYMECMjMzGTVqFIWFh/4dPVHbiEjDZXfY6D6kJVc/OpARE7sQHhdARambX77dwzv/t4TFM7dTUlBhdkwRkQbJ7XXz+fbPOe/z85i2chp5FXm0DmnNU0Oe4qPzPuLMVmdiOcZfGIo5VKKLyBGd0/ocLulwCQYGU3+eSkFFgdmR6qTDgNOJbtMOZ1kZK7/+zOw4DU7VKPR27doREhJiaha308OcNzfy6/eVpX7/89oyYmIXbHb9iRIROZFCQkLq/H9+q1atWLBgAdnZ2bUW4CdqGxFp2Gw2K50HxnPFQ6cx6obuRCUE4a7wsOaHffzv/5aycMZWinLLzY4pItIgGIbB93u+5+IvL+ahJQ+RXpJOTEAMDw96mM8v/JzRbUdjteizbmNkMQzDMDuE2QoLCwkNDaWgoMD0MkmkISp1lTJ+1nj2Fu7lnNbn8MzQZxrFN6Y7V63gi2mPYvfx5c8vvklgWLjZkRoEwzB48cUXyc3N5aKLLqJXr16mZSkrcvLtq+tI31WI1WZh+LWd6TQw3rQ8IiKHU15ezu7du2nbti1+fn5mx5F60vMncmIZhkHKxlxWzd5D2s7KATZWm4Uup8fTZ3RrQiL9TU4oInLqGYbB0gNLef7X59mUswmAMN8w/pz8Zy7vdDl+dr0Haajq2gtrkkEROaoARwBPnvkk13x7DXP3zuXzHZ9zSYdLzI51VO369Cc+qRNpO7ay4otPOGviX8yO1CCkpqaSm5uLw+GgS5cupuXISy9h1ktrKcwuxzfAzpjJybTspC86RERERBoyi8VC6+6RJHaL4MC2fFZ+s5vUbfls/PkAmxen0XlQHH3HtCEkSmW6iDQPazLX8Pzq5/kl4xcAAuwBTOg2geu6XkeQT5DJ6eRE0e8HRKROukV145betwDwrxX/Yk/BHnMD1YHFYmHwFdcCsHbutxTlZJucqGGomsqlc+fO+Pr6mpLhwPY8Pp22isLsckKi/Lj0r31VoIuINHEpKSkEBQXVeqjaV4eINA4Wi4WWncK56K4+XHx3b1p1DsfrNdi0OI33HlrGvHc3U5BVanZMEZGTZlveNm6ddyvXzr6WXzJ+wWF1cG3Xa5l96Wxu7nWzCvQmRiPRRaTOJnWfxJIDS1iRvoL7fr6P98a8h8PWsHf8mNi9J626dGf/5g2s/OpThk+abHYkU7ndbtavXw9Ajx49TMmwdXk6P/5vM163QWzbEM69qQcBIT6mZBERkVOnRYsWrFmz5ojrRaRxatEhnAvvCCdtRz4rv93Dvk25bFmSxtZl6XQaEEvfMW0Iiw0wO6aIyAmxr2gfL695mW93fYuBgdVi5aKki7ixx43EB2l60qZKJbqI1JnVYuWxMx7j0q8uZVPOJl5a8xJ39r3T7FhHZLFYGDTuSj75x/+xbt53DLjoMoLCI8yOZZpt27ZRVlZGcHAw7du3P6W3bRgGq+fsZdkXuwBo3zuasyd1xe5jO6U5RETEHHa7naSkJLNjiMhJFJ8UxgW39SJ9VwErv9lDysYctixLZ+vydDoMiKXfmDaExwWaHVNE5JhklWbxn3X/4dNtn+I23ACMbD2SW3rfQtvQtiank5NN07mISL3EBcbx99P/DsD0DdNZkbbC5ERHl9CtBy06dcXjcrHyq0/NjmOqqhGAPXr0wGo9dX8CvF6Dnz7cVl2g9zonkVE3dFeBLiIiItIExbUL5fxbezLub/1okxyJYcC25RnM+Ptyvv/vRnIPlJgdUUSkzgoqCvj3qn9z7mfn8tHWj3Abbga3GMyH533IM8OeUYHeTKhEF5F6O7v12Vza4VIMDKYumkp+eb7ZkY7IYrEw6NIrAFg3dzYl+XkmJzJHcXEx27dvB6BXr16n7HbdTg9z3tjAhoWpYIEzxndg8KVJWKyWU5ZBRERERE692DYhjJ3Sk/H396dtzygwYPvKDD74x3LmvLGBnNRisyOKiNSq1FXKG+veYMynY3hrw1uUe8rpGd2Tt0a9xWvnvEa3yG5mR5RTSNO5iMgx+Wv/v7IqYxV7Cvfw96V/59lhz2KxNNxStHWP3sQndSJtx1Z+mfU5Q6+53uxIp9y6deswDIOWLVsSHR19Sm6zvMTFt6+uI21HAVa7hbMndqVDv9hTctsiIiIi0jBEJwZz7k09yNpXxC/f7mHXr1nsWJXJjlWZtO8TTf+xbYlsqR3wiUjD4PK4+GTbJ7y+7nVyynMA6BDegdt638bQVkMbdPchJ49GoovIMQlwBPDkkCexW+38kPIDn23/zOxIR1Q1NzrAmu+/obSwwOREp5ZhGNVTuZyqUehFueV89tQq0nYU4ONv54LbeqlAFxEREWnGohOCGTM5mf9n777DoyjXPo5/Z3ez6T2BdCCEHkroXTpBihQFNBwFfPWggA2PHvUo1uOxYMUuiI0mvSO9d0hoAUILpBFI79ky7x8bApGACSTZEO7Pdc01uzPPzNxLSXZ/+8zzjPpPe+q3rgUKnDl4mbnv7GXtD0dJTZRhXoQQ1mMym1h2ZhmDlwzm/b3vk5KfQoBTAO93e58/Bv1Bj8AeEqDfw6QnuhDitjX1bMozYc/wyYFP+GDfB7Su3bpajwVWt1Ubagc34NLZGPavWEz3R8Zau6Qqk5iYSHJyMlqtltDQ0Eq/Xkp8Nsu/iCQnoxBHN1sGT24pvYuEEEIIIQQAXgFOhD8ZSkpCNvtXni/ulX76YDIN29Wm3cB6uNV2sHaZQoh7hKqqbLy4kemHpnM6/TQAXvZeTGgxgeENhmOjtbFyhaI6kJ7oQog78lizx+jg24E8Yx4vb30Zg8lg7ZJuytIb3TI2euSaFfdUb/SrvdCbNGmCvb19pV4r/mQaiz46QE5GIe6+jox4qY0E6EIIIYQQ4gaefk70fyKUUf9pT3Arb1Dh1N5LzH5zNxt+Pk7G5TxrlyiEqOF2J+4mYlUEz216jtPpp3HRu/Bc6+dYNXwVoxqPkjqgNiMAAQAASURBVABdFJMQXQhxRzSKhve6vIerrSvRqdF8eehLa5d0S8Gt21Orbn0MBfkcXLXM2uVUCaPRyJEjR4DKH8olZv8lln0ZSWG+Cd8QV4a/2BpnD7tKvaYQQojSjR07FkVRmDBhwg37Jk6ciKIojB07trjt0KFDS7RZsGABdnZ2TJs2rcxthBDidngFODFgQnNGvtqOui28UFU4sSuJ2VN3s+nXaDJTJEwXQlSsI5eP8H9//h9P/PkER64cwV5nzxPNn2D1iNU83vxx7HWV2/lM3H0kRBdC3LHajrV5q/NbAPx07Cd2J+62ckU3pygKHYt6ox9as4z87GwrV1T5Tp06RV5eHs7OzgQHB1fadaI2XOTPH49hNqrUD/NmyLOtsHOUb+2FEMKaAgMDmTt3Lnl51wKo/Px8Zs+eTVBQ0E2P+/HHH4mIiOCbb75hypQpt91GCCHKwzvImYFPt+DBl9sS1MwDs1nl+I5Efn9jN1tmnyQ7Ld/aJQoh7nJn0s/w3KbneGTVI+xJ3INOo+ORxo+wavgqnmn9DC56F2uXKKopGRNdCFEhegf15qGGD/HHqT94bdtrLByyEDc7N2uXVaqQNh3wDqrL5QvnObR2OZ1GPGztkirV1aFcWrZsiUZT8d+dqqrKrsVnOPTnBQCa9wig68gGaDQy4YoQomZSVZU8o3V6Rdrr7Ms1oVXr1q05c+YMixYtIiIiAoBFixYRFBREvXqlz2Py4YcfMnXqVObOncuwYcNuu40QQtyu2vVcGDy5FYlnMti7/CxxJ9I4ujWe4zsTaNbNnzbhdXB0tbV2mUKIu0h8djxfR37NirMrMKtmNIqGQcGDeLrV0/g7+Vu7PHEXkBBdCFFh/tXuX+y/tJ9zGeeYunMqn/X8rFrOXK1oNLQf+hArv/iIg6uX03bgMGzsauaQI1lZWcTExACWEL2imU1mNs8+SfSORAA6Dg2mdf861fLvXQghKkqeMY8OsztY5dp7HtmDg035JtsbP348P/30U3GIPnPmTMaNG8fmzZtvaPvyyy/z9ddfs2LFCnr37l3q+crSRgghKoJvfVceeC6M+FNp7F1+joSYdI5siuP49gRCu/vTun8dHFz01i5TCFGNXcm7wveHv+ePU39gNBsBSyfAyWGTqe9W38rVibuJDOcihKgw9jp7Puj2ATqNjo0XN7IgZoG1S7qphh274lrbh/ysTI5sXGvtcirNkSNHUFWVgIAAvL29K/TcRoOJtT8cI3pHIooCPf/RmDbhdSVAF0KIambMmDFs376d2NhYYmNj2bFjB2PGjLmh3erVq/nwww9ZunTpTcPxsrQRQoiK5t/QnaEvhPHAc63wCXbFZDATteEiv/5nJzsXnSYvu9DaJQohqpnMwky+OPgF9y+6nzkn5mA0G+no25HZ98/ms56fSYAuyk16ogshKlQTzyY81/o5Pt7/MR/u/ZA2tdsQ7Fp543DfLo1WS7vBI1j/41fsW7GYlv3uR6urWeN3q6paPJRLRU8oWphvZNU3R4g/mYZGp9D/8VCCwyo2pBdCiOrKXmfPnkf2WO3a5eXt7c3AgQOZNWsWqqoycOBAvLy8bmjXokULrly5wtSpU2nfvj1OTk631UYIISqDoigENPbAv5E7F4+nsmf5OZLPZ3Lozwsc3RJPi54BtOobJHPyCHGPyzPmMTt6NjOPziSzMBOA5l7Nebb1s3Twtc6dhKJmkBBdCFHh/tH0H+yI38GuxF28vPVlfr//d/Ta6nebZbP7erNrwWyyU64QvW0zoT37WrukCpWYmEhycjI6nY5mzZpV2HnzsgpZMT2K5NgsbOy03P9UCwIauVfY+YUQorpTFKXcQ6pY2/jx45k0aRIAX331Valt/P39WbBgAT179iQ8PJzVq1fj7Oxc7jZCCFGZFEUhqJkngU09iD2awt7l57h8IYsDa2I5siWesL5BtOgVgN5O4g4h7iUGk4GFMQv57vB3XMm7AkB91/pMbj2ZXoG95I5pccdkOBchRIXTKBre7foubrZunEg9wRcHv7B2SaXS6fW0GTgUgL3LFmI2m6xbUAU7dOgQAI0bN8bevvw9F0uTlZrPoo8PkhybhZ2TDUOfD5MAXQgh7gLh4eEUFhZiMBjo37//TdvVqVOHLVu2kJSURHh4OFlZWbfVRgghKpuiKNRt7sVDr7RlwITmePg5UphnZM+ys/z2+i6iNlzEaKhZ7++FEDcymU0sP7OcIUuG8N6e97iSdwV/J3/e6/oeC4cspHdQbwnQRYWQEF0IUSlqOdTi7c5vA/Dz8Z/ZmbDTyhWVrmXfAdg6OpKWEMfpfbutXU6FMRqNHDlyBKi4oVxSE3NY9NEB0i/l4uRuy/AXW1OrjkuFnFsIIUTl0mq1REdHc/z4cbRa7S3bBgYGsnnzZpKTk+nfvz+ZmZm31UYIIaqCoigEt/Jm1H/a03d8U1y87cnLMrD9jxh+f2M3x7cnYDaZrV2mEKKCqarKpgubeHD5g7y6/VXisuPwtPPk1Q6vsnzocobUH4JWc+v3PEKUh4ToQohK0zOoJyMbjgTgP9v/Q1p+mpUrupHe3oGw/oMA2LvkD1RVtXJFFePEiRPk5+fj7OxMcPCdj0l/6Xwmiz8+SHZaAe4+Dgz/VxvcfRwroFIhhBBVxcXFBReXsn35GRAQwObNm7ly5cpNQ/KytBFCiKqi0Sg0bO/DI292oEdEIxzdbMlOK2DTbyeY/dYeYvZdQjXXjPf6Qtzr9ibuZczqMTyz6RlOp5/GWe/Ms62fZdXwVTzc+GFstDI3gqh4ilpTEqM7kJmZiaurKxkZGWX+YCGEKJs8Yx6jV4zmbMZZegT24IueX1S7W6lyMzP4YeJ4jIUFjHjtHeq2CLN2SXfs119/5cyZM3Tv3p1evXrd0bkunkhl9TdHMBSYqFXHmUGTW2LvVP3GuBdCiMqSn5/PuXPnqFevHnZ2dtYuR5ST/P0JcW8yGkwc25rA/tXnyc82AODp70SHB4Kp29yz2n0mEUL8vWNXjvH5wc/ZlbgLADutHRFNIhgXOg5XW1crVyfuVmXNhaUnuhCiUtnr7Pmg+wfYaGzYfHEzf5z6w9ol3cDBxZXmvfoBlt7od7u0tDTOnDkDQFjYnX0hcOZQMiumR2EoMBHQ2J0Hng+TAF0IIYQQQlR7OhstLXsH8o93O9FhSD30dlpS4rNZ9fVhFn54gLiT1e8uWSFE6c6mn+WFzS8weuVodiXuQqfRMbrRaFYNX8VzbZ6TAF1UCQnRhRCVrrFHY55r/RwAH+37iLPpZ61bUCnaDh6GRqvl4rHDJMactHY5dyQyMhKAevXq4e5++5N+Ht+RwNrvj2I2qtQP82bQxJbo7XQVVKUQQgghhBCVT2+no+399fjHe51p3b8OOhsNl85lsvTTQyz97BBJ5zKsXaIQ4iYSshN4fcfrDFs2jHWx61BQGBw8mGVDl/Fax9fwdvC2doniHiIhuhCiSoxpOobOfp3JN+Xz0taXKDQVWrukEly8atGkaw8A9tzFvdHNZjOHDh0CoHXr1rd9nqiNF9n06wlUFZp28aXfE6FobeRXhhBCCCGEuDvZOdrQaVh9xrzbieY9AtBoFeJOpLHwgwOs/PowKfHZ1i5RCFEkJS+F/+39H4MWD2LJ6SWYVTO9AnuxcMhC/tvtvwQ6B1q7RHEPkkRECFElNIqGd7u8i7utOyfTTvLZwc+sXdIN2g15EBSFM/t3kxJ30drl3JYzZ86QmZmJvb09jRs3vq1z7F99nu3zYwBo1SeQHmMao9HImJFCCCGEEOLu5+hqS/fRDYl4qyONO/uiKHD+8BXmvruXP2ccIz0519olCnHPyirM4stDXzJg0QB+j/4dg9lAB58O/H7/73ze63MauDewdoniHiYhuhCiyng7ePNOl3cA+PX4r+yM32nlikryDAikfpv2ABxYtcS6xdymgwcPAtCiRQtsbMo3I7mqquxafIY9Sy3D7bQbVI/OI0Jk0iUhhBBCCFHjuHjZ0/vRJjw8tQMhbWqBCjH7LjH7zT1s+u0E2Wn51i5RiHtGvjGfn47+xIBFA/j+8PfkGfMI9Qzl+77f82P/H2nh3cLaJQohIboQomrdF3gfoxqNAuC1Ha+Rmp9q5YpKajtoGADHt24kJ/3ummwoOzubkyct47mXdygX1ayybV4MB9fGAtB5RAjtB9WTAF0IIYQQQtRo7j6O9H8ilJGvtqNOqCeqWeX49gR+e303OxaeJj/HYO0ShaixDGYD80/OZ+CigXxy4BMyCjIIdg3m0x6fMnvgbDr5dbJ2iUIUkxBdCFHlXmz7IvVd63Ml7wpv7HgDVVWtXVIx/8bN8AlpiMlgIPLPVdYup1yioqIwm834+/tTu3btMh9nNqts/DWaI5vjQIH7HmlEWN+gSqxUCCGEEEKI6sU7yJlBk1oy/MXW+Ia4YjKaiVx3gV//s4sDa85jKDRZu0Qhagyzambl2ZU8sOQB3tn9Dsl5yfg5+vFul3dZNGQRfer0kQ5dotqREF0IUeXsdHZ80P0DbDQ2bInbwryT86xdUjFFUWg7aDgAkX+uxFBwd9zGqapq8VAu5emFbjKaWTfjGCd2JaEo0OexJoR296+sMoUQQgghhKjWfEPcGDalNQMntsDT34nCPCO7l5zlt9d3cXRrPCaT2dolCnHXUlWVLRe38NDyh/j3tn9zMesiHnYe/Lv9v1k+bDkPhDyAVqO1dplClEpCdCGEVTTyaMQLbV4A4OP9H3M67bSVK7qmQftOuHjXJj8rk2NbNlq7nDK5cOECKSkp2NjYEBoaWqZjjIUmVn93hNMHktFoFfo/GUqjjr6VXKkQQgghhBDVm6Io1G3uxajX2tFnXFOcPe3IzShky+yTzHlrD6cPJFeru2mFuBvsS9rHo6sfZdLGSZxKO4WzjTOTwyazevhqIppEoNfqrV2iELd0WyG60Whk/fr1fPfdd2RlZQGQkJBAdnZ2hRYnhKjZIppE0MW/CwWmAl7e9jIFpgJrlwSARqulzcAHADi4aglmc/W/dfPQoUMAhIaGYmtr+7ftC/ONrPgqitgjKWhtNNz/dAvqh9Wq7DKFEEIIIYS4aygahUYdfIh4syPdRjXA3tmGjOQ81v5wlAX/28/FE9VrfichqqPjKceZsG4C49eOJ/JyJHZaO8aHjmf1iNU82eJJHGwcrF2iEGVS7hA9NjaW5s2b88ADDzBx4kQuX74MwAcffMCLL75Y4QUKIWouRVF4t8u7eNh5cCrtFJ8d+MzaJRUL7dkXW0dH0hITOHNgr7XLuaX8/HyOHTsGlG0ol4JcA8u/iCT+ZDo2tloGT25JnWaelV2mEEKIKjZ27FgURWHChAk37Js4cSKKojB27NjitkOHDi3RZsGCBdjZ2TFt2rQytylLPYqioNfrCQkJ4e2338ZoNN7W6xNCiKqitdHQomcgY97pRLtB9bCx1ZIcm8WyzyJZ9vkhkmMzrV2iENXOuYxzTNk8hVErRrEjYQc6RceoRqNYOXwlz7d5HldbV2uXKES5lDtEf/bZZ2nbti1paWnY29sXbx82bBgbNmyo0OKEEDWfl70X73R5B4Dfon9je/x2K1dkobezp2Xf+wHYv3yxlau5taNHj2IwGPD29iYgIOCWbfOyClny6SGSzmZi66DjgefC8G/oXkWVCiGEqGqBgYHMnTuXvLy84m35+fnMnj2boKCbTyL9448/EhERwTfffMOUKVNuu81fhYeHk5iYSExMDFOmTOHNN9/ko48+Kt+LEkIIK9Hb6Wg/qB5j3ulEi54BaLQKF6PT+OP9/az94Sjpl3KtXaIQVpeUk8TUnVMZtnQYf8b+iYLCwOCBLBu6jP90/A+1HOQOaHF30pX3gG3btrFz5070+pJjFdWtW5f4+PgKK0wIce/oHtCdhxs/zJwTc/jP9v+wcMhCPO2t3zM6rP8g9i9fTMLJ4yScOoFfw8bWLqlU108oeqsZzHMzC1n62SFSE3Kwd7ZhyLNheAU4VVWZQghRY6iqinpdKF2VFHv7W/6s/6vWrVtz5swZFi1aREREBACLFi0iKCiIevXqlXrMhx9+yNSpU5k7dy7Dhg277TalsbW1xcfHB4CnnnqKxYsXs2zZMl555ZUyn0MIIazNwUVPt1ENadk7kD3Lz3Jq7yVOH0jm7KHLNOnqR7uBdXF0/fshFoWoSVLzU/nh8A/MOzkPg9kAQI/AHkwOm0xD94ZWrk6IO1fuEN1sNmMy3Tg+cFxcHM7OzhVSlBDi3vNCmxfYl7SP0+mneX3H63zV+6tyhQSVwcnDkyZde3Bsy3oOrFiM3wvV7wN+UlISCQkJaDQaWrRocdN2ORkFLP30EGlJuTi66nng+TDcfRyrsFIhhKg51Lw8TrZuY5VrNzp4AMWhfGOHjh8/np9++qk4RJ85cybjxo1j8+bNN7R9+eWX+frrr1mxYgW9e/cu9XxlaVNW9vb2pKSk3NE5hBDCWly87Ok7rhlhfeuwe8kZYo+mcGxrPCd3J9KyVyBh/etga1/u2EWIu0pWYRa/HP+FX479Qq7RcjdGO592PBP2DK1qtbJucUJUoHIP59KvXz8+++yz4ueKopCdnc3UqVO5//77K7I2IcQ9xE5nxwfdP0Cv0bMtfhtzTsyxdkkAtB00FICYvbtIv5Rk3WJKcbUXeuPGjXF0LD0Uz07LZ/G0g6Ql5eLkbsvQKa0lQBdCiHvImDFj2L59O7GxscTGxrJjxw7GjBlzQ7vVq1fz4YcfsnTp0puG42VpUxaqqrJ+/XrWrl1Lr169bvs8QghRHXgFODFoUkuGTQnDJ9gFY6GZA2ti+fU/Ozm07gJGw40dEYW42+Ub8/n52M8MWDSAb6O+JdeYS1PPpnzX5ztm9JshAbqoccr9lei0adPo378/TZs2JT8/n0ceeYSYmBi8vLyYM6d6hF5CiLtTQ/eGvND2Bf63939M2z+Ndj7taODewKo1eQXVpW6rNpyPPMCBlUvoPf7GydmspbCwkKioKODmE4pmpuSx9NNDZF7Jx9nDjqEvhOHiZV9qWyGEEGWj2NvT6OABq127vLy9vRk4cCCzZs1CVVUGDhyIl5fXDe1atGjBlStXmDp1Ku3bt8fJ6cYhv8rS5lZWrFiBk5MTBoMBs9nMI488wptvvlnu1ySEENWRXwN3hv+rDeeirrB76VnSEnPYufA0hzdepN2gejTu5ItGY927bYW4UwazgcUxi/ku6juS85IBqOtSl8lhk+lbp6/V7ygXorKUO0QPCAggKiqKuXPncvjwYbKzs3n88ceJiIgoMdGoEELcjkcaP8L2+O1sj9/OS1tfYu6gudhqrTueYNuBwzgfeYBjm9fTZdQY7ByrxzjiR48epaCgAHd3d4KDg2/Yn3HZEqBnpebj4mXH0Bda4+xhZ4VKhRCiZlEUpdxDqljb+PHjmTRpEgBfffVVqW38/f1ZsGABPXv2JDw8nNWrV98wXGNZ2txKz549+eabb9Dr9fj5+aHTyTAHQoiaRVEUglt5U7eFFyd3J7J3+Tmy0wrY9OsJojZcpNOw+tQJ9ZSgUdx1TGYTq86t4uvIr4nLjgPA19GXp1o+xeD6g9Fp5He6qNlu61+4Tqcr9RZQIYS4U4qi8E6XdxixbASn00/z6YFP+Xf7f1u1pqDmLfEKrMOVi7Ec3fgnbQcPt2o9V+3fvx+Atm3botGUHJ0r/VIuSz87RHZaAa617Bn6fGuc3GVyIyGEuFeFh4dTWFiIoij079//pu3q1KnDli1bikPyNWvW3BCSl6XNzTg6OhISEnJHr0UIIe4GGo1Ck85+NGhXmyOb4zmw+jypCTms/Oow/g3d6DQ8hNp1XaxdphB/S1VVNlzYwPRD0zmTcQYATztPnmjxBA81fAi9Vm/lCoWoGuUO0X/55Zdb7n/00UdvuxghhADwsvfi3S7v8vSGp/k9+nc6+3Wme0B3q9WjKAphA4aw7vsvObR2Ja0HPoBGo7VaPQAJCQkkJCSg1Wpp1apViX1pSTks+fQQuRmFuPs48MDzYTi6SoAuhBD3Mq1WS3R0dPHjWwkMDGTz5s307NmT/v37s2bNGlxcXMrdRgghBOhstIT1DaJJZ18Oro3l8MY44k+ls+B/+wlpW4uODwTj6n133d0k7g2qqrIzYSdfHvqSYynHAHDRuzAudByPNH4EBxv5dyvuLeUO0Z999tkSzw0GA7m5uej1ehwcHCREF0JUiG4B3YhoEsHv0b/z+o7XWThkIV72N47fWlWadOvBtjk/k3n5Emf276FB+85WqwWu9UJv0qRJiQlFUxKyWfpZJHmZhXj4OfLAc2E4uEjPACGEEJQr5A4ICCgRkq9du7ZMbSRIF0KI0tk52tB5eAjNewSwd9lZTuxJ4vT+ZM4eukzoff60vb8u9k7yvl1UDwcvHeSLQ19w4JJlDhh7nT3/aPoPHmv2GC56+V0v7k2KqqrqnZ4kJiaGp556in/961+3vD20usrMzMTV1ZWMjAx54y9ENVJgKuDhlQ8TkxZDV/+ufN37a6uOHbhtzs/sXfIHAU1DGTX1f1arIz8/n2nTpmEwGBg7dix169YF4EpcFks/iyQ/24BngBMPPNdK3ogLIUQFyM/P59y5c9SrVw87O5lb4m4jf39CiOroSlwWuxad4cLxVAD0dlpah9ehRa9AbPTWvetV3LuOpxzny0Nfsj1+OwB6jZ5RjUfxeOjjeNp7Wrk6ISpHWXNhzU33lEODBg343//+d0Mv9b+zdetWBg8ejJ+fH4qisGTJkhL7x44da5m46bolPDy8RJvU1FQiIiJwcXHBzc2Nxx9/nOzs7Dt9SUKIasBWa8sH3T5Ar9GzPX47s0/Mtmo9rfoNRKPVEnf8KMnnz1qtjiNHjmAwGPDy8qJOnToAXL6QxZJPD5GfbcA7yJmhz4dJgC6EEEIIIUQ15RXgzOBnWjHk2VZ4BTpRmG9i95Kz/P7GbqJ3JmA233F/RyHK7Gz6WV7Y/AKjVoxie/x2tIqWBxs+yMrhK3mp3UsSoAtBBYXoYJlsNCEhoVzH5OTk0LJlS7766qubtgkPDycxMbF4mTNnTon9ERERHDt2jHXr1rFixQq2bt3Kk08+eVuvQQhR/TRwb8CUtlMA+GT/J5xKO2W1Wpw9vWjQoQsAB1cts0oNqqqyb98+wDKhqKIoXDqfydLPDlGQY6R2PRceeK4Vdo42VqlPCCHEvenChQs4OTnddLlw4YK1SxRCiGopsIkHI19pR59xTXH2sCMnvYCNv5xg3rt7OX/kChUweIAQNxWXFcdr219j2LJhrItdh4LCwOCBLBu6jKmdpuLj6GPtEoWoNso9JvqyZSWDI1VVSUxMZPr06XTp0qVc5xowYAADBgy4ZRtbW1t8fEr/TxsdHc2aNWvYt28fbdu2BeDLL7/k/vvv5+OPP8bPz6/U4woKCigoKCh+npmZWa66hRBV6+HGD7MjYQdb47by8taXmTNwDnY669yO3XrAEE7u3MqJHZvpHjEWB1e3Kr1+XFwcycnJ6HQ6WrZsyaVzmSz7/BCF+SZ8gl0ZPLklevty/2gXQggh7oifnx+RkZG33C+EEKJ0ikahUQcf6rf25uiWePavOk9qQg4rvzqMfyM3Og8PoVYdGXpWVJzk3GS+P/w9C2MWYjQbAegV2ItJYZNo4N7AytUJUT2VO2kZOnRoieeKouDt7U2vXr2YNm1aRdVVbPPmzdSqVQt3d3d69erFu+++i6en5TaSXbt24ebmVhygA/Tp0weNRsOePXsYNmxYqed8//33eeuttyq8ViFE5VAUhbc7v82IZSM4nX6aTw58wqsdXrVKLX4NG+MT0pCk06eIWr+aTiMertLrX51QNDQ0lMxLBpZ9EUlhvgnfEFcGTWqJ3k4CdCGEEFVPp9MREhJi7TKEEOKuprPR0qpPEI07+XJwTSyHN8URfzKdP97fT4O2tejwQH1cve2tXaa4i6XnpzPz6Exmn5hNgcnSubSTbycmh02muXdzK1cnRPVW7uFczGZzicVkMpGUlMTs2bPx9fWt0OLCw8P55Zdf2LBhAx988AFbtmxhwIABmEwmAJKSkqhVq1aJY3Q6HR4eHiQlJd30vK+88goZGRnFy8WLFyu0biFExfO09+Tdru8CMOfEHDZf3Gy1Wlrf/wAAUX+uwmQ0VNl1c3NzOXr0KADB/k1Y9nkkhXlGCdCFEEIIIYSoQewcbeg8IoSItzvSqKMPKBCzP5nZb+5m+/wY8rOr7jOIqBmyC7P5JvIbwheF89OxnygwFdDKuxUz+8/k+37fS4AuRBlU68Rl9OjRxY+bN29OixYtqF+/Pps3b6Z37963fV5bW1tsbW0rokQhRBXq6t+VfzT9B78e/5X/7PgPCwYvsMoYbQ07dGGr+wyy01I5uWs7Tbv1rJLrRkVFYTKZ8PLwZvfsJAx50gNdCCGEEEKImsrZw44+Y5vSsncguxaf4eLxVKI2XiR6VyKt+wfRslcgOr3W2mWKaizPmMfcE3OZeXQm6QXpADT2aMzksMl08++GoijWLVCIu0iZUpcXXnihzCf85JNPbruYvxMcHIyXlxenT5+md+/e+Pj4kJycXKKN0WgkNTX1puOoCyHubs+1fo4Dlw5wPOU4L299mRn9Z6DTVG2ArNXpaNlvIDvm/crBVcto0rVHpb/5UFW1eCgXY7wHSp4J3/oSoAshhBBCCFHTeQc6M+SZVlw8nsrOxae5cjGb3UvOcnRLPO0HB9Ooow8ajYSh4hqDycDCmIV8f/h7LuddBqCuS10mhU2ib52+aJRyD0whxD2vTMnLoUOHynSyyg6R4uLiSElJKR42plOnTqSnp3PgwAHatGkDwMaNGzGbzXTo0KFSaxFCWIdeq+fj7h/z0IqHOJh8kG+ivmFy2OQqr6NFn3B2L5rLpbMxJJw6gX+jJpV6vfPnz5OSkoKiatFmeuIT7MqgyRKgCyGEEEIIca8IbOrByMbtOLXvEruXniE7tYCNv0QTteECnYaHUKeZp7VLFFZmMptYcXYF30R9Q3x2PAB+jn481eopBgUPqvIOaELUJGX637Np06ZKuXh2djanT58ufn7u3DkiIyPx8PDAw8ODt956ixEjRuDj48OZM2d46aWXCAkJoX///gA0adKE8PBwnnjiCb799lsMBgOTJk1i9OjR+Pn5VUrNQgjrC3QJZGqnqby09SV+OPwD7Xza0dG3Y5XW4ODiSpOuPTm66U8OrV5W6SH69i07AbDNq4VfPQ8GS4AuhBBCCCHEPUfRKDTq4EP91t4c2RzPgdXnSYnPYcWXUQQ29aDz8BC8ApysXaaoYmbVzPrY9XwV+RVnM84C4GXvxZMtnmREgxHotXorVyjE3c+q92/s37+fsLAwwsLCAMuwMWFhYbzxxhtotVoOHz7MkCFDaNiwIY8//jht2rRh27ZtJcYz//3332ncuDG9e/fm/vvvp2vXrnz//ffWeklCiCoyoN4ARjQYgYrKK9te4UrelSqvISx8EAAxe3eSnZZaadc5ezyeM+csXzgGuDdg8ORW6O0lQBdCCCGEEOJepbPREtY3iDHvdKJVn0A0OoWLx1OZ995eNv4STU56gbVLFFVAVVW2xW1j9IrRTNkyhbMZZ3HRu/B8m+dZNXwVDzd+WAJ0ISrIbYXo+/fv56WXXmL06NEMHz68xFIePXr0QFXVG5ZZs2Zhb2/P2rVrSU5OprCwkPPnz/P9999Tu3btEufw8PBg9uzZZGVlkZGRwcyZM3Fykm9dhbgXvNz+ZULcQriSd4XXtr+GWTVX6fVr1Q3Gr1FTzCYTRzasrZRrXL6YxeJf/wRFxUHjwUPPdZcAXQghRJmMHTsWRVGYMGHCDfsmTpyIoiiMHTu2uO3QoUNLtFmwYAF2dnZMmzatzG3KUo+iKOj1ekJCQnj77bcxGo0AbN68uXi/oijUrl2bESNGcPbs2fK/eCGEuEfYOdrQ5cEGPDK1IyFta4EK0TsT+e2NXexZfpbCfKO1SxSVZH/SfsauGcvTG54mOjUaB50DE1pOYM2INYwPHY+9zt7aJQpRo5Q7RJ87dy6dO3cmOjqaxYsXYzAYOHbsGBs3bsTV1bUyahRCiFLZ6+z5qPtH2Gnt2Jmwk5lHZ1Z5Da36DwTg8PrVmIwV+wb1SlwWSz47QLYuAYD+Q3piKwG6EEKIcggMDGTu3Lnk5eUVb8vPz2f27NkEBQXd9Lgff/yRiIgIvvnmG6ZMmXLbbf4qPDycxMREYmJimDJlCm+++SYfffRRiTYnT54kISGBP/74g2PHjjF48GBMJlOZzi+EEPcqV297+v9fKCNeaoNPsCvGQjP7V57n9zd2c2xbPGZT1XY4EpXn2JVjTFg3gXFrx3Ew+SC2Wlsea/oYq0esZmKriTjrna1dohA1UrlD9P/+9798+umnLF++HL1ez+eff86JEycYOXLkLd+ICyFEZQhxD+Hf7f8NwPRD04lMjqzS6zfs0BkHVzey01I5s393hZ33SlwWSz+NJNOUiKo14OzsTGjzphV2fiGEELdPVVUMBSarLKqqlqvW1q1bExgYyKJFi4q3LVq0iKCgoOIhFf/qww8/ZPLkycydO5dx48bddpvS2Nra4uPjQ506dXjqqafo06cPy5YtK9GmVq1a+Pr60r17d9544w2OHz9eYh4lIYQQN+cT7Mrwf7Um/MlQXLztyc0sZPPvJ5n33j5ij6aU+/eIqD5Op53m+U3PM3rlaHYk7ECn6BjZcCQrh63kxXYv4mHnYe0ShajRyt2l8cyZMwwcaOl5qdfrycnJQVEUnn/+eXr16sVbb71V4UUKIcStDG8wnD2Je1h9fjUvbX2JPwb/gatt1dwZo9XZ0KJ3f3Yvmkfk2pU07Nj1js95JS6bpZ9Gkp9jwOh7CVRo164dWq22AioWQghxp4yFZr5/dotVrv3k5/dhY1u+3wfjx4/np59+IiIiAoCZM2cybtw4Nm/efEPbl19+ma+//poVK1bQu3fvUs9XljZlZW9vT0pKyi33AxQWFt7RdYQQ4l6iKAr1W9eibgsvjm6JZ9+qc6Qm5LBiehQBjd3p8mAIXgHSW/luEZsZyzdR37Dq7CpUVBQUBgUP4qlWTxHoHGjt8oS4Z5S7J7q7uztZWVkA+Pv7c/ToUQDS09PJzc2t2OqEEKIMFEXhjU5vEOgcSGJOIm/seKNKe1i06DMARaPh4vEjXLkYe0fnSonPZulnh8jPMeAcaCJPTUer1dK6desKqlYIIcS9ZsyYMWzfvp3Y2FhiY2PZsWMHY8aMuaHd6tWr+fDDD1m6dOlNw/GytCkLVVVZv349a9eupVevXqW2SUxM5OOPP8bf359GjRrd9rWEEOJepdVpaNk7kDFvX5t8NO5EGvPe28eGX6LJTpPJR6uzhOwEpu6cygNLHmDl2ZWoqPQO6s2iIYv4b7f/SoAuRBUrc0/0o0ePEhoaSvfu3Vm3bh3NmzfnoYce4tlnn2Xjxo2sW7fujnuiCCHE7XLSO/FR948Ys3oMGy9uZM6JOTzS5JEqubazpxchbTsSs3cnkX+uos/jT93WeVITciwBerYB7yBnNA0uwDFo1qyZTJgshBDViE6v4cnP77PatcvL29ubgQMHMmvWLFRVZeDAgXh5ed3QrkWLFly5coWpU6fSvn37Un/3lKXNraxYsQInJycMBgNms5lHHnmEN998s0SbgIAAVFUlNzeXli1bsnDhQvR6fbmuI4QQ4pqrk4827xHA7iVniNmfzImdiZzed4lWfYMI6xeE3k7mXqouknOT+f7w9yyMWYjRbJl3q5t/NyaGTaSZZzMrVyfEvavM78JbtGhBhw4disNzgNdee40XXniBS5cuMWLECGbMmFFphQohxN9p5tWMF9q8AMDH+z8mOiW6yq59dYLR41s3UnAbd+WkX8pl6WeHyMsy4BXoRJ8nGhB94jgA7du3r9BahRBC3BlFUbCx1VplURTltmoeP348s2bN4ueff2b8+PGltvH392fz5s3Ex8cTHh5efPdpedvcSs+ePYmMjCQmJoa8vDx+/vlnHB0dS7TZtm0bhw8fJjMzk8jISDp06FCuawghhCidi5c9/f4vlBEvt8G3vitGg5n9q87zm0w+Wi2k5KXw4b4PuX/R/cw7OQ+j2UgH3w78OuBXvu7ztQToQlhZmUP0LVu20KxZM95//32aNGnCY489xo4dO/j3v//NsmXLmDZtGu7u7pVZqxBC/K0xTcbQI6AHBrOBf239FzmGnCq5bmCzFnj4B2LIz+P4to3lOjbzSh5LPztEbmYhnv6OPPBsGMdOHMFkMuHn50dAQEAlVS2EEOJeER4eTmFhIQaDgf79+9+0XZ06ddiyZQtJSUk3DcnL0uZmHB0dCQkJISgoCJ2u9F6P9erVo379+jg7y3i9QghRGXzquTLsxdaE/zMUV2978oomH5377j7OH7kik49WsYyCDD4/+DkDFg3g1+O/UmAqoHWt1szsP5Mf+/1Iq1qtrF2iEIJyhOjdunVj5syZJCYm8uWXX3L+/Hnuu+8+GjZsyAcffEBSUlJl1imEEGWiKArvdHmH2g61ic2M5d3d71bJm0BFUWjV734AIteuLPM1s1LzWfLJIbLTCnD3cWDIs2HY2GvYt28fIL3QhRBCVAytVkt0dDTHjx//24mqAwMD2bx5M8nJyfTv35/MzMzbaiOEEKL6UhSF+mG1eHhqB7qObICto460xBxWfnWYZZ9Hcvli+e40EuWXVZjFN5HfEL4wnB+P/EieMY9mns34ts+3zAqfRTufdtYuUQhxnXIPqujo6Mi4cePYsmULp06d4qGHHuKrr74iKCiIIUOGVEaNQghRLm52bnzQ/QM0ioYVZ1ew9MzSKrlu0+69sbGzJzX+IhePHfnb9jnpBSz59BBZqfm4etvzwPNhOLjoOXnyJJmZmTg4ONCsmdyyJ4QQomK4uLjg4uJSprYBAQFs3ryZK1eu3DQkL0sbIYQQ1ZtWp6Flr0D+8U4nwvoGFU8+Ov+/+9jw83Gy0/KtXWKNk2vI5ccjPxK+MJyvo74m25BNQ/eGfNHzC+YMnEMX/y63PXybEKLyKOoddtHMycnh999/55VXXiE9PR2TyVRRtVWZzMxMXF1dycjIKPMHCyFE9fdd1HdMj5yOvc6euQPnEuwWXOnXXP/j10StW0WDDp0Z8sKrN22Xm1nIkk8OkpaUi4uXHUNfaI2zhx0As2bN4vz583Tt2pU+ffpUes1CCCFuLT8/n3PnzlGvXj3s7OysXY4oJ/n7E0KIssu8klc8+SiAzkYjk49WkHxjPvNPzmfG0Rmk5qcCUM+1Hk+3epp+dfqhUco/ebgQ4s6VNRe+7f+hW7duZezYsfj4+PCvf/2L4cOHs2PHjts9nRBCVLj/a/5/dPDtQJ4xjylbppBrKP+En+V1dYLR0/t2k5VypdQ2edmFLP3sEGlJuTi52/LAc2HFAXpycjLnz59HURTatm1b6fUKIYQQQgghxFUlJh8NuW7y0dd3cXSrTD56OwwmA/NOzGPgooF8tP8jUvNTCXQO5L9d/8viIYsJrxsuAboQd4Fy/S9NSEjgv//9Lw0bNqRHjx6cPn2aL774goSEBH744Qc6duxYWXUKIUS5aTVa/tftf3jaeXI6/TTv7Xmv0sdH9wqsQ0DTUFSzmcMb1tywPz/HwLLPI0lNyMHBVc8Dz4fh4mVfvH/37t0ANG7cGDc3t0qtVQghhKgoFy5cwMnJ6abLhQsXrF2iEEKIcvCp58qwKa0Z8M/mlslHswxsmX2Sue/slclHy8hoNrI4ZjGDFg/i3T3vkpyXjI+jD292epOlQ5cyuP5gtJpbz1MihKg+ynwvzoABA1i/fj1eXl48+uijjB8/nkaNGlVmbUIIcce87L34sPuHPLHuCZadWUbb2m0Z1mBYpV6zVb9BxB0/yuH1a+g4fBRanQ0AhXlGln8RyZWL2dg72zD0+TDcajkUH5eTk0NUVBSAfCkphBDiruLn50dkZOQt9wshhLi7KIpCcJg3dZp7cnRrPPtWniMtKZeVXx0moLE7XR5sgFeAk7XLrHZMZhOrz6/m26hvic2MBcDb3psnWjzBiAYj0Gv1Vq5QCHE7yhyi29jYsGDBAgYNGoRWK9+UCSHuHu192zOx1US+PPQl7+15j6aeTWnkUXlfAoa064ijuwc5aamc3reHRp26UphvZPmXUSTHZmHnaMMDz4Xh7uNY4rj9+/djMpnw8/MjKCio0uoTQgghKppOpyMkJMTaZQghhKgEVycfbdzRhwOrY4nadJG4E2nMe28vTTv70n5IMI6uttYu0+rMqpkNFzbw1aGvOJNxBgB3W3ceb/44oxqNwk4n83IIcTcrc4i+bNmyyqxDCCEq1f81/z8OXjrIjoQdTNkyhbkD5+Kkr5xeE1qdjuY9+7J70TwOr19NcJtOrPr6MElnM7B10DHk2VZ4+pe8ttFoZO/evYClF7rMxi6EEEIIIYSoTmwdbOg8IoTQ+/zZtfgMpw8kc3xHIqf2J9OmfxAt+wRho7/3Ol2qqsrWuK1Mj5zOidQTADjrnRnXbBwRTSJwsHH4mzMIIe4GMnOBEOKeoFE0vN/tfWo71CY2M5a3dr1VqeP4Ne/VHxSFC0ejWPrJJuJPpWNjp2Xw5FZ4Bznf0P7o0aPk5OTg7OxMs2bNKq0uIYQQQgghhLgTLl729H8ilOH/akOtui4YC0zsWXaO2VN3c3JPEqr53hgvXVVVdibsZMyqMUzaOIkTqSdwtHFkQssJrBmxhidaPCEBuhA1iIToQoh7hrudOx/f9zE6Rcea82uYd3JepV3LxbsW9Vq2ASDu+DZ0tloGT2pJ7XouN7RVVZVdu3YB0L59exkySwghhBBCCFHt+dZ35cGX2tD38aY4ediSnVbA+p+Os+CD/STEpFu7vEq1P2k/49aO45/r/snhK4ex19kzPnQ8a4avYWKribjob/zcJ4S4u5V5OBchhKgJWtVqxXNtnuPj/R/z4b4Pae7dnGaeFd/z22QyYzQ1BfZjKjzOgCcn4hviVmrb8+fPc+nSJWxsbGjTpk2F1yKEEEIIIYQQlUHRKDRs50NwS2+iNl7kwJpYkmOzWDztIPXDvOk0vD6u3jWnN/bhy4eZfmg6uxItnaD0Gj0jG43k8eaP42XvZeXqhBCVSUJ0IcQ959Gmj3Lg0gE2XdzElM1TmD94foX2FDCbVTb8dJzkix4oGidUczY56dFArVLbX+2F3rJlSxwcas4bTCGEEEIIIcS9QafX0ia8Lk06+7F3+VmOb0/gzKHLnDt8hRY9A2h7f11sHWysXeZtO3rlKF9FfsX2+O0A6BQdwxsM54kWT+Dj6GPl6oQQVUGGcxFC3HMUReGdLu/g7+RPfHY8r29/vcLGR1dVlS2/nyBmfzJanZbGXfsAcHjd6lLbp6SkcOrUKcAyoagQQgghhBBC3K0cXPT0iGjMqP+0J7CpB2aTSuT6i/z2+m4Ob4rDZDJbu8RyOZZyjEkbJvHwyofZHr8draJlaMhQlg9bzuudXpcAXYh7iIToQoh7kqutK9Pum4aNxoaNFzfy6/Ff7/icqqqyc+Fpju9IRFGg7/hmdHt4KIpGQ1z0UVLiLt5wzO7duwFo0KABXl5y+58QQoiKM3bsWBRFYcKECTfsmzhxIoqiMHbs2BLbd+3ahVarZeDAgTccc/78eRRFKV48PT3p168fhw4dKm7To0cPnnvuuRLHff7559ja2jJ37twKeV1CCCGqP09/J4Y804pBk1vi7utIfo6BbfNOMfftvZw/fKXCOjFVlhOpJ3hm4zOMXjGaLXFb0CgahtQfwrKhy3inyzsEOAdYu0QhRBWTEF0Icc9q5tWMl9q9BMCnBz4lMjnyjs53YHUskestQXmPMY0JaVMLZw8vglu3B+DwhjUl2ufl5REZablmp06d7ujaQgghRGkCAwOZO3cueXl5xdvy8/OZPXs2QUFBN7SfMWMGkydPZuvWrSQkJJR6zvXr15OYmMjatWvJzs5mwIABpKenl9p26tSpvPrqqyxdupTRo0dXyGsSQghx96jTzJPR/2nHfY80wt7ZhvRLuaz8+jBLP4vk8sUsa5d3g1Npp3h+0/M8tPwhNl3chEbRMCh4EEsfWMp7Xd8jyOXG351CiHuDhOhCiHvaqEajCK8bjlE18uKWF0nLT7ut8xzeFMeeZWcB6PpQA5p28Sve17JPOADHt2zAUFhQvP3AgQMYDAZq1apFvXr17uBVCCGEqEqqqmLIz7fKUt6ee61btyYwMJBFixYVb1u0aBFBQUGEhYWVaJudnc28efN46qmnGDhwILNmzSr1nJ6envj4+NC2bVs+/vhjLl26xJ49e274M5o8eTJffPEF69atIzw8vFx1CyGEqDk0Wg2h3f2JeLsTrfsHodVpiD+Zxvz/7mPjL9HkZBT8/UkqWUxaDC9sfoERy0aw/sJ6FBQG1BvA4gcW836396nrWtfaJQohrEwmFhVC3NMUReHNzm9yIvUE5zPP8+r2V/mq91dolLJ/x3hidyLb5lnGNW83sC4teweW2F+nZRgu3rXIvJzMqV3baXZfb0wmE3v37gUsY6ErilJxL0oIIUSlMhYU8MVjD1rl2s/8vAAbO7tyHTN+/Hh++uknIiIiAJg5cybjxo1j8+bNJdrNnz+fxo0b06hRI8aMGcNzzz3HK6+8csvfUfb29gAUFhYWbzMajYwZM4aNGzeyZcsWWrRoUa56hRBC1Ey29jo6DQuhWTd/di85Q8z+ZKJ3JhJzIJnW/YJo1TcIG722Sms6m36Wb6K+Ye35tahYvqjuX7c/T7V8ivpu9au0FiFE9SY90YUQ9zxHG0c+vu9jbLW2bI/fzg+HfyjzsWcPXWbjLycAaNErgHaDbuxRrtFoadHb0gPv8HrLkC5Hjx4lMzMTR0dHmjdvXgGvQgghhCjdmDFj2L59O7GxscTGxrJjxw7GjBlzQ7sZM2YUbw8PDycjI4MtW7bc9Lzp6em88847ODk50b59++LtP/zwAwsWLGDTpk0SoAshhLiBi5c9/f4vlBEvtaF2PReMBSb2Lj/H72/s5uTuRFRz5Y+Xfi7jHC9vfZmhS4ey5vwaVFT61unLwiEL+fi+jyVAF0LcQHqiCyEE0MijEa91eI03dr7BV5Ff0dyrOZ39O9/ymIvRqaydcRTVrNK4kw9dH2xw0956oT37svOP30k4Fc3l2HPs2LEDgA4dOmBjY1Phr0cIIUTl0dna8szPC6x27fLy9vYuHp5FVVUGDhx4w2TWJ0+eZO/evSxevNhyHZ2OUaNGMWPGDHr06FGibefOndFoNOTk5BAcHMy8efOoXbt28f6uXbsSGRnJ66+/zpw5c9Dp5COHEEKIG/kEuzLipTacPpDMrkVnyErNZ/2saKI2xtHlwRD8G7pX+DUvZF7g26hvWXluJWbVDECvwF483eppGnk0qvDrCSFqDnlHK4QQRYY1GEbU5SgWxizkpW0vMX/QfPyc/Eptm3Q2g1XfHsFsVAkO86bnmMYompvf7u7o5k79th2I2bOTzSuWkXw5DRsbG9q1a1dZL0cIIUQlURSl3EOqWNv48eOZNGkSAF999dUN+2fMmIHRaMTP79rvPVVVsbW1Zfr06bi6uhZvnzdvHk2bNsXT0xM3N7cbztW8eXOmTZtGnz59GDVqFPPmzZMgXQghRKkURaFB29rUa+nF4Y1x7F99nssXsljyySGCW3nTaXh93Go53PF1LmZd5Luo71hxdgUm1QRAj8AePN3yaZp4Nrnj8wshaj4ZzkUIIa7zSodXaOrZlIyCDF7Y/AIFphsnubkSl82K6VEYC0wENvWg3/hmaLR//+O0ZZ/7ATh5IQ6ANm3aFI8lK4QQQlSm8PBwCgsLMRgM9O/fv8Q+o9HIL7/8wrRp04iMjCxeoqKi8PPzY86cOSXaBwYGUr9+/VID9KtatWrFhg0b2Lp1KyNHjsRgMFTGyxJCCFFD6Gy0tO5fhzFvd6JZd38UBc5GXmbOW3vY/kcM+Tm393skPjueqTunMnjxYJaeWYpJNdE9oDtzB87ly15fSoAuhCgz6RIihBDXsdXa8mmPTxm5YiTHUo7x/p73ebPzm8X70y/lsuyLSApyjfgEuzLgn83R2pTt+8ig0BbY+wWRZe+Ioih07Nixkl6FEEIIUZJWqyU6Orr48fVWrFhBWloajz/+eIke5wAjRoxgxowZTJgwodzXbNmyJRs3bqR3796MHDmS+fPnyxBmQgghbsnBRU+PRxrRvIc/Oxee4cKxFKI2XOTE7kTaDaxH6H3+aMvQgSkxO5Hvj3zPkpglGFUjAF38u/B0y6dp4S3zdQghyk96ogshxF/4OfnxYbcPUVBYGLOQxTGW8WGzUvNZ+vkh8jIL8Qp0YtCkFtjYln32eEWjQVMnBAAnU+Ete/AJIYQQFc3FxQUXF5cbts+YMYM+ffrcEKCDJUTfv38/hw8fvq1rNm/enI0bN7Jz504eeughCgsLb+s8Qggh7i2efk4MntySwZNb4uHnSEGOke3zY5j79l7ORV1GVUuffDQpJ4l3d7/L/YvvZ8GpBRhVI518O/HrgF/5ts+3EqALIW6bot7sJ889JDMzE1dXVzIyMkr9YCGEuDd9F/Ud0yOno9fomXHfzxybkU36pVzcajswbEprHFz05TpfSkoK06dPR1VVHM4eY/x7H+MVWKeSqhdCCFFR8vPzOXfuHPXq1cPuLhsLXcjfnxBC3O3MJjPROxPZs+wseVmWYV38G7nRZUQDvIOcAbiUc4kZR2ew4NQCDGZLmw4+HXi61dO0rt3aarULIaq/subCMpyLEELcxBMtnuDIlSPsOr+XVV8ewTWrNk7utgx5tlW5A3SAXbt2oaoqLloFtSCPo5v+pMejT1RC5UIIIYQQQghRM2i0Gpp186dB29ocWBtL1PqLxJ9MZ/77+6jT1pWoeutZGD+vODxvU7sNE1tNpJ1POytXLoSoSWQ4FyGEuAmNouGt9u8wNGYSrlm1MdrmM/jZljh7lL8XW3Z2NpGRkQB07NgBgGNbN2GUidaEEEIIIYQQ4m/p7XV0GlqfR97qQGCYC6gQuy8DxwUtaBHbm7Ye7fmx34/81P8nCdCFEBVOQnQhhLgJk9HMzp9i8UgPoECbx+JGXzAv6dfbOtfevXsxGo34+fnRoVcfnDw8yc/K5Mz+3RVctRBCCCGEEELUTPHZ8Xx66kOmOjzBotBPSHI+i43ZlnZxA7hv+zhczwfBPT9osRCiMkiILoQQpTCbVdbNPMaF46no9BoCR6qkOMbzTdQ3bIvbVq5zFRYWsm/fPgC6dOmCVqsjtGdfAI5s/LPCaxdCCCGEEEKImiQuK443d77JoEWDLBOGmo3UbVCbwS+0oP8ToTh72pGTUciGn6P543/7iT+ZZu2ShRA1jIyJLoQQf6GqKpt/O8GZg5fR6BQGTGhOUFNPTugPMf/UfP697d/MGzSPAOeAMp1v//795OXl4eHhQZMmTQAI7dGX3YvmEXv4EBnJSbjW8qnMlySEEEIIIYQQd52LWRf54fAPLD+zHKNqBKCjb0cmtJxAm9ptLI18oW4LTw5viuPAqvNcvpDFkk8PUa+lF52Hh+BW28GKr0AIUVNIT3QhhLiOqqrsWHCa6J2JKAr0e7wZQU09AXi5/cs092pOZmEmL2x+gXxj/t+ez2AwsHPnTgC6du2KRmP5setaqzZ1mrcC4Ojm9ZXzYoQQQgghhBDiLnQh8wL/2f4fBi8ezOLTizGqRjr7debXAb/yQ78frgXoRXQ2Wlr3q8OYdzoRep8/ikbhXNQV5ry1h23zT5GfI3NRCSHujIToQghxnf2rzhO14SIAPf/RhPphtYr36bV6PunxCe627kSnRvPWrrdQ1VsPuBcZGUl2djYuLi60aNGixL7mvfoBcHTTOsxmUwW/EiGEEEIIIYS4u5zPOM9r219jyJIhLD2zFJNqoot/F34d8Cvf9f2OVrVa3fJ4e2c99z3ciNGvt6dOc0/MZpXDG+P47fVdRG24iMlorpoXIoSocWQ4FyGEKBK18SJ7l58DoOtDDWjS2feGNj6OPnx838c8ue5JVpxdQROPJjza7NFSz2cymdi+fTtgGQtdpyv5I7d+247YObuQnZrC+aiDBIfJDPJCCCGEEEKIe8/ZjLN8f/h7Vp9bjVm1BN3d/LsxoeUEWni3+Jujb+Th68igiS25eDyVHQtjSInPYfsfMRzZHEfn4SHUa+WFoigV/TKEEDWY9EQXQgggemci2+fHANB+cD1a9g68adv2vu15se2LAHxy4BN2J+4utd2RI0fIyMjA0dGR1q1b37BfZ2NDs+49LW03yASjQgghhBBCiHvL2fSzvLT1JYYuGcrKsysxq2buC7iPOQPn8HWfr28rQL9eYFMPRr7Wnp5jGmPvoifjch6rvzvCkk8OkRybWUGvQghxL5AQXQhxzztzKJlNv0YD0LJ3IG3vr/u3x0Q0iWBI/SGYVBP/2vIv4rPjS+w3m81s27YNgE6dOmFjY1PqeUJ7WoZ0OXtwLznpMoO8EEIIIYQQouY7nXaaf235F0OXDmX1udWoqPQI7MHcQXOZ3ns6oV6hFXYtjUahaVc/xrzdkbb310VroyEhJp0/3t/P+p+Ok53293NdCSGEhOhCiHvaheMp/PnjMVQVmnT2pcuDIWW6rU9RFF7v+DrNPJuRXpDOsxufJc+YV7w/OjqalJQU7OzsaNu27U3P4xVYB98GjTCbTBzbsqFCXpMQQggBMHbsWBRFYcKECTfsmzhxIoqiMHbs2BLbd+3ahVarZeDAgTccc/78eRRFKV48PT3p168fhw4dKm7To0cPnnvuuRLHff7559ja2jJ37ty/rblHjx7F57ezs6Np06Z8/fXXZXvBQgghqr2YtBimbJ7C8GXDWXN+DSoqvQJ7MX/QfL7s9SXNPJtV2rX1djo6DAkm4q2ONOrgA8DJPUn8/sZu9iw7S2G+sdKuLYS4+0mILoS4ZyWeyWD1t0cwm1Tqt/amx5jG5RoXz05nx2c9P8PDzoOTaSeZumMqqqqiqipbt24FoEOHDtjZ2d3yPM179Qfg6KY//3aiUiGEEKI8AgMDmTt3Lnl5177ozc/PZ/bs2QQFBd3QfsaMGUyePJmtW7eSkJBQ6jnXr19PYmIia9euJTs7mwEDBpCenl5q26lTp/Lqq6+ydOlSRo8eXaaan3jiCRITEzl+/DgjR45k4sSJzJkzp0zHCiGEqJ6Opxzn+U3PM3zZcP6M/RMVlb51+rJg8AI+7/U5TTybVFktzh529BnXlIdeaYtviCtGg5n9q87z+xu7Ob4jAbNZPpMJIW4kIboQ4p50JS6LFdOjMBaaCWrqQd9xzdBoyj+xjI+jD9Pum4ZO0bH6/Gp+PvYzp06d4tKlS+j1ejp06PC352jUuRs2dvakJSYQH33sdl6OEEKIKqSqKuZCk1WW8n7Z2rp1awIDA1m0aFHxtkWLFhEUFERYWFiJttnZ2cybN4+nnnqKgQMHMmvWrFLP6enpiY+PD23btuXjjz/m0qVL7Nmz54Y/o8mTJ/PFF1+wbt06wsPDy1yzg4MDPj4+BAcH8+abb9KgQQOWLVtW9hcthBCi2ohMjuTp9U8zasUo1l9Yj4JCvzr9WDhkIZ/0+IRGHo2sVlutOi4Mm9Ka8H+G4uJtT25mIZt+PcH89/ZxMTrVanUJIaonnbULEEKIqpZ+KZdln0dSmGfEN8SV8AnN0drc/neKbX3a8lL7l/jvnv/y6YFPScuxjG3etm1bHBwc/vZ4vZ09jTt348jGPzmycS0BTStu/D8hhBAVTzWYSXhjp1Wu7fd2ZxS9tlzHjB8/np9++omIiAgAZs6cybhx49i8eXOJdvPnz6dx48Y0atSIMWPG8Nxzz/HKK6/c8i4te3t7AAoLC4u3GY1GxowZw8aNG9myZQstWtzZpHD29vYlzi+EEKJ6U1WVfUn7+P7w9+xJsnzJqlE03F/vfv6v+f9R362+lSu8RlEU6ofVom5zL45sjmP/qvOkxGez7PNI6jb3pPOIENx9HK1dphCiGpCe6EKIe0pWaj5LPztEXpYBr0AnBk5siU05w4jSjG40mmEhw/DM8yQjOQOtVkunTp3KfPzVIV1O7d5Bfk72HdcjhBBCXDVmzBi2b99ObGwssbGx7NixgzFjxtzQbsaMGcXbw8PDycjIYMuWLTc9b3p6Ou+88w5OTk60b9++ePsPP/zAggUL2LRp0x0F6CaTid9++43Dhw/Tq1ev2z6PEEKIqqGqKtvjt/PYmsd4/M/H2ZO0B52iY3iD4Swfupz3u71frQL062l1Glr1CWLM251o0TMAjUbh/JEU5ry9l61zTpKXLV/mCnGvk57oQoh7Rm5mIcs+jyQ7rQC32g4MntwKW/uK+TGoKAqvdniVqbumAnDJ4xJau7KH8z4hDfEKrMOVi7FEb99MWP9BFVKXEEKIiqfYaPB7u7PVrl1e3t7excOzqKrKwIED8fLyKtHm5MmT7N27l8WLFwOg0+kYNWoUM2bMoEePHiXadu7cGY1GQ05ODsHBwcybN4/atWsX7+/atSuRkZG8/vrrzJkzB52ufL9rv/76a3788UcKCwvRarU8//zzPPXUU+V+3UIIIaqGWTWz6eImvj/8PcdTjgOg1+gZ3mA440PH4+vka+UKy87OyYZuoxrSvEcAOxed5lzUFY5siefk3ku0HVCXFj0D7uguZiHE3UtCdCHEPaEg18CyLyJJv5SLk4ctQ55thYOLvkKvER8bj322PWbFzB67Pby+43U+vu/jMk1WqigKzXv1Y9PPP3Bs83oJ0YUQohpTFKXcQ6pY2/jx45k0aRIAX3311Q37Z8yYgdFoxM/Pr3ibqqrY2toyffp0XF1di7fPmzePpk2b4unpiZub2w3nat68OdOmTaNPnz6MGjWKefPmlStIj4iI4LXXXsPe3h5fX180GgkrhBCiOjKZTfwZ+yffH/6e0+mnAbDX2TOy4Ugea/YY3g7eVq7w9rnVduD+p1oQdzKNHQtiuHIxm52LTnN0axydhoVQv7V3mT7nCSFqDnlHKoSo8QwFJlZMP0xKXDb2LnoeeDYMZw+7Cr2Gqqps2rQJgJDQEIx6I3/G/smMozPKfI7GXXug0eq4dPY0l2PPVWh9Qggh7m3h4eEUFhZiMBjo379/iX1Go5FffvmFadOmERkZWbxERUXh5+fHnDlzSrQPDAykfv36pQboV7Vq1YoNGzawdetWRo4cicFgKHOtrq6uhISE4O/vLwG6EEJUQwazgSWnlzB06VBe2voSp9NP42TjxBPNn2DtiLW82O7FuzpAv15AI3ceeqUdvR5tgqOrnswr+az94SiLPjpI0rkMa5cnhKhC0hNdCFGjmQxmVn93hKSzGdg66BjyTCvcav/9ZJ/ldebMGeLi4tDpdAzrNwz7RHve3vU2Xxz8gmDXYHoF/f1Yrg4urtRv056YvTs5unk9PR97osLrFEIIcW/SarVER0cXP77eihUrSEtL4/HHHy/R4xxgxIgRzJgxgwkTJpT7mi1btmTjxo307t2bkSNHMn/+fGxsbG7/RQghhLCqQlMhS04vYebRmcRnxwPgauvKmCZjeKTJI7joXaxcYeXQaBSadPYlpE0tDq27wKE/Y0k6m8HCDw7QoF1tOg4NxsXT3tplCiEqmXTtEELUWGaTmXUzj3HxeCo6vYZBk1riFeBU4de5vhd627ZtcXZ25qGGDzG60WhUVP697d+cTD1ZpnM169EHgOhtmzAZy95rTwghhPg7Li4uuLjcGHDMmDGDPn363BCggyVE379/P4cPH76tazZv3pyNGzeyc+dOHnroIQoLZWI2IYS42+QZ8/jt+G8MWDiAd3a/Q3x2PB52HrzQ5gXWjljLhJYTamyAfj0bWy3tB9Uj4q1ONO7kAwrE7LvE7Kl72LXkDIV5RmuXKISoRIqqqqq1i7C2zMxMXF1dycjIKPWDhRDi7qOaVTb+Gs2JXUlodAqDJrYksIlHpVwrJiaG33//HZ1Ox7PPPouzszNguc3xqfVPsSdxD36OfsweOBtPe89bnstsMvH902PJSU9jyJRXadDeOhPXCSGEuCY/P59z585Rr1497OwqdjgwUfnk708IIW5PjiGHuSfm8svxX0jNTwWglkMtxoeOZ0SDEdjp7u2fqZcvZLFjYQzxJ9MBsHe2of3gYJp28UWjlT6rQtwtypoLW/V/9datWxk8eDB+fn4oisKSJUtK7FdVlTfeeANfX1/s7e3p06cPMTExJdqkpqYSERGBi4sLbm5uPP7442RnZ1fhqxBCVDeqqrJ9QQwndiWhaBT6Px5aaQH69b3Q27VrVxygA9hobJh23zSCnINIyEnghc0vUGi6dQ88jVZLk249ATi6eX2l1CyEEEIIIYQQN5Oen87XkV/Tb0E/Pjv4Gan5qfg7+TO101RWD19NRJOIez5AB/AOcuaB58K4/6nmuNV2IC/LwJbZJ5n33j4uHEuxdnlCiApm1RA9JyeHli1b8tVXX5W6/8MPP+SLL77g22+/Zc+ePTg6OtK/f3/y8/OL20RERHDs2DHWrVvHihUr2Lp1K08++WRVvQQhRDW0b8U5Dm+MA6DXo40JDqu8SW1iYmJISEhAp9PRpUuXG/a72rryZe8vcbZx5mDyQd7Z/Q5/dwNQaI++AJw7tJ+c9LRKqVsIIYSoatu2bcPJyemmixBCCOtKykniw30f0m9hP76J+obMwkzqutTlva7vsXzYch5s+CB6rd7aZVYriqJQr6U3o99oT7dRDbB11JGakMPyL6NY/mUkKQnSyVOImqLaDOeiKAqLFy9m6NChgKV3p5+fH1OmTOHFF18EICMjg9q1azNr1ixGjx5NdHQ0TZs2Zd++fbRt2xaANWvWcP/99xMXF4efn1+p1yooKKCgoKD4eWZmJoGBgTKcixA1QOT6C+xYcBqAbqMa0KJnYKVdS1VVfvjhBxISEujcuTP9+vW7adsd8Tt4esPTmFUzL7Z9kceaPXbLc8/+zxQSY07Sfcx42g0eXtGlCyGEKAcZDqRi5OXlER8ff9P9ISEhlXJd+fsTQohbO59xnp+O/cSyM8swmi3jejfxaMLjzR+nT1AftBrt35xBXJWfY2D/6vMc2RSH2aSiKNC0qx/tBwfj4CJfQAhRHd0Vw7ncyrlz50hKSqJPnz7F21xdXenQoQO7du0CYNeuXbi5uRUH6AB9+vRBo9GwZ8+em577/fffx9XVtXgJDKy8kE0IUXWO70goDtA7DKlXqQE6wKlTp0hISMDGxobOnW89dnkX/y78q+2/APjkwCdsjdt6y/ZXe6Mf3bTub3uuCyGEEHcDe3t7QkJCbroIIYSoWtEp0UzZPIUhS4awKGYRRrORtrXb8m2fb5k3aB796/aXAL2c7Bxt6PpgAx6e2oHgMG9UFY5tS+C3N3ZxYM15jAaTtUsUQtymahuiJyUlAVC7du0S22vXrl28LykpiVq1apXYr9Pp8PDwKG5TmldeeYWMjIzi5eLFixVcvRCiqp0+kMzm304A0KpPIG0G1K3U65nNZjZs2ABA+/bty3QbekSTCEY0GIFZNfPy1pc5k37mpm0bde6GTm9LavxFkk6fqrC6hRBCCCGEEPcuVVXZl7SPCesmMHLFSP6M/RMVlR4BPfh1wK/8FP4TXfy7oCiKtUu9q7nVcmDAP5szbEpratVxxpBvYveSs8yeuodT+5Kko5QQdyGdtQuwBltbW2xtba1dhhCiglw4lsK6mcdQVWjSxZfOI0Iq/U3f0aNHSU5OxtbWttSx0EujKAqvdXiN2MxY9l/az6QNk5gzcA5udm43tLV1cKRB+05Eb9/M0c3r8G3QqIJfgRBCCCGEEOJeoaoqW+K28OORH4m6HAWARtEQXjecx5s/TkP3hlausGbya+DGgy+35dS+S+xecoas1HzWzTjO4Y1xdHmwAb71Xa1dohCijKptiO7j4wPApUuX8PX1Ld5+6dIlWrVqVdwmOTm5xHFGo5HU1NTi44UQNVvC6XRWf3sEs0mlfuta9IhoXOkButFoZNOmTQB06dIFBweHMh9ro7Xhkx6f8PDKh4nLjuOFLS/wXd/vsNHY3NC2WY8+RG/fzMmd2+jx2BPY6OXLPyGEEEIIIUTZGc1G1p5fy49HfuR0umXoS71Gz9CQoYwNHUugswxvW9lUILhtLfxDPTiyMY7D6y5w6Vwmiz46QEALT5qF18HewxazWcVkVjGpReuixaxevwaj2YzZDCZVLXGM2axiLGqnqmBWVcyq5QuU659b9l/bd21byTYAZnMpx/CXY8x/OUZVS1zbbC5qS+nX+Wt9ltNYtl3tr68WHX9129We/Fc79KtX26vXPb7uL+D6bVfPxXXno8T5r537b693/fmK9/213mu1FZd03f6S/1bU69rc+O/oZvso83HqTfe1CXJnxth2fz2xuE61DdHr1auHj48PGzZsKA7NMzMz2bNnD0899RQAnTp1Ij09nQMHDtCmTRsANm7ciNlspkOHDtYqXQhRRS5fyGLl9CiMBjNBzTzoO74pGk3l33Z46NAh0tLScHR0pGPHjuU+3t3Onem9phOxKoJ9Sft4b/d7TO009YbwP6hZC1y8a5F5OZnTe3fRpGuPCnoFQgghhBBCiJqswFTA0tNL+enoT8RlxwHgaOPIyEYjebTpo3jZe1m5wpJU1RIAG0xmCo1mCovWBlNp2yyL0XTtGJNZLX5uNFuOMxWtjVcfm1WMJrOlzdW2V58XPb563PXntWyzPDearz2+PrS+FnhzQxD+V4520AUbmhdqiTucwvnDVzhoa2S3rZGCajvosqjpsgqM1i6h2rNqiJ6dnc3p06eLn587d47IyEg8PDwICgriueee491336VBgwbUq1eP119/HT8/P4YOHQpAkyZNCA8P54knnuDbb7/FYDAwadIkRo8ejZ+fn5VelRCiKqQl5bD8y0gK8034hrgS/s/maHWV/46jsLCQLVu2ANC9e3f0+tubYT3EPYSP7vuIyRsnszBmIXVc6jAudFyJNopGQ7P7erNrwRyObl4vIboQQgghhBDilrILs5l/aj6/Hv+VK3lXAHC3dWdM0zGMbjwaF71LcdurwXWB0Uy+wXRtbTBTYDSR/5d1gdFMQVG764+5GnAbrq5NZgqNainbSj42mNQS2+6VYcJzNPCng4FDtkZ65NlQ16ilfYENzQt17HMyc9JRRaNV0CgKWg1oFQWNRkF7dVEsa83VtUZBq1C8/+p2AI2ioFEsa6XosaJc3a5c99gy/Oj1z68eY9l24zEKoNGUcgwUXatoW1EbhevPW/K6119f4eqa4ucAFG9Tru27bv/VPmkl9l+3Tyluc+38N7S/esy1S95wPuW6fdxQ762vV7y/lPOV5q/7iv8sStunlN7uxn2lH2dnI5MI/x2rhuj79++nZ8+exc9feOEFAB577DFmzZrFSy+9RE5ODk8++STp6el07dqVNWvWYGdnV3zM77//zqRJk+jduzcajYYRI0bwxRdfVPlrEUJUncyUPJZ9HklelgHvIGcGTmyJjb5qfuDv2bOH7Oxs3Nzciu+AuV3dA7rzUruX+N/e//HJgU8IcA6gb52+JdpcDdEvHI0i83IyLt61bnI2IYQQQgghRE1gMqvkGUzkFhrJLzSTazCSV2iyLAYTuUXr65+nFaRwPHsVZwv+xEguADaqBx6GfthndWLhBh2z1x64ITAvpaN0taHXabDVarDRabDRKuh1Gmy0GvRay1qrUbDRKug0GnRaBZ1GQafVFK9tikJlndZyvKV90f6rba8ep7naxrLt6mObEuf8y7U0GjQaioNtzfUBd9E1rgbalv0Uh9w6zbWgO/ZoCjsXnoakXLpnaXnA0YHOQ0OoE+opE7wKUY0oqkwJTGZmJq6urmRkZODi4vL3BwghrCY3s5BFHx0g43Ie7j4ODJvSGnvn2+sNXl55eXl8/vnn5OfnM2zYMFq2bFkh5/3vnv8y58QcbLW2zOw/kxbeLUrsn//2q1w8dpjOD0XQ6cGHK+SaQgghyi4/P59z585Rr169Ep05qruxY8fy888/889//pNvv/22xL6JEyfy9ddfF3deuWrXrl107dqV8PBwVq5cWeKY8+fPU69eveLnHh4etGnThg8++ICwsDAAevToQatWrfjss8+K233++ee89NJL/Pzzz4wePfqWNffo0aP4ji9bW1uCg4OZNGkSTz/9NACzZs1i3DjLnVuKouDn50ffvn354IMPqFWr9C+a79a/PyFE9Wc0mckpNJFTYLQsRY+z//LcslwNvo3FwXf+XwLxq48LjeYy16DoL6P32IaN60EUjWU4BlOBN4UpPTBmtALK3tlIr9Ngp9Nga6PFVqfB7i/r0rbpry5aLTY6Bb1WUzLs1mmKtimlbCtqVxSS2xad42rQfS8FyGaTmePbE9iz/Bz52QYAAhq70+XBBngFOFm5OiFqtrLmwtV2THQhhPir/BwDyz6PJONyHs4edgx5tlWVBegAO3bsID8/H29vb5o3b15h532p3UvEZ8ezNW4rkzdOZvbA2fg7+RfvD+3Rh4vHDnNsy3o6Dh+FopGB8oQQQpRNYGAgc+fO5dNPP8Xe3h6whMqzZ88mKCjohvYzZsxg8uTJzJgxg4SEhFKHSFy/fj3NmjUjLi6OZ555hgEDBnDixAnc3NxuaDt16lQ+/vhjli5dSnh4eJlqfuKJJ3j77bfJzc3ll19+YeLEibi7u/Pww5Yvkl1cXDh58iRms5moqCjGjRtHQkICa9euLcefjBDiXpVvMJGVbwm6s/INZOVb1jkFJnIKLdtzC0zXBeGWAPxqOJ57XVBeUI6w+3YoCtjbaC2L3rJ20Guxs9Fi1sdyWbuGFPUgV6cH9LZpSBu34TR16Yid3uYmQbgWO5uSa1sbS6hdFfNLidJptBpC7wugQXsfDqw+T9TGi8SdSGPee3tp0tmXDkOCcXS1tXaZQtzTJEQXQtwVCvONrPwqipT4bOxd9Ax5rhVO7lXXmywrK4vdu3cDFA8fVVF0Gh0fdf+Ix9Y8xonUE0xcP5Ff7v+leLzCBh06s2HmN2QkXyIu+iiBzVr8zRmFEEJUJlVVMRgMVrm2jY1NuXrmtW7dmjNnzrBo0SIiIiIAWLRoEUFBQSV6lYNlvqJ58+axf/9+kpKSmDVrFq+++uoN5/T09MTHxwcfHx8+/vhjunTpwp49e+jfv39xG1VVeeaZZ/jtt99Yt24dnTt3LnPNDg4O+Pj4APDmm28ye/Zsli1bVhyiK4pSvN/Pz49nnnmG119/nby8vOIvCoQQNY+qWsbuziwOvkuG4Fn5RjJL2fbXx4Wmig++bbQKjrY6HPU6HG21ONrqcLLV4aC//rHl+V8D8WuPddjrNdjrdcX7bHWaEj/zzaqZbXHb+OnYjxy4dOBqdk6PgB6MCx1HWK2we6r3dk1ka6+j8/AQQrv7s2vxGU4fSCZ6RyIx+5Np0z+Iln2CqmwoUyFESRKiCyGqPZPBzOpvj5B0NhNbBx0PPNsKt1oOVVrDli1bMBqNBAQE0KhRowo/v4ONA1/2+pKIlRGcyTjDC5tf4Js+32CjscHG1o5GnbpxZOOfHN28XkJ0IYSwMoPBwH//+1+rXPvVV18t96TW48eP56effioO0WfOnMm4cePYvHlziXbz58+ncePGNGrUiDFjxvDcc8/xyiuv3DKQuRpaFxYWFm8zGo2MGTOGjRs3smXLFlq0uLPfW/b29iXOX9p+s9mM0Wi8o+sIISqfqqpkFRjJyDWQkWcgM8+yTi9aFy+51x5nXheKG0wVNxqtk60OZzvL4mSrKw67LWG4Jfy+/nHxvqKQ3FFfFI7barHVVW6oaTAZWHluJbOOzuJMxhnA0hFnUPAgxjYbS323+pV6fVH1XLzs6f9EKC16ZbBjQQyXzmWyZ9k5jm1LoOMDwTRs74Midw4IUaUkRBdsOpmMn6s9jXycrV2KEDcwm8z8OeMYcSfS0NlqGTSpJZ7+VTsmXHJyMgcOHACgT58+lda7w8fRh+m9p/PYmsfYk7iHd3e/y5ud3kRRFEJ79uXIxj85tWcHvcdPQG9ftV8iCCGEuHuNGTOGV155hdjYWMAyPNncuXNvCNFnzJjBmDFjAAgPDycjI4MtW7bQo0ePUs+bnp7OO++8g5OTE+3bty/e/sMPPwAQFRVF48aNb7tuk8nEnDlzOHz4ME8++WSpbWJiYvj2229p27Ytzs7yXlaIqpJvMJGWW0haznVhd56B9LzC68JwY1EgXnhdIG7EdIczWSoKOOmvBuA2xUH4tceWtUsp264+drLVFU/qWJ1lFWax4NQCfjv+G8l5yQA42jgysuFIIppEUNuxtpUrFJXNt74rI15qw+n9yexafIas1HzWz4omcsNFOo8IIbCxh7VLFOKeISH6Pe7ghTQm/HoAW52GmWPb0bau/AAW1YdqVtn46wnORl5Go1O4/6nm+AS7Vnkd69atQ1VVGjVqRN26dSv1Wk08m/BR9494ZtMzLIpZRJBzEI83fxzfBo1x9wsgLSGOk7u207xXv0qtQwghxM3Z2NiUOsxJVV27vLy9vRk4cCCzZs1CVVUGDhyIl5dXiTYnT55k7969LF68GACdTseoUaOYMWPGDSF6586d0Wg05OTkEBwczLx586hd+1qQ07VrVyIjI3n99deZM2cOOl35PnJ8/fXX/PjjjxQWFqLVann++ed56qmnivdnZGTg5OSE2WwmPz+frl278uOPP5bzT0UIAZae4XkGE6k5haTnGkjNKSwKxwtJyzVYHucaip5f255nMN3RdfU6Da72Nrja2+BWtHa1t8Hl6jaHkttcrgvBHfW6Gj92d3JuMr9F/8YfJ/8g25ANQC37WoxpOoYHGz6Is16+NLyXKIpCg3a1qdfKi8Mb4ziw+jxXLmaz7LNI6oR60ml4fTz9ZPJRISqbhOj3uGAvR5r5uXDwQjoRP+7h64jW9G4i32YL61NVlW1/xHBydxKKRqH//4Va5Vv2s2fPEhMTg0ajoW/fvlVyzfsC7+Pldi/z/t73+ezgZwQ4B9C/bn9Ce/Rh2+xZHN20TkJ0IYSwIkVRyj2kirWNHz+eSZMmAfDVV1/dsH/GjBkYjcYSE4mqqoqtrS3Tp0/H1fXal9jz5s2jadOmeHp6ljqZaPPmzZk2bRp9+vRh1KhRzJs3r1xBekREBK+99hr29vb4+vreMA+Js7MzBw8eRKPR4OvrK+OgC3GdvEITV7ILSM0pJDW3kPTcQlJzDEXrkkF5eq6B1NxCCm9zckydRsHNwRJyXx+EFy8O+hu2XQ3H7WxkTOfSnE0/y6xjs1h+djlGs2WIqmDXYMY2G8vA4IHotXfX7x5RsXQ2Wlr3r0OTzr7sW3WeY1viiT2awoVjKTTp4kf7wfVk8lEhKpGE6Pc4Nwc9v/9fR57+/QCbTl7myV8P8L/hzXmobaC1SxN3A7MJci5DViLkpEB+OuRnFC1XH2eCMb9oKbi2mAos225yN+feKwM4khIOQO+APwje+zYctAWtHnRX13agdwBbF9A7ga0z2Bat9c5Fz4sWe3fLuhxDsZjNZv78808A2rZte0Ovvcr0SJNHuJB1gd+jf+fVba/ibe9N02492T7nFxJORZOaEI+Hn3+V1SOEEOLuFh4eTmFhIYqilJgAFCxjmP/yyy9MmzaNfv1Kfkk7dOhQ5syZw4QJE4q3BQYGUr/+rcffbdWqFRs2bKBPnz6MHDmSefPmlbkXvaurKyEhITfdr9FobrlfiJqkwGjpJZ6SXUhKTiEpRQH5lezrHl+3Pbfw9nqI67Ua3B1tcHfQW5YSj/W4O9gUrfV4OOhxc7TB2VYnk1hWAFVVOZh8kFlHZ7E5bnPx9ta1WjM+dDzdArqhUTQ3P4G459g76+k+qiEtegSwa8kZzh66zPHtCZzad4mwPoG06huE3k7iPiEqmvyvEtjrtXz/aFteXnCYRYfi+deCw6TmFPLP+2RyknueIR/SYyH1HKSdg9SzkBZrCc2zL1kCdLXiZ7c/lDOE/VmWAL278/c0KlwNCRVwYo2NJUx38AB7D8v6+sf2HuBUq2ipzeHTiSQlJWFra8t9991XAQWUz7/a/ov47Hg2X9zM5I2T+XXAr9Rt1Zpzh/ZzfOsGuo5+tMprEkIIcXfSarVER0cXP77eihUrSEtL4/HHHy/R4xxgxIgRzJgxo0SIXlYtW7Zk48aN9O7dm5EjRzJ//vzbGo5GiJrEaDKTlmsgJaegRDBe4nFOYVFQXkBWfvknzNXrNHg63jwM93DU43Y1DC967qDXSiBexQxmA+tj1/PLsV84mnIUAAWFXkG9GNtsLK1qtbJugaLac6vtwIB/NifxdDo7Fp7m0rlM9q08z7FtCbQfXI8mnX3RaOULGCEqioToAgAbrYaPH2qJp5OeH7ad4/3VJ0jJKeTf4Y1r/HhzAjAZIfUMXDoKl45B0lFIPg4Zcdy0q/hVigYca4GjN9i7gZ0r2BWt7d0svcRt7C29xnVFvcev9iLX2ZbsGa7C8UOF7FyZB0CHHnqad5wExifAVFjUg73wup7sBVCYC4VZUJAFBdmWdWE2FGRee15Q1BvebICcZMvyNwrRsYGxgDPddEdwXBgBTrWLA3acaoNzbXDxBxc/y2usYFqNlg+7f8j//fl/HL58mAnrJ/Bep2c5d2g/x7ZsoPPICDQauRVWCCFE2bi4uJS6fcaMGfTp0+eGAB0sIfqHH37I4cOHb3r8rTRv3rw4SH/ooYeYP3/+XTcUjhB/x2xWScu19A6/nFXA5ex8yzqr4Nq2rAIuZxeQlluIWs55NbUaBU9HPR6OerycbPF0uu5x0XZPJ1u8irY7SQ/xai2rMIuFpxby+4nfScpJAkCv0TO4/mAea/YY9VzrWblCcbfxDXFjxEttOHPwMrsWnybzSj6bfz9J1MY4Og+vT51QT/mZIEQFUFS1vL/Ca57MzExcXV3JyMi4rQ8HNc13W87w/uoTAAxv7c8HI1pgI99e1izZlyFuL1zcAxf3QsIhS8hcGr0TeNQD93pF67qW4NipNjj7WMLzCgpyY/Zf4s8Zx0CFsL5BdBpev+J+2RfmQl4q5Kb+ZZ0GuSlFj1Msveuzk9mSVYdNdMKVDCbxMzb8za2x9h7g6l8UqhcF664BlvUdBu1p+Wn8Y/U/iM2MpZFLA3ost6EgJ4cRr75N3Zatb+ucQgghyi4/P59z585Rr1497OzsrF2OKCf5+xO3Q1VVsgqMliC8KAAvDsOzCriSfW3blexCTOayf6xWFHB30OPpqMfTyRKAezrq8XS0BOSeRaH41ccudjbSsakGiM+O57fjv7EoZhG5xlwAPOw8GN14NCMbjsTT3tPKFYqawGQ0c3RLPPtWnaMgx3Ini38jd7qMCME7SCakFaI0Zc2FJURHQvTS/LH/Iv9edASTWaVX41p89Uhr7PXS4/WulZsK57bCmY1wfptlWJa/snGE2k2hdjOoHQq1moJXQ3D0Ktc44rcr9mgKq745jNmk0rSrHz0iGlnt2/KsrCy++OILDAYDI3q3p7mvLWQnW4awyU6G7CTLOisRMhPAkFu2Ezt4WgJ19zrgdnUJKnoeBHrHmx56Mesi/1j1D1LyUxhyrgke0bk06tydQc++VEGvWgghxM1ICHt3k78/cT2jycyV7EIuZeZzKTOf5Ot6iReH40XbCso54aald7geb2dbvJ1sLeuixavouaejLR6OerQSit8zoi5H8cuxX1h/YT3moqEw67vW59FmjzIweCC2WpkIUlS8glwDB1bHErXpImajJfZr2KE2HR+oj7OH/C4U4nplzYVlOBdRqofaBuLuoGfi7INsPJHMmBl7mPFYW9wc5Pbbu4KqQtIROLESTq+HhIM3jl3u3QQC21uWgPbgGQIa69xxkBCTzprvjmA2qYS0rcV9j1gvQAfYvHkzBoMBf39/QrsOuPWXCKpqmUQ1I94SqGfGWdYZ8ZBZtGTEgzHP0tM9NwWSDpd+LgevkqH61aDdvQ6BroF83edrxq0Zxw73MwzGl9P7dpGfk42do1Ol/DkIIYQQFWnbtm0MGDDgpvuzs7OrsBpR05jMKinZBVzKLLAE5Fn5JGcWkJyVf21bZgEpOQXlGk7F2VZXIgQvXpxs8XLW4+1kZwnHnfRy964oZjKb2HhxIz8f+5moy1HF2zv5duKxZo/R2a+zDK8hKpWtgw2dR4QQep8/u5eeJWbfJU7tucSZA5dp2TuA1uF1sbWXSFCI8pCe6EhP9FvZfz6V8bP2kZlvpGFtJ34e3x5f14of+1lUALMZ4vZB9DKIXm6ZEPR63o2hfi8I7mEJzu3drVLmXyXHZrLk00MY8k3UCfVkwITmaHXW+wCSkJDA999/D8C4ceOoU6fOnZ9UVSEvrShcvwjpFyxL2vmix7GQn/H353H2ZaeHHxOVKwzc5oN7tp4+Dz1Ay0GjwE5+dgkhRGWRnswVIy8vj/j4+JvuDwkJqZTryt/f3c1sVknJKSzqNW4Jxi9lFhSF5JZgPDnLMgZ5WUdU0WoUajnbUsvZFm9nO2q5XOs5fjUsr1X0WO7GFeWRY8hhccxifov+jfhsy887G40NA4MH8o+m/6Che0MrVyjuVcmxmexceJr4U+kA2DnZ0G5gXZp187fq528hqgMZzqUcJES/tZNJWTw6cw+XMgvwd7Pn5/HtCaklPV+rjZQzEDUHouZBxoVr23X2ENIbGoZbwnNXf+vVeBOpiTksnnaQ/GwDfg3cGDS5JTZW/KCiqiozZ87k4sWLhIaG8uCDD1bdxfPSr4XrV4P19AuQFmt5XHitd94yJ0dmZ9Wl3QkPbBxzeCbooGVseo/ga4t7vaLH9cDBo+pehxBC1EASwt7d5O+v+souMJKUkUdiRj6JGflcyrD0ILcE4wUkZ1rCcWMZ03GNQlEAbkdtF1tqudhRu/jx1e12MpyKqHBJOUnMjp7NglMLyDJkAeBm68bIRiN5uPHDeNl7WblCISyfd88fSWHXotOkJVmGJHX1tqfTsPoEh3nL3RHiniXDuYgK08jHmYVPdebRGXs5eyWHh77dyU/j2tMq0M3apd27CnPgyAKI/N0yOehVemdoNACaDLYE6LcYY9vaMq/ksezzSPKzDXgHOTPw6RZWDdABjhw5wsWLF7GxsaFfv35Ve3F7N8vi2+LGfVd7sqedg9RzDEk9S+K5LWSeVDHkOLJMcWdIzmXLpKjX/3u4ys7tWrjuGQJeDSxrzxCwlS/EhBCirKTvyd3JbC7fuNbizqmqSnqugcSMfJIy84oDcsvzonVGPtkFxjKdT1HAy8nWEoZfDcWLAvHrt3k62Uo4LqrUkctH+C36N/48/ydG1fLvua5LXf7R9B8Mrj8Ye53cxS2qD0VRqNfCizrNPDi+I5G9y8+ScTmPNd8fxSfYlS4PhuAT7GrtMoWotqQnOtITvaxSsgsYP2sfUXEZOOi1fDumDd0belu7rHtL6jnY9yMc+vXa8B+KxtLTvOXD0Hgg2FT/N2o56QUs+vgAmVfycfd1ZNiUMOydrDvefkFBAV9++SXZ2dn07t2bbt26WbWev6OqKh+9+ijas2kcr5/NhIgJtMPWMmls6llIPW9ZZyXc+kTOfuAVAp4NSobrbkGgkduXhRACwGQyERMTg4ODA97e0lPrbqGqKoWFhVy+fBmTyUSDBg3QWGn+l5rEZFa5kl1A0tVQPCOPxMySIXlSRn6ZJ+V0sdPh42qHj6s9Pi62+LjYWXqQu9hRy9mW2i52eDnp0cl446KaMJgNrDu/jt9P/M7hy9fmOmrv055Hmz5Kt4BuaBT59yqqv8J8I4f+vEDkugsYDUWT3rauRadhwbh6O1i5OiGqjgznUg4SopddToGRCb8dYFvMFWy0Ch8/1JIHWlW/YUJqFFWF89th13Q4tRYo+i/rXg/ajIUWo8DF15oVlktediGLpx0iLTEHFy87hr/YBkc3689Iv379erZv3467uztPP/00NjY21i7pb53cs50Vn/yPXFsjq/qlM3PATzTxbFKyUWGuZez11LOQegZSTsOV05ASY+m5fjNaW0vP9RIBewPL82oynr4QQlSl7Oxs4uLipDf6XcjBwQFfX1/0eut+YX83MJjMXCoKwa/2Fk/MyOdSZj6JGXkkZeRzKasAUxmHV/Fy0lsCchc7fFzt8HW1L358dbujrdwcLe4OqfmpLDi1gHkn5pGclwxYxjsfUG8AEU0iaOrZ1MoVCnF7stMK2Lv8LNG7EkEFjVYh9D5/2t1fDzun6v+5WIg7JSF6OUiIXj6FRjNT/ohieZSlh+vUwU0Z16WelauqgVQVYv6ErR9D3N5r20P6QPsnIaQv3GW9qQrzjCz59BCXL2Th6Kpn2IttcPW2fs/5lJQUvvrqK8xmMw8//DCNGjWydkllYjIa+Pafj5KfncW6tpfIC3Lg5/Cfqetat2wnyEuzjKl/JcYSql+JsYTsKWfAVHDz4xy8LKG6VwPLhLVejcC7EbgGWO63FkKIGspkMmEwGKxdhigHrVaLTqeTuwew9MxPySkkMT2f+PQ8EjPySEjPIyE9n4Six8lZBZTl06FGoWgoFTt8Xa8G5Fd7k1se13KxxVYnd7WJu9+J1BP8Hv07q86uotBcCICXvRcjG43koYYPyXjnosa4EpfNrkWnuXA8FQC9vY42A+rQomcAOhv5eS5qLgnRy0FC9PIzm1XeWn6Mn3fFAjCpZwhT+jWUDygVwWyG6KWwdRpcOmLZprWFsDHQ8WlLT+C7kKHQxIovo0iIScfOyYZhL7TGw696jNn++++/ExMTQ0hICBEREXfVv+ONs77j0OrlpARpWR56Fl9HX34Z8As+jj63f1KzCTIuXuuxXhyyn7718DA2juDd8Fqo7t3IErK715WhYYQQQohKllNgJDEjj/j0fBLS80hMtzy+GpYnlnGIFb1W85fe49fWltDcXoZXETWe0Wxk88XN/Bb9GwcuHSje3syzGRFNIgivG46NVnroiprp4vFUdiw6TUpcNgDOHnZ0GFKPhu19UGTeCVEDSYheDhKi3x5VVZm+8TTT1p0C4OH2gbzzQKi8ob4TZzbC+jchMcryXO8EbcdDp4ngfAehqJWZjGZWfXOYC8dS0dtpGfpCa7yDnK1dFgCnTp1i9uzZaDQann76aby87q6eJMnnz/Lry8+g0enYOtjI6YJYgl2DmRU+C3e7Shh2pSC7qLf6abhyCi6fgMunLM/NN+mdqdVbhoLxbljUc71o7VkfdNYfykcIIYSo7gwmc/HQKgnpecU9x6/1Ks8nI+/v75JQFPB2ssXXzR5/Nzv8XO2LH/u62uPnZo+nox6NhCTiHpVRkMGimEXMPTGXhBxL5xGtoqVvnb5ENImgpXfLu6rDjRC3y2xWObUnid1Lz5KTbrlL2TPAiU7D6hPU1EP+H4gaRUL0cpAQ/c7M3nOB/yw5glmFfk1r88XDYdjJrT7lE3/QEp6f22J5rneGTk9Dhwng4GHV0u6U2WTmzxnHOHPwMjobDYOfbYVfiJu1ywLAYDDwzTffkJqaSufOnenXr5+1S7otv7w0mcux52gT8TDvFMwkOTeZUM9Qfuz/I442VdTb32SwjL1++QRcPmlZrpy0BOzGvNKPUbTgUe8vPdcbWUJ2ffW4S0EIIYSobKqqkpFnIC4tj/j0q0Os5JGQkV8clF/Kyi/TMCvOdjr8XO3xc7PDz82+aLEE5P5u9tR2sUOvkw4vQvzVmfQzzI6ezfKzy8kreu/qZuvGQw0fYmSjkXd2l6cQdzFDoYnDGy9ycO0FCvOMAPg3cqfz8PrUqiP5magZJEQvBwnR79yao4k8MzeSQqOZDvU8+OGxtrjYye1tfyszAda9AUf+sDzX6qHd/0G3KeB4d/WILo1qVtn4azQndiWh0SoMfLoFQc08rV1WsU2bNrFlyxacnZ2ZNGkStrZ3Z6/og6uWsunnH6gd3IBOL0/isTWPkVGQQQffDnzd+2v0WitOpGY2Q8YFS5h++URRsF4Urhdk3Pw41yCo1fjakDDeRY9tq8cdDEIIIURZqarK5ewC4otC8ri0vOLH8Wl5xKXlklNo+tvzXB1mpTggL+o57utmh7+bPb6udjjL+28hysxkNrE1bitzTsxhV+Ku4u0N3RsypskYBtQbgJ3OzooVClF95Gcb2L/mPEc2x2E2WmLEBm1r0eGBYFy9HaxcnRB3RkL0cpAQvWLsOpPCk7/sJ6vASBNfF34e345azvKmo1TGQtj9NWz5EAw5gAItRkHPV8G9jrWrqxCqqrJ9fgyHN8WhKND/yVDqh9WydlnFrly5wjfffIPJZGLkyJE0bdrU2iXdttzMDL6b8Chmk4nHPppOon0Wj//5OHnGPPrW6ctH3T9CW93GJFdVyEq6LlS/rvd6zuWbH+cScC1Yr9X42vAw9m5VVroQQghxPZNZ5VJmflFP8tyiYPxaSB6fnlemsci9nPT4F/ceL1pc7YqDci9HWxlmRYgKkJqfyqKYRcw/OZ/EnEQANIqGHgE9GNN0DG1rt5WhKoS4icwreexdfo6Te5NABY1WoVl3f9oOqIuDixU7bwlxByRELwcJ0SvOsYQMHpu5jyvZBQR5OPDb4x0I8pRvJUs4vR5Wv2wZQxogoD3c/yH4hVm3rgq2Z9lZ9q86D0DvsU1o3NHXugVdR1VVfvnlF86dO0eDBg145JFH7vo3yks/fo/T+3bRZtAwevzjcXYn7ubp9U9jMBsY3mA4b3Z68+55jTkpReF60dAwydGWdXbSzY9x9i3ZY/1qyG5fCePCCyGEuKcUGs0kZlzrQR53XQ/y+PQ8kjLyMZpv/ZFKUaC2sx0B7vb4u1uGVglwdyh+7O9mj72+mn3hLUQNoqoqh68cZu6Juaw9vxZD0Vw+rrauDA8ZzshGIwlwDrBylULcPa7EZbFr0RkuHE8FwMZWS1i/IFr2DkRvp7NydUKUj4To5SAhesWKTcnh0Zl7iU3JpZazLb/9Xwca1pYhGMi5Amv+fW3oFsda0PdtSw90Tc0am/LQnxfYucjyJUH30Q1p3qN6vSGNiopi8eLF6HQ6Jk6ciLv73R+0nt6/h6UfvYODqxtPfj0LrU7H+tj1TNkyBbNqZkyTMbzU7qW7J0gvTV5a0bAwRaH61ZA9M/7mxzjVLgrVm5QcGsax+gwrJIQQwrryCk3Ep+cSV0oP8ri0XJKzCv52PHKdRikeViXA3cESjLvbE+BuT4CbAz6uMha5ENaQZ8xj9bnVzD0xl+jU6OLtoZ6hjG48mv51+8uQLULcgYsnUtm16AyXL2QBYO+ip/2gejTp4otWK7/3xN1BQvRykBC94iVn5vOPGXs5eSkLNwcbZo1rT6tAN2uXZR2qCofnWwL0vFRQNJYJQ3v8G+xcrV1dhTu2LZ7Nv58EoOPQYNqE17VuQX+Rm5vL9OnTyc3NpXfv3nTr1s3aJVUIk9HI90+PJTcjnaEvvU79Nh0AWByzmDd2vgHA46GP82zrZ+/uIL00+RnXxlwvXk5CxsWbH+PoXbLXenG47mXpLiiEEKLGKDSaSUjP42JaLhdTr66vhua5XMku/Ntz2Oo01/UgvzEor+Vsh1aGWhGi2riQeYF5J+ex5PQSMgszAdBr9ITXC+fhxg8T6hVq5QqFqDlUs8rpg8nsXnKGzCv5ALjVdqDjA8EEh3nXvM+fosaREL0cJESvHOm5hYz9aR+RF9Nx1Gv54bG2dK5/90+WWS4ZcbD8OTi9zvK8digM+QL821i1rMpyam8S6346Diq07h9Ep2Eh1i7pBsuXL+fAgQN4e3vzz3/+E52u5txqtvmXHzmwcgkN2ndmyJRXi7fPPTGX9/a8B8DEVhOZ0HKCtUqsWgVZcOUUJF8XrF8+AemxNz/G3qPkeOtXQ3an2hKuCyFENXV1TPKLqblcLArGr4blcam5JGXm8zejreBkq7MMteJW+nArXk56CQGEqOZMZhPb4rcx9+RcdsTvKN7u7+TPqEajGBYyDDc7N+sVKEQNZzKaObYtnn0rz5OfbRkyqXY9FzoPr49fg7v/7m9Rc0mIXg4SoleenAIjT/66nx2nU9DrNHz9SGv6NK1t7bKqxuE/YOUUKMgArR7uexm6PAtaG2tXVinORV1m9XdHUc0qod396f5ww2r3YfPChQvMnDkTgHHjxlGnTs2YxPWqyxfO88u/JqHR6vjntz/j4HLtToefj/3Mx/s/BmBKmymMDR1rpSqrgcIcS7h+/Xjrl09A2nngJr8S7dxuHG/du7FlLPZq9u9cCCFqGlVVSckpJC4trygot4TkcUU9yuPT8zCYbv2RxlanIdDDgQB3ewLdHQj0uLq2bHO1t6l271uEEGWTlp/GophF/HHqD+KzLcP8KSh08e/Cw40fpotfF7QamXNAiKpSmGfk0LoLRK6/gLHQMrF23eaedBxaH09/JytXJ8SNJEQvBwnRK1e+wcTkOYdYd/wSWo3CtIdaMjTM39plVZ68NEt4fnSh5bl/Wxj6DXg3tG5dlejiiVRWTj+MyWimUQcfej/WBKWa3dJsMBj49ttvSUlJISwsjAceeMDaJVWK3155jktnT9Nz7JO0HjCkxL7vD3/Pl4e+BODVtv/mId8BmDIyMGdmYsrORs3Lw5yXjzk/7y+P81ENBlSzCUzm4jVmE6rJDGYz6LQoWh2KTodio4Orj3U6FBsbNI6OaBwdLGuH69ZOTmjd3dG6uqJYe24AQ961cP36SU3TzoFqLv0YW5cbh4TxbgSuAf/P3nmHR3Gdi/ud7X1XvaNCL6aDbcCAMbaxHYN7dxzH6clNLzf3d3PTbpKbm3LTm1PsOHGJbWzccMEdbEzvHUmod23vM/P7Y1YrCSSQQEICzvs885yZM+0srHZn3/nm+4RcFwgEgkEQiCZOSLXSJczrOiOE4/JJ99frJAo9Fk2Md0nyTBvFqfkch1lIcoHgPEJVVbY0b+HJQ0+y7ti6XoVCbxx3I7dNuI0SV8kIj1IguLAJ+WJsfrGafesbUBUVSYKJlxZw8fXlODJELQLB6EFI9EEgJPrwk5QVvv7ULlZvr0eS4Hsrp3LvpWUjPayhp/JtePbTWqFDSa9Fn1/2FdCfPylDjqfhiJfnf7WDZFyhfEY2Kz4xDd0oLCCybt061q9fj8Ph4LOf/SxWq3WkhzSkqLKM3NHBthfX8O7aZ8nyZPGhWQtItrWRbGtD7uxE9vvxttah+gPYTp3+9eyi06F3uzWhnpmBISMDfWYWhrxcjPkFGPPzMKRanc12dseWiEL7kRNzrrcfBbUfqWNy9CPXS867QsICgUAwEKIJWRPjqRQrtcdJcm84ccpj5LnM6ejxkgwrxZndwjzfZcEwCq8/BALB0OKNennu6HM8dfgpqnxV6f6pWVO5feLtXFN+jSgUKhCMMjqbQnywppKj21sB0Bt1TL+8mNlXl2Kxn59P6gvOLYREHwRCop8dFEXlu8/v5eH3tXzEX7t6Ip+9fPTlzD4t5AS8/j1471facuZYuOlPUDx3ZMc1zDRX+Vnzy+0kojIlUzK57tPT0RtH3w/YhoYGHnzwQVRV5fbbb2fy5MkjPaRBIweDJOobSDTUk2ho0KZ6rU02NpJsbwdFIa7X8caUMhSdxKKDtbiiJ7flss2CJSMLncOBzmpFslrQWW3oLJYe82YwGpF0etDr+mh1qEkZVU5CMomaSKImu6YEajyOEg5rUyjUu/UHUILBQf1b6FwujAUFmMaUYCotxVhaiqm0FFNpGYbcs1i4JhnvIdcPdgv29iOgJPvex2jXnko5vqipp1TIdYFAcE6jqiodoTg1HWFtag9zLDVfm8pLfqpfHRk2Y0qQ2yjukW6lJMNKoceKxSjSMQgEFyKqqrKtZRtPHnqS16pfI65o17c2g41rK67l1gm3MiVrygiPUiAQnIqmSh/vrT5C4xEfAGabgTkryrjo8iIM4jteMIIIiT4IhEQ/e6iqys9fO8Sv3zgCwCeXVPDvKyad24/X+urgyfuhbpO2POd+uPoHYLKP7LiGmdaaAGt+sZ1YOEnRBA/XfW4GRtPo++KTZZkHH3yQpqYmpkyZwm233TbSQ+oXORAgXl1NvPpYqk1NdXUoPt+pDyBJ6LOy2JrvoUGvMtGVzfzJMzBkZ2sR3h43epcLncvFL4/8hX/WPYukN/CTJT/hytIrh/8F9oMajyP7fCQ7OrWIeW8nyY4O5LZ2Ei3NJBubSDQ3kWxsQgmFTnosyWbDVFqKedw4LBMnYJ4wAfPEiRhyc8/e54ycgI5KTaj3LGrafhjkfm5qGKyQPf64oqaTIKMMRA5PgUAwSognFeq9kR6iPJSa16LKg7F+biCmsJv0vVKspCV5plbE02E+f5/cEwgEg8cX8/H80ed56tBTHPUdTfdPzpzMLRNu4bqK67Abz+/fXALBaEFVVUgkUGU5HTBFsmfwVM9lGTWZ0JZlORVklQBZRkkq1DfBtr06fAEtiMhmUbhofJyxhQkkVFBVLZ2mqqIqila26vhlCZAkLSWopAPdcfOSpAUpSTot1Wwf63qmH8VgQDKakIzdfb3XGbv79OL32fmGkOiDQEj0s8+D71Tyg5f2A3Dn/DH89w3T0I+yHNoD4tCr8MwntDzoZjfc8FuYfP1Ij2rYaa8P8uzPtxMNJcivcHP952dgsozOH77vvPMOb7zxBlarlc9+9rM4HCNbyERVVZLNzcQOHSJ2+DCxysq0NJfb20+6r97txlBUiKmoCGNhIcbCQgyFhRgLCjHk5mDIzEQyGKjctplnfvxdrE4Xn/zDw+gNJz4ip6gK/7Xhv1hzdA0GycD/LvnfERXpA0UOBkk2NZFoaND+3Y51T4n6ei0/ex/o3e60ULdMm4p1+nRMZWVnNw+7nNTyq3dFrLek5HrbIZBjfe+jN0P2hB5R6xMhdzJklJ/XaaIEAsHI4Q13R5Mfa9eiyLvmG30RlFP8cihwWyjJtFGaaWNMpo0xWak200am3XRuB04IBIJhR1VVdrbu5MlDT/JK9SvEUtdIVoOVa8qv4dYJtzI1a6r4LBFckKiJBEo0ihJJ1bCKRtOtEo6gRiMo0RhqPI4aj6HEUvOxeHdf13Is1m+fEo+hxhPd2ySTIJ+8NsmgXwsSjfmXUFV2HTFLBgC2cBMVVS+Q07pDk+mjFUlCMpm0p7ctFiSLGZ1Zm9edsGxGsli11pxattnQOxypumF2dPbUvMOO3m5HstnEZ9xZRkj0QSAk+sjw+KYavvnMblQVrp9RyM9vm4HxXMllKSfhje/Dhl9oywUz4daHILN8BAd1dvA2h1n9s21E/HFyS52s/OIszNbRKfNaWlr44x//iCzL3HjjjcyYMeOsnl/2eokdPkz08OGUND9C7PBhFL+/330MOTmYyspSUymmsjKMJSUYC4vQOwYWaaPIMn/6zEcIeTtZ+dX/x/h5l/Y9PkXmPzf8Jy9UvoBe0vO/i/+Xq8quOq3XOhpQ43HidfXEq6u0f+9Dh4gePES8qqpPua5zOrFeNA3LRdOxTr8Iy0UXYczNPfsDV2TorO6db731ALQegmSk7330Jsga1zvfes4kyBoLepFXUCAQ9E9SVmj0RdNivCvdyrGOEDXtYfzRk0eTW4y6lBS3MybTRmlKkmsR5iLlikAgOD38cT8vHH2Bpw4/xeHOw+n+CRkTuHXCrVxXcR1Ok3MERygQDAxVVVHDYeRQSEthGUqlsuyaeqS2VKMRlEhKivec7xLjPeejUUicun7IWUWSkAwGLVI7NWHQIxmMSHp9KpLbAHpDdwS3Xq9Fg6NFg8uSnmPGSRzRTyMuafUM3GoHk9lNjtSiBT11RY9LOpAkbQLtN56qoqoKKCooSq/5k61TVQW60pAmEt0R9YmEFnHf1ZdIcMp8dMPw75oW7CnZrnfY0bndWh0xtyfVutG7Xejd7tQ6D3qPG53ZfHbHex4gJPogEBJ95HhhVwNfemIHCVll2aRcfnf37NH/4yvYAk9+BI5t0JbnfwKu+m8wnP8fVL7WCM/8bBshb4ysYgc3fGnWqC0EIssyf/3rX6mvr2f8+PHcddddw3o3N9naSnTfPiJ79xLdu4/o3r0km5r63livx1RehmXCBEwVYzGVp6R5admARfmpePsff2XL86sZO/cSbvjaf/a7nazIfGvDt3i+8nn0kp4fL/4xV5ddPSRjGC0osRjxo0eJHjxE7MABInv2EN27FzUaPWFbY0kJtnnz0pOpuGgERpxCkcFb0zvfepdkT4T73kdnSMn144qaZo29ID6jBAKBRiCaSOclr+nQcpN3RZTXd0ZIniKcPNdpTkeP94wkH5NlI8dhFtFRAoFgSFBUhS1NW1h9ZDXrjq1LR51b9BauLruaWyfeyvTs6eIzRzDspMV3MIji9yMHgihBrXaT3FOAHy/Ejxfjqflhl646nRbxbNNqWemsFqSuulZmM5LZhM5k1uZNptSyCamvPrNZ6zcZ0aXXpVqTtg0GY3eaE71eq5el1w9pWpN4JMmOdTXsWFdLIqZFvRdN8HDJDWPJr3AP2XlOh3QKmy65nkikIvW1mxtqLKbd8IjFUKNR7WmAWBQlEk1t09Uf1drU+0UOBbX3TDD13gkGh+S9I1ksmmD3eDBkZaLPzMKQlYU+q6vNxJCVra3LyhLSHSHRB4WQ6CPLWwdb+NQ/thJNKMwvz+Qv983FaRmdYpaG7fD43eCvB5MTVv0apt440qM6KwQ6ojzzs20E2qNkFNi58cuzsDpNIz2sfulK42I2m/nMZz6D2z10X7zJtjYiu3enZXl0716SLS19bmssKsI8fryWSmT8eMwTxmMqL9cuRoaR9roaHvrKZ9Dp9Xzy9w9jc3v63VZWZP7rvf/iuaPPoZf0/M9l/8OK8hXDOr6RRk0kiB05QmTXbiK7dhLdtZvYkSMnXLQYCguwzZ2Lbd487JcuGFmp3oWigL+ud771rjYe6HsfSQ+ZFb3zredMhKzxYLSc3fELBIIzRlVVWoMxatrDVLeHOdYe4lhXIc/2EJ3hk0eqmQw6SjKslGbZ01HkpSlJXpJhwzoKa5wIBILzh+ZQM2uOruGZw89QF6xL94/zjOOWCbdw/djrcZnE73LBwFHicZRAANnvRwkGU/MBlGCPNpAS5F3rAwGU1CQHg0OerqRXNLHdjs5mO3HZakWyWtB1CXCrBZ3Fis5m1VKBWK3aNj3nrVYtN/d5enMpEoizde0xdr9Th5LUfpuVz8jm4pUVZBWNbGrW4UZVVe3Jg1BIe5+Gwtr7ORzS3qc+P7LP1z35fSjensv+03of6xwO9FmZ2GbNpvB/fjQMr2z0IyT6IBASfeTZXN3BR/+2mUAsyUVFbh7+6Hwy7aNM0O58Ap7/PCSjmni641HImTDSozorhLwxnvnZNnytEdy5Vm78ymzs7tF7t7KxsZEHH3wQRVHOOI2LmkgQPXCQyI4d2rRzJ4m6uhM3lCRMFRVYpk7BOnUqlqlTMU+ahH4EcrBrX75Jnv3v7+OrbWDOihsYP2eB9tSbXkLS69DZDOgcJnQ2A5IkISsy337v26w5uga9pOdHl/2Ia8qvOetjH0nkYJDItm2EN28mvGkzkb17Idk7rYGprAz7okXYFy3EPn8+OptthEbbB6qq3eA7vqBp6wGI9ZNCSNJp+dV75lvvkuumUfTaBIILEEVRafJHqU4J8ur2UC9pHo6f/EdSlt2UjiIvTYlyLf2KnVynGd25WItGIBCcsyTkBG/VvcXqw6t5r+E9FFVLtecwOrim/BpuHHcj07KnnbdiUHBq1GQS2a9JQqWHFJR7SELF7+te9vs1ae73o8bjQzMIvV7LVe10onM50dsdvcV3n0K8e17fYxvJahXv5zMg0BFl8wtVHHi/UYtzkmDi/HzmX1+OK9s60sMblaiqqgl4rw/Z50Xu9CJ3tJNsa0+3yY525PYOku3tyO3tWrqaFPYFlzLmr38dwVcwcgiJPgiERB8d7Kn38eG/bqIjFGdcroN/PHAx+e5RECEpJ2Hdt+H932jLE1bATX8Cy8g+UnS2CPvjPPvzbXQ2hXFmWbjxK7NxZo6C/5d+SCQS/OlPf6K1tZXJkydz2223DeriJdneTmT7diI7dhDesYPonj7SfkgSprEVaVlumToVy6RJ6OxDk4ploChxmWRzmERTSJtaI8jeGLI3hnoKudKFZNRhyLNhzLNjHOPgD76H+XvDo+h0On606EdcW3HtML+K0YsSDhPevr1bqu/c2evOvmQ0Yp0zB8eihTiWLME0btzovFBWVQg09pbqLQegdT9Eff3sJIGnBLInpgqbTtDa7IlgzzqrwxcIzmeSskK9N0J1uxZB3iXIq1NpWOLJvoslA+gkKPRYKcuyMybLRlmWlqe8NEsT5g7z6KxXIhAILiyOeo+y+vBqXqh8gY5oR7p/Tt4cbhp/E1eWXonVIITY+YQSiyF7vcidnanIWW9KgPt7C/Cufq8vHUF+pujsdnROJ3qns1erczrQO12ptsc6hxO9K7XscIiCjqOQjsYQm56r5Oj2VgB0eomplxUx99oybK5RFnh5jqGqKkogkBbqksmEdfr0kR7WiCAk+iAQEn30cKQlyL1/+YBGX5TiDCv//NjFlGadXTHZi3CHlv+86m1tefHXYOl/gO4cKYB6hkRDCZ79+Xba64M4Mszc+JXZo/6u76uvvsp7772H3W7nM5/5DPZTiO1kayvhzZsJpURp/OjRE7bRuVxYZ8zAOnMG1pkzsU6fjt55dgsbqapKsjVC/JifWLWfeI2fZFuEkxUtl8w6QiEvCSWOp6gAg9GEKqsgq8ihBGqk7+JxfluYF61v84ZnM5+94gt8qOJDw/Sqzi3kQIDQxo2E1m8gtH49ifr6XuuNY8bgXLYM5xXLsM6ePaQ5AocFVdVqPByfb71lP0Q6+t/PmqlFq2enxHrORMgeD+4xF8xno0AwGKIJmbrOcCqavIckbw9Rd4r85AadlM5FXpalCfIuaV6cYcVsGOWfMwKB4IIklAjxctXLrD6yml2tu9L9OdYcVo5dyY3jb6TUVTqCIxQMFDWRQPZ6SXZ2alGtnZ3I3k7kzs7efV2T16vlBD8DdA5HqlCiq7uIois173Gjc/Xsd6JzutA7HegcjtF//S04bZqr/Wx89ih1BzoBMJj1zFhWzKyrSjFbReCA4MwQEn0QCIk+uqjrDHPPnz+guj1MjtPMPx64mIn5I1CJve0w/PNW6KwCox1u/D1MWXX2xzFCxCJJ1vzfdlprAthcJm78ymw8eaM7vUN1dTUPPfQQAHfeeScTJ048YZtEczPhTZtT0cWbiFdXn7CNadxYbLNmacJ85kxM5eVaVfCzTNIbI3aok+jhTmKVXpTQidJbZzdiLLBjzLdjzLWhzzCj95jRu83oTHpe+MWPOfj+u8y8+kNc8dFP9dpXTSokO6IkUtHssUov8ZoAyN1fCztthzBdlsPypdeLqIweqKpKvLqa0PoNBN99h/DGD3o9RqrPyMCxdCnOK5ZhX7gQnXV033w6gVAbtB3SpHrbYWg7CK2HwFfT/z4GK2SP645Yzx6vCfbMsSLvuuC8JxRLcqw9TE1HqHeO8vYwDb7ISWtEmQ06SrO0NCtlWTbGpNqyLDsFbgsGvbg5JRAIRj+KqrCteRtrjq7hlepXiCQjAOglPYuLF3PT+JtYVLQIg07IrpFCVRQUv59kR0daevclwpPe7j4l0E+9nVOh16P3eFKyu2tyoeuad2lCXJtP9Xs86J1OJIN4jwj6p/ZABxufOUrLMe29abYZmL2ilOlLizGImi6C00RI9EEgJProoyUQ5cN/2cSBpgBuq5GHPzqfmSWeszeAqnfhiXsg6gXPGLjzCcibcvbOP8LEI0me+9UOmqv8WBxGbvzybDILR/CJgAEQi8X4/e9/j9frZdasWaxapd3wkP1+LXp4w3uENr5P4thxElCSME+ahG2eVjzSNncuhoyMEXgFoMoKsUof0QMdRA93kmyJ9N7AoMNU7MBc5sJU5sZU5EB/iuKu1Tu28vSPvo3F4eSTf/g7BuPJi/YqcZnogQ5CW5uJHOxAhybOvblRJtxxKabC87uYy+mihEIE128g+MbrBN56G8XXnSZFslhwLF6M65oVOJYsGV151AdLPAzthzWx3npQk+tth6H9CMj95KKUdOAp7Y5Y75kixjoyf2sCwengCyc41iXJ27pSrmhtayB20n0dZkOvKPKytDQX+ckFAsG5Ta2/lucqn+P5o89TH+x+Sq/MVcaN429k5diVZFuzR3CE5zdKNIrc3k6yoyvHcccJOY+THR1a29l5Qr2fASFJmuDOyEhNHgwZGeg9GX30advpnE4RgCMYNlRVpWpHGxvXHKWzSXvywe42Me9D5UxaUIBeBCAIBomQ6INASPTRiTcc5/6HNrO9xovdpOfB++ayYOxZuADb/k94/gugJKB4vlZA1JEz/OcdJfQU6Ga7gRu+NIvs4hF4EmCQrF69ml27duFxu7nv0ktJbtpEaMN7RHbvBqVHTlmdDsvkyZownz8P25w56N0jl99eTchED3uJ7Gkjsr+jd4oVCUwlTszjM7BMyMBU5EAyDO6CQFFkHvzsRwl2tHP9l7/JhIsXDnjfRGeUd59+gdKjGZhVE6qk4lxYhHtF+aDHcSGhJpOEt2wl8MbrBF9/o1faF8lqxXn5UpzXXINj8WJ05tFboHdQyEnwHtOi19sOaVHrXdHrsf7yrgP23ONyrqfSw7iKQPzwEowA3nCcqrYQ1e0hqtq6U68caw/hDSdOum+GzUhpKuVKV1R513KW3SRkgkAgOG8IxAO8Uv0Kzx99nm0t29L9dqOdq0qv4oZxNzArd5b43DsNVFnWcoa3t5Ns79CKAbZ3kGxvSwnyjl5iXAmFBn0OndOJPjMDQy8J3kOEd00erU/vcok0KYJRiaKoHNzYxKYXKgl2aAEN7hwr868vZ9zcPBGkIBgwQqIPAiHRRy+hWJJPPLKFDUfaMRl0/O6u2Syfkjc8J1MUePO/4d2facvTboZVv7ug0hDEI0me//UOmir9mG0GVn1xFjljRr9A37JuHS+sX4+kqlzx3ntk1db1Wm+qqMC+cCH2BZdimzv3rOczPx41oRA50E5kVxvRgx2o8W7Jr7MbsUzOxDIhA8s4DzrbySPHB8K7jz3MpmefpGL2PG78xrcHN1ZV5e/v/xXDmwGWBOYAYCywk3nnJIy553BE9VlCVVVi+/fjX/sy/rVrSdR1vzd1djuOZctwXXMN9kUL0ZnOw8I4XXnX2w72kOupyV/f/35GeypqvUuwp6LXMyvAcB7+OwnOKv5oguq2kCbL28IpYa6J81OJ8lynuU9JXpppxz0En9cCgUAwWkkqSTY2buS5I8/xRu0bxGRNWOkkHZcUXMLKsStZNmaZKBLaB6qqogSDJFtbSba2kWxrRW5r67HcPcmdnb0DgAaAZDSiz87GkJmJPisTQ2ZWujVkZ6HPzMKQlYk+KwtDRgbS+XjNKbigkRMKe96tZ+vaaiIB7Vous9DO/OvLqZiZI27oCU6JkOiDQEj00U00IfNvj23ntX3N6HUSP79tBqtmFg3tSRIRePbTsPcZbXnx12HpNy+oInnnkkBX43HCW7cSfOstGjZu5MVp00gajUzbvZupe/eh93iwL1iAfeEC7AsWYCwoGOkhoyoqsSof4e0tRPa0oUbl9Dq924x1WhbWqdmYylxIQ3zHvKOhjr996VNIOh2f+N1DODIyB32MR/Y9wltvvMSXG+/FLTuRLHqy7pmMZZxIxzFQVFUlumcP/pfW4n/5ZZKNjel1Orcb1zUrcK9ahXXmzAvjQi8WSOVbP9Q7/3rHUVD6edRY0kNmee+c613zFvH9LegmFEtS3X6cJE+J8/ZQP6mHUuS5zJRl2SnPtlOW3S3Lx2TasJtFnlaBQHBhcbjzMM8dfY4XK1+kNdKa7h/rHsvKcSu5rvw68uzDFOQ0ylHjcZLt7ZoAT8nxZGurJsPb2ki2tKbluBo7edqv49F7PJr0zszsbrOzugV5j3U6h+PCuHYUCE5BPJpk15t17HithlhY+z2RXeLg4pUVlE7LEn8ngn4REn0QCIk++knKCl9/ahert9cjSfC9VdO495IhqugeaoPH7oC6zaAzwspfw8w7h+bY5wjxaJLnf7WTpkrfqBXoybY2gu+8S/Cttwht2IASCiHrdLx+xRV0ZmWSH4lyU0UFzkULsUyePCKFQPsi0RQitL2FyI4WZF+PwpNuE9aZudguysZYNPwXvo9+66s0HjrA4rvvZ97Km0/rGE8feppfvft//EfdA0yNjAOdRMatE7DPyh3i0Z7/qIpCZMdO/GvXEnj5ZZKt3T9KjaVjcK9ciXvlSkwlJSM4yhFCTkBHVUquH+yRf/0wxE9S3MpZ0J1zPZ1/fYLWLy6Yz0uiCTklyrXUK9VtIapSyy2nyFGe7TBTnq3lKC/LTgnzLDtl2TZsJiHKBQLBhU17pJ21VWt57uhz7O/Yn+73mD1cU34Nq8auYkrWlPNSSKmqihIKkWxp0aZe0eKaJJdT0lz2egd1bJ3TiSE7W5tycjDkZGsR5Nk52nLPaPFT1DESCAT9Ewsn2LGulp2v15KIacFreeUuLl5VQfHEjPPys0twZgiJPgiERD83UBSV7zy/l7+/fwyAr6+YyGeWjjuzg3ZWwyM3aZGPFg/c8U8oW3TGYz2XGK0CXVVVYgcPEnjjDYJvvU10924tNUQKfXY2ey5fyi69HqvFwqc+/WncI5jbvCdKNEl4Rwuhzc0k6oPpfsmixzotG9usXMzl7iGPOD8Zu15/mdf+9Buyisdw309/e9oXDi9VvsS33/kvPt9wJ5f754MEGbdNFCL9DFBlmdDGjfifew7/q6+hRroLylrnzMG9aiWuFSvQX+jfT6oKgcZuod52sHs+2NT/fiYHZI1L5Vwfr01Z4yFrLBjFI+ejnVhSpqY93CtPeXVqvtEXPem+mXYTZVk2TZL3kOWlWTacFiEnBAKBoCehRIg3at7gxcoX2di4EVnVxJNBMrC4eDErx61kcdFijPpz9/NTice75XhLC8nmZhItLSSbu/sSLS2o4fDAD2owdIvx4+V4Tk53X1YWOqu47hAIziaRYJztr9Sw+606kgktTVLRBA/zV1ZQOM4zsoMTjCqERB8EQqKfO6iqys9ePcRv3jwCwKeXjuXrV088PSHYuBP+eSsEm8E9Bu55Wsu9ewEx2gR6V3Ru4LXXCKxbR6K2ttd6y9SpOJYswXH5UurMZv756KMA3HHHHUyaNGkERtyNqqrEj/kJbWoisrsNNfUljV7CMjET26xcrJMykYwjEyEfC4f4wyc/TDIe4+4f/Jz8caf/Xn+z5k2++tZX+WTDzVzrvQwkyLxrEraLLpwCvMOFEgoRWLcO35o1hN7fmL5xJJlMOJYtw3PTjdgXLhTFnY4n4oX2Iymp3iN6vbMaVLmfnSTwlGhyPWs8ZI/rnnfmi+j1s0hCVqjtCPeS5FWpqcEX4WRXqi6LIZ12pbxnRHmWyFEuEAgEpyIhJ1hfv56Xql7irdq3iMrdNyenZk3l+rHXc235tWRYRnf6PlWWtbQqLa0kW5o1Gd7cnBLjrSRT84OJHNc5nSkhntNDhneL8i5Jrne7R80TsAKBoG9CvhjbXj7GnnfrUZLaheWYKZnMX1lBXplwgAIh0QeFkOjnHn98+yg/WnsAgLsvHsP3V00bXOXlo2/CE/dqqQHyLoK7nwTXyOfNPpvEo0le+PVOGo9qAn3lF2aSW3r23/9qIkF482b8r71GcN3rvdJaSGYz9oULcVy+FMfiJRjztGhnn8/HH//4R8LhMPPnz+faa6896+PuQg4lCG9rJrS5iWRLdwSxIdeKfV4Bttm56O2jQ+S89Oufsn/9W8y48lqWf+wzZ3SsTY2b+MIbX+CBmlWs8C0Eg0TOJ6ZjHiM+Q4eKRFMT/hdewLdmDbHDR9L9hrw83DfegOfmmy/MdC+DIRmHzq7UMIc10d6Vgz3q638/k7O3VO+KYM8ce0EVmx5KkrJCvTeSzk1e3SO6vK4zgqz0fznqMBsoS6Ve6U67os1n2IzikVyBQCAYBIqqsK15Gy9Wvcir1a/ij/vT60pdpVxXfh3XVlxLqWuIUmeeIXIwSLKpiURTlxTvkuQ9Isrb2kDu76Z5bySTCUNurjbl5WLMzcWQm5fuM+blYsjJQWe3D/MrEwgEZ5tAR5Qta6s5sKERJXXtWT4jm/nXV5Bd7Bjh0QlGEiHRB4GQ6Ocmj35Qw/97djeqCqtmFvLTW2dg1A8gCmD3U/DMp0BJQNllWgoXy+hIA3K2iEeTvPCbnTQeGRmBrsRihNavJ/DqawTeegvF1y2zdA4HjqVLcV55JY7LFqGz2Xrtm0wmeeihh6irqyM/P58HHngA41nOGaiqKvHaAKH3GwnvagU5FS1s1GGdnoN9fj6mMc5RJ3aO7drBUz/4T8x2O5/6wyMYTKYzOt7+9v185rXP8Lkjt3Jx8CJUu46Cf5uDwSMk41Ciqiqx/fvxPvss/jXPIff4e7FdfDGeW27GeeWV6Czi333AqKpWD6P9cLdgbzusLXdWg6r0s6MEnjHd+dZ7polx5F3w0euqqtIaiFHZI5K8sjVIZVuI2o4wCbn/S06rUZ8S4yfmKc92mEbd56lAIBCcS6iqyqHOQ7xY9SJrq9bSFOpOg5ZjzWFF+QquK7/urOc5l4NBko2NmiBvbiLR2ESiuYlkUzOJpkaSTc0oweCpDwSg02nFNvO6hHgOxvR8d5/e4xHfKQLBBY6vNczmF6s59EFT+onHcXNzmf+hcjLyxQ20CxEh0QeBkOjnLs/tbODLT+wgqagsn5zHb+6ahcV4kjQH7/8WXvkPbX7qTXDjH8BgPjuDHSXEIkle/M3Zj0BXEwlC77+P/8WXCKxbhxIKpdfpMzNxXnEFzquuxH7xxUgnkbsvvfQSmzZtwmKx8IlPfILMzMxhH3sXakIhvKuV4PsNJOq6L+iNRQ7s8/OxzchBZxm9BelUReHBzz1AoL2V677wdSYtWHzGx6wN1PKFlz/PF/bcythYCclCA6WfvRhpIDe0BINGiccJvv463qeeJvTee+l0LzqnE9eHrsNz8y1Ypp6fhb7OGsmYVtg0LdhT0evth08evW52paR6j7zr2RMgs+K8i14PRBNUt4WpbAtS2dotzKvaQgRjyX73Mxt06eKdx+cpz3WaxftWIBAIhpi6QB1rq9byUtVLHPF2P9XmMDpYXrqc6yquY17ePPS6oU8TJwcC6QjyLiGebpubSDY29fo9cDJ0TifG/DxNhuflYcjNSUWN95DkWZlIhtF7HS4QCEYfnU0hNr1QxZEtLYAWDzPh4nzmXVeOO0fUMLiQEBJ9EAiJfm7zxoFmPv2PbcSSCpdWZPHgfXNxmI+7gFIUWPdf8N6vteWLPw1X/xAusPx10VCC53+1g5ZjAcw2A9d/fuaw5gBTZZnw5i34X3qJwCuv9IqgNeTn47r6KpzLl2OdPXtAOZ53797N008/DcCdd97JxIkTh23sPUl2Rgl90EhoUxNKOCWIDBK26Tk4Li3EVDLyhVgHyoYnHmHj6icomzmHm7/53SE5Znuknf/34jf44rZbcSg2fHMlpt5yYRXoHQkSDQ14n3kG39OrSTQ0pPvNEyfiuflmXNd/CEPG6M5hek6hqhBq7Y5Y74pebzsE3mMnj17PKO2W6tnjuucduaM2ej2eVKjtDFPVGqKyLZiKKg9R2RaiNRDrdz+dBCWZtnR+8oocBxWpnOUFLsvgUq8JBAKBYNA0BBt4pfoVXql+hb3te9P9Rp2RJcVLuLbiWhYXL8asP71AIlVVUYJBEo2NWmHOJk2Id0eQN5FsGoQgd7kw5udjyM/DmJePoSBfa/PzMBYUYMjNQ+8QkaECgWD4aKsLsun5Sqp2tgGg00lMWlDAnGtKcWUJmX4hICT6IBAS/dxnY2U7H3t4C8FYkhklHh6+fx4eWyqaORmHNZ+F3f/Slq/8Hiz4/KgVF8NFJBBnzS930F4XxGI3svILM4eliKiqqkR27MD/0lr8L69Fbm1Lr9NnZeFasQLXdddinTlzUEV4WlpaePDBB0kkElx22WVcccUVQz72nqiqSuyol+B7jUT3t0Pqk1LvMWO/pAD7vPxRk+t8MHQ2NfDXL3wCSdLx8d/9FWdm9pAcN5QI8ccnfs5te5aioHDk2hDLFo9crvoLCVVRCG/ciPfp1QReew01HgdAMhpxLL8Cz823YF9wqSh6NZwkY9BR2S3V2490S/bYKaLX01Hr47vTxGRWnJWnpFRVpdkfS6dc6ZmCpfYUecqzHWYqsu1U5Nh7CHM7YzLtmAzivSYQCARnk8ZgI68ee5VXq19lV9uudL9O0jEvfx7XlV/HFaVX4DKd+reumkho+cYbG0g0NpJoaCTRkJpvbCDZ0IgSDg9oXDq3u5cgNxbkY8jL16LK8wsw5uWK3OMCgWDU0FztZ9PzldTs7QBAp0/J9BVCpp/vnBcS/Tvf+Q7f/W7vSMmJEydy4IBWUDIajfKVr3yFxx9/nFgsxtVXX83vfvc78vLyBnUeIdHPD3bVefnwXzfhDSeYmOfkkQfmk2tR4F/3wpF1oDPAqt/CjDtGeqhnnZAvxppf7KCzMYTVZWLVF2eSVTi0hTNiR47gW/Mc/hdf7BUVq3O7cV11Fa5rr8E2b95pPWYZjUZ58MEHaW9vp7y8nHvvvRfdMAlBNakQ3t5C4N16ki3dPxDM4zw4Li3EMjkT6RyPpHz829+g/sBeFt15HxffcOuQHTchJ3j9D08wrbaURmMr21Y184k5nxIpGs4isteL74UX8T79NLH9+9P9xsJC3DfdhOemGzEWFo7gCC8w0tHrx+VdbzsE3pr+o9clHXhKewv2rHHa5Mwf9E1gXySREuTBVGS5FlVe3R4iHO+/EJvNpE9Hk5dn29PSvCzbjsty7t1EFAgEgvOJplATrx17jVeqX2Fn6850v4TEvPx5XF12NVeMuYIsa1Z6naqqKIFASo43kGho0HKSNzSmJHkjyZYW7SneU6B3uzEUFGgpVfKPF+T5GPPyTqhtJBAIBOcCDUe8bH6hiroDnYCQ6RcC541Ef+qpp1i3bl26z2AwkJ2tRU5++tOf5sUXX+Shhx7C7Xbzuc99Dp1Ox4YNGwZ1HiHRzx8ONQe4588f0BKIMSVT5RnPLzE3bAKjDW5/BMYtH+khnnUCHVHW/GI7vpYIdo+ZG740C0/e0FzQJjs68L/4Er41a4ju2ZPu19lsOK9cjuvaa7FfeulJc5yfCkVRePzxxzl06BAul4tPfvKT2IchYkUJJwh+0EhwQwNKMAGAZNJjm5OL49JCjLnnz4+A3W++yqt/+BUZhcXc//PfD6nkTkbiVP7vu9giJp7KfI3mSxN8d8F3MenPrIipYPBE9+3D+9RT+J5/ASUQ0DolCfuCBXhuvQXHsmXozrC4rOAMSEevHy/YD0PM3/9+JgdkjU1J9S65PpaYp5yaoCEdUV7ZGkxHlrcF4/0eTq+TGJNpoyIVTV6eY6ci20FFjshTLhAIBKONlnBLWpxvb9me7peQmJ03m6tLrmSZdSbOzmhKkmvR44nGRpKp5YGkWZFMJi2VSmEBxoJCjAUFGAsLMBYWaoI8Px+dVYgkgUBwftNw2MvmF4VMvxA4byT6s88+y44dO05Y5/P5yMnJ4dFHH+WWW24B4MCBA0yePJn333+fSy65pN/jxmIxYrHufJ5+v5+SkhIh0c8TatrDfPbPr/LD0Le5SFeNbHKhv+cpGHPxSA/trONvi/Ds/20n0B7FmWVh1RdnnXGBDCUeJ/jmW/jWrCH4zjuQ7MoRbsCxeDHulStxLF2CzjI0hfTWrVvH+vXr0ev13H///RQXFw/JcbtIdkQJrq8ntKUJNa5F3ejdJhwLi7DPzx/VhUJPl3gkzO8/eS/JWIw7v/8TCidMHtLjRw500P7QXmQUvlD2Yzxlufzy8l/iNruH9DyCgaFEowReew3vU08T/uCDdL/e48G9aiXum2/GMmHCCI5Q0AtVhWDLiYVNO46idh5DUvuPHG9RPVSp+VQqBVqrFlKl5lOj5pHp6kq74uiVhqUk04ZRFAIWCASCUUtTqInXa17ntWOvsb9mK1k+lWy/SrYfpiXzmJjIJNevg+Y2ks3NA4siz8xMi3FDQUqUFxZqorygAH1mpkgDJxAIBClOkOm6HjI9W8j084HzRqL/5Cc/we12Y7FYuPTSS/nRj37EmDFjeOONN7jiiivo7OzE4/Gk9yktLeWLX/wiX/rSl0563OPTxABCop8v+OpJPrwKQ8dhWlUXn9P9J//5wB1cVHxhCTxvc5g1v9hOsDOGO8fKqi/Nwpl5emJbVVWiO3fiXbMG/0trUXoUCLVMm4Z71Spc112LITNzqIYPwK5du1i9ejUAN910E9OnTx+yY8frAgTeqSOyuy2d79xYYMexuBjb9Gyk81wqrf3tz9n3zhtMv2IFV37ic0N+/PbHDhDZ2cp+WxVfHvMTytxl/PaK3zLGNWbIzyUYOPGaGryrV+Nb/Yz2uHYKy/TpeG65Gde116J3DG2qJ8HgCUQTVLaGONoaTBXz1Nr6dh+5yUbKpSbKpUYqpEYqdNpyruTt93iqpEfKKO1OCZM1tjuK3VV4wdUIEQgEgtGIqqoofj/xujoaDu/g4L71tFbuRdfURo5Pk+b2/us6p5GMxpQYL+gdQd4lywtEFLlAIBCcDiekeREy/bzhvJDoa9euJRgMMnHiRBobG/nud79LfX09e/bs4fnnn+f+++/vFVEOMH/+fC6//HJ+/OMf93tcEYl+HtN+FP5+A/hqUJxFfNbwbdY2OnCYDfz5vrlcUpF1ykOcD7Q3BHnuFzsI++Nk5NtY9aVZ2N2DL1KXbGvD9+yzeJ96mnh1dbrfkJeHe+X1uFeuxDx+/BCOvJu6ujr+9re/IcsyixYtYvnyM0/Foyoq0UOdBN+pI1bZfSPAPN6Dc3Ex5nGeCyZ1Qe3eXfzre/+ByWrjU3/8O0bz0Dw50EXSF6P5p1tQEwq/r3ia58yvk2HO4JfLfsms3FlDei7B4FGTSYLr1+N7+mkCb76VfqJEslpxrViB55absc6efcH8PYwEsqLS4I1wJCXKNWEe5GhriNZA/5bEqNfSr5RnOxjbs6inSyY7VofUflQrbNp+ONUehXiw/4EYbT3Sw4zrkSZmLFg9Q//CBQKB4AKlS5In6uuJ19eTqK8nUd+QauuJ1dVC6NQFO/Uez3FpVrojyA0FBRiys0UUuUAgEAwjQqaff5wXEv14vF4vpaWl/PznP8dqtZ62RD8ekRP9PKF5rybQQy2aBLj3WYLWAh54aDMfVHVgMuj45e0zueaigpEe6bDSVOXjhd/sJBZKklXkYOUXZmJzDTzvsSrLhNavx/vUUyfKtauuxL1qFbaLL0bS64fpFWh/k3/6058IBoNMmDCBO+6444wKifZZLFQnYZuRg2NxMaaCoc+xPtpRFYU/f/7j+FubufbfvsrkRUuH/Bz+dcfwr6sBl4F/n/obdnp3YdQZ+dYl3+LG8TcO+fkEp0eyrQ3fmufwPv008crKdL+pvBzPLTfjXrUKQ6oWiWDwdEWVV7YFOdrS3Va1h4gn+3/kPtdppiJHK+pZkW1nbKq4Z3GGFcNgnpRRVQg2p3KuH+kW6+2HobMalGT/+9qyte/T7HG9JXtmBRgGf2NWIBAIznfklCTvmuL19STqupeV4Eluaqbw2qHVLaHkZ5NRPpGKSZeQUTZBk+UFBaJYp0AgEIwSGo9oaV5q9/eQ6ZfmM+eaMiHTzzHOS4kOMG/ePJYvX86VV1552ulcjkdI9POA2s3wz1sg6oW8i+De1eDIBSCakPnC49t5ZW8zkgTfuX4q9y0oG9HhDhe1+zp46Y+7ScZk8spdfOhzM7DYjQPaN15Xj2/1aryrV5Nsakr3W2fMwHPrLThXXIPeMfyyOR6P89BDD9HQ0EBOTg4PPPAAltPMr64VC20i+F49SiBVLNSsx35xPo6FRRhOIzr/fOK9J//J+089Run0Wdzy/74/5MdX4jLNP9uK7IthvbqI/+bXrKvRCkXfPfluvjr3qxh051/O+XMVVVWJbN+B96mn8K9dixqJaCsMBhxLl+C5+WYcl12GZBD/Z8fTFVV+NBVJXtkjurzlJFHlJr1OiyLP0SR5V1ueY8dlGdhn95kNPAHemuMEe2oKNPa/n6QDd0lKsI/vkSJmHLiKQURACgSC8xQ5ECBRV9dbkveIJk8X8j4JSoaLzgwjVbYQdY4YrW6JFjf4Ms1MmLSApeOvZnHxYlFLRiAQCM4R+pLpEy/NZ86KUtw54sbnucB5KdGDwSBjxozhO9/5Dvfddx85OTk89thj3HzzzQAcPHiQSZMmnbKw6PEIiX6OU/k2PHYnJEJQPB/u/hdYM3ptIisq335uD//YWAPAZy8fy1evmnhepSo4srWF1/66F0VWKZmSyTWfvAij+eTR4ko8TvCNN/A++RSh997TIhYBvduN+4ZVZ73goCzLPP744xw+fBir1crHP/5xMk8jz3qyI0pwQz2hzT2KhbpMOBadv8VCTwdfSxN//rePgSTx8d/8BVd27pCfI7Slic6nDqOzGcj9+hwePPAXfrfzdwBcnH8xP13yUzwWz5CfV3BmyMEQ/rUv4XvqaSI7d6b7Dbm5uG+8Ec/NN2Eac+Hltw/Gkr0EeVdb1RYidpKo8hynWYsmz3Wk27HZDooyrOh1o/R7KBaEjqMpwX60t2CP+fvfz2CBzLGaVE8L9tRkG9q6GQKBQDDUyIFAr0jy40W54j/J518KfVYWxqIijEWFmIqKSORmcsDcznvKEV6L76CT7pQtDqODJSVLWD5mOQsKF2AzCtkiEAgE5yrHy3RJgvHz85hzdRmZhRfe0+/nEueFRP/qV7/K9ddfT2lpKQ0NDXz7299mx44d7Nu3j5ycHD796U/z0ksv8dBDD+Fyufi3f/s3AN57771BnUdI9HOYAy/Ck/eDHIOKy+GOf4Kp7w8nVVX57ZtH+OmrhwC4ZU4xP7rpIoznQQHJve/W8/ajB1FVGDcnl+X3T0Fv6P91xaur6XziX/iefRa5szPdb7v0EjJuvRXHFVegM5/dKG1VVXnhhRfYunUrBoOB++67j5KSkkEdI14fTBULbYWUzzLm23EsLsI2PQfpJP8mFyr/+u43qd23m4W338slN90+5MdXZZXm/9tKsi2C68pSXFeM4fVjr/PN9d8kkoxQ7CjmV8t+xfiM4cmtLzhzYocP433qaXzPPdf782L+fDy33Ixz+fLz6tFyRVGp90aobAtxtCXYKw1Ls//kUeVl2TYqsh2MzbWnWi26/KxElZ8tVBVCrd1Cvadk76gEJdH/vhaPJte7JHvmWMiq0FqRf10gEJwF5GCwW5B3pVlpqCeemh+QJM/MTElyTZQbi4owFRVhLC5Op1up8lXxdu3bvFn7Jjtad6Co3TdaMy2ZXF5yOctLl3Nx/sUY9efRd4RAIBAIaDzqY8tLVdTs7dA6JBg7M4c515SRM8Y5soMT9Ml5IdHvuOMO3nnnHdrb28nJyWHRokX84Ac/YOzYsQBEo1G+8pWv8NhjjxGLxbj66qv53e9+R35+/qDOIyT6OcrOJ+DZT4Mqw+Tr4ea/DChH6xOba/iPZ/YgKypLJ+bwu7tnYzOdu5HJ2145xvvPHAVg6mWFLL5zIro+IhvVZJLgW2/R+djjhDZsSPcbcnNx33QjnptvxjRIaT2UvPPOO7zxxhsA3H777UyePHlA+6lqqljo230UC72sGPP4C6dY6Omw9+3Xefl3/4cnv4CP/uJPw/JvFd7RQsfjB5Esegq+Pg+dzcihzkN8/o3PUx+sx2aw8cPLfsgVY64Y8nMLhg41Hifwxpt4n36a0Pr16SdXJJsN15XLca1cif2SS4a1XsJQEowlqTquoOdAosqzHeZ02pWxPdKwFGfYRm9U+dlCToKvpnfkeleqGH/9yfe1ZfUt17PGgln82BAIBANDk+QNJOrrekvyVDS54vOd8hj6jIwekrwIY3FKkhcVYSws7PPGcVJJsqNlB2/Xvc1btW9R7a/utX58xniWFi9laclSpmVPQyeJwA6BQCA432k55mfr2mNU7mhN95VOy2LutWXkV4iUXaOJ80Kiny2ERD8H2fQgvPRVbX7GXbDy16AfuAh/40Azn/nnNqIJhRklHv5631yyHOdWfmxVVXl/9VG2v6alqJmzopSLV1WcIEGTra14n3qKzif+1Z3rXJKwL76MjNvvwLF45HMc79y5k2eeeQaAa665hosvvviU+6hJhfCOVLHQ5uOKhV5WhKnQMZxDPm9IRKP8/pP3kohGuP27P6Z40tQhP4eqqDT/chvJ5jDOy0twX10GgDfq5atvf5UPmj4A4OMXfZzPzvwset25IWEvZBKNjXifeQbfs2tI1NSk+w25ubg+9CHcK6/HMmnSCI5QQ1FUGnyRE/KUV7aGaPJH+93PpNdRmmXrlae8q8in2yoiBk+LeBg6qzTB3nE01VZqbbDp5Pvac/uW65kV/T59JhAIzk/kYOiEdCs9J3kgktzj6SHIi3tHkxcWorMP7HMlEA/wXsN7vFX7Fu/Wv4sv1n1ug87AvLx5LClZwtKSpRQ5ik73JQsEAoHgHKe9PsjWl49xZEtzVxwSRRM9zL2mjKKJGSLobxQgJPogEBL9HEJVYf3P4fXvacvzPwkr/ue0iphtq+nkgYc20xlOUJ5t5+H75zMm69xISSDLCm/94wAH3tfEw4KbxzHryu78xKqqEt68mc7HHiPw2jpIJgEtssZzy814br8dU3HxiIz9eI4cOcKjjz6KoigsWLCAq6666qTbK5EkwQ8aCW5oQAnEgVSx0PmpYqGec+tmyGjglT/8kj1vvsa0y6/i6k99fljOEdnTRvs/9iOZ9RR8c346L31CSfCzLT/jn/v/CWh50v9n8f+Qbc0elnEIhhZVVYns2IHvuecIvLS2l7wwT5iAe9VKXB/6EMa8vGEdRzQhU90e4khLkCMtWlT5kZYgVW1BoomTRZWbjku/orXFGVYM50Gqr3OGWFAT6sfL9fYjEG47+b7Ogm65njWuW7BnlIPx9IpSCwSCkUMOhkg0dEnxhh6pV+pOT5Ifl3bFWFiE3nF6N99UVeVQ5yHerX+X9fXr2dmyk6SaTK93m91cVnQZS0uWsrBwIQ6TCOgQCAQCQTfeljDbXjnGwY1NKLKmYvPKXcy9tozSaVlCpo8gQqIPAiHRzxFUFdZ9Gzb8Ulte8g1Y+k2tWsNpcrQ1yIf/sol6b4Rsh4kHPzyXWWMyTr3jCBKPJHn5wT3U7utA0kksvXsiUxYWAloxJN+a5+h8/DHiR46m97HOmkXGXXfivPpqdCbTSA39BI4dO8YjjzxCMplk2rRp3HTTTej6uSGS7IwSXF9PaHMzalwGUsVCFxZhv1gUCz0T6vbv4Ynv/DtGi5VP//ERjJahF089o9FdK8pwLe2dOmht1Vq+/d63iSQj5Fpz+cmSnzA7b/aQj0MwfKjxOMF33sG35jmCb72FmkjlxpYk7JdegutD1+NcfgX6M/ie9YUTHGkNcLQlxJHWLmEepLYjjNLP1YxRL1GaZWdsKpI8HV2e7cBtE1Hlo56or7dYT4v2oxDpPMmOEriLtWj14/OwZ5SBYfR8FwoEFxJKKESioUFLr1LXRyS513vKY+jd7j4kebcs1zuGTl4H4gE2Nm5kff161tevpyXc0mt9mauMpSVLWVK8hJm5MzHoxPWoQCAQCE5OoCPK9ldr2Le+ATmVRjK7xMGcFWWMnZWDdKGniBwBhEQfBEKinwMoMrz4Fdj6N235qh/Ags8NyaGb/VHu/9tm9jX6MRt0/N/tM7n2ooIhOfZQE/LGeOG3O2mrDWIw61nx8WmUTssidvgwHf/4J77nn0cNa6lNJJsN9/XXk3HnHaMircLxNDQ08PDDDxOLxRg3bhx33HEHhj7SyvRdLNSG47JibDNEsdChQFVV/vqFT+BtbuSaz36ZKYuXDct5Qtua6fzXIXQOIwXfmIdk7J22pdJbyZfe+hKVvkr0kp4vzfkSH57yYXFH/hxE9vnwr30Z3/PPE9m6Nd0vGY3YFy3Cdc0KHMuW9Sk6VFWlwRflaEu3JO9q24Lxfs/ptBgYl+tgXI6DcbmaLB+b66BERJWfv4Q7+pbr7ZUQO0m0qqQDd0kfRU7HgmcMiCJ/AsFp00uSHx9NXl/fq0B1f+jcboxFhan0Kt15ybtE+VBK8uM5VbS5RW9hfsF8FhUtYlHRIkqcI1dPSCAQCATnNiFfjJ3ratn9Tj3JmBYomJFvY/aKUsbPy0MvfsOcNYREHwRCoo9y5AQ88ynY8xQgwfW/hDn3DekpQrEkX3h8O+v2a9ElX18xkU8vGTuq5F1HQ4jnf7ODYEcMq8vEdZ+5CFvVNjr+/nfC729Mb2caO5aMO+/EvWoleufoLMbW0tLC3/72NyKRCKWlpdxzzz0Yjd3SIl0s9J06Ykd7pIcY58G5WBQLHQ42Pv04G/71D0qmTue2//rhsJxDlRWafrIF2RvDc8M4HJeceLMqnAjznfe/w9qqtQAsH7Oc7y38Hk7T6HwvC05NvLYW3/PP43/ppV5PyEgmE8y/lJY5i9hbOp2Dfjld3DOcetqkLwrcll6SfFyOloYlx2EWnwsCDVWFcHsfcj01JUL976szaCK9p1zPrIDMciHYBQKGSJK7XOmoca1gZ3G3JC8sPOvXr76Yj01Nm04abb6oaBGXFV3GnPw5mPUidaBAIBAIho5oMMHON2vZ/WYdsbB249aRaWbmFWOYvLAAk3jqftgREn0QCIk+iklE4F/3weFXQGeEm/4E024allPJisoPXtzPXzdUAXDb3GL++4aLMI2CSOf6Q52s/cNuYuEk7hwLi0uqiD/19+6CfjodzuXLybj7bmzz541qkdTR0cHf/vY3AoEAhYWFfPjDH8aSSh+iFQttJfBuXY9ioWCdnoPzsmJMRSK35HDhb2vhwc89AKrKA798EE/+8DyNEdxQj/f5SvSZFvK/MhdJf+J7VVVVnjj4BD/e/GOSSpIiRxE/XvxjZuTMGJYxCYYXfzTB0VSe8uad+7C+9yblu98n39ec3iamM7A5fzJvF81kc94kZJOFsmwtBcu43O7I8oocBw6zuIgUnAGqCsHmvqPXOyohGel/X0mfEuzlKbGemjLKtRQxIge74DxgeCR5j6mw8IzSeg0FCTnBjtYdvN/wPhsbN7K3fS+K2l0/Q0SbCwQCgWAkiEeS7H67jp1v1BHxa0/gmu0GLlpSzPTLi7E6RTrC4UJI9EEgJPooJeqHx+6EY+vBYIXbH4HxVw77aR95v5pvP7cXRYVLK7L4wz1zRjRv7uEtzax7aB9KUiXLFGDqxp9h8LcC2o8Uz623kHnXXRiLikZsjAOls7OThx9+GK/XS25uLh/5yEew2WzdxULfa0BJfVlIplSx0EWFGDxCTJwNnv7Rt6nesZV5K29m8d33D8s5lLhM0483oYSSZN45EduM3H633d26m6+98zXqg/XoJT2fmfkZHpj2AHqdvt99BCODqqq0BGI9Cnt2t83+WF87UOZvZHnzbpbU7yTb1yPqz2TGdukluK9cjuPyyzFkZZ29FyK4sFEUCDSeKNc7q6Cj6uSCHQlcRSnB3odkN4ubwILRwYUgyY9HVVWOeI/wfsP7vN/4PlubtxI57u+5wl3BgsIFItpcIBAIBCNOMiFz4P0mtr9Wg79V+74yGHVMXlDAzCvH4Mq2jvAIzz+ERB8EQqKPQkLt8M+boWE7mJxw97+gdMFZO/1bB1v43KPbCcaSVOTY+fOH51KRc3Z/AKuqyuYXq9j8QjUAOa07mLL/IfRKAlNFBZn33oN71Sp0NttZHdfp0tHRwcMPP4zP5yMzM5P7778fa8JIcEM9oc1NqHEtAkjnMuFcWIh9fgE6q4g4PZsc2byRNT/9b6xOF5/4/cMYjMNz88i/7hj+dTUYS5zkfmbGSZ+cCMQDfP/977O2WkvvMi9/Hj9c9EPy7fnDMjbByUnKCsc6wlq+8rQoD1HZEiQQS/a7X67TnI4m7xlZnufSJEVs/378a1/G//LLJGpru3eUJKwzZ+JcfgWOZcswl5cP90sUCPpGUSDYpMn0jsruqUuwx/wn39+e20Osl/duraO7oLng3OJClOR90RJuYWPjxnS0eVukrdf6LEsWlxRewiUF2iSuKwQCgUAw2lAUlcrtrWx75RitNQEAJJ3EuDm5zLpqDDklIuXpUCEk+iAQEn2U4W+ER26A1gNgy4J7nobCWWd9GAea/Dzw0BbqvRGcFgO/umMWl0/qP2p2KIn7grz6s3c51qIJppLa1xl39BkcixeRee+HsS9cgKQb+TQzA6W9vZ2HH34Yv99PVlYWd115C2zzEtndBqlPIEOeDedlxdhmimKhI4Uiyzz4bw8QbG/j2s9/jckLlwzLeeRgnMYfbQJZJefTMzCXnvxzV1VVnq98nh9s/AHhZBiXycX3FnyPK0qvGJbxCbQ6EZWtIY60BjjaEtIizFuDHGsPkZD7vmzQ6yRKM21UpAt7aqlYxuY6cFkGdkNGVVVihw8TfP11Aq+/QXTPnl7rTWPH4ly2DMflS7FOn47URzFigeCs05WDvU/BXqmtOxnWDC1avWf0epdgt+fAKE7RJji7qKqK3NFBoqGRREMDicYGEg0NJBsbNVne2HjmhTtHICf5UOCL+djStIXNzZv5oPEDjniP9Fpv0VuYkzeHSwsv5ZKCS5iQMWFUpz8UCAQCgaALVVWpP9jJtldrqN3Xke4vmZLJ7KvGUDQxQ3ynnSFCog8CIdFHER1V8PdV4D0GzkL48LOQM3HEhtMSiPKZf2xjy7FOJAm+dvXwFhxNNDXR8PC/eGePG7+9BEmRmXhsNVMXFpJxzz2YK869KMy2tjYefvhhAoEAWc4MrrdcgqE2nl5vHu/BeZkoFjpaeP+px3jvyX9SNGkqd3z3x8N2no4nDxHe2ox1ejZZd00e0D41/hq+/s7X2du+F4Abxt3A1+d9XRQdPQP80QRHWoIcbg5wuDnI4VQ6lnpv/2krrEY9Y3PtWkHPLmGe66A0y4bZMLSpdhJNTQTeeIPgutcJbdoEye5od53bjX3BpTgWXYb9skUYc8/OTU6BYNBEvN0R6x2VvWV7sOnk+5ocmlDvS7I7C+EcuqEuODVqPE6iuTktxBMN9SQaG0k2NGjivLERNdZHiqzjOB8l+fH4Yj62Nm9lc9NmNjdt5lDnIVS6f9ZKSEzJmsKlhZdyacGlzMydiUkvcskKBAKB4NymtSbA9lePcWRrC102N7fUyayrSqmYlYNOJ5zK6SAk+iAQEn2U0LIf/n6D9oMyoxw+vAYySkd6VMSTCt95fi+PfqAV8bzuogJ+cut0bKahiYBUVZXI9h10PPJ3GjbsZ9eUjxOzZGCUwyyaFmDi/dedE4/N9kVzczOP/P0RgqEgmTon14RnYsUEegnbjBwclxVjKrCP9DAFPQh0tPHgZz+Kqijc99Pfkl0yPH+D8cYQLb/cBjrI//q8Aee9T8gJfrPjN/xtz99QUcmz5fG9Bd9jQdHZS/d0LuILJzjcEuBwSzAlyzVp3uSP9rtPtsOUjiofl6OJ8nG5DgpclhG5OJMDAYLvvEPw9TcIbtiA4vP1Wm+ePBnHokU4Fl+GdeZMpGFKRyQQDCnxEHRW94hg7yHafbXASS7T9ebuiPWM8u587Bnl4C4BgxCGowlVVVECAS2CvEckec8o8mRrK5zqp5kkYcjJwVhYiLGwAENBgTZfoC0bi4rOC0l+PP64n23N29jUtIktTVs40HGglzQHGOsey9z8uczLn8fF+RfjsXhGZrACgUAgEAwzvtYIO9bVsP+9RuSElhrXlW1hxhUlTLq0AJNFPLE7GIREHwRCoo8C6rZqOdAjnZA7Be59BpyjKzfhPz84xnee20tCVpmU7+RP985lTNbp5yNX43H8L79Mx98fIbpnDy3ZM9k3+cMoejNup8qHvnwxnoJztxBZ9YGjPPbkE8TkOJmKg2vis7BZbDguycexoBC9SxRsGq2s+ekPOLL5fWatuJ5l939y2M7T+uAuYkd9OBYX47l2cE9ZbGvexn9u+E9qA1r+7Fsn3MpX5n4Fu/HCvinTGYpzuCXIoeaAFmGekuUtgf4jF/NdFsbnaYJ8Qp6T8SlZ7rGNXgGnyjKRXbsIvfsuwXfXa2lfelzO6Ox2rHPnYL/4EuyXXIx50qRzKgWWQABAMgbemj4Ee6X2xJ7Sfx0CJB24iiGzDDLKNLGekZrPLBd52IcBNR4n0dJKsrmJRGNT73QrKWmuhEKnPI5kNmNMiXFDYU9BnpLkeXlIptH7+TxU+GI+drTs0CLNmzdzoOMAiqr02qbcXc68vHnMK5jH3Ly5ZFuzR2i0AoFAIBCMDJFAnF1v1rH7rTpiYe3a0GQ1MHVRIRddXowzc2DBahc6QqIPAiHRR5iqd+CxOyEehKK5cPeTYMsc6VH1yebqDj79j220BWO4rUZ+ftsMrpicN6hjJNvb6XziCTofewy5tQ0VicpxN3CseDmg5bW6+mNTMdvOzSjKeGOI3S9v4qXqd5ElhVzFzTX2+WQvKsM+Nx+deWjTPQiGnuqd23j6h/+F2Wbnk79/GKNleL54I/vbaX94H5LFQME35w/6vRFOhPnFtl/w2IHHAChyFPH9hd9nXv684RjuqKI9GONQc5AjqejyLmneFoz3u0+h28L4lCTXpLmT8XkDz1c+mkl2dBBav57gu+sJrV9/Qk5gnduNff48bBdfgv3i+ZjGjRPpowTnNnIS/HUnCvbOam1KhE++v8V9oljvmncVg15EL/XkeEF+fJtobkJuaz91FDmgz8joJ4pc69NnZl6Qn0+NwUa2tWxje8t2tjZvPSGnOUCZq4y5+XOZnz+fuXlzybHljMBIBQKBQCAYfSRiMgc3NrLj9Vp8LVpqzq4ipDOuKCGvTLjOkyEk+iAQEn0EObgW/nUfyDEoXwx3PAbm0R193eiL8KlHtrKzTksl8MklFXz1qokY9SePcoweOEDH3x/B/8ILqHFNdCkFpeyf+1maA1r07IwrSlhw01h0pzjWaENVVKL72gm+18Ce6gO8Y9yPKqmMMeVx8zWrcM0oQBK5uc4ZVEXhr1/8JN7mRq765Oe5aNlVw3QeleafbSHZHsWzaiyOSwtP6zibGjfxrQ3foiHUAMAtE27hi7O/iNvsHsrhnnVUVaU1GONIKlf5oeZAOmd5R6h/WV6cYU2Jcme6HZtjx3keyPKBoCoKsQMHCH2wifDGjYQ3b0YJ9xaK+qwsbLNnY509G9vsWVgmT74gIjsFFwiqCsGWlFCvSqWLqeoW7KfKw64zaOlgesn1HpLdcn5dK6uJBInmFk2INzWRbGoi0dRMsqmRRFMziabGAQtyyWjEkJ+PMS8PY1EhhsLCVFR5kRZFXlCAzmo9C69qdKOoCke8R9jevJ2tLVvZ3rKdptCJ78tSVylz87T0LPPy55FrE7UvBAKBQCA4GaqiUr2nnZ2v11B/0JvuLxjnZuYVYyibkS3ypveBkOiDQEj0EWLXk/DMJ0GVYeJ1cMtfwXhuPGoSS8r86KUDPPReNQBzSzP49V2zKHD3/mGkyjLBN9+k4++PEN60Kd1vmT4dddV9rN/rJtARw2DSsezeyYyfN7io9pFGCScIbWkm+F4DSW+U3foaNhm1yKFpYydzw503YzCIaLZzkc3PPc07//wbeRXjuedH/zds5wm+14D3uaMYsq3kfXnOad9sCSVC/HTLT3nq0FMAZFmy+Mb8b7CibMWoj+hTVZWWQEyT5OningEONQfxRRJ97iNJUJJhY0JXRHk6utwxZPUazhfURILo3r2aVP9gI+Gt204ozCeZzVgvugjr7NlYZ83ENmsWeo9nZAYsEAw38bCWDqaXXO9qj2mBDSfDltV3ipiMslFX7FQJhUi0tJBsaSXZ0kKypfnMBXl+fo82r9fyhRpFfipicoy9bXvZ1rKNbc3b2NG6g0A80GsbvaRncuZkZuXNYk7uHGbmziTLmjVCIxYIBAKB4NyntSbAztdrOby5GUXRrnVE3vS+ERJ9EAiJPgJs/jO8+FVAhel3wKrfnpOPDr+0u5FvPLWLQCxJpt3Ez2+bwdKJucjBIL6nn6bjkX+QqKvTNtbrcV19FZkf/jDHInm89c+DyEkFd46Vaz51EVlFozsCvyeJ5hDB9xoIb2tBTSjIKLxnOcRB6gFYsGABy5cvRzeKfkgLBkfY7+NPn74POZnk7h/+H/ljxw/LeZSYTOOPPkCNymR9ZCrWSWeWymlL0xa+t/F7VPmqAFhYtJD/vPg/KXYWD8VwzwhVVWn0RVPFPQPdBT5bggSifec21klQmmVnXK6D8amc5eNyHYzNcWA1idRIp4MSjxPdtYvwtu1EtmuT7PWesJ2prAzLRRdhnTYVy7RpWCZPRmc7/ToYAsE5gaJAoLE7ar2zRwR7RxWE206+v94EntI+0sSUa8XiTUNTt0KJxUi2donx7inR0kKyuXt5IDnIoS9BnneCMBeCfGCoqkpdsI5drbvS04HOAySPy+FvNViZkTOD2XmzmZ07m4uyL8JmFJ+xAoFAIBAMNcHOGLvfrmPvO/W98qZPWVTIRUuLcGWJp+SERB8EQqKfZd79Gbz+PW1+/idgxY9HVdTSYDnWHuIz/9zG3gY/BcE2vhndxYRtb6Gm0gfo3W48t91Gxl13QlYu6584xL4NjQCUXZTF8vunnBP5z1VFJXqgg+B7DcSOeNP9cq6RdYad1HY0IkkSV199NZdccsnIDVQwZLz4q59wYMPbTF26nBWf/uKwncf7UiXBd+oxj/OQ87GLzvh4cTnOX/b8hQd3PUhCSWDRW/jUjE9x75R7MemHP2WHoqg0+CLdkjwdXR4kGOtblut1EqVZtl6ifHyuk4ocOxajkOXDiaqqxKuqiGzblhbr8aqqEzfU6TCPrcAydZom1adOwTx+AnrHhV3MVnCBEQv0EOzVvdPEeGtA6fvpmTT2XE2me0qPa8eAuwRV0WocpKV4c3Nqvrcw7+vGV3/o7HYMubkY8vIw5OQIQT7EhBIh9rTt6ZbmbbvoiHacsF2WJSstzGflzWJixkQMunMvgEYgEAgEgnOVPvOmS1A+M4fplxdTON5zwV4PCYk+CIREP0uoKqz7Dmz4hba8+Gtw+f/T/mrPYVRVxbvhfbb87HcU7t+GjtSfVGk5+R/9CO6V16OzWuloCPHKn/fQ0RACCeZdV868a8tGfa5w2R8ntLmJ0KYmZF/qEW8JrFOyiE2z8NS7L9DR0YHJZOLWW29l/PjhiVgWnH0aDu3nsW99Db3RyCd+9xA21/DkGE92Rmn6yWZQIPcLszEVDI2UrPJV8f2N32dz02YAxjjH8PV5X2dx8eIhuThQFJW6zkg6mryruOeRliDhuNznPgadRHm2vbuwZ0qal2XbMBuELB8tJDs7ie7ZQ3TPHiJ79hLds4dkc3Of2xqLizFPmIB5wngsEyZgnjABU1kZkkhlJbjQUGTw15+QJkZtr0JuPEbSGyAZ1ZOM6pBTbTKqIxnp7pPjAw+qkMxmTY7n5mLIzcGYm9djWesz5OSKG11DiKIqVPmq2NW6i52tO9nVtosjnUdQ6f1z0qAzMCVzCtNzpqenQnvhBfvDXCAQCASC0URX3vRdb9RSd6Az3Z9b5uLmr8+5IHOmC4k+CIREPwsoMrz4Fdj6N235qv+GBf82smM6Q5RoFP8LL9Dx90eIHTqU7t9ROIV/lS1ib/5EvrpiIg8sLOfgxibeffwQyYSC1WXiyo9OoeQM01YMJ6qiEjvqJfRBI5F9HZDKn6WzGbDNzcNxSSGVbTWsXr2aaDSK2+3mrrvuIi/v3MrpLjg5qqry6P/7Mk1HD7Pwtnu45OY7hu1c7Y/uJ7KrDducPDJvnTBkx1VVleeOPsf/bf0/2qPtgJbi5evzvk6Fu2JAx5AVldqOcC9RfrhFa6MJpc99jHqJimwH4/IcTMh1Mj5PS8dSmmXHZDh3n7y5kEm0tBDdu5fonr1E9uwmtv8AyZaWPreVTCZMY8diHj8Oc3k5pvJyTGVlmEpLRVFBwXmBmkwid3aS7OhEbm8j2dZGsrWNZHs7ybZW5LZ2ra+9HbmjY0A5x9NIKgarjMGqYEy1BouMwS5hyMnCWFCEoagcXeFYpIxS8JRp0ey2rHM+MGM0oagKtYFa9rXvY2/bXva272V/x35CiRNT5BTaC3sJ80mZkzDrzSMwaoFAIBAIBIOhvSHI7jfrOLixiXFzc7nivikjPaQRQUj0QSAk+jAjJ+CZT8GepwAJrv8lzLlvpEd12iQaGuh84l94//Uv5E7trp1ks+G54QYy7rmHQG4h//70btbtb8aowl06B7mdWlRqyeQMlt8/FZtr+FNKnA5yKEF4azOhDxpJtkfT/aZSF/ZLCrBNy0bVw1tvvcU777wDQElJCbfffjsOx7mT010wcPa/+yYv/eZn2D0ZfPy3f0VvGJ7UQ7EaP62/2wl6iYJ/n4/eObR/I8F4kD/t/hOP7HuEpJLEIBm4c/KdfGrGp3CZtM/9pKxwrCPM4WatsKcmzYMcbQ0ST/Yty00GHWNzNEHeVdxzfJ6T0kwbBr2Q5ec7yc5OYocOEzt0iNihg0QPHSJ2+Eg6nVdfGAoLMJeVYSpLifXyMoxFxRiLCtGZhXQSjAxKNIrc0aFJ8c6OlCDvQE4ta/2d2jadnSg+3+BOoNOhz8zEkJ2tTVlZGHKy0Wd1LWdisOnQG0Lok21I/hqtyKn3mNb66rRC9CfDaD8xRUzPtDEWcY3fH115zPe272Vf+z72te1jX/s+AonACdtaDVamZk3tlubZ08mx5YzAqAUCgUAgEAwV0VACOaFg91yYv0eERB8EQqIPI4kI/Os+OPwK6Ixw059g2k0jPapBo6oq4fffp+PRRwm+8aZWeAswFhaScc89eG65GX2P946qqjzy/CHqX67DpUgoqBhnZvCxj83EMMqiUFVFJVbpJbSlmcjuNpC1jwTJrMc2OxfHxQUY87VHoUOhEE8//TSVlZUAzJs3j6uvvhqDSFtw3iInEzz4uQcIdXZw7ee+wuTLLh+2c7X8bgfxmgDOK8bgvrJ0WM5xzH+MH2/6X96t124CmSUHRdKHiLZfQlVrnLjctyw3G3Tp4p7j85zptiTDKmS5oBeqopCoq9PE+pGjxKuqiFdXE6uuPqV4NOTkYCwqwlhcnGqLMBUVYSwsxJCXJ6LYBadEVRSUYBDZ50P2+rTW50X2+VB8PmSfXxPknSlB3tFB0us96Y2ffpEk9B4Phuxs9NlZGLJz0nLckJ0S5DmaMNdnZCDpzyBllZzUUsV4a7rFes820HjqY1gz+hDsZVrrGQNGy+mP7xxCVVUaQg3pCPN97fvY274Xf9x/wrYmnYlJmZOYkjWFKVlTmJo9lQp3hchlLhAIBAKB4LxCSPRBICT6MBH1w2N3wLENYLDC7Y/A+CtHelSDQg4E8D3zLJ2PPdar0Jzt4ovJuPsunMuWnZD3Vk4ofPBcJdvX1YAKUZPEalOUeoPCjBIPP775Iiblj/z7LNkeIbS1mfC2FmRvLN1vLHLguKQA64wcdKbuH7y1tbU8+eST+P1+jEYj119/PdOnTx+JoQvOMhuffpwN//oHeRXjufuHPx+2nKbhXa10PHoAnd1Iwb/PRzKemZyOJxWq2kLp4p5HUulYqtpCqNYDmPNeRG/W0nEoCTex1uUYw/MYl+tOpV9xpqPLizNs6C/A3HCCoUNVVeTOTuLV1ZpYr6oiVl1N4lgN8fr6AUlMncuVyv2ci6Er/3Oelv/ZmJurScvMDHQ221l4RYLhQk0kkINBlGAQJRBIz8t+f0qEpwS535+S5JooV7w+5EAgfaN/0BiNGDIytIjxzAz0Hm1en5mBITMTfUaqP7WN3u0+MzE+lCSi4KvtlurHi/bIiYUuT8Cem5LrJeAuSc2PSc2XgNk5/K9jiInLcY54j3Cw4yAHOw9yoOMAhzoO9RlhbtQZmZgxMS3Lp2ZNpcJTgVE3PE+gCQQCgUAgEIwWhEQfBEKiDwOhdvjHTdC4A8wuuOsJKF0w0qMaMNGDh+h89FF8zz+fFhs6ux33qlVk3HUn5nHj+tyvrS7Aa3/dpxUPBSYvKGDBzeNYvaeRH720n0AsiUEn8aklY/ns5eOwms7uj08lJhPZ3UZoaxPxqu6II8mixzYjB/u8fEzFvX8kyrLMu+++y9tvv42qqmRlZXHbbbeJ/OcXEGG/jz995iPIiQR3fO8nFE2cPCznUWWVpp9sRvbGyLh5PPZ5+QPaL5qQU7I8yJHmAIeatZzl1e1hZKXvrzi7Sc/YPBu2zB0ck1cTlLV86RXuCj4/6/MsG7NMFEATnDVUVUX2eknU1ZOorydRX0eivp54fb3W19g4qEhhyWLRxGdPCZqRmZKfGeg9HvROJzqHE73Tgc7p1CbT6Ew1di6gxuMokYg2hSMo4TBqJNy9HEzJ8EDwxPlASpIHAyiBIGo0euoTngLJakXvdveePG50LpcWPd6HFNc5HOfv514scGL0urdHyph48NTHsGZ0y/W0ZO8h3K0ZI5qTvTPaqUnyzkMc6DjAgY4DVPuqSarJE7Y16AyM94xnavZUTZpnTWW8ZzxGvRDmAoFAIBAILjyERB8EQqIPMb46eOQmaDuoFXm6ZzUUzhzpUZ0SJR4nuG4dHY8+SmTL1nS/adxYMu66C/fKVegd9j73lZMK21+tYfOLVSiyitVpZOndk6iY2Z0jsskX5Vtr9vDavmYACt0W/vNDU7hmWv6w/mjtStcS3t5KZHcrajwVoSaBeZwH+9w8rFOykIwnCv2Ojg6eeeYZamtrAZg6dSrXX389FsuF8cizoJtX/vBL9rz5GhMuWcT1X/r3YTtP4J06fC9VYcizkffF2b3+NqIJmaOtQQ6nJHlXdHl1e4h+XDlOs6FXcc9xqTQshW5L+tgxOcbjBx7nwd0P4otp6TYmZ07mE9M/wbIxy9BJIl2LYGRRVRUlFCLZ3EyypYVEczPJ5haSLS0kW5pJtLSQbG5Bbm9HTSRO+zyS2YzO6UTv0MS63ulAZ3cgWSzoLBYkqwWdxYrOakHqas2W1HJqG6NRe0LLYEAyGJGMBiSDobsvtT7d1xXJnPp7HOj3oaookEyiyjKqrICszSPLWl9STvV1r1MTCdRYTBPesRhqLI6aiKPGYtpyvGt91zZx1HhqfUQT40okjBqO9FjW5jmDf/d+/z8sFnROB3qHE53Dgd7p1ER4Wox70nK8S5TrXC6tFfn1B46qQrgDfDXgrdXkuq9Wm/fVaMvRAeSANzm6o9Z7RrB7SrV5R+6QSPa4HKfKV8UR75FeUeYt4b4LHbvNbiZlTGJi5kRtyphIhbtCCHOBQCAQCASCFEKiDwIh0YeQlgNaBLq/HlxFcO+zkDNhpEd1UmKVlXiffArfs8+mC4Wi1+NcvpyMu+7CNn/eSX/UN1X5ePORA+no8/IZ2Sy9e1KfxUNVVeWVvc18/4V91HsjACwYm8V3Vk5lQt7QPSasqirx2gCRHa2Ed7eiBLp/3BuyLNjm5GGbnYehn6IRqqqyc+dOXnrpJeLxOGazmWuvvZbp06efv1FqgpPSWlPN37/2OSRJx/2/+AMZ+YXDch4lmqThhx9AXOHA4jy26hQON2tFPms6wvT3jeWyGJiQ1yXKnUxIpWPJc5kH/J4NxAM8tPchHtn3CJGk9vc5zjOOj1/0ca4uuxq9bpSkLRAI+qFLtqcLQHZ0IHd6exSK1Ppln687AjoQQAmFRnro/dP19ytJ3fPyKQpMjiQGAzqbDZ3Vis5qRbJZ0Vlt6Bx2TYY7HdpNip7zzm5JrnM4tHmHA8koJOeoIepPifWaHnK9h3APtZ76GHozuIt7RLCP6R3N7iqEHt8zSSVJjb8mLcu7php/DXI/RVbHOMekRfmkTE2c59nyxLWbQCAQCAQCwUkQEn0QCIk+RNRugkdvg0gnZE+Ee1drPxZGIUo0SuCVV+h88sleUeeG3Fw8t9yC5/bbMJ4iXUk8mmTjmkp2v1UHKlgcRhbdOp4J80/9YyUSl/n920f5w9tHiScV9DqJ2+eV8MUrxpPrOv0o70RTiPCOVsK7WpE7uh8Hl6wGbNOysc3JxVTqOun4fD4fL7zwAocPHwZgzJgx3HjjjWRkZJz2uATnB6v/5ztUbd/CRVdczVWf+LczPp4vkuBIS5AjLQGOtAS1dCwtQW7qVLgNMxtJ8lV6p7Dw2IxMyHWmosu7i3zmOAcuy09FZ7STf+z/B4/uf5RgQnvEv9RVygPTHuC6iusw6UXKC8H5hSrLWjqRVHoRJdAl2P1atHU0hhqNoESiKNEIaiSKEo2iRlNtJIISTa1LJCCRRE32nkgktHa4Lzt1Oi1Pt16vtQYDkk6nLZuM6ExmJLMZyWRCMpvQmUxIJ/R1zZu7t7GmZLhNk+M6mw2pa7mnNBcpcS5MEhHtSUzvsZRk7ynca8HfAPT93leAeoOBwyYzR11ZHLbYOKqHKiVKgr7z2ztNTsZ5xjHWMzYtzMdnjMdu7PuJSYFAIBAIBAJB/wiJPgiERB8CDr8GT9wLyQgUzYW7nwRb5kiP6gSiBw/i/deT+J5/HsWfygmu0+FYsgTPrbfiWHzZCYVC+6JqVxvvPHaQYKdWkHPixfksvHUcVsfgfjzXdoT5/gv7eDWV4sVq1PPRRWV8cslYXJZTR6CpqkqiIURkbxuRve0km7uFo2TSYZmShW1GDpbxGUiGk6ekUBSFLVu2sG7dOuLxODqdjqVLl7Jo0SJ0OpHOQgB1B/byxLe/gd5g4GO//guOzKxT7qOqKu2heCr1Sm9Z3hKI9blPIRKP40CHxBPTXeSUuxmX62BCnpMsu+msRdT5434e2/8Yj+x/JJ3mJduaze0Tb+fWCbeSZT316xcIBL3RUq0kURNJSCZQVbW3WO+aP65NX66qIOlTUrxLkBsM3eJcRNwKRiPJOOGOoxxr3kZV6z6qfJVURZqoivs4RoJYP29bq6IwLp5gbCLBuHiC8ZgYa80h11mC5CnRnvp0l4C7SAtccRaCQdzIEQgEAoFAIBgMQqIPAiHRz5CdT8Caz4CShHHL4ba/g2n0RMIkOzvxr12L79k1RHftSvcbi4rw3HIz7ptuOmXUeRedTSHWP3mEmr1aEUJXtoUld01kzJQzk2kfVLbzPy8fYHuNF9CibT+1ZCz3XFKKw9xb6quKSrzaR2RvO5G97cjeHiJSL2GZmKmJ88mZ6AZYuLSlpYXnn38+nfu8pKSE66+/ntzc3DN6XYLzj8e//XXqD+xj7vU3seSej6b7VVWl0RdNC/Kewtwb7j9XcIHbwrjcVK7yXGd6Xl19hMjedmxz8si8dWRTQoUTYZ44+AT/2PcPWiJazlmTzsR1Fddxz5R7mJAxulNWCQQCgeDsoKoqLeEWqvxVVPuqqfJVaZO/iqZQU7/7mXQmKpwljLVkM05nZ7yiY2wsSmGwHZ2/Xotyj3oHMAIJHHndUt3dJdqLU30lYMsGERwhEAgEAoFAkEZI9EEgJPoZ8P5v4ZX/0OYvug1u+B2MgkJFSjxO8O238a1ZQ/Dtd7oLfhmNOJctw3PrrdgXXKpFsA2AeCTJ5peq2fV6LYqiotNLzFxewtxryzGahyZPsqqqvLqvmZ+8cpAjLVoKCbfVyEcWlHHf7GIsDWGiBzuI7m9HCSXT+0lGHeYJGVinZmGdnIXOeupI+i4ikQhvv/02mzZtQlEUTCYTy5cvZ+7cuSL6XNAnh7Z8wPM/+T46kxnzPd/hiE/maEqch+J952iVJBiTaWNcjoNxeQ7G5WhpWMbm2HH288RFvDZAy293gE4i/2tzMWSMfDHbhJzg1WOv8si+R9jbvjfdPz9/PrdOuJVlY5aJVC8CgUBwnqOqKp2xTmr8NdQGaqkJ1FDjr+GY/xhVvirCyXC/+2aYMyh3l1PuLqfMVZaeL3QUYtCd4votFgBfPfjrNKnuS8n1nsty30949UJv6iHWU9PxEe3moavTIxAIBAKBQDDaERJ9EAiJfhqoKqz7Dmz4hbZ8yWfhqv8e0cgWVVWJ7tyJd80aAi+tRfb50ussU6bgXrUS14c+hCFr4FHjiqJycGMj7z9bScQfB6D0oiwW3TIeT55tyF8DgKyoPLOtjhfXHaXYm+BiDFyEHj3dz/pKVgPWyZlYp2ZhHp8x4IjzLhRFYfv27bz++uuEw9qPvYkTJ3LNNdfg8XiG8uUIzkFUVaUtGKeyNUhlW0hrW0NUtoWoaQ9xW92/yI63s9Ezj80Zc9P7GXQS5dn2VFS5g7Gp6PKKHDsW4+BvNrX+eTexI17slxaQsWrcUL7EM0JVVXa27uSRfY/wes3r6QJvHrOHD1V8iJvH38y4jNEzXoFAIBAMDlVVaYu0pQV5T1leG6hN18voC72kp8RZQpm7jHJXeS9p7rF4hnPQEGrrIdV7TF3R7IEm+svN3guzWxPqzgKt4KmrqEeb6rN4uov9CgQCgUAgEJzDCIk+CIREHyRyEl74Amz/h7a8/Duw8IsjciGtqiqxAwfwr30Z/8svk6ipSa8z5ObiXnk9rpUrsUwYXLoFVVWp2tnGxjWVdDaGAHDnWll063jKLsoe0tfQRdIbJXbUR+yol+jhTpRA7xQYx5DZRJJYqYvFy8u5dFz2oHO/qqpKZWUlr732Gk1N2mPF2dnZrFixgnHjhPS70IgmZKrbQ5ogT4nyoylpHogm+93vouhRlja+imyyYb37W4wvzmZcrpPSLBtG/dDdSIse9dL24G4wSBR8Yz565+iL8m4MNrL6yGqeOfwMzeHmdP+MnBncMO4Griy9ErfZPYIjFAgEAkFfRJNRGoIN1Afr022XLK8N1BJJRvrdV0Ii357PGOcYSlwljHGOYYxzDOWeckocJRhHwVOZfSIntCKnXVL9BNFeC1HfqY8DYLRpMt1Z0EOy9xTtRSJ1jEAgEAgEgnMCIdEHgZDogyARgac+CgdfAkkH1/8SZn/4rA5BVVVihw7jf3ktgbUvE6+uTq+TrFZcV12Ja+VK7JdcohUaGyT1hzp5/5mjNFdphUfNNgNzVpQxfVkx+lMU5xwMyc4osUqfNlX5kDuivdZLJh3msR7MEzLYblD4w4463jvanl4/Mc/J3ZeM4frphWTYTy0Xa2tref3116lO/XuZzWaWLl3K/Pnz0Z/Gv5Pg3CApKzR4o1S3hzjWHuJoKqK8sjVIvTdCf98AkgTFGVYqsh1U5NipyHEwNltrc+wGHv7qZ+hsbGDBbXdz6c13DsvYVVWl9fc7idcEcCwpxnNN+bCcZyiQFZkNDRtYfXg1b9e+TVLVbkIYdAYWFi7kmvJruLzkcmzG4XmCRSAQCAS9ickxGoON1Afre4nyrrY92n7S/XWSjkJ7IWNcYyhxpkS5S5PlRc4izHrzWXolZ5mutDGBhpRwT0l3f2P3fKRjYMfSGTWh7iw8TrL3WHbkg37gqQgFAoFAIBAIhhoh0QeBkOgDJNIJj90JNe+DwQK3/BUmXXdWTq2qKrGDBwm8+hr+l18mXlmZXieZzTgWL8Z1zQocS5agsw++qKmqqjQc8rJlbTV1BzoBMBh1zLiihFlXjcFsO7OIIjWpEG8IEq8NEK8JEK/xI3cel7dSB6ZiJ+ZyN+bxGZjLXEjHSftDzQEefq+a1dvqiSS0FBJGvcQVk/K4eU4xSyfmnBAJ3NjYyJtvvsmhQ4cA0Ov1zJs3j8suuwz7afxbCUYf8aRCbWeYY+0hqtvC1HSEU9I8TG1HmKTS/8e822rUJHlKlo/NsVOe7aA0y3bSFCwHNrzNi7/6CSarjY/95i9YHcOTPzWyv532h/chmfTkf30uesfoi0Y/nrZIG88dfY4XK1/kUOehdL/VYGVJ8RKuLL2ShUULsRvF359AIBCcDqqq4o/7aQo10RRqojncTFOoqZckb420nvI4DqODIkcRhY5CihxFFDuL07K80F44eiPKR5pERBPqgR5i3d/Qewo2M6DUMZJOK4baM3WMM19bduZ3TyJ9jEAgEAgEgmFCSPRBICT6APA3wj9ugpZ9Wp7Eux6H0gXDeko1Hie0aTPBN94g8NabJBsa0+skkwn74stwrbgGx9Kl6B2nJ6NUVaVmbwdbXqqmqVJ7fFWnk5iyqJC515Vhdw8+ykhVVJJtERINQU2Y1waINwRBPu5PrUuaV7gxV3gwlTrRmQcWieOLJHh6ax1Pba1jX6M/3Z9pN3H11DyumpJHsTHEB++/x5EjRwCQJImZM2eyZMkSkff8HCQSl6ntDFPdpsnxLkle3R6iwRvhJJ4cs0FHaZaNMZmaJO+KLK/ItpNpNw06LRCAqig88o3P01pTzbxVt7D4ro+c/os72XlUlZbf7CBRH8SxqAjPhyqG5TzDxVHvUV6qeom1VWupDdSm+406I/Pz57O0ZClLS5aSb88fwVEKBALB6CIQD/SS4+kp3ERzqJnmcPNJ0610YTVYKXIUpacuWd417zK5Tus7UDAA5IQm0vuT7P4GLdpd6T99XC8Mlm653iXd+5LtZpeQ7QKBQCAQCAaFkOiDQEj0U9B2BB65EXw12iOX9zwN+dOG5VTJzk5C775L4I03Cb37LkoolF4nWSzYFyzAteJqHMuWoXc4Tvs8ckLh8JZmdr5RS1utVhxKb9AxZWEBM68agyvLOqDjKNEkicZQeoo3Bkk2h1ETygnb6uwGTCUuTCVOTGOcmMa40JnPPI3K/kY/T2+t49kdDbQHo5TovEwzNJKr6/q3k5gweTJXXbGM7OzhyecuOHNiSZn6zgh1qam2M6y1HVrbFoyddH+bSU9plp2yLFvvNttGntOCTjf0PyiPbt3Es//7PQwmMx/79Z+xezKG/BwA0UOdtP11D+gl8r82F4PHMiznGU5UVWVf+z7WVq3lzdo3qQnU9Fo/OXMyCwoXcEnhJczKnXX+pgkQCAQXNAk5QVukjdZIK63hVq1NzbeEW9KiPJQInfpgQIY5g3x7Pnn2PPJseWk5XuwoptBRiMfsEZJ8NKMoEG47TrLXQ6BZi3IPptpI58CPabRpMt2Rf5xkP162D88TdAKBQCAQCM49hEQfBEKin4T6bfDPWyDcDpkVcO8zkFE2ZIdX4nEi23cQ2rCB0IYNRPfto2eSZn1ONs6ll+NYdjn2Sy9FZzkzeRbyxdj7Tj173qknkircaTDrmXZZITOvHNNn5LmqqMidURJtEZKtEZKtYZKtERJtERR/vM/zSEYdxnx7tzAvcaLPtAzbD7lQKMTWbdt4b+MmoqEAALIqcVjOZq+cTxALFxW5uWx8NovG5TCzxIPVJPKgn02iCZkmX5R6b4S64wR5bWeYZv/JJTmA02ygLNtOaZaNsqxUm1rOcZjPuihQVZXHvvVVGg8fZPoVK7jyE58btvO0PbibWKUP25w8Mm8dXKHg0YaqqlT5q3ir9i3eqn2LHS07UHs88m7Wm5mVO4uLCy7mkoJLmJg5EaNOpBQQCASjl5gc0+R4uLW3IA+30hZpoyXSQlu4jc7YwGWoy+Qi356vSXJbXno+36a1ubZcLIZz76aq4DRIRCHYBIEmTap3Sfb0cpO2fqBFUQFMjt6y3ZEHjtwebWrelgU6cc0sEAgEAsH5jJDog0BI9H44+iY8cQ/Eg1AwA+5+Ghw5Z3RIVVGIHT5C+IONBDdsILxpM2qk9+O45gkTcCy7HOeyZVimTUPSnVkxT0VRqTvQwf73Gqnc0YqS1N7yjgwz05YUMWVhISZVJdkZQ/ZGU20MuVObT3ZEINn/n4nebcZYYO81GbKsSMMQ+dsTVVWpra1l69at7NmzB1nWcqRbLBbmzJmDvWQybx71886hNg42B3rta9BJTC10Mbs0g9ljMphTmkGBe/gk//lOlyBv9EVp9EXSbZMvSoM3SpM/Skeo7xsuPbEa9ZRkWinOsFGcYaWkq83UWrfVOOr+j+r27+GJ7/w7SBL3/PD/yKsYNyznidX4af3dTpAg74uzMeadP/nEO6IdrK9fzweNH7CxYSMtkZZe660GK9OypzEzZyYzc2cyI2cGbrN7hEYrEAguBFRVJZAI0BHpoCOqTe2Rdq2Ntqf7uvr9cf+pD5rCoDOQY83RJlsO2dZscqw55Npye0lzUYhZMGji4eNke1OPqcdyPHDqY3Uh6cCeo0l1e27/st2RK/K2CwQCgUBwjiIk+iAQEr0P9jwNqz8JSgLKF8Pt/wTL4P9t1ESC6P79hLdsJbxlC+GtW1F8vaNE9FlZ2BcuwLFwIbZLL8WYmzskL8HXEubQu/XUbGlGDiSw6MAiSWR4zOTkWLAZdMiBOLI3dmK+8uMxSBiyrBhzrBhybBiyrRhyrBizrejOsOjoYOns7GTXrl3s3LmTjo6OdH9BQQHz589n6tSpmEy9iy82+6OsP9zGu4dbee9oOy2BE6OeM2xGJhe4mJTvYlKBk8n5Lipy7NgHmKf9fCQUS9IaiNEajGltamoJRFNtjEbfwAQ5gMWoo9DTLceLM2xpaV6SYT3t/OQjzYu/+gkHNrxN4YTJ3PG9/x2219D2931E97VjmZhB1kemnpP/VqdCVVWqfFVsbNzIxsaNbGneQqCPH/vl7nKmZU1jYuZEJmdOZmLmRCHWBQJBv8iKTCAewBvz4o158cV8eGPeE2R4T0meHGiu6hQmnSktxXNtub3aLmGeY83BbXajk84sQEIgOCNiwe5UMV2CPdiSmpoh1Jpq2xhQcdQu9CZNqNtz+pDtPaS7PRdMdiHcBQKBQCAYJQiJPgiERD+OD/4Ea78OqDDlBrjpT2AYWH7eZEcH0d27iezaTWT7dsI7dqCGw722kaxWbLNmYl+4EPvChZgnTOg32lxVVdSYjBJJpie1x7wSSaKEE+n5ZCBB3BdDiSYxKOrAJZsO9C4zeo8ZQ4alu80wY8iyoveYhz2y/GT4fD4OHDjAvn37OHbsWLrfaDQydepU5s6dS1FR0YBer6qq1HsjbD3WybZjnWyt6WR/YwC5n8qU2Q4TpVl2SjNtjMmyUZplI89lIddpIddlxmk2nBMyU1FUfJEEneE4neEE3lTbGYr36mvrIcxDcXnAx7cYdRS6reS7LRS4rRS4LRR4LFqbWh6NkeRDQaCjjb998VMkYlGu+eyXmbJ42bCcJ9EapvkX20BWybp3CtapWcNyntGEoipU+arY0bKDHa072NGyg2p/dZ/bFjmKmJQ5iQkZE6hwV1DuLqfUVSrSHQgE5xnRZLSXCB/IvD/m75U2aqA4jA4yLZndk7V7PsuaRZYliwxzBjm2HFGkU3D+ISe1nO3BZgimxHqw+UTZHmweXCoZAINVk+32rFSbo6WO6Zq3Z6emHLBlg1F8lwsEAoFAMFwIiT4IhERPoarw1o/g7R9ry/M+Btf8b795AJVQiOj+/UR27yG6exeRXbtJ1NWdsJ3O7cY2ez6WGXOxTL4IY34JSpzjZHiib1EeTcKJNToH/pIAzHqMHjN6txm9w4jeaULnNKHvmjLM6F1mJP3o+uHX1tbGgQMH2L9/P/X19b3WVVRUMGPGDCZNmoTZfOYFCKMJmcPNQfY3+TnQGGB/o5+DzYEBRVhbjDryXBayHWbcViMuiwGX1YjLYtSWrQYsRj1mgw6TQYfZoE+12rLuJD+4FVUlnlTSU0xOtT36wvEkwViSYDRJKJ4kEE0SiqX6YjLBWIJgNIkvkqCf+wQnxWrUk+syk+Mwk+NMTan5XJeZfJeVQs/5K8gHygfPPsn6xx7G7sngIz//PRb76Rf+PRm+l6sJvFWL3mMm78tz0F2Auf07o53sbtvNvvZ9HOg4wIGOA9QH6/vcVkKi0FFIubuccnc5Za6ydOG9QkehKGAqEIwAcTmOP+4nEA/0mvrsS5zYF5NPXUOjP+xGOx6zB7fZjcfs6SXE0/MWbT7DkiFuwgkEAyURhVBLP7K9R5R7sAUS4VMf73hMzt5i3Z6tyfW0dD9OxutFLRWBQCAQCAaKkOiDQEh0QJHhxa/A1r9py0u/CUu+AZKEqigkamqIHjpE9MAh4oePEqtuQu4IIpldSGYnktGOZNImnScHvTMLyeIEnRk1rp46XcqpMEjorAZ0VgOY9MRklVAkic8bIxSVSaiQUFQSgKvQQeG0LEpn52LPt486Od4fkUiEqqoqKisrOXr0KJ2dvYtvjRkzhkmTJjF16lTc7rOTtsEXSVDTHuZYR4hj7WGOtYeo7YjQHIjS6o8RiA3uUe/RgMNswGMzkmEz4bEZybSb0vMZNhPZPWW504zdpL+g5fhASSYS/P1rn6OzsZ6pS65gxWe+NCznUeIyzT/biuyL4VhcjOfa8mE5z7mGP+7nYMdB9rfv54j3CFW+Kip9lafMU5xjzUkL9SJHEfm2fLJt2el8xdnWbIzih7hAgKIqhBNhQokQoWQoPR9MBLv7U1M42Xs5mAgOmQTvwiAZ0iK8q/VYesyn+t2mHutMbvH3LBCMBuIhLYo91HZiG+6ab4VQu9YqicGfw+JJifYssGZqrS3juOXM7mVrBugv3BSOAoFAILiwERJ9EFzwEj0RhdUfJ7nzRaKhHGLFHyahlpFsDSIHkqhxCclgR7K4NGmuN536mH2hl9DZDCkZbkxLcZ3VgNRjXmc1pLeTLHoCwSSt9UEajvhoOOylszHU+7BGHcUTMyidlkXFzBzsnnMjsjIUClFbW0ttbS3Hjh2jvr6enn+OOp2O8vJyJk+ezMSJE3E6nSM42r6JxGVaAlGa/THagzEC0ST+aAJ/JIEvksAfTeKPJIglFWJJOR1B3t3KnOwTSJLAqO+OWjcZdJj0XfN6THoddrMeh9mQnuxmAw5L93LXvMdmxGM1YTKIPKzDRf3B/Tzx7W+gqgqrvvYtxs29eFjOE9nXTvvf94EEOZ+cjrlM5ALvC1VV6Yx1UuWrSkv1Gn8N9cF66oP1RJKRUx8E8Jg9vXIa9xRzbrP7BJFnNVjFjSfBiCArMjE5RjgZJpqMEk1GiSQjRGWtjSQjvfojcqR7mx79oWRKhifCBBNBQonQgP9eBoPT6MRpOnFymVy4TK4++7tau9Eu/s4EggsBVdVSxfQn2EOtqf7UunA7qKf5GK/F3Y9kzzhRunctixtzAoFAcF6gJmSUuILefmF+rguJPgguZInu3bSDPz//CjaM2FULNkxYVTNWTNhUE9auCRM6eshHA+gdJvRuCzqHEb3NiGTrKcCN3cLcps1LRt1Jf/BFQwm8LWG8zWHa6oK01QRorQ0Sj5wY7ZxRYKd4gofSi7IpmuDBMMpTOkSjUZqbm2lqaqKhoYHa2tpeRUG7yM7OZuzYsVRUVFBWVjYkqVoEgrPJ2//4K1ueX43N7eHeH/8KR0bmsJyn48lDhLc2o8+0kPeFWegu4AK4p4OqqvhiPupD9TQEG2gINlAXqKMl3EJbpI2WiNYOtrAggFFnxGlyYjfasRvt2Aw2HCYHdoMdm9GGw+jQ+o027EY7VoMVi96C2WDGrO+eLAZLr2Wz3oy+n/RigpFDVVVkVSapJEkqSRJKIj2fVJIk1AQJOUFCSRCTY8TkGHE5TlyOp+djcqzX+oR83LbKcdv2WJ+W5IkIcWVgRZ7PBL2kP/F9bLD3ek/3fO/bjXYcRgcuc28pbjfYxftZIBAMPYoMEW+3YI90QLhDk+uRTq1NL6fWRb2nfz6zC6weLfLdmtFj/hR9Zhf0UxNLIBAIBEOHEpdRggnkQBwlEEf2d00x5K5lXxw1msQyMYPs+6eN9JBHhIF6YWEdLnBaW+oI6iMEiQAnf+zfrDdjtdiw2ew4XE6cLiculxOn04HLbcLpsuFwOLBareh0OlRFRZFV4tEkMW+MeCRJPJIkEkgQ9MYI+WKEvDGCHVG8LRGiwb4fVdQZJLKLHBSM9VA43kPBeDdWx2lGww8z0WiUjo4O2tvbaWtrS4tzr9fb5/Y5OTmUlJRQUlJCRUXFWUvTIhAMFwtvu4fqndtoq6nmhV/8mFu/9QP0hqH/qvFcX0HsqBe5I0rnU4fJvGuSiMocBJIk4bFoKR6mZk3tcxtVVfHGvLRGWmkLt9EaaaU92p4uUtizcGFX8cKEosnSjmgHHdETbxSeKQadAYvegklvwqAzYNQZMegMGCSD1vYxGSVjn/16SY9O0nVPaK0kSVqLlF4nSVJ6fc+pa5uufXr+2wH9FnLsa33PmIa+9uuS1SoqsiKjqAqyqrVdU8/lvtZ1HaO/5b4k+Al9avdyVzsa6bo5YzVYsRi6W4vBgs1gw6K39Oq3GqzpfU4Q4obuZbPeLD5rBALB6EWnT+VHzwImDWwfOamJ9BMEe9dyx3HLKSGPCjG/NlEzuHFKusELeLNLi5Y3O0UEvEAguKBREwpyMJ6W43IwjhJIpNo4cjCRbtWYPODjyuHReV0/mhCR6FzYkejhUIQdv3gYn9lGp8GBNxwhFAqSUKIougSKLo6ii8Ngfi+qoFNM6BQTkmJEpxjRKQZtXk21xy1Lqh4JCbvHjCfPSmaBg5wxDnLGOMkosKPXj3ykgqIoBINBAoEAgUAAv9+fbrvEeTjcf6Egl8tFfn4++fn5lJSUUFxcjNVqPYuvQCA4O3Q01PPP//gS8UiY2des5PKPfGJYzhOr9tH64G6QVVxXl+K6fMywnEcwMFRVJZKM4I15CcQD6bzQfeWM7jlFk9F0VHFUjhJLxnotj1ZJK+gfnaTrdWPDqDNi1psx6U2Y9KbueV33/PHru/bpaz+z3oxJp/VZjVasemsvSW7RW4ToFggEguFEkbU0M12CPeLVRHzEqwn2rvm++oYiPZbBChZXSqwf37r76T9uvWF0BmUJBIILC1VVUWMySiiBEk4ihxKp+QRKKIkSTnT3hTRprkYHLsYBMOjQO4zonSb0LhM6lwm9y4zeZeoxmZEsF249OJHOZRBcyBK9P6KhBIH2KP62CL62CB0tPvw+P6FQkFAkTDQWIZ6MIEvxtGhX9AlU3WkUvkGLirRarVgsFsxmMyaTKd32Na/X6086SZKkfRh1Rful5rsmWZZJJBIkEgmSyWR6PpFIEIvFiEQiJ0zhcJiB/LnY7XaysrLIzMwkLy+P/Px88vLysNlsp/VvIxCcixzZvJE1P/1vAJbc81HmXn/TsJwn+EEj3meOgASZt0/ENjN3WM4jGDm68lz3nKLJKEk1eULEdM8UIv2t64qklhUtqrsrUltVU/P0mFeVXtv01aeqKgrafE+k1N3nnheiEn3MSyfu03O/nn06SXdCBH3P5f7W6XX6XtH2vZZ13dv1jO436oxpEW7UG0+I9k8/BXDcvEEyiDQlAoFAIOifRPREyR71aqL9ZDI+FoBE/wFLg8Zg6S3XzU5tMjnA7ACTHUzOHvOO7vUme6o/td5g0Yo5CQSCC5a0DI8mUcJJ1GgSJdI1ySiRRFqUK6Foxg7EAAAUAUlEQVSUGA9ry8inoWX1EnqHCZ3TqKVadpq0VMt9tJL5wpXjA0VI9EEgJPrpo8gKclIlmZBJxhVkWSYSjRCOBIlEwoQiIRLJGNFoNC2ie0rpSCRCMnnuRBlKkoTD4cDpdOJyudJtRkYGmZmZZGZmYrFYRnqYAsGoYNOap3j30YcAuOqTn+eiZVcNy3k61xwh9H6jJtLvmIRtRs6wnEcgEAgEAoFAMILICU2mR31aGpmov4/W109/qk2Ehn5ckv44+e7oluxp4d412cBoBaNda012MNp6zPdYZ7QKOS8QnCVUWUWNJVFisibDY7ImwqMpMZ4S4mqXGD++L5qE06zrDCCZdFo9QXuqvqBdqz2osxvR2Q3pdXqnJswv5Kjx4UDkRBecFXR6HTo9GM3dUWce7ED2gI+RSCTSQj0ajRKPx4nH48RisfT88cvJZBJZllEUTdwfPymKgiRJvSYgPa/X6zEajb0mg8GA0WjEYrGko+KtVmt6stls2O129HoRYScQDIR5K28mEvCz5fnVvPrHXxEJ+Jm38ub/3969hthx3ncc/z0zcy67WmklW9HKSlRcx3IdqK1IieXGgZKaoJKCSaDkVnBivUjBBIHwqwiMQt4khLyoQxxqSEgJoVAR3BJKGgVq1Da4Bt/aGNNYruUQ0thaW1a09z2XeZ6+mMuZmTNz9qy8u0dH+/3AaJ557jNnWZ3zn+fMbvh/9rsfeL9cx2r5+VldOfuKwsW2pu47wJsKAACAG4lfkyZvirZrFXZ7z3JvLeQD7O3FaGstSu0lqb0Qp+Pj1kImvdgLyLswCt635jbmPLNqk72tLwCfKesLwjejFfJBI3r8TdCIyoJGnB9vST2/TsAeY8VZJ9cJ5dpWrh3KxnvXjoPgq2EaFE8C4261JEielHXeRQQ8yzfyJoLcZppxekdNfiEoHgXLA5kacaZxwEp0sRIdADaLc07//qPv64Wf/kSS9Md/dlz3P/TXqm3wNzacdbr6T69p6blLkqTJI/u0+5Pvl9fkXjEAAAA2gQ3jYPtSHHxfyKQXoyB8EnBPAvSdlSivsxI9nqazLLWX4+OlKB22RnAyphd0HxRsrwrK+zXJb0TB+KAe7bNbaV4jbleP29aiPK8meaP/m2i4di50ct0oMO26Ntpn090k4N3b23aYC4q7ThIcz9dznShP3U0KZQaevKYv0/DlNXyZRj4g7jX9KDA+WUvT2U2Bx2KuMcTjXNaBIDoAbK4XfvoT/duPvi85pz23vFd//vApvfePPrChYzjntPj0G5r7l9clK3k7a9r9F7dp4vB7ZDzeyAAAAGAM2DAOsFcF3JdLyuN9ezlKd1tSdzV6Bn13NT5e6c/XdRoO8oJ8YN2vZwL12WC7Hx17tbhNUJGO92m62HZQP4PaBtHjfDwv3vv9+7K8TQqyOuuk0MZB7Givbu9YoZMLbXVZVcC7Yq/ccSjXiYLn7+axJutmJFPzZeqeTN2XV/eiwHcaCA+ifeHYNDNB8ky58bmBsx0RRF8HgugAsPl+89J/69zf/o0Wr7wjSTp07D79yV9+TvtuvW1Dx2m9Pqff/+P/qnt5RZIU7J3Q1EcPaOLu98jfUdvQsQAAAICx5JwUtntB9s5KdbC9u1pSL5MftqVuO9pntzSvFT3Tvhvvi3kuHPXVUBQZ8yQFcvIl+XIKor1L0l4vT35U1/nlbeRLLpAr7TOQU00yyb4WlZuanKvLmVqUr0DO1eSS+vE8nAvSsZ2Lx3F+PP/rjGdlPCfjWxnf9bYg2ntBnA6cTCCZmovuM9Ti47jMC5xMdMnSzatJ8k1mwZSJb1AU98UyDSgb1G4j+ozLy/ISuZssg8o0oCxK2zBUezV6NHJndVXtVivaVlbVWlmJ9qtRete+GR395F9V938DI4i+DgTRAWBrrCwu6Bd//3d6+fy/yrloicKBOz6gOz/6p7rt6DFN75vZkHFc12rhP/5PC7/4ndxK/MeLPalx67Tqt+5S4w+nVZvZIW9nja/bAQAAYOw456KF5E5RBNi5KBCc5NvCcbbcqr++c3I2fywXr26O2zjnJOt6fSfpbJ20PB6nojwaL8kLpTCUumGU7oaSDeXCON9audBK1mbSrrSv3pyTtHppJ8kaOedJzsg5I1lPTkZyN+IzqTsy6sioG6e7MqYjqZvJj/KMujJqR5uJ9ioc96XXOJY6MmbbhxwHck4KnVHH+epaT13nxfvisaeO9dV1ntrWV9v66hT2ZXmhG/7Gynv3OH3uiZ9u4tlev7ZdEP273/2uvvWtb+nSpUs6fPiwvvOd7+jYsWNDtSWIDgBb6/Jvf6NnnvwHvfbsf8qGvZUnew68T/vff0j7b7tdN73vDzS9b0a79r5HfnBtK8htK9TSc5e0/F9vqfO7xb5yU/cV3NyUP93I/+Xzhi9T86KvBta86OuBgSd58UqHZG+Uy5MX/yHj5L2KMZnFCHH9dJVCLzutVCiLFicQ5AcA3LjSQGCakf7Ty3e9QtdXN04U8zMV821cvl5xXJc/7Os/3ff34wb2X1J/QF+5/GzxMHXjybtMupdfuOY22871unL9+VEQMnstXHmfheBuei375lKYo+21dyVj9Pe3jrkoDqyWnFNfn4X++8YrDVYXzjnO72tjB/VRMkZp/fzriU3mGRnf9O99r/e5oFjumXiFtCQvfqvvScZzmWMXBZg9F9VTvELbc3G9UMbEaWNlPCtjbJxvZUwo44WSor1RXKaOjOlKxkV5zmZ+bmz/pmx+sU5ZG1doU1L+bsdK73gk+1guL7NfR5lzLroX45ysi+7RhE4KQxfvpdA5hdYotMpt1kaPYg+tSdM2qRfnhy5pZxQ9McfEm5emO2naU9eVrETfBL6xqnlWdS9UzbNq+KEaXqi6303Tu285oLsf/edNn8v1aFsF0c+ePasvfOELeuKJJ3Tvvffqscce049//GNduHBB+/btW7M9QXQAGI3F31/Rr35xXq+/+Jx+d+F/5Gz/A/SM8TR1882a2nOTJqd3a3LXdLqf2DWt5o4p1Sd3qLljh+qTk2pOTiloNPqCz53LK2pdvKr2r+fU+u2Cwiur4/PhIxNULwbcTUlgPi3z8se592cmkzD9WblE8X1d9sZAVdVi8L+qj+K8ck3XP36xk/5zGqZtPtF3H6Ns/OvdGE11rK7rIIPeYg/63VNsN6ibvrLh265rDgPa9k/hGs+72HZdc89nDJz+oLZrzm9QWWEOw7Yrtl3XHAa/3uVVXb7AZQpL4hRlZcVgc1p/Hf2Pzf+/wI0ieb8YL+owxmQWeMTvGdNy01vkES8YSdt4iheSZBaQJOW5RSWqLjdxsDlZjJLrS7062TyT6ctTrjw7Xjo3PzMHk2mXBri9XMA7HxxP6ntxwHtr35e45FsF8e9T52x6A8U5G/+ajVfeKwoKp20ye2tDOevkrI3q2FDWRsFqa22Un5bZKM8l+Uk7mymL+kjqJ5vN9JGrX+ijN048LxfVsTaUDUPZsCsbWrkwVBh25cJovrbbzdSJNxvKdsO+fGdDhXG+C8vbJN+Gvh4Zz1Ot0VBQbyio1xXU6lG6ER/X66rVG6pPTKjWnIj2jabqE5OqN5uqTUyo3ojzm81evWbzmhelbRfbKoh+77336p577tHjjz8uSbLW6uDBgzp58qS+8pWvrNmeIDoAjN7q4qLeePVXmn39Nc3++jVdvfSm5mYvqdtpr7svz/ejwPrkDtUnJtM3HcmbEb9eV1BraEI71AgnVAtr8sNAfujLD315zpOxnjxrZJwnY020SZIzkpNMutrIKP2WYpxnxipiCQDA9uXKIvpl/41n8nItBj2qoKQfV/oWwVWPmx2vrzwzdnF+uRvnvXp940dvbqrHMGVl+fkOKi/v1+XL+o776+fPqWx8VzFeyVyUPeO4nVPvOrlsXra2y4zlMovBXa+/ND/p3+bn5yRn4kBnPJ5Lx0v6LfbqCkc2nZtL+o/b2uTGVdxPf7gnk+d6veeOizcFk5XFJXV7+fmbZb0+st8eKfRfNk6cP9Sccn249DANNGeDynLRav+K4HMSeE76dbZ3XdcKXA/VtmIu2bbZ64yt5fmB/FpNfpDZB71jLwgUBLVc2guKbWq5Nkm69zk0DoQ3GqrVG4X86NgPglFfim1r2Ljw2L9C7XZbL7zwgk6fPp3meZ6nj3/843rmmWdK27RaLbVarfR4fn5+0+cJABisOTWl247eo9uO3pPmOee0dPX3mn97VktzV7UyN6fluatamruq5fk5rczPqbW8FG/Lai0tRiscwlCrC/NaXRjt73cTL/tJ10SbkrzkX2MywfdeeW/1SyYvrt+fm6yczrbJhvSLK6uzJeXLrYttezszoO7a463dx6DxqsYs5JlB4xVzCnUrlp9v5u2Rsbv5sgkrszbvCmzVtXXVR2t8MC4N5JX2Wp7TG2bQOAPmt1a/g5YOD1qFvWa/1ziHvmqD5nDt176vJ1ddtp4ZDZzDpp9bEtTKhTALLTI5uZN2A1v1BdqG7LP4b9/cXfFM+ueRD+IN0ScA3KiMked5Mp4nY5J9lCfPy5SZtE6UZ3r1vXy7XF9e3Jcp9uUPP05y7Pv5zfNlfF9+fBylAxnfk+cl9QJ5vtdLe358HPT1ZzxffhDt+8byA/lBwOMzMbSxD6JfvnxZYRhqZib/x+hmZmb0yiuvlLb5xje+oa997WtbMT0AwLtgjNHUnps0teemoeo759RttbS6vKj28rJWl5bUXllWt91St9NRt91S2O5kjtsKu52+rzLK2czXHHtff8w+bqY/xuFK030f2HPV+oMIZd1VBx76Ko7MyL/YNsLxR3rmI77uG/26Xx8/zWvb6p/3/sWnrvImRu7W1AZ+KByqryHqDD2jYfrayA+9GzbecHMaburD9jXMazNMlSGv5w3+szC+P+vDvn5DVNnqn/WhrudmnF9ypz5707+wIKF4Mz9XN99H8br1+ii/yW96z+TL/w2dTO3iONl59c+pcPIV+emjXCrnVDL+gLmudW1M8liYivMo7yOzzGGN61jMN170bBrjxUtJjGSMp+QxNVE62pu4fS/PpNfHyESPeJFJX9/kXIzx0nlF4xXaZve5ufT3k7yWaT+5/q59XgA23tgH0a/F6dOn9cgjj6TH8/PzOnjw4AhnBADYCMYY1ZpN1ZpNabi4OwAAAAAAwEBjH0Tfu3evfN/X7OxsLn92dlb79+8vbdNoNNRoNLZiegAAAAAAAACAMeaNegLvVr1e14c+9CE99dRTaZ61Vk899ZQ+8pGPjHBmAAAAAAAAAIBxN/Yr0SXpkUce0Re/+EV9+MMf1rFjx/TYY49paWlJJ06cGPXUAAAAAAAAAABj7IYIon/2s5/V22+/rTNnzujSpUv64Ac/qHPnzvX9sVEAAAAAAAAAANbDOOfcqCcxavPz85qentbc3Jx27do16ukAAAAAAAAAADbZsHHhsX8mOgAAAAAAAAAAm4UgOgAAAAAAAAAAFQiiAwAAAAAAAABQgSA6AAAAAAAAAAAVCKIDAAAAAAAAAFCBIDoAAAAAAAAAABUIogMAAAAAAAAAUIEgOgAAAAAAAAAAFQiiAwAAAAAAAABQgSA6AAAAAAAAAAAVglFP4HrgnJMkzc/Pj3gmAAAAAAAAAICtkMSDk/hwFYLokhYWFiRJBw8eHPFMAAAAAAAAAABbaWFhQdPT05Xlxq0VZt8GrLV64403tHPnThljRj0dAAAAAAAAAMAmc85pYWFBBw4ckOdVP/mcIDoAAAAAAAAAABX4w6IAAAAAAAAAAFQgiA4AAAAAAAAAQAWC6AAAAAAAAAAAVCCIDgAAAAAAAABABYLoAAAAwA3uoYce0qc+9alRTwMAAAAYS8GoJwAAAADg2hljBpZ/9atf1be//W0557ZoRgAAAMCNhSA6AAAAMMbefPPNNH327FmdOXNGFy5cSPOmpqY0NTU1iqkBAAAANwQe5wIAAACMsf3796fb9PS0jDG5vKmpqb7HuXzsYx/TyZMnderUKe3Zs0czMzP63ve+p6WlJZ04cUI7d+7U7bffrp/97Ge5sV5++WV94hOf0NTUlGZmZvTggw/q8uXLW3zGAAAAwNYiiA4AAABsQz/84Q+1d+9ePfvsszp58qQefvhhffrTn9Z9992nF198UcePH9eDDz6o5eVlSdLVq1d1//3368iRI3r++ed17tw5zc7O6jOf+cyIzwQAAADYXATRAQAAgG3o8OHDevTRR3Xo0CGdPn1azWZTe/fu1Ze+9CUdOnRIZ86c0TvvvKOXXnpJkvT444/ryJEj+vrXv64777xTR44c0Q9+8AOdP39er7766ojPBgAAANg8PBMdAAAA2IbuvvvuNO37vm6++Wbdddddad7MzIwk6a233pIk/fKXv9T58+dLn69+8eJF3XHHHZs8YwAAAGA0CKIDAAAA21CtVssdG2NyecYYSZK1VpK0uLioBx54QN/85jf7+rrllls2caYAAADAaBFEBwAAALCmo0eP6sknn9Stt96qIOBjBAAAALYPnokOAAAAYE1f/vKXdeXKFX3+85/Xc889p4sXL+rnP/+5Tpw4oTAMRz09AAAAYNMQRAcAAACwpgMHDujpp59WGIY6fvy47rrrLp06dUq7d++W5/GxAgAAADcu45xzo54EAAAAAAAAAADXI5aMAAAAAAAAAABQgSA6AAAAAAAAAAAVCKIDAAAAAAAAAFCBIDoAAAAAAAAAABUIogMAAAAAAAAAUIEgOgAAAAAAAAAAFQiiAwAAAAAAAABQgSA6AAAAAAAAAAAVCKIDAAAAAAAAAFCBIDoAAAAAAAAAABUIogMAAAAAAAAAUOH/AetQmCjVuHY0AAAAAElFTkSuQmCC\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "### Visualize root-mean-square error results for each simulator accross all observables" + ], + "metadata": { + "id": "Nb7PFYjlMwwo" + } + }, + { + "cell_type": "code", + "source": [ + "comparison = verification.get_rmse()" + ], + "metadata": { + "id": "FuY5goVJZ_Lq", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 607 + }, + "outputId": "a6a1277e-5496-40c2-a655-c4b29ba3cb11" + }, + "execution_count": 8, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": "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\n" + }, + "metadata": {} + } + ] + } + ] +} \ No newline at end of file diff --git a/demos/verification_colab_demo.ipynb b/demos/verification_colab_demo.ipynb deleted file mode 100644 index da8a92a..0000000 --- a/demos/verification_colab_demo.ipynb +++ /dev/null @@ -1,1611 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "provenance": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "### Install the latest bio-compose from PyPI:" - ], - "metadata": { - "id": "lvDO-IEoq_1W" - } - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "collapsed": true, - "id": "d0XOMDnBRUhk", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "4a2bdc75-410c-4407-d759-19871c3a4678" - }, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "\u001b[?25l \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/219.8 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m219.8/219.8 kB\u001b[0m \u001b[31m16.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", - "\u001b[?25h Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n", - "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m41.6/41.6 kB\u001b[0m \u001b[31m99.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", - "\u001b[?25h Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n", - "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m50.4/50.4 kB\u001b[0m \u001b[31m20.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", - "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m88.4/88.4 kB\u001b[0m \u001b[31m110.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", - "\u001b[?25h Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n", - "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m5.1/5.1 MB\u001b[0m \u001b[31m7.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", - "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.5/4.5 MB\u001b[0m \u001b[31m144.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", - "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m54.5/54.5 kB\u001b[0m \u001b[31m96.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", - "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m294.9/294.9 kB\u001b[0m \u001b[31m143.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", - "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m141.9/141.9 kB\u001b[0m \u001b[31m223.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", - "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.2/1.2 MB\u001b[0m \u001b[31m142.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", - "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m307.7/307.7 kB\u001b[0m \u001b[31m159.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", - "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m48.4/48.4 kB\u001b[0m \u001b[31m70.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", - "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m301.8/301.8 kB\u001b[0m \u001b[31m168.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", - "\u001b[?25h Building wheel for process-bigraph (setup.py) ... \u001b[?25l\u001b[?25hdone\n", - " Building wheel for bigraph-schema (setup.py) ... \u001b[?25l\u001b[?25hdone\n", - " Building wheel for fire (setup.py) ... \u001b[?25l\u001b[?25hdone\n" - ] - } - ], - "source": [ - "!pip install --no-cache-dir -q bio-compose" - ] - }, - { - "cell_type": "markdown", - "source": [ - "### Import the simulation verifier:" - ], - "metadata": { - "id": "vtZjruWPttMa" - } - }, - { - "cell_type": "code", - "source": [ - "import os\n", - "from pprint import pp\n", - "\n", - "from google.colab import files\n", - "\n", - "from bio_compose import __version__\n", - "from bio_compose.verifier import Verifier\n", - "\n", - "\n", - "f'Current version of bio-compose: {__version__}'" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 35 - }, - "id": "uCWTFktnRZNr", - "outputId": "a875624d-e0ad-44be-da96-03eb6210fe0f" - }, - "execution_count": 4, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "'Current version of bio-compose: 0.4.0'" - ], - "application/vnd.google.colaboratory.intrinsic+json": { - "type": "string" - } - }, - "metadata": {}, - "execution_count": 4 - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "### Instantiate a new ``Verifier``:" - ], - "metadata": { - "id": "p5NawzbzT1lE" - } - }, - { - "cell_type": "code", - "source": [ - "verifier = Verifier()" - ], - "metadata": { - "id": "w8e0fstkUQUa" - }, - "execution_count": 5, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Upload an entrypoint file to this Colab session:" - ], - "metadata": { - "id": "9e17BPGat7zH" - } - }, - { - "cell_type": "code", - "source": [ - "print('Please upload SBML file for verification:')\n", - "files.upload()\n", - "\n", - "print('Please optionally upload an expected-results results.h5 file:')\n", - "files.upload()\n", - "\n", - "print(f'Current Colab session files: {os.listdir(\"/content\")}')" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 146 - }, - "id": "fmD8_9DNTyTh", - "outputId": "373a769a-fd37-46a6-a052-400a81961aa4" - }, - "execution_count": 6, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Please upload SBML file for verification:\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "" - ], - "text/html": [ - "\n", - " \n", - " \n", - " Upload widget is only available when the cell has been executed in the\n", - " current browser session. Please rerun this cell to enable.\n", - " \n", - " " - ] - }, - "metadata": {} - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Saving BIOMD0000000001_url.xml to BIOMD0000000001_url.xml\n", - "Please optionally upload an expected-results results.h5 file:\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "" - ], - "text/html": [ - "\n", - " \n", - " \n", - " Upload widget is only available when the cell has been executed in the\n", - " current browser session. Please rerun this cell to enable.\n", - " \n", - " " - ] - }, - "metadata": {} - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Current Colab session files: ['.config', 'BIOMD0000000001_url.xml', 'sample_data']\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "### Define sbml verification submission (query) parameters (Uniform Time Course) for BioModel 0001:" - ], - "metadata": { - "id": "Uvdow70guPqe" - } - }, - { - "cell_type": "code", - "source": [ - "# model io parameters\n", - "sbml_filepath = '/content/BIOMD0000000001_url.xml'\n", - "\n", - "# \"time\" parameters\n", - "start_time = 0 # 'start'\n", - "end_time = 100 # 'end'\n", - "n_steps = 1000 # 'steps'\n", - "\n", - "# comparison parameters\n", - "rtol = None # if this parameter is omitted from the submission, its default value is 1e-4\n", - "atol = 1e-08 # here we are using the defaults used by np.allclose as an example of custom tolerances. Otherwise, max(1e-3, max1 * 1e-5, max2 * 1e-5) where max1 is the max() of the given piecewise arrays." - ], - "metadata": { - "id": "vUiU2q-kUBb2" - }, - "execution_count": 8, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### (Optional): Get compatible simulators for the given model:" - ], - "metadata": { - "id": "Jm4BvjHZU9Zq" - } - }, - { - "cell_type": "code", - "source": [ - "simulators = verifier.get_compatible(file=sbml_filepath, versions=False)\n", - "simulators.sort()\n", - "\n", - "simulators" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "UqWDBXLFHQxi", - "outputId": "4d2639cc-a11c-4cfb-bd7b-ec4dacc81e45" - }, - "execution_count": 9, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "['amici', 'copasi', 'tellurium']" - ] - }, - "metadata": {}, - "execution_count": 9 - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "### Use the Verifier instance to submit a new simulation verification to the server using aforementioned query parameters:" - ], - "metadata": { - "id": "y1SZlf2YVKfq" - } - }, - { - "cell_type": "code", - "source": [ - "submission = verifier.verify_sbml(\n", - " entrypoint=sbml_filepath,\n", - " start=start_time,\n", - " end=end_time,\n", - " steps=n_steps,\n", - " simulators=simulators,\n", - " rTol=rtol,\n", - " aTol=atol,\n", - " # selection_list=[''] <-- optionally you can include specific observables in the verification, otherwise include all matching observables.\n", - ")" - ], - "metadata": { - "id": "hgTQjDlJHaTM" - }, - "execution_count": 10, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# the verification's status/data can be fetched using the 'job_id' field from the output of the previous cell (submission):\n", - "\n", - "job_id = submission['job_id']\n", - "# job_id = 'verification-bio_check-request-b55e621c-07ee-4d25-9f1c-00f048abeadc-9642f155-dfbf-4cbe-89d8-b15c7d6993d8'\n", - "\n", - "submission" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "OlvpXsrdHrSM", - "outputId": "29ad8de8-27b0-4164-e5be-310543aa7669" - }, - "execution_count": 31, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "{'job_id': 'verification-bio_check-request-b55e621c-07ee-4d25-9f1c-00f048abeadc-9642f155-dfbf-4cbe-89d8-b15c7d6993d8',\n", - " 'status': 'PENDING',\n", - " 'timestamp': '2024-08-29 20:03:40.327802',\n", - " 'comparison_id': 'bio_check-request-b55e621c-07ee-4d25-9f1c-00f048abeadc',\n", - " 'path': 'file_uploads/verification-bio_check-request-b55e621c-07ee-4d25-9f1c-00f048abeadc-9642f155-dfbf-4cbe-89d8-b15c7d6993d8/BIOMD0000000001_url.xml',\n", - " 'start': 0,\n", - " 'end': 100,\n", - " 'steps': 1000,\n", - " 'simulators': ['amici', 'copasi', 'tellurium'],\n", - " 'expected_results': None,\n", - " 'include_output': True,\n", - " 'rTol': None,\n", - " 'aTol': 1e-08,\n", - " 'selection_list': None}" - ] - }, - "metadata": {}, - "execution_count": 31 - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "### Use the get_output method of Verifier to poll the API for results:" - ], - "metadata": { - "id": "Iz14Qy-dvZd0" - } - }, - { - "cell_type": "code", - "source": [ - "verification_result = verifier.get_output(job_id)\n", - "\n", - "verification_result['content']['results'].keys()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "collapsed": true, - "id": "NUAj9r57VIDd", - "outputId": "b28bdc88-70dd-4261-f480-0a1c1c1d1338" - }, - "execution_count": 13, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "dict_keys(['results', 'rmse'])" - ] - }, - "metadata": {}, - "execution_count": 13 - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "### Showing a sample output observable proximity comparison:" - ], - "metadata": { - "id": "eGpmgqDG6eRx" - } - }, - { - "cell_type": "code", - "source": [ - "sample_observable = 'BasalACh2'\n", - "sample_verification_result = verification_result['content']['results']['results'][sample_observable]\n", - "sample_proximity_matrix = sample_verification_result['proximity']\n", - "\n", - "sample_proximity_matrix" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "collapsed": true, - "id": "oAMQQ22_HvJu", - "outputId": "0f888134-b74b-4c2d-bdf0-a080b3b2d33d" - }, - "execution_count": 14, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "{'amici': {'amici': True, 'copasi': True, 'tellurium': False},\n", - " 'copasi': {'amici': True, 'copasi': True, 'tellurium': False},\n", - " 'tellurium': {'amici': False, 'copasi': False, 'tellurium': True}}" - ] - }, - "metadata": {}, - "execution_count": 14 - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "### Use the verifier's export_csv method to export the ouput data on which the verification is calculated (from each simulator):" - ], - "metadata": { - "id": "1AmE2kmzwABR" - } - }, - { - "cell_type": "code", - "source": [ - "output_dir = os.path.dirname(sbml_filepath)\n", - "model_name = verification_result['content']['source'].replace('xml', 'csv')\n", - "csv_name = os.path.join(output_dir, model_name)\n", - "\n", - "verifier.export_csv(data=verification_result, save_dest=csv_name, simulators=simulators)" - ], - "metadata": { - "id": "Fzaib0pdVccJ" - }, - "execution_count": 17, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### CSV is saved to the specified destination:" - ], - "metadata": { - "id": "V0GXSmuqwNl-" - } - }, - { - "cell_type": "code", - "source": [ - "!ls /content | grep csv" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "collapsed": true, - "id": "NUotWVZuV1uf", - "outputId": "757421f5-023e-4d0c-fba7-0e3d0cf618ff" - }, - "execution_count": 20, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "BIOMD0000000001_url.csv\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "### ``Verifier`` also allows the reading of previously generated observables:" - ], - "metadata": { - "id": "LZvN_PTfwS5v" - } - }, - { - "cell_type": "code", - "source": [ - "observables_df = verifier.read_observables(csv_name)\n", - "\n", - "observables_df" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 443 - }, - "id": "mUGUVX05V5Eb", - "outputId": "b2447e7d-0e69-4e98-f267-e7f7272f61b5" - }, - "execution_count": 22, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - " BasalACh2_amici BasalACh2_copasi BasalACh2_tellurium \\\n", - "0 0.000000e+00 0.000000e+00 0.000000e+00 \n", - "1 7.691286e-08 7.691288e-08 3.259123e-06 \n", - "2 3.521841e-08 3.521850e-08 1.497125e-06 \n", - "3 2.129838e-08 2.129845e-08 9.088576e-07 \n", - "4 1.662165e-08 1.662170e-08 7.111883e-07 \n", - "... ... ... ... \n", - "996 3.843876e-248 -7.744273e-27 -5.707273e-40 \n", - "997 2.040896e-248 -7.282924e-27 -5.598485e-40 \n", - "998 1.043402e-248 -6.813887e-27 -5.486482e-40 \n", - "999 5.124101e-249 -6.337120e-27 -5.371243e-40 \n", - "1000 2.480845e-249 -5.852582e-27 -5.252746e-40 \n", - "\n", - " IntermediateACh_amici IntermediateACh_copasi \\\n", - "0 0.000000e+00 0.000000e+00 \n", - "1 1.007080e-05 1.007080e-05 \n", - "2 1.349345e-05 1.349344e-05 \n", - "3 1.458558e-05 1.458558e-05 \n", - "4 1.490237e-05 1.490237e-05 \n", - "... ... ... \n", - "996 8.501641e-244 -1.707869e-22 \n", - "997 4.513241e-244 -1.606126e-22 \n", - "998 2.307369e-244 -1.502688e-22 \n", - "999 1.133295e-244 -1.397545e-22 \n", - "1000 5.487905e-245 -1.290688e-22 \n", - "\n", - " IntermediateACh_tellurium ActiveACh_amici ActiveACh_copasi \\\n", - "0 0.000000e+00 0.000000e+00 0.000000e+00 \n", - "1 3.259123e-06 3.259133e-06 3.259134e-06 \n", - "2 1.497125e-06 1.497137e-06 1.497141e-06 \n", - "3 9.088576e-07 9.088536e-07 9.088565e-07 \n", - "4 7.111883e-07 7.111799e-07 7.111819e-07 \n", - "... ... ... ... \n", - "996 -5.707273e-40 2.525536e-246 -5.088121e-25 \n", - "997 -5.598485e-40 1.340925e-246 -4.785007e-25 \n", - "998 -5.486482e-40 6.855444e-247 -4.476842e-25 \n", - "999 -5.371243e-40 3.366680e-247 -4.163598e-25 \n", - "1000 -5.252746e-40 1.629987e-247 -3.845248e-25 \n", - "\n", - " ActiveACh_tellurium Active_amici ... IntermediateACh2_tellurium \\\n", - "0 0.000000e+00 0.000000e+00 ... 0.000000e+00 \n", - "1 3.259123e-06 3.259133e-06 ... 3.259123e-06 \n", - "2 1.497125e-06 1.497137e-06 ... 1.497125e-06 \n", - "3 9.088576e-07 9.088536e-07 ... 9.088576e-07 \n", - "4 7.111883e-07 7.111799e-07 ... 7.111883e-07 \n", - "... ... ... ... ... \n", - "996 -5.707273e-40 2.525536e-246 ... -5.707273e-40 \n", - "997 -5.598485e-40 1.340925e-246 ... -5.598485e-40 \n", - "998 -5.486482e-40 6.855444e-247 ... -5.486482e-40 \n", - "999 -5.371243e-40 3.366680e-247 ... -5.371243e-40 \n", - "1000 -5.252746e-40 1.629987e-247 ... -5.252746e-40 \n", - "\n", - " DesensitisedACh_amici DesensitisedACh_copasi \\\n", - "0 0.000000e+00 0.000000e+00 \n", - "1 1.549006e-10 1.549006e-10 \n", - "2 4.774251e-10 4.774253e-10 \n", - "3 8.545181e-10 8.545182e-10 \n", - "4 1.248491e-09 1.248491e-09 \n", - "... ... ... \n", - "996 2.859949e-141 -2.940607e-16 \n", - "997 1.935094e-141 -2.792534e-16 \n", - "998 1.309320e-141 -2.641974e-16 \n", - "999 8.859100e-142 -2.488913e-16 \n", - "1000 5.994229e-142 -2.333337e-16 \n", - "\n", - " DesensitisedACh_tellurium Intermediate_amici Intermediate_copasi \\\n", - "0 0.000000e+00 0.000000e+00 0.000000e+00 \n", - "1 3.259123e-06 7.246026e-11 7.246025e-11 \n", - "2 1.497125e-06 9.623627e-11 9.623621e-11 \n", - "3 9.088576e-07 1.038153e-10 1.038152e-10 \n", - "4 7.111883e-07 1.060057e-10 1.060056e-10 \n", - "... ... ... ... \n", - "996 -5.707273e-40 4.838494e-09 4.838492e-09 \n", - "997 -5.598485e-40 4.838432e-09 4.838431e-09 \n", - "998 -5.486482e-40 4.838371e-09 4.838370e-09 \n", - "999 -5.371243e-40 4.838309e-09 4.838308e-09 \n", - "1000 -5.252746e-40 4.838248e-09 4.838247e-09 \n", - "\n", - " Intermediate_tellurium ActiveACh2_amici ActiveACh2_copasi \\\n", - "0 0.000000e+00 0.000000e+00 0.000000e+00 \n", - "1 3.259123e-06 3.259133e-06 3.259134e-06 \n", - "2 1.497125e-06 1.497137e-06 1.497141e-06 \n", - "3 9.088576e-07 9.088536e-07 9.088565e-07 \n", - "4 7.111883e-07 7.111799e-07 7.111819e-07 \n", - "... ... ... ... \n", - "996 -5.707273e-40 2.525536e-246 -5.088121e-25 \n", - "997 -5.598485e-40 1.340925e-246 -4.785007e-25 \n", - "998 -5.486482e-40 6.855444e-247 -4.476842e-25 \n", - "999 -5.371243e-40 3.366680e-247 -4.163598e-25 \n", - "1000 -5.252746e-40 1.629987e-247 -3.845248e-25 \n", - "\n", - " ActiveACh2_tellurium \n", - "0 0.000000e+00 \n", - "1 3.259123e-06 \n", - "2 1.497125e-06 \n", - "3 9.088576e-07 \n", - "4 7.111883e-07 \n", - "... ... \n", - "996 -5.707273e-40 \n", - "997 -5.598485e-40 \n", - "998 -5.486482e-40 \n", - "999 -5.371243e-40 \n", - "1000 -5.252746e-40 \n", - "\n", - "[1001 rows x 36 columns]" - ], - "text/html": [ - "\n", - "
\n", - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
BasalACh2_amiciBasalACh2_copasiBasalACh2_telluriumIntermediateACh_amiciIntermediateACh_copasiIntermediateACh_telluriumActiveACh_amiciActiveACh_copasiActiveACh_telluriumActive_amici...IntermediateACh2_telluriumDesensitisedACh_amiciDesensitisedACh_copasiDesensitisedACh_telluriumIntermediate_amiciIntermediate_copasiIntermediate_telluriumActiveACh2_amiciActiveACh2_copasiActiveACh2_tellurium
00.000000e+000.000000e+000.000000e+000.000000e+000.000000e+000.000000e+000.000000e+000.000000e+000.000000e+000.000000e+00...0.000000e+000.000000e+000.000000e+000.000000e+000.000000e+000.000000e+000.000000e+000.000000e+000.000000e+000.000000e+00
17.691286e-087.691288e-083.259123e-061.007080e-051.007080e-053.259123e-063.259133e-063.259134e-063.259123e-063.259133e-06...3.259123e-061.549006e-101.549006e-103.259123e-067.246026e-117.246025e-113.259123e-063.259133e-063.259134e-063.259123e-06
23.521841e-083.521850e-081.497125e-061.349345e-051.349344e-051.497125e-061.497137e-061.497141e-061.497125e-061.497137e-06...1.497125e-064.774251e-104.774253e-101.497125e-069.623627e-119.623621e-111.497125e-061.497137e-061.497141e-061.497125e-06
32.129838e-082.129845e-089.088576e-071.458558e-051.458558e-059.088576e-079.088536e-079.088565e-079.088576e-079.088536e-07...9.088576e-078.545181e-108.545182e-109.088576e-071.038153e-101.038152e-109.088576e-079.088536e-079.088565e-079.088576e-07
41.662165e-081.662170e-087.111883e-071.490237e-051.490237e-057.111883e-077.111799e-077.111819e-077.111883e-077.111799e-07...7.111883e-071.248491e-091.248491e-097.111883e-071.060057e-101.060056e-107.111883e-077.111799e-077.111819e-077.111883e-07
..................................................................
9963.843876e-248-7.744273e-27-5.707273e-408.501641e-244-1.707869e-22-5.707273e-402.525536e-246-5.088121e-25-5.707273e-402.525536e-246...-5.707273e-402.859949e-141-2.940607e-16-5.707273e-404.838494e-094.838492e-09-5.707273e-402.525536e-246-5.088121e-25-5.707273e-40
9972.040896e-248-7.282924e-27-5.598485e-404.513241e-244-1.606126e-22-5.598485e-401.340925e-246-4.785007e-25-5.598485e-401.340925e-246...-5.598485e-401.935094e-141-2.792534e-16-5.598485e-404.838432e-094.838431e-09-5.598485e-401.340925e-246-4.785007e-25-5.598485e-40
9981.043402e-248-6.813887e-27-5.486482e-402.307369e-244-1.502688e-22-5.486482e-406.855444e-247-4.476842e-25-5.486482e-406.855444e-247...-5.486482e-401.309320e-141-2.641974e-16-5.486482e-404.838371e-094.838370e-09-5.486482e-406.855444e-247-4.476842e-25-5.486482e-40
9995.124101e-249-6.337120e-27-5.371243e-401.133295e-244-1.397545e-22-5.371243e-403.366680e-247-4.163598e-25-5.371243e-403.366680e-247...-5.371243e-408.859100e-142-2.488913e-16-5.371243e-404.838309e-094.838308e-09-5.371243e-403.366680e-247-4.163598e-25-5.371243e-40
10002.480845e-249-5.852582e-27-5.252746e-405.487905e-245-1.290688e-22-5.252746e-401.629987e-247-3.845248e-25-5.252746e-401.629987e-247...-5.252746e-405.994229e-142-2.333337e-16-5.252746e-404.838248e-094.838247e-09-5.252746e-401.629987e-247-3.845248e-25-5.252746e-40
\n", - "

1001 rows × 36 columns

\n", - "
\n", - "
\n", - "\n", - "
\n", - " \n", - "\n", - " \n", - "\n", - " \n", - "
\n", - "\n", - "\n", - "
\n", - " \n", - "\n", - "\n", - "\n", - " \n", - "
\n", - "\n", - "
\n", - " \n", - " \n", - " \n", - "
\n", - "\n", - "
\n", - "
\n" - ], - "application/vnd.google.colaboratory.intrinsic+json": { - "type": "dataframe", - "variable_name": "observables_df" - } - }, - "metadata": {}, - "execution_count": 22 - } - ] - }, - { - "cell_type": "code", - "source": [ - "# visualize multiple aspects of the verification result including: observables data, mean square error for each observable (for each simulator)...\n", - " # ...or in this case, RMSE results for each simulator accross all observables\n", - "\n", - "plot = verifier.visualize_rmse(verification_result)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 472 - }, - "id": "FuY5goVJZ_Lq", - "outputId": "e44f7846-2ce4-4cbf-9af0-922954d3c3c4" - }, - "execution_count": 24, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": "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\n" - }, - "metadata": {} - } - ] - } - ] -} \ No newline at end of file diff --git a/demos/verification_demo.ipynb b/demos/verification_demo.ipynb deleted file mode 100644 index 503274b..0000000 --- a/demos/verification_demo.ipynb +++ /dev/null @@ -1,1204 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "id": "2e8d2c971f17edd0", - "metadata": {}, - "outputs": [], - "source": [ - "# Install the latest bio-compose from PyPI:\n", - "\n", - "# !pip install -q bio-compose" - ] - }, - { - "cell_type": "code", - "id": "521a4803-6062-4433-aab6-24c695760a1c", - "metadata": { - "ExecuteTime": { - "end_time": "2024-09-01T02:34:00.390921Z", - "start_time": "2024-09-01T02:33:59.857120Z" - } - }, - "source": [ - "# Import the simulation verifier:\n", - "\n", - "import sys \n", - "import os \n", - "sys.path.insert(0, '..')\n", - "\n", - "from bio_compose.verifier import Verifier" - ], - "outputs": [], - "execution_count": 1 - }, - { - "cell_type": "code", - "id": "initial_id", - "metadata": { - "ExecuteTime": { - "end_time": "2024-09-01T02:34:01.252442Z", - "start_time": "2024-09-01T02:34:01.249950Z" - } - }, - "source": [ - "# Define sbml verification submission (query) parameters (Uniform Time Course) for BioModel 0001:\n", - "\n", - "# model parameters\n", - "sbml_fp = '../tests/fixtures/sbml-core/BIOMD0000000001_url.xml'\n", - "simulators = ['amici', 'copasi', 'tellurium']\n", - "\n", - "# \"time\" parameters\n", - "start_time = 0 # 'start'\n", - "end_time = 100 # 'end'\n", - "n_steps = 1000 # 'steps'\n", - "\n", - "# comparison parameters \n", - "rtol = None # if this parameter is omitted from the submission, its default value is 1e-4\n", - "atol = 1e-08 # here we are using the defaults used by np.allclose as an example of custom tolerances. Otherwise, max(1e-3, max1 * 1e-5, max2 * 1e-5) where max1 is the max() of the given piecewise arrays." - ], - "outputs": [], - "execution_count": 2 - }, - { - "cell_type": "code", - "id": "9c7692d52d31991e", - "metadata": { - "ExecuteTime": { - "end_time": "2024-09-01T02:34:10.353279Z", - "start_time": "2024-09-01T02:34:10.062063Z" - } - }, - "source": [ - "# instantiate a new Verifier:\n", - "\n", - "verifier = Verifier()" - ], - "outputs": [], - "execution_count": 4 - }, - { - "cell_type": "code", - "execution_count": null, - "id": "9eb130d3-40fb-4a96-9c4e-131f3f1f0762", - "metadata": {}, - "outputs": [], - "source": [ - "# use the Verifier instance to submit a new simulation verification to the server using aforementioned query parameters:\n", - "\n", - "submission = verifier.verify_sbml(\n", - " entrypoint=sbml_fp,\n", - " start=start_time,\n", - " end=end_time,\n", - " steps=n_steps,\n", - " simulators=simulators,\n", - " rTol=rtol,\n", - " aTol=atol,\n", - " # selection_list=[''] <-- optionally you can include specific observables in the verification, otherwise include all matching observables.\n", - ")" - ] - }, - { - "cell_type": "code", - "id": "415e5c80-d092-4bb3-82ce-5d460441b706", - "metadata": { - "ExecuteTime": { - "end_time": "2024-09-01T02:34:14.924170Z", - "start_time": "2024-09-01T02:34:14.117603Z" - } - }, - "source": [ - "# the verification's status/data can be fetched using the 'job_id' field from the output of the previous cell (submission):\n", - "\n", - "# job_id = submission['job_id']\n", - "job_id = 'verification-utc_comparison_omex-fa825fe6-80b1-46c3-8352-86d8cb09b098'\n", - "\n", - "\n", - "verifier.get_job_status(job_id)\n", - "# submission" - ], - "outputs": [ - { - "data": { - "text/plain": [ - "'COMPLETED'" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "execution_count": 5 - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2024-09-01T02:35:48.502813Z", - "start_time": "2024-09-01T02:35:47.715629Z" - } - }, - "cell_type": "code", - "source": "verifier.visualize_rmse(job_id)", - "id": "32d0bd64fb221afc", - "outputs": [ - { - "data": { - "text/plain": [ - "
" - ], - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAvEAAAJOCAYAAAA+pFhBAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8hTgPZAAAACXBIWXMAAA9hAAAPYQGoP6dpAABaE0lEQVR4nO3deVxU9f7H8fcMCIjIIiCoKbhgbii54b6SuKSZlVspmtmqqZSZ5Vrei0ualZbZTSt/evWaXa/XFFMyc+Fq7plLZrlkgAuiicp6fn/4YHJkUEAMj76ej8c8ar7zPWc+Z+YwvvnyPd+xGIZhCAAAAIBpWIu7AAAAAAAFQ4gHAAAATIYQDwAAAJgMIR4AAAAwGUI8AAAAYDKEeAAAAMBkCPEAAACAyRDiAQAAAJMhxAMAAAAmQ4iHneDgYA0YMOC2PkebNm3Upk2b2/ocAHAnGjBggIKDg4vlub/99ltZLBZ9++23xfL8AIoWId7kPv30U1ksFtvNzc1N1atX15AhQ5SUlFTc5d0xgoOD7V6nUqVKqXHjxvr8889v+3N/8MEH+vTTT/PdP6fGp59+2uHjb7zxhq3PmTNniqjK22PTpk3q1KmTKlSoIDc3N1WqVEldu3bVokWLiru02+76c+7aW8eOHYu7PIeOHj2aq1ZPT0+FhYVp1qxZysrKKtR+V61apQkTJhRtsXeY06dPa9iwYapRo4ZKliypsmXLqnHjxho1apQuXrxY3OXdsnvhPQTMxmIYhlHcRaDwPv30Uw0cOFBvvvmmKleurCtXrmjTpk1asGCBgoKCtG/fPrm7u+d7f2lpabJarSpRosRtqzk9PV2S5OLictue43rBwcHy8fHRyy+/LElKSEjQP/7xD/3000+aO3euBg8efNueu06dOvLz88v36FfOL2Nubm5KSkrK9TpVqVJFCQkJunLlik6fPi0/P7/bUPWtW7p0qXr16qWwsDD17t1bPj4++vXXX/Xdd9+pRIkSWr9+fXGXeFtdf85dq3z58mrXrl0xVHVjR48eVeXKldWnTx917txZknT+/HmtWrVKq1at0iuvvKJp06YVeL9DhgzR7Nmzdbf+c5OcnKwHHnhAFy5c0FNPPaUaNWro7Nmz2rt3r1auXKm9e/faRt8zMjKUnZ0tV1fXv7zOb7/9Vm3bttX69esL/NfQu/09BMzIubgLQNHo1KmTGjZsKEl6+umn5evrqxkzZug///mP+vTpk+/95OcfltTUVJUqVarQtf6V4f1aFSpU0JNPPmm7P2DAAFWpUkXvvPPObQ3xhdGxY0etWLFCq1ev1sMPP2xr37Jli3799Vc9+uijWrZsWTFWeHMTJkxQrVq19L///S/Xe37q1KliqurmsrOzlZ6eLjc3t1ve1/XnXH7l9TNWFLXl5+e3fv36dnW/8MILCg8P16JFiwoV4u92n3zyiY4fP67NmzerWbNmdo9duHDB7vy/nQMkZlOUP2vAvYjpNHepnFG+X3/9VZL09ttvq1mzZvL19VXJkiXVoEEDffHFF7m2u35OfM50nQ0bNuiFF15Q2bJldd9992nv3r2yWCxasWKFre+OHTtksVhUv359u3126tRJ4eHhtvuO5sS///77ql27ttzd3eXj46OGDRvmmnJx8uRJPfXUUwoICJCrq6tq166tefPmFer1kSR/f3/VqFFDR44csWtPTU3Vyy+/rIoVK8rV1VX333+/3n777VwjUJmZmXrrrbdUtWpVubq6Kjg4WK+//rrS0tJsfYKDg/Xjjz9qw4YNtukJ+RkBq1Chglq1apXrNVi4cKFCQ0NVp04dh9tt3bpVHTt2lJeXl9zd3dW6dWtt3rzZrs+xY8f0wgsv6P7771fJkiXl6+urxx9/XEePHrXrl/Peb968WdHR0fL391epUqX0yCOP6PTp0zc9hiNHjqhRo0YOf2krW7as3f2UlBQNGDBAXl5e8vb2VlRUlHbv3i2LxWI3FSmv6ykczTPO7zlvsVg0ZMgQLVy4ULVr15arq6tiY2MlFf0558iAAQPk4eGhI0eOqHPnzipdurSeeOKJm9a2a9cuderUSZ6envLw8FD79u31v//9z27fef38FpTFYlFAQICcnXOP+6xevVotW7ZUqVKlVLp0aXXp0kU//vij3fHNnj3btp+cm3T1l4UePXrY7S80NFQWi0V79+61tS1ZskQWi0UHDhywteX3vUlLS9P48eNVrVo1ubq6qmLFinr11Vftfk5zahsyZIiWL1+uOnXq2PaZ83rfyJEjR+Tk5KQmTZrkeszT09MupF5/ruZMYXr77bc1e/ZsValSRe7u7urQoYNOnDghwzD01ltv6b777lPJkiX18MMPKzk5OVftjqa65Ocap40bN+rxxx9XpUqVbK/PiBEjdPnyZbua83oPpfx/Zt7ofF68eLEaNGig0qVLy9PTU6GhoXr33XdvWDtwr2Mk/i6VE0x9fX0lSe+++666deumJ554Qunp6Vq8eLEef/xxrVy5Ul26dLnp/l544QX5+/tr3LhxSk1NVZ06deTt7a3vvvtO3bp1k3T1HwOr1ao9e/bowoUL8vT0VHZ2trZs2aJnnnkmz31//PHHeumll/TYY49p2LBhunLlivbu3autW7eqb9++kqSkpCQ1adLE9o+Av7+/Vq9erUGDBunChQsaPnx4gV+jzMxM/fbbb/Lx8bG1GYahbt26af369Ro0aJDCwsK0Zs0ajRw5UidPntQ777xj6/v000/rs88+02OPPaaXX35ZW7duVUxMjA4cOKB///vfkqSZM2dq6NCh8vDw0BtvvCFJCggIyFd9ffv21bBhw3Tx4kV5eHgoMzNTS5cuVXR0tK5cuZKr/zfffKNOnTqpQYMGGj9+vKxWq+bPn6927dpp48aNaty4sSTp+++/15YtW9S7d2/dd999Onr0qD788EO1adNG+/fvzzX9aujQofLx8dH48eN19OhRzZw5U0OGDNGSJUtuWH9QUJDi4uL022+/3TA4Goahhx9+WJs2bdJzzz2nmjVr6t///reioqLy9TrlpSDn/DfffKN//etfGjJkiPz8/BQcHFwk51xGRobD6xZKlSqlkiVL2u5nZmYqMjJSLVq00Ntvv233Hjiq7ccff1TLli3l6empV199VSVKlNBHH32kNm3aaMOGDXa/NEu5f35v5tKlS7a6L1y4oNWrVys2NlajR4+267dgwQJFRUUpMjJSU6ZM0aVLl/Thhx+qRYsW2rVrl4KDg/Xss8/q999/19q1a7VgwQK77Vu2bKl//vOftvvJycn68ccfZbVatXHjRtWtW1fS1c8Wf39/1axZU1L+Pw+ys7PVrVs3bdq0Sc8884xq1qypH374Qe+8845++uknLV++3K6eTZs26csvv9QLL7yg0qVL67333tOjjz6q48eP2z5LHQkKClJWVpbt9SiMhQsXKj09XUOHDlVycrKmTp2qnj17ql27dvr22281atQo/fzzz3r//ff1yiuvFNkvk0uXLtWlS5f0/PPPy9fXV9u2bdP777+v3377TUuXLpWkG76HBfnMlByfz2vXrlWfPn3Uvn17TZkyRZJ04MABbd68WcOGDSuS4wTuSgZMbf78+YYkY926dcbp06eNEydOGIsXLzZ8fX2NkiVLGr/99pthGIZx6dIlu+3S09ONOnXqGO3atbNrDwoKMqKionLtv0WLFkZmZqZd3y5duhiNGze23e/Ro4fRo0cPw8nJyVi9erVhGIaxc+dOQ5Lxn//8x9avdevWRuvWrW33H374YaN27do3PM5BgwYZ5cqVM86cOWPX3rt3b8PLyyvX8V0vKCjI6NChg3H69Gnj9OnTxg8//GD069fPkGS8+OKLtn7Lly83JBmTJk2y2/6xxx4zLBaL8fPPPxuGYRi7d+82JBlPP/20Xb9XXnnFkGR88803trbatWvbHe/N5NSUnJxsuLi4GAsWLDAMwzC++uorw2KxGEePHjXGjx9vSDJOnz5tGIZhZGdnGyEhIUZkZKSRnZ1t29elS5eMypUrGw8++KBd2/Xi4+MNScbnn39ua8t57yMiIuz2OWLECMPJyclISUm54XF88sknhiTDxcXFaNu2rTF27Fhj48aNRlZWll2/nNd86tSptrbMzEyjZcuWhiRj/vz5tvbrz50cUVFRRlBQkF1bfs95SYbVajV+/PFHu/aiOOckObzFxMTY1S7JeO2113LtI6/aunfvbri4uBhHjhyxtf3+++9G6dKljVatWtnabvTz68ivv/6aZ83PP/+83Xnwxx9/GN7e3sbgwYPt9pGYmGh4eXnZtb/44ouGo39uli5dakgy9u/fbxiGYaxYscJwdXU1unXrZvTq1cvWr27dusYjjzxiu5/f92bBggWG1Wo1Nm7caNdvzpw5hiRj8+bNtracczXnZ9wwDGPPnj2GJOP999+/4euWmJho+Pv7G5KMGjVqGM8995yxaNEihz8j15+rOa+5v7+/Xf/Ro0cbkox69eoZGRkZtvY+ffoYLi4uxpUrV+xqHz9+fK7nuv7zfP369YYkY/369bY2R+dxTEyMYbFYjGPHjtna8noP8/uZmVOno/N52LBhhqenZ77OUQB/YjrNXSIiIkL+/v6qWLGievfuLQ8PD/373/9WhQoVJMlu1O/cuXM6f/68WrZsqZ07d+Zr/4MHD5aTk5NdW872OSN7mzZtUufOnRUWFqaNGzdKujqCZrFY1KJFizz37e3trd9++03ff/+9w8cNw9CyZcvUtWtXGYahM2fO2G6RkZE6f/58vo7j66+/lr+/v/z9/RUaGqoFCxZo4MCBdnN8V61aJScnJ7300kt227788ssyDEOrV6+29ZOk6OjoXP0k6auvvrppPTfj4+Ojjh072kYqFy1apGbNmikoKChX3927d+vw4cPq27evzp49a3t9UlNT1b59e3333XfKzs6WZH8uZGRk6OzZs6pWrZq8vb0dvo7PPPOM3Z/OW7ZsqaysLB07duyG9T/11FOKjY1VmzZttGnTJr311ltq2bKlQkJCtGXLFlu/VatWydnZWc8//7ytzcnJSUOHDs3nK+VYQc751q1bq1atWrb7RXXOhYeHa+3atblujq5Tufb4b1RbVlaWvv76a3Xv3l1VqlSxtZcrV059+/bVpk2bdOHCBbt9OPr5vZFnnnnGVuuyZcv04osv6qOPPrI739euXauUlBT16dPH7vVxcnJSeHh4vi5cbtmypSTpu+++k3T186JRo0Z68MEHbZ8hKSkp2rdvn61vQd6bpUuXqmbNmqpRo4Zdv5zphtfXGBERoapVq9ru161bV56envrll19ueBwBAQHas2ePnnvuOZ07d05z5sxR3759VbZsWb311lv5uhj08ccfl5eXl+1+zl9TnnzySbtpTOHh4UpPT9fJkydvus/8uPbnJDU1VWfOnFGzZs1kGIZ27dp10+3z+5mZ4/rzWbr6b0BqaqrWrl17C0cC3HuYTnOXmD17tqpXry5nZ2cFBATo/vvvl9X65+9oK1eu1KRJk7R79267uaDXhrMbqVy5cq62li1bKjMzU/Hx8apYsaJOnTqlli1b6scff7QL8bVq1VKZMmXy3PeoUaO0bt06NW7cWNWqVVOHDh3Ut29fNW/eXNLVpdtSUlI0d+5czZ071+E+8nOhZHh4uCZNmqSsrCzt27dPkyZN0rlz5+zmbB87dkzly5dX6dKl7bbN+TN+TnA9duyYrFarqlWrZtcvMDBQ3t7eNw24+dW3b1/169dPx48f1/LlyzV16lSH/Q4fPixJN/xT/vnz5+Xj46PLly8rJiZG8+fP18mTJ+0Cxvnz53NtV6lSJbv7OdOPzp07d9P6IyMjFRkZqUuXLmnHjh1asmSJ5syZo4ceekgHDx5U2bJldezYMZUrV04eHh52295///033f+NFOScv/78Lqpzzs/PTxERETft5+zsnOeUI0e1Xbp0yeHrU7NmTWVnZ+vEiROqXbt2nvu4mZCQELu6e/ToIYvFopkzZ+qpp55SaGio7ZzLa5UdT0/Pmz5PQECAQkJCtHHjRj377LPauHGj2rZtq1atWmno0KH65ZdfdODAAWVnZ9tCfEHem8OHD+vAgQPy9/e/Yb8c15/r0tXzPT/nerly5fThhx/qgw8+0OHDh7VmzRpNmTJF48aNU7ly5fJcMjav584J9BUrVnTYnp+a8uP48eMaN26cVqxYkWufjj4Prpffz8wcjs7FF154Qf/6179sy9F26NBBPXv2vGOXYgXuFIT4u0Tjxo1tq9Ncb+PGjerWrZtatWqlDz74QOXKlVOJEiU0f/78fK/Xfe1oTY6GDRvKzc1N3333nSpVqqSyZcuqevXqatmypT744AOlpaVp48aNeuSRR26475o1a+rQoUNauXKlYmNjtWzZMn3wwQcaN26cJk6caBtBfvLJJ/MMqTlzZ2/k2kAVGRmpGjVq6KGHHtK7776ba0Q9v/L7S1BhdevWTa6uroqKilJaWpp69uzpsF/OazRt2jSFhYU57JMTkocOHar58+dr+PDhatq0qby8vGSxWNS7d2/bfq6V1whufkYXc7i7u6tly5Zq2bKl/Pz8NHHiRK1evbrA84ctFovD571+/fKCnvPXn99Fdc7ll6urq90v3TeqrTCKYh/t27fXrFmz9N133yk0NNT2Gi1YsECBgYG5+ju6CNaRFi1aKC4uTpcvX9aOHTs0btw42zU3Gzdu1IEDB+Th4aEHHnhAUsHem+zsbIWGhmrGjBkO+10fkIviXLdYLKpevbqqV6+uLl26KCQkRAsXLrxpiM/ruW+lpput65+VlaUHH3xQycnJGjVqlGrUqKFSpUrp5MmTGjBggMPPg1vl6FwsW7asdu/erTVr1mj16tVavXq15s+fr/79++uzzz4r8hqAuwUh/h6wbNkyubm5ac2aNXZLSM6fP/+W9uvi4qLGjRtr48aNqlSpkm2krGXLlkpLS9PChQuVlJSkVq1a3XRfpUqVUq9evdSrVy+lp6erR48e+tvf/qbRo0fL399fpUuXVlZWVr5GNfOrS5cuat26tf7+97/r2WefValSpRQUFKR169bpjz/+sBtZOnjwoCTZprIEBQUpOztbhw8fto04SVcvuEtJSbGb8nIrQb9kyZLq3r27/u///k+dOnXKc034nCkAnp6eN32NvvjiC0VFRWn69Om2titXriglJaXQdRZEzi+bCQkJkv68ADbnAt4chw4dyrWtj4+Pw6kN14/23eo5f7vOuaLg7+8vd3d3h6/PwYMHZbVac4XTopCZmSlJti8uyjnnypYte9PX6EY/Ay1bttT8+fO1ePFiZWVlqVmzZrJarWrRooUtxDdr1swWZgvy3lStWlV79uxR+/btb/sv3I5UqVJFPj4+tnP9dvHx8cn185uenn7T5/3hhx/0008/6bPPPlP//v1t7Y6mteT1+uX3M/NmXFxc1LVrV3Xt2lXZ2dl64YUX9NFHH2ns2LG5/uIJ4CrmxN8DnJycZLFY7EZljh49mmtlhsJo2bKltm7dqvXr19tCvJ+fn2rWrGlbZSCnPS9nz561u+/i4qJatWrJMAxlZGTIycnJti76vn37cm2fn+UO8zJq1CidPXtWH3/8sSSpc+fOysrK0qxZs+z6vfPOO7JYLOrUqZOtn3R19Zlr5Yz4Xbv6SalSpW4pIL/yyisaP368xo4dm2efBg0aqGrVqnr77bcdfjvkta+Rk5NTrlG8999/v9DfxpmXuLg4h+051xPkTAfp3LmzMjMz9eGHH9r6ZGVl6f3338+1bdWqVXXw4EG749mzZ0+uZTRv9Zy/nefcrXJyclKHDh30n//8x25Z0KSkJC1atEgtWrTI11SWgvrvf/8rSapXr56kq3/N8vT01N///ndlZGTk6n/ta5SzLr2jn4Ocz4cpU6aobt26tukiLVu2VFxcnLZv3273GVKQ96Znz546efKk7ef7WpcvX87XSj35sXXrVof72rZtm86ePXvLU8NupmrVqrbrCnLMnTv3pj/TOb8YXft5YBiGw6Ud83oP8/uZeSPX/xtgtVptf025filQAH9iJP4e0KVLF82YMUMdO3ZU3759derUKc2ePVvVqlWzW4u5MFq2bKm//e1vOnHihN0/tK1atdJHH32k4ODgm65L3aFDBwUGBqp58+YKCAjQgQMHNGvWLHXp0sU2sjN58mStX79e4eHhGjx4sGrVqqXk5GTt3LlT69aty7Vucn516tRJderU0YwZM/Tiiy+qa9euatu2rd544w0dPXpU9erV09dff63//Oc/Gj58uG30sV69eoqKitLcuXOVkpKi1q1ba9u2bfrss8/UvXt3tW3b1vYcDRo00IcffqhJkyapWrVqKlu2bIG+rbNevXq24JQXq9Wqf/zjH+rUqZNq166tgQMHqkKFCjp58qTWr18vT09PWwh76KGHtGDBAnl5ealWrVqKj4/XunXrbriEXmE8/PDDqly5srp27aqqVasqNTVV69at03//+181atRIXbt2lSR17dpVzZs312uvvaajR4+qVq1a+vLLLx3Ox33qqac0Y8YMRUZGatCgQTp16pTmzJmj2rVr213MWRTnfFGccydPntT//d//5Wr38PBQ9+7d81WHI5MmTdLatWvVokULvfDCC3J2dtZHH32ktLS0PK+bKIidO3fa6v7jjz8UFxenZcuWqVmzZurQoYOkq3/1+fDDD9WvXz/Vr19fvXv3lr+/v44fP66vvvpKzZs3twW7Bg0aSJJeeuklRUZGysnJSb1795YkVatWTYGBgTp06JDdxcytWrXSqFGjJOUeCMjve9OvXz/961//0nPPPaf169erefPmysrK0sGDB/Wvf/1La9asyXMaYkEsWLBACxcu1COPPKIGDRrIxcVFBw4c0Lx58+Tm5qbXX3/9lp/jRp5++mk999xzevTRR/Xggw9qz549WrNmzU2/zblGjRqqWrWqXnnlFZ08eVKenp5atmyZw/n2eb2H+f3MvFn9ycnJateune677z4dO3ZM77//vsLCwuz+0gngOn/xajgoYjlLyH3//fc37PfJJ58YISEhhqurq1GjRg1j/vz5tmUKr5XXEpN57f/ChQuGk5OTUbp0abvlwf7v//7PkGT069cv1zbXLxP40UcfGa1atTJ8fX0NV1dXo2rVqsbIkSON8+fP222XlJRkvPjii0bFihWNEiVKGIGBgUb79u2NuXPn3vDYc46rS5cuDh/79NNP7ZYy/OOPP4wRI0YY5cuXN0qUKGGEhIQY06ZNs1tezzAMIyMjw5g4caJRuXJlo0SJEkbFihWN0aNH2y39ZhhXl5/r0qWLUbp0aUPSTZeb1HXLXjpy/RKTOXbt2mX06NHD9loGBQUZPXv2NOLi4mx9zp07ZwwcONDw8/MzPDw8jMjISOPgwYP5fu8dLVPnyD//+U+jd+/eRtWqVY2SJUsabm5uRq1atYw33njDuHDhgl3fs2fPGv369TM8PT0NLy8vo1+/fsauXbtyLTFpGFfPrSpVqhguLi5GWFiYsWbNGodLTOb3nL/R632r55zyWK7x2lqjoqKMUqVKOdzHjWrbuXOnERkZaXh4eBju7u5G27ZtjS1bttj1ye/nQw5HS0w6OzsbVapUMUaOHGn88ccfubZZv369ERkZaXh5eRlubm5G1apVjQEDBhjbt2+39cnMzDSGDh1q+Pv7GxaLJdd78PjjjxuSjCVLltja0tPTDXd3d8PFxcW4fPlyrufN73uTnp5uTJkyxahdu7bh6upq+Pj4GA0aNDAmTpxo9xmT12t9/c+FI3v37jVGjhxp1K9f3yhTpozh7OxslCtXznj88ceNnTt32vXNa4nJadOm2fXL+TlbunSpXbuj9zQrK8sYNWqU4efnZ7i7uxuRkZHGzz//nK8lJvfv329EREQYHh4ehp+fnzF48GDb0prX/uzd6D3M72dmXq/xF198YXTo0MEoW7as4eLiYlSqVMl49tlnjYSEhDxfcwCGYTGMAlyxAwB/kaNHj6py5cqaP3/+Tb91EgCAew1z4gEAAACTIcQDAAAAJkOIBwAAAEyGOfEAAACAyTASDwAAAJgMIR4AAAAwGUI8AAAAYDJ8YysAAABuq59ec/1Lnqf65LS/5HnuBIzEAwAAACZzx43EBzWfVtwlAEAuxzaPtP3/XzWiBAAFdS+NRN/rGIkHAAAATIYQDwAAAJgMIR4AAAAwGUI8AAAAYDKEeAAAAMBkCPEAAACAyRDiAQAAAJMhxAMAAAAmQ4gHAAAATIYQDwAAAJgMIR4AAAAwGUI8AAAAYDKEeAAAAMBkCPEAAACAyRDiAQAAAJMhxAMAAAAmQ4gHAAAATIYQDwAAAJgMIR4AAAAwGUI8AAAAYDKEeAAAAMBkCPEAAACAyRDiAQAAAJMhxAMAAAAmQ4gHAAAATIYQDwAAAJgMIR4AAAAwGUI8AAAAYDKEeAAAAMBkCPEAAACAyRDiAQAAAJMhxAMAAAAmQ4gHAAAATIYQDwAAAJgMIR4AAAD3rNmzZys4OFhubm4KDw/Xtm3bbth/6dKlqlGjhtzc3BQaGqpVq1bZHsvIyNCoUaMUGhqqUqVKqXz58urfv79+//13u30EBwfLYrHY3SZPnlygugnxAAAAuCctWbJE0dHRGj9+vHbu3Kl69eopMjJSp06dcth/y5Yt6tOnjwYNGqRdu3ape/fu6t69u/bt2ydJunTpknbu3KmxY8dq586d+vLLL3Xo0CF169Yt177efPNNJSQk2G5Dhw4tUO0WwzCMgh/y7RPUfFpxlwAAuRzbPNL2/z+95lqMlQBA3qpPTivuEhz6qz43C3r84eHhatSokWbNmiVJys7OVsWKFTV06FC99tprufr36tVLqampWrlypa2tSZMmCgsL05w5cxw+x/fff6/GjRvr2LFjqlSpkqSrI/HDhw/X8OHDC1TvtRiJBwAAwD0nPT1dO3bsUEREhK3NarUqIiJC8fHxDreJj4+36y9JkZGRefaXpPPnz8tiscjb29uuffLkyfL19dUDDzygadOmKTMzs0D1OxeoNwAAAHCHSktLU1qa/Wi8q6urXF1z/yXgzJkzysrKUkBAgF17QECADh486HD/iYmJDvsnJiY67H/lyhWNGjVKffr0kaenp639pZdeUv369VWmTBlt2bJFo0ePVkJCgmbMmJGv45QYiQcAAMBdIiYmRl5eXna3mJiYYqklIyNDPXv2lGEY+vDDD+0ei46OVps2bVS3bl0999xzmj59ut5///1cv4DcCCPxAAAAuCuMHj1a0dHRdm2ORuElyc/PT05OTkpKSrJrT0pKUmBgoMNtAgMD89U/J8AfO3ZM33zzjd0ovCPh4eHKzMzU0aNHdf/999+wbw5G4gEAAHBXcHV1laenp90trxDv4uKiBg0aKC4uztaWnZ2tuLg4NW3a1OE2TZs2tesvSWvXrrXrnxPgDx8+rHXr1snX1/emde/evVtWq1Vly5bNz2FKYiQeAAAA96jo6GhFRUWpYcOGaty4sWbOnKnU1FQNHDhQktS/f39VqFDBNiVn2LBhat26taZPn64uXbpo8eLF2r59u+bOnSvpaoB/7LHHtHPnTq1cuVJZWVm2+fJlypSRi4uL4uPjtXXrVrVt21alS5dWfHy8RowYoSeffFI+Pj75rp0QDwAAgHtSr169dPr0aY0bN06JiYkKCwtTbGys7eLV48ePy2r9c+JKs2bNtGjRIo0ZM0avv/66QkJCtHz5ctWpU0eSdPLkSa1YsUKSFBYWZvdc69evV5s2beTq6qrFixdrwoQJSktLU+XKlTVixIhc04BuhnXiASAfWCcegBmwTvydefy3A3PiAQAAAJMhxAMAAAAmQ4gHAAAATIYQDwAAAJgMIR4AAAAwGUI8AAAAYDKEeAAAAMBkCPEAAACAyRDiAQAAAJMhxAMAAAAmQ4gHAAAATIYQDwAAAJgMIR4AAAAwGUI8AAAAYDKEeAAAAMBkCPEAAACAyRDiAQAAAJMhxAMAAAAmQ4gHAAAATIYQDwAAAJgMIR4AAAAwGUI8AAAAYDKEeAAAAMBkCPEAAACAyRDiAQAAAJMhxAMAAAAmQ4gHAAAATIYQDwAAAJgMIR4AAAAwGUI8AAAAYDKEeAAAAMBkCPEAAACAyRDiAQAAAJMhxAMAAAAmQ4gHAAAATIYQDwAAAJgMIR4AAAAwGUI8AAAAYDKEeAAAAMBkCPEAAACAyRDiAQAAAJMhxAMAAAAmQ4gHAAAATIYQDwAAAJgMIR4AAAAwGUI8AAAAYDKEeAAAAMBkCPEAAACAyRDiAQAAAJMhxAMAAAAmQ4gHAAAATIYQDwAAAJgMIR4AAAAwGUI8AAAAYDKEeAAAAMBkCPEAAACAyRDiAQAAAJMhxAMAAAAmQ4gHAAAATIYQDwAAAJgMIR4AAAAwGUI8AAAAYDKEeAAAAMBkCPEAAACAyTjnt+OKFSvUqVMnlShRQitWrLhh327dut1yYQAAAAAcy3eI7969uxITE1W2bFl17949z34Wi0VZWVlFURsAAAAAB/Id4rOzsx3+PwAAAIC/VpHNiU9JSSmqXQEAAAC4gUKF+ClTpmjJkiW2+48//rjKlCmjChUqaM+ePUVWHAAAAIDcChXi58yZo4oVK0qS1q5dq3Xr1ik2NladOnXSyJEji7RAAAAAAPbyPSf+WomJibYQv3LlSvXs2VMdOnRQcHCwwsPDi7RAAAAAAPYKNRLv4+OjEydOSJJiY2MVEREhSTIMg5VpAAAAgNusUCPxPXr0UN++fRUSEqKzZ8+qU6dOkqRdu3apWrVqRVogAAAAAHuFCvHvvPOOgoODdeLECU2dOlUeHh6SpISEBL3wwgtFWiAAAAAAe4UK8SVKlNArr7ySq33EiBG3XBAAAACAGytUiM+xf/9+HT9+XOnp6Xbt3bp1u6WiAAAAAOStUCH+l19+0SOPPKIffvhBFotFhmFIkiwWiyRxcSsAAABwGxUqxA8bNkyVK1dWXFycKleurG3btuns2bN6+eWX9fbbbxd1jUCB9O/xgJ7p20j+ZUrpwM+nNP6dOO05kFjcZQG4C3k1eU5lWo+Qk0eg0hL26vSKEbry2/Y8+3uE9pDfgxPk7BOkjLM/68zqN5R6KPbqg1Zn+XWYqFI1OqpEmcrKvnJel37+RqdXj1HWHwmSpJJVWqniM2sd7vvYrGZK+21HkR8jgDtToZaYjI+P15tvvik/Pz9ZrVZZrVa1aNFCMTExeumll4q6RiDfHmp/v8YMbaN3523RQ099rgM/n9aCGY/L19u9uEsDcJfxqPuY/B+aqrPr/qbj74crLeEHVRi0Uk6l/B32d6vUROV6L9D57Z/q+HvhuvjjCpXvt1QuAbUkSdYS7nKt8IDOxv1dx95rot8X9FIJv+qqELXMto/Lx+J1ZFIlu9v5bZ8o/eyvBHjgHlOoEJ+VlaXSpUtLkvz8/PT7779LkoKCgnTo0KGiqw4ooKd7NdTi/+7V0lX7dPjoWb0+7WtdTstQz4fqFHdpAO4yPi2G6cK2ebqw43OlnzqoU8tflJF+SZ4Noxz3bz5EqT99rXPfzVD66YM6u3airvy+S95Nr67qlp12QSc/6ayLPyxTxpmfdOXENp1aMVxu9zWQs9fVL1hUVoayLib9ebt0VqVqddWFHZ/9VYcN4A5RqBBfp04d7dmzR5IUHh6uqVOnavPmzXrzzTdVpUqVIi0QyK8SzlaF3h+oTd8fs7UZhrRp+zHVr1O+GCsDcNdxKiG3CvWV+vM3f7YZhlJ//kYlg5o43MQtKFyXru0v6dJPa1UyKO9vOndy85KRna3sKykOH/eo9ZCc3H11YfvnBT4EAOZWqDnxY8aMUWpqqiTpzTff1EMPPaSWLVvK19dXS5YsKdICgfzy8S4pZ2erziRfsms/k3xJVSuVKaaqANyNnNz9ZHFyVtbFJLv2rIun5OJ/v8NtnD0Cc/XPvHhKTh4BDvtbnF3l1/Fv+mPPEmWn/eGwj1fDgbr001plXjhZiKMAYGaFCvGRkZG2/69WrZoOHjyo5ORk+fj42FaouZG0tDSlpaXZtbm6usrV1bUw5QAAcHexOqtc30WSxaJTy4c67OLsWUHu1R9UwqK+f3FxAO4EhZpOc60TJ07oxIkTKlOmTL4CvCTFxMTIy8vL7hYTE3OrpeAedy7lsjIzs+VXxv4iVr8y7jqdnFpMVQG4G2VdOiMjKzPXKLqTR9lco+05Mi8m5urv7Ki/1Vnln1ikEj6V9NsnnfMchfds2F9Zl87q4v6VhT8QAKZVqBCfmZmpsWPHysvLS8HBwQoODpaXl5fGjBmjjIyMm24/evRonT9/3u42evTowpQC2GRkZuuHQ4lq3jDI1maxSM0bBGnnvt+LsTIAd52sDF05uVPu1dr+2WaxyL1aW10+9j+Hm1w5ttW+vyT3kPa6fGzrnw05Ad63mn77RydlX0rOswTPBlG6sHOhlJ15S4cCwJwKNZ1m6NCh+vLLLzV16lQ1bdpU0tVlJydMmKCzZ8/qww8/vOH2TJ3B7fKPJds1/Y3O2nswUXv2J+ipng3l7lZCS7/aV9ylAbjLnNv0rgIf/0Rpv+3QlRPb5d1iqKwupXRhx9WLTAN7fqLM87/rzJqxV/tvnqWKz66TT8vhunhwtTzrPS63Cg2U9OXV1WlkdVb5JxfLtXyYTn72iGRxso3cZ11OlrL+HCQrWbWtXHwr6/z38//agwZwxyjUSPyiRYv06aef6tlnn1XdunVVt25dPfvss/rkk0+0aNGioq4RyLeVcYf099nfKvrp5lr1aZRqhfir/8tf6My5SzffGAAK4OLeL3Rm1WvyfXCcKg3bJtdydXVyXldlXTwlSXL2rignz0Bb/yvH/6eExf3l1XiQgoZ9L486PfT7gseVnrT/an+vCvKo1VUlvCsqeNh2VR1z3HYrGdTU7rm9Gg3Q5aNblHGaZZ2BWzV79mwFBwfLzc1N4eHh2rZt2w37L126VDVq1JCbm5tCQ0O1atUq22MZGRkaNWqUQkNDVapUKZUvX179+/e3LceeIzk5WU888YQ8PT3l7e2tQYMG6eLFiwWq22IYhlGgLSSVLVtWGzZsUM2aNe3aDxw4oFatWun06dMF3aVNUPNphd4WAG6XY5tH2v7/p9f4SyKAO1P1yWk371QM/qrPzYIe/5IlS9S/f3/NmTNH4eHhmjlzppYuXapDhw6pbNmyufpv2bJFrVq1UkxMjB566CEtWrRIU6ZM0c6dO1WnTh2dP39ejz32mAYPHqx69erp3LlzGjZsmLKysrR9+5/f5typUyclJCToo48+UkZGhgYOHKhGjRoVaDC8UCH+zTff1MGDBzV//nzbtJi0tDQNGjRIISEhGj9+fEF3aUOIB3AnIsQDMANCfMGOPzw8XI0aNdKsWbMkSdnZ2apYsaKGDh2q1157LVf/Xr16KTU1VStX/nlBeZMmTRQWFqY5c+Y4fI7vv/9ejRs31rFjx1SpUiUdOHBAtWrV0vfff6+GDRtKkmJjY9W5c2f99ttvKl8+f99tU6g58bt27VJcXJzuu+8+1atXT5K0Z88epaenq3379urRo4et75dfflmYpwAAAAAKpCDLmKenp2vHjh12i6tYrVZFREQoPj7e4f7j4+MVHR1t1xYZGanly5fnWdP58+dlsVjk7e1t24e3t7ctwEtSRESErFartm7dqkceeeRmhympkCHe29tbjz76qF1bxYoVC7MrAAAAoEjExMRo4sSJdm3jx4/XhAkTcvU9c+aMsrKyFBBgv/RrQECADh486HD/iYmJDvsnJiY67H/lyhWNGjVKffr0kaenp20f10/VcXZ2VpkyZfLcjyOFCvHz53M1PAAAAO4so0ePzjVSXlwrImZkZKhnz54yDOOmKzcWRqFCfI7Tp0/r0KGrV8bff//98vf3L5KiAAAAgIIqyDLmfn5+cnJyUlKS/ReuJSUlKTAw0OE2gYGB+eqfE+CPHTumb775xjYKn7OPU6dO2fXPzMxUcnJyns/rSKGWmExNTdVTTz2lcuXKqVWrVmrVqpXKly+vQYMG6dIllvIDAADAnc3FxUUNGjRQXFycrS07O1txcXG270G6XtOmTe36S9LatWvt+ucE+MOHD2vdunXy9fXNtY+UlBTt2LHD1vbNN98oOztb4eHh+a6/UCE+OjpaGzZs0H//+1+lpKQoJSVF//nPf7Rhwwa9/PLLhdklAAAA8JeKjo7Wxx9/rM8++0wHDhzQ888/r9TUVA0cOFCS1L9/f7sLX4cNG6bY2FhNnz5dBw8e1IQJE7R9+3YNGTJE0tUA/9hjj2n79u1auHChsrKylJiYqMTERKWnp0uSatasqY4dO2rw4MHatm2bNm/erCFDhqh37975XplGKuR0mmXLlumLL75QmzZtbG2dO3dWyZIl1bNnz9sy7wcAAAAoSr169dLp06c1btw4JSYmKiwsTLGxsbaLV48fPy6r9c8x72bNmmnRokUaM2aMXn/9dYWEhGj58uWqU6eOJOnkyZNasWKFJCksLMzuudavX2/LzgsXLtSQIUPUvn17Wa1WPfroo3rvvfcKVHuh1ol3d3fXjh07cn3Z048//qjGjRsrNTW1oLu0YZ14AHci1okHYAasE39nHv/tUKjpNE2bNtX48eN15coVW9vly5c1ceLEPOcQAQAAACgahZpOM3PmTHXs2DHXlz25urrq66+/LtICAQAAANgrVIgPDQ3V4cOHtXDhQtti+H369NETTzyhkiVLFmmBAAAAAOwVKsTHxMQoICBAgwcPtmufN2+eTp8+rVGjRhVJcQAAAAByK9Sc+I8++kg1atTI1V67dm3NmTPnlosCAAAAkLdChfjExESVK1cuV7u/v78SEhJuuSgAAAAAeStUiK9YsaI2b96cq33z5s0FWqQeAAAAQMEVak784MGDNXz4cGVkZKhdu3aSpLi4OL366qt8YysAAABwmxUqxI8cOVJnz57VCy+8YPsKWTc3N40aNcruq2kBAAAAFL1ChXiLxaIpU6Zo7NixOnDggEqWLKmQkBC5uvIthgAAAMDtVqgQn8PDw0ONGjUqqloAAAAA5EOhLmwFAAAAUHwI8QAAAIDJEOIBAAAAkyHEAwAAACZDiAcAAABMhhAPAAAAmAwhHgAAADAZQjwAAABgMoR4AAAAwGQI8QAAAIDJEOIBAAAAkyHEAwAAACZDiAcAAABMhhAPAAAAmAwhHgAAADAZQjwAAABgMoR4AAAAwGQI8QAAAIDJEOIBAAAAkyHEAwAAACZDiAcAAABMhhAPAAAAmAwhHgAAADAZQjwAAABgMoR4AAAAwGQI8QAAAIDJEOIBAAAAkyHEAwAAACZDiAcAAABMhhAPAAAAmAwhHgAAADAZQjwAAABgMoR4AAAAwGQI8QAAAIDJEOIBAAAAkyHEAwAAACZDiAcAAABMhhAPAAAAmAwhHgAAADAZQjwAAABgMoR4AAAAwGQI8QAAAIDJEOIBAAAAkyHEAwAAACZDiAcAAABMhhAPAAAAmAwhHgAAADAZQjwAAABgMoR4AAAAwGQI8QAAAIDJEOIBAAAAkyHEAwAAACZDiAcAAABMhhAPAAAAmAwhHgAAADAZQjwAAABgMoR4AAAAwGQI8QAAAIDJEOIBAAAAkyHEAwAAACZDiAcAAABMhhAPAAAAmAwhHgAAADAZQjwAAABgMoR4AAAAwGQI8QAAAIDJEOIBAAAAkyHEAwAAACZDiAcAAABMhhAPAAAAmAwhHgAAADAZQjwAAABgMoR4AAAAwGQI8QAAAIDJEOIBAABwz5o9e7aCg4Pl5uam8PBwbdu27Yb9ly5dqho1asjNzU2hoaFatWqV3eNffvmlOnToIF9fX1ksFu3evTvXPtq0aSOLxWJ3e+655wpUNyEeAAAA96QlS5YoOjpa48eP186dO1WvXj1FRkbq1KlTDvtv2bJFffr00aBBg7Rr1y51795d3bt31759+2x9UlNT1aJFC02ZMuWGzz148GAlJCTYblOnTi1Q7YR4AAAA3JNmzJihwYMHa+DAgapVq5bmzJkjd3d3zZs3z2H/d999Vx07dtTIkSNVs2ZNvfXWW6pfv75mzZpl69OvXz+NGzdOERERN3xud3d3BQYG2m6enp4Fqp0QDwAAgHtOenq6duzYYRe2rVarIiIiFB8f73Cb+Pj4XOE8MjIyz/43snDhQvn5+alOnToaPXq0Ll26VKDtnQv8jAAAAMAdKC0tTWlpaXZtrq6ucnV1zdX3zJkzysrKUkBAgF17QECADh486HD/iYmJDvsnJiYWqM6+ffsqKChI5cuX1969ezVq1CgdOnRIX375Zb73QYgHAADAXSEmJkYTJ060axs/frwmTJhQPAXl4ZlnnrH9f2hoqMqVK6f27dvryJEjqlq1ar72QYgHAADAXWH06NGKjo62a3M0Ci9Jfn5+cnJyUlJSkl17UlKSAgMDHW4TGBhYoP75FR4eLkn6+eef8x3imRMPAACAu4Krq6s8PT3tbnmFeBcXFzVo0EBxcXG2tuzsbMXFxalp06YOt2natKldf0lau3Ztnv3zK2cZynLlyuV7G0biAQAAcE+Kjo5WVFSUGjZsqMaNG2vmzJlKTU3VwIEDJUn9+/dXhQoVFBMTI0kaNmyYWrdurenTp6tLly5avHixtm/frrlz59r2mZycrOPHj+v333+XJB06dEiSbKvQHDlyRIsWLVLnzp3l6+urvXv3asSIEWrVqpXq1q2b79oJ8QAAALgn9erVS6dPn9a4ceOUmJiosLAwxcbG2i5ePX78uKzWPyeuNGvWTIsWLdKYMWP0+uuvKyQkRMuXL1edOnVsfVasWGH7JUCSevfuLenPufkuLi5at26d7ReGihUr6tFHH9WYMWMKVLvFMAzjVg6+qAU1n1bcJQBALsc2j7T9/0+vOf7TLAAUt+qT027eqRj8VZ+bd+rx3w7MiQcAAABMhhAPAAAAmAwhHgAAADAZQjwAAABgMoR4AAAAwGQI8QAAAIDJEOIBAAAAkyHEAwAAACZDiAcAAABMhhAPAAAAmAwhHgAAADAZQjwAAABgMoR4AAAAwGQI8QAAAIDJEOIBAAAAkyHEAwAAACZDiAcAAABMhhAPAAAAmAwhHgAAADAZQjwAAABgMhbDMIziLgIAAAB3r59ec/1Lnqf65LS/5HnuBM7FXQAAAADubg9unPSXPM+xv+RZ7gxMpwEAAABM5o4bif+r/twCAAVx7Z9og5pPK8ZKACBvxzaPLO4S8BdhJB4AAAAwGUI8AAAAYDKEeAAAAMBkCPEAAACAyRDiAQAAAJMhxAMAAAAmQ4gHAAAATIYQDwAAAJgMIR4AAAAwGUI8AAAAYDKEeAAAAMBkCPEAAACAyRDiAQAAAJMhxAMAAAAmQ4gHAAAATIYQDwAAAJgMIR4AAAAwGUI8AAAAYDKEeAAAAMBkCPEAAACAyRDiAQAAAJMhxAMAAAAmQ4gHAAAATIYQDwAAAJgMIR4AAAAwGUI8AAAAYDKEeAAAAMBkCPEAAACAyRDiAQAAAJMhxAMAAAAmQ4gHAAAATIYQDwAAAJgMIR4AAAAwGUI8AAAAYDKEeAAAAMBkCPEAAACAyRDiAQAAAJMhxAMAAAAmQ4gHAAAATIYQDwAAAJgMIR4AAAAwGUI8AAAAYDKEeAAAAMBkCPEAAACAyRDiAQAAAJMhxAMAAAAmQ4gHAAAATIYQDwAAAJgMIR4AAAAwGUI8AAAAYDKEeAAAAMBkCPEAAACAyRDiAQAAAJMhxAMAAAAmQ4gHAAAATIYQDwAAAJgMIR4AAAAwGUI8AAAAYDKEeAAAAMBkCPEAAACAyRDiAQAAAJMhxAMAAAAmQ4gHAADAPWv27NkKDg6Wm5ubwsPDtW3bthv2X7p0qWrUqCE3NzeFhoZq1apVdo9/+eWX6tChg3x9fWWxWLR79+5c+7hy5YpefPFF+fr6ysPDQ48++qiSkpIKVDchHgAAAPekJUuWKDo6WuPHj9fOnTtVr149RUZG6tSpUw77b9myRX369NGgQYO0a9cude/eXd27d9e+fftsfVJTU9WiRQtNmTIlz+cdMWKE/vvf/2rp0qXasGGDfv/9d/Xo0aNAtVsMwzAKtMVt9tNrrsVdAgDkUn1ymu3/g5pPK8ZKACBvxzaPLO4SHPqrPjcLevzh4eFq1KiRZs2aJUnKzs5WxYoVNXToUL322mu5+vfq1UupqalauXKlra1JkyYKCwvTnDlz7PoePXpUlStX1q5duxQWFmZrP3/+vPz9/bVo0SI99thjkqSDBw+qZs2aio+PV5MmTfJVOyPxAAAAuCukpaXpwoULdre0tDSHfdPT07Vjxw5FRETY2qxWqyIiIhQfH+9wm/j4eLv+khQZGZlnf0d27NihjIwMu/3UqFFDlSpVKtB+CPEAAAC4K8TExMjLy8vuFhMT47DvmTNnlJWVpYCAALv2gIAAJSYmOtwmMTGxQP3z2oeLi4u8vb1vaT/O+e4JAAAA3MFGjx6t6OhouzZX17tzqjYhHgAAAHcFV1fXfId2Pz8/OTk55VoVJikpSYGBgQ63CQwMLFD/vPaRnp6ulJQUu9H4gu6H6TQAAAC457i4uKhBgwaKi4uztWVnZysuLk5NmzZ1uE3Tpk3t+kvS2rVr8+zvSIMGDVSiRAm7/Rw6dEjHjx8v0H4YiQcAAMA9KTo6WlFRUWrYsKEaN26smTNnKjU1VQMHDpQk9e/fXxUqVLDNqx82bJhat26t6dOnq0uXLlq8eLG2b9+uuXPn2vaZnJys48eP6/fff5d0NaBLV0fgAwMD5eXlpUGDBik6OlplypSRp6enhg4dqqZNm+Z7ZRqJEA8AAIB7VK9evXT69GmNGzdOiYmJCgsLU2xsrO3i1ePHj8tq/XPiSrNmzbRo0SKNGTNGr7/+ukJCQrR8+XLVqVPH1mfFihW2XwIkqXfv3pKk8ePHa8KECZKkd955R1arVY8++qjS0tIUGRmpDz74oEC1s048AOQD68QDMAPWib8zj/92YE48AAAAYDKEeAAAAMBkCPEAAACAyRDiAQAAAJMhxAMAAAAmQ4gHAAAATIYQDwAAAJgMIR4AAAAwGUI8AAAAYDKEeAAAAMBkCPEAAACAyRDiAQAAAJMhxAMAAAAmQ4gHAAAATIYQDwAAAJgMIR4AAAAwGUI8AAAAYDKEeAAAAMBkCPEAAACAyRDiAQAAAJMhxAMAAAAmQ4gHAAAATIYQDwAAAJgMIR4AAAAwGUI8AAAAYDKEeAAAAMBknAu74alTp3Tq1CllZ2fbtdetW/eWiwIAAACQtwKH+B07digqKkoHDhyQYRiSJIvFIsMwZLFYlJWVVeRFAgAAAPhTgUP8U089perVq+uTTz5RQECALBbL7agLAAAAQB4KHOJ/+eUXLVu2TNWqVbsd9QAAAAC4iQJf2Nq+fXvt2bPndtQCAAAAIB8KPBL/j3/8Q1FRUdq3b5/q1KmjEiVK2D3erVu3IisOAAAAQG4FDvHx8fHavHmzVq9enesxLmwFAAAAbr8CT6cZOnSonnzySSUkJCg7O9vuRoAHAAAAbr8Ch/izZ89qxIgRCggIuB31AAAAALiJAof4Hj16aP369bejFgAAAAD5UOA58dWrV9fo0aO1adMmhYaG5rqw9aWXXiqy4gAAAADkVqjVaTw8PLRhwwZt2LDB7jGLxUKIBwAAAG6zAof4X3/99XbUAQAAACCfCjwnHgAAAEDxKvBI/FNPPXXDx+fNm1foYgAAAADcXIFD/Llz5+zuZ2RkaN++fUpJSVG7du2KrDAAAAAAjhU4xP/73//O1Zadna3nn39eVatWLZKiAAAAAOStSObEW61WRUdH65133imK3QEAAAC4gSK7sPXIkSPKzMwsqt0BAAAAyEOBp9NER0fb3TcMQwkJCfrqq68UFRVVZIUBAAAAcKzAIX7Xrl12961Wq/z9/TV9+vSbrlwDAAAA4NYVOMSvX7/+dtQBAAAAIJ/4sicAAADAZPI1El+/fn3FxcXJx8dHDzzwgCwWS559d+7cWWTF4d7l1eQ5lWk9Qk4egUpL2KvTK0boym/b8+zvEdpDfg9OkLNPkDLO/qwzq99Q6qHYqw9aneXXYaJK1eioEmUqK/vKeV36+RudXj1GWX8kSJJKVmmlis+sdbjvY7OaKe23HUV+jADubf17PKBn+jaSf5lSOvDzKY1/J057DiQWd1kATCJfIf7hhx+Wq6urJKl79+63sx5AHnUfk/9DU3Xq30N05cQ2eTd/SRUGrdTRt0OVlXo6V3+3Sk1UrvcCnVkzVqkHVql0WC+V77dUx94PV3rSfllLuMu1wgM6G/d3pSX8IKeS3vLvOl0Vopbp+KxmkqTLx+J1ZFIlu/36dRivklXbEeABFLmH2t+vMUPb6I1pa7V7f4Ke6tlAC2Y8rrZ9PtHZlEvFXR4AE8hXiB8/frwkKSsrS23btlXdunXl7e19O+vCPcynxTBd2DZPF3Z8Lkk6tfxFedToKM+GUTq34e3c/ZsPUepPX+vcdzMkSWfXTpR7SHt5N31Bp5YPUXbaBZ38pLOtf4akUyuGK2jIFjl7VVTm+RNSVoayLib9uVOrs0rV6qqULR/c1mMFcG96uldDLf7vXi1dtU+S9Pq0r9WuWRX1fKiOPvy/bcVcHQAzKNCceCcnJ3Xo0EHnzp27XfXgXudUQm4V6iv152/+bDMMpf78jUoGNXG4iVtQuC5d21/SpZ/WqmRQeN5P4+YlIztb2VdSHD7uUeshObn76sL2zwt8CABwIyWcrQq9P1Cbvj9mazMMadP2Y6pfp3wxVgbATAp8YWudOnX0yy+/3I5aADm5+8ni5Gw/Ki4p6+IpOXkEONzG2SMwV//MG/S3OLvKr+Pf9MeeJcpO+8NhH6+GA3Xpp7XKvHCyEEcBAHnz8S4pZ2erziTbT5s5k3xJ/mVKFVNVAMymwCF+0qRJeuWVV7Ry5UolJCTowoULdrf8SEtLy7VdWlpagYsHCszqrHJ9F0kWi04tH+qwi7NnBblXf1Dnt8//i4sDAADInwKH+M6dO2vPnj3q1q2b7rvvPvn4+MjHx0fe3t7y8fHJ1z5iYmLk5eVld4uJiSlw8bj7ZF06IyMrM9coupNH2Vyj7TkyLybm6u/sqL/VWeWfWKQSPpX02yed8xyF92zYX1mXzuri/pWFPxAAyMO5lMvKzMyWXxl3u3a/Mu46nZxaTFUBMJti+bKn0aNHKzo62q4tZ/Ub3OOyMnTl5E65V2ur1P0rrrZZLHKv1lYpWz50uMmVY1uvPr75fVube0h7XT629c9OOQHet5p++7iDsi8l51mCZ4MoXdi5UMrOLJJDAoBrZWRm64dDiWreMEhfb/xZkmSxSM0bBOmzZSzTDCB/ChziW7dufctP6urqSmhHns5teleBj3+itN926MqJ7fJuMVRWl1K21WoCe36izPO/68yasVf7b56lis+uk0/L4bp4cLU86z0utwoNlPTlC1d3aHVW+ScXy7V8mE5+9ohkcbKN3GddTpayMmzPXbJqW7n4Vtb575lKA+D2+ceS7Zr+RmftPZioPfsT9FTPhnJ3K6GlX+0r7tIAmESBQ/x33313w8dbtWpV6GIASbq49wudKeUv3wfHyal0oNJ+36OT87oq6+IpSZKzd0UZRrat/5Xj/1PC4v7y6zBRvpFvKuPMz/p9weNKT9p/tb9XBXnU6ipJCh5m/4VRJ+Y+qMu//HlOezUaoMtHtyjj9KHbfZgA7mEr4w7J19td0U83l3+ZUtp/+JT6v/yFzpxjjXgA+WMxDMMoyAZWa+5p9Nd+g2tWVtYtFfTTa4zQA7jzVJ/858X3Qc2nFWMlAJC3Y5tHFncJDv1Vn5t36vHfDgW+sPXcuXN2t1OnTik2NlaNGjXS119/fTtqBAAAAHCNAk+n8fLyytX24IMPysXFRdHR0dqxg6+oBwAAAG6nAo/E5yUgIECHDjGPGAAAALjdCjwSv3fvXrv7hmEoISFBkydPVlhYWFHVBQAAACAPBQ7xYWFhslgsuv562CZNmmjevHlFVhgAAAAAxwoc4n/99Ve7+1arVf7+/nJzcyuyogAAAADkrcAhPigo6HbUAQAAACCf8hXi33vvvXzv8KWXXip0MQAAAABuLl8h/p133snXziwWCyEeAAAAuM3yFeKvnwcPAAAAoPgU2TrxAAAAAP4a+RqJj46OzvcOZ8yYUehiAAAAANxcvkL8rl278rUzi8VyS8UAAAAAuLl8hfj169ff7joAAAAA5FOh58T//PPPWrNmjS5fvixJub7BFQAAAMDtUeAQf/bsWbVv317Vq1dX586dlZCQIEkaNGiQXn755SIvEAAAAIC9Aof4ESNGqESJEjp+/Ljc3d1t7b169VJsbGyRFgcAAAAgt3zNib/W119/rTVr1ui+++6zaw8JCdGxY8eKrDAAAAAAjhV4JD41NdVuBD5HcnKyXF1di6QoAAAAAHkrcIhv2bKlPv/8c9t9i8Wi7OxsTZ06VW3bti3S4gAAAADkVuDpNFOnTlX79u21fft2paen69VXX9WPP/6o5ORkbd68+XbUCAAAAOAaBR6J9/T01IEDB9SiRQs9/PDDSk1NVY8ePbRr1y6VKFHidtQIAAAA4BoFHomvXLmyEhIS9MYbb9i1nz17Vvfdd5+ysrKKrDgAAAAAuRV4JD6vL3W6ePGi3NzcbrkgAAAAADeW75H46OhoSVcvZB03bpzdCjVZWVnaunWrwsLCirxAAAAAAPbyPRK/a9cu7dq1S4Zh6IcffrDd37Vrlw4ePKh69erp008/vY2lAgAAAEVr9uzZCg4Olpubm8LDw7Vt27Yb9l+6dKlq1KghNzc3hYaGatWqVXaPG4ahcePGqVy5cipZsqQiIiJ0+PBhuz7BwcGyWCx2t8mTJxeo7nyPxK9fv16SNHDgQL377rvy9PQs0BMBAAAAd5IlS5YoOjpac+bMUXh4uGbOnKnIyEgdOnRIZcuWzdV/y5Yt6tOnj2JiYvTQQw9p0aJF6t69u3bu3Kk6depIurqS43vvvafPPvtMlStX1tixYxUZGan9+/fbTT1/8803NXjwYNv90qVLF6j2As+Jnz9/PgEeAAAApjdjxgwNHjxYAwcOVK1atTRnzhy5u7tr3rx5Dvu/++676tixo0aOHKmaNWvqrbfeUv369TVr1ixJV0fhZ86cqTFjxujhhx9W3bp19fnnn+v333/X8uXL7fZVunRpBQYG2m6lSpUqUO0FDvEAAACA2aWnp2vHjh2KiIiwtVmtVkVERCg+Pt7hNvHx8Xb9JSkyMtLW/9dff1ViYqJdHy8vL4WHh+fa5+TJk+Xr66sHHnhA06ZNU2ZmZoHqL/ASkwAAAMCdKC0tTWlpaXZtrq6ucnV1zdX3zJkzysrKUkBAgF17QECADh486HD/iYmJDvsnJibaHs9py6uPJL300kuqX7++ypQpoy1btmj06NFKSEjQjBkz8nmkjMQDAADgLhETEyMvLy+7W0xMTHGXlUt0dLTatGmjunXr6rnnntP06dP1/vvv5/oF5EYI8QAAALgrjB49WufPn7e7jR492mFfPz8/OTk5KSkpya49KSlJgYGBDrcJDAy8Yf+c/xZkn5IUHh6uzMxMHT169IbHdy1CPAAAAO4Krq6u8vT0tLs5mkojSS4uLmrQoIHi4uJsbdnZ2YqLi1PTpk0dbtO0aVO7/pK0du1aW//KlSsrMDDQrs+FCxe0devWPPcpSbt375bVanW4Ik5emBMPAACAe1J0dLSioqLUsGFDNW7cWDNnzlRqaqoGDhwoSerfv78qVKhgm5IzbNgwtW7dWtOnT1eXLl20ePFibd++XXPnzpV09UtRhw8frkmTJikkJMS2xGT58uXVvXt3SVcvjt26davatm2r0qVLKz4+XiNGjNCTTz4pHx+ffNdOiAcAAMA9qVevXjp9+rTGjRunxMREhYWFKTY21nZh6vHjx2W1/jlxpVmzZlq0aJHGjBmj119/XSEhIVq+fLltjXhJevXVV5WamqpnnnlGKSkpatGihWJjY21rxLu6umrx4sWaMGGC0tLSVLlyZY0YMULR0dEFqt1iGIZRBK9BkfnpNcd/8gCA4lR98p8XGwU1n1aMlQBA3o5tHlncJTj0V31u3qnHfzswJx4AAAAwGUI8AAAAYDKEeAAAAMBkCPEAAACAyRDiAQAAAJMhxAMAAAAmQ4gHAAAATIYQDwAAAJgMIR4AAAAwGUI8AAAAYDKEeAAAAMBkCPEAAACAyRDiAQAAAJMhxAMAAAAmQ4gHAAAATIYQDwAAAJgMIR4AAAAwGUI8AAAAYDKEeAAAAMBkCPEAAACAyRDiAQAAAJMhxAMAAAAmQ4gHAAAATIYQDwAAAJgMIR4AAAAwGUI8AAAAYDKEeAAAAMBkCPEAAACAyRDiAQAAAJMhxAMAAAAmQ4gHAAAATIYQDwAAAJgMIR4AAAAwGUI8AAAAYDKEeAAAAMBkCPEAAACAyRDiAQAAAJMhxAMAAAAmQ4gHAAAATIYQDwAAAJgMIR4AAAAwGUI8AAAAYDKEeAAAAMBkCPEAAACAyRDiAQAAAJMhxAMAAAAmQ4gHAAAATIYQDwAAAJgMIR4AAAAwGUI8AAAAYDKEeAAAAMBkCPEAAACAyRDiAQAAAJMhxAMAAAAmQ4gHAAAATIYQDwAAAJgMIR4AAAAwGUI8AAAAYDKEeAAAAMBkCPEAAACAyRDiAQAAAJMhxAMAAAAmQ4gHAAAATIYQDwAAAJgMIR4AAAAwGUI8AAAAYDKEeAAAAMBkCPEAAACAyRDiAQAAAJMhxAMAAAAmQ4gHAAAATIYQDwAAAJgMIR4AAAAwGUI8AAAAYDKEeAAAAMBkCPEAAACAyRDiAQAAAJMhxAMAAAAmQ4gHAAAATIYQDwAAAJgMIR4AAAAwGUI8AAAAYDKEeAAAAMBkCPEAAACAyRDiAQAAAJMhxAMAAAAmQ4gHAADAPWv27NkKDg6Wm5ubwsPDtW3bthv2X7p0qWrUqCE3NzeFhoZq1apVdo8bhqFx48apXLlyKlmypCIiInT48GG7PsnJyXriiSfk6ekpb29vDRo0SBcvXixQ3YR4AAAA3JOWLFmi6OhojR8/Xjt37lS9evUUGRmpU6dOOey/ZcsW9enTR4MGDdKuXbvUvXt3de/eXfv27bP1mTp1qt577z3NmTNHW7duValSpRQZGakrV67Y+jzxxBP68ccftXbtWq1cuVLfffednnnmmQLVbjEMwyjcYd8eP73mWtwlAEAu1Sen2f4/qPm0YqwEAPJ2bPPI4i7Bob/qc7Ogxx8eHq5GjRpp1qxZkqTs7GxVrFhRQ4cO1WuvvZarf69evZSamqqVK1fa2po0aaKwsDDNmTNHhmGofPnyevnll/XKK69Iks6fP6+AgAB9+umn6t27tw4cOKBatWrp+++/V8OGDSVJsbGx6ty5s3777TeVL18+X7U7F+hI/wLX/kMJAHeiO/UfSQC416WlpSktzT5Lurq6ytU19yBxenq6duzYodGjR9varFarIiIiFB8f73D/8fHxio6OtmuLjIzU8uXLJUm//vqrEhMTFRERYXvcy8tL4eHhio+PV+/evRUfHy9vb29bgJekiIgIWa1Wbd26VY888ki+jvWOC/FAUUhLS1NMTIxGjx7t8AcXAIobn1O4l/xVgx8TJkzQxIkT7drGjx+vCRMm5Op75swZZWVlKSAgwK49ICBABw8edLj/xMREh/0TExNtj+e03ahP2bJl7R53dnZWmTJlbH3ygznxuCulpaVp4sSJuX4bB4A7BZ9TQNEbPXq0zp8/b3e7dqT9bsJIPAAAAO4KeU2dccTPz09OTk5KSkqya09KSlJgYKDDbQIDA2/YP+e/SUlJKleunF2fsLAwW5/rL5zNzMxUcnJyns/rCCPxAAAAuOe4uLioQYMGiouLs7VlZ2crLi5OTZs2dbhN06ZN7fpL0tq1a239K1eurMDAQLs+Fy5c0NatW219mjZtqpSUFO3YscPW55tvvlF2drbCw8PzXT8j8QAAALgnRUdHKyoqSg0bNlTjxo01c+ZMpaamauDAgZKk/v37q0KFCoqJiZEkDRs2TK1bt9b06dPVpUsXLV68WNu3b9fcuXMlSRaLRcOHD9ekSZMUEhKiypUra+zYsSpfvry6d+8uSapZs6Y6duyowYMHa86cOcrIyNCQIUPUu3fvfK9MIxHicZdydXXV+PHjuVgMwB2Lzymg+PXq1UunT5/WuHHjlJiYqLCwMMXGxtouTD1+/Lis1j8nrjRr1kyLFi3SmDFj9PrrryskJETLly9XnTp1bH1effVVpaam6plnnlFKSopatGih2NhYubm52fosXLhQQ4YMUfv27WW1WvXoo4/qvffeK1Dtd9w68QAAAABujDnxAAAAgMkQ4gEAAACTIcQDAAAAJkOIB/LBYrHYvlIZAHK0adNGw4cPt90PDg7WzJkzb3m/EyZMsK0pDQCOEOKBfEhISFCnTp2KuwwAt9H1gbw4vfLKK7nWogaAa7HEJJAPBfkGNQAoLMMwlJWVJQ8PD3l4eBR3OQDuYIzE446QnZ2tqVOnqlq1anJ1dVWlSpX0t7/9TZL0ww8/qF27dipZsqR8fX31zDPP6OLFi7ZtBwwYoO7du2vixIny9/eXp6ennnvuOaWnp9v6xMbGqkWLFvL29pavr68eeughHTlyxPZ4enq6hgwZonLlysnNzU1BQUG2L3aQmE4D3O0GDBigDRs26N1335XFYpHFYtHRo0e1b98+derUSR4eHgoICFC/fv105syZfO3z6NGjslgs2r17t60tJSVFFotF3377rSTp22+/lcVi0erVq9WgQQO5urpq06ZNuabTOPorQffu3TVgwADb/eDgYE2aNEn9+/eXh4eHgoKCtGLFCp0+fVoPP/ywPDw8VLduXW3fvr2QrxKAOwkhHneE0aNHa/LkyRo7dqz279+vRYsWKSAgQKmpqYqMjJSPj4++//57LV26VOvWrdOQIUPsto+Li9OBAwf07bff6p///Ke+/PJLTZw40fZ4amqqoqOjtX37dsXFxclqteqRRx5Rdna2JOm9997TihUr9K9//UuHDh3SwoULFRwc/Fe+BACK0bvvvqumTZtq8ODBSkhIUEJCgkqXLq127drpgQce0Pbt2xUbG6ukpCT17NmzyJ//tdde0+TJk3XgwAHVrVu30Pt555131Lx5c+3atUtdunRRv3791L9/fz355JPauXOnqlatqv79+4uviAHMj+k0KHZ//PGH3n33Xc2aNUtRUVGSpKpVq6pFixb6+OOPdeXKFX3++ecqVaqUJGnWrFnq2rWrpkyZYvtGNRcXF82bN0/u7u6qXbu23nzzTY0cOVJvvfWW7ZvQrjVv3jz5+/tr//79qlOnjo4fP66QkBC1aNFCFotFQUFBf+2LAKBYeXl5ycXFRe7u7rbpc5MmTdIDDzygv//977Z+8+bNU8WKFfXTTz+pevXqRfb8b775ph588MFb3k/nzp317LPPSpLGjRunDz/8UI0aNdLjjz8uSRo1apSaNm2qpKQkpgkCJsdIPIrdgQMHlJaWpvbt2zt8rF69erYAL0nNmzdXdna2Dh06ZGurV6+e3N3dbfebNm2qixcv6sSJE5Kkw4cPq0+fPqpSpYo8PT1to+zHjx+XdPVP6bt379b999+vl156SV9//fXtOFQAJrJnzx6tX7/eNj/dw8NDNWrUkCS76XhFoWHDhkWyn2tH8XMGOUJDQ3O1nTp1qkieD0DxYSQexa5kyZK3/Tm6du2qoKAgffzxxypfvryys7NVp04d27z5+vXr69dff9Xq1au1bt069ezZUxEREfriiy9ue20A7kwXL160/dXveuXKlbvp9lbr1XGya6euZGRkOOx77UBFXvu6fgqMo32VKFHC9v8WiyXPtpyphADMi5F4FLuQkBCVLFnS4XJqNWvW1J49e5Sammpr27x5s6xWq+6//35b2549e3T58mXb/f/973/y8PBQxYoVdfbsWR06dEhjxoxR+/btVbNmTZ07dy7Xc3l6eqpXr176+OOPtWTJEi1btkzJyclFfLQA7lQuLi7Kysqy3a9fv75+/PFHBQcHq1q1ana3m4VuSfL395d0dYnaHNde5FoQ/v7+dvvJysrSvn37CrUvAHcHQjyKnZubm0aNGqVXX31Vn3/+uY4cOaL//e9/+uSTT/TEE0/Izc1NUVFR2rdvn9avX6+hQ4eqX79+tj8LS1dXlxk0aJD279+vVatWafz48RoyZIisVqt8fHzk6+uruXPn6ueff9Y333yj6OhouxpmzJihf/7znzp48KB++uknLV26VIGBgfL29v6LXw0AxSU4OFhbt27V0aNHdebMGb344otKTk5Wnz599P333+vIkSNas2aNBg4caBf281KyZEk1adLEdsHqhg0bNGbMmELV1q5dO3311Vf66quvdPDgQT3//PNKSUkp1L4A3B0I8bgjjB07Vi+//LLGjRunmjVrqlevXjp16pTc3d21Zs0aJScnq1GjRnrsscfUvn17zZo1y2779u3bKyQkRK1atVKvXr3UrVs3TZgwQdLVP0MvXrxYO3bsUJ06dTRixAhNmzbNbvvSpUtr6tSpatiwoRo1aqSjR49q1apVtj+HA7j7vfLKK3JyclKtWrXk7++v9PR0bd68WVlZWerQoYNCQ0M1fPhweXt75/uzYd68ecrMzFSDBg00fPhwTZo0qVC1PfXUU4qKilL//v3VunVrValSRW3bti3UvgDcHSwG60zB5AYMGKCUlBTWcQcAAPcMhhkBAAAAkyHEAwAAACbDdBoAAADAZBiJBwAAAEyGEA8AAACYDCEeAAAAMBlCPAAAAGAyhHgAAADAZAjxAAAAgMkQ4gEAAACTIcQDAAAAJkOIBwAAAEzm/wFWM1vriyEkLgAAAABJRU5ErkJggg==" - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "execution_count": 8 - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2024-09-01T02:34:58.649254Z", - "start_time": "2024-09-01T02:34:58.233268Z" - } - }, - "cell_type": "code", - "source": "verifier.get_compatible(sbml_fp, versions=True)", - "id": "46e14dd59776ccc8", - "outputs": [ - { - "data": { - "text/plain": [ - "[('amici', '0.11.21'), ('copasi', '0.71'), ('tellurium', '2.2.10')]" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "execution_count": 7 - }, - { - "cell_type": "code", - "id": "99a9982c-e7ab-41c5-9b69-74647f3d8150", - "metadata": { - "ExecuteTime": { - "end_time": "2024-08-30T21:47:00.912242Z", - "start_time": "2024-08-30T21:47:00.073203Z" - } - }, - "source": [ - "# use the get_output method of Verifier to poll the API for results:\n", - "\n", - "verification_result = verifier.get_output(job_id)\n", - "\n", - "verification_result['content']['results'].keys()" - ], - "outputs": [ - { - "data": { - "text/plain": [ - "dict_keys(['comparison_id', 'CT', 'Reaction2', 'Reaction5', 'Reaction7', 'YP', 'Reaction4', 'Reaction3', 'Y', 'CP', 'EmptySet', 'Reaction8', 'Reaction6', 'Reaction9', 'M', 'YT', 'pM', 'time', 'C2', 'pcyclin_cdc2', 'Reaction1', 'cell', 'total_cyclin', 'Time', 'rmse'])" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "execution_count": 5 - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2024-08-30T21:47:01.628619Z", - "start_time": "2024-08-30T21:47:00.913635Z" - } - }, - "cell_type": "code", - "source": [ - "# use the get rmse method to get the root-mean-square error score for a given verification submission\n", - "\n", - "verifier.get_rmse(job_id)" - ], - "id": "ee338f37cdc142fb", - "outputs": [ - { - "data": { - "text/plain": [ - "{'copasi': {'copasi': 0.0, 'tellurium': 0.027142250546163618},\n", - " 'tellurium': {'copasi': 0.027142250546163618, 'tellurium': 0.0}}" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "execution_count": 6 - }, - { - "cell_type": "code", - "id": "32a40722-5972-4a60-81f1-17b187557f91", - "metadata": { - "ExecuteTime": { - "end_time": "2024-08-30T21:47:01.632370Z", - "start_time": "2024-08-30T21:47:01.629780Z" - } - }, - "source": [ - "# showing a sample output observable proximity comparison:\n", - "\n", - "sample_verification_result = verification_result['content']['results']['Y']\n", - "sample_proximity_matrix = sample_verification_result['proximity']\n", - "\n", - "sample_proximity_matrix" - ], - "outputs": [ - { - "data": { - "text/plain": [ - "{'copasi': {'copasi': True, 'tellurium': True},\n", - " 'tellurium': {'copasi': True, 'tellurium': True}}" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "execution_count": 7 - }, - { - "cell_type": "code", - "id": "821ce612-03f9-43fd-8dfd-d9e4f8bfd9e7", - "metadata": { - "ExecuteTime": { - "end_time": "2024-08-30T21:47:10.144897Z", - "start_time": "2024-08-30T21:47:10.117583Z" - } - }, - "source": [ - "# use the verifier's export_csv method to export the ouput data on which the verification is calculated (from each simulator):\n", - "\n", - "csv_dir = os.path.dirname('.')\n", - "model_name = verification_result['content']['source'].replace('xml', 'csv')\n", - "csv_name = os.path.join(csv_dir, model_name)\n", - "\n", - "verifier.export_csv(data=verification_result, save_dest=csv_name)" - ], - "outputs": [], - "execution_count": 9 - }, - { - "cell_type": "code", - "id": "ccf7c029-dd49-4873-9e22-05916bb76fa3", - "metadata": { - "ExecuteTime": { - "end_time": "2024-08-30T21:47:12.774724Z", - "start_time": "2024-08-30T21:47:12.637334Z" - } - }, - "source": [ - "# csv is saved to the specified destination:\n", - "\n", - "!ls . " - ], - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "BIOMD0000000001_url.csv verification_colab_demo.ipynb\r\n", - "BIOMD0000000005.omex verification_demo.ipynb\r\n" - ] - } - ], - "execution_count": 10 - }, - { - "cell_type": "code", - "id": "7ad72947-896e-4b9c-b1d9-78d87aeead97", - "metadata": { - "ExecuteTime": { - "end_time": "2024-08-30T21:47:15.423987Z", - "start_time": "2024-08-30T21:47:15.401380Z" - } - }, - "source": [ - "# Verifier also allows for reading in previously generated observables:\n", - "\n", - "observables_df = verifier.read_observables(csv_name)\n", - "\n", - "observables_df" - ], - "outputs": [ - { - "data": { - "text/plain": [ - " CT_copasi CT_tellurium Reaction2_copasi Reaction2_tellurium \\\n", - "0 1.0 1.0 0.000000 0.000000 \n", - "1 1.0 1.0 747.874639 747.874639 \n", - "2 1.0 1.0 746.439461 746.439461 \n", - "3 1.0 1.0 745.041700 745.041700 \n", - "4 1.0 1.0 743.678285 743.678285 \n", - "... ... ... ... ... \n", - "996 1.0 1.0 817.206900 817.205309 \n", - "997 1.0 1.0 816.037978 816.036391 \n", - "998 1.0 1.0 814.871859 814.870276 \n", - "999 1.0 1.0 813.708550 813.706971 \n", - "1000 1.0 1.0 812.548059 812.546484 \n", - "\n", - " Reaction5_copasi Reaction5_tellurium Reaction7_copasi \\\n", - "0 0.0 0.0 0.0 \n", - "1 0.0 0.0 0.0 \n", - "2 0.0 0.0 0.0 \n", - "3 0.0 0.0 0.0 \n", - "4 0.0 0.0 0.0 \n", - "... ... ... ... \n", - "996 0.0 0.0 0.0 \n", - "997 0.0 0.0 0.0 \n", - "998 0.0 0.0 0.0 \n", - "999 0.0 0.0 0.0 \n", - "1000 0.0 0.0 0.0 \n", - "\n", - " Reaction7_tellurium YP_copasi YP_tellurium ... pcyclin_cdc2_copasi \\\n", - "0 0.0 0.000000 0.000000 ... 0.000000 \n", - "1 0.0 0.000021 0.000021 ... 0.000429 \n", - "2 0.0 0.000081 0.000081 ... 0.000821 \n", - "3 0.0 0.000174 0.000174 ... 0.001180 \n", - "4 0.0 0.000295 0.000295 ... 0.001510 \n", - "... ... ... ... ... ... \n", - "996 0.0 0.004835 0.004835 ... 0.003283 \n", - "997 0.0 0.004874 0.004874 ... 0.003312 \n", - "998 0.0 0.004913 0.004913 ... 0.003340 \n", - "999 0.0 0.004952 0.004952 ... 0.003368 \n", - "1000 0.0 0.004992 0.004992 ... 0.003396 \n", - "\n", - " pcyclin_cdc2_tellurium Reaction1_copasi Reaction1_tellurium \\\n", - "0 0.000000 0.000000 0.000000 \n", - "1 0.000429 0.000429 0.000429 \n", - "2 0.000821 0.000821 0.000821 \n", - "3 0.001180 0.001180 0.001180 \n", - "4 0.001510 0.001510 0.001510 \n", - "... ... ... ... \n", - "996 0.003284 0.003283 0.003284 \n", - "997 0.003312 0.003312 0.003312 \n", - "998 0.003340 0.003340 0.003340 \n", - "999 0.003368 0.003368 0.003368 \n", - "1000 0.003396 0.003396 0.003396 \n", - "\n", - " cell_copasi cell_tellurium total_cyclin_copasi \\\n", - "0 1.0 1.0 0.25 \n", - "1 1.0 1.0 0.25 \n", - "2 1.0 1.0 0.25 \n", - "3 1.0 1.0 0.25 \n", - "4 1.0 1.0 0.25 \n", - "... ... ... ... \n", - "996 1.0 1.0 0.25 \n", - "997 1.0 1.0 0.25 \n", - "998 1.0 1.0 0.25 \n", - "999 1.0 1.0 0.25 \n", - "1000 1.0 1.0 0.25 \n", - "\n", - " total_cyclin_tellurium Time_copasi Time_tellurium \n", - "0 0.250000 0.0 0.0 \n", - "1 0.251500 0.1 0.1 \n", - "2 0.252997 0.2 0.2 \n", - "3 0.254489 0.3 0.3 \n", - "4 0.255975 0.4 0.4 \n", - "... ... ... ... \n", - "996 0.186908 99.6 99.6 \n", - "997 0.188117 99.7 99.7 \n", - "998 0.189323 99.8 99.8 \n", - "999 0.190527 99.9 99.9 \n", - "1000 0.191729 100.0 100.0 \n", - "\n", - "[1001 rows x 46 columns]" - ], - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
CT_copasiCT_telluriumReaction2_copasiReaction2_telluriumReaction5_copasiReaction5_telluriumReaction7_copasiReaction7_telluriumYP_copasiYP_tellurium...pcyclin_cdc2_copasipcyclin_cdc2_telluriumReaction1_copasiReaction1_telluriumcell_copasicell_telluriumtotal_cyclin_copasitotal_cyclin_telluriumTime_copasiTime_tellurium
01.01.00.0000000.0000000.00.00.00.00.0000000.000000...0.0000000.0000000.0000000.0000001.01.00.250.2500000.00.0
11.01.0747.874639747.8746390.00.00.00.00.0000210.000021...0.0004290.0004290.0004290.0004291.01.00.250.2515000.10.1
21.01.0746.439461746.4394610.00.00.00.00.0000810.000081...0.0008210.0008210.0008210.0008211.01.00.250.2529970.20.2
31.01.0745.041700745.0417000.00.00.00.00.0001740.000174...0.0011800.0011800.0011800.0011801.01.00.250.2544890.30.3
41.01.0743.678285743.6782850.00.00.00.00.0002950.000295...0.0015100.0015100.0015100.0015101.01.00.250.2559750.40.4
..................................................................
9961.01.0817.206900817.2053090.00.00.00.00.0048350.004835...0.0032830.0032840.0032830.0032841.01.00.250.18690899.699.6
9971.01.0816.037978816.0363910.00.00.00.00.0048740.004874...0.0033120.0033120.0033120.0033121.01.00.250.18811799.799.7
9981.01.0814.871859814.8702760.00.00.00.00.0049130.004913...0.0033400.0033400.0033400.0033401.01.00.250.18932399.899.8
9991.01.0813.708550813.7069710.00.00.00.00.0049520.004952...0.0033680.0033680.0033680.0033681.01.00.250.19052799.999.9
10001.01.0812.548059812.5464840.00.00.00.00.0049920.004992...0.0033960.0033960.0033960.0033961.01.00.250.191729100.0100.0
\n", - "

1001 rows × 46 columns

\n", - "
" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], - "execution_count": 11 - }, - { - "cell_type": "code", - "id": "4a40db87-3f2f-4415-941b-78d650fd60f0", - "metadata": { - "ExecuteTime": { - "end_time": "2024-08-30T21:49:42.741649Z", - "start_time": "2024-08-30T21:49:41.915266Z" - } - }, - "source": [ - "# visualize multiple aspects of the verification result including: observables data, mean square error for each observable (for each simulator)... \n", - " # ...or in this case, RMSE results for each simulator accross all observables\n", - "\n", - "verifier.visualize_rmse(verification_result['content']['job_id'])" - ], - "outputs": [ - { - "data": { - "text/plain": [ - "
" - ], - "image/png": "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" - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "execution_count": 13 - }, - { - "cell_type": "code", - "id": "a73bcb50-4887-4c22-8e01-71ec722edab5", - "metadata": { - "ExecuteTime": { - "end_time": "2024-08-30T17:17:47.986178Z", - "start_time": "2024-08-30T17:17:46.070195Z" - } - }, - "source": "rmse = verifier.get_rmse('verification-utc_comparison_omex-226e6040-e295-442e-a307-233d932c51bd')", - "outputs": [], - "execution_count": 5 - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2024-08-30T17:17:49.270534Z", - "start_time": "2024-08-30T17:17:49.268120Z" - } - }, - "cell_type": "code", - "source": "rmse", - "id": "850d2d7ed40858eb", - "outputs": [ - { - "data": { - "text/plain": [ - "{'amici': {'amici': 0.0,\n", - " 'copasi': 0.027155406522879965,\n", - " 'tellurium': 0.002671429272379995},\n", - " 'copasi': {'amici': 0.027155406522879965,\n", - " 'copasi': 0.0,\n", - " 'tellurium': 0.027145472648917392},\n", - " 'tellurium': {'amici': 0.002671429272379995,\n", - " 'copasi': 0.027145472648917392,\n", - " 'tellurium': 0.0}}" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "execution_count": 6 - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2024-08-30T18:01:09.519184Z", - "start_time": "2024-08-30T18:01:09.514718Z" - } - }, - "cell_type": "code", - "source": [ - "def visualize_rmse(job_id: str, size_dimensions: tuple[int, int] = None, color_mapping: list[str] = None):\n", - " import matplotlib.pyplot as plt\n", - " import seaborn as sns\n", - " \n", - " # extract data \n", - " rmse_data = verifier.get_rmse(job_id)\n", - " simulators = list(rmse_data.keys())\n", - " n_simulators = len(simulators)\n", - " if color_mapping is None:\n", - " color_mapping = ['#1E3A8A', '#D97706']\n", - " \n", - " # set up figure\n", - " size_dimensions = size_dimensions or (8, 6)\n", - " plt.figure(figsize=size_dimensions)\n", - " sns.heatmap(\n", - " data=[list(v.values()) for s, v in rmse.items()],\n", - " annot=True,\n", - " xticklabels=simulators,\n", - " yticklabels=simulators,\n", - " cmap=color_mapping,\n", - " linewidths=1\n", - " )\n", - " \n", - " # set up plot annotations\n", - " plt.title('Pairwise Root Mean Square Error Between Simulators')\n", - " plt.tight_layout()\n", - " plt.show()" - ], - "id": "373f8b187813321c", - "outputs": [], - "execution_count": 39 - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2024-08-30T18:01:12.185967Z", - "start_time": "2024-08-30T18:01:11.065408Z" - } - }, - "cell_type": "code", - "source": "visualize_rmse(job_id='verification-utc_comparison_omex-226e6040-e295-442e-a307-233d932c51bd')", - "id": "6c9e7fe728f37202", - "outputs": [ - { - "data": { - "text/plain": [ - "
" - ], - "image/png": "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" - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "execution_count": 40 - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2024-08-30T17:32:14.266986Z", - "start_time": "2024-08-30T17:32:14.263187Z" - } - }, - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "\n", - "dir(plt)" - ], - "id": "dffa48cd1fbc270a", - "outputs": [ - { - "data": { - "text/plain": [ - "['AbstractContextManager',\n", - " 'Annotation',\n", - " 'Arrow',\n", - " 'Artist',\n", - " 'AutoLocator',\n", - " 'AxLine',\n", - " 'Axes',\n", - " 'BackendFilter',\n", - " 'Button',\n", - " 'Circle',\n", - " 'Colormap',\n", - " 'Enum',\n", - " 'ExitStack',\n", - " 'Figure',\n", - " 'FigureBase',\n", - " 'FigureCanvasBase',\n", - " 'FigureManagerBase',\n", - " 'FixedFormatter',\n", - " 'FixedLocator',\n", - " 'FormatStrFormatter',\n", - " 'Formatter',\n", - " 'FuncFormatter',\n", - " 'GridSpec',\n", - " 'IndexLocator',\n", - " 'Line2D',\n", - " 'LinearLocator',\n", - " 'Locator',\n", - " 'LogFormatter',\n", - " 'LogFormatterExponent',\n", - " 'LogFormatterMathtext',\n", - " 'LogLocator',\n", - " 'MaxNLocator',\n", - " 'MouseButton',\n", - " 'MultipleLocator',\n", - " 'Normalize',\n", - " 'NullFormatter',\n", - " 'NullLocator',\n", - " 'PolarAxes',\n", - " 'Polygon',\n", - " 'Rectangle',\n", - " 'ScalarFormatter',\n", - " 'Slider',\n", - " 'Subplot',\n", - " 'SubplotSpec',\n", - " 'TYPE_CHECKING',\n", - " 'Text',\n", - " 'TickHelper',\n", - " 'Widget',\n", - " '_NO_PYPLOT_NOTE',\n", - " '_REPL_DISPLAYHOOK',\n", - " '_ReplDisplayHook',\n", - " '__annotations__',\n", - " '__builtins__',\n", - " '__cached__',\n", - " '__doc__',\n", - " '__file__',\n", - " '__loader__',\n", - " '__name__',\n", - " '__package__',\n", - " '__spec__',\n", - " '_add_pyplot_note',\n", - " '_api',\n", - " '_auto_draw_if_interactive',\n", - " '_backend_mod',\n", - " '_color_sequences',\n", - " '_colormaps',\n", - " '_copy_docstring_and_deprecators',\n", - " '_docstring',\n", - " '_draw_all_if_interactive',\n", - " '_get_backend_mod',\n", - " '_get_pyplot_commands',\n", - " '_log',\n", - " '_pylab_helpers',\n", - " '_warn_if_gui_out_of_main_thread',\n", - " 'acorr',\n", - " 'angle_spectrum',\n", - " 'annotate',\n", - " 'annotations',\n", - " 'arrow',\n", - " 'autoscale',\n", - " 'autumn',\n", - " 'axes',\n", - " 'axhline',\n", - " 'axhspan',\n", - " 'axis',\n", - " 'axline',\n", - " 'axvline',\n", - " 'axvspan',\n", - " 'backend_registry',\n", - " 'bar',\n", - " 'bar_label',\n", - " 'barbs',\n", - " 'barh',\n", - " 'bone',\n", - " 'box',\n", - " 'boxplot',\n", - " 'broken_barh',\n", - " 'cast',\n", - " 'cbook',\n", - " 'cla',\n", - " 'clabel',\n", - " 'clf',\n", - " 'clim',\n", - " 'close',\n", - " 'cm',\n", - " 'cohere',\n", - " 'color_sequences',\n", - " 'colorbar',\n", - " 'colormaps',\n", - " 'connect',\n", - " 'contour',\n", - " 'contourf',\n", - " 'cool',\n", - " 'copper',\n", - " 'csd',\n", - " 'cycler',\n", - " 'delaxes',\n", - " 'disconnect',\n", - " 'draw',\n", - " 'draw_all',\n", - " 'draw_if_interactive',\n", - " 'ecdf',\n", - " 'errorbar',\n", - " 'eventplot',\n", - " 'figaspect',\n", - " 'figimage',\n", - " 'figlegend',\n", - " 'fignum_exists',\n", - " 'figtext',\n", - " 'figure',\n", - " 'fill',\n", - " 'fill_between',\n", - " 'fill_betweenx',\n", - " 'findobj',\n", - " 'flag',\n", - " 'functools',\n", - " 'gca',\n", - " 'gcf',\n", - " 'gci',\n", - " 'get',\n", - " 'get_backend',\n", - " 'get_cmap',\n", - " 'get_current_fig_manager',\n", - " 'get_figlabels',\n", - " 'get_fignums',\n", - " 'get_plot_commands',\n", - " 'get_scale_names',\n", - " 'getp',\n", - " 'ginput',\n", - " 'gray',\n", - " 'grid',\n", - " 'hexbin',\n", - " 'hist',\n", - " 'hist2d',\n", - " 'hlines',\n", - " 'hot',\n", - " 'hsv',\n", - " 'importlib',\n", - " 'imread',\n", - " 'imsave',\n", - " 'imshow',\n", - " 'inferno',\n", - " 'inspect',\n", - " 'install_repl_displayhook',\n", - " 'interactive',\n", - " 'ioff',\n", - " 'ion',\n", - " 'isinteractive',\n", - " 'jet',\n", - " 'legend',\n", - " 'locator_params',\n", - " 'logging',\n", - " 'loglog',\n", - " 'magma',\n", - " 'magnitude_spectrum',\n", - " 'margins',\n", - " 'matplotlib',\n", - " 'matshow',\n", - " 'minorticks_off',\n", - " 'minorticks_on',\n", - " 'mlab',\n", - " 'new_figure_manager',\n", - " 'nipy_spectral',\n", - " 'np',\n", - " 'overload',\n", - " 'pause',\n", - " 'pcolor',\n", - " 'pcolormesh',\n", - " 'phase_spectrum',\n", - " 'pie',\n", - " 'pink',\n", - " 'plasma',\n", - " 'plot',\n", - " 'plot_date',\n", - " 'polar',\n", - " 'prism',\n", - " 'psd',\n", - " 'quiver',\n", - " 'quiverkey',\n", - " 'rc',\n", - " 'rcParams',\n", - " 'rcParamsDefault',\n", - " 'rcParamsOrig',\n", - " 'rc_context',\n", - " 'rcdefaults',\n", - " 'rcsetup',\n", - " 'rgrids',\n", - " 'savefig',\n", - " 'sca',\n", - " 'scatter',\n", - " 'sci',\n", - " 'semilogx',\n", - " 'semilogy',\n", - " 'set_cmap',\n", - " 'set_loglevel',\n", - " 'setp',\n", - " 'show',\n", - " 'specgram',\n", - " 'spring',\n", - " 'spy',\n", - " 'stackplot',\n", - " 'stairs',\n", - " 'stem',\n", - " 'step',\n", - " 'streamplot',\n", - " 'style',\n", - " 'subplot',\n", - " 'subplot2grid',\n", - " 'subplot_mosaic',\n", - " 'subplot_tool',\n", - " 'subplots',\n", - " 'subplots_adjust',\n", - " 'summer',\n", - " 'suptitle',\n", - " 'switch_backend',\n", - " 'sys',\n", - " 'table',\n", - " 'text',\n", - " 'thetagrids',\n", - " 'threading',\n", - " 'tick_params',\n", - " 'ticklabel_format',\n", - " 'tight_layout',\n", - " 'time',\n", - " 'title',\n", - " 'tricontour',\n", - " 'tricontourf',\n", - " 'tripcolor',\n", - " 'triplot',\n", - " 'twinx',\n", - " 'twiny',\n", - " 'uninstall_repl_displayhook',\n", - " 'violinplot',\n", - " 'viridis',\n", - " 'vlines',\n", - " 'waitforbuttonpress',\n", - " 'winter',\n", - " 'xcorr',\n", - " 'xkcd',\n", - " 'xlabel',\n", - " 'xlim',\n", - " 'xscale',\n", - " 'xticks',\n", - " 'ylabel',\n", - " 'ylim',\n", - " 'yscale',\n", - " 'yticks']" - ] - }, - "execution_count": 28, - "metadata": {}, - "output_type": "execute_result" - } - ], - "execution_count": 28 - }, - { - "metadata": {}, - "cell_type": "code", - "outputs": [], - "execution_count": null, - "source": "", - "id": "3e6f0f4fa38d89d5" - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.14" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -}