{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Calculating topographic factors from vtm" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Define S1 probes" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(S1Probe(p1=[1.0, 10.0, 1.0], p2=[1.0, 10.0, 40.0], numPoints=1000),\n", " S1Probe(p1=[10.0, 10.0, 1.0], p2=[10.0, 10.0, 40.0], numPoints=1000))" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from cfdmod.use_cases.s1.probe import S1Probe\n", "import pathlib\n", "\n", "field_data_path = pathlib.Path(\"./fixtures/tests/s1/vtm/example.vtm\")\n", "\n", "pitot_probe = S1Probe(p1=[1, 10, 1], p2=[1, 10, 40], numPoints=1000)\n", "example_probe = S1Probe(p1=[10, 10, 1], p2=[10, 10, 40], numPoints=1000)\n", "\n", "pitot_probe, example_probe" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Extract data from multiblock dataset" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(array([-0.00102558, -0.00102558, -0.00102558, -0.00102558, -0.00102558,\n", " -0.00102558, -0.00102558, -0.00102558, -0.00102558, -0.00102558],\n", " dtype=float32),\n", " array([0.00672358, 0.00672358, 0.00672358, 0.00672358, 0.00672358,\n", " 0.00672358, 0.00672358, 0.00672358, 0.00672358, 0.00672358],\n", " dtype=float32))" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from cfdmod.api.vtk.probe_vtm import read_vtm, create_line, probe_over_line, get_array_from_filter\n", "\n", "reader = read_vtm(field_data_path)\n", "\n", "pitot_line = create_line(pitot_probe.p1, pitot_probe.p2, pitot_probe.numPoints - 1)\n", "probe_line = create_line(example_probe.p1, example_probe.p2, example_probe.numPoints - 1)\n", "\n", "pitot_filter = probe_over_line(pitot_line, reader)\n", "probe_filter = probe_over_line(probe_line, reader)\n", "\n", "pitot_data = get_array_from_filter(pitot_filter, array_lbl=\"ux\")\n", "probe_data = get_array_from_filter(probe_filter, array_lbl=\"ux\")\n", "\n", "pitot_data[:10], probe_data[:10]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Create profiles from extracted data" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "from cfdmod.use_cases.s1.profile import Profile\n", "import numpy as np\n", "\n", "pitot_heights = np.linspace(pitot_probe.p1[2], pitot_probe.p2[2], pitot_probe.numPoints)\n", "probe_heights = np.linspace(example_probe.p1[2], example_probe.p2[2], example_probe.numPoints)\n", "\n", "pitot_profile = Profile(heights=pitot_heights, values=pitot_data, label=\"Pitot\")\n", "probe_profile = Profile(heights=probe_heights, values=probe_data, label=\"Example probe\")\n", "\n", "pitot_profile.smoothen_values()\n", "probe_profile.smoothen_values()\n", "\n", "s1_profile = probe_profile / pitot_profile" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Plotting Velocity Profiles extracted" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAeYAAAHmCAYAAACmky3PAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy81sbWrAAAACXBIWXMAABJ0AAASdAHeZh94AABtxklEQVR4nO3dd3hUVeLG8e+k90CAQAi9d0Ivq4CCShVUEFhRYVXcFcuuil0R/cHKiogroFhBRFZULCCCFSx0FKQKAWkhENJIr3N/fwzMZEghmWQyk+T9PE8e55577r1nuMKbc8s5JsMwDERERMQteLi6ASIiImKjYBYREXEjCmYRERE3omAWERFxIwpmERERN6JgFhERcSMKZhERETeiYBYREXEjCmYRERE3omAWERFxI16ubkBZJScns3HjRho3boyvr6+rmyMiIlKs7OxsTp48ycCBA6lVq1aptqlywbxx40bGjBnj6maIiIiU2meffcbo0aNLVbfKBXPjxo0By5ds1aqV046zYsUKJk6c6LT9S/npHLk/nSP3p3PkXNHR0YwZM8aaXaVR5YL54uXrVq1a0bFjR6cdJyIiwqn7l/LTOXJ/OkfuT+eocpTl1qse/hIREXEjCmYRERE3omAWERFxIwpmERERN6JgFhERcSMK5mKMGzfO1U2Qy9A5EpHqSMEsIiLiRhTMIiIibkTBLCIi4kYUzCIiIm5EwSwiIuJGKiyYZ82ahclkolOnToXWbdq0iSuuuIKAgAAaNGjA/fffT1paWkUdWkREpNqokGA+deoUs2fPJjAwsNC6Xbt2MXjwYDIyMpg3bx533nknb7zxhl51caLJkyfTrFkzVzdDREQcUCHB/PDDD9O3b1969uxZaN0TTzxB7dq12bBhA3//+9/5v//7PxYsWMC6dev4+uuvK+LwNcqSJUswmUzWHz8/P9q0acO9997L2bNni9wmIyODZ599lg0bNjh83E2bNvHss8+SnJzs8D5EROTyyh3MP/74Ix9//DHz588vtC4lJYVvvvmGSZMmERISYi2/7bbbCAoKYuXKleU9fI313HPPsWzZMhYsWED//v157bXX6NevHxkZGbz55pv88ccf1roZGRnMnDmz3ME8c+ZMBbOIlI1hkPTlsyyb9zC/ffZfcvZ8Ckc3QMyvkHAE0hMgP9fVrXQr5ZqPOT8/n/vuu48777yTzp07F1q/Z88e8vLyCvWkfXx8iIqK4rfffitx/3FxcZw7d86uLDo6ujxNrjaGDRtm/XO98847qVOnDvPmzePzzz/XpOci4j5yM6m9/WVuBdh14aco3gHgFwpB9aH3VOh2S2W10O2UK5hff/11jh8/zrffflvk+tjYWMAyEfelIiIi+Omnn0rc/6JFi5g5c2aR61asWFHkfqFihmrMy8sjLi6u3PupaCkpKQAkJibata979+6A5Zehzz//nE2bNrFjxw5OnDhBr169AJg5c6b1z/Phhx9m+vTpAPz000+8+OKL/P7773h7e9OvXz+eeuop2rRpA8CLL77I3LlzAWjevLn1mNu3b6dJkyZO/sbFc9dzVBk++ugjVzehVJKSkli4cKGrmyElcPY58s1P4c7SVMzNsPykxsLn97Djm5VsDbgGTCanta0yXMzBsnA4mBMSEnjmmWd4+umnqVevXpF1MjMzAfD19S20zs/Pz7q+OPfcc0+hkI2OjmbMmDFMnDiRjh07Otj6y4uLiyM8PNxp+3fUxVsCYWFhdu1LSEgAoGnTppw+fRoPDw/Cw8MJDAzktdde4x//+Ac33HADN954IwBdunQhPDycb7/9lgkTJtCiRQtmzpxJZmYmr776Ktdffz2//vorzZo149ZbbyUmJoYVK1bw8ssvU7duXQDat29f5AN/lcVdz1FlmDZtmqubUCoLFy6sMm2tqZx9jrLP/UnSkpVkpyURQgYBpuxSbdczYwM9O7eHof+u0uG8b98+Zs2aVaZtHA7mp556irCwMO67775i6/j7+wOQnV34RGRlZVnXFyc8PLzG/sN7OefPnyc+Pp6srCx++eUXnnvuOfz9/Rk5ciSbN2+21gsMDGTs2LH84x//oEuXLkyaNMluP9OnTycsLIzNmzcTFhYGwJgxY+jWrRszZsxg6dKldOnShe7du7NixQrGjBmjJ75FpNR86zXHd/pv7DyeRN/XNuFFHsFk8NXfu9LAOwuyzkN2iuW/aWfhp3mWnjPA1tcgJw1GvQIenq79IpXIoWA+fPgwb7zxBvPnz+f06dPW8qysLHJzczl27BghISHWS81FdeVjY2Np2LChg812zMzV+9h/OqVUdXNzc/H2PuK0tnRoGMKMUY73+IcMGWK33LRpU5YvX05kZGSp9xEbG8uuXbt45JFHrKEMlt70Nddcw9q1ax1un4hIQZk5+QDk4UUSIfiFt4IAn8IVm10Jy8dZwhrgt2WWoL5hMXh6V2KLXcehYI6JicFsNnP//fdz//33F1rfvHlzHnjgAWbOnImXlxc7duzg5ptvtq7Pyclh165ddmWVYf/pFLb+mVipx3SWhQsX0qZNG7y8vKhfvz5t27bFw6NsD9kfP34cgLZt2xZa1759e9avX096erpLL1eLSPWQnpNnt+zvU0wPuElfuP0LWHYjZF7493rvJ5CbCWPfBW8/J7fU9RwK5k6dOvHpp58WKn/qqadITU3llVdeoWXLloSGhjJkyBDef/99nn76aYKDgwFYtmwZaWlplT7ISIeGIZevdIGlx+y8387K0pai9O7du8j3xkVE3NHFHjOAl4cJH88SOhINu8GUtfDeaMvlbYA/1sKKCTBhOfhU786CQ8Fct25dxowZU6j84rvMBdfNmjWL/v37M3DgQKZOncqpU6d46aWXuPbaaxk6dKgjh3dYWS4dV6cHi0zFPDjRtGlTALt3ni86ePAgdevWtfaWi9uHiEhpFOwxB/h4Xv7flPD2MOUrSzifP2kpO/oDvH8T/PVDy6tV1ZTTJ7Ho3r073377Lf7+/vzrX//ijTfe4I477uDjjz929qHlgoCAAIBCg4NEREQQFRXF0qVL7dbt3buXr7/+muHDh1vLLga0BhgREUdkZNt6zAE+pewT1mlpCeewlrayE5th6fWQUT1uSxalXO8xX6q4kaWuuOIKfvnll4o8lJSBv78/HTp04MMPP6RNmzaEhYXRqVMnOnXqxIsvvsiwYcPo168fd9xxh/V1qdDQUJ599lnrPnr06AHAk08+yYQJE/D29mbUqFG6/ywipWLXY/YtwxPWtRpbwnnZGIjbbymL3QVLRsCtn0Fw/YpsplvQtI81xFtvvUVkZCT/+te/mDhxovWKxZAhQ1i3bh116tThmWeeYe7cufTt25dffvnFbjCRXr168fzzz7N7924mT57MxIkTC43KJiJSnIwC95gDS9tjvii4Pkz+EiKibGVx++HdoXD+VMU00I1UaI9ZnG/y5MlMnjy5xDpLliwpVNavXz927NhRZP3BgwczePDgyx77qaee4qmnnipNM0VE7KRm2XrMxT6RXZKAMMvT2h+Mt1zOBkg8Cu+Ngb+tg8C6FdNQN6Aes4iION3vp5KtnyNrlTy4VLH8QmHSJ9DiKltZwmHLA2FZpRujoipQMIuIiFMlZ+SwP9YWnH1bhJVQ+zJ8AmHi/6D5AFtZ7C74318hN8vx/boRBbOIiDjVtj8TMQzbcr8W5bzs7O0HEz6wvO980bGf4JM7ID+v+O2qCAWziIg41eajCdbPkbX8aRzm4KXsgnyD4ZZPoE5rW9nBNbD6Aex+C6iCFMwiIuJUm4/YgrlvizoVN2BRYB247TMIaWQr2/U+fP1UlQ5nBbOIiDhNYnoOB8+kWpf7taxTsQcIbQS3fgoBBfa7eQH8/HLFHqcSKZhFRMRptha4jA1OCGaAem3glo/BJ8hW9t1M2Lmk4o9VCRTMIiLiNFsKBHOTsADHX5W6nMjuMHEFeBaYSnLNv2DfZ845nhMpmEVExGkKPvjVr4UTessFNR9gmRrSdCHaDDN8cicc+d65x61gCmYREXGK+LRsDp1Nsy73bVmO95dLq/1IuP5V27I5F/43Cc7ud/6xK4iCWUREnOKLXaftlsv9/nJpdZsE1zxvW85Nh4//BjkZlXP8clIwi1vZsGEDJpOp2JnK3NmxY8cwmUzMnTvX1U0RcTmz2WDZluPW5V7NatMg1K/yGvCX+6HvNNvyuQPw9ZOVd/xyUDBXIUuWLMFkMhX7s2XLFlc3UUQEgJ+j4/kzPt26fFu/ZpXfiGtmQmQP2/KOd2D/55XfjjLS7FJV0HPPPWc3JeNFrVq1ckFrREQKe2/zMevnesG+XNexQeU3wtMbbnobXr8Sci68S/3FfdCwu2WeZzelYK6Chg0bRs+ePV3djBohIyODgIAAVzdDpEo5mZjBdwfjrMt/7d0EHy8XXaANaw6j5lvG0QbIOg+r7oLb14Cne0agLmVXQzNmzMDDw4PvvvvOrnzq1Kn4+Piwe/duAHJycnjmmWfo0aMHoaGhBAYGcuWVV/LDDz/YbVfw3unChQtp0aIFAQEBXHvttZw8eRLDMHj++edp1KgR/v7+jB49msTERLt9NGvWjJEjR/L1118TFRWFn58fHTp0YNWqVaX6Tlu3bmXo0KGEhoYSEBDAwIED2bZt22W3u3jP+sMPP+SJJ56gQYMGBAYGcv3113Py5Em7uoMGDaJTp07s3LmTAQMGEBAQwBNPPAFAXFwcd9xxB/Xr18fPz4+uXbuydOnSYo/78ssv07RpU/z9/Rk4cCB79+4tVOfgwYOMHTuWsLAw/Pz86NmzJ1988UWp/jxE3Nn7W49bR8T08jDx1z5NXNugzmMh6hbb8onN8OOLrmvPZSiYq6Dz588THx9v95OQYHtX8KmnniIqKoo77riD1FTL5Zv169fz5ptv8swzz9C1a1cAUlJSeOuttxg0aBBz5szh2Wef5dy5c1x33XXs2rWr0HGXL1/OokWLuO+++3jooYfYuHEjN998M0899RTr1q3j0UcfZerUqaxevZqHH3640PaHDx9m/PjxDBs2jH//+994eXkxbtw4vvnmmxK/7/fff8+AAQNISUlhxowZzJ49m+TkZG666aZShTPArFmz+PLLL3n00Ue5//77+eabbxgyZAiZmZl29RISEhg2bBhRUVHMnz+fq666iszMTAYNGsSyZcu45ZZbePHFFwkNDWXy5Mm88sorhY713nvv8d///pdp06bx+OOPs3fvXq6++mrOnj1rrbNv3z769u3LgQMHeOyxx3jppZcIDAxkzJgxfPrpp6X6TiLuKCs3n5Xbbb/0XtepAfVDKvGhr+IM+w+EtbQt//gfOPaz69pTEqOK2bt3rwEYe/fudepxzp4969T9O+Ldd981gCJ/fH197eru2bPH8PHxMe68804jKSnJiIyMNHr27Gnk5uZa6+Tl5RnZ2dl22yUlJRn169c3/va3v1nL/vzzTwMw6tWrZyQnJ1vLH3/8cQMwunbtarffiRMnGj4+PkZWVpa1rGnTpgZgfPLJJ9ay8+fPGxEREUa3bt2sZT/88IMBGD/88INhGIZhNpuN1q1bG9ddd51hNput9TIyMowmTZoY11xzTYl/Zhf3FxkZaaSkpFjLV65caQDGK6+8Yi0bOHCgARivv/663T7mz59vAMb7779vLcvJyTH69etnBAUFWfd78c/J39/fOHXqlLXu1q1bDcD417/+ZS0bPHiw0blzZ7s/I7PZbPTv399o3bp1id+pKlmwYIGrmyCXUdHnaOX2E0bTR9dYf7Ycia/Q/ZdLzG+GMbOOYcwIsfy81N4w0hOcekhHMss9L7A7y1ePwZk9papaKzcHvH0uX9FRDTrDsBcc2nThwoW0adPGrszT09NuuVOnTsycOZPHH3+c33//nfj4eL7++mu8vLzstrm4ndlsJjk5GbPZTM+ePfn1118LHXfcuHGEhoZal/v06QPApEmT7Pbbp08fVqxYQUxMDC1atLCWN2zYkBtuuMG6HBISwm233cacOXM4c+YMDRoUfjhk165dHD58mKeeesruqgDAlVdeyccff4zZbMbDo+SLP7fddhvBwcHW5bFjxxIREcHatWu5//77reW+vr5MmTLFbtu1a9fSoEEDJk6caC3z9vbm/vvvZ+LEiWzcuJGRI0da140ZM4bIyEjrcu/evenTpw9r165l3rx5JCYm8v333/Pcc8+RmppqvaoBcN111zFjxgxiYmLs9iFSFRiGwXubba9ItWsQTO/mlTCoSGk1jLI8qb3ecouKlBjLw2Dj34eKmvGqAtSsYD6zB46X7tKFEyO53Hr37l2qh7+mT5/O//73P7Zt28bs2bPp0KFDoTpLly7lpZde4uDBg+Tm5lrLi3rqu0kT+/tEF0O6cePGRZYnJSXZlbdq1arQdG8Xf8E4duxYkcF8+PBhAG6//faivySWS/u1a9cudj1A69at7ZZNJhOtWrXi2LFjduWRkZH4+Nif/ePHj9O6detC4d++fXvr+pKOBZbvuXLlSgCio6MxDIOnn36ap59+usj2xsXFKZilytl1Mpk9Meety7f2a1pxUzxWlD7/gCM/QPSFW2gH18CvS6HHZJc2q6CaFcwNOpe6ak5uDj7O7jE72dGjR63BtmdP4SsF77//PpMnT2bMmDFMnz6d8PBwPD09+fe//82RI0cK1b+0V365cqMC5kM1m80AvPjii0RFRdmtS0pKonbt2gQFBRWxpWP8/Z00wH4BF7/Tww8/zHXXXVdkHb36JlXRkk3HrJ+D/bwYE+WGv1x6eMCY1+D1v0Dahec+fpwL3W4Fj6L/LatsNSuYy3DpODkujvDwcCc2xrnMZjOTJ08mJCSEf/7zn8yePZuxY8dy4403Wut8/PHHtGjRglWrVtn9VjtjxgyntOliT7HgsQ4dOgRYntouSsuWloc1QkJCGDJkiN26uDKco4u/oFxkGAbR0dF06dLlsts2bdqU33//vdAl84MHD1rXl3QssHzPi9/x4uV9b2/vQt9JpKo6cz6LL3+PtS6P69GYQF83jZigepaHwT66cCXu/Ek4tA7ajXBtuy7QU9nV1Lx589i0aRNvvPEGzz//PP379+cf//gH8fHx1joXe7oFe7Zbt25l8+bNTmnT6dOn7Z44TklJ4b333iMqKqrIy9gAPXr0oGXLlsydO5e0tLRC68+dO1eqY7/33nt293I//vhjYmNjGTZs2GW3HT58OGfOnOHDDz+0luXl5fHqq68SFBTEwIED7ep/9tlnxMTEWJe3bdvG1q1brccKDw9n0KBBLF68mNjYWC5V2u8k4k7e33KcPLPl3xKTCSb3b+baBl1O+1EQWuA23LY3XdeWS7jprzNSkq+++sraWyuof//+tGjRggMHDvD0008zefJkRo0aBViG84yKiuKee+6x3uscOXIkq1at4oYbbmDEiBH8+eefvP7663To0KHIECyvNm3acMcdd7B9+3bq16/PO++8w9mzZ3n33XeL3cbDw4O33nqLYcOG0bFjR6ZMmUJkZCQxMTF8/fXX1KlTh9WrV1/22GFhYVxxxRVMmTKFs2fPMn/+fFq1asVdd9112W2nTp3K4sWLmTx5Mjt37qRZs2Z8/PHH/PLLL8yfP9/uoTKwXIa+4oor+Mc//kF2djbz58+nTp06PPLII9Y6Cxcu5IorrqBz587cddddtGjRgrNnz7J582ZOnTplfddcpCrIys1n+VbbsxbXtK9PkzpuPjCPh6flvvL3Fya7OPoDxEdDXdffRlIwV0HPPPNMkeXvvvsuTZs25fbbb6du3brMnz/fuq5169b8+9//5oEHHmDlypXcfPPNTJ48mTNnzrB48WLWr19Phw4deP/99/noo4+cMolE69atefXVV5k+fTp//PEHzZs358MPPyz2PutFgwYNYvPmzTz//PMsWLCAtLQ0GjRoQNeuXXnggQdKdewnnniC33//nX//+9+kpqYyePBgFi1aVKpRvfz9/dmwYQOPPfYYS5cuJSUlhbZt2/Luu+8yefLkQvVvu+02PDw8mD9/PnFxcfTu3ZsFCxYQERFhrdOhQwd27NjBzJkzWbJkCQkJCYSHh9OtW7diz6+Iu/rstxiSMmwPj/7tisIPj7ql7rfDxjmQn2NZ3vE2DP23a9sEmIyKeEKnEu3bt49OnTqxd+9eOnbs6LTjlOX+pVxes2bN6NSpE2vWrKmwfZbmHG3YsIGrrrqKjz76iLFjx1bYsaV0Fi5cyLRp0y5fUVymvOfIMAyum/+jdd7lDhEhfHn/Fe73NHZxPrkL9liuIuIbCg8dAJ/ACtu9I5mle8wiIuKwX6ITrKEMlt5ylQllgN4Fbmdln4c9H7uuLRcomEVExGHv/PKn9XPdIB9GdY0oobYbatQLGhR4O2P7m+DiC8kKZhERccif8el8X2AWqVv6NMXXyz3eBS41kwl63WlbPrMHTpZuDH5n0cNfUikuHWGrsgwaNKhCBjoRkcKWFOgt+3h6cEtfF88i5ajO4+Cbpy1TQgJsfwua9HFZc9RjFhGRMkvPzuOjnaesy6O6NiQ82A1mkXKETwBETbIt7/vUFtIuoGAWEZEy+2b/WTJy8q3Lbj+gyOVE/dX22ZwL5w65rCkKZhERKbMvdp+2fm4dHkSnyBAXtqYC1G0DpgKRmPRn8XWdTMEsIiJlkpSew4+HbEPHjo5qWLVekSqKlw+ENLItJyqYRUSkivhq7xnruNhgub9cLYQ1s32uaj3mffv2MW7cOFq0aEFAQAB169ZlwIABhcYsnjx5MiaTqdBPu3btKqTxIiJS+T7fZZukpWvjWjStU3EjZblU7QJDibqwx+zQ61LHjx8nNTWV22+/nYYNG5KRkcEnn3zC9ddfz+LFi5k6daq1rq+vL2+99Zbd9qGhoeVrdSX46KOPNJSgm9M5Eql8Z85nse1YonV5dHXpLQOEFQzmoy5rhkPBPHz4cIYPH25Xdu+999KjRw/mzZtnF8xeXl5MmjTp0l2IiEgVtOb309aBsTxMMLJLFRvpqyRhLWyf0+MgOw18gyq9GRV2j9nT05PGjRuTnJxcaF1+fj4pKSkVdSgREXGRz3fZnsbu26IO4SFV9N3lotS+ZFaspGMuaUa5gjk9PZ34+HiOHDnCyy+/zFdffcXgwYPt6mRkZBASEkJoaChhYWFMmzbNKXP9ioiIc/0Zn86eGNvAG6OjqtFlbLC/lA0uewCsXENyPvTQQyxevBiwTGh/4403smDBAuv6iIgIHnnkEbp3747ZbGbdunUsWrSI3bt3s2HDBry8Sj58XFwc586dsyuLjo4uT5NFRMRBXxToLXt7mhjasRpdxgbwDYaAupARb1l20QNg5ZqP+eDBg5w6dYrTp0+zcuVKfHx8eO2116hfv36x28yePZsnn3ySFStWMGHChBL3/+yzzzJz5swi1z355JN2E89XtKSkJGrXru20/Uv56Ry5P50j91eWc/T+2QbE5lguXbfyy+CGenGX2aLqmZD4CnXyzwLwm/8VbAoafpktShYbG8usWbPKNB9zuYL5Utdeey3Jycls3bq12JfNMzMzCQoKYsqUKYWe1r5UcT3mMWPGlOlLOkITvLs/nSP3p3Pk/kp7jnLzzXSasZ7sPDMAz43uyG39mjm5dZUsPw/+HQl5WZbl4XPt52t2wL59++jUqVOZMqtCZ5caO3Ysd999N4cOHaJt27ZF1vH396dOnTokJiYWub6g8PBwwsPDK7KJIiLigENnU62hDNA50v1fey2zhMO2UAb7eZorUYWO/JWZmQnA+fPFz8qRmppKfHw89erVq8hDi4iIE+05Zft33cvDRPuIKj42dlFify+wYIL6zrsqWxKHgjkurvB9hdzcXN577z38/f3p0KEDWVlZpKamFqr3/PPPYxgGQ4cOdeTQIiLiAr8XeBq7Tf1g/Lw9XdgaJzlTIJjrtHLJO8zg4KXsu+++m5SUFAYMGEBkZCRnzpxh+fLlHDx4kJdeeomgoCCOHTtGt27dmDhxonUIzvXr17N27VqGDh3K6NGjK/SLiIiI8xTsMXdtXA0vYwPE7rZ9jnDNZWxwMJjHjx/P22+/zWuvvUZCQgLBwcH06NGDOXPmcP311wNQq1YtRo4cyTfffMPSpUvJz8+nVatWzJ49m4cffhgPD82fISJSFWTn5XPwjG2QqM6RtVzXGGcxDPses4vuL4ODwTxhwoTLvupUq1Ytli1b5lCjRETEfRyMTSU33/YCT5dG1bDHnHwCsgo8H+XCHrO6rSIiUqKC95d9PD1oUz/Yha1xkoK9ZXBpj1nBLCIiJdpzKtn6uX3DEHy8qmF0FHwiO7ghBNZ1WVOq4Z+uiIhUpD/O2uY36NSwGr4mlZsJv39oW3bhZWxQMIuIyGXkFBhYJNTf24UtcZJfXoHk47blDmNc1hRQMIuIyGUUHLm5mNGWq66kY/Dzy7blht2hy3iXNQcUzCIiUgYmqlkyr3uiwDCcJhgxF1z8Oq+CWURESlRwqiOP6pTLh7+BP760LXe/DSJ7uK49FyiYRUSkROaCyVxdrmXnZcNXj9iW/WrB4Bkua05BCmYRESlRwbmBq0ksw6ZXIfGobXnw0xBYx3XtKUDBLCIiJap2D38ln4Qf59qWI7pCjymua88lFMwiIlIi+x5zNUjmr5+EvEzb8vC54OE+s2UpmEVEpGTV6RbzkR9g/+e25ahboHFv17WnCApmEREpUbW5x5xwBD67x7bsGwpDnnVZc4qjYBYRkRKFFBjt63BcWgk13VjiUVg6ClJP28quegKCwl3XpmIomEVEpET9WtieVv45Oh6z2SihthtK/BOWjIKUGFtZ++uh912ua1MJFMwiIlKiAa1tMy0lpuewPzbFha0po6Rjlp5yyilbWftRMPYdt3rgqyAFs4iIlKhHs9r4edvi4sfD51zYmjJIOg5LRsL5k7aydiNh7Lvg6b6TcSiYRUSkRL5envQtcDn7p0PxLmxNKSWfKBzKbUe4fSiDgllERErhytb1rJ93HE8kIyfPha25jOQTsGQEnD9hK2s7HMYtAS8flzWrtBTMIiJyWQXvM+fmG2w9mujC1pQg+aSlp5xcIJTbDINxS6tEKIOCWURESqFVeBANQvysy255n/n8KVg6EpKP28paXwc3V51QBgWziIiUgslk4soCveYfD7lZMJ+PsfSUk47ZylpfC+OXgZevy5rlCAWziIiUypVtbPeZj5xL52RihgtbU0DCEXh3KCT9aStrdQ3cXPVCGRTMIiJSSle0qotHgTE5P9p5qvjKleX0Lnj7Wvt7yi0Hw/j3wduv2M3cmYJZRERKJSzQh6vb1bcu/2/bCXLzza5r0NGNlsvXGQVe32p9LUz4oMqGMiiYRUSkDCb1bWL9HJeazbf7z7qmIfs+g+VjISfVVtZlQpUPZVAwi4hIGQxoXY8mYQHW5WVbjpdQ20m2vw0fTYb8HFtZv3thzGtuP3hIaSiYRUSk1Dw8TNzSx9Zr3nQkgejKmnHKMGDDHPjyQewmo7zmObhuFnhUj0irHt9CREQqzbiejfHxssXH8q2V0Gs2m2HtdNgw21Zm8oDRC+EvDzj/+JVIwSwiImUSFujDiM4R1uVPdp4iMyffeQfMy4FP7oDtb9rKvPxg/HLoNsl5x3URBbOIiJTZpL5NrZ9TsvJYvfu0cw6UnQof3Az7VtnKfEPh1k+h3XDnHNPFFMwiIlJm3ZvUon1EiHXZKQ+BpcfD0uvh6A+2sqD6MGUtNO1f8cdzEwpmEREpM5PJxK0Fes17Ys6z+2RyxR3gfAy8MxRO/2orC2sBd3wNDTpV3HHckIJZREQcMjqqIUG+XtblVb9W0EhgScfh3WGQcNhW1qAL/G091G5WMcdwYwpmERFxSKCvF8M7N7Aub6iIiS0Sj1rmUi44Q1SzK2HylxAUXv79VwEKZhERcdhVbW1heTwhgz/j0x3fWfxheHcEnD9pK2t1DdzyMfiFFL9dNaNgFhERh/2ldV28CsxsseGPOMd2FHfQ0lNOLfB0d9sRMGF5lR9is6wUzCIi4rAQP2+6N61tXd7whwOXs8/stYRyWoFxtzuMhpuXVslpG8vLoWDet28f48aNo0WLFgQEBFC3bl0GDBjA6tWrC9U9cOAAQ4cOJSgoiLCwMG699VbOnXOzCbZFRMRhAwvM07zlaAJZuWUYbOT0Llh6yQxRncbCTe9Ui3GvHeFQMB8/fpzU1FRuv/12XnnlFZ5++mkArr/+et544w1rvVOnTjFgwACio6OZPXs2Dz/8MF9++SXXXHMNOTk5xe1eRESqkEFtbcGcnWdmy9GE0m14aie8dz1kJtnKuv4VbnwDPL2K366ac+ibDx8+nOHD7Udcuffee+nRowfz5s1j6tSpAMyePZv09HR27txJkyaWQc979+7NNddcw5IlS6z1RESk6uoQEUJ4sC9xqdmA5XL2oLaXeYL6xFZ4/yb7aRu73wYjX6k2k1E4qsK+vaenJ40bNyY5Odla9sknnzBy5EhrKAMMGTKENm3asHLlyoo6tIiIuJDJZLK7nL3xcq9NHfsZlt1gH8q97lQoX1CuP4H09HTi4+M5cuQIL7/8Ml999RWDBw8GICYmhri4OHr27Flou969e/Pbb7+V59AiIuJGCvaQ/4xP53hCMa9NHd0A74+F3ALr+06D4XMVyheU6yL+Qw89xOLFiwHw8PDgxhtvZMGCBQDExsYCEBERUWi7iIgIEhMTyc7Oxte3+Cfu4uLiCj0oFh0dXZ4mi4iIE1zRui6eHibyzZZ5kjceOsdt/QLtK53cDh9MgLzMAhv+CwbPAJMJsShXMP/zn/9k7NixnD59mpUrV5Kfn299qCsz0/IHX1Tw+vn5WeuUFMyLFi1i5syZRa5bsWJFkaFfUZKSkli4cKHT9i/lp3Pk/nSO3F9FnqMwz4acM/sAsPr7TaT++qV1XWh+AjclvYa/YQvl7QFXs+1gXfhjUYUc3x1d7KSWRbmCuV27drRr1w6A2267jWuvvZZRo0axdetW/P39AcjOzi60XVZWFoC1TnHuuecexo0bZ1cWHR3NmDFjmDhxIh07dixP80u0cOFCpk2b5rT9S/npHLk/nSP3V5Hn6MtXfuJcbAoAPXt0Z9pQSz6QHg9vDQEjw1Z5wHR6Xf0UvSrkyO5r3759zJo1q0zbVOjz6GPHjuXuu+/m0KFD1t5sUb8txMbGEhYWVmJvGSA8PJzw8JoxNqqISFWXZzZbP3tfHA0sJwM+GA9Jf9oqRt0CVz1Zya2rOir0TvvFy9fnz58nMjKSevXqsWPHjkL1tm3bRlRUVEUeWkREXCw337B+9vL0AHM+fHInxBTIgRZXwahXdE+5BA4Fc1xc4bFQc3Nzee+99/D396dDhw4A3HTTTaxZs4aTJ20Dkn/33XccOnSo0CVqERGp2nLzbT1mLw9g3WPwh+0+M/U7w83v1dgRvUrLoUvZd999NykpKQwYMIDIyEjOnDnD8uXLOXjwIC+99BJBQUEAPPHEE3z00UdcddVVPPDAA6SlpfHiiy/SuXNnpkyZUqFfREREXCuvQI+5e8xyiLaNBElIJNyyskbNEuUoh4J5/PjxvP3227z22mskJCQQHBxMjx49mDNnDtdff721XuPGjdm4cSMPPvggjz32GD4+PowYMYKXXnrpsveXRUSkarl4j3mExxb6Rv/XtsI31DJ1Y0hDF7WsanEomCdMmMCECRNKVbdjx46sX7/ekcOIiEgVkptv0Mt0kHneBV5/8vCGCe9D/Q6ua1gVo2FWRESkQjTJP8GbPi/ha8qzFY5ZBM0HuK5RVZCCWUREyi8nnQWm/1DLVGCozaufhi43u65NVZSCWUREyi3xy5k0NZ21Lp9sMR6ufMiFLaq6FMwiIlI+p3dRa/eb1sVfjTbUGqt3lR2lYBYREcfl52Gsvh8PLE9k5xierGvxBMEBJQ+5LMVTMIuIiOO2vo4pdrd18bX80fyl3xUubFDVp2AWERHHJB2HH2wTNBwxR7DS72b+0rKOCxtV9SmYRUSk7AwDvnwQcm0zRj2eeycjujezjJMtDtOfnoiIlN3eTyD6W+viB3lXsc1oz43dI13YqOpBwSwiImWTkWiZoOKCc0YoL+RNpGPDENo10FjY5aVgFhGRsvnmGUg/Z118Nvd2Ugjixu6NXNio6kPBLCIipXfsZ/htmXXxu/xufGnug6eHieu7apKKiqBgFhGR0jEM+Pop62IGfjyTOxkwMbBNPeoFa9bAiqBgFhGR0vnzRzj9m3Xx5dwbiaEeABN7N3FVq6odBbOIiJTOL69YPyYaQbyfPwSAq9uFM6R9uKtaVe0omEVE5PJif4cj31kXl+ZdRyZ+BPl68X9jOmHSuNgVRsEsIiKXt+m/1o8Zhi9L868F4NGhbWlYS+NiVyQFs4iIlCzpOOxdZV38MH8QyQTTq1ltbunT1IUNq54UzCIiUrLNC8DIByDP8ODt/OH4eHrw7xu74OGhS9gVTcEsIiLFS0+AX23vLa829+OUUY/7B7eiVXiQCxtWfSmYRUSkeNvegLxM6+LivFG0axDM3QNburBR1ZuXqxsgIiJuKicdY9tiLl6s3pDflUM04bOxXfDWDFJOoz9ZEREp2m/vY8pMsi6+nj+KO69sQZdGtVzXphpAPWYRESnMbCZl4wIuzhW1y9yS2Fo9eHdIG5c2qyZQj1lERArZ+d2HhGScsC4vMUYwb3w3/H08XdiqmkE9ZhERsbP5SAL5Py20dt1ijTBGjr+bHk1ru7ZhNYR6zCIiYrXv9HleeO8zrvDYYy07124SQzppruXKomAWEREATiRkcPs72xmX/6W1LM/kQ5fr/+m6RtVACmYREeFcaja3vrOVnLQEbvT82Vru2fVmCKzjwpbVPApmEZEaLjUrl8nvbuN4QgbjPTcQYMq2rjP1/YfrGlZDKZhFRGqwPAPuXraTfadT8CSf272+tq1sdiU06OS6xtVQeipbRKSGyjcbfJlQj0OZCQAM8fiVRqZ4W4U+d7uoZTWbeswiIjWQYRg89dleDmUGWsvu8SvQWw5tAm2Hu6BlomAWEalhDMNg5ur9rNhmG0DkuqBoupr32Sr1vgs8NJiIKyiYRURqEMMweGHdQZZsOmYtC/X3Zl74V7ZKfqHQ4/bKb5wACmYRkRpl/reHWbzxqHXZx2Rm1bA8Ak9vtlXqd58lnMUl9PCXiEgNsWhDNK98d9i6HODjyZjQ07Tcu8pWyb+2HvpyMfWYRURqgLd//pP/rPvDuuzn7cE7k3vRx2M/nNhkq9j/PvALKWIPUlkcCubt27dz77330rFjRwIDA2nSpAk333wzhw4dsqs3efJkTCZToZ927dpVSONFROTylm89zvNr9luXfTw9eOPWnvRtHkbv9G9tFf3DoPdUF7RQCnLoUvacOXP45ZdfGDduHF26dOHMmTMsWLCA7t27s2XLFjp1sr2Q7uvry1tvvWW3fWio7l2IiFSGj3ee4slP91qXvTxMvDapOwPa1IPo74jIsz2ZzV8eAN9gF7RSCnIomB988EE++OADfHx8rGXjx4+nc+fOvPDCC7z//vu2A3h5MWnSpPK3VEREyuSL3ad55OPd1mVPDxOvTuzG4Pb1wTDgh9m2ygF1La9Iics5dCm7f//+dqEM0Lp1azp27MiBAwcK1c/PzyclJcWxFoqISJmt23uGf324C7NhWTaZYN7NXRnWOcJSEP0txOywbfCXB8AnsPCOpNJV2FPZhmFw9uxZOnbsaFeekZFBSEgIGRkZ1K5dm4kTJzJnzhyCgoIuu8+4uDjOnTtnVxYdHV1RTRYRqZZ++COO+1b8Sv7FVAbm3NSF0VGRlgXDgB9m2TYIDIded1ZyK6U4FRbMy5cvJyYmhueee85aFhERwSOPPEL37t0xm82sW7eORYsWsXv3bjZs2ICXV8mHX7RoETNnzixy3YoVK4iIiKio5heSlJTEwoULnbZ/KT+dI/enc1T5EnK9WXY2glzDdkF0SO0Ezm39goVbLcuts3Zzbepv1vU/05Pdb75b2U2tEWJjY8u8jckwDOPy1Up28OBB+vTpQ8eOHfnpp5/w9Cx+GLfZs2fz5JNPsmLFCiZMmFDifovrMY8ZM4a9e/cW6p1XpIULFzJt2jSn7V/KT+fI/ekcVa607DxGL/iZI+fSrWVPjWjPnVe2sFXKTIIFvSDd8m9rukcwgY8fBm//ym5ujbBv3z46depUpswq93vMZ86cYcSIEYSGhvLxxx+XGMoA//rXv/Dw8ODbb78tsR5AeHg4HTt2tPtp1apVeZssIlLtGIbBwyt324Xy5P7N7EMZ4NuZ1lAG+DlwhELZzZQrmM+fP8+wYcNITk5m3bp1NGzY8LLb+Pv7U6dOHRITE8tzaBERKeD1jUdZt++MdblXs9o8Mby9faWT22BngUvWrYYQ7du5kloopeVwMGdlZTFq1CgOHTrEmjVr6NChQ6m2S01NJT4+nnr16jl6aBERKeDnw/G8uP6gdTk82JeFf+2Oj1eBf+Lzc2H1P23LXn4wfK7lcW1xKw49/JWfn8/48ePZvHkzn3/+Of369StUJysri9zcXIKD7V9Wf/755zEMg6FDhzrWYhERsTqVlMF9K361vhZ1cQCR8BA/+4pbFkFcgWkdBz4KYc0rr6FSag4F80MPPcQXX3zBqFGjSExMtBtQBGDSpEmcOXOGbt26MXHiROsQnOvXr2ft2rUMHTqU0aNHl7/1IiI1WFZuPn9/fydJGbnWsmdGdaBH0zD7iknHYcMLtuV67S1jYotbciiYd+3aBcDq1atZvXp1ofWTJk2iVq1ajBw5km+++YalS5eSn59Pq1atmD17Ng8//DAeHpo/Q0TEUYZh8PRne9kbYxu86cbukdzat+mlFWHtdMjNsJWNmg+e3pXTUCkzh4J5w4YNl61Tq1Ytli1b5sjuRUTkMj7YdoKPdp6yLneICGH2DZ0xXXrP+MAXcHi9bbn7bdCkbyW1UhyhbquISBXz64kknv3Cdr841N+bxbf2wM/7ktdVs1Lgq0dtywF1YUjRgzaJ+1Awi4hUIYZh8Ngnv5Obb3nay2SC/07sRuOwgMKVv30WUguMPHXdbAgIK1xP3IqCWUSkCtl46ByHzqZZl/81pA0D2xTx+umfP8KOt23LzQdAl5sroYVSXgpmEZEq5O2f/7R+rhfsy98HtixcKTsNPr/XtuwdAKNe0TvLVYSCWUSkivjjTCo/HY63Lt/Wt6n9ICIXffccJB+3LQ+eAWEtCtcTt6RgFhGpIt4p0Fv29fLglktfjQI49gtsW2xbbtIfek+thNZJRVEwi4hUAfFp2Xy6K8a6fGP3RoQF+thXysmAzwvM5uXlB6MXgMaNqFJ0tkREqoDlW06Qk2e2Lt9xRbPClb5/HpJsvWoGPwN1irgHLW5NwSwi4uay8/JZtsV2z3hgm3q0Crefh4ATW2DLa7blRr2hz98rqYVSkRTMIiJu7otdp4lPy7Yu33nlJZNP5GZeuIR9YSYLT18Yswg8LhlwRKoEBbOIiBszDMPuFam29YO5olVd+0o/zIKEaNvy1U9C3daV1EKpaApmERE3tvlIAgfPpFqX/3ZFM/vxsI/9DJsX2pYje0K/Au8wS5WjYBYRcWNf7z9r/Vwn0IfRUZG2lQlH4MNJYFx4KMzTB0Yv1CXsKk7BLCLixn4/lWz9PLBNPdtEFRmJ8MHNkJlkqzzkWQhvV6ntk4qnYBYRcVN5+Wb2x9rmW+7cKPTCihxYeZv9feVut0Lfeyq5heIMCmYRETd15Fw6Wbm2d5c7R4aCYcCXD8Kxn2wVm10JI+ZpLOxqQsEsIuKm9sSct372MEGHhiHwyyvw2zJbpTqtYPwy8PIpYg9SFSmYRUTc1J4C95db1gsi4MhXljmWL/KvDX9dafmvVBsKZhERN1Wwxzws7Ax8chfWQUQ8vGH8cg25WQ0pmEVE3FDBB78akMDfTz8JeZm2Cte/Cs3+4qLWiTMpmEVE3NDFB78CyOJtn7kE5JyzrbzyYYia6LrGiVMpmEVE3NCemPN4kccr3gvo6GGbwIIOY+CqJ13WLnE+L1c3QERECjty4iRLvOdwhec+W2FkD7jhdc2vXM0pmEVE3E3CEf524C7qeZ60lYU2hgkrwNvfde2SSqFfu0RE3MmfP8GbV1MvxxbKsZ4N4bbPIbi+CxsmlUXBLCLiLn5dBsvGQFaytWhzfgceCJqr16JqEF3KFhFxNXO+ZeCQTf+1K/4wbxBP5f2NRvmBrmmXuISCWUTElbLTYNVU+OPLAoUmtrb6J4/u7QmYyMjJc1XrxAUUzCIirnI+BlaMhzN7bGXegXDTWxxO7gh79wKQmZPvogaKK+ges4iIK8TshDevtg/lkEj42zpoN5wAH09rccEZpqT6U49ZRKSy7fsUPv075GXZyhp2h4krILgBAP7etmDOyTeTl2/Gy1N9qZpAZ1lEpLIYBmx8ET6abB/KHcbA5C+toQzgV6DHDJCZq8vZNYV6zCIilSHrPHx2DxxcY18+YDoMeqLQaF4B3vbBnJ6dT7Cft7NbKW5AwSwi4mxn9sLKWyHxqK3M0weuXwBdxxe5Sf0QP7vl308l0yC0QZF1pXrRpWwREWfa/T94a4h9KAc1gNvXFBvKAE3rBNCotm34zY2HzhVbV6oXBbOIiDPkZcOaf8Gnd9vPo9zsSvj7T9CkT4mbm0wmBrapZ13eeOgchmE4q7XiRhTMIiIVLfkkvDMUdrxjX/6Xf8Ktn0FQeKl2UzCYTyVlcjQ+veLaKG5L95hFRCpS9HfwyZ2QmWgr8w2BMa9B+5Fl2lX/VnXx8jCRZ7b0lDf8cY6W9YIqsrXihhzqMW/fvp17772Xjh07EhgYSJMmTbj55ps5dOhQoboHDhxg6NChBAUFERYWxq233sq5c7pXIiLVjNkMG/8D799kH8rhHWHqhjKHMkCQrxc9m9W2Lus+c83gUI95zpw5/PLLL4wbN44uXbpw5swZFixYQPfu3dmyZQudOnUC4NSpUwwYMIDQ0FBmz55NWloac+fOZc+ePWzbtg0fH58K/TIiIi6RkWgZ7zr6G/vyLhNg5MvgE+Dwrge2CWfLUUvQbz2aQFZuPn6XvEol1YtDwfzggw/ywQcf2AXr+PHj6dy5My+88ALvv/8+ALNnzyY9PZ2dO3fSpEkTAHr37s0111zDkiVLmDp1agV8BRERFzq9y/IqVPIJW5mnDwx9AXr+DUymcu1+YJt6zFl3EIDsPDNbjiYwqG3p7lFL1eTQpez+/fsX6u22bt2ajh07cuDAAWvZJ598wsiRI62hDDBkyBDatGnDypUrHWyyiIib+PU9ePta+1AOaQRT1kGvO8odygDtI4IJD/a1LutydvVXYQ9/GYbB2bNn6dixIwAxMTHExcXRs2fPQnV79+7N2rVrL7vPuLi4Qvejo6OjK6bBIiKOMgxY/yRsWWhf3uIquOltCKxTYYe6+NrURztPAQrmmqDCgnn58uXExMTw3HPPARAbGwtAREREoboREREkJiaSnZ2Nr69vofUXLVq0iJkzZxa5bsWKFUXuu6IkJSWxcOHCy1cUl9E5cn/V9Rz1Sv+O3hnf2ZVtD7ia7SlXYyz5X4UfLysjALBcvj56Lp1nXn6T+j45FbLv6nqO3MXFLCyLCgnmgwcPMm3aNPr168ftt98OQGam5YX6ooLXz8/PWqekYL7nnnsYN26cXVl0dDRjxoxh4sSJ1t65MyxcuJBp06Y5bf9SfjpH7q9anqNtb8LaAqHsGwI3vU2vNtfSy0mHTM3K5bvZ35FxYV7mvGZ9mXZD5wrZd7U8R25k3759zJo1q0zblDuYz5w5w4gRIwgNDeXjjz/G09PytKC/v2Uouezs7ELbZGVl2dUpTnh4OOHheshBRNzEno9h7XTbspcf/PVDaNrfqYcN9vNmdFRDVmw7CcDnv8XwxPD2BPlqKIrqqFwjf50/f55hw4aRnJzMunXraNiwoXXdxcvMRXXjY2NjCQsLK7G3LCLiVqK/tQyvyYVhMU2eMG6p00P5or/2bmr9nJ6Tz+e7YirluFL5HA7mrKwsRo0axaFDh1izZg0dOnSwWx8ZGUm9evXYsWNHoW23bdtGVFSUo4cWEalcJ7fDh7eCOc9WNnohtB1aaU3o3CiULo1CrcvLt5zQ2NnVlEPBnJ+fz/jx49m8eTMfffQR/fr1K7LeTTfdxJo1azh58qS17LvvvuPQoUOF7h2LiLiluAPwwTjIzbCVXTcboiZWelNu6WN79XR/bAq7T52v9DaI8zl0g+Khhx7iiy++YNSoUSQmJloHFLlo0qRJADzxxBN89NFHXHXVVTzwwAOkpaXx4osv0rlzZ6ZMmVL+1ouIOFPyCVh2I2Qm2cqueBD6ueZhqVFdG/J/aw6Qmm3puS/fcpyoxrVc0hZxHoeCedeuXQCsXr2a1atXF1p/MZgbN27Mxo0befDBB3nsscfw8fFhxIgRvPTSS7q/LCLuLe0cLLsBUk/byrrfDoOfcVmTAny8uKF7JO9tPg7A6t9P89TIDoT6e7usTVLxHArmDRs2lLpux44dWb9+vSOHERFxjawUWH4TJBQY0Kj9KMu41xUwmld5/LVPE2swZ+Wa+fTXU0z+S3OXtkkqluZjFhEpyDBg5W0Qu9tW1nyAZUQvD9dPHtGuQQg9mtpmnFq+VQ+BVTcKZhGRgs4dhKM/2JYjomDCB+DlPrffCj4EdjgujX2nU1zYGqloCmYRkYI8LrnDN/xF8A12TVuKMbxzBH7etn++vzsQ58LWSEVTMIuIFBRwyQQU2e7XG/Xz9uTK1vWsy98dPOvC1khFUzCLiBTkV8syqtdF6Qkua0pJhrS3DVf8+6nznDmf5cLWSEVSMIuIFOThYd9rznDPYL66XX27B8TVa64+FMwiIpeyC+Z417WjBPWCfe0GF9F95upDwSwicqnAurbP6e4ZzABD2te3fv45Op6MnLwSaktVoWAWEblUFbiUDfbBnJNn5ufD7vtLhJSegllE5FIFe8xuHMxt6gfRqLZtXvtvD+g+c3WgYBYRuVTBHrMbX8o2mUx2vebvD8ZhNmsUsKpOwSwicqmAAj3mlBjLLFNuqmAwx6flsOtUsusaIxVCwSwicqn6HW2fczPgvdGQ6p6XiXs3DyPAx/be9a/Hk0qoLVWBgllE5FJN+0O7kbblxKOwbAxkJLqsScXx8fKgU2SodXlPzHkXtkYqgoJZRORSJhOMfQdaXGUri9sP799kmRLSzXQuGMynFMxVnYJZRKQoXr4wYTk07msrO/0rrJgAORmua1cRujSyBfPR+HRSsnJd2BopLwWziEhxfALhlpUQ0dVWdvwXWHkr5OW4rl2XKHgpG2BfjPv16qX0FMwiIiXxC4VJn0K9dray6G/hkzsg3z1G2mpeJ5AgX9t0lXtikl3XGCk3BbOIyOUE1oFbP4PazWxlB76AL+4Fs9lVrbLy8DDRKTLEurxHPeYqTcEsIlIaIRFw2+cQ3NBWtnsFfPUIGK4f1MP+AbBk1zVEyk3BLCJSWrWbWcK54AAk29+E72a6rEkXdW5Uy/r5WEIG5zP1AFhVpWAWESmLem3g1k/Bt8ADVz+/DN/MAHO+y5rVudADYHptqqpSMIuIlFVEF5j0MXgH2sp+mW95zzndNZNeNA0LILDACGCHzqa6pB1SfgpmERFHNO4NE1eAl5+t7OgPsHgAnNpR6c0xmSC3wAQWAT5eJdQWd6ZgFhFxVIuB8Lf1UKuJrSzlFLwzFLa9WakPhaVl55GTZ3tCvE6QT6UdWyqWgllEpDwaRsHUjdD6OluZORfWPgyrpkJOeqU0Iz7NfsCTukG+lXJcqXgKZhGR8goIg4n/g6ufAky28j0r4c3BEB/t9CbEp2XbLdcNVjBXVQpmEZGK4OEBA6bDrasgoI6t/NwBeGMQ7P/cqYePT7UP5jqBupRdVSmYRUQqUsur4e4fIbKnrSwnFVbeBuufhHznvF9csMcc7OeFn7dnCbXFnSmYRUQqWmgjmPIV9J5qX755ASy9HlLPVPghzxW4x1xP95erNAWziIgzePnA8BfhxrfAO8BWfmKT5ZWqY79U6OESCvSY9eBX1aZgFhFxpi7j4K7voU4rW1naWVg6yvJKVQUpeCm7brDuL1dlCmYREWcLbw93/QAdRtvKjHzLK1WbF5Z790npOew8nmRdVo+5alMwi4hUBr8QGLcUrpsNpgIPZq1/An75b7l2/fTne+3eY76ydb1y7U9cS8EsIlJZTCboNw3Gvw8e3rbyb562TIThgNW7T7Pm91jr8pD24QxpH17elooLKZhFRCpbu+GWcPYscC/422fhx7ll2k1cahZPf77XulwrwJvZN3bGZDKVsJW4OwWziIgrtB0K45eDZ4H7wd8/DxvmlGpzwzB4YtVekjNs70X/35hOhAf7lbCVVAUOB3NaWhozZsxg6NChhIWFYTKZWLJkSaF6kydPxmQyFfpp165dedotIlL1tbkWJn5gH84bZsMP/77sBBif/BrDtwfOWpdHdolgZJeGzmqpVCKH5wWLj4/nueeeo0mTJnTt2pUNGzYUW9fX15e33nrLriw0NLSY2iIiNUirIfDX/8GKiZCXZSnb+ILlqe2rnrTcl77E6eRMZn6xz7pcN8iX50d3qqwWi5M5HMwRERHExsbSoEEDduzYQa9evYo/iJcXkyZNcvRQIiLVW8ur4a8fwgcTIC/TUvbji2DOh8HP2IWzYRg8+snvpGbnWcv+fWNnamts7GrD4UvZvr6+NGjQoNT18/PzSUlJcfRwIiLVW4tBcMtK+1HCfp4H386wu6y9fOsJfjocb10e26MR13SoX4kNFWerlIe/MjIyCAkJITQ0lLCwMKZNm0ZaWlplHFpEpOpoPgBu+Qi8A21lv7wCXz8FhsHxhHRmrz1gXdUw1I9nRnVwQUPFmRy+lF1aERERPPLII3Tv3h2z2cy6detYtGgRu3fvZsOGDXh5Fd+EuLg4zp07Z1cWHe38eU1FRFym2RUw6WNYPg5yLnRgNi8gIbAVd2xrQUZOvrXqf8Z2JcTPu5gdSVVlMozLPPpXChfvMb/77rtMnjz5svVnz57Nk08+yYoVK5gwYUKx9Z599llmzpxZ5Lonn3ySiIgIR5t8WUlJSdSuXdtp+5fy0zlyfzpHjmuQe5xR55fgY1jGwD5obsLQnH8DlvvNUYEpXBOWWO7j6Bw5V2xsLLNmzWLv3r107NixVNu4JJgzMzMJCgpiypQphZ7WLqi4HvOYMWPK9CUdsXDhQqZNm+a0/Uv56Ry5P52jcvr1PfjiPuviyOz/Y6/Rgt7Nw1gypRcBPuW/6Klz5Fz79u2jU6dOZcosp1/KLoq/vz916tQhMbHk3/bCw8MJD9fQciJS8xiGwTtJ3Rhv+BFksrxGNd5zA606XcGcsV3w9fIseQdSZblk5K/U1FTi4+OpV08DrYuIXCo338wTn+7l+W9OsDq/n7V8nO8WXr6xrUK5mnNqMGdlZZGamlqo/Pnnn8cwDIYOHerMw4uIVDmpWbn8bcl2Vmw7AcDK/EHWdX75aZgOrHZRy6SylOtS9oIFC0hOTub06dMArF69mlOnTgFw3333kZSURLdu3Zg4caJ1CM7169ezdu1ahg4dyujRo4vdt4hITROTnMkdS7Zz8IytQ3PUtz0Zoa0JOH/YUvDbMug63kUtlMpQrmCeO3cux48fty6vWrWKVatWATBp0iRq1arFyJEj+eabb1i6dCn5+fm0atWK2bNn8/DDD+PhoTk0REQA9pw6z9+Wbudcara1rElYAO9O6UXA4cnw9ZOWwmM/QeJRCGvhmoaK05UrmI8dO3bZOsuWLSvPIUREqr1v9p/l/hW/kZlre0e5e5NavHlbT+oE+ULABMu0kOYLM0n99r5lqE6pltRlFRFxEcMweOfnP5m6bIddKI/oEsEHd/W1hDJAYF1oO8y24a4PID8PqZ4UzCIiLpCVm8+Tn+3luTX77WZ4vGdQS16d0A0/70uevO5+m+1zaiwc+a5yGiqVziXvMYuI1GT7Tp/ngf/tIjrONmeAl4eJ2Td05uZejYveqMVVljG0c9Mty4fWQ5vrKqG1UtkUzCIilcRsNnjr56O8uP4PcvNt3eRgXy9em9SDK1rXLX7jg2tsoQxQr50TWyqupGAWEakEseczeWjlbjYdSbAr79q4FvPHR9G8bmAxW2K5n/z987blkEj7S9tSrSiYRUScbO2eWB5ftYfzmbnWMg8T3HtVK+4b3Bpvz8s87vPbMkgoMLPeoMfB289JrRVXUzCLiDhJWnYez36xj493nrIrb1Tbn5fHR9GrWdjld5KTARvn2JbrtoGuEyu4peJOFMwiIk7w64kk/vm/XZxIzLArv6FbJDNHdyz9PMrbFluewr5o8DPgqX+6qzOdXRGRCpSXb2bhD0f47/eHyTcXeMDLz4tZN3Tm+q4NS7+zzCT4+WXbcmRPaDeyAlsr7kjBLCJSQU4kZPCvlbvYeTzJrrx38zBeHh9FZC3/su3w5/mQdd62PORZMJnK3U5xbwpmEZFyMgyDVb/GMOOLfaRl20bk8vIw8eC1bbh7QEs8PcoYqCmnYevrtuVWQ6D5lRXUYnFnCmYRkXI4n5HLk5/tYc3vsXblLeoGMn9CFF0a1Sr7Tg0Dvnse8rJsZRobu8ZQMIuIOGjL0QQe/HAXp89n2ZX/tU8TnhrRngAfB/6JzU6Fz++F/Z/ZyjqNhYiu5WusVBkKZhGRMsrNN/PyN4d4beMRu3GuwwJ9eOHGzlzbsYFjO44/DP+7BeL/sJV5B8DVT5avwVKlKJhFRMrgz/h0Hvjfb/x+6rxd+ZWt6/LSuK6Ehzg48MeB1fDpPyAn1VYWGA43v6e5l2sYBbOISCkYhsHKHSeZuXo/GTm2KRp9PD14bFg7JvdvhkdZH/ACMOfD9/8HP8+zL2/cB8YthZCIcrZcqhoFs4jIZSRn5PD4qj18tfeMXXmb+kG8MqEb7SNCHNtxegJ8cgcc/cG+vPdUuHYWePk42GKpyhTMIiIl2BQdz4Mrd3Mmxf4Br8n9m/HYsHaF500urdO/wYe3wfkTtjIvfxj1CnQdX44WS1WnYBYRKUJOnpmXvv6DN346aveAV90gH14c25Wr2oU7vvNfl8GXD0F+tq2sVlMY/z5EdHF8v1ItKJhFRC4RHZfGPz/8jb0xKXblV7Wtx3/GdqVesK9jO87Lhq8egZ1L7MtbXQM3vgEBpZjUQqo9BbOIyAWGYfDBthM8v2Y/Wblma7mvlwdPjmjPrX2bYnJ0SMzzMbDyVojZaV8+8FEY+Bh4XGbqR6kxFMwiIkBieg6PfvI73+w/a1ferkEw/53YjTb1gx3f+Z8/wkdTICPeVuYbaukltx3q+H6lWlIwi0iN9+3+szy2ag/xadl25Xdc0Zzp17V1/AGvrBTLq1Db3gAK3KgO7wjjl0Gdlo43WqotBbOI1FgpWbk8t3o/H+88ZVdeL9iXueO6MrBNPcd3fmANrJ0OqaftyzuPszx57RPo+L6lWlMwi0iN9Et0PNM/2l1onOsh7esz56bO1Aly8AGvlNOWQD64xr7c0xeueQ763K2pG6VECmYRqVEycvJ44auDvLf5uF15sK8XM67vyE3dIx17wMucDzvegW9n2g+rCdDsSksvWZeupRQUzCJSY+w8nshDK3dzLCHDrvyKVnX5z9guNKzl79iOz+yF1Q9AzA77cv8wuG4WdJ2oXrKUmoJZRKq9rNx8Xv72EG/+eBRzgWew/L09eWJ4O27p09Sxca5zM2HjHNj0Kpjz7Nd1mWAJ5cC65Wu81DgKZhGp1vbGnOfBlbs4dDbNrrxn09rMHdeVZnUdfAjryPew5l+QdMy+vHZzGPkytLzKsf1KjadgFpFqKTffzMIfolnwfTR5BbrJPp4ePHRtG+68sgWejvSS0+Nh/RPw+4f25R5e0P9+GPgIeDt4SVwEBbOIVEOHz6by4Mrd7ImxnzO5U2QI826OcmywEMOAXR/A109CZpL9uka9LA931e9YjlaLWCiYRaTayDcbvP3zUeZ+fYicPNuQmp4eJu69qhX3Xt0Kb08Hhr6Mj4Y1/4RjP9mX+wTDkBnQ82/g4eAgJCKXUDCLSLWQnJHDfSt+46fD8XblrcODmHdzFJ0bhZZ9p2YzbH0NvnsO8uzfd6b9KBj2HwhpWI5WixSmYBaRKu/gmRSmvreTE4m216BMJrjryhY8eE0bx4bUTDoGn90Dx3+xLw9uCCPmQrsR5Wu0SDEUzCJSpX21J5aHPtpNRk6+taxRbX9eHh9Fr2YOTKNoGJZpGdc/CbnpBVaYoPdUuPop8Aspd7tFiqNgFpEqyWw2mPfNIRb8EG1XfmXrurw6sRu1AnzKvtOU0/DFfRD9rX15raYw5jVo9pdytFikdBTMIlLlpGTl8s//7eL7g3F25VMHtOCR69riVdYHvAwD9nwEax+GLPsnuekxBa79P/ANKmerRUpHwSwiVUp0XBpT39vB0XjbZWZfLw/m3NSFMd0iy77D9HjLQCEHvrAvD46A6xdA6yHlbLFI2Tjw3oBFWloaM2bMYOjQoYSFhWEymViyZEmRdQ8cOMDQoUMJCgoiLCyMW2+9lXPnzjl6aBGpob7df5YxC3+xC+WGoX588o/+joXywS9hUd/CodxlPNyzWaEsLuFwjzk+Pp7nnnuOJk2a0LVrVzZs2FBkvVOnTjFgwABCQ0OZPXs2aWlpzJ07lz179rBt2zZ8fBy4DyQiNYrZbLDwh2jmfXsIo8BY132ah7Hwlu7ULesUjZnJsO4x2L3CvjygDoycDx2uL2+TRRzmcDBHREQQGxtLgwYN2LFjB7169Sqy3uzZs0lPT2fnzp00adIEgN69e3PNNdewZMkSpk6d6mgTRKQGSMvO4+GVu1m374xd+eT+zXhyRPuyDxhy5Hv4/F5IibEvbzfSEspB9crXYJFycvhStq+vLw0aNLhsvU8++YSRI0daQxlgyJAhtGnThpUrVzp6eBGpAY4npHPjol/sQtnH04P/jO3Cs9d3LFso56TDlw/BshvsQ9k3FG5YDOPfVyiLW3Dqw18xMTHExcXRs2fPQut69+7N2rVrS9w+Li6u0L3o6OjoYmqLSHXyS3Q89yz/lfOZuday+iG+vD6pB92a1C7bzo79Ap9Pg6Q/7ctbXAWjF0KoA/enRZzEqcEcGxsLWC57XyoiIoLExESys7Px9S36/tCiRYuYOXNmketWrFhR5H4rSlJSEgsXLnTa/qX8dI7cn6PnKDrTny/iw8nHNvtTQ58sRgedZNPqP9hUyv34mDPpn76Ojlnb7cpz8eaXoGHsS+kD739W5vZVJ/p75FwXc7AsnBrMmZmZAEUGr5+fn7VOccF8zz33MG7cOLuy6OhoxowZw8SJE+nY0XkzuSxcuJBp06Y5bf9SfjpH7s+Rc7R2Tywvr/iNfGxPeU3s3Zhnr++Ir1cZhtbc/wWsnQ5Z9vemadIP7zGLGBTWgkFlaln1pL9HzrVv3z5mzZpVpm2cGsz+/pY5SbOzswuty8rKsqtTlPDwcMLDw53TOBFxO5/9FsODK3dRYPpkHh3ajr8PbIHJVMq5k1NOWwL54Br7cu8Ay3Caff6umaDErTk1mC9eai6qKx8bG0tYWFixvWURqVlWbj/Jo6t+t3sdasaoDkz5S/PS7cBshp3vwrfPQnaK/bqWg2Hky1C7aYW1V8RZnBrMkZGR1KtXjx07dhRat23bNqKiopx5eBGpIpZtPsbTn++zLptMMGtMZ/7ap0kJWxVw7g9Y/QCc2GxfHlAHhr4AncdZdipSBTj8ulRp3XTTTaxZs4aTJ09ay7777jsOHTpU6P6xiNQ8b/101C6UPUzw4tiupQvlvBzYMAdev6JwKHeZANO2Q5ebFcpSpZSrx7xgwQKSk5M5ffo0AKtXr+bUqVMA3HfffYSGhvLEE0/w0UcfcdVVV/HAAw+QlpbGiy++SOfOnZkyZUr5v4GIVFkLvj/M3K8PWZc9PUzMHx/FqK4NL7/xia2w+n44d9C+vFYTy0AhrQZXbGNFKkm5gnnu3LkcP37curxq1SpWrVoFwKRJkwgNDaVx48Zs3LiRBx98kMceewwfHx9GjBjBSy+9pPvLIjWUYVimbHz1e9u4BN6eJl6d2J2hnS4zcFFWCnz3HGx/Cwo8uY3JA/reA1c9AT6Bzmm4SCUoVzAfO3asVPU6duzI+vXry3MoEakmDMPg318d5I0fj1rLfLw8WDypB1e1u8xbGAfXWkbvSj1tX96gM4z6L0R2d0KLRSqXpn0UkUpjNhvMXL2PpZttV9r8vT156/ae/KVV3eI3TD0LXz0C+z+zL/fyg0GPQb97wdPbOY0WqWQKZhGpFPlmgydW7eHDHbYHQQN9PHl3Sm96Nw8rZqM82P4m/DC78CtQzQdY7iXXaem8Rou4gIJZRJwuN9/Mgyt3s3q37RJ0sJ8XS//Wm+7FjXv950+WXnLcfvtyv1pw3SyIukVPW0u1pGAWEafKys3n3g9+49sDZ61ltQO8WXZHHzpFhhbe4HwMfP0U7FtVeF3HG2HYHAjSiIBSfSmYRcRpcswm7ly6g5+j461l4cG+vH9nH9rUD7avnJcNmxfAj3MhN8N+Xd22MPw/0GKQ8xst4mIKZhFxipSsXD4+V5+YHFsoR9byZ/mdfWhW95LXmQ59DesehcSj9uU+wXDV49B7qh7ukhpDwSwiFS4xPYfb39lGTI6ftax53UCW39mHhrUKTFyTeBTWPQ6H1hXeSde/wpBnIbi+8xss4kYUzCJSoeJSspj09lYOnU2zlrWtH8yyO3sTHnwhqHPS4ad5sOm/kJ9jv4OIrjDsRWjSpxJbLeI+FMwiUmFOJWUw6a2tHEuw3SPu0iiUpVN6UzvQBwzD8i7y+qcg5ZT9xv61YfAz0P12TcsoNZqCWUQqxJ/x6dzy5hZOn8+yljXyzWL5ndcS7OcNcQfhq+nw54/2G5o8oMcUy1zJAcW8zyxSgyiYRaTc/jiTyi1vbSU+LdtadmXruvTI2EkwGbBuDmxbDOY8+w0b94HhL1ouX4sIoGAWkXLaG3OeSW9vJTkj11p2bYf6vPrXbny+4DNY2Lfw2NZB9eGa56DLeA0SInIJBbOIOGxvzHlueWsr5zNtoTw6qiFzx3XF+8Bn3Jj8BlCgl+zhBX3/AQMeAb+Qym+wSBWgYBYRh/x+KplJb20lJcsWvBN6NWbWmI54/jgHNr5g/w9M84GWy9b12lZ6W0WqEgWziJTZ7pPJTHp7K6kFQnlS3yY8N6wFHp/8rfAsUAMegUGPg4dH5TZUpApSMItImfx2Ionb3t5GarYtlG/r15SZg2phWjIMYndby/PwwuumxdB5rCuaKlIl6ddXESm1nccLh/Lk/s2Y2SML05uD7UKZoPp8WusuhbJIGSmYRaRUdh5P5PZ37EN5yl+aMaPZfkxLRkDaGVvliK5w1w/EeTd2QUtFqjZdyhaRy9pxzBLK6Tn51rI7/tKUpwJWYVo1175yhzEw5jXwCajcRopUEwpmESnRtj8TmfzuNjIKhPI9/RswPeMFTDtX21ce+BgMfFQPeYmUg4JZRIq19WgCU5Zstwvlh/sEMu30A5jO7LFV9PKDMYug000uaKVI9aJgFpEibT6SwN+WbCcz1xbKz/fIYFL0PzGlx9kqBkfAhA8gsrsLWilS/SiYRaSQX08kccfSgqFs8G7brQw6sAhTwfGuG3azhHJIQ5e0U6Q6UjCLiJ39p1OY/I7tnnIoaayKWEbL4z/ZV+x4A4xepIe8RCqYgllErI6cS+O2d2zDbHYzHWZJ8GuEJhV4FcrkYZmi8YoHNQGFiBMomEUEgFNJGUx6ayvxaTmAwR2ea3nC+394Fnjwi+AIGPsONO3vsnaKVHcKZhEhLiWLW97aSuz5LEJJY673Yq7x3GlfqeVguPENCKzrmkaK1BAKZpEaLik9h0lvb+V4QgZRpmgW+PyXRqZ4W4WLl67/8i+9nyxSCRTMIjVYalYut7+7jUNnU7nD8yse81qBt+mSS9c3vQ3N/uK6RorUMApmkRoqMyefO5bu4NipGN4s8tL11XDDGxBUzzUNFKmhFMwiNVBOnpm/v7+TnGPbWOtbxKXrq560PHWtS9cilU7BLFLD5OWbmb5iC+2OvMdDPivxKXjpOqiB5alrXboWcRkFs0gNkpWayJfv/B9PJX5EPe8U+5W6dC3iFhTMIjVB6hmyfl6Iedtb3GRkQIFxQQyTByZduhZxGwpmkeos4QhsehVj1wf45WcXWp1dtxO+I/+jS9cibkTBLFIdxe6Gn+fD/s/AMHPpwJm7PDvTePST1Ok8VMNqirgZBbNIdWEYcOxn+PllOPJdkVXW5fdiY72/8tidtxIa4F3JDRSR0lAwi1R1ZjP8sdYSyDE7Cq3ONTz5NP8KFuePpHm7brw6sTv+Pp4uaKiIlIbTg3nDhg1cddVVRa7bvHkzffv2dXYTRKqnvBzY8xH8Mh/iDxVanW74siL/at7OG04sdbi5ZyNm39AZL0894CXiziqtx3z//ffTq1cvu7JWrVpV1uFFqo/sNPj1Pdi8AFJiCq3O8q7FoowhvJd/DckEA3DPoJZMv64tJt1PFnF7lRbMV155JWPHjq2sw4lUPxmJsO0N2Po6ZCYVWm2ENOLbWuO4/1BnMvGzls8Y1YEpf2lemS0VkXKo1HvMqamp+Pv74+WlW9sipXb+FGxeCDuXQG5G4fX12pHX7wEeP9yWj347Yy329jTx0s1RXN+1YeW1VUTKrdIScsqUKaSlpeHp6cmVV17Jiy++SM+ePUvcJi4ujnPnztmVRUdHO7OZIq5nGHB2HxxeD4e/gZNbwTAXqpZVvztbIm/ns/TObFmXzJkUWygH+Hiy+NYeXNlao3iJVDUmwzAMZx5g06ZNzJs3j+HDh1O3bl3279/P3LlzSU9PZ9OmTXTr1q3YbZ999llmzpxZ5Lonn3ySiIgIZzWbpKQkateu7bT9S/lVp3PkbWTTKOcITXP+oGnOHwSZU4qtu41OvJo7mp/yO0ChN5TB3yOfsfXO0sAnx4ktLp3qdI6qK50j54qNjWXWrFns3buXjh07lmobpwdzUaKjo+nSpQsDBgxg3bp1xdYrrsc8ZsyYMn1JRyxcuJBp06Y5bf9SflX+HCUcgUPr4fDXcPwXyC8+SPMxsSa/H4vzRrLfaFZsvWZ1Anhnci9a1AtyQoPLrsqfoxpA58i59u3bR6dOncqUWS652duqVStGjx7NqlWryM/Px9Oz6Hcqw8PDCQ8Pr+TWiThJbpYlgA9/bflJPFpi9SzDm83mDnxv7sZ3+d05Td1CdTw9THRqGELv5mH0bl6HAW3q4uuld5RFqjKXPYXVuHFjcnJySE9PJyQkxFXNEHGu86cuBPE3cHRD0Q9vFXDKqMv3+d34wRzFZnMHsvC1W+/j6UHXxqHWIO7RtDZBvnqYUqQ6cdnf6KNHj+Ln50dQkHtcchOpEPl5cGrbhUvU30DcvhKr5xqe7DC35XtzFD+Yo4g2Iil439jP24PuTWrTp3kdejcPo1uTWvh5q0csUp05PZjPnTtHvXr2T4bu3r2bL774gmHDhuGhaeakqks7B9HfWp6iPvI9ZJ0vsfo5I5Qf8qP43tyNX8ydSCXAui7I14uezWrTu3kYfZrXoXNkKD5e+jsiUpM4PZjHjx+Pv78//fv3Jzw8nP379/PGG28QEBDACy+84OzDi1Q8sxlid9nuFcf8ChT/DKXZMLHbaMn3+ZZe8T6jGQaWsK0V4M21zcKsQdw+IlhDZorUcE4P5jFjxrB8+XLmzZtHSkoK9erV48Ybb2TGjBkaklOqjsxkOPoDHPoaor+B9HMlVk82AvnR3IXv87vxo7kLiVieo6gX7MuI5mH0uXCPuHV4EB4eGiZTRGycHsz3338/999/v7MPI1KxDAPOHYRD6zEOfw0ntmAy8kvcZL+5KT+Yu/JDfhS/Ga3Jx5PIWv4Mah5GnxaWIG5WJ0DjVYtIifQ4pwiA2Yw5PpqUI1vJ+XMTQSd/ICAzFihqCA+LdMOXn82d+cEcxYb8rpyhDi3qBtK7eRh/bW65PN2odkAxW4uIFE3BLDWGYRicz8zlZGImZ06fIO/kdvzO/kbdlL00y/qDYNKpdZl9HDFHsMEcxffmKLab29GigSWAn7oQxOHBfpfZg4hIyRTMUq1k5ORxKimTk4kZlp+kTM7GJ+KXsJf6KXtpbz5MlEc0nU3xpdpftuHFVnN7vjd3Y6M5iqCGbenTPIzbm4exoFkYtQN9nPyNRKSmUTBLlZKbbyY2OYuTSRn8nhbEf9Yd5OSFID6VlEFiWhatTDF09ThCN1M0N3ocoa3pJF4ms+Wa9GVeATYbJqKNhuww2rHLrw9xdfrQvlkDBjUP46GmtQn2866U7ykiNZeCWdyK2WxwLi37Qm83g5OJmXafY89nYra+mVSX+hu2E+URzXUeR4gyHaGz71GCTFmlPl6iRxgnAzqQHNaF/AbdCWjWk4b16zOulh9/1WtLIuICCmapdOczci8EbYHwTcrgRGIGMUmZZOcVnuIQIJBM+ngcJcrjCF09jhDlEU0DU1Kpj5vr6U9anS4YDbsT2KIPvk17ExYaSVhFfTERkQqgYJYKl5mTz6mkonu8J5MySM3Ku+w+PMmnnemkJYBN0XT1OEJrUwweptJNhmaYPCC8A6ZGPSGyB0T2xLteW2p7aDhLEXFvCmYps7x8M7HnswoF7sWHrc6lZpdxjwaNTPHWAI7yiKaT6Rj+pjLMJxzaBCK7w4UgNkV0BZ/AMrZDRMT1FMxSiGFcvM9b8OlmWwDHns8i3+z4NN4hpNHV4yhRpmh6ef9JF9MRahnJpd+BbyhEdmPHGeg5+u/QsDsE13e4PSIi7kTBXENZ3ue1PMl8aY/3VFIGWblF3+ctq9q+BlcGn6Gv7zE6GodplnWA0Izj9pVKyngPb2jQyXo5msgeUKcVeHiwdeFCerYdViHtFBFxFwrmaiwrN59DZ1M5EJvCkXPpnEjIsAZwSinu85aGj6cHkbX9aVTbnyZhAbQPOE/HvAM0Tt9LraQ9eMbtwZSWA2ml3GHt5tbL0UT2hAadwVuDdohIzaFgrgYMw+D0+SwOnE7h4JkUDpyxhPGx+HTKccUZAJMJIkL8aBQWQOPaATQO87/w3wAa1/KhfkY0Hqe2wckt8OcWSIkp/c79wywBbA3iHhCgZ6RFpGZTMFcxGTl5HDqbxoHYFA7GWkL4YGxKuXrAYYE+NK7tbw3fJmG2AG5Yy982H3B2GpzaDie3wr4tls85pewKe/pCRNcCQdzd0jvWhA4iInYUzG7KMAxOJWVaAvhMqqUnHJvKsYR0jDL2gr08TDSvG0jTOoH2Pd4wfxrVDiDIt5j/DVJOw8F1cGKrpUd8Zi9cZoYlqzqtoFEvW0+4fifw0vCVIiKXo2B2A+nZedbwPRhruQz9x5lUUrPL3guuE+hD+4gQ2kcE065BCO0jQmgZHoiv1+XGosyHuAOWAD6xxRLG50+U7qCePtCwGzTuA036Wv4bWLfMbRcREQVzpTKbDU4mZXAg9mIP2NIbPp6QUeZ9eXuaaBUeTPsGwbSLCKZ9RAjtGoRQL9i3dDvISYeYnZYAPrHZclk6O6V02/rXhsZ9oUkfy38bdtMDWiIiFUTB7CSpWbn8cSbV+iDWwQu94PScUl4KLqBesK+lF9zgQgBHBNOibpDt3m+pGnTG0hM+eSGIY38v/WXpsBbQpJ+tR1ynNXhoHGkREWdQMJeT2WxwPDHD8iDWxYexzqRwMjGzzPvy8fSgdf2gC5egLSHctkEwdYNK2Qu2NQrOHbxwWfpCECcfv/x2YHlvOKKrJYAvXpYOCi/zdxEREccomMvgfKalF3zxMvSB2FT+OJNKZm7Ze8ENQvwKXIK2/Ld53UC8HZnRKDfzwmXpCz3ik1sh63zptvULLXBvuK/laWlv/7K3QUREKoSCuQj5ZoPEXC++/D32wn1gSwjHJJe9F+zr5UGb+sHWh7HaRQTTvkEItQPL8YRyWlyBy9JbIHY3mHNLt23tZhfuD1/4qdtWl6VFRNxIjQ/m5IwcDlrvA1t6w3+cTSUrtxFvf/BrmfbVMNTPeg/44hPRzeoE4FWeeX3NZkg4bLkcffG1pcSjpdvWwwsadLG/LB3cwPG2iIiI09XYYF62+RiLNhwh9nxWmbf18/agbQPLw1gXL0O3axBCaIB3xTbyk7sg+hvILOWcw76h0LiXrUcc2V0zLImIVDE1NphNJlOpQrlRbX+7h7HaNQimaZ1APD0qYcSqjPiSQ7lWE9trS036Qb12oPmGRUSqtBobzO0jgu2WA3w8advAcgm6Q0Qw+zd/y+P33E6IXwX3gsuicV848r3ls8nTMqHDxUvSTfpCSEPXtU1ERJyixgZzuwYhPDC4tfWhrCZhAXgU6AUv/DXbtaEM0Hao5b9N+lhmWvINcm17RETE6WpsMAf6evGva9q4uhkli+hq+RERkRpD78mIiIi4EQWziIiIG1Ewi4iIuBEFs4iIiBtRMIuIiLgRBbOIiIgbUTCLiIi4EQWziIiIG1Ewi4iIuBEFs4iIiBtRMIuIiLgRBbOIiIgbUTCLiIi4EQWziIiIG1Ewi4iIuJEqNx9zdnY2ANHR0U49TmxsLPv27XPqMaR8dI7cn86R+9M5cq6LWXUxu0rDZBiG4awGOcPnn3/OmDFjXN0MERGRUvvss88YPXp0qepWuWBOTk5m48aNNG7cGF9fX6ccIzo6mjFjxvDZZ5/RqlUrpxxDykfnyP3pHLk/nSPny87O5uTJkwwcOJBatWqVapsqdym7Vq1apf6to7xatWpFx44dK+VY4hidI/enc+T+dI6cq3v37mWqr4e/RERE3IiCWURExI0omEVERNyIgrkI9erVY8aMGdSrV8/VTZFi6By5P50j96dz5J6q3FPZIiIi1Zl6zCIiIm5EwSwiIuJGFMwiIiJuRMEsIiLiRhTMIiIibqRaBnN2djaPPvooDRs2xN/fnz59+vDNN9+UatuYmBhuvvlmatWqRUhICKNHj+bo0aNF1n377bdp3749fn5+tG7dmldffbUiv0a15uxzdPLkSWbOnEnv3r2pXbs2devWZdCgQXz77bfO+DrVVmX9Xbro559/xmQyYTKZiI+Pr4ivUO1V1jk6e/Ysd999N5GRkfj5+dGsWTPuuOOOivwqcpFRDU2YMMHw8vIyHn74YWPx4sVGv379DC8vL+Onn34qcbvU1FSjdevWRnh4uDFnzhxj3rx5RuPGjY1GjRoZ8fHxdnVff/11AzBuuukm44033jBuvfVWAzBeeOEFZ361asPZ5+jVV181/P39jYkTJxoLFiww5s+fb3Tv3t0AjHfeecfZX6/aqIy/Sxfl5+cbUVFRRmBgoAEY586dc8ZXqnYq4xydOHHCaNy4sdG4cWPjueeeM95++23j+eefN0aNGuXMr1ZjVbtg3rp1qwEYL774orUsMzPTaNmypdGvX78St50zZ44BGNu2bbOWHThwwPD09DQef/xxa1lGRoZRp04dY8SIEXbb33LLLUZgYKCRmJhYQd+meqqMc7R3795C/7BnZWUZ7dq1Mxo1alRB36R6q4zzVNBrr71m1KlTx3jggQcUzKVUWedo2LBhRvPmzYv9pUoqVrUL5unTpxuenp7G+fPn7cpnz55tAMaJEyeK3bZXr15Gr169CpVfe+21RsuWLa3LX375pQEYX375pV29TZs2GYCxbNmycn6L6q0yzlFxHnzwQQMwUlJSyt7wGqYyz1NCQoJRp04dY+HChcaMGTMUzKVUGefowIEDBmAsWrTIMAxL8Ofk5FTQN5CiVLt7zL/99htt2rQhJCTErrx3794A7Nq1q8jtzGYzv//+Oz179iy0rnfv3hw5coTU1FTrMYBCdXv06IGHh4d1vRStMs5Rcc6cOUNAQAABAQGONb4Gqczz9PTTT9OgQQPuvvvuiml8DVEZ5+jicxn169dn8ODB+Pv74+/vz7Bhwzh27FjFfRmxqnbBHBsbS0RERKHyi2WnT58ucrvExESys7NLtW1sbCyenp6Eh4fb1fPx8aFOnTrFHkMsKuMcFSU6OppVq1Zx00034enp6UjTa5TKOk+///47ixcvZt68eTovZVQZ5+jw4cMATJ06FR8fHz788ENeeOEFfv75Z4YMGUJGRkaFfBex8XJ1AypaZmYmvr6+hcr9/Pys64vbDijVtpmZmfj4+BS5Hz8/v2KPIRaVcY4ulZGRwbhx4/D39+eFF15wqN01TWWdp/vvv59hw4Zx7bXXlrvNNU1lnKO0tDQAGjRowJdffomHh6U/16hRIyZOnMgHH3zAnXfeWc5vIgVVux6zv78/2dnZhcqzsrKs64vbDijVtv7+/uTk5BS5n6ysrGKPIRaVcY4Kys/PZ8KECezfv5+PP/6Yhg0bOtz2mqQyztOHH37Ipk2beOmllyqkzTVNZf17B3DzzTdbQxlg3LhxeHl5sWnTpnJ8AylKtesxR0REEBMTU6g8NjYWoNh/lMPCwvD19bXWK2nbiIgI8vPziYuLs7ucnZOTQ0JCgv7hv4zKOEcF3XXXXaxZs4bly5dz9dVXl6fpNUplnKfp06czbtw4fHx8rPcrk5OTAcu76Dk5Ofr7VILKOEcX/1u/fn27ep6entSpU4ekpCTHv4AUqdr1mKOiojh06BApKSl25Vu3brWuL4qHhwedO3dmx44dhdZt3bqVFi1aEBwcbLePS+vu2LEDs9lc7DHEojLO0UXTp0/n3Xff5eWXX2bixIkV8wVqiMo4TydPnuSDDz6gefPm1p9XXnkFgO7duzN8+PAK/EbVT2Wcox49egAU+gUgJyeH+Ph4zeXsDK5+LLyibdmypdB7fVlZWUarVq2MPn36WMuOHz9uHDhwwG7bF154wQCM7du3W8sOHjxoeHp6Go8++qi1LCMjwwgLCzNGjhxpt/2kSZOMgIAAIyEhoaK/VrVSGefIMAzjP//5jwEYTzzxhJO+SfVWGefp008/LfQzfvx4AzDee+894/vvv3fiN6z6KuMcZWVlGeHh4UaLFi2MzMxMa/nixYsNwFi5cqUzvlqNVu2C2TAMY9y4cYaXl5cxffp0Y/HixUb//v0NLy8vY+PGjdY6AwcONC79vSQlJcVo2bKlER4ebvznP/8xXn75ZaNx48ZGw4YNjbi4OLu6CxcuNABj7NixxptvvmncdtttBmDMmjWrUr5jVefsc7Rq1SoDMFq3bm0sW7as0M+ZM2cq7btWZZXxd+lSeo+5bCrjHC1dutQAjF69ehn//e9/jYcfftjw9vY2rrzySiMvL69SvmdNUi2DOTMz03j44YeNBg0aGL6+vkavXr2MdevW2dUp6n9UwzCMkydPGmPHjjVCQkKMoKAgY+TIkcbhw4eLPM4bb7xhtG3b1vDx8TFatmxpvPzyy4bZbHbKd6punH2OLv7jXtzPDz/84MyvV21U1t+lghTMZVNZ52jFihVG165dDV9fX6N+/frGvffeq4F6nMRkGIbh/AvmIiIiUhrV7uEvERGRqkzBLCIi4kYUzCIiIm5EwSwiIuJGFMwiIiJuRMEsIiLiRhTMIiIibkTBLCIi4kYUzCIiIm5EwSwiIuJGFMwiIiJuRMEsIiLiRhTMIiIibkTBLCIi4kYUzCIiIm7k/wHIt1QoOs8BdwAAAABJRU5ErkJggg==", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import matplotlib.pyplot as plt\n", "from cfdmod.use_cases.s1.plotting import set_style_tech\n", "\n", "fig, ax = plt.subplots(figsize=(10 / 2.54, 10 / 2.54), constrained_layout=True, dpi=120)\n", "\n", "ax.plot(pitot_profile.values, pitot_profile.heights, label=pitot_profile.label)\n", "ax.plot(probe_profile.values, probe_profile.heights, label=probe_profile.label)\n", "ax.legend()\n", "\n", "set_style_tech(ax)\n", "\n", "plt.show(fig)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Plotting S1" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAeYAAAHmCAYAAACmky3PAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy81sbWrAAAACXBIWXMAABJ0AAASdAHeZh94AAByrklEQVR4nO3dd3yT1eIG8CejaTrS3XS3jLZAW/ZGZIggG1QUuKKC3osD0aty/TkvLrh6HVevgMJ1gDgZDlAURAFR9qq0jFJKW7p3m440bXJ+f6QNjd0zSfN8Px8+kjfnfXMOEZ6e877nHIkQQoCIiIisgtTSFSAiIqJrGMxERERWhMFMRERkRRjMREREVoTBTEREZEUYzERERFaEwUxERGRFGMxERERWhMFMRERkRRjMREREVkRu6Qq0VlFREQ4cOICQkBA4OjpaujpERESNqqysxNWrVzF+/Hh4eHi06BybC+YDBw5g7ty5lq4GERFRi33zzTeYM2dOi8raXDCHhIQAMDYyPDy82fKff/45Fi5c2NnVsjr22G622X7YY7vZZtuUmJiIuXPnmrKrJWwumGuHr8PDwxEdHd1s+YCAgBaV627ssd1ss/2wx3azzbatNbde+fAXERGRFWEwExERWREGMxERkRVhMBMREVkRBjMREZEV6fbBfNttt1m6ChZhj+1mm+2Hvbab7EO3D2YiIiJbwmAmIiKyIgxmIiIiK8JgJiIisiIMZiIiIivCYCYiIrIiDGaiOpKTkyGRSLBx40ZLV6VNJBIJHnroIUtXo9X2798PiUSC/fv3W7oqRBbHYLYxZ8+exbx58xAWFgalUomgoCBMnjwZ77zzjlm5/fv3495770VMTAxkMhl69OjR7s+u/cezsV9ffPFFuz+DbMs777wDd3d3VFVVNVqm7v8jUqkUgYGBmDJlSrMh/Nlnn+Gtt95qc93Ky8vx/PPPM+zJ5tjcto/27NChQ5g4cSJCQ0Pxt7/9Df7+/rh69SqOHDmCt99+G8uXLzeV/eqrr/Dtt99iyJAhCAwM7NB6PPzwwxg+fHi946NHj+7Qz6GGFZXrUKUXkEiAcr0UBWU6SCSApOZ9XbUBGm0VJJAYj0vQ8O9RG5rXft9a33//PaZMmQIHB4cmy02ePBl33XUXhBC4cuUK1q1bhxtuuAHff/89pk2bhnHjxqGiogIKhcJ0zmeffYa4uDj8/e9/b3W9AGMwv/DCCwCACRMmtOkaRJbAYLYhq1atgru7O44fPw4PDw+z93JycsxeP/3009i8eTMcHBwwc+ZMxMXFdVg9rr/+esybN6/DrkeNKysrg4uLi9mxgjIdSiura17JUVJYbvZ+ibYKV/LKWv1ZLQ1vJwcpXJUOkOp1OHDgAN59991mrx0ZGYlFixaZXt98880YMGAA3nrrLUybNg1SqRRKpbLVdSbqjjiUbUMuX76M6OjoeqEMAGq12uy1v79/s72Yute9fPlyR1QRAPDRRx9BIpHgww8/NDu+evVqSCQS7Nq1y3Ts9ddfx5gxY+Dt7Q0nJycMHToU27Ztq3fN2nunW7duRVRUFJycnDB69GicPXsWALB+/XqMHDkSSqUSEyZMQHJystn5EyZMQExMDE6ePIkxY8bAyckJPXv2xHvvvdeiNl24cAHz5s2Dl5cXlEolhg0bhh07djR7Xu0969dffx3/+c9/EBYWBicnJ4wfP77eD0uLFy+Gq6srLl++jOnTp0OlUuGOO+4AYAzoxx9/HCEhIegb7I3Z44dj03vvQAjR4Od+//UWzB4/HMPD/bFg+gScPPJ7vTLZmRn45+MPYeLgSAzr7Ye5k0Zh++eboTcIVBsMqNIboNMbUFmth7ZKj4oqPcp11cgv0yElvwwbt+5EZWUlho2diHJddaN1aUj//v3h4+ODK1euAKh/j3nChAn4/vvvkZKSYhoGr3s7Jjc3F/feey/8/PygVCoxcOBAbNq0yezP3dfXFwDwwgsvmK7x/PPPt7iORJbCHrMNCQsLw+HDhxEXF4eYmJgOu+6kSZMAoF6YNUaj0SAvL6/ecW9vb0gkEixZsgRfffUVHnvsMUyePBkhISE4e/YsXnjhBdx7772YPn266Zy3334bs2fPxh133AGdTocvvvgCt912G7777jvMmDHD7PoHDx7Ejh07sGzZMgDAv/71L8ycORNPPPEE1q1bhyVLlqCqqgr//ve/cc899+CXX34xO7+wsBDTp0/H7bffjoULF2LLli144IEHoFAocM899zTa3vj4eFx33XUICgrCk08+CRcXF2zZsgVz587F9u3bcfPNNzf7Z/bxxx9Do9Fg2bJl0Gq1ePvtt3HDDTfg7Nmz8PPzM5Wrrq7GTTfdhLFjx+L111+Hs7MzhBCYPXs29u3bh3vvvRehEf2wb+9evLnqn8jJysT/vfAvCMAUjCeP/I49O7/GwiX3QeGowJaPP8CDd96GT3buRUTfKABAfm4O7pwzGRKJBAvu/hs8vb3x+769eP4fy1FWqsGivz7QbJsO/rIHUf0HwaB0R2JOKeRSKVyVcqgc5XBVyuEga/zn/sLCQhQWFiI8PLzB95955hkUFxcjLS0N//nPfwAArq6uAICKigrccsstuHLlCh566CH07NkTW7duxeLFi1FUVIRHHnkEvr6+ePfdd/HAAw/g5ptvxi233AIAGDBgQLPtIrI4YWPi4uIEABEXF9ei8tnZ2Z1co66zZ88eIZPJhEwmE6NHjxZPPPGE2L17t9DpdPXK1m33jBkzRFhYWKPXDQsLa/L9Wvv27RMAGv2VmZlpKpuZmSm8vLzE5MmTRWVlpRg8eLAIDQ0VxcXFZtcsLy83e63T6URMTIy44YYbzI4DEI6OjuLKlSumY+vXrxcAhL+/vygpKTG1+amnnhIAzMqOHz9eABBvvPGG6VhlZaUYNGiQUKvVpj/DK1euCADio48+MpWbNGmS6N+/v9BqtaZjBoNBjBkzRkRERDT5Z1Z7PScnJ5GWlmY6fvToUQFAPProo6Zjd999twAgnnzySbNrfPPNNwKAePnll82Oz5s3T0gkEpGYmGiqU+13ceTYMaGr1ovKKr1IuJwklEqlmD1nriirrBKl2ipx1+Ilwt8/QFxJyxRF5TpRWFYpCssqxS3zbhdu7u4iNadQ5JRoRXZJhcgqrhCZRRUio6hcpOaXifMZxSL2aqEICAoW9z/6fyL2amGDvy5mlYiMonIBQNxzzz0iNzdX5OTkiKNHj4pJkyaZfR+1/2/t27fP1L7G/r996623BADxySefmI7pdDoxevRo4erqKkpKSoQQQuTm5goAYuXKlU1+R7ZizZo1lq5Cl+sObW5tZgkhhF31mF/YGY9zGSWWrgYAICrQDStnRbfqnMmTJ+Pw4cP417/+hd27d+Pw4cP497//DV9fX7z//vuYPXt2m+rS0p5yrX/+85+4/vrr6x338vIy/d7f3x9r167FwoULcf311+PMmTP46aef4ObmZnaOk5OT6feFhYXQ6/W4/vrr8fnnn9e7/qRJk8yGM0eOHAkAuPXWW6FSqVBRUWF2PCkpyay8XC7HfffdZ3qtUChw33334YEHHsDJkycxatSoep9ZUFCAX375BS+++CI0Gg00Go3pvZtuugkrV65Eeno6goKCGvyzqjV37lyzMiNGjMDIkSOxa9cuvPnmm2ZlH3jAvLe6a9cuyGQyPPzww2bHH3/8cWzbtg0//PADHnroIdPDW6NHj8bIOg/nRfTqiTlz5mDnzp1wlBmfjN7xzde4/fbb4eooR1VZsansrBnT8NW2LUhNMI4SNEQIgVNn/kBmehpumjYdUokEhgaGsbVVxiFwAPjwww/Nbm0olUo89thjbXqwa9euXVCr1Vi4cKHpmIODAx5++GEsXLgQBw4cwMyZM1t9XSJrYVfBfC6jBEevFFi6Gu0yfPhwfPXVV9DpdIiNjcXXX3+N//znP5g3bx7OnDmDqKioTq9D//79ceONNzZbbsGCBfjkk0/w/fffY+nSpaYh87q+++47vPzyyzhz5gwqKytNxxt6Qjg0NNTstbu7OwAgJCSkweOFhYVmxwMDA+s9SBUZGQnA+MNJQ8GcmJgIIQSee+45PPfccw22Mycnp9lgjoiIqHcsMjISW7ZsMTsml8sRHBxsdiwlJQWBgYFQqVRmx/v162d6vyWfVV5ejtzcXEilUhQVFWHDhg3YsGFDo21qjEQiwd49P8LPzw9zbrweQgBlumqUVlZDo602hXFdE6dMx4LFf4NEIoGziyv6RUVB7eUOTaUero6NflSDUlJS0KtXL0il5kPljf15ENkauwrmqEC35gt1kfbWRaFQYPjw4Rg+fDgiIyOxZMkSbN26FStXruygGrZffn4+Tpw4AQA4d+4cDAaD2T+mBw8exOzZszFu3DisW7cOAQEBcHBwwEcffYTPPvus3vVkMlmDn9PYcdGKh5EaYzAYAAArVqzATTfd1GCZxu6TtoWjo2O9wOlotW1atGgR7r777gbLNHcvdteuXZg6darpiW2V0gEqpQMC3IEqvQEabTVKtdUorTTOb1YHBGLU9RPMrlFQpjNO9YIE6YXG0Q5tlR5CiDZN3SLqLuwqmFs7dGwrhg0bBgDIzMy0cE3MLVu2DBqNBv/617/w1FNP4a233sJjjz1men/79u1QKpXYvXs3HB2vdZs++uijTqlPRkZGvelHCQkJANDoAiy9evUCYBwqbckoQWMuXbpU71hCQkKLFn4JCwvD3r17odFozHrNFy5cML3fks9ydnY2PamsUqmg1+vb1KaioiIcOnSo0RXGHGRSeLko4OWiMP1w5KyQwUUhR7lODwHzH5gEBLTVxl52elEFzmeWwNXRAdWGhn+wCgsLw5kzZ+r9oPfnPw+GO9kqTpeyIfv27WuwF1g7/ahPnz5tum5HT5cCgG3btuHLL7/EK6+8gieffBILFizAs88+awpCwNjTlUgk0OuvDX0mJyfjm2++6dC61Kqursb69etNr3U6HdavXw9fX18MHTq0wXPUajUmTJiA9evXN/iDT25ubos++5tvvkF6errp9bFjx3D06FFMmzat2XOnT58OvV6PNWvWmB3/z3/+A4lEUu8ahw8fxqlTp0yvr169im+//RZTpkyBTCaDTCbDrbfeiu3btzc4v725Nu3ZswcAMGXKlGbrXhuOzgo5eqtdERWoQpi3C7xcFFA08tR2tUGgqEIHyB1RUFSEhGwNMosroNFWwSAEpk+fjpycHHz55ZfXzqmuxjvvvANXV1eMHz/e+JnOzgCMP0gQ2RK76jHbuuXLl6O8vBw333wz+vbtC51Oh0OHDuHLL79Ejx49sGTJElPZ+Ph40/3DxMREFBcX4+WXXwYADBw4ELNmzTKVbe10qYMHD0Kr1dY7PmDAAAwYMAA5OTl44IEHMHHiRFOvas2aNdi3bx8WL16M3377DVKpFDNmzMCbb76JqVOn4i9/+QtycnKwdu1ahIeH448//mjTn1FTAgMD8eqrryI5ORmRkZH48ssvcebMGWzYsKHJOd9r167F2LFj0b9/f/ztb39Dr169kJ2djcOHDyMtLQ2xsbHNfnZ4eDjGjh2LBx54AJWVlXjrrbfg7e2NJ554otlzZ82ahYkTJ+KZZ55BcnIyBg4ciD179uDbb7/F0qVL0bt3b7PyMTExuOmmm/Dwww/D0dER69atAwDTKlgA8Morr2Dfvn0YOXIk/va3vyEqKgoFBQU4deoU9u7di4KCxp/F+P777zF27FjTvfzWkEmlcHeSwt3JAUII4yplldVwUdS/HRE1YBB27/waLz37JGIGDoaTiwtumDIdU265A+Fr12Hx4sU4ceIEevbsiW3btuH333/HW2+9ZRpVcHJyQlRUFL788ktERkbCy8sLMTExHTrVkKhTdMbj4Z3JnqdL/fDDD+Kee+4Rffv2Fa6urkKhUIjw8HCxfPnyeu18++23G53WdPfdd5uV7ajpUrXTUm655RahUqlEcnKy2fnffvutACBeffVV07EPPvhARERECEdHR9G3b1/x0UcfiZUrV4o//68JQCxbtszsWO1UpNdee00Ice27rq3n1q1bTWXHjx8voqOjxYkTJ8To0aOFUqkUYWFh9aZjNDRdSgghLl++LO666y7h7+8vHBwcRFBQkJg5c6bYtm1bk39mdev4xhtviJCQEOHo6Ciuv/56ERsba1b27rvvFi4uLg1eR6PRiEcffVQEBgYKBwcHERERIV577TWRlZXV4J/TJ598YvpzHTx4sNk0pFrZ2dli2bJlIiQkRDg4OAh/f38xadIksWHDhkbbYzAYhFqtFv/+97+bbHdDdWpK7Xe2a/dPIqOoXFzMKhGHL6aJ6XPnCZW7uwAgAoNDTFOxfjmdIObcfofw9PIWCoVCREXHiPc/+KDedQ8dOiSGDh0qFAqFzU+d6g5Th1qrO7S5LdOlJEJ0wBMyXSg+Ph4xMTGIi4tDdHTz94xzcnLqrYplD+yx3U21ecKECcjLy+vQpUlbIjk5GT179sRrr72GFStWdPj1u/p7PnbsGEaOHIn4+PhOnwFQpTegVFsNTaXxQbLqmofWGiOBBE4KGVwd5XB1lMFZIYdU2n3uM69du9a0uI696A5tbm1mARzKJqJWWr16dZdMy3OQSeHpooBnzUNkFVV6U1CXV1bjzz0KAYFyXTXKddXI0RjvbzvXBLWLoxzOChmkfCCMbACDmYhabMSIERgxYkSXf64xZOVwVsihBpCVnQMnN0+UaqugqayGrrp+b1oIgbLKapTVbPghrQlqF0c5XB3lcGJQk5ViMBORzZFKAHcnB7g7GR/aq6zSQ1MTwqWV1dA3MNXKIARKa97PxrWgru1RM6jJWjCYyS7U7lrU1Xr06NEhC51Q0xwdZHB0kMHH1RFCCGirDKaQLtM1H9SAMahf33MRo3p5Y3Qvb8QEuUPWje5Rk+1gMBNRtyKRGB8Cc1LI4KOqDWo9Siv1pqFtfQM/LBmEwP6Ludh/0TiPW+Uox4ieXhjd2xujenkjKsCtWz1MRtaLwUxE3ZoxqOVwUsjhWxPUFVV6Y2+6Jqwb2oRDU1mNny/k4OcLxnXD3Z0cjEHdyxuje3ujj5+KQU2dgsFMRHal7oNkUBl7yhU6PQrLdRgb7oMTKQXQVtV/mKy4ogo/ncvGT+eyAQBeLgqMrOlRj+7ljXC1K5cBpQ7BYCYiuyaVSOBS8wDYJ38dicpqPWKvFuNIUj4OX87HydTCBp/6LijT4Ye4LPwQlwUA8HFVYGTN/enRvb3Ry8eFQU1twmAmIqrDUS7DiJ5eGNHTCw9PioC2So/TqUU4nJSPI5fzcfpqIar09Ye+80p1+P6PTHz/h3FNdbXK0dSbHt3bG6FezgxqapFuv4nF1q1bLV0Fi7DHdrPN9qMr2610kGF0b288NjkSW+4fjT9W3oRP7h2JZRN7Y2iYJ+SN3GfO0VTi2zMZePKrsxj/2n5c98oveOzLM9hy4iquFpR3Wf3J9rDHTETUCk4KGcZG+GBshA8AoKyyGidSCnH4cj4OJ+XjbFoRGtqxMqNYi69Op+Or08ZdxoI9nUy96VG9vBHo4dSVzSArxmAmImoHF0c5xkf6Ynykca9rjbYKx5MLcPhyPo4kFSAuoxgNTWVPK6zA1pNp2HoyDQAQ5u2MUT29Maq3F0b38oG/u7Irm0FWhMFMRNSBVEoH3NDXDzf09QNgfJr72JUCU4/6fGZJg+el5JcjJb8cX564CgDo4e1sXOykpkdN9oPBTETUidydHDA5yg+To4xBXVimw9Erxt704cv5uJitafC85PxyJOeX44vjxqD2lAch7auzGNXLOJda7cYedXfFYCYi6kKeLgpMjQnA1JgAAEBeaSWOXSkwTc+6lFPa4HmF1Q74/FgqPj+WCgDo5etiWj50ZC8vqFUM6u6CwUxEZEE+ro6Y3j8A0/sbgzpXYwzqw0l5OJJUgMRGgjoptwxJuWX47KgxqMPVrhjVywujehmHvn1cHbusDdSxGMxERFbEV+WIGQMCMGOAMahzNFocTSrA+zsOQOMcgKTcsgbPS8wpRWJOKT45YgzqCLWr6R71yJ5e8GZQ2wwGMxGRFVOrlJg1MBCpvxVg2bKFyCnR4kjNw2RHk/KRlNdwUF/KKcWlnFJsPpICAOjjpzL1qEf28oaXi6Irm0Gt0KZgjo+Px/PPP4+TJ08iKysLzs7OiIqKwj/+8Q/MmjXLVG7x4sXYtGlTvfP79OmDCxcutL3WRER2Su2mxOyBgZg9MBAAkF2ixZGk/JpfBbjSSFBfzNbgYrYGmw4bg7qvv8o07D2ypxc8GdRWo03BnJKSAo1Gg7vvvhuBgYEoLy/H9u3bMXv2bKxfvx5Lly41lXV0dMT7779vdr67u3v7ak1ERAAAPzcl5gwKwpxBQQCAzOIKHK154vvIlXyk5De8ytiFLA0uZGmw8VAyAGNQ107NGtnTCx7ODGpLaVMwT58+HdOnTzc79tBDD2Ho0KF48803zYJZLpdj0aJF7aslERG1SIC7E+YODsLcwcagziiqMOtRpzayHGhtUH/0ezIkEqCfv5vpHvWIHl5wd3boymbYtQ67xyyTyRASEoLjx4/Xe0+v16OsrAxubm4d9XFERNQCgR5OuGVIMG4ZEgwASCssx9GkmulZSflIK6yod44QwLnMEpzLLMGHv1+BRAJEBbhhdC9vjIv0xeje3nCQdfutFiymXcFcVlaGiooKFBcXY8eOHfjhhx8wf/58szLl5eVwc3NDeXk5PD09sXDhQrz66qtwdXVt9vo5OTnIzc01O5aYmNieKhMR2bVgT2cED3XGrUONQX21oNzUmz6SlI/0ooaDOj6jBPEZJXj/tytwd3LAjf38MC3GH2MjfKB0kHV1M7o1iRANreLaMvfffz/Wr18PAJBKpbjllluwYcMGeHp6AgCeeuopCCEwZMgQGAwG/Pjjj9i0aROuu+467N+/H3J50z8XPP/883jhhRcafO+ZZ55BQEBAs3UsLCw01cee2GO72Wb7YY/t7qo2F1XLcVWrxNVKJVIrldDom/532kFiQG9lBSKdy9BTWQGFtM2RUk93+J4zMzOxatUqxMXFITo6ukXntCuYL1y4gLS0NGRkZGDLli1QKBR499134efn1+g5q1evxjPPPIPPP/8cCxYsaPL6jfWY586d2+JGrl27FsuWLWtZg7oRe2w322w/7LHdlmizEAJXCypMw94HL+Uhr7Sy0fKOcinGR/piaow/JvXzg7tT++5Ld4fvOT4+HjExMa0K5nYNZfft2xd9+/YFANx1112YMmUKZs2ahaNHjza6Ifijjz6K5557Dnv37m02mNVqNdRqdXuqSEREbSSRSBDq7YxQb2fcPjwEeoPAqdRC/HA2C7vjs+oNe1dWG7DnXDb2nMuGg0yCMb19MC3GH5Oj/LjASSt06AIj8+bNw3333YeEhAT06dOnwTJOTk7w9vZGQUFBR340ERF1MplUguE9vDC8hxeem9kPZ9OL8UNcFn6My6o3f7pKL3AgIRcHEnLx9NdnMaKnF6bFBOCmaH9uadmMDg3migrjT0/FxcWNltFoNMjLy4Ovr29HfjQREXUhiUSCAcEeGBDsgSdu6oOL2Rr8WBPSF7LMd8wyCNQ8XFaAlTviMSTUA1Nj/DEtJgAhXs4WaoH1alMw5+Tk1BtirqqqwscffwwnJydERUVBq9WiqqoKKpXKrNxLL70EIQSmTp3a9loTEZHVkEgk6Ovvhr7+bvj7jZFIyi3Fj/HGkP4jrX5H7VRqEU6lFmH1rguIDnTDtBh/TI3xR7ha1cDV7U+bgvm+++5DSUkJxo0bh6CgIGRlZeHTTz/FhQsX8MYbb8DV1RXJyckYPHgwFi5caLoPvXv3buzatQtTp07FnDlzOrQhRERkHXr5uuLBCeF4cEI40osqanrSmTiRUog/P25cOw3r9T0JCFe7mkI6KsB+171oUzDPnz8fH3zwAd59913k5+dDpVJh6NChePXVVzF79mwAgIeHB2bOnImffvoJmzZtgl6vR3h4OFavXo0VK1ZAKuXkdCKi7i7Iwwn3ju2Je8f2RI5Giz3x2fgxLguHk/KhN5indGJOKd75JRHv/JKIUC9n+FV5YnRqIQYFe0AqbfiB4u6oTcG8YMGCZp+o9vDwwObNm9tUKSIi6n7UKiUWjQrDolFhKCzT4afzxpD+7VIedHqDWdnUgnKkwh23rDsEfzclptb0pIf38IKsm4c0t30kIqIu5+miwO3DQnD7sBBotFX45UIOfozLwv6Luaio0puVzSrRYuOhZGw8lAxvFwWmRPthakwARvfyhkLe/UZfGcxERGRRKqWDaYesCp0eBxJy8WNcJnbFpkEnzIM3v0yHz49dxefHrsLHVYGHJobjLyPDulVAd5+WEBGRzXNSyDA1xh9vLRiMZUGp+GjxcNw+LBieDexulVeqw/M7z+HGNw/g2zPpMBg6bjlQS2KPmYiIrJJcAkzsq8bEvmpU6w04dqUAP8QZVx3L0VxbGjS1oByPfHEG6w8k4f+m9cW4CJ9GV5+0BewxExGR1ZPLpBgT7oOX5sbgyFOT8OHiYejrbz7v+VxmCe7+8BjueP8oYq8WWaaiHYDBTERENkUqleCGvn7Y9fD1+M/8gQjycDJ7/9DlfMxZ+zuWfXqq3lKhtoDBTERENkkqleDmwcH4ZcV4PDczqt596O/PZmLymwfw7DdnkaPRWqiWrcdgJiIim+Yol+HesT1x4ImJWH5DOJwcZKb3qg0CnxxJxfh/78cbey5Co62yYE1bhsFMRETdgpvSAY9P6YMD/5iARaNCzRYiqajS451fEjH+tf348LcrqKzWN3Ely2IwExFRt6J2U+Lluf2x97HxmDEgwOy9gjIdXvzuHCa9cQBfn06zyilWDGYiIuqWevq4YO1fhmDHQ9dhTG9vs/fSCivw6JexmPHOb9h3MQfiz7trWBCDmYiIurUBwR749K8j8fE9I+rtWnU+swRLPjqOhf87gtOphRaqoTkGMxERdXsSiQTjIn3x3fKxeHvBIIR4mU+xOpJUgJvXHcIDn5xEYZnOQrU0YjATEZHdkEolmDMoCD8/NgHPz4qCt4vC7P0f4rLw0vfnLFQ7IwYzERHZHYVcisXXGadYPTIpAs6Ka1OsTqZYdkibwUxERHbL1VGORydH4uW5MaZjqQXl0FZZbjoVg5mIiOxepN+1dbeFABJzSi1WFwYzERHZvXC1K+puSHUpR2OxujCYiYjI7ikdZAj1cja9vpTNHjMREZFFRaivDWcnMJiJiIgsK9LP1fR7DmUTERFZWESdYLbkk9kMZiIiIpgPZVvyyWwGMxEREeo/mW2pYJZb5FOJiIisyPHkAvz350uou8lUUi6DmYiIqMsIIXA4KR/v/JyIw0n59d4P8HBq4KzOx2AmIiK7IoTAwUt5+O/Pl3CigXWxXRQy/G1cL8wfFmKB2jGYiYjITggh8MuFHPz3l0TEXi2q975KKceS63rinut6wMNZUf8CXYTBTERE3ZrBILDnXBbe+SUR8Rkl9d73cHbAvdf1xN3X9YCb0sECNTTHYCYiom5JbxDYdTYTa35JxMXs+guGeLso8LdxvbBoVBhcHa0nDq2nJkRERB2gWm/Azj8ysOaXRFzOLav3vlrliPvG98ZfRoTCqc4+zNaCwUxERN1Cld6Ar0+lY+3+RKTkl9d7P9Bdifsn9Mbtw0KgdLC+QK7FYCYiIptWWa3H1hNpeHf/ZaQXVdR7P8TLCQ9OCMetQ4KhkFv/uloMZiIisknaKj2+OJaK9w4kIatEW+/9nj4ueHBCb8wdHAQHmfUHci0GMxER2ZSsYi2++yMD639NQq6mst774WpXLL8hHDMHBEImlTRwBevGYCYiIqtVWa3HuYwSnEotwqnUQpxOKURGcf3eMQD09Vdh+Q0RmBbjD6kNBnItBjMREVmNrGItTqUW4lRKIXZl++Pt5/dAV21o8pz+Qe5YfkM4buznZ9OBXIvBTEREFqGrNiA+o7iJ3rASQOOhPDTMEw/dEI4Jkb6QSGw/kGsxmImIqEtkl2hxKqXQ2CNOLcLZ9OJme8O1lA5SDAjywOAwDwwJ9cTgUA+oVcpOrrFlMJiJiKjD6aoNOJdZYgri06lFDU5lakywpxNUlbmYP2kEhoR5ol+Am009Wd0eDGYiImq3nBKtqSd8KqUQZ9OLUdnC3rCjXIoBwe41PWFPDAkz9obXrl2Lxdf17OSaWx8GMxERtYqu2oDzmSVmQdza3vDgUE8MCTUOS/cLcLOJhT+6SpuCOT4+Hs8//zxOnjyJrKwsODs7IyoqCv/4xz8wa9Yss7Lnz5/Ho48+it9++w0KhQIzZszAm2++CV9f3w5pABERda4O7Q2HekDt1j3vDXeUNgVzSkoKNBoN7r77bgQGBqK8vBzbt2/H7NmzsX79eixduhQAkJaWhnHjxsHd3R2rV69GaWkpXn/9dZw9exbHjh2DQmG5/S6JiKi+Kr2hZt5w23rDQR5OGBLG3nB7tCmYp0+fjunTp5sde+ihhzB06FC8+eabpmBevXo1ysrKcPLkSYSGhgIARowYgcmTJ2Pjxo2mckREZBk5Gi1OpRThdKrxIa0/0lreG1bIpRgQ5G4WxOwNt1+H3WOWyWQICQnB8ePHTce2b9+OmTNnmkIZAG688UZERkZiy5YtDGYioi5UrqvGhSwN/rhaZJo7nFbYut7w4JoAHhLmiSj2hjtFu4K5rKwMFRUVKC4uxo4dO/DDDz9g/vz5AID09HTk5ORg2LBh9c4bMWIEdu3a1Z6PJiKiJuSXVuJcZgniM0pwLqME8RnFuJJXBoNo2fkKuRT9g9xNPeEhYZ7wY2+4S7QrmB9//HGsX78eACCVSnHLLbdgzZo1AIDMzEwAQEBAQL3zAgICUFBQgMrKSjg6OjZ6/ZycHOTm5podS0xMbE+ViYi6FSEE0gorEJ9RXCeESxrcbakpQR5OGFQbwqEeiA50Z2/YQtoVzH//+98xb948ZGRkYMuWLdDr9dDpdACAigrj8EhDwatUKk1lmgrmdevW4YUXXmjwvc8//7zB0P+zwsJCrF27ttly3Y09tpttth/22O7CwkL8d81a5Fc5IKdKgRydY81/FagUrQtQGQT8FJUIdKxEoML4SyXXA4WAthA4FAsc6qR2tEZ3+J5rO6mt0a5g7tu3L/r27QsAuOuuuzBlyhTMmjULR48ehZOTEwCgsrL+llxarfEnudoyjXnwwQdx2223mR1LTEzE3LlzsXDhQkRHRzdbx7Vr12LZsmUtak93Yo/tZpvthz20u7SyGhdqhqLjM4pxIOsyCjOdoNO37MGsWm5KOaIC3RAd6I6oADdEB7mht6+rTayi1R2+5/j4eKxatapV53ToAiPz5s3Dfffdh4SEBFNvtqGfFjIzM+Hl5dVkbxkA1Go11Gp1R1aRiMjq5Gi0piHoc5nG4ejk/DIIs/vBjmhqQwcACHBXIjrQDVG1IRzohmBPp261wYM96NBgrh2+Li4uRp8+feDr64sTJ07UK3fs2DEMGjSoIz+aiMjqGQwCKQXlpoexaoM4V1N/ZLEpUgnQy9cV0YHG8I0KcEdUoBu8XLg2RHfQpmDOycmp15OtqqrCxx9/DCcnJ0RFRQEAbr31VmzatAlXr15FSEgIAODnn39GQkICHn300XZWnYjIelVW63Epu9QUwucyS3A+U4PSyupWXcdRLkXfADeg4Cpumzwa0YFu6OvvBieFrJNqTpbWpmC+7777UFJSgnHjxiEoKAhZWVn49NNPceHCBbzxxhtwdXUFADz99NPYunUrJk6ciEceeQSlpaV47bXX0L9/fyxZsqRDG0JEZCkl2iqcq/NE9LnMElzK1qC6pXOTang4O9T0gq8NRff0cYFcJsXatWuxaFRYJ7WArEmbgnn+/Pn44IMP8O677yI/Px8qlQpDhw7Fq6++itmzZ5vKhYSE4MCBA3jsscfw5JNPmtbKfuONN5q9v0xEZG2EEMguqcS5zGLEp18L4dSC8lZfK9jTqSZ83WseznJDgLuS94OpbcG8YMECLFiwoEVlo6OjsXv37rZ8DBGRxegNAlfyymoW6Sg29Yjzy3Stuo5MKkGE2hVRAW6ICjT+ig5wh7uzQyfVnGwdt30kIrunrdLjYpbGFMLxGSW4kKlBRZW+VddxcpChX4AK0YHuNU9HuyHSTwWlA+8HU8sxmInIrgghkFpQjlOphTiZUohTKUW4mK2BvpX3g71dFKb5wbUh3MPbBTIph6KpfRjMRNStaav0+COt2BjCqYU4nVqIvNLWDUeHeTubHsaqvSesVjnyfjB1CgYzEXUbQgikF1WY9hE+lVqIcxklLX462kEmQYRaZXoYKyrADf0C3eCm5P1g6joMZiKyWZXVesSll5hC+FRqIbJLWr5YR7jaFUNDPTE41AMxQe6I8HOFo5z3g8myGMxEZDOyS7Q4mVKIfYWe2Lvud8Snl7R47WhXRzkGhXgYtzEM88TgEE8+GU1WicFMRFapSm/AuYwS00Nap1OLkF5UUfOuO1Ba1OT5PX1cavYRNm5lGOmn4oNZZBMYzERkFXI1labh6NMpRYhNK0Jldct6w04OMgwMcceQUE8MDfPE4FBPrhtNNovBTERdrlpvwIUsDU7XTllKLWrV6lnusipM7B+GIWGeGBLqib7+KshtYBtDopZgMBNRpyss0+H01WvzhmPTilCua9niHY5yKQYEu9cMSxsf1Nr68QdYtmBu51aayEIYzETUofQGgUs5GpxKKTIOTacUIimvrMXnB7orMTjME0NrgjgqwA0KOXvDZD8YzETULsUVVThz9dq84TOpRdC0cGtDB5kEMUE1veGaB7UC3J06ucZE1o3BTEStoq3SY//FHOy/mItTqYW4lFMK0cLVLNUqR9MDWkPCPBAd6M51pIn+hMFMRM2q0hvwe2IedsZmYk98Vot6xDKpBNGBbhhSs4DH0DBPBHk4cRlLomYwmImoQQaDwImUQuyITceus1koaGa7Q28XBQbX9oZDPTAg2ANOCvaGiVqLwUxEJkIIxKWXYEdsOr77IxOZxdpGy4Z6OWNcpI9paDrUy5m9YaIOwGAmIiTmlGJHbAZ2xmbgShNPUKtVjpg5IBCzBwViYLA7g5ioEzCYiexUWmE5vvsjEzvOZOBcZkmj5TycHTAtJgCzBwZiRE8vLmtJ1MkYzER2JFdTiV1nM7EjNgMnUwobLeeskGFKlB9mDwrE2HBfziMm6kIMZqJurriiCrvjsrDzjwz8npiHxrYmVsilmNjHF7MHBuGGvmo+uEVkIQxmom6oQqfH3vPZ2BGbgQMXcxvdGlEmleC6cB/MGhCAm2L84abkNohElsZgJuomdNUG/JqQix2xGdh7PrvJtaiH9/DE7IGBmNY/AD6ujl1YSyJqDoOZyIYZBHAoMQ87YjPwQ1wWiiuqGi0bE+SG2QMDMWNAIII8uOwlkbViMBPZoOKKKqz55RI+ywhG2ftHGy3Xy9cFswcGYtbAQPT2de3CGhJRWzGYiWyMRluFv/zvCOIzStDQX+EgDyfMHGic3hQV4Ma5xkQ2hsFMZEMqq/W4b/PJmlC+xsdVgRn9AzBrYCCGhHpCyrnGRDaLwUxkIwwGgce2xOLQ5XzTMT+HSrx+1/UY3csbchnnGhN1BwxmIhsghMCL353D939kmo718nHBNEUqro/wtWDNiKij8UdsIhuwbv9lbDyUbHqtVjli0z0j4CxreH4yEdkuBjORldty4ipe233R9FrlKMeme0YgxMvZgrUios7CYCayYj+fz8ZTX501vVbIpfjf3cPQL8DNgrUios7EYCayUidTCrHss1PQ1yxuLZEAb88fhFG9vC1cMyLqTAxmIiuUmKPBvZuOQ1t17R7yS3NiMK1/gAVrRURdgcFMZGUyiytw1wfHUFR+bXnNhydFYNGoMAvWioi6CoOZyIoUl1fh7g+PIaNYazq2cEQoHr0xwoK1IqKuxGAmsiKPbTmDhOxS0+spUX54aU40l9UksiMMZiIroas2YH9Crul1Lx8X/HfhYK7oRWRn+DeeyEoo5FKM6X3tieuUgnIk55dZsEZEZAkMZiIrsnJWFBxkxmFrvUHg2a/jYKiZLkVE9oHBTGRFwtUq/PX6XqbXJ1IKsf1UmgVrRERdjcFMZGWW3xCOIA8n0+t//XABReU6C9aIiLoSg5nIyjgr5Fg5K8r0uqBMh3/XWSubiLq3NgXz8ePH8dBDDyE6OhouLi4IDQ3F7bffjoSEBLNyixcvhkQiqferb9++HVJ5ou5qcpQfJvVVm15/fiwVp1MLLVgjIuoqbdqP+dVXX8Xvv/+O2267DQMGDEBWVhbWrFmDIUOG4MiRI4iJiTGVdXR0xPvvv292vru7e/tqTdTNSSQSPD87Gr8l5qGy2gAhgGe/icOOh8ZCJuWcZqLurE3B/Nhjj+Gzzz6DQqEwHZs/fz769++PV155BZ988sm1D5DLsWjRovbXlMjOhHg5Y/kN4Xh9j3EkKj6jBJ8cScHdY3pYtmJE1KnaNJQ9ZswYs1AGgIiICERHR+P8+fP1yuv1epSUlLSthkR27G/jeqGXj4vp9eu7LyJHo23iDCKydR328JcQAtnZ2fDx8TE7Xl5eDjc3N7i7u8PLywvLli1DaWlpI1choroc5TK8OOfarSFNZTWe+yYO2iq9BWtFRJ2pTUPZDfn000+Rnp6OF1980XQsICAATzzxBIYMGQKDwYAff/wR69atQ2xsLPbv3w+5vOmPz8nJQW5urtmxxMTEjqoykU0YG+GDWQMDsTM2AwCwOz4bN755AM/OiILg2iNE3Y5EiPb/1b5w4QJGjhyJ6OhoHDx4EDKZrNGyq1evxjPPPIPPP/8cCxYsaPK6zz//PF544YUG33vmmWcQEND83rSFhYXw9PRstlx3Y4/t7s5tLtXL8FFWILQG879bQbIS3OSrgbdDVSNndk/d+btuDNtsmzIzM7Fq1SrExcUhOjq6Ree0O5izsrJw3XXXoaqqCkeOHEFgYGCT5SsqKuDq6oolS5bUe1r7zxrrMc+dO7fFjVy7di2WLVvWfEO6GXtsd3dv84WsEvzf9rOIvVpkdlwuleCesT2x/IZwqJQOlqlcF+vu33VD2GbbFB8fj5iYmFYFc7uGsouLizFt2jQUFRXh4MGDzYYyADg5OcHb2xsFBQXNllWr1VCr1c2WI7IHff3d8PUDY7DtVBr+/eMF5JUaVwOrNghs+DUJX59Ox1PT+uLmwUHcJpLIhrX54S+tVotZs2YhISEB3333HaKiopo/CYBGo0FeXh58fX3b+tFEdksqleD2YSH4ZcUE3HNdT0hwbcArV1OJx7bEYt57hxGXXmzBWhJRe7QpmPV6PebPn4/Dhw9j69atGD16dL0yWq0WGo2m3vGXXnoJQghMnTq1LR9NRADclA7456woLPbPMNsqEgBOphRi1prf8PTXZ1FYxjW2iWxNm4ayH3/8cezYsQOzZs1CQUGB2YIiALBo0SJkZWVh8ODBWLhwoWkJzt27d2PXrl2YOnUq5syZ0/7aE9k5H4cq/POvI/FDXBZe/u4cMoqNc5yFAD47morv/8jEipv64C8jQrliGJGNaFMwnzlzBgCwc+dO7Ny5s977ixYtgoeHB2bOnImffvoJmzZtgl6vR3h4OFavXo0VK1ZAKuX+GUQdQSKRYHr/AEzso8a7+xPx3q9J0FUbAADFFVV47ps4fH40FS/MicbwHl4Wri0RNadNwbx///5my3h4eGDz5s1tuTwRtYGTQobHpvTBvKEheOn7c/jpXLbpvXOZJbjtvcOYOygQT03vBz83pQVrSkRNYbeVqJsJ9XbG/+4aho1Lhpst5wkA35zJwA2v78d7By6betVEZF0YzETd1IQ+avz493F4alpfuCiuLUxSptPjlR8uYOpbv2LfhRwL1pCIGsJgJurGFHIp7hvfG7+smIC5g8zXGUjKK8OSjcdx94fHcCm7/gwKIrIMBjORHfBzU+KtBYOx9f7RiApwM3vvQEIupr59EM/viEdROadXEVkag5nIjgzv4YWdy8fi5bkx8HK5tnWr3iCw8VAyJry+H5sOJaNKz/vPRJbCYCayMzKpBItGhWHfign469iekNeZ31xUXoWVO+Ix7e2DOJCQ28RViKizMJiJ7JS7kwOenRmFPY+Ow6S+5mvSJ+aU4u4Pj2HJR8dwOZf7pxN1JQYzkZ3r5euKDxYPx8f3jECE2tXsvX0Xc3HTf37FizvPobjcvraWJLIUBjMRAQDGRfrih0eux4tzouHhfG37yGqDwIe/X8GE1/dh85EUVPP+M1GnYjATkYlcJsVdo3tg/4oJWDymh9n62oXlxuU9Z/z3N/x2Kc+CtSTq3hjMRFSPh7MCz8+Oxu6/X4/xkeZbtF7M1mDRB0fx100ncCWvzEI1JOq+GMxE1KhwtQqb7hmBj5YMR29f8+U9957PxpT/HMDqXedRouX9Z6KOwmAmomZNrFne858zo+CmvLb3TZVeYMOvSZj42n58cSwVQggL1pKoe2AwE1GLOMikuGdsT+z/x0TcNTrM7P5zfpkOT351Fv/9OdGCNSTqHhjMRNQqXi4KvDgnBj88cj2uj/Axe+/tnxNwIrnAQjUj6h4YzETUJpF+Knx8zwisv3MoHGTG3rNBAI98cYb3nInagcFMRG0mkUhwU7Q//nFTH9Ox9KIK/PObOAvWisi2MZiJqN3+OrYXrgv3Nr3+5kwGvjmdbsEaEdkuBjMRtZtUKsEbtw0yWzHsuW/icLWg3IK1IrJNDGYi6hD+7kq8cssA02tNZTX+/uUZLuFJ1EoMZiLqMFNj/LFwRIjp9cmUQqzdd9mCNSKyPQxmIupQz82MQi+fa6uE/feXSziZUmjBGhHZFgYzEXUoZ4Ucby8YDHnNAiR6g8DfvzwNDadQEbUIg5mIOlz/YHc8PuXaFKqrBRVY+W28BWtEZDsYzETUKZaO64VRvbxMr786nY5TqRzSJmoOg5mIOoVMKkGYl/mOVJlFWgvVhsh2MJiJqFN8eTwVX564anrdx0+FSf3UFqwRkW1gMBNRh/sjrQjP1bmnrFLKsf7OoVA6yCxYKyLbwGAmog6VX1qJ+zefhK762sIib80fhB4+Lk2cRUS1GMxE1GGq9QY8/MVpZBRfu5f8yKQITOrnZ8FaEdkWBjMRdZjX9lzE74n5ptcT+/jikUkRFqwRke1hMBNRh/jhbCbWH0gyvQ71csZb8wdDWrPQCBG1DIOZiNrtUrYGK7bGml4rHaRYf+dQuNfZbYqIWobBTETtotFW4b7NJ1Gm05uOvXrrAPQLcLNgrYhsF4OZiNrMYBB4fEsskvLKTMeWXNcDcwYFWbBWRLZNbukKEJHt0RsE9l3IwcdHUvBrQq7p+IgeXnh6ej8L1ozI9jGYiajFMosr8OXxq/jy+FVkFpsvr+nn5og1dwyGg4wDcUTtwWAmoibpDQIHEnLw2dFU/HIhBwZRv4xKKce6O4ZCrVJ2fQWJuhkGMxE1KKtYiy0njL3j9KKKBssEuCsxf3gIFo4IhZ8bQ5moIzCYichEbxD49VKuqXesb6B7LJUAE/uo8ZeRoZjQRw0Z5ykTdSgGMxEhu0SLLcev4osmesf+bsbe8fzhIQj0cOriGhLZDwYzkZ0yGAQOJubhs6Mp2Hu+4d6xpKZ3vHBEKCb28YWcD3YRdbo2BfPx48exadMm7Nu3D8nJyfD29saoUaPw8ssvIzIy0qzs+fPn8eijj+K3336DQqHAjBkz8Oabb8LX17dDGkBErZOj0WLriTR8fiwVaYUN94793Bwxf3go5g8PQRB7x0Rdqk3B/Oqrr+L333/HbbfdhgEDBiArKwtr1qzBkCFDcOTIEcTExAAA0tLSMG7cOLi7u2P16tUoLS3F66+/jrNnz+LYsWNQKBQd2hgiapjBIPBbYh4+O5qKveezUd1I73h8pC/+MiIUN/RVs3dMZCFtCubHHnsMn332mVmwzp8/H/3798crr7yCTz75BACwevVqlJWV4eTJkwgNDQUAjBgxApMnT8bGjRuxdOnSDmgCETUmV1OJrSev4otjV5FaUN5gGbXK0XTvONjTuYtrSER/1qZgHjNmTL1jERERiI6Oxvnz503Htm/fjpkzZ5pCGQBuvPFGREZGYsuWLQxmok5gMAgcupyPz46lYE98473jcRG+WDgiFJP6qbkoCJEV6bCHv4QQyM7ORnR0NAAgPT0dOTk5GDZsWL2yI0aMwK5duzrqo4nsmhACGcVaxF4tQuzVIvwYn4WU/IZ7x74qR8wfZuwdh3ixd0xkjTosmD/99FOkp6fjxRdfBABkZmYCAAICAuqVDQgIQEFBASorK+Ho6NjoNXNycpCbm2t2LDExsaOqTGSTisp1iE0rRuzVInybq8ZHq/Yir1TXaHmJBLg+whd/GRGCSf382DsmsnIdEswXLlzAsmXLMHr0aNx9990AgIoK49OeDQWvUqk0lWkqmNetW4cXXnihwfc+//zzBkP/zwoLC7F27dpmy3U39tju7tjmKoMEOVUKZOkUyNQ5IlPniKLqunscOwNoOJSdpXr0d9FggGspPCqScfnAcVw+0CXV7nTd8btuDttsm2o7qa3R7mDOysrCjBkz4O7ujm3btkEmkwEAnJyMUywqKyvrnaPVas3KNObBBx/EbbfdZnYsMTERc+fOxcKFC03D5k1Zu3Ytli1b1qK2dCf22G5bb7PeIHA5txRnaoakY9OKcCFT0+A94saEejljYIgHpsX4Y3JU9+0d2/p33RZss22Kj4/HqlWrWnVOu4K5uLgY06ZNQ1FREQ4ePIjAwEDTe7W92YZ+WsjMzISXl1eTvWUAUKvVUKvV7akikVX6833hM1eLEJdejDKdvsXX8HJRwENfhNljB2JgiAcGBnvAy4VTEIlsXZuDWavVYtasWUhISMDevXsRFRVl9n5QUBB8fX1x4sSJeuceO3YMgwYNautHE9mc4vIqxKZd6wmfuVqMvNL6o0mNUTpI0T/IHQODPTAwxAODQjwQ7OmEdevWYdmNkc1fgIhsRpuCWa/XY/78+Th8+DC+/fZbjB49usFyt956KzZt2oSrV68iJCQEAPDzzz8jISEBjz76aNtrTWTFtFV6nMssMfWGY9OKcSWvrMXnSyVAH383DAx2N/WEI/1cueAHkZ1oUzA//vjj2LFjB2bNmoWCggLTgiK1Fi1aBAB4+umnsXXrVkycOBGPPPIISktL8dprr6F///5YsmRJ+2tPZGF/vi/8R1oxzmeWtOq+cIiXEwYGG3vBA0M8EB3oBmcFl7Ensldt+tt/5swZAMDOnTuxc+fOeu/XBnNISAgOHDiAxx57DE8++aRprew33nij2fvLRNZGCIHMmvvCZ2qGpc+mte6+sKezg6kXPCjEAwOC3eHtyr8LRHRNm4J5//79LS4bHR2N3bt3t+VjiCyquLwKf6TXPpxVjNi0IuRqWn9feEDtfeFgD4R4OUEi4f7FRNQ4jpcRoWPuC0f6qUzD0bwvTERtxWAmuyKEQFaJFgnZpbiUrcGl7FKcyyxp9X3hYE8nUy94YIgHYoJ4X5iIOgb/JaFuSQiB7JJKJGRrkFATwAk5GiRml0JTWd2qa9W9LzwwxDg07cP7wkTUSRjMZNOEEMjRGAP4hMYNT27/wxjEOaXQaFsXwADgKK+ZLxzC+8JEZBkMZrIJtQF8Kbu0Jng1puHoElMAewHHr7b4miqlHJF+KkT6uaJ/kLE3HOmn6rbLWBKRbWAwk1URQiBXU2kM3Trhm2AWwK2jcpQjws8VkX4qRNQEcaSfCmqVI3vCRGR1GMxkEUII5JbW7QHXBnApiiuq2nRNhcSA6BAvRKpVpiCO9FPBz40BTES2g8FMnUoIgbxSnanXm5BTisSaB7GKytsWwK6OcoSrXU0939pe8PbNH+KhB2d1cAuIiLoWg5k6hBAC+WW6a09A1/z3Uo4GhW0MYBeFDBF+KkSoawPY+N8Ad2WDPWB2iomoO2AwU6vl1QxBG+8BX7sP3J4ADvdTIVLtigg/15oesAqBjQQwEVF3xmCmRuWXGh/CSqx5CKv2XnBBma5N13NWyBChdjUNPUfU3AsOdHeCVMoAJiICGMwEoMA0BG0M3tph6Pw2BrCTg8zY81XXBHDN74M8GMBERM1hMNsRbZUe8RnFOJepMS1HeSlHg7zStgdweM3wc2SdXjADmIio7RjM3ZReAHHpxh2R/rhajD/Si5GQrYG+FetB11I6SI1PQatVZsPQwZ4MYCKijsZg7gb0BoHLuaX4I60Yf6QZd0aKSwvDm+/81qrrOMprArj2CWi18SEsBjARUddhMNsYIQRSC8oRm1aMszUhHJ9ejDKd/k8lGw9ShVyKcF/Xmvu/KtMwdLCnM2QMYCIii2IwW7HaLQpre8LG/xa3amUsB5kEff3d0D/YHQODjTsjRai5TzARkbViMFuRgjIdYtOKcLbOkHSuprLF50skQITaFQOCPVB4ORbL75iNvv4qKB1knVhrIiLqSAxmC9Foq3A2vdisN5xWWNGqa4R5O2NAsIepJxwd6AYXR+NXunbtbxgU4tEJNScios7EYO4CtdOUaoeiY9OKkJRb1qprBLgrTfsEDwh2R/8gd3g4KzqpxkREZCkM5g5WpTfgYpamXdOUvFwUGFDTCx4Q5I4BIe5Qq5SdWGsiIrIWDOZ20BsEknJLEVvnnvD5zBLoqg0tvobKUY6YmvAdGOyB/kHuCPZ04hrRRER2isHcQi2fptQ4pYMU0YHuNb1hY4+4p7cL5wgTEZEJg7kRQggcupyPQ5fz2jRNSS6VoG+AyvRwVv8gD0T6cZoSERE1jcHciA2/JuFfP1xoUdnaaUr9gzwwMMTYE+Y0JSIiagsGcwPOZ5bg9T0XG32/dprSgCDjkHRMkLtpmhIREVF7ME3+pEpvwONbYlGlNz5FLZUAN/bz4zQlIiLqEgzmP1nzSyLOZZaYXt8/vjeemNrXgjUiIiJ7wieR6ohLL8bafYmm1338VHjkxggL1oiIiOwNg7lGZbUej2+JRXXNQiAyqQRv3D4QjnI+wEVERF2HwVzj7b2XcDFbY3q9bGI4YoLcLVgjIiKyRwxmAGeuFuG9A5dNr6MC3PDQxHAL1oiIiOyV3QeztkqPx7ecQe1S1g4y4xC2Qm73fzRERGQBdp8+b+y5iMt1dnp6ZFIE+gW4WbBGRERkz+w6mE8kF+D9366YXg8Idsf943tbsEZERGTv7DaYtVV6rNgaC1FnN8bVN/fnWtZERGRRdptCp1IKkZxfbnZswYYjeGzLGey/mINqfcu3biQiIuoodrvyV7ifK9yUcpRoq03HSiur8dWpdHx1Kh1eLgrM6B+A2YMCMTTUk1szEhFRl7DbYFarlPjh7+Pw+dFU7IjNQGqBee+5oEyHzUdSsPlICgLdlZg1MBCzBgYiOtANEglDmoiIOofdBjMABHk4YcVNffD4lEjEphVjx5kMfPdHBnI0lWblMoq1WP9rEtb/moRevi6YPTAQswcGopevq4VqTkRE3ZVdB3MtiUSCQSEeGBTigWdm9MPRK/nYGZuBXWezUFxRZVY2KbcMb+29hLf2XkJMkBtmDwzEzAGBCPRwslDtiYioO2Ew/4lMKsGY3j4Y09sHL8yOwcFLudgRm4E98dmoqNKblY1LL0FceglW77qAET28MGtQIGb0D4CXC7eFJCKitmnzU9mlpaVYuXIlpk6dCi8vL0gkEmzcuLFeucWLF0MikdT71bev9W+lqJBLMamfH95eMBgnn7sR/104GDf284ODrP495mPJBXjumzgMX7UXd394DF+dSkNpZXUDVyUiImpcm3vMeXl5ePHFFxEaGoqBAwdi//79jZZ1dHTE+++/b3bM3d22NohwVshN95aLy6vwY3wmdsRm4PDlfNNyngCgNwgcSMjFgYRcOMrPYlI/NWYPDMSEPmooHbhTFRERNa3NwRwQEIDMzEz4+/vjxIkTGD58eOMfIpdj0aJFbf0oq+Pu7ID5w0Mxf3gocjRafP+HMaRPpxaZlausNmDX2SzsOpsFlaMcU6L9MXtQIK7r7c2FTIiIqEFtDmZHR0f4+/u3uLxer0dZWRnc3LrXOtRqlRJLruuJJdf1xNWCcuyIzcDO2AxcyNKYldNUVmP7qTRsP5UGbxcFpnOONBERNaBLHv4qLy+Hm5sbysvL4enpiYULF+LVV1+Fq2v3mm4U4uWMZRPDsWxiOBKyNdhxJqPBOdL5f5ojPa1/AAaFeKB/kDtCvZwZ1EREdqzTgzkgIABPPPEEhgwZAoPBgB9//BHr1q1DbGws9u/fD7m88Srk5OQgNzfX7FhiYmJnV7lDRPqpWjxH+oM6G2moHOWICnRDTJA7YoLcEBPojl6+rpAxrImI7IJEiLrbOLRN7T3mjz76CIsXL262/OrVq/HMM8/g888/x4IFCxot9/zzz+OFF15o8L1nnnkGAQEBzX5WYWEhPD09my3XFQwCSKtU4ny5CxIqnKE1tOxhMAeJAb4OOvgpdPBz0MFPUQlvhyo08HC4iTW1u6uwzfbDHtvNNtumzMxMrFq1CnFxcYiOjm7RORYJ5oqKCri6umLJkiX1ntauq7Ee89y5c1vcyLVr12LZsmXNlutqumoDDl7KxXd/ZOJUaiFS/rShRnMUcin6+qsQHeiO/jW960g/lenJb2ttd2dim+2HPbabbbZN8fHxiImJaVUwW2SBEScnJ3h7e6OgoKDJcmq1Gmq1uotq1bVq50hP6ucHACgur0J8ZjHi00sQl1GMuPRiJOWVobEfm3TVBvyRVow/0orxec0xuVSCCD8VYgLdUKBR4WRKAfoFuMFZwXVkiIhshUX+xdZoNMjLy4Ovr68lPt4quTs7mFYcq1VWWY1zmSWISy9GXHoJ4jOKcSmnFHpDw2ldbRA4n1mC85klALzx87uHIZUAvX1dERPkjuiae9dRgW5wUzp0UcuIiKg1OjWYtVotqqqqoFKpzI6/9NJLEEJg6tSpnfnxNs/FUY7hPbwwvIeX6Zi2So8LWZqasC5GXEYxLmZpUKVvOKwNAriUU4pLOaX4+nS66XgPb+eaB8zcERNoDG1PLiVKRGRx7QrmNWvWoKioCBkZGQCAnTt3Ii0tDQCwfPlyFBYWYvDgwVi4cKFpCc7du3dj165dmDp1KubMmdPO6tsfpYPMtOFGLV21AQnZGsRnGHvWcRnFOHu1ANWi8UVMkvPLkZxfju/+yDQdC/JwMj0JHhNsDGxflWNnNoeIiP6kXcH8+uuvIyUlxfT6q6++wldffQUAWLRoETw8PDBz5kz89NNP2LRpE/R6PcLDw7F69WqsWLECUilXv+oICrnU1PudX7MA2ztr1mLKvLtMver4mqHwMp2+0eukF1UgvagCu+OzTcf83ByNPeogd8TUDIUHuCu5JzURUSdpVzAnJyc3W2bz5s3t+QhqI6kE6OOvQh9/FW4dGgwAMBgEkvPLEJdRcm0oPL0YJdrGN9vILqlEdkkOfr6QYzrm7aIwC+qYQHeEeDkxrImIOgAf17UjUqkEvXxd0cvXFbMHBgIAhBBIK6ww9ayNW1kWI79M1+h18st0+DUhF78mXJvK5qaUIzqwZlGUmt57T28XrmJGRNRKDGY7J5FIEOLljBAvZ0zrb1ywRQiBrBKtKaRr711nlWgbvU6JthqHk/JxOCnfdMxFIUNUoBuiAtwQrnZFb7UrwtWu8HV1ZO+aiKgRDGaqRyKRIMDdCQHuTpgc5Wc6nquprLlffe0hs7TCikavU6bT43hyIY4nF5odd1PKEV4T0r19XU2/D/Z05tKjRGT3GMzUYr4qR0zso8bEPtcWfSkq1yG+5p712fRixGeU4EpeWZPXKdFW41RqEU79aZtMR7kUPX1cTEFd+6uHtwv3siYiu8FgpnbxcFbgunAfXBd+bWEUjbYK5zJKTA+ZJWRrcDm3FNoqQ5PXqqw24EKWpt6WmVKJceeu8Jrede86oc2FUoiou2EwU4dTKR0wspc3RvbyNh0zGATSiyqQmFuKyzmluJxbisQc46/C8qomr2cQQEp+OVLyy82eDgcAtcrRNCSeoVHh98Q8hKtdoVbxPjYR2SYGM3UJqfTaQ2Z1h8IBIL+00hjSdcI6KbcM6UWN37+ulaOpRI6mEocu5wPwxs/vHwUAqJRys/vXtb3tEC/exyYi68ZgJovzdnWEt6ujWQ8bMK4VnpRbhsRcjSmwE3NKkZJfjupG1guvpdFW48zVIpy5WmR2XCG7dh+7d53Q7uXL+9hEZB0YzGS1XBzl6B/sjv7B7mbHq/QGpOSXITGnFJdzy0yBfSGjEFVNLEMKADq9ARezNbiYbX4fWyIBQjyda4bF6zyA5quCuzPvYxNR12Ewk81xkEkRrlYhXG2+OcqaNWtx86J7zHrXl2uGyAuaWDAFAIQAUgvKkVpQjl8umL/n4+qIcLVLnSFxFcLVrvBz431sIup4DGbqNiQS40YcQR5OGB9pvqVoQZnO7IGz2l8tuY+dV1qJvNJKHEky3z/c1VGO3r4uZkPi4WpXhHo5Qy7jOvBE1DYMZrILXi4KeLmYb6EJAOU6433sP4d2cn5Zo1tp1iqtrEZsWjFi04rNjitkUvTwcTZbQKW3r/GXk4L3sYmoaQxmsmvOCrlpbe+6qvQGpBaU1xsSv5xT2uQOXYDxPnZCdikSskvNjtf26Ov2rmt/eThzL2wiMmIwEzXAQSY19XJvir52vHYd8T8PiV/OLUVeafP3sdMKK5BWWIH9F3PN3vNVOSJC7YoItSvC/VSm33u7cj9sInvDYCZqhbrriF8fYX4fu6hcZxbUtXOz0worIJoeFUeuphK5pvnY13i5KBBeG9hqV0SoVYjw4wIqRN0Zg5mog3g4KzCshxeG/ek+doVOj6Q88yHxxJxSJOeVQ6dvepnSgjIdjl0pwLEr5g+eqZRyRKhdUVXgDceDScbQ9lMh0F3JwCaycQxmok7mpJAhOtAd0YHm97Gr69zHvlTT076UY1xMpbl1xTU1G4EAKpz9/rzpuItCVnPf2tizjqjpZQd7OnFvbCIbwWAmshC5TIpevq7o5euKKXXuY9euK34pR4NL2cbQvpRTisRsTbMPnpXp9A0+Ka50MN4zj6jpWdcOj3NqF5H1YTATWZm664rf0PfafthCCGQWa41BnW3sWf8aewkaqSs02uomr6mtMiA+owTxGSVmxxUyKXrVrHQWUaeXHebtAoWcgU1kCQxmIhshkUgQ6OGEwDoLqKzNOogHH3wQuZpKU2DX9rAvZWua3blLp6+71Wam6bhcKkEPH5d6T4r39OGa4kSdjcFMZOMkEgnUbkqo3ZRm+2IDxp276g6F1/4+V1PZ5DWrDcL0hPkPdY5LJUCYt4txWLzOPezeahc4K/jPCVFH4N8kom6sdueuUX/auavu1K66wZ1RrG3yegYBXMkrw5W8Muw9n232XrCnU7172OFqV6iU3ASEqDUYzER2qLGpXRptFS7nlpnuYV+qeVL8akHza4rXLp6y70+LpwS4K+vdw45Qc9cuosYwmInIRKV0wKAQDwwK8TA7XrumeN0nxY17Y5ehma2xkVmsRWaxFgcv5Zkd52pnRA1jMBNRsxpbU1xbpceVvLJ697CT88pQ3UxiN7XaWVSAG0b18sLo3t4YEOwBB07pIjvCYCaiNlM6yNAvwA39AtzMjuuqDUjJL6t5OvzawilJuWUtWu3st8Q8/JZo7GE7K2QY1sMLo3t5Y3Rvb8QEujV5PpGtYzATUYdTyKWI8FMhwk8F9L92vHa1M9NKZzW97Mu5ja92Vq7T49eEXPyaYLx3rXKUw1eihuLXJIzu7Y1+AW6QcVUz6kYYzETUZequdnZTI6udXcjS4HjN+uANrXSmqayGBs5Ytcu4FKm7kwNG9jQOe4/u7Y1ItYrLj5JNYzATkcXVW+1sgrF3fTa9GIeT8nH4cj5OJBeioqp+UBdXVGHPuWzsOWecvuXlojDen64Z+u7t68qNPcimMJiJyCrJZVIMDvXE4FBPPDghHLpqA2LTinD4cj62/RqLLL0LdNX1h78LynTYdTYLu85mATA+/T2ql7cpqHt4OzOoyaoxmInIJijkUgzv4YXhPbwgu7AH9y69H6dTi3A4KR9HLufj9NVCVOnrPwmeq6nEztgM7IzNAAD4uymNw941QR3i5dzVTSFqEoOZiGyS0kFmuq+MycZ9r0+mFOJwUh4OX87HH2nFDU7ZyirR4uvT6fj6dDoA44pltSE9urc3AtyduropRGYYzETULTgpZBgb4YOxEcb1wssqq3E8ucDUoz6bXtzgYihphRXYejINW0+mAQB6eDtjdG9v4/B3b2+oVcqubAYRg5mIuicXRzkm9FFjQh81AKBEW4XjVwpw6LLxYbLzWSUQDQR1cn45kvPL8fmxqwCA3r4uNUPfPhjVy4srk1GnYzATkV1wUzpgUj8/TOpn3OO6qFyHI0kFOFLz1PfFbE2D513OLcPl3DJ8ciQVANDHT2XqUY/q5QUPZ0WXtYHsA4OZiOySh7MCU2P8MTXGHwCQV1qJo0kFpnvUl3PLGjzvYrYGF7M12HgoGRIJMCzMEy/Oiam3+hlRWzGYiYgA+Lg6YsaAAMwYEAAAyCnRGu9P1/Sok/PL650jBHA8uRC3rz+MjxYPr7dbF1FbMJiJiBqgdlNizqAgzBkUBADIKKowhfThpHykFV7bClOjrcaiD47ivUVDTfe0idqKwUxE1AKBHk64ZUgwbhkSDAC4WlCOdw9cxmdHjfeetVUG/O3jE/jP/EGYOSDQklUlG8e91IiI2iDEyxmr5sbg4RvCTceq9ALLPz+Nz4+lWrBmZOsYzEREbSSRSPDYlD54dkY/0zEhgKe+Oov3Dly2YM3IljGYiYja6a/X98K/5w1A3U2tXvnhAl754QJEQ5OliZrAYCYi6gC3DwvBujuGQiG79s/qewcu45lv4qBvaMkxoka0OZhLS0uxcuVKTJ06FV5eXpBIJNi4cWODZc+fP4+pU6fC1dUVXl5euPPOO5Gbm9vWjyYiskpTY/zx4eLhcFbITMc+O5qKR7443eBOWEQNaXMw5+Xl4cUXX8T58+cxcODARsulpaVh3LhxSExMxOrVq7FixQp8//33mDx5MnQ6XVs/nojIKo2N8MGnfx0JdycH07Hv/sjE0s0nUKGrv5800Z+1OZgDAgKQmZmJlJQUvPbaa42WW716NcrKyvDLL7/g4YcfxtNPP40tW7YgNja20R42EZEtGxzqiS33jYZadW1d7f0Xc3HnB0dRXFFlwZqRLWhzMDs6OsLf37/Zctu3b8fMmTMRGhpqOnbjjTciMjISW7ZsaevHExFZtT7+Kmy7fwxC6+z3fCKlEAs3HEGuptKCNSNr16kPf6WnpyMnJwfDhg2r996IESNw+vTpJs/PyclBfHy82a/ExMTOqi4RUYcK9XbGtvtHo4+fynTsXGYJHttyxnKVIqvXqSt/ZWZmAjAOe/9ZQEAACgoKUFlZCUfHhrdRW7duHV544YUG3/v8888bvO6fFRYWYu3ata2odfdgj+1mm+2HrbV7skyKEoUfMnXGf+sOJ+a0uv621uaO0B3aXJuDrdGpwVxRYVxLtqHgVSqVpjKNBfODDz6I2267zexYYmIi5s6di4ULFyI6OrrZOqxduxbLli1rbdVtnj22m222H7bY7pi4LNz/yUkAQLWQ4q/33Q9HuayZs66xxTa3V3doc3x8PFatWtWqczo1mJ2cnAAAlZX176dotVqzMg1Rq9VQq7kgPBHZvrpPaQNASUU1fFUtD2ayH516j7l2qLmhrnxmZia8vLwa7S0TEXUnbk7m/aASLZ/OpoZ1ajAHBQXB19cXJ06cqPfesWPHMGjQoM78eCIiq+GmNO8xc9oUNabTl+S89dZb8d133+Hq1aumYz///DMSEhLq3T8mIuqu3J3/PJTNYKaGtese85o1a1BUVISMjAwAwM6dO5GWlgYAWL58Odzd3fH0009j69atmDhxIh555BGUlpbitddeQ//+/bFkyZL2t4CIyAa4KuSQSIy7TwHsMVPj2hXMr7/+OlJSUkyvv/rqK3z11VcAgEWLFsHd3R0hISE4cOAAHnvsMTz55JNQKBSYMWMG3njjDd5fJiK7IZVK4KZ0MAVyibbawjUia9WuYE5OTm5RuejoaOzevbs9H0VEZPPcnOTXgpk9ZmoEt30kIuoidadMMZipMQxmIqIu4uxwbZCS95ipMQxmIqIucClbg5OphabXf15whKgWg5mIqJMJIfDS9+ehNxgfyZZLJbh9eIiFa0XWisFMRNTJ9l3Mwa8JuabXd4/pgd6+rhasEVkzBjMRUSfSVRvw8nfnTa+9XBR4eFKEBWtE1o7BTETUiT4+nIykvDLT68cmR/L+MjWJwUxE1EnySyvx9s+XTK/7+KmwgPeWqRkMZiKiTvLmTwnQ1Fnh65+zoiCX8Z9dahr/DyEi6gTnM0vw+bFU0+vJUX64LtzHgjUiW8FgJiLqYEIIvPTdOdTMjoKDTIJnpvezbKXIZjCYiYg62E/nsnHocr7p9T3X9UQPHxcL1ohsSbs2sSAiomtKtFXYdiIN6/ZfNh3zcVXgoRvCLVgrsjUMZiKidrqcW4qPDyVj28k0lOn0Zu+tmNIHKiWnR1HLMZiJiNrAYBA4cCkXG39PxoE6q3rVdUNfNW4bxulR1DoMZiKiVtBoq7D9ZBo2HU7BlToLh9Q1LMwTi6/rganR/pBJJV1cQ7J1DGYioha4kleGTTXD1aWV1fXeV8ikmDUwEIvH9ED/YHcL1JC6CwYzEVEjDAaBg4l52Pj7Fey72PBwtVrliDtHhWHhyFD4uDp2cQ2pO2IwExH9SWllNb46lYaNh5KRlNvwcPWQUA8svq4npkb7QyHnzFPqOAxmIqIayXll+PhwCraeuApNA8PVDjIJZg0IxN1jemBgiEfXV5DsAoOZiOyaEAK/JeZh4+/J+OViDoSoX8ZX5YhFI8OwcGQI1Cpl11eS7AqDmYjsUlllNb46nY5Nh5KRmFPaYJlBIR5Ycl0PTIsJ4HA1dRkGMxHZldT8cnx8OBlfnrhqtvNTLQeZBDP6B+DuMT0wONTTAjUke8dgJqJur7iiCvsu5GBnbEajw9U+ro64Y2Qo7hgZCrUbh6vJchjMRNQt5Wi0+OlcNnbHZ+Pw5TxU6RtIYwADg92x5LqemNbfH45yWRfXkqg+BjMRdRtXC8qxOz4LP8Zl4WRqYYM9YwCQSyWYMSAAizlcTVaIwUxENksIgYvZGuyOy8aP8Vk4n1nSZPk+fipM7x+ABSNC4MfharJSDGYisikGg0BGpSP+tes8dsdnITm/vMnyg0M9cFO0P26K9kdP7olMNoDBTERWr0pvwNGkAvwYn4k98dnI0QQAOUkNlpVJJRjdyxs3RfthcpQ//N3ZMybbwmAmIqtUodPj10u52B2fhZ/P56C4oqrRso5yKcZF+mJqtD8m9VPDw1nRhTUl6lgMZiKyGsUVVfjlQjZ2x2XjQEIuKqr0jZZVOcoxqZ8aN0X7Y3wfXzgr+M8ZdQ/8P5mILCqnRIs957KxOz4Lhy/no9rQyKPUMM41nhLtB93lY1j99yVcjYu6JQYzEXW5lPwy7I7Pwu74bJxqYloTAIR4OeGmKH9MjfHH4FBPyKQSrF37K0OZui0GMxF1OiEELmRpTHOML2Rpmizfx0+Fm2L8cVO0H6IC3CCRSLqopkSWx2Amok71xbFUvHvgMlJaMK1pas20ph6c1kR2jMFMRJ3m/YNJePn78w2+x2lNRA1jMBNRp9h+Mq1eKHNaE1HzGMxE1OH2nsvGE9v/ML12kEmw6ub+mDkggNOaiJrBvyFE1KGOXSnAss9OQV8z7UkiAd68fRBmDQy0cM2IbAPnGxBRhzmXUYJ7Nx1HZbXBdOzF2dEMZaJWYDATUYdIyS/D3R8dg0ZbbTr26I2RuHN0D8tVisgGMZiJqN1ySrS484NjyNVUmo7dPToMD08Kt2CtiGxTpwfz/v37IZFIGvx15MiRzv54IupkxRVVuOvDY0gtuDZPefbAQKycFc2FQYjaoMse/nr44YcxfPhws2Ph4fxpmsiWaav0+NumE2YreY2L9MXrtw2EVMpQJmqLLgvm66+/HvPmzeuqjyOiTlatN+Chz07hWHKB6djgUA+8t2gI17Emaocu/duj0WhQXV3dfEEismoGg8D/bT+LvedzTMci1K74aPFwzlMmaqcu+xu0ZMkSlJaWQiaT4frrr8drr72GYcOGNXlOTk4OcnNzzY4lJiZ2ZjWJqAnaKj22n0rDBwevICmvzHQ8yMMJH987git5EXUAiRBNbbjWfocOHcKbb76J6dOnw8fHB+fOncPrr7+OsrIyHDp0CIMHD2703Oeffx4vvPBCg+8988wzCAgIaPbzCwsL4enp2eb62yp7bDfb3HnK9VKcKVXhdKkbyg0ys/ecpXosVGfCy6HrRsP4XduH7tDmzMxMrFq1CnFxcYiOjm7ROZ0ezA1JTEzEgAEDMG7cOPz444+Nlmusxzx37twWN3Lt2rVYtmxZu+tsa+yx3Wxzx7uSV4YPfkvC1hNpZouG1ArxcsK7dwxFTJB7p9WhIfyu7UN3aHN8fDxiYmJaFcwWuRkUHh6OOXPm4KuvvoJer4dMJmuwnFqthlqt7uLaEdHJlAJs+DUJe85lo6Ef3aMC3HDf+F6Y3j8ADjI+6EXUkSz2lEZISAh0Oh3Kysrg5uZmqWoQUQ29QeCnc1nY8GsSTqUWNVhmQh9fLL2+F0b39uYcZaJOYrFgTkpKglKphKurq6WqQEQAKnR6bDuVhg8OJiE5v7ze+w4yCeYOCsJfr++FPv4qC9SQyL50ejDn5ubC19fX7FhsbCx27NiBadOmQSrlMBiRJeSVVuLjwynYfDgZheVV9d53U8pxx6gwLB7TA35uSgvUkMg+dXowz58/H05OThgzZgzUajXOnTuHDRs2wNnZGa+88kpnfzwR/cnl3FK8f/AKtp9Kg66BB7qCPJxw79ieuH14CFwdOSeZqKt1+t+6uXPn4tNPP8Wbb76JkpIS+Pr64pZbbsHKlSu5JCdRFxFC4HhyITb8moS957MbLNM/yB1Lx/XCtBh/yPlAF5HFdHowP/zww3j44Yc7+2OIqAF6g8DueOMDXWeuFjVYZlJfNf42rhdG9vTiA11EVoDjVETdTGGZDkl5ZTidWoiPD6eY7fpUSyGT4pYhQfjr9T0RruYDXUTWhMFMZIO0VXqk5JcjodwZa/cl4kpeGZJyS3Elr6zBB7lquTs54M5RYbhrTBjUKj7QRWSNGMxEVspgEMgs0eJKbhmS8kqRlFuGpJoATi+qqFn4Qw3svtjstUK8nPDXsb1w27BgbjJBZOX4N5TIwoorqky93aTcMlzJK8Pl3FIk55dBW1X/qemWkkslGBTigXvG9sRN0f6QcX9kIpvAYCbqArpqA1ILysx6vbVBnF+ma9e1fVWO6OXjgl6+Lujl44qeNb8P8XLmcplENojBTNRBhBDILqlEUm5pTfiW4Uqe8fdXC8phaMd2Mc4KGXr6uNSErqspiPd+/RkeW/5gxzWCiCyOwUzUShptlam3W7f3eyWvDOU6fZuvK5UAIV7O6OXjgp4+rjU9YGMQ+7k5NjiV6aC0yzeHI6JOxmAmakCV3oCrBeWme75JeaW4XPP7XE1lu67t46ow9nx9XNHTFL4uCPVygULOoWcie8dgJrslhECuptJ82LkmfFMLylHdjrFnpYMUPbxd0Nv32j3f2jB2d3bowFYQUXfDYKZur6yyuqbXW1bv6efSyuo2X1ciAYI9nYzDznUfvvJ1QYCbElI+BU1EbcBgpm6hWm9AYZUc+y7k4PKfwjerRNuua3s6O5geuurp44LevsZ7wGHezlA6yDqoBURERgxmshlCCOSX6cyGnWt7wakF5ajSB+P9jcfbdG2FXIqe3i7mw841Tz97uig6uCVERI1jMJNNePrrs/guNgMl2rYPPQPGLQ17moadXdCzJnwDPZy4AAcRWQUGM9kEg0G0OJTdlHKzub61U496eLvAScGhZyKybgxmsgk9fVzMXjvIJAirM/Tc28cVpw/uxoqld8LLRcHtC4nIZjGYySZcH+ELuUxq6gUHeThB/qflJnOPVcLb1dFCNSQi6hgMZrIJUYFuiAp0s3Q1iIg6HZcZIiIisiIMZiIiIivCYCYiIrIiDGYiIiIrwmAmIiKyIgxmIiIiK8JgJiIisiIMZiIiIivCYCYiIrIiDGYiIiIrwmAmIiKyIgxmIiIiK8JgJiIisiIMZiIiIivCYCYiIrIiNrcfc2VlJQAgMTGxReUzMzMRHx/fmVWySvbYbrbZfthju9lm21SbVbXZ1RISIYTorAp1hm+//RZz5861dDWIiIha7JtvvsGcOXNaVNbmgrmoqAgHDhxASEgIHB0dmyybmJiIuXPn4ptvvkF4eHgX1dDy7LHdbLN9tBmwz3azzbbb5srKSly9ehXjx4+Hh4dHi86xuaFsDw+PFv/UUSs8PBzR0dGdVCPrZY/tZpvthz22m222TUOGDGlVeT78RUREZEUYzERERFaEwUxERGRFunUw+/r6YuXKlfD19bV0VbqUPbabbbYf9thuttm+2NxT2URERN1Zt+4xExER2RoGMxERkRVhMBMREVkRBjMREZEVYTATERFZEasP5srKSvzf//0fAgMD4eTkhJEjR+Knn35q0bl79+7FxIkT4ePjAw8PD4wYMQKbN2+uV04ikTT465VXXuno5rRYe9r9xRdfYMiQIVAqlfD19cW9996LvLy8Bst+8MEH6NevH5RKJSIiIvDOO+90ZDNapSvabG3fdWlpKVauXImpU6fCy8sLEokEGzdubPH5RUVFWLp0KXx9feHi4oKJEyfi1KlTDZbdsWOH6c8oNDQUK1euRHV1dQe1pOW6qs09evRo8Lu+//77O7A1LdOeNmdmZuLJJ5/ExIkToVKpIJFIsH///kbLHzp0CGPHjoWzszP8/f3x8MMPo7S0tGMa0gpd1eYJEyY0+D1PnTq14xrT1YSVW7BggZDL5WLFihVi/fr1YvTo0UIul4uDBw82ed63334rJBKJGDNmjHjnnXfEmjVrxLhx4wQA8eabb5qVBSAmT54sNm/ebPYrLi6uM5vWpLa2e926dQKAmDRpkli7dq146qmnhLOzsxgwYICoqKgwK/vee+8JAOLWW28VGzZsEHfeeacAIF555ZXObFqjuqLN1vZdX7lyRQAQoaGhYsKECQKA+Oijj1p0rl6vF2PGjBEuLi7i+eefF2vWrBFRUVFCpVKJhIQEs7K7du0SEolETJw4UWzYsEEsX75cSKVScf/993dCq5rWVW0OCwsTgwYNqvddHz16tBNa1bT2tHnfvn0CgIiIiBCjR48WAMS+ffsaLHv69GmhVCrF4MGDxbvvviueeeYZ4ejoKKZOndpxjWmhrmrz+PHjRXBwcL3v+eeff+64xnQxqw7mo0ePCgDitddeMx2rqKgQvXv3FqNHj27y3MmTJ4vAwECh1WpNx6qqqkTv3r3FgAEDzMoCEMuWLevYyrdDW9tdWVkpPDw8xLhx44TBYDAd37lzpwAg/vvf/5qOlZeXC29vbzFjxgyza9xxxx3CxcVFFBQUdGCLmtcVbRbC+r5rrVYrMjMzhRBCHD9+vFX/eH355ZcCgNi6davpWE5OjvDw8BALFy40KxsVFSUGDhwoqqqqTMeeeeYZIZFIxPnz59vfkFboqjaHhYXV+//bUtrT5pKSEpGfny+EEGLr1q1NhtS0adNEQECAKC4uNh373//+JwCI3bt3t6sNrdVVbR4/fryIjo7uiCpbDaseyt62bRtkMhmWLl1qOqZUKnHvvffi8OHDuHr1aqPnlpSUwNPT02xrSLlcDh8fHzg5OTV4TkVFBbRabcc1oI3a2u64uDgUFRVh/vz5kEgkpuMzZ86Eq6srvvjiC9Oxffv2IT8/Hw8++KDZNZYtW4aysjJ8//33HdyqpnVFm+uylu/a0dER/v7+bTp327Zt8PPzwy233GI65uvri9tvvx3ffvutaWP2c+fO4dy5c1i6dCnk8msbyj344IMQQmDbtm3ta0QrdUWb69LpdCgrK2tzfTtCe9qsUqng5eXVbLmSkhL89NNPWLRoEdzc3EzH77rrLri6umLLli1t+vy26oo211VdXW2RIfvOYNXBfPr0aURGRpr9TwYAI0aMAACcOXOm0XMnTJiA+Ph4PPfcc0hMTMTly5fx0ksv4cSJE3jiiSfqld+4cSNcXFzg5OSEqKgofPbZZx3altZoa7tr/1Fq6AcPJycnnD59GgaDwfQZADBs2DCzckOHDoVUKjW931W6os21rOm7bo/Tp09jyJAhkErN/xqPGDEC5eXlSEhIMJUD6n/XgYGBCA4O7vLvuj1a2uZav/zyC5ydneHq6ooePXrg7bff7srqdqmzZ8+iurq63vesUCgwaNAgm/qeWyshIQEuLi5QqVTw9/fHc889h6qqKktXq82sej/mzMxMBAQE1DteeywjI6PRc5977jlcuXIFq1atwssvvwwAcHZ2xvbt2+vt5zxmzBjcfvvt6NmzJzIyMrB27VrccccdKC4uxgMPPNCBLWqZtrY7IiICEokEv//+O5YsWWI6fvHiReTm5gIACgsL4e3tjczMTMhkMqjVarNrKBQKeHt7N/ln2xm6os2A9X3X7ZGZmYlx48bVO173z6x///7IzMw0O/7nsl39XbdHS9sMAAMGDMDYsWPRp08f5OfnY+PGjfj73/+OjIwMvPrqq11a767Q3Pd88ODBrq5Sl+jduzcmTpyI/v37o6ysDNu2bcPLL7+MhIQEfPnll5auXptYdTBXVFSYDUXXUiqVpvcb4+joiMjISMybNw+33HIL9Ho9NmzYgEWLFuGnn37CqFGjTGV///13s3PvueceDB06FE8//TQWL17c6NB3Z2lru318fHD77bdj06ZN6NevH26++Wakp6dj+fLlcHBwQFVVlenciooKKBSKBq+jVCqb/LPtDF3RZsD6vuv2aOmfWe1/GytbUlLSibXsWK35/2THjh1mZZYsWYJp06bhzTffxPLlyxEcHNy5le1izX3PXf13uqt88MEHZq/vvPNOLF26FP/73//w6KOPmv1bbyuseijbycmpwXtGtfcGm/pH9KGHHsLOnTvxxRdfYMGCBbjjjjuwd+9eBAQE4JFHHmnycxUKBR566CEUFRXh5MmT7WtEG7Sn3evXr8f06dOxYsUK9O7dG+PGjUP//v0xa9YsAICrq6vpGjqdrsFraLXaLg+ormhzQyz9XbdHS//Mav/bWFlb+mGkPf+fSCQSPProo6iurm5yupGt6k7fc3s9/vjjAIxTZm2RVQdzQECAaXimrtpjgYGBDZ6n0+nwwQcfYMaMGWb3ohwcHDBt2jScOHGi0VCqFRISAgAoKChoa/XbrK3tBgB3d3d8++23SElJwYEDB5CcnIzNmzcjMzMTvr6+8PDwMH2GXq9HTk6O2fk6nQ75+flNfkZn6Io2N8aS33V7tPTPrHZos7GyXf1dt0d7/j8BbPe7bonu9D23l61/z1YdzIMGDUJCQkK9obajR4+a3m9Ifn4+qqurodfr671XVVUFg8HQ4Ht1JSUlAYBF9gJta7vrCg0Nxbhx4xAWFmbqDd54441mnwEAJ06cMDvvxIkTMBgMLfqMjtQVbW6MJb/r9hg0aBBOnTpV7+G2o0ePwtnZGZGRkaZyQP3vOiMjA2lpaV3+XbdHS9vcGFv9rlsiJiYGcrm83ves0+lw5swZm/qe28vmv2dLz9dqypEjR+rNbdVqtSI8PFyMHDnSdCwlJcVsLmZ1dbXw8PAQkZGRorKy0nRco9GI4OBg0bdvX9OxnJycep9bUlIievfuLXx8fMzO7yptbXdj7r//fiGVSsWxY8dMx8rLy4WXl5eYOXOmWdlFixYJZ2dn0xzCrtIVbbbG77qupuZ6ZmRkiPPnzwudTmc69sUXX9Sb05ubmys8PDzE/Pnzzc7v27evGDhwoKiurjYde/bZZ4VEIhHnzp3r+Ma0UGe1OT8/36ytQgih0+nEddddJxQKhWl+rSW0ts11NTend+rUqSIgIECUlJSYjr3//vsCgPjhhx86ovpt0lltLi4uNlurQgghDAaDmD9/vgAgTp482RHV73JW/fDXyJEjcdttt+Gpp55CTk4OwsPDsWnTJiQnJ5vd8L/rrrtw4MABCCEAADKZDCtWrMCzzz6LUaNG4a677oJer8cHH3yAtLQ0fPLJJ6Zz165di2+++QazZs1CaGgoMjMz8eGHHyI1NRWbN29u9AEpa2w3ALzyyiuIi4vDyJEjIZfL8c0332DPnj14+eWXMXz4cFM5JycnvPTSS1i2bBluu+023HTTTTh48CA++eQTrFq1qtVzCG2hzdb4XQPAmjVrUFRUZHo6eufOnUhLSwMALF++HO7u7njqqaewadMmXLlyBT169AAAzJs3D6NGjcKSJUtw7tw5+Pj4YN26ddDr9XjhhRfMPuO1117D7NmzMWXKFCxYsABxcXFYs2YN/vrXv6Jfv35d2l6g89u8Y8cOvPzyy5g3bx569uyJgoICfPbZZ4iLi8Pq1avbPL/WEm0GYJpZEh8fDwDYvHkzfvvtNwDAs88+ayq3atUqjBkzBuPHj8fSpUuRlpaGN954A1OmTLHIEpWd3eZTp05h4cKFWLhwIcLDw1FRUYGvv/4av//+O5YuXYohQ4Z0VVM7loV/MGhWRUWFWLFihfD39xeOjo5i+PDh4scffzQrM378eNFQUz799FMxYsQI4eHhIZycnMTIkSPFtm3bzMrs2bNHTJ48Wfj7+wsHBwfh4eEhpkyZYvHl3Nra7u+++06MGDFCqFQq4ezsLEaNGiW2bNnS6Ods2LBB9OnTRygUCtG7d2/xn//8x2wFra7U2W221u86LCxMAGjw15UrV4QQQtx9991mr2sVFBSIe++9V3h7ewtnZ2cxfvx4cfz48QY/5+uvvxaDBg0Sjo6OIjg4WDz77LON9lI6W2e3+cSJE2LWrFkiKChIKBQK4erqKsaOHdvk34XO1p42N3ZeQ//uHTx4UIwZM0YolUrh6+srli1bZtaD7kqd3eakpCRx2223iR49egilUimcnZ3F0KFDxXvvvWexf8c6gkSIOl0PIiIisiirfviLiIjI3jCYiYiIrAiDmYiIyIowmImIiKwIg5mIiMiKMJiJiIisCIOZiIjIijCYiYiIrAiDmYiIyIowmImIiKwIg5mIiMiKMJiJiIisCIOZiIjIijCYiYiIrAiDmYiIyIr8P1mBJTNX5wAJAAAAAElFTkSuQmCC", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(figsize=(10 / 2.54, 10 / 2.54), constrained_layout=True, dpi=120)\n", "\n", "ax.plot(s1_profile.values[2:], s1_profile.heights[2:], label=s1_profile.label)\n", "\n", "# ax.legend(bbox_to_anchor=(1.2, 1))\n", "ax.legend(loc=\"upper left\")\n", "\n", "set_style_tech(ax)\n", "plt.show(fig)" ] } ], "metadata": { "kernelspec": { "display_name": "cfdmod-XMkUSlb0-py3.10", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.6" }, "orig_nbformat": 4 }, "nbformat": 4, "nbformat_minor": 2 }