From 49b8a53dee13aafb886908667f97afcf94c10083 Mon Sep 17 00:00:00 2001 From: Sean Kelley Date: Thu, 13 Feb 2025 15:09:17 +0000 Subject: [PATCH 1/6] updated notebook to obtain scenario names and query scenario data accordingly --- notebooks/MAGICC7.ipynb | 77 ++++++++++++++++++++--------------------- 1 file changed, 38 insertions(+), 39 deletions(-) diff --git a/notebooks/MAGICC7.ipynb b/notebooks/MAGICC7.ipynb index faa4705a..d1511157 100644 --- a/notebooks/MAGICC7.ipynb +++ b/notebooks/MAGICC7.ipynb @@ -17,16 +17,9 @@ "metadata": {}, "outputs": [ { - "data": { - "application/javascript": [ - "IPython.OutputArea.prototype._should_scroll = function(lines) { return false; }" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" + "name": "stdout", + "output_type": "stream", + "text": [] } ], "source": [ @@ -113,7 +106,17 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "scenario_names = list(map(str.lower, scenarios.rcps.meta[\"scenario\"].unique()))\n", + "scenario_names" + ] + }, + { + "cell_type": "code", + "execution_count": null, "metadata": {}, "outputs": [ { @@ -129,13 +132,12 @@ ], "source": [ "# NBVAL_SKIP\n", - "for i, (name, scen) in enumerate(scenarios.items()):\n", + "results = []\n", + "for name in scenario_names:\n", " print(\"running {}\".format(name))\n", + " scen = getattr(scenarios, name)\n", " scen_results = pymagicc.run(scen, magicc_version=7)\n", - " if i != 0:\n", - " results.append(scen_results)\n", - " else:\n", - " results = scen_results" + " results.append(scen_results)" ] }, { @@ -145,7 +147,7 @@ "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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", 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" ] @@ -172,7 +174,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -187,7 +189,7 @@ }, { "data": { - "image/png": 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\n", + "image/png": 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czZs3k5WVJTeeL126REpKSpnL2axZM06fPs3o0aPlsIiIiBLTVahQAT8/P7Zt20bDhg1JSUnhs88+k/efOHECa2trJkyYIIcVNy+0OCdOnMDPz4/evXsDuT/yb926RY0aNTTiRUVFoVKp5N7W06dPo6OjI9d/fjVq1KBu3brcvHmzwJzJd6FKlSrUrFlT7onOm/f46NEj6tatC+TOvZTecu7oqVOnMDMzY/78+XLYzz//rBHHxsaGsLAw1Gp1ob2tbdu25dq1a2X+Jm5J2rZty549ezA1NcXU1PSd5g259X/u3Dl5hEBycjK3b9+We4nbtm3L5cuXy3xekiRx8uRJ1q9fL/9dSUlJ4d69e9jZ2cnxKlWqVGAl7vz1m7f41vnz50t13LzrVa9evQIvwwRBED5kYniwIAhCMRo3bsznn3/OsGHD2LZtG3FxcVy6dInvv/+eJUuWAODq6krr1q0ZMGAAUVFRXLp0iQEDBqCtrV1kL42+vj5jx45l5syZ7N69m1u3brFw4UKCg4OZNm1amcq4evVqmjZtWmI8R0dHtLW1+eabb+ShwZDb6GnTpg3ffPMNtra2Gj3K/v7+vHz5ksGDB3P16lVOnTrFgAEDsLe3x97evkzlnDhxIoGBgaxcuZLbt2+zefPmQlfmLczAgQM5f/48s2fPxsfHR6OBYmlpyZUrVwgODubOnTusXLmSPXv2lKls+fMKDg7m3LlzXL9+neHDh/Po0aMC8Z49e8bo0aOJjY1l3759zJw5kxEjRhTZc7lgwQL+97//sWDBAq5evcrNmzcJCgpixIgRcpxff/2Vpk2b8vDhwyLLN2fOHCZNmsSxY8dISEjgypUrTJo0iatXr/Lpp58Cufds/fr1mTNnDjdu3ODUqVOMHz/+rUcDWFpakpyczHfffUd8fDxbt27l22+/1YgTEBDA7du38fPzIzo6mjt37rB7927OnDkDwLx58wgODpYX4bpz5w4HDx5k6NChZGRkvFW5IHfoeM2aNfHx8SEsLIy7d+9y9uxZ5s+fz759+9463zza2tqMGzeOiIgILl++zIABA6hevTq9evUCYMaMGZw/f54hQ4YQHR1NfHw8YWFh+Pv7F1i9OT+FQkGTJk3Ytm0b165d4/z58xovYvJ89NFHnDx5kt9//52nT58iSRJWVlbUrl2bWbNmcfPmTY4fP05AQECpzmfcuHGkpaXRo0cPIiIiuHv3LidPnmTKlClER0e/3UUSBEF4D0SjVRAEoQQbNmxg/PjxLFiwgGbNmuHi4sIPP/xAw4YNgdwfoL/++isGBgbY29vj4+ODp6cnlpaW6OrqFpnvggULGDZsGOPGjZM/ifHjjz9qzCktjadPn3Lz5s0S4xkZGdGuXTtSU1M1Gq2QO0Q4NTW1wNDgGjVqcPjwYX7//XfatWuHj48PLVq0KNDTVhqffvopy5Yt46uvvqJVq1Zs375dbviXpFWrVrRp04aLFy8ycOBAjX0jRoxgwIABDBkyBGtrayIjIzWGD5fFN998I6+m6uLigrm5eYGVkgF8fX0xMjKiU6dOfPbZZ/j4+LB48eIi8x0wYAC7du1i7969tG/fnnbt2jFnzhyN+aspKSncvHmzyKGekPvi4cGDBwwZMgQrKyucnJw4c+YMP/74o/w5JW1tbQIDA3ny5AnW1taMHj2aBQsWFDnftCQ+Pj5Mnz6dadOm0bJlS3bu3MnSpUs14rRs2ZLw8HCSk5NxdHSkTZs2LFu2TO6JdnJy4ujRo1y+fBl7e3tatWrF+PHjMTIy0hiiW1aGhoacOnWK5s2b079/f5o0aYKvry8XL14scf5yaejo6DB79mw+//xz2rVrR0pKCvv27UNHRwfInSd76tQpkpOTcXV1pXnz5owcOZKcnJwSv8m8bds2Xr16Rdu2bfH19aVnz54ac2wB5s+fT2JiIo0bN6ZatWokJSWho6NDYGAg9+7do02bNowbN67Uz5G5uTlnzpzB0NCQbt26YWlpyYABA3j06FGB0QSCIAgfEoX0tuOFBEEQhCKlpqZSp04d5s+fz5gxY8q7OIIglNG6deuYNGkSaWlp5V0UQRCEfz0xp1UQBOEdCAkJQVtbGysrK548ecLcuXNRKBTy3EhBEARBEATh7YhGqyAIwjuQnp7OvHnzuHv3LgYGBtjY2HDq1Ckx5E4QBEEQBOFPEsODBUEQBEEQBEEQhA+WWIhJEARBEARBEARB+GCJRqsgCIIgCIIgCILwwRKNVkEQBEEQBEEQBOGD9UEvxFTYB93/CmZmZjx9+vS9HEsonKiD8ifqoHyJ61/+RB2UP1EH5U/UQfkTdVD+RB28H7Vr1y51XNHTKgiCIAiCIAiCIHywRKNVEARBEARBEARB+GCJRqsgCIIgCIIgCILwwfqg57S+SZIkXr9+jVqtRqFQvLN8k5KSyMzMfGf5CWUn6qD8iTooX+L6/zUkSUJLSwtdXd13+v8NQRAEQRDen79Vo/X169dUrFgRbe13W2xtbW0qVKjwTvMUykbUQfkTdVC+xPX/6+Tk5PD69Wv09PTKuyiCIAiCILyFv9XwYLVa/c4brIIgCMI/m7a2Nmq1uryLIQiCIAjCW/pbNVrF0C5BEAThbYj/fwiCIAjC39ffqtH6IcjIyKBnz56oVCo5bOPGjTRs2JCXL1/KYadPn2bgwIEABAYGYm5uzokTJ+T9Bw8exNzcnL179xZ7vGXLlmFjY4NSqaRz584EBQVp7F+3bh0ODg4olUq8vLzYvXs3AL6+vtjb2+Pq6kq3bt2Ii4sDcud3LV68mE6dOuHo6Mh3330nh8+cORM7OztcXV25cuVKseXatGkTs2bNkrcDAgLo06ePvP39998zc+bMYvN4U4cOHXj+/Hmh12DdunXFpk1OTmbgwIG4urrSuXNnBgwYUKZjA8TFxaFUKnFzc+Pu3btlTl+c2NhYlEolSqWS5s2bY2tri1Kp1LhmH6L169fz+vXrv/w4OTk5WFlZyduHDx/G3t6ehw8fFpnmxIkTmJubExgYKIddunQJc3NzNm7cKIdlZWXRvHlzlixZopE+OzubhQsXYmdnJ9f76tWrCy1PXFwc/fv3x87ODnd3d0aNGiV/vy0mJobu3bvj4OCAm5sbAQEBZGRksHr1arnOnZycqFevnsbfiMJ0794dHx8feTsmJqbAPeLu7k52drbG+eb/21JS/vb29nK5Dhw4UGx8GxsbUlJSSpV3frNnz+bs2bNlTicIgiAIglAYMda2jAIDA/H09NSYexYcHEzr1q05cOBAkY0QKysrQkJCcHBwACAoKIhmzZqV6pjDhg1j5MiRxMfH4+npibe3NxUrVmTr1q2cOHGCffv2YWRkRGpqqsaP0NWrV9O6dWt+/PFH5s+fz5YtW9i1axePHj3ixIkTaGlpyT+8jx49SkJCAqdOneL8+fNMnTq12AZ1u3bt+PXXX+Xt69evo1arUalUVKhQgejoaNzd3Ut1fpIk/emhe0uXLsXBwYEvvvhCLk9ZqFQqDh48iLe3N+PGjftTZSmMlZUVR44cAWDcuHG4urpqNE7KiyRJ8kI1hdmwYQOfffYZurq6pc4zJyfnTw3jDw8PZ+7cufz000+Ym5sXG9fKyorQ0FD5uSvsuQoPD8fCwoKQkBAmT54shy9atIiUlBSOHj2Kjo4OaWlpbNiwocAxMjIyGDhwIF9++SUuLi4AnDx5khcvXqBSqRg1ahTr16/H2toaSZIICQkhPT0df39//P39AThw4ABbt27F2Ni4xPNPSkrixIkT8t+K/OLj46lTpw4VK1aUz7d9+/YEBwcXGr8wa9eupUWLFqWK+7aGDBnCjBkzsLW1/UuPIwiCIAjCv4PoaS2jPXv2aDTG7t69y6tXrwgICCjQC5pf+/btuXjxItnZ2bx69Yq7d+/SvHnzMh27YcOG6OnpyT0fq1atYtGiRRgZGQFgZGRE7969C6SztbWVew63bt3K+PHj5UaKmZkZAIcOHcLX1xeFQiH3riQlJRVZlubNmxMfH09GRgYvX75EV1eX5s2bExsbC0B0dDRt27YFcnvrnJ2dcXZ2lnvAHjx4gL29PWPHjsXZ2blAj9rKlSvp1KkT3bt3586dOyVemydPnlCrVi15O6/hkr/HG2D69Olyz1yHDh1YsGAB7u7uhISEsGnTJrZt24avry8An3/+OR4eHjg5OfHjjz/KeRw7dgx3d3dcXV3l652ens6ECRPw9vbGzc2NQ4cOlVjm/FavXo23tzeurq588803ACQkJODs7MyYMWPo1KkTY8eOJTw8nK5du2JnZ8elS5cAWLJkCf/5z3/w8fHBzs6OnTt3lphv586d8ff3x8nJiaSkJAICAnBzc8PJyUmOt2HDBp49e0aPHj3o06dPgd7H4OBgJk2aBMCYMWOYMmUK3t7eLF68mFevXjFu3Dj5ehw+fLhU1yEiIoJp06axbds26tWrV2L8evXqkZqayvPnz1Gr1Zw8eZLOnTtrxAkODmb48OFUr16dCxcuAJCWlsbu3bv58ssv0dHRAcDQ0JAJEyYUOMYvv/yCra2t3GAFsLe3x8LCgu+//56+fftibW0N5A5B7datG1WrVtXIIygoiO7du5fqGowaNYqVK1cWui88PBwnJycgd47//v37WbFiBceOHSMrK6tU+Rdm0KBB8r2+Y8eOAvvT0tLo378/rq6uODs7yy+0Ll68SM+ePfHw8KB///4kJycD0KBBA5KSknj27Nlbl0kQBEEQBCHP37anVb1zI9KDhHeTl0KBJEko6n6E1mfDioyXlZXF/fv3qVu3rhwWHBxM165d6dChA3fu3CE5OZlq1aoVSKtQKOjUqRPh4eGkpqbi5ubG/fv3y1TOK1eu8NFHH2FmZkZqaiqvXr2ifv36JaY7cuQITZs2BXIb2SEhIRw8eJCqVasyb948GjZsSGJiIrVr15bT1KpVi8TERGrUqFFontra2jRv3pxLly7x+vVrPv74Yz766COio6OpWrUqkiRhbm7O5cuX2bVrF3v37kWSJHx8fPjkk08wMTEhISGBFStWYGNjo9Ezd/nyZUJCQjhy5Ag5OTl4eHjQqlWrYs9x8ODBjBo1is2bN2Nvb0+fPn2oWbNmidemSpUqcgMzPj4eAwMDRo4cCeQOS65SpQoZGRl4e3vj5eWFJEn897//Zc+ePdSrV48XL14AuY1sOzs7li9fTkpKCt7e3tjb26Ovr19iGcLCwnj48KF8jQYMGEBUVBRmZmbcuXOHdevW0bhxY9zd3dm/fz8hISHs27eP1atXyy8Bbty4QXBwMGlpabi7u+Pi4sLly5eLzDcuLo6VK1fSunVrAKZOnUq1atV4/fo1vXr1wtvbm+HDh7N+/Xr27NmDiYkJOTk5xZ7HkydPCA0NRUtLi/nz5+Pk5MSKFSv4448/8PHxwcHBodge24yMDIYPH84vv/xCw4YNS7xueby8vNi7dy8WFhZYW1tr3EsZGRmcOXOGZcuW8eTJE4KCgrC2tiYhIYG6deuWqn5u3rxZ5P138+ZN+vfvX2z6V69ecerUKZYuXVqq82nfvj379u3j3LlzBVYTPnbsGIsXLwYgMjKSRo0aUb9+fdq1aye/TCnJqFGj5Hr4+eefMTExYcWKFfK97unpiZeXF5UrV5bThIWFUadOHfnlzcuXL8nMzGTWrFls2bIFU1NT9uzZw9KlS/nqq68AaNGiRZlGXAiCIAiCIBRF9LSWwfPnzwsM7wsODqZbt25oaWnJP56L0q1bN0JCQuQ0pbVx40acnJzw8fFh7NixpU7n7++PUqkkKipKnl+alZWFjo4OBw4coF+/fkycOLHU+b2pbdu2REdHEx0djY2NDTY2NsTExGj0sp47dw4PDw/09fUxMDDA09OTyMhIAOrUqYONjU2BfCMjI/Hw8EBPTw8jIyOUSmWJZencuTOnT5/Gz8+PuLg43N3dS9XL07Vr1yL3ff/997i6utKlSxcePXpEQkICMTEx2Nrayr2AVapUAXLnV65ZswalUomvry+ZmZnFzsfM7/jx4xw7dgw3Nzfc3d25e/cu8fHxQG6PVZMmTdDS0qJJkybY2dkB0LRpU37//Xc5Dw8PD3R1dTEzM8PW1paLFy8Wm2/9+vXlBitsFMpIAAAgAElEQVTk3seurq54eHhw+/Ztbt26Vaqy5+fj4yP34B8/fpz//e9/KJVKevXqVarroaOjg7W1tcYc1dLo2rUroaGhBAUFFXiu8ubG6urq0qVLF/bv31/oUPQdO3agVCqxsbEpdoTB2zh06BC2tralGhqcZ+zYsaxYsUIj7PXr1zx79kweMp3/fLt161bsSI/81q5dy5EjRzhy5AgmJiZA7t+YvHv98ePH3Lt3TyNNs2bNCA8PZ+HChURFRWFsbCzfJ3369EGpVLJmzRoePXokpzEzMyMxMbHU5ywIgiAIglCUv21Pa3E9omWlra1dYi8SgK6uLpmZmfJ2bGwsCQkJ9O3bF8hd2KVu3boMGTKk0PTW1tbExsaip6dHo0aNSl2+vDmthw8fZtKkSURERGBkZIS+vj737t0rsrc1b05rfrVq1cLLywsAT09PeThkzZo1NX5wPn78uMSeynbt2rFt2zYyMzMZPHgwVatW5datW5iamsqN1uKUpperLKpUqcKnn37Kp59+ysCBAzl79izVqlVDkiQ5Tv76K64Mp0+f5uTJk4SGhqKnpyc3RIsiSRIbNmygcePGb1X2//znP/J9lCchIYFKlSrJ21paWvJQVi0trWLv2byVUovKN/95x8fHs2nTJg4dOoSBgQFjxowp9Fy1tLQ0ruWbCzTlz1OSJL777jsaNGhQZBkLy3/Dhg307t2bb7/9lv/7v/8rVbpatWohSRJnz55l0aJFREREyPuCgoI4f/48HTp0AHJfPJ05c4bWrVtz//590tPT0dfXp1+/fvTr1w8HBweNRdYAmjRpIg8rfpOlpSVXrlzB1dW1yPIFBwfTs2fPUp1LHkdHR5YuXcrly5flsLNnz8rnkZ2dzYEDBwgLC2P58uWo1Wpevnwpn09ZnDhxgsjISPle7969e4H6t7CwYP/+/Rw9epSFCxfi5OSEs7MzVlZWGnPb88vMzCzTXGhBEARBEISiiJ7WMqhcuTIqlUr+sR4UFMSECROIjIwkMjKS8+fPk5SUpNED9qZp06YxZcqUAuGLFi0qcSVPNzc3WrVqJa8Q7O/vz/Tp00lNTQVyhyHm7SuKh4cHp0+fBuDMmTPyMEw3Nzd+/vlnJEkiJiYGY2NjeWhwUQu82NjYcP78eZ49e4aZmRkKhYKqVaty+PBh2rVrB+TOGz106BAZGRmkp6dz8OBB+Yd3UWxtbeU0aWlp8gJGAJs3b2bz5s0F0pw6dYqMjAwgd/7dvXv3MDc3x9zcnFu3bpGZmUlKSgqnTp0q9th5UlNTMTExQU9Pj7i4OM6fPy+f89mzZ+Wh3XnDgx0dHdm8ebPcqLt69WqpjpOX9qeffiI9PR2AR48eFbqKcnEOHTpEZmYmz549IzIyktatW5c637S0NAwNDTEyMiIpKYnw8HB5n6GhIWlpaUBuo9LExIT4+HjUajUHDx4ssjydO3fm+++/l7fzrsfDhw/p169fken09fXZunUrgYGB7Nq1C4C9e/fKQ06LEhAQwPTp0zUWlEpJSeH8+fNER0fLz+i8efMIDg7G0NAQX19fZs6cKTfQcnJyCn0R4Ovry5kzZzh27JgcFhERwe3btxkyZAg//fSTPL9YkiRCQ0PlXv4//viD6OjoAqMFfH195fmfRRk7dizffvutvH3s2DF5PuuJEydo3bq1fG5RUVEolUp5qHtp8s+TmppK5cqV0dPT4+bNm/K55Pf48WMMDAzw9fVlxIgRXLlyBQsLCxITE+UGfVZWFjdv3pTTxMfHy9MSBEEQBEEQ/oy/bU9reXF0dOTcuXM4ODgQEhLCtm3bNPZ7eHgQHBwsL8zyJmdn50LD8z6JUpLx48czevRo/Pz8GDRoEOnp6Xh5eVGxYkW0tbUZMWJEselHjx6Nv78/GzduRF9fX55n5+LiwtGjR7Gzs0NPT4/ly5cDuT1T+XvX8qtcuTJVq1bF0tJSDrOxsSEqKkpeCKlly5byHEmAvn370qJFCx48eFBkGVu2bEmXLl1QKpWYmZnRpk0beV9cXJzcIM7vypUrzJgxA21tbdRqNX379pXTdenSBWdnZ+rVq1fqVVM7d+7Mtm3bcHR0pFGjRnz88ccAVK1ala+++oovvvgCtVqNmZkZO3fuZNy4ccyePRtXV1fUajV169Zl69atpTqWi4sLcXFxdOnSBQADAwPWrFlTqrR5LC0t6dmzJy9evGDSpElUq1at1Pm2bNkSCwsL7OzsMDc317i+fn5+fPbZZ9SuXZvAwECmTZuGn58fVatWpVWrVkUu/jNhwgRmz56Ni4sLarWaBg0asHnzZhITEwvM03yTqakp27dvp2fPnpiamnL37l15sbGitG/fvkDY/v37cXBwkFfahdznc8mSJSxYsIBp06bx1Vdf4eTkhKGhIXp6evTt27fAnHQ9PT1++OEH5syZw4wZM6hYsSLNmzdn3rx5VK1alTVr1jBr1ixevHiBQqHgk08+kXte9+/fj7OzM3p6enJ+KpWK+/fvlzhcWKlUajTWz507x7Rp04DcF2aenp4a8b28vAgMDKRr166lyj+Pi4sL27dvp3PnzjRq1KjQv13Xr19n0aJFKBQKKlWqxOLFi9HR0WHDhg3MnDmTtLQ0VCoVI0aMwNLSkszMTB48ePCXr1IsCIIgCMK/g0IqqkXyAcg/XBV4q6FvpVHa4cGQ2zjasGEDq1ateqdl6NevX6Grdpa3I0eOcP/+fYYOHfqXHqe0dTBw4EA2bdqkMWz2327JkiWYmpoybNifGzJflufgbeV90zj/Srwl+b//+z/mz5+PqanpX1iy9+fq1asEBQUxY8YMjfDirv+DBw+YMWMGP/zww1vn/z6FhoZy+/btQldjLi+l+f+HmZmZ/BkwoXyIOih/og7Kn6iD8ifq4P3IvwhsSUSjlbL/WN+5cye9evUqscdIKL330WD6p/o7NVqFov2Trn9ISAhOTk4l9pC/T6LR+vcg6qD8iToof6IOyt8/oQ5ysiW0KyrKuxjFKkujVQwPfgufffZZeRdBEGSTJ08u7yIIgobiVuUWBEEQBOGvlflazemjaZjXr0ST5v+MRRHFQkyCIAiCIAiCIAj/ANlZEmePvyI9XU3V6v+c/knRaBUEQRAEQRAEQfiby8mRiDyZRupLFe3sDKhaTTRaBUEQBEEQBEEQhA/ElZh0XjxV8bGtPtVrVSw5wd+IaLQKgiAIgiAIgiD8jT1IyOL3u9k0aa5D7br/vK9siEZrGWVkZNCzZ09UKhUPHjyQv7t6+vRpzM3NNT5bc/XqVczNzVm3bp0clpOTQ8uWLVm4cKFGvjk5OSxatAg7OzuUSiVKpZKVK1fK++vWrSuHK5VKVq9eXWw5ly1bho2NDUqlks6dOxMUFKSxf926dTg4OKBUKvHy8mL37t0A+Pr6Ym9vj6urK926dSMuLg4Af39/7O3tcXZ2ZsKECWRnZ8t5nT59GqVSiZOTEz179iy2XIcOHeLzzz+Xt1etWoWdnZ28ffjwYQYPHlxsHm/y9fXl0qVLBcIDAwOZPn16sWkzMjLw9/fHxcUFZ2dnunfvzqtXr8p0/GfPnuHj44ObmxuRkZFlSluS58+fy3Xepk0buU6VSmWR30j9EOzcuZMnT568l2PZ2NiQkpICwIULF7C1teX69etFxk9ISMDc3Jxly5bJYcnJydSrV49Zs2ZpxHV2dmbMmDEaYZIkyc+Pq6srrq6uzJs3D5VKVaA8iYmJjBgxAjs7Ozw8PBgwYAAJCQlA7jeH+/fvj52dHe7u7gwfPpynT5+ye/dujWfd3NycGzduFHsNxowZQ9u2beV74smTJxrPFeQuIJdXJ3nnW9rPbI0ZMwZbW1u5TFu2bCk2fvfu3bl69Wqp8s5v48aN8t8iQRAEQRBKJ+2liivn06larQJNmv0zFl560z9noPN7EhgYiKenZ6Gfu2natCmhoaH069cPgODgYJo1a6YR58SJEzRs2JC9e/cydepUFIrcpai/+uornjx5QlhYGLq6uqSlpbF+/Xo5na6uLkeOHClTWYcNG8bIkSOJj4/H09MTb29vKlasyNatWzlx4gT79u3DyMiI1NRUDhw4IKdbvXo1rVu35scff2T+/Pls2bKFTz/9VP427ejRo9mxYweDBg0iJSWFadOmsX37dszNzUtcHrxt27Yaq93GxMRgaGhIcnIyVapUISYmhrZt25b6HPMaCm9r06ZNmJmZERYWBuQ2JLS1S/9Y5OTkcOrUKZo2bcrXX3/9p8pSGFNTU7nely1bhoGBASNHjnznx3kbKpWqyM8+7dy5kxYtWlC9evVS55eTk1Oma/+mq1evMmrUKDZs2FDguXtTgwYNOHLkCBMnTgRyvytqaWmpESc2NpYKFSpw+vRpMjIy0NPTA2DLli1ERESwd+9ejI2NyczMZP369WRlZclxILdxO3ToUPz8/ORn+erVqzx9+pSaNWsycOBAvvzyS/mbtadPn+bFixf06tWLXr16yfFHjhxJ06ZNSzx/hULB7t278fPzK7AvPT2dtLQ0uT5CQ0OxsbEhKChI/ntVkjlz5uDh4VGquG+rX79+9OzZUz5/QRAEQRCKp1JJxJx5hZaWAmtbAxRaH/Znbt6W6Gktoz179uDu7l7oPnNzczIzM0lOTkaSJI4dOyb3xOYJCgpi6NCh1K5dm+joaCC3t2/79u3Mnz8fXd3ctyOGhobyD+o/q2HDhujp6cm9P6tWrWLRokXyNxSNjIzo3bt3gXS2trbcvXsXABcXFxQKBQqFgjZt2vD48WMAfv31Vzw9PTE3Nwdyv2tVnKpVq2JoaCj3NiUmJuLl5UVUVBQA0dHRtGvXDsi9Vnk9oAsWLJDzsLCwYO7cubi6uhITE6ORf2BgIJ06dcLb21u+vsV58uQJNWvWlLcbN26Mjo6ORi865PZM5/XM+fr6MmvWLDw9Pdm0aRPz58/n0KFDKJVKMjIymDJlCp6enjg5OWk0ZC9evEjXrl1xdXXF29ubtLQ0VCoVX375JV5eXri6urJt27YSy5zfrl278Pb2RqlUMnXqVNRqNTk5OVhZWTFnzhycnJzo168f58+fp2fPnnzyySdyA33Hjh0MHTqUnj17Ymdnx/Lly0uV76xZs3B1deXChQt8/fXXeHl54ezszOTJk5EkieDgYK5du8aoUaPkHuH8vY8xMTH06dMHyP3G7NixY+nWrRvjx48nJyeHOXPm4O3tjaura6l7Am/dusUXX3zB6tWradWqVYnx9fX1qV+/vtwbGBoaio+Pj0acoKAgfH196dixo8YLo1WrVrF48WKMjY0B0NHRYezYsRoNVsh9QaWvr6/RKGzRogXt2rXjl19+wdbWVm6wAjg4OGBhYVGgDN27dy/VNRg2bBjr1q0r9EXOqVOnNHpeg4KCmDt3Lvfv3ycpKalU+RcmICBAvte/+eabAvtzcnIYM2aM/Bx/9913AMTHx9OvXz88PDzo0aMHd+7cAcDAwIAaNWpw5cqVty6TIAiCIPybXL+Ywcs/1Fh30EdP/5/btPvb9rRuik4i4cXrd5KXQqFAkiQ+qqLLF21rFBkvKyuL+/fvU7du3SLjeHt7s3fvXlq0aEHLli2pVOn/jSl//fo1p06dYsmSJbx8+ZLg4GDatWsnD1c0NDQsMt/Xr1+jVCrlbX9/f7p161aq87ty5QofffQRZmZmpKam8urVK+rXr19iuiNHjhTo4cnOzuaXX35h3rx5QO6Pz5ycHHx9fUlLS2Po0KEl9pK0a9eO6OhoVCoVH330ER9//DEnT57E2dmZ69ev07p1axITE1mwYAEHDx7ExMSEvn37cvDgQTw8PEhPT8fa2prZs2dr5JuUlMTXX3/NwYMHMTIyolevXrRo0aLYsvTp04d+/fqxb98+OnXqRK9evWjYsGGJ1yY7O1vuna5SpQqXL1+WG9aTJ0+mSpUqqFQq+vTpw/Xr12ncuDGjRo1i7dq1tGnThtTUVHR1dfnpp58wMjJi//79ZGZm0r17dxwdHalXr16JZbhx4wYHDx4kODgYbW1tAgICCA4OpkuXLrx8+RJnZ2fmzJnDoEGDWL58OYGBgVy/fp3JkyfLjaWLFy8SFhZGpUqV8Pb2xtnZGW1t7WLztbW1leu/UaNGTJo0CUmSGD16NMeOHaNbt25s3ryZ+fPnl3j9Ae7cucMvv/yCrq4uW7ZswczMjH379pGZmUmXLl1wdHSUX4oUZfDgwXz77bdl6qXv1q0bISEhmJiYoKurS7Vq1Xj27Jm8f+/evfz88880btyYHTt20LVrV168eEF2dnaJ5YHc+imqAX3z5s0SG9eSJBESElLqhnu9evWwtrbm119/xcHBQWNfXr0APHjwgD/++INWrVrh4+NDaGgoX3zxRYn5z5kzR35xs2bNGpo0acLUqVOpUqUKOTk59OrVC29vb5o0aSKnuXz5Mi9evJBflOS9uAgICODrr7+mQYMGREVFMWPGDH766ScAWrduTWRkJC1btizVeQuCIAjCv9Xj37O4G5dFwyY61Kj9z1p46U1/20ZreXj+/Lncu1KULl26MGrUKOLi4ujevbtGb99vv/1Gx44d0dPTw8vLixUrVjB37twCeQQGBrJp0yZevHhBcHAw5ubmbzU8eOPGjQQGBhIfH1/iHLT8/P390dXVpW7dunz55Zca+6ZNm0aHDh3o0KEDkDtE9PLly+zatYvXr1/TpUsXPv74Yxo1alRk/m3btiU6Ohq1Wo2NjQ3W1tasXLmSq1ev0qhRI3R1dbl06RKffPIJVatWBaBHjx6cPXsWDw8PKlSogLe3d4F8L1y4oJGma9euxMfHF3uuLVq04MyZMxw/fpyTJ0/i7e1NSEiI3ONdlK5duxa5LzQ0lO3bt6NSqUhKSuL27dsoFAqqV69OmzZtAORe7uPHjxMbG8u+ffsASE1NJSEhoVSN1pMnT3Lp0iU8PT2B3BcbtWrVAnKHk+c1XJo2bYqxsTHa2to0bdqUBw8eyHk4OjpSuXJlADw8PIiKiiInJ6fIfCtVqiSHQ24P3rp168jMzOT58+e0atWqwOiCkri5ucnX+8SJE9y+fZvg4GD5esTHx5fYSOzUqRM7duzA3t4eLa3SvWV0dnbmm2++wdjYmG7duqFWq+V9MTEx1KxZk1q1amFmZkZAQAAvX74skEdYWBiLFy8mJSWF9evXY21tXdrTLlF0dDSVK1emcePGpU4zduxYhg8fTqdOnTTCY2Ji5Gc5ODhYvn+7devG1KlTS91ofXN4cHBwMD/99BMqlYrExERu3bql0Wht0KABd+7cYebMmbi4uODo6EhKSgoXLlxg2LBhcrz8vcNVq1bl999/L/U5C4IgCMK/UforNZfOZWBSpQJWrf6Z81jz+9s2WovrES0rbW1tcnJySoynq6tLZmZmsXGqV6+OtrY2J06cYN68eRqN1uDgYM6dOyc3+F68eEFERATt2rXj4cOHpKWlYWhoSJ8+fejTpw/Ozs4aP6TLKm9O6+HDh5k0aRIREREYGRmhr6/PvXv3iuxtzZvT+qbly5fz7NkzNm3aJIfVqlWLKlWqoK+vj76+vrwITnGN1nbt2rF582bUajX9+vXD0NCQ169fc+bMmVL1lOno6BQ5l/JtGBgY4OXlhZeXF1paWoSFhdG1a1eNa//6tWavvr6+fqF53b9/n/Xr17Nv3z4qV67MuHHjCqR90/z58+ncuXOZyy1JEn369CEgIEAjPCcnR6OHX0tLS97W0tLSaCDkzanOv11cvrq6unKajIwMZsyYwcGDB6lVqxZLliwp8ly1tbXl6/nmM5T/WkqSxMKFC7G3ty/VNcizaNEiJk6cyIwZMwosclYUXV1drKys+O677wgPD5dfHEDus3rjxg35Wc2b992nTx+0tbV5+PAh5ubmuLi44OLigp+fn8biZACWlpb89ttvhR67SZMmXLhwodjyBQcHl3pocJ7GjRtjYWGhMUc9Li6O+vXry/OFg4KCePHihbzgUVJSUrF/D4oSHx/Ppk2b2LdvHyYmJowZM6ZA3ZqamvLbb79x9OhRtmzZwv79+5k2bRpVqlQp8iVcZmZmiS+NBEEQBOHfTK2WOH/2FZIkYdNRH60K/8x5rPn9cwc+/wUqV66MSqUqsREyadIkpk+frtGwSk1NJTIyknPnzhEZGUlkZCQLFy4kKCgIPT09+vbty/Tp0+W8VSpVqVaHXbRokcYP1MK4ubnRqlUr+Ueqv78/06dPJzU1FYBXr16VuGLnjh07CA8PZ82aNRo9We7u7pw7d46cnBwyMjK4cOGCPC+vd+/e8tzX/CwsLEhMTOTcuXPy8NEWLVqwbds2eT5rmzZtOHv2LM+fP0elUhEUFMQnn3xSbBmtra3lNNnZ2ezdu1fed+DAARYtWlQgTVRUFH/88QeQO/z71q1b1KlTh2rVqvH06VOeP39OZmZmkY2PN6WmpqKnp4exsTHJyckcO3YMyB1G++TJEy5evAhAWloaOTk5ODo6snXrVrnBc+fOHdLT00t1LHt7e0JDQ3n+/DmQOxLg4cOHpUqb5/jx46SkpJCRkcGhQ4do27ZtqfPNyMhAS0sLU1NT0tLS2L9/v7zP0NBQYxXmunXryvMU88d7U971yHuJFBcXR0ZGBiqVqtge3AoVKvDtt98SGxsrz62Mjo5mwoQJxZ7/qFGjmD59OiYmJnKYWq1m3759hIeHy8/qpk2b5BW4/f39mTJlitzzKklSoS+zHB0dSUtLY+fOnXLYtWvXiIqKwtfXlzNnzsj3B+T2Wt++fRvIff737dtXYAqAv79/ifM9x44dy9q1a+Xt8PBwnJycgNy5vyqVipiYGPncRo4cKfdslyb/PHkv2YyMjEhKSiI8PLxAnGfPniFJEl26dGHSpElcuXKFypUrU6NGDfnvllqt5tq1a3Ka+Pj4AotiCYIgCILw/9y+/poXT1W0bKuPgeG768j5kP1te1rLi6OjI+fOnSswZyy/vIZXfgcOHMDOzg4dHR05zM3Njfnz55OZmcnkyZNZunQpLi4uGBgYoKurS69evahRI7dH+c05rU5OTkybNo3Y2FiN8KKMHz+e0aNH4+fnx6BBg0hPT8fLy4uKFSuira3NiBEjik0/ZcoU6tSpIw8r9PLyYvz48VhYWODk5ISrqytaWlr07duXpk2bolaruXv3rjz0ND+FQoG1tTWpqalUrJg7/r5t27Zs27ZN7mmtUaMG06ZNo1evXkiShIuLS5ELYOWpUaMGEydOpGvXrpiYmNC8eXN537179wqdM3z37l2mTp2KJEmo1WpcXFzw9vZGoVAwfvx4fHx8qFmzZqmHaDZv3pwWLVrg4OBA7dq15XuhUqVKrF27lhkzZvD69Wt0dXUJDAykX79+PHjwAA8PDyRJwtTUlO+//75Ux7KysmLChAn06dMHSZLQ1tZm8eLF8j1TGm3atOHzzz8nMTGRPn36yC8RSpOvqakpvXr1wsnJierVq2sMje3duzeTJk1CV1eXffv2MWHCBP773/9iYmIi914WZsCAATx69Ag3Nzcgd6jo5s2b5cZPcfT09Ni8eTM9e/bEzMwMY2PjEnvsrKyssLKy0giLiIigbt26VKtWTQ7r2LEjY8aMITk5mc8//5zXr1/j5eWFrq4u+vr6dOjQocCKxQqFgu+//55Zs2bxv//9Dx0dHerVq8fcuXPR09Pjhx9+YM6cOcyYMYOKFSvSokULebpAREQE9evXLzAsOjY2tsQVmZs3b06zZs3kBnB4eDhfffUVkNvL+uYQX29vb8aNG8fYsWNLlX+eli1bYmFhgYODA3Xq1Cn0796jR4+YOHEikiShUCjkT1B9++23TJ06lWXLlpGdnU2PHj3k5zUmJoYpU6aUqgyCIAiC8G/z7EkOt65nUqdBRerU/+d9j7UoCqmkX4Ll6NGjRxrb6enpRQ7L/DNKOzwYchc12rBhg/z5l/LWr1+/Ui/U8j7duHGDnTt3MmfOnFLFL0sdvI0xY8YwZ84ceb6rkNt7fuPGDXlRpb+6Dv6MgwcPkpiYWKZv+M6ePRs/Pz+NOZYfspKu/x9//MHUqVM1elFLkvdd6eJ6t/9M/u/axYsX+eGHHwpdifjPKs3/P8zMzEr8bJfw1xJ1UP5EHZQ/UQfl70Otg6xMNccPpVKhggIHNyO0K/69hwXXrl271HFFo5Wy/1jfuXMnvXr1eqfzKv/tPuQG0z/V36nR+m8grn9ur7CFhUWpVmcuK9Fo/XsQdVD+RB2UP1EH5e9DrANJkoiOSCfpcTadXAypbPr3HzBblkbr3/9sy8Fnn31W3kUQhD8t//dDBeFD8DYLkgmCIAjCv8G9O1kkPsymWWvdf0SDtazEQkyCIAiCIAiCIAgfqJd/qLh2MYNqNbVpaKlTcoJ/INFoFQRBEARBEARB+ACpciTOn3mFtrYC6w76BT5X+G8hGq2CIAiCIAiCIAgfoGsXM0h9qca6gz46uv/eptu/98wFQRAEQRAEQRA+UI9/z+LenSwaWepQvVbF8i5OuRKN1jLK+4SESqXiwYMHmJubs2TJEnn/8+fPqV+/vvw9wmXLlmFjY4NSqZT/paSkkJGRgb+/Py4uLjg7O9O9e3devXoFwMqVK+VvnyqVSs6fP18g/61bt2qU69WrV0yZMoWOHTvi7u6Oh4cH27dvB+DBgwc0atRIowy7d+8u9jzHjRuHra0tSqUSV1dXTp48Ke/Lzs5m4cKF2NnZ4e7uTpcuXTh69CgAHTp0wMXFBVdXV/r27cuTJ0+A3O9D5oX7+fnx/Plzjevj7OyMUqkkLCys2HLNnj2bjRs3ytv9+vVj0qRJ8vbcuXNZv359sXm8ycLCoshrsHfv3mLTxsXF4evri1KpxNHRkYCAgDIdGyAyMhInJyeUSiUZGRllTl+c8PBwuc4tLCywt7dHqVQyduzYd3qcd0mtVrN69er3cqyEhASN7xxv3boVLy8vXgaNudcAACAASURBVL58WWSaHTt2YG5uzunTp+WwvXv3Ym5uzsGDB+Ww5ORk6tWrV+CTVGlpaQQEBMjPqqenJzt37iy0PDExMXTv3h0HBwfc3NwICAiQ75HffvsNDw8P+d5ZsGABADNnzpTr3M7OTv72bnFsbGwYOXKkvB0cHKzxXGVmZuLp6VngfBMSEkrMOy9/FxcXuVz5/6a9KScnp8C3c0tr+PDh3Lt3763SCoIgCMKHJCNdzaWoDEyqVKBpy+K/O/9v8O9beupPCgwMxNPTU/7cTb169QgLC2Py5MkAhIaGFvgu5LBhwzR+EAKsWrUKMzMzuZEWFxeHtrY20dHR/Pbbbxw8eBAdHR2eP39OVlaWnC40NJSPP/6Y4OBgBg4cKIdPmjSJevXqcerUKbS0tHj27Jn8Qxigfv36HDlypEznOmPGDHx8fIiIiCAgIICIiAgAli5dSlJSEkePHkVHR4fk5GTOnDkjp9u9ezempqYsWrSIVatWMXv2bGbNmkV4eDimpqbMnz+fzZs3M3HiRPn6+Pv7l+pzH+3atSM0NJRhw4ahVqt5/vw5qamp8v7o6OhSfxs2JycHbe0/9wjMmjWLYcOG4e7uDkBsbGyZ0qtUKvbs2YO/vz89e/b8U2UpTOfOneUVWX19fZk5cyatW7d+58cpq+KuvVqtZs2aNfj7+7+zPEsjMDCQbdu2sWvXLoyNjYuNa2VlRXBwMB07dgRyG3nNmjXTiBMaGoqNjQ1BQUEaKzWPHz+eJk2ayM/q06dP2bVrV4FjJCUlMWrUKNavX4+1tTWSJBESEkJ6ejrx8fHMnj2brVu30qhRI1QqFT/++CMAX375pZzHhg0biIuLK9X5/3/s3XlclWX+//HXfTjsIiigGO67maiJu+YCuKVp5ZbZOjWplWXN17JMZ6bG9nKyvUnbHLOsRE3NPS1HVNx3cUHFHUGR/XDu3x8M909UEBrkCLyfj4ePOufc93V/zn3d9+F8zrVt3ryZuLg4GjZseMVrMTExtGvXznocHR1Nu3btmDt3LuPGjStS+T/++CP+/v5F2vaPuu+++/joo4947bXXrutxRERErifTabJpXSpOp8mtHX2wuVXMcayXUktrMf34449WggLg7e1No0aN2Lp1K5D7RXXAgAHXLOf06dOEhIRYjxs2bIinpyenT5+matWqeHrmzgxWtWrVfNtFR0czadIkTp48aa1je/jwYbZs2cJzzz2HzZZbpYGBgTz++OP/+xsmt5Xk5MmTQG5L88yZM3nllVesGIODg7njjjuu2K9Dhw4cPnwY0zQxTZO0tDRM0yQlJYXq1av/oVjCw8OJjY0FYO/evTRp0oRKlSqRnJxMZmYmcXFxtGjRAtM0efnll+nZsycRERFER0cDsHbtWu68804efPDBK5bXME2TF198ka5duzJs2DASExOvGc/p06epUaOG9TivhWj27NlWazvA/fffb7XMNWrUiL/97W9ERkYybdo0FixYwJtvvskTTzxBamoqQ4cOpXfv3kRERPDLL79YZXz//fdERkYSGRnJk08+CUBiYiKPPvoo/fr1o1+/fmzYsKHI59LhcPDXv/6V22+/ncjISCvpWb16NYMHD+bBBx+kY8eOvP7663z//ff069ePyMhIjh49CsCTTz7J888/T58+fejSpYvV2n55uXktjXnl3n///URERADwwAMPWK2FedtNmTKFixcvWi3Cl7c+vv/++0ydOhWAQYMGMXnyZPr27cuMGTM4c+YMjzzyCH379uX222+3rpVr+emnn/jkk0+YNWsWVapUueb2HTt2JDY2FofDQUpKCgkJCTRt2jTfNnPnzuVvf/sbR44c4dSpU0Duj1O7du3i2Wefte7VoKAgxowZc8Uxpk+fzj333EPr1q0BMAyDgQMHEhgYyIcffsjTTz9NgwYNAHBzc+OBBx64oozo6GgGDhxYpHPw2GOPMW3atKu+tnLlSnr27AlASkoKmzZt4s0332TevHlFKvtqUlJSGDJkCL179yYyMvKqP6qdOHGCQYMGERUVRc+ePa3re8WKFQwYMIDevXszatQo0tLSAOjUqROrVq0iJyfnD8clIiLiavt3Z3LuTA4tbvWhkp+bq8O5IZTZltYdm9K4kFwyX0wMw8A0TSoHuHHLrQUvPp+VlcWRI0eoVatWvucHDhxIdHQ0QUFB2Gw2qlevbn1JBfjss8/44YcfAPD392fOnDkMGzaMESNG8PPPP9OlSxeGDBlC/fr16datG++++y5dunSha9eu3HHHHXTs2BGAhIQETp06RevWrenfvz/z5s1j1KhR7Nu3j5tvvtn6Enw18fHx+b74v/LKK7Rv375I52fVqlX06dMHyO2+GBoaip+f3zX3W7ZsGU2bNsXd3Z1XX32ViIgIfHx8qFevHlOmTLG2mzFjBnPmzCEsLIxJkyYREBBQYJkhISHY7XYSEhLYuHGjlVDHxsZSuXJlmjZtioeHBz///DM7d+5k6dKlnDt3jn79+tGhQwcAtm/fzooVK6hdu3a+shctWsSBAwdYtWoVZ86coUePHgwbNqzQ9/joo48ydOhQwsPDue222xg2bNg1W5PS0tJo3bo1kydPBnJ/dIiMjKR///44HA4+//xz/Pz8OHfuHAMGDKBXr17s27ePf/7zn8ybN4+qVauSlJQE/P+W3nbt2pGQkMCIESP49ddfCz1+nm+++YagoCB+/vlnMjMzueOOO+jatSuQ22K8atUq/Pz86NChAw888AALFy7k448/ZsaMGUyaNAmA48ePs3DhQg4ePMjw4cP5/fffmTVrVr5yBwwYQLdu3QDYunUrq1atIjQ0FICpU6dSpUoV0tPT6du3L/369eOFF15g1qxZVhJzrS6oTqeTRYsWATBq1ChGjx5NmzZtOHr0KA888ICVTBfkyJEj/O1vf2Px4sUEBQUV6dwZhkHHjh1Zs2YNZ86coXfv3vlaNI8ePUpycjJhYWH079+f+fPn88gjj7Bv3z6aN29e6L2aZ+/evYwcObLA167Vxfvw4cOcPHnS+vy4lkGDBjFjxgyOHDlyxWsxMTFWb5JFixYRERFBw4YN8fHxYefOnTRv3vya5d91113YbDa8vb2ZN28eXl5eTJ8+HT8/P86ePcvAgQPzfUZB7o+EUVFRPP744+Tk5JCRkcHZs2f54IMP+O677/D29uaf//wn//rXvxg7dixubm7UrFmTPXv2FCkmERGRG03SWQf7dmYQWtudmnUr9jjWS5XZpNUVzp07d9Vug927d+eNN94osMXxat2Db7nlFv7zn//w66+/smbNGm6//XbmzZtHo0aNWLx4MTExMaxdu5bRo0czYcIEhg0blq8Vd+DAgTz77LNXlAu5Y2IXLFhAYmKiNXbsj3QPfuWVV3jttdc4ceJEsVpUhgwZgs1mo1mzZowfP57s7Gy++uorfvnlF+rUqcPEiROZNm0aTz/9NPfffz9PP/007u7uTJkyhb///e+88847hZYfHh7Oxo0b2bhxI3/+8585efIkGzdupHLlyrRt2xaA9evXM2jQINzc3AgODqZDhw5s3bqVSpUq0apVqysSVoB169ZZ+4SEhNC5c+drvtdhw4bRrVs3Vq1axS+//MI333xzzfPs5ubG7bffftXXTNPktddeIyYmBsMwOHnyJGfOnOH333+nf//+VK1aFcBqDVyzZg379u2z9r948SKpqan4+vpeM/bVq1ezf/9+qxU6JSWFgwcPAtC6dWuCg4OB3C7weUlns2bN8rVeDhgwAJvNRsOGDbnppps4dOhQoeW2adPGSlgh9wedJUuWALmtavHx8cVONi6959asWcOBAwesx3njx729vQvcPygoiEqVKrFw4UIefvjhYh135syZnD17lldeeYW3337bei06OtqKa+DAgUyYMIFHHnnkijLeffddFi5cSFJSElu2bCnysYsiOjqa/v37FylBhtzr8rHHHuP999/Pd+0nJCQQGBiIl5eXVW5ey/Add9xBdHR0kers8u7BpmkyZcoUNmzYgGEYnDhx4orP2JYtW/Lcc8+RmZlJ7969ad68uXXN553f7OzsfF2Xg4KCOHXqlJJWEREpcxzZJpti0vDyNmjRpuIub3M1ZTZpLaxFtLjsdnuRxlN6eXmRmZl5xfMeHh6EhYXxySefsHLlSutL+LX4+vpa3TptNhvLly+nUaNGuLm50alTJzp16kTTpk35/vvvGTZsGHPnzuXMmTP89NNPQO6Yt4MHD9KoUSN27dqF0+nEZrPx1FNP8dRTTxU4wVBR5Y1pnT59Os8++yyLFy+mXr16JCQkkJKSUmBra96Y1jx5X8br1q0L5CY6H3zwAYCVGNlsNu69996rdnG8XF7SumfPHpo2bcpNN93EJ598gp+f3zVbRgF8fEru2oHc1t/hw4czfPhwevbsyd69e7Hb7TidTmubS68bT09Pa0z05X788UcSExNZtGgR7u7utG/f/qrXXB6n08n8+fOthKI48pKGvNbVvPtg9erVeHh4WNvZbDbrsWEY+bpeXv5hmtdr4dJy86xevTrfuV+9ejUxMTHMnz8fb29vBg0adNX3arfbMU3TepyZmZnv/F2ekP7888/54r8WHx8fvvnmGwYNGkRgYGCRu9OGh4fz/PPPU6lSJevazjN37lySkpKsCc9OnTpFfHw8jRs3ZufOnda9Om7cOMaNG3fVe7VJkyZs376dyMjIK15r3Lgx27Zto0mTJgXGN2/ePN56660ivZc8Q4cO5aOPPqJ+/frWcytWrKBHjx5Abnf0devWsX//fgzDwOFw4O7uzoQJE4r9h3XOnDmkpKSwePFi7HY7bdq0ISMjI1/S2qVLF+bMmcPy5ct56qmnGDNmDN7e3nTv3r3ArsyZmZl/6H4QERFxtZ1b0km76KRTj0q4eyhhvZTGtBZDQECA1UXtco899hgvvPBCkcbDAWzYsIHk5GQgt9vxvn37qFmzJnFxcVarFMDOnTupWbMmBw4cIDU1ldjYWGJiYoiJieGJJ54gOjqaevXqERYWxuuvv24lFBkZGfm+6Bdk7NixbN68udBtHnroIZxOJ6tWrcLb25t77rmHSZMmWRNEJSYmMn/+/AL3DwkJYf/+/dYY0dWrV1uTvVzajXrRokXWl/ATJ04wdOjQq5YXHh7OsmXLCAgIwM3NjSpVqnDhwgViY2MJDw8HcmcxnjdvHjk5OSQmJhITE0OrVq0KfZ8dOnSw9jl16lS+2WFfffVVqwvqpVauXEl2djaQO741KSmJkJAQatWqZSUnCQkJRW5FS0lJISgoCHd3d37//XeOHTsGQOfOnVmwYIE163Je9+Bu3boxY8YMa/8dO3YU6Th5+3711VfWDzZxcXHFnr14wYIFmKbJgQMHOH78OPXq1StyuSkpKQQEBODt7c3evXutceF5kynl7R8cHMzJkydJTk4mIyOj0Bmmu3TpwhdffGE9zjsfGzdu5Jlnnilwv+DgYL755hteeeUVVq9eDcC//vWvK2bpvpRhGEyYMIHnn38+3/P79u0jJycn3706atQooqOjadiwIc2aNeOtt96yftQo6F596KGHmDVrlnVeTNNk/vz5JCYmMmbMGKZOnWp1nc7JyckX6549e8jIyLDGw+ZtkzcutSAeHh48/PDDfP7559Zzq1atspLW+fPnM2zYMNavX09MTAyxsbFUr16djRs3Fqn8S124cIHAwEDsdjurV6+2xs1f6tixY1SrVo2RI0cybNgwduzYQXh4OOvWrbNmCc6bmCrPoUOHCk3mRUREbkQnjmVx5GAWDZt5ElitzLYrXjc6I8XUrVs31q9fz2233Zbv+SZNmhT4RenSMa2QO8HK4cOHmTBhAqZp4nQ6iYiI4Pbbb2f79u1MnDiRCxcuYLfbqVu3Lm+88QZffPFFviUnAPr168fo0aMZN24cb731Fi+//DKdO3emSpUqeHl5MXHiRGvby8e0Dh8+nD/96U/s3r37mpMiGYbBU089xYcffkj37t0ZP348b7zxBj169MDT0xMfH598y2NcLiQkhHHjxnHXXXfh7u5OaGgo7777LpDbBXnXrl0YhkHNmjWt5YNOnz5d4EywzZo149y5cwwaNMh6rmnTpqSmplotvH379iU2NpaoqCgMw+DFF1+kWrVqhc6k2rdvX37//Xe6d+9OaGgobdq0sV7bvXv3FePtAH799VcmTZpkTUo1ceJEqlWrRnBwMLVr16Z79+40atSIFi1aFHjcS91111088MADREREEBYWZiX3TZo0YezYsQwePBibzcYtt9zC1KlTefnll3nhhReIjIzE4XDQvn37fEswFea+++7j+PHj9OrVC8jtVjl9+vQi7ZsnJCSEvn37kpqayhtvvIGHh8cV5QYGBuZLrPNEREQwc+ZMunfvToMGDfIlWMOHDycyMpKwsDDee+89nnzySfr160dISEihPQimTJnC888/z3fffYfD4aBTp05MmTKFhISEa7a+1atXj+nTp/Pggw8yffp09u/fT5cuXQrd52qtoHPnzrXGgOe5/fbbefrppxk7dizvvPMOL7/8Mp06dbLu1bwxwpcKCQnhgw8+YNKkSSQlJVnjaCMjI7nllluYPHkyo0aNslqnL50g7tLuyXkSExOL9EPWiBEjrFbM7Oxsjh07Rr169axyL58tuF+/fkRHR1OnTp0ilZ8nb7KviIgIWrVqZR3jUr/99huffvopdrudSpUq8d577xEcHMzbb7/N6NGjrR/Onn/+eerXr8/Jkyfx8/MjMDCwyHGIiIi4Wka6k20b06kc4EaT5uotdDWGWZxvGaUsb3bcPGlpaSXetROK3j0Ycifx+fTTTwvsmlaWpKSk8Oyzz/Lpp5+6OpQr6mDGjBmEhoZaiY+rjRgx4or1Nsub4twHkDt78O23335FgnYjmjx5Mvfee+8Vy1EV5r777mPGjBn/87JIRVXc819cixcv5uTJkzz44INF3mft2rX8/PPP1hqwJV1+Sfvoo48IDAy8ai+Novz9CAoK4uzZs9crPCkC1YHrqQ5cT3XgeqVZB6Zpsn5NKmdPO7itlx9+lSvObME33XRTkbdV0krxvyx+++23DBkypMBxiVJ81/sLu1xbeU5aywLdA/+7wj6blbSWDaoD11MduJ7qwPVKsw4O789k+6Z0brnVm3qNPEvlmDeK4iSt6h78BwwfPtzVIYi4XHnobSDliz6bRUSkLEm5kMPOrekEh9ip27Dok0hWRJqISUREREREpBQ5c0w2r0vDzc2gVTstb3MtpZq0Op1Oxo8fz2uvvVaahxUREREREblh7N2ZwfmkHFq29cbLW+2I11KqZ2jhwoWEhoaW5iFFRERERERuGIlnHMTtzqR2PQ9q1FS34KIotaQ1MTGRTZs2ERERUVqHFBERERERuWFkZ5lsXpeKTyUbzVt7uzqcMqPUktYvvviCkSNHlvn+2unp6dx9993k5ORw9OhRQkND862Lee7cOerUqcOLL74IwFdffcX3339faJlbt27lpZdesh6vWLGCvn370r17d3r16sXf/va3fNtHRUUxevTofM89/fTTNGjQgIsXL1rPTZo0idDQUM6dO1fo8QcPHkzXrl2JjIykX79+7Nixw3otNTWV8ePH06lTJ/r06cPgwYPZtGkTALVq1SIqKoqePXvy5z//mfT0dGu/nJwcevXqxf33358vxg4dOhAVFUVUVFS+41zNn/70JxYvXmw97tq1K1OnTrUeP/rooyxcuLDQMi519OhRevbsWeA52Lp1a6H7x8bG0r9/f6KioujWrRtvv/12kY+dZ/78+XTr1o3BgwcXe99rmT17tnVu69atS0REBFFRUUyZMqXEj1VSkpKS+Oqrr0rlWKtXr+bhhx+2Hr/66qvcd9991lqfV/P6668TGhrK0aNHrec+/vhjQkND812/W7duJTQ0lNWrV+fb/9SpU4wePZqOHTvSp08f7rjjDpYsWXLVeJYuXUqfPn3o0aMHUVFR+ZaZmT17Nj179iQiIoLevXtby1Q9+uijVp23a9fuirWcL+dwOAgNDc1X9vvvv5/vvjp+/DgjR47M934v/2wprPy8z4W8fwkJCQVuf+jQoauuf1wUQ4cO5cKFC39oXxEREVfZsTmNjHSTW9v7YHcv23lRaSqV2YNjY2Px9/enfv367Ny5s8Dtli1bxrJlywB47bXXCAoKyvf6qVOnrtuaiUUt9/vvv+f222/H09MTNzc3ateuzYoVK6wkdeHChTRp0gSbzYbdbs/3pbQgbdq0oU2bNgDs3r2biRMnMnPmTBo1akROTg5ff/21Fd++fftwOp2sX7+ezMxMfH19AbDZbNSrV49ly5YxePBgnE4na9eupUaNGri5uRX6/gzD4KOPPqJVq1bMmjWLf/zjH1ai/X//93/Url2bdevWYbPZiI+PZ9++fdjtdry8vFi5ciUAo0ePZubMmYwaNQqAf/3rXzRu3JiUlBTr2DabjcmTJzNgwICrxnF5jO3bt2fTpk3079+fc+fO4evry+bNm63tYmNjef3114tUdw6Hw1oG42rbG4ZxzfM0btw4PvvsM5o3b05OTg5xcXFFvm5M08Q0TWbPns0777xD+/bti7Rfcdx7773ce++9AISHh/Pjjz8SGBhYrDKux/3lcDgKLPfixYt88803RbpPilpmQdzc3DAMA7vdzptvvsnWrVv55ptv8PIqeBFvm81Gs2bNmD9/PmPHjgVy7/HGjRtjt9utGObNm0f79u2ZN2+e9cOIaZo8/PDDjBw5ks8++wyA+Ph4li9fjt1uzxfPzp07eemll5g5cyYNGjTId98vWbKEL7/8kjlz5lCtWjUyMjKYM2cOdrudGTNmWLG++OKLBAcHX/O8eHt7W++nSpUq2Gw26/MK4Ndff6Vnz57W4+joaFq2bMnSpUsZMmTINc9zpUqVrM+Fa7Hb7dY5KK67776bmTNn8uSTTxZpe09Pzyv+plwtnmttI9eX6sD1VAeupzpwvetVB4f2p3DscDKt2lahUdPifUer6Eolad27dy8bN25k8+bNZGVlkZ6eznvvvWd9CcwTGRlJZGSk9fjy9ZEyMzOvy9qoxVkfcc6cOXzwwQc4HA5ycnLw9vamYcOGxMbG0rJlS+bOnUv//v05deoUDoeDt99+G19fX0aNGsXgwYNp3bo1a9eu5fz587z99tu0b9+etWvX8vHHH/PVV18xbdo0xo4dS7169ayYRo4caf3/Dz/8wN13383+/ftZuHAhd955J5A7ydUdd9zBTz/9xKBBg/jtt98IDw9n5cqV5OTkFPr+TNO0tmndurX1/g4fPsymTZuYNm0aTqcTp9NJaGgooaGhVnl5/23bti27d+/G4XBw/PhxlixZwtixY/n000+tbZxOZ4GxXK0OWrduzT/+8Q8cDgfr1q0jMjKSlStXkp2dzdGjR/Hy8qJq1apcvHiRCRMmsG3bNtzc3Jg8eTKdO3dm9uzZLFq0iNTUVJxOp9Wa5HA4SE9P55lnnmHXrl00bNiQ9PT0a56ns2fPEhgYaG3ToEGDK+oYoGfPnnz55ZcAjBgxgtatW7N9+3YGDBhATEwMTz/9NL169eLBBx9k7NixpKWlAfDKK6/Qtm1bAD744AN+/PFHDMOgZ8+evPDCCxw+fJgXX3yRxMREvL29efPNN2nYsOE16xRyW8xffPFF9u/fT3Z2Nn/5y1/o1asX//73v1mxYgUpKSkcPnyYMWPGkJaWxk8//YSXlxdff/01/v7+DBo0iLCwMP7zn//gdDp55513aNmyZaHlLlu2jAsXLmCz2fj88895+OGHuXDhAjk5OTz33HNERUXx97//nQMHDtCjRw969OhBly5d+OKLL5g+fToAzz33HO3atePuu++mTZs23H333axatYonn3yS5s2bM3HiRM6dO4ePjw9vvvkmDRo0KLD+cnJyME2Tf/7zn6xZs4aZM2de8953Op307duXhQsXMmbMGA4cOGAleg6HA4fDgdPpZMGCBXz33XfceeedpKWl4eHhwapVq/D19eWee+6xjhEaGsr9999vfX6YponD4eC9997jmWeeoU6dOlfc91OnTmXSpElUrVrVStaHDx+eL26n08n8+fP56aefCn0/DocDd3d3hg0bxieffMJf/vIX697O22/FihU8//zzOBwODhw4QHZ2Ni+88AKffvqp9XlTWPmX/jfP4cOHGTduHKmpqdhsNqZMmcKtt96Kw+GwzsHu3bt59tlnyc7OxjRNPv/8c+rUqcN3333Hl19+SVZWFuHh4fzjH//AZrMRFRXF0KFDr+h1UpDMzMxrrrmntRFdT3XgeqoD11MduN71qIP0NCe/r0ohoKoboXWdqmNuwHVaR4wYwYgRIwDYuXNnvlaLP2r16tWcOXOmJMLDMAxM0yQ4OJjbbrutwO2ysrI4cuQItWrVyvf8wIEDiY6OJigoCJvNRvXq1Tl16tRVy3A4HPz8888sX76cd955h9mzZ+d7fe/evTz22GMFxjBv3jy+/fZb4uLimD59er4vkfXr12fJkiUkJycTHR3NXXfdVeQWjzwrV66kd+/eQG6rbvPmza/5Q4HD4WDlypV0794dgMmTJzNx4sSrdid8/fXXmTp1Kp07d+aFF17A07PgRZTDwsLYu3cvWVlZxMbG0qFDB+Lj49m/fz87duywWqe/+OILDMNg+fLlxMXFcc8997BmzRoAtm/fzrJly6hSpUq+Lp5fffUV3t7e/Prrr+zatYs+ffpc89w8+uij3HbbbXTs2JHu3bszZMiQQlvpILf749SpU61Y165dy0svvUTLli1JT09n1qxZeHl5cfDgQR5//HEWLVrEihUr+OWXX1iwYAHe3t4kJSUBWDNv169fn02bNjFhwoRrdj3P8+6779KjRw+mTp1KcnIy/fv3t671vXv38ssvv5CRkUHHjh2ZPHkyS5YsYeLEifz4Uoc5NQAAIABJREFU44889NBDQO71v3TpUn777Tf+8pe/sHTp0kLL3bFjB0uWLCEgIIDs7GymT5+On58fZ8+eZeDAgURFRVnJ+NKlSwGu6F57ucDAQKt77eDBg3nrrbeoW7cuGzZsYOLEicyaNavQ/WNiYti/fz+LFi3C27to40gqV65McHAwcXFxzJs3j4EDB+br0hwTE0ODBg2oU6cObdu2te6hvXv30qJFiyIdY+/evYwbN+6qr+3bt4+wsLBC91+7di033XQTderUKdLxHn74YXr16mX90JLH4XAQHx9vJf/R0dEMHDiQTp068cwzz3Du3DmqVq1aaNkXL160uvzWrVuXzz77jOrVq1vXelxcHE8//TQLFizIt9+XX37JY489xsCBA8nMzMQ0Tfbs2cPixYuJjo7Gbrczfvx4oqOjufPOO6latSqpqamcP38ef3//Ir1vERERVzBNky3r03DmmLTu4IPNpm7BxVUqSWt5ce7cOSpXrnzF8927d+eNN94gODiYO+64o9Ay+vXrB+QmZMeOHSvW8bdu3UrVqlUJDQ0lJCSEZ555hqSkJKpUqZKv/OjoaDZv3pxvrO21PPHEE2RnZ5OammolBdeSkZFhfTlt374999xzD0uXLiUoKIiwsDDWrl2bb/sJEyZQrVo1srKyGD9+PB9++GGBX9Qhtztf48aN2b59O7GxsYwePZr4+Hg2btzIjh07rFbJDRs2WIlVw4YNqVmzJgcPHgTgtttuy3d+8sTExFhdUm+++WaaNWt2zfc7btw47rzzTn799Vfmzp1LdHQ0c+bMKXSfmjVrWgnr5bKzs3nxxRfZtWsXNpvNinnNmjUMGzbMSqqqVKlCamoqsbGx+X7QKGws5uV+/fVXVq5cyfvvvw/ktjrljTXs3LkzPj4+VK5cGV9fX6tOmzZtasUEMGjQIAC6dOlCYmIiqamphZbbrVs3AgICgNwP6ylTprBhwwYMw+DEiRPXHGt9NXn31/nz59m8eTOPPvqo9VpOTs41969Xrx6JiYn89ttvRfqh4tLjRkdHs3TpUn744Yd8SevcuXMZOHAgkPsD1ty5c60ffi713HPPERsba3XPLUnR0dFW/RRFXuv5jBkz8s0zsHHjRsLDw/OV+/XXX+Pm5kafPn1YsGBBvnHqV1OpUiXrR4g8mZmZTJw4kV27duHm5kZ8fPwV+4WHh/Pee++RkJBA3759qVevHmvWrGHr1q3WWN2MjAxq1Khh7RMYGMjp06eVtIqIyA3t0L5Mzp5yEBbuTSW/ku81WhGUetLavHlzmjdv/j+XU1iLaHEVtXuwl5cXmZmZVzzv4eFBWFgYn3zyCStXriw06fPwyJ3W2s3N7arHzEvSrnaO5s6dS1xcnDUe8uLFiyxcuNAaxwi5X6779OnDkCFDsNmKPs/W+++/T1hYGC+//DIvvfSSNSZ1165d5OTkXLW11cvL64ovpxs3bmTJkiWsWLGCzMxMUlJSePLJJ5k2bRrVq1cHcpPRYcOG8fHHH18zrrZt2xITE0NqaioBAQG0adOGGTNmsGPHjnyTxRTEx8eniGegaOrWrUvdunW59957CQsL49y5c7i5ueF0Oq1tLr1GCjv+Z599RnBwMEuXLsXpdFK/fv0Ct3U6nVSuXPmK811Ued0t69atm+/5mJgY65qE3F4HeY/zusBe+tql8nooFFTupS2Zc+bMISUlhcWLF2O322nTpg0ZGRlXxGm32ws8l/D/z6dpmlSpUqXY56NatWpMnTqVYcOGERAQQIcOHYq0X69evejWrRvh4eHWOHLI/eFh0aJFVs8Jp9PJhQsXSEtLo0mTJixfvtza9vXXX+f06dNX7WLbuHFjtm3bdtXu3o0aNWLbtm0Fxpqdnc3ixYv5y1/+UqT3kuexxx6jX79+3H333bi7uwPk6zGxY8cOjhw5Yo1jzcrKon79+tdMWq/mk08+4aabbmLatGlkZ2fTuHHjK7YZPHgwbdq0Yfny5YwcOZK3334b0zQZNmwY48ePv2q5GRkZ1+ztICIi4koXknPYvS2D6jfZqV1fy9v8UVrJthgCAgLIycm56pftxx57jBdeeOGqrXrFMXr0aKZNm8aBAweA3GTlq6++ssasLV++nJiYGGJiYpg+fTpz587Nt3/NmjV57rnneOCBB64oe+jQoZw4caLAYxuGwf/93/+xadMm4uLiqFu3LmFhYbz11luYpgnkzsCbN1nW1UyYMIHY2FhiYmL48MMP6dy5M9OmTQOwukybpsnixYtp2rQpAJs3b+aJJ564annh4eF888033HzzzQA0a9aMTZs2kZCQYO3frl07fvrpJwAOHDhAQkJCoWMbIbdlOO/c7dmzh927d1uvjR07ls2bN1+xz7Jly6zzcOjQIWw2G/7+/tSqVYvt27cDud2Rjxw5Uuix81y4cIFq1aphs9n44YcfrJbC2267jdmzZ1uzMSclJeHn50etWrWsFjrTNAud1Oxy3bt3t8aJAtecuflq5s2bB+R2RQ0KCsLHx6fI5V64cIHAwEDsdjurV6/m5MmTQG6rXGpqqrVdzZo12bdvH1lZWSQnJ/P7779ftbyAgACqV6/OokWLgNz7JO98LFiwgDfeeKPA99GwYUM+++wzHn/8cXbt2gXkjicu7McmX19fXnzxxSuu09WrV9OyZUs2btxITEwMGzZsICoqil9++YVu3bqRkpLCzJkzre0vnWH7UmPGjOGdd97h0KFDQG6rcV5r7pNPPsnLL79sDYfIzMzM1w161apVNGvWzPpRCCAhIcEaklGQqlWr0qdPH7777jvrud9//50uXboAuT+SjR8/3vq82bRpE0eOHOH48eNFKv9SKSkpVKtWDcMw+P7776376FLx8fHUq1ePRx55hIiICHbv3k3Xrl2ZP3++1Sp/7tw5qyU/JyeHpKQkrf0tIiI3rJwck03rUnH3MGjZ1qfMr6LiSkpai6lbt26sX7/+iuebNGnC0KFD/+fyb775Zv7617/y+OOP061bN3r27MmRI0eIiYkhJCSEkJAQa9sOHTqwf//+K8bP3nfffVe0fDmdTg4fPmx11yyIt7c3f/7zn/noo48AeOuttzh79iydO3emZ8+ejBs37g/PpvbEE08QERFBREQESUlJPPXUU0DuF+yCWkvCw8OJj4+3utjmzebWsmVLqyX5gQcewOl0EhERwejRo3n33XcLHSsLcP/995Oamkq3bt1466238o0Z3L17d74EIM8PP/xA165diYqKYuzYsbz//vu4ubnRr18/kpOT6dGjBzNmzCi0xfRSDzzwAHPmzCEyMpK4uDirFbFHjx706tWLvn37EhUVZbVIv//++3z77bdERkbSo0ePInfjBnjmmWdIT08nIiKCHj16/KHleux2O1FRUbz00ku8+eabxSp38ODBxMbGEhERQXR0NPXq1QMgODiYFi1aEBERwZQpU6hduza9e/emR48ejBkzptAxoR9++CFff/21dT7yfkw5fPgwfn5+hb6XW2+9lTfffJMHH3yQo0ePsnv3bqpVq1boPnfeeSe33HJLvufmzp17xTIz/fr1Y+7cuRiGwfTp01m9ejUdOnSgf//+PPvss0yYMOGKsm+55Rb++te/MmrUKLp3705ERISVnPXq1YuRI0cydOhQevToQd++ffMl+vPmzbuia/DJkyeLNGnd6NGjSUxMBOD06dP4+fnh4+ODaZrMmzcvXxdqwzDo06cP8+bNK3L5eR588EFmzZpFZGQkR44cyde6n+enn36ylvs5dOgQd911F82aNeOZZ55h2LBhREZGMmLECCt537JlC23bti1WjxIREZHStGd7BinnnbRs64Onl/5e/S8M82o/ed8gjh8/nu9xWlpaiXf3hOLNHrx9+3Y+/fRTq/WwrNizZw/ffvstf/3rX10dyhVefvllhg4dSpMmTVwdCikpKTz77LPWOpgVSWH3waBBg3jllVeuSNpuRGPGjOGVV1655oRBeUzTZOTIkflaRF2hOJ9D1/LZZ59Rv359IiIiirzP7NmzSUpKumJyppIqv6S98MILDBgwgI4dOxZp+6L8/dCMna6nOnA91YHrqQ5cryTq4OypbP6zKpU6DTwICy/5/KU8KM7swUpaKf6XxW+//ZYhQ4Zcl+V3KqqS/MIuf0x5SVrLKt0DxfPvf/+7WF2UlbSWDaoD11MduJ7qwPX+1zrIynLy6+IU3OwGt/Xyw25Xt+CrueGWvClvhg8f7uoQRErV5WOnRVytOAmriIhIaTFNk+0b08nMMOkS6auEtYSoc7WIiIiIiEgJSIjP5vjRbJrc4kVAVbUPlpQylbTewD2ZRUTkBqa/HyIicr2lpTrZvimNKkFuNGxa+KSgUjxlKmm9fN1IERGRa3E4HJplWERErivTabI5JhVMuLW9D4ZN3YJLUplqs/by8iIjI4PMzMwSXefI09OTzMzMEitPik914HqqA9fS+b8+TNPEZrMVuKyWiIhISTiwN5NzZ3Jo1c4Hn0qarLWklamk1TAMvL29S7xczdLmeqoD11MduJbOv4iISNl0PsnBnh0Z1KjpTs267q4Op1xSfykREREREZE/IMdhsmldGp6eBmHh3iXaG1T+PyWtIiIiIiIif8DubelcvOCkVTsfPDyVWl0vOrMiIiIiIiLFdPpENof2Z1GvsSfBIeoWfD0paRURERERESmGzEwnW9an4VfZRrMwTfZ3vSlpFRERERERKSLTNNm2MZ3sLJPWHXxxc9M41utNSauIiIiIiEgRHT2Uxclj2TRt4YV/FS1vUxqUtIqIiIiIiBRB6sUcdmxOJ7CanfpNPF0dToWhpFVEREREROQanE6TzevSMAxo1c5Hy9uUIiWtIiIiIiIi1xC3O5OkxBzCwn3w8VUaVZp0tkVERERERAqRlOhg384MQuu4E1rbw9XhVDhKWkVERERERArgyM7tFuzlbdDiVm9Xh1MhKWkVEREREREpwM4t6aRedNKqvS/uHkqfXEFnXURERERE5CpOJmRz5GAWDZt6ElTN7upwKiwlrSIiIiIiIpfJSHeydUMalQPcaHKLl6vDqdCUtIqIiIiIiFzCNE22bkjD4TC5tYMPNjctb+NKSlpFREREREQuEX8gi9MnHNzc0hs/fzdXh1PhKWkVERERERH5r+SkLHZuSSc4xE7dhlre5kag0cQiIiIiIiKAM8dk9YpTuLkZtGrng2GoW/CNQC2tIiIiIiIiwN6dGSSeyaRlW2+8vJUq3SjU0ioiIiIiIhVe4hkHcbszadSsMjVqKmG9kag2RERERESkQsvOMtm8LhWfSjbadwlydThyGSWtIiIiIiJSoe3YnEZGusmt7X1w91CKdKNRjYiIiIiISIV1/EgWxw5n0+hmT6oEafTkjUhJq4iIiIiIVEjpaU62xaYTUNWNRjd7uTocKYCSVhERERERqXBM02TL+jScOSatO/hgs2l5mxuVklYREREREalwDu7L5OwpB81be1PJz83V4UghlLSKiIiIiEiFciE5hz3bMqgeaqd2fQ9XhyPXoKRVREREREQqjJwck03rUnH3MGgZ7oNhqFvwjU5Jq4iIiIiIVBh7tmWQct5Jy3Y+eHopHSoLVEsiIiIiIlIhnDmZzcF9mdRt6EH1Gu6uDkeKSEmriIiIiIiUe1mZTrasT6NSZRvNWnq7OhwpBiWtIiIiIiJSrpmmybaN6WRmmrRu74PdrnGsZYmSVhERERERKdeOHc7mxLFsmt7iRUBVu6vDkWJS0ioiIiIiIuVW6sUctm9KIzDYjQZNPF0djvwBSlpFRERERKRccjpNNq9LwzCgVXtfDJu6BZdFSlpFRERERKRcitudSVJiDi3a+ODjq9SnrFLNiYiIiIhIuZOU6GDfzgxCa7tTs46Hq8OR/4GSVhERERERKVcc2bndgj29DVq00fI2ZZ2SVhERERERKVd2bkkn9aKT1u19cPdQylPWqQZFRERERKTcOJmQzZGDWTRo6klQNXdXhyMlQEmriIiIiIiUCxnpTrZuSKNygBtNb/FydThSQpS0ioiIiIhImWeaJls3pOFwmNzawQebm5a3KS+UtIqIiIiISJkXH5fF6RMObm7pjZ+/m6vDkRKkpFVERERERMq0lAs57NyaTnCInboNtbxNeaOkVUREREREyixnTu7yNna7Qat2PhiGugWXN0paRURERESkzNq7M4PzSTmEhXvj5a30pjxSrYqIiIiISJmUeNpB3O5Matf3oEZNdQsur5S0ioiIiIhImZOdZbI5JhXfSjaat/J2dThyHSlpFRERERGRMmf7pjQy0k1ad/DB7q5xrOWZklYRERERESlTEuKzSIjPpnFzL6oE2l0djlxnSlpFRERERKTMSEt1si02jSqBbjRs5unqcKQUKGkVEREREZEywXSabFmfhmlC6w4+2GzqFlwRKGkVEREREZEy4cC+TBJPO7iltTe+ldxcHY6UEiWtIiIiIiJywzuf5GDP9gxCarpTq56Wt6lIlLSKiIiIiMgNLcdhsmldGh4eBmHh3hiGugVXJEpaRURERETkhrZ7WzoXLzhp1d4HT0+lMBWNalxERERERG5Yp09kc2h/FvUaeVAtxN3V4YgLKGkVEREREZEbUmamky3r0/CrbKNZmLerwxEXUdIqIiIiIiI3HNM02bYhnewsk9YdfHGzaxxrRaWkVUREREREbjhHD2VxMiGbpi288K+i5W0qMntpHCQrK4vJkyfjcDjIycmhQ4cODB06tDQOLSIiIiIiZUxqSg47NqcTWM1O/Saerg5HXKxUklZ3d3cmT56Ml5cXDoeDSZMm0apVKxo3blwahxcRERERkTLC6cxd3sZmGLRu76PlbaR0ugcbhoGXlxcAOTk55OTk6OITEREREZEr7N+VSfK5HFqEe+Pto9GMAoZpmmZpHMjpdPLcc89x8uRJevfuzciRI6/YZtmyZSxbtgyA1157jaysrNIIDbvdjsPhKJVjydWpDlxPdeBaOv+upzpwPdWB66kOXK+i18Hpkxks/PEY9Rv5cVtUdZfEUNHroLR4eHgUedtSS1rzpKam8tZbb/HQQw9Ru3btQrc9fvx4qcQUFBTE2bNnS+VYcnWqA9dTHbiWzr/rqQ5cT3XgeqoD16vIdeDINvl1SQqm06Rb78q4e7imZ2ZFroPSdNNNNxV521Jvb/f19aV58+Zs2bKltA8tIiIiIiI3qJ2b00m76KR1B1+XJaxyYyqVpPXChQukpqYCuTMJb9u2jdDQ0NI4tIiIiIiI3OBOHMviyKEsGjbzJDC4VOaKlTKkVK6IpKQkPvjgA5xOJ6Zp0rFjR9q0aVMahxYRERERkRtYRrqTrRvS8a/iRpPmXq4OR25ApZK01qlThzfeeKM0DiUiIiIiImWEaZpsWZ9GTo5J6w4+2NzULViupDmkRURERETEJQ7tz+LMSQfNW3rjV9nN1eHIDUpJq4iIiIiIlLqU8zns3ppOtRp26jQs+vInUvEoaRURERERkVKVk2OyaV0qdneDVu18MAx1Cy5J5oVkzAtJrg6jxGhqLhERERERKVV7t2dwIdlJ2y6+eHqpHa0kmKYJe7Zhrv4Fc/M6jJ63Ywz9k6vDKhFKWkVEREREpNScPZXNgb2Z1GngQUiou6vDKfNMpxO2rse54Fs4chB8KmH06IfRtberQysxSlpFRERERKRUZGU52RyThq+fjZtbebs6nDLNNE3YGoMzehYcOwTBIRgPPInR7jYMD09Xh1eilLSKiIiIiMh1Z5om2zemk5lh0iXSF7td41j/CNM0YUcszuh/Q3xcbrL60NMY7bthuJXPGZiVtIqIiIiIyHWXEJ/N8aPZNG3hRUBVpSHFZZom7NqCM3omHNoHgdUwHhyL0aFHuU1W8+hqERERERGR6yotNYftm9KoEuRGw6blq+tqaTB3b8U5798QtxuqBmPc9zhGpwgMe8VI5yrGuxQREREREZcwnSab16WBCbe298GwqVtwUZn7duYmq3u3Q0Agxr2jMDpHYbhXrAmslLSKiIiIiMh1E7cnk3Nnc2jV3gefSuW7G2tJMY8cwPnjV7BzM/hXwRj+Z4zbemG4e7g6NJdQ0ioiIiIiItdF8jkHe3dkcFMtd2rWqVitg3+EeeYk5txvMNevBl8/jCEPYXTvV+5mAy4uJa0iIiIiIlLiHA6TTevS8PQyaBHujWGoW3BBzAvJmAtmY67+BdxsGP2GYPS+C8PH19Wh3RCUtIqIiIiISInbtSWd1BQnHbv74uFhc3U4NyQzIw1zyVzMJdGQnYnRtRdG/+EYAVVdHdoNRUmriIiIiIiUqFPHs4k/kEX9Jp4EVVe34MuZzhzM35djzv0GLiRjtOmMMWgkRkioq0O7ISlpFRERERGREpOZ4WTL+jQq+9to2sLL1eHccMx9O3DO/hccOQgNm2F7YiJGvcauDuuGpqRVRERERERKhGmabFmfhiPb5NYelXBz0zjWPObZUzjnzIDYtVA1COPRv2C07aqxvkWgpFVEREREREpE/IEsTp9w0Ly1N37+Wt4GwHQ4MJdGYy6YBRgYA0dgRN2J4VmxZwQuDiWtIiIiIiLyP0u5kMPOLekEh9ip16hirid6OTNuF85vPoKEeGjVAdvwRzECg10dVpmjpFVERERERP4nzhyTzevScHMzaNXOp8J3eTVTL2L+8AXmmiVQNQjb4y9itGrv6rDKLCWtIiIiIiLyP9m7M4PzSTmEd/bBy7tiL29jbtuA86sPICUZo9edGAOGY3h5uzqsMk1Jq4iIiIiI/GGJZxzE7c6kVj0PatSsuN2CzbRUzO/+hfn7cgitg+3JlzDqNHB1WOWCklYREREREflDsrNMNq9LxaeSjVtaV9zWRHPnZpxfToPkcxh9B2MMuAfDXevTlhQlrSIiIiIi8ods35RGRrpJ556+2N0r3jhWMzsL84cvMZfPh5Ca2Ca8oTVXrwMlrSIiIiIiUmzHDmeREJ9N4+ZeVAmqeGmFeeIozk/fgmOHMCIGYNx1P4aHlrG5Hire1SUiIiIiIv+T1Is5bI9No2qQG41urliJmmmamL8txfz2M/DwzB27GtbW1WGVa0paRURERESkyJxOk03/SQMDWnfwxWarON2CzbRUzK8/wNz4GzRrie3hcRgBVV0dVrmnpFVERERERIps744Mks/l0KaTDz6+FWd5GzMhHueHr8LZk7ldgXvfhWGrOO/flZS0ioiIiIhIkZw9lU3c7kxq1/PgploVZ3kb57pVmF9/AN4+2J79B0bj5q4OqUJR0ioiIiIiIteUlelkc0wavn42mt9aMZa3MbOzMb/7HHPVQmjcHNufx2P4V3F1WBWOklYRERERESmUaZps2ZBGVqZJl66+2O3lfxyrmXwO50evwsG9GL0GYdx5P4Zd6ZMr6KyLiIiIiEih4g9kcSrBwc2tvPCvUv5TCDM+Duf7/4C0i9geG48R3sXVIVVo5f+KExERERGRPyzlfA47t6QTHGKnfuPyv7xNxu8rcL73d6hUGdtzr2PUru/qkCo8Ja0iIiIiInJVOTkmsf9JxW43aN3eB8Mov92CTacTc8Fszs+fBQ2aYhszAaOyxq/eCJS0ioiIiIjIVe3akk7KeSftb/PF06v8Lu9iZmZizpiKGfs7Xt37kjX0EQx3d1eHJf+lpFVERERERK5wMiGbw3FZ1G/sSbUa5TeBM8+dxfnBP+DoQYzBD1F5xCMkJia6Oiy5hJJWERERERHJJyPdyZb1aVQOcKNpmJerw7luzIN7cX44BTIysD0+EaNl23LdBbqsUtIqIiIiIiIW02myaV0azhyTWzv64OZWPpM4Z8yvmF+8BwFVsY37O0ZoHVeHJAVQ0ioiIiIiIpb9uzNJPO2gVTtv/Cq7uTqcEmc6nZjRMzEXfg+Nm2MbNQHDr7Krw5JCKGkVEREREREAzp52sHdnBjXruFOzroerwylxZkY6zs/fgS0xGF17YYx4DMNefsfrlhdKWkVEREREhMwMJ5vXpeJbyUaLNuVveRsz8TTO91+BhCMYwx7BiBhQ7t5jeaWkVURERESkgjNNky3r08jKNOnS1Re7e/lK5sy4XTg/fBUcDmxjJ2HccqurQ5JiUNIqIiIiIlLBHdybyekTDlq08ca/SvlKEZxrl2N+/QFUDcb2xEsYNWq6OiQppvJ1RYqIiIiISLEknXWwe1sGNWq6U6dB+RnHajqdmHO/wVw0B5qGYRv1HIavn6vDkj9ASauIiIiISAWVleUk9j+pePnYaNnWu9yM8TQzM3FOfxc2rf3vhEujMOxKfcoq1ZyIiIiISAVkmiZbN6STkW7SOcIXdw+bq0MqEWbyudwJl44cwBjyMEbUwHKTjF8uOzubCxcucP78eetf3uOmTZvStm1bV4dYIpS0ioiIiIhUQIfjsjh5LJubW3pRJbB8pAXmkYO5CWvaRWxjXsBo1d7VIf1PTNMkLS2NCxcukJycnC9BvXDhAqmpqfm29/DwwN/fn6pVq+Lv7++iqEte+bg6RURERESkyM4nOdi1JZ1qNezUb+Lp6nBKhLklBue/3gafStjGv4ZRu76rQyoSh8NBSkrKVVtLz58/j8PhyLd9pUqV8Pf3p06dOvj7++Pv70/lypXx9/fHy8urXLYqK2kVEREREalAHNkmsWvT8PA0aNW+7K/Hapom5tK5mHO+gNoNsD0xESOgqqvDspimSUZGxhXdePP+Xbx4Md/2drvdSkRr1aplJab+/v74+flhr4BjcyveOxYRERERqaBM02RbbBqpqU469aiEp2fZHsdqOhyY//4Yc80SaNMJ20PjMDxLv+XY6XTmay29vDtvVlZWvu19fHzw9/enZs2a+VpK/f398fEp+z8klDQlrSIiIiIiFcSRg1kkxGfT5BYvAoPLdipgpl7E+fFrsGcbRr+hGANHYNiuXxLucDisZDQ5OZnz589b/01JScE0TWtbm81xG4r0AAAgAElEQVRmJaE1atTI11pauXJl3N3dr1uc5VHZvlJFRERERKRIzic52LEpneAQO41uLtvjWM3Tx3FOexnOnMJ46GlsnXqWTLmmSVJSEgcPHsyXmCYnJ5OSkpJvWy8vL/z9/QkJCaFJkyb5WksrVaqk1tISpKRVRERERKScy876/+NYW5fxcazmvh04P3wVDLA98zJG4+Z/rJz/JqgnT57k7NmznDlzhjNnzuTryuvp6UlAQAA33XQT/v7+BAQEWP+8vLxK6i3JNShpFREREREpx3LXY00jLW8cq1fZHcfq/H055tcfQHAItidfwqhWo8j7Zmdnc+LECevfqVOnyMzMBHInPwoKCqJJkybUrVsXLy8vAgIC8Pb2vl5vRYpBSauIiIiISDl2aH8WJ/67HmvVMjqO1XQ6Med+jbnoB2jWEtuo5zB8KhW6j8Ph4MSJExw7doxjx45x6tQpnE4nAIGBgTRs2JAaNWoQEhJCQEAAtv+Ohw0KCuLs2bPX/T1J0ZXNq1ZERERERK4pKdHBrq3pVL+p7K7HamZm4Jz+Lmz6D8ZtfTDu+TNGAcu+JCcnEx8fz+HDhzl27Bg5OTkYhkG1atVo3bo1NWvWJCQkBE8XzDAsf5ySVhERERGRcigr00ns2lS8vG1ldj1WMykR5/uvwNFDGMMewYgYkO99mKbJiRMniIuL4/DhwyQnJwMQEBBAixYtqF27NjVq1FCSWsYpaRURERERKWdM02RzTBqZGSadI3zx8Ch741jN+LjchDUjHduTEzFahAO5a6ImJCRw4MABDhw4QGpqKm5ubtSsWZOWLVtSp04dAgICXBy9lCQlrSIiIiIi5UzcnkxOn3Bwy63eBFQte1/5zdi1OKe/A34B2J5/A7NGLY7ExxMXF8eBAwfIyMjAbrdTp04dGjZsSN26ddWaWo6VvStYREREREQKdPZ0Nnu2Z3BTLXfqNvRwdTjFYpom5sLvMed+Aw2aknTPGPYcOsrexctITU3F3d2devXq0aBBA+rWrYu7u7urQ5ZSoKRVRERERKScSE9zErs2Dd9KNsLalq1xrGZ2NuZX00jf8Dv7b+3BnoAQTkfPwzAM6tatS9OmTalXrx72AiZhkvJLNS4iIiLy/9i77+g6rvvc+985HTjojWgEwd4J9t5J9d5cFDsur33t5PpeOzdx4uTmvb5rJevGzrtSbmw5thM5diwXSbZlS7KtQrGIDQQJkhBBsHeC6B3nHJwys98/IFGiCEpgQSOez1pcIM7s2fObMzhceLhn9ha5Ddi2Yd/OELZtWL4yBa935ARWp6ONs9/7R2qihrMz1uDEIccYVq1axdSpU0lOTh7qEmUIKbSKiIiIiNwGqvdHaG+1WbgimdQ091CX0y+RSISa8l0cOrCfzkAuSakeymbNZvr06eTk5Ax1eTJMKLSKiIiIiIxw505FOX86xqTpfgqKh/dzrMYYGhoaeOuttzhx7Bi2MRQmYixbsphJS1fido+MwC2DR6FVRERERGQEa2tJUL0/Qs4YD9NmBYa6nGuybZtjx45RVVVFU1MTXstievN5ZiV5yP3Cn2FlZg91iTJMKbSKiIiIiIxQ0R6HfTtD+JNcLFiWjOUafs+xRqNRDh06RFVVFaFQiOzMTNYQYUp1Of5l67D+4I+wNAuwfACFVhERERGREchxDJW7w8RihpUbgvj8rqEu6QpdXV0cOHCAw4cPE4/HGTt2LBvnz6XoV/+O1VSP9bHPYa29d0TNcCxDo9+h9Z0fura2Nh566CFaW1sxxpCdrWF8EREREZHBdqSqh5bGBHOXJJOeOXzGopqamti/fz/Hjx8HYMqUKcybN4/cS2dwnv578Ppw/Y+/wZoya4grlZGiXz/dNTU1/MM//AMTJkzg2LFjPPTQQ9TX1/Piiy/yta99baBrFBERERGR96g9F+P08Silk3yMLR0eEy81NjZSUVHB6dOn8Xq9lJWVMW/ePFKCQczLz+K89DMYNwnXH/8lVlbuUJcrI0i/QusPf/hDvvKVrzB79mw+85nPADBp0iROnTrVr4M0Nzfz1FNP0d7ejmVZbNy4kXvvvffGqxYRERERGaXaWxMc3BsmK8fNzLlJQ10OjY2N7NmzhzNnzuD3+1myZAllZWUEAgFMdyfOt/4Gqiuxlq3D+sQfY/n8Q12yjDD9Cq1NTU3Mnj37yh09Hmzb7tdB3G43n/zkJ5kwYQKRSISvfe1rzJkzh+Li4uuvWERERERklIqEHfbuCOH3WyxcEcTlHrrnQRsaGtizZw9nz57F7/ezdOlSysrK8Pt7Q6k5fQzne9+EzvbeyZbW3K3nV+WG9Cu0FhcXc/DgQebOnXv5tUOHDlFSUtKvg2RmZpKZmQlAUlISRUVFtLa2KrSKiIiIiPRTImHYuyNEPG5YuSEVf2BoJl5qbGykvLycs2fPEggEWLZsGXPmzHk3rBqD2fxbzPM/gIwsXF/7e6xxk4akVrk99Cu0fvKTn+Sb3/wm8+bNIxaL8f3vf5/Kykq++tWvXvcBGxsbOXPmDJMm6QdXRERERKQ/jDFUVYTpaLNZtDJIWoZ70Gtob2+nvLyc48ePEwgEWL58OXPmzMHne/eZWtPdifPMd6ByF5QtxvWZr2AFUwa9Vrm9WMYY05+Gra2tbN++naamJnJycli1atV1zxzc09PD17/+dR599FGWLFly1fZNmzaxadMmAL7xjW8Qi8Wuq/8b5fF4SCQSg3Is6ZuuwdDTNRhaev+Hnq7B0NM1GHq6BkPvWtfg4N5WDlS0smBZNnPmZw5qTV1dXWzdupXKykrcbjfLly9nxYoVBAKBK9pFK3fR+dTf4XR1kPLkfyH5oSexXMNrGZ7+0OdgcLz3Pzs+TL9D681KJBJ885vfpKysjPvvv79f+1y6dGmAq+qVk5NDc3PzoBxL+qZrMPR0DYaW3v+hp2sw9HQNhp6uwdDr6xpcuhCjcleY4nFe5i5JHrTnQqPRKJWVlRw8eBDHcZg1axaLFi0iGAxe0c70hDHP/QCz/TUoGofrs3+CVTJhUGocCPocDI7CwsJ+t+3X7cHf+ta3rvnh+NKXvvSh+xtj+O53v0tRUVG/A6uIiIiIyGjX3prgwJ4wmdlu5iwanMBq2zZvvfUWFRUVRKNRpk6dytKlS0lPT7+qrTlejfMf/xdamrDufgzrwSexvN4Br1FGl36F1vz8/Cu+f+d+9lWrVvXrIMeOHePNN9+kpKTk8nOwH//4x5k/f/51lisiIiIiMjr0RHpnCvb5LRatDOIe4JmCjTGcOXOGHTt20N7eTklJCStWrCA39+o1VU08hvn1TzCv/xpyxuD68/+DNWnGgNYno1e/QusTTzxx1Wvr16/n+eef79dBpk2bxnPPPXd9lYmIiIiIjFKXZwqOGVZsSBnwmYKbm5vZvn07Fy5cIDMzkwcffJDS0tI+25ozJ3B++H/h0vneZWwe/wxWYOjXi5XbV79Ca19KS0s5cuTIraxFRERERGTUM47hQHmY9labhSuSSc+84V/ZP1Q4HKa8vJzDhw/j9/tZs2YNs2bNwu2+enZiE41iXvwp5vXfQHomri9/HWvWggGrTeQd/foEVFdXX/F9NBpl586dWmdVREREROQWO3wwQn1tnJnzkigo7v8Mq9fDtm2qqqqoqKggkUhQVlbG4sWLr5oR+B3meDXOj74FjXVYq+/CeuzTWMnBPtuK3Gr9Cq3/+q//esX3gUCAcePG8eUvf3lAihIRERERGY0OV7Vz5kSM8ZN9TJjiH5Bj1NbWsmXLFlpbWyktLWXVqlVkZva9jI7pCWN++SPM1t9Dbj6uP/1brGlzBqQukWvpV2h96qmnBroOEREREZFRre5ijH0728kv8jJz7q1/RjQcDrNz506OHDlCamoq999/PxMmXHtpGlNdifPjp6CtBWvjQ1gP/wGWv++RWJGBdM3Q6jhOvzpwjcAFg0VEREREhpO2lgT7y8PkjvEzb2kAy3XrZgp2HIfq6mp2795NPB5n4cKFLFq0CO81lqYxoS7Ms09jdm+GgrG4/uKbWBOn3bJ6RK7XNUPrxz/+8X518Oyzz96yYkRERERERpuuTps9b4YIBFxsuLeAULj9lvXd0NDAli1baGxspLi4mLVr15KVlXXN9mb/bpyf/Ct0d2Ld+xGs+z+qdVdlyF0ztH77298ezDpEREREREadSNhhz7ZuLAuWrAmSlOwhFL75fmOxGOXl5VRVVZGUlMRdd93FlClTsKy+R3BNZxvmp9/HVO6Ekgm4vvy/sUqufeuwyGC6ZmjtaxFhERERERG5NWJRh/Jt3cRjhmXrUkhJvXqZmRtx9uxZtmzZQldXF7Nnz2b58uX4/X1P6mSMwZRvxTz77xCNYD3ySaw7H8HyDNwyOyLXq98/jfv27aOmpobOzs4rXv/Sl750y4sSEREREbmdJRKGiu0hwt0OS1YHyci6+ZAYDofZvn07x44dIzMzk8cff5zCwsJrtjfNDTjPfAcOH4CJ03B96r9hFYy96TpEbrV+fTqef/55Xn/9dZYvX055eTkbN25k586dLFu2bKDrExERERG5rTiOoXJXiLZWm4XLk8kZc3PPjBpjOHr0KNu3bycWi7F48WIWLlyI5xqjpcaxMZtfxrzwDFgurCe/gLXmHixNsCrDVL9C65YtW/jrv/5rSkpK2Lp1K5/+9KdZuXIlv/zlLwe6PhERERGR24YxhoMVYRrrEsxZmERBse+m+uvo6GDz5s1cuHCB/Px8NmzYQHZ29rWPf/Eszn9+G84ch9kLcf3BH2Fl67FAGd76FVpDoRAlJSW9O3g8JBIJJk2aRE1NzYAWJyIiIiJyuzDGcPhgD7Xn4kydHWDcxL6fM+0Px3E4ePAg5eXlWJbF2rVrmT179rUnWorHMb97DvP7X0BSEOtzf4q1ePU124sMJ/0Krfn5+Vy4cIGxY8cyduxYXnvtNVJSUkhJSRno+kREREREbgsnj0Y5czzK+Mk+Jk+/8cDa2NjI5s2baWxsZPz48axdu5bU1NRrtjcna3B+9G2ov4i1dC3WRz6HlZp2w8cXGWwfGFodx8HlcvHRj36Urq4uAJ588kn+5V/+hZ6eHj73uc8NSpEiIiIiIiPZmRNRjr7VQ1GJl5nzkm5ohDMej1NRUcH+/ftJSkrinnvuYdKkSdceXY2EMb/6T8zW30FWLq4vfx1r1oKbPRWRQfeBofWLX/wiq1evZvXq1ZdvD548eTLf+ta3BqU4EREREZGR7typKNX7I4wp8jB3SfINBdYLFy6wefNmOjo6mDFjBitXriQQCFyzvXlrL84z/wrtLVgbHsB6+BNYgaSbOQ2RIfOBofXzn/8827dv5y//8i8pLi5mzZo1rFy5krQ03U4gIiIiIvJhLpyJ8da+CHkFHhYsC+JyXV9g7enpYceOHdTU1JCens4jjzzC2LHXXpbGdLZjfv5vmL3bobAE1xf+HGvitJs9DZEh9YGhddGiRSxatIhQKMSuXbt48803eeaZZygrK2PNmjUfOJW2iIiIiMhoVns+xsG9YXLGeFi4PIjb3f/AaozhxIkTbNu2jZ6eHhYuXMjixYuvvYyNMZjdWzDPPQ09EawHn8S65zEsz80tpyMyHPQrcQaDQe644w7uuOMOGhoa2L59Oz/60Y/4t3/7N55++umBrlFEREREZES5dCHGgfIwWTluFq0M4vb0P7B2dXWxZcsWzp49S15eHg8//DC5uddelsZcOo/zk+/C8WqYOA3XH34Jq7DkVpyGyLBwXcOkiUSCU6dOceLECTo6Opg6depA1SUiIiIiMiLV18bZvztMRpabJatS8PQzsDqOQ3l5Oa+//jrGGFatWkVZWRkul6vP9iYaxfz255jXfg3+JKxP/leslXdgXaO9yEjVr9B69OhRtm3bRnl5OWlpaaxatYrPfe5zH/g/PiIiIiIio01jXZzKXSHSM90sWZ2Cx9u/wNrS0sKmTZtoaGigpKSE9evXf+A8MqaqAudn34eWRqzlG7Ae/zRWavqtOg2RYeUDQ+tzzz3H9u3b6e7uZunSpfzFX/wF06bpQW4RERERkfdrqo+zd2eIlDQ3S9YE8fo+PLAmEgn27t1LZWUlPp+Pxx57jMLCwmsvY9PShPPz78PBPb0TLX3177CmzLzVpyIyrHxgaD158iQf+9jHWLRoET6fb7BqEhEREREZURouxdm3M0RKqoula4P4fB9+i25tbS2bN2+mra2NadOmsWrVKsaOHUtzc/NVbU0sinntBczvfwmA9dinsDY+hKVJUWUU+MCf8r/6q78arDpEREREREakuosxKneHSUt3s3RNEJ//gwNrNBpl586dVFdXk5aWxkMPPcS4ceP6bGuMgf27cJ7/D2hphAXLcT3xWazsvIE4FZFhSf81IyIiIiJygy6ei3Fwz9uTLq1O+dBbgk+ePMm2bdsIh8PMmzePpUuX4vX2vSyNuXgG5+f/DscOQdE4XH/6t1jT5gzEaYgMawqtIiIiIiI34PzpKFV7I2Tnulm86oMnXeru7mbbtm2cOnWKnJwc7r//fsaMGdNnW9PdifnNTzDbXoXkINYffBFr1V1YbvdAnYrIsKbQKiIiIiJync6ejHKoMkJuvoeFK4LXXNbGGEN1dTU7d+7Etm2WL1/OvHnzcPcRQE0sSuiFn+D84kfQE8Zady/Wgx/HCqYO9OmIDGsKrSIiIiIi1+HUsR5qDvYwptDDguVB3O6+A2trayubN2/m0qVLFBcXs379ejIyMq5qZxIJzI7XMb99lu72Vpg1H9fjn8Eq6vs5V5HRRqFVRERERKQfjDGcqIlyrLqHgmIv85cm4+ojsNq2TWVlJRUVFXi9XjZu3Mj06dOvWsbGODamYjvmxZ9CUz1Mmk7mn/0NnWPGDtYpiYwICq0iIiIiIh/CGMPhAxHOnIhRNM7L3MXJuFxXB9a6ujreeOMNWltbmTx5MmvWrCE5OfmqvqiqwPn1M1B7DorH4/rv/wtmLcCXmwt9LHkjMpoptIqIiIiIfADHNhysCFN7Ps6EKX5mzA1cNWoai8XYvXs3VVVVpKSk8MADDzB+/Pgr2hhj4NA+nJefhTPHIa8A6/N/hrVwJZbrw9d1FRmtFFpFRERERK4hETfs2xWiqT7B9DkBJk7zXxVYz5w5w5YtW+ju7qasrIxly5bh8/kub788svrys3DuJGTnYf3hl7CWrcfy6NdxkQ+jT4mIiIiISB+iUYeKN0O0t9mULUqiZIL/iu3hcJht27Zx4sQJsrKyeOKJJygoKLi83RgDB/fgvPxzOH8acvOxPvXfsJauG9CwajuGSNwhFLcJxRxitsF2DAnT+9V2wO0Cr9vC63Lhc1t43RZBn5sUnwufW6O+MrwotIqIiIiIvE+o22bPthCRsMPC5ckUFF85clpTU8OOHTuIx+MsXbqUBQsWXF7GxjgOHCzHeelZuHimN6x++stYS9bccFhNOIbmUJyGUJyWcILWSIK29/wJxd4NqZGEc1Pn7nNbpLwdYFN8blL8bjICbrKSPGQleXu/JnvITPKQ7nfj7uPZXpFbSaFVREREROQ92poTVOwIYQwsW5tCVu67vzK3tbWxefNmamtrKSwsZP369WRlZQFvh9X9u3pvA649B2OKsD77J1iLV2P1sS5rXzoicaobwpxrj3KuPUpdd4yG7jhNoTiOubJtstdFZpKHzICbgjQvQW+AZJ+LFK+bZJ+LZK+LoNeN32Phdll4rN6vbhfYDsQdh7htiNuGqG0IxXpDb1fMpjtmE4rZdMUcGrvjHG+O0NFj874ScFmQleQhL+glL8VLXtDLmPd8zU724lGolZuk0CoiIiIi8ra6izH2l4cJBFwsWRMkJbU3bL5/GZv169czc+ZMLMvqXbqmchfm5Wfh0nnIL8L6f/4H1uJVWK5rh9XOngTHW3o40RLhREsPp9uitEUSl7cHfS6K03xMzU5i9bg08lN7w2Bu0EtmkoeAZ3Bv4004hvaeBK3h3tHd1kiClnCClkichu44hxvCvBlJXBGuXRbkJL8bascEfZfDbV7QS3ayRyO18qEUWkVEREREgNPHoxw+ECEjy83iVUH8gd5QeOnSJTZv3nx5GZvVq1cTDAYxjo1TsQPz2+eg7gIUjMX63J9iLVp5VVg1xlDXFae6MczhhjBHmyPUd8eB3mA3Nt3PvIJkZhRlke1JMC7DT1aS56pJn4aSx2WRk+wlJ9l7zTbv3Mbc+Pafhu44jd29f6+qD9Ma7rxitNZtQU7w3RD7zihtXkrv37OSPLiG0XsgQ0OhVURERERGNWMMNQd7OH08Sn6Rl3lLk/F4LKLRKDt37qS6uprU1FQefPBBSktLMY6D2bcD5zc/hfqLUFiC9V++irVg+eWwaozhQmeMww3h3qDaGLk8ipoecDMjN5m7JmcwJTuJiVkBkry9ATknJ4fmEbxOq8dlkZ/qIz/V1+f2uO3QHE70htl3Qu3bX/fXha4YaX6nv3fCbH5Kb5jNT/EyJsXHmBQvKb7+3XYtI5tCq4iIiIiMWnbCcGBPmLqLccZP9jFzbhJYcOLECbZt20YkEmHevHksWbIEr9eLqd6P88KP4fwpKBiL64t/AfOWYblcdEdtDtR1sr+umwOXQrT12EDvM5+z85KZOSaJWXnJFKX5htUI6mDyul0UpPoouEaojdkOTaEEDW8/y9sYilPf3RtqT7RE6I5dOclU0OdiTPDdEJv/9gjtmBQfeUEPXs2EfFtQaBURERGRUakn4rB3R4j2VpuZcwNMmBqgq6uLrVu3cubMGXJzc3nwwQfJy8vDnDqK86v/hOPVveusfuYrmCWrOd2RoLKmlf2XQhxrjuAYSPG5mFcQpCw/yKwxyeSneEdtSL1ePreLojQfRWl9h9rumE3j2yG2/u1g29Ad53xHlL213STe80CtBWQmechJ9pD79rPA7/17brKHVL9b12YEUGgVERERkVGnoy1BxfYQ8Zhh4YpkxhR6OHjwILt378YYw8qVK5k7dy7WpfPY3/5bqKqAtAzsj/0XDk9ZRXldhD2/PnN5NHVSVoDHZ2azoDCFydkBTS40QFJ8blKy3EzICly1zTGGtkji8shsQ3eMplCCpnCcM209VFzsJv6+KZh9buvKMJvsZfwYm4DpITfZS07Qo3VrhwGFVhEREREZVS5diHFwTxiv32LFhhRiiTaee+4NGhsbGTduHOvWrSM1Gsb84J9wKt4kmpTGW/f9MeU5M6moixB6s46Ax2JBYQqLilKYVxgkI6Bfq4eay7LITu5dZmdm3tXbjTF0Ru3LQbY51LuUUFM4QXMoTuWlt5+pPXTlM8XpAfflAJub/PaI7dt/zwl6yQi4NVnUANOnS0RERERGBWMMJ2qiHKvuITPbzdwlPg5WlXPgwAECgQB33303k3Ky4KWfEN3xBpU509mx7s/Zb+XQEzIE4xEWF6WwrCSVuflB/IO85IzcHMuySA94SA94mJR99Ugt9E4U5QTSOH6xgaZQguZwnOZQgqZQnNrOGAfrwvQkrnyu1m1BdrLn8szKOUHPld8ne0hTsL0pCq0iIiIicttLJAxVFWEuXYhTXOolLaeR53+xla6uLmbMmMGKsln43niZo/ur2ZZbxo6VX6cbL+k+N2uKU1lWksrsMcl4dNvvbc3rdpGTHsAfD/a53RhDKObQHO6dJKo53LtWbXMoTnM4zvGWCLsuJK54thbeWS6o9/na7LeDbM7b69Tmvv29nq+9NoVWEREREbmtRcK9Ey51tNmMn2Jzvm4X2/ecJDMzk0fvvQfPgX385t9/wdacMurKVuJzwZKxqawbn87cgqCeT5XLLMsixe8mxe+mNLPv0VpjDB1Rm+ZQgpZwb7BtfudrKM6RpgitkTjvG7DF57beM0L7brh955nb7GQvKT7XqAy2Cq0iIiIicttqbU6wb2eIeNwmo+Ac28vLcRyHRfPnE6vv4LuvneBQ+jwogZkZbh6flsuysakEtf6n3CDLssgIeMj4gNuQHWPo6LEv337c/N5wG0pQ3RCmJZLgfQO2+N3W5RHad8JtzntGbnOSPSR7b79gq9AqIiIiIrcdYwznTsWoPhABdxud0T2cOtjImPxCIk4a3z0RoN2XQ25qmCdLvawtG8uYlL6XWRG51VyWRWaSh8wkD5Oz+25jO4b2nsQVYfa9I7dVdSHaeq4OtgGPi5xkD3dPzuCBaVkDfzKDQKFVRERERG4rtm04VBnh3KkQUQ7RUH8Yj89PT8YkfhYtxbJgPvXcPTOd+XPm6fZfGZbcrndnQ55KUp9tbMfQGukNsS3vCbfN4QRJ3ttnojCFVhERERG5bYRDDvt2hqirP0tHZC890W66k/KpDEwnYMd4NFbD3StnkTdj/VCXKnLT3K7edWZzg96hLmVAKbSKiIiIyG2huSFO+fYmGlorCPWcp8cdpDptEUkJm8907mPD+kUkTX98qMsUkeuk0CoiIiIiI5oxhlPHethTXkVr1wEcY3MqeTLemIsvtO1jyZ0rcc/49G03OY3IaKHQKiIiIiIjVrTHYde2Wo6f3kE03kSbN5tWVx4f7TjMsg0rsMq+pLAqMsIptIqIiIjIiFR7PsLmN8pp6zqMY3k475/And1n2bhmPO75/x3LdftMRCMymim0ioiIiMiIkogbtmw+ycmTO4nbnbR785kWaeMLC1MJLPkjLJfWWBW5nSi0ioiIiMiIceFiF6+/8ibd4VM4rmRS7BQ+MzeblBWPYbkVVkVuRwqtIiIiIjLsJWyH37ywj/r6KmynB9w5PD45m6L167E8t/dyHyKjnUKriIiIiAxrR946w5u7q4hGz2O5UplfNJ4VD96J5fUNdWkiMggUWkVERERkWIp1d/PsL3fT0XUGx4mSmTKWj370DnzBlKEuTUQGkUKriIiIiAwrxrGp/P0OKi60kIhdxONJZ8PqtUyfM2WoSxORIaDQKiIiIqDqomUAACAASURBVCLDRnd1Nc/vukAoeh7HxBkzZjqPPbYOj0e/toqMVvr0i4iIiMiQM031bHmxguPxBLHYRTzeTO65+w4mjs8f6tJEZIgptIqIiIjIkDGRMJdefoVX27MI91zCMQlKJs7nwXuW43K5hro8ERkGFFpFREREZNCZeJz4lld45YSXBjdEYm/hDWTz+MN3kp+XO9TlicgwotAqIiIiIoPGODZO+ZtU7zzBgaypdDmHMY5h+tylbFi5UKOrInIVhVYRERERuWnGcQCD5XL3vd0YqN5P28u/5/Wc9bQFk4iFqkjOLOLxBzaQkZExuAWLyIih0CoiIiIiN8y0t2K2v4Z581UIJOH67/8LK/fKyZPMuVPEfvFjdrnmciZnId2RfeBOYuX6O5k3cyqWZQ1R9SIyEii0ioiIiMh1MbEopqoCs3sLHN6PYyzOzX0C09rIhL/7Kq7/+j9h3ETobMf87nnOHm1j98R7aQ9VYUcijCmdziN3r8Hn8w31qYjICKDQKiIiIiIfyhgDJ49gdr2BqdwJkTCJ7CKOrv8TqiIeurqPYmWmMz7nk2z45l/hNgkSbj9vzvwsZ4vziXSV40rO5OF7H6CkUMvYiEj/KbSKiIiIyDUZx8ZU7sa89gKcPYHxJ9G+6EH2pc2lruUiocYaHBOHpBxMtIuT8ZO0Lf8LPC4v0USYjlA1dizBlLIl3LVqkSZaEpHrptAqIiIiIn0yzQ04P/gnOFFDpGg6e+/635zv7iYSOk+s4w0MLryZxaxZNp/Zk0poauvgZ8+/SHPnnst9WMlZPPHg3RTm5QzhmYjISKbQKiIiIiJXcfZux/z4Kbp92Wxe9//S3HmeyKUdvRv9WeRNXMjdy8vISA1e3ic3M50vfuZj7Ks5SWZqMsW5WaSkpGiiJRG5KYMSWr/zne+wf/9+0tPT+Yd/+IfBOKSIiIiI3CDnzVdwfvwdquY+SaXbS0/zbozLT/q42dy1Yi4FOZnX3Nfn9bK8bPogVisit7tBCa1r167l7rvv5qmnnhqMw4mIiIjIDXK2/JbEz57mxaV/Qn34OI6dIHvSAh7buJiAzzvU5YnIKDQooXXGjBk0NjYOxqFERERE5AZFtr9G4uc/4BdL/ivNoUPgy+TOe+9gWolm+xWRoTOsnmndtGkTmzZtAuAb3/gGOTmD88C+x+MZtGNJ33QNhp6uwdDS+z/0dA2Gnq7B0IqfOUHzU/8fv1j0RzSHDmMl5/PVL3+WlKTAUJc2quhzMPR0DYafYRVaN27cyMaNGy9/39zcPCjHzcnJGbRjSd90DYaersHQ0vs/9HQNhp6uwdAxoS7s//PnvDDrEzSHa7CChXzuEw/SE+qmJ9Q91OWNKvocDD1dg8FRWFjY77bDKrSKiIiIyOAyxuD88F/YnrWMhthZ8Ofw+U8+TMCnXxNFZHjQ6s4iIiIio1nlTk5djFCTZDAuH48/dp8Cq4gMK4MSWv/5n/+Zv/7rv+bSpUt88YtfZPPmzYNxWBERERH5ACbURc/P/4Ot4+ZiOxHW3/8IhTnpQ12WiMgVBuW/0b7yla8MxmFERERE5DqY53/Ay+Puoyd2kYzS+axdOE3P8onIsKPbg0VERERGIVO9n9NH62mgCcubxcfvXTbUJYmI9EmhVURERGSUMeFuEv/5HbaMX4JjYqzYsBavxz3UZYmI9EmhVURERGSUMc8+ze8L7yASPU/ymOnMn1I81CWJiFyTQquIiIjICGMiYZxNv8G0t1z/vlV7OVdzkQueTixPGn/wyJoBqFBE5NbRfOYiIiIiI4g5tA/nme9AazOEw1gPfrz/+4a6iD/zXTZNfAA7doEl6+8iyecdwGpFRG6eQquIiIjICOG88kvML3/Eqckb2D2+lAXNEWZdx/7m5//G78beRSR2nqT8WSyZUTJQpYqI3DK6PVhERERkBDCHD9Dz4i/41eIv8GqSj47YOfbG/f3f/0A5Z040cdFqB28Gn3x41QBWKyJy6yi0ioiIiAxzpqWRxL//I8/O+Qh1kVPYviwsK0DMSfRv/1iU+E+fZnPpIhwTY9n6dQR0W7CIjBAKrSIiIiLDmHFsnO/9PS9NeICu2AWsjCl84bOP4/KkYJsYxrY/vI8dr/PS2DuJxC6SXDiLRVPHDkLlIiK3hkKriIiIyDBmtr9OhV1IrWkE/xg+89ENJHnduD1JGCcCHzKDsEnEad6ynTqrFcubxScfWjlIlYuI3BoKrSIiIiLDlOnupOO3L7I/Mx1cSdz70F2k+Htv6/X6krCdCJH6hg/uY/cWXhuzBMdEmbV0GX6v5uEUkZFFoVVERERkmDIvPMOL49ZjOyFK561kUn7G5W3B1FTAcPZ887X3t23aN71BBy24/HmsnTthEKoWEbm1FFpFREREhiFz7iQ1xxrpsOtxBcdx//IpV2zPzM0CoLat59qdHNzDqzkLsZ0IU+bOw7KsgSxZRGRAKLSKiIiIDDPGcYj/9PvsLJqGZbnZeNeqqwJnYVE2AG2R+DX76arYQ6vVieXNZuOiyQNas4jIQFFoFRERERlmzO7NbPJOIxpvJLlgFtOKs65qM6EwA7AIJfqePdhEwrweHdN7a/HMMlwu/donIiOT/vUSERERGQAmFsXs34Xz9D9hKnf2f79wNx0v/pozAQfLk85H71/aZ7tgwIfLlXTNtVpN1R6a/R4sVxL3rJhxQ+cgIjIcaPo4ERERkVvM2b0F87PvYSJhmtJLSekMk7pgRb/2Nb9+hpdK1mLbl5g0/y5SAt5rtrXcSTgmhnFsLJf7im11lYeJ2hDImozHrXEKERm5FFpFREREbhGTiGOee5rOHdt5Zc7HaDc9xOKNJHmL+Hx/9n9rLzWHa2kfk8AVHMc9y6Z8YHu3Owk71gbtrZCV+24/oW522jlAIzNmT725kxIRGWL6bzcRERGRW8DE4zjf+luOHzrLz2bdTWPsPHHTg8uVTNwJY2LRD96/rYXYD7/DjuIZWJaLO/qYfOn9vP5kbCdMtK7+yr4O7KbVC5Y7yLLZJTd9biIiQ0mhVUREROQmGcfGPP2PbOnJZ1NhKQm7m4IZa/njL34KX9IYbKcbp6HuA/Z3cJ7+R56feB+xeBNpJfOZ2sfkS++XnJICGM5caL3i9fMHjhGLNxHIHIdbEzCJyAinf8VEREREboJxHMxPv8ebLUkcCTrgTmLF3Y/wxMY5uF0WScFUjIlTe/rStfvYt4Od0TG02nW4ksfyB/cv7texL6/V2hp6t69olN3kAoY5Zbo1WERGPoVWERERkRtkeiI43/sm+052cijNi+VO5v5HH2b+5PzLbd4JlqfqO/ruw7FpefUVDqUnY7mDPProHf2eOKmwsHet1tbIe2YQPl5Nh9vB5U5l0fSiGzwzEZHhQ6FVRERE5AaYlkacb/w5u1uSqMjOAsvLuvseoDQ//Yp2paW9AbapO953P5W7+H3mXGwnzNRFqynMSul3DROLMwEIJ5zLrzUdOkIs0YI/vUhrs4rIbUH/komIiIhcJ2MM9n/8C7/KXsn+NA/G5WbJxnuZWZpzVdvJJVmAi6741eupGseh+ZVX6DStuAOF3LFo4nXV8d61Wo1tA7CnxQU4jJs47kZOTURk2NGSNyIiIiLXq7qSZ/2zaTENWP58HnzkbsblpfXZ1O/14HIHiZurR1pN5S5eyZyL49RRtmjhh84W3BfLHcQ2McyerTB1Dg1uHyTcrJg3/rr7EhEZjhRaRURERK6DsW3Ov/x7WlOycQcK+cynHiLZ7/3AfdzuILYdwYRDWMnBy6837dxFhzsNd6CINfNKb6gely8FO1xH9+/3EoxGiZpO3P48ggHfDfUnIjLc6PZgERERketgdr3B6+nTMcZm2ZoVHxpYATy+II7djV138d1+ujp41V2KMTHmLFl4w/UUTZmEY6L8Lncph7cfwLa7ScvTBEwicvtQaBURERHpJ9MTpmp7FeFEHb70ScyfWtCv/YKpqRhsTp+uv/yavW8X3a4wbl8eq8pu/PnTe5dPw/Jm0+Lq4lBW7xI3s2fr1mARuX0otIqIiIi8h4lGMSePYHrCV21zXnyWiowSLMvNPfcs73efOfl5AJxtfHc91YOHa0nYnaTnl95UvR63iwlz5mM7YVpNIy5XkDkTxtxUnyIiw4meaRUREREBzIkanNdegJoDmFgcy+2GyTOwVt2JtWgVXLrA62djRANdpOSXMS4v/cM7fdv40jyOHoDmcO9kTKaznUOkAxFWLJl+07XfvWwq3zl0ABNrxptWqqVuROS2otAqIiIio545UkXb97/NzvEbaCibSSzejteTTm48zoqf/JisPdvojiQ4FRyHCx8feXDZdfU/vjAdCzdhu3fZG3vfLsJWN25fLuML+h9+r8XtcjF57gKOV7xK0YTSm+5PRGQ4UWgVERGRUc0cq6b2h//BS5NXE080QtSH5c8mEW3kvIlSO3kxE6JeGpOD2HYdE+fdScp1zszrcbtxeVKIO3GcvTvY/9Z5bFeM7OKbH2V9x91Lp1IyNpfphZm3rE8RkeFAoVVERERGLdPSyKUf/ICXxi0gnuggb9oq7l8zixS/l1A0wdYDpzi9v5wT3g5wuvAkj+XelVNv6FgudwpOohPz/b+nuuwT4DSwatmtC60AM4qybml/IiLDgUKriIiIDClj23DpPJHqfTjnTmMtXYeVnTsox+569se8OG4+8UQ748rW8tCaWZe3Bf0e7ls6lc6yUn76wnbi7bVsvGs1lmXd0LG8KemEWy7x9MJPEYs14/bnUXIdz8WKiIxWCq0iIiIy6Ey0B/PWXji4h+5jJziaNp3atHzCngCLK55i0scfxZo2Z2BrqN7Pr8044vYlCmesuSKwvldakp8vPrkRY8wNB1aASdMmcKiinqgdwriTGD999g33JSIymii0ioiIyGXGGEjEIZGAngjUnsNcPAPJKVhli7HSb+55SXPuFOb1X1N/oo7dRUto808hWpqB7YSBRnDgtdyx1L6wk9Vzj2Pd9QiWy31rTu69dcTjHHl5Ex3JQdzJxTy24cMD8s0EVoC1CyawdsGEm+pDRGQ0UmgVEREZ5UwsCjUHSBw6wKmLYS64M7BdbmJuL+3+ZKIucBGmsOJFlpgLZEwswZoyE6bMwvL5+3eM+ovYv/4Z2zoyOZ0+iWhxEMfUQcyDJzmfMYWzmTF9PO3tnRzcsZVDQYf6k24ePvg/8f/hH2MVldzSc3beeJnt6aWYeNNN3fIrIiIDT6FVRERkFDKxKFTvp6vyIAfavZxNySFsUogH40Do3YaJFnAHwYlywpfgpJWNvyGJYN15Zv76TWYVeXAvXA4Tp2ElB68+TmsTzkvPsvOSm6OZE+lJugjxWnxpxUyZOYVVcyfh9fT+OpKTk0NzczOTinP55S9/R2P0Aj/KXMjK7/4H0/K9uFZuhFkLetdPvclzf62mg6ink5SCMqaOzbmp/kREZGAptIqIiNwmjDHQ2gR1FzENtSTqG+hsCeP1WqTOnIxVMhFz9iThoyfZE0rlbHI6kYQLxx+G+AXwZZNUWEZR8Rh8Xg8Bv4dJxbmMSU+mIxJj677j1J45R093Az12iDfT3OzpySXtzfOMf3EXM0wDwZJ8rAlTIZHArtpHZXcGh7LHEglegHg9qQWzeOSeJWSkXB1w31GQk84XP/cRfv7yblrPHWRL3hjKPUVM+m0ly48dwfuRT93U+xTf+hpnAx5cJshHH7i+9VZFRGTwKbSKiIiMUMYY6GiD2nNE36riUG2cM/4swh4PMeLYjpc4LlwJD4GaMEmHDhNxO0QTfmxvJyTCWMlF5JWUsHzeREpy0q55rIxkPw+vng2rZ2OM4cj5JnbvPUyo4QxNdiNNqbDPKsEXzsb/VgQsix7fZKKpTRCrJTlvGg/dvZTcjNR+nZvH7eYTD63k6NlJbN68m1D3WapSDGdbM7iZyGricd443Erc3UHO+KUEr3O9VRERGXwKrSIiIiOMaWmi63cvcaDBosmfSpfHS8SBhC8CphbiLnCngC8VT7AAO9pDuLuOsImCCUBSHrljx3LHshnkpCZd9/Ety2LGuDxmjMvDdtZQc76BmqMXaamvoyfUTI/d3dvOm0FKwUzuWT+fguyMGzrXaaX5TPvsIzS1d/LcT39DyG7HtLVgZWZ/6L6mqxNcFlbw3aDs7NrMWb8Xl5PMw3fOvaGaRERkcCm0ioiIjBDm4hk6N73Bq11ZNLssEr4uMF29IdWfQ8rYKcyZOZ7JhTmkJ3mv2LcnbnO6oYNJ+en4PLduNl63y8Xs0gJmlxZcfq2+rRNjDAVZt24N0tyMNILp+XS2HOFcZQ2lG1d9YHvTVE/s7/8nWOD7s7/ByivENNaxubKWuKebzJKFJPs1yioiMhIotIqIiAxjxhhM9QFOb9nLbk8+nY6FbS6ClUHu9BVMnlDApMJcMt4XUt8v4HUzozhrUGrOz7z2bcY3Y8KU8RzcfYQD59sp/YB2pquDpqf+mV9NuAvLsnj4X/6RvEcepfPZH3OydBWWk+CRuxYMSI0iInLrKbSKiIgMQ8YYTE0Vx96oYLdvDCESmMQ58OdSMn0x96+YicftGuoyB9XisnFU7XbTHItfs42JRen61t/zqzHzicXrAXihaBHrfvEyW8avJR5vIHfiUlKS+rdUj4iIDD2FVhERkWHEGIM5tJ+jW/dT7ssjRBwTO487rZQly+ezcErRUJc4ZAI+L25fNnG7C9PajJV19VI1sU2/5edZC4nFLpA7YTEej5u647t5raAYE28kf8oyPnL3oiGoXkREbpRCq4iIyC1kQt1w7BDhIycwtkNw5mSYPveKNUyNbcOF0zhnTtBzsQFfWjKeaTMw4TDV2w6xN5BLmGhvWE0dx9r1S5k5Lm8Iz2r4CKbm0NFSw7n9NZRuXH3FNhMO8dLJGD00kpo/k4/fvxSA54yh4VQVU+ev467l04eibBERuQkKrSIiIjfB9IRJ7NlB05ELnIwGqPOk0OWBWDyBwcG/r5mM3a8xzW5l4hgvoe4old0p1AdSiNJDPJHA3RXHV3cGg0PI1QOxC7jTS1m7bjEzSxRW32v81PEc3FXT53OtoVdeosEdwWWl8YlH11x+/SP3LAYWD2aZIiJyCym0ioiIXCfT3YlT8xath0+xPZRGs8emJxYBKwR2CzheXMl5WJaLcOgSYRPnkgXbW9KwHQfH1QSxJvCk4QrmEYuGiMXOA+DJmMDG9YuZUnz1ra8Ci+eUULXLTXMsccXrpquDF2vd2KaLiWXr8Xr0K46IyO1C/6KLiIj0g3FsTPUBTu2qYZ+dSbfHJhrrwTEdkAjgz5lMbkEuE0rymDmuAO/by8rE4gn2HTvPiZMX6WpuxOXJpHh8KSvnTSYnLfly/52RKNG4Te57XpOrXfFca3Ul1qzeWYDbfvNL2iwHlyeLe1bNGOIqRUTkVlJoFRGRUc0k4nD2BF17muk8U0tw7izc02b3bjMGTh2ls2I/5c1eLvj8RGJdGNrBBHCn5jNpykTuWDz9ckh9P5/Xw/JZE1g+a8IH1pGW5IekW356t6WU7ELa6w7y5qv7WT11Dpw6wsvt6dhOLbMWrcblGl2zKouI3O4UWkVEZFQyrU10bd7G1noXTV4vCSdEwu4msPUM63YfYuykPPYeaOSoL5VIIoJNC8TceDPGsWDRbBZOHatwNETuu3M+P/3PI9QkBVn6m2c5dKqVjiQ3nkAB65dMGeryRETkFlNoFRGRUcW0t1L/8mts6k6ly+4i4XRBzIPlS8fyZREKneN3CT/eag9RmiHWipWcT+H4eWxYPJ3MVN2+O9Sy01MYM3E+9Sd386tLhbSnZoPdyX0Pbhzq0kREZAAotIqIyKhgjKFz0+u8fDJOu92N7TSCL4uxM1Zxz4pZFBcW0NzczL6jF9i1dRvRRDvJhbO5Z918irLTh7p8eZ/H717Ad753lKZ4HSQMY6evZFx+5lCXJSIiA0ChVUREbnumJ0LNM79hRxyi8d6wWrZkDWvmTb6q7cJpY1k47RNDUKVcD5fLxcIVq6jY+iKeYDEPb5w31CWJiMgAUWgVEZHbmukJ8+oPXuGU04XtxCictpxHN87X86i3gaVzSklLeYKJxTlYljXU5YiIyABRaBURkRHLJBIQ7sJK6/u2UJNIsPlHr3DCrgdXgDX3PkLZpMJBrlIG0owJBUNdgoiIDDCFVhERGXGMMST2V/BGeR0tbh9PPL4IX07uVW0q//NFjsSawfLxyEcepTg3Y4gqFhERkRul0CoiIiOGMQb7rQOU7zrNEctNxL4ANmzf5GPDx66cOfb8a1upiHRgcFh334MKrCIiIiOUQquIyDAVq63l/JGLlMyfgi9Ls6ImTp3gzVcPcdrtJhyvA1wkF8wkXHeU0+1drDfm8nONdlMTr51pJ2F3M2/Vvcwanz+0xYuIiMgNU2gVEemHRGcnh8uPcbaxi/aeGI4xWFi4LIuMgI9xuSlMnVGAv7johieEcWJRGg8cpeJYM009PcQSrcQTbQRO1rJ8QjEz71g0YiabsS+e4+yuGipbDUG34b7P33fDfRnHoel3r/NybYLuxEWwPSTlTeHeO5ZQlJ3Bv/5bOz099bQeOkr2nOkYY3j5hXIisQsEc6ayat7EW3hmIiIiMtgUWkVErsGJx9n1+30cq297O0C29tmuPQxnW2HnyVQ8nky8Ln/vBgNul4tkt4dx2UksuGMurqTky/sZx6br6CkqD9VxsStKJNFNLN6IY2KAhdubSVLaOCKdF9h6rImT9Z08/Icb+6xhODCOQ2T/ATbvr6fOidETu4TBxmX5iTQ1k5Sbc9192udOsfN3VRw2YeKJVnxZE3niwbVkpwUvt5kyczqH99Wyed9ZnpgznQsvvcbFWAOWO5UnH1t3K09RREREhoBCq4jI+8S6utny+/2cbW0mGqsFDG5vJtl50yidNJZpEwtJTw1i2zad3WGOnKrj4tlaOtpbiUYb6DHRK/prBy51Wez/UR1Z/nQMhkjCJupEicebsJ0wAJYrgD84htIpE1ixYCrBpAAAR07W8sYrr1DbVTvI70T/Jeov8fKLB6lPtBFLtIDlxZ9ZisflItRygl1vHmbDY2s+tB/T3Unirf1E20Ocq4uwJxGgO34JLA+TF67jnuWzr9pn7dJp1OzfRUu0g+M/fI4tEYPtRFi87gGS/L6BOF0REREZRAqtIjLknHiMWGeIzpZu2tq66eiK0B2KkpriZ+H6eYNyS6xxHM4fOM7Oqgt09DQRTzRjWV7SMsZz732ryMtOv2ofj8dDrt9PbnYmLJ7R248xxGIxXC4XlmXR0R3ifH0bVZU1dLWepy72nuBp+fAGsikomsad65cS9Lv7PNfpk4rYGcghEr5IrKcHXyAwYO/D+xljqN9ewfajrayclUfh8gVXbrdtTr28la313YSj58AdJH/yYu5fN4/kgJ/mjm5++qOTnG3p+NBjJS6c5xe/q6HT6cB2IiTsEAYHb2Ypj9y7mvw+rgH0jmYH04vpbjvO63YQ24lQOG0pS2eX3oq3QERERIaYQusIE+2J8VblMWovtdIZihBPJHAcB8fYGONgsLFw4XJ58Hp8jC/KZdmaMvyB/o02OI7D/l01nD7XQHekB4Nh1ZKZTJk9foDPrFc00sOl0w1EYwkc28Z2HGz7yj8J28ZxHCwsvD4Pfr+XgN9LIMlHUpKPQFKA5LQg/mT/oNQsV4uGI+x6o4qzDW1E450YE8cYGwDL8oDlBgwYA9g4Tgxj4m/fFvteFgdOXmT9khlMmjtpQGq9eOgk2/edoTPaSSzWgCGByx0kr2AG9927nNRg8od38t6KLQu//92fveyMdLIz0pk3rZRYPM6BI+dISwlQkJNBemrwckjNycmhubn5mv0mBZIIh23OHb/I5DkD8168X7y+nhdfPkhD9BIJu5vfHGxh8cVW5j++AYDQ4Rpe2nWB1vhFbKeHlLypPPnoegI+7+U+ctJTcHuzicbbcGJRXL6+P5fhqrd4tvwiXdGT4EnFnZxOIKmA5UvmMHP8h6/DuWL1fF79zXFsHJZsfIAlM8bdmjdBREREhpxC6zBm2zbNdW0cPHCCS01t9ES7sROt7/vF3sKy3L1BgN6vBgcTj9LTE+OtYyepPnGQnIzxfOwT134WrrO1k5de2kNHqJFEouWK/l/dep6dFeN57JEVpGWl9av2eDSKy+3G7bn6R8xxHDqbOzh/pp5LdW00tXcTiUWwE2H+//buPLiq+7z/+Pueu2rfF9ACAiEEQixiEzJgs9nGNo7XpI6XOHbi1E2b6UxnmnambdrpZCatp5l4pvnFTkKcxE5jO6x2bMeGgI0xYjNmESCQQEJCQjuSkK7ueu7vD4Fim1Ug6Wr5vP4B3eWc55xHR+c+97sFgx1XKFz6z2pE8fADa0jPTL3lbcmN83S5+ePmPTR11BG4OP7TsMZiWJ1YLL2FTMg0CYUCYLFgsYDFYsdmi8BqtWG32XA47DidTiKjXZytbcDdfYY/fVzP7OYOFq+ae63d3zAzGGTP+/soq23E66vHDPmxGC4iosdTUJhH8bxpg9K667DbWXiTBWdSQgytbXCmpmlIilZPYyOvbt5Hj7cKizWalImzaT5zlNLGbg7/wkcI8Jkd+PwtWOwJLFl1F3OmZl9xW7GxyZxvLafs48PMXDH/sud99fX8rvQ0Pb4aHHHZPPP1+3DY+3d7mjohlQt3P8DEtCSS46Ku/wYREREZMVS0honX4+P44VPU1DTT3uXG5/cTMP2EzAAhghDyYwZ7MD83Ns5qjcHhTCU+JobM8UnkTMkkfVzKVT9cN5xr5pMdh2loPUdT2zF+/Ss/T37jTqxW6xde9/5bpVTWniAY7MSwxpAQn8vMgknkTZ/ImVN1bN+5nwvdFfzfm1188+mvXNZq29bYxsc7jtJ0/jz+QCch04sZ8mLBhmGNwGJxXozRQsj0Y5rui2P4Qn3bVjrmFwAAIABJREFUsFhsGNYYHK5UIp0RWK2Wvu6VhgUsFgPDMDAMC9aL/4ZCIfyBIIFg8C8tsEETj89HT08tn+ws4+G/Wj5gOZOrCwb8vLuxlNrmGgKBNgwjivS06SxdNof01KRb2nbZkVNs2/4ex6vOspgbK1pNn49jpcc5UtVE0AyxrGQKGfk5BH1e9v75IEdqGvB4awADZ0QaM2dPH7RCdaBkZKZw8hS0tncP+r4C7e38btN+erxVRCZM4qm/uhuH3caJM3l88Mf3uOA9BRhgdZGVX8xXVs7DMIyrbm/uwgK2vlvO4TPNzLzC85veOUiPr4bo1Kl882t33nQe5uVduWgWERGRkU1F6wAKBAL86e1SzjY2YpoeQqYPwxZNRso4Vt41j/raJqpOn6O6vgmvtxHT7Pncuw0Mw4XFYsdisWGxOHA4o3HanaQmxlK0MJ+09JR+xZM+LoWHv7aCHreH3/z2bTq7KvjVWh9fffgO4pLiaGs8z7rNH+Hx1GAYkUydNJc77y35wgfG/BmTyZ8xmd/99j1a2yt49dX3eebZezEMg7qqc3yw7TO63bUXi2srNnsCNnscNquNoGkSCHp7zwUmEMKwOLDZY4m0pxAVGUFifDR50ycwZ04hra2tVz2W/vD5fLz88is0d5wfkO3JtX360WH2HT+Jz1ePYUSQlVHIvfcvxmG3X//NN2BG4WR27EzC528n9Ll1OK+mfF85H+4/hM/f2PfYxi1VuHZkEAj2zs4LBlHR2dx3/1LSkkfG+qe5+dls/wi6Pd7rv/gWmH4fv3uzlG7vKVwx2Tz7xL1953zqhHTy/uZpgsEgtiv0oria6bkZbLNG0+XtvCyHZz/ZT7O3DostnqceXTmsvzgQERGR8FDROkDe2/wJp+tOEwycxzAiMIworLYYAv7zVNc18MtfHeQvLYsGdnsKyQkTyUxPYMq0CaSOSx60D2sRkS6+9a0HeeWVP9LTc4bXXt9AUnwWre11BIMdREVm8+gjK4iNj7nqNr7+5N388pce3D1V/PKXbxEMegkEWgmFAtjsKUyZMIEly+YQGRFxUzEO5LE7HA4cjmR8vmbcF9xExvRvTOJw0NbQyvZtR2jubMUMXrg4DtTBzLwp3LZiTrjDA6CzuZ31m3fR5a4Ci4WEhFweeXQFEa6BH0scHRlPe0cFJw6dIv8aY1s/++ggu8o+wwy6iU+YzKyifDxuL59+egi35zSGEUVC0hSWr1xARtqttQAPtQinA8OIxBcY3KL1z+t30uGpwB6RzrNPrbns2rRYLP0qWC9xRqTQ03WGhrKTjCucCoDp9fB+WX3vTL9LV2D7Ui8QEREREVDResvKj5xi+ycH8PvOYRhRpCXlc/8DS4iI6i3eetwePni3lJb2TlxOJ/ExkSwonk5Kev/XK7wVNpuNb3/7Aba8W8qJ08doaj2GYXEyLXc+q+5ZdN33WywWnnxyNb96ZSMeTw1WawwuVzpzCqcwr/jyJSjCbVxKMtVn6/h4+0Huur8k3OHcsJMHT/Hx/nJ6euowQx4sFgc2ewJgEvC3caj8CLPm5hJ9jS8YBsOF1naOHqyivcNNe3cPHe4uAv5mgmYPdkca996zlOzs60+Wc7MK8rP5ZE8FB8uqrlq07tv+GXuO7icUCrBg4R0sXFjQ99zC+dPp6nYTFRkxolvyDGvkl3poDCx3QzMVbfVYDBePf33NZUMJbkXe9Mkc2lvFR/tO81cXi9Zdmz+h23sGZ/QEimdOGrB9iYiIyOgyZEXrwYMHeeWVVzBNkxUrVvDAAw8M1a4HzYdb9nOkfC+EQsTFTOaRR5cRFf3FVr2ISBdfeWT4LG6/6p5FFHcW8t47pSwqmUHWhBsvNFwuF8988yHc3T0kJsUPYpS3bumyOVS/eoSaxuZwh3JDTpVVsW1XGR5PDSGC2B0p5OfMZMmyIpyO3jHE7729k4qqA/xh/cd889l7hiSuhupzfLDtMBfcZwmafxlLabHYsTmSmJpTyMo7iwc9jtnz8ind+wntXZ1XfL67vZN9x48SCgW5445VFBZeXthG93MW4OHIanXh97VgmuY1x5DerA1/3E8g0MaE3PnERt1cr4mrWbIgnyOf7uG8p41g1wUsdjtHW89jsdh48KEVA7ovERERGV2GpGg1TZO1a9fyL//yLyQlJfHP//zPzJs3j8zMzKHY/aA4UXaKshMHsFicrLzjDvILJ4c7pBsWExvNVx9bdVPvdbmcuAah++dAi0+IxW5PxudtIRAI3FR3xqHQ3tTGxrf30OWuJhTy43SNZ+ltRUwruLzVafWaxZx5uZ4L3afZt+Mw85deaUqbgXHqyCk+2nMCd0/veGWrLYGMtAkkJMaRkpbItPwJQ3pOrVYrNkciAV8L3h4vzogv/g6+uW4ngUAbOROLrliwjhYuhwuvx0NLXROpWekDuu3Tuz6jvacGqz2JNXcvHNBtAxiGQULKBFobyvj4T/tx2Sx4/fVExeeSGh894PsTERGR0WNIPnVWVlaSnp5OWloaACUlJezbt2/EFq3nW9rZ+tEnhEJBbpt/24gqWMeShNhEmlqb2P/JUYpvnxXucL4gGAzyzvpPqG0+TTDYid2RypJFc5kxa8o133ff3UvZ+NYm9h89PuBFq2mafPLBpxyrrsPjPds7XtmRwtzC6RSXzAx7t9rk+ATqG+vZt/MIi1fN63v8k/f3csF9GodzHGvuXxzGCAdfbEwUHZ1wuqJ+QIvW5iMn+ODQScyQjztuXzworbgAd9+9kN/9+jgVLe0XR/hbWX3PbYOyLxERERk9hqRobWtrIynpL5OeJCUlUVFRMRS7HhRvrv8zwWAHudlzKCouuP4bJCwWFRew+Z1yTpyuG1ZF69nKet7581683hoMI4qCqQtYcdeNdbHNnJBOdFQGF7qqqSqvISd/YJb46L7Qzcsvb8DrPQsYOF3plBTPonDmtYvoobSgeBqbNh+lsraJS6Wpz+Ph0KmTWCx2Hnzg6usQjxbpaQnU1kFDS8eAbbP9xCnWf3IYn7+RrMnzmDl9woBt+8uSYqNwRo7H464nhIkrZgLjk+MGbX8iIiIyOgyrPpNbt25l69atAPzoRz8iOXloJiuy2Wz92tftxXMpK0/gqW+N/HG5w0V/c3AjkpOTefvdd/D6vUP2u3Q9r7/yLifOHCZo9hAXm8Pz332MyAhXv7Yxv2g623ZUsffTCuYvLhqQuNb+8h283rPExubw9a/fx/jx/VteaSgkJyfz9h+34PacJzY6BofLySs/20gg0EZ21mwKCoZPgX0zbuQamLegkH0HPuSC++Z+p4OdvcWuNba3ULxQV88b2w/h851jQu58nn1qTf8D76elyxez5Y+/Byw8/MjqYXNtwuD8HZL+UQ7CTzkIP+Ug/JSD4WdIitbExMQvrMHZ2tpKYmLiZa9buXIlK1f+pbWkpaVlKMIjOTm5X/vKnzWR/FkThyy+saC/ObhRFsNFMOgLe678Ph//99p2OrpOYhhRLJh3O8UlM3F3d+Hu7urXtqbPzOHDnVG0dbYMyHFteuNDut2ncEVk8vTTvUVLuM/X1SQljqep+Tgv/78NPPzVpdQ2V2MY0ay+d9GwjflG3cg1YHdYsFjs9Pg8/Tpe0+dl7+ZPONJ2ATB44LYpJE2ZyK9/82e8vrMkjyvgK/cMzTmcNimFbZHjcLiiSIqxD6u8DdbfIblxykH4KQfhpxyEn3IwNMaPH3/Drx2SonXy5MmcO3eOpqYmEhMT2bVrF9/73veGYtcyxhlWF2Zw8JYIuREdre28/odteH1nsTvSeOxrq4lPiL3p7RmGgcuVjNtdS0NtE+lZqX3P9XS5ObK/ggV33Fh36GMHTnK2qRyrNY6/+9vH8XrDe66u55FHl/Hyzxto7TjNH14PEQicZ3z6DJwOe7hDGzKGNYpg0HNDrzU9Hsq27GPfuU7cnqqL40hN1n/cRVTpGbo8p3BGZfLYI8sHM+TLfPdbjw7p/kRERGRkG5Ki1Wq18swzz/DDH/4Q0zRZtmwZWVlZQ7FrGeNshgOPvy1s++9obef//rAFv+8c8XGTeeLJ1QMyyU1eTgYHj57h451lPPrYXwqO/3t9G93u01SfbeWrT1y/EPlkfzlmyM+dy+4iJiZq2BetNpuNJSUL+XDHB7R2lmMYUdz3ldE9+dKXWY0IgsHrt84f2bqHPaea6PH2LqPkiMrgK/cv59NDFZw+thefvxnDnsA3nrgv7JNsiYiIiFzLkI1pLSoqoqhoYMbfidwoh91Bj8dHa2MbSWmXd0kfTJ8vWNNS8vnaY3cO2LaLl87i8LFPae34S0FefaIWd08NYKGh7Rjvb3Zx11dKrrqNprpmPN46HM508qfnDFhsg23m7Dw+PXiSC52nSU+diMvpCHdIQ8pud+HzNdLT2U1EbNQVX9PV0MzOkxX4A+24YjJZvryY3Am9sw3ft3IBu5MTOLj/EPffv3LMnT8REREZeQZnXQORYSLq4nqeZ6rODel+g8Egr6/7cFAKVgCH3Y7dmYLf38T5pt7CdeuOg4RCAebOXoxhRFJRc4TPdh296jY+2HqAUMhPYf7Im8DoqSdXM794BQ8/OrTdWoeDqAgXYHLqRM1VX7P+7f34A21MzJ3Lc998oK9gvaR49hT++luPMD41fpCjFREREbl1KlplVEuIjwagqXnglgi5EX/4/Xa83hpionMGvGC9ZMqEDEKhAK+v30LptgP0eGpxOMdx29I5rFq+DDPkZ//Ryiu+1+f10dF1DqstnpKlw2c5oBtltVpZtKBgTHZrTUtNAKDqTNMVn/9sy146PVXYHCmsWX1jSymJiIiIDGcqWmVUG5fe2yW4o7N7yPa5f+cRms+fxGZL5PEn7x60/Sy/ayHj0wvw+5vZV7aLUChAyfyZAEydnoPNFo/ff+Xj3vLOHoLBTtKTM8dk4TeSzSzKA6C14/JxrU2Hy9lTWQXAPfetUG5FRERkVFDRKqNa9uTeqbTdXt91X+v1+Hj55U38/tWtN70/r8fH3sOHAIPVq+7AYR/cWW0f+eoKFi24A8Nw4XJlMLNoat9zdns0wWA7HvflM83WNJ3DsDhZvebqY15leEpKjMWwRuPxu/seC5kmO97czvqd+/D5G0nPnM7EzNRrbEVERERk5BiyiZhEwiE6JgrD4sQfuH7R+ubrH+L11tDmj8Ln8+Fw9H+Cmnff2kUg0Mb4tAJypmTeTMj9Nr94BvMWFlz2eHx0NOd6Ahz5rIL5txX2PV5/pgG/r4nIyCwiI1xDEqMMLJsthqC/EzMYxLBaeX/dx1Q0HAeLQUHR7axYPPK6fIuIiIhcjVpaZdSzGBEEg95rvubQnuO0X6jEYnESNLv56IMD/d5PwO/nXMtZDCOKNQ8sudlwb4rFYrmsK+jkSeMAqDrT+IXHP95ZBpjk52rZqZEq0hVN0Oym9sQZAM6cbwWLwSOP/ZUKVhERERl1VLTKqGdYXZjm1YtWn9fHrgOHAFi2ZBkWi43Tdf2fbfhPb+8mEGgjJTEb5zBYRqRg9hQsWOno/uK41rYLbRhGJMWLZ4YpMrlV48clAVB2/Cze7m78/hbsjiTGJWs2YBERERl9VLTKqGc1HJhmz1Wff2fzLvz+JlKScpkxOw+HIw2fr4G25vM3vI9gMEhNQy2GEcH9Dw1tK+vVOJ0OrLY4/P6/TNhTd7FrsMuVgs2m0QEj1ayLkzE1t19g744yTNNDcmJymKMSERERGRwqWmXUc9odhEI+Whvbrvh8Q1szhsXFQ4/cAUDuhExCIT9/3vrZDe/jw/f3Ewi0kBCfRYRr+IwTtdujCQba8bh7i/ad6ho8KqQkx2MYUXj8PZyqbwWg+HPjlkVERERGExWtMupFRTgBOFN1eZffujON+H2NuCJS+yZeun3lXAwjkpb25hveR1VdE2Bwz72LBiTmgRIfE0OIIIc/rQCgrbNVXYNHCastlmCgkx5vO1ZrHJnj1dIqIiIio5OKVhn1EuKiAGhq7rjsuY92HAZMCvIm9j1ms9mIcKXi9zfR3nr5e67E62/HZksgISFuIEIeMLmTL03G1MTh0mP4/c3qGjxKREZEETS78AdaiYhIDHc4IiIiIoNGRauMeuMuTlrT0dl92XPtXS0Y1mgWfqnlMToyEghRd6bputuvqThLMHCeyIjhVbDCxcmYLDbaLrTx8aelWCxWFs6fFu6wZACMS026+L8QuZPV3VtERERGLxWtMuplTx4PgNv7xbVajx+qJOBvJjoyFcP44qUQHdk7LrW5pf2629/36UkAcieOH4hwB5TDbsdqjcPvb8AM+SlZuJTCWXnhDksGQGHRFAAsFjsLF12+Tq+IiIjIaKGiVUa96JgoDIsTf+CLReveA73F5oJ5Uy97T0JCb5fijk73dbff0tGBxWJnfsmMAYh24MVEJ2AYkdyxZDlzF6i4GS3GpSViWKOxO5NxOuzhDkdERERk0Ghgm4wJFiOCYPCLa7V297RhtSUwvXDKZa9PTUvofY3n6uu7Qu9SNwF/GzZ70rBYm/VKnnhyNQAWiyXMkchA+9rjjxChglVERERGObW0yphgWF2Y5l8K0Lbm8wQC53E5rjwOdXxWGgBen++Kz19y9EAFQbObuKjhN571EovFooJ1lEqJjyU6MiLcYYiIiIgMKhWtMibYrA5Ms5sLHRcA2Fd6DAgxLuXKs65GRkVgsTjwBwLX3G7Z8TMAFM7IGdB4RURERESkl4pWGRPGJycSCgX4ePshAOqaeydYWlA8/arvMQwnQdN/ze12ujsxjEhmzL68i7GIiIiIiNw6Fa0yJixdXgRYqWtqBcDj68RqjSc57errW1osTkLmtbsHBwId2Ozx6n4rIiIiIjJIVLTKmBATF43dnozP18KFjgsE/W04HLHXfI9h2AmFrl601p6uxzTdRDojBzpcERERERG5SEWrjBkJsYkEzW7e2lxKiCCpCfHXfL3Vasc0PVd9/vjRagDSUxIGMkwREREREfkcFa0yZiy6OH71fGfv5ElFV1if9fPsNjuhkJ+Ots4rPt/Q2gHA9EJNwiQiIiIiMlhUtMqYMWFyBlZbAqbZg9UaQ9bEcdd8vcvRu+5qfW3jFZ93e90YRgSZ2ekDHquIiIiIiPRS0SpjSlREb1dem/3666rGRLoAaG66cktrMNCF1XrtcbEiIiIiInJrVLTKmDJ7xiTAQnry1WcNviQ+PhqA9s7uy57raOsgGOzE6dAkTCIiIiIig8kW7gBEhtLs+dNJSE0gKyvtuq9NTu1tje3uuXwypiMHTwEhEuNiBjpEERERERH5HBWtMuZMmHDtsayXZGT3FrZen/+y52rre9d7nZKbMXCBiYiIiIjIZdQ9WOQqomOisFjs+IOXF61d7m4sFhtTZ2jmYBERERGRwaSiVeQaDMNF8ApFqz/QjdUah82mzgoiIiIiIoNJRavINVgsDkzzi0Wr3+8jGOzEZtMkTCIiIiIig01Fq8g1GIaDUMj7hceOHzxNKOQnNio6TFGJiIiIiIwdKlpFrsFq2DHNLxat1TVNAGSkX3/ZHBERERERuTUqWkWuwWazEQr5uNDZ1ffY+Yvrtk4tmBCusERERERExgwVrSLX4HI4AKg/09T3mMfXg2G4SE1PDldYIiIiIiJjhopWkWuIjnQB0Nx0vu+xYLAHw9B4VhERERGRoaCiVeQa4uOiAGjvcAMQDAYxg13YbBHhDEtEREREZMxQ0SpyDcmp8QB09XgAqKtqwAx5iXCqaBURERERGQoqWkWuISs7HbDQfbForag4C0BygroHi4iIiIgMBRWtItcQHReF1ZaA19cBQFNr778TJ6WHMywRERERkTFDRavIdUQ44wgEzlN3pvFiN2Erk/Oywx2WiIiIiMiYoKJV5DomZacDIfbuOU4g0IPVGo3j4lI4IiIiIiIyuFS0ilxH8ZJCLBYbze3tmGY3VmtkuEMSERERERkzVLSKXIfL5cJmS8LvayUY7MZh18zBIiIiIiJDRUWryA2IjYojaHYDIeKi1dIqIiIiIjJUVLSK3IAZ0yb0/T9jfGIYIxERERERGVtUtIrcgMK5UzGM3m7B+QU5YY5GRERERGTsUNEqcgMMw8DpTMZqjSU+MS7c4YiIiIiIjBm2cAcgMlI8+dS9BILBcIchIiIiIjKmqGgVuUEup9ZmFREREREZauoeLCIiIiIiIsOWilYREREREREZtlS0ioiIiIiIyLClolVERERERESGLRWtIiIiIiIiMmypaBUREREREZFhS0WriIiIiIiIDFsqWkVERERERGTYUtEqIiIiIiIiw5aKVhERERERERm2VLSKiIiIiIjIsKWiVURERERERIYtFa0iIiIiIiIybKloFRERERERkWFLRauIiIiIiIgMWypaRUREREREZNhS0SoiIiIiIiLDliUUCoXCHYSIiIiIiIjIlailFfinf/qncIcw5ikH4acchJfOf/gpB+GnHISfchB+ykH4KQfDj4pWERERERERGbZUtIqIiIiIiMiwZf33f//3fw93EMPBpEmTwh3CmKcchJ9yEF46/+GnHISfchB+ykH4KQfhpxwML5qISURERERERIYtdQ8WERERERGRYUtFq4iIiIiIiAxbY6poVU9oEREB3Q/CTed/eFAewk85CD/lYGQY9UVrbW0tR48eBcBisYQ5mrGpsbGR1tbWcIcxpikH4acchJ/uB+Gl8x9+5eXl/OIXv+D9998HlIdwUA7CTzkYmUbt7MGmabJ27Vo2b95MTU0N9fX1REREkJiYiGma+gUdAoFAgJ/97Gds2rSJI0eOYJomGRkZWK1WQqGQcjAElIPwUw7CT/eD8NL5Hx5Onz7NSy+9xIIFC/j000+prKwkPj6e+Pj4cIc2ZigH4accjFyjtqW1u7sbj8fDT37yE773ve8RExPD22+/jcfjwTBG7WEPK9XV1Xg8Hl588UW+9rWvcfz4cXbs2EEgENCHlCGiHISfchB+brdb94Mw0v14eKisrGTy5MmsWLGCv/7rv8bpdHLgwAE6OzvDHdqYcerUKeUgzHQdjFyj6m6xe/fuvqb+np4eTpw4gcfjITY2loULFxIdHc2f/vQnQP3XB0tra2vfuTVNk4aGBkKhEPn5+cyePZu6ujrKy8vDHOXoVllZyYULF/p+Vg6G3tmzZzl//jyg6yBcmpub8fl8AFy4cEH3gyGm+3H47dq1iz/+8Y+cOHEC6F1z0uPx0N7eTnx8PDNmzKCzs1N/iwbRiRMneOGFF6itrQUgJydHORhiu3fv5te//jXbtm0DlIORbFR0D770De6hQ4eYPn06GRkZxMTEcPr0aRoaGpg2bRpOpxOn08lnn33G1KlTiYiICHfYo0pLSwsvvPACu3fv5ujRo0ycOJG4uDiam5uxWCyMGzeOxMREqqur6enpYeLEiVit1nCHPeqUlZXxgx/8gOzsbDIyMgBoa2vDMAzS09OVg0HW0NDA//7v/1JaWsqOHTuYOnUqqampNDY2KgdD5OzZs7z00kuUlpZSWlpKbm4u48ePp7KyksbGRt0PBpnux+Fnmibr169n27ZtTJgwgfXr15OUlERcXBwtLS0EAgGysrJITk7m1KlTmKZJbm6uhisMggMHDrB//37S09MZN24cHo+HxsZGTNNUDgaZ3+9n7dq1HDhwgIULF/LKK6+QlZVFamoqdXV1ysEINCpaWltaWoiPj+eHP/whixcv7utudMcdd3DixAkaGxuxWq3ExcVht9vxer1hjnj0+eCDD5gyZQr/8R//QXx8PK+++iper5eEhAROnz5NZ2cn0dHRpKenU15ejt1u17frg6C5uZmcnBwaGhpoaGggOjqa+Pj4vtZX5WBwvf7660yaNIn//M//JD8/n/feew+n00lCQoJyMIguncO6ujp+8YtfMGPGjL4vb9auXQvA8uXLOXHiBE1NTbofDLDP/w7rfhx+hmFQX1/PU089xX333cejjz7K+++/TzAYJCEhgerqas6ePYvVamX8+PHs3bsX0GQ0g6Grq4vMzExOnTrFmTNnyMrKIiUlhdOnTysHgywUChEIBPj2t79NSUkJ999/P36/n+TkZOVghBqxRevWrVs5duwYADU1NX2zcr7//vv84Q9/oLy8nKysLKZOncqrr74KQHZ2Ni0tLdjt9rDFPZq0t7cTCAT6fr40iP2JJ54gGAxSXl5OTk4OPT097Ny5E4B58+bR1dWF2+3WH4YB0N7ejmmafT8nJCRQXFxMc3MzR48exeVyUVBQgMfjYceOHYByMNDa29sJBoP4/X6io6PJzMwEem98kyZNwufzMWfOHNxut3IwSPx+PwCRkZE8/vjj3HPPPQA88sgj+Hw+Ojs7yc3NJScnh9deew3Q/WAgXTr/oPtxuHz00UccO3aM7u5uAOLi4uju7iYYDFJcXExaWhqHDx9mxowZ2O12Xn/9daC3J87kyZMJBoPhDH9UuJQDt9sN9LZ4R0ZG8uCDD+J0OqmsrCQYDJKXl0dUVBS///3vAeVgIF3Kgcfjwe124/f72blzJxs3buTNN9/k4MGD7Nixg9mzZxMREaEcjDAjrntwWVkZL7/8Mrt27SIiIoLCwkIsFgt1dXXs2bOHlpYW0tLS+PDDD7FYLKxcuZKtW7dy+vRpfve735GRkcGCBQuw2Wz6sHiTjhw5wk9/+lOOHj3K8ePHmTt3LhUVFTgcDsaPH4/dbicqKopt27axatUq4uLiWLduHa2trbz22mvMmDGD2bNn6/zfgs/n4OjRo8ydOxfo/YOdnZ3NnDlzOHDgAOfPnycyMpKMjAzWr1+vHAygz+egvLyc+fPn941VfeONN2hubiYyMpJ169ZRXFxMamqqcjDADh8+zM9//nOqqqrweDzk5eWRlJTU173r1KlTlJeXc+edd2Kz2fpav6urq3nttdd0P7hFl85/dXU13d3dZGdnY7PZqKmp0f14CIQIH+hVAAAM30lEQVRCIdrb2/nv//5vzpw5Q2trK/v27WPWrFnU1NTQ3t5OTk4ODoeDtLQ03nzzTVatWsXcuXM5ePAgW7dupbKykscee4zY2NhwH86I9OUctLW1sXfvXqZNm4bL5WLr1q1MnjyZmTNnsmHDBt59913y8/NZunQphw8fVg4GwJWug71797Jw4UKys7Opra3lwIED/OAHP2D8+PFs2rSJadOmsWTJEg4dOqQcjCAjomg1TZNgMMgrr7zCrl27WLNmTd94venTp+N2u6mtraWiooLvf//75OfnEwqFOHnyJAsXLqSoqIjExETy8vJ44IEHsNvtukHepPr6en71q19x3333cdddd7F9+3aysrKIjo6mtLSUSZMmERcXR3p6Oh9++CGmaVJcXMz06dPx+XzMnj2b1atX6/zfgi/nYMeOHcTFxZGWlkZnZydxcXHExMSwbt06du/ezaJFi5gxY4ZyMICudB2kp6dTUlJCSkoK9fX1/Nu//RuzZs2ioqKC5uZmli1bphwMoIaGBtauXcuaNWsoKCjgww8/pK6ujmnTphEMBjEMg7q6Orq6uigqKgJ6u03OnTtX94MB8OXz/9FHH9HU1MTs2bM5fvw4lZWVuh8PItM0MQyD8+fPU1VVxT/+4z9SVFTEkSNH+PTTT3n44Yd55513GDduHLGxsSQkJFBWVkZ3dzd5eXnMmTOHOXPmcO+99xIdHR3uwxmRrpSDOXPmcOzYMXbs2MFtt91GdXU1kZGRbNq0ierqajIyMli+fDlRUVHKwQC42nVQVlbGjh07WL16NTabDavVysKFC0lKSqKyspLa2lqKioqUgxHGFu4ArudS10ebzcb8+fN59tlnATh06BBr167l4YcfJj09nWnTplFVVUVpaSlLlixhwoQJ7N69G9M0iYuLIy4uLpyHMaJdyoFhGFRXV5Obm0txcTFutxuXy0VcXBw5OTkcPnyY3bt3Y7FYyMzMpKSkpK+bTFZWFllZWeE8jBHtWjlwOp19X+JUV1ezadMmfD4fhYWFeL1ebDYboVBIObhF17sOkpKS+paxSUtLo6uri+joaIqLiyktLVUOBsDnc1BRUcGkSZOYP38+ADNmzOC3v/0tK1as6Pt7X1ZWxpQpUwBYt24dy5Yt65uQRvrvRs7/8uXLmTdvnu7Hg8Q0TV5//XVM06SoqAi32903btgwDJ599lmee+451qxZw+LFi9m1axft7e2UlJRgs9mYOnUq0PuZSq1KN+d6OXj66af5zne+Q01NDX6/nx//+Md89atf5emnn+Y3v/kNx48fZ+HChcrBLbheDp555hm+853vUFFR0TdTcFNTE6mpqVgsFnJzcwFdByPNsG5p3b59O//1X/9Fd3c3hYWFpKWlARAMBnG5XFRVVZGcnExSUlLfwsCbNm2iu7ubN954g/nz55OXlwdoYPXN+nIODMNgy5YtnDx5kldffRWbzcbJkyc5evQoX//61zl06BClpaWcP3+ezZs3s3Llyr68yc25Xg6sVisnT56kvLyc+++/n3PnzvF3f/d3lJSUUF1djdPpJDMzU9fALbiR66CiooKysjIWLVrEW2+9hcfjobq6mg0bNrBs2TImTJgQ7sMY0b6cA4BXX32VkpISoqKiqKyspKmpierqahYsWEAoFGLz5s14vV7eeustgsEgixYtwmYb9t/VDks3cv4bGxs5e/Ysq1evJioqSvfjAXbs2DFeeOEFYmNjycrK4t1336WgoID33nuP/Px8EhMTsVgsOBwOPvjgA5544gkCgQDbt2/n7bffJioqipUrV+oauAX9ycGWLVt4/vnnueuuuygsLCQiIoLY2FgKCgpwOBzhPpQRqz852LZtGw899BB79+5l//79bNy4kaioKO6//35dByPQsC1aPR4PGzduZOnSpezZs4fCwkKio6MJBoNYrVa6u7vZt28f8+fPJzY2FpvNRkZGBjk5OXR3d7Ny5UpKSkqwWCy6Qd6kL+egoKCAjIwM5s2bR2trKzNmzOBb3/oWRUVF/OxnP2POnDncfvvthEIhampqePTRRykoKAj3YYxo/cnBT3/6U+bOncuqVatwOp0A5OXlMXHiRF0Dt6C/18Ftt93GtGnTOHv2LJWVlTzxxBPMmTMn3Icxon05B9OnTycrK4v29nb27dvHO++8g9vt5qmnnmL//v0UFBQQERHBu+++i8fj4Rvf+AZ33323PqTcpP6c/71791JYWMjkyZN1Px5gLS0tZGZm8tBDDzFp0iROnTqFzWZj1qxZvPHGG6xatQrTNElJSeHw4cPk5eUxZcoUCgsLWbBggQrWAdDfHEyaNImEhAQCgQCGYZCamqoc3KL+5ODQoUPMnDmTBQsWkJGRwaJFi/rmOJCRZ9gWrZe6scyaNYumpib27dtHcXExhmEQCoWIiori448/xuv1Mm3atL6JNxITE5k8eTJJSUnhPoQR72o5sNvtbN++nVmzZpGSkoLVaqW5uZn4+HjGjx/fNxFQcnJyuA9hxOtPDlpbW/tyYJomFotFa4AOgP7koKWlpe+b9IKCAhYtWqS/RQPgyznYu3cvixYtYubMmRQWFjJx4kTuvfde/H4/lZWVLFmyhEAgQF5eHg8++CAJCQnhPoQRrb/nv7i4GKvVqvvxAIuNjSU7O7uv+O/u7qahoYE1a9bwwQcf9M1MW1dXR0VFBcuXLwfA5XJpvN4A6U8OKisrWbFiBUBf11W5df3Nwe23347VaiUhIUFDE0a4YX0VXSp67r33XhoaGjh06BBA3zIrJSUltLa29n2DJQPv8zlobGzks88+wzAM0tPT+fnPf059fT0bNmzgxIkTGqs3SG40B8ePH+/Lga6HgdWf6+DS+GIZWJ/PQVNTEwcPHsQwDCIjI8nPzwdgy5YtOJ1OQqEQDoeDSZMmhTPkUaU/51+tGIPD6XRit9v7/r4fPny4bzze3/zN31BXV8ePfvQjXnzxRf3uD5L+5CAnJwdAa3EPMF0HY9eIuLPEx8ezfPlyNmzYwKxZs/rWdfN6vUyYMEEf0IfApRxs3LiROXPm8OCDD3LhwgXWrVuHaZp8//vfV8vqIFMOwk85CL/P52D27NkYhkFlZSUbNmwgGAzy/PPPq4fBILqR86978uC6NCFWR0cH8+bNAyAiIoLHHnuM2tpaUlNTSUxMDGeIo15/cqAu8YND18HYYwmNgK+ALk1p/T//8z8kJCRgmiZ33nknmZmZujkOkc/nIC4uDofDQUlJCdnZ2ZpQYIgoB+GnHITfl+8HNpuNmTNnkp6eTnp6erjDG/V0/sMvFAoRCAR46aWXWLBgAdu3byc6OppnnnmGyMjIcIc3JigH4accjD0joqXVMAy8Xi+dnZ0cO3aMhx9+mOzs7HCHNaZcKQeXpgyXoaEchJ9yEH5XysHs2bPDHdaYofMffhaLhaqqKnbu3ElTUxPLli3rG78qQ0M5CD/lYOwZES2tAG+99RZtbW08/vjjfd2DZWgpB+GnHISfchB+ykF46fyHX2trKzt27OC+++5TDsJEOQg/5WBsGTFF66UuSRI+ykH4KQfhpxyEn3IQXjr/IiIy1EZM0SoiIiIiIiJjj74qFRERERERkWFLRauIiIiIiIgMWypaRUREREREZNhS0SoiIiIiIiLDlopWERGRIbJhwwZeeumlcIchIiIyomj2YBERkQHy5JNP9v3f5/Nhs9n6lod57rnnWLJkSbhCExERGbFUtIqIiAyC7373u3znO99h5syZ4Q5FRERkRLOFOwAREZGx4s0336ShoYHvfe97NDU18bd/+7c8//zzvPnmm3g8Hh577DEmTZrESy+9REtLC0uWLOHZZ5/te/+2bdt4++23aW9vJzc3l+eee46UlJQwHpGIiMjg05hWERGRMKqoqODFF1/k7//+7/nNb37Dhg0b+Nd//Vd+/OMfU1payrFjxwDYt28fGzdu5B/+4R/45S9/SX5+Pi+++GKYoxcRERl8KlpFRETC6JFHHsHhcDBr1iycTieLFy8mLi6OxMRE8vPzqaqqAmDLli08+OCDZGZmYrVaefDBB6murqa5uTnMRyAiIjK41D1YREQkjOLi4vr+73A4LvvZ4/EA0NzczCuvvMJvf/vbvudDoRBtbW3qIiwiIqOailYREZERIDk5mYceekgzEIuIyJij7sEiIiIjwKpVq9i0aRO1tbUAuN1uSktLwxyViIjI4FNLq4iIyAiwYMECPB4PP/nJT2hpaSEyMpLCwkIWLVoU7tBEREQGldZpFRERERERkWFL3YNFRERERERk2FLRKiIiIiIiIsOWilYREREREREZtlS0ioiIiIiIyLClolVERERERESGLRWtIiIiIiIiMmypaBUREREREZFhS0WriIiIiIiIDFsqWkVERERERGTY+v/fVKVcrEhJEgAAAABJRU5ErkJggg==", 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" ] @@ -198,16 +200,15 @@ ], "source": [ "# NBVAL_SKIP\n", + "results = []\n", "with MAGICC7() as magicc:\n", - " for i, (name, scen) in enumerate(scenarios.items()):\n", + " for name in scenario_names:\n", " # note that we obviously don't need magicc_version as an argument\n", " # here as it is assigned automatically\n", " print(\"running {}\".format(name))\n", + " scen = getattr(scenarios, name)\n", " scen_results = magicc.run(scen)\n", - " if i != 0:\n", - " results.append(scen_results)\n", - " else:\n", - " results = scen_results\n", + " results.append(scen_results)\n", "\n", "results.filter(variable=\"Surface Temperature\", region=\"World\").line_plot(\n", " x=\"time\"\n", @@ -225,7 +226,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -263,7 +264,7 @@ }, { "data": { - "image/png": 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\n", + "image/png": 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", "text/plain": [ "
" ] @@ -274,6 +275,7 @@ ], "source": [ "# NBVAL_SKIP\n", + "results = []\n", "with MAGICC7(root_dir=\"../../magicc\") as magicc:\n", " # binary readers aren't yet ready and we can't do this through\n", " # the run method just yet\n", @@ -284,15 +286,13 @@ " emissions=False,\n", " parameters=True,\n", " )\n", - " for i, (name, scen) in enumerate(scenarios.items()):\n", + " for name in scenario_names:\n", " # note that we obviously don't need magicc_version as an argument\n", " # here as it is assigned automatically\n", " print(\"running {}\".format(name))\n", + " scen = getattr(scenarios, name)\n", " scen_results = magicc.run(scen)\n", - " if i != 0:\n", - " results.append(scen_results)\n", - " else:\n", - " results = scen_results\n", + " results.append(scen_results)\n", "\n", "results.filter(variable=\"Surface Temperature\", region=\"World\").line_plot(\n", " x=\"time\"\n", @@ -312,7 +312,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -334,6 +334,7 @@ ], "source": [ "# NBVAL_SKIP\n", + "results = []\n", "for j, mclass in enumerate([MAGICC6, MAGICC7]):\n", " print(\"MAGICC{}\".format(mclass.version))\n", " with mclass() as magicc:\n", @@ -346,15 +347,13 @@ " emissions=False,\n", " parameters=True,\n", " )\n", - " for i, (name, scen) in enumerate(scenarios.items()):\n", + " for name in scenario_names:\n", " # note that we obviously don't need magicc_version as an argument\n", " # here as it is assigned automatically\n", " print(\"running {}\".format(name))\n", + " scen = getattr(scenarios, name)\n", " scen_results = magicc.run(scen)\n", - " if (i != 0) or (j != 0):\n", - " results.append(scen_results)\n", - " else:\n", - " results = scen_results" + " results.append(scen_results)" ] }, { @@ -482,7 +481,7 @@ "outputs": [ { "data": { - "image/png": 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\n", 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", 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" ] @@ -528,7 +527,7 @@ "outputs": [ { "data": { - "image/png": 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+ "image/png": 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", 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" ] From ba97b5402fe182b0b1bbf061b90f0a853404d7bf Mon Sep 17 00:00:00 2001 From: Sean Kelley Date: Thu, 13 Feb 2025 15:10:22 +0000 Subject: [PATCH 2/6] removed unused scenario imports --- notebooks/MAGICC7.ipynb | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/notebooks/MAGICC7.ipynb b/notebooks/MAGICC7.ipynb index d1511157..c945ff6a 100644 --- a/notebooks/MAGICC7.ipynb +++ b/notebooks/MAGICC7.ipynb @@ -13,7 +13,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -30,7 +30,7 @@ "from pymagicc import MAGICC6, MAGICC7\n", "from pymagicc.io import MAGICCData\n", "\n", - "from pymagicc import rcp26, rcp45, rcp60, rcp85, scenarios" + "from pymagicc import scenarios" ] }, { From c7349ba0e5cb1832933ca84026fe107a0dd1afac Mon Sep 17 00:00:00 2001 From: Sean Kelley Date: Fri, 21 Mar 2025 14:53:44 +0000 Subject: [PATCH 3/6] successful run up until comparison with magicc6 --- notebooks/MAGICC7.ipynb | 384 ++++++++++++++++++++++++++++++++-------- 1 file changed, 314 insertions(+), 70 deletions(-) diff --git a/notebooks/MAGICC7.ipynb b/notebooks/MAGICC7.ipynb index c945ff6a..a36a5eea 100644 --- a/notebooks/MAGICC7.ipynb +++ b/notebooks/MAGICC7.ipynb @@ -13,17 +13,21 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": {}, "outputs": [ { - "name": "stdout", + "name": "stderr", "output_type": "stream", - "text": [] + "text": [ + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/scmdata/database/_database.py:9: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " import tqdm.autonotebook as tqdman\n" + ] } ], "source": [ "# NBVAL_IGNORE_OUTPUT\n", + "import os\n", "\n", "import pandas as pd\n", "import pymagicc\n", @@ -49,21 +53,49 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "env: MAGICC_EXECUTABLE_7=../../magicc/run/magicc\n" + "env: MAGICC_EXECUTABLE_7=/Users/seangtkelley/Source/blog-posts/climate-model-magicc-python/magicc-v7.5.3/bin/magicc-darwin-arm64\n" ] } ], "source": [ "# NBVAL_SKIP\n", "# set your environment to find your MAGICC binary\n", - "%env MAGICC_EXECUTABLE_7=../../magicc/run/magicc" + "%env MAGICC_EXECUTABLE_7=/Users/seangtkelley/Source/blog-posts/climate-model-magicc-python/magicc-v7.5.3/bin/magicc-darwin-arm64" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "If you encounter an error complaining about `libgfortran`, you likely also need to specify a path for the this library.\n", + "\n", + "On MacOS, this will likely be be in your `gcc` install, but you can find its full path with the following command:\n", + "`find /path/to/search -name \"libgfortran*.dylib\"`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "env: DYLD_LIBRARY_PATH=/opt/homebrew/Cellar/gcc/14.2.0_1/lib/gcc/current:$DYLD_LIBRARY_PATH\n" + ] + } + ], + "source": [ + "# NBVAL_SKIP\n", + "%env DYLD_LIBRARY_PATH=/opt/homebrew/Cellar/gcc/14.2.0_1/lib/gcc/current:$DYLD_LIBRARY_PATH" ] }, { @@ -82,7 +114,7 @@ " \n", "`MAGCFG_USER.CFG` should have lines like\n", "\n", - "```FORTRAN90\n", + "```makefile\n", " FILE_EMISSCEN = \"NONE\",\n", " FILE_EMISSCEN_2 = \"\",\n", " FILE_EMISSCEN_3 = \"\",\n", @@ -101,6 +133,9 @@ " FILE_TUNINGMODEL_8 = \"USER\",\n", " FILE_TUNINGMODEL_9 = \"USER\",\n", " FILE_TUNINGMODEL_10 = \"USER\",\n", + " # at least one `OUT_` variable must be set to 1 to produce output\n", + " # for this notebook, since we only plot temperature, we only need OUT_TEMPERATURE\n", + " OUT_TEMPERATURE = 1,\n", "```" ] }, @@ -108,48 +143,128 @@ "cell_type": "code", "execution_count": null, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "['rcp26', 'rcp45', 'rcp60', 'rcp85']" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ + "# NBVAL_SKIP\n", "scenario_names = list(map(str.lower, scenarios.rcps.meta[\"scenario\"].unique()))\n", "scenario_names" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "running RCP26\n", - "running RCP45\n", - "running RCP60\n", - "running RCP85\n" + "running rcp26\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", + " warnings.warn(warn_msg)\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", + " warnings.warn(warn_msg)\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/core.py:436: UserWarning: magicc logged a ERROR message. Check the 'stderr' key of the result's `metadata` attribute.\n", + " warnings.warn(\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "running rcp45\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", + " warnings.warn(warn_msg)\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", + " warnings.warn(warn_msg)\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/core.py:436: UserWarning: magicc logged a ERROR message. Check the 'stderr' key of the result's `metadata` attribute.\n", + " warnings.warn(\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "running rcp60\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", + " warnings.warn(warn_msg)\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", + " warnings.warn(warn_msg)\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/core.py:436: UserWarning: magicc logged a ERROR message. Check the 'stderr' key of the result's `metadata` attribute.\n", + " warnings.warn(\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "running rcp85\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", + " warnings.warn(warn_msg)\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", + " warnings.warn(warn_msg)\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/core.py:436: UserWarning: magicc logged a ERROR message. Check the 'stderr' key of the result's `metadata` attribute.\n", + " warnings.warn(\n" ] } ], "source": [ "# NBVAL_SKIP\n", - "results = []\n", - "for name in scenario_names:\n", + "for i, name in enumerate(scenario_names):\n", " print(\"running {}\".format(name))\n", " scen = getattr(scenarios, name)\n", " scen_results = pymagicc.run(scen, magicc_version=7)\n", - " results.append(scen_results)" + " if i != 0:\n", + " results = results.append(scen_results)\n", + " else:\n", + " results = scen_results" ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 7, "metadata": {}, "outputs": [ { "data": { - "image/png": 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czZs3k5WVJTeeL126REpKSpnL2axZM06fPs3o0aPlsIiIiBLTVahQAT8/P7Zt20bDhg1JSUnhs88+k/efOHECa2trJkyYIIcVNy+0OCdOnMDPz4/evXsDuT/yb926RY0aNTTiRUVFoVKp5N7W06dPo6OjI9d/fjVq1KBu3brcvHmzwJzJd6FKlSrUrFlT7onOm/f46NEj6tatC+TOvZTecu7oqVOnMDMzY/78+XLYzz//rBHHxsaGsLAw1Gp1ob2tbdu25dq1a2X+Jm5J2rZty549ezA1NcXU1PSd5g259X/u3Dl5hEBycjK3b9+We4nbtm3L5cuXy3xekiRx8uRJ1q9fL/9dSUlJ4d69e9jZ2cnxKlWqVGAl7vz1m7f41vnz50t13LzrVa9evQIvwwRBED5kYniwIAhCMRo3bsznn3/OsGHD2LZtG3FxcVy6dInvv/+eJUuWAODq6krr1q0ZMGAAUVFRXLp0iQEDBqCtrV1kL42+vj5jx45l5syZ7N69m1u3brFw4UKCg4OZNm1amcq4evVqmjZtWmI8R0dHtLW1+eabb+ShwZDb6GnTpg3ffPMNtra2Gj3K/v7+vHz5ksGDB3P16lVOnTrFgAEDsLe3x97evkzlnDhxIoGBgaxcuZLbt2+zefPmQlfmLczAgQM5f/48s2fPxsfHR6OBYmlpyZUrVwgODubOnTusXLmSPXv2lKls+fMKDg7m3LlzXL9+neHDh/Po0aMC8Z49e8bo0aOJjY1l3759zJw5kxEjRhTZc7lgwQL+97//sWDBAq5evcrNmzcJCgpixIgRcpxff/2Vpk2b8vDhwyLLN2fOHCZNmsSxY8dISEjgypUrTJo0iatXr/Lpp58Cufds/fr1mTNnDjdu3ODUqVOMHz/+rUcDWFpakpyczHfffUd8fDxbt27l22+/1YgTEBDA7du38fPzIzo6mjt37rB7927OnDkDwLx58wgODpYX4bpz5w4HDx5k6NChZGRkvFW5IHfoeM2aNfHx8SEsLIy7d+9y9uxZ5s+fz759+9463zza2tqMGzeOiIgILl++zIABA6hevTq9evUCYMaMGZw/f54hQ4YQHR1NfHw8YWFh+Pv7F1i9OT+FQkGTJk3Ytm0b165d4/z58xovYvJ89NFHnDx5kt9//52nT58iSRJWVlbUrl2bWbNmcfPmTY4fP05AQECpzmfcuHGkpaXRo0cPIiIiuHv3LidPnmTKlClER0e/3UUSBEF4D0SjVRAEoQQbNmxg/PjxLFiwgGbNmuHi4sIPP/xAw4YNgdwfoL/++isGBgbY29vj4+ODp6cnlpaW6OrqFpnvggULGDZsGOPGjZM/ifHjjz9qzCktjadPn3Lz5s0S4xkZGdGuXTtSU1M1Gq2QO0Q4NTW1wNDgGjVqcPjwYX7//XfatWuHj48PLVq0KNDTVhqffvopy5Yt46uvvqJVq1Zs375dbviXpFWrVrRp04aLFy8ycOBAjX0jRoxgwIABDBkyBGtrayIjIzWGD5fFN998I6+m6uLigrm5eYGVkgF8fX0xMjKiU6dOfPbZZ/j4+LB48eIi8x0wYAC7du1i7969tG/fnnbt2jFnzhyN+aspKSncvHmzyKGekPvi4cGDBwwZMgQrKyucnJw4c+YMP/74o/w5JW1tbQIDA3ny5AnW1taMHj2aBQsWFDnftCQ+Pj5Mnz6dadOm0bJlS3bu3MnSpUs14rRs2ZLw8HCSk5NxdHSkTZs2LFu2TO6JdnJy4ujRo1y+fBl7e3tatWrF+PHjMTIy0hiiW1aGhoacOnWK5s2b079/f5o0aYKvry8XL14scf5yaejo6DB79mw+//xz2rVrR0pKCvv27UNHRwfInSd76tQpkpOTcXV1pXnz5owcOZKcnJwSv8m8bds2Xr16Rdu2bfH19aVnz54ac2wB5s+fT2JiIo0bN6ZatWokJSWho6NDYGAg9+7do02bNowbN67Uz5G5uTlnzpzB0NCQbt26YWlpyYABA3j06FGB0QSCIAgfEoX0tuOFBEEQhCKlpqZSp04d5s+fz5gxY8q7OIIglNG6deuYNGkSaWlp5V0UQRCEfz0xp1UQBOEdCAkJQVtbGysrK548ecLcuXNRKBTy3EhBEARBEATh7YhGqyAIwjuQnp7OvHnzuHv3LgYGBtjY2HDq1Ckx5E4QBEEQBOFPEsODBUEQBEEQBEEQhA+WWIhJEARBEARBEARB+GCJRqsgCIIgCIIgCILwwRKNVkEQBEEQBEEQBOGD9UEvxFTYB93/CmZmZjx9+vS9HEsonKiD8ifqoHyJ61/+RB2UP1EH5U/UQfkTdVD+RB28H7Vr1y51XNHTKgiCIAiCIAiCIHywRKNVEARBEARBEARB+GCJRqsgCIIgCIIgCILwwfqg57S+SZIkXr9+jVqtRqFQvLN8k5KSyMzMfGf5CWUn6qD8iTooX+L6/zUkSUJLSwtdXd13+v8NQRAEQRDen79Vo/X169dUrFgRbe13W2xtbW0qVKjwTvMUykbUQfkTdVC+xPX/6+Tk5PD69Wv09PTKuyiCIAiCILyFv9XwYLVa/c4brIIgCMI/m7a2Nmq1uryLIQiCIAjCW/pbNVrF0C5BEAThbYj/fwiCIAjC39ffqtH6IcjIyKBnz56oVCo5bOPGjTRs2JCXL1/KYadPn2bgwIEABAYGYm5uzokTJ+T9Bw8exNzcnL179xZ7vGXLlmFjY4NSqaRz584EBQVp7F+3bh0ODg4olUq8vLzYvXs3AL6+vtjb2+Pq6kq3bt2Ii4sDcud3LV68mE6dOuHo6Mh3330nh8+cORM7OztcXV25cuVKseXatGkTs2bNkrcDAgLo06ePvP39998zc+bMYvN4U4cOHXj+/Hmh12DdunXFpk1OTmbgwIG4urrSuXNnBgwYUKZjA8TFxaFUKnFzc+Pu3btlTl+c2NhYlEolSqWS5s2bY2tri1Kp1LhmH6L169fz+vXrv/w4OTk5WFlZyduHDx/G3t6ehw8fFpnmxIkTmJubExgYKIddunQJc3NzNm7cKIdlZWXRvHlzlixZopE+OzubhQsXYmdnJ9f76tWrCy1PXFwc/fv3x87ODnd3d0aNGiV/vy0mJobu3bvj4OCAm5sbAQEBZGRksHr1arnOnZycqFevnsbfiMJ0794dHx8feTsmJqbAPeLu7k52drbG+eb/21JS/vb29nK5Dhw4UGx8GxsbUlJSSpV3frNnz+bs2bNlTicIgiAIglAYMda2jAIDA/H09NSYexYcHEzr1q05cOBAkY0QKysrQkJCcHBwACAoKIhmzZqV6pjDhg1j5MiRxMfH4+npibe3NxUrVmTr1q2cOHGCffv2YWRkRGpqqsaP0NWrV9O6dWt+/PFH5s+fz5YtW9i1axePHj3ixIkTaGlpyT+8jx49SkJCAqdOneL8+fNMnTq12AZ1u3bt+PXXX+Xt69evo1arUalUVKhQgejoaNzd3Ut1fpIk/emhe0uXLsXBwYEvvvhCLk9ZqFQqDh48iLe3N+PGjftTZSmMlZUVR44cAWDcuHG4urpqNE7KiyRJ8kI1hdmwYQOfffYZurq6pc4zJyfnTw3jDw8PZ+7cufz000+Ym5sXG9fKyorQ0FD5uSvsuQoPD8fCwoKQkBAmT54shy9atIiUlBSOHj2Kjo4OaWlpbNiwocAxMjIyGDhwIF9++SUuLi4AnDx5khcvXqBSqRg1ahTr16/H2toaSZIICQkhPT0df39//P39AThw4ABbt27F2Ni4xPNPSkrixIkT8t+K/OLj46lTpw4VK1aUz7d9+/YEBwcXGr8wa9eupUWLFqWK+7aGDBnCjBkzsLW1/UuPIwiCIAjCv4PoaS2jPXv2aDTG7t69y6tXrwgICCjQC5pf+/btuXjxItnZ2bx69Yq7d+/SvHnzMh27YcOG6OnpyT0fq1atYtGiRRgZGQFgZGRE7969C6SztbWVew63bt3K+PHj5UaKmZkZAIcOHcLX1xeFQiH3riQlJRVZlubNmxMfH09GRgYvX75EV1eX5s2bExsbC0B0dDRt27YFcnvrnJ2dcXZ2lnvAHjx4gL29PWPHjsXZ2blAj9rKlSvp1KkT3bt3586dOyVemydPnlCrVi15O6/hkr/HG2D69Olyz1yHDh1YsGAB7u7uhISEsGnTJrZt24avry8An3/+OR4eHjg5OfHjjz/KeRw7dgx3d3dcXV3l652ens6ECRPw9vbGzc2NQ4cOlVjm/FavXo23tzeurq588803ACQkJODs7MyYMWPo1KkTY8eOJTw8nK5du2JnZ8elS5cAWLJkCf/5z3/w8fHBzs6OnTt3lphv586d8ff3x8nJiaSkJAICAnBzc8PJyUmOt2HDBp49e0aPHj3o06dPgd7H4OBgJk2aBMCYMWOYMmUK3t7eLF68mFevXjFu3Dj5ehw+fLhU1yEiIoJp06axbds26tWrV2L8evXqkZqayvPnz1Gr1Zw8eZLOnTtrxAkODmb48OFUr16dCxcuAJCWlsbu3bv58ssv0dHRAcDQ0JAJEyYUOMYvv/yCra2t3GAFsLe3x8LCgu+//56+fftibW0N5A5B7datG1WrVtXIIygoiO7du5fqGowaNYqVK1cWui88PBwnJycgd47//v37WbFiBceOHSMrK6tU+Rdm0KBB8r2+Y8eOAvvT0tLo378/rq6uODs7yy+0Ll68SM+ePfHw8KB///4kJycD0KBBA5KSknj27Nlbl0kQBEEQBCHP37anVb1zI9KDhHeTl0KBJEko6n6E1mfDioyXlZXF/fv3qVu3rhwWHBxM165d6dChA3fu3CE5OZlq1aoVSKtQKOjUqRPh4eGkpqbi5ubG/fv3y1TOK1eu8NFHH2FmZkZqaiqvXr2ifv36JaY7cuQITZs2BXIb2SEhIRw8eJCqVasyb948GjZsSGJiIrVr15bT1KpVi8TERGrUqFFontra2jRv3pxLly7x+vVrPv74Yz766COio6OpWrUqkiRhbm7O5cuX2bVrF3v37kWSJHx8fPjkk08wMTEhISGBFStWYGNjo9Ezd/nyZUJCQjhy5Ag5OTl4eHjQqlWrYs9x8ODBjBo1is2bN2Nvb0+fPn2oWbNmidemSpUqcgMzPj4eAwMDRo4cCeQOS65SpQoZGRl4e3vj5eWFJEn897//Zc+ePdSrV48XL14AuY1sOzs7li9fTkpKCt7e3tjb26Ovr19iGcLCwnj48KF8jQYMGEBUVBRmZmbcuXOHdevW0bhxY9zd3dm/fz8hISHs27eP1atXyy8Bbty4QXBwMGlpabi7u+Pi4sLly5eLzDcuLo6VK1fSunVrAKZOnUq1atV4/fo1vXr1wtvbm+HDh7N+/Xr27NmDiYkJOTk5xZ7HkydPCA0NRUtLi/nz5+Pk5MSKFSv4448/8PHxwcHBodge24yMDIYPH84vv/xCw4YNS7xueby8vNi7dy8WFhZYW1tr3EsZGRmcOXOGZcuW8eTJE4KCgrC2tiYhIYG6deuWqn5u3rxZ5P138+ZN+vfvX2z6V69ecerUKZYuXVqq82nfvj379u3j3LlzBVYTPnbsGIsXLwYgMjKSRo0aUb9+fdq1aye/TCnJqFGj5Hr4+eefMTExYcWKFfK97unpiZeXF5UrV5bThIWFUadOHfnlzcuXL8nMzGTWrFls2bIFU1NT9uzZw9KlS/nqq68AaNGiRZlGXAiCIAiCIBRF9LSWwfPnzwsM7wsODqZbt25oaWnJP56L0q1bN0JCQuQ0pbVx40acnJzw8fFh7NixpU7n7++PUqkkKipKnl+alZWFjo4OBw4coF+/fkycOLHU+b2pbdu2REdHEx0djY2NDTY2NsTExGj0sp47dw4PDw/09fUxMDDA09OTyMhIAOrUqYONjU2BfCMjI/Hw8EBPTw8jIyOUSmWJZencuTOnT5/Gz8+PuLg43N3dS9XL07Vr1yL3ff/997i6utKlSxcePXpEQkICMTEx2Nrayr2AVapUAXLnV65ZswalUomvry+ZmZnFzsfM7/jx4xw7dgw3Nzfc3d25e/cu8fHxQG6PVZMmTdDS0qJJkybY2dkB0LRpU37//Xc5Dw8PD3R1dTEzM8PW1paLFy8Wm2/9+vXlBitsFMpIAAAgAElEQVTk3seurq54eHhw+/Ztbt26Vaqy5+fj4yP34B8/fpz//e9/KJVKevXqVarroaOjg7W1tcYc1dLo2rUroaGhBAUFFXiu8ubG6urq0qVLF/bv31/oUPQdO3agVCqxsbEpdoTB2zh06BC2tralGhqcZ+zYsaxYsUIj7PXr1zx79kweMp3/fLt161bsSI/81q5dy5EjRzhy5AgmJiZA7t+YvHv98ePH3Lt3TyNNs2bNCA8PZ+HChURFRWFsbCzfJ3369EGpVLJmzRoePXokpzEzMyMxMbHU5ywIgiAIglCUv21Pa3E9omWlra1dYi8SgK6uLpmZmfJ2bGwsCQkJ9O3bF8hd2KVu3boMGTKk0PTW1tbExsaip6dHo0aNSl2+vDmthw8fZtKkSURERGBkZIS+vj737t0rsrc1b05rfrVq1cLLywsAT09PeThkzZo1NX5wPn78uMSeynbt2rFt2zYyMzMZPHgwVatW5datW5iamsqN1uKUpperLKpUqcKnn37Kp59+ysCBAzl79izVqlVDkiQ5Tv76K64Mp0+f5uTJk4SGhqKnpyc3RIsiSRIbNmygcePGb1X2//znP/J9lCchIYFKlSrJ21paWvJQVi0trWLv2byVUovKN/95x8fHs2nTJg4dOoSBgQFjxowp9Fy1tLQ0ruWbCzTlz1OSJL777jsaNGhQZBkLy3/Dhg307t2bb7/9lv/7v/8rVbpatWohSRJnz55l0aJFREREyPuCgoI4f/48HTp0AHJfPJ05c4bWrVtz//590tPT0dfXp1+/fvTr1w8HBweNRdYAmjRpIg8rfpOlpSVXrlzB1dW1yPIFBwfTs2fPUp1LHkdHR5YuXcrly5flsLNnz8rnkZ2dzYEDBwgLC2P58uWo1Wpevnwpn09ZnDhxgsjISPle7969e4H6t7CwYP/+/Rw9epSFCxfi5OSEs7MzVlZWGnPb88vMzCzTXGhBEARBEISiiJ7WMqhcuTIqlUr+sR4UFMSECROIjIwkMjKS8+fPk5SUpNED9qZp06YxZcqUAuGLFi0qcSVPNzc3WrVqJa8Q7O/vz/Tp00lNTQVyhyHm7SuKh4cHp0+fBuDMmTPyMEw3Nzd+/vlnJEkiJiYGY2NjeWhwUQu82NjYcP78eZ49e4aZmRkKhYKqVaty+PBh2rVrB+TOGz106BAZGRmkp6dz8OBB+Yd3UWxtbeU0aWlp8gJGAJs3b2bz5s0F0pw6dYqMjAwgd/7dvXv3MDc3x9zcnFu3bpGZmUlKSgqnTp0q9th5UlNTMTExQU9Pj7i4OM6fPy+f89mzZ+Wh3XnDgx0dHdm8ebPcqLt69WqpjpOX9qeffiI9PR2AR48eFbqKcnEOHTpEZmYmz549IzIyktatW5c637S0NAwNDTEyMiIpKYnw8HB5n6GhIWlpaUBuo9LExIT4+HjUajUHDx4ssjydO3fm+++/l7fzrsfDhw/p169fken09fXZunUrgYGB7Nq1C4C9e/fKQ06LEhAQwPTp0zUWlEpJSeH8+fNER0fLz+i8efMIDg7G0NAQX19fZs6cKTfQcnJyCn0R4Ovry5kzZzh27JgcFhERwe3btxkyZAg//fSTPL9YkiRCQ0PlXv4//viD6OjoAqMFfH195fmfRRk7dizffvutvH3s2DF5PuuJEydo3bq1fG5RUVEolUp5qHtp8s+TmppK5cqV0dPT4+bNm/K55Pf48WMMDAzw9fVlxIgRXLlyBQsLCxITE+UGfVZWFjdv3pTTxMfHy9MSBEEQBEEQ/oy/bU9reXF0dOTcuXM4ODgQEhLCtm3bNPZ7eHgQHBwsL8zyJmdn50LD8z6JUpLx48czevRo/Pz8GDRoEOnp6Xh5eVGxYkW0tbUZMWJEselHjx6Nv78/GzduRF9fX55n5+LiwtGjR7Gzs0NPT4/ly5cDuT1T+XvX8qtcuTJVq1bF0tJSDrOxsSEqKkpeCKlly5byHEmAvn370qJFCx48eFBkGVu2bEmXLl1QKpWYmZnRpk0beV9cXJzcIM7vypUrzJgxA21tbdRqNX379pXTdenSBWdnZ+rVq1fqVVM7d+7Mtm3bcHR0pFGjRnz88ccAVK1ala+++oovvvgCtVqNmZkZO3fuZNy4ccyePRtXV1fUajV169Zl69atpTqWi4sLcXFxdOnSBQADAwPWrFlTqrR5LC0t6dmzJy9evGDSpElUq1at1Pm2bNkSCwsL7OzsMDc317i+fn5+fPbZZ9SuXZvAwECmTZuGn58fVatWpVWrVkUu/jNhwgRmz56Ni4sLarWaBg0asHnzZhITEwvM03yTqakp27dvp2fPnpiamnL37l15sbGitG/fvkDY/v37cXBwkFfahdznc8mSJSxYsIBp06bx1Vdf4eTkhKGhIXp6evTt27fAnHQ9PT1++OEH5syZw4wZM6hYsSLNmzdn3rx5VK1alTVr1jBr1ixevHiBQqHgk08+kXte9+/fj7OzM3p6enJ+KpWK+/fvlzhcWKlUajTWz507x7Rp04DcF2aenp4a8b28vAgMDKRr166lyj+Pi4sL27dvp3PnzjRq1KjQv13Xr19n0aJFKBQKKlWqxOLFi9HR0WHDhg3MnDmTtLQ0VCoVI0aMwNLSkszMTB48ePCXr1IsCIIgCMK/g0IqqkXyAcg/XBV4q6FvpVHa4cGQ2zjasGEDq1ateqdl6NevX6Grdpa3I0eOcP/+fYYOHfqXHqe0dTBw4EA2bdqkMWz2327JkiWYmpoybNifGzJflufgbeV90zj/Srwl+b//+z/mz5+PqanpX1iy9+fq1asEBQUxY8YMjfDirv+DBw+YMWMGP/zww1vn/z6FhoZy+/btQldjLi+l+f+HmZmZ/BkwoXyIOih/og7Kn6iD8ifq4P3IvwhsSUSjlbL/WN+5cye9evUqscdIKL330WD6p/o7NVqFov2Trn9ISAhOTk4l9pC/T6LR+vcg6qD8iToof6IOyt8/oQ5ysiW0KyrKuxjFKkujVQwPfgufffZZeRdBEGSTJ08u7yIIgobiVuUWBEEQBOGvlflazemjaZjXr0ST5v+MRRHFQkyCIAiCIAiCIAj/ANlZEmePvyI9XU3V6v+c/knRaBUEQRAEQRAEQfiby8mRiDyZRupLFe3sDKhaTTRaBUEQBEEQBEEQhA/ElZh0XjxV8bGtPtVrVSw5wd+IaLQKgiAIgiAIgiD8jT1IyOL3u9k0aa5D7br/vK9siEZrGWVkZNCzZ09UKhUPHjyQv7t6+vRpzM3NNT5bc/XqVczNzVm3bp0clpOTQ8uWLVm4cKFGvjk5OSxatAg7OzuUSiVKpZKVK1fK++vWrSuHK5VKVq9eXWw5ly1bho2NDUqlks6dOxMUFKSxf926dTg4OKBUKvHy8mL37t0A+Pr6Ym9vj6urK926dSMuLg4Af39/7O3tcXZ2ZsKECWRnZ8t5nT59GqVSiZOTEz179iy2XIcOHeLzzz+Xt1etWoWdnZ28ffjwYQYPHlxsHm/y9fXl0qVLBcIDAwOZPn16sWkzMjLw9/fHxcUFZ2dnunfvzqtXr8p0/GfPnuHj44ObmxuRkZFlSluS58+fy3Xepk0buU6VSmWR30j9EOzcuZMnT568l2PZ2NiQkpICwIULF7C1teX69etFxk9ISMDc3Jxly5bJYcnJydSrV49Zs2ZpxHV2dmbMmDEaYZIkyc+Pq6srrq6uzJs3D5VKVaA8iYmJjBgxAjs7Ozw8PBgwYAAJCQlA7jeH+/fvj52dHe7u7gwfPpynT5+ye/dujWfd3NycGzduFHsNxowZQ9u2beV74smTJxrPFeQuIJdXJ3nnW9rPbI0ZMwZbW1u5TFu2bCk2fvfu3bl69Wqp8s5v48aN8t8iQRAEQRBKJ+2liivn06larQJNmv0zFl560z9noPN7EhgYiKenZ6Gfu2natCmhoaH069cPgODgYJo1a6YR58SJEzRs2JC9e/cydepUFIrcpai/+uornjx5QlhYGLq6uqSlpbF+/Xo5na6uLkeOHClTWYcNG8bIkSOJj4/H09MTb29vKlasyNatWzlx4gT79u3DyMiI1NRUDhw4IKdbvXo1rVu35scff2T+/Pls2bKFTz/9VP427ejRo9mxYweDBg0iJSWFadOmsX37dszNzUtcHrxt27Yaq93GxMRgaGhIcnIyVapUISYmhrZt25b6HPMaCm9r06ZNmJmZERYWBuQ2JLS1S/9Y5OTkcOrUKZo2bcrXX3/9p8pSGFNTU7nely1bhoGBASNHjnznx3kbKpWqyM8+7dy5kxYtWlC9evVS55eTk1Oma/+mq1evMmrUKDZs2FDguXtTgwYNOHLkCBMnTgRyvytqaWmpESc2NpYKFSpw+vRpMjIy0NPTA2DLli1ERESwd+9ejI2NyczMZP369WRlZclxILdxO3ToUPz8/ORn+erVqzx9+pSaNWsycOBAvvzyS/mbtadPn+bFixf06tWLXr16yfFHjhxJ06ZNSzx/hULB7t278fPzK7AvPT2dtLQ0uT5CQ0OxsbEhKChI/ntVkjlz5uDh4VGquG+rX79+9OzZUz5/QRAEQRCKp1JJxJx5hZaWAmtbAxRaH/Znbt6W6Gktoz179uDu7l7oPnNzczIzM0lOTkaSJI4dOyb3xOYJCgpi6NCh1K5dm+joaCC3t2/79u3Mnz8fXd3ctyOGhobyD+o/q2HDhujp6cm9P6tWrWLRokXyNxSNjIzo3bt3gXS2trbcvXsXABcXFxQKBQqFgjZt2vD48WMAfv31Vzw9PTE3Nwdyv2tVnKpVq2JoaCj3NiUmJuLl5UVUVBQA0dHRtGvXDsi9Vnk9oAsWLJDzsLCwYO7cubi6uhITE6ORf2BgIJ06dcLb21u+vsV58uQJNWvWlLcbN26Mjo6ORi865PZM5/XM+fr6MmvWLDw9Pdm0aRPz58/n0KFDKJVKMjIymDJlCp6enjg5OWk0ZC9evEjXrl1xdXXF29ubtLQ0VCoVX375JV5eXri6urJt27YSy5zfrl278Pb2RqlUMnXqVNRqNTk5OVhZWTFnzhycnJzo168f58+fp2fPnnzyySdyA33Hjh0MHTqUnj17Ymdnx/Lly0uV76xZs3B1deXChQt8/fXXeHl54ezszOTJk5EkieDgYK5du8aoUaPkHuH8vY8xMTH06dMHyP3G7NixY+nWrRvjx48nJyeHOXPm4O3tjaura6l7Am/dusUXX3zB6tWradWqVYnx9fX1qV+/vtwbGBoaio+Pj0acoKAgfH196dixo8YLo1WrVrF48WKMjY0B0NHRYezYsRoNVsh9QaWvr6/RKGzRogXt2rXjl19+wdbWVm6wAjg4OGBhYVGgDN27dy/VNRg2bBjr1q0r9EXOqVOnNHpeg4KCmDt3Lvfv3ycpKalU+RcmICBAvte/+eabAvtzcnIYM2aM/Bx/9913AMTHx9OvXz88PDzo0aMHd+7cAcDAwIAaNWpw5cqVty6TIAiCIPybXL+Ywcs/1Fh30EdP/5/btPvb9rRuik4i4cXrd5KXQqFAkiQ+qqLLF21rFBkvKyuL+/fvU7du3SLjeHt7s3fvXlq0aEHLli2pVOn/jSl//fo1p06dYsmSJbx8+ZLg4GDatWsnD1c0NDQsMt/Xr1+jVCrlbX9/f7p161aq87ty5QofffQRZmZmpKam8urVK+rXr19iuiNHjhTo4cnOzuaXX35h3rx5QO6Pz5ycHHx9fUlLS2Po0KEl9pK0a9eO6OhoVCoVH330ER9//DEnT57E2dmZ69ev07p1axITE1mwYAEHDx7ExMSEvn37cvDgQTw8PEhPT8fa2prZs2dr5JuUlMTXX3/NwYMHMTIyolevXrRo0aLYsvTp04d+/fqxb98+OnXqRK9evWjYsGGJ1yY7O1vuna5SpQqXL1+WG9aTJ0+mSpUqqFQq+vTpw/Xr12ncuDGjRo1i7dq1tGnThtTUVHR1dfnpp58wMjJi//79ZGZm0r17dxwdHalXr16JZbhx4wYHDx4kODgYbW1tAgICCA4OpkuXLrx8+RJnZ2fmzJnDoEGDWL58OYGBgVy/fp3JkyfLjaWLFy8SFhZGpUqV8Pb2xtnZGW1t7WLztbW1leu/UaNGTJo0CUmSGD16NMeOHaNbt25s3ryZ+fPnl3j9Ae7cucMvv/yCrq4uW7ZswczMjH379pGZmUmXLl1wdHSUX4oUZfDgwXz77bdl6qXv1q0bISEhmJiYoKurS7Vq1Xj27Jm8f+/evfz88880btyYHTt20LVrV168eEF2dnaJ5YHc+imqAX3z5s0SG9eSJBESElLqhnu9evWwtrbm119/xcHBQWNfXr0APHjwgD/++INWrVrh4+NDaGgoX3zxRYn5z5kzR35xs2bNGpo0acLUqVOpUqUKOTk59OrVC29vb5o0aSKnuXz5Mi9evJBflOS9uAgICODrr7+mQYMGREVFMWPGDH766ScAWrduTWRkJC1btizVeQuCIAjCv9Xj37O4G5dFwyY61Kj9z1p46U1/20ZreXj+/Lncu1KULl26MGrUKOLi4ujevbtGb99vv/1Gx44d0dPTw8vLixUrVjB37twCeQQGBrJp0yZevHhBcHAw5ubmbzU8eOPGjQQGBhIfH1/iHLT8/P390dXVpW7dunz55Zca+6ZNm0aHDh3o0KEDkDtE9PLly+zatYvXr1/TpUsXPv74Yxo1alRk/m3btiU6Ohq1Wo2NjQ3W1tasXLmSq1ev0qhRI3R1dbl06RKffPIJVatWBaBHjx6cPXsWDw8PKlSogLe3d4F8L1y4oJGma9euxMfHF3uuLVq04MyZMxw/fpyTJ0/i7e1NSEiI3ONdlK5duxa5LzQ0lO3bt6NSqUhKSuL27dsoFAqqV69OmzZtAORe7uPHjxMbG8u+ffsASE1NJSEhoVSN1pMnT3Lp0iU8PT2B3BcbtWrVAnKHk+c1XJo2bYqxsTHa2to0bdqUBw8eyHk4OjpSuXJlADw8PIiKiiInJ6fIfCtVqiSHQ24P3rp168jMzOT58+e0atWqwOiCkri5ucnX+8SJE9y+fZvg4GD5esTHx5fYSOzUqRM7duzA3t4eLa3SvWV0dnbmm2++wdjYmG7duqFWq+V9MTEx1KxZk1q1amFmZkZAQAAvX74skEdYWBiLFy8mJSWF9evXY21tXdrTLlF0dDSVK1emcePGpU4zduxYhg8fTqdOnTTCY2Ji5Gc5ODhYvn+7devG1KlTS91ofXN4cHBwMD/99BMqlYrExERu3bql0Wht0KABd+7cYebMmbi4uODo6EhKSgoXLlxg2LBhcrz8vcNVq1bl999/L/U5C4IgCMK/UforNZfOZWBSpQJWrf6Z81jz+9s2WovrES0rbW1tcnJySoynq6tLZmZmsXGqV6+OtrY2J06cYN68eRqN1uDgYM6dOyc3+F68eEFERATt2rXj4cOHpKWlYWhoSJ8+fejTpw/Ozs4aP6TLKm9O6+HDh5k0aRIREREYGRmhr6/PvXv3iuxtzZvT+qbly5fz7NkzNm3aJIfVqlWLKlWqoK+vj76+vrwITnGN1nbt2rF582bUajX9+vXD0NCQ169fc+bMmVL1lOno6BQ5l/JtGBgY4OXlhZeXF1paWoSFhdG1a1eNa//6tWavvr6+fqF53b9/n/Xr17Nv3z4qV67MuHHjCqR90/z58+ncuXOZyy1JEn369CEgIEAjPCcnR6OHX0tLS97W0tLSaCDkzanOv11cvrq6unKajIwMZsyYwcGDB6lVqxZLliwp8ly1tbXl6/nmM5T/WkqSxMKFC7G3ty/VNcizaNEiJk6cyIwZMwosclYUXV1drKys+O677wgPD5dfHEDus3rjxg35Wc2b992nTx+0tbV5+PAh5ubmuLi44OLigp+fn8biZACWlpb89ttvhR67SZMmXLhwodjyBQcHl3pocJ7GjRtjYWGhMUc9Li6O+vXry/OFg4KCePHihbzgUVJSUrF/D4oSHx/Ppk2b2LdvHyYmJowZM6ZA3ZqamvLbb79x9OhRtmzZwv79+5k2bRpVqlQp8iVcZmZmiS+NBEEQBOHfTK2WOH/2FZIkYdNRH60K/8x5rPn9cwc+/wUqV66MSqUqsREyadIkpk+frtGwSk1NJTIyknPnzhEZGUlkZCQLFy4kKCgIPT09+vbty/Tp0+W8VSpVqVaHXbRokcYP1MK4ubnRqlUr+Ueqv78/06dPJzU1FYBXr16VuGLnjh07CA8PZ82aNRo9We7u7pw7d46cnBwyMjK4cOGCPC+vd+/e8tzX/CwsLEhMTOTcuXPy8NEWLVqwbds2eT5rmzZtOHv2LM+fP0elUhEUFMQnn3xSbBmtra3lNNnZ2ezdu1fed+DAARYtWlQgTVRUFH/88QeQO/z71q1b1KlTh2rVqvH06VOeP39OZmZmkY2PN6WmpqKnp4exsTHJyckcO3YMyB1G++TJEy5evAhAWloaOTk5ODo6snXrVrnBc+fOHdLT00t1LHt7e0JDQ3n+/DmQOxLg4cOHpUqb5/jx46SkpJCRkcGhQ4do27ZtqfPNyMhAS0sLU1NT0tLS2L9/v7zP0NBQYxXmunXryvMU88d7U971yHuJFBcXR0ZGBiqVqtge3AoVKvDtt98SGxsrz62Mjo5mwoQJxZ7/qFGjmD59OiYmJnKYWq1m3759hIeHy8/qpk2b5BW4/f39mTJlitzzKklSoS+zHB0dSUtLY+fOnXLYtWvXiIqKwtfXlzNnzsj3B+T2Wt++fRvIff737dtXYAqAv79/ifM9x44dy9q1a+Xt8PBwnJycgNy5vyqVipiYGPncRo4cKfdslyb/PHkv2YyMjEhKSiI8PLxAnGfPniFJEl26dGHSpElcuXKFypUrU6NGDfnvllqt5tq1a3Ka+Pj4AotiCYIgCILw/9y+/poXT1W0bKuPgeG768j5kP1te1rLi6OjI+fOnSswZyy/vIZXfgcOHMDOzg4dHR05zM3Njfnz55OZmcnkyZNZunQpLi4uGBgYoKurS69evahRI7dH+c05rU5OTkybNo3Y2FiN8KKMHz+e0aNH4+fnx6BBg0hPT8fLy4uKFSuira3NiBEjik0/ZcoU6tSpIw8r9PLyYvz48VhYWODk5ISrqytaWlr07duXpk2bolaruXv3rjz0ND+FQoG1tTWpqalUrJg7/r5t27Zs27ZN7mmtUaMG06ZNo1evXkiShIuLS5ELYOWpUaMGEydOpGvXrpiYmNC8eXN537179wqdM3z37l2mTp2KJEmo1WpcXFzw9vZGoVAwfvx4fHx8qFmzZqmHaDZv3pwWLVrg4OBA7dq15XuhUqVKrF27lhkzZvD69Wt0dXUJDAykX79+PHjwAA8PDyRJwtTUlO+//75Ux7KysmLChAn06dMHSZLQ1tZm8eLF8j1TGm3atOHzzz8nMTGRPn36yC8RSpOvqakpvXr1wsnJierVq2sMje3duzeTJk1CV1eXffv2MWHCBP773/9iYmIi914WZsCAATx69Ag3Nzcgd6jo5s2b5cZPcfT09Ni8eTM9e/bEzMwMY2PjEnvsrKyssLKy0giLiIigbt26VKtWTQ7r2LEjY8aMITk5mc8//5zXr1/j5eWFrq4u+vr6dOjQocCKxQqFgu+//55Zs2bxv//9Dx0dHerVq8fcuXPR09Pjhx9+YM6cOcyYMYOKFSvSokULebpAREQE9evXLzAsOjY2tsQVmZs3b06zZs3kBnB4eDhfffUVkNvL+uYQX29vb8aNG8fYsWNLlX+eli1bYmFhgYODA3Xq1Cn0796jR4+YOHEikiShUCjkT1B9++23TJ06lWXLlpGdnU2PHj3k5zUmJoYpU6aUqgyCIAiC8G/z7EkOt65nUqdBRerU/+d9j7UoCqmkX4Ll6NGjRxrb6enpRQ7L/DNKOzwYchc12rBhg/z5l/LWr1+/Ui/U8j7duHGDnTt3MmfOnFLFL0sdvI0xY8YwZ84ceb6rkNt7fuPGDXlRpb+6Dv6MgwcPkpiYWKZv+M6ePRs/Pz+NOZYfspKu/x9//MHUqVM1elFLkvdd6eJ6t/9M/u/axYsX+eGHHwpdifjPKs3/P8zMzEr8bJfw1xJ1UP5EHZQ/UQfl70Otg6xMNccPpVKhggIHNyO0K/69hwXXrl271HFFo5Wy/1jfuXMnvXr1eqfzKv/tPuQG0z/V36nR+m8grn9ur7CFhUWpVmcuK9Fo/XsQdVD+RB2UP1EH5e9DrANJkoiOSCfpcTadXAypbPr3HzBblkbr3/9sy8Fnn31W3kUQhD8t//dDBeFD8DYLkgmCIAjCv8G9O1kkPsymWWvdf0SDtazEQkyCIAiCIAiCIAgfqJd/qLh2MYNqNbVpaKlTcoJ/INFoFQRBEARBEARB+ACpciTOn3mFtrYC6w76BT5X+G8hGq2CIAiCIAiCIAgfoGsXM0h9qca6gz46uv/eptu/98wFQRAEQRAEQRA+UI9/z+LenSwaWepQvVbF8i5OuRKN1jLK+4SESqXiwYMHmJubs2TJEnn/8+fPqV+/vvw9wmXLlmFjY4NSqZT/paSkkJGRgb+/Py4uLjg7O9O9e3devXoFwMqVK+VvnyqVSs6fP18g/61bt2qU69WrV0yZMoWOHTvi7u6Oh4cH27dvB+DBgwc0atRIowy7d+8u9jzHjRuHra0tSqUSV1dXTp48Ke/Lzs5m4cKF2NnZ4e7uTpcuXTh69CgAHTp0wMXFBVdXV/r27cuTJ0+A3O9D5oX7+fnx/Plzjevj7OyMUqkkLCys2HLNnj2bjRs3ytv9+vVj0qRJ8vbcuXNZv359sXm8ycLCoshrsHfv3mLTxsXF4evri1KpxNHRkYCAgDIdGyAyMhInJyeUSiUZGRllTl+c8PBwuc4tLCywt7dHqVQyduzYd3qcd0mtVrN69er3cqyEhASN7xxv3boVLy8vXgaNudcAACAASURBVL58WWSaHTt2YG5uzunTp+WwvXv3Ym5uzsGDB+Ww5ORk6tWrV+CTVGlpaQQEBMjPqqenJzt37iy0PDExMXTv3h0HBwfc3NwICAiQ75HffvsNDw8P+d5ZsGABADNnzpTr3M7OTv72bnFsbGwYOXKkvB0cHKzxXGVmZuLp6VngfBMSEkrMOy9/FxcXuVz5/6a9KScnp8C3c0tr+PDh3Lt3763SCoIgCMKHJCNdzaWoDEyqVKBpy+K/O/9v8O9beupPCgwMxNPTU/7cTb169QgLC2Py5MkAhIaGFvgu5LBhwzR+EAKsWrUKMzMzuZEWFxeHtrY20dHR/Pbbbxw8eBAdHR2eP39OVlaWnC40NJSPP/6Y4OBgBg4cKIdPmjSJevXqcerUKbS0tHj27Jn8Qxigfv36HDlypEznOmPGDHx8fIiIiCAgIICIiAgAli5dSlJSEkePHkVHR4fk5GTOnDkjp9u9ezempqYsWrSIVatWMXv2bGbNmkV4eDimpqbMnz+fzZs3M3HiRPn6+Pv7l+pzH+3atSM0NJRhw4ahVqt5/vw5qamp8v7o6OhSfxs2JycHbe0/9wjMmjWLYcOG4e7uDkBsbGyZ0qtUKvbs2YO/vz89e/b8U2UpTOfOneUVWX19fZk5cyatW7d+58cpq+KuvVqtZs2aNfj7+7+zPEsjMDCQbdu2sWvXLoyNjYuNa2VlRXBwMB07dgRyG3nNmjXTiBMaGoqNjQ1BQUEaKzWPHz+eJk2ayM/q06dP2bVrV4FjJCUlMWrUKNavX4+1tTWSJBESEkJ6ejrx8fHMnj2brVu30qhRI1QqFT/++CMAX375pZzHhg0biIuLK9X5/3/s3XlclWX+//HXfTjsIiigGO67maiJu+YCuKVp5ZbZOjWplWXN17JMZ6bG9nKyvUnbHLOsRE3NPS1HVNx3cUHFHUGR/XDu3x8M909UEBrkCLyfj4ePOufc93V/zn3d9+F8zrVt3ryZuLg4GjZseMVrMTExtGvXznocHR1Nu3btmDt3LuPGjStS+T/++CP+/v5F2vaPuu+++/joo4947bXXrutxRERErifTabJpXSpOp8mtHX2wuVXMcayXUktrMf34449WggLg7e1No0aN2Lp1K5D7RXXAgAHXLOf06dOEhIRYjxs2bIinpyenT5+matWqeHrmzgxWtWrVfNtFR0czadIkTp48aa1je/jwYbZs2cJzzz2HzZZbpYGBgTz++OP/+xsmt5Xk5MmTQG5L88yZM3nllVesGIODg7njjjuu2K9Dhw4cPnwY0zQxTZO0tDRM0yQlJYXq1av/oVjCw8OJjY0FYO/evTRp0oRKlSqRnJxMZmYmcXFxtGjRAtM0efnll+nZsycRERFER0cDsHbtWu68804efPDBK5bXME2TF198ka5duzJs2DASExOvGc/p06epUaOG9TivhWj27NlWazvA/fffb7XMNWrUiL/97W9ERkYybdo0FixYwJtvvskTTzxBamoqQ4cOpXfv3kRERPDLL79YZXz//fdERkYSGRnJk08+CUBiYiKPPvoo/fr1o1+/fmzYsKHI59LhcPDXv/6V22+/ncjISCvpWb16NYMHD+bBBx+kY8eOvP7663z//ff069ePyMhIjh49CsCTTz7J888/T58+fejSpYvV2n55uXktjXnl3n///URERADwwAMPWK2FedtNmTKFixcvWi3Cl7c+vv/++0ydOhWAQYMGMXnyZPr27cuMGTM4c+YMjzzyCH379uX222+3rpVr+emnn/jkk0+YNWsWVapUueb2HTt2JDY2FofDQUpKCgkJCTRt2jTfNnPnzuVvf/sbR44c4dSpU0Duj1O7du3i2Wefte7VoKAgxowZc8Uxpk+fzj333EPr1q0BMAyDgQMHEhgYyIcffsjTTz9NgwYNAHBzc+OBBx64oozo6GgGDhxYpHPw2GOPMW3atKu+tnLlSnr27AlASkoKmzZt4s0332TevHlFKvtqUlJSGDJkCL179yYyMvKqP6qdOHGCQYMGERUVRc+ePa3re8WKFQwYMIDevXszatQo0tLSAOjUqROrVq0iJyfnD8clIiLiavt3Z3LuTA4tbvWhkp+bq8O5IZTZltYdm9K4kFwyX0wMw8A0TSoHuHHLrQUvPp+VlcWRI0eoVatWvucHDhxIdHQ0QUFB2Gw2qlevbn1JBfjss8/44YcfAPD392fOnDkMGzaMESNG8PPPP9OlSxeGDBlC/fr16datG++++y5dunSha9eu3HHHHXTs2BGAhIQETp06RevWrenfvz/z5s1j1KhR7Nu3j5tvvtn6Enw18fHx+b74v/LKK7Rv375I52fVqlX06dMHyO2+GBoaip+f3zX3W7ZsGU2bNsXd3Z1XX32ViIgIfHx8qFevHlOmTLG2mzFjBnPmzCEsLIxJkyYREBBQYJkhISHY7XYSEhLYuHGjlVDHxsZSuXJlmjZtioeHBz///DM7d+5k6dKlnDt3jn79+tGhQwcAtm/fzooVK6hdu3a+shctWsSBAwdYtWoVZ86coUePHgwbNqzQ9/joo48ydOhQwsPDue222xg2bNg1W5PS0tJo3bo1kydPBnJ/dIiMjKR///44HA4+//xz/Pz8OHfuHAMGDKBXr17s27ePf/7zn8ybN4+qVauSlJQE/P+W3nbt2pGQkMCIESP49ddfCz1+nm+++YagoCB+/vlnMjMzueOOO+jatSuQ22K8atUq/Pz86NChAw888AALFy7k448/ZsaMGUyaNAmA48ePs3DhQg4ePMjw4cP5/fffmTVrVr5yBwwYQLdu3QDYunUrq1atIjQ0FICpU6dSpUoV0tPT6du3L/369eOFF15g1qxZVhJzrS6oTqeTRYsWATBq1ChGjx5NmzZtOHr0KA888ICVTBfkyJEj/O1vf2Px4sUEBQUV6dwZhkHHjh1Zs2YNZ86coXfv3vlaNI8ePUpycjJhYWH079+f+fPn88gjj7Bv3z6aN29e6L2aZ+/evYwcObLA167Vxfvw4cOcPHnS+vy4lkGDBjFjxgyOHDlyxWsxMTFWb5JFixYRERFBw4YN8fHxYefOnTRv3vya5d91113YbDa8vb2ZN28eXl5eTJ8+HT8/P86ePcvAgQPzfUZB7o+EUVFRPP744+Tk5JCRkcHZs2f54IMP+O677/D29uaf//wn//rXvxg7dixubm7UrFmTPXv2FCkmERGRG03SWQf7dmYQWtudmnUr9jjWS5XZpNUVzp07d9Vug927d+eNN94osMXxat2Db7nlFv7zn//w66+/smbNGm6//XbmzZtHo0aNWLx4MTExMaxdu5bRo0czYcIEhg0blq8Vd+DAgTz77LNXlAu5Y2IXLFhAYmKiNXbsj3QPfuWVV3jttdc4ceJEsVpUhgwZgs1mo1mzZowfP57s7Gy++uorfvnlF+rUqcPEiROZNm0aTz/9NPfffz9PP/007u7uTJkyhb///e+88847hZYfHh7Oxo0b2bhxI3/+8585efIkGzdupHLlyrRt2xaA9evXM2jQINzc3AgODqZDhw5s3bqVSpUq0apVqysSVoB169ZZ+4SEhNC5c+drvtdhw4bRrVs3Vq1axS+//MI333xzzfPs5ubG7bffftXXTNPktddeIyYmBsMwOHnyJGfOnOH333+nf//+VK1aFcBqDVyzZg379u2z9r948SKpqan4+vpeM/bVq1ezf/9+qxU6JSWFgwcPAtC6dWuCg4OB3C7weUlns2bN8rVeDhgwAJvNRsOGDbnppps4dOhQoeW2adPGSlgh9wedJUuWALmtavHx8cVONi6959asWcOBAwesx3njx729vQvcPygoiEqVKrFw4UIefvjhYh135syZnD17lldeeYW3337bei06OtqKa+DAgUyYMIFHHnnkijLeffddFi5cSFJSElu2bCnysYsiOjqa/v37FylBhtzr8rHHHuP999/Pd+0nJCQQGBiIl5eXVW5ey/Add9xBdHR0kers8u7BpmkyZcoUNmzYgGEYnDhx4orP2JYtW/Lcc8+RmZlJ7969ad68uXXN553f7OzsfF2Xg4KCOHXqlJJWEREpcxzZJpti0vDyNmjRpuIub3M1ZTZpLaxFtLjsdnuRxlN6eXmRmZl5xfMeHh6EhYXxySefsHLlSutL+LX4+vpa3TptNhvLly+nUaNGuLm50alTJzp16kTTpk35/vvvGTZsGHPnzuXMmTP89NNPQO6Yt4MHD9KoUSN27dqF0+nEZrPx1FNP8dRTTxU4wVBR5Y1pnT59Os8++yyLFy+mXr16JCQkkJKSUmBra96Y1jx5X8br1q0L5CY6H3zwAYCVGNlsNu69996rdnG8XF7SumfPHpo2bcpNN93EJ598gp+f3zVbRgF8fEru2oHc1t/hw4czfPhwevbsyd69e7Hb7TidTmubS68bT09Pa0z05X788UcSExNZtGgR7u7utG/f/qrXXB6n08n8+fOthKI48pKGvNbVvPtg9erVeHh4WNvZbDbrsWEY+bpeXv5hmtdr4dJy86xevTrfuV+9ejUxMTHMnz8fb29vBg0adNX3arfbMU3TepyZmZnv/F2ekP7888/54r8WHx8fvvnmGwYNGkRgYGCRu9OGh4fz/PPPU6lSJevazjN37lySkpKsCc9OnTpFfHw8jRs3ZufOnda9Om7cOMaNG3fVe7VJkyZs376dyMjIK15r3Lgx27Zto0mTJgXGN2/ePN56660ivZc8Q4cO5aOPPqJ+/frWcytWrKBHjx5Abnf0devWsX//fgzDwOFw4O7uzoQJE4r9h3XOnDmkpKSwePFi7HY7bdq0ISMjI1/S2qVLF+bMmcPy5ct56qmnGDNmDN7e3nTv3r3ArsyZmZl/6H4QERFxtZ1b0km76KRTj0q4eyhhvZTGtBZDQECA1UXtco899hgvvPBCkcbDAWzYsIHk5GQgt9vxvn37qFmzJnFxcVarFMDOnTupWbMmBw4cIDU1ldjYWGJiYoiJieGJJ54gOjqaevXqERYWxuuvv24lFBkZGfm+6Bdk7NixbN68udBtHnroIZxOJ6tWrcLb25t77rmHSZMmWRNEJSYmMn/+/AL3DwkJYf/+/dYY0dWrV1uTvVzajXrRokXWl/ATJ04wdOjQq5YXHh7OsmXLCAgIwM3NjSpVqnDhwgViY2MJDw8HcmcxnjdvHjk5OSQmJhITE0OrVq0KfZ8dOnSw9jl16lS+2WFfffVVqwvqpVauXEl2djaQO741KSmJkJAQatWqZSUnCQkJRW5FS0lJISgoCHd3d37//XeOHTsGQOfOnVmwYIE163Je9+Bu3boxY8YMa/8dO3YU6Th5+3711VfWDzZxcXHFnr14wYIFmKbJgQMHOH78OPXq1StyuSkpKQQEBODt7c3evXutceF5kynl7R8cHMzJkydJTk4mIyOj0Bmmu3TpwhdffGE9zjsfGzdu5Jlnnilwv+DgYL755hteeeUVVq9eDcC//vWvK2bpvpRhGEyYMIHnn38+3/P79u0jJycn3706atQooqOjadiwIc2aNeOtt96yftQo6F596KGHmDVrlnVeTNNk/vz5JCYmMmbMGKZOnWp1nc7JyckX6549e8jIyLDGw+ZtkzcutSAeHh48/PDDfP7559Zzq1atspLW+fPnM2zYMNavX09MTAyxsbFUr16djRs3Fqn8S124cIHAwEDsdjurV6+2xs1f6tixY1SrVo2RI0cybNgwduzYQXh4OOvWrbNmCc6bmCrPoUOHCk3mRUREbkQnjmVx5GAWDZt5ElitzLYrXjc6I8XUrVs31q9fz2233Zbv+SZNmhT4RenSMa2QO8HK4cOHmTBhAqZp4nQ6iYiI4Pbbb2f79u1MnDiRCxcuYLfbqVu3Lm+88QZffPFFviUnAPr168fo0aMZN24cb731Fi+//DKdO3emSpUqeHl5MXHiRGvby8e0Dh8+nD/96U/s3r37mpMiGYbBU089xYcffkj37t0ZP348b7zxBj169MDT0xMfH598y2NcLiQkhHHjxnHXXXfh7u5OaGgo7777LpDbBXnXrl0YhkHNmjWt5YNOnz5d4EywzZo149y5cwwaNMh6rmnTpqSmplotvH379iU2NpaoqCgMw+DFF1+kWrVqhc6k2rdvX37//Xe6d+9OaGgobdq0sV7bvXv3FePtAH799VcmTZpkTUo1ceJEqlWrRnBwMLVr16Z79+40atSIFi1aFHjcS91111088MADREREEBYWZiX3TZo0YezYsQwePBibzcYtt9zC1KlTefnll3nhhReIjIzE4XDQvn37fEswFea+++7j+PHj9OrVC8jtVjl9+vQi7ZsnJCSEvn37kpqayhtvvIGHh8cV5QYGBuZLrPNEREQwc+ZMunfvToMGDfIlWMOHDycyMpKwsDDee+89nnzySfr160dISEihPQimTJnC888/z3fffYfD4aBTp05MmTKFhISEa7a+1atXj+nTp/Pggw8yffp09u/fT5cuXQrd52qtoHPnzrXGgOe5/fbbefrppxk7dizvvPMOL7/8Mp06dbLu1bwxwpcKCQnhgw8+YNKkSSQlJVnjaCMjI7nllluYPHkyo0aNslqnL50g7tLuyXkSExOL9EPWiBEjrFbM7Oxsjh07Rr169axyL58tuF+/fkRHR1OnTp0ilZ8nb7KviIgIWrVqZR3jUr/99huffvopdrudSpUq8d577xEcHMzbb7/N6NGjrR/Onn/+eerXr8/Jkyfx8/MjMDCwyHGIiIi4Wka6k20b06kc4EaT5uotdDWGWZxvGaUsb3bcPGlpaSXetROK3j0Ycifx+fTTTwvsmlaWpKSk8Oyzz/Lpp5+6OpQr6mDGjBmEhoZaiY+rjRgx4or1Nsub4twHkDt78O23335FgnYjmjx5Mvfee+8Vy1EV5r777mPGjBn/87JIRVXc819cixcv5uTJkzz44INF3mft2rX8/PPP1hqwJV1+Sfvoo48IDAy8ai+Novz9CAoK4uzZs9crPCkC1YHrqQ5cT3XgeqVZB6Zpsn5NKmdPO7itlx9+lSvObME33XRTkbdV0krxvyx+++23DBkypMBxiVJ81/sLu1xbeU5aywLdA/+7wj6blbSWDaoD11MduJ7qwPVKsw4O789k+6Z0brnVm3qNPEvlmDeK4iSt6h78BwwfPtzVIYi4XHnobSDliz6bRUSkLEm5kMPOrekEh9ip27Dok0hWRJqISUREREREpBQ5c0w2r0vDzc2gVTstb3MtpZq0Op1Oxo8fz2uvvVaahxUREREREblh7N2ZwfmkHFq29cbLW+2I11KqZ2jhwoWEhoaW5iFFRERERERuGIlnHMTtzqR2PQ9q1FS34KIotaQ1MTGRTZs2ERERUVqHFBERERERuWFkZ5lsXpeKTyUbzVt7uzqcMqPUktYvvviCkSNHlvn+2unp6dx9993k5ORw9OhRQkND862Lee7cOerUqcOLL74IwFdffcX3339faJlbt27lpZdesh6vWLGCvn370r17d3r16sXf/va3fNtHRUUxevTofM89/fTTNGjQgIsXL1rPTZo0idDQUM6dO1fo8QcPHkzXrl2JjIykX79+7Nixw3otNTWV8ePH06lTJ/r06cPgwYPZtGkTALVq1SIqKoqePXvy5z//mfT0dGu/nJwcevXqxf33358vxg4dOhAVFUVUVFS+41zNn/70JxYvXmw97tq1K1OnTrUeP/rooyxcuLDQMi519OhRevbsWeA52Lp1a6H7x8bG0r9/f6KioujWrRtvv/12kY+dZ/78+XTr1o3BgwcXe99rmT17tnVu69atS0REBFFRUUyZMqXEj1VSkpKS+Oqrr0rlWKtXr+bhhx+2Hr/66qvcd9991lqfV/P6668TGhrK0aNHrec+/vhjQkND812/W7duJTQ0lNWrV+fb/9SpU4wePZqOHTvSp08f7rjjDpYsWXLVeJYuXUqfPn3o0aMHUVFR+ZaZmT17Nj179iQiIoLevXtby1Q9+uijVp23a9fuirWcL+dwOAgNDc1X9vvvv5/vvjp+/DgjR47M934v/2wprPy8z4W8fwkJCQVuf+jQoauuf1wUQ4cO5cKFC39oXxEREVfZsTmNjHSTW9v7YHcv23lRaSqV2YNjY2Px9/enfv367Ny5s8Dtli1bxrJlywB47bXXCAoKyvf6qVOnrtuaiUUt9/vvv+f222/H09MTNzc3ateuzYoVK6wkdeHChTRp0gSbzYbdbs/3pbQgbdq0oU2bNgDs3r2biRMnMnPmTBo1akROTg5ff/21Fd++fftwOp2sX7+ezMxMfH19AbDZbNSrV49ly5YxePBgnE4na9eupUaNGri5uRX6/gzD4KOPPqJVq1bMmjWLf/zjH1ai/X//93/Url2bdevWYbPZiI+PZ9++fdjtdry8vFi5ciUAo0ePZubMmYwaNQqAf/3rXzRu3JiUlBTr2DabjcmTJzNgwICrxnF5jO3bt2fTpk3079+fc+fO4evry+bNm63tYmNjef3114tUdw6Hw1oG42rbG4ZxzfM0btw4PvvsM5o3b05OTg5xcXFFvm5M08Q0TWbPns0777xD+/bti7Rfcdx7773ce++9AISHh/Pjjz8SGBhYrDKux/3lcDgKLPfixYt88803RbpPilpmQdzc3DAMA7vdzptvvsnWrVv55ptv8PIqeBFvm81Gs2bNmD9/PmPHjgVy7/HGjRtjt9utGObNm0f79u2ZN2+e9cOIaZo8/PDDjBw5ks8++wyA+Ph4li9fjt1uzxfPzp07eemll5g5cyYNGjTId98vWbKEL7/8kjlz5lCtWjUyMjKYM2cOdrudGTNmWLG++OKLBAcHX/O8eHt7W++nSpUq2Gw26/MK4Ndff6Vnz57W4+joaFq2bMnSpUsZMmTINc9zpUqVrM+Fa7Hb7dY5KK67776bmTNn8uSTTxZpe09Pzyv+plwtnmttI9eX6sD1VAeupzpwvetVB4f2p3DscDKt2lahUdPifUer6Eolad27dy8bN25k8+bNZGVlkZ6eznvvvWd9CcwTGRlJZGSk9fjy9ZEyMzOvy9qoxVkfcc6cOXzwwQc4HA5ycnLw9vamYcOGxMbG0rJlS+bOnUv//v05deoUDoeDt99+G19fX0aNGsXgwYNp3bo1a9eu5fz587z99tu0b9+etWvX8vHHH/PVV18xbdo0xo4dS7169ayYRo4caf3/Dz/8wN13383+/ftZuHAhd955J5A7ydUdd9zBTz/9xKBBg/jtt98IDw9n5cqV5OTkFPr+TNO0tmndurX1/g4fPsymTZuYNm0aTqcTp9NJaGgooaGhVnl5/23bti27d+/G4XBw/PhxlixZwtixY/n000+tbZxOZ4GxXK0OWrduzT/+8Q8cDgfr1q0jMjKSlStXkp2dzdGjR/Hy8qJq1apcvHiRCRMmsG3bNtzc3Jg8eTKdO3dm9uzZLFq0iNTUVJxOp9Wa5HA4SE9P55lnnmHXrl00bNiQ9PT0a56ns2fPEhgYaG3ToEGDK+oYoGfPnnz55ZcAjBgxgtatW7N9+3YGDBhATEwMTz/9NL169eLBBx9k7NixpKWlAfDKK6/Qtm1bAD744AN+/PFHDMOgZ8+evPDCCxw+fJgXX3yRxMREvL29efPNN2nYsOE16xRyW8xffPFF9u/fT3Z2Nn/5y1/o1asX//73v1mxYgUpKSkcPnyYMWPGkJaWxk8//YSXlxdff/01/v7+DBo0iLCwMP7zn//gdDp55513aNmyZaHlLlu2jAsXLmCz2fj88895+OGHuXDhAjk5OTz33HNERUXx97//nQMHDtCjRw969OhBly5d+OKLL5g+fToAzz33HO3atePuu++mTZs23H333axatYonn3yS5s2bM3HiRM6dO4ePjw9vvvkmDRo0KLD+cnJyME2Tf/7zn6xZs4aZM2de8953Op307duXhQsXMmbMGA4cOGAleg6HA4fDgdPpZMGCBXz33XfceeedpKWl4eHhwapVq/D19eWee+6xjhEaGsr9999vfX6YponD4eC9997jmWeeoU6dOlfc91OnTmXSpElUrVrVStaHDx+eL26n08n8+fP56aefCn0/DocDd3d3hg0bxieffMJf/vIX697O22/FihU8//zzOBwODhw4QHZ2Ni+88AKffvqp9XlTWPmX/jfP4cOHGTduHKmpqdhsNqZMmcKtt96Kw+GwzsHu3bt59tlnyc7OxjRNPv/8c+rUqcN3333Hl19+SVZWFuHh4fzjH//AZrMRFRXF0KFDr+h1UpDMzMxrrrmntRFdT3XgeqoD11MduN71qIP0NCe/r0ohoKoboXWdqmNuwHVaR4wYwYgRIwDYuXNnvlaLP2r16tWcOXOmJMLDMAxM0yQ4OJjbbrutwO2ysrI4cuQItWrVyvf8wIEDiY6OJigoCJvNRvXq1Tl16tRVy3A4HPz8888sX76cd955h9mzZ+d7fe/evTz22GMFxjBv3jy+/fZb4uLimD59er4vkfXr12fJkiUkJycTHR3NXXfdVeQWjzwrV66kd+/eQG6rbvPmza/5Q4HD4WDlypV0794dgMmTJzNx4sSrdid8/fXXmTp1Kp07d+aFF17A07PgRZTDwsLYu3cvWVlZxMbG0qFDB+Lj49m/fz87duywWqe/+OILDMNg+fLlxMXFcc8997BmzRoAtm/fzrJly6hSpUq+Lp5fffUV3t7e/Prrr+zatYs+ffpc89w8+uij3HbbbXTs2JHu3bszZMiQQlvpILf749SpU61Y165dy0svvUTLli1JT09n1qxZeHl5cfDgQR5//HEWLVrEihUr+OWXX1iwYAHe3t4kJSUBWDNv169fn02bNjFhwoRrdj3P8+6779KjRw+mTp1KcnIy/fv3t671vXv38ssvv5CRkUHHjh2ZPHkyS5YsYeLEifz4Uoc5NQAAIABJREFU44889NBDQO71v3TpUn777Tf+8pe/sHTp0kLL3bFjB0uWLCEgIIDs7GymT5+On58fZ8+eZeDAgURFRVnJ+NKlSwGu6F57ucDAQKt77eDBg3nrrbeoW7cuGzZsYOLEicyaNavQ/WNiYti/fz+LFi3C27to40gqV65McHAwcXFxzJs3j4EDB+br0hwTE0ODBg2oU6cObdu2te6hvXv30qJFiyIdY+/evYwbN+6qr+3bt4+wsLBC91+7di033XQTderUKdLxHn74YXr16mX90JLH4XAQHx9vJf/R0dEMHDiQTp068cwzz3Du3DmqVq1aaNkXL160uvzWrVuXzz77jOrVq1vXelxcHE8//TQLFizIt9+XX37JY489xsCBA8nMzMQ0Tfbs2cPixYuJjo7Gbrczfvx4oqOjufPOO6latSqpqamcP38ef3//Ir1vERERVzBNky3r03DmmLTu4IPNpm7BxVUqSWt5ce7cOSpXrnzF8927d+eNN94gODiYO+64o9Ay+vXrB+QmZMeOHSvW8bdu3UrVqlUJDQ0lJCSEZ555hqSkJKpUqZKv/OjoaDZv3pxvrO21PPHEE2RnZ5OammolBdeSkZFhfTlt374999xzD0uXLiUoKIiwsDDWrl2bb/sJEyZQrVo1srKyGD9+PB9++GGBX9Qhtztf48aN2b59O7GxsYwePZr4+Hg2btzIjh07rFbJDRs2WIlVw4YNqVmzJgcPHgTgtttuy3d+8sTExFhdUm+++WaaNWt2zfc7btw47rzzTn799Vfmzp1LdHQ0c+bMKXSfmjVrWgnr5bKzs3nxxRfZtWsXNpvNinnNmjUMGzbMSqqqVKlCamoqsbGx+X7QKGws5uV+/fVXVq5cyfvvvw/ktjrljTXs3LkzPj4+VK5cGV9fX6tOmzZtasUEMGjQIAC6dOlCYmIiqamphZbbrVs3AgICgNwP6ylTprBhwwYMw+DEiRPXHGt9NXn31/nz59m8eTOPPvqo9VpOTs41969Xrx6JiYn89ttvRfqh4tLjRkdHs3TpUn744Yd8SevcuXMZOHAgkPsD1ty5c60ffi713HPPERsba3XPLUnR0dFW/RRFXuv5jBkz8s0zsHHjRsLDw/OV+/XXX+Pm5kafPn1YsGBBvnHqV1OpUiXrR4g8mZmZTJw4kV27duHm5kZ8fPwV+4WHh/Pee++RkJBA3759qVevHmvWrGHr1q3WWN2MjAxq1Khh7RMYGMjp06eVtIqIyA3t0L5Mzp5yEBbuTSW/ku81WhGUetLavHlzmjdv/j+XU1iLaHEVtXuwl5cXmZmZVzzv4eFBWFgYn3zyCStXriw06fPwyJ3W2s3N7arHzEvSrnaO5s6dS1xcnDUe8uLFiyxcuNAaxwi5X6779OnDkCFDsNmKPs/W+++/T1hYGC+//DIvvfSSNSZ1165d5OTkXLW11cvL64ovpxs3bmTJkiWsWLGCzMxMUlJSePLJJ5k2bRrVq1cHcpPRYcOG8fHHH18zrrZt2xITE0NqaioBAQG0adOGGTNmsGPHjnyTxRTEx8eniGegaOrWrUvdunW59957CQsL49y5c7i5ueF0Oq1tLr1GCjv+Z599RnBwMEuXLsXpdFK/fv0Ct3U6nVSuXPmK811Ued0t69atm+/5mJgY65qE3F4HeY/zusBe+tql8nooFFTupS2Zc+bMISUlhcWLF2O322nTpg0ZGRlXxGm32ws8l/D/z6dpmlSpUqXY56NatWpMnTqVYcOGERAQQIcOHYq0X69evejWrRvh4eHWOHLI/eFh0aJFVs8Jp9PJhQsXSEtLo0mTJixfvtza9vXXX+f06dNX7WLbuHFjtm3bdtXu3o0aNWLbtm0Fxpqdnc3ixYv5y1/+UqT3kuexxx6jX79+3H333bi7uwPk6zGxY8cOjhw5Yo1jzcrKon79+tdMWq/mk08+4aabbmLatGlkZ2fTuHHjK7YZPHgwbdq0Yfny5YwcOZK3334b0zQZNmwY48ePv2q5GRkZ1+ztICIi4koXknPYvS2D6jfZqV1fy9v8UVrJthgCAgLIycm56pftxx57jBdeeOGqrXrFMXr0aKZNm8aBAweA3GTlq6++ssasLV++nJiYGGJiYpg+fTpz587Nt3/NmjV57rnneOCBB64oe+jQoZw4caLAYxuGwf/93/+xadMm4uLiqFu3LmFhYbz11luYpgnkzsCbN1nW1UyYMIHY2FhiYmL48MMP6dy5M9OmTQOwukybpsnixYtp2rQpAJs3b+aJJ564annh4eF888033HzzzQA0a9aMTZs2kZCQYO3frl07fvrpJwAOHDhAQkJCoWMbIbdlOO/c7dmzh927d1uvjR07ls2bN1+xz7Jly6zzcOjQIWw2G/7+/tSqVYvt27cDud2Rjxw5Uuix81y4cIFq1aphs9n44YcfrJbC2267jdmzZ1uzMSclJeHn50etWrWsFjrTNAud1Oxy3bt3t8aJAtecuflq5s2bB+R2RQ0KCsLHx6fI5V64cIHAwEDsdjurV6/m5MmTQG6rXGpqqrVdzZo12bdvH1lZWSQnJ/P7779ftbyAgACqV6/OokWLgNz7JO98LFiwgDfeeKPA99GwYUM+++wzHn/8cXbt2gXkjicu7McmX19fXnzxxSuu09WrV9OyZUs2btxITEwMGzZsICoqil9++YVu3bqRkpLCzJkzre0vnWH7UmPGjOGdd97h0KFDQG6rcV5r7pNPPsnLL79sDYfIzMzM1w161apVNGvWzPpRCCAhIcEaklGQqlWr0qdPH7777jvrud9//50uXboAuT+SjR8/3vq82bRpE0eOHOH48eNFKv9SKSkpVKtWDcMw+P7776376FLx8fHUq1ePRx55hIiICHbv3k3Xrl2ZP3++1Sp/7tw5qyU/JyeHpKQkrf0tIiI3rJwck03rUnH3MGjZ1qfMr6LiSkpai6lbt26sX7/+iuebNGnC0KFD/+fyb775Zv7617/y+OOP061bN3r27MmRI0eIiYkhJCSEkJAQa9sOHTqwf//+K8bP3nfffVe0fDmdTg4fPmx11yyIt7c3f/7zn/noo48AeOuttzh79iydO3emZ8+ejBs37g/PpvbEE08QERFBREQESUlJPPXUU0DuF+yCWkvCw8OJj4+3utjmzebWsmVLqyX5gQcewOl0EhERwejRo3n33XcLHSsLcP/995Oamkq3bt1466238o0Z3L17d74EIM8PP/xA165diYqKYuzYsbz//vu4ubnRr18/kpOT6dGjBzNmzCi0xfRSDzzwAHPmzCEyMpK4uDirFbFHjx706tWLvn37EhUVZbVIv//++3z77bdERkbSo0ePInfjBnjmmWdIT08nIiKCHj16/KHleux2O1FRUbz00ku8+eabxSp38ODBxMbGEhERQXR0NPXq1QMgODiYFi1aEBERwZQpU6hduza9e/emR48ejBkzptAxoR9++CFff/21dT7yfkw5fPgwfn5+hb6XW2+9lTfffJMHH3yQo0ePsnv3bqpVq1boPnfeeSe33HJLvufmzp17xTIz/fr1Y+7cuRiGwfTp01m9ejUdOnSgf//+PPvss0yYMOGKsm+55Rb++te/MmrUKLp3705ERISVnPXq1YuRI0cydOhQevToQd++ffMl+vPmzbuia/DJkyeLNGnd6NGjSUxMBOD06dP4+fnh4+ODaZrMmzcvXxdqwzDo06cP8+bNK3L5eR588EFmzZpFZGQkR44cyde6n+enn36ylvs5dOgQd911F82aNeOZZ55h2LBhREZGMmLECCt537JlC23bti1WjxIREZHStGd7BinnnbRs64Onl/5e/S8M82o/ed8gjh8/nu9xWlpaiXf3hOLNHrx9+3Y+/fRTq/WwrNizZw/ffvstf/3rX10dyhVefvllhg4dSpMmTVwdCikpKTz77LPWOpgVSWH3waBBg3jllVeuSNpuRGPGjOGVV1655oRBeUzTZOTIkflaRF2hOJ9D1/LZZ59Rv359IiIiirzP7NmzSUpKumJyppIqv6S98MILDBgwgI4dOxZp+6L8/dCMna6nOnA91YHrqQ5cryTq4OypbP6zKpU6DTwICy/5/KU8KM7swUpaKf6XxW+//ZYhQ4Zcl+V3KqqS/MIuf0x5SVrLKt0DxfPvf/+7WF2UlbSWDaoD11MduJ7qwPX+1zrIynLy6+IU3OwGt/Xyw25Xt+CrueGWvClvhg8f7uoQRErV5WOnRVytOAmriIhIaTFNk+0b08nMMOkS6auEtYSoc7WIiIiIiEgJSIjP5vjRbJrc4kVAVbUPlpQylbTewD2ZRUTkBqa/HyIicr2lpTrZvimNKkFuNGxa+KSgUjxlKmm9fN1IERGRa3E4HJplWERErivTabI5JhVMuLW9D4ZN3YJLUplqs/by8iIjI4PMzMwSXefI09OTzMzMEitPik914HqqA9fS+b8+TNPEZrMVuKyWiIhISTiwN5NzZ3Jo1c4Hn0qarLWklamk1TAMvL29S7xczdLmeqoD11MduJbOv4iISNl0PsnBnh0Z1KjpTs267q4Op1xSfykREREREZE/IMdhsmldGp6eBmHh3iXaG1T+PyWtIiIiIiIif8DubelcvOCkVTsfPDyVWl0vOrMiIiIiIiLFdPpENof2Z1GvsSfBIeoWfD0paRURERERESmGzEwnW9an4VfZRrMwTfZ3vSlpFRERERERKSLTNNm2MZ3sLJPWHXxxc9M41utNSauIiIiIiEgRHT2Uxclj2TRt4YV/FS1vUxqUtIqIiIiIiBRB6sUcdmxOJ7CanfpNPF0dToWhpFVEREREROQanE6TzevSMAxo1c5Hy9uUIiWtIiIiIiIi1xC3O5OkxBzCwn3w8VUaVZp0tkVERERERAqRlOhg384MQuu4E1rbw9XhVDhKWkVERERERArgyM7tFuzlbdDiVm9Xh1MhKWkVEREREREpwM4t6aRedNKqvS/uHkqfXEFnXURERERE5CpOJmRz5GAWDZt6ElTN7upwKiwlrSIiIiIiIpfJSHeydUMalQPcaHKLl6vDqdCUtIqIiIiIiFzCNE22bkjD4TC5tYMPNjctb+NKSlpFREREREQuEX8gi9MnHNzc0hs/fzdXh1PhKWkVERERERH5r+SkLHZuSSc4xE7dhlre5kag0cQiIiIiIiKAM8dk9YpTuLkZtGrng2GoW/CNQC2tIiIiIiIiwN6dGSSeyaRlW2+8vJUq3SjU0ioiIiIiIhVe4hkHcbszadSsMjVqKmG9kag2RERERESkQsvOMtm8LhWfSjbadwlydThyGSWtIiIiIiJSoe3YnEZGusmt7X1w91CKdKNRjYiIiIiISIV1/EgWxw5n0+hmT6oEafTkjUhJq4iIiIiIVEjpaU62xaYTUNWNRjd7uTocKYCSVhERERERqXBM02TL+jScOSatO/hgs2l5mxuVklYREREREalwDu7L5OwpB81be1PJz83V4UghlLSKiIiIiEiFciE5hz3bMqgeaqd2fQ9XhyPXoKRVREREREQqjJwck03rUnH3MGgZ7oNhqFvwjU5Jq4iIiIiIVBh7tmWQct5Jy3Y+eHopHSoLVEsiIiIiIlIhnDmZzcF9mdRt6EH1Gu6uDkeKSEmriIiIiIiUe1mZTrasT6NSZRvNWnq7OhwpBiWtIiIiIiJSrpmmybaN6WRmmrRu74PdrnGsZYmSVhERERERKdeOHc7mxLFsmt7iRUBVu6vDkWJS0ioiIiIiIuVW6sUctm9KIzDYjQZNPF0djvwBSlpFRERERKRccjpNNq9LwzCgVXtfDJu6BZdFSlpFRERERKRcitudSVJiDi3a+ODjq9SnrFLNiYiIiIhIuZOU6GDfzgxCa7tTs46Hq8OR/4GSVhERERERKVcc2bndgj29DVq00fI2ZZ2SVhERERERKVd2bkkn9aKT1u19cPdQylPWqQZFRERERKTcOJmQzZGDWTRo6klQNXdXhyMlQEmriIiIiIiUCxnpTrZuSKNygBtNb/FydThSQpS0ioiIiIhImWeaJls3pOFwmNzawQebm5a3KS+UtIqIiIiISJkXH5fF6RMObm7pjZ+/m6vDkRKkpFVERERERMq0lAs57NyaTnCInboNtbxNeaOkVUREREREyixnTu7yNna7Qat2PhiGugWXN0paRURERESkzNq7M4PzSTmEhXvj5a30pjxSrYqIiIiISJmUeNpB3O5Matf3oEZNdQsur5S0ioiIiIhImZOdZbI5JhXfSjaat/J2dThyHSlpFRERERGRMmf7pjQy0k1ad/DB7q5xrOWZklYRERERESlTEuKzSIjPpnFzL6oE2l0djlxnSlpFRERERKTMSEt1si02jSqBbjRs5unqcKQUKGkVEREREZEywXSabFmfhmlC6w4+2GzqFlwRKGkVEREREZEy4cC+TBJPO7iltTe+ldxcHY6UEiWtIiIiIiJywzuf5GDP9gxCarpTq56Wt6lIlLSKiIiIiMgNLcdhsmldGh4eBmHh3hiGugVXJEpaRURERETkhrZ7WzoXLzhp1d4HT0+lMBWNalxERERERG5Yp09kc2h/FvUaeVAtxN3V4YgLKGkVEREREZEbUmamky3r0/CrbKNZmLerwxEXUdIqIiIiIiI3HNM02bYhnewsk9YdfHGzaxxrRaWkVUREREREbjhHD2VxMiGbpi288K+i5W0qMntpHCQrK4vJkyfjcDjIycmhQ4cODB06tDQOLSIiIiIiZUxqSg47NqcTWM1O/Saerg5HXKxUklZ3d3cmT56Ml5cXDoeDSZMm0apVKxo3blwahxcRERERkTLC6cxd3sZmGLRu76PlbaR0ugcbhoGXlxcAOTk55OTk6OITEREREZEr7N+VSfK5HFqEe+Pto9GMAoZpmmZpHMjpdPLcc89x8uRJevfuzciRI6/YZtmyZSxbtgyA1157jaysrNIIDbvdjsPhKJVjydWpDlxPdeBaOv+upzpwPdWB66kOXK+i18Hpkxks/PEY9Rv5cVtUdZfEUNHroLR4eHgUedtSS1rzpKam8tZbb/HQQw9Ru3btQrc9fvx4qcQUFBTE2bNnS+VYcnWqA9dTHbiWzr/rqQ5cT3XgeqoD16vIdeDINvl1SQqm06Rb78q4e7imZ2ZFroPSdNNNNxV521Jvb/f19aV58+Zs2bKltA8tIiIiIiI3qJ2b00m76KR1B1+XJaxyYyqVpPXChQukpqYCuTMJb9u2jdDQ0NI4tIiIiIiI3OBOHMviyKEsGjbzJDC4VOaKlTKkVK6IpKQkPvjgA5xOJ6Zp0rFjR9q0aVMahxYRERERkRtYRrqTrRvS8a/iRpPmXq4OR25ApZK01qlThzfeeKM0DiUiIiIiImWEaZpsWZ9GTo5J6w4+2NzULViupDmkRURERETEJQ7tz+LMSQfNW3rjV9nN1eHIDUpJq4iIiIiIlLqU8zns3ppOtRp26jQs+vInUvEoaRURERERkVKVk2OyaV0qdneDVu18MAx1Cy5J5oVkzAtJrg6jxGhqLhERERERKVV7t2dwIdlJ2y6+eHqpHa0kmKYJe7Zhrv4Fc/M6jJ63Ywz9k6vDKhFKWkVEREREpNScPZXNgb2Z1GngQUiou6vDKfNMpxO2rse54Fs4chB8KmH06IfRtberQysxSlpFRERERKRUZGU52RyThq+fjZtbebs6nDLNNE3YGoMzehYcOwTBIRgPPInR7jYMD09Xh1eilLSKiIiIiMh1Z5om2zemk5lh0iXSF7td41j/CNM0YUcszuh/Q3xcbrL60NMY7bthuJXPGZiVtIqIiIiIyHWXEJ/N8aPZNG3hRUBVpSHFZZom7NqCM3omHNoHgdUwHhyL0aFHuU1W8+hqERERERGR6yotNYftm9KoEuRGw6blq+tqaTB3b8U5798QtxuqBmPc9zhGpwgMe8VI5yrGuxQREREREZcwnSab16WBCbe298GwqVtwUZn7duYmq3u3Q0Agxr2jMDpHYbhXrAmslLSKiIiIiMh1E7cnk3Nnc2jV3gefSuW7G2tJMY8cwPnjV7BzM/hXwRj+Z4zbemG4e7g6NJdQ0ioiIiIiItdF8jkHe3dkcFMtd2rWqVitg3+EeeYk5txvMNevBl8/jCEPYXTvV+5mAy4uJa0iIiIiIlLiHA6TTevS8PQyaBHujWGoW3BBzAvJmAtmY67+BdxsGP2GYPS+C8PH19Wh3RCUtIqIiIiISInbtSWd1BQnHbv74uFhc3U4NyQzIw1zyVzMJdGQnYnRtRdG/+EYAVVdHdoNRUmriIiIiIiUqFPHs4k/kEX9Jp4EVVe34MuZzhzM35djzv0GLiRjtOmMMWgkRkioq0O7ISlpFRERERGREpOZ4WTL+jQq+9to2sLL1eHccMx9O3DO/hccOQgNm2F7YiJGvcauDuuGpqRVRERERERKhGmabFmfhiPb5NYelXBz0zjWPObZUzjnzIDYtVA1COPRv2C07aqxvkWgpFVEREREREpE/IEsTp9w0Ly1N37+Wt4GwHQ4MJdGYy6YBRgYA0dgRN2J4VmxZwQuDiWtIiIiIiLyP0u5kMPOLekEh9ip16hirid6OTNuF85vPoKEeGjVAdvwRzECg10dVpmjpFVERERERP4nzhyTzevScHMzaNXOp8J3eTVTL2L+8AXmmiVQNQjb4y9itGrv6rDKLCWtIiIiIiLyP9m7M4PzSTmEd/bBy7tiL29jbtuA86sPICUZo9edGAOGY3h5uzqsMk1Jq4iIiIiI/GGJZxzE7c6kVj0PatSsuN2CzbRUzO/+hfn7cgitg+3JlzDqNHB1WOWCklYREREREflDsrNMNq9LxaeSjVtaV9zWRHPnZpxfToPkcxh9B2MMuAfDXevTlhQlrSIiIiIi8ods35RGRrpJ556+2N0r3jhWMzsL84cvMZfPh5Ca2Ca8oTVXrwMlrSIiIiIiUmzHDmeREJ9N4+ZeVAmqeGmFeeIozk/fgmOHMCIGYNx1P4aHlrG5Hire1SUiIiIiIv+T1Is5bI9No2qQG41urliJmmmamL8txfz2M/DwzB27GtbW1WGVa0paRURERESkyJxOk03/SQMDWnfwxWarON2CzbRUzK8/wNz4GzRrie3hcRgBVV0dVrmnpFVERERERIps744Mks/l0KaTDz6+FWd5GzMhHueHr8LZk7ldgXvfhWGrOO/flZS0ioiIiIhIkZw9lU3c7kxq1/PgploVZ3kb57pVmF9/AN4+2J79B0bj5q4OqUJR0ioiIiIiIteUlelkc0wavn42mt9aMZa3MbOzMb/7HHPVQmjcHNufx2P4V3F1WBWOklYRERERESmUaZps2ZBGVqZJl66+2O3lfxyrmXwO50evwsG9GL0GYdx5P4Zd6ZMr6KyLiIiIiEih4g9kcSrBwc2tvPCvUv5TCDM+Duf7/4C0i9geG48R3sXVIVVo5f+KExERERGRPyzlfA47t6QTHGKnfuPyv7xNxu8rcL73d6hUGdtzr2PUru/qkCo8Ja0iIiIiInJVOTkmsf9JxW43aN3eB8Mov92CTacTc8Fszs+fBQ2aYhszAaOyxq/eCJS0ioiIiIjIVe3akk7KeSftb/PF06v8Lu9iZmZizpiKGfs7Xt37kjX0EQx3d1eHJf+lpFVERERERK5wMiGbw3FZ1G/sSbUa5TeBM8+dxfnBP+DoQYzBD1F5xCMkJia6Oiy5hJJWERERERHJJyPdyZb1aVQOcKNpmJerw7luzIN7cX44BTIysD0+EaNl23LdBbqsUtIqIiIiIiIW02myaV0azhyTWzv64OZWPpM4Z8yvmF+8BwFVsY37O0ZoHVeHJAVQ0ioiIiIiIpb9uzNJPO2gVTtv/Cq7uTqcEmc6nZjRMzEXfg+Nm2MbNQHDr7Krw5JCKGkVEREREREAzp52sHdnBjXruFOzroerwylxZkY6zs/fgS0xGF17YYx4DMNefsfrlhdKWkVEREREhMwMJ5vXpeJbyUaLNuVveRsz8TTO91+BhCMYwx7BiBhQ7t5jeaWkVURERESkgjNNky3r08jKNOnS1Re7e/lK5sy4XTg/fBUcDmxjJ2HccqurQ5JiUNIqIiIiIlLBHdybyekTDlq08ca/SvlKEZxrl2N+/QFUDcb2xEsYNWq6OiQppvJ1RYqIiIiISLEknXWwe1sGNWq6U6dB+RnHajqdmHO/wVw0B5qGYRv1HIavn6vDkj9ASauIiIiISAWVleUk9j+pePnYaNnWu9yM8TQzM3FOfxc2rf3vhEujMOxKfcoq1ZyIiIiISAVkmiZbN6STkW7SOcIXdw+bq0MqEWbyudwJl44cwBjyMEbUwHKTjF8uOzubCxcucP78eetf3uOmTZvStm1bV4dYIpS0ioiIiIhUQIfjsjh5LJubW3pRJbB8pAXmkYO5CWvaRWxjXsBo1d7VIf1PTNMkLS2NCxcukJycnC9BvXDhAqmpqfm29/DwwN/fn6pVq+Lv7++iqEte+bg6RURERESkyM4nOdi1JZ1qNezUb+Lp6nBKhLklBue/3gafStjGv4ZRu76rQyoSh8NBSkrKVVtLz58/j8PhyLd9pUqV8Pf3p06dOvj7++Pv70/lypXx9/fHy8urXLYqK2kVEREREalAHNkmsWvT8PA0aNW+7K/Hapom5tK5mHO+gNoNsD0xESOgqqvDspimSUZGxhXdePP+Xbx4Md/2drvdSkRr1aplJab+/v74+flhr4BjcyveOxYRERERqaBM02RbbBqpqU469aiEp2fZHsdqOhyY//4Yc80SaNMJ20PjMDxLv+XY6XTmay29vDtvVlZWvu19fHzw9/enZs2a+VpK/f398fEp+z8klDQlrSIiIiIiFcSRg1kkxGfT5BYvAoPLdipgpl7E+fFrsGcbRr+hGANHYNiuXxLucDisZDQ5OZnz589b/01JScE0TWtbm81xG4r0AAAgAElEQVRmJaE1atTI11pauXJl3N3dr1uc5VHZvlJFRERERKRIzic52LEpneAQO41uLtvjWM3Tx3FOexnOnMJ46GlsnXqWTLmmSVJSEgcPHsyXmCYnJ5OSkpJvWy8vL/z9/QkJCaFJkyb5WksrVaqk1tISpKRVRERERKScy876/+NYW5fxcazmvh04P3wVDLA98zJG4+Z/rJz/JqgnT57k7NmznDlzhjNnzuTryuvp6UlAQAA33XQT/v7+BAQEWP+8vLxK6i3JNShpFREREREpx3LXY00jLW8cq1fZHcfq/H055tcfQHAItidfwqhWo8j7Zmdnc+LECevfqVOnyMzMBHInPwoKCqJJkybUrVsXLy8vAgIC8Pb2vl5vRYpBSauIiIiISDl2aH8WJ/67HmvVMjqO1XQ6Med+jbnoB2jWEtuo5zB8KhW6j8Ph4MSJExw7doxjx45x6tQpnE4nAIGBgTRs2JAaNWoQEhJCQEAAtv+Ohw0KCuLs2bPX/T1J0ZXNq1ZERERERK4pKdHBrq3pVL+p7K7HamZm4Jz+Lmz6D8ZtfTDu+TNGAcu+JCcnEx8fz+HDhzl27Bg5OTkYhkG1atVo3bo1NWvWJCQkBE8XzDAsf5ySVhERERGRcigr00ns2lS8vG1ldj1WMykR5/uvwNFDGMMewYgYkO99mKbJiRMniIuL4/DhwyQnJwMQEBBAixYtqF27NjVq1FCSWsYpaRURERERKWdM02RzTBqZGSadI3zx8Ch741jN+LjchDUjHduTEzFahAO5a6ImJCRw4MABDhw4QGpqKm5ubtSsWZOWLVtSp04dAgICXBy9lCQlrSIiIiIi5UzcnkxOn3Bwy63eBFQte1/5zdi1OKe/A34B2J5/A7NGLY7ExxMXF8eBAwfIyMjAbrdTp04dGjZsSN26ddWaWo6VvStYREREREQKdPZ0Nnu2Z3BTLXfqNvRwdTjFYpom5sLvMed+Aw2aknTPGPYcOsrexctITU3F3d2devXq0aBBA+rWrYu7u7urQ5ZSoKRVRERERKScSE9zErs2Dd9KNsLalq1xrGZ2NuZX00jf8Dv7b+3BnoAQTkfPwzAM6tatS9OmTalXrx72AiZhkvJLNS4iIiLy/9i77+g6rvvc+985HTjojWgEwd4J9t5J9d5cFDsur33t5PpeOzdx4uTmvb5rJevGzrtSbmw5thM5diwXSbZlS7KtQrGIDQQJkhBBsHeC6B3nHJwys98/IFGiCEpgQSOez1pcIM7s2fObMzhceLhn9ha5Ddi2Yd/OELZtWL4yBa935ARWp6ONs9/7R2qihrMz1uDEIccYVq1axdSpU0lOTh7qEmUIKbSKiIiIiNwGqvdHaG+1WbgimdQ091CX0y+RSISa8l0cOrCfzkAuSakeymbNZvr06eTk5Ax1eTJMKLSKiIiIiIxw505FOX86xqTpfgqKh/dzrMYYGhoaeOuttzhx7Bi2MRQmYixbsphJS1fido+MwC2DR6FVRERERGQEa2tJUL0/Qs4YD9NmBYa6nGuybZtjx45RVVVFU1MTXstievN5ZiV5yP3Cn2FlZg91iTJMKbSKiIiIiIxQ0R6HfTtD+JNcLFiWjOUafs+xRqNRDh06RFVVFaFQiOzMTNYQYUp1Of5l67D+4I+wNAuwfACFVhERERGREchxDJW7w8RihpUbgvj8rqEu6QpdXV0cOHCAw4cPE4/HGTt2LBvnz6XoV/+O1VSP9bHPYa29d0TNcCxDo9+h9Z0fura2Nh566CFaW1sxxpCdrWF8EREREZHBdqSqh5bGBHOXJJOeOXzGopqamti/fz/Hjx8HYMqUKcybN4/cS2dwnv578Ppw/Y+/wZoya4grlZGiXz/dNTU1/MM//AMTJkzg2LFjPPTQQ9TX1/Piiy/yta99baBrFBERERGR96g9F+P08Silk3yMLR0eEy81NjZSUVHB6dOn8Xq9lJWVMW/ePFKCQczLz+K89DMYNwnXH/8lVlbuUJcrI0i/QusPf/hDvvKVrzB79mw+85nPADBp0iROnTrVr4M0Nzfz1FNP0d7ejmVZbNy4kXvvvffGqxYRERERGaXaWxMc3BsmK8fNzLlJQ10OjY2N7NmzhzNnzuD3+1myZAllZWUEAgFMdyfOt/4Gqiuxlq3D+sQfY/n8Q12yjDD9Cq1NTU3Mnj37yh09Hmzb7tdB3G43n/zkJ5kwYQKRSISvfe1rzJkzh+Li4uuvWERERERklIqEHfbuCOH3WyxcEcTlHrrnQRsaGtizZw9nz57F7/ezdOlSysrK8Pt7Q6k5fQzne9+EzvbeyZbW3K3nV+WG9Cu0FhcXc/DgQebOnXv5tUOHDlFSUtKvg2RmZpKZmQlAUlISRUVFtLa2KrSKiIiIiPRTImHYuyNEPG5YuSEVf2BoJl5qbGykvLycs2fPEggEWLZsGXPmzHk3rBqD2fxbzPM/gIwsXF/7e6xxk4akVrk99Cu0fvKTn+Sb3/wm8+bNIxaL8f3vf5/Kykq++tWvXvcBGxsbOXPmDJMm6QdXRERERKQ/jDFUVYTpaLNZtDJIWoZ70Gtob2+nvLyc48ePEwgEWL58OXPmzMHne/eZWtPdifPMd6ByF5QtxvWZr2AFUwa9Vrm9WMYY05+Gra2tbN++naamJnJycli1atV1zxzc09PD17/+dR599FGWLFly1fZNmzaxadMmAL7xjW8Qi8Wuq/8b5fF4SCQSg3Is6ZuuwdDTNRhaev+Hnq7B0NM1GHq6BkPvWtfg4N5WDlS0smBZNnPmZw5qTV1dXWzdupXKykrcbjfLly9nxYoVBAKBK9pFK3fR+dTf4XR1kPLkfyH5oSexXMNrGZ7+0OdgcLz3Pzs+TL9D681KJBJ885vfpKysjPvvv79f+1y6dGmAq+qVk5NDc3PzoBxL+qZrMPR0DYaW3v+hp2sw9HQNhp6uwdDr6xpcuhCjcleY4nFe5i5JHrTnQqPRKJWVlRw8eBDHcZg1axaLFi0iGAxe0c70hDHP/QCz/TUoGofrs3+CVTJhUGocCPocDI7CwsJ+t+3X7cHf+ta3rvnh+NKXvvSh+xtj+O53v0tRUVG/A6uIiIiIyGjX3prgwJ4wmdlu5iwanMBq2zZvvfUWFRUVRKNRpk6dytKlS0lPT7+qrTlejfMf/xdamrDufgzrwSexvN4Br1FGl36F1vz8/Cu+f+d+9lWrVvXrIMeOHePNN9+kpKTk8nOwH//4x5k/f/51lisiIiIiMjr0RHpnCvb5LRatDOIe4JmCjTGcOXOGHTt20N7eTklJCStWrCA39+o1VU08hvn1TzCv/xpyxuD68/+DNWnGgNYno1e/QusTTzxx1Wvr16/n+eef79dBpk2bxnPPPXd9lYmIiIiIjFKXZwqOGVZsSBnwmYKbm5vZvn07Fy5cIDMzkwcffJDS0tI+25ozJ3B++H/h0vneZWwe/wxWYOjXi5XbV79Ca19KS0s5cuTIraxFRERERGTUM47hQHmY9labhSuSSc+84V/ZP1Q4HKa8vJzDhw/j9/tZs2YNs2bNwu2+enZiE41iXvwp5vXfQHomri9/HWvWggGrTeQd/foEVFdXX/F9NBpl586dWmdVREREROQWO3wwQn1tnJnzkigo7v8Mq9fDtm2qqqqoqKggkUhQVlbG4sWLr5oR+B3meDXOj74FjXVYq+/CeuzTWMnBPtuK3Gr9Cq3/+q//esX3gUCAcePG8eUvf3lAihIRERERGY0OV7Vz5kSM8ZN9TJjiH5Bj1NbWsmXLFlpbWyktLWXVqlVkZva9jI7pCWN++SPM1t9Dbj6uP/1brGlzBqQukWvpV2h96qmnBroOEREREZFRre5ijH0728kv8jJz7q1/RjQcDrNz506OHDlCamoq999/PxMmXHtpGlNdifPjp6CtBWvjQ1gP/wGWv++RWJGBdM3Q6jhOvzpwjcAFg0VEREREhpO2lgT7y8PkjvEzb2kAy3XrZgp2HIfq6mp2795NPB5n4cKFLFq0CO81lqYxoS7Ms09jdm+GgrG4/uKbWBOn3bJ6RK7XNUPrxz/+8X518Oyzz96yYkRERERERpuuTps9b4YIBFxsuLeAULj9lvXd0NDAli1baGxspLi4mLVr15KVlXXN9mb/bpyf/Ct0d2Ld+xGs+z+qdVdlyF0ztH77298ezDpEREREREadSNhhz7ZuLAuWrAmSlOwhFL75fmOxGOXl5VRVVZGUlMRdd93FlClTsKy+R3BNZxvmp9/HVO6Ekgm4vvy/sUqufeuwyGC6ZmjtaxFhERERERG5NWJRh/Jt3cRjhmXrUkhJvXqZmRtx9uxZtmzZQldXF7Nnz2b58uX4/X1P6mSMwZRvxTz77xCNYD3ySaw7H8HyDNwyOyLXq98/jfv27aOmpobOzs4rXv/Sl750y4sSEREREbmdJRKGiu0hwt0OS1YHyci6+ZAYDofZvn07x44dIzMzk8cff5zCwsJrtjfNDTjPfAcOH4CJ03B96r9hFYy96TpEbrV+fTqef/55Xn/9dZYvX055eTkbN25k586dLFu2bKDrExERERG5rTiOoXJXiLZWm4XLk8kZc3PPjBpjOHr0KNu3bycWi7F48WIWLlyI5xqjpcaxMZtfxrzwDFgurCe/gLXmHixNsCrDVL9C65YtW/jrv/5rSkpK2Lp1K5/+9KdZuXIlv/zlLwe6PhERERGR24YxhoMVYRrrEsxZmERBse+m+uvo6GDz5s1cuHCB/Px8NmzYQHZ29rWPf/Eszn9+G84ch9kLcf3BH2Fl67FAGd76FVpDoRAlJSW9O3g8JBIJJk2aRE1NzYAWJyIiIiJyuzDGcPhgD7Xn4kydHWDcxL6fM+0Px3E4ePAg5eXlWJbF2rVrmT179rUnWorHMb97DvP7X0BSEOtzf4q1ePU124sMJ/0Krfn5+Vy4cIGxY8cyduxYXnvtNVJSUkhJSRno+kREREREbgsnj0Y5czzK+Mk+Jk+/8cDa2NjI5s2baWxsZPz48axdu5bU1NRrtjcna3B+9G2ov4i1dC3WRz6HlZp2w8cXGWwfGFodx8HlcvHRj36Urq4uAJ588kn+5V/+hZ6eHj73uc8NSpEiIiIiIiPZmRNRjr7VQ1GJl5nzkm5ohDMej1NRUcH+/ftJSkrinnvuYdKkSdceXY2EMb/6T8zW30FWLq4vfx1r1oKbPRWRQfeBofWLX/wiq1evZvXq1ZdvD548eTLf+ta3BqU4EREREZGR7typKNX7I4wp8jB3SfINBdYLFy6wefNmOjo6mDFjBitXriQQCFyzvXlrL84z/wrtLVgbHsB6+BNYgaSbOQ2RIfOBofXzn/8827dv5y//8i8pLi5mzZo1rFy5krQ03U4gIiIiIvJhLpyJ8da+CHkFHhYsC+JyXV9g7enpYceOHdTU1JCens4jjzzC2LHXXpbGdLZjfv5vmL3bobAE1xf+HGvitJs9DZEh9YGhddGiRSxatIhQKMSuXbt48803eeaZZygrK2PNmjUfOJW2iIiIiMhoVns+xsG9YXLGeFi4PIjb3f/AaozhxIkTbNu2jZ6eHhYuXMjixYuvvYyNMZjdWzDPPQ09EawHn8S65zEsz80tpyMyHPQrcQaDQe644w7uuOMOGhoa2L59Oz/60Y/4t3/7N55++umBrlFEREREZES5dCHGgfIwWTluFq0M4vb0P7B2dXWxZcsWzp49S15eHg8//DC5uddelsZcOo/zk+/C8WqYOA3XH34Jq7DkVpyGyLBwXcOkiUSCU6dOceLECTo6Opg6depA1SUiIiIiMiLV18bZvztMRpabJatS8PQzsDqOQ3l5Oa+//jrGGFatWkVZWRkul6vP9iYaxfz255jXfg3+JKxP/leslXdgXaO9yEjVr9B69OhRtm3bRnl5OWlpaaxatYrPfe5zH/g/PiIiIiIio01jXZzKXSHSM90sWZ2Cx9u/wNrS0sKmTZtoaGigpKSE9evXf+A8MqaqAudn34eWRqzlG7Ae/zRWavqtOg2RYeUDQ+tzzz3H9u3b6e7uZunSpfzFX/wF06bpQW4RERERkfdrqo+zd2eIlDQ3S9YE8fo+PLAmEgn27t1LZWUlPp+Pxx57jMLCwmsvY9PShPPz78PBPb0TLX3177CmzLzVpyIyrHxgaD158iQf+9jHWLRoET6fb7BqEhEREREZURouxdm3M0RKqoula4P4fB9+i25tbS2bN2+mra2NadOmsWrVKsaOHUtzc/NVbU0sinntBczvfwmA9dinsDY+hKVJUWUU+MCf8r/6q78arDpEREREREakuosxKneHSUt3s3RNEJ//gwNrNBpl586dVFdXk5aWxkMPPcS4ceP6bGuMgf27cJ7/D2hphAXLcT3xWazsvIE4FZFhSf81IyIiIiJygy6ei3Fwz9uTLq1O+dBbgk+ePMm2bdsIh8PMmzePpUuX4vX2vSyNuXgG5+f/DscOQdE4XH/6t1jT5gzEaYgMawqtIiIiIiI34PzpKFV7I2Tnulm86oMnXeru7mbbtm2cOnWKnJwc7r//fsaMGdNnW9PdifnNTzDbXoXkINYffBFr1V1YbvdAnYrIsKbQKiIiIiJync6ejHKoMkJuvoeFK4LXXNbGGEN1dTU7d+7Etm2WL1/OvHnzcPcRQE0sSuiFn+D84kfQE8Zady/Wgx/HCqYO9OmIDGsKrSIiIiIi1+HUsR5qDvYwptDDguVB3O6+A2trayubN2/m0qVLFBcXs379ejIyMq5qZxIJzI7XMb99lu72Vpg1H9fjn8Eq6vs5V5HRRqFVRERERKQfjDGcqIlyrLqHgmIv85cm4+ojsNq2TWVlJRUVFXi9XjZu3Mj06dOvWsbGODamYjvmxZ9CUz1Mmk7mn/0NnWPGDtYpiYwICq0iIiIiIh/CGMPhAxHOnIhRNM7L3MXJuFxXB9a6ujreeOMNWltbmTx5MmvWrCE5OfmqvqiqwPn1M1B7DorH4/rv/wtmLcCXmwt9LHkjMpoptIqIiIiIfADHNhysCFN7Ps6EKX5mzA1cNWoai8XYvXs3VVVVpKSk8MADDzB+/Pgr2hhj4NA+nJefhTPHIa8A6/N/hrVwJZbrw9d1FRmtFFpFRERERK4hETfs2xWiqT7B9DkBJk7zXxVYz5w5w5YtW+ju7qasrIxly5bh8/kub788svrys3DuJGTnYf3hl7CWrcfy6NdxkQ+jT4mIiIiISB+iUYeKN0O0t9mULUqiZIL/iu3hcJht27Zx4sQJsrKyeOKJJygoKLi83RgDB/fgvPxzOH8acvOxPvXfsJauG9CwajuGSNwhFLcJxRxitsF2DAnT+9V2wO0Cr9vC63Lhc1t43RZBn5sUnwufW6O+MrwotIqIiIiIvE+o22bPthCRsMPC5ckUFF85clpTU8OOHTuIx+MsXbqUBQsWXF7GxjgOHCzHeelZuHimN6x++stYS9bccFhNOIbmUJyGUJyWcILWSIK29/wJxd4NqZGEc1Pn7nNbpLwdYFN8blL8bjICbrKSPGQleXu/JnvITPKQ7nfj7uPZXpFbSaFVREREROQ92poTVOwIYQwsW5tCVu67vzK3tbWxefNmamtrKSwsZP369WRlZQFvh9X9u3pvA649B2OKsD77J1iLV2P1sS5rXzoicaobwpxrj3KuPUpdd4yG7jhNoTiOubJtstdFZpKHzICbgjQvQW+AZJ+LFK+bZJ+LZK+LoNeN32Phdll4rN6vbhfYDsQdh7htiNuGqG0IxXpDb1fMpjtmE4rZdMUcGrvjHG+O0NFj874ScFmQleQhL+glL8VLXtDLmPd8zU724lGolZuk0CoiIiIi8ra6izH2l4cJBFwsWRMkJbU3bL5/GZv169czc+ZMLMvqXbqmchfm5Wfh0nnIL8L6f/4H1uJVWK5rh9XOngTHW3o40RLhREsPp9uitEUSl7cHfS6K03xMzU5i9bg08lN7w2Bu0EtmkoeAZ3Bv4004hvaeBK3h3tHd1kiClnCClkichu44hxvCvBlJXBGuXRbkJL8bascEfZfDbV7QS3ayRyO18qEUWkVEREREgNPHoxw+ECEjy83iVUH8gd5QeOnSJTZv3nx5GZvVq1cTDAYxjo1TsQPz2+eg7gIUjMX63J9iLVp5VVg1xlDXFae6MczhhjBHmyPUd8eB3mA3Nt3PvIJkZhRlke1JMC7DT1aS56pJn4aSx2WRk+wlJ9l7zTbv3Mbc+Pafhu44jd29f6+qD9Ma7rxitNZtQU7w3RD7zihtXkrv37OSPLiG0XsgQ0OhVURERERGNWMMNQd7OH08Sn6Rl3lLk/F4LKLRKDt37qS6uprU1FQefPBBSktLMY6D2bcD5zc/hfqLUFiC9V++irVg+eWwaozhQmeMww3h3qDaGLk8ipoecDMjN5m7JmcwJTuJiVkBkry9ATknJ4fmEbxOq8dlkZ/qIz/V1+f2uO3QHE70htl3Qu3bX/fXha4YaX6nv3fCbH5Kb5jNT/EyJsXHmBQvKb7+3XYtI5tCq4iIiIiMWnbCcGBPmLqLccZP9jFzbhJYcOLECbZt20YkEmHevHksWbIEr9eLqd6P88KP4fwpKBiL64t/AfOWYblcdEdtDtR1sr+umwOXQrT12EDvM5+z85KZOSaJWXnJFKX5htUI6mDyul0UpPoouEaojdkOTaEEDW8/y9sYilPf3RtqT7RE6I5dOclU0OdiTPDdEJv/9gjtmBQfeUEPXs2EfFtQaBURERGRUakn4rB3R4j2VpuZcwNMmBqgq6uLrVu3cubMGXJzc3nwwQfJy8vDnDqK86v/hOPVveusfuYrmCWrOd2RoLKmlf2XQhxrjuAYSPG5mFcQpCw/yKwxyeSneEdtSL1ePreLojQfRWl9h9rumE3j2yG2/u1g29Ad53xHlL213STe80CtBWQmechJ9pD79rPA7/17brKHVL9b12YEUGgVERERkVGnoy1BxfYQ8Zhh4YpkxhR6OHjwILt378YYw8qVK5k7dy7WpfPY3/5bqKqAtAzsj/0XDk9ZRXldhD2/PnN5NHVSVoDHZ2azoDCFydkBTS40QFJ8blKy3EzICly1zTGGtkji8shsQ3eMplCCpnCcM209VFzsJv6+KZh9buvKMJvsZfwYm4DpITfZS07Qo3VrhwGFVhEREREZVS5diHFwTxiv32LFhhRiiTaee+4NGhsbGTduHOvWrSM1Gsb84J9wKt4kmpTGW/f9MeU5M6moixB6s46Ax2JBYQqLilKYVxgkI6Bfq4eay7LITu5dZmdm3tXbjTF0Ru3LQbY51LuUUFM4QXMoTuWlt5+pPXTlM8XpAfflAJub/PaI7dt/zwl6yQi4NVnUANOnS0RERERGBWMMJ2qiHKvuITPbzdwlPg5WlXPgwAECgQB33303k3Ky4KWfEN3xBpU509mx7s/Zb+XQEzIE4xEWF6WwrCSVuflB/IO85IzcHMuySA94SA94mJR99Ugt9E4U5QTSOH6xgaZQguZwnOZQgqZQnNrOGAfrwvQkrnyu1m1BdrLn8szKOUHPld8ne0hTsL0pCq0iIiIicttLJAxVFWEuXYhTXOolLaeR53+xla6uLmbMmMGKsln43niZo/ur2ZZbxo6VX6cbL+k+N2uKU1lWksrsMcl4dNvvbc3rdpGTHsAfD/a53RhDKObQHO6dJKo53LtWbXMoTnM4zvGWCLsuJK54thbeWS6o9/na7LeDbM7b69Tmvv29nq+9NoVWEREREbmtRcK9Ey51tNmMn2Jzvm4X2/ecJDMzk0fvvQfPgX385t9/wdacMurKVuJzwZKxqawbn87cgqCeT5XLLMsixe8mxe+mNLPv0VpjDB1Rm+ZQgpZwb7BtfudrKM6RpgitkTjvG7DF57beM0L7brh955nb7GQvKT7XqAy2Cq0iIiIicttqbU6wb2eIeNwmo+Ac28vLcRyHRfPnE6vv4LuvneBQ+jwogZkZbh6flsuysakEtf6n3CDLssgIeMj4gNuQHWPo6LEv337c/N5wG0pQ3RCmJZLgfQO2+N3W5RHad8JtzntGbnOSPSR7b79gq9AqIiIiIrcdYwznTsWoPhABdxud0T2cOtjImPxCIk4a3z0RoN2XQ25qmCdLvawtG8uYlL6XWRG51VyWRWaSh8wkD5Oz+25jO4b2nsQVYfa9I7dVdSHaeq4OtgGPi5xkD3dPzuCBaVkDfzKDQKFVRERERG4rtm04VBnh3KkQUQ7RUH8Yj89PT8YkfhYtxbJgPvXcPTOd+XPm6fZfGZbcrndnQ55KUp9tbMfQGukNsS3vCbfN4QRJ3ttnojCFVhERERG5bYRDDvt2hqirP0tHZC890W66k/KpDEwnYMd4NFbD3StnkTdj/VCXKnLT3K7edWZzg96hLmVAKbSKiIiIyG2huSFO+fYmGlorCPWcp8cdpDptEUkJm8907mPD+kUkTX98qMsUkeuk0CoiIiIiI5oxhlPHethTXkVr1wEcY3MqeTLemIsvtO1jyZ0rcc/49G03OY3IaKHQKiIiIiIjVrTHYde2Wo6f3kE03kSbN5tWVx4f7TjMsg0rsMq+pLAqMsIptIqIiIjIiFR7PsLmN8pp6zqMY3k475/And1n2bhmPO75/x3LdftMRCMymim0ioiIiMiIkogbtmw+ycmTO4nbnbR785kWaeMLC1MJLPkjLJfWWBW5nSi0ioiIiMiIceFiF6+/8ibd4VM4rmRS7BQ+MzeblBWPYbkVVkVuRwqtIiIiIjLsJWyH37ywj/r6KmynB9w5PD45m6L167E8t/dyHyKjnUKriIiIiAxrR946w5u7q4hGz2O5UplfNJ4VD96J5fUNdWkiMggUWkVERERkWIp1d/PsL3fT0XUGx4mSmTKWj370DnzBlKEuTUQGkUKriIiIiAwrxrGp/P0OKi60kIhdxONJZ8PqtUyfM2WoSxORIaDQKiIiIqDqomUAACAASURBVCLDRnd1Nc/vukAoeh7HxBkzZjqPPbYOj0e/toqMVvr0i4iIiMiQM031bHmxguPxBLHYRTzeTO65+w4mjs8f6tJEZIgptIqIiIjIkDGRMJdefoVX27MI91zCMQlKJs7nwXuW43K5hro8ERkGFFpFREREZNCZeJz4lld45YSXBjdEYm/hDWTz+MN3kp+XO9TlicgwotAqIiIiIoPGODZO+ZtU7zzBgaypdDmHMY5h+tylbFi5UKOrInIVhVYRERERuWnGcQCD5XL3vd0YqN5P28u/5/Wc9bQFk4iFqkjOLOLxBzaQkZExuAWLyIih0CoiIiIiN8y0t2K2v4Z581UIJOH67/8LK/fKyZPMuVPEfvFjdrnmciZnId2RfeBOYuX6O5k3cyqWZQ1R9SIyEii0ioiIiMh1MbEopqoCs3sLHN6PYyzOzX0C09rIhL/7Kq7/+j9h3ETobMf87nnOHm1j98R7aQ9VYUcijCmdziN3r8Hn8w31qYjICKDQKiIiIiIfyhgDJ49gdr2BqdwJkTCJ7CKOrv8TqiIeurqPYmWmMz7nk2z45l/hNgkSbj9vzvwsZ4vziXSV40rO5OF7H6CkUMvYiEj/KbSKiIiIyDUZx8ZU7sa89gKcPYHxJ9G+6EH2pc2lruUiocYaHBOHpBxMtIuT8ZO0Lf8LPC4v0USYjlA1dizBlLIl3LVqkSZaEpHrptAqIiIiIn0yzQ04P/gnOFFDpGg6e+/635zv7iYSOk+s4w0MLryZxaxZNp/Zk0poauvgZ8+/SHPnnst9WMlZPPHg3RTm5QzhmYjISKbQKiIiIiJXcfZux/z4Kbp92Wxe9//S3HmeyKUdvRv9WeRNXMjdy8vISA1e3ic3M50vfuZj7Ks5SWZqMsW5WaSkpGiiJRG5KYMSWr/zne+wf/9+0tPT+Yd/+IfBOKSIiIiI3CDnzVdwfvwdquY+SaXbS0/zbozLT/q42dy1Yi4FOZnX3Nfn9bK8bPogVisit7tBCa1r167l7rvv5qmnnhqMw4mIiIjIDXK2/JbEz57mxaV/Qn34OI6dIHvSAh7buJiAzzvU5YnIKDQooXXGjBk0NjYOxqFERERE5AZFtr9G4uc/4BdL/ivNoUPgy+TOe+9gWolm+xWRoTOsnmndtGkTmzZtAuAb3/gGOTmD88C+x+MZtGNJ33QNhp6uwdDS+z/0dA2Gnq7B0IqfOUHzU/8fv1j0RzSHDmMl5/PVL3+WlKTAUJc2quhzMPR0DYafYRVaN27cyMaNGy9/39zcPCjHzcnJGbRjSd90DYaersHQ0vs/9HQNhp6uwdAxoS7s//PnvDDrEzSHa7CChXzuEw/SE+qmJ9Q91OWNKvocDD1dg8FRWFjY77bDKrSKiIiIyOAyxuD88F/YnrWMhthZ8Ofw+U8+TMCnXxNFZHjQ6s4iIiIio1nlTk5djFCTZDAuH48/dp8Cq4gMK4MSWv/5n/+Zv/7rv+bSpUt88YtfZPPmzYNxWBERERH5ACbURc/P/4Ot4+ZiOxHW3/8IhTnpQ12WiMgVBuW/0b7yla8MxmFERERE5DqY53/Ay+Puoyd2kYzS+axdOE3P8onIsKPbg0VERERGIVO9n9NH62mgCcubxcfvXTbUJYmI9EmhVURERGSUMeFuEv/5HbaMX4JjYqzYsBavxz3UZYmI9EmhVURERGSUMc8+ze8L7yASPU/ymOnMn1I81CWJiFyTQquIiIjICGMiYZxNv8G0t1z/vlV7OVdzkQueTixPGn/wyJoBqFBE5NbRfOYiIiIiI4g5tA/nme9AazOEw1gPfrz/+4a6iD/zXTZNfAA7doEl6+8iyecdwGpFRG6eQquIiIjICOG88kvML3/Eqckb2D2+lAXNEWZdx/7m5//G78beRSR2nqT8WSyZUTJQpYqI3DK6PVhERERkBDCHD9Dz4i/41eIv8GqSj47YOfbG/f3f/0A5Z040cdFqB28Gn3x41QBWKyJy6yi0ioiIiAxzpqWRxL//I8/O+Qh1kVPYviwsK0DMSfRv/1iU+E+fZnPpIhwTY9n6dQR0W7CIjBAKrSIiIiLDmHFsnO/9PS9NeICu2AWsjCl84bOP4/KkYJsYxrY/vI8dr/PS2DuJxC6SXDiLRVPHDkLlIiK3hkKriIiIyDBmtr9OhV1IrWkE/xg+89ENJHnduD1JGCcCHzKDsEnEad6ynTqrFcubxScfWjlIlYuI3BoKrSIiIiLDlOnupOO3L7I/Mx1cSdz70F2k+Htv6/X6krCdCJH6hg/uY/cWXhuzBMdEmbV0GX6v5uEUkZFFoVVERERkmDIvPMOL49ZjOyFK561kUn7G5W3B1FTAcPZ887X3t23aN71BBy24/HmsnTthEKoWEbm1FFpFREREhiFz7iQ1xxrpsOtxBcdx//IpV2zPzM0CoLat59qdHNzDqzkLsZ0IU+bOw7KsgSxZRGRAKLSKiIiIDDPGcYj/9PvsLJqGZbnZeNeqqwJnYVE2AG2R+DX76arYQ6vVieXNZuOiyQNas4jIQFFoFRERERlmzO7NbPJOIxpvJLlgFtOKs65qM6EwA7AIJfqePdhEwrweHdN7a/HMMlwu/donIiOT/vUSERERGQAmFsXs34Xz9D9hKnf2f79wNx0v/pozAQfLk85H71/aZ7tgwIfLlXTNtVpN1R6a/R4sVxL3rJhxQ+cgIjIcaPo4ERERkVvM2b0F87PvYSJhmtJLSekMk7pgRb/2Nb9+hpdK1mLbl5g0/y5SAt5rtrXcSTgmhnFsLJf7im11lYeJ2hDImozHrXEKERm5FFpFREREbhGTiGOee5rOHdt5Zc7HaDc9xOKNJHmL+Hx/9n9rLzWHa2kfk8AVHMc9y6Z8YHu3Owk71gbtrZCV+24/oW522jlAIzNmT725kxIRGWL6bzcRERGRW8DE4zjf+luOHzrLz2bdTWPsPHHTg8uVTNwJY2LRD96/rYXYD7/DjuIZWJaLO/qYfOn9vP5kbCdMtK7+yr4O7KbVC5Y7yLLZJTd9biIiQ0mhVUREROQmGcfGPP2PbOnJZ1NhKQm7m4IZa/njL34KX9IYbKcbp6HuA/Z3cJ7+R56feB+xeBNpJfOZ2sfkS++XnJICGM5caL3i9fMHjhGLNxHIHIdbEzCJyAinf8VEREREboJxHMxPv8ebLUkcCTrgTmLF3Y/wxMY5uF0WScFUjIlTe/rStfvYt4Od0TG02nW4ksfyB/cv7texL6/V2hp6t69olN3kAoY5Zbo1WERGPoVWERERkRtkeiI43/sm+052cijNi+VO5v5HH2b+5PzLbd4JlqfqO/ruw7FpefUVDqUnY7mDPProHf2eOKmwsHet1tbIe2YQPl5Nh9vB5U5l0fSiGzwzEZHhQ6FVRERE5AaYlkacb/w5u1uSqMjOAsvLuvseoDQ//Yp2paW9AbapO953P5W7+H3mXGwnzNRFqynMSul3DROLMwEIJ5zLrzUdOkIs0YI/vUhrs4rIbUH/komIiIhcJ2MM9n/8C7/KXsn+NA/G5WbJxnuZWZpzVdvJJVmAi6741eupGseh+ZVX6DStuAOF3LFo4nXV8d61Wo1tA7CnxQU4jJs47kZOTURk2NGSNyIiIiLXq7qSZ/2zaTENWP58HnzkbsblpfXZ1O/14HIHiZurR1pN5S5eyZyL49RRtmjhh84W3BfLHcQ2McyerTB1Dg1uHyTcrJg3/rr7EhEZjhRaRURERK6DsW3Ov/x7WlOycQcK+cynHiLZ7/3AfdzuILYdwYRDWMnBy6837dxFhzsNd6CINfNKb6gely8FO1xH9+/3EoxGiZpO3P48ggHfDfUnIjLc6PZgERERketgdr3B6+nTMcZm2ZoVHxpYATy+II7djV138d1+ujp41V2KMTHmLFl4w/UUTZmEY6L8Lncph7cfwLa7ScvTBEwicvtQaBURERHpJ9MTpmp7FeFEHb70ScyfWtCv/YKpqRhsTp+uv/yavW8X3a4wbl8eq8pu/PnTe5dPw/Jm0+Lq4lBW7xI3s2fr1mARuX0otIqIiIi8h4lGMSePYHrCV21zXnyWiowSLMvNPfcs73efOfl5AJxtfHc91YOHa0nYnaTnl95UvR63iwlz5mM7YVpNIy5XkDkTxtxUnyIiw4meaRUREREBzIkanNdegJoDmFgcy+2GyTOwVt2JtWgVXLrA62djRANdpOSXMS4v/cM7fdv40jyOHoDmcO9kTKaznUOkAxFWLJl+07XfvWwq3zl0ABNrxptWqqVuROS2otAqIiIio545UkXb97/NzvEbaCibSSzejteTTm48zoqf/JisPdvojiQ4FRyHCx8feXDZdfU/vjAdCzdhu3fZG3vfLsJWN25fLuML+h9+r8XtcjF57gKOV7xK0YTSm+5PRGQ4UWgVERGRUc0cq6b2h//BS5NXE080QtSH5c8mEW3kvIlSO3kxE6JeGpOD2HYdE+fdScp1zszrcbtxeVKIO3GcvTvY/9Z5bFeM7OKbH2V9x91Lp1IyNpfphZm3rE8RkeFAoVVERERGLdPSyKUf/ICXxi0gnuggb9oq7l8zixS/l1A0wdYDpzi9v5wT3g5wuvAkj+XelVNv6FgudwpOohPz/b+nuuwT4DSwatmtC60AM4qybml/IiLDgUKriIiIDClj23DpPJHqfTjnTmMtXYeVnTsox+569se8OG4+8UQ748rW8tCaWZe3Bf0e7ls6lc6yUn76wnbi7bVsvGs1lmXd0LG8KemEWy7x9MJPEYs14/bnUXIdz8WKiIxWCq0iIiIy6Ey0B/PWXji4h+5jJziaNp3atHzCngCLK55i0scfxZo2Z2BrqN7Pr8044vYlCmesuSKwvldakp8vPrkRY8wNB1aASdMmcKiinqgdwriTGD999g33JSIymii0ioiIyGXGGEjEIZGAngjUnsNcPAPJKVhli7HSb+55SXPuFOb1X1N/oo7dRUto808hWpqB7YSBRnDgtdyx1L6wk9Vzj2Pd9QiWy31rTu69dcTjHHl5Ex3JQdzJxTy24cMD8s0EVoC1CyawdsGEm+pDRGQ0UmgVEREZ5UwsCjUHSBw6wKmLYS64M7BdbmJuL+3+ZKIucBGmsOJFlpgLZEwswZoyE6bMwvL5+3eM+ovYv/4Z2zoyOZ0+iWhxEMfUQcyDJzmfMYWzmTF9PO3tnRzcsZVDQYf6k24ePvg/8f/hH2MVldzSc3beeJnt6aWYeNNN3fIrIiIDT6FVRERkFDKxKFTvp6vyIAfavZxNySFsUogH40Do3YaJFnAHwYlywpfgpJWNvyGJYN15Zv76TWYVeXAvXA4Tp2ElB68+TmsTzkvPsvOSm6OZE+lJugjxWnxpxUyZOYVVcyfh9fT+OpKTk0NzczOTinP55S9/R2P0Aj/KXMjK7/4H0/K9uFZuhFkLetdPvclzf62mg6ink5SCMqaOzbmp/kREZGAptIqIiNwmjDHQ2gR1FzENtSTqG+hsCeP1WqTOnIxVMhFz9iThoyfZE0rlbHI6kYQLxx+G+AXwZZNUWEZR8Rh8Xg8Bv4dJxbmMSU+mIxJj677j1J45R093Az12iDfT3OzpySXtzfOMf3EXM0wDwZJ8rAlTIZHArtpHZXcGh7LHEglegHg9qQWzeOSeJWSkXB1w31GQk84XP/cRfv7yblrPHWRL3hjKPUVM+m0ly48dwfuRT93U+xTf+hpnAx5cJshHH7i+9VZFRGTwKbSKiIiMUMYY6GiD2nNE36riUG2cM/4swh4PMeLYjpc4LlwJD4GaMEmHDhNxO0QTfmxvJyTCWMlF5JWUsHzeREpy0q55rIxkPw+vng2rZ2OM4cj5JnbvPUyo4QxNdiNNqbDPKsEXzsb/VgQsix7fZKKpTRCrJTlvGg/dvZTcjNR+nZvH7eYTD63k6NlJbN68m1D3WapSDGdbM7iZyGricd443Erc3UHO+KUEr3O9VRERGXwKrSIiIiOMaWmi63cvcaDBosmfSpfHS8SBhC8CphbiLnCngC8VT7AAO9pDuLuOsImCCUBSHrljx3LHshnkpCZd9/Ety2LGuDxmjMvDdtZQc76BmqMXaamvoyfUTI/d3dvOm0FKwUzuWT+fguyMGzrXaaX5TPvsIzS1d/LcT39DyG7HtLVgZWZ/6L6mqxNcFlbw3aDs7NrMWb8Xl5PMw3fOvaGaRERkcCm0ioiIjBDm4hk6N73Bq11ZNLssEr4uMF29IdWfQ8rYKcyZOZ7JhTmkJ3mv2LcnbnO6oYNJ+en4PLduNl63y8Xs0gJmlxZcfq2+rRNjDAVZt24N0tyMNILp+XS2HOFcZQ2lG1d9YHvTVE/s7/8nWOD7s7/ByivENNaxubKWuKebzJKFJPs1yioiMhIotIqIiAxjxhhM9QFOb9nLbk8+nY6FbS6ClUHu9BVMnlDApMJcMt4XUt8v4HUzozhrUGrOz7z2bcY3Y8KU8RzcfYQD59sp/YB2pquDpqf+mV9NuAvLsnj4X/6RvEcepfPZH3OydBWWk+CRuxYMSI0iInLrKbSKiIgMQ8YYTE0Vx96oYLdvDCESmMQ58OdSMn0x96+YicftGuoyB9XisnFU7XbTHItfs42JRen61t/zqzHzicXrAXihaBHrfvEyW8avJR5vIHfiUlKS+rdUj4iIDD2FVhERkWHEGIM5tJ+jW/dT7ssjRBwTO487rZQly+ezcErRUJc4ZAI+L25fNnG7C9PajJV19VI1sU2/5edZC4nFLpA7YTEej5u647t5raAYE28kf8oyPnL3oiGoXkREbpRCq4iIyC1kQt1w7BDhIycwtkNw5mSYPveKNUyNbcOF0zhnTtBzsQFfWjKeaTMw4TDV2w6xN5BLmGhvWE0dx9r1S5k5Lm8Iz2r4CKbm0NFSw7n9NZRuXH3FNhMO8dLJGD00kpo/k4/fvxSA54yh4VQVU+ev467l04eibBERuQkKrSIiIjfB9IRJ7NlB05ELnIwGqPOk0OWBWDyBwcG/r5mM3a8xzW5l4hgvoe4old0p1AdSiNJDPJHA3RXHV3cGg0PI1QOxC7jTS1m7bjEzSxRW32v81PEc3FXT53OtoVdeosEdwWWl8YlH11x+/SP3LAYWD2aZIiJyCym0ioiIXCfT3YlT8xath0+xPZRGs8emJxYBKwR2CzheXMl5WJaLcOgSYRPnkgXbW9KwHQfH1QSxJvCk4QrmEYuGiMXOA+DJmMDG9YuZUnz1ra8Ci+eUULXLTXMsccXrpquDF2vd2KaLiWXr8Xr0K46IyO1C/6KLiIj0g3FsTPUBTu2qYZ+dSbfHJhrrwTEdkAjgz5lMbkEuE0rymDmuAO/by8rE4gn2HTvPiZMX6WpuxOXJpHh8KSvnTSYnLfly/52RKNG4Te57XpOrXfFca3Ul1qzeWYDbfvNL2iwHlyeLe1bNGOIqRUTkVlJoFRGRUc0k4nD2BF17muk8U0tw7izc02b3bjMGTh2ls2I/5c1eLvj8RGJdGNrBBHCn5jNpykTuWDz9ckh9P5/Xw/JZE1g+a8IH1pGW5IekW356t6WU7ELa6w7y5qv7WT11Dpw6wsvt6dhOLbMWrcblGl2zKouI3O4UWkVEZFQyrU10bd7G1noXTV4vCSdEwu4msPUM63YfYuykPPYeaOSoL5VIIoJNC8TceDPGsWDRbBZOHatwNETuu3M+P/3PI9QkBVn6m2c5dKqVjiQ3nkAB65dMGeryRETkFlNoFRGRUcW0t1L/8mts6k6ly+4i4XRBzIPlS8fyZREKneN3CT/eag9RmiHWipWcT+H4eWxYPJ3MVN2+O9Sy01MYM3E+9Sd386tLhbSnZoPdyX0Pbhzq0kREZAAotIqIyKhgjKFz0+u8fDJOu92N7TSCL4uxM1Zxz4pZFBcW0NzczL6jF9i1dRvRRDvJhbO5Z918irLTh7p8eZ/H717Ad753lKZ4HSQMY6evZFx+5lCXJSIiA0ChVUREbnumJ0LNM79hRxyi8d6wWrZkDWvmTb6q7cJpY1k47RNDUKVcD5fLxcIVq6jY+iKeYDEPb5w31CWJiMgAUWgVEZHbmukJ8+oPXuGU04XtxCictpxHN87X86i3gaVzSklLeYKJxTlYljXU5YiIyABRaBURkRHLJBIQ7sJK6/u2UJNIsPlHr3DCrgdXgDX3PkLZpMJBrlIG0owJBUNdgoiIDDCFVhERGXGMMST2V/BGeR0tbh9PPL4IX07uVW0q//NFjsSawfLxyEcepTg3Y4gqFhERkRul0CoiIiOGMQb7rQOU7zrNEctNxL4ANmzf5GPDx66cOfb8a1upiHRgcFh334MKrCIiIiOUQquIyDAVq63l/JGLlMyfgi9Ls6ImTp3gzVcPcdrtJhyvA1wkF8wkXHeU0+1drDfm8nONdlMTr51pJ2F3M2/Vvcwanz+0xYuIiMgNU2gVEemHRGcnh8uPcbaxi/aeGI4xWFi4LIuMgI9xuSlMnVGAv7johieEcWJRGg8cpeJYM009PcQSrcQTbQRO1rJ8QjEz71g0YiabsS+e4+yuGipbDUG34b7P33fDfRnHoel3r/NybYLuxEWwPSTlTeHeO5ZQlJ3Bv/5bOz099bQeOkr2nOkYY3j5hXIisQsEc6ayat7EW3hmIiIiMtgUWkVErsGJx9n1+30cq297O0C29tmuPQxnW2HnyVQ8nky8Ln/vBgNul4tkt4dx2UksuGMurqTky/sZx6br6CkqD9VxsStKJNFNLN6IY2KAhdubSVLaOCKdF9h6rImT9Z08/Icb+6xhODCOQ2T/ATbvr6fOidETu4TBxmX5iTQ1k5Sbc9192udOsfN3VRw2YeKJVnxZE3niwbVkpwUvt5kyczqH99Wyed9ZnpgznQsvvcbFWAOWO5UnH1t3K09RREREhoBCq4jI+8S6utny+/2cbW0mGqsFDG5vJtl50yidNJZpEwtJTw1i2zad3WGOnKrj4tlaOtpbiUYb6DHRK/prBy51Wez/UR1Z/nQMhkjCJupEicebsJ0wAJYrgD84htIpE1ixYCrBpAAAR07W8sYrr1DbVTvI70T/Jeov8fKLB6lPtBFLtIDlxZ9ZisflItRygl1vHmbDY2s+tB/T3Unirf1E20Ocq4uwJxGgO34JLA+TF67jnuWzr9pn7dJp1OzfRUu0g+M/fI4tEYPtRFi87gGS/L6BOF0REREZRAqtIjLknHiMWGeIzpZu2tq66eiK0B2KkpriZ+H6eYNyS6xxHM4fOM7Oqgt09DQRTzRjWV7SMsZz732ryMtOv2ofj8dDrt9PbnYmLJ7R248xxGIxXC4XlmXR0R3ifH0bVZU1dLWepy72nuBp+fAGsikomsad65cS9Lv7PNfpk4rYGcghEr5IrKcHXyAwYO/D+xljqN9ewfajrayclUfh8gVXbrdtTr28la313YSj58AdJH/yYu5fN4/kgJ/mjm5++qOTnG3p+NBjJS6c5xe/q6HT6cB2IiTsEAYHb2Ypj9y7mvw+rgH0jmYH04vpbjvO63YQ24lQOG0pS2eX3oq3QERERIaYQusIE+2J8VblMWovtdIZihBPJHAcB8fYGONgsLFw4XJ58Hp8jC/KZdmaMvyB/o02OI7D/l01nD7XQHekB4Nh1ZKZTJk9foDPrFc00sOl0w1EYwkc28Z2HGz7yj8J28ZxHCwsvD4Pfr+XgN9LIMlHUpKPQFKA5LQg/mT/oNQsV4uGI+x6o4qzDW1E450YE8cYGwDL8oDlBgwYA9g4Tgxj4m/fFvteFgdOXmT9khlMmjtpQGq9eOgk2/edoTPaSSzWgCGByx0kr2AG9927nNRg8od38t6KLQu//92fveyMdLIz0pk3rZRYPM6BI+dISwlQkJNBemrwckjNycmhubn5mv0mBZIIh23OHb/I5DkD8168X7y+nhdfPkhD9BIJu5vfHGxh8cVW5j++AYDQ4Rpe2nWB1vhFbKeHlLypPPnoegI+7+U+ctJTcHuzicbbcGJRXL6+P5fhqrd4tvwiXdGT4EnFnZxOIKmA5UvmMHP8h6/DuWL1fF79zXFsHJZsfIAlM8bdmjdBREREhpxC6zBm2zbNdW0cPHCCS01t9ES7sROt7/vF3sKy3L1BgN6vBgcTj9LTE+OtYyepPnGQnIzxfOwT134WrrO1k5de2kNHqJFEouWK/l/dep6dFeN57JEVpGWl9av2eDSKy+3G7bn6R8xxHDqbOzh/pp5LdW00tXcTiUWwE2H+//buPLiq+7z/+Pueu2rfF9ACAiEEQixiEzJgs9nGNo7XpI6XOHbi1E2b6UxnmnambdrpZCatp5l4pvnFTkKcxE5jO6x2bMeGgI0xYjNmESCQQEJCQjuSkK7ueu7vD4Fim1Ug6Wr5vP4B3eWc55xHR+c+97sFgx1XKFz6z2pE8fADa0jPTL3lbcmN83S5+ePmPTR11BG4OP7TsMZiWJ1YLL2FTMg0CYUCYLFgsYDFYsdmi8BqtWG32XA47DidTiKjXZytbcDdfYY/fVzP7OYOFq+ae63d3zAzGGTP+/soq23E66vHDPmxGC4iosdTUJhH8bxpg9K667DbWXiTBWdSQgytbXCmpmlIilZPYyOvbt5Hj7cKizWalImzaT5zlNLGbg7/wkcI8Jkd+PwtWOwJLFl1F3OmZl9xW7GxyZxvLafs48PMXDH/sud99fX8rvQ0Pb4aHHHZPPP1+3DY+3d7mjohlQt3P8DEtCSS46Ku/wYREREZMVS0honX4+P44VPU1DTT3uXG5/cTMP2EzAAhghDyYwZ7MD83Ns5qjcHhTCU+JobM8UnkTMkkfVzKVT9cN5xr5pMdh2loPUdT2zF+/Ss/T37jTqxW6xde9/5bpVTWniAY7MSwxpAQn8vMgknkTZ/ImVN1bN+5nwvdFfzfm1188+mvXNZq29bYxsc7jtJ0/jz+QCch04sZ8mLBhmGNwGJxXozRQsj0Y5rui2P4Qn3bVjrmFwAAIABJREFUsFhsGNYYHK5UIp0RWK2Wvu6VhgUsFgPDMDAMC9aL/4ZCIfyBIIFg8C8tsEETj89HT08tn+ws4+G/Wj5gOZOrCwb8vLuxlNrmGgKBNgwjivS06SxdNof01KRb2nbZkVNs2/4ex6vOspgbK1pNn49jpcc5UtVE0AyxrGQKGfk5BH1e9v75IEdqGvB4awADZ0QaM2dPH7RCdaBkZKZw8hS0tncP+r4C7e38btN+erxVRCZM4qm/uhuH3caJM3l88Mf3uOA9BRhgdZGVX8xXVs7DMIyrbm/uwgK2vlvO4TPNzLzC85veOUiPr4bo1Kl882t33nQe5uVduWgWERGRkU1F6wAKBAL86e1SzjY2YpoeQqYPwxZNRso4Vt41j/raJqpOn6O6vgmvtxHT7Pncuw0Mw4XFYsdisWGxOHA4o3HanaQmxlK0MJ+09JR+xZM+LoWHv7aCHreH3/z2bTq7KvjVWh9fffgO4pLiaGs8z7rNH+Hx1GAYkUydNJc77y35wgfG/BmTyZ8xmd/99j1a2yt49dX3eebZezEMg7qqc3yw7TO63bUXi2srNnsCNnscNquNoGkSCHp7zwUmEMKwOLDZY4m0pxAVGUFifDR50ycwZ04hra2tVz2W/vD5fLz88is0d5wfkO3JtX360WH2HT+Jz1ePYUSQlVHIvfcvxmG3X//NN2BG4WR27EzC528n9Ll1OK+mfF85H+4/hM/f2PfYxi1VuHZkEAj2zs4LBlHR2dx3/1LSkkfG+qe5+dls/wi6Pd7rv/gWmH4fv3uzlG7vKVwx2Tz7xL1953zqhHTy/uZpgsEgtiv0oria6bkZbLNG0+XtvCyHZz/ZT7O3DostnqceXTmsvzgQERGR8FDROkDe2/wJp+tOEwycxzAiMIworLYYAv7zVNc18MtfHeQvLYsGdnsKyQkTyUxPYMq0CaSOSx60D2sRkS6+9a0HeeWVP9LTc4bXXt9AUnwWre11BIMdREVm8+gjK4iNj7nqNr7+5N388pce3D1V/PKXbxEMegkEWgmFAtjsKUyZMIEly+YQGRFxUzEO5LE7HA4cjmR8vmbcF9xExvRvTOJw0NbQyvZtR2jubMUMXrg4DtTBzLwp3LZiTrjDA6CzuZ31m3fR5a4Ci4WEhFweeXQFEa6BH0scHRlPe0cFJw6dIv8aY1s/++ggu8o+wwy6iU+YzKyifDxuL59+egi35zSGEUVC0hSWr1xARtqttQAPtQinA8OIxBcY3KL1z+t30uGpwB6RzrNPrbns2rRYLP0qWC9xRqTQ03WGhrKTjCucCoDp9fB+WX3vTL9LV2D7Ui8QEREREVDResvKj5xi+ycH8PvOYRhRpCXlc/8DS4iI6i3eetwePni3lJb2TlxOJ/ExkSwonk5Kev/XK7wVNpuNb3/7Aba8W8qJ08doaj2GYXEyLXc+q+5ZdN33WywWnnxyNb96ZSMeTw1WawwuVzpzCqcwr/jyJSjCbVxKMtVn6/h4+0Huur8k3OHcsJMHT/Hx/nJ6euowQx4sFgc2ewJgEvC3caj8CLPm5hJ9jS8YBsOF1naOHqyivcNNe3cPHe4uAv5mgmYPdkca996zlOzs60+Wc7MK8rP5ZE8FB8uqrlq07tv+GXuO7icUCrBg4R0sXFjQ99zC+dPp6nYTFRkxolvyDGvkl3poDCx3QzMVbfVYDBePf33NZUMJbkXe9Mkc2lvFR/tO81cXi9Zdmz+h23sGZ/QEimdOGrB9iYiIyOgyZEXrwYMHeeWVVzBNkxUrVvDAAw8M1a4HzYdb9nOkfC+EQsTFTOaRR5cRFf3FVr2ISBdfeWT4LG6/6p5FFHcW8t47pSwqmUHWhBsvNFwuF8988yHc3T0kJsUPYpS3bumyOVS/eoSaxuZwh3JDTpVVsW1XGR5PDSGC2B0p5OfMZMmyIpyO3jHE7729k4qqA/xh/cd889l7hiSuhupzfLDtMBfcZwmafxlLabHYsTmSmJpTyMo7iwc9jtnz8ind+wntXZ1XfL67vZN9x48SCgW5445VFBZeXthG93MW4OHIanXh97VgmuY1x5DerA1/3E8g0MaE3PnERt1cr4mrWbIgnyOf7uG8p41g1wUsdjtHW89jsdh48KEVA7ovERERGV2GpGg1TZO1a9fyL//yLyQlJfHP//zPzJs3j8zMzKHY/aA4UXaKshMHsFicrLzjDvILJ4c7pBsWExvNVx9bdVPvdbmcuAah++dAi0+IxW5PxudtIRAI3FR3xqHQ3tTGxrf30OWuJhTy43SNZ+ltRUwruLzVafWaxZx5uZ4L3afZt+Mw85deaUqbgXHqyCk+2nMCd0/veGWrLYGMtAkkJMaRkpbItPwJQ3pOrVYrNkciAV8L3h4vzogv/g6+uW4ngUAbOROLrliwjhYuhwuvx0NLXROpWekDuu3Tuz6jvacGqz2JNXcvHNBtAxiGQULKBFobyvj4T/tx2Sx4/fVExeeSGh894PsTERGR0WNIPnVWVlaSnp5OWloaACUlJezbt2/EFq3nW9rZ+tEnhEJBbpt/24gqWMeShNhEmlqb2P/JUYpvnxXucL4gGAzyzvpPqG0+TTDYid2RypJFc5kxa8o133ff3UvZ+NYm9h89PuBFq2mafPLBpxyrrsPjPds7XtmRwtzC6RSXzAx7t9rk+ATqG+vZt/MIi1fN63v8k/f3csF9GodzHGvuXxzGCAdfbEwUHZ1wuqJ+QIvW5iMn+ODQScyQjztuXzworbgAd9+9kN/9+jgVLe0XR/hbWX3PbYOyLxERERk9hqRobWtrIynpL5OeJCUlUVFRMRS7HhRvrv8zwWAHudlzKCouuP4bJCwWFRew+Z1yTpyuG1ZF69nKet7581683hoMI4qCqQtYcdeNdbHNnJBOdFQGF7qqqSqvISd/YJb46L7Qzcsvb8DrPQsYOF3plBTPonDmtYvoobSgeBqbNh+lsraJS6Wpz+Ph0KmTWCx2Hnzg6usQjxbpaQnU1kFDS8eAbbP9xCnWf3IYn7+RrMnzmDl9woBt+8uSYqNwRo7H464nhIkrZgLjk+MGbX8iIiIyOgyrPpNbt25l69atAPzoRz8iOXloJiuy2Wz92tftxXMpK0/gqW+N/HG5w0V/c3AjkpOTefvdd/D6vUP2u3Q9r7/yLifOHCZo9hAXm8Pz332MyAhXv7Yxv2g623ZUsffTCuYvLhqQuNb+8h283rPExubw9a/fx/jx/VteaSgkJyfz9h+34PacJzY6BofLySs/20gg0EZ21mwKCoZPgX0zbuQamLegkH0HPuSC++Z+p4OdvcWuNba3ULxQV88b2w/h851jQu58nn1qTf8D76elyxez5Y+/Byw8/MjqYXNtwuD8HZL+UQ7CTzkIP+Ug/JSD4WdIitbExMQvrMHZ2tpKYmLiZa9buXIlK1f+pbWkpaVlKMIjOTm5X/vKnzWR/FkThyy+saC/ObhRFsNFMOgLe678Ph//99p2OrpOYhhRLJh3O8UlM3F3d+Hu7urXtqbPzOHDnVG0dbYMyHFteuNDut2ncEVk8vTTvUVLuM/X1SQljqep+Tgv/78NPPzVpdQ2V2MY0ay+d9GwjflG3cg1YHdYsFjs9Pg8/Tpe0+dl7+ZPONJ2ATB44LYpJE2ZyK9/82e8vrMkjyvgK/cMzTmcNimFbZHjcLiiSIqxD6u8DdbfIblxykH4KQfhpxyEn3IwNMaPH3/Drx2SonXy5MmcO3eOpqYmEhMT2bVrF9/73veGYtcyxhlWF2Zw8JYIuREdre28/odteH1nsTvSeOxrq4lPiL3p7RmGgcuVjNtdS0NtE+lZqX3P9XS5ObK/ggV33Fh36GMHTnK2qRyrNY6/+9vH8XrDe66u55FHl/Hyzxto7TjNH14PEQicZ3z6DJwOe7hDGzKGNYpg0HNDrzU9Hsq27GPfuU7cnqqL40hN1n/cRVTpGbo8p3BGZfLYI8sHM+TLfPdbjw7p/kRERGRkG5Ki1Wq18swzz/DDH/4Q0zRZtmwZWVlZQ7FrGeNshgOPvy1s++9obef//rAFv+8c8XGTeeLJ1QMyyU1eTgYHj57h451lPPrYXwqO/3t9G93u01SfbeWrT1y/EPlkfzlmyM+dy+4iJiZq2BetNpuNJSUL+XDHB7R2lmMYUdz3ldE9+dKXWY0IgsHrt84f2bqHPaea6PH2LqPkiMrgK/cv59NDFZw+thefvxnDnsA3nrgv7JNsiYiIiFzLkI1pLSoqoqhoYMbfidwoh91Bj8dHa2MbSWmXd0kfTJ8vWNNS8vnaY3cO2LaLl87i8LFPae34S0FefaIWd08NYKGh7Rjvb3Zx11dKrrqNprpmPN46HM508qfnDFhsg23m7Dw+PXiSC52nSU+diMvpCHdIQ8pud+HzNdLT2U1EbNQVX9PV0MzOkxX4A+24YjJZvryY3Am9sw3ft3IBu5MTOLj/EPffv3LMnT8REREZeQZnXQORYSLq4nqeZ6rODel+g8Egr6/7cFAKVgCH3Y7dmYLf38T5pt7CdeuOg4RCAebOXoxhRFJRc4TPdh296jY+2HqAUMhPYf7Im8DoqSdXM794BQ8/OrTdWoeDqAgXYHLqRM1VX7P+7f34A21MzJ3Lc998oK9gvaR49hT++luPMD41fpCjFREREbl1KlplVEuIjwagqXnglgi5EX/4/Xa83hpionMGvGC9ZMqEDEKhAK+v30LptgP0eGpxOMdx29I5rFq+DDPkZ//Ryiu+1+f10dF1DqstnpKlw2c5oBtltVpZtKBgTHZrTUtNAKDqTNMVn/9sy146PVXYHCmsWX1jSymJiIiIDGcqWmVUG5fe2yW4o7N7yPa5f+cRms+fxGZL5PEn7x60/Sy/ayHj0wvw+5vZV7aLUChAyfyZAEydnoPNFo/ff+Xj3vLOHoLBTtKTM8dk4TeSzSzKA6C14/JxrU2Hy9lTWQXAPfetUG5FRERkVFDRKqNa9uTeqbTdXt91X+v1+Hj55U38/tWtN70/r8fH3sOHAIPVq+7AYR/cWW0f+eoKFi24A8Nw4XJlMLNoat9zdns0wWA7HvflM83WNJ3DsDhZvebqY15leEpKjMWwRuPxu/seC5kmO97czvqd+/D5G0nPnM7EzNRrbEVERERk5BiyiZhEwiE6JgrD4sQfuH7R+ubrH+L11tDmj8Ln8+Fw9H+Cmnff2kUg0Mb4tAJypmTeTMj9Nr94BvMWFlz2eHx0NOd6Ahz5rIL5txX2PV5/pgG/r4nIyCwiI1xDEqMMLJsthqC/EzMYxLBaeX/dx1Q0HAeLQUHR7axYPPK6fIuIiIhcjVpaZdSzGBEEg95rvubQnuO0X6jEYnESNLv56IMD/d5PwO/nXMtZDCOKNQ8sudlwb4rFYrmsK+jkSeMAqDrT+IXHP95ZBpjk52rZqZEq0hVN0Oym9sQZAM6cbwWLwSOP/ZUKVhERERl1VLTKqGdYXZjm1YtWn9fHrgOHAFi2ZBkWi43Tdf2fbfhPb+8mEGgjJTEb5zBYRqRg9hQsWOno/uK41rYLbRhGJMWLZ4YpMrlV48clAVB2/Cze7m78/hbsjiTGJWs2YBERERl9VLTKqGc1HJhmz1Wff2fzLvz+JlKScpkxOw+HIw2fr4G25vM3vI9gMEhNQy2GEcH9Dw1tK+vVOJ0OrLY4/P6/TNhTd7FrsMuVgs2m0QEj1ayLkzE1t19g744yTNNDcmJymKMSERERGRwqWmXUc9odhEI+Whvbrvh8Q1szhsXFQ4/cAUDuhExCIT9/3vrZDe/jw/f3Ewi0kBCfRYRr+IwTtdujCQba8bh7i/ad6ho8KqQkx2MYUXj8PZyqbwWg+HPjlkVERERGExWtMupFRTgBOFN1eZffujON+H2NuCJS+yZeun3lXAwjkpb25hveR1VdE2Bwz72LBiTmgRIfE0OIIIc/rQCgrbNVXYNHCastlmCgkx5vO1ZrHJnj1dIqIiIio5OKVhn1EuKiAGhq7rjsuY92HAZMCvIm9j1ms9mIcKXi9zfR3nr5e67E62/HZksgISFuIEIeMLmTL03G1MTh0mP4/c3qGjxKREZEETS78AdaiYhIDHc4IiIiIoNGRauMeuMuTlrT0dl92XPtXS0Y1mgWfqnlMToyEghRd6bputuvqThLMHCeyIjhVbDCxcmYLDbaLrTx8aelWCxWFs6fFu6wZACMS026+L8QuZPV3VtERERGLxWtMuplTx4PgNv7xbVajx+qJOBvJjoyFcP44qUQHdk7LrW5pf2629/36UkAcieOH4hwB5TDbsdqjcPvb8AM+SlZuJTCWXnhDksGQGHRFAAsFjsLF12+Tq+IiIjIaKGiVUa96JgoDIsTf+CLReveA73F5oJ5Uy97T0JCb5fijk73dbff0tGBxWJnfsmMAYh24MVEJ2AYkdyxZDlzF6i4GS3GpSViWKOxO5NxOuzhDkdERERk0Ghgm4wJFiOCYPCLa7V297RhtSUwvXDKZa9PTUvofY3n6uu7Qu9SNwF/GzZ70rBYm/VKnnhyNQAWiyXMkchA+9rjjxChglVERERGObW0yphgWF2Y5l8K0Lbm8wQC53E5rjwOdXxWGgBen++Kz19y9EAFQbObuKjhN571EovFooJ1lEqJjyU6MiLcYYiIiIgMKhWtMibYrA5Ms5sLHRcA2Fd6DAgxLuXKs65GRkVgsTjwBwLX3G7Z8TMAFM7IGdB4RURERESkl4pWGRPGJycSCgX4ePshAOqaeydYWlA8/arvMQwnQdN/ze12ujsxjEhmzL68i7GIiIiIiNw6Fa0yJixdXgRYqWtqBcDj68RqjSc57errW1osTkLmtbsHBwId2Ozx6n4rIiIiIjJIVLTKmBATF43dnozP18KFjgsE/W04HLHXfI9h2AmFrl601p6uxzTdRDojBzpcERERERG5SEWrjBkJsYkEzW7e2lxKiCCpCfHXfL3Vasc0PVd9/vjRagDSUxIGMkwREREREfkcFa0yZiy6OH71fGfv5ElFV1if9fPsNjuhkJ+Ots4rPt/Q2gHA9EJNwiQiIiIiMlhUtMqYMWFyBlZbAqbZg9UaQ9bEcdd8vcvRu+5qfW3jFZ93e90YRgSZ2ekDHquIiIiIiPRS0SpjSlREb1dem/3666rGRLoAaG66cktrMNCF1XrtcbEiIiIiInJrVLTKmDJ7xiTAQnry1WcNviQ+PhqA9s7uy57raOsgGOzE6dAkTCIiIiIig8kW7gBEhtLs+dNJSE0gKyvtuq9NTu1tje3uuXwypiMHTwEhEuNiBjpEERERERH5HBWtMuZMmHDtsayXZGT3FrZen/+y52rre9d7nZKbMXCBiYiIiIjIZdQ9WOQqomOisFjs+IOXF61d7m4sFhtTZ2jmYBERERGRwaSiVeQaDMNF8ApFqz/QjdUah82mzgoiIiIiIoNJRavINVgsDkzzi0Wr3+8jGOzEZtMkTCIiIiIig01Fq8g1GIaDUMj7hceOHzxNKOQnNio6TFGJiIiIiIwdKlpFrsFq2DHNLxat1TVNAGSkX3/ZHBERERERuTUqWkWuwWazEQr5uNDZ1ffY+Yvrtk4tmBCusERERERExgwVrSLX4HI4AKg/09T3mMfXg2G4SE1PDldYIiIiIiJjhopWkWuIjnQB0Nx0vu+xYLAHw9B4VhERERGRoaCiVeQa4uOiAGjvcAMQDAYxg13YbBHhDEtEREREZMxQ0SpyDcmp8QB09XgAqKtqwAx5iXCqaBURERERGQoqWkWuISs7HbDQfbForag4C0BygroHi4iIiIgMBRWtItcQHReF1ZaA19cBQFNr778TJ6WHMywRERERkTFDRavIdUQ44wgEzlN3pvFiN2Erk/Oywx2WiIiIiMiYoKJV5DomZacDIfbuOU4g0IPVGo3j4lI4IiIiIiIyuFS0ilxH8ZJCLBYbze3tmGY3VmtkuEMSERERERkzVLSKXIfL5cJmS8LvayUY7MZh18zBIiIiIiJDRUWryA2IjYojaHYDIeKi1dIqIiIiIjJUVLSK3IAZ0yb0/T9jfGIYIxERERERGVtUtIrcgMK5UzGM3m7B+QU5YY5GRERERGTsUNEqcgMMw8DpTMZqjSU+MS7c4YiIiIiIjBm2cAcgMlI8+dS9BILBcIchIiIiIjKmqGgVuUEup9ZmFREREREZauoeLCIiIiIiIsOWilYREREREREZtlS0ioiIiIiIyLClolVERERERESGLRWtIiIiIiIiMmypaBUREREREZFhS0WriIiIiIiIDFsqWkVERERERGTYUtEqIiIiIiIiw5aKVhERERERERm2VLSKiIiIiIjIsKWiVURERERERIYtFa0iIiIiIiIybKloFRERERERkWFLRauIiIiIiIgMWypaRUREREREZNhS0SoiIiIiIiLDliUUCoXCHYSIiIiIiIjIlailFfinf/qncIcw5ikH4acchJfOf/gpB+GnHISfchB+ykH4KQfDj4pWERERERERGbZUtIqIiIiIiMiwZf33f//3fw93EMPBpEmTwh3CmKcchJ9yEF46/+GnHISfchB+ykH4KQfhpxwML5qISURERERERIYtdQ8WERERERGRYUtFq4iIiIiIiAxbY6poVU9oEREB3Q/CTed/eFAewk85CD/lYGQY9UVrbW0tR48eBcBisYQ5mrGpsbGR1tbWcIcxpikH4acchJ/uB+Gl8x9+5eXl/OIXv+D9998HlIdwUA7CTzkYmUbt7MGmabJ27Vo2b95MTU0N9fX1REREkJiYiGma+gUdAoFAgJ/97Gds2rSJI0eOYJomGRkZWK1WQqGQcjAElIPwUw7CT/eD8NL5Hx5Onz7NSy+9xIIFC/j000+prKwkPj6e+Pj4cIc2ZigH4accjFyjtqW1u7sbj8fDT37yE773ve8RExPD22+/jcfjwTBG7WEPK9XV1Xg8Hl588UW+9rWvcfz4cXbs2EEgENCHlCGiHISfchB+brdb94Mw0v14eKisrGTy5MmsWLGCv/7rv8bpdHLgwAE6OzvDHdqYcerUKeUgzHQdjFyj6m6xe/fuvqb+np4eTpw4gcfjITY2loULFxIdHc2f/vQnQP3XB0tra2vfuTVNk4aGBkKhEPn5+cyePZu6ujrKy8vDHOXoVllZyYULF/p+Vg6G3tmzZzl//jyg6yBcmpub8fl8AFy4cEH3gyGm+3H47dq1iz/+8Y+cOHEC6F1z0uPx0N7eTnx8PDNmzKCzs1N/iwbRiRMneOGFF6itrQUgJydHORhiu3fv5te//jXbtm0DlIORbFR0D770De6hQ4eYPn06GRkZxMTEcPr0aRoaGpg2bRpOpxOn08lnn33G1KlTiYiICHfYo0pLSwsvvPACu3fv5ujRo0ycOJG4uDiam5uxWCyMGzeOxMREqqur6enpYeLEiVit1nCHPeqUlZXxgx/8gOzsbDIyMgBoa2vDMAzS09OVg0HW0NDA//7v/1JaWsqOHTuYOnUqqampNDY2KgdD5OzZs7z00kuUlpZSWlpKbm4u48ePp7KyksbGRt0PBpnux+Fnmibr169n27ZtTJgwgfXr15OUlERcXBwtLS0EAgGysrJITk7m1KlTmKZJbm6uhisMggMHDrB//37S09MZN24cHo+HxsZGTNNUDgaZ3+9n7dq1HDhwgIULF/LKK6+QlZVFamoqdXV1ysEINCpaWltaWoiPj+eHP/whixcv7utudMcdd3DixAkaGxuxWq3ExcVht9vxer1hjnj0+eCDD5gyZQr/8R//QXx8PK+++iper5eEhAROnz5NZ2cn0dHRpKenU15ejt1u17frg6C5uZmcnBwaGhpoaGggOjqa+Pj4vtZX5WBwvf7660yaNIn//M//JD8/n/feew+n00lCQoJyMIguncO6ujp+8YtfMGPGjL4vb9auXQvA8uXLOXHiBE1NTbofDLDP/w7rfhx+hmFQX1/PU089xX333cejjz7K+++/TzAYJCEhgerqas6ePYvVamX8+PHs3bsX0GQ0g6Grq4vMzExOnTrFmTNnyMrKIiUlhdOnTysHgywUChEIBPj2t79NSUkJ999/P36/n+TkZOVghBqxRevWrVs5duwYADU1NX2zcr7//vv84Q9/oLy8nKysLKZOncqrr74KQHZ2Ni0tLdjt9rDFPZq0t7cTCAT6fr40iP2JJ54gGAxSXl5OTk4OPT097Ny5E4B58+bR1dWF2+3WH4YB0N7ejmmafT8nJCRQXFxMc3MzR48exeVyUVBQgMfjYceOHYByMNDa29sJBoP4/X6io6PJzMwEem98kyZNwufzMWfOHNxut3IwSPx+PwCRkZE8/vjj3HPPPQA88sgj+Hw+Ojs7yc3NJScnh9deew3Q/WAgXTr/oPtxuHz00UccO3aM7u5uAOLi4uju7iYYDFJcXExaWhqHDx9mxowZ2O12Xn/9daC3J87kyZMJBoPhDH9UuJQDt9sN9LZ4R0ZG8uCDD+J0OqmsrCQYDJKXl0dUVBS///3vAeVgIF3Kgcfjwe124/f72blzJxs3buTNN9/k4MGD7Nixg9mzZxMREaEcjDAjrntwWVkZL7/8Mrt27SIiIoLCwkIsFgt1dXXs2bOHlpYW0tLS+PDDD7FYLKxcuZKtW7dy+vRpfve735GRkcGCBQuw2Wz6sHiTjhw5wk9/+lOOHj3K8ePHmTt3LhUVFTgcDsaPH4/dbicqKopt27axatUq4uLiWLduHa2trbz22mvMmDGD2bNn6/zfgs/n4OjRo8ydOxfo/YOdnZ3NnDlzOHDgAOfPnycyMpKMjAzWr1+vHAygz+egvLyc+fPn941VfeONN2hubiYyMpJ169ZRXFxMamqqcjDADh8+zM9//nOqqqrweDzk5eWRlJTU173r1KlTlJeXc+edd2Kz2fpav6urq3nttdd0P7hFl85/dXU13d3dZGdnY7PZqKmp0f14CIQIH+hVAAAM30lEQVRCIdrb2/nv//5vzpw5Q2trK/v27WPWrFnU1NTQ3t5OTk4ODoeDtLQ03nzzTVatWsXcuXM5ePAgW7dupbKykscee4zY2NhwH86I9OUctLW1sXfvXqZNm4bL5WLr1q1MnjyZmTNnsmHDBt59913y8/NZunQphw8fVg4GwJWug71797Jw4UKys7Opra3lwIED/OAHP2D8+PFs2rSJadOmsWTJEg4dOqQcjCAjomg1TZNgMMgrr7zCrl27WLNmTd94venTp+N2u6mtraWiooLvf//75OfnEwqFOHnyJAsXLqSoqIjExETy8vJ44IEHsNvtukHepPr6en71q19x3333cdddd7F9+3aysrKIjo6mtLSUSZMmERcXR3p6Oh9++CGmaVJcXMz06dPx+XzMnj2b1atX6/zfgi/nYMeOHcTFxZGWlkZnZydxcXHExMSwbt06du/ezaJFi5gxY4ZyMICudB2kp6dTUlJCSkoK9fX1/Nu//RuzZs2ioqKC5uZmli1bphwMoIaGBtauXcuaNWsoKCjgww8/pK6ujmnTphEMBjEMg7q6Orq6uigqKgJ6u03OnTtX94MB8OXz/9FHH9HU1MTs2bM5fvw4lZWVuh8PItM0MQyD8+fPU1VVxT/+4z9SVFTEkSNH+PTTT3n44Yd55513GDduHLGxsSQkJFBWVkZ3dzd5eXnMmTOHOXPmcO+99xIdHR3uwxmRrpSDOXPmcOzYMXbs2MFtt91GdXU1kZGRbNq0ierqajIyMli+fDlRUVHKwQC42nVQVlbGjh07WL16NTabDavVysKFC0lKSqKyspLa2lqKioqUgxHGFu4ArudS10ebzcb8+fN59tlnATh06BBr167l4YcfJj09nWnTplFVVUVpaSlLlixhwoQJ7N69G9M0iYuLIy4uLpyHMaJdyoFhGFRXV5Obm0txcTFutxuXy0VcXBw5OTkcPnyY3bt3Y7FYyMzMpKSkpK+bTFZWFllZWeE8jBHtWjlwOp19X+JUV1ezadMmfD4fhYWFeL1ebDYboVBIObhF17sOkpKS+paxSUtLo6uri+joaIqLiyktLVUOBsDnc1BRUcGkSZOYP38+ADNmzOC3v/0tK1as6Pt7X1ZWxpQpUwBYt24dy5Yt65uQRvrvRs7/8uXLmTdvnu7Hg8Q0TV5//XVM06SoqAi32903btgwDJ599lmee+451qxZw+LFi9m1axft7e2UlJRgs9mYOnUq0PuZSq1KN+d6OXj66af5zne+Q01NDX6/nx//+Md89atf5emnn+Y3v/kNx48fZ+HChcrBLbheDp555hm+853vUFFR0TdTcFNTE6mpqVgsFnJzcwFdByPNsG5p3b59O//1X/9Fd3c3hYWFpKWlARAMBnG5XFRVVZGcnExSUlLfwsCbNm2iu7ubN954g/nz55OXlwdoYPXN+nIODMNgy5YtnDx5kldffRWbzcbJkyc5evQoX//61zl06BClpaWcP3+ezZs3s3Llyr68yc25Xg6sVisnT56kvLyc+++/n3PnzvF3f/d3lJSUUF1djdPpJDMzU9fALbiR66CiooKysjIWLVrEW2+9hcfjobq6mg0bNrBs2TImTJgQ7sMY0b6cA4BXX32VkpISoqKiqKyspKmpierqahYsWEAoFGLz5s14vV7eeustgsEgixYtwmYb9t/VDks3cv4bGxs5e/Ysq1evJioqSvfjAXbs2DFeeOEFYmNjycrK4t1336WgoID33nuP/Px8EhMTsVgsOBwOPvjgA5544gkCgQDbt2/n7bffJioqipUrV+oauAX9ycGWLVt4/vnnueuuuygsLCQiIoLY2FgKCgpwOBzhPpQRqz852LZtGw899BB79+5l//79bNy4kaioKO6//35dByPQsC1aPR4PGzduZOnSpezZs4fCwkKio6MJBoNYrVa6u7vZt28f8+fPJzY2FpvNRkZGBjk5OXR3d7Ny5UpKSkqwWCy6Qd6kL+egoKCAjIwM5s2bR2trKzNmzOBb3/oWRUVF/OxnP2POnDncfvvthEIhampqePTRRykoKAj3YYxo/cnBT3/6U+bOncuqVatwOp0A5OXlMXHiRF0Dt6C/18Ftt93GtGnTOHv2LJWVlTzxxBPMmTMn3Icxon05B9OnTycrK4v29nb27dvHO++8g9vt5qmnnmL//v0UFBQQERHBu+++i8fj4Rvf+AZ33323PqTcpP6c/71791JYWMjkyZN1Px5gLS0tZGZm8tBDDzFp0iROnTqFzWZj1qxZvPHGG6xatQrTNElJSeHw4cPk5eUxZcoUCgsLWbBggQrWAdDfHEyaNImEhAQCgQCGYZCamqoc3KL+5ODQoUPMnDmTBQsWkJGRwaJFi/rmOJCRZ9gWrZe6scyaNYumpib27dtHcXExhmEQCoWIiori448/xuv1Mm3atL6JNxITE5k8eTJJSUnhPoQR72o5sNvtbN++nVmzZpGSkoLVaqW5uZn4+HjGjx/fNxFQcnJyuA9hxOtPDlpbW/tyYJomFotFa4AOgP7koKWlpe+b9IKCAhYtWqS/RQPgyznYu3cvixYtYubMmRQWFjJx4kTuvfde/H4/lZWVLFmyhEAgQF5eHg8++CAJCQnhPoQRrb/nv7i4GKvVqvvxAIuNjSU7O7uv+O/u7qahoYE1a9bwwQcf9M1MW1dXR0VFBcuXLwfA5XJpvN4A6U8OKisrWbFiBUBf11W5df3Nwe23347VaiUhIUFDE0a4YX0VXSp67r33XhoaGjh06BBA3zIrJSUltLa29n2DJQPv8zlobGzks88+wzAM0tPT+fnPf059fT0bNmzgxIkTGqs3SG40B8ePH+/Lga6HgdWf6+DS+GIZWJ/PQVNTEwcPHsQwDCIjI8nPzwdgy5YtOJ1OQqEQDoeDSZMmhTPkUaU/51+tGIPD6XRit9v7/r4fPny4bzze3/zN31BXV8ePfvQjXnzxRf3uD5L+5CAnJwdAa3EPMF0HY9eIuLPEx8ezfPlyNmzYwKxZs/rWdfN6vUyYMEEf0IfApRxs3LiROXPm8OCDD3LhwgXWrVuHaZp8//vfV8vqIFMOwk85CL/P52D27NkYhkFlZSUbNmwgGAzy/PPPq4fBILqR86978uC6NCFWR0cH8+bNAyAiIoLHHnuM2tpaUlNTSUxMDGeIo15/cqAu8YND18HYYwmNgK+ALk1p/T//8z8kJCRgmiZ33nknmZmZujkOkc/nIC4uDofDQUl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", "text/plain": [ - "
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" ] }, "metadata": {}, @@ -174,24 +289,90 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "running RCP26\n", - "running RCP45\n", - "running RCP60\n", - "running RCP85\n" + "running rcp26\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", + " warnings.warn(warn_msg)\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", + " warnings.warn(warn_msg)\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/core.py:436: UserWarning: magicc logged a ERROR message. Check the 'stderr' key of the result's `metadata` attribute.\n", + " warnings.warn(\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", + " warnings.warn(warn_msg)\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", + " warnings.warn(warn_msg)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "running rcp45\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/core.py:436: UserWarning: magicc logged a ERROR message. Check the 'stderr' key of the result's `metadata` attribute.\n", + " warnings.warn(\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", + " warnings.warn(warn_msg)\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", + " warnings.warn(warn_msg)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "running rcp60\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/core.py:436: UserWarning: magicc logged a ERROR message. Check the 'stderr' key of the result's `metadata` attribute.\n", + " warnings.warn(\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", + " warnings.warn(warn_msg)\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", + " warnings.warn(warn_msg)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "running rcp85\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/core.py:436: UserWarning: magicc logged a ERROR message. Check the 'stderr' key of the result's `metadata` attribute.\n", + " warnings.warn(\n" ] }, { "data": { - "image/png": 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", "text/plain": [ - "
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" ] }, "metadata": {}, @@ -200,15 +381,17 @@ ], "source": [ "# NBVAL_SKIP\n", - "results = []\n", "with MAGICC7() as magicc:\n", - " for name in scenario_names:\n", + " for i, name in enumerate(scenario_names):\n", " # note that we obviously don't need magicc_version as an argument\n", " # here as it is assigned automatically\n", " print(\"running {}\".format(name))\n", " scen = getattr(scenarios, name)\n", " scen_results = magicc.run(scen)\n", - " results.append(scen_results)\n", + " if i != 0:\n", + " results = results.append(scen_results)\n", + " else:\n", + " results = scen_results\n", "\n", "results.filter(variable=\"Surface Temperature\", region=\"World\").line_plot(\n", " x=\"time\"\n", @@ -226,47 +409,98 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "running RCP26\n" + "running rcp26\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", + " warnings.warn(warn_msg)\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", + " warnings.warn(warn_msg)\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/core.py:436: UserWarning: magicc logged a WARNING message. Check the 'stderr' key of the result's `metadata` attribute.\n", + " warnings.warn(\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/core.py:436: UserWarning: magicc logged a ERROR message. Check the 'stderr' key of the result's `metadata` attribute.\n", + " warnings.warn(\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", + " warnings.warn(warn_msg)\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", + " warnings.warn(warn_msg)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "running rcp45\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "unclosed file <_io.BufferedReader name='../../magicc/out/DAT_CH4_CONC.BINOUT'>\n", - "unclosed file <_io.BufferedReader name='../../magicc/out/DAT_CH4_TAUOH.BINOUT'>\n", - "unclosed file <_io.BufferedReader name='../../magicc/out/DAT_CH4_TAUTOT.BINOUT'>\n", - "unclosed file <_io.BufferedReader name='../../magicc/out/DAT_CH4N_EMIS.BINOUT'>\n", - "unclosed file <_io.BufferedReader name='../../magicc/out/DAT_CH4T_EMIS.BINOUT'>\n", - "unclosed file <_io.BufferedReader name='../../magicc/out/DAT_N2O_CONC.BINOUT'>\n", - "unclosed file <_io.BufferedReader name='../../magicc/out/DAT_N2O_TAUSCALE.BINOUT'>\n", - "unclosed file <_io.BufferedReader name='../../magicc/out/DAT_N2O_TAUTOT.BINOUT'>\n", - "unclosed file <_io.BufferedReader name='../../magicc/out/DAT_N2ON_EMIS.BINOUT'>\n", - "unclosed file <_io.BufferedReader name='../../magicc/out/DAT_N2OT_EMIS.BINOUT'>\n", - "unclosed file <_io.BufferedReader name='../../magicc/out/DAT_SURFACE_TEMP.BINOUT'>\n" + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/core.py:436: UserWarning: magicc logged a WARNING message. Check the 'stderr' key of the result's `metadata` attribute.\n", + " warnings.warn(\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/core.py:436: UserWarning: magicc logged a ERROR message. Check the 'stderr' key of the result's `metadata` attribute.\n", + " warnings.warn(\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", + " warnings.warn(warn_msg)\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", + " warnings.warn(warn_msg)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "running RCP45\n", - "running RCP60\n", - "running RCP85\n" + "running rcp60\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/core.py:436: UserWarning: magicc logged a WARNING message. Check the 'stderr' key of the result's `metadata` attribute.\n", + " warnings.warn(\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/core.py:436: UserWarning: magicc logged a ERROR message. Check the 'stderr' key of the result's `metadata` attribute.\n", + " warnings.warn(\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", + " warnings.warn(warn_msg)\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", + " warnings.warn(warn_msg)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "running rcp85\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/core.py:436: UserWarning: magicc logged a WARNING message. Check the 'stderr' key of the result's `metadata` attribute.\n", + " warnings.warn(\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/core.py:436: UserWarning: magicc logged a ERROR message. Check the 'stderr' key of the result's `metadata` attribute.\n", + " warnings.warn(\n" ] }, { "data": { - "image/png": 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WLVsSEhJCXl6eHDyfO3eO9PT0Jy6nvb09x48fZ+zYsXLasWPHyl3P0NCQIUOGsGHDBuzs7EhPT+eNN96Q5x85cgRHR0cmTpwop5XVL7QsR44cYciQIQwYMADQ3eRfvXqVmjVr6i0XExODRqORa1uPHz+OsbGxfP4Lq1mzJvXq1ePKlSvF+kw+C1WrVqVWrVpyTXRBv8e7d+9Sr149QNf3UnrKvqNRUVFYW1szb948Oe3nn3/WW8bJyYn9+/ej1WpLrG11dnbm4sWLT/xO3PI4Ozuzbds2rKyssLKyeqZ5g+78nzp1Sm4hkJKSwrVr1+RaYmdnZ86fP//E+yVJEkePHmX16tXy70p6ejo3b96kY8eO8nJGRkbFRuIufH4LBt86c+ZMhbZbcLzq169f7GGYIAjCy0w0DxYEQShD48aNefPNNxk9ejQbNmzg+vXrnDt3ju+//57FixcD4OXlRdu2bQkKCiImJoZz584RFBSEUqkstZbG1NSU9957j48++oiffvqJq1evsmDBAsLDw5kxY8YTlfHLL7+kefPm5S7n7u6OUqnks88+k5sGgy7ocXBw4LPPPsPNzU2vRnncuHE8evSIESNGcOHCBaKioggKCqJz58507tz5ico5adIkQkND+fzzz7l27RohISEljsxbkmHDhnHmzBlmz55NYGCgXoDSrFkz4uLiCA8P58aNG3z++eds27bticpWOK/w8HBOnTrFpUuXePvtt7l7926x5VJTUxk7dizx8fFERkby0Ucf8c4775Raczl//ny++OIL5s+fz4ULF7hy5QphYWG888478jK//PILzZs3586dO6WWb86cOUyePJmDBw+SmJhIXFwckydP5sKFC/Tp0wfQXbMNGjRgzpw5XL58maioKIKDg5+6NUCzZs1ISUnhu+++IyEhgfXr1/P111/rLTNlyhSuXbvGkCFDiI2N5caNG/z000+cOHECgE8++YTw8HB5EK4bN26we/du3nrrLbKzs5+qXKBrOl6rVi0CAwPZv38/SUlJnDx5knnz5hEZGfnU+RZQKpVMmDCBY8eOcf78eYKCgqhRowb9+/cH4MMPP+TMmTOMHDmS2NhYEhIS2L9/P+PGjSs2enNhCoWCpk2bsmHDBi5evMiZM2f0HsQUaNiwIUePHuX333/nwYMHSJJEixYtqFOnDrNmzeLKlSscPnyYKVOmVGh/JkyYQGZmJn379uXYsWMkJSVx9OhRpk2bRmxs7NMdJEEQhOdABK2CIAjl+PbbbwkODmb+/PnY29vj6enJDz/8gJ2dHaC7Af3ll18wMzOjc+fOBAYG4ufnR7NmzVCpVKXmO3/+fEaPHs2ECRPkV2L8+OOPen1KK+LBgwdcuXKl3OUsLCxwcXEhIyNDL2gFXRPhjIyMYk2Da9asyd69e/n9999xcXEhMDCQVq1aFatpq4g+ffqwbNkylixZQps2bdi4caMc+JenTZs2ODg4cPbsWYYNG6Y375133iEoKIiRI0fi6OhIdHS0XvPhJ/HZZ5/Jo6l6enpiY2NTbKRkgH79+mFhYUGnTp144403CAwMZNGiRaXmGxQUxNatW9mxYwft27fHxcWFOXPm6PVfTU9P58qVK6U29QTdg4fbt28zcuRIWrRogYeHBydOnODHH3+UX6ekVCoJDQ3l/v37ODo6MnbsWObPn19qf9PyBAYGMnPmTGbMmEHr1q3ZsmULS5cu1VumdevWHDp0iJSUFNzd3XFwcGDZsmVyTbSHhwcHDhzg/PnzdO7cmTZt2hAcHIyFhYVeE90nZW5uTlRUFC1btmTo0KE0bdqUfv36cfbs2XL7L1eEsbExs2fP5s0338TFxYX09HQiIyMxNjYGdP1ko6KiSElJwcvLi5YtWzJmzBjUanW572TesGEDWVlZODs7069fP15//XW9PrYA8+bNIzk5mcaNG1O9enXu3buHsbExoaGh3Lx5EwcHByZMmFDh75GNjQ0nTpzA3NycXr160axZM4KCgrh7926x1gSCIAgvE4X0tO2FBEEQhFJlZGRQt25d5s2bx/jx4190cQRBeEKrVq1i8uTJZGZmvuiiCIIg/L8n+rQKgiA8AxERESiVSlq0aMH9+/f5+OOPUSgUct9IQRAEQRAE4emIoFUQBOEZePz4MZ988glJSUmYmZnh5OREVFSUaHInCIIgCILwD4nmwYIgCIIgCIIgCMJLSwzEJAiCIAiCIAiCILy0RNAqCIIgCIIgCIIgvLRE0CoIgiAIgiAIgiC8tF7qgZhKeqG78O+ytrbmwYMHL7oYQgWJ8/VqEefr1SLO16tHnLNXizhfrxZxvl4tr8L5qlOnToWXFTWtgiAIgiAIgiAIwktLBK2CIAiCIAiCIAjCS0sErYIgCIIgCIIgCMJL66Xu01qUJEnk5OSg1WpRKBQvujj/k+7du0dubu6LLoZQQeJ8vVrE+Xq1/NvnS5IkDAwMUKlU4v80QRAEQSjDKxW05uTkUKlSJZTKV6rYrxSlUomhoeGLLoZQQeJ8vVrE+Xq1PI/zpVarycnJwcTE5F/djiAIgiC8yl6p5sFarVYErIIgCML/DKVSiVarfdHFEARBEISX2isVtIrmU4IgCML/GvF/myAIgiCU7ZUKWl8G2dnZvP7662g0GjltzZo12NnZ8ejRIznt+PHjDBs2DIDQ0FBsbGw4cuSIPH/37t3Y2NiwY8eOMre3bNkynJyc6N69O127diUsLExv/qpVq+jSpQvdu3fH39+fn376CYB+/frRuXNnvLy86NWrF9evXwd0fagWLVpEp06dcHd357vvvpPTP/roI1xdXfHy8iIuLq7Mcq1du5ZZs2bJ01OmTGHgwIHy9Pfff89HH31UZh5Fubq6kpaWVuIxWLVqVZnrpqSkMGzYMLy8vOjatStBQUFPtG2A69ev0717d7y9vUlKSnri9csSHx9P9+7d6d69Oy1btsTNzY3u3bvrHbOX0erVq8nJyXnRxSjRpk2b9K7Bl8mmTZuwsbHh+PHjctqOHTuoWbMmu3fvltNSUlKoX78+mzZt0ls/MzOTKVOm8Nprr+Hj44Ofnx9btmwBIDExke7du8vLnj59mt69e9OlSxe8vb2ZMmUK2dnZAPz666/4+vri4eFB9+7dmT9/PgAfffSRfD127NiRVq1albtPGzduxNPTEy8vLzw9Pdm3bx8A48ePl6/n7t2706dPHzZt2iRP29ra4unpSffu3Vm0aFGp+ScmJtKoUSN5ve7du+v9zhZ15MgR3nzzzXLLXVROTg59+/YtM29BEARBEF4uoq3tEwoNDcXPz0+vn1N4eDht27Zl165dpQYhLVq0ICIigi5dugAQFhaGvb19hbY5evRoxowZQ0JCAn5+fgQEBFCpUiXWr1/PkSNHiIyMxMLCgoyMDHbt2iWv9+WXX9K2bVt+/PFH5s2bx7p169i6dSt3797lyJEjGBgYyC8dPnDgAImJiZw8eZJTp04xffr0MgNqFxcXfvnlF3n60qVLaLVaNBoNhoaGxMbG4uPjU6H9kyQJSZIqtGxpli5dSpcuXRg1apRcnieh0WjYvXs3AQEBTJgw4R+VpSQtWrSQb/InTJiAl5cXgYGBz3w7T6rg2BsYlPz86ttvv+WNN95ApVJVOE+1Wi2a8aM75+Hh4bz22muA7neiZcuWests374dJycnwsLCGDx4sJweHBxM06ZNiYqKkr+nW7duLbaNe/fu8e6777J69WocHR2RJImIiAgeP35MQkICs2fPZv369TRq1AiNRsOPP/4IwNy5c+U8vv32W/mhVml+//13vvnmG3bv3o25uTmZmZk8fPhQnj9nzhx8fX311inYHycnJ7Zt24alpWW5x8zOzk7+nvxbVCoVbm5u7Nixg169ev2r2xIEQRAE4dkQNa1PaNu2bXrBWFJSEllZWUyZMqVYLWhh7du35+zZs+Tn55OVlUVSUlKxG9jy2NnZYWJiQnp6OgArV65k4cKFWFhYAGBhYcGAAQOKrefm5ibXHK5fv57g4GA5SLG2tgZgz5499OvXD4VCgZOTE+np6dy7d6/UsrRs2ZKEhASys7N59OgRKpWKli1bEh8fD0BsbCzOzs6ArrauW7dudOvWjTVr1gBw+/ZtOnfuzHvvvUe3bt24e/euXv6ff/45nTp1onfv3ty4caPcY3P//n1q164tTxc8EChc4w0wc+ZMQkNDAV3N7vz58/Hx8SEiIoK1a9eyYcMG+vXrB8Cbb74p11IV3OwDHDx4EB8fH7y8vOTj/fjxYyZOnEhAQADe3t7s2bOn3DIX9uWXXxIQEICXlxefffYZoKt56tatG+PHj6dTp0689957HDp0iJ49e9KxY0fOnTsHwOLFi3n//fcJDAykY8eOco1cWfl27dqVcePG4eHhwb1795gyZQp+fn54eHjIy3377bekpqbSt29fBg4ciFqtpkWLFnLe4eHhTJ48GdDVtk2bNo2AgAAWLVpEVlYWEyZMkI/H3r17y9z/orWHX375JStWrACgd+/eLFiwgICAADp37kxMTEyx9ffu3UuvXr14+PAh48ePZ9asWfTs2ZMOHTrID3K0Wi1z5syhW7dueHp6yg9lpkyZwv79+wEYPnw4U6ZMAeDHH3/k008/lc/DpEmT8PDwYOjQoRWqfe7QoQOnT59GrVaTkZHBnTt3aN68ud4yYWFhfPzxx9y6dUv+vl2/fp1Lly4xadIkve/pf/7zn2Lb+P777xk0aBCOjo6Arplpr169qFatGl9//TUTJkygUaNGABgaGjJ8+PBieYSHh5cbvKWkpGBhYYGpqSkA5ubm1KtXr9xj8CycPn2aHj164O3tTa9evUhISCi2TFRUFF5eXnTv3h0fHx8eP34MlHz9A/j6+uo9dBMEQRAE4eX2ylaHaLesQbqd+EzzVNRriMEbo0udn5eXx61bt/Ru1sLDw+nZsyeurq7cuHGDlJQUqlevXjxvhYJOnTpx6NAhMjIy8Pb25tatW09Uvri4OBo2bIi1tTUZGRlkZWXRoEGDctfbt2+ffLOclJREREQEu3fvplq1anzyySfY2dmRnJxMnTp15HVq165NcnIyNWvWLDFPpVJJy5YtOXfuHDk5ObRr146GDRsSGxtLtWrVkCQJGxsbzp8/z9atW9mxYweSJBEYGEiHDh2wtLQkMTGRFStW4OTkpJf3+fPniYiIYN++fajVanx9fWnTpk2Z+zhixAjeffddQkJC6Ny5MwMHDqRWrVrlHpuqVavKAWZCQgJmZmaMGTMG0DVLrlq1KtnZ2QQEBODv748kSXzwwQds27aN+vXry7VNn3/+OR07dmT58uWkp6fLAVbBTX5Z9u/fz507d+RjFBQURExMDNbW1ty4cYNVq1bRuHFjfHx82LlzJxEREURGRvLll18SEhICwOXLlwkPDyczMxMfHx88PT05f/58qflev36dzz//nLZt2wIwffp0qlatilqtpn///gQEBPD222+zevVquZZMrVaXuR/3799n+/btGBgYMG/ePDw8PFixYgV//vkngYGBdOnS5YlqbAuTJInIyEj27t3LihUr2Lhxozxvx44dhISEsGHDBipXrgzAgwcPCA8PJz4+njFjxuDn58f27du5fv06+/btIzU1FX9/f9zc3HB1deXUqVN069aNBw8eyE3Uo6Oj5YcSN27c4KuvvqJFixaMGjWKPXv2lBvoKRQKOnTowNGjR0lJScHHx0fvAczt27f5888/adOmDYGBgWzfvp1Ro0Zx9epVWrZsWWrtd2FXrlxh6NChpc577733ylw/KSmJ5ORkOnToUOZyrVu3pnLlyri5udGpUyf8/Pz0HjLMmTOHZcuWAboa5i+++KLcspckISFBztfNzY25c+fSpEkTfvnlF5RKJQcPHmTJkiXFugusWrWKJUuW0K5dO7KysjA2Ni71e+Xi4oK9vT1nzpx5qjIKgiAIgvD8vbJB64uQlpYm3xQXCA8PZ+3atRgYGODv78+OHTsYOXJkiev36tWL77//nkePHjFr1ixWrlxZoe2uWbOG0NBQEhISWLduXYXLO27cOFQqFfXq1ZObA+bl5WFsbMyuXbvYuXMnkyZNeuoaB2dnZ2JjY8nJycHJyYmGDRuycuVKqlW1JmbQAAAgAElEQVSrJteynjp1Cl9fXzl48/PzIzo6Gm9vb+rWrVssYAVdsODr6yu/AqLwzXFpunbtyvHjxzl06BAHDhzAx8eHAwcOlLtez549S533/fffy7V0d+/eJTExkdTUVNzc3Khfvz6gC3pB179u37598s10bm4ud+7coUmTJuWW4fDhwxw8eBBvb28AuWmntbU1tra2NG3aFICmTZvSsWNHAJo3b87vv/8u5+Hr64tKpZKbPp49e5ajR4+Wmm+DBg3kgBV01/HmzZvRaDQkJydz9epVebsVFRgYKAdaBfv05Zdf6h2Pglq/J+Xn5wfogqfbt2/L6UePHuXs2bNs3rwZMzMzOd3HxweFQoG9vT3JyckAxMTE0KtXLwwNDalRowbt27fn3LlzuLq6sn79euLj42nRogX3798nNTWVM2fOsHjxYu7du4etra1cy1y0DGXp2bMnGzdu5MGDB8ybN4/ly5fL8woeeIHut2H69Oly8/bCPvvsM3bu3MnDhw+JjY19wiNXtvDwcL3zVhqlUsmWLVs4c+YMx44dY9asWVy8eFFuSl9S8+CnUVLz4EePHvH+++9z8+bNUtdzdnZm1qxZ9O3bF39/f8zMzEr9Xrm4uKBUKlEoFGRnZ4tXzQiCIAjCK+CVDVrLqhH9t6hUKr0XzcfHx5OYmMigQYMAyM/Pp169eqUGrY6OjsTHx2NiYvJEN+8FfVr37t3L5MmTOXbsmNxU7+bNm6XWthb0aS2sdu3a+Pv7A7pAYOLEiQDUqlVLr4nuH3/8UW5NpYuLCxs2bCA3N5cRI0ZQrVo1rl69ipWVlRy0lqUitZBPomrVqvTp04c+ffowbNgwTp48SfXq1fX6yxY+f2WV4fjx4xw9epTt27djYmJCv379iq1bmCRJfPvttzRu3Pipyv7+++/L11GBxMREjIyM5GkDAwOMjY3lz2XVfBaMRlpavoX3OyEhgbVr1xIZGYmlpSXjx48vcV8NDAz0jmXRJrKF85Qkie+++w5bW9tSy1iYUqksdp4K9xsvOA6GhoZ6A+jY2tqSlJREYmKi3mBCBcepoCxlqVu3Lg8ePODIkSO4urpy7949wsLCqFq1qrxPhc+DoaFhubXOBZydnZk2bRrm5ubFjkVYWBgPHz6UB0+7d+8eN2/epGnTply8eBGtVouBgQHBwcEEBweX+ACkWbNmxMXF4eXlVWxe06ZNOX/+PM2aNSu1fBEREXz66acV2peCrgNOTk507NiR6dOn/yv9v4tavHgx7u7ujBgxgsTExBJrlidMmIC3tzf79++nR48echeAkq7/Avn5+XrXiSAIgiAIL6/n1qd1x44dTJw4kUmTJrFixQry8vKe16afmSpVqqDRaOSb9bCwMCZOnEh0dDTR0dGcOXOGe/fu6dWAFTVjxgymTZtWLH3hwoV6gyiVxNvbmzZt2sg3uePGjWPmzJlkZGQAkJWVJc8rja+vrzyi6YkTJ7Czs5Pz/vnnn5EkidOnT1O5cmW5aXDB4FFFOTk5cebMGVJTU7G2tkahUFCtWjX27t2Li4sLoOs3umfPHrKzs3n8+DG7d+/G1dW1zDK6ubnJ62RmZurVvISEhMhNYguLioqSR0zNzMzk5s2b2NjYYGNjw9WrV8nNzSU9PZ2oqKgyt10gIyMDS0tLTExMuH79utyU0MnJiZMnT8pNuwuaB7u7uxMSEiIHSBcuXKjQdgrW3bx5s9wP7+7duyWOolyWPXv2kJubS2pqKtHR0bRt27bC+WZmZmJubo6FhQX37t3j0KFD8ryCQXdAF7RaWlqSkJCAVqvVGwW3qK5du/L999/L0wXH486dO3oDDhWoXr06ycnJ/Pnnn+Tk5Mh9TMtTr149Vq9ezbhx47h27VqZy7Zv356IiAi0Wi0pKSnExMTID3XatWvHd999JzcX/uabb8q9TkE3ivb69etLna9QKJg+fXqx7/zVq1fRaDScPn1a/v0YM2YM4eHhNG7cmBYtWvDpp5/K7+/MyckpMfgeOXIkmzdvlvs3S5LE9u3bSU1N5T//+Q8rVqwgMVHXjUKj0eiV9fLly+Tk5Mj9YQuW6datW7Ht3L17V++avnjxInXr1i33+JQkNjZWflhWEY8ePZL7q5c0GBXomjnb29szfvx4WrduzY0bN8q8/lNSUqhVq1aFmmALgiAIgvDiPZea1rS0NHbt2sVnn32GkZERy5cv5/jx43Tt2vV5bP6Zcnd359SpU3Tp0oWIiAg2bNigN9/X15fw8HC9G8HCSrohhL9fiVKe4OBgxo4dy5AhQxg+fDiPHz/G39+fSpUqoVQqeeedd8pcf+zYsYwbN441a9ZgamrK0qVLAfD09OTAgQO4urpiYmIiN2NMS0srtaaqSpUqVKtWTa8mx8nJiZiYGHkgpNatW8t9JAEGDRpEq1atymxe2bp1a3r06EH37t2xtrbGwcFBnnf9+nU5IC4sLi6ODz/8EKVSiVarZdCgQfJ6PXr0oFu3btSvX79Cr/YAXdC1YcMG3N3dadSoEe3atQOgWrVqLFmyhFGjRqHVarG2tmbLli1MmDCB2bNn4+XlhVarpV69emUGM4V5enpy/fp1evToAYCZmRlfffVVhdYt0KxZM15//XUePnzI5MmTqV69eoXzbd26NU2aNKFLly7UrVtX7/gOGTKEN954gzp16hAaGsqMGTMYMmQI1apVo02bNqU+fJo4cSKzZ8/G09MTrVaLra0tISEhJCcn69WgFlCpVIwfPx5/f39q1apVoWbVBZo2bcoXX3zB6NGjyzzmgYGBnDlzBi8vLxQKBbNnz5YHImvfvj0nT56kXr161KxZk4cPH1YoaL127RqdOnUqc5mSakHDwsKKNactGLn6vffeY/ny5cydO5fXXnuNqlWrolKpSny9T61atfjqq6+YNWsWDx8+lPvRenl50apVK2bPns2YMWPkmvPCg8gVbp5cIDU1tcTvu1qtZs6cOdy/fx8jIyOqV6/O4sWL5fmF+7SC7pVeJZ1n0D24eJK+zWPHjmXixIksX74cDw+PEpdZtWoVp06dwsDAgBYtWuDu7o6RkVGJ17+VlRXHjx/H09OzwmUQBEEQBOHFUkj/9F0jFZCWlsbMmTNZunQpJiYmLF26FD8/v2JNV4sqOqLs48ePn3mT0icVFxfHt99+W+H+qBU1ePDgYu9qfBGUSqVe08d9+/Zx69Yt3nrrrRdYqr8NGzaMtWvX6jXX/P9MqVQyf/58rKysGD36+TeZf1IF7zT+XwkYgoKCCAkJqfArfop+v142u3fvJjk5mREjRvxr25g9ezZDhgx54j7Tz9LIkSOZPXt2uc3Xn9f5ehn+b/tfYW1tLb/KTXj5ifP1ahHn69XyKpyvwoPAlue51LRaWVnRo0cP3n33XYyMjGjbtm25AevLqnXr1nTs2FF+H+mz8jIErCWpSO3v81TR2kvh5fQqBNZPomhLi1fdsxhMqTwff/zxv76NsuTm5hIQEFDh/taCIAiCILx4z6WmNTMzk2XLlhEcHIypqSnLly/Hzc2tWF/JX3/9lV9//RWARYsWFWt6eO/ePTFwhiAIgvA/JTc3t9TXiwlP5mVvzSDoE+fr1SLO1z+n1Upo1BIajYRarUWj0X0uSNNoJLRFpjUabZHpovP/WkcjoSmUp1YDjZtb0Lpd1Re926V6kpaTz6WmNS4ujho1asivi3F1deXq1avFglYvLy+9/l9Fq7SLjigqPHviB+nVIs7Xq0Wcr1fL8zpfubm5L30TrlfFq9AcTvibOF+vlv+186XV6gI7XZDH34Gf/Bk5+CuaXnjZwsuUl9+zqCo0MARDAwUGhmBgAAaGCgwNweCvNENDBZWMwMREhUabzYMHmvIzfUFeuubB1tbWXLt2jdzcXIyMjIiLi3vq9zUKgiAIgiAIgvC/SZIkJC2oNRIa9V9BoPzvX4FiQU3jX+nqUtLlNPXfAWbB538SQOqCRV2AWBA06j6DoVKBkTEYGBoUSi+yTAmBZmkBqJxuAAqDv19rWJ7/tYcMzyVobdKkCW5ubkydOhVDQ0NsbW1LHFFTEARBEARBEISXn6SVUP8VFKrVEup8XbCo/itIVKsl1Oq/52uKTpcUZP6DgNLwr4Dx738VGCqhkpEClenfAaS8TEGAWORf/cCyUPBYkGYACoOKBY7Cs/NcglaAAQMGMGDAgOe1OUEQBEEQBEEQ+CvAVEvk5/NXcFkQVBYNNCl1niQ9JjdXLc/XPkGrU4UClJV0QaSyIHAsCCiVuoBSWSjQLBZcFk37a1ml8u+AsqI1kMKr6bkFrf8rsrOzGTp0KFu3buXu3bsMHz6cAwcOcPz4cfr378/SpUsZPHgwABcuXMDHx4ePPvqIMWPGALr3HTo6OjJo0CBmzJgh56tWq1m6dCk7duyQX30QGBjI+++/D0C9evVo3ry5vHyvXr0YN25cqeVctmwZmzZtwsrKivz8fCZMmEDv3r3l+atWrWLTpk0YGxtTqVIlRo4cSf/+/enTpw/JyckYGxtjZmbGsmXLaNy4MePGjePcuXNUqlQJBwcHFi9eTKVKlQA4fvw4s2fPRq1WY2VlxX//+99Sy7Vnzx5CQ0P5/vvvAVi5ciVbtmzh2LFjAOzdu5dNmzaxbt26Cp+Tfv368dFHHxUbkTo0NJTz588zf/78UtfNzs7mgw8+ID4+HkmSqFy5Mhs3bsTMzKzC209NTWX48OHk5eUxd+7cCr3fs6LS0tIYOHAgACkpKRgaGmJlZQVAZGRkhV+18rxt2bKFbt26UaNGjRddlGKOHDnCunXr5GvwZXLkyBEGDRrE8uXL5fN+7tw5/P39mTNnjjz6cl5eHo6OjgwbNoypU6fK6+fn57N06VIiIyMxNTVFoVDQs2dPxo0bh1qtpnXr1sTHxwO6dx7PmTOHxMREzM3NsbOzY+7cuVhbW3P69Gnmzp1LWloaKpUKBwcHPv74Y7777jvCw8MB3W/WjRs3uHDhgjxeQUn27NnDp59+iiRJqNVq3n77bQYPHszixYvZunWrfD0DTJ48mU8//RSApKQkatWqhUqlolWrVnz22Wcl5q9Wq2nYsKHe7+O6deuwsbEpcfnExETefvtt9u3bV+75KGrAgAGsXbu2zP0VBEF4ViRJQqvVBZnqfIn8/IIazb/TdIHo358L5v297N/BZ0UVBIVK5V9BoVKBspICU9NKaLSSLrj8a76hEr1peXk5TTffwFAElMI/83Le8b7EQkND8fPzK3FAqObNm7N9+3Y5aA0PD8fe3l5vmSNHjmBnZ8eOHTuYPn26/FRoyZIl3L9/n/3796NSqcjMzGT16tXyeiqV6olvskaPHs2YMWNISEjAz8+PgIAAKlWqxPr16zly5AiRkZFYWFiQkZHBrl275PW+/PJL2rZty48//si8efNYt24dffr0kd9NO3bsWDZt2sTw4cNJT09nxowZbNy4ERsbm3Lbzjs7O+vdZJ8+fRpzc3MePHgg3yw7OztXeB81mn/WuXzt2rVYW1uzf/9+QHcj/ySBoFqtJioqiubNm8s328+SlZWVfN6XLVuGmZmZ/ADkRSvrtU9btmyhVatWTxS0qtXqlzYIf55atGjB9u3b5aA1LCys2O/IoUOHaNKkCREREXrfp4ULF5Kens6BAwcwNjYmMzOTb7/9ttg2srOzGTZsGHPnzpXfmXv06FEePnyIRqPh3XffZfXq1Tg6OiJJEhERETx+/Jhx48bJD8t27drF+vXrywzgcnNzmT59Ojt37qRWrVrk5uby+++/y/PHjBlT7DVIPj4+APTu3Zt58+bRqlWrco+Zubn5UwWhT6pPnz5s2LCBsWPH/uvbEgTh1afR/BVs5umCyML/FgSWBWnqQn/5auRgU9KWv52CWkxlJQWVlLrPxioFZkqDv9Mr/RVA/jVdNKgsHISWVmP5v9ZHUni1iDvEJ7Rt2za++uqrEufZ2NiQmZlJSkoK1tbWHDx4UL4hLBAWFsZbb73F+vXriY2NxcXFhezsbDZu3Eh0dDQqlQrQ3YRNmjTpmZTZzs4OExMT0tPTsba2ZuXKlfz8889YWFgAYGFhUWLTbTc3N9auXQugtx8ODg788ccfAPzyyy/4+fnJtRrW1tZllqVatWqYm5uTmJhIw4YNSU5Oxt/fn9jYWHx9fYmNjWXKlCmA7litXLkSSZLw9PRk5syZgK6P9NChQzl69CgLFizQyz80NJSVK1diaWmJvb19uUNp379/X69GpnHjxgDcvn1brkUHXc10VlYWkyZNol+/ftjb2xMTE0OvXr347rvvyMnJ4dy5c0RERPDxxx9z7tw5cnJyCAgIYPLkyQCcPXuWWbNm8fjxY4yNjQkNDcXExIQFCxZw4sQJ8vLyGD58OEFBQWWWuej+fv/99+Tl5eHs7Mz8+fPRarW0bt2agQMHcvjwYWrXrs3kyZOZP38+d+/eZd68eXh6erJp0yb279/Pn3/+SXJyMv3792fChAkAbN26lR9++KHEfPv378/x48dZtGgRhw4d4sCBA+Tk5ODi4sKiRYuIiIjg4sWLvPvuu6hUKiIjI+nQoQMHDhzA0tKS06dPs2TJEkJDQ1m8eDF37tzh5s2b1K9fn88++4x58+YRExNDbm4ub775pvwQqCRFaw/Dw8M5evQon376KePHj6dq1aqcPXuWlJQUZs2ahZ+fn976Z86cYfr06axZs4bNmzdz//59kpKSuHv3Lu+88w4jRowA4Ouvv+bnn38GYOjQobz55pusXLkSCwsLRowYwYcffsiNGzfYvHkzhw8fZtu2bSxbtozWrVsTFBTEgQMHMDExYf369VStWvbQ8/Xr1yc1NZW0tDSqVKnC0aNH8fDw0FsmPDyct99+mzVr1vDbb7/h6OhIZmYmP/30E9HR0fKrwczNzZk4cWKxbfz3v//Fzc1N73vduXNnQBf4Dho0CEdHR0B389KrV69ieYSFhem13ihJRkYGkiRRpUoVAIyNjZ/bIHxJSUkEBweTlZWFgYEBCxYsoF27dnrLxMfHM2nSJPLz85Ekie+++44GDRrI139+fj5OTk7Mnz8fAwMDfHx8GDBggAhaBeH/Ca22UGCZp/+5aNAppxVM55fffFZhAJUKAsq//kzMFVRW/j2tC0QLT+uCzL8DUdE0Vvj/4ZUNWtfG3iPxYc4zzbNhVRWjnEt/V15eXh63bt2iXr16pS4TEBDAjh07aNWqFa1bt9YLmnJycoiKimLx4sU8evSI8PBwXFxcSExMxMbGBnNz81LzzcnJoXv37vL0uHHjSryRLElcXBwNGzbE2tqajIwMsrKyaNCgQbnr7du3T6/JHeiaH/73v//lk08+ASAhIQG1Wk2/fv3IzMzkrbfeon///mXm6+LiQmxsLBqNhoYNG9KuXTsOHz6Ml5cXly5dom3btiQnJzN//nx2796NpaUlgwYNYvfu3fj6+vL48WMcHR2ZPXu2Xr737t3j008/Zffu3VhYWNC/f/9ya2kGDhzI4MGDiYyMpFOnTvTv3x87O7tyj01+fr5cO121alW9ZshTp06latWqaDQaBg4cyKVLl2jcuDHvvvsu33zzDQ4ODmRkZKBSqdi8eTMWFhbs3LmT3Nxcevfujbu7O/Xr1y+3DJcvX2bnzp2Eh4ejVCqZMmUK4eHh9OjRg0ePHtGtWzfmzJnD8OHDWb58OaGhoVy6dImpU6fKwcrZs2fZv38/RkZG+Pv74+XlhVKpZPfu3aXm6+bmJp//Ro0aMXnyZCRJYuzYsRw8eJBevXoREhJS4VqyGzdu8N///heVSsW6deuwtrYmMjKS3NxcevTogbu7e6lNPcvz4MEDwsPDiY+PZ8yYMXpBa3R0NHPmzCEkJEQecj0hIYHQ0FAePXqEu7s7QUFBnDt3jm3bthEZGYlGoyEgIIAOHTrg6urKunXrGDFiBHFxcajVajQaDdHR0bi5uQHIx2vGjBnMmTOHzZs385///Kfccvv7+7Njxw6aNGmCo6OjXg10dnY2J06cYNmyZdy/f5+wsDAcHR1JTEykXr16cveCsly5coU2bdqUOm/o0KFlrp+VlUVUVBRLly4tczlra2vc3d1xdXWlU6dOdO/enZ49e2JgYADoHgZt3boV0LUqCA0NLbfsJcnMzJR/H21tbVmzZg01a9Zk8+bNqFQqrl+/zoQJE9ixY4feej/88APvvPMOvXr1Ijc3F0mSuHz5snz9q1QqJk6cSHh4OH369MHKyoqsrCzS09OxtLR8qrIKgvD8SX8Fn3l5Evm5f/2bV/Cvlrzcv6cLPhcEn2VRKHR9MitVUlDJSBdIqkwN5OmCgLSSkQJloeUK0kWwKQgV98oGrS9CWlpauX2ZevTowbvvvsv169fp3bs3sbGx8rxff/2V1157DRMTE/z9/VmxYgUff/xxsTxCQ0NZu3YtDx8+JDw8HBsbm6dqHrxmzRpCQ0NJSEh4oj6i48aNQ6VSUa9ePebOnas3b8aMGbi6usr9NjUaDefPn2fr1q3k5OTQo0cP2rVrV2ZtirOzM7GxsWi1WpycnHB0dGTFihVcuHCBRo0aoVKpOHfuHB06dKBatWoA9O3bl5MnT+Lr64uhoSEBAQHF8v3tt9/01unZsycJCQll7murVq04ceIEhw8f5ujRowQEBBARESHXeJemZ8+epc7bvn07GzduRKPRcO/ePa5du4ZCoaBGjRo4ODgAyLXchw8fJj4+nsjISEBXM5WYmFihoPXo0aOcPXtWDsRycnKoXbs2oGtOXvAe5ObNm1O5cmWUSiXNmzfn9u3bch7u7u5yLZiPjw8xMTGo1WrOnTtXYr5GRkZ6gV9UVBSrVq0iNzeXtLQ02rRpQ7du3cote2He3t7y8T5y5AjXrl2T+01mZGSQkJDw1EGrj48PCoUCe3t7kpOT5fQrV64wY8YMNm/erNeE2cvLCyMjI6ytralSpQqpqamcOnWKgIAATExMAPD19SU6OppBgwZx7tw50tPTMTMzw9bWlri4OE6dOsXrr78O6M5DwfFo06YNMTExFSp3z549ee+997Czs6NXr15yn2/Q9fvu3LkzKpWKHj164OvrW+wBDsCmTZsICQkhLS2NnTt3yt+LZ2HPnj24ublVqG/nihUruHTpEkePHuXLL78kKipKbkpfUvPgp1FS8+Dc3Fw+/PBDLl26hKGhITdv3iy2nrOzM1988QV37tzBz8+Phg0bcvToUfn6VygUZGdny9c/6FqL3L9/XwStgvCCSJIuoMzN1QWYeblacnP+/pxXLCjV/ZWlkpECIyNdQGlkrMC8ssFf0wZyuvxXKEA1FEGnIDw3r2zQWlaN6L9FpVKRm5tb5jI1atRAqVRy5MgRPvnkE72gNTw8nFOnTskB38OHDzl27BguLi7cuXOHzMxMzM3NGThwIAMHDqRbt25otRXozFCKgj6te/fuZfLkyRw7dgwLCwtMTU25efNmqbWtBX1ai1q+fDmpqalyk2GA2rVrU7VqVUxNTTE1NcXNzY1Lly6VGbS6uLgQEhKCVqtl8ODBmJubk5uby4kTJyrUn9XY2LjUvpRPw8zMDH9/f/z9/TEwMGD//v307NlT79jn5OjX6pdWm3Xr1i1Wr15NZGQkVapUYcKECcXWLWrevHl07dr1icstSRKDBg2Smx8XUKvVejX8BgYG8rSBgYFeP+Ci/9kqFAokSWLgwIFyM+3C+apUKnmd7OxsPvzwQ3bv3k3t2rVZvHhxqfuqVCrl41n0O1T4WEqSxIIFC+SmquUxMDBAKjQuftHtFzSTLci7QM2aNcnKyuLSpUt6QWvh42ZoaIhaXfrIFcbGxtSqVYuff/4ZFxcX7OzsiIqK4vfff6dRo0bFzkN5+RVWu3ZtJEni5MmTLFy4UC9oDQsL48yZM/LvSFpaGidOnKBt27bcunWLx48fY2pqyuDBgxk8eDBdunQp1ve7adOm/PbbbyVuu1mzZsTFxZX5WrLw8HA5MK8Ie3t77O3t6dOnD127dv1X+n8XtXr1aurUqcPKlSvJz8+nadOmxZbp168fTk5O7N+/n6FDh7Js2TK961+pVBY7Zzk5OeU+1BIEoeIk7d81nLmFAk9dIKotlp6XK5X6OhRlJTAyMpCDTzPzvz8XDkB1038FqpUU4vUlgvAKMHjRBXiVVKlSBY1GU24QMnnyZGbOnKkXWGVkZBAdHc2pU6eIjo4mOjqaBQsWEBYWhomJCYMGDWLmzJly3hqNhry8vHLLtHDhQr1BlEri7e1NmzZt+OmnnwBdTerMmTPJyMgAdE39CuaVZtOmTRw6dIivvvpKbtoHupqsU6dOoVaryc7O5rfffqNJkyaAbqTNgr6vhTVp0oTk5GROnTolNx+1t7dnw4YNuLi4ALp+sydPniQtLQ2NRkNYWBgdOnQos4yOjo7yOvn5+XpNAXft2sXChQuLrRMTE8Off/4J6Jp/X716lbp161K9enUePHhAWloaubm5/Prrr2Vuu0BGRgYmJiZUrlyZlJQUDh48COia0d6/f5+zZ88CuuaMarUad3d31q9fT35+PqBrKvv48eMKbatz585ERESQlpYG6IKXO3fuVGjdAocPHyY9PZ3s7Gz27t2Ls7MznTt3Zvv27eXmm52djYGBAVZWVmRmZrJz5055nrm5OVlZWfJ0vXr1iIuLA9BbrqiC41EQKFy/fp3s7Gw0Gk2JNbgGBgZYWlqSkJCAVqtl9+7dFdrvKlWqsH79eubOnUt0dHSZy7q6urJr1y6ys7PJyspiz549csDYvn17Vq1ahaurK+3bt2fdunWlNrstbMeOHSxZsqTMZaZMmcLMmTP1vm/p6emcOXOG2NhY+Xfkk08+ITw8HHNzc3kk7YIHA2q1usRAuV+/fpw4cUK+PgGOHTvGtWvXGDlyJJs3b+bcuXOALtjfvn07qampAPz555/ExsbqdVcoyDMlJUUvLSMjg5MnT8rTFy9efOpa8zt37hBFlLMAACAASURBVJTZv7mojIwMatSogUKh4KefftJ7aFHg5s2bNGzYkFGjRuHp6Ul8fHyZ179Go+Hhw4dPvQ+C8P+FJOn6d2ZmaEi9r+burTwSruYSfz6bs9GPOXk4k8N7MtgSksiOn9PZG/6IQ7szOHEwk9PHHxN3OpurF3O4czOf9IcatFoJM3NDatapRKPmxrR0UOHoaoqruxldvM3x6lEZ/36W+PWtgmdgZbp4W+Dmbk67Dma0djKlWSsT7JoaU9fWiJp1KlG1mhJzC0OMjA1EwCoIr4hXtqb1RXF3d+fUqVNy08uSFARehe3atYuOHTvq1fx4e3szb948cnNzmTp1KkuXLsXT0xMzMzNUKhX9+/enZk1djXLRPq0eHh7MmDGD+Pj4YjePJQkODmbs2LEMGTKE4cOH8/jxY/z9/alUqRJKpZJ33nmnzPWnTZtG3bp15Wax/v7+BAcH06RJEzw8PPDy8sLAwIBBgwbRvHlztFotSUlJctPTwhQKBY6OjmRkZMivzXFycmLjxo1yTWvNmjWZMWMG/fv3lwdiKhhVtDQ1a9Zk0qRJ9OzZE0tLS1q2bCnPu3nzZol9hpOSkpg+ffpfw8pr8fT0JCAgAIVCQXBwMIGBgdSqVUseoKk8LVu2pFWrVnTp0oU6derI14KRkRHffPMNH374oVxTExoayuDBg7l9+za+vr5IkoSVlVWFX8XSokULJk2axMCBA5EkCaVSyaJFi+RrpiIcHBx488035YGYCh4iTJw4sdx8rays6N+/Px4eHtSoUUMeuAd0DywmT54sD8Q0ceJEPvjgAywtLct8JVBQUBB3797F29sb0DXFDAkJITU1tcSgA3RN1ocMGUK1atVo06ZNhR72gO56WbduHUFBQXz++eelLufo6Ejv3r3lJunDhg2jRYsWgC6gXbVqFe3atUOlUlGpUqUKvfIoKSnp/9i77/go6oSP45/dbDqdBCKhhBI6AQwl1ABJCB1REIRHQe9QUbDhwVEEThEFGx6eXfB4FOGxEUDpLQoaSEB6CzXSTQiE9Ozu80cucyzpCCSB7/v18iW7OzP725nZzHz314wm4vlp165drud+/PFHunbtanxvILu58uzZs3n11VeZPHkyc+bMoXv37pQrV874Qczb29thO+7u7vz73/9mxowZTJ06FWdnZ5o1a8bLL79M1apV+de//sW0adO4dOkSJpOJDh06GDWvP/74Iz169DCaS0N2mDt16lSu5sJ2u5333nuPv/3tb7i5ueHp6cnbb79tvH5tn1YoeKqac+fOFauFxahRo3jiiSdYvHgxISEheQ7K9v333xt9t318fBg/fjwVK1bM8/z39fXlt99+o23btg4/JIjcbTIz7aSl2EhNtZGWYiMt1U56WnYT3bQ0G+n/eZzX4P4mE7i6mXB1M+PuYcKnhgd20nFxNePqasLFzYSrqxkX1+zaULMCpYj8h8me351gKXDmzBmHxznN3krSnj17+Pjjj43pX0ra8OHDWbRo0U3bXl7N4W7EwYMHWbx4MTNmzPjzhboJxo0bx4wZM25qv77S4M8cr0WLFnHw4EFjUKXSbNWqVZw7d84YzbesyjleTz31FDNnznSYo7Qs27t3L0uXLmXq1Km37D0++eQT6tWrl2tE9lvp+u/X5MmT6d+/f6GtPoqrNFzb7hSakuPG2e3ZTW/TUm2kpmT/P/vf2cE0J6jmNd+ns4vJCKNu//m/q3vuxy4uJoduKTpeZYuOV9lSFo5XzkCYRaHQegMWL17MkCFDbmq/ytLiZoVWuT3ultB6p9D3q2y5/ngtWrSoWE2Ui6q0XNvuBGXhJq2kWK3ZwTMlxUZqso2U5OxAmpJsI+0/IfX6YTRyakbdPcy4uZtxc//Pv//z2N3dhKu7GSenG6sR1fEqW3S8ypaycLyKE1rVPPgGDBs2rKSLIPKn3Yqbb5E7mb4zUppZs+y5Aum1/05Lva6OwgRu7iY8PM1UruqEu4dzdjD1MOHunh1MXV01SJGIlA4KrSIiIiJlQGaGneSrVlKu2kj+z38pV60kX80dSk0mcPcw4+5pxru6M+6eZjw8Tf/5f3ZNqfqMikhZodAqIiIiUkrY7XZSU+wkXbFy9bKVK5etXL2SXWOake4YTF3dTHiUM+NV3YJnOSc8PM3/DaVuqiUVkTuHQquIiIhICbDb7SRftZEYbyUxIYvEBCtJl61c2/Xd1c1EuQpO+Pg641nOjGd5Mx6eTniWM2NxVigVkbuDQquIiIjIbWC12kmMtxJ/MYv4i1lcTrCSmZlde2p2goqVnajp50L5ik6Ur+BE+YpmXFw1xZKIiP4SFlNqaioPPPAAVquVuLg4fH19mT17tvF6QkICderUYcqUKQC89dZbBAYGEhYWZvx3+fJlUlNTGTt2LCEhIfTo0YP77ruP5ORkAN59911j7tOwsDB27NiRa/sLFy50KFdycjJ///vf6dixI+Hh4fTq1Ysvv/wSgLi4OOrXr+9Qhq+//rrAz/ncc88RFBREWFgYoaGh/PTTT8ZrmZmZzJo1i06dOhEeHk7//v3ZsGEDkD1vZUhICKGhoTz00ENcuHABgKVLlxrPjxgxgoSEhDz3z/r16wss1/Tp0/nkk0+Mx8OHD+fFF180Hv/jH//go48+KnAb1/P39893H6xYsaLAdWNjYxk8eDBhYWEEBwczYcKEYr03QFRUFN27dycsLIzU1NRir1+QTZs2GfvW39+fLl26EBYWxjPPPHNT3+dmstlsvPfeeyVdjHzNnj3b4RwsTWbPno2vry9xcXHGcx9++CG+vr7s3bvXeG7Xrl34+voSGRnpsP758+cZM2YMHTp0oFevXgwYMIA1a9YAEBkZyWOPPWYsu27dOnr16mWcu6+++qrx2pIlS+jRo4cxv/LHH38MwOjRo43zsV27dvTu3bvQz/TOO+8Yfw979uzJb7/9BsB9991nnM9hYWE8+eSTvPPOO8bjWrVqGf/+/PPP891+ZGQkjRs3NpYtbLClRYsWMW3atELLfb0LFy7w8MMPF3s9KdtsNjsJF7M4vC+NrRuvsur7y2zdeJVDe9PISLNxTy1nAtq407VneXrfX5HOIeVpEeiBXwNXqlazKLCKiPyHalqLacmSJfTu3duY7qZ27dqsX7+eiRMnArB8+XIaNmzosM7o0aN58sknHZ6bN28eXl5eRkiLjY3FYrEQHR3NunXrWLVqFa6uriQkJJCRkWGst3z5cu69914iIiJ45JFHjOdffPFFateuzc8//4zZbCY+Pp7Fixcbr9epU4e1a9cW67NOnTqVfv36sWXLFiZMmMCWLVsAeOONNzh//jwbNmzA1dWVixcv8ssvvxjrff3111SpUoXXXnuNefPmMX36dKZNm8amTZuoUqUKM2fOZMGCBYwfPz7f/ZOftm3bsnz5ckaPHo3NZiMhIYGkpCTj9ejo6CLPDZuVlYXF8ue+AtOmTWP06NGEh4cDcODAgWKtb7Va+e677xg7diwPPPDAnypLXrp160a3bt0AGDx4MC+99BItW7a86e9TXAXte5vNxr/+9S/Gjh1707Z5N2nSpAkRERHG/vvhhx9y/TCzdOlS2rVrR0REBF27dgWymyk+9thjDB8+nA8++ACAU6dOGT9IXWvfvn1Mnz6dhQsXUr9+faxWK1988QUAa9eu5fPPP2fx4sVUq1aNtLQ0vvvuOwCHsD9t2jS8vLwK/CxRUVFs3ryZ1atX4+LiQnx8vMMUNB988AHNmzd3WOf5558nKyuLFi1aFPlvXseOHZk/f36Rlr1R1apVo1KlSuzYsYN77733lr6XlKz0NBsXz2Vx/mwmF89lkZmRXZNaoZITfvWzw2gVLycFUhGRYtBfzGL67rvvjIAC4O7ujr+/P7t27QKyQ2X//v0L3c6FCxfw8fExHjdo0ABXV1cuXLhAlSpVcHV1BaBKlSoOy0VERDBt2jTOnTtnzGN74sQJfvvtNyZOnIjZnH1Iq1atytNPP/3nPzAQGBjIuXPngOya5i+//JKZM2caZfT29mbAgAG51gsKCuLEiRPY7XbsdjspKSnY7XaSkpKoXr36DZWlTZs2xMTEAHDo0CEaNWpEuXLlSExMJD09ndjYWFq0aIHdbueVV14xansiIiIA2Lp1K4MGDWLUqFFGmMtht9uZMmUKXbp0YejQocTHxxdangsXLnDPPfcYj5s0aQJk/7iRU9sO8Mgjj7B161Ygu2b3H//4B6GhocybN48VK1bwxhtvMHbsWJKTk3nwwQcJDw8nJCSE1atXG9v4+uuvCQ0NJTQ0lHHjxgHwxx9/MHr0aPr06UOfPn3Yvn17kfdlVlYWM2bMoG/fvoSGhrJo0SIgu+Zp8ODBjBo1ig4dOjB79my+/vpr+vTpQ2hoqFGLN27cOP7+97/Tq1cvOnfubISbwrb7yCOPEBISAsDIkSON2rqc5WbNmsXVq1eNGuHjx48TFhZmlPu9995j7ty5QHZt2/Tp0+nduzcLFizg4sWL/PWvf6V379707dvXOFfyc33t4cSJE/n222+B7PP+rbfeomfPnoSGhnL06NFc6//73//m4YcfJi0tjfvuu49Zs2bRt29funTpYhyL1NRUnn32WaOlwa+//gpktxI4fPgwACEhIfzzn/8E4LXXXmPJkiVERkby4IMP8te//pUuXboUuXa8d+/erFq1CoCjR49SpUoVKlWqZLxus9n48ccfmTt3Lhs3bjR+FNu8eTOenp6MGDHCWLZ27dqMGjUq13u8//77PPfcc9SvXx8AJycnRo4cCWD8UFWtWjUA3NzcctVe2mw2VqxYwcCBAwv8LOfPn6dq1aq4uLgA2X/XbvRvR3GtXr2aXr160bNnTx566KE857qLiIigR48ehIaGMnjwYCD/8x+gV69efP/997el/HJ7pSRbOXowjZ/XJbEm4go7o1L443wWPjWcCezoQfigCgSHl6dZa3d8fJ0VWEVEiqnMVkvs3ZHClUTrTd1mhUpONL83/wneMzIyOHXqFLVq1XJ4fuDAgURERODl5YXZbKZ69eqcP3/eeP2TTz4xboQrVqzIN998w9ChQxk+fDg//PADnTt3ZsiQIdSrV4/g4GDeeecdOnfuTJcuXRgwYAAdOnQA4PTp05w/f57WrVvTr18/li1bxpNPPsnhw4dp2rSpEVjzcvLkSYcb/5kzZ9K+ffsi7ZdNmzbRq1cvAI4fP46vry/ly5cvdL1169bRuHFjnJ2dee211wgJCcHDw4O6desya9YsY7kFCxbwzTffEBAQwLRp0xxusK/n4+ODxWLh9OnTREdHG4E6JiaGChUq0LhxY1xcXPjhhx/Yt28fa9euJSEhgT59+hAUFATAnj172LBhA7Vr13bY9sqVKzl69CibNm3i4sWLdO/enaFDhxb4GUePHs2DDz5ImzZt6Nq1K0OHDqVixYoFrpOSkkLr1q2ZPn06kP2jQ2hoKP369SMrK4vPPvuM8uXLk5CQQP/+/enZsyeHDx/m3XffZdmyZVSpUoVLly4B2bXho0ePpl27dpw+fZrhw4ezefPmAt8/xxdffIGXlxc//PAD6enp9O/fn+DgYCC7xnjTpk2UL1+eoKAgRo4cyY8//siHH37IggULjOaRZ86c4ccff+TYsWMMGzaMLVu28NVXX+W73V27drFp0yZ8fX0BmDt3LpUrVyY1NZXevXvTp08fJk+ezFdffWXUkh0/frzAz2Gz2Vi5ciUATz75JGPGjCEwMJC4uDhGjhyZZ01hUXl5ebFmzRo+++wzPv74Y4euAJ988gm//vorn332mRGq7HY7P/zwA2vWrGHu3Ll8+eWXzJ8/H1dXV9avX09sbCzDhw/n559/pl27dkRFReHt7Y2rq6sRcrdt28ZDDz3EqVOn2Lt3Lxs2bMDb25v+/fsTExNDYGBggWWuUKEC3t7exMbGsmzZMgYOHOjQnSAqKor69etTp04d2rZty8aNGwkPD+fQoUO0aNGiSPvl0KFD+Ybow4cPExAQUOD6W7dupUaNGtSpU6fA5bp3784///lPunTpQpcuXRg4cKDD360xY8bg5uZmLDt58uQilT+v8uT8fRw4cCBjx46lffv29OnTB6vVysKFC/noo48cfogCePvtt/nmm2/w9vbm8uXLQP7fK19fX1q2bMm77757Q2WU0iflqpUzv2dyNi6TxITs+5GKlZ1o1NyNavdYqFjZCZNJAyWJiNwMZTa0loSEhAQqVKiQ6/lu3boxZ86cfGsc82r+2rx5c3755Rc2b97MTz/9RN++fVm2bBn+/v6sWrWKqKgotm7dypgxY5g0aRJDhw51qMUdOHAg48ePz7NZ7bvvvsuKFSuIj483+sPeSPPgmTNn8vrrr3P27FmWLVtW5PWGDBmC2WymSZMmTJgwgczMTBYuXMjq1aupU6cOU6dOZd68eTz33HM88sgjPPfcc5hMJubMmcPLL7/M22+/XeD227RpQ3R0NNHR0Tz++OOcO3eO6OhoKlSoQNu2bYHsG//77rsPJycnvL29CQoKYteuXZQrV45WrVrlCqwAv/76q7GOj48PnTp1KvSzDh06lODgYDZt2sTq1av54osvCt3PTk5O9O3bN8/X7HY7r7/+OlFRUZhMJs6dO8fFixfZsmUL/fr1o0qVKgBUrlwZyK4pPHTokLH+1atXSU5OxtPTs9CyR0ZGcuTIEaMWOikpiWPHjgHQunVrvL29gezatpzQ2aRJE4fay/79+2M2m2nQoAE1atTg+PHjBW43MDDQCKyQHfxy+kyePXuWkydP0qxZs0LLfq1rv3M//fSTQ41oTv9xd3f3Ym0zR58+fQAICAhwCL9LliyhZs2afPrppw5NknP6aLZo0cKokd62bRtjxowBoHHjxlSvXp0TJ07Qvn17vvzyS6pXr07Pnj1Zv349qampnDt3Dj8/P06dOsW9995rtLRo1qwZv//+e6GhNWefREREsHbtWr799luH0Lp06VKjhnPgwIEsXbrUofVIjokTJxITE4O7uzvLly8v1n4rTEREBPfdd1+hy5UvX97h7+Hjjz/OSy+9ZNRq5tU8+Ebk1Tz49OnTjBkzhgsXLpCenk69evVyrde2bVueffZZ+vXrZxz7/M5/X19fqlat6vCDppQ9mRk2Tp/K5PcTGVyK/29QbRLgxj21nPEs51TCJRQRuTOV2dBaUI3oreLm5kZ6enqu511cXAgICOCjjz5i48aNxk14YTw9PY1mnWazmfXr1+Pv74+TkxMdO3akY8eONG7cmK+//pqhQ4eydOlSLl68aDQvO3/+PMeOHcPf35/9+/djs9kwm808++yzPPvss/kOMFRUOX1a58+fz/jx41m1ahV169bl9OnTJCUl5VvbmtOnNUfOwCl+fn5AdtD517/+BWAEI4ARI0YYTQwLkhNaDx48SOPGjalRowYfffQR5cuXL7RmFMDD4+aeOz4+PgwbNoxhw4bRo0cPDh06hMViwWazGctce964uroafaKv99133xEfH8/KlStxdnamffv2eZ5zOex2O8uXLzdqm4rDbrcza9YsunTp4vB8ZGSkUXMIYDabjccmkwmr9b8tHK6vRTCZTAVu99p9HxkZSVRUFMuXL8fd3Z377rsvz89qsViw2/87N2F6errD/rs+kP7www8O5S9IQccJMLZjNpsd+lI2adKEvXv3cu7cOWrWrJlreScnJ4f9lJfWrVvz4osvUr16dcLCwjh79ixffvmlQ5/j64/DtWUoSM+ePQkODqZNmzYOP2BkZmaycuVK1q9fz9tvv43NZuPKlSukpKTQqFEjh4HQZs+ezYULFxg0aFCu7Tds2JDdu3fTqFGjXK/5+/uze/duo2XD9TIzM1m1apXDAGoFsVgsdOrUiU6dOtGwYUOWLVtmhNZbacqUKTz33HN069aNyMhI42/Wtd544w127NhhDEq1evXqfM9/yD6/buS7KiXLZrNz8VwWv5/I4NzpTGw2KF/RTJMAN2rUcsZDQVVE5JZTp4piqFSpElarlbS0tFyvPfHEE0yePNmoASvM9u3bSUxMBLKbHR8+fJiaNWsSGxtr1EpB9oAnNWvW5OjRoyQnJxMTE0NUVBRRUVGMHTuWiIgI6tatS0BAALNnzzZulNPS0hxu9PPzzDPPsHPnzgKXefTRR7HZbGzatAl3d3ceeughpk2bZvSFi4+PL7AmxsfHhyNHjhh9RCMjI2nQoAGAQ63DypUrjZvgs2fP8uCDD+a5vTZt2rBu3ToqVaqEk5MTlStX5sqVK8TExNCmTRsgexTjZcuWYbVaiY+PJyoqilatWhX4OYOCgox1zp8/b/RBhex+hjlNUK+1ceNGMjMzgez+rZcuXcLHx4datWqxb98+bDYbp0+fNoJ7YZKSkvDy8sLZ2ZktW7bw+++/A9CpUydWrFhhjLqc0zw4ODiYBQsWGOtfO0JsYYKDg1m4cKERhGJjY4s9evGKFSuw2+0cPXqUM2fOULdu3SJvNykpiUqVKuHu7s6hQ4eMfuE5NZc563t7e3Pu3DkSExNJS0srcITpzp07O4wUm7M/oqOjeeGFF3ItX7NmTQ4fPkxGRgaJiYnGYGOFCQgIYNasWYwaNcoYITs/7du3NwYiOnz4MBcuXMDPzw83Nze8vb1ZtWoVrVu3pn379nz44Yf5hr1rzZw5s8Afxzw9PZkyZUquwawiIyNp2bIl0dHRREVFsX37dsLCwli9ejXBwcEkJSUZo44D+Z4PTz31FHPnzjWabuc0oYXsvs6vvPIKFy9eBLKD2ldffWWsu2nTJpo0aeLQNzWnafv1jhw54tA8fN++fQ419cWxYsUK5syZU+Tlk5KSuOeee7Db7fmOtn7y5EkCAwOZMGECFStW5Ny5cwWe/8eOHcsz6EvplHTZyv7fUlm3/Arbfkrm4vks6tR3oUtYOYLDy9OgiZsCq4jIbVJma1pLSnBwMNu2bTNG3MzRqFGjfG9Gru3TCjB//nxOnDjBpEmTsNvt2Gw2QkJC6Nu3L3v27GHq1KlcuXIFi8WCn58fc+bM4fPPP881PUSfPn0YM2YMzz//PG+++SavvPIKnTp1onLlyri5uTF16lRj2ev7tA4bNoy//OUvHDhwoNCBTUwmE88++yzvv/8+3bp1Y8KECcyZM4fu3bvj6uqKh4dHgbUmPj4+PP/889x///04Ozvj6+vLO++8A2TffO/fvx+TyUTNmjWNPoMXLlzIdyTYJk2akJCQ4NC8sHHjxiQnJxs1vL179yYmJoawsDBMJhNTpkyhWrVqxMbG5lvO3r17s2XLFrp164avr69DM8wDBw447L8cmzdvZtq0acagVFOnTqVatWp4e3tTu3ZtunXrhr+/f5H7Ct5///2MHDmSkJAQAgICjHDfqFEjnnnmGQYPHozZbKZ58+bMnTuXV199lYkTJxIaGkpWVhbt27d36HdZkIcffpgzZ87Qs2dPIHuQm2sDcFH4+PjQu3dvkpOTmTNnDi4uLkXebkhICF9++SXdunWjfv36tG7d2nht2LBhhIaGEhAQwD//+U/GjRtHnz598PHxKbAFwaxZs/j73//O//3f/5GVlUXHjh2ZNWsWp0+fzrOGq3bt2oSHh9O9e3fq1KlT5OME0KFDByZNmsQjjzziEMqu9+ijjzJx4kRCQkJwdnbm3XffNWpQ27dvz/bt23F1daV9+/acPXuWdu3aFfreBw4coF+/fgUuk1cN6dKlS/P8O7JkyRIGDRrE/PnzmTFjhjG6uZubG5MmTcq1nebNmzN9+nSefPJJo3Y6p4lxz549iY+PN350MplMDoF02bJluZoGnzt3Ls/WB8nJybz00ktcvXoVs9lMvXr1HILntX1avb29HQY9ut6JEyeK1Bc/xwsvvMCoUaOoVKkSHTp0yPPHiRkzZhAXF4fdbqdr1640btwYf3//fM//rVu3GoOQSelktdo593smJ2LTSfjDiskE1WpYqOXnQvV7nDE7qY+qiEhJMNmLUh1XQnJGx82RkpJy05t2FteePXv4+OOPmTdvXomW42ZISkpi/PjxxhyKkF3LVdQmiLfSggUL8PX1NW78Strw4cMLvCEuKSV5vMaNG0ffvn2NQbpKs+nTpzNixIhc01HdbjfjeNntdv7nf/7HoUa0rPvkk0+oV6/eLQ10Tz31FDNnznToulCYm/n9stvtDBo0iIULF+YaG6E0XNvuFF5eXnmO9FyYlGQbJ4+mc+pYBhnpdjzLmalT34Wafi64uqlR2q1yo8dLSoaOV9lSFo5XjRo1irysQusNWLx4MUOGDMm3X2JZVlpCqxSNQmvZou9X2XIzj9fFixfZuXNnnj/ElZZr252guDdpl+KziD2YzrnT2d08qtew4NfAFe/qFo38exuUhZtq+S8dr7KlLBwvhVa5YbqpLlt0vMoWHa+y5XYdL13bbp6i3KTZ7XYunM0i9mAaCRetODubqNPAhTr1XfHwVK3q7VQWbqrlv3S8ypaycLyKE1rVp1VERETueDabndOnMjl6II2kKzbcPEw0a+VG7XquWJxVqyoiUpoptIqIiMgdy26zczouk8P70khOslG+opnW7T2oUdsZs1lhVUSkLFBoFRERkTuO3W7n7O+ZHNqbxtUr2WG1TScPfHyd1V9VRKSMUWgVERGRO8qFs5kc2J3KlUQb5cqbCezgwT21FFZFRMoqjThQTKmpqTzwwANYrVbi4uLw9fV1mBczISGBOnXqMGXKFAAWLlyY78T0OXbt2sVLL71kPN6wYQO9e/emW7du9OzZk3/84x8Oy4eFhTFmzBiH55577jnq16/P1atXjeemTZuGr68vCQkJBb7/4MGD6dKlC6GhoYSHh7N3717jteTkZCZMmEDHjh3p1asXgwcPZseOHQDUqlWLsLAwevToweOPP05qaqqxntVqpWfPnjzyyCMOZQwKCiIsLIywsDCH98nLX/7yF1atWmU8d5XxbgAAIABJREFU7tKlC3PnzjUejx49mh9//LHAbVwrLi6OHj165LsPdu3aVeD6MTEx9OvXj7CwMIKDg3nrrbeK/N45li9fTnBwMIMHDy72uoVZsmSJsW/9/PwICQkhLCyMWbNm3fT3ulkuXbrEwoULS7oY+Ro3bpzDOViajBs3Dn9/f1JSUoznpkyZgq+vL5cvXzaeW7FiBb6+vhw/ftxh/djYWB5++GHjuz1kyBC2bdsGwKJFi5g2bZqx7JIlS+jRowchISGEh4cb02TZ7Xbef/99unTpQlhYGH369OG7774DYMCAAcb52Lp1a0aPHl3g57FarUyePNl4n759+/L7778DEBgYaJzPYWFhTJ8+nYkTJxIWFmbM85vz2sqVK/N9j0WLFtGiRQtj2eeff77AMr322mt88sknBS6Tl7179zJ+/Phiryd/3qX4dH7dfJWoyGSyMqF1ew+69SpPjdouCqwiImWYalqLacmSJfTu3duY7qZ27dqsX7+eiRMnAtmh5Nq5IK8Nbflp2bIlLVu2BODgwYNMnTqVhQsX0qBBA6xWK1988YWx7JEjR7DZbGzbti3XiJN169Zl9erVPPDAA9hsNrZu3YqPj0+RPtd7771Hy5Yt+frrr5k5cyaLFy8G4MUXX6R27dr8/PPPmM1mTp06xeHDhwFwc3Nj7dq1AIwdO5aFCxfyxBNPAPDpp5/i7+9PUlKSw/tMnTqVfv36FalMbdu2JTo6ml69epGQkICHhwcxMTHG6zExMbz66qtF2tbNGAH0ueee48MPP6RZs2ZYrVaOHj1a5HXtdjt2u53Fixfzxhtv0K5duz9dnusNHTqUoUOHAtC+fXu+/vrrYs1JeatkZWVhseT9pyYxMZH//d//LdL3pKjbvJvUqVOHtWvXMnDgQKxWK1FRUVSrVs1hmYiICNq1a8fSpUuNkJaamsrIkSP5xz/+QWhoKAD79+9n3759uc7NtWvX8vnnn7N48WKqVatGWlqaEUw///xztm7dysqVKylXrhxXrlxh9erVACxbtszYxqOPPkqfPn0K/Czff/89ly5dYt26dZjNZk6fPk25cuWM17/77jsqVqyYa73jx4/z+OOPG3+LCjNo0CBefvnlIi17o5o3b87Jkyc5e/Ys99xzzy19L8mWnmbj0N40Th1LxMkCTVu54dfAFScnBVURkTuBalqL6bvvviM8PNx47O7ujr+/v1FLt3z5cvr372+8/tZbb/Hhhx8C2bV5r776Kn379qVz585ERUUBsHXrVuOm/f333+eZZ56hQYMGADg5OTFy5Ehje0uXLuWBBx6ga9euxs1hjgEDBhg3ilu3bqVNmzbFvrFv06YN586dA+DEiRPs3LmTCRMmYDZnnyq1a9c2bnKv1a5dO06cOAFkT1W0fv16HnrooWK99/UCAwOJjo4GIDo6mrCwMBISErDb7Zw6dQo3NzfjJvr5558nJCSEnj17smXLFiD7B4ZRo0YxZMgQI8zlSE1NZcyYMQQHB/OXv/yFtLS0QssTHx9P9erVgezjkvPjxLXHGKBHjx7ExcURFxdHly5deOaZZ+jRowdz585l27ZtjB8/nldeeYW4uDgGDRpEeHg44eHhbN++3djGv/71L0JCQggNDTVqSk+cOMGIESPo1asXgwYNIjY2tsj7Mjk5meeee46+ffvSs2dP1qxZA2TXPP31r39l6NChtGvXjn//+9988MEH9OzZkwEDBhg1dvfddx/Tpk0jLCyMkJAQ43wvaLuPPfYYgwcPZvjw4SQlJTFkyBDCw8MJDQ01AsasWbM4duyYUSMcGRnJY489ZpR74sSJfPvtt0D2+TBr1ix69uzJypUrOXbsGMOHD6dXr17cf//9hf6IcH3t4YgRI9i2bRtZWVk0adKEWbNmERoaSv/+/fMcIv61115j/Pjx2Gw2AgMDeeutt+jZsyehoaHGeyckJDBq1ChCQ0MZMGAABw8eBKBbt25cvXoVm81GkyZN+P777wF4+umn2bJlC4sWLWL06NEMHz6cTp068dprrxXpuF77nf/5558JCgoyvqsASUlJ7NixgzfeeMMhRH7zzTcEBQU5fJebNm3KkCFDcr3HvHnzmD59uhGG3dzcGD58uPHa66+/boTLChUq5NrG5cuXiYqKcvi7mZcLFy5QrVo1o/y+vr55htRbYeHChfTp04fQ0NBcrUZyfPzxx3Tr1o3Q0FDGjRsH5H/+A4SGhjrsc7k1bDY7Rw+lseHHK5w6lkHj5hXp0bcC9Ru5KbCKiNxBymxVRWRkJBcvXryp2/T29qZr1675vp6RkcGpU6eoVauWw/MDBw4kIiICLy8vzGYz1atX5/z583luIysrix9++IH169fz9ttvs2TJEofXDx06ZNRW5mXZsmUsXryY2NhY5s+fz6BBg4zX6tWrx5o1a0hMTCQiIoL777+fjRs3FuWjGzZs2GDcXB4+fJhmzZoZtcr5ycrKYuPGjXTr1g2A6dOnM3XqVIemyjlmz57N3Llz6dSpE5MnT8bV1TXf7QYEBHDo0CEyMjKIiYkhKCiIkydPcuTIEfbu3UtgYCCQXdtjMplYv349sbGxPPTQQ/z0008A7Nmzh3Xr1lG5cmXi4uKMbS9cuBB3d3c2b97M/v376dWrV6H7ZvTo0XTt2pUOHTrQrVs3hgwZgpubW4HrHD9+nLlz5xpl3bp1Ky+99BItW7YkNTWVr776Cjc3N44dO8bTTz/NypUr2bBhA6tXr2bFihW4u7tz6dIlACZMmMDrr79OvXr12LFjB5MmTTLCT2Heeecdunfvzty5c0lMTKRfv37GuX7o0CFWr15NcnIynTt3Zvr06axZs4apU6fy3Xff8eijjwLZ5//atWv5+eefefHFF1m7dm2B2927dy9r1qyhUqVKZGZmMn/+fMqXL88ff/zBwIEDCQsLY/LkyZw4ccIIsZGRkQV+jqpVqxrBYPDgwbz55pv4+fmxfft2pk6dyldffVWk/XG9K1euEBQUxOTJk5kxYwaLFy9m7NixxuvTp08nMzOTN99802hi6OXlxZo1a/jss8/4+OOPmT17NnPmzKF169Z8/vnnbN68meeff56VK1fSpk0boqOj8fHxoW7dukRFRTFo0CB27tzJm2++ycmTJ9m/fz+rVq3CYrHQpUsXHn300UJbSjRs2JDVq1dz5coVli5dyvDhwx2ax65cuZKQkBAaNGiAh4cH+/bto1mzZhw+fJgWLVoUad8cPnyYgICAXM9funSJzMxMatasWeD6K1euJDg4uNB5SAcOHMigQYP45Zdf6Ny5M/fffz/Nmzc3Xr///vuNQDts2DD+8pe/FKn81/v+++/55ZdfAHj88ccZMmQI/fr1M344nDVrFv/3f//n8GMhwAcffEBUVBQuLi7Gjzn5nf9ubm60bNmSTz/9tMC/5/LnXPoji90xKVxJtFHtHgtNW7lTt553qZ+XUEREiq/MhtaSkJCQQIUKFXI9361bN+bMmYO3tzcDBgwocBs5TeQCAgKM/lpFtWvXLqpUqYKvry8+Pj688MILXLp0icqVKztsPyIigp07dzr0tS3M2LFjyczMJCUlJVcNbn7S0tIICwsDspujPvTQQ6xduxYvLy8CAgLYunWrw/KTJk2iWrVqZGRkMGHCBN5///0C+5S5urrSsGFD9uzZQ0xMDGPGjOHkyZNER0ezd+9e2rZtC8D27duNYNWgQQNq1qzJsWPHAOjatavD/skRFRVl1Og1bdqUJk2aFPp5n3/+eQYNGsTmzZtZunQpERERfPPNNwWuU7NmTSOwXi8zM5MpU6awf/9+zGazUeaffvqJoUOH4u7uDkDlypVJTk4mJibG4QY4IyOj0DLn2Lx5Mxs3buS9994DID09ndOnTwPQqVMnPDw88PDwwNPT0zimjRs3NsoE2bWtAJ07dyY+Pp7k5OQCtxscHEylSpWA7ObRs2bNYvv27ZhMJs6ePVtoX+u85Hy/Ll++zM6dOx36SVqt1mJvL4ebm5vR3zkgIMBoBQHw5ptv0rZt21y1n9d+lzds2ABkn4s5fXSDg4N5/vnnSUlJoV27dvz6669Ur16dUaNG8b//+7/ExcXh5eVlHOcuXbpQvnx5IPs8Pn36dJGa94eHhxMREcGePXto06aNw2sRERE89dRTQPa+i4iIoFmzZrm2MWrUKE6ePEnDhg356KOPCt9hxbB06VLj+1kQX19fIiMj2bJlC1u2bOHBBx/k008/pWPHjkD+zYOLK6/mwQcOHODNN9/kypUrXL16Nc/WJA0bNmTcuHGEh4cbP3Lld/7Xr18fLy+vfH+8lD8nM8PGgd1pnDyagZu7SSMCi4jcBcpsaC2oRvRWcXNzIz09PdfzLi4uBAQE8NFHH7Fx40aHJmJ5LQvZzUvz6meZE9LyurFcunQpsbGxtG/fHoCrV6/y448/MmLECGOZAQMGGIOqXNtMsDDvvfceAQEBvPrqq7z00kt8+umnNGzYkP3792O1WvOsbb22T2uO6Oho1qxZw4YNG0hPTycpKYlx48Yxb948o2mtq6srQ4cOdWhSm5+2bdsSFRVFcnIylSpVIjAwkAULFrB3717+53/+p9D1C6vdKS4/Pz/8/PwYMWIEAQEBJCQk4OTkhM1mM5a59hwp6P0/+eQTvL29Wbt2LTabjXr16uW7rM1mo0KFCkXut3c9u93OZ599hp+fn8PzOTVHOUwmk/HYbDY7nKPX3xCaTKYCt5sTxiC7OWpSUpJRkxgYGJhnk2yLxZLvvoT/7k+73U7lypWLtT+cnJyw2+15bvvafeDk5OQQgFu3bs2uXbtITEw0Qvi161y/n/ISFBRk9Al96aWXWLZsGatWrTK+y4WVoSADBw6kT58+DB8+3OEYxcfH8+uvv3LkyBFMJhNZWVk4OzszadIkGjZsyG+//WYs+/nnnxMTE8OcOXNybd/f35/du3cTFBTk8HzlypVxdnbm9OnT+Pr65lm2ixcvsnfvXrp3716kz+Lm5kZISAghISFUqVKF1atXG6H1Vnr22Wf54osvaNy4MYsWLTIGm7vWokWL+OWXX1izZg3z5s1j3bp1+Z7/kH1+FdYSQ4rHbrdzJi6TfTtTSU+3U7ehK42bu2FxVlgVEbnTqU9rMVSqVAmr1ZrnzfYTTzzB5MmT86zVK44xY8Ywb948o4+czWZj4cKF2Gw2li9fzvr164mKiiIqKor58+ezdOlSh/Vr1qzJxIkTczVtA3jwwQc5e/Zsvu9tMpmYOHEiO3bsIDY2Fj8/PwICAnjzzTeNm/24uDjWrVuX7zYmTZpETEwMUVFRvP/++3Tq1Il58+YBGLUOdrudVatW0bhxYwB27tzJM888k+f22rRpwxdffEHTpk0BaNKkCTt27OD06dPG+u3atTOayR49etSo6ShI+/btjX138OBBDhw4YLz2zDPPsHPnzlzr5NykQnazX7PZTMWKFalVqxZ79uwBspsjnzp1qsD3znHlyhWjD9+3335rhJSuXbuyZMkSo1/dpUuXKF++PLVq1WL58uVA9j7ct29fkd4HslsDzJ8/33hc2MjNebm2v7SXlxceHh5F3u6VK1eoWrUqFouFyMhIo990uXLlSE5ONparWbMmhw8fJiMjg8TERKN/8vUqVapE9erVjaawNpvN2B8rVqzIM3zVqlWLvXv3YrfbiYuLY/fu3UX63CEhITzxxBOMHDnSoax5adeunTFIUWRkJD4+Pnh4eFC7dm3Onz9vjDjetm1bPvroI4fQmp+xY8ca51de6tSpw4QJE3j44Ycdnl++fDlDhw5l27ZtREVFERMTQ/Xq1YmOjmbw4MH88ssvDt/lvPpxQvYoxa+88orRHSM9Pd1ohv30008zadIkoytAUlKSQ+uDFStWEB4e7hDIo6OjeeGFF3K9z+7du42/ETabjYMHDxba9Dg/n376abFGpU5NTaVatWpkZmbm2eTearVy9uxZOnfuzNSpU0lISCA1NbXA8//o0aM0atTohsovuaWn2YjeksKOX1JwczfTJbQczVu7K7CKiNwlymxNa0kJDg5m27ZtuWp6GzVqdFNuUJo2bcqMGTN4+umnSU1NxWQyERoaSlRUFD4+Pg7NBYOCgjhy5EiuJmjX37xC9k3giRMnHGqK8uLu7s7jjz/OBx98wFtvvcWbb77Jyy+/TKdOnXBzc6NKlSpMnTr1hj7b2LFjjYGUmjVrxuuvvw7A6dOn862RaNOmDSdPnjT6F1osFry8vKhRo4ZRkzxy5EgmTZpESEgITk5OvPPOOwX2lYXsUZ1feOEFgoOD8ff3d+izd+DAAaNW+FrffvstM2bMwN3dHYvFwnvvvYeTkxN9+vThm2++oXv37rRu3brAGtNrjRw5kscff9xYN6cWsXv37uzbt4/evXvj7OxMjx49mDRpEu+99x6TJk3i3XffJSsri4EDBxqjThfmhRdeYPr06YSEhGCz2fDz82PBggVFWjeHxWIhLCwMm83G22+/XaztDh48mFGjRhESEkKrVq2oW7cukN2PvEWLFkbt2uTJkwkPD6d79+7UqVOnwH6X77//PpMmTeKtt94iMzOT+++/n2bNmnHixAmjme21OnTogI+PD8HBwTRq1CjP1gz5GThwIFevXuXRRx8tMAz97W9/44UXXiA0NBQPDw9jP0H2KOE54a19+/ZGs+PCHDhwINeIwNfL60eqiIiIXM3vc7oPtG3bls8//5yXX36Zl156CS8vL8qXL28MMHStnj17Eh8fz4MPPghk/7iVMxDTY489RkpKCr169cLFxQWLxWI0R84pw/UBNb/v+4ULF/jb3/5GZmYmdrudwMBAh1Glr+3T2rx5c955551898eRI0fo3Llzvq9f78UXX6RPnz5UrVqVVq1a5arhz8rK4umnnyY5ORmbzcaTTz5JuXLlCjz/t27dWujgU1I0Z+Iy2BOTSlamnaYt3ajX0BWTWWFVRORuYrJf216ulDlz5ozD4+uneCkJe/bs4eOPPzZqD8uKgwcPsnjxYmbMmFHgchaL5aZMD1Mcr7zyCg888IBRm1qSkpKSGD9+vDEPZWl3u47Xfffdx8yZMx0GximtnnrqKWbOnFkqpvu5XnGPV2JiIpMmTeKDDz64haW6vaZPn86IESMcpga72R5++GEWLFjwp6dFutHvV2pqKkOGDCEiIqLQgeygdFzbSqOMDBt7d6Ry+mQmFSs70bq9B+UrFrw/vby8NBBTGaLjVbboeJUtZeF41ahRo8jLKrTegMWLFzNkyJAi3YyUNSURWuXGKbSWLfp+lS03erxiY2P5448/cvUDzk9pubaVJhfPZfLbthTS0+w0bOZGgyaumItQu1oWbtLkv3S8yhYdr7KlLByv4oRWNQ++AcOGDSvpIojcVtf3nRaR/DVo0MCYa1uKx2azc3BPGkcPplOugpm2nT2pVEW3KiIidztdCURERKTEJV+1suOXFBITrNSp70LTVu5YLOq7KiIiZSy0luKWzCIiIjdE1zY4fSqD3dEpAAR29KBGLZdC1hARkbtJmQqtOfMh/tnBNUREREqDrKysYs2pfafJyrKzb0cqp45nULmqE/d28MDD884bL0JERP6cMpX+3NzcSEtLIz09HZNJTYZuBVdX11zTPUjppeNVtuh4lS23+njZ7XbMZnO+U37d6a4kWonZmszVJBsNmrjSqLlbkQZbEhGRu0+ZCq0mkwl3d/eSLsYdrSyMNCb/peNVtuh4lS06XrfOqWPp7IlJxdnFRFA3T7yrO5d0kUREpBQrU6FVREREyi6r1c7eHamcOpaBV3UL9wZ54Op29zaPFhGRolFoFRERkVsuJdlGzNZkEhOsNGjiSuPmbpjUHFhERIpAoVVERERuqT/OZxLzSwo2m502nTy4p6ZGBxYRkaJTaBUREZFb5uTR7P6rnuXNtO1cjnLlNTqwiIgUj0KriIiI3HR2m539u9I4djgdbx8LgR08cXZRc2ARESk+hVYRERG5qbIy7ez4NZnzZ7Ko6+9C01bums5GRERumEKriIiI3DRpqTaiIq+SdNlGi3vd8fN3LekiiYhIGafQKiIiIjfF1SQrv25OJiPdRrsunlS7R/OviojIn6fQKiIiIn9aYnwWUT8lA9CxWzkqVdUthoiI3By6ooiIiMifcuFcJtFbknFxNRMU7KkRgkVE5KZSaBUREZEbdiYugx2/plC+vJn2weVwczeXdJFEROQOo9AqIiIiN+T0yQx2RqVQqYoT7bt64uyiwCoiIjefQquIiIgUW9zxdH7blkpVbyfadSmHxVlT2oiIyK2h0CoiIiLFcvJoOrujU/GqbqFtZ08sFgVWERG5dRRaRUREpMhOHElnz45Uqt1joU0nT5ycFFhFROTWUmgVERGRIjl1LDuwVq9hoU1HT8wKrCIichtoxAQREREp1O8nMti1PRVvHwuBCqwiInIbKbSKiIhIgc7EZbBzWwpVq1loqybBIiJymym0ioiISL7On8lkxy8pVK7qRLvOnjhp0CUREbnNFFpFREQkT/EXsojekkyFSk6017Q2IiJSQhRaRUREJJcriVa2/XwVD08zQcGeOLsosIqISMlQaBUREREHKclWft18FYvFRPvgcri46nZBRERKjq5CIiIiYkhPs/Hr5mRsVmjftRwenrpVEBGRkqUrkYiIiACQlWVn20/JpKbYaNfFkwqVnEq6SCIiIgqtIiIiAnabnR2/JpN4yUpgB0+qeFtKukgiIiKAQquIiIgAB3ancf50Fs1buePj61zSxRERETEotIqIiNzlTh5N5+ihdPwauFC3oWtJF0dERMSBQquIiMhd7OK5TPbEpOLtY6FZa/eSLo6IiEguCq0iIiJ3qaQrVqK3JlOugpnAjp6YzZqLVURESh+FVhERkbtQepqNbZHJmM0m2nUph7OzAquIiJROCq0iIiJ3GZvNTvTWZNLSsqe20VysIiJSmukqJSIicpfZtzOVhItWWrbxoHJVTW0jIiKlm0KriIjIXeTUsXROxGZQr6ErNf1cSro4IiIihVJoFRERuUtcis9iT0wqXtUtNGnpVtLFERERKRKFVhERkbtAWqqN6C3JuLqbCezgoZGCRUSkzFBoFRERucPZrNkDL2Vk2GnbyRMXV13+RUSk7NBVS0RE5A63d2cql/6w0qqdBxUrO5V0cURERIpFoVVEROQOdvJoOiePZlC/sSu+tTXwkoiIlD23bZz75ORkPvzwQ+Li4jCZTIwZM4aGDRverrcXERG561yKz2LvjlS8fSw0aaGBl0REpGy6baF1wYIFtGrVivHjx5OVlUV6evrtemsREZG7Tka6jZitybi6mbg3yAOTBl4SEZEy6rY0D05JSeHAgQP06NEDAIvFgqen5+14axERkbuO3W5nx68ppKfZaaOBl0REpIwz2e12+61+kxMnTvDRRx9Rs2ZNTp48Sb169Rg1ahRubo5NldatW8e6desAeP3118nIyLjVRZPrWCwWsrKySroYUkQ6XmWLjlfZUpaP12/bE9i5LYEOwd40bl6xpItz25TlY3Y30vEqW3S8ypaycLxcXIo+zsJtCa1Hjx5lypQpvPLKK/j7+7NgwQLc3d0ZNmxYgeudOXPmVhdNruPl5cUff/xR0sWQItLxKlt0vMqWsnq8LpzLJGpzMr51nGnd3gOT6e5pFlxWj9ndSserbNHxKlvKwvGqUaNGkZe9Le2FqlatStWqVfH39wcgKCiI48eP3463FhERuWukptjY8UsK5SuYCWhzdwVWERG5c92W0FqpUiWqVq1q1Jzu2bOHmjVr3o63FhERuSvYrHZitiZjs2X3Y7VYFFhFROTOcNtGD37sscf45z//SVZWFtWqVeOpp566XW8tIiJyx9u/K5VL8VYCO3pQroJTSRdHRETkprltodXPz4/XX3/9dr2diIjIXePMqQyOH8mgrr8LNWoVfWALERGRskBj4IuIiJRhyVet7NqeQuWqTjRt6V7SxREREbnpFFpFRETKKKvVTszWFEwmE/d28MTspH6sIiJy51FoFRERKaMO7E7j8iUrLdu54+GpS7qIiNyZdIUTEREpg86dzuT44XT8GrhwT031YxURkTuXQquIiEgZk5pi47dtKVSo5ETTVurHKiIidzaFVhERkTLEZrMT80v2fKyBHT1wUj9WERG5wym0ioiIlCGH96Vx6Q8rAW08KFde87GKiMidT6FVRESkjLh4LpMj+9OpVdeFmnXUj1VERO4OCq0iIiJlQHqajZ1RKZSrYKb5verHKiIidw+FVhERkVLObrfz27YUMjPsBHbwxGJRP1YREbl7KLSKiIiUcidjM7hwNoumLd2pUEn9WEVE5O6i0CoiIlKKJV22sm9XKt4+Fvz81Y9VRETuPgqtIiIipZTVamfHr8lYLCZatfPAZFKzYBERufsotIqIiJRSB/ekcSXRRqt2Hri565ItIiJ3J10BRURESqGL5zI5digdvwYuVK/hXNLFERERKTEKrSIiIqVMevp/p7dp0lLT24iIyN1NoVVERKQUsdvt7NqeQkaGnXuDPDS9jYiI3PUUWkVEREqRU8cyOH86iyYt3KhY2VLSxRERESlxCq0iIiKlRMpVK/t+S8WrmoV6jVxLujgiIiKlgkKriIhIKWC32dm5LQWTCVpqehsRERGDQquIiEgpcOxwOgkXrTRv7Y6Hpy7PIiIiOXRVFBERKWFJl60c3JNG9RoWavq5lHRxREREShWFVhERkRJks9nZGZWCxdlEy7ZqFiwiInI9hVYREZESdGR/GpcvWWkR6I6rmy7LIiIi19PVUUREpIQkJmRxZH86vnWcqVFLzYJFRETyotAqIiJSAqxZ2c2CXd1MtLjXvaSLIyIiUmoptIqIiJSAg3vSuHrFRst2Hji76HIsIiKSH10lRUREbrOEi1kcO5xOnfouVPNxLuniiIiIlGoKrSIiIreRNcvOb9tTcPcw0bSctbhXAAAgAElEQVSlmgWLiIgURqFVRETkNjq0L43kJBst23pgcdb0NiIiIoVRaBUREblNEuOzOHoondr1XPBWs2AREZEiUWgVERG5DaxWO79tS8HNTc2CRUREikOhVURE5DaIPZBG0hUbAW08cHZRs2AREZGiUmgVERG5xS5fsnJkfzq+dZypXkPNgkVERIpDoVVEROQWstmymwU7u5ho3lrNgkVERIpLoVVEROQWOnownSuJVloEuuPiqsuuiIhIcenqKSIicoskXbFyeF8a99RypkYtl5IujoiISJmk0CoiInIL2O12dm1LwcliosW9ahYsIiJyoxRaRUREboGTRzO4FG+lWSs3XN10uRUREblRuoqKiIjcZGmpNg7sTqVqNQs1/dQsWERE5M9QaBUREbnJ9u1MxWaFgDbumEyak1VEROTPUGgVERG5ic6fyeRMXCb+Td0oV96ppIsjIiJS5im0ioiI3CRZWXb2xKRQroKZBo1dS7o4IiIidwSFVhERkZvk0N40UlPsBLTxwOykZsEiIiI3g0KriIjITXD5UhbHD6dTu54LVb0tJV0cERGRO4ZCq4iIyJ9kt9nZtT0VF1cTTVq6lXRxRERE7igKrSIiIn/S8dgMLl+y0qy1Oy4uurSKiIjcTLqyioiI/AmpKTYO7knF28dCjVrOJV0cERGRO45Cq4iIyJ+w/7dU7HZoEag5WUVERG4FhVYREZEbdPH8f+ZkbeKGZznNySoiInIrKLSKiIjcAJvVzt6YVDw8zdTXnKwiIiK3jEKriIjIDTh2OJ2rSTaa3+uOk+ZkFRERuWUUWkVERIopNcXG4X1p+Pg6U72GBl8SERG5lRRaRUREimnfzlTsQLPWmpNVRETkVlNoFRERKYYLZzM5+3sm/k3d8PDU4EsiIiK3mkKriIhIEVmtdvbuSMWznJn6jTT4koiIyO2g0CoiIlJExw6lk3xVgy+JiIjcTgqtIiIiRZCWauPIgezBl6rdo8GXREREbheFVhERkSI4sDsVuw2attLgSyIiIreTQquIiEghLsVn8fuJTOo1csWznAZfEhERuZ0UWkVERApgt2cPvuTqZsK/iWpZRUREbjeFVhERkQL8fjKTxAQrTQLcsThr8CUREZHbTaFVREQkH1mZdg7sSqVSFSdq+mnwJRERkZKg0CoiIpKPIwfSSE+z06y1OyaTallFRERKgkKriIhIHpKuZHLsUDq+dZyp4mUp6eKIiIjctRRaRURE8rB96x+YTNAkwL2kiyIiInJXU2gVERG5TvzFLE4eTaZBEzfcPXSpFBERKUm6EouIiFzDbrez/7dUPDydqNfItaSLIyIictdTaBUREbnGmbjsKW7ubV8Vi0WDL4mIiJQ0hVYREZH/sFrtHNidRoVKZuo3Kl/SxREREREUWkVERAwnjqSTmmyjaUt3zGbVsoqIiJQGCq0iIiJARrqNI/vT8fax4O3jXNLFERERkf9QaBUREQGO7E8nM8tO05aa4kZERKQ0UWgVEZG7XvJVK8dj06ld1+X/2bvz+Kju+97/r3NmXzTaQYDEIrMZDJjFGNsYL/ESL1nsNHXiJk1yb3Kbe5s2aZukadp7u6dO0/7uzd5H8kvr3KZpE8dZimMnNo6NwTbYsQ3G7IsxixCgXaPZz/neP2YkRiBAAkmj5f18POZxdp3PaB4PRm++3/P9EqvwlLocERERKaLQKiIik97u11PYFiy4KljqUkREROQsCq0iIjKptbXkOHE0yxULgwRD+loUEREZa/TtLCIik5Yxhl3bkgSCFlcsDJS6HBERERmAQquIiExaJ45laW91WHBVEK9XU9yIiIiMRQqtIiIyKbmuYc+OFNGYTcMcf6nLERERkfNQaBURkUnp2OEMPd0uC5cEsW21soqIiIxVCq0iIjLpODnD3jdSVFR5qJvhK3U5IiIicgEKrSIiMukcPpAmlTRcuSyIZamVVUREZCxTaBURkUklmzHs352mts5LzRS1soqIiIx1oxpaXdfls5/9LA899NBo3lZERKTPwb0pshnDwiXBUpciIiIigzCqofXxxx9nxowZo3lLERGRPumUy6G9aaY3+Kio8pa6HBERERmEUQutra2tvPrqq7ztbW8brVuKiIj0s29nCteFBWplFRERGTdGLbQ+/PDDfOADH9CAFyIiUhI9cYe3DmWY2egnWuYpdTkiIiIySKPSN+qVV16hvLycxsZGdu7ced7zNmzYwIYNGwB46KGHqKmpGY3ypIjX69XvfRzR5zW+6PMqrV2vncS2LNbcOJ1w5OJff/q8xh99ZuOLPq/xRZ/X+DLRPi/LGGNG+ibf//73ee655/B4PGQyGZLJJKtXr+b3f//3L3hdU1PTSJcmZ6mpqaGlpaXUZcgg6fMaX/R5lU5Xh8PGX3Yzd2GAK5eFBnWNPq/xR5/Z+KLPa3zR5zW+jIfPa/r06YM+d9Atrd3d3bz22mu0t7fzrne9i7a2NowxVFdXX/TaBx98kAcffBCAnTt3sn79+osGVhERkeGyZ0cSn8/iiisDpS5FREREhmhQz7Tu2rWLT33qU2zatIlHH30UgObmZr797W+PaHEiIiKXq/V0jpNNOa64MoDfr+nJRURExptBtbQ+/PDDfOpTn2LJkiV85CMfAWDu3LkcPHhwyDdcvHgxixcvHvJ1IiIiQ2WMYffrSQJBiznz1MoqIiIyHg3qv5xPnz7NkiVL+u3zer04jjMiRYmIiAyHUydytLc4zF8cxOvV6PUiIiLj0aBCa319Pdu2beu3b8eOHcycOXNEihIREblcxs23soajNjMb/aUuR0RERC7RoLoHf/CDH+SLX/wiy5cvJ5PJ8K1vfYtXXnmFz3zmMyNdn4iIyCU5fiRLd6fLiuvC2LZaWUVEZGwwxoDjQC4L2Wx+2fs6ZzsHuSwmmxlw/4DXZbN02BbuohXYN7yt1G93WAwqtM6fP58vfelLbNq0iWAwSE1NDV/4whcGNXKwiIjIaHMdw543UsQqPExv8JW6HBERGQOM40A2nQ942UxhedZ2IfiZgcLj2cExl+u7xpwdHgcMo0VBc7hmHbVt8PryL5+vb90JhWB2fHjuMQYMesqbqqoq3vWud41kLSIiIsPirUMZkj0uS9dFsCy1soqIjAX5FsZcUUjMFIXH/iHSnC9UDnCdyWUhU3RerrDMZCBXdJ3rXv6bsG3w+c8ERa+3X1jE6wN/AMJR8Hqxis/1Fc4fIGT2rltn7/f6wFd8jb/ffsv2DFhm9TiYp3UoBhVav/rVr573S/8Tn/jEsBYkIiJyOXJZw76dKaqneKmtG/T/zYqITDrGmHzAy2QKoS+dX2YKobCwbjJpEgEfbltr0bmZfueaTLpof6Z/eCwOn5fbwujz50OdL1BY+ouWfgiFwefD8hbt9/uheLvofMt31n7vuUFyMCFRRtagvs3r6ur6bXd0dLBlyxZuvPHGESlKRETkUh3alyaTNly5JKhWVhEZl4zr5ANgOg3pFGRS+fXsmcBoerez6XOO9W6bfuHyrKDZuz3IENldvGFZ+dZEnz+/9Pv7b4ej+eDYGySLg6G3KEgWtvvO8xcdPzuM+vz5lkv9uz4pDSq0vve97z1n36233sojjzwy7AWJiIhcqnTa5eDeFHUzfFTWqJVVREaGMeZMOMyk8sEy3dtKmd82xcd6A+jZxwYKpulUvoVyqC4WJKMxrAsdL2xbvsCAx6vq6mjr7snvU3iUUXbJ3+izZ89m9+7dw1mLiIjIZTmwO00uBwuXBEtdioiMAcaYQjBMQioJqUKITCUhncT0rqeSheB5JmSavrBZtOxdz6SH3s3V7wd/EALBQigM5NdjFfkw2bs/EDhzXiB/nlV8zYDBc+SDpKeqBstVUJXSGFRofeONN/ptp9Npnn/+eerr60ekKBERkaFKJlwO70/TMMtPWbmeORIZb860Xp4JlaRSfYHSpJNnjqVSZ4JoOpUPmAMF00xq8OHS4ykEx+LAGIRwBCqqCsGxsL8vRJ7ZtvzBfIgMFAXTorBp2fbI/gJFJrBBhdZvfvOb/baDwSCzZs3ik5/85IgUJSIiMlT73kgBMP8qtbKKjCaTzUIqAclEITQmIJnE9O3Lb/eeY1L581qzGZx4V1EATYEZ5Oiulg3BUD4UFi8ra/LhMhCEQCi/LxjsO24Fiq8565hX02OJjFWDCq1f//rXR7oOERGRS9bd5XDkcIY58wKEI2rNELmYvlbNRM/AobJou18ILQ6nvcdyuYvf0LYhGM6P7BoMQSiMHavAqqg+K3yeCZJW7/bZwTQYyg/eo2cqRSaN84ZWd5DzGNnq6iAiIiW2d0cKjwfmXRkodSkio8IYk+8Cm+jJh8dkHBI9mEQPJHsK+wvLRA+mb18CEvH8scGETZ+/L2T2hc6qWqze7d4QWdi2ikLpmZAaBr//nJBZOcHmkRSRkXPe0Pr+979/UD/gBz/4wbAVIyIiMlQdrTlOHMsyf3GQQFD/kSrjh8nl8gEyEYeeOPR0Y3riZ0Ll2YGzN4j2bl+sgcHvh1Ak/wpHIFqGVVt3ZjtcOBYKnwmh/UKnusyKyNhw3tD6ta99bTTrEBERuSS7d6TwByyuWKBWVikNk0n3hc4z4bO7EEa7oacnvy/R/xxSyQv/4ECwf8Asr8SaVn9O6LTCRcG0aGn5FDhFZGI4b2itra0dzTpERESG7HRzlpaTORYvD+H16fk2uTzGmHz32XgndHdBvBsT7yra7sqH0b7gWQifF5pT0+OBcBQiZRCJQkU11oxZZ7YjZRCOYhWtE4nmu9p6NdewiAgMYZ7WX//61+zatYuurq5++z/xiU8Me1EiIiIXY4xh9+spQmGLWVf4S12OjEEmk4Z4V9/LdHf126a7qxBKi16OM/AP83ohWp4PlNEY1M3AipTlWzULAdTqC51lZ0JpIKgBg0RELtOgQusjjzzCU089xfXXX8+WLVu47bbbeP7557nuuutGuj4REZEBnTiWpbPd4erVYTwehYLJoK8ltKsj/+ruwPSud3XQkUrgtJwqHOvMD1Q0EMsqhM/yfACtnYbVuCC/XnhZZbHC8TIoi0EgpPApIlIigwqtzzzzDH/2Z3/GzJkzefbZZ/nwhz/M2rVrefTRR0e6PhERkXO4rmHPjhTRmE39LD23N96ZdBo626CjFdN5JoTS1d4vlNLdmZ+m5WyWBdEYTmU1RMqwGhdCrCIfNqMxrN4wWlYIqZEIlu0Z/TcqIiKXZFChtaenh5kzZ+Yv8HrJ5XLMnTuXXbt2jWhxIiIiAzn6Zoaebpdr1kawbLV+jVUml8uHzY5W6GjDdLZBRxu0t55Z72jNj4R7NtvOh8yyCohVYNXV54No4WUVrRONYXk8VGsKFRGRCWlQobWuro6jR4/S0NBAQ0MDTz75JNFolGg0OtL1iYiI9OPkDPt2pqis9jB1ugaqKRXjutDVDq2nMW2noe30mfX21nwY7e4EY/pfaNtQXgUVVTB1OtaCq6CiGiqqsCqqobwyH0QjZViaC15ERLhIaHVdF9u2eeCBB+ju7gbgwQcf5Ctf+QqpVIqPfvSjo1KkiIhIr8MH0qSShuVr9IzhSDKuA20tcOoEpvVUIZSewrS15NfbWsDJ9b8oFIGqGqiqxZp1RT6cVlZhledDKZVVEC1XGBURkSG5YGj9+Mc/zrp161i3bl1f9+B58+bx1a9+dVSKExERKZbNuOzfnaa2zkvNFLWyXi6Ty0FLcz6YnjoBp5v7lrSc7B9KLTsfPKtrsebMh5U35NeraqF6ClTW5OcLFRERGWYX/Mb/2Mc+xqZNm/iTP/kT6uvruemmm1i7di2xWGy06hMREelzcG+abMZw5dJgqUsZV4wxcOoEHDuMaToCTUfyy5NN/YNpMARTpkH9LKwVa/Kj6tbWQc3U/PyimjdURERK4ILfPtdccw3XXHMNPT09vPDCCzz33HN873vfY9myZdx0002sWrUKr77ARERkFKSSLof2ppkx00d5pb57LsQkE3BgF+bQXsyb++DN/ZCI5w9aVj6ETp+JtWw1TGvAmjItH1ajMXW5FhGRMWdQ3/qRSITbb7+d22+/nZMnT7Jp0ya++93v8u1vf5vvfOc7I12jiIgI+3elcF1YcJVaWc9mshk4sBuz53XMntfh8H5w3XyX3hkzsVZeD3PmY81shLoGrECg1CWLiIgM2pD+qzqXy3Hw4EH2799PZ2cnCxYsGKm6RERE+vTEHd46mGFmo59ImebXBDCd7ZjtWzGvbYW9O/Lzl9p2Ppy+/TewFi7JrwdDpS5VRETksgwqtO7Zs4eNGzeyZcsWYrEYN954Ix/96Eepra0d6fpERETYuyOFZcP8xZO7ldWcbMK89iJm21Y4tDc/nUxtHda6O7GuvBrmL8YKhUtdpoiIyLC6YGj94Q9/yKZNm4jH46xZs4Y//uM/ZuHChaNVm4iICJ3tOY4fyTL3ygDB0OSbKsV0d2Je2oTZ8ky+2y/AzCuw3vkg1vI1+WdT9RyqiIhMYBcMrQcOHOB973sf11xzDX6/f7RqEhER6bNnRwqf32LuwsnzHKbJZjDbXsoH1Z2vguNA/Rys934Ea+VarGr1dBIRkcnjgqH185///GjVISIico7WUzlOnchx5dIgPv/Eb2U1p5sxG3+Bef4piHdDRRXWbe/EWnMLVv3sUpcnIiJSEpozQERExiRjDLtfTxIMWcyeN3FbWY3rwI5XcTc+AW+8Alhw9Wrsm+6CK5di2Rp4SkREJjeFVhERGZNONuVob3VYuiqE1zvxntk06TTmhQ2Yp34Gp5uhvBLrngewbrwDq6qm1OWJiIiMGQqtIiIy5hjXsGdHkkjUpmHOxBpTwXR3YZ55DPPMz/NdgBsXYN//23D1GiyvvpZFRETOpm9HEREZc44dydLd6bLyujC2PTFaWU3racwvH8U8vwEyGVi2GvvO+2HulRr9V0RE5AIUWkVEZExxHMPeN1KUV3qY1uArdTmXzbS1YJ74EWbzk2DAWnMT1h33YU2fWerSRERExgWFVhERGVOOHMyQ7HFZuioyrlsgTUcr5olHMc/9EoyLdcNtWHe/F6t6SqlLExERGVcUWkVEZMzIZQ37dqWonuKldur4/IoyPXHM44/kn1l1cljXvy0fVmvrSl2aiIjIuDQ+/yIQEZEJ6dC+NJm04cqlwXHXymqy2fwASz9/BJI9WGtuxrr3fVhTppW6NBERkXFNoVVERMaEdNrl4J4UdTN8VFaPn68n47qYlzdhfvKv0HoKFi/H/o0PY9XPKXVpIiIiE8L4+atAREQmtAO70uQcWLgkWOpSBs0c3IP7H9+Gw/uhfg72H/wl1qLlpS5LRERkQlFoFRGRkkv0uBw+kKZhtp+yck+py7ko09WOefT/Yl54GiqqsD7yyXx3YHvs1y4iIjLeKLSKiEjJ7duZAmD+4rHdympyOcwzP8es/3fIZLDe/h6se96LFQyXujQREZEJS6FVRERKqrvT4ejhDI3zAoQjdqnLOS+z9w3cf/smnDgKV63AfuCjWHX1pS5LRERkwlNoFRGRktqzI4XXA3MXBUpdyoBMvAvzo3/BPP80VE/B/t0/hWWrx93oxiIiIuOVQquIiJRMe2uO5uNZFlwVJBAYW62sxhjcLc9gfvjP0NOd7wp87/uwAmMzXIuIiExUCq0iIlISxhh2v57CH7BonD+2gqA5dYKOr/01ZvvLMGc+9h/+laawERERKRGFVhERKYnTzTlaT+W4akUIr29sdLU1rov51WOYn/xfsh4v1oO/g3XT2zUqsIiISAkptIqIyKjrbWUNRWxmNfpLXQ6Qb111v/sV2LcTlqyi+pP/k3YzNsK0iIjIZKbQKiIio67paJauDofl14axPaUNhsZ1Mc88jvnxd8HjxfrwJ7GuvxVPdS20tJS0NhEREVFoFRGRUea6hr07UpSV28yY6StpLab1FO6/fBn27shPY/PBT2BV1ZS0JhEREelPoVVEREbVkUMZeuIuq2+MYNmla2V1X96E+ddvgHGxPvR7WDfcpmlsRERExiCFVhERGTW5nGHfzhRVNR6mTCvNV5BJJTH/8a38vKuNC7A/+kdYtXUlqUVERORyGWPy07S5Lo7j4LouXV1dpNNpAhNkmjaFVhERGTVv7k+TThlWXR8qSaumeesg7re+BKebse59AOueB7C8+ioUEZE813X7hb/i9eJ9vdsXO+9C+y50/GL3OvvagaxYsYK1a9eO8m9wZOibWkRERkUm43Jwd5qp071U1Y7+14/74jOYf/06RGPYn/4brPlXjXoNIiKTiTFmUKHsYuHvYsuzf8ZQw2PxPmPMiP5OPB4Ptm33LYvXz97n8/nO2Ve8faFrY7EYoVBoRN/LaFJoFRGRUXFgd5ps1rBwyeh+iRrHwfzoYcyGn8GCJdi/81mssvJRrUFEZDj1hsHBvs4OaIMNksVLj8dDKpUaUpB0XXfEfgcXC37Fx7xeL36/f0iBcTD7BgqSF7rWtu0R+32craamhpYJNAK+QquIiIy4ZMLlzf1p6mf5iFV4Ru2+JpnA/ebfwe7tWG97B9ZvfETdgUVk0AYbDotD36UcH+r5I9EaWBy2BgpcgUCgL7x6vd5zzr1QaLxYsBvq0rZtDZw3yeibW0RERty+nSmMgQVXBUftnqarHffLfwnH38L60O9hr7191O4tIsOjN7zlcrl+y97X2fsHOm+g9Qudd/Y9hlNveDs77BW/eruEnu810DXnO+71ei8YRofSAjjRWu5kfFFoFRGRERXvdjj6ZobZc/2Eo6PTympON+P+7/8FnW3Yv/tnWEtWjsp9RSYqYwy5XI5sNtsX7IbyGigU2rZNMpm8YGgcju6lxeGtd1m8HggEzjlefN6lvs4Ol2odFLl0Cq0iIjKi9uxIYXtg3qLRaWU1J47i/uOfQTaL/Yd/g3XFwlG5r8ho6u22ms1mzxsSe49dSsg8+3U54dHr9Q4YBoPBYF9oPF+gHGjfQMcvFDYVFEXGP4VWEREZMR1tOU4czTJ/cYBAcOQHoDAnjuH+w58CYH/2IawZM0f8niIDKW6ZHOpysOde6nONxSHS5/P1C3yhUKjv+GBevded/XOKj58vNKq7qYgMlkKriIiMCGMMu7an8AcsGheMfCuraT6eb2E1BvszX8Ca1jDi95Txz3VdstksmUymLzAOtD3Q/gsFylwuN+RaikOkz+frWw8Gg/2C4dnLoYZMtTyKyHij0CoiIiPi1IkcradyXLUihM83sn8km1MncP/xT8F1sD/9twqsE5Qxhmw2SzqdHjBEHj58mPb29gED5/lC6VAG2vF4PPj9/nNCYzgcvmCoHGg50D6FSRGRgSm0iojIsHNdw67tSSJlNrOu8I/ovUxXO+7/+XPIZbE//QWs6eoSPBY5jkMmkyGdTpPJZM5ZH2jfQOuD1dtq2Rsye1+RSKRv/exjF9sezTkWRUTkDIVWEREZdkcOZYh3uay6IYxtj1zrkUklcL/y19DZjv1Hf4M1Y9aI3Wuy6m3dvFiovFjgHEyLZm9Lpt/vJxAI4Pf7KS8v71sv3j9QqJw6dSrxeFwBU0RkglFoFRGRYZXLGvbtTFFV46Fuhm/E7mNyWdxvfhGOHsL+3T/FalwwYvcar3pHmE2n0+d9DSZ0DmbAn95Q2RssQ6EQ5eXl/YLmhdb9fj9e7+X9WVJeXk42m72snyEiImOPQquIiAyrA3tSpFOGa9aGRuwZPeO6mIe/Artew/rwJ7GWXjMi9xkrXNcllUqRSqVIJpP9lqlU6pwQWrx9salKbNs+J0DGYrGLhsyzA6eexxQRkZGi0CoiIsMmlXQ5tDfN9AYfldUj9xVjHv0uZutGrPs+iH3D20bsPiPFGEMqlSKRSNDT09O3LA6kxevpdPq8P6t3nsveVzAY7NeltvjY2a/haN0UEREZafqmEhGRYbN3RwrXwMKlIzfFjfvkTzFP/gTrlnuw7vqNEbvPpTLGkEgk6O7upqurq98ykUj0vQZqAfV4PIRCIYLBIKFQiLKysn7bAy19vpHrgi0iIjIWKLSKiMiw6OpwOPJmhsb5ASJRz4jcw926EfPIP8PK67He99GSdknN5XK0tbXR2tra9+rs7KS7u/ucQYcCgQBlZWVEIhGqq6sJh8NEIpF+y3A4rG62IiIiA1BoFRGRYbFrexKfz2LeosCI/HyzaxvmX74M86/C/q9/iGWPTDA+m+u6dHZ20tLSck5A7R2gyOPxUFlZSU1NDY2NjZSVlRGLxSgrK6OsrIxAYGR+JyIiIpOBQquIiFy2081ZTjfnWLQsiD8w/FONmCMHcb/xd1A3A/t3P4/lG/65X40xxOPxvlAaj8dpamqira2tX8tpRUUF1dXVzJ8/n+rqaqqrq6moqNAUKyIiIiNEoVVERC6LcQ27ticJRWxmzxv+FkVzuhn3y38JkSj2J/8CKxy97J+ZSqVobW2lpaWFtra2vlbUTCbTd04sFqOiooJly5b1hdOqqioNXCQiIjLK9M0rIiKX5cibGbo6XFZcF8bjGd7nMU1XB+7/+XNwHOxPfwGrsnpI1zuOQ3t7Oy0tLX2v1tZWenp6+s4JBAJUV1ezYMGCvnBaXV1NfX09LS0tw/p+REREZOgUWkVE5JJlM4Y9O1JU1XiY3jC8o9iaVBL3K38FHa3Yf/g3WNPqL3h+PB7vC6W9AbW9vb1vlF7btqmurqahoYGamhqqqqqoqakhEolo8CMREZExTKFVREQu2f5dKTJpw+J1oWENfiaXw/2nh+DoIez/8adYVyw855z29naOHj1KU1MTTU1NxOPxvmPRaJSamhrmzJlDTU1N33OnHs/oDN4kIiIiw0ehVURELkm82+HQ/jQNc/xUVA3f14kxBvPdr8LO17B++xNYy67p29/c3MzBgwc5dOgQHR0dAEQiEaZPn860adOora2lurqaYHDk5okVERGR0aXQKiIil4msEDcAACAASURBVGTXtiS2DQuXDG9ANI9+F7PlGax3/Rb2jXfQ1dXF7t272bNnD52dndi2TX19PcuWLWP27NnEYjF17xUREZnAFFpFRGTITjdnOdmUY+HSIMHQ8E314m74GeaXP4ab3s7RJWvY/p//yeHDhwGor69n9erVNDY2at5TERGRSUShVUREhsR1DTtfSxKO2DTOH77w6L70HM4PvsP+q9fyKjHafvYzQqEQq1evZtGiRcRisWG7l4iIiIwfCq0iIjIkRw5m6O5yWXXD8E1x4+x4hb0/+j6/XnwzHY6XGtvm9ttvZ968eZoXVUREZJLTXwIiIjJomYzLnjdSVE/xUjfj8qe4Mcawf/NGtmzZQkf9Iqqrqrh7zRquuOIKPacqIiIigEKriIgMwZ7XU2SzhsVXX/4UN6dOnWLjU09xorWVKtvmrpvXMXfJMoVVERER6UehVUREBqW9NcdbBzPMmeenvPLS5ztNJBK88MIL7Nq1i5CT5eaOJhb/jz/CM3X6MFYrIiIiE8WohNaWlha+/vWv09HRgWVZ3Hbbbdx9992jcWsRERkGxjXseCVJIGixYEno0n6GMezcuZPNmzeTy+W4uqeVVScPEvr0X2MpsIqIiMh5jEpo9Xg8fPCDH6SxsZFkMsnnPvc5li5dSn19/WjcXkRELtPhgxk62x1WXBfG5xt6992Ojg6efvppjh8/Tn1dHTfteoGKlibsT/0FVv2cEahYREREJopRCa2VlZVUVlYCEAqFmDFjBm1tbQqtIiLjQCrpsmdHkpqpXqY3DG3wJdd12bZtGy+++CIej4dbb7ieheu/i3X6BPbv/wXW3EUjVLWIiIhMFKP+TOupU6d48803mTt37mjfWkRELsGubUlcB5asHNrgS11dXTz55JM0NTXR2NjITdesJPytL8KpE9i/9z+xFlw1glWLiIjIRGEZY8xo3SyVSvHnf/7n3H///Vx77bXnHN+wYQMbNmwA4KGHHiKTyYxWaVLg9XrJ5XKlLkMGSZ/X+DIeP6+mYwl++bMmlq2qZMW11YO+7vXXX2f9+vUA3HvvvSyuq6Xjr/4Qp6WZij9+iMCKNSNV8rAZj5/XZKfPbHzR5zW+6PMaX8bD5+X3+wd97qiF1lwuxxe/+EWWLVvGvffeO6hrmpqaRrgqOVtNTQ0tLS2lLkMGSZ/X+DLePq9czrDxl91g4Oa3l+HxXryVNZ1Os3HjRvbs2UNdXR133nknse523C//BWTS+RbWcdIleLx9XqLPbLzR5zW+6PMaX8bD5zV9+uAHYRyV7sHGGP7pn/6JGTNmDDqwiohIae3dkSIRd7nu5sigAmtrays///nP6ezsZPXq1axevRpr/y7cb/wt+APYn30Ia8asUahcREREJpJRCa179+7lueeeY+bMmXzmM58B4P3vfz8rVqwYjduLiMgQtbfkOLQvzawr/NRMvfjgS3v37uXpp5/G7/dz//33M2PGDNwtz+A+/FWorcuPElw9ZRQqFxERkYlmVELrwoUL+eEPfzgatxIRkcvkOIZtLycIhi2uXHbhOVkdx2Hz5s1s376d6dOnc9dddxEOh3HX/wfmP78PC5Zg//c/wYpER6l6ERERmWhGffRgEREZ2/btTBHvcrl2XeSCc7ImEgkef/xxmpqauPrqq7nhhhuwjYv5ly9jXvwV1nW3YP32J7C8Q5smR0RERKSYQquIiPTpaMtxcE+ahtl+pkw7f9hsbW1l/fr1JBIJ7rzzThYsWIDpieN+8+9g7w6sdz6Ide8DQ5oiR0RERGQgCq0iIgLkuwVvfymBP2CxaHnwvOcdPnyYJ554Ar/fz3ve8x6mTp2KOd2M+5W/gtPNWP/1D7DX3DKKlYuIiMhEptAqIiIA7NmRoqvTZfWNEfx++5zjxhi2b9/Opk2bqKmp4d5776WsrAxzcA/u1/8WHAf7D/4Ka8FVJaheREREJiqFVhER4XRzlkN708ye62fq9HO7BTuOw3PPPceOHTtobGzkzjvvxOfz4W7diHn4K1BZjf37/wurrr4E1YuIiMhEptAqIjLJZdIur21NEI3ZA44WnEqleOKJJzh69CgrV67k+uuvBzgzQvC8Rdj//fNYZbHRLl1EREQmAYVWEZFJzBjD9peTZDKGa9dF8Hr7D5zU0dHB+vXr6ezs5LbbbmPRokWYbAbz3a9itm7MjxD8wU9g+TRCsIiIiIwMhVYRkUnsyKEMzcezLFoWpLyy/1fCsWPHePzxxwG47777mDFjBqa7E/cbX4ADu7He/QGsu9+rEYJFRERkRCm0iohMUvEuh52vJamZ4qVxQaDfsZ07d/LMM89QXl7OO97xDioqKjDHj+B+7a+hsx3rv30W+5q1JapcREREJhOFVhGRSSiXM/z6+R48Xourrw33tZa6rssLL7zAq6++ysyZM7nrrrsIBAKYX2/GffgrEAhif/pvsRoXlPgdiIiIyGSh0CoiMskYY9jx6wTdXS5rbooQCuent8lkMjz55JMcOnSIpUuXsm7dOiwM7o8exvzyx9C4APvjn8OqrC7xOxAREZHJRKFVRGSSOXIow7G3ssxfHKS2Lj+AUnd3N+vXr6e1tZWbbrqJZcuWYeJduN/+B9i1Deumt2M98DENuCQiIiKjTqFVRGQS6WjL8carSWrrvMxflH+O9eTJk6xfv55cLsc73/lOZs2ahdm7A/c7/xu6O7E+9HvYa28vceUiIiIyWSm0iohMEumUy8vP9+APWCy/NoxlW+zbt4+nnnqKSCTCfffdR1V5Oe5P/hXzxI+gdhr25/4ea9YVpS5dREREJjGFVhGRScBxDC9v7iGTNtxwaxR/wOKll15iy5YtTJs2jXvuuYdQZyvu3/8dvLkPa+3tWA98FCsYKnXpIiIiMskptIqITHDGGHa8kqS91WHldWGiMXjyySfZu3cvCxcu5Nabb8Z+ej3uf34fgkHs3/ks1ipNZyMiIiJjg0KriMgE9+a+NEffzDBvUYCKmhw//vFjNDc3c91117Fy2hTMl/4Ec3g/rLgO+7c+jhWrPOdnGGPoTjuc7MnSmXLoTOXozjhkHYNrwDWGgMcmGvBQ5vdQEfQwJeqjMuTFLkynIyIiInIpFFpFRCawU81Zdm5PUTfDR820Hn7wg/Ukk0nuevvbuWL/Nsw//x0Ew1j/7bNYq27Asiwc13C0M82+1hR7W5Icbk9zojtDT9Yd8v29tsWUiJcpUT8NMT8N5QFmlvtpqAgQ9XtG4B2LiIjIRKPQKiIyQXV1OLzyQg+xmE1V3SkeeeQX+P1+3rPuBmp++E+Ytw5grVqL9eDv0BOI8upb3bx8PM6rTXHimXxALfPbNFYFWTc7xvSYn6lRHxVBL+UBD2UBDz6PhW1Z2Bakc4Z4xiGecWhP5jgZz3KqJ8vJeJbmeJYnD3SQdkxffVUhbz7AlgeYWRGgodzPzPIAEYVZERERKaLQKiIyASUTLlufi+PxQLjqII8/sZmamhruCUPka38J4Qipj32OF6sXsXFrJztPncAxEAt4WF0fZenUCAtqQkwr82ENsntvyGcR8tnURnzMObeHMa4xnO7JcqQjw9HONEc60xzpzJwTZqtDXhoqAswq9zOzIsDM8gAN5QFCPnu4fj0iIiIyjii0iohMMNlMPrBmsw6eyGu8uGUnjdOncdueLdhvHWD7te/mmbm3sOVQmsz+ZqaX+blvUTWrZkSYXx3CY4/MM6i2ZTE16mdq1M819dG+/a4xnIpnOdqZyQfZjnygfeJUgkxRmJ0S8TGz3E99eYAZMX/fqzzgGXSwFhERkfFHoVVEZAJxHMPLzyfo7EySYjMn9x1nRXWMZc/+mCdnXMvPb/8vNGc9RE5nuLWxnFsby5lfHSxp6LMti7oyP3Vl/cOs4xpOxrOFFtneMJthe3OCrHsmzEb8NjPK/P2C7IxYgGllPvwetc6KiIiMdwqtIiIThDGG7S8laG5qoyP9LIlEF9c4SXYeDfL1NZ8nYflYWB7itxZUsqYhOuYDnce2mB7zMz3mZ01DWd9+x813Mz7eleF4dya/7MqH2Wfe7Oo7zwKmRH0DBFo/VSGvWmdFRETGCYVWEZEJwBjDzteSHDhwlNb4Riw3h8lE+FLtLWDb3DArxjsWVjG/JlTqUi+bxz7TMrvyrGOJrENTV5bjXel+gXbnqUS/52aDXpsZMR8zyvJdjafH/NQXlkHv2A7zIiIik41Cq4jIBLD3jRSvv76T1u6tGDxsLbuGVHmEO2eFec/KemrCvlKXOCrCPg9zqz3MrQ722+8aQ2si1xdiewPtnpYEm97qwhSdWxP2Ul8eYN7UTqp9LvXlfhpiAcqDenZWRESkFBRaRUTGuf27k2zd+gKdiZ10eCt4I7KUm6JJ3nvHXKaUBUpd3phgWxa1ER+1ER9XT4v0O5bOuZwoapU9Vng9tvMkyaK5aaN+mxmx/NQ8M2L5IFtf7mdKxDdig1eJiIiIQquIyLh2YE+cjc89RSJ9lGOBBkJWhH+4rpyZ868udWnjRsBrM7syyOzK/q2zVdXV7D3SnA+xnem+5a+Px9lw0Ok7z2tDXTQfZKeX5bsYz4j5mVHmV+usiIjIMFBoFREZp/bsbOXZjY+TybVz3D+T+6s8rH73zdg+f6lLmxCKW2eXn9U62512ONaVPtPduCtDU3eGV5p6yBWNbBz22UwvDAQ1vRBqZ8T8TCvzEfZ5RvstiYiIjEsKrSIi49DmzW+yfdsGHJMla0/lz25ZSNmChaUua9IoC3i4sjbMlbXhfvsd19CSyPYLsk1dGXadSrDxcFe/c6tCXuqiPurK/EwrLHu3y/y2WmhFREQKFFpFRMYRYww//emvOXb0ZYztpzFWy90P3IsdHP+jAk8EHttiatTP1KifFdP7H+t9drap6PnZ5niW15ri/Crl9Ds34rOpK/NRFz0TZOuiPqaV5afr0TO0IiIymSi0ioiME04ux7997xk6unZjeSq4Z/kCrrj+2lKXJYN0vmdnAVI5l5PxLM3d+SB7orA81J5iy9FuimbrwWtbTIn4mBr1MSXioybiZUqhG3Nt2Ed1WKFWREQmFoVWEZFxoOd0G9//yWaSqcN4fVP44G/eTll1danLkmES9NrMqggwq+Lc0Z57uxw3x7M0d2dpjmc40Z3lVE+WQ20pOtP9W2ltK9/1uC/IRnzURrzUhn3URn3UhL16nlZERMYVhVYRkTGuadsufvbiG2SzzUQis/jQh+7B69U/35NFcZfjZXXnHk/nXE4nspzuyXG6J9vvtft0ks1vdfVrqQUIeW2qw16qwl6qQ16qwz6qQl6qw/lXVchLRVAttiIiMjborx4RkTHKuC7bf/orXmxuJptrp27aEn7zvbeUuiwZYwJem/pYgPrYwHPyOq6hPdUbaHO0JLK0JXK0JnO0JnK8cTJBWzJ3TrC1LagMFoJtIdxWhXx925UhL5VBL1ENGiUiIiNMoVVEZAwy8S6e/PeNHEifxHHTLL56HW9bt6zUZck45LEtasI+asI+rqwd+BzXGLpSTiHIZmlN5GgrhNrWZI6mrgw7TiboybjnXOu1oSKYD7H5pYeKYKG1thBse/cFvPYIv1sREZmIFFpFRErM5LKQTmFFygDI7d/Dj391hJOZY2B5eNtd72LxvPoSVykTmW1ZVBRC5hVV5w4U1SuVcwuttFk6kg4dqXy47UjlaE86tCSy7G9N0plyMANcH/bZfcG2t6U2H2zzoTZWWJYHPfg9CrgiIpKn0CoiUiIml8Ns3Ujm5z8mnbWIfezjpN48zA/fCtCZ3ovli/HAA+9iSlVFqUsVAfIDRk2P+Zke81/wPMc1dKYdOpI52pM52lM5OpIO7anCdjLHobYU7UmHZO7c1lvIP3dbHvRQHvRSEfQQC5xZLy8E2/LCvljAo+dvRUQmMIVWEZFRZlwX88LTOI89wpbyleyeeSs5p5v5//k6R2KVxFO78Uan8ZEH30koOPBziiJjmce2qArluwhfTCrn0p7M0Zly6Ezl6EwXlimHzpRDRzpHczzLvpYknWkHd4AmXAuIBjxUR94i6qUvyPa22pYXBd1YIP8crq3ncEVExg2FVhGRUWR6unG+/re84Mxh75y7SaaPQvYkYLHL3wWpFiJT5vHh996Bx6NpSWTiC3ptppX5mVZ28XNdY4hn3KJQ2z/kJo2HU50JDnek6Url6B7gGVzIDzJV5vdQFsi34MYKLbmxQD7s9u0vOh7yasApEZFSUWgVERklbjJB9//3BX5Uu5Z45k3INBGeupB7b7+W7niSra/toXF2Hdctna8/jkUGYFtWX5BsKD/3eE1NDS0tLX3bOdfQVRRqO1I5utMOXWe9TnRl2ZtO0pV2zhlFuZfXhrJCqD070BYH3uLQq4GnRESGh0KriMgoOfnNf+Q/aleRyhzCX9HIe955E7UV+ealuqoY82ZOLXGFIhOLdwjdlAGMMSSybl+Y7S4E3uKA2xt6D3ek6Uo7xNMDDzoFEPBYfcG2rLgV1+8hGrCJ+vPhNlpo9Y36PUTUdVlE5BwKrSIio8DdtZ3vxaeTyr1Fxczl/Pa7byx1SSJyFsuyiPg9RPyeQXVXhvygUz2Zc1tvzwTcHF2p/HZzd4autEMiO3C3ZSg8n+u3iRZCbG+ojQY8lPntvnBbVtjXezzsszUYlYhMWAqtIiIjzBjDixteo5sufGWz+cA7byh1SSIyTDy2RSzoJRYc/J9UjmuIZxy6Mw7xtEu8EHrjmXzQjRf2d2Xyg1Ed78rQnXEGnCe3lwVEBgi1ZYWw29ua27s/6vcQ9dtE/B68CrsiMsYptIqIjDCzbStv+MJYuSS/8e5bsW095yYymXlsqzCa8dD+DOtt1e3OuH0BtzfkdvcG3rSbX884NHVfPOwCBL35FubeIBsttDZHCuvRvqWHiM8mUhR6NZ+uiIwGhVYRkRFkXJdnn9tL2uqksn4FtZXRUpckIuPUmVbdoV3nuIaerEs8XRRuC2E2nim07GZcejIOPRmHk/Es8UyKeMYldZ55dHv5PYUu1b7+ATcfbG0ivrNCb6Hrc8TnwZjzPQ0sItKfQquIyAhyX9rEPp8fywnwoffdgZtJlLokEZlkPPaZUZeHKldo3R0o4PYPvvl9bckcR7syxDMOiYx73kGqALz2/nzLbb8W3jMtvb3dl3vPCfuKt218auUVmTQUWkVELpPp7gSPByvcvxXV5HI8+dIRMrRT2bCSqliYlhaFVhEZP7x9XZmHfq3jGpLZolCbLQq6aQfHG+B0R7ywP9+t+UQ80xeA3Ys0xPo9Vr8gGy5q8Q0Xgm1v2I0Wn1NoAQ56LU0vJjJOKLSKiFwGs/cNur/y93gWLSPyu3/U71h209Mc9lpYbpj771pVogpFRErDY1v5QZ/O08J79ry6xYwxpHKGnmw+5CYyTr6LcyY/+nJv62+isK8nmz/ndE+WnsI5mfNNultgW5zbiuu3CfsKLb4+D2G/3e+caNG5GrFZZPQotIqIXCLT1c6rP3yC5xesJmRP5WPFx7IZntjRSpY2plyxhkgwULI6RUTGG8uyCPksQj6bmvCl/Yys49KTdekptNz2hd2i0NuTzXdj7g3HJ7qz9GRS9GRckhd5nhcg6LXPG3AjRa26xa2+xedrICuRwVFoFRG5RKcf/REvVpSDSZHOtfU7ltr8K457stiUcd8dK0pUoYjI5OXz2FR4bCouoWsznOne3Bto+1p9zwq9+X35ZXsqx7GuTF8wvlgXZ6+d7+LcG2ZDvkI35kJX5rDXLoRhDyGfXejinG8N7r0m6LWx1c1ZJjiFVhGRS2BONrE+WYlrTmB7K8DNYFwHy853g/vFnjg5p5MZC28k4NM/tSIi483FujdfjDGGtGPOCbhnWn3z+/LBON+9OZF1ORnP5kNw1iWZdS8afC0g1Bt8e8OtvxB8C+H2gsHXlw/LPo+Cr4xd+ktKROQS7P/lRnpyLfjK5uAzFon4mzidnXgrqzCnTnDS5LDtMO+8dWmpSxURkRKwLIug1yLotam+xC7Ovc/2JrL5QNvbytsXdAtBuHg7kXXpTDmc6M70XXOx53vhzMBW/YPumdbfmvIerFy6KPjmzwv5bELefEgOevWcr4wMhVYRkSEy8S42x/P/fK67+VpefX4bCVxONZ1memUVbz7/azK504QrF+DzXtr/0IuIiBQ/21t9GT8n61w4+CayLoners+9rb8Zl47kmeCbzLZfcAqjXkGv3dfyGy4E2n7bhRbfcFHYDRXCcvF5fo9Gd5YzFFpFRM7DJBOQSmJV9v9ToeXpDfQ4LXjD9SyeU8ue10K0t8GJ5g6mL4YXTzmAYcXqq0pTuIiISBGfx6Lcc2lTF/Wqqq7mWPOpvud6ExmHZM4tCrX5V28ITuZ6t10649nC8fyxQTT8YluFbs/efKAN9gu+ZwfjoiB8dkD22ur6PAEotIqIDMDd+AveeuwXdEansOx/fg7Lzo/waLIZfnnMwZgsS1bmB1gqryjj+DFo6Uhgshm6nTS2J8qKBdNL+RZERESGjW1Zha7Dl9eDyBhDxjH9Qm2i0LrbP/y6JHL5oNu7HS9Ma9R37iBGeAbwFQa8Kg67IW//1t3QOYFY3Z/HEoVWEZGzOJs38L0dXXQ2NAI2izs78FVWAdDz1ON0mA48/imsvXomADVTK+EN6E6mSe3dTdZpwx+eUcJ3ICIiMjZZlkXAaxHwXvrIzr1cY0j1C78XbvE9s3RoS+Y4XnjuNznI534BAh6rL9j2dn0+0wXa039/IeiGz9rXu64u0IOn0CoiUsScOMr3t7XS6Z4s7HE59uYJ5lRWYXri/OxQGtdN0rhobd8XzfQZNQAk0zlefv0YxmSpmaZWVhERkZFU3Pp7Oc/8AuQKUxz1tvr2C8I5t/+x3JlwnMy5tCVzJLvdIQdg24KQ1yZ4nlA74L4Bj0/8btAKrSIiBaYnzub/eIJ2TxpvuJ7pU6Zx5PDLHG9uZw5w+rlNtJt2PP6p3L12Qd91NbEgFh7STo43u/P7rlk5rzRvQkRERIbMa1uUBTyUXeIUR8Uc90z357MD7jnrA+zrTGZJ5s4E5EH2gsZrW31htix4hJtnR3nnwqrLfj9jgUKriEjBvu88zOu+IDYh3nP/HRzcf5wjh6G1MwHAhsM9uCbD1ddei114xhXAtm0sO4jj5sgZB9tTxsyp5SV6FyIiIlJKHtsi6vcQ9Q/PDAJZZ2ihN5l1cWwvYZ998R8+Tii0iogAuf27edoTw3V7WL7ubqZWRUk3TOXXW6E7lcU99hYdbhLbW8GNV88653rbDuC6GRw3jjdQW4J3ICIiIhORz2Pj89jEhnBNTU0NLS0tI1bTaJs48VtE5DI8vXEnOaeD2lkrWbssH0qnTy0DbNLZLK9t3U3OaSdWM3vAQRMsfxm5XDuumyISqxzl6kVEREQmLoVWEZmUjONg3tyPSacx7a0cyuSw7SD33n513zlejwfbDpF1s+xsTQFw/XVLBvx5sxcuwOAAMOuKmSP/BkREREQmCXUPFpFJxxw7zP5/+Te2xeYwr/NRrIpysmSJVi8iGvL3O9f2hHDdDD1u/lnVuQ0Dt6LetmYeB7dtxnVTLF+k6W5EREREhotCq4hMKiad4okfb+JAeQxoobkijMcOgOtw662rzjnftgPksu0Yk73g3Ks+r4fauSvoaGujLBwYwXcgIiIiMrkotIrIuGSyGdjzOqa7E2v1Oiyvb1DXHXjsKQ5ZPdiecq5eexM7XtlBtvsQ/shsZk+rOOd8byBMJn0c4KJzrz7w9hVDfyMiIiIickEKrSIyJhjXhXgXnDgGc+Zh+QdurTTdXXQ/9QRPHYMWnwdjcqzc+UNW/Zf3YXkuPLS8yWbZeCqNa3LcdPsdLJtXx/VXNfDzzXu45qqBn0Od1jiLQ9uPgO3jutULBjxHREREREaOQquIlIxxHdIvb+XZ145zwvWQsww5kyLCPm6scJh9y3VY0+r7zs+8upUfvXicdtONQwLLCYJxecn1Yn3rX1n5gfuxys4/IHzTxs0ksyfxh+tZNq8OyM+x+o51i857zT3rFsEFjouIiIjIyFJoFZFRYY6/RXzXXvYd76Yy7CXot3i2KUe724HjxgEby/JheUJ05I6xvsUm+NOtzHCf5/o6i2NtGZ7P+cg4J/H4a5i3eA23X38l2/Y28eLTj7Ml53Dw4V9w39uX4p+3cMAanj7YgcFhxXXnPrsqIiIiImOTQquIjBi3q5N9jz/LG+0OLSZNNteWnxamywIswMX2VTNt/nLuvHERsVC+S/C2/U1sfWEb6a7DHDQ5DjX5MCYH2NTOWsUD71iDbedn7Fq1qIFI8D6e/sUvOJlr5qfPR/nNotBqcjlwHJzOdrpznXi8VaxeXH9usSIiIiIyJim0isiwM8Zw+tnnWL+njZ7sUQAsTxRf+RzKp0yhu60N47pcuXQhNy6dhWVZ/a6/et50rp43nXgixcZXDnDs0GE8vgA337icuQ0159zvysYpzP+d3+Ib3/g2HenUmTpch9e+8R26sxa+ygocp4ua6ctH9s2LiIiIyLBSaBWRYeWeauaxn7zI0WwrjpvAF2tkycolXLuoAZ/HHtLPioaD3HPjVXDjVRc91+Px4PGWk3N6MMZgWRbHHnuCF2wb48vgTWUBm1tvVWgVERERGU8UWkVkSEx7K+2vbCdSFcO/9GrIZsjs2I6byXKstYdnmnpIZZuwPDGW3nA3N6+cO2q1+f1Rkj1HSJ86TaCqgieOp3HdFJblJ5trZUrjtdRVRUetHhERERG5fAqtInJRxnFo37iZX+1podVyyWRPYtthQluP4VqGdK4F1+Ty5xqH6JTFvO++GwkH/KNaZ0VFOYkehx3bD1HryZLKniBUNofl1y7j6PEW7rtdrawiIiIi441Cq4j0Y1wHsLBsG5NMcOCXm3j+RIJ47hSuSWPZEXyxWTjpHuLpo4CNN1SHx/aA63DDdiTtXAAAIABJREFULdezbO60ktQ+e14DTce3cbiplV3pLOCy6rrlLF84g1WLGkpSk4iIiIhcHoVWEQHAOX2apx/bwpG0gweLxWVeXu/OkMwcxwAEpjJ76TLevnou/sKzqS2dPXi9NhWRUElr77X0ygZe3OijNdmD48Tx+KpZvnBGqcsSERERkcug0CoiHHhyM08fbCadbQI8gMOWVgAPvmgDa25ew/LGqedcV1MeGeVKL8zv8xIqm0Wi6wAAVyzWfKwiIiIi451Cq8gk99rPnuGFowdx3BRlUxfx3nesZcPmnZxsOsHtd15P47SqUpc4JDe/bTWP/+QgHl8ld9108VGHRURERGRsU2gVmUSM62CajmHXzwKgadtOXjh6CNfkWHPLPaxeMgeAd9+xspRlXpa5DTUsXHUbM6dXY9tDm2JHRERERMYehVaRSSJ17BiP/nw73U4Ht1zdzrxrFvPYlr04boLla+7oC6wTwR3XX1nqEkRERERkmCi0ilwiYwwt+49yormdKTUxpi6chXWBlr3m3YfY9PIhKsJ+bnvPjViWNSx1uKkkra/spGrFYjyhgQdE2rvhRZ7Zf4RM9iQAL+1p4mRzJ6nMMcKxK7hx9YJhqUVEREREZLgptIoMkZPL8qv1WznY3EQmewpwARvfs9X4vFEsLCJ+P29bt4hQyM+zz+6kqbODdLYZY7Kc6LBo+W6K93/4jsuu5dfrf8WT2w+Qyhxn5uEO3v1bt/U7boxh+8+e4fnjb+E4CWpnLaf12AHi6S52nYxjWX7uu/+my65DRERERGSkKLSOM11tXWx/9QDJZJpszqE8FmbF6oWEy8LnnJvNZkh2p4hVxUpQ6diRS6XJJNN4fR5s26btVAenT3bQ0ZngqhWNlNdUDurn9A+rzViWn0h0JmXRCN09PSST7WRTbwLQk4IfPH4YjMnPbWp58QenMn/hXHbteJ22+LEhv4+jr+7iVHMHK+++Hjeb4bHvP8uRrsO4JouFzal4V7/zN/77kxzsSpPIHMdgWHnDHdywch7f/v/bSCaOAIayqgVUx6JDrkVEREREZLQotI6C7q44HtsmHD03WHa2dfH0hlfIOS7XrbmShv/X3p0HR3Xe6R7/nl7U2vd9l9gECCGxyIANtjHYIUBs7HjBwU7i3Ekmk2VSNTXJrFXJ1EyVM7njGs9UJh5vjAc7yWVsbCCBMSbI2ARhsI0ESGhDQitC+7519+n7h4yMMbZBgLobPZ8qqrQcTv9OP+rT+um8532zkuls66KirJ7u7n4Gh8cYdboYdY7hdPbjcnUzfmXvYyWnPyA5bib3P3wnADXldRw4VMrYaCsej5uoiJls3rIGq9UKgNvtpqe9l5CIYAKDAnE5xzhb1UJlVRNt3X2Mjg0D5vjanHjA48EwLBiGFcOwkJWSyNr1y27oc3Y97N9dTHVzIy5nJx6PCwMLGAYej2tim9LqMlYVFpK7NOcz92OaJn/YVcyZc80TzWp09Cw23ruKiLBPLvni8Xhwu9388Ug55WWnsVhsJKckc9fqRQQHOgCoraxnaKgRl9OJzW6/omN5d+chTjRWYpoj1G/tp2dsjIHROizWcO5cs453D/wRp6sPj8eDYRgceq2IEx1n8HhcWOzR3L1uDXMyx5esycxO5/SpeqyOBB55cPXVPq0iIiIiIlNKTesNcKaygdLSM3T29jE21ovb3Yth2AkLTWfLY3djs9lorGth/4EPGRxqxvSMArDzdzVYbZG4nB14cF+yVws2WyTBwWnERkYQFhqI3Wajs6uPlo4mms6XcWBvMCGhQRwrPYppjuBwJOI2nXT1VvLG/9hZsSKX37/5HqOj53GbQxhYsVgCMT1OPJ6xjx/JEoJhWD/6zPjon4nH48I0R6iuH2Qtvtu0DvYP8pvfHmBouA6LEUhgYCJWqxWPB8CDzWYjMCAAD9DeUc2hD099omkd7Btg7+736BseYW5GAidrmxgZbcAwHERHz+Yr960i/DJ/gAAwDAObzcbtt+Vx+215l90mwB7AIG7ON7eTkpn8hcfTVHaGE40VePBgWINo6q8EwBGSxg9/8BijQwN8UBxOX18bLdX1xCXFcKK1AQwbG+9/kKyU2E/s7647FmKPCKVwfjpBjitrmkVEREREvGXKmtaSkhK2bt2KaZrcdddd3HfffVP10DeMy+Wi6lQdVdXNdPYNMOYcwnQN4DYHADCwYrVHEeLIYMw5TF9/DS+8MIJhWBgdacaDG7s9gTnp6Tgcdk5VV2OaozgCk4iPjiY2KoyYuAii4yKIiokgICDgsnW0NrXz6hu7Kav5ADAwDBvLFq2i8LY8RkdHef6F/0dLexWv7azB9Ixgt8cTEpKIy+3G7XZisVgJdgSREBfBXXevwLB6PvOYn39uJ0PDjfT39hMWEXbdnsuivUepbmgBYFnBHPIKJzf7a+2ps7z5bjFOZzuBgak89OAaIqM+e3j0r57pxu38eFityznGy7/ex+jY+PDdY6fPABAcksFDD6/9zGb1aoQGO+juhebGjitqWve8W4rbHKZw+RqyZ6VS/N5p4hOiWZ4/k7DgQEaHBkhNjqe8r4bjpWcx36/B5e4lJb3gUw0rgMVi4Y7Fs675OEREREREpsKUNK2mafLCCy/wd3/3d8TExPDXf/3XLFmyhNTU1Kl4+Bvi4P73OVVZjtvd89FXDKzWUKy2MMIDk8hMi2fxsnkEh4zP5upyudi69XcMDzcAFhyOJJYunMuiZfMm9rlqzZJJ1ZKYGseX165h7x8OgsfN2jtuZ/b88eVLHA4HS/PyOVpyFKstjEXzlrJiVcFn7is2NoaOjo7P/H58dCRnm+s5Vnya1V8qnFS9F2uuO8fv9h1hdLQRw7Dh8Zj88YORq2paW+vPs+et9xl1DY5fpfaYJCfO56sP3fWF/zfYEUrvWCuNtS2kZSfz21eKGB1rIiwsm0WLZlNSUk1BwRzy8mZey2F+QmREKI3noLOz7wu3LTt8gpGxZoJD0lm2dPw5ufeeTz/vS5bNpbyimPPdfYy5BrFYgtnwZd+9Gi4iIiIicqWmpGmtqakhMTGRhITxe+pWrFjBsWPH/LZpbW/t5GRFCQDREbPISotnweLZhH/OlUebzcaf/Ml99PaM33cYGRVxXWvKnpPOd2ZsxuPxYL/kPsnC2/Io/Iyhqlcrv2AWZ5tLaTz32Y3tlXpz12GqG8owzRFCQjK4f9Od7N59iJ7eGt5+8yh3XKY5u5hzbIzXt79DW08dpjmMxRqGw5FA4eJc8hdf2RIuyQlR9PbDqRO1BAbZ6ek/i80ey+OPr8NqtbJw4exrPs5LJSRGcbIC+gaGv3Dbw6fGJ3a6887P/4NGZHgINnssw2OtmOYI4ZGzcARo6K+IiIiI+L8paVq7urqIiYmZ+DwmJobq6uqpeOgb4vVd72Cawyycu5zb117d1dGIyBs3k6/NduPjTM9OxmoNZWhkYNL78Hg8/PblP9DeXYHFGkzhottZ9lFTvXHDCl7+dT2VZ5u543P20drQxuu//wNOZztWWyRLFxayfOXCq64lf/FsTtcc43xXL3v+9ximZ5SFOYUTk1bdCGmZSQAMj4197nYHdx9ieKSRgMBkZmSnfOF+IyPi6OhoB2DFbfnXXqiIiIiIiA/wqYmY9u/fz/79+wF48skniY399P14vmDR/DlU1obwwOYvebuU685ms33h826xhGCaw5PKxzRNnvq/r9A3UI3NHsu3n3iExJT4ie/HxsZis0XjcvV87v6ff24XTmc7SYm5/J8/2fSpq8tXKjY2Fqs1jKHRPjzuYWz2WDY9uHZS+7qaxzSMAJxu56eOcaC1jZd/fYDFc1M51VCDxeLgm9984DOfi4vzumfdrbyyrRyrPYYVhQtu6DHI5FzJ60t8h/LyP8rMvygv/6K8/MvNlteUNK3R0dF0dnZOfN7Z2Ul0dPSntluzZg1r1qyZ+Pzz7q30piW3zmPJrfN8tr5rERsb+4XHZbHYcbv7JnX8L7/0Jn0D1QQ4kvjG17+CzWH51H5CgsLo6TvPsUMfUlXZyMDwKA888vHSLKXvlTM0XI8jMJUHH1pNb2/vVddxsdCQeHr7xidcSonLnJJcLZZAXO6xTzzW+2++x7HaWpzOds4dqcbjcTJ33goc9s9+LVycV0xUENGJ88nMTL0pfzZvBlfy+hLfobz8jzLzL8rLvygv/+IPeSUnf/GEpBdYbmAdE2bMmMG5c+doa2vD5XJx+PBhliyZ3KRD4n02qw3THMXlcn3xxhd5+3+P0tVbjd0ezze/cS+BH61beqms9EQAjpeeoaaxkua2Mv544PjE9z84VQt4+NLqa58ICmDDl2/FMOwYho2112FyqSthWBx4zI+HB7+75wjFle/jcnUTFJqJx+PE7khi7VVOzrXlobu4rfDK7ucVEREREfEHU3Kl1Wq18sQTT/BP//RPmKbJnXfeSVpa2lQ8tNwAdpsdMOlo7SYxNe6K/s/w0DBlZ8qxWAK5f9MaHI7LL98DsGTZPEpOFXOuo/Gj5YMMSivKuXV1AaZpMjzSic0WQ8bM6zORV0x8JJnpuThdbsIjQq/LPr+I1RKA09kNjN/jW1bfCIaF++5/kLSUWCrqWshKubLnVkRERETkZjZl97QuWrSIRYsWTdXDyQ0U5AigBzjf2jnRtPZ191G0/zjrN9162Qmhdrz6Dm53H5mp+SQkfv74+qDgQIKCUxkaqscwbAQFJjM03MhQ/xCVp87idvcSHXl9Z/XdeO/K67q/L2K3OxgdHaK3s5ujb59kzHmOsPBs0j5aVzUn68qHS4iIiIiI3MymZHiw3FxCgwMB6LpondH/ee0d6s+VcvCtDz+1vdPppKevCZstmi9/ZcUVPcY3vrGesNAsYqNnEBEaCnioKKvjZGU9AIVL/HsIbGRoMAD79rxPRUsZFksw69ff6uWqRERERER8j5pWuWqRkeMNV1//+DqjLfXnGRpuBOBsy/lPbX9w3we4zUHio5OueFkem83GN5/YyOav3UNiXBQATc0dDI70Y7GEMnte1vU4FK9J+uhqc1tfEx6Pm/Vf2UD8R8cpIiIiIiIfU9MqVy32o+ZqaGQUgP1Fx/F4nFgswYyO9nxq+zNN5zCwsubuyU2+NXteBgBdvYO4nJ3Y7ZGTrNx3XDgmt7sfqy1iYvIpERERERH5JDWtctWSU8fXVR0dcwIwONyD1RpGSHAiLlc3jbXNE9u63W6czg7sAfFERkdM6vESkmOxGIEMDXfg8TiJjZzcfnxJTGwEFksQAHZ7mJerERERERHxXWpa5aqFhAdjGHacbhf9fQO4nJ0E2KNITRgf8lpWVj+xbV1VI6Y5TGjQtTVmFmsILvf4VdyCRbOuaV++wmIJASAqPNzLlYiIiIiI+C41rTIpFsOB23RS/M4JPLhJiosmMnJ8uZih4dGJ7crLGwBITYq5psczjPF7YYODM8ielX5N+/IVVtv4ldacOTfH8YiIiIiI3AhqWmVSDEsApumk6XwXYLBsRS4xMeNN68jo2MR2HT19gEH+kmtboiZ3zkxCgjN47LF117QfX5KZkYLdkcC8Bf49qZSIiIiIyI00Zeu0ys3FMAIwzSFGnVas1jBiE6KxO8Z/nMZc7ontRscGsVrDJn0/6wUrVy9m5erF17QPX3PPPYVAobfLEBERERHxabrSKpPiCAjC7e7H7erBah2/NzMiMhyw4HK7JrZzu3ux2TTRkIiIiIiITI6aVpmUxNgowINpjhDkCJ74usUSgNs9fqX1/Ll2THOEwIAgL1UpIiIiIiL+Tk2rTMqiJXMmPo6N+njor2EEYHrGr7TWVDQBEBEajIiIiIiIyGSoaZVJSUyJw2odX6olJyd14uuGYcfjGV+/tbVtfIma5KToqS9QRERERERuCmpaZdICAiKxWILImHlx02rDY45fae0fHAJg1twMr9QnIiIiIiL+T7MHy6Q98sgaerv7sdk+/jGyWGy43f0AjDpHsFiCiIq5tpmDRURERERk+lLTKpMWFhZKWFjoJ75msdgmhge73SNYLLqfVUREREREJk/Dg+W6slmteDxOhoaGMc1BrFbNHCwiIiIiIpOnplWuK/tHQ4Xrq5swzREcAQ4vVyQiIiIiIv5MTatcV44AOwBVNS0AhAYFerMcERERERHxc2pa5boKdoxfWe3qHZ+MKToqzJvliIiIiIiIn1PTKtdVWNj4ldWRsfHlblJSYrxZjoiIiIiI+Dk1rXJdJSWPN6luZw9gkJ6d4t2CRERERETEr6lplesqa3YaFsOB6RlfozUoWPe0ioiIiIjI5KlplevKZrNhtUUAYLFouRsREREREbk2alrlunMEhABgsWq5GxERERERuTZqWuW6i4sav9JqtwZ4uRIREREREfF3alrlusvLnwFYCA8N9nYpIiIiIiLi52zeLkBuPhnZKWzcuImUlDhvlyIiIiIiIn5OTavcEFlZWupGRERERESunYYHi4iIiIiIiM9S0yoiIiIiIiI+S02riIiIiIiI+Cw1rSIiIiIiIuKz1LSKiIiIiIiIz1LTKiIiIiIiIj5LTauIiIiIiIj4LDWtIiIiIiIi4rPUtIqIiIiIiIjPUtMqIiIiIiIiPktNq4iIiIiIiPgsNa0iIiIiIiLis9S0ioiIiIiIiM9S0yoiIiIiIiI+S02riIiIiIiI+Cw1rSIiIiIiIuKz1LSKiIiIiIiIz1LTKiIiIiIiIj7L8Hg8Hm8XISIiIiIiInI5utIqn/BXf/VX3i5BroLy8i/Ky78oL/+jzPyL8vIvysu/3Gx5qWkVERERERERn6WmVURERERERHyW9ac//elPvV2E+Jbs7GxvlyBXQXn5F+XlX5SX/1Fm/kV5+Rfl5V9uprw0EZOIiIiIiIj4LA0PFhEREREREZ+lplXED2hAhP9RZv7BNE1AefkL5eW/lJl/UV7+YTqdEzU8eBo5f/48NpuNmJgYb5ciV6ClpQWXy0V6erq3S5ErUFFRwbvvvkt6ejr33HOPt8uRL1BRUcH+/ftJSEhg3bp1hIaGersk+RzKy//onOhflJd/mY7nRE3ENA24XC5+9atf8cYbb3Dy5ElM0yQlJQWr1YrH48EwDG+XKBdxu93853/+Jzt37qSiooL+/n5iYmIIDg5WXj6qtraWZ555hsLCQj744ANqamqIjIwkMjLS26XJZZw/f55f/vKX3HbbbdTX13P69GkAkpKSvFyZXI7y8j86J/oX5eVfpus5UU3rNFBbW0tZWRn/8A//QGJiIkePHmVwcJD09HSsVqu3y5NLtLW1UVJSws9+9jNmzpxJVVUVtbW1zJkzB5vN5u3y5DKOHTsGwMMPP0xubi51dXW0t7eTkpKCw+HwcnVyqdLSUvr7+3nkkUeYO3cuAwMDlJeXk5GRQXBwsLfLk0soL/+jc6J/UV7+ZbqeE3VP602qs7NzYny7aZq0trbi8XjIyckhPz+f5uZmKioqvFylXHD+/HlGR0cBcDqdnDlzBpfLRWpqKkuWLGFkZIQjR454uUq54PDhw/zud7+jsrISGJ9SfmRkhJ6eHiIjI8nNzaWvr0+vMR9x6NAhtm/fPvGL2axZs+js7KSjo4PQ0FBycnIICQnh6NGjXq5UQHn5I50T/Yvy8i86J47TldabTEdHB7/4xS84cuQIZWVlZGZmEhERQXt7O4ZhkJSURHR0NGfPnmV4eJjMzExdbfWi7u5unnzySY4cOcJ7771HVlYWKSkptLa20tfXR1ZWFqGhoQwMDNDQ0MDMmTMJCAjwdtnTlmmavPbaaxw4cICMjAxee+01YmJiiIiIoKOjA5fLRVpaGrGxsZw5cwbTNJk5c6aGdXuJx+PhrbfeYu/evSxcuJDt27cTGBhIbGwsw8PDtLa2MmfOHEJDQ+np6aGrq4tZs2bpnOglysv/6JzoX5SXf9E58ZN0pfUms2/fPmbNmsXPfvYzIiMj2bZtG6Ojo0RFRVFbW0tfXx+hoaEkJiZSUVGB3W6fFjOO+ZKLn+/Dhw8zY8YM/vEf/5Hc3Fx27dpFdXU1OTk51NTU0NXVRWBgIDExMXR1dalh9TKLxUJLSwuPP/44GzZs4MEHH+TNN9/E7XYTFRXF2bNnaWpqwmq1kpycPPFXT73Ze4dhGFRXV3Pfffdx55138q1vfYuysjKamprIzMykubmZ6upqLBYL0dHRVFZW6jXmRYZhUFVVpbz8iM6J/kV5+YcLMwLrPeyT1LTeBHp6enC5XBOfX7hxfsuWLbjdbioqKsjKymJ4eJhDhw4BsGTJEgYGBhgaGtLJaIo5nc5PfHwhu02bNhEaGkpNTQ1RUVFERkaye/duAHJzc+nu7mZ4eNgrNU9nBw8epLy8nMHBQQAiIiIYHBzE7XazbNkyEhISOHHiBLm5udjtdn77298C0NXVxYwZM3C73d4sf9ppaWn5xOdpaWl0dXXhdrvJy8sjJSWFuro6YmNjycrK4qWXXmJkZITGxkZiYmImhunL1Dh8+DCVlZX09/cDkJqaqrx83MGDByktLaWrqwvQOdHX7du3jz/84Q8ADA8PExUVpbx82N69e3njjTcmfufQe9jHNDzYj508eZJf/vKXlJWVcfr0aRYvXkx1dTUBAQEkJydjt9sJCQnhwIEDrF27loiICF599VU6Ozt5+eWXyc3NJT8/X03rFDlx4gTPPvssdXV1DA8Pk56eTldXF6OjoyQkJBAcHExwcDAffvghs2bNYu7cubz66qu0traybds2Zs+ezaJFi27aYR++xOPx0NPTwz//8z9TX19PZ2cnx44dY+HChTQ0NNDT00NWVhYBAQEkJCSwfft21q5dy+LFiykpKWH//v3U1NSwefNmwsPDvX0408LZs2f527/9W4qLi1m8eDEhISETX+/r6yMmJobw8HBiYmI4ePAgubm5LFmyhIaGBt555x0qKip4/PHHiYqK8vKRTA8VFRU89dRTNDc309TURFlZGXl5ebS1tdHZ2UlsbKzy8jEVFRX827/9G+fOnWN4eJjDhw+zdOlSqqqqGBwcJDMzU+dEH9Pf388LL7xAZWUlq1atIjg4mJMnT07cHqa8fEd1dTVPPfUUfX193H333cTFxQF6D7uYmlY/1dLSwosvvsiGDRu45557KCoqIi0tjdDQUIqLi8nOziYiIoLExETefvttTNNk2bJlzJs3j7GxMfLz81m3bp0a1inS2trKCy+8wMaNG5k/fz5FRUX09PSQn5/Pe++9R2hoKElJScTGxk7M7rx06VIKCgpwOBzMmzePjRs3qmGdAqZpYrFY6O7upq6ujh//+McsWrSIkydP8sEHH/DAAw/w+9//nqSkJMLDw4mKiuLUqVMMDg4ye/ZsCgoKKCgoYP369dNi3TRvM00TwzA4ceLExL1XF9+vHxYWRmlpKVarlbi4OCIjIzl+/DidnZ0sWLCAvLw8CgoK+NKXvkRYWJi3D+emZ5ompmmya9culi9fzpYtW0hPT6empoawsDCys7MpKSlRXj7kQmYHDhxg6dKlbN68mfj4eM6cOcMtt9xCeHg4RUVFJCYm6pzoAy6cEwEcDgfnzp1jaGiIlpYW8vPziYyMVF4+xDRNPB4Pu3fvxuPx8Jd/+ZdEREQwMjKCzWYjPDyc48ePY7PZpv05UU2rH7nwg20YxsR6qxs3bsQ0TUpKSli2bBmZmZnU1tbS2tpKREQE4eHhuFwuRkdHmTNnDhEREWRlZZGamurtw7npXZzX8ePHJ/KKiopiaGiIV155hfvuu29ikiWr1Up8fDymaU68uYSEhJCcnKy8poBpmvzmN7/hxIkT2Gw2urq6aG5uprCwEMMwKCgo4Nlnn+WWW26ZaIQuTFpx7Ngxli1bRkxMDBaLRUsETIFL85o5cybz588nKiqKffv2MWPGDCIiIggNDWVkZIQzZ87Q1NTE3Llzef/998nPzycpKQnDMLDb7d4+nJvehbxKS0sJDg5m7ty5zJ07F4vFQlBQEPv372f+/PmkpaUxNDREbW2t8vKyizNzOBysXLmS9PR0AF555RVqa2uJi4tjxowZuFwuTp48qXOiF118TgRISEigtbWV6upqvvGNb/Dyyy+zcuVK4uPj6e3tpbKyEqfTqby85NJzYnx8PC6Xi97eXo4cOcLhw4fp7e0lKyuL4OBgTp06RUtLy7Q+J6pp9RNFRUX8/Oc/Z3BwkAULFmCxWHjrrbeoqqpi27Zt2Gw2qqqqKCsr49FHH6W0tJTi4mK6u7vZuXMna9asISEhwduHMW1cmhfAtm3bWLFiBSEhIdTU1NDa2kpLSwsPPPAALS0t7Ny5k8HBQV599VXuueceUlJSvHwU00d5eTm/+MUvCA8PJy0tjT179jB//nz27t1LTk4O0dHRGIZBQEAA+/btY8uWLbhcLoqKiti9ezchISGsWbNG6+hOkYvzSk9PZ+fOnWRlZREXF0dMTAz19fU0NDQwY8YMHA4HycnJxMTEUFRUxN69e7FarWzYsEF5TZFL83rjjTeYM2cOCQkJuN1ubDYbxcXFzJo1i7i4OFJSUpSXl12a2euvv05qaipxcXEcOHCAwcFB7rjjDqqqqigqKuLRRx/VOdGLLs4rIyODnTt3kpqaSnJyMsXFxdxxxx0MDAywbds2qqqq2LRpE4Zh8Pbbb7Nr1y7lNcUu/Z1j165d5Obm0tXVxZ49ewgPDyc/P5/Kykr++Mc/cv/99+ucCEyvo/VTIyMjHDt2jHvvvZeDBw9y++23k5KSwo9//GPefvttsrOzufvuuxkbG+NP//RPWb16NY899hiHDh2iqqqKP//zPycnJ8fbhzFtXJrXqlWryMjI4Pbbb+fXv/41nZ2dxMXF8YMf/IBXXnmFgYEB1q1bR2JiImfOnOFHP/qR8ppihmGwceNGVq1aBYzfQ9LW1sbDDz/Mc889x89//vOJIfZlZWV0dHRQWFjI7NmzJ+5JlqlzaV55nvmKAAAHZklEQVQNDQ2UlJQwb948ADZs2MC///u/09zcTE5ODqOjo2RkZPD9738fp9NJdHS0N8ufdj4vL6vVSltbG+3t7cydOxeAsbEx5eVll8vsww8/ZN68edx6662sXr0agPnz5/Pkk0/S0NCgc6IXXe49rKSkZGJ+k5aWFk6ePEl3dzepqamEhoYqLy+6NK/6+nqqq6tZt24dCxYsYPbs2cD46+tf/uVfaGhoICMjgx/+8IeMjo5O23OirrT6AZvNxpw5c1i4cCFtbW0TwzjsdjtFRUUsXLiQuLg4rFYr7e3tREZGkpycTHp6OgUFBcTGxnr7EKaVS/M6evQoy5cvJy8vjwULFpCZmcn69etxOp3U1NRwyy23YLVaSUpKYt68ecrLCy5cTTAMA8MwGBwcpLW1lY0bN7Jv3z7cbjezZ8+emF7+wi9sgYGBuufHCy6XV3d3N3l5ebjdbkJCQrBYLOzfv59Dhw5x+vRpCgsLcTgcBAUFebv8aefz8oLxX7BN02T+/Pk8++yzNDQ0kJubq7y86HKZ9fT0kJeX94mrO2fPnqW1tZXVq1djsVh0TvSSz3qNLVq0iK1bt/LOO+/wyCOPUFBQwJ49e1i7dq3y8qJL8xoaGqK9vZ3FixdPjOwCqKuro6WlhbvuuguLxUJAQMC0PidqyRs/caGRWb9+PefPn+f48eNYLBYSExN59tlnaWlpYceOHVRWVpKWlublauXivNra2igpKcFisRAcHDxxFfWtt97C4XBMu+EdvsjhcGC327FYxk+JJ06cmJgx8c/+7M9obm7mySef5OmnnyY7O9ubpQqfzqu0tJSYmBiAicnKmpqaKCkpISMjg+9973teq1U+Py+A9vZ29uzZw9/8zd8QHR3Nww8/7K1S5SNflFlbWxs7duzgueeeY8aMGXof87LL5RUVFYXVauUnP/kJ//Ef/0FhYSG33nor9957r/Lyss97fRmGQW9vLzt27OD5559nxowZmoTzI/qp9TORkZGsXr2a119/nYKCAjZt2kR/fz+vvvoqpmnyk5/8RFfqfMjFeeXn52OxWKipqWHHjh243W6++93vTpy0xPsuLOjd29vLkiVLAAgKCmLz5s00NjYSHx8/bYfl+KKL8yooKADGm9WxsTECAwN5+umniY+P92aJcpHL5dXW1kZ5eTnLly/nscceu6mXa/BHl8vs/PnzHDp0iI6ODv3O4WMuzmvRokUA2O12XC4XVqsVi8UyMVJIvO9yr6/W1laOHTtGV1eXXl+XUNPqZ0zTZO3atZw4cYLnn3+egIAAVqxYQXp6OgEBAd4uTy5xcV4vvvgiNpuNvLw8Hn/8cRITE71dnlzCMAxcLhdhYWHU19fzX//1X4SGhvLEE0/oPmMfdGleW7duJSoqii1btnD//fd7uzy5xKV5vfjiiyQkJPDoo48SGRnp7fLkMi73GouLi+Ohhx7S+p0+6HLvYeHh4Xz961+fWLtafMflXl+xsbE8/PDDen1dhppWP2OxWBgdHaWvr4/y8nIeeOABZs6c6e2y5DNcLq/8/HxvlyWfwTAM6urqOHToEG1tbdx55536q7QPU17+RXn5H2XmX5SXf1FeV8fweDwebxchV2fXrl10dXXxta99bdqszeTPlJd/6ezs5J133mHDhg3Kyw8oL/+ivPyPMvMvysu/KK8rp6bVD5mmqfsg/YjyEhERERGZPDWtIiIiIiIi4rN0+UdERERERER8lppWERERERER8VlqWkVERERERMRnqWkVERERERERn6WmVUREZIrs2LGDZ555xttliIiI+BXNHiwiInKdPPbYYxMfj42NYbPZJpa8+va3v83KlSu9VZqIiIjfUtMqIiJyA3zve9/jO9/5Dnl5ed4uRURExK/ZvF2AiIjIdLF9+3ZaW1v54Q9/SFtbG9///vf57ne/y/bt2xkZGWHz5s1kZ2fzzDPP0NHRwcqVK/nWt7418f8PHDjA7t276enpYebMmXz7298mLi7Oi0ckIiJy4+meVhERES+qrq7m6aef5kc/+hEvvfQSO3bs4O///u956qmnKC4upry8HIBjx47x+uuv8xd/8Rc8//zz5OTk8PTTT3u5ehERkRtPTauIiIgXffWrXyUgIICFCxficDi47bbbiIiIIDo6mpycHOrq6gB466232LRpE6mpqVitVjZt2sTZs2dpb2/38hGIiIjcWBoeLCIi4kURERETHwcEBHzq85GREQDa29vZunUr//3f/z3xfY/HQ1dXl4YIi4jITU1Nq4iIiB+IjY3l/vvv1wzEIiIy7Wh4sIiIiB9Yu3Ytb7zxBo2NjQAMDQ1RXFzs5apERERuPF1pFRER8QOFhYWMjIzwr//6r3R0dBAcHMyCBQtYvny5t0sTERG5obROq4iIiIiIiPgsDQ8WERERERERn6WmVURERERERHyWmlYRERERERHxWWpaRURERERExGepaRURERERERGfpaZVREREREREfJaaVhEREREREfFZalpFRERERETEZ6lpFREREREREZ/1/wHvgFsQIjW28gAAAABJRU5ErkJggg==", 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", 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" ] }, "metadata": {}, @@ -275,8 +509,9 @@ ], "source": [ "# NBVAL_SKIP\n", - "results = []\n", - "with MAGICC7(root_dir=\"../../magicc\") as magicc:\n", + "exe_path = os.environ.get(\"MAGICC_EXECUTABLE_7\", \"../../magicc/run/magicc\")\n", + "root_dir = os.path.dirname(os.path.dirname(exe_path))\n", + "with MAGICC7(root_dir=root_dir) as magicc:\n", " # binary readers aren't yet ready and we can't do this through\n", " # the run method just yet\n", " magicc.set_output_variables(\n", @@ -286,13 +521,16 @@ " emissions=False,\n", " parameters=True,\n", " )\n", - " for name in scenario_names:\n", + " for i, name in enumerate(scenario_names):\n", " # note that we obviously don't need magicc_version as an argument\n", " # here as it is assigned automatically\n", " print(\"running {}\".format(name))\n", " scen = getattr(scenarios, name)\n", " scen_results = magicc.run(scen)\n", - " results.append(scen_results)\n", + " if i != 0:\n", + " results = results.append(scen_results)\n", + " else:\n", + " results = scen_results\n", "\n", "results.filter(variable=\"Surface Temperature\", region=\"World\").line_plot(\n", " x=\"time\"\n", @@ -312,7 +550,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "metadata": {}, "outputs": [ { @@ -320,21 +558,24 @@ "output_type": "stream", "text": [ "MAGICC6\n", - "running RCP26\n", - "running RCP45\n", - "running RCP60\n", - "running RCP85\n", - "MAGICC7\n", - "running RCP26\n", - "running RCP45\n", - "running RCP60\n", - "running RCP85\n" + "running rcp26\n" + ] + }, + { + "ename": "WineNotInstalledError", + "evalue": "Wine is not installed but is required to run `.exe` binaries", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mWineNotInstalledError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[10], line 19\u001b[0m\n\u001b[1;32m 17\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mrunning \u001b[39m\u001b[38;5;132;01m{}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;241m.\u001b[39mformat(name))\n\u001b[1;32m 18\u001b[0m scen \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mgetattr\u001b[39m(scenarios, name)\n\u001b[0;32m---> 19\u001b[0m scen_results \u001b[38;5;241m=\u001b[39m \u001b[43mmagicc\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrun\u001b[49m\u001b[43m(\u001b[49m\u001b[43mscen\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 20\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m i \u001b[38;5;241m!=\u001b[39m \u001b[38;5;241m0\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m j \u001b[38;5;241m!=\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[1;32m 21\u001b[0m results \u001b[38;5;241m=\u001b[39m results\u001b[38;5;241m.\u001b[39mappend(scen_results)\n", + "File \u001b[0;32m~/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/core.py:356\u001b[0m, in \u001b[0;36mMAGICCBase.run\u001b[0;34m(self, scenario, only, debug, **kwargs)\u001b[0m\n\u001b[1;32m 354\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m IS_WINDOWS \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mbinary_name\u001b[38;5;241m.\u001b[39mendswith(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m.exe\u001b[39m\u001b[38;5;124m\"\u001b[39m): \u001b[38;5;66;03m# pragma: no cover\u001b[39;00m\n\u001b[1;32m 355\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m _wine_installed:\n\u001b[0;32m--> 356\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m WineNotInstalledError(\n\u001b[1;32m 357\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mWine is not installed but is required to run `.exe` binaries\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 358\u001b[0m )\n\u001b[1;32m 359\u001b[0m command\u001b[38;5;241m.\u001b[39minsert(\u001b[38;5;241m0\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mwine\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 361\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n", + "\u001b[0;31mWineNotInstalledError\u001b[0m: Wine is not installed but is required to run `.exe` binaries" ] } ], "source": [ "# NBVAL_SKIP\n", - "results = []\n", "for j, mclass in enumerate([MAGICC6, MAGICC7]):\n", " print(\"MAGICC{}\".format(mclass.version))\n", " with mclass() as magicc:\n", @@ -347,13 +588,16 @@ " emissions=False,\n", " parameters=True,\n", " )\n", - " for name in scenario_names:\n", + " for i, name in enumerate(scenario_names):\n", " # note that we obviously don't need magicc_version as an argument\n", " # here as it is assigned automatically\n", " print(\"running {}\".format(name))\n", " scen = getattr(scenarios, name)\n", " scen_results = magicc.run(scen)\n", - " results.append(scen_results)" + " if i != 0 and j != 0:\n", + " results = results.append(scen_results)\n", + " else:\n", + " results = scen_results" ] }, { @@ -374,7 +618,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -476,7 +720,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -512,7 +756,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -522,7 +766,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -557,7 +801,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "climate-model-pymagicc", "language": "python", "name": "python3" }, @@ -571,7 +815,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.4" + "version": "3.13.2" } }, "nbformat": 4, From 7620d5fdd50b4748091b93bf8d23f0ac6e4e23b7 Mon Sep 17 00:00:00 2001 From: Sean Kelley Date: Fri, 21 Mar 2025 15:34:22 +0000 Subject: [PATCH 4/6] magicc6 working with wine; battling imports --- notebooks/MAGICC7.ipynb | 451 +++++++++++++++++++++++++++++++--------- 1 file changed, 351 insertions(+), 100 deletions(-) diff --git a/notebooks/MAGICC7.ipynb b/notebooks/MAGICC7.ipynb index a36a5eea..fe473c1a 100644 --- a/notebooks/MAGICC7.ipynb +++ b/notebooks/MAGICC7.ipynb @@ -53,7 +53,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -82,7 +82,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -141,7 +141,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -409,13 +409,100 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "/Users/seangtkelley/Source/blog-posts/climate-model-magicc-python/magicc-v7.5.3-overwrite\n", + "running rcp26\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", + " warnings.warn(warn_msg)\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", + " warnings.warn(warn_msg)\n" + ] + }, + { + "ename": "ValueError", + "evalue": "You have more than one `FILE_EMISSCEN_X` flag set. Using more than one emissions scenario is hard to debug and unnecessary with Pymagicc's Dataframe scenario input. Please combine all your scenarios into one Dataframe with Pymagicc and Pandas, then feed this single Dataframe into Pymagicc's run API.", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[14], line 20\u001b[0m\n\u001b[1;32m 18\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mrunning \u001b[39m\u001b[38;5;132;01m{}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;241m.\u001b[39mformat(name))\n\u001b[1;32m 19\u001b[0m scen \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mgetattr\u001b[39m(scenarios, name)\n\u001b[0;32m---> 20\u001b[0m scen_results \u001b[38;5;241m=\u001b[39m \u001b[43mmagicc\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrun\u001b[49m\u001b[43m(\u001b[49m\u001b[43mscen\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 21\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m i \u001b[38;5;241m!=\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[1;32m 22\u001b[0m results \u001b[38;5;241m=\u001b[39m results\u001b[38;5;241m.\u001b[39mappend(scen_results)\n", + "File \u001b[0;32m~/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/core.py:342\u001b[0m, in \u001b[0;36mMAGICCBase.run\u001b[0;34m(self, scenario, only, debug, **kwargs)\u001b[0m\n\u001b[1;32m 338\u001b[0m kwargs\u001b[38;5;241m.\u001b[39msetdefault(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mrundate\u001b[39m\u001b[38;5;124m\"\u001b[39m, get_date_time_string())\n\u001b[1;32m 340\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mupdate_config(\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[0;32m--> 342\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcheck_config\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 344\u001b[0m exec_dir \u001b[38;5;241m=\u001b[39m basename(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39moriginal_dir)\n\u001b[1;32m 345\u001b[0m command \u001b[38;5;241m=\u001b[39m [join(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mroot_dir, exec_dir, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mbinary_name)]\n", + "File \u001b[0;32m~/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/core.py:504\u001b[0m, in \u001b[0;36mMAGICCBase.check_config\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 502\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m k\u001b[38;5;241m.\u001b[39mstartswith(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mfile_emisscen_\u001b[39m\u001b[38;5;124m\"\u001b[39m):\n\u001b[1;32m 503\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m usr_cfg[nml_to_check][k] \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m [\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNONE\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m\"\u001b[39m]:\n\u001b[0;32m--> 504\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_check_failed\u001b[49m\u001b[43m(\u001b[49m\u001b[43memisscen_error_msg\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 506\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_check_config()\n", + "File \u001b[0;32m~/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/core.py:462\u001b[0m, in \u001b[0;36mMAGICCBase._check_failed\u001b[0;34m(self, msg)\u001b[0m\n\u001b[1;32m 460\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_check_failed\u001b[39m(\u001b[38;5;28mself\u001b[39m, msg):\n\u001b[1;32m 461\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mstrict:\n\u001b[0;32m--> 462\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(msg)\n\u001b[1;32m 463\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 464\u001b[0m warnings\u001b[38;5;241m.\u001b[39mwarn(msg)\n", + "\u001b[0;31mValueError\u001b[0m: You have more than one `FILE_EMISSCEN_X` flag set. Using more than one emissions scenario is hard to debug and unnecessary with Pymagicc's Dataframe scenario input. Please combine all your scenarios into one Dataframe with Pymagicc and Pandas, then feed this single Dataframe into Pymagicc's run API." + ] + } + ], + "source": [ + "# NBVAL_SKIP\n", + "exe_path = os.environ.get(\"MAGICC_EXECUTABLE_7\", \"../../magicc/run/magicc\")\n", + "root_dir = os.path.dirname(os.path.dirname(exe_path)) + \"-overwrite\"\n", + "print(root_dir)\n", + "with MAGICC7(root_dir=root_dir) as magicc:\n", + " # binary readers aren't yet ready and we can't do this through\n", + " # the run method just yet\n", + " magicc.set_output_variables(\n", + " write_ascii=False,\n", + " write_binary=True,\n", + " keydata_2=True,\n", + " emissions=False,\n", + " parameters=True,\n", + " )\n", + " # for i, name in enumerate(scenario_names):\n", + " # # note that we obviously don't need magicc_version as an argument\n", + " # # here as it is assigned automatically\n", + " # print(\"running {}\".format(name))\n", + " # scen = getattr(scenarios, name)\n", + " # scen_results = magicc.run(scen)\n", + " # if i != 0:\n", + " # results = results.append(scen_results)\n", + " # else:\n", + " # results = scen_results\n", + " results = magicc.run(scenarios.rcps)\n", + "\n", + "results.filter(variable=\"Surface Temperature\", region=\"World\").line_plot(\n", + " x=\"time\"\n", + ");" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Comparing MAGICC6 and MAGICC7\n", + "\n", + "Finally, we show how to easily compare MAGICC6 and MAGICC7. \n", + "\n", + "**Note** I've got strange settings in my local MAGICC7 folder so don't read anything into the plots." + ] + }, + { + "cell_type": "code", + "execution_count": 17, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ + "MAGICC6\n", + "running rcp26\n", + "running rcp45\n", + "running rcp60\n", + "running rcp85\n", + "MAGICC7\n", "running rcp26\n" ] }, @@ -495,83 +582,6 @@ "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/core.py:436: UserWarning: magicc logged a ERROR message. Check the 'stderr' key of the result's `metadata` attribute.\n", " warnings.warn(\n" ] - }, - { - "data": { - "image/png": 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# NBVAL_SKIP\n", - "exe_path = os.environ.get(\"MAGICC_EXECUTABLE_7\", \"../../magicc/run/magicc\")\n", - "root_dir = os.path.dirname(os.path.dirname(exe_path))\n", - "with MAGICC7(root_dir=root_dir) as magicc:\n", - " # binary readers aren't yet ready and we can't do this through\n", - " # the run method just yet\n", - " magicc.set_output_variables(\n", - " write_ascii=False,\n", - " write_binary=True,\n", - " keydata_2=True,\n", - " emissions=False,\n", - " parameters=True,\n", - " )\n", - " for i, name in enumerate(scenario_names):\n", - " # note that we obviously don't need magicc_version as an argument\n", - " # here as it is assigned automatically\n", - " print(\"running {}\".format(name))\n", - " scen = getattr(scenarios, name)\n", - " scen_results = magicc.run(scen)\n", - " if i != 0:\n", - " results = results.append(scen_results)\n", - " else:\n", - " results = scen_results\n", - "\n", - "results.filter(variable=\"Surface Temperature\", region=\"World\").line_plot(\n", - " x=\"time\"\n", - ");" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Comparing MAGICC6 and MAGICC7\n", - "\n", - "Finally, we show how to easily compare MAGICC6 and MAGICC7. \n", - "\n", - "**Note** I've got strange settings in my local MAGICC7 folder so don't read anything into the plots." - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "MAGICC6\n", - "running rcp26\n" - ] - }, - { - "ename": "WineNotInstalledError", - "evalue": "Wine is not installed but is required to run `.exe` binaries", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mWineNotInstalledError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[10], line 19\u001b[0m\n\u001b[1;32m 17\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mrunning \u001b[39m\u001b[38;5;132;01m{}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;241m.\u001b[39mformat(name))\n\u001b[1;32m 18\u001b[0m scen \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mgetattr\u001b[39m(scenarios, name)\n\u001b[0;32m---> 19\u001b[0m scen_results \u001b[38;5;241m=\u001b[39m \u001b[43mmagicc\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrun\u001b[49m\u001b[43m(\u001b[49m\u001b[43mscen\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 20\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m i \u001b[38;5;241m!=\u001b[39m \u001b[38;5;241m0\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m j \u001b[38;5;241m!=\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[1;32m 21\u001b[0m results \u001b[38;5;241m=\u001b[39m results\u001b[38;5;241m.\u001b[39mappend(scen_results)\n", - "File \u001b[0;32m~/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/core.py:356\u001b[0m, in \u001b[0;36mMAGICCBase.run\u001b[0;34m(self, scenario, only, debug, **kwargs)\u001b[0m\n\u001b[1;32m 354\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m IS_WINDOWS \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mbinary_name\u001b[38;5;241m.\u001b[39mendswith(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m.exe\u001b[39m\u001b[38;5;124m\"\u001b[39m): \u001b[38;5;66;03m# pragma: no cover\u001b[39;00m\n\u001b[1;32m 355\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m _wine_installed:\n\u001b[0;32m--> 356\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m WineNotInstalledError(\n\u001b[1;32m 357\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mWine is not installed but is required to run `.exe` binaries\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 358\u001b[0m )\n\u001b[1;32m 359\u001b[0m command\u001b[38;5;241m.\u001b[39minsert(\u001b[38;5;241m0\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mwine\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 361\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n", - "\u001b[0;31mWineNotInstalledError\u001b[0m: Wine is not installed but is required to run `.exe` binaries" - ] } ], "source": [ @@ -616,11 +626,243 @@ "Option 1 would add methods to OpenSCMDataFrame (or IamDataFrame)" ] }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Collecting pyam-iamc\n", + " Downloading pyam_iamc-3.0.0-py3-none-any.whl.metadata (9.3 kB)\n", + "Requirement already satisfied: Pint>=0.13 in /Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages (from pyam-iamc) (0.24.4)\n", + "Requirement already satisfied: PyYAML>=6.0.1 in 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python-dotenv, PyJWT, pydantic-core, psycopg-binary, psycopg, mypy_extensions, mdurl, Mako, et-xmlfile, click, annotated-types, typing_inspect, starlette, SQLAlchemy-Utils, pydantic, openpyxl, mypy, markdown-it-py, alembic, rich, pydantic-settings, pandera, iam-units, fastapi, typer, ixmp4, pyam-iamc\n", + "Successfully installed Mako-1.3.9 PyJWT-2.10.1 SQLAlchemy-2.0.39 SQLAlchemy-Utils-0.41.2 XlsxWriter-3.2.2 alembic-1.15.1 annotated-types-0.7.0 click-8.1.8 et-xmlfile-2.0.0 fastapi-0.115.11 iam-units-2023.9.12 ixmp4-0.9.8 markdown-it-py-3.0.0 mdurl-0.1.2 mypy-1.15.0 mypy_extensions-1.0.0 openpyxl-3.1.5 pandera-0.23.1 psycopg-3.2.6 psycopg-binary-3.2.6 pyam-iamc-3.0.0 pydantic-2.10.6 pydantic-core-2.27.2 pydantic-settings-2.8.1 python-dotenv-1.0.1 rich-13.9.4 shellingham-1.5.4 starlette-0.46.1 toml-0.10.2 typeguard-4.4.2 typer-0.15.2 typing_inspect-0.9.0 wquantiles-0.6\n" + ] + } + ], + "source": [ + "!pip install pyam-iamc" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Collecting pycollocation\n", + " Downloading pycollocation-0.6.0-alpha.tar.gz (13 kB)\n", + " Installing build dependencies ... \u001b[?25ldone\n", + "\u001b[?25h Getting requirements to build wheel ... \u001b[?25ldone\n", + "\u001b[?25h Preparing metadata (pyproject.toml) ... \u001b[?25ldone\n", + "\u001b[?25hBuilding wheels for collected packages: pycollocation\n", + " Building wheel for pycollocation (pyproject.toml) ... \u001b[?25ldone\n", + "\u001b[?25h Created wheel for pycollocation: filename=pycollocation-0.6.0a0-py2.py3-none-any.whl size=19874 sha256=ec963cfc36bfb4bc3d497bd3823cf52c77d5cd847a54fcb1e6ffee13089e739a\n", + " Stored in directory: /Users/seangtkelley/Library/Caches/pip/wheels/a5/06/0f/23d248c12a8e4bec1bad530b3bf75daaf72a6ee90ef8aef806\n", + "Successfully built pycollocation\n", + "Installing collected packages: pycollocation\n", + "Successfully installed pycollocation-0.6.0a0\n" + ] + } + ], + "source": [ + "!pip install pycollocation" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Collecting sympy\n", + " Using cached sympy-1.13.3-py3-none-any.whl.metadata (12 kB)\n", + "Collecting mpmath<1.4,>=1.1.0 (from sympy)\n", + " Using cached mpmath-1.3.0-py3-none-any.whl.metadata (8.6 kB)\n", + "Using cached sympy-1.13.3-py3-none-any.whl (6.2 MB)\n", + "Using cached mpmath-1.3.0-py3-none-any.whl (536 kB)\n", + "Installing collected packages: mpmath, sympy\n", + "Successfully installed mpmath-1.3.0 sympy-1.13.3\n" + ] + } + ], + "source": [ + "!pip install sympy" + ] + }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], + "source": [ + "# TODO: remake conda environment clean in case this is importing the wrong pyam\n", + "import pyam" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "ename": "ImportError", + "evalue": "cannot import name 'reshape_line_plot' from 'pyam.plotting' (/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pyam/plotting.py)", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mImportError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[32], line 3\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;66;03m# NBVAL_SKIP\u001b[39;00m\n\u001b[1;32m 2\u001b[0m \u001b[38;5;66;03m# TODO: move into OpenSCMDataFrame or pyam\u001b[39;00m\n\u001b[0;32m----> 3\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mpyam\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mplotting\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m reshape_line_plot\n\u001b[1;32m 6\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mget_reference_period_mean\u001b[39m(df, reference_period, x\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124myear\u001b[39m\u001b[38;5;124m\"\u001b[39m, y\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mvalue\u001b[39m\u001b[38;5;124m\"\u001b[39m):\n\u001b[1;32m 7\u001b[0m ref_period_start, ref_period_end \u001b[38;5;241m=\u001b[39m reference_period\n", + "\u001b[0;31mImportError\u001b[0m: cannot import name 'reshape_line_plot' from 'pyam.plotting' (/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pyam/plotting.py)" + ] + } + ], "source": [ "# NBVAL_SKIP\n", "# TODO: move into OpenSCMDataFrame or pyam\n", @@ -720,18 +962,19 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 29, "metadata": {}, "outputs": [ { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" + "ename": "NameError", + "evalue": "name 'line_plot' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[29], line 4\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;66;03m# NBVAL_SKIP\u001b[39;00m\n\u001b[1;32m 2\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mdatetime\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m datetime\n\u001b[0;32m----> 4\u001b[0m \u001b[43mline_plot\u001b[49m(\n\u001b[1;32m 5\u001b[0m results\u001b[38;5;241m.\u001b[39mfilter(variable\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mSurface Temperature\u001b[39m\u001b[38;5;124m\"\u001b[39m, region\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mWorld\u001b[39m\u001b[38;5;124m\"\u001b[39m),\n\u001b[1;32m 6\u001b[0m (datetime(\u001b[38;5;241m1850\u001b[39m, \u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m1\u001b[39m), datetime(\u001b[38;5;241m1900\u001b[39m, \u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m1\u001b[39m)),\n\u001b[1;32m 7\u001b[0m highlight_kwargs\u001b[38;5;241m=\u001b[39m{\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcolor\u001b[39m\u001b[38;5;124m\"\u001b[39m: \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mgrey\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124malpha\u001b[39m\u001b[38;5;124m\"\u001b[39m: \u001b[38;5;241m0.5\u001b[39m},\n\u001b[1;32m 8\u001b[0m color\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mscenario\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m 9\u001b[0m marker\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mclimate_model\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m 10\u001b[0m )\n", + "\u001b[0;31mNameError\u001b[0m: name 'line_plot' is not defined" + ] } ], "source": [ @@ -756,7 +999,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 30, "metadata": {}, "outputs": [], "source": [ @@ -766,18 +1009,19 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 33, "metadata": {}, "outputs": [ { - "data": { - "image/png": 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" - ] - }, - "metadata": {}, - "output_type": "display_data" + "ename": "NameError", + "evalue": "name 'adjust_to_baseline' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[33], line 4\u001b[0m\n\u001b[1;32m 2\u001b[0m tempdf \u001b[38;5;241m=\u001b[39m results\u001b[38;5;241m.\u001b[39mfilter(variable\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mSurface Temperature\u001b[39m\u001b[38;5;124m\"\u001b[39m, region\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mWorld\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 3\u001b[0m ref_period \u001b[38;5;241m=\u001b[39m (datetime(\u001b[38;5;241m1850\u001b[39m, \u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m1\u001b[39m), datetime(\u001b[38;5;241m1900\u001b[39m, \u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m1\u001b[39m))\n\u001b[0;32m----> 4\u001b[0m bdf \u001b[38;5;241m=\u001b[39m \u001b[43madjust_to_baseline\u001b[49m(tempdf, ref_period,)\n\u001b[1;32m 5\u001b[0m fg \u001b[38;5;241m=\u001b[39m sns\u001b[38;5;241m.\u001b[39mrelplot(\n\u001b[1;32m 6\u001b[0m x\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtime\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m 7\u001b[0m y\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mvalue\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 11\u001b[0m data\u001b[38;5;241m=\u001b[39mbdf\u001b[38;5;241m.\u001b[39mdata,\n\u001b[1;32m 12\u001b[0m )\n\u001b[1;32m 13\u001b[0m ax \u001b[38;5;241m=\u001b[39m fg\u001b[38;5;241m.\u001b[39maxes[\u001b[38;5;241m0\u001b[39m][\u001b[38;5;241m0\u001b[39m]\n", + "\u001b[0;31mNameError\u001b[0m: name 'adjust_to_baseline' is not defined" + ] } ], "source": [ @@ -797,6 +1041,13 @@ "highlight_reference_period(ax, ref_period, **{\"color\": \"grey\", \"alpha\": 0.5})\n", "add_ylabel(ax, bdf[\"variable\"].iloc[0], bdf[\"unit\"].iloc[0], ref_period);" ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { From 99b14e37c7940d89592afd5dd766f181309bf6ad Mon Sep 17 00:00:00 2001 From: Sean Kelley Date: Fri, 4 Apr 2025 16:21:36 +0100 Subject: [PATCH 5/6] still battling this notebook --- notebooks/MAGICC7.ipynb | 331 ++++++++++++++++++++++------------------ 1 file changed, 184 insertions(+), 147 deletions(-) diff --git a/notebooks/MAGICC7.ipynb b/notebooks/MAGICC7.ipynb index fe473c1a..4c0b543c 100644 --- a/notebooks/MAGICC7.ipynb +++ b/notebooks/MAGICC7.ipynb @@ -20,7 +20,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/scmdata/database/_database.py:9: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/scmdata/database/_database.py:9: TqdmExperimentalWarning: Using `tqdm.autonotebook.tqdm` in notebook mode. Use `tqdm.tqdm` instead to force console mode (e.g. in jupyter console)\n", " import tqdm.autonotebook as tqdman\n" ] } @@ -29,7 +29,6 @@ "# NBVAL_IGNORE_OUTPUT\n", "import os\n", "\n", - "import pandas as pd\n", "import pymagicc\n", "from pymagicc import MAGICC6, MAGICC7\n", "from pymagicc.io import MAGICCData\n", @@ -177,11 +176,11 @@ "name": "stderr", "output_type": "stream", "text": [ - "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", " warnings.warn(warn_msg)\n", - "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", " warnings.warn(warn_msg)\n", - "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/core.py:436: UserWarning: magicc logged a ERROR message. Check the 'stderr' key of the result's `metadata` attribute.\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pymagicc/core.py:436: UserWarning: magicc logged a ERROR message. Check the 'stderr' key of the result's `metadata` attribute.\n", " warnings.warn(\n" ] }, @@ -196,11 +195,11 @@ "name": "stderr", "output_type": "stream", "text": [ - "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", " warnings.warn(warn_msg)\n", - "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", " warnings.warn(warn_msg)\n", - "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/core.py:436: UserWarning: magicc logged a ERROR message. Check the 'stderr' key of the result's `metadata` attribute.\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pymagicc/core.py:436: UserWarning: magicc logged a ERROR message. Check the 'stderr' key of the result's `metadata` attribute.\n", " warnings.warn(\n" ] }, @@ -215,11 +214,11 @@ "name": "stderr", "output_type": "stream", "text": [ - "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", " warnings.warn(warn_msg)\n", - "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", " warnings.warn(warn_msg)\n", - "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/core.py:436: UserWarning: magicc logged a ERROR message. Check the 'stderr' key of the result's `metadata` attribute.\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pymagicc/core.py:436: UserWarning: magicc logged a ERROR message. Check the 'stderr' key of the result's `metadata` attribute.\n", " warnings.warn(\n" ] }, @@ -234,11 +233,11 @@ "name": "stderr", "output_type": "stream", "text": [ - "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", " warnings.warn(warn_msg)\n", - "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", " warnings.warn(warn_msg)\n", - "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/core.py:436: UserWarning: magicc logged a ERROR message. Check the 'stderr' key of the result's `metadata` attribute.\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pymagicc/core.py:436: UserWarning: magicc logged a ERROR message. Check the 'stderr' key of the result's `metadata` attribute.\n", " warnings.warn(\n" ] } @@ -257,12 +256,25 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 11, "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/scmdata/run.py:905: FutureWarning: Dtype inference on a pandas object (Series, Index, ExtensionArray) is deprecated. The Index constructor will keep the original dtype in the future. Call `infer_objects` on the result to get the old behavior.\n", + " df.columns = pd.Index(columns, name=\"time\")\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/scmdata/plotting.py:81: FutureWarning: \n", + "\n", + "The `ci` parameter is deprecated. Use `errorbar='sd'` for the same effect.\n", + "\n", + " ax = sns.lineplot(data=plt_df, **kwargs)\n" + ] + }, { "data": { - "image/png": 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", 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"text/plain": [ "
" ] @@ -275,7 +287,8 @@ "# NBVAL_SKIP\n", "results.filter(variable=\"Surface Temperature\", region=\"World\").line_plot(\n", " x=\"time\"\n", - ");" + ");\n", + "plt.show()" ] }, { @@ -289,7 +302,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 10, "metadata": {}, "outputs": [ { @@ -303,15 +316,15 @@ "name": "stderr", "output_type": "stream", "text": [ - "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", " warnings.warn(warn_msg)\n", - "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", " warnings.warn(warn_msg)\n", - "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/core.py:436: UserWarning: magicc logged a ERROR message. Check the 'stderr' key of the result's `metadata` attribute.\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pymagicc/core.py:436: UserWarning: magicc logged a ERROR message. Check the 'stderr' key of the result's `metadata` attribute.\n", " warnings.warn(\n", - "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", " warnings.warn(warn_msg)\n", - "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", " warnings.warn(warn_msg)\n" ] }, @@ -326,11 +339,11 @@ "name": "stderr", "output_type": "stream", "text": [ - "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/core.py:436: UserWarning: magicc logged a ERROR message. Check the 'stderr' key of the result's `metadata` attribute.\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pymagicc/core.py:436: UserWarning: magicc logged a ERROR message. Check the 'stderr' key of the result's `metadata` attribute.\n", " warnings.warn(\n", - "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", " warnings.warn(warn_msg)\n", - "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", " warnings.warn(warn_msg)\n" ] }, @@ -345,11 +358,11 @@ "name": "stderr", "output_type": "stream", "text": [ - "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/core.py:436: UserWarning: magicc logged a ERROR message. Check the 'stderr' key of the result's `metadata` attribute.\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pymagicc/core.py:436: UserWarning: magicc logged a ERROR message. Check the 'stderr' key of the result's `metadata` attribute.\n", " warnings.warn(\n", - "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", " warnings.warn(warn_msg)\n", - "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", " warnings.warn(warn_msg)\n" ] }, @@ -364,13 +377,20 @@ "name": "stderr", "output_type": "stream", "text": [ - "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/core.py:436: UserWarning: magicc logged a ERROR message. Check the 'stderr' key of the result's `metadata` attribute.\n", - " warnings.warn(\n" + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pymagicc/core.py:436: UserWarning: magicc logged a ERROR message. Check the 'stderr' key of the result's `metadata` attribute.\n", + " warnings.warn(\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/scmdata/run.py:905: FutureWarning: Dtype inference on a pandas object (Series, Index, ExtensionArray) is deprecated. The Index constructor will keep the original dtype in the future. Call `infer_objects` on the result to get the old behavior.\n", + " df.columns = pd.Index(columns, name=\"time\")\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/scmdata/plotting.py:81: FutureWarning: \n", + "\n", + "The `ci` parameter is deprecated. Use `errorbar='sd'` for the same effect.\n", + "\n", + " ax = sns.lineplot(data=plt_df, **kwargs)\n" ] }, { "data": { - "image/png": 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Lra2tWrNmjSRpzpw5io+PtznRwBdos1S+xqPTp4IyDGnarDgNHRFldyx8iO1l4p///GdNnz5daWlpHbsj7dq1S8uWLbM7GgAAAAAAiFBr1qyR3+/X4MGDNWXKFLvjDHhej6n1pS1qaTLldEkFc+OVOaTzlamwl+1lYmNjo371q1+pvr5ecXFxGj58uJYtW8ZfVAAAAAAAYIuqqirt2rVLkrRo0SI5HA6bEw1sDbVBbVjlkd9nKSbW0KwF8RqUYntlhS7Y/pu566677I4AAAAAAAAgqf3WaytXrpQkjRs3TkOGDLE50cBWebxNm9d5ZYakpGSHZi1IUGwc5W04s71MBAAAAAAACBe7du3SqVOn5Ha7NW/ePLvjDFiWZengPr92b/NJkjKyXSqYGy+X27A5GT4KZSIAAAAAAIAkn8/Hpit9wDQt7dzcqiMH2iRJI0ZFaeL0WDkcFIn9AWUiAAAAAACApLVr18rn8yk1NZW9HHpJIGBp0xqPaqqCkqSJ02KUNyZahkGR2F9QJgIAAAAAgIhXXV2tHTt2SGrfdMXpdNqcaOBp9bbv2NzcaMrplGbMjVdWDjs29zeUiQAAAAAAIKJZlqWSkhJJ0pgxYzR06FB7Aw1ADXVBbShr37E5OqZ9x+bkVGqp/ojfGgAAAAAAiGh79+5VVVWV3G635s+fb3ecAafqRECb13oUCkmJg9p3bI6LZ8fm/ooyEQAAAAAARCy/369Vq1ZJkmbNmqWEhASbEw0sh/b7tXNrq2RJ6VkuFRTFy82Ozf0aZSIAAAAAAIhY69evV2trq1JSUjRt2jS74wwYlmlp19ZWHapo37E5d2SUJhewY/NAQJkIAAAAAAAiUm1trbZt2yZJKi4uZtOVHhIMWtq81qNTJ9t3bB4/JUb549ixeaCgTAQAAAAAABHHsiyVlZXJsizl5+crNzfX7kgDgq/V1IYyjxrrQ3I4pOlz4jRkWJTdsdCDKBMBAAAAAEDEOXLkiI4ePSqHw6F58+bZHWdA8LSEtHZFi1q9lqKiDRXOj1fqYKqngYbfKAAAAAAAiCihUEhlZWWSpGnTpik5OdneQANAS3N7kehrtRSf4NDs4njFJ7BsfCCiTAQAAAAAABFl586dqq+vV0xMjAoLC+2O0+81N7UXiX6fpYQkh4ouSVB0jMPuWOgllIkAAAAAACBi+P1+rV+/XpI0Z84cRUdH25yof2tqCGltSYva/JYSBzk0dxFF4kBHmQgAAAAAACLGhg0b5PP5lJqaqkmTJtkdp19rrA9p3cr2IjEp2am5i+IVFU2RONBRJgIAAAAAgIjQ0NCgbdu2SZLmz58vh4Pi62I11AW1bqVHgTZLg1KcmrMoXlFRfJ6RgDIRAAAAAABEhNWrV8s0TeXm5mrEiBF2x+m3GuqCWlfiUSBgKTnVqTnF8XJTJEYMykQAAAAAADDgHT9+XAcOHJBhGFqwYIHdcfqt5sZQ+4zEgKWUwU7NXpggt9uwOxb6EGUiAAAAAAAY0CzLUllZmSRp0qRJSktLszlR/9TqNbVuZYsCbZZS0pyaszBBLorEiMMcVAAAAAAAMKDt3btXNTU1ioqK0uzZs+2O0y+1+duLRF+rpYREh2YtiKdIjFCUiQAAAAAAYMAKBAJas2aNJKmwsFBxcXE2J+p/gkFLG1Z51NJkKibW0OziBHZtjmD85gEAAAAAwIC1adMmeTweJSUlaerUqXbH6XdM09LmtR7Vnw7J7TY0e2GC4uKpkyIZv30AAAAAADAgNTc3a/PmzZKkefPmyeVi64gLYVmWtm/06tTJoBxOqXBBvJKSnXbHgs0oEwEAAAAAwIC0du1aBYNBDRkyRKNGjbI7Tr+zcU2Njh5qkwypYG680tIpY8FuzgAAAAAAYAA6deqU9u7dK0lasGCBDIPNQi7EoQq/dmzySpKmFMQqK8dtcyKEC2YmAgAAAACAAcWyLJWVlUmSxo0bp8zMTJsT9S/VlQHt3NxeJI6dFKPh+dE2J0I4YWYiAAAAAAAYUN59912dPHlSLpdLc+fOtTtOv9LcGNKmtR5ZljRmwiCNmciMTpyNmYkAAAAAAGDACAaDWr16tSRpxowZSkxMtDlR/+H3mdpQ5lEwIKWmu7TwsmyWh+MclIkAAAAAAGDA2LZtm5qamhQfH6+CggK74/QboZCl8tUeeT2m4uIdKpwfL6eL2gjnYlQAAAAAAIABwev1auPGjZKkuXPnyu1m05DusCxL2zZ4VXc6JJdbmrUgXtHRVEboHCMDAAAAAAAMCOvXr1dbW5vS09M1fvx4u+P0G/t3+XTiaECGIc0silfiIKfdkRDGKBMBAAAAAEC/V1tbq507d0qSFixYwL3+uunYoTbt3+WXJE2ZGav0LGZz4vwoEwEAAAAAQL9mWZZKS0tlWZby8/M1dOhQuyP1C6erA9pW7pUkjRofrdyR0TYnCm+mZdkdISy47A4AAAAAAADwcRw8eFDHjh2Tw+HQvHnz7I7TL7Q0hVS+2ivLlIYMc2vc5Bi7I4WlWm9Aa481a+3RZmUkuPXNuUPsjmQ7ykQAAAAAANBvBYNBlZWVSZJmzJih5ORkewP1A36fqfWlHgXaLKWkOTVtVhzLwt8TNC1VnG7VtlNebT7Zon2nfR3Pxdf7FZxtyeWI7M+KMhEAAAAAAPRbmzZtUlNTkxISElRYWGh3nLAXClnauMojr8dUXLxDhfPj5XRFZjlmWZaqPQG9W+fTgVqfDtT5tPe0T76gedZx4wbHqig3UXOGJUR8kShRJgIAAAAAgH6qqalJ5eXlkqT58+fL7WbzkPMxTUub13pVXxuS221o1sJ4RcdExnYapmWpsjmgQ/XtpeGBOp8O1vnU3Gaec2xitFNTMuM0JStOhTkJSotjXH0QZSIAAAAAAOiXysrKFAqFlJOTo9GjR9sdJ6xZpqUt672qOhGQwyHNnBenxCSn3bF6Rci0dKjer4P1Ph2q9+lgnV+HG3zyBc/dQMXlkIYnx2hUaoxGpkZrTFqsRqREy8Gy7y5RJgIAAAAAgH7n8OHDOnDggAzDUHFxMff8Ow/LsrR1o1cnjwZkOKSZ8+I1OHNgzbY73ujXxhMt2nHKq93VrWoNnjvjMMppaERytPJSYjQqLUb5qTHKHRQtt5OxcyEoEwEAAAAAQL8SCAS0YsUKSdK0adM0ePBgmxOFL8uytL28VccPB2QYUsHcOGUOGRhF4mlvQGWHm1R6uEkH6/1nPRcf5dCo1BjlpcRoZEq08lJjlJMYJSf3PPzYKBMBAAAAAEC/sn79ejU3NysxMVGzZ8+2O07YsixLu7a06ujBNsmQps+JU/bQKLtjfSyWZWl3Tate2luv9cebZb63ctlpSFOz4jUtO16TM+M0PDma4rCXUCYCAAAAAIB+o6amRlu2bJEkLVq0SFFR/bsc6y2WZWnPdp8OVbRJkqYVxiknt/9+Vt5ASKuONOu1inodqHt/FuKE9FgV5yWpKDdJSdED8x6Q4YYyEQAAAAAA9Aumaeqdd96RZVnKz89XXl6e3ZHC1v5dPh3Y2166TZkZq2F5/a9ItCxL+2t9euPdBq060tSxgUqU09CivCR9cmyqhidH25wy8lAmAgAAAACAfmHHjh06deqU3G63iouL7Y4Ttip2+7R/V3uROHF6rIbn96/CrckXVMnhJr35boOONrZ1PJ6TFKXL8wfp8pGDlBRDpWUXPnkAAAAAABD2GhsbtXr1aknSvHnzlJCQYHOi8HRgn097d/gkSeOnxmjkmP5RJFY1t2njiRZtON6iXdVehd67F2KU09D84YlanJ+s8emx7NodBigTAQAAAABAWLMsS2+99ZaCwaBycnI0efJkuyOFpUMVfu3e2l4kjp0Uo1HjYmxO1DnLsnSqJaDdNa3aecqrXdVeVbUEzjomPzVai/OTtXBEkuKjuBdiOKFMBAAAAAAAYW3Hjh06ceKEXC6XLrvsMmandeLIAb92bm6VJI0aH63RE8JjRqJlWTrtDerdWp/erfPp3dpWvVvnU0ubedZxDkOakBGnWTkJmjU0QdmJ/e8ej5GCMhEAAAAAAIStpqamjuXNRUVFSk5OtjdQGDp2uE3by9uLxJFjojVucoxthWtDa1D7alv1bq1PB+p8erfWp0Z/6JzjXA5DI1OiNSkzTpMy4jQ+I1ZxbmYg9geUiQAAAAAAICxZlqW3335bgUBAQ4YM0dSpU+2OFHZOHm3T1g1eSdKIUVGaMK1vi0RvIKRdp1q1rcqj7VVeHWn0n3OM05CGJ0drVFqMRqXGalRajHIHRcvtZIZpf0SZCAAAAAAAwtKuXbt07NgxOZ1OXX755Sxv/pDK423avM4rWVJuXpQmzej9DUosy1JFrU8bT7Roe5VX+2tbZVpnH5M7KEqj0mI1KjVGo9JilJcSrSino1dzoe9QJgIAAAAAgLDT3NyssrIySdLcuXNZ3vwhp04GtGmtV5Yl5Qx3a8rM3isSLcvSwXq/yg43afXRJlV7gmc9n5Xg1tSseE3NitPkzDglxVA3DWT8dgEAAAAAQFixLEvvvPOOAoGAsrKyNG3aNLsjhZWaUwGVr/bIMqXsYW5NmxUnw9HzRWJDa0Av7a3Tm+826HDD+8uXY1yGCoYkaHp2vKZkxSkzgc1SIgllIgAAAAAACCt79uzRkSNHOpY3OxwskT2jtjqoDWUemaaUmePSjDlxcvRwkVjZ3Ka/7a7TikN7FQi1r2F2OwzNGpqg+cMTVTAkQdEufieRijIRAAAAAACEjZaWFpWWlkqSZs+erdTUVJsThY/600GtL2uRGZLSs1wqmBvfo0Xi4XqfXthVp1VHmzrug5iXEq3F+ckqHpGkhGh2WwZlIgAAAAAACBNnlje3tbUpMzNTM2bMsDtS2GioC2pdaYtCQWlwpkuF8+Ll7KHdkPedbtXzu2q14XhLx2Mzh8TrX4vHKtPZKsuyzvNqRBrKRAAAAAAAEBb27dunw4cPy+FwsLz5A5oaQlq30qNgQEpNd6pwfrycro9XJFqWpR2nvPr/dtVqe5VXkmRIKspN1I0T05SfFqvs7GRVVrb2wDvAQEKZCAAAAAAAbOfxeLRy5UpJ7cub09LSbE4UHpqbQlpb0qJAm6WUNKdmL0iQ62MUiaZlqfxEi57fVat9p32SJKchLcobpE9PTNXQpOieio4BijIRAAAAAADYyrIsrVixQn6/X+np6Sxvfk9Lc0hrV7SozW9pUIpTsxfGy+W+uCKxxR/S2wcb9VpFvU42ByRJUU5Di/MH6brxacpIcPdkdAxglIkAAAAAAMBWFRUVOnjwoBwOhxYvXiynk40+vC3tRaLfZylxkENziuPljrrwZd/v1vr0akW9Sg83qe29nZljXQ5dOSZZ145LVXIs1RAuDCMGAAAAAADYxuv1qqSkRJJUWFiowYMH2xsoDLR6Ta0t8cjXaikh0aG5ixIUFd39ItEfNLX6aLNe2V+vilpfx+MjkqN15ZhkFY8YpFg396PExaFMBAAAAAAAtikpKZHP59PgwYM1c+ZMu+PYzu8ztXZFi7weU/EJDs29JEHRMd0r/iqb2/RaRYPePtCg5jZTkuRyGCrKTdRVo5M1Lj1WhtEzO0AjclEmAgAAAAAAW1RUVOjdd9+VYRi6/PLLI355cyBgad1KjzwtpmLjDM1ZlKCY2PMXiaZlactJj17eX69NJz0dj2fEu/SJ0Sm6PH+QkmOof9BzGE0AAAAAAKDPtba2dixvnjlzpjIyMuwNZLNQyFL5Ko+aGkKKim4vEuPiuy4SvYGQ3jnYqJf3vb+hiiFpxpB4XTk6RTOGxMvpYBYieh5lIgAAAAAA6HOlpaVqbW1VamqqCgsL7Y5jK8u0tGWdV6erg3K6pNkL45WQ2PkszRNNbXp5f73ePtAoX7B9KXOc26HL8gfp6jEpyk6M6svoiECUiQAAAAAAoE8dOXJE+/btk2EYWrx4sVyuyK4ndm3zqfJ4QA6HVDg/XsmpZ38elmVpd02rXtxdp40nWjoeH5oUpU+OTdGiPDZUQd+J7L+tAAAAAACgTwUCAa1YsUKSNHXqVGVmZtqcyF5HDvh1aL9fkjRtdpzSM90dz4VMS+uPN+vF3XXa/96uzIakmTkJ+uTYFE3NimNDFfQ5ykQAAAAAANBnNm7cqKamJiUkJGjOnDl2x7HV6VMB7djUKkkaOylGObntS5T9QVPvHGzU/+6tU+V790N0OwxdOnKQrh2fqpwkljLDPpSJAAAAAACgT9TW1mrz5s2SpOLiYkVFRW4p5mkOqXyNV5Yl5eS6NXpCtIKmpTfebdBfd5xWoy8kSUqMcujKMSm6emwKuzIjLDAKAQAAAABAr7MsS++8845M09TIkSOVn59vdyTbBNpMbSjzKNBmKTnVqSkzY7X2WLOe2VrTsTNzRrxb145P0eX5yYpxcT9EhA/KRAAAAAAA0Ov27NmjyspKud1uFRcX2x3HNqZpadNar1qaTcXEGsqdGqUfrTyu7ae8kqRBMU7dPHmwrhiVLJeD+yEi/FAmAgAAAACAXuX3+7V69WpJ0qxZs5SYmGhzIvvs3tqqmqqgHE6pMTug77xdpYBpKcpp6Lrxqbp+Qqri3E67YwJdokwEAAAAAAC9av369WptbVVKSoqmTZtmdxzbHDng16GKNknSVneLNuxvkSRNy4rTnbOylJ0YufeQRP9BmQgAAAAAAHpNbW2ttm/fLklauHChnM7InHX3wZ2bt1gt2tTSoqRop75ckKHiEUkyDJY0o3+gTAQAAAAAAL3CsiyVlpZ2bLoyfPhwuyPZwtMc0sbVHlmW9K7Zqk1mi2Zkx+vf5mYrJZZqBv0LIxYAAAAAAPSKAwcO6NixY3I6nVqwYIHdcWwRaDNVuqJZwYBUbbVprZr05YIMfXJsihzMRkQ/RJkIAAAAAAB6XCAQUFlZmSSpoKBAgwYNsjlR3/MHTP3z9QZFtTrUYoW0K86jRxYMV15KjN3RgItGmQgAAAAAAHrcpk2b1NzcrMTERBUUFNgdp88dqmvVqyWNGhaIUcAy5c0J6uG5wxXtctgdDfhYKBMBAAAAAECPampq0qZNmyRJ8+fPl9vttjlR3wmZll7cU6ft2z0qdCTJkqW0cS59elqq3dGAHkGZCAAAAAAAelRZWZlCoZCGDh2qUaNG2R2nzxys8+k3G6oUqJMucyZLkkZOjNakSXH2BgN6EGUiAAAAAADoMUePHtWBAwdkGIaKi4tlRMAmI95ASH/edlov769XuuXWVa72WYgjRkdp4sRYm9MBPYsyEQAAAAAA9IhQKKSVK1dKkqZOnaq0tDSbE/Uuy7K08nCTntpSo/rWoFLl0lXuVDktQ1k5bk2aFhsRZSoiC2UiAAAAAADoEdu2bVN9fb1iY2M1e/Zsu+P0qoraVv13ebX2nW6VJI2Jj9EiM1lmQEpJc2r6nDgZDopEDDyUiQAAAAAA4GPzeDxav369JKmoqEjR0dE2J+odDb6gntlao7cPNMqSFOMydNPowUo46lJbwNKgFKdmL0yQy0WRiIGJMhEAAAAAAHxsa9asUSAQUGZmpiZMmGB3nB4XNC29sr9ef91+Wp6AKUlaNCJJN41J0+61Pvn8lpKSHZpTHC93FEUiBi7KRAAAAAAA8LFUVlZqz549kjQgN13ZWunRf5ef0vGmNklSfmq0vlKQqaEx0VpX0iJfq6WEJIfmFCcoKtphc1qgd1EmAgAAAACAi2aaZsemKxMmTFBWVpbNiXrOqZY2/WFztdYda5EkJUU7deu0dF02cpA8TabWvNOiNr+lxCSH5ixKUHQMRSIGvl4rE03TlMPBXyIAAAAAAAayXbt2qbq6WlFRUSoqKrI7To/wB029sLtWL+6uU1vIksOQrh6TopunDFZClFMNdUGtW+lRoM1SUrJTcxbFK5oZiYgQFzTSd+zY0a3jTNPUf/3Xf11MHgAAAAAA0E94PB6tXr1akjRnzhzFxcXZnOjjsSxLq4806asvHdSzO2rVFrI0JTNOv7gqT7fPzFRClFN1p4NaW9KiQJul5FSnii6hSERkuaCZiT/96U/1/e9/X6NGjerymDNF4pkdnAAAAAAAwMBUVlamtrY2ZWRkaMqUKXbH+VhOtbTp8fVV2lrllSSlx7l0W0GG5g5L7LgH5OnqoDaUtSgUlFLTnZq9IEEu98C6PyTwUS6oOs/OztbDDz+s48ePd/q8aZr6xS9+ofXr1+tzn/tcjwQEAAAAAADh5/Dhw9q/f78Mw9Cll17ab291ZlrtuzT/28uHtbXKqyinoZsnp+nXnxqpotykjiKxuiqg9aXtReLgTJdmL6RIRGS6oL/py5YtU1JSkn7yk5+opqbmrOcsy9Ivf/lLrVu3Tp/97Gd13XXX9WROAAAAAAAQJgKBgEpKSiRJU6dOVUZGhr2BLtJpb0D3v31MT2w8JV/Q1IT0WP3iqjx9bkq6ol3vVyYnj7VpY5lHZkjKyHZp1oJ4uVwUiYhMF1QmJiYm6r777pNhGPrxj3+sxsZGSe0zEn/5y19q7dq1uummm/TpT3+6V8ICAAAAAAD7bdiwQU1NTUpISNCcOXPsjnNRyk+06FuvHNaOU15FOw19ZWaGfrI4V0OSos467tB+vzat8co0peyhbhXOi5fTSZGIyHXBc5DT0tL0/e9/X16vVz/+8Y/V3NysX/3qV1qzZo1uvPFG3XDDDb2REwAAAAAAhIHKykpt3rxZkrRo0SJFRUV9xCvCS9C09PSWaj1YclzN/pDyU6P1i6vz9MmxqXIY75eElmVpz/ZW7dzSKkkaMSpKBXPj5KBIRIS7oA1YzsjOztayZcv0ox/9SP/2b/8mr9erG264QZ/5zGd6Oh8AAAAAAAgTwWBQb731lizL0tixYzVy5Ei7I12Qutag/m/ZCe2uaS8Irx6TrP8zI0Nu59lzrUzT0raNXh0/HJAkjZsco1HjozvunwhEsgsqEw8ePHjWz5/5zGf09NNPa+bMmZo5c+Y5z/e3f1QAAAAAAEDX1qxZo/r6esXHx6u4uNjuOBdk1ymvHl11Qg2+kOLcDn1jTpaKcpPOOS4YsFS+xqOaqqAMQ5paGKthedE2JAbC0wWVif/xH//R6ePl5eUqLy8/5/Fnn3324lIBAAAAAICwcuLECW3dulWSdNlllykmJsbeQN1kWZb+sbdeT22plmlJwwdF656FOefcG1GS/D5T60s9aqwPyemUCorilTnEbUNqIHxdUJl411139VYOAAAAAAAQptra2vTmm29KkiZMmKARI0bYG6ibvIGQfrWuSquPNkuSikck6auzsxTjOncLCU9LSOtXeuRpMeWOMjR7YbxS0i7q7nDAgHZBfysWLVrUSzEAAAAAAEC4WrlyZcfuzQsWLLA7Trcca/TrP0tP6HhTm1wO6bYZmbpqTHKn9z1srA9qfalHfp+l2HiH5hTHKyHRaUNqIPxRsQMAAAAAgC7t379fe/bskSR94hOfUHR0+N8/cP3xZi1fXSlf0FRqrEt3L8jRuPTYTo89fSqgjas8CgalpEEOzS5OUEzsuTMXAbSjTAQAAAAAAJ1qbm7WihUrJEkzZ85UTk6OzYnOz7Isvbi7Tv+ztUaWpEmZcfr3eUOUHNt5/XHyWJu2rPPKNKW0dKcK5yfIHcWOzcD5UCYCAAAAAIBzmKap119/XX6/X5mZmZo9e7bdkc4rEDL1+IZTeudgoyTpytHJun1mplyOzsvBQxV+7dzcKknKHurW9DlxcjopEoGPQpkIAAAAAADOUV5erpMnT8rtdusTn/iEnM7wvYfgaW9Aj5ad0L7TPjkM6faCTF09NqXTYy3L0r6dPlXs9kuShudHafKMWBldlI4AzkaZCAAAAAAAznL8+HGtX79eUvtmrMnJyfYGOo/tVR79dPVJNfpCio9y6LvzhmjGkIROjzVNSzs2terowTZJ0thJMRo9IbrTTVkAdI4yEQAAAAAAdPB6vXrttddkWZbGjx+v8ePH2x2pU6Zl6e+76/TMthqZlpSXEq27F+QoOzGq0+NDQUub1nl06kRQMqTJM2I1YlT4byYDhBvby8QXX3xRGzZs0IkTJxQVFaUxY8bo85//vIYMGWJ3NAAAAAAAIsqZ+yR6vV6lpqZq0aJFdkfqVHVLQL9Ye1I7q9vvebgoL0lfnZWlaFfnuzC3tZnaWOZR3emQHA5pxtw4ZQ/tvHQEcH62l4m7d+/WJz7xCeXn5ysUCumvf/2rfvzjH2v58uWKiYmxOx4AAAAAABGjvLxcx44dk8vl0pVXXim32213pLNYlqV3Djbqv8ur1Ro0FeMy9OWCTC3OH9TlUmVfq6l1K1vU3GjK5ZZmzU9QWobtdQjQb9n+t2fZsmVn/fzVr35Vt99+uw4ePKgJEybYlAoAAAAAgMhy5MgRrVu3TpJ0ySWXKC0tzeZEZ2vwBfX4+iqtP94iSRo3OFbfKsruclmzJHlbQlpb4pHXYyo6xtCc4gQlJYfvRjJAf2B7mfhhXq9XkpSQ0PnNUgOBgAKBQMfPhmEoNja24/twcyZTOGaDfRgX6ApjA51hXKArjA10hbGBzjAu0BXDMFRXV6fXXntNkjRp0qSwm9yz7lizfr2uUo3+kFwO6Zap6bpufJqc59mBuakxpLUrWuT3WYqLd2juJQmKT6BI7C7+zUBXDMuyLLtDnGFZlh599FF5PB498MADnR7z3HPP6fnnn+/4OS8vT4888khfRQQAAAAAYEAJBAL67W9/qxMnTmjo0KG688475XKFx9yjFn9Qy9+p0Es7KyVJowbH60dXT9CYjMTzvq66qlWvvHhUfl9IKWnRuvrTuYpPCK8l20B/FVZl4pNPPqktW7bogQce6HI6dVczE2tqahQMBvsqarcZhqGsrCxVVVUpjD5q2Ixxga4wNtAZxgW6wthAVxgb6AzjAp2xLEtvv/22du3apdjYWN18881KSkqyO5YkaUeVR79YW6lqT0CGpOsnpOmWqYPldna+ycoZp08FtL6sRaGglJzq1JziBEVFn/81OBf/ZkQWl8ul9PT07h3by1m67Q9/+IM2bdqkH/3oR+e9L4Pb7e7yBrDhPLgtywrrfLAH4wJdYWygM4wLdIWxga4wNtAZxgU+aOfOndq1a5cMw9CSJUuUmJho+/hoC5n609Ya/WNvvSxJmQlufXNutiZmxEk6/3/7V50IaNMaj0xTGpzhUuH8eLnchu3vqT/j3wx8mO1lomVZ+sMf/qANGzbohz/8oTIyMuyOBAAAAADAgFddXa2VK1dKkq644grl5ubaXhodrvdp+epKHWn0t+caNUj/Z0aG4twffa/DY4fatG2jV5YlZea4VDA3Xk4n9/sDeprtZeLvf/97rVq1St/73vcUGxurhoYGSVJcXJyiorrekQkAAAAAAFwcn8+nV155RaFQSHl5eSouLtapU6dsy2Nalv6xt07PbD2toGlpUIxT35idrcKhnW/O+kGWZalit1/7dvokSUNHuDW1ME6O82zOAuDi2V4mvvHGG5KkH/7wh2c9/tWvflWLFi3q+0AAAAAAAAxglmXpzTffVFNTk5KSknTFFVfI4bDvnoI1noB+sbZSO055JUmFOQn6+pwsJcd8dGVhmpa2l7fq2KE2SVL+uGiNnxLDDsRAL7K9THzuuefsjgAAAAAAQMTYtGmTDh06JKfTqauuukoxMTG2ZSk93KTfbqiSJ2Aq2mno9pmZWpw/qFtlYJvf1Ka1Xp0+FZQMafKMWI0YFd0HqYHIZnuZCAAAAAAA+saxY8e0du1aSVJxcbFt+xb4g6Z+s6FKKw41SZLGpMXo20VDNCSpe7c7a6gLqny1R61eS06XVDA3XplDOt+sFUDPokwEAAAAACACtLS06LXXXpNlWRo/frwmTpxoS45ab0APl55QRa1PDkP67KTB+sykNDm7eY/Dowf92rGpVaYpxSU4VDgvXknJH71BC4CeQZkIAAAAAMAAFwqF9Oqrr6q1tVWDBw/WokWLbLmvYEVtqx5aeUJ1rUElRjn0vQU5mpIV363XBgKWdm7y6viRgCQpc4hL02fHyR1l3/0egUhEmQgAAAAAwAC3Zs0aVVZWKioqSldddZXc7r5fErzxeIseXXVCbSFLwwZFaVnxUGUndm9Zc93poLas88rrMSVDGjsxRqMnRLPRCmADykQAAAAAAAawQ4cOacuWLZKkxYsXKzk5uc8zrDzUqF+srVTIkgqGxOu784cozv3RS5Mt01LFHr/27/LJsqTYOEMz5sQrNZ06A7ALf/sAAAAAABigmpub9eabb0qSpk2bpvz8/D7P8Or+ej2x8ZQsSYtGJOkbc7Pl6sb9Eb0eU1vWeVR3OiRJysl1a3JBnNxRzEYE7ESZCAAAAADAAGSapl5//XX5fD5lZGSoqKiozzO8uLtWT22pkSRdNSZZX5mZKUc3liafONqm7eVeBQOSyyVNLojT0BHdWxINoHdRJgIAAAAAMABt3LhRJ0+elNvt1pIlS+Ry9W0F8PzOWj2zrb1I/MzENN0ydfBH3uMwGLC0Y7NXxw+3b7KSkubU9Dlxik9gt2YgXFAmAgAAAAAwwBw/flwbNmyQJF166aV9fp/EZ3ec1p+3n5Yk3TJlsG6aPPgjX1NfG9Tmte9vsjJmQrRGT4iRoxtLogH0HcpEAAAAAAAGkNbWVr3++uuyLEsTJkzQ2LFj++zalmXpLztO69kdtZKkW6em68ZJaed/TSebrEyfE680NlkBwhJ/MwEAAAAAGCAsy9Kbb74pj8ejlJQUFRcX9+m1/7i5Wv+7t16S9MXp6fr0hPMXiV6PqS3rPaqr+eAmK7FyRzl6PS+Ai0OZCAAAAADAALF161YdPnxYTqdTS5Yskdvt7pPrhkxLv9lQpTcPNEqSbi/I0KfGpZ73NSePtWnbxvc3WZlUEKehw90feV9FAPaiTAQAAAAAYACorq7W6tWrJUkLFixQenp6n1w3aFr6rzUnVXakWQ5D+trsLF2en9zl8ZZlae8On97d45fEJitAf0OZCAAAAABAP+f3+/Xqq6/KNE3l5+dr8uTJfXLdtpCpR8tOauOJFjkNaem8IZo/PKnL4wNtlras9+jUyaAkKX9stMZNYZMVoD+hTAQAAAAAoB+zLEslJSVqbGxUYmKiLrvssj5ZKtwaMPXQyuPafsqrKKehuxfkaGZOQpfHez2m1pe2qKXJlMMpTZ0Zp6Ejono9J4CeRZkIAAAAAEA/tmfPHu3bt0+GYWjJkiWKiYnp9Wu2+EN6oOSY9p32Kcbl0PcXDdWkzLguj29uDGndyhb5Wi3FxBoqnB+v5FQqCaA/4m8uAAAAAAD9VF1dnUpKSiRJc+bMUXZ2dq9fs7K5TT8uOa7jTW1KiHLoB5cM05jBsV0eX18b1PpSjwJtlhKSHJpTnKDYOHZrBvorykQAAAAAAPqhYDCo1157TcFgUMOGDdPMmTN7/Zrbqzx6tOyEmttMpcW6dP8lQzUipeuZkDVVAW1c7VEoKCWnOjV7YbyioikSgf6MMhEAAAAAgH6orKxMp0+fVmxsrK644opev0/i6xUNemJjlUKWNDotRvcWD1VqbNe1QuXxNm1e65VpSoMzXSqcFy+Xm41WgP6OMhEAAAAAgH7m3Xff1Y4dOyRJV1xxheLj43vtWm0hU7/beEpvHmiUJC0YnqhvzMlWtKvrGYZHDvi1fVOrZEnZQ92aPidOTidFIjAQUCYCAAAAANCPNDU16e2335YkFRQUaPjw4b12reqWgP6z7IQO1PnkMKRbpqTrhomp550F+e4en/Zs90mSckdGaUpBrAwHRSIwUFAmAgAAAADQT4RCIb322mvy+/3KzMzUnDlzeu1a5Sda9F9rTqq5zVRitFPfnTdE07K7ngFpWZb2bPfpwF6/JGnUuGiNmxLT68uvAfQtykQAAAAAAPqJ9evXq6qqSlFRUVqyZImcTmePXyMQMvX0lhq9tK9ekjQqNUZ3L8hRRoK7y9dYpqXtm1p19GCbJGn81BiNGtf1xiwA+i/KRAAAAAAA+oGjR4+qvLxcknTZZZdp0KBBPX6N401+/XTVSR2qb59d+KmxKfri9HS5nV3fHzEUsrRlnVeVxwOSIU2dGavckdE9ng1AeKBMBAAAAAAgzHm9Xr3xxhuSpEmTJmn06NE9en7LsvTWgQY9saFK/pClpGin/m1OtgqHJpz3dW1+UxtXeVR3OiSHQ5oxN07ZQ6N6NBvwQVYwKNVUSZVHZZ08JjXUympukpobpNZWyWFIhkNyOKSYWCk2XkZcvBQXL8We+YqTERPb/vyHv9xRkmlJsqRQSGrzST5f+5+GQ8awPLs/AttRJgIAAAAAEMYsy9Ibb7whr9ertLQ0LVy4sEfP72kL6b5/7tIbe6slSVMy4/StomylxXW9rFmSPM0hrS/1yNNiyuWWCufFa3Dm+V+D/sMKBhSsOiHr8EFZniZZnhbJ0yJ5miVvi+Rv32RHhiHJkAy996chudxS7JmC7kxxF/deuRd3dnHneK/4k6Q2f/uXzyc11MmqrZZqT0mnq9/7vlqqOy2Fghf2Xrr52EcaOkLOH/zyYl45oFAmAgAAAAAQxjZt2qSjR4/K5XJpyZIlcrl67j/lK2pb9X9XndSplkD7bs1T03X9+FQ5P2L35dqaoDau8ijQZik2ztDshQlKHNTz928cyCzLkpobpcb69uKsuUFqa5OCgfYvw9FeyrndHX8aH/zZ5W4v41xuye2SXFFnHSunq9PNbywz1F7YtTRLzU1SS6OsutPtpV1tzfulXWO9Kq2LqtzOvWaPnOUDomOkrKEyhgyT0jKlxCQpMVlGbOx7F7Qk05Tla5W8nvbys9XT/n2rV5bXI/lbJd+HvjorKQ2HFBPTfs3Enr+1QH9EmQgAAAAAQJg6fPiw1qxZI0lauHCh0tLSeuS8lmXppX31enpLtYKmNGRQjL41J0tjB59/0xTLsnRgn197t/tkWdKgFKdmLYhXTGzX91SMdJZptpdzJ4/Jqjz63p/HpMpj78/u6+65LvTiZ2b9ORztLw4GJcvs/uvdUVJCUvsS4fhEKT5BRlxC+/fRZ8aK9V4wq73Esywp0NZR0Fm+VsnnPbu0a/W2F6ZdiYqWBqVIaRky0jKkwRlSWub73yenyXB89Ji70H3ErcCZItd4/8sdxY7kH0KZCAAAAABAGKqvr9drr70mSZo4caImTpzYI+dt9of02LpKrT/eIkkqyk3Uj6+dppb60+2z5brQ5je1dYNXp062z97KyXVrSmGcXK7+VbRYltU+K6+xVmqol9VY3z5LLRhoL9vMUPtsNMNoL+E6vjc6f/zMVyDQfl89v19qbpBVWyOdPtU+46+trfMwhtFe1g1KlZKSpahoGW635HK9V8oFZJ2ZqXim6Prg9x/+88Mz60yz/asz7qj2GX0JSVLKYBmp6e3l3eAMKbX9z+wx41RVVXXecXGxrGBQCra9n9FSe4nodnerKOwNhvu9WZ04L8pEAAAAAADCjN/v1z//+U+1tbUpOztbixYt6pHZUftOt+r/lp1QjTcol8PQbTMydPXYFCXGuNVyntedrg5oy3qvfF5LDoc0aUasckeG74wtKxiUTp2QqitlnT4lnT7V8adqqy94RuDH5nK1L8vNHiYNGSZjSK6UnSulZ8nowWXrlmm2F4qB95ZLnynqzhSKH1wmHRV93t+fYRi9+vs1XK72zwX9Dr81AAAAAADCiGmaeuONN1RfX6/4+HhdddVVcjo/3v0ITcvS/+6p0zNbaxSypKwEt763IEf5qTHnLYxCIUt7t/t0cL9fkhSX4NDMojgNSrG3TrBM871ddlvb7zdYc0qqqZSqTsg6fqh9CXHwIzbpSEhqX0o7KFWKjW2/H6HL/f5mIGaofVdfy2pfGnxmCa9pyrLM9577wONut4yoGCk6un0Z8JlZfmmZ0uBMGR/zd9gdhsMhOaLaZx0CvYQyEQAAAACAMGFZlkpLS3Xo0CE5nU598pOfVHx8/Mc6pzcQ0s/XVGrDe8ua5w9P1NdmZynOff5yq+50UNs3etXc1D6rLXdklCZOi5XL3TOz1SzLat8Yo+60VHdaVmNt+730Wr0d99WzfN6zHztz7z2/r73AO5/YOCljiIzB7WWeBme+/31aRvuSVgAXjDIRAAAAAIAwsWXLFm3fvl2StHjxYmVmZn6s851qadNPSk7oSKNfboeh22dm6BOjks87G9HvM7Vnu0/HDrXf5y86xtDUwjhlDvn45ZtVeVzWvu3S/l2yKnZJDXUf74SGQ0oa1L5ceHBW+5/D8qShI9rLwzBdhg30Z5SJAAAAAACEgf3792vVqlWSpPnz52vMmDEf63y7qr36z9ITavKHlBLr0r0LczRmcGyXx1umpcPv+rV3h0+BQPusv2F5URo/NUbR0Re/IYbVUCtrfamsdSXS8UPnHpCQJKUObt8EJC6hfUZhTJwUG/ven3EyYt77Pia2/Ss2VoqOk6LC976NwEBFmQgAAAAAgM2OHz+uN954Q5I0depUTZ8+/WOd760DDfrNhioFTSk/NVr3Fg/V4LiuZxaeqvSq9M1mNdaHJElJyU5NLohV6uCLqw0sy5L2bJX5zsvS9vL2ewtKktMljZkoY/REGaMnSHljZETHXNQ1ANiDMhEAAAAAABtVV1frpZdekmmays/P14IFCy56tl3ItPT0lmr97956SdK83ER9c262ol2dzyz0+0zt3eHT0YPtx7vdhsZNjtHw/CgZjgvPYHk9staXyFrxSvsmKGeMGi9j9iIZM+fJSEi68DcGIGxQJgIAAAAAYJO6ujr9/e9/VyAQ0NChQ/WJT3xCDsfFLSn2BkL66aqT2nTSI0m6eXKaPjt5sBydFJOWaenIwbb2Jc1tH1jSPCVG0TEXfn3ryAFZK1+VtaG0fXMUSYqOlVF0qYxLrpaRPfSi3hOA8EOZCAAAAACADZqbm/X3v/9dPp9PGRkZuvrqq+VyXdx/pte3BvWjFcd0qN6vKKehb87N1vzhnc8ArK8Nasem1rOWNF/yiWGyjMb25cndZPn9ssrLZK18TTq0//0nsofJKL6yvUiMjbuo9wMgfFEmAgAAAADQx1paWvTiiy+qpaVFKSkpuuaaaxQdHX1R56pqbtMP3jmmqpaABsU49f1FQzU67dyNVvw+U3u3+3T0vV2aXW5p3ORYjRgVrawhcaqsbPzIa1mBgLR3m6wt62RtWi1522dByumSUVAko3iJNHoim6IAAxhlIgAAAAAAfcjj8ehvf/ubGhoalJiYqOuuu05xcRc3g+9wvU8/fOeY6n0hZSa49aNLhyk7MeqsYyzL0tGDbdqz/QNLmke8t0tzjOMjiz+rtlrW7q3S7q2ydm6SfK3vPzk4U8bCJTLmXSYjKfmi3gOA/oUyEQAAAACAPvLhIvGGG25QYmLiRZ1rd7VXPy45Lk/A1IjkaP3g0mFKjT37P/M9LSFt39iq09VBSVLSIIcmF8QpNb3rOsBq9Ur7dsjavUXW7m3SqRNnHzAoVcb0OTJmzJXGTpZxkfd4BNA/USYCAAAAANAHzhSJ9fX1SkhI0Kc//WklJV3czsblJ1r0SNkJtYUsjU+P1X2LhiohytnxvGVZOlTRpr3bWxUKSQ6nNG5yjPJGR8vxoV2arVBI/j3bZZa9JXPXFungPsk03z/A4ZDyxsgYP03GpBnt31MgAhGLMhEAAAAAgF7m9XrPKhJvuOEGDRo06KLOVXKoUb9cW6mQJc0cEq/vLchRtOv9cq+lKaStG72qP92+wUpahktTZ8YqPvEDZWObX9q9RdbmdbK2bVC1t+Xsi2Rky5gwTcb4adK4yTLiEi4qK4CBhzIRAAAAAIBe9MEiMT4+Xp/+9Kcvukh8eV+9fld+SpJUPCJJ/zY3W673ZhqapqWD+/zat9Mn05ScLmnC1FgNz4+SYRjtOzUf3Cer7HVZ5aslv6/jvI6EJFljJ0sTprbPQEzP+vhvHMCARJkIAAAAAEAvOVMk1tXVKT4+XjfccIOSk5Mv+DyWZenZHbX6y47TkqSrx6bo9oIMOd7bPMXrMbV5nadjNmJ6lktTZsYpLt4hK9Amc/Vbsla8Ip08+v5JUwfLmD5XjoIiZc+/VFXV1e2FIwCcB2UiAAAAAAC9oKWlRS+++GLHjMSLLRJNy9KT5af08v4GSdLnpgzWZyeldezCXHm8Tds2tCoQsORyS5Omx2roiCjJ75P5+muy3vy71FjffrKoKBkF82UsuEIaNV6GYbR/OZ2dXxwAPoQyEQAAAACAHtbU1KS//e1vampqUkJCgq6//vqLKhL9QVO/WFup1UebJUl3zMzU1WNTJEmhoKVdW1t15ECbJCk51akZc+MUZ7TK+ueLst5+SfK0v06pg2Vccb2MuZdw/0MAHwtlIgAAAAAAPai+vl4vvviiWlpalJSUdNG7Ntd6A3po5Qm9W+eT05C+OTdbxXnt91psbgpp0xqPmhvbd13OHxetsXltMt74k8wVr0i+1vaTZGTLuPJGGXMWyXC5e+w9AohclIkAAAAAAPSQ06dP68UXX1Rra6tSUlJ0/fXXKyHhwmcCvlvr009WHldda1CJ0U7dsyBHkzLjZFmWjh5s084trTJDUlS0oemzYjR4/9uy/vj/ZJ2ZiZgzXMZVn5Exc54MB0uYAfQcykQAAAAAAHrAqVOn9Pe//11+v1+DBw/Wddddp7i4uAs6h2VZeuPdRj256ZTaQpaGDYrSfcVDlZUYpUCbpe3lXp08FpAkDc50aVrmcUU9+RtZxw61nyBnuBzX3SJNmSXD4ejptwgAlIkAAAAAAHxcJ06c0D/+8Q8FAgFlZWXpmmuuUUxMzAWdw9MW0q/XV3XcH3HmkHgtnTdE8VFO1dcGtXmtV16PKcOQxo42NXLz76T/V9L+4rh4GdfcImPRlWymAqBXUSYCAAAAAPAxHD16VP/85z8VDAaVk5OjT33qU4qKirqgc1TUtuqnq06qqiUgpyHdOi1d145PlRmS9u1sVcVuvyxLio0zNN2xUcm//2/J3yoZhoz5i2Vcf6uMxEG99A4B4H2UiQAAAAAAXKSDBw/qlVdekWmaGj58uK6++mq5XN3/T23LsvTPffV6aku1gqaUEe/Wd+cP0Zi0GJ04EtCe7a3ytVqSpOwUnyat+5ncx/a1vzhvjBz/8q8yRozujbcGAJ2iTAQAAAAA4CLs379fb7zxhkzTVH5+vpYsWSLnBSwxbvaH9Mt1ldpwvEWSNHdYgr4+J1uBZkur325RfW1IkhQbJ433rFHm80/IsCwpIVHGjf9HxtxLuS8igD5HmQgAAAAAwAXavXu33n77bVmWpbFjx2rx4sVyXECxt6XSo1+urVRda1Auh6EvF2RoUU6S9m326fiR9g1WnE5pVOwRjXjnv+RsqpUkGXMukXHTl2UkJvXK+wKAj0KZCAAAAADABdi2bZtWrlwpSZo0aZIuueQSGYbRrdf6g6ae2lKtV/Y3SJJykqK0dE62zGpDJa82K9Q+GVFDExs0ZsPjijmxt/2BjGw5/uVOGROn9/TbAYALQpkIAAAAAEA3bdr0/7N33/Fx3Ped/18zsx2L3gtBEOy9UxKpQnXJlmzJkWRblmNbLufESe6SOPYv5RLb58SJk5x/l9zjl4tTzrZcVUyRkmiqN1ISmyj2ToAE0Tuw2L4zvz9WhEQREEES4ALg+/l48CFyZ+a7n1l8BQ7e/JadbNmyBYAlS5Zw3XXXjThIPNoZ4X9uaaapPw7AR2fmcXtJPkffihIJp9dFzPeEmHvwx+TVbU1flJ2LcfenMK67HeMC1mIUERkr+k4kIiIiIiIiMgJbt25l69Z0yLdy5UquvvrqEQWJSdvhsX0dPLqvE9uBAr+Lry4oI3naYU9dBACfGWPO8UcpP/48BoA/C+PmuzBuuxfDHxjDuxIRuTAKE0VERERERETOY+fOnYNB4urVq1mxYsWIrmvojfH/vtHMsa4oAGurcrjWk0vLrvS6iCYppjdsovboOiw7Drn5GLd8DOOGOxUiisi4pDBRRERERERE5EPs27dvcGrzmjVrWL58+XmvSdkO6w928fM9HSRsh2y3yeeqSkk2O7Qk00FiRdtWZh/+Bf5YFxSXYdz+CYzVN2G4PWN6PyIil0JhooiIiIiIiMgwjhw5wksvvQTA8uXLRxQkNvTG+Kc3mznSmR6NeGNBLvOSAaIN6XURc/tOMO/wT8nvPQZV0zDufBhj+RoMyxq7GxERGSUKE0VERERERESGUF9fz3PPPQfAwoULWb169Yee/8HRiFUuDx8JFmD3QQwHb6yb2ccepbL5DYyZczE/91ewYNmIN3ARERkPFCaKiIiIiIiIfEBTUxMbN27Etm1mzZrFDTfc8KGh3/tHIwaxuDsrj4KYGzsEZirOtFObmF7/FK75izB/+3sYM+ZdxrsRERk9ChNFRERERERE3qe9vZ0NGzaQTCapqanh1ltvxTTNIc+1HYenDnXzyDvtGDasdmUzDz/E0udXNm9m1olfE1g0H+Ohv8eoqrmMdyIiMvoUJoqIiIiIiIi8q7u7myeffJJ4PE5FRQV33nkn1jBrGbaFEvyvt5rZ3xpmnhFgpSsLF+lzC7sOMKfucfKWzML4zN9gFJddztsQERkzChNFREREREREgP7+ftatW0ckEqG4uJi7774bt9t9znmO4/ByXR//tqOV/KSL+6xCco30ecHQaeacWk/J4mrMz/x3jJz8y30bIiJjSmGiiIiIiIiIXPHC4TBPPvkkoVCIvLw8Pv7xj+P1es85rzea5P/b1sKBhghrzBymWj4APPE+ZjVuZMriEqxP/zeMQNblvgURkctCYaKIiIiIiIhc0WKxGOvXr6e7u5tgMMi9995LIBA457wdjSH+5c0WpiV8/JZVhGUYGHaSqW2vM2uuB88nv4DhOTeAFBGZTBQmioiIiIiIyBUrkUjw1FNP0d7ejt/v59577yU7O/usc2zH4Vd7Otixf4DbzHwCZnpdxOLu/cyrDpH9iY9gDDGKUURkMlKYKCIiIiIiIlekRCLBhg0baGpqwuPx8PGPf5z8/LPXOAwnUvzTa81ktblYa+UBEAi3Mi/rOKWfvQ4zK3uIlkVEJi+FiSIiIiIiInLFORMkNjY24na7+fjHP05JSclZ5zT3x/nX5xqZm8hJj0a0U8yKbGfGR5dglX4kQ5WLiGSWwkQRERERERG5onwwSLznnnsoLy8/65y9zSGefaWH5WY+GOCJtrOqtpu8a2/HMIwMVS4iknkKE0VEREREROSKEYlE2LBhA62trcMGiS/ubuXkAYPZZhCAssg+ln5sPq6CmZkoWURkXFGYKCIiIiIiIleEvr6+wV2bfT4fH/vYxygrKxs87jgOjz13ErM7h2LTJGknWJ57lCkPrNFoRBGRdylMFBERERERkUmvo6OD9evXMzAwQDAY5J577qGgoGDweCSW5LH1DeQ76WnNiXgXt620Cc5ZncGqRUTGH4WJIiIiIiIiMqk1Njby1FNPEY/HKSgo4OMf/zjZ2e/twtzS2MNLr4XJN9M7OZvxE3z83plYQe3ULCLyQQoTRUREREREZNI6fvw4mzZtIpVKUVFRwV133YXP5wPS05p3vlrPqZYcss0AMSdFRaCOax5YrmnNIiLDUJgoIiIiIiIik9LevXt55ZVXcByH2tpa7rjjDlyu9I/B4d4YL29qwiYftwFdqTBr5oWZsWRFhqsWERnfFCaKiIiIiIjIpBKLxXj11Vc5dOgQAAsWLGDt2rWYponjOJzY0ci+Yz5MM5+k49CSauHBuyrJza3IcOUiIuOfwkQRERERERGZNBobG3nuuefo7+/HMAyuvvpqVqxYgWEYhEMJtm9qoC9VgGlCqx0nO6+N/3LHfExNaxYRGRGFiSIiIiIiIjLhJRIJ3nrrLXbt2gVATk4Ot99+O+Xl5TiOw8nd7ew94OCYBSQdh32pbj6yKovlMxdkuHIRkYlFYaKIiIiIiIhMaKdOneKll16ir68PgHnz5nH99dfj8XgID6TY/fxpOmK5YEKrE+ek2c7v3zWTkqAnw5WLiEw8ChNFRERERERkQhoYGGDLli2DayMGg0FuuukmampqcGyH+n09HNgbJ2XmknQcdtr9VFUm+ctr5+K2zAxXLyIyMSlMFBERERERkQkllUrxzjvvsG3bNhKJBACLFy/mmmuuwe1yc/pEmCM7exiwA2B6aHXivJnq4aGri7lxen6GqxcRmdgUJoqIiIiIiMiE0djYyIsvvkhPTw8ApaWl3HDDDZSWltJUH+XI2x2EkgEgQNSxeccO0eWN8N9vn0pNvi+jtYuITAYKE0VERERERGTci8fjvPHGG+zZsweAQCDA6tWrmTNnDs0NcV5Z10Io4QcCxJ0Ue+ww+50wK6dk8WdXzyDLY2X2BkREJgmFiSIiIiIiIjKuNTU18eyzz9Lf3w/A/PnzWbNmDV3tJq+tb6M/7gP8JO0ku50I+5wwhUGL/2dFJSsqg5ktXkRkklGYKCIiIiIiIuPW/v37efnll7Ftm5ycHG688UY8Vjlbn+2mL+oFfKTsBLuJsc8eABPuW1DIJ+YX4NEmKyIio05hooiIiIiIiIw7tm2zZcsWdu3aBcCMGTO4/rqbOLi1n5bOMODFthPsdcLscaLEcVg7LYfPLC6mOMud2eJFRCYxhYkiIiIiIiIyriSTSX7zm99QV1cHwKpVq6gqWcTmjX0k8OA4KQ4l+9hhxInhsLA0wBeWlTC9QBusiIiMNYWJIiIiIiIiMm6kUik2bdpEXV0dLpeLW26+hXBjNru2xwEPoeQAzxGhy0hSlePhC8tKWF6RhWEYmS5dROSKoDBRRERERERExgXbtnnhhRc4ceIElmVxx+0fpXmvSVfMj+PY7LZDvE0Yn9vkq0tKuW1GHpapEFFE5HJSmCgiIiIiIiIZ5zgOL7/8MocPH8Y0TW684Tbqt5sMGNkk7SQvOH2cduKsqgry1ZWlFAa0LqKISCYoTBQREREREZGMisfjvPDCCxw7dgzDMLh+9Y007MkibgUI23F+Y/cRc9v88aoKrpuarSnNIiIZpDBRREREREREMqa3t5dnnnmGjo4OTNPkujVraT2YQ9wK0GnH2GT3kpdt8d0bplKV6810uSIiVzyFiSIiIiIiIpIRjY2NPPPMM0SjUQKBALfceBvHt9pErWy6nQQb7R5ml/n5xrWVZHutTJcrIiIoTBQREREREZEMaGxsZP369SSTSUpKSrj15jvY93wHYauIkJPkN6lurqnJ5vevKcelTVZERMYNhYkiIiIiIiJyWbW0tLBhwwaSySTV1dVcv+J6dj3XQ9hVRMRJsTHVzeIpAf7gmnLt1iwiMs4oTBQREREREZHLpq2tjfXr15NIJKiqqmJlzVK2vhYj6cojZCfYZPcyvdzHH6+pUJAoIjIOKUwUERERERGRMdff388777zDvn37SCQSlJeXsyhvNm8fygbLpNWO8bzdQ22xjz+9vhK3ZWa6ZBERGYLCRBERERERERkz4XCYLVu2cPjwYWzbBqCiooJlRXPY31oJBhy2w2yx+7imOps/uKYcr0tBoojIeKUwUURERERERMZEf38/69ato6enB4DKykqWL1+OuyXB2/WFYMA+e4C37H4+s6iI+xcUYhia2iwiMp4pTBQREREREZFR193dzbp16wiFQmRnZ3PHHXdQXl5O29sn2FaXB6bJETvM20aIP72+kqunZGe6ZBERGQGFiSIiIiIiIjKq2tvbefLJJ4lEIuTn53PPPfdgt4fZ+YvdNBlTwDQ5YUd5kz7+7PoqllUEM12yiIiMUMbDxAMHDrBhwwbq6uro7u7m61//OqtWrcp0WSIiIiIiInIRmpub2bBhA7FYjKKiIm67Zi3719fT7p4C5lQAjtsRXrd7+aPrKhQkiohMMBlf1TYWi1FTU8PDDz+c6VJERERERETkEpw6dYp169YRi8UoLy/ntlXXs2tznHb3FBzHpj41wLpkBy/bvfzu1WWsqc7JdMkiInKBMj4ycenSpSxdujTTZYiIiIiIiMglOHbsGJs2bcK2baqrq7l23nJ2vuUQ9+TRbSd43u6hjxRVOR6+ubiC1QoSRUQmpIyHiRcqkUiQSCQG/2wYBn6/f/D3482ZmsZjbZI56hcyHPUNGYr6hQxHfUOGo74hQxmLfpFMJjly5Aj79u2jubkZgBkzZnBV7QK2bzdJuLPocBJssruoKfbxB/MLWVEZxFTfHFf0PUOGon4hw5lwYeK6det4/PHHB/88bdo0/u7v/o7i4uIMVnV+ZWVlmS5BxiH1CxmO+oYMRf1ChqO+IcNR35ChjEa/iMfjvP7662zevJlIJAKAaZpcffXVLC6ZwQuvR0i6/LQ6cZ5NdfOJ5ZX80Y0zFUqMc/qeIUNRv5APmnBh4r333stdd901+Oczfxm1t7eTTCYzVdawDMOgrKyMlpYWHMfJdDkyTqhfyHDUN2Qo6hcyHPUNGY76hgxlNPqFbdvs37+frVu3MjAwAEBOTg4LFixg3rx5DBxp5fnNMVIuP012jOftHj4+v4BPzwnS0tIymrcjo0jfM2Qo6hdXFpfLNeKBehMuTHS73bjd7iGPjefO7TjOuK5PMkP9QoajviFDUb+Q4ahvyHDUN2QoF9Mvurq6OHToEIcPH6a/vx9Ih4irV69m5sz0iMOW7cfYeSwX23LTYMd4we7mk4uKeGBB4eD7yvim7xkyFPUL+aAJFyaKiIiIiIjI2HMch5MnT7J161ZaW1sHX/f5fKxatYqFCxcCBi3bjlF/NEaHuwpMqLejvGT38NtLi7l3XmHmbkBERMZExsPEaDR61nD3trY26uvrCQaDFBUVZbAyERERERGRK1NbWxubN2/m9OnTQHo9xOrqaubMmUNtbS0GcOrF/RxrzSHqKQZ3Onw87ETYYvfx5RWlfHR2fmZvQkRExkTGw8Tjx4/z7W9/e/DPP/nJTwC44YYb+NrXvpapskRERERERK44ZzZW2b9/P5AOERcvXszy5csJBAI4jkPr1sMcPGIS8laDB1KpOAeMGPvtKAOk+NpVZdw6Iy+zNyIiImMm42Hi/PnzefTRRzNdhoiIiIiIyBWtoaGBF154YXBNxNmzZ3PNNdeQk5NDrKuXuld2crrdS4+vCryQsBNsdyIccsLYDtTme/n0ojJWVWVn+E5ERGQsZTxMFBERERERkcyxbZvNmzfzzjvvAOmNVW655RaqqqroPXCC7TuO0Oaeim1OBx84Top9ToRd9gC26XBDTQ53zspnVqEPwzAyezMiIjLmFCaKiIiIiIhcoRKJBJs2baKurg6ABQsWcO2115Js7WTXI1s57Z4J3gIAwqkB9pHimBMljM01U4J8bmkJ5dmeTN6CiIhcZgoTRURERERErkDRaJSnnnqK5uZmLMvi9ttvp7a6muPrd3AkMR3bMxuAk3aYnXaYLpIAzC7y87klxcwvDWSyfBERyRCFiSIiIiIiIleYcDjME088QXd3N16vl7vuuovcUJw3fnaQ7sA8sKDDjrLFHqCdBKVBNw/UFHLDtByqcryZLl9ERDJIYaKIiIiIiMgV5vXXX6e7u5tgMMjHPvYxQpsP89rAdFKBfJJOii12iKNOhJIsF3+0uJzranIwtR6iiIigMFFEREREROSK0tTUxOHDhwG48/bbad90gGPuReCCFjvKK3Yfthu+sLCYj8zKx2OZGa5YRETGE4WJIiIiIiIiVwjbtnn11VcBmDd7Nq3PnaAhsAiAnal+djkDLCoL8AdXl1Oc5c5kqSIiMk4pTBQREREREblC7Ny5k7a2NjxuN4EGPw3ZC3Echy12HyfMKF9eWsJHZuVrSrOIiAxLYaKIiIiIiMgVIBaLsWnTJgCmeUroDC4i5di8bPfS7UnyNzdWM7PQn+EqRURkvFOYKCIiIiIicgXYunUrAwMD5AWDJLyrAXjN7iMcSPG9m6ZSmePJcIUiIjIRKEwUERERERGZ5Hp6eti9ezcAlalywi4/rU6cRLbN3948lcKA1kcUEZGRUZgoIiIiIiIyyW3ZsgXbtqkuKiFsXQPAVruP/379FAWJIiJyQcxMFyAiIiIiIiJjp7GxkePHj2MYBsHwFACO2hGWzwhSnevNcHUiIjLRKEwUERERERGZpBzH4fXXXwegJruISPZ8ko7DPjPEpxYVZbg6ERGZiBQmioiIiIiITFKHDx+mra0Nt9uNy1kEwB5ngLsWFJDn06pXIiJy4RQmioiIiIiITEKJRII33ngDgFpfEclAJWEnRbMvyl1z8jNcnYiITFQKE0VERERERCahnTt3EgqFCAYCJF2rAHjbDvHQslI8ln4UFBGRi6O/QURERERERCaZnp4edu7cCUCtUYztyaXHSWKWuLh2anaGqxMRkYlMYaKIiIiIiMgk89prr5FKpagsKqbfdzUA2+1+fn/tDAzDyHB1IiIykSlMFBERERERmUROnDhBfX09pmlSFikGl5cWJ05hmYsV1VorUURELo3CRBERERERkUkimUzy2muvATCvrIqurGUAbE/187llJZksTUREJgmFiSIiIiIiIpOA4zi8+uqr9PX1EczKwuqdAobJCTvC3Gl+puX7Ml2iiIhMAgoTRUREREREJoFt27axf/9+DMNgQVY5fcHpJBybHfTz4KKiTJcnIiKThMJEERERERGRCW7fvn1s3boVgGuXraArsQCAXfYAt87JozToyWR5IiIyiShMFBERERERmcCOHTvGyy+/DMCqVatwHU+R8OTQ4yRp8sV4YKFGJYqIyOhxZboAERERERGRyayvr4+tW7dSVVXFnDlzMAxjVNq1bZu33nqLHTt2ADBv3jxmmwE2e6oAeMPu4+HlJfhcGkMiIiKjR2GiiIiIiIjIGAmFQvz617+mr6+PgwcPsm/fPtauXUtxcfEltdvf38+mTZtobm4GYOHChawom8Kb213gTW+6UlTqYnV19mjchoiIyCD9E5WIiIiIiMgYiEQiPPnkk/T19ZGVlYXb7aa5uZlf/vKXvPXWWxfdbigU4pe//CXNzc14PB7uuOMOrpk+i23bbGLePLqcBG86fXxlRemojYIUERE5QyMTRURERERERlksFmP9+vV0dXWRlZXFfffdh2mavP766xw7doxt27YxdepUysvLL7jtt99+m0gkQn5+PnfffTeBRIo3n24mHKii30myKdXNR+blMyXXOwZ3JiIiVzqNTBQRERERERlFjuOwadMm2tra8Pl83HnDLTQ8f5yBg6185CMfYe7cuQDs3LnzgtuORCLs27cPgOuvvx5XYxtvPdVEX6CKiJPiN6luFk0J8JnFlzaNWkREZDgKE0VEREREREbR3r17OXnyJJZlcedNt3L4jTh1qVq21xWx42fvML92FgAnTpygq6vrgtrevXs3yWQyvebiznpeeyeb3qwpxJ0Um1Ld1JR5+eM1FVimpjeLiMjYUJgoIiIiIiIySnp6eti8eTMAVy1fyfE34oS8xUSdFI7j0OyqYfdbbspzioD0lOWRisfj7N69G4CC/hz2JBaTcvlptaM8keqkoNDFn15ficfSj3kiIjJ29LeMiIiIiIjIKLBtm+eee45kMklleQUDh7Po95YSdlJsSHWxLtVJhx0n6QqAtRyAQ4cO0d/fP6L29+7dSywWI+j2EctZjePYbE/187TdQ1WRl7+8cQoBtzWWtygiIqIwUUREREREZDTs3LmTlpYWPB4PReGp9Pkqib67juGq6UEqSz2st7tosGP4PKXkunOwbZt33nnnvG0nk0l27doFQLZrFoZhsM0OsY8BHlxcxPdurSbHqyBRRETGnnZzFhERERERuUT19fVs3boVgLkFtfQ5M0k6TjpInBHkd1aV4gDPH+tlw44OpuDF519Gb+IV9u3bx8qVK/H5fMO2f/DgQcLhMH6XB2/2QqKOTac/zt9dP5WZhf7LdJciIiIamSgiIiIiInJJGhsb2bhxI7ZtU1s5lb7kEgC22f0smhbgq6tKMQwD0zC4fWYe18zNocWJ4/dNIegKkEgkOHz48Ie+x969ewHItaZhGBb77AEeXlmmIFFERC47hYkiIiIiIiIXqbW1lQ0bNpBMJpk6dSqBgVlgeWiwY9gFNr9/dTmmcfbOynfNKWC/HcIwDDyeGUB6ZONw2tra6OjowDQMPDlLiDs2oewEKyqzxvLWREREhqQwUURERERE5CI0Nzezfv16EokElZWV1KamMOAtJ+rYbDN6+cM1FVimcc51eT4Xc6b76XIS+P01AJw+fZpEIjHk+xw4cACAHKsYy/Ry0Alzz8IiDOPctkVERMaawkQREREREZELkEwm2bJlC48//jjRaJTS0lKWFs+lPl4DwGa7l4dWllCW7Rm2jXvmFbLPHsBt5eIy/aRSKRobG4d8rzNToL3BRSQdh3ZflNXV2WNybyIiIuejDVhEREREROSK4TjOJY3oa2tr47nnnqOrqwuAOXPmMDOrmn0NJWCY7LcHKKt0c3Nt7oe2U5btobTKxUCTjd87hf7IEerr66mpqTnrvBMnThCLxfAYHvyeMg46Ye5eVDTkiEcREZHLQWGiiIiIiIhMeuFwmJdffpn6+noKCwupqqqiqqqKKVOmYFnWiNro6elh3bp1xGIx/H4/N910E1k9JjuO5IBpctgOc8gd5p+umjaiwPITC4p4pLGD2Z7KwTDxg2HnmSnOAf9sDMOkyRXhj2oqLu5DEBERGQUKE0VEREREZFI7duwYL730EtFoFEiPLmxra+Ptt9+muLiYu+++m2Aw+KFtxONxnn76aWKxGKWlpdx99920v93IjoZcHNPimB3hHSvE/7i5mhzfyH7Mqi3w4Q/E8FMGmPT19dHT00N+fj4A/f39nDp1CoCgfwatTpybFxTgtjQqUUREMkdrJoqIiIiIyKSUSCR47rnn2LhxI9FolKKiIj7xiU9w2223MW/ePHw+H+3t7Tz66KN0dnYO247jODz//PN0dXWRlZXFTdfcwO4n69nTWIxjuqizo2w3+/jWzdVMy/ddUI2L5+YTNyx8nlLg7F2dDx48CIDfVYjblc1xJ8yN0z58+rSIiMhYU5goIiIiIiKTTn9/P4899hiHDh3CMAxWrlzJzas/Qv+RJNlGGddffxOf/OQnyc/PJxQK8dhjj9HQ0DBkW9u2beP48eOYpsnyygVs32zQYVWQcmy2pvp40+zlWzdXM6PwwoJEgOVV2Zx2YgQ8lQCcPHkSgL6+Pvbs2QNAMDCXhGNTVG6R7R3ZlGwREZGxomnOIiIiIiIyqTQ2NrJx40YikQh+v5/bb7uTnoNxtp0CyIN2YFcPeUY31y+8ge3HttHU1MT69eu59957qaysHGzr6NGjbN26FYDltQtp6JkJlkmzE+f1VC/egMG3rqtmVpH/omotCriJWGH83koI7eD06dN0d3ezfv16wuEwPtNHwFfNUSfKrXMKLvmzERERuVQamSgiIiIiIpPGsWPHWLduHZFIhOLiYm699qMcecPhZG86iDtpR+mxE2CY9FDInsM5LCpewrRp07Btm6effnpwp+ampiaee+45AOZOn013z2wwTA7ZYX5jd7F2Tg7/fFctsy8ySDyjqsqLy8zGZQWxbZtf/vKX9PX1kZOdTXHe7ZiGi3ZXhIWlgUv7cEREREaBRiaKiIiIiMik0NDQwKZNm7BtmxkzZjAtex57d/vANOl3Urxu99JmxEnakGWbLDazmGdmcbiliClZM4iURWhpaWHDhg3ceuutPPPMM6RSKWqqa6BzBimvj2YnzhHvAN+/YSozCy8tRDxj2fQCtp4K4fdU0h85TCKRICcnh1X5MzkezaXHSbJ0Vg7mCHaIFhERGWsamSgiIiIiIhNea2srTz/9NLZtM23adArjsznWlAeGyWE7zK9THSyeEeCR+2by/36khk8sKeS4L8LWVB8ADQPlVDlzyM3Npa+vjyeeeIJoNEpJSSn5oRqi3kL6nSSb6eYvbqoetSARYE6xn1YnSpavGoDs7Gw+dudHaOopAuCIHebmGXmj9n4iIiKXQiMTRURERERkQuvq6mL9+vUkEgkqyivxh+bSZhaQchzesPvo9sf5y2uqWFSWBcC0fItp+T5unZ7Ld185zUtdPdxg5tJpVDMrEGdv7G2i0Sg5OTlMM2bS5q4m4dg8n+rm926oYGqed1Trd5kGWdkJ/APllOXdzJ13lLB/YwMRfy0Jx8ZXaFOc5R7V9xQREblYGpkoIiIiIiITVn9/P08++STRaJTiohKyY0uImAUMOCmeTnWRXW7yg4/WDgaJ75frc/HdW6oprHDxot2D4zh02DNYUbmURYsWsTB/AW3UYjsOL9m93L2kgFVV2WNyH3NmFRBxbPzeSnb8ppN2fy1Jx+Y5u4cb52rjFRERGT8UJoqIiIiIyIQUDod58sknCYVC5OXlUeQsJe4upM9JsiHVwS2LcvnztVUEPdawbXhdJn96fSW1U728ZfcD0Ng/ndyuEpqiMwDYYvcxc5qXe+eNXai3oipIoxMDIOQrI+nYPGv3ECwwWVk5NgGmiIjIxVCYKCIiIiIiE048HmfDhg10d3cTDAYpt5YTdZUy4KR4zu7iv95QwacWFo1o0xLLNPi9q8sxixwO2ANgmJxOVADwth3CX2rwtavKMcZwA5TCgJuIFQYg8b4g8Vs3TcFtaeMVEREZPxQmioiIiIjIhJJIJHj66adpa2vD5/NR7VtB1FVJxLHZlOrkd68r56oLnI7stgz+nxuqaAhEOGVHAThsh+nJifPN6ytxmWMf6FVND/Jmqo+nU13kFFp8+6YpHzqqUkREJBMUJoqIiIiIyLiUTCZJJpNnvRaLxXjyySc5ffo0breb2uwVRKxqYo7Ns6lOHl5TxlVTLm5acNBr8Rc3VbPV6uPXyQ6O+ML85U3VBNyXJ9C7vjaXQ4QpL3HzrZuqyFKQKCIi45B2cxYRERERkXHBcRxOnjzJqVOnaG5upr29HYA5c+awbNkyfD4fTz75JB0dHXi9XmbkLSdMesfjZ1PdfOqqYq6vybmkGsqyPXz71mpePN7LXbPzyfdfvh+ZavJ9PHLfTAJuc0ynVIuIiFwKhYkiIiIiIpJxiUSCl156icOHD59z7MCBAxw4cACfz0c0GiUQCDC7YCU9iamkHIfn7R7uXpbPrTPyRqWWafk+vrTCNyptXSiNRhQRkfFOYaKIiIiIiGRUb28vzzzzDB0dHRiGwfz586moqKC4qIxwOMzuPW9z4sQJotEo2dk5TM9ZQU+iCttxeNHu4cZFOXxs7tjttCwiIiLvUZgoIiIiIiIZU19fz7PPPkssFsPv97N8/lro99G8x+Co7WDgpSp/EUvuvYqW1tOEjvvoTZaTchxetntYNTeLBxYUZfo2RERErhgKE0VERERE5LJzHIcdO3bw5ptvAlBSUkqZawmNDcXvnWSAg0VDTw4NW2y8TikxM0DcsXne7uGq2Vk8tKR4mHcQERGRsaAwUURERERkAguHw5w+fZqWlhb6+vro6+tjYGCAqVOnMnPmTKZOnYppmpku8yyxWIznn3+eEydOADCjdg5m/1z6U9kkHJt9TphWJ06nkySIxRIzi6mmj5gRIOyk2JTq5mNL87l3XmGG70REROTKozBRREREROQSxONx3G73Zd19t7e3l4MHD1JXVze44/EHHTp0iEOHDpGVlcWcOXOoqqqivLwcj8dz2eoEsG2bI0eOsHfvXvr7+4nFYiQSCQBM02T+tOWE+meTMk26nSQvprqZWeljbVEOMwr9NPfHeWJfOzsjIaYaXk44Eb5wTSk31uZe1vsQERGRNIWJIiIiIiIfwrZt2tvb6e3tJRKJEIlECIVCdHd3093dTTQaxev1UlxcTElJCQUFBQSDQYLBIFlZWXi93kt+/zPv2dXVxcGDBzl9+vRZ5wS9OfhdRZhGDlh5mKafePw4/bGTDAwMsHPnTnbu3IlpmpSVlXHzzTeTn59/SXWdTyqV4tChQ+zYsYPe3t5zjufk5FAdXEooNBUMOG5H2GX08ns3VLGyKjh43tLyLG6dnsfLdb281dDPH82pZEl51pjWLiIiIsNTmCgiIiIi8gGhUIhjx47R0NBAY2Mj8Xj8Q8+PxWKcPn36nJAPwO12D4aLHo8Hy7KwLAuXyzX4e9M0icVig7+i0ejgf6PRKI7jnNNujrcYj2cmfm8lLst/znGfp5jsrJWEo/VAA/3xLiLREE1NTWzcuJFPfvKTuFxj8+PAyZMnee211+ju7k7X4vOxYMESiosqcVleDNvFsZ39DKSySTkOb9l9JLMTfP/GWkqD546cdFsGt83I47YZeWNSr4iIiIycwkQREREREdIj6erq6jhw4AAnT548K8AzDTduVz6W6ccyvVimH7crB7eVg8sKkkwNEE92Ekt0kkj2YdsDJO0ItpMkkUgMjmK8FF63D7fpw+2aQtA/E5eVHr3X6yRpssM0O3H6nRRhkliGTTkB5pkBCv3Tgelk+SGe1UtL9yY6Ozt58803ue666y6ppg/q6+vj9ddf5/jx4wD4/X5mz1iE0V1MZ0MBnQ3vO9nIpt9J8VKqh1UzA3xh+RTc1vha21FERETOpTBRRERERK44qVSKZDJJPB6nsbGRuro66uvrB9fyA/C6iwl4p+D3lOFxFQAGMRxi2ESx6XBS9DpJBpwIOZaHEquaYt90PMZ7gZhtJ0jaYVJ2mFQqgu0kcLBxnNR7v7DBSWGYHizDg2l6MA0vpunBMryYphfL9GG8r90eJ8mRVD8NTpjqfINF1QXcXZJHSdBNns+FYRiciHh45OV9vNFjUW16qTC8FFk5FOWsobXnJXbt2sXUqVOprq6+5M/TcRz27dvH66+/TjKZxDAMptfMwxuppbctPZ3adhwGsEnhkMSh00mwmz7+y7UVXDs155JrEBERkctDYaKIiIiITEi2bdPb20tXVxfd3d2DaxqemRps2/ZZ5yaT6VGCqVTqrGPvZ5l+gr7pBP3Tcaxsmpw4B5w4SVopyLIJ+l0E/R7yg37m5mdRHvRQnOWmsS/OwZZ+Dp9qpS1kE0268RhuglhkmS6CZj5Z7iI8GLgwcL/7X3OITVuSjkMCmwQOYRziOEScOFEnRcSxaXJiTClwuGNeKSurKvEMMZrPMAyun1HEzKzZNPRG2X46xO76Tl7utvmop5xs/yz6I0d4/vnnefDBB/H7z50mPVIDAwO8+OKL1NfXA1BSXE6ROZdIuIowkHBsDjkR9tsDhEnhMg3cJkzN9/K319RSmXN5N4QRERGRS6MwUURERETGPcdx6OjooK6ujo6OjsFpw8OFghfC7coj4J1ClncKHlchTU6c/fYAZTktrJhbwWdKCykMuD+0jTnFfuYU+2FhyWC9obhN+0CC9oEEbQMJOnrD9ETiRBMpIokU0YRNLOmQSEHKNrBM8LjA7zXxu10EfC4CPg8Bj5sitxu/20uWx2JhaYB8/8gf46tyvFTN83LvvEIG4in++vGjXJW9gmi8hYGBPl599VXuuOOOC/7cOjs7OXToEPv37ycajWJZFlML52GzhAgGScdhrzPAfjvEyuog355XzYxC3wW/j4iIiIwvChNFREREZFxyHIf29naOHj3KsWPHhtwR2MDC7cpN/7JysExfelqw4T1rWjCYGIaFabgwDBeGYaX/i4kNNDlxDjpRXGYja+YX89DMqQQ91kXXbhgG2V6LbK9FbcGZAK3gotsbLVkeiwfXlvP0KyFm5F5LU9dGjhw5wuLFiykvLx9RG3V1dbz55pt0dHQMvpaXU0CeawWOUYYBHLUjvG33sWZ6Nv+8YDolwQ8PY0VERGTiUJgoIiIiIuPGhwWIBhZ+bwU+d8lggOgyg4Sx6XWSdJEiik3MsYmlVybEePdKB4cU4DgJDGIYtoNh2JjY5PtTrJhTyqdqKim4gBF/E9WCily2l7cSaS0g6J9BKHKM119/nfvvvx9jiGnX79fQ0MAzzzyDbduYpkllRTVZdgnR5CwMw6THSfJqqpdpZRZ/u6KGqlzvZborERERuVwm/9OSiIiIiIxrjuPQ1tY2GCD29fUNHksHiJVk+aYS8FTRZjiccOL02wlcRogcXw/lhX5qS/KpyMsm22cR9FhkuU0s08B2HM5syuy2hl6j8Er0metn8O3HDrE8sJiBSD0tLS0cO3aMmTNnDntNR0fHYJBYWlBNvnsRsUQBMcDBYY8dosHq5/fXVrO4LOvy3YyIiIhcVgoTRUREROSycxyH1tZWjh07NkyAWPVugFhJn2FwyI5gudu4en4xH60soTToxjJHEgwqPByKxzJ5+JYanny+h+Ks+fQM7GbLli1MmzYNl+vcHxFCoRAbNmwgHo/jdxfhd11HDIuU43DaifGOPcCKWi9/vGI2fve5G8KIiIjI5KEwUURERERGTTQapaOjg0gkQjgcJh6P4/F4Bn/19PTQ1NREc3Mz0Wh08DoDF4F3RyD6PBW0G7DfjuKyWlk4PZevzS6jJDglg3c2+UwvChDIriOLufRHjtDX18fevXtZunTpWecNDAywYcMGQqEQHitIcd7N9OKwK9XDaSfKnCIPf7C4jEUajSgiInJFUJgoIiIiImdJJBK0tbXR3t5Of38/oVCIUCiU3lQkO5vc3Fxyc3Oprq4mKytr8Jp33nmHHTt2kEgkRvQ+7wWINXg8FbRgc8wOkxdoY/mcMh6YWkGur3osb/WK98BNs/jXJ5upCS6ho+9Ntm7dSnZ2NtOnT8cwDNra2nj66acJhUK4TC8l+bcSNVzsMNq4a1U5V03JJsd78RvViIiIyMSjMFFERETkCmfbNk1NTZw4cYKGhga6urpwziw0eB6lpaVUVVVx6NBhBgZCAFhmFi4rK72zsuHGcZLYThzbTmBZAXzuYrzuEkxXHqdJcswJU57Xwap5FXyxshivS9NkL5fCgJuaiihWcw0e1xHi8U42btxIRUUFM2bM4I033iCZTOJzBSnKvQXbzOINu42/+NgM7dAsIiJyhVKYKCIiInIFchyHpqYmDhw4wIkTJ4jFYmcdt0w/XnchLisHlxnAZWXh4JBMhUimQsQSncSTnbS2ttLa2vruNVkUBJeS8E5hAJswNnEcXBh4MfAYJiEnRZ0Tx20NUFXczY3zKplfUjbC9Q9lLNy7ZgZ//1gdiwtuoye0h1D0EE1NTTQ1NQGQ7S0hP+cmHMPNa6l2/vDOqQoSRURErmAKE0VEREQmCcdxCIVCdHV10dvbS3Z2NlOmTDlrQ42enh6OHTvG/v0H6O3tGXzdNLwEvFUEvFW4XEX0WG46nAT9TgrHieE2E9iOQdKVS8B0U4ybSjtJNH6aaKIVr6sQxz+D/U4vV82NM7sohxyvRZbbIpq0GUjYhOMpCvwuagt8Gn04jvjdJivnuGk7AgXZy8kJzCYS205nqJFc3wzyslcRA15LdfJfbq5gWoE/0yWLiIhIBilMFBEREZnA+vr62LdvH8ePH+f06dMkk8mzjrssF9VTqwkGg5w8eZLe3t7BY4bhIstbQ9BfS58rjwYnjmX1UlXYy+yaYj5aWkxxlhvX+0YN2o5DVyTJ0ZY+tu1vo6WviELfFPqcGIunDfCXK2fgsRQUTjS3LZnCN48foCiZx1wzi+zAjQT9NoZh0uUkeMPu4HdumsKCsmCmSxUREZEMU5goIiIiMkGkUikaGhpob2+no6ODjo5Ouru7PnCWgdvKwWUFiSe7SabCnDhx4n3HTXyeEoK+aSQ9VZwgRq6/l+VzDT5VW0nQ8+EbnpiGQVHATVFtIdfUFpJIOdT3RCkLesjWRhwTlmUafPvjc/jl201sON7OVVYe5YaHOjtKnauLb390BmXZnkyXKSIiIuOAwkQRERGRca6jo4MDBw5w8OAhYrHoOce9riIC3ircnkr6XVn04dDvJCnARWkqTCx+GtuO4vOUk3AX02jYtBrdrJqd5L4FUwi4ay66NrdlMLNQ014ngyyPxRevnsKtc2P8++v1vNxrsKzY5Hs3zcGnaekiIiLyLoWJIiIiIuOQ4zicPHmS7dt30NzcNPi6Zfrxe8pxu/LwuPKIW7mcNk3anB6ml8dZWJNPVUEWpUE3xzvCvLm7i7qOMmzHTY43xMLpCW6fWU5JsDKDdyfjWXWul29/dBZ9sRS5Pv24ICIiImfT04GIiIjIOOI4DsePH+ett7bS1dX57qsmAe8UsnzTaXPnU+dE8ZphCrJSLJzt584peRQFzg0H55QGmXPb/Mt7AzIpGIahIFFERESGpCcEERERkXEiGo3y0osvc+z4USC9QUqOfxa2fyYnSVGR289HVuYyo6QCwzAwDIPy8nKam5txHCfD1YuIiIjIlUBhooiIiMg40NDQwLO/eZZwNAwY5GYtIOKbwUmjn2vnwWcW1miXZBERERHJOIWJIiIiIhm2b98+XnrpJQBcVjaBnGtotBLccZWXpbVVGIaR4QpFRERERNIUJoqIiIhcpJ6eHg4dOsTx43UEAgHmzJlFbW0tXq93xG3U1dXx0ksvAxD0zaAnax5TpsT47esWYCpEFBEREZFxRmGiiIiIyAUIh8McPXqUA/sP0d7ROvh6Zyc0NJzENC1mzZrFTTfdiMv14Y9ara2tPPP0RsAhy1dLS2AqD91WQHVxzhjfhYiIiIjIxVGYKCIiIhNOMpkkGo0SjUaJRCKDv3cch1mzZuHz+Ub1/Wzb5sSJE+zbu5+GhlM4nNnsxMDvKSfgrSFlDzAQrSOR6uPQoYN4TDdrb1k7bJu9vb38+oknsZ0UPk85XYFp/OEn5+B3W6Nau4iIiIjIaFKYKCIiIuOK4ziEw2H6+/sZGBh49/chOtu76Onqon+gn6SdHPb6bW9u51Of+STBYPCSa4nFYuzfv5+3d+4iHBkYfN3jKiTLN41+bwUtxJlaHKO3301fdC0ViU76+7aw58Be5i6cS2lp6TntJhIJfv3YOhLJGB5XPn1ZC/jyPbUKEkVERERk3FOYKCIiIhlh2zbd3d10dXXR1dVNe0s73Z2d9IVDpD4kLHyPgWl4sUwvppn+byzRSTg2wM8e+QWfevABcnNzR1xPIpHg7bd3cfTIMWKxKIlEnEQiMTgK0TS8ZPtnkvBNpdkw8OQNcMuKAmaWZA9ukBJN2qx7MUwyNpVI7CTPrP8Nn/viZ7Gss0PC5za9QH+4D8v0E81exafvKCMvOPJ1FkVEREREMkVhooiIiFw2juPQ3t7O/j37OXzkCPFkbJgzDSwzgMvyY5npX6YVJG5lETEDRA03GAYYSSwjhduVwuuGRJ+Dp387sUQ/v/jZr3jgU/dRUFDwoTXZts2BAwfYsvkNYvHoOcfdVi5ZgTm0esow/L2sWZ7Pwin5WOa5m6P4XCafvG0u//unScx4C6FoH29u2cq1168ePGff3v0crzuavsfsq7jl+nwqi0ceeoqIiIiIZJLCRBERERlzsViM/fv2887OdwhFQ4OvG4YLjysPt5WDaeUQt4KErQAJ08JtpTDcKTxeg6wsF6Ul2VSU5lGe7SHLYw6OBny/7oEYP/o1+Pp2Ek/28ugvn+BLX/nCsBuhRKNRHvvl43T3dQHgsoIEAwtJuIKkDBdJXHRjU1gR58vXVJDnn3reezUNg3tvncLG30SJ9b/F2+/sJDc/m8rKShzH4eVX3t25OWshlbUeZk8tuZiPVEREREQkIxQmioiIyJjp7+/n9Zdf4/jJOhzHBsDAIuCtIuGrJuz24/Xb5Ba4KS/Po6o0h/KgG7dlXtT75Wd5+eJ9s/mPJ8DT8ybxZIStm7eyZu2ac85NpVL8+tF1dPd1YRoesrMW0uwpoXq6QUVFIT6/h4DbojLHi9s6N7j8MFPK8iks89MVqyQab+Tll18+67jPXU40mM9t186+qPsUEREREckUhYkiIiITWDKZJB6PEwgEMl3KOQ7sP8hLL72M7aTXP3S78vD4ZtDtKaCk3OC6FVOpyB3dXZcBcvxuvvLAHH78SBcMvMOuvXtZtWYVbrd78BzHcdj09CY6etoxDBfkXkdOtYtPXTsdr+vigswPuvf2BfzTzywK3YVE463EEh04pLDMAKHgfL56z6whR1eKiIiIiIxnChNFRETGOcdxiEQi9PX1EY/HicViNJw4ybHDx+ka6MHBxmP5qCgqZvq8WcyeO3vYab2XQzQa5Tfrf0NDawOQ3vk4GVyEk2WyalUlC6pyxzxEy/K4mD6tiOMHgiTtEJtf3MyNd9w4ePytzW9x/ORxwMCdfQ23rC1jRnXhqNZgmQaf/mg1P3shQX9iKvmGh/xUmB7Dxb035hDw6jFMRERERCYePcWKiIhcoFQqRVtbG831DeQUFVBcUkxOTs4lBWS2bdPb20tvby893T10trbT3d5F78AAkUQE20l96PXxVJT61gbqWxs4sOsI9//2vRddy6VobWll3RPriaeigEEgsAC7sJjP3jGbXL/7vNePplvWzuVYfReE3mbf0UOsvnE1lmWx9a1t7Ny1AwB/cBmLlhWMepB4RllBkD9+YDG249DQE+VwXZyrSnKZVvnhm8KIiIiIiIxXChNFRETOIxaL0dTYSN3+o5xqbqM/2ofD2eGegUleII+bbl9L5ZSqYduybZv+/n66u7tpb2yhramFtu4eQrHQ4JqCwzGwMAw3punCbeWS8pQSd2djuVykYhF88Tai0WO09rZh2zamOTrTdUdq3+59vPzqKzjYuKxsksFlLFxZzFXzKi5rHWdYpsH82aUcfCeXRKqXZ57cSG9/L/3hPgAC/jmU1RZx1aLzb6pyqUzDYGq+n6n508b8vURERERExpLCRBERkQ/o6enh1LE6Thw+QWtvD7HkwDnnmIYHj6sA24mRSPbiYNMd7uKJdb+mMFjENWuvpqe9i8a6Btp7e4kl46Ts5OD6gUMxsHC7cnBZ2VhmkITlJ2b6cCwPXr8Hy3RwWeB2Q2lpFsvmlVPgT/9VbjsOOw82s/XFU9hOjAM797Ng5cJR+0ySySS7395N46kGTMPEsExM08K0TEzLItTXT0NLelqzz1NBLG82n7tnLrm+zD5qXL96BvsPt0NoB6ffnXZtmj4CwRW4Cj3ctVYboIiIiIiIXAiFiSIiIqTDsn073mH7rr1EEv3nHHdZ2bhdRcTd+RjeAKVFWUyfU0JXR4iW5gF6esK4wk1Eo3V0hjp4+umnP+TdTNxWDm5XDrYVJGHlkLICWF43gYBDUaGX8in5VBVkURhwYZkm5eXlNDc34zjO0C0aBivnVbDj9XLs2Ene3nt0VMJE27bZv28/W15/g3gqdt7z/YH55Eyp5P7bZmOOg81FTMNg2cIy9uwoIZZoI8s7je7AbJYvzeKaBZWZLk9EREREZMJRmCgZ4TgO9UfqOXjgFG3dfUTjUaZVlHP7x67NdGkicoVwHIfe3l5OHauj7kgdDZ2t2E7i3aMmXnchjruQpJWDL+CnqiqbOXNLqc4PnB2STc0f/O3Rxlqef6UCV+g0yUQ7LlcOjiufuBUEy41pmlguFz6fi8JCDxWVeVQWZ1Oc5cYyRyd4y8rKoyd2kr5wB47jXNI6jr29vTz+yycYiIUAsMwAPv8MMCxwHAwcwAHHBhzC7gIWLSvmqoXDT/POhKtXTGP70TCO7cPOjvLVO2oJavMTEREREZGLoidpuWwajjWwfcdhOnp7iCe6se3IWcePnurlxvgqPB5PhiqcOJKJBM3HT9Hc0kU0miAeTxBPpIgnkiRSKZLJFH6fh+qKQmbOn0YwP3/Md04VGSvJZJLGUw201p9m1pIF5BXkn/+iDxEOh9n87KscPX2SlBM/65hlBjD90/HnFjJ/YSlza4oIeq0Rtz2zMo+Zn1nG/vqpHDnRTVllDrOm5FPgd122/weXL5/OSy/sx7ajHN13lFkLZ11UOwMDA/zip48RT4UxDQ/ewDxiwUJWrKnC6/VgOw4p2yFl29gpGzuVYkZZDnkZntY8FMMw+J1PzmMgYY/L+kREREREJhI9UcuYCfWGePXFnTR3dBFL9JBKfXDaoInlysGysknEW7HtMK8+t4Nb71qdkXrHI9u2OXnwOAcPn6atu49IPEwqFcG2B4ChpzoO6oVTrbB51xYsM4v7772LksrSy1K3yKVKJBLsen0r+4/WEYql1yME2Lp/LyvmLeTqm6694HCut6ebF556icbuZni3PQMTj7sQx1VA0pXL1GmF3LSmloB75AHiUObXFDK/Zmx2Bz6feXMqee3VchLxBrbvPHBRYWI0GuXnP/kV8VQYy8wilbeS69ZOYU7VpQW5meS2TPKsy7shjYiIiIjIZKQwUUZNLBajramDfbuPc6q1lXi8HeesjQYMLFc+Hk8uZUWFXHXNHEpKCwD44Q+fJBo9xYnGpswUP850NLfx/PM76OpvHSKETTOwME0/GBaGYYHhwsBMTz80TBw7jpMKkbIHSNkDvPbaHu779K2X+U5kskgkEpw4cJg9u4/QGw5jYGAaBpZpsnBOLUuuXTkqI+862zt4/bnXaehqPuv7h2X6MA0viVQv2/fv4vDxk/zWpz5Gdk7Oedt0HIc3X9rMzgN7B9t0uwqx/TWUlBZSO6uI2VPyL2gE4nhmGAb+QD6JeAPdoQuf6hyPx/n5j39FJBHCMn04ecv4nU8vwK0gTkREREREUJgo71N35BS73zlOPJkklbJJpVLYto3t2O/917GxHQcHG8dJvfsrmQ6unHMX5rfMLNyeIgrz8lixcg5Tpw09Mm72tCp2HzxFPNZKZ3sXhcUFY327404qleLNF7ez/8QpYvE2zoycAhOXKw/TCuL3BcjPzaaysojpc6aQl+370DbjyRQ//tFviIRP0NnXO+b3IJNLJBJh9+bt7Dt+inC8h/f65Nle39XG9r0Hue3G1dTMnXnWsXg8zu4t29l/9CRJO4VpGOmwy+1h3txpzFw8H6/Xy5E9+3lj6zuEYt2D17qsbPBNxe3PpWZaAcGgl3e2HiIRPkBftIuf/ORRvvSlh/D6hv//oKe7m3WPPk3/u+26XUUQnMHKFVNYPrds0k7/X7JoKq+/th/bDnPyaD01s6aN6LpYLMYvfvIrQrFeTMODnbOCL31ykYJEEREREREZpDDxCnfyeCObt+yjN9RJMtkxCi0aWGYAt7eY6dUVXHfjYjwe93mvWnPjEvYd2Usq1c+Lz+/kgQfH5wg627bpON3CybpmQgNRorEEsUSSKZWFLL1mMaZ54T9wtzY08cKLO+kOtb07fTnN5conmFXG9Tcspqam5KLq9bgsqooLOHryBIlEN7ZtX1SNcuU4E/7tPVJPKNbF+6fTW2YA01OG4QriYKSPpWIkI8eIJnvZ8Pxv8L68Ba/Lg9flIp5K0RvpAlLnvE9/FNq2NfPKtjcwDff7Nj4Br6cS21fBgkWVrF4y5ayNSRbNKuFX63KIdLxDyg6z/tFneeC3Pz7kvdQfOsbTz7+A7cQxsLCy5rHqqtksX1AxWh/XuLVocQ1vvlVGIt7IW2/tG1GYGIlE+PmPf8lAvB/TcEPOSj5//wL8lzjlW0REREREJpdxESY+++yzbNiwgZ6eHqqqqvj85z/P3LlzM13WpGXbNptffJsDJ+qJx1p4/2gjy8rDNL1gmBiGCZgYZvr3hmHiMg1cponLMvG6XPi9Lvw+Dzk5WRSV5FNcUYQ/68NHyw3F5XKRFSilr7+fjp720bvZi5RMJNjy4g6a23sYiEaJJ2PYdoRUKsxQwcipFnhz1y5yAkWsXjWXGQtmntvo+9tPJvn1TzfwzuFjxBPtnAlsDMONx1vB9KnV3HDzItyuS/8hftWa+Rw9+Ta2HeHQ7mPMW3pxmzHI5OU4Dgd37GHrrv30R7t4//cEt5WH460gOzef+QurWDizBLf1XriXSDk8vamC1sZ64tE6Ysk+Ysmz23dZOeCtwrC8OE56918jFYF4G4lUD7aTwDQ8uHzT8OWVcNMNM6guyR6y1iyvi4c/tYL//MkAoZ7dtPQ00HzyNOVTz949+MDOvby45TUcUrhdBfgK5/HAPYvIukJ28DUNA6+/gES8kc7+839P7e/v5xePPEo0OYBpeHFyV/HQb80l268NsURERERE5GwZ/6nqjTfe4Ec/+hFf+tKXmD17Ni+88AJ/8zd/ww9+8AOKiooyXd6k0NnWyZbX9tLVFyKWiJFM9pNK9Q0ed7nyCQaKWLlsNnMX1WaszqtXzuG5l46RTHZwaPcx5iyecdlr6OvuY+PTb9DR24Rth4Y5Kz360jDdgAsMg1SiC9sO0RMKsfGleqxX36Qwp4gbr19CbnEeAz299HT2sffASVq7u4knunDeNxLL5SoiO7uUG29cQlXV6G7aUFiUi8tdSDLRzp79dQoTh2HbNo7jYFkTfxRWJBIhlUrhcrmwLAuXa/idhOsOHOb5V7cSTfQMvuaycsBTQXZuIVetns7Mytxhr3dbBvd+dCG94Vls+M1+BvrD2HYS7HSi6A3ksmLFVBbOLMZ8XxtJ2+FAXRd795wmFIpQVVXAzdfNwOca2cjZT9y7kl/8tJVEooWnfvMqX/4vDw7WuOPVbbyxextg43aXMX/pcq6/evqI2p1MFsydwltv7SOVCtHe0kZx2dAjnJPJJD//ya+IpcJYZgA7dzlfeGAhwSskeBURERERkQuT8Z8Unn76aW666SZuvvlmAD7/+c+ze/dunnvuOR588MEMVzexJZNJ1j/xKs1tx7Gd6AeOmni9FcyfWcO1Ny3LSH0fNGdBLS+9Xkwy0c6bOw9d1jAxmUzy6M+fo7P35GDIZxgeXO5CLMuHz+MjNydAWVkBtTOrKCoMnhWunG5o59XX9tLb104y0UYq1UNbdw+/Wn9s2Pc0DS9uXyWzp0/h2hsW4BrDEMvnySGUaKcn1Hf+k68gbQ2n2fHWPho7u4gmegGHu269g2lzMheqXyjbtmk7fZr9bx+ioa2LgXg/KTty1jmG4SE/UMiqZXOZvmguHS0tHNh5gONNLYTj6bUEDUxc/ulk5RSxYlUtc2sKLmg9wdyAl8/+1si/l7hMg0XTC1k0/eLC87zsAJXVM6g/3kY03sm2V7ZRNa2Cl1/cQtdAGwAe7xRWrV7JsoVV52ltclq2vJYdOwpJJjvY/sZePvKJm4c877VNrxFLhTFNHxQs58v3L8Knqc0iIiIiIjKMjIaJyWSSEydOcM8995z1+qJFizh8+PCQ1yQSCRKJ90Z0GYaB3+8f/P14c6ami61t4/rNnGxqJj87j5UrZjJ9Ts2Irtu9/QCbt+8imUivg2iZQSx3Hl63j5xggFUrZ1NdO/7WDSvKK6GlvZ2BcNvgyKqxdvLoKZ5+7vXBNSMtK0h2sIrbbl9BefnIgo4p1SU89FD6B/X9e+vZtvMw4YF2ksnOd88wMA03ppWN25NPZVkx9/zWjSQT4XenfY6tKeXFHDx2nGSi67J9ruNZw9ETbHrxLcKxc6d/vvbGPmrnZm4U20i+Z4QHQrz89Kuc7uwiluz7wK7pgy1xZvq848TpGmhm0+vN8PrLvH8dRDDw+KZRUlnN3XcswDMKU+svl7s/uoz/82+tJCJH2bp3B1v3vrcEgcc3nZtuXcXs2otbb3S8uZi/S9wuC8udTzLZQVN755DXxmIxDtQdBcD0z+K/fHopLnP8/V0qw7vU5wyZvNQ3ZCjqFzIc9Q0ZivqFDCejiUJfXx+2bZObm3vW67m5ufT09Ax5zbp163j88ccH/zxt2jT+7u/+juLi4rEs9ZKVlZVd1HWnW9uJx5to7Wzi6WcPYL2QS252Kb/zO/eTnTv0mmI/+fcnOXhsOw4pDCxycmr53d+5j9z83CHPH08efPBOfvC/DmHbIZrq27nqurEdNfmTf3ucgyf24Ly7QUNB4Vy+9rX7CAQufN3HM8rLy7nltmuwbZv9+07icrsoKM4jLzeA95zRPjmXdgMjdM9v3cShv9uO7cSoP3Sa62695rK873hzYv9hfvH4M/RH2gZfc7tLMT0FGNhEBw4TinRQVpb5XX6H+p7RVH+SX/3iadp6m3Det3anYbhxu4vAlUsgmMv0aZXkFGQTDceIRmOcONFEuL+dVOx0ejMSw4XbXYzjyqe4tJQvfO5Gsn0Tc228u+5Yw4b1jaTsMOlgdCrenCo++6k1VFfkZ7q8UXehf5eUlRRx8uRRIvEuSktLz9mA6Sf/+lNsJ4bLyua2m5cypXL8/SOTjMzFPmfI5Ke+IUNRv5DhqG/IUNQv5IPGxfCkoX5oH+4H+XvvvZe77rrrnPPa29tJJocanZNZhmFQVlZGS0vLRY1AmzdzKoePW0RiPaSS3aRSvXT19PK33/8nZlTP5o6PrTnr/F/+9FlaOw8DDi53MddftYKFy2cRjoYJN4dH6a7Glmn5SaVCHDlykuoZ5WP2Pr/66W9o6TwCgMtVwIoly7hqzXx6e7vp7R2d9ygqToeSdiJEV8d7azBear+4GC53IYlEG2/tPMCMBTWX5T3Hi/qDx3j+1W1njUT0eKdQUlbNXR9dgtft4mRdK09uOEoqFeLFp19k/or5Gal1qL4R6u3jycc20TnQwplRhS5XHqavkrycHGbOrWL+7NJhd929/upqUrbDzr2NnDjeSmVVEYsWVpDrT++0HuruZLgVQse76upc8suX0N3TT15BAXfeNofCoA+I0tzcnOnyRs3Ffs9YvGgqp05tx3HivPnKG2eNuh0YGOBg/SEAzMB0Zk7Lm1Sf2ZUiE3+fyMSgviFDUb+Q4ahvyFDUL64sLpdrxAP1Mhom5uTkYJrmOaMQe3t7zxmteIbb7cbtdg95bDx3bsdxLqq+NWuXsmbtUgBO1zXz+pZ9dPbUkUr1c7huByf+vwZ83iyCfi/9AxFC4XoAvN4qPvvQHQSyAuP6cxmKYfogFaKnNzRmtf/iJxtp70mvZ+j11fDgp24hO+fyf1YX2y8uhs+XSyLRRl+4b8L1iYsVj0X52Y+foj/6XkDi8U6hsHgKd921BL8n/S3QcRyqa0pwe0pJxJvZvvsY85bPy1TZgzWlUileWP8Ch08fH1zL0+Mpx5ddxS23zKOqNPeca4ZjGrByUSUrF1WO6PyJ5MHfWnHWnyfLfQ3lQr9nTK0pxuUuJhFvZufbh89aD3TTuudxnCRuVz5rr501qT+3K8Hl/PtEJhb1DRmK+oUMR31DhqJ+IR+U0TDR5XJRW1vLnj17WLVq1eDre/bsYeXKlRmsbHyqmlbOp6eV09LYzlMb3yASOUUi0UoiAf3vG1aUFajltz9/B+4Jui6eaaanWw5E42PS/k9/9DRdfScA8Aem8/nP3z5hP6sLMa2qhD0Hj5JMdJGIx3F7Jua01pHq7ezm5796mkQyvcGI2zuF0rJq7rxz8WCI+EG52YV0dDYTinTiOE5Gpzp3tbbxq8c3Ek+mh8m6XPlk5c/kno8vJTfgzVhdMrEYhoHLk0si3kxHb/fg6709PZzubADAyprGnJmauiIiIiIiIiOT8QTlrrvu4p//+Z+pra1l1qxZvPDCC3R0dHDrrbdmurRxq6yymC9/+eNs27yX/UdOEk8kSNkxHCdBfk4ZDz40sT87l+UhDsQSox8mPvqzZweDxEDWTL7w+duwxnAX5fFk1ZoF7D20DcdJsPPN/Vx9w9JMlzRmTh87xfpNL5CyQxiGm6KSRdz3W1fjPs/mImtWL2D9UwdIpfo5+PYh5i2fe5kqPtuWF17j6RdfwHHimIYHV9Zsbr1lEdOrL27nY7myVZQUcDwE8UQ38Xgcj8fDhic2ATZudzG335zZUbgiIiIiIjKxZDxMXL16Nf39/TzxxBN0d3czZcoU/vRP/3Tcb6gyHqy6diGrrl2Y6TJGndftJgykUqMbJu56cy8tneldSwNZM3j4C7efsxnBZBYIeNPrJsZbOFrXNGnDxKN7DvPsq69gOzEsM0Dt9GXceefINvKZOu29qc47dh+97GGi4zg89ehG6lqOAw4uVz5Tpi3mrjsWZnxDGJm4Vl0zm7r6Xdh2hP079+Pze+geaAMMvLm1TK0qyHSJIiIiIiIygWQ8TAS4/fbbuf322zNdhowTQb+f7l6w7dELE/u6+njj7e2kR+KU8dufvfWKChLP8HuzScRbGIhFMl3KmDh5+ATPvvZqendaVx7Ll1/DVVfNvKA2crIL6exspj8DU52fefxZ6lrSa3l6vDVcd/1y5s+tPM9VIh+uuDAby12MHTvF/kP19A50AODxz+S3Pr4ks8WJiIiIiMiEc+WlKTLu5edlAWDb0VFr85ePPUcqFcI0A9xx6xo8nqE38Znsgv70Wnv2KI/6HA+a6k7z1PMvYdtRLCuPtTesveAgEWDN6nmAmZ7q/M7h0S90GFtf3sqJ5vTIWW9gLp9+8DYFiTJqfL5sALr6G0jZESwzwLSZNeRmaf1NERERERG5MAoTZdwpLUtPubPtCMlk8pLb+/WvXiAaawIMZtQsYNqMKzegyctJB7WOc/FB7d6te/nPf3uCzpaO0SrrkrU3trDumWex7TCWlc3qa9Ywb371RbVVM60Mt6cEgB27jo5mmcM6ceAY2/btBBzc3hr+8L/dT16O/7K8t1wZpk8tPevPZnAut90wO0PViIiIiIjIRKYwUcad6tryd39n03L60gKryECEpvY6ALKypnPHXVdfYnUTW3FJLgB2KoJt2xd8fSwa5dXt2whFGnnyqddHu7yL0trQzKNPbiRlD2CZWaxcsYaly6ZfUpvBQB4AA7GBUajww/V0dLHxpVdwnCQudzF337WGvJzAmL+vXFlWXDMLl5X+/9/jqeQjt87VOpwiIiIiInJRFCbKuJMVDGAa6al3TadaL6mt3zy9BduOYJp+7r/vhtEob0KrnlYBgEOKztauC77+14++hG2nA7ZwtJVwaOzDtg/TXNfI4+s3kkqFsMwAixZfzaqrZl1yu0V5QQBSqfAlt3U+T/z6xcERlVetWsWUqqIxf0+58gS8HszATPzeavLKaplaqU1XRERERETk4oyLDVhEPsgw/ZCK0d7Zf9Ft2LZNc0cTAFmBSnJys0arvAkrvzAHw/DgOHFOn2yluHzkwVV7YysdvSff/ZOB48R5/jdb+fj9N41Nse/jOA67Nu9k18E6XKZJUW6QkqIctu7fnw7izCBLllzDmmtHZ/fl6qmlHK0H2x4gFovi9fpGpd0POnW0noFoCwDl5XNZvvzSRlSKfJh7P7GEQye7uHbBlbvUg4iIiIiIXDqFiTIumaaXVAr6By5+ZNhrz28jlerBwOLGG5aMXnETnGn6SaXitLf3XNB1Gza+geMkcLnycHsKiYSP09jeMjZFviuVSrH5uc3sP1FPMtU7+HpvGI43p39vWdksX76aq68evfXfZsydwkuvWjikOH7wFPOWXPpox6E89/J2wMHtKePuj60ck/cQOaM0N0DpIk2hFxERERGRS6NpzjIumaYHgEj84ncdPngiPYrO46ugZnrFqNQ1GZhmegp5T39kxNccePsgA5HTAFRVzOCqZelwLZns4MjesdmkJB6L8u8//BW7j+4mmerFwMLtq8Hjn47bXYZlBnC5Crn6qutGNUgE8Ho8mFZ6qvOpk5c21X44J4/WE353VGJl+VTcLmtM3kdERERERERkNGlkooxLHrebWAwSycRFXX/wnaMkEukQaNmCsRlVNlENBrXR2IiveXXrbs6MoLvrY1djmiabt75NMtHKlm0HmLVw5qjWmEwm+dH/fZJYogMDC0+glqWLZ7Jq5YzBc3oG4rgsk6BvbL6NmVaAVKqXzp7QmLT//LujEl2eMu786IoxeQ8RERERERGR0aYwUcYln8dLP5BKXdzIxC3b9gHgcpeycvX8Uaxs4nO5PMRiEE+O7LM9svcYiUQbYLBswXxMMz2gubiglObWVgbCraO6rmAqleJH//FrovE2wKS0bAkPPLDmnPPysjyj8n7Dcbt8JOIQjkVHve2TR94blTilQqMSRUREREREZOLQNGcZl3Ky0sGUbY989NwZnW1dRGLpBfWmlk8Z1bomA58nHcIl7ZGFiVt3HgbA5S7iqmvfC2Zvv3MVpunDdqK89Juto1bfI/+5jnCsBTAoLFo0ZJB4OQR86T6YTI1+mPj8K++NSrzjIxqVKCIiIiIiIhOHwkQZlwoLcwBw7AsPcl5+8W0cJ4ll5XDbXatGu7QJLxhIr5lojzBM7BvoBCAnWHjW6zk5AbzecgBONo/ORiyvP/cmfZH0Dty5+Qv4zIPXj0q7F6MoPxuAVOriNwEaSnd7F+Foegq+RiWKiIiIiIjIRKMwUcalyiklANhOlPAF7ujc3tMBgN9XjNulmfwfVPhuSDaSoPbw7qOkUj2Aweqr551zfGpl+uuUsgcuua5kMsmeo0cA8Pqm8dsPrb3kNi/F1JoyAGw7TGTg/JvVOI7D8T0HaDh0/EPPe+G5rYCNy5WvUYkiIiIiIiIy4ShpkXGpfEox6azbpuFEM7MXTh/RdU0NLSQS7QAsnj9t7AqcwMoqCmEf2HaUeDyGx+Md9tytb6fDPZe7mNqZVeccLynO5dCxdFuX6jfrXiGV6sUw3Ky9bjGGYVxym5di2sxKjJdcOE6SYwfrWbhi7pDntZ9u4pWXt9Pa24ZtRwCL+/z3UjF16B3E23raAPD7SzUqUURERERERCYcjUyUccnlcmGafgCam7tGfN1rr+4BHCwrn+VDjKQTqKopAwzAobGu9UPP7Q+nR3nmfmCK8xkVVemRiY6TpLez96JrigyEOdlaB0Agaxqz51ZfdFujxeNxY1rpUZynGtqHPGfvtr384tfraO4++W6QCJBi8+Y9Q55/4O2DpFK9gMlVq2aPQdUiIiIiIiIiY0thooxbppneAKOnZ+RTaLv60+FXVqBoTGqaDHw+72BQ29TUMex5B9458m7wZbD6mgVDnlNYkothpAc4NzZ8eDD5YZ58/CVsO4JlBrjrI+Nnncszn1N3X2jI42+9cwRI4XLlk5WzGG9gFgCdfUMH4FvfPgSA21PGvPlTR79gERERERERkTGmMFHGLdNM7zocipx/vTqA+qOnSSbS4djKpTPHrK7JwDTTU5s7u/uHPWfHrvQUZ7e7hGkzyoc8x7IsTCMd+ra19lxULZ2tHXT0NQCQkzuN0rKCi2pnLHjc6XsLx86dxh2PxYjG0iMWK8um88XP38Ci2endwxOJTrraus45PxRJT3EuzC8Zy7JFRERERERExozCRBm3LCsdJsYSiRGdv+WNfQC4XIXMXzJjzOqaDIx3w8TQwPBrHfaH07s452YPPcX5g2319F/cJiwbN76J4yRwufL4xCfWXFQbYyXLlw4Tk8lzP6c3XtqJ48QxDR9rb14CwMrVc7CsXMDhtVfePuv8157biuPEME0ft96+bKxLFxERERERERkTChNl3PK402FiIhUf0fm9A+lRidlZHx5+CVjvjvqMxIf+bPftfG9tvzVr5n9oW8a7bQ2EYxdch+M49L27LmNOTiVZWb4LbmMsFRXmAGAPsVv10YZmANzeUnJzAwC4LAuPNz3FvqWr86zzjzU2vXt+Bfl5wTGrWURERERERGQsKUyUcSvgS494s+3zh4mH9x0nmewCDFZfNfSuu/KeM0FtMjn0Z7trb3ozFLe7mKnThp7ifIZluoGRjyB9v307DpBK9QMm168Zel3GTJpWm96R2bYjDPS/t25iPBYdnOJcXlJ81jW11enPKx7vGLym+VQz8Xj6/Fm1U8a8bhEREREREZGxojBRxq38nPRoL8cefiruGdt2HAbA5S5i+hxtbHE+fm86TEwNE9SGIn0ABPy5523L7UqHicnkhYeJO/ccS7fhKaV6WukFXz/WqmvLMIz0Z3V0f/3g65tffHeKs+njxnenOJ9x7dqFWGYQSPH6izuJRSOse+o5wMHlKuK6teMvNBUREREREREZKYWJMm6VlOYBYNtRksnkh57bH+kFIBjIH+uyJoXc7DNB7blTk2PR6LujPGH61LLztuXznAkmLyxMtG2bUCQ9xTk/d3xOTXe7XJhWFgANje/tfH3szBRnTynZ736WZ3g9btye9GjFU61t/PTHG0imejENL3PnLsRlWZepehEREREREZHRpzBRxq3qmvQUU8dJ0t3eM+x5A/1hUol0+DV3RtXlKG3CKypMjzi07XN3yt6xZR+Ok8Q0vKxcPe+8bQUD6XUObWdka1ue8faWPdj2AAYWN9yw6IKuvZwsKx0Wdvel102MR6PE3p2yXFk69K7MlWXpMDEaa2Yg1goYFJUu5MYbF459wSIiIiIiIiJjSGGijFt5hTmDU0wb6luGPe/N13fjkMI0fSy9as7lKm9Cq6pJh2COk6C3u/esY8dOtQJguQvwvjsd+sPk56VH7o1kOvr77TlcD4DLU0Z5RdEFXXs5uV3psDQaT4/ifO2F7ThOAtP0D+7i/EE33LQI03hvMxl/9nw+ef81Y16riIiIiIiIyFhTmCjjmmmmA5n2jr5hzznVnJ5+6nIX4nK5LktdE11xaQGGkf6sGurODmrD0XenjPtzRtRWSWl6arltR0mOcBOWVCpFOJoe3VecP36DRIBgwA9AIhniiZ8+xaH6Q0B6inMw6B/6mmAAtze9EYvHV8tvf+Y6DMO4PAWLiIiIiIiIjCGFiTKuGWZ6R+fe/vCw50Ri6fArP3j+zUIkzbIsTDMdhLW2dg2+HhkIk0h0AzBreuWI2qqaembjFIe2xs4RXbP11V3YdgTDcLP25sUjLzwDSorS/SqV6qGxqw7bjmCaPubNrv3Q6+68czWlldfwwAM34fW4L0epIiIiIiIiImNOw7hkXLNMD0lgIDr0FNr25g5SyXT4tXjhh4c7cjbD9EGqn57e94LarZv3wJkp46tmj6idQDCAaXixnRjNje1U1Jx/05aDxxuA9Oi+oqK8iyn/spk9r5r9h7ZjO3Hc7iLc/nKuuXo28+dUfOh11VMKqZ4yPjeWEREREREREblYChNlXPO6fcRiEE+cu+swwNY39wMOlpXNnEUKEy+EaabXQxyIvvfZ1jempx673IV4LmA0XTqYjNHZNfx09PeLxNKjIUsKx/cUZ4CKymLmLbiOgXCCtTfNI9t//nUkRURERERERCYrhYkyruUFs+gLQSo19DTn5s70qES3O/9yljUpuCw3cSCeeG8X5nA0HQZmB0a2XuIZhumFFPSFzt0d+oOaG5qx7fTOyKtWTYwNc266cX6mSxAREREREREZF7RmooxrVZXpkWupVIhkMnnO8Xi8B4Di/LzLWNXk4HWnR9glU+lNU0K9IZLvThmfM6vqgtoyzfQoxnA0fp4z4Z2dxwCwrByqqksu6H1EREREREREJLMUJsq4NmfhNMDAcRI0nGg661jd4ZOkUumRdKtWzc1AdRNb0J/e3Ma209Oc0+sl2phmgEXLZ15QWy4rHSbGk+ffzbmlswcAy3Vhox9FREREREREJPMUJsq4FszJwrKCABw72njWsZ1vHwXAcuVTObijsIxUXl76c02lQvzkP5/kyMk6AFzuAtyuC1sBweNKh4kp+/xhYjQeAiDLH7yg9xARERERERGRzFOYKOOeaWUB0PaBzT06+3oB8HryLndJk0LVlPQUY8eJ0xM6RSLZCUBuMPeC2wr40qMcU/aHT3NOJpMkkz0ATK0c/5uviIiIiIiIiMjZtAGLjHtul49EHMLRszf3SCTS6/tVlhRkoqwJb+bcqby5cyHhyMDga5bp5iN3XXPBbWUHfdAGznnCxMO7j+E4CQwslq6cGJuviIiIiIiIiMh7FCbKuBf0+wmHIZF8L0w8euAEth0GDFZdPS9zxU1wv/3QjaPSTkFBLpwA245+6HmHjp4GwHLlkZ0TGJX3FhEREREREZHLR9OcZdwrLc4DwE69N4Ju7956IB1KFZbkZ6Aqeb+KykIgPWV6oH9g2PO6+voBcLmzL0tdIiIiIiIiIjK6FCbKuDdr9hQAbDtMd3t6anNnX3r9RI9CqXGhpLKIM99OGk+1DHtePJkOE/OD+rqJiIiIiIiITEQKE2Xcq5xahmmkN/g4tL8egHg8HSYW5Fz4ZiEy+twuF6bpA6CtpWfIc8L9A6SS6U1zZs+qvFyliYiIiIiIiMgoUpgoE4JpBQFoaummu72bVCodSi2cPzWTZcn7mGY68O3uDQ15fNf2g4CDafqYu7j2MlYmIiIiIiIiIqNFYaJMCJaV3qyjd2CAHVvPhFIBZs6fltnCZJDxbpgYGhh6E5b6hnYgvc6l26W9n0REREREREQmIoWJMiH4vekptPFElNNtXQC4XHkYhpHJsuR9LNMNQDSRGPJ4fyQ9YtHrDl62mkRERERERERkdClMlAmhMDcdQKVSYaKxdCgVDGgTj/HEZaXDxERy6DAxmUyvc1lamHe5ShIRERERERGRUaYwUSaEmpoyAFKpfpLJ9I7OtdWlmSxJPsDr8QCQsuPnHGtpaMG2BwBYvHT6Za1LREREREREREaPwkSZEGbMq8bAAmwcJ4FhuFh61dxMlyXvk+VPr5no2OeOTNzzzjEALCubqqkKgUVEREREREQmKoWJMiF4vd7BHZ0BLFc+/nfDKxkf8nKzALDtczdgaelI775tWTmXtSYRERERERERGV0KE2XCOLOjM4DPo/USx5vi4lwgHSYmk8mzjoVjYQC8Hv9lr0tERERERERERo/CRJkwPO73gqjyovwMViJDqRhcw9Kmu737rGOpVHrTnKJ8jUwUERERERERmcgUJsqEkZP13sjEZStnZ7ASGUp+QQ6Gkd6Epf540+DrfT19pFL9AMyaU52R2kRERERERERkdChMlAlj/rypGFi43SWUVhRluhwZgsuVB8DRuubB1/btOgqAafqYMasyE2WJiIiIiIiIyChxZboAkZGau2g6bv/HycsNnv9kyQifN4dEoo2+gb7B1041dgBgWblYlpWp0kRERERERERkFGhkokwoM2ZWUVSSl+kyZBhT3h0xmkh0D27C0h9Ob77idgeGvU5EREREREREJgaFiSIyaq5avQDDcOE4MfbtPARAIjkAQE6WRpSKiIiIiIiITHQKE0Vk1GTnBLBcBQAcPHKaRDxOKtkLQE11SSZLExEREREREZFRoDBRREaV35sDQO9AH4f3ncAhhYHFgqUzMlyZiIiIiIiIiFwqhYkiMqqq3rdu4tFjTQBYrlwCAW8myxIRERERERGRUaAwUURG1dWrF2Bg4TgxWjrbALBcWRmuSkRERERERERGg8JEERlV2TkBLHchAIlEOkzM8ilMFBEREREREZkMFCaKyKg7s27iGRWl+RmqRERERERERERGk8JEERl1VeVFZ/15wZLpGapEREREREREREaTwkQRGXVXrZ6HgQWAZWVTUlqQ4YpEREREREREZDQoTBSRUZeTGxxcN9GysjNcjYiIiIiIiIiMFoWJIjIm8nJKAcjPLTrPmSIiIiIiIiIyUbgyXYCITE6f/NT11DcsYuqUvEyXIiIiIiIiIiKjRGGiiIwJy7KYXlOY6TJEREREREREZBRpmrOIiIiIiIiIiIiMiMJEERERERERERERGRGFiSIiIiIiIiIiIjIiChNFRERERERERERkRBQmioiIiIiIiIiIyIgoTBQREREREREREZERUZgoIiIiIiIiIiIiI6IwUUREREREREREREZEYaKIiIiIiIiIiIiMiMJEERERERERERERGRGFiSIiIiIiIiIiIjIiChNFRERERERERERkRBQmioiIiIiIiIiIyIgoTBQREREREREREZERUZgoIiIiIiIiIiIiI6IwUUREREREREREREZEYaKIiIiIiIiIiIiMiMJEERERERERERERGRGFiSIiIiIiIiIiIjIiChNFRERERERERERkRBQmioiIiIiIiIiIyIgoTBQREREREREREZERUZgoIiIiIiIiIiIiI6IwUUREREREREREREZEYaKIiIiIiIiIiIiMiMJEERERERERERERGRGFiSIiIiIiIiIiIjIiChNFRERERERERERkRFyZLmC0uFzj+1bGe32SGeoXMhz1DRmK+oUMR31DhqO+IUNRv5DhqG/IUNQvrgwX8nU2HMdxxrAWERERERERERERmSQ0zXmMRSIRvvnNbxKJRDJdiowj6hcyHPUNGYr6hQxHfUOGo74hQ1G/kOGob8hQ1C9kOAoTx5jjONTV1aEBoPJ+6hcyHPUNGYr6hQxHfUOGo74hQ1G/kOGob8hQ1C9kOAoTRUREREREREREZEQUJoqIiIiIiIiIiMiIKEwcY263m/vuuw+3253pUmQcUb+Q4ahvyFDUL2Q46hsyHPUNGYr6hQxHfUOGon4hw9FuziIiIiIiIiIiIjIiGpkoIiIiIiIiIiIiI6IwUUREREREREREREZEYaKIiIiIiIiIiIiMiMJEERERERERERERGRFXpgsY7w4cOMCGDRuoq6uju7ubr3/966xatWrw+AMPPDDkdQ899BAf+9jHBv985MgRfvGLX3Ds2DEsy6KmpoY/+7M/w+PxABAKhfi///f/smPHDgBWrFjBww8/TFZW1hjenVyK8/WNaDTKz372M7Zv305/fz8lJSXceeed3HbbbYPnJBIJHnnkEbZs2UI8HmfBggV86UtforCwcPAc9Y2JZzT6xhmO4/C9732Pd95555x21DcmltHoFz09PTzyyCPs2bOHaDRKRUUF9957L1dfffXgOeoXE8/5+kZPTw8/+9nP2LNnDwMDA8ydO5eHH36Y8vJyIP01f/TRR9m9ezednZ1kZ2ezcuVKPvWpTxEIBAbbUd+YWC61X5yhZ9DJZ926dWzbto3GxkY8Hg+zZs3ioYceoqKiYvAcx3F47LHHePHFFwmFQsycOZMvfvGLTJkyZfAcPYdOLqPVL95/rp5BJ4fR6ht6DpX308jE84jFYtTU1PDwww8PefyHP/zhWb9+53d+B8MwuOqqqwbPOXLkCH/913/N4sWL+Zu/+Ru+973vcccdd2AYxuA5//RP/0R9fT1//ud/zp//+Z9TX1/PP//zP4/5/cnFO1/f+NGPfsQ777zD7//+7/ODH/yAj370o/znf/4n27dvP+ucbdu28V//63/lO9/5DtFolL/927/Ftu3Bc9Q3Jp7R6BtnPPPMM2d9r3g/9Y2JZTT6xT//8z/T1NTEN7/5Tf7hH/6BVatW8YMf/IC6urrBc9QvJp4P6xuO4/D3f//3tLW18Sd/8id8//vfp7i4mP/xP/4H0WgUgK6uLrq6uvjsZz/LP/zDP/C1r32N3bt38y//8i9ntaW+MbFcar8APYNOVgcOHOD222/nr//6r/mLv/gLbNvmu9/97llf+/Xr1/PMM8/w8MMP873vfY+8vDy++93vEolEBs/Rc+jkMlr94gw9g04eo9U39BwqZ3FkxO6//35n69atH3rO3/3d3znf/va3z3rtz/7sz5xf/OIXw17T0NDg3H///c6RI0cGXzt8+LBz//33O42NjZdWtFwWQ/WNP/qjP3Iee+yxs177xje+MdgXBgYGnE996lPOli1bBo93dnY6DzzwgLNr1y7HcdQ3JoOL6Rtn1NXVOV/96led7u7uc9pR35jYLrZfPPTQQ86rr7561jlf+MIXnBdffNFxHPWLyeCDfaOxsdG5//77nVOnTg2+lkqlnC984QvOCy+8MGw7b7zxhvPpT3/aSSaTjuOob0x0F9sv9Ax6Zejt7XXuv/9+Z//+/Y7jOI5t286Xv/xlZ926dYPnxONx53Of+5zz3HPPOY6j59ArwcX0izP0DDq5XWzf0HOovJ9GJo6inp4edu3axU033TT4Wm9vL0ePHiU3N5e/+Iu/4Mtf/jJ/9Vd/xaFDhwbPOXLkCIFAgJkzZw6+NmvWLAKBAIcPH76s9yCjZ/bs2ezcuZOuri4cx2Hfvn00NzezZMkSAE6cOEEqlWLRokWD1xQUFFBdXc2RI0cA9Y3J6nx9A9IjUv7X//pfPPzww+Tl5Z3ThvrG5DOSfjFnzhzeeOMNQqEQtm2zZcsWEokE8+bNA9QvJqNkMgmA2+0efM00TVwu11nPEh8UDofx+/1YlgWob0w2I+kXega9coTDYQCCwSAAbW1t9PT0sHjx4sFz3G438+bNG/y66jl08ruYfgF6Br0SXGzf0HOovJ/WTBxFr776Kj6f76z1JFpbWwF47LHH+OxnP0tNTQ2vvvoq3/nOd/jHf/xHysvL6enpITc395z2cnNz6enpuVzlyyh7+OGH+T//5//w1a9+FcuyMAyDr371q8yZMwdIh88ul2vwm/gZ7/+6q29MTufrGwA//vGPmT17NitXrhyyDfWNyWck/eIP//AP+cEPfsDDDz+MZVl4PB7+5E/+hLKyMkD9YjKqqKiguLiYn//853zlK1/B5/Px9NNP09PTM+zXtL+/nyeeeIJbb7118DX1jcllJP1Cz6BXBsdx+PGPf8ycOXOorq4GGPzaffBrm5ubS0dHx+A5eg6dvC62X4CeQSe7S+kbeg6V91OYOIpefvllrrvuusEFrSH9PyvALbfcwo033gjAtGnT2LdvHy+//DIPPvjgsO05jjPsOhUy/m3cuJGjR4/yjW98g+LiYg4ePMi///u/k5eXd9a/An/QmT7zYdQ3Jrbz9Y0dO3awb98+vv/9719w2+obE9dIvmf88pe/ZGBggP/+3/872dnZbN++nf/5P/8n3/nOdwYfCIeifjFxuVwu/viP/5h/+Zd/4eGHH8Y0TRYuXMjSpUuHPD8cDvO3f/u3VFVVcd999523ffWNiWkk/ULPoFeG//iP/+DUqVN85zvfOefYB7+GI33GHMk56h/j28X2Cz2DTn6X8j1Dz6HyfgoTR8nBgwdpamriv/23/3bW6/n5+QBUVVWd9XplZeVgyp+Xl0dvb+85bfb19Q2Z7Mv4F4/H+cUvfsGf/MmfsGzZMgCmTp1KfX09Tz31FIsWLSIvL49kMkkoFDrrX4X7+vqYPXs2oL4xGY2kb+zbt4/W1lY+//nPn3XtP/7jPzJ37ly+9a1vqW9MMiPpFy0tLWzatIl//Md/HNxZr6amhkOHDrFp0ya+8pWvqF9MUrW1tfz93/894XCYZDJJTk4Of/Znf0Ztbe1Z50UiEf7mb/4Gn8/H17/+dVyu9x7z1Dcmn/P1Cz2DTn7/+Z//yc6dO/n2t7991g7MZ6am9vT0DPYDOPvrqufQyetS+oWeQSe3S+kbeg6VD9KaiaPkpZdeora2lpqamrNeLy4uJj8/n6amprNeb25upqioCEivIxAOhzl27Njg8aNHjxIOhwf/MpeJJZlMkkqlzvkXGNM0B/+Fp7a2Fsuy2LNnz+Dx7u5uTp06xaxZswD1jcloJH3jnnvu4e///u/5/ve/P/gL4HOf+xy/+7u/C6hvTDYj6RfxeBw491+N33+O+sXkFggEyMnJobm5mePHj581BS0cDvPd734Xl8vFN77xjbNmSYD6xmQ2XL/QM+jk5TgO//Ef/8HWrVv5y7/8S0pKSs46XlJSQl5e3lnPmMlkkgMHDgx+XfUcOvmMRr/QM+jkNBp9Q8+h8kEamXge0WiUlpaWwT+3tbVRX19PMBgcfBALh8O89dZbfPaznz3nesMw+NjHPsajjz5KTU0NNTU1vPLKKzQ2NvJHf/RHQPpfjJcsWcK//uu/8uUvfxmAH/7whyxbtoyKiorLcJdyMc7XN+bNm8dPf/pTPB4PxcXFHDhwgFdffZXPfe5zQPrh/6abbuKRRx4hOzubYDDII488QnV19eCURvWNielS+0ZeXt6QC14XFRUN/uWvvjHxXGq/qKiooKysjH/7t3/js5/9LMFgkO3bt7Nnzx6++c1vAuoXE9X5+sabb75JTk4ORUVFnDp1ih/96EesXLlycKH0SCTCX//1XxOLxfj93/99IpEIkUgEgJycHEzTVN+YgC61X+gZdPL6j//4DzZv3sw3vvEN/H7/4FpkgUAAj8eDYRh85CMfYd26dZSXl1NWVsa6devwer1ce+21g+fqOXRyGY1+oWfQyWk0+oaeQ+WDDGckC2Ncwfbv38+3v/3tc16/4YYb+NrXvgbACy+8wI9+9CN++MMfEggEhmznySef5NlnnyUUCjF16lQeeuihsxbVD4VCg8OOAZYvX84Xv/hFsrKyxuCuZDScr2/09PTw85//nN27dxMKhSguLuaWW27hox/96OC/6MTjcX7605+yefNm4vE4CxYs4Etf+tJgUA3qGxPRaPSND3rggQf4+te/ftYGT+obE8to9Ivm5mZ+9rOfcfjwYaLRKGVlZdx9991cf/31g+2pX0w85+sbGzdu5KmnnhqcfnT99ddz3333DU5jHu56gP/9v//34A+A6hsTy6X2izP0DDr5PPDAA0O+/ru/+7usXbsWSI9Eeuyxx3jhhRcYGBhgxowZfPGLXzxrXTM9h04uo9UvhmpXz6AT22j1DT2HyvspTBQREREREREREZER0ZqJIiIiIiIiIiIiMiIKE0VERERERERERGREFCaKiIiIiIiIiIjIiChMFBERERERERERkRFRmCgiIiIiIiIiIiIjojBRRERERERERERERkRhooiIiIiIiIiIiIyIwkQRERER+VCHDx/m0UcfZWBg4KzXv/Wtb/Gtb30rM0WJiIiISEa4Ml2AiIiIiIxvhw8f5vHHH2ft2rVkZWUNvv6lL30pg1WJiIiISCYoTBQRERGRi1JVVZXpEkRERETkMjMcx3EyXYSIiIiIjE+PPvoojz/++Dmv/9Vf/RWPPfYYwOBU57a2Nn7v936Phx56CNu2ef755+np6WHmzJl85StfoaSkhF/96le89tprRKNRFixYwFe+8hVyc3PPavuNN97gmWee4dSpUwDMmTOHBx98kGnTpo3tzYqIiIjIeSlMFBEREZFhdXZ2sn79ejZt2sTXv/518vLygPSoxO9///vAuWFicXEx1dXV3HrrrQwMDPCTn/yEQCDAzJkzsSyLa665hvb2dh555BHmz5/PN7/5zcH3+/Wvf82vfvUr1q5dy1VXXUUymWTDhg2cPHmS733vexoNKSIiIpJhmuYsIiIiIsMqLCykqKgIgJqaGkpKSs57TSAQ4E/+5E8wzfRef/39/fzoRz+isrKSb3zjG4PnNTY2snHjRsLhMIFAgI6ODh577DFuv/12Hn744cHzFi1axB/8wR/w2GOP8Yd/+IejfIciIiIiciG0m7OIiIiIjKqlS5cOBokAlZWVACxbtuys886MMuzo6ABg9+7dpFIpbrjhBlKp1OAvt9vNvHnzOHDgwGW6AxEREREZjkYmioiIiMioCgaDZ/3Z5XJ96OuJRAKA3t5eAP70T/90yHYNwxjVOkX+/3bs0FaRMIDC6N2dkCAgwYAgBINEgERi8GCmEBqgHSrAIRB0QQPj0IRkXgMb8u/mEd4m5zRwr/4AgL8nJgIA8CP0+/0kyX6/z3A4/PAbAAD+REwEAOClTqeTJHk8Hm/dWSwWqaoqTdNktVq9dQsAgH8jJgIA8NJ0Ok2SnE6nrNfrVFWV8Xj87Tuj0Sh1Xed4PKZpmiyXy/R6vdzv99xut3S73dR1/e27AACUExMBAHhpPp9nu93mcrnkfD6nbdscDoe3bO12u0wmk5xOp1yv1zyfzwwGg8xms2w2m7dsAgBQ7lfbtu2nTwAAAAAAP9/vTx8AAAAAAP4PYiIAAAAAUERMBAAAAACKiIkAAAAAQBExEQAAAAAoIiYCAAAAAEXERAAAAACgiJgIAAAAABQREwEAAACAImIiAAAAAFBETAQAAAAAioiJAAAAAECRL6xXtUu5Kc6nAAAAAElFTkSuQmCC", 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" ] @@ -395,7 +415,8 @@ "\n", "results.filter(variable=\"Surface Temperature\", region=\"World\").line_plot(\n", " x=\"time\"\n", - ");" + ");\n", + "plt.show()" ] }, { @@ -424,9 +445,9 @@ "name": "stderr", "output_type": "stream", "text": [ - "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", " warnings.warn(warn_msg)\n", - "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", " warnings.warn(warn_msg)\n" ] }, @@ -437,10 +458,10 @@ "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[14], line 20\u001b[0m\n\u001b[1;32m 18\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mrunning \u001b[39m\u001b[38;5;132;01m{}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;241m.\u001b[39mformat(name))\n\u001b[1;32m 19\u001b[0m scen \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mgetattr\u001b[39m(scenarios, name)\n\u001b[0;32m---> 20\u001b[0m scen_results \u001b[38;5;241m=\u001b[39m \u001b[43mmagicc\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrun\u001b[49m\u001b[43m(\u001b[49m\u001b[43mscen\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 21\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m i \u001b[38;5;241m!=\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[1;32m 22\u001b[0m results \u001b[38;5;241m=\u001b[39m results\u001b[38;5;241m.\u001b[39mappend(scen_results)\n", - "File \u001b[0;32m~/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/core.py:342\u001b[0m, in \u001b[0;36mMAGICCBase.run\u001b[0;34m(self, scenario, only, debug, **kwargs)\u001b[0m\n\u001b[1;32m 338\u001b[0m kwargs\u001b[38;5;241m.\u001b[39msetdefault(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mrundate\u001b[39m\u001b[38;5;124m\"\u001b[39m, get_date_time_string())\n\u001b[1;32m 340\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mupdate_config(\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[0;32m--> 342\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcheck_config\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 344\u001b[0m exec_dir \u001b[38;5;241m=\u001b[39m basename(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39moriginal_dir)\n\u001b[1;32m 345\u001b[0m command \u001b[38;5;241m=\u001b[39m [join(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mroot_dir, exec_dir, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mbinary_name)]\n", - "File \u001b[0;32m~/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/core.py:504\u001b[0m, in \u001b[0;36mMAGICCBase.check_config\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 502\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m k\u001b[38;5;241m.\u001b[39mstartswith(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mfile_emisscen_\u001b[39m\u001b[38;5;124m\"\u001b[39m):\n\u001b[1;32m 503\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m usr_cfg[nml_to_check][k] \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m [\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNONE\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m\"\u001b[39m]:\n\u001b[0;32m--> 504\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_check_failed\u001b[49m\u001b[43m(\u001b[49m\u001b[43memisscen_error_msg\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 506\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_check_config()\n", - "File \u001b[0;32m~/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/core.py:462\u001b[0m, in \u001b[0;36mMAGICCBase._check_failed\u001b[0;34m(self, msg)\u001b[0m\n\u001b[1;32m 460\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_check_failed\u001b[39m(\u001b[38;5;28mself\u001b[39m, msg):\n\u001b[1;32m 461\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mstrict:\n\u001b[0;32m--> 462\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(msg)\n\u001b[1;32m 463\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 464\u001b[0m warnings\u001b[38;5;241m.\u001b[39mwarn(msg)\n", + "Cell \u001b[0;32mIn[29], line 20\u001b[0m\n\u001b[1;32m 18\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mrunning \u001b[39m\u001b[38;5;132;01m{}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;241m.\u001b[39mformat(name))\n\u001b[1;32m 19\u001b[0m scen \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mgetattr\u001b[39m(scenarios, name)\n\u001b[0;32m---> 20\u001b[0m scen_results \u001b[38;5;241m=\u001b[39m \u001b[43mmagicc\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrun\u001b[49m\u001b[43m(\u001b[49m\u001b[43mscen\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 21\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m i \u001b[38;5;241m!=\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[1;32m 22\u001b[0m results \u001b[38;5;241m=\u001b[39m results\u001b[38;5;241m.\u001b[39mappend(scen_results)\n", + "File \u001b[0;32m~/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pymagicc/core.py:342\u001b[0m, in \u001b[0;36mMAGICCBase.run\u001b[0;34m(self, scenario, only, debug, **kwargs)\u001b[0m\n\u001b[1;32m 338\u001b[0m kwargs\u001b[38;5;241m.\u001b[39msetdefault(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mrundate\u001b[39m\u001b[38;5;124m\"\u001b[39m, get_date_time_string())\n\u001b[1;32m 340\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mupdate_config(\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[0;32m--> 342\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcheck_config\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 344\u001b[0m exec_dir \u001b[38;5;241m=\u001b[39m basename(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39moriginal_dir)\n\u001b[1;32m 345\u001b[0m command \u001b[38;5;241m=\u001b[39m [join(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mroot_dir, exec_dir, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mbinary_name)]\n", + "File \u001b[0;32m~/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pymagicc/core.py:504\u001b[0m, in \u001b[0;36mMAGICCBase.check_config\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 502\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m k\u001b[38;5;241m.\u001b[39mstartswith(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mfile_emisscen_\u001b[39m\u001b[38;5;124m\"\u001b[39m):\n\u001b[1;32m 503\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m usr_cfg[nml_to_check][k] \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m [\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNONE\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m\"\u001b[39m]:\n\u001b[0;32m--> 504\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_check_failed\u001b[49m\u001b[43m(\u001b[49m\u001b[43memisscen_error_msg\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 506\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_check_config()\n", + "File \u001b[0;32m~/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pymagicc/core.py:462\u001b[0m, in \u001b[0;36mMAGICCBase._check_failed\u001b[0;34m(self, msg)\u001b[0m\n\u001b[1;32m 460\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_check_failed\u001b[39m(\u001b[38;5;28mself\u001b[39m, msg):\n\u001b[1;32m 461\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mstrict:\n\u001b[0;32m--> 462\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(msg)\n\u001b[1;32m 463\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 464\u001b[0m warnings\u001b[38;5;241m.\u001b[39mwarn(msg)\n", "\u001b[0;31mValueError\u001b[0m: You have more than one `FILE_EMISSCEN_X` flag set. Using more than one emissions scenario is hard to debug and unnecessary with Pymagicc's Dataframe scenario input. Please combine all your scenarios into one Dataframe with Pymagicc and Pandas, then feed this single Dataframe into Pymagicc's run API." ] } @@ -460,17 +481,16 @@ " emissions=False,\n", " parameters=True,\n", " )\n", - " # for i, name in enumerate(scenario_names):\n", - " # # note that we obviously don't need magicc_version as an argument\n", - " # # here as it is assigned automatically\n", - " # print(\"running {}\".format(name))\n", - " # scen = getattr(scenarios, name)\n", - " # scen_results = magicc.run(scen)\n", - " # if i != 0:\n", - " # results = results.append(scen_results)\n", - " # else:\n", - " # results = scen_results\n", - " results = magicc.run(scenarios.rcps)\n", + " for i, name in enumerate(scenario_names):\n", + " # note that we obviously don't need magicc_version as an argument\n", + " # here as it is assigned automatically\n", + " print(\"running {}\".format(name))\n", + " scen = getattr(scenarios, name)\n", + " scen_results = magicc.run(scen)\n", + " if i != 0:\n", + " results = results.append(scen_results)\n", + " else:\n", + " results = scen_results\n", "\n", "results.filter(variable=\"Surface Temperature\", region=\"World\").line_plot(\n", " x=\"time\"\n", @@ -490,7 +510,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 30, "metadata": {}, "outputs": [ { @@ -510,17 +530,17 @@ "name": "stderr", "output_type": "stream", "text": [ - "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", " warnings.warn(warn_msg)\n", - "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", " warnings.warn(warn_msg)\n", - "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/core.py:436: UserWarning: magicc logged a WARNING message. Check the 'stderr' key of the result's `metadata` attribute.\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pymagicc/core.py:436: UserWarning: magicc logged a WARNING message. Check the 'stderr' key of the result's `metadata` attribute.\n", " warnings.warn(\n", - "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/core.py:436: UserWarning: magicc logged a ERROR message. Check the 'stderr' key of the result's `metadata` attribute.\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pymagicc/core.py:436: UserWarning: magicc logged a ERROR message. Check the 'stderr' key of the result's `metadata` attribute.\n", " warnings.warn(\n", - "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", " warnings.warn(warn_msg)\n", - "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", " warnings.warn(warn_msg)\n" ] }, @@ -535,13 +555,13 @@ "name": "stderr", "output_type": "stream", "text": [ - "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/core.py:436: UserWarning: magicc logged a WARNING message. Check the 'stderr' key of the result's `metadata` attribute.\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pymagicc/core.py:436: UserWarning: magicc logged a WARNING message. Check the 'stderr' key of the result's `metadata` attribute.\n", " warnings.warn(\n", - "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/core.py:436: UserWarning: magicc logged a ERROR message. Check the 'stderr' key of the result's `metadata` attribute.\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pymagicc/core.py:436: UserWarning: magicc logged a ERROR message. Check the 'stderr' key of the result's `metadata` attribute.\n", " warnings.warn(\n", - "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", " warnings.warn(warn_msg)\n", - "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", " warnings.warn(warn_msg)\n" ] }, @@ -556,13 +576,13 @@ "name": "stderr", "output_type": "stream", "text": [ - "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/core.py:436: UserWarning: magicc logged a WARNING message. Check the 'stderr' key of the result's `metadata` attribute.\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pymagicc/core.py:436: UserWarning: magicc logged a WARNING message. Check the 'stderr' key of the result's `metadata` attribute.\n", " warnings.warn(\n", - "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/core.py:436: UserWarning: magicc logged a ERROR message. Check the 'stderr' key of the result's `metadata` attribute.\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pymagicc/core.py:436: UserWarning: magicc logged a ERROR message. Check the 'stderr' key of the result's `metadata` attribute.\n", " warnings.warn(\n", - "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", " warnings.warn(warn_msg)\n", - "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pymagicc/io/scen7.py:43: UserWarning: MAGICC6 RCP region naming (R5*) is not compatible with MAGICC7, automatically renaming to MAGICC7 compatible regions (R5.2*)\n", " warnings.warn(warn_msg)\n" ] }, @@ -577,9 +597,9 @@ "name": "stderr", "output_type": "stream", "text": [ - "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/core.py:436: UserWarning: magicc logged a WARNING message. Check the 'stderr' key of the result's `metadata` attribute.\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pymagicc/core.py:436: UserWarning: magicc logged a WARNING message. Check the 'stderr' key of the result's `metadata` attribute.\n", " warnings.warn(\n", - "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pymagicc/core.py:436: UserWarning: magicc logged a ERROR message. Check the 'stderr' key of the result's `metadata` attribute.\n", + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pymagicc/core.py:436: UserWarning: magicc logged a ERROR message. Check the 'stderr' key of the result's `metadata` attribute.\n", " warnings.warn(\n" ] } @@ -628,7 +648,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -781,92 +801,49 @@ } ], "source": [ - "!pip install pyam-iamc" + "# the following packages are required for the plots below\n", + "# !pip install pyam-iamc pycollocation sympy" ] }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 32, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Collecting pycollocation\n", - " Downloading pycollocation-0.6.0-alpha.tar.gz (13 kB)\n", - " Installing build dependencies ... \u001b[?25ldone\n", - "\u001b[?25h Getting requirements to build wheel ... \u001b[?25ldone\n", - "\u001b[?25h Preparing metadata (pyproject.toml) ... \u001b[?25ldone\n", - "\u001b[?25hBuilding wheels for collected packages: pycollocation\n", - " Building wheel for pycollocation (pyproject.toml) ... \u001b[?25ldone\n", - "\u001b[?25h Created wheel for pycollocation: filename=pycollocation-0.6.0a0-py2.py3-none-any.whl size=19874 sha256=ec963cfc36bfb4bc3d497bd3823cf52c77d5cd847a54fcb1e6ffee13089e739a\n", - " Stored in directory: /Users/seangtkelley/Library/Caches/pip/wheels/a5/06/0f/23d248c12a8e4bec1bad530b3bf75daaf72a6ee90ef8aef806\n", - "Successfully built pycollocation\n", - "Installing collected packages: pycollocation\n", - "Successfully installed pycollocation-0.6.0a0\n" - ] - } - ], + "outputs": [], "source": [ - "!pip install pycollocation" + "# TODO: remake conda environment clean in case this is importing the wrong pyam\n", + "import pyam" ] }, { "cell_type": "code", - "execution_count": 23, + "execution_count": null, "metadata": {}, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "Collecting sympy\n", - " Using cached sympy-1.13.3-py3-none-any.whl.metadata (12 kB)\n", - "Collecting mpmath<1.4,>=1.1.0 (from sympy)\n", - " Using cached mpmath-1.3.0-py3-none-any.whl.metadata (8.6 kB)\n", - "Using cached sympy-1.13.3-py3-none-any.whl (6.2 MB)\n", - "Using cached mpmath-1.3.0-py3-none-any.whl (536 kB)\n", - "Installing collected packages: mpmath, sympy\n", - "Successfully installed mpmath-1.3.0 sympy-1.13.3\n" - ] + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ - "!pip install sympy" + "pyam.plotting" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 75, "metadata": {}, "outputs": [], - "source": [ - "# TODO: remake conda environment clean in case this is importing the wrong pyam\n", - "import pyam" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [ - { - "ename": "ImportError", - "evalue": "cannot import name 'reshape_line_plot' from 'pyam.plotting' (/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pyam/plotting.py)", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mImportError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[32], line 3\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;66;03m# NBVAL_SKIP\u001b[39;00m\n\u001b[1;32m 2\u001b[0m \u001b[38;5;66;03m# TODO: move into OpenSCMDataFrame or pyam\u001b[39;00m\n\u001b[0;32m----> 3\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mpyam\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mplotting\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m reshape_line_plot\n\u001b[1;32m 6\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mget_reference_period_mean\u001b[39m(df, reference_period, x\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124myear\u001b[39m\u001b[38;5;124m\"\u001b[39m, y\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mvalue\u001b[39m\u001b[38;5;124m\"\u001b[39m):\n\u001b[1;32m 7\u001b[0m ref_period_start, ref_period_end \u001b[38;5;241m=\u001b[39m reference_period\n", - "\u001b[0;31mImportError\u001b[0m: cannot import name 'reshape_line_plot' from 'pyam.plotting' (/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.13/site-packages/pyam/plotting.py)" - ] - } - ], "source": [ "# NBVAL_SKIP\n", "# TODO: move into OpenSCMDataFrame or pyam\n", - "from pyam.plotting import reshape_line_plot\n", + "from pyam.plotting import reshape_mpl\n", "\n", "\n", "def get_reference_period_mean(df, reference_period, x=\"year\", y=\"value\"):\n", @@ -876,7 +853,7 @@ " ), \"reference period must go from earlier to later\"\n", "\n", " # type assertion on start and end?\n", - " adf = reshape_line_plot(df, x=x, y=y)\n", + " adf = reshape_mpl(df, x=x, y=y, idx_cols=['model', 'scenario'])\n", " mdf = adf.loc[ref_period_start:ref_period_end].mean()\n", "\n", " return mdf\n", @@ -888,9 +865,9 @@ " ref_period_start < ref_period_end\n", " ), \"reference period must go from earlier to later\"\n", "\n", - " adf = reshape_line_plot(mdata.data.copy(), x=x, y=y)\n", + " adf = reshape_mpl(mdata.copy(), x=x, y=y, idx_cols=['model', 'scenario'])\n", " mdf = get_reference_period_mean(\n", - " mdata.data.copy(), reference_period, x=x, y=y\n", + " mdata.copy(), reference_period, x=x, y=y\n", " )\n", "\n", " bdf = adf - mdf\n", @@ -962,18 +939,75 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 76, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/scmdata/run.py:905: FutureWarning: Dtype inference on a pandas object (Series, Index, ExtensionArray) is deprecated. The Index constructor will keep the original dtype in the future. Call `infer_objects` on the result to get the old behavior.\n", + " df.columns = pd.Index(columns, name=\"time\")\n" + ] + }, + { + "data": { + "text/plain": [ + "\n", + "Index:\n", + " * model : AIM, IMAGE, MESSAGE, MiniCAM (4)\n", + " * scenario : RCP26, RCP45, RCP60, RCP85 (4)\n", + "Timeseries data coordinates:\n", + " region : World (1)\n", + " variable : Surface Temperature (1)\n", + " unit : K (1)\n", + " time : 1765-01-01 00:00:00, 1766-01-01 00:00:00, ... 2100-01-01 00:00:00 (336)\n", + " climate_model : MAGICC7 (1)\n", + " todo : not_relevant (1)" + ] + }, + "execution_count": 76, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "results.filter(variable=\"Surface Temperature\", region=\"World\").to_iamdataframe()" + ] + }, + { + "cell_type": "code", + "execution_count": 77, "metadata": {}, "outputs": [ { - "ename": "NameError", - "evalue": "name 'line_plot' is not defined", + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/scmdata/run.py:905: FutureWarning: Dtype inference on a pandas object (Series, Index, ExtensionArray) is deprecated. The Index constructor will keep the original dtype in the future. Call `infer_objects` on the result to get the old behavior.\n", + " df.columns = pd.Index(columns, name=\"time\")\n" + ] + }, + { + "ename": "KeyError", + "evalue": "\"Level ['model', 'scenario', 'time'] not found\"", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[29], line 4\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;66;03m# NBVAL_SKIP\u001b[39;00m\n\u001b[1;32m 2\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mdatetime\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m datetime\n\u001b[0;32m----> 4\u001b[0m \u001b[43mline_plot\u001b[49m(\n\u001b[1;32m 5\u001b[0m results\u001b[38;5;241m.\u001b[39mfilter(variable\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mSurface Temperature\u001b[39m\u001b[38;5;124m\"\u001b[39m, region\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mWorld\u001b[39m\u001b[38;5;124m\"\u001b[39m),\n\u001b[1;32m 6\u001b[0m (datetime(\u001b[38;5;241m1850\u001b[39m, \u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m1\u001b[39m), datetime(\u001b[38;5;241m1900\u001b[39m, \u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m1\u001b[39m)),\n\u001b[1;32m 7\u001b[0m highlight_kwargs\u001b[38;5;241m=\u001b[39m{\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcolor\u001b[39m\u001b[38;5;124m\"\u001b[39m: \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mgrey\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124malpha\u001b[39m\u001b[38;5;124m\"\u001b[39m: \u001b[38;5;241m0.5\u001b[39m},\n\u001b[1;32m 8\u001b[0m color\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mscenario\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m 9\u001b[0m marker\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mclimate_model\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m 10\u001b[0m )\n", - "\u001b[0;31mNameError\u001b[0m: name 'line_plot' is not defined" + "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", + "File \u001b[0;32m~/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pandas/core/indexes/multi.py:1664\u001b[0m, in \u001b[0;36mMultiIndex._get_level_number\u001b[0;34m(self, level)\u001b[0m\n\u001b[1;32m 1663\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m-> 1664\u001b[0m level \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mnames\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mindex\u001b[49m\u001b[43m(\u001b[49m\u001b[43mlevel\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1665\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m err:\n", + "\u001b[0;31mValueError\u001b[0m: ['model', 'scenario', 'time'] is not in list", + "\nThe above exception was the direct cause of the following exception:\n", + "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[77], line 4\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;66;03m# NBVAL_SKIP\u001b[39;00m\n\u001b[1;32m 2\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mdatetime\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m datetime\n\u001b[0;32m----> 4\u001b[0m \u001b[43mline_plot\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 5\u001b[0m \u001b[43m \u001b[49m\u001b[43mresults\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfilter\u001b[49m\u001b[43m(\u001b[49m\u001b[43mvariable\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mSurface Temperature\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mregion\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mWorld\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mto_iamdataframe\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 6\u001b[0m \u001b[43m \u001b[49m\u001b[43m(\u001b[49m\u001b[43mdatetime\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m1850\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdatetime\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m1900\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 7\u001b[0m \u001b[43m \u001b[49m\u001b[43mhighlight_kwargs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m{\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mcolor\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mgrey\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43malpha\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m0.5\u001b[39;49m\u001b[43m}\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 8\u001b[0m \u001b[43m \u001b[49m\u001b[43mcolor\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mscenario\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 9\u001b[0m \u001b[43m \u001b[49m\u001b[43mmarker\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mclimate_model\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 10\u001b[0m \u001b[43m)\u001b[49m\n", + "Cell \u001b[0;32mIn[75], line 83\u001b[0m, in \u001b[0;36mline_plot\u001b[0;34m(magiccdata, reference_period, x, y, highlight_kwargs, **kwargs)\u001b[0m\n\u001b[1;32m 74\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mline_plot\u001b[39m(\n\u001b[1;32m 75\u001b[0m magiccdata,\n\u001b[1;32m 76\u001b[0m reference_period\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 80\u001b[0m \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs,\n\u001b[1;32m 81\u001b[0m ):\n\u001b[1;32m 82\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m reference_period \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m---> 83\u001b[0m bdf \u001b[38;5;241m=\u001b[39m \u001b[43madjust_to_baseline\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmagiccdata\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mreference_period\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mx\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mx\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43my\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 84\u001b[0m ax \u001b[38;5;241m=\u001b[39m bdf\u001b[38;5;241m.\u001b[39mline_plot(x\u001b[38;5;241m=\u001b[39mx, y\u001b[38;5;241m=\u001b[39my, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[1;32m 85\u001b[0m highlight_reference_period(ax, reference_period, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mhighlight_kwargs)\n", + "Cell \u001b[0;32mIn[75], line 25\u001b[0m, in \u001b[0;36madjust_to_baseline\u001b[0;34m(mdata, reference_period, x, y)\u001b[0m\n\u001b[1;32m 20\u001b[0m ref_period_start, ref_period_end \u001b[38;5;241m=\u001b[39m reference_period\n\u001b[1;32m 21\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m (\n\u001b[1;32m 22\u001b[0m ref_period_start \u001b[38;5;241m<\u001b[39m ref_period_end\n\u001b[1;32m 23\u001b[0m ), \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mreference period must go from earlier to later\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m---> 25\u001b[0m adf \u001b[38;5;241m=\u001b[39m \u001b[43mreshape_mpl\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmdata\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcopy\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mx\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mx\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43my\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43midx_cols\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mmodel\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mscenario\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 26\u001b[0m mdf \u001b[38;5;241m=\u001b[39m get_reference_period_mean(\n\u001b[1;32m 27\u001b[0m mdata\u001b[38;5;241m.\u001b[39mcopy(), reference_period, x\u001b[38;5;241m=\u001b[39mx, y\u001b[38;5;241m=\u001b[39my\n\u001b[1;32m 28\u001b[0m )\n\u001b[1;32m 30\u001b[0m bdf \u001b[38;5;241m=\u001b[39m adf \u001b[38;5;241m-\u001b[39m mdf\n", + "File \u001b[0;32m~/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pyam/plotting.py:254\u001b[0m, in \u001b[0;36mreshape_mpl\u001b[0;34m(df, x, y, idx_cols, **kwargs)\u001b[0m\n\u001b[1;32m 251\u001b[0m idx_cols \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m [x]\n\u001b[1;32m 253\u001b[0m \u001b[38;5;66;03m# check for duplicates\u001b[39;00m\n\u001b[0;32m--> 254\u001b[0m rows \u001b[38;5;241m=\u001b[39m \u001b[43mdf\u001b[49m\u001b[43m[\u001b[49m\u001b[43midx_cols\u001b[49m\u001b[43m]\u001b[49m\u001b[38;5;241m.\u001b[39mduplicated()\n\u001b[1;32m 255\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28many\u001b[39m(rows):\n\u001b[1;32m 256\u001b[0m raise_data_error(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mDuplicates in plot data\u001b[39m\u001b[38;5;124m\"\u001b[39m, df\u001b[38;5;241m.\u001b[39mloc[rows, idx_cols])\n", + "File \u001b[0;32m~/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pyam/core.py:258\u001b[0m, in \u001b[0;36mIamDataFrame.__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 256\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmeta\u001b[38;5;241m.\u001b[39m\u001b[38;5;21m__getitem__\u001b[39m(key)\n\u001b[1;32m 257\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 258\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_data_column\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkey\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pyam/core.py:467\u001b[0m, in \u001b[0;36mIamDataFrame.get_data_column\u001b[0;34m(self, column)\u001b[0m\n\u001b[1;32m 453\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mget_data_column\u001b[39m(\u001b[38;5;28mself\u001b[39m, column):\n\u001b[1;32m 454\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"Return a `column` from the timeseries data in long format\u001b[39;00m\n\u001b[1;32m 455\u001b[0m \n\u001b[1;32m 456\u001b[0m \u001b[38;5;124;03m Equivalent to :meth:`IamDataFrame.data[column] `.\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 465\u001b[0m \u001b[38;5;124;03m pd.Series\u001b[39;00m\n\u001b[1;32m 466\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[0;32m--> 467\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m pd\u001b[38;5;241m.\u001b[39mSeries(\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_data\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mindex\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_level_values\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcolumn\u001b[49m\u001b[43m)\u001b[49m, name\u001b[38;5;241m=\u001b[39mcolumn)\n", + "File \u001b[0;32m~/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pandas/core/indexes/multi.py:1832\u001b[0m, in \u001b[0;36mMultiIndex.get_level_values\u001b[0;34m(self, level)\u001b[0m\n\u001b[1;32m 1784\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mget_level_values\u001b[39m(\u001b[38;5;28mself\u001b[39m, level) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Index: \u001b[38;5;66;03m# type: ignore[override]\u001b[39;00m\n\u001b[1;32m 1785\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 1786\u001b[0m \u001b[38;5;124;03m Return vector of label values for requested level.\u001b[39;00m\n\u001b[1;32m 1787\u001b[0m \n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 1830\u001b[0m \u001b[38;5;124;03m Index([1.0, nan, 2.0], dtype='float64')\u001b[39;00m\n\u001b[1;32m 1831\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[0;32m-> 1832\u001b[0m level \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_get_level_number\u001b[49m\u001b[43m(\u001b[49m\u001b[43mlevel\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1833\u001b[0m values \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_get_level_values(level)\n\u001b[1;32m 1834\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m values\n", + "File \u001b[0;32m~/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pandas/core/indexes/multi.py:1667\u001b[0m, in \u001b[0;36mMultiIndex._get_level_number\u001b[0;34m(self, level)\u001b[0m\n\u001b[1;32m 1665\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m err:\n\u001b[1;32m 1666\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m is_integer(level):\n\u001b[0;32m-> 1667\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mLevel \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mlevel\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m not found\u001b[39m\u001b[38;5;124m\"\u001b[39m) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01merr\u001b[39;00m\n\u001b[1;32m 1668\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m level \u001b[38;5;241m<\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[1;32m 1669\u001b[0m level \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mnlevels\n", + "\u001b[0;31mKeyError\u001b[0m: \"Level ['model', 'scenario', 'time'] not found\"" ] } ], @@ -982,7 +1016,7 @@ "from datetime import datetime\n", "\n", "line_plot(\n", - " results.filter(variable=\"Surface Temperature\", region=\"World\"),\n", + " results.filter(variable=\"Surface Temperature\", region=\"World\").to_iamdataframe(),\n", " (datetime(1850, 1, 1), datetime(1900, 1, 1)),\n", " highlight_kwargs={\"color\": \"grey\", \"alpha\": 0.5},\n", " color=\"scenario\",\n", @@ -999,7 +1033,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 78, "metadata": {}, "outputs": [], "source": [ @@ -1009,18 +1043,21 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 79, "metadata": {}, "outputs": [ { - "ename": "NameError", - "evalue": "name 'adjust_to_baseline' is not defined", + "ename": "KeyError", + "evalue": "\"[['model', 'scenario', 'time']] is not in metadata\"", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[33], line 4\u001b[0m\n\u001b[1;32m 2\u001b[0m tempdf \u001b[38;5;241m=\u001b[39m results\u001b[38;5;241m.\u001b[39mfilter(variable\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mSurface Temperature\u001b[39m\u001b[38;5;124m\"\u001b[39m, region\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mWorld\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 3\u001b[0m ref_period \u001b[38;5;241m=\u001b[39m (datetime(\u001b[38;5;241m1850\u001b[39m, \u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m1\u001b[39m), datetime(\u001b[38;5;241m1900\u001b[39m, \u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m1\u001b[39m))\n\u001b[0;32m----> 4\u001b[0m bdf \u001b[38;5;241m=\u001b[39m \u001b[43madjust_to_baseline\u001b[49m(tempdf, ref_period,)\n\u001b[1;32m 5\u001b[0m fg \u001b[38;5;241m=\u001b[39m sns\u001b[38;5;241m.\u001b[39mrelplot(\n\u001b[1;32m 6\u001b[0m x\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtime\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m 7\u001b[0m y\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mvalue\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 11\u001b[0m data\u001b[38;5;241m=\u001b[39mbdf\u001b[38;5;241m.\u001b[39mdata,\n\u001b[1;32m 12\u001b[0m )\n\u001b[1;32m 13\u001b[0m ax \u001b[38;5;241m=\u001b[39m fg\u001b[38;5;241m.\u001b[39maxes[\u001b[38;5;241m0\u001b[39m][\u001b[38;5;241m0\u001b[39m]\n", - "\u001b[0;31mNameError\u001b[0m: name 'adjust_to_baseline' is not defined" + "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[79], line 4\u001b[0m\n\u001b[1;32m 2\u001b[0m tempdf \u001b[38;5;241m=\u001b[39m results\u001b[38;5;241m.\u001b[39mfilter(variable\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mSurface Temperature\u001b[39m\u001b[38;5;124m\"\u001b[39m, region\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mWorld\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 3\u001b[0m ref_period \u001b[38;5;241m=\u001b[39m (datetime(\u001b[38;5;241m1850\u001b[39m, \u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m1\u001b[39m), datetime(\u001b[38;5;241m1900\u001b[39m, \u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m1\u001b[39m))\n\u001b[0;32m----> 4\u001b[0m bdf \u001b[38;5;241m=\u001b[39m \u001b[43madjust_to_baseline\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtempdf\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mref_period\u001b[49m\u001b[43m,\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 5\u001b[0m fg \u001b[38;5;241m=\u001b[39m sns\u001b[38;5;241m.\u001b[39mrelplot(\n\u001b[1;32m 6\u001b[0m x\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtime\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m 7\u001b[0m y\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mvalue\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 11\u001b[0m data\u001b[38;5;241m=\u001b[39mbdf\u001b[38;5;241m.\u001b[39mdata,\n\u001b[1;32m 12\u001b[0m )\n\u001b[1;32m 13\u001b[0m ax \u001b[38;5;241m=\u001b[39m fg\u001b[38;5;241m.\u001b[39maxes[\u001b[38;5;241m0\u001b[39m][\u001b[38;5;241m0\u001b[39m]\n", + "Cell \u001b[0;32mIn[75], line 25\u001b[0m, in \u001b[0;36madjust_to_baseline\u001b[0;34m(mdata, reference_period, x, y)\u001b[0m\n\u001b[1;32m 20\u001b[0m ref_period_start, ref_period_end \u001b[38;5;241m=\u001b[39m reference_period\n\u001b[1;32m 21\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m (\n\u001b[1;32m 22\u001b[0m ref_period_start \u001b[38;5;241m<\u001b[39m ref_period_end\n\u001b[1;32m 23\u001b[0m ), \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mreference period must go from earlier to later\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m---> 25\u001b[0m adf \u001b[38;5;241m=\u001b[39m \u001b[43mreshape_mpl\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmdata\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcopy\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mx\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mx\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43my\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43midx_cols\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mmodel\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mscenario\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 26\u001b[0m mdf \u001b[38;5;241m=\u001b[39m get_reference_period_mean(\n\u001b[1;32m 27\u001b[0m mdata\u001b[38;5;241m.\u001b[39mcopy(), reference_period, x\u001b[38;5;241m=\u001b[39mx, y\u001b[38;5;241m=\u001b[39my\n\u001b[1;32m 28\u001b[0m )\n\u001b[1;32m 30\u001b[0m bdf \u001b[38;5;241m=\u001b[39m adf \u001b[38;5;241m-\u001b[39m mdf\n", + "File \u001b[0;32m~/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pyam/plotting.py:254\u001b[0m, in \u001b[0;36mreshape_mpl\u001b[0;34m(df, x, y, idx_cols, **kwargs)\u001b[0m\n\u001b[1;32m 251\u001b[0m idx_cols \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m [x]\n\u001b[1;32m 253\u001b[0m \u001b[38;5;66;03m# check for duplicates\u001b[39;00m\n\u001b[0;32m--> 254\u001b[0m rows \u001b[38;5;241m=\u001b[39m \u001b[43mdf\u001b[49m\u001b[43m[\u001b[49m\u001b[43midx_cols\u001b[49m\u001b[43m]\u001b[49m\u001b[38;5;241m.\u001b[39mduplicated()\n\u001b[1;32m 255\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28many\u001b[39m(rows):\n\u001b[1;32m 256\u001b[0m raise_data_error(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mDuplicates in plot data\u001b[39m\u001b[38;5;124m\"\u001b[39m, df\u001b[38;5;241m.\u001b[39mloc[rows, idx_cols])\n", + "File \u001b[0;32m~/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/scmdata/run.py:605\u001b[0m, in \u001b[0;36mBaseScmRun.__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 602\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m:\n\u001b[1;32m 603\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_meta_column(key)\u001b[38;5;241m.\u001b[39mastype(\u001b[38;5;28mfloat\u001b[39m)\n\u001b[0;32m--> 605\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m[\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mkey\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m] is not in metadata\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", + "\u001b[0;31mKeyError\u001b[0m: \"[['model', 'scenario', 'time']] is not in metadata\"" ] } ], @@ -1066,7 +1103,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.13.2" + "version": "3.10.16" } }, "nbformat": 4, From 019a0dd2f77e8fb3f4208fe0b25032d0d084e655 Mon Sep 17 00:00:00 2001 From: Sean Kelley Date: Thu, 10 Apr 2025 16:09:51 +0100 Subject: [PATCH 6/6] reverted line plot function changes --- notebooks/MAGICC7.ipynb | 146 +++++++++------------------------------- 1 file changed, 33 insertions(+), 113 deletions(-) diff --git a/notebooks/MAGICC7.ipynb b/notebooks/MAGICC7.ipynb index 4c0b543c..ce54d8b1 100644 --- a/notebooks/MAGICC7.ipynb +++ b/notebooks/MAGICC7.ipynb @@ -256,7 +256,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -302,7 +302,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 8, "metadata": {}, "outputs": [ { @@ -390,7 +390,7 @@ }, { "data": { - "image/png": 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" ] @@ -430,14 +430,13 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "/Users/seangtkelley/Source/blog-posts/climate-model-magicc-python/magicc-v7.5.3-overwrite\n", "running rcp26\n" ] }, @@ -458,7 +457,7 @@ "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[29], line 20\u001b[0m\n\u001b[1;32m 18\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mrunning \u001b[39m\u001b[38;5;132;01m{}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;241m.\u001b[39mformat(name))\n\u001b[1;32m 19\u001b[0m scen \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mgetattr\u001b[39m(scenarios, name)\n\u001b[0;32m---> 20\u001b[0m scen_results \u001b[38;5;241m=\u001b[39m \u001b[43mmagicc\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrun\u001b[49m\u001b[43m(\u001b[49m\u001b[43mscen\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 21\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m i \u001b[38;5;241m!=\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[1;32m 22\u001b[0m results \u001b[38;5;241m=\u001b[39m results\u001b[38;5;241m.\u001b[39mappend(scen_results)\n", + "Cell \u001b[0;32mIn[10], line 19\u001b[0m\n\u001b[1;32m 17\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mrunning \u001b[39m\u001b[38;5;132;01m{}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;241m.\u001b[39mformat(name))\n\u001b[1;32m 18\u001b[0m scen \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mgetattr\u001b[39m(scenarios, name)\n\u001b[0;32m---> 19\u001b[0m scen_results \u001b[38;5;241m=\u001b[39m \u001b[43mmagicc\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrun\u001b[49m\u001b[43m(\u001b[49m\u001b[43mscen\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 20\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m i \u001b[38;5;241m!=\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[1;32m 21\u001b[0m results \u001b[38;5;241m=\u001b[39m results\u001b[38;5;241m.\u001b[39mappend(scen_results)\n", "File \u001b[0;32m~/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pymagicc/core.py:342\u001b[0m, in \u001b[0;36mMAGICCBase.run\u001b[0;34m(self, scenario, only, debug, **kwargs)\u001b[0m\n\u001b[1;32m 338\u001b[0m kwargs\u001b[38;5;241m.\u001b[39msetdefault(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mrundate\u001b[39m\u001b[38;5;124m\"\u001b[39m, get_date_time_string())\n\u001b[1;32m 340\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mupdate_config(\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[0;32m--> 342\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcheck_config\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 344\u001b[0m exec_dir \u001b[38;5;241m=\u001b[39m basename(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39moriginal_dir)\n\u001b[1;32m 345\u001b[0m command \u001b[38;5;241m=\u001b[39m [join(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mroot_dir, exec_dir, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mbinary_name)]\n", "File \u001b[0;32m~/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pymagicc/core.py:504\u001b[0m, in \u001b[0;36mMAGICCBase.check_config\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 502\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m k\u001b[38;5;241m.\u001b[39mstartswith(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mfile_emisscen_\u001b[39m\u001b[38;5;124m\"\u001b[39m):\n\u001b[1;32m 503\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m usr_cfg[nml_to_check][k] \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m [\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNONE\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m\"\u001b[39m]:\n\u001b[0;32m--> 504\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_check_failed\u001b[49m\u001b[43m(\u001b[49m\u001b[43memisscen_error_msg\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 506\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_check_config()\n", "File \u001b[0;32m~/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pymagicc/core.py:462\u001b[0m, in \u001b[0;36mMAGICCBase._check_failed\u001b[0;34m(self, msg)\u001b[0m\n\u001b[1;32m 460\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_check_failed\u001b[39m(\u001b[38;5;28mself\u001b[39m, msg):\n\u001b[1;32m 461\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mstrict:\n\u001b[0;32m--> 462\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(msg)\n\u001b[1;32m 463\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 464\u001b[0m warnings\u001b[38;5;241m.\u001b[39mwarn(msg)\n", @@ -470,7 +469,6 @@ "# NBVAL_SKIP\n", "exe_path = os.environ.get(\"MAGICC_EXECUTABLE_7\", \"../../magicc/run/magicc\")\n", "root_dir = os.path.dirname(os.path.dirname(exe_path)) + \"-overwrite\"\n", - "print(root_dir)\n", "with MAGICC7(root_dir=root_dir) as magicc:\n", " # binary readers aren't yet ready and we can't do this through\n", " # the run method just yet\n", @@ -510,7 +508,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 11, "metadata": {}, "outputs": [ { @@ -807,43 +805,25 @@ }, { "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [], - "source": [ - "# TODO: remake conda environment clean in case this is importing the wrong pyam\n", - "import pyam" - ] - }, - { - "cell_type": "code", - "execution_count": null, + "execution_count": 12, "metadata": {}, "outputs": [ { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 39, - "metadata": {}, - "output_type": "execute_result" + "ename": "ImportError", + "evalue": "cannot import name 'reshape_line_plot' from 'pyam.plotting' (/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pyam/plotting.py)", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mImportError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[12], line 3\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;66;03m# NBVAL_SKIP\u001b[39;00m\n\u001b[1;32m 2\u001b[0m \u001b[38;5;66;03m# TODO: move into OpenSCMDataFrame or pyam\u001b[39;00m\n\u001b[0;32m----> 3\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mpyam\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mplotting\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m reshape_line_plot\n\u001b[1;32m 6\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mget_reference_period_mean\u001b[39m(df, reference_period, x\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124myear\u001b[39m\u001b[38;5;124m\"\u001b[39m, y\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mvalue\u001b[39m\u001b[38;5;124m\"\u001b[39m):\n\u001b[1;32m 7\u001b[0m ref_period_start, ref_period_end \u001b[38;5;241m=\u001b[39m reference_period\n", + "\u001b[0;31mImportError\u001b[0m: cannot import name 'reshape_line_plot' from 'pyam.plotting' (/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pyam/plotting.py)" + ] } ], - "source": [ - "pyam.plotting" - ] - }, - { - "cell_type": "code", - "execution_count": 75, - "metadata": {}, - "outputs": [], "source": [ "# NBVAL_SKIP\n", "# TODO: move into OpenSCMDataFrame or pyam\n", - "from pyam.plotting import reshape_mpl\n", + "from pyam.plotting import reshape_line_plot\n", "\n", "\n", "def get_reference_period_mean(df, reference_period, x=\"year\", y=\"value\"):\n", @@ -853,7 +833,7 @@ " ), \"reference period must go from earlier to later\"\n", "\n", " # type assertion on start and end?\n", - " adf = reshape_mpl(df, x=x, y=y, idx_cols=['model', 'scenario'])\n", + " adf = reshape_line_plot(df, x=x, y=y)\n", " mdf = adf.loc[ref_period_start:ref_period_end].mean()\n", "\n", " return mdf\n", @@ -865,9 +845,9 @@ " ref_period_start < ref_period_end\n", " ), \"reference period must go from earlier to later\"\n", "\n", - " adf = reshape_mpl(mdata.copy(), x=x, y=y, idx_cols=['model', 'scenario'])\n", + " adf = reshape_line_plot(mdata.data.copy(), x=x, y=y)\n", " mdf = get_reference_period_mean(\n", - " mdata.copy(), reference_period, x=x, y=y\n", + " mdata.data.copy(), reference_period, x=x, y=y\n", " )\n", "\n", " bdf = adf - mdf\n", @@ -939,75 +919,18 @@ }, { "cell_type": "code", - "execution_count": 76, + "execution_count": 13, "metadata": {}, "outputs": [ { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/scmdata/run.py:905: FutureWarning: Dtype inference on a pandas object (Series, Index, ExtensionArray) is deprecated. The Index constructor will keep the original dtype in the future. Call `infer_objects` on the result to get the old behavior.\n", - " df.columns = pd.Index(columns, name=\"time\")\n" - ] - }, - { - "data": { - "text/plain": [ - "\n", - "Index:\n", - " * model : AIM, IMAGE, MESSAGE, MiniCAM (4)\n", - " * scenario : RCP26, RCP45, RCP60, RCP85 (4)\n", - "Timeseries data coordinates:\n", - " region : World (1)\n", - " variable : Surface Temperature (1)\n", - " unit : K (1)\n", - " time : 1765-01-01 00:00:00, 1766-01-01 00:00:00, ... 2100-01-01 00:00:00 (336)\n", - " climate_model : MAGICC7 (1)\n", - " todo : not_relevant (1)" - ] - }, - "execution_count": 76, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results.filter(variable=\"Surface Temperature\", region=\"World\").to_iamdataframe()" - ] - }, - { - "cell_type": "code", - "execution_count": 77, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/seangtkelley/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/scmdata/run.py:905: FutureWarning: Dtype inference on a pandas object (Series, Index, ExtensionArray) is deprecated. The Index constructor will keep the original dtype in the future. Call `infer_objects` on the result to get the old behavior.\n", - " df.columns = pd.Index(columns, name=\"time\")\n" - ] - }, - { - "ename": "KeyError", - "evalue": "\"Level ['model', 'scenario', 'time'] not found\"", + "ename": "NameError", + "evalue": "name 'line_plot' is not defined", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", - "File \u001b[0;32m~/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pandas/core/indexes/multi.py:1664\u001b[0m, in \u001b[0;36mMultiIndex._get_level_number\u001b[0;34m(self, level)\u001b[0m\n\u001b[1;32m 1663\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m-> 1664\u001b[0m level \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mnames\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mindex\u001b[49m\u001b[43m(\u001b[49m\u001b[43mlevel\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1665\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m err:\n", - "\u001b[0;31mValueError\u001b[0m: ['model', 'scenario', 'time'] is not in list", - "\nThe above exception was the direct cause of the following exception:\n", - "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[77], line 4\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;66;03m# NBVAL_SKIP\u001b[39;00m\n\u001b[1;32m 2\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mdatetime\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m datetime\n\u001b[0;32m----> 4\u001b[0m \u001b[43mline_plot\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 5\u001b[0m \u001b[43m \u001b[49m\u001b[43mresults\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfilter\u001b[49m\u001b[43m(\u001b[49m\u001b[43mvariable\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mSurface Temperature\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mregion\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mWorld\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mto_iamdataframe\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 6\u001b[0m \u001b[43m \u001b[49m\u001b[43m(\u001b[49m\u001b[43mdatetime\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m1850\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdatetime\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m1900\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 7\u001b[0m \u001b[43m \u001b[49m\u001b[43mhighlight_kwargs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m{\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mcolor\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mgrey\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43malpha\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m0.5\u001b[39;49m\u001b[43m}\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 8\u001b[0m \u001b[43m \u001b[49m\u001b[43mcolor\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mscenario\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 9\u001b[0m \u001b[43m \u001b[49m\u001b[43mmarker\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mclimate_model\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 10\u001b[0m \u001b[43m)\u001b[49m\n", - "Cell \u001b[0;32mIn[75], line 83\u001b[0m, in \u001b[0;36mline_plot\u001b[0;34m(magiccdata, reference_period, x, y, highlight_kwargs, **kwargs)\u001b[0m\n\u001b[1;32m 74\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mline_plot\u001b[39m(\n\u001b[1;32m 75\u001b[0m magiccdata,\n\u001b[1;32m 76\u001b[0m reference_period\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 80\u001b[0m \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs,\n\u001b[1;32m 81\u001b[0m ):\n\u001b[1;32m 82\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m reference_period \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m---> 83\u001b[0m bdf \u001b[38;5;241m=\u001b[39m \u001b[43madjust_to_baseline\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmagiccdata\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mreference_period\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mx\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mx\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43my\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 84\u001b[0m ax \u001b[38;5;241m=\u001b[39m bdf\u001b[38;5;241m.\u001b[39mline_plot(x\u001b[38;5;241m=\u001b[39mx, y\u001b[38;5;241m=\u001b[39my, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[1;32m 85\u001b[0m highlight_reference_period(ax, reference_period, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mhighlight_kwargs)\n", - "Cell \u001b[0;32mIn[75], line 25\u001b[0m, in \u001b[0;36madjust_to_baseline\u001b[0;34m(mdata, reference_period, x, y)\u001b[0m\n\u001b[1;32m 20\u001b[0m ref_period_start, ref_period_end \u001b[38;5;241m=\u001b[39m reference_period\n\u001b[1;32m 21\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m (\n\u001b[1;32m 22\u001b[0m ref_period_start \u001b[38;5;241m<\u001b[39m ref_period_end\n\u001b[1;32m 23\u001b[0m ), \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mreference period must go from earlier to later\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m---> 25\u001b[0m adf \u001b[38;5;241m=\u001b[39m \u001b[43mreshape_mpl\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmdata\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcopy\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mx\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mx\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43my\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43midx_cols\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mmodel\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mscenario\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 26\u001b[0m mdf \u001b[38;5;241m=\u001b[39m get_reference_period_mean(\n\u001b[1;32m 27\u001b[0m mdata\u001b[38;5;241m.\u001b[39mcopy(), reference_period, x\u001b[38;5;241m=\u001b[39mx, y\u001b[38;5;241m=\u001b[39my\n\u001b[1;32m 28\u001b[0m )\n\u001b[1;32m 30\u001b[0m bdf \u001b[38;5;241m=\u001b[39m adf \u001b[38;5;241m-\u001b[39m mdf\n", - "File \u001b[0;32m~/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pyam/plotting.py:254\u001b[0m, in \u001b[0;36mreshape_mpl\u001b[0;34m(df, x, y, idx_cols, **kwargs)\u001b[0m\n\u001b[1;32m 251\u001b[0m idx_cols \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m [x]\n\u001b[1;32m 253\u001b[0m \u001b[38;5;66;03m# check for duplicates\u001b[39;00m\n\u001b[0;32m--> 254\u001b[0m rows \u001b[38;5;241m=\u001b[39m \u001b[43mdf\u001b[49m\u001b[43m[\u001b[49m\u001b[43midx_cols\u001b[49m\u001b[43m]\u001b[49m\u001b[38;5;241m.\u001b[39mduplicated()\n\u001b[1;32m 255\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28many\u001b[39m(rows):\n\u001b[1;32m 256\u001b[0m raise_data_error(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mDuplicates in plot data\u001b[39m\u001b[38;5;124m\"\u001b[39m, df\u001b[38;5;241m.\u001b[39mloc[rows, idx_cols])\n", - "File \u001b[0;32m~/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pyam/core.py:258\u001b[0m, in \u001b[0;36mIamDataFrame.__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 256\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmeta\u001b[38;5;241m.\u001b[39m\u001b[38;5;21m__getitem__\u001b[39m(key)\n\u001b[1;32m 257\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 258\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_data_column\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkey\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m~/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pyam/core.py:467\u001b[0m, in \u001b[0;36mIamDataFrame.get_data_column\u001b[0;34m(self, column)\u001b[0m\n\u001b[1;32m 453\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mget_data_column\u001b[39m(\u001b[38;5;28mself\u001b[39m, column):\n\u001b[1;32m 454\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"Return a `column` from the timeseries data in long format\u001b[39;00m\n\u001b[1;32m 455\u001b[0m \n\u001b[1;32m 456\u001b[0m \u001b[38;5;124;03m Equivalent to :meth:`IamDataFrame.data[column] `.\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 465\u001b[0m \u001b[38;5;124;03m pd.Series\u001b[39;00m\n\u001b[1;32m 466\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[0;32m--> 467\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m pd\u001b[38;5;241m.\u001b[39mSeries(\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_data\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mindex\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_level_values\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcolumn\u001b[49m\u001b[43m)\u001b[49m, name\u001b[38;5;241m=\u001b[39mcolumn)\n", - "File \u001b[0;32m~/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pandas/core/indexes/multi.py:1832\u001b[0m, in \u001b[0;36mMultiIndex.get_level_values\u001b[0;34m(self, level)\u001b[0m\n\u001b[1;32m 1784\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mget_level_values\u001b[39m(\u001b[38;5;28mself\u001b[39m, level) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Index: \u001b[38;5;66;03m# type: ignore[override]\u001b[39;00m\n\u001b[1;32m 1785\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 1786\u001b[0m \u001b[38;5;124;03m Return vector of label values for requested level.\u001b[39;00m\n\u001b[1;32m 1787\u001b[0m \n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 1830\u001b[0m \u001b[38;5;124;03m Index([1.0, nan, 2.0], dtype='float64')\u001b[39;00m\n\u001b[1;32m 1831\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[0;32m-> 1832\u001b[0m level \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_get_level_number\u001b[49m\u001b[43m(\u001b[49m\u001b[43mlevel\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1833\u001b[0m values \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_get_level_values(level)\n\u001b[1;32m 1834\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m values\n", - "File \u001b[0;32m~/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pandas/core/indexes/multi.py:1667\u001b[0m, in \u001b[0;36mMultiIndex._get_level_number\u001b[0;34m(self, level)\u001b[0m\n\u001b[1;32m 1665\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m err:\n\u001b[1;32m 1666\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m is_integer(level):\n\u001b[0;32m-> 1667\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mLevel \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mlevel\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m not found\u001b[39m\u001b[38;5;124m\"\u001b[39m) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01merr\u001b[39;00m\n\u001b[1;32m 1668\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m level \u001b[38;5;241m<\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[1;32m 1669\u001b[0m level \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mnlevels\n", - "\u001b[0;31mKeyError\u001b[0m: \"Level ['model', 'scenario', 'time'] not found\"" + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[13], line 4\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;66;03m# NBVAL_SKIP\u001b[39;00m\n\u001b[1;32m 2\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mdatetime\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m datetime\n\u001b[0;32m----> 4\u001b[0m \u001b[43mline_plot\u001b[49m(\n\u001b[1;32m 5\u001b[0m results\u001b[38;5;241m.\u001b[39mfilter(variable\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mSurface Temperature\u001b[39m\u001b[38;5;124m\"\u001b[39m, region\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mWorld\u001b[39m\u001b[38;5;124m\"\u001b[39m)\u001b[38;5;241m.\u001b[39mto_iamdataframe(),\n\u001b[1;32m 6\u001b[0m (datetime(\u001b[38;5;241m1850\u001b[39m, \u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m1\u001b[39m), datetime(\u001b[38;5;241m1900\u001b[39m, \u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m1\u001b[39m)),\n\u001b[1;32m 7\u001b[0m highlight_kwargs\u001b[38;5;241m=\u001b[39m{\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcolor\u001b[39m\u001b[38;5;124m\"\u001b[39m: \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mgrey\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124malpha\u001b[39m\u001b[38;5;124m\"\u001b[39m: \u001b[38;5;241m0.5\u001b[39m},\n\u001b[1;32m 8\u001b[0m color\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mscenario\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m 9\u001b[0m marker\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mclimate_model\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m 10\u001b[0m )\n", + "\u001b[0;31mNameError\u001b[0m: name 'line_plot' is not defined" ] } ], @@ -1033,7 +956,7 @@ }, { "cell_type": "code", - "execution_count": 78, + "execution_count": 14, "metadata": {}, "outputs": [], "source": [ @@ -1043,21 +966,18 @@ }, { "cell_type": "code", - "execution_count": 79, + "execution_count": 15, "metadata": {}, "outputs": [ { - "ename": "KeyError", - "evalue": "\"[['model', 'scenario', 'time']] is not in metadata\"", + "ename": "NameError", + "evalue": "name 'adjust_to_baseline' is not defined", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[79], line 4\u001b[0m\n\u001b[1;32m 2\u001b[0m tempdf \u001b[38;5;241m=\u001b[39m results\u001b[38;5;241m.\u001b[39mfilter(variable\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mSurface Temperature\u001b[39m\u001b[38;5;124m\"\u001b[39m, region\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mWorld\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 3\u001b[0m ref_period \u001b[38;5;241m=\u001b[39m (datetime(\u001b[38;5;241m1850\u001b[39m, \u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m1\u001b[39m), datetime(\u001b[38;5;241m1900\u001b[39m, \u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m1\u001b[39m))\n\u001b[0;32m----> 4\u001b[0m bdf \u001b[38;5;241m=\u001b[39m \u001b[43madjust_to_baseline\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtempdf\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mref_period\u001b[49m\u001b[43m,\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 5\u001b[0m fg \u001b[38;5;241m=\u001b[39m sns\u001b[38;5;241m.\u001b[39mrelplot(\n\u001b[1;32m 6\u001b[0m x\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtime\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m 7\u001b[0m y\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mvalue\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 11\u001b[0m data\u001b[38;5;241m=\u001b[39mbdf\u001b[38;5;241m.\u001b[39mdata,\n\u001b[1;32m 12\u001b[0m )\n\u001b[1;32m 13\u001b[0m ax \u001b[38;5;241m=\u001b[39m fg\u001b[38;5;241m.\u001b[39maxes[\u001b[38;5;241m0\u001b[39m][\u001b[38;5;241m0\u001b[39m]\n", - "Cell \u001b[0;32mIn[75], line 25\u001b[0m, in \u001b[0;36madjust_to_baseline\u001b[0;34m(mdata, reference_period, x, y)\u001b[0m\n\u001b[1;32m 20\u001b[0m ref_period_start, ref_period_end \u001b[38;5;241m=\u001b[39m reference_period\n\u001b[1;32m 21\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m (\n\u001b[1;32m 22\u001b[0m ref_period_start \u001b[38;5;241m<\u001b[39m ref_period_end\n\u001b[1;32m 23\u001b[0m ), \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mreference period must go from earlier to later\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m---> 25\u001b[0m adf \u001b[38;5;241m=\u001b[39m \u001b[43mreshape_mpl\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmdata\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcopy\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mx\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mx\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43my\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43midx_cols\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mmodel\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mscenario\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 26\u001b[0m mdf \u001b[38;5;241m=\u001b[39m get_reference_period_mean(\n\u001b[1;32m 27\u001b[0m mdata\u001b[38;5;241m.\u001b[39mcopy(), reference_period, x\u001b[38;5;241m=\u001b[39mx, y\u001b[38;5;241m=\u001b[39my\n\u001b[1;32m 28\u001b[0m )\n\u001b[1;32m 30\u001b[0m bdf \u001b[38;5;241m=\u001b[39m adf \u001b[38;5;241m-\u001b[39m mdf\n", - "File \u001b[0;32m~/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/pyam/plotting.py:254\u001b[0m, in \u001b[0;36mreshape_mpl\u001b[0;34m(df, x, y, idx_cols, **kwargs)\u001b[0m\n\u001b[1;32m 251\u001b[0m idx_cols \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m [x]\n\u001b[1;32m 253\u001b[0m \u001b[38;5;66;03m# check for duplicates\u001b[39;00m\n\u001b[0;32m--> 254\u001b[0m rows \u001b[38;5;241m=\u001b[39m \u001b[43mdf\u001b[49m\u001b[43m[\u001b[49m\u001b[43midx_cols\u001b[49m\u001b[43m]\u001b[49m\u001b[38;5;241m.\u001b[39mduplicated()\n\u001b[1;32m 255\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28many\u001b[39m(rows):\n\u001b[1;32m 256\u001b[0m raise_data_error(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mDuplicates in plot data\u001b[39m\u001b[38;5;124m\"\u001b[39m, df\u001b[38;5;241m.\u001b[39mloc[rows, idx_cols])\n", - "File \u001b[0;32m~/miniconda3/envs/climate-model-pymagicc/lib/python3.10/site-packages/scmdata/run.py:605\u001b[0m, in \u001b[0;36mBaseScmRun.__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 602\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m:\n\u001b[1;32m 603\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_meta_column(key)\u001b[38;5;241m.\u001b[39mastype(\u001b[38;5;28mfloat\u001b[39m)\n\u001b[0;32m--> 605\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m[\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mkey\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m] is not in metadata\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", - "\u001b[0;31mKeyError\u001b[0m: \"[['model', 'scenario', 'time']] is not in metadata\"" + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[15], line 4\u001b[0m\n\u001b[1;32m 2\u001b[0m tempdf \u001b[38;5;241m=\u001b[39m results\u001b[38;5;241m.\u001b[39mfilter(variable\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mSurface Temperature\u001b[39m\u001b[38;5;124m\"\u001b[39m, region\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mWorld\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 3\u001b[0m ref_period \u001b[38;5;241m=\u001b[39m (datetime(\u001b[38;5;241m1850\u001b[39m, \u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m1\u001b[39m), datetime(\u001b[38;5;241m1900\u001b[39m, \u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m1\u001b[39m))\n\u001b[0;32m----> 4\u001b[0m bdf \u001b[38;5;241m=\u001b[39m \u001b[43madjust_to_baseline\u001b[49m(tempdf, ref_period,)\n\u001b[1;32m 5\u001b[0m fg \u001b[38;5;241m=\u001b[39m sns\u001b[38;5;241m.\u001b[39mrelplot(\n\u001b[1;32m 6\u001b[0m x\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtime\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m 7\u001b[0m y\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mvalue\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 11\u001b[0m data\u001b[38;5;241m=\u001b[39mbdf\u001b[38;5;241m.\u001b[39mdata,\n\u001b[1;32m 12\u001b[0m )\n\u001b[1;32m 13\u001b[0m ax \u001b[38;5;241m=\u001b[39m fg\u001b[38;5;241m.\u001b[39maxes[\u001b[38;5;241m0\u001b[39m][\u001b[38;5;241m0\u001b[39m]\n", + "\u001b[0;31mNameError\u001b[0m: name 'adjust_to_baseline' is not defined" ] } ],