{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "9f7d9a2a-a991-4c33-96c6-9a29bb14f170", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Populating the interactive namespace from numpy and matplotlib\n" ] } ], "source": [ "%pylab ipympl \n", "\n", "from multizone import mppnp_reader\n", "import multizone_plot as mzp" ] }, { "cell_type": "code", "execution_count": 2, "id": "a3a32481-cecb-4cfc-ab6b-f1db18a8fb95", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Reading in data for cycle block 0000001. This may take a while.\n", "Searching files, please wait.......\n", "Writing preprocessor files\n", "my_test_hif.0000001.out.h5\n", "Warning this method will overwrite /data/niagara_project/projects/ocmerger_issa2025/RUNS/MLT_RUNS/hif7.95E+03/H5_out/h5Preproc.txt\n", "Would you like to continue? (y)es or (n)no?\n" ] }, { "name": "stdin", "output_type": "stream", "text": [ "--> y\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Yes selected\n", "Continuing as normal\n", "Reading in data for cycle block 0010001. This may take a while.\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Exception in thread Thread-3:\n", "Traceback (most recent call last):\n", " File \"/usr/lib/python3.6/threading.py\", line 916, in _bootstrap_inner\n", " self.run()\n", " File \"/usr/local/lib/python3.6/dist-packages/nugridpy/h5T.py\", line 458, in run\n", " write(self.preprocName,header,dcols,data,sldir=self.filename)\n", " File \"/usr/local/lib/python3.6/dist-packages/nugridpy/ascii_table.py\", line 480, in write\n", " tmp1=data_fmt.format(data[i][j])\n", "ValueError: Unknown format code 'f' for object of type 'str'\n", "\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Searching files, please wait.......\n", "Writing preprocessor files\n", "my_test_hif.0010001.out.h5\n", "Warning this method will overwrite /data/niagara_project/projects/ocmerger_issa2025/RUNS/MLT_RUNS/hif7.95E+03/H5_out/h5Preproc.txt\n", "Would you like to continue? (y)es or (n)no?\n" ] }, { "name": "stdin", "output_type": "stream", "text": [ "--> y\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Yes selected\n", "Continuing as normal\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Exception in thread Thread-5:\n", "Traceback (most recent call last):\n", " File \"/usr/lib/python3.6/threading.py\", line 916, in _bootstrap_inner\n", " self.run()\n", " File \"/usr/local/lib/python3.6/dist-packages/nugridpy/h5T.py\", line 458, in run\n", " write(self.preprocName,header,dcols,data,sldir=self.filename)\n", " File \"/usr/local/lib/python3.6/dist-packages/nugridpy/ascii_table.py\", line 480, in write\n", " tmp1=data_fmt.format(data[i][j])\n", "ValueError: Unknown format code 'f' for object of type 'str'\n", "\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "WARNING:\n", "This initial abundance file uses an element name that does\n", "not contain the mass number in the 3rd to 5th position.\n", "It is assumed that this is the proton and we will change\n", "the name to 'h 1' to be consistent with the notation used\n", "in iniab.dat files\n", "Reading reaction cross-section information. This may take a while.\n", "Processed 0/404 files\n", "Processed 50/404 files\n", "Processed 100/404 files\n", "Processed 150/404 files\n", "Processed 200/404 files\n", "Processed 250/404 files\n", "Processed 300/404 files\n", "Processed 350/404 files\n", "Processed 400/404 files\n", "WARNING:\n", "This initial abundance file uses an element name that does\n", "not contain the mass number in the 3rd to 5th position.\n", "It is assumed that this is the proton and we will change\n", "the name to 'h 1' to be consistent with the notation used\n", "in iniab.dat files\n", "Ingestion rate is understood to be in Msun/second\n" ] } ], "source": [ "MLT = mppnp_reader(initialpath = \"/data/niagara_project/projects/ocmerger_issa2025/CONDITIONS/initial_abund.dat\",\n", " solarpath = \"/data/niagara_project/projects/ocmerger_issa2025/CONDITIONS/iniab2.0E-02GN93.ppn\",\n", " multizonepath = \"/data/niagara_project/projects/ocmerger_issa2025/RUNS/MLT_RUNS/hif7.95E+03/H5_out\",\n", " surfpath = \"/data/niagara_project/projects/ocmerger_issa2025/RUNS/MLT_RUNS/hif7.95E+03/H5_surf\",\n", " ingestionpath = \"/data/niagara_project/projects/ocmerger_issa2025/CONDITIONS/ingested_abund.ppn\",\n", " xsectionpath = \"/data/niagara_project/projects/ocmerger_issa2025/RUNS/MLT_RUNS/flux_run/fluxes_fixed\",\n", " networksetuppath = \"/data/niagara_project/projects/ocmerger_issa2025/RUNS/MLT_RUNS/flux_run/networksetup.txt\")" ] }, { "cell_type": "code", "execution_count": 45, "id": "87228a1e-0765-4fd9-aca5-031b329c0fcb", "metadata": { "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Reading in data for cycle block 0000001. This may take a while.\n", "Searching files, please wait.......\n", "Writing preprocessor files\n", "my_test_hif.0000001.out.h5\n", "Warning this method will overwrite /data/niagara_project/projects/ocmerger_issa2025/RUNS/PPM50_RUNS/hif7.95E+03/H5_out/h5Preproc.txt\n", "Would you like to continue? (y)es or (n)no?\n" ] }, { "name": "stdin", "output_type": "stream", "text": [ "--> y\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Yes selected\n", "Continuing as normal\n", "Reading in data for cycle block 0010001. This may take a while.\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Exception in thread Thread-9:\n", "Traceback (most recent call last):\n", " File \"/usr/lib/python3.6/threading.py\", line 916, in _bootstrap_inner\n", " self.run()\n", " File \"/usr/local/lib/python3.6/dist-packages/nugridpy/h5T.py\", line 458, in run\n", " write(self.preprocName,header,dcols,data,sldir=self.filename)\n", " File \"/usr/local/lib/python3.6/dist-packages/nugridpy/ascii_table.py\", line 480, in write\n", " tmp1=data_fmt.format(data[i][j])\n", "ValueError: Unknown format code 'f' for object of type 'str'\n", "\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Searching files, please wait.......\n", "Writing preprocessor files\n", "my_test_hif.0010001.out.h5\n", "Warning this method will overwrite /data/niagara_project/projects/ocmerger_issa2025/RUNS/PPM50_RUNS/hif7.95E+03/H5_out/h5Preproc.txt\n", "Would you like to continue? (y)es or (n)no?\n" ] }, { "name": "stdin", "output_type": "stream", "text": [ "--> y\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Yes selected\n", "Continuing as normal\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Exception in thread Thread-11:\n", "Traceback (most recent call last):\n", " File \"/usr/lib/python3.6/threading.py\", line 916, in _bootstrap_inner\n", " self.run()\n", " File \"/usr/local/lib/python3.6/dist-packages/nugridpy/h5T.py\", line 458, in run\n", " write(self.preprocName,header,dcols,data,sldir=self.filename)\n", " File \"/usr/local/lib/python3.6/dist-packages/nugridpy/ascii_table.py\", line 480, in write\n", " tmp1=data_fmt.format(data[i][j])\n", "ValueError: Unknown format code 'f' for object of type 'str'\n", "\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "WARNING:\n", "This initial abundance file uses an element name that does\n", "not contain the mass number in the 3rd to 5th position.\n", "It is assumed that this is the proton and we will change\n", "the name to 'h 1' to be consistent with the notation used\n", "in iniab.dat files\n", "Reading reaction cross-section information. This may take a while.\n", "Processed 0/404 files\n", "Processed 50/404 files\n", "Processed 100/404 files\n", "Processed 150/404 files\n", "Processed 200/404 files\n", "Processed 250/404 files\n", "Processed 300/404 files\n", "Processed 350/404 files\n", "Processed 400/404 files\n", "WARNING:\n", "This initial abundance file uses an element name that does\n", "not contain the mass number in the 3rd to 5th position.\n", "It is assumed that this is the proton and we will change\n", "the name to 'h 1' to be consistent with the notation used\n", "in iniab.dat files\n", "Ingestion rate is understood to be in Msun/second\n" ] } ], "source": [ "PPM50 = mppnp_reader(initialpath = \"/data/niagara_project/projects/ocmerger_issa2025/CONDITIONS/initial_abund.dat\",\n", " solarpath = \"/data/niagara_project/projects/ocmerger_issa2025/CONDITIONS/iniab2.0E-02GN93.ppn\",\n", " multizonepath = \"/data/niagara_project/projects/ocmerger_issa2025/RUNS/PPM50_RUNS/hif7.95E+03/H5_out\",\n", " surfpath = \"/data/niagara_project/projects/ocmerger_issa2025/RUNS/PPM50_RUNS/hif7.95E+03/H5_surf\",\n", " ingestionpath = \"/data/niagara_project/projects/ocmerger_issa2025/CONDITIONS/ingested_abund.ppn\",\n", " xsectionpath = \"/data/niagara_project/projects/ocmerger_issa2025/RUNS/PPM50_RUNS/flux_run/fluxes_fixed\",\n", " networksetuppath = \"/data/niagara_project/projects/ocmerger_issa2025/RUNS/PPM50_RUNS/flux_run/networksetup.txt\")" ] }, { "cell_type": "code", "execution_count": 11, "id": "11ee0389-8fb9-4176-90b4-fe24545b5a12", "metadata": {}, "outputs": [], "source": [ "from nugridpy import utils" ] }, { "cell_type": "code", "execution_count": 100, "id": "b01fe255-3d75-4794-82d5-41033fbe6401", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " reading ['iso_massf']...100%" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "df91b327673e4b8b84297af86b6dcec4", "version_major": 2, "version_minor": 0 }, "image/png": 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\n", " " ], "text/plain": [ "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "mass = MLT.get('out', 11000, 'mass').value\n", "\n", "ifig=100;plt.close(ifig);plt.figure(ifig, figsize=(6,5))\n", "\n", "for i, iso in enumerate(['O-16', 'Si-30', 'P-31', 'S-32', 'Cl-35', 'Ar-38', 'K-39', 'K-40', 'K-41', 'Sc-45']):\n", " \n", " X = MLT.get('out', 11000, iso)\n", " \n", " plt.plot(mass, np.log10(X), color=utils.linestylecb(i)[2], marker=utils.linestylecb(i)[1], \\\n", " linestyle=utils.linestylecb(i)[0], markevery=utils.linestylecb(i,a=max(3,int(len(mass)/8)), b=5)[3], label=mzp.format_iso(iso))\n", "\n", " \n", "\n", "plt.xlim(mass[0], mass[-1])\n", "plt.ylim(-9,0)\n", "plt.xlabel(r'Mass ($\\mathrm{M}_\\odot$)', fontsize=14)\n", "plt.ylabel(r'$\\log_{10}(X_i)$', fontsize=14)\n", "\n", "plt.xticks(fontsize=12)\n", "plt.yticks(fontsize=12)\n", "\n", "plt.legend(fontsize=12, ncol=4, loc='lower center')\n", "\n", "plt.tight_layout()\n", "\n", "plt.savefig('../figures/isotopes_in_oshell.pdf')" ] }, { "cell_type": "code", "execution_count": 80, "id": "4fd76469-c108-4c78-84d5-9667d6f4a131", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " reading ['iso_massf']...100%" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "b997228b6b984c92839fe119236e20af", "version_major": 2, "version_minor": 0 }, "image/png": 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cuLEBSlZ+KMCqpiiwIoQQoi/u7u5wd3dXWT5r1iw4OTlhwIAB5V+oclYth2kghBBCCNEnqsGqxpKSkhAXFwcLCwu9T5VACCGEFO7wXtVRgFXN5ebm8mNiEUIIIUQ3qImwGlOMd6LrkXsJIYSQ6o4CrGpMEWDl5+dDLpcbuDSEEEJI1UEBVjUmFAr5/xedM5EQQggh744CrGqM4zg+yKIpcwghhBDdoQCrmlNMmUM1WIQQQoju0FOE1ZyxsTEEAoqzCSGEEF2iAKua8/T0NHQRCCGEkCqHqi4IIYQQQnSMAixCCCGEEB2jJsJq7u3bt4iPj4elpSVq1qxp6OIQQgghVQLVYFVzcrkcubm5yMvLM3RRCCGEkCqDAqxqjoZpIIQQQnSPAqxqjgYaJYQQQnSPAqxqjmqwCCGEEN2jAKuaU9RgUYBFCCGE6A4FWNWcIsCSy+WQy+UGLg0hhBBSNdAwDdWcUCiERCIBx3FgjBm6OIQQQkiVQAFWNcdxHBo0aGDoYhBCCCFVSrVsIrx27Rr69esHNzc3GBsbw9nZGf7+/rh586ZW2y9ZsgQcx6m8jI2N1abftm0bGjRoAGNjY9SrVw8//fSTLg+HlLMLFy6gYcOGuHDhgqGLohN0PBVXVToWoOodDyHFqZYB1rNnzyAQCDBlyhRs2LABX3zxBWJjY9GxY0ecOXNG6/1s2rQJu3fv5l87duxQSbNlyxZMnDgRPj4++Omnn9CmTRvMmDED33zzjS4PiZQTxhjmz5+PsLAwzJ8/v9I3q9LxVFxV6ViAqnc8AAWMpHgcqwpXuQ5kZWWhdu3a8PX1LTHIWrJkCZYuXYqEhATY29trTJednQ03Nze89957+PPPP/nlo0aNwrFjxxAZGQkbGxutyhcVFQU3NzdERkbC1dVVu4PS0suXL5GXlwcPDw+YmJjodN+Gkp6ejhcvXiAnJ0fplZubi5ycHDRv3hxNmjQBAMTGxmLPnj2QyWR8Z//C/+/UqRO6desGAPj9998xbNgwPp+RI0eiXr164DgOANCmTRv06NEDAJCWlsbXVhau6VS89/X1Rc+ePQEAOTk52LRpE59GIBAo/d/Ly4svg0wmw86dOzWmdXNzQ8eOHfkyHjp0iM+zaNpXr15h1qxZfNrVq1ejefPmatNaWVnB19eXT3v37l3k5+er1OQKBAKYmprC29ubT/v8+XONacViMdzd3fm0sbGxkEqlamuJjYyMYGdnp3Se5XI5v/7SpUsYMGAAv/7MmTP8Z1w4XWVw9uxZ+Pv78+8LH0tlVNWOhzGG1q1b4/bt2/Dz88OtW7cqzbUF6PeeQgpQH6z/Z2pqCgcHB6SkpGi9DWMMaWlpsLCwUPuHdfnyZbx9+xZTp05VWj5t2jTs3bsXJ0+exKhRo8pa9DJTTJVT0Z8ijIiIwIkTJxAbG8u/4uLikJycjNTUVKxevRoTJ04EANy+fZsPSNRZvXo1H2BFR0fjyy+/1JiWMYZu3bqBMYbly5crrQsKClJ6HxAQwAdYqampWLhwocb9fvLJJ/wNJisrC59//rnGtKNGjeKPJz8/nz9OdQYMGKAUYA0bNkzjubW0tIRQKIRMJoNQKMSCBQs0pm3Xrh1u3LjBv+/Tpw/i4uLUpvX19UVwcDD/3t/fH69evVKb1svLC0+fPuXf9+jRAw8fPlSbtmbNmoiKiuLfd+/eHbdu3VKbFgAWLVqEHj16gOM4dO/eHZcuXeLXFQ4gjY2NkZ6ezq8bOnQoTp8+rTaI5TgOsbGx/Bhyn376KU6cOKEx7f3792FhYQEAWLhwIQ4fPqwSZCr+f/78eTg4OIAxhkmTJikdy6BBg9C0aVM+fVBQEH9j3Lp1K/bv3682f47j8PPPP8PT0xNAQcAdFBSkNi0ALFu2DF5eXgCA06dP82nV/Uj44osv0LBhQwDA9evXsXfvXrXpAODKlSv8tSYQCDB27FiMHDmSL4MiLcdxGDlyJJo2bQoAePToEfbt26d2vxzHoV+/fmjWrBmAgh+LBw4cUJuO4zh069YNzZs3BwC8efMGBw8eVBvIcxyH9957j0+bmJiIo0ePKu3z0aNHuH37NoCC75tz586hZ8+eSE1NxZ9//qk2f47j4OXlxf9QycrKwtmzZzWmrVWrFho3bgyg4O9ecf2qK6+zszN/LuRyOW7evKnx2GxtbavMj+mKrFoHWGlpacjLy0NiYiJ27dqF0NBQzJ8/X+vta9eujYyMDJiZmWHAgAH44Ycf4OTkxK9X3GBatmyptF2LFi0gEAgQHBxcIQIsgaCgpdjQAVZycjKCg4MRHByMBw8e4MWLFwgICMDgwYMBAC9evMBnn32mcfu3b9/y/7e3t0fNmjUhkUhgbGys8lLcbADAzs4Oo0ePhkAggFAoVPm3devWAIBz584hNDRUJd8+ffrA3d0djDG0adOGX25mZoaJEyeCMca/APD/L5xWJBJhxIgRSmkVL7lcDj8/Pz6tQCBA3759VdIo/q+4MSl07NgRMplMJW1ycrJSYKMYC83T0xMWFhYq+/Xw8FDar4eHB0xNTdWWofDfAQDY2toiNTVVbVozMzOltCKRCCKRSOX4gP/drLVV+MZXtLK+8PWen5+vtC47OxsZGRka91u4HElJSYiOjtaYtnC+0dHRePLkica0inNw7tw5REZGKq3LzMzEX3/9xb/Pzc3l///8+XNcvHhR434LB49hYWE4evSoxrQzZ87k///48WPs2bNHY9qPPvqIv6k/evQIW7Zs0Zi2MLlcjri4OKxZs0bt+mbNmvHX8ZMnT7By5UqN+3J1deUDrOfPn2PBggUa065bt44Pml6+fImAgACNaRW1uQDw33//4ZNPPtGYluM4PpiPjo4u9ns9ICCAD7ASExPx4Ycfakw7efJkbN68GUDB/apwDWBRo0aNwu7duwEUXBuFf2QVNXDgQKxfv17jeqIb1TrAGjp0KM6ePQsAEIvFmDx5MhYtWlTidjY2Npg+fTratGkDiUSC69evY8OGDfj3339x584dWFpaAgBiYmIgFArh6OiotL1YLIadnV2xX8q5ublKX6CFvyB1TXGz0Fdr8YULFzBjxgysX78e77//vtK6Z8+eYfny5bhx4wbCw8NVtu3WrRsfYHl6emLQoEFwdnbmX05OTrC1tYWVlRVq1qzJb9ekSROlmo7i1KpVC7t27So2DWMMixYt4n+BKwiFQsTHx+OPP/5Qufnb2tri119/1aoMFhYWKrVhmojFYvzxxx9apQUKalKLUjRvqDsee3t7rZo7/vnnH63LoPilr427d+9qXFf0Gr1+/TrfpNuhQwfcv39f5XgUN76jR4/yNbXqAtnCfv31V2RmZqoEg4qX4kcJAHzzzTeYN2+eUjpNAeRXX32FcePGqexT8d7Gxoa/1gQCgVIQKBAIULt2baxevRoAlILYESNGoGnTpip5K/5fuAmod+/efC2ZuuMrHEh36tQJ3333ncYfCXXq1OHT+vn5YenSpSpp5XI5tm3bhri4OKXj4TgOTk5OGDVqFDiOU9qufv36fLo6dergs88+U5s/Y0zpKWhXV1dMmDBBbTrGmFKztYODA4YPH64xbeEyWFlZoV+/fny6uLg4/Pvvv/x6xhgfzDdo0ID/nlN3nRX+zCQSCdq2bas2HWMMtWrV4tMKhUL4+vpqTFv4+09RU6YpbdF7EtETVsnJZDKWnZ2t1UsulyttGxwczM6dO8e2bdvGOnbsyMaPH8/S09PfqRx79+5lANjq1av5ZRMmTGAmJiZq07u5ubH+/ftr3N/ixYsZAJVXZGTkO5WvOM+ePWPBwcEsOTm5zPsKiUhlv1yNYFl5UsYYYxcfJzAP7yYMAGvRogU7deoU++uvv/j0L168UDo+Dw8PNnDgQLZ06VJ24MAB9vLlyzKXSRfOnDmj9nwoXmfOnDF0EUuFjqfiqkrHwljVOx65XM78/PyYUChUOg6hUMj8/PxU7jMVVWRkpN7uKaRApQ+wLl++XOwfb+FXWFiYxv3k5uYyHx8fNmjQoHcui7OzM+vWrRv/ftq0aUwoFKpN6+DgwIYPH65xXzk5OSw1NZV/PX78WG9/DM+fP2fBwcEsKSmpzPv65vRLtv7iaxadks0YY2z88u0q52HAgAF8erlczlavXs3OnTunk/z1QfGFKhAI1F5XAoGgUn2x0vFUXFXpWBiresfDWNUJGCnA0r9K30To7e2tdngEdVxcXDSuE4vF6NevHwIDA5Gdnf1OHQDd3NyQlJSklJ9MJkN8fLxSlWxeXh7evn2LGjVqaNyXRCKBRCLh36elpZW6PNrSVR8sOWN4kZCJPClDj7om2PPLT9i9TLmTt1BoBFf3/1V7cxyHr776qkz56lteXh4iIiI0fj5yuRyRkZHIy8tTOmcVFR1PxVWVjgWoesfDNDTfKggEAqUHK0j1VukDLGdnZ4wbN04n+8rOzgZjDOnp6aUOsBhjCA8P5ztbAuA7Mt65cwe9e/fml9+5cwdyuVzpkXdDEolEEIvFSv1K3gkDAt73RExqLsYO7Ytbt1T76MhkUrw2boCjwbHo0dABZhJh2fIsBxKJBLdv30ZCQoLGNI6OjpXiBgHQ8VRkVelYgKp3PFUtYCT6VekDrHdRtEYJAFJSUnD48GG4ubkprYuIiEBWVpZS58iEhAQ4ODgobb9p0yYkJCQoPeXRtWtX2NraYtOmTUoB1qZNm2Bqaoo+ffro+tDeiZubGwAgMjISqampqFWrlta/vq4+S0JIZBoGNzKHo60VGriYw8rECHU6DMSde/cgk+YDhToQc5wA//z+E+zqv4cbL5LxlX8dOFiI9XJcuuTm5sZ/TlUBHU/FVZWOBahax1PVAkaiX9UywOrVqxdcXV3RunVrODo6IiIiAjt27EB0dDQOHDiglHbMmDG4evWq0lNGtWrVwrBhw9C4cWMYGxvjxo0b2L9/P3x9fTF58mQ+nYmJCZYvX45p06ZhyJAh6NmzJ65fv449e/Zg5cqVsLW1LbdjLolcLueHOahRowbEYu2Cnm3X/8PTSwew6OQWfPdNICZPnoyo5BzESc0gy89TSc+YHG/DHyEh7G98s2h8pQiuCCFEoSoFjPq2c+dOjB8/Xu26mJgYODs7l3OJyle1DLAmTJiA/fv3Y82aNUhJSYGNjQ3ee+89BAUFoUOHDiVu/9FHH+Gvv/7C4cOHkZOTg1q1amHOnDlYsGABTE1NldJOnToVIpEIP/zwA06cOAE3NzesWbNGaayZiqDwo+3a1l49fPgQ/6z9GM9DC8b7+uW3fRA16oNePvZ4cfoX/tHrojiOQ+gfm5D+xSg4W9IvPUIIqcqWLVumNPYgAFhbWxumMOWIpsqpJPQ5rUFCQgLi4+P5wRYbNmxYbA2WVCrFihUrsHLlSkilUlhaWmLV6kDckrwHgUCIMa0cMLJbM42jfAMFfefCw8OpKp0QQgygPKbKUdRg3b59W2XA7eqgWtZgEWVSqVRpJOviYu43b95g5MiRuHbtGgDgww8/xE8//QQnZxd4hCbgRUIWWtd15PspxKTkwNpUBBOxcmd26qdACCHVR3p6OkxNTSEUVvwHm3SFAixSqseJX7x4gRs3bsDc3BzrN2xC34FDYWNqBKGAQ58m/3s4wEyLfgq50oIncSRGZXx6kRBCSIXVpUsXZGRkQCwWo2fPnvjhhx9Qr149QxdL7yjAIvzwDIrJRRWT2KrTqVMn/PLLL+jYsSMiZbb48tATNHO3xMxuHqXKc8fNKFx9loRWHlaY2qVWyRsQQgjRufT0dKVxFouOwVgWpqamGDduHLp06QJLS0vcvXsXP/74I9q2bYt79+5V+YcFqOqAKM1F+PbtW6UqXLlcjsWLF+Ply5f8so8//hj16tVDTr4MRkIOtmaiUufpYlXwB+ztYl7G0hNCCHlXDRs2hJWVFf9SzHVZlFwuR05OjlYvRTeToUOHYseOHRgzZgwGDBiA5cuX4+zZs3j79m2xE3hXFVSDRZQGGC38//z8fHz00Uc4ePAgDhw4gPv37yv9sund2BG9GjkgX1b65yT8GznA180SphIhcqVy/P0yGa8TszGubU0aAZkQQsrJ48ePlSaK1lR7de3aNXTp0kWrfYaFhSmNHVlY+/bt0bp1a1y4cKH0ha1kKMAiSgFNWloapFIp5HI5hg8fjqNHj0IsFuPrr79W+4fHcRzERu8WEDn/fy1WnlSOvbeikS9j6OljjxrWxu92IIQQQkrFwsIClpaWJabT1bR0QMFYYk+fPtVqX5UZBVhEqUlQMVXQ+PHjcfz4cUgkEhw7dkxphHpdExsJ0NXbDsYiAYxF1GpNCCEVjS6npXv16pXKbChVEd3NCKysrGBvbw+gYMiGsWPH8sHV8ePHNQZXm69GYPffb5CZKy1zGUa0qoGBzZxha0YjuxNCSFWgbkqhU6dO4e7du3r90V5RUA0WAfC/kdy3bNmCP/74gw+uevbsqTZ9Tr4M/7xKAQAMblm1pzsghBBSem3btkWzZs3QsmVLWFlZ4d69e9i+fTvc3Nwwf/58QxdP7yjAIgDAzw4/dOhQ3L17FwsXLtQYXAEABw6jWtdAeq4UJiLdDRz3KiEL158nYfR7NSEQUGd3QgiprIYNG4aTJ0/i3LlzyMrKgouLCyZNmoTFixfDycnJ0MXTO5oqp5LQ57QGubm5CAsL49+7u7sbZCLqPKkcAQfCkJknw5RO7nivtnW5l4EQQqqD8pgqp7qjPlgE//zzD86fP8+/N9RUBmIjAQY0c0KX+rawe4extQghhJCKgpoIq7n4+Hh89NFHePPmDVauXInevXsXOxehQkpWPvJlDFYmRhDrcKqb7g3tdbYvQgghxFCoBqsak0qlGDZsGN68eQNPT0907NgR7u7uMDU1LXHbC2GJ+PLQE/x+J6YcSkoIIYRULhRgVWPz5s3DlStXYG5uju+//x7m5uYwMzODWFzyUAlSGYORkIOViX6a8hIz8vA6MUsv+yaEEEL0jZoIq6lTp07h+++/BwBs27YNtWvXLtX2w1vVwDA/F7zDLDkluvtfKn669B9sTUX4dog3jOhpQkIIIZUM1WBVQ3FxcRg/fjwAYObMmRgyZAjMzc3BcRyys7ORm5ur1X44jtNL8NPE1QKWJkaoYSNBRk7ZBzElhBBCyhvVYFVDR44cQXx8PBo3bozAwEBwHIc6deogPDwc4eHhcHV11TjhZ3kQCQVYPbA+zCSGeZqREEIIKSsKsKqhTz/9FC4uLqhbty6MjQsmVuY4jp/0WZunCLfdiISQ4/BhC2dYGuv+MqLgihBCSGVGAVY1NWDAAI3rSgqwGGO48SIZjAEDmul3NN5cqRwRb7NRz8lMr/kQQgghukR9sKoJuVyOr7/+GtHR0RrTKGqwSsIYMNzPBQObOcFUrL+apoT0PMza/xjfn3uN7HyZ3vIhhBBCdI0CrGril19+wfLly9GqVSuNndi1bSIUCDj09HFAf18nnQ4yWpS9uQhWJkawNDZCfFqe3vIhhBBCdI2aCKuBN2/eYM6cOQCAOXPmaOzAXpo+WOWB4zjM8a8Na1MRBFrWrhFCCCEVAdVgVXGMMUydOhXp6elo3bo1pk2bpjGttgFWrlSOxIw8ZObqv9nO1kxMwRUhhJBKh2qwqrhDhw7hxIkTEIlE2LZtW7ETOVtbW8PY2LjEqXJexmfi27Ov4WptjBUDvXRdZI2kckaDjhJCCKkUqmUN1rVr19CvXz+4ubnB2NgYzs7O8Pf3x82bN7Xa3sPDgx/WoOirXr16Smk1pQsMDNTHoSlJSkrC9OnTARRMi+Pj41NsenNzc9jb25cYYOXJGERCDsbi8rl87v6XivlHnmLP32/KJT9CCCGkrKplDdazZ88gEAgwZcoUODs7Izk5GXv27EHHjh1x8uRJ+Pv7F7v92rVrkZGRobTsv//+w8KFC9GjRw+V9N27d8eYMWOUljVr1qzsB1KCwMBAxMfHo0GDBpg/f77O9uvrZolfxzSGXF4+fbVEQg7RqbnIk8nBGNP6aUdCCCHEUKplgDVx4kRMnDhRadnUqVNRu3ZtrF27tsQAS90YUitWrAAAfPTRRyrrvLy8MGrUqHcv8DtavHgxpFIpBg8erNXI7Lm5ucjLy4NIJOIHIC2OoJya67ydzTG1szt8alhQcEUIIaRSqJYBljqmpqZwcHBASkrKO20fFBQET09PtG3bVu367OxscBynVeCiK2ZmZvjxxx+1Tp+UlIS4uDjY29vD1dVVjyUrHbGRAK08rQ1dDEIIIURr1bIPlkJaWhoSExPx5MkTzJ8/H6GhoejWrVup9xMcHIywsDCMHDlS7fqdO3fCzMwMJiYmaNiwIYKCgspa9GLdvHkTcrm81Ntp+xThP6+SsfOvKIREpr1T+QghhJCqrlrXYA0dOhRnz54FAIjFYkyePBmLFi0q9X727t0LQH3zYNu2bTF06FB4enoiOjoaGzZswEcffYTU1FR8+umnGveZm5urNCBoenq6VmW5c+cOOnbsiDZt2uDcuXMldlgvTNsA62lsJq48TYK1iQi+bpZa778sFNPz3I9Kx/i2NWEmqdaXLiGEkAqu0t+l5HI58vK0G+VbIpEo9eEJDAzE7NmzERkZid9++w15eXmQSqWlzn///v1o1qwZGjRooLK+6JOJEyZMQIsWLTB//nyMGzcOJiYmave7evVqLF26tFRlyc/Px8SJEyGXy+Hu7l6q4ArQPsBq5m4Fa1MR6juX3/yAHMfhdGgColNy4VfLCq1rW5db3oQQQiqXy5cv4+LFi7h58yaioqKQmJjIdwVq3LgxOnXqhL59+8LZ2Vl/hWA6dOnSJbZgwQLWuXNnVrduXWZtbc1q1KjBmjZtykaNGsV+/fVXFhMTo8ss2eXLlxkArV5hYWEa95Obm8t8fHzYoEGDSpX/pUuXGAD2/fffa73N5s2bGQB2/fp1jWlycnJYamoq/3r8+DEDwCIjIzVus2zZMgaA2dnZsfj4+FIdB2OMxcXFseDgYPb69WuNaQ7eiWYHbkez1Kz8Uu+/rM4/TmBH7sWwmJSccs+bEEKqksjIyBLvKZVNRkYGW7VqFfP09GQCgYBxHMc4jmMmJiasZs2azNbWlgmFQn65WCxmgwYNYjdu3NBLecpcg5WZmYn169fj119/xX///cfXfhgbG8PW1hbZ2dkIDQ3FgwcPsHfvXohEInzwwQcICAhAu3btypo9vL29sWPHDq3Suri4aFwnFovRr18/BAYGIjs7W2PNUlF79+6FQCDAiBEjtEoPAG5ubgAKOpVrIpFIlJ78S0srvr/TgwcPsHz5cgDA+vXr4eDgoHV5FLR5Qu/C47fIkcrRqIYFGpqYlzqPsni/gX255kcIIaRy2Lx5M5YuXYq4uDg0adIEy5cvR5s2bdCyZUtYWFjw6RhjeP78OW7duoVz587h+PHjOHr0KPr3748ffvgBnp6euitUWaKzTZs2MWdnZ8ZxHGvatClbuXIlu3TpEktLS1NKJ5fL2dOnT9muXbvYqFGjmIWFBRMIBGzgwIHs1atXZSmCTs2aNYsBYHFxcVqlz8nJYdbW1qxr166lyuenn35iANhff/2l9TbF/drIy8tjzZs3ZwDYgAEDmFwuL1V5FBISElhwcHCx52TnzUg2dvt9Nnb7fZaTJ3unfAghhBhWVavBMjIyYqNHj2YPHz4s1XZZWVns119/ZbVr12ZLly7VaZnKFGBVxAPShroAKjk5mbm5uTE3Nzel5f/995/GpsUjR44wAGzbtm1q16trpktLS2N16tRh9vb2LDc3V+syF/fHsGLFCgaA2djYlKkJNisri8XFxbGUlBSNaeRyOR9gPYvNeOe83pVMLmcv4zPZvf9Syz1vQgipKqpagPX06dMybS+VSnVe4VOmJsJHjx7By6v0c9GZmJhg4sSJGD9+PCIiIspShHfSq1cvuLq6onXr1nB0dERERAR27NiB6OhoHDhwQCntmDFjcPXqVbUdv/fu3QuJRIJBgwapzWfDhg04duwYPvjgA7i7uyMmJgbbt29HREQEdu/eDbFYrJPj6dOnDw4ePIgvv/yyTB32TExMSmwa5TgOiz+oi4ikHNR1LF0nel14FJ2BH869holIgO+HNICZRPPcioQQQqqHd4lFChMKhbptHkQZnyKsiAekjQkTJmD//v1Ys2YNUlJSYGNjg/feew9BQUHo0KGDVvtIS0vDyZMn0adPH1hZWalN065dO/z111/YunUr3r59CzMzM7Rq1Qrbt29H165ddXY8vr6+uH37NoyM9PtQqJwx5EnlqGVrAk/78g+uAMCnhjncbY3hZmOCfJkcAAVYhBBCKh6Oqaua0YHx48dj48aNMDExQXR0NGrUqKGPbKqNqKgouLm5ITIyEq6urmCM4enTp/D29tZZHlKpFLm5uRAIBGprsuLTcjHn8FMYiwTYPKqRzvItLamcwaicpukhhJCqqOg9pSr77LPP8N1338HY2BipqakaK0V0TW8juZuYmPDjU7m6usLBwQHdunVDQEAAduzYgXv37ikNpElKZ82aNWjUqBG+/fZbne0zIyMDz58/R1RUlNr1udKC0eHFRoadAICCK0IIIdpKTU1FTk4OAMDGxgYeHh7o378/Fi1ahEOHDuHZs2cljv/4LvTWprRx40b+/1FRUbh//z7/Onv2LJ4/fw6O41C3bl34+fnB398fw4YNg0BQrWfv0cqBAwcwe/ZsANBps2BJA4262hhjy+hG/980Z3hpOVJk58ngZFnyRNaEEEKqp127dvH/f/LkCe7fv48HDx7g/v372L17NyIiImBqagofHx/cunVLZ/mWy0juNWrUQI0aNdCrVy9+WW5uLkJDQ3H//n3cvn0bs2bNws2bN/Hzzz+XR5Eqre+//x6bNm0CUFDtGRAQoLN9lxRgcRwHiREHiYFrsADgytO3+O2vN2heyxKfdfUwdHEIIYRocOHCBaxatQp3796FXC6Hl5cX5syZg2HDhuk0n9OnTyvFGep4eXnBy8sLQ4YM4ZelpqbyQZcu6e1O+dlnn/FVcqmpqSrrJRIJWrRogQkTJmDTpk04deqU3idBrgrWrVuHvLw8DBo0CGvWrNFqcNCqqKa1MRiAjByZoYtCCCFEgx07dqBHjx4QiURYtWoVvvvuO3Ts2BGRkZE6z6t///7YunVrqbezsrJCx44dMX36dJ2Wp0w1WH/99Rd8fX3VznmnaPM0NjaGjY0N3N3d0bRpUzRp0oT/t169enyA0KhRo3eaaLk6GjBgAPbv3w+hULdP0JVUgxWRlI1/X6fAxcoY7era6DTv0vJ0MMXPIxrC3LjST6dJCCFVUnh4OKZNm4bPPvsM69at03t+NWvWxOTJkxEeHo4VK1Zotc2zZ8/KPCKCJmWqwerQoQN++OEHtet27doFa2trAAVtnt999x2aNGmC+/fv44svvoC3tzcsLCzQunVrAAU1Wrps7qrK3rx5o/PgCig5wIpMysGfDxLw96tkneddWkYCjoIrQgipwDZv3gyZTIZly5YBKHiQSk8DFwAAbt26hWbNmmH16tUYM2YMpFKpxrQPHz7E8OHD4ePjo7fylCnAEggEkMn+10RjY2ODX375RSWdor1z+fLlOHHiBMLDw5GcnIxTp05h9OjRZSlCtXT79m2cO3dO5/stKcBysZKge0N7NHcvn0dcCSGEVF4XLlyAt7c3Tp06BVdXV1hYWMDOzg6LFi2CXK77h6UcHR1x7do19O7dG3v27IG/v7/KPL63b99G//794evri99//x3NmzfXeTkUylQF4ODggJcvX/LvU1NTERsbq9W2ijbPjh07lqUI1ZJQKMSiRYvQo0cPnfbBEolEcHZ21lg7VtvBFLUdDDPAqDrJWfk4dDcWcWm5WNC7TrXtj0YIIe8qPT1dKQiRSCSQSHTzZPbz588hFAoxfvx4zJkzB02bNsWRI0ewYsUKSKVSrF69Wif5FGZqaorjx49j+vTp2Lx5M9q3b4+TJ0/i9evXWLlyJS5cuADGGNq3b4+FCxeiR48eOi+DQpkCrPfffx/79++HnZ0d+vfvr6sykRLIZDK+Fqtnz546269YLC7TVDvlzUQkwD+vUiCTM8Sl5cHZioZrIISQ0mjYsKHS+8WLF2PJkiUq6eRyOT+2ZUkkEgk4jkNGRgbkcjkCAwMxd+5cAMCgQYOQlJSEdevWYf78+bCwsCjzMRQlEAiwceNGeHp6Yu7cufD29kZOTg4YY+jWrRsWLVpULpU7ZRrJPTY2Fr1790ZISAhfe2Bvb4/33nsPzZo1g6+vL3x9feHh4aGr8lZbilF3FQQCAVq0aIFbt26VW82NTM4g4FChaoouPXkLZ0sJvJxMYSQ0/PARhBBSGSjuKY8fP0bNmjX55ZpqsK5cuYIuXbpote+wsDB4e3vD3NwcmZmZ+O+//+Du7s6v37VrF8aOHYurV6/qLdA5ceIEVq5cidu3bwMouG+tWLEC8+bN00t+6pSpBsvZ2Rl3797F1atXcenSJaxYsQJZWVn4888/8ccff/A3YisrKzRt2lQp6GrSpIlODqC6ksvliIyMRF5ens6qc+VyOT+6vrqpcg7cjsG5x4n4oKkjBjWvGDVdXb3tDF0EQgiptCwsLGBpaVliOm9vb+zYsUOrfbq4uAAoGAPz+fPncHJyUlrv6OgIAEhO1v0DUwcOHMCqVasQGhoKjuMwdOhQ9O3bFzNmzMDSpUvh5uaGUaNG6Txfdcr8GBbHcejcuTM6d+6MFStW4Msvv0RAQABCQkIQHBzM//vXX3/h6tWr/DaFO8cT7Z06dYq/WB0dHXUWXAFAfn4+nj59CoFAoDYAzvv/EdxpqhpCCKlenJ2dMW7cuFJt06JFCzx//hxv3rxB7dq1+eXR0dEACvpx65K3tzff72v06NGYP38+PwRD8+bN0atXL4wdOxaRkZHlUpOl0+fcd+3aBQ8PD1hYWKBDhw7o0KEDvy4/Px+hoaG4d+8eQkJCdJlttdK4cWODTcw5slUNfNjMGSJhxQqwYlNzERyRhrqOpqjnZGbo4hBCCAEwbNgw7N+/H9u2bcPKlSsBFLSU7NixA7a2tmjRooVO83v9+jUmTpyIr776Cp6enkrrGjZsiL///hu9e/fGwoULERERgY0bN+q1y4tOA6ziqt1EIhGaNWuGZs2a6TJLokMlDdMgNhIYfKJndc6HJeJi2Ft0rm9LARYhhFQQ/fv3R7du3bB69WokJiaiadOmOHbsGG7cuIEtW7botAUGAF69eqXUn6yoGjVq4MaNG/jwww+xZcsWvHnzBgcOHFDbJUYXKt7dkhhMcQGWPgeHK6vm7pZoUtMCXhRcEUJIhcFxHI4dO4YZM2bgxIkTCAgIQGxsLPbs2YNPPvlE5/kVF1wpmJub82Nw/vnnn+jcubPOy6FAQ2ETXuGqUsYY/14qk2PirlAAgEjIYXl/rwo1JIJPDQv41ND9o76EEELKxtzcHGvXrsXatWsNXRSekZERfvvtN7i6uiIwMFBv+ZSpBsvf359/BLK0MjMzERgYiA0bNpSlCKQcZOf/b8TdfBlDTGquAUtDCCGElN3KlSuxefNmve2/TAFWQkIC3nvvPXTp0gU7duxAampqidv8888/mD59OmrVqoXly5erPL5JDKdoDZaCmUSIr3oVPAFiZWIEe3NRuZdNG3lSOZ7HZRq6GIQQQiqJSZMm6W3fZRpoFAB+++03LF26FOHh4RAIBKhfvz5atGgBJycnWFtbIycnB0lJSXj69Cnu3LmD9PR0CIVCDB8+HCtWrFAafIxophgULjIyUm9PETLGEBMTA47j4OTkBIGg8nTRS8uRYvbvYZDJGX4a4QMzie4nwyaEkKqiPO4p5cnf3x/Lly+Hn59fqbfNzMzETz/9BAsLC0ybNk1nZSpzH6yxY8dizJgxOHXqFHbs2IErV65gz549KukUYysNHDgQEydO5AciIxUHx3GoUaOGoYvxTiyNjeBgLkaOVI6E9FyYSSrOnImEEEL0S9Gi1rFjR4wZMwYffvghrKysit3mn3/+wZ49e7B//35kZ2fjt99+02mZylyDpU5YWBiioqLw9u1bmJiYwMHBAT4+PiUeLNHMkL82olNyEBKZBidLCVrUqrjnMC1HCguJsEJN5UMIIRVRVavBAipei5peAiyie+X1x6CYKkcsFvOByl8vk/HLtUj41DDHlz1rF7c5IYSQSqAqBlhAQVeXwi1qSUlJKmnKq0WNhmkgSsLCwgAAPj4+EIkKOrPbmYnRro4NalhXnKEZSiKXMwhoSh9CCKlWOI5Dnz590KdPHwCGbVHTe4CVkZGBoKAg/P3334iNjQVQMKdR27ZtMWLECJibm+u7CKQUOI4DY0zpKcL6zmao71w5BvG8+SIZpx7Go5WnNfr70hOqhBBSnTVo0AANGjQwSN56fUzswYMHqFevHhYsWICMjAzUrl0btWvXRkZGBj8JY2hoqD6LoJVJkyaB4zj07dtX623CwsLg7+8Pc3Nz2NraYvTo0UhISFBJJ5fL8e2338LT0xPGxsZo0qQJ9u3bp8vik0LyZXK8ScnFw6h0QxeFEEJINabXGqxp06bB398fW7duhVCo/Ni8VCrFJ598gk8//RTXr1/XZzGKdefOHezcuRPGxsZabxMVFYWOHTvCysoKq1atQkZGBr7//ns8fPgQ//77L8RiMZ92wYIFCAwMxKRJk+Dn54fjx49j5MiR4DgOw4cP18chVWvN3C1hLjGiaXMIIYQoKe8WNb12cjcxMcG9e/c0Vs+FhYWhefPmyM7O1lcRisUYQ7t27dCgQQNcvHgRjRo1wp9//lnidlOnTsXOnTvx5MkT/qmDCxcuoHv37tiyZQs/x9KbN2/g6emJTz75BD///DOfZ6dOnfD69WuEh4erBJ6alFeHxAcPHkAul6NBgwb8RJy/Xo9EcEQahrZ0Ruf6dnrLmxBCSPmoqp3cNXnw4AF69uwJqVSKzp07w9HREQAQHx+PK1euQCQS4dy5c2jUqJHO8tRrE6GTkxPu3buncf29e/f4gzSE3bt3IzQ0FCtXrizVdocPH0bfvn2VHul8//334eXlhd9//51fdvz4ceTn52Pq1Kn8Mo7j8OmnnyIqKgp///132Q+iHGTmSpGVJwONfkAIIaQyUrSoxcbG4uDBg9iwYQM2bNiAgwcPIiYmBv7+/vj00091mqdemwgDAgIwceJE3Lt3D926deOnxYmLi8PFixexefNmvU60WJz09HTMnTsX8+fPh7Ozs9bbvXnzBvHx8WjZsqXKulatWuHUqVP8++DgYJiZmanU4LVq1Ypf3759+3c8gvIzob0bMnKksDSpHA+dZuRKce+/NKRmS/FBU8MF8IQQQiqGO3fu4JdfflHbamRkZIQvv/wSzZs312meer1jzpw5Ew4ODli7di3Wr18PmUwGABAKhWjWrBm2bt2KESNG6LMIGi1btgwmJiYICAgo1XYxMTEAoHbcDBcXFyQlJSE3NxcSiQQxMTFwcnJSGfhSsW10dLTGfHJzc/kxqYCCgLA82NvbQy6XK02TY2lsBEvjyhFcAUBWngzbb0aB44BO9W0rVdkJIYTonqJFTVOXJX20qOn9zjNy5EiMHDkS+fn5SExMBFBwE1eMsVRWcrkceXl5WqWVSCTgOA7Pnj3DunXrsG/fPr6fkbYU/cXUbafoKJ+dnQ2JRML/W1w6TVavXo2lS5eWqmy6UFmnyinM0UKC1p5WcLEyBrVqEkIIMUSLWrn9tBeJRHoZLfXatWvo0qWLVmnDwsLg7e2NmTNnom3bthg0aFCp8zMxMQEApdolhZycHKU0JiYmWqVTZ968efj888/592/evEHDhg1LXV5duPL0LaRyhvdqW8NcUjlqgz7tXMvQRSCEEFJBGKJFzaB3y+TkZPzxxx8YM2bMO+/D29sbO3bs0Cqti4sLLl26hDNnzuDIkSMIDw/n10mlUmRnZyM8PBy2trawtLTUuA/gf02FhcXExMDW1pavtXJxccHly5fBGFNqJlRsW1xtkUQiUar9SktL0+oYyyo/Px9AQZu0oswH78QiM0+Ghi7mlSbAIoQQQgrTd4taUQa9W0ZERGD8+PFlCrCcnZ0xbty4UuUJAB9++KHKOsWwCmvWrMGsWbPUbl+zZk04ODjgzp07Kuv+/fdf+Pr68u99fX2xdetWhIWFKdU+3bp1i19f0Tx9+hRSqRT169fna9ia17JETr4cJmLthpSoKGRyhoikbFgYG8HeXFzyBoQQQqo8fbWoFaXXAEsRzGhSXCdvfenatSuOHj2qsvyTTz5BrVq1sGDBAjRu3Jhf/vLlSwBAnTp1+GWDBg3Cb7/9hsjISLi5uQEALl68iGfPnil1mu/fvz8CAgKwceNGpXGwNm/ejJo1a6Jt27Z6OUZd+7i9m6GL8E6234zCzRfJGODrhAHNaNocQggh6umiRa0ovQZYHh4eKk/QFVa06aw8uLu7K41fpTBr1iw4OTlhwIABSsu7desGAErNifPnz8fBgwfRpUsXzJw5ExkZGfjuu+/QuHFjjB8/nk/n6uqKWbNm4bvvvkN+fj78/Pxw7NgxXL9+HXv37tV6kFFD0OP4s+WmjoMp7kWkQiav/MdCCCFEf3TRolaUXgMsGxsbLF++HJ06dVK7/smTJxg6dKg+i6AXbm5uuHr1Kj7//HN89dVXEIvF6NOnD3744QeVpwYDAwNhY2ODLVu2YOfOnahXrx727NmDkSNHGqj0xSvvgFefOtSzQWcvWwgEVeeYCCGElJ4hWtT0GmC1aNECycnJ8PHxUbteKpVWmJqSwjVU2iz38fHB2bNnS9yvQCDAvHnzMG/evDKUzrACDoSBMYYl/erB2lQ/nQH1QSTU60QFhBBCKglDtKjpNcD69NNPkZmZqXG9u7u71k8AEsNJycpHxQiD350hmqMJIYRUDIZoUdNrgDVw4MBi19vY2GDs2LH6LAJ5R4VrFpf1rwc5A8wr4YjoL+Iz8fudGJhLjDCjm4ehi0MIIcQADNGiVvnumESvbGxsIJVKYWT0v0vDzVbzgKgVnUgowLO4LBiLBJDJGYTUH4sQQqodQ7SocUyHIduECRNKTCMQCGBpaYn69eujb9++qFmzpq6yr9KioqLg5uaGyMhIuLq6Gro4lYZcznDzZTK8nMzgaCGmZkJCCAHdU8qDTgMsgUDA38DU7ZbjOKXlRkZG+Prrr7Fw4UJdFaHKMtQfg0zOcONFMgQc0Ka2NYyo4zghhFR6FGDpn06bCF++fIlZs2bh33//xcyZM9GuXTs4OTkhLi4ON2/exPr169GqVSssWLAA9+/fx4oVK7B48WLUq1cPw4YN02VRyDtSzM+kCJalMoYdN6MAAH4eVjCquEN3EUIIIQAqRouaTmuwAgMDsXbtWty/f5+fqbqw2NhY+Pr64vPPP8ecOXP4CYx9fX1x9epVXRWjSiqvXxthYWHIzc1FnTp1kJWVBTnjcCA0A3LG4bOutSrl0AdSmRzBkel4mZCJoS1dIKBmQkJINVfVa7AqQouaTu+W27Ztw9ChQ9UGV0DBvIFDhgzBr7/+CqBgXr++ffvi/v37uiwGKQPFBSmTyRATE4O42GjM6OqBz7t7VsrgCgDAcdh6PRJnQhPxJjnH0KUhhBCiZy9fvkTfvn3h6OiIVatW4erVq3jy5AmuXr2KVatWwcnJCf369cOtW7fwyy+/oEaNGli8eDEOHDigszLotIkwKipKZSTzooyNjREVFcW/d3d3R04O3fQqmsKRfWXvGG4k4NCurg040OCjhBBSXjp37qyxdcrIyAj5+fl6y/vAgQO4deuWSoual5cXOnTogHHjxsHX1xeXL1/GnDlz0KtXLzRs2BAbN27UWZclnQZYNWvWxLFjx7B8+XIYGxurrM/JycGxY8eU2jnj4+NhY2Ojy2IQHZDL5QCUq1krszFt6GlVQggpTwsWLMDEiROVlmVmZmLKlCno0aOHXvMuTYvanDlz+Ba1kydP6qwMOg2wPv74YyxYsADt27fH119/jXbt2sHOzg5v377FzZs3sWzZMrx69QrLly/nt7l+/TqaNm2qy2IQHVAEWACHLw8+gUAAfDPI26BlIoQQUnl0795dZdmePXsAAB999JFe864ILWo6DbDmzJmDsLAw7Nmzhx/FXSAQ8DdrxhhGjhyJr776CgAQFxeHPn36wN/fX5fFIGWgqK1SnDOO45CQkYeqMD4nYwyJGfkwFQtgJqExdgkhpLwFBQXBzMwM/fv312s+FaFFTacdUoRCIXbt2oULFy5gzJgx8PX1hYeHB3x9fTF27FicP38ee/bsgUBQkK2TkxPWrFmDnj176rIYRAf4JkKhAAv71MG8XnUMXKKy23AlAl8eeoI7/6UauiiEEFLtJCQk4Pz58xgwYADMzMz0mtfHH3+Mly9fon379jhx4gTevn0LAHj79i1OnDiB9u3b49WrV0rDOei6RU0vP+O7du2Krl276mPXRM8sLCwgkUggFBYMeCUUCFDXUb9/COWlhpUEQg5IzpQauiiEEFIhpKenIy0tjX8vkUhKbFp7VwcOHIBUKtV78yBQMVrUdDoOFtGf8h6zRCqVIjs7GwKBQO+/NMpLZq4URkIBJEb0JCEhpHpT3FOKWrx4MZYsWaKyXC6XIy8vT6t9SyQStQ9HtW3bFi9evEB0dLTSfLf6dOnSJezevRsPHjxAWloaLC0t0bRpU3z00Ufo1q2bXvPWyxHevHkTO3fuREhICH9AimbC9u3b6yNLomNGRkawsLBAdr4M/7xKgUjIoUUtK0MXq0yo3xUhhCh7/PixUj8kTbVX165dQ5cuXbTaZ1hYGLy9lR+KevXqFf7++29Mnz693IIrwLAtajo/yoCAAKxfv54fR0kxWurdu3exfft2zJw5Ez/++KOusyU6UnT8q5SsfGy+GgETsaDSB1iEEEKUWVhYwNLSssR03t7e2LFjh1b7dHFxUVkWFBQEQP9PD1YkOg2wfvvtN6xbtw5eXl5YvHgxunTpAicnJ8THx+Py5ctYunQp1q1bB19fX4wZM0aXWRMdefHiBTIzM+Hs7AwjIyPI5QI0cDGHxKgKPEYIIDwxC8dD4iERCTClk7uhi0MIIZWCs7Mzxo0b987bBwUFoU6dOnjvvfd0VygtGLJFTacB1qZNm+Dq6opbt27Byup/tR1OTk4YPnw4evXqhcaNG2Pjxo0UYFVwGRkZyMjIgJWVFeb61zZ0cXSG4zgER6bB2EgAqUwOIxrZnRBC9Co4OBhhYWFYtGhRueZr6BY1nd5dHj16hEGDBikFV4VZWVlh0KBBePTokS6zJXpQeCT3qsTN1hjD/FzwVa/aEFSFwb0IIaSC27t3L4DybR5UtKjVq1cPe/fuRXR0NKRSKWJiYhAUFAQvLy+sW7cOu3bt0lsZyv3uWRWmXanK1A00WpUIOA69GjnAw94Ugip2bIQQUtHI5XLs378fzZs3R/369cst38ItaiNGjICzszM4juNb1P755x/UrFkTGzdu1FsZdBpg+fj44PDhw8jIyFC7Pj09HYcPH4aPj48usyV6oAiwsvMZFh59hu/PvjJwiQghhFQ2AoEAUVFRuHv3brnmWxFa1HQaYE2ePBlRUVFo06YNDh8+jMTERABAYmIiDh06hLZt2yIqKgqffvqpLrMleqAIsGQMiErJQUxaroFLpDuMMYTFZOBocCwyc2WGLg4hhBAD0HcLjU47uY8fPx7BwcH4+eefMXToUACqI6d+9tlnGDt2rC6zJTpUtInQwliEOT09IaxCfbE4jsPOv6IQl5YHDztTNHMv+RFlQgghlYeiRW358uUwNzdXWV8eLWo6v2uuX78eV69exbhx45TmIhw/fjyuXr2KdevW6TpLokOmpqawtLTkB4ITi4RoWMMC9Z2rxmjuCn4e1nivtjUsjIWGLgohhBAdqwgtajRVDoBJkyZh69at6NOnD/78889i08rlcuzatQtHjhxBcHAwkpKS4OnpieHDh+OLL75QmbVbUxXk6tWr+TmQtFHeU+VkZ2cjLy8PEolE7UzkhBBCKq/yvqcYwowZM/Dzzz/z92F1LWr6rPSp9nOH3LlzBzt37tQ6iMjKysL48ePx3nvvYcqUKXB0dMTff/+NxYsX4+LFi7h06ZJKUNW9e3eVcb+aNWums2PQBxMTE5iYmCA9R4qwiFSYioWo76xazUoIIYRUROvXr8eQIUNUBhpt1qwZxo4diw4dOug1/zIFWBMmTHin7TiOw7Zt28qStU4wxjBjxgyMGTMGFy9e1GobsViMmzdvom3btvyySZMmwcPDgw+y3n//faVtvLy8MGrUKJ2WvbxEJmVj3cX/4GptjBUDvQxdHJ3LyJVCJmewMhEZuiiEEEJ0rEOHDnoPpDQpU4C1c+fOd9quogRYu3fvRmhoKI4cOVKqAKtwcKUwcOBALF68GGFhYSoBFlDQ5MZxXIVvbnv9+jUf5VtZWUHMCVHbwRSOFmJDF03njgbH4kRIPHo2ssdwvxqGLg4hhJAqpEwB1uvXr3VVjnKXnp6OuXPnYv78+XB2di7z/mJjYwEA9vb2Kut27tyJjRs3gjGGBg0aYOHChRg5cmSZ89QHxhgYY0hNTUVqaio8PDzwdd+6hi6WXjhZSsAAJGXkG7oohBBCyqAitqiVKcCqVauWrspR7pYtWwYTExMEBAToZH/ffvstLC0t0atXL6Xlbdu2xdChQ+Hp6Yno6Ghs2LABH330EVJTU4t9eiE3Nxe5uf8beyo9PV0n5SxJ0f5jVW2qnMKauVti7bAGsDal5kFCCKnMKmKLWqXv5C6Xy5GXl6dVWolEAo7j8OzZM6xbtw779u2DRCIpcxlWrVqFCxcuYOPGjbC2tlZad/PmTaX3EyZMQIsWLTB//nyMGzcOJiYmave5evVqLF26tMxlK6uqNlVOYSYiIUxENEwDIYRUdhWxRa3SD9Nw5coVdOnSRau0YWFh8Pb2Rq9evZCdnY0rV67w6zw8PNCoUaMSh2ko6sCBAxgxYgQmTJiArVu3arXNli1bMGXKFFy/fh3t27dXm6ZoDdabN2/QsGFDvT9S+/r1a6SmpvLvxbauOHQ/Ge62JhjXrmo+yksIIdVNdRimwdAqfQ2Wt7c3duzYoVVaFxcXXLp0CWfOnMGRI0cQHh7Or5NKpcjOzkZ4eDhsbW1haVny6N7nz5/HmDFj0KdPH2zevFnrMru5uQEAkpKSNKaRSCRKtWtpaWla778sitZYZeXJ8SoxG0JB1azJik/LxYn78ciRyjG9S+Vt8iaEEFKxVPoAy9nZGePGjdM6fUREBADgww8/VFn35s0beHp6Ys2aNZg1a1ax+7l16xYGDhyIli1b4vfff+dHPtfGq1cFEyc7ODhovY2huNubYma3WjAVV/pLRS2BgMONF8kQcEB2voyaDAkhhOhE1bxrFqNr1644evSoyvJPPvkEtWrVwoIFC9C4cWN++cuXLwEAderU4ZeFhYWhT58+8PDwwJ9//qmxH1VCQoJKEJWeno61a9fC3t4eLVq00MUh6ZSxsTHMzc2RkZEBALAyEcHRuuoOMGpvLsag5s7wsDeBqIrW0hFCCCl/1S7Acnd3h7u7u8ryWbNmwcnJCQMGDFBa3q1bNwDgmxPT09PRs2dPJCcn48svv8TJkyeV0tepUwdt2rQBAGzYsAHHjh3DBx98AHd3d8TExGD79u2IiIjA7t27IRZXvLGlFENWpKSkgDEGkajqP2H3QVNHQxeBEEJIFVPtAqyyevv2LSIjIwFA7VyCY8eO5QOsdu3a4a+//sLWrVvx9u1bmJmZoVWrVti+fTu6du1aruUuLcXTkClZ+YhOyYS5sRHcbdXX1BFCCCFEGQVY/69wh/filnt4eEDbBy+7d++O7t27l7FkhhX6Jh1bb0ShcU0LzO7haeji6AVjDFHJOXgSm4kO9WxgTP2wCCGElBEFWERJVFQUkpKSYGxsDEdHR5iKBHC1Noa9edVtKuQ4DmsvhuNtRj5crCRoVNPC0EUihBBSyVGARZTI5XLI5XJkZWUhPDwcTRo1QnMPa0MXS+98XS0Rl55bZYejIIQQUr4owCLFqsojuRc2uk1NQxeBEEJIFVJ1J5oj76S6BFSEEEKIPlENFilWSGQaLoQlwdvFHP19nQxdHL3Ll8mRL2MwFVNHd0IIIe+OarBIsd5mSBEWm4k3KTmGLore/fkgHlP3PsLphwmGLgohhJBKjmqwiJKiTYSNXS0wxdQItmYVb1DUd8UYg0wmg1QqVVpuJZLD3EiOhJQM5ORU/YCSEFI1iUQiCIVUC29oFGARJWKxGGKxGHl5eQAAZysJXKyNDVwq3WCMISUlBQkJCZDJZCrrbRnDx01FEAry8fr1awOUkBBCdMPa2hrOzs7Ur9aAKMAiShwdHWFvb89PlVOVxMbGIiUlBZaWlrC0tISRkRF9+RBCqhTGGLKyshAfHw8AcHFxMXCJqi8KsIgKgUAAW1tbAEBSZh6SMvNhZSKCg0XlbSaUyWRITU2Fg4MD7O3tDV0cQgjRGxOTgmnN4uPj4ejoSM2FBkKd3EmxbrxIxoqTL/HHg3hDF6VM8vPzwRiDmZlZ8elkciRl5iExI6+cSkYIIbpnamoKoOC7jxgG1WARJbGxsUhISIBEIoGzszNMRUI4mIthaVw1fgFp0ySYmi0FB8DWTAQBNSESQioh6v5geBRgESUymQwymQxZWVl4/fo13m/aFO83rD5NakYCDpYmRpAIqXKXEELIu6O7CFFS+FdPdfwFxHEc7MzEMDc2otorQggpo7t376Jv375wdnaGubk5mjRpgvXr16t9kruqoRosQgghhOjc3bt30bZtW9SrVw9z586FqakpTp8+jZkzZ+Lly5dYt26doYuoV1SDRTTiOA7XnydhzYXXuPYsydDFKVdSmRwZOVLIK+BQFXK5HG3atIGvry8aN26MIUOGIC0tDQCQnZ2NSZMmwcvLCz4+Pvj6668NXFr9Ku6zAICtW7eiSZMmaNCgAUaOHIns7GwDlrZ6KO6cVOXzMWnSJJVa/7CwMPj5+cHLywtdu3ZFTEyMgUpnGFu2bAEAXLt2DQEBAZg8eTKOHTuGjh07YufOnYYtXDmgAIsoKfoF8SYlB/cj0xFdDabKUWCMITo1FwkZeciVyg1dHBUCgQBnz55FSEgIHj58CDc3N3z33XcAgC+++ALOzs549uwZHj16hGnTphm4tPpV3Gfx+PFjrFq1CteuXUNYWBhsbGzw448/GrjEVZ+mc1KVz8eFCxfUPq03ZcoULFy4EM+ePUP//v3x1VdfGaB0hpOWlgZjY2NYW1srLXdxceGHkqjKKMAiGnEch1Ye1hjfzhV+ntaGLk654TgOJiIBJEYCoOJVYAEALC0tARTUFmRmZoLjOGRkZODQoUNYuHAhn87JSfME3U2bNi2opbx+vdT5t2rVChs2bCh9wctg0qRJmDRpkspydZ8FADx69Ah+fn78l3vPnj2xb98+frslS5bA3NxcZX+zZ8+GQCDAtm3b9HAU1YO6c1LS+QBKf07K8zrUdP1lZmZiwYIF+OGHH5SWx8XF4fnz5+jfvz8A4OOPP8bRo0dVtj9x4gR69OgBW1tbiMVieHp6YvLkyXj27Jl+DqQcde7cGWlpaZg8eTLCwsLw33//YfPmzThy5AjmzZtn6OLpHyOVQmRkJAPAIiMj9ZpPfHw8Cw4OZsHBwezhw4d6zas8ZWdns8ePH7Ps7Gyt0svlcj2XqOy6devG7OzsWKdOnVh6ejoLCQlhjRo1YtOnT2fNmzdnPXr0YPfv31e7bWhoKENB+MimTJlSqnyPHDnCHBwcWFZWli4OQ2vPnz9nYrGYPXv2TGVd0c+CMcaePHnCatasyaKiophUKmWjR49mFhYW/DaLFy9mZmZmSvuZM2cO4ziObdmyRb8HU17SYw2WddFzUtL5YKx056S8r0NN199nn33G9u7dyxhjrPAt9c6dO6xVq1ZKaR0cHFhiYiL/fu7cuQwAGzx4MDt06BC7evUq2759O2vfvj3z9fUtU3lL+s5T3FMeP37MUlNT+VdOTk6Z8i1MKpWy6dOnM5FIxH/fCIVCtmnTJp3lUZFRgFVJlFeAxRhj+fn5LCEhQemLoLIrbYBVWUilUjZ79mz2zTffsDt37jAA7NixY4wxxs6ePcs8PT3Vbjdv3jwmEAhYly5dmJ2dHcvLyys2H7lczn/xduzYkc2YMUO3B6KlLl26sJkzZ6pdV/izUNi9ezdr0aIFe++999j8+fOZjY0Nv67ozXzBggUMANu4caPeyl+u0t4wdunrgn8NpOg5Ke58MFa6c2KI67Do9Xfjxg3Wu3dv/n1pAqyTJ08yAGzRokVq8/rjjz/KVFZtA6yir8WLF6tNL5PJWHZ2tlavwj9Q16xZw/r27ct+++03duDAATZgwABmZGTEjh49WqbjqwwowKokyjPAKuxtRi6LeJvFUrPyyzVfXXvXAEsulzNZMbVZcrmcPXv2zKA1Xg8fPmQ+Pj4sPj6emZqaKq1zcHBgCQkJSsvkcjnz8PBg77//Pvvjjz8YAHbixAmlNGPHjmU+Pj7s5MmTrEmTJkwkErGDBw+yV69eMY7j2LVr11TKkZqayqZPn84cHR2ZpaUlGzduHJPJZGzMmDFs8uTJxR5DzZo12Zdffsk+/vhj5uDgwCwsLNigQYNYUlKSUrqNGzcye3t7lp+v/npUfBbq/P7776xNmzb8+8I388WLFzMA7Keffiq2nJWGTMrYP+sZuzCv4F+Z1GBF0XROip4PxrQ/J8Vdh9peS4V1796deXh4sAcPHigtj46OZubm5nztWdHrb/Xq1czFxYXVqlWL1apViwFgtWrVYjExMSw2Npa5uLjw+0pPT1eqsevatStzcnIq8ccNY4z99ddf7IMPPmAuLi7M1NSUNW3alO3atavYbXRdg3X58mW1AZm6V1hYGP/5ODs787XKCp07d2Y1atTQ+HdcVVCAVUkYKsDaeTOSjd1+nx29Z7imBl14lwArJSuP/ZeYxZIz1X8Bpqens3379rFvvvmG7du3T+VLRF8SEhL4oEkul7PFixezYcOGMcYKvrSvX7/OGGPs9u3bzNXVVSX4u3HjBgPAtm/fzvLy8pidnR0bPny4UpqxY8cyGxsbVqdOHbZjxw528eJF9vz5c/brr78ykUik8iWcnp7OmjRpwho0aMAOHz7MNm3axDiOYz///DMzMzNj//33X7HHA4CZmpqyCRMmsAsXLrA1a9YwsVisEpiFhIQwAOz27dslfhaMMRYbW3DdpqSksJYtW7IDBw7w6xQ38xUrVjAAbM2aNcV/8JXJy/MFwZXi9fJCuWVd3Dkp7nwwpv050XQdluZaKuz69evM2dmZBQQEKC0fO3Ysa9q0KZPJZIwx1euvqKK9bjp06MDXKK9du5aNHj2aMVbQSiCRSNjIkSM1lqmwffv2scDAQHby5El28eJFtmzZMiYSidjOnTs1bqNtgKXtPSUmJobt2LFDq1dKSgpjjDE3Nze1x/jjjz8yAOz58+da5V1Z0ThYREliYiJiY2MhFotRs2ZNGIuEsDQxgrGoaj8PkZenOvegNF+G3Lw8ZEIOa1ORUtqIiAicOXMGWVlZAICIiAjs3LkTvXr1Qp06dYrdrwLHcRCJRBrXaxIXF4cxY8bw8yv6+Phg/fr1AIDNmzdjwoQJSE1NhampKQ4ePKjyZGhQUBCMjY3x4YcfQiQSYfDgwdi9ezcyMjKUOhgnJyfj9OnTaN26Nb/su+++g5eXFyQSidI+v/nmG7x48QJPnjyBm5sbX5YFCxbgo48+gru7u8bjCQkJAQCMGzeO77DcrVs3PHz4EKdPn1ZK6+PjA6FQiFu3bqFly5bFfhYAMGrUKERHRyM3NxeTJ0/G0KFDlfaXmZmJhQsXYuLEiZg1a1ZxH3v5YwyQv8M8cukxQPgV5WXhlwHbuoCFS+n2JRABpRxwt7hzUtL5ALQ7J7dv31Z7HZbmWiqsffv26NevHx4/fswvu3PnDnbt2oVLly5BICj4/it6/ZVk06ZNGDt2LL744gu4urpi7969AIC3b98iNze32L+LwoYPH87/nzGGjh07IioqClu2bMHYsWO12kdZOTs7Y9y4caXaJi4uTu2AooonLqVSqS6KVmFRgEWUyGQySKVSSKVSREREYJhfAwzzK+WXciW0du1ajetq166NwYMH8+9/+ukntV8aWVlZOHz4MAYPHozatWsDKBgHRtNYP87OzhgzZkypy+rj44O7d++qXVevXr1inwqUSqU4ePAgevfuDSsrKwDAyJEjsWXLFhw9ehSjR4/m09rZ2SkFVwAQExMDBwcHlf1u374dY8eO5YMrALCyskJWVhbmz59f7PGEhIRALBZjwYIFSsu9vLxw4MABpWVGRkawtrbmxxMq7rMAgPPnzxebt4mJCfz8/BAUFIRx48ahXbt2xaYvV/J84MoS3eyLyYG7W0q/XeclgFBcqk2KOyclnQ9Au3Oi6ToszbVUVP369XH27Fn+/cyZMzFw4EB07tyZX1b0+iuKFRk3z8fHB3fu3NGYp7azZSQnJ2Px4sU4fvw43rx5w3//2NnZabW9oXh5eeH8+fN4+/YtX1aZTIbff/8dFhYWSj9Gq6KqXS2hJcUAcX379tUq/bhx48BxnMrL29tbJa1cLse3334LT09PGBsbo0mTJiqPJpPKpbgvRY7jUKNGjXIsTemcO3cOCQkJ+OCDD5CSkoKUlBQ0btwYLi4uCAoKUkqrboiHnJwclVqDFy9eIDo6Gv7+/krL8/PzMXr0aNSqVavYMoWEhKBVq1Yqn1tMTIzaz1IikehsgEqBQIATJ07Ay8sLffv2xcOHD3WyX/LutDkn6q5DoPTXUmFeXl6IiIhAdnY29u/fj7t37/JjqhWmi+vPzs4OxsbGiIiI0Cr9uHHjsG/fPnzxxRc4d+4cbt++jQkTJiAnp2KPT/jVV18hKSkJrVu3xrfffouffvoJHTp0wN27dzF37tx3qsGvTKp9DdadO3ewc+dOGBsbl2o7iUSCrVu3Ki1T1AgUtmDBAgQGBmLSpEnw8/PD8ePHMXLkSHAcp1TtW1FU17kIi2seUjQPKEyfPh1///03bt26pZK2devWStfS5MmTNe7XEJ+vIogaP348xo8fr7QuISEB8fHxcHR01Fg+W1tbhIeHKy179eoVACg1dzx79gz//vsvRo4cWWKZQkJC4OPjo7RMJpPhxIkT6Nmzp0r6lJQUnf5yt7KywtmzZ9GuXTv07NkTN2/ehKenp872/84EooIapNKQy4C7vwCZcarrzJ2B5pMAgbB0ZTCAks6JuusQKP21VJiXlxcYY7h//z7mzp2LgIAAvia6MF1cf0ZGRmjXrh0uXrwIqVQKIyPNt+KcnBz8+eef+PHHH/HZZ5/xy+XyijcIclEfffQR7O3tsXr1anz33XdIS0tD/fr1sXnz5mK/G6uKah1gMcYwY8YMjBkzBhcvXizVtkZGRhg1alSxad68eYMffvgB06ZNw88//wwAmDhxIjp16oQvv/wSQ4YMgVBYii87Azj/OBHP4zPRro4NmrpZGro4eiMWq28GkcrkyMiVQZ6bB1szMZ+2devWCAkJQW5uLp9WIpGgVatWWu3XELKysnD8+HEMGDAAM2fOVFoXGxuLESNG4MCBA0pf4kXVr18fly9fVlqmCEATExP5ZV999RVkMplKk0lROTk5ePr0qcoPnN27dyMiIgIzZsxQWp6QkICsrCzUr1+/2P2WlqOjI86fP4927dqhe/fuuHHjBpydnXWaR6lxXKmb5yAE4DMEuL0JYIWasTkh0HAIIKo8o2cXd07UXYelvZaKql27NoyMjDB16lTk5eWpbdrW5fX3+eefo0+fPli5ciUWL16ssv7UqVPo3bs3cnNzIZfLlb5L0tPTceLEiTKXoTz07NmzxOC2qqrWTYS7d+9GaGgoVq5c+U7by2QypXnPijp+/Djy8/MxdepUfhnHcfj0008RFRWFv//++53yLS8cx+FlQhb+fZ2K2LTckjeoguQMSM7KR1q2VClYMDY2Ru/evdG2bVv+1bt371LXhJan48ePIyMjAzNmzEDnzp2VXsOHD0ezZs1UmgmLateuHeLj4xEVFcUva9GiBUxMTDB//nycPn0as2bNwr///otWrVrh2LFjCAsL49NeuXIFHMfx85CFhoZCKpUiLi4O8+bNw+XLl7FixQp8+umnWL16NRo0aKCUv6I/S/v27XX0qfyPh4cHzp49i6SkJPj7+yM1NVXneZQLixqARyflZR6dS9/BvQLQdE7UXYfaXktFr0EFIyMjeHp6Ijg4GKtWrYKFhYVKeXR5/fXu3Rtz5szBkiVLMGzYMBw9ehTXr1/Hrl270LlzZ74fmZWVFfz8/BAYGIhDhw7h2LFj6N69u9oWE1KxVNsAKz09HXPnzsX8+fPf6ZdqVlYWLC0tYWVlBVtbW0ybNg0ZGRlKaYKDg2FmZqZyk1DUcgQHB7/7AZSTdnVt8FHrGvB2Vp2+ojoQCTmYS4xgayZSmTWnXr16aN++Pf+qV6+eQcqoraCgILi7uyt12i1s7Nix+Oeff/Dy5UuN++jcuTPs7OyUnsiysbHB3r17kZSUhP79++P8+fM4c+YMli5diuDgYKUpRDIzMwGA/5sLCQmBRCLBmTNncOXKFfTq1Qu7du3Czz//jC+//FIl/9OnT6NDhw7FTgFUFo0aNcLJkyfx/Plz9O3bt/JORuzRBTD//4DK3KUgwKqk1J0TddehttdS0WuwsDp16qBx48Yan8zT9fX3zTff4NixY0hKSsKECRPQrVs3LF68GN7e3jh48CCfLigoCHXr1sXYsWMxY8YMDB48+J0ekCHlzGADRBjYF198wTw9PflxVGrVqsX69Omj1bZfffUVmzt3Ljtw4ADbt28fGzt2LAPA2rVrpzRwWp8+fVjt2rVVts/MzGQA2FdffaUxj5ycHKXB3x4/flwu42AlJibyU+U8ffpUr3mVp6o6krshfP7556xLly7vtO3ChQuZj48PPzbXtGnTWIsWLbTaNj8/n7m4uLDffvvtnfKudviR3KMNXRK9KHodanstFb0GC2vcuDGbPXu22u0q2/Wn63GwSOlV+j5Ycrm82LGGCpNIJOA4Ds+ePcO6deuwb98+tU+ilGT16tVK74cPHw4vLy8sWLAAhw4d4juvZ2dnq92/ohmpuF/Hq1evxtKlS0tdtrKys7ODubk5UlNTi+14SaqvL774AnXr1sX9+/fRtGnTUm178+ZNzJ8/n+9AHxISAl9fX622DQoKgrm5uVYd5wkKmgr9pgLm+qntM7Si16G211LRa1AhLy8PT548wZw5c9RuR9cfKa1K30R47do1mJiYaPV6+vQpgILxTdq2bYtBgwbprBwBAQEQCAS4cOECv8zExESpE7SC4tFaExPNHU7nzZuH1NRU/lV4ADx9k0gkcHR0hK2tLZKz8hGflovsfNVxn6oTuZwhK6/kTtvVgYuLC3bu3ImEhIRSb3vp0iX+BsUYw4MHD7QOsAQCAbZv306Bf2lU0eAKUL4OS3MtFb4GC3v8+DHy8/M17oOuP1Jalf5K8fb2xo4dO7RK6+LigkuXLuHMmTM4cuSI0mO+UqkU2dnZCA8Ph62tLSwtS/fEnImJCezs7JCUlKSU3+XLl8EYU/q1pBikrrhxWSQSiVLtV3Gd6fVp519RuB+ZjgntXNHRy9YgZTA0xhiiUnIgkzO4WElgLKrYT36WhyFDhpR5HxzHleq6LumpXVL9FL4Oy/od6evrW+wPKLr+SGlV+gCrtMP3KwZ2+/DDD1XWvXnzBp6enlizZk2pp81IT09HYmKi0ujCvr6+2Lp1K8LCwtCwYUN+uWL8JG1/uZenlJQUvHnzBmKxGG5ubhAJBZAYCSAUVJ8xsYriOA4SIwHypHLIqQKLEEKIFip9gFVaXbt2xdGjR1WWf/LJJ6hVqxYWLFiAxo0b88sVT1QphvTPyclBfn6+yiO8y5cvB2NMaTTr/v37IyAgABs3buTHwWKMYfPmzahZsybatm2r8+MrK6lUivz8fOTn5yMqKgrTu9Q1dJEqBAcLMQTVaOBVQgghZVPtAix3d3e1E2zOmjULTk5OGDBggNLybt26AQDfnBgbG4tmzZphxIgR/NQ4Z8+exalTp+Dv74/+/fvz27q6umLWrFn47rvvkJ+fDz8/Pxw7dgzXr1/H3r17K+Qgo9Vp9PbSoOCKEEJIaVS7AKusrK2t0bdvX5w/fx6//fYbZDIZ6tati1WrVuGLL75QmVYlMDAQNjY22LJlC3bu3Il69ephz549leJJFAq21Cvap44QQggpigKs/6duXit1y62trbF7926t9ysQCDBv3jzMmzevDKUznJMP4hGblouu3nbwtDc1dHEMKiUrHxm5MlibGMHcmP50CCGEaFbph2kg+sNxHO5HpeP682QkZuQbujgGJ2MM+TI5cqQVf5JVQgghhkU/w4mSok1fnevboomrBVxtSj8ga1VjITGCiZEQEhH9LiGEEFI8CrCIksJ9yDiOQ9vaNgYsTcUiNhJATH8xhBBCtEC3C6LE2toaXl5eSEtLe6dphAghhBBCARZRw9TUFKamBR3a03KkkMsZzCRCiITUNJYvkyM7Tw6hADCT0J8PIYQQ9eiOSYr1/dlXmHUgDE9jMw1dlAohO0+Ot5l5SM+p3nMzEkIIKR4FWERJeno6wsLC8Pz5c+Tl5YEDCl407BMAwFgkgIlICGMDdnSXy+Vo06YNfH190bhxYwwZMoSfh+306dNo1qwZfH190bJlS/z9998GK6e+Ffc5AMDWrVvRpEkTNGjQACNHjkR2drYBS0tKg84tqQoowCJKZDIZcnNzkZmZiZiYGCzt74Ud45vAp4ZFyRtXA2IjAZytJLA2FRmsDAKBAGfPnkVISAgePnwINzc3fPfddwCAjz/+GHv37kVISAiWLFmCGTNmGKyc+lbc5/D48WOsWrUK165dQ1hYGGxsbPDjjz8auMREW3RuSVVAARbRiEYrr7gsLS0BFPzSz8zM5M+VQCBAamoqACA1NRU1a9bUuI+mTZuC4zhcv3691Pm3atUKGzZseIeSv5tJkyZh0qRJKss1fQ6PHj2Cn58frK2tAQA9e/bEvn37+O2WLFkCc3Nzlf3Nnj0bAoEA27Zt08NRVC8DBw5UmtdVYf369RAIBDhy5IjS8qLXlL7PraZrihCdYaRSiIyMZABYZGSkXvNJTk5mwcHBLDg4mP333396zas8ZWdns8ePH7Ps7Gyd7E8ul7M8qUwn+3pX3bp1Y3Z2dqxTp04sPT2dMcbY5cuXmb29PXNzc2Ourq4az2FoaCgDwACwKVOmlCrfI0eOMAcHB5aVlVXmY9DW8+fPmVgsZs+ePVNZp+5zePLkCatZsyaLiopiUqmUjR49mllYWPDbLF68mJmZmSntZ86cOYzjOLZlyxb9Hkw1cfXqVQaAnT9/nl925coVZmRkxObPn6+UVtM1pc9zW9w1VRWU9J1XXveU6oxqsIiSwrVWHMfhaHAs9vzzBgnpeQYsVcWSmy/Df0nZiE3NNWg5Lly4gLi4OLRs2RIbN26EVCpFYGAgLly4gIiICHz99deYOHGi2m337t0LgUCALl264ODBg8jPL36kfsYYcnMLjnft2rUYMWIETExMdH5MmtStWxft2rVTW2tW9HMAgPr16yMwMBD9+/dH+/bt4ebmBiMjzU99Lly4EN9++y02bNiATz75RG/HoW+RkZG4d++exldUVFS5laVjx45o3rw51qxZAwCIiorC0KFD0b17dyxfvlwpraZrSp/ntrhrihCdMHSER7RTXr82UlJS+BqsiIgINvv3x2zs9vvsRXymXvPVN13WYMlkcvY6IZOFJ2YxqUyug9KVzcOHD5mPjw+7ffs28/Pz45dnZmYyExMTlfRyuZx5eHiw999/n/3xxx8MADtx4oRSmrFjxzIfHx928uRJ1qRJEyYSidjBgwfZq1evGMdx7Nq1ayr7rVmzJvvyyy/Zxx9/zBwcHJiFhQUbNGgQS0pKKrb83bt3Zx4eHuzBgwdKy6Ojo5m5uTlf67Bx40Zmb2/P8vPzi/0c1Pn9999ZmzZt+PeFazkWL17MALCffvqp2HJWdDk5OczJyYmvmVT3cnZ2Zjk5OeVWpt27dzOO41hISAjz8/NjdevWZcnJyUppirumFPR1bku6piozqsEyPKrBIhpxHIf3G9jjgyaOsDGlMZ8UIpNzYGMmgrutMYSC8u+nlpiYiMTERAAFNUuHDh1Co0aN4OrqihcvXiAyMhIAcObMGfj4+Khs/9dffyE8PBwjR45Ez549YWdnh6CgIJV00dHRmDFjBgICAnDmzBn4+vri4sWLMDIyQqtWrVTK9ObNG2zYsAGMMezbtw/Lli3DH3/8UeJE519//TVycnKwY8cOpeXz5s1DnTp1+Fq4tm3bIjExESEhIcV+DgpxcXEACvqiffvtt5g1a5ZK3itXrsTSpUuxZs0aTJ8+vdhyVnRisRju7u5KszEUJhAI4ObmBrFYXG5lGjZsGFxcXNClSxc8fvwYR48e5ftOKai7psrr3Ba9pgjRJbprEiVFO7b7N3IwUEkqrnsRqTj3OBE9GtqjR0MHmEmE5Zp/XFwcxowZg/z8fDDG4OPjg/Xr18PR0RE//PAD/P39YWRkBDMzM7WdtYOCgmBsbIwPP/wQIpEIgwcPxu7du5GRkaHUOTg5ORmnT59G69at+WXfffcdvLy8VEb5V9ygxo0bxze5dOvWDQ8fPsTp06eLPZ727dujX79+ePz4Mb/szp072LVrFy5dusQHDD4+PhAKhbh16xZatmyp8XNQGDVqFKKjo5Gbm4vJkydj6NChSvlmZmZi4cKFmDhxotobtKExxpCVlVWqbRYsWIABAwaoXSeXy7FgwYJS7dPU1LRMD7uIRCL06dMHv/76K3bu3KkUJCncvn1b5Zoqr3Nb9JoiRJcowCJKLC0tUbt2bWRkZMDMzMzQxSk3uflyAIDYiONvKFKZHDI5IBBAaRR7mYwhO0+O4yHxfKDVrYE9JEIBOK5gKIei+xUZcRAo9itnkMmYSlpt+fj44O7du2rXjR8/HuPHj9e4rVQqxcGDB9G7d29YWVkBAEaOHIktW7bg6NGjGD16NJ/Wzs5OKbgCgJiYGDg4qAbdISEhEIvFWLBggdJyLy8vHDhwoMRjql+/Ps6ePcu/nzlzJgYOHIjOnTvzy4yMjGBtbY2YmBgAxX8OAHD+/Pli8zQxMYGfnx+CgoIwbtw4tGvXrsRylqesrCy1T8OVhabgS5Oyfg9cv34dO3fuBAC8efNGbRp111R5ndui1xQhukRNhESFpaUlatSoASsrK2TnyZCdL4OcMUMXS68m7wnF5D2hSM/93wjtp0ITMHlPKHb/E62U9lRoAv9/RaA1+/cwTN4Til+uRSil/eJgwfKYlP91iL/xPAmT94Ri01XltOXh3LlzSEhIwAcffICUlBSkpKSgcePGcHFxUWkmdHJyUtk+JydH7RyVISEhaNWqFWrUqKG0PCYmRmWZOl5eXoiIiEB2djb279+Pu3fv8uMeFSaRSHQ2qKRAIMCJEyfg5eWFvn374uHDhzrZLykQGRmJwYMHw9/fH5MmTcKGDRvUPkyh6Zoqi9KcW11eU4QURgEWKdaXh57g0z2PEGPgJ+YqunxZQQD64E16hX7iUhFEjR8/HjY2NrCxsYGtrS1iYmJw4cIFxMfH82nVNQ3Z2toiJSVFZXlISIhKICWTyXDixAl069atxHJ5eXmBMYb79+9j7ty5CAgIQO3atVXSpaSkwM7OrsT9acvKygpnz56Fvb09evbsidevX+ts32VlamqKjIyMUr/S09PRvHlzCIUFTddCoRDNmzdHenp6qfelmJO0tHJycjBw4EDY2Nhgz549+PzzzxETE6O2NlPTNVVW2p5bXV9ThChQEyFRkp2djYiICAiFQnh4eEBRcVXVhxzdMqqgb4jY6H9H2ruRA3o2dEDRPsO9Gzngz4cJSstMRAJ087bD+w3tlUZ5/35IAwAFTYQK7evZok1tm3KffigrKwvHjx/HgAEDMHPmTKV1sbGxGDFiBA4cOIDPPvtM4z7q16+Py5cvKy3LycnB06dPYWxsrLR89+7diIiI0Go0+dq1a8PIyAhTp05FXl4e5s+fr5ImISEBWVlZqF+/fon7Kw1HR0ecP38e7dq1Q/fu3XHjxg04OzvrNI93wXHcOzfPrVq1Cv7+/gAKAt1Vq1bpvLmxOJMmTcLz589x69YtWFpawtLSEv7+/lizZg1GjRqllFbdNaUrJZ1bfV1ThABUg0WKkEqlyM7ORkZGBhISErB2eAP8MroRnK10W4Vf0UhEAkhEAqVaGyNhwbLC/a8AQCj8XxoTsQD9fR3x/ZAGGNzSRWUKHcV+BYX3K+AgEQneqf9VWRw/fhwZGRmYMWMGOnfurPQaPnw4mjVrpvZpwsLatWuH+Ph4pfGUQkNDIZVKERcXh3nz5uHy5ctYsWIFPv30U6xevRoNGjTg0165cgUcx/H9chSMjIzg6emJ4OBgrFq1ChYWqlMz3blzB0BBp3hd8/DwwNmzZ5GUlAR/f39+NPzKqkePHvDz8wMA+Pn5oUePHuWW9w8//IC9e/diz5498Pb25pcHBATg3r17uHbtmlJ6ddeULhV3bvV5TRFCARZRUrRZSCQsCAQENG2OEj6wGtwAA5s5l/uThO8iKCgI7u7uSh3HCxs7diz++ecfvHz5UuM+OnfuDDs7O6UnA0NCQiCRSHDmzBlcuXIFvXr1wq5du/Dzzz/jyy+/VNo+MzMTANTWENWpUweNGzfG2LFj1eZ9+vRpdOjQQW3fMF1o1KgRTp48iefPn6Nv376Vul8Ox3FYtWoVGjRogFWrVpXbtFcXLlzA3LlzsWTJEnzwwQdK67p3745GjRrxA48qqLumdE3TudX3NUUKHkho3749TE1NYWNjg8GDByM8PNzQxSoXHGNVvPdyFREVFQU3NzdERkbC1dVVb/lkZGTgxYsXAAo6Obu4uOgtr/KUk5OD169fw9PTU6Upq7T+e5sNe3MxzCRCSGVy5ErlkBgJYCSsHr9XZs+ejeDgYFy6dAkAMH36dPzzzz98bUBxFi1ahKNHj+Lhw4cqN/0mTZqgR48e+P7771W2k0qlcHd3R2BgIMaMGaObAyEVRtFrqjxU9WuqpO+88rin/Pnnn+jfvz+aN2+O0aNHIy0tDevWrYNEIkFwcLDaJ5KrkupxRyDvhCZ7Vq+WnQmMhBxkcoaEjHzEp+chK09u6GKVmy+++AK3bt3C/fv3ARTUYPn6+mq17c2bNzF//nyVaysvLw9PnjzRuJ+goCCYm5tj5MiRZSk6qaCKXlPlga4p/Zs7dy5q166NmzdvYsaMGVi4cCEuXLiAmJgYBAYGGrp4ekcBFlFCQZV2svJkiErOAcAgFgpggAHdDcbFxQU7d+5EQkICGGN48OCB1gHWpUuX1N7QHj9+jPz8fI37EQgE2L59e7FzzpHKq/A1VV7omtKvpKQkPH78GAMHDlSaPaBp06Zo0KAB9u/fb8DSlQ+6sohGFGwVT84YcvIZBByHfDmDTM4MMnWOIQwZMoT/f1paWpn35+vri+J6KxR98oxUPYWvqfJA15R+KSaHVzcpvKmpKR49eoTY2NgK8cSuvlANFiFlJGcMKVn5iErOQXJWPmRy6tZICKkc0tPTkZaWxr8UgVFZOTk5wdraGjdv3lRa/vbtW35aLE2j+1cVFGChYMwWjuPQt29frdJzHKfx1b17dz5deHi4xnQVtXrUzMwM7u7usLe3f+dBBqsrRaAVnZKDfFn16ZNFCKm8GjZsCCsrK/61evVqtenkcjlycnK0ejHGIBAIMHnyZFy8eBHz5s3D8+fPcffuXQwdOhR5eQWDMVfmJ3W1Ue2bCO/cuYOdO3eW6smy3bt3q93PunXr1I43M2LECPTu3VtpWZs2bUpf2HJia2sLW1tbQxej0uEAWJmKYGlsVG2aCgkhldvjx49Rs2ZN/r2maYuuXbuGLl26aLXPsLAweHt7Y9myZUhMTMS3337Ld2rv0aMHPv74Y2zevLlcB781hGodYDHGMGPGDIwZMwYXL17Uejt1bfeKARRHjBihsq558+bU3l+FcQAYCiZutiky0CghhFRkFhYWsLS0LDGdt7c3duzYodU+FcP7iMVibN26FStXrsSzZ8/g5OQELy8vjBw5EgKBAHXr1i1T2Su6ah1g7d69G6GhoThy5EipAqyicnNzcfjwYXTq1EnjeCKZmZkQiURKT1NURLm5uYiMjIRAIICHhwcEReeJITwBx8HSxAjmEiGkcgZJOY/MTggh5cXZ2Rnjxo17p22dnJz4wVxlMhmuXLmC1q1bV/karGp7R0hPT8fcuXMxf/78Mj/FcOrUKaSkpOCjjz5Su37p0qUwNzeHsbEx/Pz8cO7cuTLlp09yuRwZGRlIS0tDUlKSoYtTYZmKhXC1MYaNqQgioQAmIiGNdk8IISX4/vvvERMTg9mzZxu6KHpXbWuwli1bBhMTEwQEBJR5X3v37oVEIsHgwYOVlgsEAvTo0QMDBw5EzZo18erVK/z444/o1asXTpw4gT59+mjcZ25urtLTHOnp6WUuJ9Edqq0ihJDi7dmzB4cPH0bHjh1hbm6OCxcu4Pfff8fEiRMxaNAgQxdP7yp9gCWXy/knEkoikUjAcRyePXuGdevWYd++fRo79GkrLS0NJ0+eRO/evWFtba20zt3dHWfPnlVaNnr0aDRs2BCzZ88uNsBavXo1li5dWqaylRWNg6W9fJkcWbkyAAUd3QkhpLrz8vJCUlISli9fjuzsbNSvXx+bN2/GJ598YuiilYtK/zP82rVrMDEx0er19OlTAMDMmTPRtm1bnUTQhw8fRk5OjsbmwaJsbW0xfvx4PH36tNjZ4+fNm4fU1FT+pRg3RN8oqHo3MjlDUlY+0nKkhi4KIYRUCK1atcLVq1eRlJSE7OxshISEYPLkydXmPlPpa7BK+2TDpUuXcObMGRw5ckRpRm+pVIrs7GyEh4fD1tZWq6cqgILmQSsrK63H0AIANzc3AAVTCWjqFC+RSJRq13QxWnZpVZc/Al0QCwUwEwshMRKAMUafHSGEVHOVPsAq7ZMNERERAIAPP/xQZd2bN2/g6emJNWvWYNasWSXuKyYmBpcvX8a4ceNK1dT46tUrAHinmcSLm06EGI5AwMHRsmzNzYQQVZMmTcLWrVuVvvvCwsIwZswYpKamwtXVFXv37uWHBiCkoqj0TYSl1bVrVxw9elTl5eDggJYtW+Lo0aP44IMP+PQvX77Ey5cv1e5r//79kMvlGpsH1U1c+ubNG2zfvh1NmjR5py+EEydOICMjo9TbaatwzQvVwlRMcrkcbdq0ga+vLxo3bowhQ4bwNZxbt25FkyZN0KBBA4wcObLSj5Rc3LECwOnTp9GsWTP4+vqiZcuW+Pvvvw1YWqJrFy5cQH5+vsryKVOmYOHChXj27Bn69++Pr776ygClI6QEjDDGGKtVqxbr06eP2uW1atVSu02LFi1YjRo1mEwmU7t+3LhxrEOHDmzJkiXsl19+YfPnz2d2dnZMLBazy5cvl6p8kZGRDACbN28e+/nnn1l4eHiptteWXC5nMTExLDw8nGVkZOglD0PIzs5mjx8/ZtnZ2XrNRyaTs5w8qV7zYIyx1NRU/v8BAQFs4cKF7NGjR8zT05MlJyczxhibOnUqW7Fihd7Lom/qjlXBxcWFPXr0iDHG2B9//MFatmxZ7uUj6g0YMIA1atRIZfm6desYx3Hs8OHDSsv9/PzYzz//zL/PyMhgrVq1YomJiazwrSo2Npa5uLjw79PT05mFhQX/fvHixczMzEwl388//5xxHMe2bt3KGGNs4sSJbOLEie9+gBVcSd95intKZGRkOZes+qh2NVi68vTpU9y9exfDhw/XOBhnjx49wHEcNmzYgKlTp+KXX35Bx44d8ffff6Nz587vnHdmZiZ+//13vqlRlziOg7OzM2rVqgUzMzOd778qy5fJ8V9SNmJSc/XelKvoIyiXy5GZmQmO4/Do0SP4+fnxT7P27NkT+/btU9puyZIlagf3mz17NgQCAbZt26a0vFWrVtiwYYN+DqKISZMmYdKkSSrL1R2rgkAgQGpqKgAgNTVVacqPwpo2bQqO43D9+nU9lJyoExAQgNDQUFy4cIFfdvXqVcyePRvz5s1T6qZx9OhRhIeHY8KECfyyefPmYebMmbCzs1Pab1RUFN+PFQA/xuDbt281lmXu3LlYs2YNNm/ejI8//phftmvXLjx//rzMx0qIWoaO8Ih2CtdgffPNN2zt2rV6r42pSsqjBksul7PwxCwW8TaL5UnV12rqUrdu3ZidnR3r1KkTS09PZ0+ePGE1a9ZkUVFRTCqVstGjRyv9smdM/a/7OXPmMI7j2JYtW5SWHzlyhDk4OLCsrCy9HwtjjD1//pyJxWL27NkzlXVFj1Xh8uXLzN7enrm5uTFXV1f233//qWwbGhrKUDCbEZsyZYpej4Eoa968OevduzdjrOA7zNHRkfXq1Uul1r9jx45sxowZ/PsbN27w2zHGlGqw7ty5w1q1aqW0vYODA0tMTGSMqV7jCxYsYADYxo0bVcrXpUsXNnPmzHc/wAqMarAMj2qwKqkWLVqUaoJqbUmlUrx+/RqvX7+mDvWlxHEcXG2M4WZrApFQ/39aFy5cQFxcHFq2bImNGzeifv36CAwMRP/+/dG+fXu4ubnByKj451gWLlyIb7/9Fhs2bFAZm2bt2rUYMWIETExM9HkYvLp166Jdu3Zqa8yKHitQcK0GBgbiwoULiIiIwNdff42JEyeqbLt3714IBAJ06dIFBw8eVNunpyjGmNJAv5XRhQsX0LBhQ6UapPIWEBCA06dP4/79+/jwww9haWmJoKAgpVr/169f4/r160oDNV+/fh3BwcHw8PCAh4cHAMDDwwOxsbFwdXVFZGQknzYjIwM5OTkqNV1AQY3typUr8dNPP+HTTz9VWT9kyBDs3bsXUikNr0L0wNARHtFO4RosfdZe5ebmsuDgYBYcHMxSUlL0kochlFcfLEN4+PAh8/HxUVn++++/szZt2igtK/zrfvHixQwA++mnn1S2ffXqFeM4jl27dk1peffu3ZmHhwd78OCB0vLo6Ghmbm6uUgtWWM2aNdmXX37JPv74Y+bg4MAsLCzYoEGDWFJSEp9m48aNzN7enuXn55d4rLdv32Z+fn78uszMTGZiYqKUXi6XMw8PD/b++++zP/74gwFgJ06cUNnv2LFjmY+PDzt58iRr0qQJE4lE7ODBgxqPpaKTy+XMz8+PAWB+fn5MLpcbpBx5eXmsRo0azMbGhpmZmbGHDx+qpPn111+ZSCRiOTk5GvdT9FbVoUMHduzYMcYYY2vXrmWjR4/m1ymu8RUrVjAAbM2aNRr3GxISwgCw27dvl/LIKj6qwTI8qsGqZDw9PdG7d2+91F4B9BRhaeTm5iImJgbh4eGIiYkptxqPxMREJCYmAiioaTl06BAaNWoEAIiLiwNQ0B/p22+/1TjcyMqVK7F06VKsWbMG06dPV1l/8eJFGBkZoVWrVkrLv/76a+Tk5KiMPTdv3jzUqVNHbQ2Sosxv3rzBhg0bwBjDvn37sGzZMvzxxx+YN28en65t27ZITExESEhIicfq6uqKFy9e8LUZZ86cgY+Pj1K+f/31F8LDwzFy5Ej07NkTdnZ2CAoKUlvG6OhozJgxAwEBAThz5gx8fX3VpitvmZmZGl85OTlq0544cQK3b98GANy+fRsnTpxQeaK0uP3q6ulTkUiEPn36IDk5GRs2bODPXWG3b9+Gl5dXqYa62bRpE5YvX4569erh2LFjCAwMVFqfmZmJhQsXYuLEicUOuePj4wOhUIhbt25pnTch2qr042BVN5aWlqhXr56hi1HtJSUl8WOqKcTFxcHNzQ1MYoFcqRzOlhIIBboPUuPi4jBmzBjk5+eDMQYfHx+sX78eADBq1ChER0cjNzcXkydPxtChQ1W21+bmo+mm1759e/Tr109pZoE7d+5g165duHTpksYHPhQB07hx4/gmwG7duuHhw4c4ffo0n67wDa9ly5bFHquzszN++OEH+Pv7w8jICGZmZiqd9IOCgmBsbIwPP/wQIpEIgwcPxu7du5GRkaHS2T85ORmnT59G69at1R6Doah7KEGhd+/eOHnyJP/e0dERWVlZKukGDBiAjh074urVq/wyDw8PPngtqmXLlnyAVhbXr1/Hzp07ARQMUaNOTExMiWMCsiLdFXx8fHDnzh2N6U1MTODn54egoCCMGzcO7dq1U5vOyMgI1tbWiImJKTZ/Qt4FBViVTHx8fLnlVZ1qsGQymcZ1HMcpBQ7Z2dkqwZVCZGQkbGrUhlxghFypHBKh5jyL7ldbPj4+uHv3rtp158+fL3F7bW4+xd306tevrzTH5syZMzFw4MBin4wNCQmBWCzGggULlJZ7eXnhwIED/PuiN7zijhUAxo8fj/Hjx6tdJ5VKcfDgQfTu3RtWVlYAgJEjR2LLli04evQoRo8erZTezs6uwgVXupScnFyu+UVGRmLw4MHw9/eHs7MzNmzYgC+//BIikfJcnTk5OWWeE7YogUCAEydOoHPnzujbty+uXbuGxo0bq00rkUgq/XhxpGKiAKuSSUhIgEwmg1BYzJ27DKpTUFXYw4cPNa6ztLRE7dq1+feKOS01yk2Ho6MTJEYCPH4UqjF4MzExQf369d+pvGWhzc2nuJuel5cXIiIikJ2djePHj+Pu3bslzpUZEhKCVq1aoUaNGkrLY2JiVJbp6oZ37tw5JCQk4IMPPkBKSgoAoHHjxnBxcUFQUJBKgOXk5FTmPPWhuIGFi34PxMXFoVOnTrh//77SdScUCiEWi5WmcSo8VVhR7xL4F5aTk4OBAwfCxsYGe/bsQXR0NLZu3YoDBw5g1KhRSmltbW2LLcu7srKywtmzZ9GuXTv07NkTN2/ehKenp0q6lJQUtR3kCSkr6oNVyfj5+RVb20IMj8nyYSYx0kvzoK4obj729vbo2bMnXr9+rbTe1taWD0qK8vLyAmMM9+/fx9y5cxEQEKAUgKoTEhKiEkjJZDKcOHEC3bp1U1quqxueoq/V+PHjYWNjAxsbG9ja2iImJgYXLlxQqQ2uqD8uzMzMNL6K9sW8efMm7t27p/IdIZPJcPfuXZw7d06r/Zb1ydFJkybh+fPnOHbsGCwtLeHt7Q1/f3+sWbNGJW39+vVVrj9dcXR0xPnz58FxHLp3747Y2Fil9QkJCcjKyjLIDx1S9VENViXTrFkziMViQxejytHUfACo3ngdHBzUToOkULjmp2HDhlrvt7wpbj7t2rVD9+7dcePGDTg7OwMouOldvnxZ7Xa1a9eGkZERpk6diry8PMyfP7/YfHJycvD06VOVYGD37t2IiIjAjBkz+GW6uuFlZWXh+PHjGDBgAGbOnKm0LjY2FiNGjMCBAwfw2WeflSmfioQxhkWLFkEgEEAul6usFwgEWLRoET8Asr788MMP2Lt3L44fPw5vb29+eUBAAHr06IFr166hY8eO/PJ27dph2bJliIqKgqurq87L4+HhgbNnz6Jjx47w9/fH1atX+SZjRT+u9u3b6zxfQqgGiygRCoWwsbGBhYWFSl+JqkwoFGp8FW0usbe3L3Zftra2yJPKkZ4jBQOn9X4NQXHzSUpKgr+/Pz8qert27RAfH4+oqCiVbYyMjODp6Yng4GCsWrUKFhYWSuuvXLkCjuP4zs2hoaGQSqWIi4vDvHnzcPnyZaxYsQKffvopVq9ejQYNGvDb6uqGd/z4cWRkZGDGjBno3Lmz0mv48OFo1qyZxqcJK6u8vDxERESoDa6AgpHwIyMjkZeXp7cyXLhwAXPnzsWSJUuU5nQFgO7du6NRo0YqtVidO3eGnZ2d0sMOutaoUSOcPHkSz58/R9++ffkm6NOnT6NDhw4VtnmYVG5Ug1XJJCcnQyqV8oPv6RrHcahVq5Ze9l1VSCQSuLu7q+3o7u7uDolEgpjUHOTky2FvLoZFOQw6WhaKm8/777+Pvn374ty5c0o3PXXT19SpUwfGxsYYO3asyrrMzEwA4GvDQkJCIJFIcObMGUycOBFr1qyBu7s7fv75Z37aEgVd3fCCgoLg7u6useP92LFjMWvWLLx8+RJ16tQpU14VhUQiwe3bt4utXXV0dNR5h/LC3n///WIH7VTX11EsFmPs2LHYt2+f2muttJYsWYIlS5aoLG/Tpg1/bQIFD0EcOnRIZYgHQnSFY0WffyUVkmL+rXnz5sHGxgaff/653jq6V0U5OTl4/fo1PD09dTaGWG5uLpKSkpCbmwuJRAJbW1v+5pWSlY/sfBksjY1gJqmcv2Nmz56N4OBgXLp0SWVdkyZN0KNHD3z//fcq6xYtWoSjR4/i4cOH4DgO06dPxz///FPsY/VAwQ3P3d0dgYGBGDNmjM6Og1R8MTExqFu3Lv766y80bdq0XPLctWsXVqxYgcePH5c440FlVNJ3nuKeEhkZqZemWUJNhJWO4kkgfT1yLZfLERERUWxTAykgkUjg4uICDw8PuLi4KNUMWJuK4GJlXGmDKwD44osvcOvWLdy/f19peV5eHp48eaJxIM6bN29i/vz5fD+fkJAQrQbtDAoKgrm5OUaOHFnWopNKxsXFBTt37iy29k3XBAIBtm/fXiWDK1Ix0JVVydjY2CA3NxeJiYkl9gV6V0lJSQAK+hIVN8ghqdo03fQeP36M/Px8jUFT4RovxhgePHiA4cOHl5gf3fCqtyFDhpRrfkWHiyBE1+ibrJJRPGb+9u1bQxeFaIExBgZAUEGHACiJupuer6+v1hOBcxyHtLQ0rdLSDY8QUpVQE2ElY21tDQAUYFUCKVn5iEjKQVq25k6/hBBCqiYKsCoZGxsbAPoLsGiyZ90RcICcMeRKqS8bIYRUN9REWMkoAqykpCTI5fIKMZYSUc9ULIREJIRYSIEqIYRUNxRgVTKWlpZo27Yt7OzstO4HQwzDSCigPzBCCKmm6Pu/kuE4Tq/TOlCzICGEEFJ2FGARFaampmCMVck5D8u71i9PKkdmrgxCAWBpUn2mHiKEGBa1cBgeBViVUHZ2NmJiYsAY08s0H15eXjrfp6GJRCJwHIfMzEyYmJiUW775MjlSsvMhMRJQgEUIKTdZWVkAUK3mlK1oKMCqhKKionD06FHY29tXmXnU9E0oFMLKygoJCQnIzc2FpaUljIyM9N4kymRySDgpJJwAOTk5es2LEEIYY8jKykJ8fDysra1pSjUDogCrEnJxcQEAJCYm8vPgkZI5OzvDxMQE8fHxWg9+SQghlZG1tTU/4ToxDAqwKiFzc3NYWloiLS0NsbGxqFWrlqGLVClwHAdra2tYWVlBJpNBKqUBQAkhVY9IJKKaqwqgWgZYO3fuxPjx49Wui4mJ0SrqDwsLQ0BAAG7cuAGxWIw+ffrgxx9/hIODg1I6uVyO77//Hps2bUJMTAy8vLwwb948jBgx4t0KnxEHwBUuLi5IS0tDTEwMBVilxHHc/7V370FRXGkbwJ8ZLgPIRXCVWxDXK6IIBqIsywLewCSoGN0xuq5JVNQkHzFLErMQs0RKRTfqV2SNYi1KXJFENypWBDeCK6vGRCOXqhQQJIi6XBSFRC4aYGb6+yPFfI4z3HtmGHx+VZbVp0/3ec8ptF9Od5+Gubm5Qb95d/9hO+qb2zF6uI3B2iQiMqba2lokJyfj8uXLuHr1Kpqbm3Hu3DmEhYXprH/p0iVs2LABBQUFsLe3h1wux9atW032m7hPZILVITExEb/+9a81yjo+RdOVqqoqhISEwMHBAVu3bkVzczN27NiB7777DleuXNF4++69997Dtm3bEB0djWeeeQYnT57EsmXLIJFIevQBXC3lWcB4P7i5uaGsrAw1NTW9PwcZ1A91LdicVQFHGwv875KJxg6HiMggysrKsH37dowbNw4+Pj74+uuvO61bVFSEWbNmYeLEidi1axeqqqqwY8cOlJeX4/Tp0waMWjxPdIL17LPPIiAgoNfHbd26FS0tLcjPz8fIkSMBANOmTcOcOXPwySefYM2aNQCA6upq7Ny5E6+//jp2794NAFi9ejVCQ0Pxzjvv4Pe//33vp3Fb6oAbeXBz8wIA9duEXL9q4PJwtIaZVAIbSyketClhY8mpeyIa/Pz9/VFfXw8nJyd8/vnnOj8e3yE+Ph6Ojo7Iy8uDvb09AGDUqFGIjo7GmTNnEB4ebqiwRfPEf2elqakJSqWyV8ccO3YMkZGR6uQKAGbPno3x48fj6NGj6rKTJ0+ivb0dr732mrpMIpHg1VdfRVVVVZfZfJdu5GGEjRJSqRQtLS18YHuAk1lIsWfZJGxZOIHJFRE9Mezs7ODk5NRtvcbGRuTk5GD58uXq5AoAVqxYAVtbW43rqil5ohOsGTNmwN7eHjY2Npg/fz7Ky8u7Paa6uhp1dXU6Z76mTZuGwsJC9XZhYSGGDBmCiRMnatXr2N8nghIW105i/rxIvPLKK7Czs+vbechgZBZP9D81IqJOfffdd1AoFFrXVUtLS/j5+fX9WmlkT+QtQhsbG7z88svqBCs/Px+7du1CUFAQCgoK4OHh0emxtbW1AP5/qYRHubq6oqGhQb10Qm1tLZydnbVu33Uc29XzU62trWhtbVVv379//5f265t/KbjbCJsJE9E6xJbPYRERUa90XMvu37+vMWskk8kMvvRPd9fVCxcuGDQesZh8gqVSqdDW1tajujKZDBKJBHK5HHK5XF0eFRWFiIgIhISEYMuWLUhJSen0HA8fPlSf63FWVlbqOjKZTP13V/U6k5SUhE2bNmmVT/ufg49sfdzp8URERN2ZPHmyxnZCQgI++OADrXp9udb2VHfX1a6ulQOZySdY58+fx4wZM3pUt7S0FF5eXjr3BQcHY/r06cjNze3yHB2fWXl0dqlDx0rdHXWsra17VE+XuLg4xMbGqrcVCgVKS0vh4eEBqXTg325qamqCt7c3SkpKeAtTzzjWhsFxNhyOtf6pVCrcunUL3t7eGkvWdDZ7Jda1VpfurquG/LyZmEw+wfLy8kJaWlqP6uqafnyUh4cHysrKenSOjinNR9XW1sLJyUn9A+rq6opz585pveXXcaybm1un7eiapv3tb3/bZWwDSceD9+7u7hrTzyQ+jrVhcJwNh2NtGI++qNUdMa+1ndXv7Lra1bVyIDP5BMvFxQUvv/yyKOe6fv261kKhj3N3d8fw4cNx9epVrX1XrlyBn5+fetvPzw+pqakoLS2Ft7e3uvzy5cvq/URERAOdmNfax02ePBnm5ua4evWqxuM7bW1tKCoq0igzJQP/XpMe3L17V6ssOzsb+fn5mDt3rkZ5RUUFKioqNMoWLVqEU6dO4b///a+67OzZs7h27ZrGOh8LFiyAhYUF9uzZoy4TBAEpKSlwd3dHUFCQWF0iIiIySQ4ODpg9ezbS09PR1NSkLj906BCam5u7XD9rIDP5Gay+CAoKwtSpUxEQEAAHBwcUFBTgwIED8PDwQHx8vEbdWbNmAQBu3LihLouPj8c///lPzJgxA+vXr0dzczM+/PBD+Pj4aHyC56mnnsKbb76JDz/8EO3t7XjmmWeQmZmJCxcu4PDhw4P6W1EymQwJCQn8ELUBcKwNg+NsOBzrwWPz5s0AgOLiYgC/JE0XL14EAGzcuFFdb8uWLQgKCkJoaCjWrFmDqqoq7Ny5E+Hh4VoTH6ZCIgiCYOwgDG3jxo3IyspCZWUlHjx4AFdXVzz//PNISEiAs7OzRt1Ro0YB0EywgF9+WGJjYzW+Rbhz506t41UqFbZv3459+/ahtrYW48aNQ1xcHP7whz/os4tERERG19XbhI+nHxcvXsS7776LgoIC2NnZQS6XIykpyWRfdHgiEywiIiIifXoin8EiIiIi0icmWEREREQiY4JFREREJDImWNQrzc3NSEhIwNy5c+Hk5ASJRIJPPvmkV+fIzc3FzJkz4eDgADs7O/j7++PIkSP6CdhE9Wecw8LCIJFIdP6xsLDQb+AmqL8/0/n5+YiMjISLiwtsbW0xZcoUfPTRR1AqlfoL2gT1d5xzcnIQHBwMGxsbODo6YvHixVovHxENJE/kMg3Ud/fu3UNiYiJGjhwJX19f5OXl9er4tLQ0rFq1CnPmzMHWrVthZmaGsrIyjTXFqH/j/N5772H16tUaZS0tLVi3bh3Cw8NFjtT09Wes8/PzERQUhHHjxuHdd9+FjY0NTp8+jfXr16OiogLJycn6C9zE9GecT506hQULFuDpp5/Gtm3b0NjYiOTkZAQHB6OwsLDbBaKJjEIg6oWff/5ZqK2tFQRBEL799lsBgJCWltajYysrKwVra2vhjTfe0GOEg0N/xlmXQ4cOCQCEw4cPixTh4NGfsY6OjhYsLS2F+vp6jfKQkBDB3t5e7FBNWn/G2dvbWxg7dqzQ2tqqLisqKhKkUqkQGxurj3CJ+o23CKlXZDIZXFxc+nRsSkoKlEolEhMTAfxyy0DgKiE69WecdcnIyMCQIUOwYMEC0c45WPRnrBsbG2FlZYWhQ4dqlLu6uprsB2r1pa/j3NDQgJKSEixcuBCWlpbqcl9fX0ycOBGfffaZmGESiYYJFhlMbm4uvLy8kJ2djaeeegp2dnYYNmwY3n//fahUKmOHN2jdvXsXOTk5iIqKwpAhQ4wdzqASFhaGxsZGrF27FqWlpbh58yZSUlJw/PhxxMXFGTu8QaG1tRUAdCasNjY2qKmpwe3btw0dFlG3+AwWGUx5eTnMzMzwyiuvYMOGDfD19cXx48exefNmKBQKJCUlGTvEQenIkSNQKBT8eoAeREdHo7i4GPv27UNqaioAwMzMDLt378a6deuMHN3g4OzsjKFDh+Krr77SKK+vr0dJSQkAoLq6WtQZXyIxcAaLDKa5uRk//vgjNm3ahMTERCxatAiHDx/G3LlzkZycrPGRTxJPRkYGhg8fjjlz5hg7lEHHzMwMY8aMQUREBA4ePIgjR45g3rx5iImJQWZmprHDGxSkUinWrl2Ls2fPIi4uDuXl5cjPz4dcLkdbWxsA4OHDh0aOkkgbEywymI4p/qVLl2qUL126FA8fPkRhYaExwhrUrl+/jq+//hpLliyBuTknrMW2bds2bN++HZ9++ilWrFgBuVyOEydOIDg4GK+//joUCoWxQxwUEhMTsWrVKvz1r3/F+PHjERAQAHNzc6xatQoAYGtra+QIibQxwSKDcXNzAwCtD2KPGDECAPDjjz8aPKbBLiMjAwB4e1BP9uzZg5kzZ2pd4OfPn4+amhqu0yQSS0tLpKamoqamBufPn0dZWRm+/PJL3L9/H1KpFGPHjjV2iERa+CstGYy/vz/Ky8tRXV2N0aNHq8tramoAgGvZ6EFGRgbGjBmDwMBAY4cyKN25c0fngqLt7e0AwBkskTk7O6t/QVMqlcjLy8P06dM5g0UDEmewSC9qa2vx/fffqy80ALBkyRIAwP79+9VlKpUKaWlpcHJygr+/v8HjNHW6xrlDYWEhSktLsWzZMiNENvjoGuvx48cjJycH9fX16jKlUomjR4/Czs4OY8aMMUaoJq2rn+lH7dixA7W1tXjrrbcMFBlR73AGi3pt9+7d+Omnn9QzT1988QWqqqoAADExMXBwcEBcXBwOHjyIyspKjBo1CgCwYMECzJo1C0lJSbh37x58fX2RmZmJixcvYt++fZDJZMbq0oDU13HucPjwYQC8PdgTfR3rP//5z1i+fDmmT5+ONWvWwNraGp9++iny8/OxefNmfproMX0d5/T0dBw7dgwhISGwtbVFbm4ujh49itWrV2PRokXG6g5R14y90imZHk9PTwGAzj+VlZWCIAjCSy+9pLHdoampSVi/fr3g4uIiWFpaCj4+PkJ6errhO2EC+jPOSqVScHd3F55++mnDB26C+jPW//rXv4TQ0FDhV7/6lfpnOiUlxfCdMAF9HefLly8LISEhgqOjo2BlZSX4+voKKSkpgkqlMk5HiHpAIghcSpuIiIhITHwGi4iIiEhkTLCIiIiIRMYEi4iIiEhkTLCIiIiIRMYEi4iIiEhkTLCIiIiIRMYEi4iIiEhkTLCIiIiIRMYEi4iIiEhkTLCIiIiIRMYEi4ieGIIgwN/fH+Hh4cYORaeysjKYm5tjz549xg6FiPqJCRYRAQBu3LgBiUQCiUQCFxcXKBQKnfVKS0vV9UaNGmXYIPvpH//4BwoKCpCYmKguG0j9njBhApYuXYpNmzahqalJL20QkWEwwSIiDebm5rhz5w6ys7N17t+/fz+kUimkUtP670OlUuGDDz7A7373OwQGBmrtHyj93rBhA+rq6vDRRx/ptR0i0i/T+h+SiPQuKCgIDg4OOHDggNY+hUKB9PR0zJ49GxYWFkaIru9Onz6NGzduYMWKFTr3D5R++/j4YMqUKfj73/8OlUql17aISH+YYBGRBmtra7z44ovIyspCXV2dxr5Tp07hzp07WLlypdZxbW1t+Nvf/oaIiAh4eHhAJpNhxIgReOGFF1BYWKizrWPHjiE0NBQjRoyAlZUV3NzcMHv2bBw7dqxP9bqSlpYGiUSCRYsWidpvfZDL5bh58ybOnTtnkPaISHxMsIhIy8qVK6FQKHDo0CGN8gMHDsDJyQlRUVFaxzQ0NODNN99Ea2srnnvuOfzpT39CWFgYsrOzERQUhG+//Vaj/t69e7F48WKUl5dj4cKFiI2Nxdy5c3H79m2cOHGi1/W6IggCzp07hwkTJsDR0VHUfuvDb37zGwDA2bNnDdIeEYnP3NgBENHAM23aNEyePBlpaWl46623AAC3b9/G6dOn8eqrr0Imk2kd4+joiFu3bsHd3V2jvLi4GIGBgYiPj0dOTo66PDU1FZaWligqKsKIESM0jqmvr+91va6UlpaioaEBzz77rOj91oeAgAAAwFdffWWQ9ohIfJzBIiKdVq5cieLiYly+fBkAcPDgQSgUik5vk8lkMq3kCgAmTZqEGTNm4Pz582hvb9fYZ2FhofOZpmHDhvWpXmeqqqoAAM7Ozt3W7W2/9cHe3h5WVlbquInI9DDBIiKdli9fDgsLC/VD32lpaZg6dSr8/Pw6PaaoqAjLli3DyJEjYWlpqV7W4IsvvkBbWxvu3bunrvviiy+ipaUFkydPxjvvvIPs7Gw0NjZqnbOn9brSMdM1dOhQvfRbH5ycnDTGi4hMCxMsItJp+PDhmDdvHj777DPk5uairKysy1mcS5cuITAwEMePH4efnx9iYmLwl7/8BQkJCfD19QUAtLa2quu//fbb2L9/P9zc3LBz5048//zzGDZsGKKiolBZWdnrel2xtrYGAPz888+i97szBw4cgJ+fn/qh/JiYmB7f0gSAhw8fwsbGptftEtEAIRARCYJQWVkpABAiIiLUZVlZWQIAwd3dXbCyshIaGhrU+2QymeDp6anefu655wQAwoULF7TOHRERIQAQKisrdbZ979494cSJE4JcLhcACN7e3oJCoehzvcddvHhRACCsW7dO9H7r8sYbbwi+vr7Cl19+Kfz000/C999/L7z22mvC2LFjhbq6um7jVSqVglQqFXx8fLqtS0QDE2ewiKhTERERcHd3R3V1NaKiorp8A6+iogJOTk4IDg7WKH/w4AEKCgq6bKdjRurIkSOYOXMmSkpK8MMPP/S53uMmTZoEqVSKsrKybusCvev34/79738jKysL58+fR3h4OBwcHDBhwgR8/PHHeOGFFxAbG9vtOcrLy6FSqeDj49PjdoloYOFbhETUKTMzM2RmZqKqqqrbZ5A8PT1x7do1FBcXY9KkSQAApVKJt99+G3fv3tWqn5eXh9DQUEgkEnVZe3s7GhoaAABWVla9qteVoUOHYsqUKbh69SpUKlW3q7H3pt+PS09PR2xsLOzt7bX2xcfHw8PDA21tbbC0tOz0HB0P2IeGhvaqbSIaOJhgEVGXAgIC1MsGdCUmJgZnzpxBcHAw5HI5rKyskJeXh+rqaoSFhSEvL0+jflRUFOzt7REYGAhPT0+0t7cjJycHJSUlWLx4MTw9PXtVrzsLFy5EQkICvvnmGwQFBYnW78dVVVVh6dKl6m2JRIK9e/di3bp1cHBwgK2tLerr6+Hq6trpOXJycmBubo7IyMhet09EAwNvERKRKCIjI/H5559j9OjRSE9PR0ZGBry8vHDlyhWdSVBSUhKmTp2KK1euYPfu3UhPT4etrS327t2LjIyMXtfrzurVq2Fubo709HRR+tsZd3d3VFRUqLcfXdy0qakJzc3NcHJy6vT4Bw8eIDMzE5GRkXBzc9NrrESkPxJBEARjB0FEZAh//OMfkZWVhZs3b8LOzk4vbZw5cwYxMTHIz8+Hra2txr6NGzfi+vXrXSaGqampiI6Oxn/+8x+EhIToJUYi0j8mWET0xLh58ya8vLzw/vvvIz4+Xm/trF27FgUFBdi1axemTZuGO3fuIDk5GcePH8elS5c6vT2oUCgwfvx4+Pj44OTJk3qLj4j0j7cIieiJ4enpiYMHD+pt9qpDSkoKXnrpJaxatQrW1taYMmUKGhoa8M0333T57NWtW7ewYsUK7Nq1S6/xEZH+cQaLiEiPevLWIhENPkywiIiIiETGX6uIiIiIRMYEi4iIiEhkTLCIiIiIRMYEi4iIiEhkTLCIiIiIRMYEi4iIiEhkTLCIiIiIRMYEi4iIiEhkTLCIiIiIRMYEi4iIiEhkTLCIiIiIRMYEi4iIiEhkTLCIiIiIRMYEi4iIiEhkTLCIiIiIRPZ/epuotNa9WQMAAAAASUVORK5CYII=", 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\n", " " ], "text/plain": [ "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "mzp.plot_reactions(1, PPM50, 11000, \"K-39\", plot_isos=[\"K-39\",\"K-40\"], minFij=-5, maxFij=-3, minX=-10, maxX=-3, ignore=['(+,g)','(-,g)'], legend_fontsize=11, ncol=2)\n", "\n", "#plt.savefig(\"../figures/k40_MLT.pdf\")" ] }, { "cell_type": "code", "execution_count": 46, "id": "0d519f27-759f-42e7-8b94-13f9f5aaa151", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " reading ['iso_massf']...100%" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "cd41028fa81d40f8bdb75c66ec8e9a6d", "version_major": 2, "version_minor": 0 }, "image/png": 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\n", " " ], "text/plain": [ "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "mzp.plot_reactions(1, MLT, 11000, \"K-40\", plot_isos=[\"K-39\",\"K-40\"], minFij=-9, maxFij=-7, minX=-10, maxX=-3, ignore=['(+,g)','(-,g)'], legend_fontsize=11, ncol=2)\n", "\n", "#plt.savefig(\"../figures/k40_MLT.pdf\")" ] }, { "cell_type": "code", "execution_count": 96, "id": "c5ef7810-7823-4452-ac4c-11b237b7fb53", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " reading ['iso_massf']...100%" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "b9f7b3b9463c4b78b2b38654b3a36ed7", "version_major": 2, "version_minor": 0 }, "image/png": 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", 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\n", " " ], "text/plain": [ "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "mzp.plot_reactions(3, PPM50, 11000, \"Cl-35\", plot_isos=[\"K-39\",\"K-40\"], minFij=-5, maxFij=-3, minX=-7, maxX=-2, ignore=['(+,g)','(-,g)'])\n", "\n", "#plt.savefig(\"../figures/k40_PPM50.pdf\")" ] }, { "cell_type": "code", "execution_count": 90, "id": "601a1859-5bf9-4412-848b-ec88d6944b25", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " reading ['mass']...100%" ] }, { "data": { "text/plain": [ "array([ 4.41461134e-11, -7.10625611e-09, -9.15626169e-09, 5.26601779e-09,\n", " -4.36413368e-09, -4.36413368e-09, 1.07744565e-07, -5.76059229e-09,\n", " -6.52919592e-08, -1.22498999e-07, -1.22498999e-07, -6.10189600e-12,\n", " -2.15071445e-10, -3.28627487e-10])" ] }, "execution_count": 90, "metadata": {}, "output_type": "execute_result" } ], "source": [ "relevant_f_ij_m = PPM50.get_relevant_fluxes(\"K-40\", 11000)\n", "\n", "f_ij = relevant_f_ij_m.f_ij\n", "\n", "mass = PPM50.get('out', 11000, 'mass').value\n", "\n", "f_ij_numpy = np.vstack(f_ij.to_numpy())\n", "\n", "f_ij_numpy.shape\n", "\n", "int_f_tm = np.trapz(f_ij_numpy, mass) / (mass[-1] - mass[0])\n", "\n", "int_f_tm" ] }, { "cell_type": "code", "execution_count": 93, "id": "1bf8350b-e87f-4e81-99aa-9a7f10eae21c", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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ISO1ISO2f_ijREACNUMNUM1NUM2INPUT2NUM3NUM4OUTPUT2TYPEVVARidx1idx2
0Cl-36K-40[8.169958283745773e-11, 7.624890504878784e-11,...17181.01.0He-41.00.0OOOOO(a,g)[167168.0, 166866.0, 166242.0, 165283.0, 16364...1.01394
1Cl-37K-40[4.505171860551684e-09, 4.350351283106481e-09,...17341.01.0He-41.01.0Neutron-1(a,n)[2156580.0, 2151220.0, 2140140.0, 2123160.0, 2...1.01404
2Ar-37K-40[2.5795605395223004e-08, 2.4975616779074708e-0...19231.01.0He-41.01.0H-1(a,p)[785208.0, 783343.0, 779491.0, 773582.0, 76353...1.01544
3Ar-39K-40[-1.3521029734597534e-08, -1.6877028055700458e...19441.01.0H-11.00.0OOOOO(p,g)[20233500000.0, 20216300000.0, 20180700000.0, ...1.01561
4Ar-40K-40[-6.530672998386538e-09, -6.502006065952314e-0...19601.01.0H-11.01.0Neutron-1(p,n)[12394000000.0, 12372400000.0, 12327500000.0, ...1.01571
5Ar-40K-40[-6.530672998386538e-09, -6.502006065952314e-0...19661.00.0OOOOO1.00.0OOOOO(-,g)[7.80646e-09, 7.78872e-09, 7.75207e-09, 7.6958...1.0157-99
6K-39K-40[3.0833847171387215e-07, 2.1249016189631022e-0...21431.01.0Neutron-11.00.0OOOOO(n,g)[3913650000000.0, 3911860000000.0, 39081500000...1.01710
7K-41K-40[-1.989211996596665e-08, -1.9817456924468115e-...21721.00.0OOOOO1.01.0Neutron-1(g,n)[0.649513, 0.646051, 0.638933, 0.6280979999999...1.0173-99
8Ca-41K-40[-3.961511696224067e-07, -3.946922481026845e-0...23781.00.0OOOOO1.01.0H-1(g,p)[0.384493, 0.382496, 0.37839, 0.372138, 0.3616...1.0188-99
9Ca-40K-40[-8.978445128969501e-07, -8.964874624130155e-0...23611.01.0Neutron-11.01.0H-1(n,p)[174814000000.0, 174580000000.0, 174095000000....1.01870
10Ca-40K-40[-8.978445128969501e-07, -8.964874624130155e-0...23721.00.0OOOOO1.00.0OOOOO(+,g)[1.4743299999999998e-09, 1.4707300000000002e-0...1.0187-99
11Sc-44K-40[7.622855538733467e-11, 7.659825776401773e-11,...26171.00.0OOOOO1.01.0He-4(g,a)[0.017265400000000004, 0.017176900000000002, 0...1.0205-99
12Sc-43K-40[-7.159866986497739e-10, -7.186013702470423e-1...25971.01.0Neutron-11.01.0He-4(n,a)[1237960000000.0, 1237010000000.0, 12350500000...1.02040
13Ca-43K-40[5.498019721674256e-10, 5.434887868763542e-10,...24081.01.0H-11.01.0He-4(p,a)[13309100.0, 13281300.0, 13223900.0, 13135700....1.01901
\n", "
" ], "text/plain": [ " ISO1 ISO2 f_ij REACNUM \\\n", "0 Cl-36 K-40 [8.169958283745773e-11, 7.624890504878784e-11,... 1718 \n", "1 Cl-37 K-40 [4.505171860551684e-09, 4.350351283106481e-09,... 1734 \n", "2 Ar-37 K-40 [2.5795605395223004e-08, 2.4975616779074708e-0... 1923 \n", "3 Ar-39 K-40 [-1.3521029734597534e-08, -1.6877028055700458e... 1944 \n", "4 Ar-40 K-40 [-6.530672998386538e-09, -6.502006065952314e-0... 1960 \n", "5 Ar-40 K-40 [-6.530672998386538e-09, -6.502006065952314e-0... 1966 \n", "6 K-39 K-40 [3.0833847171387215e-07, 2.1249016189631022e-0... 2143 \n", "7 K-41 K-40 [-1.989211996596665e-08, -1.9817456924468115e-... 2172 \n", "8 Ca-41 K-40 [-3.961511696224067e-07, -3.946922481026845e-0... 2378 \n", "9 Ca-40 K-40 [-8.978445128969501e-07, -8.964874624130155e-0... 2361 \n", "10 Ca-40 K-40 [-8.978445128969501e-07, -8.964874624130155e-0... 2372 \n", "11 Sc-44 K-40 [7.622855538733467e-11, 7.659825776401773e-11,... 2617 \n", "12 Sc-43 K-40 [-7.159866986497739e-10, -7.186013702470423e-1... 2597 \n", "13 Ca-43 K-40 [5.498019721674256e-10, 5.434887868763542e-10,... 2408 \n", "\n", " NUM1 NUM2 INPUT2 NUM3 NUM4 OUTPUT2 TYPE \\\n", "0 1.0 1.0 He-4 1.0 0.0 OOOOO (a,g) \n", "1 1.0 1.0 He-4 1.0 1.0 Neutron-1 (a,n) \n", "2 1.0 1.0 He-4 1.0 1.0 H-1 (a,p) \n", "3 1.0 1.0 H-1 1.0 0.0 OOOOO (p,g) \n", "4 1.0 1.0 H-1 1.0 1.0 Neutron-1 (p,n) \n", "5 1.0 0.0 OOOOO 1.0 0.0 OOOOO (-,g) \n", "6 1.0 1.0 Neutron-1 1.0 0.0 OOOOO (n,g) \n", "7 1.0 0.0 OOOOO 1.0 1.0 Neutron-1 (g,n) \n", "8 1.0 0.0 OOOOO 1.0 1.0 H-1 (g,p) \n", "9 1.0 1.0 Neutron-1 1.0 1.0 H-1 (n,p) \n", "10 1.0 0.0 OOOOO 1.0 0.0 OOOOO (+,g) \n", "11 1.0 0.0 OOOOO 1.0 1.0 He-4 (g,a) \n", "12 1.0 1.0 Neutron-1 1.0 1.0 He-4 (n,a) \n", "13 1.0 1.0 H-1 1.0 1.0 He-4 (p,a) \n", "\n", " V VAR idx1 idx2 \n", "0 [167168.0, 166866.0, 166242.0, 165283.0, 16364... 1.0 139 4 \n", "1 [2156580.0, 2151220.0, 2140140.0, 2123160.0, 2... 1.0 140 4 \n", "2 [785208.0, 783343.0, 779491.0, 773582.0, 76353... 1.0 154 4 \n", "3 [20233500000.0, 20216300000.0, 20180700000.0, ... 1.0 156 1 \n", "4 [12394000000.0, 12372400000.0, 12327500000.0, ... 1.0 157 1 \n", "5 [7.80646e-09, 7.78872e-09, 7.75207e-09, 7.6958... 1.0 157 -99 \n", "6 [3913650000000.0, 3911860000000.0, 39081500000... 1.0 171 0 \n", "7 [0.649513, 0.646051, 0.638933, 0.6280979999999... 1.0 173 -99 \n", "8 [0.384493, 0.382496, 0.37839, 0.372138, 0.3616... 1.0 188 -99 \n", "9 [174814000000.0, 174580000000.0, 174095000000.... 1.0 187 0 \n", "10 [1.4743299999999998e-09, 1.4707300000000002e-0... 1.0 187 -99 \n", "11 [0.017265400000000004, 0.017176900000000002, 0... 1.0 205 -99 \n", "12 [1237960000000.0, 1237010000000.0, 12350500000... 1.0 204 0 \n", "13 [13309100.0, 13281300.0, 13223900.0, 13135700.... 1.0 190 1 " ] }, "execution_count": 93, "metadata": {}, "output_type": "execute_result" } ], "source": [ "relevant_f_ij_m" ] }, { "cell_type": "code", "execution_count": 74, "id": "f8457036-27a9-46fb-a640-38f22cf5b52c", "metadata": {}, "outputs": [], "source": [ "# method only works with one (v,v) :: ie not C-12 + O-16 \n", "possible_reactions = ['(v,v)', '(a,g)', '(a,n)', '(a,p)', '(p,g)', '(p,n)', '(n,g)', '(g,n)', '(g,p)', '(n,p)', '(g,a)', '(n,a)', '(p,a)']\n", "\n", "def integrate(obj, isotopes, step, ignore=[]):\n", " mass = obj.get('out', 11000, 'mass').value\n", " \n", " cycles = np.array(list(range(11000, 11000+2, 1)))\n", " time = cycles * 0.01\n", " \n", " int_f_t = np.zeros((len(isotopes),len(possible_reactions),len(time)))\n", "\n", " reac_idx = []\n", " \n", " for t, cycle in enumerate(cycles):\n", " print(cycle)\n", " for k, isotope in enumerate(isotopes):\n", " relevant_f_ij_m = obj.get_relevant_fluxes(isotope, cycle)\n", " f_ij = relevant_f_ij_m.f_ij\n", " f_ij_numpy = np.vstack(f_ij.to_numpy())\n", "\n", " reactions = relevant_f_ij_m.TYPE.to_numpy()\n", " \n", " if ignore != []:\n", " mask = ~np.isin(reactions, ignore)\n", " f_ij_numpy = f_ij_numpy[mask]\n", " reactions = reactions[mask]\n", " # also there's a second (g,p) that is from like some reaction that i dont get\n", " if len(list(set(reactions))) != len(reactions):\n", " f_ij_numpy = f_ij_numpy[:-1]\n", " reactions = reactions[:-1]\n", "\n", " int_f_tm = np.trapz(f_ij_numpy, mass) / (mass[-1] - mass[0])\n", " \n", " # manual override\n", " if isotope != 'P-31':\n", " int_f_tm = np.array([0.] + list(int_f_tm))\n", " \n", " int_f_t[k,:,t] = int_f_tm\n", " \n", " percentage_contribution = np.zeros((len(isotopes),len(possible_reactions)))\n", " reaction_direction = np.zeros((len(isotopes),len(possible_reactions)))\n", " \n", " for k, isotope in enumerate(isotopes):\n", " int_f = np.trapz(int_f_t[k,:], time) / (time[-1] - time[0])\n", " \n", " abs_f = np.abs(int_f)\n", " \n", " percentage_contribution[k,:] = np.round(abs_f / np.sum(abs_f), 2)\n", " reaction_direction[k,:] = np.sign(int_f)\n", " \n", " \n", " return percentage_contribution, reaction_direction" ] }, { "cell_type": "code", "execution_count": 75, "id": "60a53734-758e-4d56-830d-50e62987d7b5", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Calculating the MLT results\n", " reading ['mass']...100%11000\n", "11001\n", " reading ['iso_massf']...100%\n", "Calculating the PPM50 results\n", " reading ['mass']...100%11000\n", "11001\n", " reading ['iso_massf']...100%" ] } ], "source": [ "lightoddZ = ['P-31', 'Cl-35', 'Cl-37', 'K-39', 'K-40', 'K-41', 'Sc-45']\n", "\n", "print(\"Calculating the MLT results\")\n", "\n", "results_MLT = np.zeros((len(lightoddZ), len(possible_reactions)))\n", "\n", "percentage_contribution, reaction_direction = integrate(MLT, lightoddZ, 100, ['(+,g)', '(-,g)'])\n", " \n", "results_MLT = reaction_direction * percentage_contribution\n", "\n", "print()\n", "print(\"Calculating the PPM50 results\")\n", "\n", "results_PPM50 = np.zeros((len(lightoddZ), len(possible_reactions)))\n", "\n", "percentage_contribution, reaction_direction = integrate(PPM50, lightoddZ, 100, ['(+,g)', '(-,g)'])\n", " \n", "results_PPM50 = reaction_direction * percentage_contribution" ] }, { "cell_type": "code", "execution_count": 78, "id": "3ab53fe9-9d03-4081-949f-340863b68efb", "metadata": {}, "outputs": [], "source": [ "def format_rtype(x, flip=False, info=None):\n", " \n", " if x.find(\"+,g\") != -1: x = '(+)'\n", " if x.find(\"-,g\") != -1: x = '(-)'\n", " \n", " if flip:\n", " x = flip_reaction(x)\n", " \n", " s = x.translate(str.maketrans({\"a\": r\"$\\alpha$\", \"g\": r\"$\\gamma$\", 'p': r'\\pt', 'n': r'\\nt', '+': r'$\\beta^{+}$', '-': r'$\\beta^{-}$'}))\n", " \n", " if s == '(v,v)': s = r\"\\oxygen[16](\\oxygen[16],\\pt)\"\n", " \n", " return s" ] }, { "cell_type": "code", "execution_count": 77, "id": "3be1632f-2b4b-4b3c-bbeb-1ac6b63e748c", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\\begin{table*}[ht]\n", "\\centering\n", "\\begin{tabular}{lrrrrrrrrrrrrr}\n", "\\toprule\n", "Isotope & \\oxygen[16](\\oxygen[16],\\nt) & ($\\alpha$,$\\gamma$) & ($\\alpha$,\\nt) & ($\\alpha$,\\pt) & (\\pt,$\\gamma$) & (\\pt,\\nt) & (\\nt,$\\gamma$) & ($\\gamma$,\\nt) & ($\\gamma$,\\pt) & (\\nt,\\pt) & ($\\gamma$,$\\alpha$) & (\\nt,$\\alpha$) & (\\pt,$\\alpha$) \\\\\n", "\\toprule\n", "\\phosphorus[31] & $+0.91$ & & & $-0.04$ & $+0.02$ & & & & $-0.01$ & & & & $-0.01$ \\\\\n", "\\chlorine[35] & & & & $+0.05$ & $-0.9$ & $+0.01$ & & & $-0.03$ & & & & $-0.01$ \\\\\n", "\\chlorine[37] & & & & $-0.06$ & $+0.03$ & & & & $-0.53$ & $+0.38$ & & & \\\\\n", "\\potassium[39] & & & & $+0.01$ & $-0.96$ & & & & $-0.01$ & & & & $-0.01$ \\\\\n", "\\potassium[40] & & & $-0.02$ & $-0.03$ & $+0.02$ & $-0.01$ & $+0.33$ & $-0.02$ & $-0.2$ & $-0.37$ & & & \\\\\n", "\\potassium[41] & & $+0.11$ & & $-0.33$ & $+0.2$ & & $+0.15$ & & $-0.05$ & $-0.15$ & & $+0.01$ & \\\\\n", "\\scandium[45] & & & & $+0.08$ & $+0.29$ & & $+0.01$ & $-0.02$ & $-0.49$ & $+0.1$ & & & \\\\\n", "\\toprule\n", "\\end{tabular}\n", "\\caption{Reaction fluxes contributing to the light odd-Z isotopes $\\langle \\mathrm{contributions} \\rangle_i$ for the MLT mixing case with an ingestion rate of $\\unit{\\natlog{4}{-3}}{\\Msun\\second^{-1}}$. Contributions starting with $+$ are productive, and those starting with $-$ are destructive.}\n", "\\label{tab:reaction_contributions}\n", "\\end{table*}\n" ] } ], "source": [ "def results_to_latex_table(results, row_labels, col_labels, caption=None, label=None):\n", " table = []\n", "\n", " # Begin tabular\n", " header = r\"\\begin{tabular}{\" + \"l\" + \"r\" * len(col_labels) + \"}\"\n", " table.append(header)\n", " table.append(r\"\\toprule\")\n", "\n", " # Column header\n", " col_header = [\"Isotope\"] + [format_rtype(rxn) for rxn in col_labels]\n", " table.append(\" & \".join(col_header) + r\" \\\\\")\n", " table.append(r\"\\toprule\")\n", "\n", " # Body: rows = isotopes, columns = reactions\n", " for i, isotope in enumerate(row_labels):\n", " row = [isotope]\n", " for j in range(len(col_labels)):\n", " val = results[i, j]\n", " if val < 0:\n", " cell = rf\"${val:.3g}$\"\n", " elif val > 0:\n", " cell = rf\"$+{val:.3g}$\"\n", " else:\n", " cell = \"\"\n", " row.append(cell)\n", " table.append(\" & \".join(row) + r\" \\\\\")\n", "\n", " table.append(r\"\\toprule\")\n", " table.append(r\"\\end{tabular}\")\n", "\n", " # Optionally wrap with table environment\n", " if caption or label:\n", " wrapped = [r\"\\begin{table*}[ht]\",\n", " r\"\\centering\"] + table\n", " if caption:\n", " wrapped.append(rf\"\\caption{{{caption}}}\")\n", " if label:\n", " wrapped.append(rf\"\\label{{{label}}}\")\n", " wrapped.append(r\"\\end{table*}\")\n", " return \"\\n\".join(wrapped)\n", " else:\n", " return \"\\n\".join(table)\n", "\n", "\n", "# Example usage:\n", "latex_table = results_to_latex_table(\n", " results_PPM50,\n", " row_labels=[r'\\phosphorus[31]', r'\\chlorine[35]', r'\\chlorine[37]',\n", " r'\\potassium[39]', r'\\potassium[40]', r'\\potassium[41]', r'\\scandium[45]'],\n", " col_labels=possible_reactions,\n", " caption=r\"Reaction fluxes contributing to the light odd-Z isotopes $\\langle \\mathrm{contributions} \\rangle_i$ for the MLT mixing case with an ingestion rate of $\\unit{\\natlog{4}{-3}}{\\Msun\\second^{-1}}$. Contributions starting with $+$ are productive, and those starting with $-$ are destructive.\",\n", " label=\"tab:reaction_contributions\"\n", ")\n", "\n", "print(latex_table)" ] }, { "cell_type": "code", "execution_count": 67, "id": "75287834-a971-45c9-ba46-4ddf49848e30", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([ 0. , 0. , -0.02, -0.03, 0.02, -0.01, 0.33, -0.02, -0.2 ,\n", " -0.37, -0. , -0. , -0. ])" ] }, "execution_count": 67, "metadata": {}, "output_type": "execute_result" } ], "source": [ "results_PPM50[4,]" ] }, { "cell_type": "code", "execution_count": null, "id": "3e969d1b-a39b-4597-a7cf-889af8163785", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.9" } }, "nbformat": 4, "nbformat_minor": 5 }