diff --git a/examples/load_waveform_demo.ipynb b/examples/load_waveform_demo.ipynb index ae039627..184f2e1d 100644 --- a/examples/load_waveform_demo.ipynb +++ b/examples/load_waveform_demo.ipynb @@ -52,14 +52,21 @@ "load_waveform(origin='LAL', **kwargs)\n", " Load waveform.\n", " \n", - " parameters:\n", + " Parameters\n", " ----------\n", " origin: str\n", " The origin of the waveform to be generated/loaded. This can be one of\n", + " \n", " - \"LAL\": Compute waveform by a call to the LAL-library.\n", " (see https://lscsoft.docs.ligo.org/lalsuite/lalsimulation/)\n", " - \"SXSCatalog\": Import waveform by reading a file in the SXS catalog\n", - " format.\n", + " in the new format (from 2023 onward) where the waveform files are\n", + " named as `Strain_N{extrap_order}.h5` for a given extrapolation\n", + " order `extrap_order`.\n", + " (see https://data.black-holes.org/waveforms/documentation.html)\n", + " - \"SXSCatalog_old\": Import waveform by reading a file in the SXS\n", + " catalog in the old format (prior to 2023) where the waveform file\n", + " is named as `rhOverM_Asymptotic_GeometricUnits_CoM.h5`.\n", " (see https://data.black-holes.org/waveforms/documentation.html)\n", " - \"LVCNR\": Import waveform by reading a file in the LVCNR-data format.\n", " (see https://arxiv.org/abs/1703.01076)\n", @@ -74,8 +81,8 @@ " Allowed kwargs depend on origin. Run\n", " `load_data.get_load_waveform_defaults(origin)` to see\n", " allowed keys and defaults.\n", - " Returns:\n", - " --------\n", + " Returns\n", + " -------\n", " dataDict:\n", " Dictionary of time, modes etc. For detailed structure of the returned\n", " dataDict see gw_eccentricity.measure_eccentricity.\n", @@ -105,7 +112,7 @@ { "data": { "text/plain": [ - "['LAL', 'SXSCatalog', 'LVCNR', 'LVCNR_hack', 'EOB', 'EMRI']" + "['LAL', 'SXSCatalog', 'SXSCatalog_old', 'LVCNR', 'LVCNR_hack', 'EOB', 'EMRI']" ] }, "execution_count": 3, @@ -180,7 +187,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 6, @@ -189,7 +196,7 @@ }, { "data": { - "image/png": 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bSw1SN4N8IiIiIiIiomFUVF8ND2t7g9TNIJ+IiIiIiIhomAiCgKIGJTw4kk9EREREREQ0tpU01qKpvQ1eNuMNUj+DfCIiIiIiIqJhkl1TDgDwtZtgkPoZ5BMRERERERENk0xlGcyMjDHRhmvyiYiIiIiIiMa0rJpy+Ng6wsTI2CD1M8gnIiIiIiIiGiZp1Q8wSWqYqfoAg3wiIiIiIiKiYdHe2YHkyiIEOnoarA0G+URERERERETDIL26FE3tbQieMNFgbTDIJyIiIiIiIhoGlx9kw9zYBP7j3QzWBoN8IiIiIiIiomEQV3AfC1zlsDQxM1gbDPKJiIiIiIiIDExRU46rJQqs9/Y3aDsM8omIiIiIiIgMqLm9Db+6dgjOljZ4wifAoG2ZGLR2IiIiIiIiokdYcUMN3jjzH6RVl+CjFS/CwsTUoO0xyCciIiIiIiIygOrmBmw8+i8AwIG134W/o7vB22SQT0RERERERGQA2xNPob6tBXEbfgQ3a+mwtMk1+UREREREREQiq25uQExWAiJnLBq2AB9gkE9EREREREQkupP5qWjt6MAzk2cPa7sM8omIiIiIiIhEdrowDcFOnnCytBnWdhnkExEREREREYmoo7MTF4uzsNxjyrC3zSCfiIiIiIiISESZNWWob2vBbGfvYW+bQT4RERERERGRiO5UFEICCWY6egx72wzyiYiIiIiIiESUVF6ASVInWJuaD3vbDPKJiIiIiIiIRJRUUYiAERjFBxjkExEREREREYmmU+hEhrIU0x3cRqR9BvlEREREREREIimqV6Klox1yO6cRaZ9BPhEREREREZFIsmrKAQC+DPKJiIiIiIiIxrasmjJYGJvC3Vo6Iu0zyCciIiIiIiISSZayHHI7RxhJRibcZpBPREREREREJJKsmnL42k0YsfYZ5BMRERERERGJJLumfMSS7gEM8omIiIiIiIhEUd3SiIrm+hFLugcwyCciIiIiIiIShUKVWV/KIJ+IiIiIiIhoTMtUlkECCXxsGeQTERERERERjWlZNeXwtLaHpYnpiPWBQT4RERERERGRCEY66R7AIJ+IiIiIiIhIFFk15SO6Hh9gkE9ERERERESkt5aOduTXVUE+guvxAQb5RERERERERHrLq6tEh9DJkXwiIiIiIiKisS5L+c32eXYTRrQfDPIHoVAoRroLRERERERENAZk15TDzswS4y3GjWg/TEa0dQ0oFApERUXBwcEBACCVSrF9+3at6ti5cyfi4uIQExOjtoxcLu8X1FdXV2vfYSIiIiIiInrkZNWUwdfOCRKJZET7MaqDfIVCAblcjpiYGISHhwMAIiIiEBERMWjArhIfH4+YmBjs3LkTwcHBasvFxsZCJpN1twF0Bf1SqVTvz0BEREREREQPv6yacky1dx7pbgx/kJ+Tk4Pbt29j06ZNQ5aNjIzsF3xv374dcrkc8fHxCA0NHfT60NBQhIaGYs+ePYOWi46ORkxMDIN6IiIiIiIi0pogCMiuKcc6b/+R7or4a/KTkpKwZcsWrFq1Cu+88w7q6up6nffx8cGpU6fg6Og4aD1KpXLAQF4mk+k0ZV+d+Ph4xMfH44033sDOnTuhVCpFqZeIiIiIiIgeDaVNdahva4Gv3chm1gdEDvJPnz6NkJAQxMTEIDs7Gx988AGkUin279/fq1xISMiQ693j4+O7y/Ylk8m6z+srLi4OQNeU/cjISNjb22Pnzp2i1E1EREREREQPv/TqEgAjn1kfEDnIj4qKAgAkJCQgKysLVVVVuHnzJr766iv84Q9/0KquwTLbq5LwiTHqvn37dgiCgISEBGzduhVA1zIBBvpERERERESkiXtVDzDOxAzetg4j3RVxg/zExERs27YNQUFB3ceCg4OxZ88e2NnZ4cMPP9S4rsrKSgDfBvQ9qdbOV1VV6dfhHoKDgxEdHY2EhARIpVJERkaqLSsIAmpra3v9aWlpEa0vRERERERENHbcqyqGn4MrjCQjv0u9qD2QyWSQy+UDnnvjjTfg4+OjcaCvrh7g2xH8gV4A6Cs4OLh7vb+62QQVFRWws7Pr9efdd98VvS9EREREREQ0+qVWPoCfg9tIdwOAyEH+tm3bute4D2TFihXw8fHRaPu7WbNmARh4tF51zFDZ8FXJ/tQtB3B0dERNTU2vP2+//bZB+kJERERERESjV1N7K7JryzF9vOtIdwWAyEH+1q1b4ePjg+9+97uora0dsMyKFSvw3nvvQRCEQeuSyWQAgOzs7H7nFArFkNvniSE4OHjA4xKJBLa2tr3+mJubG7w/RERERERENLzOFWVgXsx7eCX+U9S1Nvc7f7u8AJ2CgEBHjxHoXX+iLxh477338N577w0YnKsEBwcjISFh0HqkUilCQ0MRGxvb67hCoYBSqRx0zby+4uPjER4ebrD6iYiIiIiIaPSra23G989/jQmWtrhaosAvrx3sV+ZGaS5szSwwReoyAj3szyBZAezs7Hol3+spJycH+/btU3u+p+joaCgUil7b5UVFRSE0NLRXEK5QKGBvb48dO3aorWugqfeJiYmQy+XduwKojsXExGDXrl1D9o+IiIiIiIgeXrszb6GhrQUfLHsOv537OPZl30ZCWV6vMjdKczFrgheMjUY+6R5ggCA/KSkJW7ZswapVq/DOO++grq6u13kfHx+cOnUKjo6OQ9Ylk8mQnZ2N6OhoREVFITIyEjKZTO26/75r9BMTExEVFQWlUgmFQoGdO3f2SqYnk8kgk8mwc+dOhISEICoqCrdu3UJcXJzB1vsTERERERHR2HAkNwXL3CfDbZwdInyD4efgiv+5eax7+XldazOulSiw2G3SCPf0WxJhqMXxWjh9+jRWrlwJQRAgk8lQVVWFmpoaxMbGYuPGjd3ldu3ahe985zvo6OgQq+lh5efnh9TU1JHuBhERERERERlIaWMtQnb/Dn9aGIGISSEAgIvFmXjm5Ef4YOmzWO8zE3uzb+NHF3bjesQv4G4tNWh/NI1DRR3JV017T0hIQFZWFqqqqnDz5k189dVX+MMf/iBmU0REREREREQGc7M0FwCwxH1y97FFbpMQ6jkV/3frOJQtjfjw3iUscJUbPMDXhqhBfmJiIrZt29ZrvX1wcDD27NkDOzs7fPjhh2I2R0RERERERGQQdyqK4GplhwlWNr2O/3rOetS2NmHOnvdwr6oYPw8KG6EeDsxEzMpkMhnkcvmA59544w2cPn2agT4RERERERGNesmVhQgYYFs8H1tHxKyJxBfpN7DcYwpmO3sPf+cGIepI/rZt29QmxQOAFStWwMfHBzExMWI2S0RERERERCSaTqETyRUDB/kA4Ofgiv+bvwErPKcOc8+GJmqQv3XrVvj4+OC73/0uamtrByyzYsUKvPfeexAx3x8RERERERGRaHJrK1HX1oKZju4j3RWtiTpdHwDee+891NTUQKFQIDAwcMAywcHBSEhIELtpIiIiIiIiIr3dqSgCAMxUM5I/mok6kq9iZ2enNsBX6Zmcj4iIiIiIiGi0uFNRAC8bB9ibW410V7RmkCB/INxCj4iIiIiIiMaC5MoizBw/9kbxgWEI8mtra7F37168++67hm6KiIiIiIiISC8dnZ1IqSxSm3RvtBNtTX5tbS1u3boFhUKBhISE7v+vVCrFaoKIiIiIiIjIoDJrytDU3jYmk+4BOgb5SUlJuHXrFhISEqBQKHDr1q1+wXzf7PkSiUTnThIRERERERENh+SKQkgggf/4RyDI9/X1RU5OTq9jfYN5qVSKmpoabN26FSEhIZDJZLC3t8fWrVv17y0RERERERGRAd2pKILczhE2ZhYj3RWdaBXknzp1CpGRkTh9+jQkEgmCgoIwa9as7mB+1qxZsLOzg4ODAz744INe127ZskXUjhMRERERERGJ7U5F4ZjcOk9FqyBfJpMhLi4OsbGx+MUvfoGwsLABE+oNNDX/rbfe0r2XRERERERERAbW2tGO+9UPsFEeONJd0ZlO2fXDw8ORlZUFQRAwfvx4fPTRR2L3i4iIiIiIiGhYZShL0dLRjpljdD0+oOcWeu+99x5u3ryJ3bt3Y/bs2bhz545Y/SIiIiIiIiLS29cZN7Fi/5/wQcqFIcsmlRfCWGKEGePdhqFnhqH3FnoymQynTp1CfHw8Nm/ejJCQEDH6RURERERERKSXlIoibLuyD9PsXfC/t47Bx3Y8VnlNV1v+dkU+ptm7wNLEbBh7KS69RvJ7Cg0NRVZWFkJCQiAIAt5///1e53Nzc8VqioiIiIiIiGhIH9y9AE9rBxx9/PtY4jYJ7yacQKfQqbZ8UnkhAp08h7GH4hMtyFfZtm0bcnJycP369V7r9aOjo8VuioiIiIiIiGhAda3NOJZ3Fy9NnQcTI2P8JDAUWTXluFCcNWD5+rYWZCjLEDiGM+sDBgjyAcDOzg579uzB7t278dZbb8HY2Bg7duwwRFNERERERERE/ZwvykBbZwfWfDM9P2TCREyzd8F/0q4NWP5ORSEECAhymjic3RSdQYJ8ldDQUFRVVWHTpk2GbIaIiIiIiIiol1MF9zHN3gWeNg4AurZ6f2HqPMQV3MeDhpp+5a+WKCA1t4KvndNwd1VUBg3yVWJiYrBixYrhaIqIiIiIiIgecYIg4FJxFpa6T+l1fKMsEObGJtideavfNZeLs/CYiwzGRsMSJhvMsPU+JiZmuJoiIiIiIiKiR1hBfTXKmuowx9mr13EbMwts8AnAVxk30dH5bQK++rYW3C4vwCI33+HuquiGLci3s7MbrqaIiIiIiIjoEXarLA8AEDLBq9+556fMRVGDEueKMrqPxRfcR7vQiaXuk4etj4YytuchEBEREREREfVxqywPcjsnOFiM63cuwNED0x1c8UX69e5jBxRJCHaa2L1+fyxjkE9EREREREQPlVtleZg1wCg+0JWA75Vpj+FUwX0klOUjQ1mK0wXp2DJp1jD30jBMRroDRERERERERGKpa21GWnUJXpn2mNoyEb4h+CztGr5z9gtYmZphoo0Dwn2Dh7GXhsORfCIiIiIiInpo3C4vQKcgYLaakXwAMDYywocrXsQk6QRIzSzx0YoXYG78cIyBPxyfgoiIiIiIiB46giCgQ+iEiZGxxtfcKsuD1NwK8iH2u3cbZ4cvV72mbxdHHY7kExERERER0ahTUFeFJfvex4wv/xun8lM1vi6hPB/BTp6QSCQG7N3oxSCfiIiIiIiIRp1fXD2Alo52BDtNxI8v7kFZY92Q13QKnUgqz0eI08Rh6OHoxCCfiIiIiIiIRpV7lcU4X5SBX81ei38sfQadgoAPUy8NeV12TQVqWpsRPIFBPhEREREREdGoEJOVAEcLa6z2mg57cys8N2Uuvki/jub2tkGvSyzPhwQSBDp6DlNPRx8G+URERERERDRqCIKAI7kp2CAL6E649+zk2ahpbUZ8Ydqg1yaU5WOydAJszCyGo6ujEoN8IiIiIiIiGjVyaitR0liLxW6Tuo/J7ZwQ4OiBfVmJg16bWJ7/SE/VBxjkExERERER0ShyrVQBI4kEc5y9ex3fLA/CmcJ0VDU3DHhddUsj0qtLMXuC1zD0cvRikE9ERERERESjxtUHCsxwcOs35f4JnwAIAI7kpqi9ToCAx1zlw9DL0YtBPhEREREREY0KgiDgWkkO5rvI+p1ztLTGEvdJ2Jd9e8BrLz/IhpfNeHhY2xu6m6Mag3wiIiIiIiIaFfLrq/CgsQbzXHwGPL9JHoRbZXnIq6vsd+7ygywseMRH8QEG+URERERERCSiOxWFeOfqAVwoytT62mslOZBAgjnOAwf5qyb6YZyJGQ5kJ/U6nl1TjqyacizzmKxLlx8qDPKJiIiIiIhIFPl1VXj6xC7szUrEC3Gf4EZprlbXX32gwHQHV9iZWw543tLEDKu9pmOfIgmCIHQfP5Z7F1YmZljqPkWf7j8UGOQTERERERGRKP6UFA9LEzNcf+oXmOnojt9cP9wrGB/KtVKF2qn6KpvlwciuKceVEgUAoFPoxJ6sBKyc6AdLE1O9+v8wYJBPREREREREeqtuacQBxR1EzlgEqbkVooJXIbmyCFe/CcaHUlBXhcJ6JeYNkHSvp0Vuvpg53h2/TzyFTqETx3LvIqe2Aq9Me0yMjzHmMcgnIiIiIiIivR3LvYsOoROb5EEAgAWucvjYOuKrjJsaXa9ajz93iJF8iUSCX85ei4SyfHzn7Jf45bWDCPWcipAJE/X+DA8DBvlERERERESkt8M5yVjgKoeTpQ2ArmD86UmzcCzvLurbWoa8/lqpAlPtnWFvbjVk2QWucuxYsAk3y3Ixzd4V7y8M17v/DwsG+URERERERKSXxrZWXC/NQZjntF7HH/eZiZaOdpwpSBuyjqsPcoacqt/TM5Nn4/bT/4WvV7+O8RbWWvf5YcUgn4iIiIiIiPRyoywXbZ0dWOQ2qdfxiTYOmDneHUfz7g56fWF9NfLrq/CYq+ZBPg2MQT4REREREdEjTBAE3CjNRXp1qc51XCzOgrOVLXztnPqdW+vtjzOFaWhsa1V7/ZUH2ZBAotVIPg2MQT4REREREdEj7He3TmDTsQ8QeuDPOKBI0qmOS8WZWOgqh0Qi6XdurdcMNLW34UxRutrrrzxQYLqDq0br8WlwDPKJiIiIiIgeUXcri/Cvu+fxs6BQPCGbiXeuHkB1S6NWdVQ1N+Be1QMscvMd8LzMzhEzHNxwSHFnwPOCIODyg2xO1RcJg3wiIiIiIqJH1D+Sz8PH1hE/mLkMv53zONo7O/Fx6mWt6rj8IBsA8JjrwEE+AGyQBeB0YRrqWpv7nUtXluJBYw0W9lnPT7phkE9ERERERPQIqmlpwqmCVDw/ZQ5MjIzhaGmNjbJAfJVxE+2dHRrXc7VEAR9bR7iNs1Nb5gmfALR0tONk/r1+507lp2KciRkWuMp1+hzUG4N8IiIiIiKiR9CxvLto7ejABllg97Hnp8xFSWMtLhRnaVzPtRIF5g+RMM/dWoo5zt44MMCU/RN597DMYwrMjU00bpPUY5BPRERERET0CIovuI85zl5wsbLtPjZjvBtkto44mpusUR0VTfXIUJYNGeQDwGZ5MC4UZyK3trL72P2qEiRXFmG9z0ztPwANiEE+ERERERHRGHKuKAOf3r+KhrYWneto7+zAlQfZWNxnHbxEIsF6b3+cyEtFmwZT9q+VKAAA81x8hiy7SR4Ee3Mr7Lx3sfvYZ2lX4WRpjVUT/bT8BKQOg3wiIiIiIqIx4suMG3j+1Mf45bWDeO7UxxoF4gO5U1GIuraWAZPdrffxR01rEy5pMGX/akkOvG3Gw3WQ9fgqliameGP6InyZfgMpFUVIqy7BVxk38ZrfQpgaGev0Oag/BvlERERERERjQFVzA/735jFsmTQLB9Z+Fwll+fgi/YZOdV0szoKtmQUCHN37nZtm7wofW0ccyU0Zsp5rJQrM12Lru63TF2Kagyu2nNyF8OM7Ibdzwmt+C7TqOw2OQT4REREREdEY8GXGTbR0tOOdWasxy9kLm+SB+HvyWa0y4atcLM7EfBcZTAYYQZdIJFjnPQMn8wefsl/RVI90ZSnmabAeX8XM2ARfrnoNT/mG4ElZAL5e/TosTUy17j+pxyCfiIiIiIholBMEAbszb2Gdtz/GW1gDAF73W4iSxlqcLkjTqq6GthYklOX3W4/f03pvfyhbGnH5QbbaMueKMgAAi1x9tWrf3twKv5n7OP533gY4WdpodS0NjUE+ERERERHRKJdUUYic2gpsmTSr+5i/ozsCHD2wO/OWVnVdK8lBu9CJRW7qg/PpDm7wshmPIznqs+yfLUzHzPHumGDFQH00YZBPRERERERkAHH5qXjz/Fc4kXdP77rOFqbD1swCc529ex3f4BOA88WZqGtt1riui8WZcB8nhY+to9oy3Vn21UzZ7+jsxLmiDCzzmKJxuzQ8GOQTERERERGJ7GJxJl49/R/cLM3FG2c+x5nCdL3qO1+UgYWuvv3W0K/1noGWjnbEazFl/2JxFha6+UIikQxaTjVl/8oAU/avl+agprUJyz2matwuDQ8G+URERERERCLq6OzEr68fxhxnb1wJ34ZFbr741bWDaO1o16k+ZUsjblcUYIn75H7nPKztEejoiaMaZMIHgNLGWqQrSwedqq8yY3zXlP392Un9zu1XJMHT2h7BTp4atUvDh0E+ERERERGRiM4XZyJDWYZ3Zq2BiZExfjV7HfLqqnBcx2n7lx5ko1MQsHSAIB8A1nnPwNmidDS0tQxZ18XiLADAQg2S5UkkEjw3ZQ4O5dxBeVNd9/HGtlYcy03BRlngkLMBaPgxyCciIiIiIhLRVxk3MM3epXuUe5qDC+a7yPBZ2lWd6jtflAFfOye4W0sHPL/O2x8tHe0aZdm/WJyJ6Q6ucLS01qjtZyfPhrGRET5OvdJ97OvMm6hva8Uzk2drVAcNLwb5RERERET0yCqqV+IXV/bjvYQTaGpv1bu+utZmxOXfx5ZJs3qNcj83ZQ6ul+aioK5Kq/oEQcD5oowBp+qrTLRxwMzx7jiad3fIui4VZ2HhIFvn9SU1t8Jrfguw895FZChLUdFUj7/cOYONskB42jhoXA8NH5OR7gAREREREdFIaGxrxZYTu1DX1oyGtlZkKsvw4fIX9JqCfrE4C+1CJ1ZO9Ot1PMxzGiyMTXE4NwXf81+icX1ZNeUobqgZdE97AFjr7Y+/3DmNxrZWWJmaDVgmQ1mG0qY6LNZgPX5PPwpYjlP5qdh8LBqWJqYwkkjwy9lrtKqDhs+oD/IVCgWioqLg4ND1lkgqlWL79u1a1bFz507ExcUhJibGYG0QEREREdHYEn3vAooblIh/8ie4X/0AkWe/wOnCNIR6TtO5zrNF6ZDbOWFin1HucabmWOE5FYdzkrUK8s8XZcDMyBjzXWSDllvrNQPvJZzA2aJ0rPP2H7DM6cI0WBibYk6fbfiGYmliht2r38CfkrpeIvwwYDmcLG20qoOGz6ierq9QKCCXy7FlyxZER0cjOjoaCoUCERERGl0fHx+PyMhIREZGQqFQGKQNIiIiIiIae5rb2/BR6hW8MHUeZHaOWOs1A3OdvfGP5HM61ykIAs4VZmCZmqn1j3v7I6WyCLm1lRrXea4oA3OcfdSOzqvI7Bzh5+CKY7nqp+yfyLuHJe6TYGkyeF0DcbK0we/mP4k/L34KMjtHra+n4TOqg/zIyEjIZDKEh4d3H9u+fTtiY2MRHx8/5PWhoaGIjo6GVCo1WBtERERERGRYlc31uFScheb2NtHqPJmfCmVLI16cOg9AVyb5N6Yvws2yPKRUFOlUZ7qyFA8aa7DMY8qA55d7TIWFsanG2901t7fhWkkOlrhrtoZ+vbc/4gruo2mA7+lBQw0Sy/OxxmuGRnXR2DVqg3ylUon4+HiEhob2Oi6TyUSbTj8cbRARERERke5Sq4qxZN8f8fTJD/H4kX+gtrVZlHr3ZCVgjrM35HZO3cdCPafC0cIa+xW3darzbGE6LIxNMdfZZ8DzVqZmWOE5FceGSJCncqM0F80dbVjqPvBLg77We/ujsb0VJ/P7b9V3JDcZpkbGCPWcqlFdNHaN2iBfNYoeEhLS75xMJhNllH042iAiIiIiIt20d3bgxxdj4Gpliy9WvoqiBiX+9+Yxveuta23GlQfZWN9n7bqJkTHW+/jjYE4yOjo7ta73bGE6HnOVwcLEVG2ZdV4zcKeiEPkaZNk/V5QOFytbTLV31qh9mZ0TFrjK8UmP7e6ArmUEX6TfwBqv6ZCaW2lUF41dozbIV7eGHkB3gjylUjnq2yAiIiIiIt0cz7uH1KoH2LFgM5a4T8ZPA0PxdeZN5NRW6FXv+eJMtHV2IGyABHsbZYEobazFtdIcreqsb2vBzbI8LBti1H2F51SYG5sMunZe5VxRBpa6T9Yq2/9rfguQUJ6Pm6W5verJqinHc5PnaFwPjV2jNsivrOxKRqEKtntSrbGvqtJuj0mx2hAEAbW1tb3+tLS06NUXIiIiIqKxSBAEnC5IQ1x+KjoF7Ue/B/PJ/SuY5+KDICdPAMBzU+bCzswSn6Vd06veuPxUTLV3GXCf92CnifCwluJITrJWdV4uzkJbZ4fa9fgq40zNscx9Co4MsS6/qF6JDGUZlg5RX18rPKbCf7w7/t/1w2jr7EBLRzt+d+s4Zk/wwmOucq3qorFp1Ab5crn6H0DV6PpAwflwtFFRUQE7O7tef9599129+kJERERENBa9ffUAXor/N145/Rl+dikWgiCIUm9ubSVulObipanzu49ZmpjimcmzsTvzls5J+Do6O3GmMH3AUXygKwHfOu+ZOJZ3F+2dHRrXe7YoA9424+FtO37Isuu8/ZFUUYDC+mq1ZU4XpsFYYoSFWgbmxkZG+N38J5FeXYKX4/6NV+M/RXZNOf577hNazQigsWvUBvmzZs0CMPBIuurYYFnzDdmGo6Mjampqev15++239eoLEREREdFYc7ogDZ+nX8d78zfiz4siEJOVqHHm+KHEF9yHmZExlvcZyQ73DUZtazPOF2XoVG9CeT6qWxoRqibIB7q2uqtsbsC1Es2m7AuCgLOF6UOO4quEajBl/0hOMha6ynVaQx/k5Ildy19Afn018uqqsGv5C/B3dNe6HhqbTEa6A+rIZDIAQHZ2dr9zCoWiX0b84WxDIpHA1tZW7/aJiIiIiMYqQRDwh9txmOPsjeemzIFEIsFBRTLevx2PNV4zYGyk33hifEEa5rvKMc7UvNfxyVJnTLN3waGcZKzymq51vecK0+FgPg6Bjh5qywQ4esDT2h6Hc5Kx0M13yDozlGUoalD2eyGhjo2ZBZa4TcLR3BRsnbGo3/myxjpcK83B9sc2aVTfQFZ4TsUKZtJ/JI3akXypVIrQ0FDExsb2Oq5QKKBUKhEZGTkm2iAiIiIiGilHcpKxMPb3iDi+EwUaZHPXRlp1KVIqi/Cm/9LuaeA/DlyOzJoyXCjO1Kvu2tZmXCtRqJ1Sv0EWgFMFqWhsa9W67nNFGVjsPmnQlxASiQTrtZiyr9o6b56LTON+rPeZiYTyfChq+icRPJRzB0aQYPVEP43rI1IZtUE+AERHR0OhUPTayi4qKgqhoaEIDw/vPqZQKGBvb48dO3aorUtdlnxN2yAiIiIiGktulebhzfNfQ2bniML6arwc/6nO69gHcjL/HqxNzXuNdAc7TcRUexd8lXFTr7ovFGWgXehUu6f74z4z0dTehjOFaVrVW9FUj+TKIix1nzRk2cd9/FHd0ogrD9TvyKVypjANC1zlsBxk67y+1nrNwHiLcfgo9XKv451CJz5Nu4Z13v6wtxincX1EKqM6yJfJZMjOzkZ0dDSioqIQGRkJmUyGuLi4Acv3XT+fmJiIqKgoKJVKKBQK7Ny5s9+2edq2QUREREQ02gmCgN/ePILpDq74eMWL+HjFS8iuKdc7K31PJ/NTsdxjCsyNv10BLJFI8Mzk2TiVn4rq5gad644ruI+p9i7wsLYf8LyXzXj4j3fHYS3X/5//ZobBYrfJQ5b1H+8OLxsHHM4dPMt+XWszbpTmajxVX8XCxBQvTZ2PPVm3UNpY2338RF4qcmor8PK0+YNcTaTeqF2TryKTyRATEzNkmerq/pkpg4ODERwcjO3bt+vdBhERERGRWBLK8vHXO2fgbGWLX85aAztzS1Hrv/IgG7fLC/DVqtdgYmSMaQ4u2OwbjA/uXsBL0+b3Csx1UVSvREplEb4zY3G/c0/4zMRvrh/ByfxUPD15ttZ1q7LfPz9l7qDl1nn7489Jp9HY1gorUzON6j5XmI4ZDm6YYGUzZFnVlP0vM27gd/OfhKmR8YDlThemoV3o1Gn9+6t+j+HTtKv41bVDiF72HOrbWvB/t45hqftkzHb21ro+ImCUj+QTERERET1sMpSlePbkhyisr8bR3GS8cvpTdHSKu7/8lxk34WvnhIWu306l/86MxShrqsOp/FS96z+Zfw+mRsYDZpN3srTBHGdvHB0kc/xgEjXIfg8A67390dyh+ZT9TqETF4ozsdRj6FF8lW+n7PdP1K1yOCcZQU6eamcdDEZqboX/m7cBx/Lu4vUz/8HTJz9EVXMD/nvuE1rXRaTCIJ+IiIiIaJgIgoBfXz+MCVa2OLz+Tfw79GXcLM3Dlxk3RGujuqURx/Pu4pnJs3vtiz5JOgGzJnjhaz3XywNdU/Ufc5XD1sxiwPPrvGfg0oMsKFsata47ruA+xlsMnv0eALxtx2OGgxuOaDhl/25lMSqbG7DEXfMgf7qDG7xtxuNwzsBT9mtbm3G2MB1P+MzUuM6+1vvMxF8Xb0FWTTkkkOCLVa9BZueoc31EDPKJiIiIiACkVhVjw5F/YuXBv+BScZZB2kgoy8fF4iy8M2s1rEzNMNvZG0/IZuJvyWfR2tEuShtx+alo6+zERllQv3NbJs3CheKsXmvAtVXd0ohrJTmDZn5f4zUDbZ0diC+4r3X9pwvSsMJjqkZb8K338cfpwjQ0tQ+dZT+u4D5sTM0R4jRR475IJBI87jMTx/PuDXh/DiiS0C50Yr237kE+AGySB+H8pp/hyONvIliL/hENhEE+ERERET3yypvq8Nypj9HQ3gobUwu8FP9vpFeXit7O5+nX4WXjgFU9AuQfzFyG4oYaxOkQEA/kVP59BDl5DrjufLXXdBhLJDiRd0/n+k8XpKFD6ETYIEG+6zg7zJrgpfWU/fy6KqQrS4ecqq+yztsfTe1tOF2YPmTZE3n3sMJzGsy0zEewSR6EmtYmxGYn9jouCAL+ff8KVk30g+s4O63qJDIkBvlERERENGo1trXiWokCNS1NBm3nj7fj0drRjq9XvY7PV74KD2t7/Pr6YVHbULY04nBuMp6ZPAdGkm8fw6fauyDEaSK+FGEafVN7G84XZ2ClmgDc3twKC9x8cVTLrPQ9ncy/hyAnT7hY2Q5abp33DJwvykBda7PGdccV3IeZkTEWa7DFHQD42Dp2TdlXM51eJae2AverS7DGa7rGfVGZJJ2AtV4z8I/kc71G84/l3UWGsgyv+S3Quk4iQ2KQT0RERESjUkFdFVYc+BPCj+/Ekn3vI7XqgUHaKWmsxZcZN/GDmcvhaGkNSxNT/CJkFS49yML1khzR2okvuI+WjnaE+wb3O/f05Nm4UJSJBw01erVx+UEWmtrbes0U6Gud9wxcK81BRVO91vU3tbfhfFEmVk0cOlhe6+WP1s4OrWYoxOXfx3wXGaxNzTW+RpMp+8fz7sHc2ATL3LXb5k7lp0GhKKpX4o9J8QC6Xtj8z82jWO4xBfNcZDrVSWQoDPKJiIiIaNTpFDrx5vmvAQAxa7bC2coGW898jhaR1q339HXGTZgZG+PZKXO6j62eOB1yOyfR95UPdpo44Aj4Wq8ZMDEywrE83TLS92zDx9YRvnZOasusnjgdEug2Zf/ygyw0trcOuh5fxd1aiiAnT41nDdS0NOFaiULtLAR1hpqyLwgC9mYlItRzmsZb7fU11d4FPw9eib8nn8OPL+xB+PGdqGttwf/N26BTfUSGxCCfiIiIiDRS09KEH13YjVUH/yJqNviBHM+7h8TyfPxxUQTmu8jw9yXPoKC+Gv++f0XUdjo6O/Flxg08KQvslSleIpHguclzcCzvLiqbtR/x7qupvQ3nitRPo7czt8QiN18c02MafafQifiC+1g50a9XVv2+HCzGYb6LDEfztG/rRN49yO2c4CudoFH5dV7+OFeUgfq2liHLnilMR/sQa/0H4mPrCP/x7tiTeWvA87crCpCuLMXTk2ZpVW9fb/ovwW/mrMetsjzYmVkiZs1WeNo46FUnkSEwyCciIiKiIXV0duLV058hviANbuOk2HZ5H2KzEoe+UEf/TDmPRW6+mP/NVOhJ0gkI9w3Gh/cuo62zQ7R2EsrzUdxQgy2+/QPACN9gCIKAwzm6B94qmkyjX+/tjxuleTpnvr9dXojypvpB2+jZ1pUHClQ1N2hcf0dnJ+IK7mtUv8o67xlo6WjH6YKh97KPK0jFzPHucNMhid2r0x7DmcJ0ZCj7J0v87P41uI2zw2I3zdb5qyORSPD69IW4FP4W9q6NhJ+Dq171ERkKg3wiIiKiMahT6MTuzFv41bVDSCovMHh7X2XexPXSHHy44gV8vOJFbJIH4dfXD6Fah33Qh5JfV4U7FYV4bvKcXsdf81uAB401OK5lxvbBHM+7C2dLGwRP8Ox3zt5iHBa5TcLhnDt6t3Mi7x5kQ0yjXznRr2vKvo6fL77gPuzNrTTaIm6113QIEHBciyn7CeX5qGxu0Gg9voqnjQMCHD2GnLLf2NaK0wVpWr1A6GmDLADOVrb4652zvY7n1VVivyIJW6cv0mhLPqKHAX/SiYiIiMag/7l5DD+7FItjuSnYeOwDXHmQbbC22js78M/k83jCZybmu8ggkUjw/2avQ0tHBz5JFXf6PAAczU2BhbEplnn0TpLm5+CK2RO8ECPSDAJBEHA87y5WeU3vle2+pyd8ZuJGaZ5eCfE6OjsRX5A25DR6qbkVFrr64oiOU/bjCu5juccUjYJZR0trzHP20SrL/vG8u5hgaYMgJw+t+rXOuysxnnKQF0In8u+hob0VT8oDtapbxczYBG8FheGAIgmXirMAdN3fX107BEdLazw3Zc4QNRA9PBjkExEREelJUVOOPyXF41R+KgRBMHh710oU2HXvEn4zZz2uPfULzHH2xo8u7Bk0u7g+TuTdQ359Fd70X9p9zNHSGs9Mno2P719Bc3ubqO0dzb2LZR6TMW6ADOub5EG4UJyJ8qY6vdu5W1mMwnrloNuqrZzoB1MjI722nEssz0dFcz1WazAC/riPP26U5mo9Zb+wvhpp1SUI03B/eQBY7zMTlx9kazRlXxAEHMu9izWDvBBRJ1wejI7OzkGXd+zNvo05zt7wshmvVd09PTUpBAtc5Yg8+wX2Zd/Gtiv7cKYwHdsf2whLE90S7hGNRQzyiYiIiPSQVF6A1Yf+hn+mnMerpz/DH27HGbQ9QRDwf7eOI8DRA6/6PQZTI2O899hGVDTX42MDjKoDwKGcZAQ4emD6eLdex1+eNh/Klkacyk8Vra3C+mokVRRgnbf/gOfXe/vDSCLBoSH2RdfE8by7sDOzHHQLNDtzSyxxn6xXeyfzU+FoYY0gp/5LAvrSdcp+XP59mEiMsMR9ssbXrPlmyv6J/KGn7N+pKERRgxJrvWZo1S8AmGBlg7XeM/Cf9OsDvgRT1FTgQlEmInxDtK67JyOJEXYuex4Bjh744YXd2J+dhB0LNiFUixcfRA8DBvlERET0UBAEAbFZCfjvG0eQUlE0LG22dLTjhxd2Y4q9M+48/StEBa/CX+6cwbUShcHavF1RgNvlBfhpYGj3iKqPrSPCfYPxyf0roialA7rWSp8pTB8w6JbbOWH2BC/sVpPVXBfH8+7C3NgEKzymDnje3mIclrlPxv7sJBHauoeVE6fB1Mh40HLrfWYisTwfxfVKrdsQBAEn81MR6jlVo2n0uk7Zjy9MwzwXGWx67BAwFCdLG8x19sFRDRILHs29CwfzcZjr4qNVv1Remjof2TXlA75Q2HXvIsZbjMNGWaBOdfdkZ26JL1a+ihsRv8CdZ/4Lz07mNH169DDIJyIioofC/7t+GD++GIN92UnYcPSf3etyDenz9OvIq6vCHxaEw8rUDG/OXIIARw/8783jBpu2/+n9q5ho7YClfUZsX5n2GEoaa3Xa+3wwZ4rS0dzRpnYE96lJs3ChOAslOmaE7+to7l0scZs0aLC6QRaIpIoC5NdV6dyOoqYcmTVlGiWRW+k5DebGJjptOZdVU46c2gqsHmRJQF/aTtmvb2vB1QfZCPUc+MXIYJ7wmYlLD7IHzTnQ0dmJA4okrPWeAZMhXoioM9fFB4vdJmF7wsleL6Kya8rxdeYtvOa3ABYmpjrV3ZdEIoGbtXTA5R5EjwIG+URERCSaxrZW/PbGETxz8kMcUCQNW7tnCtPxyf0r+N95G3DjqV9gjrMPfnRhN+pamw3WZkdnJz66dxlP+MzEFHtnAF3ThbcFr0RSRQGuleaI3mZ9WwuO5KbguSlz+o0Kq5LSiTmqDgDHclMww8EN3rYDr5Ve4zUdJkZGomS8f9BQg1tleVirZqq+SpjnNFiamOo1hf5U/n2YG5totK2ajZkFlrpP1mkrvZP5qbA0McUCV1+Nr9F2yv6p/FS0dnbolJn+SVkgzI1N8GXGDbVlLhRn4kFjjd77zP9y1hrk1lbid7e6XoK1dLTjZ5di4WJli9enL9SrbiL6FoN8IiKih1Bze9uwJIDrqaOzE6+c/hRfpN9AW2cHvn/+a3yVcdPg7QqCgPcSTmC+iwwvTZ0HM2MT/HFhOJStTfgo9bLB2o0vuI/8+qp+wclit0nwtXPCv+9fFb3NuPz7aOloxwZZwIDnN8mDcLE4CxVN9aK019TehviCNLXr4wH9M8L3dDzvLkyNjIdMHmdlaoaVnn44qMeLpLiCVCxy84WVqWYJ2dZ7d03ZL6yv1qqdk/n3sMRtMiy1GKXW9js9lHMHIU4T4WnjoFXfgK4XGBtlgfgy46bapR5fpN/ANHsXBDhql1W/r+nj3fCrOeuw694lPB/3CdYf/jtSKovw9yXPaPX9ENHgGOQTERE9RBrbWrH1zOfw/c+vsOLAn5BeXTpsbf877SquPFDgk9CXELN6K56ZPBu/vn5Yp3XM2jhTmI7Uqgf4SeCK7u3J3KyleH7KXOy6d9FgGef3Zt/GzPHu/QIfiUSCl6bOx4m8e6JkgO/pSG4ygpw84WFtP+D59d7+kKAr6BPD+aIMNLa3Yq334MnW1nnP0CkjfF9Hc+9ikZsv7Mwthyz7hM9M3K8uQYZS+5/xquYG3CzLw0otRr7DJn4zZV+LlxmljbW4XV6A1V7aj7CrpuwPtXVfdUsjzhdlqn3xo4mXps1HaWMt9g6Q/T5DWYqT+al4edpjg27/p6nX/BbgH0ueQVN7K1ys7LB3TSRCJkzUu14i+haDfCIiIpFdL8nBv+9fRZGBg9uB/PxyLM4VZeD/zV4HCSR47tRHqB5kb2qxNLW34m93znZvYSWRSPDrOethYWyKvyafNWjbX2bcwMzx7pjfJ0P6q36Poba1RZQs7H2pktGt95k54PknZQGQADgsYtv1bS04V5SB9YOMqttbjMMyjynYL9JSiaO5KZgidYbczmnQcqu8psNYIsFxPfIBlDXW4UZp7qCzBnpa6jEFtmYWOt3f0wVpEAQg1EPzrOvWpuZaT9mPy78PY4mR2iSCg1njNQOWJqb4OnPw2TBHcpLRIXRq/L0NxM/BFY97z8T7t+P7vRT7feIpuI6zRYRvsM7197VBFoB9a7+D/6x8BYEa7DhARNphkE9ERCSiv945g83Ho/Ff1w5ixYE/IbE8f9jaPleUgUM5ydixYBO2zliEz1e+ioa2FuxIOGnwtndnJqC6pRE/DFjWfcza1Bzf8V+MrzNuoqxR3BFtlbrWZpwrysCTssB+o4xeNuOxxH0S/pN2XfR2zxSmobmjDevUjHCLHWwD307VHyqYe1IWiNvl+iWlA7p2DogruK9R8GhvboUFbr44kqv7S43jeXdhLJFoPLpubmyC1ROn45DijtZLU04VpCLIyRMTrGy0uu5xn5lIqihAgYbf7YGcJDzmKoO9xTit2gG+nUb/+TfLXwYiCAI+S7uGMM9pcLay1bqNnt4KXonqlkb8+vqR7u/zkOIOjufdwzuz1sDM2ESv+olo+DDIJyKih0ZZYx1eif8UgV/9L3559SBaOtqHtf3LxVnYkXgKPw5cgdTnfoMpUmdEnvkCDW0tBm9bEATsSDiJuc7e2ODTNW3XdZwdfhSwAl9l3DT4rIL92bex3GMKvGx6J2d7dvJsGBsZiZ4MTuVUQVfgq250+9nJc5BUUYAsZZmo7R7JTYH/ePd+n7cnVbCdU1shUpuDT9VX+TYpnX5T9i8WZ6K+rUXjEeLHvf1xvUT3KftHc1OwwFUOe3Mrja95QhYARW0F7lUVa3xNU3sbzhdlYuVE7fdOD1Vl2dcgIV5RvRLXSnKwSRakdTsqL06dh9LGWpxUM0PiRmku7leX4MWp83RuQ0Vm54j/mfcEvsy4ge9f+Bo7Ek7ixxf3YIMsoPt3ChGNDQzyiYhIFGWNddh59yL2Zd9Gu8j7dGuiqb0Nz536CMkVhdgoD8TXmTfx80uxw9Z+R2cnfn3jCGZN8MLPAkNha2aBvy15GtUtjfhH8jmDt59Qlo/kyiK8OXNZrxHtF6bOxThTc+y6d9FgbRfUVSGhPB+PDzB1XWpuhQ0+Afgi4zo6OjtFb/tITjJmTfCCm7V0wPPLPabAxtQcB0Raow50LU04XZimdhRfZeXEabAyMcNBhf5tN7a14lxRhtpt7Hr6Nimdfu0ezU2Br50TJksnaFR+9TdZ9nVJwFfRVI9rpTlDZtXva4GrHA7m43BAi896uuA+GttbdZrebm1qjlDPadiTdWvI2QMHFEmwMDbVauu8vqaPd8MiN1/8MSl+wL8/f0o6jSlSZyxy0zxz/2CemTwbf1oYgeslOfgw9TJemDoPf1wYIcpafCIaPgzyiYjGOEEQ8KChBq3DPGrdU5ayDCsP/gXvJZzADy/sxutn/jPsgf7fk89CUVuBz1e+hl/PWY/fL9iM/YoknMpPHZb24wruI626BL+ava77gXiijQNemjoP/067iloDbuUGAJ/cvwIfW0csde+9Hdg4U3M8P2UuYrIS0NTeZpC2D+emwNzYRO0062cnz0FhvRLXRd5Srqalacg16hYmXUGWLlO61TlTmI6m9jas9Ro8SLQ0McPKiX44lKN/22eL0tHS0Y41GgT5gH5J6QCgtaMdp/JTsc7bX+MAT2puhaXuk3FIh5cLJ74ZqdY2QZ2pkTHW+/jjcE4yOgXNXiIdUNxBgKMHfGwdte4nALw4ZS4ylGW4WqJQW6ZT6MRXGTexyssPNmYWOrWjEhW8ChnKMnzRZ4u70wVpuPQgC28Fr4SRRLxH+ohJIbi15R2kP/9b/Hbu4zDnNH2iMYdBPhHRGFbeVIfNx6Mxe8+7mBezHdcGeeg0lLbODrx5/ivYm1vhxlNv47OwV3C2MGNYRq9VKpvrseveJbzutxDTHFwAdG0lttDVF9sTThpkBLmvT+5fQYjTxH5Zot+YsQjN7W342oBbydW0NOF43l08P2XOgA/7WybNQk1rM07m654UbTCHc5IR6jkN1qbmA54PmTARntb2ooxo93QqPxXtnUMnHNsgC4SitgJ3KzWf0j2YY7l34efgCpnd0EHik7IAZCjLkKbnLgcn8u5hqr2L2r3q+1IlpdP1O79SokBNa/OQsxX6etxnJhLK8zVes65yKOcOFrjKMd7CWqvrgK4XGkUNSiSWFQxZtra1GWeL0vWafv6YqxyT7CYMukXimcJ05NZV4tVpj+ncjkqgkyeemzwH/33jKO5UFALomj3z1uW9WOI+Gau02CFAGxy9Jxq7GOQTEengkOIO1h3+O54/9TFSqx6MSB/aOzsQefYL5NZW4q+Lt8DXzgkvx3+qd7ItbX2RfgP3q0vw58VPwdHSGss9piByxiL8LfmcwbdOU/ks7RokAL4zY1Gv428FhyFdWYozhWkGbT9DWYrLD7Lxqt+CfudcrGyxxmsGvsq4abB960/m30NbZyeeUBO4yOwcMdfZG19niL8uXlFTjpTKogGn6qtIJBI84ROAo3l3RZ1xcignGXOcveA6zm7Qcgtd5RhvMU6UKftN7W1dyeg0HFFf7DYJdmaWOJiTpHObrR3tOF2YptW0b3NjE6zxmo6DOs5gOJyTDG+b8Zhm76rVdSsn+sHc2ASHtdxm7mpJjtqf36HMcfaGs5UtDmpwfw/nJKO1o0PtrgiakEgkeM1vAU7k3xtwi0pBEPCvlAsIcPRAsJM4W8P9es56TLV3QfjxaHz37JdYe/jvsDQxw584lZ6IBsAgn4jGBEEQcEhxB29f2Y8juSkGC5Y0sS/7Nr73zcj1g4YaRByPRnZN+bD348uMm7hZmofoZc9hkzwIH614EfbmVnjn6oFh60NbZwc+uHseT/gE9Nor/IcBy2FubIJdqZcM3gdBELA/OwlrvWf0y2AdMsELgY6e+HfaNYP2YX92EuzMLLFGTRD29ORZyKwpQ0KZYTLtH8xJxlwX70GD3QjfEFx+kI0SPfcx7+tQTjLGmZhhhceUQcttkAVA2dKIi8VZorRb3dKIi8WZeFyDwNDEyBjrvP1xOOeOxlO61VHtG69pkGhmbIK13jNwSJGs8++tqyUK1LY2Y81E7dZ2P+ETgNy6SqRUFml1XWtHO07k3cPjPjO1DiBVa9a12TrwaG4KjCUSndeuG0mM8ITPzG8CePUvkboy0V/FCs8pcBvixdBQnpoUAk9re7ybcLzfufiC+7hemoOfBoaKFoBbmZph9+rX8ZrfAjxorMETPjNxcN13td4dgIgeDQzyiUit9OpSfHr/KlK1yFpsKP976zi+d/4rXCjOwnfOfoHfJ54akX6UNtbinasHsFkehP+EvYL9674LBwtr/OxSrN7Bgzaa2lvxp6R4bJIHYrazN4Cu7ZZ+OWsNzhVlDNu0/SM5KSisV+J7/kt6Hbc2NcdLU+fhy/QbUBp4j/aUyiIoaivwpCxwwPMvTZ2H80UZomU470sQBBzKuYO13jPUbjG1wFUOT2v7Ife71kVlcz0uFWcNOf24OymayHvGH85JxsqJfrA0MRu03DR7F0yWTsABkbaUO5F3D50QNEpEBwAbfAJQ3FCDW3q+aDmi4b7xPT3pE4D8+ircrhh6OvlATuTdg6e1PfwctBtVX/DNDIaDWt7zSw+yUdPaNOjsjME84TMTKZVFSKsu0aj8AcUdLHafpFVW/b6emTwbFc312Jd9W22ZhLJ83Kt6gBenzte5HRUzYxO8M2sN4gvSEJuV0H28uqUR71w9iEVuvlg+xIsvbY0zNccvQlbjwLrv4v/mPwlHS+2XNhDRo4FBPtEo0Sl04lqJAjdLc0d0lFolJjMBKw/+Bb+8dhCrDv4Nnxl4JHQw8QX3EX33An4zZz0uh7+Fd2atwV+Tz+J8Ucaw9+UPt+NgamSM38x9HBKJBLZmFtixYBNuleXhuJotjgzheN49lDfV48eBK3odX+s9A9PsXRB913CZ1HuKyUrAXGefAYOPl6c9hpaOduzPTjJoH/YrkuBkaY0FrvIBz6/3mQkbU/NBH/71kVxZhLy6KjwxSEBkJDHCRlkgjos8XR3oWh8OdN37waiSomkzwjqUtOoSpCtLB/3sKhKJBBt8AnAyPxVN7a16t30kJxnznH00Hsmc7ewFVys7vfICNLe3Ib7gPtb7aJeVfZ6LDM6WNjq13Sl04lR+KlZ7Tdd6VNjEyBjrvf1xSKHdDIbDOXfga+eEafYu2nYXQNcWfk6W1vhP2vUhy6ZWPUBieT6enjRbp7ZUJkudsWqiH/6Zcl5tDo6/Jp+BbIDklLpa5+2Pp3xDsO3yPnx6/ypulObiuZMfoamjDe8vCOc0eiIaMQzy6ZHUKXQipaIIeXWVI90VAF2jss+e/Bjhx3di47EP8HL8p2g2UBZsTdyrLMZbl/ci3DcImS/8N16aNg//de2gwaYaD6a1ox2/uX4Ei90m4bVv1jt/d8ZiPOYiw6+vHx6WhGoqZY112JuViO/6L+k14jTfRYZFbr74U9LpYXtBsy/7NuY4e/fLDm0kMcKrfgsQX5Bm8J/v8qY6XHqQhY3ywAHPT7CywQrPqdjTY5RLbB2dnTikuIPHvWfCxMh4wDKWJqZY6z0D+7KTDHJ/DinuwNHCGvNdZIOWe0IWgJrWZlwozhS1/YM5d7DQzVejhGWqpGhFIuVKOKS4AzszCyx2n6xR+SdkAWhsb0V8gX45EqqaG3DpQbZWI82qKd1Hc1N03vnhfFEG6ttasN5buxFuYyMjrPeZiSM5yVr/zrpWkoPSpjqsGyKTvzpP+ATgQaPmMxia2ltxMj8V63WYqq9iZmyCZyfPwd7sRNS3tQxa9ov065hgaYMwHfas7+sHM5dBUVuBL/tkoQeA6yU5OFOYjp8FhYmaiX77gk3YJA/CL68dxKZjH6CmtQl7Vr+udktHIqLhwCCfDK60sRb3q0pGxeg00JWFOuL4Lqw5/DcsiP09/ufG0RHv27bL+5BYno9PQ1/Gh8tfwKUHWfj19cMj0hdBEPDLawchs3PEe49tgqWJGX4zZz1mjvfAL67sG9Yp6QBwUHEHuXWVvbYlk0gkeGfWGmTVlGO/SFN/NfFp2lWYGBnjuclz+p37/sxlSKsuwTWRtwgbSHlTHS4UZ2KTLGjA80/KAmBrZqHRKJo+DuckwwiSQROQPeUbgpTKIoMt+bhWokBpUx2eVPOiQWWjLAh5dZU6T5dWp1PoxOHcZKzznqH2JYPKVHsXTJE6i5phvrSxFtdLcjUaSQd6JEUTYTS/a5lCMlZ7zdB4iy0fW0cEOHroPWX/WN5dCBCGnL3Q1wZZACqa63HlgW7LWQ7npmCqvQsmabhvfE9P+ASgtKlO698R+xVJmGjt0G/XBk19O4MhSaPyR3NTUNvajHB5sE7tqTw3ZS6a2tuwO1N9ssfq5gbEZiXimcmzYTrE3x9NBDp5YsukELyXcAKF9dXdxxvbWvHW5b0IdPTE41rOwhiKqZEx/rAwHFfDt+Hw+jdxduNP4efgJmobRETaYpD/kBAEAenVpVDUGGbNqS4EQcCfk05j9p53EXbwz9h07ANUNtePeJ++d/4rpFWX4N+hL+G/Zq1F9L2L2HXP8MnB1LlYnIn9iiT8bv4GrPCcitVe0/HrOevxRcYN3CjNHfb+nC/OxK2yPPxmzuPdD10mRsb49Zx1uF9d0j01eDgIgoAPUy9hmfuU7m3RVAKdPLHMfQo+vHdpWF7StHd24Iv0G3hqUgjszC37nX/MRQa5nRM+N3BgDXS9+DCWGGGdmodVSxMzbJQHYr8iyaAzHQ4q7mCpx+R+ye56Wu45FY4W1tidaZjR/P2KJHjZOCDI0XPQcvNdZHC2shV9yn5iWQGKG2o0zgr+hM9MnMpPFW2/+uN592Askajdn74va1NzLPeYgsO5+gf5KZVFyK2r1PgFg8qTsgCcLUxHTUuTzm0fzknWabs1//Hu8LYZr1Om+6b2NsTlp+LxIbbrUyfYyRMTrR20esnT3N6Go7kp2CgP1HlU3UhihCdlgTigSELDEKPqQFdCz4Wuvhpv1aeO2zg7bJIH4u/JZ9HYNvDyjF33LqETAl7103+bOZX/mrUWdmZWeP7Ux8hUlqG8qQ6vnfkMJY21+NOiCFFH8XvytHFAkJOn2rwcRETDiUG+DpraW9Gm41Q/Q2hqb8Urpz/FigN/wuJ9f8BPL8boPBVRTF9l3sQfbsfhBzOX4ZMVLyKnthKRZ78Y0b4dzLmD80UZ+NuSpxHqOQ3f8V+MN6YvxPbEk73e+g8XQRDwXsJJzJ7ghc09Rk2enzIHfg6uI5Jcbufdi5g53h2L3Hx7HZ/t7I3FbpPwz5Tzw9aX66U5uFf1AG9MXzjg+ZenzcfdqmLRR2cHcqE4CxXN9Xh60qwBz0skErwwZS6O5d1FRZNhX2btVyRhuceUQZNUbZIHobSxFpcfZBukD/l1VUgoz8cGn8BBy5kaGeNJWQAOKu6I/ne/ub0Nx/Lu4knZ0AGQsZERnvQJwOGcZFF/fx/MuQMXK1vMdvbSqPzjPgFoaG8VbUu/I7nJWOjmq1XCsid8AnCnohC5tfot5ziYkwwH83FqcyGo87hPANo6O3EiX7ccFqWNtbjyQKHTdmsSiQQbZAE4nncPLVrmRjhflIEGLbLqD9T2E7Ku5QKa5mU4U5iO2tZmbFSTVFJTL0+bj/q21kFH1YGu9fE3SnPx7GT91ser/CQwFMqWJkTfu9DvXFG9Eh+mXsZLU+dr/bJmMPYW4/Cfla+gQxCwbP8fEfT1/yGlshifhL6k0wwMIqKxiEG+DgrrlVh76G+ib0Okq59disWVBwr8c8kzeO+xjdibfRu/u9V/S5fhVN5Uh99eP4JnJs/GW8ErETbRDx8sexbXSnLwVYb42aU10dbZgXdvncDqidN7Zbz9eVAYbM0s8P7tuGHv07XSHNypKMQPApb3ClKMJEb4WWAorn6TiG+4pFWX4EJxJrbOWDRg0PSa3wIkVxYhqdzwQTXQldTN22Z8vxcOKss8JmOitQM+u2/4pID7sm9jsnQCpg8yDXOzvGv6/CER9uJWJ0tZhjsVhdgkH3iqvkqQoyd8bB0NlmzuUM4dWJqYYqUG62g3y4NR0VyP80XirkU/W9QVAKnLqt/XRnkgKpsbRNvCraOzE0dzU7De21/j0UGZnSP8x7uLMmW/vKkO10tysU7LkeUVHlNhZWKm189pp9CJIzmaLVPoy8XKFvNcfHT+Dg7nJMPEyEjtdoVD2SALQG1rM84Vpmt13d7sREx3cNUqq35fG2VBqGlt0jhJ5+fp1xHk5AlfPYNTd2sp1vv446PUy4O+bPt78ll4WttjjZbLINSZaOOA78xYjL8kncGdisLu4+2dHfj55VjYmlngRwHLRWmrJ7mdE05t+CE+WPYc/rzoKVzc9DOtX0YREY1lDPJ14GltD2VLE147/dmIj+ifyLuHQznJ2LFgE56QBeD5KXPxzqzV2HXvMhLLhz9Jmsqfk07DxMgI78xa031snosMEb7B+H1inNqpe4Z0JCcFRQ1K/CworNfxcabm+P7MZdiXnSRaMipN7bp7EVOkzlg2QNKqsInT4G0zHp8OY1b7mKxEOJiPUxs0LHWfDE9re3yadtXgfWlub8Ox3LuDTlM1khjh6cmzcCzvrkF/purbWnAi7x42yYMHHTG2txiHpe6TDZonYL8iCbZmFljhMXXQchKJBJvlQQb7bvZnJ2HlRD+MMzUfsuyM8W6YInXG3uxEUftwQHEHMxzcNB6dm+7ghkl2E7BfpBcf10tzUNZUhydk2o0ob/AJwOnCNNS2NuvV/vG8ezCSSLBaw6n6KlamZljtNR17s2/rvNTlVlk+ihqUGr9g6WuDLACXHmShvKlO62sP5tzBMvfJkOq43dpkqTP8HFwRk6X5z2NFUz3i8u/jKTUzeTQ1xd4ZC1zl2KXBMqMsZRkuFGfi5WniTGV/038J8uuq8UV6/6R0QNdL3sM5KXjTf6ko6+NVfhK4AjPGu+OFU5/gTGE6Cuur8YPzu3HlgQJ/WhQBGzML0drqydLEDOu9/RHuGzzokiIioocRg3wdWJiYYtfy53G3snhE13J3Cp3YkXgSS9wm9dof+XW/hZhi74wdCSOzj3hNSxO+zryFyBmL+00h/VlQGGpamwyyV/RgBEHAznsXsdhtUr+13QDw9KRZsDIxHdZt4iqb63G6MB0vTp03YOBoJDHCi1Pn4WhuisGnfwNdo5IHFUl43Gem2gc8YyMjPDt5Dg7npAyZMVlf8YVpqGtrwUY1yeVUNsoC0djeqvPUX02cyLuH5o42jabMbpQF4nZ5gUH2ZBcEAfuyb2Odtz8sTEyH7ou867s5mZ8qaj/uV3Vtm/akhtOlJRIJNsmDcDI/Ve/AVqWutRnxBfe1CjIlEgmelHVt4SbGi48juSnwsJYOmQ+grw2yALR2dOBYbope7R/NTcFCV7lOAcxmeRCya8p7ja5qY3/2bbiNs9N4mUJf67xmwAgSHMnR7jvIq6vE7fICrV+s9PX8lLk4VZCKYg1f7MZmJcLYyGjIGTSaeGP6QiRVFAy5W8lHqZfhaGGN9TrmAOjLz8ENT00KwR9ux/X7N6VT6MQvrx6AzM4REZNCRGlPxczYBP9Z+Qqm2DvjxbhPMC9mO84UpuGfS5/BIjdxtrIjIqLeGOTrKNDJE89PmYt/JJ9FdUvjiPThWN49ZCjL8NOg0F5BorGREX4aGIpLD7JGJHHb4dyuNa8DjXh4WNtjvY8/dt27NKxbnyVVFCKlsgivq1nbPc7UHE9Pno0vMm6IlhBrKIcUyZAAgyatempSCIwkEsQYcAsylWslCpQ01mLTEFnKN8mD0NzRhhN5hk3Atz/7NgIcPSCzcxy0nKeNA+Y6e2OvgaalA11T9ee5+MBdgy2RwiZOwzgTM72zhw/kVlkeCuqrNQ40vGzGY9YEL9Gn7B/MSYKdmSWWaLhtGgBslAeJEtiqnMi7h9aODq2DvSe/efFxqkC/Fx/tnR3fTNXXfpsx13F2WOAq1+u+VDTV42qJAmt1DAAXuvrC2dJGp783rR3tOJybgidlgTonMbO3GIdlHlOwJytBq9kEezITYG1qjpWe2s1e6GuTPAhWJmb4PH3oRJkdnZ34IuMGVk+crlXuA3WWe0zBZOkE/P72KbWfvaCuCl9n3sLr0xdqvHOBJn4RsgrGEiN879yXvbZpff92PG6U5uF38zaI2p6KvbkV9qx+AwfWfhcfLn8B15/6hdbLTIiISHMM8vXw48DlaOnowGf3DT91eSAf3ruEx1xkCJnQfyRltZcffO2c8EnqlWHvV2xWIha7TYKLle2A51/3W4iC+mqcK8oYtj7tzU6Es6UNlgwyavDClHlQtjQiTuRRT/V9ut2VPG2QUTipuRVWevoZNIBV2fdNlvJgp8G3aXK3lmK+i8ygfVK2NOJsYbrGyaY2yoNwsTgTZY3aT/0dimoveE1HjC1NzLDGawb2G2BP9n3fjJ7OdfbW+JpN8iBcKM4UbTaIIAg4pEjGOm9/rbJIu30T2MaKNGV/vyIJc1284TbOTqvrvGzGI8RpIvZnJ+nV/rWSHFQ2N2i1T3tPm+SBuFqSo/FIcl8Hc7p2WNB1XbqxUVfG9YOKO1ovO7tQnAllS6POU/VVXpg6DymVRUjUMMdHW2cHvsq4ic3yIFiZmunVtrWpOSJ8Q/BFxo0hZ3WczE9FTm0FXpu+QK82VYwkXUvZLj/Ixmk1CRjfSzgJOzNLvCrSVH0VJ0sb/GvZs0goz0f48Z3YnXkLP7qwG3+5cwa/CFmFBWryn4hBIpFglrMXVntN13mpBRERaYZBvh6cLG0Q7huMT9OuaZwpVyzp1aW4VZaHF6fOG/C8aqr38by7KB3GBIGKmnLcKsvDU77qp/sFOnpgqr3LsE3Zb+vswCFFMp6UBcLYSP2PvMzOESFOE7Vap6krRU05kioKNBqR3ewbhLTqEoPtMw6o1r+naJSlHOgKHC8VZ+NBQ41B+nM09y7ahU6Ns2ev9/aHicRIp22xNOnLUHvB97VRHghFbYXOU6EHoho93SgL0mr09HFvf0ggXjLAxPIC5NdX4UkdpktvlgfhWkmO3jtZlDVq9+Klr43yIJwvykBVc4POfTiUkwwvGwfMHO+u0/VrvGbAzNgYB3S8L7FZiVjuMQUOeqw13uwbhKqWBpwp0C7T/9cZtzDN3gV+Dq46tw0AS90nwctmPP59X7OX0XH591HWVIfnpszVq12VN6YvRG1rMz4epH1BEPCPlHOY5+Iz5AtQbazwmIolbpMQdXlfv61lj+am4GDOHfzX7LV6v8wYyHwXGfasfgPtnR342aVYXCzOwu8XbMabM5eK3hYREY0MBvl6etXvMZQ11eGISFNQNfVVxg2Mtxg36N7I4b4hMDU2xpcZAyfZMYTYrETYmlkM2i+JRIKnJ81CXP79YVlrfr4oA1UtDdjsO3RAHeEbgvPFGQZ/MbJPkQQbU3Os8Bw6M/kS98kYbzEOe7MMN3KuWv+u6TTwrlFcY1EyhA9kv+I2Frr6YoKVjUblpeZWWOE5Ffv0HJ0dyOGcO1jsPkmrdc8LXOWYYGkj6jT5c0UZULY0ar0m2N5iHJZ7TBHtu9mvuA1nK1vMdfbR+to13jNgaWKq9yj6oW9GsXWd7rve2x8CoPPv7ZaOdhzLu6vTVH0VGzMLrJroh71ZiVrP+EirLkFKZREiBnmZqgk/BzcEOHrgEy1moxU31OBUQSpeUPOCWRtGEiO8NHUejuSmoHiIF4aCIOCDuxcwx9lb75cLKhNtHPDs5Dn4V8o5VKt54XNAcQd3Kgrxk8BQUdpUkUgkeH9RBNqFTjx/6pPu3XrOFWXgxxf3YK3XjO7dOgwhZIIXTmz4ITJf+G8kbHkHz4i0ZR4REY0ODPL1NFnqjMdcZPh6GLeFa25vQ2z2bYT7hgw6XdbWzAJP+AQgVoeHSF10Cp2IzU7E494zh0wKtlkeBCOJRPRs2wPZl30bU6TOmGY/9IOhKumcvkHIYARBwP7s21jr7Q9LDZKnmRoZ4wmfABxQJBksj4Fq/bumW0PZmllgpaefaFOveyquV+J6Sa7W+0JvkgchpbIIGcpS8frSUIPrpbla78dtotobPkf7qdDq7Mu+jekOrphi76z1tRvlQUiqKICiRr9kgG2dHTick4wnfQIGnRWjjrWpOVZPnI7YbP1+J+3Nvo0VHlN1Xh/taGmNxW6TdM6yH5efCmVLIyJ8g3W6XiXCNwTpytIhE7D1FZOVCHtzq15bgerqdb+FuPQgC2nVJRqV/zLjBiyNTUVJQAcAz0yeDWtTc/z1zplBy116kIXE8nz8YOYyUdpV+XHgcgAS/PLawX7nKpvr8b83j2KN13SDbL/mYmWLr1a9hpLGGiyI3YFFe/+A5099jHnOMvxl8RadXyBpw9LEbFjaISKi4cUgXwRPTZqFKyUK5NdVDUt7cQX3oWxpxLMavHkP9w1GXl0VbpXlGbxfVx4oUNxQg6c0yMxrbzEOqyZOx55M7ZIuaau2tRkn81Ox2Xfwrc9U7MwtsdLTDzFaJoPSRmJ5PvLqqrR6SN4sD0JpUx0uPhBnf++eqlsacUaL9e/dfTLQMoJDOckwMzbGai3XGi/3mAo7M0tRZzwcyUmGubEJVmm5RRnQ9dKhsrkBF0TYG762tRlxBfd1DqxCPafB2tQc+xX6fTcXijJR2dyAjUMkZxxMuG+wXlnd06tLkVJZpNHMnMFslAfiZlke8uoqtb7268xbCHGaqPfe5UvcJ8HH1hGfaDhdHQCa2luxO/MWwn2DtcqJoM467xlwtrTBhxrsFNPQ1oLP7l9DuG8wrDXYOlETNmYW+J7/EnydcROKmvIBy3R0duK9hJMIcPTAUi2SPWrCydIG/zd/Aw7lJOMfyee6jze2teI7Z79Eu9CJ/5m3QdQ2e/JzcMPZjT/FtuCVWOo+GR8sfRafhr2k0QtgIiIidRjki2Ct1wxYm5ojdhjWcgNdo66Bjp4ajbrOdfaG+zjpsPQtJisBPraOGq9bjJjUNYp1t9Jwa82P591Fa0eHVmt3w32Dka4sxT0DrYHfl30brlZ2mO+i+XTnAEcP+No5Ya8B7uPR3BR0aLH+XcVQywgOKJIQ6jlN672TzY1N8ITPTOxX3EanIM6Mh679uKfotI/zdIeuveH36RlYA8CRb3as0PYeqViamGKd9wzs0zMZ4H5FEibZTcB0Bzed69AnqzvQlUTTzswSyz2m6twHAFjjNR12Zpb4LG3o7Oo9FTfU4HxRJrZM1m+/dODb6epHc1O6p2sPZW/2bdS2NuEVkRKymRmb4PXpCxGblTjkto+fpV1DXVszvuu/RJS2VV6eNh9u46R46/LeAf/ufpZ2DXcqCvHfcx83yKjzk7JA/ChgOd5NOIFX4z/F3+6cxdrDf8OdikLsXPa82iSyYpGaWyFyxmL8z7wnsN5nps47FhAREanwXxIRWJmaYb23P2KyEkQLLtSpbm7oGnXVcCTNSGKEzfIgHM5N7rVdjtjq21pwLO8unvIN0fghbLFb18P+HgNuD7c3KxGPucq0ysC92H0SHC2sDfJipLWjHYdykrXeekoikWCzPBgn8u+Jvj/9/uzbWKTF+ncVQywjyFKW4W5VMTboGMxulgejuKEGV0ty9O5Lbm0l7lQUYoOO+3FLJBJslAfhZF6q3vcsNisRi1x94aplJvmeNsmCkFdXqXEm874a2lpwMv8eNso1S86ojj5Z3ds6O7A3+zY2yAL03ubL0sQMz0yeja81yK7e0+dp12BlYorHvXXLqt/XU5NmwdzYRKOR9I7OTnx07zLCPKdhoo2DKO0DwMvTHoOjpTV2JJxSW6aquQH/TDmPCN8QeFjbi9Y20HUv3l8UjhuleXj31sle526W5uJ/bh7FS1PnD7iTjFh+HhSGvy1+Gvn11fjX3fPwtHbAofXfw1wtXsYSERGNFgzyRfLUpFkoqK8WJbgYzJHcFAgYfG/1vjb7BqO2tRnxarbqEcPR3BQ0t7drlSjIxMgYG+VB2K9IQosBdidQBXvaTnE2NTLGRnkgDugQhAzlfFEGqlsadZruvEkehKb2NhzPFW9/+sL6alwvzcVGHaeBh/sGo/SbLebEcCDnDmxMzXVeaxwyYSK8bBxESXi3X3EbViZmWKHHiPFGWSCaO/S7Z7m1lbhRmotwPZOszXORwcXKVuc8GAcUd9Dc3i7KWuzNvsGoamnAucJ0ra47kXcPpY21eGGK/knfAOClqfNQ19ai8XfS2NaKT9Ou4dkpc3Sa3TEQWzMLvD59If59/+qQo/n7FUnIrCkTPQu6pYkpooJX4XBuMk6p2UL0f24eRafQibeCw0RtW2W+iwy/nrMO/7p7Ht8//zUuP8jGzrsX8eypjxDkNBH/b846g7Sr0vVSLhDxT/4Yqc/9Bv9Z+Qqm2rsYtE0iIiJDYZAvktkTvOBlMx6xBhyVBroe8ha6+cLJUvNRV7mdEwIdPQ3atz2ZCVjoJoebtVSr6yJ8Q6BsacRpLbdw0sRBRRLMjI2xVoutz1TC5cGoaK4XZT11T3uzb+u89ZS7tRSPuchETXZ3QJEESxNTnffanjnevWsZgQhBtSAIOKi4g7XeM4ZM3KiOavT8WG4KmvSYudIpdCImMxGP+8zUawsrd2sp5rvIEKPH373Y7MSuhHVe2ucF6MnYyAhP+YZgX/Zt1LU2a3WtIAj4T9o1LPeYIsoorp+DK/wcXPGllglLP7l/BfNcfDDNQZzgy9PGAWu8ZuBfKRc02gb1q8ybqG9rwWt+4uyXrhI5YzHMjU3w/u04tWWa2lvx/u04rJ44XdSt3FTCfYMR5jkNP7+0F9l91sZ/kX4DMVmJ+NXsdVr926Ot16cvxJ8XPYWLxZnYcmIX/vfWMWyUBeHzla/oPXODiIjoUcIgXyQSiQQRvsE4mnsXDSJPp1YprK/GjVLts44DQIRvMM4WZqC8qU70fuXVVeJ6aY5OI41T7J0R4OihVxCkzr7s21jp6afTiJufgyum2ruI2q+alibEFdzHZrnuGbk3+wbjygMFiuqVevdHEISu72iiH8bpmERLtYzgeJ7+P/e3KwqQU1uBDT6BetWzSRaEurYWxKkZkdTE1ZIc5NdXYcsk/dddPz15Nq6UKJCpLNP62vbODsRkJmC9tz8sTfTfL/vFafPR3N6G3Zm3tLrudkUB7lYV40URtk1TecNvIeIK7iO16oFG5ZPKC3CjNBcvi7QWXeWngaEoqK/GV0O8cKhva8Ff75zBJnmg6NPVbc0sEBWyCl9l3FT7YnFH4imUNdXhnVmrRW1bRSKR4P2F4XC0HIfNx6KxPzsJmcoyvJdwAlFX9uGlqfPw9DBssxbuG4xbW97B2Y0/RfIzv8KOBZtE+dknIiJ6lDDIF1G4bzAa21txTMTp1D3pM+r6hCwAxhIJDiiSRO9XbFYixpmYYc1E3UaDn/INwZnCdFFfQNyvKsH96hJs0jELuEQiQbg8uHsnAzEczUtBW2cHntQjM/larxkwNzbRO0s6AKRWPUCGsgybZPpnKW9qb8PxPP1+7r9MvwH3cVK9t6qS2Tli1gQvrUeJe9qdeQs+to6YLcIa4PXe/nCytMa/tcigrnIq/z6KGpR4aep8vfsBdG3Ztc7HH5/cv6pVHoWPUi/D09pe1MzmT8oD4Wltj7/dOatR+fdvx8PXzknn3zPqTLF3xmZ5EP6YFI8qNXulA8Df7pxFfVsL3gpaKWr7Ks9PmYOFrr74wYWv+211uD87CbvuXUJU8CrINNzmUhcOFuOwe/UbCHD0wA8ufI1l+/+IXfcu4edBYfhfA2aY78vUyBiTpBMg1XGLRCIiokcdg3wReVjbY4Gr3CCJ5PQddbU3t0LYRD/sFnnLuk6hE3uzbmO9HtOaVS8gxNybfr/iNqTmVliiR1CyUR6Its4OHMlNEaVPe7NuY6Grr16Zmm3MLLDaazr2Zt3W+z7GZCVgvMU4LHafpFc9Htb2mO8iw1cZ2o0O91Tf1oJDOcl4evIsnfZf7+vlafNx6UEW0qtLtb62qrkBR3NTsGXSLFEyeZsbm+C5KXMRk5WIWi2nyX+UehlznL3h7+iudz9UXvdbiLy6So1/rhU15Tick4zv+i8R5d6omBoZ4/szl+FIbgpuD5EM8HpJDs4WpeOngaGi9kHlnVlr0CEIeOfqgQH/XiWU5eODuxfwg5nLtF6SpCkjiRH+ufQZ2JtbYeOxfyEmMwGpVcXYnnASP7q4G+HyYLwxfaFB2u7JydIGn4a9jIubf449q99AwpZ38OPAFdxLnYiIaAxhkC+yCN9gXC1RoKCuStR6xRh1fco3BGnVJaJuDXftm2nNEb66T0G3N7fCyol+2CPS3vSdQif2ZyfhCZ+Zeu0j7Wxli8Vuk0TZtq6grgrXS3N0nlnQU7hvMDJrynTOkg4ATe1tiMlKxFO+s2BqZKx3n16aOg/XS3OQquPP1gFFEpo72rBlkjjTgdd6de39rc3+4yr/SbsGAHhWxKnJL0yZi7bODnyWdlXja+5UFOJ6aQ5eFXl6epCTJ0I9p+L3iac0Siz5lztn4GRpg6f0TPw3kC2TQuDn4IJ3rh5QO7OgtaMd71w9gEBHT6z38Re9DwAwwcoG781/EkdyU/CH23G9fg/l1lbijTP/QYCjB74vcsK7vhwsxmHv2kjMmuCFn1yKwcqDf8XOexfxw4DleH9h+LAG2j62jnjMVc7RdCIiojGIQb7I1nr5Y5yJmajJ0YCu9eX25lZ6jboucZ8EJ0trxIi4NdzuzFvwthmPuc76bTMUIeILiAvFWXjQWKNVpn91wn2DcbMsb8j9o4fyZcZN2JiaY40OSQD7WuTqi4nWDjoFsCpHc5NR09qE56bM0bs/ALDaazpcrezwUar2fRIEAZ/ev4rlHlO02upwMGbGJnh+6lzEZiUOOgW7r5aOdnyadg0RviFwsBgnSl+ArhdGz06ejX+lXEBNS5NG1/whMa5reroIPzN9bQtehby6Knz2zQsNdRLK8rA3+zZ+HLBc52SIgzExMsbv5m/EvapibE88OWCZ3906jqyacuxYsNGg+4ev95mJt0NW4y93zuC105/hWO5dfJByAesO/x3Wpub4aMULMBHhhdhQxltY46MVL+J6xC9wYO13kbjll/h5UJhBZjAQERHRw4lPDSKzMjXDOm9/xGYlijYtvrWjHbHZidgkD9Jr1NXEyBibZEHYn52kUSbpodS2NuNo7l08PVn/ac1L3CdhgqUN9mTqv9Th87TrmCJ1FiUD9aqJfrAzs8Dn6Td0rqO1ox1fZdzEZt9gnRPc9WRsZIRX/ObjSE7ykFtuqfNZ2nUscZsEb9vxevcH6PrZemnafBxQJKGyuV6ra88XZ+J+dQm2Tl8kSl9UXpw6D8YSCf6Zcl7ja/Zk3kJ5Uz1eFzl7OgD8IGA5mjvaEH33wpBlVdPTf2ag4M7PwRXPT5mD9xJOIK+ucsAyTe1t+MWV/fAf745nJ4vzMmggIRMm4p2QNfhnynlE373Q/XtTEAT8PfkcPky9jN/MWQ8/BzeD9UHlzZlL8cGy55CuLMPWs5/jvYQTWDlxGg6t/55Bs8oPxN1ailnOXrAztxzWdomIiGjsY5BvABGTQpBXV4Ubpbmi1BdXcB+VzQ14WoSpzOG+IahqacDpQv23rDuoSEJrZ7ve+3cDXUHiRnkQ9iv0ewFR0liLuIL7eGHqPFGmtlqamOGZyXPwVcYNnbPHH8+7h4rmelEzkz/lOwtmxibdU8u1cbM0F4nl+aL2BwCemzwbxhIjfJByUavr/pVyHgGOHpjvIhO1P+MtrLv3Hy/V4GVIY1sr/pR0GhvlgfCVThC1L0BX0rvI6Yvwwd0LyFCqzxXQc3r6Om/xR/FVfjl7LRwtrLH1zOf9ttQTBAH/de0AFLUVeH/hZoOPIkfOWIQ3/Zfif24ew8ZjH+B3t45jw9F/4b2EE/hRwHK8PE2cxIOaWO/tj0ubf47bT/8Sac//Fn9a9BSnrBMREdGYwiDfAOY6e2OitYNo2699nXELQU6eouwNPc3BBYGOnvj0vvbBYU+CIOCrjJtY5j5Fr0RyPUX4BqO6pRGn9Nj6bHfGTZgZG2OTCFP1VV6Z9hga2lq13nYM6PqePkq9jHkuPpgsdRatT3bmltgyaRY+TbumdTK3vyefw2TpBIRNnCZafwDA3mIcXvdbgE/uX9EoqAaAy8VZuPwgG2/6LzXIeuOt0xfBwsQUv7t1fMiy/7x7HtUtjfhZUKjo/VD5YcByeFjb4ycXY9DU3jZgme2Jp5BdU44dCzYZdHq6tak5Pl7xEvLrqvD0yQ+7M7rXtDThxxf3YHdmArY/tnFYRtAlEgnenrUan4W9AksTUxzKuQMbU3N8vvJVvBW8ctiTvkkkEjhZ2hhkiQIRERGRoTHINwAjiRHCfYNxKCdZ4/W36hTVK3GuKAPPiJgE7PXpC3DpQRbuV5XoXMetsjwkVxaJOho81d4F81x88MHdizotdWhub8O/065ikywItmYWovXL3VqKtV4z8FHqZY0SlfV05UE2Esvz8T3/paL1R+V7/kvQ1N6KXfc0HzlPqSjC6cI0fM9/qUECyMgZi2FubIz3b8cPWbZT6MT/3DyGYKeJOm0LqQk7c0v8v9lrsTf7Nk4XqJ+9klpVjL/fOYvv+S+Bl404SxgGYmFiir8teRrp1aX40YXdaOkza+XT+1cRffcC3pm1Bn4Orgbrh8o0BxfsWb0Vlc31WLr/fSza+weE7P4djufdw18XbxFllo42lntMwVerXse1iF/gi1WvibplHxEREdGjgkG+gTw/ZS7aOzvwZYbua7kB4N/3r8La1AxP+ASI1DNgnbc/nK1s8fH9yzrXsfPeRcjtnLDMQ9yH8Df9lyKpogBXHmRrfW1sViIqmxvwHf/FovYJAL4/cyny6qq0zhnwlztn4D/eHcsMEKy4jrPDS1PnYde9S6hoGnodvCAI+O3NI/C1c8IGmXg/Tz3ZmVvireBV+DLjBq6WKAYt+3HqFdytKsb/m73OoCO1Eb4hWOY+BT+6uAeKmvJ+56uaG/DGmc/hK52AHwYsN1g/VAIcPfDPpc/gdGEaNh79F47kpuBicSZ+dGE3fnntIF7zWzAsW6Wp+Du64+zGn+H3CzYj1HMq3goOw4XNPxd1NgwRERERDR8G+QYywcoGT8oC8cn9K1qP/qrUt7Xgi4zreG7KXFiLkLBNxdTIGC9PnY992bdR1lin9fV5dZU4mZ+KN/wWij4avNR9MqY7uOJvyee0uq6tswP/unse67z84WPrKGqfAGD6eDdskAXgj0nxaqdZ93WmMB1XShT4UcBygwWx35+5DKZGxvj1jcNDlj2Sm4JrJTn49Zz1omybp86LU+dijrM3fnJxj9qXD/cqi/Fuwgm85rcAs5y9DNYXoGvq9d+WbIGjxThEnNiFhLK87nOKmnJEHN+J+rYWfLziRZjrseWiNlZO9EPsmkgYSYzwnbNf4JmTH+FicRZ+v2AzfjNn/bBPT7c0McWWSbPw6znrETljsWhLcIiIiIho+DHIN6DXpy9EcUMNjuam6HT91xk30djWilcNkOn7halzYWFsgr8ln9X62j8nncZ4i3HY7Cv+SJ9EIsFPAkNx6UEWzhSma3zdf9KuIb+uGj8IWCZ6n1R+HhSGquYG/PXOmSHLtna04zfXD+MxFxlWTfQzWJ8cLMbh13PW46DiDo4M8nP2oKEGb189gLVeM7DMY4rB+gN0LVf52+Kn0dLRjpfjP+23hV2msgwvxn2CKVJn/CJktUH7oiI1t8Ke1VvhNs4OG47+C08e/Rciju/E8v1/QnNHO/auicREG4dh6YtKkJMnjjz+Jm4+9TYubPoZbj71Np6ZPHvYA3wiIiIiergwyDcgPwdXLHWfjD8lnUa7lqP5Te2t+NfdC9ggCxBt7/CepOZW+M6MJfg8/ToK66s1vi5DWYq92bfxo4AVsDQxE71fQNe2dfNdZPjvG0c0mgVR3dKIPyadxtOTZxl0HbOPrSN+GLAM/0w5j+SKwkHL7kg8hfy6Kvx27hMGD9o2y4Ow3tsfP7m4B0nlBf3O17U249XTn8HC2ATbH9to0L6ouFtL8Wnoyyior8LqQ3/F52nXcb0kB3+9cwaPH/kHpOZW+DTsZVgOY2KzCVY22L/2O/jzoqfgPk4Kqbklfj1nPeKf/LFBsulrynWcHWR2TtwHnYiIiIhEwadKA4sKXoXsmnLEZCVqdd0n96+isqkePzVgpu9X/R6D1NwS/33jqEblBUHAb28chfs4KZ4VMRFgXxKJBL+dux45tZX4c9LpIcv/19WDEIROvBW00mB9Uvn+zGXwc3DFG2c+V7vU4XjeXXxw9wKiQlaJsiPCUCQSCf60KAJT7V2w5cQu7M2+jU6hE0BXQrmNxz5AXl0lPgt7GfYW4wzeH5WZjh44sv5N+I93x9tXD2Dz8Wj85c4ZbJIH4cC67w77vuNA11aN4b7B+MfSZ7Br+Qt4xe+xYX3RQERERERkaBJBlzTmjzg/Pz+kpmq+zdv3zn2J66W5OLvxpxplfS9vqsPSfe/jSVkQ/m/+Bn26OqSDijt48/xX+HD5C1g9RIbzfdm38cMLu/Fp6MtY4TnVoP0CgL/dOYsdiafwxcpXsdh90oBlvki/gagr+/D3JU/jSVmgwfsEAMUNNXj8yD9ga2qBj0Nf7JUD4KDiDn5ycQ9WTvTDP5c+Y9At0PpqaGvBzy/txeHcZDhaWGOcqTny6irha+eED5Y9h6n2hn/hoI6ypRHlTfXwsJYabAYIEREREdHDTNM4lEG+DrQN8ovqlVi+/494UhaI7Qs2DVn+u2e/xOUH2Ti36adwMPDIqyAIePX0Z7hVloejj39f7brk7JpyrD/8dyz3nIp/LHnGoH1S6ejsxMvxn+J6aQ7+HfoSHnOV9zp/UHEHP7ywG89NmYPfzX9yWPqkoqgpx4tx/8aDxho8KQuEh7UUVx8ocKVEgY2yQLy/MBxmw5TEra+EsnycKUxDY3srgp0mYrXXdIMm2iMiIiIiIsNjkG9A2gb5APBZ2jW8c/UAdi1/Hmu8ZqgttzvzFn52KXZYR6armxuw/sg/YWZkjC9XvQbXPjkACuurseXEhzAzMsbhx98UNdP/UJraW/FK/Ge4WqLAK9PmY733TLR0tiM2KwExWYnYLA/CHxdGjMh65vq2Fuy8exFHc1NQ2dyAydIJeHnaY1jjNZ3J04iIiIiISFQM8g1IlyC/U+jE9859hdOFafh61esImdB/27ALRZl4Of7fCPcNwfbHNg5roJhdU46nT3wIAQJ+M2c9Vn0zdf9obgp+e+MILI3NsHv16/Ac5gzkANDe2YF/ppxH9N0LqGltBgBMsLTBTwND8dyUOQyoiYiIiIjooccg34B0CfKBrlHp5059jOSKIvx27uN4etIsGBsZoa2zA5+lXcP/3TyGhW6++HD5CyMy1bu4oQZRl/fhbFF69/Tuts4OrPSchvce24QJVsOfKK2nlo52ZNeUwVhiDF9mIyciIiIiokcIg3wD0jXIB4Cm9jb817UD2J2ZgAmWNvCxHY+smnJUNjfg5Wnz8f9mrxuxtdxA1xr91KoHuFGaC4lEgjnO3gbdlo6IiIiIiIiGxiDfgPQJ8lWSKwpxKCcZJY218LCWYoNP4LBst0ZERERERERjj6Zx6MgNGY8BCoUCMpnMIHXPdPTATEcPg9RNREREREREj6ZRH+QrFApERUXBwaEr4ZtUKsX27dtFv1Yul0OhUPQ6Vl1drUfPiYiIiIiIiIbXqA7yFQoF5HI5YmJiEB4eDgCIiIhAREQEYmJiRLs2NjYWMpmsuxzQFfRLpVJxPxARERERERGRAY3qNflhYWFQKBTIzs7uPqYK3uPi4hAaGirKtWFhYYiJidE4qBdjTT4RERERERGRpjSNQ0ftHmRKpRLx8fH9AnmZTDbklH1tro2Pj0d8fDzeeOMN7Ny5E0qlUtTPQURERERERDRcRm2QHx8fDwAICQnpd04mk3Wf1/fauLg4AF1T9iMjI2Fvb4+dO3fq1XciIiIiIiKikTBqg/y+SfB6UiXSUzfqrs2127dvhyAISEhIwNatWwEAkZGRDPSJiIiIiIhozBm1QX5lZSWAb4PynlRr56uqqkS7Njg4GNHR0UhISIBUKkVkZKTavgmCgNra2l5/WlpahvxMRERERERERIY0aoN8uVyu9pxqFH6gIF7fa4ODg7vX7KubEVBRUQE7O7tef9599121bT4qWlpa8Jvf/IYvPEY53qexgfdpbOB9Ght4n8YG3qexgfdp7OC9GhsMcZ9GbXb9xMREhISEIDo6unsavUpISAgSExOhruv6XAt8m4U/ISEBwcHB/c5PmzYN169f73XM3Nwc5ubmmn68h1JtbS3s7OxQU1MDW1vbke4OqcH7NDbwPo0NvE9jA+/T2MD7NDbwPo0dvFdjgzb3SdPs+iZidU5sMpkMAHptgaeiUCgG3T5Pn2t7GijABwCJRMK/KERERERERDTqjNrp+lKpFKGhoYiNje11XKFQQKlUDrpmXp9rga7s/OHh4bp3noiIiIiIiGgEjNogHwCio6OhUCh6bXkXFRWF0NDQXkG4QqGAvb09duzYodW1iYmJkMvliIqK6i6TmJiImJgY7Nq1y5AfjYiIiIiIiEh0o3ZNvopCoUBUVBRkMhmUSiWkUml3YryeZUJCQrB9+/Zea/CHulapVCIiIgK3bt2CTCZDaGgo5HJ5v3X8fdna2sLDw0PcD/oQEAQBFRUVcHR0hEQiGenukBq8T2MD79PYwPs0NvA+jQ28T2MD79PYwXs1NmhznwoLC1FbWztknaM+yCciIiIiIiIizYzq6fpEREREREREpDkG+UREREREREQPiVG7hR6NLQqFArGxsaisrMSWLVvUbj9IREREjzY+MxARGRaDfFJr586diIuLQ0xMjNoySqUSUVFRiI+PR0xMzID/UKsSIDo4OADAgMkTDVHuUaHJfVJRKpXw8fFBQkICZDJZr3O8T4Y11H2Kj49HVFQUEhMTIZPJEBUVNWASUN4nwxrqPo3U98/7pJ7q3x+pVAqlUomqqirs2rULUqm0Vznek5HHZ4axhc8MoxefGR4OBv0+BaI+4uLihK1btwoAhODgYLXlsrOzBZlMJoSGhg5aBoAQExPTfSw8PFwIDw83aLlHgab3qafQ0FABgJCdnd3rOO+T4Whyn2JiYoTg4GBh+/btwtatWwWpVCoAELZt29arHO+T4Whyn0bq++d9Ui8uLk6QyWS9jm3fvr3fPeQ9GXl8Zhh7+MwwOvGZ4eFg6O+TQT6pJZVKBw0eZTKZIJVKherqarVlQkND+z2AqX6o4+LiDFbuUTLUfVLZvn27EB4ePuA/2LxPhjfYfer70FtdXd39j3bfcrxPhjXUfRqJ75/3Sb3Q0NB+D0QJCQn9fs/xnow8PjOMLXxmGL34zPBwMPT3ySCf1BrsYXf79u0CACE6Olrt9dXV1QIAYevWrQPWrfolJXa5R40mQX52drawdetWISYmpt8/2LxPw0PdfUpISBASEhL6HVeNKqvuFe/T8FB3n0bq++d9GlxwcLAglUp7HVP9nlMFk7wnI4/PDGMLnxlGLz4zPByG4/tkdn3Sybvvvtv9/8PCwiCXyxEREYHExMTu4/Hx8QCAkJCQftfLZLLu82KXo/6ioqIQHR094Dnep5EVHBw84LpU1Xpi1TpI3qeRNVLfP+/T4N5++20olUqEhIRAqVR2r/mOjo7u/jvEezLy+MwwtvCZYfTiM8PDYTi+Twb5pDWFQgGlUgmpVAqZTNadpCoxMREhISHd/2grFAq1dagSTCiVStHLUW9RUVGIjIxUe573aXRKTExEeHh493/zPo2skfr+eZ8GFx4eju3btyMxMRE+Pj5YsWIFYmJieiWg4j0ZWXxmGFv4zDA28ZlhbBmO75NBPmlN9YO5detWhIaGAuh6s6jKRh0VFQUAqKysBPDtD2tPqjeOVVVVopejb6kenlT3aSC8T6OPQqFAfHw8du3a1X2M92lkjdT3z/s0tG3btiE0NBRKpRKJiYnYvXt3r/O8JyOLzwxjB58ZxiY+M4w9w/F9MsgnnY0fP77XfwcHB0Mmk+HWrVsAALlcrvZa1dspBwcH0cvRt6KioobcioP3afSJiopCXFxc9y96gPdppI3U98/7NLSIiAgEBwcjOzsbMpkMO3bs6DUSyXsyOvCZYfTjM8PYxGeGsWc4vk8Tva6mUSkxMRFvvPGGxuV37do14PoedVTrfVRvofqeU721nzVrFoCB30SpjkmlUtHLjRWGvk+RkZH91jzevHmzu22lUong4GDepyEY+j71tWPHDoSFhfUbSeF9Gpyh79NIff8P230aiD73TrVPtGpUODs7G2FhYdi5cyciIiIQGhrKeyISXe8TnxmGl673ic8Mw0usf7P4zDA2Dcf3ySD/IRQcHIyEhASD1a/6B1vdehLVedX/Zmdn9yujUCi6fyGJXW6sMPR9unXrFnbu3DnguYiICABAdXU179MQDH2feoqNjYVUKu21nliF92lww/V7b7i//4ftPg1En3sXGxvb7zuIjo6GXC5HXFwcQkNDeU9Eout94jPD8NL1PvGZYXiJ8W8WnxnGrmH5PvXOz08PLekgW7OpturoSyaT9doOYrA9IGNiYgxW7lEy2H3qa6DtcASB92k4DHWf4uLihO3bt/c73nOrHN4nwxvsPo3U98/7pF5wcLAQHh7e77hUKu3194n3ZGTxmWFs4jPD6MVnhrHP0N8ng3xSSyqV9vvhU6murhakUqmwbdu27mNxcXGCVCrt3ptYEL79YY2Li+s+Fh4e3m//R7HLPUoGu099qfsHm/fJ8Aa7TwkJCYJMJhO2b9/e68+2bdt6BTC8T4Y32H0aqe+f90m9gX6nJSQk8N+iUYbPDGMTnxlGJz4zPBwM/X1KBEEQ9J8PQA8TVXbiHTt2AOia+thzyqOKUqnsXk8kk8mgVCqxffv2fmtIFAoFoqKiustIpdIBE7uIXe5hp+l96ik2NhYRERHdCap64n0yjKHuk0KhGDQBS0xMTL9tcXifxKfp36eR+v55n9SLjY1FdHQ0ZDIZpFIpFAoFtm/fPmruHXXhM8PYw2eG0YfPDA8XQ36fDPKJiIiIiIiIHhLcQo+IiIiIiIjoIcEgn4iIiIiIiOghwSCfiIiIiIiI6CHBIJ+IiIiIiIjoIcEgn4iIiIiIiOghwSCfiIiIiIiI6CHBIJ+IiIiIiIjoIcEgn4iIiIiIiOghwSCfiIiIiIiI6CHBIJ+IiIhEERISAolEArlcjoiICERGRiI+Pt5g7SmVSkRGRiIiIgJyuRwSiQQSiQRKpdJgbRIREY12EkEQhJHuBBEREY19ISEhSExMRHZ2NmQy2YBlYmNjsXv3bsTGxgIApFIpqqurNa4bAIKDg/H2228jPDy8Vxl7e3solUpUV///9u7wpm0uCgPw+0nfABEjuBvACE02wOkEFRsQdYKKbNB2g8Qb4G5AvEE9AvEG9AeyqQW0SE1E6z7PPyfG9/LzzTnnep/ZbPZ7/wwA/KX+f+0NAADTcnJy8ux35+fnOT8/HwL5S6ru6/V6CPiz2Sy73e7J+4qiGO4DgH+Vdn0A4EkXFxdHeW7btqNw/7Og3zRNPn78OFwvl8uj7AkApkLIBwAeKcsyNzc3R3l2XdejVvu2bX+6jw8fPoyuAYDnCfkAwKBt2ywWi1RVlfl8fpQ1tttt3r17N8zNPxfyV6tVTk9PR/P1x9oTAEyFkA8AJLmvsJdlOZyIX1XV6MC7Q64zn8+H2f2nQn5d1/n8+XO+fPmS7XabRMAHgJdw8B4AkOQ+RO92u+FQvG/fvh18jbquh+p8URRp2/bJdcqyzHa7zWw2G350WCwWB98PAEyNSj4AMOgPxTtmq37/7P41e7e3t6N7yrLMcrnMfD4fAn6SR6/MAwAeU8kHAAZ9qD7WAXebzSZfv35Nkrx58ybJuF2/qqrUdZ39fp8kub6+TpKh8g8A/JxKPgAw6EP1MSr5fZfA6elpkodKfh/yu67L+/fvhxn85D70J16dBwAvJeQDAIO6ro9WNa+qatRy36/RdV2ScZt+/3n/A4B5fAB4Ge36AECSpGmadF13tNn36+vr0RjAj6/GW61Wadt26CRI7lv7e07WB4CXEfIBgCQ56in2XdelrutRK/6P3QLr9Tq73W70N33g70/jBwB+Tbs+AJDkIVQvl8s0TTM62f53bTabFEXxKKz315eXl8Osfq9fXxUfAF5OJR8ASPIQqjebTbquy+Xl5cGe/enTpyer8UVRpOu6XF1djT6vqmqY1e9P4QcAfk0lHwBI8tAWf8iA3zRNFotFmqZJ0zS5uLhI0zTD90VRjObw+3t+nN2/urrKer0eQj8A8Lz/7u7u7l57EwDA3+/s7CxN02S/37/KDP1rrw8AfwKVfAAAAJgIIR8AOKj+3fb/yroA8Cdx8B4AcFBv377NfD7PyclJyrI82un4XddltVolSW5ubszsA0DM5AMAAMBkaNcHAACAiRDyAQAAYCKEfAAAAJgIIR8AAAAmQsgHAACAiRDyAQAAYCKEfAAAAJgIIR8AAAAmQsgHAACAiRDyAQAAYCK+A1I4TBpMd8vwAAAAAElFTkSuQmCC\n", + "image/png": 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", "text/plain": [ "
" ] @@ -244,7 +251,7 @@ { "data": { "text/plain": [ - "{'filepath': None,\n", + "{'data_dir': None,\n", " 'metadata_path': None,\n", " 'deltaTOverM': 0.1,\n", " 'include_zero_ecc': False,\n", @@ -265,6 +272,23 @@ "get_load_waveform_defaults(origin)" ] }, + { + "cell_type": "markdown", + "id": "ec74d36c-910d-4b6e-b80d-cb5692850376", + "metadata": {}, + "source": [ + "**NOTE:** Since 2023, the SXS catalog uses a new format for the waveform files where each file corresponds to a specific extrapolation order, whereas in the old format a single waveform file contains all the extrapolated waveforms. The user should use the `load_waveform` function with `origin='SXSCatalog'` for this new format and `origin='SXSCatalog_old'` for the old format. The only difference in these two cases is the waveform files that should exist in the `data_dir`. For `SXSCatalog`, the `data_dir` should contain `Strain_N{extrap_order}.h5` and `Strain_N{extrap_order}.json` file. For `SXSCatalog_old`, the `data_dir` should contain `rhOverM_Asymptotic_GeometricUnits_CoM.h5` file.\n", + "\n", + "### What files should exist in `data_dir`\n", + "The `load_waveform` function looks for the following files in `data_dir` when `origin` is `SXSCatalog` or `SXSCatalog_old`\n", + "\n", + "- **Waveform Files:** These files, as explained earlier, are **required** for loading waveform modes.\n", + "\n", + "- **`metadata.txt` File:** This file contains metadata related to the binary parameters used in the NR simulation. It is required when either `include_zero_ecc` or `include_params_duct` is set to True.\n", + "\n", + "- **`Horizons.h5` File:** This file holds the dynamical variables for the simulation. It's an **optional** file. When provided, it is used to estimate the orbit duration for removing junk radiation based on `num_orbits_to_remove_as_junk`. If not provided, the phase of the (2, 2) mode is used for the same purpose. However, since the (2, 2) mode's phase is affected by the junk radiation itself, the estimated orbit duration may not be highly accurate." + ] + }, { "cell_type": "code", "execution_count": 8, @@ -285,7 +309,7 @@ { "data": { "text/plain": [ - "" + "Text(0, 0.5, '$A_{22}$')" ] }, "execution_count": 9, @@ -294,7 +318,7 @@ }, { "data": { - "image/png": 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\n", 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", "text/plain": [ "
" ] @@ -304,17 +328,65 @@ } ], "source": [ - "# Load nr data from sxs catalog format file using only filepath and default values for other kwargs\n", - "kwargs = {\"filepath\": \"data/SXS:BBH:2311/Lev3/rhOverM_Asymptotic_GeometricUnits_CoM.h5\"}\n", - "dataDict = load_waveform(origin, **kwargs)\n", + "# Load nr data from sxs catalog format file\n", + "kwargs = {\"data_dir\": \"data/SXS:BBH:2538/Lev3/\"}\n", + "dataDict = load_waveform(origin=\"SXSCatalog\", **kwargs)\n", + "\n", "\n", "fig, ax = plt.subplots(figsize=(12, 4))\n", "# Plot the amplitude of the (2,2) mode\n", - "ax.plot(dataDict[\"t\"], np.abs(dataDict[\"hlm\"][(2, 2)]), label=origin)\n", + "ax.plot(dataDict[\"t\"], np.abs(dataDict[\"hlm\"][(2, 2)]))\n", "ax.set_xlim(dataDict[\"t\"][0], 200)\n", "ax.set_xlabel(labelsDict[\"t_dimless\"])\n", - "ax.set_ylabel(labelsDict[\"amp22\"])\n", - "ax.legend(loc=\"upper left\")" + "ax.set_ylabel(labelsDict[\"amp22\"])" + ] + }, + { + "cell_type": "markdown", + "id": "c3ba2e10-94cc-418c-baaa-04aa85b69f94", + "metadata": {}, + "source": [ + "### Load a sxs catalog format file in the old format" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "53a1b1f8-ccd4-4c61-ac4c-4dd8df203738", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, '$A_{22}$')" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "kwargs = {\"data_dir\": \"data/SXS:BBH:2311/Lev3/\"}\n", + "dataDict = load_waveform(origin=\"SXSCatalog_old\", **kwargs)\n", + "\n", + "\n", + "fig, ax = plt.subplots(figsize=(12, 4))\n", + "# Plot the amplitude of the (2,2) mode\n", + "ax.plot(dataDict[\"t\"], np.abs(dataDict[\"hlm\"][(2, 2)]))\n", + "ax.set_xlim(dataDict[\"t\"][0], 200)\n", + "ax.set_xlabel(labelsDict[\"t_dimless\"])\n", + "ax.set_ylabel(labelsDict[\"amp22\"])" ] }, { @@ -322,15 +394,14 @@ "id": "8287d341-bc73-4d1e-83dd-326b47a51866", "metadata": {}, "source": [ - "### Load quasicircular counterpart for SXSCatalog format\n", - "For measuring eccentricity using residual methods like `ResidualAmplitude`, we need to include the quasicircular counterpart also in the `dataDict`. This can be done by setting `include_zero_ecc` to `True`,\n", - "and providing the path to the simulation metadata (`metadata_path`; look for `metadata.txt` that comes alongside `rhOverM_Asymptotic_GeometricUnits_CoM.h5`), so that the correct parameters for generating the quasicircular counterpart can be used.\n", + "### Load Quasicircular Counterpart for SXSCatalog Format\n", "\n", - "One can also choose what waveform model to use for generating quasicircular waveform via `zero_ecc_approximant`. The default is `IMRPhenomT`.\n", + "To measure eccentricity using residual methods like `ResidualAmplitude`, it's necessary to include the quasicircular counterpart in the `dataDict`. You can achieve this by setting `include_zero_ecc` to `True` and including the simulation metadata file `metadata.txt` (typically located alongside the waveform files in the SXS catalog) in the `data_dir` directory. This allows the correct parameters to be used for generating the quasicircular counterpart.\n", + "\n", + "You can also choose the waveform model for generating the quasicircular waveform using the `zero_ecc_approximant` parameter. The default is `IMRPhenomT`.\n", + "\n", + "**NOTE:** To obtain an estimate for the initial frequency required for generating the quasicircular waveform, you need to have `SEOBNRv4ROM_v2.0.hdf5` in your `LAL_DATA_PATH`. You can download it from [this link](https://git.ligo.org/lscsoft/lalsuite-extra/-/blob/master/data/lalsimulation/SEOBNRv4ROM_v2.0.hdf5) and set the path as follows:\n", "\n", - "**NOTE:** `SEOBNRv4ROM_v2.0.hdf5` is required in `LAL_DATA_PATH` to get an estimate for the initial\n", - "frequency for generating the quasicircular waveform. Download it from https://git.ligo.org/lscsoft/lalsuite-extra/-/blob/master/data/lalsimulation/SEOBNRv4ROM_v2.0.hdf5\n", - "and set the path using\n", "```bash\n", "export LAL_DATA_PATH=/path/to/directory/containing/seobnrv4rom_file/\n", "```" @@ -338,23 +409,23 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 11, "id": "62f2a3c0-df23-4992-a8b0-48ff43beb5ea", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 10, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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", "text/plain": [ "
" ] @@ -364,8 +435,7 @@ } ], "source": [ - "kwargs = {\"filepath\": \"data/SXS:BBH:2311/Lev3/rhOverM_Asymptotic_GeometricUnits_CoM.h5\",\n", - " \"metadata_path\": \"data/SXS:BBH:2311/Lev3/metadata.txt\",\n", + "kwargs = {\"data_dir\": \"data/SXS:BBH:2538/Lev3/\",\n", " \"include_zero_ecc\": True,\n", " \"zero_ecc_approximant\": \"IMRPhenomT\"}\n", "dataDict = load_waveform(origin, **kwargs)\n", @@ -396,7 +466,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 12, "id": "c8154bed-7c6d-4ee0-bb23-0dd793075acd", "metadata": {}, "outputs": [ @@ -412,7 +482,7 @@ " 'num_orbits_to_remove_as_junk': 2}" ] }, - "execution_count": 11, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } @@ -442,7 +512,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 14, @@ -451,7 +521,7 @@ }, { "data": { - "image/png": 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\n", 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" ] @@ -462,7 +532,7 @@ ], "source": [ "# Load nr data from LVCNR format file using only filepath and using defaults for other kwargs\n", - "kwargs = {\"filepath\": \"data/RIT/RIT-BBH-0078-n100.h5\"}\n", + "kwargs = {\"filepath\": \"data/RIT/ExtrapStrain_RIT-BBH-0078-n100.h5\"}\n", "dataDict = load_waveform(origin=origin, **kwargs)\n", "\n", "fig, ax = plt.subplots(figsize=(12, 4))\n", @@ -499,7 +569,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.9" + "version": "3.9.0" }, "vscode": { "interpreter": { diff --git a/gw_eccentricity/load_data.py b/gw_eccentricity/load_data.py index 92efbe78..cfeb6314 100644 --- a/gw_eccentricity/load_data.py +++ b/gw_eccentricity/load_data.py @@ -1,13 +1,15 @@ """Utility to load waveform of different origins.""" +import os import numpy as np -from .utils import peak_time_via_quadratic_fit -from .utils import amplitude_using_all_modes -from .utils import check_kwargs_and_set_defaults -from .utils import raise_exception_if_none +import sxs import h5py import lal import lalsimulation as lalsim import warnings +from .utils import peak_time_via_quadratic_fit +from .utils import amplitude_using_all_modes +from .utils import check_kwargs_and_set_defaults +from .utils import raise_exception_if_none from .utils import interpolate @@ -24,6 +26,7 @@ def get_available_waveform_origins(return_dict=False): origin_dict = { "LAL": load_LAL_waveform, "SXSCatalog": load_sxs_catalogformat, + "SXSCatalog_old": load_sxs_catalogformat_old, "LVCNR": load_lvcnr_waveform, "LVCNR_hack": load_lvcnr_hack, "EOB": load_EOB_waveform, @@ -75,8 +78,8 @@ def get_load_waveform_defaults(origin="LAL"): "include_zero_ecc": False } # for loading waveform file in SXS catalog format - elif origin == "SXSCatalog": - kwargs_list = ["filepath", + elif origin in ["SXSCatalog", "SXSCatalog_old"]: + kwargs_list = ["data_dir", "metadata_path", "deltaTOverM", "include_zero_ecc", @@ -161,7 +164,13 @@ def load_waveform(origin="LAL", **kwargs): - "LAL": Compute waveform by a call to the LAL-library. (see https://lscsoft.docs.ligo.org/lalsuite/lalsimulation/) - "SXSCatalog": Import waveform by reading a file in the SXS catalog - format. + in the new format (from 2023 onward) where the waveform files are + named as `Strain_N{extrap_order}.h5` for a given extrapolation + order `extrap_order`. + (see https://data.black-holes.org/waveforms/documentation.html) + - "SXSCatalog_old": Import waveform by reading a file in the SXS + catalog in the old format (prior to 2023) where the waveform file + is named as `rhOverM_Asymptotic_GeometricUnits_CoM.h5`. (see https://data.black-holes.org/waveforms/documentation.html) - "LVCNR": Import waveform by reading a file in the LVCNR-data format. (see https://arxiv.org/abs/1703.01076) @@ -461,9 +470,13 @@ def get_defaults_for_nr(): function. The keys are the following: - filepath: str + filepath: str Path to the nr file. Default value is None. + data_dir: str + Directory to look for the files necessary to load the NR waveform. + Default is None. + deltaTOverM: float Time step in dimensionless unit. Default is 0.1 @@ -513,6 +526,7 @@ def get_defaults_for_nr(): NOTE: This is used only for sxs catalog formatted waveforms. """ return {"filepath": None, + "data_dir": None, "deltaTOverM": 0.1, "Momega0": 0.0, "include_zero_ecc": False, @@ -712,9 +726,15 @@ def load_lvcnr_waveform(**kwargs): def load_sxs_catalogformat(**kwargs): """Load modes from sxs waveform files in sxs catalog format. - This function is intended for loading waveform modes from files in - the sxs catalog format (see - https://data.black-holes.org/waveforms/documentation.html). + This function is intended for loading waveform modes from files in the sxs + catalog in the new format, i.e., from 2023 onward. In the new format, the + waveform files are named as `Strain_N{extrap_order}.h5`. See under + `data_dir` below for more details. + (Also see https://data.black-holes.org/waveforms/documentation.html). + + For loading sxs catalog waveforms in old format where the waveform file is + named as `rhOverM_Asymptotic_GeometricUnits_CoM.h5`, see + `load_sxs_catalogformat_old`. For loading lvcnr format files, see `load_lvcnr_waveform`. Parameters @@ -723,12 +743,29 @@ def load_sxs_catalogformat(**kwargs): Run `load_data.get_load_waveform_defaults('SXSCatalog')` to see allowed keys and defaults. - filepath: str - Path to waveform file in sxs catalog format. The file should - be named "rhOverM_Asymptotic_GeometricUnits_CoM.h5", and - contains the waveform extrapolated to future null-infinity and - corrected for initial center-of-mass drift. - This must be provided to load waveform modes. + data_dir: str + Path to the directory to look for the waveform files in sxs catalog + format. This function looks for three files in the `data_dir` based on + the `extrap_order`: + + 1. The strain file `Strain_N{extrap_order}.h5` (required) + 2. The corresponding json file `Strain_N{extrap_order}.json` (required) + 3. The metadata file `metadata.txt` (required when `include_zero_ecc` + or `include_params_dict` is True) + 4. The horizon file `Horizons.h5` (optional) + + `Strain_N{extrap_order}.h5` contains the waveform extrapolated to + future null-infinity and corrected for initial center-of-mass + drift. This and `Strain_N{extrap_order}.json` must be provided to load + waveform modes. + + When `include_zero_ecc` or `include_params_dict` is True, + `metadata.txt` is required to obtain the parameters used in the NR + simulation. See more under `get_params_dict_from_sxs_metadata`. + + If `Horizons.h5` is provided, it is used to get a better estimate of + the duration of an orbit from phase data to use it for removing junk + radiation. See more about it under `num_orbits_to_remove_as_junk`. deltaTOverM: float Time step to use for interpolating the waveform modes. The @@ -738,8 +775,16 @@ def load_sxs_catalogformat(**kwargs): include_zero_ecc: bool If True, returns waveform mode (only (2, 2) mode) for the same set of parameters except with eccentricity set to - zero. Requires metadata file (which is provided using - `metadata_path`, see below) to get the binary parameters. + zero. + + When set to True, the function will search for the `metadata.txt` file + in the `data_dir` directory. Typically, the `metadata.txt` file is + located in the same directory as the waveform file within the sxs + catalog. The `metadata.txt` file is essential for extracting binary + parameters and related metadata, as it typically contains crucial + information about the binary parameters and the NR simulation used to + generate the waveform modes. + The zero eccentricity waveform is generated using an approximant provided via `zero_ecc_approximant` (see below). @@ -758,24 +803,24 @@ def load_sxs_catalogformat(**kwargs): Waveform model to generate zero eccentricity waveform when `include_zero_ecc` is True. - metadata_path: str - Path to the sxs metadata file. This file generally can be - found in the same directory as the waveform file and has the - name "metadata.txt". It contains the metadata including binary - parameters along with other information related to the NR - simulation performed to obtain the waveform modes. - Required when `include_zero_ecc` or `include_params_dict` is True. - num_orbits_to_remove_as_junk: float Number of orbits to throw away as junk from the beginning of the NR - data. + data. If the file `Horizons.h5` is located within the `data_dir`, the + orbital phase data contained in it is utilized to estimate the duration + of a single orbit. In cases where this file is not present, the + duration of one orbit is instead derived from the phase of the (2, 2) + mode. It's important to note that the accuracy of this estimate is + compromised due to contamination of the waveform data by junk + radiation. mode_array: 1d array 1d array of modes to load. Should have the format `[(l1, m1), (l2, m2),..]` extrap_order: int - Extrapolation order to use for loading the waveform data. + The extrapolation order determines the filename to search for in order + to locate the strain file. This function will seek a file named + `Strain_N{extrap_order}.h5` in the `data_dir`. Returns ------- @@ -815,46 +860,191 @@ def load_sxs_catalogformat(**kwargs): get_load_waveform_defaults("SXSCatalog"), "SXSCatalog kwargs", "`load_data.get_defaults_for_nr`") - filepath = kwargs["filepath"] - metadata_path = kwargs["metadata_path"] - dt = kwargs["deltaTOverM"] - mode_array = kwargs["mode_array"] - extrap_order = kwargs["extrap_order"] - # check filepath - if filepath is None: - raise Exception("Must provide path to the waveform file. `filepath` " - "can not be None.") - # check metadata_path - if kwargs["include_zero_ecc"] or kwargs["include_params_dict"]: - if metadata_path is None: - raise Exception( - "Must provide path to metadata file `metadata_path` " - "when `include_zero_ecc` or `include_params_dict` is True.\n" - "This is required to get the binary parameters which are " - "used to eavaluate the zero ecc waveform.") - # load modes - modes_dict = {} - data = h5py.File(filepath, "r") - waveform_data = data[f"Extrapolated_N{extrap_order}.dir"] - for idx, mode in enumerate(mode_array): - ell, m = mode - mode_data = waveform_data[f"Y_l{ell}_m{m}.dat"] - # create the time array only once - if idx == 0: - time = mode_data[:, 0] - t = np.arange(time[0], time[-1], dt) - hlm = mode_data[:, 1] + 1j * mode_data[:, 2] - amp_interp = interpolate(t, time, np.abs(hlm)) - phase_interp = interpolate(t, time, -np.unwrap(np.angle(hlm))) - hlm_interp = amp_interp * np.exp(-1j * phase_interp) - modes_dict.update({(ell, m): hlm_interp}) + # check data directory + horizon_file_exists = check_sxs_data_dir("SXSCatalog", **kwargs) + # get the modes + t, modes_dict = get_modes_dict_from_sxs_catalog_format(**kwargs) + # make dataDict and return + # The following actions are performed and the resulting dict is returned: + # - the original modes are cleaned by removing junk radiation + # - shift time axis such that the global amplitude peak occurs at t = 0 + # - add zeroecc data if `include_zero_ecc` is True + # - add params dict if `include_params_dict` is True + # see `make_return_dict_for_sxs_catalog_format` for more details. + return make_return_dict_for_sxs_catalog_format( + t, modes_dict, horizon_file_exists, **kwargs) + + +def load_sxs_catalogformat_old(**kwargs): + """Load waveform modes from sxs catalog in old format. + + This function can be used to load waveform modes from sxs catalog in old + format (prior to 2023) where the waveform file is named as + `rhOverM_Asymptotic_GeometricUnits_CoM.h5`. For loading sxs catalog + waveforms in the new format where the waveform files are named as + `Strain_N{extrap_order}.h5`, see `load_sxs_catalogformat`. + + The allowed kwargs and defaults are the same as in `load_sxs_catalogformat` + except that the waveform file that is to be provided in the `data_dir` + directory is different. See below for more details on the files that should + exist inside `data_dir`. All other args in `kwargs` are the same as in + `load_sxs_catalogformat`. For detailed description of the kwargs see the + docstring under `load_sxs_catalogformat`. + + In the old catalog format, a single waveform file named + `rhOverM_Asymptotic_GeometricUnits_CoM.h5` contains all the extrapolated + waveform modes and for a given `extrap_order`, the corresponding waveform + modes are retrieved from this file. Therefore, in the old format, the + following files are looked for in the `data_dir` directory: + + 1. `rhOverM_Asymptotic_GeometricUnits_CoM.h5` (mandatory). + 2. `metadata.txt` (required when `include_zero_ecc` + or `include_params_dict` is True). For more details, see `data_dir` + under `load_sxs_catalogformat`. + 3. `Horizons.h5` (optional). For more details, see `data_dir` + under `load_sxs_catalogformat`. + """ + kwargs = check_kwargs_and_set_defaults( + kwargs, + get_load_waveform_defaults("SXSCatalog_old"), + "SXSCatalog_old kwargs", + "`load_data.get_defaults_for_nr`") + + # check data directory + horizon_file_exists = check_sxs_data_dir("SXSCatalog_old", **kwargs) + # get the modes + t, modes_dict = get_modes_dict_from_sxs_catalog_old_format(**kwargs) + # make dataDict and return + # The following actions are performed and the resulting dict is returned: + # - the original modes are cleaned by removing junk radiation + # - shift time axis such that peak occurs at t = 0 + # - add zeroecc data if `include_zero_ecc` is True + # - add params dict if `include_params_dict` is True + # see `make_return_dict_for_sxs_catalog_format` for more details. + return make_return_dict_for_sxs_catalog_format( + t, modes_dict, horizon_file_exists, **kwargs) + + +def check_sxs_data_dir(origin, **kwargs): + """Check if the necessary files exist for loading sxs catalog format. + + Depending on the origin, it looks for a set of files needed to extract + the waveform modes, get the parameters of the NR simulation and to + clean the modes by removing junk radiation before returning the modes. + These files are + + - Files to extract the modes + - If origin = "SXSCatalog", i.e., for the format from 2023 onwards, + - `Strain_N{extrap_order}.h5` + - `Strain_N{extrap_order}.json` where `extrap_order` is the + extrapolation order provided in the `kwargs` + - If origin = "SXSCatalog_old", i.e., for the format before 2023, + - `rhOverM_Asymptotic_GeometricUnits_CoM.h5`. + + These files are required to extract the waveform modes successfully. + - `metadata.txt` file to get the parameters of the NR Simulation. + This file is required when `include_zero_ecc` or `include_params_dict` + is True. + - `Horizons.h5` file to estimate the duration of an orbit using the orbital + phase data. This file is optional. If it is not found, we use the phase + of the (2, 2) mode to get the duration of an orbit assuming a phase + change of 4pi occurs over an orbit. However, since the waveform data is + affected by the junk radiation, this estimate may not be very accurate. + + Parameters + ---------- + original : str + Either "SXSCatalog" or "SXSCatalog_old". + kwargs : dict + kwargs for loading the sxs catalog format files. + Returns + ------- + True if `Horizons.h5` file exists else False. + """ + # check data_dir + if kwargs["data_dir"] is None: + raise Exception( + "Must provide path to the directory containing waveform files. " + "`data_dir` can not be None.") + # Check if the data directory exists + if not os.path.exists(kwargs["data_dir"]): + raise FileNotFoundError( + f"Can not find the directory {kwargs['data_dir']}.") + required_files_dict = { + "SXSCatalog": [f"Strain_N{kwargs['extrap_order']}.h5", + f"Strain_N{kwargs['extrap_order']}.json"], + "SXSCatalog_old": ["rhOverM_Asymptotic_GeometricUnits_CoM.h5"]} + message_dict = { + "SXSCatalog": " You should provide the h5 and json file named " + f"`Strain_N{kwargs['extrap_order']}` since `extrap_order` is " + f"{kwargs['extrap_order']}. If you are using the old format, " + "you should provide the `rhOverM_Asymptotic_GeometricUnits_CoM.h5` " + "file.", + "SXSCatalog_old": " You should provide the " + "`rhOverM_Asymptotic_GeometricUnits_CoM.h5` file. " + "If you are using the new format, You should provide the h5 and json " + f"file named `Strain_N{kwargs['extrap_order']}` since `extrap_order` " + f"is {kwargs['extrap_order']}."} + # metadata.txt is required if include_zero_ecc or include_params_dict is + # True + if kwargs["include_zero_ecc"] or kwargs["include_params_dict"]: + for k in required_files_dict: + required_files_dict.update( + {k: np.append(required_files_dict[k], ["metadata.txt"])}) + # Check if all the required files exist + for filename in required_files_dict[origin]: + if not os.path.exists( + os.path.join(kwargs["data_dir"], filename)): + if filename == "metadata.txt": + message = ( + " `metadata.txt` file is required when " + "`include_zero_ecc` or `include_params_dict` " + "is set to True to get the binary parameters of " + "the NR simulation.") + else: + message = message_dict[origin] + raise FileNotFoundError( + f"Can not find `{filename}` in `{kwargs['data_dir']}`." + + message) + # Check if the Horizons.h5 file exists. If it exists we return True, else + # False. + if os.path.exists(os.path.join(kwargs['data_dir'], "Horizons.h5")): + return True + else: + warnings.warn( + f"Can not find `Horizons.h5` in {kwargs['data_dir']}. " + "Phase of the (2, 2) mode will be used to estimate the duration " + "of `num_orbits_to_remove_as_junk` orbits which may not be " + "accurate since the (2, 2) mode phase contains junk radiation " + "in the initial part.") + return False + + +def make_return_dict_for_sxs_catalog_format(t, modes_dict, horizon_file_exits, + **kwargs): + """Make dictionary to return for sxs catalog format. + + This function takes the modes data extracted from the sxs catalog format + files and performs the following list of actions and returns the final + processed data. + + - Remove junk from the begining of the data + - Shift the time axis to align the global peak amplitude to t = 0 + - Add zeroecc data if `include_zero_ecc` is True + - Add params dict if `include_params_dict` is True + """ # remove junk from the begining of the data - t, modes_dict = reomve_junk_from_nr_data( - t, - modes_dict, - kwargs["num_orbits_to_remove_as_junk"]) + if horizon_file_exits: + t, modes_dict = remove_junk_from_sxs_catalogformat_using_horizons_data( + t, modes_dict, kwargs["num_orbits_to_remove_as_junk"], + os.path.join(kwargs["data_dir"], "Horizons.h5")) + else: + t, modes_dict = reomve_junk_from_nr_data( + t, + modes_dict, + kwargs["num_orbits_to_remove_as_junk"]) # get time at peak amplitude to shift the time axis tpeak = peak_time_via_quadratic_fit( t, amplitude_using_all_modes(modes_dict))[0] @@ -862,7 +1052,8 @@ def load_sxs_catalogformat(**kwargs): dataDict = {"t": t - tpeak, "hlm": modes_dict} if kwargs["include_zero_ecc"] or kwargs["include_params_dict"]: - params_dict = get_params_dict_from_sxs_metadata(metadata_path) + params_dict = get_params_dict_from_sxs_metadata( + os.path.join(kwargs["data_dir"], "metadata.txt")) # if include_zero_ecc is True, load zeroecc dataDict if kwargs["include_zero_ecc"]: params_dict_zero_ecc = params_dict.copy() @@ -880,6 +1071,58 @@ def load_sxs_catalogformat(**kwargs): return dataDict +def get_modes_dict_from_sxs_catalog_old_format(**kwargs): + """Get modes from sxs catalog old format files. + + See documentation of `load_sxs_catalogformat` for allowed kwargs and + default values. + """ + # load modes + modes_dict = {} + data = h5py.File(os.path.join( + kwargs["data_dir"], + "rhOverM_Asymptotic_GeometricUnits_CoM.h5"), "r") + waveform_data = data[f"Extrapolated_N{kwargs['extrap_order']}.dir"] + for idx, mode in enumerate(kwargs["mode_array"]): + ell, m = mode + mode_data = waveform_data[f"Y_l{ell}_m{m}.dat"] + # create the time array only once + if idx == 0: + time = mode_data[:, 0] + t = np.arange(time[0], time[-1], kwargs["deltaTOverM"]) + hlm = mode_data[:, 1] + 1j * mode_data[:, 2] + amp_interp = interpolate(t, time, np.abs(hlm)) + phase_interp = interpolate(t, time, -np.unwrap(np.angle(hlm))) + hlm_interp = amp_interp * np.exp(-1j * phase_interp) + modes_dict.update({(ell, m): hlm_interp}) + return t, modes_dict + + +def get_modes_dict_from_sxs_catalog_format(**kwargs): + """Get modes from sxs catalog format files. + + See documentation of `load_sxs_catalogformat` for allowed kwargs and + default values. + """ + # get the waveform object + waveform = sxs.rpdmb.load( + os.path.join(kwargs["data_dir"], f"Strain_N{kwargs['extrap_order']}")) + # get the time + time = waveform.t + # Create a time array with step = dt, to interpolate the waveform + # modes on this uniform time array. + t = np.arange(time[0], time[-1], kwargs["deltaTOverM"]) + modes_dict = {} + for mode in kwargs["mode_array"]: + ell, m = mode + hlm = waveform[:, waveform.index(ell, m)].data + amp_interp = interpolate(t, time, np.abs(hlm)) + phase_interp = interpolate(t, time, -np.unwrap(np.angle(hlm))) + hlm_interp = amp_interp * np.exp(-1j * phase_interp) + modes_dict.update({(ell, m): hlm_interp}) + return t, modes_dict + + def get_params_dict_from_sxs_metadata(metadata_path): """Get binary parameters from sxs metadata file. @@ -899,11 +1142,24 @@ def get_params_dict_from_sxs_metadata(metadata_path): m1 = float(line.split("=")[-1].strip()) if "reference-mass2" in line: m2 = float(line.split("=")[-1].strip()) - # numerical noise can make m1 slightly lesser than m2. Catch this - # whenver it happens - if m1 < m2: - raise Exception(f"SXS metadata gives m1 = {m1} < m2 = {m2}") - params_dict = {"q": m1/m2, + # numerical noise can make m1 slightly lesser than m2. Catch this whenver + # it happens. Typically dq = (1 - q) is very small (dq <~ 1e-7) but for few + # cases it can be dq ~ 1e-4. Therefore, if dq < 5e-4, we treat it as 1, + # otherwise raise exception. + q = m1/m2 + dq = 1 - q + dq_tol = 5e-4 + if dq > 0: + # if dq < dq_tol, treat it q as 1. + if dq < dq_tol: + warnings.warn( + f"SXS metadata gives m1 = {m1} < m2 = {m2} but " + f"1 - (m1/m2) = {dq} < {dq_tol}. Setting q = m1/m2 = 1.") + q = 1.0 + else: + raise Exception(f"SXS metadata gives m1 = {m1} < m2 = {m2} -> " + f"1 - (m1/m2) = {dq} > {dq_tol}.") + params_dict = {"q": q, "chi1": chi1, "chi2": chi2} return params_dict @@ -1030,6 +1286,104 @@ def reomve_junk_from_nr_data(t, modes_dict, num_orbits_to_remove_as_junk): return t_clean, modes_dict_clean +def remove_junk_from_sxs_catalogformat_using_horizons_data( + t, modes_dict, num_orbits_to_remove_as_junk, horizon_filepath): + """Remove first `num_orbits_to_remove_as_junk` orbits as junk. + + Paramters + --------- + t: array-like + 1d array of times associated with the waveform modes. + + modes_dict: dict + Dictionary containing waveform modes. + + num_orbits_to_remove_as_junk: float + Number of orbits to remove from the start of the waveform modes. + + horizon_filepath: str + Path to the `Horizons.h5` file. This file typically can be found in the + same directory where the waveform files are located in the SXS catalog. + + Returns + ------- + t_clean: array-like + Time array corresponding to clean NR data. + + modes_dict_clean: dict + modes_dict with `num_orbits_to_remove_as_junk` orbits removed from the + begining of modes array. + """ + num_orbits_duration = get_num_orbits_duration_from_horizon_data( + horizon_filepath, num_orbits_to_remove_as_junk) + + # The time array in the `Horizons.h5` file is the time coordinate of the NR + # simulation, which starts at t = 0. In contrast, the time array in the + # waveform file is related to retarded time, shifted back to the origin, + # and begins at t < 0, typically around -100M or so. Although they have + # different starting points, we can roughly associate the t = 0 point in + # both files. + + # Therefore, after obtaining the duration `delta_t` for + # `num_orbits_to_remove_as_junk` number of orbits, when we truncate the + # waveform, we retain only the part corresponding to t > delta_t, not t > + # t[0] + delta_t. This is because t[0] is located at around -100M, and + # starting the truncation there would be closer to the unwanted junk than + # desired. + + # NOTE: The following line assumes that the time array has not been shifted + # in anyway and is the original time array contained in the waveform file. + idx_junk = np.argmin(np.abs(t - num_orbits_duration)) + t_clean = t[idx_junk:] + modes_dict_clean = {} + for key in modes_dict: + modes_dict_clean[key] = modes_dict[key][idx_junk:] + + return t_clean, modes_dict_clean + + +def get_num_orbits_duration_from_horizon_data(horizon_filepath, num_orbits): + """Get the duration of `num_orbits` from phase data in `Horizons.h5`. + + Parameters + ---------- + horizon_filepath: str + Path to the `Horizons.h5` file. This file typically can be found in the + same directory where the waveform files are located. + + num_orbits: float + Number orbits from the start of the simulation. This function estimates + the duration of `num_orbits` from orbital phase which is obtained from + the coordinates of the black holes stored in the `Horizons.h5` file. + + Returns + ------- + num_obits_duration : float + Duration of first `num_orbits`. + """ + horizons_data = h5py.File(horizon_filepath, "r") + xA_data = horizons_data["AhA.dir"]["CoordCenterInertial.dat"] + xB_data = horizons_data["AhB.dir"]["CoordCenterInertial.dat"] + time = xA_data[:, 0] + separion_vec = xA_data[:, 1:] - xB_data[:, 1:] + # We will assume the system to be non-precessing so that the motion + # is restricted in the x-y plane and the z-coordinate is effectively zero. + # Check if it is true, i.e., z-coordinate remains very small + if any(np.abs(separion_vec[:, 2]) > 1e-5): + raise Exception( + "The system seems to be precessing. Cannot get the orbital " + "phase by assuming the motion is restricted in the x-y plane.") + # Get the orbital phase + phase_orb = np.unwrap(np.arctan2(separion_vec[:, 1], separion_vec[:, 0])) + # Find the duration of first num_orbits assuming that the orbital phase + # changes by 2pi over one orbit + idx_at_num_obits_from_start = np.argmin( + np.abs(phase_orb - (phase_orb[0] + num_orbits * 2 * np.pi))) + num_obits_duration = (time[idx_at_num_obits_from_start] + - time[0]) + return num_obits_duration + + def load_h22_from_EOBfile(EOB_file): """Load data from EOB files.""" fp = h5py.File(EOB_file, "r") diff --git a/setup.py b/setup.py index 8b168db1..e3c66413 100644 --- a/setup.py +++ b/setup.py @@ -30,6 +30,7 @@ def get_version(): 'scipy', 'h5py', 'lalsuite', + 'sxs' ], classifiers=[ "Intended Audience :: Science/Research",