diff --git a/examples/One_filter.ipynb b/examples/One_filter.ipynb index 1d1add3..79678ae 100644 --- a/examples/One_filter.ipynb +++ b/examples/One_filter.ipynb @@ -62,7 +62,7 @@ "data": { "image/png": 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\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -95,8 +95,9 @@ "bfs.append(basis_functions.Zenith_shadow_mask_basis_function(nside=nside, shadow_minutes=60., max_alt=76.))\n", "bfs.append(basis_functions.Moon_avoidance_basis_function(nside=nside, moon_distance=30.))\n", "bfs.append(basis_functions.Clouded_out_basis_function())\n", + "bfs.append(basis_functions.Planet_mask_basis_function(nside=nside))\n", "# Assign a weight to each basis function\n", - "weights = np.array([3., 0.3, 1., 0., 0., 0.])\n" + "weights = np.array([3., 0.3, 1., 0., 0., 0., 0])\n" ] }, { @@ -121,7 +122,8 @@ "name": "stderr", "output_type": "stream", "text": [ - "WARNING: ErfaWarning: ERFA function \"d2dtf\" yielded 1 of \"dubious year (Note 5)\" [astropy._erfa.core]\n" + "WARNING: ErfaWarning: ERFA function \"d2dtf\" yielded 1 of \"dubious year (Note 5)\" [astropy._erfa.core]\n", + "WARNING: ErfaWarning: ERFA function \"utctai\" yielded 1 of \"dubious year (Note 3)\" [astropy._erfa.core]\n" ] } ], @@ -139,9 +141,10 @@ "name": "stderr", "output_type": "stream", "text": [ + "WARNING: ErfaWarning: ERFA function \"utctai\" yielded 1 of \"dubious year (Note 3)\" [astropy._erfa.core]\n", "/Users/yoachim/gitRepos/sims_skybrightness_pre/python/lsst/sims/skybrightness_pre/SkyModelPre.py:377: UserWarning: Requested MJD between sunrise and sunset, returning closest maps\n", " warnings.warn('Requested MJD between sunrise and sunset, returning closest maps')\n", - "/Users/yoachim/gitRepos/sims_featureScheduler/python/lsst/sims/featureScheduler/modelObservatory/model_observatory.py:279: RuntimeWarning: invalid value encountered in less\n", + "/Users/yoachim/gitRepos/sims_featureScheduler/python/lsst/sims/featureScheduler/modelObservatory/model_observatory.py:475: RuntimeWarning: invalid value encountered in less\n", " slewtimes[np.where(slewtimes < 0)] = np.nan\n" ] }, @@ -149,10 +152,11 @@ "name": "stdout", "output_type": "stream", "text": [ - "progress = 120.1%Skipped 0 observations\n", + "progress = 120.05%Skipped 0 observations\n", "Flushed 0 observations from queue for being stale\n", - "Completed 2535 observations\n", - "ran in 1 min = 0.0 hours\n" + "Completed 2040 observations\n", + "ran in 0 min = 0.0 hours\n", + "Writing results to None\n" ] } ], @@ -203,9 +207,9 @@ }, { "data": { - "image/png": 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\n", 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\n", 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\n", + "image/png": 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\n", 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w8XVP63DL6gL3O7k46abC1e7xsaEuM8cwlmD3nauHWQwN+8M0zkzUzi7lEgZi12VJ2CxxL6MQL5hCyxMhB8esZ0TeDV23r3auq3IRh5ZQNSaRz9GeMt+nHp9YS72e+aFZDI3zwqyH54q5ko3lmCA0zoNkbUJgeXKJ5l4GVBczF3xqzGDj9BhAtmZ1PKECNYDrw20g3LcE5ygUlZVu5SAusVj0Wm6z+dp15wSiWMsEonFemEA8F8yVbCzDRKFxHmTr3J0l41hbS6s7yKeU3LSJRJTsNck1MAhAEt+cclvODcYTJXdIvD7T9REyx8jzKS5y+VyC7YQ1NlcWKLGW1Tw0zgu7P10uVsfwmmF/cMZ54YXA5Dbe+fcp4rqCUR3ChGiS27Xuab9PS4bh+ykzH7HVkO9LiUV1PS3DWrvuUk1CDK9F1hHUIF2nUKv3qFku+WtlNQ+NC8DqIF4e5kq+BpgYNM4bNeM4RamVXap7hzKezC7mm40eGzjvyFyrXEepOZjKfM7WMWT7gzVFPOR8nNgc1yFlDY2ohR+JfVrrPD6ulr1JPC++FsHa6hkXhonERZgr2dAxUWhcOEu+ReTcVmTqLml1lxn3AioShVDcrzT/m/aJVnckM3vV9nWJ/X4scR3a9cRzXfBcIjd4xk2uimnpNo5OKOdn3ocGget55642hlHA7md3B7MYHjD2R2RcBIushaX6hDLBJBAscbZx9lhIAQfV9Tsd4uoskBqa57d237AjPrG8Hicscdo3XpTRnEsugbAaknATR633FDfygsxlK4ZtXBRmOazCspKNARODxkWykyiU21ocYCFRJWpRF5WoKVjQcgJQuGmn0yiXde77pPtZCrmUmzmTiUyynE1ChE6UWuflXMyVxbABE4fGxWAiMYm5kg0ThcZdRqtPmHKnSldsxt1IjdOFnB9ve9VFPE/Q9onrEo9Vl7OyTKPMO8s+7VqC61ILZcvt2W2uvi4lCyjPfgYKYr9+belSzhZAN4wdsfve+WMWwwPA/jCMi+ZFP5TpebykDE1qzFvtklZG6OMZd3Gq77E8hAs2WUvwIpCJJADQ82QZJL7cStZEmbAytc7zJykdL94cra+yNiYTV8S1yDZ6Vu/QuCjMehhgFsPrSP/YS00UGhcCt+5kRaFkSdJCcJxiaRSCMplwESSN8MdpK+BkHIviGM9wvZX7NMteQy5XclE3ghYmUZTYU7ZGhhcl13fx2PRCpn8cuNbBkZvKGlm9Q+OisHvi+WB1DPcU+/AbF80kDhfEAgYszCjOuY+LUPn4SLPm3K5aSRqtHI2ckzy5i4/XWuFlrjdqn6fUMJzMjf5UouSO7AYTjGvr5aipeXiW99QwdqR/7KVmPTwD5kreM0wQGhdJ1PM4VxYlV59Qjhdi06JWdnJ6UKplvDYhcPglyhW8CNTcuNr1+GuSX4/avqZx6IUg0vYlaxYKXN8k+y1P+6JjRGs8xa2cbbeXy172buOES7rYg5nDXNDmUjbuBtdYIJor+TpgotC4m1yKKFTQRCE/LucyBkLLYCpBo66WYDzWjOdu2DVo+xadp+nFnLKalOdKtspLkTtHziUdXUj973VzKRt3A7tvLseE4Z5gH27jbuBjwbKiULIgU1UtQxOISG08s1wuuxkFd7FYQxN+WvFrv1+KsaZx6j7t+NT5tO1hn7jmxONaSkJxel/8eZeIwVIxbMO4y9j9cxnmSr7i2AfauBtE1puc8shZCwuWRN7HN9Xv2CUylONkiziBI2iFxy1vjuL5onXecI7wGvw8AJNrmIu/6bkk3Lh8vz9eO0eK2CU8v6BRzOF0TPhcY7exXDNd8zC6PRTWStY8zGQ8m0vZuJtcI9fyzq5kE4ZXFBOExt0iKwrldsmFzMvLJOrtaWsVW7xViEKPc6S4Y/XYQD9/mBNOcI4iC2Dfx/s0tK4qfR+Xwol6IFcUuF4ag+gmQcr3xeNVZW12FYaAiUPjSnENBKLFGBqGcQ6U6qTwmiq59nalGLelBar58FjaJTneyAJ8/rhZHHFxl4o7bNt4HW1f5Oal2KWcOzaIoSzEXxIBTbssBrFcMPwMMYTZN0Jup9e1eEPDuDqYxfAKYVZC425T7ULOCYKStU92PUFuPDOmFJ8udfrQBFHD3NlyjnN60sh50msWPOGSlhnNGq6XLuNQqUfPomCNXORyjqyM4lw7uJQBsxwal8OBWg/NYrjvmCg07jaL4gprWZgNm00eKVgZS6JwSPwILXJe9C1J/FCvTbEy1u5r2149r5btnFoD0GI0Z5VF5OLEm4XZ4NnzyaSg2jtJKRTBMC4Bu/+GmMXwkrEPpHEZLBKFUhBwq08mIzUSHlEyCY8xFHMzWbjD/D64Di5aNKtfKdM31Qpv1/Z42nravj4TL0gU10KUc4Zt7QLmOb7dHk3zd7ccluofBhbAUjxiosWeWQ2Ny+SArIdmMdxHTBQaV4IGYexgMJawypFbWKakwtpXSSqGcF67Yo0K62NNHUJtny9lI/fr6+nX4f/XBG6N6A3OK2Iyo3MmssM1FsWKLolHZFi8oXGZ2H3ZhOGlYR8+47LI3nhzN+9ca7ycWFkqCjMZx4EoHAVqXNamlMBRFmjS5cwfl/ZppOZpYrERwle7lnBtPdlFztEHysctEY7JhKTUDw/tOELcn9sw7iLX/f5svZLvMtf9A2dcLpEoTP00PJM1MD2Vol69YpzcNCw7lkSnFeeVrtqw3qCvQdgn58/WOnlN8fOQpW6W7tPn8HPGc0rH8DZ8U01I5s7la07lcfyY6Kkcv09iXJQwCvsxI3Qpy1jEqcXeeAL/vGTvZcO4RPy9+oBcy9WYxfAuYqLQuEyqRaFkgUuw1MlkOp50UciGlePyqkFz34bjuiUuXiOfQKKLyWUWuxpX+i7HDPPY41JGOBJz5WBhrejYBUXPU5jV0LgKXMf7tglDw7iO7PqXX3Ahz/PiGMRs7NpS9/LSOLsdahvK60r3Wc7HCabm1tQsLJ8rfNy2BYFais9cVKdwgYu5VhyK85k4NIy7j2UlXzDX8deGcfU4NxdyInYwJyg0wZCL+9OSI6TLNLeWF4GpjiZaK7ym6aOMYI+2znns8/t7UX9Qa3Unu6b0ojWeXFfPZmaPRTZ0LzOVe5peV6doyVQbvShrWR6byESOxsRH5v1fbJnKxtVgj1zLlpVsGIbOhbiQz1AEeqko9MdoGbma65evlRub1+iD+bvWJ6zdJ/c3ov6gRvy852uumR+dX7rVc5bIBXeJrEtZkhvb+ZZmGMZZMWF4gZi10LhyXFRc4ZK5uaQSCsezl6gUgZYu41zh6GE771pN0ZJDKwtXK/u0eMmo8PR4HTmBrF6D0mIvXHOZez43lhWHZ3EpV46ZS9m4KlyH+7q5ki+A6/DBMfaDwFqYtd5kXMiZuMKsC5lc1qWsFq3m2xlBN62vPNaOH9ZIu4u160mhCTuJdM0CwxeW3Cv39QU3s3quqcWeG7ebaDx0Q6eLVKvXnWpvx8dKx02ZyH7bXMrG/nPF3crmSjYMI6S6UPAZStNEMWUSh6qfcDlRqM6vyFAOt0PX666isFUsjJr7WJsnrYnaeRtxfbEFNHZNS3e6doycnyISvYrgi6iZI02nQTedwnGGYdxVzGJ4jpil0LgqLIorlC3vUmQyXidr4FTIOW1xzAoTxT2qZQvL8Xxyii4C+V4u2npHSszd7l83USKJsn6U/CHWIG1OobWdtBwGySeO4lZ643q9o0jsBXOdOHfix8FsTVSH4+MqLYdmNTSuGlfUcmgWw8vGRKFxZVniQs6RsAwFLuJSWFvjskZE5+KizTl4VxC9XVxFrJ60qFXWGKxNPpEWPM2aGAlR9n/q270UH6mND4JQX7F3NIvPVDKK9tIo71HRkqxh9Q2NPeXQ7v8mDM+BQ/tQGEaE/6ZQrEkB3kg0CYz01Jz8cq4s8oqWwVJBZwCrCtewTwxJ1TZMnUuucZZrBcqdYGp6RCfnF9zB0rp4FgsqekpaGZNYfUPjinNIOsBa4p2RQ/owGPvPzvUKPf6GnYoBWyoI/HTSs1X9Hq0rSck97McHa2Fs9cu5ioHZcufrBtYIvrZx6MXTkPva8VrlvFXboxMt6sJ1huvp+iYQgdyF7Pfz161nNQm92PMJJk3To+vyNQ+9KPRr+/OVooyIHFynf8BkC72AxuWFYUqkEq5gAJFhzPSPvfSqupUXYRbDM2Ci0LjS5P66czdmKeAKFV1cT4MIyFmdHOC69LjrG7hMBm4um1gKmCmBI7FWoySHyHIx2nkaCv9P7ZNj/HEr4iU1y9uq7aLrzZFyKXu3seaOD1z2mqhOfT6motfje567tlzMgAw/6BH3UC5gVkPjKnIIusCE4Y4cwptvHBbVWcgezaWXtCQiKxAnt6QonSLJiUNgEIipzibSqsfHU3FzhDiGMOcGTVkKpfBrqG6fdqxcv6Z+oRaXmFoPiF8P/ppqXVHmsSZbIsd1VBU/WHqfh0kILMpV8w1jD9h3fWBZyTuw72+6cZgkheGC4sQg1CWksHm52DaSWcaFDOUwm9lFvX/DsixahnI/nUKztNW4hhuC6hoGYnFa0/IutY+7leU5tbWGY0SmsZgrRR8/vuuapHu475tkJnIxuxiIXcq1mchyXvCE0vUMJZapbFxFLtmtbFnJdwsThcZVZLG1ENBFIVBODqidh3J2at9TVKCZ03WxoJrWloLO90hOnCvODh5mplzDDYWiULuGVCaynKvtk+fXLItL0YR21zVBnKFkshAqmcjB+5e4PjXOUM5NfVbkLp/cJC3AKc92T6BdMqAN4y6wr3rBhOEC9vVNNg6bF/+fr0kP1v6Fa/fWyuxR15HuOvTWsikeLb1Gzr3ZdbELebbEDdu1pVtybuQaYaa2s1Ni9NQC12qZmvx2KkFlGke+BI0UhNy6q8Z1+gSUjtAX3f6UTD6ZqM1ArpkXZFHDBKGxF+yjbjBhWMk+vrnG9UG9SZb+ulPWGYm/aRfEnReIqfiy3DjRHN/WuzCpgQiB1UsTdzwubjJojnX5NEuhtAS2Y/cQv3bb9GibHg254B+A6DHfx0Vibv783FxkWSxZKbk4dMoaTeOyr5cUhIHe6gguo7G9yJ8sifK96Gj+VxJutfOAOR6RxSU6du4XvyXz48gwLpl90w8WY1jBvr2pxvWBWwtdKjZwyc+/2oLXmS4oAIbyNEoXEz8GzOVrghjFQOD00fgk3Np4bLo0JpxaxVJYssrVFLj2x9XEE0prHpGLYgUlnSKWgnjBvonD88ZxLwilFbbbttlzcgth1FUlZz30c3uxrVGTlDKtW95P4lzv+5LvqF/fMO4ydznmcGeTutUxLGCi0LiqZF3IHE2fpXRJdZYypef4XAVeP8+LxMCVOWw4AI0iNL1VaxgPy8l0XQOiWSACszDzLecCy5qS0czHZW3DWlI1EPk+Lhi5RdKLQ1k/cBiPE1SIHLbdLO4IoXbq+9Cl7OMNt5s2uC6IY5LPK6h/mKhrmAohCFrmZcY4tT/1xydurmRj39iXOofmSs5gotC4qlSLwhS1+keL/UolFmRcza5rsvFofcGFmSLlLpV9hWtYKgpzx2n7NGGquZ5TOEfqujm38XYrYwxHEdrHGcyBaFfeq8A6693AKcgVSxzNJ0O1KKSOhn8JUXjmvwvDuGD2QVeYMDSMA8FnaFZbUmpv3EB9EkFBLKRcklFyiRh3PaEXFqzplIqIaYS7lq/fu1i4pfoXa4klqTjC0j5tLe2c4XXFcwJLp+KSJnLYbptIFFZBiSxjTo07uCQagZ0EoWEYF4/FGCrsg6I3ri8vfvNrFv+kS8YfpqhZvxhn6OZ1EtYwauMyLl4VNo025mMM41IwnqNV3DmkCeIOQ8G2a4xhSw4dd//6+oQ8xhB1X1Qda2vntwEZVzg/Xm/jKCDngO0YR6h9rffMDS3HI8GeizGsdSlrVP5oCX7c1LyAyg+c9/0Rizc0rjYX7Fbe+ZeUWQwNYx/x1r7KG/Liem81lsScO9GLnB5JUQiMgiNRK091d/pTj+ctt7HLbiZ4AAAgAElEQVTzrlP9q05zOWtnlPtkNxW5nTtWW7/GghmsoZxvy5JLZFKOfP5B2ZpSWRo5LqeXPoM81KCA+jlNHdZjmdXbMIwqTBgKzFpoXGVe/GYlhqoU78W4EFdzJBwSJUy066nxSiZcmynRuO0abLsmsvxp4jAlwEh57P/nIlAThH5fbo3S09ayltvGYdO12HRzMolnu20UkTz8nxLFRBlROLr9s6KxooRRsRSSP91FhUAYxhXmquoNcyUzruqbZBiAEIU1N9ySq1dQ7W6uabFXOnfrkqKQVlrixnjqtov2AcBKuo/H57IahZ9ey1DsS8T8cauiX8/v0zKKuSDdZjKPG+GK9my6sKyMc4Q1swbyNbquUdvg8XhM+ax6GXvIJhRb22XL1mBRxnG1EOzKU1Lr/uqXfvuygw3jErggl/LOrmQThiMmCo194cVvfk21JQbAIoFYJQ4J6a8cLq4K56VVZpzcFH8IhCKwabtIVMr6hrI13PFqG2xLYZgShZ7e0SQK+T45Rx637RXLpTiOi0O/BrcYbrsmsiD2jgJLaq5mIT+7twAGZWt8Lkgq6cQvUOMyTjGusSic4QyCkGPi0NgHLkAcmjA8CyYKjX3jU9/01cG2WxoUsqtYzAXg5ZI25PmksOPjMk5wpY/NRa5F8slRqCj8+NFobZSZvsdtOH/V9FHsodaxBIiLWaf2cWEnrZDAKPTEvq4fXOJ8G8C0T9Yk9PUKPX5ca23Hj3UdpX9odJT/pq2JG6xNTFkgBJfWMDRxaOwD5ywOLfnEMK4LUhQCAPXDv2oWxiVm8WVHcvP4+ZRpUyybFJekCxvAF7mO4+q223ZKxODjm66N4u3aplfdubn6grKYtdynzfPWSa2UjZYAs962gSj0bIOSPWGM4RJIxhDm4kK1l78imaS6xEyHalG4OIkKsHhEw1jItReGZi009glNFHIuSiBW35BLczLjuexXTRwSBpdpN4lAMV7IHNYST7i7WKs9qCHXkb2L+XpyO+h2UsiwThXtnkRhlGxDSVEdxRly1G4m/OBzshJepCC0jGVjD7kqeuRau5KvyptgGDW85AdmUbjYdbz0mApXs6txRyfa5annkMKOJaEEVrrWxSVgfIzhSncv3zgKYwybpscxS1jhomyl9FfWuo7UxBjKfd4d7PdLsbfu2qhPslazsO8pWbMw6oksYgiTX/kll3KG83YXX4RV8Ff/uLmTjf3gnFzK5ko2jOuEtwwusQ4uml9jRaxxFSZqFE7nyLmXE1Yt16UtYZ1StiXFWgooRq6vskcmo9R0SmlF/CIfW4/ZyDwGctO1i2oW9l1bLAEUjQfvg/LanVUU9qi2Du5UtqbyM/2p/0fe2m4YxsC1FYZmLTQOhQsTiLVu5hpxmMuizhyfEofB+Qv9gZux/t+8PT/59bbNFqeejqlsZ1czTztu3aVFKiBiJTfxXKKwswnH9ZTOOFbdxm4ey9YxrBSFQNZ2saiV444uYv+Zf8n3mzg0rj6XrU9iH8U14LJfdMNYykv+4Wtjt6xAE3s597Gcn5zLb/68zR1fSwiEwM3sh/yNX3Mv++Mj9/KYJAFCI+ob9h2Na9OUoexFzXbbYLXqg7I1m65F0/TB5bfNIMpkZrLP2j1i+2t6G2v7ZA1Dv+ama6fEl6O2C8SrVpSaC0KeAa0VACcC+q1437g47zPZxjkxLj8z5EDBuulDeX/Ac+/C409hMYXGgdA/9tKLbpmX5NpaDA1jX3jJP3zt8GBBazHPEmticS5vc1dcK2dpYs9hgVszSphgx3ZdoyZfcOuhtxRuFJett9hJ93ANjVBYDVy0T+NIiNFJMCou7u22jWozAqIrDI9t3Oqvf5iJLE/SLBKFi8exo6u4gsVJV4ZhJLl2wtCshcZBsFAkLhWI5fMjfdP2uqMkAkrlbeSyNCRQaG7RnCt1u22izieyuwgwFJo+Fft7R2FMoBB9/rEmBOW8FVVcg/Ka8HhCLg6jJBMAIJcVhUkKLuOsQKsQcNWlaxa6iqkjE4TGwXJZeuVaZSWbKDT2jclauITa1nYjNdnKdRnIyMaSZdcodUk5UtrkBVnLfMBFLfKIgKMxM1le4o2jbZRcct/RJtg+arqooDSRqypwLY+7sz2KnsutdbjPu5K9eOSdTbbbBk64mh2ERZW9nNk4TU1E+uvNCK4akVebqUzsrSo19EmuqdWRVET2e7/sDVXXZBhXiR1dypaVXMJEobGP7JJ9vIu7uTinKgO5vEaSBQW3PW7bwG0bNQtXy9rdbFbYbOKwammlO2p61ZqnFbZObafGtq6JXMgn21XUjWXTtSJhZo6d1EhZA13X6LeHLemi0HMXRCF1oSgsrVctNHcpgm0YV5i7rV+ujcXQhKGxb7z0H5SthdnkEvEXkrTYKbtdPkk2v56nsEaVBVEKMNlfmXcoWblg20uDFWuR513Kq9b/P48drzocRZbDdfY5AHqLO41NH74gm67FCatR6AUqr1vorY2bTavWH+xYQkrQ5k4TkA55MZgRXiVRVisEq1go6tQfNpklzGpo7CM7WA3NYmgYh0SNKARGa+JCq8t5WXOKaxVq12WPT1nAtgTnxY1MNkkc43sI8zjDbdcEohAI+xl7pJiTJWlqy9ZIdzKAqBVf2zi1mLXPRpaWURljOLmyU67jrIXw4kRhtWXwPBOrtN8c1gnFMKq4FsLQrIXGvlFZo3ku/yFuvqXjlwjE8pzCOhUCUz+OklmyLiFyUq3eZPJJCm7Bm7KER3GYE4S5sjVeFPLkkxNFAJ5uVtE6smahF4dq4gkyCSZbStsPdhSFNZ+h8xaES0MrprkmCI09527qmIMXhiYKjX2FXPwvQBF/k0CszO4csjrzBYb9mjnLT9Ea2SFrQcweq5VRoTnG0G97gpIsI5tNO/0jGgTW6eZo+sdj/E62q8iaJ1k1fVT78Ljton2y/M2K+kh8dj3hlMU+enE4XGvYd7nbtmH2NQ3/+m0zi2L+QZGxhP6hltXuDbGZ97LG6lz6rCTPr63VY5EYDP5e2Hx+lpf+/R0SugzjCnC39MzBC0PD2DdelrpxuV2TUbCgHtzZrYhncTFnj1NEIFDujkIFa6G0JnpLobTqaXGEXvhp9Q+9wOPJJqfdKohjPBkFoXRrx5ZCp1oJcwk4Sddx6gfAtj7BQz2+xmVcaR1c3M1H++Ek57DHL/t7Jg4NI4UJQ8PYU2puhgGVArEmq7M2BnEXssIysdtt4q+yvqOgzIuHiy4vCk+UbGXPUTM/0d5RbAVUtqVL+KjtcNoxS2FGrG4Sxaw5pX7IyUSSC3hPLksQJi3pFccYhpHmoLOSzY1s7DMv+97RquE1z4I/1Yok2ZmaOoYVtRFLmcz5LOTEMbIFH7+rRxnKw3+Nz0Jmr0G76iIxdeNGWKvQC7x7j+f9XsDds9oEc7zw40Wse0W19o4CQehL0NzeDHULeamc081RJGTXayFYxze2V4SwJo6ny8u5fhOWxZK7uAR1VFGX0D+oWG/prapQgB0AfuW/tAxlY/+ozFC2rGTDOFgWZB57llhGaqw01J890aDoXhY42YJPPqFUAsomVplaVxRe01BzBUurHp+juZW17idcFAKD5dCLQo2SpRDkVFGYno+kKKQt7SQKq047Hp/7DAafl9y8foEoXNg5xTCMmIMVhmYtNPaZyVrI2CW+cKlALM6pTDxIjmfr6GVOnLq2qXSNmK7EHXZKazmt6PWd9VEkCjulYGSpDR4A3Gi3iQsf8Ekvp0wsTsWsN23kku43cU9oIGEtBJLiOfc+nOn9rcxUrrI4Lvms7yAGqQM+7e9arKGxf1y0vjlIV7KJQmPf4cKwVtgli11rBaz1PI70mplryLqIHcF5l692HdIdXDOWOt9RXBS7OerjeDxyOFKKXt8YW+bxDOX7j9dRp5L7V/mi196lzK2Kp90qsBR6lzKPbfRt8NbrVo0F2K6Z1XMcXyIIzyIGc5y1I860Tu5zLk6xpI0eUBaYv/wV5lI29o+CS9lcyYZxSEwlP5YE1u9S361iXim2MSkMxjt2VpDk3Jmp41Ln2ygxfpsG3VopXK0UvT7NJKDkaMQL2SDuhCIth1JsetZe/PE2ept2KtI9QW6xlTBFVhTmDZ7nIgqrrNqJep3+eHXdXTL4DcPAbt+EhmFcGJ/23cy9lbqp5VrhiRtnrm1etL4yN7jxOn09LhA0C6IXeSnr4jQurISp/ZM4lOttx8J+R8IVvG7Q3ghfmO2mxfGNeV7TOGy6Fm0zq6FN32DTN7jvaEg+udFusR1fgBX1kyhsqEc/7m+ox/G4f92vcGtzDGCoc7juWtxZ6zGGUR9kctjy5BPC8Pp7QUguNJctFNjRfl7SMCMIi67i8SXNGgD78Hy5dWpZksgCmJXQMFIcnMXQ3MjGPhOIwhypmCqt6PXCWK2i67CmaHYmqWGXxIYq6yGfopWvWccJKOvTQaTxpA/v3j1ehepIWv22QiE3TCh6vCj0yALY03WMApBfR6ck0SSthB2pgmipNZa2iih0fJyKiSLT48R4OdFpeWxhbSLL4vUN4wpzUXrn4IShYewzNQWmA5b0Sq5wrRFz2dWslZ1TSFJQ9+dcywtFUXDsOO7FIZ/uxSFnLYpJb5Ss5uOm4GdFLCZvrUOhuGr6qCRN07hJFPKuJ05xiaMjVRzv4qLPWgkz6wEVn6va0IUOdWWZFiabaJ/9T/8uSzwxDI2DSj4xa6Gxz3z6G1+XHEvVEUzFV2Xdx5m5uViv0pq5RJVdaxzOiSuhKHFHCVWgJKzQsZg7Psl2XMN3RrlxY1BGPBP4GfecRhnKD91zSz834/Y2FICn3SoQhdtueLFOmFvZ1zDcrFfRa9iv2/h1TXR8ISXWEsgIwh0EPKhC6NXGsCYHl60VrkvVAbrv+XPmUjb2m0QSiiWfGMYhU+pnHM+vtNI4PaA/tWZxPJUIUDhHs9S6tSDxQrW0+XV48slpHHL99MmN5LGev/Ob3hJsf4vYBoC1sDiu2j4QhZ6Ntx6yp6G5wDVRSBtSReFO1sOKskRZzioK2XnqLeLL/kb8MYZhhJgwNIw9Y7oBnmMBa2C8AdfEf+UsTCWX4mWLQ+IxfOlsZc+q7XDzdLb0veFl34+/+ht/aNqWotDzXS95k35tI7dPj6Ni1hvZ5YQSovAc2LW4dfD+avGshWx66hbEGS4UhEvY5RjDuC4cjCvZ3MjGPvPy74jdyDnXrXbjLbatY+5Y17p8EoH34EpdknMTL3BrE4A+rswy0Y8uYTnWJ+ooqK7lRB1E8tnJTBesjreRULv/3tNg+/s+63ujtR6UhbDF+B/7pT8VHfPk7Xunx31PUYyjc0B/qgjChBBWrYR+n0w8ztYy5BtirBA/qOE/bqrAW7C+XK8ZhWtV20dyodBNHPPur3p9xWKGcXVR3MnmSjaMfUUThcACd/A0v96VRl16LhdjNa68xe36xv+bbvinkbIepvI9NOth0qLIL8KvK0Rh0zjcYZbCb37Fm/F494xgjhSFLRGORTXtv/NpPxBs/zcv/rFgO7ISLiQVT6jOrRWF5zXmMuP8M1b5+W46mkRhielv54yt/QzjOmLC0DD2gCWutWF+vaus5mZbbnWXHs8JQGTEQ5MQPZo4JAc0LJaQfHFtRRw6xRq3UeILNbw41ESh5CPdYAn04lCKwulaZds7zX2sCd+1XjomEItcgGXcuxGF2NPz+MEwxTEWTH+7xNYm0V4DK11jGAHmSjaMK8Ir3vC6RW3tJnZohcfZxS0drJNyISdcxTnXc+C6ZuNRgetxsz+Kz+GO9Aua3M3exTm6lKUwu3HvJth+/Su/P9h+oDnB89u5LZ4Uhbd6hyf70D38we5ZOOlnC+Sjm0/At/zC7wjmbE+EOHUAeOIM94iu4+LUDdvHtZa0vjoKhbp8tZLCijJiL+M25teSFXjj+0AV5YcAxIKu4hjq0zr03V9t7mRjfzFXssBEoXEo7FR8V6vplmsTVpWBXLDiVBaq1kRnyRIFILr+lBWs2cTnSGbnCqubO20jUfhVn/uTwfZf/qx/hse2z5q2H2hOgnHNUggAz2pmcfnB7lnB2KObT1CPqSUShQhFYbBf65mc+Gw0XSGWMNsNJf+5qnEDB5+p3O+SBcXdp7Ur/q5e/u3pclGGcdU5Tx10EBZDE4bGIfCKNyRuTD4RpPAzLrLM1VoStXmqNU+vKejP24tahIEVT0uuLSS4aJZFwpyYIq8lshQ6wB27YBsA3I1YITT3bCNR+CnHHwm2X3r8eHTcC1ezAGwA3OzDa/ilzXOC7ZP+OBCG3/ILvyO2FALAqeY6bqI3OeVup21sdUsll9AW0dwp0WMr3m5+nBR64tpSPy4CC2IXn1s7V627tzZTX1oNzVpoHALCani9LYaGcR1YnoyizE3FWNW0wlMsPvxGnLMIReVRRIKLfj6o1ztZwcTdXbOaadY1UkTXH3zFL0T7PrB5aHp8T7PBB7YPBeMPNWt5CB5o5vN9oHtGZGH88PaBYPuPvvznojWSohAInnPKSji9zmf8za8m+kydcZRzs2vLlryprJ05lb7JlL+Z5u5gaV/692QY14W9F4ZmLTQOgVf8nby1UCJvarkb56IiwaWb9ZbO7DKMnpNjbkoxlkpcSWYtp8ShdDcr4utD61m0yZ7HHi8OvSi8NVoIa75IP7B+dnnSSRNfq1KgW3uezUavTZjqfxzsl6971m2cy24uhBhUtrI704+fEgsTuQxjXzgvPbT3wtAwDoZe+VfBVJi6EGvIiwvLG2NUoqZgTZnEZmK82fJ4MWbl2hCaLTGrH1tzGwqS0BoZ+0UaNj+YqwjB5jRtOfxDv/lnp30fWj8QiMIPbB4KYgwB4In+3mBbfonedCt8gJW2eaA5wYe3z5y2j2iLf79+Fv79elj3T7zynfgTr3znIArlczxtItHf8nnjmHcpy7kNz6MRr3UkQEerLm3DTGFys+BvuriwOrfsBbhwPPl5duEayc9czTyt1NIOf1OGcZ0xYWgYl0zSWogd3V0LBGXRTZerRVdxvpz1SFr9/HU0W8Vixa2K4/a8Tnw9XAj6104Vh3fyX4FHiSf/vlEsctcx50HmQn7f+hODsUfWDwX9mAHgw+vQxQw3iMLpOsfprfIcpPWQXOI1xJiso7yOKQssML6HtaVuFNHIrys6vvazvfCHklkEDWN39loYmhvZOGQiy8wSkdjnrS9ybrEVXqe4I+V4KqM4U8MwsB5WoFq6UlbLU4rGmpP4XG95x6unxx0afPA0zhr+tfWQRPJAcyd7fY+ynsgPNieRKAyuZXyDI1EIoFGsh20gdofHU/JJRReblHvYv/6RcHNpt3B1HcNCprCKjD+9ILcy/3v6jG+zjGTjMDgPXbTXwtAw9p3P+NbXBTeoqptbpevNE62duln3GYEn3YJ8feGiDMbZcU2uCLaMj3OzW5NbxKgfrF7eRTpZA8d9PB+ExnWleGpOaBCI7HV7yztejY59HX7w9BMCgXhEHT4oyszIWoUA8Px2foLvWT83GHtk/RAeWYcJLFwU/u5X/SJ+96t+cRaFzNLZnIZWu2ajWw9pM/zjz63ZENp16BoGdFFO8n0Wn4GqXsiZ9zlwO2csiPxzVtN3OVtmx8V/A9m/A8O45pgwNIwryNIbl7w5ZpNRaoL/SzXtSp1QMtaiopuvqgmuiJ87I5//ql/Bh05iy53kPafPBwA8u7kNAHhkm++Ycl9zmh3fippCHz4J2+5p7u8UtOD1aDIZ4sm2g4X3W/tBIMdLSVIlFodWuPhaUpjV0DAGTBgaxlXGYdHNrfamWXuDLY5XioXILZ4SH9KCNVkEFetYT+H+jMu0FS5k6gitEl8oxeGvnTwnmuNFoUcTh9xamBKHHzx5EMAsDr0o/KxXvX++TiWZSBPEWqFv9InXbZtopbewJzK3LubIjleWrgESn8XU30Xt34xj/5sF0TAAYL8LXFuMoXFIfMa3li0WQdHoSmMSOVbsuvTnrq3Jzym0VCBGXLqlHfExJUawX8XrRecahUE/FrLmBZR70TKPOkJ/w7FtsLnhuq/+gvcE2+u+xSff9wQAYNsPF/3y+x+dxu8ZTXOvuufX8cmrWIX+3Okg+J7o7wMAvOv2bwzGf+32ULbmiNXhefzOAzhm27/0Uy8OjnFN6Cb3P+mbNc2Fx/1cEoJwnEtbpeg5MZHOk50pFNjBcaI1nvY5pB76Z2k6KLGfKuZoh/ni5TVt8WQddHHML/4FK3Zt7DdjoWsrcG0Y+8xn/u3XVcVKye3aTg/V7reC5aRUO1GLT8xZlkot2DTLYrOhqKtGEIc4Jkx4N2zOGvWbfssjkfsWAB65/WCw/e5bgwv5noK/1otCAHiwuR2JQo3H78Qu7CiOc0Hmtxp7mLTQ6vuzdQxzY6XPWYVlbrJml+a5hX8Dibm1xxvGdSEfIGMYxl1Hu7Hm2uHl5mticpiQXpf4zdvpc3jRadcAMk4tdd2BqOBGrTHb2CnfSLRF+BOWiQ93hDlJYxSH3GrZ3h72eeshdYDPD3nhf/TINO/DJ8/As47DjONfeeoT8eJnfHTa/vmbvxGf/8xfnbY/98YNfKSbn9Bz2vvxe+/b4J/fHpJS3nbz5UFZml966nm4j7XQ2/QtPnZ637S97lv86js+ZX7e3fBcvNDjLQfbOxQ8z6GwNFSaNfs89KP1kVsD/fsgRR1vXZeJec1mF1M4XrQuKp9Xf0x0Hm2tcX7ymjI2FLMUGsaAWQwN45L5zL9d4ULesRRHzbyzzslasxYWFJ6shH28X50vDHjUzS5XLpSa03zHFgD40O108snp6H/+6ac+FQDwZ5/1GIBBDPL/Jb1QQre3cybzB2+FhbM/fnIvHnrVh4J93PrnO8q0iiU0lYiTqmWokWqfmC10XrDsFeMPF5SiqZ2ndcrJzafeRKFhcEwYGsYlcxGCb8navO1csjRI7obrCsIhVbqEPxdxXu1cqmDsE8kYcRvjKMP3yZN7psenYwKJF4e3t8cAgPc9XW5jp4nCt918+fRYikNgFoV3tnHJmxxqgWvl+bdr0UXGu/8z70Vpv1ZXM8d5jC9NpipSIXYN47pjySeGcYl81t9MWwu5G7bUnUTOj46RAfeptf1abXhMFLDPz6XM69v4xktu2K+tSf08lksOyK2vJav4UoNB8skNh2e+6iPB3HtYEsmt9RGe+4ynp+2n1zfwaQ/Olrw3vvAdqOHrHv9sAMDPfGxwDz9wNHRDeeTmg7j/OFSuJyKz+cl3zFnN3r3uk5sDF7LyGmhJI802fO29S9W/LqlEHz5X7pfHOJoFfaCFE8dr8wLhSol5fJ2Ma3iJCxoA/t+vMauhcRhY8olhHCiLrYMVRYH52sW1MrFjpRIjKeuit05q16ftT1kq5T7qdQuZZk1b3Qq/L083cWDj408PCSlPr28AAH75iXQHkxxeFEpurY+nx0/cvhcn67TlkLazKATm173Zxu9Rq1lKNTe8S79/ucST4Lq4NbEL35NUP+VcbctcUkswb4Fb2ayChrEcE4aGccWhHum2danM4D4/x6971hiw2tp3uTqG1Tf6CudGbUzd7bf/BgCzKHzyzj3RHC8OObXWQgD4a899V7TvkZthtvMTt++N5jx9cgPtq56Yttt1LITV56ns468tX0PO9cI6V9w62a0k0QpxGs9lMWcEqnp+iVK7cUlfZX7MZ/0NK3BtGIAJQ8O4VKI2XRoi47e6Hd54wytaTvy8TBuz6WYrb8TMeqgKE60Vno9328axgD75hIQ1rF2HAs+vq4mZ1clsOfPjfNsjLYWPP/EAbjHL3a07N4Lxd3zgRXjFT31Z/CQreffjz8PN27MAffRjYfLJR5+8H0+fzOdsX/WEbgHchGKrPYmtpfx1DI5lr1cgGjNlazRhPb3nqUQW3vpOGSsJuODHUCIpxs/LnUtbt+b8hnGdMWFoGFeISSTukFlZNS/TtqxmrWQvZTYOQL3hRpZMv7/SdQmkRUoNUmTdOYndt0/fDi2HH3pysBp+5KaedVzirS//YXX/k0/HlkJJ8/CD8T7x/KcM7Bo3rNLDWLrg+XmS1sOcBbBg2atNOClxUVn6ZjU0DBOGhnFpfPY3529CtVYQAFNmcNVNNdPeLDendlzGm3FS+1MlajQR0p4o62qxhLfjOa3oTufF4clpKBK5tdCLw11568t/GI98LBZ5AHD75Hg83/D/6elgxdREoXw+yeLU8rXoM3MrXfqlrGZtTCYX5TKctfOn5lSHHnS7CUjDuO5YgWvDuCTe9bVDFmQkEBNlQXLt4rT58454XWkN0rKMiSWDBBmtiGPDgixnn/iRyHjVMlf5DbxfCRGxnZ/DlHixGTKOZS2/ZjtnIgPMVc3O1Z4Cdz5/zjq+c3IEYuMf+8hQsubG/cPBp08NIvHeBxVFWuBFP/yV0+N7HhqO//Djz8Lx/bP58smP34/VPbOaOz1dwdsTmzXQH8/JJ/55e+snb+/HBWHTze+Zf6+nIteJ5J8ohnAsUK2OyeNSx8jPFS9qrrXVE3OWzKN+2FXdFm9vC3IYxsViFkPDuGTe9bWvv7gC1pWWxNKcJmMFzGW45sZS+6XLN5WxKi2Htdm07anDMx6eXcPb0xU2J/Fv5NNbx5MoPC9Obg7rrW8NFsLNnUHFbplbe3saXksjrJwp1PaBlfumNVIhAMpYTZxrsj5iZTxgTbHqRVbEBbURDeO6YsLQMC6Zz/nG2WJYlYzCmILvF4i/YgyhYqEEUHRX+2SEVMJBLolB4pMkgsxmJdGk2cTxcM0GWN0OL749dWhPw33PePj+QIRtTlZYfzzOTp7G/90D2Py7dHcUyae/MbQErx8J4xTXHw3PtT1dTddz85Un83Wvh38A0K4djm7Nz8Mnh/jX1ovDZjMk4XCCxBNuaV2L15llKCffMyWrmY+lPgPJhBT22cqJTfn3oQpZXsS6y59X8q6/aLUMDSo2KBEAACAASURBVMNcyYZxlch1l6hxkXk3bau7Cyf8uomfhvym61plvEuP+XG1D3M3HqNYn5xStLrZzu5Sbz3i+6Z5G4f+iKbHHC+qAETi0J20oHvSioFut3D3LcgEGpGiMOKk/JtcXit/Hp5m49CvSOxjj8fXqtkk3scFiT9AxvqrZawXjpncwf49L32++4o54zxKzVNc0IAJQsPgmMXQMPaFBSU2gpIcQDqeqnatpTd9MZYthpxIbOCFnCV6Jm2FkGJu6o9/briIuxOqTbo5bNPtFquPLGtd57nx2HBcc3tQZc2T+m9xd9IG53/2wzeiRJkUzdYFj6kLn/dkTeSvubD68dc6V8swvOhxv/YZqsxCTn7+RImmqhqeC8vPLLEkGsZ1woShYVwin/PXXxcIvqSrNlPIlyrEHyXm+SQSeZNMxZNFYy5/g9X2y+SUYCyViSysZ7R1kxAMhJEQh0e33CSMvCiUtROlKMNpi/Yjx0jx2d/0Onz2N80WwS/4C68Jxl/19a8Ntu99RIhKZi10t1u4k9mU5+6s8OyHw7jGZj3/86xuu+C5NlsXvA4eEvtS72OqDiUQhgfw964RLl9uoeZjsuVi0g3Mk55Sn6naGoaK5X06pyIgP+evW5kaw/CYMDSMK0KuvEfx2HOs/5a9GZfivzSx1ydu3hiserqgUdYZ51FGCPJ4u1TxZUAprH06fxW2N0fr3rjv+IlGLTQNzKLQ/+9F4f2PetE6zLvxsWZck7B6ahaCzWmD5k76a1heZzC20R97pCgEEFkTczUza6xpkes/l6SEeGxpmSR/zlxsoZxniSaGsQwThoZxhSnd3FI3w9wcPy+iQpjywP4UWffyguNqLGCpBAm57+jpcHt1oqx9mv86lOKQWw1raE7LAXK0IXz0lfOLlOp8ktsGwtfJi0EpCnNIwT2vle92klyPCUbtM1ASlP64iyh+nbomw7iukHN7W8zJ9Y+99LKvwTDOjc/93xJCQ4q/VD1Dp8+BY4kHqTkQdQVlPbvxXMF+djONEkf4PL4uFydKHbq+HRNIhIjx18bdnf0qX3rF1/wDwsLW1Idrf+jzxHHr+cKObhLcaph//ER4wfd+2OHodqwo7jynGa+PcPoQO28HrJ85WxK394vnuJq3n/1vm0CAdcdAu5kf1zAl7WzDbSB8H/1rPuyfB1zD9ncu2I7qE04TE/vFmGuYkOT7U59BMaZ9dkpzktfF+Pn/0ZJQjP2ned57gfRfQPn487sUwzDOQlU5mVzWcm7tkovOVbiYM+OadW8Jc+ya5v5MnTPebli5Fv5/io+8Mpyzuh1/l9I2/f26uU//CpWZwtpzWN2a5zSbdGaxZOr7LC2HyuuxBPkeegGdsjRSFye6TGSylIdj89dSZRmsqKPI15v+7a0txDDuDiYMDeMKUlOvLZjblef6+nK52LGhhl36hj+JAc3N3DtQH8YMUu+mY6L4tsS1tGs3JztksmUDIZgRQbzuHzBb3j7yynCeF4V+3aObs1jTrIUeKQ65KLzxsfD5HT9FSi3GYX47xhp+0tuB1QlzJ28cjsVzkMJXex1Kr9m0PovzjDKXu/C9BAbxru0HRhd28vPn5sSPRDJVIPQSIRBRXGRu3kL38yv/qiWhGIYJQ8O4yoi4v+pyHIW55HSxFszpnJrAMFyLmy1KSjiKZvmriSMLzx/vqyldc3Q7/ZxWY3ZzW4jT49Y8yfGTLnDn3rgZXuiNJ3iqLnD8FBsUl3b8ZPgV/ElvZ9dw0qNVYv2kZW91R5sT/i8f1/bCjpNLnLo/+VlyBcsiKmMfd4kvLCxrySmGoWPC0DD2BX+jKwnERBxgipT4m8YnMaC4ecU+fpPVxOGwX7sGqB0zNGFT4yL1gsrXMiy5uts7lOzmkaI7nkWhf67bewZBGYjDBWgxixz/PFqlVM88Rzsu3pfsOpPIhE6J+nzSSUYQsh8XSfhnPTc1ZYlMzDUxaBhpTBgaxhXglX8lrGdYVayXzUvdYMm56QacuxF7q06zdXo2cufSmcoJlzD1aSthUBuPt2erFII8q9jX8JMiSYqs41t9MOcFD/d4wcPhHNqG1kLqw4zm45tp5SFFEHdhHz+FSbT49ZsxdtG7sF/w8Da47tgSGl6rVr9Rex1q3My5kkLae5ire9luHJrOJazG6bFhndGS7T+vieTIYE5OXKb+pizO0DCS7HVLvOZ574VlJhuHDL/puUSfL3/znOa6MKNUXbOQr0a9yPCsHfMt7wTtOt9aj6O1vGtP4+ObrdIOLhJF8RwAWN2ZlcwLHu7x2Ofpvf2ObqWf61k4ukno7p23vSj0eNHWnjp0N+IL8OPdEd+nJ+7Er1t8Pc0W6FPvT6Ztomx7mAsVoB7Zz13ReohKtzNbK/U3I/m3f8mykY3DYMxIPtsa53AdhmHcBapcb26em1+rMqklMZ6LF8wVTAYQWUJVi2LC9TmMhdZCjlr3b+um2EL1mDvhBUSWz3G6tBYeP+2wvRF+hR7fGp6c79vscTRbHrXXdHU7H/Q3uZCVNn8p1ILiSpu9RW7mTfr9TX4eSp+zruzqz1kZw3OFfyMpiyOfWyNIDeM6sdcWQ8M4BH7zN7wWJHxbJYtfspYhI1ULMF6Pb+jj1M+WpzCOEEAfW6V4dikf4/v7dhYTatxhlzieWcF4jb6pjEuij7IXa+2Y8etamkThCx5e44NfeDy5daWlLRCFDXD81Ly9vdFgdTq/KFwUHj3tsH6AbwPb+4bH7R3gee88UZ8zv+5m49Ddw0rbJMrS9Mx6uDpx6I7m56JBHdCK5+nfh8B6WCjxEqw/fhaJxftFtTZZTcqcNXZyUyNt4Z4+i8EfBKL5/m+hqs6hYVxz9t5ieB5mU8O4aiyxZFRlVrq6eYs7mvTzWNFSWKDmeK2syrBfbGvZvIluHp5P+dHbwfbRrfkxFzer2y5wdcvYP54Vrblna+Cubk6zdWjXPdtmY5t4nz+Gk4slLD2W6yTrLe5oifbnKyUYyTVSwnWIczWLoHE9OC89tPfC0DAOmV1qsdXMK46nbrQV/XO1Y7Rz56yENeeQ4kHGn5XExdHTyypAS8usjIMEgO44/kpdZcrn5K6HC9n2RO8pLcvZpJ5zTQHyklic5sk6ghwlaSoQcJVt85LXWFmOprafsmEYMXvdEs8/sAQU4xD4zd/w2mA7uom5cCxyIYv5xF15Lt4/wd3EvCTOdIBYtw8f94qLOXA985t90B4PSZrOze3xEqLGi6J+RYGIkoKgPe3hxrXa035KRlmx2MLmdH78wS+8Hyvm4ZXC7ujpefvGU/PJXAN0LObw9IHwhdveN28/91/fnB539x8F1uHtvSvQdli3u2d4EZtt6E7moQbeZewtY/75URcm3vQrmue0uh+Vv2cyPIC3seOfPdewsAH+mRxPESUr8TkyIUW0x5tdxeH+4jlybmIXz/nZ//kNmQMMYz8QFsPr3RLP3MnGIfBzf/kNiwrunoslsdIVnCp4nD1vwiKoW6Zc9LjWBRhlInNL22l8wSXr2SoM+8Nzf+JD89idqksCAByxwtPP/fFHp8ef9BMfC+a1t/J9+4o1GDdxYoaWvZsqHyNJWW1z3XJS+7OflzOENRTPIX8kFSzvr/r61+oDhrEnnKcOOghhaBiHRtQSr1AGRN74NJdZaS1yFQKRn2P837sAU67hVO1DiSZSVqcujHdL1CzMicPhfC4QiUc3Q58rt9g9/yeewPN/4gkAwAv+2ePztYyi0FsfVycO3fHw2FvKBotk6GbmonC6vtuDGCQXvle0dTi6OQtF/rzaEzclo/jnorcaFDUelfeGZ/ny/7Ws51SNypTQUuseOnbcFmlRKOsNKuOpcwevY2behJhvGMaACUPD2BOmG13BkBa1ztNEYiFWcGmrMC4Sc+McrQTJ0IdXX6NY0kSWoRHWwlSHl/aOHpjnxaEGL7DtxWGJF/zIB5Nj7W39Glrm4vbuZQ1e4FproxfNlwkqyd7Y7HHF5yGXqLJraSQAdQXfa9ZR5pooNIwQE4aGsW9U3iRr5u2apZy7oWquzdxaOXfmPEdsK+3zhv0s1rDj1rbRwsbHZbZu79De1t26z/uRXw+2n/nWd6vzJM/9v8PjuBu5EeeS11Nypa8ynVDmNfh4+P903oT1Nte5RDtPZCVkYQopmoJg5Ouo8JjYcw7BMIzrysHUMbQuKMa+81v+8mvDaGGH/E83YT1M1TNMJX9Mu5j7WVsjV+cwX3bEjckpYXIEECc/+GQHfq3tqZvctl70yPIv1AHtek4oadbzMcO4ksnLkk5WTw/ibDqm74FmeBHo1hhsOHbPeM6/GESeuzlUqn7mW9+Np37Py3H/P/nXAIA7X/x5AIAHf/gXAQBP/IHPGI5fb4DjI7hVCzpdw904Hl+g6NIm+GvVnnbza3jao7/RKOV6XFA/UXfrOzSIX3dJu3ZzncgxCWiqAxh1OnFwLOuDd0OhDrq1umD11hJOknNQ6EyjfT6tfqFxYJx3noVZDA3jKjNaQqoC8StKyZTKfdR0qfDzwuOWdZBIxbLF+6QVLXTj6tdYGE9cZ3NbaZsCAJWVG+79oXfi/h+fLYleIAIYxKE//+maPWbxhGuWJb2uN2nVlaLJv965MkEpy6XfL1/PbJzqOViwa0oZReEUBf7N11tWsmF4DsZiaBgHRUK0AeXevdQNFplccWVfqzDdNSV9PHVIWl000ZWLX5NWQl6mZp6nrDn2QG4TAqpGHCa7yzCrYYn73/Jvwh2bDXB0pE9OXcvpBu7GcEyz7tAfjyVq1j364wZw8/MFBrd4fzRcn9ofeQu4Y7atikIHAoJyNqkscrX39cYlrMsu3dNbxr0qpYuSVu8FbuJaqAd+5q+YIDQMyUFZDK1sjbHP1AbDV2VcYo77ys3zY2obOXZ8dNyYDUud6E2bua6U8NASUGrKrwTHbN0URwgM7uWpv/Bpr1o025P5STdPrwML0+RGBkB3Tid38jCZhn/T9ijk7rknvOYbx3Cnc3Ni4lbDzRZ0umVj7FrWFSYxf1wQMzn8G9YYrXldmMHdrnvFCqu93on3S8sG7tIW49xntZglz49NFVyv/FuIsvwtxtA4EC5C9xyUMDSMQ6FUeiY1tzQvO56pVZgVlwvchjV1DNPXly9RM5yzUPOPZyAvLe4vLWEpi+MmTCpJicMU3CLcBO3v5h7Zzab8hmsC8Cws7niTCS/IXcviDigZatYyDCPk4IShWQ2NQ2KJhWOJtTE53uXFVWpMrXWXiTWrKbaszuEdTrZuLtAtrGLT/FL8nRSHPUB3ErGGANytW/pAI/ytQhxixcalm1pxvdKGxRsWRKBWhqdkYZ3WPov1MBtLmBaEJVE4r6GtW/+3YILQOHQuSu8cnDA0jH2lFO+0q9usNEcfH6w9KatcznqoCUSebMILKmsihCPnaAWd49687FzMdTq1vZOiJWM5pDun4Y52Fnj9nRPQ0RCmTQ3Bbbdw28EiSffcALbMOincyNPj0+0kAmm9DVzKUhySc2i2PZqxniG3JtKWufY7h57VVmxE+SD/mjbCzbykM0pOKEbFxtn5NIqfxc7/YNHH5RpLQjEMw4gxYWgYV4if+StvqA6IPy9L4jCes+Iksk8XupdLIiOVGSu7mAxzlmUeR27VRL3CHO7O2PqkDa2DXhwmr8Uno2jisI2th0tiDHP4Lina/ugaC4I8NW9eM7E/V0RdE/lBN5J0sfN5zrK/ATn3877OWuEZhuQghaG5k419JxksnykxU2clTMd9+bF0weNEfbzEOZd0NpH7WlGSRmuDVxpvT7jFrQONlsHGJ514wXvCLXhpNzLHnZymB7lw3G7htuzJpSyHG10B8f3EXMqT1VCIvGbTj/+4wppFYrMJ6x2SUii8tuB17vNW+qyULNUlV3SthdEsg8ahcpE652DL1VjBa+PQ8CVmgHRZj3luphwLZnewLA0zjSfKlADDDV8rmZO6AacsT3J9XpIFGEULc/NSNz/vueB1WLJmddLln/fShJMRd3ICEAVuZyKCG7fddgtazV+nbrMdLIlHx+FCq8xXLos15GVraNPBHfnHPdxRM7jPfRHqjUN3o1FjEalzcCslhlHvwFe09MqC1/Lz48VgqlB6uhxN2QJcSsIC0hZNyTv/mpWpMfaXizZ+HaTF0DAOnbpYKlFKRhFFuUSAXFxXykWYiyPT1lfXqOj1WzrffN5CmZs7aZcynawRJYYoiSI+69htQ7XlmEUwsBqy/cHjTC9kDS4EpShU3bQY31N2ysB6uMAarF5PoexM8rhCglBN4fRSUgu/FhOFhpHnoIWhuZSNfaU+kD7vegvmZErF7JKoknIXJuPTxBr8ur04iERCP/zjpXTa01AQzWv007pBYoaMN/Qu5THRw28HHUlOmEtZiEHuRiaiYFyKwySbLZyPL5TicNvDEQWu45RLGWBW1PF1d0q7Qf8vLGjtJhe8fN2TtSj7ukzm3BrTNWXOMf9LZcHPiTbpHyOO/TOXsnEY3A1dc9DC0DAOgUD4ZfvHlkUikHe31SSqSJYIA9WKxa2arGB2LsGkWI4lyEzuovnSerqri7k/DWMN6caNcEJGKFLKirgAbylMtq1LWONSr1+pUHW0/gIL8XDe/OfvPOoXLm3PaBhGiAlDw9gTaoXfMDe+gfL4rpryH0vHagso112/EG4FN2vVmp2bE08kp+tk2Rp3cgqQ+Kps0/0GI6sh3661KI4EVkP2GlDHrKaJloFqqaGkizmTlLTAGphNbjpDUev6MjQmCA3jrBy8MDR3srGPVLuHq0rRlN3EyQzSlJBIiFTtfM0mXiM+rkLYbfsglq49Fe7VzgGdA3k3cu/QnAohxsWfc7EYdC50IwcX0MDxrGUuDonC5JPtNixkLcXhWPB6sho2TZil3OmuYykOeWIJbXq4hgJB2B81oG0P2vZxwhAVhOL4j7umqdNrWKZEGV9HPwZV7e5K4zXlmMySaOw7d0vPHLwwBEwcGvtLrph0OK/WopIez1ltUjf3JSyuPbiDZTE7d52w1mXcyG69RrL1HQCSlsOuMi2WuZG5S3mpOPRjMu5wON6pltaU6z8Vb8jXU/cn3cb5HzbpsbofOyUsrtA4JO6mjrkWwtAw9hlH53szrInRSo4t6oRRyAhOJZyIa+FWQj3+rSAONatgSiTWMFoCfTYytW0kEOk4LlMzZSaLkjWubQJBSQviDZOCMNHFJOnuz8WusvWixJaFojBfR/M8PrsmCA3jrBxsHUPDOER4LUNgcMOlasbxx30bj+fqwk0JIH28vncnyjqE1CESGFHHkbFWIReFvqahF5euCY+T11Cs0eizjLnbNScE1xVdUBqCu32HbWd+UzORN7XIG8Wg23azy3nbhT2U2bmm6+46uFbUMMTw3NyqYfMc+htt8Lr1KwqEYM/WdRS+xrLWYeCOFpnMHC0DGpDvF5svXramC9/L6LPGBV7iLQ/WzyZnpccMw5i5NhZDcycb+8RPf+O346e/8dur5tZYSMrZnnlLjrpf7YuczijWkyHy5+M1DYNCyyK+UJasyZHqMgIAdJqpa8ja17n1Oogx5AkndHwcWgCPj4A+cU5uzQyshuwx38+STmjbp+P3tn06Yzi5X38/PPL9i2IPC+9ltF4p67xgCF4SPmGi0Nhn7rZ+uTbCEDBxaOwfXiDWB9mn5zRdOQifeheISG/B8WumMlGD/7m1TxEbzdoN9Qn5PlGbUK+rJ65ZS2jhc7TkEolsUcetV2uWaDK5jdPZyW67DTOSU/GG222QjBKUreGdVaQ49O/FKA6duBafZELb2bI47B+scpqIpM4BRLog7Id/ap3DbnYxUxdbcGtqFMZj6UQVUHjsWRNSDGNfuAzdcq2EIWDi0Nh/qiwlmWxQOUfimkIiSk2soyYGS8cIax8XIw23lPGYQ17ImruON7rYCki5kDNuagDAJjwuV9Sajo/mjb4Daa5jCHHYLVM01PWBJXFe04EyiSTJz8YoCAFEd4iSVXFpHcTcMR5fgN2TasdoQtA4NC5Lr1iMoWHsKdONsKBjijF5Y0kS7eac6ousnWNeLzGpRyA0Sn1tdUuUIiAcwtdAZjdvOgTdS5yD1touYFMRd1jDZgsc8TI2TBxut0DLklRk3GLTBOViZFwhAFUQDnPzbmS9f/JoiTxK2At6TP2Zo/hS9ppr1sMUWgyrp67FXcV7CeBffXNdWIZhGNfQYgiY1dDYP3JB+Lx9WNpiM465ea2w4HW6JqLPZuU3au1c0t2oWgmDpJj4WnltQm0Obd2UNBO4rLfCoiifh09I8UkosvOJkglMXnCsNwA14EWuiQhENGUmT/uPjuE226BPMjbb4V8j1FTbJsvWcKth8nmyOa5tklZi14ZuZJ5M0owlbfy6PROFTedm62EvYwrDfxLtvZWt+5a6mvm60/oUJtSEc8ySaOwvl6lTrqUwBEwcGvvFO/5WXZyh5yyut106SORq33GhorfO26F+oZiSjJmscSlLThMFrgFEHVAyuETZGbcVSiolDvn+jDhU3ciFWNJc6ZrcmC482bHbslsYUKyKO7qol84xjH3gsvXJtRWGhrHPlG6CrqmMRcy6+co32SoroTym1kXI2eUY8dxy2chJRPygtBAGVsCmhZPZyAkicSgpuEdTghBIZ2Z7y2Cuv3FQ3iYqRZMRfJnC2NN4Jhs6R90PIflLoSL+wTAMlWsdY9g8773oH3vpZV+GYeyMdw97ktbBzJw549gpBYzDMiQEb/FJF6iO2qgpMY6BW3o7rxkcQ3NsHYA4C3m0ADoKzzU9TpR8ATC4dqd5wrLn1/MWxobCuMWmAfoevU9eES5i13VTwWv+eCpZ07RDnGHXzVnNPBt528EdxbUOtRhDfz1cDPbH8/VQ14fhlTxbuXfo22YOLZC1DMXr3YvyNNNjNi2oeZixPAcxiZSISVQ+y77Yu3ryxDl+8lu+IznHMK4al20tBMxieCXeBMOoocqCl8kmnufo66RKmshEgwgtVqzUGznROzfYrnT9ynm1xy2iEfGEMlHEhRfPrYWu64IElCRcvPLHfSLzmsUGSnIWxWIfbuUz0Le6+JaU2+qVXMbpsWg8EyJhLmVjH7kqeuTaC0PD2Cdq46iGmoX6mGtoiiNLZYTK5IJdxGG0ZkEcqkkz3JLWzXUKg0LP3DI4CqWsOMy1nOMlbKQ7Ura9y5W1kRZKvs2Pq+2tzHCrJikI0Z+PIJSW45rjS5+BlCAsxUP6Y7MuZ1cWlYZh1GHCEFdHpRtGLUEhX3bTDIQe77GcuOcO2aHxjTlug+fPO8xTLUKFjGPtmGYt7uZOuIO3LvYW9koNvh2thIEbWdQ1dJvNJA6dH/Mu4rH4dSAOXQ+4Ho23Fo6ij7y1kLfK68Xz9mKu6+bn0nWziExYDd1qcGv7f+6Iu5HHwtbjexEVvSZKijKe4Uyd/GyMLn5/HK97yNdIrO1/ZNAWweeShxuQ0z+X4fqJOFr2lpgb2dgXrpIOMWE4cpXeFMNYwtSdpDKzs8YyQx2KLclqSAkO7bom1HZ6vfo4sBby5JKq1ngZy2Ew8WIsh67vo7VKTDGGnUsm5BQLm2eSRPzxnH6lxJ32enbxcACy1kPajqJQQXNDhzGkCTEoz2Flaow94qrpD3IXEY9zd7iQC7dkFGNf+G2v+6op9ovfBAM3qmMWnsAty6YkrIPqekD+pl9hJZzmsKGpyDYXfcH4WHyZKMy63fZzqzi/nygQhkGru1TSybYLrHJOFrheb+C/K4NWeV03dz7xyTKrwWJIbQMczbGG1DbAahWIQWqaUBzyYthtM8cyju3vnBCS7kY7F6Y+DuMYfU3CuXB1G435cZnUormSgVgkeoukfxzgl0xYBYfzsM8bhfvnjcTxpMwRl/Avv80shsbV5gJF4c6p+WYxFFw15W4YOXI15wCM7uR6K2GpdMhw0sQ6Zwz4j6xcWicWKQoBoAeS7fCWIBNKPKMbmZQSKEE7POcmUQgALtXaLhdXyF3G/Piuj0Qh9enkE7C+yRpUGq+wLpdqFpYsh0BeFJ7VAm6i0LjqXFW9YcLQMA4AH5MFxOU/pjkpF56a3cluum6BaITuDvTXtlg8yvkLM5Unq+CC80bWQr5uoT6eq00m0TKQ27qvY+p7kIgnnNj2eTd677KvRckNDZRrFtZQm2jCrdneWnge5zcMI40JQ4Xmee+9skreMDxvf/13RvsmQadYAGXQf9BezOkJBvP2eKxfVx6v3OhbkVhSG28YoYlDKRAVwRi5wHO1Cz3SarhlbmgMbuRAHBLNMYiy5R0QCkBqglZ3yXn97BLnnVC8IAyPc/M/npTi3cg+8aRtVEHo28oFGcmJmEKZdOTdyn5f7rMg2zYGY4kEqHBOKAi5q1km0VgHFOOqc9U1hglDw9hjaqx4qTmRZZGk2AtjF6PSNpXdJYqtzIo1DyuzCKQQ3CpWOQ3ZhaSi7V3Ocugy2cjnxrbLdoMphg9UjtfULMyR6ok8nadzwV0o+EFSYamm7dlDGAzDCDFhmOEqK3rDAICHv+M7q9y8S1zBnslK2McWn2zZGn5eKfJSVqvSvkKNw/miyyKBSu3ogFgcNhQmnQDCGigsrLk6hkzoBmVruAAWnVAmth2w7eBEuz131E4Wxciq6NcZi17nhHZctmh5PUNeJzNHNnNajokYxFxms2FcZfZBV1zrlng1WNs8Y1/QsoldQ8NNlWf4Rq5ZedwsCn3P5Wkqy0IFhuzVGnEY1Kjr3VBHT+wLxJASL0mbbhJgQSHrVGZy9qJoOJ8QiS4ocN2E+72bue+npBNqWX9k3/2EmqGWYd9Px9BqFbbA4+fse5DPXvaibdUGxwOIrjUQgL14vkxYuaMmEIM+A3l6H1n6t3Qj83mpDOR+FX4GAjcvq3k4HM/G5Kn6hNiH+MyyA/m53v6GOLTCMK4S+yAKAbMYVrEvb6ZxzUkkkUjU2nN8nBXG1qyET2bUWQAAH/BJREFU0fxEaZPSdcQLxbsamWFcW16rZp608ol4QmyEhTC1TK4WoWa980kmqRZ4JTJWwVx9Q09NDB5tB/FenLeD1RgQorBU95D/EFEE/y7WcMO42+yTjjCLYSVmOTSuKqE1ZRZ+jihMKgmshspCzqmikVt9puPVXsdndyvDxVajyOLoxSKvV9gLC9qWzUmJrmQCCgG8L7K8xK4frImjhdBtt4HIHKyI/VC30F+Dp+vC7OOuY9ZCZlHs+mFe38N566FG18MdrYSFkNVJ7PvAmhjXK2RJKQ0Fxa+1JJQaeFs9NUxg2wPsx4T8zM2fzfxnbOjtPTx++DvNWmhcXfZJFAJmMVzEvr25xvXgbW9847xRUbcQUBJJ/OFTiZp8lqdmJSxZIlVLll+3JDprE1CiixIiMxFfGNQjBAbhx+MMNdc0H1cslLyOoUvEGKqU3ODHR8Ma2VjBjFXRz2G9p7MULJDD+cpxh75uYs7CnO1WYp1MjD1kH3WDCcOF7OObbFxPfA3CyVUn7se7ZBnz/rn+HIvKhHQubsmmWZU6FxZfTlg4p/matXAaO1vWqtuEnU3SE5XzpNzMXtS1rUhACQWkW/Hex2PiCBecrFNKKflkWCN8/5JPhXB+bmn5XvLzsEQV3ulG9vw2UWjsI/uqF6wl3o6YW9m4avz2P/uVahsyLbkk2OY3dpFYos4vlZdJCQUmJuV1UdfDtU3Y2YR/N03H9tG+aD+v/cdFojbHt7njFsN1WODabbdhuzw27rab8FqbNog5pKNV6GY+WoWWRpZdHLTH88esRAs8P99fz1EYDRQUve4cwFzHsiB275NQfLtB5uKOrHp+u3OBGxgILcVagopMMnEtzZ+hJuFSZu/9tN//14drvu27mcXcMK4IV0AUWku8u80VeNMNI2a0DgYuOXljzn1d8Fg+b13ain+lZJSSSzlB5C7esRzNspMq18rFinAxRwkqClGpmvO85r5PxxsCYcHrwjql0jXquoIo27zCOpsThTI7PR1/aBhXl33XByYMz8C+v/nGYaNlFmtEQq6YtZyubRech4uUijg1/WSV4lDrfJKyFkq05JToNYnrGoYno6DziSYOp4LXLuE6FvODx1q3F07Xw6V6PXu8qCzEHgLICv/U3NwPAlksPbVGilKhbMO4KhyCLjBheEYO4UNgHAbcpeZIWAZptshoySVAGH/GReW0BJsrxWGtlTDMbFYsVooAIlmyxs/T9tVY54KC0WM9Qv98uIVQPqeuCzqeuK4TCSh9KPpkW8GggHWfLlvDeydz69koLKfXrWmSSSjUj7UdE2KQu439e1BTAHu4RheHBUgcgs+SRinekRym+MPAXT25lJ25kY0rxaHoAROG58ChfBiM/ecsPWODuDJF53F3X/I8wkJYcy017kwtocKXtSEurGq6mqTOIS2hm+28b7OJD5gOjL9GvXVQWg5DcchjKAvXXdW1pJx8Ms3NrCdL2tR8luRnI3tu2WqxDUVfViyya/mJ7/mu7HkM425ySDrAhOE5cUgfCmN/kTdLx/sfu/Cmm401BIqhy5pLOZqzY7yh6hpmgmfKij6DqzmaIuoRTucS+4hozlRWFxLWOa3jSa4oNqdQliZpEZT1Co/apIWOWw89vrRMKps4vMZQOKY+F8Oc/FLZNnm9K39mDeMSOLT7vwnDc6R53nsP7gNi7B9ZS4q37HiB0LtIMARWvoLLGT3UOMLomIzVSRujbR+LBH8+zrabM6lT2cgdy0DmApG5jYMkE60oNovfc9stqCGQzKL1FszV0XBNQbZ3QhH565Fla4hCQXi0CmIN3Vj8Ohifnm8/lyjyyUgFwRW8V0wMpqyHw3nysaPy8xT8SGDuYJ7YpK1B3TLLt2HcLQ71nm+dTwzjAImEAL8pN5QtbCz7IUfjvNxIJXzNJTd53h95QtNYtWsuKZQtX6em0QVez0SkZulcKV+z3IrI4wj7fihbM63dJ9cN18s8L2k9JApfw4LxUpafiWCuYNq6KnNDjbs595zNjWwYF4fVMbxArNahcdn8zj/1Z6fHsh5hXN8wtPhFlDSV0spOkmyRBszWp5bmfV4YBUkw4wbRbCUM3MyZrF8+lrIYyhI1sq7heu6hHHVMAUBHx/PjtoncxsSte207ZzPz0i9cTMrahQgLW6tuaV6TMGqDJ93aeo3C6LhEvUIu3IM57Wyd5mIxTCSZYxM1i6Jfx1sT/8X3fTcM47LZEyuh1TG8iuzJh8cwAISxYTWxgVECisu7kAe3YR/9i9ZVspDVWMJUnF/qx25CFOZwmzDucNhOf23SahXFGGYTS5pY1AWicEGJmcnVrMQMZvEu4UyrOi3xqERNhxW/ZnbcRKFxhbgO93UThoZxwPz43//uOQtU3n9LySVRLb/CeMUa0gqVPlCxLC5JKrloT4jspRydXxeH1LYi9pDXWhQxiQkxGLTB6/r6Mj0AQLQoe3k4x7IM92huqS83kIw/vPp+IcM4PCzG8ILhvy7MtWxcOk4RWBmXMoAowSByScuWeJqo42tMNQMLwmTbR6KCOiXm0AsjuV/0HZ7XFa7iGksi0dz1xIuZ7WY4p3++RHBdN7fEcz2CJxDEDrrZdezFYdMO8YVcsB0fRUko3FXuREu8qYWen7Nq5yz0yDUsXlz+Hq2a+bhMCzw4zM8/F5vKwwQy2ctN17NWevO4WQuNy+Q6WAk5ZjE0jANH3lRLZWbK4/nz1ZSxqUbTjudoJZxEYckCmINILXODtoWM4Q62cwk+fT9kKdcmy3gLY6m8jWCp9dA1VFXKZnI9d32x6w05h6brA1FoGMblYckndxmzGhqXxe/+L75i3pD333O2GmprqPFmWoyhFym8/I1fiwsYLoC05JPUXJ50IkXUdju5gfkYTzjRtqPn0LZBUggRAUdH82NgTDxhCSfHx2HJGgA0HjPhLYTjvMhiKBNLVqxN36oJ38fIEsiEMbMu8ix0/qMgqn8oy/dM67L9/Jz+qWYSU8xSaFw2e2wt3PlXlrmS7zL+Q2YC0bhUNJcyEFroSlnGyuGyk0YsIIUQG0VBsZCy5ipWqOmiMi2piUIAoCbKNiai0NrnrYs+lpC5k6dx5i52zk3f0s65OcHEv6YNxaJwtQrfg1WbzkwGBlHI1xDz0SUEGgZR6AW5W4XubCo4lqjrx7qK/jXg64bn9IkkKcsgr2X4Y2/6u9nzGsZFsseC8MyYK/mSuM4fOuNy+LHvD2+0RZdvqR9yxe/RyO0s49qWkPBu0Bna4E1UZCl7S1++64kbClzLY9s2jHmUySkeXxi7NtGDt7ardAdPBK0LFx7Lzl2cN2WkZ56TKJb91jd9z+LrMYzz4rrfn00YXiLX/cNn3H1+7Pv/bty5JEdRPIabWns19TB2DcQ7pyhdVHaiwo1cDeuTHPVTpiYf2ygFXkocCjFIx7G4DERj7/KibBW6lF3bhvGEta8vF/LbXs1ODt5znlycyGQOfmA0mK/lPGNTDWNH7L5sMYZXBnMtG3eT3/PH/ky4Q7qNXXoMEG7lmkLWpUxlT8KlPFm0eEHrUbQQ3+fFBReGW5bJnIovTBW7BgYxx12447j7/9u7u1DZzruO47//mnNCMNiroHmxDQVLg62aSDzBEmtR0pycY0mtFqNF8aJItEG8KFIRvBHBC+/EGy/EFyIFSxrFc5IThFrQSps0adPGtwZNbZOLohRD0eZkz3q8mPXyvK61Zva87Jn5fmBnz3qdNTt7z/zO/1nP89QuHG6mvda2mbhpbrY2OLXXG4c+q6SuabkZ1ia5tzBaToJffL9ftBzv729vm5WdC6f+i4OaP/h1qZNIVdin+//iwn0s2i6qhdiNAwyEDHC97w7wlxKHYqySkwkJabNzZp+ZF+KaLyt8TTb0D91VqoXR4NR+aLTM6w4Gp3Z1Hwr9c8SVvsoWgTATMou8eZNHe2MXQmH3s51yjuiexGUGupZZX+nMhcLovMC28fkbomJ4RlFBxDa894O/FK7w3w9ynUv8afNyFb/R3syFP9u440WuctgO5uztb/NMlbANXpU3ZZ4UhLwgnNXzsOrp7+dXEtt7C70mYDefJx1PzO8ZPJuFzc9R5S/bZBzNrZyda9nreOKi4Kcqat4OqoPRWIb+2IaZamHXISVXYVTcLNxPgeePfRhUHnM9l73tT//lnwjYhiMIg1QMASxv8IN4bLzCgSnUOnHv15HqY3fPoVk/Jt/Y2Hzr+MdtG1iGpq+Ln7bdN+6kE1cZg7ELM68jundwlN8b2et80nUGOc3PI6rcSpmBsAsmT4E3sdMKgN1guJozimFtsBP+TB7SIhwOfNb7Y9xlj/dP7YeiKfccnpuFFb+h85cCV2uoWtiqTPL7hnizrLjrfQeURYeT4WDj5nPZDTf0y/4QNaVrlBYznXiSeZOlMCTH1cIlOG92E0lyoz2RlFQLu4A3ITya6zsVMZA1duUIKoWnRlPyniAgYpse+MAvhiuSae+iA7LBLFxM7hUcCofxvrkhaZzXM9ffv86cY0ow9Ct9tQsqf+7kJPgZdNvicQwlyawfssYfwDoOhlXVr2vPc/6GYBeLg198jnh7XL2c5ZuK42OT6m+hsttVD+Mc6DdDN+eyE28mk0KnlKc/8afZ5wHW7QgDIU3Jh+4If6lxloxVeCZUjJImyTozbI20/Hh8GxA3B0ta/AwqC7eNTaPnB+q45/esqTwWQuHwBTYdRryOO4OhMDZUaay13LBB/v9X57rp8saqgqODmgNrwufncgiGe4RfbmzLtcf/LF050qM0CYeV0t7FUeDI3nOYC5lekOnupyvdjze1FaRULVxWEvii0FW7ft0yLTT1POx5PJtN60G8giSct4Km48LHhR9Ox9R9cLz2xJ+f4oqBafjcXB5NyXuKpmVsy8WHfqFfyL1fjM2JnDsm7q2cC2aZDgrFWU7849vj5vM+ZOaakgvBMJnZZD4PO5AUei131+g391qVjGOY7NOKprhLxjKMj4krgkHv37j3cRRWC03MQVAf6lzk7Rc0Q/vHtz+z4Pz9ZoIhNolASFPy0eGXHjtx2tkpomnYukpi7ry5MQDbgONXqUrHt/ud6nqbAafb85+msthYJRS6eb147vbLHxtwiSn0JGV/rlIYCnPV3X7jSCicb6aqCUzF5+PpUDE8AFQPsWlB1VBKP/jj8Q3jQJbJZ9mBq7PVxbSZslg5dC6sGEbnndLxxPnPNzDA9WLfeXjN1Swc+Doex9DvcOI7fy4Md5l9go4oY9VDv0o3Vi1sf5be+tK4hYsLSYPh4p5C/7yZ62gOo1KITSEQBlb+VzzB8IAQELFpF9/3oX4hF/ZGx+yL9q8zYxROHI7G5nW+t3J7jtMEw5Y3T3Kw3tVpB5WoI4pVtrgvsF1uA1U8yHUuKCaDXA/0To47ecTNyKWeycmUdxOCYdT7Otnff+p23Umtp648JmBTCIRZNCWDPw5s2di7RxRQbO7yU90N3SvnnSsZyFkq967N3etWUgqF7WvIdbrI9UaOxjZ0uebdsVDo6sXPo+2t3E6rF0+Bt0yHD/+1lBSal62uu84iQS/iXCj0j5u7xbzX9DzGhvG5t35UDA8YFURsyoOXfr5fGOmQUpwNIz4u7vRROHcwa0YbjEqVw3Yu4PZ0Yx1P/HMH65vHtQuXpXSw6yY0dj2R26ni4t7KGp8SL1tN9M+Tmw7Pk60WxvdkDkyZt1Qnk+hc7T2LVAuxboTBSagYIsUfD7YiV+GLAkV2+rx4yrtsZS48LhjQ2q+WnZulIandftoOM754HEMprR66OgyBy3QMyQVBXxwu4ykDo0piUGFdtsJYCoX+OIcjoRBYNz7XNo+K4RGgcohNCKqG0niHFCnTKSU6phBcsp1NSiHHn74uupahimHSjJyrGCoznE17Losqg35grKxf34a2GzIDWp+PZ0cJg2Byr6EfFIc6oEwZ2qa0T12XQ1/mnkIqhdgUQuFS6HyCaQiJWLcHLz7cL4x1SJHygS4OfmNNyP55MuMddmGvNIdyG+aWaUZul/1gWKeBNR7HUFI/lmG7et2hUCqPTTjlHs54/dg4h/4pvR/bk09/PH9uYEWEwZWtHAxH2i1waNo/MgIiNqJSNhyG+1SLUJcLdC2zJBy6WSXL3Yc4q8JzDYVCaXHP34p9IpJq4egBdXKfoCvMXpIM8h1PcVebrKvuFUJhblDw5JxN9XRoyrwR/n2jNBtjEwiEu8M9hkeKPzqsy5NPRVWi+JY7s3RA6tjAfYrBfXJDPWvbwZ/bw3P7+gNEr8BG54yeJb2RnXPBV65aGFcUS/caurpeBF5/sOv5PLzPsBT4hl7zxGph0Jsc2BA+n3aLpmRQPcTaXLr/Z/uFCdPnBZ0mGtk5kHPN0aWKY65iODTlXtOruGtKLjUjx03K8eDWZulYhnHzsNJm5CQUSmEwjKqDQeAdak6WiuMWBtXCNrgP7K94//Y8zWOakLEOBMK1oikZq6N5GRvRBojSPz7b+wrjJuPK8uFwYqUq24Q8m/XBLg6UVqVDziyre611GA5zr2OkyXhxrYXXMGQsFPrh29vNtVXQFUIhgRDrQCA8W6gYIkA4xGkFVUOpD3658QfjfTxdOPT3LU2Zl6kIFiuGhc4q3XvhhIphMmRNcOF9kIrHLowriKPjFMZhb2r1cGBWk6B52G8anxoMT+a6+qlPpNcNrIBQuDH0Ssb6ERJxGpd+4oPhipGhaWxep8Gv1Bw90BNZ8kLhUBNyIdz5TcTxwNb99kyw9cJUdjDrQggM9h1qGl6mSTkX7OLBr0uhsDDtnf+YYIjTIAxuBcEQm0NAxKoGw+F8njYZl96PclXHbPVwnm9KLjUjd2MYFkLiyUly3cmsJ5kgNSkYjlQTZVUxGCYda0rVwoFKYTf8z9C9h5nHhEKsikC4VQRDbAchEcu69GMfSFdG7zvZewrjsFbqlDLUjBxvC4Jl/zgYhibznuhvD4JhZhzDePxBqQ991gasKaHQNyUgxmEx2DbeZDwWCgmEWAVhcGcIhtguAiKWMTkcjt1P6IfDeuCeRUnujcwMKJJ0kh+L0JXuVQyCoFs6GCb3FWaqe4PBcGpzcvFxIRR6zy+lwdBO5rry908IWAWBcOeYKxnbxR89lnH104/r6qcfz27rxiiMg6BZ2onCudE5f7ux/nK9eOd1Wo2TN1RNdEzSxDxhHMOlOCdVldy87r6C8DswCHV2nMZl+D9b52Qn88XXvM5PQQhMxOfDfqNiiLWhiogpLt/3/nRlqdPJ0D2FLrxfsV8dj5U4H542L7d/e67u3sRCJbHUUaNdFXUsSe499JuFc8PWBMt+Rc/v+VxoAo7PMTYEjbedSiGWQRA8k2hKxtlAOMRUSUB0UTPx2EDXbVjL3RNYuPew1CM5N1RNty2aUaVbN2IwBM5mabNwENy2HAqjxwRDTEUoPLMY4BpnA4NlY1VX/uGvdPlH3tevqCwNh+0cyn4wy8yrnA2V0iIUXU/vPTSzbNjr1nkDZGdDYfv8pV7J8XLUHJ6bJi+45m7Hic3HK4ZCAiGmIhAeLiqG2DhCIpYVBESpnyXFF91n2PVEzoXCN67nnyjuTNLyB7z2n+ONTMeVuANK5fcatsnNxUmYjO9n9Pc9f75fX6o0npyUt/nVwc/+jYApCIN7haZk7AdCIqa6fOFyujI3Z7Iy0+D54bDthRwNSu1KM7EUmpknhUIpDYbt47FxDP3lgVBYCntWaBYeOp5QiDGEwb1Fr2TsB95kMNWVz10Z38m5/LA2bbDyh6axqtwUO9DD18wWg3GP9Uge4ZxbhMyqSiqFuQGxJS32G5rqbgpCIVbE+/VxomKInaOKiCkuX7hcHIPQlx2/sJ7QgznXpFzX/ewn8fPkOr90PXyr5luhulcIa936qAm6VAFMmqYHmo4JghhDEDwoNCVj/xEQMebyDz0wuL0LcYXp8kqdUorhL9d8LMmdROEzmiu5VZoHeTQYSmFz8pJNyVeeu5a9biCHQHiQCIY4PARFDGlDoitMc9eZ1/n1pY4n7alOTrJBMgmFUtIrWZowXE23MCEYRsd3xwwNeSMCIvIIgkeBewxxeKpbvsIbGIquPHctDIVSeA/hvO7HLczOdjISCqVFOPO+RscvnPAPbTPrh6sZmMFlkgnjKQIt3lMxBRVD7A0qiCi59IP3pytL9yO6uthELE1oVo6rj9nOL809gFVa2Ruc4STqBGOleZIHBsM2MyqFCBAGjxJNyTg+BEXkXPr+H89vqF0x9A11MpG0GNcwblZ2mfmdpex8yRY0I0fVy6nB0Kt6Xn3xU+VrxdEjCEIEQxw7QiJiSUBsKn7Z97xcT+Z2X78XcxwOR8YxlIYHrk7GNiQYYkWEQUQIhoBEQETepTvfnV3fvf+VgmF7j6LXfNyFw1woDAaZboasGQqG0bYnX/qMHnz7j3rbCYYYRiBEAcEQyCEoouTB733X4PYnX/qMLt5xoV/RhMPs+IWt6P7BsTmTc8EQGEIQxEQrB8Nz47sA+8t/EyUkwueHsDgkZgOaVWHHE7M0HBbGM2w99R+f7R5ffOu9y10wjhZhENtExRBHjbCIKS7ecUFPffVzkqQHbr872Hbtlef1wG13Jcdce/ULi2Pfco8k6an/fHbDV4lDQAjEmtCUDJwGARHLeuD2u3XtlefDdU1AbEMhMBWBEGtGMATWhZAIYBsIg9gggiGwSYRFAKdBCMSWEQyBbSEkApiCMIgdIhgCu0BIBOAjDOKMIBgCZwmBEThsBECccQRD4KwiJAKHgTCIPUIwBPYFQRHYDwRB7DGCIbDvCIzAbhAAcYAIhsChISgCm0EQxBEgGALHhuAI5BH8AIIhcPQIijhWBEEgQTAEECIo4lARBIFRBEMAqyFA4qwg8AFrQzAEsD6ERWwaIRDYKIIhgM0jMGJZBEBgJwiGAM4eguThIegBe4FgCGD/EBzPHoIfcBAIhgAOFwHy9Ah8wFEhGAIAAEDSKYLhuXVexZat/KIBAACQqnZ9AQAAADgbCIYAAACQRDAEAABAg2AIAAAASQRDAAAANAiGAAAAkEQwBAAAQINgCAAAAEkEQwAAADQIhgAAAJBEMAQAAECDYAgAAABJBEMAAAA0CIYAAACQRDAEAABAg2AIAAAASQRDAAAANAiGAAAAkCSd2/UFALt0s93qruv1xYKZrN1g3X965i1nt0frLNo4uDx23gVXOi73fMmx6anzx6p7rW5on9z5l3iOZffvjllif3+9K6yf/NzLPm9xmxv9WebXu2R99pDuf33yioNf4ea3KTomfC6LnqA9pwXHOG+7991csC443ntNQ9vTc/f7W3J+b5t/nZlzxvsNnT+7LbnuzH4mee8o0T65bf2az7/w+jXn3EUBO0AwxFG7rtd1b3W/rDLJqu67Kus+SayqFo+77yZr95EW6/zt3bK/3TtnZrszW9Tvve2u/STz1gf7SYtla85Rtefqt8vUHdPu629fPJZUWfc4t71d1+0vNc+XbusClMXHe9frP3dmv+J29duzx00899Bzpa9bkrny8f52xdudt0+7zSXbrX0sf992m/e92d7ub+aaX40+bJq55lei3161ISpaZ+ZUyXW/Lt067/tiu+u2B1/qHwfbu/V1v81bN+v26bfPvOXF9uax6u7cM6tVqfludXeMf/zMO67dX1LzePHci33q7tzt883a45vnmKm99rpb7s4tF1z7Yrm5Dkkzk2bN/5TFsqmSaabmu7XbqmZ58UiSZrd+5WYBO0JTMgAAACQRDAEAANAgGAIAAEASwRAAAAANgiEAAAAkEQwBAADQIBgCAABAEsEQAAAADYIhAAAAJBEMAQAA0DDn0vk0gWNhZl+W9O1dXwcAeG50zr1z1xeB48RcyTh233bO3bPriwCAlpk9u+trwPGiKRkAAACSCIYAAABoEAxx7P5o1xcAABHel7AzdD4BAACAJCqGAAAAaBAMAQAAIIlgiD1kZnea2T+a2etm9tGB/R41s5fMzJnZzd7695jZ/5jZF5qv3/a2vWxmX2rWP+ut/x0ze6FZ/7SZ3dasv+Cd54tm9lObet0ADpuZXTSzf23etz626+vBceIeQ+wdM/suSXdIer+kbzrnfr+w392Svinp7yTd45z7r2b9eyR91Dn3k5ljXvb39da/yTn3WvP41yR9n3PuETP7DknXnXMnZnarpC9Kus05d7KWFwvgKJjZTNK/Sbpf0tclPSPp55xz/7TTC8PRoWKIveOc+4Zz7hlJb4zs97xz7uU1Pedr3uJNklyz/n+9EHhjux4AlnRB0kvOuX93zl2X9HFJD+34mnCECIY4Vu9qmoafNLN3eOudpL81s8+b2S/7B5jZ75rZ1yR9SJLf/Hyvmb0o6UuSHqFaCGAFt0v6mrf89WYdsFUEQxyj5yS9xTn3A5L+QNIT3rb7nHN3SXpQ0kfM7N3tBufcbznn3izpMUmPeus/65x7h6QflvSbZnbjNl4EAADrRjDEXjCzj3idPG47zbmcc685577VPL4q6XzbOcU590rz/RuSPqlF807sMUk/nTnvP0v6lqR3nub6ABylVyS92Vv+nmYdsFUEQ+wF59wfOufuar5ePc25zOwWM7Pm8QUt/g7+28xuMrPvbNbfJOm9kr7cLL/NO8VDkv6lWf9WMzvXPL5D0p2SXj7N9QE4Ss9IelvznnKDpIcl/fWOrwlH6NyuLwBYlpndIulZSW+SVJvZr2vRS/g1M7sq6cPOuVeb3sO/IekWSS+Y2VXn3Icl/YykXzGzE0n/J+lh55wzs++W9MkmM56T9BfOuaeap/09M3u7pFrSVyU90qy/T9LHzOyNZtuvxj2aAWBMM7LBo5KuSZpJ+mPn3Is7viwcIYarAQAAgCSakgEAANAgGAIAAEASwRAAAAANgiEAAAAkEQwBAADQIBgCAABAEsEQAAAAjf8HDb+HFRbKSQYAAAAASUVORK5CYII=\n", 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\n", 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\n", 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\n", + "image/png": 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\n", 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\n", + "image/png": 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\n", "text/plain": [ - "" + "" ] }, "metadata": {}, diff --git a/examples/Warm_start_example.ipynb b/examples/Warm_start_example.ipynb new file mode 100644 index 0000000..6378646 --- /dev/null +++ b/examples/Warm_start_example.ipynb @@ -0,0 +1,299 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pylab as plt\n", + "import healpy as hp\n", + "from lsst.sims.featureScheduler.modelObservatory import Model_observatory\n", + "from lsst.sims.featureScheduler.schedulers import Core_scheduler\n", + "from lsst.sims.featureScheduler.utils import standard_goals, calc_norm_factor, create_season_offset\n", + "import lsst.sims.featureScheduler.basis_functions as bf\n", + "from lsst.sims.featureScheduler.surveys import (generate_dd_surveys, Greedy_survey,\n", + " Blob_survey)\n", + "from lsst.sims.featureScheduler import sim_runner\n", + "import lsst.sims.featureScheduler.detailers as detailers" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "def gen_greedy_surveys(nside, nexp=1):\n", + " \"\"\"\n", + " Make a quick set of greedy surveys\n", + " \"\"\"\n", + " target_map = standard_goals(nside=nside)\n", + " norm_factor = calc_norm_factor(target_map)\n", + " # Let's remove the bluer filters since this should only be near twilight\n", + " filters = ['r', 'i', 'z', 'y']\n", + " surveys = []\n", + "\n", + " detailer = detailers.Camera_rot_detailer(min_rot=-87., max_rot=87.)\n", + "\n", + " for filtername in filters:\n", + " bfs = []\n", + " bfs.append(bf.M5_diff_basis_function(filtername=filtername, nside=nside))\n", + " bfs.append(bf.Target_map_basis_function(filtername=filtername,\n", + " target_map=target_map[filtername],\n", + " out_of_bounds_val=np.nan, nside=nside,\n", + " norm_factor=norm_factor))\n", + " bfs.append(bf.Slewtime_basis_function(filtername=filtername, nside=nside))\n", + " bfs.append(bf.Strict_filter_basis_function(filtername=filtername))\n", + " # Masks, give these 0 weight\n", + " bfs.append(bf.Zenith_shadow_mask_basis_function(nside=nside, shadow_minutes=60., max_alt=76.))\n", + " bfs.append(bf.Moon_avoidance_basis_function(nside=nside, moon_distance=40.))\n", + "\n", + " bfs.append(bf.Filter_loaded_basis_function(filternames=filtername))\n", + " bfs.append(bf.Planet_mask_basis_function(nside=nside))\n", + "\n", + " weights = np.array([3.0, 0.3, 3., 3., 0., 0., 0., 0.])\n", + " surveys.append(Greedy_survey(bfs, weights, block_size=1, filtername=filtername,\n", + " dither=True, nside=nside, ignore_obs='DD', nexp=nexp,\n", + " detailers=[detailer], survey_name='greedy'))\n", + "\n", + " return surveys" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "def run_sched(scheduler, survey_length=365.25, nside=32, fileroot='warm_start_example', verbose=True,\n", + " extra_info=None, observatory=None):\n", + " years = np.round(survey_length/365.25)\n", + " n_visit_limit = None\n", + " if observatory is None:\n", + " observatory = Model_observatory(nside=nside)\n", + " observatory, scheduler, observations = sim_runner(observatory, scheduler,\n", + " survey_length=survey_length,\n", + " filename=None,\n", + " delete_past=True, n_visit_limit=n_visit_limit,\n", + " verbose=verbose, extra_info=extra_info)\n", + " return observatory, scheduler, observations" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "# Generate a scheduler object\n", + "nside=32\n", + "survey = gen_greedy_surveys(nside)\n", + "scheduler = Core_scheduler(survey, nside=nside)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING: ErfaWarning: ERFA function \"d2dtf\" yielded 1 of \"dubious year (Note 5)\" [astropy._erfa.core]\n", + "WARNING: ErfaWarning: ERFA function \"utctai\" yielded 1 of \"dubious year (Note 3)\" [astropy._erfa.core]\n", + "/Users/yoachim/gitRepos/sims_skybrightness_pre/python/lsst/sims/skybrightness_pre/SkyModelPre.py:377: UserWarning: Requested MJD between sunrise and sunset, returning closest maps\n", + " warnings.warn('Requested MJD between sunrise and sunset, returning closest maps')\n", + "/Users/yoachim/gitRepos/sims_featureScheduler/python/lsst/sims/featureScheduler/modelObservatory/model_observatory.py:475: RuntimeWarning: invalid value encountered in less\n", + " slewtimes[np.where(slewtimes < 0)] = np.nan\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "progress = 100.05%Skipped 0 observations\n", + "Flushed 0 observations from queue for being stale\n", + "Completed 1247 observations\n", + "ran in 0 min = 0.0 hours\n", + "Writing results to None\n" + ] + } + ], + "source": [ + "# run it for a few days\n", + "observatory, scheduler, observations = run_sched(scheduler, survey_length=2.)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "# Decided now we need to go to 2-snaps\n", + "new_survey = gen_greedy_surveys(nside, nexp=2)\n", + "new_scheduler = Core_scheduler(new_survey, nside=nside)\n", + "for observation in observations:\n", + " new_scheduler.add_observation(observation)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "# Jump ahead a few days\n", + "observatory.mjd += 3" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING: ErfaWarning: ERFA function \"utctai\" yielded 1 of \"dubious year (Note 3)\" [astropy._erfa.core]\n", + "/Users/yoachim/gitRepos/sims_skybrightness_pre/python/lsst/sims/skybrightness_pre/SkyModelPre.py:377: UserWarning: Requested MJD between sunrise and sunset, returning closest maps\n", + " warnings.warn('Requested MJD between sunrise and sunset, returning closest maps')\n", + "/Users/yoachim/gitRepos/sims_featureScheduler/python/lsst/sims/featureScheduler/modelObservatory/model_observatory.py:475: RuntimeWarning: invalid value encountered in less\n", + " slewtimes[np.where(slewtimes < 0)] = np.nan\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "progress = 100.12%Skipped 0 observations\n", + "Flushed 0 observations from queue for being stale\n", + "Completed 1563 observations\n", + "ran in 1 min = 0.0 hours\n", + "Writing results to None\n" + ] + } + ], + "source": [ + "# run the new scheduler\n", + "observatory, new_scheduler, new_observations = run_sched(new_scheduler, survey_length=2, observatory=observatory)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(1, 2)" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "observations[0]['nexp'], new_observations[0]['nexp']" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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mo1lIo+EwDxMcyyQrCvKy5FyvTavuYpk6a+06O8cTNlYa6PdxCoHKq6OUIsiuY+ltcjlPnH2SdBhQMAFrTJnHRIWJ+DXS0Tq6G7LabJNEKRce2Trr4p85EQvHOH/S1QdKqfe+nuU5LVVAeA2KosQPE8qyxLsj6ZxSijjO2e9PiKKMw8GMRsNGNzRqnsWqXcePE/b7UwoUg4lP3bOJ05ykzOk0PYYzn4bnomnC4dCn03C4ut1no9vgfW+9gK5plGVJlpfoVhUQKq9MqRKyYoiGw97O5zHLy8wHNqoWoOGSJyG1nkkeFqj4FobdZOdT8M6vatBea5518e8Jd3Gk8h5wZ5em88vnTl0VEF6lMEp56vohSZovGuAUXDq3Qqfl8cyNPtv7I1zbpNPykGVbQRynxEnG4XDKYOSzN5zRabpkhULXNTZXm+i60OvW6TY9Ok2XMMl4eneAEtA1wTQ19oZT6q616Klk6Gf9UVTeYEqVMU+fJMy2KTKLMHsWb7VFkGZk6Rrhfge9vo/bKnH0BmW9pK5dQVSTzQfX7+ukdl/qrjWqfwT4qyLyi8D7genr0X4AVUB4VZRSPHuzjwh0WovqobIsefr6IVlecHtviO/HpFnOZBby8IPrzIKIq8vl+8dTRNfQFNRsi97FOp5jYdoGfpiQJDlpnjP1E5TAW7ZW0HSN4TwgjDOu7Q3pjwK+8SseqUYoV16xOD+gKOfUzCsch5+k1FJyrY/ePMQQC4wa0XSdomxgmZsUZUbv/LvwjQnq/h168KUUlKc0UllEfgH4WhZtDbvA3wJMAKXU/w38GxZdTq+x6Hb6A6ey4xdQBYRXIYozojij3XK/8NxgFHD1+gFxnGOZOp5rc26zjWkZzOcRfpRybeeY1XYdhaLmWqx06tQckxKYzEOCQco8SrBtk4kf0Wk6BEmGZ9u06g5ZtshvpImwsdLgaDznfK9Fs+ac3YdRecOJ8wN0rQFEmJaLVjbIyltgjkhCG63eR1OKsP8wfjSh0W1SZjqilbiN6pBx2pRSf+Fllivgr9yNslR/3VdBKfWFq8U0zbm1O+SZ60fMwpiVVo2Vbp2DoynjacTWRpOD4Zz11Sbnem3ObXY4HMwwjUUf5cPRnDjJGM1Daq5FnuXEWc5at05/NAdNo13T6I9nXFjv0qo5+EnKNIwJkpR5nPC173qIplcFhcrJaCzqONNihGN16XRhb/8mJSsUWYSYMYZhoa9vU/gZ8aTL0e0D3vK+SxhGlVkXoFAZs+zwrItx6qqA8Cq4joVl6gxHPte3jxlNAmzbwEp1/Cihk+XUPIvpLKTmmaRZTp7n9Fbr9No15n7MTn9MFKdMwnhx1o9gGQZr3TqGaeDYBivNGllekKmCkR8SxAm/98QNVtp13vfWi+iakGY5n7t1yLsfPodr3d8jRysnYxvnmCVPEGY3yMophX6E6eUQb5BlU0RcTJvFNJppj9pDCouCrc133feD0Z6jiUXNfPP1tjqzgCAiF4B/DqyzaLD/sFLqJ0WkC/wScBm4BXxAKTU+q3K+EE0TXNvgDz51nckkJM4KsjTn8vkufphy/daA9ZUGKMV0vpjP4O1v2WKnP+HG7oCD4Yz+0MdxDTTAc202ei1aNYckyxFNuH0wwdAF09KJs2zZpUGwLIN23eZwPMM0dExDJzoYYJoa73nofNUFtfKyLH2VvJgBUKqYrJyhmSkYA4wyR7IVtKgDzhFWs0mj00ANL2Ib93l60+ep0l+frhz4YaXUp0WkAXxKRH4L+H7gt5VSHxKRHwV+FPiRMyznl0iSjCevH/Lpz+0gIrRbLjXP5njkM5qGFHlJGCVMfRPR4Pxmm5WVBuNpwMHxlO2DEapUKBR122JrtU2r6RBGKX6U0B/5TMOIXJVYhoGnbFDCatNDlSVBnDLxY57ZH7LRafCeK+cpVMmN/RF12+atF9aqs7jKSyrUHMvoYRvnmMSPQTkhDkBkRk5CEodoWUAxtVi1HqXUFWvrJ+5zf9+oJsg5RctuUwfL+3MReZLF6LvvZNHiDvAzwEe5RwJCUZQ8df2Q/aMpzbpD3bW4vT/GNAuyvODmzoB2w0MBdc/k/e95kCwvmUwjnr51SBhlFEWJaeg8dH6VdsMlyjLG05DD4Zwky8gKRVYW6JqGUorRNEDTdQzDYziZstJp4toWnp1RW45d0A2Ni6sthvOQeZRU7QmVF6VUjp9cw0+fRBOLLJuR9C/gWhlBehXBwHRzCr2PoZ1jNLqK036Yc5cfOOui31MUp9fL6F5yT7QhLPN4vBv4BLB+Rx/bQxZVSi/0mg+ySPTExYt3Z7LrmR8RxRmNukMYp9RqNromfPbJXTzHQkTDcUwunetSrzvkhSJMEuZBwvmNLpoIu0djEEjzksE04GAwpVSQ5gW2qWNZBnXPZqNX59b+iI6lM57H5EVBq+bR8mzCNCVIEqZBxON+xHuunKdZd5gHMXGa0/Re/r1U7k9Beo1cTdGlRpqPmMVPUdZ9NFzK8QNoSkPzjijDBvVGC72Z0Ox6GHY13uVPqgLCqROROvArwF9TSs3urO5QSikRecErs2UukA8DvPe9770rV29xvKjfbzgOewcTDiZTpn5MWZRoIti2Qc21WenUMEyd8TRgFsasdurEaY5Sit5Kg2dv9dkfTACI0gLHNmk1HFaaNbptj4PhnMPBjDDJWK/ZiJQM5yHtRo2D4YyCklbdo+E4pHlOVhQURUmJqgaqVV5UUcYkxRGOvkWY3MbPHkeRQVmCeYRVNyjidcrwHBLVMdw2praKrnvERZ+a9ubL//9qFSpjkla9jE6ViJgsgsHPKaX+v+XTR89l8hORTaB/diX8Up5nLaarFIiSlGdu9NENIctLbNvg4QfWCMKU0SRkbbVBtkx53aw71BU88cweB4MZg/GcKM5wPZt23WClVafbrhElGZNZyHgakOQ5eakWqSl0g4Zu0nRtpmnCerOBtqxSMnWd4TTgc7cOeMeljaq6qPKikrxPmN4AdYsgvYprXETKMZH2NGVhkiQZ6LcIxg0mt3qoTKfwHTotjbycnXXx7ym6WDSqXkanZznpw08DTyql/vc7Fn0E+D7gQ8v/f/UMiveCGjUHlOKjf/g0UZyDJpiGxlseWEM0jSTOsW2D0TRE0zSuPNDj0vkuT93qc9CfsX88ZTwLUUDNdVjvNmg1PfIiZziLGE190jRnFsd0GjVmUczEj+l16jiWziyKCYKYlmvRn4Y4jsG51RZhmnM8C3Atsxq5XHlBaT4kzJ4FShCNrBySM0V0B8daZ7A/w3CnpGlKUShWHpmS+Iq19bcznYxJfQOqIQhfoKgalU/b1wDfCzwhIp9ZPvdjLALBL4vIXwa2gQ+cUfn+hCBKKEpFzXOwrIK8KBEB2zY4Hvn0k0ViOss2eOvD63zlux/kaDhbjDs4HGPoGqIJK40anZZHkSums4D+JKBQJdNgEQhqjk2vW+dKs8cTNw6YhxHDeUmWZ6x36timgW1qnOs0eXCjS5zm1D2L64dDNlcW3VcrlTuF2S0MrYVtnGcU/T6FSpACMrWNZnrUak1KXSOP6rRXa5Bb5Mkm3socrVgjGjmwctbv4t5SBYRTpJT6PV68Vebr72ZZTuroeIbrmKyvNlDAarfOE0/tcmt3wGp3UY2zttrgHY9sISJEUcL2/oitXps0L0GV1D0bhWLqxxwN5yiEaRDSrDm0ai7rK3Vc12LuR2wfjGm49rIbqcaFtRaZUvhxSpwXTKOEP7y6zVqnzgNmh/E84pPP7PA1b7uMa1eD1CoLSikKFWDpXaQA1zyPKnP87CqqLBBMlL0LyiAbPIRh1tDdCNE0lJZjhg8jqpqM6fmqcQj3uTjNMQydlW6dazf7HB5PSbJFgzLAuY0WjYZLve4QBAmDSQgsriA0gUbd43A45+beiCwvmEcJDdemU3dZ7TTwahaGpjH2I44nPpqu4Tkm0yghTjJcx2Q4DxBNaDdclCqIkoS6012mytbQBG4cDnn7pY2z/Kgq9xARwZA6eRER54colWHpa1jlmELm+OGIrIhJZ11SbuH7NuWtKxRBndV2jyI16VQpr79EoTLG6T3TvHlqqoDwCnRaHrv7Y/K85HjkczSYf2FegnbT5eHLPaI4Y+7HiGhYhoZS4NompqHzxDN7DEY+k3mE65jLdoQ6rmfh2SY7gynzMEFRohs6eV7g2hadlsckiLEtA8syWG/VEV0YzAPqnstgGmAaBlurTdY6DcZBRJYXmFWPo8qSa17mOPwN4vw2oJGWA0oVoWcPoQIbS6sTJD7uSk5xrKFaN2lvXGLn86t8zdevU29XU2beSROTpvXmO+mqAsIrsNKu8ekntvnsU/voGigUnmex0l2nLEq2d0e4jsXUjVjp1OmtNJgGCUeDKXGaUhQlhqFjmwZr7TqOZ9Guu+wdTdhNpoRJSlEqilKxseJQmDoTP6KuHMpcMUpCgjAhcCz60wClw0qztmhUnsx55EIPAQR5M3aRrrwGmmZiaA1c4wHm6ePkhY8mDn76NOIU6ME5HGOA5kSY3R55M6TpddDbNZrd+lkX/95UDUy7v/UHczzXYmOlAbLovm0ZGnlRMp5EhFGGaRrkRcm73n4ew9B56OIq+/0JeQ6GoXNxs8Nmr4mha+wPZxyN5syDBNGErCjoNj0c26DVcPHjlFF/guuYhElGiWKl5WFZBo6ls95tYBoGiKLbqHG7P8YydDY7TUy9ujqofFFezDG1Fo5zjkL56NqAON8HCVHKAGcf0pR8tgbJGhoRrZVHiZlTig9UVUZfQoF6E7YqVwHhhMpScTiYsdqtM5qE1Gs2ugiffWqPJM1o1l1Eg7e9ZYPzGx1ubQ9xLJN6zabbrtFperSbLnmWM51HfO76AaN5hGFoFEVB03PpNFt0Gh7jIOTGwYhu08XzbCZ+hG2ZbHQbzKOYsR9SKoUfpUzDGTXXQjSNaJzh2AbvvVLlnak8nw6UFCpC1zwa+tuBktQKyIKErJiTqwClFYRBila2yFqCbhi4japB+YW8CeNBFRBOqlSKsiyxTJt20+PG7QH7R4vRxoauU/Mszm+0ybKCW7tDwiihVCWmaWA5i6uGdsPlDz9zg/7YX2RIzQs812Sr18LzbPKy4GZ/iKbp5HlJlGTUXJsoSfHjjCBJORr7aDp0mjXyosQ2DR7c7LLRaRFlGZvtBoNZSM2pOo1XvsgyOoSZQakSAJSkCNCpv5M82COYjjDEIynAbvhI2uFw+5B3f8MVLLNxtoW/JwlvxnrZKiCckKFrtBoe8yBmHsT0h1PiJCcrSgxdo9eto4nwqcd32OjVMU0Tx7ZwnOUYhYnPjd0BcZqRpBmiCRc3O4uRxbrGaBYwCxOmUchau0XdtRcjkS0d1/IoiQDBcyzWuw2ysqA/9WnVXI4nAbZpcWm9zWprMZPapbXOWX9klXuIJhZN+53MkicoSp+8nAMGjnkOXYa0nEdR6Iu8RlkPTVzyJKHpPYiuVScXz5erjEF6fNbFOHVVQHgFet06n/jMDbb3x5QlFKXi/EYLQ4Qb20N0XSMvckQ0GjWb2/sjrjywxmgSoItGs+ZiGgZlKbiOiWFohFHC8TRkEkT0OjWc3CQrCh7c6rLdH3NwPOPCehtVltw6HNKsuczCmP7EB11o1cCPU8Z+yJc9sI5SqpoTofKCDL1Jx/0qXOMi8/QqQXmNvJiClmIU53CcNrnWR/Q2oJOEHWpmlb/ohehi0rFeMO/mG1oVEE6oLBU7B2POr7cplaLIFcOxj1KKWRgzmgS0Gi7zICFJc1oNh/5wzsyPGE4C3nplk95KA8cyuLk7JAgTdo/GTIOYRs1B14QsL3jLxXWG04Ab+0NqrsUoj5gFEa5j0Gl0ycrFoPlO3aNZd3Bsg6JQtGou1/dHXFrvcOVcNZFJ5YWJaLjWBWxzHde4SJA9SaMWcjzMMJwZZrmFrs4RBH3ajQewnKr94MVUbQj3sTBKSdKMVtOjMYvwXJu5H/PU9QNcy0IEHMtgfbWHUiWf+fwermvSbjnEacF4ElAKqLJkPAu5fTixldTqAAAgAElEQVTGNDVQirIoeeDcKralMZkHZHnBNExoeDbdpss0TGl6FgqY+TFhlrHSdpn6EbuDhG6zhmXqHAwmrLY81lpVnW/lpWli0XAexbXOY+qfoUifYHrgkmY10Pq4NY8H3/qOsy7mPa3qZXQfK5VCKah5NpomPHntgMF4MZrYNIUVt0an7ZGlBTuHEzQBNzJRqmR9vYVuaBz2JxxNAoq8RCmFpglbvTar7TpBmnI48pnOI86ttTCCxRXDaruOPg8JkwzTNClE0fQsbNNkmkasNutc3ujQaXjESYqmaYzmAWudKihUXp6hNei6f5rahSvMV28RhyG20aPbeRhDd8+6ePe0KnXFfcxzLQxdZ+5HzPyY4dhH14SiVLiezWq7zu29EX6QglIYjsHF8yts9VpMgohnto8ZjHxc1yLLclY6NdZXm6RJzuFoxnAW0G54ZHlJEKU8uNlmfxSQjn1qrsU8TJgHMW3PQdM1kjQnyXI6dY2b+0OOvDlb3RYHozm/n9ziG9/7CJ5dXe5XXp6I4JgbOOZGNdzgFVDVwLT7l6FrNJs2v/4fPs88iMmLElM0Hrm8RhRnXLvZRxcwNMGyDVa6DTzHwnINRgcR3YaDpgm2baKW7QDTWcjx2McyDaI4p+YWbKw00HWNWZghShFEKaap49kWkzDC80yiKGMaxTiWASgGfsh5x6TXri+uPES4un3Eex4+X6XDrlReB5nK6SdVL6P7VhgtJr65eK5DGGXM5xHzYHHWHoYpSVpgGRqmpXNhs4NpGQRRymQaoZRCNJ1LW11qns3TNw/ZP55RliWzYDHfQbfp0mm4uI7B9tEUEUXDc0nnIVlWUHNtTENHUIjAQxsrRGlGCXiWiaHr7B5PWW15XFrvEuc5flzNr1ypvB4MMVm11866GKeu6p94QuNZiCZCp1lbjAXotfCDlN3DCVGaoSjZWGtxYaNLlOTkhWIeRPQHc2zL4G0PbVCiuLU75GjoM56FmMaie2q76XF5s8vET9jpT3Fsgygr0A3hXK9JEKakWU5ZlhwOA8bzmCTLGc5Dtg9HKFFEScrNowGGrlFzTFCLbrGVSuX1Iie8vXHcd1cIZVkShSkArmehaRpFXjIe+8ymEY5j0l1t4DgvPJ9At11je2/E9dvHpFmBoWvUPZteu45u6IznEVGUoAlQKM6vN+n2WkRJxu7BhKPRDMc2sS0Dx7bZ2ugyD2JuHYwpypI4y3Fti5ZnE4QJpm3g2DpZnqOJzqWtDvMwwTJ0DBEe3lyhFKHuWri2QRBnTIMETYR61WWwckJKKYJpyHzko5s6XsNBNB1NW+TsEk1QpUI3tMX/po6IoOkauv7S55V5VjA4GDMd+Ji2Qe9ch3rLY3Aw4fD2kDTJ6a412Lzcw3HfON/ZN+P51n0VEAI/5trTB6RxDoDtmFx6qMfezgjfjzFNnb15wuce3+GRR7fYOt/FNBdJ4toNl+s3+2xvD7l9e8B8HmMtfxTtpgsKbt4+pubaiKahaRrvf98DFEqxvTti93iMbWgYokMJD15YxdKFw8EUP8rIy4JWw0UJeI5Jic7+YE5L17FNk0kQoURo1G3yvOBWf4RlGhRKsTec4VgG53ttRvMhQZLyXV/1jir9deVElFLsPLXHwc0jNF3neHfA6GiG13CJggTd1ImDhHAeEUwj3LqN13BZ2exgexaGZVDv1HBrDu1eA6/u4jVc3LpNWSie/uObhLMYt24zn/jcenKPesejKKHVqVGzHQ5vDzm8PeTLvvoKtYb7hXJlaYFhLn5PldfffRMQ8rzgmat7mKZBu7vI7Z7EGZ/++HXcuk1npc7B3pjRKKAoSn7/Y0+xsdXmkUe3WNtoA3DzZp8/fmoPERhNQkzR2NpocXQ8J8tzkMUXd2u9xUq3xl5/xmDskxUFtqFjmAaba010XWM0C9mfhURpQbNhM/cLmq5Nq+GwP5xS91w8yySIYnqdBo2azf5wRpYV5IWi6S56G+WFwjZ0Lqy12ew2yPKCC7028zg+y4+78gbiTwIObvZpr7U42hlweHvItD9lMphz+e0XGFwfAYrpwKferfPsH9/CtE1EE9bOr+A1XSzPwnbsZf4uk85GC9ez8ZoOcZCycbnH5HjG4e0BWZLz6d99ird8+WVs22RwOCGax4RBgj+LeNfXvAXLMrh97Yg0ztAMjXOXVlnd6jAazBn0ZwD01pt0VxtnEiyyMucwHt71/b7e7puA4M8isqyg3vhi32rbMen3Z7TzGoGfcHw8Y2W1wXgccHw0QzSNw4MJW+c6hGlBnsOlrS6TcUDmFmRZzu29EaVAo2YjKOquRbvhLibQGc4xdIN2y6HV9CiKguk8ZjgLmAQxdc+mKBIcs0Zns808SimSxSjoOElxbBOt0DiazFnvNjENneE8wLQMWnWXyTxilsd4jkUYpfhhwtZKi4vrXUbziDTLscz75k9ceZUm/SmmbVAWJU9+4hoqL0mTHFA8+YlnEQGFRqvb4ODGEW7NZT6eU2SKyI/RTQOnZrN+sYdpm1y4ssH1x3dYu7DC8R+NcByLvZt9lILeZgfdyCnSgv2bxzz9mVtceHiT3mYbJTAdzvnYr34ar2Fz8comrZU6wTzi84/dwPAcbM+mVl/k+br6xC6rqw0e/bILy2lm7x5DM1ize6eyLRH5JuAnWaSk/SdKqQ89b3kL+FngIotj9o8rpf7Zqez8ee6bo0VRqj/xpZnPIo4OpoRhQl4o/GlE6CfEcYbjWRimzt7uFET47JN79HoN5mmKJkKr4XJ7f0QYp1iWTpLoPHpliyhO+fTnd7BtE9EF09DRdSEOEwbTgONxQK1mkqc5Rt3h4mYXyzQIk4TBNKTddPFciywv8RyTQin8KCHLikUX0lKjXE6iM4ti0KDu2mR5yWAacOX8GoamLX/ElcrL0w2dsijxxwHBNKLda+DfCIjmEaLrzIZz8qwgCmLKvCC3cpIox3RMkjDFMBfTyPZ3BtTaHrqpY9oGhqkTzELiIGHUn4IuhLMIRPDnMd3NNsE0pr87JJgvfnvdtSbBNGDUFyzLRDd1ZpOQKEzZ3bnBl3/lQ1hWh8P9CUmSs3PjGN+Pefu7LlKr390edafx+xIRHfiHwJ8DdoFPishHlFJX71jtrwBXlVLfLiI94GkR+TmlVHoKRfgS901AqNVsVKmI44zZJMSfRxzsj2m2XSzTYHw0xQ9iDg+nAFy4tMLweNEAbFkGUZQwHAnjSUhITolQliWGqdFbbWAoYTz2iZOcNM0X/QsMjY1enTjJ2e/P0E0hTjNsx2RtpUWvu5jt7PbBiLpn41gacZxyYb3NLEzYOZpyYb2NbRqM5gF1b9EjaTQLKYuClVaNmm1RskiDvdZpsj+c0PRs2nUXu7o6qJxAZ73F9pO77D17QDCeMxvMGO2PqXc8TNfmaHuApgv7N/oYhkZeDLEdk3xUYHs2SlJKFHGUkmc5qlR0NzsM98d4DZciL5mMfJIgxV8e3DcurRDME2aTAMM2uHF1j7XzKzzwyCb9vRFFXvDHv/c0bsPhLe+8QK4UeVFy7alDnnrygAsP9mg0XUCRpgXPXt3nne+5hH632s1Ob4KcrwCuKaVuAIjILwLfCdwZEBTQkMUZbR0YAfmp7P157psjhuNa9NabfPx3nkHThaIo6R9M2TjXplQlAhRZQRjGaKKxtzNCdGFjq8Nw4NPr1pkEMbMgJlEFhSoplVBr2ni2zXy6SF/t2iYKxVqvieMaHA8DojwnTFI6tkPDtdlcaaCZOntHE1gOHAvihJVWnUIWE/F4NQdFyTxMaDUc5mFKGOfUXQjjhIkf0uvU8eOE/jSg16rh2CbzKMU0DP6zr37n2X7glTcMt+5iOxbj/gS37jA8nFAUObORDxKgaUKel5RZTl5qJElGGqbopoZSgm5pxKFOnuegCeNhwGwU4jYcbNeiu94iSzKUKinyxfc9midE0RxNQJTCtBfZf68+doMoyuiut4j8GH8W8ezn98iANCtA1zi6PcCwDPRLGorFyV6W58xnEe27ON3nKV2BnwN27ni8C7z/eev8A+AjwD7QAL5bKVWezu6/1H0TEBaESw/1KJUijjIMU8c0DfpHMx55dItrzx4RRzmiCVGUkuUlqlRouk5rpUaQ+YRFQakUWVbQqNkQ5zz17D6rnQaaLjRqDmuehWgwHIX0xz7thosuQs112Vy3Gc8i/GGCHyfYpknNXVRPOe6y22iUUKs51F2HOMtAoOk5HM98iqJgtVFHNzUQSLKci2tt2jWPrW6DIMlYa9UZzgOatWpQWuXlpXFKkRd81be9l8c/dpUkTFDFonu2P5rjNlycmolh6WRxRpGX6Ia26OCQpGi6TZbk1Nve4upYBMuzON4b01lvMh8F2DWb9ctd9rcHlHlJkmZE84gLVzZJkowkTAn8mNHRjI0LXVRZcrw/xnJNxsMQTOHcQ2vMpyG+nzA4njHoz7jy6BauZzGfFWcw7ubE7RarIvLYHY8/rJT68CvY0TcCnwG+DngI+C0R+V2l1OwVbONE7tmA8HINLa/GeOSz0lv0SiiX1UeTYcDuzoCSktHQZ2XVw3Qd9naGmNbicjQIQoZhRKEU690aChhNApRAGOcoDfx5hO1a2LYOItzaGeHVTKRcpL144PwqosHRcM50HmOaGp69GAextdZk7Mds74/Z7DUxNY04SdlaadCfhvhRQt1bNFpvH09Zb9eRsuRo4lMCF3stjkZTJn7IVq/FyI/4/c/fYrVZo1GNVK68jDwrADBti3q7zrmHN7n95C7hNMKtuygg8VNqNQfvXJfx0Yw0TglmMU7NRqFodWs4dYda08WpOaRZTq3tYpoGx8djVj2L/VvH6LpG50KHOM4RXWM2CZkM5qxstHDqDnGQgAi71/sYlo7rWai4wPYsZgOfIC2wLB1D18jTnMkw4Mazh7S7dWq1uzeRT6YKDuLRSVcfKKXe+yLL9oA7J504v3zuTj8AfEgppYBrInITeCvwR6+gyCdyTwaEEza0vGKOa5KlBbajoWlCr9fg2tMHiEAUpfjziCQ20KYx62sNTMtgf3+C7Zn4eba4esh0bEPHsU1mcYqmCbqu43kWnVaNmzsj6nUbETBEY3WlwUrHI05zDgczikJhLi+1z623yIqSW/tj6p5FUZT4UcrmapNpkLA3nNOuOUyDmDTP6LXrtLKCtFSUWUmz5pAXJQohSDJsy6RTc6k7JklW8LntI/7Uw+eqnkaVl2R7Fpqu44/njA7HiCY0VurEYYpSJUc7Y0I/QiGo/SloLDpMOCZKLapOoiAmS3Pcuotu6nQ7dTo9RRKneDMXzdRJJgHtXoskyoj8BMMyQIFh6tSaLv40IvJTaq2CNM3YWFvBsHSORyPQhDjNcVyLjYurzGbhcpKqgquf3eFd73vgrn5mhhis2yunsalPAldE5AEWgeDPA3/xeevcBr4e+F0RWQceAW6cxs6f714d7fGFhpZlS/pzDS2vyea5LkGQUOSL6rfZLKK33uI9X/EgRV7i1RZn+MeDOYPjOeNxyNp6k4uXVkDT8FwTUYr90ZzJLCJNMgxNY6XtoiHMw5iyKMnzAsPUaTY8NtcaHI18dg/HaLJou1ht1Ti/0WLqJ4znIfMwoVSK5nKinLJQ6PpiNrWyVDRdm/44IIoLNE0jiBLCNKfm2IvEeEmKrms4tsHO8ZhpkHCu26IsSyZBNR6h8tJ0XWfr4TWufvwax3sjIj/m+PYA0zHxWjVM20DTdVRZEvohcRARzCLyKEPTBNE00HRKgeHRhOHRjBtP7HB0+5g4zOid79Bqu5QFFEXJdOCjGcLaVps8z8mzgslgzvh4yvmHeli2iQgkacbtZw9pN13avSaGbWE4Fge7I+I4ZetCl9W1JhceWGVltcHu7bs7LkCpk91eehsqB/4q8BvAk8AvK6U+LyI/JCI/tFztfwK+WkSeAH4b+BGl1OD1eE/36qnjyza0iMgHgQ8CXLx48UQb7azUeeDhdXa3B5RFyWwaceHSCiJCWSr8WcyTT+5hGTqOZ3N0OCGMPDzPotepk5UF0/0xuga6CFFWkCYZcZgS5wVuzV50b0V420MbZKWiP/bptFyyvMC1TLrtGo5lMPEjjscBa90GlqlTFIoLmx32jiYchwFr3SbTICIvCpp1GzEUcZ6h6RauZTJPFukx8jRjFqd4rkWSlYzmEWvtBs26QxAnZEVxSn+SyptZnhY88I4LWJbOzrN7gIAq2b66S3OlgVN3mBzPF2flRQF5CbqQJSmGbeI1bOIgpdGuEc4jbMdEdJ3B3ohWtw4omqs1ak2HOEywTJP+3hhVqP+fvTeNsSU97/t+b+3r2U+f7tPdd99mhhwuGpKhNsqQrCiAowiCEBuxDdgWYAhQ4ARBYkfxlySIACtBlBhxFFs2hFhJBEdBZEiJ5FhSYktORFqkNnI2zty19+Xsta9vPlSTHlHk3DucO81Z+gccdJ869Va9/d5z66l6lv9Db81HURWqoqYoKsJlhKZrKIqC5Zh4nk0cp815FUFRlBiWTZ6V6LpKq+3i+RaLWdQISZ5TTcLT6ocgpfw14Ne+ZtvffcPvB8D3P5WTPYZ3q0F4LGdBmZ8FeOGFF544mjQctWh3HWQtWRt3ODlasb83Iwgykrig2/Vod1yWqwRVUXAdg6ODBcLWmOc5iq1h6IIyq3BVvWlIs4ixHANRQ7/jsrHRQddULE3h8KSkVFXWuj7XLvV4beeUB4czOn6TMpfmBVc3+yyChIf7M3zXZBml1HXF9lqHo3lAUVfouk4QRwhF0HYsVFU02VGqyp3tNSarGN82GHZcFEUwD2IURdCyLxqkX/B4lpMV3VG7CeKeLCnyisVpQBrlGHZGGma0ug62bxGvUrIkRwiJBCzHII9zNi736Y97CFUliRIWkxhFU7Fck8nhnLXtPllcUOZlUydTSdy2g2mbTI8XlEUTyE7jgsu31gnDjDTMCcOE2SxmfHWI4VmslhG1lBwfLUiilE9+5x3qSqJdSLW8bd6tBuFJAi1vmfk0ZO/RhCwr0TSV4XqbcBWzvzOhLCpWQcpyHtMfePT7Pi3fZrVKqBTQDYVqWaCbGp6pkwulufuuJZVQsQyNqqwYDjy6bZtVmOI6Jt2Ww7O3x5zOQu7vTUmTgiKvyLOKYdfHNFSiKKMsK+I0x3dNfMckyUqKusZQBVleYhgaPd9hEsR4jkFdSXaOF1iWTpyXzKOYVZpydb1PlGRMVxH/xieewbswCBc8AaZjES0jgnnE1q0xw+0Bf/jPXsTyTAxH53R/TpIWlHmFqquNbEpZgoQkyjAsk8UspKyh0/cxDIPNK87ZHX9MXTUdBydHc9a2eli+w3IeU5UVJ3szFE1ldGlAGqZkhsp8EhIsIvqbbSzbJM5KyqxkMZvQabsYroHlmGyMO8ymAaomuHF741wrlt+PhZ/vVoPwJIGWt8RqEfPaKwd4voXjmkxPV9x99ZBS1ly/vcFrL++TxDm2Y3J6GlDXktFGh+GwRa0rLIMYTVUwDJ0wSEmqEkVXsA0do5asD32yomYZpFiWQZoWbK632Rw3dQ6zZch0EWPZOq5l4J3JXh+cLlglGaNBiyBu3EDrgxY7xzN0qWEZJosoIU0rHMfANQ1kKVFVwe2tIZMgQVMFvmOy1vbpes2Tx2a/TZoXSAnnXNV/wXuQ9StDXv7sjDzJEYogzwq66x28gc/dP3qEUBSqqiY5Cy6rmoKq69ieAapCWVakUU4azYiDFNs1ybOS1sBD1TT6Gx2EUM7iA4LDe8cYtoHpmI2kTNsmjVLCZYSqaci6xjANPM9mtYrJkwLZajID+xsG/bU2UZIjhEISZzieydpG59zWK69LDpL5uZ3vvHhXGgQpZSmE+EqgRQV+Tkr50ts55uH+HMdppHUfvH5MWVbUdcXDexOKrMJv2Xi+zcOHJ6RpgWFpzKYrilLidm3aHRfHMdifrIjyHMPQyIuaUlR02o2ukG1bTUc0Kbmy3afl2URZzt1Hp1iWjqmrVEXNzStDDichr++c0uvY1EFCXdVcGXc5moUkZSOBHaY5Hd9hw9LZn66wbQ1VERzNA0xdx3dt0ixn5zjBd23irIBVwo2tPtc2BkRpRpTl+BdPCRc8Br/rcfPbrvOlf/EyD1/cZXowp8xLpJQYmsZg3GV+vEA3dVRdIYtzpKyQtUQ3FEzHQDdNyrzA8S2W05BW3yePC+oqozX0KbKcPK8a37si6A5bCJoiNUVViIMUt20zWG9zsr+gLEpODxfkWc7lO2OitARNIc8rHt4/5drtdW4+OybPCrYvD861O6ChaGxYTyXL6F3Fu9IgwNcPtLwdkjjHsnVOjpZUVY3jGEynAatVhHmqsphHjDd79HotVEUlTnJWy7jRGVqlzKMEzdaxLJ1KQn5Wom9oClGUkZQ1W+tNv2TPMen3PV5/eIIQAt1QURSFK9t9jk4DHuzOUFTI8pyqNOm0XBQBQVyAbO6CPMfGtWG6DGm5NqaukhVNYLq9bnG6jKjqEk1TUFFRBEhZU5YlmhDoalPF+bTq6y94/9MbdfiOH/oUSZQRrxKyJOd0f0pRFOiWQX/cpa4k4SIGKTAdg6qskaVEVxVsR2fjuU0UXaO33iGLc6anSwxdJwsz4jhjfHWABOqqScg42Z/SGbRo9XzqqsYwdY52mjTTVt+lLutGE2kWkQuB41lNuqqAYJnw+sv7bG4PaLWdc10ryfvzv9a71iA8bVodh+U8Yj4Lqauao8OYcJnQH3gUZcViHgOCIMgYrHlsbfWZWSZxmrEKmw5liyynBoQm8FyTsqiI8wpDb1I+QXL72gjNUNk/XKAoCr5r0dNcDidLjk5TVmFKECcMez62oeNaOoap8+hojmGomIZBmKS4to4UOvuTBVVdY+o6QZIQpQobvRa1lMzDDMvQsQ2dKM9xLYNh12ceppysIlxTx7loknPBWyBPcnprbYY/8DF+///+IkePKmzHIolToiDBtE1QBYatk6cFdVWjqArzSUiWNzUx7YGPYRm4bRdFUymKEirQDZUsylguIkzbQNMVHM+h3XMJV424nWEalHlJZ+BjexaHu1MURZDWNQqwfWvMYpVSFk0s42BvRn/ok2WNRth58j60Bx8cg7Cx2WX34SmP7p+gKArT04Cyqhhv9ZlNg0axNG0yGmxHZzaL6fVdttf6vPboFEdAFSfUgJSCxSrG1FVcx8JQFQxbx9Q1giAFXUHXFARgmBq1rJnMQyaziGHfAwSmrnFte8DuyQI1yrAMjaQo6bVcXFvn4HRJv+NgqhphkjFou/iuxcFsSVlX6KpCWlUopUDXa2armLKqMXSVKCmo6pof/s4Po140FrngLVBkBSCwWxb9cRe36/KF3/wS8XFKWUjSOGx6FCgquq0jAaGqUEkQMD9dkiYZpmNhGBpCU+mP2kwO5s2TgQRVUVgbNzVBSZgQLHSmxys2Lg+wbIMgiCjLit27x7R6Hq2+z2QaogjB3r0jVMvg5oe3GYza5HnF2qjD3sMJz37kydLPL/jGfGAMgm6oGIbGlesjHt47oawkqqpx97UjPN/i5u0Njg5XFGVNLSWLeYiuq0xmIeiC7Us9dvam5GVJEOcURdUE31YJtqWxudVltojYPZqj6SqKpvL8M2OOZwFHpysEgroGJGytd6jqmpNZSFnW5LLCdy1UTRBlTaCslpIkK/EcgzgrOZyGjIc+QkpWcYplGrR0lTDN0RSFy+s9HNNg0Pbot+HmeMhkGbHRa32rl/6C9xCmYwKSLM4RisJw3GN8dY04SInDlHxWnLXPVMiTAtc3sSydGrAciyIr0DQVw9KZHS0ZXx9ytDPBdky8vtdIagvBchExP1nSW2/jtlyyrELTNSbHCzRNQzNUTNvAbVlkcQZlibAMainQhWA1i3A9m97Qw/FMFmeNrR7XzvNpUdQV+/HiXM51nrypQRBCfBr4C8B3ARtAArwI/CrwP0spl+/4DJ8SYZCi6Sq3n90kiXKKtCAIs7N8arj32gntrs2NWxscHy9ot22EkMynEZqnk8cFhqYS1xVSafrICinRRfMk8OrrR3TbDqapM+z7CE1wf3cKAoqqRlcVPM/AdnRUobB/EqLqCramkVQlHd+mqGt2TxYMuy62oVOUNZ5j4msqcVaQF43hCNOMmgJdFSzCmGkQMe43fZuLsuQTty4x6nrMg4SirC5aaV7wxFiOyejKGjsv71LkBXEQszgNGF9dI5xHeC2beJWQxAWVWmG6NmVZ0hv3aPV8QNLf6JFmOYapIeumj7npGASTgCwrsTwDIQR+x8Vve8wnK+JVjG3rJGHO9vURZV0Th3M0UyOYRqxfGeCttXhw/xRRweQkIE4LOv0bFEXVVFOfY1BZFyobdvfczndefEODIIT4JzRyq78M/CRwAljALeBPAb8shPhpKeWvnMdEnxZxlGFaGs999BIvv7jHahVjGCrBKiUvS6KooN21GAxaTGYh3bZDqUuOTgMMUycvSyxdxTAsiqxCFaCoCnleomgKdVmz1neZrlKOpwEbwzbUFZZj0u86PNyfoSgCQ9dI84L1sU9ZS3ZPF7Q9C11ViJKczUGbaRBxOF2xOWyjCMkqSnFci37LZRElaKrG1qBDUuRNcFkorLU9KimppUQIzr2T1AXvfS7d2cRp2YTLmNe+8ICqqKgNjWAeAuB0PVAS4jAhizOEqrA4WREtY7yuh5QC0zHxuy6KrrGYBFRnXdi8joPfdpierMjSktnxgtUiYuv6OrWUTVr3KmExixiOO5i2TpGWVJVk794Jw6GH0HTyokBV4OU/2mFytOK7vv+5c/6uC96C2ul7hjd7QviLX0cvIwR+/+z1XwshBu/YzJ4ynm+hKAqrZcL0tPmCFnnFpStD0jQnjnMsSyMIYoIgodNz8DyL3o01pqcBMzMBTVDEJVKCpjZ3PpWuYukqtZSMRx36HZeD04DLW13CJCt2JbAAACAASURBVOXyZg/bNtg7nLMMYqihKCvaLQPXMVmFGbWAoiwpihLfMSgqOJqvsG2Duq7J8pLxoMMkiIiSjI5nkhUVO5M5ax0fUJiHMeNuGxTBzukMy9C4vtFHO6dH6AvePwghGG72ef4zzzVS17rC3S/tkKVlI1WdrJq7ftugqoGyRslLQFBkJYtpQHm0wGs56JZOp+/T6jaBYwEc7U6oK+itt5uYgqZR15LVPKKqa2pZoWkKrmeTpDlpnOO0mjoHZUCT9pqB7VjNfr7J5GTFeLN7fg1yeH9mGX3Dq8VXjIEQwhVCKGe/3xJC/KAQQn/jPu8FNE1lvNVl5/4ps0lIEKTMpgGrRYSiCi5fXcN2LJDgOgbLecTezozpyQrHNbiy1afn2nTc5i4+jHLKsqLMa2QlafsWSZpzOg2Ioow8r/BcC5AEUUKa5+RFjWFo6IZCt+WiagrTVYwqBJauUVWSYdvDNAXLMEUVCq5pEsYZQZLhmSZVXaOpKuOeT9uxqOqmuY+QgiDOSLKC03nEyTxk1Dm/ZiEXvP+Y7s+4+uHLfNuffp7eWhvN0JCypkgbN2tZ1KhC0F9v0xn6uG2Hdt9DCDBNA91UCZcxlmtwtD9D1jVCNOrAw60umq6zmKxIoozFyYoiLbhyp0uvv2S8uY+h3iOaHXP12TGGbTSqxFHOzmtHtNsON+5ssHGpz/pmjzJvGuRc8PZ4ktvH3wYsIcQm8OvAXwT+x3dyUu8UYZDx7Ee3efYjWxRFE8TKsoqd+xPCIMX3LS5fHWA6BrWU2K5JsErYfTQlDTMUVdDuOAiFM9lrhbIqyfOCOC44Ol6QpCWzVcTpNKDr27x675ggzFAVlaqsWR+06bd97h9MKMoSVQjSrOTKRh/T1Li3P8XQmmrOrCjYHLbQdZU4zVE1AVJyMFmSlhWaqpLlBUjY6LdpuSZdz+b65pDttTYHs+BbveQXvIcRigKyqTsYXV3j9gvXcVvuWUqoja4rKKrAsnRkLfnQv3aDzrDFhz99k6sf2mx6KVQVVSXJk4LRpQHOWZA4ClIOH52i6SqjrR6mZ9HuGbjWa3jeFK9t0uqU3HpuhmBGVRS4LQvF0NAtkzBMefD6UVP307IQQlAUF0KOb5cnyTISUspYCPGjwM9IKf9LIcQfvtMTeydYLeMz6QqLazfXODqYsb87p5aQJwUPjlesbbRpdxz8lkUQpMRpiuUYFFnJ/jygVhUMvcmA0BTIsopU1oi6RlYCVZU8e3WDo1nAPEzR1Cbo3PYdKq/i8HSJaWhNdlFW0fVtagEnsxBFEeRlRZGXbPR9llHGURFimzpBkiIQbAzazFcRZVWjKQpFVbNKAixTY5VkLKKUZ7ZH7E+W7J4sWe/6tC86p13wTTDc7vP6791n//VDjh+eksUZuq4yuL7O8c6EShGgaixmEaqmcvdLuxi2QTCPsGwD27MYXxuh6iqq2riTTg9mmE6TPSSrms6gRZrkBLOQ8aWIIo2padNda3FysKCuFHR9h9VkzPWPXOZkHlGUTVfDg50phm2wnMeoqsBxzq8iP69LdqMPpnSFOMs2+vPAj55te0+mrVi2TlGUrBYxXsuim7XI8xpVi4jTnKKqSJOUyWlAf+DS6Th4Z4Zh5yDCcwzyqmm/iSrJFQXd0dFqiWHp+J6J0FTmy7jJLsorWp5NEGeYukKaVwRxgmW2sA0dRUiGXZfjWcRsFbMxbGGbOlUtsTQVU1cJ0gzH0vEdi5NFQMuz0DSNOM3p+DZbgzYnq7gxUoXKoNU8wViGAVLy0qMjPn5jC8v4wGQYX/CU6G10CRcxWdpU0E+Pl8TLhOnJClVVqKsa3ZCkcY3bdjjdn+L3vEazyNKR9QKv6zZtaBUFJJi2wWi7TxJlLOcRKAqraUh3vc3mpZzFzETVaw4eTnB8C8f1qOsppg0PXjvEci1u3FpnFeYgmpjg5/7Fl/nYC1cwrfP7juuKxqbTO7fznRdP4jL694GfAP7xWeOGa8A/e2en9c4w3u4xnYQc7s3YvX/K/deOyNKcq1eHjDY6tNs2cVKQpjlpWvDw/inBKsV2TIbDNr2Oh6wklqkhhMoqyUnjjKKSiBrWhm2yvOJ0HqLSpKaO+h6eY/Jwf0pdSRShkBcV1y8PEIrC3d0plq4hkdS15Pq4T1qUTBYRpq41Y5B0Ww62aVCUNYoCuq5wMFsRZwVVWfLwcEZWVCRZyf2DKYswZmvYiH3Ng/hbvPIXvBdJVjH9jQ4f+94PoWqNy7OsJVmSE84jsjSnrCoMU8d2DWzXxLIMOgOPaBkDkjxpGuCMrw5BFaRJRriIOXo0oTdo0el7tPouftukllO2tg/Y3DxmvDXF8WoUVVIWgqpWKGtJWVZkaYFl6QxHPusbHUbjDpZjcXzwnsmCf9fyWIMgpfwtKeUPAv/d2fv7Usq/9o7P7B3Ab9kICbZrE0U5SVKQxCWvvXpAXVZcu7nGaKNLp+OQJCVJUlAVJTsPp0RxhueZ+G2bTEqyvEARYBgGhiJIipK9wzlhnFLVNa5jYOgqn39xhzQrkGfZRaOBj6bCweEcISDPS7KyZNzzSbOCo3mApakUeYUiFLbXupyuYuZhgq4oJGmOqar0Wg4t20ITCp5t0Wu5FHVFjSQvq0aUTFdRFEFRX/hWL3jrFHkJQhDOE9yOy/XnL+O3bQxdxe7Y6LqOqqpoWlN57Lc9nvnUDfyOy/PfeZvBuIdpaVR1xexkyen+FK/tolsGrZ5Pe+ASBinLaYip7xKvImzXxWmrdPtTrl59GVG/QlEOGF/bQIrGRbr7aMpiHrK+3ae/5tPpunR7DqfH51woJsWTvd5DPNYgCCE+LYR4GXj17P1HhBA/847P7B0gWCZYjsELn77GYM2n3XHQNAjClOkk5P5rx8iq5trNdUYbbbq9xjDkWUFdS16/e0IQNO4Zz7OwDZ1a1miaimXrhGHj568qSZIVVJUkjnOEEE0ZvwTPNikrWEQZpq5hWTq6quC4Zz2V4wxVU1F1laIqSPIcQ296LWiaQrflsD8LSLOKuq45WobkZYVrGShSYGoaN7eGaKrCZBU1Ka6O/a1e+gveg9iehZSSxekSy26KybprHbrrHdotl7qucXyLqqw53Z+SxBnHuzOW04gsLuiutUBpGuHUNbT7Ht1BizhMiZYxs5MV08M52zd6jDZL0qxPlqnoygmOp+D6BZvbAcO1I5LgmOGaT6vnoZs6CHj1xT0e3T2h12+y6d6HWaDnzpM43f5b4F8HfgVASvlHQojvfkdn9Q6R5xWKIsjSglbboT/weemLezhuim4ozGcxWVaxXCS0OjbXbqyxWCQIDU4WEassx1WbwhlNEQyHPqusICsr7FpBqILrV9dI84L7uxNGAx8AWUtuXRmyc7Tg0cGMTtuBsHEfXd/q8+BwTpgV2JZOEpQ4pkbLt3l0OMGxTExVIyhyPEVB0QSO2Yh4dXybvKyYRwmeY1DUNQ9PZgAoquBgGvADn7hN6xyDbRe8f3BbDmvbfR69skcS5ciyJpiHGLpKnJcYlk6aFJRVzWqZoqoKD1/apdXzCZYRy3lAq+cz3Oqx+/ox1AqTpNE6Gmx2UBQFRVWxHajyAMeO0fSUR/c6XL2tUJVLgpXE9ab0+zElHyITm41eGIKqrFjMQ+6+esj2lQE374zPbW3yqmI3/IBJV3wFKeXu11QBvid9EJ5vUleSNMlJ4pygqrEdg0tXRoRhTJqWWJbGfB6RJBmLRYJUJYUmsFwDt6pQFdEsmiI4nTWCW5Zr0ms5lHXF4WSFaxvoZ+6a9UGLJC/YO2rUT8uqbrKFhi3CJCPOGy2iJCtwLJ21nsfpMsK2dCzDIC8r1no2HiY7kyXDtoMiBNMgwrdNXNtET3M0RWXU9XFNHcvUMHWN7UGHNCspq/pCvuKCb4rLz26h6iq/+g/+H/buHRKtYupaspyGCCGwJKAINE1B0VS8jotha6RRSrBI0DSNNM6oKonXNUnjkn6rhe1YHO/NqOuKsjel1Tpm86qPpoYIRZLGENUqprNOVUnKysC09rn7asWl69vktWRyEqCoCkeHczRN5cadjXNbF0NV2XTPryHPefEkBmFXCPHtgDwrSPv3gFfe2Wm9M7ieRbvn8Nnf+jKTkxWyrpmchnR6Hi3fod1yWK1isrxCNzROpksqoSA1gaGptDsOaVpgOxCmOXVVY9lmEygLNLyuQxRn+K4JtaSsJG3fJM0LoiSn27LRVRVdU1BVQRYkKJrAMnRKWTdBZAFlWVMUEtPQqPOSRZRgGDqmqlLVNQPfJqtqjhYhrt2c69HxDM81kbJmHqXc2OijKILD+YrjefDVAPMFF7wVFEXh0u1NPvRddzjdn5OnJacHUzRdQ1FBljVO28LvuqxtD2gPfDqjFvf+aAdjXSfPSkxHZ/PqkKKqmB5OEAJmJwGOZzK+quG5FdP5GKFPME2JaZZ4fsbhfpsogVarpqx1bE3B1Evm8xjN0hhvd9kY96iqmis31zjcn7O23sYwz1cG+/3EkxiEHwP+NrBJ087y14Effycn9U5z49Y6qiq4f/cEVVeZL0JOjhYMxx38ttP0TlimTMMEW1eYLGNKRUHkgnmcYpo6lqmTlzUtzyDPK6KiwMqbu3Eh4ObVNXYO50Rxim2bVFWN51l0Og4P9qY4loGpa0RZztagTU7FztGCluecNcMpGPV6ZFXB7smCnq7jGBphklPXEts20FQFKWtG/TZ5URCkGUiBrCtOVxG9lkOYZHzp4SGOZdDzz7eJyAXvH5anKz7y3c/w8OU9Wl2XycGMKEjIkgLLMVlOw+ZCLGAxDRCqgufbHO1NkVVTzX96uMDt2Pgth6qqaPU9TPOQw/2MCpOdXZtnPpSwdUkhyzKOj20UbUES6QzWb1EUc9JSUiUp0UmO99wmbssiTXJs2yBLC+I4Px+DIHlXBi2EEG2arNAfAtZoZnlCo0n3t6SUb+rnepIso4mU8s9LKUdSyjUp5V+QUk6fwtzPnbKsWC0T1jbarG92uX5rRKdrU2SNH3Q5D7n/2hGrRYLtmozW23S6HpZlUCBZRjmyklR5TZnXWIaKbZv0Bz6+12Rd+LaJggAhGI+6zZ29rjJeb0MNpqExGrTRDRXXNhrto9mKVZShiqbyuO07dHybR0dT0qzC0FTSNGc8aDMetFjGWSOQp6mczEOmq7Ap688KJDUtx0RTFOI0xzF1Op7DvYMJdf0u/AZf8J5AUVSEolCXFW7HoTvqYDsmuqmR5xVlUbKYhey8esD8ZIWmqtQSBqM2UkiEKrA9g9HWABRBtEwJFym7DyZ0ehbdnkdd+9x7/Sqf/1yHqtZZ3yjw3RpFE2ThXepKY328iaY1fRhmk4A//Jf3ALAdEwlo2jlqd8knfJ0vvwjMge+RUvaklH0aMdL52WdvymOfEIQQt4D/ARhJKT8khHge+EEp5X/x9uZ9/mRpydH+nJ17JxwdLFgbtxmNuwihMJuFxGFGVdeslgmHB3MUW0ezNGzXIEeiVhWyUsmrCkfTMFWVk0lA27XQXYOWZ3HjypDTZcRiFePYJq5jcuvKEN+z+IOXdyERqCq4tkGv7XEwWRKlObqu4dg6tYR+26GsJUmWI2WN71johkaY5az3W6RZiaVpbA87LKOEeRgDFq6lsz8N6Ho2ipIwWQbcGA9ACLKiYtxvsTm4cB1d8Na59vwl/r9f/jyrecjRo1OiZUIwjzE9kyzJKEtJVdWUVSO3HgcJpqzZuDxEAvNJiKzhZG9KFjdd2RRdJQj7uK2A1UqSpyVC0UgyjVdfvsrWpZiiijDNjKIsiEMPz9OppUJRNH3Hbd+griTHB3O6Aw/X+8BX5V+RUv7UGzdIKY+AnxJC/JXHDX4Sl9HfB/4j4O+dHfyLQohfAN5TBqEoKl5/9QBNU0nqnCTJeflLexRZxWDoc/nKkChMmU8jgjCllJIizZkcz9BNHaEqmIbO0LMIVglCEShCIKuzux9VpcxKbMdgTRcwg41Rh7ZnkaQFAsGg61JL2FhrcTIL2T9eoChNqmiWljx7Yx3D0PjyzgmjgU/LcdB1hfGwTVXXX3X92KZBKWtmiwTL1MnKpjHIsO1jGQaqaHSWdE0lKUo2DZ2irPjy3im2eeE6uuCtc/W5Tf7l//EFwnlEmVYkUYYUTeEZiKbAbNjCMDU2royI4oy9Lx+ClEyOljiejTfwSKMMp+XQ32hztDtlegKP7lp4/gnXb/qsopSjQ43ZrGJvx6XdG9LyLY6Pc8abKavgc7ScTW596DazqUKallRVTZIUfPLO+NwksPO6Yjd8VxbCPRJC/HXgH0opjwGEECPgLwG7jxv8JAbBkVL+7tcsdPlNTPRbymIWUeQV25cHfP6zrxMnOWVRMzlekpcFlmnQH3iML/U4Og04mC6JghShKE0WUFKgqAqVWTHouVQKREGGbeqMuh6mrrF5qc9sHqGbKhvDDneujnBsk2WQcDxd0W25dNtOIxpGU2QzW0SsD1oIRUFRFTaGLU4XIaoQXNvsMVlFTdWyoaEJhSwvuH1pyCLKyIsZSOi7FvunCxzLRFcVTuOEjmvR8W0WYcLhPODKqEvHs9mbLC8MwgVvmXiVsn5tDd02efF3voyia2RxihSgqSqdYQvTNtAtgzzL8VoWvfU2uqHT7vusjbuUdc3sYInbsdl97RBN1+mNOqwCmE1d/BVMZjmzScZHP7GgrjTyXCHLFbq9lLX1JV6kUtYatjjg0tYmTudTuP4QVVPPNZhsKCrb3rvyafvPAv8x8FtnhkACxzRlA//24wY/iUGYCCGunx0YIcSPAIff9HS/RSRRhq4rxFFKp+fS6Xq8/KVdTNtAEQpH+3Mmi6hp5q0rKJrCxkabZZCxDGMsXUOzNKaLiCwzMEydjmdy6/o6tapQFhX9vkcQpHziY9cYjVrc3ZmwChMQku31LrevjcjLkl/77ZfQVIFrGYiu4PpWnzQveXgwY7qI6PgOhq6QFgXFmYhdXpbcubRGKWuOpiFXNrqEcUYNKIqD56QEWY5j6FiGxsFshWnoZHmJZyf41jqGrhHG2bf6n+KC9yB1VZOnJbZn0Rm2aQ9bTA7nrE4DNFMnCVJ0U2frxoj7L+0x3O7T6rqsFhF1WTI7XTE7XtIetLAcgyzNaA1cpKby6ouHVFXFwYmkBq7fXMc2IkLRuJFOwwmf/gwYRodVuMJtLUhi2Oi8TK8TUNRX6fY//S1YlXdfFbKUcg78jbPXW+ZJDMKPAz8L3BFC7AMPaITu3lM4vsnx0YIkzrHNAiFOuHXnlI0NjcMDmC40KilZrWJcxyKtSlJDp9WyCHMN5UxeV1cEtqlRZiVoOsEiwfEtNkZthj2fXtvlynYfxzVp+zZhnKEIgeuYZ/1eTZ67uUGWleiayv7JiuisL/J632N7vcuw1+KL9/Y43AtwbeOrtQsfu71FWUt+58UH1Agub3SYLGNWYYbv2QRpjq6raJpKz7exdJX1rsf2WpfD+QpdV2k7H3gf6wXfBI5vYzoG4eECy9GJo5y1zT5VUeO1HRACp+3gtl0G2z3agxaOa5IlOYc7U7Ikw/Ys+uMuZZqThDm2n7O/s2Bt4KE7OieHq6ZAdJLR9rtcvXGMYSZY5opOqyBNXTbHHmnRRtdWtNoZi+mEtU1Jt+tTlwJFu3J+i/IuzNEQQvwHb/a5lPKn3+zzx/VUVoAXpJTfJ4RwAUVK+bZF9oUQ/xXwbwI5cA/4y19JhxJC/ASNqmoF/DUp5T99u+cD6HRdLNsgWJ7gOK8QxwWaCLl1fcGNaymd19bY3+sT5jqaplDGJUVZkWQ5qqJguCpSVTFbNpaioFsKlmMwX0RkeYmsJZqqsDHuYDsG0DTl6bT+pHvm0nqXV++f4Ds617b6LFYxB5Mlz94Yc+fKiJcfHvHs1Q3KSqIoYGg6SFgECaN+i+1Rj6vrPSxD42i24sWHxxRVwaW1LjuncwSiqaQ8XSAUBXmyIEozdFXj2Y+NnsZyXvABw/Ysbn/bNX7nV36fLC2oq5LpwQpJE0y2XZNrz20yGHfZvLFGkVfMTwI6wxYIwRc/9zqKUDh+eEpRlgw3OyiqiqIrGI6OaenUZUUBZGnOfGLy0RcskmBKXkCZ12RJQqtn4XVsVOUU3fSwZY9ub4iquNTlA4Q6Qohzkmp5FxoEwD/7eRv4BGcKEzTX29993OA3NQhSyvosQPGLUsro7czya/gN4CeklKUQ4qdo8mb/hhDiWeDPAc8BY+A3hRC3pJRvuzJa01RuP7dJ27/H668oyLpmvB5Q1g5xWLK+tqDXgUrtM5kJTNsgznLypMC0dZS4QkXQH7SawHDfQypweLCk22u0VJKkoCprwjDF97/xl7Lf8bi2XbF7OKeSEk1T+PaPXGVz1KGqaoqywrVNtkcdDicrbFOjlpI4zYnijG+7tcXpMiQrCmzDwDY0+qZDLWocS2MWpiRpjqIKiqJGVQS+ZWLoGnlRgn0hZXHBW+fyM1v4XZfP/tof8IVf/yN6ozbdUQtFEbgth+/6oRfYuDKiyEu+9DtfZv/uESBZTgP6oyYxIpzHeL5Nb73Dg3unrMIMjkOiMGF8qUdeQX6ypNVZ8PIflCjGJqORx8nxIyx7iuffo6726A4MbOcyUvpnqgAaIKEOQf3gandJKf8zACHEbwMf/8oNvBDiPwV+9XHjn8Rl9JtCiP8Q+F+BrxoFKeXsm5nw2dhff8PbzwE/cvb7vwX8IyllBjwQQtwFPgl89ps91xvRdYXNLZXh6OOc7H+OvUcWeQ6G0aKUIfO5oN9fMl31cXyVUkg0rcbWNZRK4vkGYZCwClN00ainjtbbjNZb1LVka6tHu+1wdLh8U4MAsDFsXExFUTVunrPex+pZNlNelAzaLllRMV/GxFmB7xhsrnW4NOqytdZmuoxI84rvfv4qLz06ZhElWLpOUYTkVYWOCgIMTeP21pCu77A7WdBruU9jOS/4ANJb7/LRzzyL33aoyoq6rGkNfCzP4vjhhNGlIbqh8eHvuE0cpERhSm/U5sbzl9h57Yjj3RmaofHqF3cRQjBYayGUppgyzWpMQ0VVVWynJI9Vur4FwqCUXTYvP6DVSshLBV0LqOoYp6Wg6s+C4kO9BHE+Ei15VbEbPJ0sIyHED9AU/6rAP5BS/q2vs8/30OjK6cBESvmZxxx2ROOB+eqUz7a9KU9iEP7s2c83VidL4NoTjH0S/gqNsYGmGvpzb/hs72zbn0AI8VeBvwpw6dKlJzyVpK6XqDxivH5Kvz/kdKJwtDchy03CTKHTasTlpAKa5lJXNW3PRpOQFSWLeYRl6VBLdh5O8FoWjmvg2AaeZ6PrKmlWPNFsNFX5qiF4w9/FlfUuLz88xrEMxoMWrmWQ5gUfv71F9yxDyDb0PyZHoakar+2fNAahrnjpwTGYkGUFaV5gaBqGrhJEF0HlC94eq0lAb72DYRl/bPsyXFHmJYZloOsaz37yBr//W68ghEIS5USrlNFmjxooq5Dumofr2Ty4e0KeluRlRFWWfOLbb9LumKxOHlAXNTt3T3jhO2fo7iazeYbuLtGyClMIWr0jKnkDUc9RsEG0z2UNDFVl23v75xJCqMB/D/xpmuvd54UQvyKlfPkN+3SAnwF+QEq5I4RYe4JD/zzwu0KIf3z2/od4gtbHjzUIUsqrT3DyP4EQ4jeB9a/z0d+UUv7y2T5/kyaF9X95q8eXUv4sTbCbF1544bHePCkldfkqyAIpI2qZoIsvsjGyGPU7nMxvc7o6JFjpuK6J6xhMj1ZIXftqamjLs1A1lZZrMDkNsWwN1zY5OlhiOTqWZTBcb3Pj+tvz0/faLh+6vsH+yYI4LRh2XDaHHVzb+IZjxv0WR/MVUZbjWSZ3Lq2xiFPcgc7WoM3xIsDUVToX7TQveJs4vsX0aPnHDEJd1U2fcf1fXVJ6ozbPf8dNPv8bLxGsYtpDn0vPjHnw5QOySlJKwc7DCb2Bj24IwkWKrCqiWUie2Iy329RVRZ4LHHdKtLTQLBvb20CKCtUMUdUC6pqqPEZzfhBxTk8IT5FPAnellPcBhBD/iMZT8vIb9vl3gF+SUu4ASClPHndQKeVPCiH+CfBdZ5v+spTyDx437kkqlX/462xeAl96s4lJKb/vMcf9S8CfAb5XSvmVC/o+sP2G3bbOtr19ZICsThDaDUQ9A1kDNZRHaGrF1lrNd3/aZn/2SZQ/zNnbmWLbBnlVUcQ54SJG1VRGay22L/Vx3AWGoXN4uKCqKsbbXfYP5uRFxcb6289P7ng2He/JfaG2qfPM9hq//nuvkVcVpq6hAD3fQQiFVRyRFAXPXr4IKl/w9hhuDzjemZAlOaZtUJUVwTRk8/bGWSbdG/Yd91i/tsa933gRgFkwYbbIGIzaCFWg6iq6Y2JbGrOjAN8vKepd6kxBqDcp8lNM6wGaWlJkAY4foQqVqu6g2ZugSRT7Beo6RCjn6Ap9a7IUAyHEF97w/mfPbmih8YC8sWBsD/jU14y/BehCiH9OEzT+21LKn/96JxJCtKSUKyFED3h49vrKZ11g9WYx2SdxGf0o8Gn+VdvM7wF+D7gqhPjPpZT/0xMc42sn/QPAXwc+I6V8Y3/HXwF+QQjx0zRB5Zs8QWT8iZAZAgWIEUJHmJ+E4iUoVVDbpLlGlPZYzF+iEpcZbHZIo4yTwwWXN/vIqqauGkXSySTANg3GW13KsmyKYgydTC8wDJXPf+EeWVZw6/YGrnt+Adxey+XjN7fYny5pOSZSwmQVESYZLcfio9c28S4Cyhe8TRzf5s4nb7Lzyh6L0yWarrF9Z8zoyvBP7BuHGQVw5+OXefTyPqsop7vmo2oqd185ZL5MyWtIwpTbH4Y7z8SsZjmub1JVL5EXIy7fuszBnsVg/ctUMiEOXsdt2ejKOlL5PkBBUbxzX4e3wERK+cLbGK8B3wZ8L2ADnxVCfE5K+drX2fcXaG60f4/GZH1tsYQnhPj7cQ9dhgAAIABJREFUUsr/5Bud6Ekm88zXlEH/PI0V+23gLRsE4O8AJvAbZxXQn5NS/thZz+ZfpHlcKoEffxoZRgAI42x1GgE4QQhCo1Q2OT7tsApDDo4KQFIUUyxnk8k05PadTTaGLSaTFbNpRFVL8rjg8rU2RVEBgqtX11iuYpCCdsclTXLCIOWVV/b58Ie3Mc+xgnJz0OZ02WjV26bOpqGxCFMujzq0L9xFFzwlWj2P5779NlVZoagKivL1ReWmkwDT1Nm+ts7sJGTvcBfD0jm6P0EK2L7Sp64lritZ356gGmMsJ0RRp+j2jCt3DrG1Te6+MqCsZ5jWCaZRYJsJaZLhGK9QZhGG/f3n+vfndcXu6qkElZ/EK7IHTM8yPaOzDKKPAH/CIEgp/8zZz6/r6j+LWbwIfNMGYfsrxuCMk7NtMyHEk0VPvwYp5Y03+ewngZ/8Zo77pogWQmlT5q8gi3vN00K5xzJsUVcd6rKi1eqgqpKDQ412x4OsRqgC17NQVYVLlwbYrsmjh6fUUlJkBf2hRy1rjg4XrG80aaNSSlzPpKoks0nIxmb3qf853wjXMvjQlQ3uH02ZBzGqonB11GXcP59g2wUfHIQQaPqbX0LqqkYIQRynaLbB1rU1psdLiqqiv9aiP/CJljF1EaJpgtOTgE99t0pVOezcrVHEnEreY/uGieMNiKIblOVdbC8mCttYrRJD8VDqY6TcoimdeucxFI1t/6lIV3weuCmEuEpjCP4cTczgjfwy8HeEEBpg0NyM/zePO/CZEOkV3nCdl1L+EvDMNxrzJAbhnwsh/k/gfzt7/yNn21zgPdNDTggByjqCLyEVD8p96jpF1hktJyMKu4CJqsT4nSGLZYTrGcyXCVlaUBQlly73KSvJpz59k/Fml6PjJX/4Bw85OFhQlhVRmDCdhLRaFqalUxYVyRNmHD1N2q7FR6+NKesaVSgoyruvxP6CDwbdvsfewwl7u1OSIMNpWUxOVuRFRZGX7D2asbHVpu0PsJwIt6XT6pXkaZft6yWmlUCuoJoSTT0lCVNsx6Ouh+TZEEVto2qbSBmBXII4v5uvp8FZLda/C/xTmrTTnzvzlPzY2ed/V0r5ihDi/wK+CNQ0qakvvtlxhRA/BzwPvHQ2BhoX0i+92bgnla74YeA7z97/Q+B/PwsE/6knGP/uoT5EMW4jqstI8XvIugUcIKWOqpkUq5fYP75NkBi0OhZ1XqICaZIx3uqR5yWqprF1qY9l6Vy7toZt6fzO//s6aZo30tUDH9P8/9l78xhJsvy+7/Pijsj7qPvo6nOunZkd7uxylzRBS9YaMmGYsP+iJBIwYYiyTUmAIJuSKMMCLNDQYVgWZMM0TcuSIQuEbAMEaROgtRQtgSK55F4zszsz3dNHdd1VeWdGZJzvPf+R1cPe3Znununumu7p/ACJqojMF/FeVlT84r3f8bXonEwIfIeV1U9mmUYIgW0+dREXcz5lOK7FZJJwuNvHdi2Oj8dEk4T1rRZFqvBLFkHZp95uodQOi2vHZMUI0/HZuByi1Aa9HZDpLlhQCkIcxyCKS/gVB9MUCOGBDtE6O9vqQo8oU1lr/RvAb3zPvl/8nu2/C/zdj3DYL2qtX/yofXmQsFN96iEfaa2/IoQIgDLw0CUszhyVgOEhOEBYKzjWFslgH6M4ZDiuEkYZR/0m02mEkprnLy/zYz/2GmmcEkUZQeDQbJVxnD/62gbDKVeeX2ZppcbhwYCg5CIE7O71eeXlNZrNeRLYnGeXo/0hSyt1PM/m9s0TkjCn0a7geha97gShBVrB7e0Bn/+RJZ5/2UYIiWlaKHWC7VRZf+4FDm5AOOxTqp6QTSRpAqsXRyh5EW3mCAGzW9OcU35PCPHi3fkMD8KDhJ3+WWYJYE3gIrMwqV9k5vF+ujDboI5ApaAjECmLbY93ri8wCJcol0OqocNCI2BpsUq14lGv+VD78PBPebpGurhYxfdtet2QPJe0WyWee34Nay5uP+cZZtALKZVdLNvgxtUjRsMQ13UY9EJW1upsnF9AaY3jxHzui2Uc53XS7Fuk6dcRwkYxosi/AXaVoPESwihhW4paPSQZZZSdPQr9W5jOZzHPqobR08H/xswoHAEps2gjrbV+5V6NHnTJ6AvAV5kd8b0HzJR74jCsDWS8jcpvge6DsLBJaVaW8d2cXC3ySvsivmcjhGA4nFJI9X3ZxHfTblfYvd3DMARaQ6NZQilNo1GaZTTPmfMM43o2eSbpnUxYXK5iWoLO8RivZFOq+AQll3qrxMKyxrIPAAOBheN8hjx/DykPkIXAsno45S7IDdDnQOxSFCl54WO6KwgRoOQ+pnXuTMaVScnu6IkUyLnD/wL8FPAWf+RDuC8PYhBSrXV2RyDn1NP9ZNb5uy82GDbYLyCKd0EeIESJarCDIcZE+edIVIHWNlLOagyZ93HILi5U2d/v842vbyOEQCmFZZt86Ycun9GY5sx5cllZb3Dt7X0GvZBqPUAL2LnZxfMswlHCt/7gFi9+doMXX7kCeh+pe0h5gBA+prGAlkMkNWAKxGhMbOMYqZYo8hxtlDHMEsJsQrEHZ2QQHNNko/pER+51tNa/dv+PfTcPYhD+pRDi5wFfCPFl4D8Ffv2jnuiJ4LRgq2mfRxMTZzUmYUi3B9v7ZcrlQ6K0hBYL1GsBz11evr8knwChBZcvL1FIjeOYBIHD8dGIpcXa+6Ww58x5Fmm2K2xdWmLneofJKKbfnXDxyiLlSkAc59i2QbNdYTJW1Jo1kuSfo1QXIcoUxXsYxhKe9wqDbA9DFOSZRpo3gQaGbWM7SwjjHLMVkQd+EH4W+Oap1PGvM1syAt4PO/1QHsQg/FVm2cpvAX+OmTf8lz9+Pz85tE7QxRFaHBGOb3Lcq5LnJaJkShAEjMYG5XKf7rjK0kKVxXblvseMohSp1fslsO9gGBnD0XRuEOY88yyvNvjSv/k829dn6UyVmv/+GsPqZotSxaN7PKDaCPHcz5Nk36TIjxCYaIYg3qPadHn7a2Uq9bcJyh10HlFtNdB4aCSoIZgb9+jFY+DJXifxmRmCuzP2Hj7sVGutgP/59PXUotUUmb2DZojMDeJwm2ZZ0B00KPs2hrmIacTUG3XWNjaYRClSaSzz3jMEIWaF8z7gncczkDlznkJWz7VI05zd7e7sP0NAa6lKvVkiSwtMKwMUptnGtV8CNULKEkonSHlMlrqsXVjFNNoo+QJ+TSKTmDRuYFlvYzpfwrAetOrxI+Cj1TI6c7TWP/1x2n2oQRBCvMU9hnw/b/WThpLbCMMC8RlU8lsgUgyRU/Z6FLKKEFCkPu/eXKRa6WBaJkoquIdDGSAIXGzbIkky0rQgSXIsy0BrqNfmYXBz5sBM5+PSC6tIqdi+foxSmmgccwIYpsGVl1rAAQBSHmJaWxjGCnn2VZSyKVJNUH0HQQWVv47WVZQYMx4qSrUSwrqCEGcbxPG0PPIJIb6htf6BB/nsvWYI/+7pzzs6CHdqFv0kT7Rt/GC07IJRA93HsFYIM5+6dQvT7HDYEWi9zd7+MqZ7TBi1sC2L7Z0uly8u3dOPYJoG57cW+Be/9R2iaYplGCilWNtoIuYZwnPmfBeVuk8UJhSZwrQMer0JS8t1qvUGSjeJ028gs6sYZgkph2hcZHGefmcfy3HRsoJf3iEIXqBQFqb2MQwXwzjboo2ZlOyNxmd6zofggW9EH2oQtNa3AYQQX9Zav3bXW39FCPENZr6FpwYhfDQZ6DGm7VMp50wmHlG8yjRtMRj3GUVLVM0uphtx5dJz9AcRYZhSqdw723gap6yu13FsC6Uh8J3Z9Hi3x+XLHyQJMWfOs4csJIe7A158ZZMsk8hC4rgW8TRj0A1ptB0MNMrwkCpF64g8yxl0JhhWkyR0EdaEtPcGSdTD9X1qqyU0Xzg7HeVTHNNkvfZERxndzX2lM+/wIJWghBDih+/a+KEHbPdEIcxNtOwji0NUfpV6eR/POSLNAgzLpRIEbG4us7rcoOQrTNNACEGcZPc9drczoVYNqFR8atWZalqp5DIYTFHqqZtMzZnzWMiyAq00pmXiBw7lqo/j2jiuzWQcItUJjvMarvsjGEKgtSaLE1xvm/bSgPHApnuQARFHu32SaYEQq0CMUmdfOEHoB3t90mit/4sH/eyD6iH8QyHe16YbMpO9fKoQ5iLkGnQKWiGIcK2CrZUTsiJm/2SBKPMwzZQ0N1Fao+G7ylR8GKZlfN+NXymNKWZO5zlz5oBlzzS+ldIUhURrjeNY5HmBH3igJcIwAI1prmAYVUbyWwhRJZmuUG2F+AHE0RdwvCaV6jIneyYXXvSQ8gjDuH9U4CPlCbjZfy9CiAn39v1W79X+QaKMvg68escgaK2f6PS8D0VPEMLF8n4Und9AZ2+ClZBEA8bTOqPRkDB5lyRbpDuW1OojWo0ylfL9i9MtL9d5+zt7GIagyNWs9HWhWN9s3T+PYc6cZwTbtmi0yrzxB7dA6Pc1FBaWarQWmgijTiH7FMU7KDXGMGrY1hbJFNIkxw+OsSwD182wzBDHMwjHBXkGhhl/wqN7MtBaVwCEEH8TOGTm+xXAnwFW7tf+XlFGPwn809Ow0+8zBEKIi8CK1vp3Pnbvz5Ti9KeBIKEwXmAwaTEa3iQMCwzDI0sVeycrLC74jEZTXv/s1vdJAn4QjmMyCVMGvRDTNMiKgrXVBouL9zTGc+Y8U2itiaOMSs0niXOklFi2hRCciuysEae/i5KzfAUlI/wqdI8ucLB9hBck6CJAqSGblwtM66sY5ioIA8P4UImVx0ImJXvDJ/rZ+N/TWr961/b/KIR4A/gv79XoXjOEFrNst68zk2PrAB5wCfhRoMvT5Fi+UwlR5aBDwsks7LRWW+agW0cpj6CUcenCKs9dXmEcJmRZce9jMrvIb93qsLnRZOtcmywrsCyDOM4YDqdzozBnzinTMCWOM7YuLaGURmuNaRqMBhGjQUi10cO1X0Iaq+T5m7P3jYJS9S1Wz005uN0CVlhavUZRDMhyi2p9ciqN+4UzHYtjmqzXn2inciSE+DPArzBbQvpTQHS/RveKMvr7Qoj/HvjjwA8zE1uIgXeAn9Ja7zyKXp8VQnhgbqLSf4Uu9smSMYFXUBQm7YaL51hE+QYn/dm6v3G61nk/sqwgTYv3cw5se1bdVGsY9MO5QZgz5xQp1fvxjzPRJnH6u0GRK7TqYRh1DKOGlLso1SXPLISIaC4HuP4q3YMArWuMOhmuX6bWXMF2XkUW1zDNNjOFyDPiCfQh3MWfBv7+6UsD/5rvV2L7Pu7pQzjVM/7np6+nHkEZYdTBeQHD/BqoFMu0qHpvEqc+SXiCkJdQsozWNuUH8B8YhgF6NlO4218gpbqvvOCcOc8S3mkZlyiMiaMUIQzKVY+ikJSr/qmeQY6UYxAGln2RcW9A7yjHc3388pS1Cw5aNYgji0argeO1MYwAJXtoPUWIM3YsP6ForbeBH/+o7Z6tO5buIswVhPAJSmNOOifIIkbTJ4pd0B1sw6J7PObS83+cwL9/HSLbNmm2yuzu9lBSYRiCctlDSsXi4vzinDPnDo5j4boWb3xtG8c1EYZG62Oee1lgO0MgIEm+SRLfRhgj0lgwHo8JR+dRgU8h38J296g1LVxtIMwhwthCa40WmpkC5RnyBM4QhBA/p7X+O0KIf8D391ADfeCfaK1vfFD7Z8sgCHO2lqMTgsClVNnk1q33aFY9XG+Ziq1x/BZZ3qDq76P1+ftGCWmtQWsG/YgszdFaU0jNZ187R6UyF+yYM+cOo35Evxty6YVlsjTHdK5SriTIokRRSMLxm/Q7V9HKQpgDwqGmuVBhaW3AzvWCamtK98QlTca0FmvYVk6W/g6GsYZlXcEw5qVimC3pA3yNDzZZbWYF7l79gPeeLYNgmMtIuY+SOVrepuTB5vIhwmwSVFpYZkouS0ymAVkaMSsW+P3LRlGUkiY5tmOChl435KWX1sgLiSw0lmUShTFpmuO6c5GcOc82Sil2bpxw/d1DTg5HlCqC9lKfxZVdBCtMRoJh74Tx6Pfwgh6ol4miFVRxlVFP4wVjltb3yHOfaPAifjBgPNxGa496O8QvmSASlBphGGfj6M0LyX7/yYsy0lrfkSZ4G/h5YIs/us9rrfUrQogPdS4/iITmfw38Ha318HS7Afzlj5L9do9j/2XgvwEWtNbd031/jVkynAT+otb6Nx/2PO+fz6gDTVTx22gtMXSGMFJsY5c8TRhNbE6GAdNE0qhW0Nr4rsQyKRW3bnbo9SYIIdBo8kyeCn0LHNuCO/d/IYjjbG4Q5jzT5HnB9vVj9ra7lGs+02hEa2mbothjGmWUKhrbHZAnHRw7xDA0eX4VZI9RfxFDgO2FlMsVmq0p6fQanidI40tkmaAoFM2FdRqtKkWxi+OcjUGwTZP1xhMdZfRPgP+cD1BM01r/Tx/W6EFmCP+O1vrn7zrYQAjxY8BDGQQhxAazWt07d+17EfgJ4CVgFfiKEOLKqXP7kSBEgen9IFol5OnvEEYuBiHR9IjJdB3LOaRWWuC4u4xbTllo/5EfodMZ0+tNaDRK7+/b3esRRxmt1vf7Cx4kh2HOnE8rg17IzatHXL96iGkamP0piB363RFJ4hJGXZaWq9Qa7yEsD50sAEdE45xKJWRxxeR4v4mRaXZvmSwsS7SOabcTpMyZxi1cr8XJfkKt3sQk/KSH/CTxsRTTHuSOZQoh3i8lKGZVpB5FacG/B/wc373O9ePAr2itU631LeA6jzDAWKkcJQ9BhSiZ0Bn42N5rDKLnyWWFXPoYqke7tYJbuszeweC7tA46JxPK5e8e+vJSnckkJoreFyUiDBP8wKFUun+U0pw5n0ayNOfG1UOCsksQuNTqPo5rMY0OGPY0Reqhipyi+Aa2PcD2xmgOKdIUU/QpCoEXhFRq+4AiiWziUFCr9FCyQBgd6tUBnqkASZaNEGbrbAepH/D1yfA3hBC/LIT4U0KI/+DO636NHmSG8L8DvyWE+F9Pt38a+McP01MhxI8D+1rrN77HabsG/P5d23un+x4arXN08SZKHoEwSKIBlrmNaV7AsQMK9Sp+eZk8GzGc1nA9SJLsfZGcopBIKZESRuOY4XBKVkg816a9UMUwDYbDKQDVms/58wunsdZz5jx7TMYJWoNlmTRaJQ73+owGEXmRs7JWxbJt6u0KtusynR5SNjVKO0zHA3onTar1PqrI8EtN2osJpt3BMWIOdto4HVhaG1Opr6Oxsa0dLOuzWOYjuVV8Wvhp4Hlmi9h3loweiWLa3z5Nef4Tp7v+5oOs6wshvgJ8UO3nv87M2fFvf8B7D4wQ4meAnwHY3Ly/UpKS+2g1wbBfRBbfQagBtuhhGTm1iqAzyMlSh8FoSNKNwDjCNASb60PGo4TJJGb75gm7+wMwZmuI5bKH59uUAo/Ncy18z0EI5n6DOc88WinuPB6blknneMx4EAF1ytUTLNumVAcdLpClG5gMKNIh9SYIY4IQMOlXyZICzy2wzYJmUyBzzSSsMBnWObid0VpULK2tEpR+EHGGUUaCJ6OS6T34vNb6uY/a6EGjjN4BCq31V4QQgRCiorW+Z71ZrfWf+KD9QoiXgfPAndnBOvANIcQXgH3gbmHU9dN9H3T8XwJ+CeD111+//59GHoFRxRA2uvCx3SrFpIGlh8iihqlvkacHqLREmp/HLzVZXa7x//2rd7m4tYBjW2gEWVqQS8XiQoXxOEYYgueeb7G3N+Dlz6zftxtz5jwLlKs+aZxzq3vE9XcP8TwbayFgPKhRrTaYpm9hMMVxXJLpOVLPJkt28UsJ5XKFYRfGgxKTcQnBCY6t8H2HxdUJdiciz1dJplWkbDEZLxBOBJUz9PFmhWTvCYwyuovfFUK8qLV++6M0epAooz/L7Em8CVxktoTzi8C/9XF6qbV+C1i86/jbwOta664Q4teAfyqE+G+ZOZUvA3/wcc7zfQgTUGidIsixvYuUKwsM+v+a4cTDtm2msU2snqNZO8HxL57WZIc8l0RhShA4tBcrRFFKo1nGtAzGk4ROZ4xSiksXF/EfIJltzpxPM0UuGY+mDPsRg15Enhc4Tohf3qbakoShot/zkYWi5MPK2gHxWNDrbiLlCHKLck2xcTGi30mxLJ/D/QpZOqVajahW1vHLGY3GEdVmSpi+wMFOl+de3rh/5x4RjmWy3nyio4y+CHxLCHGLWfy84DTs9F6NHmSG8LPMHLtfZXbE94QQi/du8vHQWn9HCPHPmMXQFsDPPrIII2MdnX8HpVJ0sY0QHiVvQmi38PwtBAnNpmDBWcEyRhycdEligywtmIQJppjVaUfMctts26DXjwinKZWqj5SSt9/Z58UX1/C9szEKSVaw1x3SHUfYlslas8ZSo4zSmmmaYxqCwJ0bqDlnR68zZvu9Ew73+kSThHLVwrSnLK3vMA3LdA4L6k0PZ7xLvZYSBBNUHlKqVakWQ4R2GA0slIqptyRK1ggqAwLPYzIqYYkC21FYtoEwNEpcpFTq0Os1zn6wT/aS0Z/8OI0exCCkWuvsjvNXCGHxCL8KrfXW92z/AvALj+r4dzDMJVTxHshvo4WD1jEGGt/Zw7IUhnDoTzaYhBOKfMTOnonn+bx37ZiTkxG+YzMeJ5TKLrv7fY66I1zHotkooZTi/NYCwjDY2+9z+eLjl83MpeTbt4/IC0nFdyiU5r3DLoeDEWkhkUqjNdQClytrC7jzukpzHjPxNOXmtWMqFQ/LNGguamz3Kl58myztkmY2aVonz5ssr2paC11uX11FmIKlVY2h65jubfK8yfF+GZnHBF5CtWFj2AnxZEwceuze9qg3TfzKKl5tAWSfau3+yoaPnCfYINyRQP6oPEjY6b8UQvw84Ashvgz8H8Cv36fNE4hGIDDcL2G5P4whGqANbNdFFX1kkdAM3sDIv048ucoklOzv92k2AjzH5qQzJsty9nb7lAKXySRlMkmQepZvUKv4BIFDfxB9V6jq46I/npLkObWSh2EYOJaJbRr83rs7WIagUfZpVnyiNOPafuex92fOnGE/wjAEpmXiBSam/S55ZjHsKZSqUqQOC8sHtFo7lMsDhC4o1yYIIbGMCMvqUa7arKxrmosRptngYK/KoGOTJ+A6VdY3I9bP9VlezUA0ONofkGcFS+v1T3r4nwoe5LHxrzLLHH4L+HPAbwC//Dg79XgoAIlhBGhtI8wmmIv45ipZ+m26vRABVCqC7niV5y8MuLFT5cK5RbqdkCwrcHwbKTSVmjeLry45XLm8wjTOmMYZjmPh2NaZqKRN4gzHmv35pFIc9MdcP+hyNJhw7aDH5dU2UimOBhNOhiFpLrmy1qYazHMj5jwepFTvX/uVesH1q0OmE484EZSrKa4X0F7K0IXB0Z6mXLUJykuUSzexLZP97Rqm1SXPG+SJwPT6TKMFjo9NquWIUsXA9W3qDRvLmeIFv00UL7C68VnK1YUzHWtWSA4ekVNZCPEnmZWpNoFf1lr/rQ/53OeB3wN+Qmv9fz6Sk38PDxJ2qoQQvwr8qtb6KX7UdBDCQ+sU1BStBiA8EJJSeYvu0MF1JFKUaLfaaNlnoZ5wcDhkOIyIs5xao4RA0GpVGI2nDIcx3f6ENC3o9nxKgcvFC2dzYZY9h6PhGKUtbh33mcQpjmMReA62afDGrQMs06Die5Q9hzjPeHP7kFe2VuZGYc5jodYocXC7h9aaYS+ktVBCSZPxuIQwTMrVEENMGY7HSKXpHbvUa9fwyzF5mlFtuPSO2gjDpVQtaK+YpKlAFj7jseDowCYKC1bWhlRqZRAGXpJgWTfJs7dxvNfPbKzOqc/uYREzAYf/Afgys7yrPxRC/Nr3Rgedfu5vA//vQ5/0HtxLQlMAfwP485wuLQkhJPAPtNb/1ePs1ONACIGwLlEkv4uWt0F2QZsIEgAcp0HgWwhrgeK4YNTPuHFjh/E0J01yptMMoQVpLmm1KpiGQRgmdHshWVqgpOalF1ZZaJ9NyetWNeCN7ZR3do45HoZ4jgVCEDizHIidzpBayaXkOlimQb3kk+YFe70RL84NwpzHQLnisbzRYPdml86RYnG9YGF9THt1gmX5dA4szAUT31+nfySpnpugCo8s2afSqDAZNvHLHp2jNY72uzhWjGm6lEtjBBF+kFGq2ExCn2lcJggkdnAF011F53+Acj6DYTx11/YXgOta65sAQohfYVax4XvDRf8C8H8Bn3+cnbnXDOEvMVNK+/xpGQmEEBeYaXP+Ja3133ucHXscCKOJED6YK4AJagBKY7GH70RMxopxOCRPbfJszDhcJUlzptMUz7MopMJyDK5vH1PkksXlGkvtKkHgcPniEpNo5leo1x9/gsx4mmAaJq1KwMkowjQNHGGQa8Xbu8f0JhFJlhOnBV+4soFpGHi2xSRO73/wOXM+BkIINrYWCEoeYTik1vLwSyOO9yEcHmFYIfs7G7QaPS5c1hjqmGliMuh5DHt1TLOBlAmqCJEFHOyeo1I7plwuUa9r8uMKSh6SpR7xVNJsuXjCRSoTgwKtJnBWBuGjlaVoCyG+dtf2L53mUcEsjH/3rvf2gB+8u7EQYg3494E/xidoEH4K+PKdKqQAWuubQoifZDZteeoMAjoGw8Y0rqDMS+jsayC6JGkTWYyQhY2Qt3EtH9fz+dwrir2jErv7glLJxbIN0kLi2BbD4RTLNJmECRe2FrAdC7eQDIbRmRiEve6IZjlgqV4mkwrXNulPYo47A55bWyDJC5bqZRarZfZ7I+plH0MIKv6jKEM1Z84HI4SgvVhlZTNl0LfYv71KNDqmUmsRDkOW1wdUgzpx2KHetimkyTQUWNYVkvSE1oIkKFe49maDemvE4W6D/R2b1XUX35e4XkbN7zOZNGgsbJBkEaPBCY06COOM9Uce3CB0tdYPs5713wF/5XT5/iEOc3/uZRDsu43BHbTWHSHE01lIg+a5AAAgAElEQVSb4U4uAbOqp1poMDbpjB1cq0q5XJDlLpblEcYbuFbMymLENK0wGiUMwxjTMLCrBqXA5aUXVvE9h24/pNEsoaQ+swqnaV7guzamYdAo+/zh9V2iacYoTrAtg812nTSX7HRHFLIgKSQVz+XHPveRs9nnzHlgplHKeBAxHh4zGmjiUJFlJaZxh9ULCZXyHoNjOLjlsqmaCF2iVFVMwym7N0oMug5Ce2xcyHDsE5ptgzgqyNUV+nshtudhe2McHwx7iG8UyGQA4osI8VTm3DxIdYbXgV85NQZt4MeEEIXW+lcfdWfuZRDuFdj7CQT9PjxC+BhGGyk7oPogt5GFjS362GadWK6SFj2SzGAaZXSjHPRN3ru2RKXiMU0LyiUXwzRQWcatWx2WFmvkhXrfd9Bulc9kLI1KQHcUYQjBQX/MRqvOPiOEEGy268RpMQtFtQwGoaRdKVEveQzChGaldP8TzJnzEdm/3eNgt0c4ien1CqrNnFLJROoTghKMhy554lFkHqVql2iyTq0e4XgFSo8pVTzCYYNLL6QcH1pcunKO9nJMv5Ng2gfc7tbIM8FR/QWef7mDIEYhkOoVhH0BWWxj2VfOZKxZITnoPZIooz8ELgshzjMzBD8B/Om7P6C1Pn/ndyHEPwL+78dhDODeBuFVIcT4A/YLPkhG7CnBtJ9DFTfR8hCoYBghSlawnJu4dohj9JmMlxiNBUKkpLFJnkvSVGKZBo5t4doW5ZLHcBwzGETUagFXrxu8/toWQXA2SzLtasBX371NP5rSm8R4lknVd1molcgKxXuHXRpln5VmlRc3qzy3toAGjoYTtpYamMZcq2HOoyMcx+zvdKk1yhR5QRA0Kde+Q15kmBwSJ4LpVEFWwi/nVJoa1x3RP1yge9Sl2vwM1bpg7dwtHLtPnlrcfK/N4tKURstGyoTNCzmDbkC5VuPNb7ZnCXC2w0ufu4BhVNHyEG1dQojHf20/qigjrXUhhPjzwG8yCzv9h6cVG/7j0/d/8aFP8hH4UIOgtT5jxeqzQmMaNbT9BYTIKZJ3scxvcdQFwR639xbwvZRadUyRwUlnmY2NFpWySxxnKA2TKEWGCSuLNdDw0kvrbJ1rE4YpcZI91tIVeSEZhFO+vX3ESqtKJfDI8g7NcoBGU0hFL5xSSEmS53TGEauNyiw+XGuYSUDPmfNIGQ2mWLaFYQhcz8aw9onDTaJwh6CmUcqnyDJyEVAr7eEFJUa9LpY9ZBqVSKd92isFpumR5ya12hTb65HmWwxuD9m84GL7L2C4VbpHb6IxCEPJxvkK3aMRlbqP95S6x7TWv8Esv+vufR9oCLTW/+Hj7MszVc9A64w8v4rK3pxVPjVbDMaSaXoe007Z3+8ilcQQiktbMddufpZqrUqS5liWgWGa5FmOTAr0qUSm7zksL1SwLRMEhGH62AzCeJrw9s4xUZpx47BH2XdpVQJWm1U0gp1On0Jqrqy08B0L1zYp+y7v7J0gtabkuSzVy1hzJbc5jxjD4P0MfdcviKcjjvZcJsMqS+eW8EsFyxs5vn9MNt3g5PAEz9tEqTr1xX1W14Yc77XonuRcuBIQBAo3OGE8jAlHBdvXVuj2LBaWXGqt53DdXYRosLRaJ56m9E/2Wdt64UxmB+/zKXywemYMgtaaPPs2Wg4QRhOwyNM98uSb1ErLFEoh9SadvgadIlTM9o5FmodMpwkKwWSSUPId3JJDq1FmdaVOUUiStKByeo5HLYqjlKYzCtnvj3h3r0OrEtAo+ZR9l6rv0hlFaDTbJ30GkykYcO1A88LmAkfDkO2TIVopbneGeLbF5ZUzVpWa80xQa5bZvd1DSsWoHxFUfMAnCqd4nku12cH3IZ1GJNk2w4GHSnzaS4dsXlLEo1sYRpdwFHC4J9nYGiCEgeNqPN9EGBbLfsC17xyxdbFFueKzeTFFiCGeVxBHPqa1daZj/jTKXz1DBmGEVkMMawElHSi+jS52ESLGMHroooxnXefSVpUojNneKdEfRETTDM+zcRwb1zEplVyqVQ8lFYfHYzY3muwfDHBdG8s0qFYebejbjcMuR8MJljAoCkl3HJFmEssUjKYJ3fEsi/q5tQVudwbYlslyo8LhIMR3ba6slumHU55bbZPmkn/x1nVe3FxmvVljqV4+kzIbcz79BCWXrUuL7NzosLsdUms5VOuC9uISUg3Jo8uE/RuUKy1U0cQL+ixsdJBFnWk4xbYb2E6Z1XMHLK2UGfSWMM0plnMZx6tgmCGdnW1GA5vtG9BcWML1A7TwKHKDWmONu5R+53xMniGDkL0/wzPMGkpWsexlcpUjpE+ehZRKIyajiCSb3dQvn59w7UaFcsWdVQ6tN1hbreP5LsNhxCRKOToZU614FFLyQz94Bdt+dK6XKMk4HoY0ywFJXmCZJtXAYxgmIDTbxwMGYYjWAqkUz28sMpom3Drq0x1PqPg+5cDlhbUFJknGNMsRYiYHevWgwzTNuLA8nzHMeTQsLtepN8ukaYHrNSjVbpJmuxzsDMhim6O9JZZXU6qtAzYvW6j0kGnY5+C2S6Paor24j1+WZNN9bMtiOPAY9CWNRXCcEqsbDlneRBhQqfq888aQvZ0Stm3y2pckUqozC/sGPpXOuGfGIAjhc2fRT6kILY/BCKjUVjg+rhNP3mIyqaPQ7B+tkmWCdiMk3lygWmuTJDlxnNMbRHjTjMEoZrFdZmW1wfNXlimXXDq9MetrjUdmFNK8ADFL9vFsC8swOOgPZ+GmhsGV1TbbHQPXsliolUmyAlNAvRwwDKeYhqDk2vSnCShFvRwwiVN816biu+wPxqw2a7OyF3PmPAIcx2LrwgLf+tpN5M4Sw0GfWnuJQlapVMdU2zmWuYjQA4pckyUWCI3UmiStEJQThJWidBvbibn84pDxOCccZJjuK7TbFSqNgOvvHGAYBpZt8tIPnCMcTzna7bO21f6kv4KnmmfmTmAYFUxzkTy/CqqHUAOUPCFwS6wtuVwPbbSw8fwW7VaVXjdCqoQ8nXJyPCaaZiRJRrnmM5rEmJZJmhe0myUa9dO4/mlGFKWPLFPZMg0EUEhJnOUkRc5gEnMyivBsi5u6yytbK5yMIwaTKbd7AxYqAQv1Cq9dXGOa5YynCdu3DikFDtVJzKXVNrY5M1iCmdGZG4Q5j5IoSihyRZEphr0apXpCtd6jcTEgyTpkicPVb1VpLyzhBQlbzw3xnD3isMnN9wS2+wO02zdYWDYZDfYR0qHIUw721/BKPrZjc/7KCrJQVOsBpbKHHzgcHQxY2WxinEVI9UcrXfHU8EzdCUzrMjK/isZHGCtYxGhsLPM9ltshjbpNt+eQxgLLslBKASadbkiWFAhTU1E+tmXQbpX57KvnSLNiFm3kO2gNhvno1uQdy6Q3mfL27gmTaYIQguVmFdeePeF7jkVaSAqlifMMWUjCpIBhxA9cWuN2Z0ChFJYpkFJhGDCJk9ks4bQInm19SqOL53wixNOUUT/ihVcbJPERrn9MqVFHFg2k7pJniniqSGOHKASvNKRcc5kOJqRJnzi1yaIpnuPilz0MM0VYW0zjgovPJ4xHLt/+xjb1hTKObbG0NtNBMAwDLRVa6QdTeZnzgTxTBgFiTLOFOM1mlPltyL6KaXhokQFrYAiWl3scHQZMojLHHaiWXWTJZXGxQqnkIgwD0zJI0oLBcErgD2m1KjjuLGHtUaCU5p29E5rlAMcy+dr1CaYQhHHK5y6u8s5eh0E05du3R1xYbrHSrNGullAIbNPgze0DSp7LuYUGS/UKWsHxaMK1/S5xmpNLxUubywTu01mFZM6TSZ5JDOsQbR7jlmwWtzr0joeM+k12rjdZ3kxxHcml1zqYwqZIVznZzxFqEc/NWNvo4nrb2KbHyUHKZPw8ptni4vMBSdLlaPcQpTRJmNE8V+Fwt48fuEipqDZKmGf5gDOfITzdCMzv/iMKiTY3yZWkN7Ho9PoUaQ8lByhjlTBZplabRRm5nk2jUSEIbLrdMdOp4ubNDlJLhIDhKOZHf/jyIws7DZOUKMloVgKalYBxnGIbBtM0YzhNKJRiFKXEacHBYEKz7POFKxt8/cY++6OIURwTuC69yZQvPXeOk1GI79ikhUQYBudbNQopCZOU8tOa0TPnicN2C7BuE08apKliGhvkmY/jdoj1AlpmONWIatNj3InI8lsc3lrG0AHnLuyyuF4mnsRMhmPi2CQKT7BMRbWximUJtq6s0xjmuL6DYQjSJGfn5gkr6002zp+dSE5eSA47j0Yg50nimTIIiAoYAVqNkWqIzN5FqQGDYYzrf46FxVf4g6++R5KYHHVr+K6LbUnyrCCeZqRpTpLmRHFOKXBYXDJYW23w6svnsCyDg6MxS0v1RxLpkBfyu7Zrgceb2wdMkxylNZdWmpQ9m5V6Bde1yYuCnc6Qsu9S8Ry6ExfbMim5DjeOuhRKsdqs0Cj7fGZzGdsyGU0TepPp3CDMeWQYZkyRSbZvneA4JqNJQWPxhNaqYmEtwTAc8mSZUcdFpkPyxKG1PMSxjhDWMuORSTLdxPX6VMSI9uIhQrjE0e9ztLdMNJ1Srvo8/8o60SRhPJji+jYvfW4L5wx9YbZlsrrw8KUrnjSeqdU2IQSW/TJK9pDFdTAqSCmIkjU8t8tkckKjblJvLGNbFcbjhDBKyDKJ0prBaEo0zTGFQaniz7IilcY0BXku2T8c8PbVQ4aj6UPrKvvuLNtZa02UZnTHEfVSQKEVUipunwyplXye21jgaDBmpzPgWzcPOOpNSKXkC1c2qAYee70BN4/67HVGfHvnmLLnvu83MMQsXHXOnEfFeDALuNi60sQtabxyQakiME1Fpe6Qph2m0Qk33qzSOfAJqgesXzSotSKc4IDOSZfrbzuM+iaNlkmjVWI0mHBy6JPEEUXeRxaK/skYx7UpVz02zi+cqTGAWUCG0A/2epp4tmYIgMZGCR/T/gEMYZMXqxhcQxYplrhJrb5JZ3sBx5mVoXAcC2EIsqygyCXVis/ly0uYlonrWIwnKbt7A+IkI00LwjDhnXcPWVmusXXu44fABa7NWrPKbndEdxyhNQSOzWsX1hhFMWXfJckKToYhrUoJNCidIgwQCEzDxADOLbboDEMsy6Tk2dzuDMgKScV3ME2D59cWH92XO+eZp9cp8MojTPsQv6rpD45QxTKjXkJiNygyA6Vyys0OlcqUIl1DaQnY9E+GZImN64VYNgwHq9SaLlK28UsmtWZGnksGfc03v3qD9mIdrRXlakCRS6xHmAP0QDxlN/sH4ZkyCLLoUuRvU+TfQRg1THMRLzhHgUUSDxhOBtze2+TocEwYpURhMotkWKgiLMF4lJwKiRsUUlHEGUcnY7QQLC9WaDVLNBsltNYcn4xYaM+c0B+XraUm1ZLPb795nbLnsFArUS15fHv7iPf2u6R5geOYrNRrbCzUWaqXee+wyzCK+d13b2EIQb3k88r5FRzb4nfevkWcZbi2xTCKqVd85kVP5zwsSmcUcoDWGdjXkGkZwwTNCMtS9Ie36Oy+gCocFtcHNJYlJb9EEo3QOmHv3S2ypEF72adaS2DZwRJT4mnEu2/65FmKHzhsPbfIaKC5cW2CKjTVus/GhUXiacredoety8uf9Ffx1POJGQQhxF8AfhaQwP+jtf650/1/DfiPTvf/Ra31bz6K8yk1Ji/ewDBqmNYqSqXI4gAhBiw2Ne9eu871G0329ntYtonvmowGCnROnktsTJJpSpYrOp0JGk2c5hRSE0Yx3Z7BxkbrztgQQhBN04cyCEIIWpWAV7ZW6QwnOJZFZxiRS0mj7NOdTMnzgu4k4sJyE8cyidOcSZziWibTLENreHFjic4k4sJSk9E0Ye20bAVodjpDXtqc/yPN+XhINWGavYFSGUpJ3PJb7N42yeMFQFDoKqbp015yiCcZnreCyifY1RKJdukeGESTAenUJI7KXHwpoNFssXcz4+RIkMc2hllglH0mwx5RuMnmhSpFoTh3aQn3NOCjezxm4/zC2UYZfQr5RAyCEOKPMROSflVrnQohFk/3v8hMIOIlYBX4ihDiitZafvjRHgwp9xF4COFgWhuo7B2UPAA1YRK2WWyXuXRBYRAzidoMuiHVio/v2aRpwWQSU0hNUUg6vTFaaxqNEj/0xQtM45xa1afTndCslxCGQGuwHsHFqZSmkJLv7J5gmQZHgzEV36NR8nhhY4nd7hC0Zrc7RAhYbVYoBy7L9QpHwwlplvOH13cJ44xWNaBW8ji3MHN8a60ZRPFD93HOs4nWmjD5DoPulP5JjlIJqcqwnByZl5mOS0zjKo2FMesX1kjCMXFkEw4WifsXUVLRbB+xutYjHNn4JZtp6JOnrzAebLK0dIOg4pLGBcKM2blucHAQIvMxy+ut9yP6DEOgmf2vnJU5yHLJwfE8yuhR8Z8Af0trnQJorU9O9/848Cun+28JIa4DXwB+72FPqFWCUgaTUchklOA4dUrlExAm0+kypWCNcjDiMy+OeOMtgblQISsKbNvm8KCPZZkEgcvichVZqNmafmCzsdZi/2jAeJLQH4TkuaRUcqnVAqqVh89JOB5O6E2mvHZhheNhxGF/RJLnNCtN2tUSh4MxV/c7aKVnfXIdnt9YYL1VYzKN2esOEcLANAWH/fH7estGITAEBM5TKTs45wlA6ZiTg0NGPYug7CELg95hhFuOWNkSTEer9A438fweaezhl6cc3LLpHTtUqn1QIa6f0Voq47o1OkcTht0J4ehdhn3JqL7I5/6NNcq1nG/9/glH+4pK3cUqGXiBx87NE85fWSZNCsoVD/sMHcuOZbC6UD2z850Vn5RBuAL8iBDiF4AE+M+01n8IrAG/f9fn9k73fR9CiJ8BfgZgc3PzvidUqsHera8STXxcPyWNrxGN+zTa5yiKBcDC932OT47J8xCpAqSENE0QhslkkmDZFp99dR1hGIzDlGmUMgkT6tWA7dtd4jijXg9QIVTKHkWhHnqWsN8bU/VnkUEXll2kVkyilM44wnEspNScX2qBUoRJhmOZaA3jOCGTiiunSmmtcsCNox5X9zuESYZtmRRS8eVXLz9U/+Y8u+RZwWgQElSXEEKh8imuJzGtEXlhU270maY9OrfX2R2u41dKlFtvsPl8TKk0RagB0GLS3aJa32Q6OsL1rlFrvUu93aRSjekeW5QqL+BVTM5f0axfWGA4mDINE4a9iOODIeWqz8UXVj7pr+NTwWMzCEKIrwAftDj910/P2wS+CHwe+GdCiAsf5fha618Cfgng9ddfv6+/fzQImIYGteYeQoxAROTJgO1bBpNEcdypIyiIojEHxz4nJ0NKvsvmZhPPs7g1iSl5Fnv7QzbXW0STmFwqbtw6JssltarP5UtLrK7UcWyLSZhwfDLi3ObDFdsqpMQ7jZ5QeiZ3duukRy4Vh4MxlmGw2qzy/OYK4zjh69f3ORiMWapX6IZTVusVXt5awTYNbh33EQIKJanYLtWax8koYq1Vm5fBnvORydMCbd0mN38fIRyEryk6JbJskf+fvTeLkSzL7/O+c87dY4+MyD2zMrO23jf2zGhmKIukhoakBwu2AcOQbdgAZcGyDC9PhmHAgB8IGIYhQA82aEHmgx8EQYYJgZJIjERKtDgccoazz/RWe+W+xh5x13OOHyI7q2q6eqZ6urpqpiq/p4wbN++9EXHv+Z3zX8e9BrVqmbhfMOgXlCMYDTuoMGdmtka9ETAZWpJ4wt3rOV5wjGSfZsuhPb/O3naNySghHr/L4W6P7nFMszVDVJ6l1mwzGsQc7PSYW2ywfnX+iYedPqt8Zt+itfYrH/eeEOJvA79jp8H63xRCGKDFtMn0yn27Lp9u+9T0OhnKvQp0sKbJaFJjPBYUmcfq0j6b29tMxiNCP+KFy7NYHeFHPp3umHotYmamTBC4DIcxdzaPUY7AGIs1lsEgQQDVSoh/WiMoDDyGo/RTX3e7VuawN6JWCuiOJozijNV2A2Mto0lKVhTUSiGB57LbHVIOffJC40iJZCoi2hi645hS6LHmz7AxN0O15COFoDOcMIxTqtEvbJvsc54Qxhhys4sxQwQlRuZrIGOwdRAJVt7Gq0pufPsqleocg8MJmg6XX/epVQ7odXYw6asMji21Wg1JweB4k7ByHdev4YgDBDNoXWF2vsb7PxqA7bK41CMMF6g1Thic/BtKtc9hbUS1HrG83npqYvAsTqGelqz+E+BXgX8thLgCeMAx8LvAPxRC/F2mTuXLwDcfxwldV5HFCdgZjKlxdNLBURV87z1874RKpcFguEwcz/DSi+AHHiedCts7PaKSz8JCg5u3j0BMB+IgcHjt5RWWlprc3jwm8B0ODvuUIg/XdUiz/F4V1E/BcqtGbxzTGU3YOupTWEMUeFxaaDGOE97dPuLm3jGFNhwNRtQin6VmlQuzdd7fOeb97QOSvEAAx/0xV1baVKOpGAAgTlce55zzEzAmoTv5Z+R6B2EhN33SfIt6/S/QPY7x/YIkj8mKY5Y3SvhOwHByEyk9pJ0hCmexM3c43r3Nyf4seSrJc8vCSpew1EKYKkZvkecTjvdTXHdI6E2oL0lasxdwg3n63TG97WNK1a/T616h2ihxtNcjvDj7ZCqc3kdeaPb2z53Kj4vfBn5bCPEjIAP+09PVwjtCiH8MvAsUwN95HBFGALMLdd4/2iTUGmuhKAxFJqlWq2hKxMks44nAGE2WlWnPDLh128MYy3icIqSg0YwoRz5HJyN818EPXMqVgKWFOjdvHXHcGZGfZjWHoceVi3Of+rp91+G19QVOBhM6wwmVMGCmGuFIyXFWMI5TOuMYpRQ7Jz3W5hq8sDKHkBKwlAMfay2lwKMc+ZjCoK1BMvUhSASlz6gH9DnPDqP0W+R6G1+d+usKRWzfJawc4HlrDDpDJhNDtT7Cb53gSk00yBn1fUa9MpWSRrohiFu4URcvapMPd+l15ohKF4nKDXodS/dkB518k8AvIeUhrgqw9nVa8zUm44S8cKhULfMrLUrVJoe7fcrVkNbcky0j4TqKxdlnr3TFUxEEa20G/Mcf895vAr/5uM9ZroZcuHyZg+1NrOmC6dBoDmg2ttHWoT/w2dzOAUE8SfH9MVK1kFLQHyRM0pyXri4yO1fF9RxKJZ/hMCVNcoLAIy801likkpQjjyj0ODoeUnkMLTVdNW2L+ebGEptHPRwpSfKCo/6YhWaFtbkGrWqJyHcxxtIdTjBY0rxgtlZhfb5BNfTZ7Qy4ddBhrzOkVgrQ2nB5sX3WH+Gccz6OJHsHV96b4EgRIXBI8/coleZohRq8KoVpI20JrXP8Uo/Na0uc7CdY2yXXR9TaB6zNXsX3XJK0S5ascLzXYn5lFqsV1fINvJZBskCeD3G9nGH3EDesE49TWvM1FlZ9kBVAEZV9jvb6T1wQnlWeK09Me65Jo/lXGI/+hPbSDU56kBZt9g8StNlheblNrxcxnpywsx/SaERsrM9yfDKmKDSjcUI08lhdmeG4M2Jr54RCa4bjhDQt+KW3Vplt1U7zECyHJyOWlpr4j8nGOd+s0B1NOBlOmKQZoyRhplpmbW4G31V0Jwl/9v4dRmmKpxTbnQFvrC1QCX2klGfO42ros9CsMlMpna8OznlELB9azY01JMU2edHF0qWwDtgJymuxf6tBPthAOQkq7BDWTlituzgix8YZ2WQdVb6A7yusvcyoM+Zo7xbGnNA/PqTeimi0LuEFC3QP5xj1b9Pv3sESsr8zYXYe4sllwvLU5yXk1Jf31L6SZ4znShAAHLdCELYJwi/jh4Lt3QFHx19jphGwtJCSpnPcvmOJs2XK5YA331yn2xtz/foBWVYwN1vFDzwOjge4rsRxFMYYXEcihUScJssIIRAWtH58xeNcpXj5wjz9ccJed0ChNavtBkpNVwyjOGV9doZmJUIpicES58XpimFaHylwHV5anacSnlc4PefRKMwAYwyj9Kt4agWLS663cJ1FhFhDCIc0P2YysgT2L1CIAmtzRqM+lZphtn0B5ZwwHIwZHL5C/6iJ79ZR+Hjh71Nrj/HCnJmlfcIgo99t0ZqbpdpssXl9QhBco1TPKNcC0jTkzo0Kc0sD4kk2bcbz5irGmCfuR3gWee4EYUqKEBXKJYfF+YBbt17A9QxCHFOYdYyQ+EGCsSAElCKfOM0ZDRK2d3ocnQxxXcUXPneRcjmg35+wtd3l8GiI5ztgQTkSpeRjWx18iJKSZiWiGvnsdQb88O4+jiMx2jBJUurliCuLrem5HYevvX+TYZwQ+i5JVvDy8hyl86Y4zyzaxGR6l8L0cWQFTy2iZAlrC4yNEbhIOZ1dG2PQ5hgwKDl1zObFPqP0B2jTxXOW8dw1+uOvYmyCFFXS4hZpvoUjZwj8SwTeWyjh0ek2gWs0lyY0dYW8mHB8sIyOa9iigZARYajZH8ZMRrfJ8yZxvE9UDli8sEoYhiQjn3iyz3h8gNctKIox43HK4uorVGe+SJYF3L0xYnfrkN3tMY1mmUo95ORggFKKjavz5+HTn5LnUhCkamL0EULU8DxBGGqG4zFhsECctuh09nj3vV3mZyukaU4QulRLPpcvzQKCNNcILK7rIKWkWo3wvAHvX9tnEqcIIcgLzRuvrj62hjk/zn53hGXadznLCg77YyZZyqtrC9PVgbWMkoQLM03mGhUC16FWCkjzgmGcUXtMnd3O+flBmwmj7DtgLVIGZPqAtNjDV0tkeg9LAYArZ3FljWH8h2jTAQRClAm91xmlf4IQPkoETNLv0Bv9M5RqEnoX8cwqmg7Gfg0w+M7nUEKhzYTCThBqjBVb4Ggcr4cfLnJwp44jyoRRFbfyAdHM+0S1RVxngF/ZZNxZJhu/TOiX8HxLOv5TXPUN+idrgKIU9Sjyi2RZBdeNWFkP2d/uMbtQY2mtTVTyEELQORwwu1CnUvv0PrtHIc81e3vnUUbPBOoKO90AACAASURBVI5aJdNHZNkeR0fXqJS36HbH7O/Ns380YmuryupKg/m5BuNxzJ3bx/z6V15mdXmaZBb4LpvbHU46I5qNMo4jsRZarQqtVgXPdajXIuI4pz+Iqdeix3r9hTZsHvVYaFRYmqmR5gUbWc73b+2yd9JnGKYYLKMko1YO2JhrnjXtGcYpJ6PxuSA8g6T5JgCOOu0zLAKy4pBe/EdUgrcQYvq4Z/ke/fR38J0FPGea9qPNgJPh/0ngvY2rpp3HPFllkv0AzGn/DCmRtPCdi4zSPyEufojPCsZ0cB1BOrxKoVdAjAmqMTZr0Ov0kEKSRAOy4zGlYI7ltVmktCTpgHxUpXsyIio7GCMptI9ULWbmFlDS5WD3AuMxWK7hBlc4ORhQ5AULK01K5XtmT6kk41HyxATBdRQLz6Aj+7kUBCEjPP9t9vZ/lziJabdeRbkBWRGjzTVefLHN0sIGjqOIkwxdWLq9Ceun/1+vRbz7/g7vdUbMztVIkozj4xFf+uJlGvX7Bn8Bnc74sQtCVhRY7tlMfdeZ5hUIwY+2DllsVBmnGUeDCV957eIDHdystShxbmt9FsnNCUqWH9hmbIwl4/5eWNYmFPqI0LtXtkTIAG36TKPA76FEjay4i7GvIoVLnN8iyW8DEKfXSbL3QUhMfpHBwSqTEbhuBbccg/w3vPr5F3C8HtZ06BzPkE8uY/NFcBSemiGa+Qb7t4/Y3wsxBtB3qZT/In54FYDGbMrOnX02D35EkQdk+bSD4d5WBy9w8U/Nn0Yb3CfcD+FZNE49l4JgzZgs7zIYjgnDt0AomnWIgpxep0O9PsF1p19N4Hv4vsP+QZ+Dgz5B4KKNRgnByvosBkup5JOmBWmaP5Hrdx2FQGCsPUswOxqMcKXk7csrlAMPAdzcP+FkOKZVmw4S2hjywjBTfbwCdc7PB1KGWJshRIixBdbEFMUJAnfa3e8Ua1OMtVjM2aCmdYK1KUXRxXWWsLYgzt8jKTbR+oju+F8QepeI85tIKSm7v4LrtMnyY5LsPYYHl1hZXyYep0ziTQrjEQ/blJZCpLIghuSTlzjsWMajDC/wcd0AIWLKjZCw5KOUxWqfuB+TpTme7xKVfKoNnzQu0d5YJCz77G93GPQmHO30WN5oE08yHFdRrT/p+/rZCzN6rgTBWoMurqP1DnmR4Tt3UEJjWAMcfN/B9Rz6wwlSZvi+i9aG4SjGdR22tjvTMhDdCVcuz7Gx3p56nacHZ2eng6Mkw1GCkAIlJBtrj7/xt6sUS60adw+71EsBSkp2O0Oi0GW+XsE7Laj38qrLD+/sczyYoE59GZcWZs57KD+j+GqVcfZ90EMyvYO1OWmxh8DDmBit+8TZt8mLPXRxkyRZwPfWSYv3yPIdjImZ5N9G2xhEQK7voESVMHydQu8xSr+ORVHxv4DvXEJKhauajONdVPAewjGUajWiekw8nmFwUCMfrRCVXbSoUpq5g91POTy8huM0ERwyGixw6YXPEYYALsPuIrn3Pr3jZVzfJ4kTukdbzMx/gZm5aXXRlfU2u1sn7G53iWoBpfK0uN2TrHYKPIt68HwJgtEHaL2NEC18TyCcFXRxiHICDLPEkz1azTvcuj1D5+Q20imTpwXlUsAvf/kqRaEptOHm7aPpzXdfRMPSYoMbNw9J84Iw8NHaUC77jMfpYzcZAay26nhKsXXSIy8MldBnoXFPDAA8R3FlqcXLK3MYC6XAxXOeq5/8ucJzWmizQSf+faTwkNKnEnyerNinN/kjrN5HigjHmUVSJi2+RVpcBztByhJR8MsI4TBJv0ehh3jeGqH7Ir63jDFXGWfvkhfbhN7Vs3MW5hAhMrAlEIcYsQkM8dzPkUx67G71CCKP6syAgi5RuUK9WcGYPkIlDDsXKDKXU0WgVFtjMjlkd/sWlXKIVA6j0QJp7lBrTlcNruewstamUg157e11gtB7OtFFj6nkixDirwB/D1DAP7DW/i8/9v5/BPz3TK1UQ+BvW2u//1hO/mM8V6OD1jsIUTm7eeZnX2Jnd0yRvwfFTYb9PrXaMl/6whInnUM2d3w6WvHLX75KuXzPCVsUhu2dExq1iCTNCXyX0ThhYb7GxsYsxhh838VzFdu7XdqtymMvwCWEYKFZZaFZnbbs7I24tnt0Zkay1tIbJ6y1G9RKT8bRds7TRwqHkvsySpURKIRQeM4sveEthCrhq2WUqiJdj7RYYjz557juawTeGkrOIITEkW36yb+kEvwaUp5OMIQGW5AVm3TH/4LAvYzrzJLl2wjqHNy5AlYTlRXN+W2GJ2NcX4PMSeOUXm+Tzt4iV19+gbAkwLpocZdqK6bf3aNUcclzhZQBo+EKzdlXaMwEOF5Edabg+rs7HO33mZmt0jkacrTfZ2W9hUA8FTHIc83+Xu9TH0cIoYD/Hfh1puX+/1wI8bvW2nfv2+028JestV0hxF9lWuX5C5/65A/huRIEMNzvCgrDCqsrX2Y0+DM6PQ/Hf4Fmoz21kVZrrF6Q/Om3qh9ZGZZKPv1+zI/e28Z1FUVhyPKCK5cWqJQ/Gr2TpPlnWpFRCMFcvUyS5ex0BsDUeTxfr7A48+w18TjnQYxN0Ppk6iw2QxACKe5loAuhQGh8tYKrZs62+84csawReFdx1PQ+sRQYm2FtxiR9n9C/iBA+4+x7pPo2kfcmBUNG6TdRWYQ1TQZ7r9Kea9I5HjLsF4zGOX7051x6bRHH8yhyA7QZHc+idYiw02dE0aK98A6H25ts3y3hOAVa5xzvfYG3vtjGPa0cXG1Yli7McPf6IbubJ0gpabbKKEfxzvfu8tLrq4SfolXtz4LrKhYW6o/jUJ8HblhrbwEIIf4R00ZhZ4Jgrf36ffv/GdMq0J8Jz5UgSLWILj5AiDbWaozpITimXA4wrJMXxX3ZjgFS9ChHNa7f2KdaCSlFPs1miZ2dDhc35mg0IiZxju85dHsjBsOYudnqtO1loc+iex5HK82fhhCCtbkmC80qaV7gOQ7BeY34Zx5jBiTZd8EaEAqte+T6ECV+CcjJigMK06GwGkf3cNUMBkte7JDk19B2xCT9PuXocwgcxul3SbPbSDVLqt8lnVwjcC6SFLfx1SIl/1UEHtoOSLIb9E9WCP0FPN+hXInIswFxUdA9vILnzmJtguumQEqlWqZ/MsR1DRYHLxyTj5s4coZKHYz28YMGyajH/vYJqxsVEAUQMTNbo9eZMLtQp1wJ8MOp4I1HCbtbHS6+8BQa5Dy6xaglhPjWfa///mk/F5g2ANu6771tfvLs/zeA33/kM39CnqsRQ6l5rDlBFztofRdrY6QoYY2myN5hb3+GaqVMtRoRBILhMGc4KqhXS4wnGd3uhO3dDqUoYGW5gXIUtdNQ5Kjk8e57O+zt9+gPYvJcEycZF1ZbhMGTywz2XQfffa5+1ucWay1p/h4CH6mmZkEpamjTI8k+IDcdrAAlAkreW8TZ1yEHbcZk+U0EksD9Ipn+gOHkq0ixQFbcwnUXiby3scISpx+QFXv4cp2y/wZSTu9lSZ1c1cjzbYJwjKaFVG2c6JiwqLI7qCHt4tl1GvkeUXOL/skxe/sCpQxoF5OtMbe0THTfynp+ZcLh3T/B6hbJJGfYT+ictBFigWa78oCJKIw8+p3xE/zW7+PRBeHYWvv2pz3daS/63wB++dMe6+N4rkYOIRwc9zWszTA2xlUttCmxs7MJ9nvM1B32Dg39wU2W5rr0elVeutykUrtAmk59B2mW0+2OH3AowzRjuN2qcHA0RJy+XpirIRHsHfRZnH8sy8tznnOstVgSBA6WAmsmKNU8e18ICNzLxMUWyHkcWcNRNaTwcZ0m4/TbpMUNXLVE4F3EUW1Cu8Ek/T6ZnhB4bxK4G2cDfyV4i1H6Q6z1Qdxb6WozIde7KHuZZJQTlHawaht0nSJeRcqMd76/Sbni05ipIH0YD2LmlhYxxpInAZ7X52R/gHQGIHYBCbZJo9ElGVS4fS0nTwu8wGNppcut6x77WyUWVu+ZvZJJjhf8Qg9jj9QUTAjxGvAPgL9qrT35rC7mF/qb/FkQQmDtGMfZQAjJoD8mTgIq5Vdot27TqCWkaZ9xskKpNE+zOcTa98F/Gd938X2H8TjlYL+PtoYi12clrsPA5eqlORxHIaVAKYnWhr29HvOztc+sjMU5zwdFcUxefIC1KSBQqo2xGmntjzlWNQJB4K4hxb3Vqeu08fU6UjgEzoWz7UK4eO4FkEe4TvtMDAAyPSQvdtEmIS1+hO+8ROCuMYy/z7ATMR7Mc7DTJyzXWVzxsFayt3VAe2F2GthwkrF5a5u5CwdUolcoB6eDeQSWI+zsHxOPhwTRPEWWgbiJ1YJS5SpRCcKyj+NIlJqwIT3e+d4h9XYFJQXbd0443O+xst7izvV9li60nljoaZFp9ne7j+NQfw5cFkKsMxWC/xD4G/fvIIRYBX4H+E+stdcex0k/judOEAAEDlMHs2Q0ivFcB0sNbS4glcWP3iArUqy1JImL7/YRDLDUyXNNKfLZ3e+SplM/weHhkNnZCu12FcdRD2RMKiUptJlG/zyTuY3nPAmMGZHmP0DJMlKWsdZQ6EMsCcb2wQbk+oBcd4AYKTewNoFTQdAmoSh2MLqL0ROsMmfJaoYJSfYuxirS/A6R/xa+M4+2CaP4D5GqQS34iyTZNdL8h+TFLoOjOsq8TXuuQrkScbTf5871mLllw8xiRrVxA2FdavMC8hbD3hxS/XjAhYvjlyjw2dvcpSgKTO4QlQaUSgVeENwLxrCSWsNnfrnMsDNme+sEx1G88Moy1UaJ48MBWVJw+ZWlJxJ15LiK+cfgVLbWFkKI/wr4KtOw09+21r4jhPgvTt//LeB/AmaA/+P0sxWPwwT1MJ5LQZDOCrq4AbRw3emM3xdjtGnjyB5GC7JcY7ThztYJtUqC5x9RrkSMxynaGF58YYk81+S5xvUUySRHKUkcZygVEMcZaVZgjKVSDnDUebmIc352Cr2HEA5CTKNphJAo2QCdg5VM8m9grECJEClXMKIgzffwXYUxI8bxv6IwA1zVRpt9RskJ5eDzaJsxnPwrEIZy8Csk+U1G8R+RupcRaITwKftfQMmAcvgGoX6V4fg2OpkjqkyvJYx8VjdmGQ6OcIN90GtII4EhChCOh6NK6HxCknjTFbo7QnjbWFvDVa/iun1c18Wt+tQb32Tc+y5W15FiGWObIGNMsU617rJ4oYVyFM3Ze/6EWr1E92TEZJxSekik3+NGAOIxJaZZa38P+L0f2/Zb9/39N4G/+XjO9pN5LgVBqWWwE7Teo14r6HU7pOkKjjOPMR36gwnjccr8fBXflwyG22ztTKhWu7z5+ipbOx2Umpa3Dk4dxtZYfN8hLzQ/en+bIjcYYyi04cUrC1PheMK1Vs55drCnpavvRwiJkB5WzuDYF1CyjBABQrhYW5DpI4wxDCf/EikDIv8NHFnHmA3G2bdIitsU+ggpQsrhF5CySln9Er63gS6OcZwNjO2i5L0BVimFEBKrS2hxAxAIyghbAdXHceuMRz6eHyHFdAat6QJlXO+QzTvfxgu7CGEJSgWzCzXG3X1m5jYQCKTcwZGKMJLE4z5aj5EiZHfzIpu3D2nNN2hMErzA+chKQEpBkT+WjruPyLOXqvxcCoIQCsd9Ea2XMHpIqwWHxwWjcYHnlgi8Lk6jROAfUw7u0qz7zM8X9IeWSiUAO038smZquxVSkOeadquMH7gcHQ+RJUngOzQaJdI0Z2evy9pq62l/9HN+QZFyhkIfI4kwJsVSIJDTEFCToGTjrM8BTAMopPAJnFlSZw7PWT2Lg1AqJHQv4zkvkxa7SC9Dynv5Kq5sYOUI31lmlGyhZBP5oXnJFCjHTEtd2wghhlixj7b7JMN1MCl72132drrMztWp1APiJMORJXR6hdVLR6RJiMlLFFkZKXpIdw+YRiQpuYUxK2i9QKURo/OMO3d26XV9FpZb1GbK7NyZlpCp3FcBwFqLtRb/CUb0PYs8l4JgrWVvs8PO5glCgLGWcjXg4guLBMEyOzvvkky+hSOOKewqxs7hODmR/y5CrFAqefzwB5tIpXAcQaUSUSr5zDQrvHdtjwurrQdMRJ7rcHg05MLKzHkDj3N+Jhw1S17cZZx+G2MTrDVAQeT/Go4qkRW7SO7Ppu9i7OissN3Db7sCR5XI9QDJPUGwJp/WQcq3ibMfMs6+he9cxPdW0HpE5K8wO1flcNeg3DkEhngyIc2H1PwyGy9U6BzF7O0ckxaKtcsenS2fcs1HuqsETuP0GjWTfoR0hxRmE0cG5GkEZoUs0yysbjAcTJhbdFi+NIdgOqFSjmTr5hGd4wHlSoi1MB6lLK40CMIn2BL22VsgPJ+CMOhN2Lp7TL1ROov8GfQnHO50uXBpDq3n6PQ8bO1NPH9qJzVaAB5a7zIcRVRrJcbjlDwzHB4OePPN1Xvmo4/UOLEf80Cec86jIYQLogqigiMqCOkjRZPCHBM4LcCizRhszjj5Y/JiD0fOYPQJWIM2Q5SsAKB1TJy9Q6q7CARpfpPQew3fXcWajERvo/UQxCGV8FdJ801SfQ2dDWhFvwHEhHOKcgWGgzHWgh9EBKnBddax8i6zi5qZpRPSbEhQvoJ1r2HVgwm2QkowAbNzb/DetzN6RzHVap/JcI/5lSZByeVgNyMouViCs9JBQeAxM1dlea1FvzNBOYLLLy3SaD1Y+vuzJM8K9rc7T+x8T4rnUhCO9nuEoftAGGilGrK30+VkEGNMSjxJODw6pD1ToVaLyPOCpYUZhv1jXGedtQsttDYYY5ESBv0ErQ3zs1Xubp1QLgd0umN6/QlxnPHi1cWn+InP+UXH2pzcnOC7Vx5cZZoRWncp+28yST+gN/4nCCkJT/0F2nSwVqP1dD+EIEnfB1EhdK4gpIMgIM5+iCVByjqB2iC2t/Gcafavo16ixEskxSa+18ToAYXtEpYqhKXpjPzuzT0c5SLtIlbXyJ2vIewMNlnDk5coVU7ontyiVIrwvDGSEskkpdZSWA6IKjlRxcH3xiy6Dlna4mivTxAmxGMH5d1rRpPnmiD0WFydYenC0zHDup5ifqnxVM79WfJcCoLW9qENuXf2e1xuLFIq12nPLNDrGw6PYhqNEutrbcKwy92tEq43dQ5PHcvT/7XWkuea2XaVbj/m+z/cJM81vu8QRh6DQczufp+lx1P/5JznDItmutJ8cKkpUFgylKzgOg18Z3aaU3CKo5oYM6Qc/gpS+BT6hFxPCJwr0xk6EHjrSOkRuq9RCb/MOP0RqflIbhQIiTYjfHeZPNlnkncYjm6Q6yHWc0n7bxJWJCCQto4tqkhVkMQZ/ZOY44MJWwNJrRrTnOsQVUJqTZ/OkSQMFwkjH5hDyusE4TGDzpiltRc4OvTwtUY5cLjTYX+ry9Jai6P9Hq252kOf5SfCucno8SCEeAP4LSAACuC/tNZ+8/S9/4FperYG/mtr7Vcf9/lbs1Vuvr/3gAOq35tgrWUySukej6hU2zSbWwRBQKWc4LvfweSaanmB4WDAKL+M4wQEgTutW+RIPM9BSkF7psziQp0o9HAcRRi4WGvZ2esy26qcRxud84kR+EgZYUyMlCHGplibUZg+kfsGwGnewUMGRyERQhB4l0mLCJmWzsTgQ6TwMSRI6eA5TXQSY2z2YJE8a1CyhpJV4lixc/RP0bnAGh9jBJn5JnTniMoueZ6TJSnt+Rq7d44oV0LK9QXiXpPeQRWTwaUrl8jtDzBZgFIfCp2HMZcwWOL4IlH1MldfLdi8sc97372DNbB2dZ5qLeTO+/vE44wLl+Y+q6/9p/DsKcLTWiH8r8D/bK39fSHEXzt9/StCiJeYZuq9zDTs4A+EEFestY81lqw+U6bZrtA5GuI4kqIwTCYpSVJwcjjAcRXDvqR7PMvcUg9H3EDKdaSzTN4dc3z8AVl2wiS7Shi4NBolXry6cGaCGo0SKuWAUnSvAqMQAmssaVacC8I5nxghBJH7AsPku+T5TbTpTiN+ZAlPLuE5sziyDdaemjGn96IxFmMysvyYQn8DR9WxRmBNhpD3Bntjx7hqGW0mDJP3SbPbjJPv4DkLhN4VrI3xnSv4zgLGFOwdfAObv0QQRIAEIzDmLkG4hU1fxo9CFlbqpONpL2bhWJADyo2ISkMyOIkocg/hasq1CgdbXRxXobWdJnMWE4IwRDkpbnCLmaVN1vMBlcrlae8FJPVWmaOdLvPLzfPoosfE0xIEC2dhDTVg9/Tvvw78IzvNzb8thLjBtDzsnz7OkyslufjCAuV6yLUP9klzzXAwQSqBdORpiQqX4QAODmLW115FuXOMRgnHJ2MuXLjIeLzHwbElTTXVakirVTk7fhh6HJ4Mz14bY0iSnDTLz8XgnJ8ZJasEzhqF3sd1VnFEFUfVKEyXpLhL6F4k8F8jSb+HtNP7Mdd7FMUAIb+LsAojCoSQJMUWrtNA4pHbLq6cI/Iu05n8Hqnepuz/MpnZJSuuM06+Q7v8n1EJp0U4J3GHNB9RCtbuXZwE36nieIe8+NK/Q2FmGKc/YNQ7ATXByg4CCeRYekj/DllRJfTbVOsn7Nwu+OAHWwghUO6QKFrjrS/WSfPvIJCkcRnHKUDeAluAWZmazwRkSf7kBcHyLC4Qnpog/LfAV4UQ/xvT7t9fOt2+xLTe94dsn277CEKIvwX8LYDV1dVPfAFJmrO106PaLOG7inc7QzzfodePp/XbhUBbS9k3ROE03rnTHeH7Lq6raNTLVKpNjC0zGMQUhT4rc91sltje7TKepGRZwc5Ol9EopV4PuXPniPW19mfaH+GcZ5fCHk9t/uJeiKkja+TFDoGzTtn/VTxnjST/AGsKCj3Cd5dw7yuAl9o7RO4bWDvGEFNxv0Tov0xheqTFXXxnWmvN4SKRd5FU7yJlCSmn96y0AViFoUDeP4SIFGwDrQ3jvkuRv0zkdzme3CSMNMIuIBAURYGgifB2cOSb9Md7CDVg8UJAlk2QtMiTRdJ0B8fXSFUjDEd0CgHUQWwDC1irsAZc/8k/S3mm2d86jzJ6ZIQQfwDMP+St/xH4y8B/Z639f4UQ/wHwfwFf+STHP60n/vcB3n777UfS6tEgZvfOCeNhzCBOkb5DtVYHa3FdlyhSJGnGylJzOvuwhkolAo6AClpb8rzA6hzfN1gRnhbLmy7NP8RzHV56YZFr1/d5/9oe5VLA+kab9kyZ4TDh9t0jrl5+CvXbz/mFx1o9bXjzABKLASxSKgJ5kcC9SKF703LWTvOBvR1ZB0Y0K//uA9szfQT2oz4IYR207Z+9DksVPPkSef4OjttGMMZwTCGGlINf551v3SZNcwTiNATbY9i3uCo9TeiElYuzSJmAMBxvXyAKK3h+PjUH2SZZCkd7H1CuTVc65WqE57tMRjlByWCLmGFP0F6sPdncg1NcTzG/fB5l9MhYaz92gBdC/N/Af3P68v9hWtYVHrEU7M/CsD/h/e9u4kceUSVg56DPeJRSLgdE5YCZdoWD3R5IQRi4KCXp98bMLqwjpGAy2mZ384i9/WMaNYci36C1mOAFHpVK8JEZfxR6NBslXrq6SKUSntl0K9WQXm9Cmub4/rnd85xPhqfmSIrbyNMZv7WGrDhAyTKWHMF9YiHkQ53MFn1W9O5DjMmmTaNIMUbfa53JtCPbhyGoMPVnXNn4a3zwQUFi/z+EyLG6RqPyRXq962hZUG+unl6fpdv1aM/XwJRxHEWlHuEHLrmOAUUSQ7k6D7YLogNihOu1GQ3808quJZQjWb08x9Feh2Gvi8lheaPN7DMY+vk0eVp2i13gLwF/BPwacP10++8C/1AI8XeZOpUvA998HCfcuXuMH3mE0XQ20WiWmCQZh3s91i7PMzNbIc0LDna6jEcJypGsXZqnPlNhPL7IH39tF5NLrGxx7VaEVD5HJ1tcfnmJq1cuPPScRaFxXeehZa+1No/jY53znOE5i+TmmLw4waKJ8+tgDb53iUHyZ4TOZXx3amV1ZBVXLZLrA1w1jcSxtkCbEZXw5bNjDpMfMEy+hqUgzfeJs5uU/bdQMiS3J3jOPIGz9sB1lMolXnj5S3R6ZYQp44dllFLcOLhLqb6P1YsIpvWGAr9FkZ2wuBog5dT8qs0QKUKUrFFtDBhPvk+pPAEiQJPqTSr1KwiRo00PKSo4bsHcMiyv/VsPhNY+NT6SgPqLz9MShP8c+HtCCAdIOPUFnJZ9/cdM+4kWwN95XBFG40FCpXav2XyjFnHSGdE5HLK83qYoDFHJ51e+8gqNWoTrKdSpT+D6jSOGgxKt1gJ+ZInCnJPOmFrZY6FdJYoe3s+1Vos4PBoSRfeWtEmcMR4nbO92KUUeM83KWYbzOef8NIRwKXlvkOsOw+TreGoN351HCAdrNXF+DUdVz7KSq9G/TX/0u6T6LsJOnbAl//ME7joASb5JP/lDPLmAlB5KLBBnPyArdgm9y1S9L1HyXiEeG3QxJoh8vA9t9mJIrd5GnQ7yaVIACkEGZNwbXhykeRFEl1wfA6BkncB5gYPtLp2jTY6PbuA4LdqLEVI6WFOiuTrA876A1ntofQjCw3dfR6n2k/vCfxLngvB4sNZ+Dfilj3nvN4HffNznLJV90iQ/sze6rmJ5vk6/HFPkGt93WV1u0Gg8mP5eFJrBIMY/bfgthaAUevhziniS/cQSuI16iUYjotvt43keWWa4e/eYVqvMZJIx6Mfs7vZ48YVFyk+gZO85Pz8YU1CYXazVOGrubFB9FIRQKBmiVA1XzTywXUiXTB8RngqCI6s0yn+D3OxibYqj2jj3FbIbpd/HoYI8DUF1lKLkv0au92mX/z2KXHHtB7uMBvFpUpxl5eIcc0sNlCxTFB2ms3rwA4ew5JIkYyJXABOsdUnijLXLq0TeJayNAYGUIbt3jtm+c0StmVNprHK8V7C/1eHyy0vMLTVR7gAAz70C7pVP9X0/bvKsBdbyOwAAEhBJREFUYH/z3Kn8C8vSWpv3vncXAfihRxpnFGnBW29vIKRg+84xN97ZJQhcZpfrtNo1lJom9PiBi1LqgRLW2li0NjTuCzf9KBNWV/ZpNPYYjTIGgwZLS23a7VMnXwhJknN385iXX1r+Ccc551kiL/boT/45xkwQWBCKUvDrRP7VT3CUnzQ7fdAcKaXElw+/v4wdgfB+bH8FxmLIuHutTzxJqc9MJ0pGG+5e2yMq+5QqcyTFXbSZoGSEtZrZFcn2bcVg8g0EUx/C7MqLVOrTAAwhTk1GhWZv64Rao4RUIUoJFi7MMB4meIGLF7hobR/0ifwc4XoO8yvNn77jLxjPjSBU6hFXX1th584x/c6YqOxz9fUVlKN493ubRCWfqOSzvdvluz/cZHFlhkuX51learAwXycep3QPB6SJxAKDwYTXXluhWg8fej5rU5LsOwgEteoS1YomSW9SdzVw70YKApded3LeL+E5wZiC/uSfnratXDrdljBKvornzOGoRyttIkVpml1sk7MQVGstxqS43oMmFWNT8uIEwwQlqrhq5ixSKXAuMkj/DId7K+NCj1CyRpH69DrjMzEAkEriBR4nBwMqtXnK/lsk+XVy3UGgCIMWa5chj6sYA16gcLw+ud7Dl/ciyPNcY+30eNgW2G0gw3UV6SRF6xOUbJ/5HH7usPbcZPSLTq1ZptYsY+/rQXvjvR38wMVxFTfvHKG1oT1TIR4mHB4OSNOcixuz0zwD12E8jNHG8KXXr3Lp8vzHlrMu9DHYHHm6pBdC4TpNkvQQWAemQmKMQUrxE/stG2MZj1OMMUSR/8jCYW0OqLNWiec8fQqzizETPPdeMJ2UARhIs1s44VuPdBwhJJH3EuP0BxjGWARYTeCuocQ9k5A2Y8bZd7G2QAqHzGyRqRol79WpP8J/hTi/TlJs4YgK2iaAZib661CIh97fUgp0MV2FKFmh5L+FtQUgGWffRqk61lVIJfEDB2vVNL/BvScIrucglUQXGuWEYF4CeYO8GFCdqaLUEr77SVZMT4NzQXgmuP8mn4wzfN9hPMnIsoLKqS0/HcZUKgG9fkyaFmysz7K02CAvDL7n/NRB2dgJ4seW4s1mhdt391AyQ6kQay2DQczCfB31MS024yTj+vUD4iRj2p0KLlxoMTdbfej+ANr0yPLrGDME4eCqNVxn+VwYfg74uBiJ6S+bf6JjObJGJfgCue6CLXBUDSUf9IEl+TUEEuc0TFVJyPUJWbGP766gZES7/O8zTt8n0zsEskrkvYjntLCOJQhd0jjDvy/WP55kLG88uAqZxofAoNdj/84EYwSWaZj1/OoMQmUPTMSUkqxebHPrvT3Cso/jlInHL6DcjNnZDXyv9NDPbGyGtSlC+A/UWXoqPHt68HwKwv1UqiH9zpgsz89u1jwv8AIXqeT0MT1tyzctafFox1WiRmE3kdzzMZQil4X5Ojtbhl73gEEvpt2qUN54+I1treXmzUO0sdTr0wdEa8Pt20eUSz6l0kcvxpgxSfpdhIhQqjVtpVhcBzTeaWTJOT87edEhzW8BGt9dxXU+WYKho+YAhTHJWYczYzTWFnjuJ8+4l8LDdx5e3M3anML0H8hSBlCyTK6nggDTFUolfAN444H9hBCsv7DAB9/fIp5kKEeic017vvaAGelDJqOEnRuasDoVpw+37W1tsXrx4kdWG635Oq7nsr/VIU1yWvMN5pYbDy1DYa0lK+6SFHf5cCT2nBUCZ/18ovMYee4FYX65wcnRAFNM+x+nSU6aFly42J5mVTKNnvikKDWD0jW0PkHKyjTpx46YabxIb98hlZr2hTZKCq6/s8OFjVnmlx98cOM4YzxJz8RgelyJciWd7vihgpDrXRAOUk5NUkI4KNkk15u4zsrZTO6cT84k+RHD9A+YhlbCOP06kf95KuGXH/kYSkaUw68wSr4KRp5m8+YE/tufWFx+OtNS1NaaBwZNa/UDpS9+EqVKyCuf26DfGZGnBZV6RLkWPtSUdHI4QIklpHMTQw9hfcJKxmiQIvTDndq1Zola8+GrgfvJ9QFJfhNHzUx7OltDlt9F4uO7Tz4gI88K9u8eP/HzftY896NDGPm89MYFdu6e0OlOSAvN0noLL/To9SbMzVYJg0++NBVC4XuvUxS7FOYAITx853UGXZ/xYI/5hXsZln7gsn33hJm5Kq577yf5OJ+VFAJjHp7YZswIIR4UCiEUGHOayfrc/+Q/E9qMGCX/GlfNIk5n9tYUTNJvErgXcZ2HVWl5OJH/Iq6aIztdaXg/w0rjURBC4TmLZMXO2SrBWoO2Y3zn4iMfx/Md2o/Qx6PINUpFOPo1jDgGMQLThjQE8+nCqtNiE6WqZ8ImhMRRNdJi86kIwnmU0TNMVPK5/NIiG1fnOTwacHw8QgrBxY1ZZpo/e1s+IVxc9wIu97IqR8PDe4k9p0gpsdaSxvkDghCGHp7rkGXFWWkMay1ZVtCoP3xWpWSDvLgN6t4DaG0OwkPwiPaucz5Crg+w6DMxAKbdxoxDmm9/IkEAcJ3mR2oMfRYEzjrWZOT6EJjO6kPnEq56/J3Gas0SR3s9olIFZRfBTmfSnlcQRJ/O3m9tihQ//iw6wOgB38Q5n45zQbgPpSQL83UW5j+7rmb+aUOdH8dae1Yt9UOkFFy6OMf71/amSXBSoLVhYb5OpfLwGZfjLJDrXbTpIkUJa3OMHeO7r5zbWj8F03j4jy7ZLOYjwQM/TwjhEPkvY8wGhhQpQqT4bCYG9ZkyjVaF7vEQP3CnLWa15dLLS5+6q5nrzJEX+w+E5Ro7xJHtpygGz55X+VwQnjCNmTI7d0+IJxlh5GGMZTiY0GxVHjqLqlQCXn91hf5gQlEYKpWQ8kN8Bx8ihf//t3fuMVJVdxz/fGd3dhdYhCCIu6A8F5SoRbTUpJZ/qgg0DdqmEZpGW5s+qLW19mUjbWjTpFHTNjE1VlppLDaQNC0pto2IxkZjUBEEXERegikoD4NAechrf/3jnJFh3Zl9zb0z7Pw+yc3euefee775Zfb+5px7zvfQr34Kp0/v5syZ/WTUn/q6y6jJuAlYb8jWNFOTGUBb2yEymfDCtK3tAwDqe/AyOG0ymX5k6HjOTOnqyDBuUjOH3z/GwQNHqMvWMuSiC3rdOgCor7k0Lv95IM6/OIGUpT47uvfCe0rfyweeENKmrj7LxCtH8va2vRw8cBQJhl58ASNHFfZnqaurZdjQwsNM25NRA3XZcZDtej+xU5xMpo5B/T/LoWNPcvLUrjjDOMvAhhldnkxWDWQyGQZf2NjhKKTe3beBAfXXcOr0e7TZYTJqJFs7LLHWTqf4xDSnVAxobGDS5FGcPHmamow+NNFzKptsbRNDGu/gVNs7YG1kay7+cOiokzwZ1VGfbSYYIZeXMMpof7lllBxPCGXEV007/8hkaqnPVH4XkZMs2bpaLr609C/my40/kRzHcXpC3+sx8oTgOI7TXQzisqV9Cx+H6DiO0xOsi1snSJohabOkbZLu7aBckh6K5Rskdc0BsQd4C8FxHKebnD5xij079vb6Pgo+5A8DNwK7gNWSlpvZG3mnzSQsJ9wCfAJ4JP4tOZ4QHMdxukn/Qf2ZOvPqrp3806KlU4FtZvYWgKSlwGzCMsI5ZgN/NjMDXpI0WFKTmb3bA+lF6RMJYc2aNe9JersblwwFKsGZynWci+s4l0rQUQkaoLQ6RnV+SnE2bmpdMfHa8V0dZtQg6dW8zwvNbGHcHwH8N69sFx/99d/ROSMATwgdYWbdWnVb0qtmdm1SelyH6+grOipBQyXpyGFmM8qtIQn8pbLjOE752A1ckvd5ZDzW3XNKgicEx3Gc8rEaaJE0RsElcQ6wvN05y4Hb4mij64BDSbw/gD7SZdQDFnZ+Siq4jnNxHedSCToqQQNUjo6SYmanJX0bWAHUAIvMbKOkb8by3wP/BmYB24BjwFeS0iPrgwZNjuM4TvfxLiPHcRwH8ITgOI7jRKouIXQ2TTzhundKel3Suty4ZElDJK2UtDX+LflKNpIWSdonqTXvWMF6Jf0kxmezpJsS1rFA0u4Yk3WSZiWpQ9Ilkp6T9IakjZK+G4+nGo8iOtKOR4OkVyStjzp+Ho+nFo8iGlKNhUNYurFaNsJLm+3AWKAOWA9MSrH+ncDQdsceAO6N+/cC9ydQ7zRgCtDaWb3ApBiXemBMjFdNgjoWAD/o4NxEdABNwJS4PxDYEutKNR5FdKQdDwGNcT8LvAxcl2Y8imhINRa+WdW1ED6cJm5mJ4HcNPFyMht4PO4/Dtxc6grM7HngQBfrnQ0sNbMTZraDMLJhaoI6CpGIDjN718zWxv3/AZsIsz5TjUcRHYVISoeZ2ZH4MRs3I8V4FNFQiMS+o9VOtSWEQlPA08KAZyStkfT1eGy4nR1TvAcYnpKWQvWWI0Z3RRfHRXldE4nrkDQauJrwi7Rs8WinA1KOh6QaSeuAfcBKM0s9HgU0QJm+G9VKtSWEcnO9mU0muBfeKWlafqGF9nDq44DLVW/kEUIX3mSCN8uv06hUUiPwN+BuMzucX5ZmPDrQkXo8zOxM/F6OBKZKuqJdeeLxKKChLN+NaqbaEkJqU8A7wsx2x7/7gGWEZu5eSU0A8e++lOQUqjfVGJnZ3vgwaAP+wNmmf2I6JGUJD+G/mNnf4+HU49GRjnLEI4eZHQSeA2ZQpu9HvoZyxqJaqbaE0JVp4okgaYCkgbl9YDrQGuu/PZ52O/CPNPQUqXc5MEdSvaQxBA/2V5ISkXvoRG4hxCQxHZIEPAZsMrPf5BWlGo9COsoQj2GSBsf9fgRf/jdJMR6FNKQdC4fqGmUUWr7MIozo2A7cl2K9YwkjI9YDG3N1AxcCzwJbgWeAIQnUvYTQ5D5F6G/9arF6gftifDYDMxPWsRh4HdhA+EdvSlIHcD2h+2MDsC5us9KORxEdacfjKuC1WF8r8LPOvpel1lFEQ6qx8M3cusJxHMcJVFuXkeM4jlMATwiO4zgO4AnBcRzHiXhCcBzHcQBPCI7jOE7EE4KTKJLORKfKVklP5sab55XfLekDSYOK3KNJ0j8LlP1HUsUsvg4gaamklnLrcJzu4gnBSZrjZjbZzK4gGNvd2a58LmHC4OeK3OMewkzVxJBUyuVkHwF+VML7OU4qeEJw0mQVeSZkksYBjcB8QmIoxOeBp+I1/eIv8E2SlgH98u43XdIqSWsl/TX6BCFplqQ3o6ngQ7nWRvTbXyzpRWBxNFh7UNLqaKj2jbx7/zDveM6vf4Ckf0Uf/1ZJt8bTXwBuKHGScZzE8S+skwqSaoBPE+wacswhWJC/AEyUNNzM9ra7bgzwvpmdiIfmAcfM7HJJVwFr43lDCYnlBjM7KunHwD2SHgAeBaaZ2Q5JS9pJm0QwHTweHWgPmdnHJdUDL0p6mmCN0ELw0hGwPBoTDgPeMbPPRA2DAMysTdI24GPAmt5FznHSw1sITtL0i7bGOQvllXllcwm+9m0Ek7cvdHB9E7A/7/M04AkAM9tAsDWAsKDKJMJDfB3Bf2cUcBnwlgXffAj2GfksN7PjcX86cFu8/mWCfUNLPD6dYK+wNt6zhWCrcKOk+yV9yswO5d13H9BcLDCOU2l4C8FJmuNmNllSf2AF4R3CQ5KuJDxUVwafN+qAHcDv2l8PNHShHhF89M/pepI0uZPrjra7x11mtqLdPW4CfmVmj36kUmkKwYPol5KeNbNfxKKGqN1xzhu8heCkgpkdA74DfD/2rc8FFpjZ6Lg1A82SRrW7dAswOu/z88AXAaJn/lXx+EvAJyWNj2UDJE0gmJ+NVViEBuBWCrMCmBdtqZE0ITrTrgDuyHsnMULSRZKaCd1XTwAPEpYHzTGBs+6cjnNe4C0EJzXM7DVJGwjJYA7hl3U+y+Lx+/OuOSppu6TxZraNMILnT5I2EZadXBPP2y/py8CS2P8PMN/Mtkj6FvCUpKOEEU2F+CMh+ayN9tT7gZvN7GlJlwOrYmvmCPAlYDzwoKQ2goPrPABJwwktoz3dj5LjlA93O3UqHkm3ANeY2fweXt9oZkfiQ/5hYKuZ/bakIs+t73vAYTN7rNOTHaeC8C4jp+Ixs2XAzl7c4mvxRfFGYBBh1FGSHOTsAvWOc97gLQTHcRwH8BaC4ziOE/GE4DiO4wCeEBzHcZyIJwTHcRwH8ITgOI7jRP4PJkXboYzDoycAAAAASUVORK5CYII=\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.scatter(np.degrees(observations['RA']), np.degrees(observations['dec']), c=observations['mjd']-observations['mjd'].min(), alpha=.2)\n", + "plt.xlabel('RA (degrees)')\n", + "plt.ylabel('Dec (degrees)')\n", + "plt.title('Iniital observations')\n", + "cb = plt.colorbar()\n", + "cb.set_label('mjd-mjd0')" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.scatter(np.degrees(new_observations['RA']), np.degrees(new_observations['dec']), c=new_observations['mjd']-observations['mjd'].min(), alpha=.2)\n", + "plt.xlabel('RA (degrees)')\n", + "plt.ylabel('Dec (degrees)')\n", + "plt.title('Observations after warm start')\n", + "cb = plt.colorbar()\n", + "cb.set_label('mjd-mjd0')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "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": "3.6.2" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/python/lsst/sims/featureScheduler/basis_functions/basis_functions.py b/python/lsst/sims/featureScheduler/basis_functions/basis_functions.py index 1ad8e5d..7b06426 100644 --- a/python/lsst/sims/featureScheduler/basis_functions/basis_functions.py +++ b/python/lsst/sims/featureScheduler/basis_functions/basis_functions.py @@ -14,9 +14,11 @@ 'Filter_change_basis_function', 'Slewtime_basis_function', 'Aggressive_Slewtime_basis_function', 'Skybrightness_limit_basis_function', 'CableWrap_unwrap_basis_function', 'Cadence_enhance_basis_function', 'Azimuth_basis_function', - 'Az_modulo_basis_function', 'Dec_modulo_basis_function', 'Template_generate_basis_function', + 'Az_modulo_basis_function', 'Dec_modulo_basis_function', 'Map_modulo_basis_function', + 'Template_generate_basis_function', 'Footprint_nvis_basis_function', 'Third_observation_basis_function', 'Season_coverage_basis_function', - 'N_obs_per_year_basis_function'] + 'N_obs_per_year_basis_function', 'Cadence_in_season_basis_function', 'Near_sun_twilight_basis_function', + 'N_obs_high_am_basis_function'] class Base_basis_function(object): @@ -176,16 +178,105 @@ def _calc_value(self, conditions, indx=None): return result +def azRelPoint(azs, pointAz): + azRelMoon = (azs - pointAz) % (2.0*np.pi) + if isinstance(azs, np.ndarray): + over = np.where(azRelMoon > np.pi) + azRelMoon[over] = 2. * np.pi - azRelMoon[over] + else: + if azRelMoon > np.pi: + azRelMoon = 2.0 * np.pi - azRelMoon + return azRelMoon + + +class N_obs_high_am_basis_function(Base_basis_function): + """Reward only reward/count observations at high airmass + """ + + def __init__(self, nside=None, filtername='r', footprint=None, n_obs=3, season=300., + am_limits=[1.5, 2.2], out_of_bounds_val=np.nan): + super(N_obs_high_am_basis_function, self).__init__(nside=nside, filtername=filtername) + self.footprint = footprint + self.out_footprint = np.where((footprint == 0) | np.isnan(footprint)) + self.am_limits = am_limits + self.season = season + self.survey_features['last_n_mjds'] = features.Last_N_obs_times(nside=nside, filtername=filtername, + n_obs=n_obs) + + self.result = np.zeros(hp.nside2npix(self.nside), dtype=float) + out_of_bounds_val + self.out_of_bounds_val = out_of_bounds_val + + def add_observation(self, observation, indx=None): + """ + Parameters + ---------- + observation : np.array + An array with information about the input observation + indx : np.array + The indices of the healpix map that the observation overlaps with + """ + + # Only count the observations if they are at the airmass limits + if (observation['airmass'] > np.min(self.am_limits)) & (observation['airmass'] < np.max(self.am_limits)): + for feature in self.survey_features: + self.survey_features[feature].add_observation(observation, indx=indx) + if self.update_on_newobs: + self.recalc = True + + def check_feasibility(self, conditions): + """If there is logic to decide if something is feasible (e.g., only if moon is down), + it can be calculated here. Helps prevent full __call__ from being called more than needed. + """ + result = True + reward = self._calc_value(conditions) + # If there are no non-NaN values, we're not feasible now + if True not in np.isfinite(reward): + result = False + + return result + + def _calc_value(self, conditions, indx=None): + result = self.result.copy() + behind_pix = np.where(((conditions.mjd-self.survey_features['last_n_mjds'].feature[0]) > self.season) & + (conditions.airmass > np.min(self.am_limits)) & + (conditions.airmass < np.max(self.am_limits))) + result[behind_pix] = 1 + result[self.out_footprint] = self.out_of_bounds_val + + # Update the last time we had an mjd + self.mjd_last = conditions.mjd + 0 + self.recalc = False + self.value = result + + return result + + class N_obs_per_year_basis_function(Base_basis_function): """Reward areas that have not been observed N-times in the last year + + Parameters + ---------- + filtername : str ('r') + The filter to track + footprint : np.array + Should be a HEALpix map. Values of 0 or np.nan will be ignored. + n_obs : int (3) + The number of observations to demand + season : float (300) + The amount of time to allow pass before marking a region as "behind". Default 365.25 (days). + season_start_hour : float (-2) + When to start the season relative to RA 180 degrees away from the sun (hours) + season_end_hour : float (2) + When to consider a season ending, the RA relative to the sun + 180 degrees. (hours) """ - def __init__(self, filtername='r', nside=None, footprint=None, n_obs=3, season=365.25, - HA_limit=2.): + def __init__(self, filtername='r', nside=None, footprint=None, n_obs=3, season=300, + season_start_hour=-4., season_end_hour=2.): super(N_obs_per_year_basis_function, self).__init__(nside=nside, filtername=filtername) self.footprint = footprint self.n_obs = n_obs self.season = season - self.HA_limit = np.radians(HA_limit * 360./24.) # To radians + self.season_start_hour = (season_start_hour)*np.pi/12. # To radians + self.season_end_hour = season_end_hour*np.pi/12. # To radians self.survey_features['last_n_mjds'] = features.Last_N_obs_times(nside=nside, filtername=filtername, n_obs=n_obs) @@ -198,10 +289,16 @@ def _calc_value(self, conditions, indx=None): behind_pix = np.where((conditions.mjd-self.survey_features['last_n_mjds'].feature[0]) > self.season) result[behind_pix] = 1 - # Could make this more sophisticated and look ahead to see if a pixel will be better some - # timestep in the future. - bad_ha = np.where((conditions.HA > self.HA_limit) & (conditions.HA < (2.*np.pi-self.HA_limit))) - result[bad_ha] = 0 + # let's ramp up the weight depending on how far into the observing season the healpix is + mid_season_ra = (conditions.sunRA + np.pi) % (2.*np.pi) + # relative RA + relative_ra = (conditions.ra - mid_season_ra) % (2.*np.pi) + relative_ra = (self.season_end_hour - relative_ra) % (2.*np.pi) + # ok, now + relative_ra[np.where(relative_ra > (self.season_end_hour-self.season_start_hour))] = 0 + + weight = relative_ra/(self.season_end_hour - self.season_start_hour) + result *= weight # mask off anything outside the footprint result[self.out_footprint] = 0 @@ -209,6 +306,45 @@ def _calc_value(self, conditions, indx=None): return result +class Cadence_in_season_basis_function(Base_basis_function): + """Drive observations at least every N days in a given area + + Parameters + ---------- + drive_map : np.array + A HEALpix map with values of 1 where the cadence should be driven. + filtername : str + The filters that can count + season_span : float (2.5) + How long to consider a spot "in_season" (hours) + cadence : float (2.5) + How long to wait before activating the basis function (days) + """ + + def __init__(self, drive_map, filtername='griz', season_span=2.5, cadence=2.5, nside=None): + super(Cadence_in_season_basis_function, self).__init__(nside=nside, filtername=filtername) + self.drive_map = drive_map + self.season_span = season_span/12.*np.pi # To radians + self.cadence = cadence + self.survey_features['last_observed'] = features.Last_observed(nside=nside, filtername=filtername) + self.result = np.zeros(hp.nside2npix(self.nside), dtype=float) + + def _calc_value(self, conditions, indx=None): + result = self.result.copy() + ra_mid_season = (conditions.sunRA + np.pi) % (2.*np.pi) + + angle_to_mid_season = np.abs(conditions.ra - ra_mid_season) + over = np.where(angle_to_mid_season > np.pi) + angle_to_mid_season[over] = 2.*np.pi - angle_to_mid_season[over] + + days_lag = conditions.mjd - self.survey_features['last_observed'].feature + + active_pix = np.where((days_lag >= self.cadence) & (self.drive_map == 1) & (angle_to_mid_season < self.season_span)) + result[active_pix] = 1. + + return result + + class Season_coverage_basis_function(Base_basis_function): """Basis function to encourage N observations per observing season @@ -355,6 +491,27 @@ def _calc_value(self, conditions, indx=None): return result +class Near_sun_twilight_basis_function(Base_basis_function): + """Reward looking into the twilight for NEOs at high airmass + + Parameters + ---------- + max_airmass : float (2.5) + The maximum airmass to try and observe (unitless) + """ + + def __init__(self, nside=None, max_airmass=2.5): + super(Near_sun_twilight_basis_function, self).__init__(nside=nside) + self.max_airmass = max_airmass + self.result = np.zeros(hp.nside2npix(self.nside)) + + def _calc_value(self, conditions, indx=None): + result = self.result.copy() + good_pix = np.where((conditions.airmass < self.max_airmass) & (conditions.az_to_sun < np.pi/2.)) + result[good_pix] = conditions.airmass[good_pix] / self.max_airmass + return result + + class Visit_repeat_basis_function(Base_basis_function): """ Basis function to reward re-visiting an area on the sky. Looking for Solar System objects. @@ -1001,6 +1158,25 @@ def _calc_value(self, conditions, indx=None): return result +class Map_modulo_basis_function(Base_basis_function): + """Similar to Dec_modulo, but now use input masks + + Parameters + ---------- + inmaps : list of hp arrays + """ + def __init__(self, inmaps): + nside = hp.npix2nside(np.size(inmaps[0])) + super(Map_modulo_basis_function, self).__init__(nside=nside) + self.maps = inmaps + self.mod_val = len(inmaps) + + def _calc_value(self, conditions, indx=None): + indx = np.max(conditions.night % self.mod_val) + result = self.maps[indx] + return result + + class Template_generate_basis_function(Base_basis_function): """Emphasize areas that have not been observed in a long time diff --git a/python/lsst/sims/featureScheduler/basis_functions/feasibility_funcs.py b/python/lsst/sims/featureScheduler/basis_functions/feasibility_funcs.py index 3322bd2..3570e35 100644 --- a/python/lsst/sims/featureScheduler/basis_functions/feasibility_funcs.py +++ b/python/lsst/sims/featureScheduler/basis_functions/feasibility_funcs.py @@ -9,7 +9,8 @@ 'Hour_Angle_limit_basis_function', 'Moon_down_basis_function', 'Fraction_of_obs_basis_function', 'Clouded_out_basis_function', 'Rising_more_basis_function', 'Soft_delay_basis_function', - 'Look_ahead_ddf_basis_function'] + 'Look_ahead_ddf_basis_function', 'Sun_alt_limit_basis_function', + 'Time_in_twilight_basis_function', 'Night_modulo_basis_function'] class Filter_loaded_basis_function(Base_basis_function): @@ -35,6 +36,49 @@ def check_feasibility(self, conditions): return result +class Night_modulo_basis_function(Base_basis_function): + """Only return true on certain nights + """ + def __init__(self, pattern=None): + super(Night_modulo_basis_function, self).__init__() + if pattern is None: + pattern = [True, False] + self.pattern = pattern + self.mod_val = len(self.pattern) + + def check_feasibility(self, conditions): + indx = int(conditions.night % self.mod_val) + result = self.pattern[indx] + return result + + +class Time_in_twilight_basis_function(Base_basis_function): + """Make sure there is some time left in twilight. + + Parameters + ---------- + time_needed : float (5) + The time needed remaining in twilight (minutes) + """ + def __init__(self, time_needed=5.): + super(Time_in_twilight_basis_function, self).__init__() + self.time_needed = time_needed/60./24. # To days + + def check_feasibility(self, conditions): + result = False + time1 = conditions.sun_n18_setting - conditions.mjd + time2 = conditions.sun_n12_rising - conditions.mjd + + if time1 > self.time_needed: + result = True + else: + if conditions.sunAlt > np.radians(-18.): + if time2 > self.time_needed: + result = True + return result + + + class Time_to_twilight_basis_function(Base_basis_function): """Make sure there is enough time before twilight. Useful if you want to check before starting a long sequence of observations. @@ -285,5 +329,20 @@ def check_feasibility(self, conditions): return result +class Sun_alt_limit_basis_function(Base_basis_function): + """Don't try unless the sun is below some limit + """ + + def __init__(self, alt_limit=-12.1): + super(Sun_alt_limit_basis_function, self).__init__() + self.alt_limit = np.radians(alt_limit) + + def check_feasibility(self, conditions): + result = True + if conditions.sunAlt > self.alt_limit: + result = False + return result + + ## XXX--TODO: Can include checks to see if downtime is coming, clouds are coming, moon rising, or surveys in a higher tier # Have observations they want to execute soon. \ No newline at end of file diff --git a/python/lsst/sims/featureScheduler/basis_functions/mask_basis_funcs.py b/python/lsst/sims/featureScheduler/basis_functions/mask_basis_funcs.py index ee56db7..76b0a68 100644 --- a/python/lsst/sims/featureScheduler/basis_functions/mask_basis_funcs.py +++ b/python/lsst/sims/featureScheduler/basis_functions/mask_basis_funcs.py @@ -1,12 +1,14 @@ import numpy as np import healpy as hp -from lsst.sims.utils import _hpid2RaDec, Site, _angularSeparation +from lsst.sims.utils import _hpid2RaDec, Site, _angularSeparation, _xyz_from_ra_dec import matplotlib.pylab as plt from lsst.sims.featureScheduler.basis_functions import Base_basis_function +from lsst.sims.featureScheduler.utils import hp_in_lsst_fov __all__ = ['Zenith_mask_basis_function', 'Zenith_shadow_mask_basis_function', - 'Moon_avoidance_basis_function', 'Map_cloud_basis_function'] + 'Moon_avoidance_basis_function', 'Map_cloud_basis_function', + 'Planet_mask_basis_function'] class Zenith_mask_basis_function(Base_basis_function): @@ -35,6 +37,37 @@ def _calc_value(self, conditions, indx=None): return result +class Planet_mask_basis_function(Base_basis_function): + """Mask the bright planets + + Parameters + ---------- + mask_radius : float (3.5) + The radius to mask around a planet (degrees). + planets : list of str (None) + A list of planet names to mask. Defaults to ['venus', 'mars', 'jupiter']. Not including + Saturn because it moves really slow and has average apparent mag of ~0.4, so fainter than Vega. + + """ + def __init__(self, mask_radius=3.5, planets=None, nside=None): + super(Planet_mask_basis_function, self).__init__(nside=nside) + if planets is None: + planets = ['venus', 'mars', 'jupiter'] + self.planets = planets + self.mask_radius = np.radians(mask_radius) + self.result = np.zeros(hp.nside2npix(nside)) + # set up a kdtree. Could maybe use healpy.query_disc instead. + self.in_fov = hp_in_lsst_fov(nside=nside, fov_radius=mask_radius) + + def _calc_value(self, conditions, indx=None): + result = self.result.copy() + for pn in self.planets: + indices = self.in_fov(conditions.planet_positions[pn+'_RA'], conditions.planet_positions[pn+'_dec']) + result[indices] = np.nan + + return result + + class Zenith_shadow_mask_basis_function(Base_basis_function): """Mask the zenith, and things that will soon pass near zenith. Useful for making sure observations will not be too close to zenith when they need to be observed again (e.g. for a pair). diff --git a/python/lsst/sims/featureScheduler/detailers/detailer.py b/python/lsst/sims/featureScheduler/detailers/detailer.py index c7b8bb4..7c3b8b5 100644 --- a/python/lsst/sims/featureScheduler/detailers/detailer.py +++ b/python/lsst/sims/featureScheduler/detailers/detailer.py @@ -1,8 +1,10 @@ -from lsst.sims.utils import _raDec2Hpid, _approx_RaDec2AltAz +from lsst.sims.utils import _raDec2Hpid, _approx_RaDec2AltAz, _angularSeparation import numpy as np from lsst.sims.featureScheduler.utils import approx_altaz2pa +import copy -__all__ = ["Base_detailer", "Zero_rot_detailer", "Comcam_90rot_detailer"] +__all__ = ["Base_detailer", "Zero_rot_detailer", "Comcam_90rot_detailer", "Close_alt_detailer", + "Take_as_pairs_detailer", "Twilight_triple_detailer"] class Base_detailer(object): @@ -58,13 +60,6 @@ class Zero_rot_detailer(Base_detailer): But, wait, what? Is it really the other way? """ - def __init__(self, nside=32): - """ - """ - # Dict to hold all the features we want to track - self.survey_features = {} - self.nside = nside - def __call__(self, observation_list, conditions): # XXX--should I convert the list into an array and get rid of this loop? @@ -102,6 +97,101 @@ def __call__(self, observation_list, conditions): return observation_list +class Close_alt_detailer(Base_detailer): + """ + re-order a list of observations so that the closest in altitude to the current pointing is first. + + Parameters + ---------- + alt_band : float (10) + The altitude band to try and stay in (degrees) + """ + def __init__(self, alt_band=10.): + super(Close_alt_detailer, self).__init__() + self.alt_band = np.radians(alt_band) + + def __call__(self, observation_list, conditions): + obs_array = np.concatenate(observation_list) + alt, az = _approx_RaDec2AltAz(obs_array['RA'], obs_array['dec'], conditions.site.latitude_rad, + conditions.site.longitude_rad, conditions.mjd) + alt_diff = np.abs(alt - conditions.telAlt) + in_band = np.where(alt_diff <= self.alt_band)[0] + if in_band.size == 0: + in_band = np.arange(alt.size) + + # Find the closest in angular distance of the points that are in band + ang_dist = _angularSeparation(az[in_band], alt[in_band], conditions.telAz, conditions.telAlt) + good = np.min(np.where(ang_dist == ang_dist.min())[0]) + indx = in_band[good] + result = observation_list[indx:] + observation_list[:indx] + return result + + +class Take_as_pairs_detailer(Base_detailer): + def __init__(self, filtername='r'): + """ + """ + super(Take_as_pairs_detailer, self).__init__() + self.filtername = filtername + + def __call__(self, observation_list, conditions): + paired = copy.deepcopy(observation_list) + for obs in paired: + obs['filter'] = self.filtername + if conditions.current_filter == self.filtername: + for obs in paired: + obs['note'] = obs['note'][0] + ', a' + for obs in observation_list: + obs['note'] = obs['note'][0] + ', b' + result = paired + observation_list + else: + for obs in paired: + obs['note'] = obs['note'][0] + ', b' + for obs in observation_list: + obs['note'] = obs['note'][0] + ', a' + result = observation_list + paired + return result + + +class Twilight_triple_detailer(Base_detailer): + def __init__(self, slew_estimate=5.0, n_repeat=3): + super(Twilight_triple_detailer, self).__init__() + self.slew_estimate = slew_estimate + self.n_repeat = n_repeat + + def __call__(self, observation_list, conditions): + + obs_array = np.concatenate(observation_list) + + # Estimate how much time is left in the twilgiht block + potential_times = np.array([conditions.sun_n18_setting - conditions.mjd, + conditions.sun_n12_rising - conditions.mjd]) + + potential_times = np.min(potential_times[np.where(potential_times > 0)]) * 24.*3600. + + # How long will observations take? + cumulative_slew = np.arange(obs_array.size) * self.slew_estimate + cumulative_expt = np.cumsum(obs_array['exptime']) + cumulative_time = cumulative_slew + cumulative_expt + # If we are way over, truncate the list before doing the triple + if np.max(cumulative_time) > potential_times: + max_indx = np.where(cumulative_time/self.n_repeat <= potential_times)[0] + if np.size(max_indx) == 0: + # Very bad magic number fudge + max_indx = 3 + else: + max_indx = np.max(max_indx) + if max_indx == 0: + max_indx += 1 + observation_list = observation_list[0:max_indx] + + # Repeat the observations n times + out_obs = observation_list * self.n_repeat + + return out_obs + + + diff --git a/python/lsst/sims/featureScheduler/detailers/dither_detailer.py b/python/lsst/sims/featureScheduler/detailers/dither_detailer.py index ba73d83..1efd0ae 100644 --- a/python/lsst/sims/featureScheduler/detailers/dither_detailer.py +++ b/python/lsst/sims/featureScheduler/detailers/dither_detailer.py @@ -30,7 +30,7 @@ def gnomonic_project_tosky(x, y, raCen, decCen): class Dither_detailer(Base_detailer): """ - make a uniform dither pattern. + make a uniform dither pattern. Offset by a maximum radius in a random direction. Parameters ---------- @@ -55,9 +55,14 @@ def _generate_offsets(self, n_offsets, night): if night != self.current_night: self.current_night = night self.offset = (np.random.random((1, 2))-0.5) * 2.*self.max_dither + angle = np.random.random(1)*2*np.pi + radius = self.max_dither * np.sqrt(np.random.random(1)) + self.offset = np.array([radius*np.cos(angle), radius*np.sin(angle)]) offsets = np.tile(self.offset, (n_offsets, 1)) else: - offsets = (np.random.random((n_offsets, 2))-0.5) * 2.*self.max_dither + angle = np.random.random(n_offsets)*2*np.pi + radius = self.max_dither * np.sqrt(np.random.random(n_offsets)) + offsets = np.array([radius*np.cos(angle), radius*np.sin(angle)]) return offsets @@ -67,7 +72,7 @@ def __call__(self, observation_list, conditions): offsets = self._generate_offsets(len(observation_list), conditions.night) obs_array = np.concatenate(observation_list) - newRA, newDec = gnomonic_project_tosky(offsets[:, 0], offsets[:, 1], obs_array['RA'], obs_array['dec']) + newRA, newDec = gnomonic_project_tosky(offsets[0, :], offsets[1, :], obs_array['RA'], obs_array['dec']) for i, obs in enumerate(observation_list): observation_list[i]['RA'] = newRA[i] observation_list[i]['dec'] = newDec[i] diff --git a/python/lsst/sims/featureScheduler/features/conditions.py b/python/lsst/sims/featureScheduler/features/conditions.py index 6a96def..ee6eb1f 100644 --- a/python/lsst/sims/featureScheduler/features/conditions.py +++ b/python/lsst/sims/featureScheduler/features/conditions.py @@ -116,6 +116,8 @@ def __init__(self, nside=None, site='LSST', exptime=30.): The MJD of moonset during the current night. From interpolation. targets_of_opportunity : list of lsst.sims.featureScheduler.targetoO object(s) targetoO objects. + planet_positions : dict + Dictionary of planet name and coordinate e.g., 'venus_RA', 'mars_dec' Attributes (calculated on demand and cached) ------------------------------------------ @@ -135,6 +137,8 @@ def __init__(self, nside=None, site='LSST', exptime=30.): if the skybrightness, seeing, or airmass are updated. HA : np.array Healpix map of the hour angle of each healpixel (radians). + az_to_sun : np.array + Healpix map of the azimuthal distance to the sun for each healpixel (radians) Attributes (set by the scheduler) ------------------------------- @@ -200,6 +204,8 @@ def __init__(self, nside=None, site='LSST', exptime=30.): self.moonrise = None self.moonset = None + self.planet_positions = None + # Current telescope pointing self.telRA = None self.telDec = None @@ -304,6 +310,7 @@ def mjd(self, value): self._pa = None self._HA = None self._lmst = None + self._az_to_sun = None @property def skybrightness(self): @@ -343,3 +350,14 @@ def calc_M5Depth(self): self._FWHMeff[filtername][good], self.exptime, self._airmass[good]) + + def calc_az_to_sun(self): + diff = np.abs(self.ra - self.sunRA) + self._az_to_sun = diff + self._az_to_sun[np.where(diff > np.pi)] = 2.*np.pi-diff[np.where(diff > np.pi)] + + @property + def az_to_sun(self): + if self._az_to_sun is None: + self.calc_az_to_sun() + return self._az_to_sun diff --git a/python/lsst/sims/featureScheduler/modelObservatory/model_observatory.py b/python/lsst/sims/featureScheduler/modelObservatory/model_observatory.py index b782cf0..21c4d27 100644 --- a/python/lsst/sims/featureScheduler/modelObservatory/model_observatory.py +++ b/python/lsst/sims/featureScheduler/modelObservatory/model_observatory.py @@ -458,7 +458,9 @@ def return_conditions(self): self.conditions.FWHMeff = self.seeing_FWHMeff # sky brightness - self.conditions.skybrightness = self.sky_model.returnMags(self.mjd) + self.conditions.skybrightness = self.sky_model.returnMags(self.mjd, airmass_mask=False, + planet_mask=False, + moon_mask=False, zenith_mask=False) self.conditions.mounted_filters = self.observatory.current_state.mountedfilters self.conditions.current_filter = self.observatory.current_state.filter[0] @@ -508,6 +510,9 @@ def return_conditions(self): self.conditions.moonrise = self.almanac.sunsets['moonrise'][self.almanac_indx] self.conditions.moonset = self.almanac.sunsets['moonset'][self.almanac_indx] + # Planet positions from almanac + self.conditions.planet_positions = self.almanac.get_planet_positions(self.mjd) + # See if there are any ToOs to include if self.sim_ToO is not None: toos = self.sim_ToO(self.mjd) diff --git a/python/lsst/sims/featureScheduler/schedulers/filter_scheduler.py b/python/lsst/sims/featureScheduler/schedulers/filter_scheduler.py index b47de6e..ada0e76 100644 --- a/python/lsst/sims/featureScheduler/schedulers/filter_scheduler.py +++ b/python/lsst/sims/featureScheduler/schedulers/filter_scheduler.py @@ -21,7 +21,7 @@ def __call__(self, conditions): class simple_filter_sched(filter_swap_scheduler): - def __init__(self, illum_limit=60.): + def __init__(self, illum_limit=10.): self.illum_limit = illum_limit def __call__(self, conditions): diff --git a/python/lsst/sims/featureScheduler/surveys/dd_surveys.py b/python/lsst/sims/featureScheduler/surveys/dd_surveys.py index 5684055..276b43a 100644 --- a/python/lsst/sims/featureScheduler/surveys/dd_surveys.py +++ b/python/lsst/sims/featureScheduler/surveys/dd_surveys.py @@ -8,7 +8,7 @@ import random -__all__ = ['Deep_drilling_survey', 'generate_dd_surveys'] +__all__ = ['Deep_drilling_survey', 'generate_dd_surveys', 'dd_bfs', 'dd_u_bfs'] log = logging.getLogger(__name__) @@ -73,6 +73,7 @@ def __init__(self, basis_functions, RA, dec, sequence='rgizy', self.filter_sequence.append(filtername) else: self.observations = sequence + self.filter_sequence = [obs['filter'] for obs in sequence] # Make an estimate of how long a seqeunce will take. Assumes no major rotational or spatial # dithering slowing things down. @@ -111,7 +112,7 @@ def calc_reward_function(self, conditions): # XXX This might backfire if we want to have DDFs with different fractions of the # survey time. Then might need to define a goal fraction, and have the reward be the # number of observations behind that target fraction. - result = self.survey_features['Ntot'].feature / (self.survey_features['N_survey'].feature+1) + result = self.extra_features['Ntot'].feature / (self.extra_features['N_survey'].feature+1) return result def generate_observations_rough(self, conditions): @@ -158,7 +159,7 @@ def dd_bfs(RA, dec, survey_name, ha_limits, frac_total=0.0185, aggressive_frac=0 return bfs -def dd_u_bfs(RA, dec, survey_name, ha_limits, frac_total=0.0015, aggressive_frac=0.0009): +def dd_u_bfs(RA, dec, survey_name, ha_limits, frac_total=0.0019, aggressive_frac=0.0014): """Convienence function to generate all the feasibility basis functions for u-band DDFs """ bfs = [] @@ -175,13 +176,13 @@ def dd_u_bfs(RA, dec, survey_name, ha_limits, frac_total=0.0015, aggressive_frac sun_alt_limit=sun_alt_limit, time_needed=time_needed, RA=RA, survey_name=survey_name, ha_limits=ha_limits)) - bfs.append(basis_functions.Soft_delay_basis_function(fractions=fractions, delays=[0., 0.5, 1.5], + bfs.append(basis_functions.Soft_delay_basis_function(fractions=fractions, delays=[0., 0.2, 0.5], survey_name=survey_name)) return bfs -def generate_dd_surveys(nside=None, nexp=2, detailers=None): +def generate_dd_surveys(nside=None, nexp=2, detailers=None, reward_value=100): """Utility to return a list of standard deep drilling field surveys. XXX-Someone double check that I got the coordinates right! @@ -198,14 +199,14 @@ def generate_dd_surveys(nside=None, nexp=2, detailers=None): bfs = dd_bfs(RA, dec, survey_name, ha_limits) surveys.append(Deep_drilling_survey(bfs, RA, dec, sequence='rgizy', nvis=[20, 10, 20, 26, 20], - survey_name=survey_name, reward_value=100, + survey_name=survey_name, reward_value=reward_value, nside=nside, nexp=nexp, detailers=detailers)) survey_name = 'DD:u,ELAISS1' bfs = dd_u_bfs(RA, dec, survey_name, ha_limits) surveys.append(Deep_drilling_survey(bfs, RA, dec, sequence='u', - nvis=[7], survey_name=survey_name, reward_value=100, nside=nside, + nvis=[8], survey_name=survey_name, reward_value=reward_value, nside=nside, nexp=nexp, detailers=detailers)) # XMM-LSS @@ -216,13 +217,13 @@ def generate_dd_surveys(nside=None, nexp=2, detailers=None): bfs = dd_bfs(RA, dec, survey_name, ha_limits) surveys.append(Deep_drilling_survey(bfs, RA, dec, sequence='rgizy', - nvis=[20, 10, 20, 26, 20], survey_name=survey_name, reward_value=100, + nvis=[20, 10, 20, 26, 20], survey_name=survey_name, reward_value=reward_value, nside=nside, nexp=nexp, detailers=detailers)) survey_name = 'DD:u,XMM-LSS' bfs = dd_u_bfs(RA, dec, survey_name, ha_limits) surveys.append(Deep_drilling_survey(bfs, RA, dec, sequence='u', - nvis=[7], survey_name=survey_name, reward_value=100, nside=nside, + nvis=[8], survey_name=survey_name, reward_value=reward_value, nside=nside, nexp=nexp, detailers=detailers)) # Extended Chandra Deep Field South @@ -233,13 +234,13 @@ def generate_dd_surveys(nside=None, nexp=2, detailers=None): bfs = dd_bfs(RA, dec, survey_name, ha_limits) surveys.append(Deep_drilling_survey(bfs, RA, dec, sequence='rgizy', nvis=[20, 10, 20, 26, 20], - survey_name=survey_name, reward_value=100, nside=nside, + survey_name=survey_name, reward_value=reward_value, nside=nside, nexp=nexp, detailers=detailers)) survey_name = 'DD:u,ECDFS' bfs = dd_u_bfs(RA, dec, survey_name, ha_limits) surveys.append(Deep_drilling_survey(bfs, RA, dec, sequence='u', - nvis=[7], survey_name=survey_name, reward_value=100, nside=nside, + nvis=[8], survey_name=survey_name, reward_value=reward_value, nside=nside, nexp=nexp, detailers=detailers)) # COSMOS RA = 150.1 @@ -249,12 +250,12 @@ def generate_dd_surveys(nside=None, nexp=2, detailers=None): bfs = dd_bfs(RA, dec, survey_name, ha_limits) surveys.append(Deep_drilling_survey(bfs, RA, dec, sequence='rgizy', nvis=[20, 10, 20, 26, 20], - survey_name=survey_name, reward_value=100, nside=nside, + survey_name=survey_name, reward_value=reward_value, nside=nside, nexp=nexp, detailers=detailers)) survey_name = 'DD:u,COSMOS' bfs = dd_u_bfs(RA, dec, survey_name, ha_limits) surveys.append(Deep_drilling_survey(bfs, RA, dec, sequence='u', - nvis=[7], survey_name=survey_name, reward_value=100, nside=nside, + nvis=[8], survey_name=survey_name, reward_value=reward_value, nside=nside, nexp=nexp, detailers=detailers)) # Extra DD Field, just to get to 5. Still not closed on this one @@ -265,13 +266,13 @@ def generate_dd_surveys(nside=None, nexp=2, detailers=None): bfs = dd_bfs(RA, dec, survey_name, ha_limits) surveys.append(Deep_drilling_survey(bfs, RA, dec, sequence='rgizy', nvis=[20, 10, 20, 26, 20], - survey_name=survey_name, reward_value=100, nside=nside, + survey_name=survey_name, reward_value=reward_value, nside=nside, nexp=nexp, detailers=detailers)) survey_name = 'DD:u,290' bfs = dd_u_bfs(RA, dec, survey_name, ha_limits) - surveys.append(Deep_drilling_survey(bfs, RA, dec, sequence='u', nvis=[7], - survey_name=survey_name, reward_value=100, nside=nside, + surveys.append(Deep_drilling_survey(bfs, RA, dec, sequence='u', nvis=[8], + survey_name=survey_name, reward_value=reward_value, nside=nside, nexp=nexp, detailers=detailers)) return surveys diff --git a/python/lsst/sims/featureScheduler/surveys/surveys.py b/python/lsst/sims/featureScheduler/surveys/surveys.py index e790ee7..3d3e364 100644 --- a/python/lsst/sims/featureScheduler/surveys/surveys.py +++ b/python/lsst/sims/featureScheduler/surveys/surveys.py @@ -347,28 +347,5 @@ def generate_observations_rough(self, conditions): observations.append(obs) counter2 += 1 - # If we only want one filter block - if self.filtername2 is None: - result = observations - else: - # Double the list to get a pair. - observations_paired = [] - for observation in observations: - obs = copy.copy(observation) - obs['filter'] = self.filtername2 - observations_paired.append(obs) - - # Check loaded filter here to decide which goes first - if conditions.current_filter == self.filtername2: - result = observations_paired + observations - else: - result = observations + observations_paired - - # Let's tag which one is supposed to be first/second in the pair: - for i in range(0, int(np.size(result)/2), 1): - result[i]['note'] = '%s, a' % (self.survey_note) - for i in range(int(np.size(result)/2), np.size(result), 1): - result[i]['note'] = '%s, b' % (self.survey_note) - + result = observations return result - diff --git a/python/lsst/sims/featureScheduler/utils/utils.py b/python/lsst/sims/featureScheduler/utils/utils.py index 2940441..16e8a11 100644 --- a/python/lsst/sims/featureScheduler/utils/utils.py +++ b/python/lsst/sims/featureScheduler/utils/utils.py @@ -439,7 +439,9 @@ def __call__(self, ra, dec, **kwargs): indx : numpy array The healpixels that are within the FoV """ + x, y, z = _xyz_from_ra_dec(np.max(ra), np.max(dec)) + indices = self.tree.query_ball_point((x, y, z), self.radius) return np.array(indices) diff --git a/tests/test_Baseline.py b/tests/test_Baseline.py index dac6cab..026b775 100644 --- a/tests/test_Baseline.py +++ b/tests/test_Baseline.py @@ -9,6 +9,7 @@ import healpy as hp from lsst.sims.featureScheduler import sim_runner from lsst.sims.featureScheduler.modelObservatory import Model_observatory +import lsst.sims.featureScheduler.detailers as detailers def gen_greedy_surveys(nside): @@ -33,8 +34,9 @@ def gen_greedy_surveys(nside): bfs.append(bf.Clouded_out_basis_function()) bfs.append(bf.Filter_loaded_basis_function(filternames=filtername)) + bfs.append(bf.Planet_mask_basis_function(nside=nside)) - weights = np.array([3.0, 0.3, 3., 3., 0., 0., 0., 0.]) + weights = np.array([3.0, 0.3, 3., 3., 0., 0., 0., 0., 0.]) surveys.append(Greedy_survey(bfs, weights, block_size=1, filtername=filtername, dither=True, nside=nside)) return surveys @@ -54,6 +56,7 @@ def gen_blob_surveys(nside): pair_surveys = [] for filtername, filtername2 in zip(filter1s, filter2s): + detailer_list = [] bfs = [] bfs.append(bf.M5_diff_basis_function(filtername=filtername, nside=nside)) if filtername2 is not None: @@ -78,17 +81,20 @@ def gen_blob_surveys(nside): bfs.append(bf.Filter_loaded_basis_function(filternames=filternames)) bfs.append(bf.Time_to_twilight_basis_function(time_needed=22.)) bfs.append(bf.Not_twilight_basis_function()) + bfs.append(bf.Planet_mask_basis_function(nside=nside)) - weights = np.array([3.0, 3.0, .3, .3, 3., 3., 0., 0., 0., 0., 0., 0.]) + weights = np.array([3.0, 3.0, .3, .3, 3., 3., 0., 0., 0., 0., 0., 0., 0.]) if filtername2 is None: # Need to scale weights up so filter balancing still works properly. - weights = np.array([6.0, 0.6, 3., 3., 0., 0., 0., 0., 0., 0.]) + weights = np.array([6.0, 0.6, 3., 3., 0., 0., 0., 0., 0., 0., 0.]) if filtername2 is None: survey_name = 'blob, %s' % filtername else: survey_name = 'blob, %s%s' % (filtername, filtername2) + if filtername2 is not None: + detailer_list.append(detailers.Take_as_pairs_detailer(filtername=filtername2)) pair_surveys.append(Blob_survey(bfs, weights, filtername1=filtername, filtername2=filtername2, - survey_note=survey_name, ignore_obs='DD')) + survey_note=survey_name, ignore_obs='DD', detailers=detailer_list)) return pair_surveys @@ -147,8 +153,8 @@ def testBlobs(self): filename=None) # Make sure some blobs executed - assert('blob, gg, a' in observations['note']) assert('blob, gg, b' in observations['note']) + assert('blob, gg, a' in observations['note']) # assert('blob, u' in observations['note']) # Make sure some greedy executed