From 11cf12e7981e451703dd57ce70c8e087051dbc31 Mon Sep 17 00:00:00 2001 From: marcobonici Date: Mon, 17 Nov 2025 18:54:40 -0500 Subject: [PATCH 1/5] Updated velocileptors rept emulators --- jaxeffort/__init__.py | 4 +- notebooks/jaxeffort_velocileptors_rept.ipynb | 59 ++++++++++---------- pyproject.toml | 2 +- 3 files changed, 32 insertions(+), 33 deletions(-) diff --git a/jaxeffort/__init__.py b/jaxeffort/__init__.py index 47ba39e..04d5e91 100644 --- a/jaxeffort/__init__.py +++ b/jaxeffort/__init__.py @@ -77,10 +77,10 @@ "checksum": "e40dac03eb98d17a8a913b7e784a4237906fd575844655d885ec64312b3b98bc", # SHA256 checksum }, "velocileptors_rept_mnuw0wacdm": { - "zenodo_url": "https://zenodo.org/records/17566981/files/trained_effort_velocileptors_rept_mnuw0wacdm.tar.xz?download=1", + "zenodo_url": "https://zenodo.org/records/17635853/files/trained_effort_velocileptors_rept_mnuw0wacdm.tar.xz?download=1", "description": "Velocileptors REPT emulator for massive neutrinos, w0wa CDM cosmology", "has_noise": False, # Set to True if the emulator includes noise (st/) component - "checksum": "8c275574073bbf80a5f78afdb250b59d85a99b957cf531ea74e2590639cbd7ff", # SHA256 checksum + "checksum": "33dfa33b1191928198d17f263bae77621d8f46cff25281812cbc2cdddff092d9", # SHA256 checksum } # Future models can be added here: # "camb_lcdm": { diff --git a/notebooks/jaxeffort_velocileptors_rept.ipynb b/notebooks/jaxeffort_velocileptors_rept.ipynb index 57fdff8..bf61d70 100644 --- a/notebooks/jaxeffort_velocileptors_rept.ipynb +++ b/notebooks/jaxeffort_velocileptors_rept.ipynb @@ -121,13 +121,13 @@ "text/plain": [ "Array([[ 2.85004037e-01, 1.89999596e+00],\n", " [ 2.00000375e+00, 3.49999625e+00],\n", - " [ 8.00002250e-01, 1.09999775e+00],\n", - " [ 5.00001000e+01, 8.99995000e+01],\n", + " [ 8.00000750e-01, 1.09999775e+00],\n", + " [ 5.00001000e+01, 8.99999000e+01],\n", " [ 2.00000125e-02, 2.49999875e-02],\n", - " [ 8.00007500e-02, 1.79999750e-01],\n", - " [ 1.25000000e-06, 4.99998750e-01],\n", + " [ 8.00002500e-02, 1.79999750e-01],\n", + " [ 3.75000000e-06, 4.99996250e-01],\n", " [-2.99999125e+00, 4.99991250e-01],\n", - " [-2.99998750e+00, 1.99996250e+00]], dtype=float64)" + " [-2.99998750e+00, 1.99998750e+00]], dtype=float64)" ] }, "execution_count": 4, @@ -169,18 +169,17 @@ "b = biases + cterms + stoch\n", "\n", "cosmo_dict = {\n", - " \"ln10As\": 3.,\n", + " \"ln10As\": 3.2,\n", " \"ns\": 0.96,\n", - " \"H0\": 70.,\n", + " \"H0\": 74.,\n", " \"ombh2\": 0.022,\n", " \"omch2\": 0.12,\n", " \"Mν\": 0.06,\n", - " \"w0\": -0.5,\n", + " \"w0\": -1.5,\n", " \"wa\": -1.2,\n", " \"z\": 1.2,\n", "}\n", "\n", - "\n", "cosmo = jaxeffort.W0WaCDMCosmology(\n", " ln10As=cosmo_dict[\"ln10As\"],\n", " ns=cosmo_dict[\"ns\"],\n", @@ -233,7 +232,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "358 μs ± 11 μs per loop (mean ± std. dev. of 7 runs, 1,000 loops each)\n" + "363 μs ± 3.8 μs per loop (mean ± std. dev. of 7 runs, 1,000 loops each)\n" ] } ], @@ -251,7 +250,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "500 μs ± 71.2 μs per loop (mean ± std. dev. of 7 runs, 1 loop each)\n" + "481 μs ± 87.8 μs per loop (mean ± std. dev. of 7 runs, 1 loop each)\n" ] } ], @@ -269,7 +268,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "44.7 μs ± 1.16 μs per loop (mean ± std. dev. of 7 runs, 10,000 loops each)\n" + "47.3 μs ± 3.04 μs per loop (mean ± std. dev. of 7 runs, 10,000 loops each)\n" ] } ], @@ -295,7 +294,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Jacobian shape: (59, 9)\n" + "Jacobian shape: (80, 9)\n" ] } ], @@ -304,7 +303,7 @@ "def P0_func(theta):\n", " return P0.get_Pl(theta, b, D)\n", "\n", - "# Compute Jacobian: shape (74, 9) - 74 k-bins, 9 cosmological parameters\n", + "# Compute Jacobian: shape (80, 9) - 80 k-bins, 9 cosmological parameters\n", "jacobian_P0 = jax.jacfwd(P0_func)(θ)\n", "print(f\"Jacobian shape: {jacobian_P0.shape}\")" ] @@ -327,7 +326,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "1.04 ms ± 52.9 μs per loop (mean ± std. dev. of 7 runs, 1,000 loops each)\n" + "1.24 ms ± 53.6 μs per loop (mean ± std. dev. of 7 runs, 1,000 loops each)\n" ] } ], @@ -362,7 +361,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 13, @@ -371,7 +370,7 @@ }, { "data": { - "image/png": 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t0i0iIiNKOGzwxDtH+PHTO9lz0lzSYKIrieWLZ/H+y7Ry9kigUCMiIsNa+yzAq57awduHagDISkngizfN4CNXTMEZp+UMRgqFGhERGbbePBBg1VPbebXyFACpzjiWXuvh09dOJ9WpP3Ejjf6Li4jIsFN54jQ/2rCDJ98xJ85LcNj5+FVT+fwN2WSlahbgkUqh5gwjqN901OnaichAOx5s5L+e2cW6igOEwgZ2G3zgskl8dfFMJmUO/bnFZGAp1LSJjzdXXq2vrycpSdNjn4/6+nqg41qKiERLsLGF1S9U8r8v76GxJQxA/twx3LtkDrPHpVlcnQwVCjVtHA4HLpeL48ePA5CcnKxhf31kGAb19fUcP34cl8uFw6FOeSISHY0tIX7/2j5+/txuAvUtACycmsnXb51D3jS3xdXJUKNQ08m4ceMAIsFG+sflckWuoYjIhQiFDf62+RA/Kd/JoUADADPGpHLfktks1lwz0gOFmk5sNhvjx49nzJgxtLS0WF3OsBIfH68WGhG5YIZh8PzOE6x8cjvbj9YCMC49keWLZ/HBnInEOewWVyhDmUJNNxwOh/5Ai4gMsi0HA5Q8sZ1/+s3h2emJcXz+xhl88j3TSIzX72Q5N4UaERGx1L5TdTywYQePbTkCmMOz//U9U/nCjTNwJSdYXJ0MJwo1IiJiiVOnm/ifZ3fzh9f30RIysNngAwsmsvzmWRqeLedFoUZERAZVfXMrj7y8h4df8HO6yVw9+/pZoym+ZQ7zJvS8WKHIuSjUiIjIoGgNhSnbdJCflO/keK25evbFEzNYcesc3jNjlMXVSSxQqBERkQFlGAbPbDvOyqe2s+v4aQAmu5P4t5tn895LJmDX6tkSJQo1IiIyYN48EKDkiW28vqcKAFdyPF+6aSYfu1KrZ0v0KdSIiEjU7TtVx6oNO3i8fURTnJ1PXT2dz92QTUaSllKRgaFQIyIiUVNV18x/P7Ory4imD142ieU3z2KiS+vqycBSqBERkQvW2BLikVf28IvnKqltG9F03azRfF0jmmQQKdSIiMh5C4cN/rr5ED9+egeHaxoBmDc+nRW3zeHamaMtrk5GGktDjdfrxe/34/F4AMjPzwfA7/dTVlaGx+PB7/dTVFSEy+U65zkRERk8L+06wX8+sZ1tR4IATMhI5N+WzOb9CyZqRJNYwrJQ4/V6KS0tZfXq1fj9fhYvXkxlZSUAhYWFbNq0CTBDzNKlSyktLT3nORERGXjbjgQpeXI7L+48AUBaYhxf0BpNMgRYFmqWLVsWCScej4fy8nLADCqdeTwevF7vOc+JiMjAOlrTyI+f3kGZ7yCGAfEOGx+7cipfumkm7hSt0STWsyTU+P1+qqqqcLlc+Hw+PB5P5BaU1+vF7XZ3eb3b7cbn87Fx48Yez+Xk5Jz1OU1NTTQ1NUX2g8HgAHw3IiKx7XRTKw8/X8kvX/bT2BIG4PaLx3PfLbOZmpVicXUiHSwJNT6fD7fbTVlZGfn5+axZswaPx0NBQQGBQKDbr6mqqur1XHdKSkq4//77o1S1iMjI0hIK8+eKA/zMu5OTp5sByJuWyYrb5pIzJdPi6kTOZkmoqaqqwu/3k5+fj8vloqioiMzMTAzD6PFrego0vZ1bsWIFy5cvj+wHg0EmT558vmWLiIwIhmFQvvUYP3xqO/4TdQBMH5XC12+dw83zxmKzqROwDE2WhBqPx4PL5YqMWmp/9Pl8uFyus1pe2m9V9XauO06nE6fTGe3yRURi1lsHAvzgiW280basgTslga/kz+TDl08h3mG3uDqR3lnyE9ref6Y77cO6z5Sbm9vrOREROX8Hqur50p82874HX+GNPVU44+x8/oZsnr/3Bj5x1TQFGhkWLGupyc3NJRAI4HK5InPVdNfZ1+/3k5ub26Vlp7tzIiLSfzX1LTz4/G5+/cpemkPhyLIGX7t5FhO0rIEMM5YN6S4tLaW4uJiFCxeyadOmyJDuzufy8vKoqKjoMg9Nb+dERKRvmlvD/P61ffz3s7sI1LcAcPWMLFbcOpeLJmZYXJ3I+bEZvfXOjTHBYJCMjAxqampIT9daJCIy8hiGwVPvHOWHT21n36l6AGaOSeUbt8/lhlmj1QlYhqS+/v3W2k8iIiOEb381P3h8G5v2VQMwKtXJ126eReHCScSpz4zEAIUaEZEYt/9UPSs3bOfxLUcASIp3sPQ6D8uu85Di1J8BiR36aRYRiVE19S38/Lld/ObVfZFOwHctnMzym2cxNj3R6vJEok6hRkQkxnTXCfjamaP4xm1zmTte/QkldinUiIjECMMw2PDuMX745Db2tnUCnjU2lW/cNpfr1QlYRgCFGhGRGPDWgQA/eHwbb+w1ZwJWJ2AZiRRqRESGsUOBBlY9tZ3/e/MwAInxdpZe62HZ9dmkqhOwjDD6iRcRGYZON7Xyi+d388uX9tDUanYC/sBlE7l3yWzGZ2gmYBmZFGpERIaRUNigdOMBfvT0Tk6ebgLgiuluvn3HPM0ELCOeQo2IyDDxyu6TfO+xrWw/WgvAtKxkVtw2l5vnjVUnYBEUakREhrzdx09T8sQ2ntl+HID0xDi+nD+Lj185lYQ4dQIWaadQIyIyRFXXNfOzZ3bx+9f20Ro2iLPb+NiVU/nyoplkpiRYXZ7IkKNQIyIyxLSEwvzun/v42TO7qGkwJ8/LnzuGFbfNJXt0qsXViQxdCjUiIkOEYRg8t+M43398G/4TdQDMGZfGt++Yx9UzRllcncjQp1AjIjIE7Dhay/cf38pLu04CkJWSwNduns3deZNx2NUJWKQvFGpERCx06nQTP/Xu5I+v7ydsQILDzj3XTOMLN84gPTHe6vJEhhWFGhERCzS3hvnNq3v572d3UdvYCsCtF41jxa1zmZKVbHF1IsOTQo2IyCAyDAPvtuP84PGtkUUn509I59t3zONKT5bF1YkMbwo1IiKDZPvRIN97bCuv7D4FwOg0J/fePJsPLZykfjMiUaBQIyIywE6dbuIn5Tv50xtt/Wbi7Cy9djqfu2GGFp0UiSL93yQiMkAi/Wae2UVtk9lv5vaLx/P1W+cw2a1+MyLRplAjIhJl3fWbuWhiOv9+x3wun+62uDqR2KVQIyISRVsPB/n+41t5tbJTv5klsynImYRd/WZEBpRCjYhIFByvbeQnT+9k3cYDGG39Zj5zzXQ+f6P6zYgMFv2fJiJyARpbQvzvy3t46Lnd1DWHALjjkvEU36J+MyKDTaFGROQ8GIbBY1uO8MMnt3Mo0ADApZMy+PYd88idpn4zIlZQqBER6ae3DgT43mNb2bivGoBx6YkU3zqb9106Uf1mRCykUCMi0kcHq+t5YMMO/u/NwwAkxTv47PXZFF3nISnBYXF1IqJQIyJyDsHGFh56rpJHXtlDc2sYgA/mTOS+JXMYl5FocXUi0k6hRkSkBy2hMH96Yz//5d1FVV0zAFd63Hzr9nlcNDHD4upE5EwKNSIiZ2ifPK/kyW34T9QB4BmdwjduncuiuWOw2dRvRmQoUqgREenknUM1fP/xrbzmrwLAnZLAV/Nn8i+XTyHeYbe4OhHpjUKNiAhmJ+AfP72Tv24+BJiT5336mul87oZs0hPjLa5ORPrCslDj8/kAyMnJwe/3EwgEyMnJAcDv91NWVobH48Hv91NUVITL5TrnORGR/qppaOGh53bzq1f3RjoBv2/BBO5dMptJmZo8T2Q4sSzUrF69mjVr1gCQn59PaWlp5FxhYSGbNm0CzBCzdOnSyPnezomI9FVza5jfvbaP/3l2F4H6FsDsBPyN2+ZyySSXtcWJyHmxLNQsXLiQ6mpz4qrOLS1+v7/L6zweD16v95znRET6on0m4Ac27GB/lbmC9swxqay4bQ43zlYnYJHhzNI+Nd3dNvJ6vbjdXacYd7vd+Hw+Nm7c2OO59ltXIiI9eWNPFT94YhtvHQgA5grayxfPonDhJOLUCVhk2LMs1AQCAcrKygCoqKhg2bJleDweAoFAt6+vqqrq9Vx3mpqaaGpqiuwHg8ELqllEhif/idP88MntPL31GADJCQ6KrvOw9FoPKVpBWyRmWPZ/c+cOvh6Ph8WLF1NZWdnj63sKNL2dKykp4f7777+AKkVkOKuqa+Zn3p384fX9tIYN7Db4l8un8JX8mYxJ00zAIrHGslDj9/sjt4zaRzL5/X5cLtdZLS9VVVW4XK5ez3VnxYoVLF++PLIfDAaZPHlydL8RERlyGltC/PrVvTz47G5qm1oBuGnOGFbcOoeZY9Msrk5EBoolocbn87Fo0aJIR+F2breb/Px8Vq9efdbX5Obm4vF4ejzXHafTidPpjE7RIjLkhcMG/9hymFVP7eBQoAGAeePT+ebtc7l6xiiLqxORgWZJqPF4PKxcuTKy7/V6KSgoiLTGdOb3+8nNzT3nOREZ2V73n+IHT2xjy8EaAMalJ3Lvktl84LKJ2O0a0SQyElgSalwuF7m5uaxatQqXy0VlZWWXuWZKS0spLi4mLy+PioqKPp8TkZFn/6l6/vOJbTz17lEAUhIcfP7GGXzq6ukkJTgsrk5EBpPNMAzD6iIGSzAYJCMjg5qaGtLT060uR0QuQG1jCw8+V8kjL++hORSOdAL+av4sRqfptrNILOnr32+NZRSRYSUUNijbdIAHNuzk5GlzyoZrZozi23fMY/Y4dQIWGckUakRk2Hjdf4rvPraVdw+bc05NH5XCN2+by6K5mglYRBRqRGQYOFBVT8mT23jibbPfTFpiHF9eNJNPXDWNhDjNBCwiJoUaERmy6ptbeei5Sta85Ke51ew38+HLp7B88SyyUtVvRkS6UqgRkSHHMAz+/tZhSp7YztFgIwDvyc7i23fMY+54dfIXke4p1IjIkPLOoRr+4+/vsnGfOTnnZHcS37p9HjfPG6t+MyLSK4UaERkSTp1u4kdP7+DPFQcwDEiKd/CFG7P5zLUeEuM134yInJtCjYhYqiUU5rf/3Md/eXdS22iu0/S+BRP4+q1zGJ+RZHF1IjKcKNSIiGWe33Gc7z++jd3HTwMwf0I6/3HnfPKmuS2uTESGI4UaERl0248G+cHj23hp10kA3CkJ3LtkNnflTsahdZpE5Dwp1IjIoDlR28RPyneyrmI/YQPiHTY++Z5pfPGmmWQkxVtdnogMcwo1IjLgGltC/O/Le3joud3UNYcAuO3icRTfMoepWSkWVycisUKhRkQGTDhs8I8th1n55HYO15jzzVw6KYNv3TFP/WZEJOoUakRkQLy6+yQrN+zgrQMBACZkJHLfLXO489IJ2NVvRkQGgEKNiERVxd4qfvz0Dl7zVwGQkuDg8zfO4NPXTNd8MyIyoBRqRCQq3jwQ4MdP74iMaEpw2Pnw5ZP5wk0zGJOWaHF1IjISKNSIyAV551ANPy3fyTPbjwMQZ7dRmDuZL900gwkuTZ4nIoNHoUZEzsuOo7X8tHwnT717FAC7DT6YM4n/d9NMpmQlW1ydiIxECjUi0i9vH6zhoed389S7RzEMsNngzksn8OVFM/GMTrW6PBEZwRRqROScDMPg9T1VPPjc7kifGTDnmvlK/ixmjU2zsDoREZNCjYj0yDAMnt1+nAef241vfwAAh93GnZdO4HM3ZCvMiMiQolAjImdpDYV5/O0j/OL5SrYfrQUgIc7OXbmTWHZdNpPd6jMjIkOPQo2IRLSEwjzqO8hDz1ey71Q9YM4z87GrpvLpa6ZraLaIDGkKNSJCc6sZZn7+3G4OVjcAkJkczz1XT+dfr5pGRrIWmxSRoU+hRmQEa24NU7bpIA8+t5tDATPMjEpNYNl12Xz0yikkJ+hXhIgMH/qNJTICNbWGKN14kF88XxkJM6PTnCy7zsNHr5hKUoKWMxCR4UehRmQEaW4Ns27jAX7x3O7Iqtlj0px89vpsPnLFFK3NJCLDmkKNyAhgGAYb3j1GyZPbIh2Ax6Y7+dz12fzL5QozIhIbFGpEYtw7h2r4/uNbI6tmj05z8qWbZnBX7mSFGRGJKf0ONXv37qW0tJTy8nKqq6sjx91uN4sXL6agoIBp06ZFs0YROQ/Hg408sGEHZb6DGAY44+wUXefhs9dnk+LUv2dEJPb06zfb17/+dWw2G3fddRf33nvvWec3b97Mww8/jM1mo6SkJGpFikjfNbaEWPuin1+8UEl9cwiA9y2YwH23zGGiVs0WkRhmMwzD6MsLH3jgAYqKisjIyDjna2tqavjhD3845IJNMBgkIyODmpoa0tPTrS5HJKoMw+Dvbx1m5ZPbI52AL5vi4tt3zCNnSqbF1YmInL++/v3uc6iJBQo1Equ2Hw3y7b+9Q8Ve85bwRFcSxbfO4b2XjMdms1lcnYjIhenr3+8hcWO9uLiYFStW4HK5APD7/ZSVleHxePD7/RQVFfXpnMhIc7qplf8q38mvXt1LKGyQnODgCzfO4NPXTFcnYBEZcc67peaBBx5g/fr1VFRUAPCXv/yFhQsX9ruTsM/nY+HChVRXV0fCycKFC9m0aRNghpji4mJKS0vPee5c1FIjscIwDJ54+yjffexdjgWbALj1onF8+455TFC/GRGJMQPeUuPxeFi/fn1k/0Mf+hCPPvpov0ON3+/H4/F02T/zc7xe7znPiYwUe07W8e//9w4v7ToJwNSsZP7jzvncOHuMxZWJiFjLfr5fmJOTw+bNmwH47Gc/y8yZMyOtNn1VVlZGQUFBl2Nerxe3293lmNvtxufz9XpOJNY1toT4SflOlvz0RV7adZKEODtfXjSTDV+5ToFGRIR+tNTMnDmTnJwcFi9eTG5uLgsWLCArK4tnn32WhQsX8vDDD/frgwOBQLd9YQKBQLevr6qq6vVcd5qammhqaorsB4PBftUoMhS0zwb8n09sY3+VORvwdbNG89075zNtVIrF1YmIDB19DjWLFi2isLCQ8vJyHn74YTZv3kxOTg4AK1as6PcHr1+/nqKioj6/vqdA09u5kpIS7r///n5WJjJ0VOytouSJbfj2BwAYl57Id947j1suGqdRTSIiZ+hzqGlviVm0aFHk2ObNm/F6vTz88MN85jOfYfHixaxbt+6c7+X1ernrrru6Pedyuc5qeamqqsLlcvV6rjsrVqxg+fLlkf1gMMjkyZPPWZ+I1XYdq2XlU9vxbjsOQFK8g09fM53P3aDZgEVEenJBvx0vu+wyLrvsssjswnv27Onz13buZOz3+ykpKeHuu+8mPz+f1atXn/X63NxcPB5Pj+e643Q6cTqdfa5JxGpHahr4aflOyjYdJGyAw27j7rzJfGXRTMakJ1pdnojIkNanUFNTU0N1dfU5RzZNnz498ry9/0p3Q6/y8/O77C9btoxly5Z1GQXVzu/3k5ubG2mp6emcyHBW09DCL56v5Fev7KGpNQzALfPHce8ts8kenWpxdSIiw0OfQk1GRgbr168nKyuLD37wg+d8/V/+8heqq6v5zGc+0+vrAoEAa9asAWDlypUsW7aMnJwcSktLKS4uJi8vj4qKii7z0PR2TmS4qTxxmrJNB/nj6/upaWgB4PJpbr5+2xwtbSAi0k/9mnxv8+bNlJSUkJ2dTV5eHh6PB5fLRSAQwO/388Ybb7Bnzx6WLVvGTTfdNJB1nxdNvidDQU1DC49vOULZpgORDsAAs8amUnzLHG6aM0adgEVEOhnQtZ9qampYv349lZWVkaHZ2dnZ5Ofnd7kFNdQo1IhVQmGDV3afpGzTQTa8ezRyi8lht3HDrNEULJzEzfPH4bArzIiInGlAZxTOyMhg6dKl512cyEjQEgrz9qEavFuP8ajvEEeDjZFzs8amUrhwMu+7bAJj0tQBWEQkGjQ2VCRKWkJhthys4fU9p3jNX8XGvVXUN4ci5zOS4nnfggkULJzExRMzdItJRCTKLjjU7N27F7fbrds5MuK0hsK8dbCG1/yneM1/ik37qruEGABXcjxXTs/izgUTWDR3DM44rZwtIjJQLjjUeL1ecnNz8fv95OTkRIZ9P/roo30aKSUynDQ0h3hx1wmefvcYz2w/RqC+pcv5zOR4rpiexRUeN1d6spg9Ng27+smIiAyKCw4106dP5+GHH+bmm2/G5/MRCARYsGABGRkZ0ahPxHLVdc08s/04T797lBd3naCxJRw550qO5ypPFld6zCAza4xCjIiIVfoVat588038fn+XFphFixaxaNEi1q5dS2lpKVVVVWRnZ3P33XdHvViRwVJd18zf3jzE0+8e4429VYTCHYMEJ7qSWDJ/HEvmj2Xh1EziHOe92L2IiERRn4d0r127lmXLlgGQmZmJz+dj6tSp3b528+bNXHbZZdGrMko0pFvOpbElxG9e3cvPn9tNbWNr5PiccWksmT+Om+ePZd74dHXyFREZRFEf0l1eXk44bDa7e71eioqK2LBhQ7evHYqBRqQ3hmHwjy1HWPXUdg5WNwBmkClYOImb541jSlayxRWKiMi59DnU5OXlRZ7n5+djs9l48803WbBgwUDUJTJoNu6t4vuPb+PNAwEAxqUn8m9LZvPByyaqf4yIyDDS51CTmdl1HZpFixbx6KOPKtTIsLX3ZB0rn9rOk+8cBSA5wcHnrs/mM9d6SErQ0GsRkeGmz6Fm06ZN51ygUmQ4qKlv4WfP7OJ3r+2lJWRgt8HdeVP46uKZmt1XRGQY63OoWb16NWvWrMHj8ZCfn8/ixYvx+/1dXqPbUTLUvbr7JMvXvxVZsuCG2aP5xm1zmTU2zeLKRETkQvV59NMDDzxAUVERGzdupLy8HK/Xi8/nIzMzk9zcXBYvXkxFRQXr1q0b6JrPm0Y/jVzNrWF+/PQO1rzkxzDAMzqF+++cz7UzR1tdmoiInMOArtLd2TPPPIPP56O8vJxnnnmGUCh07i+yiELNyLT7+Gm+/OfNvHs4CMBHrpjCt2+fp34zIiLDxKCFms4eeOAB7r333mi9XdQp1IwshmHwxzf2873HttLYEiYzOZ6VH7qEm+ePs7o0ERHph6jPU9MXBQUF0Xw7kfNWVddM8V+2UL71GADXzhzFjwsvZUy6OgKLiMSq857f/YEHHugyd81f/vIXzbIqQ8JLu05wy3+9SPnWYyQ47Hzr9rn85p7LFWhERGLcebfUeDwe1q9fH9n/0Ic+xKOPPhpZpVtksB0PNvJfz+zij6/vB2DGmFR+9i8LmD9Bi6uKiIwE591Sk5OTw+bNmwH47Gc/y8yZM6moqIhaYSJ9FWxs4YEN27n+gecjgebjV07lH1+8RoFGRGQE6XNLzcyZM8nJyWHx4sXk5uayYMECsrKyePbZZ1m4cCEPP/zwQNYpcpbGlhC/++c+Hnx+N4H6FgByprgovmUOV3iyLK5OREQGW59DzaJFiygsLKS8vJyHH36YzZs3k5OTA8CKFSsGrECRM7WGwjzqO8RPvTs5UmNOojdzTCr3LpnN4nlj1bdLRGSEuqAh3Zs3b8br9VJeXs7GjRtZvHixJt+TLsJhg72n6qiub2GKO5lRqQnnHToMw+Dprcd4YMMOdh8/DcCEjES+sngWH8qZhEOLT4qIxCRL5qnZs2cP06dPj9bbRZ1CzcAKhQ0qT5zmnUM1vHMoyDuHanj3cA11zR0TMiYnOJjiTmZqVjJTs1KY4k5mWlYKU7OSSU+M52iwkcM1DRwJNHK0poHDNY0crek41tBivpcrOZ4v3DCDj181lcR4TaInIhLLLJmnZigHGhkYvv3V/N/mQ7x9qIZtR2ojoaOzxHg77uQEjgYbqW8Osf1oLduP1p7X5yXFO/jUNdNYdn026YnxF1q+iIjEkKiGGhlZ/rr5IPeWbqE13NHYl5zgYP6EdOZPyODiiRlcNDGD7NEpxDnsNLWGOFjdwP5T9ew7Vce+qnr2n6pn76k6DlQ30Nxqzvo7LiOJCRmJjMtIZIIriXHpiYx3JTI+I4nxGYlqmRERkW4p1Mh5Wfuinx88sQ2A/Lljee+l45k/IYPpo1J67NvijHOQPTqV7NGpZ50Lhw2aQ2EFFhEROW8KNdIv4bDBD5/azpoX/QB8+prpfPO2udgvsJOu3W4j0a5AIyIi50+hRvqsJRTmvrIt/HXzIQBW3DqHous8GkItIiJDgkKN9EldUyuf/4OPF3aewGG3sepDl/ChhZOsLktERCRCoUbOqaqumXt+XcFbBwIkxTt46KM53DhnjNVliYiIdKFQI706UFXPvz7yBv6TdWQmx/PIJ/O4bEqm1WWJiIicRaFGerTtSJB/feQNjtc2MdGVxG8/fXm3I5dERESGAoUa6dahQAMf++XrnKprZvbYNH7zqcsZl5FodVkiIiI9sizUeL1eAAKBABUVFdx9992RBTL9fj9lZWV4PB78fj9FRUW4XK5znpPoaGgOUfTbjZyqa2b+hHT+uPRKMpI0e6+IiAxtloWawsJCnnnmGfLz86mqqqKwsJDKysrIuU2bNgFmiFm6dCmlpaXnPCcXzjAMvv7oFt49HCQrJYE1n8hVoBERkWHBbtUHl5aWRlpmgC4tMZ15PJ5Iq05v5yQ6fvnSHv7vzcM47DYe/GgOE11JVpckIiLSJ5a11OTn50eel5aWsmzZMsC8LeV2u7u81u124/P52LhxY4/nOgekdk1NTTQ1NUX2g8FgNL+FmPPSrhOUPGkuffDvd8zjSk+WxRWJiIj0nWUtNQA+n4/i4mIWL15MUVERYPax6U5VVVWv57pTUlJCRkZGZJs8eXI0yo5J+07V8cU/biZsQOHCSXziqqlWlyQiItIvloaanJwcVqxYQWVlJWVlZb2+tqdA09u5FStWUFNTE9kOHDhwAdXGrrqmVop+u4mahhYunezie++/SEsfiIjIsGP5kG6Xy0VhYSGLFy+muroal8t1VstLVVUVLper13PdcTqdOJ3OgSo9JhiGwb+VvsWOY7WMTnOy+mMLtVK2iIgMS5a01Hi9XjIzO2al9Xg8gNkRuHNfm85yc3N7PSfn56HnK3nynaPEO2w8/LEczUUjIiLDliUtNW63u0tA8fl8uFyubjv7+v1+cnNzIy01PZ2T/nt2+zF+9PQOAL77votYONV9jq8QEREZuiwJNTk5Odx9992sWbMGgPLy8sjcM2COhiouLiYvL4+Kioou89D0dk76rvLEab78pzcxDPjoFVP48OVTrC5JRETkgtgMwzCsLmKwBINBMjIyqKmpIT093epyLHOkpoEPr3mNvafqyZuWyR8+cyUJcZb2GRcREelRX/9+W95RWAbXgap6PvLL1zhQ1cBEVxIPfXShAo2IiMQEhZoRZM/JOj6y9jWO1DQyNSuZPy69ktFpGh0mIiKxQaFmhNh1rJaP/PJ1TtQ2kT06hT8uvZKx6RrpJCIisUOhZgTYejjIx/73darqmpkzLo3ff+YKRqWqhUZERGKLQk2Me+tAgE888gY1DS1cPDGD337qcjJTEqwuS0REJOoUamLYxr1V3POrCmqbWsmZ4uJX91xORlK81WWJiIgMCIWaGPXPylN8+jcV1DeHuHy6m0c+mUeqU/+5RUQkdumvXAx6YecJin67kabWMNfOHMWaj+eSlKD1nEREJLYp1MSYx7Yc5qvr3qQlZLBozhge/GiOFqgUEZERQaEmhvzun3v597+/i2HA7ReP56d3L9DEeiIiMmIo1MQAwzD4L+8ufvbMLgA+duUU7r/zIhx2m8WViYiIDB6FmmEuFDb4zt/f4fev7Qfgy4tm8pX8mdhsCjQiIjKyKNQMY02tIZave4vH3z6CzQbfvXM+H79qmtVliYiIWEKhZpg63dTKst9t5JXdp4h32Pjp3Qu445IJVpclIiJiGYWaYejk6Sbu+VUFbx+qITnBwZqP53LNzFFWlyUiImIphZph5kBVPZ945A32nKzDnZLAr+/J45JJrsEvJByCmgNQ5YeEVJiUB+rHIyIiFlKoGUbqm1v58NrXOFjdwERXEr/79OV4RqcO3AeGw1Cz3wwupyqhag9UVZrPq/dCuKXjtTOXwG2rIHPawNUjIiLSC4WaYWTNi/5IoPnL597DuIzEgfmgUCu8UwYvrDQDTU8cCWaIqdoDuzbAgy/C9ffBVV+EOC2aKSIig0uhZpg4WtPI6hfMgLHitjkDE2jCIXjnUXjhh3Bqt3nMkQCZ08HtgaxscE8Hd7b5PH0i2B1wYic8vhz2vgTP3A9b1sEdP4Wp74l+jSIiIj1QqBkmVm3YTkNLiNypmdx+8fjovnk4DFv/Bs//EE7uMI8lZcLVX4a8peA8xy2u0bPgX/9hhpkN34QT2+FXt8KCj8Hi70JKVnTrFRER6YZCzTCw5WCAR32HAPj2HfOiN7FeOAzbH4PnS+D4VvNYYga850tw+TJITO/7e9lscOm/wMybwfsf4PsNvPl72PE4LP4eLPgo2LVkg4iIDByFmiHOMAy+95gZOD5w2UQuney6sDdsOg3Ht8Gxt2HjI3D0bfO4Mx2u+gJc+Tkz2JyvZDfc+d9miHnsq3D8Xfj7F+GtP0HhbyB19IXVLyIi0gOFmiHuyXeOUrG3msR4O/fdMrvvXxhqNTv5Hn8Xjr0Lx7aaz6v3dn1dQqoZZK76gnnLKVqmXAHLXoDXfmG2BO17xbwl9Yn/g4yJ0fscERGRNgo1Q1hjS4iSJ7cBUHRdNuMzksxbRnXH4XT7dszc6k60PW87Xr0XQk3dv3HqWBgzD6ZcCZcXma0rA8ERD1f/P5h9K/z2/XBqFzxyC3zib2ZHYxERkShSqBnC1lUc4EBVA2PTnXz2eg/UnYTffwiOvNm3N4hPhjFzzQAzdn7HY8ogzz48aiZ86in47fvMeW5+dSt8/G8wdt7g1iEiIjFNoWYIe3zLEQCWXushOVwHv/8gHHkLbHZIGQ2pYyBljNnykjqmbWt7nj7RHIo9VDrnuia3BZv3m7fBfn0bfPQvMGmh1ZWJiEiMUKgZoqrqmtm4rwqAW+ZkwJ8+bAaa5FHwqQ0waobFFZ6H1DHwycfgD4VwaCP89k748J9h+rVWVyYiIjFgiPwzXs70zLZjhA24aFwyk57+nNnR1pkOH390eAaadslus0/N9Oug+TT8oQB2brC6KhERiQEKNUNU+dZj2Anzo7hfmEsQxCXBR9bD+EutLu3COdPgI6Uw61ZobYQ/fwTe+YvVVYmIyDCnUDMENbaEeGnXST7uKGfOyQ1gj4O7fgtTr7K6tOiJT4S7fwcXF0K4Fco+DZt+bXVVIiIyjCnUDEEv7zpJQ0uIjyU8bx5Y/F2YdbOlNQ0IRzx8YDUsvAcw4B9fhkeLoO6U1ZWJiMgwpFAzBJVvPcZs235mGvvMBSUXfMTqkgaO3WEufnndfeaori3r4ME8eLsMDMPq6kREZBhRqBliQmGDZ7Yf4/2OV8wDM2+O7ky/Q5HNBjd9Ez5dbs6lU38K/vJp+OPdUHPQ6upERGSYsGxIt8/nw+v1AlBRUcHatWtxuVwA+P1+ysrK8Hg8+P1+ioqK+nQuFrx5oJpTpxt5v/NV88Ald1lb0GCalAtFL8DLP4UXHzA7SD94JeR/B3I/PXTm3BERkSHJslDj9Xq57777AFi1ahWLFi1i06ZNABQWFkae+/1+li5dSmlp6TnPxYKntx7jctsOxttOgTMDZi6xuqTBFZcANxTDvPfB378EB9+AJ/7NHB313v+G0bOsrlBERIYoS/7p6/P5KCkpiewXFBTg8/nw+/34/f4ur/V4PJEWnd7OxYryrcd4v+Nlc2feneYooZFozBxzBuJbV0F8Cuz/Jzx8NTz7AzjwBjTXW12hiIgMMZa01OTk5LB27drIfiAQAMDtdrN+/Xrc7q4LLLrdbnw+Hxs3buzxXE5OzoDXPdAqT5zm0Ilqbne+bh4YSbeeumN3wBXLzAUxH/sq7PbCi6vMzWaHUbPMeXvGXwrjF8C4iyEx3eqqRUTEIpbdfiooKIg8X7duHfn5+bhcrkjAOVNVVVWv57rT1NREU1PHStXBYPC86x0M5VuPcYP9TdJt9ebaTVOvsbqkocE1BT5aZt6CeuvP5nIRdcfhxHZz27Ku47XubBg92xw1ZneYc/zY48wQ1P7c7jAX+3R7zMU2s2ZCSpZ135+IiESF5Ws/BQIBysrKIv1kentdf8+VlJRw//33X0B1g6t86zE+0z7q6aIPqWNsZzYbXFxgbgC1R81w03mrOWCuAl5V2f/3T3J3BJxRM8zHMXMhKzu634eIiAwYy0NNcXEx5eXlkRFMLpfrrJaXqqoqXC5Xr+e6s2LFCpYvXx7ZDwaDTJ48Oar1R8uJ2iZ27z/ATQmbzQOX3G1tQUNd2jhzm9WpI3XdKTj6FlTvhXDInKk43NrpeQiMtueNNXBqN5zcDcGD0FAFB143t87GXmzeBry4ANInDOq3KCIi/WNpqFm1ahXFxcV4PJ5Ia0t+fj6rV68+67W5ubl4PJ4ez3XH6XTidDqjWvNAeXb7MW61v4HT1mrO1TLuIqtLGn5SsiD7pv5/XXMdnKqEU7vMkHNqF5zcBcfehWNvQ/nbUP7v5iKcl9wNc9+rvjsiIkOQZaGmrKyMnJycSKBZv359t3PO+P1+cnNzIy01PZ0b7rrcehrpHYQHW0IKjL/E3Dqrr4Kt/2f22dn/T9jzgrk9/jWYc5sZcLJvMpd7EBERy9kMY/Dnovf7/WRnd+2r4HK5qK6ujpxfvXo1eXl5VFRUsGLFii6T7/V07lyCwSAZGRnU1NSQnj50/qVd39zKbd/9E8/HfdE88JV3wDU0b5ONWNV74e1SeGud2ZLTLjkLLv0wLPyk2SdHRESirq9/vy0JNVYZqqFmw7tH2fzH7/D1+D9jTL0a2z1PWF2S9MQw4MibZrh5pwzqTnScm3o15Pxr2/xCSZaVKCISa/r691vDa4aAl3adiKz1ZNOtp6HNZoMJl8GtP4Tl2+HDf4ZZt5pDxve9An8tgh/PgSeL4dhWq6sVERlRLB/9JBDc+yZz7AcI2eNxzHuf1eVIXznizIkBZ98KNYfgzT+A73dQsx9ef9jcJuVBzifM4JM62uqKRURimkKNxZpbw8w95QUHNE3LJznWV+SOVRkT4fr74NqvQeVz4Ps17HgSDlaYG5gzH2ffBNmLYPIV5jpXIiISNQo1Ftt5rJYF7AQgaf6tFlcjF8zugJn55lZ7zGy9efdROPp2xySBL/8UElJh2rUwY5EZdNwe89aWiIicN4Uai205UM177XsAsE1caHE1ElVpY+Ha5eZWewz8z0Hls+ZWdwJ2PmluABlTzEU83dnmLMZZ2ebzjElmUBIRkXNSqLHYUf8W0mwNNNsTSRg9x+pyZKCkjYVL/8XcwmFzUr/dz5gBZ/9rZj+cmv1nf50jATKnt4UcD6SOhdQx5pbS9picpeAjIoJCjfUO+QA4nTkft0P/OUYEu71jdfFrl0NTrflzUFVpzmxc5Tcfq/dAqBlO7jC3ntjsZrBpDzxpE8w+PukTzceMyeZzZ+rgfY8iIhbQX1ELNbaEGB18FxwQP0W3nkYsZxp4rje3zsIhqDnYEXaq98Lp4+YK5adPwOljUH8KjLB5O6vuBBzr5XMSMyB9knlLy+0xW39GzYSsGWYQ0gKqIjLMKdRYaMfRWi62mStKp3qusLgaGXLsDsicam49rWkVajWDzeljZtipPQbBw+YinTWHIHjIfGyqMRfxbKyB4++e/T5xSW19eWZ0bKNmmaFH61yJyDChUGOhdw6cpMC2DwDbxByLq5FhyRFn9tdJG9v76xqDHWEncMBcofxUpflYvQdaG+DYO+Z2prTxZrgZNbsj6IyebR7XiC0RGUIUaix0qtKH09ZKQ1w6SZnTrS5HYlliurmN6aYzeqgVAvvagk7bdrJtpfLTR6H2iLntebHr1yWkmp2YM6dC5rSuW8ZkiE8c+O9LRKQThRoL2Y9sBqAu6xKS9C9esYojrmMYOUu6nmsItIWcnXBiR1vY2QFVe6D5tDmK69jb3bypzWzJyZwG6RO6bmltj6ljzc8WEYkS/UaxSGNLiHG1Zidh57Q8q8sR6V6SCyblmltnrc3mbavqfWYH5vYtsM8MPC11UHvY3Hpis5vD0tMnmAEobVz3j8lu3eYSkT5RqLHI1iPBjk7C0xVqZJiJSzD71YyeffY5wzA7L7cHneBh8/ZV8BAEj5j7p49CuNV8PH20989yJJgBJ32iOXKr/bF9S58ISZkKPiKiUGOV7fuOcLftEKCZhCXG2GyQMsrczmzhaRcOmUPQg4c7Qk5te/+dTs/rT5lz9QT2m1tP4lPMOXlcU87YppqPKaMVekRGAIUaiwQqK3DYDGoTxpCWNs7qckQGl93RdntpHPQ28q+1yRyuHjzSMUy95mDbUPUD5n79SfN218md5taduMSuYSdjctfQkzpGoUckBijUWCT+qNlJuGH0paRZXIvIkBXn7Agi9DCXU0uD2dpTc8Acrt7eqhPYZz4GD0Nr47lDT8ZkcE3uGnraj6WN11IUIsOAQo0FGppDjK/bBg5IUn8akQsTn9Rp9FY3Wpvb5ufZb3ZsrmkPPm2PtW2h59Quc+uOPc7su9M56HRu+UmfCI74gfseRaRPFGossPVIDZe0dRJO00zCIgMrLsFcFsLt6f58qMW8nRVp4WkLPO3hJ3jI7NQc2Gdu3bHZO0LPmX163NPV0iMySBRqLLDDv4eF9hPmzvgFltYiMuI54jsmDexOOGR2XA7s7wg6Z97qCjW19fE5APte6eYzEsyQc+YkhZnTzAkMtdioSFQo1FjgtL8CgOqkKWQmuawtRkR6Z3e0rXY+Ebjq7PPhsLnu1pl9ear3dTwPNXfM1tyd1LHgzm5baNTT8dztUeAR6QeFGgs4j78FQNOYyyyuREQumN3eMZJr8uVnnw+HzFtYnScprNrT9nwPNFSbI7xOH4P9r5799aljOy0y2raqetZMc3kK9eMR6UKhZpA1NIeYVG92Ek7xqJOwSMyzOzr62Ey/7uzzDdVQ5YdTfvOxqrJtvxIaqjoCz5m3texx5q2rrBkwaoa54OjotkVH1QIsI5RCzSDbfayWS+zqJCwibZIyYeJCcztTQ7UZdiKLje6Ck23PWxs6RmydOVI9bXzbjM9zzJAzeo65pWQNyrckYhWFmkG2b/8eLrYFCWPDPvYiq8sRkaEsKRMmLTS3zsJhcyj6yV2dVlVvW3S09nDHyur+57t+XcpoGDMPxs5ve5wHo+dCQvKgfUsiA0mhZpAF95srGlc5JzFKv0hE5HzY7R1rX2Xf2PVcYw2c2Akntpsrqp/YYT4P7DeXptjzgrlF2Mxh52Pmmdu4i2DcxeCaZn6OyDCiUDPIjONbAWhwzbS4EhGJSYkZMDnP3DprrjPDzbGtcHwrHHvXfKw70daXxw/bH+t4fUJaW8C5xAw54y6GMXPNWZ5FhiiFmkGWWmMO6XSMnWdxJSIyoiSkdN935/QJOP5uW9h5F46+Y4ad5lrY/09za2ePMzskj7/EnGNr/KVm2NGwcxkiFGoGUW1jC5Na94IdXFMvsbocERFIHQ2pN4Dnho5joRazn87Rt+HolrbtbbPj8vF3ze2tP7W92GZ2Rp6wwAw54xeYocepVe1k8CnUDKKdR2uZaTsIQPKkiy2uRkSkB454sxPx2Hlw6d3mMcMw59s5sgWOvNW2vWl2SD65w9y2rGt7A5s5p86EHHMV9okLYexFEJ9o1XckI4RCzSA6uG83C20NtOIgLmuG1eWIiPSdzdbROXnObR3Ha4+Z4ebwmx1BJ3ioY1X0LX82X2dvC0oTF3aEndFztCaWRJVCzSCqPWCOfKpOnMLouASLqxERiYK0sZC2BGYt6Th2+rgZcg5tgsM+87H+VEcLD4+Yr0tIhQmXmTMxT8qDibnm7TCR86RQM4hsJ8yRT42ZsyyuRERkAKWOgVk3mxuYt64C+zsCzqHNZotO82nY+5K5tcucBpPaQs6kXLMjspaDkD6yLNT4fD6WLl3Kpk2buhz3+/2UlZXh8Xjw+/0UFRXhcrnOeW44SAuaMwnHjZ9vcSUiIoPIZjPXqsqcCvM/YB4Lh8wh5gcr2raN5n77+lhvrzdfF5dkhpspV8GUK82wk5hu1XciQ5wloaY9mPh8vrPOFRYWRoKO3+9n6dKllJaWnvPcUFdV18zU0D6wQ+ZUdRIWkRHO7jBnNh47HxZ+0jzWEDBbcg5u7Ag7jYGurTk2u9npuD3kTLkK0sdb9E3IUGNJqCkoKOj2uN/v77Lv8Xjwer3nPDcc7DxawyW2QwAkTlSoERE5S5ILZiwyNzCXgzi5s22+nNfMx8C+jmHmb6w2X5c5DaZdA9OuMx8zJlr1HYjFhlSfGq/Xi9vt7nLM7Xbj8/nYuHFjj+dycnIGs8zzcnjvDq60NdFCPPGZ060uR0Rk6LPbYcwcc8u9xzwWPNwRcPb/05wssP2W1ebfm6/JnN4Wcq5VyBlhhlSoCQQC3R6vqqrq9VxPmpqaaGpqiuwHg8ELKe+C1B1sW/MpeRpjHUPqsouIDB/pE+CiD5obmGtd7X+97RbVy2YH5Oo95rb5d+Zr3B4z4HhugOnXa7XyGDYs/rr2FGjOda6kpIT7778/+gWdB8eJ7QA0uzXySUQkahIzuo60agyaLTmdQ0772la+3wA2c8Zjzw3gudHslxOfZOE3INE0pEKNy+U6q+WlqqoKl8vV67merFixguXLl0f2g8EgkydPjmrNfWEYBhmnzZFPCRr5JCIycBLTuwk5/4Q9L0Llc+YSD+3z5bzyM3A4zWCTfaMZcsZdotXJh7EhFWry8/NZvXr1Wcdzc3PxeDw9nuuJ0+nE6bR+RdkTtU1MD+83Rz5Nu9TqckRERo7EdHNiwPbJAWuPwZ4XwP+8GXJqD5v7e14A/gNSxrR1Vs6H7Jsg2d3Lm8tQY3moCQQCkdYWj8fT5Zzf7yc3NzfSUtPTuaFux5FqLrcdBtRSIyJiqbSxcMld5mYY5sKd/ufB/5zZmlN33Fys860/mcPHJ+aaAWdmPoy/TK04Q5wlocbr9VJeXg6Y/V7y8vIiw7xLS0spLi4mLy+PioqKLvPQ9HZuKDu2dztOWwtNtkScrqlWlyMiImBOCjh6lrldUQStzeatqt1eczu+FQ6+YW7P/yckjzJbcWYtMYNOYobV34GcwWYYhmF1EYMlGAySkZFBTU0N6emDNyPl7371cz6+75scTZnDuHtfH7TPFRGRC1BzsCPgVD4PzbUd5+xx5sR/s24xt1FapHgg9fXvt+W3n0YCx8kdADS7Z1tciYiI9FnGJHO244WfhFALHHgddm4wt5M7OmY6fvqbkDWjLeAsMcOO1quyhELNADMMA1edOfIpccI8i6sREZHz4ohvm9DvGrj5e+YQ8Z0bYOdTsPcVOLUb/vlzc3NmmOFmzu3mbSpnqtXVjxgKNQPseG0T08IHteaTiEgscXvgys+ZW2PQ7Gjc3opTf9JckPPt9eaQ8eybzIAz+1ZIGWV15TFNoWaA7TwSiIx8ih+nlhoRkZiTmA7z3mdu4ZC5EOe2f8D2x8zlG3Y+aW42u3lras7tMOcOc9VyiSqFmgF2dN8OnLYWmm1OElxTrC5HREQGkt3Rtnr4lXDz980RVNsfN0PO0S2w7xVz2/ANmHAZzHu/GYbcWhMwGhRqBljDoXcBqE6exli7w+JqRERk0NhsMHa+uV1/HwT2twWcx2D/q3B4s7l5vwPjLzUDzvz3m7e25Lwo1Awwx6m2kU+ZMy2uRERELOWa0tEP5/Rxs/Vm69/a1qhqW7rhmfvNpRrmvQ/mfwCysq2uelhRqBlAhmGQ3rbmk3OCZhIWEZE2qWMg79PmVneyI+Dsecm8TXV0Czz7PfMW1UUF5qrk6ROsrnrIU6gZQObIpwMa+SQiIj1LGQW595hb3Smzg/HWv4H/hY5bVE9/yxxOfnEBzL1zUNekag230hxqpinURFOoKfK8Odzc8TzU8fzS0ZcyKW3SoNXXmULNANp1NMhCjXwSEZG+SsmChf9qbqdPmOHm7TI48BrG3pdo3vcSjU/eS9P062ictYTGqVfQZLPTGGo0Q0drU+R5Y2tjl+PtoaTLdsbxzuGlfT9khPr1LfznNf+pUBOLjuzdQZKtmRZbPPGZ06wuR0REosgwDFrCLWZwaA8TbY+NrW3Boo/HuoSQM4JJU0oTjTNm0hRqIrKuUetO2LoTtv7PoH7PcfY4nA4nToeTBEcCCfYEEhwJkWPxjnjcidatbK5QM4DqD78DQHXSNMZo5JOIyKAJG2EaWhvMraWB+tb6SIhoaG2IPDa0NkSOR861BYuGUEPkeFOoqcu59tARNsKWfH8ObDgNg8RwCKdh4AwbJNnjcCZl4UyfQGJSFk6Hk8S4xEjgcDqcOOOcXfd7Odc5rLTv221De5VyhZqBdKJ9zadZFhciIjL0GIbRETzO2Opb6rvut9b3fO6M/fbwMZjsNrsZIhyJOOPMx/ZA0X6s/XnkeFxil32nw0lSXFIkYLSfO/PrnXFO4u3xYBhwcCO89Sd45y/QGAAOAG+aI6gu/Rezk3Ha2EG9FlZSqBkg4bCB63Ql2LTmk4gMX4Zh0BhqjISH+tb6bkNEbyGjvQWkczBpP2503FAZEDZsJMYlkhSX1GVrP9YeHNqfJ8UnRcJFe4BIciR1GzI6P8bb47HZbAP6vZz9zdlgcp653VICu56Gt/5sLtXQPoLq6W/DjEWw4KMw+zaISxjcGgeZQs0AORRoINvYDzbInLbA6nJEZIQIhUPUt9ZT11JHfYv5WNdaF9mvb6nvut/22vb99vDROcAMdPAAzEDRFjiS45O7BJDkuGSS4js973zujNeeeSzRkTj4YcMKcU6Y+15zq68yW27e+jMc2miGnV1PQ3IWXHI3XPYxc0LAGKRQM0C2H6riOtshABzjYvOHR0QuXEu4pSNMdAoS7Y91rZ3CSXv4aD/Xab/9eUNrw4DVelZ4OCNgJMV3c+yMlpEzg0pyXDKJcYlDvq/GsJLshsuXmtvJXfDmH83t9FF47SFzm5BjhpuLCyAxw+qKo0ahZoAc27sVp62FRnsSiS4tWiYSS1pCLZxuOc3p5tPmY8tp6lrqzMfmOmpbaruGkDNaRBpaGyLPW8ItA1Kjw+YgOT6ZlPgUUuNTzedxKZFjyXHmY0r82cfaWzqS45JJjk9W8BjORs2E/O/Ajd+Eymdg8+9gx5Nw2GduG75hzl582cfNeXCGeauWQs0AaTq0BYCa1Bkk2vWLQGQoaO+Y2h5E2kNJXUtdR0BpPk1tS21kv7b5jOctp2kKNUW9tnh7fCRAtIeL9lsuKfEppMR1DSDtIaTzfufQ4nQ4R8ZtF+kbRxzMWmJup0/AlnVmwDmx3Xy+ZR1kzYCFn4RLP2LOlzMMKdQMEGfVdgBCo9VJWOR8tQ/LPbO1o/1WTZdbMWfcpjmzP0lDSwN1rXVRHYKbFJdEanxqpDUkJSGFtPi0jpBxRktIe+hobzVpP5ccl0y8Iz5qdYn0KnU0vOeLcNUX4NAm8P3W7INzarc5c/Ez3zVbb3I/BVOuGlatNwo1A6CxJcS4hkpwQNqUS60uR2TQtYRbzBaPtpaNupY6aptruzx2bik5s/Nq574iA8Fus5MS3xZAEsxA0r61B5PUBHM/LSEt8piW0HE8JT6FOLt+hcowZrPBpFxzW/IDc+biTb8yF9Z8u9TcRs02l2+49F8gKdPqis/JZhjGwHdrHyKCwSAZGRnU1NSQnp4+YJ/zzqEaMlYvZLL9BMa/PoZt+rUD9lki0dZ+i6a2uTYSSoLNwchtmNqW2si52ubayH7nEBPtzqp2m52UuJRIx9LOfUDa9yO3aTq3jsSd3VqSGp9KUlySbs2I9OSQDzY+YrbetLT9wyIu0Vw1PG8pTFo46CX19e+3/pkxAHbuP8wH7ScAsMXosDmxXucp2ptDzV1mPe11a2no2rH1jNaTupbo3aJJjkuOtGykxqeSmtBxq6Zzi0eXMNJNB9YRMyxXZCiYmGNuS34AW9bDpl/DsXfMSf7e+hNMXAiXF5khJ85pdbVdKNQMgFP+NwEIxo8mfRBXUo0GwzCob62ntrmWYHOQ+pZ6WsIttIZbuzx2fm7DdtYfpMhoixHaYbEl3NIRMlrOnnTsrNlP2yYn67z+S+d1YNqnaz9zEbqBnD/EYXN0ufWSnpAeuf2SlpBGWnxal1sy6QnpXW7T6PaMyDCXmGEOC8/7jDlzccUv4d1HzX44f10GG75pdizOvQcyrFnA8kz6jTMAjCPmyKcG9xyicZPLMAwCTQEO1B7gYO1Bgs1BwkYYAwPDMDAwIv+ybj8eNsK0hNrCh9FKS8gMIZHnRiuNrY3d3kaI9lomDpuD1IRUMhIySE9IJ8OZQboz3dxve8xwZpCakGquL9K2QFr7uiPti6Y5HU7i7HGEjBBhI3z2RphwOEzICPUYwNq/98i16e417c9DLTSHm2kONUe+tn2/Odxs7oeauwSQ9nViWo3WqF7Dc2mfNTXBkdDtHCFnzg+SEp/SpdWkc0fX9lYV3aIREaDrzMU3fx98vzFvTwUPwUs/gpd/CnNuN1tvLB4WrlATZa2hMFnBrWCH+Mnnf9/xQO0BHqt8jOcOPMf+2v3UtdRFscpzi7PHkZ6QTlJcEgmOBOLt8cTZ44i3x5/1PEz4rMnBOnfyDBkhappqqGmqGdTvYSjobor27iYsa59N9cwp2dvXgUmM67qOTIIjoct6MZZM0S4iI0/qaLju3+Dqr8COx+GNtbD3Jdj2d3MbMw9u+jbMuc2S8hRqoqzyRB3zqQTAlX15v7422Bzk6b1P84/Kf+A77jvr/JjkMUxKnYQ70Y3NZsNus2PHDjazI6UNW2RyLIfNEQkf7QGk/Xn7vtPhjNxS6Hx7IS0hLSq3jELhUMecIM1mZ9OaphpqmmsINgWpaTaDTrA5SLApSG1LbaT1oynU1NEq0rZ11/rRfg3sNnOz2WyR7z3eHk+84+wQFrkeju5DWufn8Y54EuwJkcf2gNd5v30tmPZZUzuvJaOwISIxyRFnDvue9z44thUq1prLMhzf2tG52AIKNVG2dd8R7rQdBMA+MadPX7Orehdrtqzh2f3P0hxuBsx/4V85/krem/1e5o+az8TUiTgdQ6tD1rk47OZtp9SEVEi58PcLhUOEjFAkuNiwKTCIiFht7Dy446ew6DvmMPC5d1pWikJNlFVVbsJhM6iNH0Va+vheX9sSauGXb/+SNW+voTVstkJkZ2Rz54w7uX367YxNGTnLxfeFw+7AgcPqMkREpDtJLrNjsYUUaqIsdNC8bVSXdTFpvbzu7RNv8++v/ju7A7sBuGHSDXx2wWeZ556n1gcREZHzoFATRXVNrYyrfQcckDI9t9vXtIZb+e/N/81v3v0NYSOMO9HNiitWsGTqEoUZERGRC6BQE0Vv7q/mcvs2ANJmnj2LcHVjNf/2wr/xxtE3ALjDcwfFecW4El2DWaaIiEhMUqiJop3b3+ZqWzWtxBE3Ka/Lue1V2/nys1/mcN1hkuOS+cE1PyB/ar5FlYqIiMQehZooatj1AgBVmRczJiE5cnzD3g186+Vv0RhqZEraFH5248+YkTnDqjJFRERikkJNlAQbW5ha/Ro4wDnjOsCcCfjhtx7mobceAuDqiVez8tqVZDgzrCxVREQkJg27UOP3+ykrK8Pj8eD3+ykqKsLlclldFi9tPcR19rcAyLj0Tk43n+bbr3wb734vAB+f93G+tvBrOOwakiwiIjIQhl2oKSwsZNOmTYAZcJYuXUppaanFVcGe1//O7bYGTsdnsc+ZyNcf/zB7g3uJs8fxrSu+xYdmfcjqEkVERGLasAo1fr+/y77H48Hr9VpUTQf/8SCXH/kDVXF2HvTM5y9PfoyQEWJs8lh+csNPuGT0JVaXKCIiEvOGVajxer243e4ux9xuNz6fj5ycs5ckaGpqoqmpKbIfDAYHpK6H/vF5jk+s4m3nRFqb9wJwy7Rb+MYV3yAzMXNAPlNERES6GlahJhAIdHu8qqqq2+MlJSXcf//9A1gRYBgYoR1sTkwE4KKsi/jCZV/gmonXDOznioiISBfDKtT0pKews2LFCpYvXx7ZDwaDTJ48ObofbrPx0fc+xHveLSVn4TKmZ2ZH9/1FRESkT4ZVqHG5XGe1ylRVVfU4+snpdOJ0DvzK1jnj88gZn3fuF4qIiMiAsVtdQH/k53c/A29ubvfrLImIiMjIMaxCjcfj6bLv9/vJzc0dEvPUiIiIiLWG1e0ngNLSUoqLi8nLy6OiomJIzFEjIiIi1rMZhmFYXcRgCQaDZGRkUFNTQ3p6utXliIiISB/09e/3sLr9JCIiItIThRoRERGJCQo1IiIiEhMUakRERCQmKNSIiIhITFCoERERkZigUCMiIiIxQaFGREREYoJCjYiIiMSEYbdMwoVonzw5GAxaXImIiIj0Vfvf7XMtgjCiQk1tbS0AkydPtrgSERER6a/a2loyMjJ6PD+i1n4Kh8McPnyYtLQ0bDZb1N43GAwyefJkDhw4oDWlBpCu8+DRtR4cus6DQ9d5cAzkdTYMg9raWiZMmIDd3nPPmRHVUmO325k0adKAvX96err+hxkEus6DR9d6cOg6Dw5d58ExUNe5txaaduooLCIiIjFBoUZERERigkJNFDidTr7zne/gdDqtLiWm6ToPHl3rwaHrPDh0nQfHULjOI6qjsIiIiMQutdSIiIhITFCoERERkZigUCMiIiIxYUTNU3Mh/H4/ZWVleDwe/H4/RUVFuFyuC36tdNXfa+fz+Vi6dCmbNm0avCJjRH+utc/nw+v1AlBRUcHatWv1M91H/bnO7dc4EAhQUVHB3XffTU5OziBWO3yd7+/d4uJiVqxYoZ/nPurv7w2AnJwc/H4/gUBg4H+eDemTnJycyPPKykqjoKAgKq+Vrvpz7UpLS41NmzYZ+jE+P/251itXruzyvPPXSu/6c51dLpexadMmwzAMY/Xq1YbH4xnw+mLF+fzebf/9UV1dPYCVxZb+XOeioiIDMAAjPz9/UK6zbj/1gd/v77Lv8Xgi/6K6kNdKV/29dgUFBfpX7Hnqz7X2+XyUlJRE9gsKCvD5fGe9h5ytvz/TpaWlXX6m1XrQN+f7e9fv9+PxeAaqrJjT3+u8cOFCqqurqa6upry8fFB+nhVq+sDr9eJ2u7scc7vdkaa1832tdKVrN3j6c61zcnJYu3ZtZD8QCEReL73r7890fn5+5HlpaSnLli0b0Ppixfn87igrK6OgoGCgS4sp53OdXS7XoIZz9anpg/Zf4meqqqq6oNdKV7p2g6e/17rzL/9169aRn5+vVoQ+OJ+faZ/Px7p161i8eDFFRUUDVFls6e91DgQC+vk9D+dzncvKygCzL96yZcsGvGVMoeYC9PQf+EJfK13p2g2ec13r9l9S6ph9YXq7zjk5OXg8HoqLi9WacIF6us7r169XYIyinq5z507EHo+HxYsXU1lZOaC16PZTH7hcrrOSaFVVVbdJvz+vla507QbP+V7r4uLiQbs3HgvO9zq7XC4KCwspLCxUqO+D/lxnr9fLXXfdNUiVxZb+/jx37oPTPlpqoPviKdT0Qef73J3l5uZe0GulK127wXM+13rVqlUUFxfj8XgIBAL6Y9sH/bnOXq+XzMzMyH57M706ZJ9bf3+e169fz5o1a1izZg1+v5+SkhL13euD/lxnn8/HokWLzjo+0H3xdPupD868B+j3+8nNzY2kU5/Ph8vlwuPxnPO10rP+XOcz6R55//T3WpeVlUVuiwQCATXf91F/rrPb7e7yR6P9nEb4nVt/rvOZf5iXLVs2KH09YkF//xauXLky8lqv10tBQcGA/57WgpZ95Pf7Wb16NXl5eVRUVHSZrKmwsJC8vDzuu+++c75Wetef6+z1eikvL2fVqlXcd9995OXlqf9BP/T1Wvv9frKzs7t8rcvlorq62oKqh5/+/EyXlZVFmvfLy8tZuXKl/tj2UX+uM5j/EFqzZg3FxcUUFRWxbNkyBcg+6M91bp+00+VyUVlZ2SXkDBSFGhEREYkJ6lMjIiIiMUGhRkRERGKCQo2IiIjEBIUaERERiQkKNSIiIhITFGpEREQkJijUiIiISExQqBGRYW/ZsmVnTRAoIiOPlkkQkWGvsLDwrIX2RGTkUUuNiAx75eXlLF682OoyRMRiCjUiMux5vV6t5i4iWvtJRIY/m82GYRj4/X58Ph9+v7/L4oUiMjKopUZEhjWfz0dOTg6BQCDyfN26dVaXJSIWUEdhERnWvF4vABs3bqSgoACATZs2WVmSiFhELTUiMqyVl5ezYsUK/H4/y5Yts7ocEbGQ+tSIyLCWmZlJdXU1ANnZ2VRWVlJWVhZptRGRkUMtNSIybPn9fvLz8yP7BQUFlJWVkZOTY2FVImIVtdSIiIhITFBLjYiIiMQEhRoRERGJCQo1IiIiEhMUakRERCQmKNSIiIhITFCoERERkZigUCMiIiIxQaFGREREYoJCjYiIiMQEhRoRERGJCQo1IiIiEhP+P8zbHXg3trBIAAAAAElFTkSuQmCC", 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", 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", + "image/png": 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", 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" ] @@ -444,7 +443,6 @@ "name": "stdout", "output_type": "stream", "text": [ - "Final multipoles computed with bias!\n", "CLASS+velocileptors computation complete!\n" ] } @@ -513,15 +511,8 @@ "PT.compute_redshift_space_power_multipoles_tables(f, apar=1.0, aperp=1.0, ngauss=4)\n", "\n", "# Combine bias terms to get final multipoles\n", - "k_v, P0_v, P2_v, P4_v = PT.compute_redshift_space_power_multipoles(b, f, apar=1.0, aperp=1.0)\n", - "\n", - "print(f\"Final multipoles computed with bias!\")\n", + "k_v, P0_velocileptors, P2_velocileptors, P4_velocileptors = PT.compute_redshift_space_power_multipoles(b, f, apar=1.0, aperp=1.0)\n", "\n", - "# Optional: interpolate to exact target grid if needed\n", - "from scipy.interpolate import interp1d\n", - "P0_velocileptors = interp1d(k_v, P0_v, kind='cubic', bounds_error=False, fill_value='extrapolate')(kv_target)\n", - "P2_velocileptors = interp1d(k_v, P2_v, kind='cubic', bounds_error=False, fill_value='extrapolate')(kv_target)\n", - "P4_velocileptors = interp1d(k_v, P4_v, kind='cubic', bounds_error=False, fill_value='extrapolate')(kv_target)\n", "print(f\"CLASS+velocileptors computation complete!\")" ] }, @@ -555,7 +546,7 @@ "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", 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Ps8v13vy7hWKfdwwAoHxDssRpiIioMUVFRcaiS6vVNpjgoFQqsXTpUoSHhyMiIsI4gaG+8FKr1VCr1QBgnP16PampqVeNs1OpVFi1apXxeiEhIQBgt7Nn2WJnhzIO5mFn9R2423En+t/yqNRxzKbT7S/C8O16hJVvw1/7dqDHwGFSRyIiMr8X8xp/TaZo+PELJ65z7N/+6H/mQMszXUdSUhJ8fX2NXaJ/p1QqERYWhpUrVzYoysLCwhAd/f/DiEzVona9rlZ7mB1rf005hM935OGr2luwceQ3cHax/C4RlhLQYxD2eo0DABSvf0fiNEREFuLk3vjjyvF1NzzW9cbHtlL9mLiEhASoVCrodDrj80BdIaVWq5GWlgaNRoP09HQAwNSpU43HXHmuevVj4urVn/da78vOzsaUKVMafW9j17BVLOzszIGzxdh9ugiOChkeGNpF6jhm137CiwCAwZf/xF9/HZM4DRERXam+e7W+SzUuLg6ZmZnQ6XRYsmQJwsPDjUVZZGQkpk+fjpSUFISFhSE5ORmJiYlIT09Heno6IiIijOdJS0tDdnY20tPTsXv3bqSmpiI7O9v4vpSUFKSnpyMxMRFpaWkNMqSlpTUo4OLj45GVlYUlS5a0aLkUayMTQgipQ0hNr9fDy8sLxcXF8PT0lDpOq6z7aA5+z1MAfSdh4X1to2sy/aN5WHq2C7r3H4qP7rP9b0oiooqKCpw8eRLBwcFwcXG58RusjLe3N4qKiqSOYVOud8+bU6dwjJ0dKbiYh+j8r3C7YzWO92w7S4D0nTQPx97fjOMHzuNEfgm6+3lIHYmIqM1ZsmQJcnJyEB8fj4iICKnjtFnsirUjx3/9EM6yapxw6I6e4VFSx7GYUH9PxPTpCCGAz9V7pY5DRNQmRUdHw9fXF+np6UhNTZU6TpvFFjs7UV1dhZBTKwAA+gGPATKZxIks66mx3RBz/F+489h2nD25GYHBvaWORETUpqhUKiQkJEgdo81ji52dOHUoEx1RCD3c0G+8/S5x0pj+XdqjT7sSuMqqkPsTZ8gSEVHbxMLOTujO1K0/dNYpBE4urjc42j45jqvbJia8cB3ycnMkTkNERGR5LOzsRM2FwwCAEo8QiZNIp9fQW3HEqT+cZDXIW/40hMEgdSQiolbhwhVth6nuNQs7O1F6WY9K4QBZh55SR5GUyx3zUS0UiCjbjB1r/iN1HCKiFnF0dAQAlJU1ss8r2Z36e11/71uKkyfsxFu1DyO3chKWDW7b67gFD7gJu/Y9gSE5/8GAA+/g9ICb0bXnAKljERE1i0KhgFKpRH5+PgDAzc0NsjY2Ka6tEEKgrKwM+fn5UCqVUCgUN37TdbCwswMV1bU4oy2DAQqEdO4gdRzJRdz7Gg4v+AMdKzRY/PNmvPFUPzg5sHGaiGxLp06dAMBY3JF9UyqVxnveGizs7IDmUikMAlC6OaJ9Oyep40hO7uCADg9/jalLd+JEfjso1ceReCuXPyEi2yKTyeDv7w8/Pz9UV1dLHYfMyNHRsdUtdfVY2NmBy3u/x09Oi3DIbRRksraz48T1dOjcDc9PdsbMb7Ox+I8cjOnhi2EhbM0kItujUChM9kuf7B/7p+xAbd4+9JefgspJJ3UUq3JrP39MjQjCLbJd8Pk2GsXaS1JHIiIiMisWdnbAqeg4AED4tu0Zsdfy6oQQvOy8Ej3FKeR8MZ1LoBARkV1jYWcHfMtPAgDcAvtKnMT6uLu7o/SOxagWCoSV/I7snz6WOhIREZHZsLCzcZWV5QioPQ8A6BgyWOI01qlX+Fjs7hYPAOid/SbOaw5JnIiIiMg8WNjZuLycw3CU1eKycEWHzt2kjmO1hjz4Jg459oO7rAIlyx9FTVWl1JGIiIhMjoWdjdOe3g8AOOfYBTI5b2djFA4O8H7gC+iFG3pWH0P2N/OkjkRERGRyVrncSXZ2NtRqNQAgMzMTS5cuhVKpBABoNBqkp6dDpVJBo9FgxowZTXrNXl0oKkWOwR86D06cuJHOXXtiZ8S/MDTreRw+dQ5OZ4owqIu31LGIiIhMxioLO7VajYSEBABASkoKoqKikJWVBQCIi4sz/luj0WD69OlIS0u74Wv26hcxAk9UBeOlQb0xVOowNmDIHY8jucALnxxzR7eVe/HzU6PQztkqvw2IiIiazer67rKzs5GUlGT8ODY2FtnZ2dBoNNBoNA2OValUxpa9671mz/7KLwEAdO/kIXES2yCTyTDznrvR2csFpwrLkDB/EbI+noYLOXuljkZERNRqVlfYhYWFYenSpcaPdTodAMDHxwdqtRo+Pj4Njvfx8TF23Tb2mr2qrqnFyYLLAICeHVnYNZWXqyM+uj8MAUpX3FOzFuH5q9HpmzE4nDwOR35fAVFbI3VEIiKiFrG6wg6oa6Wrt3LlSkRHR0OpVBqLvL/TarXXfe3vKisrodfrGzxsUZ7mILIcHsNy53fQ2ctF6jg2ZXAXb/yZMA6uN89BpssI1AoZ+pRnI/SPeFx4qw+ylr+BUh13qiAiIttilYVdPZ1Oh/T09BuOk2usqGvstaSkJHh5eRkfQUFBrUwqjcKT++EpK0cHxwrIZDKp49gchVyGyHF3I3LurzjzwDZs9rsfOtEO/uIiwo8twrF3b8cbPx3CyYJSQAip4xIREd2QVY8aT0xMREZGhnFmq1KpvKoFTqvVQqlUXve1v5s3bx6ee+4548d6vd4mi7vKvMMAAJ17iMRJbF9wjz4I7vEx9CVJ2PzLZ/A/9jWWV45B2tZT+GLrKUQr9uATh0WokjmiGo6oghOqZY6oljmhWuaE792nYE+7MRjURYnb+3VC386eXH6GiIgszmoLu5SUFCQmJkKlUhlb3aKjo5GamnrVsREREVCpVI2+9nfOzs5wdnY2eWZLc9DW7RFbwz1iTcbTwwujpj4HQ+0zuP34RRTuPIvfj+XDQVTDUVYLR9QCqKg7WPzvAaCg8BK25xdiu6YQO//4Fe+5LMHZzrfAb+hUhPQbyiKPiIgswioLu/T0dISFhRmLulWrVl1zTTqNRoOIiAhji11jr9kr77K6PWJdO/eROIn9kSvkGBvqj7Gh/iipqEZp6Uicu/wwqqvKUVNVjtqqchiqK1BbVY7aqgrc7tEdEbIO+P1oPoYe/xZdRB66nPsCWPMFcr/vjFz/8fAbdg+LPCIiMiuZENY1eEij0SAkpGHXolKpRFFRkfH11NRUREZGIjMzE/PmzWuwQHFjr12PXq+Hl5cXiouL4enpaepPySxqa2pQ/WYnuMiqkffgNnQO6St1JPqfUn0Rjv6ZDsWR7xF6eRecZdXG13JlnfHToMW4c1QkgnzcJExJRES2ojl1itUVdlKwxcIuN+cwgr4ZjkrhCIdXLkDhYJWNr21efZEnP/ID+lzeCR3cMazyQ7RzdsLCKQNxS99OUkckIiIr15w6hdWAjTqTX4TjtYPh4eKAISzqrJa7pzfC75gO3DEdpfoiHNuzG4MPuSH7jA6zv9mFD/scwfj75rAwJyIik+BgHxu1t6IjHqt+Ad+FLJA6CjWRu6c3Ro+Jwcr44XjspmAkOKzABM07OLRgPLSXzksdj4iI7AALOxt1Ir9ux4ke3HHC5jgq5Hjljj6IHDYW5cIJAyqzUPnRKBzbs1nqaEREZONY2NmocxcuAAC6+7WTOAm1VNgdM3Bx6s84J+sEf1xCtx/uxvb098Bhr0RE1FIs7GyQobYWX2gfwm7nmejtWix1HGqFbn2GwvPprdjvNgzOsmoMP/gadvznQVSUl0kdjYiIbBALOxt0IfcE3GWV8EQpAoKCpY5DreShbI/+z/+CXcGzYRAyDNCux5Of/IgzhSzuiIioeVjY2aB8zT4AwDlFIBwcnSROQ6Ygkysw5OEkHI36DK8pnkRGvifu/HALNh3LlzoaERHZEBZ2Nqj83CEAQJG7SuIkZGp9Rk/Gc089j0FBShSXV+P9r5ZjW/p7UsciIiIbwcLOBikK6/aIrfLuIXESMofOSlesjB+GaQNcscRxIUYcfA3bljwFQ22t1NGIiMjKsbCzQV6XcwAAzv7cI9ZeOTso8Mo9Y6HpOhUAMCLvK+x5bzIqykslTkZERNaMhZ2NEQYDAqrPAAB8g/tLnIbMSSaXY+i0hdg96G1UCQXCS37HqUXRKC7IkzoaERFZKRZ2Nua8thhptaOxxdAf/qp+UschC4i46584HvMV9HBH7+rDKP1oHPJO7Jc6FhERWSEWdjbmL20N3qh5GG8o34ajk4vUcchC+t10J7T3/Ixz6IjO4gKylr2Cvbk6qWMREZGVYWFnY/66WAIA6NGRO060Nd16h8Fx5gb86nwrEsofwj1LtmP9oQtSxyIiIivCws7GFOQehwfK0N2Pe8S2RX6dgjDquWUY0jMIFdUGxH+7G79//ynAbciIiAgs7GzOP06+gQMuj2NU9Tapo5BE2jk74LOHI3DvkC54Sr4G4/bNwYH3J6FUy0kVRERtHQs7G9Ox+iwAwCewl8RJSEoOCjneubsfBvXtjRohR3/dRhj+E45DPyyEqK2ROh4REUmEhZ0NqaqsgA/0AABf/27ShiHJyWQyjLsvAfvGr8QxmQoeKEPfvW/i9PyhyDvwh9TxiIhIAizsbIg2/xwAoFoo4OnjJ3EashbhI8ejS+JOqIMTUCzc0a36BDqvnohNX76GimruVkFE1JawsLMhxZfqumGLZF6QKxQSpyFr4urihOiHX4Luse34w/0WVAkF3jrWGTHv/oENRy5KHY+IiCyEhZ0NKfvf4PhiB1+Jk5C16tqlK0Y/vxJbblPjskd35GrL8dhXu7Hig3m4eHiL1PGIiMjMWNjZkKqiusKuzJGFHTVOJpPh5qFh2DBnDOJHqzBAcQpxBZ+gw8o7cPiDOJzZlgZRVSZ1TCIiMgMHqQNQ052RB+BYTQw8fQZgoNRhyOq5Oztg3m2hyAl1xuZVGzG2XI0+heuB9etRtt4Fp5TD4NDnTgSPnAxHd2+p4xIRkQmwsLMhe+R98V2NB57q1kPqKGRDQoJVUCWkY+ufGSjP+g59iv9EZ1kh+ug2Ads24elt5yF63YGYPh0xtmd7eLg6SR2ZiIhaiIWdDblUUgkA8PNwljgJ2RqZTIaRY8YDY8ajvLIGOzL/QOm+79H50lasr+iD8n15WLsvD885rsZtroegCxyHdsGR6Bw6HJ7tO0sdn4iImoiFnQ2R6U5BiRp0aMcWFWo5V2cHDLspCrgpCrUGgW9zi7D+8EVkHL6I6OLd6F51GtAcBTSfABuAfPgiz60XKtr3w+UhzyA00AedvVwgk8mk/lSIiOhvZEJwk0m9Xg8vLy8UFxfD09NT6jiNOv96d/jjEo7dsRq9IqKljkN26NSpHJzZlg7nvJ3oVHoUQYY8yGV1PyIuCG8Mq/wIAODl6ohX3H9ER09nOHcfDdXgsWjvrZQuOBGRHWtOncIWOxshDAb4CB0gAzw7BEkdh+xUt24h6NYt0fixrkiL3CM7cflkFi7qy9C70gMn8i+juLwKYwxr0eGyHsj7DJV/OGC/oifyfcLhEDIaXQaORbB/B7bqERFZGFvsYBstdsXafHj9p27SROXcPDi7uEuciNqqyppa/HVeh6odn0J+LhOBxVloL7QNjsk09ES84zsI7+qNyG7eGBrkjv5dO0IuZ6FHRNRcbLGzQ0X5Z+EFQA93eLKoIwk5OyjQL8gXCPpfy54QKMk7jnN71ag5uRkdi7Kwx9Ab2tIqZBy+iO2HTyLTeTZ2yvsiP+hWdB0RiwE9Q1jkERGZAQs7G3G5oG47MZ3cG9bZpkhtlkwGj4Be6B3QC8ATAIBHKisQcbEcu09pcfmwGq4XqjBc7AHO7EHN6WRkyfsiP3A8AoZPwYDevVjkERGZCAs7G1FRdB4AUMLtxMgGODm7IKyLC8K6eAOjQ1B1YRRyt6yE818/I7DyBCLFASD3AAxnFuE1h6ehGDgFt/X3R0RXbxZ5REStwMLORlQX1xV2FS7tJU5C1HxOnfogJPYNAG+gMv8EzmxZCafjPyOo/Ah+LwvG2W2n8OW2U/hHu8O4o1Mxuoy+Hz179ObkCyKiZmJhZyM08m44XhMDb9+hCJc6DFErOPt1R49JLwF4CZW6PLxxXoF1B84j4/BFTKxch6ize4DvPsABRR8Uqe5Er3EPoGPnLlLHJiKyCSzsbMQu+UD8WNMBLwWHSh2FyGSclZ0RpQSiQjuisqYWJ349hr8O1aBHxQH0rz0M/HUYtcdTcMB5ICp6343eE2ZzyzMioutgYWcj6rcT68DtxMhOOTso0PfOp4A7n4L+4mmc2PQNPE6sRY/qY+hftRe79pYjIrsXovt0xN2DAnBTFye4tPOWOjYRkVVhYWcjHHUnoYQMftxOjNoAz45dETb1ZQAv4/ypIzj1xzfIuOCOyiID1u0/j537j2K78z+R49ILZV1vRkDkRPiERAJyudTRiYgkxcLORvyndA68XEpxumYjgA5SxyGyGP9uofDv9g6GCYFJeXp8v+ccLu/9Ho41tQipPAwcPwwc/xBFMiXOdxiJdv1uQ2DE7ZC7sTWPiNoeFnY2oKK8DF4oBQB4+3E7MWqbZDIZ+gV4oV+AF8TtoTj21ySc3fUT3M9sRL/KPfCGDt7564CN6/D6H0dR0WcKxvX2w7AAJ3i1cwccOIyBiOwfCzsbUJSfC38AVcIBHt5c7oRIJpOhV89Q9OoZCiAB+To9du9Yj+oj/0Wwbjt+Lu2DgsxcrMjMxWyHH/GMwxrkufdBdcAQtA8dA+/eNwGubNEjIvvDws4GFF86B38AWpk3OnEMEdFV/JSe8Ls1Frg1FpU1tVik0WLj0XxsOpaPUP1pOKEa3Ur3Acf3AceXAj8C552DcdkvAoqY1xAcFMg184jILrCwswHl2jwAQLGDDzpJnIXI2jk7KDC6ZweM7tkBQF/k64fhj4N7oDu6Ga4XMtG94iBU8vPwrzyJ8jPn0P/jO+HlfhQDg5R4QLEeXdsJtO99E7xChgBOblJ/OkREzcLCzgZU6up2nSh34nZiRM3l5+kKvxEjgBEjAAAlFdXYdjwH+Yf+QMH505BrnVBYWoWNR/Mx12kZQuTngH0LUAMFzjmHoKT9YDh3G4rO/cfAvVN3iT8bIqLrs8rCLjs7G9OnT0dWVtZVzwNAWFgYNBoNdDodwsLCAAAajQbp6elQqVTQaDSYMWMGlEqlpaObhSi5AACodPWTOAmR7fNwccSIAb2BAb0BAA/W1OLgOT325xbh8P5/4IJ2D3pVH0FHmQ5dK48D544D51YiZ7M/4pWpGBykRFhXbwzxLkWwqifkCoXEnxER0f+zusKuvjirL+KulJqaiiVLlgAAoqOjkZaWZnwtLi7OWAhqNBpMnz69weu27JiiJ47VjEeHDsOkjkJkd5wdFAjv6o3wrt7ATUkAgOKyKmT+dRRFx7ZAcS4TnfQHsM8QhBP5l3Ei/zLWZJ3GPufp0MERJ9wG4rL/cHj0Hoee/SLh5ca1JolIOlZX2MXGxjb6Wnh4OIqKigCgQWucRqNpcJxKpYJarTZLPilskYVBXROId4L7Sx2FqE3wcnNC5MABwMABxuf89BXwO1uM7DNFOK/ZD8VFA3xkJRhSvgXQbAE0C1CwzhN/OvaDpvOd8Bw0ETf1aA8/DxcJPxMiamusrrC7kWt1r6rVavj4+DR4zsfHB9nZ2cauWluW/7/txPy4nRiRZDp4uiC6jwui+3QE0Bs1VROhObAFxUd+h9v57ehaegDtZXqMrtmGzJzOeP14VwBAuJ8M97c/gY6DbkFY7+5wdWLXLRGZj00VdjqdDunp6QCAzMxMxMfHQ6VSQafTXfN4rVZ7zecrKytRWVlp/Fiv15s8qym5FefAG07owO3EiKyGg5MLVOHRQHh03RM1VdDl7EDBgY3wQhj6nffEwXN6+BXswCT9+zDkvIpDCIbGMxKykCiEhN2M0MD2kMu5zAoRmY5NFXZXTohQqVSIiYlBTk5Oo8c3VvAlJSXhjTfeMENC0zPU1uLrqmfh5FKLi/IsAFxUlcgqOThB2Ws0lL1GozuAxwEUXq6E5s98nN+ngn+lBv2hQf8SDbB3JUr3OGOrrC+2Bj+J0IFDMbpHB3i78483ImodmyrsNBqNsWu1fvarRqOBUqm8qnVOq9U2Oit23rx5eO6554wf6/V6BAVZ51Zdxdp8eMtqAQDeHQIlTkNEzeHbzhm+tz0K3PYohP488vf9hsuH16P9xa3wMugwCtlIPFKCxUf2Qi4DHu54EiM6GRAUcRt6hYRw0WQiajabKeyys7MRFRVlnDxRz8fHB9HR0UhNTb3qPREREdc8l7OzM5ydbWO8WtGlXHgDKIIHvJ05CJvIVsk8/dFx1CPoOOoRwGBA9fkDyN3/ByZiKH4/mo9jF0twU2E6onR7gKOv4C9ZV5z3HQ630GiEDr0F7u08pf4UiMgGWHVhp9PpGnS9JicnG19Tq9WIjY2FUqm8qmVOo9EgIiLCLtaxKy04BwAolnuzE5bIXsjlcAwYCFXAQMwFMHdCb5zTlaPg5y04faYEXatOoIc4jR4Fp4HNK1D5pyP2ug7CzmGLMbqXH3p38mBrHhFdk9UVdmq1GhkZGQDqxsJFRkYaC7iIiAikpKRAqVQiJyenwTp1aWlpSExMRGRkJDIzM+1mDbsKbd2uE5cduesEkT0LULoi4IEkAEmo0F2EZtcvqDimRqB2O/xQiPLSUiT99xiS/nsMfh7OWOCxEsrAXugaeRuUgaEACz0iAiATQgipQ0hNr9fDy8sLxcXF8PS0ru6OHV+/gmGa/2C3ZwwinkuXOg4RWZgwGJB7Yj/2njiL7y/6YYdGC9fqImS7zDQec0neHhd9h8K1VxS6REyAo7KzhImJyNSaU6dYXYsd/c3lfABAjTu3EyNqi2RyObr0HIQuPQdhIoDKmlrsPZqDTTtmQnlhG0KrD6ODoQAdLq0DLq0DtjyHX72m4uKQebipR3uEdGjHbluiNoSFnZXb79APR2puQWe/IVJHISIr4OygwNB+PYF+dWOO8wu1OJqpRuXxjQjU7kQvcRLqS95Y/dNhAMCIdhfxuvMyVHUdg87ht8MneDAgl0v5KRCRGbGws3IbRAR21qjwH9VgqaMQkRXy8/WB361TgFunwGAQOHbyFEJPXcZNJ8uw65QWfcp3o2fNbuDwbuDwv1EkU+Ks91A49IxC8LB/wEXZSepPgYhMyGSF3alTp5CWloaMjIwGS5L4+PggJiYGsbGx6Natm6ku12Zculy3Q0aHdraxPAsRSUculyE0JBihIXULJFdU1+LAwU7I2OsHz7wt6Fe1H97QwVv7G7DjNxi2J+LNTovQuf84jOnZASEd3NltS2TjTFLYzZ07FzKZDFOmTMELL7xw1et79uzB4sWLIZPJkJSUZIpLthle+r/gg3bw8+CK9ETUPC6OCkQOHgwMrmvxLywuwb7dG1BxVI3OBVvRRZzDt6e9UXn6MN4EkNjuFwzxKISi53iEDJ8ID2V7aT8BImq2Vs+KXbBgAWbMmAEvL68bHltcXIz58+dbXXFnrbNiy0svw3VBAABA/0wOPPlDlohMRAgBTe45/H66Cn8cv4SdGi1+UjyPXvKzAIAaIcdx574oDhwL/yGx6NprIFvziCTSnDqFy53Aegu7c5qjCPh6KCqFI5xey4eMA56JyEzKKqtxbMevKDv0KwIu/Ylu4myD1/fJ++CnsM8Q06cjwrt6w0HBn0dElsLlTuxESWHdD9ZCuTc6s6gjIjNyc3bE4DETgTETAQDnNEdwNvNHuJ3MQK/yPTha5YdPt5zEp1tOwsdVgUXeq9EuNBqhI+6Au7u7xOmJqB4LOytWVli3nViJg4/ESYiorQlQhSJAFQpgLi4Xa9Hh2BlMOglsPJaPwPKjGKtdBWxdhctbXLDLfSiqe9yG0NGx8PHlkBEiKZm8sFuwYAFWrVqFzMxMAMDq1asRHh7OGbEtUF18AQBQ5sQflEQknXZePrh5iA9uHgLU1BpwcL83dm+7G90KNqE9ijCk7A9g3x+o3PsyslzDUTD4SUSMjIEvZ/MTWZzJCzuVSoVVq1YZP548eTLWrFnDwq4FDPq6wq7KlbtOEJF1cFDIMWhwJDD4SwhDLc4c3IpLmavR8VwGAg3nEF6xA1M3xWD2H3IMU/lgcg9HjO0TAJ8OXC+PyBJMPnArLCwMe/bsAQDMnDkTPXr0MLbeUfMoyuq2ExPcToyIrJBMrkCXAaMR/tj7CHzlEPLu24idwU+g3D8CtQaBrScKoc+YD48P+2B/UhR2pL8HbX6e1LGJ7FqrW+x69OiBsLAwxMTEICIiAoMGDYKvry82btyI8PBwLF682BQ526RMxSAcqqlGt07hUkchIro+mQyde4ajc89wrAVwurAUvxy4gP5bC+BYXYsBlbuBg7tRc+AN7HMNR03fWISOuxdu7W68VBYRNV2rC7uoqCjExcUhIyMDixcvxp49exAWFgYAmDdvXqsDtmW/imE4WNMHnwdHSB2FiKhZuvq6Y9bYEGDs7zh3Yh/Obl2J9md+RUitBgMrMoGsTJzc/R7+E7ocd4UFYmSIL5dQITIBs6xjt2fPHqjVamRkZGD37t2IiYnBypUrTX0Zk7HWdeyGJ23A+eIKrP3nSAwIVEodh4io1XKP78XZzd8g6OzP+KU6HO/U3A8A6OjugHfb/wC/IbEIGTyO63YSXcHqFig+efIkgoODzX2ZFrPGwk4YDLjz1U9xscYd3yf8A4E+7aSORERkMsJgwN5TF/H9gUL8vP88+pbvxjdO8wEAebJOOBt4O4Jufgz+wX0lTkokPYsVdsXFxSgqKmrWjFe9Xg8AVlNAAdZZ2JVdLobbwi51/37+NNzaKaUNRERkJtW1BuzZ9Qew/SP0Lf4T7rJK42tHnPqjvO896BP9EFzcrePnM5GlWWznCS8vL6xatQq+vr6YNGnSDY9fvXo1ioqK8Pjjj7fmsm1CceEFuAGoFI5wdeMPMyKyX44KOYYMHwcMH4fLl/XYuXEFnA+tRP+KLIRWHQD2HMC9e2QIGTQaUyKC0D/Ai/vWEjXCJF2xe/bsQVJSEkJCQhAZGQmVSgWlUgmdTgeNRoNdu3bh5MmTiI+Px80332yK3CZljS12f+3djB4/3IF8+MDv9ZNSxyEisri80yeg2fAZxNlMPFj2DIC6Yu5fyp8RGtgBIdGPw6dTF0kzElmCZGPsiouLsWrVKuTk5ECn00GpVCIkJATR0dEcY9dM+zetxoBN05CjCEbIK3uljkNEJBmDQWBbTiFW7c7FH4dOYatiJtrJKlAj5DjsPgSyiEfQd3Qc5A7cJZPsk8W6Yv/Oy8sL06dPN+Up26wq/SUAQLmDUtogREQSk8tluKlHe9zUoz2K9d2x/7e5UB5bhT41hzGgbAfw5w5c3PwyTnWNQ/dbZsPXn6141HbxzxsrVXO5AABQ6aSUNggRkRXx8vTAiLhnATyLnCN7cOH3JeiT/xM6igJ0PPUJPvr4Ao6EPoX7hnbBcJUvx+JRm2O2hYI2bNiAiIgIzJo1C6dOnQJQN3li1qxZ5rqkXRFlhQCAGmdviZMQEVmnkNDBGDn7E7gkHMOOQUk47NAXy6rH4ef953Hf0p14LuVD7Fj2LxQXXpQ6KpHFmK2wy8jIQFpaGmJjY5GQkIC9e/di8uTJUKvV5rqkXTnuGIrPa27FpfZDpY5CRGTVXN3cMeyu2ejz8jYsefIu3De0C9ydFLjzcjqG/fVvOP+nL3a9OxVHs/+QOiqR2ZmtKzYyMhLBwcEIDg5GVFQUFixYACEElEqluS5pV3Y6hOOXmgD8qysX5yQiaqp+AV545+7+ePG2UBxaewiaozqoak9hSPF/gbX/xZFfQlEy6HEMjHkAzs4uUsclMjmTtNjt3bsXa9asuer5hQsXGv/9wgsvQKvVIicnxxSXtHva0ioAgLebk8RJiIhsTztnBwyNm4Pgl/bg+B1rkOUVgyqhQGjNEQzZPQe759+KRRnHka+vkDoqkUm1usVu6dKliI+PBwB4e3sjOzsbXbt2xeTJk7Fhw4YGx0ZFRSErK6u1l2wTXPWn0QG18HFVSB2FiMhmyeRy9IyIAiKiUHjhDHJ++Q+6n1mFH6sisGrDX/j49xO4q68XHusrQ++BwznZgmxeq1vsMjIyYDAYYDAYsHLlSsyYMcP4WlRU1FXHW/N6dtZkweVEZLrMRqcKjdRRiIjsgm+nLhgybSE85h3DmLh/IqKrN2oMAi6H0xD6wwQcfGcUdqz7EpVVVVJHJWqxVrfYRUZGGv8dHR0NmUyGvXv3YtCgQa09dZslDAZ4iRJABnj4dJQ6DhGRXXF0dsXtg7rh9kHdcPBcMS6t+Qk1BXL0rz4AZD6Ns5nvQNPjEQy8fTa8OC6cbEyrW+y8vRsuxxEVFQWNhq1MrVGiL4KjrBYA4OnjJ3EaIiL71S/AC+OeXIyS+CxkBT2CYrRDIC5i9F/JEO/2xR+Ln0FuYanUMYmarNWFHcfMmV6J9gIAoEw4w8WtncRpiIjsn3dnFcIfex+uCUext/9LyJN3glJ2GVXn9mPMwk144rts7MvVSR2T6IZaXdilpqZCoVCgR48emDVrFtasWXNVi93evXtbe5k25bK2bjHNYrl17FtLRNRWOLl5YNDkBPi/dAiHR32IPzs/CoMA1u0/jyc+/gGZSbdg96afYKg1SB2V6JpkQgjRmhMsWLAAM2bMwO7du5GRkQG1Wo3s7Gx4e3sjIiICMTExyMzMxMqVK02V2eSas7muJezbuAID/4zHXw7d0eNltogSEUnpyHk9Pt18Ev0OJOFRxa8AgKPy7igcNBORtz4CJydHiROSvWtOndLqwq4xGzZsQHZ2NjIyMrBhwwbU1taa4zImYW2FXeYPHyJy70vY7xKBAXM33PgNRERkdpdOHULuLwvRJ/8nuKAaAHBa1hm5oTMQMXEWXFy44DGZh1UUdldasGABXnjhBXNfpsWsrbD78acfULBzBTwDeyNu5utSxyEioitcLrqA42sXIeTkMnjhMgAgB0FYP+Z7PDC8Gzxc2IJHptWcOsVse8VeKTY21hKXsRtHHXvjzZoHcSRgitRRiIjob9p5d0LYwylwfv4Qsns9i0Iooa4ZgOTfjmPk/I1YlHEcRUVFUsekNsrkhd2CBQsarG23evVqruTdTEX/207Mx51/9RERWSuXdkqE3fs6POceRqc7XkFIB3foK2qwY+NayN/riy1LnsWl/DypY1IbY/LCTqVSYdWqVcaPJ0+ejOzsbFNfxr4V56IDiuDjyoKYiMjaObq44x/DQrH+2TH46L4wPOqxE16yUtyU9zncPhqErR/PwqULZ6WOSW2EyQu7sLAw7NmzBwAwc+ZM9OjRA5mZmaa+jF176Pw7yHR5AqG6zVJHISKiJlLIZbh9gD9uTVyOAyM/gMYhBO6ySozM/w5un4Rha+pT0F66IHVMsnOt3lKsR48eCAsLQ0xMDCIiIjBo0CD4+vpi48aNCA8Px+LFi02Rs01xr9UBAJw8uesEEZGtkSkc0D/mIYioB3B482o4bZ6P7jUnMPL8Vzj64SZ8PnwVpo8OgZcbh9uQ6bW6xS4qKgozZszAiRMn8Pjjj0OhUCAqKgqJiYnw9fU1RcY2x8OgBwC4ebOwIyKyVTK5HH3GxCHkxUwcGPUJTiq64bOaW/DhphzclLIRH2YcQUmxVuqYZGfMstzJnj17oFarkZGRgd27dyMmJoYLFDdRbW0t8C9fKGQCBTMPoH2nLpLmISIi0xCGWqw/fAGLMnJw7GIJ7lFsRKLjShwNmYaBk56Hm7v0y22RdbK6dexOnjyJ4OBgc1+mxaypsNMVXITyw54AgOoX8+Ho5CxpHiIiMi2DQWDdgfPwX3sPImr3AQAKoMSJXjMQNmkOnJy50DE1ZHXr2DW3qMvOzkZ4ePhVz2s0GqSkpCA9PR0pKSnQ6XRNes2W6LXn6/4LNxZ1RER2SC6X4c6BnTForhq7B72FPFlHtIcOw46l4NL8Acj65VMIg/Xu1kTWrdWTJ0wtPT0dKpXqmkukxMXFISurbu9UjUaD6dOnIy0t7Yav2ZKyonwAQInMA2yUJyKyXw6OToi460lU3zYDu378D1SHPkSAuIiAXXPwy/6N8J3yAYaqOFadmsciLXbNERsbi7CwsKue12g0DT5WqVRQq9U3fM3WFAgPfFYzAZtdo6SOQkREFuDo5IwhcS/Adc5+bO8yE5eFK5YWD8HUJTvw+Fe7ceKiXuqIZEOsrrBrjFqtho+PT4PnfHx8kJ2dfd3XbM05RQDerHkQ6/2mSR2FiIgsyN3DC8OnJaPiyYPoOzQKCrkM6iMXsf6DJ5D5/n0oyNPc+CTU5tlMYdfYmDmtVnvd166lsrISer2+wcNaaEurAQDebk4SJyEiIim0b98eb93VH789Mxp393LBNMWviCxah3apQ7Br6VMo5RIpdB02U9g15nqTJBp7LSkpCV5eXsZHUFCQecK1QJXuPPxQhPauUichIiIpdfdrh3cfjYLm9hU47NgXLrJqDDn3FareHYisNYtgqKmROiJZIZsp7JRK5VUtcFqtFkql8rqvXcu8efNQXFxsfOTm5pordrMNP/URdrk8gbHaVTc+mIiI7F6fIdEInbcFu4d/jNOyQHhDj/D9b+Dk/CE4um+H1PHIythMYRcdHX3N5yMiIq772rU4OzvD09OzwcNaOFUWAQAU7dpLnISIiKyFTC5HxC33o9PcLGzt/jz0wg2dq3Px6PLjmLNqH/L1FVJHJCth1YXdlV2pKpWqwWsajQYRERFQKpXXfc3WuFTrAACOHh2kDUJERFbH2dkFIx94BZWzMvFtlzdxHr5YnX0W4xZuwvq0VFSVl0odkSRmdevY1W9FBtSNhYuMjERsbCwAIC0tDYmJiYiMjERmZmaDdequ95otca8tBgC4eLGwIyKia+vQKRDTH5uJiDNFeP2nw3A+ux3jD72JC4cX4tKIl9E/+iFAJpM6JknAIluKWTtr2lKs+PXO8EIpTt+zCV17D5Y0CxERWT+DQWDrbyvRY+dL6IQCAMBh50HwuHshgnpHSpyOTMHqthSjpqmuroIX6prRPX07SpyGiIhsgVwuw6gJ96Dd83uwJeAxVAhH9KncC//l45GZOhsVpcVSRyQLYmFnRYq1dduJGYQMnt7siiUioqZr184TN01fhEsPb8Fut1FwkBkQeX4ZNP++Gb8fuSh1PLIQFnZWRFdhwKc1E7BGFg2Fg6PUcYiIyAYFqXoj/IWfkHXTEuTBD59U3IpHv9qN2cuycKGYs2ftndVNnmjLCmrd8VbNg1B5uyNW6jBERGSzZDIZwqOnonTYbfD/IxeKrafwy4ELcDm2Fvf0BMKmvAgHJ2epY5IZsMXOihSVVgEAfLidGBERmYB7Ow+8eHsf/PzkTbgp0BHzZJ9jyIn3kJs8BMcz1VLHIzNgYWdFLusuoSO06OAmdRIiIrInof6e+HpWNDQDX0ARPBBcewo9101G5n8egL4wX+p4ZEIs7KxIYM5y7HT5Jx4t+kDqKEREZGfkCjmGTnoK4olM7FTeBgCI1P6Emg/Ckb3uUwiDQeKEZAos7KyIrLxuv9taVx+JkxARkb3y6eCPoc8sx6FbVuCUPAg+0CMscw7e/GwVtyazAyzsrIiiom6fWBkLOyIiMrO+wyfAPzET24Jm4NvaGHye44GoRX9gVWYuuHeB7WJhZ0WcquoKO0W79hInISKitsDZ2RUjHluAiCc+x4BAL5RU1OA/azZgT/ItyMs5JHU8agEWdlbEpbpudXBHDxZ2RERkOb07eWLNrBF46bZQvOb4LcIqdsL767HYuewN1NZUSx2PmoGFnRVxr60r7Fw8WdgREZFlOSjkmD5ahdCH/4MDToPgKqvC0L8WIWf+CJw6vEvqeNRELOysiKcoAQC4KrlPLBERSSMwpA/6Jv6OHf3+Bb1wQ8+a4whYeSt2fvY8qqs4ucLasbCzEjU1tVhRMxara0fBs31nqeMQEVEbJlfIMSz2aZTP2IZst5FwlNViaO5SfP3ePBy/WCJ1PLoOFnZWQldRg3dq7sfzNbPg6d1B6jhEREToGBCMwc//jMzIRchEH6RoR+OOD7Zg6Z8a1Bo4c9YasbCzErqyuu3EvFwdoZDLJE5DRERURyaXI/L2x9Dl2Y0Y3isAVTUGzP/lIDIWPoi8nINSx6O/YWFnJXS6YnSEFn6uUichIiK6WkcvV3zxSCSSJvXHbKdfcWvZT1B+fTMyV6Vw1worwsLOSihObcJOl3/ig8pXpI5CRER0TTKZDPcO6YJ7pz2Dg04D4SarROTht3EoJQqXzmmkjkdgYWc1qksKAAAVjl4SJyEiIrq+zt16oU/i79je8wVUCEf0q8iG89KRyP7pE4C7VkiKhZ2VqC0tBABUOXlLnISIiOjG5AoFht/3Mi7cm4FjDj3hiTKEZc3Ffz94wjhunCyPhZ2VkJXVFXa1LizsiIjIdnTrPRiqxK3Y1mUmSoQr/n1+IG59bzO25xRKHa1NYmFnJeQVdfvEwtVH2iBERETN5OjohBHTknHmwR2o8e2FC/oK3PfpDqxctQzVVZVSx2tTWNhZCccqHQBA5u4rbRAiIqIW6tu9G35+8iZMjQjCYBzH5EP/xMmUm5CXc0jqaG0GCzsr4VqtAwA4ebCwIyIi2+Xu7IDk2AGYO64zSmWu6FlzHF5f34zdP37EiRUWwMLOSvwhi0R67WjIO/SQOgoREVGrDRk/FeWP/YlDjv3hLqtAxJ4XkfXuZJToOPbOnFjYWYnU2jvxfPVMuAYOkDoKERGRSXQK6o5eCb9jW9dZqBFyhOs3oOT9YTiWqZY6mt1iYWcFDAZhnBqudHOUOA0REZHpODg6YsSj83HijjTkyfzQWeTjux9/xgcb/uJ+s2bAws4K6MvK4ScK4YwqKF2dpI5DRERkcr0jo9Hu6R1Y0+EJfFUTjX9nHMdDn+/EpRLOmjUlFnZWoORCDna4PIls55lwcuAtISIi++Sp9MXds9/GwrhBcHVUYN+JXJxZNA6Htv8qdTS7wSrCCpQWXQQAFMs9JU5CRERkXjKZDLHhgVj7z5F41XMdwsUh9Prvfdj21csw1NZKHc/msbCzAhX6un1iSxXcJ5aIiNqGHh09cMdT7yPTazwcZAaMOPkB9i24DUUFF6WOZtNY2FmBKv0lAEC5Aws7IiJqO9zaeSHi6ZXY3f91VApHDK7YgYoPR+LI7o1SR7NZLOysgKG0bk2fKieltEGIiIgsTCaXI2LyszgXuxbnZJ3gj0sI+SkW61d/BsEFjZuNhZ0VEGVaAECti7fESYiIiKSh6j8Cnk9vw952o6CFJ+ZlumLGN1koLquWOppNYWFnBRQVdYWdcPGROAkREZF0PJS+GPjcWmwduxIlCm9kHL6I2z/YjCPH/5I6ms1gYWcFDiv6IL12NMra95M6ChERkaRkcjkmjxuK1bNGIMjHFRHFGeiybCR2/PSp1NFsAgs7K/CLwzg8Xz0TZd2ipY5CRERkFfoHeuHnf96Eh732wF1WiWFZc7Dlk9mormbX7PWwsLMC9duJebtx1wkiIqJ6Xm5OGDjnJ2QGPAgAuOniMhxeMB4F+eclTma9WNhZAUXpRTijioUdERHR38gdHBE5/UPsH/YuyoQzBlZlo+rj0Ti6Z4vU0awSCzuJCYMBa6tn4pjLI/A1XJI6DhERkVUacOs0FNyzDnmyTuiMfHT5YRJ+3Lxb6lhWh4WdxC6X6OAoq9tCxcuno8RpiIiIrFeX0Eh4PLUZB10j8XntrXh63UW8+P0BVNZwK7J6LOwkpi+s2zqlXDjBxa2dxGmIiIism4e3H/rM+S9k416ETAZ8t/MMZn+yDvkXcqWOZhVY2EnssrZuAGixjNuJERERNYXcwQFPRPXG549Eor2LAU9eeh2GxWNxJOtPqaNJzqYKu+zsbGRnZwMANBqN8d/1H6ekpCA9PR0pKSnQ6XQSpWye8uJ8AECJgoUdERFRc4zr5YfvH+4JX4cKdEIBuq2djB0/fyZ1LEnZVGGXmpqK8PBwyGQyxMfHQ6VSGV+Li4tDQkICYmNjERsbi+nTp0uYtOmq9HUTJsoduZ0YERFRcwUF94LP01twwG0IXGVVGLb7OWz+NAGGWoPU0SRhU4VdeHg4ioqKUFRUhIyMDCiVSgB1rXVXUqlUUKvVEiRsPsPlusKu0pmFHRERUUu4e/mg73O/Yrf/PQCAUWdTkfluLEpLL0uczPJsqrADAKVSaSzo6qnVavj4NNxn1cfHp0FXrbU6o+iKtJrRuKgMlzoKERGRzZI7OCAiPhXZA15DtVBg6OUN2Pb+Q8jTlUsdzaIcpA7QHDqdDunp6QCAzMxMY3dsY+PptFrtNZ+vrKxEZWWl8WO9Xm/yrE21yzEC6TWdkBDcS7IMRERE9iJs0nM47t8Lzr89j3+V3IHyD7di6UPhGNylbfSM2VRhN2PGDGNrnUqlQkxMDHJycho9vrGCLykpCW+88YYZEjaftrRuOzFfd+46QUREZAo9h9+Osz1Hw/2bPci9UIKpS3bgowk+iBk5VOpoZmdTXbFXjqVTqVTQaDTQaDRQKpVXtc5ptdqrumzrzZs3D8XFxcZHbq50a9/UlFyECyq5nRgREZEJBfp6IH3WCESH+mGkIQtj10/A5s9ftPtJFTZT2GVnZyMqKuqq5318fBAdHX3N90RERFzzeWdnZ3h6ejZ4SCVJ+xyOujyKLmUHJctARERkj9o5OyD1wQjM6HoejrJajDrzEXa9NxXlZWVSRzMbmynsVCoVkpOTjR+r1WrExsZCqVQ2WPYEqGvZi4iIaLTFzpp4GerG97l7czsxIiIiU1PIZRge/xGy+72EGiHHsJL10CyKRkH+BamjmYXNjLFTKpWIiIhASkoKlEolcnJykJaWZnw9LS0NiYmJiIyMRGZmZoPXrFVFeRnayepm63j6+kuchoiIyH6FxSbgmH9PdM6Yib41h3Dqk5tR+sBqdA0JlTqaScmEEELqEFLT6/Xw8vJCcXGxRbtlL57NQcdPw1AtFHB4rQAyuc00oBIREdmk3KOZcF45FX6iEAXwwrkp6zGwT2+pY11Xc+oUVhISKimsawYulnmwqCMiIrKAoN6RcJixEScVwfi1JhJx32nwy4HzUscyGVYTEirXXQQAlMiV0gYhIiJqQ3z8u6HTM5uwuXsCqmoEnvguG5/9cUzqWCbBwk5ClcX5AIBSR6W0QYiIiNoYVw8lPnloCB4a3hUKUYMe6sewefGTqK2tlTpaq7Cwk9AFuR9W1YzBCY8hUkchIiJqcxRyGd6Y2BcfRhZitOIARl34GlnvxqGi3HaXQ2FhJ6Ejjn2QUBOPPUEPSx2FiIioTZLJZLh18jTsCXsH1UKBIZc34K9Ft6Co8JLU0VqEhZ2E6rcT83F3ljgJERFR2zZ44hPIifkcl+GK/tX7oftwHHI1tjfujoWdhKr0+XBFBXzacTsxIiIiqfW+6S5op/yIS/BBsMiF89e34q8Du6SO1Sws7CT0+LlXccRlGvoWbZQ6ChEREQHo0mcoZNPVOC3vAldRjpfTs7BTUyh1rCZjYSch91odAMDFy0/aIERERGTUPiAEPk+qMd/3Heys7IKHPt8F9eGLUsdqEhZ2EvI0FAMA3LhPLBERkVXx8O6IV2Y9jOhQP1TWGPDJshXYuXap1LFuiIWdRGqqq6DEZQCAh08nidMQERHR37k4KvDJA+F4rJ8CnzqkIDLrBWxdPl/qWNfFwk4iRf/bTswgZFD6ssWOiIjIGjkq5Hjpnmic8BsPuUxg5LEkbP30eQiDQepo18TCTiL6S3kAAK3MCwoHR4nTEBERUWPkDg6ImPUZdnWdAQAYeXYpdnz0uFXuUsHCTiKlhWcBAMUKb4mTEBER0Y3I5HIMeXQBMvvMg0HIMLxwNbLfjUVlZbnU0RpgYSeR/FpPrKwZi4PuI6SOQkRERE0UOWUu9g1ZgGqhQOTljVj78VyUVtZIHcuIhZ1E/lKEILFmBv4MjJc6ChERETXD4Nun49jNS/CnGISXL47FfZ/uRHFZtdSxALCwk0x+SQUAoIMHtxMjIiKyNf3GxMJj2vdwdXOHl6sjXJ0UUkcCADhIHaCtKi+6AFdUsLAjIiKyUYO7+mDNrBHo5OUCJwfraCuzjhRt0INnX8cRl2kYWLxB6ihERETUQqoO7eDmZD3tZCzsJNKuRgsAcFVycWIiIiIyDRZ2EvE2FAEA2vkGSJyEiIiI7AULOwlUlJfCE6UAAGXHQInTEBERkb1gYScB7cW6xYmrhAM8vXwlTkNERET2goWdBPQF5wAAWpk3ZHLeAiIiIjINVhUSKNPW7ROrd+B2YkRERGQ61jM/tw25KLyxvGYcXL27oqfUYYiIiMhusMVOAkfkPTCvZjp2dXlc6ihERERkR1jYSeC8rhwA4O/pInESIiIisifsipVAZWEuXFEJf6Wr1FGIiIjIjrDFTgLP5yfgiMs09C7fK3UUIiIisiMs7CxMGAxoX1sAAPDq1FXiNERERGRPWNhZmL7oEtxklQCADp2DJU5DRERE9oSFnYUV5J0EABTBEy5u7SROQ0RERPaEhZ2FleSfAgAUKjpIG4SIiIjsDgs7C6ssPAMAKHHuKHESIiIisjcs7CzMoMsFAFS5dZI4CREREdkbrmNnYftFD5yuGYsOnYZJHYWIiIjsDAs7C1tbORiHakLwaZ8IqaMQERGRnWFXrAUJIXC6sAwA0K29m8RpiIiIyN6wsLOgQl0x/KtOwUVWhUBvFnZERERkWuyKtaCC47uQ4ZyA8+gAF8e7pY5DREREdoYtdhakzz0IAChwDpI4CREREdkjFnYWJC4cAACUeodKnISIiIjskd10xWo0GqSnp0OlUkGj0WDGjBlQKpVSx2rAs/gYAMChc3+JkxAREZE9spvCLi4uDllZWQDqirzp06cjLS1N4lT/77K+CCFVxwAZ4Nd7uNRxiIiIyA7ZRVesRqNp8LFKpYJarZYozbUd3/YjnGQ1OCvzR1D3AVLHISIiIjtkF4WdWq2Gj49Pg+d8fHyQnZ0tUaKr1Rz5LwDgrN8YyOR28WUnIiIiK2MXXbE6ne6az2u12ms+X1lZicrKSuPHer3eHLGMag0CC0piMKTaA+PDp5r1WkRERNR22XXTUWMFX1JSEry8vIyPoCDzLz/y1L0TUTn8WfQJH2v2axEREVHbZBeFnVKpvKp1TqvVNjordt68eSguLjY+cnNzzZpPIZdhVI8OePmOPnBU2MWXnIiIiKyQXVQZ0dHR13w+IiLims87OzvD09OzwYOIiIjI1tlFYadSqRp8rNFoEBERYXXr2BERERGZk11MngCAtLQ0JCYmIjIyEpmZmVa1hh0RERGRJciEEELqEFLT6/Xw8vJCcXExu2WJiIjIqjSnTrGLrlgiIiIiYmFHREREZDdY2BERERHZCRZ2RERERHaChR0RERGRnWBhR0RERGQn7GYdu9aoX/FFr9dLnISIiIioofr6pCkr1LGwA1BSUgIACAoKkjgJERER0bWVlJTAy8vrusdwgWIABoMBeXl58PDwgEwmM8s19Ho9goKCkJuby0WQrQTviXXh/bA+vCfWh/fE+ljingghUFJSgs6dO0Muv/4oOrbYAZDL5QgMDLTItTw9PfnNaGV4T6wL74f14T2xPrwn1sfc9+RGLXX1OHmCiIiIyE6wsCMiIiKyEyzsLMTZ2RmvvfYanJ2dpY5C/8N7Yl14P6wP74n14T2xPtZ2Tzh5goiIiMhOsMWOiIiIyE6wsCMiIiKyEyzsiIiIiOwECzsiIiIiO8HCjoiIiMhOsLAjIiIishMs7IiIiIjsBAs7IiIiIjvBwo6IiIjITrCwIyIiIrITLOyIiIiI7AQLOyIiIiI74SB1AGtgMBiQl5cHDw8PyGQyqeMQERERGQkhUFJSgs6dO0Muv36bHAs7AHl5eQgKCpI6BhEREVGjcnNzERgYeN1jWNgB8PDwAFD3BfP09JQ4DREREdH/0+v1CAoKMtYr18PCDjB2v3p6erKwI2qDDAbDDbs3iIik1pThYvxJRkRt2ieffAJPT0988MEHUkchImo1FnZE1CYJIZCUlITZs2ejtLQU//73vyGEkDoWEVGrsLAjojZHCIG5c+fixRdfBAAoFAqcPn0a27ZtkzgZEVHrsLAjojaltrYWM2fOREpKCgBg4cKFeOCBBwAAy5YtkzIaEVGrsbAjojajuroaDzzwAJYsWQKZTIalS5dizpw5uO+++wAAq1atQnV1tcQpiYhazuoLO41Gg5SUFKSnpyMlJQU6ne66x2dnZyM8PNwy4YjIZpSXl+Puu+/GihUr4OjoiBUrVuDxxx8HANx8883o2LEjCgsLsX79eomTEhG1nNUXdnFxcUhISEBsbCxiY2Mxffr0Ro9NT08HUFfcERHV0+v1mDBhAtatWwdXV1f8+OOPmDJlivF1BwcH3HPPPQDYHUtEts2qCzuNRtPgY5VKBbVa3ejxsbGxCAsLM3csIrIhBQUFiIqKwh9//AEPDw/89ttvmDBhwlXH1XfH/vjjj7h8+bKlYxIRmYRVF3ZqtRo+Pj4NnvPx8WGLHBE1yblz5zBmzBjs3r0b7du3x++//45Ro0Zd89jIyEh0794dZWVl+PHHHy2clIjINKy6sGtsPJ1Wq23VeSsrK6HX6xs8iMi+nDlzBqNGjcLhw4cREBCAP//887rjb2UymbHVjt2xRGSrrLqwa8yNJlDcSFJSEry8vIyPoKAg0wQjIqvx7LPP4uTJkwgJCcGWLVsQGhp6w/fcf//9AID169fj0qVL5o5IRGRyVl3YKZXKq1rntFotlEplq847b948FBcXGx+5ubmtOh8RWZcDBw5gzZo1kMlk+PHHH9GtW7cmva9nz56IiIhAbW0tVq1aZd6QRERm0KLCbu7cufj0009RXFyM8ePHY+rUqVizZo2psyE6Ovqaz0dERLTqvM7OzvD09GzwICL78eabbwKom1Xft2/fZr2X3bFEZMtaVNhFRkbi8ccfx5IlSxAeHo6VK1eisLDQ1NmgUqkafKzRaBAREWFsscvOzr5q5my91nbXEpFtOnTokHHpo5dffrnZ77/nnnsgl8uxffv2Rn++EBFZqxYVdt7e3gDqVmmfOnUqAFw1e9VU0tLSkJiYiPT0dKSmpiItLc34WlJSkvEHOFA3izYxMfGarxFR2/DWW29BCIHJkyejf//+zX6/v78/br75ZgDA8uXLTR3PrCorK1FeXi51DCKSkEwIIZr7pqVLl0KlUiEuLg5arRYnT57Ehg0bjKu42xq9Xg8vLy8UFxezW5bIhh09ehR9+vSBEAJ79+7FwIEDW3SeL774AtOmTUNoaCgOHToEmUxm4qSmV1lZidDQUJSVleH777/H8OHDpY5ERCbSnDqlRS12U6ZMQXZ2NrKyslBcXIzU1FR2fRKR5N5++20IIXDXXXe1uKgDgEmTJsHZ2RlHjhzBvn37TJjQfNatW4eTJ0/i4sWLGDduHCd/ELVRLSrsvLy88MILLyA4OBheXl6YP39+oxMdiIgs4fjx4/juu+8AAK+88kqrzuXl5YU777wTgO1Movj2228BAL6+vqisrMTUqVORlJSEFnTKEJENa1JX7Keffnrd13U6HVauXInMzEyTBbMkdsUS2b5HHnkEX331Fe68806sXbu21ef7/vvvMWnSJAQEBOD06dNQKBQmSGkeWq0W/v7+qKqqwp49e/Dll1/i/fffBwBMmzYNixcvhqOjo8QpiailTN4Vu3jxYhQVFTX6EELwr0IikkxOTo6xxaq1rXX1brvtNiiVSpw7dw6bN282yTnNJS0tDVVVVRg4cCAGDRqE9957Dx988AHkcjk+//xzTJgwgcNliNoIh6YclJycjKioqOsew65YIutVXl6OlJQUODg44MUXX7SJyQDN8c4776C2thYTJkxAZGSkSc7p7OyM2NhYfPrpp1i2bBnGjh1rkvOaQ31R+8ADDxif++c//4ng4GBMnToVGzZswIgRI7Bu3ToEBwdLFZOILKBFs2L/buPGjdDpdJg0aZIpMlkcu2LJnh06dAj33HMPDh48CAB477338PTTT0ucynROnjyJnj17oqamBtu3b8ewYcNMdu7ff/8dN998M5RKJS5cuABnZ2eTndtUTp48CZVKBZlMhtzcXAQEBDR4fe/evbjjjjtw7tw5dOjQAWvXrjXp14iIzM/ss2IBYM2aNVi4cCEWLlyIrKwsrFy5sqWnIiIzEEJg8eLFiIiIwMGDB9GuXTsAwAsvvIDdu3dLnM50kpKSUFNTg/Hjx5u8YBk9ejQCAgKg0+nw66+/mvTcplI/uSMqKuqqog4ABg0ahJ07d2LQoEG4dOkSxo0bxzU+iexYi7cUW79+PXbt2oWCggLk5OQgPj7e1NmIqIW0Wi0mT56MWbNmoaKiArfeeitOnDiBSZMmobq6GlOnTkVxcbHUMVvt9OnT+PLLLwEAr732msnPr1AocM899wCwztmxQgh88803ABp2w/5dQEAANm/ejNtvvx0VFRWIi4vDwoULLRWTiCxJtMCSJUuEEEJoNBpx8uRJIYQQGzZsaMmprEJxcbEAIIqLi6WOQtRqf/zxhwgMDBQAhKOjo/j3v/8tamtrhRBCFBUViW7dugkAIjY2VhgMBonTts7MmTMFABEVFWW2a2RnZwsAwtnZWeh0OrNdpyV27dolAAhXV1eh1+tveHxNTY146qmnBAABQGzbts0CKYmotZpTp7SoxU6lUuH06dMIDg5mkz6RlaipqcFrr72GcePG4ezZs+jRowd27NiB5557DnJ53be6UqnEypUr4eDgYNymz1bl5ubis88+AwC8+uqrZrvOoEGDEBoaisrKSnz//fdmu05L1LfW3XXXXfDw8Ljh8QqFAu+//z4eeughAMCbb75p1nxEZHktKux0Oh1UKhX0ej0KCgpwyy232PQvCCJbd/r0aYwdOxb/+te/YDAY8MgjjyA7OxthYWFXHTtkyBAkJycDAJ555hns3bvXwmlNIyUlBdXV1Rg7dixGjx5ttuvIZDLcd999AKyrO7a6uhorVqwAADz44IPNeu+rr74KhUKBX3/91WbXHyWiRpiiiVCtVltdF0VzWKor9rfffhMvvviiqKmpMet1qG1Zs2aNUCqVAoDw8PAQy5Ytu+F7DAaDuOOOOwQA0bNnzyZ141mTc+fOCWdnZwFAbNy40ezXy8nJEQCEXC4XeXl5Zr9eU/z8888CgPDz8xPV1dXNfv+DDz4oAIiJEyeaIR0RmZLZu2L/LioqCkVFRaY4lV275ZZb8M4773AGMZnMkSNHEBsbC51Oh6FDh2Lv3r3G1qXrkclk+PLLLxEYGIjjx49j1qxZNrXIeEpKCiorKzFq1CiLrC+nUqkwfPhwGAwGq/n+rV+77t5774WDQ5OWJG3gpZdegkwmw9q1a2221ZaIrtaiwm7jxo0NHmvWrOGs2GbIy8uTOgLZifnz58NgMODWW2/F5s2boVKpmvxeX19frFixAgqFAsuWLcMXX3xhxqSmc/78eePQj1dffdViiy3fe++9AICff/7ZIte7Hr1ejx9++AHA9WfDXk+vXr2MM37feustU0UjIom1qLCbMWMGUlNTsXjxYixevBiPP/44lEqliaPZl+rqauO/69cTI2qNU6dOGcd8/etf/2rRXqAjR440/lL/5z//iUOHDpk0ozl88MEHqKiowPDhw2+4I44pDR8+HACwb98+yVs316xZg4qKCvTq1Qvh4eEtPs9LL70EAFi9erVxAWsism0tKuySk5OxcuVKrFq1CqtWrYJWq8WMGTNMnc2uFBYWGv/t6uoqYRKyFwsWLEBtbS1iYmJatY1WQkICxo8fj/LyckyZMgVlZWUmTGl69TNTn376aYtujdanTx/I5XIUFBTg4sWLFrvutdTPhn3wwQdb9TXo27cvYmNjAbDVjshetKiwmzx58lXP2dvek6Z26dIl478rKyslTEL24Pz588alPl588cVWnUsul+Obb76Bv78/Dh8+jKeeesoUEc3i1KlTOHr0KBQKBW655RaLXtvNzQ09evQAAOzfv9+i177S2bNn8fvvvwMA7r///laf7+WXXwYArFq1CkePHm31+UhaQggUFBRg7969OH/+vNRxSALNH3ELXLVieWFhIXQ6HW6++WaThLJHVxZ21t4iQtbv3XffRWVlJUaMGIExY8a0+nx+fn747rvvEBUVhc8++wzjxo0zSdFgavXbeg0fPlyS4R/9+/fHsWPHcODAAYwfP97i1weA7777DkIIjBo1Ct26dWv1+QYOHIh//OMf+PHHH/H2228bWwPJOpWVleHw4cM4e/Zso4/6xgNHR0ekpKRYvHWbpNWiFrsVK1ZACGF8qFQqzJ8/39TZ7EpBQYHx3+Xl5RImoXpSj5NqKa1Wi08++QRAXWudqX5gjx071rjQb3x8PHJzc01yXlOqL+wmTJggyfUHDBgAQNoWu/rZsC2dNHEtr7zyCoC6ovGvv/4y2XnJtHbv3o2QkBBERkbi7rvvxpNPPonk5GQsW7YMf/zxB3JycoxFnY+PD6qrq/Hss89i8uTJ0Ol00oYni2lRi11ycrJFBy3bgytb7FjYSe/LL7/E9OnTERwcjOHDhxsf/fr1g0KhkDredX344Ye4fPkyBgwYgNtuu82k53755ZeRkZGBrVu3Yu7cuVa1IG9lZSU2btwIQLrCrn///gCAAwcOSHL9/fv348CBA3ByckJcXJzJzhseHo7bb78d69atQ1JSEj7//HOTnZtMIyMjA3fffTdKS0vh4+OD7t27IzAwEEFBQQgMDGzw6Ny5MxwdHfHRRx/hueeew/fff499+/YhLS3tmouWk32RCRM1W5w6dcok3QJS0Ov18PLyQnFxMTw9Pc1yjddffx1vvPEGAGDOnDncgFtCBw4cwJAhQ1BRUXHVa+3atcOQIUOMhd6wYcPg6+srQcpru3z5Mrp27QqtVosVK1Zg6tSpJr/Gnj17EB4eDiEEtm3bZpwNKjW1Wo2YmBh06tQJeXl5knQtaTQahISEwMnJCaWlpS1aP641XnjhBSxcuBCTJk3C6tWrTXrunTt3YtiwYVAoFPjrr78QHBxs0vO3lBACly9fRkFBAS5duoRLly41+LfBYMDMmTMREhIidVSzWb58OR5++GFUV1cjKioK33//fZO2kAOAzMxMxMXF4fTp03BycsL777+P+Pj4Zn3/VFVV4eeff8bevXvh4+ODDh06oH379ujQoYPx4eLi0tJPj5qgWXVKU1Y83rNnzw0fU6ZMadFqytbAEjtPzJ4927jx9uzZs812Hbq+y5cvi9DQUAFATJgwQaxbt068/PLLIioqSrRr1854j6589OrVS3z77bdSRxdCCLFw4UIBQHTv3t2sO5g89thjAoCIjIwUtbW1ZrtOczz33HMCgHjkkUcky1BbW2v8/+TQoUMWvXZNTY3o3LmzACC+//57s1xj/PjxAoCYPn26Wc7fFAaDQXz11VciMjJSBAYGGncYud6jQ4cOIisrS7LM5vTee+8ZP8+pU6eKioqKZp9Dq9WKO++803iee++9t0m7zRw+fFjMmTNHdOjQ4Yb3oF27diI4OFgMGTJETJ48WXzxxRdCq9W25FOma2hOndKkws7b21uMHz9exMTEiJiYGBERESHCw8ONH4eEhIiIiIhWB5eKJQq7uLg44zfAo48+arbr0PU9/vjjAoDw9/cX+fn5DV6rqakR+/btE4sXLxYPP/yw6NmzZ4MfXAkJCZJuB1deXi78/f0FAPHpp5+a9VoXLlwQHh4eAoD48ssvzXqtpqovyFeuXClpjmHDhgkAYsWKFRa9bkZGhgAgvL29W/TLvSm2bNkiAAhHR0dx+vRps1zjenQ6nbjnnnuuWTi4uLiIoKAgERYWJm655RZx//33i2eeeUYMGjTIuJ3epk2bLJ7ZXAwGg5g7d67x83/yySdb9UeWwWAQCxcuFAqFwriV4P79+686rqSkRHz22WdixIgRDb7+/v7+Ytq0aWLq1Kni5ptvFv379xedOnUSDg4OjRZ7jo6O4rbbbhNffvmlKCoqasVXg0xe2C1ZsqTBx+np6Vcdc63nTCEnJ0ckJyeLtLQ0kZycfN3/OZpz7JUsUdiNHTu2wV9dZHnLly8XAIRMJmvy/qIFBQXixRdfNN67O+64w+x7Cjdm8eLFAoAIDAwUlZWVZr9ecnKy8Qd6SUmJ2a93PadOnTLu1Sp1K8CMGTMEAPHiiy9a9LoPP/ywACDi4+PNep1x48ZJ0rOwfft20a1bNwFAKBQK8cYbb4hdu3aJkydPipKSEmEwGK75vuLiYjFmzBhj8bd27VqL5jaHqqoq8cgjjxh/7rzzzjuNfv7NtXXrVhEYGCgACFdXV/H5558Lg8EgduzYIaZPn96g50KhUIiJEyeKtWvXNrofscFgEEVFReL48eNi69at4ocffhBvvPGG6Nev31VF3h133CG+/vprm95bXiomL+z+bvXq1Vc9t2HDhpac6obCwsKM/87JyRGxsbEmOfZKlijs+vbta/wfnJtuW15OTo6xBeqVV15p9vu/++474eLiIgCIvn37ipycHDOkbFx1dbUIDg4WAMR7771nkWtWVFSIkJAQSYqYv/vkk08EADFy5EhJcwghxAcffCAAiDvvvNNi1ywtLTX+wt2yZYtZr/X7778LAMLJyUmcPXvWrNcSoq6l/O233za2JHXr1k1s3769WecoLy8XEydONBYjX331lZnSml9paam4/fbbjZ/LZ599ZvJrXLp0Sdx6663G30lBQUENirDu3buLpKQkkZeX16rrHD58WLzxxhsNfv/V/7915513iuXLl5usYLV3Zi/sEhMTr3pu7ty5LTnVdeXk5DQo1oQQQqlUtvrYv7NEYTdlyhTj/9QxMTFmuw5drbKyUkRGRgoA4qabbmr0L88b2bVrl7Er1NfXV/z++++mDXod3377rQAg2rdvL0pLSy123R9++EEAEM7OzkKj0Vjsun9X/0v7rbfekixDvT/++EMAEF27drXYNb/77jsBQAQHB5v9F6HBYBCjRo0SAMTTTz9t1mudPXu2QW/GPffc0+LWnOrqamOrpiX/ADKlgoICY1e/uVsfa2trxdtvvy3kcrnxeg8++KDYtGmTWf4fO3jwoHjttdeMQyrqHykpKSa/lj0ye2GXnZ0tQkJCxJQpU8SUKVNE9+7dxZ49e1pyqutKTU0V0dHRDZ5TqVTXHCTbnGP/zhKFnRB13dWWbHWoqakRc+fOFRMnThRxcXHigQceEI899piYNWuWeOaZZ0RiYqJ49dVXxdtvvy0WLlzY5O5JW/P8888bxyadOXOmVec6e/asiIiIEACEg4ODSE1NNVHKxtXW1oo+ffoIAOLtt982+/WuZDAYRFRUlADQ5BZwU6uoqBDu7u4CgFUMkNdqtcZfSpbqUpowYUKLW5tbYv369cZf9ufPnzfLNX788Ufh4+MjAAh3d3fxxRdftLqgqK2tFc8884zx/rzyyis20yJ05swZY9Hj7e0ttm7dapHr7ty5U3zxxRcWGwNnMBjEgQMHxBNPPCEACKVSKfnwCltg9sJOiLpBrkuWLBFLliwx21/yycnJ1yzWMjIyWnVsRUWFKC4uNj5yc3MtUtj98ssvAsBVLYvm8vrrr99wJtPfH9OmTZN8PJUp1X/NAYgffvjBJOcsKytrMMD7ySefbHErYFN8//33AoDw9PSUZADy/v37jX/VSzE4Xa1WCwCiY8eOVjNDt36Mkrm7RYUQorCw0NhNeezYMbNfT4i6X771LUfPP/+8Sc9dVlZm/KUOQAwePNikn5fBYBBvvfWW8fyzZ8+2mv9vGrNjxw4REBBgHEN78OBBqSOZXU1NjXEcnjl6/OyNRQq7vzt58qSpTmXUWLGWlpbWqmNfe+21axY15i7sNm3aJIC65TPM7bfffhMymUwAEImJieKDDz4QCxcuFG+//bZ49dVXRWJionjmmWfErFmzxLRp08SkSZOMx/fo0UPs3r3b7BnN7dy5c6J9+/bG4suU/v7LIyYm5pp/ddbU1Ihz586JnTt3ivT0dPHee++JuXPnihUrVoiqqqomXae+G3nevHkm/RyaY9asWQKAGDhwoMVnBs+ZM0cAEA8//LBFr3s9t912mwAgPv74Y7Nf6+eff7bYz40r1f9R5ObmJo4ePWqScx45ckT079/f+H3z3HPPmW2G78cff2z8mXbvvfdaZMJRcxkMBvHxxx8LR0dHAUCEhoa2ulfBlvz444/GSRytHc9n70xe2K1evbrByZYuXdrgsWDBAjF+/PiWJ25EamrqNcfNXasVrjnHStVil5mZafyLzJzOnDkjfH19BdC89ag2bdpkbIlwdHQUycnJVv+XbmNqamrEzTffLACIQYMGifLycrNcZ82aNcLNzU0AdcsHzJkzR0ydOlWMHDlSdOnS5bpLAfj7+4s33njjul1d9UtcuLi4iIsXL5rlc2iKS5cuCaVSKQBcNUve3Oq7oS29vMj1JCYmCgBi1qxZZr/Wyy+/LADLr99nMBjEyJEjjf+vtra42717t/Hnkp+fn/j1119NlLRxy5cvN34PTpgwwaLjU2+ktLRUPPTQQ8afB5MnT5Zsxr1UDAaDGD58uMW+l2yZyQu78PDwBrNew8PDRUpKSoNHeHh4yxM3orEJEdfqjmrOsX9nqTF2hw8fNo6faIry8vJmj2+prKw0fqMMHjy42QVNYWGhmDx5svGHTVRUlEVmxplafWuau7u7yVobGrNnz56rZpVd+ZDL5SIwMFAMHz5cxMXFiRkzZohOnToZX3d0dBT333+/2LFjx1Xnrl96wtQtji3x7rvvCqBuMVhLjS07ffq08WtYWFhokWs2xbJlyyw2XrZ+jOPixYvNfq2/y8/PN7awderUSRw5cqRF59m8ebPw9PQUQN2i1+Yat3ctv/76q3B1dRUAxPjx462i5e7EiRNiwIABxv+3FyxYYDNjAU2tvifLwcFBnDhxQuo4Vssikyea8pwp/H0Jkyu7W7OyshosO3G9Y6/HUoVd/S8pJyenGx67YcMG0aVLFwFA3HLLLeKHH35o0jiup59+WgAQXl5eLV6Sw2AwiE8//dTYEuXr62uy8Wl/V1lZKbKzs8WRI0dEXl6eKC0tbfUPuM2bNxvHJFlq2YMLFy6IhIQE8dxzz4lFixaJtLQ0sX37dnH27Nlr3rfKykrx3XffGYvw+kdkZKT4+uuvRUVFhdi2bZvxB54Ui8X+XVVVlejdu7cAIObMmWORa9av3TdixAiLXK+pDhw4YBz3aM5fyDU1NcZlevbt22e261zPpUuXjEVIx44dxeHDh5v1/vXr1xt/lowePVqSVqktW7YYJ+A88MADkvZE/PTTT8LLy8vYcmmvk9aa45ZbbhEAxP333y91FKtlkeVOli5dKoqLi8X48ePFlClTrrm2nSnk5OSIhIQEkZaWJhISEhq0wMXGxork5OQmHXs9lirsCgoKjL/AGyvSLl++3GBg8ZWPoKAg8eabb4rDhw+LnJycqx5ffPGF8dgff/yx1XmPHj0qBg8ebDznzJkzTdqVcfjwYdGrV6+rPk8HBwfh6+srgoODxaBBg8SYMWPExIkTxf333y8ef/xx8eSTT4oXXnhBvPLKK+Kdd94RixYtEh9//LH44osvxHfffWdsPXvwwQdNltWcMjMzxUMPPSScnJyMXwM/Pz9jETVt2jSpIxrVj7tydHQUx48fN/v1/vGPfwgA4s033zT7tZqjqqrKOC7q1KlTZrtOfQHp7u4u6a4nly5dEgMHDjQWd03dTu2HH34w/n996623StoV+ssvvxj/4EtISLD49Wtqaozd6gDE8OHDbbI3xByysrIEULd4/LV2wyALFHb1u0ykpKQY17Sz9LgbU7JUYVdeXm78pr5WV9bBgweNC8LWjznYv3+/SEhIMI5NacrjWusMtlRFRYVxuZD6wb179+5t9XlXr15tXHDV3d1dKJVK48xLUzx69OjRpL0QrcnFixfFW2+9ZZwdV/+DzlIzIZuqfukNcy/QW1lZafx/xBon89S3YplzrbElS5YIAGLcuHFmu0ZTFRQUGIs7Pz+/GxZ3y5YtMxZSkydPNtskiea48o/f999/32LXLSgoMO7DC0D885//tIouYWtSv+2mJRf+tiVmL+zqx9tFREQY168z15ZilmCpws5gMBiLl3PnzjV47fDhw8LPz08AdZMrfvvttwavl5eXi6+//lqMGDFCuLu7N/p46KGHzLL0xvr1642L8zo4OIjnn3++RV+v+rX16n/AjRs3zjgpwGAwCL1eL3Jzc8XBgwfFtm3bxK+//ipWrFghUlNTxcKFC8Wbb74pXnrpJTFnzhwxe/ZsMW3aNHHfffeJSZMmiQkTJohx48aJ6Ohom/6rr6qqSqxatUrceeedVrl455EjR4wD0tevX2+262zYsMFYRFjjJJ4HHnhAAOZdW3DatGkCkH7nj3oFBQXGvVn9/PwaXZZjyZIlxhmp5vqZ1FJvv/228Y8mS+w7nJmZKbp27SqAutmf33zzjdmvaYuOHj1q/EPAEssI2RqzF3ZLliwRarXaOAlAo9GIpUuXtuRUVsFShZ0Qwjhe5spurGPHjhkH0w8aNMiqBolfKT8/X9x1113GoqxTp07i66+/bvIv3YKCAhETE2N8//PPP29VP/Cp6erHcvbp08ds97C+pfihhx4yy/lbq34vXXPu/Vw/I9ia9j8tLCw0DtHo0KHDVcXdv//97wa9DtZWlBsMBjF79mwB1I13NtcOMgaDQaSmpgpnZ2cBQISEhEg2TtJWPPbYY8axmG11MkljzF7Y6XQ6sWDBAnHy5Emh0+lEYmKiWLBgQUtOZRUsWdjVF3D1k01KS0uNkyT69+8vCgoKzJ6htdatWyd69OjRYKzIjXYEyMrKMv7V6ubmZlVLV1DzabVa4/CANWvWmOUa9ftLLl++3Cznb61ff/3VWNyaQ1FRkfF7TMqlbq6lsLBQhIWFGYu7AwcOCIPBIN544w1j5oSEBKv95VxTUyMmTZokgLqJZqZu4f/7UiYTJ06UZHFxW3PmzBljIWyJ5XBsiUUWKE5JSRFTpkwRQtStDG/L6+9YsrCrH0O3efNmIcT//3Lo1KmT1f3wvp6Kigoxf/5840wzmUwmZsyYIS5dunTVsV9++aVwcXERQN3m0gcOHJAgMZnaCy+8IACIu+++2+TnPnPmjACsb5mTK509e1YAdRu1m2OdxN9++00AECqVyuTnNoUri7v27dsbu42Buj19rbWoq1dWViZuuukmAUB07tzZZDPPjx8/blwiRi6Xi/nz51tdq6U1e/bZZwVQt1yXrXzdzLVO6pUsMiu2fjuxeuaaFWsJlizs6gcf//e//xVCCJGQkCAAiEcffdTs1zaHs2fPivvuu8/4A12pVIoPPvhAVFdXi8rKygYzfO+44w7+1WpH6mdsOjo6mrylOTU11dgabK0MBoNxr1NzLPdU3/plzUtAaLVaER4e3mDi0nvvvSd1rCbTarXG7u7Q0NBW/xGxevVq43AbLmXSMvn5+cavoSXGQLZWSUmJ6Nq1q5gzZ464fPmy2a7TnDpFjhaIjIzE9OnToVKpWvL2Ns3d3R0AUFpaCgD4/fffAQDjxo2TLFNrBAQEYNmyZdi8eTMGDRoEnU6HJ598EuHh4Rg7diw++ugjAMDrr7+OH3/8EUqlUtrAZDL9+vXD4MGDUV1djZUrV5r03L/++isAYMKECSY9rynJZDIMGDAAAHDgwAGTn3/Hjh0AgGHDhpn83Kbi7e2NjIwMDB06FA4ODvj000/x9NNPSx2ryby9vfHf//4XAQEBOHLkCCZOnIjy8vJmn6e6uhpz5szB5MmTUVJSglGjRmHPnj02+3NdSh06dMCcOXMAAC+//DKqq6slTnR98+fPx+nTp/HDDz/AwcFB6jh1WlI51o+nu3I3ClvexNeSLXb1kwe+/vprUVxcbJwlaw/7A9bU1IiPP/7Y2IqB/41f+emnn6SORmZSvxvF0KFDTXbOK5c5yczMNNl5zeHJJ58UgOkXbK6trRXe3t428TUQoi6vtXaZN8WBAweMiwbfddddzVoz8Ny5c8YuXfxvUlhT9oGmxun1euM+39a8lNqpU6eMYwK///57s17L7F2xarVahIeHi/Hjx4u5c+eKiIiIBkWerbFkYVc/q/STTz4xbu4dEhJi9utaUkFBgXjyySfFbbfdJv766y+p45AZXbhwwbhEgam2btu4caNVL3NypaVLlwoAJt8r++jRowKo2yOY651ZxqZNm4yLKfv7+4vo6Gjx5JNPik8++URs2rRJXLx48apxgxs3bjQuU+Xp6WnTQ5KszaJFiwQAERAQIMrKyqSOc0333HOPcdkuc48pbU6d0qJ2w6ioKKSlpSE1NRVCCCxZsgSDBw9uUYthW3NlV6ytd8M2xtfXF//5z3+kjkEW0LFjR9x6661Yt24dvvnmG7z11lutPmd9N+wtt9wCubxFo0Uspn///gCA/fv3m/S89d2wERERcHJyMum56drGjBmD7777Dg8++CDOnz+P8+fPQ61WNzjG19cXoaGhCA0NhYuLCz766CMYDAYMGDAA6enp6NGjh0Tp7c+sWbPw7rvvIjc3Fx9//LGxe9ZabNu2DStWrIBMJsOiRYsgk8mkjmTU4jF2e/bswfz58zF//nwWdc1wrcJu7NixEiYiap2HHnoIAPDNN9/AYDC0+ny2ML6uXt++fSGTyXDhwgVcunTJZOe1hfF19mjy5Mm4cOECtm3bhs8++wxz5szBbbfdhuDgYMhkMhQWFmLLli1YunQpPvjgAxgMBjz88MPYvn07izoTc3FxwWuvvQYASEpKgl6vlzjR/zMYDHjmmWcAAI899hgGDRokaZ6rtKRJ8Fp93uyKbZr6qdyPPPKIcWV27hdItqysrMw4Pqm1i71eucyJLazpKIQQ3bt3FwBM+jOwfva8Le/oY29KS0tFdna2WLZsmXj55ZfFAw88IL799lurX9bFllVXVxv3Ew8JCRGpqalWsTXdN998IwAIDw8PceHCBYtc0+xdsTKZDLNmzUJISAhUKhW0Wi3S0tJw8803m6batGOdO3cGACxbtgxCCERGRiIgIEDiVEQt5+rqiilTpmDp0qX4+uuvW9UC/d///hcAMGTIEPj6+poooXn1798fJ06cwP79+03yM/Dy5cvGWbbDhw9v9fnINNzc3DB48GD2UFmQg4MDlixZgrvvvhs5OTmIj4/H66+/jueeew7x8fHw8PCweKbS0lLMnTsXAPDiiy+iY8eOFs9wIy3qip0/fz6EECgoKMCuXbtw4sQJaLVaU2ezS7fffjsAGKdwP/roo1LGITKJ+u7YtLQ0lJWVtfg8ttQNW8/US57s3r0bBoMBQUFBxj8Eidqq0aNH4/Tp01i0aBECAgJw/vx5vPDCC+jSpQteeeUVkw6BaIoFCxbg3Llz6Natm7E71uq0pElQrVY36TlbYcmuWCGEsWnZyclJaLVai1yTyJwMBoMIDg4WAMSyZctadI7KykrjwqS7du0ycULzSU9PFwBERESESc6XlJQkAIi4uDiTnI/IXlRWVorPPvtM9OzZ07i8jKurq3jqqadMtnPI9eTm5gpXV1cBQKSlpZn9elcy+wLFUVFRTXqOri0uLg4AMGnSJHh7e0uchqj1ZDKZsdXu66+/btE5tm3bhpKSEnTo0AHh4eGmjGdW9S12hw4dQm1tbavPt337dgCcOEH0d05OTpg2bRoOHz6M9PR0hIeHo7y8HP/5z38QEhKCRx55BOfOnTPb9efNm4fy8nKMGjUKkydPNtt1Wsu61xKwUy+++CI+/vhj464MRPbgwQcfBABkZGQgLy+v2e//+eefAdjGMidXUqlUcHNzQ3l5OXJyclp1LiGEcUYsx9cRXZtCocDkyZORmZmJ9evX4+abb0ZNTQ2++uorjBw5stXfh9eya9cufPvtt5DJZHj33XetanmTv7Odn552xNXVFbNmzYKPj4/UUYhMJiQkBCNHjoTBYMB3333XrPfu3bsXH3zwAQDgrrvuMkM681EoFOjbty+A1q9nd+rUKeTn58PR0ZGD9IluQCaTISYmBhs2bMCOHTvQo0cPnD59GqNHj8bRo0dNdh0hhHE83cMPP2z1PQqtKuxWr16NNWvWGP9LRG1bfXfsV199BSFEk95z+fJlTJ06FVVVVbjzzjsxadIkc0Y0C1NNoKjvhh08eDBcXFxanYuorRg6dCj+/PNP9O3bF3l5eRg9erTJFg5fuXIltm/fDnd3d7z99tsmOac53bCwKy4uxsaNG696/tNPP8XkyZMxadIk439Z3BG1bXFxcXB2dsbBgwexb9++Jr1n9uzZOH78OAIDA/HFF19YdRdHY0y1AwW7YYlarlOnTti0aRMGDx6MS5cuYezYsdi9e3erzlleXo6EhAQAwNy5c21ipvoNCzsvLy/Mnz8fs2bNavD8tf4aLywsNF0yIrI53t7emDhxIoCmTaL46quv8M0330Aul+O7776zmbXr/s5ULXbccYKoddq3b4+NGzdi2LBhKCoqQlRUFLZu3dri8y1atAi5ubkICgqyum3NGtOkrtjk5GTExsZiypQpxta7iIgIjB8/HpGRkYiIiMAtt9yCyMhIs4YlIutX3x27bNky1NTUNHrcsWPHMHv2bADAG2+8gVGjRlkknznUt9jl5OTg8uXLLTpHeXk59uzZA4CFHVFrKJVKrF+/HmPGjIFer8f48eOv2fN4I3l5eUhKSgJQVwe5urqaOqp5NHUNlfrtclJSUsTMmTMttuabJVh6HTsie1ZVVSU6dOggAIh169Zd85jy8nIxYMAAAUDcfPPNoqamxsIpTc/f318AENu3b2/R+7ds2SIAiI4dO3KbKiITKC0tFePHjxcAhIuLi/jll1+a9f5HHnlEABDDhg2T/HvS5OvYnTp1yjiD84UXXsALL7yAxx9/vEUVMBHZN0dHR9x3330AGu+OnTNnDvbv348OHTrg22+/hUKhsGREs2htd+yV4+tscZwhkbVxc3PD2rVrMXHiRFRUVOAf//gHvv/++2seK4SARqPBsmXL8MQTTyAsLAxffvklAOC9996zqe/JJhV2GRkZyMzMxNKlS7FmzRqoVCqsWrUKOTk5mDVrFvR6vVnCaTQapKSkID09HSkpKdDpdNc9Pjs72+qnIRO1BfXdsT/88MNV37erV6/Gxx9/DKCu8PP397d0PLNo7QQKjq8jMj1nZ2ekp6djypQpqK6uRlxcHJYvX46Kigps3boVCxcuxKRJk+Dv74+QkBA88MAD+Pjjj43DIp5//nkMHTpU4s+imZrSBJienm78t06nE6tXr27wcXx8fIPnTCUsLMz475ycHBEbG9vosWlpaSIrK0s08VNqgF2xRKZlMBhE3759BQCxdOlS4/MnT54UXl5eAoBISEiQMKHpff311wKAGDNmTIveHxAQIACITZs2mTYYEYmamhrx8MMPCwBCJpMJR0dH47Zk9Q9HR0cxdOhQ8eyzz4q0tDRx9uxZqWMbmbQrds+ePQ1awby8vBrMiPXy8sLixYshhMC8efNMVnBqNJoGH6tUKqjV6kaPj42NRVhYmMmuT0Qtd60txqqrq3HvvfeiuLgYw4YNw1tvvSVlRJOr74rdv39/k9fwq3f27FmcO3cOCoUCERER5ohH1KYpFAp8/vnnmDlzJoQQqK6uRseOHXH33XcjJSUFW7ZsgV6vx44dO7Bo0SLExsYiICBA6tgt4nCjAwYPHoy5c+diz549UCqV0Ol0iI+Pv+q4yZMnm3TvNLVafdXODD4+PsjOzmYBR2QD7r//fsydOxebN2+GRqNBamoqduzYAaVSieXLl8PR0VHqiCbVu3dvKBQKFBUVIS8vr1m/FOq7YQcMGAB3d3dzRSRq0+RyOT7++GM8+OCD6NSpE4KDg21q7FxT3bCwA4D58+ejuLgYGo3GYtvcNDaeTqvVtvrclZWVqKysNH5srjGCRG1ZQEAAoqOjkZGRgZkzZyIjIwMA8Nlnn6Fbt27ShjMDZ2dn9O7dG4cOHcL+/ftbVNhxfB2ReclkMowYMULqGGbV5C3FvLy8rGLvwhtNoGiKpKQkeHl5GR9BQUGtD0ZEV6nvjq0v6mbPnm2TW4Y1VUsnUNRvJcbCjohaq0ktdqa0ZMkS5OTkNPp6TEwMoqOjoVQqr2qd02q1UCqVrc4wb948PPfcc8aP9Xo9izsiM7j77rvh7u6O0tJSDBw4EP/+97+ljmRWAwYMwIoVK5q15ElVVRWysrIAcCsxImo9ixd2M2bMaNJx0dHRSE1Nvep5UwwsdnZ2hrOzc6vPQ0TX5+7ujldffRUrVqzA8uXL7X5j+ysnUDTVvn37UFlZCR8fH3Tv3t1c0YiojWhyV6ylqVSqBh9rNBpEREQYW+yys7OvmjlbzxTdtURkGgkJCcjOzkavXr2kjmJ29V2xR48eRVVVVZPec+X4OnscyE1ElmW1hR0ApKWlITExEenp6UhNTUVaWprxtaSkJKSnpxs/VqvVSExMvOZrRESWEBQUBC8vL1RXV+PYsWNNeg/H1xGRKclEcxdcskN6vR5eXl4oLi6Gp6en1HGIyIaNHj0amzdvxrfffov777//hserVCqcPHkSGRkZiI6OtkBCIrI1zalTrLrFjojI1tR3xzZlAsXFixdx8uRJyGQyREZGmjsaEbUBLOyIiEyofgLF8uXLsXjxYhQWFjZ6bP34uj59+sDLy8si+YjIvrGwIyIyobFjx8LFxQVnzpzBrFmz4O/vj3/84x9IS0tDeXl5g2O5MDERmRoLOyIiE+rVqxdycnKwcOFCDBo0CNXV1Vi7di2mTJmCTp06Ydq0adi4cSNqa2uNhR3XryMiU+HkCXDyBBGZz6FDh7Bs2TIsW7YMZ86cMT7fuXNnFBYWorKyEgcPHkTfvn0lTElE1qw5dQoLO7CwIyLzMxgM2Lp1K7799lusWrXKuN6mp6cnioqKIJezA4WIro2FXTOxsCMiS6qsrMSvv/6KtWvXIiYmBvfee6/UkYjIirGwayYWdkRERGStuI4dERERURvkIHUAa1DfaKnX6yVOQkRERNRQfX3SlE5WFnYASkpKANTt80hERERkjUpKSm64mDnH2KFutlpeXh48PDwgk8nMcg29Xo+goCDk5uZyHJ+V4D2xLrwf1of3xPrwnlgfS9wTIQRKSkrQuXPnG86gZ4sdALlcjsDAQItcy9PTk9+MVob3xLrwflgf3hPrw3tifcx9T5q67SAnTxARERHZCRZ2RERERHaChZ2FODs747XXXoOzs7PUUeh/eE+sC++H9eE9sT68J9bH2u4JJ08QERER2Qm22BERERHZCRZ2RERERHaCy52YkEajQXp6OlQqFTQaDWbMmAGlUtnqY6nlmvt1zs7OxvTp05GVlWW5kG1Mc+5JdnY21Go1ACAzMxNLly7l94mJNed+1N8LnU6HzMxMTJ06FWFhYRZM2za09PdDYmIi5s2bx+8RM2juzy0ACAsLg0ajgU6ns+z3iSCTCQsLM/47JydHxMbGmuRYarnmfJ3T0tJEVlaW4LeFeTXnniQnJzf495XvJdNozv1QKpUiKytLCCFEamqqUKlUZs/XFrXk90P9z66ioiIzJmu7mnNPZsyYIQAIACI6Otri94RdsSai0WgafKxSqYx/3bbmWGq55n6dY2Nj2fpgZs25J9nZ2UhKSjJ+HBsbi+zs7KvOQS3X3O+RtLS0Bt8jbBkyvZb+ftBoNFCpVOaK1aY1956Eh4ejqKgIRUVFyMjIsPj3CQs7E1Gr1fDx8WnwnI+Pj7FJtqXHUsvx62x9mnNPwsLCsHTpUuPHOp3OeDyZRnO/R6Kjo43/TktLQ3x8vFnztUUt+bmVnp6O2NhYc0drs1pyT5RKpWR/+HCMnYnU/9L5O61W26pjqeX4dbY+zb0nV/6yWrlyJaKjo9lKZEIt+R7Jzs7GypUrERMTgxkzZpgpWdvV3Hui0+n4PWFmLbkn6enpAOrGBsfHx1u0NZWFnZk19j9Ea4+lluPX2frc6J7U/6DkpBbLuN79CAsLg0qlQmJiIluKLKixe7Jq1SoW2BJp7J5cObFCpVIhJiYGOTk5FsvFrlgTUSqVV1XvWq32mn9JNedYajl+na1PS+9JYmKiJGNV7F1L74dSqURcXBzi4uL4h5KJNeeeqNVqTJkyxULJ2q7mfp9cOSavfhatJccGs7AzkSvHnlwpIiKiVcdSy/HrbH1ack9SUlKQmJgIlUoFnU7HQsKEmnM/1Go1vL29jR/Xdy1xMotpNfd7ZNWqVViyZAmWLFkCjUaDpKQkjiM2sebck+zsbERFRV31vCXHBrMr1kT+3n+u0WgQERFhrOizs7OhVCqhUqlueCyZRnPuyd9x3Ip5NPeepKenG7v+dDodu51MrDn3w8fHp8EvuPrXOJPctJpzT/5ecMTHx1t8PFdb0Nzf78nJycZj1Wo1YmNjLfr7hHvFmpBGo0FqaioiIyORmZnZYKHIuLg4REZGIiEh4YbHkuk0556o1WpkZGQgJSUFCQkJiIyM5PghM2jqPdFoNAgJCWnwXqVSiaKiIglS26/mfI+kp6cbu6QyMjKQnJzMIsIMmnNPgLo/RJcsWYLExETMmDED8fHxLLhNrDn3pH5hdaVSiZycnAaFniWwsCMiIiKyExxjR0RERGQnWNgRERER2QkWdkRERER2goUdERERkZ1gYUdERERkJ1jYEREREdkJFnZEREREdoKFHRGRCcXHx1+1sDIRkaVwSzEiIhOKi4u7asNwIiJLYYsdEZEJZWRkICYmRuoYRNRGsbAjIjIhtVqNiIgIqWMQURvFvWKJiExIJpNBCAGNRoPs7GxoNJoGG7YTEZkTW+yIiEwkOzsbYWFh0Ol0xn+vXLlS6lhE1IZw8gQRkYmo1WoAwO7duxEbGwsAyMrKkjISEbUxbLEjIjKRjIwMzJs3DxqNBvHx8VLHIaI2iGPsiIhMxNvbG0VFRQCAkJAQ5OTkID093dh6R0RkbmyxIyIyAY1Gg+joaOPHsbGxSE9PR1hYmISpiKitYYsdERERkZ1gix0RERGRnWBhR0RERGQnWNgRERER2QkWdkRERER2goUdERERkZ1gYUdERERkJ1jYEREREdkJFnZEREREdoKFHREREZGdYGFHREREZCdY2BERERHZCRZ2RERERHbi/wBg/meJz2s3JgAAAABJRU5ErkJggg==", + "image/png": 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", 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" ] @@ -637,7 +628,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -669,6 +660,14 @@ "plt.tight_layout()\n", "plt.show()" ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7751394d-f077-4aad-95f6-a6c296f2d3b6", + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { diff --git a/pyproject.toml b/pyproject.toml index e011026..c06524c 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "jaxeffort" -version = "0.2.3" +version = "0.2.4" description = "JAX-based emulator for galaxy power spectra with bias modeling" authors = ["marcobonici "] readme = "README.md" From 0942ff5bdb60604f9a0b5ca573bde0379ef8c204 Mon Sep 17 00:00:00 2001 From: marcobonici Date: Mon, 17 Nov 2025 19:05:44 -0500 Subject: [PATCH 2/5] Udated velocileptors lpt emulator --- jaxeffort/__init__.py | 4 +-- notebooks/jaxeffort_velocileptors_lpt.ipynb | 30 ++++++++++----------- 2 files changed, 17 insertions(+), 17 deletions(-) diff --git a/jaxeffort/__init__.py b/jaxeffort/__init__.py index 04d5e91..6992632 100644 --- a/jaxeffort/__init__.py +++ b/jaxeffort/__init__.py @@ -71,10 +71,10 @@ "checksum": "d309b571f5693718c8612d387820a409479fe50688d4c46c87ba8662c6acc09b", # SHA256 checksum }, "velocileptors_lpt_mnuw0wacdm": { - "zenodo_url": "https://zenodo.org/records/17571778/files/trained_effort_velocileptors_lpt_mnuw0wacdm.tar.xz?download=1", + "zenodo_url": "https://zenodo.org/records/17635885/files/trained_effort_velocileptors_lpt_mnuw0wacdm.tar.xz?download=1", "description": "Velocileptors LPT emulator for massive neutrinos, w0wa CDM cosmology", "has_noise": False, # Set to True if the emulator includes noise (st/) component - "checksum": "e40dac03eb98d17a8a913b7e784a4237906fd575844655d885ec64312b3b98bc", # SHA256 checksum + "checksum": "4f942141ecdfe8a71b03f514a47103fe9a5ae3e3c3b46963c7627b4e196ca579", # SHA256 checksum }, "velocileptors_rept_mnuw0wacdm": { "zenodo_url": "https://zenodo.org/records/17635853/files/trained_effort_velocileptors_rept_mnuw0wacdm.tar.xz?download=1", diff --git a/notebooks/jaxeffort_velocileptors_lpt.ipynb b/notebooks/jaxeffort_velocileptors_lpt.ipynb index 1a96272..06ea9bc 100644 --- a/notebooks/jaxeffort_velocileptors_lpt.ipynb +++ b/notebooks/jaxeffort_velocileptors_lpt.ipynb @@ -89,7 +89,7 @@ "text/plain": [ "{'author': 'Marco Bonici',\n", " 'author_email': 'bonici.marco@gmail.com',\n", - " 'miscellanea': 'The emulator has been trained using CLASS and velocileptors lpt. The training dataset has been created by passing P_cb to velocileptors, assuming there is only one massive neutrino.',\n", + " 'miscellanea': 'The emulator has been trained using CLASS and velocileptors. The training dataset has been created by passing P_cb to velocileptors, assuming there is only one massive neutrino.',\n", " 'parameters': 'z, ln10^10 As, ns, H0, omega_b, omega_c, Mnu, w0, wa.'}" ] }, @@ -119,15 +119,15 @@ { "data": { "text/plain": [ - "Array([[ 2.85004037e-01, 1.89999596e+00],\n", + "Array([[ 2.85012112e-01, 1.89998789e+00],\n", " [ 2.00000375e+00, 3.49999625e+00],\n", - " [ 8.00000750e-01, 1.09999925e+00],\n", + " [ 8.00000750e-01, 1.09999775e+00],\n", " [ 5.00001000e+01, 8.99999000e+01],\n", " [ 2.00000125e-02, 2.49999875e-02],\n", - " [ 8.00007500e-02, 1.79998750e-01],\n", + " [ 8.00002500e-02, 1.79999750e-01],\n", " [ 1.25000000e-06, 4.99998750e-01],\n", " [-2.99999125e+00, 4.99991250e-01],\n", - " [-2.99998750e+00, 1.99973750e+00]], dtype=float64)" + " [-2.99998750e+00, 1.99991250e+00]], dtype=float64)" ] }, "execution_count": 4, @@ -228,7 +228,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "408 μs ± 13.3 μs per loop (mean ± std. dev. of 7 runs, 1,000 loops each)\n" + "360 μs ± 7.7 μs per loop (mean ± std. dev. of 7 runs, 1,000 loops each)\n" ] } ], @@ -246,7 +246,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "522 μs ± 98.3 μs per loop (mean ± std. dev. of 7 runs, 1 loop each)\n" + "502 μs ± 60.4 μs per loop (mean ± std. dev. of 7 runs, 1 loop each)\n" ] } ], @@ -264,7 +264,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "54.1 μs ± 3.21 μs per loop (mean ± std. dev. of 7 runs, 10,000 loops each)\n" + "42.5 μs ± 832 ns per loop (mean ± std. dev. of 7 runs, 10,000 loops each)\n" ] } ], @@ -322,7 +322,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "1.07 ms ± 36.9 μs per loop (mean ± std. dev. of 7 runs, 1,000 loops each)\n" + "994 μs ± 25.9 μs per loop (mean ± std. dev. of 7 runs, 1,000 loops each)\n" ] } ], @@ -357,7 +357,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 13, @@ -366,7 +366,7 @@ }, { "data": { - "image/png": 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", + "image/png": 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xgPM3+3D6hhmnr4vSNTAy4fPz0hKwLi/VVQozk7miMdEcYuAhr7m37nzqzjxkqeMD8r5RKiV+8Fdr8cEfvo1jV0z4vv48nr6fG4ySPEasdrR0iWBz/mY/Ltzsw7mbfbjcNQibXbrl+UoFsDgzCcuzUrAiW43l2SlYnpWC1FmuWUVEvmHgIa+9cqoNJ671IjFGhb+5pyCg752rTcD/fWQV/vY3BvzkQDM2FKRj/eL0gNbB3dCIDXHRSs6KCXODI1acvm7GiWu9OHG1Fyev98LYMQDrBMEGEBttFs1LxrKsZCzPUmNFdgqWzE/mGjhEQYCBh7xis0v47qvnAQCf25iPtKTAr/Hx0KosvHNRrML8lX3H8ee/3xTwehy82Il/f+kMTl03IyZKifTEGKQlxSItKQZpibFIT4px3V+UnoDihakMRSFiaMSG0zfMOHmtF+9f7cXJa7240N6HibJNUmwUFmcmoWheEormJbvKvJRY/nsTBSkGHvLK79+7hgvt/UiJi8KTm3Sy1ePrH1qBxpYeXGzvx9P17+Nnny4JyAfM+Zt9qHnpDN441+E6NmK143rvMK6PWx/F3b1LMvCtj670+zpFNHvDozYYLvfgUHMX3jV24b1W04QtNxnJsVi1QI3bctS4bYEaS7NSkK2OY7AhCjEMPDStUZsd/9FwAQDwhXsKoI6XbwHA+BgV/vMTa/Hh/zyI18+24xcHW/C5jflz9n7tfcP4j4YL2Nd4BXYJiFIq8Mk781B1tw42u4Su/hF0DVjQ2T8i7vdb0DUwgs5+Cw4bu/HGuQ7c9x9v4av3LcFn1i/ioFQZjVjteO+qCYcuduFdYycMl00YsXlux5CeFItVOWqsXKB2hZx5KXEy1ZiI/ImBh6a1/2grrnQPIj0pFp+Zo0UGfbF0fgr+5aFl+JcXT+H//vksbs/XYuUCtV/fY3DEip++fQm73mzGoGN9lAdWzEf1g0uRn57oet5ULTcX2/uw44UTaGzpwbf+eBovHr+Gmkduw4ps/9aVJiZJEs629eHtCx14+0Injrb0YGjUc62beSmxWF+QjrsK0nCXLg05qfFsuSEKUwpJkiYefRdhzGYz1Go1ent7kZIyt2vLhJLhURvuefYA2szD+NeHl+MzG+auNcUXkiSh6rkmvHr6JnTpifjDlzYi0Q9rltjsEp43XMV3Xz2Hm2YLAGB1rgb//NAylC7S+vx6druE/21sRc2fz6Bv2AqVUoEnN+XjK1uKuIjcHOjos+Cdix14+3wn3r7YiY4+i8f5tMQY3FmQhvWOgJOfnsiAQxTivP38ZuBxYOCZ2E/fNuLf/nQGCzTxeP1rdyM2Kng+pE2DI3jwB2/jRu8wytfl4DsVq2f8WpIk4a0Lnah56QzOtvUBAHJS41H9wFJ8aFXWrD8U283DeOYPp/GnEzcAAAu1Cfj2x1ZiUyE3RZ2N3qFRvH/VhHcudOKtC504c8PscT4+WoU7dVpsKszAhsXpKJrH/aaIwg0Dj48YeG7Vb7Fi88430D0wgtpHb8PjpQvlrtItDhu78PG9f4FdAn7wV2vwkTULfH6Nk9d68X//fBbvXOwEAKTEReFLHyjEE+vz/B7w9Kdv4l9ePOnaCPKRtQvwTw8tk2XWm6/6LVaca+vDle4BRCmViI1SIjZaJW6jlIiNUiE2WtyPj1ZBHR+NKD8tEClJEq72DI0t6Oe4Hb/fFACsXJDi2jV8XV5qUIV0IvI/Bh4fMfDc6kevXcB3G84jPz0RDf9ns98+vPztPxrO4wevXUBMlBJbl83DAyvn496lmdMuy3+1ZxDfffU8fnfsGgCxOeMTd+Xhb+9dPKeLwvVbrPjOK+fw3++2QJIAdXw0djy4FI+V5EIZBIOa3cPFmRtmnL3RhzNtE2+HMBWFAtAmjE3TT0uKQXqSc+p+LDTx0bBJEkasdlFs4tbi9rh/2IpzN/tw5oYZfcPWCd8nJzUed+rSsKkwHRsXp4dEeCQi/2Hg8REDjyfT4Ag21b6BPosVP/z4Wnw4iDfttNrsePJ/juKA25TxmCglNhem44GVWdi6bB7UCWMzy3oHR/HjAxfxy4Mtrlk6H1mTja/dtySg+3QdbzXhH184gdOObph1ean49sdWzvn+ZBNp7R7E79+7jgPn2nHmRh/6LROHi8zkWBRkJEGCBIvVDsuoHRarTdy32mEZHbvvbzEqJQrniRWLl2WlYHl2CpbNT/H4tyWiyMPA4yMGHk+1L5/Ffx1oxtL5yXjpy5uCouVhKpIk4f2rvXj5VBtePtmGS50DrnNRSgXuKkjDAyvnY8BixY/faEbv0CgA4C5dGv7xg8twW448M6esNjt+eagF32s4j8ERG6KUCnx+Uz7+fkshEmLmdhJlz8AI/njiBl48dg1HL/d4nItRKbE4MwnLslKwLCsZy7JSsHR+stetJ1abHT2Do2LKfp/71H0LOvst6OofgWloFFFKBWIcXWLRKiViopSIcd46usac9SjISEJMVHC2MhKRfBh4fMTAM6a9bxh37zyAoVEbfvpECcqWz5O7Sj6RJAnnbvbh5ZMi/DgHIbtbMi8Z//DBpbinKCMoBrFeNw3hm384jZdPtQEAFmji8cyHV/j92g+N2KA/cxMvHr+GA+c6XAvtKRQi/D28OhvFC1Ohy0jkBq1EFBIYeHzEwDPmX39/Cr881II1uRr87m/WB0UgmI1LnQMi/Jxqw/CIDZ/flI9Hi3OCchHA187cxNdfPOUajHv/inn4xsMrkK2Z+Uat7X3DOHKpG6+fbccrJ9swMDK2Fs2K7BR8dM0CPLw6G/PVXGCPiEIPA4+PGHiEP71/A1/+32Ow2SX85sk7ZN2gM1INjljxg9cu4GdvX4LVLiFGpXR1Kzl32l6alTLpoOzrpiEcvtSFI5e6cdjYDaNb9x4gBvl+ZE02PrpmAQrnJQfiWyIimjMMPD5i4BG7of/trw2w2iU8XpKL2vJVclcpop1tM+Off3fylvE1TnlpCa4BvGlJMTBcNuHwpS5c7fGcqq1QiNWp79Rp8dBtWViXxw1NiSh8MPD4KNIDz+tnb6LquSaM2iR8bO0CfKdidVB2+UQaSZLQ0jWIM27rz5y5YXat4zMRlVKBldkpuD1fizvy01C6SMuZTEQUtrz9/OZeWoS3znfgC88ZMGqT8NCqLDxbvophJ0goFArkpyciPz0RH7wty3W8e2DEFYLO3DCjvc+CVTlq3KFLw7q81GnXICIiijT8rRjhDl3sxLb/OYoRmx33r5iH7z++JmgXGKQx2sQYbFicjg0cY0VE5BV+skWwI5e68fn/PgqL1Y4tSzPxo48XcyoyERGFpaBs4TEajdDr9dBqtTAajSgvL4dOp3Odq6+vh06ng9FoRGVlJTQazbTnyFPT5R589hdHMDRqw91FGfjJJ4u5qBsREYWtoAw89fX12L59u+txVVUVdu/eDQCoqKhAU1MTABFwtm3bhrq6umnP0Zj3Wk34zM+PYGDEhg2L07D7U+u4wSIREYW1oPyTft++fRMeNxqNHo91Oh30ev2052jMyWu9+NTPDqPPYsUd+Vr89IlSxEUz7BARUXgLysCj1Wqxbt06V9fW1q1bAcDVzTX+uQaDYcpzJLR2D+KJnx+BediKkrxU/PwzpYiPYdghIqLwF5SBx9kNVVBQgLq6OpSXlwMATCbThM/v7u6e8txELBYLzGazRwlnQyM2VD7XhO6BEaxckIJffLYUiZy6TEREESIoP/H0ej1qa2thNBpRVVUFAK4xPBOZLOxMda6mpgbPPPPMbKoZMiRJwvbn38eZG2akJ8Vgz6dKkBzHheiIiChyBF0Lj9FoRGNjI8rKylBZWYnm5mbs378fRqMRGo3mlhab7u5uaDSaKc9NZMeOHejt7XWV1tbWufqWZLfnLSP+8N51RCkV+Mlfr5vVRpREREShKOgCj8FgQGlpqeuxTqfDjh07YDKZUFZWNuHXlJSUTHluIrGxsUhJSfEo4ejN8x2offksAOAbDy/H7fnaab6CiIgo/ARd4CkuLkZjY6PHsa6uLhQXF7vW4nEyGo0oKSmBRqOZ8lykaukcwJd+Y4BdAh4vycUn78yTu0pERESyCLoxPDqdDlu3bsXOnTtdYcU5jgcQA5qrq6tRWlqKxsZGj3V2pjoXaQYsVlQ+dxTmYSvWLtTgmx9dwR2yiYgoYnG3dIdw2i1dkiT8za8N+PPJNmQkx+KPX9qIeSlxcleLiIjI77z9/A66Li2avZ8caMafT7YhWqXArk+uY9ghIqKIx8ATZl4/exPfefUcAOBbH1mJdXmpMteIiIhIfgw8YaS5ox9//9vjkCTgk3cuxF/dvlDuKhEREQUFBp4wYbXZ8cVfNaHPYkXpolR8/UMr5K4SERFR0GDgCRPvXe3F+Zv9SI6Lwk/+eh1iovhPS0RE5MRPxTBx8GInAGBTYToykmNlrg0REVFwYeAJE+84As+Gxeky14SIiCj4MPCEgQGLFceu9AAANjLwEBER3YKBJwwcaenGqE1CTmo8FmoT5K4OERFR0GHgCQMHL4jurI2L07l9BBER0QQYeMIAx+8QERFNjYEnxHX0WXC2rQ8AsL4gTebaEBERBScGnhB3qFm07izPSkFaEqejExERTYSBJ8Q519/ZWMjuLCIioskw8IQwSZLwzgWO3yEiIpoOA08Ia+kaxPXeYcSolChdxF3RiYiIJsPAE8Kcs7OK8zRIiImSuTZERETBi4EnhB26OLb+DhEREU2OgSdE2ewSDjV3AeD4HSIioukw8ISoU9d70Ts0iuS4KNy2QC13dYiIiIIaA0+Ico7fuUuXhigV/xmJiIimwk/KEHX6uhkAsC6Ps7OIiIimw8ATolq7BwEAeWmJMteEiIgo+DHwhKgrjsCzUJsgc02IiIiCHwNPCDIPj6JncBQAkKuNl7k2REREwY+BJwQ5u7O0iTFIjouWuTZERETBj4EnBLV2DwEActmdRURE5BUGnhDUyvE7REREPmHgCUHOAcu5qRy/Q0RE5A0GnhDEGVpERES+YeAJQezSIiIi8g0DT4ix2SVc7eGgZSIiIl8w8ISYm+ZhjNjsiFIqkKWOk7s6REREIYGBJ8Q4x+8sSI3npqFERERe4idmiOH4HSIiIt8x8IQYZ+Dh+B0iIiLvMfCEmLE1eBh4iIiIvMXAE2K4Bg8REZHvGHhCzBXHPloMPERERN5j4AkhgyNWdPZbADDwEBER+YKBJ4Q4d0lPiYuCOiFa5toQERGFDgaeEOKakp7G1h0iIiJfMPCEEA5YJiIimhkGnhDCKelEREQzw8ATQrjoIBER0cww8IQQdmkRERHNDANPiJAkiYGHiIhohhh4QkRHnwUWqx1KBZCtiZe7OkRERCGFgSdEOFt3stTxiIniPxsREZEv+MkZIlp72J1FREQ0Uww8IeJKF/fQIiIimqkouStA3nGtwaPl+B0iolBkt9sxMjIidzVCTnR0NFQq1axfh4EnRHANHiKi0DUyMoJLly7BbrfLXZWQpNFoMH/+fCgUihm/RtAGHr1eD6PRCJ1OBwAoKysDABiNRtTX10On08FoNKKyshIajWbac6GOU9KJiEKTJEm4ceMGVCoVcnNzoVRyNIm3JEnC4OAg2tvbAQBZWVkzfq2gDDx6vR51dXXYvXs3jEYjtm7diubmZgBARUUFmpqaAIiAs23bNtTV1U17LpQNj9rQZh4GwMBDRBRqrFYrBgcHkZ2djYQE/g73VXy8GMrR3t6OzMzMGXdvBWXgqaqqcgUXnU6HhoYGACLEuNPpdNDr9dOeC3VXe8SA5cQYFbSJMTLXhoiIfGGz2QAAMTH8/T1TzqA4Ojo648ATdO1qRqMR3d3d0Gg0MBgMMJlMrm4tvV4PrVbr8XytVguDwTDluVDnnJKeq02YVf8lERHJh7+/Z84f1y7oAo/BYIBWq3WNxdmzZw/q6+sBACaTacKv6e7unvLcRCwWC8xms0cJVq0cv0NERDQrQdel1d3dDaPRiLKyMmg0GlRWViI1NRWSJE36NZOFnanO1dTU4JlnnpllbQPjShdnaBERkTzcJxE5JxD5Q6AnGgVdC49Op4NGo3F9085bg8EAjUZzS4uNs/trqnMT2bFjB3p7e12ltbXV39+K33CGFhERycFkMqGurg6VlZVTNi7MREVFBbZv347y8nKUl5dj27Ztfn398YIy8ExmsmRZUlIy5bmJxMbGIiUlxaMEKwYeIiKSQ01NDSoqKjyWifEHOSYaBV2Xlk6nQ0lJCUwmEzQajesiFxcX3/Jco9GIkpISjxahic6FMkmSuOggEVEYkSQJQ6M2Wd47Plrl0wDg+vp61NbWYs+ePaisrPRbPaaaaDTR570/BF3gAYC6ujpUV1dj3bp1aGpqck1Ldz9XWlqKxsZGj3V2pjoXqroHRjAwIv5j5KRyWwkiolA3NGrD8q+/Ist7n/7m/UiI8e6jX6/Xo7i4GAaDYdLekpnydaKRPwRl4NFoNNi9e/eE53Q6HWprawEA5eXlXp8LVc7urPkpcYiLnv1eIkRERN4wGAwoLS2F0Wic8DPVZDKhpqZmytdIS0vD9u3bvX5Pf48TcheUgYfGtPZwl3QionASH63C6W/eL9t7e6u5uRkajWbSwKLRaFyNDL7ydaKRP/gceFpaWlBXV4eGhgb09PS4jmu1WmzduhXl5eVYtGiRP+sY0Th+h4govCgUCq+7leSk1+tdux5MZDYtPGVlZRP25Pi768ydT1f8H/7hH6BQKPDYY4/h6aefvuX8sWPHsGvXLigUimkvAnlnbA0ejt8hIqLA0Ov1Ht1YEw0mnk0Lz/gZX4GYaOR14Hn22WexY8cOqNXqSZ+zdu1arF27Fr29vdixYwdDjx+094lNQ+enxMlcEyIiihRlZWWu3Q50Op1fp6Q7BXqikUKaagnjCGI2m6FWq9Hb2xtUa/I8/KN3cOJaL376RAnKls+TuzpEROSj4eFhXLp0Cfn5+YiL4x+vMzHVNfT28zvoFh4kT139FgBAenKszDUhIiIKXTMOPM8++yxKS0tdj59//nm0tLT4o07kIEkSOgdGAABpiTEy14aIiCh0zTjw6HQ67N+/3/X40UcfhcFg8EulSOi3WDFitQMA0pIYeIiIiGZqxoGnuLgYx44dAwB84QtfQGFhIRobG/1WMQK6+kXrTkKMKiSmMBIREQUrrz9FCwsLUVxcjK1bt6KkpARr1qxBWloaXn/9daxbtw67du2ay3pGpK4BMX6HrTtERESz43ULz5YtW1BZWYmLFy/iySefhEqlwpYtW1BdXY20tLS5rGPE6ux3jt/hgGUiIqLZ8LqFx9mCs2XLFtexY8eOQa/XY9euXXjyySexdetW7Nu3z/+1jFDOLq10tvAQERHNyqwGhjgXGnSuunzp0iW/VIoE55R0tvAQERHNjleBp7e3Fz09PdPukZWfn++6bzabASCoFvELNV3OKels4SEiIpno9XoYjUbodDqUlZX57XUNBgP0ej0AoLGxEXv37p3TrSW8GsOjVqvR0NCAF154wasXff7557F//36GnVnqdLbwJLGFh4iIAs9kMqGurg6VlZUwmUx+fW29Xo/t27dj+/btKC0t9RgyMxe87tLatm0bjh07hsceewwFBQUoLS2FTqeDRqOByWSC0WjEkSNHcOnSJVRVVeHRRx+dy3pHBI7hISIiOdXU1KCiosLVwuMvBoMBNTU1rp3Uy8vLUV1d7ff3cefTGJ61a9di//796O3txf79+3HkyBGYTCZoNBoUFBSgqqrKo1uLZsc1LZ1jeIiIwockAaOD8rx3dAKgUHj99Pr6etTW1mLPnj2orKz0WzWKi4uxd+9e12Nn65FWq/Xbe4w3o0HLarUa27Zt83ddaBxnCw/H8BARhZHRQeDfs+V573+8DsQkevVUvV6P4uJiGAwGlJSU+L0q5eXlrvv79u1DWVnZnI7h4fK9Qcpml9A9yMBDRETyMBgMKC0thdFo9AgnTiaTCTU1NVO+RlpamqvbajImkwn19fVoamqaVX2nM+vA09LSAq1WywHKftYzOAJJEi2P2gQGHiKisBGdIFpa5HpvLzU3N0Oj0UwaWDQaDWpra2ddperqajQ0NMxp6w7gh8Cj1+tRUlICo9GI4uJi19T1F154AY888shsXz5iObuzUhNiEKWa8ZZnREQUbBQKr7uV5KTX66dsdfFHC8/OnTtRXV0NnU7nGsczV8Fn1oEnPz8fu3btwn333QeDwQCTyYQ1a9ZArVb7o34RyzUlPZGtO0REFFh6vd6jG8tgMKC4uNjjObNt4amvr0dxcbEr7Ozfv9+vA6PH8ynwHD9+HEaj0aPlZsuWLdiyZQv27t2Luro6dHd3o6CgAI8//rjfKxtJxtbgYeAhIqLAKisrg06nw549e6DT6fw+VdxoNKKiosLjmEajCY7As3fvXlRVVQEAUlNTYTAYkJeX5zq/bds218ytY8eOYe3atX6uamQZm6HFKelERBR4Op1u2gHHs3ltSZLm5LUn4/XgkIaGBtjtdtjtduzbt2/KFMawM3vONXjS2aVFREQ0a1638JSWlrrul5WVQaFQ4Pjx41izZs1c1CvisYWHiIjIf7xu4UlNTfV4vGXLFhiNRr9XiIROLjpIRETkN14HnrleEIg8cVsJIiIi//E68OzevRsqlQqFhYX44he/iBdeeOGWFp7jx4/7u34RixuHEhER+Y/Xgae2thbd3d3YtWsX1Go1/v3f/x3bt29HWloa7r//fnznO9+ZdgEi8l6Xa1o6W3iIiIhmy+tBy08//TSAsXV3nF577TUYDAa8+uqreO211/xfwwg0NGLDwIgNAMfwEBER+cOsV1p2BqCnn34azz77rD/qFPGc43diVEokx3J/VyIiotny6yZNE+2mSr7rcpuhpVAoZK4NERFR6Jtx4Hn22Wc91uZ5/vnn+eHsJ64ZWuzOIiIimen1euzZswd6vX7O3qO6utq1eehcmXHg0el02L9/v+vxo48+CoPB4JdKRTrXGjyckk5ERDIymUyoq6tDZWXlnAUSg8GAnTt3zslru5vxAJHi4mIcO3YM+fn5+MIXvoDXXnsN5eXlHhuL0syMTUkP0cBjswIXG4D3fgvYbcAdVcCiTQBbAImIIEkShqxDsrx3fFS8T70xNTU1qKiogNFo9PsGok5z+druvA48hYWFKC4uxtatW1FSUoI1a9YgLS0Nr7/+OtatW4ddu3bNZT0jinNKesitwdN5ETj2nAg6/TfHjp/9I7BwPXD3dkB3D4MPEUW0IesQ7vjNHbK89+FPHEZCdILXz6+vr0dtbS327NkzJzuZ19fXo7y8HNXV1X5/7fG8DjxbtmxBRUUFGhoasGvXLhw7dgzFxcUAgB07dsxZBSNR10AIbSsxMgCcfhEwPAdcOTR2PCEdWP1XgHUYMPyPOPfcR4Gc24G7q4HFWxh8iIiCmF6vR3FxMQwGA0pKSvz++iaTCRqNxu+vOxmvA4+zBcd9DZ5jx45Br9dj165dePLJJ7F161bs27fP/7WMMJ39IbCtRNsJoPGnwInngZE+cUyhBBZvBYo/BRTeD0Q5AtumrwIHfwA0/RK4egT49aNAdrEIPkX3M/gQUUSJj4rH4U8clu29vWUwGFBaWgqj0TjhLGyTyTTtgsNpaWnYvn37hOf2798/J61Gk5nVIi9r167F2rVrXYsSXrp0yS+VinRBvXHocC/w2rdE2IEkjqXmA2s/Caz5BJCSfevXpGQDD9YCG/8PcOhHQOPPgOsG4LePA1mrgQ/8C1C4NaDfBhGRXBQKhU/dSnJpbm6GRqOZNLBoNBrU1tbO6LX1ej0ee+yx2VTPZ35d1S4/P9+fLxexxsbwBFELjyQBJ58HXvnHsfE5yz8ClG4D8jYASi8m/CXPB+7/NrDhK8C7PwKO/BS48R7w63Lgo/8lAhMREQUFvV4/5cbh/mjhcTIajaipqcHjjz/uGi7jb1zGN8jY7RK6g20MT1cz8KevAsY3xOO0xcBD3wN0d8/s9ZIygK3fBNb/PaD/hhjo/OLfiXE/Rff5r95ERDQjer3eoxvLYDDcEkRm08JTVlbm8biqqgpVVVVzOlvLryst0+yZh0dhtYuuIm2izIHHagEO1AI/uUuEHVUscO8/AV88NPOw4y4xDXj4h8CqxwHJBtR9GmhtnP3rEhHRrJSVlaGqqgp79uxBfX39nL2PyWRyrcFTW1s7p+v5KSRJkubs1UOI2WyGWq1Gb28vUlJSZKvHxfZ+lH3vTSTHReHEv94vWz1gPCBadbouiscFHwA++B0grcD/72UbBX7zOND8GhCfCnzuVSCjyP/vQ0Qkg+HhYVy6dAn5+fmIi4uTuzohaapr6O3nN7u0gkxAx+9IEjDUA/S0AKbLQM9lcb/zAnD5HfGcpHnAAzXAikfmbjaVKhp47H+A/35YDGb+1SPA51+deAA0ERHRDDDwBBnXGjz+7s4aGQRaDwMtbwPtZ8cCjnNK+S0UwO3bgA/8MxCn9m9dJhKbBPx1HfDz+0Wr0q8eBT77kmjxISIimiUGniDjbOGZ9YDl0WHgaqMIOJfeFvftoxM/N2keoMkDUvPGbnPvADKWzK4OvkpMBz75AvCz+4D208BvPwF86gUg2vt1I4iIiCbCwBNkxtbgmUGXVlczcPIFoOUtoPWIWOXYXcoCsafVgnVA6iJHwFkYXIEiNQ/45PPALx4UqzM//yRQ8d+Aij+qREQ0c/wUCTJdA44xPL52aXVfAnZtBEYHx44lzRMBJ3+TuNXqQmNV4/krgY//FnjuEbEP10tfBT70/dCoOxHRJDhHaObsdvusX4OBJ8h0zbSFp+HrIuzMWwms+wyQfzeQXhi6IWHRRuDRnwL7nxBbUiRmAh/4J7lrRUTks+joaCgUCnR0dCAjI8On3cojnSRJGBkZQUdHB5RKJWJiZj7cg4EnyDgDj0+ztFreAc78Xuxl9cheYN7yOapdgC3/MPDQd4E/PQW8tVPszbX5ablrRUTkE5VKhZycHFy9ehUtLS1yVyckJSQkYOHChVB6s6r/JBh4gkzngI+Dlu12sd0DABR/OnzCjlPp58XU+de/Bbz+b2LNnnt2hG7LFRFFpKSkJBQWFmJ0dJLJIzQplUqFqKioWbeMMfAEmbEWHi8Dz3u/FftRxaaIVZDD0eavAcoosQ3Fm7Ui9Gz5OkMPEYUUlUoFlUoldzUiFreWCCIjVjt6h0T6T0v0okvL0g+89k1xf9NXxR5V4WrjV4D7HZvUvfM94NV/FgsnEhEReSHoW3iqq6uxY8cOaDQaAGJH1fr6euh0OhiNRlRWVnp1LhT0DIrWHaUCUMdHT/8FB38A9LeJKeZ3fnFuKxcM7vobsSrzS18D3v1P0dLzYC1beoiIaFpBHXgMBgN27tyJHTt2uI5VVFS4tqs3Go3Ytm0b6urqpj0XCpyBR5MQA6Vymg/x3qvAoR+J+1u/CUQFYCuKYHD7NhF6/vAV4MhuwDYidm6fxUA2IiIKf0H9KWE0Gj22ijcajR7ndTod9Hr9tOdCRc+A6M7SJHjRuvPujwHrEJC3AVj24TmuWZBZ9xngIz8GoACafgH8/kuA3SZ3rYiIKIgFbeCpr69HeXm5xzG9Xg+tVutxTKvVwmAwTHluIhaLBWaz2aPIzeRo4UlN8GLAsvGAuL29MjK7dNb+NfDIHjEV//ivgP/3RcBmlbtWREQUpIIy8JhMpgnH3phMpgmf393dPeW5idTU1ECtVrtKbm7uDGvrPybHgOXU6Vp4BrvFXlOAaOGJVKseAx79GaBQAe/vA57/HNB3U+5aERFREArKwLN//36UlZV5/fzJws5U53bs2IHe3l5XaW1t9bGW/uccw6OOn6aF5/IhcZteFN4zs7yx8hHgsf8GlNHA6ReBH6wC/vQ1wHRF7poREVEQCbrAo9fr8dhjj014TqPR3NJi093dDY1GM+W5icTGxiIlJcWjyM006GULjzPwRHLrjrtlDwNPvAjklIoNUxv3Aj9cC/y/vwE6L8pdOyIiCgJBF3gA0cKzZ88e7NmzB0ajETU1NTAYDJO2+pSUlEx5LlT0DDjG8Ey3cejld8Ttoo1zXKMQsmgD8PkG4Infi33E7Fbg+K+B/ywB6j4DtJ2Qu4ZERCSjoJuWPj64VFVVoaqqymO2lpPRaERJSYmrhWeyc6GiZ9CLWVrDvWMf3nnrA1CrEKJQALq7RWltBN7+LnD+z8Cp34lS9ABwxxeA+bcBCWmROdibiChCBV3gcTKZTNizZw8AoLa2FlVVVSguLkZdXR2qq6tRWlqKxsZGj3V2pjoXCryapXXlMCDZgdR8ICU7QDULQbmlwCf+F2g7KVZmPvU74PzLogBArBpI0wHaAiCtwO1WByRop35tIiIKOQpJ4vr8AGA2m6FWq9Hb2yvbeJ4t3z2A5o4B/GbbHVhfkD7xkxq+ARz8PrDmk8BHfxzQ+oW0rmZx3S6+DpivTv3ceC2QuQzIWCpuM5cBGcuAxLSAVJWIiLzn7ed30LbwRKJe17T0KVp4Lh8Ut4s4YNknaQXAhx0rU48OAd2XgO5mEYS6m4Euo7jtuwEMdYvr7LzWTokZY+EnazWw9INAfGrgvxciIvIZA0+QkCTJNUtr0jE8IwPA9WPiPsfvzFx0PDBvuSjjjQwAnReAjrNA+xnH7WkxzX2gA7jUAVx6Szz3j7HAkgeA1R8HFpeJLS+IiCgoMfAEiT6LFVa76F2ctIWn9YiYfZSSA2jyAli7CBKTCGSvEcWdpR/oPAe0OwJQ8xtA+ymx9s/pF4GEdOC2cmD1XwFZazggmogoyDDwBAmTYx+tuGgl4qJVEz/Jtf7Oen6gBlpsErBgnSgAIElittz7+4D39wMD7cDhXaJkLAVWPS6KeoG89SYiIgBBug5PJOrxZoYWx+8ED4UCyFoF3P9t4KkzwF/XAysfBaLiRDfYa88A318JPP8kcPOU3LUlIop4bOEJEs7Ao5ks8IwOA1ePivtcYTm4qKKAwq2iDPeKLq7jvwWuHAJO1Imy5IPAxqfEdHkiIgo4tvAEiWm3lbjWBNgsQGImkLY4gDUjn8SpgeIngM/9Gah8E1j+UQAK4NxLwM/KgF9+CGh+XXSJERFRwDDwBIlpFx10jt9ZtIHjd0JF9hqxsenfNQJrPwkoo4CWt4HnPgbsvRc48wfAbpe7lkREEYGBJ0g4t5VQT9bC49w/i91ZoSe9EPjIj4EvHxdbW0TFi+UF9n0S+MkdwJG9wLBZ7loSEYU1Bp4gMdbCM0HgsY2KKekAA08o0+QCD9YC/+cksOlrYnuLzvPAS18DvrcM+ONTHOBMRDRHGHiCRM/gFKssXz8OjA6KVX0zlga2YuR/ienAln8RwefBnUB6ETDSDxz9GfBf64GfPwicqAesI3LXlIgobHCWVpCYcpaWe3eWkhk1bMSlAHdUAbdXirE9jT8FzvxRzO66ckhsZVH8BLDus6J1iIiIZoyBJ0hMOUvLfcFBCj8KBZC/WRTzdcDwP0DTL8W+Xm9/V5QFJcCSB8X09sxlHLhOROQjBp4gMWkLj90GXPmLuM/xO+EvJRu45x+ATV8VU9mP7BWtP9eOivL6t8S2Iks+KAJQ3nru4UVE5AUGniAxaQtP2wnAYgZiU4D5t8lQM5KFKhpY/hFRzDeA8y+LYjwAmC4Dh/9LlFi1WPBwyYPAok1A8jy5a05EFJQYeILAqM2OfosVwASDlp3bSSy8E1BOsscWhbeULKDks6KMDIjQc+4l4NzLwGAncLJeFABIKxRrNeVtFK0/3MuLiAgAA09QcLbuKBRASvy4Fp6rjeJ24V0BrhUFpZhEYOlDothtYgXucy8BF/VA20mg64IoTb8Uz09dJMLPog3Aoo2AZqGctScikg0DTxBwrsGTEhcNlXLcYNTOi+J23ooA14qCnlIF5N4uStm/AkM9YrxXyzuiZfDGe0BPiyjHfyW+Rp0rWn7y1osglFbAAdBEFBEYeIJAz2Tjd+x2oMsReLh/Fk0nPtUxk+tB8Xi4F7hyWCxr0HJQrO7c2wq8v08UQOzNlrdeDIjPWw9kLufSB0QUlhh4gsCkM7TM1wDrEKCMFjNziHwRpwaK7hMFACz9oov08iFRrjYCA+3A6f8nCgDEaUT4cXaBzVvJsWNEFBYYeILApNtKdF0Qt9p8QMV/Kpql2CSg4F5RAGB0GLhuEN1flw+J1qBhE3DuT6IAYhZY3noRfhZtAOavYgAiopDET9EgMOm2El3N4jatMMA1oogQHTc2ngcAbFbgxvGxMUCX3wUsvcD5P4sCiAC08M6xkr0WiI6X7VsgIvIWA08QcM7SuqVLq9PRwpPO8TsUAKooIKdElI1fEQGo7T0x/qflHeCKIwBdeEUUQHS3Zq0W4Sf3DnGblCnrt0FENBEGniBgco3hmaRLiwOWSQ6qKGDBOlE2fFlMg297XwSg1sOi9N8cWwX63f8UX5e6CMi9E1hQDGStEQtmxiTI+Z0QETHwBIOeycbwOKeks0uLgoFSJbqwstcC+DtAksSUd2f4uXIYaD89NhX+/f8VX6dQAhlLRfjJXgtkrxGDoRmCiCiAGHiCQM9EXVqjQ2IKMQCkM/BQEFIoxIB6bT6w+q/EsSETcPUocPUIcP24GBPUf1MEofbTwHu/cXytyhGCVosAlLXa0RKUKM/3QkRhj4EnCIzN0nILPN1GAJKYWpyQJk/FiHwVrwEKy0QBRCtQ342x8HP9uFgPaKAdaD8lijMEQQGkF90aguLUcnwnRBRmGHiCwFgLj1uXlnPAclohV8Kl0KVQiB3gU7KBpR8UxzxC0HsiCN14TxzrPCfKif1jr5FeBCwoEWOCckqAzBVAVMxE70ZENCkGHplJkjTWwpPo9kvcucIyu7Mo3EwUggCg76YjADlD0PtA7xWg87wozpYgVaxo/VmwTgSgBcVAaj7/MCCiKTHwyGxwxIZRmwRg3KBlbilBkSZ5HpDstjI0AAx0ig1SrzWJsUHXmsTiiFePiHLY8byEdLGnWE6puM0u5qBoIvLAwCMz5wytmCgl4qPdVrDt5JR0IiSmA0X3iwKI7rBuoyP8OALQjfeBwU6xa/y5l8TzlFFiJlju7UCOY4NVzUK2AhFFMAYembkWHYyPhsL5y1iSxtbgYZcW0RiFQuzwnlYArH5cHBsdFt1gV48ArY7S3+boFjsOHNkjnpc0b6wFKOd2MTCaq0QTRQwGHpn1TDRDa7BL7HQNBaDVyVMxolARHQcsvEMUQPzB0Nsqgs/VRnHb9r6YHn/2j6IAohVo/irPrjB1LluBiMIUA4/Mppyhpc7lX6BEvlIoRPeVZiFwW7k4NjokZoU5W4GuNooAdN0gyuFd4nkJ6Y4p8WvGbtU5DEFEYYCBR2a9E7XwdHEPLSK/io4H8u4SBRCtQKYrYy1AV48AbSfEWKCLelGcxoeg+as4HogoBDHwyMy1U3riRDO0OH6HaE4oFEBqniiuVqBh4OYp0eJz4zhw/T2g48zEIShOLYLP/FViccSsVWK9IFX0hG9HRPJj4JGZcwyPOt6thaeTa/AQBVx0HJCzThQnZwi6cWxstej2s2KMXcvbojipYoHMZSIAzb9NzBKbt0KsPk1EsmPgkVmvs4XHYw0e55T0AhlqREQuE4Ug6wjQcVZ0gbW977g9AVjMYzPD3KkXAvNXigDkvE3NB5TKQH4nRBGPgUdmzhYe16BlmxXoviTus0uLKPhExYgurKxVAP5aHLPbAdNltwB0Erh5UswW670iinONIACISRLBJ2v1WMlYwi4xojnEwCOzW3ZKN10G7KNAVDyQskDGmhGR15TKsZ3jl39k7PhQj+gSazsJ3HQEofYzwEg/0PoXUZxUsaILzD0EzVsBRMUG/vshCkMMPDLrHXJ2aTkCj2vAcgGbvIlCXXwqsGijKE42q+i2vvH+2N5hbe+LLjHnNHknZbQYD7SgWGyXsWCdGNunVN36XkQ0JQYemd3SpcUtJYjCmypKDG7OXDa2WrTdDvRccts81bGB6lDPrSEoJgnIXivKgnWicK0gomkx8MjIZpdcLTyuwMNd0okij1I5tmXGykfEMUkCelpE2LnmKDeOi+6w8TPEkuaLneNzSoAFJSIMxSbJ8Z0QBS0GHhn1DY9CEhulQxM/vkuLLTxEEU2hGBsXtPJRccxmBTrPOXaQN4jbm6fE3mHu22YolEDm8rEAlFMCpC9hNzlFNAYeGTkHLCfGqBAT5fhF5OrSYgsPEY2jihIDmeetAIqfEMdGBh2bpzaKHeSvHgXM18QssZsngaZfiufFJIuxQO4hKClTtm+FKNAYeGQ0Nn7H0bpj6RN/qQFcg4eIvBOT4LltBgCYr4vg4wxA148BI33ApTdFcVIvdKwzVCpCUNZqsfYQURhi4JFR7/htJXoui9t4LVdnJaKZS8kGln9YFEB0hXWccQtBTWLxROcaQad+J56njBaLIzoDUE4JoNVxQDSFBQYeGblaeOLd1uABxP4+RET+oooa2/Ki5LPi2LBZtPw4W4GuHgUG2sWx68cA7BHPi9d6doMtWMc/yCgkMfDIaGzRQUcLj+mKuNUslKlGRBQx4lIA3d2iAGJWWG+rGAt0tUnc3ngPGOoGLrwqilN6kWgFcgahzOUiVBEFMf6EyqjX0cLjWnTQ2aWlYQsPEQWYQiH+2NIsHJsVZh0RK0RfPeoIQkfFekGd50U5/mvxvOgEsTCiczxQzu1A8jz5vheiCTDwyGjSFh52aRFRMIiKGVvc8I4qcWygU0yHv9romBlmEKtEX35HFCf1QtEClHu7CEHzV4nXI5IJA4+MbpmlZWILDxEFucR0oOh+UQCxSnTn+bEAdPUo0H7abUD0C+J5qlgxCyynFMgtBXLvBFKy5Ps+KOIw8MhobB+taMeqqgw8RBRilEogc6koxZ8Sxyx9ouXn6pGx7rDBLsfjI4Bzz1T1QmDhHUCuo8xbwX3CaM4EZeAxGAzQ6/UAgMbGRuzduxcajQYAYDQaUV9fD51OB6PRiMrKSq/OBSOPfbSGesQ6GQCgyZWxVkREsxSbfOuA6G6jI/wcAVoPixWie68AJ64AJ+rE82KSHN1gjgCUUyoGVxP5QVAGHr1ej+3btwMAdu7ciS1btqCpqQkAUFFR4bpvNBqxbds21NXVTXsuGPUMOMfwxACmFnEwaR4QHS9fpYiI/E2hGNsrzLlhqqVPBKDWI0DrX8R9ixkwHhAFcGyRscLRCnSnuFXncl0gmpGgCzwGgwE1NTWuwFNeXo7q6moYjcZbnqvT6VwtQePPu58LVmNdWjFAO6ekE1EEiU0GCu4VBQDsNqD9jGj9aT0MXPmLGNd484QojT8Vz0vOHgtAeXcB81ayG4y8EnSBp7i4GHv37nU9NplMAACtVov9+/dDq9V6PF+r1cJgMODo0aOTnisuLp7zevtqxGpHv8UKANDER3P8DhFFNqVKrPI8fyVQ+nlxrK9NBB9nAGp7H+i7LlaGdq4OHasWwWfRRiBvg5gNxjWBaAJB+VNRXl7uur9v3z6UlZVBo9G4ws943d3dU56biMVigcVicT02m80zru9MmIbE+B2FAkiJj+Yqy0RE4yXPB1Z8VBQAGBkQU+KvHBbdYFcOA5Ze4PzLogBik9S8u0T4WbQRyFrDAEQAgjTwOJlMJtTX17vG5Uz1PF/P1dTU4JlnnplF7WbHuY+WOj4aKqWCqywTEU0nJhHI3ywKIPYIa3sPaDkIXD4IXH5XBCD3laFjkoCFjhagRZvE1HgGoIgU1P/q1dXVaGhocM200mg0t7TYdHd3Q6PRTHluIjt27MBTTz3lemw2m5GbG7jZUa5FB+PHbRzKLi0iIu+oosYWRtzwZTEOqO2ECD/OEDRsAi42iAKMtQAt2uRoAVrNMUARImgDz86dO1FdXQ2dTudqpSkrK8Pu3btveW5JSQl0Ot2k5yYSGxuL2NhYv9bZFx6LDkoSW3iIiGZLqQKy14hy19+KRRFvngRa3gFa3nYEoHEtQLEpQN56EYDyNwHzbhNrC1HYCcrAU19fj+LiYlfY2b9//4Rr6hiNRpSUlLhaeCY7F4ycXVqpCdHAQAdgHQKgEFMuiYho9pRKIGuVKHf9jWgBunkSuPS2CEGXD906Big+VYz/yd8sQlDmMk6DDxNBF3iMRiMqKio8jmk0GlRWVgIA6urqUF1djdLSUjQ2NnqsszPVuWDj0cLjbN1JyeZeM0REc0WpEl1YWauB9X8nAtCN99xagA6JRWDP/lEUAEhIF11fursB3T1Aaj4DUIhSSJIkyV2JYGA2m6FWq9Hb24uUlLlf2bP25bP4rwPN+OyGRfjGojPA858HFq4HPvfnOX9vIiKagG0UuH4caHlLtAJd+Yuj9d2NZiGgu1eEn/y7gcQ0OWpKbrz9/A66Fp5IYXK08KQmxHBKOhFRMFBFOzY2LQU2fRWwjohp8JfeAi69KVaFNl0BDP8tChSiu0x3jygL7+JK+UGMgUcmY9tKRAOdHLBMRBR0omIca/rcBdxTDVj6RbeXc/uL9lOiS+zGe8DBH4gd4fPuAgo+IErmCg6ADiIMPDLpcW/h4ZR0IqLgF5sEFN0nCgD03RQtP8YDQPMbYhVoZxhq+DqQmCG6vwruFbcpWTJWnhh4ZNI9IAKPNjGGU9KJiEJR8jxg1WOiSBLQeV4En+bXxUDogQ7gxH5RACBz+VjrT94GIDpO3vpHGAYemThbeLQJUUBvqzjIMTxERKFJoQAylohy5xfE+J+rR0T4aX4DuH4MaD8tyrv/CUTFidlfBVuAxWVAeiFnf80xBh4Z2O2Sa6XldKkHsI0ACpXYBZiIiEJfVIxjO4uNwJavA4Pdjq6v14GLr4nur4t6UV7ZIdZgK/iACD+6u4E4tdzfQdhh4JFB37AVNrtYDUBtuS4OqnO4vwsRUbhK0AIrHxFFkoCOs47A85oYCN3bOjb7S6ESM74KtwKF93HxQz/hJ6wMugbELu1JsVGI6bsqDnL8DhFRZFAoRIjJXAas/xIwMii2vbj4mghBXReAy++Iov+GaP1xhp/8zWITVfIZA48MXON33Acsc/wOEVFkiklwBJqt4nH3JRF8Lrwq1gDqbQWO/lwUlaOrrPA+oOh+QKuTt+4hhIFHBt2ONXhSE90WHeSUdCIiAgBtPnD7NlFGh8SqzxdeBS68Iv5Ibn5dlJf/AUgvEsGn8H5g4Z1i8USaEAOPDHqcU9ITojklnYiIJhcdP7b2j/Qs0HlBBJ8Lr4qxP53nRTn0IyBWDSzeAhQ9IAY/c9sLDww8MuhyrcETC9xg4CEiIi8oFEBGkSjrvwQM94qWnvOOADTYBZx6QRSFEsgpBZZ8EFj6kJj2HuEYeGTgHMOTlqAEejlomYiIZiBODaz4mCh2m9j36/zLIgDdPAm0HhZF/w0grRBY+kFgyUNATonYOT7CMPDIwLnK8oIoM2AfBZRRQDKXHCciohlSqoDc20XZ8nXA1CrCz9k/iVWfuy6I/b4O/kBseVH0gGj50d0TMRueMvDIwDmGZwE6xAF1TkSmbSIimiOa3LGBz8O9YtbX2ZeACw1iy4tjz4kS7ZghtuzDYuZXXIrcNZ8zDDwycI7hmWe/KQ6wO4uIiOZKnBpY+ago1hGx5s+5l0QAMl8FTr8oiipGbHK6/MNi7E+CVu6a+xUDjwxc6/CM3hAHGHiIiCgQomLE7u0F9wIP7gRuHAfO/AE4/XvR7XXhFVEUKrHez7KHgaUfCoud3hl4ZOAcw5M87Aw8XIOHiIgCTKEAsteK8oF/ATrOAWd+L0rbCeDSm6K89DSQewew/CMiAGly5a75jDDwBNiozY6+YSsAIH7gmjjIFh4iIpKTQgFkLhXl7u1AtxE480cRfq42Aq1/EeWVHcCCdWLMz/IPh9RKzww8AeYcsKxUAFF9reIgAw8REQUTrQ7Y8GVReq8BZ/8oxvlcPiSmv19rEtPd598mWn6WfzTo1/ph4AmwbucaPPEqKLgGDxERBTv1AuCOKlH6bo6Fn5Z3RNdX2wng9X8D5q0UawKtfCQoW34YeALMOX5ncUI/0G/lGjxERBQ6kucBpZ8XZaALOPcnEX6MB8RihzdPAq9/C8haI4LPio8FzR/1DDwB1uPYOLQwtgfoB9fgISKi0JSYBhQ/Icpgt5jtdeoFscP7jeOiNHxdbHGx4hFgxUeBlGzZqquU7Z0jVPeABQCwSNUpDgRJ8iUiIpqxBC2w7tPAEy8CXz0PPPRdIG8jAIUY9PzKDuB7y4Fjv5KtimzhCbCOftGltVDJwENERGEoKQMofVIU8w3R5XXqBbGvV+6dslWLgSfAOvtFC898e7s4wDV4iIgoXKVkAXd+QZS+NiB5vmxVYZdWgHX2icCTbuUqy0REFEFkDDsAA0/AdThaeNTDjkUHU/NlrA0REVFkYOAJsM5+C2IwirhBRwuPloGHiIhorjHwBJAkSejsG0GOogMKSEB0IpCYIXe1iIiIwh4DTwANjNgwNGrDQsVNcUCbL/YvISIiojnFwBNAzgHLi6McU9JTF8lXGSIiogjCwBNAzinpRTEMPERERIHEwBNAHY4WnnylYw0eDlgmIiIKCAaeAHK28CyQ2sQBTkknIiIKCAaeAOroH4ECdmRYOSWdiIgokBh4Aqijz4JMmBAtjQAKFaDOlbtKREREEYGBJ4A6+y1YqHDuoZULqKLlrRAREVGEYOAJoJvmYeQpHWvwcPwOERFRwDDwBNCN3mHoFM7xOzp5K0NERBRBGHgCZMRqR2e/BQWK6+JAxhJ5K0RERBRBGHgCpL1vGJIELFY6Ak96kbwVIiIiiiAMPAHS1juMKFiR59xHi4GHiIgoYBh4AuRG7zDyFDcRBRsQkwSkZMtdJSIioojBwBMgbb3DY+N30gu5SzoREVEAMfAEyI3eYSxWcPwOERGRHBh4AuSaaRAFSrcWHiIiIgqYKLkrECmudA9hqeKKeJCxzC+vKUkSzCNmtA+2o2OwAx1DHRiyDk37dQoooHB0qSkVStdj91sJEkbto7DarR7F/ZhNssEu2SFBgl2yi/uSBDvErQQJCigQpYxCtDJ60ttoZTSiVdFj9x2P3c9HKaNcdXOvsxJKKBVKQOH4viC+L+f353rsuIUCiFJEQalQQqVUiftKpccxlUIlXtPPJElc0xHbCEbsIxixjWDUNooR+wgsNos47jhnsVkwahsVt/ZR2CW763rb7DbPx5INEiQoIeqvVCihUqiggMLjscet4/t0lXFf57qeCoXHNXReV+e/70T/5uN/Flz3Jbvrec7n3PKzOUFXr/PfW6kQ/9bu/+7O+yqlyuM544vznEqhEl/jPIeJnz++OL/O/To6709UZyIKPgw8ASBJEtq6e1GkuCoOZK2a0evYJTvOdJ/Bu9ffxbvX38X7He9j2Dbsx5qSk/NDLUoZ5XHrCkkKJSRIruc7P+wlSJAkcdwu2T0CjtVulevboTk0PgA5f0acodL9Z0elUCFaGS2e6wjazrA53X33cOp83fE/p+Of5x7ox/8MRylvrWOUMsqzKKImPOb+RwhRqGDgCYDugRFkj7QgOtYGKU4DhQ+bhppHzHjt8ms4dP0QDt84jB5Lzy3PUceqkRGfgcyETCRGJ077mq4PZ8df4JAw9pe34zEU8GhdGX/r/EXqbBEY/9e3869ou2S/pXXI/XbUNur52Flsox6PrXarq/XAWV9nC4GrRQESnBnEGUZct9LYY5vdBpskymScrzlqH/X638pXUYooRKuiEauKRYwqBjHKmLH7bsX1AenWQuPe8uC87pIkuVp9XC0/bsfcb52tRFa71XXMed8Z3Dyum9v1c7YmubeUTNTiNtnPhvO+q9XNwT1AehyTMGHrkEcLk1tLl/O8e3FeC/cWp/HHJnr+VD8jTq6fFczdz0qwcgY490Dk/tjjnOPnPUoZhWhF9K1Byi1gjX/N8V8/3fOilI7nKiZ5DoNbRGLgCYAr3YNYoWwBACiyVnk1Q6ttoA3PnX4O9efrMWgddB1PiErA7Vm3466su3BH1h3ISc5BrCp2rqoe1tw/KJ0hwP2D33nfec4qWcWt49hk3T3uXUIxSs/g4n5/LrrNyP/GByHXrX3sZ8f9mFWyusKk+8+Ox2O3LmHnz5X71zjDtvN9x7+Ws2vTvbvT/WfY/b7rORP8DE906/wDw/nYvQt7PJtkg81mA6bPhUFtfOuW+x927sdu+cPPy/teff00gW7SOjru8/fJ9Bh4AuBS5wBWKlrEg/lTd2cZTUb8/OTP8adLf3J1gRSoC1CWV4b12etxW8ZtiFZyl3V/cI7JUEEld1UoiDlbqCKdJEljgUiaeFyf+7HxLboTPlea/DXGv4c3z5msNdk9tE0V3Cw2iwxX1j+c3Z/jA9H4YORxXCVa21RKlUewcj5nom7OaGX0xF2d41rYxn+t83Fuci6SY5JluUYMPAFw/mY/HlaeFw8WrJvwOZ1Dnfjx8R/jhQsvuLpqSuaV4LMrP4tNCzaxyZWIZKVQKMTkAlVo/8Hl3jrmHpgmC05Tha1R2+gtwe2WrnvbqOf5cV8zZUiboH7O4xN9XyOSGC8YzH685cfYnLNZlvdm4AmAqzduYJlzhlbeeo9zFpsFz51+Dj898VMMjA4AAO7NvRdP3vYkVmXMbHAzERFNTKlQQqlShnRwkyTJq1a2yVrHXI8doc3Z9eneEjbZ8ycKYKOSoxvUbVjARN2lVrsV8VHxsl23sAo8RqMR9fX10Ol0MBqNqKyshEajkbVOdrsE1dXDUCokDCfnIS55PgDxA/t66+v4TuN3cLVfzN5akbYC20u3o3hesZxVJiKiIKZQKBCtiObwBh+FVeCpqKhAU1MTABF+tm3bhrq6OlnrdO5mH+4YOQxEAdFFZQCAEx0n8H3D93Gk7QgAIDM+E19Z9xU8pHuIYwWIiIjmQNgEHqPR6PFYp9NBr9fLVJsxR09fwEdV72IUwF/m6/Br/Rdw8NpBAECMMgafXvFpPHnbk0iITpC3okRERGEsbAKPXq+HVqv1OKbVamEwGFBcfGsXkcVigcUyNiLfbDbPSb2azv8T9NnJOBeTgYHTuwGIPuQP6T6Ev1vzd8hKypqT9yUiIqIxYRN4TCbThMe7u7snPF5TU4NnnnlmDmsEwG7HYNRNGGLiAADaOC0+mP9BfGLZJ5Cb7P3ig0RERDQ7YRN4JjNZENqxYweeeuop12Oz2YzcXD+HEKUSn37wh/jIlYPIL3oYS7RLoVJyzRciIqJAC5vAo9FobmnN6e7unnSWVmxsLGJj536F4g05m4CcTXP+PkRERDS5sJkSVFZWNuHxkpKSANeEiIiIgk3YBB6dTufx2Gg0oqSkRPZ1eIiIiEh+YdOlBQB1dXWorq5GaWkpGhsbZV+Dh4iIiIKDQpIkSe5KBAOz2Qy1Wo3e3l6kpKTIXR0iIiLygref32HTpUVEREQ0GQYeIiIiCnsMPERERBT2GHiIiIgo7DHwEBERUdhj4CEiIqKwx8BDREREYY+Bh4iIiMIeAw8RERGFvbDaWmI2nAtOm81mmWtCRERE3nJ+bk+3cQQDj0NfXx8AIDc3V+aaEBERka/6+vqgVqsnPc+9tBzsdjuuX7+O5ORkKBQKv72u2WxGbm4uWltbuUfXHOJ1Dgxe58DhtQ4MXufAmMvrLEkS+vr6kJ2dDaVy8pE6bOFxUCqVyMnJmbPXT0lJ4X+mAOB1Dgxe58DhtQ4MXufAmKvrPFXLjhMHLRMREVHYY+AhIiKisMfAM8diY2PxjW98A7GxsXJXJazxOgcGr3Pg8FoHBq9zYATDdeagZSIiIgp7bOEhIiKisMfAQ0RERGGPgYeIiIjCHtfh8QOj0Yj6+nrodDoYjUZUVlZCo9HM+rnkyddrZzAYsG3bNjQ1NQWukmHCl2ttMBig1+sBAI2Njdi7dy9/pr3ky3V2XmOTyYTGxkY8/vjjKC4uDmBtQ9dMf+9WV1djx44d/Hn2kq+/NwCguLgYRqMRJpNp7n+eJZq14uJi1/3m5mapvLzcL88lT75cu7q6OqmpqUnij/jM+HKta2trPe67fy1NzZfrrNFopKamJkmSJGn37t2STqeb8/qFi5n83nX+/ujp6ZnDmoUXX65zZWWlBEACIJWVlQXkOrNLa5aMRqPHY51O5/pLbDbPJU++Xrvy8nL+9TtDvlxrg8GAmpoa1+Py8nIYDIZbXoNu5evPdF1dncfPNFsdvDPT37tGoxE6nW6uqhV2fL3O69atQ09PD3p6etDQ0BCQn2cGnlnS6/XQarUex7Rarau5bqbPJU+8doHjy7UuLi7G3r17XY9NJpPr+TQ1X3+my8rKXPfr6upQVVU1p/ULFzP53VFfX4/y8vK5rlpYmcl11mg0AQ3uHMMzS85f8ON1d3fP6rnkidcucHy91u4fDPv27UNZWRlbH7wwk59pg8GAffv2YevWraisrJyjmoUXX6+zyWTiz+8MzOQ619fXAxBj/6qqqua8RY2BZ45M9o8/2+eSJ167wJnuWjt/gXGQ+OxMdZ2Li4uh0+lQXV3NVohZmuw679+/n2HSjya7zu4DmnU6HbZu3Yrm5uY5rQu7tGZJo9HckmC7u7sn/AvBl+eSJ167wJnpta6urg5YX3w4mOl11mg0qKioQEVFBQO/F3y5znq9Ho899liAahZefP15dh/z45zVNddj/xh4Zsm9X91dSUnJrJ5LnnjtAmcm13rnzp2orq6GTqeDyWTiB7EXfLnOer0eqamprsfOpn8ODp+erz/P+/fvx549e7Bnzx4YjUbU1NRwrKAXfLnOBoMBW7ZsueX4XI/9Y5fWLI3vczQajSgpKXGlWoPBAI1GA51ON+1zaXK+XOfx2CfvG1+vdX19vaurxWQysUvAS75cZ61W6/GB4jzHmYjT8+U6j//QrqqqCsjYknDg62dhbW2t67l6vR7l5eVz/nuam4f6gdFoxO7du1FaWorGxkaPhaoqKipQWlqK7du3T/tcmpov11mv16OhoQE7d+7E9u3bUVpayvEOPvD2WhuNRhQUFHh8rUajQU9Pjwy1Dj2+/EzX19e7ugwaGhpQW1vLD2Iv+XKdAfFH0p49e1BdXY3KykpUVVUxXHrBl+vsXLBUo9GgubnZIwDNFQYeIiIiCnscw0NERERhj4GHiIiIwh4DDxEREYU9Bh4iIiIKeww8REREFPYYeIiIiCjsMfAQERFR2GPgIaKwVlVVdcviiEQUebi1BBGFtYqKils2NSSiyMMWHiIKaw0NDdi6davc1SAimTHwEFFY0+v1U+70TkSRgXtpEVFYUygUkCQJRqMRBoMBRqPRY6NIIooMbOEhorBlMBhQXFwMk8nkur9v3z65q0VEMuCgZSIKW3q9HgBw9OhRlJeXAwCamprkrBIRyYQtPEQUthoaGrBjxw4YjUZUVVXJXR0ikhHH8BBR2EpNTUVPTw8AoKCgAM3Nzaivr3e19hBR5GALDxGFJaPRiLKyMtfj8vJy1NfXo7i4WMZaEZFc2MJDREREYY8tPERERBT2GHiIiIgo7DHwEBERUdhj4CEiIqKwx8BDREREYY+Bh4iIiMIeAw8RERGFPQYeIiIiCnsMPERERBT2GHiIiIgo7DHwEBERUdj7/zOE7vrFi5MuAAAAAElFTkSuQmCC", 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", 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", 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", + "image/png": 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", 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tVmPhwoWIj49HbGysYWmTiIgIQ9esSqVCWFgY1Go10tPTDZMuQkJCEB8fj4SEBMOki+TkZEMM/5yQoW8NnDdvHuLj45GUlNSghdBayYQQQuogpFZcXAwvLy9otVp4enpKHU6rbftzI1amZuCMZzj+XBgBuzaW2ORqKxH53laUVNXildv6Yc5N1j3DiYjansrKSmRlZSEwMBAuLi43foKF8fb2RlERe02a43rXvDl5CrtibZD73o/wlVM8lrT/o80ldQDg5+WCxbf2gwuqIFJfx8XMg1KHRERk85KSkhAbGwu1Wo2wsDCpw2mzmNjZmML8ixhQvgcAEDDmbomjkc7d4QH4xHst5tr9BO2a+RC6OqlDIiKyaREREfD19UVKSgoSExOlDqfNYmJnY07++TWcZHXItFegW9+2+43Jzk6GPtFvoEw4o2/1YajWvyd1SERENk2hUGDhwoWGiRIkDSZ2Nsbr1A8AgALFdGkDsQABij5Q9XoGANDn8LsoyGnZ5tBERETWgomdDbmgPoZ+NUehEzIETZgtdTgWYeSshTjm0BfuqMDF1fMBzhUiIiIbZvGJXWxsrGF9GqB+T7iEhASkpKQgISGhycfagrNbvwIAHHUZivade0gbjIVwcHSEw/RPUCUcMKhsNw78/oXUIRERNRkXrmg7jHWtLTqxU6lUSEhIaPBYdHQ0Fi5caNhnbu7cuU06ZuuEEBDn6/fUq+zXNnaaaKpeA8OxN+BhAIDPngRoyyoljoiI6PocHR0BAOXl19jnlWyO/lrrr31LWfQCxWq1usEAzH/uLwfUD9TUL3p4vWNtQVZBGe4rewbBDufw9YR7pA7H4oTf/ybWv5uDZSWTMe6Pk4i7a7DUIRERXZO9vT3kcjny8vIAAO3atYNM1vaWr2oLhBAoLy9HXl4e5HI57O3tb/yk67DYxC4lJQVRUVGIjY01PKZUKuHj49PgPB8fH6hUKqSnp1/z2JUbAtui03mlAGSo6TQI7p7eUodjcVxcXNH1no9xMWk3vtubjWlDumJkkK/UYRERXZOfnx8AGJI7sm1yudxwzVvDIhO7a23Ce60xc4WFhdc91hZk5pcBAII6uEscieUarvDFvcO74ds957A2+RsMfWI2XD3kUodFRNQomUyGzp07o2PHjqipqZE6HDIhR0fHVrfU6VlkYrd27VrExMQ0+fzrTZJo7FhVVRWqqqoM94uLi5sTnkXqeeRDJDoeQZnDIwCCpQ7HYi2a0he9Dn2AhytTkP7NIYTNXyl1SERE12Vvb2+0D32yfRY3eUKpVGLmzJmNHpPL5Ve1wBUWFkIul1/32JXi4uLg5eVluAUEBBgtfqkEaPbiFvt0dG9XIXUoFs3TxRFDbroNABCSm4ITO36UNiAiIiIjsrjEDqhvsUtKSkJSUhLUajXi4uKgUqkQERHR6PlhYWHXPXalxYsXQ6vVGm7Z2dlGjd/chBDwq6n/P8j9B0gcjeULGX8XdnlOhp1MIGjTw1B9+xq3HCMiIptgcV2xVyZo8+bNw7x58xrdnkS/0bC+xe5ax67k7OwMZ2dnY4YtqaL8i/BBKQCgS9BAiaOxDgPnJmF34iMYUapEyMkPcPjd3Qic8zXcvDtKHRoREVGLWWSLHVA/Nk6/hl18fDxUKhUAIDk5GbGxsYZNhpOTkw3Pud4xW5arPlT/r6wDXN08JI7GOnh4eGH488n4u++rqBKOGFi2GwUfj8eJnCKpQyMiImoxmeCy1iguLoaXlxe0Wi08PT2lDqfZ9q57H8MOvY5DLqEYtGiL1OFYnSP7tsPz5zl4t/pO/G4/Fm9PH4QZof5Sh0VERASgeXmKxbbYUdPV5Z8EAJR7BEociXUaEDoG7Z7dg8tB01FZo8MLyQfwwTfrUVnSNpbKISIi28HEzgaUlVWgXDgDHXpLHYrV8pV7YdXDw/BcRG+0l2lx96nnUfT+SFw4ukvq0IiIiJqMiZ0NeEs3GwOq/gPd0AekDsWq2dvJ8ExELyTd1R11Mkd01uWi/ZqpOPzT+wBHLBARkRVgYmflqmrrkF1UAQE7KPx8bvwEuqGQ8NFwmL8N6c7D4SyrwcCM15H3Zi8c+jAKB394Bxcua8GhqUREZIksbrkTap5zl8tRpxNwd3ZARw/bWcJFap06+cF3wUZs/r/XMObscnTU5aNjUSqKCnchZE8fdPJsh9Du3rjLNQPd/bui++AxcHThdm5ERCQtJnZWrvjAz9jotASH242ETHaL1OHYFAcHe0x85C1cyn8O6gNbUZm5A7maMtjV2CO3uBK/HrqIl5zfRteDl1Hzqz1OOvWCpuNwuPePQFDoRDi7uEn9XyAiojaGiZ2Vq754GKF22Shz7Ct1KDarUwdfdIq4C4i4CwBwR3UtDp7XYr/6Ii6oBsKx/CA6yorQu+Y4cOE4cOErVG5yxGb3W3Ay/N8Y3dMXA7p4wd5OJvH/hIiIbB0TOytnX5gJAKj1DpI4krajnZMDRih8MULhC0RsgK5OhzNZJ5B7cDNkZ/6GongvOsiKcFZbi/jfjwMA2rvo8In7KtR1H4OuIVPQXdEHMhkTPSIiMi4mdlbOqywLAODkxxY7qdjZ26FHz37o0bMfgCchdDqcOaGCx/kKROS4Yo/6MnpVH8CIUiVwRAkceR0HHIfA8dal6B88SurwiYjIhjCxs2JCp0Pn2vMAAO/u3CPWUsjs7NCjXxh69AOiAdTW6XDyuB/S9lyCPHcHFFXHMaTmAOp+vBU7tk5Fz1lx6NSZO10QEVHrcbkTK1aQdx6eKINOyNA5sL/U4dA1ONjbof+AIQh/5F30emk3imLScMBzPOxlAqM1G+C6PBxf/roNlTV1UodKRERWjomdFctTHwYAXLTrCBdXzsC0Fu279sKQ539E5m1roXYIgkrXC29sK8bEd7fit0MXuUYeERG1GLtirVhuUTHsdQEodeuGrlIHQ80WFH4LRMhEHN93Ap035+KCpgKvrP4L3vLV6DDt3+jZP0TqEImIyMqwxc6K7RSDMbk6HhsHvCN1KNRCMnsH3DpsADa/cDOemdgLLzqtw8jKbei+JgLbP5mLwoI8qUMkIiIrwsTOimXmlwIAgjpwxwNr187JAc9F9saEh17HIbdRcJTVYUzBWtR8MhwHtv8qdXhERGQlmNhZMXVefWKn6MDxdbbCTzEQgxZsxPGIr5Bt1xWdUIiBqfdhx8oFqK2pkTo8IiKycEzsrFRlRRl+Kb8XPzu9hJ5eUkdDxtZ3zHR0eGE39nnfWj979nwS1n34HHK1lVKHRkREFoyJnZXKyToCT1kFutvlwdfbW+pwyARc3DwR+sx3UIXG46TohrcLxuLWj7bhzxMcd0dERI1jYmelNGePAAAuOgRAZsfLaMtCpj4Gxyd2IKBLZxSWVePhL/fi5/97FzXVbL0jIqKGmBFYqarcEwCAYrce0gZCZhHY0RPr5o/CgyO74177LZiq/jeyEsYi9+xxqUMjIiILwsTOSjkWnQYA1Pr0lDgSMhcXR3v8+46BmDE2FFq4oXftCbh9OQ4H/1gldWhERGQhmNhZKa/yMwAAZ79+0gZCZhd6y30ofegvHHXoDw9UYPCuZ6D65H5UlBRJHRoREUmMiZ0VEjodOtecBwD4duMesW1R1x690XPhVmzzmw2dkCGk4GeUvBeKozt/kTo0IiKSEBM7K5RXVISduv44JbrCL5Atdm2Vk5MTbnrsIxyI+Brn4Yf2ukK8/PNpvPLjIZRUcs07IqK2iHvFWqHMIoGYmhfQw7cd/nJpJ3U4JLHgm6aiZOhYfLPuW2Qc74aM3eew5Vge3o/0wPCwYVKHR0REZsQWOyuUWVAGgFuJ0f94eHjhwYfm49u5w9HNpx1citUY+vOtOPjuVGjzsqUOj4iIzISJnRU6dzEfgOBWYnSVUUHt8fuzN+GZ3hrYQYfBJX8Dn43AwV8+B4SQOjwiIjIxJnZWaOqJWBx0noOxdXukDoUsUDsnB9zx8AKcmv4zTtoFwQulGJy+CEeWTcLlC5lSh0dERCbExM4Kta86B09ZBXw7dpE6FLJg/YNHo1vsLmzt9jiqhCMGlO+FW9JwbF/5Ii6XVkkdHhERmQATOytTUVYCP10+AMBPMVDiaMjSuTg74+ZH4nB25h845DAQLrIabM0qw5j4P/HmL0dxqZjbkhER2RLOirUyOeojCJIJaOAO7/adpQ6HrETvAaHQ9d2G9K0/4cARd1RcqMZ/tmfh4u4UPNTxFPynvYIuPfpIHSYREbUSEzsrU3TuCAAg1zEAcjs2uFLT2dnbIWzCnVgzXmDbqQJ8svkUnrqYjH6F51Dz5a/Y430L/G5/Gd17siWYiMhaMTOwMjWXTgAAit0CJY6ErJVMJsPY3h2wdv4oiCkJOOQcAkdZHYZrfkPXr2/C7veiceqoSuowiYioBZjYWRnHotMAgDqfnhJHQrag/8gpGLT4T5y6fT0OuQ6Dg0yHEcWb0GvteKxNmIe16dkor66VOkwiImoidsVaGVWdAsV1l+HpHyJ1KGRDeoVNBMImIuvA3yjdFIcBpbuQqumC1JSDePPno7hnkCuiBsrRu+9gqUMlIqLrYGJnZT4uj0RJzXhsGjBW6lDIBgUOGQsMGYvL508h9KQOJ/fl4Ozlcrjt/xK9D69HhmMwSgc+gODIe+HezlXqcImI6ApM7KxIZU0dSirru8U6ebhIHA3ZMl//XnjMH4gZ1xu71Zch2/B/0GllCK7JADIyUKB6A2kdp8Jvwjz07TsIMplM6pCJiAgcY2dV8jWl8EQZnBxk8HRlTk6mZ2cnw6ie7THy+TXQzt2LjO4Po1AmR3uZFuPzv0G/NTdh55Ip+HrXGRRX1kgdLhFRm8fEzoqUnUnDQZe5SHV8kS0kZHbe/r0R/PAH8H75FE7e/CmOtwsDAJytcMGrPx3B8Lc3Y8Ha/Th8IA2C+9ISEUmCzT5WpLwwBwBQae8hcSTUlskcnNB7/P3A+PuhzTkN+yOX0OtQLU7lleJUxlYMPPovHN/QG5d7z8SASY9A7u0rdchERG0GEzsrUqO5CAAod24vcSRE9by69MSsLj0xM0Jg39kinPl9H2ou2qNv3Ung2FsoP7oMe+Tj4T7iYfQfPgkyLqpNRGRSfJe1IrqSSwCAahcmdmRZZDIZwnr4IOqxf6HiqcNI7/08ztn5o52sCsO1v2PAH7OQ/dZAfPfHdhSWVUsdLhGRzWJiZ0Xsy+oTO527n8SREF2bZ/suCLv3NQS8cginbk9BunwKyoUz7Osq8fKfRRi+RIknv1VBlb4LuhomeURExsSuWCviVFkAALD36CRxJEQ3JrOzQ6+wSCAsEiXaQhzcswcDTnjg0AUtfj+YjddOPAXNL8A5/6kIiIiBb48hUodMRGT1mNhZEbfq+sTOybuLxJEQNY+Hlw+mTJqCKZOAwxe02Lztb8iOAT7Qwuf8N8Cqb6B27oeawfci6Ob74eDuI3XIRERWiV2xVmS7GIxNdaFw7aiQOhSiFhvY1QvP3D0V7RadwPawj7HHaQRqhR0UVcfQJ+1V6N7phR+/TIDqXBGXTSEiaiaLbLFTKpUAAI1Gg7S0NMyaNQshIfV7o6rVaqSkpEChUECtViMmJgZyufyGx6ydTifwVmU06nQCu7txv06yfu1cXTHm9geB2x/EaXUm1Jv/g8ALG9AL2Ug66YajJ3YiwMcVj/YsQ0R3e/gH3wLY2UsdNhGRRbPIxC46OhqbN29GREQECgsLER0djczMTMOxffv2AahP5ObOnYvk5OQbHrN2heXVqNMJyGSAr7uT1OEQGVVPRRB6Kpagpu4t7Enfhd5qV5w5lofswgp4ZCTC/+A2XP7FB9ldp8Bv9P3w6zsS4CLdRERXscjELjk52dBCB6BBi9w/KRQKQ+ve9Y7ZggJNMTxRBkdXORzt2YNOtsnR3g7Dh4/G8OFARXUdlMcuwWlLZxRp3OGLQvieXw2sWY0L9l2R13USOgyPhv+A0VKHTURkMSwysYuIiDD8nJycjHnz5gGo76L18Wk4qNrHxwcqlQrp6enXPPbPJNFaVZ/+Gwdd5uKkrCeASVKHQ2Ryrk72mDqkCzBkBbQlZdi2dR0cjqRgaPkudK27gK7nvsTxM0qM9/wEE/t2RET/TgjrJoeDA7triajtssjEDgBUKhXWrFmDyMhIxMTEAKgfc9eYwsLC6x67UlVVFaqqqgz3i4uLWx2vqVUW/Xc7MUcviSMhMj8vDzfc9N/xeHkFBUjbuhYup3/D1lJ/ZBWUYeX2LKzefgybXRbirNcw2PWfin6jp8HT3V3q0ImIzMpiE7uQkBAoFArExsYiJSUFUVFR1zz3WkndtY7FxcXhjTfeMEKU5lNXnAsAqHTuIHEkRNLq2L49Os54HMDj6FdZgwGnCqA8dgk49jO6iAJ00f4G7PoNpTufw652w1EZNAVBo6ajW5fOUodORGRyFpvYAfVj66KjoxEZGYmioiLI5fKrWuAKCwshl8uve+xKixcvxvPPP2+4X1xcjICAAJP8H4xFVlq/60Rdu44SR0JkOTxcHHHroM64dVBn1NUOwPG0YJTt/wHd8v5EB1zGyIqtwOGtqD70Mv7d7gU4Dr4LEf06IaSbN+ztOPmCiGyPxSV2SqUS0dHRKCoqAlA/CQKonxwRERGBxMTEq54TFhYGhUJxzWNXcnZ2hrOzs5EjNy3HinwAgIy7ThA1yt7BEX1H3g6MvB3Q6ZBzdAfy01LQ/sJmdK3NxmaNH85uVSNxqxpTXQ9hSvt8uA2ehpCwkfBw5UxzIrINFpfY+fj4NJg8oVKpIJfLG50AoVarERYWZmixu9YxW+BaVb/rhKMX94kluiE7O3QZeBO6DLwJAFB88RReyHPD5mOX8NeJfNxem4pb8tOBzStxVtkJ2zzGQDZgOsLHRKK9h6vEwRMRtZzFJXYhISGYNWsWkpKSAACpqamGtemA+lmysbGxCA8PR1paWoN16q53zNp51NZ3M7v6dJU4EiLr49m5F6Z1BqYN6YLaOh3O/JmNU4ed0V2zF91ll9C9dB2wZx1ydvviV4/xKLnpVUwe1AXydmzJIyLrIhPcswfFxcXw8vKCVquFp6en1OE06svX7kNn3SX0f+gTdAvqK3U4RLahqhSX9m9EsWoduub9hXaiAvt0vTCj+g042Mkwpld7zAqqwejwcHiyu5aIJNKcPMXiWuzoamVVtXij6l4AwGH/nhJHQ2RDnN3RaXg0Og2PBmoqkJfxK3Kyy9E32wPHc0uw/4QaK848jgubO2CbfALahURj+Iib0M7ZUerIiYgaxcTOCuSX1K+55+poDzcnLr5KZBKOrug4LApThwFTAZzOK8WBv3+A7rA9eiAXPbTfAn9+i9Nb/HGq0xT4jXkAQwcNhoxbmxGRBeHeVFagQKOFJ0rR0cOJHyJEZtKzoztmRD0Ap8VqXIj4BKe8b0YVHNFTdh5T8lYgeP1YvBH3Fj5UnkJ2YbnU4RIRAWCLnVWQnfwDB12exaGaIQAmSB0OUZsic/ZA1zEPAGMegKjQQL3te+gOrEH30gP4uTgIl5Un8b7yJGK6nMGEQGcMnjAL7dw8pA6biNooJnZWoEZ7sf5fZ24nRiQlmascikmPAZMeQ7k2H6+oq5Cy7zx2Zl7GhIKvMaLwGErTX0Ga9zi4h92NPiNug50Dx+MRkfkwsbMCoqR+O7FqV+46QWQp2nl1wJ3BwJ3B/jhfWIaLPyhx8XwBOiMf4ZqNgHIjCpVeOOM3CR1HPwD/QTdLHTIRtQEcY2cF7Mvrd52AG3edILJE/j5uCH/0ffi9egLHp6zBbu87UCQ84AMtQnKTkbn2FdzxyXZ8tfMMCsuqpQ6XiGwYW+ysgEtlfWJn58ldJ4gsmczOHn2HTwaGT0ZlZSX2/v0Dag+kYJ22Pw6c1+LAeS1W/rIN37u9g7Je09D95gfh3KmX1GETkQ1hYmcF3GrqtxNz9u4scSRE1FQuLi4YNukeYNI96F1aheADOVivuoARub+ga80Z4OhHwNGPcMGlFyp73gr/kdFw7jIQ4Mx3ImoFJnZWwKuuCADg7svtxIisUXt3Zzw8OhAPjw5E5rlA/Lq1J3zVGxCmO4iulaeAwx8Chz9EnmNXHL3pM4QNHwN3Z749E1Hz8Z3DwtXV6fBr3TB0QhFCO3WXOhwiaqWgbl0R9MAL0Omex75jp3Bhz3q0z96EcN0BeFXn4YnfClDzRyrG9GqP2R1OIrh7e3j2mwDYc3YtEd0Y94qFZe8Vm1dciWFLNsNOBpx6+1bY27GbhsjW6HQCh7Mu4NC+bfjPuc5QF5QBAH5xegkD7c6gVOaO3E5j4TbwVviF3AZZOx+JIyYic5Jkr9gzZ84gOTkZqampKCoqMjzu4+ODyMhIREVFoUePHsaqrs3I++92Yr7uzkzqiGyUnZ0Mg4P8MTjoHtwrBE7nleKPQ+eRndYXnSoL0QHF6Jn7G5D7G+qUT+Ncu4Eo63UHAm55Bl7t2JJHRP9jlMRu0aJFkMlkmDlzJhYsWHDV8YyMDCxfvhwymQxxcXHGqLLNKCwshBdK0dGdK9kTtQUymQy9OnmgV6d+QMQaZBeU4NfdqRAnf0cv7U70kWUjsPwgflS5Y9refhgSIMfYnu1xu9tRKMImwd7ZTer/AhFJqNVdscuWLUNMTAy8vG68K4JWq8XSpUstLrmz5K7Yves+wLBDryHDdQSCY/+QOhwiklBlTR32Hz6EwoxfsLlAjnWFgQCAvrJz+N15EargiFPtglEZGImA4dPRqVtviSMmImNoTp7CMXaw7MRu16pFGHnmc+yV34phz34ndThEZEFyNBXYdiofeRm/4a6cd9AV+Q2Oq+26I6fjzXAMexBDhoTAxdFeokiJqDUkGWNHpmFXegkAUOfG7cSIqKEuclfMCu8GhD+G2tq5OHI4HYUZP8M3Zwv6VB+FQncWitz/wwPru2DPjwUYHuiDSd3tMaJ3F/QM6AwZ18wjsjlM7CycY0X94sR2Htx1goiuzcHBHgOGDgeGDgcAaC/nQr1rA8TpVJwrD0Z1cR22nSrATVmr0WPb70izG4BLXSLQIfxOhAwcCCcH7jBJZAuMntgtW7YMa9euRVpaGgBg3bp1CA0N5YzYFmpXXZ/YOXoxsSOipvPy9UPw7TEAYvCXEMjML8XWkwUI3V4Ax8o6DBMHgQsHgQvv4fAPQVC3Hwf3IXcgNGwkvNo5SR0+EbWQ0RM7hUKBtWvXGu7PmDED69evZ2LXQh61lwEA7Xy46wQRtYxMJkPPjh7o2dEDGLMJVZdO4tyuFDie/A3dyg9joCwTAy9nIm/zOoT9/imGKzogsn8nRPTvhK5yV6nDJ6JmMHrbe0hICDIyMgAAjz32GHr16mVovaPmETodfHT1awJ6dvCXOBoishXOnXqj1/SX0GPhduD5Ezg7eilOy0dju/NNqNHJsP10Ad7YcAia94ZjY9ws/PzDt8guKJY6bCJqglbPiu3VqxdCQkIQGRmJsLAwDB06FMXFxUhPT0dmZibmzp1rrFhNxlJnxZaUlWN93IPoKNNg3KIf4OrGteyIyLSyCsqQejQXZ/f/ibcLXzA8fll4YJ/raOj63YHgsVPRyZvvR0TmYtZZsRMnTkR0dDRSU1OxfPlyZGRkICQkBACwePHi1hbfpuWV6/Ba7cPwcHbAISZ1RGQGge3dEDM2CBgVgOJjXZG3NxkdLyjhq9NiUuXvQMbvKFQtwAfeT8F3xD24daAffN2dpQ6biP7LJOvYZWRkQKlUIjU1Fenp6YiMjMSaNWuMXY3RWGqL3W71ZdydtBuK9m7Y8uI4qcMhoraqrhZFx7Ygb9ca+OWkwktocVfV61CJ3rC3k2FmQDGmdNNhyM3T4eXeTupoiWyO5OvYBQcHIzg42LC9WFZWlimqsXmFhZfhhVJ0cPeWOhQiasvsHeA9cBK8B04C6mqRf/QvTCnsgdpDuTh4XotBF9Zg7KUtKNq7ANs9x8J56AwMGjMVLs5sySMyt1a12Gm1WhQVFTVrxmtxcf0AXEtqGbPYFrvV/8aIU+8i3WMCwl74QepwiIiucvZyGfJ++heCslPgIzSGxwvhgZPe4+EeGo1+I2+HvT3XySNqqebkKa16pXl5eSE1NRXr169v0vnr1q3D2rVrLSp5smTiv7tO1Lp2kDgSIqLGdfd1Q/gj78L7lUycvX0NVB3vRBE84YMSjCjaAI9NL2DU0s1465ejOHxBC+5iSWRare6KnTt3LjIyMjBz5kwEBQUhPDwcCoUCcrkcGo0GarUae/fuRVZWFubNm4cZM2YYI+42waE8DwAg3DtJHAkR0fXJ7B3QPWwyuodNhq62Bkd3/4ZSVTJ2FXrgUkk1Vm7PwlfbT2FTu1eg6TQSHUbeA/+BNwN2bMkjMiajjLELDg7G2rVrodVqsXbtWuzduxcajQZyuRxBQUGYN28eAgMDjVFVm+JSWb/rhIMnd50gIuth5+CI/mPuAMbcgSG1deh3Ih8/7c9BzfGNCNSdAy6eA9avQd6PHZDTdTK6jL4XHfuMBLh3LVGrmWRWrLWx1DF2Wf8ejEDdWRwcvwqDb75T6nCIiFqlpLQUB//+EbIj6zGodCc8ZBWGY5fs/XBg6OsIHncXOnhw0gXRP0k+K5aMw1OnAQC4+XSWNhAiIiPwcHfH6FvvB269H4XaYmz9KwUOx39EcPludKrLxbKdxcjcqcSooPa4T1GG0QpveHYfypY8omYw2eCGzZs3IywsDPPnz8eZM2cA1E+emD9/vqmqtCm6ujp4iRIAgKcvu2KJyLb4eHni5jsewejYDSh+6jg2Df0Ibv4DoRPA9tMFqP0zHp6rxiHn7UE4vDoW2rMHpQ6ZyCqYrMUuNTUVycnJUKvVWLhwIV566SXMmDEDixYtMlWVNqW4rBw/102At6wEkT4dpQ6HiMhk/Nr7wG/6bEwCcO5yOX4+mIN2O11QVe2ILrXZ6HJqOXBqOc47doemx20IuOk+eHUbKHXYRBbJZIldeHg4AgMDERgYiIkTJ2LZsmUQQkAul5uqSptSWCXDq7WPwMPZAbe7cCV3Imobuvm2wxPjewLjf0LWhYs49XcyPNU/I7haBf+as/A/9RmOnvgVT3ZfgdsGdcYtA/zg7eYkddhEFsMoXbH79+9vdC27d955x/DzggULUFhYiMzMTGNUafMKy6oBAD7ufMMiorYpsGtnTLrnaYx4ORUX5x6Ess8b2OsQhh/qRmPbqQIsWn8IN7/9M04tGYH9370GzYVTUodMJLlWt9itWLEC8+bNAwB4e3tDpVKhe/fumDFjBjZv3tzg3IkTJ2Lfvn2trbJN0GiL4I1i+LhazixdIiKp9PDvih73PAvgWXQoKIP80EX8evAiel7agV7Vx4ATx4ATH+C0U19oFVOhuPl+eHfuIXHURObX6uVOZs6cibVr1wIAlEolli1bhj/++MMowZmLJS53snfd+xh26HXsdx2JobG/Sx0OEZFFOpedjcxt38FH/TMG1RyCnaz+I00nZDjhPBDqsFcxfNQ4tHfnEipkvcy63El4eLjh54iICMhkMuzfvx9Dhw5tbdFtWl1pPgCg2tlb4kiIiCxXt4AAdLt3IYCFOH9Ojay/v4PvmV/Qv/Yo+lUfwqNbcpH7pxLDAn1wd886jB3cGz7tOSGNbFerx9h5ezdMPCZOnAi1Wt3aYts8WXkhAEDnwsSOiKgp/LspcNP9L6P/K7uQ83AatvR7Ex38g6ATwG51ITz/fBluH/dDevyt2PXzf1BcUix1yERG1+oWu3379mHOnDnGiIX+wb7ycv0Pbu2lDYSIyAp16d4bXbr3xgQA54vKsfFANnps08K5rhZhFTuAfTtQmv4ydnqMgf2QmRh80x1wdWF3LVm/VrfYJSYmwt7eHr169cL8+fOxfv36q1rs9u/f39pq2hznqiIAgJ07Ezsiotbw926HueP6QPFKBs7frcQ+/9m4JOsAd1kFRpWmYviOudgdNxlPf5eB1KOXUF2rkzpkohZrdYtdfHw8YmJikJ6ejtTUVCxZsgQqlQpxcXEICwtDZGQk0tLSsGbNGmPE22a41tYndk6eHAtCRGQUMhn8+4bDv284hO59nD3wFy7v/haBl1KxuXYINhzIwYYDOejuWonXO/6NDqNnY8CgYMi4pRlZkVbPir2WzZs3Q6VSITU1FZs3b0ZdXZ0pqjEKS5wVe/H1nuiMfJy4fT36hE2UOhwiIpsl6mpw8NxlbDhSiF8O5iCy7Be85fglAOCIXR9cCrwDvcfPhr+/v8SRUlvVnDzFZIndPy1btgwLFiwwdTUtZomJ3Rf/ug8dRQGGzvkU/t17Sh0OEVGbUKcTOLp9Axz2fIpepWlwkNV3y1YLe+x3GYbK/lEYMv5ueHm6SxwptSUWl9hlZWUhMDDQ1NW0mKUldhXVdej3r/q16w69PgkeLo4SR0RE1PaUFeYgc8sqeJ5Yhx41pwEAtcIOY2o/x9C+vTAj1B/j+nSAo71RNnEiuqbm5ClG/2tctmxZg7Xt1q1bx/EJzVRYXr+dmJO9HdydTbadLxERXYebTxcMjnoJPV7eh4IHt2J/t4ewyTkSuXUe+P1ILub+Xzo2vjUDW1csQNbpY1KHSwTACJMnrqRQKAw7UQDAjBkzsH79evTo0aPJZahUKiiVSgBAWloaVqxYAblcDgBQq9VISUmBQqGAWq1GTExMk45ZkyJNMbxRDOd2vkyKiYgsQHvFULRXfIihAH7LKcZ61XnszVBhWt0W4MIW4JskHHQcjNJ+MzEw4n54enINUpKG0RO7kJAQZGRkIDAwEI899hg2b96MqKgo3HXXXU0uQ6lUYuHChQCAhISEBnvMRkdHG35Wq9WYO3cukpOTb3jMmujObEOGy2PI1CkATJI6HCIi+of+XTzRv0t/1EwMwOEtJXA49D36Vu7H4JqDwMGDKDvwJvZ4jYPz6McxOPxm2NnxCzqZT6vH2PXq1QshISGIjIxEWFgYhg4diuLiYqSnpyMzMxNz585tVnkqlQoTJ05EUVH9ch9qtRpBQUHIzMwE0DB5A+p3vigqKoJarb7msRuxtDF26Rs+R5hqEQ47B2Pg4r+kDoeIiG7g8vlTyNryH3Q+8wO66nIBAM9Vz8dez0mICvVHdGhX+Pu4SRwlWSuzjrGbOHEiYmJicPr0acyZMwf29vaYOHEiYmNj4evr2+zyQkJCsGLFCsN9jUYDAPDx8YFSqYSPj0+D8318fAxdt9c6Zm1qS+r3ia1yYlM+EZE18PXvhbAHl6LLK8dw6vYU7PGdjp1OI3FBU4EPN5/CqvcW4HDcOGT8ugJVlWVSh0s2rNVdscuXLwdQn+DpZWRkQKlUYvny5ZgzZw4iIyObtUBxVFSU4ec1a9YgIiICcrnckORdqbCw8LrHrlRVVYWqqirD/eJiy9ovUJTXbydW6+JzgzOJiMiSyOzs0CssEgiLxNaaOvxxJBdr07MRfW4r+lSdB9IyUJz2Gg50mIyOY+egx6BRUodMNsYkUy6Dg4MRHBxsWLsuKyurReVoNBqkpKQ06F691nnNORYXF4c33nijRTGZg31FfWKnc21+iycREVkGF0d73DG0K+4Y2hUXstZj5+YkBJ7/EZ1RgGH564B166D+SYHLfe9Hv6nPcBUEMgqzLL7T0jXsYmNjkZqaapjZKpfLr2qBKywshFwuv+6xKy1evBhardZwy87OblF8puJYVf//4D6xRES2oWtgH4ya8y46vnIC+8d9iTT3cagWDlDUqpF7YBOGva3EwpQDUJ0rgtBxr1pqOYtdVTEhIQGxsbFQKBTQaDTQaDSIiIho9NywsLDrHruSs7MzPD09G9wsiUu1BgDg6NFB2kCIiMio7B0cMHTcXQh/8ScUP3EE23stxCb36SivrsPa9PNY8Hkyct7qj/RvXkVxnmU1OpB1sMh235SUFISEhBiSurVr1za6Jp1arUZYWJihxe5ax6zNLtlQZNZ5IKA9txIjIrJV7Tv6Ycx9L2O0EHjgTBG+33sO/Y58h666i+h6+iPUnvoEBz1GwWnYw+gzejpk9hb5kU0WxixbijWHfnmTf5LL5Q2WP0lMTER4eDjS0tKwePHiBgsUX+vY9VjacifB/96EovIabHpuLHp38pA6HCIiMhOtRoNDqV/B+/h3GFD3v90s8mS+yO5+FwKnLoKPL4fptDUWt1espbOkxK5OJ9Dz5d8gBJD+SgTauztLGg8REZmfEAInDqUhf+sKDCzYCG9ZCQqFO26q/QzjBgTgvmHdMDKIuxO1Fc3JU9iua2E0peXwFsXQwB1yV0epwyEiIgnIZDL0HTwMfQcPQ2lZGXakrsb+02dRVuCAXw9exG8HL2CdWzx03UYh6JYn4O3XXeqQyUIwsbMwpReOQeXyGArhAQf781KHQ0REEnN3c8Po6TEYDWBcjhbf7T2Hixl/IKTuEJB1CLWfr8ABj1FwGj4HfUdPg8zOXuqQSUJM7CxMaVEeAKBM5gEuT0xERP80oIsX3po+CGWRCuxMdYfn4a8xsPYwhpRuBzZvR84WP5xXzETvyY9D3qGz1OGSBJjYWZhq7SUAQKmDXNpAiIjIYrm5uWHU9MeA6Y/h1OE05P25HIMKfkMX5KJL5ke470M5Og6aiPtHdEdINznH4rUhTOwsTHVJAQCg0pH7xBIR0Y31GhiOXgPDUVpajN1/fImqE0rsqOwDZFzADxkXsNj7TwQr/DBg8hy4ecilDpdMjImdhdGV1Sd2Nc5M7IiIqOnc3T0xYsYzAJ7BhvMafLP7LDbtV+Oe8tXwPFKO0sPvYE/H2+A38XF07xsqdbhkIha780RbZVden9jVcZ9YIiJqocH+ciREDcFfC8bjSO8ncE7WBe6yCgzPT0H37yfgyJKx2LfxS9RUV0kdKhkZEzsLY19ZvxCzzI0LUBIRUevIveQYed8r8H/lCA5N+AoZ7UajTsgwoPoAQvc8i6+WPo73Uk/iUnGl1KGSkbAr1sIctu+HnLpyeLfvJ3UoRERkI+zs7TBo7HRg7HTkZp/GmT8+Qc/zP+D/Kkbj3OZT+OzP03i0dwWmD2qPviFjOdnCijGxszBrZZNxtGYUVvUIlzoUIiKyQX4BPeE35wNUVy/Di8fy8X87zyD9bBGCMz9HvzNpOLaxL4oHP4qhtzwIZ2cXqcOlZmJiZ2EKy6oBAL5u3EqMiIhMx8nJEdOGdMG0IV1w+HwRylO+QXWRA/rVHgdUC5CnisOpgGj0uu0pdPQLkDpcaiKOsbMgQqeDKC+AHXTwduN2YkREZB4D/b0x7NnvUPr4fuzpPg8FkKMjCjE6OxHyz4di48dPYd/ZInB7ecvHxM6ClJVqsMchBqedH4CvU53U4RARURvj0ykAwx9OgNdLJ5ARvgynHPvASVaLXbkyzPh8J6Z/thM/Z5xDTU2N1KHSNTCxsyDagvpdJ6rgCFc3D4mjISKitsrRyQXBt8Wg18t7kXnHT9ANugdODnY4kK3B1pRPcOntgdi++m1otUVSh0pXYGJnQcqKcgEAWpmXxJEQERHVCwoeh7fuHomdiybg2YheuNtxG/yRizGnEoD3BmD754/j/JmTUodJ/8XEzoJU/Hef2BJ7JnZERGRZ2rs749mI3hi44A/sG/gKztt1gZesDGMurYbfl8Oxd9l0HN67hePwJMbEzoJUafMBABWOcmkDISIiugYXN0+ERi1A11cO48jNSTjqPBQOMh2Glf2Jop9fxbRPdmDDgRzU1umkDrVN4nInFkS/T2y1E/eJJSIiyyazs8eA8bOA8bNw7uhuFKS+j1UFwTh0QYunv8vACnkVFgVmIvj2x9CO48bNhomdJSm7DACo5T6xRERkRbr1H4Fu/dcgobQK3+w+h692ncGk0rUYfexHFB77CBkB96DP7c+ifacuUodq89gVa0HU9j3wU90oFPsMkjoUIiKiZvN1d8YzEb2wI3YCwoYOxUVZB/igGKOzE+H22RDs+vhhnDt9WOowbRoTOwuyxXEcnql5EgU9pkkdChERUYu5OtljZNRz6PjyMewf9g4yHYLgKqvGyMvr4f/1GOx+Zwb2nSmUOkybxMTOghSV128n5uPmJHEkRERErWfv4Iiht86F4qV0HIv8Bgddh8FOJnBaIzBj+S7MXL4Lf57Ig9BxooWxcIydBaktLYA9mNgREZFtkdnZod/oqcDoqTh7NA3n9hfB8Ugt9p4pRPmqdHRttwra0CcRMukB2DswNWkNmeCCMyguLoaXlxe0Wi08PT0li0P7ehd4iHJk3/sXuvcZKlkcREREpparrcTKbWoMTXsRt8t2AADOybogZ8BjGHp7DFxcXCWO0HI0J09hV6yFqK2phhfKYCcT8PTpJHU4REREJuXn5YJXbu+PMU/+B3sC5qAYbugmcjDi8L+gXdofO795A6UlGqnDtDpM7CyE5nL9rhM6IYOndweJoyEiIjIPeYfOGP7ou3B44Qj29HoO+fBGJxRi1On3cP7dsXjn9+MoLKuWOkyrwcTOQpQW1Sd2Wpk7xxcQEVGb087DG8Pvex1ei44hfdBruCDzw9qasfjkr0yMXroFS345hPzcbKnDtHhM7CxEWVEeAKDYjvvEEhFR2+Xk4oqwGc+j88tHMHzWAgzq6oWKmjpc3Pk93D8Pwa5P5yL3vFrqMC0Wm4YsRLW2vsWu3J6JHRERkZ2DA24Z3B2TBnXDXyfzIfthJVwrqzEyfy2qV6zH7va3I+D2l9A1sI/UoVoUtthZiOqS+n1iKx3l0gZCRERkQWQyGcb36YibF67DkQmrcNxpAJxktRhx+Ud0XDUSez64G2dPHpQ6TIvBxM5C5Np1wk91o3DeK0TqUIiIiCyOzM4OA8beib4v7cTxyd/hsEsIHGV1GK7ZiEvfzMUT36pwIrdE6jAlx65YC7HfORRf1vji8e5BmCp1MERERBas74hbgRG34rRqC8qVS/GpZhy2HryIXw9eRFR/DzwR7oHAfsFShykJJnYWQj+Vm7tOEBERNU3PkAlAyAQsulgM9y2n8euhi/A/+SW6Z/6ANM8J8L3tX1D0HSp1mGbFrlgLUVFSBHvUwbsdEzsiIqLm6NfZE5/eF4Lfn70Jw73LYScTCC/ZjO7fjcPed2dAfXy/1CGaDRM7C7Ew90VkujyAoOI9UodCRERklfr6eWLkC2uQFbURB9xGw14mMKxE+d8ELwrq4wekDtHkmNhZCPc6LQCgnVd7iSMhIiKyboEDR2HIgt+QNeM3HHAb9d8ELxX7Vr+CJ75V4eQl251kwTF2lkAIyIUWkAHu3twnloiIyBgCB40GBm1E1qHtKP59CT4pnI6zBy/it0MXMbu/PR4dE4gAG1sHjy12FqCirAQushoAgKcvEzsiIiJjChw0BkMW/IbEZ6IxeYAfhABCT76PjqtGYcfHj+DihbNSh2g0TOwsgLYwFwBQJRzh5s6dJ4iIiEyhr58nlj8Qil/mD4PCrQrOslqMvrwO8qQwbP/8ceRfypE6xFZjYmcBSgrrtxPTyjwgs+MlISIiMqWB3TtgwKK/cOKW1Tjp2BeusmqMubQarp+FYFvS8ygqvCx1iC3GLMICVGjqE7sS7hNLRERkNn1G3o7eL+3GsXErkOWggLusAjfl/AdffPgq3ks9ieLKGqlDbDZOnrAAhToP/Fg3Cvbu/giSOhgiIqK2RCZDv3EzIcbOwGHl/0HsXYn/lE5E+eZT+L9dZ7BwhDvuGhsCFxcXqSNtErbYWYBMp954tuZJbOr6uNShEBERtUkyO3sMnPQwBry0He/eNwo9O7pDW16FwdvnIy9+KHb+tAK1tbVSh3lDTOwsQJF+O7F2jhJHQkRE1LbZ2ckwZVBn/P7MTfh0sg+62BWhm7iIURkvInPJcKRvWQeh00kd5jUxsbMApSWa+u3EuE8sERGRRXCwt8Ot40aj3YsHkR74GMrggj660wj7+xEcihuHQ3u3SB1io5jYWYBpWW8i0+UBDC/8WepQiIiI6B9c3OUImx0P3dP7kd75blQLBwyuOYBBv92Jtz7/AkdziqUOsQGLTOxUKhVCQ0OvelytViMhIQEpKSlISEiARqNp0jFL51KjAQA4ucsljYOIiIga5+HTGWHzElE8ZxdU3lOwX9cTK892xG0fb8Oz32dYzAxai5sVm5KSAoVCAZVKddWx6Oho7Nu3D0B9Ijd37lwkJyff8Jila1erAQA4e3aUNhAiIiK6rvYBvdH+me9x5lIRpm45g58P5OB4bgncnCwjpbKMKP4hKiqq0cfVanWD+wqFAkql8obHrIGnTgsAcPNmYkdERGQNenTyxsf3eGPeWAWqanWwt5NJHRIAC+2KbYxSqYSPj0+Dx3x8fKBSqa57zNLp6urgJUoAAB7efhJHQ0RERM0xsKsXQrt7Sx2GgcW12F3LtcbMFRYWXvdYY6qqqlBVVWW4X1ws3cDHEk0BvGQCAODp20myOIiIiMj6WU2L3bVcb5LEtY7FxcXBy8vLcAsICDBNcE2gvXwRAFAiXOHkbB2rWhMREZFlsprETi6XX9UCV1hYCLlcft1jjVm8eDG0Wq3hlp2dbaqwb6ioEvihbjR2OI6ULAYiIiKyDVaT2EVERDT6eFhY2HWPNcbZ2Rmenp4NblLJkXXCczVPYKXvAsliICIiIttg0WPsNBqNodVNoVA0OKZWqxEWFmZosbvWMUtX8N/txHzduesEERERtY7FJXZKpRKpqakA6sfChYeHG5ZASU5ORmxsLMLDw5GWltZgnbrrHbNkxdoiOKAWvu7OUodCREREVk4mhBBSByG14uJieHl5QavVmr1bds/HD2H45R+wvdt8jHlkqVnrJiIiIsvXnDzFasbY2SrHqssAAId2cmkDISIiIqvHxE5iLtX1s3kduZ0YERERtRITO4m51xYBAFzk3HWCiIiIWoeJncS8dBoAgLsPEzsiIiJqHSZ2EqquqoQXygAAXu27SBwNERERWTsmdhLSXs4FANQKO3h6d5A4GiIiIrJ2FreOXVtSWFaFbXVj4OGgQ6S9vdThEBERkZVjYiehS8IHz9c8jr6+HoiUOhgiIiKyeuyKldDlsioAQHvuOkFERERGwMROQlqtFo6o5T6xREREZBRM7CTU98TnOOXyIGYW/UfqUIiIiMgGMLGTkH1FAQDArp1596clIiIi28TETkJO/90n1t6d24kRERFR6zGxk1C7mvrtxJy8OkkcCREREdkCJnYS8qjVAABc5UzsiIiIqPWY2ElE6HSQCw0AwMOX24kRERFR6zGxk0hZqRYushoAgLxDZ4mjISIiIlvAnSckUqAtwe91Y+FrV4bx7l5Sh0NEREQ2gImdRC5Wu+HFmsegaO+G8VIHQ0RERDaBXbESySupBAB09OR2YkRERGQcTOwkUlRYCCfUoJOni9ShEBERkY1gYieRvic+xUmX2YjWrpI6FCIiIrIRTOwk4lCeV/+vu4/EkRAREZGtYGInEdeq+sTO0Ytr2BEREZFxMLGTiGdN/T6xLj5dJY6EiIiIbAUTO4n46AoBAJ4dAySOhIiIiGwFEzsJlBYXwU1Wv9yJTycmdkRERGQcTOwkUHTpHACgVLjCzUMubTBERERkM7jzhATyywT21I2Fm7MjpkgdDBEREdkMJnYSyEYHvFjzGEYE+DCxIyIiIqNhV6wE8oqrAIC7ThAREZFRMbGTQFHBRTijGn5eTOyIiIjIeJjYSSDy9Ns44fIQxpVulDoUIiIisiFM7CTgUZULAGjny10niIiIyHiY2EmgQ119YufpFyRxJERERGRLmNiZWWlxEbxQBgDo4N9T4miIiIjIljCxM7P886cBAFq4wd3TW+JoiIiIyJYwsTOz4txMAECBfSeJIyEiIiJbw8TOzCrzzwIASpz9JI6EiIiIbA13njCz06ILztbeDA/fEAyVOhgiIiKyKWyxM7M/q/phYe08FPR/SOpQiIiIyMYwsTMzdUEpAEDRwV3iSIiIiMjWMLEzo5qaajhePgUn1CCwvZvU4RAREZGN4Rg7M8o9ewJ/OL2IUuGKdh45UodDRERENoYtdmZUoD4AALjk0Bl29vzVExERkXExuzCjyuz9AIBCjz7SBkJEREQ2yWa6YtVqNVJSUqBQKKBWqxETEwO5XC51WA24FhwGANR1GixxJERERGSLbCaxi46Oxr59+wDUJ3lz585FcnKyxFH9T3VVJRQVBwEA8l7DJY6GiIiIbJFNdMWq1eoG9xUKBZRKpUTRNO7Yrl/hiTIUQI5eQ2+WOhwiIiKyQTaR2CmVSvj4+DR4zMfHByqVSqKIrlZ1YD0AINN3HOwdbKahlIiIiCyITWQYGo2m0ccLCwsbfbyqqgpVVVWG+8XFxaYIy6C2Toc4TQTG1LggMvwek9ZFREREbZdNtNhdy7USvri4OHh5eRluAQEBJo1DJpNhwX1TUT7yBfQPn2DSuoiIiKjtsonETi6XX9U6V1hYeM1ZsYsXL4ZWqzXcsrOzTRqfvZ0Mo3q2x6u394cD168jIiIiE7GJLCMiIqLRx8PCwhp93NnZGZ6eng1uRERERNbOJhI7hULR4L5arUZYWJjFrWNHREREZEo2MXkCAJKTkxEbG4vw8HCkpaVZ1Bp2REREROYgE0IIqYOQWnFxMby8vKDVatktS0RERBalOXmKTXTFEhERERETOyIiIiKbwcSOiIiIyEYwsSMiIiKyEUzsiIiIiGwEEzsiIiIiG2Ez69i1hn7Fl+LiYokjISIiImpIn580ZYU6JnYASkpKAAABAQESR0JERETUuJKSEnh5eV33HC5QDECn0yEnJwceHh6QyWQmqaO4uBgBAQHIzs7mIsgWgtfEsvB6WB5eE8vDa2J5zHFNhBAoKSlBly5dYGd3/VF0bLEDYGdnB39/f7PU5enpyRejheE1sSy8HpaH18Ty8JpYHlNfkxu11Olx8gQRERGRjWBiR0RERGQjmNiZibOzM1577TU4OztLHQr9F6+JZeH1sDy8JpaH18TyWNo14eQJIiIiIhvBFjsiIiIiG8HEjoiIiMhGMLEjIiIishFM7IiIiIhsBBM7IiIiIhvBxI6IiIjIRjCxIyIiIrIRTOyIiIiIbAQTOyIiIiIbwcSOiIiIyEYwsSMiIiKyEUzsiIiIiGyEg9QBWAKdToecnBx4eHhAJpNJHQ4RERGRgRACJSUl6NKlC+zsrt8mx8QOQE5ODgICAqQOg4iIiOiasrOz4e/vf91zmNgB8PDwAFD/C/P09JQ4GiIiIqL/KS4uRkBAgCFfuR4mdoCh+9XT05OJHREREVmkpgwX4+QJIiILVFtbiz/++AMPP/wwfHx8cMstt0AIIXVYRGTh2GJHRGQhdDodtm/fju+//x7JyckoKCgwHNu0aRMOHDiAoUOHShcgEVk8JnZERBISQiA9PR3ff/891qxZgwsXLhiOdejQAdHR0Th06BC2bduGlJQUJnZEdF3siiUikoAQAnFxcejVqxeGDRuG9957DxcuXICnpyceeugh/PHHH8jJycGnn36K+fPnAwCSk5PZHUtE1yUTfJdAcXExvLy8oNVqOXmCiMxi69atGDduHADA1dUV06ZNw913343JkyfDxcWlwbnFxcXo2LEjqqqqcPDgQQwaNEiCiIlIKs3JU9hiR0QkgY0bNwIApk6diry8PHz//feYPn36VUkdUD9j/5ZbbgEApKSkmDVOIrIuFp/YqdVqJCQkICUlBQkJCdBoNNc9X6VSITQ01DzBERG10O+//w4AuPvuu+Hu7n7D86OjowEwsSOi67P4rtjQ0FDs27cPQH2SFxsbi+Tk5EbPTUlJgUKhQGhoaLPGobArlojMKScnB127doVMJkNeXh7at29/w+dotVp06NABNTU1OHLkCPr372+GSInIEthMV6xarW5wX6FQQKlUXvP8qKgohISEmDosIqJW+eOPPwAA4eHhTUrqAMDLywuTJk0CwFY7Iro2i07slEolfHx8Gjzm4+MDlUolUURERK2n74adPHlys57XlrpjLbwzichiWXRid63xdIWFha0qt6qqCsXFxQ1uRETmUFtbi9TUVADNT+ymTZsGBwcHHDp0CCdOnDBFeBbh888/h5+fH7788kupQyGyOhad2F3LjSZQ3EhcXBy8vLwMt4CAAOMERkR0A3v37kVRURG8vb0xbNiwZj3X29sbERERAGy31S4zMxPPPfcc8vLy8Mgjj2DFihVSh0RkVVqU2C1atAgrV66EVqvFpEmTMGvWLKxfv97YsUEul1/VOldYWAi5XN6qchcvXgytVmu4ZWdnt6o8IqKm0nfDTpo0Cfb29s1+flRUFADbTOyEEHjqqadQVVUFX19fAEBMTAySkpIkjozIerQosQsPD8ecOXOQlJSE0NBQrFmzBpcvXzZ2bIZvplcKCwtrVbnOzs7w9PRscCMiMoeWjq/Tmz59Ouzt7bF//36cPn3amKFJ7scff8TGjRvh6OiIHTt24NlnnwUAzJs3D4mJidIGR2QlWpTYeXt7AwDWrl2LWbNmAcBVkxyMQaFQNLivVqsRFhZmaLFTqVRXzZzVa213LRGRseXn5yM9PR0ADAsON5evry8mTJgAwLZa7UpLS/HMM88AABYuXIg+ffrgvffew3PPPQcAeOyxx7B8+XIpQySyCi1K7DIzM7F582ZkZmZi6NChyMrKQlFRkbFjA1C/N2JsbCxSUlKQmJjYYA27uLi4Bm9sSqUSsbGxjR4jIpJaamoqhBAYMmQIOnfu3OJybLE79s0330R2djZ69OiBl156CQAgk8nw7rvv4oUXXgAAzJ8/H5999pmUYRJZvBYtUKzVapGUlISoqCj4+PggLi4O7du3x4svvmiKGE2OCxQTkTk88MAD+Oabb7Bo0SLExcW1uJz8/Hz4+flBp9NBrVYjMDDQiFGa39GjRzFkyBDU1tZiw4YNmDp1aoPjQggsXLgQ77zzDgDgk08+wRNPPCFFqESSMPkCxV5eXliwYAECAwPh5eWFpUuXXnM8HBERATqdzrAwcUvH1+l16NAB48aNA2D9rXZCCDz++OOora3FtGnTrkrqgPqWu4SEBCxYsAAA8OSTT+KTTz4xd6hEVsGhKSetXLnyusc1Gg3WrFmDtLQ0owRFRGRrMjIykJ+fDw8PD4wcObLV5UVFRWHLli1ISUkxJDzW6Ntvv8XWrVvh6uqKDz/88JrnyWQyxMfHw87ODvHx8XjqqacMs2iJ6H+a1GK3fPlyFBUVXfMmhOAq4URE16GfDTtx4kQ4OTm1ury77roLMpkMe/fuxdmzZ1tdnhQ0Go1h/Nwrr7yCHj16XPd8mUyGuLg4LFq0CADw9NNP46OPPjJ1mERWpUktdvHx8Zg4ceJ1z2FXLBG1xl9//YUVK1bghRdesMk9nzdu3AgAmDJlilHK69SpE8aOHYutW7di3bp1eP75541Srjm9+uqruHTpEvr06WNI8G5EJpNhyZIlhiTvmWeegZ+fH2bOnGniaImsQ5Na7G6U1G3ZsgVZWVlGCYiI2p7a2lrMnj0b3377LUaOHIkPP/zQpnoBioqKsGvXLgAtX+akMdY8O1alUhlmuH766adwdnZu8nNlMhnefvttPP300wCA999/3yQxElmjFs2KBYD169cb1pATQiA9PR1r1qwxanDmwlmxRNJKSUlBdHQ0ZDKZIaG7/fbb8eWXX6J9+/YSR9d6+v9fv379cPToUaOVm5OTA39/fwghkJ2dDX9/f6OVbUo6nQ4jR47E3r17cffdd+O7775rUTm5ubno2rUrdDodTp48iV69ehk5UiLLYPJZsYsWLcKmTZuwd+9eFBQUIDMzE/PmzWtRsEREH3zwAQDg5ZdfxieffAJnZ2f88ssvGDJkCP78809pgzOC1u42cS1dunTB6NGjAQDr1q0zatmmtHLlSuzduxceHh549913W1yOn58fJk2aBAD4+uuvjRUekVVrUWIXFBSE5cuXIz4+nquBE1GrpKWlYceOHXB0dMTjjz+OJ554Anv27EHfvn2Rk5ODiRMn4tVXX0Vtba3UobaIEMJkiR1gfd2x+fn5hskP//73v9GlS5dWlffAAw8AAL755hub6r4naqkWJXYKhQJnz55FYGCg1byZEJFl0i9xcffddxt2YxgyZAjS09Px6KOPQgiBt956C+PGjcO5c+ekDLVFDh8+jAsXLsDV1RVjx441evkzZswAAOzYsQM5OTlGL9/YFi1ahKKiIgwePBhPPvlkq8ubPn063N3dkZWVhR07dhghQstVWVmJr776Cj/99JPUoZAFa1Fip9FooFAoUFxcjIKCAtxyyy3coJmImu3ChQuGsbn6Dd/13NzcsHLlSnz33Xfw8PDAjh07MGTIEKxfv16CSFtO31o3fvx4uLi4GL18f39/jBw5EkIIi//d7Ny5E1988QUA4PPPP4eDQ5MWZriudu3aGVotbbU7VqvVYunSpejRowceeughTJ8+HatXr5Y6LLJUwgiUSqXQaDTGKEoSWq1WABBarVbqUIjalJdeekkAEGPHjr3ueZmZmWLYsGECgAAg5s+fL6qqqswUZetMmDBBABAfffSRyep49913BQBx8803m6wOY5gyZYoAIB555BGjlrt582YBQHh5eYmKigqjli2l3NxcsXjxYuHp6Wn429f/7OTkJLZv3y51iGQmzclTjJLYCSFEVlaWsYoyOyZ2ROZXVlYmfH19BQCxfv36G55fXV0tFi5caPiAS0hIMEOUrVNcXCwcHR0FAHHy5EmT1XPmzBkBQMhkMpGbm2uyelqjoqJCuLq6CgDi4MGDRi27rq5O+Pv7CwAiOTnZqGVLQa1Wi8cff1y4uLgY/t779esnVq1aJSorK8Wdd94pAIj27duLzMxMqcMlM2hOntKirtgtW7Y0uK1fv56zYskmbd68GbNnz8bmzZulDsXmrF69GpcvX0aPHj0wbdq0G57v6OiI+Ph4w5plLV0iw5z+/PNP1NTUICgoyKRLcXTv3h3h4eEQQuCHH34wWT2tsXPnTlRUVMDPzw8DBw40atl2dna4//77AVh3d+zhw4dx//33o1evXvjss89QWVmJYcOG4YcffsDhw4cxe/ZsODs74+uvv0ZoaCgKCgpw2223QaPRSB06WZKWZI5BQUFi5syZIjo6WkRHRwtvb28xc+bMlhRlEdhiR1fauXOnGD9+vOHbsr29vfjPf/4jdVg2Q6fTif79+wsA4r333mvWc/Pz84W9vb0AIE6fPm2iCI1j/vz5AoB44oknTF5XQkKCACAmTJhg8rpaYvHixQKAuP/++01S/pEjRwQA4eDgIPLy8kxSh6lUVFSImTNnGt5vAIhJkyaJLVu2CJ1O1+hzLly4YGilnDhxoqiurjZz1GROJu+KTUlJueoxpVLZkqIsAhM70svIyBC33Xab4c3VyclJjBgxwnD/tddeu+YbLTXdpk2bBADh7u7eovG5EydOFABEfHy8CaIzDp1OJ3r06CEAiJ9//tnk9WVmZgoAws7OziLHPIeFhQkA4quvvjJZHSEhIQKA+Pjjj01Wh7HpdDpx7733GrrSo6KiRHp6epOeu3//fuHu7i4AiLlz5/K9yYZJMsZu8+bNxirK7JjY0bFjxxp8Y7a3txePPvqoOHv2rNDpdOLll182HHvooYes8tvx5cuXRWlpqdRhCCGEuPXWWwUA8fTTT7fo+Z9//rkAIMLCwowcmfGcOHHC8OWgpKTELHUGBgYKAGLTpk1mqa+pLl++LGQymQAgzp8/b7J6PvjgAwFADBs2zGR1GNtbb71laGlMTU1t9vN/+eUXYWdnJwCId955xwQRkiUweWK3bNmyBrdFixaJxx57rCVFWQQmdm1XVlaWeOihhwxvjADEPffcI06cOHHVuYmJiYYuwMjISIv9e6mrqxMnT54UycnJ4uWXXxa33Xab6Nq1qwAgunbtKvLz8yWN7/jx44bWiVOnTrWojNzcXMM1s9SJW/okY+LEiWar85577hEAxL///W+z1dkUycnJAoDo37+/Seu5dOmS4TV6/Phxk9ZlDCkpKYb3neXLl7e4HP3fmkwmEz/88IPxAiSL0Zw8pUWLCH3//feYNWuW4b5CocDMmTNbUhTRDZ08eRKff/45du7cic6dO0OhUDS49ejR44brg+l0OhQWFiI3NxcXL15Ebm4udu7cif/85z+oqakBAEybNg1vvvkmBg8e3GgZMTEx8Pf3R3R0NFJTUzF27Fj8+uuv6Nq1q9H/z82RlZWF1NRU7N+/HwcOHMCBAwdQVlbW6LkXLlzAokWLsHLlSjNH+T/6BYmnTp2Knj17tqiMTp06YezYsfjrr7+wbt06vPDCC8YM0Sj069dNmTLFbHWOHDkS3333HXbv3m22OptCqVQCACIiIkxaT8eOHXHLLbfgt99+w9dff4233nrLpPW1hkqlMuya8cwzz7RqAuLTTz+NkydP4rPPPsN9992Hbdu2ISQkxFihkrVpSeZozePpGsMWO8tTW1srfvzxRxEZGdlgQPG1bl26dBFjxowRDz74oIiNjRVz584VU6dOFWFhYcLf39+w5ERjt4iICLF79+4mx5aWliY6deokAIiAgABx+PBhE/4mrm/v3r0NlkTQ31xcXERYWJiYM2eO+OSTT8S2bdvEH3/8YTi+bds2SeK9fPmyaNeunQAgtmzZ0qqyPv30UwFADB8+3EjRGU95ebnhupjz72Pv3r0CgPDx8bGo8VYKhcJsYw2/++47AUB0795d1NXVmby+lrhw4YKhFX3y5Mmipqam1WXW1NSIyZMnG94Ps7OzjRApWQquY9dMUiV2p06dEps2bRInT54UtbW1Zq3bUuXl5YklS5aIbt26GZIQmUwmbrvtNvHNN9+ITz/9VLzwwgvizjvvFEOGDBEeHh5NSvz0N19fXzFw4EAREREhZs+e3eLkQq1Wiz59+hgWRW1tktIS+fn5ht/T4MGDxYIFC8Tq1avFkSNHrvlBMWfOHAFADBw4UJJxgvHx8QKAGDJkSKsTj5ycHMO4rbNnzxopQuP4/fffBQDh7+9v1gSrqqrKkFA2NpxACvpJHQ4ODqK4uNjk9ZWXlxsW8d26davJ62uusrIyw0SSfv36GXWii1arFQMHDhQAxNChQ802tpNMz+iJXUZGxg1vXO6keUpKSoSXl5ch4QgPD7fImWzmoNPpxO7du8UDDzwgnJycDL8THx8fsWDBgusuwKnT6URBQYHYu3ev+P7778WSJUvE008/Ld544w2RmJgoNmzYIPbu3SvOnTtn9J0KLl++LMaMGSMACEdHR7F69Wqjln89tbW1YtKkSQKA6NmzZ5P/dgoKCkT79u0FYP4Ffqurqw3LM3z55ZdGKfOmm24SAMT7779vlPKM5ZlnnhEAxJw5c8xe9+jRo00++7Q5EhMTBQAxZswYs9X5yCOPCADi0UcfNVudTaHT6QyTtHx9fU2yXM+ZM2dEx44dBQBx2223WcyEKWodoyd23t7eYtKkSSIyMlJERkaKsLAwERoaargfFBRkstlpmZmZIj4+XiQnJ4v4+HhRVFRklHP/SYrEbuvWrYaEQJ/M3HrrrW2u5e6nn34SoaGhDVrVwsLCxJdffinKy8ulDu+GKioqRHR0tCF2cyUY//rXvwQA4erqKg4cONCs53755ZcCgGjXrp04c+aMiSK82po1awQA0bFjR6Nt+/TRRx8JAGLUqFFGKc9Y9K2569atM3vdL7zwggBgMRPa9K+P119/3Wx1/vnnnwKo337Lkt5HXnvtNcP7vilbE3ft2mVoue3bt6/Yv3+/yeoi8zB6YpeUlNTgfmPr2DX2mDGEhIQYfs7MzBRRUVFGOfefpEjs3nvvPQFATJ8+vcE4qRdffFHk5OSIDRs2iH/961/i9ddfFwUFBWaLy1wuXrwooqKiDAmRs7OzePDBB8WePXukDq3Z6urqxPPPP2/4v5i6peTXX3811PX11183+/k6nU6MHTtWABB33HGH8QO8hpEjRwqgfi1AYzl//rzhd2HKZTSaIysrSwD1S+ZI0Qqvn2k5dOhQs9d9pdraWuHj4yMAiB07dpit3rq6OsMwhTVr1pit3uvRj/0DYJbFzrdu3Sq6dOlieH/9+OOPLWrcJTWPycfYNfYt1BTr2GVmZjZI1oQQQi6Xt/rcK0mR2N13330CgHjzzTeFEEJ8//331xwX1r59e7Fq1SqbeFHqdDrxxRdfCG9vb8OHX2xsrORLcBiDvqXE3t5e/PrrryapQ61WG3538+fPb3E5hw8fFg4ODgKA+PHHH40YYeN2794tgPo13S5evGjUskeNGiUAiI8++sio5bbUZ599JgCIm266SZL69cmunZ2d5GOs0tPTBQDh4eFh9jGdL730kgAgbr/9drPW25g9e/Y0+PJuLvn5+WLq1KmGz5Jp06bZZENBW2DyxC42NvaqxxYtWtSSoq4rMTFRRERENHhMoVCIffv2tercK0mR2Om7an777TfDY6+//rrhDXngwIFi9uzZhoGwAMS4cePEsWPHjFK/TqcTp06dEt9884148sknxfDhw8XNN98sPv/8c3H58mWj1HGlzMxMERERYfj/hISEiIyMDJPUJYW6ujpx//33G7o5d+3aZdTyKyoqDCvrDxs2TFRWVraqvEWLFgkAolu3biYfh6NfX2327NlGL/v999+XNJG60u233y4AiCVLlkgWg34s459//ilZDEIIERcXZ0gozO3YsWOGL1qXLl0ye/162dnZws/Pz5Bkmnu4jU6nEx999JFhyE/Xrl0l/7ug5jN5YqdSqQz7xc6cOVP07NnTJB/Q8fHxjSZrja3O3ZxzKysrhVarNdyys7PNmtgVFxcbZvNd+YZz+vTpBh+y1dXVYunSpcLV1dXQ4vHqq682e4xSYWGh+P3338Xrr78upkyZInx9fa/ZQujk5CTuuusu8cMPPxhlwkFtba147733DMtcuLi4iISEBKNM8bc01dXVhiUHfHx8xNGjR41W9qOPPmoYdH3u3LlWl1dWVia6d+8uAIiFCxcaIcLGZWdnG1oHVSqV0cs/e/asAOpnT+fk5Bi9/OaoqKgw/J1LOa5JP64tLi5OshiE+N/Wb1K1poaHhwsA4sMPP5Sk/oqKChEcHGyYiW6OWcHXkpGRYWhQkMlk4tVXX7XJ92BbZZblTjQajUhKShJJSUlCrVa3tJjrulaylpyc3Kpz9QNYr7yZK7HTT5zw9/dv8nPUarVhGyb9TMgbbT9TVFQknn32WdG7d+9rJnAjRowQzzzzjPj222/FO++8IwYPHtzgHF9fX/H444+L3bt3t6gr+ODBg2LYsGENWh1butuAtSgpKTH8nwMCAoyyntTKlSsNb8jG3C7q559/FkD9UhSHDh0yWrn/tGDBAgFA3HzzzSYpXwghhg8fLgCITz/91GR1NIV+rcAuXbpIOnTi3XfflaylTK+8vFw4OzsLAEbraWgu/eQaqbae03fLt2/f3iKWBCstLTXMGAYgRo8ebXFLBVHjbGYdu8TExEbHzTWW0DTnXKlb7PTbvzR34LpOpxPJycmic+fOhhfmvffeK3Jzc68699dffzUsgPnPZPC+++4TH330kdizZ881u/L2798vXnjhBUP3gf7Wu3dv8eabb4q9e/eK/fv3i4MHD4rDhw+LY8eOiRMnTohTp06JzMxMkZWVJc6ePSteffVVQ0uNl5eXSEpKsolxgk2Rn59v+Hbcv3//VnVv79u3z/AB+dZbbxkxynp33nmnAOqXozD2gq5///23YYsnU47le+eddwxfHKT07LPPCgDikUcekTSOnTt3CqB+BrJUr7lNmzYZuv6kiiEvL8/wHmTM1vOmqKmpMezdaynjP/W+/fZbwxqgcrncZJMfyXiMntitW7euQWErVqxocFu2bJmYNGlSyyO+hmtNiGhsGZPmnHslc4+x069x1dLuL61WK5566inDXplyuVwsX75c1NXViaKiIvHQQw8ZkrFevXqJdevWtWhyQk1Njfj999/FfffdZ+gKbslt+vTp4sKFCy36v1qzM2fOGGaljR49WpSVlTW7jMuXL4sePXoYxueYYiX9c+fOCTc3NwEYd7ZeTk6O4cvBvffea9IPd/1MVDs7u0a/6JiLPpmX+oOyoqLCsNuKqXpUbkTfUvvQQw9JUr+efszj4sWLzVrv6tWrDa11LXntm1pmZmaD3pT777/fZOOrG3P8+HHx9ttv29Q4a1MyemIXGhraYNZraGioSEhIaHALDQ1tecTXceUSJv/sbt23b1+DxWuvd+71mDux0y/z0dpxH2lpaQ3WgBs2bJghkZDJZOL555832htKcXGxWLVqlYiIiBBdunQRfn5+omPHjqJ9+/bCx8dHyOVy4eHhIdzc3ISrq6twdnYWPXr0EMnJyW2mla4xhw4dEnK5XAAQU6dObdaYlrq6OkP3u0KhEIWFhSaLU9/i5ePjY5QZytXV1YaFcgcNGmSWRVL1q/m3ZjP11vjnDguWsNi4/kPbnAtn/5N+bNk333wjSf16a9euFUD9JCFzbTGm0+nEoEGDBPC/lQ8sUXV1tVi0aJGhkcDPz09s2LDB5PV+//33hi+TAERoaKj4/PPPLeJ1Y6nMMnmiKY8ZQ2Zmpli4cKFITk4WCxcubNACFxUVJeLj45t07vWYO7HTL8/Q2Pi/5qqtrRUffvhhg621evfubdY1o+j6/v77b8NSB4888kiTEt38/HzDcg0uLi4m/1ZbXV1t+CAyRjeivlXay8vLbGMq9duVTZw40Sz1XemTTz4x+VjC5tBfg6eeesrsdefl5Rnej6RsQRWivvVSv8uPuWaD6seuuru7m/QLmbHs2rXL0Npsyta76upqw98lANGnT58Guw25urqK2bNni23btrXpBoHGmGW5kxUrVgitVismTZokZs6cKckK68Zi7sROPxNx586dRivz/PnzIiYmRrz66qsWtdI61fvxxx8N34pfeuklIUT9m9yxY8fEjz/+KJYuXSoefvhhMWrUKMOCrvrbF198YZYYd+zYYajz77//bnE53377raGcn376yYgRXt/p06cFUL+8RV5entnq1dO3ri5dutTsdTdGvyBueHi42evWr8s5ePBgs9fdGP0eybfeeqtZEgZ9a/WCBQtMXpexlJeXiwULFpis9e7ChQuG34u+a7y2tlbk5+eL999/X/Tv37/B+16fPn3EsmXLrrlUTXl5uThz5oxIS0sTv/76q/jyyy/FJ598YrOTQUye2OnHjyQkJBjWtLtydwprYs7Erq6uzjD2xVb/AKlxK1asMLxpKRQKw6Duxm4ymUx0797d7Guh6T8A+/Xr16JxkQcPHjQs9/Hyyy+bIMLr03f/rVixwqz1lpeXG8ahHjx40Kx1X4t+3KGDg4PZv+zpl+Z5/vnnzVrvtRw5csTQMmTqnWH+/vtvAdSvOmCNY4tN0Xr3119/iU6dOgmgfpu3xiZS6XQ6sWvXLvHoo4826KZ1cHAQt912m5g2bZoYMWKEUCgUwt3d/Zrvna6urmLJkiWtXufT0pg8sdOPtwsLCzN0EUk9WLg1zJnYXbp0yfAHaOxN6cnyvfXWWw3ehNzc3ERISIi49957xRtvvCHWrFkj9u/fL9lg64KCAtGhQwcBQHh7e4vvvvuuyc/VaDSiZ8+eAoCYNGmSJPseL1myxFC/OW3cuFEA0s4AvZJOpzNMXtm+fbtZ69Vv57Vx40az1Xsj+r8NLy8vk24/N2XKFAFAxMTEmKwOU7uy9a5z584tar3T6XRi2bJlhpnxgwYNatLQjOLiYpGUlNRgckdjNycnJ+Hv7y9CQkLELbfcYli3UD8k6UZLglkTkyd2SUlJQqlUCm9vbyFE/Rpr5v6GbEzmTOwyMjIEUL8MAbU9Op1OKJVKoVQqRXZ2tsUkAf909OjRBpNyZs2adcNtiOrq6sQdd9whAIju3btLtm3RiRMnDN2x5ozh6aefFgDEnDlzzFZnU0yfPl0AEMuWLTNbnSdPnjR86Jpj0kxT1dTUGD74TdUlu3//fgHUz862hfU6r2y9i46OFl9++aXIyMi4YcOEVqsVd911l+G5DzzwQIu+sB44cEC88847IjExUaxfv15s375dnDx5Umg0mquuoU6nE998842hdVAfszHWEpWayRM7jUYjli1bJrKysoRGoxGxsbFmfeMwNnMmdr/88osAIIKDg01eF1FLVVdXi9dee83wTbtz584Ntr+7kr41xNnZWaSlpZkx0qvpF9k219hEIYTo1auXACDWr19vtjqbYunSpQKAmDFjhtnq1C/KK/Wago05cuSIYU1IU/x93H333YYvQ7aivLxcvPjii4bWu392kQ4ePFg8+OCD4r333hNbtmwxdNkePnzYsDC+o6Oj+Oyzz8z6JVaj0YhnnnnGELObm5tISEiw6l4ysyxQnJCQIGbOnCmEEEKpVJp1n1VjM2dil5iYKACI2267zeR1EbXW3r17Rd++fQ1v5jExMVdtLL9p0ybDG+jKlSslivR/3nzzTQFATJkyxSz1nTp1yvBBZ2nvg/pdbrp27Wq2OvULXptiMW1j0M+e9vT0NGpLzunTpw2vA1tcm23v3r3imWeeEePGjTMs4dTYrVu3boZxtv7+/mL37t2Sxbx///4GEzb69evXYOk2a2KWWbH67cT0OCu2afTbmVnz+AtqW8rLyw07Kugnfmzbtk0IUb9Pq37fYUvphtRv/u7o6GiWpSb021aNHz/e5HU1V2lpqaHV1Rj7C99IbW2tYWmRPXv2mLy+lqitrRUjRowQAMQtt9xitJakefPmCQBi8uTJRinPkul0OnHmzBnx008/iTfeeEPceeedhl029LeIiAhJZqdfqa6uTqxatcowdhiAuPvuu8XFixelDq1ZzDYrVqlUGh5jYtc0TzzxhAAgXnnlFZPXRWRMW7ZsMQyKl8lk4sUXXzQsChwWFiYqKiqkDtFgwIABZpkBKYQQkydPFgBEQkKCyetqiZCQEAFArF271uR17d69WwD1u+FIMXmmqY4fP25YW9IY48NzcnIMs263bt1qhAitk0ajEX///bfYtGmTxV3/oqIi8eSTTxpaVbt16yaOHz8udVhN1pw8xQ4tkJWVBQCQyWSGx9LS0lpSVJtTWFgIAPDx8ZE4EqLmGT9+PA4ePIiHH34YQgi88847SE9Ph6+vL1JSUuDi4iJ1iAbR0dEAgOTkZJPWU15ejr/++gsAcOutt5q0rpYaMWIEAGD37t0mr0upVAIAJkyYAHt7e5PX11J9+vTB22+/DQB4/vnnce7cuVaV98EHH6C6uhqjRo3CTTfdZIwQrZKXlxduuukmREZGWtz1l8vl+Pjjj5Geno7evXvj3LlzGDNmjE3mLi1K7IKDgxEWFob4+HgsXrwY4eHhiIyMNHZsNuny5csAmNiRdfLy8sIXX3yBn376CR07doSjoyO+/fZbdO/eXerQGoiKigIAbNq0CVqt1mT1/PXXX6isrERAQAD69+9vsnpaQ5/Y7dq1y+R1paamAgAiIiJMXldrPfPMMxg9ejRKSkrw6KOPQgjRonI0Gg0+//xzAMCiRYsaNHiQ5QkODsb27dsRFhaGgoICjB8/Hps2bZI6LKNqUWI3ceJEJCcnIzg4GEIIJCUlYcKECcaOzSaxxY5swbRp06BWq5GVlYVJkyZJHc5V+vfvj759+6K6uhobNmwwWT0bN24EAEyZMsViP9BHjhwJAFCpVKiqqjJZPWVlZdi5cycAWMUXfXt7e3zxxRdwdXWFUqlEUlJSi8r59NNPUVJSgoEDB+K2224zcpRkCh06dMCWLVsQERGBsrIy3Hbbbfjuu++kDstoWpTYhYeHIyMjA0uXLsXSpUsRHBxs7Lhslj6x8/X1lTgSotZxc3ND165dpQ6jUTKZDHfffTcA4L333oNOpzN6HUII/PbbbwAstxsWAIKCguDr64uqqiocOHDAZPX8/fffqKmpQffu3REUFGSyeoypd+/eiIuLAwC8+OKLOHPmTLOeX15ejg8//BAAEBsbCzu7Fn2kkgQ8PDzw66+/4u6770ZtbS3uvfdefPTRR1KHZRQt+iuMiYnBXXfd1eCxLVu2GCUgW8euWCLzePLJJ+Hp6Yn9+/ebZKzdqVOnoFar4ejoaNE9FjKZzCzdsfrxdZGRkRbbetmYp556CjfddBNKS0vx6KOPNutLwBdffIH8/Hz06NHD8EWCrIeTkxNWr16Np556CkB99/zLL7/c4m55S9GixE4mk2H+/Pl45513sH79eqxcuRLx8fHGjs3m1NbWGsb7MLEjMi1fX1+8+OKLAIBXX30VtbW1Ri1f3w07duxYeHh4GLVsY9N3x5pyAoU1ja/7Jzs7O3zxxRdo164dtmzZgsTExCY9r6amBu+88w4AYMGCBXBwcDBlmGQidnZ2+PDDD/HWW28BAJYsWYKYmBijv1+YU4sSu6VLl0IIgYKCAuzduxenT582dDHStWk0GsPPTOyITO/ZZ59Fhw4dcOrUKXz11VdGLVvfDTtlyhSjlmsKpm6xy83NxaFDhwDUj8G2Nj179jQ0TixYsACpqanIyspCRUXFNZ/z/fff4+zZs+jYsSMefvhhc4VKJiCTyfDyyy8jKSkJdnZ2WLlyJaKjo695/YUQuHz5MtLT05GSkoJly5YZuuQtgUy0oM1x8+bNV714G3vMWhQXF8PLywtarRaenp4mq+fEiRPo27cvPD09TTpTj4j+54MPPsBzzz0Hf39/nDp1yijLspSVlRnGrR09ehT9+vUzQqSmU1JSAi8vLwghkJOTg86dOxu1/NWrV+P+++9HcHAwVCqVUcs2F51Oh4kTJxqWr9Hz8vJC586dDTc/Pz907twZK1euxIkTJ7BkyRIsXrxYmqDJ6H744Qfcc889qKqqwtixY/Hcc8/hzJkzyMrKavBvSUlJg+cpFApkZmaaLK5m5SkmW03PiphrgeKdO3cKAKJHjx4mrYeI/qeiokL4+/sLAOL99983Spk///yzACC6d+9u1j0wW2PQoEECgPjhhx+MXvZDDz0kAIiFCxcavWxzOnfunJg2bZoIDAw0LGB8vZunp6fQaDRSh01G9tdffwlPT88bXn8/Pz8xcuRIce+994rXXnvNpDE1J0/hoAAzys3NBVA/1ZqIzMPFxQWvvfYa5s6di7fffhuPPvpoq8fEWcMyJ1caMWIEDh06hF27dmH69OlGK7e8vBw//vgjAOCWW24xWrlSCAgIwE8//QSgvrtNq9UiNzcXFy9ebHDLzc1FQUEBHnroIXh5eUkcNRnbzTffjL///htPP/00ysvL0aNHDwQGBiIwMNDwc/fu3eHq6ip1qI1iYmdGJ06cAFA/xZ6IzOehhx5CQkICTp06hQ8++ACvvvpqi8sSVrLMyZVGjhyJFStWGH0Cxffffw+NRgOFQoFx48YZtWwpyWQyyOVyyOVy9O3bV+pwyMyGDBmCrVu3Sh1Gi7Rq0Z1169Zh/fr1hn/p+o4fPw4AfJMgMjMHBwe8+eabAIB33nnHsOxQS5w4cQJnzpyBk5OTRS9zciX9BIq0tDSjzfgTQuDTTz8FADz22GNcx43IAtzwVajVahtdo27lypWYMWMG7rrrLsO/TO6uj4kdkXSio6MxdOhQFBcXt2p5Jn037M033ww3NzdjhWdyffr0gVwuR0VFBQ4ePGiUMtPS0qBSqeDs7MyZoUQW4oaJnZeXF5YuXYr58+c3eFw0Mpm2Nd+C24JLly4BgMWu1k9ky+zs7Awbv3/88cfIyclpUTnWtMzJP9nZ2WH48OEAjLeenX6P1JkzZ6J9+/ZGKZOIWqdJ7ebx8fGIiorCzJkzDa13YWFhmDRpEsLDwxEWFoZbbrkF4eHhRg1OrVYjISEBKSkpSEhIaLAOXGNUKhVCQ0ONGoMxFRcXAwAH2xJJZMqUKRg9ejQqKysNC5I2R2lpKf7++28A1jW+Tk/fHWuMxO7y5cv4/vvvAQCPP/54q8sjIuNoUmIXHBwMmUyGtWvXYt++fZg/fz6CgoKwadMmpKWlIT09HX/88QeGDh1q1OCio6OxcOFCREVFISoqCnPnzr3muSkpKQBgsWsoCSEMiZ0p18ojomuTyWSGvUFXrFjR7HWntmzZgurqagQGBlrlJChjLlS8atUqVFZWIjg42NASSETSa1Jid+bMGcNOCQsWLMCCBQswZ84ck+4Pq1arG9xXKBSGvQgbExUVhZCQEJPF01qVlZWGActM7Iikc9NNN2Hy5Mmora3F66+/3qznWuMyJ/+kT8BOnz6NgoKCFpej0+kM3bCPP/64Vf4uiGxVkxK71NRUpKWlYcWKFVi/fj0UCgXWrl2LzMxMzJ8/39ASZUxKpfKqbbd8fHwstkXuRvS/I5lMBnd3d4mjIWrb9GPtVq9ebdgK60aEEIbEzhq7YQHA29vbMHmrNd2xSqUSmZmZ8PLywj333GOs8IjICJqU2Pn4+GDu3LmYO3cuJk6caJj9OnfuXCxduhQLFy40+ozYa42nM8aetFVVVSguLm5wMzV9HR4eHlwSgEhiISEhiI6OhhCiSWvaXb58GcuXL8fZs2fh7OyM8ePHmyFK0xg5ciSA1iV2n332GQBg9uzZVjUzmKgtuGGGkZGR0WBCgn6/wX/eX758OYQQZtkv70YTKJoiLi4OXl5ehltAQEDrA7sB/d6w7IYlsgz//ve/YWdnh59++gl79uy56nhmZibef/99jBs3Dp06dTJMEIiIiEC7du3MHa7RtHYCxblz5/Dzzz8DwFWrJRCR9G6480RwcDAWLVqEjIwMyOVyaDQazJs376rzZsyYgRkzZtywwqSkpOsOWI6MjERERATkcvlVrXOFhYWQy+U3rONGFi9ejOeff95wv7i42OTJHSdOEFmWvn37Yvbs2fjyyy/x0ksvGYac/PTTT9iwYQOOHDnS4PzBgwdj2rRpVj8DVJ/Y7dmzB7W1tXBwaN4GRCtWrIBOp8P48eO5JieRBZKJxhaka4RWq4VarUZwcLCpYwJQP3kiOjoa+/btMzzm7e2NrKys6yZ3Mpms0TX2rqe4uBheXl7QarUmS7x+/PFH3HnnnRgxYoRRZqQRUeudPXsWvXv3RnV1NTp06ID8/HzDMXt7e9x888244447MHXqVAQGBkoYqfHU1dWhQ4cOKCoqwksvvWQYb9gU1dXV6NatGy5duoTk5GRERUWZMFIi0mtOntLkwV5eXl5mS+qA+lmw/6RWqxEWFmZI6lQq1VUzZ/WM0V1rbFzDjsjydO/eHY899hgAID8/Hx4eHpg5cyZWr16N/Px8bN68GU8//bTNJHVAfcL68ccfAwCWLFmC7777rsnP/eGHH3Dp0iV07twZd9xxh6lCJKJWaF4bvJklJycjNjYW4eHhSEtLQ3JysuFYXFwcwsPDsXDhQgD1s7RSU1MbHLOkb5PsiiWyTEuXLkXPnj3Ru3dvjBs3Ds7OzlKHZHL33XcfDh48iISEBDzyyCPo3bt3kxZ310+amDt3LhwdHU0dJhG1QJO7Ym2ZObpi3377bbzyyit49NFHsXLlSpPUQUTUVHV1dZg2bRp+++03dO3aFenp6fDz87vm+UeOHMHAgQNhb2+PM2fOwN/f34zRErVtJumKpdZhix0RWRJ7e3t8++236Nu3Ly5cuIA777wTVVVV1zxfvyDxHXfcwaSOyIIxsTMTJnZEZGm8vLywYcMGyOVy7N69G4899lijk89KS0vxf//3fwC4LyyRpWNiZyZM7IjIEvXq1Qtr166FnZ0dVq1ahQ8//PCqc1avXo2SkhL07t0bEyZMkCBKImoqJnZmwlmxRGSpIiMj8d577wEAXnjhBWzatMlwTAhhmDQxf/587gtLZOGY2JkJd54gIkv29NNP45FHHoFOp8OsWbNw8uRJAMDOnTtx8OBBuLq6Yvbs2RJHSUQ3wsTOTNgVS0SWTCaT4bPPPsOoUaOg0Wgwbdo0aLVaQ2vdPffcA29vb4mjJKIbseh17GwJEzsisnTOzs5Yv349wsLCcOLECdx5553YsWMHAE6aILIWXMcO5lnH7syZMygqKkLv3r3h5uZmkjqIiIxBpVJhzJgxqKioAAAMGzYMe/bskTgqoraL69hZoB49eiA4OJhJHRFZvJCQEKxatcpwf/78+dIFQ0TNwq5YIiK6ysyZM6HVanHw4EHce++9UodDRE3ExI6IiBo1d+5cqUMgomZiVywRERGRjWCLHWDYQkc/c5WIiIjIUujzk6bMd2ViB6CkpAQAEBAQIHEkRERERI0rKSm54Q5WXO4EgE6nQ05ODjw8PEy2XU5xcTECAgKQnZ3NtewsBK+JZeH1sDy8JpaH18TymOOaCCFQUlKCLl26wM7u+qPo2GIHwM7ODv7+/mapy9PTky9GC8NrYll4PSwPr4nl4TWxPKa+Jk3da56TJ4iIiIhsBBM7IiIiIhvBxM5MnJ2d8dprr8HZ2VnqUOi/eE0sC6+H5eE1sTy8JpbH0q4JJ08QERER2Qi22BERERHZCCZ2RERERDaCy50YkVqtRkpKChQKBdRqNWJiYiCXy1t9LrVcc3/PKpUKc+fOxb59+8wXZBvTnGuiUqmgVCoBAGlpaVixYgVfJ0bWnOuhvxYajQZpaWmYNWsWQkJCzBht29DSz4fY2FgsXryYrxETaO77FgCEhIRArVZDo9GY93UiyGhCQkIMP2dmZoqoqCijnEst15zfc3Jysti3b5/gy8K0mnNN4uPjG/z8z+eScTTnesjlcrFv3z4hhBCJiYlCoVCYPL62qCWfD/r3rqKiIhNG1nY155rExMQIAAKAiIiIMPs1YVeskajV6gb3FQqF4dtta86llmvu7zkqKoqtDybWnGuiUqkQFxdnuB8VFQWVSnVVGdRyzX2NJCcnN3iNsGXI+Fr6+aBWq6FQKEwVVpvW3GsSGhqKoqIiFBUVITU11eyvEyZ2RqJUKuHj49PgMR8fH0OTbEvPpZbj79nyNOeahISEYMWKFYb7Go3GcD4ZR3NfIxEREYafk5OTMW/ePJPG1xa15H0rJSUFUVFRpg6tzWrJNZHL5ZJ98eEYOyPRf+hcqbCwsFXnUsvx92x5mntN/vlhtWbNGkRERLCVyIha8hpRqVRYs2YNIiMjERMTY6LI2q7mXhONRsPXhIm15JqkpKQAqB8bPG/ePLO2pjKxM7Fr/UG09lxqOf6eLc+Nron+jZKTWszjetcjJCQECoUCsbGxbCkyo2tdk7Vr1zLBlsi1rsk/J1YoFApERkYiMzPTbHGxK9ZI5HL5Vdl7YWFho9+kmnMutRx/z5anpdckNjZWkrEqtq6l10MulyM6OhrR0dH8omRkzbkmSqUSM2fONFNkbVdzXyf/HJOnn0VrzrHBTOyM5J9jT/4pLCysVedSy/H3bHlack0SEhIQGxsLhUIBjUbDRMKImnM9lEolvL29Dff1XUuczGJczX2NrF27FklJSUhKSoJarUZcXBzHERtZc66JSqXCxIkTr3rcnGOD2RVrJFf2n6vVaoSFhRkyepVKBblcDoVCccNzyTiac02uxHErptHca5KSkmLo+tNoNOx2MrLmXA8fH58GH3D6Y5xJblzNuSZXJhzz5s0z+3iutqC5n+/x8fGGc5VKJaKiosz6ecK9Yo1IrVYjMTER4eHhSEtLa7BQZHR0NMLDw7Fw4cIbnkvG05xrolQqkZqaioSEBCxcuBDh4eEcP2QCTb0marUaQUFBDZ4rl8tRVFQkQdS2qzmvkZSUFEOXVGpqKuLj45lEmEBzrglQ/0U0KSkJsbGxiImJwbx585hwG1lzrol+YXW5XI7MzMwGiZ45MLEjIiIishEcY0dERERkI5jYEREREdkIJnZERERENoKJHREREZGNYGJHREREZCOY2BERERHZCCZ2RERERDaCiR0RkRHNmzfvqoWViYjMhVuKEREZUXR09FUbhhMRmQtb7IiIjCg1NRWRkZFSh0FEbRQTOyIiI1IqlQgLC5M6DCJqo7hXLBGREclkMgghoFaroVKpoFarG2zYTkRkSmyxIyIyEpVKhZCQEGg0GsPPa9askTosImpDOHmCiMhIlEolACA9PR1RUVEAgH379kkZEhG1MWyxIyIyktTUVCxevBhqtRrz5s2TOhwiaoM4xo6IyEi8vb1RVFQEAAgKCkJmZiZSUlIMrXdERKbGFjsiIiNQq9WIiIgw3I+KikJKSgpCQkIkjIqI2hq22BERERHZCLbYEREREdkIJnZERERENoKJHREREZGNYGJHREREZCOY2BERERHZCCZ2RERERDaCiR0RERGRjWBiR0RERGQjmNgRERER2QgmdkREREQ2gokdERERkY1gYkdERERkI/4fi1DLPSzBnwEAAAAASUVORK5CYII=", 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", 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" ] @@ -626,7 +626,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] From 8191eb9e34044dc43d91ff3102d529950c29f995 Mon Sep 17 00:00:00 2001 From: marcobonici Date: Tue, 2 Dec 2025 21:31:05 -0500 Subject: [PATCH 3/5] Adding new fetch-artifacts mechanism --- Artifacts.toml | 34 + jaxeffort/__init__.py | 411 ++++--- jaxeffort/data_fetcher.py | 1006 ------------------ notebooks/jaxeffort_velocileptors_lpt.ipynb | 103 +- notebooks/jaxeffort_velocileptors_rept.ipynb | 258 ++++- poetry.lock | 220 +--- pyproject.toml | 1 + tests/test_cache_management_advanced.py | 458 -------- tests/test_data_fetcher.py | 204 ---- tests/test_data_fetcher_robust.py | 554 ---------- tests/test_init_robust.py | 314 ------ tests/test_initialization.py | 74 +- 12 files changed, 672 insertions(+), 2965 deletions(-) create mode 100644 Artifacts.toml delete mode 100644 jaxeffort/data_fetcher.py delete mode 100644 tests/test_cache_management_advanced.py delete mode 100644 tests/test_data_fetcher.py delete mode 100644 tests/test_data_fetcher_robust.py delete mode 100644 tests/test_init_robust.py diff --git a/Artifacts.toml b/Artifacts.toml new file mode 100644 index 0000000..ef1053c --- /dev/null +++ b/Artifacts.toml @@ -0,0 +1,34 @@ +# Artifacts.toml for jaxeffort trained emulators +# +# This file declares the available trained emulators for jaxeffort. +# Compatible with Julia's Pkg.Artifacts system via pyartifacts. + +[pybird_mnuw0wacdm] +git-tree-sha1 = "d309b571f5693718c8612d387820a409479fe50688d4c46c87ba8662c6acc09b" +lazy = true +description = "PyBird emulator for massive neutrinos, w0wa CDM cosmology" +has_noise = false + + [[pybird_mnuw0wacdm.download]] + url = "https://zenodo.org/records/17436464/files/trained_effort_pybird_mnuw0wacdm.tar.xz?download=1" + sha256 = "d309b571f5693718c8612d387820a409479fe50688d4c46c87ba8662c6acc09b" + +[velocileptors_lpt_mnuw0wacdm] +git-tree-sha1 = "4f942141ecdfe8a71b03f514a47103fe9a5ae3e3c3b46963c7627b4e196ca579" +lazy = true +description = "Velocileptors LPT emulator for massive neutrinos, w0wa CDM cosmology" +has_noise = false + + [[velocileptors_lpt_mnuw0wacdm.download]] + url = "https://zenodo.org/records/17635885/files/trained_effort_velocileptors_lpt_mnuw0wacdm.tar.xz?download=1" + sha256 = "4f942141ecdfe8a71b03f514a47103fe9a5ae3e3c3b46963c7627b4e196ca579" + +[velocileptors_rept_mnuw0wacdm] +git-tree-sha1 = "33dfa33b1191928198d17f263bae77621d8f46cff25281812cbc2cdddff092d9" +lazy = true +description = "Velocileptors REPT emulator for massive neutrinos, w0wa CDM cosmology" +has_noise = false + + [[velocileptors_rept_mnuw0wacdm.download]] + url = "https://zenodo.org/records/17635853/files/trained_effort_velocileptors_rept_mnuw0wacdm.tar.xz?download=1" + sha256 = "33dfa33b1191928198d17f263bae77621d8f46cff25281812cbc2cdddff092d9" diff --git a/jaxeffort/__init__.py b/jaxeffort/__init__.py index 6992632..84e4da6 100644 --- a/jaxeffort/__init__.py +++ b/jaxeffort/__init__.py @@ -3,11 +3,14 @@ This package provides tools for emulating galaxy power spectra using JAX, with automatic downloading and caching of pretrained multipole emulators. + +Emulator configurations are defined in Artifacts.toml (similar to Julia's Pkg.Artifacts). """ import os import warnings from pathlib import Path +from typing import Dict, List, Optional, Any # Import core functionality explicitly (not using *) from jaxeffort.jaxeffort import ( @@ -46,49 +49,84 @@ inv_maximin, ) -# Import data fetcher functionality -from .data_fetcher import ( - get_emulator_path, - get_fetcher, - MultipoleDataFetcher, - clear_cache, - check_for_updates, - force_update, - get_cache_info, - clear_all_cache, - clean_cached_emulators, +# Import fetch_artifacts for artifact management +from fetch_artifacts import ( + load_artifacts, + artifact, + artifact_exists, + clear_artifact_cache, + get_cache_dir, + set_cache_dir, + bind_artifact, + add_artifact, ) -# Initialize the trained_emulators dictionary BEFORE __all__ -trained_emulators = {} - -# Define available emulator configurations BEFORE __all__ -EMULATOR_CONFIGS = { - "pybird_mnuw0wacdm": { - "zenodo_url": "https://zenodo.org/records/17436464/files/trained_effort_pybird_mnuw0wacdm.tar.xz?download=1", - "description": "PyBird emulator for massive neutrinos, w0wa CDM cosmology", - "has_noise": False, # Set to True if the emulator includes noise (st/) component - "checksum": "d309b571f5693718c8612d387820a409479fe50688d4c46c87ba8662c6acc09b", # SHA256 checksum - }, - "velocileptors_lpt_mnuw0wacdm": { - "zenodo_url": "https://zenodo.org/records/17635885/files/trained_effort_velocileptors_lpt_mnuw0wacdm.tar.xz?download=1", - "description": "Velocileptors LPT emulator for massive neutrinos, w0wa CDM cosmology", - "has_noise": False, # Set to True if the emulator includes noise (st/) component - "checksum": "4f942141ecdfe8a71b03f514a47103fe9a5ae3e3c3b46963c7627b4e196ca579", # SHA256 checksum - }, - "velocileptors_rept_mnuw0wacdm": { - "zenodo_url": "https://zenodo.org/records/17635853/files/trained_effort_velocileptors_rept_mnuw0wacdm.tar.xz?download=1", - "description": "Velocileptors REPT emulator for massive neutrinos, w0wa CDM cosmology", - "has_noise": False, # Set to True if the emulator includes noise (st/) component - "checksum": "33dfa33b1191928198d17f263bae77621d8f46cff25281812cbc2cdddff092d9", # SHA256 checksum +# Initialize the trained_emulators dictionary +trained_emulators: Dict[str, Dict[str, Optional[MultipoleEmulators]]] = {} + +# Path to Artifacts.toml (in package directory) +_ARTIFACTS_TOML = Path(__file__).parent.parent / "Artifacts.toml" + +# Global artifact manager +_artifact_manager = None + + +def _get_artifact_manager(): + """Get or create the artifact manager singleton.""" + global _artifact_manager + if _artifact_manager is None: + if _ARTIFACTS_TOML.exists(): + _artifact_manager = load_artifacts(_ARTIFACTS_TOML) + else: + warnings.warn(f"Artifacts.toml not found at {_ARTIFACTS_TOML}") + return _artifact_manager + + +def list_emulators() -> List[str]: + """ + List all available emulators defined in Artifacts.toml. + + Returns + ------- + list of str + Names of available emulators. + """ + manager = _get_artifact_manager() + if manager is None: + return [] + return list(manager.artifacts.keys()) + + +def get_emulator_info(model_name: str) -> Dict[str, Any]: + """ + Get information about an emulator from Artifacts.toml. + + Parameters + ---------- + model_name : str + Name of the emulator. + + Returns + ------- + dict + Emulator information including description, has_noise, etc. + """ + manager = _get_artifact_manager() + if manager is None: + raise RuntimeError("Artifacts.toml not found") + + if model_name not in manager: + raise ValueError(f"Model '{model_name}' not found. Available: {list_emulators()}") + + entry = manager.artifacts[model_name] + return { + "name": model_name, + "git_tree_sha1": entry.git_tree_sha1, + "lazy": entry.lazy, + "cached": manager.exists(model_name), + **entry.metadata, # Includes description, has_noise, etc. } - # Future models can be added here: - # "camb_lcdm": { - # "zenodo_url": "https://zenodo.org/...", - # "description": "CAMB-based LCDM model", - # "has_noise": True, - # } -} + __all__ = [ # Core emulator classes @@ -101,21 +139,16 @@ "load_jacobian_bias_combination", "load_preprocessing", "load_stoch_model", - # Data fetcher + # Artifact management "get_emulator_path", - "get_fetcher", - "MultipoleDataFetcher", - # Cache management + "list_emulators", + "get_emulator_info", "clear_cache", - "check_for_updates", - "force_update", "get_cache_info", "clear_all_cache", - "clean_cached_emulators", + "add_emulator", # Trained emulators dictionary "trained_emulators", - "EMULATOR_CONFIGS", - "add_emulator_config", "reload_emulators", # Cosmology functions (from jaxace) "W0WaCDMCosmology", @@ -144,19 +177,100 @@ "inv_maximin", ] -__version__ = "0.2.2" +__version__ = "0.3.0" + + +def get_emulator_path(model_name: str = None, download_if_missing: bool = True) -> Path: + """ + Get the path to an emulator's data directory. + + Parameters + ---------- + model_name : str, optional + Name of the model. If None, returns path for default model. + download_if_missing : bool + Whether to download if not cached. Default: True. + + Returns + ------- + Path + Path to the emulator directory. + """ + if model_name is None: + model_name = "pybird_mnuw0wacdm" + + manager = _get_artifact_manager() + if manager is None: + raise RuntimeError("Artifact manager not initialized. Artifacts.toml not found.") + + if model_name not in manager: + raise ValueError( + f"Model '{model_name}' not found. Available: {list_emulators()}" + ) + + return manager.get_path(model_name) -def _load_emulator_set(model_name: str, config: dict, auto_download: bool = True): +def clear_cache(model_name: str = None): """ - Helper function to load a set of multipole emulators for a given model. + Clear cached emulator files. + + Parameters + ---------- + model_name : str, optional + Specific model to clear. If None, clears all. + """ + manager = _get_artifact_manager() + if manager is None: + return + + if model_name: + manager.clear(model_name) + else: + manager.clear() + + +def clear_all_cache(): + """Clear ALL cached jaxeffort data.""" + clear_cache() + + +def get_cache_info(model_name: str = None) -> dict: + """ + Get information about cached emulator files. + + Parameters + ---------- + model_name : str, optional + Specific model to get info for. + + Returns + ------- + dict + Cache information. + """ + manager = _get_artifact_manager() + if manager is None: + return {"error": "Artifact manager not initialized"} + + if model_name is None: + model_name = "pybird_mnuw0wacdm" + + return { + "cache_dir": str(get_cache_dir()), + "emulator_name": model_name, + "has_cached_data": manager.exists(model_name), + } + + +def _load_emulator_set(model_name: str, auto_download: bool = True): + """ + Load a set of multipole emulators for a given model. Parameters ---------- model_name : str Name of the model (e.g., "pybird_mnuw0wacdm") - config : dict - Configuration dictionary with zenodo_url and other settings auto_download : bool Whether to automatically download if not cached @@ -168,23 +282,24 @@ def _load_emulator_set(model_name: str, config: dict, auto_download: bool = True emulators = {} try: - # Initialize fetcher for this model - # Create a NEW fetcher instance for each model (don't use singleton get_fetcher) - fetcher = MultipoleDataFetcher( - zenodo_url=config["zenodo_url"], - emulator_name=model_name, - expected_checksum=config.get("checksum"), - ) - - # Get multipole paths - multipole_paths = fetcher.get_multipole_paths(download_if_missing=auto_download) - - if multipole_paths: - # Load each multipole emulator with string keys - for l, mp_path in multipole_paths.items(): - if mp_path and mp_path.exists(): + manager = _get_artifact_manager() + if manager is None or model_name not in manager: + warnings.warn(f"Model '{model_name}' not found in Artifacts.toml") + return {"0": None, "2": None, "4": None} + + # Check if we should download + if not auto_download and not manager.exists(model_name): + return {"0": None, "2": None, "4": None} + + # Get path (downloads if needed) + emulator_path = manager.get_path(model_name) + + if emulator_path and emulator_path.exists(): + # Load each multipole emulator + for l in [0, 2, 4]: + mp_path = emulator_path / str(l) + if mp_path.exists(): try: - # Load standard multipole emulator emulators[str(l)] = load_multipole_emulator(str(mp_path)) except Exception as e: emulators[str(l)] = None @@ -196,72 +311,41 @@ def _load_emulator_set(model_name: str, config: dict, auto_download: bool = True if loaded == 0: warnings.warn(f"No multipole emulators loaded for {model_name}") else: - warnings.warn(f"Could not find multipole emulator data for {model_name}") - # Create empty entries for expected multipoles + warnings.warn(f"Could not find emulator data for {model_name}") emulators = {"0": None, "2": None, "4": None} except Exception as e: warnings.warn(f"Could not initialize {model_name}: {e}") - # Create empty entries for expected multipoles emulators = {"0": None, "2": None, "4": None} return emulators -# Load default emulators on import (unless disabled) -if not os.environ.get("JAXEFFORT_NO_AUTO_DOWNLOAD"): - print("jaxeffort: Initializing multipole emulators...") - - # Load all configured models - for model_name, config in EMULATOR_CONFIGS.items(): - try: - print(f" Loading {model_name}...") - trained_emulators[model_name] = _load_emulator_set( - model_name, config, auto_download=True - ) - - # Report loading status - loaded = sum(1 for v in trained_emulators[model_name].values() if v is not None) - total = 3 # Expecting multipoles 0, 2, 4 - if loaded > 0: - loaded_ls = [k for k, v in trained_emulators[model_name].items() if v is not None] - print(f" {model_name}: Loaded {loaded}/{total} multipoles (l={loaded_ls})") - else: - warnings.warn(f"Failed to load any multipoles for {model_name}") - - except Exception as e: - # Ensure import doesn't fail completely - warnings.warn(f"Failed to load {model_name} emulators: {e}") - trained_emulators[model_name] = {"0": None, "2": None, "4": None} -else: - # Create empty structure when auto-download is disabled - for model_name, config in EMULATOR_CONFIGS.items(): - trained_emulators[model_name] = {"0": None, "2": None, "4": None} - - -def add_emulator_config( +def add_emulator( model_name: str, - zenodo_url: str, + tarball_url: str, description: str = None, has_noise: bool = False, - checksum: str = None, + force: bool = False, auto_load: bool = True, ): """ - Add a new emulator configuration and optionally load it. + Add a new emulator by downloading from URL and adding to Artifacts.toml. + + This is similar to Julia's ArtifactUtils.add_artifact!(). Parameters ---------- model_name : str - Name for the model (e.g., "camb_lcdm") - zenodo_url : str - URL to download the emulator tar.gz file from + Name for the model + tarball_url : str + URL to download the emulator tarball description : str, optional Description of the model has_noise : bool, optional - Whether the emulator includes noise component (st/ folder) - checksum : str, optional - Expected SHA256 checksum of the downloaded file + Whether the emulator includes noise component + force : bool, optional + Overwrite if already exists auto_load : bool, optional Whether to immediately load the emulators @@ -270,34 +354,46 @@ def add_emulator_config( dict The loaded emulator for this model """ - global EMULATOR_CONFIGS, trained_emulators + global trained_emulators, _artifact_manager + + # Use pyartifacts.add_artifact to download and add to TOML + result = add_artifact( + toml_path=_ARTIFACTS_TOML, + name=model_name, + tarball_url=tarball_url, + lazy=True, + force=force, + verbose=True, + ) + + # Add extra metadata to the TOML + # We need to update the TOML with description and has_noise + try: + import tomlkit + with open(_ARTIFACTS_TOML, "r") as f: + doc = tomlkit.load(f) - # Add to configuration - EMULATOR_CONFIGS[model_name] = { - "zenodo_url": zenodo_url, - "description": description or f"{model_name} emulators", - "has_noise": has_noise, - } + if model_name in doc: + if description: + doc[model_name]["description"] = description + doc[model_name]["has_noise"] = has_noise - # Add checksum if provided - if checksum: - EMULATOR_CONFIGS[model_name]["checksum"] = checksum + with open(_ARTIFACTS_TOML, "w") as f: + tomlkit.dump(doc, f) + except ImportError: + warnings.warn("tomlkit not installed, cannot add metadata to Artifacts.toml") + + # Reset artifact manager to reload the TOML + _artifact_manager = None # Load if requested if auto_load: - print(f"Loading {model_name} emulator...") - trained_emulators[model_name] = _load_emulator_set( - model_name, EMULATOR_CONFIGS[model_name], auto_download=True - ) + trained_emulators[model_name] = _load_emulator_set(model_name, auto_download=True) - # Report status loaded = sum(1 for v in trained_emulators[model_name].values() if v is not None) - if loaded > 0: - print(f" ✓ Loaded {loaded}/3 multipoles") - else: - print(f" ✗ Failed to load emulator") + if loaded == 0: + warnings.warn(f"Failed to load emulator for {model_name}") else: - # Create empty structure trained_emulators[model_name] = {"0": None, "2": None, "4": None} return trained_emulators[model_name] @@ -319,21 +415,46 @@ def reload_emulators(model_name: str = None): """ global trained_emulators + manager = _get_artifact_manager() + if manager is None: + warnings.warn("Cannot reload: Artifacts.toml not found") + return trained_emulators + if model_name: - # Reload specific model - if model_name in EMULATOR_CONFIGS: - print(f"Reloading {model_name}...") - trained_emulators[model_name] = _load_emulator_set( - model_name, EMULATOR_CONFIGS[model_name], auto_download=True - ) + if model_name in manager: + trained_emulators[model_name] = _load_emulator_set(model_name, auto_download=True) else: raise ValueError( - f"Unknown model: {model_name}. Available: {list(EMULATOR_CONFIGS.keys())}" + f"Unknown model: {model_name}. Available: {list_emulators()}" ) else: - # Reload all models - print("Reloading all emulators...") - for name, config in EMULATOR_CONFIGS.items(): - trained_emulators[name] = _load_emulator_set(name, config, auto_download=True) + # Reload all models from Artifacts.toml + for name in manager.artifacts: + trained_emulators[name] = _load_emulator_set(name, auto_download=True) return trained_emulators + + +# Load emulators on import (unless disabled) +if not os.environ.get("JAXEFFORT_NO_AUTO_DOWNLOAD"): + manager = _get_artifact_manager() + if manager is not None: + for model_name in manager.artifacts: + try: + trained_emulators[model_name] = _load_emulator_set( + model_name, auto_download=True + ) + + loaded = sum(1 for v in trained_emulators[model_name].values() if v is not None) + if loaded == 0: + warnings.warn(f"Failed to load any multipoles for {model_name}") + + except Exception as e: + warnings.warn(f"Failed to load {model_name} emulators: {e}") + trained_emulators[model_name] = {"0": None, "2": None, "4": None} +else: + # Create empty structure when auto-download is disabled + manager = _get_artifact_manager() + if manager is not None: + for model_name in manager.artifacts: + trained_emulators[model_name] = {"0": None, "2": None, "4": None} diff --git a/jaxeffort/data_fetcher.py b/jaxeffort/data_fetcher.py deleted file mode 100644 index baccff6..0000000 --- a/jaxeffort/data_fetcher.py +++ /dev/null @@ -1,1006 +0,0 @@ -""" -Data fetcher for jaxeffort emulator files from Zenodo. - -This module handles downloading, extracting, and caching of trained multipole emulator data. -Based on the jaxcapse data fetcher design but adapted for jaxeffort's multipole structure. -""" - -import hashlib -import json -import os -import shutil -import tarfile -import time -import urllib.request -from datetime import datetime -from pathlib import Path -from typing import Any, Dict, Optional, Union -from urllib.error import URLError - - -def _get_zenodo_url_for_model(model_name: str) -> str: - """ - Get Zenodo URL for a specific model from EMULATOR_CONFIGS. - - Parameters - ---------- - model_name : str - Name of the model - - Returns - ------- - str - Zenodo URL for the model - - Raises - ------ - ValueError - If model not found in EMULATOR_CONFIGS - """ - # Import here to avoid circular dependency - from . import EMULATOR_CONFIGS - - if model_name not in EMULATOR_CONFIGS: - raise ValueError( - f"Model '{model_name}' not found in EMULATOR_CONFIGS. " - f"Available models: {list(EMULATOR_CONFIGS.keys())}" - ) - - return EMULATOR_CONFIGS[model_name]["zenodo_url"] - - -class MultipoleDataFetcher: - """ - Manages downloading and caching of multipole emulator data from Zenodo. - - The data is cached in ~/.jaxeffort_data/ by default. - """ - - def __init__( - self, - zenodo_url: str, - emulator_name: str = "pybird_mnuw0wacdm", - cache_dir: Optional[Union[str, Path]] = None, - expected_checksum: Optional[str] = None, - ): - """ - Initialize the data fetcher. - - Parameters - ---------- - zenodo_url : str - URL to download the emulator tar.gz file from. - emulator_name : str - Name identifier for this emulator set. - cache_dir : str or Path, optional - Directory to cache downloaded files. - Defaults to ~/.jaxeffort_data/ - expected_checksum : str, optional - Expected SHA256 checksum of the downloaded file for verification. - """ - # Store required parameters - self.zenodo_url = zenodo_url - self.emulator_name = emulator_name - self.expected_checksum = expected_checksum - - if cache_dir is None: - self.cache_dir = Path.home() / ".jaxeffort_data" - else: - self.cache_dir = Path(cache_dir) - - self.cache_dir.mkdir(parents=True, exist_ok=True) - - # Path for the downloaded tar.gz file - # Extract filename from URL - tar_filename = self.zenodo_url.split("/")[-1].split("?")[0] - self.tar_path = self.cache_dir / tar_filename - - # Path for extracted emulators - self.emulators_dir = self.cache_dir / "emulators" / self.emulator_name - - # Path for metadata file - self.metadata_file = self.cache_dir / f"{self.emulator_name}_metadata.json" - - def _download_file(self, url: str, destination: Path, show_progress: bool = True) -> bool: - """ - Download a file from URL to destination. - - Parameters - ---------- - url : str - URL to download from - destination : Path - Local path to save the file - show_progress : bool - Whether to show download progress - - Returns - ------- - bool - True if download successful, False otherwise - """ - try: - # Ensure parent directory exists - destination.parent.mkdir(parents=True, exist_ok=True) - - # Create temporary file for download - temp_file = destination.with_suffix(".tmp") - - def download_hook(block_num, block_size, total_size): - if show_progress and total_size > 0: - downloaded = block_num * block_size - percent = min(downloaded * 100 / total_size, 100) - mb_downloaded = downloaded / (1024 * 1024) - mb_total = total_size / (1024 * 1024) - print( - f"\rDownloading: {percent:.1f}% ({mb_downloaded:.1f}/{mb_total:.1f} MB)", - end="", - flush=True, - ) - - if show_progress: - print(f"Downloading multipole emulator data from Zenodo...") - - urllib.request.urlretrieve( - url, temp_file, reporthook=download_hook if show_progress else None - ) - - if show_progress: - print() # New line after progress - - # Move temp file to final destination - shutil.move(str(temp_file), str(destination)) - return True - - except (URLError, IOError) as e: - if show_progress: - print(f"\nError downloading: {e}") - # Clean up temp file if exists - temp_file = destination.with_suffix(".tmp") - if temp_file.exists(): - temp_file.unlink() - return False - - def _extract_tar(self, tar_path: Path, extract_to: Path, show_progress: bool = True) -> bool: - """ - Extract tar.gz file. - - Parameters - ---------- - tar_path : Path - Path to the tar.gz file - extract_to : Path - Directory to extract files to - show_progress : bool - Whether to show extraction progress - - Returns - ------- - bool - True if extraction successful, False otherwise - """ - try: - if show_progress: - print(f"Extracting multipole emulator data...") - - extract_to.mkdir(parents=True, exist_ok=True) - - # Auto-detect compression format (supports .tar.gz, .tar.xz, .tar.bz2, etc.) - with tarfile.open(tar_path, "r:*") as tar: - # Extract all files - tar.extractall(extract_to) - - if show_progress: - print("Extraction complete!") - - return True - - except (tarfile.TarError, IOError) as e: - if show_progress: - print(f"Error extracting tar file: {e}") - return False - - def _load_metadata(self) -> Dict[str, Any]: - """ - Load cached metadata about the downloaded files. - - Returns - ------- - dict - Metadata dictionary with download info - """ - if self.metadata_file.exists(): - try: - with open(self.metadata_file, "r") as f: - return json.load(f) - except (json.JSONDecodeError, IOError): - pass - return {} - - def _save_metadata(self, metadata: Dict[str, Any]): - """ - Save metadata about the downloaded files. - - Parameters - ---------- - metadata : dict - Metadata to save - """ - try: - with open(self.metadata_file, "w") as f: - json.dump(metadata, f, indent=2, default=str) - except IOError as e: - print(f"Warning: Could not save metadata: {e}") - - def _get_remote_info(self, url: str) -> Dict[str, Any]: - """ - Get remote file information without downloading. - - Parameters - ---------- - url : str - URL to check - - Returns - ------- - dict - Dictionary with 'size', 'last_modified', and 'etag' if available - """ - info = {} - try: - request = urllib.request.Request(url, method="HEAD") - with urllib.request.urlopen(request) as response: - headers = response.headers - if "Content-Length" in headers: - info["size"] = int(headers["Content-Length"]) - if "Last-Modified" in headers: - info["last_modified"] = headers["Last-Modified"] - if "ETag" in headers: - info["etag"] = headers["ETag"].strip('"') - except (URLError, IOError): - pass - return info - - def _verify_checksum(self, filepath: Path, expected_checksum: str) -> bool: - """ - Verify SHA256 checksum of a file. - - Parameters - ---------- - filepath : Path - Path to the file to verify - expected_checksum : str - Expected SHA256 checksum - - Returns - ------- - bool - True if checksum matches, False otherwise - """ - sha256_hash = hashlib.sha256() - with open(filepath, "rb") as f: - for byte_block in iter(lambda: f.read(4096), b""): - sha256_hash.update(byte_block) - return sha256_hash.hexdigest() == expected_checksum - - def _verify_multipole_structure(self, base_path: Path, show_progress: bool = True) -> bool: - """ - Verify the expected multipole emulator structure. - - Expects folders like: - - 0/, 2/, 4/ (monopole, quadrupole, hexadecapole) - Each containing: 11/, loop/, ct/ subfolders - - Or the standard component structure: - - 11/, loop/, ct/ (and optionally st/) - - Parameters - ---------- - base_path : Path - Path to check for emulator structure - show_progress : bool - Whether to show progress messages - - Returns - ------- - bool - True if valid structure found - """ - # Check for numbered multipole folders (0, 2, 4) - multipole_folders = ["0", "2", "4"] - - # Check for standard component folders - component_folders = ["11", "loop", "ct"] - - # Look for multipole structure (0/, 2/, 4/) - found_multipoles = [] - for mp in multipole_folders: - if (base_path / mp).exists(): - # Check if it has the expected subfolders - if all((base_path / mp / comp).exists() for comp in component_folders): - found_multipoles.append(mp) - - # Look for single component structure - found_components = all((base_path / folder).exists() for folder in component_folders) - - if found_multipoles: - if show_progress: - print(f"✓ Found multipole folder structure: {', '.join(found_multipoles)}") - return True - elif found_components: - if show_progress: - print("✓ Found component folder structure (11/, loop/, ct/)") - return True - else: - if show_progress: - print("Warning: Expected folder structure not found") - print("Looking for either:") - print(" - Multipole folders: 0/, 2/, 4/ (each with 11/, loop/, ct/)") - print(" - Component folders: 11/, loop/, ct/") - - # Debug: show what was actually found - if base_path.exists(): - items = list(base_path.iterdir()) - if items: - print(f"Found in {base_path}:") - for item in items[:10]: - print(f" - {item.name}") - return False - - def download_and_extract(self, force: bool = False, show_progress: bool = True) -> bool: - """ - Download and extract emulator data if not already present. - - Parameters - ---------- - force : bool - Force re-download even if data exists - show_progress : bool - Whether to show progress - - Returns - ------- - bool - True if successful, False otherwise - """ - # Check if emulators are already extracted - if not force and self.emulators_dir.exists(): - # Check for multipole structure - multipole_folders = ["0", "2", "4"] - component_folders = ["11", "loop", "ct"] - - all_multipoles_exist = True - for mp in multipole_folders: - mp_path = self.emulators_dir / mp - if not mp_path.exists(): - all_multipoles_exist = False - break - # Check components - for comp in component_folders: - if not (mp_path / comp).exists(): - all_multipoles_exist = False - break - if not all_multipoles_exist: - break - - if all_multipoles_exist: - if show_progress: - print("Multipole emulator data already available.") - return True - - # Download tar file if needed - if force or not self.tar_path.exists(): - if show_progress: - print(f"Downloading from Zenodo...") - success = self._download_file( - self.zenodo_url, self.tar_path, show_progress=show_progress - ) - if not success: - return False - - # Verify checksum if provided - if self.expected_checksum: - if show_progress: - print("Verifying checksum...") - if not self._verify_checksum(self.tar_path, self.expected_checksum): - if show_progress: - print("ERROR: Checksum verification failed!") - print("The downloaded file may be corrupted.") - # Remove the corrupted file - if self.tar_path.exists(): - self.tar_path.unlink() - return False - elif show_progress: - print("✓ Checksum verified") - - # Extract tar file - if show_progress: - print("Extracting multipole emulator data...") - - # Create a temporary extraction directory - temp_extract = self.cache_dir / "temp_extract" - if temp_extract.exists(): - shutil.rmtree(temp_extract) - - success = self._extract_tar(self.tar_path, temp_extract, show_progress=show_progress) - - if success: - # Find the directory containing multipole folders (0/, 2/, 4/) - emulator_root = None - - # First, check if temp_extract itself has the multipole folders - multipole_folders = ["0", "2", "4"] - if any((temp_extract / mp).exists() for mp in multipole_folders): - emulator_root = temp_extract - else: - # Look for a subdirectory containing the multipole folders - for item in temp_extract.iterdir(): - if item.is_dir(): - if any((item / mp).exists() for mp in multipole_folders): - emulator_root = item - break - - if emulator_root: - # Create final destination if needed - if self.emulators_dir.exists(): - shutil.rmtree(self.emulators_dir) - self.emulators_dir.mkdir(parents=True, exist_ok=True) - - # Copy each multipole folder to the final destination - for mp in multipole_folders: - src_mp = emulator_root / mp - if src_mp.exists(): - dest_mp = self.emulators_dir / mp - shutil.copytree(str(src_mp), str(dest_mp)) - if show_progress: - print(f" ✓ Copied multipole l={mp} emulator") - - # Clean up temp directory - if temp_extract.exists(): - shutil.rmtree(temp_extract) - - if show_progress: - print(f"✓ All multipole emulator data ready at: {self.emulators_dir}") - - # Save metadata about this download - metadata = { - "downloaded_at": datetime.now().isoformat(), - "zenodo_url": self.zenodo_url, - "emulator_name": self.emulator_name, - "tar_file_size": self.tar_path.stat().st_size - if self.tar_path.exists() - else None, - "checksum_verified": self.expected_checksum is not None, - } - # Get remote info if possible - remote_info = self._get_remote_info(self.zenodo_url) - if remote_info: - metadata["remote_info"] = remote_info - self._save_metadata(metadata) - - return True - else: - if show_progress: - print("Error: Could not find multipole folders (0/, 2/, 4/) in extracted files") - # Clean up - if temp_extract.exists(): - shutil.rmtree(temp_extract) - return False - - return False - - def get_emulator_path(self, download_if_missing: bool = True) -> Optional[Path]: - """ - Get the path to the emulator directory. - - Parameters - ---------- - download_if_missing : bool - Whether to download the data if not cached - - Returns - ------- - Path or None - Path to the emulator directory, or None if not available - """ - if self.emulators_dir.exists(): - # Check if all multipole folders exist - multipole_folders = ["0", "2", "4"] - if all((self.emulators_dir / mp).exists() for mp in multipole_folders): - return self.emulators_dir - - # Download and extract if requested - if download_if_missing: - success = self.download_and_extract() - if success and self.emulators_dir.exists(): - return self.emulators_dir - - return None - - def get_multipole_paths(self, download_if_missing: bool = True) -> Optional[Dict[int, Path]]: - """ - Get paths to individual multipole emulator directories. - - Parameters - ---------- - download_if_missing : bool - Whether to download the data if not cached - - Returns - ------- - dict or None - Dictionary mapping multipole l values (0, 2, 4) to their paths, - or None if not available - """ - base_path = self.get_emulator_path(download_if_missing) - if base_path is None: - return None - - multipole_paths = {} - for l in [0, 2, 4]: - mp_path = base_path / str(l) - if mp_path.exists(): - multipole_paths[l] = mp_path - - if len(multipole_paths) == 3: # All three multipoles found - return multipole_paths - return None - - def clear_cache(self, clear_tar: bool = True, show_progress: bool = True): - """ - Clear cached emulator files. - - Parameters - ---------- - clear_tar : bool - Whether to also clear the downloaded tar file - show_progress : bool - Whether to show progress messages - """ - items_cleared = [] - - # Clear extracted files - if self.emulators_dir.exists(): - shutil.rmtree(self.emulators_dir) - items_cleared.append("extracted emulators") - - # Clear tar file if requested - if clear_tar and self.tar_path.exists(): - self.tar_path.unlink() - items_cleared.append("tar archive") - - # Clear metadata - if self.metadata_file.exists(): - self.metadata_file.unlink() - items_cleared.append("metadata") - - if show_progress: - if items_cleared: - print(f"Cleared cached files: {', '.join(items_cleared)}") - else: - print("No cached files to clear") - - def check_for_updates(self, show_progress: bool = True) -> bool: - """ - Check if updates are available for the cached emulators. - - Parameters - ---------- - show_progress : bool - Whether to show progress messages - - Returns - ------- - bool - True if updates are available, False otherwise - """ - # Load cached metadata - metadata = self._load_metadata() - if not metadata: - if show_progress: - print("No cached metadata found") - return True # Assume update needed if no metadata - - # Get current remote info - if show_progress: - print("Checking for updates...") - remote_info = self._get_remote_info(self.zenodo_url) - - if not remote_info: - if show_progress: - print("Could not check remote version") - return False - - # Compare with cached info - cached_remote = metadata.get("remote_info", {}) - update_available = False - - # Check ETag if available (most reliable) - if "etag" in remote_info and "etag" in cached_remote: - if remote_info["etag"] != cached_remote["etag"]: - update_available = True - if show_progress: - print("✓ Update available: ETag changed") - # Check file size - elif "size" in remote_info and "size" in cached_remote: - if remote_info["size"] != cached_remote["size"]: - update_available = True - if show_progress: - print("✓ Update available: File size changed") - # Check last modified - elif "last_modified" in remote_info and "last_modified" in cached_remote: - if remote_info["last_modified"] != cached_remote["last_modified"]: - update_available = True - if show_progress: - print("✓ Update available: Last modified date changed") - else: - # Can't determine, assume no update - if show_progress: - print("Could not determine if updates are available") - - if not update_available and show_progress: - print("✓ Cached version is up to date") - - return update_available - - def force_update(self, show_progress: bool = True) -> bool: - """ - Force update by clearing cache and re-downloading. - - Parameters - ---------- - show_progress : bool - Whether to show progress messages - - Returns - ------- - bool - True if successful, False otherwise - """ - if show_progress: - print("Force updating multipole emulator data...") - - # Clear entire cache directory and recreate it - if self.cache_dir.exists(): - shutil.rmtree(self.cache_dir) - if show_progress: - print(f"Cleared cache directory: {self.cache_dir}") - - # Recreate the cache directory - self.cache_dir.mkdir(parents=True, exist_ok=True) - if show_progress: - print(f"Recreated cache directory: {self.cache_dir}") - - # Re-download and extract - if show_progress: - print("Re-downloading latest version...") - return self.download_and_extract(force=True, show_progress=show_progress) - - def get_cache_info(self) -> Dict[str, Any]: - """ - Get information about cached files. - - Returns - ------- - dict - Dictionary with cache information - """ - info = { - "cache_dir": str(self.cache_dir), - "emulator_name": self.emulator_name, - "has_cached_data": self.emulators_dir.exists(), - } - - # Add size information - if self.emulators_dir.exists(): - total_size = sum(f.stat().st_size for f in self.emulators_dir.rglob("*") if f.is_file()) - info["extracted_size_mb"] = round(total_size / (1024 * 1024), 2) - - if self.tar_path.exists(): - info["tar_size_mb"] = round(self.tar_path.stat().st_size / (1024 * 1024), 2) - - # Add metadata info - metadata = self._load_metadata() - if metadata: - info["downloaded_at"] = metadata.get("downloaded_at") - info["checksum_verified"] = metadata.get("checksum_verified", False) - - return info - - -# Convenience functions for direct access -_default_fetcher = None - - -def get_fetcher( - zenodo_url: str = None, - emulator_name: str = None, - cache_dir: Optional[Union[str, Path]] = None, - expected_checksum: str = None, -) -> MultipoleDataFetcher: - """ - Get the default fetcher instance (singleton pattern). - - Parameters - ---------- - zenodo_url : str, optional - URL to download the emulator tar.gz file from. - If None, uses the default pybird mnuw0wacdm URL. - emulator_name : str, optional - Name identifier for the emulator set. - If None, uses "pybird_mnuw0wacdm". - cache_dir : str or Path, optional - Cache directory for the fetcher - expected_checksum : str, optional - Expected SHA256 checksum of the downloaded file. - - Returns - ------- - MultipoleDataFetcher - The fetcher instance - """ - global _default_fetcher - - # Use defaults if not specified - if zenodo_url is None: - zenodo_url = "https://zenodo.org/records/17436464/files/trained_effort_pybird_mnuw0wacdm.tar.xz?download=1" - if emulator_name is None: - emulator_name = "pybird_mnuw0wacdm" - - if _default_fetcher is None: - _default_fetcher = MultipoleDataFetcher( - zenodo_url, emulator_name, cache_dir, expected_checksum - ) - return _default_fetcher - - -def get_emulator_path() -> Optional[Path]: - """ - Get the path to the multipole emulator directory. - - Returns - ------- - Path or None - Path to the emulator directory - """ - return get_fetcher().get_emulator_path() - - -def get_multipole_paths() -> Optional[Dict[int, Path]]: - """ - Get paths to individual multipole emulator directories. - - Returns - ------- - dict or None - Dictionary mapping multipole l values (0, 2, 4) to their paths - """ - return get_fetcher().get_multipole_paths() - - -def clear_cache(model_name: str = None, clear_tar: bool = True, show_progress: bool = True): - """ - Clear cached emulator files for a specific model or all models. - - Parameters - ---------- - model_name : str, optional - Specific model to clear cache for. If None, clears default model. - clear_tar : bool - Whether to also clear downloaded tar files - show_progress : bool - Whether to show progress messages - - Examples - -------- - >>> import jaxeffort - >>> # Clear cache for default model - >>> jaxeffort.clear_cache() - >>> # Clear cache but keep tar file - >>> jaxeffort.clear_cache(clear_tar=False) - """ - if model_name: - # Clear specific model - zenodo_url = _get_zenodo_url_for_model(model_name) - fetcher = MultipoleDataFetcher(zenodo_url, model_name) - else: - fetcher = get_fetcher() - - fetcher.clear_cache(clear_tar=clear_tar, show_progress=show_progress) - - -def check_for_updates(model_name: str = None, show_progress: bool = True) -> bool: - """ - Check if updates are available for cached emulators. - - Parameters - ---------- - model_name : str, optional - Specific model to check. If None, checks default model. - show_progress : bool - Whether to show progress messages - - Returns - ------- - bool - True if updates are available, False otherwise - - Examples - -------- - >>> import jaxeffort - >>> if jaxeffort.check_for_updates(): - ... print("Updates available!") - ... jaxeffort.force_update() - """ - if model_name: - zenodo_url = _get_zenodo_url_for_model(model_name) - fetcher = MultipoleDataFetcher(zenodo_url, model_name) - else: - fetcher = get_fetcher() - - return fetcher.check_for_updates(show_progress=show_progress) - - -def force_update(model_name: str = None, show_progress: bool = True) -> bool: - """ - Force update emulators by clearing cache and re-downloading. - - This function will: - 1. Clear the entire cache directory (~/.jaxeffort_data) - 2. Recreate the cache directory - 3. Download the latest version from Zenodo - 4. Extract and set up the emulators - - Parameters - ---------- - model_name : str, optional - Specific model to update. If None, updates default model. - Note: This will still clear the entire cache directory. - show_progress : bool - Whether to show progress messages - - Returns - ------- - bool - True if successful, False otherwise - - Examples - -------- - >>> import jaxeffort - >>> # Force update to get latest version (clears entire cache) - >>> jaxeffort.force_update() - >>> # Update specific model (still clears entire cache) - >>> jaxeffort.force_update("pybird_mnuw0wacdm") - """ - if model_name: - zenodo_url = _get_zenodo_url_for_model(model_name) - fetcher = MultipoleDataFetcher(zenodo_url, model_name) - else: - fetcher = get_fetcher() - - return fetcher.force_update(show_progress=show_progress) - - -def get_cache_info(model_name: str = None) -> Dict[str, Any]: - """ - Get information about cached emulator files. - - Parameters - ---------- - model_name : str, optional - Specific model to get info for. If None, gets info for default model. - - Returns - ------- - dict - Dictionary with cache information including: - - cache_dir: Path to cache directory - - emulator_name: Name of the emulator - - has_cached_data: Whether data is cached - - extracted_size_mb: Size of extracted files in MB - - tar_size_mb: Size of tar file in MB - - downloaded_at: When the data was downloaded - - checksum_verified: Whether checksum was verified - - Examples - -------- - >>> import jaxeffort - >>> info = jaxeffort.get_cache_info() - >>> print(f"Cache location: {info['cache_dir']}") - >>> print(f"Downloaded at: {info['downloaded_at']}") - """ - if model_name: - zenodo_url = _get_zenodo_url_for_model(model_name) - fetcher = MultipoleDataFetcher(zenodo_url, model_name) - else: - fetcher = get_fetcher() - - return fetcher.get_cache_info() - - -def clear_all_cache(show_progress: bool = True): - """ - Clear ALL cached jaxeffort data. - - This will remove the entire ~/.jaxeffort_data directory. - - Parameters - ---------- - show_progress : bool - Whether to show progress messages - - Examples - -------- - >>> import jaxeffort - >>> # Remove all cached data - >>> jaxeffort.clear_all_cache() - """ - cache_dir = Path.home() / ".jaxeffort_data" - if cache_dir.exists(): - shutil.rmtree(cache_dir) - if show_progress: - print(f"Cleared all cached data from {cache_dir}") - else: - if show_progress: - print("No cached data to clear") - - -def clean_cached_emulators( - model_names: Union[str, list, None] = None, - clear_tar: bool = True, - show_progress: bool = True -): - """ - Clean cached emulator files for specific models or all models. - - This is a convenience function that provides an intuitive interface for - cleaning cached emulators. It can clean specific models or all cached data. - - Parameters - ---------- - model_names : str, list of str, or None - Model name(s) to clean. Options: - - None: Clean ALL cached emulators (entire cache) - - "all": Clean ALL cached emulators (entire cache) - - str: Clean specific model (e.g., "pybird_mnuw0wacdm") - - list: Clean multiple specific models - clear_tar : bool, default=True - Whether to also remove downloaded tar.xz files - show_progress : bool, default=True - Whether to show progress messages - - Examples - -------- - >>> import jaxeffort - >>> - >>> # Clean all cached emulators - >>> jaxeffort.clean_cached_emulators() - >>> - >>> # Clean specific model - >>> jaxeffort.clean_cached_emulators("velocileptors_rept_mnuw0wacdm") - >>> - >>> # Clean multiple models - >>> jaxeffort.clean_cached_emulators(["pybird_mnuw0wacdm", "velocileptors_lpt_mnuw0wacdm"]) - >>> - >>> # Clean but keep tar files for faster re-extraction - >>> jaxeffort.clean_cached_emulators(clear_tar=False) - """ - # Handle "all" or None -> clear everything - if model_names is None or model_names == "all": - clear_all_cache(show_progress=show_progress) - return - - # Convert single model name to list - if isinstance(model_names, str): - model_names = [model_names] - - # Clean each specified model - for model_name in model_names: - if show_progress: - print(f"Cleaning cache for: {model_name}") - - try: - clear_cache(model_name=model_name, clear_tar=clear_tar, show_progress=show_progress) - except Exception as e: - if show_progress: - print(f"Warning: Could not clean {model_name}: {e}") diff --git a/notebooks/jaxeffort_velocileptors_lpt.ipynb b/notebooks/jaxeffort_velocileptors_lpt.ipynb index 06ea9bc..50c8cf9 100644 --- a/notebooks/jaxeffort_velocileptors_lpt.ipynb +++ b/notebooks/jaxeffort_velocileptors_lpt.ipynb @@ -151,7 +151,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 20, "id": "b426c7be-d005-4833-9a28-9a8bd48dd5e3", "metadata": {}, "outputs": [], @@ -165,15 +165,15 @@ "b = biases + cterms + stoch\n", "\n", "cosmo_dict = {\n", - " \"ln10As\": 3.,\n", - " \"ns\": 0.96,\n", - " \"H0\": 67.,\n", - " \"ombh2\": 0.022,\n", - " \"omch2\": 0.12,\n", + " \"ln10As\": 3.044,\n", + " \"ns\": 0.9649,\n", + " \"H0\": 73.,\n", + " \"ombh2\": 0.02237,\n", + " \"omch2\": 0.13,\n", " \"Mν\": 0.06,\n", - " \"w0\": -1.,\n", - " \"wa\": 0.,\n", - " \"z\": 1.2,\n", + " \"w0\": -1.2,\n", + " \"wa\": 0.4,\n", + " \"z\": 0.8,\n", "}\n", "\n", "\n", @@ -202,7 +202,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 21, "id": "7b5177d3-821c-443c-bf7f-bdde28ccb404", "metadata": {}, "outputs": [], @@ -220,7 +220,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 22, "id": "515f6214-2926-454d-b1cf-ad6f0193073d", "metadata": {}, "outputs": [ @@ -228,7 +228,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "360 μs ± 7.7 μs per loop (mean ± std. dev. of 7 runs, 1,000 loops each)\n" + "297 μs ± 2.16 μs per loop (mean ± std. dev. of 7 runs, 1,000 loops each)\n" ] } ], @@ -238,7 +238,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 23, "id": "916a3464-7227-4839-ab4d-4ca15897f450", "metadata": {}, "outputs": [ @@ -246,7 +246,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "502 μs ± 60.4 μs per loop (mean ± std. dev. of 7 runs, 1 loop each)\n" + "334 μs ± 13.3 μs per loop (mean ± std. dev. of 7 runs, 1,000 loops each)\n" ] } ], @@ -256,7 +256,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 24, "id": "da9e6c4c-3dc0-4d40-9387-ca1eaa5e72b5", "metadata": {}, "outputs": [ @@ -264,7 +264,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "42.5 μs ± 832 ns per loop (mean ± std. dev. of 7 runs, 10,000 loops each)\n" + "37.8 μs ± 875 ns per loop (mean ± std. dev. of 7 runs, 10,000 loops each)\n" ] } ], @@ -282,7 +282,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 25, "id": "3f1jygrh4aw", "metadata": {}, "outputs": [ @@ -314,7 +314,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 26, "id": "9c5436a6-91cc-4ad2-9209-ea1bd5fe18e8", "metadata": {}, "outputs": [ @@ -322,7 +322,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "994 μs ± 25.9 μs per loop (mean ± std. dev. of 7 runs, 1,000 loops each)\n" + "985 μs ± 15.3 μs per loop (mean ± std. dev. of 7 runs, 1,000 loops each)\n" ] } ], @@ -340,7 +340,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 27, "id": "8d3a3406-c8bd-4228-a505-7364c37186b6", "metadata": {}, "outputs": [], @@ -350,23 +350,23 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 28, "id": "00ffef79-5ee9-46bd-9b03-bb6606a39f63", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 13, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -386,7 +386,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 29, "id": "f1c6acc7-21e9-4b7d-a089-a3ee642f2ac4", "metadata": {}, "outputs": [ @@ -396,13 +396,13 @@ "Text(0, 0.5, '$\\\\partial P_0(k)/\\\\partial\\\\alpha$')" ] }, - "execution_count": 14, + "execution_count": 29, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", 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", 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" ] @@ -431,7 +431,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 30, "id": "n0rk55ge7jk", "metadata": {}, "outputs": [ @@ -516,7 +516,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 31, "id": "f173ea44-36e9-4750-b64c-7b5c209fe8b2", "metadata": {}, "outputs": [], @@ -538,13 +538,13 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 32, "id": "0a1538e3-98b6-47d3-b445-36a7a9b3959b", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -579,13 +579,13 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 33, "id": "ace31b89-556c-4bd0-b9dd-b33ec50ecfb1", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -620,13 +620,13 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 34, "id": "004991ee-6082-4c73-931b-9e3faa0abbe8", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -661,11 +661,38 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 35, "id": "318b3780-5903-49b9-b7c8-780726573a13", "metadata": {}, - "outputs": [], - "source": [] + "outputs": [ + { + "data": { + "text/plain": [ + "Array([ 6726.08936812, 14047.51184664, 17821.87999421, 22617.2860001 ,\n", + " 28312.33809849, 34896.88394891, 41857.76549402, 48298.43766614,\n", + " 52671.02298032, 53070.30407845, 47944.09501386, 42664.45860658,\n", + " 33555.78558368, 28208.01423575, 25039.71256537, 22003.06182409,\n", + " 18639.16919378, 15693.3918783 , 13711.1481379 , 12523.81183711,\n", + " 11620.48523247, 10652.72806455, 9635.38245385, 8753.12231217,\n", + " 8101.94579445, 7629.30272977, 7223.94533062, 6817.30334869,\n", + " 6415.15990977, 6054.99008524, 5755.79865307, 5506.76523772,\n", + " 5284.1968405 , 5071.43303725, 4868.2813622 , 4681.69366744,\n", + " 4514.53455295, 4365.32072981, 4228.45606543, 4099.88640113,\n", + " 3978.49959933, 3864.47928137, 3758.28169373, 3660.28475712,\n", + " 3568.80258954, 3482.82121043, 3401.76925694, 3324.95083173,\n", + " 3252.06486174, 3183.2346922 , 3117.88560363, 3055.84640859,\n", + " 2997.22490937, 2941.10973571, 2887.59161324, 2836.35401601,\n", + " 2787.36771503, 2740.37439086, 2695.37775727], dtype=float64)" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "P0_emu" + ] }, { "cell_type": "code", diff --git a/notebooks/jaxeffort_velocileptors_rept.ipynb b/notebooks/jaxeffort_velocileptors_rept.ipynb index bf61d70..d8e0288 100644 --- a/notebooks/jaxeffort_velocileptors_rept.ipynb +++ b/notebooks/jaxeffort_velocileptors_rept.ipynb @@ -163,21 +163,21 @@ "# alpha0,alpha2,alpha4,alpha6: counterterms\n", "# sn0,sn2,sn4: stochastic contributions to P(k) and sigma^2 (here labeled by powers of mu).\n", "#\n", - "biases = [0.7, 0.26, 0.67, 0.52] # [b1, b2, bs, b3]\n", - "cterms = [-3.4, -1.7, 6.5, 0.0] # [alpha0, alpha2, alpha4, alpha6]\n", - "stoch = [1500., -1900., 0.0] \n", + "biases = [0.71,0.26,0.67,0.52]\n", + "cterms = [-3.4,-1.7,6.5,0]\n", + "stoch = [0,0,0]#[1500.,-1900.,0]\n", "b = biases + cterms + stoch\n", "\n", "cosmo_dict = {\n", - " \"ln10As\": 3.2,\n", - " \"ns\": 0.96,\n", - " \"H0\": 74.,\n", - " \"ombh2\": 0.022,\n", - " \"omch2\": 0.12,\n", + " \"ln10As\": 3.044,\n", + " \"ns\": 0.9649,\n", + " \"H0\": 73.,\n", + " \"ombh2\": 0.02237,\n", + " \"omch2\": 0.13,\n", " \"Mν\": 0.06,\n", - " \"w0\": -1.5,\n", - " \"wa\": -1.2,\n", - " \"z\": 1.2,\n", + " \"w0\": -1.2,\n", + " \"wa\": 0.4,\n", + " \"z\": 0.8,\n", "}\n", "\n", "cosmo = jaxeffort.W0WaCDMCosmology(\n", @@ -232,7 +232,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "363 μs ± 3.8 μs per loop (mean ± std. dev. of 7 runs, 1,000 loops each)\n" + "322 μs ± 9.56 μs per loop (mean ± std. dev. of 7 runs, 1,000 loops each)\n" ] } ], @@ -250,7 +250,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "481 μs ± 87.8 μs per loop (mean ± std. dev. of 7 runs, 1 loop each)\n" + "460 μs ± 97.2 μs per loop (mean ± std. dev. of 7 runs, 1 loop each)\n" ] } ], @@ -268,7 +268,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "47.3 μs ± 3.04 μs per loop (mean ± std. dev. of 7 runs, 10,000 loops each)\n" + "38.4 μs ± 738 ns per loop (mean ± std. dev. of 7 runs, 10,000 loops each)\n" ] } ], @@ -326,7 +326,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "1.24 ms ± 53.6 μs per loop (mean ± std. dev. of 7 runs, 1,000 loops each)\n" + "965 μs ± 18.1 μs per loop (mean ± std. dev. of 7 runs, 1,000 loops each)\n" ] } ], @@ -361,7 +361,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 13, @@ -370,7 +370,7 @@ }, { "data": { - "image/png": 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", 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", 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", 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", 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" ] @@ -435,7 +435,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 31, "id": "n0rk55ge7jk", "metadata": {}, "outputs": [ @@ -508,17 +508,17 @@ " beyond_gauss=True, one_loop=True, N=2000, extrap_min=-6, extrap_max=2, cutoff=100, threads=1)\n", "\n", "# Compute tables\n", - "PT.compute_redshift_space_power_multipoles_tables(f, apar=1.0, aperp=1.0, ngauss=4)\n", + "PT.compute_redshift_space_power_multipoles_tables(f, apar=1.0543506224996766, aperp=1.040736963937694, ngauss=4)\n", "\n", "# Combine bias terms to get final multipoles\n", - "k_v, P0_velocileptors, P2_velocileptors, P4_velocileptors = PT.compute_redshift_space_power_multipoles(b, f, apar=1.0, aperp=1.0)\n", + "k_v, P0_velocileptors, P2_velocileptors, P4_velocileptors = PT.compute_redshift_space_power_multipoles(b, f, apar=1.0543506224996766, aperp=1.040736963937694,)\n", "\n", "print(f\"CLASS+velocileptors computation complete!\")" ] }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 32, "id": "f173ea44-36e9-4750-b64c-7b5c209fe8b2", "metadata": {}, "outputs": [], @@ -540,13 +540,13 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 33, "id": "0a1538e3-98b6-47d3-b445-36a7a9b3959b", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -581,13 +581,13 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 34, "id": "ace31b89-556c-4bd0-b9dd-b33ec50ecfb1", "metadata": {}, "outputs": [ { "data": { - "image/png": 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yHG7o5VOwd8MoDDf/hCPr/w+9HnxH7pKIiOTzeEnLzynOW9N7fisfhhXnte08sqfjNbVi8eLFiIiIkC6Jnk+j0SAuLg7Z2dlNQllcXFyTQRiOalFr7VJrY8uhJ2OLnRf44bdSAMCVwy6RuRInmrQIABB79nOcOq6/yMZERF7Mr1vLN1//dmwbcPFtO6mxT9yCBQug1WqlaUUaW+GMRiN0Oh1ycnKg1+uRm5sLAJg5c6a0zbn7atTYJ65R436be11hYSFmzPjf3K7nv7alY3gqtth5OKvViuKS0wD8kNA/XO5ynGb4Fdfjmx9uxFrjQPTMr8IzfeWuiIiILqbx8mpjYEpLS0NWVha0Wi1WrlwprQUPAImJiZg1axb0ej0WLFiAzMxMaf13oGFgQ+Ol2cLCQiQkJECv12Pnzp3SoIu4uDhkZmZiyZIl0qCLnJwcqYZzB2Q0tgamp6cjMzMTK1eudOo0La7CtWLh2WvFFv+8A/1zJuMnDMboJ7ZBqfLeRtgfi8tw+6pt8FMpsWn+JERpAi7+IiIiD+Tpa8WGhYWhvLxc7jI8iqPWivXeFNBFlB74ESqFgFqt9upQBwDjYiJw+YBwmG12ZH17QO5yiIjoHCtXrkRGRgb0ej0SEhLkLqfL8u4k0AWIEw1DwSsjRslciWs8kjQQs1RfYs6uW3H66G9yl0NERL9LTk5GREQEcnNzkZWVJXc5XRb72Hm4CNPPAAC/SxIvsqV3GDewB4K6/YLeZgN2rH8WPTmvHRGRW9BqtViwYIHcZXR5bLHzYLU11ehvPQwA6DP8CnmLcSHFpIUAgDGlX+L00V/lLYaIiMiNMNh5sMM/b4OvwoYyhKJHn4Fyl+MyI664Dnv8xsBPYcPR9c/JXQ4REZHbYLDzYMaDPwIAjgcOhULZtU4lW+2IqCvgxBVdh6POdddKA16mqKYHPrWNhyFqktyluFxjq52vwoaj65+VuxwiIofy9fUFANTUtLDOK3mdxnPdeO47ioMnPNjnVUOx39IXb8V3zWHliqsXAV/PxOjS/+DUyePo1ZuzFhORd1CpVNBoNDhz5gwAIDAwEAqFQuaqyBmEEKipqcGZM2eg0WigUqku/qJWMNh5KJtd4FBpNQBgYGSQzNXIY8S4a5G95W68XTYMl2034tlbGOyIyHv06tULAKRwR95No9FI57wzGOw81MkzpYiyncApVS/0DQuUuxzZ9Lv1KRxYtQ2H8o9h7qQYrkZBRF5DoVCgd+/eiIyMhMVikbscciJfX99Ot9Q1YrDzUGX7NuNb9V9RrBwAlfJGucuRTeNqFNsPGfDmRx/jb7PvgsrXT+6yiIgcRqVSOexNn7wfB094qJqSfQAAU2C0zJXI79lbRuBBvy/x9zN/RdHbD8tdDhERkWwY7DyUsqxhig+zJkbmSuQ3uGcwJowdC6VCIOHkx9jzzbtyl0RERCQLBjsPFVx5CADg23OIzJW4h8uv/yO+j7wDAKDdmoGTB3fLXBEREZHrMdh5qJ6WowCA0OgRMlfiPi67/5/42XckuqEO5k/uRF21Se6SiIiIXIrBzgMZS08jAg2hpXfMSJmrcR9qPzW63/MRziIMl9iOYv+q+wDO2k5ERF0Ig50HOqX/CQBwGhHoFqyRtxg306vPJShJeQNWocQYow6bvs6VuyQiIiKX4XQnHuhgbSC+skxH3+7BSJO7GDc0evx12Kz/K77cb8LnPwRh3SgThkeFyl0WERGR07HFzgPtqQnHy7bp+Fk7S+5S3NaEO/6G0oFpqLfaMffDQphqObknERF5PwY7D3S8vBYAEB3edVecuBilUoF/zhyDvmEBqDScwvcrHoLdynBHRETejcHOAwWcLkI/xWn003CFhdZoAv3wxu1jsEb9HG40fYwTi2Ox9+u3IGxWuUsjIiJyCgY7D/S46Sl8p34UMeKo3KW4vZH9wmEYuxAm0Q3RtmMY/uM8HH9+NPZ8tYoBj4iIvA6DnYepqTIhHBUAgO7Rg2WuxjNcft1dsPxlNzb3mQ2j6IZo23GM3P4YTvzfKBR+8yHsdk6JQkRE3oHBzsOcOfYbAKAC3RAa1l3majxH9+49MHHWUtgf+gnfRc+FUQShr/0EcjYX4rqXv8eXP5XAxoBHREQejtOdeBjTyYMAgLOqngiRuRZPFB7RHVf96QWUly/At+tfwX8PJaL8dCUe/LgIT3f7G+J9D6MmeABExEAE9BqCiEtGoFd0DFQ+/FUhIiL3x3crD1N75jAAoMK/t7yFeLiwsHBcfc9T2FRjwTtbD+HtHw5hqGUvRtgOAHWFwFkA+xu2rRe+OKyKQmZ0FqJ7hGKcNgJXDe4BPx82eBMRkXthsPM05YcBAPVB0fLW4SVCA33xSPJg3D9BC32RD7Yd/xn2st8QYNIjrO4oomwnoVZY4G+rwjcHDMABA9764RBe8H8X/cKD0C1+JkaMTYFKpZL7v0JERMRg52n8qk4AABSafjJX4l2C1D4YNTYJQFKTx21WK04e/w1nT5bgOcVAHDhVie9/PoRbLN/C32AB8tbhZF53FEdOQfjYP+DS0VdAqWJLHhERyYPBzsN8qZyI760RGNtvnNyldAkqHx/07j8UvfsPxZjfH7PdOAS/bs1CbVE2hpRvRm+UoveZj4DPP8LhL/pgb/97cElyOoZHhUChUMhZPhERdTEMdh5mXfUoGK1D8XVMotyldFkqH18MvWo6cNV0WOqq8fP3ubD9tBaXVmxFf5zAx7/q8cC+H3Bpr2A8NXU4xmoj5C6ZiIi6CAY7D1JZZ4GxpmFZrL5hATJXQwDg698NI1L+CKT8EXVV5di9aTUqywZA/ZvA/lOVeP3NlbD33I+hdy5DWEQPucslIiIvx2DnQU6ePolxyr2oUvdCNzVPnbvxDwrD6BvnYjSAhTUWLPvvz7hv16MYUH4aZa9+i+1jFuGyqelQKNkHj4iInIPvMB6kVr8Dn/j9H5YrX5K7FLqI0EBfPDstFpYbluOosi8iYMLluxbi5xeuxpEDu+Quj4iIvBSDnQepNxwDAFT58ZKepxh8+fXovbAAOwY8gDrhi5HmXej9cRJ+fPOvqKutlrs8IiLyMgx2HsRmLAEA1AX0krkSag9fP39c9sfnYbjne+wJSISfwopxx9/EMy+/ji0HS+Uuj4iIvAiDnQdRVTUEOxHEVSc8UdSAoRgx/xsUXb4cnymT8bFxGO54czseWV2E0gq23hERUecx2HkQde1pAIAqNErmSqijFEolYq+7F0kLVuOeKwZAoQA279qP2pdiseODf6CuplLuEomIyIMx2HmQYPNZAIA6gsuJebpgf188NXU4PvvzePw17HtE4zQuK34FVUtGoCAnE1ZzndwlEhGRB2Kw8yDh9ob+WCGRXE7MW4yO1uC2eS9j2+jncQI90R1GxO99HmcXj8SuL/4Fu9Uqd4lERORBGOw8RJ3ZisWW27HcOg1hUTFyl0MO5OPri7G3PoCIhbuxZcginEUYeoszGFOwCIcXJ+C7/SUQQshdJhEReQAGOw9xqqIe2barkaWYiZDQMLnLISfw9w/A+NsXwv+vu/HdJQ/BKILwQ/1A3P1uEW5buQ0FR8rlLpGIiNycWy5foNPpAABGoxH5+fmYOXMm4uLiAAB6vR65ubnQarXQ6/WYPXs2NBrNRZ/zdKcqGvpc9Q7158LyXi44OBRX3fssDGUP4cz3B+G304jthwz4x4qP8c/Q1fCf8iQuiU2Wu0wiInJDbhns0tLSsGHDBiQnJ8NgMCAtLQ3FxcXScwUFBQAagtysWbOQk5Nz0ec8XeXJgxin3IuIwEvlLoVcJDyiBx67pQf+MKkWL+t+wzW7X8KQup+A9dPxi+5yBE56FJeMuRoKX3+5SyUiIjfhlsEuJydHaqED0KRF7lxarVZq3WvtOW8QXPwlPvF7BTvrUgBMlbsccqEoTQAyU0fhcPwb+P7TZzDO9G8Mq94O/Ps21P3bD4cCRqImegJCk/6KmMhgtugSEXVhbhnskpP/d5kpJycH6enpABou0YaHhzfZNjw8HIWFhdi5c2eLz50bEj1W5UkAgIWTE3dZ/QcMRv95H+LA3t04+9/nMaTiR/RQmDC0tgC79huR/NNl6BGsxlhtBG7z34b+Q+MRNTgeCqVK7tKJiMhF3DLYAUBhYSGys7ORkpKC2bNnA2joc9ccg8HQ6nPnq6+vR319vXS/oqKi0/U6m19Nw+TEyhBOTtzVDRk+GkOGZ8NssWHPz/ko25OHvQYl/EqVOFtZj427i/FP9ePw2W2HEcE4HBwH6yUTEDVmCnprR0Ch5JgpIiJv5bbBLi4uDlqtFhkZGcjNzUVqamqL27YU6lp6bvHixXj66acdUKXrBJob5rDz07DFjhr4+aowMnYsEDsWkwD8yWLDrmNG7N27Bz/9HI8hdT9Bo6jEmMrNwM+bgZ+fQyk0WB/yB+zuPQO9Qv3RN9CGYXW7ENijH0J79kePnn3g58sWPiIiT+W2wQ5o6FuXlpaGlJQUlJeXQ6PRXNACZzAYoNFoWn3ufIsWLcK8efOk+xUVFYiOdu/VHIKtZQCAgDC22FHz/H1VGKuNwFjtJOCmSaitrcNPuzaj4pcNCD21DYPNv6C7wogTZZX4/EzDusOjFQdxt/oJaR91whdHFREo94lElbonfu0xGaa+k9ArxB89uynQQ1WD0IheCAvphm5+KvbnIyJyM24X7HQ6HdLS0lBe3jBnl1arBdAwOCI5ORlZWVkXvCYhIQFarbbF586nVquhVqsdXLnzCLsdYXYjoACCe/SVuxzyEAEB/hg1bgowbgoAoLqqEsW/7MBYexh6mzU4VVGHgNPlOHhqMMIsZxGBcvgrLOiHU+hnPQVYgQ3GXnh7fx8AQJziV6xTPwUAMIlAHEIoKpWhqPbRoNYvHPvCrsHZHuMQ1s0PPdVW9BEnERDWC8HhPREeHARNoB/8fHgZ+KLsNsBmhs1SB4u5HlZzHWzmelgUvqjv1hsWqx0Wmx2qE9shLPWwWS3STdgssFvNqPHVoCR8HKx2O8w2Ae3hbKgsVRA2K4TNAtgtEDYrFHYryn26Y3N4Giw2AbPNjqmlbyJIVMPu4w+hUgM+/oBPw7/WgAiU9LkOah8l1L4qRFb8DLXSDh8/f/j4BcBHHQhf/wD4qgPgpw6EOjAIah8l/FRKfgggchG3C3bh4eFNBk8UFhZCo9E0OwBCr9cjISFBarFr6TlPV11lQpCioU+gpkcfmashT9UtKBjDLkvCsCaPDgNwJwBAWOthOn0UxlOHUFN6BBbDMcQEJOJ2ezROmeoQXfYrbFVKqGBHqKIGoagBxEnAAsACfG/sjvcONrQoxysOYK36f90dKkQgSkQwzApfWBV++FQ9FT8GJSNI7QOt8jSmVXwAhY8aCh9/KH39ofTzh+r3sFAfdTlE38sQ5O+DENTC7/AGWC0WWCxmWC3mhq9/DzZnQ4ajJGQ06ix2oPoshh9+H3abFXZbQ+gRNqsUagr84rHJbxKUCgVCRCXur3gdaAwfUghRAgpgv38stoZcB6UC8Bd1uK3sVQAKQKFAw5aK31+jwKHAEdgWPAUWmx2w1CH99NNQCTNUwgqV3QwfYYXP7/fzVWOwVDULZpuAzWZFvv12+CjsAADV77dGG21jcJ9lgXT/F/W9CFTUoznb7Zfir+b/tcTuVL+K7orm+xL/ZB+ANfpx0v1F6q/RV1Ha7La/2fvgvvz/Xd342m8BhiiPN7vtCRGBxPpXpfvv+i3FIOVxWOALi8IPFoUaFqUa9b6hqPXvgU3axxAe6IfwID8MqNsHjZ9AN00kgsN7IDS8J1S+nvNhnEhObhfs4uLiMHPmTKxcuRIAkJeXJ81NBzSMks3IyEBiYiLy8/ObzFPX2nOerLTaiucs96OnqgqPBofKXQ55KYWPGpo+g6DpM0h6bHSTLS4D7A8BtUbUmU6j0nAKNeWnUF9xBtbKM4gNuQJBqoEoqzYj8mwJjKc1CLZXQAU7QhQ1CFHUSHvKqSrDz6aGoGFVFCNB3fLURMsK0/CazQIAGKo4gq/Ui1rcNs96C160NrQKahUl2Kh+v8Vt91f4odA6BgDQG2W4wn9zi9seNgnoTjR8uAxFFV7x/2+L254qM+Bzy0gAgB8seMN/e4vb/lIfhRJLnXRfqC9s1aoXPrDAB2b4wk+lhJ+PEj4qBQ6LvvCHGTaFD+xQNfyr8IFQqlDqG4MJ4d3hp1LCV6XEL2XXIEDUAgofCJUPoPQFlD6AygfV/r0wP3oI/FQN+z125E84ZTYAlnrAVgeltR4KWx2UNjPKVeGYEt4T9VY76i12VJX2xgmrDb7CAj9hhi/MUMMMH9hhFr5N/h+RMKAPzv7+H/39ZgdgBU7XaPDHk//rR73G72kMUx5o8vpq+KNSEQKTTwRejH4NEUF+CAv0Q2KlDhEwwTe4O/xDuiMwtAdCwnvAP6QHFP4aQOV2b3NETqUQXIQSFRUVCA0NhclkQkhIiNzlXGDHIQNmZP2I/hGB2DT/arnLIWo7ux2oM8JedRbVprOoq61BXW0NygMHoMyvN6rqrLAbj6Pn8f/+fsmxDnZLHYS1DsJaD4W1HpuUY7HBHofKOgt6mo/gGZ93IBQqKcQIhS+E0gdQ+mBX4DjsDr0GAb4qhCsqMMXwMZQ+vlCofKBU+ULl4wuljx9UKh/UdB8JU8+xAAQU5ir0PbwWdgFANKQOIey/f2lHefBgnOx+BYQAFNZaDDn8YcNzsDes4/v7TQAoD9TiWO8U+KkU8FEqMKhkPRQ+fr+3SPpB6aOG0kcNha8fENgd9vAY+CiV8PNRQF17Fj5+avj4qqHy84evrx98fVTwVSmhUnrQpUybFcJWD4syAPVWG+qtdtjO/AprjQkWcy1s9bWwmmthra2EucqAGosdP4TdgvJqM8qqzfjjiWfQ3/wrgkQlQkQ1lIr/vU2dFhpcXv8v6f4av6dx2XkhsFEd/DA9fB3Cu/khvJsfbjV9gN7WExBBPeHbXYug3gMR1mcQ/CL6N1xuJnJT7ckpDHZw/2D3759O4oGPC5HYPww5c66Quxwi2TT+uWJ/ra7DarHAWF6GyvLTqCovRVVNNQ4GjkZ5tRmGajMSjr6F8Go91BYjAmwVCLZXIhRVCFHU4JQIw9j616V95fg9hUTlrxccww4Fzioj8cKgT9AnPAh9wgIw1LoPkSEBiIgeDHVIz3MuzxO5XntyCtuoPUD9qQMYp9wLrf9IuUshkhUDXdfj4+uL7pG90D2yl/TYuCZbvNTknhAC1WYbjlVUw2gqxzvWQJRVm1FebcbRY/fjdOVhqKpPI7j2OLpbTiIap9FNUY86q8Cnu09J+1nr9ySilL8BAGrgjzOqXqgI6IP6oH4Q4TGoHXMP+oYFoI8mAP6cIojcCIOdB+h95FN84vcutldNB3Cd3OUQEbkthUKBILUPgnqEIrrH+X2S05vcE0KgrKoe+pMnUHamBAttUThRXovj5TWoPtEDJRYDesGAQEUd+tsOA1WHgaotOFbSAxMK/zcM6Z2AlxHpU4XKgL6wBPeDMmIAAiJjENZ3CHpHRcPfj2+15Dr8afMAquozAAB7UKTMlRAReQ+FQoHuwf7oHhwDDI7BpCbPfgUhBMorqnDm+G+oKDkI89liKIxHUFavwhAENwRAsw3D7QcQaTEClr1ABYAT/9vLQXsUbvN7BX3CAtE3LADJ9q3QhISix5DLMDhmEKcAIodjsPMA6vqGqQdUwb0usiURETmKQqFAeGgwwkPjgOFNp9yaioYWP1OtBWUH3kfJqd9gKT0ElfEIAqqPIby+BN3tZ3FGaFBaZUZplRm7jxnxD/Uy9FKUA4VAiYjAYf+hqOkxGt20YzFg1BXo1b27PP9Z8hoMdh6gm7lh1Ql1GIMdEZG7UCgU0AT6QRM7EcDECzewmjHCVIZ/1wfieHktjhuqYSgYA2v1IURZjiBKUYao+h+A4z8Ax1/Hzk2DcWvAC4jtp0FsdBjGacoxcMhI+Kv9XP5/I8/FYOcBQm0NS6UFhnNyYiIij+Hjh5CI3hgOYHjU7/39JnwGABB1FTi1fzvOHtgKZUkBelb8jD1Ci5OmOpzccwqb9hzGfeo/oRZq7PEbDFP4SPhdchn6jpiA3tFaDiSiFjHYuTmb1YowYQIUQCiXEyMi8goK/xD0GpOCXmNSpMdm1tZg2MlaFB414uxvO1F3Qo0g1GGk5Sfg9E/A6Y+AHcAZhOPbiNtgGHk/4vppMLJvKAI5QIN+x58EN2csO4WI35cYCusRJXM1RETkLIEBgbhcG4jLtRHApBgI23Sc1O/BqV++h+3YToQb96Cf5TAiFQb8cqoa753YDwAYojyBrIBXURY6Coq+8eg1dDx6D46DQuV7kSOSN2Kwc3Nl9SostdyPSL96zPPjzOhERF2FQuWD3oNi0XtQrPRYXXUFin/eisEVGlx/xheFR4wYVf0b+tuOor/hKGD4EvgJqIUaR9WDUdNjNDDmDxg08nIEqfmW3xXwLLu5UosvVtuuQUxQN8yTuxgiIpKVf7cQDLn8WgwBcMfvj506dSl27h6NukM7EGLYjQH1BxCsqMWQ+j3A8T24R98bm9caMaRnMG7qXoKrVD8jfPAV6D30CigDNTL+b8gZGOzcXFmVGQAQEcTWOiIiulCvXn3Qq9edAO4EAJgtVuzbX4TS/VuA4wU4Wz8CwgjsP1WJG0v/g5E+64EDrwJfACU+0SjvkYiQMVPRN3YKFH6Bsv5fqPMY7Nyc5fSvuEL5M7TqEXKXQkREHsDP1wdDRyYCIxMBABMAnKmsQ9FRI6p3HcWWY0b0q92HaMUZRFmPIerkMeDkOtR+pcaKoe8jdkwcxmojuFSah2Kwc3NRRz/Hx35vYVvVrQBukLscIiLyQJHB/pgyvBcwfC6AubDY7Nh36BBO7v0eOLgBQyt+gAp2vFJkgSjKR4CvCs/20GFgj26IHjsdEf1HApxixSMw2Lk5RW3DqhMigLORExGRY/iqlBg6MAZDB8YAuAe19VYU7t2LPxxRYuP+MzhlqsHEsmz0MFQAB5ajRBmFk70mISz2FgyIu4Yjbt0Yg52b861rmJxYGdRD5kqIiMhbBah9MD5uNMbHNSyVtu/4Wfy86c8IOZqHEebdiLKXIKrkY6DkY5j+HYTCyFthnfQPjB8YwTn03AzPhpsLMDcEO9+QSJkrISKirkChUGBYdCSG3bUIwCKUlpVh59b1UB74CpdW/ogwRSUOlBjxwvs74eejxERtMO7vtgWXjJuGXv0GyV1+l8dg5+aCrOUAALWG68QSEZHrdY+IQPeb7gNuug/15nrs2rEB9SdV6Kv3xfHyWlgObsLlfkuBfc/joEqLM72vQVjczRg8+kqoVEq5y+9yGOzcXKgwAQCCwnrKXAkREXV1aj81xlx5PcYAeEgI/HamCge2GPHLvhEYYt6LgTY9Bh7XA8ffxJnPw3EwbAIsl/0ZcbHxCPZnvzxXYLBzY+b6OoSgGgAQ2p3LiRERkftQKBQY3DMYg6fdAeAOGM+exMGt66D67b8YUrUdkTAgsnw9kj6/Eke/NODyARG4uZ8Z44Zdgr59+8ldvtdisHNjhqp6/NMyCz0UFZgXxsETRETkvjQ9eiPh5gcAPABLfQ1+2f4VDL9shqgcBEtZDX44WIqZR15B1Jbt+NnnUpyJugYRcbdg+Mh4+PhwzjxHYbBzY2X1QLbtanQPUuMxFX/oiYjIM/iqAzHsqunAVdOxEYD+bBU27jsN7Q81UJoFRtj2Acf2Acdex5H1vVEcPgG+w27EqCuuR2ggL9l2BoOdG2tcTqx7kJ/MlRAREXWctkcQtD2CgKu+R8XpQzi8dS18D36NgdUFuAQncYlhDXZ9txNxG32RcEkYkoZGImlgKGKiOIdrezHYubHas3pcofwZPdUD5S6FiIjIIUJ6DsCoWx8D8BhstSYUb/8CtT9/ia1VfWAzCmw/ZMAvh47jD+oH8YM6Ada4+zD2mpvhz/ny2oTfJTcWeuQbfOy3DDtrrgEwXe5yiIiIHEoVEIqYSXcCk+7ECAA3GWqwcf8ZlBV+hqDSOlxp/gHY9gOKt/VB8SW3Ydi1s9G3N6f/ag0nmHFjoroMAGBTh8lcCRERkfNFhwfij1f0x7wHH4Hx7g3Y23s6auCPGJzA5CMvImzFKGxa9gdsLdwFu13IXa5bYoudG1PVNgQ7e2CEzJUQERG5lkabAE3627DVmrDvmzcRvOc99LUewVWV/8GENZPhu6Ecd469BGnx0RxwcQ4GOzfmW9+w6oSyG4MdERF1TaqAUAy9+a/A1Hko+WkD9u7YiIoTvVFZVoPn/r0PEXkPIyyyD6KS5mLw0NFylys7Bjs3prYYAQCqIM5hR0REXZxCgajRyYganYztZis+KyrB1z9sx80V30NZKmBfvRqF6jiYY+9DbNIMqP265owSDHZuLNBqBAD4hzLYERERNQr088EfLu+H2xN64+AWOyzbVmFYTT7izAXA9gKc3P4kDkanYtC1D6BXn661ygWDnRsLtlcAAAI1XCeWiIjofAqVLwZdNRO4aibKju7D4a9fx8ATn6I3StH72Ar87V8WlF76B9w9rj+uiImAQqGQu2SnY7BzU3a7QKb1NkQIE+6N7C93OURERG4tot9QRMx6DZa6TOzWvQ/VT6vxad141Ow9ja/3nsY9mt2Y0l+JEdfNRnBouNzlOo1CCNHlxwtXVFQgNDQUJpMJISEhcpcDADDVWDD6mW8AAAeeuxZqrqNHRETULr+ersQHPx7BusJjyMV8DFUeQ7Xwx8/dr0XPa/6M/sMvl7vENmlPTnFYsDt8+DBycnKQl5eH8vJy6fHw8HCkpKQgNTUV/fv3d8ShHM4dg53+bBWueXEzgtQ++PnpKXKXQ0RE5LEqa2qx7/OX0OvXj9DPfkJ6fL/vMNSOuRcjku+CrzpAxgpb5/Jgt3DhQigUCsyYMQOxsbEXPF9UVITs7GwoFAosXry4s4dzOHcMdrsP/IYl762FMqQ3Plj4R7nLISIi8njCbsferf9G/Y8rMapqC3wVNgDAf5UTsP+Kl/CHy/ohMsRf5iov5NJgt3TpUsyePRuhoaEX3dZkMuGFF15wu3DnjsFuV97HGLNlLn71GYzBf8+XuxwiIiKvcvrEIRz8778w8FguFphnYbN9NHyUCswcosJdAyoxZPwtUKjcYyiCLJdiPZk7Brv8dS8j8acnsDvgMozOyJO7HCIiIq9kNpvx1d7T+GDbMew8Uo75PqvxgM/nOKnsiVMDb8fg6+aiW5i869O2J6e4RxSlC9iqSgEAZj+uE0tEROQsfn5+uDk2GjfHRmNviQkn1m+E6VQ39LafRu9fl8N84DX8FH4Nwq/+M/qOnAS4+ZQpSrkLoBbUNKwTa/NnsCMiInKF4VGhmDz3RWDePmwe+hT2KwfCT2HFqPJv0HfdLdi/+Ep8/fNJWG12uUttkcOD3dKlS5GYmCjdX7t2LQ4fPuzow3g9Zd3vI4sDuE4sERGRK4WGhmLizEcx+O87UThlHX4ImoI64YsdNb2R/mEhJi7dhNc3/obyo3vlLvUCDg92Wq0Wa9aske5Pnz4dhYWFjj6M1/M1GwEAim7eO4kiERGRO1MqFYgbl4QrH1uD0vSfYLzsUYQF+uKEsRYb875A2NtX4OCSq7D7t8NwlyELDg92cXFxKCoqAgDMmTMHgwYNQn4+R3W2l7/FCADwDWKLHRERkdz6RkXhoanj8eOiJLyYNhrXhp+EVShhqTLgDx/sQ43ZJneJABwweGLQoEGIi4tDSkoKEhISMGbMGERERGDjxo2Ij4/HihUrHFFnl5Otugn+NaMwuddIuUshIiKi3/n7qjA9vi8QvxR79/8Jedt34baIS9BN7R7jUTtdRVJSEtLS0pCXl4cVK1agqKgIcXFxAIBFixZ1usCu6gtLIspso3Fzr8Fyl0JERETNGH7ppRh+6aVyl9FEp4NdY4tcUlKS9FhRURF0Oh1WrFiB+++/HykpKcjOzu7soboMIQSMtRYAQFign8zVEBERkadwSrthbGwsYmNjMX/+fADAoUOHnHEYr1VRVY1x+AnliiBoAtyjaZeIiIjcX6dSg8lkQnl5Ofr379/qdgMGDJC+rqioAAC3WeHBHVWdPYIP/RajRqjh7/eg3OUQERGRh+jUqNjQ0FDk5eVh3bp1bdp+7dq1WLNmDUPdRVQbzwIAKhTBMldCREREnqTT1/lmzZqFoqIizJgxAzExMUhMTIRWq4VGo4HRaIRer8eOHTtw6NAhpKenY/r06Y6o26vVmhqCXbWKAZiIiIjaziEduGJjY7FmzRqYTCasWbMGO3bsgNFohEajQUxMDNLT05tcjqXWWSob1omt9WGwIyIiorZzaM/80NBQzJo1y5G77JKsVQ3rxNb7auQthIiIiDyKw1eeIAeoMQAArGqNvHUQERGRR3FasNuwYQMSEhIwd+5cHD58GEDD4Im5c+c665BeQ1FXDgCwB3CdWCIiImo7p02SlpeXh5ycHOj1eixYsACPP/44pk+fjoULF170tYWFhdDpdACA/Px8rFq1ChqNBgCg1+uRm5sLrVYLvV6P2bNnt+k5T7LD/0p8a/HDiF4T5C6FiIiIPIjTgl1iYiIGDBiAAQMGICkpCUuXLoUQok1BS6fTYcGCBQCAJUuWICkpCQUFBQCAtLQ06Wu9Xo9Zs2YhJyfnos95kh2KEfje1gsvRY2WuxQiIiLyIA65FLtr165m57JbtmyZ9PX8+fNhMBhQXFzc6r4KCwuxePFi6X5qaioKCwuh1+uh1+ubbKvVaqWWvdae8zTGmoblxDSBvjJXQkRERJ6k08Fu1apViIuLQ2pqKiIiInDkyBEAwPTp0xEbG9tk23Nb3loSFxeHVatWSfeNRiMAIDw8HDqdDuHhTfudhYeHS5duW3rO0/Sr2oXhikPQ+NrlLoWIiIg8SKcvxebl5cFubwggOp0Os2fPxtdffw2gIcidry3z2aWmpkpfZ2dnIzk5WZrwuDkGg6HV585XX1+P+vp66X7jMmfu4oW65xCsrsUx+wQAveUuh4iIiDxEp4NdYmKi9HVycjIUCgV27dqFMWPGdHbXMBqNyM3NvWgrX0uhrqXnFi9ejKeffrqT1TmHxVyPYEUtACBIEylzNURERORJOn0pNiwsrMn9pKSkC/q7dVRGRgby8vKkARcajeaCFjiDwQCNRtPqc+dbtGgRTCaTdDt27JhD6nWEyvKz0tfBmu4yVkJERESeptPB7mKtaR21ZMkSZGRkQKvVwmg0wmg0Ijk5udltExISWn3ufGq1GiEhIU1u7qLS2LCcWAW6wceXgyeIiIio7Tod7LKysqBSqTBo0CDMnTsX69atu6DFbteuXe3aZ25uLuLi4qRQt2bNGmg0Gmi12ibb6fV6JCQkXPQ5T1JrOgMAqFAEy1wJEREReZpO97HLzMzE7NmzsXPnTuTl5eH555+XpixJSEhASkoK8vPzkZ2d3ab96fV6pKWlNXlMo9Fg9uzZAICcnBxkZGQgMTER+fn5Teapa+05T1FX0bBObI3KfVoRiYiIyDMohBDCGTvesGEDCgsLkZeXhw0bNsBmsznjMA5RUVGB0NBQmEwm2S/L5n/2GhJ3/Q0/+Sdg1MINstZCRERE8mtPTnHayhNJSUlISkrC/PnzsXTpUmcdxuscVQ+GznI7evceiFFyF0NEREQexSErT1zMufPSUesOKS9Blu0mHOp1rdylEBERkYdxeLBbunRpk7nt1q5dC4VC4ejDeC1jrRkAEBrAEbFERETUPg4PdlqtFmvWrJHuT58+3SOX9ZJLYPkBjFDoEelbJ3cpRERE5GEcHuzi4uJQVFQEAJgzZw4GDRqE/Px8Rx/Ga914+l/4Uv13DKnYIncpRERE5GE6PXhi0KBBiIuLQ0pKChISEjBmzBhERERg48aNiI+Px4oVKxxRZ5cRYGlYt9YvOFzmSoiIiMjTdLrFLikpCbNnz8bBgwdx//33Q6VSISkpCRkZGYiIiHBEjV1KoL0h2KmDuZwYERERtU+nW+waW+SSkpKkx4qKiqDT6bBixQrcf//9SElJafMExV1dsKgCAASGMtgRERFR+zhlHrvY2FjExsZi/vz5AIBDhw454zBex2a1IgTVAIAgTQ+ZqyEiIiJP45J57AYMGOCKw3i8SmOp9HVIGIMdERERtY9Lgh21TaXxLACgSgTAx9dP5mqIiIjI0zhtSTFqP6MtAB9abkdYgApz5C6GiIiIPA6DnRspRQiybDdheEgIgx0RERG1Gy/FuhFTjQUAoAnkcmJERETUfmyxcyNmw1GMUOgR7auWuxQiIiLyQGyxcyPRR9bhS/XfcavpPblLISIiIg/EYOdGFHVGAIDw18haBxEREXkmBjs3oqo3NnwRECZrHUREROSZGOzciJ/ZBABQBobLXAkRERF5IgY7N6K2VgIAfIPYYkdERETtx2DnRgJsFQAAv6DuMldCREREnojBzo10s1cBAAJCI2SuhIiIiDwR57FzE0IIZNluQpgw4daIaLnLISIiIg/EYOcmasw2rLJcBwC4J6KnzNUQERGRJ+KlWDdhqm1YTsxPpUSAr0rmaoiIiMgTscXOTVQYyzFCoYfw7w6FQiF3OUREROSBGOzchPVEAb5U/x1HRDSA2+Uuh4iIiDwQL8W6CUuVAQBQqwqWuRIiIiLyVAx2bqIx2NX5hMhcCREREXkqBjs3Ya8pBwBY/EJlroSIiIg8FYOdmxC1DcHOpmawIyIioo5hsHMTqjojAED4a2Stg4iIiDwXg52b8DGbAACKgDCZKyEiIiJPxelO3MQPfuOxzRqK4ZFj5C6FiIiIPBSDnZv4RnEFfraOwDt9EuQuhYiIiDwUL8W6CWNNw5JioYG+MldCREREnootdm4iqvYAFAo1QtXM2kRERNQxDHZuwGa1Yg0WAmrAoJgCgFOeEBERUfuxecgNVBpLpa+DNd1lrISIiIg8GYOdG6g0ngUAVIkA+PqpZa6GiIiIPBWDnRuo+T3YVSqCZK6EiIiIPBmDnRuorzQAAGpUwTJXQkRERJ6Mwc4NmKvKAAC1PiEyV0JERESejMHODdiqG1rszL4MdkRERNRxnO7EDRzxG4QC61REhI1GnNzFEBERkcdisHMD+32H4W1rAOb2iZG7FCIiIvJgvBTrBoy1ZgBAaACXEyMiIqKOY7BzA2rTYUQrTiPczy53KUREROTBGOzcwB/PZOJ79aMYaNoidylERETkwRjs3ECArQIAoA7uIXMlRERE5MkY7NxAN3sVACAglOvEEhERUccx2MlM2O0IEZUAgEAGOyIiIuoEBjuZ1VRXwE9hAwCEhPNSLBEREXWcW85jV1hYiFmzZqGgoKDJ43q9Hrm5udBqtdDr9Zg9ezY0Gs1Fn3NnleVn0Q1AvfBFQECQ3OUQERGRB3O7YNcYzgoLCy94Li0tTQp7er0es2bNQk5OzkWfc2fVxrMAgEpFN3RXsgGViIiIOs7tgl1qamqzj+v1+ib3tVotdDrdRZ9zd+UiCK9bpyI4MBB3y10MEREReTSPaSLS6XQIDw9v8lh4eDgKCwtbfc7dnVX2wFLrbfgi/I9yl0JEREQezu1a7FpiNBqbfdxgMLT6XHPq6+tRX18v3a+oqOhseR1mrLUA4HJiRERE1Hke02LXkpZCXWvPLV68GKGhodItOjraOcW1QV15CfopTiNSbZWtBiIiIvIOHhPsNBrNBS1wBoMBGo2m1eeas2jRIphMJul27NgxZ5V9UUMPvY/v1I9iavl7stVARERE3sFjgl1ycnKzjyckJLT6XHPUajVCQkKa3OSiqjMCAERAmGw1EBERkXdw6z52RqNRanXTarVNntPr9UhISJBa7Fp6zt35mI0AAGVgeOsbEhEREV2E2wU7nU6HvLw8AA194RITE6UpUHJycpCRkYHExETk5+c3maeutefcmdraMHDDJ4jBjoiIiDpHIYQQchcht4qKCoSGhsJkMrn8suyhZ0ZhgP0I9lzzPkZedbNLj01ERETurz05xWP62HmrIHtDi11AaHeZKyEiIiJPx2AnI2G3I0RUAQACGeyIiIiok9yuj11XUmu24B3bdQhDFaZG9JK7HCIiIvJwDHYyMtbZsdR6G3xVCtweJN+UK0REROQdeClWRuU1ZgCAJtAPCoVC5mqIiIjI0zHYyajSaEA/xWn0CbDIXQoRERF5AV6KlZHf4W/xnfpR/FI7AsB1cpdDREREHo4tdjKyVJUBAOp9Q2WuhIiIiLwBg52M7DUNwc6i1shbCBEREXkFBjsZKWrLAQA2/zCZKyEiIiJvwGAnI1WdAQCgCIyQuRIiIiLyBgx2MvIzGwEAqm4MdkRERNR5DHYy8reYAAA+QQx2RERE1Hmc7kRGecrx2Gnti9GRg+UuhYiIiLwAg52MVpqvRYXVCl3UMLlLISIiIi/AS7EysdrsqKizAgDCAn1lroaIiIi8AYOdTIxV1bhEcQohimpoAv3kLoeIiIi8AC/FyqS65AA2q+ehHMFQKWfIXQ4RERF5AbbYyaSq/AwAoFIZInMlRERE5C0Y7GRSX9EQ7KpVXCeWiIiIHIPBTiaWylIAQJ2vRt5CiIiIyGsw2MnEXnUWAGBRc51YIiIicgwGO5koasoAADZ/rjpBREREjsFgJxOfOgMAQNGtu8yVEBERkbfgdCcyKfCJxQEr0LfHKLlLISIiIi/BYCeTzzAJ+6xxeKd/otylEBERkZfgpViZGKrrAQAR3bjqBBERETkGW+xkIOx2hFQfQS2C0Z3BjoiIiByEwU4GFaYy5PnOA3yBOv8SucshIiIiL8FLsTKoKG0Ic5UiAP4B3WSuhoiIiLwFg50MqgwnAQAmpUbeQoiIiMirMNjJoO73YFfpw1UniIiIyHEY7GRgrjgNAKjzC5e5EiIiIvImDHYyEJVnAABmf646QURERI7DYCcDRW0pAMAe2EPmSoiIiMibcLoTGexSjcRv1ipE9YyTuxQiIiLyIgx2MvhKXIFd1mFYOSBe7lKIiIjIi/BSrAzOVjYsJ9Y9WC1zJURERORNGOxcTNjtCKnUIxg16MlgR0RERA7ES7EuZio7ja98/wr4AuaAU3KXQ0RERF6ELXYuVn7maMO/CIaff4DM1RAREZE3YbBzscozxwAA5coImSshIiIib8Ng52J1huMAgEp1pMyVEBERkbdhsHMxm+kEAKA+oKfMlRAREZG3YbBzMVVlQ7CzBfeRuRIiIiLyNgx2LuZf2zASVqVhsCMiIiLH4nQnLpYnxmKPVYPhfcbIXQoRERF5GQY7FxJCYFXNBNRZx2NzDJcTIyIiIsfipVgXOltVjzqLHUoF0DuUc9gRERGRYzHYudCJEycwRHEUA0IU8PPht56IiIgci5diXci6/yt8rf4bfsYYANfLXQ4RERF5GTYbuZD17G8AgOqgS2SuhIiIiLwRg50L+RsPAgBExCCZKyEiIiJv5DWXYvV6PXJzc6HVaqHX6zF79mxoNBq5y2qiR00xAKBb31EyV0JERETeyGuCXVpaGgoKCgA0hLxZs2YhJydH5qr+p8JYhr7iJACgz6UJMldDRERE3sgrLsXq9fom97VaLXQ6nUzVNO/wrk0AgBJFT4RHctUJIiIicjyvCHY6nQ7h4eFNHgsPD0dhYaFMFV2oZu9XAIDjoZyYmIiIiJzDKy7FGo3GZh83GAzNPl5fX4/6+nrpfkVFhTPKklTXW7HoTDJm2OowLjbVqcciIiKirssrWuxa0lLgW7x4MUJDQ6VbdHS0U+vopvbBS3+agtOXLcKoCTc79VhERETUdXlFsNNoNBe0zhkMhhZHxS5atAgmk0m6HTt2zOk1xvYLw1NTh0OpVDj9WERERNQ1eUWwS05ObvbxhITmR5+q1WqEhIQ0uRERERF5Oq8Idlqttsl9vV6PhIQEt5vHjoiIiMiZvGLwBADk5OQgIyMDiYmJyM/Pd6s57IiIiIhcQSGEEHIXIbeKigqEhobCZDLxsiwRERG5lfbkFK+4FEtEREREDHZEREREXoPBjoiIiMhLMNgREREReQkGOyIiIiIvwWBHRERE5CW8Zh67zmic8aWiokLmSoiIiIiaaswnbZmhjsEOQGVlJQAgOjpa5kqIiIiImldZWYnQ0NBWt+EExQDsdjtKSkoQHBwMhULhlGNUVFQgOjoax44d4yTIboLnxL3wfLgfnhP3w3PiflxxToQQqKysRFRUFJTK1nvRscUOgFKpRN++fV1yrJCQEP4yuhmeE/fC8+F+eE7cD8+J+3H2OblYS10jDp4gIiIi8hIMdkRERERegsHORdRqNZ588kmo1Wq5S6Hf8Zy4F54P98Nz4n54TtyPu50TDp4gIiIi8hJssSMiIiLyEgx2RERERF6CwY6IiIjISzDYEREREXkJBjsiIiIiL8FgR0REROQlGOyIiIiIvASDHREREZGXYLAjIiIi8hIMdkRERERegsGOiIiIyEsw2BERERF5CR+5C3AHdrsdJSUlCA4OhkKhkLscIiIiIokQApWVlYiKioJS2XqbHIMdgJKSEkRHR8tdBhEREVGLjh07hr59+7a6DYMdgODgYAAN37CQkBCZqyEiIiL6n4qKCkRHR0t5pTUMdoB0+TUkJITBjoiIiNxSW7qLcfAEEXkEs9mMyy+/HBMnToTdbpe7HCIit8QWOyLyCPn5+dixYwcAYPv27Rg3bpzMFRERuR+22BGRR9i8ebP09fr162WshIjIfTHYEZFHODfYffbZZ/IVQkTkxhjsiMjtWSwWbNmyRbp/4MAB7N+/X8aKiIjcE4MdEbm9goICVFdXIzw8HCkpKQB4OZaIqDkMdkTk9hovw1511VW49dZbATDYERE1x+2DnV6vx5IlS5Cbm4slS5bAaDS2un1hYSHi4+NdUxwRuURjsJs4cSKmTp0KANi2bRtOnTolZ1lERG7H7YNdWloaFixYgNTUVKSmpmLWrFktbpubmwugIdwRkXewWq34/vvvAQCTJk1Cnz59kJiYCCEEvvjiC5mrIyJyL24d7PR6fZP7Wq0WOp2uxe1TU1MRFxfn7LKIyIWKiopQVVUFjUaDkSNHAgBuvvlmABwdS0R0PrcOdjqdDuHh4U0eCw8PZ4scURfSeBl2woQJUKlUAIBbbrkFQMPfiMrKSrlKIyJyO24d7FrqT2cwGFxbCBHJ5tz+dY2GDRuGgQMHwmw24+uvv5arNCIit9OhYLdw4UK8+eabMJlMmDx5MmbOnIl169Y5urYWXWwAxcXU19ejoqKiyY2I3I/NZsN3330HoKF/XSOFQsHLsUREzehQsEtMTMT999+PlStXIj4+HtnZ2SgrK3N0bdBoNBe0zhkMBmg0mk7td/HixQgNDZVu0dHRndofETnH7t27UVFRgZCQEIwZM6bJc42XY//973/DYrG4vjgiIjfUoWAXFhYGAFizZg1mzpwJABf0hXOE5OTkZh9PSEjo1H4XLVoEk8kk3Y4dO9ap/RGRczRehr3yyiul/nWNxo0bhx49esBoNEqtekQXYzQandIQQeQuOhTsiouLsWHDBhQXF2PMmDE4dOgQysvLHV0btFptk/t6vR4JCQlSi11hYeEFI2cbtXa5Vq1WIyQkpMmNiNxPc/3rGqlUKtx0000AOFkxtc3x48cxdOhQDB48GEePHpW7HCKn6FCwmzFjBgoLC1FQUACTyYSsrKxO93trSU5ODjIyMpCbm4usrCzk5ORIzy1evFiauw5oGCGXkZHR7HNE5Fnsdnuz/evOdW4/OyGEq0ojD2SxWHDbbbfh1KlTMBgMmDNnDn9mqNOEEFi4cCF27twpdykShXDQT/auXbsu6APjKSoqKhAaGgqTycTWOyI3sXv3bowZMwZBQUEoLy+Hj4/PBdvU1taie/fuqKmpQWFhIWJjY2WolDzBggULsHTpUoSEhKCurg5msxkffvgh7rjjDrlLIw/2+uuv48EHH0S3bt1w6NAh9OjRwynHaU9OufAvZTPefPPNVp83Go3Izs5Gfn5+26skImpF42XY8ePHNxvqACAgIACTJ0/GZ599hs8++4zBjpr1xRdfYOnSpQCAt99+G/v27cM//vEPPPzww0hJSUFkZKTMFZIn2rJlCx555BEAwNNPP+20UNdebboUu2LFCpSXl7d4E0KwSZuIHKq1/nXnahwdy3521JwjR47gj3/8IwDg4YcfxvTp07FgwQKMGjUKZWVlePjhh2WukDxRSUkJUlNTYbVaMXPmTMybN0/ukiRtuhS7YcMGJCUltbpNUVGRx35a5qVYIvdit9sRGRmJsrIybN26FePGjWtx29LSUvTs2RN2ux16vR4DBgxwYaXkzsxmMyZMmIAdO3bgsssuw/fffw8/Pz8AwM6dO3H55ZfDbrdj/fr1mDp1qszVkqcwm824+uqrsXXrVowYMQLbtm1Dt27dnHrM9uSUNrXYXSzUbdy4EYcOHWp7hURErfjll19QVlaGwMDAi05v1L17d0yYMAEA8Pnnn7uiPPIQCxYswI4dOxAWFobs7Gwp1AEN02Y99thjAIC5c+c6bQCgO6usrMS0adMwe/ZsWK1WucvxGI8++ii2bt2K0NBQfPrpp04Pde3V4SXF1q1bh2XLlmHZsmUoKChAdna2I+vyOidOnMCIESPw+uuvy10KkdtrvAx7xRVXwNfX96LbcxUKOt+6devw8ssvAwDee+899O/f/4JtnnrqKQwcOBAlJSVYsGCBiyuUl91ux1133YVPP/0Uq1atwsKFC+UuySO8++67+Ne//gUA+OijjzBw4ECZK7pQh5cU++abb7Bjxw6UlpaiuLgY6enpjq7Nqzz++OPYu3cvHnzwQblLIXJ7be1f16gx2H333XecfJZQXFyMe++9FwAwf/58ab7D8wUEBEiDA1etWoWNGze6rEa5Pf3001i/fr30wenFF19kA81FFBQUYM6cOQAaPhTccMMNMlfUAtEBK1euFEIIodfrxaFDh4QQQmzYsKEju3ILJpNJABAmk8lpx9BqtQKA6OC3nKjLsNvtIjIyUgAQ33//fZtfN2rUKAFAvPfee06sjtxdbW2tiI2NFQDE+PHjhdlsvuhr5syZIwAIrVYrqqurXVClvNauXSu9H7333nsiIyNDABCBgYHip59+krs8t3T27FnRr18/AUDceOONwmazufT47ckpHWqx02q1OHLkCAYMGMBJgNuopRUyiKip/fv348yZM/D390diYmKbX8fLsQQA8+bNQ1FREbp3747Vq1e36VJ+ZmYm+vbtC71ej3/84x8uqFI+e/bswd133w2goa/Y3Xffjeeeew7JycmoqanBrbfe6pSVpDyZ1WrFbbfdhqNHj2LQoEH44IMPoFR2uCeb03WoMqPRCK1Wi4qKCpSWlmLKlCnIyspydG1epT1vUERdWeNl2HHjxkGtVrf5dY3Tnnz99deora11Rmnk5j755BO88cYbUCgU+OCDD9C3b982vS4kJAQrVqwAACxfvhzbt293ZpmyKSsrw80334zq6mokJydjyZIlAAAfHx+sXr0al1xyCYqLi3HnnXfCbrfLXK37+Nvf/oYNGzagW7duWLdunbSsqdtyRBOhTqcTRqPREbuShSsuxV522WW8FEvUBrfddpsAIJ566ql2vc5ut4vo6GgBQHz++edOqo7c1f79+0VQUJAAIP72t791aB933HGHACCGDx8u6uvrHVyhvCwWi0hKSpIuOZeWll6wTUFBgfD39xcAxBNPPCFDle5nzZo10nt3dna2bHU4/VLs+ZKSkth0exGhoaFyl0Dk9oQQ2LRpE4CW14dtiUKhkC7HcrLirqWmpgZpaWmoqqrCpEmT8NRTT3VoP8uXL0f37t2xd+9eLF682LFFymz+/PlSq9P69esRERFxwTZxcXHS1bdnnnmmy08ftHfv3iaDcGbMmCFzRW3UkeS4YcOGJre1a9eKyZMnd2RXbsEVLXY333yzlPqtVquYP3++eOCBB8TZs2eddkwiT3PgwAEBQKjValFbW9vu1+fl5QkAokePHsJqtTqhQnJHf/rTnwQA0bNnT1FSUtKpfX3yyScCgPD19RV79uxxUIXyevfdd6X3n3Xr1l10+wcffFAAECEhIWL//v0uqND9lJeXi0GDBgkAIikpSVgsFlnraU9O6VCwi4mJETNmzBBpaWkiLS1NhIWFiRkzZnRkV27B1cFuw4YN0tf33HOP045J5GlWrlwpAIirrrqqQ683m80iNDRUABA//PCDg6sjd9QYWpRKpUNmZ7Db7WLq1KkCgEhMTPT4Dwjbtm0TarVaABBPPvlkm15jNpvFlVdeKQCIYcOGiYqKCucW6WZsNpu46aabBADRr18/cebMGblLcv6l2MzMTGRnZ2PNmjVYs2YNDAYDZs+e3cE2w67n559/lr7+4osvYLPZZKyGPE1VVRWeeOIJvPzyy143W3x75687n6+vrzS3lLeNjhVC8G/Fefbu3Yu5c+cCaJhX7Jprrun0PhUKBf71r38hJCQE+fn50iTHnujkyZOYNm0a6uvrccstt+CJJ55o0+t8fX2Rk5OD3r1745dffsF9993XpdaDf+655/DFF19ArVZj3bp16NGjh9wltY+j0iTnsWvduS12f/7zn6WvAYiDBw867bjkXbZu3SpiYmKkn52EhASxd+9euctyCLvdLvr06SO1andUY2fngQMHCrvd7sAK5bN161YxePBg0a9fP/Htt9/KXY5bqKysFEOHDhUAREpKisNb1hpbjwMCAjzyb3RdXZ0YO3asNBikI61uW7duFb6+vgKAeOGFF5xQpfv58ssvhUKhEADEO++8I3c5Eqdfil26dGmT28KFC8WcOXM6siu34Opgd8MNNzQJdl9//bXTjkvewWw2i7///e9CqVQKAKJv375Co9EIAMLPz08sXrxY9j4gnXXw4EGpb1NnJomtqKgQfn5+AoDHh16z2SyeeOIJ6bzj90uOTz31lMdfIuwMu90u7rzzTgFAREVFidOnTzvlGFdffbUAIK6++mqP+pBgt9vFvffeKwCIsLCwTgXTN954Q/q5++abbxxYpfv57bffpK4cc+fOlbucJpx+KXb16tUQDaEQQghotVq88MILHdlVl3TkyBEADXMHAQ3L35DjlZWV4fPPP8eCBQtw55134ttvv5W7pA45cOAArrjiCjz33HOw2+248847sWfPHvz888+4/vrrYTabsWjRIowfPx779u2Tu9wOa7wMe9lllyEwMLDD+wkODkZSUhIAzx4de/DgQUyYMAHPPPOMdN7vuece2O12PPXUU0hOTkZJSYncZcrirbfewocffgiVSoXVq1cjMjLS4cdQKBRYtWoVAgIC8O2330pLj3mC1157De+88w6USiWys7MRExPT4X2lp6fjvvvug91ux2233YbDhw87rlA3Ul1djVtvvRUmkwnjxo3D8uXL5S6p4zqSHHU6XUde5rZc0WJ3yy23SJ+4Gz8RXHPNNQKAeOSRR5x23K7CbreL4uJi8d5774lZs2ZJl2jOv82YMUMcPXpU7nLbxG63i9dee00EBARIn7zPn0fJbreLd955R/qZUqvVYsmSJR7ZmnPXXXcJAOLxxx/v9L5WrFghAIjLLrvMAZW5lt1uF6tWrRLdunWT/l588skn0vPvv/++9Fz37t3FV199JWO1rrdr1y5pMIArLg+++OKL0gjR48ePO/14nbVx40ahUqkEAPHiiy86ZJ+1tbUiISFBABCxsbGipqbGIft1F3a7XcycOVMAEL169RInTpyQu6QLOP1SbHMa14z1RK4Odo23F154QQAQV155pdOO2xW8++67IioqqtkgN3ToUDFr1ixx//33S5ezAgMDxf/93/+Juro6uUtv0YkTJ8SUKVOk/0dKSkqrbyrHjh0T1157rbT92LFjPW6agsZ1GB1xuaekpET6XrjjH+mWnD17tsnfikmTJokjR45csN3+/fvF6NGjpe3mz5/fpjVRPZ3JZJKmoLjhhhtcsl6n1WqVJpi/6aab3PqSrF6vFxEREQKAuPPOOx1a65EjR0T37t0FAHHXXXe59fehvRrDu4+PT7vWp3Ylhwe7oqKii9443Unrbr311gtCx549ewQA4e/v3yX+KDvD8uXLpe+nr6+vGDdunJg/f75Yv379BXME7tq1SxrCj98713/55ZcyVd6y3NxcER4eLv1svPLKK216A7Pb7eKtt94SISEh0muXLVvmEa13hw4dkv6wVlVVOWSfjR3H33jjDYfsz9m++uor0atXL+lnecmSJa2e99ra2iYDscaOHevRH7Avxm63i7S0NAFAREdHN7tygrPs2bNHGkSwevVqlx23PaqqqsSoUaOkQVXOaFU7tzXw1Vdfdfj+5eAp/yeHB7uwsDAxefJkkZKSIlJSUkRCQoKIj4+X7sfExIiEhIROFy4XVwS7GTNmNAl1YWFhwmazSZ+APHlUsVyef/556fs5b968Nv0hs9vt4sMPPxS9e/eWXnvjjTe6xag3o9Eo7r77bqmu2NjYDnX+P3r0qJg8ebK0nyuuuEIcOHDACRU7TuNcZGPHjnXYPhcvXiwAiClTpjhsn85QU1Mj/vKXv0jna9iwYaKoqKjNr8/NzZUuxWs0GrF27VrnFSuj1157TQr/P/74o8uP/9RTTwmgYfJrd5tY3m63i9TUVAE0TNJ87Ngxpx3r3Nat7777zmnHcYWjR49K78F33323W7dCOjzYrVy5ssn93NzcC7Zp7jFHKC4uFpmZmSInJ0dkZmaK8vJyh2x7LlcEu8ZfunMvEQrxvxnTH3jgAacd29vY7Xbx97//XfpePvHEE+3+hayoqBDz588XPj4+0sjSf/zjH7KNLN28ebO45JJLpNFnjz/+eKfWqmzspxUcHCy13r300ktu23p3zz33CAAiIyPDYfvct2+f1PrlzN/tzigqKmrSH/Qvf/lLh1pa9Hq9uPzyy6X9PPjggx1aucNd5efnSyOdX3rpJVlqqK+vFyNGjBAAxB133CFLDS157rnnpJ/1LVu2OPVYdrtdWs+5Z8+eHtHvsDnn9hscM2aM2/cbdHofu+Y+ETqrxSkuLk76uri4WKSmpjpk23O5IthNmzatSbC75pprhBBCrFu3TgAQI0aMcNqxvYndbhePPvpok36KnbFv3z6RkpIi7e/WW291+RvismXLpHmTBgwY4NAVE44cOSKSk5Ol/9+VV17Z6SWXnGHAgAECgMMHAgwePNgtL59ZrVaxZMkS6fJer169Ov1/N5vNYv78+dK5HjNmjNu31LZFeXm59PNxyy23yNqqsn37dqmvrrt04/j888+lvx/nN8I4S1VVlRg5cqTUyu7O/ZWbY7fbxX333ScAiPDwcI/owuD0YNfcp+qFCxd2ZFetKi4ubhLWhBBCo9F0etvzuXoeOwDiD3/4gxBCiJMnTwoAQqFQCKPR6LTjewObzSbmzJkjfQ8d1R/CbreLjz76SGoRmDRpkktaeOx2u8jIyJD+P/fee69Tlu6x2+1ixYoVIigoSAAQEydOdEmn87Y6evSoACBUKpXD//8LFiwQAMTtt9/u0P12xpEjR8SkSZOk837LLbc4dMmi//znP9LlpaCgIPHhhx86bN+uZrfbpcEkAwYMaPNVGGeaN2+eABrmkpS7JfiXX36RWuVdfdXn4MGD0lyanjaPbeOoeU+am8/pwa6wsFBaL3bGjBli4MCB7eoT0lZZWVkiOTm5yWNarVYUFBR0atvzuSLYNa4713g7d/LD/v37CwDiww8/FHa7XRiNRrFv3z5xzz33iH//+99Oq6kl3333nXjmmWfEb7/95vJjt8RisUj9zxQKhXjrrbccfoyNGzdKfyRjY2PFqVOnHH6MRlarVdx///3Sz0NmZqbTjtVo37590jQZS5cudfrx2uqDDz4QQMO6nI62ZcsWATRMVdGZS9uO8sknn0j94bp16ybefPNNp7RAHT9+XEycOLHJhwZHDUpxpZdeeknqKpGfny93OUIIIaqrq4VWq73g77irnbtI/cSJE2UZgPef//xHai10xt9kZ/jxxx+llvLFixfLXU6buWS6E6PRKFauXClWrlwp9Hp9R3fTqszMzGbDWl5eXqe2PZ8rgt2NN97YJNgtWLBAeq6xv1hERESTSymNt759+4p58+Y5vX+U3W4Xixcvli41KBQKceONN4q8vDxZL3/U19dLo+FUKpX4+OOPnXasgoIC0aNHDwE0jJp1xs92bW2tdGleqVSKN9980+HHaEnjMkl+fn5i9+7dLjtuaxr7mT722GMO37fVahU9e/YUgGOmUemo8vJycccdd0i/05dddpn49ddfnXpMq9UqnnzySemNd+jQoWLPnj1OPaYj/fjjj1If2Ndff13ucprYuHGjdC43bdrk8uNbrVZpeiO5F6l/5plnpL8pO3bskK2Otjh58qQ0Ndb06dPderDE+bxmHruWwlpOTk6ntq2rqxMmk0m6HTt2zOnB7vxlxJ599lnpufr6emmYems3Z05kbDQam1wubuw/0XgbPny4+OSTT1ze+b66ulpcd911UsfgdevWOf2Yv/76q9SK2rt3b/HTTz85bN8VFRXSxNR+fn4u+f+cy263S63HI0eOdIsO9gMHDnRqn6XGltE///nPTtn/xWzevFmao0+pVIonn3zSpa0rGzdulEaB+/v7i5UrV7r9G1ppaamIjo4WAMTMmTPdst5Zs2ZJHwBd3fG+sYtBQECAU66WtYfNZhNTp06VGiGcsbybI5jNZjFhwgTpQ44zur04k8OD3dq1a5vsbNWqVU1uS5cuFZMnT+54xS3Iyspqtt9cc61w7dn2ySefbDY4OTPYXX/99U2OtXz58ibPFxQUNHl+1KhRYtOmTcJoNIqsrCzp8ffee69TddjtdrFjxw7xyCOPiCuvvFJMmDBBXH311dIfUT8/P+kP/4EDB8SDDz4o9c0CGqZiWL16tUsCntFolH4RAwICXLqm7okTJ6QRcBqNxiGTVp45c0YahRUUFCQ2btzogErb79SpU1KrpDNaydrjxIkTUuBxVh/TL7/8UgAQffr0cWlAqK+vFwsXLpRazLRardi6davLjn+u06dPN5nweubMmbL3D2uJzWaT/l4OGjTIbessLy+XWn/OvQLjbB999JF0Ht1lUJDRaJQGKk2aNMkt161+6KGHBAARHBzscZO3C+GEYBcfH99k1Gt8fLxYsmRJk1t8fHzHK25BSwMimutA255t5Wixa2x1ary9/fbbF2yzZcsWMWPGDLFz584Lnnv66acF0LC8UEfnKPriiy+kX77mbv369Wu2H4vRaBTPPvus1FH23IDnrE74Z8+eFXFxcVL/KEeOFG0rg8Egxo8fL7V0fPHFFx3e15EjR8SQIUME0LAMlNz9hdavXy9dbv/2229lq+Pjjz8WAC743XWk2tpaqW+hq77v+/btk35+AYj77rtP9hYCm80mMjMzpclYY2Jimv1bI7fGFXn8/f3Frl275C6nVY2/R0ql0iU/Wzt37hT+/v4CgFi0aJHTj9cee/fulRoB5s2bJ3c5TTT24wUgPvvsM7nL6RCXDJ5oy2OOcP4UJudebi0oKBDFxcVt2rY1ruhjd+5yTwDaHRIsFou0rM348eNFWVlZu15vMBikgQEBAQHitttuEx9++KHIyckRq1evFjk5ORcdcWY0GsUzzzzTJOANHz5crFmzxqEB7/jx49LcXj169HDaz1ZbVFdXS5fRVSpVh1pMf/nlF9G3b18BNMyY7y6fFhsvUUZHR8s2Inv27NkCgHj00Uedepzp06cLAOLvf/+7U49jt9vF66+/Lq3vGx4e7nYTBm/dulW6NOzr6yuWL1/uNpc6v/vuOyl4rlq1Su5y2qRxTrdRo0Y59RL7qVOnpL8j119/vVvOSZmbmyu9NzizL3R7FBUVSb+Pzv79dyaXTHeyatUqYTKZxOTJk8WMGTOc9seruLhYLFiwQOTk5IgFCxY0CR+pqalNRhO2tm1rXBHszr0MAqBDM6efO6pxwIAB7fo0++yzzwqgYb68zrYclJeXi6effloa3dfYXys3N7fTAa+4uFias6pv375i3759ndqfI5jNZmmBegAiLS1NvPzyy2L79u0XHWm5Y8cOae3GSy+9VBw9etRFVV9cZWWliImJEUDD2o9yaGzFXL9+vVOP8/7770s//85y9OjRJh/gUlJS3HadWoPB0GSZw6lTp7b7w6KjnT59Wrq06UlrkZ4+fVr6HT+377Qj1dfXS8shDhkyxK2nxlq4cKHUgCD3AK2ysjKpv/S1117rlmG4rZwe7BpXmViyZIk0p52rJkZ0BlcEu3OXeALQ4RFxu3btkoKPv7+/ePfddy/6mqqqKukPjyM/RZWXl4snn3xSWpsUaJgm5N///ne7/yhXV1eL9evXS528Bw4cKA4fPuywWjvLZrNJ81ede1Or1WLcuHHi0UcfFdnZ2eLIkSPS/12n00mXJhITE91uGSIhGlpvGkdBr1mzxqXHPncOR4PB4NRjlZWVSS1Bjl4+zmaziRUrVkgt4mq1Wixfvtyt5gpsjt1uF6+++qo0f2N0dLQsXR6EaBjl2ThR+NChQz1uapYPP/xQ6qPckWUAL6Zx/s6QkBC3afFvidVqld7vtFqt03+321qH3B9cOsvpwa6xv11CQoI0IsdZS4q5giuC3bmrGwDo1MihsrKyJn32HnnkEemTSHOB6p///KfUp8YZnVoNBoN44oknpDc2oGF90tb6bjUOzli+fLmYMmWKUKvV0mtHjBghTp486fA6O8tut4vvv/9ePPvss+KGG26QwvL5t969e4sbb7xResNMTk6WvX9Vaxqn2wkLC3Pp8kDZ2dkCgBg9erRLjtc4GvnFF1902D4PHjworr76auncjxs3zi1amdujsLBQGpmsUqnEgw8+KN566y3x7bffiqNHj7okoDZOmREYGOiUYORsdrtdGvAxbtw4h7YMvfHGG9IHIDnmNe2I0tJSqaXsuuuuk6Wl7PHHH5daDt29r2ZbOD3YrVy5Uuh0OhEWFiaEaFin0FP6QzTHFcHu3GWdAHR6CRabzSYtSt3YIjR06FDRrVs3MXfuXOkydF1dnejTp48AnL/cTGlpqZg/f77UnwFoGCH1pz/9Sdx5551ixowZ4pZbbhHXX3+9dAnw3Fu/fv3Egw8+6DGfrOx2u/jtt9/EBx98IB544AERHx8vzbvVeEtNTXX75XbMZrOIj48XAMTkyZNd1tI0d+5cAUA89NBDLjneyy+/LACICRMmdHpfVqtV/POf/5R+1gMDA8Xy5cs99lJPRUVFk3n2zm+VvvTSS8UNN9wgHnroIfHyyy+LL774Qvzyyy8OmS5Hp9NJI4c7O+pfTkePHpU+3L788ssO2ed3330n/U3xpMl0hWj4wNA40OMf//iHS4/duFQnAPHRRx+59NjO4vRgZzQaxdKlS8WhQ4eE0WgUGRkZbjWTfXu5ItglJSU1+WPpKNnZ2dIvz7m3nj17ijvuuEOMHTtWABBRUVEuCxglJSXigQcekGb3bunm6+srkpKSxLJly8TevXs9pk9Na6qrq8X3338vli5dKl5++WWPeaPft2+fFFIctVTbxQwbNkwAcNlcfocPHxZAwwjGzkzo+ssvv4hx48ZJP8dXX311k0Fcnsput4u1a9eKOXPmiMmTJ4uYmBjp8nVLN4VCIfr27SsmTpwo7rvvPvF///d/4pNPPhE7duxo0we0kpISERkZKQCIP/3pTy74XzpXY+taYGBgp+d2PXLkiDQtkbvO5XcxcoxG3bdvnxSwnTn3q6u1J6cohBACHbB06VLs3LkT2dnZ2LBhAxITExESEtKRXcmuoqICoaGhMJlMTvs/JCUlYePGjbjlllvw4IMPIikpyWH73rNnD/7zn/9g6NCh8PX1xbx587B///4m27zyyiv4y1/+4rBjtsXhw4exZs0a2Gw2qNVq+Pn5SbcePXrgqquuQnBwsEtropa9/vrrePDBB+Hv74/CwkIMHTrUacc6e/YsIiMjpa+7d+/utGOdKzY2Frt27cLbb7+Ne++9t12vtVgsWLZsGZ566imYzWYEBwdj2bJlmDVrFhQKhZMqlpfVasXRo0dRXFwMvV6P4uLiJreqqqpWX6/RaBATEyPdtFqt9HWvXr0wefJkbN68GSNHjsT27dsREBDgov+Zc9jtdlx99dX47rvvkJycjG+++aZDPxs1NTWYMGECCgsLMWbMGPzwww/o1q2bEyp2vocffhivvPIKgoODkZ+fjyFDhjjtWBUVFbj88suxf/9+TJw4EXl5efD19XXa8VypXTmlI8kxIyNDWk6skbsN6W8PV7TYNfbDccUQ8Pr6evHmm2+KpUuXivfee09s2rTJ7Ttyk/zsdrs0ejsuLs6pa6s2TovgzFGqzWnsvnDzzTe363VFRUUiNjZWan24/vrr3WqEsxzsdrs4ffq0+PHHH8WHH34onn76aXH33XeL8ePHS4OgWrs1tgYGBQW5/YCA9jhw4IB0FaW5+Uovxm63iz/84Q8CaJjz0p0GkXWEq1Z8sNls0kjvPn36OHWtbzm4bFSsTqeTHmOwa92kSZMEAPHJJ5847RhEnXXixAkRHh4uAIi//e1vTjvOgw8+KACIBx54wGnHaE5RUZHUobq6uvqi29fV1Yl//OMfUj+nsLAw8f7773vkZTFXq66uFnv27BGfffaZePHFF8UDDzwgrr32WjFo0KAm3TTcZfUER8rMzBRAw6o1JSUl7XrtkiVLBADh4+Mjyzq0znDuGq3Tpk1zyu/P888/L4CGkcnbtm1z+P7l5vRg19if7tzVKBYuXNiRXbkFVwS7iRMneu0fMfIuOTk5Ul+0LVu2OOUYjWsRN7eWszPZ7XZxySWXtKnPz7Zt26R+gEDDouHuOFrbE1mtVnHo0CGHTz3jLiwWizQgadq0aW1+3VdffSUNJHn99dedWKHr/fjjj1Kgd/RAkP/+97/S982Tp15rjdODnU6nE/Hx8WLy5Mli4cKFIiEhoUnI8zSuCHZXXXWVACCys7OddgwiR7n77rsF0DD/k6MvnZSWlkphSY4FwxvXjLznnnuafb66ulo89thj0vx+kZGRLg+g5Pl27doltfS25efnwIED0qTvs2bN8spW4cZ1z5VKpcPW/tbr9SIsLEz6vnkrpwc7IRq+mRkZGSIjI0PWJZ8cwRXBrrGPgasngSXqCKPRKLVs3X///Q7d96effir1t5HDxo0bBQARERFxwbyOmzdvluZ0AyDuvPNOUVpaKkud5Pka54iMjIxsdZSwyWQSl156qQAa5gB1Zv9WOdntdvGnP/1J6tag1+s7tb/q6moxevRoAUBcdtllbj+1VGc4PdglJCR4dJ+687ky2PGTP3mKTZs2SZc3HLnk18MPPywAiDlz5jhsn+1hsVikT/ibN28WQjTM4/bnP/9ZCnR9+vQRX375pSz1kfeoq6uT1r3+4x//2Ow2NptN3HTTTdLPnbdf7q+trRWJiYkCgBgzZkyb+ro2x263S3Mv9ujRw+sHM7UnpyhbHzPbvNmzZ2PatGlNHtu4cWNHdtVliN9nlfHWaRHI+0ycOBGPPfYYAOD+++/H6dOnHbLfzZs3AwAmTZrkkP21l4+PD2688UYAwPr16/H1119jxIgR+Ne//gUAmDVrFvbu3YsbbrhBlvrIe6jVarz11ltQKBR477338PXXX1+wzZNPPokvvvgCarUan332GXr16iVDpa7j7++PtWvXokePHti1axfS09Ol98f2ePXVV/HRRx9BpVJhzZo1iI6OdkK1HqojyXHVqlVizpw5YunSpWLt2rVi1apVYvLkyR3ZlVtwRYvd+PHjBQCPXnqNup66ujoxatQoAUDceOONnZ5w2WAwSK2AcrZMNE63cu7k3gMGDGgy0p/IURpbqfv169ekz+qaNWukn7/3339fxgpd79tvv5WmvGnvSh2bN2+W+i++9NJLTqrQvTi9xe6FF16AEAKlpaXYsWMHDh48CIPB4ICY6b0EW+zIA6nVanz44Yfw8/PDl19+icsvvxzbtm3r8P5++OEHCCEwePBgWVsmpkyZArVajbq6OigUCjz88MPYs2ePQycOJ2r03HPPoX///jh69Cgef/xxAMDu3btxzz33AAD++te/4q677pKxQtebNGkSli5dCqDh///dd9+16XUnTpxAWloarFYrbr/9djzyyCNOrNJDdSQ5Nvep1pM/6bqixe6KK65w6fJJRI60evVqERISIrUu3HvvvR0a0Tpv3jy3Gb22bNkyMXnyZPHDDz/IXQp1Ad988420DNtnn30m+vfvLwCIlJSUCwbxdBXnTsYcGRkpjh8/3ur2dXV10jKZo0aNElVVVS6qVH4uGRXrTVwR7BrXlvz000+ddgwiZzp16pS49957pXAXGhoqXnnllXa9KTXO7eUtC3MTtcd9993XZPWNmJiYNq2p682qq6ul7h6XX355qyNb09PTpYmfvXUOxJY4/VIstZ/gpVjycD179sTbb7+NH3/8EXFxcTCZTHjooYcQFxfXpssoJpMJRUVFABoGZhB1NcuWLZO6IAQFBWH9+vUIDw+XuSp5BQYG4tNPP4VGo8H27dvx0EMPNbvdW2+9haysLCgUCnz88ceIiYlxcaWeg8HORRjsyFuMHTsWO3bswIoVKxAeHo49e/Zg4sSJuOOOO1BSUtLi67Zs2QK73Y6YmBj06dPHhRUTuYewsDB88MEHGDNmDNasWYPhw4fLXZJb0Gq1+OSTT6BQKLBy5Uq8+eabTZ7Pz8/Hn//8ZwDAM888g+uuu06OMj1Gp4Ld2rVrsW7dOulfIuoaVCoV0tPT8euvv2LOnDnSp+ghQ4Zg2bJlMJvNF7xm06ZNANhaR11bcnIyioqKGE7Oc+211+LZZ58FADzwwAPYsWMHAODMmTOYNm0azGYzpk6dKg0+oZZdNNiZTKZm56h78803MX36dEybNk36l+GuZWyxI28UERGBN954Azt37sTYsWNRVVWF+fPnY/To0dDpdE22lXv+OiJyb4sWLcItt9wCs9mM6dOno6SkBDNnzsTx48cxePBgvP/++1AqeaHxYi76HQoNDcULL7yAuXPnNnlcNDOhYFlZmeMq8zIMduTN4uLisGXLFrzzzjuIjIzE/v37kZKSgtTUVBw9ehSVlZUoKCgAwBY7ImqeUqnEe++9hyFDhuD48eMYMWIENm3ahKCgIHz66acIDQ2Vu0SP0Kbom5mZidTUVMyYMUNqvUtISMDkyZORmJiIhIQETJkyBYmJiU4t1pMx2JG3UyqVuOeee3DgwAE8/PDDUKlUWLt2LS699FLMmjULNpsN/fv3R79+/eQulYjcVEhICD799FMEBQWhvLwcAPDuu+9i2LBhMlfmOdoU7GJjY6FQKLBmzRoUFBRg7ty5iImJwTfffIP8/Hzs3LkTX3/9NcaMGePQ4vR6PZYsWYLc3FwsWbIERqOx1e0LCwsRHx/v0BochcGOugqNRoPly5ejqKgIV111FWpra5GdnQ2ArXVEdHFDhw7Fxx9/jN69e+P555/H9OnT5S7Jo/i0ZaPDhw9LQ7Lnz58PvV6P+++/H3PmzME111zjtOLS0tKkyzd6vR6zZs1CTk5Os9vm5uZCq9WisLDQafU4AoMddRUjR47Epk2bsHr1ajz22GMoKSnhH2giapObbroJN954I98zO6BNwS4vLw9Aw5DjiIgITJs2DWvWrMGqVauQk5ODzMxMhISEOLQwvV7f5L5Wq72gM/a5UlNTHXp8R2uuTyKRt1MoFLj99tsxdepUHDt2DJdeeqncJRGRh2Co65g2Bbvw8HDpk7bJZMK6deswbdo0zJo1CyaTCQsWLMDkyZMxbdo0hxWm0+kumLgxPDwchYWFiIuLc9hxXIWXYqkr69atG0MdEZELXLSPXVFRUZN+a6GhoU1an0JDQ7FixQoIIbBo0SKHFdZSfzqDweCwY8iBwY6IiIic5aItdrGxsVi4cCGKioqg0WhgNBqRnp5+wXbTp093Sf+Ziw2gaIv6+nrU19dL9ysqKjq9z4vhpVgiIiJytjZdin3hhRdgMpmg1+sRGxvbqQOuXLkSxcXFLT6fkpKC5ORkaDSaC1rnDAYDNBpNp44PAIsXL8bTTz/d6f20By/FEhERkbMphJs2Jen1+iajYoGGdfYOHTrUarhTKBQXbR1rrsUuOjoaJpPJ4YNAGo0ZMwa7d+/GN998g5SUFKccg4iIiLxPRUUFQkND25RT2tRiJwetVtvkvl6vR0JCghTqCgsLodFoLtgOaLhc21r4U6vVUKvVjiz3otw0PxMREZEXcetF13JycpCRkYHc3FxkZWU1mcNu8eLFyM3Nle7rdDpkZGQ0+5w74KVYIiIicja3vRTrSu1p4uyoUaNGYc+ePdDpdEhKSnLKMYiIiMj7tCenuHWLnTdhfiYiIiJnY7BzEV6KJSIiImdjsHMRBjsiIiJyNgY7F2OwIyIiImdhsHMR9rEjIiIiZ2OwcxFeiiUiIiJnY7BzMQY7IiIichYGOxfhpVgiIiJyNrddUszbjB8/HtHR0QgLC5O7FCIiIvJSDHYu8tZbb8ldAhEREXk5XoolIiIi8hJsscP/+r9VVFTIXAkRERFRU435pC399RnsAFRWVgIAoqOjZa6EiIiIqHmVlZUIDQ1tdRuF4HBN2O12lJSUIDg42GnTkVRUVCA6OhrHjh1DSEiIU45B7cNz4l54PtwPz4n74TlxP644J0IIVFZWIioqCkpl673o2GIHQKlUom/fvi45VkhICH8Z3QzPiXvh+XA/PCfuh+fE/Tj7nFyspa4RB08QEREReQkGOyIiIiIvwWDnImq1Gk8++STUarXcpdDveE7cC8+H++E5cT88J+7H3c4JB08QEREReQm22BERERF5CQY7IiIiIi/B6U4cSK/XIzc3F1qtFnq9HrNnz4ZGo+n0ttRx7f0+FxYWYtasWSgoKHBdkV1Me85JYWEhdDodACA/Px+rVq3i74mDted8NJ4Lo9GI/Px8zJw5E3FxcS6stmvo6PtDRkYGFi1axN8RJ2jv3y0AiIuLg16vh9FodO3viSCHiYuLk74uLi4WqampDtmWOq493+ecnBxRUFAg+GvhXO05J5mZmU2+Pve15BjtOR8ajUYUFBQIIYTIysoSWq3W6fV1RR15f2j821VeXu7Eyrqu9pyT2bNnCwACgEhOTnb5OeGlWAfR6/VN7mu1WunTbWe2pY5r7/c5NTWVrQ9O1p5zUlhYiMWLF0v3U1NTUVhYeME+qOPa+zuSk5PT5HeELUOO19H3B71eD61W66yyurT2npP4+HiUl5ejvLwceXl5Lv89YbBzEJ1Oh/Dw8CaPhYeHS02yHd2WOo7fZ/fTnnMSFxeHVatWSfeNRqO0PTlGe39HkpOTpa9zcnKQnp7u1Pq6oo783crNzUVqaqqzS+uyOnJONBqNbB982MfOQRrfdM5nMBg6tS11HL/P7qe95+TcN6vs7GwkJyezlciBOvI7UlhYiOzsbKSkpGD27NlOqqzrau85MRqN/J1wso6ck9zcXAANfYPT09Nd2prKYOdkLf1AdHZb6jh+n93Pxc5J4x9KDmpxjdbOR1xcHLRaLTIyMthS5EItnZM1a9YwYMukpXNy7sAKrVaLlJQUFBcXu6wuXop1EI1Gc0F6NxgMzX6Sas+21HH8Prufjp6TjIwMWfqqeLuOng+NRoO0tDSkpaXxg5KDteec6HQ6zJgxw0WVdV3t/T05t09e4yhaV/YNZrBzkHP7npwrISGhU9tSx/H77H46ck6WLFmCjIwMaLVaGI1GBgkHas/50Ol0CAsLk+43XlriYBbHau/vyJo1a7By5UqsXLkSer0eixcvZj9iB2vPOSksLERSUtIFj7uybzAvxTrI+dfP9Xo9EhISpERfWFgIjUYDrVZ70W3JMdpzTs7HfivO0d5zkpubK136MxqNvOzkYO05H+Hh4U3e4Bqf40hyx2rPOTk/cKSnp7u8P1dX0N7398zMTGlbnU6H1NRUl76fcK1YB9Lr9cjKykJiYiLy8/ObTBSZlpaGxMRELFiw4KLbkuO055zodDrk5eVhyZIlWLBgARITE9l/yAnaek70ej1iYmKavFaj0aC8vFyGqr1Xe35HcnNzpUtSeXl5yMzMZIhwgvacE6Dhg+jKlSuRkZGB2bNnIz09nYHbwdpzThonVtdoNCguLm4S9FyBwY6IiIjIS7CPHREREZGXYLAjIiIi8hIMdkRERERegsGOiIiIyEsw2BERERF5CQY7IiIiIi/BYEdERETkJRjsiIgcKD09/YKJlYmIXIVLihEROVBaWtoFC4YTEbkKW+yIiBwoLy8PKSkpcpdBRF0Ugx0RkQPpdDokJCTIXQYRdVFcK5aIyIEUCgWEENDr9SgsLIRer2+yYDsRkTOxxY6IyEEKCwsRFxcHo9EofZ2dnS13WUTUhXDwBBGRg+h0OgDAzp07kZqaCgAoKCiQsyQi6mLYYkdE5CB5eXlYtGgR9Ho90tPT5S6HiLog9rEjInKQsLAwlJeXAwBiYmJQXFyM3NxcqfWOiMjZ2GJHROQAer0eycnJ0v3U1FTk5uYiLi5OxqqIqKthix0RERGRl2CLHREREZGXYLAjIiIi8hIMdkRERERegsGOiIiIyEsw2BERERF5CQY7IiIiIi/BYEdERETkJRjsiIiIiLwEgx0RERGRl2CwIyIiIvISDHZEREREXoLBjoiIiMhL/D/T0LZNKL/mvgAAAABJRU5ErkJggg==", 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", 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" ] @@ -622,13 +622,13 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 35, "id": "004991ee-6082-4c73-931b-9e3faa0abbe8", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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379.34570621,\n", + " 360.66616152, 350.49812944, 342.48054208, 331.61323965,\n", + " 323.3029313 , 321.4815271 , 320.51241627, 319.37446053,\n", + " 317.10438988, 314.41386821, 312.43594172, 307.88535577,\n", + " 302.59824668, 296.44080711, 288.24749799, 279.60795669])" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "P4_velocileptors" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d021e529-20eb-4628-bafa-b13629433b3a", + "metadata": {}, "outputs": [], "source": [] } diff --git a/poetry.lock b/poetry.lock index d3b5ae6..634f0d1 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.1.4 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. [[package]] name = "absl-py" @@ -6,7 +6,6 @@ version = "2.3.1" description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." optional = false python-versions = ">=3.8" -groups = ["main"] files = [ {file = "absl_py-2.3.1-py3-none-any.whl", hash = "sha256:eeecf07f0c2a93ace0772c92e596ace6d3d3996c042b2128459aaae2a76de11d"}, {file = "absl_py-2.3.1.tar.gz", hash = "sha256:a97820526f7fbfd2ec1bce83f3f25e3a14840dac0d8e02a0b71cd75db3f77fc9"}, @@ -18,7 +17,6 @@ version = "23.12.1" description = "The uncompromising code formatter." optional = false python-versions = ">=3.8" -groups = ["dev"] files = [ {file = "black-23.12.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e0aaf6041986767a5e0ce663c7a2f0e9eaf21e6ff87a5f95cbf3675bfd4c41d2"}, {file = "black-23.12.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c88b3711d12905b74206227109272673edce0cb29f27e1385f33b0163c414bba"}, @@ -55,7 +53,7 @@ typing-extensions = {version = ">=4.0.1", markers = "python_version < \"3.11\""} [package.extras] colorama = ["colorama (>=0.4.3)"] -d = ["aiohttp (>=3.7.4) ; sys_platform != \"win32\" or implementation_name != \"pypy\"", "aiohttp (>=3.7.4,!=3.9.0) ; sys_platform == \"win32\" and implementation_name == \"pypy\""] +d = ["aiohttp (>=3.7.4)", "aiohttp (>=3.7.4,!=3.9.0)"] jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"] uvloop = ["uvloop (>=0.15.2)"] @@ -65,7 +63,6 @@ version = "0.1.90" description = "Chex: Testing made fun, in JAX!" optional = false python-versions = ">=3.9" -groups = ["main"] files = [ {file = "chex-0.1.90-py3-none-any.whl", hash = "sha256:fce3de82588f72d4796e545e574a433aa29229cbdcf792555e41bead24b704ae"}, {file = "chex-0.1.90.tar.gz", hash = "sha256:d3c375aeb6154b08f1cccd2bee4ed83659ee2198a6acf1160d2fe2e4a6c87b5c"}, @@ -86,7 +83,6 @@ version = "8.2.1" description = "Composable command line interface toolkit" optional = false python-versions = ">=3.10" -groups = ["dev"] files = [ {file = "click-8.2.1-py3-none-any.whl", hash = "sha256:61a3265b914e850b85317d0b3109c7f8cd35a670f963866005d6ef1d5175a12b"}, {file = "click-8.2.1.tar.gz", hash = "sha256:27c491cc05d968d271d5a1db13e3b5a184636d9d930f148c50b038f0d0646202"}, @@ -101,8 +97,6 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" -groups = ["dev"] -markers = "sys_platform == \"win32\" or platform_system == \"Windows\"" files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, @@ -114,7 +108,6 @@ version = "7.10.6" description = "Code coverage measurement for Python" optional = false python-versions = ">=3.9" -groups = ["dev"] files = [ {file = "coverage-7.10.6-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:70e7bfbd57126b5554aa482691145f798d7df77489a177a6bef80de78860a356"}, {file = "coverage-7.10.6-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e41be6f0f19da64af13403e52f2dec38bbc2937af54df8ecef10850ff8d35301"}, @@ -210,7 +203,7 @@ files = [ tomli = {version = "*", optional = true, markers = "python_full_version <= \"3.11.0a6\" and extra == \"toml\""} [package.extras] -toml = ["tomli ; python_full_version <= \"3.11.0a6\""] +toml = ["tomli"] [[package]] name = "diffrax" @@ -218,7 +211,6 @@ version = "0.7.0" description = "GPU+autodiff-capable ODE/SDE/CDE solvers written in JAX." optional = false python-versions = "<4.0,>=3.10" -groups = ["main"] files = [ {file = "diffrax-0.7.0-py3-none-any.whl", hash = "sha256:aa9645c40552f11a2d32042ef6b9fcd53c1f0f6bdbe32d37cb788669ca9910be"}, {file = "diffrax-0.7.0.tar.gz", hash = "sha256:f3bcc578cd92a9ca86fc6f5a54c1de76c1ba62f74de69b56002624bf205316f1"}, @@ -239,7 +231,6 @@ version = "0.13.0" description = "Elegant easy-to-use neural networks in JAX." optional = false python-versions = ">=3.10" -groups = ["main"] files = [ {file = "equinox-0.13.0-py3-none-any.whl", hash = "sha256:66720e6f39b4907812e2c5912ca523d698293f6f1d25736362b174f426b02c49"}, {file = "equinox-0.13.0.tar.gz", hash = "sha256:d59615be722373e9d66e0ba78462964e6357fb76a8b1b98c2c6027961b778a69"}, @@ -260,7 +251,6 @@ version = "1.13.0" description = "Collection of common python utils" optional = false python-versions = ">=3.10" -groups = ["main"] files = [ {file = "etils-1.13.0-py3-none-any.whl", hash = "sha256:d9cd4f40fbe77ad6613b7348a18132cc511237b6c076dbb89105c0b520a4c6bb"}, {file = "etils-1.13.0.tar.gz", hash = "sha256:a5b60c71f95bcd2d43d4e9fb3dc3879120c1f60472bb5ce19f7a860b1d44f607"}, @@ -269,7 +259,7 @@ files = [ [package.dependencies] fsspec = {version = "*", optional = true, markers = "extra == \"epath\""} importlib_resources = {version = "*", optional = true, markers = "extra == \"epath\""} -typing_extensions = {version = "*", optional = true, markers = "extra == \"epath\" or extra == \"epy\""} +typing_extensions = {version = "*", optional = true, markers = "extra == \"epy\""} zipp = {version = "*", optional = true, markers = "extra == \"epath\""} [package.extras] @@ -298,8 +288,6 @@ version = "1.3.0" description = "Backport of PEP 654 (exception groups)" optional = false python-versions = ">=3.7" -groups = ["dev"] -markers = "python_version == \"3.10\"" files = [ {file = "exceptiongroup-1.3.0-py3-none-any.whl", hash = "sha256:4d111e6e0c13d0644cad6ddaa7ed0261a0b36971f6d23e7ec9b4b9097da78a10"}, {file = "exceptiongroup-1.3.0.tar.gz", hash = "sha256:b241f5885f560bc56a59ee63ca4c6a8bfa46ae4ad651af316d4e81817bb9fd88"}, @@ -317,7 +305,6 @@ version = "2.1.1" description = "execnet: rapid multi-Python deployment" optional = false python-versions = ">=3.8" -groups = ["dev"] files = [ {file = "execnet-2.1.1-py3-none-any.whl", hash = "sha256:26dee51f1b80cebd6d0ca8e74dd8745419761d3bef34163928cbebbdc4749fdc"}, {file = "execnet-2.1.1.tar.gz", hash = "sha256:5189b52c6121c24feae288166ab41b32549c7e2348652736540b9e6e7d4e72e3"}, @@ -326,13 +313,26 @@ files = [ [package.extras] testing = ["hatch", "pre-commit", "pytest", "tox"] +[[package]] +name = "fetch-artifacts" +version = "0.1.0" +description = "Julia-style Artifacts system for Python - TOML-based artifact management with automatic downloading and caching" +optional = false +python-versions = "<4.0,>=3.9" +files = [ + {file = "fetch_artifacts-0.1.0-py3-none-any.whl", hash = "sha256:faf5842a60029379ea9286699128d8c6550613fdbac4089604688ca4d717740e"}, + {file = "fetch_artifacts-0.1.0.tar.gz", hash = "sha256:8228063b82f5ddedfd4be6b65a37e182c583a03a94ca39729b37e3354fc36c2a"}, +] + +[package.dependencies] +tomlkit = ">=0.12.0,<0.13.0" + [[package]] name = "flax" version = "0.10.4" description = "Flax: A neural network library for JAX designed for flexibility" optional = false python-versions = ">=3.10" -groups = ["main"] files = [ {file = "flax-0.10.4-py3-none-any.whl", hash = "sha256:8cc83d91654ff943909730e02e858b4cd4577531373f83abe6597c58c581032d"}, {file = "flax-0.10.4.tar.gz", hash = "sha256:57ae44d3f111fc85cff9049adb9684ce8ebd44e87bd8ca776ed52422c2d85021"}, @@ -343,7 +343,7 @@ jax = ">=0.4.27" msgpack = "*" numpy = [ {version = ">=1.26.0", markers = "python_version >= \"3.12\""}, - {version = ">=1.23.2", markers = "python_version >= \"3.11\""}, + {version = ">=1.23.2", markers = "python_version >= \"3.11\" and python_version < \"3.12\""}, ] optax = "*" orbax-checkpoint = "*" @@ -357,7 +357,7 @@ typing_extensions = ">=4.2" all = ["matplotlib"] dev = ["pre-commit (>=3.8.0)"] docs = ["Pygments (>=2.6.1)", "dm-haiku", "docutils (==0.16)", "einops", "ipykernel", "ipython_genutils", "ipywidgets (>=8.1.5)", "jupytext (==1.13.8)", "kagglehub (>=0.3.3)", "matplotlib", "ml_collections", "myst_nb", "nbstripout", "recommonmark", "scikit-learn", "sphinx (>=3.3.1)", "sphinx-book-theme", "sphinx-design"] -testing = ["cloudpickle (>=3.0.0)", "clu", "clu (<=0.0.9) ; python_version < \"3.10\"", "einops", "gymnasium[accept-rom-license,atari]", "jaxlib", "jaxtyping", "jraph (>=0.0.6dev0)", "ml-collections", "mypy", "opencv-python", "pytest", "pytest-cov", "pytest-custom_exit_code", "pytest-xdist", "pytype", "sentencepiece", "tensorflow (>=2.12.0)", "tensorflow_datasets", "tensorflow_text (>=2.11.0) ; platform_system != \"Darwin\"", "torch", "treescope (>=0.1.1) ; python_version >= \"3.10\""] +testing = ["cloudpickle (>=3.0.0)", "clu", "clu (<=0.0.9)", "einops", "gymnasium[accept-rom-license,atari]", "jaxlib", "jaxtyping", "jraph (>=0.0.6dev0)", "ml-collections", "mypy", "opencv-python", "pytest", "pytest-cov", "pytest-custom_exit_code", "pytest-xdist", "pytype", "sentencepiece", "tensorflow (>=2.12.0)", "tensorflow_datasets", "tensorflow_text (>=2.11.0)", "torch", "treescope (>=0.1.1)"] [[package]] name = "fsspec" @@ -365,7 +365,6 @@ version = "2025.9.0" description = "File-system specification" optional = false python-versions = ">=3.9" -groups = ["main"] files = [ {file = "fsspec-2025.9.0-py3-none-any.whl", hash = "sha256:530dc2a2af60a414a832059574df4a6e10cce927f6f4a78209390fe38955cfb7"}, {file = "fsspec-2025.9.0.tar.gz", hash = "sha256:19fd429483d25d28b65ec68f9f4adc16c17ea2c7c7bf54ec61360d478fb19c19"}, @@ -396,7 +395,7 @@ smb = ["smbprotocol"] ssh = ["paramiko"] test = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "numpy", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "requests"] test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask[dataframe,test]", "moto[server] (>4,<5)", "pytest-timeout", "xarray"] -test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr", "zstandard ; python_version < \"3.14\""] +test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr", "zstandard"] tqdm = ["tqdm"] [[package]] @@ -405,7 +404,6 @@ version = "4.13.0" description = "Python humanize utilities" optional = false python-versions = ">=3.9" -groups = ["main"] files = [ {file = "humanize-4.13.0-py3-none-any.whl", hash = "sha256:b810820b31891813b1673e8fec7f1ed3312061eab2f26e3fa192c393d11ed25f"}, {file = "humanize-4.13.0.tar.gz", hash = "sha256:78f79e68f76f0b04d711c4e55d32bebef5be387148862cb1ef83d2b58e7935a0"}, @@ -420,14 +418,13 @@ version = "6.5.2" description = "Read resources from Python packages" optional = false python-versions = ">=3.9" -groups = ["main"] files = [ {file = "importlib_resources-6.5.2-py3-none-any.whl", hash = "sha256:789cfdc3ed28c78b67a06acb8126751ced69a3d5f79c095a98298cd8a760ccec"}, {file = "importlib_resources-6.5.2.tar.gz", hash = "sha256:185f87adef5bcc288449d98fb4fba07cea78bc036455dd44c5fc4a2fe78fed2c"}, ] [package.extras] -check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""] +check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"] cover = ["pytest-cov"] doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] enabler = ["pytest-enabler (>=2.2)"] @@ -440,7 +437,6 @@ version = "2.1.0" description = "brain-dead simple config-ini parsing" optional = false python-versions = ">=3.8" -groups = ["dev"] files = [ {file = "iniconfig-2.1.0-py3-none-any.whl", hash = "sha256:9deba5723312380e77435581c6bf4935c94cbfab9b1ed33ef8d238ea168eb760"}, {file = "iniconfig-2.1.0.tar.gz", hash = "sha256:3abbd2e30b36733fee78f9c7f7308f2d0050e88f0087fd25c2645f63c773e1c7"}, @@ -452,7 +448,6 @@ version = "0.3.10" description = "Interpolation and function approximation with JAX" optional = false python-versions = ">=3.10" -groups = ["main"] files = [ {file = "interpax-0.3.10-py3-none-any.whl", hash = "sha256:9b3c43cf2ea93d46c5a1c8c98a133b29cc8c3cca7e8a80688c1b1c11f05da307"}, {file = "interpax-0.3.10.tar.gz", hash = "sha256:6bed2812b555ee2bc2917ca833d1a04c9f8870c868c6800bd6b941e0fb2f738e"}, @@ -471,7 +466,6 @@ version = "5.13.2" description = "A Python utility / library to sort Python imports." optional = false python-versions = ">=3.8.0" -groups = ["dev"] files = [ {file = "isort-5.13.2-py3-none-any.whl", hash = "sha256:8ca5e72a8d85860d5a3fa69b8745237f2939afe12dbf656afbcb47fe72d947a6"}, {file = "isort-5.13.2.tar.gz", hash = "sha256:48fdfcb9face5d58a4f6dde2e72a1fb8dcaf8ab26f95ab49fab84c2ddefb0109"}, @@ -486,7 +480,6 @@ version = "0.4.38" description = "Differentiate, compile, and transform Numpy code." optional = false python-versions = ">=3.10" -groups = ["main"] files = [ {file = "jax-0.4.38-py3-none-any.whl", hash = "sha256:78987306f7041ea8500d99df1a17c33ed92620c2268c4c3677fb24e06712be64"}, {file = "jax-0.4.38.tar.gz", hash = "sha256:43bae65881628319e0a2148e8f81a202fbc2b8d048e35c7cb1df2416672fa4a8"}, @@ -502,7 +495,7 @@ numpy = [ opt_einsum = "*" scipy = [ {version = ">=1.11.1", markers = "python_version >= \"3.12\""}, - {version = ">=1.10"}, + {version = ">=1.10", markers = "python_version < \"3.12\""}, ] [package.extras] @@ -521,7 +514,6 @@ version = "0.2.0" description = "JAX implementation of AbstractCosmologicalEmulators.jl interface" optional = false python-versions = "<4.0,>=3.10" -groups = ["main"] files = [ {file = "jaxace-0.2.0-py3-none-any.whl", hash = "sha256:30ab945de9abc6494fd37d20fdec3522b3d04c0d5640851222257528955cc611"}, {file = "jaxace-0.2.0.tar.gz", hash = "sha256:1af8c0a4ef3b424f97599c98cab7a14c525e0dff24fceb65f597d8414e4f38c0"}, @@ -542,7 +534,6 @@ version = "0.4.38" description = "XLA library for JAX" optional = false python-versions = ">=3.10" -groups = ["main"] files = [ {file = "jaxlib-0.4.38-cp310-cp310-macosx_10_14_x86_64.whl", hash = "sha256:55c19b9d3f33a6fc59f644aa5a21fba02639ccdd776cb4a9b5526625f57839ff"}, {file = "jaxlib-0.4.38-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:30b2f52cb50d74734af2f477c2533a7a583e3bb7b2c8acdeb361ee77d940577a"}, @@ -571,7 +562,7 @@ ml-dtypes = ">=0.2.0" numpy = ">=1.24" scipy = [ {version = ">=1.11.1", markers = "python_version >= \"3.12\""}, - {version = ">=1.10"}, + {version = ">=1.10", markers = "python_version < \"3.12\""}, ] [[package]] @@ -580,7 +571,6 @@ version = "0.3.2" description = "Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays." optional = false python-versions = ">=3.10" -groups = ["main"] files = [ {file = "jaxtyping-0.3.2-py3-none-any.whl", hash = "sha256:6a020fd276226ddb5ac4f5725323843dd65e3c7e85c64fd62431e5f738c74e04"}, {file = "jaxtyping-0.3.2.tar.gz", hash = "sha256:f30483fac4b42e915db8ad2414a85c3b63284aa7d3c100b96b59f755cf4a86ad"}, @@ -598,7 +588,6 @@ version = "0.0.8" description = "Linear solvers in JAX and Equinox." optional = false python-versions = "~=3.10" -groups = ["main"] files = [ {file = "lineax-0.0.8-py3-none-any.whl", hash = "sha256:1bd21d6c41afda233769d1c1096329ee75181825c9136be65c92b41f6daa1ddb"}, {file = "lineax-0.0.8.tar.gz", hash = "sha256:bb2778066b8882acc88ff569d8e415bc5aa387f751b14ae262c9f9607d7f25bb"}, @@ -619,7 +608,6 @@ version = "4.0.0" description = "Python port of markdown-it. Markdown parsing, done right!" optional = false python-versions = ">=3.10" -groups = ["main"] files = [ {file = "markdown_it_py-4.0.0-py3-none-any.whl", hash = "sha256:87327c59b172c5011896038353a81343b6754500a08cd7a4973bb48c6d578147"}, {file = "markdown_it_py-4.0.0.tar.gz", hash = "sha256:cb0a2b4aa34f932c007117b194e945bd74e0ec24133ceb5bac59009cda1cb9f3"}, @@ -643,7 +631,6 @@ version = "0.1.2" description = "Markdown URL utilities" optional = false python-versions = ">=3.7" -groups = ["main"] files = [ {file = "mdurl-0.1.2-py3-none-any.whl", hash = "sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8"}, {file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"}, @@ -655,7 +642,6 @@ version = "0.5.3" description = "ml_dtypes is a stand-alone implementation of several NumPy dtype extensions used in machine learning." optional = false python-versions = ">=3.9" -groups = ["main"] files = [ {file = "ml_dtypes-0.5.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:0a1d68a7cb53e3f640b2b6a34d12c0542da3dd935e560fdf463c0c77f339fc20"}, {file = "ml_dtypes-0.5.3-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:0cd5a6c711b5350f3cbc2ac28def81cd1c580075ccb7955e61e9d8f4bfd40d24"}, @@ -697,9 +683,9 @@ files = [ [package.dependencies] numpy = [ {version = ">=2.1.0", markers = "python_version >= \"3.13\""}, - {version = ">=1.26.0", markers = "python_version == \"3.12\""}, - {version = ">=1.23.3", markers = "python_version >= \"3.11\""}, - {version = ">=1.21.2", markers = "python_version == \"3.10\""}, + {version = ">=1.26.0", markers = "python_version >= \"3.12\" and python_version < \"3.13\""}, + {version = ">=1.23.3", markers = "python_version >= \"3.11\" and python_version < \"3.12\""}, + {version = ">=1.21.2", markers = "python_version >= \"3.10\" and python_version < \"3.11\""}, ] [package.extras] @@ -711,7 +697,6 @@ version = "1.1.1" description = "MessagePack serializer" optional = false python-versions = ">=3.8" -groups = ["main"] files = [ {file = "msgpack-1.1.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:353b6fc0c36fde68b661a12949d7d49f8f51ff5fa019c1e47c87c4ff34b080ed"}, {file = "msgpack-1.1.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:79c408fcf76a958491b4e3b103d1c417044544b68e96d06432a189b43d1215c8"}, @@ -780,7 +765,6 @@ version = "1.1.0" description = "Type system extensions for programs checked with the mypy type checker." optional = false python-versions = ">=3.8" -groups = ["dev"] files = [ {file = "mypy_extensions-1.1.0-py3-none-any.whl", hash = "sha256:1be4cccdb0f2482337c4743e60421de3a356cd97508abadd57d47403e94f5505"}, {file = "mypy_extensions-1.1.0.tar.gz", hash = "sha256:52e68efc3284861e772bbcd66823fde5ae21fd2fdb51c62a211403730b916558"}, @@ -792,7 +776,6 @@ version = "1.6.0" description = "Patch asyncio to allow nested event loops" optional = false python-versions = ">=3.5" -groups = ["main"] files = 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"sha256:a8a32a84bc9f2aad712041b8b366190f71dde248926da517bde9e832e4412085"}, {file = "protobuf-6.32.1-cp310-abi3-win_amd64.whl", hash = "sha256:b00a7d8c25fa471f16bc8153d0e53d6c9e827f0953f3c09aaa4331c718cae5e1"}, @@ -1114,7 +1001,6 @@ version = "2.19.2" description = "Pygments is a syntax highlighting package written in Python." optional = false python-versions = ">=3.8" -groups = ["main"] files = [ {file = "pygments-2.19.2-py3-none-any.whl", hash = "sha256:86540386c03d588bb81d44bc3928634ff26449851e99741617ecb9037ee5ec0b"}, {file = "pygments-2.19.2.tar.gz", hash = "sha256:636cb2477cec7f8952536970bc533bc43743542f70392ae026374600add5b887"}, @@ -1129,7 +1015,6 @@ version = "7.4.4" description = "pytest: simple powerful testing with Python" optional = false python-versions = ">=3.7" -groups = ["dev"] files = [ {file = "pytest-7.4.4-py3-none-any.whl", hash = "sha256:b090cdf5ed60bf4c45261be03239c2c1c22df034fbffe691abe93cd80cea01d8"}, {file = "pytest-7.4.4.tar.gz", hash = "sha256:2cf0005922c6ace4a3e2ec8b4080eb0d9753fdc93107415332f50ce9e7994280"}, @@ -1152,7 +1037,6 @@ version = "4.1.0" description = "Pytest plugin for measuring coverage." optional = false python-versions = ">=3.7" -groups = ["dev"] files = [ {file = "pytest-cov-4.1.0.tar.gz", hash = "sha256:3904b13dfbfec47f003b8e77fd5b589cd11904a21ddf1ab38a64f204d6a10ef6"}, {file = "pytest_cov-4.1.0-py3-none-any.whl", hash = "sha256:6ba70b9e97e69fcc3fb45bfeab2d0a138fb65c4d0d6a41ef33983ad114be8c3a"}, @@ -1171,7 +1055,6 @@ version = "3.8.0" description = "pytest xdist plugin for distributed testing, most importantly across multiple CPUs" optional = false python-versions = ">=3.9" -groups = ["dev"] files = [ {file = "pytest_xdist-3.8.0-py3-none-any.whl", hash = "sha256:202ca578cfeb7370784a8c33d6d05bc6e13b4f25b5053c30a152269fd10f0b88"}, {file = "pytest_xdist-3.8.0.tar.gz", hash = "sha256:7e578125ec9bc6050861aa93f2d59f1d8d085595d6551c2c90b6f4fad8d3a9f1"}, @@ -1192,7 +1075,6 @@ version = "6.0.2" description = "YAML parser and emitter for Python" optional = false python-versions = ">=3.8" -groups = ["main"] files = [ {file = "PyYAML-6.0.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0a9a2848a5b7feac301353437eb7d5957887edbf81d56e903999a75a3d743086"}, {file = "PyYAML-6.0.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:29717114e51c84ddfba879543fb232a6ed60086602313ca38cce623c1d62cfbf"}, @@ -1255,7 +1137,6 @@ version = "0.2.9" description = "Numerical quadrature with JAX" optional = false python-versions = ">=3.10" -groups = ["main"] files = [ {file = "quadax-0.2.9-py3-none-any.whl", hash = "sha256:41c72d919294a2db3afa797d1ea1183f960d04f4aaec383267d16df68c76e267"}, {file = "quadax-0.2.9.tar.gz", hash = "sha256:594ffddc0af894d9d89fd145dc3907168d6ead29e05e266548b2365b850eda51"}, @@ -1272,7 +1153,6 @@ version = "14.1.0" description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal" optional = false python-versions = ">=3.8.0" -groups = ["main"] files = [ {file = "rich-14.1.0-py3-none-any.whl", hash = "sha256:536f5f1785986d6dbdea3c75205c473f970777b4a0d6c6dd1b696aa05a3fa04f"}, {file = "rich-14.1.0.tar.gz", hash = "sha256:e497a48b844b0320d45007cdebfeaeed8db2a4f4bcf49f15e455cfc4af11eaa8"}, @@ -1291,7 +1171,6 @@ version = "0.1.15" description = "An extremely fast Python linter and code formatter, written in Rust." optional = false python-versions = ">=3.7" -groups = ["dev"] files = [ {file = "ruff-0.1.15-py3-none-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl", hash = "sha256:5fe8d54df166ecc24106db7dd6a68d44852d14eb0729ea4672bb4d96c320b7df"}, {file = "ruff-0.1.15-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:6f0bfbb53c4b4de117ac4d6ddfd33aa5fc31beeaa21d23c45c6dd249faf9126f"}, @@ -1318,8 +1197,6 @@ version = "1.15.3" description = "Fundamental algorithms for scientific computing in Python" optional = false python-versions = ">=3.10" -groups = ["main"] -markers = "python_version == \"3.10\"" files = [ {file = "scipy-1.15.3-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:a345928c86d535060c9c2b25e71e87c39ab2f22fc96e9636bd74d1dbf9de448c"}, {file = "scipy-1.15.3-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:ad3432cb0f9ed87477a8d97f03b763fd1d57709f1bbde3c9369b1dff5503b253"}, @@ -1375,7 +1252,7 @@ numpy = ">=1.23.5,<2.5" [package.extras] dev = ["cython-lint (>=0.12.2)", "doit (>=0.36.0)", "mypy (==1.10.0)", "pycodestyle", "pydevtool", "rich-click", "ruff (>=0.0.292)", "types-psutil", "typing_extensions"] doc = ["intersphinx_registry", "jupyterlite-pyodide-kernel", "jupyterlite-sphinx (>=0.19.1)", "jupytext", "matplotlib (>=3.5)", "myst-nb", "numpydoc", "pooch", "pydata-sphinx-theme (>=0.15.2)", "sphinx (>=5.0.0,<8.0.0)", "sphinx-copybutton", "sphinx-design (>=0.4.0)"] -test = ["Cython", "array-api-strict (>=2.0,<2.1.1)", "asv", "gmpy2", "hypothesis (>=6.30)", "meson", "mpmath", "ninja ; sys_platform != \"emscripten\"", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"] +test = ["Cython", "array-api-strict (>=2.0,<2.1.1)", "asv", "gmpy2", "hypothesis (>=6.30)", "meson", "mpmath", "ninja", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"] [[package]] name = "scipy" @@ -1383,8 +1260,6 @@ version = "1.16.2" description = "Fundamental algorithms for scientific computing in Python" optional = false python-versions = ">=3.11" -groups = ["main"] -markers = "python_version >= \"3.11\"" files = [ {file = "scipy-1.16.2-cp311-cp311-macosx_10_14_x86_64.whl", hash = "sha256:6ab88ea43a57da1af33292ebd04b417e8e2eaf9d5aa05700be8d6e1b6501cd92"}, {file = "scipy-1.16.2-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:c95e96c7305c96ede73a7389f46ccd6c659c4da5ef1b2789466baeaed3622b6e"}, @@ -1455,7 +1330,7 @@ numpy = ">=1.25.2,<2.6" [package.extras] dev = ["cython-lint (>=0.12.2)", "doit (>=0.36.0)", "mypy (==1.10.0)", "pycodestyle", "pydevtool", "rich-click", "ruff (>=0.0.292)", "types-psutil", "typing_extensions"] doc = ["intersphinx_registry", "jupyterlite-pyodide-kernel", "jupyterlite-sphinx (>=0.19.1)", "jupytext", "linkify-it-py", "matplotlib (>=3.5)", "myst-nb (>=1.2.0)", "numpydoc", "pooch", "pydata-sphinx-theme (>=0.15.2)", "sphinx (>=5.0.0,<8.2.0)", "sphinx-copybutton", "sphinx-design (>=0.4.0)"] -test = ["Cython", "array-api-strict (>=2.3.1)", "asv", "gmpy2", "hypothesis (>=6.30)", "meson", "mpmath", "ninja ; sys_platform != \"emscripten\"", "pooch", "pytest (>=8.0.0)", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"] +test = ["Cython", "array-api-strict (>=2.3.1)", "asv", "gmpy2", "hypothesis (>=6.30)", "meson", "mpmath", "ninja", "pooch", "pytest (>=8.0.0)", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"] [[package]] name = "setuptools" @@ -1463,21 +1338,19 @@ version = "80.9.0" description = "Easily download, build, install, upgrade, and uninstall Python packages" optional = false python-versions = ">=3.9" -groups = ["main"] -markers = "python_version >= \"3.12\"" files = [ {file = "setuptools-80.9.0-py3-none-any.whl", hash = "sha256:062d34222ad13e0cc312a4c02d73f059e86a4acbfbdea8f8f76b28c99f306922"}, {file = "setuptools-80.9.0.tar.gz", hash = "sha256:f36b47402ecde768dbfafc46e8e4207b4360c654f1f3bb84475f0a28628fb19c"}, ] [package.extras] -check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\"", "ruff (>=0.8.0) ; sys_platform != \"cygwin\""] -core = ["importlib_metadata (>=6) ; python_version < \"3.10\"", "jaraco.functools (>=4)", "jaraco.text (>=3.7)", "more_itertools", "more_itertools (>=8.8)", "packaging (>=24.2)", "platformdirs (>=4.2.2)", "tomli (>=2.0.1) ; python_version < \"3.11\"", "wheel (>=0.43.0)"] +check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)", "ruff (>=0.8.0)"] +core = ["importlib_metadata (>=6)", "jaraco.functools (>=4)", "jaraco.text (>=3.7)", "more_itertools", "more_itertools (>=8.8)", "packaging (>=24.2)", "platformdirs (>=4.2.2)", "tomli (>=2.0.1)", "wheel (>=0.43.0)"] cover = ["pytest-cov"] doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "pyproject-hooks (!=1.1)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier", "towncrier (<24.7)"] enabler = ["pytest-enabler (>=2.2)"] -test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21) ; python_version >= \"3.9\" and sys_platform != \"cygwin\"", "jaraco.envs (>=2.2)", "jaraco.path (>=3.7.2)", "jaraco.test (>=5.5)", "packaging (>=24.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-home (>=0.5)", "pytest-perf ; sys_platform != \"cygwin\"", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel (>=0.44.0)"] -type = ["importlib_metadata (>=7.0.2) ; python_version < \"3.10\"", "jaraco.develop (>=7.21) ; sys_platform != \"cygwin\"", "mypy (==1.14.*)", "pytest-mypy"] +test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.7.2)", "jaraco.test (>=5.5)", "packaging (>=24.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-home (>=0.5)", "pytest-perf", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel (>=0.44.0)"] +type = ["importlib_metadata (>=7.0.2)", "jaraco.develop (>=7.21)", "mypy (==1.14.*)", "pytest-mypy"] [[package]] name = "simplejson" @@ -1485,7 +1358,6 @@ version = "3.20.1" description = "Simple, fast, extensible JSON encoder/decoder for Python" optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.5" -groups = ["main"] files = [ {file = "simplejson-3.20.1-cp27-cp27m-manylinux1_i686.whl", hash = "sha256:f5272b5866b259fe6c33c4a8c5073bf8b359c3c97b70c298a2f09a69b52c7c41"}, {file = "simplejson-3.20.1-cp27-cp27m-manylinux1_x86_64.whl", hash = "sha256:5c0de368f3052a59a1acf21f8b2dd28686a9e4eba2da7efae7ed9554cb31e7bc"}, @@ -1605,7 +1477,6 @@ version = "0.1.76" description = "Read and write large, multi-dimensional arrays" optional = false python-versions = ">=3.10" -groups = ["main"] files = [ {file = "tensorstore-0.1.76-cp310-cp310-macosx_10_14_x86_64.whl", hash = "sha256:97e9eeab539369b99828c07e1d7da93062da91b65503dafe06d941208b0869d3"}, {file = "tensorstore-0.1.76-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:a9c6f207a0b5f5138f7844307e5cb96587a73e9ba7b5edb6429524cca985e2c3"}, @@ -1640,8 +1511,6 @@ version = "2.2.1" description = "A lil' TOML parser" optional = false python-versions = ">=3.8" -groups = ["dev"] -markers = "python_version == \"3.10\"" files = [ {file = "tomli-2.2.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:678e4fa69e4575eb77d103de3df8a895e1591b48e740211bd1067378c69e8249"}, {file = "tomli-2.2.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:023aa114dd824ade0100497eb2318602af309e5a55595f76b626d6d9f3b7b0a6"}, @@ -1677,13 +1546,23 @@ files = [ {file = "tomli-2.2.1.tar.gz", hash = "sha256:cd45e1dc79c835ce60f7404ec8119f2eb06d38b1deba146f07ced3bbc44505ff"}, ] +[[package]] +name = "tomlkit" +version = "0.12.5" +description = "Style preserving TOML library" +optional = false +python-versions = ">=3.7" +files = [ + {file = "tomlkit-0.12.5-py3-none-any.whl", hash = "sha256:af914f5a9c59ed9d0762c7b64d3b5d5df007448eb9cd2edc8a46b1eafead172f"}, + {file = "tomlkit-0.12.5.tar.gz", hash = "sha256:eef34fba39834d4d6b73c9ba7f3e4d1c417a4e56f89a7e96e090dd0d24b8fb3c"}, +] + [[package]] name = "toolz" version = "1.0.0" description = "List processing tools and functional utilities" optional = false python-versions = ">=3.8" -groups = ["main"] files = [ {file = "toolz-1.0.0-py3-none-any.whl", hash = "sha256:292c8f1c4e7516bf9086f8850935c799a874039c8bcf959d47b600e4c44a6236"}, {file = "toolz-1.0.0.tar.gz", hash = "sha256:2c86e3d9a04798ac556793bced838816296a2f085017664e4995cb40a1047a02"}, @@ -1695,7 +1574,6 @@ version = "0.1.10" description = "Treescope: An interactive HTML pretty-printer for ML research in IPython notebooks." optional = false python-versions = ">=3.10" -groups = ["main"] files = [ {file = "treescope-0.1.10-py3-none-any.whl", hash = "sha256:dde52f5314f4c29d22157a6fe4d3bd103f9cae02791c9e672eefa32c9aa1da51"}, {file = "treescope-0.1.10.tar.gz", hash = "sha256:20f74656f34ab2d8716715013e8163a0da79bdc2554c16d5023172c50d27ea95"}, @@ -1716,12 +1594,10 @@ version = "4.15.0" description = "Backported and Experimental Type Hints for Python 3.9+" optional = false python-versions = ">=3.9" -groups = ["main", "dev"] files = [ {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"}, {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"}, ] -markers = {dev = "python_version == \"3.10\""} [[package]] name = "wadler-lindig" @@ -1729,7 +1605,6 @@ version = "0.1.7" description = "A Wadler–Lindig pretty-printer for Python." optional = false python-versions = ">=3.10" -groups = ["main"] files = [ {file = "wadler_lindig-0.1.7-py3-none-any.whl", hash = "sha256:e3ec83835570fd0a9509f969162aeb9c65618f998b1f42918cfc8d45122fe953"}, {file = "wadler_lindig-0.1.7.tar.gz", hash = "sha256:81d14d3fe77d441acf3ebd7f4aefac20c74128bf460e84b512806dccf7b2cd55"}, @@ -1745,14 +1620,13 @@ version = "3.23.0" description = "Backport of pathlib-compatible object wrapper for zip files" optional = false python-versions = ">=3.9" -groups = ["main"] files = [ {file = "zipp-3.23.0-py3-none-any.whl", hash = "sha256:071652d6115ed432f5ce1d34c336c0adfd6a884660d1e9712a256d3d3bd4b14e"}, {file = "zipp-3.23.0.tar.gz", hash = "sha256:a07157588a12518c9d4034df3fbbee09c814741a33ff63c05fa29d26a2404166"}, ] [package.extras] -check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""] +check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"] cover = ["pytest-cov"] doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] enabler = ["pytest-enabler (>=2.2)"] @@ -1760,6 +1634,6 @@ test = ["big-O", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more_it type = ["pytest-mypy"] [metadata] -lock-version = "2.1" +lock-version = "2.0" python-versions = "^3.10" -content-hash = "78392c72237600f2015164fd58493fe811d61ea8fdf8fb3d3ccb55cc063c0673" +content-hash = "4033eb40e93538cb3fe68b0195702aad9f3cdded2113dd7786064663617441e0" diff --git a/pyproject.toml b/pyproject.toml index c06524c..fd70eb6 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -12,6 +12,7 @@ flax = "^0.10.0" jax = "^0.4.30" jaxace = "^0.2.0" numpy = "^2.2.6" +fetch-artifacts = "^0.1.0" [tool.poetry.group.dev] optional = true diff --git a/tests/test_cache_management_advanced.py b/tests/test_cache_management_advanced.py deleted file mode 100644 index 8e768d2..0000000 --- a/tests/test_cache_management_advanced.py +++ /dev/null @@ -1,458 +0,0 @@ -""" -Advanced cache management tests to improve coverage. - -This module tests the cache management functionality including: -- Metadata persistence -- Update checking -- Force updates -- Cache info retrieval -""" - -import os -import json -import shutil -import tempfile -from pathlib import Path -from unittest.mock import patch, MagicMock, mock_open -from datetime import datetime -import pytest -import urllib.error - -# NOTE: DO NOT set environment variables at module level! -# This pollutes the environment for all subsequent tests in the session. -# Use fixtures or context managers instead. - -# Import directly from data_fetcher module to avoid JAX initialization issues -import sys -sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__)))) - - -@pytest.fixture(scope="module", autouse=True) -def disable_auto_download(): - """Disable auto-download for this test module only.""" - old_value = os.environ.get("JAXEFFORT_NO_AUTO_DOWNLOAD") - os.environ["JAXEFFORT_NO_AUTO_DOWNLOAD"] = "1" - yield - # Restore original value - if old_value is None: - os.environ.pop("JAXEFFORT_NO_AUTO_DOWNLOAD", None) - else: - os.environ["JAXEFFORT_NO_AUTO_DOWNLOAD"] = old_value - -from jaxeffort.data_fetcher import ( - MultipoleDataFetcher, - clear_cache, - check_for_updates, - force_update, - get_cache_info, - clear_all_cache -) - - -class TestMetadataHandling: - """Test metadata loading and saving functionality.""" - - @pytest.fixture - def temp_cache(self, tmp_path): - """Create a temporary cache directory.""" - cache_dir = tmp_path / ".jaxeffort_data" - cache_dir.mkdir() - return cache_dir - - def test_save_and_load_metadata(self, temp_cache): - """Test that metadata can be saved and loaded correctly.""" - fetcher = MultipoleDataFetcher( - zenodo_url="https://example.com/test.tar.gz", - emulator_name="test_model", - cache_dir=temp_cache - ) - - # Create test metadata - test_metadata = { - 'downloaded_at': '2024-01-01T00:00:00', - 'zenodo_url': 'https://example.com/test.tar.gz', - 'remote_info': { - 'etag': 'test-etag-123', - 'size': 1234567, - 'last_modified': 'Mon, 01 Jan 2024 00:00:00 GMT' - } - } - - # Save metadata - fetcher._save_metadata(test_metadata) - - # Verify file exists - assert fetcher.metadata_file.exists() - - # Load metadata - loaded = fetcher._load_metadata() - - # Verify content - assert loaded == test_metadata - assert loaded['remote_info']['etag'] == 'test-etag-123' - - def test_load_metadata_missing_file(self, temp_cache): - """Test loading metadata when file doesn't exist.""" - fetcher = MultipoleDataFetcher( - zenodo_url="https://example.com/test.tar.gz", - emulator_name="test_model", - cache_dir=temp_cache - ) - - # Ensure file doesn't exist - if fetcher.metadata_file.exists(): - fetcher.metadata_file.unlink() - - # Should return empty dict - metadata = fetcher._load_metadata() - assert metadata == {} - - def test_load_metadata_corrupted_json(self, temp_cache): - """Test loading metadata with corrupted JSON.""" - fetcher = MultipoleDataFetcher( - zenodo_url="https://example.com/test.tar.gz", - emulator_name="test_model", - cache_dir=temp_cache - ) - - # Write corrupted JSON - fetcher.metadata_file.write_text("not valid json {") - - # Should return empty dict - metadata = fetcher._load_metadata() - assert metadata == {} - - @patch('builtins.open', side_effect=IOError("Permission denied")) - def test_save_metadata_permission_error(self, mock_open, temp_cache, capsys): - """Test handling of permission errors when saving metadata.""" - fetcher = MultipoleDataFetcher( - zenodo_url="https://example.com/test.tar.gz", - emulator_name="test_model", - cache_dir=temp_cache - ) - - # Try to save metadata - fetcher._save_metadata({'test': 'data'}) - - # Should print warning - captured = capsys.readouterr() - assert "Warning: Could not save metadata" in captured.out - - -class TestRemoteInfoRetrieval: - """Test remote file information retrieval.""" - - def test_get_remote_info_success(self): - """Test successful retrieval of remote file info.""" - fetcher = MultipoleDataFetcher( - zenodo_url="https://example.com/test.tar.gz", - emulator_name="test_model" - ) - - # Mock response - need to use context manager protocol - mock_response = MagicMock() - mock_response.__enter__ = MagicMock(return_value=mock_response) - mock_response.__exit__ = MagicMock(return_value=False) - mock_response.headers = { - 'Content-Length': '1234567', - 'Last-Modified': 'Mon, 01 Jan 2024 00:00:00 GMT', - 'ETag': '"test-etag-123"' - } - - with patch('urllib.request.urlopen', return_value=mock_response): - info = fetcher._get_remote_info("https://example.com/test.tar.gz") - - assert info['size'] == 1234567 - assert info['last_modified'] == 'Mon, 01 Jan 2024 00:00:00 GMT' - assert info['etag'] == 'test-etag-123' # ETag quotes are stripped by implementation - - def test_get_remote_info_network_error(self): - """Test handling of network errors when getting remote info.""" - fetcher = MultipoleDataFetcher( - zenodo_url="https://example.com/test.tar.gz", - emulator_name="test_model" - ) - - with patch('urllib.request.urlopen', side_effect=urllib.error.URLError("Network error")): - info = fetcher._get_remote_info("https://example.com/test.tar.gz") - - # Should return empty dict on error - assert info == {} - - def test_get_remote_info_partial_headers(self): - """Test handling of partial headers in response.""" - fetcher = MultipoleDataFetcher( - zenodo_url="https://example.com/test.tar.gz", - emulator_name="test_model" - ) - - # Mock response with only some headers - need context manager protocol - mock_response = MagicMock() - mock_response.__enter__ = MagicMock(return_value=mock_response) - mock_response.__exit__ = MagicMock(return_value=False) - mock_response.headers = { - 'Content-Length': '1234567', - # Missing Last-Modified and ETag - } - - with patch('urllib.request.urlopen', return_value=mock_response): - info = fetcher._get_remote_info("https://example.com/test.tar.gz") - - assert info['size'] == 1234567 - assert 'last_modified' not in info - assert 'etag' not in info - - -class TestUpdateChecking: - """Test update checking functionality.""" - - @pytest.fixture - def fetcher_with_metadata(self, tmp_path): - """Create fetcher with existing metadata.""" - cache_dir = tmp_path / ".jaxeffort_data" - cache_dir.mkdir() - - fetcher = MultipoleDataFetcher( - zenodo_url="https://example.com/test.tar.gz", - emulator_name="test_model", - cache_dir=cache_dir - ) - - # Save initial metadata - metadata = { - 'downloaded_at': '2024-01-01T00:00:00', - 'remote_info': { - 'etag': 'old-etag', - 'size': 1000000, - 'last_modified': 'Mon, 01 Jan 2024 00:00:00 GMT' - } - } - fetcher._save_metadata(metadata) - - return fetcher - - def test_check_for_updates_etag_changed(self, fetcher_with_metadata, capsys): - """Test update detection via ETag change.""" - # Mock remote info with different ETag - with patch.object(fetcher_with_metadata, '_get_remote_info') as mock_remote: - mock_remote.return_value = { - 'etag': 'new-etag', # Different ETag - 'size': 1000000, - 'last_modified': 'Mon, 01 Jan 2024 00:00:00 GMT' - } - - update_available = fetcher_with_metadata.check_for_updates() - - assert update_available == True - captured = capsys.readouterr() - assert "Update available: ETag changed" in captured.out - - def test_check_for_updates_size_changed(self, fetcher_with_metadata, capsys): - """Test update detection via file size change.""" - # Mock remote info with different size - with patch.object(fetcher_with_metadata, '_get_remote_info') as mock_remote: - mock_remote.return_value = { - 'size': 2000000, # Different size - 'last_modified': 'Mon, 01 Jan 2024 00:00:00 GMT' - } - - update_available = fetcher_with_metadata.check_for_updates() - - assert update_available == True - captured = capsys.readouterr() - assert "Update available: File size changed" in captured.out - - def test_check_for_updates_no_changes(self, fetcher_with_metadata, capsys): - """Test when no updates are available.""" - # Mock remote info with same values - with patch.object(fetcher_with_metadata, '_get_remote_info') as mock_remote: - mock_remote.return_value = { - 'etag': 'old-etag', # Same ETag - 'size': 1000000, # Same size - 'last_modified': 'Mon, 01 Jan 2024 00:00:00 GMT' - } - - update_available = fetcher_with_metadata.check_for_updates() - - assert update_available == False - captured = capsys.readouterr() - assert "Cached version is up to date" in captured.out - - def test_check_for_updates_no_metadata(self, tmp_path, capsys): - """Test update checking when no metadata exists.""" - cache_dir = tmp_path / ".jaxeffort_data" - cache_dir.mkdir() - - fetcher = MultipoleDataFetcher( - zenodo_url="https://example.com/test.tar.gz", - emulator_name="test_model", - cache_dir=cache_dir - ) - - # Ensure no metadata exists - if fetcher.metadata_file.exists(): - fetcher.metadata_file.unlink() - - update_available = fetcher.check_for_updates() - - assert update_available == True - captured = capsys.readouterr() - assert "No cached metadata found" in captured.out - - -class TestCacheInfo: - """Test cache information retrieval.""" - - def test_get_cache_info_with_data(self, tmp_path): - """Test cache info retrieval with cached data.""" - cache_dir = tmp_path / ".jaxeffort_data" - cache_dir.mkdir() - - fetcher = MultipoleDataFetcher( - zenodo_url="https://example.com/test.tar.gz", - emulator_name="test_model", - cache_dir=cache_dir - ) - - # Create mock emulator directory with files - fetcher.emulators_dir.mkdir(parents=True) - (fetcher.emulators_dir / "test_file.txt").write_text("test content") - - # Create tar file - fetcher.tar_path.write_text("mock tar content") - - # Save metadata - metadata = { - 'downloaded_at': '2024-01-01T00:00:00', - 'checksum_verified': True - } - fetcher._save_metadata(metadata) - - # Get cache info - info = fetcher.get_cache_info() - - assert info['cache_dir'] == str(cache_dir) - assert info['emulator_name'] == 'test_model' - assert info['has_cached_data'] == True - assert 'extracted_size_mb' in info - assert 'tar_size_mb' in info - assert info['downloaded_at'] == '2024-01-01T00:00:00' - assert info['checksum_verified'] == True - - def test_get_cache_info_empty(self, tmp_path): - """Test cache info when no data is cached.""" - cache_dir = tmp_path / ".jaxeffort_data" - cache_dir.mkdir() - - fetcher = MultipoleDataFetcher( - zenodo_url="https://example.com/test.tar.gz", - emulator_name="test_model", - cache_dir=cache_dir - ) - - info = fetcher.get_cache_info() - - assert info['cache_dir'] == str(cache_dir) - assert info['emulator_name'] == 'test_model' - assert info['has_cached_data'] == False - assert 'extracted_size_mb' not in info - assert 'tar_size_mb' not in info - - -class TestConvenienceFunctions: - """Test module-level convenience functions.""" - - @patch('jaxeffort.data_fetcher.get_fetcher') - def test_clear_cache_convenience(self, mock_get_fetcher): - """Test the module-level clear_cache function.""" - mock_fetcher = MagicMock() - mock_get_fetcher.return_value = mock_fetcher - - # Test default model - clear_cache(show_progress=False) - mock_fetcher.clear_cache.assert_called_once_with(clear_tar=True, show_progress=False) - - # Test with specific model (using a real model name from EMULATOR_CONFIGS) - mock_fetcher.reset_mock() - with patch('jaxeffort.data_fetcher.MultipoleDataFetcher') as mock_class: - mock_instance = MagicMock() - mock_class.return_value = mock_instance - - clear_cache(model_name="pybird_mnuw0wacdm", clear_tar=False) - mock_instance.clear_cache.assert_called_once_with(clear_tar=False, show_progress=True) - - @patch('jaxeffort.data_fetcher.get_fetcher') - def test_check_for_updates_convenience(self, mock_get_fetcher): - """Test the module-level check_for_updates function.""" - mock_fetcher = MagicMock() - mock_fetcher.check_for_updates.return_value = True - mock_get_fetcher.return_value = mock_fetcher - - result = check_for_updates(show_progress=False) - - assert result == True - mock_fetcher.check_for_updates.assert_called_once_with(show_progress=False) - - @patch('jaxeffort.data_fetcher.Path') - def test_clear_all_cache(self, mock_path, capsys): - """Test clearing all cached data.""" - # Mock the path operations - mock_cache_dir = MagicMock() - mock_cache_dir.exists.return_value = True - mock_path.home.return_value = MagicMock() - mock_path.home.return_value.__truediv__.return_value = mock_cache_dir - - with patch('shutil.rmtree') as mock_rmtree: - clear_all_cache() - - mock_rmtree.assert_called_once_with(mock_cache_dir) - captured = capsys.readouterr() - assert "Cleared all cached data" in captured.out - - @patch('jaxeffort.data_fetcher.Path') - def test_clear_all_cache_no_data(self, mock_path, capsys): - """Test clearing when no cache exists.""" - # Mock non-existent cache directory - mock_cache_dir = MagicMock() - mock_cache_dir.exists.return_value = False - mock_path.home.return_value = MagicMock() - mock_path.home.return_value.__truediv__.return_value = mock_cache_dir - - clear_all_cache() - - captured = capsys.readouterr() - assert "No cached data to clear" in captured.out - - -class TestForceUpdate: - """Test force update functionality.""" - - def test_force_update_complete_cycle(self, tmp_path, capsys): - """Test complete force update process.""" - cache_dir = tmp_path / ".jaxeffort_data" - cache_dir.mkdir() - - # Create existing files - old_file = cache_dir / "old_file.txt" - old_file.write_text("old data") - - fetcher = MultipoleDataFetcher( - zenodo_url="https://example.com/test.tar.gz", - emulator_name="test_model", - cache_dir=cache_dir - ) - - # Mock the download_and_extract method - with patch.object(fetcher, 'download_and_extract', return_value=True): - success = fetcher.force_update() - - assert success == True - # Old file should be gone - assert not old_file.exists() - # Cache directory should be recreated - assert cache_dir.exists() - - captured = capsys.readouterr() - assert "Force updating multipole emulator data" in captured.out - assert "Cleared cache directory" in captured.out - assert "Recreated cache directory" in captured.out \ No newline at end of file diff --git a/tests/test_data_fetcher.py b/tests/test_data_fetcher.py deleted file mode 100644 index 6de5eae..0000000 --- a/tests/test_data_fetcher.py +++ /dev/null @@ -1,204 +0,0 @@ -""" -Tests for the data fetcher module. - -This module tests the data downloading, caching, and management -functionality of the MultipoleDataFetcher class. -""" - -import pytest -import tempfile -import shutil -from pathlib import Path -from unittest.mock import patch -import jax.numpy as jnp - - -class TestDataFetcherErrorPaths: - """Test data fetcher error handling.""" - - def test_clear_cache(self): - """Test clearing the cache.""" - from jaxeffort.data_fetcher import MultipoleDataFetcher - - # Create a fetcher with a temporary directory - with tempfile.TemporaryDirectory() as tmpdir: - fetcher = MultipoleDataFetcher( - zenodo_url="https://example.com/test.tar.gz", - emulator_name="test", - cache_dir=tmpdir - ) - - # Create some dummy files to clear - emulator_dir = Path(tmpdir) / "emulators" / "test" - emulator_dir.mkdir(parents=True, exist_ok=True) - (emulator_dir / "test.txt").write_text("test") - - tar_path = Path(tmpdir) / "test.tar.gz" - tar_path.write_text("dummy tar") - - # Clear cache - fetcher.clear_cache() - - # Check files are gone - assert not emulator_dir.exists() - assert not tar_path.exists() - - def test_download_failure(self): - """Test handling of download failures.""" - from jaxeffort.data_fetcher import MultipoleDataFetcher - - with tempfile.TemporaryDirectory() as tmpdir: - fetcher = MultipoleDataFetcher( - zenodo_url="https://nonexistent.example.com/nonexistent.tar.gz", - emulator_name="test", - cache_dir=tmpdir - ) - - # This should return False on failure - success = fetcher.download_and_extract(show_progress=False) - assert not success - - def test_checksum_verification_failure(self): - """Test checksum verification failure.""" - from jaxeffort.data_fetcher import MultipoleDataFetcher - - with tempfile.TemporaryDirectory() as tmpdir: - # Create a dummy tar file - tar_path = Path(tmpdir) / "test.tar.gz" - tar_path.write_bytes(b"dummy content") - - fetcher = MultipoleDataFetcher( - zenodo_url="file://" + str(tar_path), - emulator_name="test", - cache_dir=tmpdir, - expected_checksum="wrong_checksum" - ) - - # Mock the download to succeed but checksum to fail - with patch.object(fetcher, '_download_file', return_value=True): - with patch.object(fetcher, '_verify_checksum', return_value=False): - success = fetcher.download_and_extract(show_progress=False) - assert not success - - def test_extraction_failure(self): - """Test handling of extraction failures.""" - from jaxeffort.data_fetcher import MultipoleDataFetcher - - with tempfile.TemporaryDirectory() as tmpdir: - fetcher = MultipoleDataFetcher( - zenodo_url="https://example.com/test.tar.gz", - emulator_name="test", - cache_dir=tmpdir - ) - - # Create a corrupt tar file - tar_path = Path(tmpdir) / "test.tar.gz" - tar_path.write_bytes(b"not a valid tar file") - - # Mock download to succeed but extraction to fail - with patch.object(fetcher, '_download_file', return_value=True): - # Force tar_path to exist - fetcher.tar_path = tar_path - success = fetcher.download_and_extract(show_progress=False) - assert not success - - -class TestConvenienceFunctions: - """Test convenience functions in data_fetcher.""" - - def test_get_emulator_path(self): - """Test get_emulator_path convenience function.""" - from jaxeffort.data_fetcher import get_emulator_path - - # This should return the path to the cached emulator - path = get_emulator_path() - if path is not None: - assert path.exists() - assert (path / "0").exists() # Check for multipole folder - - def test_get_multipole_paths(self): - """Test get_multipole_paths convenience function.""" - from jaxeffort.data_fetcher import get_multipole_paths - - # This should return paths to individual multipoles - paths = get_multipole_paths() - if paths is not None: - assert 0 in paths - assert 2 in paths - assert 4 in paths - assert paths[0].exists() - assert paths[2].exists() - assert paths[4].exists() - - def test_get_fetcher_singleton(self): - """Test that get_fetcher returns the same instance.""" - from jaxeffort.data_fetcher import get_fetcher, _default_fetcher - - # Get fetcher twice - fetcher1 = get_fetcher() - fetcher2 = get_fetcher() - - # Should be the same instance - assert fetcher1 is fetcher2 - assert fetcher1 is _default_fetcher - - -class TestMultipoleFolderVerification: - """Test multipole folder structure verification.""" - - def test_verify_multipole_structure_complete(self, tmp_path): - """Test verification of complete multipole structure.""" - from jaxeffort.data_fetcher import MultipoleDataFetcher - - # Create complete multipole structure - for l in ["0", "2", "4"]: - mp_dir = tmp_path / l - mp_dir.mkdir() - for comp in ["11", "loop", "ct"]: - (mp_dir / comp).mkdir() - - fetcher = MultipoleDataFetcher( - zenodo_url="https://example.com/test.tar.gz", - emulator_name="test", - cache_dir=tmp_path.parent - ) - - # Should verify successfully - assert fetcher._verify_multipole_structure(tmp_path, show_progress=False) - - def test_verify_multipole_structure_incomplete(self, tmp_path): - """Test verification of incomplete multipole structure.""" - from jaxeffort.data_fetcher import MultipoleDataFetcher - - # Create incomplete structure (missing l=4) - for l in ["0", "2"]: - mp_dir = tmp_path / l - mp_dir.mkdir() - for comp in ["11", "loop", "ct"]: - (mp_dir / comp).mkdir() - - fetcher = MultipoleDataFetcher( - zenodo_url="https://example.com/test.tar.gz", - emulator_name="test", - cache_dir=tmp_path.parent - ) - - # Should verify successfully (partial multipoles are OK) - assert fetcher._verify_multipole_structure(tmp_path, show_progress=False) - - def test_verify_component_structure(self, tmp_path): - """Test verification of component-only structure.""" - from jaxeffort.data_fetcher import MultipoleDataFetcher - - # Create component structure (no multipole folders) - for comp in ["11", "loop", "ct"]: - (tmp_path / comp).mkdir() - - fetcher = MultipoleDataFetcher( - zenodo_url="https://example.com/test.tar.gz", - emulator_name="test", - cache_dir=tmp_path.parent - ) - - # Should verify successfully - assert fetcher._verify_multipole_structure(tmp_path, show_progress=False) \ No newline at end of file diff --git a/tests/test_data_fetcher_robust.py b/tests/test_data_fetcher_robust.py deleted file mode 100644 index df8f699..0000000 --- a/tests/test_data_fetcher_robust.py +++ /dev/null @@ -1,554 +0,0 @@ -""" -Robust tests for data_fetcher module focusing on real-world scenarios. - -These tests validate critical behaviors rather than just increasing coverage: -- Version detection and cache invalidation -- Atomic operations and failure recovery -- Concurrent access safety -- Data integrity verification -""" - -import os -import json -import tarfile -import hashlib -import tempfile -import threading -import time -from pathlib import Path -from unittest.mock import patch, MagicMock, PropertyMock -from datetime import datetime, timedelta -import pytest -import urllib.error -import urllib.request -import shutil - -# NOTE: DO NOT set environment variables at module level! -# This pollutes the environment for all subsequent tests in the session. -# Use fixtures or context managers instead. - -import sys -sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__)))) - - -@pytest.fixture(scope="module", autouse=True) -def disable_auto_download(): - """Disable auto-download for this test module only.""" - old_value = os.environ.get("JAXEFFORT_NO_AUTO_DOWNLOAD") - os.environ["JAXEFFORT_NO_AUTO_DOWNLOAD"] = "1" - yield - # Restore original value - if old_value is None: - os.environ.pop("JAXEFFORT_NO_AUTO_DOWNLOAD", None) - else: - os.environ["JAXEFFORT_NO_AUTO_DOWNLOAD"] = old_value - -from jaxeffort.data_fetcher import MultipoleDataFetcher - - -class TestVersionDetection: - """Test that version detection correctly identifies when updates are needed.""" - - def test_etag_change_triggers_update(self, tmp_path): - """Verify that ETag changes are detected as updates.""" - fetcher = MultipoleDataFetcher( - zenodo_url="https://zenodo.org/test.tar.gz", - emulator_name="test", - cache_dir=tmp_path - ) - - # Simulate initial download with ETag - initial_metadata = { - 'downloaded_at': datetime.now().isoformat(), - 'remote_info': { - 'etag': 'initial-etag-v1', - 'size': 1000000, - 'last_modified': 'Mon, 01 Jan 2024 00:00:00 GMT' - } - } - fetcher._save_metadata(initial_metadata) - - # Mock remote check returning different ETag - with patch.object(fetcher, '_get_remote_info') as mock_remote: - mock_remote.return_value = { - 'etag': 'updated-etag-v2', # Changed - 'size': 1000000, # Same size - 'last_modified': 'Mon, 01 Jan 2024 00:00:00 GMT' # Same date - } - - # Should detect update even if size and date are same - assert fetcher.check_for_updates(show_progress=False) == True - - def test_no_false_positives_in_update_detection(self, tmp_path): - """Ensure updates aren't falsely detected when content hasn't changed.""" - fetcher = MultipoleDataFetcher( - zenodo_url="https://zenodo.org/test.tar.gz", - emulator_name="test", - cache_dir=tmp_path - ) - - # Set up metadata - metadata = { - 'downloaded_at': datetime.now().isoformat(), - 'remote_info': { - 'etag': 'stable-etag', - 'size': 1000000, - 'last_modified': 'Mon, 01 Jan 2024 00:00:00 GMT' - } - } - fetcher._save_metadata(metadata) - - # Mock remote returning exact same values - with patch.object(fetcher, '_get_remote_info') as mock_remote: - mock_remote.return_value = metadata['remote_info'].copy() - - # Should NOT detect update - assert fetcher.check_for_updates(show_progress=False) == False - - def test_handles_missing_etag_gracefully(self, tmp_path): - """Test fallback to size/date when ETag is unavailable.""" - fetcher = MultipoleDataFetcher( - zenodo_url="https://zenodo.org/test.tar.gz", - emulator_name="test", - cache_dir=tmp_path - ) - - # Metadata without ETag - metadata = { - 'downloaded_at': datetime.now().isoformat(), - 'remote_info': { - 'size': 1000000, - 'last_modified': 'Mon, 01 Jan 2024 00:00:00 GMT' - } - } - fetcher._save_metadata(metadata) - - # Remote returns different size (no ETag) - with patch.object(fetcher, '_get_remote_info') as mock_remote: - mock_remote.return_value = { - 'size': 2000000, # Different size - 'last_modified': 'Mon, 01 Jan 2024 00:00:00 GMT' - } - - # Should detect update based on size change - assert fetcher.check_for_updates(show_progress=False) == True - - -class TestAtomicOperations: - """Ensure operations are atomic - no partial states left behind.""" - - def test_download_cleanup_on_failure(self, tmp_path): - """Verify temporary files are cleaned up when download fails.""" - fetcher = MultipoleDataFetcher( - zenodo_url="https://zenodo.org/test.tar.gz", - emulator_name="test", - cache_dir=tmp_path - ) - - # Mock a download that fails halfway - with patch('urllib.request.urlretrieve') as mock_download: - mock_download.side_effect = urllib.error.URLError("Network error") - - success = fetcher._download_file( - "https://zenodo.org/test.tar.gz", - fetcher.tar_path, - show_progress=False - ) - - assert success == False - # Temp file should be cleaned up - temp_file = fetcher.tar_path.with_suffix('.tmp') - assert not temp_file.exists() - # Final file should not exist - assert not fetcher.tar_path.exists() - - def test_extraction_cleanup_on_failure(self, tmp_path): - """Verify partial extraction is cleaned up on failure.""" - fetcher = MultipoleDataFetcher( - zenodo_url="https://zenodo.org/test.tar.gz", - emulator_name="test", - cache_dir=tmp_path - ) - - # Create a corrupted tar file - tar_path = tmp_path / "corrupted.tar.gz" - tar_path.write_bytes(b"not a real tar file") - - # Try to extract - extract_to = tmp_path / "extract_test" - success = fetcher._extract_tar(tar_path, extract_to, show_progress=False) - - assert success == False - # The extraction directory might be created but should be empty or minimal - if extract_to.exists(): - # Should not have successfully extracted multipole folders - assert not (extract_to / "0").exists() - assert not (extract_to / "2").exists() - assert not (extract_to / "4").exists() - - def test_force_update_is_atomic(self, tmp_path): - """Verify force_update either fully succeeds or fully fails.""" - fetcher = MultipoleDataFetcher( - zenodo_url="https://zenodo.org/test.tar.gz", - emulator_name="test", - cache_dir=tmp_path - ) - - # Create existing cache with data - fetcher.emulators_dir.mkdir(parents=True) - test_file = fetcher.emulators_dir / "existing_data.txt" - test_file.write_text("important cached data") - - # Mock download to fail - with patch.object(fetcher, 'download_and_extract', return_value=False): - success = fetcher.force_update(show_progress=False) - - assert success == False - # Cache dir should still exist (recreated even if download fails) - assert fetcher.cache_dir.exists() - # But old data should be gone (atomic - clear then try to download) - assert not test_file.exists() - - -class TestDataIntegrity: - """Verify data integrity through checksums and structure validation.""" - - def test_checksum_verification_prevents_corruption(self, tmp_path): - """Ensure corrupted downloads are detected via checksum.""" - expected_checksum = hashlib.sha256(b"correct content").hexdigest() - - fetcher = MultipoleDataFetcher( - zenodo_url="https://zenodo.org/test.tar.gz", - emulator_name="test", - cache_dir=tmp_path, - expected_checksum=expected_checksum - ) - - # Create file with wrong content - bad_file = tmp_path / "bad.tar.gz" - bad_file.write_bytes(b"corrupted content") - - # Verification should fail - assert fetcher._verify_checksum(bad_file, expected_checksum) == False - - # Create file with correct content - good_file = tmp_path / "good.tar.gz" - good_file.write_bytes(b"correct content") - - # Verification should pass - assert fetcher._verify_checksum(good_file, expected_checksum) == True - - def test_structure_verification_catches_incomplete_downloads(self, tmp_path): - """Verify that incomplete emulator structures are detected.""" - fetcher = MultipoleDataFetcher( - zenodo_url="https://zenodo.org/test.tar.gz", - emulator_name="test", - cache_dir=tmp_path - ) - - # Create truly incomplete structure (multipole folder without required components) - base_path = tmp_path / "incomplete" - base_path.mkdir() - - # Create l=0 folder but missing some component folders - (base_path / "0").mkdir() - (base_path / "0" / "11").mkdir() # Only has 11, missing loop and ct - - # Should fail verification (has multipole folder but incomplete components) - assert fetcher._verify_multipole_structure(base_path, show_progress=False) == False - - # Create partial but valid structure (only l=0 with all components) - partial_path = tmp_path / "partial" - partial_path.mkdir() - for comp in ["11", "loop", "ct"]: - (partial_path / "0" / comp).mkdir(parents=True) - - # Should pass verification (even with just one complete multipole) - assert fetcher._verify_multipole_structure(partial_path, show_progress=False) == True - - # Create complete structure - complete_path = tmp_path / "complete" - for l in ["0", "2", "4"]: - for comp in ["11", "loop", "ct"]: - (complete_path / l / comp).mkdir(parents=True) - - # Should pass verification - assert fetcher._verify_multipole_structure(complete_path, show_progress=False) == True - - def test_rejects_wrong_structure_type(self, tmp_path): - """Ensure wrong directory structures are rejected.""" - fetcher = MultipoleDataFetcher( - zenodo_url="https://zenodo.org/test.tar.gz", - emulator_name="test", - cache_dir=tmp_path - ) - - # Create wrong structure (random folders) - wrong_path = tmp_path / "wrong" - wrong_path.mkdir() - (wrong_path / "random_folder").mkdir() - (wrong_path / "another_folder").mkdir() - - # Should fail verification - assert fetcher._verify_multipole_structure(wrong_path, show_progress=False) == False - - -class TestConcurrentAccess: - """Test behavior with concurrent access to cache.""" - - def test_concurrent_cache_checks_are_safe(self, tmp_path): - """Multiple threads checking cache status shouldn't cause issues.""" - fetcher = MultipoleDataFetcher( - zenodo_url="https://zenodo.org/test.tar.gz", - emulator_name="test", - cache_dir=tmp_path - ) - - # Save some metadata - fetcher._save_metadata({'test': 'data', 'counter': 0}) - - results = [] - errors = [] - - def check_cache(): - try: - info = fetcher.get_cache_info() - results.append(info) - except Exception as e: - errors.append(e) - - # Launch multiple threads - threads = [] - for _ in range(10): - t = threading.Thread(target=check_cache) - threads.append(t) - t.start() - - # Wait for completion - for t in threads: - t.join() - - # Should have no errors - assert len(errors) == 0 - # Should have results from all threads - assert len(results) == 10 - # All results should be consistent - for info in results: - assert info['cache_dir'] == str(tmp_path) - assert info['emulator_name'] == 'test' - - - -class TestNetworkResilience: - """Test handling of various network conditions.""" - - def test_retry_on_temporary_network_failure(self, tmp_path): - """Test graceful handling of temporary network issues.""" - fetcher = MultipoleDataFetcher( - zenodo_url="https://zenodo.org/test.tar.gz", - emulator_name="test", - cache_dir=tmp_path - ) - - # Simulate intermittent network (fails once, then succeeds) - call_count = [0] - def mock_urlretrieve(url, destination, reporthook=None): - call_count[0] += 1 - if call_count[0] == 1: - raise urllib.error.URLError("Temporary network issue") - # Second call succeeds - Path(destination).write_bytes(b"downloaded content") - - with patch('urllib.request.urlretrieve', side_effect=mock_urlretrieve): - # First attempt should fail - success = fetcher._download_file( - "https://zenodo.org/test.tar.gz", - fetcher.tar_path, - show_progress=False - ) - assert success == False - - # Second attempt should succeed - success = fetcher._download_file( - "https://zenodo.org/test.tar.gz", - fetcher.tar_path, - show_progress=False - ) - assert success == True - assert fetcher.tar_path.read_bytes() == b"downloaded content" - - def test_handles_timeout_gracefully(self, tmp_path): - """Verify timeout handling doesn't leave partial files.""" - fetcher = MultipoleDataFetcher( - zenodo_url="https://zenodo.org/test.tar.gz", - emulator_name="test", - cache_dir=tmp_path - ) - - with patch('urllib.request.urlretrieve') as mock_download: - # Simulate timeout - mock_download.side_effect = TimeoutError("Download timeout") - - success = fetcher._download_file( - "https://zenodo.org/test.tar.gz", - fetcher.tar_path, - show_progress=False - ) - - assert success == False - # No partial files should remain - assert not fetcher.tar_path.exists() - assert not fetcher.tar_path.with_suffix('.tmp').exists() - - -class TestUserExperience: - """Test user-facing features like progress reporting and error messages.""" - - def test_download_progress_reporting_accuracy(self, tmp_path, capsys): - """Verify download progress is reported accurately.""" - fetcher = MultipoleDataFetcher( - zenodo_url="https://zenodo.org/test.tar.gz", - emulator_name="test", - cache_dir=tmp_path - ) - - # Mock urlretrieve with progress callbacks - def mock_urlretrieve(url, dest, reporthook=None): - if reporthook: - # Simulate download progress - total_size = 10 * 1024 * 1024 # 10 MB - block_size = 8192 - for block_num in range(0, total_size // block_size + 1): - reporthook(block_num, block_size, total_size) - Path(dest).write_bytes(b"content") - - with patch('urllib.request.urlretrieve', side_effect=mock_urlretrieve): - success = fetcher._download_file( - "https://zenodo.org/test.tar.gz", - fetcher.tar_path, - show_progress=True - ) - - assert success == True - captured = capsys.readouterr() - # Should show download progress - assert "Downloading" in captured.out - assert "MB" in captured.out - - def test_clear_error_messages_on_failure(self, tmp_path, capsys): - """Ensure error messages are clear and actionable.""" - fetcher = MultipoleDataFetcher( - zenodo_url="https://zenodo.org/test.tar.gz", - emulator_name="test", - cache_dir=tmp_path - ) - - # Test network error message - with patch('urllib.request.urlretrieve') as mock_download: - mock_download.side_effect = urllib.error.URLError("Network is unreachable") - - success = fetcher._download_file( - "https://zenodo.org/test.tar.gz", - fetcher.tar_path, - show_progress=True - ) - - assert success == False - captured = capsys.readouterr() - assert "Error downloading" in captured.out - assert "Network is unreachable" in captured.out - - -class TestRealWorldScenarios: - """Test complete real-world usage scenarios.""" - - def test_fresh_install_workflow(self, tmp_path): - """Test the complete workflow for a fresh installation.""" - fetcher = MultipoleDataFetcher( - zenodo_url="https://zenodo.org/test.tar.gz", - emulator_name="test", - cache_dir=tmp_path - ) - - # Mock successful download and extraction - mock_tar_content = self._create_mock_tar_with_emulators(tmp_path) - - with patch('urllib.request.urlretrieve') as mock_download: - def save_tar(url, dest, reporthook=None): - shutil.copy(mock_tar_content, dest) - - mock_download.side_effect = save_tar - - # Should successfully download and extract - success = fetcher.download_and_extract(show_progress=False) - assert success == True - - # Should have created the correct structure - assert fetcher.emulators_dir.exists() - for l in ["0", "2", "4"]: - assert (fetcher.emulators_dir / l).exists() - for comp in ["11", "loop", "ct"]: - assert (fetcher.emulators_dir / l / comp).exists() - - # Metadata should be saved - metadata = fetcher._load_metadata() - assert 'downloaded_at' in metadata - assert metadata['emulator_name'] == 'test' - - def test_update_workflow_with_cached_data(self, tmp_path): - """Test updating from an old cached version to a new one.""" - fetcher = MultipoleDataFetcher( - zenodo_url="https://zenodo.org/test.tar.gz", - emulator_name="test", - cache_dir=tmp_path - ) - - # Set up old cached data - old_metadata = { - 'downloaded_at': '2023-01-01T00:00:00', - 'remote_info': {'etag': 'old-version', 'size': 1000000} - } - fetcher._save_metadata(old_metadata) - - # Create old emulator structure - fetcher.emulators_dir.mkdir(parents=True) - old_file = fetcher.emulators_dir / "old_version.txt" - old_file.write_text("old data") - - # Mock update check showing new version - with patch.object(fetcher, '_get_remote_info') as mock_remote: - mock_remote.return_value = {'etag': 'new-version', 'size': 2000000} - - # Should detect update - assert fetcher.check_for_updates(show_progress=False) == True - - # Mock force update - with patch.object(fetcher, 'download_and_extract', return_value=True): - success = fetcher.force_update(show_progress=False) - assert success == True - - # Old file should be gone (cache was cleared) - assert not old_file.exists() - - def _create_mock_tar_with_emulators(self, tmp_path): - """Helper to create a mock tar.gz with correct structure.""" - # Create temporary directory with emulator structure - temp_dir = tmp_path / "temp_emulators" - for l in ["0", "2", "4"]: - for comp in ["11", "loop", "ct"]: - comp_dir = temp_dir / l / comp - comp_dir.mkdir(parents=True) - # Add a dummy file - (comp_dir / "weights.npy").write_text("dummy weights") - - # Create tar.gz - tar_path = tmp_path / "mock_emulators.tar.gz" - with tarfile.open(tar_path, "w:gz") as tar: - tar.add(temp_dir, arcname=".") - - return tar_path - - -# Run tests -if __name__ == "__main__": - pytest.main([__file__, "-v"]) \ No newline at end of file diff --git a/tests/test_init_robust.py b/tests/test_init_robust.py deleted file mode 100644 index 205da55..0000000 --- a/tests/test_init_robust.py +++ /dev/null @@ -1,314 +0,0 @@ -""" -Robust tests for __init__.py focusing on real initialization scenarios. - -These tests validate: -- Auto-loading behavior and error recovery -- Noise emulator detection and loading -- Configuration management -- Graceful degradation when data unavailable -""" - -import os -import sys -import importlib -import tempfile -import shutil -from pathlib import Path -from unittest.mock import patch, MagicMock, Mock -import pytest -import warnings - -# NOTE: DO NOT set environment variables at module level! -# This pollutes the environment for all subsequent tests in the session. -# Use fixtures or context managers instead. - -# Add parent directory to path -sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__)))) - - -@pytest.fixture(scope="module", autouse=True) -def disable_auto_download(): - """Disable auto-download for this test module only.""" - old_value = os.environ.get("JAXEFFORT_NO_AUTO_DOWNLOAD") - os.environ["JAXEFFORT_NO_AUTO_DOWNLOAD"] = "1" - yield - # Restore original value - if old_value is None: - os.environ.pop("JAXEFFORT_NO_AUTO_DOWNLOAD", None) - else: - os.environ["JAXEFFORT_NO_AUTO_DOWNLOAD"] = old_value - - -class TestAutoLoadingBehavior: - """Test automatic loading of emulators on import.""" - - def test_respects_no_auto_download_env_var(self): - """Verify NO_AUTO_DOWNLOAD environment variable is respected.""" - # Force reimport with NO_AUTO_DOWNLOAD set - with patch.dict(os.environ, {'JAXEFFORT_NO_AUTO_DOWNLOAD': '1'}, clear=True): - # Remove from sys.modules to force fresh import - if 'jaxeffort' in sys.modules: - del sys.modules['jaxeffort'] - if 'jaxeffort.jaxeffort' in sys.modules: - del sys.modules['jaxeffort.jaxeffort'] - if 'jaxeffort.data_fetcher' in sys.modules: - del sys.modules['jaxeffort.data_fetcher'] - - import jaxeffort - - # Should have empty structure, not downloaded data - for model_name in jaxeffort.EMULATOR_CONFIGS: - assert model_name in jaxeffort.trained_emulators - # All should be None when auto-download disabled - for multipole in ['0', '2', '4']: - assert jaxeffort.trained_emulators[model_name][multipole] is None or \ - jaxeffort.trained_emulators[model_name][multipole].__class__.__name__ == 'MultipoleEmulators', \ - f"Expected None or already loaded emulator for {model_name}[{multipole}]" - - def test_auto_download_triggers_when_enabled(self, tmp_path, monkeypatch): - """Verify auto-download happens when environment allows.""" - # Create a mock that tracks download attempts - download_attempts = [] - - def mock_get_multipole_paths(*args, **kwargs): - download_attempts.append(kwargs.get('download_if_missing', True)) - # Return mock paths - return {0: tmp_path / "0", 2: tmp_path / "2", 4: tmp_path / "4"} - - # Remove the env var to enable auto-download - monkeypatch.delenv("JAXEFFORT_NO_AUTO_DOWNLOAD", raising=False) - - # Patch the data fetcher - with patch('jaxeffort.data_fetcher.MultipoleDataFetcher.get_multipole_paths', - side_effect=mock_get_multipole_paths): - # Force reimport to trigger auto-download - if 'jaxeffort' in sys.modules: - del sys.modules['jaxeffort'] - - import jaxeffort - - # Should have attempted downloads - assert len(download_attempts) > 0 - assert any(download_attempts) # At least one should be True - - def test_graceful_degradation_on_download_failure(self, monkeypatch): - """Ensure import doesn't fail even if downloads fail.""" - # Remove env var to enable auto-download - monkeypatch.delenv("JAXEFFORT_NO_AUTO_DOWNLOAD", raising=False) - - # Mock download to fail - with patch('jaxeffort.data_fetcher.MultipoleDataFetcher.get_multipole_paths', - return_value=None): - # Force reimport - if 'jaxeffort' in sys.modules: - del sys.modules['jaxeffort'] - - # Import should succeed despite download failure - import jaxeffort - - # Should have empty entries - for model_name in jaxeffort.EMULATOR_CONFIGS: - assert model_name in jaxeffort.trained_emulators - for multipole in ['0', '2', '4']: - assert jaxeffort.trained_emulators[model_name][multipole] is None - - -class TestErrorRecovery: - """Test error recovery during emulator loading.""" - - def test_complete_loading_failure_handling(self): - """Verify handling when all emulators fail to load.""" - # Set environment to prevent auto-download - with patch.dict(os.environ, {'JAXEFFORT_NO_AUTO_DOWNLOAD': '1'}): - # Clear module cache to ensure clean import - if 'jaxeffort' in sys.modules: - del sys.modules['jaxeffort'] - if 'jaxeffort.jaxeffort' in sys.modules: - del sys.modules['jaxeffort.jaxeffort'] - if 'jaxeffort.data_fetcher' in sys.modules: - del sys.modules['jaxeffort.data_fetcher'] - - # Now import with clean slate - import jaxeffort - from jaxeffort import _load_emulator_set - - # Mock everything to fail - with patch('jaxeffort.data_fetcher.get_fetcher') as mock_get_fetcher: - mock_fetcher = MagicMock() - mock_fetcher.get_multipole_paths.side_effect = Exception("Network error") - mock_get_fetcher.return_value = mock_fetcher - - with warnings.catch_warnings(record=True) as w: - warnings.simplefilter("always") # Ensure warnings are captured - config = {'zenodo_url': 'test.tar.gz', 'has_noise': False} - emulators = _load_emulator_set('failed_model', config, auto_download=True) - - # Should have warning - assert len(w) > 0 - assert "Could not initialize failed_model" in str(w[0].message) - - # Should return empty structure - assert emulators == {'0': None, '2': None, '4': None} - - -class TestConfigurationManagement: - """Test emulator configuration management.""" - - def test_add_emulator_config_and_load(self, tmp_path): - """Test adding new emulator configurations dynamically.""" - import jaxeffort - - # Mock successful loading - mock_emulator = MagicMock(spec=['get_Pl']) - - with patch('jaxeffort._load_emulator_set') as mock_load: - mock_load.return_value = { - '0': mock_emulator, - '2': mock_emulator, - '4': mock_emulator - } - - # Add new configuration - result = jaxeffort.add_emulator_config( - model_name='custom_model', - zenodo_url='https://zenodo.org/custom.tar.gz', - description='Custom test model', - has_noise=True, - checksum='abc123', - auto_load=True - ) - - # Should be in configs - assert 'custom_model' in jaxeffort.EMULATOR_CONFIGS - assert jaxeffort.EMULATOR_CONFIGS['custom_model']['has_noise'] == True - assert jaxeffort.EMULATOR_CONFIGS['custom_model']['checksum'] == 'abc123' - - # Should have loaded - assert mock_load.called - assert 'custom_model' in jaxeffort.trained_emulators - assert result == jaxeffort.trained_emulators['custom_model'] - - def test_reload_specific_model(self, tmp_path): - """Test reloading a specific model's emulators.""" - import jaxeffort - - # Add a test model first - jaxeffort.EMULATOR_CONFIGS['reload_test'] = { - 'zenodo_url': 'test.tar.gz', - 'has_noise': False - } - - reload_count = [0] - - def mock_load(name, config, auto_download): - reload_count[0] += 1 - return {'0': MagicMock(), '2': MagicMock(), '4': MagicMock()} - - with patch('jaxeffort._load_emulator_set', side_effect=mock_load): - # Reload specific model - jaxeffort.reload_emulators('reload_test') - - assert reload_count[0] == 1 - assert 'reload_test' in jaxeffort.trained_emulators - - def test_reload_all_models(self): - """Test reloading all configured models.""" - import jaxeffort - - reload_calls = [] - - def mock_load(name, config, auto_download): - reload_calls.append(name) - return {'0': None, '2': None, '4': None} - - with patch('jaxeffort._load_emulator_set', side_effect=mock_load): - # Reload all - jaxeffort.reload_emulators() - - # Should reload each configured model - for model_name in jaxeffort.EMULATOR_CONFIGS: - assert model_name in reload_calls - - def test_reload_unknown_model_raises(self): - """Test that reloading unknown model raises error.""" - import jaxeffort - - with pytest.raises(ValueError, match="Unknown model: nonexistent"): - jaxeffort.reload_emulators('nonexistent') - - -class TestImportFallbacks: - """Test import mechanisms for jaxace.""" - - def test_import_omega_m_a(self): - """Test that Ωm_a is imported from jaxace.""" - import jaxeffort.jaxeffort as jef - - # Check that Ωm_a exists (the standard import) - assert hasattr(jef, 'Ωm_a') - - -class TestInitializationIntegrity: - """Test overall initialization integrity.""" - - def test_trained_emulators_structure(self): - """Verify trained_emulators has correct structure.""" - import jaxeffort - - # Should have entry for each configured model - for model_name in jaxeffort.EMULATOR_CONFIGS: - assert model_name in jaxeffort.trained_emulators - - # Each model should have 3 multipoles - assert '0' in jaxeffort.trained_emulators[model_name] - assert '2' in jaxeffort.trained_emulators[model_name] - assert '4' in jaxeffort.trained_emulators[model_name] - - def test_exported_functions_available(self): - """Verify all advertised functions are exported.""" - import jaxeffort - - # Core functions that should be available - expected_exports = [ - 'load_multipole_emulator', - 'clear_cache', - 'force_update', - 'check_for_updates', - 'get_cache_info', - 'add_emulator_config', - 'reload_emulators', - 'trained_emulators', - 'EMULATOR_CONFIGS' - ] - - for export in expected_exports: - assert hasattr(jaxeffort, export), f"Missing export: {export}" - - def test_initialization_is_deterministic(self): - """Verify initialization produces consistent results.""" - # Clean slate - remove all jaxeffort modules - modules_to_remove = [m for m in sys.modules if m.startswith('jaxeffort')] - for module in modules_to_remove: - del sys.modules[module] - - # First import - import jaxeffort - - # Get initial state - should only have the default config - initial_configs = {'pybird_mnuw0wacdm': jaxeffort.EMULATOR_CONFIGS['pybird_mnuw0wacdm']} - initial_models = ['pybird_mnuw0wacdm'] # Only the default model - - # Force reimport - modules_to_remove = [m for m in sys.modules if m.startswith('jaxeffort')] - for module in modules_to_remove: - del sys.modules[module] - import jaxeffort as jaxeffort2 - - # Should have same base configuration (ignore any added by tests) - assert 'pybird_mnuw0wacdm' in jaxeffort2.EMULATOR_CONFIGS - assert jaxeffort2.EMULATOR_CONFIGS['pybird_mnuw0wacdm'] == initial_configs['pybird_mnuw0wacdm'] - assert 'pybird_mnuw0wacdm' in jaxeffort2.trained_emulators - - -if __name__ == "__main__": - pytest.main([__file__, "-v"]) \ No newline at end of file diff --git a/tests/test_initialization.py b/tests/test_initialization.py index be4a41c..70c88b0 100644 --- a/tests/test_initialization.py +++ b/tests/test_initialization.py @@ -31,7 +31,7 @@ def test_no_auto_download_mode(self): importlib.reload(jaxeffort) # Check that emulators have None values when disabled - for model_name in jaxeffort.EMULATOR_CONFIGS: + for model_name in jaxeffort.list_emulators(): assert model_name in jaxeffort.trained_emulators # Should have keys "0", "2", "4" all set to None assert jaxeffort.trained_emulators[model_name]["0"] is None @@ -54,33 +54,27 @@ def test_no_auto_download_mode(self): class TestDynamicEmulatorConfig: """Test dynamic emulator configuration functions.""" - def test_add_emulator_config(self): - """Test adding a new emulator configuration.""" + def test_list_emulators(self): + """Test listing available emulators from Artifacts.toml.""" import jaxeffort - # Add a test configuration (without auto_load to avoid actual download) - result = jaxeffort.add_emulator_config( - model_name="test_model", - zenodo_url="https://example.com/test.tar.gz", - description="Test emulator", - has_noise=True, - checksum="abc123", - auto_load=False - ) - - # Check it was added - assert "test_model" in jaxeffort.EMULATOR_CONFIGS - assert jaxeffort.EMULATOR_CONFIGS["test_model"]["zenodo_url"] == "https://example.com/test.tar.gz" - assert jaxeffort.EMULATOR_CONFIGS["test_model"]["description"] == "Test emulator" - assert jaxeffort.EMULATOR_CONFIGS["test_model"]["has_noise"] is True - assert jaxeffort.EMULATOR_CONFIGS["test_model"]["checksum"] == "abc123" - - # Check result - assert not result.get("loaded", False) - - # Clean up - del jaxeffort.EMULATOR_CONFIGS["test_model"] - del jaxeffort.trained_emulators["test_model"] + emulators = jaxeffort.list_emulators() + + # Should have at least the three default emulators + assert "pybird_mnuw0wacdm" in emulators + assert "velocileptors_lpt_mnuw0wacdm" in emulators + assert "velocileptors_rept_mnuw0wacdm" in emulators + + def test_get_emulator_info(self): + """Test getting emulator info from Artifacts.toml.""" + import jaxeffort + + info = jaxeffort.get_emulator_info("pybird_mnuw0wacdm") + + assert info["name"] == "pybird_mnuw0wacdm" + assert "git_tree_sha1" in info + assert "description" in info + assert "has_noise" in info def test_reload_emulators_specific_model(self): """Test reloading a specific emulator.""" @@ -113,7 +107,7 @@ def test_reload_all_emulators(self): result = jaxeffort.reload_emulators() # Check all configured models are in result - for model_name in jaxeffort.EMULATOR_CONFIGS: + for model_name in jaxeffort.list_emulators(): assert model_name in result @@ -159,23 +153,15 @@ def test_get_multipole_emulator_missing_multipole(self): class TestEmulatorLoadingErrors: """Test error handling during emulator loading.""" - def test_load_emulator_with_exception(self): - """Test emulator loading with exceptions.""" + def test_load_emulator_with_nonexistent_model(self): + """Test emulator loading with nonexistent model.""" import jaxeffort from jaxeffort import _load_emulator_set - # Create a config that will fail - bad_config = { - "zenodo_url": "https://nonexistent.example.com/bad.tar.gz", - "description": "Bad emulator", - "has_noise": False - } - - # This should handle the exception gracefully - patch to simulate error - with patch('jaxeffort.data_fetcher.MultipoleDataFetcher.get_multipole_paths', return_value=None): - result = _load_emulator_set("bad_model", bad_config, auto_download=False) - - # Should return dict with None values - assert result["0"] is None - assert result["2"] is None - assert result["4"] is None \ No newline at end of file + # Loading a model that doesn't exist in Artifacts.toml should handle gracefully + result = _load_emulator_set("nonexistent_model", auto_download=False) + + # Should return dict with None values + assert result["0"] is None + assert result["2"] is None + assert result["4"] is None \ No newline at end of file From 23a9476f4989fd2f736d4b3566e547bec256e8a3 Mon Sep 17 00:00:00 2001 From: marcobonici Date: Wed, 3 Dec 2025 00:21:26 -0500 Subject: [PATCH 4/5] Updated dependency on jaxace; loosened constraint on jax --- jaxeffort/__init__.py | 4 +- jaxeffort/jaxeffort.py | 2 +- poetry.lock | 276 ++++++++++++--------------- pyproject.toml | 4 +- tests/fixtures/sample_cosmologies.py | 4 +- tests/test_background_functions.py | 6 +- 6 files changed, 136 insertions(+), 160 deletions(-) diff --git a/jaxeffort/__init__.py b/jaxeffort/__init__.py index 84e4da6..d4b2f9c 100644 --- a/jaxeffort/__init__.py +++ b/jaxeffort/__init__.py @@ -23,7 +23,7 @@ load_preprocessing, load_stoch_model, # Cosmology functions from jaxace (re-exported for convenience) - W0WaCDMCosmology, + w0waCDMCosmology, a_z, E_a, E_z, @@ -151,7 +151,7 @@ def get_emulator_info(model_name: str) -> Dict[str, Any]: "trained_emulators", "reload_emulators", # Cosmology functions (from jaxace) - "W0WaCDMCosmology", + "w0waCDMCosmology", "a_z", "E_a", "E_z", diff --git a/jaxeffort/jaxeffort.py b/jaxeffort/jaxeffort.py index 2674352..f5cab45 100644 --- a/jaxeffort/jaxeffort.py +++ b/jaxeffort/jaxeffort.py @@ -11,7 +11,7 @@ # Import all background cosmology functions from jaxace # Handle different jaxace versions that may export Ωma or Ωm_a from jaxace.background import ( - W0WaCDMCosmology, + w0waCDMCosmology, a_z, E_a, E_z, dlogEdloga, Ωm_a, D_z, f_z, D_f_z, r_z, dA_z, dL_z, diff --git a/poetry.lock b/poetry.lock index 634f0d1..d3306a6 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.2.1 and should not be changed by hand. [[package]] name = "absl-py" @@ -6,6 +6,7 @@ version = "2.3.1" description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "absl_py-2.3.1-py3-none-any.whl", hash = "sha256:eeecf07f0c2a93ace0772c92e596ace6d3d3996c042b2128459aaae2a76de11d"}, {file = "absl_py-2.3.1.tar.gz", hash = "sha256:a97820526f7fbfd2ec1bce83f3f25e3a14840dac0d8e02a0b71cd75db3f77fc9"}, @@ -17,6 +18,7 @@ version = "23.12.1" description = "The uncompromising code formatter." optional = false python-versions = ">=3.8" +groups = ["dev"] files = [ {file = "black-23.12.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e0aaf6041986767a5e0ce663c7a2f0e9eaf21e6ff87a5f95cbf3675bfd4c41d2"}, {file = "black-23.12.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c88b3711d12905b74206227109272673edce0cb29f27e1385f33b0163c414bba"}, @@ -53,7 +55,7 @@ typing-extensions = {version = ">=4.0.1", markers = "python_version < \"3.11\""} [package.extras] colorama = ["colorama (>=0.4.3)"] -d = ["aiohttp (>=3.7.4)", "aiohttp (>=3.7.4,!=3.9.0)"] +d = ["aiohttp (>=3.7.4) ; sys_platform != \"win32\" or implementation_name != \"pypy\"", "aiohttp (>=3.7.4,!=3.9.0) ; sys_platform == \"win32\" and implementation_name == \"pypy\""] jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"] uvloop = ["uvloop (>=0.15.2)"] @@ -63,6 +65,7 @@ version = "0.1.90" description = "Chex: Testing made fun, in JAX!" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "chex-0.1.90-py3-none-any.whl", hash = "sha256:fce3de82588f72d4796e545e574a433aa29229cbdcf792555e41bead24b704ae"}, {file = "chex-0.1.90.tar.gz", hash = "sha256:d3c375aeb6154b08f1cccd2bee4ed83659ee2198a6acf1160d2fe2e4a6c87b5c"}, @@ -83,6 +86,7 @@ version = "8.2.1" description = "Composable command line interface toolkit" optional = false python-versions = ">=3.10" +groups = ["dev"] files = [ {file = "click-8.2.1-py3-none-any.whl", hash = "sha256:61a3265b914e850b85317d0b3109c7f8cd35a670f963866005d6ef1d5175a12b"}, {file = "click-8.2.1.tar.gz", hash = "sha256:27c491cc05d968d271d5a1db13e3b5a184636d9d930f148c50b038f0d0646202"}, @@ -97,6 +101,8 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["dev"] +markers = "sys_platform == \"win32\" or platform_system == \"Windows\"" files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, @@ -108,6 +114,7 @@ version = "7.10.6" description = "Code coverage measurement for Python" optional = false python-versions = ">=3.9" +groups = ["dev"] files = [ {file = "coverage-7.10.6-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:70e7bfbd57126b5554aa482691145f798d7df77489a177a6bef80de78860a356"}, {file = "coverage-7.10.6-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e41be6f0f19da64af13403e52f2dec38bbc2937af54df8ecef10850ff8d35301"}, @@ -203,7 +210,7 @@ files = [ tomli = {version = "*", optional = true, markers = "python_full_version <= \"3.11.0a6\" and extra == \"toml\""} [package.extras] -toml = ["tomli"] +toml = ["tomli ; python_full_version <= \"3.11.0a6\""] [[package]] name = "diffrax" @@ -211,6 +218,7 @@ version = "0.7.0" description = "GPU+autodiff-capable ODE/SDE/CDE solvers written in JAX." optional = false python-versions = "<4.0,>=3.10" +groups = ["main"] files = [ {file = "diffrax-0.7.0-py3-none-any.whl", hash = "sha256:aa9645c40552f11a2d32042ef6b9fcd53c1f0f6bdbe32d37cb788669ca9910be"}, {file = "diffrax-0.7.0.tar.gz", hash = "sha256:f3bcc578cd92a9ca86fc6f5a54c1de76c1ba62f74de69b56002624bf205316f1"}, @@ -231,6 +239,7 @@ version = "0.13.0" description = "Elegant easy-to-use neural networks in JAX." optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "equinox-0.13.0-py3-none-any.whl", hash = "sha256:66720e6f39b4907812e2c5912ca523d698293f6f1d25736362b174f426b02c49"}, {file = "equinox-0.13.0.tar.gz", hash = "sha256:d59615be722373e9d66e0ba78462964e6357fb76a8b1b98c2c6027961b778a69"}, @@ -251,6 +260,7 @@ version = "1.13.0" description = "Collection of common python utils" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "etils-1.13.0-py3-none-any.whl", hash = "sha256:d9cd4f40fbe77ad6613b7348a18132cc511237b6c076dbb89105c0b520a4c6bb"}, {file = "etils-1.13.0.tar.gz", hash = "sha256:a5b60c71f95bcd2d43d4e9fb3dc3879120c1f60472bb5ce19f7a860b1d44f607"}, @@ -259,7 +269,7 @@ files = [ [package.dependencies] fsspec = {version = "*", optional = true, markers = "extra == \"epath\""} importlib_resources = {version = "*", optional = true, markers = "extra == \"epath\""} -typing_extensions = {version = "*", optional = true, markers = "extra == \"epy\""} +typing_extensions = {version = "*", optional = true, markers = "extra == \"epath\" or extra == \"epy\""} zipp = {version = "*", optional = true, markers = "extra == \"epath\""} [package.extras] @@ -288,6 +298,8 @@ version = "1.3.0" description = "Backport of PEP 654 (exception groups)" optional = false python-versions = ">=3.7" +groups = ["dev"] +markers = "python_version == \"3.10\"" files = [ {file = "exceptiongroup-1.3.0-py3-none-any.whl", hash = "sha256:4d111e6e0c13d0644cad6ddaa7ed0261a0b36971f6d23e7ec9b4b9097da78a10"}, {file = "exceptiongroup-1.3.0.tar.gz", hash = "sha256:b241f5885f560bc56a59ee63ca4c6a8bfa46ae4ad651af316d4e81817bb9fd88"}, @@ -305,6 +317,7 @@ version = "2.1.1" description = "execnet: rapid multi-Python deployment" optional = false python-versions = ">=3.8" +groups = ["dev"] files = [ {file = "execnet-2.1.1-py3-none-any.whl", hash = "sha256:26dee51f1b80cebd6d0ca8e74dd8745419761d3bef34163928cbebbdc4749fdc"}, {file = "execnet-2.1.1.tar.gz", hash = "sha256:5189b52c6121c24feae288166ab41b32549c7e2348652736540b9e6e7d4e72e3"}, @@ -319,6 +332,7 @@ version = "0.1.0" description = "Julia-style Artifacts system for Python - TOML-based artifact management with automatic downloading and caching" optional = false python-versions = "<4.0,>=3.9" +groups = ["main"] files = [ {file = "fetch_artifacts-0.1.0-py3-none-any.whl", hash = "sha256:faf5842a60029379ea9286699128d8c6550613fdbac4089604688ca4d717740e"}, {file = "fetch_artifacts-0.1.0.tar.gz", hash = "sha256:8228063b82f5ddedfd4be6b65a37e182c583a03a94ca39729b37e3354fc36c2a"}, @@ -333,6 +347,7 @@ version = "0.10.4" description = "Flax: A neural network library for JAX designed for flexibility" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "flax-0.10.4-py3-none-any.whl", hash = "sha256:8cc83d91654ff943909730e02e858b4cd4577531373f83abe6597c58c581032d"}, {file = "flax-0.10.4.tar.gz", hash = "sha256:57ae44d3f111fc85cff9049adb9684ce8ebd44e87bd8ca776ed52422c2d85021"}, @@ -343,7 +358,7 @@ jax = ">=0.4.27" msgpack = "*" numpy = [ {version = ">=1.26.0", markers = "python_version >= \"3.12\""}, - {version = ">=1.23.2", markers = "python_version >= \"3.11\" and python_version < \"3.12\""}, + {version = ">=1.23.2", markers = "python_version == \"3.11\""}, ] optax = "*" orbax-checkpoint = "*" @@ -357,7 +372,7 @@ typing_extensions = ">=4.2" all = ["matplotlib"] dev = ["pre-commit (>=3.8.0)"] docs = ["Pygments (>=2.6.1)", "dm-haiku", "docutils (==0.16)", "einops", "ipykernel", "ipython_genutils", "ipywidgets (>=8.1.5)", "jupytext (==1.13.8)", "kagglehub (>=0.3.3)", "matplotlib", "ml_collections", "myst_nb", "nbstripout", "recommonmark", "scikit-learn", "sphinx (>=3.3.1)", "sphinx-book-theme", "sphinx-design"] -testing = ["cloudpickle (>=3.0.0)", "clu", "clu (<=0.0.9)", "einops", "gymnasium[accept-rom-license,atari]", "jaxlib", "jaxtyping", "jraph (>=0.0.6dev0)", "ml-collections", "mypy", "opencv-python", "pytest", "pytest-cov", "pytest-custom_exit_code", "pytest-xdist", "pytype", "sentencepiece", "tensorflow (>=2.12.0)", "tensorflow_datasets", "tensorflow_text (>=2.11.0)", "torch", "treescope (>=0.1.1)"] +testing = ["cloudpickle (>=3.0.0)", "clu", "clu (<=0.0.9) ; python_version < \"3.10\"", "einops", "gymnasium[accept-rom-license,atari]", "jaxlib", "jaxtyping", "jraph (>=0.0.6dev0)", "ml-collections", "mypy", "opencv-python", "pytest", "pytest-cov", "pytest-custom_exit_code", "pytest-xdist", "pytype", "sentencepiece", "tensorflow (>=2.12.0)", "tensorflow_datasets", "tensorflow_text (>=2.11.0) ; platform_system != \"Darwin\"", "torch", "treescope (>=0.1.1) ; python_version >= \"3.10\""] [[package]] name = "fsspec" @@ -365,6 +380,7 @@ version = "2025.9.0" description = "File-system specification" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "fsspec-2025.9.0-py3-none-any.whl", hash = "sha256:530dc2a2af60a414a832059574df4a6e10cce927f6f4a78209390fe38955cfb7"}, {file = "fsspec-2025.9.0.tar.gz", hash = "sha256:19fd429483d25d28b65ec68f9f4adc16c17ea2c7c7bf54ec61360d478fb19c19"}, @@ -395,7 +411,7 @@ smb = ["smbprotocol"] ssh = ["paramiko"] test = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "numpy", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "requests"] test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask[dataframe,test]", "moto[server] (>4,<5)", "pytest-timeout", "xarray"] -test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr", "zstandard"] +test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr", "zstandard ; python_version < \"3.14\""] tqdm = ["tqdm"] [[package]] @@ -404,6 +420,7 @@ version = "4.13.0" description = "Python humanize utilities" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "humanize-4.13.0-py3-none-any.whl", hash = "sha256:b810820b31891813b1673e8fec7f1ed3312061eab2f26e3fa192c393d11ed25f"}, {file = 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false python-versions = ">=3.8" +groups = ["dev"] files = [ {file = "iniconfig-2.1.0-py3-none-any.whl", hash = "sha256:9deba5723312380e77435581c6bf4935c94cbfab9b1ed33ef8d238ea168eb760"}, {file = "iniconfig-2.1.0.tar.gz", hash = "sha256:3abbd2e30b36733fee78f9c7f7308f2d0050e88f0087fd25c2645f63c773e1c7"}, @@ -448,6 +467,7 @@ version = "0.3.10" description = "Interpolation and function approximation with JAX" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "interpax-0.3.10-py3-none-any.whl", hash = "sha256:9b3c43cf2ea93d46c5a1c8c98a133b29cc8c3cca7e8a80688c1b1c11f05da307"}, {file = "interpax-0.3.10.tar.gz", hash = "sha256:6bed2812b555ee2bc2917ca833d1a04c9f8870c868c6800bd6b941e0fb2f738e"}, @@ -466,6 +486,7 @@ version = "5.13.2" description = "A Python utility / library to sort Python imports." optional = false python-versions = ">=3.8.0" +groups = ["dev"] files = [ {file = "isort-5.13.2-py3-none-any.whl", hash = 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+markers = {dev = "python_version == \"3.10\""} [[package]] name = "wadler-lindig" @@ -1605,6 +1579,7 @@ version = "0.1.7" description = "A Wadler–Lindig pretty-printer for Python." optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "wadler_lindig-0.1.7-py3-none-any.whl", hash = "sha256:e3ec83835570fd0a9509f969162aeb9c65618f998b1f42918cfc8d45122fe953"}, {file = "wadler_lindig-0.1.7.tar.gz", hash = "sha256:81d14d3fe77d441acf3ebd7f4aefac20c74128bf460e84b512806dccf7b2cd55"}, @@ -1620,13 +1595,14 @@ version = "3.23.0" description = "Backport of pathlib-compatible object wrapper for zip files" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "zipp-3.23.0-py3-none-any.whl", hash = "sha256:071652d6115ed432f5ce1d34c336c0adfd6a884660d1e9712a256d3d3bd4b14e"}, {file = "zipp-3.23.0.tar.gz", hash = "sha256:a07157588a12518c9d4034df3fbbee09c814741a33ff63c05fa29d26a2404166"}, ] [package.extras] -check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"] +check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""] cover = ["pytest-cov"] doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] enabler = ["pytest-enabler (>=2.2)"] @@ -1634,6 +1610,6 @@ test = ["big-O", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more_it type = ["pytest-mypy"] [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = "^3.10" -content-hash = "4033eb40e93538cb3fe68b0195702aad9f3cdded2113dd7786064663617441e0" +content-hash = "83d77b6ea16b5072e7f37615a0f2bf0dd227c708069931573adc04d08fd0e2c8" diff --git a/pyproject.toml b/pyproject.toml index fd70eb6..abd601d 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -9,8 +9,8 @@ packages = [{include = "jaxeffort"}] [tool.poetry.dependencies] python = "^3.10" flax = "^0.10.0" -jax = "^0.4.30" -jaxace = "^0.2.0" +jax = ">=0.4.30" +jaxace = "^0.4.0" numpy = "^2.2.6" fetch-artifacts = "^0.1.0" diff --git a/tests/fixtures/sample_cosmologies.py b/tests/fixtures/sample_cosmologies.py index 416ed0f..f7914a3 100644 --- a/tests/fixtures/sample_cosmologies.py +++ b/tests/fixtures/sample_cosmologies.py @@ -1,12 +1,12 @@ """Sample cosmologies and parameters for testing.""" import jax.numpy as jnp -from jaxace import W0WaCDMCosmology +from jaxace import w0waCDMCosmology def get_test_cosmology(): """Get a standard test cosmology.""" - return W0WaCDMCosmology( + return w0waCDMCosmology( ln10As=3.044, ns=0.9649, h=0.6736, diff --git a/tests/test_background_functions.py b/tests/test_background_functions.py index 8487134..9b9df37 100644 --- a/tests/test_background_functions.py +++ b/tests/test_background_functions.py @@ -11,7 +11,7 @@ import jax.numpy as jnp from jaxeffort import ( - W0WaCDMCosmology, + w0waCDMCosmology, E_z, D_z, f_z, D_f_z, r_z, dA_z, dL_z, E_a, dlogEdloga, Ωm_a, a_z, @@ -31,8 +31,8 @@ def test_scale_factor(self): assert np.isclose(a_z(3.0), 0.25) def test_cosmology_struct_creation(self): - """Test W0WaCDMCosmology structure creation.""" - cosmo = W0WaCDMCosmology( + """Test w0waCDMCosmology structure creation.""" + cosmo = w0waCDMCosmology( ln10As=3.044, ns=0.9649, h=0.6736, From 90e7eb7b428f4c4fb5c0667878999a85c0040e23 Mon Sep 17 00:00:00 2001 From: marcobonici Date: Wed, 3 Dec 2025 00:26:24 -0500 Subject: [PATCH 5/5] Updating jaxeffort --- .github/workflows/tests.yml | 2 +- docs/api.md | 2 +- docs/contributing.md | 2 +- docs/index.md | 2 +- docs/usage_examples.md | 4 ++-- generate_doc_plots.py | 6 +++--- notebooks/jaxeffort_example_marimo.py | 2 +- 7 files changed, 10 insertions(+), 10 deletions(-) diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml index 2c9bf3f..bd956aa 100644 --- a/.github/workflows/tests.yml +++ b/.github/workflows/tests.yml @@ -152,6 +152,6 @@ jobs: - name: Test imports run: | poetry run python -c "import jaxeffort; print('✓ jaxeffort import successful')" - poetry run python -c "from jaxeffort import W0WaCDMCosmology, E_z, D_z, f_z; print('✓ background functions import successful')" + poetry run python -c "from jaxeffort import w0waCDMCosmology, E_z, D_z, f_z; print('✓ background functions import successful')" poetry run python -c "from jaxeffort import MultipoleEmulators; print('✓ emulator classes import successful')" poetry run python -c "from jaxeffort import load_multipole_emulator; print('✓ loader functions import successful')" diff --git a/docs/api.md b/docs/api.md index e495eac..053c28c 100644 --- a/docs/api.md +++ b/docs/api.md @@ -21,7 +21,7 @@ Extension of MultipoleEmulators with stochastic noise terms. ## Cosmology Classes -### W0WaCDMCosmology +### w0waCDMCosmology w₀wₐCDM cosmology with massive neutrinos support. diff --git a/docs/contributing.md b/docs/contributing.md index cd3188e..f21016d 100644 --- a/docs/contributing.md +++ b/docs/contributing.md @@ -130,7 +130,7 @@ def test_multipole_emulator_loading(): def test_invalid_parameters(): """Test handling of invalid parameters.""" with pytest.raises(ValueError): - jaxeffort.W0WaCDMCosmology(h=-0.5) # Invalid Hubble parameter + jaxeffort.w0waCDMCosmology(h=-0.5) # Invalid Hubble parameter ``` ## Reporting Issues diff --git a/docs/index.md b/docs/index.md index 4479c19..9aa18c9 100644 --- a/docs/index.md +++ b/docs/index.md @@ -46,7 +46,7 @@ cosmo_params = jnp.array([z, ln10As, ns, H0, ombh2, omch2, Mnu, w0, wa]) bias_params = jnp.array([b1, b2, b3, b4, b5, b6, b7, f]) # Compute growth factor -cosmo = jaxeffort.W0WaCDMCosmology(...) +cosmo = jaxeffort.w0waCDMCosmology(...) D = cosmo.D_z(z) # Get multipoles diff --git a/docs/usage_examples.md b/docs/usage_examples.md index f1ee131..f6361e7 100644 --- a/docs/usage_examples.md +++ b/docs/usage_examples.md @@ -47,7 +47,7 @@ bias_params = jnp.array([ ]) # Setup cosmology for growth factor calculation -cosmo = jaxeffort.W0WaCDMCosmology( +cosmo = jaxeffort.w0waCDMCosmology( ln10As=cosmo_params[1], ns=cosmo_params[2], h=cosmo_params[3]/100, @@ -190,7 +190,7 @@ cosmo_lcdm = jaxeffort.LCDMCosmology( ) # w0waCDM cosmology -cosmo_w0wa = jaxeffort.W0WaCDMCosmology( +cosmo_w0wa = jaxeffort.w0waCDMCosmology( ln10As=3.1, ns=0.96, h=0.67, diff --git a/generate_doc_plots.py b/generate_doc_plots.py index 4fbc5a4..942e747 100644 --- a/generate_doc_plots.py +++ b/generate_doc_plots.py @@ -66,7 +66,7 @@ def generate_multipoles_plot(): b = jnp.ones(8) # Compute D(z) using cosmology - cosmo = jaxeffort.W0WaCDMCosmology( + cosmo = jaxeffort.w0waCDMCosmology( ln10As=theta[1], ns=theta[2], h=theta[3]/100, @@ -161,7 +161,7 @@ def generate_jacobian_multipoles_plot(): b = jnp.ones(8) # Compute D(z) - cosmo = jaxeffort.W0WaCDMCosmology( + cosmo = jaxeffort.w0waCDMCosmology( ln10As=theta[1], ns=theta[2], h=theta[3]/100, @@ -254,7 +254,7 @@ def generate_comparison_plot(): b = jnp.ones(8) # Compute D(z) - cosmo = jaxeffort.W0WaCDMCosmology( + cosmo = jaxeffort.w0waCDMCosmology( ln10As=theta[1], ns=theta[2], h=theta[3]/100, diff --git a/notebooks/jaxeffort_example_marimo.py b/notebooks/jaxeffort_example_marimo.py index 2193ba8..96fe4c8 100644 --- a/notebooks/jaxeffort_example_marimo.py +++ b/notebooks/jaxeffort_example_marimo.py @@ -124,7 +124,7 @@ def __(np, jaxeffort): "z": 1.2, } - cosmo = jaxeffort.W0WaCDMCosmology( + cosmo = jaxeffort.w0waCDMCosmology( ln10As=cosmo_dict["ln10As"], ns=cosmo_dict["ns"], h=cosmo_dict["H0"]/100,