diff --git a/.gitignore b/.gitignore index 1fb8721..c5d7d60 100644 --- a/.gitignore +++ b/.gitignore @@ -1,6 +1,9 @@ .ipynb_checkpoints *.zip -*.npy +# *.npy .DS_Store dvlp_notebooks -notebooks/runs/vols/ \ No newline at end of file +outputs/ + +# GIT ignore .code-workspace +*.code-workspace diff --git a/data/phantom.npy b/data/phantom.npy new file mode 100644 index 0000000..7c9c209 Binary files /dev/null and b/data/phantom.npy differ diff --git a/data/tilt_angles_1_deg_tilt_axis.npy b/data/tilt_angles_1_deg_tilt_axis.npy new file mode 100644 index 0000000..fa9d506 Binary files /dev/null and b/data/tilt_angles_1_deg_tilt_axis.npy differ diff --git a/data/tilt_series_1_deg_tilt_axis.npy b/data/tilt_series_1_deg_tilt_axis.npy new file mode 100644 index 0000000..69f0db0 Binary files /dev/null and b/data/tilt_series_1_deg_tilt_axis.npy differ diff --git a/notebooks/tomography/runs/logs/auxiliary_params.pt b/notebooks/tomography/runs/logs/auxiliary_params.pt deleted file mode 100644 index a67563f..0000000 Binary files a/notebooks/tomography/runs/logs/auxiliary_params.pt and /dev/null differ diff --git a/notebooks/tomography/runs/logs/events.out.tfevents.1765006677.mallard.2288855.1 b/notebooks/tomography/runs/logs/events.out.tfevents.1765006677.mallard.2288855.1 deleted file mode 100644 index eea5018..0000000 Binary files a/notebooks/tomography/runs/logs/events.out.tfevents.1765006677.mallard.2288855.1 and /dev/null differ diff --git a/notebooks/tomography/tomo_01.ipynb b/notebooks/tomography/tomo_01.ipynb deleted file mode 100644 index d781133..0000000 --- a/notebooks/tomography/tomo_01.ipynb +++ /dev/null @@ -1,829 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 6, - "id": "fd335434", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The autoreload extension is already loaded. To reload it, use:\n", - " %reload_ext autoreload\n" - ] - } - ], - "source": [ - "%load_ext autoreload\n", - "%autoreload 2" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "76ab8f6f", - "metadata": {}, - "outputs": [], - "source": [ - "import torch\n", - "import numpy as np\n", - "\n", - "from quantem.core.visualization import show_2d\n", - "from quantem.tomography.utils import rot_ZXZ\n", - "\n", - "from quantem.tomography.tomography import Tomography\n", - "from quantem.core.ml.inr import HSiren\n", - "from quantem.tomography.object_models import ObjectINN" - ] - }, - { - "cell_type": "markdown", - "id": "588b65f4", - "metadata": {}, - "source": [ - "# Loading Phantom Volume\n", - "Cedric Lim, *12/5/2025*\n", - "\n", - "**Note: Requires the tomography branch (TEMP)**\n", - "\n", - "Loading the phantom volume" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "15a636d9", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(
,\n", - " array([, , ], dtype=object))" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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OsesDJFk2R/gyDSiZxoyGSPdnmry+Om+10izMmtlu3HmR79PeQZLvNCHPD1sHNMNyhyvXuA2STHdmWKVtZ1fi31uul07tEYBuZjtR22ob9OyhCidFURRFURRFURRFURRloajCSQHQzRaUufQuAMBZp88SJQWAiLMCBcfUI93r1QSkZ4yYJDpB86fvzV6mSMWosoxTP6Udu0QcRimekpFxUTzJzxArAfxGX9YnALBWWOkUR6A4S8VT2q9mMFIUZR5ELeuuvEqf11/t+gByPSSKJvFpCk4ouimq2bRMp8KAP9OIdmccZ9mWJNuDkW1H4nMy21B3G10/v9jnSZRhPf5OQFfxJKoyM1uGVeRsUpxFyjv4CIAqXhXleUeeRaU+T2acE5+ePm+fpKJpmC9TSp09zzvC4pSry6uuGZalLskk56L7PjF4vEn1U9q7SJrqCRj0e4q9nrKVoT5Psg07kdnOr91b6t9DmRztcHrOyay8QdPNrwAYHOoghPX9VFNwYLCjKZrgwf9Zl8D2Mqz8ozqihg27m+TlJPlSEnp1gDsJzdhYfLVv6uAl3o+YObrx8ApFUZRJkTbFXX8LQH/wQoysoyAAAIQn1KYE3LakDZsb1bHUu+wolqkNGVeWfoPY9GMfGGrdM/QumUyid7gdAFg8lM7I84tioRoPuY7Nx7PcPuxSx6C2BYry/NDbyTSug0k6E4Qo9OMOpqB5yPMmf0cYPwxstrr8Wem0mOY4xnVOTRIoH7W/YebjcUcUdyxKQNvKVYcPu+PrKTYab/F1l13r63waVyZledEhdYqiKIqiKIqiKIqiKMpCUYXTc0xm5Y1Y2SRRaBnqIATHTwAAYX130BT8lMz9TjsaPUvv+KQy1unK0T3OSYfdjTL3iz8nvo9Cd9BQnKdWmVJkx0onq18KDWh0W1GU4UidlF1/BwCQ2fwyAMCq0hCM3uFzsRk4tyvJoRYDqllgakXTNO3HeUZKh7UpaeUfNwyvd+hdMplEUvEE+dwkxZNZ3hwwFnd5uJ2Vq9J8TnPe2v0B718jzIryrJA0ArcLlwGQqilWNHFdMNQA3OvW5ZFP9fy4d4JJ1DOToPVROpOel7S2aNzIjN5tDxt+Fy8ry/k1GA63NUlj+aTiSdqe7Eqf2gkAOvWHNFWD8QuFKpwURVEURVEURVEURVGUhaIKp+eQXt+mpLJJIswSgRbfh9CrjxyHnfaZ5k3W8zyvqmmwh32xPd7jtte731nUUMPMwUeVYxJfJ4Ci30lD8RjxdGKlk1wHcl30okonRVEEiYZnN38KAOCsvQKgW5eIakb8moLDR31m4EBX2SRMknhi3Pz+ZZY38jlpm0LLjos296hlk/tJfBZfFTNWk/ldY3FWOJmFKi1s0SNiVqLP7OPSevIHcXRZUZSLSVfRdIWmnKq+16cpzaMJ6NbhgRhGz+jPNH2Ch9Ot0wc8A5cU8UVaBKMSFw0uO1yBO9kIln2asgoOLfZ34muum8iIlHRWYWPQ34nbIatG3rSd+gOaapu01KjCSVEURVEURVEURVEURVkoqnB6jnArpFrp9W1KKpuCw/v0ORGBjkJvYmXTafs0jR73fT4R7bTxzEmmUT5Nongal8muN/qdzGCXDOJI1MqqXqV1s6UBlZNEfryjTyc+DkVRnj2c4jVkNr9K/6+9DKDrByeZ6NL8msZlOBXS1bLjvJtOOfI9RZrpxexvfNQ5rZ0Y5u+UzGgnp94IvFjpKu1+UqUm2UsRT120n3wXQDdzkKIoy43pkpLRiRVN5NUkWSnFs61X1TSpoqlf2ZReF5+nKvWiKJcmZZLjmUcFtQgFbto2h72nBLKNFMXTsIx24gfVVTw9hM9qp9A7mqhMytmhCidFURRFURRFURRFURRloajC6TkgVjZdehcAYK/cAEAqlqSyKWR/h7QI9FllnJhkexeReZRP0yie0iIIAxnseNoX5e7Bql6N1W9yvWT4mhBU6aQozxfSlmS3v971/8tzJNKyAABh/RAAEJw8BpDIXpSMyg5RzQqj2o152ofTyoQ6y3anUUUNU7Wm7T/N3wkYbAOi0Ivb+15fJwBAaYvms6eTVSVlhOnmYTocZX70bQDaHijKMtKbgc4p3wIAmDlWNA3xzelVNU2iaKLPs/kzLeI5/1lTLy2KSc/LLEqoND/ZwWXSFLij1W9piqeB61QUT6y47Wa8K8LKrQMA/OPbADST3TKhCidFURRFURRFURRFURRloajC6RlGMlC4628B6GYeMwsU3YgCfyJlE80fVDgJi1Q2PUu90NLTbrrFvvlyTkLvpG8KTO7zFAXe2Ex2o7LYJaPcglwHQNfPSa4XB3T9yLURescANDOEojzr9GY2Bdj/j5VNQnBIGWPC+i5N0/yaxqpkF6toOi0l0yIZl4Fu9LrDFU/DVLFJtSswQvEqv53fBNDNYmfkVwY8/iRKrtlMFeX8SctAF2efE68mVjQJvVmpAcokNo2iKW25SdaZBlUzLZ60czqN6mnS0RvpCtzxiidROxkevUt1s9aRJ5khUzePkJW38t6lmeyWB+1wegYRY8Buumoyde3taALIzHWgo0lSVTLDGhuaN7sx4LhtXFQMKwO7QkPQ7DI19FaBOp7gZGnqtwAAAb+YdQ5uo8OV4rghE72MG2aX7HhKXWdgPlXSYfMwfhiJDWSl44mvJ3l5bDz8HVpHTfoU5ZlCOpqyl78OALDXXgBAQ6yiIAAABIf0IBclX1ZmGJadZJr24SJ0Lk3DqPTTw9cZPsxh1PkZGoDg37K7DUkucQVmido1x7RTy6YdT4pydvQOnQMQD5+zCjQs1spV+8zAAUrkAACBvAfw8/+ijMDnGvZ8gTqW5n2PmSah0Fkx7PzP0xE1WUBk+NBMCYTIdSrtU6/ZvVXYADBoLG66pb4y6FC7s0eH1CmKoiiKoiiKoiiKoigLRRVOzxDSc5td/zIAwFl7BUA3XbUgaarD1tFUyqZxPcEXQdkUhd5sBnnc2z9uXbtyA5ltOv/mBpuzV0kZBIflyy1SOJknpAiwSluwDym1dKf+dOR+0tQC3emwCNRg1HtodCG+DoqxvFqwVmiIXXw98bWT9Wid5pNva7RAUZ4BRimbACDy2wgOeDg21xPxUGGfVTEj1EyzDM8eXPZ8IuBpZTyrCPUkySO6y05mMJ6aVELalLB/+4Ykjgj8uD2Qa8IGXSPZRDlU6aQop4eMaHB46JxTuQkAsAr0nNZrCN5rBg5grCH4LEbg0z4DnreSKW0kwLhlT6sMSaYp05m1QXMMv5tGgTtuyB1B7x4dLpOVXRlrLC5D7cyjOwAAv/5AR2ecEapwUhRFURRFURRFURRFURaKKpyeIbLr7wAA3M23AXS9d4SgR9kEpKepntYgMG3ZUZxahGCIAimtN36eiEpyXdmfGIQ71Zuwtl6kL7e3AQBhiXryg4zEj8sAANOnscZW7QasJzu0/iFNxR9lgLBD33vN2Mg1/j15HH7IUavQk/H4aRH5pN9Tf0rSKPQwcJqOKVIgCie5vtzw7Xg/zSffTi+3oihLzyTKJgAIDu4PGswmEk0Ii1I2nYaiaVHt0SzbWUREehbFU1pkecBQXLYjqjXZviicAIDFEap0UpTzwSleg124DACwivS8aRfY2D/Fr2kSryb63O75f7GKJuDsVE2j1D/Jci+jOn86xe/4Yz0tFdSw96KR60yowKXv0tVOyfYqCLzYWLzX1wnoMRZnxRN4HdMtoVN/CADwa/fGlluZHVU4KYqiKIqiKIqiKIqiKAtFFU7PCG7lJbjrFJ22SpSVQnpyw/o+TxPpqnvSVE+jbFoGRVO8/aRC64zHg8v+zBz5NJnlTWCdlEv+OsV4vRLFh9t5ig4HTr96yfItZK9QlCr3lH47s8WRZCvRJ+x3ulP2gkKDf886Kw5O6HcOjiXzXTcq3Tuen8rPGQsT6igE3kCq7HgbMiaas9bJ9eauv4GgtUfHfPQpFEW5GLgVSnGf2fwKgNHKJoBUlcOUTZNkopu0XZhX1bSMUWthXNlmiUanRYXH7dewMmPPczKLXV+bMEbplIn9oDxtFxRlDqROcIrXaFq+GXs1maLoSDzb9fk1TejVtKjMc+flz3QR1EunxejRKGfj9zRLhrtpMtqNZtDXCcCAt5NkETedwkAGO1E6PU/XzVmgCidFURRFURRFURRFURRloajC6YJj52i8dubSu7BXrgMADDcHgHx+gCHKJiA105kwj7LptH2alhHpuTdL6whXKRtCc5WUTPUKRZjaOVIk+RmaBk5XeWT5FJXKb5O/U7ZBPe2hlVRD0S3rtLJwG7Ss3aC4s3XU5ukxL/t6d0XTomnI22OPKFEuRCekguvs3abp8YNuNIw3Iaff4OvJcOg6k+vNXrmOjPcuL0tl6DSfQlGU5cUpXkN2mzybnEuvARitbAIS/n8LVDbNo2h61qKR82bDm9TfKQraIzPY9X2W7zGofB2mdJJrSvYFqFeGokzDqEx0A6p1nxVNKX5N457z51Gjxsuf0nN6mjrnWavzz4pJsuKdhhqq99oY5/M0SUa7NG+nNF8nAEO9ncxcNV42nnLZ/PoDANAsdgtCFU6KoiiKoiiKoiiKoijKQlGF0wVFenwz618CANgrN2BkaRyqePYEhxRFHOW1MWk2utPIEDSOZVY0CXGWuiL5NhlrG2jSkGGcrFBkqV49BAB4hRMAQJCl3wNOi7cRAgYpjhoBZ1DoOOn7C3h/rTycJimp8iekdMof0efsyUbfOoETweQ0Q5Zv8vr02T6ia8U8ID8m2+QqIfDhH3xO++TtdJVOXH6+vqy1W7RctgR75QYAINOi6zJ4+Nu0rkaiFGWpiNWxm1+Fs04eTpMom4B0/z9hlkx0s7Qvz2OdMi6zz+h1ExnoUrY7jdJpmMffUKXT+ksI/Xrf/lQBqyjDkTraZmWTXbnBnwcz0UkdHfT4cAL9fk3TeDXR9xNkDz1r39TnsN4/K87y3E6T2W5c+zQZ6d5OZrYyNIOd7K/DSidtr+ZDFU6KoiiKoiiKoiiKoijKQlGF0wUls0IZ6Zz1VwF0M4YBQHDIUWmORktUcVRGunmUTYvsFb8Iqiag2xsfj6WvUjQXlRLqqyQfOt7YAQB4K48BAHaOfI1KGZo6Jh2ra3qwjH6vJi9kJdOQ+X7oou2Tomm/TWOTD044a5yX7VvHbmfheJzdpE3T3An5LuXy/Nnh3n6PFE9W4wCdOvXmRx5FBkTpFCZPBl9v9tqt+DqU6zLTpKx1rd3vJ9dSFOUckKhddvOnAADupTdg5On+j9jbbaSyCejz/xMmVcumLTsJGtkeZBbF0yhvp2HbS1M6jcxcB3SVTms3ad38CtxL9NwizyL1e7+eul9FeZ4RZZNTJvW4XSZlU9J/Jgr9boZhUQ96Xc+mXtJ8bpKcRwa6pHpF64LlYpTf0yJ9nuR6mjWTHX3vpfo6yXe0Dns79cw3E/dVrCA0+72dBFU6zYZ2OF0wJB2qu04PbpKS3rAcBMdPAHTToMrQumFDH2je+XY0XZQOpiTS0eRcehMAYK2R5NlfcXGweRcA0NmiIWlbpS8AAFeyDwEAaxY9idvcmdSJLHRApt6tMNP3nW10+vYr37ejDOoBVY4nHRpKeVwkWWgY0bbaHnVItfwcWk1axm7Q1M/wshZNzZA6oLJH1HllZEtxZSsvFAPGsfK9pN09fgKrTCl65bqU6zRokdG4msUqyvmS2xSDcKq7zNKl+LvgkE0yR3Q0AclghXY0LQtpBuDj1/FSh9nJ9oD0jqc0I3EgpeOJrymreiW+1pyArr0cvxw3Hn5rqjIryrOIPN93O5roc/xCLMbgIdtm1Hb6TMH7p4s1BD/tZ3Wt5y8WZ5UcatoOqImfMbjtCQMvfleOrVG448niIXZGPM3EU32XmR4dUqcoiqIoiqIoiqIoiqIsFFU4XRCkZ9VdoaFKYs4sKekjr4mQ09Uno9KTmrqO+667zHOsbCrfpOnaKwAA+8rr9MVVUjgdXm2ideUTAMAbazSM7N3sewCA6yAZZjGiIXcB9/d6po0DkLKoZtHvabPg00b/kLoWR6LbkYuWQ/8fhqRaOgrIPFxUUI0c9dIfeRXUMjRkxsvwMEubevSNgNRQTpuqgkx+MDo+zDgWFk17f0ozS2WQ61KuU7dO161IUTWapShniwzDdjffBoBYjWhYFoLDRwAwtA2ZV9mUtvzoZc+vfhjXNqVFXGdZ57SYZ5jdNEqnNCNxYLjSybAcWNVtAN1rT67FoEnXXfvg/bFlVZRnEbfyUvx8aRXo/hhQNvmsJudhdJFfO1Vl02k9p+vz37PFPMksxm675xoc146mKXwH31/Srj1SOwU0GRi6KvehdJgYlhvvxzv6dJLDUKAKJ0VRFEVRFEVRFEVRFGXBqMLpgpA0CTeypGqRsafByeNuhCMRlRZmMREctvykXFQlUxIruwYAcFZeAADY2/w7XCZl0/GLpBR6/NIHuLb6MQDg57J/AAB4q0MGvBWP1ErZQGLAxIlrYsWmyFXLpFsyGNIXHBisijJstEFRryOLvJqOTFJJiR+UKJ/2rBXsWk0AwK5Blt/tkD2jWtSD366xCWW2m2ZXvAHiz8kouFxv8fcOghMySBcTdblO1URcUc4H8QXJbH4FQM+96VCELjzZjZVNw9qQUSrZRSibzjrinWZQOmlbNUubFoXeQHR2EpPURTBN9HkapdMw5WtS6RQF1E6F9d3YC8MsrQPoXotybYb+CQD1+lOeH9zKSwBIPS+eTYZLz2FJZZMkcpF6OfS6z2jLqGxSJdPzySij8bm2O4Wx+DRKJ/lO3ro6vJ/YPDyhdEprH1XpNB5VOCmKoiiKoiiKoiiKoigLRRVOS06cHnXlZQD9WekAxJnpwuZhnBY1GZWe1msjjec5UmGYbpyW1r5E3k3GJimb2leo5/vxLcpMV778E/x0/nsAgFcC8kVZbZOyaYVERsi1qZ8341Ms2LeBepZ+o4McTU+cYQonXsc00TLo9q0a9Lsf8lSUTwVWNWUNL856JzzhqLOf56x12RX+pkfhlPAESGYqis8PT8PeeZLlIZG1Tq7jTv2BphZVlFNE7tfM5lcBAM46RdLNLCkhwxb7FtR3Y8+mYW2IMImyaZm8mpIR0WTk/iwVuMP2NayMp6V8miSV9UAdn4jo9npljFM69bYLYCUdnCyA7rUo16Zcf+r1pzzr9CqbAMpIl1Q2SbbQoEWZjSOvPyMd/d8emNfLJPfQIurBfvWj3rfKIP3txvh2aOh2JshkN0zZm3afyHeiGJS2THKEW/x+ZGYpqzfcfKxGTKJKp+GowklRFEVRFEVRFEVRFEVZKKpwWnLcldcApGelA9DjveEPjUoLaVGHcdHoeSIVz4x/U249Pv/mKmXZCbarAIDd6xSBijPTFT7Da8YXAICNNh3/pRrFetcOyTepcET9vE6LXC4i00C7QP9XV0iJtF+iuHDD7fd7Cjhs7JsGWjb1v7dN2p5r0ro1k5UNIH8v2wziO10y2NU5snyYo6xyHVv68hnThuHSMvDIV2Ps2GgAEUca5LocnrXuNVU4Kcopkl1/BwDgrJGq0MhTlC7y6T4ODslbLmwexl6Akyib6PP0bcm49eelVxl0nkqmWUkr82mqnqaJMKd5Ow1Tvg71dDJdhJxdSzDWbtGUr025VrM1Ugc3n3x78gNSlAtAmrIJ6FFPYLyyaRL/1dNWNg1/Hnz21E3nfUyLzPp23gxXRs+veJrH2ykVvu+CxGwzW4HB9+uwThRVOg2iCidFURRFURRFURRFURRloajCaUmRzELOyosAALOw2ve9ZAMbyCrUw3j10vDvn1VlU+8Y4nFIb7ldvgarSp5N2CRPrfomKZAOtx8AACpF8tK6Yj/GSkAZRSptUietHLHX0hOK9bpPWrQtj90tLANOicbsZ+q0bHaDvjsp0LSepWkoCicrirPdtSyaOjb9Zo5F/fGW1XXP6JikrqrZ5BFw4pJ303GmkX7s2QLsMh1z2NwHMDwLSl/UO5QIHHuM8XVqcyRbrmNn5UU4x7fpWDQjkaIsDImgZza/DKDroyaI71/k0b0fBf5wf6ElVjYNi2ouc/szLZP6Ps21jynaxFmUTvFyPcci155ci9K+yrUq127Q2tNIsfJMsGhlU+/8/nln49k0zf6WkVHlTtaHSd+hsyKtXh5Xhoumhlr0M8G4NjFN6TQqgx2AVKWT3LemKp0mRhVOiqIoiqIoiqIoiqIoykJRhdOSkll/GwBglckzSLLShXVWm3CEsDer0KRZ6aaJSE/DRYgsT5NBw8qu0bSwAXONsqx1Vim7zv7WDgAgWH0IAFjJ0O9SMWtwO9QPnveoP7dwwh5LO9yzfix+KezPZBlxz69jkoSpAlIkWR367LDFks93bMeK0HZE2cTTkPZrJn2fLBNFkOdX0aTrJs/TjEs9940qlb+2TQqk8v5VWCfsw3RASqSgKdlQhmetS2YmkoiBXLeicLLK2/E1rgonRVkMhpWBu/4WAMCqUgTdcDgDC9/PEUfRJTNdFHozZTadth05rejwRWh3FsVpHeu0/hlR4KVmruvdRlo2U2mZ5DDkuSZqkPLWLK0D6F67bv2tuH24qEoK5fkmHq0wQtkEkLrpNJVNs9Ydg/f1xbkP08oqxzHqeJblGKcpxyReWhdB/ZR2vU1T7kky2KXth+YtXukUBW19x2G0w2kJyay8AXulfwiSmLqKGbO8LPS+KEzykjCOmdZZogf+Yakw0+YNO1b53ipSZ59Z3gQqVJk01qmqqa9Sh1M2ewwAKFs0zaJ7LsSH223yDJ+7YbijKeKpAcDg74w2bd/mHqg8D4UL2Rjc5k6mjg3Y7CDu8Dwzkm4eHn7nUgF8o42GScP41sxDWoRPS8GijqfPbCrkXZeWu2a9gar/Jm2fO4uCu9/qO08TdTzxdWrwdWtkaSifWViNr/HM0RsAgPbB+1AUZXay6+90TcL5XotNwhNtR1xvp7Qdi2Teh/dlal+WjbRzM88wu3mMW8dv2+saiPM0fo5JtA8yddZeVgNx5UIiHU3uyqsAuh1NhpvvW653GN0ydTRNu5/zZNyzfL/J+vIexzxMMkRw3HlaJhb1O40bfp7WoTVJx1OakTjQvb/lfu/lee940iF1iqIoiqIoiqIoiqIoykJRhdMSIb2szuorsArrfd+FbK45EJ1OYXjaydkMBofu55wjz71lHyaTneX4pCfcylKqZrO0jqiUAwDUK6QI6lRI4bQuQ+msEwCAjQCBQf24HZuVRt3xcjR1aWr0mIbH+2alk2mKeomWzbTos8mu4XYQwQwpTtz1BqdlQ4Nm+KZMPVQNum4yBinlqiZF0qoOlbtQouP6/jYpqu4BcFo05K1w8g4dz8Fdmh7f7Ttfo6Lico3ESicxiV25Gl/jzuorAADv+LO+7SmKMhlxNH39jUGT8IP7APpNwumLweFzk6pkJ1FE6X18cZlE6TTUHHyEiXj8vyzLbW1sIs7XqrV2k6blTbjrpIDt1Gn4+vMeJVaWHzt3CU6ZFNxWgepjUT4YJttjpBiET6NsSluu77sZns8vwvC5SZ7705Z9nplU2ZR2bpeBYdflLEPt0pROw7Y3UumUMrwO6Bkqy/e7VdiEk7ivO82nE5f7WUIVToqiKIqiKIqiKIqiKMpCUYXTEuGWXwQA2OUrXf8Nj7x1JBoyKjotDOvt7/bSegPLJpkkMjCLV8QiVVGjercnMdAbt248JrdQglch5U+jzEqmDCl2ijZ9rprk4WQjgM8Kp4ZLCqN2gZRIbpFuN4uVSYaV7BtH10g87J9avvQNs19TaMAI+1dl4RQyrJjyLVq2FYZYYdPwnOnzsuTvZBlcBjo8PM1RhPmTlSoevkT+YS89uUrrPHydilh/TCWZwEg4GcmW69j01uJr3C5TSmy5/tXLSVGmQwz47ZXrXZPw+iEAIPI5wcQIdeyyKJvOWzX7LDDsHM7UXi9Y6TSwTKyA5TKKiXiL2lWzUIW9ch0AkKlrkgllubFzlwAATvlW1xw8VwUwWtkEiA/raGXTJHXrPMqmafZzVqT5ss4zgkHpMspYfBI/3LNm2HW6aKWTkKbSHVhujNLJzFXjjpbk9p83pZMqnBRFURRFURRFURRFUZSFogqnJaDXuwkArNJW/F1Y3wPQk7ViRPTCdIt9yw5GHGX++N7gKJg9083o7Z5tBDv0TyZe1sqSp5B4RthXKEtbdHULR9ukEGqskHdTziW1gGR5yxp0XHm0YEakLGrz3VUrkRQpUycZUYaVSeLTBD/sKpuGwIIkoC/PD/0fcbdxaNI2Mr7B+6fP2U4E2CKHog0F3NfsmdTjXjGol/6SQ9mCHmQPUa+QP1VtmxRIxVVSOpn36ToLmoPRhqGKuVAUeRzlq+/Bcml7cr2rl5OiTEdmhesqzvho5Fe6WelOSImYlpUO6M2E1OvhpMqmZ5Vx2XpGrrsgpdNQBSxP46x1fO0abg5GnrwUNaupsqyYLqdEL9Czkl2+MaBsEqVpmrKJpr2Z1M5G2bSMDFeZqKrpLBh3/pPzLyqTtIej/QgHM9cBXaWTqHUNJx/XBXZwo287IW8j9I7mOJKLgyqcFEVRFEVRFEVRFEVRlIWiCqclQLxrnOpNABTVm9S7qd+PiXpqzezqyP2dWiTkjNRLk0Tbg+bexNuzC5cBAM7KSwCAzK2fBgAYL7wAADi8FeJgk8baRmVSOFVdUv8UTIpaZVjhlEEHbkR93D4rmJosafJz1L9reyJJIsWTCQAOHxv7L0WcnS6yJTsdF7ZP6URx4ZD3Y/O6Nt/VTsCZ7sIIIXe7h7yOw95NucjrK794URXsGk7cFgDAy3OvfpazrDispKs9os9W2ljo8V5OprdG37mUAVCuf/VyUpTRSMTNXX8LAGBVr/J8C53DBwAwUVa6cWg2OqWXeZROI5eVz8msdcdPYK+Rh5Nc43LNqxJWOW/i0QmibKqQgsHKVQeUTZ06P0NOoWyahHme55fh3hlXpyxDGZ9nRmZCnMFD6TSYpxxR6E2t+u31IxymdJJXNbtwCYbDGetY6RSFN/rW9YJW+raeMVThpCiKoiiKoiiKoiiKoiwUVTidI0nvJrOwFn8n/htJ76ZREZA4WshqGau4sdgCj0Mi6Tx2Nf48J9EU2+kcT57BxnQoS5oom5xtipwaN+hza5t6sGsrB/AK5AXluJztjb2bqhZnreORuxZCsJVS18uJT0ej0J9xzuXUcJHdzTgnfkyxwok/G5ytzhTfphAwQlE/dTPX8dq8f/pkRd3/h2GDCmAbPbkWjJQsehiMqKWNax7MEsjrWF0vJ7nG7TXy5pDrX72cFGU0Xe8mipQZDqkEw1YNEatiR2WlAybzbhrFIu7LZ8V35CIxj5dTvI0Rfn2TrDPU7ykla13YooixXONyzcs90Nr9/gxHoCjz4xQpE51TuQmA1AwA+bZEIT23Bs1DWniMwjRt/rg6dtb687yfqdIzHOtz3kWiX5m3HP5Os7RLwPg2Me29ZqxXMk+D5iGsHj8noFtPIPF+7x19OnXZLxLa4XSOyNAhSQsvQ4sirxlLykOfTTQHTAQnb2hEir7UBJ3xywjh4LKdgy+m3qVdpKF08gBrbVHHR7haAAC0SvTA4GfaCHl4mWvSPOmYsVk4mcXw3yPkTqN6njp1pPMncHjIW9OKh8xJx5KQ7IhKzk/DElNynjoBEA+/4xVbFn0ODNpwm8f0tSKqUL3QheFn6dhqLB1t0HC7sLk/fOcJBiplMcvrmSfDR+X6l/tBh9YpSj9iTiuJDcxC//Dp8PjJVCbh9Dnt4X90+zLvy8FF7Gia5JjPe2jBNMzb8TR+KMzgA/kwE1YhzUTcOH4CALDWbgLoXvNyD3jHn/Oyz4fxqnL+2Dl6YXTKNwEAVmETQPeFMgp9hNzRFPn9Q+iErgn26XY09Zv2n0+nzqRG1MrFZhkMxgfbmMmH283T8SQMtm01hE16v4oTCcgQO643HHkv8ugdq9N8OrasFxEdUqcoiqIoiqIoiqIoiqIsFFU4nSMiw7UK633zg5PHKdGQ8dHpcSad1sb1yQtnWZMvOwlB+vCsAcLhy0UpKqhw5+7URZEeaMMl8+tYJVCiIXZBhuKsgU1lCc0QkTm6/DaGfx+PdGM6rC7y3W48127T/1aHpqJ0SiqbhGHzAcDmbRRbtJAVRfAtGXZHU8+ic1k3adoyePhgSD3vTb+I7BENccs/YjXUHg1XDL2T9DKlGOkNjWRbbjwvObRO7ge5P1ThpChEZuU1AF1VppmlOiysHwIgg9rkEORFmoQvWtkkkcTzVjxNIsWfN0q7LAarSWYxTe1bfwal0/Bt9S8bBX5suhy1qN0xC1UAvUPr6J5oPvn2LMVXlIkRhalTlmcVVja5+b7lIq+BsHVA/w8oTM9e2TTJtk+TZBlU2fRsMk7J9iwpnYbahqQgdYG0a0aW6hGpN2Klk8ejbIL2M6nYVYWToiiKoiiKoiiKoiiKslBU4XQOiNGgXeZU1llS1oiXTeT1RKmHGgzOESHYZMMya3x/Y2QaY5eZhaRXUUyQYk4U0rxkSaKHD+Yrg/Rem3wbmP3nwwjNnv9J8RVGNO3IlG+hDhuABzBjRZPP5y4wxT+Jpzw/NLufRbEkuzQHjrb/+8gEonh9XodPqSiczN5TyZ3xEofz2ejpiFVcHYPKf88j/6Tm0RZu3ebr8z4pkDoHpCabKlIwbNnAG0iBHXs58f0g94fcL35tckN4RXmWiCPrnOBAVJkRK0fD+h5NvfqAd5MwiXfTaXLeKiZgdN017HzMZEI6xbldBuXTIozEp9rfEAVs0usvQtf83uBrXNoHuQfknmgffAhAvZyU08GwMnAK9HxkFbcBAKZLfp+GSR4tosYLWgdDlU3DGJl+fgZl0yTbPQ36R12cv7pKOT9GXYtn1d4NK8O8Sqfxyt7Baz6IlU79JuJSj0i94ngn8ILW0O1cVFThpCiKoiiKoiiKoiiKoiwUVTidAzL+20x4N0mUOgq8uGd1mHfTXLCyqbXtxiqbJJE1OD+co3vSHJFVDQCMoKvoMROmR0bCHinzoDF7QdAzjlyyh7A3BNo03/Spt9n2SfXjtDMwPcrY1ulQb3YzoJ7pVkQ93y3QtA0bHquFQi64z+etw3dbJ6BzGyuR7K63kui4oiHnS5RQgRMh4O0FNq0rmetioRafR7sD2Px7tofc8XshKSjuHVFmuPVP30T5Myp/8Pg2bY5750cxzq+j7zq25Nqm3n65/i2XlE1yf8j9ogon5Xkl6d1kOFQPiXdT2CJVRxT4E6TfPtusdGnR+bNS0gwjGZ0clcFpURHGQc+H5YtczqN0msTLaTCFdPo6cTsCxEpYucZN9XJSzgE7d6nru5pdAdCflQ4AOnXKLhV5taHKpmmUphfJsyntXr4IdZ5ytpynr9Os+59G6TToQ9hzzXv0ziluxHGGeslax/UKKjcR+tTOPUvvPapwUhRFURRFURRFURRFURaKKpzOEPHhsMvkSRN7N7FfU5yNpSdKnWRkNGTIOjJeNEloRnh6czd9W9Zg1rVwnExpAswhMikjsIYuI583bq/0r2PZXf+lGQiapKiRLGnm3hYAwCqSwimTJ1VTppiF3aIe6LaXAwA0A5oeBWUAwJ5Bv13RbKJl0v8tzgSX4XPZtkXZRPu3+TOJzPp9ndymZK3jY42z1on6y4DvijcUzTFHdB+bEaupIlmHPtdM6pX/rEVR4miXMhmuf1EBdui8hPV9mnLvvDC3l5NEAMXLqff6R6+XE90v5m5F/TmU5wq5X4Z5N0ndFUfTUyLi49VLw7+fJSI9TVR+IAK+YJ+ncVlzzjLiPs4jalhZz4Nh2QQnWnekT9ZkCtje77tqb3qOkWt+mJdTa/cHqqRQFkZvZjqTFQgmZ5kSwuYh/TNCXXpayibhvJVNvZ9Nl56Lk/WG3pfKPJ5Ki9z/TN6Mcyid+ubxVOoNq7ABoFuvRIEXj+wIvGNa9hl491GFk6IoiqIoiqIoiqIoirJQVOF0hrjlFwAAVvkygK7yKDh+AqCbjWW6cdujI4Z9WNbQr46ufk7/JA2TelmAwikmqXSKumWTjHBC9f6t/kVGSXmmIGiRwqlzQB5FkmnEDkWZ9AoAoOTk0XHWaNksqXCOM/Rb7Tik+skY1Lu9Zh6habCvk0VKnSxnhHNE4cSCM1EbAYD8eo5HyqPYj6nT788kmelM04jVT+Ll1GGfJvHA6mbBi7oZ8lgNJZZZAfc5N0JScLl1iho7tQhRg8YQR+ydEXonmJRprku53rvZiEhRZZU3eUr3i1t+Aa3d709cBkW56GRW3gDQ02YkvJviDI89WU2H+f6ddnR5FmXTgKfPDJH9Ud4l56lompRxKqy0eWetfjrtLHbDosNANzvtQFbThJeT3COZlTe0nVDmJlaXcmY6M7cKM1ftW0Z8xcTfsve67dY5UzzPz6HwPKu6bZI6KFlPnLdnn3JxOKs2bl6l06TXdF9blmjfwjhrHW1LFE5mrgrTp/chqX+ehax1qnBSFEVRFEVRFEVRFEVRFooqnM4Qu0I+OWa23Dc/6s0wBIyMUg+DMsBM11Pbl4mOlU3Vtdupy5qjlE8zEEbpaqugZ35t56WF7jOJ9BR7Bx/zZzrXQX0HAOB69H2+8TLsdv+Y/T2blt2xqdc5z75Ne9YBKiapnnImLePYJE8yIzqHVqxsovmhYcDu9J8PEZMZQ0RlZji4TMjKKc/tX8m3IrQd2meLVVYNm/a3Azqup03yryocVmn7R02EJ6Q0Cnic8bgsTtNcfyMj2Hw/gBVOcr/YlRuARq6V5wTDysBZeRnAoHdTb0ZTYFZl0GK9mybBdNh3x6VpN5NLf0anWdRSvfXQMiuaxrFMyqZ5mMfLKXV7CS8nuQcGvZxeRvvg/b4yKMq02LlLNC2Scs4uXIpV8JKVLkgom4Zlputl0dfkeSmbhu3XdMsDClY5L+LtFLIvjaIIw66vs1A6LXIfo9u99HtG6hHDpZEmhunALlD9E7F37rOQtU47nM4Ip3itmwLRJcNpkYTHpuEjHrLHpVbt+27Mw3rXeBqp5uAA8Ebx/YF59gI7nTqJDqcOup8/OKFhJJHJL1fcsyJDxKZhksa42/H0EQDArD2k/bGkMdM6gduiMl0KqBIIHOo8PCxQ58hhpkpTp4y6SR01TaMJAMiaNPbNsvs7mgIZ5mYChaZ8Z8TzgO7owWEdTwAgfuttNhFvJjqcOla3o6nm0vb3HDJEf6/zIgCgvk9m4dtP6eEdh0/joZ5B/fHwnY9hWIrQ1Mo4fqHg+4Hvj655+BU4RTIQv8iVrqJMArUZMpSO2wy/ydPBoXT02RtoG6Z5ITntl5dYOu4WU7+XjigZ7tzLpA+kz1Inw6Sd/MvcITVPcomRgQm5B/iekHvELl+O2wnv6NM5S688b8TJfQpU91oFCnyhJ/lOUNvhf4Z3NE1bD88znPg0mbSjSTBMd2xAQVGGkXa9LePwunHDzPsDYOnvQYKYiEu9Ypcvx/WN1D82W5pcZBNxHVKnKIqiKIqiKIqiKIqiLBRVOJ0RlFK1f1hWUN8F0DVLHhWlPi++6nwQ/29hcQqnAOkKp+/6ry9sH8BsqWJFuujt/oS2YbrIsMrGKVFkvrpaBQCcrFPvc6v0MF5fjkUMuX2DPvus2GrZrGKKhWYRPFYniQG4zV3BoS0m4v3qrsDuLitD6E5yPM30LxsaBuoObXCHo8DfwasAgG/v/2EAwMoXNHwxf5/KGO0/RnDMSq8JzcKnjUQkr3E5HXI/yP1hy5CJbCVOFaoKJ+VZx115BWaBkhUYnPAh2Js9wYSwqLZl2n33Rr7Bkb44OmjxkAteVuqcKPTGqnmep6j5JOfiNKPBvb/5IoyA5xlaFyeZYCWufYnUumZhDe4KJfxQhZMyLXaOUpRbxW0AgOkWANAwFzEJj3wa5jKsLk0zDx/GsiqbZD8TK5t4OdMtdRWsUs8nFE7yjP081d3KdKQNkb+oSqekYncgWUpcX/DwudZR10Cc6x+pj2xWf3uqcFIURVEURVEURVEURVGed1ThdMpIz6ZV2Iq9aGKPGk7vO4ppvJtmQfyRxIFazMGTfk2vdR7F/89gpdTdn5E+/0Obe28RwJJ9D/OMsibvJ50ngiLrBvXHCPbuAADMKkW/ihXyiMhfIaPSdoeUQ63IRTui3uu6Qb+9Kx5OsXcTTX2eBmaIvE//Z1t0bOLZ5LRF4UTTiA89cCL4rIo6ztPCD0u0zJFN+/VYWeUZNnZBZo3vBS8AAL5z9FO0obtvAwC2PmElxaMHVLa9LxDUWU3B0ah5ItppY5jHRRGSKd+NbAlWYYu38/ypG5Tng9istny122b4bIKd9G5i0pJMLJN3E0CRb4Mj31Z2BQBgsE+BHE/QsyxAXk7D7vXn+d4fdi6W0cNJmEZ9leZ/IXTbEH6Oir2ceJ1sCXb5KoDuvdRpPp2z9MqzTlzvineT1FEOGflGoT+TSfgwplE2nXVdl6YuGYeVXadpbg2GU+T1uX7nZ0cZ1yDnrVN/sKgiK88oaSq7s1I6CRP5D45ROk2yHyFoHXQNxLn+kfpI6icx3r9IbZsqnBRFURRFURRFURRFUZSFogqnU0aypdjly3Fvf1inLGbJlNZpUerTJJygu7HXt+nWUb/iaBql0zBl0+2Klf5FD8My6cEcv+4ilDCd+kOYh6RkMnfIs8naoGhO/ogi8U89iugcd8o4tGhexqDf0RZlE6ecy0U03+IsdQ0rhJOn8mV8OVb2bOE71ExkqWtnItRZ2bRHQ3zx2KF/PjNILVaPSHW1G1TxRZsyJN6rkcJJlE3Xf0KeSO5tityFO/fpmA/uolPr+lIBk/XgzzQGOnm9W/3pryVbnVlYjbN2aRYi5VlFfMrMwnrs3dQ5pEjwQEbTKdqK8/YFtHJrXdVAT/pf+pKOy5Q2cES2OuXZYyovJ7lG4nVZHSdeTmvXYRaofZZ76SJFgZXzIVboiIqa6yghbB6OrW9nVZiO46wU3fOoSOPMdE6x63uVULCGiWVRn6OwynPDeSl6F7X9YdlXh7Z3gUf1DQCrQKNqpD6S+slqksftRWrbVOGkKIqiKIqiKIqiKIqiLBRVOJ0yMt7SzHUz1MWZLsSHIyVqMql301n19Paqma48nf+yeXCpM/U6kZWQVIXjs+YtIiIUBW10ju4CAKynFKG3tihymj8iNVFUIwXU4/w2yjaNrc0avG9Wd7XRBAA0DPrdrR6PKi9HSobQID+KtkPnp8CeTvwxVqU1MxEeleh8PMySkumJUaVpSH5MTzoUsXvQuoydGnlaZO68CQC4/CkpnvJ3qEzRE1JQdJ5+TNPjuzNlTxGGXZe9PftDr12JYLOSSu4Xs7Aa30dyX6nCSXlWkPvALt8AQNd7FHDWSPapiTOaMmntwrR13lReTzPUCVaW6iMzuxJnXokVTokIeLdMrHhq7iFo7U69z+eV085S17evxLUwiXfFtM8raceTjA7H2er4moqCAGaB2mO5l4zdH/TtX1GE2LupyM/qPVnpgJ66168P9W5K1sOjrrNlzEo3T+ZPUYaZObrnrFw19p0B1++G+HBKfc/nwGqua/2uTM1ZeTotOmvdMKVTGqFP7Zrpc33E95TUT1Jfyf1zEZROqnBSFEVRFEVRFEVRFEVRFooqnE6JbrSavGbgZAey082jIDkPkp5NK9MkmDBJ5nOwPdr4yTaCOFPe+G2O93BaFNKL7B98BgBw9h4DAPK71Muc2yNvp6P8Ib6wSDUEEh6hxddCndVLNvqPrwMr9ns6zNF+9lxSSZX4msl26Lz5Fp3HQ9vBsZUFANwHRZg+C0jF9MSnMb9P2xS5269vA3v0XXWHli18QZKp6CErmx59xMf3OR/vcO+UWbIxzELsbdabrc6hY5b7ynii2eqUZ4Nevz8AgGnH/mUDGU0HIurD25Jl8G4CKDIXK5s4+55EvCGKJllJPD9aaxoBn5Lh6tKLkMluuLfFwHdyXXM7FLcTrZP4+lLPP2UY8TN6gdTeZpYUOgPeTaIqDbwzy0oXr7PEyibByrH3lfjzZSsw5Rya/a+YYYvqe0vq95wqnJTpGXbdXhSl07j9AIDBdY3UPxYrnKR+kvpK6q/AO1r69yBVOCmKoiiKoiiKoiiKoigLRRVOp4RE1MxcFQBFcpPZ6YSzzk43CmtSdVEPzt3xqSb8G4XR+0XKfpOp2ZaATp0yt3V2PgEAuA9uAgDWHpLC6XGugSe8bCsgidN+hsbWVmxSK2TY26nDmejqQffc3LUpW9y6RdOKVQMA2C6dnxaotzyILOwGVQBdr6Zdj6aHHvV8N1vklxIdr6NwRPOyJ9xDv8/jfh98AADw98i7yT++M/nJWDDJ618i2fH90TqJvTnkvtLItfKs4JRvAgDMAimCDMtCUCelYTKj6TCm8mM65WiY6ZDKxOTIt1lYj+9fw+F6yKJHECNgxWXC08kqbMLkbJmhf3Kq5X3WSP6+ZxUNnoRpyjBu2W6WX8kCvAe7UAXQvZfk3tJ2QhEsl56PRIFpybN6incTMMwvb3Lvpkk4K4XCIpRNplumKXs3iT+fmS33KFgt3j49vyYVrGZuFWadthN6x1OXQXm+SbuOT7Nd61MgzbGfSbLWybxhXk5SX4Utrr/qlaX3cdIOp1MiNgvPTmcWTt+3e/4fv8yoeRNjTt/RlMT76GBgnvvqyujdjhphF84uwDuthlu26+/SEDTrDg1VW1n5OgAgcK5jr0MPLIdVanSP8zTEzXFoqJ1tcUUSUmMchA4sk66JL/i7LA/Lc83+3z+IusMIpUOr6RcBAJ0OVV6BR/PNepW2dVJF8YCuw+wRndPohK5Ff486zryDj6c6D8BkktFR5uHdDqXJzcPjDqesmocrzwZy3VsF6rQ2XLp/I78dv/Qk24xJghSLDGDMZBYuL3Kc1tcsrMLIi2k43+syLFoSQLT44Sqg+zzyG7E5pnfw0UxlV4hTH3awwKHWkwytEwyZL0Pr/AYin4+V76X43jqj9PLK8pMcSicG10LAacl769zTHkp32tfnIjqaBHn2sgtk3SCdu2ahCmT7A8xyj0oHVLwNv4GgRutph5MyK73X9VkEVKYdWjdtm5g2tE7qIzthyN87tG7ZO5x0SJ2iKIqiKIqiKIqiKIqyUFThdEpYhS0AXXPUKPCX2yw8XJwBd+1zilQUXyjPt6E5htTFPdCnNAyjw8M8vPvfBwBks6Qy2vBfQ/7oJgDgeJ0i+60iRe3DxPE4rOCyzBBejq6NdpaWrdlsMM/KM0N+H14nsrtpxOU7g5VVbouiS26TesKztQLyRxTptWucZv2EhneGzf3pDz7BaZuI95qHi9JD7iu5zxTloiLDQkUJJMPNwpPdbqKJBbYZZ6XuEFWJmWNVU7YAo0D3LRxWE0jEm4dcGKx4iiNhfgtBbecsivvcsAxD6oRFlqU7tM6PzfbNEhsa872lQ7AVALBzl8YOpeteT6c/lG7R2zmL/cRD6QrrPK0CAIxCBXD4WTCZ2IeHUEv9HvlNWMVtAIB/fHvuMinPN2d5/yykzZpiaB149IvUT2lD6+wcqQ2XVemkCidFURRFURRFURRFURRloajCacFID6PVYxYOAGF9fyFm4cN6cKnH9XTT1E/K3MomYQk9nAQxsPUPyAMJHDB1T3ZRePQiAKCwShE05NmPxElEe0wa2d7Jm/DzZGbVyZIKquOke2qZIa1TLzfgZ/j6sVgdEND27Q7d1k6LrodcLYtMjc6lcUIm5GFrccqvSZRN05nEDjcPjyPX7OUk99my9+wryjCSZuFC2DyauG2YxPdvFmZRVom3R+zdxCoTo7QC5Nl/IFY4cR0fhH3zY88Pr91NbV+/BUAj4fNy2ubhi/ZyGuv1l7JO2CSPQrn21Dxc6cXKrk/l3UTT6Z4pl20kw6KeiZ0y1cN2mT2wJBFEgf1q8wUgm6X/Ta7fQ67fub6X+t3027EHlHhqdeoPFlJO5flmqZS8M7SJA0k/JvBysrLU3i3re5AqnBRFURRFURRFURRFUZSFogqnBSO99EZPdjqAMmwtIjvdadObBW1aRmakM+NcMn2zWbCDAIvzkDpLgtYuACDapd8uqD+G+eiHALoRIBlra2ZJ+SWZcwzO5OHky3AkIpSMDFmJPmFWAlQqJTTXWSGVTfe6snz63mmYcE54mQan+hU/sQVEvWaNaCfHK0+SrU4yPcZRtThbHUfHlrRnX1GSjMpOR9PGQJsxiypWODvvJvJVM8t8XHHkOw+UqM4bUHsyRqv/kcQMg1jVKNtVhdN8pNWz5x0NnmX/o7LVxT48mq1O6aE7AmEdpstpxpfAu2nR20rbbm8Gr3kQzyWrIMpVVoqVeGRDPoco46StCsPpr98NrwKrTNuz6zcAqMJJWQynruRdpP9gipdTcsTSOC8n0y3AytE9abeWc8SHKpwURVEURVEURVEURVGUhaIKpwVjc++/qFliAj9l6bMhWtC+RY2UxL9RGL6SOWSlIXQiC+GkKqsw3efoPBBPp9A/ATgC7+3+pG8ZKytZUWhqZkkRZuaqMFmpYzg5XnjIrRl0aLlsCfkrNwEA0Qpda1GW1gkdOudGQGoy0w9hHHH0boey6wXHPG3tTX2s50riWpb7TO477H7/rEukKDMRR9tTstMBnG1rjA/IqUXFZ/AfMR3KQCeeS5K1KI58lwoI8+xp6KS3C6ZDMTDT6np/mC2O2tXZG+qAPou6VJmN3mvnNJRNp5W9dFxkOQq9bnbHIdnq5N7za/cWWjZluTFdqovM3CoMN9/3XehRhuB5vZuA6erPs1A2LWI/4g8jnkuxN1+eM48WWb2ad0fU75xRmT8bQQjTb9F2j3m7/BuF3vFc5VWeb4Zd/+epdFqkl5PUVxYrnAw3380cWednLlU4KYqiKIqiKIqiKIqiKM8yqnBaENK7KaoVUahEXpOmKdHqRWSnOyvS1E0HVyZZs9+zKXqOujiTv1mn/rBvGl8zTiker2u6Jf4uvQe895pxHr8AALC33qB119g7pcQRJ/GBarcR7TwCAPiPP6Tpwflk6ZklW13s8dQbueb7Su4zue/Um0O5KEg2NzOX8PvjDFuz+TTN5/03T2Ylu0IeHLF3U4Ui4BL5DooO/BI1JKEZDW4A3SycDvuqWEEBRouVoPXNvv2owmkxpHm7LDIKPK/SKdkOTLPOQLa6nHj+0b2nCqfnA9Ol311U5qZT6Ho3hfRMEfqkGBhWh/bOv0jPF4sqq11khWn1GoAe76YqK5JKVGd08sbQ53yD63fbIiW/CcDw6byKl5Nkkmzv/mgh5Vaeby7ivUptcnq7F7dtXF+ZYZWWMx2YDj1rxfVcc4eW9Y5Ot+AToh1OC0Ik2ianaTc4VWFQ3weQbKxGGw+emmF40D8EzQwBM5ShC/0tRIeHtaWZeT+41Bm5G3mXGDYEDwCCIS8cozCC6YbnLTvyuwe9v3998vU7Neq4cuokm3T2bgLoSa8unZ6tEwTH3OF08Bmty51eSeZ50YhCb6aXinHm4b3fx5Vti+TWFr/cyn2nQyWUi4KYrxpZ6iCOuH6OzWsD/0KZhcdpsvnlHqUiACCo0H3crgBeYdLh3dR+GmEGZpvOj1lf79tP+8l3F1Hs554oaC9F6mhgcebhEbdD3XuJ7i251+Tew5N5SqtcFCwephXbGbhdG4iIE6ic1VC6066PFz2UTnBWKMBplqV+53arSIlu/CI9n3v59CQ2fWXkYKgbZGG0uH4vSf1OHVra4aQskrMaWpfcX+qyCxxaJ/WXka3E9ZrUc1ZdhqcuR4fTc6Q3URRFURRFURRFURRFUc4CVTgtCDHUE/NnIS1afd4Y4XB10SjD7tuV9O9GiZVGqZwAIDASyqpeRRWXxQgS+w3GR1CeB8SoXMzJO0d3AQwOywu9E4TeSd86SZYlwj2SwBuIXAty38l9qAonZVmR4R1ivgqzq0QEJkvysOgo+TxD6WQIhFW9CgAwqjTUIqqQmWWbm8RmpY2OM1mih8CW5bLI+Jy+vEXbtQ5p6LC78ioAwDv4aOayP2uk1eNTRVHnuA4m2fYiDcQniVQnzcNF4RQbH/O9uCwRYOV0kOcCwynyDKc7lM4726F0pz3sf9Hbd1deA9Ad8maUaIhzVKFz6VXoGb5ZpfPpZzoweTRCaPW/HMj8wJVnegeuT9sxGmzof3Kdvinfou1xEh5l+Rj33pD8fpJr8qxM9E+LRWy/V3U8dmgd11+Gmwd4ZJXUc8v2PqQKJ0VRFEVRFEVRFEVRFGWhqMJpQciYyTitvTBBtHoUc/X2jtn3NJ5IH9rb8f8WJotS9xUlxQuql15lUzBCZaUMkvSCmsVM9zRNY4ftb659JK5tue/kPlSUZcUpkAeRwao8w2K/PPYliz1EpkqtPZ8yRZQnsyhcYm+PKvmpoUK+AXHku0Jpr+uVyQ3qpDYyQhOmT2VzW5zSvEoKJ/H6eB4VTsm6U36/3vkSEZ0sQcNoH0n5fh4F1LzqpmnMw6WcUUARX/H8swtV2gbfe3IvtlXh9EwiCjZRfYvHiWE63dEHC1D1TVdXn66CY9E4Ky8C6Na7WCWFU6dC95Yom2ortYm3aQSidcjD9Gk7ToN/q5Mt3u9LAFThtCxIO9LXxqS0OyNxSvG/A22O+BqNUOgt4ho/7XedqRIjzZlQo3cbCHwYDqnKpZ7r1nvLoeRVhZOiKIqiKIqiKIqiKIqyUFThNCdxavsspwiVzGCctj32EAi9mTINzTQee5rtiz+SZKXjqSiOvuu/PnRd25hc6dQZo1rqVTglfaQkk545zhBKmZt5e/sn7bGfOQuRJfcQ31d8n8l9J/fhafskKMqsWDnx+yv3zU/6kgFnl51ulii/pN6N02Szd5NkpZPItyib2rnB45sEM+QMU60M74/2Y6+Rssp6QudzFmXnRSGOLg+JKPf69g0ogETpNKRO7vvth2RFjAI38bmdvv4IpvFwmjdb3YDfxYDnn2Qt44xbBxPvRrlA2DnyBTJz/Fzg5uPvxPtkEdnpzpPTykoHkAdM7N1UoXslrJCavFUhL1VRNrVzzdn24XHmyDarMk44W93KDZr/HNTvy0RSyZRsc9KUs5OoToVuPS3ZeduJ+bzcBKrrea713vvlQnjYMsOy1YVeHRYrnKSek3pP6kFPFU6KoiiKoiiKoiiKoijKs4QqnObE4rGRVq4KADAs8QyQjEOT986mLXte0ZYPTt4AAFgjVEzmBAonUSvJskn10ii/JiMcrYqKgg4QdsaWgZYdHjEddo5HLXuResSXkbSoQtKjY/RvxtFIn6JqpssZrPg+lPuy03y64JIrynxYBfKoMFyKFEc+1z+i2hN/sjPKajqrh4l4bJhr5IMTrZBqpLVKmYkk8l2vknwkMgNEZnqbMayu72TasHx6THHrtP38apX2K9nq1qmtat7/1kzHsayM8spIZiKNp04xfgbpfkefJYPNAD1+eN2MXV1lNi0jUdQaf+8Oz+o1KiK9AM+KiZD2QfYjx8P3mtx7ci8qzxbxfcKeMabT9W4CgCj0EfqTZ6ejzymeMkvg3XSa23fX34K1RgpWcL3rVWikQW2V6oJaXL9Pnz06sP14BIPTpt8qy/uxjmi/zuortOzD5VM4hSnn3Jzw3WCedRdNr6pJ7pmkkinZ1sByp67Ho9BDPE4lvr8oo9ooVW38LpBQPaWp+ia9D87qfpzVy2lQuTgmW51fhxlWeTtUz0m91/1Nz3fkhyqcFEVRFEVRFEVRFEVRlIWiCqc5MV2Kuoo7vBB5nAHjjKPVqQSsAgo5uhxQJMIMjTi6IBHmk71b6duYxK8pLcIRjunTTCic+iLdsXeT2V+EcPpIyijmUSs9a4qntJ7vpTq2RORa7jMU2KMhztLA/jiqcFKWBDOhhoXJfn+xGjahKklhElXstBimO1t2unVSOIl3k89Zi2orpByQyLefP56rfPUqbddt0z3vNEid4oiXE3t94P5cu1kaeuvbYdFm06WosOEU+TMrOCyn+yzCiiZTfGvMIY97YSe+9mTdKBSPPKpfRflkivrUq3Ujq3zpDItC9x3bApRNUylh42x1/Z5/RpZ9Y/heNN3KuWfwURZHd+QBZ49OeswE/vk+ky+IXqX4aagW7JUbMFYvAQA6q1kAQH2Fso7WqocAAD9/MvP2O1nKRAoAbouz1Z2wVx97RjlrLwMAWg9/d+b9zEpShZRUIM2jSJpk3d79L1L9lPRpipWAbilVNUufhyhngUH17JAM6VHP/K6SieexP6uRqnDq9xCMt5GidJr2fjCszLPxHhd43fNu9v9WUg9a9fMd+aEKJ0VRFEVRFEVRFEVRFGWhqMJpTiRTT2/2CyA949A0TDwOdUGeCNX7/cqmMKFWiqzJM9LJuuYIdVOcHS9B7zqj1p+WRfVcX+ge8Ck4i2x1i4gqJO8zuQ/lvsTRpzNvW1EWiWQKMbIUZTIszgzaIgXQItRKtJ3pIt2zqJvc9bdgrl6l9dm7qb5B0bXaCilFvPI+fZ+pT7199ChdWyvUnhx3KGqXaVCdYh+tAACsffL6yKy/DQBo7/54+v0tAcl60DC7GeeSnk1mdoXns7KpJzuN4eT4f5qKskmuN8noGSuf0fU2ilj5A59UDKHTiLcLAGHzkKYAwH5OUrZhUeh4H6E39fPKojIIxWosvtfsQpXKwfeinds49ww+yuKIRx6IEjDxfB5nqMNgdrpJvJuWidMoX2b9SwAAe+167N3UlHp4/ZA/79D+ndZc+2rRLYiTNimoXK7fS0fVbhl6ytTe/dFc+xtHGLRjNdE8fkzTMGw/afNlX7MonuL7wuxvV+L2xS12/c5EycT3jvgCIVY6DfEE7CFKKJ2MwI/Vs0bg9C0Tyee4bahNcWS9+0x/rxh2n1yU+zvp5ZTEsNy4Xktmq5N68LxHfmiH05zEkl1+yIsSxq+9D/PTvFCcqrkXD0kzAuDSnbX0RcxoYF5kDc6bFiMwRn5vht3vk6P4DOkDCwaH1E1zbmc5p8Meep+XDqjTYNpzFwVedxhFcqhEPCSEzWBz6de1opwX0glqJl5+hsvPvYV1QqVuf0azcICGORhr1IHWXpehdDSErsEvImZpfpPXKDKBDHV6ND16ITmp0QNx9ojeVFwe8uGskbnsRe1wEnpfBuKhD/LAKCagkqREhhBn5QU7ByNLy8CRYRP8mOcM6eTxvbjzyZCOJ49famTYZ+LlwrBcxM2z1/9iMMk1e5rm4b37Tx1K1YPZG6DQ4MQzwyizcIAMduepWyepO0/zRbb3JfQ09uOsv0rbX92Cv0L3UG2Vhs41KhRIQJGmaU/0RjJgLbYYPD/qCSZHXL/XJaDQpHo+e0S/obO/1VemRXc4JTtwRnXyJJm2Y2rSsgzbT9q+RnVADRs6F7+3JtsVtzB+SLbV7TYY1ukUP48HiaROPcO3484oDhonO6DiK8jy4mF2ctvJ8UzyCDPYYTPcNuQ0htb17m/cdudpF6PAixMhjDMPPy90SJ2iKIqiKIqiKIqiKIqyUFThNCdiqJYmU+9lVDQl7buzkPllHjQAc0yfo3XKfZIpaqWhpuDJZYPJh/nNez6Hrf+sKpym6ZWfdx+D0tf09J8jv5P7ju/D+L5UlCUhVt05FMGNuP6SYaFnnWBilLnzMOzCZZquXe8OpVul9U9W92h7ZVI4ZZz5hpUDQNiTVMKr0HZPWhRxzdVIzbiyz0Pr1m7GZezUH86977MijkKbyTTUmdgcfKiyiZMlmFmu75wsjCxHpEXR5HIU2uGptPnSzvo+DGlLWzw8xpG6mc5/2KJ6VZ4GQgDyyySVToNpm7tm4qepbEolmWQivte41HwvqiL22UASMySHoMacYR17FinIF71tu3CFpmtssbGxGg+VPlklRVOH62HXbaZuwzC6z+lRNPn7Q1y/N6muKxxRPebwkD4pk5VdR9CaXT07TtGUZtQ9rcH3pExjQj7MwHzYOoaV6TMDB3pH5PQnmzBlmH/PkOzuszQP0U4OyR5BUtkU17dhJ74HDR62LerZOAEQGn1liwInVjtJexgmhnOH3kl8zPE+hzzXpN2Xp/2+fWbviVKvDTEP7w6hPJ8kGapwUhRFURRFURRFURRFURaKKpxmpBtJ6aYjBoAwTnE9eWrr0yJp2BZJr/PDBwB6vB0mwUw3+Z6YMOjfTjhenRQNUYv1KpsGj3F85GqW3uZxhnPPotJpWY5pZNpriWD7FG0zXY74S+RG010rS0IyvTDCIfVbCsn6ZxHeTrOZhb8GADA2LsfeTcdrFJn2KmREWSpQ9NkxF6MiEJWTa9M9ftKmyPdxjaJ1hXXykspsXOEyvnEhFE7DlU0SjSwORKKHKZuMAjvvZnJAlutJmTrsw2Sy24rDbbBP7agRZoEW/1asgjJarAzhZwSTp3Gkufd/8dfo+Q7oRp2FKGgvVNmUVLtO1RbzvRen+lZF7DOBxaa4ooRIesyMMgtPssxmwqelnnLX3wAAmBuUEMJfcXG8RsrV5tpjAEChRPW81O8B189W0nR1BEE0+D5hmfQs31qhuu74hH7LHCtYHS5TZvMraNz9lxPvCxhtBD5MOTRsO4tk3PYm8W5Kft/r12Tl1ul/UcpKsolRHoDs/RcrmZJegN0dph1Q30d5h4sVtH6rxwuK700vXSkHi9/tPDIbBwBxEU4qnbptQI9/n5mutI2/T7mHluWdJ41JzNDlPAyYh8d+XHTeLLesCidFURRFURRFURRFURTl4qMKpxmx4rSr/RmHZBzqaftxTBWd5mheuPfgVMqycCaM/CfVTaOYt+d6XIrNZ1npNA+n5tmR9OaQ8d8c+Zf78rx68hWlF9OtwOKookT4olgNO5jRdPb9lGCXOUot+2OCGimRgjpFqkepgCSjnlXcBgDYBcoE5/78XwQA7LwTYef6R7Sd9XsAgNUSba/i0v0mUey8Sffmqn2AqkXHXDVoOiwqLuvuhlUchqRk2vcpOtsuUwS8tk7TnQ6dzw1QNqNM4S/AXrk+9NgAIGxSGTvHVOag/jg+H+elbEj6LMByu8om9tiQSPSAsqlSBQBElSLCPJ2PIEuKJrFRMRIWiEZAX5h+BJNVT4Yvyibx6+DsUryOyRHrEN2os5nMOmT1K7bmVeMtom0dyGrKUXUjK94m1Vi1ru3FxSVWCcbeqv0Kp26GrDTf1MmzK45d7pTqkNOum5xLpGDFOtX/x9stHF6+CwAord0GAFzP02epo9sRnXMv6D7jDVM9pSmbYvht1CuxgnWd7s3iAf2W1d21bhkTCqdhmdpGZXCb5LvzJq0cw5RayUx0pluCmaPnYUuUTdKO5LjdYA+7Pg9ANyM74nnSJkygT8nS9o7fpnbr4Ut0rfh5egbIH1zC1ffJB9L9zie0zsl++rbkmd7N96hmaSpKJ6tAbX72pW8AAIxrLwAZLm+NVD7BZ5S1tv7+P6bPCf+v3kyPw1RQyc+5q9+AfYmy4sq5C1uktuo8/RgA0Hr4bZrvn4zdbpIo9Ma+M6X52XZVm4l344SS97zeU1XhpCiKoiiKoiiKoiiKoiwUVTjNiPQiyxhYIQonV90MY9YoxrAITefgi3mKA6B/LHyy91S+m0ZxNAuL8C2h7Ux/fof1dCe3GQXtZ0bldFaqrcVEsBPXpIxN5/tUUc4Tyy3H16RkewlaxwAWU685Ky8DANztt2FdukEzS+X+hU5of8HjzwAA7Uc/BAB4uz+JF3FXKGqXufo1Kvdl+lz/afLP+ODnfhsA8ObWv8HPZihCWTFqfbs5iiiK1ooo8nbFJGXVrfApXjqhqOXGCZ2D1QOa2h5paLwsxS4PKxQZ3ykF+JQj3p84pLb6oXMAAPg0Q9OjdWrf9l/jSF+jivLDLwMAzLA/plY84Kj5Li2b+4LOSfj5B/AfvUfl7olMngajstIBgME+C3bhUlfZJJ5NJfLkMKr0OdqkqH9jm87f8XodrSJFdn2X6lWrQ+2z0+bobI3OZ/Ykw/NNWKxwstqsaGK/JyORxTZWOgFxZtAwoXQKwv7Ia38E9nyVA3KvhXzv2YUqAGovRLWuCqeLR1LdEXtzcZYmeT5YhIp00vIs8lpP1hFCmv+M1CvdTH393nD969P5EG8+6yapYxvXaZ0ntz5GZesDAMDPVKheXDMPAXTVSocR7ecwoOlRUB6tZOqhk7JcUHgEANipUD14uEF1XWGHvPqcSzeQ3fwpKufD36FjnUDZNM6raVlUTeNIHlvy2ujNSDdM2STKTiNb6JvCcbvZTEXl6vSrBNMym3c26bd6/8/9JgDgf3X9bwEAfvnwDgBgtUbbenI9wH/7R94FAPz3X/9rAIA3/1t6xgjvfpx+wF6jq9DhqbP+EhXlj/0yAODDn6dnGuv6N1HJkGJqv7kJAHA/+SoA4MVf/c8AAI1/+bcBAO0n3413Mc4TTbLzFt/992jGl76E/Rfp3mnlaZ1sg7ax+tnP0H5/RMdZ/+E/gH98u28/p02s6OV6zzD7z5/plM4ki2YSVTgpiqIoiqIoiqIoiqIoC0UVTjPSjR4ken8XoPIZFR2ZJkIT1J/0r3tKflLnxTTHM28v7qRje6OgPTabwEVTQE07/jh1GyO8nBZyPoao7mI/FEU5R0ynNOD3N6yt6I7DH1+/2RVSM2Vu/CHazwuvI6pQtDLM9MeTzHYVAGCtkiomw/4NkddVKGVukReC9fKXAAD11yhyeedP/CoA4H+x/f8GAPxM+zauP+XtsjdQ2yF10qMS6WAClsMUfJr/8iMLl+7QfWm/dwgAaH1EKqX6Y1I+FbboHK29QVHtG69VcPUFOg+Xtz4HAHzNvgMA+Lj6fQDAXrVfyVWPcjh8ie77vWCl77uPaxRNvf+EppufvgoAuLTyNbgfVPqWbd4nNddpRwCtHP0edvkaTdl/yly9GiuZkKfzEpVyAIDGJfptd69TNPfwKkVQneojVLLkUVHiLFLNgNaptelcHJzQ/vJPaX/lvVXkanQtZFh5ZrPPmFxBRsg/csBTrw3Dpe0aPiv3QlE6sYoo9phYjJfTNCT3NaDuSLYXbl7VsBcYw2Ivmvi5fMjv3XNdnLfabhRyz4iXXnxcbn82xd7nqe4zT8L3TdodM+V1j/1SrZe/AgCov011xO2vkNpz48a/wS+USEX0tZA9dyThmEF1xZFJ9cBDk8r6wLwU++5NQhD1l6tik7K0VqLy19arAICTTfq8+nQTzqU36ZCe/EH/4YzwchqWfe6iKJuGkebdBFBGuljZVKDfZlDZxNcGey/BcXoUTlz7i6KJP8fZTgFEWfrtPvoL/wIA8P8p/Q0AwDf+Ll0k/g+pLQpqdP/d3Mjhp3/6R7TMn/wPAQD/27/8XwIA3vy/k09kePh06LFK1jX8yT8FAPiA9/vvb/9dAMBb4RdwImqj6iU6ju9cojb+H2/9zwEAX8b/EgDQ+Yd/ncrW4+k07L1OlE2NP0HPRXe+/CGCFXq/Nm26fsKAzsWjl8lX6tYmLVuwbBz/zv8VwOkqLGl0DdcHUs9JvRcrnLrqR6kzVeGkKIqiKIqiKIqiKIqiXFhU4TQjccTBod79KJGpJdmTOU1WjFE9jhLRGNVT2qk9GvrdaZBU7vR+XuYo0jwMU/2kZTwYNv7+orCIco/KuDBcETY8C4PMG8g+xFO5L1XhpCwDplvqaSso+hf7isyQ0VSuf2eNvJvMa+RpEK6X4FUoAhmaUd86lk8RadekKLl1jVQ+7nFXCSvzvOukGrr9FfJ3+nNb/xQA8At1Uhm9dcdB5RFt36pRlLy5RWXarlCE0QwNntK2q7c7iH6wBwDY+Q5FMW9/RtnCak1aqJgjpdOte+RDtLbfxuU2+Rblmk7fcb1cpW08LVHWPYcj76HZVVftZ+gR54TP149XPwUA/EubVF2PbTr3tv9lrNVIWeQ0yMPHPyBfCPFfWDRWjo7LWacIrHPtHQCAcY3K4V/Ko75B5WsWWwCAVpH8sGpr9Js5G3cAAF9bIT+KN53PcBl0jl3Q7+LxY97tiDyw3qvStfJh+S0AwJOVa8gdkD9KdYfKVNqla9Xhda2QI+B87Rp+PlZHGJLxjbMKxfV1wsPpXL2ckllN43uPj8fJaVtxgYkzd7mShal/5EHo1fs+R31Kp+Sz+vzX5qzbkGcgp3wTQFf1aJXp3jVLpAIxCpwl20p5hZPsYr2qld5pLw6tv/MO1akP3/gOAOC1q6Tu/PO5b+IrJ1SfrNVIn+BbtGwtQ9PdHB2r61J9YFsBsgbNa0Wjnx07GO71tFWgrNp3WMF6dInqpvL6Fuwtaqfsz68AALxjapdm8XK6aAx4NyU8u8ws+/3lqrGyyWSvOgxTNmX4/Dg2Iqc/QylY0RRZXWWTcPsP0bvm39z6PwEAfu6/onP7+J9Sm/n0IX1ue3StlEsWtj6j9vUvhvTs8nt/+j8HAPzwa3+HivKvEh56YQeReDe99tMAgB/98e8BAP6jbVrn6437AIDtEwOuT+U8yVEdv1Yir0q8+P8CAHzzT/6nAIDrP/mzAIDjH/w/Bo5LyG5/nf75UlfZBADW9idYz1JbnLOp/Wt2qM08yFBdc5tEg3hj901kb9N2Gne/CWBOv9qB9+3uO1Hy/UjqPSv2DxUVZDG+jhLJa08V7XCakVjamlbh93C2MnLu6DgjY8TkfpE0WT0l09VlpLcSSHa8XdShdMtMWmdUH3xfJiXoinIeWLm1wbZiguHXw15cYmPQMhljokKf/aIBP0OPEIFLL9NmwFJ4fmA02EjbbdCDvH3pxe6GS3S/nFyiDo7SVXpY+yPR+wBoWBwArNwJYH5ED4bBPi2bf52GY2Sr3MHgUzmMgB42o89PcPIhDQG7+zk9pL3/mJbZ58Nc5bLbFn3vlvZRKdJD0qrPHQL8ALxSpPPJvtndc9PzBHW4Qufg9gZtDzlK0/ygQA+O+3z+Di/to7pCL3XWKk855fKiOpySQx/czbdp+jKZjHZep46mJy/TeT248hOEFXqodTLUQZZ3yez67fwdAMC7Gfpd3grJOH2z0UalTec740vHI+3/Kxl6cXynQC9n/3qdXuh+P/sunpZp308LZA7fztM5WHlEQzLyPtenPrdhvg/43K4lh9b53PFkJjueMmfyPDRR4o6BtNF2PLRRuXiYbPiOuLOzv3OlG5Ca/fqb5Ll63s4qMSeWjibnCic/uPYCACDcrAIAvCIPW3aiuGPf4A53g+u/kE9Bsj3oZe8y1S/NF2iY089d+lcAgD9n0jC6t5+2ceNe/73Ucal+aeY4SFDm7VZrvB8THe70qke5yQ4cg51PL2eonjooUgfK8Rp1itc211DdovOUvUzJLTr1B33rPssdTULSJFw6W2VIpZmtDHY05bkNzWb6p9zxGGXs+DkhdLijiduPNB9472UKdPzpT+gZ4Ohb9DvcvU2fv9ija6RJfZFYPw4RhXSdvPR7FDT5n/4sXT//7E1qm1/+nf7gBpwsDL5/O7eow/Xa9X8IAHjbe0ifD6isq4c2LN5XIScDuGjGu6s0JPS/f5k6q6wXyHgePxg8LsHZpqDMwS3ahgyjW8/uYDND/2dM7lRL/D5PqnTOD26+hOol6iAFdzhN8k44yoZkHF1bhmQ7J8Ml3W6d2Rw+hHHR6JA6RVEURVEURVEURVEUZaGowmlGBnodOUXwqAjKQqS6Q6Is06iaLsowt3Hm273fLcsxTRRd7VkWWH7l0yLKOU9vfW85hpUhvu/4PowVTnPsT1EWheEUu8M8eCjSLCSVfYbD9R/L4CMLiHjIgww9C00eNsSmlhKxjCXzkhIZiCOdXpbu+TeKpKC52qCI5cpTjqrePkDr00MAQKdOx1Ncpcik5YvBNCubPPrc2WmgvkvlP6zTvEcsPGrwGLh2SOtcPaHvL+97yD8mWbhblOgcD9U7ovKXm1wnsPLJ8EOAt2O36Tw9qdLxlFzaf5WNaR2bjsvPtOKIruXIEIWe87IApC5y1yn1uHOT0jX7b5K66IsvU7S2foPO+WblDq7nSLl006bvLhukSLgWklLsxgmVf+OYzkX12Eb+hP63E48EHosNLm/QuahuUaR3s7yP72WpTB/nKBK7nyWVUscmU/oNsNF4yMM4ghDxAAsZliZD60S+z3L+KOw1Nu6vj6dpt6cZej0xMizQcmA4qoa9qMi9lWzv46GTZ6T6n+d51HRKMHOk5omVTa+SOfbJi3Rcx+ukcGyUadrJtBHyjW52+BywpDHk4cKdLA8n7JV+8jKXr9IQuv8xG4P/QvsjAMCbX9D3W3cc2I+oLkCW2piAlaXZEn12WEnZdGl/J3YTxyapWGxjUFWVZNiwuopF27jBas4fV0nhdLC1idIlUqbaW1Rv4ZN/Qoc1wjT8WSE5lC7+zPWXGIUb2dJwZVOeh/dnqU2NHL5mHCNWxslzQuD0D83vZat4DwCw9gFdAztP6TzvcfvNuUDg9Vx6azX60H5CX14+oN+/tUJtm+Gy0lSek8IOwHYELR6uf9UlJVWenzUKTbYLaBmw/P7y5zwqW4HrgHKOTcLzMsxsuPWLmaVz2ixS2yYG4Tm7GSubsgbXLbI/HmJn8X3ZLDWxmk2Y/Z/RO19sORImkmSY7rm8G6nCSVEURVEURVEURVEURVkoqnCaAcPKdFOPctQ6bC2/X9GyqIAmZZSyKe37ZWOcl9Oylz/JRVBkRT5HIlw2TnQLS6eCU54fuve6E6ellmt0WIKJSYjH6LOPjumLismCwWohU5RA7OEkAW7x+IhT3Ld6DHV9iio2ytSebdkUDVxhj4TMAXsZPG6g+ZQjedkhxq9Bf2Q06vkchMmF0wknWM5iA6jedM0GK5xcjsaXm3QOPipTVE/SdvsdUmW57SxMn8vn07lNGg3Pg2Fl4FRu0r6uspvoS+TL8ug18lYSH5VXV8io/UvZD/GaQQqnbfZDXG3T+d9idVelRs8fBf6cPQhgHZPqyWixuoDDy1m+HoqrdE1mX6PfrXTlc1wt0O/87SpNv8MeWjsWnQs/Q9ssr1C9WtotwK1R1NbeZRN6l9uFx6z2Zi+n0K/zOXDPvQ4elWRCnuW0vbhY0PM4J/GR35DTgCcj+8uMYWXgXiLFjng2ibLp6U1KjNBgFUhYOAQA2Jk6Mi7dXxm+Z3PxlO6/Cqs5LaODekDvLRWLFFJ/zCEPHjEGf+tT2l/5U071/sEhOmzAY1VcntL9kVunqdWh6TYnaDjKtHGUozLYE1gSd8boHl51yUPvYZF8m/bWNlHfJLVTeYu8rrKXyQev9fB3+9Z9VpRNZo837FjvphwpnMxsscccPF3ZFGbo3AdZ8W0CAod+M/H+ixXT1uBvKUbZrZKog2kqvuOuqKS4abUMwBZPcn5uOCzSdq0jLisrjOHx+4aTietpp0EbfOqTgXzLpv157CvWcaNY2eTzvDYrtOqs6Dlu0rpoNAaOJ0nYIpVdrkbHucfXerOT63o28f7aYfc7AAhYcZg7ycXbOW+kXjQsp6fOPLv2ThVOiqIoiqIoiqIoiqIoykJRhdMMWG5lIO3qgBv8DNkwNKI2Gb0Km2U8Z8OUTMtY1mViJgWV3GdOgbeRGKtsObBcivh0zjAbg6IAgGGRgqbPD8hvzb3d0KOodXBMmVLMI/Ykyq9C4kiB35/G2OLPDvsr4Ih9QJ5+Fi/jbFAUWXyfOpyaxhHVFKtmvJqPgBVBuUvsJbFBxxqsis8PhzXFT2m/hUyRtrdWojJeOqayHPG2KtysrvL3ubINm72hwks0Fb8J8Wwyj9jDh/0cIsdExNHTiCOgksr7xyZ5Er1//BodxzFlvbn0dBXWAUXlw31K9RzUH2NROOWbcLffofJeewkAcHiLyntwg3xTXqp+AAD4Wo6UTm+Hd7Hh0bWy3qBlq3U+f3s0zXMGafuEVQg7LYQ7tE5QYzUPK5wMUbyxF9YmOKtg08HaNl0L5TXydSqWKfr7XobqzAdrlL3uaYOUBU8PN1F6StdKdacKAKgU6dxanKEq9DhbXfOQCmm5A6mczx25F51cj2qdrzNtry8EhpXtedZKeqvy80Diejut33ae7dqVG7A2bgEAOlfp3ty7Qoqm+gZ5uFlluh+r7EOz6u5h1TkA0PV5u2XQtBrR/VfuKdNxhs7TlRZ9d+Mp1QmXH9D84g/YI+q7tJ/9z06QKbBnE2cfdVdoWYcVji7X85UCKTsulQOcONQeHXDKsMAYr20IhugfCgalvL+TJ6XT/so29jlLXWmb1CqZbfK8EoXTs6JsSmOcdxMczvKWLcQ+RaJwEmVTkGc/Ln7UFp+mwInibIaBTdPQGu7htHNASrwfvErn++uvVQEA24/ofgvYh6nBt996ycDmJpU/+w61Jd9cJz+urW/RtmAe0nGxYjYKO/H7tnuflEIfPKbshJ+88C8BAKuczdW3ojg763Ge2r37Zfr8I9D2s5+9Q2W78/7Q4xI6Tz8GAKzcJgXdo5eprAfZ43gZ8WwSZdNBa4MPg7Lcrn7mwuPtCKc1WqS7Xa4HY29brgdjhZPbU2eeXXunCidFURRFURRFURRFURRloajCaQYMKwMkFE5IeAIoi2NYz+uyRyDHZdlbZi+ki0Z83yXvP8vR86ycG2YchczDsFj5EbcVyai7lzo/DVnG3/sEAGDdo8ib6bwO1yelhvgzxGVps8/TPkXngnsUdfOe/iRexr5CWZGcNmWKeRxQBPk4x74OeXpksIoOClsU0cu+Qb4+/hWKpp5QgC/2gHBbFGEstcqo1OjYb4g6KkN14e4RlW29Qudo8xpF3UovV2G8WKYy3KA2t52ldc2Qtlve4ex4dY7I5ix4efrucJ3mfbZC2/2Nkz8CAHjy4F0AwNanrwKgKGTE58N/9B4AoFN/iHlxyqRYcC+9BfsKqaqCK3S+dq5S5L66RpH7d3O031cjmr/ht7BZo2NdPWG/pZN+ZZOzT+fTfMqqpscNdPZbXH7OUtXsz4po5+g35KR1qDZKyJ3Qp9xNWra68WMAwJvZOwCAjzLklfLDHB3DnewLOMqRiqHF3ip+ZhsAsO7T1D6hTHphndQYgd/1sZAI7Gm34cl7qbvffi8n07Li7Hpyz05oM6acM+RvI6qP0SMPTiuL9DzrSh3hrL0MY40qzwbXW7V1UrA6VVJdSlawDYfuqYp1jDetzwEAr3VomW3OGprtUB3IQhVYkQG7Q2qMG5+xYuQJl/setQn1D+ievf9jqmD2Dzso5OgcFvbo3JVWaJ0i1ytZNuQrsMfTpZKNhsOeOzlSUp3YifelHoYpm5K86ZAS94vidTy9RHVMY5PaqcJlyq5pf3gFAOAdfz7RNped3mx7yRETcs3HykyX6y/OiGZk811lU57rNPFs4s12svTbicLJz/ixoqnj0O8bmv01YdTj5VS5TZ5j/8WVPwkA+Nv/wb8CALzMqreV9w8BAB4ro0vrLtZ+ltqLP/h3qPz/l0f/awDAGx+K8ZNk8xUPwnacjTf8nNXA/5oUR3+r+j+j8q/+XQDAi/ldOBGrpm1a57sGKYr//t1/HwDw5V+n9vfko3+OcTTv/zYV6Uf0vHBz80sAgDsAnqzQc4lkrgs5C7Aom259nzMo/uhHaD38dur253kXHLVuMnNr16sQPN/pXj9n2N6pwklRFEVRFEVRFEVRFEVZKKpwmgHDysRu78IismGM8vqZJZPRNNu/CFx0pYqe/+51LOPQF7/9hIeTqQon5fyIr72eyPsiVbCdo7sAgPZd9tfwmrAusZdOiSJwCChSGJ1Q1DrY4XUe/RAA4B/f6W6QPW0KxxQl/bhGCqCPKr8FALh5k8q+cbQaK2TaV+m/ncu0n90KTcU3qVrnqKqdRblE0b9LL5HfxNoDyrAkfkNWkTMhXaGobbCVw8F1inzurlLEdY+z2nAyHWwU6PvyEU1rpRBfbNCyHxYpE8s/8H4RAPD00z8KAHjt23Rc7hcU2Q8//06sbJJo5Dz1tJUlZZi7Tooge/tV4CpF34+u0jlsXCK1wusFitxfN0jNsMIqhNVmGHs2ybEVyK4F9iErc/aojJ0HpB7yHjfQPqR57Rqdg067P3Zpc5RbsgZmaz6yLfo9roV03gsN9mXZpGsmV/L5uOi3tY0OPuXt1QO6to/bpDQrbJP6IP+EfmvzKW07aB0MKJvOu03suxcTWeqUi4HRo3BKMlrRNNkz9STP3rNcx1JHOCsvAgDsteuI1qsAgON1rpfYm2YrT2pLUTZtcvbQK+ZTvBxQvfHiId2bhRbVFRmPFU6drpff2kOe9x3KSlf7CWfI5EyfBzt0rB/fo/ui7gPlDG23WKN6ZJX95LwmzV9hj74Ce+2tFkoIOSOrs0Z1kJOnZVrmcI1DaAz9io7PIAXXK/lPsbNCnnJ7V2hauEx1TfYaKV+8954NhZNA75yi4uMpZ6eLMzM63CLHHk5ZRJn0bHSibPK5Pvcz3FY4HQQJZZNMIysYLFdA19rvv/9XAAB/7S26jv7a36Tr6Es/uUlFOqJt1i5b+O/epu39H07+IwDAzX/5y7QtX/xY+VnJY1WOm0HEXlDgrLz5f0Vq5K3g3wUA/J9/hlRM61s/RsU5BAA8qVE71Pn4DwMAvvxN+tz81b9Nx+V1M8sPu3/lc+17vwIAKOLfAwC88eRLOLhF+2wWqb3ONmgbq59xXfQj8mKs//AfIPTTs9hP0taMemfqL6s3VT3YVYWeXXunHU4zYJju4JC6BTCqsZKLbREdTxeFizqULokOresyqtI8lfNhOWMrakU5LUynP103gMFhnwvA26VhcUH9MaxH9PBt5ap9ywRs3tw5pg6noLU3uKEsdTg4bXo0OGaT6H9doaF2Gy9QGu03My46Nr1E1LLUJjU5DXGDUyMHhhh20wNmM+Mjt07zCk02M4VM+5HhePVciKbLHTSyfTYCN9nL1F+hB2FJr3y7YuF3ndcBAP/s4JcAAO2PfhYA8NrvXqey/do/ojId04tcUH8cD6Gbp32RusuucKffGg2XMS5fR+MKXQNPb9AQusLKAwDdl8dqRJ1vFY9f8NomCtxZF5uDHyaG0O3Qw67P08ZOEw1epskvhkGH01onNPPywliq+yhy55PUvOue/C5UZp9TrHsFGu5Xd3M4zlGH5hcFusbbhSrtt0JDFvIlNrPlNN3GsYvh9rPnRM+9KPeo3LPKBUJetIYMqVsak3oM1hH2JRoOZmxdQ2udO82r1LOcL3DdwC/RaxbNX2Nj5avYxWV2ZC43aN1si+qMTJvqSYPvezMEnA+oI+vo+2QK/vhTqnOeHnCw4ITu0PcOad28FeGIq8Nik+vfNndOcJ1hmLQNu0DD8TKWgY2Q7/2Qfg+LO572czzsuadzKTDH9DQxmZD286b7GT4rUb36+BJ1OLW2aWhd5spbtPB7E23yQhIPqZMOKB4KbLg5nnIt7jiAw8P4uU3uZHjoXEpHE332EPBwyG6HEweszMFBVwY31NmTKgDg977zvwEAfOvGLwAAXvoqGXMXuP34onkNex/R8LQXvvs2rbtPZYu4rIYvY/H5XvY9gDswZRoeUkKPzD+l9uhLP6DfPbr8lbhz7QW+cKNPPwQA1H/y3wAAgmbKc88Y5Nng6Hf/CwBA7otvoML37QoPYQxbHPRhg3AJXA3rbDoLkkPHYyynW2eeITqkTlEURVEURVEURVEURVkoqnCaAZLwppuGK/MRBe3nSvEjPI9qp1MhcR8aahqunCNdg8+eIXVhIsHEAqPvQXMXQXM39btR6tjc1W8AAIyrZA59vEaRcJsNMTv8qHBi0/SLDQ8pAU8AQKaTrmNpOBEabE4qw+JmIZ/YvqihahkZtmHhSUAR71qL0otXTtjg84iUQF6dhqq0Hv3ezOVIw8rSfp3qTfq8QYqqznYZu9cpsupt0XCPyzmK0lYNioDmIroe8myoXmiayJ/QwdknFIE2DzndNCuaPB5KV39MEeTavo/aMUWk6y1WlrU5qs2KBPb4xRoPtfO97vks8tThZVd52Ma1LEWfGw6pDHYzj3HfIaP6pxlS1DVdNit3xKWYfxiz+5iZlPGfufJEIr6xYnxQ4aTtxcWid7iRsAiLi9PCLpBpcrKOCLdXcbBNdUG7SvVT2ab7u2JRfbzOyqY1kOSxHLRQbPcPnRNlk9vsVzjlHntov0910M4dqi8+eUD1ymesoNz1+tVG7dDAAZ/KFa53Pd5eGNF9HoSiCKWyrYNUTgCwanICC5PqD5PXkbqa4HppjNApZMXsS/ZjvJqnZBmP10gltneF2q0rV28CAAo3SNlav/troze6pJiJOojeOfvNwuNnCplKPevwvZBxEWRlKB3Nik3C2Um+V9lE03asaBKlkyibIjNlSF3IqiRuhE0eYpf97B0AwJP216mIPpXNbbu40eDy8w8u6iuTFU5w+Dh8vvAsi/6AOPGKXD3yDOW9/6/o8w8aCD1qoyJOUhF6NV52/pExso3G3W8Cd7859/bOmr72zjz7IXWqcFIURVEURVEURVEURVEWiiqcZsCw3EGFE5OMIqdF8M5rPPlF8D5K62191iKOaQZ1F+EYz0uFlUzxmTZvmHqjN/2nopw18bVn2oiCwQjhsuBeJ1+F1lUKhR5tUfrhG6U7AIA3TPIdunpE91m2x4jWnMKYR1RR4RyhrnHmstfQxhslUhF9WL4DAHiwRSqCS9vk9eBe/QoAoHn/WzOVQepAUTRZOVY2XSKvK+c6+VNEV8mo9Hjbw9EW+U2slMgP4laGvLQuG6RIy3f605ln2yacFp1cs8FGrjukIvIfUxRXlE0nu/S7HB0FOGRz30P2XKlz1chZzMHiJbQ67NERdWCatF07S4+Ehks/kFum55zVEh3veok2tukeYd06BABkLPaP4gi47XOkWkxg2fDVsBxESyo8iYIgVghoe3GxGOkLuUSep3GdUWCPvbWb9MUGmYfXtkMcbFPd4JbJY6nokDqjaNJ9XjDoXiuAnsUsRHGdKgoni+9zk6eWKEI/PMTT9w4BAO/doRvxD3Yn808CgAOflj3m7TZF8cSSyZCVTqZ5iDWpPxyartjkMxTX++U0L6fRDUlo0PdXoxbeLFL9/lGJ6tCnm+TpdGmbk0Fw/X5RFU6j6CqcOK29Kx5OPd5NIE8kttBCwBk2RH3qZen371U2AUBg+10PJ1vUoP1q5F6lU1LhFHWoTGGKwTgAdEITZoaVdwEnCHH6lU6WKGPFPNxxYLBCKrK4y0Km3J5IEq+0KyiZqOJ5ZFQ9eJYet6pwUhRFURRFURRFURRFURaKKpxmIE3hschU10o6F72HWn2aTp+0+1DPt3JepF57E7YVvfXdMFXsJHXiuCi/U74J4zJ5YYiHiLlKGdRez5JXxq0OqXBWGt0Y1TAPp9NmnDoq0zHwco4UAq9x+R+svQAAOLhCkfDNa5TS2HmfPvvHtyfev+mU4KxShhq7fIWmGy/Td9doP52r5B11dIWUQ09v3I/P6XaW0ntfsaiMaxGd8ypnpys1OfNPw4B9wpHiXfbS2iGlQ/MpKR1q+3QtHR3RcnvHAXZI/IR92jXY/gkN9swQhVMQ0T+WEcJmWUQ2T9u12LMpx6nO82t0Ha+t0fxqsY2qTeV2Tb6++ILI1jhiekJ+MaHXGDyJCaZJKz8862tX9TpxW6vtxYWn11M1VjqcsYfTJNetqCHtMnk4mVXKABqsUHaxw0v76KyRwmk9S/XthkNeTuLdVAHd3MWIbu5sj2pWBEJGQgLqcB1x+AdP8ZNPqJzTKJuSSP3xsCX1iehK6P43zTYcTqu5UqS6IFugV81KhhUwXNhmj5dTOCZbXcAKp5wHvMD1u3g5PVx/EQBweJWUrBvXqH7OrLwGAGgffDjVMS4LvXVRrLxMejjF3k39Cif0KJwkK13gyLTDU7o2AtuPP4uyKbTFw4mvsZQGPxKJkSiceBmzw9lNE8uboYlOYPJhcFl8UTYNyVZnWQB7gHXPRb9/VdQzX76bVE1rmO65KSHP653QMLvnST2cFEVRFEVRFEVRFEVRlAuLKpxmwLDcuFf5rJRN8/TAXjRl0EUr77xctMx88/TKy3V82uOG4/vStNWTQzk3ulHJ5W1qszf+SKzI2b/yPgDgMnsfvW1+CgC4fkQR0Qz78/QGO81xpkoLJhzi9SHKp8AErtaovF+qUvnfK1Gke+cyKZvWr1BEPHvjZwEA/o/HK5ykvnNWX0Fm+8sAAHODlGGS3c/bZA+sbVIK7V0mNZO/cQ+Xi/cAAJusWtjEAQCg2qH6tMKKpAKryLIngHnCfhosV/IPaNnWEc1v1ChKLL5NO3WAE9jhSXv07yIKBcuIkGWPj+IhK50qtB+X92sfUL1dqFNUtNDpoOCwGsqgMpgeHXvmiKPdJwd9+zMsN47O983D+fla9mGph5NyeojPm1mm7I6oVgEAjXWqz2qru3CzlI1uzSV14JZFSqc1gxRD1YgUTmV+BssGITos/pBqOOL6Uerl6Ef7AIDbH9Xxu08WX1d365muYrJwnxVYVTqewirVnfkcFbbjimIlGKtYDeLv2evHiHCjRsf/ZoW8nN6v3AEA7F0mhenaVVKuZm/8HICLq3ASDNMdfN6OVT5Sb4m/EWdys4zYu0naTMlK17Fl2lU2AUDgtmKFE5LZ6YwUpZP8eKxACodktAs4e52fMWHwDypefxGXN/ZwEqWbaXanvEys5jITz1NyLnpfx6Uej5WvSUXs8/WeuQyowklRFEVRFEVRFEVRFEVZKMsbdr3gzBKxs4s0tttwi7ECRBQhYZOiFEFzt2/+NCQz65huCYZbpC+5vEGTIitBa4+PY/JeYNm+XeAx6rJtAKFX6yt/6J/0rZummrGylL3Dyq33bU/ObeidxOUMveOJy7nMqM/TdKRlsFOUZWHR16Vsz1khpY4lfiCcqSb0GugcUOYe/4D8LYZmcOQ2xnr1q7jzFqluyjf+AADwPyn8/wAAv/iU6msrothU24niadum/9kaCHn2YsjwtMBeRC5/NnoCo8mMShIo9V3OrFaghWvZMP7O4R3FWZmCbsQbAMyItxkCG8cUEf2T3hPa3qVvAgD+q8ukRDpir4/Va5RVDj9OPUV9SLvmVG/C2iKFFLYpC52/Tuqe2jqd6+M1Uvd4ZWq384VdbGWoLFsmtVmiVij5FA3OeZydrklTux7COObI8xG1C94xbb/VoHVOGv0Z6fZb45VNSe41DXghn0OD9pfL00nPX6XPNiutsg1ql4pehGyOyuKFdB3ljlYBABaXLfKGPzssc+YgbUsuBvKMRFmjE7+ZKJwTz+Hncb1JOc0sqUjNQpXKUikAAGqrVA/4lR1sZKi+WLWp/qiY9NxcBmep47o8z5nh8p0orvdaWZqXabMKlbPIHb9H9c3dnRCiElokGa6fWbwEywRabfZo2qPzndvnDHZtzpZmUzn2SyF8i5aV5JbSnoQG/ePHylX+bBgIDHp1fTmgOvWVPClZv8VeesesOK1ceZ1W/sH8xzkOO0eeXPkXfgkA4Fx7BwBgFEoAgKhO7zz+PSpM4/NfQ6e507cNc4Lnfmm3xa+s6+XEJ9ChcxM6XYXTUO+mgYx0QVfZZPUrncCqJaNH4RRJ4xzyOg4p2yqXKCPrFvsVigr2UWsbu7usMv6UM7q2qfy2bCqZrc7q8W+y+r2c4FC760h7XCp3PawOD+kYH34MAGjd/R0q4xx1gNzL7sorsMtXaZ5Dz17iG9c5ILW0d/Dx3Puble57ZL/KK64XzW727u50ch/FWVGFk6IoiqIoiqIoiqIoirJQVOE0A7NEwNJ6DZPRanuF/CDMwmp3jGrIPdLH1JOfjF4nlULp5e32ytJ+aHyzVdqC4ea4fNzTzfvxD+/QdP/jsfuJI7/JqHthNV4map3wcVCPt7dLXiGd+sOB7bmcWcJZeZG3R1FkI0uRAgR0TsLW8cD56NQfDC2ncvGZRQGmEWvlvDEsJ67LZ0H8P7K3fp4+X6M6Mtqk+VGW2gu71YHziDL4uPc+AAA0PvlVAF3VqulQPVp8568AAPa/VoDxzj8AAPzvyv81AOBnv6D7rFDvf0Ro5iiS2XYinLgcWedo9REFG7HOqptcW1RM7ElUN+C0WEkjp4KVNT4rarxsf/aig3yENmevcXjZNc7CJgqnjV0qIydGgtkB/CyrrFaoLL/s3qGybv9dAMB/8+YWAGDl47dp3Rt/HI2738QoRGFrljeBSpWKX6J6yCvRfppF8jXycpyZLUftXsk5wppFqoVLBqkYchwRzXLap1ybFWGscDIbHYRHrDyu0bJt9qZq8jmuNWl6zI8XhzNaSooqqvGEypLP0H5LG6SwyLxK6gyLt5/tdJUSjQ6dF7fdXycb7gVS6YadrlJAea6YJ6I/ybpS35q5KgDAyJcBAH6R1BqtIlVoVraGokP3W9XizJWgz7mI7sdsSEqRLKuXMp2uolQQlajzmMp2+IhUJ1/Upjq0AUTJVGWVK9syYY0EHqjkqRylvIVimY4tW6VnL7PIWcvKVFfvV6ke+7Tq4IFVAQC0QcsE4PMCWrfDn2UaRFb3u4jmFQ2qb1er9D6wd5mUTtUb9E5VfOHPoPb5P5/r+EeRXf8yij//VwEAh9+4BAC4//pHVN4CKV6sehUAcPWDP09l++1voPZbfwsA0Nr94fQ7TWapi32OJGMcEFri4ZScsgo19lziqe13lU3s7xQrmoxBhRMMbtsL9Gzxp9Z/DQDwyz4dz8t70rbRtfGkGuC3X6K292+v0vMHfv9P0e5aZT4M9h5jRZsBDGSpM8v0bhm9SL/vk9eo3T3YeoLApes9z4rb7U/+OACg8F16/218l551wv3x786CjLbJ3aDnL+fWu8AmebFFeVZatuh8uU/o+cu58wMAQPPzbyJo7Y7c/ly+uBdoVIx2OJ0DyY4mZ/stAIC1QTJ/VKuxLBItlqIeUSVmZst92/J2fwJg9BA76WhyLpGE0d6iz0Z1FcjyWwKnV7WOKM2z+ZReZES+2X76vYHGVW5Cd/0NPg7avrlKHUQolboLN6hBMPcu8TngypL6t+KOJ7twGe4mvQQ4W69xOUmqijy3bCzftOr1uFMrToXJZRx3gy8rF6HSUBRlQubs7JT6IO5o+vJPAwAOX6cHsJ2rjwEAPndwZOolbNyjB7rye/Qgn+NgQuMTGibnrNDDuPHVrwEA7n/9N/A3V/6fAICvPqGHtbUdqk9zByKn506fNdrvcT4Ej4SAzw+d8t7TiI1K6XO2Tl/kH/swH9ODYeTxw2uFX0j47aVV4pcKHiYXGgZOOE2yDCNp8/avPKH51U95OMDnJ/G28xsUSHFeojbomLf7epmk/l96gc7Fzps05GL9g3eHdjjFdXJvOmqW7Yv8vzt0gQNE/NBrsbF2zm6iaPKwGLDhL3dAZrjzzfU4XbR0xrUCRE3eXovOV4eHpDR52uBmn/uj0Aj6Xz6n5YQ7kt57TOd/fZXKX35MZbdf45fnCMiwQ6tjUiH8DB1XyG+mpiNDnhJDP5YdDVBcKCZ5ZjpPU3rT5XsmS/WxPHP7ebrHWgXqCbLtNvJcR2QNupfkHstxjvcsP/tmpMPJN+KOd9eTDn4eavwZ2Uw83aU6ZNebvm7ImMCbVa4LStyJn6X7u1igOrXAHWeZAr2zuCUb2XWqf91b9L4SvkTTw03a1uMyTX9sXcPvtr5C5WzTu0HAnUhhZKV+DkMr/j/iod5h2P852LoDAGhcoXeR7PWvAafQ4STD6Io//1fxyV+i3+bWu/85AOA/zVDny5ZPHYqPHRpC+fdepiF3n1z9y3gZ1EnV+Rf/CR3HEGsQw8r0DH0aUo9KpwwPRYusrlm4dDzJEDrpYOobSidT/m5YR5PRMzbeduk6/Qsb/wQA8B88ok62175J2639JgkAWoe03DsvVfDlP0PHsf2z/zcAwP/+K3ReSgd/GgDgNPqPg0zD6X+D2xT/TXpX/uRnaH/VF34XAPCLpe9jzTwEAHzm07DKb7/0Ddrfyh8FAKyF/w4A4OS3af+h1+14Sg4rk89xR9M7vwAAqL9Zwc416mRrFekZLFuj+3zjHg21K3BSAACof/Tf9W33rJjEcuQs3zl1SJ2iKIqiKIqiKIqiKIqyUFThNCtzpLmW4REyhC5WNl2myHRQdBCxrNAIKFJg5XnK27DrbO5dp97VtKFpIuUVc7NY2XSZPkeVfM9+qCfcSO6ndRzvxz/uTx1tFyl6YK9RKlJzk44HGyx3zPScI5+HI3B0x5ahgs1DAN1eZrt8A/YaDfkztqiHOlphVZfTL6s02iVYIiP1W1xOkkxdBIXTWZi0PfcscTp65flEhi9PQjys+CapSPffpBjR/bdJsm6VSb5t8VinVuDgzhq1IzfxZQBA+ehLAIBsnepE+xK1A/fepSFeX9v6FgKOPYmBqwydEpPXkB1hZbhGx+oOpTvh6Flg9EfQ8yWq46sHtK7RDuIhYqJwsnJscMqqGBmyV+MhdSeOhWOuJ1uSajlP23hRAq1Pqe73vqC2KvRCZC0pS4/KFkCTjVYPOjRE7PFLNGR848ZLcH5I7U6ynYvrZ44WRoEP+DzcIOiPICfTQls8zZsNZEHru6DzIkMEZUhMnpVg7i7v52ED3mOKjkuE2PfYdJdPBfuNo9mfhXpu7vGwvkc7VNYrD0iF4TYpop9rGyiB1E8Fm77bzdDvEJu+OoOR0zgZymKLOzPT3IvKcmFY2aHfLdPvKuoCs0QKHhkGfbBN9ZW3RiqQrewOChbd71JXxCrCiFX9XGeIutQJDLCoMlY65Y94eOzHhwCAYx5++1YV4NwD4GoEXH3BZekBj3zDCp/ay6smtrbpQ2GdjsMt8QiNVZovw+VM/oyyg5CH0tU3qH5/fJkKeXuNpj/K0XCk32x8HZ8+/DoAILdLoyscj5WRAZuf83m0WTJrhiaMoF8rYcp3gdn3ub7Kw6uuvYAMW3W0Dz7EohCD8MNvXIqVTf9Z6x8CAF79gM5Bpk7np12gk//2Lfr+r78LHN7/j2k7H9J2ah/+g77tj1KfdJWj1tBlosRQOiG0gsRy/NkIYnPwYcqmXoXTyxWyRvkzNRq+/9o/o2N8/78k5dGH9+n3lutt64d1vPkRjX3/s1kayfLtr/1TAMA/v/EOAODm/rWhxyPvyF98md53t1/5dQDAf5inc3q9VQOLjXHoks3Km5c/AwD8na/RtVh+REPssrf/MACg8fn/MHR38eigF0kNXn+TVIp3vvwhglUqg8UqseMO/d61dSrjLdAzW+HwHbhP3wMAtHcnyE5yiki9aKSI5KQ+VdNwRVEURVEURVEURVEU5cKg4f9Z6B0PGUxvBBunR+WIB3isZ8CRgk7eQCT+b3FKaU6t2qBlzTJFCMw9Ug6hnrIfGTteIK8lo0TrRiVSMQVZEyH3dBqBpKLk/bQpCmMd8n5yqwBHfgfSvJbX+Th4vHaezf8y3Yi3HIcVUpmMQ06hzEaKdpGMxq3iBswqn5dKibfXTfPZi2U5MCvU42weUhmsApXXOFD10Gmz1GZ1cl9atnpyKBcWe4XUrxIV37tMUTWnSskXihlSKeUsUps0gxzEBWLnGns5bZIqxd6haJ35Fnlm+BlSPH1v96dRvETeIdsVSh2cu0aRsHX25RDl0RcbdF/dLWbwwKL6/wloWo+oXclyxO8NNnAFSL36ejOLvBiBcqS+vUl1x70XKJp6d5X2cydHdf8DYw17EdXxYhT7SuYeAODKNqlZyzepDXT2KZptuBaMF2j9/Su0n9trtN0fRqQY++IJqb5u/Yj8E9E+RO6FP0bn5Qf9CichaJKqODx+AnOf28UK77vF0fiwP4Yn0WDb6MSpoUVNlu/Qd6vHbHz7mCPId0kx1P7iGHX2Tqrt0+9xckLbaPt0XBI5bvcHsOdGlA8Pj+if2kMqx8YB/bZO4MCN6Fpw2WQ2ZJPZ8IJYNSnKKEb5ok6CPBc5668CAMwrNwEAh7foZt2/dgcAUCpTXX4l+xAv2VS3XTaobi5G7AXHCidRb7A1D8wQMEOpU2le7gErPtdJsfBTX6fn8saBD4+94NgKCiHXww5LnGSaX6GbuPhCBc5LVP9GrFrqVOg7r8iJHnLsRcXTej7EYYH2s8s+VZ9mqI34TkCeed9n1e3e/Xfx0ndJ6VL4gp/ZTupSOKTSq14LhiwTJiSfQYDcC78IAGh/d3EKJ+faOwDIIFw8m0TZVP6Un4+PqbyZMp23V0HXxV9659fwN17/twAAb/J2kFA4TYV4N5liut39KrLSlU6igELPfCPh4ZRUNplm99y+mSEV0Ruf0THv/iophr9/h37LD47739keNyLkMtSWfO236Br/+XdJ/fP3L93jsiYUTlb3QDxW2dUufw4A+IsFel55uUbPGJdOzPhQinkqg1+m7b6x8V0AwBNWK12+RM8C+BxDkQRb2KD3S/FtClYfolig8scehiGXjdfduUbPCIXbl+LtzKNwkvpIVMIXEVU4KYqiKIqiKIqiKIqiKAtFFU7nQJxtQNIGZ9jXQNJB9mQXMJK91Zwdx3AomjxKvRHvR5Z1OZObw5kdnP5e8P792Lwuj6fu6VWV/023wMtm+tYRJVLUM7Q4ChOpLmW7Tj5R1jzg8Plgz6be8zJQVsnm52T7t6P+SIqiXHS4XgvyVPl5BYrkOSZnL2Jlk6hMAKDOBkxtXjbMk9eekadIdfg+RdleBEWWd/b+GH7zK9RGdC5TffpHr3wPALB9ibbRYC+07xrkg/Ge9xLuHt8EADTZn89rU3sgkdHtMimFfmGFopB/4ssf4sa1/gbnYZXK+l1Wpn4vIDXARzXKpLfb3ILvU9lCn+p0SX3dufSPaCNfJYXACyu0jcABHm/Rdn/CWZH+vyZl9/sfHv8yLfu7PwMAKP4GRWRPvv13Un0QewlaFN309z6G4VK7ZZfonLoVUuU6bW4bO9zWcoPaiew425LFkeJKm8pW3eX5uxTZ77BSyz/20a5RNLnVoGm9yR5XLVpXAvxBNF92umE8YLHB/hNqR9fv0PVQeXMDhSv9PjmRmVAVjPAWUZRnHad8EwBgb1Bd1rnO3k1b5LsalfYBANfzVJ99yf0Ir0Tk51TucJY6VvlkJSsdT61w+P1++ArVk+418lQtH9B9Wd1vw6iT6kM89OLsX+zRF7GitbNG2zjYjnBYpmWP81SWI06reeTSOnV+HzgyqZ5+iioehFQf3vXIl+nzHToHrV06Jxu36fNb7xUQ/s5vAABOPvlVAF2PJTOhnA/5Wd60MvH/541RICVtULgdZ6MTzyZRNkXsWyi/WKZObfqWX0dQOOTt3DqjEhOROUQZNmz+ENYM8mMS37BHT+lY94f8PAe+EXuK+ewLWPFIgWfmav0Lm4PXeIe9Ha0sLXsZ1CbnuSnKtY1Y8dfhV8M8j3a44tB9dy9Pz0zIFsYen7yfRnn2keSMdJbtxcomeQYTBXOTFd6tImfNza7G23neUYWToiiKoiiKoiiKoiiKslBU4XQORJLtxuMxvm3uAQ8kO4MBE/3jsuPEAJwdJ/K5lzYYPs483o8s67FDvc9jcX2rx8MpuR+OhPhUxt7x7PJ/6HH4k5eRdUyfo7s9PdRxFjweMx5v128kytoAfD4fnIJHMlIYiR5vI+zuU7LUxdtZkgiIoijKzHC9ZrHCxa1TRLXDFXeTs5gKzSCHIKDvsrys2WBvnQZFI+MMTi2qKy3fRdSmCNxRQOsc27TdCkfvJHp9yB58B50VNDgy6TU5i6jPWU5YYVXvkPJpL6zSuq6DSoH2KR4kJ6xiPQJFG/c4e9yxT8ohr11A1GLfv5CWrbVpmacR+QAe50iZ1Cyx6seO0ORI6IHF5e7weWMVlttgv4tWnc/JeL8WaVP8ozvxPCNL23XydP6KFdr+ySpN2x1q09uhixp7XEmWumKLypA5ot82qnHm1hqdv06rE2ela7Eaqi0/HU/Fw8kyJO/bYpVODfZ2lP377ClV2gFWuTB5k+bJ7xMTLDh1nqJcEKzsOuwyedGYnG25ts5qxQIrO0pUb305Q4qet8IvsMrPvqJokkyWIjzJduh+tCe4tWS0gl+i+9JBBqako+tWHACAMEvLBEV6JWxQFYt2JkI4RJYQGP1fdFL0C6LqDHlqciYvySYHP1iqjILTEtVJxWLVq3jscJ3P2ejEs0lq5Kgs2eroN33sFGDVq33bOSuMYT/qsPlDEH/FRoWu5col+n1XM3QdP0m8hq04Ecp59gu7Qs8HopQLm8VEWQZzmdptOptBi5Z9CFINNhxSOjUzEUxer+HSNd7gUS8PfPK0dBv8zNR6PPb45P3UaNCBZGv8fNRxY88mQT4HfI0XeFmj5cfbed5RhZOiKIqiKIqiKIqiKIqyUFThNAu90VBr+lMYtiizUHjyFABgHlIWISuf5SWc2LdIlEHmCXcVHx3SuseUoSf0EuNee/fjsYdHndz0oxNa1zih3mHLzHez4IkCqcHHts9u/LKf5n68XYn0xsdxTNu3OFOcKf5PQc+5YbUSjnhc6wltL2hSmTo16iE3s6sID/m8lHhsr8lTpz+CarQ7wBFF7cMTKkNQf9JXRuX0WMrsdELvfTmBekFRlpHOwRcAgMwTqo/XHpJP0f018mU6LrOPBquKgsBBcEiRvI17tCyeUCSv85T8isRPwNrdAQCUntxC8QlF4T+sUNa2yirV03s21cuiUvpJkzyc7u29DuuAtr+yyxnbODra5Aj+IX/+HqukiqUGdqt0PBYo+ngf1Gb80KcMeh8fUxYj8frIHWwgf0z1f+CQAqjWoMjh75XeBQDcKpGHU+sWtSlOGOFhjuqm34+ovO/X3gAAlL8gj6jMI/ZJOiTPlKBF7cckhP5JnG3GcKgtzRbo/BTztP0VzkD7cI3O/VGxilaGvVVAbWGOo7UGqxkgvircFkdBhCgR5Q1Sor4AkOHQYWPBoiKXpWi2+CiyaZR94KHCTWyhSCoxUTiZF1ewoCgx4lU6S7Y60y3F2aFRojrCz9CN4RcPAQDrGXrOfcmgOmjV85D3xbOJt5O43eWzxZ5todn1e01mJwucftVjWLFg53i0QMKqx8/SMr5knOPsch27q3AS2yiZBrxdz6D7vg1S8NSjHFoRnbtGSG2N+PA5Lfqcq7Hn6u4egmOqv8UjL+ndtMz4934AALj6wZ/H33v5lwAAb9/6hwC62ejEs0mUTR/douvp77X/LK5+8Cpv5x/NXxium2UUSe9vLKNEBrKoxj8uTy0gkv9FwZaQpfQmD3yvTV5c79/4IQDg536ZfMO+8sVHAIDcfbqQRVC3VTLwwst0DTR+nu6P37Kojc4/vcZlTT8uAHB36dwVH74AAPj1zT8CAHixQNdQ26rFmRwPXXoH+DFnvXv/4VcBAK9/RqqsztPPMI7OAflQujv0fLBx7yoAoL56Oc5GZ7FnkyibzPj5i9RXeHI/3s48XOTsdIIqnBRFURRFURRFURRFUZSFogqnWWHn+1kUTkGTevI7B5SdQnwgRL9jVavd7GutfmVT8JQz9Bw/5G0Nj8yG/gkve5/285h6dqXERmMVRpZVVeK3kNwPlzEtg0+nRr3K1t7ntD2XohimeDCVSt2FGzSGNdzrj7Z3ju8mynoX1h4pvhzJZNeiz2CfjLiLvV5HsEMRc3/3Uy7T6ExDy4SqsM4AuU8VZUkwLGfiZf0DisLZd94HAKxWKNuaGX4ZALBzlepTP0f1a7ZeipVN5fdIWdS58yMAQOvhdwAAzgpFJc2nFIFzPs7hRngZAHDfp+xt37pKUTqrwCpWVqta+7Tclc9eQOkptR3OPnsDcmTVXyEDkMOrFMHcO6Bt/f2115ApUttnc1a9tke+F50alaVynyKXV+/QutkDwNxnn6UKtSeNTdr+gzbt//946yYA4IUyRVULbgM7LVr//uFLAIDiZ18CANz4Azo30acUkfUefR/zIO1X5ym1gc4qKZsK+9yG1aoAgNZaDq2I2jPPlJaezxsrmkTZ1Iv4FpoSgI4/07JiycJJpnCwYHXRDbbVyLHvhmFJRDxCxqf/bfSHpE2/36exl1nUIqfJNPeislxEQWvod8vwu5qcyTK+eZmI676KTc+8xZD9YToRHL6VYiXTiGx0gs8P9DYrJQ3+bMi6rHQKLQOhzWonri8is+t7B5CiCQA6Fs83gYD94Xxex2O1o8/KpqZByos2aNqCi6OAVKnHHmdGbdC0eEh1d+k+e/Hc+zhu40LveOyxLhuNz38NAFD97W/gk6t/GQDw10l4i7/0Dn0n2evE4+nvtf8sAOD29/4yXv5tUrkd8naSxO8ITinlO/bz5Xe3tCtFFExJZZMZsGdXvBxnKYys7vsVG4dFIjBKkad8ckTK4X++ScrkS/82tcFv5Gj+9d8k9V7rkI6j/FIF0Z8hxdE/+ikq8T95+ucAAFfuXk45ggQP6Xnn+g+v0/4LvwgA+C9eoHfPr5W+jzXzEADwmU/7+fbDb9D2v/OzAADnx6Q2Orn/e2N35x3Qe6rzGT07Ffid9iZew841auMlG514NomyqfAhaaD8Oz+It3PejKoXR9Wni0I7nM4BMSj1Dz7tn9+iC9fcXwVM/mlCNhLloW3SAeQffELrTPAAl7zYxcDMOtyKO4mk8pKhev7hHZruf8zfDz48yjAEb/f9vuOyeBtmYXXg2EQ+K+tIR5Zsv1N/COMJDVeIPCknp/XmjjnpRAhbxwPnY5qhEcuInIelHq6mKMpkzDmcU+qD1u3fAgDIoOvqPsnQK5vUmRNleRhzqwPjET2UBfc+AAA0P/91AN1OfakrBbu+B/uIpP0371Ma63DzD9Gyxf7kFSJpx84+widU9wb1ffRiV6m+3tigB8iNCk2j/E10uOMiTDz3ODUeOr7LQ64f04NruH8fPrcD8gJX2HoRAPDKe1UAQOfqvw0AqG3+MgDgONOB06bz8eo+7ci9zR1nd3+fzsmnlIrbO/gI89CX7AIAWvTQ5jTovDlNKnPbL6DOw0sksiTpm402t2dNnvLQujCMYPMLouvQNJfhlz3unLJkeAu/oOb9KDb6nod1lzZ4rUrbyhe50DK0zjHR4Vlt7kiz2zQ123yxSGKQ+MXogoy10yHYF4pJAncGGwefVZAvCtoI5fm1QR3/TpuTK0T91hCBwZ0vKbdtwB1Ccd8RL+Rzh1BvHh2PR9xIvQK+h+2O1OERgsQbnwy/k46mQDqV3G7HU5s7rHzeWchdGzIsWpCO5yy690+tRR1M+R1qAzY/Zjfyj6kNan/xbXgHHw4e+AWh06Rh6bXf+lt4GX8VAHB4/z8GAPyN1/8tAEBQOASA2CBchtG9/NtPUfutv9W3nWHDCaOg3ZMQaUg9GsqQbB5aF3SvBTFptzihU8embYiJe2TKcDwLEY9pk6F1MrIurePJ9+j98R/u/I8AAPUt6jj75X+XAjov//FbALrDxz+vBvjtKr0X/u39vwIAKH//5wAAdisx3FOG0oVh/L8EMaTT6PUGBc+evkZD3X596+cRuNQG549oPy99Qs9I2e+SOKHx/X9Mm/UGjdqT9YN8bt79rb75haN3Udjk4FWe9mNIJo8nJPDw7/yA1v38m+cmLpB6bxRnWTYdUqcoiqIoiqIoiqIoiqIsFFU4zcAkKZSTGFYmpfeUtiNqHzG8NtzigGGhmHbLELpppOmyX1E6yZA+0y3BcFkzz2WR78TAb5LeT1EpyTr28WXefjfNpZibS/kl2p6GRDxkWetgvW97ct5C7yTe50WU4yrTM4vya5b7VVEWSRT4MJzczOtLvdz46J8DAJynVEdaZalrST0TeI0B1WeyrpXP3u5PaJ36Y/h71DaYn67w9kj+b2YrXACK3nkhm5PXdrrDoTlSaLo8NDxHknLzdv+2eiOzBpfXMDniytsVVWvn+B5Ne4ZIWzluBx5R9NTKrvQdV4HLauYqsUI4rHO6ZB6CvmglrJzLkJNfRA1qh+waRYnF8HzPG/ztxey3T6bQg2ka8ZC6TJZig6Wwf5Wmx8qEiKZVfz7jcFE2vcbi5LUqp1TP09Qq0u8VlB3s5uk32/Hpd8nVqX2WFNKhd4GGjJs2Ir953qVQzgF5ppgl0j9s3dA76SbreULDinL7VF/JMFu5b/a43tywm3B4WPLw7PSsbJLRt9bgsiYPiRJlk6iYkkbhvd/JEDpRNomqqelGYLEo/CFlEqVTi4fUHUYlHHXomIJjGmK89TkpZ50P6Vx4n/0b2s+T7w470JGIEihcEluK1u4P0fkX/wkAIP8hmYe/ee0dAIBRIJVPVGeFMRuEH37+a7GyaSakPeVRMLEtSihqpa6yyQyTU4uXMfunna70WC4xUT/FQ0Oj7oUkKqjmCf3O/7hOwwp/o0Kqpa0q266waupRaxv7n9Iw9/VP3wQAlA44iVUygVVvgoywv1ELj+l9OPp9up42P6Pra7NUARw26z88pNPy8JsAgPrd36F1U5RN45Dnhfqn9Pzl7n0Mu0yqKknCEvEzjBiEy/v2ZArM2Ue0XKTRMKpwUhRFURRFURRFURRFURaKKpxOie6Y8cnVFaMMrxdhttnrkwQAqM+9ydTt+8fTp4BM66WVXmWJIj8PJtsXqbd6GZhkjLKinBeLVtclVbHRk9lNr6VN6dQfTtwWjKqD48QPKQkmFkGs1JqhfTkt5HyELfaIqh8CAKwTUstI9HavUUUn4d1S5xTk3gbVYe4jTqu8T49lTsFByFFeCS477BKey1OUudmgacgR4FYnitVOT9qTeTmtOBFWudnZJDEaNiq0H/FuylZpAWuLFjjYAD7NVQEAj5+QOes2HytapGYepRhaZtXpMpdN6SL3XhR4g7+ZmOPK8wF/P4+aaRpC/yQ2wxY1p8sJBTa3KXX8vfVXAAA/ypLqsuQ2ccmgitiJ+uVILqs+JN+A1SP+yHQGkw0AgM1vdw5/b6YYkIvKUozHRekkCqeGG6HBPnKxWTjLKwPWKwQJ3UInsnDkV6kMDVI65Q7Yu4+TBvkHlGRhZHvC3w3zNVo2RK10/N6v0AyZTsEkxyzttihqYuWwqIB8UjyZfhSrhix2fLf4h7Zsuj9Ck/2axCDcDBGFYkLO77CRKKfMvmV754kvmeGTy+Txw7cAAHXvpwAANif4cLwM1huk9s02uE0RZZMIqXxJosEzgh51U5CQ7/rk1+R/wb6/rSOEHt1DIZu1Rzy6ZhH1ulyv7d0fo73747m3d1oMvEdKPdhjGt71BJPp6b9fq8JJURRFURRFURRFURRFWSiqcJqBKPDicbOS5e20SXo6TbXuGUV1FsVFK++szDtuN5nRbliGuyhop86bZ98zr2uejSJJ0n9Gfksj1sq5EV97QQc4/0zdc/O81M3TIh5bkuXV2iePidw+pW+2GyW0Qzp3ogg4ylIE92iDIrprL5Lfk2txRqFcDfY+RXBDnyPQrHTw6xTVNp7Q71DlqHDQ43VhcTrzE7b4kOx1ktHucpb+2cgBVX6MqRZo39UKPRqWNqjM2WukXgpv0vTTax7+dfCHaXtPyaOksMMXeIMz9gXiLSKReG8gA9xS1c1c3qUqk3JhiZWeVCXEXi9r2T9K3zt0/3yTFSOtzQzedSizaBmkDiyGdH9nLbo2rYTyyYyAAqtUYrUSq5QyrBzpSCpLRJLpPhamyDQw+pVN4tvUsA20uD4SZVOL/fE8g1QtbW7YxMOpFWXQCqhCMdgrSFQronqU+nIaen2bLorqaVFEoTfY5oqyKa63+J2UVUBGEMHyxbOJfjubFU6BQ9NInpN7VEvi5xRyJrtYXivyujSPQPGG4qx3JntBydTiqdPOxGWwOM2pwe2SKRaP4t0U9mapE5VVp3+aPBd985JtTVcRqZwPqnBSFEVRFEVRFEVRFEVRFooqnGYgLbprWM9A+HrJuejR9VHKoHGqoTRlUHLeMPXQrKqii3ie0+7Di3gcyrNB6rU3YVvRr2JM9wScpE6cRx07SdmUbobWDmfDsw7Jz8PZJd+W4v46nrbp/5Mc+Vk0HPKW2K9S9Na+yqoih3xP7BUX1gH7K9RYJdSkyK69QyqiQJRPPRl9LI5WZ22aV+efvdmRjHb0WfyatqsmKsV+z6biKl0zhRucefBLlHnwky/Rtn+zehm/t/MzAICVB+ThZB9xGev9WYDEa2QU01xLw9rKXj+/iVW42l5ceKKgHfvYTHKtnQZp9XDS0zT8nO8LLuum/0cBALnaLwIA/vWXNvHB1e8BAL5WIm++GyZl+SqAlI4Wy0tszgxXjFoIDdpPwPe9b4pKiaaO+D9FgMVKl4CXEVsnFpnEiqcWq6JalomWRXVCy6D6qcmZRRusaKqD6rN6RKqmvc4Kmm1Wa7bpvBgtqrfCFmf1HJGlWnjeVExp9I5a6KqlxXMnkaXO52vP5/l+AJMVTk6LfkNRwYmXU8jXTGj2K+f6ymBaic9diZORyHYnCif57Ih3U1v8mmzY4iflia9UIjudz9vv9XBKZKmL7/eEsikK/IF541jkc9G0nJdnbxT6Pefw7No7VTgpiqIoiqIoiqIoiqIoC0UVTjNAWTHYQyHxXRxNjrNiDEamZ8lgtwgugkJolN/QRcvgNjwS2z+/V4E0SfR2HqJEtpbu/OW9JtKOPTlvmIqLIh46Zls5H+JrL+zAsKzRCysXljgD7PFdAIC9dxkAYO5uAQBWHm3j9jEpgW5X6LvrLmW2q2QpQp0rsfcGR41z2RycEnthHNJ1ZNY5ms0KhELQVTYBgGH6sC3aTi7Dmeza7O0SiM8TLbtWonhjuWRhhTPlFS+Tz0zmOimbzNeqAICdN6gcf7BNZfunjT8O/+FrfGykZjCODulccOagpM/GtJHns8SwLEShejhdREYpFOLn8bMqzAgk63L70ff65peDbwAAXmx9CV9wVrdvXl8HAFwp3QEAbDikmKyapAzatEhRuWkcIGCPJc+g85BlBYpkunN7FU6SAMzg7GX82eTMluLT5PdkpPMN2T7d+ycgJdMRSCJ5FJGv2+MOlflRaxudGiki1/dWAQDGwTHt95gUW6F3PPJc9TIqc1uvr9PzQjK7WOiR2tXw+D2JFU6GH8D02UOJlU6iLopaw1XWok4KElnpusomp2fZhMIpYNVSj2cT7d/m/dtw2lKmfu+mgex0sVLLj/2pkJzKORmhbNT6fPQol7NUeGmH0wz0SnhjdEjdQrhonUpJess/rGNpYL7lps4b9TmVRArgXoZVut35Jf7cNdYb1kF5nhLUsSTuQ+pwen4eRpTlons/ddsLg4ckxMb24fD7dloMKxPXFcM6lUPvhPc7/kVNtmG6Jf7crYe6D7wnfduP0zYnAgWmUxoo27B6rTdVb7K8yfvZdKRs3W0mt5+s/5IGolHQnmiYxzhkaJ1/eIfK9ngTAFD84hIKX7wKAPhW9acBANfL5Caczz8FADhB/7CGyLSQZYNeJ8fmu21axnLpAV/OnsEviJbTRCZL11qhQS8I7Rat00n4rObytI3SihN3NGVfqtKXL1Mn0uEtukY/uUrn6bsGHcO9oxdRfXSFtrPLLwonch1wqu3Y1LZ77Z9lCuZU4uuP70GzN0302Q8xUOYnCtoDdVnv77psiJm4eUidMeY9qiPyloVb/gsAgEc1qtNu31gBAOxW7wMANrPUYdPJUH0QmBbaBh1r2aKOh5xJ5yIX0fXsWFxn9BiOOzwE1+SuOCvioXYcQZdOppZpo8nbD3ieDKF7ElL5HwfU0XS7QckDDo6vIb9DneqrX1CnVPT4Eyr38b3JTlIPyY4m08qM7IR6FkgeXxS0ESXEDAP1azy0ju+Ftgerxeuw8bfN05CDX7Y/2BUbOLQ9M5RheFyfpwy7izuawv5gmpeja7FZ2e+b79ZLqOzQ9VI9oWsj7miSoXS+GIP3DKmL25Q0x3LAKlFgx3Bz3Xqch29KJ6d/8BlvY/7nLCu7DitHnarJZwx5XpFngWVqT6RejEJ/6PPUaaJD6hRFURRFURRFURRFUZSFogqnGYhCLz0N45yMGvK21KqSU2LY+VjGoYFpyqakSmBYdN+w3G7kNWkELpHY1GFlo6N4UUpkOe07oOf66pHrdiMpo4eATnNtyrKpJuinEa0K/Ofy3lGWA1HN9N1vp6CGFQWSlVuDmaWoeLLOCL06lcUns+pO7VFfGYGuWkiid2aWoth2mYeI5So926MoZlinoSJBnRQ7kvJa6ou4bIUtWMUN3i5tx8iKOokjb4noZNg6QlDb4e0/5v2e9B2fbN8u05A1s7AO0833bV+It5soe+f4XlxuGfoyC/HQuiMZWkdG4dYXV3DlI1IAfLLyNQDAP7nF5z3/GwAA36DjbNusTHIilFjJkGmT9CBTp8/ZkFQGFiubzBynmi66yOzTkLbcCZ3/TovTpnMkOWR1Q6ZI62TXsvEQOuMaRZ2bl+jc7qzT7/EwT58fh3RddOpVlA5oKI1xQNdT1KJzKqnPk8auS1kPW4MKp0Uo3ZQzJjZUlvE5/SrS87KxSCNZR1hPqb42s0VkMvQMdMkhFUjEw2NlAFpYYWUTv7p1XBsdVqt0eMhbhofWZQw6F2IwbiGEJWbjIZVBht2J+klUTAGbhTQNB4cG1QltHkq1F1HdfdcnheOntVcAAPWjbQBA/vENXPnoKm3/Y6qzvQc/pjLWHk58npLo0DpiQEnsc73rcb3bO7SOVUMmD1+zuR2JRgzvN1m1lDQUl2uxF4OH0IkqqrZJCrZMhX73jexO3/JH7VU8WbkOAOg4LwMANj/hZwFROImyyRPlVtBVb8nU4vZu7SVad5XuF5QK3Z012Gh/h55LzAe0TPv+t6nMzekTVbgrdK3bK7diVZWURYb5BSd07J0DShbgH905tzbFSCh6YwJ/IYr6aVGFk6IoiqIoiqIoiqIo///23vTJcezK8jwACJLu9C0iPLbMVEZkKqWWqlQldY1N2XT3zHztv3P+ghmzmS9t1mU9Zl1T1eoulUollUq5RmTsEenhO50LCGA+3HsfFoJ0kg660z3Oz8wNThDLAwi8B7x73rmE1AoVTgsgY8aLCpE6xowvO7X1KimCFmGVzMPHPZcyVdMk3xM3DTUynIu+uf/D9eKOgmKkLtvf7NdbUelUHPftruNyNDoeIom6+l3RpLA8Vrmwr3Ouz6nmdTX8vuX7UNJ/Xu/rnlxf3LWX93CqUeFkdUqwIdHlxtbHmXooXCssm/QlTp72jwrzR6fZ/w3dTtARX5HGHfEU8e9INNtbV8VQ4CPoSwQxPRGfhtE78Ujwu8WoppWxcedz+DvqtbAjyilsSl2IUB9FzL/hRFUzh/sI9sW/ZHQg0UtTatl5DDqimgruPJb979wFdnZkO62mKy+ALOp5eCjbOpSy+u1t57tkXETpZOsO9/4kZQ3X0V6X8j9u/QUA4In6Xvwfn0pZ/7et/wYA+OWOnMeP10+wsyXXzVZPItO3j2WdbfV2ajfUu6kt88PtJhpH8rs3j9Szq2dm2KJsSoeaWn1bDV3vrgHq4TR4KMqp9w9kmee3ZJ1ngfxez87kOghP7mBtX6Pk6t3kos/O2DVrS+TzsEJpe7V1c+FepIfTtUQ8VaufO6Z5X86qeprl2XuRa8bqCPOW8ZrrCFUtsR5IvfswkfoyUPPng09lundH7s8AI4xCuQ/7ejwbnihdTOlkjBCgDZl3zz8EAKylQ91O0Z9n6Ek5ztB05uAvE1Fr/mtflClP934BAGi/krJ+9Fa+v/2kjeBbUTJFX0md1n/1PwrHvAh5ZVNZ0WSfb6rSKY0HSN3IDn0OH2obqYpmU5bCkjb0+/AG0hb41v7BjMCLWhM/Vi+mlodEDb5HodTjScm7KQ3GvZyOH4iyaWf3GwDAX2/9AwDgx4G03R1ImV6lu/j7zl8BAJ6oN9Ta6b8FANzeK5mFJ+rbNBy4NsXeT4K7opJKP5HnlbOHUuaT3TMkWr61Uzn2zVeiggrb63qe1F/q6X/Jjumc68WUTc2Hv9L9f5Y9w7TbhXL7h9JG2nMYAAwPvqrczyzvPNPemQrLzVDXFfdNDydCCCGEEEIIIYQQcs2hwmkB0ngw7uFUUqKkq5sB+NoxzcvpsqOR5Z7ocoYkv5nLxNTc0GU0G0NTxxeX1ExeEGZqBI1wucirb5+Dwvf57yZSjjgjl+XBUkDruG/32aK8wzP4Uacwr+wBMyk7A3D5fh3ufFWMVWbEmlwVFmlNozN37435skXd4mdlFr8R81pqdNQrqLMLb908nIo+DV5T6pjElEHuvs4kTmVlU3DvkXxxW/aTblg95cPra/pljfBZbeSfbGv57Xv1cLrzsdtOfE/mDTQIOGqrl4hGV9v7sp+g3YZvGXVC2Y/5MNl59DfFm8G7rZ4Kd29juCvncrBRjMa2TiX7WnNdtuWHuax7zgtDI8eW1e8C/gvR8RMtaxOe+kpt4n8CAHwxEIXAyyOJlP6fj8SD6tt74jHx163f41EoGew+bso1MlIfDbXZwEZL/lnrqKfTrSZ8jWoHZ1KnB0M5B556N0E/px0518l2E707co7f35N1XqiC4vmatAFfJVK21z3xZtnY30XjVNuSOBeJBrK2JCmqZvNclpdOWV08Pt+8w2L3+980dcRNJ8kpnFydo48B48pwe2YZ/40v4g16kXWtjgAyhbbVpe34MQDgfqz1pnrlHId9t84wlX13G1K/dHy5jtt+sSyjtIGGJ/emqaF2PKnrWijeo+bXdIo1vFXftj/0fgYAePZK6q8Hf5L6a/db2W/w+hAAkL76EoNn/yjbeftPsu/uy6nnYB6SeDBR0XTTstblj8t5N/nl525pG3zzJezLb+r3O/D6+o6h2/Ohqlb3bCDth6fqVy9uIm6q75OmLEyC8Ux2xuktUUv729JO/eWmeHX97/7vAAB3VHUVpLKNh41DtNal3Ae70u4dPJC25dYTVT8fqmOZZdtLRkgjPQ+dHZl3V9r800/lON49Fj/KQSdrq08G0ib2NmQ/DyJRQ4WHch2bx5Kpj6oI2rKfxi3xXwzuytT70adI1/WeD0vncF3bX91GODxz/pCWodK40GiOaaqosfauKnu3Xj9UOBFCCCGEEEIIIYSQ6woVTgsQD4/GonZjvhzWwzhHJG8Vs6+tIvlxr5d1ziZ6NunUlAZec2NM0eTpWF7LnASN1JuqyWu2MiVTU/fja/+4ReCDUt9wXr1g47GT8bHVACQCHVuUW6PSkUUEVf2kEYR8lNrUT+b9YhH6dFj0UjHFk8wr7noepdNCvf0z9OTHw6JnDSGXRRpLJNruFQDu/r8IY35wuaxvWR1SbN5dlLMjEb9EvZz8tdvZMnqPu0jipiiCTNkUb2b3l6+RPT/SKOqmbMdXFabLltORbWC9g3RbMx6psql7W87PYF2mrTOtG2OZrp2twetr/WlKGqs3tQ60/Zof1Gi7ibPb0j73NjIlAACkgR5fpL5SfVWhDm7DP5Fopt87lO1qVBI1ZJiJjp/Ce12sq9r9PwcAfL4vqqE3x6L6+udfyHF1d9fxV2v/AgCIW09lO6pI6Dek3r61Jr9BZ1OmzciDp/KncKht08h+ecG3JqAlEdmzToL9Lamn36mllimb/uiJV8Yfe+Lb0j0Qf4rd91tO4WbRZ1M2WQZAlLLTSebTFXu2yd2Lrj2L+5OWJitIGvcz9Uf5edspn4vP48tSx19U6eQUWKoODPX5rBWIh8ydTfGr63ekHjhJAgw6cq8eN6We7DTku0Bv9MCT6TDO6p/3TVHBfhxKBq+2J+VtQJbtp5qVMt7Fs57UAW/2pQ649/WfAQDu/07VgV+KmiVSD7/huz9gePDlwufhPGZRMd1ULycgX5+aelp+76w918a13wXOip6wnr4r2NuDp95NXluznSYezLIp0HeQVBVOSYV306gh12m7JW3kjxvi5XRrJO8Om5p5LhNJRfioKe3qo/WnAIB/2TwEAMRtyYTbSEqK2Xjk3rf9tr57bMszwPGuvJv0dRuj9aytjpuq+h3JdXp2X9btqBLa1NyYpnDS97qgoypq9W1K11uI1+X8JKamVEVYA+3Csv77O247pnBalg/x2Hat3ht7Lxrm6szLa++ocCKEEEIIIYQQQgghtUKF0wKk8SAXDbMx42vTVlkJrpuCquzgXy5/Gg8uJWNdfh/Oq0m9m1wmOvVrCtq34GtvuN/e0u80Iq+98wj1eNqmeArlz/4HsqxNgWWV8Aqf4WdR6zSQ/20MscM8O+Ik8++ILROERM48lxFCFVCaeQrRMFMo9OUYLQuG81DpSsaR2M5NPJyaKeEysPsw7zt1Xa53cvPI6qrIKUC8kt+fV/JkuBB+I1M2lTyckFgmOL2v/eL+8/OcV5ypJzUTUqof0wDw7Ma3usrUmFa/2Tb1M8LQ+R3EodRHlglnpIqdQD/b92m7kSmZTLll3nTl49S6MQmBuCGFi1qlTE1aliQsrgM/WGobnsYDREdPS/NUxaAR3btt8Yc43ZGsOk/Dnlu235Zz+3lTvFA+ahwCAG6vSX3d0UhymKSItG3w02J7kHgyXwOx6GuGuwQeThpyXl77OwCA71KJNpuy6cnhzwEAW5qRau0wBM5U2erUsVrekudfdryX6+tXhV3r5XsQSRZFZ3txvZDn8RP9v5R995phyiB3PKoWbKoSb2P73wAAdrZFnXGU+BhG8t1hS543j0Ot372kME2SBpKBPHO+bsl2v1uTDKNbYVEF3oulLjwd3MLwWPwBTdn04PeqdP/mXwEAgyeSiS46kAxleU+qZXFedrqblrUuiQdj6hC7Rtz7kaqdk57+lmEbfl9HWfjFZ4HM00nrwcTaTs8pl62tt7a4Sp/ia6ZVW6Lh3gaKxDmRrWVEbPnmSVVSTuW8mwBV0OZ8aItlU1WtKq2yhxIgVYVfrN9Fbf2uWZ35uwr3PmNKWPWrTEPfKZvS0mlx72P6Luc118ZGYlwVeV/FrM6khxMhhBBCCCGEEEIIuaZQ4bQgY940LrtYMfNQnjoURi4afoEsYNdF6TSPemnZx+SiCC5CWpra/Oa6Uzb5Wzrud109TNrFXnK09LcMA6RtzRgUatS51HvuIv42njrXVZzq2GovLnl1JKZ8arj/fQ0EZFPNrBCZwkm/iEbwBiWFU1d6xC0e4Wn0zc95dXilKHadv8dMWRmCYpV22dnyCKkijU5rUcOeqyBMRpkCaFJZSiqA/D3ilAEWUTRfOFXQWCTUS+RPvjMfON1O2Q/OIu5R29UzQSTbaWhWulhVUvY5iLTu6o/GsqA55WVgWThVKarqTT8CwkGouy6er0YUuGXy6yCJnYJzWdh5NqVTWfETrks0+sEt8Ul61jnBU/3OMlHtqffKJw3xXrnTlGh2qynbihHgEBuF7VrUeaTOHQP1ZzlMNt38Uz2HxwNpq970JaPP4ZH4S62rsunOS/GQae5FwIlGSPvm5acKWMv2Zz6XuePMsoktnglsfP4FoseqkkujXsGLkFwvnK9Nqb0vqzgn59uqqRw1Pe+Y14vdL6aaD+/I/Xdr+45btt+Te3ewplnKVNFhCg9PVSjr3U1svZf6I1FVydm23MM/qCdU0hgW1zm8jU9eyr42v9Vz/I1kIut/818BAMO9PwAA4v7eBY96dmZVNOXnX3eVk+FU0+URHyUvJ6+5DqhHoV33xTcEwLORDdr+eq0G/MjeQeydwdP9jZdlXX0H99Rn8ftY2o1HgWStQ1PaBF8LcBI08QNk2TdD8VJqdjWL7Vl1O5/GUda26Dx/oCop9XwMhqo88mOYCZU/knvevAybXX036Bd9Nafds66NtuchXdeLOvCjooeT70RWerCRZfzujXk5l0fvLAv3Xqr1YP6Z7yrejdjhtCCWOtldiEH1qSynjicXJ9+5dN6wuzr2UzXPTXUonTMID9fdEDobWgI1dUxvqQGvdi7FLanIo/XUdShFbakQ4lBfEtwQE5WOamWa+AnSoFq+6sX6UqUvh37iO3NAe6GzFzJ7AWv09XtNJRr0U5de29tX03B9oczMztUsWF8wPL85lnZ4WR2B575k6H2ZDvkSQa6euPc+aytMyT2TpLv6/nEv7vqQmepDZtpczxIQBCUZemxu0fLQZMM10uFptr22vpB0D6WIJ2pGrvJw98wZ+Fnn9Jlu50SGZyQnxRcPe1gMgga8I6lfWi3txNbja53J/WwdTS0dFeCd9pCeHBW264b06vmzvndPh/Q12k209X8v7hTK0jrVeu5I2+MTfUg/3keiQ4ST/r6er3rrrPL2LFXy8PVvAWRm7pvb0k7sbj+Cncnn+vB8oMt8H4qR72ajaGh+GO2gOyp2OAVesZ2IEtlWfyC/QTJqIdWHcn8g56t1sgMAuHMiZdl+K9fBhmSfhrd3gPRM2gUbSueupwqz8KrjXxYzPcSX77145H4Pcv1IhppK3b0gWkStNHz5As/jnt889yWt7ucd68SJ3knygGBHOqPb23Lv3sImzrZln5HWqWbu7Osznz3rbb5tIjywoIAGMFvSmZS2ZYieBThdIPK0D/zwQsrySsyVBy/+h0z3fl/rsS7CPB1P1314XfkY7bxPGlrn9Y/gdeVZ3dpI1/FkyYMsoNTSdePEDZ+3oJDZd9hQsTzbb2Vfh28kIPEPnX8LANjRjsxPNTASaNDjGB38LhID/Of7Mv34lVx79p6R6vOJC5xF/cwiQ58Bgj3peN1+J9fvYF06ZPudNhJ9Lwr1XWbjQNqutXf67vT+DQAg7r4dO54y1ibEJ7KOfyidZN7mBgKYvYoG4eLcPQMgPdTnoe77sbZlljYqb3UwL5kgotzOZUEgV2deIhxSRwghhBBCCCGEEEJqhQqnBXGGWxq99ZsSeZxkBOsFzbGoyqRoy7SUrReRwa36ELrzqFIz5Q3Ey99VrVs3ZRNSv7nuTHKdKbhGD0zZNNxWZVNLetyj9ghRy4zt5Pc1E92opb3lqmyKw0wubZLpsTKpHDqb+ggiVTRpilD7bENOmi37LNNmGCDU/uigreeyb8omi6To51CVTsNurmfdojDnX6/zDJUoz5tkApuoCsLuU0KukmR4krUVnR0AueEegcmdi6m7Z9uuKHRGXZWwB6Eb4loeumf7NyWPRfjy0Teb5yJjqtz1VZ3lqfwdgZ9Jxg9/kDK8fybbOH5V2K+7Z+OR206g63YOTA1qhuYa1VTlUXq4j+TwjW7/O5lXOj+BmqQGquDyoyGaZzsAgGbLhtpqbO1Mo6eHh3IutOzx+6fuHNr5SKLl1h3lCPXonSgI/Cc7AIB77Z/DT8RI/KAnyqPTbXnOOFHTX9iwGVUmNc424Wsdb21GuZ2wdqHTleh0+7SDZl/bhZFGt4cyNUVYuK/X1IFGoQ/3x4fSOUNSU5mUFU7Dq3sGKUV8s3tPh0VEPbYV15jE3Utab7g6UL43BXrSP5D5QTP3zFh+Vq/B+mLKM/wiWJ00+uFrAED4nRxPO36M8MQSIehxWD6Evigugj2199h7ieRQ6jhn8D+WgEGtHVRlEnf3MDqWRAXRvtRPlzl0blZmUTqV5xnXTfHkjlE/m0o4UzpldZ1LAqJ4pnLWafkzwtCpmbOEGqrgKScwArD2TuY9/PYRAOClDsn8vz+StuXjzvcAgE4g7dXecBevDkTZtPP1XwIAbn+r1+1bMZ1PS0ko0jhyypz4UNR23kt5bmhrWR/2RenUvbvlEoa0T2W7669VefREnk+iN3+U6fFTnIdd66MDMcL326KWCoIA3qaqv80ixT0PibIpfqMm+odPEffl/q1jCF15G/l3ovL7kdV7RpZM6fRKrnsqnAghhBBCCCGEEEJIrVDhtCDlNKyOGXw5zmNaZOQipuGXpfpZFtM8lSYpnarWnfW4pxm7jalv7Hf3G1kKTYsUaEpr82zqb8o1M1hTE9n2EIM16c23FJ4jVTaZAaSZOaYV6T/NJK/gJA64UJc3Cl1U28z1LApu45wjVWGZ4mkUtrARyf9+y9J76vGYgsu8qvo5f4QFDFxrMdAr3XdZTz6j1uTqSaIT53HjmNBW5OuW8xSC5et7BMDvHQLIoltZunfZlkX5q5Q8o9Pifs1YMzgW5ZO/JlE9+I0xxdTo+EVhu7aNYO2O21ajq5G+N6qKbItiytRYTi1jCsX+EeJTVSF131Qec0MNrs0s1T/cdYkbXB2luO3qb5GV/Xnm13DJEXw7T05x9v45AKDxpIO7kXi2bL2VCHJv5yNZplE0cc978VmCCFPQxs1qJaypmMKBj0CFX+bdYqasnvpzmeIMZ6qWiPrj3k12TiMzY71c76Y85aQeY5Tbi+HZ0hVtZHmksRkB23N5OamPqTYyFel1SZ4D5FSQqjay+rMR9RFsiuoxUIUT1J8nPZF6fqT1yejg+zHfmvI96ur9KEuZvsrn5yKm4ZPWuW44pax+ztd9Y4oXU7SVps7TKWxm7y2q/nSfbfv+uE5l5ysdKdH9OQBg/520yc9u6zOGvr80u5v4RD2bbn2r7ydPRAWVmGLW2pUoa18sEYU9j0QvfwcAaGh7Hu5L+7izvZOVW30o0315bhi+VLP7V+JBVnVdl+dZHTE8+Kowv9E/QrApfk7Ov1nV24k+40SHT2W6/9WlmIQXtu2SKJXfi+y57sTVmZcJFU6EEEIIIYQQQgghpFaocFoQFwGIilHr8pjZRah7/PdV7+cymKR0Kn9f/v/i+y16QiBojEUGUs36ENtQ35b0hPc25NoZrp0hWpOee6doamrvc6hpOAOZ76uayfMSeC4veZFUU424aeIjidXbyNRKkRQmbprCSbNHaYpdP/YxMl+nsHg8nvbo15ViuJZxzaX7zkVEGLUmK0A8PM6li1evIVXhmMoGqgxZBIuAJ8MT+E1VDZW8SSZFsQvbyUW2gUyt5B8Xt1m1XacuSErzdZt+7z1GxxLNtDJOIr/tqqh7cVn5PDp9PbbtcoR30rlI48Gl1RWT2lw719GeeD94QQhf00C3jiQrT2tdFVsWZbZIdV7RoX5YrbbV+erLEhbTW5tI1o/STNEU6UzzutI00KZsSruaMbB/iqRvWYWK0ecq76Zpx32Z2PVg957di2l0hvgKsvaQeijXNVmmRPVyMs8uGyFwSeWpCzuu0dH3xf30j+Cpr4zzAlSl4Ui99KzOHXVfrcQ9WCeLZKkzJq2T/24VKR9H+TctKIAnKDyd/5PeJ77LoNt2Hq3w7bm/5INYhSph149knfVn6pm2+WPZj9lBnY0yH8AfpL2epmwC5B7OVNr6fqTPSvGzv5eiqb+j11x397q1S6a8jo6e6rrj7fx594V9b5kZR6evnXK7/Jxl5998m/LbvgylE5DztrVzkZTP38mV1AVUOBFCCCGEEEIIIYSQWqHCaUEsGlb25fCa6k1xgcxDs3ARL6ebzKRx+fnPyx1HGzoFkCmd0lD6deNQosjDlvxmvS2JFo/aXado8jT7UNAY6CakRzrwZdoI1BfFi+F71d4ciYawY52O4ibiRK7H2JROI1UFqILKlE6msAoHLcTqq2KR8cCi6hb50MwmXg2+ZXNTzjqk951h9yWj1mQVSIZHiNVbqWG+CeovNCmz6aLEvYt7EDmVUjJZDTVx3Ql1b5yfv7iYawxXtsgii6uXRWkW7Hc3RQIANDQDn38ivhd+W7L/OJ9AbWNcm9NaAzSrqBdZRkBV9Vh2IVOsRuYDlQJ9veY00w76+lsNzFNLFbh9zQLWPxlTNmXKtnoVTfUoYMvthSrF9F6Me4dIhkcX3g+5WpxyMVLPsXhHpqWMoPNkjS4sM+Nz9yKeobNgdZvVefHpnTG1qPOE6xWXvWnqpjxl1U95fj5LXdV35fmTtnfZyqdJ5QAqym3zc/O8nq5fVpua8k8zTJv/kNdcAyJdx9oU82wNSt0F9h5QLJRMT+S523uh27UseFEfif2vde80ZZN9LrcxcGoiuc/zvpFjzx/J9PZokXfDuL8313PGvG2Y1TPTtzk5i/fYO5kpxCLL4nk1dQEVToQQQgghhBBCCCGkVqhwWhCLhrme19h6jC1qrb2PFb4cq5Id46r3v0ymneMLHXc43XukgCqCbPyyJZGLQ42qqqop6RzCD6VMYSi9/M2GTENfeufXAvkc+BIdaHrZMTRU6TRKixGHYSrnIE4CDFVp14/l+hyOZDpq6DJDHds70ix1jRHSQJwOUhu77aYVkQ2jFB2s4xqbFh1wPfqW5cplp9OIPKPWZEXIokvFtmIWyvXZLNH4c7dZs0r2Jrcny+C88xV337hrxu9Kpj5/bUem5tuiWf6c8mk4gBdp1Nq8Nwaq6rBsQ87/SWPhUQRY1Fk9m9JIy1ahbJLPR+NZ6TTaXM4UVvCw0GttlgjueZQjvHNFkVWd66Lqpogh1xpTNJvyIatr5XvL3Jn0Dyr83ap9P1exXkvccR5f++zTl0GVP1OVd1P++6rv5lEczVuu85iUZa9MOWtdfl72Wb2b9H4wBYwXrWfPJapoyj4HhflTMU8ot79M1eQyu0f9Qlmcssl5XWbZdScpm7Ltjz/DzKNsKs9btsfSIkwqk83P12fud1Wy9yJVhF3RyA8qnAghhBBCCCGEEEJIrVDhdEGyseLaozuh97dqzHj+O6DYS3sZ0ZVljTNfJap6hS9yrOPZjaLxharGNgNOMZRoprlU1UqNVhetpkSJ1xtyPa2pwmndl97+lj8oTBuInbKpjCmdRpDpIGlhkMh5OEsk+t0LJGrRb8h0oF5RUW9TyxojCSxGMkXRNIFZzvHkHvvJ0e+J39l9p/chI9Zk1TCfAYvseapKMR8Fz/kULMf3rwyVTavB5AhsE+4nmlDvedb+5D04LHOdeW8MzItjQt0ZDZHa84sqm1LNjmeKJlMCJf0j/f4Mcf9A/zc1yXQPp/z1VqfSaSplrz+718xfUbPxuXuTXGuykQdFlZ3DvE2C5vLrV2aaXknmyVZXXmbatuZRK01i2n7O85Wqyl5nT/Blfz3LsFae70edzNdJ7xVf/VFT37xps3fcSf6taaldygo7QjnjnMv0Xs5El/dtmqBsKmTk02M+77mm6n5Z9vv2pSmn7Dmh9LuUM+hd1cgPdjhdEGdWpg9kfvM2gGoj2HmGQbARuRjTbvCL3PRlmWZmrpurLJMJZt7agZMGmopZDbqDIMJOcx8AsBZI5bvdkIqhpUPnNrTjqa2fG16MBrTDSqfWweSm2vHU91vo6/C6rnY4dX2Znoykg2lvZOm2pYyJnyDxdUhdWQcZF4+vIH0tvXRMY95KON/ZNGYCq9NEX5D4AkFWDUuTm6h03N1WEx7a8tf7RY3EK7df05C6Sfcv27DFcEbtwxNYf4wbrla6Dnx7OM8PiVATVjPGTl1yh9KQiNzLgA2hKw93SErDHBI1vk+ibkVH0+y/9zI7mrygOSUwUbzX7Pjs3iQ3AzPKtuGefrIDIEsT7ocddy8tUrfOUncuc6jbKg/3u25UdUDNM5TO1qmjDLN0Ws3SQWZkAfLqRB5mOJ/qNIk24IcyHMu9r+oQbbt3kHvmTs8p61hAPo7cu1K5g6kcxM8sCIZjbcy0oMY8Q+jK3y2jQ2iebV6kXfSCZvbb+Za0TJ8PtB6cJ/nLMuCQOkIIIYQQQgghhBBSK1Q4XRCLjJnhGTqqcDJZokYE52XWCMZFotQfUnSkrh5sM2v0zTzcomM5CakNT/CSpLx6Jb4XYyc8BABsB7J9UzTZtONJ1LoN2V8DmcIp0GlcVjh5qnBCE4NUrpNTVTYdelL+QIfl7ffvAsiG+eXx7DDi0vHY0I1cpGKeaHct6a7tPlNSRqzJijLqifFzasOSVCnot7cAAElX0+xWJJqYh3mj357frGV43YfUniyDchsl0dqiFH5cNaHmr07hdJbVif0JQyLK5Ic5VKSklv0X01Knw9Oxsk0bQmfMG8GtK+Js0Xq71+zes3vR7k1yM7DnNKfC0+vYU7N9v9lBokNCJ6nh7PpedTXRqpfvulFlMF713SzzL0qVgflF9mX3Rb6NAXJD6uKhu2dcQp6hDv13yqbi6AIA4yrtKqsRFBVPY4qmkjF4frTEJGVTuY0pJKiY9flnxYelltvA7PzPYBZu7blL6HE1ZuEGFU6EEEIIIYQQQgghpFaocLogLpJixmeK1zRzShtLuXyTwnmp21B7lZgnMjrpmKdtw8bCprGa71nPfTLKPI50agohPz6/f3c3kKjbhiqatj3pmW6psqkDKWuABIFaAgapTGNPth+jOB0gRNdry3Y8U0iJOsk8nfwKZZOfeFL+uDRSWz2q0qGllDafj9MxE7/aKZvANksKJ/MaueKefELKmFFjrKrXRpIzeka171+ZcjR7Hl/ASdRlHk4vp3rIK52snfFiq/eKv5VnEV/1u/DCDWc+766NftF7Y4xc1NkpmSZEnbN084OZzMHHjq0Gs/CyImVaOz3m9af3mqlz7V68KhNVshxiV9eK0jno3C8uEISZwe6KPZfPw6qrM647i3g3zapAmmXdZSmnyt5ONk2iEzd6I1M4lRRPzpi6OXc9Xmgb4rI6qTrpRF7hVLkdYCFlU375pZt5XwZBc6JZuNWD8RW3c1Q4EUIIIYQQQgghhJBaocLpgsSlqHVgXgqhRa21B7jCl2OWaDXHZ9fD1CjoPFkESr9HlmZSswAMz+Cbt5F6OJlCyItNMRSMbbfhyTp3fLmetiFRBVM0raVyTTRTUReFaYxgQo6IGLKfSD2cht4QLU+uS1NKNVTR9D0+1qLKsp5O/cR3iizn4RSZr4dei3qc+SwTLiJ/TuSjOnvgHJFri7bofWZlsPvwqnvyCZlE3H0DIFMI+p0d+aKUcfGyVLF1eTiVYZt1Maadv/LPZdmGvFw2XIfVlRPq5Kqo87Roc7ls81w7y8xOV6DsM2L3VihtStI9BJDdi+RmkVdsyHQ8W51ldJqUra78PF6lJprHQ3XZz/J8V7h8LqJAWpZ6aRHySqeyl2CmEi16BuWfzydmBa3cV7U6aeL83L01KdveIlzW/TjTshXt4iTvpvHl1J8w7Jybne6q6wYqnAghhBBCCCGEEEJIrVDhdEFcJKW/LzPiKb4cpR7KWXw3LivT0FX3fF5XXIYe9dBIozOnAPKG6o0RaTa5SG63xkim3kiujSQNMEplnmWY24KoHzYS2VY7lesqVNVUmCYIqgVOUCEVIs1AF/k+mvp/05ftHEEyT9h+k1RVV4mvZQ0RRKrIilTiFNnx9PXYixmMkuHJzBHsecZN58eOT/LkMLWI3Ye8nsmqEvckG13S14yXqnCqymxajmrN49U0TwTvItlOz9u/wXtyccpeG94ED4uqqPMs9ex45Pj8aPO8zKNuWsRTY8xjJP9dKZup3Xt2L5KbiWUfbPT0uaB9C4Bkq7OMTqYCGK9rr0d9RWUTqZNyW2NkCqdcG+PP3sZM2o/7PMWXadq8Rakrc/llM5adzhROuQx1Lrus1nurkoWVCidCCCGEEEIIIYQQUitUONWEucCnkSgtXDaUSZlhZuSyoheMRi+G8wiw7D3DM6R9zdQW6dh/p3AKdSq3na8KpzgOMUiklzpWpdFGKue/o73+LVU2tUciawqT9HyFky8LREGCINCMdprZbuQHhf2lqa9laroyBpF6OOlxOA+nSCMglhFOVUVx//3MUewLRxXK2Rj0vrP7kJBVJeq+BACkffEZSzWbpd/eAgAkXVFdeHE0s6LpotnqluHh5LbNtqR2JnlZFJRPKkidR1m01OsgGdaanW7qsn5R7WT3lt1rdu/ZvUhuJpZ9sOy16TXXM18vU3deYD+r4OXEZ3iyTKqUT+6ai6qzUy9yTV72u+5Vbr8OT0O3jSDMvJtyo05kuhqetuxwqom4b8Mk5If1O7cBZFJuLwjFBBYYM4K1C9Rfk3X8sJPJwzXtu9/edtsBMpNkezmJDr5DdPy0smyW5jJYu6PblOFUnt9EsHG3UE7DOhNGx/JANtz7w0SJZdCW7TrjUt2+H3YQdGT7roPAzJ27P2i5v5H9dF9NKfeubn9DtyXnptG5N6XcL6TcB1/J/CVXYibN99duI9DOj7QvZfEG8nsHg7aU23U4yXGMkgaGqZzLPrTjyZNeo/W42NHUch1OQJDIMtqvBP2I2DqabJpkj1LHgXQwDdKmTmW/o5H+ltoJ1oga8C1bdn9YOB7rUEtcSunqxqZ2gmY2lG5siISa9/c5RIKsNtb4j7rvAACN5KcAAK9t6YjPD1LU/dKyjCF1btu5BzC+BC2XRYchXMawgroNw2cps2sv9N6yRBd2763KgzhZLvZc0Ige6owd9wxhQ1GcLcIU8/A66t1l14HloUKsc8myOO/aWqVrbzxJ13LavDq2P4shu1caSuf5oXv/tbps1d6HOKSOEEIIIYQQQgghhNQKFU41MeppxExVH6ZAKgyTKJkT2rSx9QkAINiS6Iu/uQvvwY8AAPHHonoabBf319LAXHNPthm+eIrBN38LAOi//rXM23os01ufF7e/80D2/+hzjHYlyjNSwUjQ1+0eSJSn+UrSBodPf4Led/9Zj016cMPbP9Xyfyzrbsp2g49/Ist98gDRtg7Z0q7N5pGaXu/JATSffydl/vb/leN8+xs0Oh9pub+Q7d96JNvdeajllvnxbgejdZH1BNqRHu7LATRfv5bPz34PAK7sy+rxdWknh6eZyq2vv3dfyuRHEmUNB2oePpBe7GHUwjCWa6GviqOeRoPbI+mxXo9M4STHG8YefPXytqkxasgykY65G6QpoEPphi3Z92kiP3hvpKbbsSqbVIUVDkIEfVVGmVm4Hk/SU5l6/wCADKUDFo9gl3vwp6UDHR8ioUo/ve/sPiRk1YlPpY4yxaC/KUpOp4oddp0q1iutuyzz8GVQJcFfpcjnh05luvcrMlKtxSy8QgnrqbI3OdM2S+898mEQD80kXp5V/PYtBHZt6CgC9KtN5+epq2ZRii576BvrWELGWbayadlD6SaZhbv6C9lQOqvnrN5bFahwIoQQQgghhBBCCCG1QoVTTVjvqak+EItXgJmHe0GYRT80Ot249ZlM74oiyL8rSqHk0X08/6UYMR88+ntZv6VjMwfSm9k6EDXR3eeiBtq+/wu0QvWCsvSIGuULH/xMtnFXlj37C/FVevaLJxjcKXonNU5EUbXzWspy67UordZ3dlzUMNoT36Xm/Z9ruUWBhM8eAwBe/0oUPT989jukWm4vEuXM2vv7Uu4XUv6t+38l89tSZj/suPI3HvxZ4bz0/1LWefbn3wMAerv/nJW7u1Mo952Xcm7b2zLfvKO63/w/S438xL33CEzlZubhpnA6kzI0u/q7qJrIG3TQHYk/1WEsKqgzXz2dVK10S2yh0IrkcyP2EI6qy2CeTnnl05F2vp+pR5QpnPqxKpz0umr29Po6a8A/0x2cmTn4qU6P3LHOy1xRgLLyyc9FrvW+Soc9LZPcd4zqkeuC+daZYtAUTv6ayFmT/pFTxc6KFzQXNg4HluPlRA+n1SaNB0tVNF3Uu2kes/DyOnYvGXavVXlGkpuLeXWZGjuIHsJPdgCI9wkgz54AkGj9WeXlZPOuk4roOpWVkLq5Ttf/XN5NYebdBABpEiHR50Wr51bNo5AKJ0IIIYQQQgghhBBSK1Q41cxIvQHCvoydDFSJkU/jHnRE5RPsiHeTr35N6UOJcL/45T66v/g7AMCfb/8RALAdyPZeR6Lyed75MQDgTVPUM0nwGe5E4m3UDORnTY5FJWV+UIOfSDa5p7/6EgCw+dmv8bO151LuVNZ5diZqpb3OIQAgaon66h52sR79tZT35T3Zbkd8dLxPZPumbNr7paiyHt/6Ercbojx5M5Bjfr0hyqPXLeltjhtyDm5Hsp9WECA92S+cl+FPZX9PfiXKqvXPxaPq87UXiFPxZnhu5V4XVVEcfqHllmNuH4mSqvn+Kwz2xNdpGcT9Pae2SfQa8M9k6p3tAAAaA+mhbvVE4RT01zGIpLf6KJZzeqS912eB9AmHmq2uEYvCqTXMezgVHV58y0qnHeSJD3Qbsp1j2H5ESdWLNrQMnUKZGn0f3kB+z3J2urjk3XSplDJ42Tke0ZODXDPMb8wydgaR1IX5bHVlVWyZpaXYXoLSqUpJcx2ijjeVKuVZnUqnurPSue2eU8aCElbvpTTS5w291+j192GSqKdJ0ttH2r4FAPA0A7Qp65OS16oxr5fTrHXn0urwiqxcrG/Jh8JlZaW7Ku8mN5JJSYdnSHry7pysmHeTQYUTIYQQQgghhBBCCKkVKpxqZtR9CQBI1ecGW6Ls8dvbLpOWbxEV9ezAtqhazmRRHD14gc83Rc3z562vAQAdT7xqdgJRmVhWs5cD6eU8vrOD9omonzbPxMfI39ce0G2J8h0+1Cxj958AAL7ofIMvGqpwQlA4jq9VcXO2Iwqh7u0NND+V/8sXTbQrqpjD+y8AAPc2nwEAft7+GjuelNcUWkPNuvTDtihrTm7JuWg/lG13zj6Gt79eOC8n90RpM3ogGe1+3PkWAPAofOnKEHgxAODLoZS7a+W+1dHtS4a7xtYnS1U4AZnaxpRsaV+mlq0uPJFjXzvVjHC9DvoDPR+qPDpK5XNXe8RP1Qvrfk9+Jz/J1E6eKp0sE2BDM9klauZ02ElwEsi+3qdyvg9GEt0b6vXT7Jt3k/Smh6cpcCbXXNrVqGBXMvxZL7qxrOx0DpeFKHT3jmH3md13hFwXLPIWd9/KZ/Uj8zs7ACTDlqdZR25CtrppihpG3i+PqsjvVWWlM+rKTiefwyw7nfpaJt1DALl7jdfbB4kp24L2LoKOZmtu2rWiU794PeXrWK80r876a1kKJNax5ENklZRN826ryr/JtXdaP1l9lSaaqXvYRdyTd7RVVfBS4UQIIYQQQgghhBBCaoUKp5pxvhyqZgo0O5rX3sx6KC2i0tTIQ1v8BuJQFClJq4vthiiDTNm0AZkOVDG0qd/7oXkhRRiua3aNlu6nLaqWNBRVTNSWaHm7Jevu+CdoebKO9a+aEilsiBqnpx5Rw9YQo3Xxo2roFJFkMYvbeuy6/Q0t24Z35ra/48u8tUZPj13LHUZaNlEopesteGfFcvfXRd3Tap4WymjnBgA6QbdQ7qGVuy3bT9t6zksKmWUQ96WX2aKpQVfUVZ5mAPRUudXsyllvdzfQ0yxxx0Mp35uWqN/eNySbzklTjlVFcPATzymbzMMpgXo3BcX5Ry0PR778ZnvxTmE/aV8UVe1TmbbOpErwzyKgq+qKM/Vs0mu6nOHHvAqmKZ0WyU43roBqZp4cel+5Mq1ojz4h5xEdPwUANLu/AJApnPy1bZcR8rxsdfkodjkKfxGW4eUEMOp+lSw98lujd1O+DZi1vF7QHM9O1xW/QbvXyIeNeG2KUjtY25GZmu3JPo/suSZ3Dc7r4wTUX3cuCj2cyIfEVat289Tp3eTqK0PfhZL+vnv3XFWocCKEEEIIIYQQQgghtUKF05KIu28AZJm9/M5tp2wydUYai0LIi0TdE0SqLhl0cDQSJUc3VFWRehQdpjL/RL9PIukFDUYhmmeqDBnIdqGeQdiQbYR9+f5IfY4Ok03s+ocAMg+nbiJljEaaQW0o0+agicaZHtxZpiwCgEB309BMZ71YtnGarqOB2O0LAHojKUs6lHL7iWZh68v+vbO+K7enPlJNzeq2PxRfI8vktusfZuWOO9Xl7mu2mr6e88gOYvnEPYmqmveR39Xsfnr+murhtHa6jtPTHQDA6YZ4K71ri8LpXUM+77dE6XC8Lsdxe+TBT4vKprTUfXy4Ief+qBngHWT7b6O7AICzoZzDxtmmKwMANE90I2d9ly0w7ppi603lcS4rG1F5+15z3WUfSrpWtuoyEXJdiE7FR68qW53LtnVOtrp5WCV10SqV5UNhpSK/S8iK5wXhxOx0dq+RD5tR7x0a+nzmt0V5Hlhde4VeTpdVH7LeJTeRy1Lx1dVu1eHdZKM84t77lR/pwQ6nJWHDjmxIhN+57QyP06GmmVczZu9Ih5vtScO3+e4jPL/7OQCg5UuDdqchw5peDWVQ1Q9nHwEAGkfSgbBxsI3OO7WUfaWdXdph4IXSkG6/k86LvXePAQDfrO1hsCYX/CiVS+HZ2SMAwPBETLe3D6VMnf02Gs+0A+XlU9luRzotwj3p7Nl5K2V7/eAzAEAzGOK2lvvNQL57fyqG5s0j6XzZ2tsBAKy/1k6TVy9duX0r92tZdu+NnJNv1+Xhsb/WQpxKh9NzLffoVMp961COtXOg4/1ei1H66ECml4FdAzakLjiTKU7k9w7UPLx90sLaiVwbxzrc7v26HMfblkz3Ajnm951DAMDOKTDSjibfK1oJjxqpLiuf9xodvEzkHL4fyvaGPdnPxskOAGD9SDs2T2NXRme0evpD4XiMWTqaJlXMMw2VyJnAAigYhifOLPzV+HqEXCOmmYe7l58FzMOvw9A6modfHstOE72soXSTvqsyCwfUbJ9m4eQcLNFIsHZHpzvyxRUOrbvsjibWu+QmULQUWH5AZZ79LDqcbp6hdMD1SJzEIXWEEEIIIYQQQgghpFaocFoSJt1OVO6WxpGTebv08icif/N+0OFlsahLPgnv4QX+PQDgXx5J9MULZZhZGolip/VeFE4Pnst063Ub/lei3hl+9bdSCI34hVqmdiQ9oo/DnwEAng/b+N2dokIk6O4AAO68ESXS7Rfyef3rE4z+9N/l2Pa+AQA07/9cyq3rPggf63//DgDw9LNdPGmJmsvTcq+9F6XT3ReSknbzlV6CX34pZf/271yksuHLd81Y3LE/C78AADyL5Pt/2c16dBta7t3XUu47L0UN0/5WVGTRs9/L9g++wmUTn76W6bGojPxNGS7n6TC69tEW2qciRzpTY/GjjizzfUuO5+O2XCu7asy+vR3htg5/89U8PPFF2bS/KTN+UDP6F9jFy0jO+0FfFHGBKtjWj9Us/FS25Z2IMXt6cuCMVi9r2No0s3BAhhjZcFS7rzhEgtwUyubhXnsTfkfuU1P0eW44dnW0fB5J+SpEt89T3TDyvjiTzuUqDKmbL4nE9GWzoXQy9Tt3kOqzFM3CySTiodSp8TlD6/xQns2SeDhW79Y9tO6y6j8qnchNYNmq3Un7q3s704bSWf0zbSgdkNVnqwwVToQQQgghhBBCCCGkVqhwWhLW4zo6FgVGuPuFUziZ8ig+fq3LSo+lr34Dwf47PH79qaz/8H8FAAy2k8L2W0fSV9h4q4qUF3/A4IkokPqvfi3fbYj6ycZ6BieirFrfF3XRz779HNE98UWK1kUdE56JO0h4oJGcV1L+0fN/Qe+7vwEAJEPxILIx6WFPfarei+Lo4eufAAAefPJLRNvisWSG1s0jOQ5vT9ZJnn8nZX7ydzJ9/fdodD4qnJdAlWCtffFA+ukTUTrFu59itC7lDTQw09hXB3P1bDJlU++7/6zbvPwIzpiXk/4OwYmojRqnHWzsq8JpawcAcLpp5uGiivo+lHXvBYcAgM2NA3T6qe7BpsKedITjbSDX2/fxQ7zqyzkdnMn219UzqnMkC4dH6t10pL/L8R5Gx68K5TeWbRJe3o+Z7XtB6Ez47b5iRI7cFEytZ/ddcOsT12bYPQD1crJx/YiL/iLL9nJaFpO93pjKe16mnctVZxbvJkdZCWvtRHsTSCRxit1LVMKSMu4ZveTl5DdVUaCekfY5ibpj1+CyvJzcOktWHlHpRK4j10HZtKh3k0ybrn2z+scwD+iyd9N1uGepcCKEEEIIIYQQQgghtUKF05Jx2ep6Rwg0Wm3ZtkbmQ/P+a5l/LD2ZfrMDPPstgCzK0rYIt/oaWQRvqH5Q0d6XGJ0WlSj22RRJ/oGoibzXkh3N/6aDoCMqm6ZtXxlaFrBj6T2N9r8ai8wM9/4AIPMosggRXv5GPv/zLXes5ss00nVjizwefFM4T/n/rdzBgfgZ+VpufCU9v43OvSzzn5Upkt5fy0Znnk2r0PvrvJy64svkH0r2N29zE+0NzRp3IMfT3xQ/gYM18V76LhTF2+7aoSzX7GN9W/2c+qLyOmrLWXjZluvoSSqqqGfDj3HUl3Poshoe7gAA2keiQMt7NwHifXER76alZafrMTsduZlkqtjvAQBh9wsEO3IPOz8RjXbF/cnKpnmj1HP5PuWidnVnrJu4T0bdZ+YyVUwXieBeZPmyysQpUiyjYxAgVlW03Uu8dsgkLJV4oM/L5uXkFHM5L6fkHJVo3stp0jV3HZROhKwy11XZNMm7qaBs0ukk76ZEVe72fm/113WACidCCCGEEEIIIYQQUitUOC2ZvC+HvyVqFefLYb2ZlnmrL+qSuPvWRUrKEYdFfDhMKVT2XrooVra4Ly75datOkuikMC1z3WIxzstJVWOBZqILDm+jsbEGAFg/sqlE2Y7X5djftkTp8E0o18h2eIr2mujFQv0dXq1JL/kzT1RM30Q/AgC87H2CoWal2zjZATDduwmQ63UR76aFIgKl7HTlrEN2v6RxRE8OcuOJjkWd2eruwd8UD7dA247UstVZlNxWmqFduA5eTuTDZJp30xhj7YQoYd09EscuE7DdS4ScR9yXa8aU3WNeTms7SCL10JuYJTSrY+tUDV2W8qjKG4eqJ3LVXLZnk1HX/mbJSlcgaMJf2ymWRb2brH6y+uo6QYUTIYQQQgghhBBCCKkVKpyWjFMBdd+4DFt+pzhG3GUeqmC8Z3d1otQc970YY15OJ7vwjkTFs3Yg2ek2NtXLqSPKpNO2XDvPGuLltOGfoRXINRBsSE/394Es+2X8SJbtybKn3V00j0QpsfVetr+2r95NR8cAit5NUrbF/ZuqKPfozxIxyGenk7Ltu3LxmiM3FRuTPzp+gWBHVIp+ZwdAzqdG2wxTq+bvr7yPiHw+/15Z5bp8UgalVS7zspl2LlY1G9085covW1bAZvOlXXD3RCjrJN1DjI5fALhe/hbkarFrxW+Kn6a/ps/puessaMvzUzzh+XtZWevK986y67yq+uRDrGfJ1ZNX2V1W23YlWely06B9C54v9U6qvsSxjoCykSfXsW2jwokQQgghhBBCCCGE1AoVTpdEdPwEzf5fAMgUTubh48ZmWrQ6t948SqZZIxGLZMmoY79EqPJyCk7kmmgciW9AZ78NABisi2rpoC2Khr2G/GZPGj202/J/I0gAAF8lomx6MpDpfk89w47vonMokbn1o5buR3zDcKI+WTnvpnwZgdl77ufPQFSKXOvUvBPs/jCS/hE9OcgHw/DgK4R3fgog8zEzH0CLeqXq/zdfO1GPSrZcLywra915yqYPqf2Z9Vwsbf8LRHGnbm8e76ZSGayd8HPeTYCodC07LSHzMupJ9uBAleiWLcoPQpcxN3GjEjS7b6ku9YLmzErTVcxal9/Ph1jPkqvnKlS7y1A2Val1x5fRd6FQM8i3t8ey0tnIGKufriPscLokotPnGFkHw+YDAHnzcJXs+pNfBJYxtM7zm7W+JFy27Pe644bWHd+Dty4dQn5HHm7a69IBtdGRCmiwJkbgp80+AOBNo4+WJ+e30RLz8O8GMoTujQ7VGx7LMLqNg7vYOJBrrb0v3ZnekT4oHUrlFZ+oEV1uKF0dLxfzDKUrm8A6s/BhDwAwOn5Js3DywSBthqbqtoQT4ZpOy0Pr9N7JrX/ThtaNG29W1yU3yeh20u8x67lYBRYdSiefm2MBifGhdHJPpJG1E6/YTpCFSYaSmMGCbn5TO/ubHUCHuQQb8jw2Oh4f0gzYS3LxGX2Wjqd5n8cvo677kDv4yeVzFQbhl93RVB5KZ22b1SsAAA0mxt23ALL6yOqn6wiH1BFCCCGEEEIIIYSQWqHC6RIZHX0PAAjv/AQAEDQ1Wq0y3Xy02iutO4+SqbHxEQDAbxdND50EvTRUCQDiY1HbRAffSllzQ6oMP5RIT7Amw7y8pqhvrKfXemct8ghkQz9M3TXc+4MeT3XENmjfcdt3Q6xCG2Klvb96PIgjxN0ftNzfTCz3quKG1nUfwj+R38Q7VMPKdbk21tflXEatWzoVhVMviPDcjwvbe34mQ+l6J6Jsah3K+do42EZnX3+jI1kfR4cAgOREUwGf/lAoE5AzJJ6jJ39Wpkau9X4wkr4Ym9v9Q8iHQBoPEB18DQBo3JJ7u3FHVIy+JhNI+hLt8moeWnedotjTIu/X6TiMfJmvauhcHUxVs15gKJ2ta/eAF0gCjPhwHwAQHXx9rX5vspo4E3F97vWaG2hsiXrcDH2nmYhPVDLVXCdd5vC6/H6uY91KVperauPq3s/0dm+ySTiQ1StpEmHU1eQxp9fXJLwMFU6EEEIIIYQQQgghpFaocLpEhsffAQCa5suh5uE2TTVancbRzJHqrKe0hcaWpNC2aLjb/kefAQCST0TxMtwW/VTip2hLpkU09sQ8uvlcyjh48t8AAP3Xv5bvOx8hvPVj3b5G2XfUi+rR5wCA0a6ocUYqcAr6QPNAjqP5SryBwqei7up995/1WKU3O7wt5rjhzmMXuQw+lmXTT2Q/0bZEMlPtJm0eJQj3jkrl/jst99+fc+ZWh/j0NZKOqJJ8NQ/3DiWqFrakx7vTEhPxYUuVDY0IXVU4mVtFV5VN4ZH8zpvvZdmNgzU0D1QNdSRqoeRYosFxVxVOOe8m4OL+TfNEsMdMYO1+sDHMer/Y/UPIh8Lg4I8AgObxnwEAAvNyMv+/pvrYaHsxTR277Ih03ckoZt7vFD+jSUraVYrKl8s0LcJ7Vcqmus3Cx7Zf4d3kpmUFrF3z5vEXyfmydsLuGUIugt2HUVe9V9d2kZTU9mYibnVsoqnL03hY4Wl6fr14kTr0spVOhCyD66Bsmqc9lNEc1e2br8omvzyqo3eIpKeKXa1/VumZZVGocCKEEEIIIYQQQgghtUKF0yXisl8ciyalrETKZx6yrEMYS7daHcUIb/0YjXuiEgoeiKIp/fQhAODFr2S/7x//d9lGS1NqD1tY25Mx6bsvZNmth78CALTaqjZR1QmCEOGDn8n6d8Uj6uwvJMrz7BeSqn5wp+if1Di5jZ3Xsv1br0V9tb6zo8ch0cpoT7yXmvd/Lvu7+wj47DEA4PWvxG/oh89+J+XVcnuRqH3W3t/H3Reiftp8+FcAgLaWO40kC9tg7/dYdUbdVwiO1Y/C/LzWddqW37vd3gEAbKmfQByOcKIKJ0vQ21Bl08a++EFtHojHVnvfy2Wlk17z5ETHB6u31iLeVxfJPgRgctYh/Zx097WMcr9c5+wMhCyCi7KrR521GcGO1NeW8TQdat1YoY49L6NpPoX3+HfzR83L0b/LVjzlOS9z6jQ11GWVZRV9mS6iaLqId1PV92XvJpfl17ybtC2ze+QmRILJ6mDPHdHxE/jmW+oUCvKc5q/tyLJR131/Xj08rW5dROl0Vd5KVd47vAfJJK7aj/Ai+5/WLk5SMVXOs/pD6w3DPDmT/gGiY3mvvknvPVQ4EUIIIYQQQgghhJBaocLpCrCey2ZXFEOZl1OWeciyDqHUS1qOmgQbEulu3Po0Uzap59FLVTYd/UL8jH62I94GWw3x8fkhuovnnUMAwOs1iczEoWxjty9+Tc1ALpHkeB/eA1EpDX4i5Xz6qy8BAJufic/Tz9ZEiTJKZZ1nZ4+wp9uPWuLHdA+ivlmP/lqO+aX4Dnkdyc7mffIjp2za+6WU+/Et2c/thoyPfzMQH5PXG5/hdUv9GxqfyDID2U9r/38GAAwPvtLzttoRl7j3HgAQqKdSol5OQVtUP74qndZUBRQ3t9y6Jzrd3JPzsvVevlvblwhwcHAGHB7qdnX7th8dJ1wXs0awvaA5MeuQYWW0+4WQD5XBwZ8AAOHBFwByqlj1scl7iZg61rycxiPtVdnczlNBLR41vypvp2mcp3yatuwsVG2vHFFdST+pJSmb5PuqiG/1OvlIsMuya+rfknfT6ECyl9o9QsgyGPXewT96Kh8mqLMb6sU5AoDhaWH97P5fjtLpquuTq94/uR5ctaL3spVNXtDK3ntUIWn1hMtKp9ncY/WAi46e3oisdGWocCKEEEIIIYQQQgghtUKF0xUQnaoS6PgFACDYEpVSPvNQPusQgIleToG53G/uAtsSARzsirLl8IH483y6/S0A4M/aXwMAtj2JvLwNDjGMZfsvB+J9dHxnBwDQfqjeSAPxYPL3O8C2lO/woaihkvuiPPmiI94JXzT0uBC4cn4dyXbPdkS90r0tPbzNT+Vz+QKMdts4vC/n5eGWbP/nWu4dT7Q824EotIZJEz9sy/aOd2XaOZByt25/oudH9rOIR9FlYuUL1qS8/rFGc8M1+RzK79QI5Yyth00k/mZhGxsH8nl9X3rNQ80QiMNjpCfq3WS+SN13hf0uKwvRxChCLnLtsg415VjTvvzOdn/Y/ULIh4rzEZng5WTqwDQ6c9kdU1vZRdJnj6wvA89vXrnKabq/UH0R16ptTTrPq+DdtOwsdGP7O8/vwiLCfjOXvVR9Did4N90krwuyeqTxwGWM8puqLNWsdX5J6RS0byGeoBadVg9M/O4CSqer8nS6yjKQ1eCq/ZouWoZ5lE2Tvpcsdeo/qO/rVk+kiTyrJUMdYXT6GoBkpruJ9wo7nK6QSOW5jVsyjK2hHU7B5gNnAoucCWGe7KVBGjqEbaAty0StBAAQt2XdLe2gsY6mDfQAAAPvBGuB7McPbWia3ABReyT7ackl4rXbSMNAv5PttlvSMbDjy7TlSZnsNtwOjhE2ZHhcrynTYUuWGa1L50JDp4hGWmZgpNvfbOj2taOp4/UK+9sIT7HXVFm9ljsO5di9ppTCHgycs/aKY0Pr/O4PMl3ToTIn8mDjNbUzyd/CBnQoWiJD6FxH074Oxzw60XUPx4bSWcW2yIvGucMgKpYppLkuzTMTWCO2oXQmXyeEABgfWueCFDYN1+Hpw4u9nJw3XC7PMofWAas5vA6Y7SF0lmO+rA6tOrloZ9MiQ+lmXdYLwiyZhF7jSV+eYziUjlw2eQNxIHu+dM83NuyzuQ4/lpfLRIfJTCJf155Xv1604+myX2InHQ87oG4m5d/1JnY0TdpW9o7TKn1uwreOJg2uG/aeH3ffAsCNNArPwyF1hBBCCCGEEEIIIaRWqHC6QobHMtQtPP4pgFy63+aa6wn1NfqR2EpjwyNUzRL1nUooHKhypK/D5GJRwHRTVROpm+xhuoleLPtJIh2iN1KVTF+VTQPZJvp9eOtt/U62fzjQIXaJTHf9QwDZkLpuso5oJOsEQ5k2tWwNFXDhrFc4J0EfaGi5T0abrpx5bH+n0QbSoZS7oeUOIulDTYfSq50MT3AdsF5xG+LmJNs6nAChnD9fhxN4vo8wUGUT9Dc7iuW7IzWrPBFlW3Ky51RD1pMe99/rduaJPs8fpZg0VMIPO+ND6YZyLYyORbZu9wchRLDI13BPEkAEWx/JdEeHPm/ddwaU5aF1Horkh9aNR6DPVzpdJDq9qkqnaayqQmlRrkLZdK7yNTeUDpD2z9+6X1jHhoXbPXBTo8FkdTFDX//4KYD8dZwNrbOU5+4ZHaf6uTik2Vi20mmW7S6LeZI0kOvLVRuCV+37spVNY/PDDVcXjJmEO2XTUwC4kUbheahwIoQQQgghhBBCCCG1QoXTFWK9wdH+VwCAcOcxACBofuLUTjbG07MoSSnybGZjSfcQwaEoWloboobZeieGsi/vyXZbnuzvdkPGlL+OHuDt6Y8AAI2ju7LOexlruvFaC/lC1CZp98iZde68FvPOvR8+BQB8sy69soM1Vemkclk9O3uE4Yksu30oabw7+1K2xjNR2CQvn8rxdUStEx5sYuetRDRfPxBvq2YwLJT7zUC+3+8+RPNI0ktu7e3IMe6JyifZF8NpU/KsItXpyWWe83Jqa/rz47f6vUbQgoZTLISxGKZnyiZRdSXHmVF4fPpDYbt1msRO824qL2P79YLmmHdT0pWy2f3AKBgh1QwORN0RHvwEAOB3pJ7w2xtI1EfEj82QUtYpq5XyKqZFIt91RMuvo9LpulNH3b+Y2jWvtKguQ17ZBIgnjt+W9m3cu+mPc5eBkDqxhCbuntLrutG5lxmIq7phdI6nnhc0K+adr3RapO68ag8lGotff/Iq51VR/y5ajosomybON4/atZ0xZZMlbTKf2g8lMRIVToQQQgghhBBCCCGkVqhwWgGcl9PhUwCS/td8bXyNVlvkI01UIaLrJn1RscSHz10WF+tF/CQQJdAL/HsAwJ8eaVrhlnp8DNbROhCVyd3n4gWy/VIUSPjqaynbt/9NPgehOgUBrVhURJ+FPwcAPFN/pt/deVU4rqC7gztvxFvk9osdAMD6t6LIGv3pvwMAoj1Jady8/3NX9gf+Y93CvwMAPP2xRO+ftDRj30Cin2vv7+PuCyn/5iu9lL/8EgAwePE/9LytXrRkWvYQ+y6JVKWkv29iEd+uZjnwG/B99XOyDZ9YVjpdR9NGJ929bDsLeFrNkpVu0ndj3hyq0PLb22PeTZFe//RuImQ6Vl8M9/4AAAg2RKHq3f0JAvW8sWiaN6HtqCNrnSzDyPSHwiwR5IWy0pU9cNTfL9i6j1SfN+JDUS3bNc/rjVw1bpRCV0YCuAxVfhNBzs8JENUTAIxs5eHp2LbmyShqXEQlugp196zp5Xm/Xw3Tzv91VzYBiyl+q0Z1uHeepihy7X73wnWkiWZR7x0CAEZHotK1euNDubapcCKEEEIIIYQQQgghtUKF0wpQ9nJqbH2Mxh3xL/I7okpK+pKJxbycyhGQ0fEL939wJl5H/v4bAMCnbx8BAD5+KIqhwbbuN0jR3pd4d7An6qH0hUQPB9/8rUzf/lbKtPERoPsOTiTj2dq+qIt+9vRzKf89na5LXqTGwENzT8v5VtRPo6f/DADoffc3cgFMpc4AACjoSURBVFyquLHoTNg7gn8ofkUP334BAHjwyV8BAIbbxf7R5lECb0/OS/pKeoz73/xXKffe73HVnJeZoyp7SBnnuVSOAAchUstYl0gEOO3KuUj097FrJu4f1KpsWmT5vHcTkF3XABCfyHVK7yZC5sN5OW0/BgAEnV34m7vyv3mkuTZjcta6cuakebPWTVt3FujltHwu4t10EWVTlXfTtKx0QC5jb9hy7dno4AkAejeR1cMyJY6c0qmZqbktQ5V5OrXFJzW2lXNKp0zpXqxvZ6lbb0odOstzM58Rl0f5Wls1n6a6mKU9nJR5Lv9dWdlk97fd72kSITFl07G8p1o98aFlWKXCiRBCCCGEEEIIIYTUChVOK4Tzcjr+KYKORKmdL9M5Xk5pPER08B2AzAHf31Pfn2f/WNhGa00lTn4DSGRE+bArUcRoTzyQRqdFP6bR6SunkglUTeW91exoqoYKOuIj0lT/BQCINMue+fM4FUspCmO+DPHpawRrqn559mvZrvYYW/nN32EUR0is3Aff6rEXy31ZVGXdKEcGFokQOC+noVwHNgYYQeiW8dTjIlVlW6znxDLTJb39hRROk7iodxMAeM01pH0p0+hYevvp3UTIYpiiM+jcR6hthrUdFmmblrVu1oj6ZSmd8lz3iP1lU28G0nqUTZOWG8tKp9eqXbtpNMDo4BmA1VAtEzKNUe+d+9+uf3vJMqWTPQMZiyidysvlWUTpVOUrOmn7l820Y57lfJDJVJ2/VVY0TbpO59rGlPZxVr9aL2hNVDa5d3X1bUp6hxgdSxa66FhUuvl64kOCCidCCCGEEEIIIYQQUitUOK0QeS+nxpZkd2uYwqmUeSit8HJy6qeeZq47fT1hP5MjH9MiBKaSKatl6oxAx/33iPvvF15/mk/SectOYpZt5HvclxEZsHNe9nICgMCW6amHk6qg0ui0sO4sTPVhmjGSXfiuFMG26xjIlFj0biLkYkSnEkEb7v0Rvqpjgx1pQ4JbnwAA0vfSZlRlrcsi6LMrnc7LpLRKUXIyH8tSNp2blU6vVSM+fovhnng22TVOyKoz6r0b93ixa1+v9UqlU0Xmuvy65Tp3mp/RRZROs2z/qqiqmyaeA7ZBACafhzpGYVwGVdfl3NuoSdlk889TNqU6uifuvv3glU0GO5xWkMHBH50JrF3Efue2TuVlwjqcYm1M5jGAncZC66yQWeEsFdG8jY+kq51UIV1OBW1D68YeXvLLaEdT0pehdYk+vMxyvAtV4BUvFuUXCtfRZENE9QUj6e7TBJaQmunv/ROCjYcAAL+9JdPODgC4YdpVJuL5odl1c9GH/kkPiqvQ3lw1dQ6fA5bbnnlBc7JJuLUPoew/6R4CAKL3X6O/909LKxMhy2JSB2lj60cAAM+e7XMdT1XD64DpHU/n1a91PZ+vcufNpHqrcsjhDR2GN+24VnmY3CTqut7OayOrzsm0jiZAhtGVO5oM62iyYXTDgy8ZLFE4pI4QQgghhBBCCCGE1AoVTitK3gQWyJmHq9LJUt77GulIUFQ5AZOVTrMYvy7CKimdJjFNrXTeesDVRwiyoXXj5Uiiri4z/1C6aUzq7S9/n49g+6GawJp8XK9bp8w7fk0TWEJqJo0HLgFDo3MPgBj0A4C3rul6NQKXNxFPdf1Z2xCZN187sqzhGdeh3amLZR3rvO1apQH4tHYBAILmuEm4JZHQazON5PqID22I6B9ujAKBfJiYuqF8fzgz8UtWOgEXH2Y3bT+rxKKWGvMoppbJPMMHr8vwuPO46PC5WVW/iyqbABlGV1Y22Tt5ZhD+VKZUNzmocCKEEEIIIYQQQgghtUKF04pivaLRgaSKd0awarocbD4AkI0X9eKowlBwegR6mvFrHamtVzHivGiv/6pEC+ycFtRL9juXPJsu6t00yRR22vf229t3dp0aSVcM7aODb9nzT8gSGB59AwAI3t4BkKlInIl4KQGFV5F4wpjFRHwepVOd0fFJkUzPb65k27MIk9rSOr2b5mnb5lE2jS3nN8dNwnNJJAAxCQeAwdvfAciuZUKuO5Ou5bzSqdJIHJiqdKoyEs8vU0Wdz+jXSfGUZ55676qOrWpkxaq8i9TFZTwTVO2vOG92ZRNQVCNOUjax7RqHCidCCCGEEEIIIYQQUitUOK04w4M/AQCCjihFLPOQ+XJkWeuGhTTXNi/PItHpxsZHut/bLjo5KfOY+fMklu7+4DvX21vGD8WTKljTKLz2IHt+E8HGXd1ntft/dCjbjPa/ujGR7HlJ4wHSuKhsMtXTPEqDyd+fH8keWzbIItju2tDrNB32AACjg+8BZNc1IWQ5WHYvl7XO/NQ2VS27k6WgtwyXk9qQKqVTOSJ5VUont81cdLMcwV9l1a0xqczl/2vb35KVTeWMpV4Qwl/bkVl67bmsdCf6zPD+awBgZjpyY5mmdHKelzMqnfJcttJpWubm66Z2Oo+bpiq6SiZdlxc5x4sqm2R+c7L/4ARlU5pEY9noqGw6HyqcCCGEEEIIIYQQQkitUOG04ox67wAA0YFE/kz9YxFCl/1L/TgAyVgHzJdxyPCbojxqbP1IprceyfzNe/A/fizbfyj7HG7LHhJfchy1ZCgrmnuSLS188RSDb/4WANB//WuZtyXbCG99LsexpdH3HVFweY8+R3RPojzDddluY+DpdqX84dsf5Nw8/Wf0vvsbAEDcfz92LDeZNBm637OsbFok+8Y0Zsk+BEhmOotgj2WlO3kDILuO7bomhCwHqwcGb38DIMscGYZt+dyW6B06u4Dep0a5DalSOk2OVBajjdMUT8v2/yhHPqepiJatfiqXpaoMVZ9rL8cMbcD5/n15T5Hpyia77vxmB4EqX+3aS/qi2Ij2JCps1+pNU0gQUqZKCWHP3SgpnUw5PtLlPPfsdzolo1rxeV/mnZ/BDri44um6+jqR5VKXF9VFFU2TlvNV0WRtl8v0G8r9mCbynJQOz6hsWgAqnAghhBBCCCGEEEJIrVDhdE0YHPwRQOZ5ZJEPU5IEmw8KGesAILWVZ/DhsO/CWz+W6cM/l+3fFSVV+ulDvPiVSJjef/b3sk5Ts6ENpYe4dSAqpbvPxfdp+/4v0FKPBvN9gkZqwgc/k208kIhO9y9kjOzznz/F4M6rwrEH3R0AwM4bybJ0+4Vsf317G2u6TPdP/5eUZYU9Oi5CVY9+OXpUh7Ip3/t/bvYhUzrlMtNZVjqLyLmsdHtfAsiuY0LI5WDZIP23v5WpqhC9O5/J581dp0S0abkNqVI6zaKYtWXz61YvU6xrlh0Zr6pPZ/UzqayLF1hn2Uomt58LejVN2ta5nk2ljKV+Z9f5h6WR/L7x4QsAwECvTWYuJR8aVcqIoCPZG11drQoLU1zE6rnnY7xeLT/T57+fVXlUl+fdZPUVlU83mWV5Xi1D2SQeTtpWherZVLrvTNlkXpdx9y2VTQtAhRMhhBBCCCGEEEIIqRUqnK4JFhEYHohSxCIgYSgaH6+55jKDGS44MaZsGo98WCajxq1PAeSUTZ+IYuXlr45w9AtRNv1sR1QqtxsHAIDXkSzzvCPqqDfNPgBgFD7C3egLAEBTlU7piShevI/EG6r/U1E2Pf2lbHPr0T/gF+tP5btE1nnZk7K8XzuW7TZ+AgC4h12sH/2lnId3sv5w7w/lU3etmaVH/9xo1QU9OyZFsq1s+ayFk7PSfTlTWQkhyyFTyWoGSY3eBTsfw9+UyHla9nLSJqJK6VSlmJXPk5VOs2Swy29r2vaWxSLKo8tSK83CYj59syubystPUjaVs9n6m/eQxpJvKz5+CwAYvv09ACpfCRkefePqulDrSXtBKyudAlWQx6cAUJ25rk6lE1Dv6IGrrN9J/Swzi988bWtVOaYpm2zqlE3qkez5mnm9pGzKfJueUI27AOxwumbYRR7syQNaPs1wsCWdUGYgbsaCk1JdA9nN59I+quQd2zJkb7AbAAAOH7zEp9vfAgD+si0p7TuedCrsBGJaPYxlPy8H8qB5fGcTa6diULt1pkOt9uVzui03+NE9MRjHvacAgC863+CLhhzjCLLvhidWib1I1unelmM+OV3H+n2pIMKdx1KGa97hVOeLy0U6mqZW3Lk01wBcKt9g6/6YSfhQr1NWzoSsBr23ksDBDDK9IHQdTsGODFseMxGv6HiaFMCY9jIzy/C68XVoQDsrdXc2XaijSYf9u2sKQHKiSVDe/QuA7FokhGTPSVbX2bQRS4C2PNQn2LiLpKf2BZE+Sw+rO6DyVBmK5/dXRR3G4tNgPX+9yFuy1LrdJXUwlb/39Pknn+zIdTTpO3TsOpokcB4dP5HPTHq0EBxSRwghhBBCCCGEEEJqhQqna0rZRNwL153CKdiRIWjnpboG8pEO6dmFpsxGW3qBo5asFbe72ApkSJspmzYg04EnCqfNhkz9UA1BwwhRSyWJ62oe3l/X/Yh6abAuw+/WWrLtHf/Ebd/YVgVVsyHzuw3Z5igcIW3ZkMJ1XFfqUjXVYQ5bZQo7Lc01kLveQJNwQlYdi0r23/6DzAiaaGn9bwrX4Jbe0wfFdfNKpyoj8eLnydHzcv0zi+Lpso3FrwPLVjRNWscLmucrm/Qa8gJp65OTPQx16Ltde/wNCRmnrKBI3WgFUTrl07UHHR0G1Jf7MNZ13AiHXN06bZidzJ9f8VS3sTiNxleLaW1MnUPpLmIInn0/nvRo0nuMG9Wj7RWQKZtGXbn/Rkff6+eXMqWy6UJQ4UQIIYQQQgghhBBCaoUKp2uK9fYP9v4ZAOC3b8NXlY/X3gQABDs/koUPbVx4darrAon4JSGSaRBp5HvYRjeW7XdTURU1PImlnOrns0S+T6KWWzcc6PpnqrY6kx5kqOIpHEhv88lgS7aVrKPry/bMw+koluMZjmS+P5JtNqIGvIGUMx2eVR3NSnKVBrOzejblU4VOimTb9WXquLR/4kzC7bpkVIqQ1cSidYO3v3GqxdCXRwK/swNgutKpykgcmB49n2YoXrXOND5ExdNFIsq1KZsAIGier2zSRCFJ9xAAEO19g8Hb3wBgpJiQWbD7JCl5OkHryaBz36n77f6z5zHzn5lkKl7FPHW2W2bJ3k5j+6Ph+NK4zHN7Ua8mmT/Zr6msbHLG4CUftDSJ3Ptj3JVkFtHRU5mqsikZHs1cVjIZKpwIIYQQQgghhBBCSK1Q4XTNcVHqd//oIo2NO58DgEtRb2mJTeFU5cORDCXDhUUjgxOJiqztiafT5ruP8Gz3CwBAy5cN3GlI2PvVULyj3pz+SNcVX6mt97ex8Vr7NF9JT3F6Ih4/XihRmFuvZRzt/sePAQBfr7/FYE16qUepKJy+P5PvBqe63aPbAICNgzXg7WtZ9vjVeafq0lm2kqluz6b8clM9OvR6susrHYq31ujgGQbv/lH+ZwSbkGtBdPoc3utitrDw3s8ATFc6VWWuA6Yrnc7LRLSIt1N528X1r28E/KL+GNMUTeftZ5qyCZA2YWZl0zvJatt//WtmKyVkAUxhMYzF89RURGE8RNCR52+/nMHOlOdDuU/j/kGlr5N8nuztNK+SNP/cW6faqbqeot/TIsyWwbo+fya3zRpUTfJdtbKpamSGeTWZEtBlokv0fbh3mCmbjp/KtJQtktQDFU6EEEIIIYQQQgghpFaocLohDI++QdDWjHXak2vZw/yOKILScta6nA9H0pfQdXz4QtZpy3hXi1r/6Hd38Rz/CwDgXx6pu39Lxr0mA9lf8+ABAOD+i48BADsv1uB/9UTK961E0K13uRHIpddOJAve41Ai6s9GTfzmzstCOf3uDgDg1hs5njsvZf+dr84QP/9XAEB08LVu/5LHk1fsb5nKpjpUTVXbqcrkMEnZVL6e4pM3AIDh3h8xPPpm5vIRQlYDu2/tnrd6oAFRyy6idKpilgx2efJ12Dxqp2z96fXlVUYwlxJBnkHVNJeiyahQu56nbBq9/w4AMHj7WwBg20DIBbH6yu6lNB6gMZQszkH0EEAxgx0AeDlvp7p8narKVMWkZ+HL8nnKlFs3S/06jWnHuow2p7IMC7wDLaJoKn/vBc2JXk1GORNdfPoao66MkKECd7lQ4UQIIYQQQgghhBBCaoUKpxtEf++fAGS9vy1VE1kEMtiSsd7IKZ1cdFqjGKPjoroo6EskxN9/h8fvPpVlHv6vAIDBdlJYtnUk/ZeNPelBTp//CYNv/06WfStla2xIFMbGzwbHewCA9feijvr5k8cY3hevqGhdth+eyXbDfVnHey2+TfHzf0Xvu/+i5Z8QIa9JgWQRmfPWXZa66dKUTTa/yqPDrh8lOZZxz8O3vweQXX+EkOvJ4OCPhc9tnVYqnUqZ69JY2hvXKlR4OU3LYCfzp0TLL+DvNHmb80d8q8p4WZHj8f3Wm+lnkrLJshja9357+1xlU/+VqJrL1xQhpB6i0+eIh8cAgFCVTvkMdkDOuyZcr/R1AjDV2+m8eneRbKHL8nka289U1cz5Kqgyl62KmqdMsxzrsqhb0STfj28z79VUWCbn1zTJq2laJjpmobsc2OF0g7CKp7/3OwCA3xRpIbSRsQ4DP9dxkDUesmwaSQfT6ECGwiUqwfWbHeCZSONNottub+n29TKKRwCAqPtepu+/wuj0daGM9jkZakeWdnD57/SB9tumG7rVbhalkCOtMEYH38v2D76euwFYtENo2QbgE/e7BGPw/LJjHU0qR/WC0HU0+aWOplg7mqL3XwHIrrebKlEm5ENjlo6n4M5jmXmoCSH6xYe2VOtM11mP6YbiMn+O4RpL6ICahavqXJJ912O6Wt5WlSm4zJdnBws+WNsf7HwML5CkHuxoIuTqKBuKJ5F0PIX6jB10JJgbrO1UDrMDMNNQu7KxeDZ/ch0+b+dTYbtLHnbn9j/XM/ZyTMov0qZcdnt0kXeheYbNVa1Tfm+ZNnzOhs7ZtR13xfojOpZ3W0tsxPeWy4ND6gghhBBCCCGEEEJIrVDhdAOxiEf/7T/IjKAUrVTTZ3/rfiE1pKBKJ40uODPx7tuJEeRFeogTlf/a9CLbuknUNXRu0rYmSVHHItprO07ZZPOS7j4AIHovBu12fVGOSsjNpKxSaWkbEO5+AW9dkjcEO5IkIjkJC8smw27hc4rphuLAxaLlVfXhZamelsE8aqZsnXmMV3Ofz1E2uYQRm/fcKsmJDIeP9sTA2MzBqWwi5PKx+rGc0t1MxdPoIXxNEe+XFCENnSaqUrW6O41Oz33un6Z4WmS4nVv3ipVP83CVqtdlUceojosqmmy5sqKpbPdhpEnk3mXt3dVG1Yy6osQ2ZRO5fKhwIoQQQgghhBBCCCG1QoXTDcZ6cod7fwCQ9ViHEFNuv3Mbwc4nhXUypZMwLdV1OcV1tZlqtVfHJOYd/30TWCQ6sogxeOH/KcomAAh2PhlXNmkk264nRgoI+TAw1Uo+uhzuSjuSKZ0kIYQXrskCJ+KZYGadyTBrTwxrV8reTijNl+8WMKedUE+ukvJpESVTtu4iEeRiGwBk7YDzalL/xGBT/F/MLD6NY5meHbj2oP9aPJssVTsh5Oqx57NYFehxfw/h1mcAAD8SBVOgiie7300xYp/TYedcY3GjSvF0nkdffr1ZqVLerKLq6TpxUTXTrO8w04zAy8vk26nydTrRELx/gKSn7yv0alo5qHAihBBCCCGEEEIIIbVChdMHQDnyaMqVMAjhtTcBYEzplI9KA0X/jUmZhmZROrntzxBhXlZGiKviYpkozo9ALKJsGoto63XgBSHSvoz9t6yAg3f/CICRbEI+VOzeT+MBEo2Sh3d+AiCXBVXVMJa9NNGsll4QZt4gsUYmdbtlBW2V4qmOdNzZuvNHdGdrs5abzXSxVNKleRXqVtcOqJeL+ff5bcteK+c2y1D6NQZvfyP/q2cMIWT1yHs7xcNjAEDYEd+9dOMjAIDfFl/XcrYvr72dUztlKhJguuJp1ox2sszi9bjbxgwKnQ9RBbXM7NqzvM8sqmgCiuo7UzQZ5Qx0SV9UTaPTV4jUq4nesqsHFU6EEEIIIYQQQgghpFaocPqAsOh0vtfb+XCUlE4WlTby/huzKp1kXnW0YhHFU7bu5HHg01RWyyS/3zoyViyiaJq0rhc0JyqbbMx+OSNd2j8Zyz5EZRMhBJBouatjre5W1VJZHWOeTsnJO8Dql5KCFlovWRQ6r3iaxd9Jvr+4P8g0lq1eGt/fohHk6YomI69ude2AZqHzggAAkPRPZeqUTV8BkAyl9PAj5Hphqo9BztcJABqmeIrEh89ls2t2CmonADMpnubxbp2lHi8uv1idPqva57oooZapXgLmG5ExT8a5sf8rFE0ACqomUzSZQpoZ6K4nVDgRQgghhBBCCCGEkFqhwukDxDIO5RlTOt1ST6fjrJc57+cEVGeuyyORjtnGZ0/z6piF8Z70yb3zC40RnzkLw2Lqplmj51Xbr1Q05Qma48qmzq58pWoEw3ybor1vnLKp6nohhHzYWDSx+/xvAADt3nsAQOv+L2WBnR8ByKtnH8Lry/95Xycgi1wa+Wx2s/g7VX0vyywnWl4HdUSQK78vtwflTKQVfk3Oq0mz0CXdQwBAfCj+TIO3vwMA9Pf+SZe7nj6KhJCMqkx2ANDoiLdTsHYnUzuZv5MqTyYpnpJhF2l0OtP+ZUTAfJlEl65kXbJyaBWpqy2apmiyz14obU3ZP3bMp0kz0CW9Q6doivUZY9R9JVNmoLtWUOFECCGEEEIIIYQQQmqFCqcPmCrlSuPWIwCA39GsFTlvH68r0Q+XaWiC70Y+Aj1pfPa0HumL+DvNQh0eS3UwjyfIXMqmKVmITNlkv6+RdDXLg2Wke/tbKpsIIedidXnv7a8BAMlQVJLN3i8AZOpZv3N7zNcpPZPIJbRtsSh5GqvXUxwV1E7AZMWT+76iXp0nWn7VzObfV+3TBIwrmlwWIMtEqm2At66eGUHgstBZO2D+fcO9PwCgypWQm0w+kx2QKUfCjR8haN8BAAR9meb9nQBUezzFOwCyLGLuHaGU2a7qHWFShrvs+/Mz3U07xg+JZWbGzm971neRYG3H+ThOyjxX9mmKe+8R90XZZNfnh/hb3gTY4fSBYw+S1iC01Pg1RPaSYFN7gMWxGLVNGgYxbahdlbG4zJ+9A6q8rVVnEbPZWQzBZ0l3DciDQbAlZpA2vMUov2AM3v0jABqEE0IWw9qUJJKOJ0tZHO7+GwSbDwBk9ZC/uVv4bPVR0pchHunwrND5JCuVAh1WD+bag1k6ofJcZlsyX6BhcscSMD78wwvCsQ4mZwiubbkXWtAnGz4Xn7wBAER7XwIAhgcytQd8QsiHgz2PD4++gad1QLghQ6RdB9RadQcUgtB1QjV0OtaZEOm7wxwG4+d1RJ23jXk6X1a5Q6POIMlFkxNNap/8UAPcpU5JIBsqN62DCUChk2mVfw8yOxxSRwghhBBCCCGEEEJqhQonAiBTtFhPskWPw53HAMRY1Jm/+nLZeF3pgbZodNlUHKgeZpdnkuIpX5ZJLBrpWAYXSZk9LWIxOd1oc2K02w2fc5HtO/CaOoRFVQIuzfXhUwDA4O1v5DMj2oSQGigPz2j13iO89RMA40O3bYhdsKNKzH6meLJIaDbcrrpun2Y0PrbsnAqoZTJ13zMomvLb8JrrmRm4qZPLhuB9MfTND6OODr4GkFM8M6JMCEFR7QTAKZ4aa/cAAEFbVKqNDa27w41xQ2itkwKrm5Id2XgcjamevLEhdsV3h6r6fxb1U3l701jFodbzsjTLDiNojimZJg6XM1XT8CyzZFFj+dGpjJgxw3oagd9cqHAihBBCCCGEEEIIIbVChRMpMGbKptGARhJl/huqlgman8jnrkYxyqbiOcPXWVNbT0tpPU+P91VGrM9jYUVTnqA5Md11lTF4OuwBgPPqGB08AQD03/6DfNaoAiGE1InV2/2932LUfQkAaHZ/BgAIb/0YAJzHXFmV47c3xgytTVELVWumbprzeir5PJU5TwF1/jFVt18LManOz6mZxpRM5qdodX/Op8k8mlxZS+cvVg/G6OBbAMDw4E+s/wkhMzHJYNzq9kbnY/hN9ehb0/p8khImXK9UPQEVfk+KFw8nKlSnqZfmUUGNr3u1frGLtjPnKbWqtls2/DaqfsOJSqYJnl1Jb98lFbHrJR6qXyMVTTceKpwIIYQQQgghhBBCSK1Q4UQqsajF2av/DwDQHp4iVA+Nxq1PAeQyDZV8OKAqmkKGoXJmodL+qiLG41GMyb31q9Q7Pu/476lRBqMiA91YuuuSAs1I+ycYHTwDkEW1+3u/AwAkGl0ghJBl46LhOm12X8n01k8BAI0tUc3ms2qaYsf8nfxI2htTbSb9Y/msUVXE0ZjqyShnunPzJyihJnEhzz5/koo1LH1ujimZnD9Te0s+a12fVzWZointSyTZFE2j4xcAgOHBVzJlJlJCyAWxZ+983e43RXHZWLsLYDyznReqgrXZmVjHTVI+pTnfJ1dvz+DztMgxGas0YmKe94t5RkwA0jY5/63y71KhZnL+iiVVmvkzlTPOjXo/8J3jA4YKJ0IIIYQQQgghhBBSK1Q4kalYb3Tv7a/d2FvrxR7LNKTR1sadz2S57j4S9XXKesB1w1MUT+f5Y1RFL2bt9b+oEuoi2SumRUnOUzQZ+ehDlVcTkDvXzEJECFlhTGVjfiDNLfF0CrcfAxDFk9Vzpqg1Ja3f2SnMRzICIMqexDLa5VRPQE7hpGRtTZibV1ymDsrqJZlXnXEuH+n3LcuTHaNliA0CLWsx81zaP3FtrimaoqOnAIDh8be6Dut+QsjysPeGoU4ts12gyifLbBes7cJvitopr3oCqutDmWaedeYZVK7f7R3FSJPhWPY7913l+8Rkb9mrYBaFVeUyM7xHyHLVKiZg3Jcpf45NyZQMTdEkbY9lnKM/E8lDhRMhhBBCCCGEEEIIqRUqnMhMpPEA/b3fAsh6r1vau924JYqmoBSJ9ju33f+mtrEe9WmKp0kZhGbJDHReJOIiCqVZWHYkwstnIypFzZ1nh0W4NRPdYO/3TkFACCGrhkVATYFpapzm1o+d2ino3AeQy8JZ8jEy9Y+/uQtPlT9O9WSqpagvs4cl5VMSuf/Hyza/4qlK0TQWRXbZRSVyj7BdXNdvjCmZ7HgSrevNv8pUTXH3LRVNhJCVosrnCQC84xYaa/cAAH6o7w2a4a7s91TIxlz2u8upn4AKBRRQkdV0WPjsypr387tANtJJ7yIL+0GVFbF+tUK2kMm0fJ4qFExATsWUawfz2caBcV+mZHiCJNKMc/p7sq0h06DCiRBCCCGEEEIIIYTUChVOZG5MLRMPJbra0h7v8NYXAIBg6yMAEoG26HOwJdHpVKPSFpktK57SOBzLaGdMUj7JeotHIurm3DJURCoqoxPIKZrK0XyMZ2mKjyXjU3QgviiDgz/J98wKQQi5RuQVT6bUCTd+BABodKR9CTqSlTPYkExIFtX2wrVx1ZNlcWtrtNwUQ0YyyiLd8cjNK5bpfKXTmLJJ94+gUVAuFdcJSvvJ1EymZEojq+ulLo9Pf5BpVzLCjjTbX3T6nFFmQsi1II0HY+p7G4Vgfk9+U5598wqosu/TpOfngqrUNy+oc8pUoYrKyjtJBXsxj6fJ2eRyhZ1RrVTFJB+mssorjU6dH5Pz7I3Mu1ffM+jLRBaEHU5kYfKG4kD20Nu89W8AAI2tHxXSWwNZh0mg03IHVBqdITXD17jYGVU2Gs8zrTOqzCKNw1wdWZMajykSWM/MYSekvTZcw9A/yaW7lgZ7ePAlAHD4HCHkxmAPtmYwblNLvR12PgYANDYs0HEbwdoOgFyHvQ1bM9PtUocU/EbWKbUk0opOLiAbHuc+W/vXP0LcO9RlNAHEqXYsdV/qsgwmEEJuDuXhd7Cp4je3EWgnlHVOlYfjuY4n65iaEtR15D67zhy/PHRvsWOqk8LwN2Bip1gaD7P/9Z0p1c4kewcqdyql8cAJCdi2kLrhkDpCCCGEEEIIIYQQUitUOJHaMGWNRSaapz9G2P8pAKDRUWPAcorrsuIpjjJj155KN8dkoBUprKeon8rMo4ZyzKhwyquYyhGUseFypmZa2x43jFXyiiYgM4cddd8h2v8KAM1hCSEfHhaBHdhUDcf95jYaazLMLmiL8WzZgNYUUPmU21kEvHroG4IZHpfi4jC8vGl5NmyhaFhuKqayKWvcf49R74fCsRJCyIdMMjyaWB+Wh+PlFVD2f/Ycrt+pCsoRNN1z/KRn+PH9Xkz6NMtQvbJaCaWRGolTLw3cuvZ/XsEkq3JYHLl8qHAihBBCCCGEEEIIIbVChROpnbzhq3lNNLc+BwA0th/JtKx4CkXh5DXXXNQ5UBXUWEprUz7lUnhWqZ+KZcpFEPyLG4tPimh4QbPasBCqZAImqpmAzAjcmcTmFE0AMDr6HgAwPP6OUW9CCCmRDI8wtLpR/Z4mGdFaJFuMaIv+H6ZqnRTtrmJSFDqNh5lfhk5tGZqxEkLIxRnzf6ogUzrJc7jvPmfTcb/VojqqPL84b7b3iyov2XLdn5l6Z/OdH5NTMqmKyX3uV26LkKuGCidCCCGEEEIIIYQQUitUOJGlYiqc/t5vAQANVTw1XGYhyWIXdO4DEMWTyyhUVgJVKZ/UM8MUQWM+GUZO4TRLeusy0zJaAJkfkxeETq1lnh+TIuN55ZZlJjJFU9x9CwAYnWomOj1v0yI3hBBCxjkv81GectS6HAmfRjnKXN4/IYSQq2NMGbTANqqVTe0FytKfMJ/tBbl5UOFECCGEEEIIIYQQQmqFCidyqViE2ab+8XcAgNApnj6C374NAAg2JNOQy+ZWpXwynyTNcldmTM2UzyKUlDIKTSKfraiUqWgeXw/nQaVqJlNhxac/IOnvAwBGp69kUVU00aeJEEIuj3EfjcUj4YQQQm4WVQokqpIImQ4VToQQQgghhBBCCCGkVqhwIleKKXgGOh0ef4vGmmSwC9qSwS5YuwMAmfJpbQeAKJ+8ZuadJAvpJT3JP2kGRdI8OPWSKaeSUeYjVVYy9Q5lEVUzxb33Mu3vOcUXoySEEEIIIYQQQm4C7HAiK0UaDxCdPgcANzWDPuuI8kMxDQ/WduE3N2SZUKZ+syOfrSPKLxqOVw2BO9fUu2qeS39d7FxKhl2k0an+L9O4J0bgSSTpsNm5RAghhBBCCCHkpsMhdYQQQgghhBBCCCGkVqhwIiuPKYFM8eQ4APzmNoAsZbXf3JKpqqC8oKnzi58BAPn/pxEPc2WR/5PhSfGzqpeS4bFLjU3Db0IIIYQQQgghHypUOBFCCCGEEEIIIYSQWqHCiVxrTEXkUlarP9IkvKAFL2hXfmcqqaQy5Wlfp/RdIoQQQgghhBBCzoMKJ0IIIYQQQgghhBBSK1Q4kQ+KNB5MVCkllXMJIYQQQgghhBAyL1Q4EUIIIYQQQgghhJBaYYcTIYQQQgghhBBCCKkVdjgRQgghhBBCCCGEkFphhxMhhBBCCCGEEEIIqRV2OBFCCCGEEEIIIYSQWmGHEyGEEEIIIYQQQgipFXY4EUIIIYQQQgghhJBaYYcTIYQQQgghhBBCCKkVdjgRQgghhBBCCCGEkFphhxMhhBBCCCGEEEIIqRV2OBFCCCGEEEIIIYSQWmnMslCv1wMA9OOzpRaGEELIcrD62+rzZcC2ghBCrjdsKwghhJzHPG3FTB1OT58+BQA86369eKkIIYRcOU+fPsV/+A//YWnbBthWEELIdYdtBSGEkPOYpa3w0jRNz9vQ3t4e/tN/+k94/Pgx1tbWaisgIYSQy6HX6+Hp06f4j//xP2J3d3cp+2BbQQgh1xu2FYQQQs5jnrZipg4nQgghhBBCCCGEEEJmhabhhBBCCCGEEEIIIaRW2OFECCGEEEIIIYQQQmqFHU6EEEIIIYQQQgghpFbY4UQIIYQQQgghhBBCaoUdToQQQgghhBBCCCGkVtjhRAghhBBCCCGEEEJqhR1OhBBCCCGEEEIIIaRW/n/5Zm4w33i0EwAAAABJRU5ErkJggg==", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Load phantom volume\n", - "device = 'cuda'\n", - "phantom_vol = torch.from_numpy(np.load('../data/phantom.npy')).type(torch.float32).to(device)\n", - "\n", - "show_2d(\n", - " [phantom_vol.sum(axis = 0),\n", - " phantom_vol.sum(axis = 1),\n", - " phantom_vol.sum(axis = 2)],\n", - " cmap = 'turbo',\n", - " vmin = 0,\n", - " vmax = 50\n", - ")\n" - ] - }, - { - "cell_type": "markdown", - "id": "cada1d75", - "metadata": {}, - "source": [ - "## Simulate tilt series dataset\n", - "\n", - "Create a tilt series dataset with a tilt step of 2 degrees, tilt range of (-60, 60). with a 2 degree systematic tilt axis error" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "2a8706e0", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Tilt series shape: torch.Size([61, 200, 200])\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/cedlim/quantem/quantem/src/quantem/tomography/utils.py:16: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.detach().clone() or sourceTensor.detach().clone().requires_grad_(True), rather than torch.tensor(sourceTensor).\n", - " x = torch.tensor(x, dtype=torch.float32, device=device)\n" - ] - } - ], - "source": [ - "tilt_step = 2\n", - "tilt_angles = torch.arange(-60, 61, tilt_step).type(torch.float32).to(device)\n", - "tilt_series = []\n", - "tilt_axis = 2\n", - "\n", - "for tilt_angle in tilt_angles:\n", - " tilt_series.append(rot_ZXZ(phantom_vol.unsqueeze(0), z1 = tilt_axis, x = tilt_angle, z3 = -tilt_axis, device = device).squeeze(0).sum(axis = 0))\n", - "\n", - "tilt_series = torch.stack(tilt_series)\n", - "print(\"Tilt series shape: \", tilt_series.shape)" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "88ab59b4", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig, ax = show_2d(\n", - " [tilt_series[0], tilt_series[35], tilt_series[60]],\n", - " titles = ['Tilt angle: {}'.format(tilt_angles[0]),\n", - " 'Tilt angle: {}'.format(tilt_angles[35]),\n", - " 'Tilt angle: {}'.format(tilt_angles[60])],\n", - " cmap = 'turbo',\n", - " vmin = 0,\n", - " vmax = 50\n", - ")\n" - ] - }, - { - "cell_type": "markdown", - "id": "8319c81c", - "metadata": {}, - "source": [ - "# SIRT Reconstruction\n", - "\n", - "Since most frameworks over complicate doing conventional algorithmic reconstructions, in quantEM we have simplified SIRT reconstructions while implementing additional features.\n", - "\n", - "Workflow:\n", - "1. Instantiate the tomography class:\n", - " - `tilt_series`: Tilt series stack.\n", - " - `tilt_angles`: The predefined tilt angle/$\\alpha$ tilts. (**BUG**: To match with ML reconstructions, the negative tilt angles must be inputted.)\n", - "2. Call `Tomography.sirt_recon`.\n", - " - The only parameters that need to be defined is a `Tuple` of the volume shape, and the number of iterations.\n", - " - Additional functionalities such as enforcing positivity, shrinkage, and cross-correlation inline alignment are also implemented." - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "id": "b14a3a0a", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/cedlim/quantem/quantem/src/quantem/core/utils/validators.py:407: UserWarning: tilt_series is a torch tensor on device cuda:0. Converting to CPU numpy array.\n", - " warn(\n", - "/home/cedlim/quantem/quantem/src/quantem/core/utils/validators.py:407: UserWarning: tilt_angles is a torch tensor on device cuda:0. Converting to CPU numpy array.\n", - " warn(\n" - ] - } - ], - "source": [ - "# Initialize Tomography object.\n", - "\n", - "tomo = Tomography.from_data(\n", - " tilt_series = tilt_series,\n", - " tilt_angles = -tilt_angles,\n", - " device = device,\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "id": "42750292", - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "84753ffb75af4e56b0b0f14d64e2e2c2", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "SIRT Reconstruction: 0%| | 0/10 [00:00" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Run SIRT reconstruction\n", - "\n", - "tomo.sirt_recon(\n", - " num_iterations = 10,\n", - " inline_alignment = True,\n", - " enforce_positivity = True,\n", - " volume_shape = (200, 200, 200),\n", - " reset = True,\n", - " plot_loss = True,\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "3f673cd5", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Visualization helper function\n", - "\n", - "tomo.plot_projections()" - ] - }, - { - "cell_type": "markdown", - "id": "1f6bf291", - "metadata": {}, - "source": [ - "# INR Reconstruction\n", - "\n", - "Following the same design principles at our `Ptychography` module, the INR is built to be modular and highly customizable. Similar to the previous section, we instantiate the tomography class." - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "f1e3a124", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/cedlim/quantem/quantem/src/quantem/core/utils/validators.py:407: UserWarning: tilt_series is a torch tensor on device cuda:0. Converting to CPU numpy array.\n", - " warn(\n", - "/home/cedlim/quantem/quantem/src/quantem/core/utils/validators.py:407: UserWarning: tilt_angles is a torch tensor on device cuda:0. Converting to CPU numpy array.\n", - " warn(\n" - ] - } - ], - "source": [ - "tomo = Tomography.from_data(\n", - " tilt_series = tilt_series,\n", - " tilt_angles = tilt_angles,\n", - " # device = device,\n", - ")\n", - "\n", - "# tomo.dataset.tilt_series" - ] - }, - { - "cell_type": "markdown", - "id": "7550aff1", - "metadata": {}, - "source": [ - "## Reconstruction\n", - "\n", - "The current general workflow for tomography reconstructions is as follows:\n", - "\n", - "1. Define the consistency criterion/loss function. The following loss functions are available:\n", - " - `smooth_l1`, `mse`, `l1`, `adpative_smooth_l1`, `charbonnier`, and `mse_log`\n", - " - We currently recommend using `smooth_l1` with a $\\beta=0.07$.\n", - "2. Define the choice of model architecture\n", - " - Siren, HSiren, and Finer are implemented each with their own hyperparameters.\n", - " - A predefined H-Siren model is given below as a baseline.\n", - "3. Create a `ObjectINN` class which handles the forward pass of the reconstruction loop.\n", - "4. Define the optimizer, and scheduler parameters.\n", - "5. Define the soft constraints such as total-variational loss.\n", - "6. Call `Tomography.recon`.\n", - "\n", - "The next cell below is the warm-up section for letting the model get a rough shape of the volume by scaling the number of sample points per ray. We recommend 10 epochs of warmup, prior to doing full optimization of the poses." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cf7af65d", - "metadata": {}, - "outputs": [], - "source": [ - "consistency_criterion = (\"smooth_l1\", 0.07) # Defining the loss function\n", - "\n", - "\n", - "# Instantiate the model\n", - "model = HSiren(\n", - " in_features = 3,\n", - " out_features = 1,\n", - " hidden_layers = 4,\n", - " hidden_features = 512,\n", - " first_omega_0 = 30,\n", - " alpha = 1.0,\n", - " r_first_layer = 2,\n", - " r_hidden_layers = 2,\n", - ")\n", - "\n", - "# Pass the model to the ObjectINN class with the volume shape, and device name.\n", - "obj = ObjectINN(\n", - " model = model,\n", - " volume_shape = (200, 200, 200),\n", - " device = device,\n", - ")\n", - "\n", - "# Warm-up\n", - "\n", - "epochs = 10\n", - "optimizer_params = {\n", - " \"model\": {\n", - " \"type\": \"adam\",\n", - " \"lr\": 8e-6,\n", - " }\n", - "}\n", - "\n", - "scheduler_params = {\n", - " \"model\" : {\n", - " \"type\": \"linear\",\n", - " \"start_factor\": 0.01,\n", - " \"total_iters\": epochs,\n", - " }\n", - "}\n", - "\n", - "# Define the soft constraints\n", - "soft_constraints = {\n", - " \"tv_vol\": 1e-4,\n", - "}\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "bb90a0bb", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Single GPU training\n", - "Model built, compiled successfully\n", - "Dataloader setup complete:\n", - " Total projections: 61\n", - " Grid size: 200200\n", - " Total pixels: 2,440,000\n", - " Local batch size (train): 4096\n", - " Global batch size: 4096\n", - " Train batches per GPU per epoch: 595\n", - "Using projection 30 (angle=0.00°) as reference\n", - "Using consistency criterion: ('smooth_l1', 0.07)\n", - "Epoch 0: num_samples_per_ray = 20\n", - "Epoch 1: num_samples_per_ray = 20\n", - "Epoch 2: num_samples_per_ray = 100\n", - "Epoch 2: Changing num_samples_per_ray from 20 to 100\n", - "Epoch 3: num_samples_per_ray = 100\n", - "Epoch 4: num_samples_per_ray = 100\n", - "Epoch 5: num_samples_per_ray = 150\n", - "Epoch 5: Changing num_samples_per_ray from 100 to 150\n", - "Epoch 6: num_samples_per_ray = 150\n", - "Epoch 7: num_samples_per_ray = 200\n", - "Epoch 7: Changing num_samples_per_ray from 150 to 200\n", - "Epoch 8: num_samples_per_ray = 200\n", - "Epoch 9: num_samples_per_ray = 200\n", - "Training complete.\n" - ] - } - ], - "source": [ - "\n", - "tomo.recon(\n", - " obj = obj,\n", - " batch_size = 4096,\n", - " num_workers = 0,\n", - " epochs = epochs,\n", - " optimizer_params = optimizer_params,\n", - " scheduler_params = scheduler_params,\n", - " soft_constraints = soft_constraints,\n", - " vol_save_path = \"runs/vols\",\n", - " log_path = \"runs/logs\",\n", - " val_fraction = 0.0,\n", - " learn_shifts = False,\n", - " consistency_criterion = consistency_criterion,\n", - " force_cpu = False,\n", - " viz_freq = 5\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "e61bc213", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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- "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig, ax = show_2d(\n", - " [obj.obj.sum(axis = 0).cpu().numpy(),\n", - " obj.obj.sum(axis = 1).cpu().numpy(),\n", - " obj.obj.sum(axis = 2).cpu().numpy()],\n", - " cmap = 'turbo',\n", - " vmin = 0,\n", - " vmax = 250\n", - ")" - ] - }, - { - "cell_type": "markdown", - "id": "75eaf9dd", - "metadata": {}, - "source": [ - "Next we instantiate the optimizer for the auxiliary parameters, i.e the for the poses. Then we call again `Tomography.recon`." - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "0b1ffb02", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Adding aux optimizer\n", - "Using projection 30 (angle=0.00°) as reference\n", - "Using consistency criterion: ('smooth_l1', 0.07)\n", - "Auxiliary params already set\n", - "Epoch 0: num_samples_per_ray = 200\n", - "Epoch 1: num_samples_per_ray = 200\n", - "Epoch 2: num_samples_per_ray = 200\n", - "Epoch 3: num_samples_per_ray = 200\n", - "Epoch 4: num_samples_per_ray = 200\n", - "Epoch 5: num_samples_per_ray = 200\n", - "Epoch 6: num_samples_per_ray = 200\n", - "Epoch 7: num_samples_per_ray = 200\n", - "Epoch 8: num_samples_per_ray = 200\n", - "Epoch 9: num_samples_per_ray = 200\n", - "Epoch 10: num_samples_per_ray = 200\n", - "Epoch 11: num_samples_per_ray = 200\n", - "Epoch 12: num_samples_per_ray = 200\n", - "Epoch 13: num_samples_per_ray = 200\n", - "Epoch 14: num_samples_per_ray = 200\n", - "Epoch 15: num_samples_per_ray = 200\n", - "Epoch 16: num_samples_per_ray = 200\n", - "Epoch 17: num_samples_per_ray = 200\n", - "Epoch 18: num_samples_per_ray = 200\n", - "Epoch 19: num_samples_per_ray = 200\n", - "Epoch 20: num_samples_per_ray = 200\n", - "Epoch 21: num_samples_per_ray = 200\n", - "Epoch 22: num_samples_per_ray = 200\n", - "Epoch 23: num_samples_per_ray = 200\n", - "Epoch 24: num_samples_per_ray = 200\n", - "Epoch 25: num_samples_per_ray = 200\n", - "Epoch 26: num_samples_per_ray = 200\n", - "Epoch 27: num_samples_per_ray = 200\n", - "Epoch 28: num_samples_per_ray = 200\n", - "Epoch 29: num_samples_per_ray = 200\n", - "Epoch 30: num_samples_per_ray = 200\n", - "Epoch 31: num_samples_per_ray = 200\n", - "Epoch 32: num_samples_per_ray = 200\n", - "Epoch 33: num_samples_per_ray = 200\n", - "Epoch 34: num_samples_per_ray = 200\n", - "Epoch 35: num_samples_per_ray = 200\n", - "Epoch 36: num_samples_per_ray = 200\n", - "Epoch 37: num_samples_per_ray = 200\n", - "Epoch 38: num_samples_per_ray = 200\n", - "Epoch 39: num_samples_per_ray = 200\n", - "Epoch 40: num_samples_per_ray = 200\n", - "Epoch 41: num_samples_per_ray = 200\n", - "Epoch 42: num_samples_per_ray = 200\n", - "Epoch 43: num_samples_per_ray = 200\n", - "Epoch 44: num_samples_per_ray = 200\n", - "Epoch 45: num_samples_per_ray = 200\n", - "Epoch 46: num_samples_per_ray = 200\n", - "Epoch 47: num_samples_per_ray = 200\n", - "Epoch 48: num_samples_per_ray = 200\n", - "Epoch 49: num_samples_per_ray = 200\n", - "Epoch 50: num_samples_per_ray = 200\n", - "Epoch 51: num_samples_per_ray = 200\n", - "Epoch 52: num_samples_per_ray = 200\n", - "Epoch 53: num_samples_per_ray = 200\n", - "Epoch 54: num_samples_per_ray = 200\n", - "Epoch 55: num_samples_per_ray = 200\n", - "Epoch 56: num_samples_per_ray = 200\n", - "Epoch 57: num_samples_per_ray = 200\n", - "Epoch 58: num_samples_per_ray = 200\n", - "Epoch 59: num_samples_per_ray = 200\n", - "Epoch 60: num_samples_per_ray = 200\n", - "Epoch 61: num_samples_per_ray = 200\n", - "Epoch 62: num_samples_per_ray = 200\n", - "Epoch 63: num_samples_per_ray = 200\n", - "Epoch 64: num_samples_per_ray = 200\n", - "Epoch 65: num_samples_per_ray = 200\n", - "Epoch 66: num_samples_per_ray = 200\n", - "Epoch 67: num_samples_per_ray = 200\n", - "Epoch 68: num_samples_per_ray = 200\n", - "Epoch 69: num_samples_per_ray = 200\n", - "Epoch 70: num_samples_per_ray = 200\n", - "Epoch 71: num_samples_per_ray = 200\n", - "Epoch 72: num_samples_per_ray = 200\n", - "Epoch 73: num_samples_per_ray = 200\n", - "Epoch 74: num_samples_per_ray = 200\n", - "Epoch 75: num_samples_per_ray = 200\n", - "Epoch 76: num_samples_per_ray = 200\n", - "Epoch 77: num_samples_per_ray = 200\n", - "Epoch 78: num_samples_per_ray = 200\n", - "Epoch 79: num_samples_per_ray = 200\n", - "Epoch 80: num_samples_per_ray = 200\n", - "Epoch 81: num_samples_per_ray = 200\n", - "Epoch 82: num_samples_per_ray = 200\n", - "Epoch 83: num_samples_per_ray = 200\n", - "Epoch 84: num_samples_per_ray = 200\n", - "Epoch 85: num_samples_per_ray = 200\n", - "Epoch 86: num_samples_per_ray = 200\n", - "Epoch 87: num_samples_per_ray = 200\n", - "Epoch 88: num_samples_per_ray = 200\n", - "Epoch 89: num_samples_per_ray = 200\n", - "Training complete.\n" - ] - } - ], - "source": [ - "# Begin Pose Optimization\n", - "\n", - "epochs = 90\n", - "\n", - "print(\"Adding aux optimizer\")\n", - "tomo._add_optimizer(\n", - " \"aux_params\",\n", - " tomo.dataset.auxiliary_params.parameters(),\n", - " {\n", - " \"type\": \"adam\",\n", - " # \"lr\": 1.5e-5,\n", - " \"lr\": 5e-2,\n", - " }\n", - ")\n", - "scheduler_params = {\n", - " \"aux_params\": {\n", - " \"type\": \"cosine_annealing\",\n", - " \"T_max\": epochs,\n", - " },\n", - " \"model\": {\n", - " \"type\": \"cosine_annealing\",\n", - " \"T_max\": epochs,\n", - " }\n", - "}\n", - "\n", - "tomo.recon(\n", - " obj = obj,\n", - " batch_size = 1024,\n", - " num_workers = 0,\n", - " scheduler_params = scheduler_params,\n", - " epochs = epochs,\n", - " soft_constraints = soft_constraints,\n", - " viz_freq = 5,\n", - " vol_save_path = \"runs/vols\",\n", - " log_path = \"runs/logs\",\n", - " consistency_criterion = consistency_criterion,\n", - " # model_weights_path = log_path / \"model_weights.pth\",\n", - ")\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "0aaa628d", - "metadata": {}, - "outputs": [], - "source": [ - "recon_vol = obj.obj.detach().cpu().numpy().transpose(2, 1, 0) #TODO: Fix the orientation of the volume" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "a8b11395", - "metadata": {}, - "outputs": [], - "source": [ - "# Normalizing both SIRT and INR volumes\n", - "recon_vol/= recon_vol.max() \n", - "sirt_recon_vol = tomo.sirt_recon_vol.obj/tomo.sirt_recon_vol.obj.max()" - ] - }, - { - "cell_type": "code", - "execution_count": 54, - "id": "b06c53d6", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "SSIM (INR): 0.9496969490287591\n", - "SSIM (SIRT): 0.883921224092619\n" - ] - }, - { - "data": { - "image/png": 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", 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Show Metrics\n", - "\n", - "from skimage.metrics import structural_similarity as ssim\n", - "\n", - "gt_slice = phantom_vol[:, :, 100].detach().cpu().numpy()\n", - "inr_slice = recon_vol[:, :, 100]\n", - "sirt_slice = sirt_recon_vol[:, :, 100].detach().cpu().numpy()\n", - "\n", - "\n", - "ssim_inr = ssim(inr_slice, gt_slice, data_range = inr_slice.max())\n", - "ssim_sirt = ssim(sirt_slice, gt_slice, data_range = sirt_slice.max())\n", - "\n", - "print(f\"SSIM (INR): {ssim_inr}\")\n", - "print(f\"SSIM (SIRT): {ssim_sirt}\")\n", - "\n", - "fig, ax = show_2d(\n", - " [recon_vol.sum(axis = 0),\n", - " recon_vol.sum(axis = 1),\n", - " recon_vol.sum(axis = 2)],\n", - " cmap = 'turbo',\n", - " vmin = 0,\n", - " # vmax = 250\n", - ")\n", - "fig.suptitle(\"INR Reconstruction\")\n", - "fig.tight_layout()\n", - "fig, ax = show_2d(\n", - " [sirt_recon_vol.sum(axis = 0),\n", - " sirt_recon_vol.sum(axis = 1),\n", - " sirt_recon_vol.sum(axis = 2)],\n", - " cmap = 'turbo',\n", - " vmin = 0,\n", - " # vmax = 250\n", - ")\n", - "fig.suptitle(\"SIRT Reconstruction\")\n", - "fig.tight_layout()\n", - "\n", - "#" - ] - }, - { - "cell_type": "markdown", - "id": "927d2b30", - "metadata": {}, - "source": [ - "# Loading Tensorboard\n", - "\n", - "When the ML reconstruction is used a Tensorboard logging file is automatically generated. All data visualization, and loss curves can be seen below." - ] - }, - { - "cell_type": "code", - "execution_count": 55, - "id": "f284c2e3", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The tensorboard extension is already loaded. To reload it, use:\n", - " %reload_ext tensorboard\n" - ] - }, - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " " - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "TensorBoard will be available at: http://localhost:6006\n" - ] - } - ], - "source": [ - "%load_ext tensorboard\n", - "%tensorboard --logdir runs/logs/\n", - "print(f\"TensorBoard will be available at: http://localhost:6006\")\n" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": ".venv", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.3" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/notebooks/core/config.ipynb 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b/tutorials/tomography/hpc/README.md @@ -0,0 +1,84 @@ +# HPC (NERSC) Tomography Reconstructions + +Included in this folder are two files: + +- `run.sh`: Initializes all necessary parameters for `torch` to see all gpus across nodes using `torchrun`. +- `run_job.sh`: A sample job script for submitting to the Slurm scheduler. +- `tomography_recon.py`: Contains the full reconstruction script; similar to `Scripts/tomography_02_full.py` +- `tensorboard_nersc.ipynb`: A Jupyter notebook for visualizing tensorboard logs on NERSC. + +**Note: The first iteration of the reconstruction takes some time to initialize due to `multiprocessing_context="spawn"` which is a slightly slower way to initialize the multiprocessing context but is more stable across different systems.** + +# Compatibility Table + +| System | Python Ver. | PyTorch Ver. | Status | +|--------|-------------|--------------|--------| +| NERSC Perlmutter | >=3.10 | >=2.10.0 | ✅ | + +# Installing Conda Environments + +Please refer to: https://docs.nersc.gov/development/languages/python/nersc-python/. It is advised to put your environments in `/global/common/software` for the fastest performance. + +You will need to clone the quantem repository: `https://github.com/electronmicroscopy/quantem/` and install it in your conda environment using `pip install -e .`. + +## Installation Steps + +We recommend the installation order as follows: + +1. Create a conda environment in `/global/common/software` using the `--prefix` flag: + ```bash + conda create --prefix /global/common/software/your_env_name python=3.xx.xx + ``` +2. Install torch with CUDA support by looking at [PyTorch's official installation page](https://pytorch.org/get-started/locally/). **Note: Currently CUDA 13.0 is the default version of Torch that will be installed. You may want to specify the torch version if you need a specific one, see [here](https://pytorch.org/get-started/locally/) for more details**: + + ```bash + conda install pytorch torchvision torchaudio --index-url https://download.pytorch.org/whl/cuxxx + # replace xxx with your CUDA version, or remove this if CUDA 13.0 is wanted + ``` +3. Clone the `quantem` repository and install it in your conda environment: + ```bash + git clone https://github.com/electronmicroscopy/quantem.git + cd quantem + pip install -e . + ``` +4. Edit `run.sh` (for interactive nodes) and `run_job.sh` (for batch jobs): + - `run.sh`: + - Replace `/global/common/software/mxxxx/user/conda/quantem` with the path to your conda environment + - `run_job.sh`: + - Replace `mxxxx` with your NERSC project ID + - Replace `'INSERT USER HERE'` with your NERSC username + - Replace `/global/common/software/mxxxx/user/conda/quantem` with the path to your conda environment + - Adjust the number of nodes and GPUs per node as needed + - Adjust the walltime as needed (default is 4 hours) + - *If* using this script for longer jobs, change the queue from `debug` to `regular` and adjust the walltime accordingly. +5. (Optional) Here is an example of how to allocate an interactive job on Perlmutter which will instantiate all the required variables for `torchrun` and `DDP`: + + ```bash + salloc -q interactive -C gpu -A mxxxx --nodes=4 --ntasks-per-node=1 --gpus-per-node=4 --cpus-per-task=128 --time=04:00:00 + ``` + +# Shifter Docker Environment + +**3/22/2026 In Progress** + +# FAQ + +## Compatibility with HPC Systems + +These tutorials have been heavily tested using NERSC's Perlmutter system. They should work on other HPC systems with similar configurations, but may require adjustments to the module loading and conda environment paths. + +## How to run? + +There are two ways to run the script across multiple nodes. On Perlmutter, you can launch an interactive job using `salloc`. The maximum amount of time for an interactive job is 4 hours, and the command for allocating one can be used here: + +`salloc -q interactive -C gpu -A m5241 --nodes=4 --ntasks-per-node=1 --gpus-per-node=4 --cpus-per-task=32 --time=04:00:00` + +Once the job is allocated, you can just run `sh run.sh` or `batch run.sh`. + +Alternatively, you can submit a job using `sbatch run_job.sh`. Usual parameters can be adjusted within the file. + +These files should work on these tutorial files, but will potentially require adjustments when using your own data. + +## Tensorboard Visualization + +See `tensorboard_nersc.ipynb` for an example of how to visualize tensorboard logs on NERSC. For different HPC systems, you may need to use a different method to visualize tensorboard logs via port-forwarding. \ No newline at end of file diff --git a/tutorials/tomography/hpc/run.sh b/tutorials/tomography/hpc/run.sh new file mode 100644 index 0000000..2316106 --- /dev/null +++ b/tutorials/tomography/hpc/run.sh @@ -0,0 +1,31 @@ +#!/bin/bash + +export MASTER_ADDR=$(scontrol show hostnames $SLURM_JOB_NODELIST | head -n 1) +export MASTER_PORT=29500 +export OMP_NUM_THREADS=8 + +echo "=== Loading modules ===" +ml nccl/2.29.2-cu13 +ml cudatoolkit/13.0 +ml conda +echo "=== Loaded modules ===" +module list + +echo "=== Activating conda env ===" +conda activate /global/common/software/mxxxx/user/conda/quantem # CHANGE: Replace with the path to your conda environment +echo "=== Active conda env ===" +echo "CONDA_DEFAULT_ENV: $CONDA_DEFAULT_ENV" +echo "CONDA_PREFIX: $CONDA_PREFIX" + +echo "=== Python being used ===" +which python +python --version + +echo "=== Key packages ===" +python -c "import torch; print('torch:', torch.__version__, '| CUDA:', torch.cuda.is_available())" + +echo "=== NCCL ===" +echo "NCCL_HOME: $NCCL_HOME" + +echo "=== Starting srun ===" +srun -l torchrun --nnodes=$SLURM_JOB_NUM_NODES --nproc-per-node=$SLURM_GPUS_PER_NODE --rdzv-backend=c10d --rdzv-endpoint=$MASTER_ADDR:$MASTER_PORT tomography_recon.py \ No newline at end of file diff --git a/tutorials/tomography/hpc/run_job.sh b/tutorials/tomography/hpc/run_job.sh new file mode 100644 index 0000000..cea7526 --- /dev/null +++ b/tutorials/tomography/hpc/run_job.sh @@ -0,0 +1,21 @@ +#!/bin/bash +#SBATCH -A mxxxx # CHANGE: Replace with your NERSC project ID +#SBATCH -C gpu +#SBATCH -q debug # CHANGE: Replace with 'regular' for longer jobs +#SBATCH -t 00:30:00 # CHANGE: Adjust walltime as needed +#SBATCH -N 4 # CHANGE: Adjust number of nodes as needed +#SBATCH --ntasks-per-node=1 +#SBATCH -c 128 +#SBATCH --gpus-per-node=4 +#SBATCH --gpu-bind=none +#SBATCH --mail-type=begin,end,fail +#SBATCH --mail-user=xxx@xxx.xxx # CHANGE: Replace with your email address + +export MASTER_ADDR=$(scontrol show hostnames $SLURM_JOB_NODELIST | head -n 1) +export MASTER_PORT=29500 +export OMP_NUM_THREADS=8 +ml nccl/2.29.2-cu13 +ml conda +ml nccl +conda activate /global/common/software/mxxxx/'INSERT USER HERE'/conda/quantem # CHANGE: Replace 'INSERT USER HERE' with your NERSC username and update path to your conda environment +srun -l torchrun --nnodes=$SLURM_JOB_NUM_NODES --nproc-per-node=$SLURM_GPUS_PER_NODE --rdzv-backend=c10d --rdzv-endpoint=$MASTER_ADDR:$MASTER_PORT tomography_recon.py diff --git a/tutorials/tomography/hpc/tensorboard_nersc.ipynb b/tutorials/tomography/hpc/tensorboard_nersc.ipynb new file mode 100644 index 0000000..e5cb87b --- /dev/null +++ b/tutorials/tomography/hpc/tensorboard_nersc.ipynb @@ -0,0 +1,58 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "8e4ba3b3", + "metadata": {}, + "source": [ + "# Tensorboard Visualizer on NERSC\n", + "\n", + "At NERSC, they have package helpers to display tensorboard logging. If NERSC is the platform you are using, go to `jupyter.nersc.gov` with the environment `pytorch-2.6.0`. Below is an example of how to visualize tensorboard logs." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e4ed42ca", + "metadata": {}, + "outputs": [], + "source": [ + "import nersc_tensorboard_helper\n", + "%load_ext tensorboard" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5aa635d1", + "metadata": {}, + "outputs": [], + "source": [ + "%tensorboard --logdir /global/homes/x/user/quantem-tutorials/outputs" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9965fcd8", + "metadata": {}, + "outputs": [], + "source": [ + "nersc_tensorboard_helper.tb_address()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "name": "python", + "version": "3.12.7" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/tutorials/tomography/hpc/tomography_recon.py b/tutorials/tomography/hpc/tomography_recon.py new file mode 100644 index 0000000..e6c310d --- /dev/null +++ b/tutorials/tomography/hpc/tomography_recon.py @@ -0,0 +1,173 @@ +from quantem.tomography.tomography import Tomography +from quantem.tomography.dataset_models import TomographyINRDataset, DatasetConstraintParams +from quantem.tomography.object_models import ObjectINR, ObjConstraintParams +from quantem.tomography.logger_tomography import LoggerTomography +from quantem.core.ml.inr import HSiren +from quantem.core.ml.optimizer_mixin import SchedulerParams, OptimizerParams +import numpy as np + +from quantem.core.utils.tomography_utils import fourier_binning +import torch + +""" +Example script to run the tomography reconstruction on HPC (NERSC). + +- Major difference is not needing to specify the device, as it will be automatically set by the DDP framework. + +*Cedric Lim, 3/22/26* +""" + +if __name__ == "__main__": + + # Load Phantom Dataset + tilt_series = np.load('../../../data/tilt_series_1_deg_tilt_axis.npy') + tilt_angles = np.load('../../../data/tilt_angles_1_deg_tilt_axis.npy') + + tilt_series = np.array([fourier_binning(img, (100, 100)) for img in tilt_series]) # Cropped down to 100x100 for speed + + dset = TomographyINRDataset.from_data( + tilt_stack = tilt_series, + tilt_angles = tilt_angles, + ) + + # Initialize INR Model + model = HSiren(alpha = 1, winner_initialization = True) + + # Initialize INR Object + obj_inr = ObjectINR.from_model( + shape = (100, 100, 100), + model = model, + ) + + # Define a logger + logger = LoggerTomography( + log_dir = "../../../outputs/tomography/tutorial_02_scripts/", + run_prefix = "inr_tomography_warmup_cosineanneal_hpc", + run_suffix = "", + log_images_every = 2, + ) + + + # Initialize INR-Based Tomography Object + tomo_inr = Tomography.from_models( + dset = dset, + obj_model = obj_inr, + logger = logger, + verbose = False, + ) + + if tomo_inr.global_rank == 0: + print(f"Logs and Outputs will be saved at {logger.log_dir}") + + # Define optimizer and scheduler parameters - only optimizing the object. + + optimizer_params = { + "object": OptimizerParams.Adam( + lr = 1e-4, + ), + "pose": OptimizerParams.Adam( + lr = 1e-2, + ) + } + """ + All available scheduler params are in `core/ml/optimizer_mixin.py` + + Scheduler types: 'cyclic', 'plateau', 'exp', 'gamma', 'linear', 'cosine_annealing' + Keyword arguments follow PyTorch scheduler documentation. + """ + + scheduler_params = { + "object": SchedulerParams.Plateau( + mode = "min", + factor = 0.5, + patience = 10, + threshold = 1e-3, + min_lr = 1e-7, + ), + "pose": SchedulerParams.Plateau( + mode = "min", + factor = 0.5, + patience = 10, + threshold = 1e-3, + min_lr = 1e-7, + ) + } + + """ + Defining the constraints that we want to apply to the object and dataset. In this case + adding a total-variational loss, enforcing positivity, and a shrinkage constraint. + + For the dataset we can add a 1-D total-variational loss to the shifts and z-shifts. + However this may not be necessary depending on the dataset. + """ + + obj_constraints = ObjConstraintParams.ObjINRConstraints( + positivity = True, + sparsity = 1e-6, + tv_vol = 1e-4, + ) + + ## Dataset constraints not necessarily needed. + + dataset_constraints = DatasetConstraintParams.BaseTomographyDatasetConstraints( + tv_shifts = 1e-6, # 1-D regularizer for the shift optimization + tv_zs = 1e-6, # 1-D regularizer for the z-shift optimization. + ) + + + # Warmup Schedule for 10 epochs + + num_samples_per_ray = [ + (0, 20), + (1, 20), + (2, 40), + (3, 40), + (4, 60), + (4, 60), + (6, 80), + (7, 80), + (8, 100), + (9, 100), + ] + + tomo_inr.reconstruct( + num_iter = 10, + batch_size = 256, + optimizer_params = optimizer_params, + scheduler_params = scheduler_params, + obj_constraints = obj_constraints, + dset_constraints = dataset_constraints, + num_samples_per_ray = num_samples_per_ray, + num_workers = 32, + ) + + # Initialzie pose optimizer + + optimizer_params = { + "pose": { + "type": "adam", + "lr": 1e-2, + } + } + + # Define new schedulers for both optimizers using CosineAnnealing + scheduler_params = { + "object": { + "type": "cosine_annealing", + }, + "pose": { + "type": "cosine_annealing", + } + } + + # Reconstruct + + tomo_inr.reconstruct( + num_iter = 100, + optimizer_params = optimizer_params, + scheduler_params = scheduler_params, + num_samples_per_ray = 100, + ) + + # Clean up distributed training, good practice to put this at the end of the script. + torch.distributed.destroy_process_group() \ No newline at end of file diff --git a/tutorials/tomography/notebooks/README.md b/tutorials/tomography/notebooks/README.md new file mode 100644 index 0000000..71bee68 --- /dev/null +++ b/tutorials/tomography/notebooks/README.md @@ -0,0 +1,11 @@ +# Tomography Reconstruction Notebooks + +Included in this folder are three files: + +- `tomography_01_lite.ipynb`: A lite version of the reconstruction notebook, useful for quick testing and debugging. +- `tomography_02_full.ipynb`: The full reconstruction notebook, containing all the necessary code for a complete reconstruction. +- `tomography_03_preprocessing.ipynb`: A notebook for preprocessing the data before reconstruction. # IN PROGRESS + +# Multi-GPU Support + +These notebooks are not intended for multi-node or multi-GPU workflows and are designed for single-GPU use only. There are currently no clean ways of running a notebook with multiple GPUs, please see the `hpc` directory for multi-GPU support through scripts using `torchrun`. \ No newline at end of file diff --git a/tutorials/tomography/notebooks/tomography_01_lite.ipynb b/tutorials/tomography/notebooks/tomography_01_lite.ipynb new file mode 100644 index 0000000..e77476e --- /dev/null +++ b/tutorials/tomography/notebooks/tomography_01_lite.ipynb @@ -0,0 +1,644 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "94540c4a", + "metadata": {}, + "source": [ + "# Tomography Lite Tutorial\n", + "*Cedric Lim, March 23, 2026*\n", + "\n", + "This tutorial shows the usage of `TomographyLite` for conventional and machine-learning enabled reconstruction methods. These methods abstract arguments in the instantiation of the top-level `Tomography` class, i.e instantiation of object and dataset models. \n", + "\n", + "See `tomography_02_full.ipynb` to see the full reconstruction workflow." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "0a42644c", + "metadata": {}, + "outputs": [], + "source": [ + "%load_ext autoreload\n", + "%autoreload 2" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "fe59b497", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/cedlim/quantem/quantem/.venv/lib/python3.12/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n" + ] + } + ], + "source": [ + "from quantem.tomography.tomography_lite import TomographyLiteConv, TomographyLiteINR\n", + "from quantem.tomography.object_models import ObjConstraintParams\n", + "from quantem.tomography.dataset_models import DatasetConstraintParams\n", + "import numpy as np\n", + "from quantem.core.visualization import show_2d\n", + "\n", + "from quantem.core.utils.tomography_utils import fourier_binning\n", + "\n", + "device = \"cuda:0\" # Set device" + ] + }, + { + "cell_type": "markdown", + "id": "343ac358", + "metadata": {}, + "source": [ + "# Launch Tensorboard\n", + "\n", + "The `quantem` Tomography module fully supports Tensorboard logging. You can potentially run Tensorboard by running the below cells, but it is much safer to launch it with your respective `quantem` environment using this command in terminal:\n", + "\n", + "```\n", + "tensorboard --logdir ../../../outputs/tomography/tutorial_01_notebooks/\n", + "```\n", + "*Note: Make sure the log directory is correct, I'm assuming terminal is within the notebook directory. In VSCode/VSCode forks, a port should automatically be port-forwarded. If not, you will have to figure out a way to manually port-forward the tensorboard (e.g. using `ssh -L :localhost: @`)*\n", + "\n", + "\n", + "You may attempt to run the two cells to see if Tensorboard will display inline in the notebook." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e98b9524", + "metadata": {}, + "outputs": [], + "source": [ + "%load_ext tensorboard\n", + "%tensorboard --logdir ../../../outputs/tomography/tutorial_01_notebooks/" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f16b2cba", + "metadata": {}, + "outputs": [], + "source": [ + "from tensorboard import notebook\n", + "notebook.list() # View open TensorBoard instances\n", + "notebook.display(port=6006, height=1000)" + ] + }, + { + "cell_type": "markdown", + "id": "5165c86a", + "metadata": {}, + "source": [ + "# Loading Dataset\n", + "\n", + "The simulated phantom dataset loaded here is a sparse tilt seriesw ith a tilt step of 5 degrees from $\\pm70^\\circ$ containing a $1^\\circ$ tilt-axis error in the tilt series " + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "a4568103", + "metadata": {}, + "outputs": [], + "source": [ + "# Load Ground Truth Phantom\n", + "gt_phantom = np.load('../../../data/phantom.npy').transpose(2, 0, 1)\n", + "# Load Phantom Dataset\n", + "tilt_series = np.load('../../../data/tilt_series_1_deg_tilt_axis.npy')\n", + "tilt_angles = np.load('../../../data/tilt_angles_1_deg_tilt_axis.npy')\n", + "\n", + "# Fourier crop\n", + "tilt_series = np.array([fourier_binning(img, (100, 100)) for img in tilt_series]) # Cropped down to 100x100 for speed\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "5c326f92", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(
,\n", + " array([,\n", + " ,\n", + " ], dtype=object))" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "show_2d(\n", + " [tilt_series[0], tilt_series[7], tilt_series[25]],\n", + " title = [f'Tilt {tilt_angles[0]}', f'Tilt {tilt_angles[7]}', f'Tilt {tilt_angles[25]}'],\n", + " cmap = 'turbo',\n", + " vmin = 0,\n", + " vmax = None,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "9864d995", + "metadata": {}, + "source": [ + "# Conventional Tomography Reconstructions\n", + "\n", + "The default conventional algorithm is simultaneous iterative reconstruction technique (**SIRT**)." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "7fb61c3c", + "metadata": {}, + "outputs": [], + "source": [ + "tomography = TomographyLiteConv.from_dataset(\n", + " tilt_series = tilt_series,\n", + " tilt_angles = tilt_angles,\n", + " device = device,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "d4aaff4b", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "sirt Reconstruction | Loss: 0.0000: 0%| | 0/30 [00:00" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "tomography.reconstruct(\n", + " num_iter = 30,\n", + " mode = \"sirt\",\n", + " inline_alignment = True,\n", + " smoothing_sigma = 0.1,\n", + " show_metrics = True\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "87200fa7", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(
,\n", + " array([,\n", + " ,\n", + " ],\n", + " dtype=object))" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "obj_conv = tomography.obj_model.obj.detach().cpu().numpy()\n", + "show_2d(\n", + " [obj_conv.sum(axis = 0), obj_conv.sum(axis = 1), obj_conv.sum(axis = 2)],\n", + " title = ['Conventional Reconstruction Summed X', 'Conventional Reconstruction Summed Y', 'Conventional Reconstruction Summed Z'],\n", + " cmap = 'turbo',\n", + " vmin = 0,\n", + " vmax = None,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "d8c7cbcc", + "metadata": {}, + "source": [ + "The reconstruction here shows artifacts from the small missing wedges due to the large tilt step. Moreover, in the summed Z direction there are some misalignment artifacts due to the tilt-axis error." + ] + }, + { + "cell_type": "markdown", + "id": "26874201", + "metadata": {}, + "source": [ + "# INR-Based Tomography Reconstruction" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "70cade3a", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Model built, compiled successfully\n", + "Setting up DDP for obj_model\n" + ] + } + ], + "source": [ + "tomography_inr = TomographyLiteINR.from_dataset(\n", + " tilt_series = tilt_series,\n", + " tilt_angles = tilt_angles,\n", + " device = device,\n", + " log_dir = '../../../outputs/tomography/tutorial_01_notebooks/tomo_inr_lite',\n", + " log_images_every = 2,\n", + ")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "9c909f6f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Dataloader setup complete:\n", + " Total train samples: 290000\n", + " Local batch size: 1024\n", + " Global batch size: 1024\n", + " Train batches per GPU per epoch: 283\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Reconstruction | Loss: 5.07070e-04, Consistency Loss: 4.42758e-05, Soft Constraint Loss: 4.62794e-04 | Images Logged: 100%|██████████| 50/50 [04:04<00:00, 4.88s/it]\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "obj_constraints = ObjConstraintParams.ObjINRConstraints(\n", + " positivity=True,\n", + " tv_vol=1e-4,\n", + " sparsity=1e-6,\n", + ")\n", + "\n", + "dset_constraints = DatasetConstraintParams.BaseTomographyDatasetConstraints(\n", + " tv_zs = 1e-6,\n", + " tv_shifts = 1e-6,\n", + ")\n", + "\n", + "# First iteration of the reconstruct call will be slow due to @torch.compile.\n", + "# Subsequent calls will be faster.\n", + "tomography_inr.reconstruct(\n", + " num_iter = 50,\n", + " # reset = True,\n", + " obj_lr = 5e-5,\n", + " pose_lr = 1e-2,\n", + " batch_size = 1024,\n", + " num_workers = 32,\n", + " learn_pose = True,\n", + " scheduler_type = \"cosine_annealing\",\n", + " obj_constraints = obj_constraints,\n", + " dset_constraints = dset_constraints,\n", + " show_metrics = True,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "3998cbc1", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(
,\n", + " array([,\n", + " ,\n", + " ],\n", + " dtype=object))" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "obj_inr = tomography_inr.obj_model.obj_view\n", + "show_2d(\n", + " [obj_inr[0].sum(axis = 0), obj_inr[0].sum(axis = 1), obj_inr[0].sum(axis = 2)],\n", + " cmap = 'turbo',\n", + " title = ['INR-Based Reconstruction Summed X', 'INR-Based Reconstruction Summed Y', 'INR-Based Reconstruction Summed Z'],\n", + " vmin = 0,\n", + " vmax = None,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "c24690a7", + "metadata": {}, + "source": [ + "# Compare Both Reconstruction Methods" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "1815bc3e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(
,\n", + " array([[,\n", + " ,\n", + " ],\n", + " [,\n", + " ,\n", + " ],\n", + " [,\n", + " ,\n", + " ]],\n", + " dtype=object))" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "show_2d(\n", + " [\n", + " [obj_conv.sum(axis = 0), obj_conv.sum(axis = 1), obj_conv.sum(axis = 2)],\n", + " [obj_inr[0].sum(axis = 0), obj_inr[0].sum(axis = 1), obj_inr[0].sum(axis = 2)],\n", + " [fourier_binning(gt_phantom.sum(axis = 0), (100, 100)), fourier_binning(gt_phantom.sum(axis = 1), (100, 100)), fourier_binning(gt_phantom.sum(axis = 2), (100, 100))],\n", + " ],\n", + " title = [\n", + " ['Conventional Reconstruction Summed X', 'Conventional Reconstruction Summed Y', 'Conventional Reconstruction Summed Z'],\n", + " ['INR-Based Reconstruction Summed X', 'INR-Based Reconstruction Summed Y', 'INR-Based Reconstruction Summed Z'],\n", + " ['Ground Truth Phantom Summed X', 'Ground Truth Phantom Summed Y', 'Ground Truth Phantom Summed Z']\n", + " ],\n", + " cmap = 'turbo',\n", + " vmin = 0,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "ea9833e4", + "metadata": {}, + "source": [ + "# Saving the Object" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "f7c0fed1", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "falling back in serialize for _device of type \n", + "falling back in serialize for object of type \n", + "falling back in serialize for pose of type \n" + ] + } + ], + "source": [ + "tomography_inr.save(\"../../../outputs/tomography/tutorial_01_notebooks/tomo_inr_lite/tomo_lite.zip\", mode = \"o\")" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "d7f0fe58", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Dataloader setup complete:\n", + " Total train samples: 290000\n", + " Local batch size: 1024\n", + " Global batch size: 1024\n", + " Train batches per GPU per epoch: 283\n" + ] + } + ], + "source": [ + "# The device is important as it will automatically default to the CPU if not specified causing CUDA errors.\n", + "tomo = TomographyLiteINR.from_file(\"../../../outputs/tomography/tutorial_01_notebooks/tomo_inr_lite/tomo_lite.zip\", device = device)" + ] + }, + { + "cell_type": "markdown", + "id": "dba6b92b", + "metadata": {}, + "source": [ + "You can continue training from the loaded object as well." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "41c8abdd", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Reconstruction | Loss: 5.68496e-04, Consistency Loss: 1.02169e-04, Soft Constraint Loss: 4.66327e-04: 100%|██████████| 5/5 [00:37<00:00, 7.45s/it] \n" + ] + } + ], + "source": [ + "tomo.reconstruct(num_iter = 5)" + ] + }, + { + "cell_type": "markdown", + "id": "53999711", + "metadata": {}, + "source": [ + "# Saving Final Reconstructed Volume" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "debb8235", + "metadata": {}, + "outputs": [], + "source": [ + "tomography_inr.save_volume(\"../../../outputs/tomography/tutorial_01_notebooks/tomo_inr_lite/tomo_lite_volume.npz\")" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "dafd159a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(
,\n", + " array([,\n", + " ,\n", + " ], dtype=object))" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "saved_vol = np.load(\"../../../outputs/tomography/tutorial_01_notebooks/tomo_inr_lite/tomo_lite_volume.npz\")\n", + "show_2d(\n", + " [\n", + " saved_vol[\"volume\"][0].sum(axis = 0),\n", + " saved_vol[\"volume\"][0].sum(axis = 1),\n", + " saved_vol[\"volume\"][0].sum(axis = 2),\n", + " ],\n", + " title = [\n", + " \"Summed X\",\n", + " \"Summed Y\",\n", + " \"Summed Z\",\n", + " ],\n", + " cmap = \"turbo\",\n", + " vmin = 0,\n", + " vmax = None,\n", + ")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.7" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/tutorials/tomography/notebooks/tomography_02_full.ipynb b/tutorials/tomography/notebooks/tomography_02_full.ipynb new file mode 100644 index 0000000..4ca7e5f --- /dev/null +++ b/tutorials/tomography/notebooks/tomography_02_full.ipynb @@ -0,0 +1,1538 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "59eae4ad", + "metadata": {}, + "source": [ + "# Tomography Tutorial\n", + "*Cedric Lim, March 22, 2026*\n", + "\n", + "This tutorial shows the usage of `TomographyFull` for conventional and machine-learning enabled reconstruction methods. These methods abstract arguments in the instantiation of the top-level `Tomography` class, i.e instantiation of object and dataset models. " + ] + }, + { + "cell_type": "markdown", + "id": "db10af55", + "metadata": {}, + "source": [ + "# Launch Tensorboard\n", + "\n", + "The `quantem` Tomography module fully supports Tensorboard logging. You can potentially run Tensorboard by running the below cells, but it is much safer to launch it with your respective `quantem` environment using this command in terminal:\n", + "\n", + "```\n", + "tensorboard --logdir ../../../outputs/tomography/tutorial_02_notebooks/\n", + "```\n", + "*Note: Make sure the log directory is correct, I'm assuming terminal is within the notebook directory. In VSCode/VSCode forks, a port should automatically be port-forwarded. If not, you will have to figure out a way to manually port-forward the tensorboard (e.g. using `ssh -L :localhost: @`)*\n", + "\n", + "\n", + "You may attempt to run the two cells to see if Tensorboard will display inline in the notebook." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7f6e318e", + "metadata": {}, + "outputs": [], + "source": [ + "%load_ext tensorboard\n", + "%tensorboard --logdir ../../../outputs/tomography/tutorial_02_notebooks/" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "62957779", + "metadata": {}, + "outputs": [], + "source": [ + "from tensorboard import notebook\n", + "notebook.list() # View open TensorBoard instances\n", + "notebook.display(port=6006, height=1000)" + ] + }, + { + "cell_type": "markdown", + "id": "965b0695", + "metadata": {}, + "source": [ + "# Start Tutorial" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "a4ba7742", + "metadata": {}, + "outputs": [], + "source": [ + "%load_ext autoreload\n", + "%autoreload 2" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "274272c2", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/cedlim/quantem/quantem/.venv/lib/python3.12/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n" + ] + } + ], + "source": [ + "from quantem.tomography.tomography import TomographyConventional, Tomography\n", + "from quantem.tomography.dataset_models import TomographyPixDataset, TomographyINRDataset, TomographyINRPretrainDataset, DatasetConstraintParams\n", + "from quantem.tomography.object_models import ObjectINR, ObjectPixelated, ObjConstraintParams\n", + "from quantem.tomography.logger_tomography import LoggerTomography\n", + "from quantem.core.ml.inr import HSiren\n", + "from quantem.core.ml.optimizer_mixin import SchedulerParams, OptimizerParams\n", + "import numpy as np\n", + "\n", + "from quantem.core.utils.tomography_utils import fourier_binning\n", + "from quantem.core.visualization import show_2d\n", + "import torch\n", + "\n", + "device = 'cuda:1' # Set device" + ] + }, + { + "cell_type": "markdown", + "id": "628ba5b7", + "metadata": {}, + "source": [ + "# Loading Simulated Phantom Dataset\n", + "\n", + "For this tutorial we will be using a tilt series generated from a simulated phantom. For speed, each tilt image is binned down to (100, 100). However, you may comment the `fourier_binning` line to use the full resolution tilt series." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "d64fe2c5", + "metadata": {}, + "outputs": [], + "source": [ + "tilt_series = np.load('../../../data/tilt_series_1_deg_tilt_axis.npy')\n", + "tilt_angles = np.load('../../../data/tilt_angles_1_deg_tilt_axis.npy')\n", + "\n", + "tilt_series = np.array([fourier_binning(img, (100, 100)) for img in tilt_series]) # Cropped down to 100x100 for speed\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "b7492f15", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(
,\n", + " array([,\n", + " ,\n", + " ], dtype=object))" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "show_2d(\n", + " [tilt_series[0], tilt_series[7], tilt_series[25]],\n", + " title = [f'Tilt {tilt_angles[0]}', f'Tilt {tilt_angles[7]}', f'Tilt {tilt_angles[25]}'],\n", + " cmap = 'turbo',\n", + " vmin = 0,\n", + " vmax = None,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "3ab43c8c", + "metadata": {}, + "source": [ + "# Conventional Tomography Reconstructions" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "80857b4c", + "metadata": {}, + "outputs": [], + "source": [ + "# Initialize dataset by including the tilt series and tilt angles\n", + "dset = TomographyPixDataset.from_data(\n", + " tilt_stack = tilt_series,\n", + " tilt_angles = tilt_angles,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "7ff07df8", + "metadata": {}, + "outputs": [], + "source": [ + "# Initialize object by defining the shape and passing the device.\n", + "\n", + "obj_pix = ObjectPixelated.from_uniform(\n", + " shape = (100, 100, 100), \n", + " device = device,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "2ada5612", + "metadata": {}, + "outputs": [], + "source": [ + "# Initialize conventional tomography object. It is required to pass the dataset and object model.\n", + "\n", + "tomo_conv = TomographyConventional.from_models(\n", + " dset = dset,\n", + " obj_model = obj_pix,\n", + " device = device,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "29ac24d5", + "metadata": {}, + "outputs": [], + "source": [ + "# Define Constraints (currently for conventional algorithms, only constraints to the objects are supported)\n", + "\n", + "obj_constraints = ObjConstraintParams.ObjPixelatedConstraints(\n", + " positivity = True,\n", + " shrinkage = 0,\n", + " tv_vol = 0,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "50654b27", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "sirt Reconstruction | Loss: 0.0256: 100%|██████████| 30/30 [00:00<00:00, 31.86it/s]\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Reconstruct call\n", + "tomo_conv.reconstruct(\n", + " num_iter = 30,\n", + " obj_constraints = obj_constraints,\n", + " inline_alignment = True,\n", + " smoothing_sigma = 0.1,\n", + " show_metrics=True\n", + ")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "9cd5aabe", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Can also print at anytime the losses.\n", + "tomo_conv.plot_losses()" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "ccfc16b6", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(
,\n", + " array([,\n", + " ,\n", + " ],\n", + " dtype=object))" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Visualize conventional reconstruction results using `show_2d`\n", + "\n", + "show_2d(\n", + " [obj_pix.obj.sum(axis = 0), obj_pix.obj.sum(axis = 1), obj_pix.obj.sum(axis = 2)],\n", + " cmap = 'turbo',\n", + " title = ['Conventional Reconstruction Summed X', 'Conventional Reconstruction Summed Y', 'Conventional Reconstruction Summed Z'],\n", + " vmin = 0,\n", + " vmax = None,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "62f3f5f5", + "metadata": {}, + "source": [ + "# INR-Based Tomography Reconstruction" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "96c92a85", + "metadata": {}, + "outputs": [], + "source": [ + "dset = TomographyINRDataset.from_data(\n", + " tilt_stack = tilt_series,\n", + " tilt_angles = tilt_angles,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "8216cf4e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Model built, compiled successfully\n" + ] + } + ], + "source": [ + "# Initialize INR Model\n", + "model = HSiren(alpha = 1, winner_initialization = True)\n", + "\n", + "# Initialize INR Object\n", + "obj_inr = ObjectINR.from_model(\n", + " shape = (100, 100, 100),\n", + " device = device,\n", + " model = model,\n", + ")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "1c9956d3", + "metadata": {}, + "outputs": [], + "source": [ + "# Define a logger\n", + "logger = LoggerTomography(\n", + " log_dir = \"../../../outputs/tomography/tutorial_02_notebooks/\",\n", + " run_prefix = \"inr_tomography\",\n", + " run_suffix = \"\",\n", + " log_images_every = 2,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "c4a3675a", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Setting up DDP for obj_model\n" + ] + } + ], + "source": [ + "# Initialize INR-Based Tomography Object\n", + "tomo_inr = Tomography.from_models(\n", + " dset = dset,\n", + " obj_model = obj_inr,\n", + " device = device,\n", + " logger = logger,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "fcacbf0f", + "metadata": {}, + "outputs": [], + "source": [ + "# Define optimizer and scheduler parameters\n", + "\n", + "# optimizer_params = {\n", + "# \"object\": {\n", + "# \"type\": \"adam\", # Optimizer type.\n", + "# \"lr\": 1e-4, # Learning rate.\n", + "# },\n", + "# \"pose\": {\n", + "# \"type\": \"adam\", # Optimizer type.\n", + "# \"lr\": 1e-2, # Learning rate.\n", + "# }\n", + "# }\n", + "\n", + "optimizer_params = {\n", + " \"object\": OptimizerParams.Adam(\n", + " lr = 5e-5,\n", + " ),\n", + " \"pose\": OptimizerParams.Adam(\n", + " lr = 1e-2,\n", + " )\n", + "}\n", + "\"\"\"\n", + "All available scheduler params are in `core/ml/optimizer_mixin.py`\n", + "\n", + "Scheduler types: 'cyclic', 'plateau', 'exp', 'gamma', 'linear', 'cosine_annealing'\n", + "Keyword arguments follow PyTorch scheduler documentation.\n", + "\"\"\"\n", + "\n", + "# scheduler_params = {\n", + "# \"object\": SchedulerParams.Plateau(\n", + "# mode = \"min\",\n", + "# factor = 0.5,\n", + "# patience = 10,\n", + "# threshold = 1e-3,\n", + "# min_lr = 1e-7,\n", + "# ),\n", + "# \"pose\": SchedulerParams.Plateau(\n", + "# mode = \"min\",\n", + "# factor = 0.5,\n", + "# patience = 10,\n", + "# threshold = 1e-3,\n", + "# min_lr = 1e-7,\n", + "# )\n", + "# }\n", + "\n", + "scheduler_params = {\n", + " \"object\": SchedulerParams.CosineAnnealing(\n", + " T_max = 50,\n", + " ),\n", + " \"pose\": SchedulerParams.CosineAnnealing(\n", + " T_max = 50,\n", + " )\n", + "}\n", + "\n", + "\"\"\"\n", + "Defining the constraints that we want to apply to the object and dataset. In this case\n", + "adding a total-variational loss, enforcing positivity, and a shrinkage constraint.\n", + "\n", + "For the dataset we can add a 1-D total-variational loss to the shifts and z-shifts.\n", + "However this may not be necessary depending on the dataset.\n", + "\"\"\"\n", + "\n", + "obj_constraints = ObjConstraintParams.ObjINRConstraints(\n", + " positivity = True,\n", + " sparsity = 1e-6,\n", + " tv_vol = 1e-4,\n", + ")\n", + "\n", + "## Dataset constraints not necessarily needed.\n", + "\n", + "dataset_constraints = DatasetConstraintParams.BaseTomographyDatasetConstraints(\n", + " tv_shifts = 1e-6, # 1-D regularizer for the shift optimization\n", + " tv_zs = 1e-6, # 1-D regularizer for the z-shift optimization.\n", + ")\n" + ] + }, + { + "cell_type": "markdown", + "id": "810bd896", + "metadata": {}, + "source": [ + "Now we can call the reconstruct function. `Tomography.reconstruct` has additional arguments such as the `num_samples_per_ray` which is the number of samples each ray will have. **It is recommended to set the number of samples to the max dim of your tilt stack, i.e (72, 200, 200) the final samples per ray will be 200**." + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "05aeebc6", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Dataloader setup complete:\n", + " Total train samples: 290000\n", + " Local batch size: 1024\n", + " Global batch size: 1024\n", + " Train batches per GPU per epoch: 283\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 0%| | 0/30 [00:00" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Reconstruct\n", + "# First iteration of the reconstruct call will be slow due to @torch.compile.\n", + "# Subsequent calls will be faster.\n", + "tomo_inr.reconstruct(\n", + " num_iter = 30,\n", + " batch_size = 1024,\n", + " num_workers = 32,\n", + " reset = False,\n", + " optimizer_params = optimizer_params,\n", + " scheduler_params = scheduler_params,\n", + " obj_constraints = obj_constraints,\n", + " dset_constraints = dataset_constraints,\n", + " num_samples_per_ray = 100,\n", + " val_fraction = 0.0,\n", + " loss_type = \"l2\",\n", + " loss_func_kwargs = {},\n", + " reset_dset = None,\n", + " show_metrics = True\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "238403b2", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "obj = tomo_inr.obj_model.obj_view[0]\n", + "\n", + "show_2d(\n", + " [obj.sum(axis = 0), obj.sum(axis = 1), obj.sum(axis = 2)],\n", + " title = ['INR-Based Reconstruction Summed X', 'INR-Based Reconstruction Summed Y', 'INR-Based Reconstruction Summed Z'],\n", + " cmap = 'turbo',\n", + " vmin = 0,\n", + " vmax = None,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "d641bf43", + "metadata": {}, + "source": [ + "## Continuing Training\n", + "\n", + "If the volume is not converged yet, you can continue training by calling another `.reconstruct` call. Exisiting dataloaders will not be reinitialized" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "abcea57a", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Reconstruction | Loss: 5.04661e-04, Consistency Loss: 4.48874e-05, Soft Constraint Loss: 4.59774e-04 | Images Logged: 100%|██████████| 20/20 [01:37<00:00, 4.89s/it]\n" + ] + } + ], + "source": [ + "tomo_inr.reconstruct(\n", + " num_iter = 20\n", + ")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "8cdb444e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(
,\n", + " array([,\n", + " ,\n", + " ],\n", + " dtype=object))" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "obj = tomo_inr.obj_model.obj_view[0]\n", + "\n", + "show_2d(\n", + " [obj.sum(axis = 0), obj.sum(axis = 1), obj.sum(axis = 2)],\n", + " title = ['INR-Based Reconstruction Summed X', 'INR-Based Reconstruction Summed Y', 'INR-Based Reconstruction Summed Z'],\n", + " cmap = 'turbo',\n", + " vmin = 0,\n", + " vmax = None,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "b2f7105c", + "metadata": {}, + "source": [ + "# Saving the Full Object and/or Final Reconstructed Volume\n", + "\n", + "Saving the full tomography object keeps the model, optimizer, and scheduler parameters along with their respective gradients allowing for continued training. There is also an option just to save the final reconstructed volume.\n", + "\n", + "Currently, `MultiProcessingDataLoaders` cannot be saved, so we must skip and reinitialize the dataloader." + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "420cc7c2", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "falling back in serialize for _device of type \n", + "falling back in serialize for object of type \n", + "falling back in serialize for pose of type \n" + ] + } + ], + "source": [ + "tomo_inr.save(\"../../../outputs/tomography/tutorial_02_notebooks/tomo_inr.zip\", skip = [\"dataloader\"], mode = 'o')" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "5265c90d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Dataloader setup complete:\n", + " Total train samples: 290000\n", + " Local batch size: 1024\n", + " Global batch size: 1024\n", + " Train batches per GPU per epoch: 283\n" + ] + } + ], + "source": [ + "tomo = Tomography.from_file(\"../../../outputs/tomography/tutorial_02_notebooks/tomo_inr.zip\", device = device)" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "dfac6bf9", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Reconstruction | Loss: 7.51605e-04, Consistency Loss: 2.13314e-04, Soft Constraint Loss: 5.38291e-04 | Images Logged: 100%|██████████| 10/10 [01:02<00:00, 6.28s/it]\n" + ] + } + ], + "source": [ + "tomo.reconstruct(num_iter = 10)" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "1e6da5ec", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(
,\n", + " array([[,\n", + " ,\n", + " ],\n", + " [,\n", + " ,\n", + " ]], dtype=object))" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "show_2d(\n", + " [\n", + " [tomo_inr.obj_model.obj_view[0].sum(axis = 0), tomo_inr.obj_model.obj_view[0].sum(axis = 1), tomo_inr.obj_model.obj_view[0].sum(axis = 2)],\n", + " [tomo.obj_model.obj_view[0].sum(axis = 0), tomo.obj_model.obj_view[0].sum(axis = 1), tomo.obj_model.obj_view[0].sum(axis = 2)],\n", + " ],\n", + " title = [\n", + " ['Summed X T = 40', 'Summed Y T = 40', 'Summed Z T = 40'],\n", + " ['Summed X T = 50', 'Summed Y T = 50', 'Summed Z T = 50'],\n", + " ],\n", + " cmap = 'turbo',\n", + " vmin = 0,\n", + " vmax = None,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "80cbc5f6", + "metadata": {}, + "source": [ + "## Saving Volume" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "7c79e83e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Saving volume to ../../../outputs/tomography/tutorial_02_notebooks/recon_volume.npz\n" + ] + } + ], + "source": [ + "tomo_inr.save_volume(\"../../../outputs/tomography/tutorial_02_notebooks/recon_volume.npz\")" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "190b3388", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(
,\n", + " array([,\n", + " ,\n", + " ], dtype=object))" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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1Zoxpu+wkv1mW/GTMcpJpqwzhUbme2pguS/DnZDmQV1oq20vXxNM9514r+pYMy7K58R//33j6TLwnwtnJPneYJTf5kfNFnz1cejg3oaen5HXEVe7Wav91nWfkfC2WY9xvZRwxBK7XJWVHGKij+nrq59Yop5MTzZfjYEcjhNPGdfuk/Fzq4/tEO0kJuPl91fzslWoshTQFU4dke+6E3Iaw+b6RpDzb1m6Jnb2P2d/LzXW2+l5hrqZ27CHRZ19nzJLr/PBWOW9Bls1lB43rQYvS0dpM+/vOkx1PLAEAAAAAACAVflgCAAAAAABAKvywBAAAAAAAgFTO2oyl/MAm0W7IljA0DE2YYJjNJMMjJxl2M0m9frdq++18nmxpddN1JPlbOskPSpIZ1Ml6Tjf770zyt7jeI9dyTkcmVbcyyRZyG9zDectzg1n3bWcs+UWd3WFmJCil1Py4HIocTw59oy+Jp3vWXyn6/DXniHZU0UOk1/c9YPXJHBgXO1MpO6DP25l8r3NeJ9e89rDGjnmjMP06ze3NWOu0/5agooeUj6ozss/Oj0gwPLbMY2p+b9DJucw5hHTD9qXPxUqSqWJuU2XvD0Tfmq89TbRPzP6Cfl0o/z1y+Vcfj6dnD8uspsZMLf1325lKYy+T+UZHtjwWTw8eWSv61n/2GtGu3P/VeDooH5fbUJsVbRXW40lviVyuv2yjaC+5+k/j6fLDn5PrHJN/K9Cu4oorRDs3vDmets/pwYzcn83cR1uS7zauYzPJcmwLlavkOhfXyzJPaO6+L8fTPVPyPGOb33170+XYf8vgc34vnp65Xt7zPb7pYDy9eqfMdSrttv7Ob+nJyiGZz2m/J+Yw97XxnVZfWbTNHKC6lRdoLmex2O+f+Rm2uk83++3dxJXP1GpfDa17B1O2b5VsD+jPMarK60jecYzU5445t+HJjieWAAAAAAAAkAo/LAEAAAAAACCVs6oULte3Lp42y1CUUsrLlUQ7KOvhJpOUdbWSaNhFx5DHp0O2JB/P9IpLmszZaH780a5sQ7dK3zop8+pWGdqZvs5WFqOMLm2Z6an6u7UNUYJHtc1Hbu1H0M3SOL8ohyn1yoOiHVbbL33CmWNg22tEO7d8Wzztr5Tl2OFxOcRwMK7boVX6Zg55a2soCas5Ht1ed4H8Hzlr3/aNfzuqVGRfaAwb7/myz7faOWObalbpWyCHn294rYv9WoNZSqiUUrU9d8bTlcm9cl5neVurYbZ1v30cF7e+Wi8zV5Svmx0XbbOcrD4jSyoWSqISFUc5nj0ks8rLfdAsfwty8jPLrDRL6puXEj+xnpXx9PQLZOnoZS99q2j/3PxP4umHLpCfy2cOf1m08w8Z52nr2Go41sp6WHC73NIrWeXOy3V5Xsl/tezbKe9By/u/oYCfMo83u/QtO7DOmlcfb3bpm33+T1Lu2ux1rV7byfeVbpW3dXI/mB3Wx623Ur7X4lqmlMpX9Dkqv/YS0TfxC5eJ9qMb9DW9b/PHRd/NQ7fG0/953ktE3/6dsmx+29gN8bRdCmcz/277e69ZqqWUEqXmDefiBKVwnbz35uffUAqXYN9IElnh6rNLAhPtczkdsWNGECjV+OOJud7Aut8/E77/LyaeWAIAAAAAAEAq/LAEAAAAAACAVPhhCQAAAAAAAKmcVRlLXq4/ns7k+0SfPeyiHH6wxRC9Ceo+xesWqG7Szr5JMlS9Oa9dP2oPpZgbGo2nG4aMtt6zbGVZPF2fkzXgLmm3/VTttJLkGyV5bZLtS/I+pN2epPMuVpZTM62On6A6FU/7+YHurddRA94wr8gzsDIKjOXYeWXZ4jLRrpKxdFboG5XZCPn1l4u2t1RnxAQHd4i++onHRdvcX+zrk2u/M/MBWyrJbMHaqMxgqAyGerl5mY0TelHzbcjZ84ZN5myUm9cZFl6Yaft1fUdl9kV2d/ohe5Ncm728vq/ofdrPir65F+nMjakR+RkOH+4X7cJ/FeLp8gOfdm6PPVyyyc4lcnHnULT/HpiZJEop9dgrZa7L85759ni6HskMre+s1tlIm+96huib2/sd0TazZPY84x7R967ZO0X7abv1ezS4Tt5zvOfpD4v2ucYQ7eHUfrlOx72ibw0hbWeh+dU5Pb1GZkIV/RfJ9Rif6cyeryo8tRVGLo6nc8ObRV/G2F+VUqo+pYeqj6rNM5WeaM837XNJkjWXRNpMpaTrd/X3rLhUtMOX3xRP33fd7XLeAXkumZ9cqZpZs/JfRfuc3EQ8/dqer4m+S8b0uaQ+cqvo+8o51vV04+uartNmfu/Nr7pY9PnLNsqZjXzDzEGZ8xnMnZDtyphqV5KsVPE6x76xUN+fW+VBufIX7etyUD7SdDl25lJ+ZFuTOZWaPfRd5zY92fDEEgAAAAAAAFLhhyUAAAAAAACkwg9LAAAAAAAASOWMzljy8rJGNNunaxrtjApXLeTZplvZN35hRLRzS8+V/cNr4+kokBlLGU/mXdRnDutGgoylTjKBupVLtFCSbI/rM231eXfr716oTCVXzXK7r2v12sZa6O78LUnyAexZzXpsr2BlLJVk/XVo5EXV59Jnx6D7+ja/PJ4ubL5W9HkD8nOt77k/ng6mDos+O+/CzlUSfZWTzteaXHk8KpDZDXNLZHvPxffF0/mlMnsmnzXyYzLydTbP6G81bzkoNu2zXzs1q7PIVv7kOaJv2WPymhRWm7+f9nHcKjtNzGucS7yV6+T2GblKM0MToi/I1UV77eotejnbZf6Sfe5Iko2SRJLzr7kN2XNkRsnll71XtP/X4R81Xc7jF6yPp3MbXy767IwlU+m4PEfetnVUtE9uOxBPP5yTn0vpfnlvY96vNBwv9ntt9Nt5Zll/rWgH08Z95X75efur5f1Uz0a9/2ZyMtdpeofM3MKTT3HFFaKdHzk/nvYK8rtM7cRjoi3y+KyMNftex2wnyWPrxOnIoW3IiDXuqexMy96rZWbRoy//Qjz9f0feI/ouHJPbND+iswbvHB4WffuVzMosKP0+rJyfE337BvRzGv899VzRd3JCZtitO9n8WmYzMwDtTKXManm+Ur7ehlxOvn/VwzLTLknGkqnVZ5r2+4A9r9luOAYc1/ck22ezj6dsn37vW/3GYOYUuvKWlFJq7qi+ni5U1tTpxBNLAAAAAAAASIUflgAAAAAAAJDKGV0KlyutEW2z3KSxlCDBI3dh8+E7u2mhlmuWNDWUjxnDspuP4iqlVHbVVtHO9MvHPkVfTpYz5Mu6/K1ePij6XKVaUVCRy/ULTeZs1K0SsCTb0Mn2urj+ljOtxC+p1MPUtnjdQpXupR061WY+NmuXwtmPaucC/QgzpXCnV+9q+Zi6Wf7mDclH32t77hXtyBiO3Bw6XalTlGoZ5Q2NQ0anL4WKQqNELAhFXz0nS838If349suWfUn0XRFtj6dzkVxOJSNvDXyl+70oUu2qeHI5j2fk0M5f8q+Pp+tWaZld5pdWouGwp+Vw88UZfY0MvQHR1z8uy52i6R0ptq5RknNQZ6UmzcsJTtTlvcGDK/S/QVYzvuibnBmKp0s5dwlidezheHrTd39F9H1o/a+L9sjgnnh6bEqWwl34/aWiPV9uXp5vH2uFtZfH0/6Gp8mZfflvreERXT5aP259vkesY2S5UQoRyH25ZNyvlvd/o+m24uxRGLlEtO37bbP8rT51SPSF1Zmmy211/Ccpf0tbwtawHEdZkmveJLycLB/uWSHf356Nz9LbsG6T6DvwPHmt+OXlH4+nX/SAvLYNHpDnr8qwbu+8fFb0Hffl+7dM6evDdFYe/9/3zounj+6+WPQNH5AlbOHj+tob1tyfp/i8Q+saGYZN21FF/i3dKpvs5PPvVplcw3ITlL679mV7PcHciXjaLElUSqmoJo/h2gl9fcgtPUf0ZQfk9atgrMcsi3uy4IklAAAAAAAApMIPSwAAAAAAAEiFH5YAAAAAAACQyhmXseTldV2yX7SGlDUyLZJkVpxtGUq2JBk8fkFnD+RWyfyAzLJVcube5sNCezmZH5KbHY+n81Ny2OrK2H2qmW5lFHUiyTacCdt7JjD3OTvryLU/dpKL5Kp3blULnWS5Lmnzl+zMt0xe5q+IIc3zcujhsCpzXdBdPcMy+6K49cWibeYqhScPiz4zU0kppaJA5xvZmUp2zb2LvZ+59i1XFo7NCzOi7ft6ey9Sj4u+ax7XeQ1DYzJ3IhM2zzfywqZdSimlAuOu4thqmVnnr5XvbxDp9fbOWOde39qmBO+DeJ2Vv2DnjtTLOv9k7p7/EH2DFb2vDC2R+VDRyd2iXdn5vXjazrNwnVfs7UmSF2FLmxFnZgkppdTOB14l2n+xbSieNj8zpZSq3n1jPF3f85O211/7xidFe9sSOWT4+Bp9fD1tR69c560fEe26cU9i7yf55VaO0rXPjycfvkYO+56bk+vZ/MNnxNP+9+VnGkzI9yyT1/dTZt6SUkoV1DV6W2dk3s78+MMKZwfzWtKz4mLRZ2YqKSVzlez7A1vavJlunjvSrL8V+3yUGxgVbTN7JrtU5ib5my8U7dqo/m4ztlEei+Pn3ynaZhbSsRGZS1TPyvPXnlX67znoy3N8j5LvbzHS7aFqTfRt93SOUvHECtE3dGxItCPj+1QrQWUsnq7tu0f05Rpm1n/r/O4fWss5Yc99WiXJamo5b4IsMdcx4rzHb5FR5Rn3/IGVqeaXZHaneR+Ztz6X6uRO53rOBjyxBAAAAAAAgFT4YQkAAAAAAACp8MMSAAAAAAAAUjnjMpayRV2L6BWXiL6wpmvuW9U7hjV3/0LoVkZMkkwlW35E14D7y9bLdY4MiXbQq2uNM0Ek+vyc3DX82c16HVMyJ8OVsWRLktdzpjvb/hZ7+1x5SGZfktclmdfmzCHp4L1NkmeTZDmyz8o6sPrN+mvzHKeUUlUylrrOzLHqu/AXZN+QzD8wc5XqJ2RujlkLr5RSQcXIRkiU89d+BkDjfmbldXlGskJepiyEnjyPl/J63ypZOQTDx/T5v/CDMdFX3TdlbZNerlyDUhlf7u3F9QPx9PLnyJxEf60MaKoEOpemvyqzL1TQPOcpCTt/wXU+qI7LzJ3aD/eccr5TLafZMk/VdukkTy5JLoWp8tjXRXvbx39JtKee9T/i6dCXn+GKbx2Ip2f2fl/02XlH5jZlV8rsM5mEolRuXu/b9v1Jdlje21THdE6R/X75S0dF+4GXfzeeft+6PxF9YUbuy3+w4f+Lp5/2yEbRVzv2qGib546sZ90/GZlL9vlIPfDvoknm0pnDzkPsWXGJ7rMylYLycat9pOlykxzTrb7rLIROcpSypdXxdH6FzEnyh9bKtvEdJVorM2Antsj1TCzT7+/0cplhEwXyOrhb6aykywsyz6hYlMf4ZI9uT6qS6BtUMkexEOqz1MYT8rmMpav0eh7sl/d0E8tldtvAuvPi6cwD7Z/va+MyJ9EfkO+Zeb8SlI+2vdxWklzr2v3em+Q618k9fLfyWFtlPJr3eGFF7nNecUi0/T79HSBfO1f0hVV971WfO+Zc55mKJ5YAAAAAAACQCj8sAQAAAAAAIJUzrhTOL+ghJe1hAV2PlibRySOBi7HOJCVWfn5AtM1HxKMNa0Tf3HL7d0T9eLk9THVQsIbsrehH9/wj8vHLXEmup1Y+2HR7z/RysSTOxL/F3B8ayjG85mUJrv3Ta1FKkuixbmPeJGVynZSHpC19S7KeVqOd+iX9aLZ5jlNKKfUkGF70TDNwwWvjaa80JDutEqv6MV3+ZJe+hVX5KLxd/mayH5U2H41utR8lKbMUrCGPg1y68rHawRnRfvwOOQTu4RO6BCCXldeK5cOyhG3UmPbrshQusP4tqx7o9yzyrSI73yqNc0gyzLbrfGAfm4W1V8bTXlGWvtTG5HE7f1QPBZ3k0f1W56d2z9O2JNsQzMnPO5qeEO3iSXMYbvm5RIFdxNaceYx4m7aKvsrrbxHt63v1cNlfmLhB9K0be6lo+4d1OX4wI0v1vTWjov2LG34/nr5mhyzrq2flPvii0S/H0wfX/rXoix6Ux15UndXbMCHvgTLGvuwtlfdLxXXPFm3z/imkTHpR2cdIccXlom2WtEShde61So9MjfdM7ZdGu9jnvSTDrjuX67jfyg/L49YvydLy3IiuYfOWyNK3zDKrDH3FUDw9NyKPvfninNwGv/m1ra9PvvdX1XbE02uOyzK53rK8fm3I6fXuWy1Lj6YzBbm9RqnssuPyPPjzy40yYFnlq+5YeZX8H99/STzZ8BnapbwFfQ3NL3+a6POGVqpmchV57qjPyPJBV1zMQl1nuvXdO0lpXifb4FqWXaLq5fuNdVjfmYxrg1JKeSX9mTYcPwO65Dqwzv+n47eLNHhiCQAAAAAAAKnwwxIAAAAAAABS4YclAAAAAAAApHLaM5ZyfetE26xTzPg5e/bYmVhr2Mk2uXIUXFk0xbXPFW1/66Xx9KyVqTQ9Ius86zmdjeCFcl4vkO3+Hj0MZ++0rPPNHbhTtM2MgCioiL6ML2uW00qy3DNhG2zmZ9oqq8mc1675NeuvlbKPn/ZzR9xDpbvzAcxa7Yw1b1CVw5YnyVVybcOZIG12k/kZKaVUtrhctM/WIUZPp77NLxdtc1jjTElm49QPymHCzRwlO2Opcaj66imnlWqVsdR+9kXL49a8Lvrt/9tQPrIzKnRGRDAnc3LMTCWllPr2QZ0t4cuICvV8JZc7akxblxVViORys75+X+pWPlRUkdcrk/0e2XkRZm6FnWFhz+vl9PHYe/7L5TY8V+fflEfk9vUfuE60/W/8Zzw9+/jX5XJSDtds93eSNddwHjf27Z4VTxd9J28cFe3xaz4TT3sZ+T70bH5xPL183zNE39ze74h2Jt8XTx+4Rh5r7/E/LtpbDugd7bKVfy/63n7NK0R7+Af6/qQhiWVaXoP+e0rfMz1r82Oir5aRuSnfm9DZKJsm5XLsc0PGH9J9Vr5JWJ6Ip/3+JaIvt0YOyd47dSCentnzVYXFUxi5WLTt/JOMp8+9tYk9ss86J9m5Ze1qPay5Po5bZSqZ577Ga5kju9W6r8wO6yHRswMyN8nMi1FKKa9ftzNDcl+PBvtEu96rj/EgJ/POQt/OP9Pni8iTR/lI4bhoP/sxfeFZ+u0JudyT8u/uv0hv44M3ylyniWxJtM2MwNyczIQ654RuP2PVdtF3qE9mIUW9xvXJvo+0r2XG/pBdc4Hs2zAqXxvq9yyXk8utjcltmh+7v/k2OHQr77RVNlPabMEk22BrOEaMtqf67dnlvI5tdOWveQV5f5ob1hllQUWeQ6pnSR4rTywBAAAAAAAgFX5YAgAAAAAAQCr8sAQAAAAAAIBUTnvGkplvoJSswQ9rZdF3OnJWurVOO0fHzppxrcf12tzybaKvunE4nh5bL+szaz3p/5b5Xp0ntGZS1p337L9Szjv2QDydIFqkgSvDKEmekZ8fbD1TCmHrWZq/1vhM7X3Byw+Itl9YavQ1P16UUsrLlYx5ZX24i50tE1TGjYaVqVSdkdtg1ICHVbs+XP5toZW5tBAWK7PEpXGdOpuh4TOzPm9FxlJbeobP19OrZEaMN6TPUeGEfD/D8ljTZTZkVjhOYA05P9a+75q3q5lLDnnPkZ1m/LOSZwcnWczuHi+yeuVrMwlyn7rFzlFyZY/Y9xx+UWeC+OvOFX1HR/U9yOyg/HzLg/L8umqXzhfKWNlCrvNKq3POQt33mO9ZbvRy0Tf4kr8V7Q+XPxtP16zP//88/+F4ev5rvy767Kwpc53zRZlncnfPGtEuDOusoUNZmdUSevLqa16/7GOruutHol3/yU3x9DsuE10qiGTGUv6uG/TrdvxQuZhZbQ15O9NH4mlvQGbSZKzMpZ61+rOoHP2J6CN/r/vMjEO/b5Xo80vLRDsoG1k+1n6WJFPJde1oeT5okavU7rxpzyv2vaIrC7eVTEMgmtZwjJttq29ZTmYsLdmht3Hy9sOirzIpt38k0MvqeYn8vG2+cdcfWt+eHx3R171Pl18s+g5NjYr2+TXHH26vs6jv/zP9Q6KvNiK/B4XGR9EzLb/32PedrqwhZw5Ri2wksz/tOpIsx563m9dLsVzrHqPx725+rNnfmUx2xpJXHIqn88PyfqQ+J/fzsCqz/M4UPLEEAAAAAACAVPhhCQAAAAAAAKkseimca0hBpeSj0mHlZNvLTTKUZhJJHgl0aTXMumvIefu1hRX6+W3/HFkCcmRUPxo3s6R5yYdScsjOyHq0NGONEz1f0o+In9zYK/qWHZbbkN+9NZ6eO3qncxtM9t/pKjVrmLdFqWE3tFqH6zO0ma/NlmQJQHZwg2j7BV3e6A/IR7UzuaJcsK8PafsRZfsRZhUYQ3+Hchhwb04/nhnV5LDf5iP/SikVmmVzllalcXL7FqjkI0G5m2vehuG6PceQsRbzPcrk5CPJZqmjUkqps2RI0cVmv8fFdXoo+EzvsJw50Oe2YPyA6LL334bjQvS5SgncJQlmf5IhpFutRxyPNbnt9Zw8jnNGrYFdweabh38gO1cMy1uDF+bMR/dl6dvIEjlvJq+vHXa5gK0eGEMp12QZUsZv/mL7vNIw9LtjmG2b+dlE0/LR8tz8UDzt1+T5NFuzts/T299JOUuSsj573rQyq+UQ4gVPbn9g7Dz2fpRVet+Yz7vLYsx7urUPrxZ9/7T1taL95dLBePrQsfWib+t98hw6M7W36TrnD8lysrX/uFG/7tjrndvb/63H4+m5w/fKzoby1topp5VSKmuUO4RT8r7Ms4YF94b00OSF1VeJvpldn3duL5Iz77+ypeWOOd3DhttcpTzO64rjXOZax6kkGd7d7A8qY0377LIe+2/xq/r6lLXO4ZmCLN3K9OvzhV+T15XIbz9sYj6Uf8vYVr3eZVesFH39M/LY9LYN6eV47T9rsW+DXM6X/Cvi6f0Hnin6CuNWid1j2+PJ1qXQxvs7L8uHc+PWvUHOuIZWZJRIOCe/Tye53+5WfESS8rZ2l9NKklK9bsVm2JEljd+D9DFdnzok+rLD+vufV5D3tTnru+I8pXAAAAAAAAB4MuGHJQAAAAAAAKTCD0sAAAAAAABIZdEzluyh382hFJWSuTB27a4YkjPBkJutdKvusxOeo5bTbueWXxBPzxr1wUopdWLjXfF01COzRFTdyj/w2q9hVkbm0thamYUxtH6L3L7hTfF0koylTnKSkuQduZab9nVJ5QZ0zoM9xG12QNbR+kM6/8IryGwJVZBDXotckpw15PFmmWmx61n79KxV+bdt/IpuB9vvEn2qbNff61rzfGmF6Muf+xy5fct0f7DjftE3c+//k9tbaZ4RZh8TPSsu1dNrLpUzW/lRszv+K56uTe1uuo5W63RmnzQMJ6xzCXwrY8mux3blIjyV2O+3OSy0Ukr5Q+v0vKUB0RdO6CwMOyPM/mxEHop1zXF9jq3zLdrPv0l93fHkudgL2v+3Iq+uw3Jya+Q+uSUvlxNZGUxiOXm5Deayyj3NX2fLz/rOftew1klyicKazDuoTe2Jp+cf+aboW9L78nh6eK3c/zKH5fmp+uh3mq4zSQak/bd0K0fJJToqh+S+e9eNov3uc+QxZLpj1yvi6QtPyOGQ7f26PqPzJHKf+aToW+//vGgfG9XDt5973xLRV/3qR0TblVmTHZCZhd6m8+Lp+V75umqPbPdv0fcy2T0bRV8wI//WqGZkz9jnjYojC8PKofGX6ut/buk5oi+zpzt5gU9lnvUdxMy0zORkfqh97TD3s4bMxYZrR3fyJN33Ge1fNzrZH8xzpr09wZw8D2bGHo6nC5XLRV8ukPdi2WmdPeSvkufX2UGZxzRXMo4vKwN2/9w60f7OuTqv6bnekOgrzsjXHlqtr//jvswsrVvPXgRG+3C/vLY9UtHHav9RmVk3sk/+bcGJW/W04z5XKaWq4zqPKb/vAdGXtd5P8/4/OLJL9NXLMstHvs69byT5jtzu/WuS/bFVPlharfOtjIzVBNfhJPmbDceTkbnkFYdEX25wVLTnxx9WZyKeWAIAAAAAAEAq/LAEAAAAAACAVPhhCQAAAAAAAKksesaSl5dZGK4ciiQ5BHadYtqckiTzZksyCydrZeX4Rt6MnQ+RKcg6b68g3xfRVxoS7epzLo6nH7/hv0TfC1bo2t1KJOtQH5w5X7Sn5kaarjOKvKbtWo+sOz96rszJWrP5Wbrx6KearqMVV95RK1FQadoXOPpsGV/XeXeyPTlrXzFzlewcBX9A5hRljBylTP+wteBc03b5ArmPPe/1vyDan//hgXh6fljWi//qO6/Vy3n720RfePe35PYadcDeK14n+k688R9Ee2vvjnj6Bydk/tK2v3m3aI9/4s3xtH1cFtc+V7R7XvZr8fSeK44plw0/eX48XfnUe0Xf/NG77NlTaVVjbbLPgWaWUG1mf1e252xkf+aFVVeKtn1eNIXlk3q6Wm46n1LuDItkn2P7mRpJ8peS8KzsiblAZ0aEGTnvjHHa7nuudc6x/skpzGaMadlXs6KRynl9LpkcDERfJWPlZvn6/Q09eQ6KrPyIVp9juxoyDI17ieqYzCwIfzAeT2cHZG5GMDch2tWxB1NtQ0OehStTpUXOQ5LXmvNWHpT3ERf+55tF++7nroyn/Zq85lx0m74+zT7093IdjmtmaL1/hX3yvmJlTe+g3tFx0efK27LlV5wn2ve/bmc8/Xvn/ZnztX+z6q/i6fPukRlL9amDcmbHMe3ad72ivE5HVf2eZZeuF329q+U1s7z/G02XS6bSqTXcixWMeyprv6qfOCDa5nnbzHxNqpsZsW2vs2UmYHu5Na78HaWUiozMoNm98j3Kjj0q2rnhzbrvyLmib9nsxaI9uFbnKB05R2ZhnbS+k9w2+LR4euPyu0XfQJ+8uD06otvbM/Icv0LJ846vdC5tf1Very4Z1Of/Lww/T/T1jctjvG+p/lvs78RhdUo1Uzv2kGg3fG80MpaqRx8RXUkyjFyS5B25cpQW6vyUZLlJspoafmOwsxCTLMt8H4zcTqWUMpOP/dIy0ecV5Pe//KDON65O7lRnCp5YAgAAAAAAQCr8sAQAAAAAAIBUFr0UruFRbtfQzwukk0flvJweGry44RrRlzv3WaJdP1c/cmtVlqlMKNt1YzWRVVowvko+ThpdrYfafefAv4q+ZbW5eHoyK9/boQH5iOW9Of24aDWwhqa3NsJs10I574nN8vHMNVt0yUpxhRxudO7onWohuErfTsdyzRI6pZTK9q2W7ZIud7Ifd8+U5GOzqleXGqiCXK7qsY6fnP6cdj73e6Lv1tvlY935W/Wwlr2Dcj//m5Iud3vxNb8v+lY9bD1+W9JDQT/4M98XXb/f/2XRHop0ScDKZSdE37euvF60e7+g37Pa1G7Rl1u+TbT3XqaXNbV+u+hTodyX9xrT679/qehzlcK5HgFu9Wi7s/TJ6jPPMU9l9rDQuZEtcgajRDScOCq6ImN477Amy1AarkFiCOlWw8Sme5y8cShq+7qXsjSiJl/nW3Vp5rn6waxVynW+Pv79SF6QqhnrIuQQZqwaO6XbgXWLsdtbrpoJcrK0IOM3vz2xr8vmcNidMIceV0qp3me9RjeWySHv1aEjcpvu12U0lcM/anudrtI8pZKVzbhK5VyP8s8fk+UihUfkNX209+l6Ob78vKP9urwlmDks12H/bcZ+X7j05aLv/l+R79noiC4teeTIJaLv6bPXiXbVKLGxS5T8p18l2r91ni4Jf8NDJ0XfXFEeB7ef/2/xdHnFW0Vf+PAXRdvL96lmzOM7bOiT97zhtC4l8pfKsq388qeJtqsUDpp5LbGH7M7kdVlVWJZDv9vnZbPdqpxZfOYJzk+dDK1+OoZsd7HLuqpW27yvyxyQ96uFw1eIdn6tPges3y3L5oYvlMf49tU/0Ovw5LmtNCe/jK2d0SXXS4cnRd+8kqWRk54uLV8xIY/btx/U56v1F/6J6PvcphtEWz36pngyuq39EsXcUvl3ZwrN7xX9PllG5Rdk9Em9bJXyppR2v+rmfr5Q+7J5jWx1HTa3ycv3W30J7u/M80ZF7o9eviTa+RHjOzylcAAAAAAAADjb8cMSAAAAAAAAUuGHJQAAAAAAAKSy+BlLLWohncPlOobobVhOyqEMW22fWZ+d23a16Jt6lqxpPbpBDxU+N3xcrmdA1nKXisbw2Fa+0WjpcdH+Le8/4+lnPiZ/GwyNbIwjS+V7MLlU1mAezOkhhE9m5DCGvpJDPbvklsjPbO8zt8bT6+95keibH7tfbm+iYS67k3eUZB2u17q2xx7SNmPlL/hDerjRzJDcb9SglbFUMOp8PSvfoiAP4aBH92d7ZLZM1hoeNZzTn3HGl/tRtq6XU+uxPiMr+yST03Xnyhoi3FdyuPF8pNs9ntxv5nvl+9lf1MNN2xlLKmx//7SFnp1y0Z5O6rhF3kJF5np4BZndshjZB2eDwsjTRdsrWe9TzrgeVJpnWLTKrHHVv6fOPkq4XPN61ThEr7UcRw6hF8rzw/SEzlX6aPALoi/rG/ukHexnLzejj1s/I49pO3PPs/pdpqdWxdOr59v/d65WQ167NOQmGnkIxYtuEn0nrhmKp+f65fm0d3KlaA/Xnh9Pzx+9R25fB8OLu3IekmQqufRusDKLnnOxaD/6wu/oRk1eE8/pe2Y8nXtM5qDZ74P5Xh98cVH0fXDVH4v2tjF9nn5gwydF3/99zm2i7X/LPH7sDDV5vt8X6c9tx9pDom82J4+fvRWdfygTShqFxrDRXtHK4zJz3KzPxc718c3raU7+Lf6wzEkrjOjcmcqYfK+hZYvGPZa1f2RyOmMpmJH36a7ztC3JvK5rkmuI9lP1u7iuKw3blOD7VbvLcW2Pzc5jmjvw3aZt7y6ZYTMY/oVol39Wv7+HS/J+tW9eXp/6Kvq6k7US0A5F8t68ktHL9UJ5z7H0Xp1ve8WozJorl+Tf8u1Vb9brLMn81XpZnpP8gr4Pzi7fLPoy6zaJtqrpewP7y33m0E/UYnPmknawj7Vaj0ui48dxDXVdi1tlaorlOO4Tg8q4aGcHrO+VxjpzfetEX21mvzpdeGIJAAAAAAAAqfDDEgAAAAAAAFLhhyUAAAAAAACkchoylqz6ZqvW2MwfcdUsd5RZ4Khhtms1vfyAaOeWXxBP17fIjIVDW2QWUm21zjTaPPyQ6Hte749Ee1Dp/IZeJbfh2ccmRPucx/R7Vtgu63yjId3Xu0m+t9M9sl5zf9/2ePp+tVX01VtkbpiyPbJmefvmB+PpzCXPFX25BzaK9vz4o02XmyRTKUmOUreWY89r1vH7RZnIYNfGegNGv5WpFA32inZo5D6EVgZEmJPbVC/oGnH/wDbR9+Vny/rxl5V1bXdQkp/3P56r+9Z8S+7nXuGI3IbyRDz9tK9cI/o+/isvE+1LS/fF03dMXi761n9XZm7MGJkV9jE7f/g+0V5/j8432dUj6869UP5tm2/T7/309veqtJLkF8jXpT93PZVkB2TNeKZQEu2opt//sDIp+xw5RDbzmtTqszE/57A6bfU1r6NvvQ3NsweiwFqubx30ht6Tsm/d3Tr/xs5fMnmBldXny3NFkA2MPpnV5gVyuZlQL8teZ+jJ147U9LGZm5Z9DdtYHHL2N2Mfm65cokyvzO4w/9Z6Vua61XrkPmZmfnWSJRnW7P2qO5kQrr/bXyqvy7tf+RnR/vfCu+PpmvXPkX/4yl+Lp0e+IDOWqmMPi7Z5zFR750RfIZT7XNbYr3qt7L7xlSdEe7mR3WQfl+FOee/1uZ2/HE8fGF0h+uZD+V4f235tPL3k6F7RZx/vYr32ecSZseE4V9WsrI5+md2UGz4nniZjqT32cZAxzqetvleY14ck5/tWOX9JdCubplWWU7s6ydFJew9lnyPVtJXPFOh76ENZeX9dHpHnnUc8nVv2zbKVm1uVry1l9T3pttGPi75rjNPXvSWZWfvV6eeJ9tCkPonKrXGzM5XmR+X304yxDflAfi/zHpHXNvG6VterLmUWp/28u8mZfebYJtf1s/U60x3vze/YnuDl9T3xmZTNyhNLAAAAAAAASIUflgAAAAAAAJDKopfCJdFQEpDg8VF3aUH7j8Llh88V7dzmS+Ppw5vl45j1NY+J9oahHfH0c3rlUI/nBwdEuxDqxxYvtUYJXPtVOczxzJ166PWZafmelFbqR0AH9g6JviumrSFwn6G3d3mfLJM75BhcN7DK5GYiWcLkL9d/y5ELLxN9Ky58lWjXfvDX8XTY8Ehtd8rbFouX04+a+iVZPuYPyWGCM/3Go7IF+YhlvVf+3hsYb0OtxypRyVtDf/fokoHhI/Ix/9+57//J9mWPxNPVOflI7br/uDKeXnJ4VvSpknw8OGOWJH3zv0TfyK4bRXvvil+Kp1ftlaUFs/f8rWjXpnarZuaP3iX/x6d0SdumO64QXfZQ9DN7v990HUmGyk077K9SzR9JVkoOyf1UY76nfkkO9WuXwoUTx+LpqCr30cgxvLd7/e7HnZM80px2iNlW82Y8o3SjIv/u/L1yfx62Sojk9hmXf88qffatttnvW/8eZQ3nrkJ5TpLzOvosUUVe98y/u6G8LcFnbO8PQUWXVQV7HxR9w/uuj6cLw3KdpWPyQfXanm/G0w3lbB08Ru+SZN92DY/sr5SlcE8f+Jporz7W/KH8q1bfGU/v2iDP99FDsqTO/NxW7ZDXyPc882dF+4I1+v7poflzRN+6++RrZ+dkaZyp/IDchov+8n/E08df8Gdy+6yyzvNv1/dpszs/J/oah5R2XA/Mea3zgr2csKLLejJTJ0WfNyDv4fyU5aFPNea9mVk+olRjGbWL+5ze/HtF6xK75iVCnZSsJbmfOdO53qPQOk4OHrk4nv58bkL0zYYyamLvbh3XsemuC0XfcE6WZ0+N6GPz9zZfIPqu2qDPmfccv1T05R98jlzud5vfg9rE+WHauq6E8r7dM6tqKzJKxC4RlutIvy+cSSVY7Uh7395YQtt+pI57ezqJUND3RH5hqeyc3KlOF55YAgAAAAAAQCr8sAQAAAAAAIBU+GEJAAAAAAAAqSx6xlKS/BBnfXDKvKVW/ILMFupZK4dEr23Tw8afXCOH0u0vyjr/dfmD8fRSJYfDLFnZF2undU7Fum/I2tjtH98l2rsP6ULa4T752+CSI7q2c/iIzN8YnpHD2j7T0zkF/tOPi777++X2zZu7ihW3EGRkHseKgq53/uen3yH6Vm19tmj7dxnvd2VMudgZTAvBc+wrSdafsYYEz+RkDpXKGTkpPfIwDKxoKTNXqdIvt6Ha0/5xsOTQKtHu2bUhns6X5TYUzMgtOw/GzmPx9GvtoZPn779VtIPyUT1t5WI0Dt/efk5a5dDtp5xuJcm5oZNa8iRD8Jo1190aEvhs5JWsmnFrv7Ozs9pm7c+uIaTt/BOZ85A+j6nVelyCsnGuPiiHUrfzQlzLNY9VO3ckybY39hvnNut8YJ8XzX67zxbMTRivs/LOEgzn7Zp3xsoE6hnTOQUFK/OrWpbXzMrhHzVdZ5LtWSiu9yyalhmLPzouM0E+aeRH1pU8Dr98VOcqbT1+UPTZWVPm3Ur28zLH6cTy3xDtz68+HE+v2L1e9A18Xb7Wlb9i78vTt39Qb89P3Pej0wnOt+3e2zbsf9YxEtVmjWlrMHLrHOiV9P2Tl5fZh2G1/eygJxt7H8j2rTL6rPOM+f63OA8770kSfCdxLTfJvK3ui1LnyXTpvijJ/Uvr+6Lm66kdvE+0t9zxxnh6+6w8LjOhPIbOvXOrbvzbv4g+39ofVq+9JJ5eu0Sek8qrdV7buTX5/al25zdEe+rhT6p2mefQYP8joq/hymGcH4Ijj8vlODKWknxO6bNFF0cn+5FzuV08vmUekyOrzz4fWdcKZZzLzqRsVp5YAgAAAAAAQCr8sAQAAAAAAIBU+GEJAAAAAAAAqSxKxpK7Btedq7DYzFpspZTyV58r2sc26jrVcOSA6BvpOSbaQ57OVepRsjYyF0Wifd4julp218ceEH1fe1C+dqyqQ46eNhSq5mStae4xmaMwsHkgnl6/Wn5Gh3rLon3Q1/X7gZWxYCsoXRd64cidou/As2Vm1Yo7fyaenrz3w87ldouZo2Rnatlq5YPO/qbrsDJLGhgZS/Ve+fuumamklMxVmuuTuVlBzsowCfRnE/mBnLcmj7VaQX9OPT0y2Mmv6UyonlmrktuXn38mr99P+3j2CjL3waUhzyZljlqrGuqwqo9Lux7byw+ItqyF7k7deRIZX34uT6WMJeV36fKUIL8orM6IdpL3u7FWPt+0L0mmkr0N80fvMdYh9ztX/pG9TjO7wculr89Pss4kr02yrE4yjFzHuCs3ybWcRDkU1ra7MqA6yZKymZ//3INfEn3nfvFtov33L+zTjUCe47d+94p4urLr/8ptsLMlzDyrhz8t+vrfKTMrh0vL4+na+L+JvvLMIdUNrtwRpdx5dzZz/3SdC5Tv/rxFjkZN5m02bF9BH7d2PqTrzvApzc55q842mXHhJDmOz/Rrfie5Ti7OjN2Ga+K9ot3/3/fH0xfs3iZfHMojI9yuz/HTh+T5PrByX2f3/nc8bd8rZkurm25vdfzRpn2tmH/r3OPfFn35cvNc2vr4btG28+6arSOpJJ+/Kx9sobKbupWN2rANLa7b7S63MSctf8rpJ9rNMyvte6nTmc/KE0sAAAAAAABIhR+WAAAAAAAAkMoilcIVjGn7ca32h13uZLi/dnmFYfk/lslSqcllR+LpUvGk6Fuek48lrvB0fzGS2z5YkY9jZv9bP9q9/7B83C2QVXNqOKf/x9Je2bdkSJcp9fbJj9fz5e+I0SH9CPCyQ3JB/WvkNuz29GOeB+orRJ89/PB8qB/BOzov551YKUvL1l58bTydf1wOyVmdksNlptW7+mrR9n9NP+Z/4Hz5SP2Ge+TjrOF//r94eurRTznXI4Z7tB63NsvFlFJKFXQ7tKpBq71yX5nv1Y/DzxfdpXCmMCv7hjbdLtq/PKiH1p5SsnTv73f+Tjx94RevFH1eztrgnP5bsudcKrpOPFs+Llwe1CWW6+6Wx1rta7LcYW7/9+PpViVrvZtuiKfzF79Abl8gSwKr9956ynUo5X5c2KWTIcNd5cBPtfKGXN+6eLrhfQkD1UwmL89f4YxRymuXW7muMYv0uHC31tNqOeb+7NpHWy3Hee21TkFiGPtW1+zmpy+nJMdbq204HaUbrtc5y2K6eA9krrc6/pjs/Igsabvoh/r8qgI5lPbcY3re2km5HOc+Z/0t9mvNdpLPyD6Hu7ah1XLTfqY2L2+WElolFDl57bXLHVwyOV2ynhvYKPrqc8fs2XEKYVVfK1qV7jqHCU9S3mb1det6sFBlP0mkjQzo5D2oW5EV5fv0vW129zrRF9ZkzId5nrFL31zMSAWllKpabRdXKZTN7K9NWeVtjlJe+29ZrHuOdl+bpFSrseR/Ycq8kpTnObe3xf2JjEmwS+Gal1QHFRlnkzXve637XPNeWimlqpM7ndvUTTyxBAAAAAAAgFT4YQkAAAAAAACp8MMSAAAAAAAAUlmUjCVP1JO2X8NsS5Td0OYylZJDLeeWy6Epp7bJGsvqir3x9MbiAdG3MitrWktqTk9b29s3nxHt7Hq9DU+/TA79fLEv5y2u0jX5PRfLDKiZrbpvekgmsjy+RGYj7BvQvyvekd8g+r429TzRVl//hXhy6R6ZCeCy1GqP2IFRNZ1Dle1bJbo6yVjKFpfF097/lEMnv+hXXhZPb63JHILbn32OaN/lfSye9t/9Nec6zRyFTM4Kv8pZtbo5fejVC/Jzqudklkw9qz83O1PJzlEy271rHhR93zj0j6K95L06L8zrk/W5V7/lt+PpP1n7A9E3dFhmamWMv83OVOp78ftF+6KeffH0nZddIvpWz9ws2pVP3akbVm5GfuRpop19sX7tjmfJ49K2ZdVr4ungcxNynYfvcL62GxqHnnfkZJ3hQw13m3mOz9jHjCf3O9f7ZuYzLUY236m4rnWdZE34RX3O71n1DLlcK2uqekwP4W5n2CSR5NrbrWtzkqF+F4orE+JskyQDpjomrx3V7z3YZE73OjqZt1ufcZLPrTHzM0E2ljM/pGr0tf8ehVWZqehb/Rnf/j9QqtX3iOaZhq2+n2QSfJc5m6UdQr7VchaLmUVk5xJ1sk3Z0ho9Pbih6XzzR+/q2jpdy7GzpUxJcok6ySxKsm+kPZ8m0ep87/q7k10r0t+fmNeAJOuMqjPNl2ldTzvJfe0UTywBAAAAAAAgFX5YAgAAAAAAQCqLUgpnanzUuDtDPyd5dNOW7dNDzPvnPF307T9/u2ivW/pIPH1ujyzVWpqZlMs1BgcPM7Kc7eCgVd52gx42tv/Z54m+ui/Lxw716+XuGpbLOWCUQuyM1oi+nXU5/OC+ufXx9LEdl4u+0XsuFO3eL+ih6ue2u0vCTK2H0tSffyelbzazvPHwOUdEn1n+tqwiywMv93aJ9tc268+01NFQrvJQizz9uQU5+fmGfvNB5SMvtNrNh2DfVJJ/y7L75Gcx8ageurJnSP5tF+5dEk+Przwh+oaU9Si58Tj+yZXHRdczCztEu5TR5aEbe+UjypPrZRmPq2QgOyD37ZlV+n2Z75fHoV8tiPbciH7vs8WhputIwn70taHsxDgOvLwsdXXxrH2u+Z7x5BMFct+2yz7McjdllcUlGbJbLrP9x6gXqxTC3l96n/az8XRw9aWib75f7iGlR6+Op2e//gHR1zDEfJckGWJevC7JY+gJyrq6pZN7DNdj/p0s1yXJOclmXj/tZXWyveZykjyq3+pvabev5XrsIeQTlK1163MT5zWbXfpm3Fc8mUuzusr1/rbgOmZOV8l1tyxE2Vo3y4dPR1mdX5BRI8VN18fTuc3y2qtq+vPP7R4VXeWdXxbt0/G3dFLelrYkvJvXzIWYt9V74izzc9yDtCzzbvNcHVZlBIhftMJljPtc53VjkfHEEgAAAAAAAFLhhyUAAAAAAACkwg9LAAAAAAAASGVRMpaS1WQ6Mpe6NIyxLTeyNZ6urx0WfcHwvaK9paBzgJZ6MsuloBzD92ZkbfysL3/T275cZ2OUajL3x4tkBs/JHv2xncgWRd9hpbNxjoSyHvN4bZlcztyKeLpnekj09R2U66we03kclbH75PY5Pt9Ww6VHQSWezvgFx5zpLT0o/+5dOV037UcyE+gef1S0l+0ZjKfLrfYpM4+hIfOlbs2rP/9MIHOyvEDuG5Gvs2Yyoezz6ladr5G59Hh5s+g7don8nIbu7Iuns0vke3/HBr29+b1yH1Ne86SfpYdWiPZPZmVmmXn8PDJ9vujbtFsOpVl1nAuCGfm59R3W70tx3RLR51nvWfGw/tvmpg40XUcnkmSC4NRaDaVt5ijZmUpmvXmSoV+T5JQkyQts9VrzGpkfkXl3uVHZnnyRPq73XvIjueBcRTR7ztO5etuCN8vt/frfxdP1mUOyb4H2306Wk/a1rfKY0g4/vFj5EUmkzbdKMm/De2SsM8l+kyiXLtd+Ll3DehYow8rFdW7I5PusPkcenN0XNM9UPF1Du58VxPDeMovEbHvWZxNaw3u7zvGdHHtJzjNpLViWm2O5Z/s+2bPiEtHOXaAzC6Plw/bser5Vq0R7YOmoaNcO6u9QtXGZhVovy2txWJ1qa1tb6VbO35n4mSbZ59JmNze8f45jesHun6zzk5kXZ19HTmfmG08sAQAAAAAAIBV+WAIAAAAAAEAq/LAEAAAAAACAVBYlY8mlMWvCzLtovxayo/pRozYxE8hsocjKZylkdN1iVsl694qSf4tv9M9lZF/es2vlde5LzSrHDGUEj6p4+mOrZuRHWFc6l8TePl/JnJ8g0PWZI0eXi77ovntFe+7A93RfIHM87MQdV+aSbaFylerlg/F06UP/Kvq+evJL8fSHni7rmdc9uFou5yP/N54OrFrnhr/TqL+ParOyr2btgzX92fg1WfOfrclsmdy8Xk89K+tog1zzfIa5/ReJ9gtGf1W0/+jd/xJPT3oyR+kd+94WT5+/Y1D0qfCEaEYV/bcu+dYR0Vcd+3XRfnTVXDy96V65Y1du+6hcTW1aNTN/7G7Rzn37v+LpzSefI2euyfeoevdn9XLGHmi6jk4kqaluzHx46uYxuT7zhSLyT1q892nzBby8zIjpWXuFaJvZDbPny4ywx5+2W7SHt+rz2XWlR0WfeX1SSqnHV6yPpx/OvlT0ne//Tjxdu+u/RV/lwB2iHVbb/1zM2v6FyhbrVl6QUumzRjrJKEn7vtj7kc3cl1vtq2lzNFx5R63+rrR/t/0Z2ttwJuR+yDyO5ve1iZZp30fY/VXjPvc0ZmqcTaKqfE+9fCmeDspHF3tzGnSyL7u+By1WBtyZdiwmUVhxmWw/82dFe/4cnVtbXiKPt9nBctPlDm6WWU19+/S9ec9ReT8dHj8o2vO7b4+n5w7c1nQd3eR6/1z7mN2/WPvC6djnupVZ5szj6+C7wOk8DnliCQAAAAAAAKnwwxIAAAAAAABSWZRSOLuEyGQP3ykfJ5OP37uGtbUf+0ryGFhtXA+Bnn90j+grHhkV7UeWn6MbVhXXUEZubyXT/DG2fMYqS/P0b3y+VVwWWL//zXm6dGZWycfv5iO9zkok+wLr4w6quvxp5CHZV37wc6KdZMjL8Ax4FNbchukd8m/x3/2NeHpZYUT0ySI/WVLnWodSSgVz+pFWryCHIjUfWVdKqUxF77+5WbmfBDnZrud02Vw9K3e6bF2WUYWeue/0ir7q3TeK9l/O68d8C7NyX9k6ptfjT1vldlWrbZT5BRPyUXLvKw+J9sDU4Xi6PLVf9DUMee7Yj+y+qXv/Sa/z4U875037eLgt7aPlrV5nnhPPhGNpMYkS5obyUftaIfd9uRzHEN4JJCkBayx/0Z9z6emvEn31Z10s2vdfp0s7z9/4T6LvrYXvi/bm2lg8PVSR5c4165+KjvfcE09/8+n7RN9XB18dT6++4iWib9mdN8jtvU+XQs/u+JroCypjou0ssXqKlOvYJV8N9yuO98EvLJXtvlVGX/MhrpWyzh2VcdFXnzks2mbZaScliwtV+pikVO9MK79ovK9t/r64zmPK1aeUiir6M+zWsORPSmaJaGhdG4z3uFXpiYzqaL/EdrHOe90so1uIdSSxUMe4b93zF1brsvSeS+U9cvliOe+hLfqedXa5vH/1ijNN13lis7wXz1yu76/zU7L0feVuGWExuFO3s9/fIPqmH5AxH6fjPJhWq5K6bklS1pe0v13ua1nzc0PL9Tvuc12/uyw0nlgCAAAAAABAKvywBAAAAAAAgFT4YQkAAAAAAACpLErGUlidjKdb1SV3S5LayOr4dt340cdE37n9vyHaD/e8MJ6e2yyHaF9flBkW5tDP83btthxpXfVkdK1kj7Lyl6zf/8pGrtKk6hN9E5EehvdEXeYxjM/LWt6e4+v05thDXlrZIqHIpbHCpbokCmTC0UKtx6w97WYdqvme2RkvZhaCUkqpWT3kbXZW1l/nCvLz7plrXvcf+jKPy8xY8kK5nGxNHu6Fab0f5WflvLmZKJ7OTFq14/NzoinyowK574Zlmb9iDudrZlIllSR/aTFqt11DcHe2Djv168mtPncsno6q1n5m7VsmZ05JYOfxNc8/CavNcxKemFcfM9mBdaLPH1gt2rn1F8bTh2+SWQ1Lnvce0f6rni/F0+dNyuGwlx3xRbtU1u18RfYF2Ui0Z0v6Pdsycofoe8EGnev08Ka1ou/W658rl/O918TTK/9Z7uvTd/+zWmytMozSztstSdZhZyrlhreIdnZY52pkcvKeI1OQn0XG1/tDFMj8ragmj6dg4kA8PX/oJ7Kvkv7c3C2uTM1OdJK5kXYdIrvHOv/IK7hSXr4UT/sled6wc+fCinkvM6lwas4cEyOz1J6vVVssJ0nmouOclCR7pps5Nd3KnlwoSf42c/t7Ri4UfT0bnyPa/tMui6cPXiHXMXbu7aLdP6TPmVsKMrNuMKvv8UuevIYXMnK5fUb/WCC/px17mjzmHzh+aTw9uvFn5Do/Jb87TD/wb/H06cgsWqzluPK3OtGt5djfB1x/q5dv/t2hIbfTzjA07nujmrx3DU/j9YAnlgAAAAAAAJAKPywBAAAAAAAgFX5YAgAAAAAAQCqLkrFkapWx5MxOWaBsBHOdIm9JKZX59odF+/yyzpo4fOPNou/H598t2kODuh73RPGA6JuwajCHPCuDx9CTkX/3fKTrLCuRrLkcC4bi6WPzy+U6T2wU7Y07dXZD/fGvi756+WDT7cGphTUjY8mqd7XzLdRsOZ7MzA6IrmxBZkvlPX2Y+lWZqRL5MlPFzlwSfZ6ct9JvZASFsrY4P27MW7Eyiypl2Tb+NjPzQSmlMoVB0c4Z7UxO5oNVxx6UrzXqncMWWVheXr+H2dJqx5xK1cuHmi73TMwWeKoKJvaLtjcgswdUrnkGW0bUntt9Vr5FUG3aZ8uPbNPTz3qZ6DtxmXztgYv09eCtW35P9P3GXcdEe+Bh45iak9k4qiiPeSGQx3RUkpf0gV7dHj4m9+0t/fq1V/bvEX3PWLNXtP/SiKXwHniz6PMf/rzcJCOfp6vZOGYOiZ01sAgWKtchO7BBtHMjMmPJX7lZN0aWyRcXHO9DTu43Xk3uV/7keXrWdReLvvCkvF+p7P1BPF2fOST6XJ9FtzJgkmRWdJJRY3OdGxJl6jjOK873r3e4aZ9SSkUVM790YTJVngxEZqiVf6k8Rz5fB07Hd5kkkuwvrvyltNlHSV+bZLk9K3QuUe8lPyv6jr94pWgfOv++eHrJMvn97+lFeQ+yNb87nl6ROSn6VkQT8fSaqrxHHpmV9+W9Vf1Mx3iv7HuoX94z37duRzz9xWvl94jzDr9YtEtz+nxQOSAzFe3cPPO97+a540zL6kqyDUmu8XZfkuugi2teM39PKaWiqs7qWqz86nbwxBIAAAAAAABS4YclAAAAAAAApLLopXA2e1h28zEw+8kyMZx7aA8Z3f4jlkke+6uOPyba/kPfiKdX+TeIvuLMVaK978IH4umZIflI88GCHN65lNWlU0VfDlW5PCeHbM9m9CPtk4F8RPxQRZcBndx3uejbcs/5ot17m/7bpnd8TZ1pXEOtZ/zmZTCnS2CUVdmPJYYVOfRjVDUeF52X8/rTsoQhr/Sj2kFPxr0NOf1bcbUkh2c/cOH9or1i1b3x9NG6LEvL36X37bVj1qPi9rDvNf05+UNrRFfmkkvkrP16+4r7ZBma94P/EO25A99TzfgFWRZVHH1ePG2XddiC4/px5vKjn5d9lTHVjH2OMcszGs5Hzsdi7VKsmtWuGtNP3fKG+pQsx8lW5fnLHnrd5BWH4umwVm46n1JKuY4o+zjOrdf789Er5XF69OLvi/YvrtVD/77lnqOir/gfstR4zx26NG7fQbnOoT757z8r1+pzX99qOdxwdlDuW/6g3md7l8n3q7BSt3uWy2N8W4/cJ69Z9cN4+raN/0P09Q7L0q3waPOybpurvM1VLpKklKSTspMkJXdpy/P8Plne5vVbQ8xvXB9Pzy2X+0KlX35Oc326VKLaK8smMoHcX4szet/pH9sq+8bOFe3SOXq/Dw/ukdvwmC6jr03Kvo6GlHZ8bp2UFshSjeZlsZ1wltQ2lNRZ11ejnfGtMtiafD/tcyROzSx/zwfWdaTQfimc63MV5Xb261qcG5Ls64tVBroY86Zl3//5RdnuWaNL4U5eL+9Jj17+LdF+5rLb4+krcjKOYXUky92G6vr9XDIv74OHZ/WdxIoT8qt177Tcx7LGx121bmOG18r9aGDkId2QVXzqy9fI8/Tm3lfG030/lOf0yvZvi3ZtXJfYue57lVqY+9BW+6qrpK5b+1jrUuh0ZX2dlM2b55hMXn4vy+Tl/V44N6GnHeefxcYTSwAAAAAAAEiFH5YAAAAAAACQCj8sAQAAAAAAIJVFz1hqVavpFZfE08HMYdHnqlN05jF0UB9qD0c+u1dnLNm18UM5mblU69HD+R5fL4cJnOibkG3HNuzpk8NE5rI602a+KmswBx/VtcVP+6bcvvkffFS0xx//SjwdtvpczKHfFyj3xc5NcmUsufqSrict1zbYQzJ7hSWinZ3VmUuZaZmTlQnksNDZUO87fo88ZIOC/G3Yq+k678kVcvuGVzws2s/s08OhjwUyA+z2zToDbG3fZaIvqtm10Drnw98k67pPbJbHZbWg5+3rk/tuac/TRbty6EfxtL3P5fLyPTNzlTLr1os+VZO18H6o29m+1aLPrjVv95xjZyi4hyl1Z8k8lXOVTPNjD4h2Yct1op3p18dUJidrz6OazqlryO6pzYi2yDyxMlYaMjU8ffzN91rHV7885i8PdYbBwONyuWMPj4v2vY/pz3yXjGNTywryfLC5rP+2leMyY6d/WJ7ze5fpc13PjJw35+tzRb5XZrmU5uR5ZYXS21uz8pf8kswISsKZRZYgc8mWJBvBtQ1ps5xaZaqYmSAZa7jzzJB8P8ur9Od0ZJO8J5pZuUe0ewaOx9NZX267l5H70WSgt/FoZUD05Y6NivbQ0RXx9ODRZ4i+XuOcHzz4Q9E3u+O/RDtJDoT5Hrb6HLqVAePMRmoxb7u5So3XCqtt7g8Fed8YTsistsrRn7SzqU95Zv5laA0F75WMY9HKNFFV61phaJWjslDXcec9yWm4d+gkeyaJbElnJWX7Vok+ryDvX/2Vm+LpAxfI3KTNQ4+I9qU53b6wKq/ha6dD0R4q6+ti75w8b/ef0H094/Ke05uQ9wqZMIqn8/1yOSO98h5/Xa9+z87p3y/6ejbK43+np8/xG3plllixat232/dBhlaZSy7m/uA6RlrtC2n3q1Z5TGfa/XXj9rZ/DTLzQ4PKCceci4snlgAAAAAAAJAKPywBAAAAAAAgFX5YAgAAAAAAQCqnIWPJyhOxaue9nK4prwft5xt0S6v6S7N/du+3RJ+d87FsyUvjab+2UfTN98r1eIH+jW/wmKyrD3Kyznd2UL+2d1LWZ5bu1bWxc3d8QvRVDt+h0lqoXCUXVxZSJxlLnby2XWFNZkmElZOiHUwZWQmePAy9wMosqRj1w/0yAyA7b+WQeDqPozgj37/D87IOfSLUuRrlUO67mXmjbWUURdU52TYyllQo91W/LrNbPCM/ypOzqoyVJ2GeG7wWddNOXvu/nydabgLOumn7nHgazntnovrcMdEWx4xSKje0PJ72BlbIeScONF9wQ6aJkeXSImOpfuSxeHpkn8wTm75cvrbfOC7qgzJHwc9lRLtmxN/UI9GlJq3d4dCknsHzZN5RrSoPquqcXnBfRR7H5tHmL7X3e3ncThpzzw7Kc9vyVfJ9yOz9TjydJM9gobIQWuUdJclREq9rkbHi4pdWxtP2vqsGB0VzakTnKMysflz0bVx5j2hfWNB5IZu8g6KvpOT2+krvK8eVXOeu1WtF+9HKOfH0zhPnib7SOfrzX7v+etHX/+hFoh08fn88PX/4PtFXO/mYaqbVZ5hWq+Nd9tn7Z/P9pjE3Sbe9vLzOZfLy2uuVluqGlWcYWudA+xyJUzPv+exsGTOPz/z+oZRSgZWxZB7zrfadMy3LpRNJMutckpzjvbzMffOL+rjwS/KcmV26SbSjjfr85Q3KbNHn9f5ItC+p6tyic07Ii+/yMXndLhnRiLmT8tqb2av3lfqRWdFXr1q5qYP6ffDXWzm5x+U6lw3o+9c1vTKA8TlDt4v2N2p6/z1xckT0rV+6UrTN97DVPaeZuZQkW2yh7qdtSXLH0m6TvRwvZ2XjOrOl7HNDtWmfybeyw1Qg97lwTn+vrE7ubLqcxcYTSwAAAAAAAEiFH5YAAAAAAACQyqKXwtklQg3DOxuPftmPiLmGqnU9Utnq0be0j+vbr6sckKVm/oP6ccwl0+fKBRWsbTqpn7EMDt4purI1WXpUyBXj6bAyJfpmDujHPKvjj9qb35RdanQ6St+ScJXJKbUw5W6t1inXL9+/YE4OBRlMyWFNhVCWrGR6dZlCJpSP1Kp5uU1mgc3QI/Kx7rm+a0X7exfq/Sial4/jb7rrYt13dJfcvLL8W8xHyYNH7xZ9Q7lnytcO6vV4Y/J4rjx2m5y3KvdtUzAnh0OtH3wons76vjWzfM9q+3T5iH1O6dZjszaxHPvRV+sc2MlQr08m9mdRO/aQaGeXro+nvdKQ6AvL+hHhjC8fLXeyH1m2SiHq43vj6d498rz8+IwsH6oV9b/bzA3Lf8MZvEg+pr51l/Ho/CG5v87J04HyjYO8Zp0OpstWfanSLy7PyJn7xvR+N2I9qj+wYb1or1V6nywPy/0z0ytLFry8fkS8XpbHl6ukqeXwwwmGnxfLteZtGO495XIbhglOUK7lF4eM5Vj7Z07ellX6JuLpYr8sfTqnR5bGXezpx+HPK0+IvtUTsvyyv6zPk6EnP6fJ/n2ivWtY39s8sH616PvvZVfF09s3XCz6lq29QrRXPPr8eLr3gFUmt0eWrJQf/lw8newerXnZQat57c/UvD60GhbabGdyfVZf7pTTSimV8WTbG9DnhtD6DKvH5NDpaI+5/9j3YtkBo2zKOC6VUiooy9JDef9/ekrYu3W+6uQ7U7e41pMtyfNMJq+PKX9glejz15wj2ic26/dl/dAO0XdhsF+0N4/r8rfVh+Sx2P+49T1ivy5Lrh6U9wbVMT1vGMjrsOfL639kXG8zedmXL8nz/+qCvscvF+Tnff7S3aJ9Z0Ffm+dzsmzK5hX09wqvWnbMqVS9rMuqW+0bi7XvpJW2VM8ufXPp6D0wriPmZ6SUUkH5uGzPnZnfFXhiCQAAAAAAAKnwwxIAAAAAAABS4YclAAAAAAAApLLoGUv1OVkj2FBHa9WmN9OQm5CgprGTYUBdr62XZW7O7MNfjKdzhzdby5HbXxvX2QhBxcqwsdbZrWFMzRwlO2Opk8wl87WnK6vJzEOy/xZTq+1zvTYJOzenPqXrvCNrCEl7SEmvqrNcvJpV812QOUrCCXmsrTo5JNvfuVQ3Ktawxsd1DlF9Qg5bbWYqKaVUaNRn1w/eJfoyhx8QbXOoZTu/oHL0J6oZ+/i238/yzi/H07kWORRmxoK9nLTnkST5Kva8oZXjEziypZ7KquNyOPKe8pXxtLd0jegzc0zs4b3rZZlTYw4x3SqzQiyrZmWhZWSuQmhE2kSeHMbYXykzzdadq5cbhjLvYGLGzk0ylpNp2qWUUmrSeO3cvNyG0rTOefC8cdG38uFloj0s43CsjZCZZq7rU6u8Ixfzta1el2QbXJyZUNZykmyf4MnbsGBQnoPmi/p8W8rJc8UKX94rrDXOHWvH5b8brjwk19N7SG+vd0xeV9ZYO9Z5Q/rvufpced5+9sZPxdO3rZNDeX9liTxmH9ysM/fWPiB3quEVzxHtfuOYnn/km6KvOibzmNx5MQk+C4uZF9bJcpzrKC21/of+nMysOKWUmjsq8zeRnH2fnp3bEE/7ffK8Z+b6KKWUMq7VrfaHJBlG5rmj5XDuac8zrbbBWK9rG1p9H0mbL+MXZO6g/f5mS8v1vEMyY0mNyGPowMX6XvIXizL3c+2UPG+vOqLX03fQGs79kQnRnnlMXydnjsm/e3ZG3w8EdXmtzXjyfFrq09fMwSm5TvuOvtin72WWL5HX2vVD8vxQzOrvCuG89Tl4cnv9paPxdBTKbYhq8jrj+vxdn3eSeZNkgC0U536f4N6l1blB5PFZ8/pGzrT9udjfmapTMv/2TMETSwAAAAAAAEiFH5YAAAAAAACQCj8sAQAAAAAAIJVFz1gKq5NWe1q0veKSeNovyrpZM5coSU5CK0nqR53ZDVZfdfzReLo2tdu5Da7lLka+kT2vK1soCmQeg5lnlHS9Sbj+tiRZSK5sqYXSkJvj2B/sfduv6GPGKw+KPq8o2yKvw7cO72mZJ6QCXRMeVuT2mTlKUbV5ptITrz1p9E1b81rtmmyn5Tou58fuT/TabmyDvUy7btpsN2SzWHlr9jkST6hO7pRtI7+rMCDzGfxlG+Npe/81M5WSEp9VEIi+oFaU7Yzj323ysq+wVJ9Dl62QdfWFHtmuGFlJ8zWZ5eBZq8wZ2Q51K/ehJ6/7alWZ45Qpy/yoXKj7g6KdATYsWolyyhLkhZj9ra7/ziyHLuUmJck3MbN6lFJKGRlgGSsnr17IWG29/y7Jy0ylpUqeKwarep8szeZEX37W2leMXKXqzgnRVx2T1/jAXO4KmQ/2nMt19snmyw6Ivo2bPiXa39iyI57+3pJ9om928HmivbL3nHi6MLRE9OX3y3NBZff34+naSZnrZN9bNXwWDq4sDPu83fYyC/Ka7S/fINrhlL6e1k7skH1cGzpWm9kv2rmyvlb4xSHRlx2Q2X31cX3f1kkmTJL8JedyFul7UKK8KDN7soN7LTvfKpPT551MvzwfhP1yPcV+naO4LiNzaYZn5UWyzzilZnbL+9PyLnm8TR7SGUbHj8vr8tEJfY2sylsDVbBuxYf79AzzFXntXWndG5TW6OtDn5XNWLDuQfyMtWJTv/V+TuvletY5yc469nL6nNk88fEJ7X5H7uT4SZLr5JIoAypJHqR1bbCvHeIaZH9XyOvPOJybEH31GZkPdzpyqNrBE0sAAAAAAABIhR+WAAAAAAAAkMqil8LZ7OG+s4P6sWD7cTzxOJk1QrtLJ4/YdfKomSjX6qB0Ky17HZ2Uxpns0reFYpfcuR7BTFt+l7bMsNPlmqVxkVEyqZRSuWCjaIdz+tF4r+HxYOuRVWM4dPORyidWag0pGjQ/iETZqf06ayhSs9ytVembeTwlK79MfxwmeRy7W4/C2vzSing6rMih3e33DO2ZP6aHEc6NbBF9ZimcN7BC9IUV+Xi7ua/bZXL2OUd8dtPyc/PH5Xr2rdeP68+WZAnTQL8sU/KK+lLcOyz7grpVpubpdj4ny5v8rCyjMkvjSiX570g545H7pZtledD8Ntk+ltNlfj0Dx0VftP5Zop0dWKe3fU5e37tVumEfi0mWm3YbOtl2Z9mU7zfvU0qFWf3aHk8up8dxI+RbVRHevNyPojljeOwZuZxaWbZnx3V7dkyei3uP6lK9VfvlcO2vulKWqK675Afx9Ipl8pj4j4vl9u4t6v1qVZ8cXrw3d55oF3P6vJ09uFz0Vcfk9TVJqY75ubUaQtosaTCvw7bsynOtdciy03Bal/HM7v+2e53omBlZYUZxKKVUbmi06esaSyM7uEdJUuabpCQnNO/j2o/5SPI9qFvDzbcqURX3syV5fGUCeR2cK+sYlallcl4vlOcd87wYTsr3fn5atk+e0Mfq48fk+XSfcVtsnWrVkLykq3WBniHry+N/4Jj83tN7XLez89bfoqzrv5LLEgpWyVXBKC0syPfePn+Jz61LcRad6FYJWEOERYL7CtcxYu/LrqiMhuPZ+L5lf1eoTu1quj1nEp5YAgAAAAAAQCr8sAQAAAAAAIBU+GEJAAAAAAAAqZz+jCVrGPaoqgtVM4Ul9uynnWtIziSZMa4MHvt1SbKSzL5Wy2l3madLkiwnO4/JfK3dl3adrT5f13vf7memlFLzVuaSuSwvPyD6sqXVclmV5sMju9gZIK5MkIb93sxYsuqv7eN7MXQyxG0SYijyhhpqV+6AfG+rU493d8OeIqqTesjx6uF7RV+PkQnUMJx3+aRoB1NyCFeTXxiW8xo178FxOVz6koNPF+3HLtRZQ8eWyCGPly6Vx2Z+vVGTb+VFZHyZm5Q7qfefoC7ndckXZZbP4Ll6iOHcNfI88uhWmdWwR+n8qHpd7ttj58rzwchGnY0zf/Qe5za5skU6yTRLy7XOJBlL9nJc5+JMzrpWWHkcysjUKnju63TN0/tKZP2zYcYODDP2syhw70d+Ti83qMl5o7D9fbDH2F+zSoZAeZ5s13r0dTvyrXV41h/n61vZjDV0tp1LGMyZWTLp97GGIaRzjlylpZuM7ZPZh+GEzCybP/Bj3VeVeXDovvqczrSqnXxM9Nnn/+ywzu6rj+8WffY13zwFNN5fOTKLFui81yo3Ke19U9r8pY5UrWw56xw0vOtp8fQXl14v+p624qOivWy1PpcMLZHbWxiy2sY5yT5lmrlKs4G8Zvd4cuaacarLWbmI+X75tTwzqPeH+ZK1nIw8DwbGV/qe2fa/P2V8+6IjmZlBdi5y47IW5/57IdbpugdptQ5nPqt1rTCzcf3ikOgL5ibi6drkHrl9Z+D39FPhiSUAAAAAAACkwg9LAAAAAAAASIUflgAAAAAAAJDKac9YsmvIg7kT8XTGqo03axjtOuQk+Qeu2uJOahiTZO504mzLSloMrmwkV1+S/CVbktykTpjLCudkHkNoZRjZGUymtLX7dm6SzXXMLNYx0bUaa9e5wXGOacjbKMp8uCjQmQBmJtUTbXI0OlXe/03Rzg6sjae90pDsW3OeaEe1WT1dnRV9YbUs2uYxFEwcEH1L9z1btPfW1sTTY70/EX1Ty0RTLdmgr3V5K1PJ75P5Bz1DRs5DRebSzB6X57PQyJ7I9cqMpfwavc5jW2Xfvctk+3uzl+l1lmXuyHyvlW9X0hk3SY7LTrJFFiOPqdU6zPODfa5oyKwzzgcqtLKGrPgQr6qvX+VA5vPMKnltm83qfyucLcpQpcDK2PLy3imnlVLKy8l2aUSvJz8i19lz4dJ4+uSlMmfou9vk3/bf2WfE018+eqPoy+66WLQ33a8zyvKPHBF94dG9oj2/V+cSBWU5r83MC0kkQR6TVxqRLzVy3qJpmfFWP/KwaJf3fyPFxqEb5sflZ5EbHBXtrK+vK35phehz5VLaOvkOkuS7Trd06zuSzVxWkuVGs/IeKjMtvyuuelSfkx5ef7Ho++ymq+W8o9+Jp58xOST6+vLynLnOuDaX5+RxnDey8CarMgtp0Dp1rBjQy1m2Qnb2nSfvHefP0X/b3tXy4rAnJ88zx6ZW6m09WhR9anpcNKOKcd9Tse9J5X3PYnDnkqbf51y/FSS5b7Dv8e3j3ey3/xb7XOEP6ExLO+OzPqWvbdWpXW1v35mEJ5YAAAAAAACQCj8sAQAAAAAAIJXTXgpnE2U31qNmZnmJXU5iP3rWqnzHlHa4zFbDd3az1MfUbpnVU7UszuYqx3KVyS2kbpUz2vPapXLtrjPJOpJYqGOgE5H4/NNvn+sx2obHb2szxvoX/1H2Jzv73Du791vxdP/AKtHnFWS5Tm7ltni6duRR0ZexPquwph8RD41hYZVSypdVP2r/nC7leWRIPt4+uPqEnFnp/WVgaEhun1V65O03tmHSLqmQZXRhVT+eny1Zl/sV+lH5R9bWRdcn6i8S7V17r4mnhw9tEH0rHpOlccGx++LpM2F43CSlI90qqWs4/hO8DxlrP8pWdPnbdF2WcZ2IBkV7Iqv3q5nCnOirFeTnnzM+/x5r7Gz7rBht1OsdO0eWh+xYq8sz7umX2/eJ2Z8R7d37L4mnBw5sEX0bfiLLBbzH9HDu1V0/En32UO9hVZ9f7ZIFm9lvvk4ppTwrfsHFy8nziF/S9a3+0BrRFwX6+AomDou+8uNfa3udWFzV8cdE2xwmPGuUsyilVKZ8tOlyWu2T5j1Bq+8V5rnFNTz6qfrlNrnX45rXJW1JU1CR10S/uFS0zTJ1u5w00yvPO7mcPtdt+tHlou/7A8dE+4IVj8fThQtkefvooFzu0FL9t11QkOfBJffpUrPyjCxD9qxHOJat0df04Yvl3+ltGxLtvZv1ueO+JbIU+tu1y0R7dmxjPJ2flNugZmWZf1TR9xFBeUz21eR5MdH1awHKJrtZUu/lmpdCu0pUG7cpb7X1vH5ppejzrXNFVNHxF4F13qiM3dt0e84WPLEEAAAAAACAVPhhCQAAAAAAAKnwwxIAAAAAAABSOeMylmoz++Pp3MCo6PMLOsuh5dB/izD8sC1JzXIn2TPmaxcq/+ZMyGeKAmsY65R5SGfC3+LKeVosrnV2a39stc6062l1bCXJTUqbq2SfU9z113KI+KCsa9arU4/bs6PLqpM74+mZhz4j+vou/AXR9ldu0tNlWRsvhoW3eMUh2a7JnJrxKZ2x9N+lZ8oXD/9YNMd6dT7DeSWZk7S6LvezrJGjlK3IIYUzxeaXdH+NzITZf6Ve7jv9l4u+E7f+hmhfdLeRJ3FUZlQExx8R7dntX266DS5Jrp+tskUSrTdBZkm7y2noc+WOVOTQzv683I/8mj6XnKwsE30TJZkXMePp9RzplxlLRStHq3/YyBp6utz28UEZ9LTbiNF6NC8zQX5cvyCe/sGha0Vfz54LRHvLTp09VHpoUvQFj/9AtGd3f0/3zcn8FXeOS/NhoJWSuUotM5WM15r3n08sV57jvZJ+X7wh+TkFR/Q5f+7xb4o+854XZxb7szG/kwT252/tH2FFn9Nb5Sp6eX0ct8qPFfc6CTKVWkmbjdOtYeIb7+nk3xKUjfxQ671XnrzueaE+f/Xllou+/I5LRfszRZ1xU1n6DdH3jIG9or1tuX4WY/XoJtE3usM43x6SeUbhjLyP8I3MuspGeV0+aJ2nv7da5yp9vPIS0bf9uPxb1j5wUTydOTYu+qIJmb8aTuvruJ0Xab/39fIh1a5uZXWlleQa3pCLnJfXU9cxYf8tZga03yfP//Z9ZL2s3/vq+HbnNp2NeGIJAAAAAAAAqfDDEgAAAAAAAFLhhyUAAAAAAACkcsZlLJn1hQ119UY9fHZgg+irT8laWLFMu+YyQU1wJ/WiSepJ09ZVJsmsSZLrkyQTaKHyg9JmKrViZjct1DpsZ0LOU1qdfL6dZDeZWtU3p31tJzXfZj22X5LZPJFVU23mJoRVmS2ChTU//rBo+zv/W7SL/ot133J5XQkrU6LtmdkO1mfs75MZBku2XxxP/7gq97OHhi8U7aUF/dpf2/Afou9FdZmV0z+sz1lBVubxVJ8pM5f2rtDb+MCgzA947+Qb9bZ++rWib+RLt4t2eafOhbGvyzbzeGuV+SHyjZLkerTIFjH7vZz8u8OazDBxLVf0dXCusP82M2PBnxoTff6s3K+KZX3fc7IyIPoeq2wU7UJRr2eqeET07Vsj/+5qRt/+HVZLRN/BUOaS3FfWWUmHjm4Wfbljo/H0xodk7kjpMZk1Eu29P56e2/k90ee6h2vFzFGy80GcmUtW/pL9+Xt5nX9iZyr5S+V77y9bH0+bmUpKydyxuaM/ath+nJns47Y2tSeedmV32a/1+1aJvmxBHm9h5WTT5Tbuv47clwSZS6553fmR3cvJcS2rPiNzfez3xSWq6WumV5HnoJVr5flr17KL4+lP1mXm2kP9D4j2Bat2xdMbVsqswaUX6VynJfPymY2RsmzP5sN4el+/zLP7bObZon3bw6+Lp5c/vkX0nbdP5jPl9uhrc3hwj+iLZmXmUjB1WM9bkzl/9jU+yffgdr9ft/z+7Mg+TPJ9IEmfM8+sxfaKDGhPXiuimtwH65P6WvdkzNjjiSUAAAAAAACkwg9LAAAAAAAASOWMK4Uz1csHRdsvGsO5llaIvsZH2IzHOjsYknMxhke017NQww0u1pDyaZklakotXpnak1UnZZKu13arvK0T3Xo0txXz3NG4XLNPPvoalI+Ktl2OhdNn9tB3m/YVt75YtHOjF4t2bdedumE97lx7SJb2rJnQ5UNrVz7NWpNsR4P6kfb/7xfOE33VLX8p2luMoYGnc77o+0LmWaL934/px+jXfkOuc91D+nH84J5vib7ZHf8l2vYQ2KZOjjdRfmFdp13HW0O5k/2ovNHuZAjuJBJdt43tN8s2lFJKzcrr4MCYLn+bPLla9D3uhaJ9sKxLOYs5WZpjm6vpso+58lLRlxuXpb2DR3V745gsLezfobc33HGP6JvddZtomyUA9tDO3WKXzDSU0DhKauzzuNn2B2Q5k79SlsKFxw/E0/MH7xJ9lL89OdTnjp9yWqnGEvdsUZeT5kfOl33D60U7nNOvrZ14TPQ1liU1L1k704YqT7J9DfNa5+36jC7dsr+42tEDXnnMmD4p+kq71oj20uXnxNPjVfmd4/ai/JzuyLu2X2+D59WbzqeUUtGcfqYjPDYi+lY9eoFoX3hvRr/ugCybiqbl3xZU9HU6KMsS69C4b1BKlr+Fc/Zy5GsX4ntwq3I2Zxmnq7zNUc7euBy77NT1+VrXlXyf1e6Np8OKPBfUp+TnVhmT18knG55YAgAAAAAAQCr8sAQAAAAAAIBU+GEJAAAAAAAAqZzZGUtzcjjHnJHzYNc3ekU5fGeSWuN2h9m0l9vJEOiu5Z6J0uYotcrjCcVwju1nKtnLTbJ9pyO7Kcn2dvK3pc0/WqjcpHaHHj3VvEnq8bvFPdx48xpre7hWe6jcM/34fiozM5c867pS8K8T7dzGZ8TTwQmZARhOyVyt6q7b4+noMXu4XJkJEdV0Hs5FB14v+v7p+i+I9qHz9ZDtPRPLRN/W20ZF+8KHdLZX/ZjMTZo9sSOeDoz8iie2r/0hrl1aDimc8ji2j0VPybye1Nf/DvIYkzBzU6KqHIo4Oi73o94xnQGyctcm0Vcek1mToZG5VPflMNaZQOZxDc7oTIg140XRVxzLiLZ3WGdwRMdlXlxl5/fj6dr4TuXiGjI8yb5gH6f2/irY523jM/byJXtu+dKlOkfJX2bl4pw4ItqVnTqnbGbPV53LxdnJzlFyMb+/hFV5fxBax7xXHIynswNrW2zDjDEts++6lSfpslDnxFbnbDNNLpizzv925p5xPQ0q46Ivc7fMUVujromnR9bIHMKMjLBT2dlIr3M6wT1daC2oYrx2Wn6G0fR20a5P6Gtzw7UilPcRZo6SfY8RVmSOkrnv1MvyfjWJJPucOW+ra20kvhtaeYvO+/RW9xzNX2tfR0Suc0H+xpAdkHmHZq6SnalU3v8N5zY92fDEEgAAAAAAAFLhhyUAAAAAAACkckaXwtmCin583B6q1i/JR8KV8Qhb3XrM32Y+Vud6HK/hdWf4UJ9PZmlL81pJUhKWZBsWat4kr3X9bZ3sy64yGVe528KVybRfztrq8W/X9no5XUYRlGX5Sq0sy6Rwdijv/6azv2fjc+Jpf6kcttgrDYl2/djj8XRkDT9rl0ZExlPrs3d8TPT13zMs2ucZ5TtR8JDom7P2Q7NswmY+Er5QpaVJNA79a1+L2y/BSPt4fsP5KsHQxUmYf0t9SpYh+OVR0c7u1iU1SyeHRN9wrxUBYPxTYeTLcjZ/1iqNG5vQ807IbQitMs/ZfXfE0/bw50m43mv7ni4tu2Shod84fswhopVSyu9fKdtG+VtwfJ/om9/3I9Gm/A3N1MZ3iHbGl+VYyiqrEexSTnHedp8zzWOq8Xy6+N9XkpyXXdtnfhc8VdsvGCVM1nll/sCP5Wun9PdDrzAo+pT1OQVNpluxr/92mZrztcbnZkcuKMc10b722+VurlKzxm1of952tSqpdJXNOZdr7Td+caRpv/23mKVvSinlFfS9l1+SsQOh9ZnWxnfF02a8wlMRTywBAAAAAAAgFX5YAgAAAAAAQCr8sAQAAAAAAIBUzqqMpeqkHsrWy8m62Yw1/KyZuWTXFttDdJrtTmo5u+VMzG4y83nsHJ+FyiU6HdJmFLWa1/WeJXlPWm1D2vfXlYXUav9Lu3+2el3anJRONOQoGfX52YF1os+sd6/PWBklCYYlxpnD3ift3JTa5J54uu+CV4k+b9kG0c6uOS+eDo/vlesZl3ktmZy+ftnZA6E1XLLZbpVD1K1sBHO5ruF6kyynm5JkISZ5bZLlpBWU5bD1wYk9oh1V9P2Jd3xI9HklKxPEfF3V+rtqFdGsHnxAd40/LvrseyTzc3NlIbmuI7aGIaTt/cqxn9n3aZlckxmVUn6fzMbI5HSuknmMPrEN8pY4OPRYPD33+LdF31M9RwPtmx9/2NmfMzJ37GHMs6Xloh04vqPYx60pyXm7ISvTuCa1GiZerLPF9ynnazs435p5Qn4gM3bs85eZjdO4Da5h7ds/X9lZSOb5NFl2oDtTK5gbi6fDWvN9oZVOvnO6Motdfa7lJPlO3Cqrz+y33087q9nM3ArKx0VfbXynaM8dlZl7T2U8sQQAAAAAAIBU+GEJAAAAAAAAqfDDEgAAAAAAAFI5qzKWTNUpmQlg10qK+kwrfylj1aVmfN1OUpfazSykJFkEpztzKUnWUJLXno78pW7+Leb2J8mhSpKb1Gq5nfw9pijl39KtPJNW87qOiVbb4D7W5HnEKy4x1lETfcHM4Xi6OtW8Th9PHmZWRu3HfyP6BrbdLNq59ZfE096StaIv68lLb1g+EU/btfyRnWlRm4mnW13bosDINHBkOTRcP622K7vDpTFHp/lx68qHOtVr211uJ5LlvLWffWIu1+6bP3y3aOeGN+vXTfeKPjMvSCmlotqsXu7chOgLykflvAmyPdrNVWqZm9RmX8O8LXJdzByaTEHmTnmFAdH2l+ssNDuHqrbvftEu7/xyPG1mfAJJ2Oejytg9oh1UdDZOT+1C0ZcdsK4dRgZT3VqPK4On8RzUfN5u5cm5MnYWkisjtF5u/1pmZ/m2v353FpLsa55n1bDcJPlW9rk4wWtbLcu13G70tVynIwvVs+6JGhifjZ1fpnwZ1leb2BNP1ydlTqZ9DEPjiSUAAAAAAACkwg9LAAAAAAAASOWsLYWzh/M2h5dUSj4aZw8h2Dj0o/Eod+B+XNA5lOICDUdsSzIU/OnWSUnYQpXGJSkXOx3leS7dKnXr5jqTlYs0nzdJ6UsSzsdxrXX4xaWi7eVK8bRdShJUdPnSmX4covvsa9DE/R8W7b6pl8TThS3XiT5v6RrRzuSLumE9jh2Wx0Q7MvrDWllulKOkrbFMLt2j8MmGrW4xpPACnc+6dU4S718H5XauR/cbSiGs9vzRe0+5Pa22qdX2Jik1kH3usknnvDldptCqTCZjHQcmvzhkLVeXBGaXrpd9JVkaF5w4GE9XD8hyhpnHvyDanNexGGoz++Npe5/LV2dE2yyNNcviTrlco5THbyhvlst1fa8wj+OGkroEJVbdKvNKopPluKJRkkQ1uHQSD5FoPV0qfVuo17qvI+2XWNu8wrBo+8YxY99b1cdlxE51fHs8bR6jcOOJJQAAAAAAAKTCD0sAAAAAAABIhR+WAAAAAAAAkMpZm7Fks+sfzWEiG4Zkzllto9Y443enrteWpDb2TKzrT7u93cxNWox8IVcmVJJtb/V3J/lb0v7dnawzrU5qwBerrtuc1x5G285jM3OValN7RB/DT8NlZs9X4+n5sQdEX+mcm0Q7t+5iPb1klegLTx4W7WBK75NeReY8BdYQ8yJXwZWN0yJ/yZzX1WdrlYXgymBqd4j7U6/XlRfSnWtvksylxuGnk6yn+XvoWk4n9xFJMizE/VWLTC1zf7QzVezcpCioGevoFX3ZZeeItrd0pX7d9Ljoq+2+W7TLO78cT3MOx5mmPndMtAMry8/MOMoNy+PA71sm2rmh0Xg6qs3K5VrXirBysuk2Jcpuc2RatspVc/V1K3MpCdf22Zznf8ff0pAflCSzynFtS7LtrbjO265tcmUjdXK/b983eMUl8bS5z59KMKXzmGvj8vxfGbvXWs+Z9138bMATSwAAAAAAAEiFH5YAAAAAAACQCj8sAQAAAAAAIJUnTcaSbX784XjaL46IPr+0smk7SU1lkprfTupJF4qZwZMkf6eTulNX9tBCZQAlyRpK29dKkte6spwWI5spqSQ5H67joFvHiF0D7lpubnizaAcVmc8RzJ2Ip8njQFp2BuDEPR8Q7d6jz42ni1tfLPr8pWtE2zMymOz8Ja8sczLC8pierpZFnys3KazJeQUjk7CVxmyh5vlMreZ1ryf9ecW1Da7t6VYeU6vMEnO9rtypxnW2n2/Vat62M5es+bxcSbbzsi3WURiUiyrp3Az7GIgqcv8M9j8ST88fuFP0mVlnwNnGPh+Y323C2rToy5ZXi7Z5f+NZx1c2J3PLQuPYNLMllVIqSbyR61xh5kMllSjvyLHB3coeSpIPlUQnOVTdWqdrPUmup419PU3nc13/7T6vMCzafklni4V27qS1L5t5l/Z9GbqDJ5YAAAAAAACQCj8sAQAAAAAAIJUnbSmcae7oj0S7uOIK0TZL4fziUtFXn5GlBuKx+aCLwzkmGc6zzZKhVo/qe+KxxFaP4y/MsIvdKtdyvSf+IpX5dYurXLCbXENyt/u6pK9dKK5Hde3HaHPDW+Jpuzwossp87OFHgYUwe+i78bR9vRrY9ouinVt1QTztDS0XfWaZnFJKBcf3xdMZq0zOHH46o2RZhF2yZB4nob3xjpI1V+mbUqqhdErMa5fnJSjBWwzu8rv2h2Rutdy06+movM3RZ5e3uUoqveKQbBvlOP6Q3FczJVmqY5a71Q8+Kvrq43tFe3rHfxjbcPqvR8BCMfdvuzzfLu2pl/XQ6vnhc0VfdmCtaHslHRlil83VjSHao5o8DzeWCDe/Hrgqt5KUPrf8bpNrXjLcyfnBLBlriFxIWZaW5HWtvvslua4kWa7rHO9if5+WndbfbS03O7Aunrb3R7vcrTaxJ56uT8prg1k6qhTXh8XAE0sAAAAAAABIhR+WAAAAAAAAkAo/LAEAAAAAACCVp0TGkl1TWR2X9fqFfF88ncn1iT57eF9nFlKSMTktrrybJEMVt/u6VuvsxJm2XNf7cCbW29qZSmlzqLqVm9WtzK+kXNvnqqFvmNcxRHdYkbkz82P3t70NwEKw97nJhz4iZ3hIT/Ztfrno6llzqWh7A0ZuxtAKuZyaXk84NSa6wvIJuRw/p6et/KUoqMnXitwyKxfJMRx9WJN5ZzaRb9gyw6j5UMV228xucp3bWi1HaLF9vnHPYWdLtMylcs2b72syZ+N6zG20cz7szzhjfP4Za5hyZfYZ00q5c5SisszJsHOUZnd8LZ6ujN2jALg1fNcxMpjqc8dFX25yjWwPjsbTfkleK7IDq/U6jGy+UzHP//ZQ753cT7nO/0lyf5zfB1p8h0ubo5RkOUm+r7jy+JJcIxu3of3sPvv+2rwGua4rmbx1HbEZ9xVmhpJS7hwl7tlPP55YAgAAAAAAQCr8sAQAAAAAAIBU+GEJAAAAAAAAqTwlMpZs9bljoj0/9kA83bNCZlT4pZWiHdV0HoOZzaDUKTJsUmYutcq0abevVfZNklpUM/cnbeZPp9K+D6ej5tbOSerWspK8953Vs3cn16kTrmXZx5aZuWTXfNt5AWbdf21qj+izzw3AmWxm1+ed7fzglni6d8N1os9fujGe9obkdc5ft020o9npeDqckLkZ4ZRsyw2w85iaXxPNvCWllFK55llO5nX4VJxZQ/Z6i0v0cq1rusiTaJFZITjyjFpxbXtDZkVBZhqZ29vwXufs3CQzs0QuR1ltM1cpN3qxNa+v11meFl3htMzuCo7oHKXK/ttFHzlKwMIJqzLTbN5qBxV9rOYGNoo+v09npfmFYdFnZ+X4pWVNtyHJedk+F7szgZJ8Z7Iz7HpOOd1NrfKO2n1tkvw9m+u1jVlNVp5gkmuSmaNkX1cM4dyEbFfGRbs2uSeeNjOUcObjiSUAAAAAAACkwg9LAAAAAAAASOUpWQpnq83sj6ftYcxzS84V7UxOPxLo59yPdYZV/Vh4kjK5ViVM5mOLizX0e7dKsOwSMddyk5STRUGl7XlPh4xfaHvehSo1TPLeu3Syj5n7RqvluIZkbRji1FhWdmCd6Gt4xNYofzOH40X3eLk+5eWeGFrcfgQfi8fcv6v3N9/XB7a9RrSzwxtE2+tfbkyPyL4hWWqqgiCetEuh7LI5s4wiqsphrMOKa7+R1177kXtnSZiLo/zOtY7F0jBEs7F9SilRwubl5Odkb7/4TAeWKNnpi2ZU0Z9NePKw6AvLJ+Pp2pjcx+YO3CbalBoDZybz2Gw4To3TtllerZRS2dJq0TZLi+3y5mxpuWibJbZ2+W1knf/Daln3Wee9xtJofX2wI0u6df9qc0Y3JPgu41qOfd/rXk6C8mvru6zfJ8s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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "saved_vol = np.load(\"../../../outputs/tomography/tutorial_02_notebooks/recon_volume.npz\")[\"volume\"]\n", + "show_2d(\n", + " [\n", + " saved_vol[0].sum(axis = 0), saved_vol[0].sum(axis = 1), saved_vol[0].sum(axis = 2),\n", + " ],\n", + " title = [\n", + " \"Saved Volume Summed X\",\n", + " \"Saved Volume Summed Y\",\n", + " \"Saved Volume Summed Z\",\n", + " ],\n", + " cmap = 'turbo',\n", + " vmin = 0,\n", + " vmax = None,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "44983a09", + "metadata": {}, + "source": [ + "## Training Strategies\n", + "\n", + "For these reconstructions one could implement warmup, different scheduler training, or pretraining strategies. A few examples are shown below" + ] + }, + { + "cell_type": "markdown", + "id": "33311f11", + "metadata": {}, + "source": [ + "### Warmup to CosineAnneal" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "bd06b557", + "metadata": {}, + "outputs": [], + "source": [ + "\"\"\"\n", + "Clears allocated memory and terminates multiprocessing processes to make sure the next examples run without issues.\n", + "Run if previous cells were run.\n", + "\"\"\"\n", + "import torch.multiprocessing as mp\n", + "\n", + "for p in mp.active_children():\n", + " p.terminate()\n", + " p.join()\n", + "\n", + "torch.cuda.empty_cache()" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "23016ffb", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Model built, compiled successfully\n", + "Setting up DDP for obj_model\n" + ] + } + ], + "source": [ + "dset = TomographyINRDataset.from_data(\n", + " tilt_stack = tilt_series,\n", + " tilt_angles = tilt_angles,\n", + ")\n", + "\n", + "# Initialize INR Model\n", + "model = HSiren(alpha = 1, winner_initialization = True)\n", + "\n", + "# Initialize INR Object\n", + "obj_inr = ObjectINR.from_model(\n", + " shape = (100, 100, 100),\n", + " device = device,\n", + " model = model,\n", + ")\n", + "\n", + "# Define a logger\n", + "logger = LoggerTomography(\n", + " log_dir = \"../../../outputs/tomography/tutorial_02_notebooks/\",\n", + " run_prefix = \"inr_tomography_warmup_cosineanneal\",\n", + " run_suffix = \"1\",\n", + " log_images_every = 2,\n", + ")\n", + "\n", + "# Initialize INR-Based Tomography Object\n", + "tomo_inr = Tomography.from_models(\n", + " dset = dset,\n", + " obj_model = obj_inr,\n", + " device = device,\n", + " logger = logger,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ca3f8128", + "metadata": {}, + "outputs": [], + "source": [ + "# Define optimizer and scheduler parameters - only optimizing the object.\n", + "\n", + "# Optimizers and schedulers can also be defined as dictionaries.\n", + "optimizer_params = {\n", + " \"object\": {\n", + " \"type\": \"adam\",\n", + " \"lr\": 1e-4,\n", + " },\n", + "}\n", + "\n", + "scheduler_params = {\n", + " \"object\": {\n", + " \"type\": \"linear\",\n", + " },\n", + "}\n", + "\n", + "# Define constraints, can also be defined as dictionaries.\n", + "\n", + "obj_constraints = {\n", + " \"name\": \"obj_inr\",\n", + " \"tv_vol\": 1e-4,\n", + " \"positivity\": True,\n", + " \"sparsity\": 1e-6,\n", + "}\n", + "\n", + "dset_constraints = {\n", + " \"type\": \"base_tomography_dataset\",\n", + " \"tv_shifts\": 1e-6,\n", + " \"tv_zs\": 1e-6,\n", + "}\n", + "\n", + "# Warmup Schedule for 10 epochs\n", + "\"\"\"\n", + "Example of including a warmup schedule of the number of rays sampled per epoch.\n", + "This can be helpful especially if your model size is quite large for smoothening training.\n", + "\n", + "The format for creating your own `num_samples_per_ray` list is as follows:\n", + "`[(epoch, num_samples), (epoch, num_samples), ...]`\n", + "\n", + "I.e, a list of tuples of (epoch, num_samples) pairs.\n", + "\"\"\"\n", + "num_samples_per_ray = [\n", + " (0, 20),\n", + " (1, 20),\n", + " (2, 40),\n", + " (3, 40),\n", + " (4, 60),\n", + " (4, 60),\n", + " (6, 80),\n", + " (7, 80),\n", + " (8, 100),\n", + " (9, 100),\n", + "]\n" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "4da983fb", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Dataloader setup complete:\n", + " Total train samples: 290000\n", + " Local batch size: 1024\n", + " Global batch size: 1024\n", + " Train batches per GPU per epoch: 283\n", + "num_samples_per_ray schedule provided.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Reconstruction | Loss: 5.50299e-03, Consistency Loss: 3.88103e-03, Soft Constraint Loss: 1.62197e-03 | Images Logged: 100%|██████████| 10/10 [00:51<00:00, 5.15s/it]\n" + ] + } + ], + "source": [ + "tomo_inr.reconstruct(\n", + " num_iter = 10,\n", + " optimizer_params = optimizer_params,\n", + " scheduler_params = scheduler_params,\n", + " obj_constraints = obj_constraints,\n", + " dset_constraints = dset_constraints,\n", + " num_samples_per_ray = num_samples_per_ray,\n", + " num_workers = 32,\n", + ")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c79c1917", + "metadata": {}, + "outputs": [], + "source": [ + "# Initialzie pose optimizer \n", + "\n", + "\"\"\"\n", + "Here we show an example of passing `optimizer_params` and `scheduler_params` as dictionaries and not using\n", + "the `OptimizerParams` and `SchedulerParams` classes. Albeit, at the cost of doing autocomplete and showing\n", + "type hints.\n", + "\"\"\"\n", + "\n", + "optimizer_params = {\n", + " \"pose\": {\n", + " \"type\": \"adam\",\n", + " \"lr\": 1e-2,\n", + " }\n", + "}\n", + "\n", + "# Define new schedulers for both optimizers using CosineAnnealing\n", + "scheduler_params = {\n", + " \"object\": {\n", + " \"type\": \"cosine_annealing\",\n", + " },\n", + " \"pose\": {\n", + " \"type\": \"cosine_annealing\",\n", + " }\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9c08e385", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "DatasetConstraintParams.BaseTomographyDatasetConstraints(tv_zs=1e-06, tv_shifts=1e-06, _name='base_tomography_dataset')" + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "\"\"\"\n", + "Showing that the dictionaries are made into DatasetConstraints.\n", + "\"\"\"\n", + "tomo_inr.dset.constraints" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "4246842a", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Reconstruction | Loss: 4.99103e-04, Consistency Loss: 4.51082e-05, Soft Constraint Loss: 4.53995e-04 | Images Logged: 100%|██████████| 30/30 [02:23<00:00, 4.77s/it]\n" + ] + } + ], + "source": [ + "# Reconstruct\n", + "\n", + "tomo_inr.reconstruct(\n", + " num_iter = 30,\n", + " optimizer_params = optimizer_params,\n", + " scheduler_params = scheduler_params,\n", + " num_samples_per_ray = 100,\n", + ")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "82414380", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(
,\n", + " array([,\n", + " ,\n", + " ],\n", + " dtype=object))" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+Odbh/p3OZ1oy++BYp553ZXqn3iYxn8XCrH5EeXju5B8f9TKtqj3eY7ahlNHlY+WULifId5r76cls96TXORMSSV2iyCPJx+aWE6phzes4p8zG97t5hSnlTV3yItVXaNf/r6hllzkGjN32RdWXH/hTMF1xHnbLc+zHvKfoEetGlrfFFV7ONPlzWdTXholSqjcdQzTX9bfY38uYZXE119HAMg772BE2LHTlNoSUvpWqxz9UzFt2yqRL+novkdRRDZOlhrueos9hJkUqhY1ZtvJ0KheabWW+U8X9DWJHaoiItJx0ZTCdWrhG9dllqsnH9G+43N679Xryw3Vt51Sr75h54n4PwkxHeXbFdW6NuIiZwhNLAAAAAAAAiIUbSwAAAAAAAIiFG0sAAAAAAACIZVoylrzQ4YjTTntyw7I2sr451bE4mM7Pb1F9hT6dEbM2uymYnpc4rPqaRNeql8TUv+cTuha+4Ol7egMtpj2WLjnz6jyesZSZ91BaZ7BMiHk/R8r6bxkt6fZEweTUNB3Vw1Rn9+q/ZXyvyZZyh2QPzUaaoXpbe3+Y+4jep75++QuC6b/o+IXquzF3lWp37DWvPRqSqeSu0y+M6c6yHiY4UdaZRnElyno/8j2To7R7aIXqu+98vQ3PfNwMl5ro0d+nm1eadtfDPXqlns6s8gvm716wQed4/ei0y1V7bdt6sz0HL1B9p27QwyPnQvadwuAW1e543NQed/bOd2dXmraYHK2x0f2h84YJHWZ9mobDxpPczK1SbrDKnOFmKh8g2dwbTGd6dXZDeqHO/Rt68bpgescZ96s+39Pnjrb95ty2cuINet7bPxdMF0f2hG7fdGTjzEaRslqmKIckLDfp6ZJ9Uut4Oh3ZUrXoIeOrf0e8TFvD1uk7mUuTf511rXICfp+jHMdna07JbHUiZ+gkMx2q3TTvLNVOrT0vmPZ79W8mW3aevgbNbNbLKex9NJguDuvfmPnBjaod9/2O9h04cfLC3G2frvOBuj8R4frfPVd4mfYqc4Yfq6JkAE41nlgCAAAAAABALNxYAgAAAAAAQCzcWAIAAAAAAEAs05KxFJrBE2K6agTtGsfM0bLuK1e/91aUpPMvusaxJKb+fTyh+zIJpzbe+iRynt6Gso5YkpxnZnaXOyLNVbfXVcibeZdsXqjX+ad79Tr33mX6joP6WzsHavy//pfqS+x4bTD91dP+WfW1DuRUe+jrf2mWmR9WfW49dvgG6XwjKZh2sqA/w2RR71eJktkHU8XwPAA7Yymx+2TVd/WiD6r28955WzB9pKzreh/64xuC6ZO3OTXKBf0+iJXzkLnzQdW1ZOAVqn2k02z/qY/uUH1j992k2uWQTKv84Ab92p/+RzC9cKvOdXLf+/HNdwbTEwOPqL5G1We7uRVeunrddMVrQ/I5TnQq+6NUUH1eUp+uEp7ZlxqTWDZ9mldcptrpNSa7IbdururbtG67ared8vVg+vyWzarPPSftmGcyzzZ5+ntxUukdwXTh0TtV39gTP1ftEzGHZTJmIrvHPQbZxw43f6Gc18fImficpmqdYTkVYZkgM5WxMRUSaZ2LKUnnmtPKbjyec1EaLco+6Z5nbJX72dR/v2Yq72Y25JTZput9SGZNvmGqbYHqy559lWqPrekKpo/26hzVQtbsG8mCvlbpOPmZqt269Yxgumm/zhbNHnSui9f/wKxjeKvMtFqfi86aO3GPSe75KeyYE5rHGpIrXYt97HKPTTP5O50nlgAAAAAAABALN5YAAAAAAAAQy7SUwvmlnDWdd/qqP4bqmqohj/MDZgj0pocfVn1zzjxdte+bY0pwVrdsUn393qHqK3HK2ZJOuVvJNzMkE+GFHeNWCcig6KFrR31T3pbz9eN3Jefj9nPmsfrWrfr9HNv8S/1apwxstrMfAxzb8zvVN/ZD0/Z+Ev7Ib9jjhGGPebr7tTsscMIuhXMWk8zrx90zE9Z+n9T7TaLklmNa60zqdSbXP0u1H3zgOcF080hW9a08aPYxb8z5rpX0NtiP45eO7NVdd+iStdLIwWA6nzus+sKGPK/1SG1uz++D6Yn994XOG7asKI+AR3l0XM8b/9HXE11x3HosvJCrPqOIJDJWmUhuSPfZ5wr3hSHlDFEev68c3jVftb/1jFeqvsLFZ6v2n87/UzC9fOU3VN9rWu5W7TXl3cF0T0Gvs5DQJ5q9Heb8cOsz9WP0d3VfHUwve/Aq1dd5/8WqnX/QlM2Ob7tD9dVzLp6q8ov4383q8zayxCpsnXZphohIqs0MXZ1IT36oer8wotrFEefYHFJq3ChRhl12hQ3fHKXEIsrnFnZsbuSxIUzoNqT1NpTz48H08XaNNp3C3v+wIbyjmKrSrdk2FHyt7Zmq7YtbYuVub6pVl7s1LTgnmM6c+XzVd+SZOu5i9+rHguliu75+9ZpMaZzn6fiFAxOtehvO6AumWw/3qb6efeerdsfqM4Ppsdu+qPrca9247/1M71PHEvf8Wut1jSrVC7vucfsadW1TeV6pfv/Evu8y3XhiCQAAAAAAALFwYwkAAAAAAACxcGMJAAAAAAAAsUxTxlLcetjJZwDUU4dcHDWZFSP3f131LSjpbIzhwTcF079+9i9U38LOJ1S7OzVo+tL7Vd88J4+pM2HyEFIJJ8PGMSomD2fI15kLA+WuYHpPfp7qOzDer9otB61a4wG9PW4ew4mqkUMy2nX85fyo7iuM65kLpjY2mdOfd2ZM3+/1QzIXkuli1T5XyhkCtWnMLLfpqM5qSk5YyTQ5p5a4rLObpGQPeexkS+X1kKx27bE7VLYrSt7JZPumSmPzV/LW9MzVSc8E+30sO/uOmybWqGyMKOzPNdWxWPWle1epdnKFyec7fEGX6hu97P+q9vu6vhlMnzqqsxv69+rcpE7ru9o0ob/TxZROlDrSYb5jy3tuU32Xn2Kymx5as1L13fqCy1S79xcmj6n1q3oI9NGN31ftKBlm0zGsda3v5mS3IW7+Wq11eul21ZfuPkm1Ux3mPO21ztHLyerXKmV9big7+1VxcHswXRrV1ydu3l0jMy0nKyxTM0p2U6P2sSjH+LC8NZf7t4Qe15xzbzlncpWebueKMOWQvKmwzyZKbl5lXqyTNTQD35npUE++UT3ZaFF4GZON5GYqtZz656qdOOusYHrbOfp30NGTdZ7gnDbzW3FORs/bkTL7XG/yiOprS+hrGduuov6dtj23RLUfXWuyUNe2v1v1JX/6NdXO7THn9FJuoOo66zFd19eNykKdKhW5fyGZgFHYf7eXiZCpOItysnhiCQAAAAAAALFwYwkAAAAAAACxcGMJAAAAAAAAsUxLxpKtsma5ej15PfW54dtQfTmF4a2qPf7Yj1W7M9saTLcevEL1bT5vs2rvWfB4MD3YsU31DWT2qXabZ2pwswn9HmUTenuLvsnYGPF13sWevMlR2jmyQvWV9urshpWPmYyQwpYf6nVYuVMzxc0MSCSzVeaMxrP2q3oyltzX2vuVXxjRfTknT+ioqcdOtLWqrlTa2e+TdrqMrt1NJyf/FR5v0+/n4PIDwXR2VNfyzttisjya9jp/Z87JTSpUfw/T89fptjVdGta5HuNP3K6XGyGjIJntNevoOVl3OsecwtC2YLpcmHyOm2uq6rzVfjSL6qanm58b0u28816kzfGgnrylsNwMV6Z3jZl+ztWq7+AzdBbSnrUPB9N/vurLqu89Ox9S7UV/NP+PJzWkc5L8tF5uwspnk4LOZ/OzOomqu80cH/r69HLWtpocuPM7HlB95/VuUO2PPN+8L12Pv1z1ec73tmTtszOVhWCvdzZ+h+wMhlTbfNVXkdXVb9qJ9k69oBZ9/pds9WwHz8nKSx012SL+0SOqr3RQXwfltv82mC6O6vylMGHH8Fo5FFORWSESNSvL2oaQnKRa/arPzfEJeY+8jP583WOgfYycjfv5THGvzew8x2SrzrQJO3fU856GZYSFrafW/jlVx7a4WXNh36+p2idr5eRlus01YMuFb1R9+y/TuXT71v0+mO53zntntOjfdEtT5ti3QHSGUX/JXNMvPar/7s6cfobDs07buzsfVn2Ptfeo9m1rzW+xB8qvVn1r979IqpnY/6Bqu9e6YTlk9Qjbl6Ps57bpuo6IdG6Yogw1exsS6fCMpbDM2pk8H/DEEgAAAAAAAGLhxhIAAAAAAABimYFSOLd8SA9PXutx40aIUmJXGN6m2uMPm6GVm5MvU30rk7rU7ImzzX27nf367zrU0qfaTUkzHH3G04/YucNa2o4UulR7/4gpb+v80/mqb+H9HapdvvtXwfTIpp/ovln4WHXYcLpRyuSm6m+zh/dMNveqvvKofmy2PGyGfvaamlVfUrpUO1G2hqYu6FIX33PaVnOsU+9HB9ber9rnLvxFMH2woPfHzb2XBtPrti1SfZIbVU27zC+18BTVVzxTfycKLabMp2VH+Ocwsv7bZh3OZ2aXvomItK65ymzDYl1+5ypsezCYdsvvGjVEa1jpxmwYKvV4UBh8QrXTS85S7US62ZrWJSOJvNlHK4YqDxlSutb5J73wtGDaLX3be9YfVPsli74TTP/TFv24+4If6jK/wd/vDab3PDGu+rp69Gm6c6H5W5vm6WOHl9HHg2Sn2de6Fuj3qG2eOWa2zdHlIGVPb8ML5phhl+9f8krVl+pcql8bs7w0bPjeeszE9y3KOr1st263z9XLWmTO6RPz9XlupFefE/NZc5wspYuqL1nQ+1HTmCm5aD3cr/oyAytVu22F+e6Vtv9J9U3sNWWd+QHd5worD3I//7jlb/V83rVKYfW81c9fUYaJrvg7rdIsr12f56SgP2/3GIknlfNOGbX1uZYL+vrFy5gogoTzuSWc/SHuEOi1jmXRyjOn/9o8bglTI9nrda//vIwub8ue/IJgeteL9PaOnKGv+S7ovieYPjetj1+Ly4dVuzNvPseecV2GvuiQOb52D+h1pnO6vN02X2+6tKzQv/eaO0wZ8uHV+ly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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "obj = tomo_inr.obj_model.obj_view[0]\n", + "\n", + "show_2d(\n", + " [obj.sum(axis = 0), obj.sum(axis = 1), obj.sum(axis = 2)],\n", + " title = ['INR-Based Reconstruction Summed X', 'INR-Based Reconstruction Summed Y', 'INR-Based Reconstruction Summed Z'],\n", + " cmap = 'turbo',\n", + " vmin = 0,\n", + " vmax = None,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "1c2a0d07", + "metadata": {}, + "source": [ + "### Pretraining\n", + "\n", + "Convergence can be achieved faster by pretraining the INR object on a conventional algorithm." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "45e52d97", + "metadata": {}, + "outputs": [], + "source": [ + "\"\"\"\n", + "Clean up any lingering processes and cache before running the next cell.\n", + "\"\"\"\n", + "import torch.multiprocessing as mp\n", + "\n", + "for p in mp.active_children():\n", + " p.terminate()\n", + " p.join()\n", + "\n", + "torch.cuda.empty_cache()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "18eaac50", + "metadata": {}, + "outputs": [], + "source": [ + "dset = TomographyPixDataset.from_data(\n", + " tilt_stack = tilt_series,\n", + " tilt_angles = tilt_angles,\n", + ")\n", + "\n", + "obj_pix = ObjectPixelated.from_uniform(\n", + " shape = (100, 100, 100),\n", + " device = device,\n", + ")\n", + "\n", + "tomo_conv = TomographyConventional.from_models(\n", + " dset = dset,\n", + " obj_model = obj_pix,\n", + ")\n", + "\n", + "tomo_conv.reconstruct(\n", + " num_iter = 10,\n", + " inline_alignment = True,\n", + " smoothing_sigma = 0.5,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ff2ab627", + "metadata": {}, + "outputs": [], + "source": [ + "show_2d(\n", + " [obj_pix.obj_view[0].sum(axis = 0), obj_pix.obj_view[0].sum(axis = 1), obj_pix.obj_view[0].sum(axis = 2)],\n", + " cmap = 'turbo',\n", + " vmin = 0,\n", + " vmax = None,\n", + ")\n", + "\n", + "obj_pix.obj.max()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2c65616d", + "metadata": {}, + "outputs": [], + "source": [ + "\"\"\"\n", + "Pretraining currently is a little cumbersome, requiring you to transpose the pixelated\n", + "reconstruction to match the axes of the INR reconstruction.\n", + "\"\"\"\n", + "\n", + "obj_pix_pretrain = obj_pix.obj_view\n", + "\n", + "# Transpose to INR coordinates\n", + "obj_pix_pretrain = torch.from_numpy(obj_pix_pretrain.transpose(0, 2, 3, 1)) # Tranpose here note (C, D, H, W)\n", + "obj_pix_pretrain = obj_pix_pretrain.to(obj_pix.obj.device) \n", + "\n", + "show_2d(\n", + " [obj_pix_pretrain[0].sum(axis = 0), obj_pix_pretrain[0].sum(axis = 1), obj_pix_pretrain[0].sum(axis = 2)],\n", + " cmap = 'turbo',\n", + " vmin = 0,\n", + " vmax = None,\n", + " title = [\"Pretrain Object Summed X\", \"Pretrain Object Summed Y\", \"Pretrain Object Summed Z\"]\n", + ")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1ce99a59", + "metadata": {}, + "outputs": [], + "source": [ + "model = HSiren(alpha = 1, winner_initialization = True)\n", + "\n", + "obj_inr = ObjectINR.from_model(\n", + " shape = (100, 100, 100),\n", + " device = device,\n", + " model = model,\n", + ")\n", + "\n", + "\"\"\"\n", + "Here we define a `TomographyINRPretrainDataset` object that will be used to pretrain the INR. We cannot use the same\n", + "`TomographyINRDataset` object.\n", + "\"\"\"\n", + "pretrain_dset = TomographyINRPretrainDataset(\n", + " pretrain_target = obj_pix_pretrain,\n", + ")\n", + "\n", + "optimizer_params = {\n", + " \"type\": \"adam\",\n", + " \"lr\": 1e-5,\n", + "}\n", + "\n", + "scheduler_params = {\n", + " \"type\": \"plateau\",\n", + "}\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "605981e1", + "metadata": {}, + "outputs": [], + "source": [ + "\"\"\"\n", + "Pretraining takes quite a while to run and is normal. \n", + "\n", + "At this point you would want to save the pre-trained model for checkpointing. This can\n", + "be done later when we define `tomo_inr`.\n", + "\"\"\"\n", + "\n", + "obj_inr.pretrain(\n", + " pretrain_dataset = pretrain_dset,\n", + " num_iters = 30,\n", + " optimizer_params = optimizer_params,\n", + " scheduler_params = scheduler_params,\n", + " loss_fn = \"l2\",\n", + " batch_size = 1024,\n", + " num_workers = 32,\n", + ")\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "91dbd12e", + "metadata": {}, + "outputs": [], + "source": [ + "obj = obj_inr.obj_view[0]\n", + "show_2d(\n", + " [\n", + " [obj.sum(axis = 0), obj.sum(axis = 1), obj.sum(axis = 2)],\n", + " [obj_pix.obj_view[0].sum(axis = 0), obj_pix.obj_view[0].sum(axis = 1), obj_pix.obj_view[0].sum(axis = 2)],\n", + " ],\n", + " title = [\n", + " [\"INR Pretrained Reconstruction Summed X\", \"INR Pretrained Reconstruction Summed Y\", \"INR Pretrained Reconstruction Summed Z\"],\n", + " [\"Conventional Reconstruction Summed X\", \"Conventional Reconstruction Summed Y\", \"Conventional Reconstruction Summed Z\"],\n", + " ],\n", + " cmap = 'turbo',\n", + " vmin = 0,\n", + " vmax = None,\n", + ")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d64a3d34", + "metadata": {}, + "outputs": [], + "source": [ + "# Reconstruct using the same pretrained object\n", + "dset = TomographyINRDataset.from_data(\n", + " tilt_stack = tilt_series,\n", + " tilt_angles = tilt_angles,\n", + ")\n", + "\n", + "# Define a logger\n", + "logger = LoggerTomography(\n", + " log_dir = \"../../../outputs/tomography/tutorial_02/\",\n", + " run_prefix = \"inr_tomography_pretrained\",\n", + " run_suffix = \"1\",\n", + " log_images_every = 2,\n", + ")\n", + "tomo_inr = Tomography.from_models(\n", + " dset = dset,\n", + " obj_model = obj_inr,\n", + " device = device,\n", + " logger = logger,\n", + ")\n", + "\n", + "tomo_inr.save(\"../../../outputs/tomography/tutorial_02_notebooks/tomo_pretrained_inr.zip\", skip = [\"dataloader\"], mode = 'o')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "db15e512", + "metadata": {}, + "outputs": [], + "source": [ + "# Define optimizer and scheduler parameters\n", + "\n", + "optimizer_params = {\n", + " \"object\": {\n", + " \"type\": \"adam\",\n", + " \"lr\": 1e-4,\n", + " },\n", + " \"pose\": {\n", + " \"type\": \"adam\",\n", + " \"lr\": 1e-2,\n", + " }\n", + "}\n", + "\n", + "scheduler_params = {\n", + " \"object\": {\n", + " \"type\": \"cosine_annealing\",\n", + " },\n", + " \"pose\": {\n", + " \"type\": \"cosine_annealing\",\n", + " }\n", + "}\n", + "\n", + "obj_constraints = {\n", + " \"name\": \"obj_inr\",\n", + " \"tv_vol\": 5e-7,\n", + " \"positivity\": True,\n", + " \"sparsity\": 1e-6,\n", + "}\n", + "\n", + "dset_constraints = {\n", + " \"type\": \"base_tomography_dataset\",\n", + " \"tv_shifts\": 1e-6,\n", + " \"tv_zs\": 1e-6,\n", + "}\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "144c3c45", + "metadata": {}, + "outputs": [], + "source": [ + "tomo_inr.reconstruct(\n", + " num_iter = 30,\n", + " optimizer_params = optimizer_params,\n", + " scheduler_params = scheduler_params,\n", + " obj_constraints = obj_constraints,\n", + " dset_constraints = dset_constraints,\n", + " num_samples_per_ray = 100,\n", + ")\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "77fcd0bb", + "metadata": {}, + "outputs": [], + "source": [ + "obj = tomo_inr.obj_model.obj_view[0]\n", + "\n", + "show_2d(\n", + " [obj.sum(axis = 0), obj.sum(axis = 1), obj.sum(axis = 2)],\n", + " cmap = 'turbo',\n", + " title = [\"INR Pretrained Reconstruction Summed X\", \"INR Pretrained Reconstruction Summed Y\", \"INR Pretrained Reconstruction Summed Z\"],\n", + " vmin = 0,\n", + " vmax = None,\n", + ")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.7" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/tutorials/tomography/notebooks/tomography_03_preprocess.ipynb b/tutorials/tomography/notebooks/tomography_03_preprocess.ipynb new file mode 100644 index 0000000..e69de29 diff --git a/tutorials/tomography/scripts/tomography_01_lite.py b/tutorials/tomography/scripts/tomography_01_lite.py new file mode 100644 index 0000000..542b594 --- /dev/null +++ b/tutorials/tomography/scripts/tomography_01_lite.py @@ -0,0 +1,52 @@ +from quantem.tomography.dataset_models import TomographyPixDataset, TomographyINRDataset +from quantem.tomography.tomography_lite import TomographyLiteConv, TomographyLiteINR +import numpy as np +from quantem.core.visualization import show_2d + +from quantem.tomography.utils import fourier_cropping + +""" +Example script to run the lite version of the INR-based tomography pipeline. + +*Cedric Lim, 2/1/26* +""" + +# Load Phantom Dataset +tilt_series = np.load('../../../data/tilt_series.npy') +tilt_angles = np.load('../../../data/tilt_angles.npy') + +# Fourier crop +tilt_series = np.array([fourier_cropping(img, (100, 100)) for img in tilt_series]) # Cropped down to 100x100 for speed + +# Initialize dataset +dset = TomographyINRDataset( + tilt_stack = tilt_series, + tilt_angles = tilt_angles, +) + +# Initialize tomography object +tomography_inr = TomographyLiteINR.from_dataset( + dset, + device = 'cuda:0', + log_dir = '../../../outputs/tomography/tutorial_01_scripts/tomo_inr_lite', + log_images_every = 2, +) + + +constraints = { + "positivity": True, + "tv_vol": 1e-6, +} + +tomography_inr.reconstruct( + num_iter = 50, + # reset = True, + obj_lr = 1e-4, + pose_lr = 1e-2, + batch_size = 1024, + num_workers = 32, + learn_pose = True, + scheduler_type = "cosine_annealing", + constraints = constraints, +) + diff --git a/tutorials/tomography/scripts/tomography_02_full.py b/tutorials/tomography/scripts/tomography_02_full.py new file mode 100644 index 0000000..bc46c70 --- /dev/null +++ b/tutorials/tomography/scripts/tomography_02_full.py @@ -0,0 +1,132 @@ +from quantem.tomography.tomography import TomographyConventional, Tomography +from quantem.tomography.dataset_models import TomographyPixDataset, TomographyINRDataset, TomographyINRPretrainDataset +from quantem.tomography.object_models import ObjectINR, ObjectPixelated +from quantem.tomography.logger_tomography import LoggerTomography +from quantem.core.ml.inr import HSiren +import numpy as np + +from quantem.tomography.utils import fourier_cropping +from quantem.core.visualization import show_2d +import torch + +""" +Example script to run the full version of the INR-based tomography pipeline. In this case, doing the full warmup procedure to cosine annealing. + +*Cedric Lim, 2/1/26* +""" + +device = "cuda:2" + +# Load Phantom Dataset +tilt_series = np.load('../../../data/tilt_series.npy') +tilt_angles = np.load('../../../data/tilt_angles.npy') + +tilt_series = np.array([fourier_cropping(img, (100, 100)) for img in tilt_series]) # Cropped down to 100x100 for speed + +dset = TomographyINRDataset( + tilt_stack = tilt_series, + tilt_angles = tilt_angles, +) + +# Initialize INR Model +model = HSiren(alpha = 1, winner_initialization = True) + +# Initialize INR Object +obj_inr = ObjectINR( + shape = (100, 100, 100), + device = device, + model = model, +) + +# Define a logger +logger = LoggerTomography( + log_dir = "../../../outputs/tomography/tutorial_02_scripts/", + run_prefix = "inr_tomography_warmup_cosineanneal", + run_suffix = "", + log_images_every = 2, +) + +# Initialize INR-Based Tomography Object +tomo_inr = Tomography( + dset = dset, + obj_model = obj_inr, + device = device, + logger = logger, +) + +# Define optimizer and scheduler parameters - only optimizing the object. + +optimizer_params = { + "object": { + "type": "adam", + "lr": 1e-4, + }, +} + +scheduler_params = { + "object": { + "type": "linear", + }, +} + +# Define constraints + +constraints = { + "tv_vol": 5e-7, + "positivity": True, +} + +# Warmup Schedule for 10 epochs + +num_samples_per_ray = [ + (0, 20), + (1, 20), + (2, 40), + (3, 40), + (4, 60), + (4, 60), + (6, 80), + (7, 80), + (8, 100), + (9, 100), +] + +tomo_inr.reconstruct( + num_iter = 10, + optimizer_params = optimizer_params, + scheduler_params = scheduler_params, + constraints = constraints, + num_samples_per_ray = num_samples_per_ray, + num_workers = 32, +) + + +# Initialzie pose optimizer + +optimizer_params = { + "pose": { + "type": "adam", + "lr": 1e-2, + } +} + +# Define new schedulers for both optimizers using CosineAnnealing +scheduler_params = { + "object": { + "type": "cosine_annealing", + }, + "pose": { + "type": "cosine_annealing", + } +} + +# Reconstruct + +tomo_inr.reconstruct( + num_iter = 20, + optimizer_params = optimizer_params, + scheduler_params = scheduler_params, + num_samples_per_ray = 100, +) + + diff --git a/tutorials/tomography/simulated_data/tomography_00_generate_phantom.ipynb b/tutorials/tomography/simulated_data/tomography_00_generate_phantom.ipynb new file mode 100644 index 0000000..e164eab --- /dev/null +++ b/tutorials/tomography/simulated_data/tomography_00_generate_phantom.ipynb @@ -0,0 +1,218 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "fd335434", + "metadata": {}, + "outputs": [], + "source": [ + "%load_ext autoreload\n", + "%autoreload 2" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "76ab8f6f", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/cedlim/quantem/quantem/.venv/lib/python3.12/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n" + ] + } + ], + "source": [ + "import torch\n", + "import numpy as np\n", + "\n", + "from quantem.core.visualization import show_2d\n", + "from quantem.tomography.utils import rot_ZXZ" + ] + }, + { + "cell_type": "markdown", + "id": "588b65f4", + "metadata": {}, + "source": [ + "# Creating Phantom Dataset\n", + "Cedric Lim, *12/5/2025*\n", + "\n", + "**Note: Requires the tomography branch (TEMP)**" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "15a636d9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(
,\n", + " array([, , ], dtype=object))" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Load phantom volume\n", + "\n", + "phantom_vol = torch.from_numpy(np.load('../../../data/phantom.npy')).type(torch.float32)\n", + "\n", + "show_2d(\n", + " [phantom_vol.sum(axis = 0),\n", + " phantom_vol.sum(axis = 1),\n", + " phantom_vol.sum(axis = 2)],\n", + " cmap = 'turbo',\n", + " vmin = 0,\n", + " vmax = 50\n", + ")\n" + ] + }, + { + "cell_type": "markdown", + "id": "cada1d75", + "metadata": {}, + "source": [ + "## Simulate tilt series dataset\n", + "\n", + "Create a tilt series dataset with a tilt step of 4 degrees, tilt range of (-70, 70). with a 1 degree systematic tilt axis error" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "2a8706e0", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/cedlim/quantem/quantem/src/quantem/tomography/utils.py:10: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.detach().clone() or sourceTensor.detach().clone().requires_grad_(True), rather than torch.tensor(sourceTensor).\n", + " x = torch.tensor(x, dtype=torch.float32, device=device)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Tilt series shape: torch.Size([29, 200, 200])\n", + "tensor([-70., -65., -60., -55., -50., -45., -40., -35., -30., -25., -20., -15.,\n", + " -10., -5., 0., 5., 10., 15., 20., 25., 30., 35., 40., 45.,\n", + " 50., 55., 60., 65., 70.])\n" + ] + } + ], + "source": [ + "tilt_step = 5\n", + "tilt_angles = torch.arange(-70, 71, tilt_step).type(torch.float32)\n", + "tilt_series = []\n", + "tilt_axis = 1\n", + "\n", + "for tilt_angle in tilt_angles:\n", + " tilt_series.append(rot_ZXZ(phantom_vol.unsqueeze(0), z1 = tilt_axis, x = tilt_angle, z3 = -tilt_axis, device = 'cpu').squeeze(0).sum(axis = 0))\n", + "\n", + "tilt_series = torch.stack(tilt_series)\n", + "print(\"Tilt series shape: \", tilt_series.shape)\n", + "print(tilt_angles)" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "88ab59b4", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = show_2d(\n", + " [tilt_series[0], tilt_series[14], tilt_series[25]],\n", + " titles = ['Tilt angle: {}'.format(tilt_angles[0]),\n", + " 'Tilt angle: {}'.format(tilt_angles[14]),\n", + " 'Tilt angle: {}'.format(tilt_angles[25])],\n", + " cmap = 'turbo',\n", + " vmin = 0,\n", + " vmax = 50\n", + ")\n" + ] + }, + { + "cell_type": "markdown", + "id": "cffc218a", + "metadata": {}, + "source": [ + "# Saving Simulated Data" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "97a475ad", + "metadata": {}, + "outputs": [], + "source": [ + "np.save('../../../data/tilt_series_1_deg_tilt_axis.npy', tilt_series)\n", + "np.save('../../../data/tilt_angles_1_deg_tilt_axis.npy', tilt_angles)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8071fe6a", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.3" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +}