{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.10.13","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"none","dataSources":[{"sourceId":67356,"databundleVersionId":8006601,"sourceType":"competition"}],"dockerImageVersionId":30732,"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":false}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"## Versions\n\n- **Version 1** - Initial unfinished notebook\n- **Version 2** - Updated code for validation and submission\n- **Version 3** - Project inspiration and costs updates","metadata":{}},{"cell_type":"markdown","source":"# Contents\n\n- Inspiration\n- Overview of OpenAI fine tuning and costs!\n- Load dependancies\n- Data Preparation\n- Training\n- Evaluating the training\n- Submission\n- References","metadata":{}},{"cell_type":"markdown","source":"![openai-lockup.png](attachment:a059dbcc-ff37-4a00-8deb-c9b2e1793899.png)\n\nImage Credit: 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"}}},{"cell_type":"markdown","source":"# Inspiration","metadata":{}},{"cell_type":"markdown","source":"This notebook was inspired by a recent paper (july 2024) by Google Research and Google Deep Mind [Tx-LLM: A Large Language Model for Therapeutics](https://arxiv.org/abs/2406.06316)\n\n*Large language models (LLMs) have emerged as useful systems for encoding information from large-scale data and communicating the information using language. Interestingly, LLMs have shown promise for multiple types of tasks such as multiple-choice question answering, time series prediction, and regression.Furthermore, LLMs can be effectively adapted to specific domains such as medicine or chemistry with\nin-context learning or finetuning.*\n\n![img_one.png](attachment:96414047-281a-46af-9bc8-15ffb9d5c324.png)\n\nsource: [Figure 1: Overview of Tx-LLM](https://arxiv.org/abs/2406.06316) \n\n![image_two.png](attachment:6ea81496-b1d7-4d61-a791-20300d1c2817.png)\n\nsource: [Figure 1: Overview of Tx-LLM](https://arxiv.org/abs/2406.06316) 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SqcFbSX++mk5EkxBiI2SoNjkixj5WWt5Ki9IkzdgyaocBHR2R/r6TdibYoB/bCA0Eg5VaXuxZlsC8tUhiPBW0twrQsqOlVi8fCN27UtCltkHkeE+UOrTHNYTGyRHWbEcfkFBCIsLh7eciihJwY6//sDyTbuoDyVQh0YgUCOjPphQkLAFG/ZnQ+5Zgn1LlmDV9kM4o/NGbLQvlLQmc7pUbP/zdzp3J/YlZkMaEIEQTznM2bvx05crcVoTjfhgLeov30XY/8O72DnyecyR/4W12hGY1M5bOI4rSMC67RchlyVjzSKS3+6TyNOEIjZQK3hLNXVSe1ON8I8Jg7clA7vWHEKJH992qbWMDYmo9Be/l6dg+/rTQAQdizwcX7UEi9dsozZfgLlFGMK9VZBw+UhYtwe57mrkbFmK3xPkiG8XCFvKU77MtUuXYsGGNLi30aAs2wT/aAuOf/0X8gYMQdjpdViybjeNtQwhccFwlwq9gSk/AasW/YE12/cjMcuEFpEh8BZ0xAY/rruw6LfF2HTBHe08q6ATxhfIT9iIpX+uwpZdR5GqJz2JpLGlYi3Ze/HVD0UY9sRQeCUuxQ95PfDExDZwF+pLxPqly/DPlt018lFWIm0X6VKJD8lRI/Z1M45UthC/lyJl+1acRBCCDKk4elGJqAh3lND4b6dVXXZqPRaRju1OKoAmIkrUD6qr+BQ2L1mKlVv2ITH1PDLPncHpNKpT0Fdr76wYkH98LRYtXo3tpKcXlP7wyT+InbmeiA2oQCIvdx/rWFnlsRdrk8yIICHIXcrQfp7ZZOSBssQNWEpjtSFViTYeOmQbSfd9ynHqaA5UUSQPOTXOlIuE9cvx5z+bsetwOvT+kYjk9UDUe+f9roP9HDx8FuXuYYjwd4PUko29X9nrxnbsq1cOycXhGItt4OXDjw9/aBXN6bUnYYkIgvkknVO3f7bjCMWa5fR/D2DgDGDKJKBfD4p0abK3b0nlnAM2nqB904HeYUBFKDCdjgs1AoFDgP50TDrNFT3F0J503tRxgE8ZbSsEJMHApLuA8aOBXhQ5t+wAdOxE27PIIa2wVs5jf1xfKkORT+fTeI2jOntG15QPN2s7BnQlOWYDbSdTm+hcUJm3TaN29yI/sAhIzROK5Z1C9LmV2kTH9etH81kNnE3llyogcgQwoT99pghjEPVnONVz6AxowQZm0B9/fOu2JANqdzjJQkNlj+hTu+1CGcOBYBOMrWgfo8mwX/EuC3PGJsyZeRdmTx6NQVMfwYtzX8SzD03HzS+tQzbpkiXzHzw76Wbc9+yLmDv3OTxxx3hMmLcJeUXH8NNtc7GQ9AvZCzH39umYsykTBqG8aZgyYShGDrkNT3xyBHnGTGyaMx0z52xChhCpmlF8bBGmz/wPfjpGisgVYN+H96Hv2Hvw7Ny5mPvi45g18jY8vfgUqood12M2i2VOX4RjxWZw+Tvw9ozxGHvfM9ROvg83YdidH2JrNn95U4+MTe/SsXdj8ojRmPr4c3TMHDw08W68tDYLnCUdK5+9TTx3Ll584jYMmfAWNuXpkLbuSzw27zk8/uNBFPBNr0spGbCftJg2cgLGTO2Mjf8cRJZ4nUyQ7Z0zMemhxcj2DkWA5QDeHfs4vjleSn3Owtq592DuHhPCyPCXr30OU97egSKFASnfvooFR2hhoIUsa8uXuHPmw3h9fTot2RaUHfoV93ychErJBWx96yHM+j0L3mER8C/biBem/Bd/plZSxbxsHsOcu2bh0QXHUVrnuh1XWYi0tPNkssuQnZGKVFqEKoVjcrHr9dfxTboakYEWJHxzH2Z/cwyVvLHI3oK37nwCv1/QUHt9ULbhFUx55i+kGu0Lp+PKcnGhkCZ+eTYyUtNwsawS+bs+xp23f48k+CMqQIet/52M6Z8cQFmddtkjjOedD+FbMliBUX7Qb52H/tO/xOEyMiUpv+G+BUfBX1zlsrbi/Ttvxc2vb0A6X17ZEfx8zw84SR3idezWn47Rcdbxv3PmdDy0kOQV5Q/L/g8w9u4fcJzvuDEFfzx5L95LlFDfvFG49m3MfHl1nb7xmKx9Gfs5jssDhL5se+k2TH3gfjudfBebMmyX1K16bm2Daxly2eswd9Jr2INgRAeUYO3j9+NtctgqCjORdp50QZDnObIXNBr8nLjVqvfgcrDr7Ydw+7cJZGjCEKDfhv/2vw+fHC6iGhvody1KcfybhzB4/l5wVE4gdxDvjXgGvyXbDBDpxqvP4q19lQiICoD8+OcYe+fH2CVc2RHl4nCMrW0Q5GMtCCQUsf1GVDrqn3iYFTJm458FZpHB7NAeaNcTmDmKvAhxN2+Qe5BxGXkn8MJD9LkLGVAyUvy2oYNIJqKrGUjbh5Ih6hFHX8jg3foMMJEMWzgZxtjuwBA6vnsbwIuMXzVU9m3/qTkuigzqrDlkXGm7T0cqbyrtI6PKI6fyJ1Mb+4QDFJhY23Qv8PQtdF4UtZvqmPkknRtCO/k+PQ/cN5GMZwSVTQbUdiy/oseSkRwyHnhyLjCGDGz7VnTc7cDDVB9/fAh9H0DlDyQnINgTqPQDBpNTMGOKaBFo2wj6PISMsbFpbtYwarhio2tFh3T/27EoJRcFaavxSk8lUhZuwpECPXIPb8LPKUr0fOEv8swpclj9I+b10kLnOwrvJa/A85F0euTzWHHmHLbN7kDevBVdbkvc/MUCLHxvGCIcONU1cDAkLsGL89aS9/geNqekI/3oQjzaKgW/PvsDtkiHu6zHig6JSz7Gm9tkGPfuBpw6exJ7vpgF5bb38dS3B8m02NDBf/rPSMnPQ9rqeeiJI1i4JgEFuUfxz8/HyHOdixWJfP1rsXheT7jppIi9eR5WL16OdS8OBal2HUzI27UKP0YNx4DWPgjrNRTDVy/H5rN295h1rXD3/Pl4auZUmnMv4YWb0/DrzjSYLYVI3a9DfJ9hGD3uNjz7wdeY39cXFmkouo72x4o9yaigBfXwhpMYOqUdjq47Qsa8BAnbd8B/XBcE02L+n5U98NkXL2LW1Jsw86n5eG/GGbzx62Gxv/ko6j8P//z+IV6a1oEixxqkYYMwe8YAipQ7YPzsx/HkA4MQJmiSEoF3z8OHT92GyTMexktPjMCRX3cjxVyKw7+8h5V9X8cXL92DqZNuw1Mfvo4Zh7/Fr/vJaapGCvcO4zB9AEUdbcdj9pMPY2rLdPz60p+IeO19vPXwTEye+TQ++/px4I2v8U+as/u9pTj66wf4MuJZfPbWo5gxmer77FPMw/d4558LCOvaD61X7MOJCgNyDu/AjqFTMOnoDhzM0qMiYSeW+PdFt1ha2OqgIx2f/9HTmEnlPfn6HNx8ZC12plTCnLINP2wcjDkvzKa+3Y6nn5yOaGNL9B3ZAb72UW7lMaEv4R99jvcfob7MeBwfff8M2mfwHmFDuJahJS8N+wtao8/wURg38xl88Ovz6NvCDWGDbsOMank+gQcGhdtNeg6VR3/HS1+G47XP/oeHZ5COPfUevp4nwxvvrEWa+GZYZ/2uhaUERbJB+OjdeXiEypnx8JO4b9hh/LqNdFU4QAf9uJfxlTAeM/HI+5/jo/A/8fKSEzCIcnE8xq6et1A20D9CM4AMT2uaaunABw8D95JxWknRpSPStwBfvgH8tEvc4AwyvF0oKi7aDjxFhvqDDSRKMvUpa4DtmeIxPAFADM16jqLTZR8C//sM2HyAttOCtn4ntYlWoW4UUbspyAAOI4NNuxKozGLbK3nJIdlB55FDh+8O0ndvMsada/pUut/qKDz1HMA74rFkSHu1sJ7Ko6dIfuHHJMcfqb1k3OW5wKck1znvUQBC0bwhGfiZ2n6G/nhn258MfzdfqobK70L/liYBe3gPgNGUNJHRJXs2Zjj6B2uh9o9F65akHDojDCYZAvtNw6vj/LF//hS0D+uDu7/dhzzPQPgr1PAK8IUH3wKpB3wDA+GrrTGFPnc9iqdn3YRJo+ssXPUwo/DcSexFGIZMGYmewX7wi5uEt4/kQpc5HyN8NS7rsVKEc0f4idgHU8Z2R3hQBDqOGoUxtFCcWXMMadUudluMGdkDwW4a+LduhZa0RVdpgCmwN+56dTKi97+BSe0j0e7u77A/T4MQfxUk7i0xaMIIdAlSWYuwh7uI3Su2IqQvRWJJR3E0T00O7WH8sv4Mxag2IhAdLN7XlHghiCKpUgNF5rLWuGn+dBS9MQiBncfh/o9306SLRAuJBq37DITPqoM4nXMKu7b2wKz/3o9Je/Yj8cI5HNsqxbgeEai6mIGkpP9hJHm6Wq2W/kIw5NVtOJORT73mCUCnDpHwdCn7unhTkBDI++GEHD5BIfAuJflwZbiYTPXNH4lgd74u+vMfileTziMj3+5SnCNKspC0Px6DOgWKlwwlUMR1xbCARBw5WyJsqU8pMpKy0W9QewRVX2eMRLdhgdh5JA2VrXthgs8+HDidgcRdyRg/62ncPSkNO8hhSjl2mJy37mhtu5ZuT8tIGnuxFT5BiPauIh3nIAuKQhekIPFkHqpMJTh3KgXFoT7w4C/d2iP2ZXD30GqnTxLcDWPGUGTVIK5lKGs7CfOfKMIbXeLQefRD+HinCbEUDbsePjNKMlKwv18vdAqyPdegQVy3ngjYmYCzJaLiO+l3LaQh6DYwCCffnoAAvm3u7TBraQouluvFyDMaQ/u2If0UvpB6hKL74HjsPZKKQpdjfIUPe4VSlKimUs/tAJL4qI1cyrV7+K7XgXRp3SLgIDnPFCy4hgwc6TU05MmPpOi0H60EEjKQ5IzXhgzwxkNUVyBFuK8Dr94FhNHI805W7lYysNQ3T4p4B3ajpYfKICfZapRtUAS/P4H+JQnmi3IIIAfD1idPitrf/40M8kdAR/7+PLnGsRQpC5DhTqJAZBM5EOlUXxHvStP+nmOozRR5e5LhL6H2Co9kpFG9ZGBBhpaP7vtRpKwmAR0iJ6TeFQ3GldJkRleqVNRcsbHD7NYOt3/wB/ZuWYWFX9yFqISv8MSM+VjpNEqx4h1ChlL8XI3FCKOZVwITyov5y6dW5FS3lgxnek4JhJda8vfltq3CipU7kFzemEQOMih5bxO5yCmytourquCnFhBOi2e1lOg4hYNemt3R5va3sHzvFqxe+BkeizqND554FC+sTCXV52A2kZEUD7WHy9qHv/5RIvzienz9xRf44ssVOOPWAgl/7sJpQwPKbjJB0eYe/Lj3OI4tnIspvofx3NQPsZ28ZGXr7hhXtAebF6/Gij490T6uE4aMTsT631ZibVo/DOzgbZXZ0HexJeUszp6t+Tv33ijQEtHE8PL1xNB3NyLFrq6zZzfjvVH85TIXyJVw05aTc2O3ShoqUGb0gJ+n/aU8e/j6aMnS6fmlR8SAijI9PP08oVFGo8c4PTZvXoFNK6IwoH0bdB7SHmvXL8XqtcW4ZWAb/gJi4/HuiHH3FGDuiFj4eoWg/5cqvPvJNLSpqypCX4pp/bN79aqlAsU5daLGajiYjDb3y5UMg2HSq9Hm/q+x9+xuLPzvRPge/h+mvr1DuITuHIlVDwp1qKwWFEfi1cHo6QNP4b5yIynbiw9nvou8cZ/gsNCunfhiCn95yYYRpRU2A8yjR1FOLnx8tFC5HOP6Vxw4Ezn04ucGsb3m1pMMis3ge3nWfK6GIuoSF2uSl/21Hoqa96QAKnKWbpkFDIkFzq4ClvOGyx5SgPPrgU/IKP5J+0+Tg9mKItt7JtE+cgDWU/TKkaaNvY98EupnKkW/Z+ydUJKH0cH6ZetTPp3/20/Wv5WrgS0Uae9Lte7jJV0urGAEHb+LHI0qqmPArdTmobSNj3L/FA4T/rePot08ssBxE8koU39MFCWvT+R3MpqYJjO6jtEjc+Vz6Nh6HJ5bV4igDr3Rt3MwhYdl0FWRMklUcA/2IVu3Hj++/xG+3pZpt0jaIdXCJyaIdP0vfPvl71ix8GP87wNSZgE5fLuPxj2tyHH88VN8tHAZln73Bh6ddgtmf3cKRv4hkwbrCUDvm6egFfbhx4++wMLlv+LdVz7GPxTL3jKtNyLqTdDaWDJX4pGObdD3ufUoDmqP/n3j4UMmu0BXgaJ9H2FCSHdM/+44ai+teqTtXIuNw5/ER99+i2+r/+bh7rQVWHPUNmGckL8RL3a4E58fkyKqY1+MGNkTESkFKOZ/w6Npg4G3ZOHluSvRekhHhEr90H5AFH579T0cvrk/Onoq4Nt5IG46sRXbaG75BQXCT52JZY/fhOc2NOZSJw2Jhw9iKDrIu3gROQ3+XMMPnYf1xIk1e3BO1gJBQb5QX1iOx7vPwwZ+orvCtz2G3ZSOXxZtQyavM6YCHF/4I74OHI3B7ewXQnv4+nrj5C9/YENmBbXNiOLjf+Gbr91x1+A4qOCFDgP7IOnll/EJRb2dQzXwa98TfX57A/873AuDhKihsRiRvfYDPP6VB57mb4cs/Av//EBOUBuv+uu60JdMfPvrFmtfuApkrl+E7zeJMhf0PAvrt59EOUcGt/goVi7Zbt3nUoZ6UofX0GHyVzimikTHfsMwslcEUrJLyJTI4OHjJ0Q1F7NzUcLXW43Mqgcnl2LRhjRUiXUu/GYFAu8aiHaqBhTfHn0p8s7LyVkOQyjfttwj2LyVjFM1Wfjny1+xThyPkjMbsOjnEkwd0gbeLsfYW2h/6vpdSCgnI0T7jqxcDjIvIq76R2QcBi6SMQ0aADx4JzCMjM6DIxpY+eh4ctgAf2DcLdZzJlBEasOPotsp8eQYUKR4hAzl5j/IgJFRrf79nIi0PfDof4HHb6byTgEHzgoBKGTiVYUz1Av+nrc77wSQe7SZot/GYOuTdwTplBJQ0No4cCQZ1DYAOTb1oePunUzRK+07S+dupXp5Q51st8ZYKMLfQoZYQk6AO417wmZaL+2cQ0aTcZWNrgpRE57Ex/dF4OBbd2DogMl4dqkbpr43B1PbkNcla4XJ8+ZgXMBBfP/aXHx6JN+J0Y3FpJeewrjoFCycey9mPrkXUWQkw8TdEv+heGnhJ7jPaztenX0HZj35GQ53fQpfvDMDHfjLYg3WI4PPwCew8Ls74LXmNcy+7QG8ulSPcfM+xvzJUQ0KSRo1Fq98/CDaHJyPmUMHY/yzf8N36st4e2orGAtzcJ6Mb1m5vvYVLeNZbFp4HMPHd0eY3domadEFY2dWYOnWU3B54TVoOOZ83gb/TImGl9Yd3t0/g9ubt2FQIH/h0hsdBw0kw98HN/eLoPYrEdZ9AIaQEzGuX2v+zhAkwaMx74feOPBAR+F8r9Db8U/H1/HW5Mj6xsIB0sj+uHf2BbzYvw1iGvy5hgLB457FDwMP4YEoH2i13ggdvQ4df52LyeGOruPaIQmjcXgLE069gDa+HtB6RWD4L1549+v70MPd2chY6/ttwhnMaeMPd76+4Yvg/e58PNyDnC+SiGfH/rjZJwjDbu6DGN4vC+uCUUPCoB3XC+29HV2zcYYCge27owtScWDDavzzxwe4p1MPjHzyDyTXXYSFvryDman/tfbFPQpjfriI1v1p0eSRxmDccxQ58bcM3GlMWr2BzFY9Yd3rSoYaBI16GJ93XIcpYd60zx/dP5Lizdn9EUhzMHLgVMzOno/+sUMxZ13te3SCHvw2Eqfm9IQvX2foVPzi/TS+frh7rfv4DeLbG3e/GoNlYyMFebd6dBc8BpEnXE0n3D3ChB/GRAn7Q7q8g5y73sDzI0IhcTnGGsSOux8v4lP0D/SkfX3xUmYYJooi49cYV/2D5TjwCxnEUjXQfTwwkwygtoiMk8OVRqQE+JsME2+TOvDnTCFjTxpuO6Uwi4wofVGSUe7SHxhKRvm1D4DJdoaZhzdkf+2mgDUUuPMZinDJ8Bvp3FUUVQrQ5+0nrB/zKGrd18iHloQ+/Q2U0UwePZMi19FkKMloL/uZImtHRpfKzeFvGpEMYrsCg8cAs98AXqBz+cvUAtSf7dus/eLICVy/V9zOaGouI+EBecO6QuSXmeHm7QcveSUK8ssBD1/xXqkFVSX5FHGp4B3gZR1TrgrF/FOuhWZ4BEchKsi91oNMwo/bi6sg58tQ6euUZ4PKLUhDckYF3CJaItbLjMJ8HeR8G9TWxZerysfZ5EyUyX0RHR0Gb3G7jVr1aEm/CgpQZlLXtLO6jjLI/aMRF+YpttPWZ2qWXwto+Xt1wsshilGl9kaAl5oMFZ1bnIXU1AKYPIIRExVodxy101c8z4az7WJdBSYtArTUxwITtNXt4/cV0ZLgWSNrh+0lTDoU2J/rsD4qr/wCkpNzqc3hiIv1E+sxkWyKYNL6VsvWIbVkIEdF3XP4NtD65UXCtrbLhPKsFCRTdOvBj6EvL7e62PVfkKuIqRRZyanIM3kgIi4KvvZ1CP2kvlfUPc9VfXX7yOttAXRyn2q94/UlT6+Cv5cK5npt4s+nVZm+Z/x0N8Ynz8aBt4YL9yy50m14pcd8tFj8J57sQopWl1p9kWPnY2MxN34Bjj7ZheTkQM91MrRoTJ9oPArOpiCjTA7/uJYIc6/WBqEvucV6qPn5ojJQYKiHyt9OrxzqgaOxsPWbDH8tveWxtY1ixLhYBEnKRF3l5xp/jhdkJemO9ZXH2RgT1rmdhUq3MGqfN8yFOsha2Npfp39251UnPFCFAF070IeLwGGKOltE0WcypBepXb7R5KdSVHcuk+9yDR78A1Ox1HiKUA+TgYygiLE8AwifDTzWlyLXz4GvyFhGDQOeuJ2cpv3AM2R861688aC62rcmv4kM4xGKNKtvL1BUefubwBByBFeSEVxxRtxOnarbJokXEEPGu+I8tVl8lkEVSE4B9UlD7nnSEaBAvJamCqC2kkHOTrXWJae2vvMYlXGADO1H5HRQRDzjceob1fPlf4CDYnmt7gf+M5wi6WXA/xZXy4IlPGhaWJYhBuOK0CN10SMY8Fdn/P72TeAfeq5M/xvzZh7A6I2fY0a0gwfoapGFFbNH2xldRlNyVbIMxT8MPD2IjBpFnPtPUiXxFD22pyjzL4p4yVg1Fs1I4N176UMiMJeMbvVTy02MtAfw9tMUDeda7+0W8b9bpvZ7kyPx2svUbv4OORnqJ8kB6ECG+DfatpmMuwgzuk1LjUvIYDAuA/4WyrP4svsRPNcrDrGxcWh/7zbEffQsJkQ1ZHB5+AekNPBUymoiVsb1TdKvwF9HAR+KMidOB4a3paCZotxFq8UDGgMtvQP6AWoytAfWXj2Dy2OhaPxbil5LKPodchNw0wgy+BTlL1sgGlzCpw/QxhMoPARsrTG4jKaHRboMRlNR95I+44ZHIrHemuB/pvuvQCIRIi3Lv6bBNx7M6DIYDAaD0Uywy8sMBoPBYDQTzOgyGAwGg9FMMKPLYDAYDEYzwYwug8FgMBjNBDO6DAaDwWA0E8zoMhgMBoPRTDCjy2AwGAxGM8GMLoPBYDAYzQQzugwGg8FgNBPM6DIYDAaD0Uwwo8tgMBgMRjPBjC6DwWAwGM0EM7oMBoPBYDQTzOgyGAwGg9FMMKPLYDAYDEYzwYwug8FgMBjNBDO6DAaDwWA0ExKdTseJnxkiz/9eIX5iMBgMBqOGt27ViJ8uDxbpMhgMBoPRTDCjy2AwGAxGM3GFRteCqpJcZGdnI7tAB5O49cZBgoAWMkT7yuAjEzf9i/EJUKJ3sBRK8fvVRqKRo1ecEp28JcL35q6/MTRVm+r2lXH1cfdWoHcjZd5U4yOUEyNHwGWuB9duDkgQGqZE/5YKhMrFTc0M3/drWf/lI0WraBX6h8mgErdcCZdpdDmYsvfhl//OQPeQaMTGxiI2oiOGPvAVdmXrxWOuFAMKUo7jSGIWmuSus6kAKUeOIDGrnFrfMCo/Nzx+awu8NMkHT030waszvHF7pJRU91+KpxvuG+2JmaM8MNJT3HaVUYS6YXp/D0yOoxXqGtTfIE3Yplp9ZVx13MO1eHqiF2Y2UuZNMz4yjBrqhdsGeeGeDg2XoyKnoJaRuWZzQIrOfb3wzAhP3DJAi75e12IVkyK+o/s1rP8KkCkwYqAHbumlQoi46Uq4LKPLlR3E57PvxEMfHIT3lMfxyhuv4bmZUTj16zOYcs8X2FdsFo+8ArhMrJ87Df2nL8WZpiguaz3m9u+P6UuT0WBxEjkmDtSgpZsFKcfL8fdxPQqkcvQc5I5hWvGYfxulemw5UYWk01U4UiZua06udf2OuB7bxGgEUrSPU8FPRvPzWDmWJzfBAtEozNifUImk9CrsTLOI25whQWSbOkbmWumbjKLzWDnkegM279Rhdwl7dvZaIps7d+488XMj0SNt2Wu48+OT6Pj8z/jr/Xsxom9fDJowGl1Kt+KXP/aiotN4TGrnDYmpCCk7VmLx8o3YdfgsitVBiArU0pQxoSBhCzbsz4bcswT7lizBqu2HcEbnjdhoXyj1adi1aiX++mk5EkxBiI2SoNjki9hATe0y951EnioQkUEa6E5tx7rdCUir9EJUsDvVoUParo3YdiQZ2dkZOLb1b/y0OQGmoFhEcTqY/MPhW7oXP325Eqc10YgP1lZHsRtPAkN60KQ2GfDPhgrsvGBEnkQKDzOHgjIOMa3V6OoNZORZKB4nJDL07uKGPmHUszwgrpMbumlIsYPdMLWTGr3C5VCXm5BRKRRPUpeheycNJrRXo3eUEqESM1KLOJjFcrp7cKjwUGFyNzWCdUak6KRo116Dmzpaj2/pJ0fbUAVCOAvUEW4YHEled4EJecLaI0FojBtGk4cdYDIjTSfUSJuliAiUQWmyIDPbjDKSUHWZMUpE0oJylm+DeLg9PsFqTOnmhkG00HUNkqKSr8so7rRHTu3vrMW4eJXQZwX1py3VWZWrx7aLsKvfAk++jVEySBRKTOzphr5RCvhWmZGlUuLmnhoMprpakwwzcy2oEgqXICjSDTdTO/rHqkDqhULqcCmtfVJvKqODEi3MErTppMWY1ip09CedyTGjWFgbnfS1nkwApacSY6j+Ea2or6EyKMqoTXwDxLFxNq4yXxVGRIh9vcBX6ry9TtvDn6VRYHQPLUZRH3pQ+fJSk7V+O6r7S+V076rBMJusCqXo0UOD8W0djJMznRN2UnvaaTCR+tQ3pq7cncnOKo/eLWrmgTvpycS2CnhWmHFBbW2jvwkIiHPDhLYylGXQvJe6akdtnI0FX8/oVkr4qQBduQVmGr9kKqOWKXGliy7Gp0yrxPhO9F3LIbWQyqYjrfJWIU5hQQHJ0U/GobjQOi78eA3vpsHoNir0FHX4bLlEkOewGAW1UQKpjOakrwQluRx8Amrrm/NxEedxFK0pHOlELzcMjFUihnc0xHbVxpm+0fjFu6FXmBwaswVFFRyM5aJO2+Fsjjc8t+rgoj8RMWrEe3G4QGtkp858fxqpa8K+hud/ja4pEeGjQIcQ6gcdI7RT1Nc+gRLkU9uNzua5gAThJPspdHx/knmkVAKvcAVaGIzYe9KI7u0V4nGXx2UY3Tzs/fY9/HakC57/6FH0DxQbINEiou8UzH7wDoyJD4JGkYddb83GyAc/wKrNm7F5w99YsugkJD0GCAts8qInMO7hn7Du7x/xzaK/sXnzeqxatA8lXUdilM8R/G/QI1hYTuWWJ2DzsqU4ED0VD/SSYo99mZtWY+kP23Gx9RBM6qXE7tcewN3vpKLllCGIzvwNj457HEsVQzAhcAOmPP4LrMVtxrI/sxB983gE7P4fJj77KTZJ+uOeMXGwPQi+McGEwEgVYj3kiKUJGyC34Ax5p5uSDThXLkW33u4YGCOHMkuPExUkxBANHuivQaTBgNWpUowe4Y4e0Wr05BVdKUNIgBLxZBiLUwzIMsswYpQXbolTwlspgdZLida00LU0GrC/gCJs/txwWihI6UK9pbDQIlEQ5YEHu6rQgo5XeSgQF6JEmAdQlmtAqpcGt9CCEC0xYgctJpxUgUkjPNDXn0PCUT1onbMiU9J2d3QNBC4kGKHu7oX7u4hluivQmhQ5lDzxQ6Tk9qhDtHh6hBatfaSQK2QIDSYljZAg55wRtG7UQErN92sqb+y95PAjpY+nRY6/lFLJL3TZ8lr1+3T1wFhyXrpTP1uoaSHzpTZEq9AnVo2WXlKSiwJRYTQGZgP25ALh8R54vL8bIrVSSNU0LmFqdAm04PRZEyrDNZjd3Q0d49RoTeeqqT8RQbQ4eJtxINWCyB5O+lrKy8rWJhobbzXpjAe6B1D7qQ8BLZToEC2HKYvG3WA91tm4XvSyN7qci/aaEeSsPSUyTBvvheG0CKhpovsEqNAlWtQbuwcmFLb+tqRxd6+RVY9WVEeIHFo3alugCp0DOBxLNqFcHBuHOkcLYLveXrivswqBagkUWmprhAodNGYcyrQgqgHZdfOy4DgtRMW8kWjrjuntlVAW6HFU6ya0sV1Lvk2kE54c0hLNaD3SWTtqG02pj/Ox0IVrMYl3NKlOrxYKhJHub041o9oGNKSLrsbnlAXtB9D8CaPF+RTJ3SJBxx6euLmNAlUZehhj3DE2TiH08UCpHDPGeWI46YNWTm3xVaIdGVpfMsgeHbXoIUS41jZG+pFzcpJDt+E1+paBmnER2uktR3RUzbh07GadIz35/SopfGiOREfQulBvnpKRsPWHyuDlFUL6b9U3Dh36aRHvRm0hRySY5CklGdif72qOF9Da5nxumSkEs8NOzxz1J1wwuqSbYUqE+1jbGRpKuuZhRkKGBeHOdK2ocfO/RteAokoFepPx9Sy29lUWpsXD/dwQZtBjQ7ECDwq6xc8zKQKov51t87zKKstH6FibLCMjyODyQ6lvGqN7GZeXzTBU8u5zIPxJmWuQQK71RVBQIHy1MhgSl+HlN9cD497D5lMpOL3nS8xUrsf8p37GPvIqrOjgP/1npOTnIW31PPTEESxck4CCwFF4L3kFno+kQyKfx4oz57BtdntYxDI97vsVJwtKUZK1Hq/0zMCCN5Zgv7EtZr39MqZhAZ54+hk8//z7WBV8F16bOwX9JryO5BXPk+fEF7cCZ87+htkdWiD25nlYvXg51r04FDQn7DBh1cZSbM40Q0ERTJ+eXnhuug8ejpdDxZmoP0aYJHJ0Iq9eTSLs004FT5JL0mkDSsUSQMftWV2IFxcX4Zdz1F+1Al3DpXCLJu+KPMnSc6V4jfbNXVqKpCopYsjz62q7TSTlkJFUhu9XlWDhOTLypBDy8kp8Q8e/sqYSOTRfjBcrsZjKPXeiCmnkhfqRQneUA55ktMjRRCktEAfreLM1UH20CMmpjYn7S/HOilKsTqhCNo1hbYWQICZUDonOgM1ri/DykmL8RnXKPckpCK19pK1fpoIKfL4wH48vKMZqimhdwyEnsRhzFxbiq5MmcDIpNGU6vLeoEC+vrUQ+RxMgWolAhQJjOyuhqajCL0sLMY/ksDDdAk2QBiNpcbDBlVbi88W8zEtxjPquDVeiI5XZuL5K0bOLBjEqiiT2FWHOjwV4c58Beoq8R/dUwks8ytm41sJle2XO2+MmR5SnhPqhx98bS/DOpnJsTyG5kDF0hKWoAh9Tf22ycleTbq4oxHO/l2JPKQe5vxLdaQFyqXNyOdrxkUu2Dl8u4ce4jGRH+kQLXvtGy845Mlpwd+wswWcrdEiIcNGOWgW6HovSw6VYQg4BP093rCzAnM0G2F94aVAXXY1PmBm7U8nDUSrQiR9XqRxdwmhiVhlwKKO2QyrzJwPER3LHSkhuNDe3VkEnk6NznASr/iqq1cbHF5Rhr72TStjaqb9Qjjd/ycecP8uRYiB5dNVioFo8iOZI/skSzKVxfmkzlU+yaUOGvdaDWLb+kNO/8k+q65cirCQHnO/PlFYWLF9ZjtN8U0or8OGPhfj6nP28bNwcdzy3xJ0ijesPUJFZJux/gvT0EC2Yfi01GEV65lTXGjn/a3StDIvJYSoiWcVGyeFGZbSPVkBLazTv9HYQdMuMY5t5HSzEa9v00JFujeioIKdDrMtsxHaa50+Q7r13kHRPrKMpaOzccUAhisvt3O9amFF47iT2IgxDpoxEz/BghHUcivFjooEz+3EszWYN2mLMyB4IdtPAv3UrtKQtukoDGTQ1vAJ84cG3TuoB30DekEvEMoHs725HW19PeIWNxKv7yQ06cwIpOUYooifjfx/dC+X6Bfhxmw9mv/UkJoarIVF7IcDXQ+is1MMXgUG+gmcqcW+JQRNGoAt5bnXhKoxYvpEMwu/FWHi4ChdMMrTp6SE8TFVwpooWCzJwUWr0Jg+8R4gUXIke27PsJqXOiEO8daRJU1DB/0sLmbcMQb7kXdE3zxhPvH63Hz6e4Yl4foOSvEJv+peHJvjmg3ocyzWjyMyB1lZAJUe3NioMaimHp4RDSZl4iYkmy450+qRRYmCsAj1bKgXH4Bh5ZE5tLp25P0GPfIscXQf54M0pHujiK0FBkaUmWhDgcDKpAsdKpOgxwhef3N0Cd8ZYZxo5zXZIxH5RNHO6Cqd5DTWRAUgxWtvoFAvOUdv1dF5qAR+pUF8vGpFBJ+nzTSggsUkUErh5yhHErzIaNe6c4Se0YyaNA19vmN1jpMXn9TjDq6TJglIDnSwlz97b0si+Ssn7pglsMeF4CjmW1JZs6gh/607hLkML8SjH41pnGrlsL5y3h8ZyC3nuZk81ZkxpgRf6qREis+B8OV9PfUqyyTOn/tpkhTIjjhXSB5MZmfx9OwnJjuTnUue8TNh0tAr5Cjfcfwe19Q5PdOL3UXPljdYT5+gyK7Es2YgzxRxauGoHL/tqGjkWDmmELrocHylSUo3Cgt2KIlqfEBUo2ERpuh5H6ix35otVWEfRnirOC+9Sf94ZqqaFnRZ/Ka0t1kNcUNPOzDSDcNXIUGrA4RzqpFwK/+pnRyxIpkHmu1FVbr0MK6NoMVTYJyL2x5yvF5wtmM3YTlEqf0nXx7OObtajcXPc8dyy72Vj+2NGYqJ1P7/GbucnO0X8YQGcc11r5Pyv0TWSU64Bp2jeqEPV6KVRWB2nCgP2ZpIjL+iaDJ2GtsDHNG6vD1IJ46b2kyPcJsucKqyhtvPXXzJOWHWvqWhoRBzgh/j+nenfPfh9VSKq1wOuALteHwWttjVuXXQOUvIUtaS66TklVi+U06OilP/kCx8P2+N8MnIo7UbWJRRJC2X6oOfzv2H7zp3YuXMzVi9djIV/PoNRUWQ4TXlIPJBAtfJk4fChs3D9zAAHMy1QdQ+R+LrhqZt98GJfJWQVJuw9psPvybzGSYVJCZMRW/gIRK7AyJEaRMlogp/S45x9QRaulvdtg6ojaME+p8OSnWXC3+pjFdhxrBIHS4RDSFtJsasHmRa+FPK0yAPr08cDN7VXgsuuwKLjVL+w34LDSaSsHHl1XT0wNFACEynM5nxXHadoqqQSC9eVYME+HfaRV+wd4oZpA9QIEo+wIsOwQZ4YSh5/2bly/LGzHHvyHJXLif0CPLQ1T3h7qht62rvmPJeQLHjpc6VV+EeU2bKDOuxIrMAmPtoU4GChjw5b16i+AkZe5mSoKHi1QhGmhu+AWL+Ak3Gthcv20kR21h6aChdPlOOrDaVYeaQSKXopWrZ1x23tHc0R5/2ti0udM6kwa4gWbTzNOLqf9u2qRGZ1ZxurJ1Y860XkHKqqbPfkbGPtTPdr96RRY+GQRuiiy/Eh5y+HDGwRB0WAGje15tccE5J4Z8h6djW+7dxxZycVfCur8DeV8Sc5ug3qRjU17VQpbS3jr1ZYPwv9F2jEHBH7Izio1i3V/W3w3EbN8cboWmP7I4Gnu20/RcfUZh69gUpwpmsNjJcVe10jKPDYRVEtJ5ejcw81OU7k0KcbcJLKEtrCUaTL6ztf3u5ybKayNh83gKoV6pK6ychSidh0r4m4DKOrRuykRzBvkBzbXpyNWc99iJ//WIhvX3kCD8/fCbScgruGRMO/9wQ82ApI+PFTfLRwKRa++zre+icLPreMQf+IRvzaSaKCe7APkLseP77/Eb7edgE+XYZhZksD9q/bgn0ZF3Hx+D94e9Z0PPL7WRilemSu+hTPf3YBQ9/4Hcte6YVT81/GW5suCsoiUbsjmP7NXfsj3v/oJ2zLqkDxvo8wIaQ7pn93HLZnnHg4nQUGNUWlLbW4s7Ma/ePUGBTKL3zkcRcII4ZzCZU4ayKlciPlrtJjR6MeseZwPoP38iTwIq+qBUlf7q5E344a9AmWotJRERoV7uihgspoRuq5SuxIoImxqwr8FTAblvwqbL9ooT5K4S4xI+mEAQXiPodI5Bg9whuPj9Kild6EA+QV8w6yRCZB7bsV/KSxfqooM6PQTB6pk9852voV2EaLWSSzAfFa3NVBcTkKVp9iA5JoEZRoFYjWUv3kZce31WBAWyXcja6Xgsb31Yzj6SaYJAoMHqzFCBrzGYM1CJfQmNNkPS8e1Shctdckc9oepR9FmxO98WBXBXS08B/KtUaUfOR0JbjUOakUGl61yZnIp6jC7MM/w2A9z6XsOAt/kYUsmwojO6povDUYI9xndY7Ldtjp85WORYO62KA+mbAvzQQLOdWdImRkDAzYl1tfzzQ033hRmfUWXNQBQX4yO50iIyBYYHKG22swtZ0C7sL2GmztDO/gjhnxKozo7Y7B/uQ0FxlwvFg8qDGI/ZH6a3BXb7v+mslZECJJVzR+jjdE4/ojRetu7phG+wd3pn9bks4YjTiexT8L40TXLmv+U8R9Vo+LFIzExCihJSObSIESf33QqlsUQAXy4ydBi3A3DGnvhpZkmA22unzUmDnADYOrdU8stgm4rDVR4t0bT/3wHd6cqsLaz1/Cw3fNxpPvr4d59H+wYPELGB2koEYPwH8WfoL7vLbj1dmzMPvVVTCP+x9+mz8BdW+BOUTWCpPnzcG4gIP4/rW5+PRIPrigYXj+i5cxtWwRnp05DdMe/hoZg/kyx8Ln1GK89MjnuDjuObzz4DiMfOh5zB16AZ8+8yFWZlZB1mYC5r06GQE7vsdrcxfjSJ4BVYU5OK+rQFm5vrYXS0Z00c5K4ZJyfBd33NJfi65k/3NOk8Gz3Q+hGbVbUGharFKqcLjWouEcS34lFh/So0yrwvC+FLl2JudCp8ffu6uQ7Uh/yBLnkgcHhQzRMW4YQAo9i6LwJzvI7X6obcHeUwbwDyrzl7m3ZIhtdAZnxLr9VcixyNFroBceHeKGQJMJ+w9XIUs8xApF+WTAyywUcXX3wgOD1FCTQ+KodKFfR+hYisi7ksym9VRDW2qq5cxcNuS1rtmpw6lKqXU8+mrIc7Xg1P5yrK++ie4EOrdxfSVH6kg5/kozQxnghgn93dEnQIKiTB0WH+cn6yXgqr0lzmWfmVOJv09TROXrhhmjvXFHazmMRVVYd6qRyuUElzpXpMeuTDPMKiXGjvLCjDgpSmw/jHelJxYj1h6mMjmaI908aLxVMBXaPczkAJftEI+xcmVj0aAuNkKfLibrcV4QA4fcNANSHczNLJr3pyo4aEK0uH+UB7orLXZX1jgkJFUiVS9FCM3bgW0V8Bf32ODb+fOeKhSQce/T0wMT6BglrUVraO2pddWsIag/K7eWI7FUgoi2fH/dECE349QhHda4vOLF0/g53hCN648FhSY5BtD+m7qo4GshfdpRjm06F7p2mfOfd5aOiv3nyJjuEz6Tbh0nuWRa4BWpxU2kW8PJIBWTbv2eSJGxUFcFUiokCKGgi9/fQ23GxSa8qXtlCQ+4KhRnpCK1sApyj2DERAUK90rt4arycTY5E2XyAMTFhcBd2M/BpCtEfhk5yn4trOdQWSW5xahSeyPAS03+hxWuqgS5xXz5vvDV8n4lf24O0s5dtCuTVEcozwRFreP4bWa4efvBi7xSfsCrSvJRXCmz1ivTU506yH3FNohUJzyQSdEqjDx/cl8Lco04Ra5XtbAoCpg2xQsD3E1YvbwEa6sHXwIfbym8zBakl1mPlyiliPSQCJ5krvAbI0BJ4UXbIDncDCacvsjfu+W31j9XRhP61VFukKSU4LUdJmh8lLhppAc6Savw/e/lOCbMDglienjhifYyZB4sxvsJ9S+Z28r2pj3ni60/8ZAoZWgTLIOvjENqlhHnxbbVxd1Tjjb8ZXVauI5TCO1PnnBFsa3NtVFq5OgYIh5L0YE3H9KU8/2uXT8fXoWSZ5lXaBGeKudlHUrlGqtlVF8W/DHRwXKEKqmMbBNShXuq1u21z6U2e8jgr6gp33Ff68tE2OYrR+sWElQWmnCywG57nfbUGldz/TY4bS/hSvZWecsgrzIhMctslY89jZAVr1+15Ctuq69zPBIEkaPckkKx3AtGpJEvLrS5EXrCvxWqPUUzFXlGJJTRQmXTDb6MuvIQcd6OujgbC8f9q4tzXRQPcDE+Npl6UyBWbKfrQr1uNduqZUNrywkaK85DCo3BgvN1dFNB29JpvfOup2/O5VG/j/wb8qh8o92csMdpf+rrR12cznEH41h3btXFZX8EveLgH0ZRK32uq08u1yRn/as3H2qwjZeh0m5MBJzrlgCVKaz9wriaYKBy/OgzL7/5V5jwgGUZckBjsgy5xXjg1UEqSDLL8L+N+pqnlpsYaaAWr4x1g7ZYj30pRhQpFegXr4JXoQ7v/FNpjRAUSjxwiyfioceSP8uw0/kTVAwGg8G4AliWoWuCFL3i+J8LmXA4we5nQlcBS04Fft5PRl2rwoDu7pjYUQk3ivz/3lNzSc4rRo1W5P0Vna3CbmZwGQwG47qFRbr/IiQS3keygGMjxmAwGP9KWKT7L4LjmMFlMBiMfzOXHOk25n4ng8FgMBg3Eld6L9cGi3QZDAaDwWgmmszo/nsTFLui4eTFVzcpNV+/Eu08av8Mi3E5XPsk3rVpWLcYV7au8D8/6RhTW8aXkvj+auOofdeaK03Sfz1wvfehiYzuvzhBsSsaSl7cpEmpRaNgNwGDOnjgwcGeeGCI49fuMRrLtU/iXS+heRMnxr4eqdfnS+YK1hWVErdN8MZ9g2pkfKmJ711Tf75eEg7ad+25tCT9VyyDpkAuQ6eW9k7Upfah+WGXl6+E0qZMSi3DwD5kFOwmYM7ZSuxO12P/SQNyxW2My+CaJ/F2kND8hufa9lkRqkJnTwkqLlRgyT49LtBS17SJ7+vP10uhfvuuBy4lST/PlcmgKZC0UOOmAfZO1KX2ofm55Hy6G5Osr/RW+SgxoYcGw1qp0LGFBFL+vZgeHDJO63GKvLi6CazLS6Xo316FcM6Mc0KWBD5xthsGh0lQkmNN6MwnUp7a0w0DYlWID5AjLlghJCuuThZvQ0beTXsNJtuSHdNEyii0e8NLg4nIAU20BjfF2xI2m+EepcHNXdXVydTP8m2UytGzI01UgwmZFiqzC5+Y2W5/rSTotsTsrpJOO0kWruITYbuhC4UE/Iu1VWoZItUWJBukaOkugUFnxpki/k0ykitI5F5D/aTP1gTjZR7OEzs7S65eXRbVG0P1jqP99RPdX0m7Ly+xdQ0OknjrgLC2anQnfa3wUGFyNzWCdUak6BrRTiqv0YnjBaxjXj+hOfXXplsminpF3eNfV5hme1+hy8TztXGo8yY5BlO53VsA2aRnfLEtwtQ0RgoEkM4aA9UYHS2DySInfdU4SCpONNAGpQe1vXuNXqh01J8KJ30W5rnrMXO1rpyo+05RZ22j+TSiszX/q5nmapmZQ5VUgX5x9RPfK1wlM3e2zjibr1ReLXfuEtpXIK6BAtXrFJUW7IaptF7wifjV5SZkNKgbJOtLSn5vjwQtfOXVSfovqF3MTYULGThrm9iv+vPOeRJ9Hsc6BrjTOZM7qBFHcuRfT+7jJYNnhRkV2po+CGPZRLIafoV5dG1cltEVEkyP8UBXMcF0UKCSJgbvzZJS0uRI9qubVJhDVhFNbBJyQJUB2/hUDuQlDR7ojgHhEmsCcV8NnhqtRWt3EqCSBjBEiSj+BeIVRhzNNNe8N5UGjk+UPL2VEgFaErKPAjERKnRSm7AvywKLi+TX9onIuwTJapJ9x6rRlYQdUJ1MXQ4uVY8Uo2h0lXK0iVAgUEjMrEBcNPWp2IDjZfZJ0GsSsztOOg3EO0sWXqLAzQPdQPosXC4JDrAm5t5pUuEekmOUzITN5ywIcZqouqFE7rWTTSvqJX3mkJ4lxSQaU4eJnQ1yp8nVc4LFskiG8f6izP2U6B5D+1NpXI0SFwm2ryABfQOJrWteWCJDv7pJvPPNCKNJ3CNchV60mIZ6S2HJ1SM7uBHtbGzieLF2of7+pHNCtGeX0PyEGSEdRN2KVMCbT7BB+tI2ihzUswZkmGoSgjc+4XudscvQozRci4nk7AbpDDikV+KukR7o5m3BgWNG+HcmfaX2dyOZ1iQV5420GUdJZyrFueasDfxL4R8d54megXJ4amQIpHGPb0nH5pngRYt0vT4nGiFp53zMyhtYV2oZXVdtq1LiVoq+POgwfp7xdZfqFegZwUdD1vbw82trsQIPO0tmrnexzpQqMM3BfN3sIJE+3756Cd0dtC8jkeaKbVBlyup1qifvLNJ6GBJAso20zrkss4uyLyn5fV2k6MSfKybpP6p1cz43C+S4yZEM0oBhzsaFzpnI96vOvEtQa5wm0c/1dKZjBuQFazGjFZ+yQJQjP7dzDTDGuFf34UCRtMlkdQ2Nrhm9+npgoC9vaEoxf3U51qZziCMh+vCeIE2O025KjIiQQ2YwYMfecvx9mLZplBhKSl9FQrYaXSni26kRqTQj6TgZ8nZajAjisGdtMT7bb4QbCSZabsBfaytx1q7vbiTQe6nz5gvleGdFGf46ZUYEDWoU/0L0UyYE9+LbxiFlXzHe3FCBg2QwekYqEedpxr5zJGTeiMKEHauK8fFBI7yjVYikaDLvWAleX1+Bs+Td9aDBc9cbsDNXajW6UgtO7uSTiuuwq0CCjrRIxQYAZ09ZECuUZ+0DaJLEewH5J0vx2lodttCA9yUDHURGc0uaBAPI4HqUVuKnv8uwlOQYQoMdQxMu56AOi46ZEcMvwmUV+HBhCZbQBJb4qgQ5otSAjZlS3DJMg1CzASuXF+Pzg3oY/VVoH0zOQIUeBzmrzCVU/hd/lmJJoonKp8WUopx8mtD2+bdlYrk142OAlhbg/r4WHNtcjPf3VGBvqQy9qJ8tldT2PBnGdFXBs0yPZZvKsfK8GVIjh9JSMy5qxbGu1OOPlSX4el8VLpJn2jmQJiH1e3uODNMvu90mBHbWUPRlxrHdZfj2kAF6C0UtlWYkl8ut5eqr8MtfJVh4VI+iFjRZwxRwL6zCEVuaRFoGTyVb7GRbio0lMnFcydlIKseyA5XYmSfH5KENt5NPbvzJslKsuCBB15ZkLOXkEK0knT0s6pKPBJXn9DhT7eVQ/af0KKMQK97LjB0ri/D+Xj2yIDp05HXvW1OMD/dWIY8WqE7kuKhowh/31Ap6XnGuFG+u0mHNGRMi+MUvWILcJAMuVI+nVJyPjsbOiN92GeBDDlEnMuytyUmIc7dg/5YyrC2W0Lzh9VUCXUYZ3l9JOknzJ4AWnKhAGVQX9Tgb4KoNJoT3qZlrb9Pc2E31dotWIkJlxHerdSis22e5EjOcjpkBSjLIrtYVe6NrWwccto3m01/lMgyj9aYosQTPr6nC6QuGWmPw0QkOPZzKzYS9Ujfc7WydOaLDb0frz9dqg0vUWqf+In1JIR0khy02RIaKY+X4nXTQvn32qbirr7DROrWHdONjmlNW3ZBBWaJHopd1XByWfcYAS4SLdeicGW4UIU5sS8YrVFHzR+eigPZFWs8tyKjCYbiYmwdIBg7WLJWrcTlpQRh/vP28I0WOaO2GeJrjezeX4Mv9ehRQX7sEyaEknZC3daZjJqzapcNanZ0cqb5DRTa9tvbhSmVlH+02ldG9jHu6tgTTRuwlQ8N79Poi8ij4ZMV1sE8qXOc91HWgBVxnIRWTIIwUu39r8nA1EiHFXm6tYiX1EiVztCB+/Xs+Hl9Qhp2GxiciP0aeOp8AUkj2TaI9m2493ppMHVCJeR4Fyg3YkszvpzU3kyZ/GZ1DnlVMdWJme5wknSZ5OU8W3ghsyZUbSFTdcLLpGmrGR4JgV4mdG5FcvSidJhDfLur/0RMGFPIRhR/J/Ira7SIBvVhuQ4mtXVJlwGYyrsdyzSii8WxMOxubOL7RVCfFJ73Js+qejycf9fJ6TsPe2ITvzsbOZMQf20nv5HReCwnyT5XjjxqLTThLKi5toA2yOnMNKDxXhrk/5uOZjXo4/DW/yzFTNHpdqVkHGiMfZ7iSGzmNLtcZoQAX1F+naid0b0z7iGrd4FAgvKxfQpGaTTeclS2cSThZh+hf/lLuwPYaDLD/66BGKyc/Q238mtLAuHgLB9Wed2ZXSfQvQ8fqcKWyuhrUrCaXgDXBtBTe1crD52SsOwh1kgrXRSqBVllzTgFFB2d5o9nWmropmkS8dmclMsT9VhwnSrb/KYi1bU2QiNwepRQtbOVR2SohKxL1z+Hkq2ljLbRqF8nCG4HYfteJqhuf2Jw/yn58XCZ2pjnQUHJ1N41UmGw8UhobXlwcRcOVV9juK0ts3QAGWkT4fvM0uXwbiZ0uVpK8bGVb67yEhO/Oxo56EBlBETnfEfrsHaRAZC0vz3lS8YbaUG+uycmAURTh9GnWBsascesKj22ONU4+znAuNz3Oi2PubJ1xjeN1qiaheyM1yMk65bps4R/CyTpEZB4uxuNkuGr/FWN5kXhALS5tTXE9LsJBtecdOT3Ok+hfho7V4UpldTW4DKNrSwIsR58BWoxvXZOs2BXmSlrkqcMtotwwNo4/R2P1gASkGNBfi9ZKGqxsPfaT57NyF01GB7kg6yZKHtzFHQ8M98Qt3ZTwJu1oskTk9iiVGDPUWt7EIe7oSh6hniIeWtMaDxluDW+jaCLVSxbOwxtxfkVyU2JoTw2GB9cZGjG58uUlqm4I14mdTY1Irq4O02J2T2pXazfM7quGJx2RmmaC7kra7SqJuljuZSW2d8RVlS+NrbB6Ok9oXhvuMhK+Ox47SSA5KW1J0fIr8NtRaoQPfe+isFuwnCQVzzQ30Ib6c23iYE/cM8ADoyOkZFwd9NnlmFE0cwnrSuPl4wzXckt3uc7Q6Q3M18YldL8canSj6cu+RBzIwOW4OJxGvBG0fqqfRL8hHaPllCJvI19GMOl1dzXa1bHEVyIriacKD0xrgVeHqpr0J5u1NaVRWJMAr79ghtJXjZF9PTChlRQFhdVug0PMWZVYRxPZ4q7C6P50TpQEF4trPJrzJRb6vwS+QSr0jNdg4lAfvDTGDTF1vMq6iZL5RNgelQas3lSBJDJoTZaI3B4K14y+1vKGR8pgLqrE7zuqUCjubhSukoXzWIzYQla8QiFHp3g39AurMzRXlKi6IVwndjY3Irl6ZQUQEk/t6qtFvKc14f+vp2mWXUm76dymTmztlKss34YSmtflkhK+Oxu7U1JMHUgys9D82FaBfTQ3VmdzCOTHKcS2sPFRh4Ok4jSerttQf67x9ZZf0OGH/fxleQd9djlml7auNF4+zmhA512uM3R6A/O1cQndL4+rWfYl4UAGLsfFYdtcJ9F3rWN09vkqbMm2QOWrEi6Rk2rX4kpkJXWTIcBNCg9vGezuMF0xV/DuZfIMAxRoRwssn/g62SRBJHU4nyZJudOkwvwlGvJyxeTFeXKZNSFxqQy3TPNCT4qFv/+zHCeVMvTsQV5lDHB4QzF+qvWUgRX+bS4dwuTwNJuFJMOFtbwoZwmKaXudZM71EkXXarv1eD4p9QWTVKhPY7BPLG7d7zQxO+2vnXRa4jJZOI8t6bKOr19MjM4bffuk2JebyL0aF+PjKrGzo+TqyjgPvN1fieLEEryfLKlJaE4OVa1Ru4J2X1Zi61rUHff6elBNo9tZv4x6ulQXsQz7hOa12uBAFnyZl5/wvX7S85rE+xxaDfTGLeEW7Pi7FLvVcodJxXkaaoMtkb2phKLV3DrPb9Tqc00/nY+Zi3VFPMIep21zIsv64+Na512vM2KZtvlaR248l9K+GurrVs24Nawb9fvZQPJ7O2z9EZL08+tTnTY6WlMcycBx25zPO6dJ9MU+udQxsVxvqbVdfML56j7YyeRyZKWl/mr01n411buXr4+EBxIFZkz1RB+VGUmn9Tijk6BtWze00ZqwenkJ1l7NhLWMK8Le6L56oFHX9RjXBVL0Hy4a3ZUl+EN4KozBYDjjxkp4wBmxbIsOSZUyxLfXYkovDeLIAB/br8MWZnCvazjyGHmnsTkfRGA0DSbxGl6jH+xhMBhXzHWX2k8I9/nLTg3+zIjBYDAYjObhml1eZjAYDAaDcXlcd5Eug8FgMJzTVBEX49pwfdzTZTAYDAbj/wHM6DIYDAaD0Uwwo9sAEo0cveLskyTXRYpW0Uq0E7KhND1C/TFyNPZ1woyrBT/OjX/9XFPAxv5qUXssfQKUDl/vWHfu88f1DpaCf300g3G5XIbRlaL30Bb45G7+heW2P1+8NtYdo0khr47puXYoQt0wvb99kuTaBHXwwIODPfHAEPWVvypMeK+ovYGXYdRQL9w2yAv3dPh/tvLWk8UV0BRlyRQYMdCjGRN2N93Yq7wVjXxn8P8Tao2lFPEdHSfbrzX3Pd1w32hPzBzlgZGe4gEMxmVwWZGuXDiLQ0FmJXYkVeLYBTPk/mqMHeGJ28L/fwXPOWcrsTtdj/0nDcgVt10ukhZq3DTA3sCbsT+hEknpVdjJp0r6f0R9WVw+TVlW89FUYy9BZBvHRoVxCZTqseVEFZJOV+FIdbZ5BuPSuYx8uqbqfIWZCeX4KcGAI2ersCtPgu58nsIWHE6cMsGdz8gfLYOpSoY+PTQY5MUh312FkbHkbheYkMe/TEGlwPAuanRQW5BcxL8WTIp27TW4qaM1w39LPznahioQwplxzi6NnICMohc6djJ/bIwSkXzOTf4VYMJOCYIi3XBzNzf0j1WhnTdQSBXymS2k3kpM7KBEC6qre1cNhsWp0FrDIbNQih7UzvFtVegaJEUl30YjVSPknpWhqsAMSYQbxrWuvV+qlaGluwQGnRlniqXo1cUN3ag8BLthaic1eoXLoS43IaM6Fyj1sZ0GE2lf3xix7lwL5MFqTO6gRpyXlE/ABB8vGTwrzKjQyuEn41BcaEKWkHNKhu6dNJjQ3iqjUIkZqSQ7PgVdKC/zKClMnAKje7lhYKwSMSSXFJILL26Jhrb30GIU9aEHtUteKpZpRwDJbWwrhVB3VpVYJkWJtjHg33E6ob0SQSYz0nTO5CyeV2v8LThG/VR4KjGmpwYjWpEcQ2VQlPH1iJWLuDuRBX+c0sX5fMqyqT3dMIDa0pHP+ZlrhiXw8sridSic+jCFxrM/yTGSTvYKV6CFwYi9J42o+650vu4pJIdBpE/2+mHbZ2tXfIAcccEKQVYZeby+OtYHITmIb83YX1CLemuWoE0nLcbQGHb0l6A4xwz+DaSCXtnmDj8faMTPFknQmsoeFqOAn0oCqYzGxVeCEjqnrt1QelD0171GN1Q6EzLFHyrwejO8mwaj26jQM0oB3yoqm5+PEhl6N6TvLuepizEQy+7uwaHCQ4XJ3dQI1hmRorOeZ0WCgDCSe3fbmFPfaJ7aXvHndK7Y8tUKY2mCp7CecfVy9lbPfT4H+EUgIlAGpcmCzGwLneN6rvFtc7YG8TjS1ZrMO65pqryujGvDFRldPknwAT6XKGEq4xAcp0a4J1CcbIC2owct3mp0o8kUxy8eZhNyfWjiUrRRmSoqt7cadwzUoI3MhM3nLIjs6okHu6rQQimBihaBuBAlwjyAslwDjtNkqYYm5IhRXpjeSokAMnqePgrERKjQSW3CvixqR7wHHu/vhkhvqtdLjpAgFboEWnD6rAmV4RrMpknakRyEaHcptF4KRIXRQkNt7RIih9ZNhpBAFToHcDiWTMeLCd/VvkrE+1vLC/BTonOEFAXpBuQFWcuL4vuQLsX4Ee7oEa1GT/49zUoqK4DOi5ShOMWALJME8b29cF9nFQLVEijIoMZSuztozMhwo0WrFZ/rBML2SFqcpdRvY4w7xsYpoCzQ40CRVOj3LXHUb2qHH/UvOkqFlkYD9ucBHbuRzFtT3fx+lRQ+vgpER9BiQ176oRIZpo33wnBa2NRkQHwCSCZkFK3tsoqVhwtww53d1QgzG7D9ghSjhnpgQLgSce5m7Ekxo2V3D9zcRo6yc3oURYpy1pJBU1NfaAG0ytmCKL4ttcbfiC1FCjw0zgPdA/g2SBEQTHKOlsOUZcC5amMHBLZyx4x6stDjCFR41Mn56V4aPDNSi1Y0plKSewTfFm9yDBS08F1iWefI2QgnHXqkX40O8enxaE0H9PWNrjpEi6dHaNHaRwq5QoZQKqtrhAQ554yCzj81mvaJ7YoknY7yI+NSYcTRTAtinOjDoUwObXkZimN/VOtm1VuaY63JgVC7KxBBet2R+nggleZODy/c30WcO7SvNS3moeRUqeO16CFEuOQ0tFAg0o+MfSKNud10kvqoSRae6Bkoh6dGhkDS73hytLzz9EisVGAG7RtO+qyVUxk0D9qREfctpDlZrsAkV/pudjVPLbAI9ToZA4NYdrgKvchYh3pLYaFxs603fH/4MXpiIM09/oX0JDte7t1J7lnJRuRx1rr5ueJNMtF6KdGanBphruSTg32pRjdbLrSnayCfZN8In64u5loRhLY5nhsm6AId6+qBVLOQ07UhmNH9d9OE14LJAywiV00igUd1yj5ao3Ir8MeGYry32yCkYnKODN1owsnLK/HN4iK8sqYSfP5m48VKLCaDbI9bNHnGFE3oL5TjzYUFePb3MiRVSOBHC1J3rQJjOyuhMRiw8s8CPP5LEVZesEBDxnFKq5ruWooq8PHiQry8thL5HJ9eiozmikI893upkMRc7q9Ed7t7N7IqPf7gy/uxED+kmCDzpIivo8KxADkT9qwuxIvUj1/43K5qBbryl93Jw27HRyfZOny5pAgvLynDMVrg/WiB9DlWjDk79eQlcyhI5PNdFuLrOmkwavX7l3zM+bMcKQYpYrpqMbBa5hzyT5ZgLvXtpc1V0FEL29AiqXSTI8pTAo4Whb83luCdTeXYTv3gxNySNioyyYCRc9CCFmBfTwViPSQwk/ilfgp0oAWiFf9S8iojEgrlVjlXVOGXpYWYR31dmG6V80ha+GzUjL8RnbtoEMO/3nNzEebSOa9t00OnUmIEydH+diOf77O+LICeLs73DyBDQFFhQboO364oxk8HKnCYHLXSI5dellwh6hA5CttpHJ/4sQDvHTQ4WRAliAklo64zYPNafkyL8RuNuZz0o1eoFJHRSgTJyGFZX4R5S0qxjXceTQZs3GtAoQt9sEtVXAuutBKf09i+uLiUjgW05BB1lJEOUBQmJ71L3F+Kd1aUYnUCn23HjJV/FWEJGXeqFDtWkv4uKMNeWyQoIBVlQVHaviK8+GsB5pEsymRydG+nhIc/GXc+QjxWQu2jebmVdIr2dY6TCzmTBZzou8t5qrTV24A+SMkYJpXh+1UlWGi/DtjGSJjnhZizoBCL0knuXioMjq6pu/RcKV6jds1dWoqkKpJTZzd0bbK7DE7mmq1tDucGGWgnunqVnsVkXGc0odGVIpj3qDkOleJlNf6+1KmESuygUOp8g+/U4EB2EFDJ0a2NCoNaktct4VBSZrtcY0OCIF/yjOn4zDQ+VyKdWaHH17/nCwvKTvIqg5RUc75eMJ4wm7GdIg7+8quPXX6mkmzypskL0OebILzrvcyIY7wXbTIjk0+CTc6DLaE3T1F6JXby5ZFzcfQELZh85EARi491d210RhziPQZ+oRcyqNBCQ546nwpr09Eq5FP0df8dfvjkDk/y+mk37WrMMy51+20oNeBwDi1Ecin8teJB1L5k6hhvIKrK+cuU5DB4UfRFRmELedlmTzVmTGmBF/qpESKz4Hzdy/ZVJpyhBUBKUUk33mDQgpuQTBG3XI6WURSl0cpQdcGAJHernKFR484Z/MN0LTAzkpevBGHVj9vaj78U4T68PGXoNLQFPr7bD68PUoFvttpPjnDheFe4Pl9zthJHSgHflh54bqYPbonlHTgzOVTCyXVooC2eog7lVGENyZe/8ZFxQg/Ht1Y5nEyqwLESip5G+ApyuDPG2n85/VOqs5C5I5lQlNW/tRLRGnJ8aFsuX9Zl6EPxeT3O8N6ryYJSA3VOKkOwtwX7E/TIt8jRdZAP3pzigS6+EhSQE+ywybUQZWEx4XiKWbjsW3iuDHN/zMczG8n4XqzCOorAVHFeeJfk9M5QtSAnPpdy9exwqO8y1/OUnMVG6UMVOTMH9TiWa3fZmMc2RrZ5Tj3dQ8abd6o+T+bEuumwGE+8TmV/PMPTmr9bKUe0N19AU+Bkroltczw3pCi4JF1l3GjwmtAkqAJVaEsLMldqxInqG0YcdHaXa+oic5MKE8OKGftTKJogL7FPHw/c1F4JLrsCi47z6bDtqcnyr1Lapj2fMlB87J828WuShAymm3UnPNXWp6prXsrPwcIvAuK3xuCmqWmrlOrlvXzOSA6GdVNtLHxiZQdo1Zg1RIs2nmYc3V+GJbsqkek6/K+Fo367i5GqsXp1rZFPLcgAXDxRjq82lGLlkUqk6KVo2dYdt9ULqahtZCQ5uQL9Wsshpaj20FEDsiwytO6sJiNsQfoFk/CyfL7pXGkV/tlJfaG/ZQd12JFYgU18tCNQe/yFNnJ8Igvr8Ut2l2MzHb/5uAEXrIe4xNX5udTu7dtL8P2Wcmw8bUCFVok+/dwxwsmTpi7bIvaNz6fpKxxNkJzJXjpAhmGDPDGUIruyc+X4Y2c59uTVaFbBOT3O8gaGZM3nj40ms7Z2ZyUy+J2XrA/O9ZYrqcTCdSVYsE+HfdQB7xA3TBvQuCfqBVmQk0kBqhXyFjq1tP6kJridO+7spIJvZRX+Jjn9edJYX7ed6LvLeUpeRaP0wcDn+xU/2yOOkf08F57SFn7iY6ubnIBzOmvZ9Lf6WAV2HKvEwRLh8CbAyVwT2+ZsbiguUVcZNxZXYHTJm42kid1DgxkDPPH8CDf4UVR0gjz3VIfWjEOZnt8hQ3ty5wfEUcTVVSl4tgIaFe7ooYLKaEbqOYqOEmgB20VlOViEzmfwnrME4R3cMSNehcFd3PHAcE/c0k0J7yKKwvhIzV+Du3pTPfFa3NVBAanZhKQMRzOkcajDtJjdk8pr7YbZfdXwpJmVmmbCJb0UUynlU+4Ki1Q+RSFmHzkC7EIaC0UuRt6QBpNcu6vRrs4PQuv2e0Rvdwzmc0xSn4/XfbKnDhI/iqYmeuPBrgrocvQ4RKEWv5bxEUtdctKNyOWk8NZSVJtjwJkKI04WcNBqpVCYSI785cpiq5wlWgWi6Tg+4opvq8GAtkq4kzNSHzOOp5OxlkgRFiilSE6CFuFuGNLeDS3VXPWDNTbqy8LV+UBoRw88Nd4LY0I4pJw1IL2S2kCGhI82L60saoutbz5qzBzghsG8rg7WINyh0eUdH+snPtdpoVmGsOqfJkkxoL8WrZW0+GfrsZ8i4pW7aPG1hTQN6EOjkcgxeoQ3Hh+lRSu9CQfOGcEHfxIZ7xxy/N0AQorY9hpMbadA7TzfNlkoMHiwFiOorxMHe+KeAR4YHSGDihxWvklmvQUXdUAQfz/aemIDcK7nKXkPl6IP9RDHqHqet9bgvpFUNsm7g6ZmrnhR1NyCv3LgrkTfjhr0CZai8vKXgcbhcm4AUU51VYbBQ73x5jQPDPZ09lmsg/Gv5YqMri9NkgE0kfu0JGWq1GPL5lL8eI6/HOcIDsfJyzxFVsonUotp/d3R3my2XmbjoZmQW0VnKmSIjqFyaaLOutkHT3aQ13sZgSW/Ej/vqUIBRWN9elJU3FkFj0oDVm+qQBIZ15Vby5FYKkEERRfTerohQm7GqUM6rLmC6zflFL2HxFN5fbWIJ8XPOV2OX09f4uwt0mNXphlmlRJjR3lhRpwUJXavvjadr8KWbIvwhPCADmpQdbWo2+8JbRVQluuxhiKnOrd/68HlVOLv0yaYfd0wY7Q37qAo1lhUhXWn6ns1XLER54R2WZB13kTRvAUnLvB3RWkLGfhE/joaZ6J6dThVKUU8LaZ8FNdabcGp/eVY7zAdI4dzx2kMyGB70fjfROM/nKLD4kwdfk+0lm2PI1k4P9+EM8crsL+Ixqi1Bx4c64GeFO3knK7Adtp2aWVRW4S+VSClQoKQltb9PdRmXHR4U9eEvScMKLNI0bK7Fx4YpIZaZ7usa8H5En4+0FwJUqFnvAYTh/rgpTFuiOEtWQP60Giovev2VyHHIkevgV54dIgbAsk52n+4CllUe0JSJVL1UoTQvBpIOuMvnmaFxuVIOf5KM0MZ4IYJoizKL+jww34yCClVNGc5aEK0uH+UB7orLeDvvjQGl/OUHI1L0Yd6UJ9rzXNe/9wsSDlYhj8ucELdiw/pUaZVYXhfa93uOj3+3l2F7MsQ8SXhcm5wSHamqyUS+HvL4O4mg79G6vizm0PPj/Ev4rISHgjp92zXdAhDJS0uwr2cGupn5LciUcrQgX/S0WBCYpYFCm/y9g0WZHtr8OooN0hSSvDaDhM0PkrcNNIDnaRV+P73chyzGWc7bGV5kvE+kWWiKEPcwSOTIjpYbk0TmG1Cqq19tD2UIhEjRSW5gjstgQ+1wctsQXoZf/euTtvF4yuKzTB6KNCeIsuKPCMSiq3H2sqDIANyKOqUJaFoJtKDzrGrLyhIgZa08OdeMCKN/B6hjdWpDK3t8ZZa6zeIsi6m+m33tPj2tQ2Sw41kePpi7e21ZS5BALn5GmNNe9w95WgTIIO8ipe/udbY2FOvrFr9FGXJ40TOzsZf6J+vHK1bSFBZaKIIuubnI/WpLQtbn5yfL8rWAyi1HyOBSy2LoL61Iv0K4J0O0i9+LPzos02W9ljlSj5sqQnHC0CLJI15qRTjbvJCT5AO/1mOk6SvPXtQNBYDHN5QjJ+ER4id6wMfBlePPb+9lt5SnR60CCtq+sPPhzbBMuEhndQsI87bd0YcPwXNNUft53H3tuq3qYT6QN6w7fTqcgU5kEH0sM7Zxum79Xyn89TpGFjHy75sx/CXrCmiVFvld8bBOlR/rtQuW+FMV0WZWWUu6g+1pHpsGphrzuaGFce6yssvQsUhg8rgr4Q4+jyfJTz4V3PdZBmSBmrxylg3aIv12JdiRJFSgX7xKngV6vDOP5XIFo9jMP41SBSYMdUTfVRmJJ3W44xOgrZt3dBGa8Lq5SVY6/CKAIPhGpZl6N9Nkz1IdaVYcirw8349SrUqDOjujokdlXArrsLfe/ifPjAY/0I4I5Zt0SGpUob49lpM6aVBHP8Tmf06bGEGl8H4f8l1mcReIuF9AQv/6yMG48ZAIhE8XAtTagbj/zXXTaRrD8cxg8u4wSCFZgaXwWBcl0aXwWAwGIwbEWZ0GQwGg8FoJpjRZTAYDAajmWBGl8FgMBiMZoIZXQaDwWAwmglmdBkMBoPBaCaY0WUwGAwGo5lgRpfBYDAYjGaCGV0Gg8FgMJoJZnQZDAaDwWgmmNFlMBgMBqOZYEaXwWAwGIxmghldBoPBYDCaCWZ0GQwGg8FoJpjRZTAYDAajmbguk9gzri8m7ntC/MS4kVnZ62Px0/WFco+3+Ilxo2PoUyx+unFhkS6DwWAwGM0EM7oMBoPBYDQTV2h0OZh0BcjOzkZ2gQ4mceu1wQxd1gkcSSlonnZwVSjJoX5n56BAV6dGUwFSjqagwHRjX7mXKNtiUuBADNdoxS1XGw/EuLdEF/dwhEol4rZriRy+6mhqTyzaKVXitquBAqGefTDJOwQaccu/Cn4+HDmBLJ1Z3NDMKO+BJOgNSLwG0JcBkATQ54B7rPuqCQK8XqTj6E9Jn4Xj5kGiaWfdfTWp1b5mRqj7SUikanHD5dCMsrpqGFCQchyJWeVk1fjPiUgpMIj7mpbLNrpc+Wn8/c59GBwdgdjYWMRGdMTgWe/i7+RSavTVxiqgI4lZqL4jXbwDb40bjP59n8ZvyVXixquBGeUnl+HlqX0QEkP9jo1BRPQoPPD5JqSKi4opYQEm95uNL/Y11/0JC6pKClBSZRG/Nw9uPmPwULuZuCc4QtxytZBA6z4JH/d9B9/0eA7v9ngZP/Wfh5f8gmgPoA54HKuGfIuNg17EfW5K6yk2FIPxdr+vsXHIh3g7wKf62FXxA6CWDsDbA+m8gY9jUt2ZYNvHl1vr71U8rqE6pG1wX8f5+K3Pi9Se5/FJv3fxc6t+CBNPbxzUL01XTA3sinaunAi3sXilyz14rMt9mOWmEDf+i8jfibf7P42lZ67mvHRBi9mQxT8LWeQYGrcxkPKf42eToRH3C8RCEjmHts+BtEU8EPE5ZB1ehKzbB5Bcbf/Ovn3NylRIO35Adc+HrPXj4rYGkE6u4yCQg9Kcsrpq5GLn2zMxfWkyzKYkLJjcC+O+OIAKca9T+OArtwRVl2D0Ls/oVp3C4mfuxvRX/0bxgAfxyhuv4fl741G8dB6mT30Ji5N14oFXCS4T6+dOQ//pS3HG5jy7x2H4PXfg9gfHo2fw1VqYOFQl/4FnZv6Eqokf4uDpszh7NhlJGx9H2KonMOvD3Sgm4cs73IHlu77Fw72a6wGQC1g3ZxLmrLsgfr/BkLTDg/GjEa8qQ1LaSvyadgJ5khAMjr8Ld6rkkErkkPHHSSMwOrIL3IWTeNToFjEMXZW8mkuhoFXWdqxMSudRpKrgFwnaVsdUE+I+Lh/HM7Zije0vfS+OGuToFn0bbvV1R2nBNvx6ZguOVcgQGnorXgy9FLOrQoeQqXiw3U0YwxtyZ1Tuw/LMIziUtRPbqoziRsbVgyKcot0UWGSBy90F7oa9YHWK+pcAruI0LPlHxG0N4HlvHQeBAosbTVbyeNyxfB9WPdyj4StLOeswJ/q/WJfT+Oursrlz584TPzcSIy6umo9pr+xB/DO/4O/PHsSovn0xaMxNmNLVgLVffYHlui6YMa4lDIlbsGFvKoz+EQjU0MJXlYZda7bhWL4akRHetKwZUZKyE38tXoFNuw4iKU+BkMhAuMv51c4MXdou/LlwubAvkexJQHQwPE3p2LVqJf76aTkSTEGIjZKg2OSL2CA5yorl8AsKQlhcOLzlFHGWpGDHX39g+aZdOHymBOpQvh205NJCmrBuE/bnSOCpO4AlC//B9sNnofOJQnQLFSSmC9j103dYdlqFuPhgaGzeG5eFVXOfwapBb+Krh/oj1Msd7u4e8A5sjZ4dvXBi0wWEDO6KUEkeTh7NgSoqFNrsg1izuxC+sYFiOSYUJGzBphQpycCLooAErFr0B9Zs34/ELBNaRIbAW2kRjtmeQwN0aj0WLd+I3UkF0EREWdtvD9+XtcuwdMFmpLqHwKMsHyWlWTiSUAY/oU5rfRuO6OAvfKdIPWUX1p/kEMGPgSkXCeuX489/NmPX4XTo/SMR6U0yEIvnWXR+rfWDNBqTIqfinvDBGOMbCa3EF128vVFZQkZB3xaPRvRApNmMqKApuI+MT0VFACZH9EVb7gKOVVVSAS0wMHQSpvr6oKQkA3n8ZVPvsXgidhwmB/VEX884dPPpgD4kqOSynBovU9oe02I7IdB8Cr8e/w1/FJ2kc/3gY9EhpzQRJ5Q9cKu/PxlRKdRaH3Ja9+GwibwxxUA827Y3goQo0oicvG3YjM7CsahIwO95wNDIDghEPg5l7MEJ+wVDEo1Rwr50LD/2Db4rTMCeIv4vBekWT/QPG4nuGj2On/0WH+Qcwm6dCi0VHMor07C9rKDW1R6JsjPui52G20P6YyTJTVORilNGD5LFZNwcFIdAhZScgBZo5e5FcpGib9QYjFRxqHQbgIejB6KlIQdVah+oLEVIKcmBf8Ak3Mn3gWuHWS0nYEpQV3SWFuNoeSH1kscfA8NvxcORQzHWvyO6eLZBL4reWgnj4F6zL7AT4lGA47pi4bwZYfaRlv3cPIIz5e6kr35QS80N6ybp1PFVS7CY5vq+xBwoPSpx8IejCLjnVvQOruNcmKhPO1ZiMZWzi+ZguXsYIvzdakUDsqy36P9q+u9xSGPfgjT0AUj9xkBizKVAI816EEWqaPEmpC3nQhp0NyTuLYGy44CFtMj9PkgDQmjMd8OSS+oU1Zf0+yK49O9JhuLpiIAkcCak/J2SvIVUbgD5YiSVypPgSvMhCXifyh1G7e0BaRzVEzwLEnULcCV7rKe7qr8u0mmQRL0LWcRj1I+hpCBBkPoEWNuXs4kOcFUWRZbeb1MbXrLu82wHlJLBtNUjHQtJ+HtkFJ+ANHAGJAoPav8B2hEt9oHqq6K+RpMc3fX0mcbDXAiUk8HU96TtL0Pq2RpQksxaPkdl3EqyqgKny6R63yG/dggkWnJrJSoaj750PtXNxdrJiq/Lvv13QqKJpDbuo+PIMGlegTRyNpXpBwRThB3+EKQtetN+Os9cDnP480I3amNdw7bnKqE9vwW/L1mL7ftoDdCEIjZQS7pi26+CZ84OLP49CYr41giU5tnp4QWYW4QhvHptMyD/+FosWryaykrCBaUbTAdXYlvATXiwtw/yT57ARVUoIrx5faVjEzZi6Z+rsGXXUaTqvRAR1gKqokSsXboUCzakwb2NBmXZJnGNFSpwDv+ToUv7S+GW3tuKVHU89/HB/Nr7inZwb3TQcvB5gluRdZHb+cYAOm4A98bOXOv+swu5mbyaz1zIndWVcOnr53GDtILai39aruUdP3OJxeVc2amF3KyWVJbdvlaPLefSUsQy7P6i39jJlZTs5N6I5r/fyy08W8KVp6/hXhwUVus47aCXuVVnCzmd7djIaC7avv6Wj3FLzxZzZce+4Gh6cdA+yC1NL63pX9YK7hGfEdy7e/Nqtjn6E/optuPUz9w07RTui2MF1n3lSdzP0zpxE747xhWd/Zt7YVBPbsrzn3I/L/yGe/32vlwrof85guy00fHcgNtf4779jd/Xm/MZ+j63J7+8dl1lp7jV7z3Kjfbx4brM/A/3xhufc38vf58bJowBtV2oL5r6N537LqmIzsngVj/dk+v78QGutPwct/7F0VzL0Y9x7373M/ft67O4bj7juTd3ZHHldnUM23wfN2zLfG5BYRln4epi4nLS3+cmJJ3gjPw3s8l6jPkE9/1Jfpt1v1DG5ve51TqTsO+rrfdxI/dv5LLMHGcxlXK5lTrhfM5cwqVl/czNEo63/b3NLS2pop1GGucEbsPpb7jHtj9Yvd9Wt8Wk5/RUX9GFb7lJmx/mHj6bzpk5A1eir6S9Ou5Y0nPVxxrzfuMmbP2NO0b129pTUx/92fZZsrgtJ3/jvkqy/n159DVu4uZHuCeobKEcfSZ3MGM5997ep7nh9ufb/rZ8zK0u19OReq5EV8SV8/3VH+M+3fEut6JM6HENpuPcJ9tt9Zqs8uDbfXKlXTuf477K0wl7aANXpS/jeMlwXDF3MPFFqvNR7tlzmXQuv6+AKzBYSzHq07ktiW9yL6VfqLPPdt59NTqlK+fy97zPDfUZxN33zrfcb9/N5+4bEM+N/+IQV6zLda2bJWe4VS+M5HwG3M+9Qzr13Tv3c4NaRnOR9utA9d9Fbs+7E2odO8DnFu6Lo7Xnl3GjgjPu+pyzGEh37DFncOYjg2l/K8506qi40QZpYfnfnGmLB2dMPGjdlPsuZ9z8LmcRZHmQM22mcvmyhb/BnCm3jHaQjidSmbZzdMs4U/U+XnftZ0AlZzn3QMP1V9dBf5vu4MwFxeIxdeDb11BZB/6i9tu3gT6X/MqZNvHlT+NM+UXidhtVnCXzv7TP1gc6nuaoQO734jYjZ0mjfthkU49iznJqNmdKyxC/23AkK0ftp/oKfyJ528bCrg0C9L3sd6EP9uNe82fVOZ/+g7gR4+zXqpHci+vP0Vpl2z+A699tAvfgCz9ze8+fIj0czbWa8jz3xc8LrMe3ms39nMjbrELu7KqXuUH2+j0onouO1Fptie40t3BmF27mwtN0rGinWo7jHn3XNhdacUPf3MpdOLWae++R0ZwPenIzn/8f98YHq7nTZY7aX/vvMi4vm2Go5P3iQPj71LmMqwxAdAfy2IrKodPzdswFhhNY8vLH2ObxABaczEN5SSrWv9IbKQu+xq/785B7eBN+TlGi5wt/UQSYiqOrf8S8XlrofEfhveQVeJ6cJ0Q+jxVnzmHb7A4UNdujQ+KSj/HmNhnGvbsBp86exJ4vZkG57X089e1BlIlHIT0a0xedQn5BMla/QmY2ZR3WHMknb3oKPlj9B/5c9yxG+NlFlnodiooiEOpv89YrkPDFZGi1WvFvMr5IqO3ZSsL64tYZaVi69ZwQTXBZB/HPjp6YMdgbR395Dyv7vo4vXroHUyfdhqc+fB0zDn9L/SfPk9D53475Hz2NmZNvw5Ovz8HNR9ZiZwofMdohDceg2dMxgCLOtuPvxZNP3oWhg/pidOsD2HOiFFzOMWzY0RJTJp3DuoMXwFWcwvYl7hjXLQyGo7/jpS/D8dpn/8PDM6Zi5lPv4et5Mrzxzlqk1bo9LIGX/zjc7OMOU+lmvLzjIQzf9i4WF9W/jSA1p2Pdya/x0oGfsc7lLWYVOga2Ryh5o5uOvogZez7H6nKSkOUs/kzegSzxKCvJ+CrhZ6zML4TSsz2Gt5qNT/q9jvdDW8P+ES5z0QFsr+DgHTgM07U9MDM0FBJ9ItbklohHXAaSUAxuMxMPtLP+PRg3AK2gR2L6N3g/9QQKZCHoFj4Jz/R6C4s7jEfXuvdmldForVGS3I/hl4T5eCxhBdZknwenSMMnB17C1/m8vuRgzYFHMXz7J1hhk5mkEucyfsdbh97H+3nl4kZ7TMjJ/BK37HoatyYcQTm80CkwHhqKaIYEBkNeuRv/2/Ucbj2yBVQbDEUb8W6uCfFevjRX8nEw+Ss8fOA7LE4/TLLWWC/PV2NEQZEawz96G288MhOTZzyEZ+/rin9+3YkU8XaOY92sQMXhRfjPV+H46Nv5eIR0asYj7+D714aj1HpabSwlKJINwkfvzrMe+/CTuG/YYfy6LY1WGXv6QdJyJkVt9DH3C5j33Alzeoqg+9KWD1KUdRfN2Y40udJgOTgQpi23wVJAs1w7hCLSEdYimgRaLkt+hXn7QJiTj9F3NST+FPnJGls/Rev+fGTnRSJOgOXobJgPzoel1G7NcFnWRKqvm/VedNFCmHffTu1YCksRSVfqAQQ8BZmvN61Te2DePx3mo8vBWZS0Bt1NEbxtppB+ms/Ckv4nLNkJ4ra6VIDLmE9lUPvO8sd4QRJ7N5D5MH0/YT2kaAHtvxvm3EPW7zZs7Scd404+Sf17n4JwUmqfqZCG2GRBbbCchGX/EJj2fi8EwHCnKJsiV1cUpXTFo1+9Ia5VH+C3j8Lx5cvLkGiw2pqiosF4+Z/f8P5LNyP2zO/4z8oe+OyLFzFr6k10/Hy8N+MM3vj1MMoqjuKX//yJ8I8+x/uCfj+Oj76fi/6lDm6LCnbqT0S89j7eepg/9jG8++FzaHk6Aed8B2L2jAHwRgeMn/04nnxgEMIaYVEvw+jaKERxuR5Fuz7Hg7MfwBOf7EK+qRR5acWkIAooa1vB+hSm4sjeIiD7a9zR1h/uXtEY+Sp/aeUcDqQUw7/fNLw6zh/7509B+7A+uPvbfcjzJEOvUMMrwBcefMtJ0XwDA+GrrVtZEc4dOU3/9sGUsd0RHhSBjqNGYQwZ4zNrjiHNNqMjB2Jk/zC4qQPQunUUbTCi0kA7JZ5oOWgsRncJqm3M5Uq4aXOQV8SbTx43tJ31Pc6ePYuzR37GvT5VIGdc3CciCUK/m4bjxKJtOGWowtnNy7Fx/Cj0DarCxeQMJM0fiWB30Wj7D8WrSeeRkS8OfstIBLtZF3GJTxCivR2U7wha6PtMcMOqAynISdyHrePvw3/v7oM9O07gQspxbEVv9GjthpKMFOzv1wudgmzOkwZx3XoiYGcCzpbYL3tKxHgEUG8rkXxhM3abaJZYzmDhxQxa+u2xoDx/Iz7JPoi9FQV0tCvMKKgqJ4lrERMwFNOCe6GNSgauKh+ZDrrIGQ7gk4SXyMh8gE/PHkKG2QedWt2HF/1aiEfwZGBh2hlUSiMwruNN6Kky4lzmRhy6kufLuPPYemohvj5h/fuKHIIzwo4cbEj7ELft/C9eSlqDXWUGtPCbgP+26UtLlB36/ViRnQOzpgce7TUfX7bpiUhJEc5WNfBkpOEUlp3biI2lGThvcTTmRUjIPUUazaG8qkS4FC/XhKA1uZT5eipbGY7BIUMxIyiWFgUTimg8DLiItRlHkGMJQL/4F7Go1wz0c5cjuzyvjpFTIpT0IPzk+xgdwOumN1rPWgBcLK95YMShbppQSjqR1K8PuofZnoZVILjXEJp7DpCSwzIwCCffnoAAXv/d22HW0hSqRi9ceqqhNSTu/J36fFgyvyEHZjG4lHYwbVLCdGAuOLc21HlqiyQK0u7bIR/yG6S+nnS8GyQetK/JIGOUvRCccS+4onPWNkrJAdc0tv4AWlr4e/4k7ZyfyZj+DK6EjO75ZOtuHpdlRYK7uAacnmadz0zI+v4CWXgnWrbOgqP5UF123p/gypaBK7gF5i0qktNQWCpts5Fkm/EaLCkzYMk9Km6rA5cMS+p8KoPal74YFgNNIHkYJMqTND/Fckw5tH8FTfk6D8fZ2q8/BMvFL6h/X4LLy+Z3kJ50sx7DU7IZlrJd5L0doLnNax+5fdI6t87qMrQH2rewHaNGWPc+6Lf3JM4VitrbqS1iPfn9ZqseJv0PI4M9xYAoBENe3YYzGfnQlWYjOakDBncPrV7fJcHdMGZMtPjNDsFOxWNQp0DxsrQEyrbT8eEX96BLg9eRHXMZRtcfHYf2pqVyK376KxHyHiMxiJTwuxdewLxXv8Avu4ugHdsH7X1t3aHI2GgViqW8mJYqEcGA0b89n8fC7Tuxc+cObFn9JxYu/AqvjoqgidQOt3/wB/ZuWYWFX9yFqISv8MSM+ViZpree7xIZlMJTnrnIKbIez1VVWL3tcB+rweaRKqCQORGc2YR69q1FHPoMPYMVu1LJWPBIINf6IigoEJ7FaeB9iPpI4dljDB4oW49NRw5h69KLuPumnvCX8G30xNB3NyKFN9rVf5vx3ijXHl/DuKN1j14o2rwWizcdRp8B7RHXeQBGr12F31ZvRdot/dFBI6UhUEBbqENltVGiiKhCB6OnDzz5e/DVcDCazfR/ObxU5PUK2+TwV9a+98YfV2ks5x9DcYzEHZ7C/XoeEzJy9+OkyQ0x4VPwQJuBiMNZLDm5GnX9b4n7Tfi815v4qVVvKAwnsSLjR3x6MY/2eCDaK9B6kACH/Nz12ErRrofaE3J9ApZeSKetVwBXitM5W/CH+Le0MIMMXWs81PkNLOxxD8ZK8rA3dxleOXUAeSQND48oxIinCkiNSM1agFeP/YwF5/YiyeiFduHT8HS4gwluj6kcBS4bboHRoTG+gDUXU1Epi8Tw1jNwTwQ5k0Xr8XFGMslBSgZrKz4+8iU+PENyKqhAC98BuL/dKIre7SnE7g+fwLN5o/HNYV4nz2DvFzPEfa4RdCq/GGXGmrbVmvf2lO3FhzPfRd64T3BY0P2d+GIKfwmrLqRRQl/J8JCDLKB8iiKq3ynYnUn7RI0znYDlxHswJ71PESAZi/RFMGetse5rEqgNdY0MT6Prp3XQwq+FNGvcbP0kQ0y6Wo3LstaRgd0ACzmf5pM/wnLhFDhlHEX7cyD1CakpWxVsLQPDIIkgo93yZTKYNieIVq6q8+JnJ1DQIVGJcpYHUSTPz1lb2xvA1n65Ly3DfJ3kLMn4K4O0yBisV/AEbMddCqUVdk8J05pUlIt0hwEercu8Hg59F1tS7NfWszj33igECranGEVltuCJsFSgOMdBmCAcWw5dpV3fTToU5FzaE8v21F4zG4UKUeMfwNyhWuyfNxPjHvkDpbEd4IND+PGDH3FIOx5zHx+GMDIqHj5+dPwx/Pbt9/hjxa94739fgo9lBXw7YMzMLsD+rdi0LxXZF4/j77efwMxHluOs0YDMlc+hY+txeG5dIYI69EbfzqRIujLo+J/FSFRwD+YfmFmPH9//CF9vy+SH1I4A9L55Ci0k+/DjR19g4fJf8e4rH+MftMQt03ojogEHhSveg3cndETn6d8jodJOstJojHnqTpjnzcVbq09QpMbXakRJ8mq8P+9bJAkHOUDTFiNobfjxldfwQ84YTOjBR2d+6DysJ06s2YNzshZkuH2hvrAcj3efhw15tePHBpFq4RMjQ0neRWQLyiCBpkN/3JL0FuZ+4ochnYMg9WuLAX224dX/pePmQW3hSY6Jb+eBuOnkUizakEbncDAVH8XCb1Yg8K6BaKeyF5IBJ/NP4oJFgZCwGZgXOQq3hN6BFyMjXCqQyUgGnerx9x+B+4OG4664segmPEnME4Jb2oxDB7keuUXHsDVjA349uRjLyutfSuX0xdAr/RAWPIHqHIVpQaMxuQX/ZHgFMstyrQfZ4E5iQeoJUExGUe4GbGzEOsEvMq0Dh2Ca+De1RUTNZes6+6YJP+8pQb5ZgwD3bri9zTTMDByOu8Na0xwgp6M8E+fEU3lk7uPxco85eDkmDqUlB7G9hP9JHS0KEn6lMEFHzh1oNOIjbsXToR35x0uuDOVQPB/XBm7mfHIW9mJt+gp8dXoTjvBGS9Iad3Scgze7TERnYzI256ahhFfvek9v61Galw+5dzDCQgPhp87Fvs38AzINIbfq1Okl+HUdr1M0HFVpWP/Lopp5b4++FHnn5fAOCUMor/+5R7B5a7q4055d4HJS6V8PSGLeIyOyHNJOcyGNmgipJy3qFVvAlZMxlEdB4kdRsaYb7ZsGaeRgSKS1V4arQqPrP09R335w/CbfuyHr8A+kbZbRcfxVNhGXZflCEv0pZN3fhIzkxRUdIRnyCk6jJzORjEhOQtl3QNZmKaTxn0MWR+cGU/RpbkywYoOi7E7Urpb/QNb1bjK6tKmc2l1BxtokXgr3vhWyjush9arz21zdSlo/6RhZB0jbUxltfoE0hDfg2bBkb7Qe4wJTQUrtn4La88/P+EHQK1qrSk5h5aKVqJw5DF2qAzwb4tp2Yiu20WT0o6DIT52JZY/fhOc2UNTt2x7DbsrEt79uQSa/hnO0jqxfhO838RF5HQQ7lYtfFm0Tj9Uhdelz6DRzIZLJsZR6+JCTXYK8ixeRU1LFu2UNchlGl+aoR3c88u1P+PjeGJxa+Aaefusv2II8nxl3YWYXH1pW1Iid9BjeHBeKlIUv4a6Z/8PWqFG0OIkHSkIx4vn5eHOqDt8/ewemTnsEH2R0x7zfXsTkcE9ETXgSH98XgYNv3YGhAybj2aVumPreHExt40YybYXJ8+ZgXMBBfP/aXHx6JL+O0ZXBZ+ATWPjdHfBa8xpm3/YAXl2qx7h5H2P+ZFIo8SinVBXh/Pl85JZVUoRnL0YZvHs9jB9+H4WstyYgwtdDuPQW0u8rlN/xDJ5y5KQLeCB+2Ej47UiCauYQijJ5g6ZA8Lhn8cPAQ3ggykcoJ3T0OnT8dS71/xJftCANx8B7xyD7xcGIjREfX/dsi0E3dyBndwT6xZDHKQlB91G9AG0v9GtvvSQrCR5N8h6JU3N6wtfdHV6hU/GL99P4+uHudj+7sWIu/wcfnzuFElkYlTcV97fqDo+KXIr6nGMoXIM/KOoxu3XALW1vxW0BEmTobB5uIc5W8BNYjQCfThgcMYIMwlz80Hly/fuixh344OQupJt90Y3qfqDtePRzt9AY/YlPcwvEg2xYkJv7KSZveQwPZKY2ahI4vm8rUmffA8LPe4qwlAzLxlIj/ANG4J521LfgQJLRXnyVvIemYA3m0nVYcP4CzB598UiXx/FkaAAM5Qfw+wXeiJRiW8YOnDaqEBE4AGPDOiDcetrlY7yI80aaDTI/chZ6Y3TkFDzT+zV8Ft4GWnJIfk3Zj/NcMIbEP4L/te+DYMsFbEvdXsdhDED/ux9E52XTEMzrRav/4LBHG/652Qax6tQEpL7Qi3RKC3ffKfhB2hUzHJ3s2xt3vxqDZWMj4U763+rRXfAYVDvmtkLjmPYURXpkkN06kgEaS8aW3KLSNTCf/owWwoUUFS4AVymDJGAC+cZkoGTF4JJfhaVEvAd5NbmU+svegiWZN7xaOnYkpKGtydDmizsJl2WRQU79FhbeKPtMhCz+NkjczGRsf4El/yAZvBdgTlxHZfuR2pJDEhRD+pAMy8nXwYlXGxsFR/WhNcl5JCQ0hqjcT216y/pzoAKqv4DmnCIcEv/uVD8FP7X4gyLx96mNJkh8h1P/OpItKGzkWHBI+2cepi44RW6fA/oH4eIno6xrVcgg/C9nCr54fhiCHARRgh7+0BsHHugILy2/tt2Ofzq+jrcmR0IiCSNb8A5mpv4Xbfg13D0KY36oxKAZ8eLZdgh26jXcnD5PPDYAvb5Q4d3PZqK9UkIy6o97Z1/Ai/3bIGbOOsdXdOpwhQkPyFPPTsO5i2UUABdi03MPY+7mWLyw/hfM7UcDT0fw9+jOJmeh0i0McbHeMBcWoFzuhQAvtbCfv4yWnZaGi2Vy+Me1RJi7ndfCVaE4IxWphWZ4BEchKsi91j1WrqoEucVVkHv4wpd0Q0fKUGZSwzvAC2qhcAuqCtKQnFEGuX804sI8xfOp3fyxZFr86ER+m7UsPdTefqCmCS+b0Ml9HNwvtsJVFSIjNROFVUq0iI5GhLccFQWlgBcZUJmeok49VP62dggnoCSX38+Xb2/2TSjPSkEyRbceES0R68vLhX/TVyEKTNoaOQltFsuvvkRrD/+CjHwUV6nE/tcvQ+ijjqIRsc9W6LjyC0hOzoXJI5zGyK+mzSI1CQ8ogla2xmD+5w2Vp7C1tBJB7hSbVVF0Z/FCO40nqvjP/D3fajzRrkVHxMvLkVSYhDRpEFrLK3C6MhJP97kfg3EYb+39DrvlMRjX8n48ECjBrmOv4ZXC6sfdapAGoHeLNgiXGXCxNAm7KsusRpUigHYainwNWThhqD9dJfIgdFQrkF+RRbFGC7tjgVBNGALqGHmLKQfHqwwIcbCPXH5klGfDaupVCPPsjN5uKlRUncO+kixxe11I5m6t0cvTHwpjGnYWptU+Tmi/DxR29fpZcumz2D+qR2gninG6opACmzC0Vhrt2sG/qSsQHnT+KfUt+LVLT0gufo9Zp47BWzMAD3eehl4SkvPur7GRCpTIyXHyjkGwtJTGJBEnxPGqnfDAphdkEPi5EyRDCXkTXr4ammgN6Wadc8M00DvVXZv+06FxsbSAlpHT4llr3tUkPPAHNNMhITmiigxX8T/idhHpAEi8h9AJNLCFv4Mz8I4Nv70fJFpyZ/T7aBt91/SidmdSgLPLul+AJr1ylPBLGE63jr53o3PIizYm0rw5U3ufcIm5I+DeHhITv/+4UILT+uvB10X9aEFGsZIMKa01cG8HiYFvn63Nrsqiur3HQqKmCFdH55ftELeLyG+isrtRO9NJRn+RiPlbMXX6J/TBtk1JRn4rbXsKskFzSDaHYN7xItVB9eMcuMLF4vE2SP5qcgYUBgeyEmWBztSGifXbX2ss+G1iWfISivDX4Y+fRuH0vd/iPz3tn4zQ4chHN6N/0kM4+2k/lCdnokwegLi4EPHnpY7WS54G1jZTKbKSU4WfH/JlqfVFou5JaS0tgl7lU7NW2441eSAiLgq+9mu4sLYXo0rtXad+xzRhliH+95+7sSWpEBb3Vhg8tC28Gqqd8a/gqmQZknTE870exnBlHg6dP0gGRouuYf3QSX0Bi/e/g++EJ+QZl4rMcxZ+69YPHuVJ2Jx9BvnyNhgV0RYtylbh0cMrkCIe5wiWZej/OdI3a4zutj7WS9XNiZHDitPL0PauoYgS3kxjw87ofjupUVdcrmcu6/KyY2RwbzkAEyZNwqRhzOAyGoBLwKeJ/+CQ3htdI8bj7lZDEK/Iw77kP7CIGdzLxlz6J945k4Bit3YY0/Im3BHVClrdYSw4s8mlwWUw+Gc3hGvI3DWaf2Rox8weVsfg8vAPRqmhdVPWutL5b4Xl02VceyQSwfuzCDeNGE2FRPhBp+UGfo0hg/HvowkjXQbjMiGrwAxu08NxzOAyGNcbLNK9jtE8dpf4iXElVHz6k/iJwWD8f+BarJ2NXWdYpMtgMBgMRjPRREa3mRPINzdcObISj4tJja9GgmP7BMoNoQTaDQGG9kW93/YwGoarQPapY85/gN8M8D/dysnORnaBzsl84X/+lYvs7BwU6JzMKP5nCjlURnYBdI15NWgTc/324VqvRY3od5PJhhNeJnH0qvX1Eso3FSDlaAoKroEuNhpJIDBgDNA9VtxwbbhMo8srjX3S9CqcWfo0+r+9E3Y/875xMCdj6fSZeHtnLinXJSQ4bjR2CZTFLc7xBsbMAm67FbjUl2j8v6cUx7+8Bx279UX/+1fiXHP/JIIrRfLfb+LW7nGIiY1FbER/3PryMpwsrxl1rvw0/n79dnQPiUZsbAwiet2Gl5edQHn1WmZGefI/eP3WPgiJoTJi26LXra9h2ckSJw5b3bnaWPgF9yQ2/fwabu/fF4+vuShuvhZ9uBSu3VrUcL+bWjYVSFjwKPqN+wr7Kq5ccvVpfPmmhAWY3G82vthXLG65DlF2A+64G5g2TNxwbbhMo3uDJ013xaUkOGZcX1iycWTtaYz5mRa53Q+jQwPvV29azCja/hFueSkDgz/bjoyCPJxP+hxjcz7A9JfWIZtf07hcbH/nUbyUPgCfHUpDQUEmkr4fhZxXH8RLa7OERZcr2oF3bnkL6YPfw6GMPBSc34fvx+bi1enzsTbb0U89LneuWlB+aie2FWkQ4m6yJgK5Zn34F9CIfje9bDTocMdn2LXqQfS6zJfvu6bx5cs73IHlu77Fw73Yb6ob4tKT2NdLml4Io38gLMeX4oe89rgl7CxWLVmLHXzyavLmgm1vmKqV2LpuQmEbYjLiBhJkO0y6LiSm34NcdzVytizF7wlytAvMxZbtFyGzHMeyX//G9sOZsARHIagiASsWL8O6HQm4oAxBXLC71ftwllCbFuu9X/2FvGG3Y2IbJXLFBMfh5tNYt2Evkk6fxmnhLxlpRl/EBmogcdlfVwmUg6s9IcWa5fR/OiNqBDB9OjBoEBDjDvi0Anz1wM6NgMcQYEJ/ajstioNmAMOjgbxgYNxgOjULyOHjcX/6Tud39QNOnqMxVAKdbgZm0F+/fkDrtkB78gLDqeZk+8XZ/rgBVLea9qcB8VOAEX3syiciqY0ThgPBJmpLR/rcl9ZoN2DincBQaksrD+B0Cj/EBPUplLbdNpPaTO3vFAXkU7uKDeQGxgG33MRnjgT4pOFTqdzSRLIBXeh4KmvIUDq+PdCGvneIBAo9qY5xQIRd24UyqM2dw4CUMzCOmEwbdUjbuQy/fbsVFwLC4amrgjpChcxNe2vpTHy7QCgb0LEcWQWOLFuCf7YfRpolEC2DKnF8xe9Ysm43Ei/IEBIXDPe6b7KynMPyF15D+ox38M5NbeEuV0DtHYYObRTY/tQfME8Yj87la/DCg1mY8c3LuKmtN+RyN3iHtUYbzR489bUBE26LR/mKt/Bg+gR8885NaOuuhFztg7AOsdBsn4+vzUNwW1c+mb+Iw7kaQXPJVCcpty9iIn2grNVkKcmnG4b0jkDFtr9wptVUTGyV3/x9sFGVhl1rDqHEj2+/FFxBAs29RFQK/aHv5SnYvv406YE/qg7+cVlrES0+WEeLj7tnDrYsXo4ERRytISqY8hOwatEfWLN9PxKzTGgRGQLv6neIW7GkrWyg313hm97QMZcuG0PuGRy9qERUBJXHlSFt+3IsFNYvO70VjxW4JB2uXb5MkM9FyGXJWLNoOTbttkskb8jFyaM5UEWFwVtWcAl1mMUE9J7WdZNvIz/Wa0/CEhEGr5JEoc5Gr+Ei1rWT1pyBtCZOmUTrVw9azmj827ek8mmt2XiC9tGa2JvWiIpQWl/puFByagJpPepPx6STLvHpaT3pvKm0vviU0bZCWrpobZ10FzB+NNCL1syWHYCOnYS10Nh1pLXyBqin2w3CVaIwLR3n83Qoz85AKv8qRFuaml0fYO43KdBEBkCe8DUmzv4Rx/mEAabz2PrWQ5j1exYpWQT8yzbihSn/xZ+pdbM66JGx6V3cOXM6HlpIx0b5w7L/A4y9+wdrOVwOdr39EG7/NoGEE4YA/Tb8t/99+ORwEThzJjbNeQxz7pqFRxccRykdbs7YhDl3zsTk5zbDEhoCbdovmDz9Htx9z5vYywUgTHMG30x8Et8cL6W6S3H8m4cweP5ecFR2IHcQ7414Br8l172IXIRjP72Gn45RnZWFSE9NJRnQ36lN+HL2HHx1uAAWl/3VI3vrh7hz7Oc4Lg9AVIAO2156DK/uqvPifhtRtwDP3Av06Ay0I2M2dBoQZxdjx5LxGzIeeHIuMIYMaHsyyHH8NjJWHULEg+jfgfR9GG3nky+1uh14eCoZ2wjaRccPIGM5kJQruI6XGk/KVX0cKeLQe4AHqZxKMt6DSelmkPEVNIgM3wj6PKQXYMwX2zQRePoZoDsZwJZkJAfeQeeOEooV+vT8g9QnMvaBVHYPUupnnqXtZKRpocMwUt7p9P0+KqMDKXUwKfdTjwJ92tHxNEG6kvMxhIx2K/rMv1O2A32echt9F+XScQwwkvoURPuqE1aYUJadjUK93qq357JRps+opzMN69gszJz8CjZbSH+0qfhp8m249+778dJeI0LD5DjzzX2Y/c2x+mkNC5OxZ3MkxvSKEobAigSK2N4Y2zsV+87koPDUQWxu2R+9bP0Q0CC232D03n0cZ/JycWrPcbQc0wOt7F8goIhCv7EdsHtfMvgX/lXjcK7qkb/rY9x5+/dIImeM17//Y+884KMo2j/+vUvvvUAaafTQe5eOKCAiQhSxY8WGrwULIigKKvpX7KiAgPVFBQMKKiggoEQInYRACJBAQnq/5P7P3l3CJSQhRET0ne/Hk83u7LSdnd88s7vz/PTkGCa8to28yqqqi7+jDJXYl5L47jMsjtc81ZSS+uOb0k/cxazvNC9SFeT9voSbX91NkZ2lS2tEX2TqL269jxsnPcTiPdp0rhFD2o/MueE+PjnuTHC4F3nfP81VD/2XZCsvStoMwLnLXfIX1E052TuWce2HO8imjLTVsxk9fRNIufzzVzP1qlfYkHVm2t/EebVh6/jP9Kej71xOmmcQ/hXbmHv5VHP/mb2DD69dxo5sSe+80jD3+dPWHZXULFjFdX59uDXSl1whfchk6VtipP9p3Q1ipf+pmt0SQe4qfcRQGcg/dqdsyyA+SgwWbd9A6V8CxODQCJD9A6XP6yr9klwrrpU+bZQYOSEivpFdpB+S8F1aYlo7uIGc/wIfFqfp8W+sYrfmNH205sGggHjtWMD1zH7lXjo66TD29uJAx7f5JXESUUXLzA6F1z5Mb5O/w0FElU1kypLtDHuyt1b8apgdZFfG481hSzzRBovT9W3PMrqJdttfTke3W+n/4mpGLdL8VmaQ1edd1k7vjbu0WUP8OomsFVNmPsltMS4SPIi0jjew9cZv+ODW1tJxDMIvZTR3/5DE7W19LQ61YxkX4yEdVlfsto7i7fWHub4OL2z64P5MuV8ukDGHPQsf4s0Rj/HfqyMp2T6/7vI+ZGtxoPwJL40LN12A0QPCuLNrLL+YYrXGH8bIBXcWC/CHN2DpVhGma2GaCFzNa1wio7cV34pld1AagwhanciJ3WRkZisi/9J/xPKNgFmPSaOR8z763hJGQ+o3So7Zimm67QtJe7dZyB3l1kiUcMki8BHSIDv7iIXZAzrKv7lbYLNYm6K5Jk79CDPekn5ZRo8v3G5u+A7bLWXKgvdnwiYR6X7SkCdLXFdIPO9azpVRMj/JaPV3bZF0sXibSE39PA8+lHxMmC0iL0K/+mM4KSPQn6XsYyPl5pCBwwGxpgdJ+ZDOecOvpqjMeBBz1Vj6PvPfM+3WEM+6am3GSFH8/52jjUkzn/I0s25rhz1DaJI2lqFbR/PbBzfTys7IUL80Ot79E/tu70BH67vLUEpRQShBfpabuRK9M54BZRw+lSuWSRkFbYLwqzHtrXf1FMNf8+NchF+RPW2CvM/0HSZscfX0RiJB62MDKw/Wdq8W/c78SZpT7s+YMzpEJNPIyI6ejO3/NitHtWNieD3vCfwdZahEH0Sn4X48t/kgMwaFsv37vQy8qjXxa+JJneBNyoaf8Rs5l0g5z+S8oRF90SAZu5JlT5+nljK9t4/UTQ5bX5zH171mVfUpDImibMBTLNk6kCelbzIj4lx6rnKXNiBMI+vGRBmnkveR2WYCg4ePorlLP2La7RATvPaRVMPacFsqnQRWUdCcm55/nvs7yv1n7IXX4bE8+8thpoy1HLeiYWloYnYOGtqHt+t4RtCc+4oR0kLa7BF47QVpFCXS0Up/N0r21eSI9FNimZMsfcaNYkzUieS1owz0szbAwwukL74Jpkv4xDjpa46C2EMN4fwt3fqoz7F1XQ6FTaFrUEc89Ttd1+Yt/WkfE2a+OaoIkk7C0pHYO+Nm50Sgn7tlpO6Iu4/Fn06DHWrXREaDWxcy7XVvXpw1gdYS3QVzoKw1+SbS0MoPw1ciuNpKB8k/wKGadlSFNKrVsG6jNKA6LOYq5K7N0pwJSEa7aRahjNq0zidHxtDVXlEsE2thrQinxN1VGtcrInRdpNM+laLNpckgQOvaRGi1UWFvUVlNjH+XxltlWcrf+yTPmn+3okzzfhsJHxpmLpN27i2vivCKcE7uJH/LRQuxugHzJf5l38CeJBlLyc1gkOOhIsoDL5dBhVjkRhnZpmmzEJLPH6ROCuR4h4FyTAYD2lT2KRkG/l67+4HqWLeZ8ga0MU8ipFM0y449zm7StgJ98TJZJnqc3T21MXYdaB1rjedyJj+edjSTNmnqSy0dqzVmf7QB+HlpqRaYxK16EAP52VJHzfzwqrVDtiInld1bqzvltovuxCD/XcQnWftHqou/qwzOtOjZD69Vv7E/fR8bf+rK5CdvZ/Tmrew6fogdP+kZ2TXccl2ERvdFLYiJrPQZnceJgxL++aE0cdXCys9vIM/sPkZKRs0ZMKHeclva0192fZ1oNfZ+7st6gY4BnRl++//JID6EcG/rkV8lf6YNhxLexGKp6zwIDPckt1TztV2TP5NGTRrYh1sT1EwOSVqHfpa+UXulTvq81SKsNepebggR3GXwmwxQMs/l/lD6nFwxgJylDxsqFnTvKKkD6RMyap2bqZMLK7p1UK9DYUuYhlC/0/Vz9TbnoMEOta2REe6J73j+3l/o/fpDjArRzM8L6EBZU0HtFXy9iFRlo9PmBVxqllXC5NecXrHCVkalVZ8XaWIqja9YmnxfsZrHi1ChWblizVa7cyS8USzIj14WYZRGuemA3EetIPZWadDS3LeItav5/Y0eJQ1QrEyDhP1ul+VcCxbvNdWxlMkog4MVH8HHH8KnX8KPEt8aK1u/ON8U1MRJye8B6RLDROCvmyAWtuxbKecmWzyfFIlFuzVNjPPmcK+Isq3U5c8S3/m+sFt57f6KNubfij6Dkvlld3q1ajam72Xz9hA6Rvjh36Yzg3ZsZ/dx68/RykjfHc/2Hq2I8A6kTZ827PhlD8erRXKK3ZsT6dExnErbq05qc8pdWkhemRu+7ueYIvtby6DDvkUXRmZt5ofl3/JVz260jW7PZcN38d3HX7P6cG/6aTNU56C+e/PshfRtsHdyZ+DctSRahU1K+oF5wyof3WjYNqDcDn/x9S2nxK4Nt3+wnqQdi3nyKh+2P3InL2w4P0G4FDAayrRVoP8cZZb+1V0G95Vdn4f0g5XbVUgfklOP2HpYC7pYzXIdcBADafxkuEz6vaRV0o+Z5lYaTONE9yyn6Zb9tWJxbF2XQ+EGY4mnQU7XG0GDHWpbUbyfz2a8TPJNT3Bfr0rL4QI6UCYZEo5LQwmCm+6BYVfKv7eJ+FQKcB3kao7gRSA6yGhMmzO7cbQYtpWXOlQszDEiwtLQkrbDT3Fm4TtYU7RF6K98AKbdD63kFvh1m8QrKqh5tNZGqxUyMvxRxFono15X+TtBrM2TNSygWhEr2VQmsVYj/eRvGQu3FTG9TCxut9pEWgR+kFja2hRChqS3WdL5UvK7bq/luIZYHavEyi6TvLlJfgrkJvhB0jlvzsex/3miD2fYnQOJf3Yei3Zq3z1qcSewfM58Nl8xkREtndFHDuLO2F08O2s5O7O1uiwje88XzJnxG1fcOYSW9o5EDoslNn4+sxb9QbY2eDGcZs/yV5ixuQd3joi2WBZW1LxXvbX2d+SMU25DJjuXfsDbAcMZoNVxfVyUMkShr8uRuXNL+o1P5anpX9PisnYE6X1p27cZHz8zj+1X96Gd+7m6s/r7orO7MV86DOrGnrjNHLLxJlDrF46vYGqXGXyvDTitOHe5dX/N9a3EeIK1j49kzBsJODSLofeQwXQPzSMt+1zW29+NDW5eviR/t5EE7bMzaY/xX69AeqU/R4r0bSek7IF94Y4bpA8RA0N7H6XeJiLhC7T60l48HW8+58p25kMavtKfXtVGBqkykIkXA+GHz8QoEdGtXwDPopGiW4vT9Hqo16GwJUxDOB+n6+dNgx1qn8GwdzWzl2xi1bQ+BFimn/ynxpFZX3nPx4GyJiYrFomVlyPWZTcZXU2CHjJaO66Jaj38/hXsyQKvDmKZSoNrL7WcXjl2zJBtbSJNrJrITjBgBNw2Gx6LtbKGNSSNlSswfQfSS0Z1D94sDVhuis3SyI5oDVM67A3rpZFqAwcZMHxn/fy0PsQK1SzcPSLyMWKVam8wtxbrfbfk+Ruxps9COqejYhUbJW++0dBTLPOx98JzT0FzqYtKsjbCLu11D2mLW8XKrZrmPj/+ujZmR+Dwx1j+qAPvDw61tIsxvGmcxDszriRcG8hI2xg+awGPOi5mcJCntCdPgga8j/HuucwYE2maTtMFDmPW8ntwfP9qgmQU7uIRwoA3K7j7nUcYE17LhF3Ne/VkE2l/c7hy32Pm9ucRyuBFHsx9+1a6Vg3M6uJilEFfjyNzT9r174cXPbm6d6h0XvYEd+nLZUQxsncL7Qv2c3J+fZEdTUY+zMJ+vzOlmZe5LMPX0G7JdMaE1JC/BpT7L7m+lUjcw6Y9TLuVNxCsnec5gPlON3Bb/7Oeyl5iyEBj5O08zv/RJ8BdytuLJ44GM+rP+u+r2AmLpK/KlX6uixgesVeLHSF9YmHVFFYtSD/7jci9Zn/EaOdcJd1J+pkZs9Op5v7OXkS5oxgJA0WUZ74MY6yEuQH8ibWXtY/uK52mu2Nb2FDH1nU7SzeFabCD7JrxaOGyMLj4WDkeLiAz04BLlVP7mmG09CodF2vPPupyqC11XXWeDGwqHRzbFpGZkafJQhU6p0pHxucob50OlM88gzmzfqjcbNpLSFpD3LlVBmS+pnesOHRUGoBshEp3kyZWsfWUtWZJduoiDS1PRmXxEi5YLFIR0mNR8KKIlk4s18fmy/GWMHGqNCLJ3Jv/gd9qPNfTeUgD7CiCJ/lK+k0E1+rj9+a3w38Gy6jyS3h2uVadZhxq5km6kybhUiARXC3PpnBSpmiJN0Qs06MJYmlL4zYh+8PCZDR5QkaqWl5EWG+dI2Kr5W+6WMmSj95SL9fJgGHbG/DWz+bT9BLXcw/LQEMs3JnPSDnPdNln1kStef1raTMmGtrGammvWpuTbHtIo6ntaZrpvslOJTlZLMW67gNjMdkpySSfLsctNIpIn7MdYxuLT5OivY1cm1Pts7C+Vy33Qn1OuauhnVvDofdfWQbjUb6646FaHJlbqHlPays3nSzA1sf7TP/Q2D7krP6iksp+wVBnWapoQLkbXTe1oK0MdqrEAT9LWY3FGSSd5eTdmvNrwzbW8Z9VP9q5ln7L2UDOqRIc/LRj53+fmPOdSpFTsFwPT8pPF2DjLXGV10yztrjr6Tsdmko/GCMb0p9s3wfezWRb+poT0h58pE/ylP6pqk+y4Ka9MBUpnX6SnCNCGxoqNkiK9FW3wb29LP2O9IXNBsF910vfI33yQy9T+ErD1l5WDg8uYf6SRbv1XeGFB0WAxXrUnu1miZXZr780PmlcM8V6PNbQpykirPc/J4Isd8LHct4Pxyz7LzRiX974PPQV8U3YBHtPm6ejW8vfXz8LXx2UMJKHfo/B5PZiQS+Cl2SEa4VyePAPojSRuI+O1OLIXKFoOH9J39nmLnhQ+p40saK37pVE2sCAttJn/lf6zuXK4YGiDipkhPauWKY5YoleNhbGap/vyMjvy8XnIbiCV09oKcJ3+nf46a8SXA2xzpe/I4IrI9MYGVmOvwZaiDW8XRr6mkq37GLF99QeBchAYvV68y7FPxP7qDocmSsUfzO7l8B//5C+TyznURNgcCsxmsXKXfatJUDDUJbuJcxfMlqrQjo1bXpFm3I+52dGlwimaWuxfFOSMa0W00CUpatQ/G/x1/ad2iMwy5Rz5pmvThrazyjRVSgUCoXiInHeovvXjiAuHsr6UdTFv6WN/92oe0yhOBv1TFehUCgUiouEEl2FQqFQKC4SSnQvNIZMEuP3kFpw1iKfdaJ9a5eelkZaZgF1LTNy7jDa95QnSUtLJ7OgnsVKtPz9kUimttrNJUMpmYm7SMz804u//YXYQ+vLYGCvGouIKBQKRcNRonuhyfiFF/o8yOcHLOsCV2LIYO+6j5h5fT+Cp8Zp60KJkuZy8JvnuLZLNBGRkUSG9uHap75kr7YcWiUNCGPM3883s66nS9NwIiMjCO1+HU99uYf8WnTVkLCYMb1vY8EWq0Uu/m4Mu1k8pjsjF2zT1uC6RPGEEZPhumsh5BzLcCoUCkUdKNG9WOQf4Mf1Gbg39SCrqFSs1XKyNsxn/BMpDHh9AymZpzi2+w0uT3+ZCU+sMa2+qC1ifs4wxpNsePEenjjSl9d/P0xm5lF2vz+M9Gfu4InVqdUWWtGwjZnEio3vcld3EZFLBds2TFqxhVV3ddU8VioUCsW/lsa9vax5zx91NURpPi/ENtn2NWzIgpFXikEgFtQ3KyBXW7DSCfpJuFBb2L4afAdDk1OwywWGtAUbsQb/WAnrNJ+pGtLl9hwL3SPkmAFSt8FXa6HY0RxPk9OwVdIb1hNOxMkxOa/9GLispTl8ptiP2sxq1iH5X2g9eVlB4Z3ztQQtGDHkJLLx23XEp5dg792Wy0b1o5WnHcbMBNZsK6dlizw2x20nvcydyMtGMqKdv3mZP8NJdsat4kfNLZprOH07F/Fmnw9p88sX3N9Rc2FnjYG0rx4kcuUgkt5uw4+x17B08Md8afILqWGk7OBiru+9iiHrP+TWFsdYdo4wNzuuILb7Nwxe/x63tqqUrEIOfnQ3vZf0Zv3qW2ll7Ryn+DAb154gaHAPmjlWUHB4E19/K+UqdSCg4zBG9QvHpdrsqYHMhPVsM4YRcfwX4vblYBfYjVFjOmC75ztW/pxMgYuU+4rhdArULMC66rKc1K0/scuuA4M7BkrdSbi0P1j7m4G2w1pj2LqRY0G96R1WRMKaHRhbBHD8h5/Yl2dLYLeRjOlqx55vVvFzShEuoT25YlQnAm3LzXmjPcNifM3Ly1mVL6xgl+natYg4yQ9xe8izC6LbqMvparuPb1ZuJqXAidC+IxnVScvPGcxvL0tszaS9Du8KLjI2TdsvFu5IiJbrPOcRKO0LfeU+2L4dWg+CpumwMhN6hUDCN7BD8+6iLZwu94TrUfhM83pkX0d7jYdV0tat8ekOVw0ED7nqxcfk+KdwWs67siNkW4XXR8M1A2TgIulvK4JuARB/EHrIuZ5y4TMk7CffShzabS5lCuovcfSSMkmJC47A6i/hcJ4lHjl2SspT1FruQYnnu3cgXbYr81Eg5csvk0ss+dYWRBnQvu68fPkNhS9+YN6vUCiqaISl6wbXac6ALd7zm3WCydNE0GS/VzsYOE6OaU7EBVvpIMZIR9VTOqLj8rfJU/8t8OB4Oa+ZdFZdIPZ+OVdzkyWieMWjcOsoaCGCGdLqTFi9xH2Wl385p/n1cJekp4Vv2lw6QQnTTzrJJiLS9eYl17yvkqIdvHP9eJ7/tZSAZn4Yf3+JIVOWcbDMSHnKOqbdEMvoO5eT5hmEf8U25l4+lXd2ShyGY/w0ZwqXv7ET24Bg/Et+4okbZ7HREm29nD7I5h/CGNG9mUVMNXTYRfbg8h7JbDkgHdw5w6Rzet9v/BDVh+7NrW1EZyJ7D6DHpp0cqOENhewdfHjtMnZkl2NMW8P00TPZTBPC/XNYPfV2XthwUuTQmhJS1s3lhtjreeSHYoKCHTj84W1MuOUWbn5iE8agpjgfeI9Rt33ATs3JQJ11aY+v23EWjnuOFUdlsFWWyGeP3svCNCd87bLY8eFMPtwhA7fyo6ybNpnYMU/zQ4U/wS7JfDjmOm656Xae+LVM0rflwDu3cts7Oyiy5G3auqNn3GRala/y2o155AcqJJ8uhxcxZsLN3HTzc/xqlLidD/DOqPvN17ImzaTdPSTtr2sHaadaW7pGBNeqjiNl4HfZFXD/dBjRG9pK+4vW9g2BGK09a8i//eTvQbJfu4B1ttcasw62nWHavdJWRfACgkSoh8l9cI8ItQweY0TUrrpO4rLkpZ3mE1ni0ZxRBGvpy/3z4EPQRQQwSga2/SbBHXK+hlamR++QMsm9FSB56Cr3w0MPy3659+wk/KChMEH+1u7BmBjJl+TjAUm3Mh+dRJQvk/Sby3aZpFdfXhrpcEKh+LfTCNH1hwhfGe3KSP7LV+DZ1+EHbaQro+rvfhEhkhF058tEQ6WX6ScWgLZmecIG6QwrXTWICPws590vHdp7v8nf0uFoHVulp//crWZhfUCsCa0zjJSbuLvVwueal/83Z8OHm2RUL4JqexL+b6p0UvPEGpFReKnmG1as5wblxUxFZg42g59i7ux7mDgmlrsevplBK1exPtHyXLagOTc9/zwPxI6TMcITPHb1YZb8kkze9mX8560Q5r/7PHdPHMfEu1/k/ZmDTU4qzomhlKKCUIL8angr0TvjGVBmdmTdgDAlpWUUtAnCz9qaFfSungTU5nDciopTh9ma2YKeg4cxMvYhXl7yKL28a28SBQGTmTlrCuPGTWHGkxM5tQLGvvQ0t40bz21PTOOmPSv4YV9hPXVZgmOr8TzzWC6z533BD0vn8UThzTxzfRvN39FZBEx5mlm3jWfcbY/y5L02rMgZzUuztfRFfB8bzZ4FYgXXGE/USkErpsx80pzPGY9y76nfyBn7LLNNcf+Hx25KZcEPSSaD8wzSxsdoy2OWStt+SUToWpglFmFtLrxKDsHSV2H2WyaHSHUjpayzvYoVbI23CKCvXHPNSn3jCXjnM9gq1rL7Abl3JD2dWKEDRawR8RukDSpPwwYrL0+n5B55QBuwiqWqOZTSnGVoq3mZyiQDm/dl0Pwfucc+EqvWWe65K3qYz9OwKRQrdjG89CyckIFBE7mHfp4v4e+TupA8aBGu/hhO7mhYXhQKRTUaIbpy4639XSwSudkmz4JnbpQRttyYKWlyI/4kopYtnYNYBv1klNwzSsQ53SLKlWhTxAnyr3RgGZaXefyD5Z61ePp3lw7iJbmp35MbvZ1mAbiK8MoNbSLHysu/3PxZebJPjnfTRthiebuL8uTIYEDrQRuUFzP6oA70C9nDC8Oj0dzzubaYzOeSVr7mb9REKOFNLKN5nQeB4Z7klpaQcyKF3b170iW4UjbsaNL9MiQ3DaQWUTQ5tLejmZ+7NowRGhDm8CmyxLiwpiI/W84MwM/rjI1cE5tWo3n+vixmd4ymw/A7efUXA5HhXuZp2ppENMXPXjuiw97ZRUrqK3FbBgPO7viIsaRRf1260ur6B7jt4FNc+XApT82eQKta3wT2JCLI2+I71B5nNwexnnzxMq3Hq5fkPLV5kQYSJIMWy4tP9s642TkRKPVmrhVH3H1qc9jXRP5zkTZ+GL6SQaBR2mryD3DozJJvZqRMu1fDuo0NWEpTLlB97dWaUzJg/F3uJ18Rw6f+D67rJWIt9016vrRfyUeB1EOHgXJfiIXd3E3Cizj/nmk5WdLZJ3nWBghFsk+zOG18pAmHmcuEbN8ig4T35R6b3En+lrhCROQryd8Ny76BPUlyf0qaBjkeKvkYeLmkJ/ejUYaUadrrbtImz5kXhUJRk0aIrnQUx76D10QUv1gF++UGbC7W5M2j5ViGWJhivRpFoC6/FTT/j8nSgRzQbtJKpFMoq25pmqj09J8h52tO1bXf19/Cj3GwJcV8rJqXfwmveckpljT6iiUyXm58NKvhC5OeNywvGhXkbXqD2IdPMfKdn0hKSiLp1wVcZTlaNzps7e1wkYFDXpkpQRNmsWsA/q3oMyiZX3anV5vONabvZfP2EDpGeDUgjB/+bTozaMd2dh+3/tymjPTd8Wzv0YoIb7N014ahxJGWt7/Nr0mbWPrkKHy2P8u4F37GMhRqBOXnqEsjZSf2sjUplL7tU9m+5+RZevNnMRrK+PMfHkmutE+q9CJSlYKtPVZxqVmXEia/nnkNW3erz4vO1V6tsJcSrHsX3hRLdbW02UIRu76xYpGK5VkkVuRWEWQ72b5XhNBWBgI/a8+LLedqGGqrVUuZjDI40PwZa/fXp2K9/yjnrpE0KikWYa88/aTk94AMbsP6i/BPkIGX7Fsp5yZbZoAakheFQlGN8xddfVu450mYerWMcvfBNhkRazeZjcWiOiAieVCEzVU6HJ103z+IxdkQKj39e4bKYFxsHLtAsVCHSmfTUjqd2rpRCXfLGOnU5JwkOfcnSVfrSA5adYINyouRktxMjtl60TS4qRhUdpzc8jPnzrUtPh36MXb/pyxZc9hkWBiLD/PdomWss4SoF304w+4cSPyz81i0M1P6OSOG7ASWz5nP5ismMqKlDBYaEEYfOYg7Y3fx7Kzl7MzWBi5lZO/5gjkzfuOKO4fQ0mSd1oaBjLUziRnzFjscwmjXexBDu4eSmJajDW0ayTnqsiyRz595G2a8zaevTeTEg3P4LLmm9Xg+2ODm5UvydxtJ0D6hMmQS//UK5Kr/SZIh4bi0mSC46R4YdqX8e5uIzzk+FcoVwdIGpR1GwqAr4EYZiFY5hm9Ae60kahw8KvfYKGn7B0T4knNkp8Rjayv/Snte9aPUpaTjJm2kQCzTH8QiPycSxlQmEfBIP/lb7jHNReJlYnG71SbScj8Puglai2WeIYODzWLVfin5XbfXclyj7rwYCrNYvT6x1s/WFIr/Zc5fdCt2wH83iVEjHdIND4mF21duulS5+SqfS8n2BsvbyKfE0twiFmdDMHn6/wbypFMYLqP68cOlwxKh/FJG1rW6nJN407UHVo7SiXSCASPgttnwmJxbZV00JC82+PSJ5ZkOK7i8iTsuHt24Z7s9/TWH8edA12Q4Mz6+kuTHuuPj6oKrz1Us1HdiYgPO1Tq1wOGPsfxRB94fHIqHiyseQWN40ziJd2ZcSbhpKrUBYXTBDJ+1gEcdFzM4yBMXF0+CBryP8e65zBgTaZlGrQ1bAofdxRvt1nBVsHaeH13m63nutj4EWEKcPzIQqbMuC0n+/CWeKJzEI1dF4256vlvEE898RbLVTMH54UjkyNt5nP+jT4CWXi+eOBrMqAbVf32ImKxYJIInYhfUTdriJOghA7fjmqjWw+9fwZ4s8OoAsTdAe7k+6ZVttyHt1cKer0XkpO0G9ZPB7SPQUwqUJuK7VsRPI2sj7NLmI0Qst8p916CXlmRwo1m4e0TkY8QqvU7SbS3W+27J8zcHLGGskQHcUbGKjZI332jJg1jmY++F556C5lIXldSal3IOpe7nhqkf83tOjeceCsX/OI13eODWTEbKLUQX5IaLl5F7nmV6WPvs5/rnZATtBV9Lp/JV5Q0tN29NT/06D4gQ8S48JlauNpoXHKTL196cdJaOb3e8xXVSLefa9oIXpRPQbZOOaz64iFUwcSp0lLBv/gd+0+KrKy+SZM3F2A25pB5M5hS+REf7o8vJAw8vXKQDzsw04OLvYekbxdosyCIHd3y0zy60v/OPc/CgdKp+4UQHO1OSKR2bdq6t6YRqaCtLnSpxwM/DUSuVUEFxdirJyWLJuoUQHel7Vh/coDDGYrJTkkk+XY5baBSRPpXx10DC5ZwqwcHPUh75OzMpkZQ8W/yiowh21cpkjVbe02QaXPCvzLOhoEadGCiwLnOtdemBjcRTIFawud600yrjkc4/N4sSBy88tM+YMrMwuPjItjYmrCN9ubwePi6mT32MxRkkHUylyClY6saT8tMF2HhL3spry2fNuK2vpZkzDg+czC8haSK+cyuU+JresTK1QXvNzaAMENPEKq5q+4JmSXbqIu1Ryhwv7dc+WAaPItbHohrQXq2R4VKQ3Act5H7ISYTtIriVd6q+o4jfwyLuYlXOfEbitjxyMbk+tM6TxNFE7htnuYcq7xutTNFyfojcG0cTxNKufBgi+8PCoPSE5V4UYb11joitlr/pYiVL/fSWerlOBgzb3oC3fjafVldeKgwcfe49vKvauUKh0LjwXoach8LcW2RjF0wXoavxpvAFQ98VXnhQOjQZjWvPyrKk4+7XX4RZLISZMhrXrON68qI8oCjq4pxtvDE0pL02CJGwfo/B5PZitYo1/tIqy/4LjSvc+Dz0FfFN2AR7T5uno1vL318/KwNYzequPy/qHlMozub8p5frRaLr2xvEWmHb6r9OcDUqfoN3vxQrQEb2l42FsdrnENpH+YstHdhFzItCcS7O2V4biljOPZvLvyLeq9ebd/0liHW+/B0RXG06ehCMv0asbrGGt/8X1ojlbeJi5UWh+Pfw73Bir9OZRg8V2qcdCsWlzj+uverQmTNcNcOtUCgah3Yr/fORzksJruIfwz+uvYrYKsFVKC4I/w7RVSgUCoXiH4ASXYVCoVAoLhJKdBUKhUKhuEgo0VUoFAqF4iKhRFehUCgUiouEEl2FQqFQKC4SSnQVCoVCobhIKNFVKBQKheIioURXoVAoFIqLhBJdhUKhUCguEkp0FQqFQqG4SCjRVSgUCoXiIqFEV6FQKBSKi4QSXYVCoVAoLhJKdBUKhUKhuEgo0VUoFAqF4iKhRFehUCgUiouErqCgwGjZVvwNjNpyn2VLcT583f1Vy5ZCoVD8c1CWrkKhUCgUFwkluv9YAhgcMoGHIobQw0Zn2ddYHGjtP1biuoLB9naWfWfQ2Xfm1ojreKBJK1wt++qm/rgUCoXif5l/jegai3NIT0sjPaeYv3e+vILinJOkpZ0kp7jCsu/80dkG0t41io6uIQTpa4qqGz0j72RaVF/a6dJJKG9oiXU424dInBKvsw/Olr1QypFiJ9qFjGJa+/H0tE5P344H29/MhJBo9AWp5Ft21009cZ0XDgQ5R0peI2lt72DZp1AoFP9sGiG65WTEPYS/iwsulb+2o7jv1W/YmVFqCXMBMWSwd91HzLy+H8FT48iw7D5DCWnrX+baLtFEREYS0bQn1879iTSDJkQniJvaEf9rF3GwrKYwlZEW9yjtXcawIKEQKRRTgx8iLqO8+nY1aim76WeJw3CM9XMn0aVpOJGR4TTtMom5649hsJzdIPTNiW35BF/0fpaXuj7C3K5P8WGfWbwQ1AIXSxAb15HcEdwU8jfxVnICBZb99aGz7ybi+Tyf9X5K4pR4uz/Hp90fYKp3gEixkYLcz5l3OAWjax/uDm+NjeksRzqFXsUQMW+PpX7JW7l5OPpPZdVl77K6+2T6V1nY9rRt9gzfX/YKL/h71hrXuc/zsuyzI9h7Iq/1eIkPuz8qeX2U13rP4+OY8QxRlrNCofiH0wjRNWIoLaPgqgX8mpREUtJBdn/2CH3zljHphlfZmHFeEnNu8g/w4/oM3Jt6kFVUepaAGU/9wPPXfUfLeVvJzBdrd9cMwpf+hxmrUiWn5ZQWSV5XfsTiTaeqWcDGrI0seHwhiRRTqgm0oZSirLKzt6tRs+yVv/eZ3MqeU9+/ynXfNGfevlPk55xg1+wwll43l1Unyiznn4sgxreZwk1NQrAv3s/6lJ9YfWw/J/Glc/PbeMrfX8J4MSy0i1i/+ew4sprNFTXzWAu23ZnecTKXe7uQc/p31qasZ216KqWOrRkVcw+PeHpIoBISUn9ge6mewKaDuEITRptOXB3UFFvDfr48bBZ3vc7WJKK2zj24M7KzZbpZh52Njfxfj51Oa1Jnx9Ww8/T4ek/ihZiBtLLPZe+JjcSlbGRLTik+vkN4qGOslWArFArFP4/GTy87eeIXGEhgYFOaterNuEdn82TIFzz16R5KjRkkrF5HQtpxdn7zAa99nkBeZgKrVyeQWaURBRze+B0bD1vsNMNp9q79mAXz5/Pqe8v46quv5CdxlHfjrpn3MaF3uDlcDSrSktmW1Yx2bYNwlI7dNXwwd77+DGMinCwhbAgLP8HCBatJrLJ2C0n8+iMWlvkTZtlzXlSVvfLng4ttKWnJB8gKb0PbYGd0tu6ED7ud19+8kgh7sSXz9/LNW8vYmFZiieRs7D2Hc42vu2RvI89te4lnkz5m3oGXmLJnB/l4iNXZh+a6lvT2kTCl+/n+VKblzPpwpHPYFfR31pN+9H1u2/EWc5KWMGfPLG5I2Ea2PpBB0cOI0YKWJ/BjZq4oYzN6+Xjj4NWBGHvIO7WZuLOmsG3xDRrL/SbBroUacZ2hnvN0rZgc3ZUAfTrrdjzP1H0f8lLSh0zfLlb/idPYOHfn5pBoEWmFQqH4Z9J40a2JbRBdBrTh19XxpJQdZd20e5l242TuWbyTXOmvy1PWMW3aOlKqZmyz2PHhTD7ckSXbRSR/9jhXzNuJXXAofqe/46nYF1iZXGQOWg82Ub24fuAGnp3+Cp+tTyA134FmvUcwPMbX0jm70WvqA9x8YHGVtWvM2sri+anc/PAd9DKFOU+KsjmVlkaa5Wd+juxEVJ/hDIybx/S5n7I+IZV82zB6XzmIGB9bSfMAcW+vYNvxuspkT3PPUDwpJfn4T2yqsmCN5Gcs5sFtLzBt1/ccdIkg3FZHef4hfq/SweZM7fomay97t9rv+67jaUsovb2lLoyp/Hh0l9VUtMR7ejO/FZWjc4mmu4Ot7MtjU9YJDDgT4hZEa4+mslXC0ZwUyVV1yguOc6zCj/4tr2aAeS66BtZxaRa6mXrPc2pDe2dbKnK2siwnz7JTI5u1x/dwGjuaeLeUEikUCsU/kwsnuhKVo7MLHMoiz/T+UAZZfWaw8pNXeOKamPrfei1PZt3CXVw97SFuGzeW2AenclO4C9G9+pkEq16c2nP7B8uZ2ek4H9w9iBYRw5jyxjqSC848j9UF9GfS/cEWa9di5TafxKSBIY2zmv57Fz0iI4m0/CKmrSFdYnJqdzMfrJ1Op2NLuLtHCyIG3sMba5PQvoTWh4xmQfwn3N/J0xJJTSqnWg3kl9Z8SpvHofxEdhTnmQYNGsYKg8hhJaXkFGdwsrDGrzifYrH07bSXmYxF5JTVnJw/TlKBxKJzwsPOrIBFRZnkyDkejr4yDNAwYpC0amIs2shrh49gcOrKHZGdZMhxNtZxVb4KVe95ejuxg6GiLI9T5j1VGPNTRKy1IG5Y280KhULxT+ICiq50zmViD0V44WaK1Z/2MWG4N0TVbHxp1lHPrl0HySguJf/QfvZme+Pt1pAXZ3TY+rZj9H3zWfXbHnZ8M4WAVdO4+93tVm/aOhM9/h6mnfyYRSu+ZJFm5d41nKjGvpdT45nuoXnDCDAdsMe33ZXc9+oKfkvZwTf3+rHqxsd4Nz7bdLRh2OJqX/nKVENJZeXBhczd/X6134sHfybJEsIsrDUHMD40cdSktZTCcvOb1vaSthMVlJYXy//ro4y9KZ/yda4B36AxXO/uaNl/htrjOvd5mrD6WbarcPTDV9qVsbyoQS+OKRQKxaXIhRNdYxq/r91Omz4tadqQWI3llJVWdsU+dB45mBPThxLm40VAn/dxnPskE1rWZj9ZU0pq3HNMmbueDDEBdWJRRXW/ittv7s76T7eRbP3ysVM7rr2/FR/cOIW3NSu3l1/jrFyNGs90Azwc0RlTiHv6AeauT5Phh1j9PlF0H3cTNw/aw6e/plDzPeizKWF31lGxae0J8etIc8teDRvXsbzR/XmWtBlCqFiB+VJWGwcvgi3HIZob22tvOlf/vdR+FB04ym9Z2Rh1gfRscuYNaG2w4uLRg+6uthgLk9harL3sZUugkxeOktusolOcLC0SsbTD07GO57bGA7yz7yeOVHjT/KxntNZxZYrUWlHXeQV72VNSjt6tPaPdrOdG3OjVtB1NMJCetf/MQEKhUCj+Yfx50TUUkHF4J2vfnM1TmwcwfWJ7q+8/z6B38yIieRMbEkQApAvOjo/j07hc0zFj2hqembqcJg/+H0uXLueLlW/xzFWtcT2nKtrhE+jKgVcXsyIh0/Rms7H4GLt2HsaraziB1UpnR5OhN/L4wP7cYbJyGy25taPzJNArmVcXfktCtiYxFRSn7mVnsjtdw33RG9KIX72RxPy65bf0dByfZ+Zh6zGcOZ3uYmrQECaH3cIrbQfTwtmVgtxEjpbsY1dBGTrXVvQzPYfVSGdb6k/EpVT/fZuaIJKbz4Yja9lZak9Y+G38X+vrubXJMG6Luo8FMb3FQs9ia9Iay/PhQAb4BEijyOJA1jFSTh/khPYJj0/bOl84Ky9YyfzDR6qLqgnruNIs+85Q63nGBBYd2ku+PpQr20/jucjRxDYZw6NtHuaRkAAZl+xk2ZG9DRjAKBQKxaVJ40V3aSyR2jeqHv6EtZnMm0e68drKGYwKOXu6UEMfOZxHHi9jdp8gXF08af7EfpqPMk/K6gJa06ejHSnb1rFy5XLm39yT5kMf5bOD55pI1OHUYTIL5nqwaHAoHpIfV59uTNs3lI8fG4hfTV116sBd33zLzP7+DbBy3yc20uPsb3E1Kste7ZgtHW6dxVzPZQwO8pR9bvi0fIx9Vz7HY0OaUJEsA4sbnuCj30+b46iVFD7e9TYfZ+Tg7NGRUc3HMymiB60dikg6upRnjybLgOUwq9NSKdMFc1lIW4vlepoNx5bzUtLH1X4vH9tp+q7ZWLKOp3b8ly35ekIC+jOh5TiuDWlDU47x0563eC7D/PWzjVt/hng5UZazlS9zCzEWbOPnnGL0Ht2Y6OFmCnM2JSSYpouLLX+bqRnX2dR2Xhkpae/zzP7tnNA3oVvoFdzcciSD/aWd5P7KO38sYpWh/klvhUKhuJRplMMDbfWnk9lFIgAaepw8ffFwtNZvAwWZWRhcfKrvNxaTmZRISpEzodFheJTnUmDjgWvyQoZfcZhHtj3DYG8bCZfB+qfHcrf3q/xxf0fTyzVamqdKHPDTpnLNsVkhVmV2KsnJmRQ7+hMd3RRXWy2UtjpUFiUOXjXyZ0Hyk3OyAFsfb1xsSsg5VYKDnweOaPuzKapWM3a4+XrjbMi1Knsl5mMuWpoSZ3ZKMsmnS3H0Cyc62N2Uf3OdFGDjLfFbFaB2hwe2+Di1oLu7Py7GHBKzdxNfavWpkb4dD3WewgjnNL7e/gqv5Z17nSgzDgS5tqGLi7voWyq/ZSdxrPItaV1z7ux0L1e75/FT/AvMys7RduLiHsuCjv3xz1/LE/Gf8TvetHb2FLM8lT1WedJW0GrnaEdGYSrHjNFnx6X3Ofd51t8c633p6NnS9Nw9q2Afm/IzsJZu5fBAoVD8E7kkvAxVJC8jtu9Ken7yDNdGukJREv+d8Qjrh3/I0olRF2AO/NKlcV6GRAxdR/Nih+FElm3m+d8Wsb7BS0HWhiOdmj3Cc+GeJCW+zX+O7rN6WcmVTiF38XRUGHlH3+eOROsX1GqjvrguHEp0FQrFP5FLw7WfMZeDK99m1gtv8Xm89vyvOSMfe5bZ948g2rXWj0D/NSjXfo1Dia5Cofgncon5061jWlqhUCgUin8Byom9QqFQKBQXCSW6lxBqqvnioKamFQrF34Waw1UoFAqF4iKhLN1LiEvd0rVx7stdTULNazKXpxB35Gf2XLTWo8fXcxg3+HibPhkzFiewyPId8vmiLF2FQvF38Q+ydLVvbk+SlnaSnOJzLJCgfX+bnkZaeg7Ff/eQ4lLKS524EeEaRUfXSFrbV7om0LAjyL0n1wR0orVeh4NbV0aGDmCE9gvrSpuzP5i+QNji4xheIz92hPj05nJL+pcHxxBiOWKm8hwph7NPtVXRdPatGB3Qj8GaQw6FQqH4G2mE6JaTEfcQ/tYrMrUdxX2vfsPOjJoO4C4Qxhz2LnuYodHhREaG07TLJOauP2Za9rE6RgxpPzH32p40jYgkMiKaLte+zHqTD1tLvv1v4qODZ6+QZEz7lvvbB9NrwU4JeYK4qUOYGndCjlhv1yAjjqn+VvVg+vlb4qgvLw1A35cX+r3L2v7P8qj1+sTO41l02busatOX6mt/eTG6zSusvewNlkR1svLqZHH7128qo8+62q50bHIr7/R+kXdM6zU/ymu95/FxmyvopHkmwp1eYROY0nosI5zNPoe0ejx94mMe3vYRq7Dk0dqdYL8XWBDV07IutA4X506Ms4h2g9C34MaYWXzc83FzfnrO4tWQlrhQwh9HXueh3+I4UG3won2zPJQZnV6wnCPl6P4cn3a/lxtdzbXg5DWCO1vHcrNY6QqFQvF30gjRFTEpLaOgytPOQXZ/9gh985Yx6YZX2ZhxthT+OYwUbnuXyS/aMfWXVHJyTpAwI4C37v+ILWYfgmcwnuD75x/nm5bPsy8zVyzMjcwO/4brZqzmhNGS74JVzF+8lSzrjtt4kg0LXuLdxCxySzW5LKe0qIgi2dZE5sx2DQylFBVMZMGvB6o8DiUlJfDN5NbY1JsXy/n1YotpeWjNybzJ96xFtCzu72z0tjUunh57vbbHnsCQcVZO4i2u/XS2Fld9ldgRGngLT7fsTrjNaXYe20BcyhZ2ynjE3/9KnmrVnzNecKtjKEsnvjCTwso8GjPYaVrv+VfiixyJDonlyZBwkUMHYpqO445qol0fjnQOv57rfN3JOb2J/x7ayJ5SV9pETeJed2eMhjR2FGRVmzHQOQxiZvur6eNhT2bGFlanbGC9tqylczuua38TY+wa0cQVCoXiL6LxPVKVp52mNGvVm3GPzpaO9gue+nQPpdIJJ6xeR0LacXZ+8wGvfZ5AXmYCq1cnkFnVYRZweON3bDxsWa/IcJq9az9mwfz5vPreMr766iv5SRyZhZw8UUTPu8czvLkXtrbuRPTpz8ADe0hMr2FZV2SQvC2X8HatCHa0wdY1imF3PsebYyLOCE6YP2ULP+LrxEpr10hZ4moWLDxBeFhjph+d8fQLqPI4FBgYgI+LyGJ9edEsd6mXRRuP12Ktn43O5Hu2c/0+iatR6SS+HutSF8MNEa0kznTW7ZjDgwcW81LSezz42zK2SrW6+vfjaqdKhwrnwHiKzcnaes/v88j+7ZwW8Qz368nYoGsY76P5D3ahRfB4HmrWl9ZVWbIl2H8SL8VMYrR9ZTr+dPTwRld+iK/2fMQbR5bxwclM2e+Kv1NtHqdc6Rc2mHb2FaQffZ/bE95jXtJink2Yx4L0HNO08qimzSxhFQqF4u/nwpkBtkF0GdCGX1fHk1J2lHXT7mXajZO5Z/FOckVoy1PWMW3aOlKqDMYsdnw4kw93ZMl2EcmfPc4V83ZiFxyK3+nveCr2BVYmF8kxB5qNfpJXb62cMjVSeuo4h7xCCfKp4RDXphl9rm9L3LMzmPvZehJS87Bt1pMrh8fgU9nZ97qDh29OPWPtimBsWryYAzc/wNReddl29VFI9ql00tLSzL/KZ7f15YVsDsQtYfm2Y1R3E1ALxkxS8jXfs2OtrNf6KOVE3imLk/h6hNopiuYONlTkbGVZTp5lp1C+lZd/n8PD297h06LznbWwxc/RzeSw3lBmQ2TTXrRz1q6RKxFN+jEitCPRVaJrg59bC9r7tiDKvnLVsRTe2343gzfMY2mZNovhTBMHbRLdQFF5bXlpSnsPD3TGVH48ustqucks4g7M46Ftc5l1LMWyT6FQKP5+LuDcmx5H7UWVQ1mYZ30zyOozg5WfvMIT18TU3flrlCezbuEurp72ELeNG0vsg1O5KdyF6F79iPGpYW0ZjhD33pc4Pz6e3l41l4h0p93tr7F2ZkeOfTCVHi06MnDKG6xNzhOptqALYeCkSTS3WLtmKzeY+yf1J6Aew7BulnFXj+ZERkaafxFPsiZdE4h68qIPY/SCdXx7f9f660XDeJLVJt+zDbBeTRg4lfqlxUm8JtR1WO+WaeqKsjxOmfdYMJBZnEx8fhqajdkg9JFM7Po8S7u/yAdt2uNakcaGo1/z4rYneDtDm1FIJ27bPSKmr/GVsRmjm8XyUOR4xnhoebNYwZETmOzpbYrOjA5Xz1HE+rljyN/GF5maA4aaWKbOjUXklFUXZdNUdH4yhwznO3BQKBSKv44LKLpGsW5KIcILN1Os/rSPCcO9IUJm40uzjnp27TpIRnEp+Yf2szfbG2+3GpasMYc9H83iwRPXMPuGGGp1cW/rT7vRU3l11RZSdizh3oDvufHuj0REzjz/tYsew6PTspm/6EtWLNKs3MmMiqrNC3BDqPFM99CzDAuwDBQakJeGYLT4njVZr+Hh1KiVszEmW5zEa0I9nOh6rrLezg0/y3bjKSG78BRphansS1/PwviXecHkpagWdOH0D7tMrN5+9PbQhhyVVvAAhvmYXT1qgqs5dHihbS8CyhP5Yu9KtleNmmpB54SHXQOnwhUKheJv5MKJrjGN39dup02fljRtSKzGcspKK8XHh84jB3Ni+lDCfLwI6PM+jnOfZEJLK1k1ZLJz0XSu+yKa91+bTLtaHCEYU+N4esp81msvc+kc8Ynqybjbr2fQ+rX8mmw9ketOh2tvpPsHU7jxbc3K7YZXo6xcjRrPdAPMrvsanpeGUOl7VqxXr1C8LHvro9JJvMEpjCjHWpxGFBzgoNS/3q0tQ5ysXnLSteTODrPEar2HWIcGOpuoSCVu98s8mPAyD+1ZwtLcrDMzCzWp2MRL27Tp65f4vxOaLZ3Jxt0vyd8v8MSRg/K3HcHesbzcYQTNSeLTPxbwbn5dfo1S2aFNjesC6eofIlJdiSOdwqbxcfeZvNDE/B61QqFQXAr8edE1FJBxeCdr35zNU5sHMH1i+2rfSFaid/MiInkTGxKytVeXyI6P49O4XNMxY9oanpm6nCYP/h9Lly7ni5Vv8cxVrXG19KLGgkTinr+dyZs68/6iBxgQaP0t6Rl0Pv54HVjKwhUJZBuk2zcWkrprN8lezQkPrP72rK7JZdz1+Gja3PFnrNy6qT8vRtLif2B9Ym7d4lQT4wGL9Wr520QosW1m82WPe4l1qmn/1uYk3iq84x4WJ++nQB/OuE6PMLvZ5YwPuoYn2t3EaK8AvMqO8ltJLW9snxcGCkzPYt1pE3otDwa1w1fydawwSaz9ZFJMU8IGcgu16WxtKljEMuguXooZQKSdgVM5GbgHjOahyFju9W/G2UOAPNYd+YHdZfZERtzD260mMDnwcu5uPpVHmrUgwLGYg9knLWEVCoXi76fxors0lkjtu1QPf8LaTObNI914beUMRoVU/3q0En3kcB55vIzZfYJwdfGk+RP7aT7KPJ2oC2hNn452pGxbx8qVy5l/c0+aD32Uzw5qr8YUsuujaYybs5oDS+6hb5iX5XvYjmd/O+vUgVsXPIjnonEEebji4upHy2kHuPLj+xjiV3P60Z12dy1l68wBDbBys6W4LWr5FlfjfWIjPc4+Vl9evFNZ88w9TP1oO3VMwtZKpfVaZvkbnQdNpC7dHfxoUtv0ak2hrhYeEo+/wzMHdpFjG0r38Ku4vflQBni7U5izgf/b9S0HLKc1nlzWp/zM/jIHQgP61ljQopQDJ77krT1fEldY+RZ6CJcFt8LH1Crt8fftaV6II/QyRgaEm17QqomxaDWP//ENO0qciAgcxKRWV3FVUDQehsN8v3sh7xf9Rd+OKxQKRSNo1DKQxuIcTmYXWaw0PU6evjVc8dXhos9YTGZSIilFzoRGh+FRnkuBjQeuyQsZfsVhHtn2DIO9xZ4xZrD+6bHc7f0qf9zfAQpOk5FXJTUWakvXjLH4NCnJRzld7IBfdBTBrmZB0vJ9qkT2eThaTUVWoq14lUmBrRc+LnrZzqLEwUviR7YzyC6yNjF12Ln54ONsIOdkNkXVatByTPtsSKg9L0YMBdmmslvnv/oykA4EOQfjL4K/3/RNbCXa6lH+OJamsqe0BJ1tIDG2BSQU5+NkH0wLMehPFqZyrKIyU9pKTSGE6nNN8RRVhT/zcpnONpjenhE0sakgq2Afm/IzLOnpcDbFWUZKfhpFAQ/yZesWFGasZVnaLjadOgS15rEGeh9aO3thZ0hnp1W6Z2PJq21Nm9ZISekxjti2ZoRHRy5v0YPQop94eMvHxFtCaPUS5dGGDo6OlJWl8lt20pk6MKXvTnHxUdOLVWoZSIVC8XdxSay9XJG8jNi+K+n5yTNcG+kKRUn8d8YjrB/+IUsnRl3AB8+XNpf62svOJtFtZXrrmYq9vP3zy3x2fu+E/Qkc6Bj5JHNDLS9bFdYU3YajRFehUPxdXBoOD4y5HFz5NrNeeIvP49NkR3NGPvYss+8fQXQtL0z9W7nURde02IRXoHmhkYo0sXT3csx05GKgLSnZkRFuHqZZCmNZEnGnU6y+zW04SnQVCsXfxSXmZaiOaWmFQqFQKP4FKNd+ilqx36wt33jpUtoz27J1hkc/qfOpskJxUZlz7YX/IkLx70CZkwqFQqFQXCSU6CoUCoVCcZH4k6Jb6Vg+jfSc4no+BamOsSCVXfGJZBqM1batqbbfkEniH2eHueBo6cTvIbXgzy4K0VBKyUzcRWJmY78l/bPn/1kcwX40OrdYdM69LftqoO9d//F68ZMkrpHzJ6CzD7fsu5TQ0zzcgT7BNrV+Q9xYvPzt6RNlR5AtUm+2dI+2p73nOT8mPwd/TV7/frRy2dPa7c/Wj0JxcWik6GoO2rew6MmJdGmqOZaPJKJpd0Y+8jHbG+DIvvzA50zo8xq/ZJRX27bGer8hYTFjet/Ggi1nP8e7oGT8wgt9HuTzA+e7TGMjMexm8RiptwXb6v7G1RpjMTknLV6MNM73/PPievTdC7AdVFrjV4BNxPVyfAi66N+x7fsZNt0+xKbnd9h2/lzEMdB8OvKv7+fY9PrOcnwttl2/tDp+Duz/g77TTmx7fyznL8Kmbzw2Ma+j09e++Mrfgo0dQ/q5Mb67A00tu/48etq0c2V8Xxd6eeiwC3KS+8CNMdF/8i3+vySvfz+BMW7cMcCdKZc5ai1OobjkaZToGvN+443b7mC5bhyLdh8lMz+TY7vf5OrsNxg17UuSyy6sRWobM4kVG9/lru6X9ss9541tGyat2MKqu7rWunTmWaSvYVp4pRcj4XzPPy+SMB77LxVHKn8rqMg6LftlcGQQiQ+cgU1oFOT+SMXeN6hIOwGeI7GJvs18utMT2LS5UkQymYqD71BxLAnc5XjLBnwWpYtFH/Moei93yNkoaX9LRa4Bnf8tEucTlkAKhdwSSUVsOlLC1r2lqAU/Ff8EbKZPnz7Dst1ASkn9Zg7XbxzCB2/dRCc/Z2x1tjh6htCxaxjFP+/CrnMPot31GDISWLXsM+I2bGVXqgHvsKZ42uulg/6VtxZmMei+YTTP31q13dL1zBjAOkxL+wz2/pGOQ7NgPHJ2sWbDCWxtDhK3bAXrNu3llHMQkQEulhFEKRk7V7Ns+bds2LKb1HIvwkK8sK9t9slwkp2rPmV53Hq27ErH3q2I3xb+gf/N19KjiX2N48cp9w4mxNMBnQhPweGNfLFU0t/4B8klPkSEVaYh6Ses5fMvVvGj6ZgHocHeOOrLyUz4kQ0nHXBP/5nln+zGrk2YaNteTjgEEeqRS8KazZx0tePYd5/z6ZoNbNmdiXNoMwKcbTBmJrD6889Z/P1hXFs6k5dmwC/Sg7x9e8zne2pfz9ZMuzJfBnPa6XLB933HshVr2VQVN+TvjWNhXAbBbYJx1VzlCTap94igfonx9OfmX5YnurDRIqI7RWQXoPOdIqJoj/HQfVQcfxNjThS60G7ojCny9wF04c/IcSPGfbeK4L6BMSMRo20kOp0Id0acKY068Z6LTXhzyF6E4fdxkv5yjGki9AGD0Uk74+TXGALutAQ+w9rdBoIinBgeboOh2IaeXZ3p71HBjpMV2LnbM6KbM0OaO9ApyAa7vHJStQkNnQ09OjrR2VkGik2cGNfeke4h0p7zDaRo7py1IM52DO7szPCWDnRrZodPcTlJ+RJeb0u3dg74lpbx694yas7D2LuJddnFhWEtHOgqcToUGDhaOSVhY0OX9s5c2daRHs3sCdKVk5xllJalIzTCkTYeRlL2l7DfyZ4hoTYUnyxh/fGaK5Hoad3amVGS514RDrSQMhyVsprnaXSESF1cJWXrE2lPmFxXjxA7vK3yav8n6qTu/Jupt+x15ltXx/Uz4hfsyFVdnOgb6UA7bx05meVkSWJ6FxuiXHWUFpRzIFtP90bn25J2Mxt0dvaM6uZEL8u1TnWw52qppwHRNesYvJpIvjo70V+OdQrUU5Rp4FQZDG57Tl9giv9RGmHpZrJrw29EXTOAdk7VlUwXOJjpbz/OiGA7DGk/MueG+/jkuDPB4V7kff80Vz3038ZZwdk7+PDaZezILjc7w78hltF3LifNMwj/im3MvXwq7+zUnCeUkPbTK9ww+VOOy7Fwv2y+f+xmHvoi8cx6xZUYjvHTnClc/sZObAOC8S/5iSdunMVGy2Hz8TuZ/Ekqnppj/by1PHbVk3yRXGRy0DB99Ew204Rw/xxWT72dFzac1Cbdydj4Kjdc/z678aNZQCm/Pj+e69/4jTxjCSnr5nLrtFuYdM9i9uRq3ZOVI//ySsf/dzNnSxH+zfyo2Poyl9/wKhszDBiLTnP48DFOkUdaSjLJR05TZLQ6v2ba/gX89OQYJry2rSrtG2IncOdSKU9l3DctZGdRGVkH1vH28u0cr5q3romjCOHV0sFJczn5DcayZIzpa+VfRxHiWeibfYi+pQiyLlus428kfEt0Hj5oy3kaHR7CpvsRbHq+Jo3tFyr2/QdjvU0gFJ13tPxbgvGUlThXxEl0muffAHRebc37zkJHuHScfdu7cecod4ZGOdA6QMTEy5G7rtD+lk7W047oKBdiR7gxRFt0W4SzcztnBvX35O7ujoT52tMywplrhrrSU5vJtrVjwnB3RrVyIMzbltAQJy4f4s51IfXfOnotzSs9uFxER3O2ocU5/nIPJjSVNEXUhgz14AYRiGhfW4KaOjKwvwd3trE5jxtSR5se7tza3Ym2/rYE+NvTras79/ayx1UT3DZu3N3fhc5hIhQhjvTr40yUVeSm/DW2Tqzy3yZE4g+rnv96y36OfNd2/cKkLA8OcaVbmD3hTRxoH+PGPSNdaGMrl8fPgQFtRRAjbLH9U/m2pN3BjSmDXWgl+YoK0661J08Nd6O3DFhCg2TQJXm9JUaEWaJzbOrCvZKvniLOAd52tGzhyq0jXOjw73porrjANPwer6Kc0iJ72gR51+L1pZJcti+ax9e9ZrHgiZsZN/o6HnhlFhO3v8uSrZpA/EkKmnPT88/zQOw4Yu9/gseuPsySXw5TXvgHi/7zI71ef5knJl/D6NgHeWXeSLbP/pStZs/6FowUbl/Gf94KYf67z3P3xHFMvPtF3p85WHKuUWE+/nVXXl/wOJM1x/oPPM+8iQeYvWQ7OacOszWzBT0HD2Nk7EO8vORRenlLVZbu4dOnviB05kvMuSuWMRPvZe4rjxC1P4FEy9rNWVkDeGrlx7z0xDhirCx7M0dIbD+Vt+bcw8QxUmdvvMf8kC946tM9GIL7c9vEvngSwxW3TeX+Kf0Jtj69aAdLnrBKW8r++ttTYfbbrDxsHpcX+F3P8/MfJFbivn/WNK6OX80viRWEjH6Z+G/vodNZ+amkN7qgzvLvMSpSPzPvKtqKUXO559wZfWQser8mUJaCMS9RDnqD5oBBF4k+qo80mRxpaU3FEn7AMj3sBp7z5dgn1X+R89GJyJkxSH1au9eXYZNRG6iIRe947qd3JScL+ez7bOZtKqNDR2ciHMrZ8UMW0z8/zcz1JRSI9TKkndmRvwmjgc3fnubx5VksOiTpONrRSYTVxk86W80a2pEj1yGLp38qpsDGlg7RtvX4NdbTzZRmBYlbsnh8SSYzJM08Oa9La3t8wsW6FKso91AuMyW96Z/nsrtYT0QHJzo19I4UgWntpyM7rYA3JV9PfZrHjmIdvmIJtpW8X97BHufyMjZIme77IJN5v5XKMKaSyvw1rk6cLPkvOZ7Pc4symPZFPomlkv9OLvRzrL/szvXl26pDqbp+22CIVpbSUr7+4jTTFp9m2ZFybD1EbMPrqKxG5dtyrvQN6buymb70NG/tlcGujR7nvALmLTvNU6uLyDDKgCbcXhv6ERFki66glB9Wa+XI5mNJy9bdge5BDb2Iiv9FGtE6bLB3MnD4VG7VVNLZ5HHiYAq7nx9KE1eL9x2/gTyz+xgpGRfilZ9QGfFanmLqPAgM9yS3tBxjbhoHd//M80NDcTV5/HHF77Kn2X0gjYwCa9EtJ/eE5K93T7oEV95tdjTpfhkjTNsV5uO7n2VoE3eL96CmXPbMeg6kZFDcajTP35fF7I7RdBh+J6/+YiBSrHnd6WTif21D//baLamhw77VBF5ZcDMdnS1V3b4Vke51DVfCGdirJd7mk2UYH0SXAW34NT4Z7WlqveSksntr9bTtojsxyH8X8UmWic+oMJpYZid0XoGEexZT2pA3wl1uFFF1h+x1VOQlyY5IdBFPiEVjg/HIbMq33kT5zpXSQcWIxfuQJX2NAoz7J1H+WzvKNz9ORaFcA7/L0dv7ijUr/4ZdVf3X7HJ0DpU+lKW+bD0s2xoicWKpaFPoFGtLhdZHOfsSivg51cCxQj0hJjdSNrQf6M2rN/kyq78DLrLHUazMKq9HBWX8nq7VhZHMQu1fEQJPPeUnilmTXI5DtAdz5dwXBzqazrXR66zKWRNLmhUGdibKIFX2nD6Ux/QPMnhobSnuPjba3AHuEe7MkjhfnehOG22HvS3SjBpGRRnr/igmw86J2yf58tokd9prcWjV5m6L5smyPL2YuPQKKZGRlD0lHK66Bf5MndgQaMq/kaOHS0mTTqA0t5Ttko6Ymvi52NRT9hIK68u3/GPG6vrZSnpaWTJK2Jyr5aGCzTJQmPrBad44aH1PW9GofJvOFCo4JKJeIuGSM8vlLyNZJ8pIkfAlGQYyJTqdnQ4n2b93dyE7cvR0HeLDazd5c0OE+b4+y1+HQmFFI0TXm5Y927Ljq80cqDFVbExby+wpM/nqcJkIszsD564lMSmJpKrfD8wb9he+O2lrj5PLlcz9ca9VmvI79CzDAs7c0tpNaGtvh0tGNnlWZajIzybdsm06PnAuPyZaxSO/Q/OG4VviSMvb3+bXpE0sfXIUPtufZdwLP5NtSj+fgiKr4YihgMx0qzeO66WM3ELtdq+khKz0k7g42Vt1SHVQW9qlhVI+N3zdK4WsMbRFJ1a2jlyMxz617BNL01msWbIwpn8g1u3HGE+J6BZL2q4tpVXtlAGQNmdQhLEw2XQGFYekOGKt6qSHtZH9h5pjWGdf49ecioJdGLMPywlO6PzNQyATuoHofPxkIwNjzl7zvjoxSj1YNoUyrW8WK3nH1jw+/UV+m/L5YVchP+ws5bg5iORP8/J8Nj6tXbmhvQM+RcV8I+d+sbes1nA1MaWp02lGlhnpidtHaZ/s6BHDWRBBOFRgzo/8vt1RyM87ivitob4eXRyZfJkLLd3L+UMr18YijlrerxOl0OYJ0DvZ4GPeI2qqw9lqlPBn6sRgaWIOVS9K6HCV+DXKtHPqLLsNDvXluwqr62cpi1nozDh42tGnvs+oGpVv0z+CsSpc/dgwqL/0cWJB5x3K57Nf8tl8qkE3ueJ/nEaIrgPNRtzCw+XvM/uNH0jM0Zq3NNScfXz9xjxezQqmeWAQHQZ1Y0/cZg7ZeBMY6IPj8RVM7TKD70+ddYddOHzaMmhsKnHrj2DjG0Cgrx3Hv5xGl0e+x3qiUrthfDr0Y+z+T1my5rBJEI3Fh/lu0TLWmY7bmo/v+Yn1ohW+gQH4Oh7ly6ljeeT7o5xcO5OYMW+xwyGMdr0HMbR7KIlpIqw+MYyIPcmiZes5Wix3sbGA5M8foX3sUg426Fl2KivfXMKao4VSo2XkHPieZR/lEDsixtR56t28iCCHUydOnP1dtKnsR86kbchk59IPeDtgOANEOOpG+/wrntXrE9HeDToLu+vQS/kp/pWKdHPtgFiahZrt3QRd+HPoAp+Xf281fVNKUYpEKcKZ9occ90Hf4nX0TV9EHzVLLGPpNvO3S12fw1LN/FgGQCXgdT02MZ+hD34Pffunzc+UM1eKtZ1M6voPmT9/GVszz9Weytl5xIBBpyc4QC9XVod3iBOXtXUiytFossTqRoTKUTtHYimp4ESBDDd8beqZVq6kMk07BgxwYUi0I6MGuHNzXzeGh+o5mqJZWjo8xKrUnkrYutrTq50zPZvoKWro7WGvx1mzqERgMrIqKPeyxb9yZJZdyu4sIzovR2L7OjFA0p84wJmQKo36M3Vi5Jgl/yExrkxs48CQHq4M8NNhyCplZ3b9ZTfUl+/asJRF7+fMjT0c6dvCmVuHujO+jwsx5/XK/rnybQnWYDTBNm8V5pVzutyG4D/9LbXif4FGiK40N88ePLDwBbrGT6d9U0/TNK5H0348lXIF/33tOlo52tNk5MMs7Pc7U5ppTuc9CRq+hnZLpjMmRHvL9i9CF8zIGbPot20qzTTH8R6hDF8Zw5I5V1p1OGZ0TYYz4+MrSX6sOz6uLrj6XMVCfScmWh4Xmo4v7MG2Ke3w0MoXdD0r281izpgomg67izfareGqYK3sfnSZr+e52/oQoAtiyKMzufrIDFr6uOHi6k/3BQ7MfT2WtrW+Pl2TQPo0P8xrnf1Mjv6bdnyR9Btn8+iQILnF5WKF9eGW247zeJ+WRExbU2WVmzCVfQ5X7nvMnLaUffAiD+a+fStd6/XUVEzymvncMPVjfs+pOcSXdINGobM1iEX7tdULUEliqc6iIjMHnd94bNo8hE1EZ3RFW6jY/ayEKxZxnEb5wXixsLqjb3W/5L2N6TlwxZ4553iRSjAupCJ+rgivFMt/tAj3Deh9vMSwXkG5nK+xb9VbPPeHHU28zzUHYOTQzgLijlbgEebC2D6uDBbrJPtoAZ/sKq8+cDkLI6mJxewrNOLc1IXbh7nRxb6CnHPlX0szPp//Hi7H3t+JKy1p5h8vYOFWsZQzilj+ewl5Lg4M7uXG2A4OuBaU8M2mYm040zCySth4tJxyB3suH+bBxGg9OZXLqBsNxP1SSGKhjqZR5jJ3dSznRNVD3T9TJ6KXkv+PNheTaWtHz25uXNnKDnsZJMX9UsQhubj1lb28vnzXhpTl65/y2ZWrI7SVK9f0cqaFUwWJv+Xx2fFzXohq1J9vS6AGY+DXPaXkVeiJ6uLBlP6OOBZUaIa5QlEvf87hgXSu2dqbtKdLcfQOITzUW5vFssJAfmoiB8W6dQuNItLH4jxem3IVC8XF3wPHcqtt63Otw4gw5JwqwcGvtvBiqRVkif3nXuU4HkMuqQeTOWVwIzS6GT51eiySc/OPc/BgBviFEx3sTElmLnjIQMFWi7zy+EkMbiFER/qeyWOlQ/4822qO8k3Umr6Wz9NkGlzwr3Kir63oZXGWb7uD+R0msXv2t/xfHwMHU/KwNeXJvfrUsmmBjGyKHT0lHntKqpztW8rY4LQ1j06WslJIZoEN3lbO/c0OD2Qobz8MnYPEULBGslv5oUQl4eA2Gp0MPCj9HePpLy37K9HOn4DOu7kkd8D06c/ZcdRHO/C8HJ0M4ij4EWPez+bdxUaevKMFGfNXMH9E06o8aw4P7MWMChJr7dTpCkSzrdDh5WNLC28dRacN7M2ssFh0st9Tj0d5BUfytKefskessTA3ncmCOSmBdPY2tGyiTdVWsCdVRMlNrLXSCo4VijFe49yauHra0VazpnIM7DxZmaYZLa+tAm1xKjWw/4T5E5jK/VVlsNETJBZUmSUv1dERGGhHlCucPF7GYRlDB9mLRZdtSUfObR4slqQp3wZKJV5f2T6T18bXiUZd+a+k7rLXnW/NDK7r+gUF2xEuTUo754DpWa1gqR+Kar8e55Pvs9rOWXV/dr24utvS0l/usVwpY6Z0IxK+UKz9R8Zd+C/nFf8OlJehSwVDvEV0V/Pu6GDLzr+PS9nLkFFMzff3f0jHW0ZXewNceRlSXCooL0OKujjTYyn+XnQ22Ls74yRWlaJ+dB46brjvqlo+uVIoFIpLG9VrXSrYtOOuTVt5bUQTyw6FQqFQ/NtQ08sKhUKhUFwklKWrUCgUCsVFQomuQqFQKBQXCSW6CoVCoVBcJJTonhfa966ZpKWlk1lQy9JB2je06WlyPJOChqxprFAoFIr/Kf6U6BqzfuKpjv64uPTjkbVplg/u/6EYj/LVlPZSFs25QeWvI1PjTliO57D38ye5IjyUyMgIQsNHcN+yXZalE0WM035i7rU9aRoRKcdb0f3amXy5N+efXScKhUKhuKD8CdE1kPHrtyw8UCDbv/Px51tI+ycrTOkJ9v+ciEvH4UyMjSXW9OtHhLu20m452ZveYsrkdzgx4ine/fhtnh6Rx3u3PsArm06L5qayasYDzFjlwLinF/DO0yOxWf0idzzzrZVnF4VCoVD8r9P4T4aMh/n8piuY/K0zHaMyiU8cxke/z2ecaW1lA5kJ6/nlsBNturhz8Nuf2J9ng3fMYMYOjMZVW7fPmMfhDd/ybfwJSnVuhPYcyuVdXUn+YSMHCn1oP6QHzRwySVizmUMljoR270fHQBtzvIcgok9/YnyM5CRu4tvv/iC91Aa3yN6MHNKeQEc9xswE1vxyFLd2XQg7tYnVf3gx/MZojiz5hG3O/Zl0bSd8KtcP1Ej7itsi7+bw/K/45HIvTpe50STY17wcZGVZ1w5m6ba5jG5iR0Xqet79/A/oOJbb2u3n0ZjRfDj4I37/YBwhFXt4b/hQ7ts0lqVJLzM68FzrAysUCoXif4FGi67x6Ofc1Hkya8d+xMort3LF+JX0ee9rlk6MEvO5gPj5V9NnejLh4QUkJ1c6ru/IbZ8v55UR/qR+9ShXxL6N5vLcTDfu/eoNrtr+IAOf8eDV3z7kFq/vuKNdLEsKAhm0II4VN9jwyYTLuXXj1XyV8DQd9rzGDVfNYL1mbJtwIWrSAlb839WE7HqVDn2mczI8HN/kZI6Ez2b9Z17M7HIX61zu4PM9LzLC98zqT4b4+RL+OSrCfclIPiIlcCF85KO88drd9Hf4mf+IqL7R7nHeu17HD4u+52jIIGJvu4XYbk2qr40sGE+v5dGuo3nd7zl+2TCVjg1ydqBQKBSKfzuNnF4uJumHFXxW0IarR/eifbfLuNrrCN8s28ihatOpBfhN+IjEjFMc/naGyGo8S+MSyOQk21d+J4I7kMe+2kHqkXi+XX4/3Z2cadG7L8H8wfd/pJK7P561JkFN49cfd3IsK5n4jal4Xd2X9i77+fSpV1nvNoXFe0+Rn5PMd0/3IHHx2yzZWinykoOTUVy9YDFL5w0ivMVVvPztZ3yx5mGGWAmuafo47ajkqoCM4CuZ/dFi3tWmiFfN4f4Fm8kqKSBLi3L9c9x6/7ecDvIm/6vnufOKe3hlS2b157bGLOIXv8sHaVFcc9/lDfQupFAoFIr/BRonumWH+OnzzbLhhcOxX/l601EcIrxg3dd8t7vK7BRaMWJoV5qImPq1aE6U7CkoKsVAIL1vvJWR4Vt4fnR7glvfyrtbM3Bv6oNHTB/GB6ayMX4rP25YT1rwvcx9fjQFazezbXM8G7LCGdy3Fb6nRYB/FSVMe5tJrfxw9Qhn6DOav9dDbEvMqHKx5XXjPTw4eSyjh8fgo3cnqv/lDO8YWMM61ePZ7U7W/LKZTR8/y23jxhJ7/wNM6WHPgc+3cbDSMY7L9by3ZS1fvP8pcSufpVvBal79Ip4qV5zay1aLn+Smx3+kya0zefaaqAb4XlUoFArF/wqNEF0jpfvWs+wHzfPnL7xx3yRiYx/gjd81U3ALX/ycZOXCywZ7u9oX8HdqOYGXV6zjx2+XsuDecBJensrEx1Zy2CWaXle0IWvNh7wVd5DA8cMZ37c7MVlreOf/viKBDlzWIRCdrT1OLhJRt0dZuuEXfvnlZ4nrC5YufYtnhoVVFcxThNzNsm2i3MDZX/OUkbbrF9av/43DeZX+yQyUFlhK4h9N914yqPAKJTTAQXbY4NpUtmWrtLhM7GTBcJyNrz3IhDu/p8k9C1g++wpCTO4BFQqFQqEw0wjRzWP3ujX8SnvuXvo7SUlJ5l/CUu4OzOLXD7/jj8JzvLJbcZiv7x5Ii15PsSbbj5g+3ekgmlaQWUAx/nQc2BOXxE38vKMpV/Rqjk+LLowMTubnn+Nh0BB6RziCTwwjYjvC1p9YtyWZtBM7+eaF+4i9ewVJZbWLnTF7M3OvbEeHCe+TUGStvLZ42B7no+n3EnvHDN79/EuWzv8/PkiA5hN70cq5Gf2vH4JL6iKenfE2n3+1hLnT5/E5zRk7qC0+xftYdvc4hj6+nMSoAQzvYseBdSv56qt1JGTW8j2vQqFQKP4nOX/RLdzL90s3QeBQRl7WnMDAQPMvog8jNRHcvZafduVaAteBPpwrn36KW1vuZE7sEPpe8TCf+0xk3gtX0dLGloD2PbhMC+fShb5tfdE5t6TfeIkbL3oM70iolmtdEEMefZ7nxhXw/sOTGHfN3byc0oUZHz/OGNMb1LVQnMWxYxmczCuirNxadPW49bqbpe/dQcvtr3P/5Enc9swGPG59jaUP9BBL2Zno62bx2YwupL7xEJNjp/DM5yWMnPEKM0YGo8vezw9LdpijSlzC9BsrPzmay7qUEvN+hUKhUPzPc/5vL2urLp3MpsjWDV8fF6tno9pqTafJyCvHydMHl/Js2QY3X2/LZzfm84odPfH3cESzRY3Fp0lJPsppgwtNIpoR6GKJ7aw0rOP2xcPRaqxgyCft8GFO5NniFx1FsKslDkMBmRn5kgEffCrjpYLinEwKbL2s9lkjxzMPczAlR84LITrSF8dqRrOB/NREDp4qwdEvnOhgd3P5K/N7Vk3anSm/QqFQKP7nUa79FAqFQqG4SDTima5CoVAoFIrGoERXoVAoFIqLhBJdhUKhUCguEkp0FQqFQqG4SCjRVSgUCoXiIqFEV6FQKBSKi4QSXYVCoVAoLhJKdBUKhUKhuEgo0VUoFAqF4iKhRFehUCgUiouEEl2FQqFQKC4SSnQVCoVCobhIKNFVKBQKheIioURXoVAoFIqLhBJdhUKhUCguEkp0FQqFQqG4SCjRVSgUCoXiIqFEV6FQKBSKi4QSXYVCoVAoLhJKdBUKhUKhuEjoCgoKjJZtxd/AqC33WbYU/1a+7v6qZUuhUPyvoyxdhUKhUCguEkp0/6Xo7Dtza8R1PNCkFa6WfY1G14zRzWJ5MKQzwZZdZ7Aj2PsKHowcT6y7u2VfY3Ggtf9YHoq4gsH2dpZ9CoVC8e/hXyO6xuIc0tPSSM8p5u+dL6+gOOckaWknySmusOxrDG5EuEbR0TWS1vYOln3W2OLjGF77cX07Hmx/MxNCotEXpJJv2X1uHAhyjjw7TmMmJ22aMzTqZmZHtsPFslvUGBf38cyOGcVQbzuS8/Ms+xuA3ofWpvKFEKTXWXaWcqTYiXYho5jWfjw9q/afQWcbSPuzzqvJuepOo7L+JJyzD86WvTVpWHp11JtCoVDUoBHPdMvJiPsPrce9RYFlD+GDuPW227jlumG087W37LxAGDLYu34Vn33wPu94P8Yfr43A13LITAlp699g6t1zWJWs5ag5I2e8wmsP9CfQNo24qZczOf0BNi6ZRLSddadZRlrckwwbt48pvy7lribrmdphLSP+eJERfHdm29fGEl6jlrKbGMJcLY5WWax/5T/cPWMFydru8DHMeONFHugfJF187Zz9TNeVjk0mcGdEZyLsK88qJv3kGl7au4rtFXK59C25te0tjPPxtMRbxLFjnzD9wEZScaRTs0d4Ltyf9JS3uStpZ4281oZmrY7jP81708rJQaRUQ9LM+JkP9/+X70vLpKU0585O93K1ezZxv83mpbxi2deKqV3uYZTzKeLiX+Kl3IaIbgBDIm7g1uAofGzMYz5j+UkSUlbw8uFtkn8HYsIe5sWIIDJTXmdy0m6pdUHfnNjm4xkXEIa7Zaionbc9aREzj+23lLEBdacNFFyH8HDzYfTwcLfUnwyUCnfx+e4P+DDfMkRpUHoNqDdBPdNVKBSVNMLSNWKQzqTgqgX8mpREUtJBdn/2CH3zljHphlfZmGGwhLtA5B/gx/UZuDf1IKuolJqxG0/9wPPXfUfLeVvJzBdrd9cMwpf+hxmrUiWn5ZQWSV5XfsTiTaeqWcDGrI0seHwhidJJlhrkiKGUoqyys7erUbPslb/3mdzKnlPfv8p13zRn3r5T5OecYNfsMJZeN5dVJ8yd77mxIzTwFp5u2Z1wm9PsPLaBuJQt7CwEf/8reapVf/xFVDuHX8e1Pq7kZq5nyYEf2VFoQ1DQtTweFAw2nbg6qCm2hv18eTihAYKrx9d7Ei/EDKSVfS57T2yUNDeyJacUH98hPNQxlv42IifGgyw+sles5gAGhHbDQyTG1ecyBrraUZTxA+81SHB9GNL8Xh4Ki8KlJImNR9cTd3QHyeXetAu/kTlRnUQ2S0hI/YHtpXoCmw7iCi1tghjfZgo3NQnBvng/61N+YrUI30kZfnVufhtP+ftLmIbUnUiuwyBmtr+aPh72ZGZsYXXKBtZnZIBzO65rfxNj7LRboiHpNbDeFAqFwopGiK4FJ0/8AgMJDGxKs1a9GffobJ4M+YKnPt1DqTGDhNXrSEg7zs5vPuC1zxPIy0xg9eoEMqt0rIDDG79j42GLLBhOs3ftxyyYP59X31vGV199JT+Jo7wbd828jwm9w83halCRlsy2rGa0axuEo84W1/DB3Pn6M4yJcLKEsCEs/AQLF6wmsawy8UISv/6IhWX+hFn2nBdVZa/8+eBiW0pa8gGywtvQNtgZna074cNu5/U3rxSrS4cxfy/fvLWMjWkllkhqQRfDDRHaM9h01u2Yw4MHFvNS0ns8+NsytpaKHeffj6udPIhwdhfJK+Tg8W/48Ngynt6/jt8yksnEGWevDsTYQ96pzcSV1xw01IJYq5OjuxKg19J8nqn7PpQ0P2T69md56cRpbJy7c3NItKRnJD9zGztKjTh5d2CAjQf9/CMlrzlsPxEv/z83Nm7DmRwUgE3hRp7bNpenE5fwUuLr3P7rh2wssSEwZBQ3uzhAeQI/ZuaCbTN6+Xhj7zmca3zd5bJp573Es0kfM+/AS0zZs0MGAR50Cu1D8wbVnSf9wgbTzr6C9KPvc3vCe8xLWsyzCfNYkJ6Dzr4Vo5o2a2B6Da03hUKhOEPjRbcmtkF0GdCGX1fHk1J2lHXT7mXajZO5Z/FOcqXvL09Zx7Rp60gxzRVqZLHjw5l8uCNLtotI/uxxrpi3E7vgUPxOf8dTsS+wMrnIHLQebKJ6cf3ADTw7/RU+W59Aar4DzXqPYHiMr6XDc6PX1Ae4WTrhSmvXmLWVxfNTufnhO+hlCnOeFGVzKi2NNMvP/BzZiag+wxkYN4/pcz9lfUIq+bZh9L5yEDE+tpLmAeLeXsG24/WUySmK5g42VORsZVmOleVYvpWXf5/Dw9ve4VNJe29uhlj87nRucT8vRI2kb+laHkt4hSePHaGFR1OR3hKO5qQgWmPGeTyLLnuXtdV+b7KoWXNJsw3tnW3PTpNs1h7fw2mxIJt4tyRU22U8xK7cYrnW/kQ5hdLKzUX2nWR/buVTY3vaNnuG789K6xmmOrvQyqe52MmlJB//iU2mqV4L5TuIO3laNvxo6x0g/+axKeuElNGZELcgmnuG4nnWeTIIyFjMg9teYNqu7znYoLrzp72H2OjGVH48ustqFiCLuAPzeEgGArOOnWhgeudRbwqFQmHhwomuROUoHSuHssgzvT+UQVafGaz85BWeuCZGLJB6KE9m3cJdXD3tIW4bN5bYB6dyU7gL0b36mQSrXpzac/sHy5nZ6Tgf3D2IFhHDmPLGOpILqtQdXUB/Jt0fbLF2LVZu80lMGhjSOEvkv3fRIzKSSMsvYtoasa90OLW7mQ/WTqfTsSXc3aMFEQPv4Y21SWhPzfUho1kQ/wn3d/K0RFILejvTM8aKsjxOmfdYMJBZnEx8fppYsyXsOvIOLyXvIdOmKZ0l3oe6z2F5zBV0qrqaRgwVVhPxxnwyCjM4WeOXUSayXGea2mkpHJNrqbdzw9u0p4CjRZpUueDvbJlJMJZTZiVMxWWnz0rnZOFpciSInY2N1JKB/NKak97F7MzTBhI2uNqbX9MqKsoU69kGD0dfXOo8L49D+YnsKM7D2KC6s8FOexnKWEROWfUHFUZDGjvykzlkqKgnnw1Jr7Z6UygUCjMXUHSlo9c68Qgv3EyxilURE4Z7Q1TNxpdmHfXs2nWQjOJS8g/tZ2+2N95uDflsRIetbztG3zefVb/tYcc3UwhYNY27391u9dauM9Hj72HayY9ZtOJLFmlW7l3DiWrsVyk1nukemjdMLDgNe3zbXcl9r67gt5QdfHOvH6tufIx347NNRxuK1ln7WbZrJ53vD7/Cdb88yRO749iYV4q375U82bJn7W/hFv3M67vfZ26130JeT0+1BKgjTUc/fOVaGsuLLFahA96mtw94yFwAADbCSURBVHMNFBtqe3ZfRlL6J7x4VlqfsLKoMrxtlbCewZ4IJw+RxAqJ1zz9bi9hnOTv0vJi+b9GbeedzbnrTtA54WF3jsHcn0nvrHpTKBQKMxdOdI1p/L52O236tKRpQ2LVLKTSyk9qfOg8cjAnpg8lzMeLgD7v4zj3SSa0rHwuWxelpMY9x5S568kQS0onVlFU96u4/eburP90G8lnjF2xiNtx7f2t+ODGKbytWbm9/ESuG4lT9We6AR6O6IwpxD39AHPXp8nwQ6x+nyi6j7uJmwft4dNfU8xv4J6LggMclDrRu7VliJPVW+C6ltzZYRZLu99DrENr2Z7N0q43c7nuFL+e/JKn920Ta0uPm1sIrqVFIlJ2eDp6WE4WXEcxq+sjzK3xmxUWLWnuZU9JuaTZntFu1vMRbvRq2o4mIrDpWftJMu3zoKmjo/ybR1pRlliLUiq9K74OlaMXBzqE3cNLZ6V1DzdK1Lszk8kSgQ3x70Fn689v9K25IsBfrkcmu08flx22BDp54Si1llUkFmjWUUlRzvPrSHPzGSZsXMfyRvfnWdJmCKENqrsT7NCmgnWBdPW3nuVwpFPYND7uPpMXmvixu0HpnU+9KRQKhZk/L7qGAjIO72Ttm7N5avMApk9sX6u1pXfzIiJ5ExsSskWUysiOj+PTuFzTMWPaGp6ZupwmD/4fS5cu54uVb/HMVa1xPacq2uET6MqBVxezIiFTujmJq/gYu3YexqtrOIHVSmdHk6E38vjA/txhsnIbLbm1o/Mk0CuZVxd+S0K29rayWG2pe9mZ7E7XcF/0hjTiV28kMb8e+TXuYHHyfgr04Yzr9Aizm13O+KBreKLdTYz2CsCr7Ci/lWSSUe6Mv2tnrm95DbEBg7kpuAVeUqtF+UfYcvogJ6SswT5tz7wkVpzAmiM/EZdS/bcmM13STGDRob3k60O5sv00noscTWyTMTza5mEeCRH7vWQny47sNQ8aHNrSyc0eY9ER/pB63nJae0YeQEffJqZkNEv3aOZGvq2RTtyRjWwrLqM0ezWfZeRi6z6IpzrdzUMhw4gNmcyLnW9ikLOO7PQ1fKR9ikQgA3wCpHFmcSArjdLTcXyemYetx3DmdLqLqUFDmBx2C6+0HUwLZ1cKchM52qC6y2bdkR/YXWZPZMQ9vN1qApMDL+fu5lN5pFkLAhyLOZh9soHpnUe9KRQKhYVGfKdrIO2rB4mMfd/yt0Zzht9zL1PvmUC/EGd0hnjmd5jE7tmreXe0ZQ0jYzobn7uDq577zjTl5tL/dm5vupP0Kz/i3VEGPr9pNDPS2tIzBI5u/p7t3jfyxvtPc020NsVnSXPlIJLeHS1dshXGHPYun8mU+97id9NcngvhIx/ljdfupn/gKb66bQIrr1h+Jh/WpH3FbZFv0uaXL7i/yVrZXscVSS8zmlWyHctSSzAz2re4ixh76IkaZdcwf6d7Z/ghlk9/gPve22SZVjzzzbBf8iKu7v0hMZ99yrP9z0xI1vadbqegW3gkqi0+VYMGA7k5m3hv13K+LS1DZ9+TR2KuZZC7i8VaE4HP38KbOxazqjSYWzs9yASPHNZuf4E51V7yqQtXOjadxANRHWhq+XZWi7MgdytL9i7ns0KtNI50jpzOnFBPDiW+zB1Hk8XiH81b3a4govhnnt62uPrLUXWhb851LScxMSBQYqykgCPHvuaVxB/ZJXHYuF3HR10G4JOzkvu2f8UBLYi+BTe2uYkJvj6mZ6kmKnJJOvY5zyZuxjxRfu66kyaPi+tIZra9nPZOZ54vGEoP8+P+93kxQ5upEBqY3rnrTX2nq1AoztAohwfa6k8ns4vMnZPYI06evng4WpuVBgoyszC4+FTfbywmMymRlCJnQqPD8CjPpcDGA9fkhQy/4jCPbHuGwd42Ei6D9U+P5W7vV/nj/o6mTk9L81SJA37aVK45NitEdLJTSU7OpNjRn+joprjaaqFkf04WJQ5eNfJnQfKTc7IAWx9vXGxKyDlVgoOfh4iBtj+bomo1Y4ebrzfOhlyrsldiPuaipSlxZqckk3y6FEe/cKKDKxdg0OqkABtvid+qAHU5PNDZBtPbM4ImNhVkFexjU34GhZZjZhwIdu9ADycHCosPsSUnlUzTfm2VqFgWdOyPf/5anoj/jN8bIoYael86erY0PeuumaaNy9W802U4oSWbmb3tA34yfY7kRs/Ih3g61IdjyW8x9fDuBj7D1OFsH0kvz2Cx0HNJzN5NfKnlU6qqRTjy+Cn+BWZlW3+MZIuPUwu6u/vjIoOtaudZce6603AjyqMNHRwdKStL5bfsJI6dVU8NS6++etNQoqtQKCq5JLwMVSQvI7bvSnp+8gzXRrpCURL/nfEI64d/yNKJURdgDvzS5a/xMiQWX8hdPB0VRt7R97kj0fqlskZgWXnqSocjfPrHAt6tXLVJQ9+S29pNYbxHPut2zGNONZE8XypX0/IkKfFt/nN037/iRSQlugqFopJLw7WfMZeDK99m1gtv8Xl8muxozsjHnmX2/SOIdrVehvHfh3Lt9+9Hia5Coajk0hDdKuqYllYoFAqF4l/AJSa6CoVCoVD8e1GiewmhppovDmq6V6FQ/F0o0b2EuNRF18a5L3c1CcW09ER5CnFHfmbPRWs9enw9h3GDj7fp7XVjcQKLju0kw3zwvFCiq1Ao/i7+QQ9Otc9/GugcXvsUKD2NtPQciv/uIcWllJc6qcvpux1B7j25JqATrfU6HNy6MjJ0ACO0X1hX2pz97dYFojYH/XaE+PTmckv6lwfHEGI5YqZup/Sa96DRAf0YrK0NrlAoFH8jjRBdzZH7Q/i7uOBS+Ws7ivte/YadGVV+bS4s2gIYyx5maHQ4kZHhNO0yibnrj3H26r9GDGk/MffanjSNiCQyIpou177MepM7PUu+/W/io4Nnf7VpTPuW+9sH02vBTgl5gripQ5gad0KOWG/XICOOqf5W9WD6+VviqC8vDUDflxf6vcva/s/yqKfVko4Wj0Gr2vS1WlxCw4vRbV5h7WVvsMTkl7aS5kzt+iZr+01l9FlXW3P6fivv9H6Rd0zLNT7Ka73n8XEbzXmCpqju9AqbwJTWYxnhXLm0YjmnT3zMw9s+YhWWPFZ5E3qX7/u9wIKonpiXItHh4tyJcRbRbhDaohQxs/i45+Pm/PScxashLXGhhD+OvM5Dv8VxoNrgRVvsYigzOr1gOUfK0f05Pu1+Lze6mmvByWsEd7aO5Wax0hUKheLvpBGiW9OR+1/sxF7SK9z2LpNftGPqL6nk5JwgYUYAb93/EVvM7ozOYDzB988/zjctn2dfZq5YmBuZHf4N181YzQmjJd8Fq5i/eCtZ1h238SQbFrzEu4lZ5JZqcqk5vy+iSLY1kTmzXQPN2X3BRBb8eqDK+UFSUgLfTG6NTb15sZxfL7aYVqrUBzKo5dUMqHSIbvFuY6O3rXHx9NjrtT32BIaM4/4qobZ41tHZmqeFq2iY0/faMJSlE1+YSWFlHo0Z7DQt+fgr8UWORIfE8mRIuMihAzFNx3FHNdGuD81B//Vc5+tOzulN/PfQRvaUutImahL3ujubPQEVZFWbMWiYU3qFQqG4NGh8j1S16P9f7MQ+s5CTJ4roefd4hjf3wtbWnYg+/Rl4YA+J6TUs64oMkrflEt6uFcGONti6RjHszud4c0zEGcEJ86ds4Ud8nVhp7RopS1zNgoUnCA9rzPSjM55+AVXODwIDA/BxEVmsLy+a5S71smjj8Vqs9bPROXXljsjOVtbrufCjv7VQ10aDnL5XLYBYP8ZTbE7+WM5/n0f2b+e0iGe4X0/GBl3DeB/NlaELLYLH81CzvrSuypItwf6TeClmEqPtK9Pxp6OHN7ryQ3y15yPeOLKMD05q62y54u9Um/ML1wY5pVcoFIpLhQtnBvxlTuwdaDb6SV69tXLK1EjpqeMc8golyKeGbz6bZvS5vi1xz85g7mfrSUjNw7ZZT64cHoNPZWff6w4evjn1jLUrgrFp8WIO3PwAU3vVZdvVRyHZp9KrHNpXPbutLy9kcyBuCcu3HUNb3r9ejJmk5BvwDRprZb3WRykn8k5hOJdQN8jp+/nOWtji5+gmV0yzhm2IbNqLds7aNXIlokk/RoR2JLpKdG3wc2tBe98WRNlXLoCSwnvb72bwhnksLdNmMZxp4qBNohsoKq8tL00b4JQ+xbJPoVAo/n4u4NzbRXJibzhC3Htf4vz4eHp71Vytyp12t7/G2pkdOfbBVHq06MjAKW+wNjlPpNqCLoSBkybR3GLtmq3cYO6f1J+AegzDulnGXT2aVzm0j4x4kjXpmkDUkxd9GKMXrOPb+7vWXy8axpOs3vcTRyoaYL2aMHAq9Uu+zq0U6jqs9wY5fW8g+kgmdn2epd1f5IM27XGtSGPD0a95cdsTvJ2hzSikE7ftHhHT1/jK2IzRzWJ5KHI8Yzy0vFms4MgJTPa0dvmuw9VzFLF+7hjyt/FFZm3LSzbEKf35DhwUCoXir+MCiu5FcGJvzGHPR7N48MQ1zL4hhlq97dr60270VF5dtYWUHUu4N+B7brz7IxGRM89/7aLH8Oi0bOYv+pIVizQrdzKjomp1/94AajzTPfQswwIsA4UG5KUhGAtWMv/wEbP1Gh5OjVo5G2My71QJ9XCi67nKDXL6fk5KyC48RVphKvvS17Mw/mVeqGsNZl04/cMuE6u3H709tCFHpRU8gGE+AeYwppejRvNC214ElCfyxd6VbK8aNdVCg5zSKxQKxd/PhRPdv9qJvSGTnYumc90X0bz/2mTa1bImszE1jqenzGe99jKXzhGfqJ6Mu/16Bq1fy6/J1hO57nS49ka6fzCFG9/WrNxueDXKytWo8Uw3wOxFqOF5aQglJKR8arZevULxsuytj/IqoQ4jyrGW9asb5PS9geteV6QSt/tlHkx4mYf2LGFpbtaZmYWaVGzipW3a9PVL/N8JzZbOZOPul+TvF3jiyEH5245g71he7jCC5iSd7WChGqkNcEpfi0tHhUKh+Jv486J7EZzYGwsSiXv+diZv6sz7ix5gQKD1t6Rn0Pn443VgKQtXJJBtkG7fWEjqrt0kezUnPLD627O6Jpdx1+OjaXPHn7Fy66b+vBhJi/+B9Ym5dYtTTYwHLNar5W8TocS2mc2XPe4l1so3rJlKobYWeKvwjnsa4PT9z7pgN1BgehbrTpvQa3kwqB2+kq9jhUli7SeTYpoSNpBbqE1na1PBIpZBd/FSzAAi7QycysnAPWA0D0XGcq9/M84eAuQ1yCm9QqFQXCo0XnSXxhKpfZfq4U9Ym8m8eaQbr62cwaiQ6l+PVqKPHM4jj5cxu08Qri6eNH9iP81HmacTdQGt6dPRjpRt61i5cjnzb+5J86GP8tlB7dWYQnZ9NI1xc1ZzYMk99A3zsnwP2/Hsb2edOnDrggfxXDSOIA9XXFz9aDntAFd+fB9D/GpOP7rT7q6lbJ05oAFWbrYUt0Ut3+JqvE9spMfZx+rLi3cqa565h6kfbed8HOFVWq+aK3YTOg+aSF26O/jRpLbp1ZpCXS08JB5/h2cO7CLHNpTu4Vdxe/OhDPB2pzBnA/+361uz8/g/RS7rU35mf5kDoQF9ayxoUcqBE1/y1p4viSusfAs9hMuCW1kc0Nvj79vTvBBH6GWMDAg3vaBVE2PRah7/4xt2lDgRETiISa2u4qqgaDwMh/l+90LeL/qLvh1XKBSKRtCoZSAvrhP7DlBwmoy8KqmxUFu6ZozFp0lJPsrpYgf8oqMIdjUL0jkd4edkUmDrhY+L3sr5PbKdQXaRtYmpw87NBx9nQy3O7i3HtM+GhNrzYsRQkG0qu3X+qy8D6UCQczD+Ivj7Td/EVqKtHuWPY2kqe0pL0NkGEmNbQEJxPk72wbQQg/5kYaqVQ3ZtpaYQQvW5pniKqsKfebmsbqfvmrN5Lc4yUvLTKAp4kC9bt6AwYy3L0nax6dQhqDWPNdD70NrZCztDOjut0j0bS15ta9q0RkpKj3HEtjUjPDpyeYsehBb9xMNbPibeEqJep/Sm9N0pLj5qerFKLQOpUCj+Li6JtZf/l53YW3Opr73sbBLdVqa3nqnYy9s/v8xn5/dO2J/AgY6RTzI31PKyVWFN0W04SnQVCsXfxaXh8OB/2Im9NZe66JoWm/AKNC80UpEmlu5ejpmOXAy0JSU7MsLNwzRLYSxLIu50itW3uQ1Hia5Cofi7uMS8DP1vO7FXrv0uDkp0FQrF34Vy7adQKBQKxUVCia6iVuw3a2sm//so7Zlt2TrDo5/U+QqYQvGPY861F/4TSMWF439vDlehUCgUir8JJboKhUKhUFwk/qToat+2njR510nPKa7n+8vqGAtS2RWfSKbBWG3bmmr7DZkk/nF2mAuOlk78HlIL/uxKTA2llMzEXSRmNnYBhz97/nmg743OLVZ+o2W79gVQGkY7cNXimYDOPtyy70LjB47X/MVpNBY9zcPtae95zhVZLiJanhzoE25rWmLUy9+ePtH2NP/Ts5TV4/13cSleR8U/gUaKrhFD2hYWPTmRLk3DTd51Ipp2Z+QjH7M949wCUH7gcyb0eY1fMsqrbVtjvd+QsJgxvW9jwZazn8ddUDJ+4YU+D/L5gfNdG7mRGHazeIzU24JtdS8sYY2xmJyTFteBGud7fqMYhC5yGzb91mHT7UP5fYZtv4PYRP7HfNhlMTaDSrHtuxadjbUYX4YuJg3bQfnYRNwgf7dF13QVNn02Y9tdi2cRNn3jsYl5HV1NEXd6G5vLSuTcXGyaXWfZqdFD4jwl+yW9ql8Btl1WicC2NQfRX4+ujaTR+2NLGtuxafGk+dglQGCMG3cMcOeWES50uFTmmWzsGNLPjfH9nGhjo6dNO1fG93FlSNCfzGC1eC37/iVcktdR8Y+gUc3FmPcbb9x2B8t141i0+yiZ+Zkc2/0mV2e/wahpX5JcdmEtUtuYSazY+C53df+Xvdxj24ZJK7aw6q6uta5XfRbpa5gWXuk6UDjf888bsW5bvCPC1x6dLgdj5u8Ys1JB54+u2ZMiZo9CwfcY82WgZd8JfUA/y3mC3RXofcS+MR7BeGKr9FJvYtNqCDqHcow5OzFm7MNocJSobsGm3RzLSRqh6JoMECHWLAg5HjhK0jYf0Vz5ibLLv9K+CuX8U/EYC8vAY4iI90wJJ+eGPopNYAgU76EidTPGMokjeKrsG2SO4m8m60QJiVkGUo6UknLRFhZRXGjUdVQ0Fpvp06fPsGw3kFJSv5nD9RuH8MFbN9HJzxlbnS2OniF07BpG8c+7sOvcg2h3PYaMBFYt+4y4DVvZlWrAO6wpnvZ6KtJ+5a2FWQy6bxjN87dWbbd0PTMGsA7T0j6DvX+k49AsGI+cXazZcAJbm4PELVvBuk17OeUcRGSAi2UEUUrGztUsW/4tG7bsJrXci7AQL+xrmwUynGTnqk9ZHreeLbvSsXcr4reFf+B/87X0aGJf4/hxyr2DCfF0QEc5BYc38sVSSX/jHySX+BARVpmGpJ+wls+/WMWPpmMehAZ746gvJzPhRzacdMA9/WeWf7IbuzZhkLSXEw5BhHrkkrBmMydd7Tj23ed8umYDW3Zn4hzajABnGxG8BFZ//jmLvz+Ma0tn8tIM+EV6kLdvj/l8T23JipppV+bLYE47XS74vu9YtmItm6rihvy9cSyMyyC4TTCuJrGTcKkihG7zRCi7ozOIgP0+hoqU50VA36YiM1KEsR06jyjI+D+MFYPQeweKUJ6W6/adnO0mIiui7N8Ecr+i/Kgn+vY3oLMtxHjwbsr33osx/U2MJ8NFEDugc24Kp9dgLMkQUb0Ofatr0NnJwKJc8uLgAZmWY5ogB8Sid5H6OP6UxHO35EdEuGk/dI5SkFM/iQBfIedmYTwwhYqjS2UwcDV6DxH/ok0YT8dTHiIDhRqs3S3CbWND+7bOjGnnSI9m9gTpyknOMlLhZs8V7R1o5w1pJysokvAOPg5c2daBNm5GkjMhooUTYzo60ivCgdYyLjx9qpzcCh1BEU4Mj7RFlw9tOjgz2LuCP7KlauyM5OWVs/9UhVwxcPV34KouzgyIdqBTkA12ciy1WEbEck1HxTgQojfiHSV5a2M+bsgwkF5zVVTB3k0syy4uDGvhQNcQOzxKpQz5ZwbA1Y/b4lBg4Kg2RaK3pVs7B3ylXe/eKRGHO9JGq/aUYradrj6A1jnYMkDyenkrB7pZ1ZN5nkpHiJT5qo5O9Im0J0zakofkw9sUr4iTRFVnHmQw1UPO6yH1XOzswNiuTvRqZkdAWTkHcyvzoMM/2FHqyom+kdZ1bTlsfQ0j7IlyNHJM6rhy3qquerZO+7TOjpESf0hRGYkF1dNr56+n5LSBU1JFRunHmlRdRyN+lmttV6qnZ1dnBkkaraV9HE03t5n68l51naUph7Z1YaTUjdbeMqRtNY9xlrbmSHepK9tcgzm/Wmz1XIfBbc/p/FPxN9IISzeTXRt+I+qaAbRzqq5kusDBTH/7cUYE22FI+5E5N9zHJ8edCQ73Iu/7p7nqof82zgrO3sGH1y5jR3Y55SnrmHZDLKPvXE6aZxD+FduYe/lU3tmpeSwqIe2nV7hh8qccl2Phftl8/9jNPPRF4hknAZUYjvHTnClc/sZObAOC8S/5iSdunMVGy2Hz8TuZ/EkqnsGh+OWt5bGrnuSL5CKTV6Tpo2eymSaE++eweurtvLDhpDbpTsbGV7nh+vfZjR/NAkr59fnxXP/Gb+QZS0hZN5dbp93CpHsWsydXuz2y2PHhTD7ckSUCc5R10+5l2o13M2dLEf7N/KjY+jKX3/AqG6WTNRad5vDhY5wij7SUZJKPnKbIaHV+zbT9C/jpyTFMeG1bVdo3xE7gzqVSnsq4b1rITulcsg6s4+3l2zleNW+tEYTOr6N0FbIv41Mq8nZZ9stdn/e+CG+ebAeg82kuwvczRqO0Bc++IngiuPQUC1YEmXwRxy/BubOIovQohngRwo+1SMwUzaL81xso33q/xH/YvM99MDonW7Ggv5NrfUR2iJgHDjcfqw1bOW5y7F8i8R8UUW9L+eYrMOpvRd9iEfomATKCE2s7fb05fG1IpztkqAe3SIfYJsSBFmGODOzvwV0xtthLcYOaO9NPhKKfyTOGjhjpGAe2daKli46oHu7c0cuZ9tp58uvc3p27BzlquSZcOuK+Ma7cepUnY1uLkAXY4ODnwAARhn6t7Ex+jB2buvDgcDd6i2Br57eJciF2hBuXuUvRLGFHDvLkhvaOtLQcnzzUmYjqtx46d0fuuNKDy6XD1uJpKWmPGuLOdSHmW1zv5chd1Y47M/5yDyY0rRFRfdjaMWGkh6ksWl4q62lKSxsprQhuGzfu7u9C5zAtDUf69XEmyqqHqTcPIvyd20m9dHXn3oEu5voMc2LoQDdG+5rrXYv/wSGudDPFb6nrIU5EmNYlteGywVbXUNLv2V3i6mWP5rW5vnquSru7B4/Ivt4i2JEeOgJbVk+vfSu5ltp0ssOZa2O+jmeu9Y0j3RloSaNzJ2kbnWylk60/75VxjZL8j7XUTfsYd+67Rq67DAa08mh1NXGopK2Vtd7roLjUaYTollNaZE+bIO9aXK1Vksv2RfP4utcsFjxxM+NGX8cDr8xi4vZ3WbJVE4g/SUFzbnr+eR6IHUfs/U/w2NWHWfLLYcoL/2DRf36k1+sv88Tkaxgd+yCvzBvJ9tmfsjXPeg7ISOH2ZfznrRDmv/s8d08cx8S7X+T9mYMl5xoV5uNfd+X1BY8zedxYYh94nnkTDzB7yXZyTh1ma2YLeg4exsjYh3h5yaP08paqLN3Dp099QejMl5hzVyxjJt7L3FceIWp/AokWhwlZWQN4auXHvPTEOGKsLHszR0hsP5W35tzDxDFSZ2+8x/yQL3jq0z0Ygvtz28S+eBLDFbdN5f4p/Qm2Pr1oB0uesEpbyv7621Nh9tusPGweHhf4Xc/z8x8kVuK+f9Y0ro5fzS+JFYSMfpn4b++hU7X8yNXVa1e4XKxMbWlOaw5BoeYfSY7bSpdW8iUVp8Wcs4lC79dTTMErpYN1kVMTqTi1WeLRrHChVKzVamOuZIlnOca8r6TKtTyK9dy0h3QcpWIFrxCh3CrBpSPxH241xawh+5rOxqbnSWz7TBHNlPCpi6goqsynWM6BV6EP7iqDADkxdwvGgroXrHQKd2ZIoJS9sIT/fpvN6xuKyTTqCe/oTF/7Mn5NkQGSCHObcElXOui2msNoo1hvMk6I8oGcrBK+XpHJfZ/mkyimq3NTsbSs3hyyKStj++5CfjpkkKGRNTpCAyVOsfZ2b8li2gdZfHlc2omDHb2iTEpiwsZQynffnObxFeb4bb3saVftSYue7mL1RIkY5B3JZ/5/s1i4qwyDjS1dOzsSKse7SVkiHIyk78nh8Q8yeW5LKSXacbHipQgNQu9tJxZVBemSxtxFGTyzSeKQuKPE2gq2s+PyDvY4y72THJ/L/K+zWbxX8mA5V8tjg/IgVn3K9myeWJrNt1pdyPE2odLOquKXet+cwyur8tguFrBzoDOjm9vgJKI0Qrsu2jX8Jou5aws5Xq7DVwZMg2Ww1JB61ijJLObnXUX8nm3H6M6V6WXzwopcfs40YiuDm5FtbOsUN8PJAuYvO828bVrdiHCHiRV6jrxXUVrKtytO88wPxTIcB3uxpBO3ZfP4slx+12YsnO3pHKSr/zqYY1Jcwlj3sg3EBnsnA4dP5UoTqos8ThxMYffzQ2nianF55zeQZ3YfIyXjQrzyE0p4E8tTTJ0HgeGe5JaKOOSmcXD3zzw/NBRXk5s9V/wue5rdB9LIKLAW3XJyT0j+evekS3DlSzx2NOl+GSNM2xXm47ufZWgTd4vLvqZc9sx6DqRkUNxqNM/fl8XsjtF0GH4nr/5iIFKsed3pZOJ/bUP/9mIBmuLRYd9qAq8suJmOzpaqbt+KSHerG60a4Qzs1RLvyjvaNoguA9rwa3wypy276iQnld1bq6dtF92JQf67iE+yvIAWFUYTy+yEziuQcM9iSs/5RriM0+1qdsv+0mGJqGoKWqFNkG4W63+v/OsiVukYdAH9RZzkz8w4jGWaRWzB1kPLVt3YXInO11s2ykQJR4uVKl2Ilj/tebFfb3OYSsq06WZNzOV49lLK91s/F/4d476bKP99jljkUnbPa9FH32E5djaBPjZorSD3aDHr0w0cSCpmT57EKx1+ZICOXUmlMhjT4R9qT1iQWBYSuCKjmF9Ol7FhZwmnKmwZONKHV8e7EmUZX9hV3VlGju/J58OthXx1qFxaljVGDu4rYkeOkUBR0Xk3eTFWEw7B2tFSeUYJP2ZUkJ9l4IRlNsLO8hjAjJ4QkxVezt69JRzKLuePbTk8+EEG939TxImq4zoCWnvw3E0+PN7d3uQq0dbTtvrgrR4qThazNtlAuZcz993gy9NiRWpxaL2IrbstJpfVInprdpRyKNPAtu3FHK4qcAPzUGEgfq+B3JJy9p82n2yqi6r4S/l5fxnJJ0tZrw2GJL6gQDnf+hpmlHP0aCFzRJCmfijiLQLXkHqWxsovG/L5bFsRv1bYWKVn4FhWKZ99nclUGSzM3WHQWl0tGDl6SOq/uIKUEwZkGFqjbmrLu430PGa06/xzVgWZqWWc1IoudbHzgMRTbCApy5yio72u/utgCqW4lKls6ueBNy17tmXHV5s5UGOq2Ji2ltlTZvLV4TIRZncGzl1LYlISSVW/H5g3TKyQvwpbe5xcrmTuj3ut0pTfoWcZFmDdHHUS1A6XjGzyrMpQkZ9NumXbdHzgXH5MtIpHfofmDcO3xJGWt7/Nr0mbWPrkKHy2P8u4F34m25R+PgVFVsMRQwGZ6VZvHNdLGbnSaZ0JWkJW+klcnOzPfTPVlnZpoZTPDV93J8uO8yEFY+YeyYs0Ef+r0TkEWvYLTjei99VMuZMS5jf5V4T11FqMmlnjOVYszAjZyBFLVXu+K+T/hrFUehH7jugDzMMaEw7/h80A7S3lo+g924LPUDGKtSapibdYy2G90dlqHbWHCPlQ0ylmZIB16hXKd62R/Mlx9+7onYJk//XouxdIfLvQO+zEmP0UFWliTWuWsYMMFOrAYKkyJxkYmYZgYlY7mNI1Sn0aKT9Rym6xNHSeDlwVYy+5M3LkUBkZjg5M7OdCS+15b1IhP+8rJfus62wkr85F3/T07uXGwBBbbLLMFlZibWElf7U8wq1GmUmfdHi4avmWLWc7hov1O66tnelzHfNxsUJ35fPpL3l8uimfH3YV8sNvxewza9s5cY924TqxSpvYGNgu5/56XK6D5Zg2mjBZtfY2+JsUQPLgYoObOTsmGpYHY9X1qEZV/HrE0DPhpM1iCMUicqLRJqquodSt9nz3mq5OtHO2aVg9GyvIrvSgUUt63jJAH9fVmaHB0p7Mu2ogbaWqHFbUm/fK5+HCWde59rqo9zooLnkaIboONBtxCw+Xv8/sN34gMUdrJtI4cvbx9RvzeDUrmOaBQXQY1I09cZs5ZONNYKAPjsdXMLXLDL4/ZWp+fw0+bRk0NpW49Uew8Q0g0NeO419Oo8sj33PKEsSMDT4d+jF2/6csWXPYJIjG4sN8t2gZ60zHbc3H9/zE+kPgGxiAr+NRvpw6lke+P8rJtTOJGfMWOxzCaNd7EEO7h5KYJsLqE8OI2JMsWraeo9IRYCwg+fNHaB+7lIMNepadyso3l7BGRulGuf1yDnzPso9yiB0RY5p+07t5ESFidurEibO/izaV/ciZtA2Z7Fz6AW8HDGdAa+2pVl1on3/Fs3p9Ilbv3JjJepOKU2Jj23bCpscWbFqtQN/qd2y63SpiKGmc+owKue4myuPE+pOwOm90MkigdLuca3lCblxKRZLmhM8LXasPsWm3Bn2L9dh0uVGbtRVRXo8xRyz0wNbyhww6jjxF+dYbzb/t/zU/L/YZIRZ3jRkC07NlsSf0LdA3myQ7kjDmaw8IgtC3/BB91ApswlrJ32UYC0V8pQOr7Tvs1MQSNMPDrqkzt/Z2YdJQVzo5S7bzStmWrjUOA1sOS8cmmQ0PkFvGUEa8WK042WB6f03qsCBPOn7526J5DUSPr0WVDHLNMsr0eDmeVwQWytkulo9B4ovs4Mqkbi7cMtiNy2Oc6eSjo1iO7zxiPh4UbEcTNxuiop1Nz6U7yvGG3pEecp6mp0ZRlsw8I26u2tNKC9kyMNGsMRn8jRjuxvXdXLl3sBMBVQH+ZB6ySvj9pDn+IZe5Mr63G9dGSXuQa7M7yUBqcgnHrK7hxAHuxIpA9o2yxa5Md/71LOXZkXEmvWt6uHF7P1f6tXUkyMZY/d47F+fIe206XR/1XgfFJU8jRFf6Vc8ePLDwBbrGT6d9U0/TNK5H0348lXIF/33tOlo52tNk5MMs7Pc7U5p5yXFPgoavod2S6YwJMfVSfw26YEbOmEW/bVNp5uGKi0cow1fGsGTOlYTUaJW6JsOZ8fGVJD/WHR9XF1x9rmKhvhMTLQad6fjCHmyb0g4PrXxB17Oy3SzmjImi6bC7eEOE46pgrex+dJmv57nb+kgHE8SQR2dy9ZEZtPRxw8XVn+4LHP6/vTuBjqo+2wD+zCRkmywMQ9IhYmDIAhZCEtkhwYLsBFOWIuY7LCqcr0opakVRT1nkULD4IUihWLCVCoNKUMISCGUnQEAx7EsTmAABhpDJPlln6f/OkkzCUgk6H+rzO2fgZpa7TTLPfe+9c18s+ksyOt319OnG1IiPysWHXYLhL9ZZaNyfcWvSfMwc+Jjtj0reJh4vTrmBt+M7oN3r6XVVuY1t2RdixIW37NMWyz7gn0FY9NFkdLtve8Qq6NKXYMLv1+F4ScMwAtJgPfM6zPqr4gOjFWShwyAPjRaBK51MtlJUmrMcz5NkwnrzpGNYBFT+DhGWjh+lBoA3psB88aj4sGoOWXA/UQ33gkzqJFW8Beas12H1FONuESg+SXSwXvtYBJ7WfitaD2tpldhOko4XhzvG53RAPPeY+F8sn3qcqHZFdZ69DJZSUa4E9hLraxhk/qK0MKyF5fKnsNy04LUxWlyotr/ayVpaib/vr8QtiwiCKF90CxWVTEUNtu+rwEXbJ6IVupwaSJ+bkuqb1fhWOgQtPkwPXTPDLPNETDd/DJBOwn6gS5mbkHmuBmUWEQrtFBgZ5wWLCO8H/RCW5u/qiTJoL5pg9vdCt46iulPJUWmoxMbMapSKxy+fMmK7mFe5qNYTYkQYB8tQdqMCa76plbZFvpO8HFGRVlghl45r9lIgwmpGiXNxRYBszzDigthy81V6o3tHH7QVjxfWjfxh58GM9L1lkE4JUYb6iL8TLyhlZuQcL8eXYsPIUlSJVS7vYS+NJ3yra3HksBGZVU1Yz2J5tu2un17CE94I9bbgxvlybLj8oO/Q/ef9Qd33faBH3sM1PLBWoVg6k7awBj4tHocmrAUabkCaUJ6Xg2xR3QaERSBc5WPfIpN2uRpMUIQEwcfsMuz6WtfniGAouV0N7+C7PV9UasYiUf8FQqVw7IQ1lSIvW4fbpgCERbaF6p5tAsVry28gO7sACNYgsrUfqg2iUgoSGwqO3Yv2x/NhCngckeEt6+dRLLvhUg6ulnkiODICrf1ddgDfdfrSfBbCYFIgJMixHsSffVVJEaq9lQjyPIklseNxdn4alsWbkH21DJ62eQpsuGvZdoGMYlT5NBfj8UK18/XOZfzO05baKDqWFRUwGD3Qou4xNGp44CPuGCU2tjqK4dsiKFNhrZF22zYmXW2qE2Qyoyjy08Xi2U/gasAzUYynu/hf1DbGvSJYDzoecLxWOtO4ou4cckGa9mDIvL1grRTPlfdwDO8TiyDtv9AAfuI+D7EhUDdNcV/Qs6LiFuVqpZhGyV7bmG5mmDHcugt73ujR4HvNzoYHMi8PRLf2RKDZjHN5JpfAkMigbC5Hc5HvxjIz8qVD2TYyW+WmEbOZf6MWuVIl52PF7UILavw88JivWF3FZhQ5x+UhHm8uQ7MaC66IKkX64/Nv3gydRACZSkw4ZRC/iuLxWmkaZvtzUWnBdfEhK/EXVU5wM/v4bccMG6kbl3j9Bb250XPEMqg80b6FY1r59q8s1S2bmJvrxSJQ7jbfDg3Xkdi4CpAjSFRczmWRli9KPB4ifreldSitg2BRGUrjrZvWd5gH6T6ZlxxtRIVacZ/1/W/HenFynb+cmybo6153n/Vcc+e069VPz5Bfiwul9cvp+j42u2OdyRDSQg6/Wpd1c695d4yr/n2+c368Go3/fu/DAjY8eKSxy9CjwpTlCN0dWJX0/38O4k+xy1B2pgXZI29hQNuGx7jZZYh+Sthl6NF2rxKQ3E3mAa9AP/iKLVj6YUT2lN8RuERE7sRKl4iIyE1Y6RIREbkJQ5eIiMhNGLpERERuwtBtTPqqkl4PvcH437+w34D0FZxb0OtvwWD8AS8AQkREP1oPFbrWon2YFRcChaIv3tyld3wX7cfKjPLzKXgz8UmEhYcjPKwz+k//DOfLa1Cw/Q8IsV1/udGt9wqcNov1UH4G66cPhSasHcLD2yFMMxTT15+58wpPRET0s/YQZy+bcHv724gbs9zWEUM5Xouv/5qEVs6rK/zIWIsPYv4zz2FByUDMfnM4Wudtw3tzt0E+MwXbfm3Aht1X6jYqpOsNf7L4Kxhsy9wP+qUTEP/OeSRMfRWT+/ji/LpFWLitFWbu/Bx/7CNdwJ+IiOhhQteai5TnEzExzQ9xEQZk5QzGmuNLMMZ2mUepafp+ZOT6omPXQGSn7cPFMg+0iB6AUf0j7dentZYh90Aa0rJuokYWgLBegzCsmz90ew7h3xUqxAzsibbeBltj98vVPgjr0Rdxag/7eC8D7eKfQrTKipKcw0jbeQK3ajwQEN4HwwfGQO0jtzV9T8+4hoDOXdHm9mHsOKHEkEmRuLL2c3zt9xTGP/skVHUbCDW4lvIKukw8glHazfhr0uOQWa5h/6ovkYVYjJni2kavGrr1U9Fj8jk8n/oVFg6oxeYpQ5Cs7Q/tpcVIUgP61NcQnrxH3PdoXOiCiIgeDU0OXeu1FDzfZSJ2jVqDrSOOIXHsVsSv3gztcxGQw4isJaNF9aeDRmOETifVwpI4TEn5DB8MDUFe6kwkJn+EHMcjQHdMS12Okd++hv5zg7D0m0/wonInfts5GWuNajy9Yjs2TfDA5+OGYfKh0Ug9PRux5z7EhJFzsN/ZGQQKRIxfgU3LRuPxM0sRG/8O8jUatNTpcEUzH/s3KPFu15exW/FbpJz7M4a2dF6IIh+73ngGScsfw6zVz6B2Twp2XAvF4OQXMCW5O9S2S0I6VB7HkmFJeAdvICNtGuJ8zSg49IGYjzXwnzYD/9MZOCVVuhcTkZI+D0PVjrYiRET0s9fEY7pVuLRnEzYYO2J0Um/EdO+H0cor2LL+EBpeC9yI4HFrkFNwG7lpc0SsZkG7/TQMIuS+3bpTBG5/vJV6EnlXspD22Svo4euH9n0S0Bon8K8TeSi9mIVdtkDVI3PvKVwv0iHrUB6UoxMQo7iIL2Ytxf6A/8Wn52+jvESHnbN7IufTjxo0yjfmR2D0ik+hff9paNqPxOK0DdiYPgMD6wJXUgNjkXSV2h14d/K72FEYhF+U78LClybghQ8yXdq1mVF46CssOxaIxEmD0MnWm9YDzcNj0bVDMbYtfBnJyS9j4bZ8RPSMRts7mtQTEdHPWdNSofYy9qUcEQNKeF/PxObD1+DdTgns3oydZ+vKTuEJDB3UDa1EmAa3j0KEuMdYWQMT1OgzaTKGa45iQVIMWv9yMlYdK0BgqApB0fEYq87Doaxj2HtgP/Stp2HRgiQYdx3B10eycKBIgwEJT6ClrWG8CFf9Rxj/RDD8gzQYNFdqzHcZX+cU1HUQUU76HV6bOApJQ6Khkgci4qlhGBKnvkd/Wg3GrE7Hvo1rkbJdizndjdi/dAu+KXZc9d2iQ/rqL6FXDkLyoHB782nrFWya+Sr+7/JgvL/nFC5dOocDS5+BYe18zN2ia0LHGCIi+qlqQuhaUXNhP9bv0YvhDCyfPl5Ud69i+XGpujyKjQcvuXTp8IBX4x6oDr4dxmHxpt3Ym6bFimkanF78ezz31lbkKiLRO7EjitI/wcrt2VCPHYKxCT0QXZSOvy1LxWnEol+sGjJb03Yxou4zoT2QgYyMg2JcG6HVrsTcwW3qFqy5CPIAx7CN2QTTHTvUVYjqIXXQCUZEmMoWyDJ/NTRhgaIIrkatLXOtqDyZhr9tKUDUC79GX+duY3MR8r7RiQlFo2eXcKjVbRD3qwQ8CVH57zkranoiIiK7JoRuGc7uTkcmYjBVe1xUdpfst9NaTFUXIfOTnThR8V/qO0suNk/tj/a9ZyG9OBjR8T0QKwplo8GIKoQgrn8vKHIO4+DJUCT2joKqfVcMb63DwYNZwNMD0aedj8hJqWF8HHBsH3Yf1UF/8xS2vDcdyVM34VLt3U+hthYfwaIRnRE77mOcrnRNXh9RAQ9HouIYls1biFUpX0K7aA7mpVyBclRfxKrEhoP1No59lYpj6I2JI5+E0jkJj5bQxEcBui+w4i+fITX1C6z88J/YjTYY0b+jWBoiIiK7Bw/divP4l/YwoB6E4f2iRGWntt/axWO4FIJnd2HfmVLHk+9BrsGI2bMwucMpLEweiITEGUhRPYf33xuJDh6e+EVMT/STnqfoioROLSHz64C+Y8W4oUTPIXEIk+ba1jB+Af40xoiPZ4zHmN9MxeKrXTFn3dv3bpRfVYTr1wuQX1YpqlfX0JWhWeSzWLphHn6V9w+8MnE8pszdBvPweVg3Zwhayaww5e7B31dmQjHiWSTFiArYydY8/kMxHxZo33lRVP3PY8bHheK+FVjym/Am7r8nIqKfogc/e9nRRL3SMwAtVQqXY6P2RukFZWb4NldBYS4Ww0BAyxb2hvANmq/bm6VbqwpxVXcNhSYFWrVrC7WzCf0d03Add8v6hu0SUzn0ubm42biZvHRlqYJyMQOq+ub2tqbxBhg9lS73uRLTcTStr/IJQWRkKPwdZy5bq0qQX1wFzwbjc1HX1F5MslVbtFX73+O4MRER/VyxtR8REZGbcO8nERGRmzB0iYiI3IShS0RE5CYMXSIiIjdh6BIREbkJQ5eIiMhNGLpERERuwtAlIiJyE4YuERGRmzB0iYiI3IShS0RE5CYMXSIiIjdh6BIREbkJQ5eIiMhNGLpERERuwtAlIiJyE4YuERGRmzB0iYiI3IShS0RE5CZNDF0zTCarfdAqhs32YavJJB4hIiKiu3nw0LUacHTRWITGvoDVx48j5aUEhPabja0H1+GlLh3Rb2Y69I48JiIionpNqHQrUXj9Foz5RpRXFCP/ugHGklKUGG7h+s0ilJRWoZahS0REdAeZ0Wh84Ii0VpUg3+gJlcoPMBbCYFIgJMgTFYYimBQqBPnwUDEREVFjTQpdIiIienAsSYmIiNyEoUtEROQmDF0iIiI3kctkMscgERER/VCkvJU3a9bM8SMRERH9UDw9PSGX/vHw8HDcRURERN83uVxuD13pBy8vL1vZS0RERN8vKV+dOWsLXWnA29ubwUtERPQ9cuarVOnafrYKtiFBGqypqYHZzLYFRERED0MK2sYFbYPQdTKZTLabxWJx3ENERETfhRSy0knK0jHcxu4auk5S6Eo3Vr5ERET3J1W20onJzl3Jd3Pf0CUiIqLvD69IRURE5BbAfwARtGUxY9m81AAAAABJRU5ErkJggg=="}}},{"cell_type":"markdown","source":"A core problem in drug discovery is understanding how molecules such as small-molecules interact and form complexes with target proteins (process known as drug binding) which is a prerequisite for virtual screening for drug discovery.  This is what makes this competition very interesting as this is the first step to even see if a small molecule will bind to a protein.","metadata":{}},{"cell_type":"code","source":"!pip install rdkit -qq\n!pip install py3Dmol -qq\n!pip install biopython nglview -qq","metadata":{"execution":{"iopub.status.busy":"2024-07-01T17:20:12.409134Z","iopub.execute_input":"2024-07-01T17:20:12.409517Z","iopub.status.idle":"2024-07-01T17:20:28.543728Z","shell.execute_reply.started":"2024-07-01T17:20:12.409485Z","shell.execute_reply":"2024-07-01T17:20:28.542303Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"import pandas as pd\nfrom rdkit import Chem\nfrom rdkit.Chem import AllChem\nfrom rdkit.Chem import Draw\n\ndf = pd.read_csv('/kaggle/input/leash-BELKA/train.csv', nrows=1_000);  df.head(2)","metadata":{"execution":{"iopub.status.busy":"2024-07-01T18:10:16.288844Z","iopub.execute_input":"2024-07-01T18:10:16.289284Z","iopub.status.idle":"2024-07-01T18:10:16.384851Z","shell.execute_reply.started":"2024-07-01T18:10:16.289251Z","shell.execute_reply":"2024-07-01T18:10:16.383678Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"The paper states that LLMs can be effective in **Lead Discovery and Compound Screening** where binding affinity can be predicted between a chemical molecule say a samll molecule and a protein.\n\n![fig 2.png](attachment:60141071-ec81-4c08-b589-ae0b888e8c51.png)\n\nSource: [Figure 2: Tx-LLM may be effective for end-to-end therapeutic development](https://arxiv.org/abs/2406.06316)","metadata":{},"attachments":{"60141071-ec81-4c08-b589-ae0b888e8c51.png":{"image/png":"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"}}},{"cell_type":"markdown","source":"Similarly:","metadata":{}},{"cell_type":"code","source":"#Small molecule\nchem_one = df['molecule_smiles'][0]  \nmol_one = Chem.MolFromSmiles(chem_one) \nimg = Draw.MolToImage(mol_one, size=(400, 400)); img","metadata":{"execution":{"iopub.status.busy":"2024-07-01T18:18:01.638419Z","iopub.execute_input":"2024-07-01T18:18:01.638949Z","iopub.status.idle":"2024-07-01T18:18:01.676475Z","shell.execute_reply.started":"2024-07-01T18:18:01.638906Z","shell.execute_reply":"2024-07-01T18:18:01.675462Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"from Bio.PDB import PDBList\nimport py3Dmol\n\n# Download the PDB file for BRD4 (PDB ID: 3UVW)\npdbl = PDBList()\npdb_id = '3UVW'\npdbl.retrieve_pdb_file(pdb_id, pdir='.', file_format='pdb')","metadata":{"execution":{"iopub.status.busy":"2024-07-01T17:34:19.140842Z","iopub.execute_input":"2024-07-01T17:34:19.141926Z","iopub.status.idle":"2024-07-01T17:34:19.174736Z","shell.execute_reply.started":"2024-07-01T17:34:19.141881Z","shell.execute_reply":"2024-07-01T17:34:19.173578Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Load the PDB file into py3Dmol for visualization\nwith open(f'pdb{pdb_id.lower()}.ent', 'r') as pdb_file:\n    pdb_structure = pdb_file.read()\n\nviewer = py3Dmol.view(width=600, height=400)\nviewer.addModel(pdb_structure, 'pdb')\nviewer.setStyle({'cartoon': {'color': 'spectrum'}})\nviewer.zoomTo()\nviewer.show()","metadata":{"execution":{"iopub.status.busy":"2024-07-01T17:44:26.613964Z","iopub.execute_input":"2024-07-01T17:44:26.614371Z","iopub.status.idle":"2024-07-01T17:44:26.633117Z","shell.execute_reply.started":"2024-07-01T17:44:26.614329Z","shell.execute_reply":"2024-07-01T17:44:26.631724Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Overview & Costs\n\n<div class=\"alert alert-block alert-warning\">\nBe aware of the costs involved with using Open AI for Fine-tuning models.\n</div>","metadata":{}},{"cell_type":"markdown","source":"**Link to Costs:** [OpenAI Pricing Page](https://openai.com/api/pricing/)\n\n![fine_tuning costs.png](attachment:dfa3ca71-d9e5-4436-9155-66806c0f2542.png)\n\nFine-tuning pre-trained models has become a crucial technique in modern machine learning. For this example I used **GPT-3.5-turbo**. This approach allows us to tailor these versatile models to specific tasks or domains, enhancing performance and relevance.  Please note I did not test this against general 'prompt engineering' methods. More about costs and token usage in the **Data Preparation** section.\n\n**What is a Token?**\nYou can think of tokens as pieces of words used for natural language processing. For English text, 1 token is approximately 4 characters or 0.75 words. As a point of reference, the collected works of Shakespeare are about 900,000 words or 1.2M tokens.  Another way to look at this translates to roughly ¾ of a word (so 100 tokens ~= 75 words)\n\nThis is also a bare bones quick iteration 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"}}},{"cell_type":"markdown","source":"### Costs Incurred","metadata":{}},{"cell_type":"markdown","source":"The total cost for fine-tunning and getting predictions on the entire submission test-set was **$472.34** and invloved the use of over **1.5 million** tokens.","metadata":{}},{"cell_type":"markdown","source":"# Load Dependancies","metadata":{}},{"cell_type":"code","source":"!pip install --upgrade openai -qq","metadata":{"execution":{"iopub.status.busy":"2024-06-30T00:50:17.926117Z","iopub.execute_input":"2024-06-30T00:50:17.926580Z","iopub.status.idle":"2024-06-30T00:50:38.736800Z","shell.execute_reply.started":"2024-06-30T00:50:17.926545Z","shell.execute_reply":"2024-06-30T00:50:38.734778Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#For token counting\n!pip install tiktoken -qq","metadata":{"execution":{"iopub.status.busy":"2024-06-30T00:50:38.739850Z","iopub.execute_input":"2024-06-30T00:50:38.740276Z","iopub.status.idle":"2024-06-30T00:50:55.909033Z","shell.execute_reply.started":"2024-06-30T00:50:38.740239Z","shell.execute_reply":"2024-06-30T00:50:55.906856Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"!pip install rdkit -qq","metadata":{"execution":{"iopub.status.busy":"2024-06-30T00:50:55.911622Z","iopub.execute_input":"2024-06-30T00:50:55.912194Z","iopub.status.idle":"2024-06-30T00:51:16.094085Z","shell.execute_reply.started":"2024-06-30T00:50:55.912141Z","shell.execute_reply":"2024-06-30T00:51:16.092437Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"import openai\nimport os\nimport json\nimport numpy as np\n\nimport tiktoken\n\nfrom pprint import pprint\n\nfrom collections import Counter\nfrom collections import defaultdict\n\nfrom rdkit.Chem import AllChem\n\nfrom tqdm import tqdm\n\nimport nest_asyncio\nimport asyncio\nimport aiohttp\nimport time","metadata":{"execution":{"iopub.status.busy":"2024-06-30T01:07:19.971396Z","iopub.execute_input":"2024-06-30T01:07:19.971766Z","iopub.status.idle":"2024-06-30T01:07:19.984721Z","shell.execute_reply.started":"2024-06-30T01:07:19.971738Z","shell.execute_reply":"2024-06-30T01:07:19.983714Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"You will need to have either your project API Key (preferred) or legacy user key to use OpenAI with your Kaggle notebook (Please remember not to share your API key).  To get your key head over to the API key section in your [profile page](https://platform.openai.com/settings/profile?tab=api-keys).  Once you have this you can then use it like so:","metadata":{}},{"cell_type":"code","source":"os.environ['OPENAI_API_KEY'] = 'YOUR_KEY'","metadata":{"execution":{"iopub.status.busy":"2024-06-30T00:51:17.883810Z","iopub.execute_input":"2024-06-30T00:51:17.884489Z","iopub.status.idle":"2024-06-30T00:51:17.890345Z","shell.execute_reply.started":"2024-06-30T00:51:17.884453Z","shell.execute_reply":"2024-06-30T00:51:17.888719Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"You can now import and instantiate a client for interacting with OpenAI's API","metadata":{}},{"cell_type":"code","source":"from openai import OpenAI\nclient = OpenAI()","metadata":{"execution":{"iopub.status.busy":"2024-06-30T00:52:40.166346Z","iopub.execute_input":"2024-06-30T00:52:40.166744Z","iopub.status.idle":"2024-06-30T00:52:40.188328Z","shell.execute_reply.started":"2024-06-30T00:52:40.166717Z","shell.execute_reply":"2024-06-30T00:52:40.187085Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Data Preparation","metadata":{}},{"cell_type":"markdown","source":"The data needs to be formatted in a specific format to ensure the model understands the context and flow of dialogue, specifically it needs to be a list of messages where each message has a role, content, and optional name.  In this example we will use the values in 'molecule_smiles', 'protein_name' and 'binds' and use those values to create a user message that sufficent to submit to the training model.","metadata":{}},{"cell_type":"code","source":"system_message = 'Tell me the probability of molecule_smiles binding with protein'","metadata":{"execution":{"iopub.status.busy":"2024-06-30T00:59:01.667204Z","iopub.execute_input":"2024-06-30T00:59:01.667619Z","iopub.status.idle":"2024-06-30T00:59:01.672704Z","shell.execute_reply.started":"2024-06-30T00:59:01.667587Z","shell.execute_reply":"2024-06-30T00:59:01.671446Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"def create_user_message(row):\n    return f\"\"\"molecule: {row['molecule_smiles']}, protein: {row['protein_name']}\"\"\"","metadata":{"execution":{"iopub.status.busy":"2024-06-30T00:59:02.013160Z","iopub.execute_input":"2024-06-30T00:59:02.013553Z","iopub.status.idle":"2024-06-30T00:59:02.019561Z","shell.execute_reply.started":"2024-06-30T00:59:02.013523Z","shell.execute_reply":"2024-06-30T00:59:02.018415Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"def prepare_example_conversation(row):\n    messages = []\n    messages.append({\"role\": \"system\", \"content\": system_message})\n    \n    user_message = create_user_message(row)\n    messages.append({\"role\": \"user\", \"content\": user_message})\n    \n    messages.append({\"role\": \"assistant\", \"content\": str(row[\"binds\"])})\n    \n    return {\"messages\": messages}","metadata":{"execution":{"iopub.status.busy":"2024-06-30T00:59:02.368550Z","iopub.execute_input":"2024-06-30T00:59:02.368966Z","iopub.status.idle":"2024-06-30T00:59:02.376622Z","shell.execute_reply.started":"2024-06-30T00:59:02.368932Z","shell.execute_reply":"2024-06-30T00:59:02.375109Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"pprint(prepare_example_conversation(df.iloc[0]))","metadata":{"execution":{"iopub.status.busy":"2024-06-30T00:59:03.583974Z","iopub.execute_input":"2024-06-30T00:59:03.584469Z","iopub.status.idle":"2024-06-30T00:59:03.592448Z","shell.execute_reply.started":"2024-06-30T00:59:03.584436Z","shell.execute_reply":"2024-06-30T00:59:03.591085Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"Note that To fine-tune a model, you are required to provide at least 10 examples. The documentation states that you typically see clear improvements from fine-tuning on 50 to 100 training examples with gpt-3.5-turbo but the right number varies greatly based on the exact use case. It is recommended to split the data into a training and test portion. When submitting a fine-tuning job with both training and test files you can view the training statistics.","metadata":{}},{"cell_type":"code","source":"training_data = df[0:900].apply(prepare_example_conversation, axis=1).tolist()","metadata":{"execution":{"iopub.status.busy":"2024-06-30T00:59:05.408132Z","iopub.execute_input":"2024-06-30T00:59:05.408539Z","iopub.status.idle":"2024-06-30T00:59:05.442076Z","shell.execute_reply.started":"2024-06-30T00:59:05.408502Z","shell.execute_reply":"2024-06-30T00:59:05.441005Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"View how the training data look like","metadata":{}},{"cell_type":"code","source":"for example in training_data[:10]:\n    print(example)","metadata":{"execution":{"iopub.status.busy":"2024-06-30T00:59:07.694108Z","iopub.execute_input":"2024-06-30T00:59:07.694505Z","iopub.status.idle":"2024-06-30T00:59:07.700845Z","shell.execute_reply.started":"2024-06-30T00:59:07.694476Z","shell.execute_reply":"2024-06-30T00:59:07.699556Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"The documentation provides ways of how you can check for formatting errors to validate that each conversation in the dataset adheres to the format expected by the fine-tuning API.  It also provides ways to check the number of tokens usage and estimated costs.  The code below is from [here](https://cookbook.openai.com/examples/chat_finetuning_data_prep)","metadata":{}},{"cell_type":"code","source":"# Format error checks\nformat_errors = defaultdict(int)\n\nfor ex in training_data:\n    if not isinstance(ex, dict):\n        format_errors[\"data_type\"] += 1\n        continue\n        \n    messages = ex.get(\"messages\", None)\n    if not messages:\n        format_errors[\"missing_messages_list\"] += 1\n        continue\n        \n    for message in messages:\n        if \"role\" not in message or \"content\" not in message:\n            format_errors[\"message_missing_key\"] += 1\n        \n        if any(k not in (\"role\", \"content\", \"name\", \"function_call\", \"weight\") for k in message):\n            format_errors[\"message_unrecognized_key\"] += 1\n        \n        if message.get(\"role\", None) not in (\"system\", \"user\", \"assistant\", \"function\"):\n            format_errors[\"unrecognized_role\"] += 1\n            \n        content = message.get(\"content\", None)\n        function_call = message.get(\"function_call\", None)\n        \n        if (not content and not function_call) or not isinstance(content, str):\n            format_errors[\"missing_content\"] += 1\n    \n    if not any(message.get(\"role\", None) == \"assistant\" for message in messages):\n        format_errors[\"example_missing_assistant_message\"] += 1\n\nif format_errors:\n    print(\"Found errors:\")\n    for k, v in format_errors.items():\n        print(f\"{k}: {v}\")\nelse:\n    print(\"No errors found\")","metadata":{"execution":{"iopub.status.busy":"2024-06-30T00:59:10.461078Z","iopub.execute_input":"2024-06-30T00:59:10.461915Z","iopub.status.idle":"2024-06-30T00:59:10.482399Z","shell.execute_reply.started":"2024-06-30T00:59:10.461873Z","shell.execute_reply":"2024-06-30T00:59:10.481070Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"encoding = tiktoken.get_encoding(\"cl100k_base\")\n\n# not exact!\n# simplified from https://github.com/openai/openai-cookbook/blob/main/examples/How_to_count_tokens_with_tiktoken.ipynb\ndef num_tokens_from_messages(messages, tokens_per_message=3, tokens_per_name=1):\n    num_tokens = 0\n    for message in messages:\n        num_tokens += tokens_per_message\n        for key, value in message.items():\n            num_tokens += len(encoding.encode(value))\n            if key == \"name\":\n                num_tokens += tokens_per_name\n    num_tokens += 3\n    return num_tokens\n\ndef num_assistant_tokens_from_messages(messages):\n    num_tokens = 0\n    for message in messages:\n        if message[\"role\"] == \"assistant\":\n            num_tokens += len(encoding.encode(message[\"content\"]))\n    return num_tokens\n\ndef print_distribution(values, name):\n    print(f\"\\n#### Distribution of {name}:\")\n    print(f\"min / max: {min(values)}, {max(values)}\")\n    print(f\"mean / median: {np.mean(values)}, {np.median(values)}\")\n    print(f\"p5 / p95: {np.quantile(values, 0.1)}, {np.quantile(values, 0.9)}\")","metadata":{"execution":{"iopub.status.busy":"2024-06-30T00:59:11.232980Z","iopub.execute_input":"2024-06-30T00:59:11.233407Z","iopub.status.idle":"2024-06-30T00:59:13.825375Z","shell.execute_reply.started":"2024-06-30T00:59:11.233374Z","shell.execute_reply":"2024-06-30T00:59:13.824239Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Warnings and tokens counts\nn_missing_system = 0\nn_missing_user = 0\nn_messages = []\nconvo_lens = []\nassistant_message_lens = []\n\nfor ex in training_data:\n    messages = ex[\"messages\"]\n    if not any(message[\"role\"] == \"system\" for message in messages):\n        n_missing_system += 1\n    if not any(message[\"role\"] == \"user\" for message in messages):\n        n_missing_user += 1\n    n_messages.append(len(messages))\n    convo_lens.append(num_tokens_from_messages(messages))\n    assistant_message_lens.append(num_assistant_tokens_from_messages(messages))\n    \nprint(\"Num examples missing system message:\", n_missing_system)\nprint(\"Num examples missing user message:\", n_missing_user)\nprint_distribution(n_messages, \"num_messages_per_example\")\nprint_distribution(convo_lens, \"num_total_tokens_per_example\")\nprint_distribution(assistant_message_lens, \"num_assistant_tokens_per_example\")\nn_too_long = sum(l > 16_385 for l in convo_lens)\nprint(f\"\\n{n_too_long} examples may be over the 16,385 token limit, they will be truncated during fine-tuning\")","metadata":{"execution":{"iopub.status.busy":"2024-06-30T00:59:13.827519Z","iopub.execute_input":"2024-06-30T00:59:13.827961Z","iopub.status.idle":"2024-06-30T00:59:13.949168Z","shell.execute_reply.started":"2024-06-30T00:59:13.827909Z","shell.execute_reply":"2024-06-30T00:59:13.948071Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Pricing and default n_epochs estimate\nMAX_TOKENS_PER_EXAMPLE = 16385\n\nTARGET_EPOCHS = 4\nMIN_TARGET_EXAMPLES = 100\nMAX_TARGET_EXAMPLES = 25000\nMIN_DEFAULT_EPOCHS = 1\nMAX_DEFAULT_EPOCHS = 25\n\nn_epochs = TARGET_EPOCHS\nn_train_examples = len(training_data)\nif n_train_examples * TARGET_EPOCHS < MIN_TARGET_EXAMPLES:\n    n_epochs = min(MAX_DEFAULT_EPOCHS, MIN_TARGET_EXAMPLES // n_train_examples)\nelif n_train_examples * TARGET_EPOCHS > MAX_TARGET_EXAMPLES:\n    n_epochs = max(MIN_DEFAULT_EPOCHS, MAX_TARGET_EXAMPLES // n_train_examples)\n\nn_billing_tokens_in_dataset = sum(min(MAX_TOKENS_PER_EXAMPLE, length) for length in convo_lens)\nprint(f\"Dataset has ~{n_billing_tokens_in_dataset} tokens that will be charged for during training\")\nprint(f\"By default, you'll train for {n_epochs} epochs on this dataset\")\nprint(f\"By default, you'll be charged for ~{n_epochs * n_billing_tokens_in_dataset} tokens\")","metadata":{"execution":{"iopub.status.busy":"2024-06-30T00:59:13.950352Z","iopub.execute_input":"2024-06-30T00:59:13.950668Z","iopub.status.idle":"2024-06-30T00:59:13.960784Z","shell.execute_reply.started":"2024-06-30T00:59:13.950639Z","shell.execute_reply":"2024-06-30T00:59:13.959310Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"You can calculate the number of trained tokens using this formula:\n\n(Tokens in your training file * Number of training epochs) = Total training tokens","metadata":{}},{"cell_type":"markdown","source":"OpenAI also has a useful tool to understand how a piece of text might be tokenized by a language model, and the total count of tokens in that piece of text.  You can find the link [here](https://platform.openai.com/tokenizer)\n\n![token.png](attachment:858d3905-b3c9-4a9a-97de-6ac8e79e9b6a.png)","metadata":{},"attachments":{"858d3905-b3c9-4a9a-97de-6ac8e79e9b6a.png":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAowAAAGqCAYAAACBLhVgAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAHhJSURBVHhe7d0JeBXV3T/wL6AGQghLEojKnlQ2WWpFEBVEy1IrfUWUVt+6YEFUaq2tov9WWt5i+1bwta9aF4SKaKuvKEsVLUsVRWWR1gYQEA0CARQkbCFEogX+55w5c+fM3Lkzc5Oble/neQL3zty5d+bMmTO/OctMg46d8k6AiIiIiCiBhvp/IiIiIiJfDBiJiIiIKBADRiIiIiIKxICRiIiIiAJx0AvVbg0a4HhGY5xofBpwqry+aWBNp1pKFCdfH0eDo1+hYelR8ZbFCxFRfcAaRqq1ZJB4rE0LnGjWRASLjcQUBou1n9hHYl/Jfab2nQz0iYiozmPASLWSDDSOt8oQOZRBYp0l9p3chwwaiYjqPgaMVPvIZugWTfUbquvUvhT7lIiI6i4GjFTryD6LrFmsR2RNo9ynRERUZzFgpFqHTZj1D/cpEVHdxoCRah81GprqFe5TIqI6jaU41UJsjq5/uE+JiOqyKrkPY87AO3FN7wz9TtixDI8seNd63foK3Pj9nsi03jnUZ3Zi0A3XoXfcTNtOvPHoLGzQ79wuxMjbB6OdfFmyHi/MXoC9anpUHWO/vePNKZjv/yOp02MMfnJJW3fa1CGxfVwF63/sjFb6VVRpOHF+Vxw3xsk0XLsWDewMkNMRx3o3128cDbZ8hIZbG+PEtzviuJ4W58jnaLjyC0+44/m9KJ+xfbENjdYd0m9sns/6fsbU3LPO5eL3P0KDI/ptr9441lq/jtGfSfdPC5uVJuX6nduJTmId89LUa1f6RtTos/36VSpk4uuJ38MRo5hpsvTPSHtHv7loIA4Oaa/fOE5d+wqazm2B8t8MxJd6WpzSAmRO/dBzNe35Pd/PSM7nmix9BQ3Pl69L0HT2Kzh1i/5ILXJ81PdQogq95Wgxo0hPJSKKl/Iaxh5XTHIHi1K7wfjJFRfqNwmoz5yt3yQvZ2BfK1isoJyBI6svWKwH9i7/A15YW6r2240DO+qpNUEGT/GB2fHevXEiR79J4ESeWK7TqfpdVD6BYNPTcbxX4iAsVC/P97UWwWAnKzCL07Q1jscFuGk4LtbphDc4ddGfqfDYE7F9Olisee1FwOcOFqUvh/wQ5RfpNwl83VssN6qJfhdVfHCKjD4oGRcfkB4fdbEOFo3gtRZrOPcVZK4tEcfxQJEuCa/UiYjQqEXLVpP168rrMQbX9JGFTinWvvgA5ixbjtXvH8cZ/TqhefNOOOPIcnxU1hV9zm6DNFkL+NRTWPa++Zlj2PDUw1iophWhcbfeyE2TtYr2tAL/WsPWV2D0pe2QtmMndjTPRPPyL/Dh2o9QpmeHuxDDvtcFzcU6vb40meUqYW+B2B6xTR/V3av6su2nqP3WOjcLpYn2TQWoG3VHZQdbspZv+ado+OkeNDzcBCdyG4u/JuL9QRFktVDvVc3dyu3WZ/acECfJZjiRdgQN7OU+PYoGncVnze/aKeZbv2TJaYfj7cR3xT6jl2naQLwWvxUjooauYrr5m+p3vbV3IuDtKT6HQ2j0983Oev271OezIlg9txNOyPEjxvc2ONESJ1qJea1OoIFc3za5KniUtYANP7R+1/4MDonlPthlrYtOJ1mraE9rcPCY9VNeKp3L0fCLY+K7T0GDPeKzSR4oDQ8nrNNLyrFxI3BExueylu/+v6PJsnVo/O8WOJrXHP/Oa4FTl4l06dBBvVc1Z//zDhrLzxQdx7E+ufg6Yy/S7eWWHUSDwR3wb/O73vPUFl/UD4e7ie+KfUYv07yB9Vv6YzKQ/eqas9R3pb8gv0ME6Rd0wdenleO0tZvR6ID+WC3TYNOXanvKxfHi3h4iIkdKA8YeF4xAZ1Gulqx9EX/daJ88i7DvyHF8uPDPKGrQUQRjuVbA6ArqGqKNCg4b4vC2VdiumtZaoGMfOa0EW0OCkR5Drka35iKwfPYTZMnA0/Xdsqn5dvzHwEHo10/8dWuFTz3BZM7AUbgg9zSUfLQEK7bb6x2wnGxO/sEIa7r4U4GwXEE9vdsZeegzZAQG2st93hWjb7raeS+/x/5s4yIUbD8bI2+/AUO75eGMPiMwVP9m7Hs969Kt27cwcOAQvawRpMjmfvt31F+eE8glWmfJs5zzvbKZP2i9itDojEFin2fiVPP7Kil6wGgHWyKQ+ed2NPhaTy77UgQnxSJYKhXBzTE0OFV8RgaMRw46QdjXpwAy0DvtuAiU7DQUn5HTvi61Ai891XRCBmOtTkHDTZ/qgEkvc+SAZxlrOtAEx7ueiROdxXJtdEBnfcDRJlush9gGuR4tcnBcrGvDQrE9ZiaVmmaJ72kmXojgcuUea5rQ4ODXYnvFiX7nv8V2ie3VAaMZ1DU4NcNKAzMQ1YF0gwPFiQNFSdZqdm0mAstCNPhKBp41GTC2x9dXiGANJWj6wjs4xQ7Cig7g1H9vRvrs3UBeORo00wFjyXY0/kA37x8QFxEy0DvtK5wWC4ya45ic9tVupHkDRe14394imEpDk7f/jlPV9Z1epnSrK7g8PmoQjojPnbrpfaRtkmkcEjDmnY0jdw5F2eBeOCr+jrXahtPUcoJsUh97kZp+dHBHHOvbF2XDdDCsajyvxuFh1nJHB9vTLcfG/RAlV5jzTuDr34xAqfk5+7f7Hsdp732Chvm98FXz5mj073U4hS3TROQjhReTHZEtr/pRiq0fbVNTbHs3vKuClr1fuKc72qKVag05iOIv1IToRCB0aTvZlOzXt9HplxiT2RPX3HAFzNbK1vKJIsKhffb6BSwnAy/Z99DQ7pJJGNlDvxEy27UVRbomlzP7bIr3303UhJvZFu2M32x3yRj08FmXzExPW5wiPvcdb9/QtrhUdgUIWmefPqWZva9zNzP7rpfli/2l6v/mWTXQLN00TT65WASC+8WfmqKJk+5eeeIVgYNruiG2bJn1f0QNtn6ERn9fK4Il2TTcG8d083DDQk+wob//hPg/xrfpWqxjoQxoRBAiv69388T9A9PTrXX9wht5iOXl54+I77ImxDmh74PY4PBR9X90Yjt6na5qXRsk6NtYrfIyRbAolH6KRq4+gSVo9E6J+r9hor6CsWX3J0wnP7LZtsWv/oy0z0SQ9Zsf4qDu/9hkpbsP4wmrEMMpX8j1CNMe5Tf0gX2NI8nmctWkHtf/UgSIsUPep3lcfNdh3Twug8XDrr45Yt5vOoo8JdepPf6tm+yP9+ksflsE3XOtbWiw31rnf7d2lyBERLYUBozx5MCIn9w+yfkz+zHKQCo2Tw9W2fFJggEtkqztMr5LBX0iSDpXBEIl6/Gu34Kt+6CTLP9k8/ejU/CI+Htjh3gvfvtCI8CL47vcTrzxtwJ0/oYVeMm+jnL6Iy+uF8WuCKLONYJQe7k3d/q+z2zlDt4csilffu9zUOU7WiC7a/y6xL7XRQfdsc+J79ghXi94Fz0C1vmsrp1UsFiy9jlr3qPLoJKo9+BYUOi7XnGDKmoDEdycL4M458/Vj7F1R2fe+SIIEpMa7D4UEDzI/pHG953fOmFweSLD07/viAggt4gASzYdiwCz0d+3WQdba/G7rr6G4jdcg1DEMrLmTvVVFL8Z2DfSs37fdvdjlP047XnWYBURUH4REPTZv2n/yd/OEUGubN72BsS1hgygZBDn/Ln6MbYTwZc9Twdop24pCij4ZP9I4/smnp1wQFRlgqvjo/qooFMOwpHBaIvZBZC9ab/s2h7HxJ8k+0Gqeb96BU2t6zKl0Vx7urMcWmaK9RQBoSpIi9BMz89cW4Sm4jONCgog6+3l98s0OyaC5/igm4gosRQGjNtQrFp+MtCpawVqmyoy2rbHYKvmLRZ86sBTvx/Zu6UVDG11mrTtGrFAOfHLbVgwCxu+ABqr8/dOfGwHqF8Uy/odl9hyew+owAyHit3vEynZio2qhtVOy2S8i/kyEIylxXXo3a4lWoug2qr59V/nlqp21awV3gld2eCo1HpVIbtGrWkr8aemJCVoRHAoERA2VIGg+I4jImDM6+QJBHVtZGy0swhM/WrPe8kaStl/UXzXys/F9sjBKSJY0wFtw8+NBC8rs7a3dUv1Njnl7pHUkZyKE/lWwGoHn/YoafU+IICuMltKcIr8P6OzCHrUlKRYo6QDj8LEtnyIpkYA93Xvi/F1BdZBsmsjZa2iGcxagV8QqwZV1iS6lpPsGtQd4iJFTZC1o8tFgCyXKcIp8kqwnbhoymuPr8RhHxw4ExG5pbS82PCJrkHrPRKDWov4aPkfVK2VGk3rZdaYyb/QYFEERObno9w2p9QK0DI79YnV/tnNzyZ7vWPNqjqwM5fLGXgFesQCprY4y65+a52NoDqgSttfgK1qZYwaWU/zsi2nayccsmsRVU2hbJJuG7jOB1QAbQb5dveAaOKb86uTHYSJIKuXDF5EALnSCeLixGr7rL/wYFF8v/H5RitFQuoazOAR2E5NpzPauTlOqFrZo0bQJj6ngkwxT36fDEJV0KiJ9XU1TR8R66OWba5rHu3107WXHrJp29neCMFiLAjWf+sO6xm1iQ58xCXdkVGy9q8Ep051grg4ctCLXRsn/sKDxSKkGZ9vMbUIx3QNZtgI7EZ6AFuUmke7CdisRcycLX/vQ5yqv0eO+rZqOo0maNn3UEw7DL1ddg2jZAfTMihUE4SLzo4Ftdb6tcdhFWQWobGRFsk1pxPRySi1o6T3FqBUDYI4Dbln2wMvBqFn+lcoSTsNaSXbsHpHus+gFz8RBr3YI41jf3q0taytfPbP+GjnUTSXg2ky26CnXhc5KEcGq67R0HszrNG+6Q2tASlH4pfrmdsGnfvlYes/S9C5Uyaad9LbJ7dFfMWO957CP/FN9BPzyvesswaNNLVHhIvtloW1+X5/lvHZTHTzDNZp3VWu61fYs2ER3l5hjxhXa4uSklKkifSM/Y6kR4q3ttdLfp+c3qAUqz/8Gj0TrPN7RbnoJt5n5vZ2LVey9q9YGrhecnDShbhwiPz8TvxjYYJ9VAFJjZLeo0cpn9bMGlii/rKBr0UweJoenCHyUtygF196AEvCQS/H0KDcHoHt/JYatXxEbP2Jdjh+7pk4kVGKhh99KU7cYp1aifnqc+J75Vd8sdtYB/F9rcQ8ETTGvk8sE9O0iVj/Ymcwj/z8AfEt8jNywEpse0V6HRGhwmli/k7xef2doQNTQge9yO/To7v1nzXa+pgIbDeI9/4DgxJJ1Sjphh/oUcqn5aJcDxg5OrgL8FUJjp+WhlM/XScCJ59BL77CBr2Uo1FDewS281tfy31euglNFhrLFJ2wRhtnfInT1HfZg17S8HUfe1nrr+Fnm9DgdLH+xneWy8/IQSgvrEETPerbIoLiUvFdpx1C2t4m+FJOby62Ty7XJ9eqkRRp0fDf7+CU06zBK1/Zv5WXK367IxoVbUajggNo1Fev+461SI+liz2QqAhNZjuDZ4iITCkvGzYs8NQoyprEv23Vb6rbNrw92+53p8n1iaudfBfvynWO9W30Wc6+afiGWXF9CKv+3o1yfZza1dd8kjMnpxhbVc2LQQbOcluD1vmLBXhG92m0yf6MzywPrzG0731ZsnZZQN/TqiZr2dw1irKpucFu/SbV9m5Do7WeAMTvxt3e2kJB3b7Ge0PudWvRyNNUrT6nfsNqnnbVZqpaQHeNYkMRzPvWqNZbshbQXaMom5qbVFV/vHeWo8VSz9Bh3xt3F4n1EEdSRh98HVIbiX0fqr6F5l1AVX9G+zvlb8ZqOgtwil3DKKY3M49zsR5NjfeNZvzZPV8c2c5Nw0vQaIt1pDcxbufl9KcsiDVlExF5VcmTXuomZzRyrbt5t88oZ9nvcO2Lf8Dbfv3iqkHtetIL1QWpfdJLbeWMYq74zbv9RkILlXkai2zKtvs7GsEun/RCRFExYKztfG57U9PBYlVjwFg/nRwBY+XF3xpHqGxAFwsYa+9jComodmPASLUOA8b6iQEjEVHdlfI+jERERERUvzBgpFqIld71D/cpEVFdxoCRap+vg29dTHUQ9ykRUZ3GgJFqnQZHv9KvqL7gPiUiqtsYMFKt07D0KHCcTZj1htiXap8SEVGdxYCRap8TIsA4eFLdibpeU/tS7FMiIqq7GDBSrSSbMBvK51yzprHukjWLYh+yOZqIqO5jwEi1lgw0Gu05iAbyGcRfy2cdM3is/cQ+EvtK7jO17xgsEhHVC7xxNxEREREFYg0jEREREQViwEhEREREgRgwEhEREVEgBoxEREREFIgBIxEREREFYsBIRERERIGSuq1Ow4aNkJvbHi1btkaT9Az1noiIiIiq1vHjx/BlWSkOHPgCu3cXqffVKXLAKIPEjp264eCBYhTv+wxlRw7h2LHjei4RERERVZVGjRoivWlzZGedgRYts7Ft6yYVPFaXSAGjDBY7552NwsJ1OHSwWE8lIiIiourWvEU28vN74dMtH1Zb0Bjah1E2O8uaRQaLRERERDVPxmMyLpPxWXV1DwwNGGWfRdkMzWCRiIiIqHaQcZmMz2ScVh1CA0bZHC37LBIRERFR7SHjMxmnVYfQgFGOhpYDXIiIiIio9pDxmYzTqkOkPowcDU1ERERUu8j4rNb0YSQiIiKikxsDRiIiIiIKxICRiIiIiAIxYCQiIiKiQAwYiYiIiCgQA0YiIiIiCsSAkYiIiIgCMWAkIiIiokANOnbKO6Ff+zqv31C8v3qJfhdmIh5bdBny9bs4W17HsAlT9ZtEPN9R8gEeGP0zvKnfhs+vA8bPxuKRwMvDb8AMPamuuWTyQtyTszzC/kxApsGl+yq879Tv93fubl84/2JMmK7f1EHjHnsLV+XpN5GOk1rg0ocw9+5zENsLNbDernRDKd6fdjkmvaHfpkIl82lFqLzd/eO6V65VVD0oD+u8k+FYrseSi9MqLsU1jFMxYfjFGKb+Hsf7JWK3r3pcvxd/kTKg8R3zt+tpprD5tcVoTJnzFh4br99SBVnpOHfyaP3e8ubky3W+svJZEHkCXjznIVyi35vUvMcm6nc1Q67DVTniwsfO13UhWJTe+BlG6XV+YFWpnli9ZkzQaTb8dRTqaTXDP5+mlAysFs3GOP229glKg3pQHsr0T1CORCcrPGphOvBYpgjYJE213BxMGn0xRk2eo98nTwWXtbi2Ji8nA6UbV50ctUn1VuXzaajpN4iTaW2uhauGNKjzrAqPutwaQievFDdJm+QV5W3ovvFxnwLEmndepn6bqPo7rDmoQs1F8gpvIHJLMpAhfr901evY2P0ytS6uZk3VTNJBv0mmejxxs7ysbVVpob4beH9VFs6zm1Xj0iBiGvmylm218QPk9rebGbY7TT6u5gcxfdo+DLffx37H8/uepn/VbJbzMd7POSf2GW+zcGATg9537+8Vy+vPxNJHUN8fqclZb+sbnvkhTSzudTPo7YT6/X2eZjLrt/zztJ+gNPTMMyWxr6Onk5feFrFfMjLF8uI3X8ZlKk3M/RCXnxOsm5Uf/LsouNLapwtJ4m3wSe+Ex7x1XO/3O04rfCwLlc6nVvphVYJjUfIcj6pciDVJe9I/Lv3sNPoAu8X3W5/zbKPnWCjcsh35YluiNAGr7bPXRX1PFhap5Zz0XnZRUBp41t+QXHkYRK/Lqn1ieb2fzXSqZHnn3ccOz34MyGehza2VSgMeyye7OtokHYU+MPeKzKqrwGXmrt5mwQzsFgGGbNLO6D9QXLlb1fD5vfQ6qEyZJTKjriKf9jG6370QUy61Zgezm8ytplJ5wNjb6Ry4UgdxgD+rv/8DlOZdZjRTpCaN8rsDj+nlHxAF0VV2c4rd/CB/V6zHVeJ37c/ZhcS4xzy/L06Y93ibY/LOUmmnPiO+K3ekk0aqYDGaWV/ekoHzxnuWzzwHrdbp5Ye/Lk54t8XSIJkmZ18hTSx284eaJwtO/Vm7JvLNyc+K3+2A4Wbz2vjv4jx8gMdc+zGx4DS0amPU9C1WwR5bh0gnCbtwlkGttZzKwyOTbLLcKPKgzn995L6Qx0T3/nodZT68DLmxdRP7Iie5fOjNBw9sPMuVj2IBiZ4v8wFGprDJrlLHspaCfOoci/Jz4piLpaE4OYrgBbE03oBWruAkWhecjP5ZKNCfcx9r3u9/HPtz7BNuuDff+RilmVmQMcIlF50lSs4stJdpd2muuOj+GMvEyTo4DVJRHkYhtjlnQ+y71bFmp3Ely7vY9sn0l0GSvWxcsJg4n0Vrbq1kGvBYpipW/QHjpf3RPVNcmRknxRnzZCbvUY19c0qxXx61hfvEq30okoXe5/uAnFyV+cf16iBO4M86Vy6iwFkkCuHuF6Wyf9J2LLILzDdWYaMoTHNP19+fojQqFOttX7m9OXk5CsWJb1TcwSuu0qZ7rvDEFfnwPDF9nvH7E0RB511+y/K4NDrvSqsAUgWkceU4Y53PyU4UvnNjNRFTMVcGPOK37QKoZomA7g15QfFdneaiwL1U5IuoTcdR07ASrBOZc9JSJ3f9Oqrdn4s8+MZu7DaPCR0gqABZ5MNYPpVpMl3mw4ERC+mJ6CPTwMhfVj48C4PV8hMxqj88+S+1TXYpOZZTkE+dY3EOlm0Ue0mXNRjfA/ni+52LEOv7k1W66rVYPlDHWmwfiu83yxqdryNTecMKEvNyZA3YPpV2KnjcuzvasRBJQHkYiedYU+WlXz6tRHkXIDXnjMqlAY9lqmrVHzDmZ4lrQXGVt+gtLLb/VPOAvnKtcaPRXhSMGf1vc9ZP/Mlq+IycjvozVaxK0mgb9sdd/UtWwOyift87PdHyji17vSc62bSg1z/WjJCYCtprk+mvqdqgPvKkEVfghqhgGiZP1hyYeSR1Ljk9SwRL+7BFv1fUCSkiWQsl1ui8u/X6qT/ZJJaBVrJdTM33yX8pUzXHcirzqUpjj9p1HExFgTopT0R7fIxl78gL645Wv9u92/RnaqGE+TR15Z2jFpwzQvBYplSo/oBRXvW4qvXtv9rSF2EOivaK1TSaTmJ/EZsKK61K0qgjWvn1l/Ojal69wWn48vIkYpPNF4sX9Yg1kwU1p9n8Tp41y6qNkbVJU9TVrVOLE6qCaZgM2QS0eNH1rm4ByddNJaYCF7uGwqZODBGpE5Ls56XXz/hTtQ5qvjeNrAA4Nc1YVXMspzKf+gWHKT0Opm9Aobj4dLpWWDXlyZAXghndB6K72Ftvyn2W0wN9ckqx8Z2IF081IZl8WuljtRacM0LwWKZUqP6AUVa14xxMMPqGWSe+2nO7CNmk4+4LZtWUVeSWGck1q2gpSiNzGy6ZPFA1fTlNawE8zcvSuMfE1aR3ebOPjatZRzZfyIPbaS6VzQlxMs1tlE0aGa5m9GpjNw/6kSdcsZ7niW1L6gQZNQ0rbDQGd89wNdFYfcxSSNewuoKN8ecgw+yKEEjWTpn99QTZD2mR3e9INr/C3bdV1+QWqDSyThJODULywU5KjuWqzKc6f3m/P3WmYoK4kECsZuY2tNqbRJO0YAUbYp1UjaLYp3s7ID+zYrVJFSoPIxHHmpGPxl2ZRD5N5lj1Bl1aKs8ZVYLHMqVA7RglLWvTYv3dZCaQVd3xrBFfHUPmh53U5ffrEVgwRv3JzG+O2FIdbJ0MLa9sku+L4dkWe1Sa+m5zlKJfWgWlURhr2WijpA2uUXPBv686OAeNko5LP9kB2iqE1ffo9I46+tRhbceWkPkzEm2j4N2XrpF/Zjppaj7MtIkqKA0982JE0B115J9nG50R//HbEE/nETW6PMExoT6XIA9LEdM4LH3d+9o73/x9kTZyJGx35zh1f7fBTOvKHMuVzKfWaOLLAOM31TLmjbld6RgyStpgrQfUfowbfWqXL3r9nXwnmPP1pGBG/hD50rv+4WlgS5CX4tbHypv+5w4/ev0ijZI2JFHe2dzb6jlW1Xb457PQfFqpNOCxfLKrrlHSVRgwUs0xCxA9iSpGFaRnYWPUII6oVrFO0nJ0rBV46MBIjghO+gKotjKCJB6jdBKqx7fVIaob5BWvHEgCc2QeUZ0S3yRdv4JFIqourGEkIiIiqqNYw0hEREREtQIDRiIiIiIKxICRiIiIiAIxYCQiIiKiQAwYiYiIiCgQA0YiIiIiCsSAkYiIiIgCMWAkIiIiokBVduPusGdOuh+5Fv9op8Bndgph812/n+C5oFHI7+mzriYfsaefv+l67qklYRrr54LC9Wxt63vMZ9oGi/Zs1ZTQzweNf2apO9+ofW4+g9f1bFIhmTRSPNsY+mzU5PNh4vn6t+FOV7W+5nOrPc9Ojfa8dIP3GbE+aVTbufdhojRG3PSUS1U+9clnwfm0EvwebRk3zXscJH5Gb+K0DjsWw49VV7rJtPY8Azs4jfT3B+TvxMeiJWy+xf+4jcR1LPt8v0/+skXKZ56yIvhZ0Ym2L0Dcd3j3QSXSRou2j6r+WJe/MwHPJlfW1qA6feNulblzRKYZfjGGib8HVmXhqkWzMU7PV/KzkLFlubXTx/dAfsnHWKYzgJUp9onMaC0/bP4+nHf3Qky5NNp87++/vPcc3PPYRGtmUiaiT6yAqhnjHvMvBKOkcUb/77rTPDJ94MtHiJlpOOchXKI/kTqioE9QSAIdMHzyaP3ayzpByGfkWuv4ON7PuQyLjf0cnEbx26jmG9tY2XwYNl/JPAejxuvXXuoEkCUKR7388Nexu/9teCzR5710Ab9bpK21vJVGcxOmae3j3YdWGrrz+ZuTL/ednloVzacOuay1H3yCxZBjWeYl69F+8s+Th4Sw+cHmYNJoe91eR6GeGkfkpwkBwWLiYzH8WJXycjJQ+IYVaIzr1QGlG1e5g8XANJqKCQH5OyXHqnDJ5OsrESwax7Jffp1+A4ZN+wC5IxPtvyj5TAZx+jfiAmdjnvr9t6KXJZLYN6Niy2/XE01WPqro+TbKPqieY300Bnd3wmJypD5gFIXK8DxxZTDdOaDenPws3i/pgKvMk7ksEPZuU68vOT0L2Ltbf34iRokrjML5RqEqDqSXt2TgvPHyZB4y3+f3Z0wQhWDewOiFqDy4VcFr1grUAHtb5nkO/EhpXIpS8T7KiSzOpf3RPVMULkaBM2PeByjNPAuDo6ZhRJdMHiguFj7AXJ/aDJSUAgmCXnu5x2JXgKKwmi7WMe8yqxAMS6Px38V5nm18852PjW2sZD4MnW8pFduYL9Y1PhAXAe2l4hhxPcd6Kgq2iGutXtEK43FXniMuyl43Apw5WLaxFBnd+/v8Xi3ksw8xfYMIaDqgj/dEN/01tW8rlN8jqGg+DRXhWFYnUlmTZJ9Ip32M7t5gJ2B+qlj5SV/kG8KOxdBjVZEX56XYr6LV0WifA+z+XH8+Unknie99Y7vPhXJqjtXY9+igNjqfY1l9v09+Fd+9SP7ulT7HeGXymZf4fRn05Y9MfeClzhXJnG8VK0hz7wN5TGeg+0WeNKqqY13ks7nqvO+ubSdHygPGSy46y6dQsa481BWPDsZk00KGfiC+qoIWhYe64lS1jfEF84wJYnl5VRc2X9ZcGrWVlm3Y7814scyh/8yCRx5MqvAVV6wlelocedVsLB9X+1bZ+bqAjtuWCGmsbXzjg8ACRp5oYr8v/txXm1loH3fAZ6CVjqDVsmKdp4grf3v5uCv7oDRWrALYrElw2btcFJ5+BYMuXLwFt74ClgFSaBqpfWwUToJaxk7vyubDsPn6PTYux/vwq2W01tXdJGLVeBeuc/ZxUD5Sv2XkBzvd3OkdIR8a+9iv9irxfFmLK/PFQ8ZvJDFf7U9vs51IV2xHgSddZXr5BcOR8mloGlQ0n4YLzafiGJoga13MPCPS5bFVsIKKsPmpIn5neFzek8KOxfBj1co/8uJcBEp3y9fWCTt/pFUmRS3vFL8LihQdqyrw9c17nvxj/qkyryNaZZZi4zvmsQxs2et/8TZj3XZxPuwRX25XIp/5MtJK7QOffC+3y31eiOCNVdgYF+iFlQWW3NPjty0jp6N+ZQu68A0/lhPO13lSnvtfFhfmFC/lAaNsVggkT9TTxBVIrHpcNoGIq0dZVS8OflXbGKBi8+egaK+R8WQgo/rwWJlDZRDEN5EkJjOd1R/QXv6BjWcZTbaVnS9ZV9lOzasjNI1thfJq1b+AiauVEPsBuoC2DhxP3xFZaHsLy8xz0GqdXl5crWb0v94pAKKk8aW5yBX/xWoSfMir1figVxbA+mUCkdNIrqcuPGSfFfsEUTX50M82kc7iSl+sh7tgczgBWQ8UiHR0agyj5CNrX1vLXy+OPzMIDV9e/rbqU6nne2uvwuZLGf2z1HrL+fG1NuHzrfXUadBrg/icO9C3vfn5PpEnsyDiGregfBolDSucT8OF5VN53GHVa5gRy6cLMXfOQgz+/GOU5uTixyHz3elYCfJCXJTTVg2gKexYDD9WZWD2wKpSq8+d3keqz7R4LfN65GNZkZUD7sAjVceqWo+SfYiPJWRzuJN/XH8q6Lfyj1fC/Fq4T6S03wV7xfOZPyetVCucp3uMCpBdLRRRec63hsTHus8Fsmrp8rtISZR2YcdytPKSEquZUdKqFlAfePJg8qlFq0qy5g6upj6r0Iq7Wk3A70BSfSvsYKOS8012s31F+RcwssYE7qY+Xej5Fg7jZ6taYFdzgWRelaurVacGMnoa+52EDCJ4TelVtZdxVfkYrhcn3KrsG5OAbGLxrWW0qHRT67gBfURQYNeQRc1Happa/lmxL0VQoYP20OVFEDJcdrQ395l5MRE2XyuVAY1+rWpPPAV92HzXCXldDxUUeWsmHD4n2oB8Gv1YrJl8KoMUGajK40n1RZ2/T6y9KC/1urQJmW+xa+70n2vgQjL2oaiKymm5nWYXpYS1uRH5BSsp4XMBXzWcPOpSZeXhVMwVQbtz4aqb332Ctch8LljCj3WbCO5kPvUcm27uYz2V513yl/KAUVazJ2ZVS6uRXOJq5h678FKvrZOAunIIULH5Vm2dVSB5+sdUgFm4+ansfJNfwRecxh6xAsa4xlVXvBELf9VZW/a/eTzgwPVKJo0TFIwGO+gdrN/bV8ZBkkoj7c3Jy2NNNFWTDxMRV9e6lrG9nuLPKtTtpphk8pHF+h27uSt0efPCzk/Y/KqQqF9TTHJBTfQ0rEg+DRdWXqpWBnHy7CMC81jtfixoaY2swPk23YJjB92qhaci/Gq9wo7FkPm6ZtTbRUm91jU/FTmWzX2a0mPVt9bWqAH3/smLszd2Y7f+pEnVbCY8fhJfoFQkn/mzan/tclqVf7oPtwqufJrpk1Lh4NqqCZS//8CEoIDVfayn8rxL/lIeMKqBA3EdXnWg+FhHTBpt9Qu0RwzKvgIyGBlm10rIGgBP1bgU62MRNl9W58cNzjD7kFjV5d6+EqrZLmKTtCzA4gI5GVgZBVxl5lus9fQroILTOH4brALmHGcAjyrAvIW/tbzZX0WliR4ZmtztBSKmsS5I/fqtuOig9zxxIrFYfVjimnH1yUduQ1gaxfKLnhOnsvkwbL5+H6NrGc+zL7eNbUkkOB9ZJ7GgEdGh+VAdS37NPrqGL2x+JVlN6dFrfINPwP4iHYsVzqfhwspLVQaooMs6Xu3mU9VUvfEV/CtwfuVq6VxUM6lf0Bx2LIbMz/8ZRiXqoqRrfpIr79xBkJKiY1XmFf8asZAmabV/4i9yVADjt49U83/AhU8F8pmvuP7A8oJU9n19yL/faWRmBU2SVL7QdwYJqPnzO9bDjuVIxzoFSn2TtMrM7n5I6lYEsRGp8oC2M6k1Ms7dGVhXjZujt8ROvSo2Si5kvs/vW7emcTpNWwGUux9TMtXv6krMNcJPFF5yFJw++Cs73ybX03dkcmgae6jP69eKLhjMvmJ61LBdeMjC0rrfVYJm6hDR0thdYxZEpYV+LVlXw+dgQiwgEmk43mjCCEkjK23N5eV8cVUdK0ArmQ9D53vp2j+b3meu5XUaRstHOm1d+8Cajy0bVLNQaD5U6+AeiWrVPOguJGHzK0mtHzwjYVU+jR9AINc9fkBPuGjHYsXzaaiQfCrlng4RdInj9W5xTObsU+srbz+ySF/Ehc1PCTs/+ozQDzsWw+arAEnnSWuAiif/REijGN9BUak5Vu38GDdCP5R1bLuORfX92333kbyDiH2MJpJ0PvMSv29VBri7GVnBubhwNc4FSVN9D/2O0RByne627h8c3D3M/1gPO5ajHesUpPpv3C0zhX1DVpVp4cwzyNqF8Bt4Jp7v+n15teLNgPJKxujLY95fzf3dBtf36Gpz/S7+hsqVnW9R22HeyNmQMI3VtvndrNfq5+S/nZ59JLsN+LDXUy1r3jRWb4/sUGx/f1AaO3yWE/y2W02T92Lz/Gas0sNnPydMI8WzfNz8yufDxPNFYTXnNnTfaO53a5q6N6TeDvfyfvkkJB9592VcGoUsL7jSUDYTea78E8/32UbXMR82X9JpEhs4EZ/GSoKyJFI+jZAG/ssll0+9y5oS5lO5XZ4bWLuEzU9YFnimxQSsa4TlEh+LiefLbR++10pzv/S0JUyjGL9jylHZY1mKz09JUHnUPhb91l9IkMZ+6aKmmfkswTGgeMrihMdRSBrGBPyW/z4MO9Y9+cPkLXOCttPzPUmVl679Y/Ap82qb6rpxd5UFjJQqOoP7BEP1hj5Q/QNKomDWib7qn/5Q8XzqPRkmCBZ86YDZuIhQJ//xwGPqJBY2Pwr9HcZo5kTbWG1pnbTqKid1WlXiaSYJVbYc9AY8FUkL9R1Rg05vPq7CtNFqb/6rWQwYiYgq4aIvy/BOk3T9znJdySGUN2iIOc2a6Sn+06QeX5Vjw2lp+l3NCqtdC699IwriXDTwwr3uYcBIRFQJvy3ei12nnILHW7RU73988AC+WX4Ubf/9bww7s13ctL82zXB99mDDRvhzplHtRkRUC1VXnFYz92EkIqpiv8zOwW2HDqrXsrbwvKNH8VDLVrFg0TvN+1kGi0REDgaMRFRvPd68BRbv2oGfHdiP9xs3jjUx+03zfpaIiByNWrRsNVm/9nVm2zzs2pXMnc2IiGqHNY2b4FCjRvj01NMwO7O5ngrfaYk+S0RUm1VXnMYaRiKq115tmoG5Ge4BLX7TpETTiYhOdgwYiYiIiCgQA0YiIiIiCsSAkYiIiIgCMWAkIiIiokAMGImIiIgoEJ/0UgXcD7HXjAeYux/jpZkPOI/8oHjJfk4tHwdGRER0suGTXsLIh6TPeQiX6LcVI4Ott/DYeP02leSD34dfrP8ex/s4B/c8NlHPFFzzL8bLe8V81/bIAFDPn78P593tv57jHpPBIhEREVHVOcmbpKdiggjIqv5B63OwbGMpkJObMMCdMe8DlGaehcGX6gmm6TeIoHE78kfOxjg9SZI1mVflicBSzCMiIiKqKlUQMMpau4WYMnk2Fi96y/oza85kzaA53Xg/d/Jo/aHRmDJHf8b+nJ4jgyQ1bWQHIPMc3GN/ZpE7mJLNvn7LS655cl09QZr6DbHMFONzzrpVxGgM7p6B0o2rrCbnipi+AYXogD52LeOlD2FC/wwUzmczNBEREVWtKqphzMB5ORvcza12c6ysLVPNrNutgK+X87lRk+eoj4x77Dact9dpsjWba9+cfLmzvOz3pz8zzOi/p/oI5jjzHth4lqu5d8YEe5nXRRCWgFi3Vuv058RvZfS/Pi6wDJR3mRGU3obuGx+PbZ+fcVeeg4ySj7HMt5+itA37S4Dc02XgKgLq8ecAqx6vhtpRIiIiOtlVUcBYivfnTdWvdXNr3kCfgGs7Xp7gfE659CEMz/MsP0EEdiKAGxWpr+FE9JHLT9cDSIQ3Jy8Xyydo7k1EBKNz7WBM1e5loFUynQU9fRQX5dyGxWYfRldAqQNce9BLiEsmX4/z8AEeCwhAiYiIiFKlevowvrEbu/VLl5J9iHtcdn6WCM32ochV02bVrkVyaS5yZQ3n3U4wtliNIk4y4EsxK2ju4TSb2wGl6n/oDnD9dUSrTGD351DN267meNk8jw64Sr42g1IiIiKiFKiegFEFcREV7hPhUxbau2oDrWApEhWcGiOMjb+ab771bpcw/Qa8vEUEuOPd/SzjjO+hbp1TMH0OJo32bJsKOvU2e2tsiYiIiCqp6vowGgGQ6p+3ZXmC+wh6vPEzLJIB1JVOTZm6dYzZRGzLzIL3doZy5HPBlg64yqxpUwNr4ge3VKegPop2k/uERANr5PqP7MABLkRERFQjqq4P48asWJOp6p9n13zZo6I9o5zNUcgzJjyO93OcPn6+/fum34AHVmVZzbDqzwkI5aCWl2H0ERwJvDzcufG1M0raaqqONV97RlNXirePorz9TcI+ilMxQQ2suc1IB93ELP9GZuH9abWhhpSIiIhORlXwpBd5W52B2J/wySRERERElAp80gsRERER1QpVEDDKp6ewdpGIiIiovmANIxEREREFYsBIRERERIEYMBIRERFRIAaMRERERBSIASMRERERBWLASERERESBGDASERERUSAGjEREREQUiAEjEREREQViwEhEREREgRgwEhEREVEgBoxEREREFIgBIxEREREFYsBIRERERIEYMBIRERFRIAaMRERERBSIASMRERERBWLASERERESBGDASERERUSAGjEREREQUiAEjEREREQViwEhEREREgRgwEhEREVEgBoxEREREFIgBIxEREREFYsBIRERERIEYMBIRERFRIAaMRERERBSIASMRERERBWLASERERESBGDASERERUSAGjEREREQUiAEjEREREQViwEhEREREgRgwEhEREVEgBoxEREREFIgBIxEREREFYsBIRERERIEYMBIRERFRIAaMRERERBSIASMRERERBWLASERERESBGDASERERUSAGjEREREQUiAEjEREREQViwEhEREREgRgwEhEREVEgBoxEREREFIgBIxEREREFYsBIRERERIEYMBIRERFRIAaMRERERBSIASMRERERBWLASERERESBGDASERERUSAGjEREREQUiAEjEREREQViwEhEREREgRgwEhEREVEgBoxEREREFIgBIxEREREFYsBIRERERIEYMBIRERFRIAaMRERERBSIASMRERERBWLASERERESBGDASERERUSAGjEREREQUiAEjEREREQViwEhEREREgRgwEhEREVEgBoxEREREFIgBIxEREREFYsBIRERERIEYMBIRERFRIAaMRERERBSIASMRERERBWLASERERESBGDASERERUSAGjEREREQUiAEjEREREQViwEhEREREgRgwEhEREVEgBoxEREREFIgBIxEREREFYsBIRERERIEYMBIRERFRIAaMRERERBSIASMRERERBWLASERERESBGDASERERUSAGjEREREQUiAEjEREREQViwEhEREREgRgwEhEREVEgBoxEREREFIgBIxEREREFYsBIRERERIEYMBIRERHVMfuK9+pX1YMBIxEREVEdIoPF6dOn63fVgwEjERERUR1hB4u/+OV9ekr1CA0Yjx8/hkaNGFcSERER1SRvsCjjMxmnVYfQSPDLslKkN22u3xERERFRdfMGi/K9jM9knFYdQgPGAwe+QHbWGfodEREREVUnv2BRvpfxmYzTqkNowLh7dxFatMxG8xbZegoRERERVYdEweID0/5XxWcyTqsOkfowbtu6Cfn5vRg0EhEREVWToGBRxmUyPquuPowNOnbKO6FfB2rZsjU6duqGgweKUbzvM5QdOYRjx47ruURERERUVeQAF9lnUTZDy5pFGSxWV3O0FDlglBo2bITc3PYqeGySnqHeExEREVHVkjWJcoCLDBJlM3R11SzakgoYiYiIiOjkwxssEhEREVEgBoxEREREFIgBIxEREREFYsBIRERERIEYMBIRERFRIAaMRERERBSIASMRERERBWLASERERESBkrtxd4MGSG/SDGlpjdHolNPE2wZ6Ru1x4sQJHPv3VygvP4qyLw/LCXpOkurAttYnKdtvRERElHKRA8a0tCbIaNayTj0OUD42p/TwARGEfKmnRFMXt7U+qeh+IyIioqoRqUlaBlCZzbPrXAAl11eut1z/qOrqttYnFdlvREREVHXCA8YGDVRtW12m1j9Kk3I92Nb6JPJ+IyIioioVGjDKfnx1vbZNrr/cjjD1YVvrk6j7jYiIiKpWaMAoB33UB1G2o75sa33CfUJERFTzQgNGOUK4PoiyHfVlW+sT7hMiIqKaFxow1pfbyUTZDt46p/bhPiEiIqp54YNeiIiIiOikFnofxpzW7fSr6AbcOR23fTNdvwOO/Ot5jP/D34AL/h+mj++OvYuuw33P65nVaO8XO/Qrf8lu67VTnsNlHfQbYZu9Xdf+Hn8e3hIF08fjwfeseScTlS6tNuLxCf+NFXpaZYTtNyIiIqpaKa5h/A7ueuw5ESwewOvXX4cfyr9Fu9D0m9di+p3f0Z+pH2JBkd7Ox/9Vho7Dn6t320lERESU2hpGVbN2plPTplk1cWUoeHMbvnGJWcMoA8xr0ce+c8r2t/HDSTOt1/q7LGJZu7bOrr371wH0+eaZTu1lBKmrYRyL+58dhI7m+qptuQItCtfg9T35uE2s47btQMcOuqbV/KyuaW1qvdPbcKb1nYd1zZz+DOztC0xb/UYtW4ABOk3tz9qfsX4H/mlu1/5u3yXWWae7mPf4/r5ObXHQZ7FLXCTcC1XB6qlhjF/H5GoeWcNIRERUs1Jaw3htNxk87MJGI6CRnl/0PB6/fkFckHDtFBG4wK6lexvbOgyyauiM4MiqvQP6XPv/MEAvB6SjT6tCNS9qsJhau3DwsPhPrO+fn52Ouy6Q0/6GByeMx31/mKm3Mx05+xfEalnlZ++/Vkw2AkE1b/pGQNXAioDrX2VAs+boKBfv0FwFlE1bWQGZSlsRbL1upK1s+r+sgwzUZDo9jwJ0x21TzhTrIV6L9es4/Pe4VqSlDNZkWsaCRU+aq/XSOsJKV3udb8vfZn3W3AatY6tD+nvk752Jyx4z95HFfx3H6rlERERUF6QwYPwOzmgl/jt8CNusCY73/iaCKPH3iX4vicBpkAxk3rNrm2aqgKnpNwfhblmTJQKMjd2eEwGZbOJOdwIppQwFi+yavZogg0MRbKnXIngdb62nEzxKZfjkfR3Mbj+EI9YrDDivowgEd+FtO9AV2//2dhEY5vcB9hwQE85EdxGUWcG30CEf12IsussawsICI+gei8tEuhz519uqVk+t03syqOsr1kG8fn6j+E0RxMlaWpGedq3kiudF4CZe36DWd5BK05w2TjP6tk06XfU6x37z+UK1veZnnfXRv92sIwbEtl8KWkc1gYiIiOqAFAaMf8Nn+8V/rsBOu+A7cTVPdg2a7PdnBVs6MBR2qZo73awpAkfZP7D2mYn7VK2Z9fe6CPpU8OiqCY3XsZUzGMhFppsOyjp2+38q+N62SAalIoC8Mwc5YvrePUZt6gXWNNk/1E4/pwlf0IGoFAsChQHXis/J5mRVe2sHvRXjWh8lHS3spmcpbB2JiIioTkhpk/Tzm3aJf60aMtO1w6/FbSJYuP98PUHSNVh2s7P8e3y6bKa9F9DNr6kaZZt6sg+jWZsotn2S1QwcZtv+BMGvqpmdiY0yyOvQHX2aleHgdqvpu+M3ZX9HT1P/e3uxV/wn+yXa6fdDkX6PX+/09bT7Daqmafnigj74htG3sbLM2kaLXGf9UgpbRyIiIqoTUjtK+vm3dd85I5jSgYsMGu5bqadJ7xXgE/nZC+waubG4bLysifo9usq3sZpKq1mzNhlwZ1+xbrIp2thOHYy5m43jrXh/m2oqHmSPptZN8/ZyVtAtHN6GFbIpv1AHmNsLdbOuzQouZRO+FZ9/B3ddKwNzuU4ioNVN0VYt4pm4zOg3aAd61nZUnGxGt/ad+O0LZJAv11lN0ILWUU0gIiKiOiC1AaPq26cHqdj9+kTgYo3O9TZfys/qQRCquVKPEL7+XvxK1daJIEdPx790f7xaMlhixR/Gi0BMrqPRf9Ec0Rzkvf/GeD3QxXc5T99BK8B0Nyvbnp8km8LtdJIjn+XgkjVoMV72TRSv1ahsq2+oGqAzfC/G69scyd+WA1oKVEB3Be76hvWdydi2v7ned/q3fWqE/deRNYxERER1SZXcuLu2SvWNu09a9m11UtS0HYa31SEiIqpZKa5hJCIiIqL6hjWMBtYw1k6sYSQiIqpZoTWMJ04ExpN1RpTtqC/bWp9wnxAREdW80IDx2L+/0q/qtijbUV+2tT7hPiEiIqp5oQFjeflR/apui7Id9WVb6xPuEyIiopoXGjCWfXkYx48f0+/qJrn+cjvC1IdtrU+i7jciIiKqWuGjpE+cQOlh+Yzjukutf5S+cPVgW+uTyPuNiIiIqlR4wCiUl3+JkkPFda72Ta6vXG+5/lHV1W2tTyqy34iIiKjqhN5Wx6VBA6Q3aYa0tMZodMpp4m0DPaP2kKNq5UAJ2fdNNWdWtIaqDmxrfZKy/UZEREQpl1zASEREREQnnUhN0kRERER08mLASERERESBGDASERERUSAGjEREREQUiAEjEREREQViwEhEREREgRgwEhEREVEgBoxEREREFIgBIxEREREFYsBIRERERIEYMBIRERFRIAaMRERERBSIASMRERERBWLASERERESBGDASERERUSAGjEREREQUiAEjEREREQViwEhEREREgRgwEhEREVGgBh075Z3Qr33ciFmr7kb/TP3WR8nqaeg35hn9Lt6UhRtwVWdgy/weuPyXeiIldv3TWH1vP5hJbqYd05OIiIiqG2sYa5PfvopNnmBRyhu5Aatn3ajf1T5jZq3Epo21ex2JiIio4kICxmcwpn8PdOtu/b38qTVV1m7Z04JqFykZU7BwZGf1Stba2uk7dXWJmpbZb5T4BBEREVH1S0kNo2wmlTVM9t/C3+oZPpzPrsSs673T3NNV86yctupVLFzlfMZVk2V/JvZnLF+HjJn1beTJF5/OcwXhs8ZMx6rV80TwWACY6dr7VWObX3UHk7Km0kyThcZce95CkaZqvk4vbzquehpjrCU0EdCa8/VvytrFif2sOtHMfnfHpkt2zaP95+QL2dVBTluJhQv1Z/Q6evOSa92JiIioRlQ6YLT71JlkE6pf0Bj7rAiKunU/H2Oe9Vs+E/3v9QR9mZ2RZ7TTZvYbr+eLICauCVcu7wmg6oDOOdZWlOzdov53PIMxYyaJ/ydhktFnMa+zmWidcZUdWMmAUNdUxnS+Mr65WCyvAlSpb3y/SZHImBgL1mSweKXzeUX8pggOh+l3XmYgaYvPF5liO5zPyGW8ecl33YmIiKhaVS5gvP5pDFUn+E/xsm5C7TbfarfOu9RdQyWDhViweLkMgASf5a0mWBH0jTZDPnv+NKxSLbSZyOki/rv+TOTItyWrMVUv//KnJVj1+xEivKrfYs3WOr2RfaZK7ykosKbrv1iTdo473HPS9HwsL9mFJ41lvN9p1n7an7HSeS4WLzs/9hvWOsm0n4JRKliUn3F/pzdfxLZD5Ak7aI51efj9apR4alyJiIio+lUuYOySY9VKfVrgBGi/LICqI8vMgbeySOn8baf20F5e1VZZTZDeWimlZK8Ib6RnsLNYvbA8exP6yaBC1obp5eNqqOqIT/cmCuxuxKxZ8fWlez/TQdTmvSIsc0z6pdgTRvOyb3pKxj6bJZaZpWoRdTOwp4YyFsitdcLwSZfLGuJnMOtZPcFkB/Iy8L/X/zstJdi4zAkGJ11u9ZOVFxdqGZ8BQERERFT9Khcw2sFK5z5OE/Bv+1i1UbEgzyJrkmK1h7fpWiZ7eaOGUNYiTpW1UnYtZIgpo/thb2wQzjwRrNbNJulZY/5uBdqeJtgxs8ajf78rVQAV1DfUpvoA3tsNGz01e0GsvoZXAmbNnp4n2cFsXm8nVcfMejVxX9Fnd2GvemHUPNv7tf9NIjhNQNY4Zzt5QeUXNkkTERHVuMoFjM/ehCUqHnFqCO2apC1vuAMDWSOmBnComLEfbpFBgL28UUO4aePdmChrpaIMdvjtq6pGMVYjZfez8wSrdcMkXK6DO2vwiLVNdg2hDLjD77t4I9pmy/99avbMml0PuwYxrmZP7JdRIkg1g1lnvTrH9TV1Br1Mwlx1cWDkC3u/xg2msd2IWbeJ3zXygr3tsdpUIiIiqhGVHvRiNyOaEt9U+hmMedyqvZLBhaw5SrR8lBrGMZsLdJ9G06d4OagWqzb75QhYtaQmqx9gtH58TvraSlav9nxfvEmXe37z09WedBXBbNx6ydpDa+BSLKA0zBrj9G20qf6KAftm+ab4MD9aoExERERVKeRJL0RERER0sqt0DSMRERER1W8MGImIiIgoEANGIiIiIgrEgJGIiIiIAjFgJCIiIqJADBiJiIiIKBADRiIiIiIKxICRiIiIiAIxYCQiIiKiQAwYiYiIiCgQA0YiIiIiCpT8s6Tbfxd33DUGV53XGdmZada0Y+Uo2b4acx+/H1Nf32VN8xLLTfzFLRjR50zPcgVY8n/TMOnPm6xpFDNm1kpM7JeJLfN74PJf6olS+wewdNHlaKvfJlSyGlP734RZ+q0p4XcTEREReSRVw9j2B/+LpX+dilu+3c0J+qRGacjsPBBjHnwVC387UE80DJ6ChWK5MQONIFNSy/XDVb/4i/9yJ7Ur0S8vU7/2uDgHCeZEFPDdRERERB7RA0YR9D15zxC0lfFeyadYOmMSxgzvgW7dr8Itf5iHgj3lYkYa8kY+gFnXqyUs7X+CF6ZdiTy5XPkurPqzvdxQEWDOw6Zi+SG5nPj+kfL1yexM9B/2XVw+7j48+de7MShbT/Y6Rf8vaxC7y7RM8OeqXYz43UREREQeEZuk+2HaoqdxeXvx8qAIUn4gApEia05M+xsx6//uRv8W4vWmFzBk1P3YKV7aTZ8o/xQv/2wEJi1Tn3bIgHLeePRJl/HPNPQb84yecZL57avYNLKzfuMW12xsf3bXUowZ8lOs0pMTSua7iYiIiDyi1TDeegeGyGARu7D0lz7BolT0DCa9shY7NyzFk3+eq4JFYDyG9rSaPotXz4oPFqWiR7DqE1k7CWTm5Kn/KVjbRrpZv/xweLBIREREVEmRAsZbLugKFaJsWo6pfkGftvP312LI1T/Fw/P1AJZzMnHoQAnKjxVjw+vzrGnk75cjPE3K87BFz/Ia0qaZ+r9kb6JPeCTx3UREREReEQLGa9Cvs1WjtfOTWdgpR0k/8jLeWbUBmzbqv3+txMIn77aarE0fTMMtQ85Hn56DcMsreppX+5+g/zes7y/ezvqy5KThP38fcV8QERERVVCEgLE7cmS/RJRgZ/G1eOHP9ihpNdOSlom8gTdi2pyXcd9gPS1UNwwaNwUvzL5R9V9EyVq8/MBr1iwK1DnHSvzMc3+C+76XYF/89VVMibwviIiIiBKLPkoaaeh+lQjuskVs98lCPDzhKqt58+pb8fArn6LkmPhIZjf852+fxpiEtVtTsNCuCdv4Mp6880r0aZOG8l2rMev/XYuH/fpGkkc/NNddGNHIuy8m4cnlu6B6hKZ1xlVyX6gPEhEREVVcUgFjZqYIUFZPw6j/uAdPLtP9FDcsx5P3jsCoP6xGiXzfoh+u/Uk/NSuqtJZ5+OZF3w2/ETUJO/H8g4/gL68sxduvePfFPDx8y1DcMf9TK2gU+2LEL85Us4iIiIgqKomAUShbi1ljntEjoN12Pj0JczdYo53b9r4G/dUrr0m4PDbwYijG3PkIXv6gGOXp2ejzg6l44ckb9ecosV1YtXg67r/3p7jlXv998fYv78dy/cCdbt+61npBREREVEERAsa9OFymX+7agif1y3i7MPVjHaU0y0Q361UAK/CZ9MNBuGOxtVz2wGsxbYB6SZWyGv/aqep7gZzOuNx6RURERFQhEQLGudipnsaSvFv+8DKWrvgAm5Y9ERi0vP3SRl1Tdiby+ITAAN3wn7/4X8x66VXMujdiU3N5OSq4+4iIiIiUCAHjLsz9UNccnpmHW6xXPs7ExLN0EFO8C0vFfwXIRNsWaUCb7rj8pH/sXyr0w7e/NwT9e3RG/75jAvp8DsQ3O1pDp8uLP+XNvYmIiKhSIvVhXPXIcmySo6DTe2PMrBt9A5W2N03BqB7W8N1NK55UNYarXvqXrjnMxqDxDyS4N+CZGDOun/7OXdiyXL0gX8/gtQJdX9jtSjxyl3/D/6Df3o2BbeSrcmxa/oiaRkRERFRR0Qa9FN2vbp0jh7Rk9rsbc//6AG4ZrIOVHgNxy+9fxdw7+0HWaZV/Og8P/07XSK64B9OX6QCn/eWYNudVTBs3UPdvPBP9h43HtL++bD1rWihfuxAPr1AvKYGXfzcLqw7KV2nodtNfsPTJn+CqflbNbtt+V+K+WUvw8MjO6sk85Z+8hoefULOIiIiIKqxBx055J/TrEGdizMznMXFAtn4fr3zPcjx8w62eZ02L5R6bhTsGn6mCmETKP1mI+26/Bwt5L0ZN3rPySsina2+Z3wOX/9Kaqgy+D/P++xp0M2/Y7VFetBTTbv4p/uKbngHfTUREROQRrYZR2YVZYwfhyt8txKY98vnQerJQfvBTrHrpflwz2BssSmK5CUNxzS+nY+mGYpRYd96xHCtHya61WPrERFz+HwwWI1t2P64cfROmvrIWOw8aCSrTc88mKz2HJwoWiYiIiJKTRA0jEREREZ2MkqhhJCIiIqKTEQNGIiIiIgrEgJGIiIiIAjFgJCIiIqJADBiJiIiIKBADRiIiIiIKxICRiIiIiAIxYCQiIiKiQAwYiYiIiCgQA0YiIiIiCsSAkYiIiIgCMWAkIiIiokAMGImIiIgoEANGIiIiIgrEgJGIiIiIAjFgJCIiIqJADBiJiIiIKBADRiIiIiIKxICRiIiIiAIxYCQiIiKiQAwYiYiIiCgQA0YiIiIiCsSAkYiIiIgCMWAkIiIiokAMGImIiIgoEANGIiIiIgrEgJGIiIiIAjXo2CnvhH5daa2bnKdf1Yy0S/fpV1Wjf/Eu/armHN9wmn5FNWVBr0v0q6qR9cFn+lXFVfWxUNfVhmO5ptWFsqSqj7W6IBXlQX2WirIurDyo7LESlo+PvbdAv6rdWMNIRERERIEYMBIRERFRoBQ2SU/E9EWXoaN+F2frGlz3s5f0m0SuxpT5fZ3vKCnEEzc8hRX6bdj8OtEkPewpjD0fWD/5ZqzWk5JRG5qR8u95AZdkr8BTdz+qpyTphsdw86ADePOm+1CoJyVD/f65TfU7oHjh9zBvtn5TDVLdTDZ23E9xZa5+s3sDrru18htT5U3SXe7CI0O6IV2/RfE7GPt/z+g31WP0D/6Eodn6DcqwfunteHizfhsi0rEsj9Xe+/HW1HsrlE8rIv+aubi43SfV8pu1o0n6dlz50hAgwTHMJulqaJK++GY8eUc+YiVqpHN1al3z0FRc1km/wVGsffhXePAt/TZE9LLuRvzqxxehvX5nllmx8qD373HdyG/gi/mjsHjtnbhi8oX4Urz+2/PWsdJ/2ivoFQtAdmDd1ROwSr+T3OemIyh69BosWu7kY1dZX7YD0/5nLpaJlydhk/RUTBo5USS2/FuItSUiudYs1O/FX6QM+JLzHa/u0dNMYfNri1EYNnERrhim31IFXYHhT7+CG+65Qr+3FD5wDZ66+nvi72kUHdYTE5AH8M1P3498/d6k5k27Xb+rGYO/fyuuzBQFx5T/xWXyb8ZSPaeW2/wgfvLHH2Gs+JuxtUxPrF5z/s/6/bF/fAdFelpNkYHe2Im/981nKSGD18lPoZ9+W/v4H6sWa96VN+i3ddIQPDrpVvxXT/22QuR3/BSPDtVva4u3nsIt+rz6xJqjemL1euFn+rw+cg226WmpZQWL2Vtf1GXGi1ifcRFm/uBGPV/LbYW03e+KYFG8HtYN2WWfYIt8LahgMWsd3lTnnu/hzX+0Qq+XHkN/a7YOFveLINKa/9TC/Wh/+wsYPtCar4JFo6yfV9IOd48TF0t1CJukqRZbgEU3fQ+zH6j41ZcKLitYk1kd8jLTULpzq7rKpLqr8IVRmFmVtYKLb8bMCrZKVI/KH6v131LcLgKF25fot1Rt+n33W2h/dBP+8pqd+Evw8DubUJZ9EX51oZ4k9OvUHuWHrMvP/FZZQMke65geeD+6dDyComecc0nhAy+i6HA79FKVDrej17lNUbzQqHGcPQHrtjVF+xvvR9eeozA0txxrllg1itLMGRuwJTe/khch1auKRkkPxF2zL0f+5oW45XfL9TSbNa93pn6bqPr7pp/juUGHPU3SBp/54VXT8irjW8g+mo70xkDZ1new5fSL0FO8Lir4EX7zrv7YhVMws88Z+o3T1BXejCWrsIch1kpmKN88A8+9MDfWJL1jcxbaddFV17sXY+aTf7BeK7KGchza2e19xvzwZiR5NX8T0jevQ7NzeyFNTTOqzkXGv+F2Y/qjB9DFfr9tqW5mtr6jfTM5UTgsrqqMoEtdSWVvQVFWr9hnvM3C7qp7p2pe0U3SRfvE8voz5f94OnaycVfrBzU562192zPftY1CbLss7nUz6O1E7ErRbG6wfqvN5qcx8m8lelqQc/BfPx+IvvY+NJof4uaZkmiSHvCL3+DWviLzattenYhJT1uvw46Fft99FONOF6vVWBwL+AxLCoChMs+LQnXGzAd1YJK4CcekvqvZP33nuZqNXd9tUct2chLCPA6tddzuWZ9v4VBc03Oi6UKFj2VBN0nvKOmDdroZKXYcS6r5qo+Tz+KOY6s8wOYCNOtif67I3R3F9R1FVrkQa5L2lCdlBZ6maqucaL2jAIfF91ufO4IdqjlNvRG8ZUkRinPFHl05HPMeCi5L1HHYZYt17KtjqiU2q2NCNiMPQJk4pgvPDzpWreZm3/IwdrzrJul/+JdX4U3SstYuH/s/LkXfs8QJXjKPNXGinnNFO2SoGfswb0EZhtrvxbFm1egHHKuu5d22rDaCv6HX4fV++vchAoMFT+DX6613rmZIzzxFLQus+ThDbIPOTbF1C2+SVuVAF7HnMxujKfbg9VeBy0a08XTZ8nTnSnDeVd+Vvd53nqvZOK67WHB5ZK3jTs/69MShuKbnRNMFec6X26U4zdbh5/2huGPs99H8I+Mc79H/W78W5+VYSecmjus3d14Y3A0rpJvVgrtm4fWeZcY5QLLyXbedyzHqJ7/S02q3aq5h1MHiPpFZdRX46+iL5x66Ws+vDukoFhlnbMFnSO/0LeAdq0mtfVtdNa1OMC3EiUU3dy3djrwhj+IOcUCG+wMWTB6OmZNnYEeZKDxFoTxTvR/unGSU9miN56158wtQnjvMaL7WBXyJOPnoZddjGMbecqeeH022WN/3zKpzu1l2+X2YLac/uk4UXeLqSGy2/Tn7YOg/TQSL+0SQpaevE4HdJd5m3Y55wDN6OfFdzS53qt69Vff2VZZr+Wa9kP6hXv7qpTh87k2xJqtkmpx92dso/t78xxE90bHqbmOeDCb1Z+2aSPvKsYvZvHbDELHX1uG9iDUoY8eJE1CJKPTN5oefj8JgNfcD/Pp/9PTdQOnHy2Ofi9okbRXOh/C60ZTUccTPcY2eH812/EU2zRw9A0PbbrGadht3QH+V12UhG6EJJ4AKFjNEkKiWF8fZ5x0wbuxdsWbVWECo58vfR58/ua74K6VSx7KW3gdNttrH8WIRmI1zjtW19+I5fYy+tTk+n9my24n4TH1Olgvt0TN2LIuAUASLEEGo9f2b0MS+iFTs8kT8rUzc6J7WpRU+159bv7sp2g1zmsb73SLKEohAU89/61CWbwDnp3DlFpQ3a6k+n39+ngjmWqGFPMYHtkGzw1tQKC4Ag4/VRzHPmCeDSftY89ZEOuWV/KxdaxNVGvpm7nYfa3ZT3/q5GC2nL9iBUmThyqHAE55jLfBYtZefsgEiNUSwp5cVf+5gMcOZt+ALdLvCab6eOcNeRn5HIlnoJi4jrOXFuub2SLLpeieeVV3B2uCys4tEmbAG2zLbYsDFcp487/ZFTqyLmPhcVnLnXRUsZokg0S5vNrfFrbNvxgA9PxYQ6vny9zFiKqbcpD9QWSpYbC6CRP39D+9E/h2/wV1q+8KcgeZOHOtP1uDLc7G6oJPHymIUq4sv8VpcBGZnm8dlvPzcVvqVv8Et/S45PhAXo0BGpn2hUftVb8B4cVfkZ4orIOPq5YVXCnGkU/skT3SVUYZDe8V/ew+JVwfx+WZg9aGDYq9lqxPZ6LZnoGzrq05NxeYH8W5xOvLyU9nxpAgf2wHk2jX4QgSXzVqNst737ovW6SLTGjUVq1fKoLJbUv2Xit82q85XoFgEaL3i+hC5q9gVu+r9VedKatXdS+OX37bCqTEUAdpmGRSOsAp5FZAZV1qrPtyhXxkOr8O6WE3Eo1gngrfsQf59DavfAix6ewfSzh2i+6dcgeGD2qF88z98rx7j2M0Pq5zgTzU/pLdTJ6xUWPG7X4mC83/wgv1+xU6xN5NUWixOUUvweak4Kg7LWozPcOhoOprniJcXypr3z/BuXBPOtyIGXDeia3YZ1r/j1Ciufu2fRkB6I4Z1EudjY764AsFvRGCXqBYgWSk5lssK8OFi/VoEcB+KwDC7d3J9FYtFYGnlm7nYskPspcw21vKqj1QBVsYuJq3vT1b55sVOGm8VgWV6KxF+SHfi9Fzz90VZ8MK74kQY0fI9OKyDxGwRNRb9Yz/anH+FFTzu0011KeKUVwtQKNMgS6dRJJ5jbZUMuPya+sTnjCZBJQXH6tgOWeKib7VTayiCzCW709Ct+zl6QhT7sOTFD6yX67dikzgntGmZxPL7DmAFlmPXPlGqF8v+/XtwqKQxmncWL2/qi97ivPt2rLVvOR6cJc+7PSMGXFeje6ejWDvLqVFc8bv1RkB6Nb7TV5zKjPn2eAO7hrGyrjm7DY6s+btT6/jWU3h7a2PkD9C1FKkg+y+W7Rd7QugtLoqM/otkqd6AsXMzNIW4Apo/Fc/Zf2p0VnOcGSnjVrWhOF1cCKR3+j5m/vhPsT/ZpJbezG7WqmIy06I9ek5ehLH2n2qyykKL3vozSdshAgL90mU/Dnp7DHRqKX7LOz3R8o7iYu+JTjY1vYKb5d/l7fS0xAp379evaonZS1VNxxkySJa1i812YHPU/lmnpyMDpdhhNjuJYmh/yseGyJoD8zhKnX7NWwBHD2G7fq9sLo4ebHTJRjbS0XOIcxzNVM3bOiBV860LtqpRNcdy4f6w5q/oVB8pj1R+f+U9is/EhWCb829HC2xB4coDqrpU1raUF/tcBNYW60tEuOTHe0wKlT5Wz0G7TCDjrIF4fdJPY3+yCbq21BwNyG0OlBx2H8tvHYCsN4nk4pbIQWP0vsM4b6vmbR2QqvmHsCviqObkDcSZIimb9r3c+H2rebxptt1EHUReCOuXvoaqQaqqSTq9Dy62z7nq9VwME+fd+PObW9j5a9kBcVUex8o7pSW16ZgPVr0B46eHcUT2fYhVW9t/0YfQVy2rtkX2o7KayIy/6rpliMh45bKvkm5Ccv7MfknJaidOkvplmK0HxHW4bnqKCV/erLKXTdI3v9QVn+nmp6cWhp9cwqr0q59VyyhrPYef3Q7l/1hq9GcM8XmZOAVloJ2rhiMLrfz6LFaQbAJ6bv63gVn6GHq4MPkaxgCq1r1xc3TQ7xUV5EWkgsvPsMR7HIk/VYOo5rfA6a7aStkMnqom6ao5lv2CvIryCw5T+f2yxvLz3eLYNGpE86+5MPo+FOSJMq3LAHGZvweFssYxqyvOyDqCPSsjXjzVhJ6ZYn0jqvSxajUryv6MdlN17K+W3PFgxe5DQGYz97GsgryIVHC5J9b9xfxTNYhqvrfSx7qYTU2TtFVzKvtEen8/2t1XlmCV2M/tuzrdYRR5azBxEfmrC5dg8VR3N7L14riR/ZXt867qntFxQKzblUX2axfnOtl9YvZHvq146lz49P3oKvNZemtcHJfPyrFpo65ZrgOqN2B86yMUiqLr+l84qW6d+JLte1V15uz8DO37TMFo/d7qUP8nPPLd5NsSY83MyZBN1OiD869xllW37EjylhrZl5vD/Qcg29UEHMDTvCz1nzYkfvmOQ5zbZLiasW/HGR3FgWeMFusvAq444uC6INZHUI8wM5rRq01Q05cuBNqLbUvqBKmbpPr2d26ZMHZcD+SV7cC8lIyQHIgBXRq7mmgGDGib0hpGvPuO6tt4YSzfi2Duom5IL/5n/MASX8/go+IzMNTs8yj7FP7Y7kP4DBZvFef2i4xCXDeDf6SbpL1BqxrpqF9HkZJjOd08Fu/E2V1EPjWaeCtl8SYU+3x/Kq1+UpwIRXmiak3E38XN90WvJRZUzUkzsU6qRvFRfLavHbKb+bRMRNAs1++WO6kgjrWhdv9gcaz1b4eM3YXugSWJJHWspqHV6fqlYeb2fcjrdx3G6vf27XPmfD+ZJukq9PQa1bdxUOy8K4K5MflounV9xIqal7BxaxtcZvZ5lH0K59t9CF/C39YAvcc4fRrtZvCNuknaG7QO+EXPxPds9vHCh3s8fbTl4JipeNKIJYJY3WG64T/jyrN3dBeY9miSXoTPVfcT2ZXjCL7YaIw7sM+LRl/8/Hu+r1qe1qm+/7pblXHelQNheumR1R/Z+czMpzKfRc2ntUTNj5IOGsllkPd0vOV3bQLn37F6vn6XiDGaEvLGw83x7h8nYY48kXU95IzGdI2stGopZKZK7sbdnhGO9gjKuBt32yMdZxgDYzwjG43RkakdJW1wjSS2vqPCo6TliDGjGbp4objSvtwKOtX3JDlK2mFtR3HI/FWJtlEIHs1tpJOm5sM9yjrazYQrMkpadqp/Ao/MjnCjXs/Ndo+sWYPCLlYh/frI/8G8KKOk9chmOTjlwsMv4ievwTOaUB4vCUZJe2/cbTBHOrtvri1rHMXxpt9J7lHS8fPN5cu2igCrU4fYaGj3dxvM0diVOZaTHSVtkDUVCxbrUdLqtTU97sbcyYySNljrIVbRW3a4yhe5vHXjYad1wlmnsFHSFmdEtOyz7Bo5LeaGHavOseQZMR0rb/QoaeO4NH/jwZSOkjYYo5CDj1WD57vkYLXRdr9D1yhp9whq9yhpg/07epT0vCnPYaaa4Yyeld8faZS0HtksB6cMKpbnSqjzbPO37X6EAaOkvTfuNpgjnd0317bKGbsPtWQNxLNHl8TPN5c/sqYQe/u2jY2Gdn+3wYwPXKOknXVLyY275Shp+yb9cedo57wbdr5wHw/O3UF8b9xt5MG6cuPuKgoYa0b0jFMxyQWMVSNywOi91QwlTwWeedhj3hJIqOqnT6TiyQ5VfSzUdbXhWK4O/W5ZhJ6ZzgWnCli77FMnw5W14kkvwSLfVsd7q5p6pMqf9FLHpaKsCysPKvtUpLB8fBI+6YWo/lB9T27vBfzjRVewSFSXxDVJ62DRrjkhIoqKNYxJqBs1jFTVWMNY950sNYxB6kJZUtXHWl3AGsZgrGGsPikNGImIiIio/mGTNBEREREFYsBIRERERIEYMBIRERFRIAaMRERERBSoWkdJh41mquqRi1U90kkKG9FW1WlQHdsYpLLbH0VVp1FYGlTHNoap7WkQprJplIqyoqqPldqeRpXNA1JVb2NVb0NtKK9qOh9Wdh+EibJ9UfJafcb7MBIRERFRvcCAkYiIiIgC1VyTtHwW7UXAX+xnvgqpaGYK4q0at577iNjzHmM8zyK2n3Msq82tZ0HuM577CQz+/q24u+0X6rmg6yJV/wc80zKl1f/6mdAwngWttw3Gs5vN57le/y/dNBD03FQpwfxY84fnuZ/Ws8CXG3kg4DnFSngaqceexZ7RWuQ8wUI9C7S9fp6vmqmf2fsNfDF/FP72vJVG7ueCxj/3MxF7G93PPz2Ktfq5qKloxgqTmnzieWa48WxUKw3kY9fkA/LN5+5aUt0UaT1TGlivnxMNDFXPte4J47nQgnp+NN7BzD/+Vr23HnXnPAXX9axnJcEz3YVKNwXeNcvzDGDBeC7wfJlGnuPA/ex8k37GvjhK7fl2Grmft11mpJHmea532Vb5XPAlrjyijhVY267SrPm7eOr2x/Rc/+c8x44D/Zxk8/nINisfBDynWEv0HGJ3PtDHfBLlob0PXcey8ex7extUGX0W1LPazUcIZn2QH5fuklpfrMHY155U7937wEljyTvP9SxzIdI2eJ6/731+f2wfuZ75b4lWXun8lWlNM/OhtQ/8jzcpNWWNQ553L8CLxvknfBvqOzZJh+iX3yFWwNUIEThdEBAsHhbB01NXy7+lOHzuTbjhniv0B6QsDP3+Ofp1sqxCMVsUOGP/+CPx9yLWZ1yEmT+4Uc9Pnfx7vu8OFg1p5w5Bf/06jg4G94gTxGVT5N8G7DlrIObY2xw2X50km4sAaqII0uTfGuztezmm3GTNDk+D8DSKPSN38nDMFH9vbc5Cz8lPQZyrY7JFkJivX3upE0yWSBu1j8Xfwv1oL06gCdPEQ51QskShq7ZP/L16CL3v+Dmu0fNrPx0s7hMnIJ0Gb/6jFXo9fb+RZktx+5TlWJPZw9m3VUEEPP/pChYNjbth2IX6dSJlTj7wCxabiSBSzps5eQZ2ZA7D2Fvu1PMleSJ+BTfbf9Nu19Md6jGRsc9EzyPK0/+jj4GJeGLNUT0x3oBffDsuaJGsYOQglqjjQPwVHETPIY/iji76AzpYLC7Q8//4Doo7fR+PfHeo/oA0Ci0yj2DHShkoj0Jeu6Yo3moFzXYg0kxcQFr54GkUZQ1xp8OS53DZgh1o0+9W/FdPPS3GChZzxAWhtZ0LsTarL5576Go9P/5YeWJNc1w2P/5YGf0Dd7AYlfdYXrevFy7x7MdlLz6By1aXou8V12GsnuaSmY/vxMqnBGQgqPeDHSzGyPXW85aUdsO4H0/BaD0rktkTjOPwiJ5oehTz9L5xn4ui0MHiPhHI633w+r583Dr7ZgzQnxA7GQ/P1OteBecixxXINy7wah15cfTzURis31aI/I5JCfJZHVfNAaO8ivkTZv74T+4rshrQf0QvpG1bEfecYGv6UsybrSfIA3XhDhFgfR//0VVPKisHzupRsQxxYR7ai4LnL7ECRxyoH4krwOy85AqYULej17nixPB2fLAoa9PKD7dDlwQFz9j+7ZCxe4NRmyACh9X7kHFWP3XCCJr/w96icBrUBkfW/F3VtllewsatQMezrZNIv+9+Kz4N3tmEsuyL8CsRHITNl7WFZ+WKE+Die2PbVvjC89hR1h49Y8GA2Eb0wdnD9FuTuCjo0vEIip4x0mb2RyhGO5xxg34f5OKbMajTUaydZZzcny7CNrRB97CTTm1xwxC0b7YD64zaisKVW1DeLA/5A/UE5QP8er3ctxXM7xGM/mY3pBf/Mz5YFMqOlqF917tcFwJR5V9zIbJFMLkyFkTOxeLFBSjPHYYrVL5watbtk/U6uIMlFYyI/G3Pf2oh0CvZoDHU1fhO38bY9rY7WJQXTsNEOVlUMAlz9BS8OwlLitPR8yIrTay0ewe/edeaDTyD3xR8hvROI5zyqndftE7fh4Nr5Zv2aJJ+BF/uVnPEReUAZB9eh/ditT0LsOiZdSjvOATXmvlg/Vws2Z2Gvv1FehkG/KInOpYU4tnf2QXpcjw4qxBHOvW1LhB9jpUVv/s71pa0wWVGUCkD3wuzy7D+X8kFi37H8qq7l6K44wAMd+VjYckGrCnzv9g/UnIUHQeZAVTFzfk/EXgVn4GhKQ+8xL55W56LAi72/VzcFfmZe/C6Uev7witiH2W2xYCL9QRtzr9kOfst54IkVWRFjLrgMls06il5gWW2OtQjp+j/UypRU5068c/UQcCFUzDTLtA8vM1MrqZFobLzrUJGTF/ortqXJ5AzZOHzqGe6vPoTAeRfe12CsReJ96KAXFLSQxU8M81m2hhPE423Gapxc3QQ/5nV/kALnC4O0qJiq1YEmwvQrEsf3SxuNLdq7uZYETzNH4XF6oRgUScC2cQYC3zd9ry9Dm0ulwXPAtUE6RiC3rnlWLPA3QSpDgK164bg0SsSz89aK4LfGzxRuEiP7iI/bHtVFlhD0f90cRL8yN3sgc0P4iexpsig+cAPh3wDabvfdW2vCgam6sBg2FPin334eO0+9JS1jEZgqSy/D7O9q3hDVye9elmTrGYsu2MCnCa5t57CLbFgWLupvdjfolB+Wry+1JrkbSqMa3YPm2830el3rqYu1ewO7NichXZ2XjeaW0Pn6zxtyj8/D2mHt6BQpo1OA2XJbmzp1wO9ZaWVHcPrWov8zYXY2zdf53XzWLcM+MVvcKsIhmzbXp2ISTKNbCpQEDm8IEGg8Pk/sf70i1Qt4+pYUBSFrklb69n34v1zOt/0n2bVrM020kEGG2e8JIONR7Go02NWzdVNRnkg0m3d2a9YF1vH9LRKUkGXnXdM+uJyhme7ZUBiBZAioJRB1lJP2omgcqxYpn/xKAybOA7tdAbrOVk2S2sj5+I/PngR5SJvxF1U6uPD20w4c/s+XNkvV104WCfDczCgi0+gaxwfA37RFk23rnflCRVU6jIiTR8rKvAV27rKe9Ggu5f4keX6vH0tnTwbswNlh5uizfliH/2tRE+TPsBbO/uhb9tOGCxeL9NTlc3rsbZLX1XLuMK7Hypgzs7PMLSPrAS4EedMvkjVcrtqv/XxKcv1lXpSJPLCVpTb6sI2lm+triP4eAfanGV3E3J3mwKa40wZHLr2Q2M07yz+2269Uzavw5aLuiEvXxzsm2MHu0V167HPSYJZnkhB840yV16EJR2Pylq7nmVYU9IOffV5z9VNSnebUMp2YNr6dNyt3zuf011s1FTB6GrjLuuzcPekn+Ju9dqdjlaXNP1G/s7/zNX5yPPdrnkWu+tawm2oA1Jew2j3/bCrvq97eCfy7/gN7vJcySSigr12n8SamGZOFpHe+Yt0jUDl5yudRCEjgqyyrfq9bWAbRL34mblqR4JaRitYhDgx2mnwxOa2TvW/LMz/aNQYCKPbniHOtdtdhWV2O2ClWv8ZnpozHSzK/kj2Ns7/BK3FCWBYb/0BITtbBAmHD6BYv4+z9T5s3uZTy9gzE0aPq3hh8w0yLzw3X/61x0aRDlagcAaaO/GDj7D54nBu7lwMBFq8WJw6EtQyKkZz5Nkf4Sndf0+K9UtVTe5Wszv6/RSPmi19al/rbTy7SOxrq1+WooLBDtiy1G4q/JGItYxm9bD5OlhErKnxR5jxeQeMG2vWtrVHazyv84BZc2YLmy/ErvxfUf2KnvLpviALzf1lQJuW8TUzTfs2U/tWNXNtbYzeY5xaGhUsdtnpNNuPXAOMmGp0TRBymouAuQyH9ur3cT5TNfDJ1zLKmjT90ted4uJwBzY/sCDW5HzD0y/g5mniF7c1Rbq4wOl/djsrmJL9y2Qaifk3vPQY8OEOpMkDNEU6ZIsMX3LYdd6W+jVvoV8l0CXb6XfoS15EDcf63VbfTpkP3tp8xDqRTx6Fv37UDunJ1PZ8XoZSEY60i0WdWWhu94lLQG1bqKE4XUY5pcWei2hh8c1W/vX5k5UA+bmt9AdNC3BwnwhGffbRsgOlQHq6c2KP2YMH396TslpG7D0kcrWsBHgGC1YWIa3LMCP/ikC+t+xj7a4EiEYGw0Cz3PjWoby2wBOqrFqualKvHKdrg2UAP9JzITdABPJimzfGBcdL8LlMombinGRSwaDsA+6k/3oY3TvC5qdCeju02u7uBhUrj1Wtnpi+Wux48bm7O+zWn/tfHZCdg//6eQ+0EQGaNd3qavO6TiPVZcFeXgZ7elmzplAFi5nOvGk7W+PuWPO17L6jl5HfkYi5DUarXV2R2oBRNT+4q779Mmtid+JscelhNjUCf8ACXThUfr5pPw66rkqTpJpo4ps3VG3B1jWuWpQVv/sVrvP0TbLJPkpDZS3BO+4aNadmZC627BCFfGYbq2+ZODDPyi3CevPKTtaaiBOAu8ZN2LfH5+TvWPXqOiDZ5o0kvPAzO1AoQncRVD35C28bUVUTJ8y1RQF9GWW/IN3U+GFXERS8oJuxhuBK2UF+iXmFaBUI7k7/L2GSHQx92F4Ejs6FkawxwdZXXc2ssmbIrkEMm6+a5V1NjcDq127HWFeH9CJ8bNdarF2DL0RQ16zVKOu9EjZfkFf+Og3ew/dFGiRubs3I1FfwhiNr1sSC5Bc+3CPyaTNVe241s4qfNZvtdXq5ahiVg/jcW7NkevcdcfKJ0JcxGb3FxaG8oJKtDar/29Pi9NkUxR/atYlXoEWWvKi8AsMHtULRo9/Dm2Id07Z95KmRFyfmST/F6/afXcuRrH0HfMuHypP9F8W1434rH8iLLaf/YkWkodXp+mWKlR2WgzOqgxn0Gp5eg7WipAjty5gseeEqLvrPukYfe8OGoV16ET6POydF5xcMbxHnJKu8kjWp5eJYzPTvi3fTz1Wt/7ZXjQtcr4xs1wVav/P7AJufd51jVj8pAkN9HgqbnxIikJsXK3+XYt7H5cjr6dffcB/meQbpYWgP9E3fhyWx2rwP8OslO1Camx8xYNMtb8Y5YdmLhdiS3hoXJxPwmdsgW26q8HiqCqkNGDs3Q1OfK+XIZCEudrbV18ZHZee7tEILb/yyfA/ExVtkdi2jWXkqr6iPFIsTZwT26LqiAp/O/omIK+q0sv1iKyPI0kFmIiJYsGoZjTrD9SXixBkgbL6vl/C3NUfRtEtXdMVnOJS4778QNl8UB4f8OoUnYNcydtfvE5m9FEV2M5aqRS3FDmM0ZSh5silpjPwBMlNZNSbFhzxNOjFh80U+apZejSdQS+EDKwL7cZaWRMp1lotbIgeHsCvShaLVHSMxq5+vrGWMXrYW4UsRICckjyPxX/b5eeJE9w99YWW2Oujat07nirzgNHmWF4tj3kU2Wekag7DahSBZLeNqtlYfOqhfJbC5OHELgiSbPSdbTdLZ5y8Sr61uLOq1qvmxaquSU479n+uXYtsPmS2+PrYXhxzMhrhaLUltg7Xu3j9ZW164e7/+oEkG+377ypbo2F4eq2U8U0+pMFVzbl8IWReuae36ivLYql0s37y4ArWLjsTbFkKP2pd3rYi/cDO4anvdFx3xwuZXDVVb7KesTByxboNbigLXOz2Zc5k6J6Sh7xXGxaFqgq5bAV9lpTZg/PQwjsRqGGyy2S5ik/RaGbBloYXRtKqq7yfqJuXKzrdtPSCKPavZye1R1RzVfoRnpKRqknrB6URu07WMfY1+brKAbJrtabSVB6lrRBrU7UGs24j8yFWLFEoUkOXprcRWmmS/R3eTdHGxCKqatQxpsrJrGXsZn1uKtT6d262RX3KUZPD8H15/M56c72l2dFmCVZ/7DGSQTbQ//hN+dWHYfHGS2PgJynMvdG2vvZ/jm0B0LWOsPyjUbR0CR7uqgsRbCyGbNKwmadnU+pzPKE+H1ayT3dzVfq0uEKwm57D5Ih8dLos/gcp+v64m6YpTzbCuEdFBstBKBB17DiTR1+atA9hr95uKkf0ePXlDNd2lo3mOfp+IrmXsGZahY6ya+bjaZdl0JoONHHEcibfF4niyamvs5lnZj3kHPputg6mtokzRx5Hq5iGopupYTWTlqaAqrtwU3t2CIp9R4rLssPLBM/hIDoD5pmdwhcwnP34U/7H9ZsxcWSROlHoUueyWoPpD2zU/C1C4WaTRIE8+0N0UXINepNPTxVFhBlsfYMVmn8EiFztlwIoVO3GkU09P+W/lA2cktXU8eGu1lJAmaVWWxw3UkvvyCPasjL9ViW/gYNK1jL3jzg3JUd2Mirc4XY/sC9dr5AAko+Y/aVY+Pbw7+duwqHJLBIuyH7G8xZk/62LWfbE6FwfFhYG3dUJ2/7LK27D5VUPty4h8uyIk0b3KOid4Lg71n/dWU/VZagPGt57C21vdo9+sUXQ7sSJSTcMf8KG4Ims3zCjkXdX3lZ2vqZo1cQI4O/4WGjKAkiMEr4zVstyOKy9vh/J/vIi/fqQnGWQto3mds+J367HNHiGo6FHDmz/STU7WSPGh2Z9hyR+TqFm0rb0XH+9292m0RoN+gi1GzWpYbVGMTguT2qbcHkZ/vSF4tF8WSj9ere5hFjT/z8/KPAB0HGEGVNYoUJkGMglXv/ZPdSL8z9itP0SaXOSM9gybb6VBU9d+zr/mWrWfXU31NtUkpF8Ldtr0Mm+9oUYN2ycZ2dwB9B1qNHfoJo21onBQ+1gUNa5Rnjf1Re/MoyhcYRXEcrQhOo0wRhveaI143Wk1OYfNV2lgjwpXRBp0PQNln6+rVM2ETeXzZr1wgdGH1R4o9ZlnMAyG5oqC1tr26GStsojPjD6NVhp5+k1tfhDvFgPt23qCnjj6bgJJKHzhXRSn98H5dlOgvKgYJi4cdi/GAhn0yEBQDiIQx/vNL4m1FMdB+9vlQJilutlZXlTKi0iRV0QA1UWkDc69SQ2ESTSYrCLs/BQ/wv4ZLN4qLp76GLdoEcGg2YXFGtVq5pMb8as+Ip9sfVWVV/mtslC+Y42qQc3vLgeLbXLlH3UsuPLBFRh+o3WniOc9McXYDuIydfdu1+hPte6Z+bg+1t1ElHdj8tHU7pajzgnevq3fVvnA7LqktqNxB/QPrGn2ocovcZF/oxP0ysFM2T53wJAXfRe3TUPpzq2uwQhuVi1jZah7hcry3TWATV/AyAtXzz5Iih6cF3eMhpD9yW+VXUQe9usSYujSC3mNRUBd6D7YV68sEPOuNS7SZfcvp3tD2PyUSG+HW2NdwGS3oTSjGT5E3Aj5c/BfQ+XdPgpd9+VUfPu4yooSo1+oFKtE0e9PAlVy427XKGnXDUJHuEd9xlg3o139nnWDUDVwxR7Z6TNCuKLzXTcQlVfRt+dhj/c+jJKaF3DjbrhvZBzrDBu7cbd7lLR902pp4EOTE95SqKjgR1iyYLQ1StoY2a22Rw7kmer0zXSNkpY1CHqeuY3qxuRdtrjvw+i33Xp75b0nU3Xjbu/o2Oq/cbe4KDTzhZqWpUaTWzfu9t60Ov7G3e6Rc85oOd8b4frduFsNbHFGQcv966pNDpvvSQPzZsH9v/VrzzbKGtZxaL1jhjUaMy4N3POtfGLdVsaptPPeuFuSNasD0W2ne//bNzzO3+zkbau5C7GbMkvufCCCBL8bNscGAJkXUPLC6vvI+9zZZntaz1LPjbs9x4Zboht3j8LQn49D+tvfM26h5aaOn+wVcTdKtkW6cbchNgjIpz+z3zw7jeyuKxarrHRdaHrykXPj7v5qnzdZK8sST/4QnLLCkw+8N+6W1PHeGpvibnwdX95V9Mbd9k3ZzXKgQjfuNm5u7doGY9/Y+8s3H9vH9j7PjbtP3x53U2vJvX8E824GQmwbYgND3P3NXeclwbfcVqwyq81m86ELchv/2xolbdxYPTZoT56T+lzjvnm8QZbLd6yer9+F7AO1/k5LTdzdRxLMV9vnvTG5Td+g/EFzP/mR+y7qKGmD+7yVeJS0yV3uyzuCOHneNUraOCfEfbfBXgdzn1hBrrWM3G+3/Tr5GuOaUHNPevFR2TvKh/E9MP1u3p2Aq/BJwA6YEqnqNHBvow6KEty820+UbQxS2e2PIrVpFC8sDapjG8NUTxroQrBGnvQSzN5+98WhKN7jnvSS2PFzZ4iTmBzQ4hz/MvA440M7iLQCKXXrHfsELU98ckS9N6DyodJI9xmL8d5iK0YHKeIodS6wK5ePwvJI5ONAn4wTP+ml4tzbqC+QfC4OE4m6DVYQ4Pekl2jHsjcoNC/ewtjbELu7hacVRG1DlT/pJTFrG/XFWDU86cVP2DbYAaP3VjX1RV150stJHTAmKzRTC1ELoESq4+AMEmUbg1R2+6Oo6jRKTQFctWp7GoSpbBqloqxQaZCgNcHhqYn2eexcIrU9jSqbB6Sq3saq3oZqKa/OvF3XvMW3hklh2xCmqrexqssaKTSvMWCsFVJ+H0YiojrDuK2Q/HMHi9ICLLrJme9/n0qiAOq2Z3KgTnywSBHJ+yzW02CxLklpDSMRERER1T+sYSQiIiKiQAwYiYiIiCgQA0YiIiIiCsSAkYiIiIgCMWAkIiIiokDVeh/Gyqrs/aJeWhX9QfhEREREZGENIxEREREFYsBIRERERIGqt0n64pvx5B35cJ78Kh3F2od/hQffEi995wPbXp2ISU/LJukR1rNG9XSpqOBH+M271mt3k7T1sP126UewQz/snU3SRERERMmrgRrGPXh95ERcp/+eWAP0vuPnuEbPtQJIZ/51DxciZ8RUTLlJz0YZ1i/9Ecb+Ufwt3YTsPn/CI98dquc58q+5VgSL+g0RERERVViNN0mvWLETR9AcZ16sJ3i99RTe3gp0PPtqPcGw+UH8RASN6DQCd3TR06RhT+Fi8X7HygKU60lEREREVDE1HjAOGNAWTUt2YoVskq6Izeuw5Wg68vLtWsY7ccX57VG++Xks3q0nEREREVGF1UDA2AaXzZ+K5/TfrV124okbnsIKPTfOxTdjUCdg24cv6QleS/B5KZDe7Az1rt8tw5C9ezGee2Guek9ERERElVPjfRive7sZbp1v9mFsjN53OAHlc3fkY68e9BJq2FPomVuE9U/+QU8gIiIiosqq8SZpPL0Ga0vaoHtsUIs96GWhmC7ebl0TEiwOxekZQNnhz9Cvkxw/3R49Jy/CWPk3sg/S0BTtRorXE3+PS6wFiIiIiCgJNR8wajm5A/Ur23I8OKsQRzr1NUZI++jSC3mNy7ClcAlWPzkcMycbf/PloBd5Wx3xeuq9eFMvQkRERETR1XzAeFNf9M48isIVy/UEw1tP4dk1R9FxhNlkbehyFx4Z0g3Y+ioe3qynEREREVFK1figl+dGtMG2V/WNu32s+N3fVZP1ZfN/jovUlHT0HPInzPyx+BPBYnHBj/CT15aoOURERESUetX7pJdKSrt0n37lz/2kl3h80gsRERFR8mpNH0YiIiIiqp0YMBIRERFRoJQ2SRMRERFR/cMaRiIiIiIKxICRiIiIiAIxYCQiIiKiQAwYiYiIiCgQA0YiIiIiCsSAkYiIiIgCMWAkIiIiokAMGImIiIgoEANGIiIiIgrEgJGIiIiIAjFgJCIiIqJADBiJiIiIKBADRiIiIiIKxICRiIiIiAIxYCQiIiKiQAwYiYiIiCgQA0YiIiIiCsSAkYiIiIgCMWAkIiIiokAMGImIiIgoAPD/AbhiS4B10DJYAAAAAElFTkSuQmCC"}}},{"cell_type":"markdown","source":"Create a test set","metadata":{}},{"cell_type":"code","source":"test_data = df[900:1_000].apply(prepare_example_conversation, axis=1).tolist()","metadata":{"execution":{"iopub.status.busy":"2024-06-30T00:59:24.727527Z","iopub.execute_input":"2024-06-30T00:59:24.727933Z","iopub.status.idle":"2024-06-30T00:59:24.737559Z","shell.execute_reply.started":"2024-06-30T00:59:24.727900Z","shell.execute_reply":"2024-06-30T00:59:24.736121Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"The training and test lists then need to be saved as 'json' files to uploaded for the fine tuning process","metadata":{}},{"cell_type":"code","source":"def write_jsonl(data_list: list, filename: str) -> None:\n    with open(filename, \"w\") as out:\n        for ddict in data_list:\n            jout = json.dumps(ddict) + \"\\n\"\n            out.write(jout)","metadata":{"execution":{"iopub.status.busy":"2024-06-28T23:24:53.483545Z","iopub.execute_input":"2024-06-28T23:24:53.483909Z","iopub.status.idle":"2024-06-28T23:24:53.494321Z","shell.execute_reply.started":"2024-06-28T23:24:53.483879Z","shell.execute_reply":"2024-06-28T23:24:53.493100Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"training_file_name = \"lb_TRAIN_00.jsonl\"\nwrite_jsonl(training_data, training_file_name)","metadata":{"execution":{"iopub.status.busy":"2024-06-28T23:24:53.495554Z","iopub.execute_input":"2024-06-28T23:24:53.495932Z","iopub.status.idle":"2024-06-28T23:24:53.522026Z","shell.execute_reply.started":"2024-06-28T23:24:53.495902Z","shell.execute_reply":"2024-06-28T23:24:53.520823Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"test_file_name = \"ft_TEST_00.jsonl\"\nwrite_jsonl(test_data, test_file_name)","metadata":{"execution":{"iopub.status.busy":"2024-06-28T23:24:53.523286Z","iopub.execute_input":"2024-06-28T23:24:53.523676Z","iopub.status.idle":"2024-06-28T23:24:53.530657Z","shell.execute_reply.started":"2024-06-28T23:24:53.523637Z","shell.execute_reply":"2024-06-28T23:24:53.529386Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Training","metadata":{}},{"cell_type":"code","source":"train_file = \"/kaggle/working/lb_TRAIN_00.jsonl\"\ntest_file = \"/kaggle/working/ft_TEST_00.jsonl\"","metadata":{"execution":{"iopub.status.busy":"2024-06-28T23:24:53.532262Z","iopub.execute_input":"2024-06-28T23:24:53.532675Z","iopub.status.idle":"2024-06-28T23:24:53.543196Z","shell.execute_reply.started":"2024-06-28T23:24:53.532639Z","shell.execute_reply":"2024-06-28T23:24:53.541773Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"Defines a Python class 'GpTrain' that contains methods to handle the uploading of files and the fine-tuning of an OpenAI GPT-3.5-turbo model. The class encapsulates the functionality needed to prepare training and validation data files for fine-tuning and then initiates the fine-tuning process.","metadata":{}},{"cell_type":"code","source":"class GpTrain():\n    def upload_files(self):\n        train_upload = client.files.create(\n                            file=open(train_file, \"rb\"),\n                            purpose=\"fine-tune\")\n        valid_upload = client.files.create(\n                            file=open(test_file, \"rb\"),\n                            purpose=\"fine-tune\")\n        \n        train_id = train_upload.id\n        valid_id = valid_upload.id\n        return train_id, valid_id\n    def train_gpt(self):\n        train_id, valid_id = self.upload_files()\n        t = client.fine_tuning.jobs.create(\n                        training_file = train_id,\n                        validation_file = valid_id,\n                        model = \"gpt-3.5-turbo\")\n        print(f'Trained: {t}')","metadata":{"execution":{"iopub.status.busy":"2024-06-28T23:24:53.544726Z","iopub.execute_input":"2024-06-28T23:24:53.545554Z","iopub.status.idle":"2024-06-28T23:24:53.556412Z","shell.execute_reply.started":"2024-06-28T23:24:53.545510Z","shell.execute_reply":"2024-06-28T23:24:53.555305Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"Create an instance of 'GpTrain'","metadata":{}},{"cell_type":"code","source":"fine_tune = GpTrain()","metadata":{"execution":{"iopub.status.busy":"2024-06-28T23:24:53.557763Z","iopub.execute_input":"2024-06-28T23:24:53.558191Z","iopub.status.idle":"2024-06-28T23:24:53.567661Z","shell.execute_reply.started":"2024-06-28T23:24:53.558153Z","shell.execute_reply":"2024-06-28T23:24:53.566550Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"Start fine tuning\n\nNote that if no hyperparameters are set then `n_epochs`, `batch_size` and `learning_rate_multiplier` will automatically default to `auto`. The `n_epochs` will impact overall costs and the default number is 4.","metadata":{}},{"cell_type":"code","source":"fine_tune.train_gpt()","metadata":{"execution":{"iopub.status.busy":"2024-06-28T21:57:24.047924Z","iopub.execute_input":"2024-06-28T21:57:24.048443Z","iopub.status.idle":"2024-06-28T21:57:28.104284Z","shell.execute_reply.started":"2024-06-28T21:57:24.048376Z","shell.execute_reply":"2024-06-28T21:57:28.103127Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"You can view training data [here](https://platform.openai.com/finetune)  Here is a snapshot\n\n![train_two_updated.png](attachment:9d843d21-48b6-4dc3-a456-c1093e1ec1a9.png)","metadata":{},"attachments":{"9d843d21-48b6-4dc3-a456-c1093e1ec1a9.png":{"image/png":"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"}}},{"cell_type":"markdown","source":"# Evaluating the training","metadata":{}},{"cell_type":"markdown","source":"### Viewing your Fine-tuning \n\nYou can view you jobs [here](https://platform.openai.com/finetune) and copy the JOB ID","metadata":{}},{"cell_type":"code","source":"trained_job = client.fine_tuning.jobs.retrieve(\"ftjob-nD2NYB2hJuD2lzhPIEAU5rDP\")\ntrained_job","metadata":{"execution":{"iopub.status.busy":"2024-06-30T00:53:50.026147Z","iopub.execute_input":"2024-06-30T00:53:50.026584Z","iopub.status.idle":"2024-06-30T00:53:50.411449Z","shell.execute_reply.started":"2024-06-30T00:53:50.026553Z","shell.execute_reply":"2024-06-30T00:53:50.410233Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"Create a few functions to aid using the test_data for validation and later for the submission test file","metadata":{}},{"cell_type":"code","source":"def create_test_message(row):\n    return [\n        {\"role\": \"system\", \"content\": \"You are pharmacist and expert in drug discovery\"},\n        {\"role\": \"user\", \"content\": f\"What is the probability that '{row['molecule_smiles']}' will bind to '{row['protein_name']}'?\"}\n    ]","metadata":{"execution":{"iopub.status.busy":"2024-06-30T01:22:08.617191Z","iopub.execute_input":"2024-06-30T01:22:08.618283Z","iopub.status.idle":"2024-06-30T01:22:08.624299Z","shell.execute_reply.started":"2024-06-30T01:22:08.618243Z","shell.execute_reply":"2024-06-30T01:22:08.622996Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"def get_completion_from_messages(messages, model, max_tokens, temperature):\n    response = openai.chat.completions.create(\n        model=model,\n        messages=messages,\n        max_tokens=max_tokens,\n        temperature=temperature\n    )\n    return response.choices[0].message.content\n","metadata":{"execution":{"iopub.status.busy":"2024-06-30T01:22:09.313807Z","iopub.execute_input":"2024-06-30T01:22:09.314251Z","iopub.status.idle":"2024-06-30T01:22:09.321240Z","shell.execute_reply.started":"2024-06-30T01:22:09.314219Z","shell.execute_reply":"2024-06-30T01:22:09.319722Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"To allow for faster processing we use `nest_asynico` to modify the behavior of Python's asyncio event loop to allow nested event loops to run.","metadata":{}},{"cell_type":"code","source":"nest_asyncio.apply()","metadata":{"execution":{"iopub.status.busy":"2024-06-30T01:22:12.953160Z","iopub.execute_input":"2024-06-30T01:22:12.953558Z","iopub.status.idle":"2024-06-30T01:22:12.960227Z","shell.execute_reply.started":"2024-06-30T01:22:12.953528Z","shell.execute_reply":"2024-06-30T01:22:12.958671Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"results = []","metadata":{"execution":{"iopub.status.busy":"2024-06-30T01:12:06.099575Z","iopub.execute_input":"2024-06-30T01:12:06.100116Z","iopub.status.idle":"2024-06-30T01:12:06.105241Z","shell.execute_reply.started":"2024-06-30T01:12:06.099995Z","shell.execute_reply":"2024-06-30T01:12:06.104092Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"async def fetch(session, row):\n    headers = {\n        'Authorization': f'Bearer {os.environ[\"OPENAI_API_KEY\"]}',\n        'Content-Type': 'application/json'\n    }\n    messages = create_test_message(row)\n    payload = {\n        \"model\": \"ft:gpt-3.5-turbo-0125:pillview::9dCZ091W\",\n        \"messages\": messages,\n        \"max_tokens\": 50,\n        \"temperature\": 0\n    }\n    async with session.post('https://api.openai.com/v1/chat/completions', json=payload, headers=headers) as response:\n        try:\n            result = await response.json()\n            return {'id': row['id'], 'bind_probability': result['choices'][0]['message']['content']}\n        except aiohttp.ContentTypeError as e:\n            print(f\"Error: {e}\")\n            print(f\"Response status: {response.status}\")\n            print(f\"Response content: {await response.text()}\")\n            return {'id': row['id'], 'bind_probability': 0}\n\nasync def process_chunk(chunk):\n    results = []\n    async with aiohttp.ClientSession() as session:\n        tasks = [fetch(session, row) for _, row in chunk.iterrows()]\n        for task in tqdm(asyncio.as_completed(tasks), total=len(tasks), desc=\"Processing\"):\n            result = await task\n            results.append(result)\n    return results","metadata":{"execution":{"iopub.status.busy":"2024-06-30T01:12:11.852125Z","iopub.execute_input":"2024-06-30T01:12:11.852536Z","iopub.status.idle":"2024-06-30T01:12:11.864821Z","shell.execute_reply.started":"2024-06-30T01:12:11.852507Z","shell.execute_reply":"2024-06-30T01:12:11.863515Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"test_data = df[900:902]; test_data","metadata":{"execution":{"iopub.status.busy":"2024-06-30T01:26:03.528171Z","iopub.execute_input":"2024-06-30T01:26:03.528637Z","iopub.status.idle":"2024-06-30T01:26:03.544174Z","shell.execute_reply.started":"2024-06-30T01:26:03.528602Z","shell.execute_reply":"2024-06-30T01:26:03.542786Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"async def main():\n    results = []\n    async with aiohttp.ClientSession() as session:\n        tasks = [fetch(session, row) for _, row in test_data.iterrows()]\n        for task in tqdm(asyncio.as_completed(tasks), total=len(tasks), desc=\"Processing\"):\n            result = await task\n            results.append(result)\n    return results","metadata":{"execution":{"iopub.status.busy":"2024-06-30T01:12:21.880160Z","iopub.execute_input":"2024-06-30T01:12:21.880547Z","iopub.status.idle":"2024-06-30T01:12:21.887966Z","shell.execute_reply.started":"2024-06-30T01:12:21.880520Z","shell.execute_reply":"2024-06-30T01:12:21.886662Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"%%time\n# Run the async main function\nloop = asyncio.get_event_loop()\nresults = loop.run_until_complete(main())","metadata":{"execution":{"iopub.status.busy":"2024-06-30T01:12:23.965944Z","iopub.execute_input":"2024-06-30T01:12:23.966406Z","iopub.status.idle":"2024-06-30T01:12:30.753931Z","shell.execute_reply.started":"2024-06-30T01:12:23.966374Z","shell.execute_reply":"2024-06-30T01:12:30.752845Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"results","metadata":{"execution":{"iopub.status.busy":"2024-06-30T01:13:04.761578Z","iopub.execute_input":"2024-06-30T01:13:04.762049Z","iopub.status.idle":"2024-06-30T01:13:04.771805Z","shell.execute_reply.started":"2024-06-30T01:13:04.761991Z","shell.execute_reply":"2024-06-30T01:13:04.770556Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Submission","metadata":{}},{"cell_type":"code","source":"test_df = pd.read_csv('/kaggle/input/leash-BELKA/test.csv')\nlen(test_df)","metadata":{"execution":{"iopub.status.busy":"2024-06-30T01:17:05.518567Z","iopub.execute_input":"2024-06-30T01:17:05.519048Z","iopub.status.idle":"2024-06-30T01:17:12.596813Z","shell.execute_reply.started":"2024-06-30T01:17:05.518999Z","shell.execute_reply":"2024-06-30T01:17:12.595743Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"The submission process is extensive using this method as there are over 1.6 million rows in the test set.  Creating the submission file has to be done in batches as I found memory issues (and cost!).  Batches of 50_000 work the best.","metadata":{}},{"cell_type":"code","source":"test_df = test_df[:50_000]; test_df","metadata":{"execution":{"iopub.status.busy":"2024-06-30T01:19:59.940871Z","iopub.execute_input":"2024-06-30T01:19:59.941368Z","iopub.status.idle":"2024-06-30T01:19:59.962438Z","shell.execute_reply.started":"2024-06-30T01:19:59.941336Z","shell.execute_reply":"2024-06-30T01:19:59.960994Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"results = []","metadata":{},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"Update this code for `test-df`","metadata":{}},{"cell_type":"code","source":"async def main():\n    results = []\n    async with aiohttp.ClientSession() as session:\n        tasks = [fetch(session, row) for _, row in test_df.iterrows()]\n        for task in tqdm(asyncio.as_completed(tasks), total=len(tasks), desc=\"Processing\"):\n            result = await task\n            results.append(result)\n    return results","metadata":{},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"%%time\n# Run the async main function\nloop = asyncio.get_event_loop()\nresults = loop.run_until_complete(main())","metadata":{},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"submission = pd.DataFrame(results)","metadata":{},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"submission.rename(columns={'bind_probability': 'binds'}, inplace=True)","metadata":{},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"submission","metadata":{},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# References","metadata":{}},{"cell_type":"markdown","source":"**-  [Tx-LLM: A Large Language Model for Therapeutics](https://arxiv.org/abs/2406.06316)**\n\n**- [EQUIBIND: Geometric Deep Learning for Drug Binding Structure Prediction](https://arxiv.org/pdf/2202.05146)**","metadata":{}},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]}]}