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Parent(s):
initial commit
Browse files- .gitignore +5 -0
- main.sync.ipynb +89 -0
- main.sync.py +24 -0
- requirements.txt +8 -0
.gitignore
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.nvim.lua
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.project_env
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venv/
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.ipynb_checkpoints/
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main.sync.ipynb
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "a5727319",
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"metadata": {},
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"outputs": [],
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"source": [
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"import numpy as np\n",
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"x = np.linspace(0, 10, 100)\n",
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"y = np.sin(x)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "0d267378",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"image/png": 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cL9dje0GV2OFQF5jgeLB/7jsHk9mK8QMDMXFwsNjh9ImMkZGID/OFvs2Mj7K5bwyRKzhYVI/DpY1QKeV4YHKc2OH0iSBfFe5LsxUafTPzNHtxXBATHA+lb2vH/2XZdvD91fR4t51781NyuQwPz7B1f7+79xza2i0iR0RE7+w+AwC4a3yMJHpv7JZMHQKNlxyHSxuxm9vFuBwmOB7qo+xiNBnNSAj3Q/qICLHD6VO3j43GgEBvVDcZHdVSiUgchVXN+D6/CjIZ3KZCek+F+qkxP9XWi/MWe3FcDhMcD9TWbsF7e22TcH81PR5yN6t7cyVeCjmWTrMV41q76wzMFqvIERF5rvf22so2pI+IQHyYn8jR9L3/mTYEKqUcP5yvR865OrHDoYswwfFAG38sQ3WTEVFaDW5LjhY7HKf4+YRYhPiqUFrfiq+OlIsdDpFHqm4y4vNDtjIU9kaH1IQHaHB3SgwA2+IGch1McDyMxSrgH7ts4+EPTbW1PKTIW6XAg1Ns3eFrd55l1zGRCD7IKoLJbMW4gYGYMMh99pzqrfvT4gAAW09UoryhVdxgyEGa327Ura3HdSiqbUGgjxfmXedee0711oLrB8HbS4GTlU3sOibqZy0mM/7vgG0hw9KpQySzkKErwyP9kTYkBBargH91vGcSHxMcD/NBx8qp+akD4at2jx3Dr5bW2wtzxw0AAHzAiw5Rv/rsh1I0tLRjUIgPZo2MFDscp7MX/vvkYAlXb7oIJjgepLCqGVlnayGXAb/smPkvdfddb3uf3x3ToUrPTTiJ+oPFKjgWMjw0ZbDbbeB7NdJHhGNAoDfqDCZ8dZjz/lxBvyQ4a9asQVxcHDQaDVJTU5GTk9PtsTNmzIBMJrvkNmfOHMcxDzzwwCWPz549uz/eilv7MNvWi3FjYgQGBHqLHE3/SIoOwIRBQTBbBXxysETscIg8wu7T1Siua0GARom7U6Q9FG6nVMixoKNBtWF/Eef9uQCnJziffvopVqxYgeeffx6HDh1CcnIyMjIyUFXVdWnrL774AhUVFY7bsWPHoFAocM8993Q6bvbs2Z2O+/jjj539Vtxaq8mCzztqwiy4fqDI0fQve7XRj7KLuWScqB/Yq4jflRIDb5VC5Gj6z7zrYqFWynG8XI/c8/Vih+PxnJ7gvPHGG1iyZAkWLVqEpKQkrF27Fj4+Pli/fn2XxwcHByMyMtJx27ZtG3x8fC5JcNRqdafjgoKkO0O/L3x1uBz6NjMGBvtg2tAwscPpV7NHRSLUTwWdvg3f51eKHQ6RpOka2xx7M/1yomc1poJ8Vbh9rK30BpeMi8+pCY7JZEJubi7S09MvvKBcjvT0dGRlZfXoHO+99x7mzZsHX1/fTvfv3LkT4eHhGD58OB5++GHU1tZ2ew6j0Qi9Xt/p5mnsqxl+mTpQcoX9rkStVODejhVj9knWROQc//6hBBargOvigjA0wl/scPqdfbLxlmM6VHLen6icmuDU1NTAYrEgIqLzVgARERHQ6XRXfH5OTg6OHTuGhx56qNP9s2fPxgcffIDMzEy88sor2LVrF26++WZYLF3PXF+9ejW0Wq3jFhvrGWPCdodLGnC0rBEqhRz3dBSk8jS/TB0EuQzYf6YWhVVNYodDJEkWq4BPcmzDU79M9azeG7uR0VpcF2eb9/chV2+KyqVXUb333nsYPXo0Jk6c2On+efPm4bbbbsPo0aMxd+5cbN68GQcPHsTOnTu7PM/KlSvR2NjouJWUeNZkU3tdhltGRyJEQhvd9caAQG/M7Nhz618HuMs4kTPsOlWF8sY2aL29cPOoKLHDEY29F+fjgyWc9ycipyY4oaGhUCgUqKzsPO+hsrISkZGXr4tgMBjwySefYPHixVd8nSFDhiA0NBSFhYVdPq5WqxEQENDp5ikaW9odWxXYJ9t6KvuS8c9zS2EwmkWOhkh6Psq2NR7vGh8DjZfnTC7+qVlJkQj2VaG6yYjdp6vFDsdjOTXBUalUSElJQWZmpuM+q9WKzMxMpKWlXfa5n332GYxGIxYsWHDF1yktLUVtbS2iojy3xdCd/xwqRVu7FYmR/hg/0LMnYk9JCMXgUF80Gc3YxDoVRH2qorEV2wtsjdlfpnrWNICfUinluKOjyOi/D5aKHI3ncvoQ1YoVK7Bu3Tq8//77yM/Px8MPPwyDwYBFixYBABYuXIiVK1de8rz33nsPc+fORUhISKf7m5ub8eSTT+LAgQMoKipCZmYmbr/9diQkJCAjI8PZb8etCILgqH2z4PpBki6V3hNyucyxPcV/cnnRIepLnx4sgVUAJg4ORkK4500u/ql7JtjmO2YWVKK22ShyNJ7J6QnOvffei9dffx2rVq3C2LFjkZeXhy1btjgmHhcXF6OioqLTc06ePIm9e/d2OTylUChw5MgR3HbbbRg2bBgWL16MlJQU7NmzB2q1Z84v6c6h4gacrTbA20vh2LLA090xbgDkMiD3fD3O1RjEDodIEswWKz7tKKQ530MnF/9UYmQAxsRo0W4R8GUee4zF0C+bES1btgzLli3r8rGuJgYPHz682yqQ3t7e+O677/oyPMn64pCtl+LmUZHwk/i+Uz0VHqDBtGFh2HmyGp/nluK3GcPFDonI7e06VY2KxjYE+XghwwP2neqpe1JicKS0EZ/9UIIHJ8d5fC96f3PpVVR09draLY79UO7y0KXh3bm74/P44lAprFaWUye6Vv/+wdZ7c6eHTy7+qduSB0CllKNA14RjZZ5Xf01sTHAkantBFfRtZkRpNbh+SMiVn+BB0kdEIECjRHljG7LOdl8gkoiurKHF5KhcbJ93Qjbai3q0Psv1rPIkroAJjkTZ9526Y9wAj9jJtzc0Xgrcmmwrp/45JxsTXZPNRyrQbhGQGOmPxEjPKcHRU/biqv/NK0dbe9fFaMk5mOBIUHWTETtP2Wov3DmeLaqu2Iftvj2mQzNr4hBdtY0/lgEA7hzPhQxdmZwQimitBo2t7dh2gnvh9ScmOBK06XA5LFYBybGBSAj3EzsclzQuNhBDwnzR2m7BN0crrvwEIrpEcW0Lcs/XQy4Dbh/LBKcrCrnM0aD6jD3G/YoJjgTZh13uZouqWzKZDHd19G6xJg7R1bH33kxOCEVEgEbkaFyXfWHDntPVKG9oFTkaz8EER2LyK/Q4UaGHl0KGn42JFjscl3bn+AGQyYCcc3Uorm0ROxwityIIAjb+aGsczGXvzWUNCvFF6uBgCALwZV6Z2OF4DCY4EmOvfTMzMQJBviqRo3FtUVpvTEkIBQB8foi9OES98WNJA4pqW+DtpcDsUax9cyX2rRs2sehfv2GCIyFmixUbf7T98XDCX884auL8WNptcUkiutSXHcNTGSMj4MtColc0e1QkvBQyFOiacLqySexwPAITHAnZU1iDmmYjgn1VmDE8XOxw3MKspEj4qhQoqWvFjyUNYodD5BZMZqujkOgdXKnZI4E+KkwbGgYAjs+OnIsJjoT8t6NFdeuYKKiU/NH2hLdKgZuSbPui8aJD1DO7TlWjvqUdoX5qTI5nIdGeum2sbV7kpsPl7DHuB/wWlIi2doujxoL9j4h6xj4Z++sjFbBw6waiK7JPLr59bDSUCn6N9FT6iAhovOQoqm3B0bJGscORPP5mSsTOk9UwmCyI1mowLjZI7HDcytRhoQjQKFHVZMTBojqxwyFyafq2dnyfb9uawT5xlnrGV61E+ghbjzEnGzsfExyJ2HzE9scyZ0wU5NyaoVfUSoVjvxj750hEXdt2vBImsxXxYb4YGc2tGXrrto5tYjYfqeBmv07GBEcCWkxmZHa0qFj75urY96b69qgOZotV5GiIXJe98vfPxkRDJmNjqremDw9DgEYJnb4NOewxdiomOBKwo6Aare0WxAZ7Y0yMVuxw3NKk+BAE+6pQazBxh3GibjS2tmPP6RoAtt5i6j218kLdoE1c2OBUTHAkwDE8NZotqqulVMgdF53Nh7k3FVFXvj9RCZPFiqHhfhgW4S92OG7rtmTb3KVvj1agnT3GTsMEx801G83YXmAfnmKL6lrc2jG89+2xCpjMvOgQ/ZR9eOqW0bzWXIu0+BCE+qlR39KOvR09YtT3mOC4ucz8ShjNVgwO5YS/azVxcDDC/NXQt5mxt7Ba7HCIXEpjazt2n7b9XXB46too5DLMGW3rMWb9LedhguPmNh+xtajmjI7i8NQ1sl10bBfurzhMRdTJ9ycq0W4RODzVR+z1yraeqERbu0XkaKSJCY4b07e1Y9dJW4vqZ8lsUfWFWzs+x2286BB1Yh+eYu9N3xgXG4TIAA2ajWbsK+QwlTMwwXFj247bJvwlhPthOFtUfWJcbBAGBHqj2WjGzpMcpiICfjI8xfk3fUIulzkWNmw5phM5GmliguPG7KunfjaGw1N9RS6XOVqo9hYrkaezD08Ni/DDUDam+oy9wOi2/EqupnICJjhuqrG1HXs7ujW5eqpv2VtVOwqqYDRzmIroa66ecoqJg4MR4qtCQ0s7cs6x6F9fY4LjprYXXJjwlxDOFlVfGhsTiHB/NZqMZuw/w6J/5Nlsxf04POUMCrkMNyXZ9qb69hh7jPsaExw39d0x287h9i5O6jtyuQyzRtouOluPc2ycPBuHp5zL3mP83fFK7k3Vx5jguKG2dgt2nbK1qJjgOMfskbaW6tbjlbDwokMezN6zwOEp55gUHwp/jRLVTUYcKq4XOxxJYYLjhvacrkFruwUDAr0xagCL+zlD6pBgaL29UGswIfc8LzrkmQxGM3Z3VNq9eRQTHGdQKeVIH2HrMeZqqr7FBMcNfdcxbHJTUgRXTzmJl0KOmYnhAC583kSeZs/papjMVgwK8cGwCD+xw5Ese0/8t8d0EAT2GPcVJjhuxmyxIjOf82/6Q8ZFNSp40SFPtPW47Vozi40pp5o+LAzeXgqUNbTieLle7HAkgwmOm8kpqkN9SzuCfLxwXVyQ2OFI2rShYdB4yXnRIY/UbrEis2Mj35uS2JhyJm+VAjOGhwHgaqq+1C8Jzpo1axAXFweNRoPU1FTk5OR0e+yGDRsgk8k63TQaTadjBEHAqlWrEBUVBW9vb6Snp+P06dPOfhsuwd6iSh8RAaWC+akzeasUmD7MdtHhMBV5moPn6tDY2o5gXxVSBrEx5Wysatz3nP4N+emnn2LFihV4/vnncejQISQnJyMjIwNVVVXdPicgIAAVFRWO2/nz5zs9/uqrr+LNN9/E2rVrkZ2dDV9fX2RkZKCtrc3Zb0dUgiA4li1zeKp/XFjCyYsOeZatJ+yNqXAo5ByecrYbE8OhUshxptqA05VNYocjCU5PcN544w0sWbIEixYtQlJSEtauXQsfHx+sX7++2+fIZDJERkY6bhEREY7HBEHAX/7yFzz77LO4/fbbMWbMGHzwwQcoLy/Hl19+6ey3I6pjZXqUN7bBR6XAlKGhYofjEW4cHgGlXIZTlc04W90sdjhE/UIQBGw7YZ9/w8ZUf/DXeDmu6+zF6RtOTXBMJhNyc3ORnp5+4QXlcqSnpyMrK6vb5zU3N2PQoEGIjY3F7bffjuPHjzseO3fuHHQ6XadzarVapKamdntOo9EIvV7f6eaO7L0IM4aHQeOlEDkaz6D18UJafAgAWyEuIk9wvFyPsoZWeHuxMdWfZnVUNf6+oPsRDuo5pyY4NTU1sFgsnXpgACAiIgI6XdcZ6vDhw7F+/Xr897//xb/+9S9YrVZMmjQJpaWlAOB4Xm/OuXr1ami1WsctNjb2Wt+aKL7j8JQo7J83h6nIU9iHp6YPY2OqP93YUZricEkDqvTSnnLRH1xulmpaWhoWLlyIsWPHYvr06fjiiy8QFhaGf/zjH1d9zpUrV6KxsdFxKykp6cOI+8fZ6macrmqGUi7DjOHhYofjUWxLZIG8kgboGnnRIenbelGtLeo/4QEaJMcGAoBjBRtdPacmOKGhoVAoFKis7Ny1X1lZicjInvVCeHl5Ydy4cSgsLAQAx/N6c061Wo2AgIBON3djb1GlxYdA6+0lcjSeJTxAg+SYQADAdl50SOKKa1tQoGuCQi5z9ChQ/7lphO0zt9c7o6vn1ARHpVIhJSUFmZmZjvusVisyMzORlpbWo3NYLBYcPXoUUVG2MuGDBw9GZGRkp3Pq9XpkZ2f3+JzuyDHhj8NTokjnRYc8xNYTtt6biXHBCPJViRyN50nv6DXbc7oGrSaLyNG4N6cPUa1YsQLr1q3D+++/j/z8fDz88MMwGAxYtGgRAGDhwoVYuXKl4/gXXngBW7duxdmzZ3Ho0CEsWLAA58+fx0MPPQTAtsJq+fLl+OMf/4hNmzbh6NGjWLhwIaKjozF37lxnvx1R1BlMjk3Y7F+01L9mduwVs7eQFx2StguNKQ5PiWF4hD8GBHrDaLZib2GN2OG4NaWzX+Dee+9FdXU1Vq1aBZ1Oh7Fjx2LLli2OScLFxcWQyy/kWfX19ViyZAl0Oh2CgoKQkpKC/fv3IykpyXHMU089BYPBgKVLl6KhoQFTpkzBli1bLikIKBU7CqogCEBSVACitN5ih+OREiNtF52yhlbsK6xxtLKIpKTOYMLBojoAnH8jFplMhpuSIrBhfxEy8yv5c7gGMsEDN9nR6/XQarVobGx0i/k4j354CF8frcBvbkzAilnDxQ7HY6367zF8kHUev5gYi9V3jhE7HKI+93luKZ747DCSogLwzWNTxQ7HY+09XYMF72Uj1E+NnN/NhJyFFh168/3tcquoqDOT2Yrdp6oBADeOYCYvJvuEy8z8KlitHtcuIA+w/aRtEv1MDoWLauLgYPirlahpNuJwaYPY4bgtJjgu7mBRHZqMZoT6qTFmgFbscDza9UNC4KNSoKrJyM03SXLaLVbsPtnRmOLqKVGplHJM69h8MzOfKzevFhMcF2f/5b4xMYzdlCLTeCkwtaOq6/dcTUUSY29MhfiqHGURSDw3dfTY81pz9ZjguDBBEJBZYPvlnsnhKZdg/znYfy5EUrG9ozF1Q2I4G1MuYMbwMCjkMhTomlBS1yJ2OG6JCY4LO1NtwPnaFqgUckxJ4H4wruDGxHDIZLaNT1nVmKTEPv+Gw1OuIdBHhQmDggCw/tbVYoLjwuy/1GnxIfBVO31FP/VAqJ8aYx2l1HnRIWk4V2PA2WoDlHKZYxiWxGdfIv495+FcFSY4Lsy+FwlXNLiWdPswFS86JBH2LUhShwTDX8OtYFyFfUj8wNlaNLW1ixyN+2GC46IaWkzIPW+rXswuY9diTzj3saoxScT2jt7IG7iRr0sZHOqLIaG+MFsF7GNV415jguOidp2qhsUqIDHSHzFBPmKHQxe5uJQ6Lzrk7pra2pFzzla9mIsZXM+MjqSTG/32HhMcF2Ufc+XwlOuRyWSOnwvn4ZC723u6Bu0WAUNCfTE41FfscOgn7D34O05WwwM3HrgmTHBcULvFil2OFQ1sUbkix0WngBcdcm/2uX4cCndN1w0Ogo9KgWoWGO01JjguKPd8PfRtZgT7qhwrdsi1XD8kBBovOXT6NpysbBI7HKKrYrUK2Mnl4S5NrVRgckeZEPvPinqGCY4L2tlRLn36MFuhJ3I9Gi8F0oaEALD14hC5oyNljahpNsFfrcSEuGCxw6Fu2Cd/7zjJa01vMMFxQfYsfUbHXiTkmm7oaPGyVUXuantHra1pw8KgUvLrwFXZvwt+LK5HvcEkcjTug7/RLkbX2IYCXRPkMmDaUCY4rmzGMFuC88P5euhZo4LckL168Q0cnnJp0YHeSIz0h1UAdp9mL05PMcFxMfbegOTYQAT5qkSOhi5nYIgPhoT5wmIVsO80l4uTe6lqasOxMtuk1enD2Jhydfbl4js5TNVjTHBcjP2X1947QK7twtg4h6nIvew+ZUvKRw/QIsxfLXI0dCU3dAxT7TxZBYuVKzd7ggmOC2m3XCgcx/k37mGG46LD5eLkXjjXz72MHxQEf40S9S3tOFzaIHY4boEJjgvJPV+PJqMZIb4qjB6gFTsc6oGJg4Ph7aVAVZMRJypYo4Lcg8UqYM9pNqbciZdC7piXuZNVjXuECY4LsQ9zTB8WBjmXh7sFW40K23Jxjo2Tu8graUBjazsCNEokxwSKHQ710A2JXC7eG0xwXMgue/0btqjcyoXJf2xVkXuwV0qfOiwMSgW/BtyFfTL40bJGVDW1iRyN6+NvtouoaGzl8nA3Ze/izz1fj8YWLhcn17frlH0xA6817iTMX40xMbbpC7vYi3NFTHBchP2XdSyXh7udmCAfDA33g1UA9hTyokOurbbZiCNljQC4PNwdcbl4zzHBcRE7HCsauDzcHd1w0eabRK5s9+lqCAKQFBWA8ACN2OFQL9mT0r2FNTBbrCJH49qY4LgAk9mKfYW1ALiiwV3Zu/p3naqGlTUqyIU5am3xWuOWkmO0CNAo0djajsOljWKH49KY4LiA3PP1aDaaEeqnwqhoLg93RxPiguGrUqCm2Yjj5VwuTq7JYhWw2z7/hr3FbkmpkGNqxzxN+8+SusYExwXsPGUbnpo2lMvD3ZVKKcekhFAA3CuGXNfRskbUt7TDX63EuIGBYodDV2naMNu1ZhcTnMtiguMCuDxcGqZdNExF5IrspQymDA2FF5eHuy37teZIaQN3F78M/oaLrFJv2z1cxuXhbm96x8/v0Pl6NHF3cXJBnH8jDVFabwyLsK3c3FvIjX67wwRHZPYx1DEDtFwe7uYGhvggLsQHZquArDO1YodD1Em9weTYw2g6N/N1e/bVVJyH0z0mOCLb3bEfzDTWo5AE+8+R83DI1ewprIEgAImR/ojUcnm4u7v4WsONfrvWLwnOmjVrEBcXB41Gg9TUVOTk5HR77Lp16zB16lQEBQUhKCgI6enplxz/wAMPQCaTdbrNnj3b2W+jz1msAvZ2fBEywZEG+zDjrlO86JBrsbf0WdxPGq6LC4bGS45KvREnK5vEDsclOT3B+fTTT7FixQo8//zzOHToEJKTk5GRkYGqqq737dm5cyd+8YtfYMeOHcjKykJsbCxmzZqFsrKyTsfNnj0bFRUVjtvHH3/s7LfS545dtKJhbGyg2OFQH0iLD4GXQoaSulYU1baIHQ4RAEAQBOzpaExN5Vw/SdB4KZA2xLbRL7dt6JrTE5w33ngDS5YswaJFi5CUlIS1a9fCx8cH69ev7/L4Dz/8EI888gjGjh2LxMREvPvuu7BarcjMzOx0nFqtRmRkpOMWFBTk7LfS5+wtKtuXIkcLpcBXrcSEQcEAODZOruNkZRMq9UZovOSYEOd+10rqGofEL8+p36omkwm5ublIT0+/8IJyOdLT05GVldWjc7S0tKC9vR3BwcGd7t+5cyfCw8MxfPhwPPzww6it7X5Sp9FohF6v73RzBbs5PCVJ0zj5j1zMnlO2uX7XDwmBxkshcjTUV+zDjQfP1aPFZBY5Gtfj1ASnpqYGFosFERERne6PiIiATqfr0TmefvppREdHd0qSZs+ejQ8++ACZmZl45ZVXsGvXLtx8882wWCxdnmP16tXQarWOW2xs7NW/qT6ib2vHoeIGABwTlxp7Ea6ss7UwmblXDIlvN4enJGlwqC9igrxhslhx4CxXbv6US4+L/OlPf8Inn3yCjRs3QqO5MOt/3rx5uO222zB69GjMnTsXmzdvxsGDB7Fz584uz7Ny5Uo0NjY6biUlJf30Drq3v7AWFquAwaG+iA32ETsc6kMjIgMQ6qdGi8mCH87XiR0Oebi2dguyz9l+D6d3JN8kDTKZzNFA5jycSzk1wQkNDYVCoUBlZWWn+ysrKxEZGXnZ577++uv405/+hK1bt2LMmDGXPXbIkCEIDQ1FYWFhl4+r1WoEBAR0uonNMTw1lBccqZHLZY6f6+5TLMJF4so+VweT2YoorQbxYX5ih0N97MI8HF5rfsqpCY5KpUJKSkqnCcL2CcNpaWndPu/VV1/Fiy++iC1btmDChAlXfJ3S0lLU1tYiKiqqT+J2NkG4sOEd599IE+fhkKtwXGuGhkEm4153UjMpPgRKuQznagwo5srNTpw+RLVixQqsW7cO77//PvLz8/Hwww/DYDBg0aJFAICFCxdi5cqVjuNfeeUVPPfcc1i/fj3i4uKg0+mg0+nQ3NwMAGhubsaTTz6JAwcOoKioCJmZmbj99tuRkJCAjIwMZ7+dPnGuxoDS+lZ4KWS4vmOZH0nLlI4enBMVelQ1tYkcDXkyx/JwDk9Jkr/GC+MH2VbGcTVVZ05PcO699168/vrrWLVqFcaOHYu8vDxs2bLFMfG4uLgYFRUVjuPffvttmEwm3H333YiKinLcXn/9dQCAQqHAkSNHcNttt2HYsGFYvHgxUlJSsGfPHqjVame/nT5hb1FNGBQMX7VS5GjIGUL91Bg9QAvgwgoWov5W0diKU5XNkMuAKQlMcKTKPiS+l8NUnfTLt+uyZcuwbNmyLh/76cTgoqKiy57L29sb3333XR9FJg5uz+AZpg0LxdGyRuw+XY27UmLEDoc8kD25HhMTiEAf7nUnVVOGhuH1raew70wNzBYrlKyrBsDFV1FJkdFscWzEOI1dxpJm37Zh7+kaWK3ctoH6HxczeIbRA7TQenuhqc2Mw6WNYofjMpjg9LPc8/Vobbcg1E+NEZHir+Yi5xk3MAg+KgVqDSbk61yjuCR5DotVwN5C9hZ7AoVc5hiC3MN5OA5McPrZno7hqalDQyGXc0WDlKmUcsdeMXs4Nk797FhZIxo69rpL5l53kjd1qD3B4bXGjglOP9t7UYJD0nfhosNWFfUv+2KGSQnc684T2Fdu5pU0oLG1XeRoXAN/6/tRncGEY+W28VGuaPAMUzrm4RwsqkerqeutRIicgXvdeZaYIB8MCfOFxSo45nl6OiY4/WhfYQ0EAUiM9Ed4gObKTyC3Fx/mi2itBiazFTlF3LaB+kfTRXvdTU1gguMp7Asb2GNswwSnH9l/6dh74zlkMpljg8O9vOhQPzlwtg4Wq4BBIT4YGMK97jwF5+F0xgSnnwiCcGH+DbuMPcoUXnSon+117B7OxpQnuX5ICLwUMhTXteB8rUHscETHBKefnKk2oLyxDSqFHBPjgsUOh/rR5IRQyGRAga4JVXpu20DOt6djefgUDk95FF+1EuMG2rdtYIOKCU4/sbeorhscBG+VQuRoqD8F+6owKtq2bYO9LgmRs5Q1tOJstQFyGZAWz73uPI29qOMebvTLBKe/2Icn2KLyTBwbp/5ib0yNjQ2E1ttL5Giov9nn/GWdqYXZYhU5GnExwekHJrMVB87alu1xTNwzTXWsbqiBIHDbBnIeR2NqKBtTnmjUAC0CfbzQZDTjcGmD2OGIiglOP/ixuB4GkwUhviokRXF7Bk80flAgvL0UqGk2okDXJHY4JFFWq4B9hSwm6skUchkmd6zU3X3Ks3uMmeD0A/u8i8kJ3J7BU6mVClw/xDa5nDUqyFmOl+tR39IOP7USY7k9g8eaxgrqAJjg9Ivdji5jtqg82cXDVETOsKfQ9oVmWy7My7unsg9PHi5thL7Nc7dt4F+AkzW0mHC0YxyUXcaezf7zzzlXh7Z2bttAfY973READAj0xpBQbtvABMfJ9p+phVUAEsL9EKX1FjscElFCuB8iAzQwmq04yG0bqI+1miz4oageAHuLCY55OHs9uMeYCY6T7WGLijrIZDLHF48nX3TIObLP1cJksTpa7+TZHNcaD669xQTHiQRBcEzyYoJDAOvhkPPsddTaCoVMxsUMni4tPgQKuQznagworW8ROxxRMMFxouK6FpTWt8JLIUPqYFYUJWBSvC3BOVGhR02zUeRoSEr2cDEDXSRA44XkmI4K6h7aoGKC40T2C864gUHwVStFjoZcQZi/GomR/gDgqFdCdK2q9G04WdkEmezC3Asi+2qqPR56rWGC40SOFQ284NBFpnIeDvUx+zyLUdFaBPuqRI6GXIX9WrO/sAZWq+dVUGeC4yQWq4D9Z9hlTJeyt6r2FXLbBuobezk8RV0YGxsIP7US9S3tOF6uFzucfscEx0mOlDZA32aGv0aJ0QO0YodDLmRiXDBUCjnKG9twtsYgdjjk5gRBcPTgsLeYLualkDsqqHviaiomOE5in18xKT4ESlYUpYt4qxSYEBcEgMNUdO1OVTajqskIjZcc4wcFiR0OuZgp9no4hZ63bQO/eZ2EO/rS5UzhcnHqI/aW+XVxwdB4KUSOhlyN/TvoYFG9x1VQZ4LjBAajGYeKbRVF2WVMXZmaYLvoHDhbi3aLVeRoyJ3tZa0tuoz4MF9EaTUwma3IOedZFdSZ4DhBzrk6tFsExAR5Y1CIj9jhkAtKig5AoI8Xmo1mHC5pEDscclMmsxXZHV9aUxLYW0yXkslkFw1TeVaPMRMcJ9jDiqJ0BQq5DJPjPfOiQ33nUHE9WkwWhPqpHPWViH7KU4fEmeA4gX2CMZds0uVwXyq6VhcWM4RCLmdjirpmL/6YX6FHdZPnVFBngtPHOlUUjWeCQ92zdxv/WNKAprZ2kaMhd8TtGagnQv3USIoKAABHfTZP0C8Jzpo1axAXFweNRoPU1FTk5ORc9vjPPvsMiYmJ0Gg0GD16NL755ptOjwuCgFWrViEqKgre3t5IT0/H6dOnnfkWeuziiqJBrChKlxEb7IO4EB9YrAIOnPWsyX907Rpb2nGktAEAJxjTlXliBXWnJziffvopVqxYgeeffx6HDh1CcnIyMjIyUFVV1eXx+/fvxy9+8QssXrwYP/74I+bOnYu5c+fi2LFjjmNeffVVvPnmm1i7di2ys7Ph6+uLjIwMtLW1OfvtXBErilJvXBim8rwaFXRtss7WwCrYV8l4ix0OubjJF0009pQK6k5PcN544w0sWbIEixYtQlJSEtauXQsfHx+sX7++y+P/+te/Yvbs2XjyyScxYsQIvPjiixg/fjz+9re/AbD13vzlL3/Bs88+i9tvvx1jxozBBx98gPLycnz55ZfOfjuXdXFF0SlcHk49YP898dTN8Ojq8VpDvTFxcDBUSjkqGttwptozKqg7NcExmUzIzc1Fenr6hReUy5Geno6srKwun5OVldXpeADIyMhwHH/u3DnodLpOx2i1WqSmpnZ7zv5yuspWUVStlCOFFUWpB9LiQyGXAWerDShvaBU7HHIje1lMlHpB46XAdY4K6p7RY+zUBKempgYWiwURERGd7o+IiIBOp+vyOTqd7rLH2//tzTmNRiP0en2nmzPYJ/xNHMyKotQzWm8vjIkJBMDl4tRzJXUtKKptgUIuc+w1RHQl9lpJewtrRY6kf3jEKqrVq1dDq9U6brGxsU55nYlxwVg6bQjuHD/AKecnafLEyX90bezLw8fGBsJf4yVyNOQu7MOZnlJB3akJTmhoKBQKBSorKzvdX1lZicjIyC6fExkZednj7f/25pwrV65EY2Oj41ZSUnJV7+dKRsdo8btbRuCOcTFOOT9Jk/2is6+wBlarZ0z+o2uzh/Nv6CqMjA5AkAdVUHdqgqNSqZCSkoLMzEzHfVarFZmZmUhLS+vyOWlpaZ2OB4Bt27Y5jh88eDAiIyM7HaPX65Gdnd3tOdVqNQICAjrdiFzFuIFB8FEpUGswoUDXJHY45OKsVgH7OxIcLg+n3pDLZZiU4DlVjZ0+RLVixQqsW7cO77//PvLz8/Hwww/DYDBg0aJFAICFCxdi5cqVjuMfe+wxbNmyBX/+859RUFCA3//+9/jhhx+wbNkyALZ9NZYvX44//vGP2LRpE44ePYqFCxciOjoac+fOdfbbIepzKqUcqYNt8yj2FnrG5D+6esfL9ahvaYefWonk2ECxwyE3c3GPsdQpnf0C9957L6qrq7Fq1SrodDqMHTsWW7ZscUwSLi4uhlx+Ic+aNGkSPvroIzz77LP43e9+h6FDh+LLL7/EqFGjHMc89dRTMBgMWLp0KRoaGjBlyhRs2bIFGo3G2W+HyCmmDA3DjpPV2HO6BkunxYsdDrmwPR1J8PVDguGl8IhplNSHflpBXcpzuGSCp1T8uYher4dWq0VjYyOHq8glnKpswqz/txtqpRyHn5/FVXjUrV+uO4D9Z2rx+1uT8MDkwWKHQ25oxms7UFTbgnULJ+CmpIgrP8GF9Ob7m+k/kQsYGu6HcH81jGYrDp2vFzscclGtJgt+KLL9frD+DV0tT6mgzgSHyAXIZDJWNaYrOlhUB5PFiiitBvFhvmKHQ25qykXbNkgZExwiFzGF9XDoCi7enkEmk4kcDbkrewX1M9UGVDRKt4I6ExwiF2FvVR0rb0S9wSRyNOSK9nAzX+oDF1dQl/JycSY4RC4iPECDYRF+EARg3xnpXnTo6lQ3GZFfYdtmZjIL/NE18oTl4kxwiFyIfa8YKV906Ors70h6k6ICEOqnFjkacncXD4lLtYI6ExwiF2KvTLvndA08sIIDXQaHp6gvjb+ognq+zjkbUIuNCQ6RC5k4OBheChlK61txvrZF7HDIRQiC4Jh8zv2nqC90qqAu0Xk4THCIXIivWolxA4MAcLk4XXCmuhk6fRtUSjkmdnwpEV2rqR21lKS6XJwJDpGLmeYhRbio5+zDU9fFBbHKNfUZ+5B4zrk6tLVbRI6m7zHBIXIx9gq1+8/UwmyxihwNuYJ9jvo3rF5MfSch3A8RAbYK6geL6sQOp88xwSFyMaMHaKH19kJTmxmHSxvFDodE1m6x4sBZ25fPVE4wpj5kq6DeMUwlwXk4THCIXIxCLsPkhBAA0rzoUO/klTSg2WhGsK8KSVHcHJj61sUrN6WGCQ6RC3K0qgo5D8fT2b94JsWHQC7n9gzUt+xFI09U6FHTbBQ5mr7FBIfIBdlbVYeKG9DU1i5yNCQm+2RzLg8nZwjzV2NER8+g1AqMMsEhckGxwT6IC/GBxSo45l+Q52lsbUdeSQMAYOowTjAm55DqMBUTHCIXNYXLxT1e1pkaWAUgPswXAwK9xQ6HJMreO7hXYhXUmeAQuSh7ES6ptaqo53Z3/OztvwtEzjBxcDBUSjl0+jacqW4WO5w+wwSHyEWlxYdAIZfhbI0BZQ2tYodDItjrSHA4/4acR+OlwMQ4W4VsKTWomOAQuagAjReSY7QAOEzlic7XGlBc1wIvhQzXDwkROxySuCkSnIfDBIfIhdmHJnZL6KJDPWP/mY8bGARftVLkaEjq7PNwDpythcksjQrqTHCIXJh9aGJfYQ0sVulM/qMrs/faTePwFPWDpKgAhPiq0GKy4MfierHD6RNMcIhcWHJsIPzVSjS0tON4Obdt8BRmixX7C2sBcIIx9Q+5XOYo+ieVYSomOEQuzEshx/XxtvkXUrno0JUdLm1Ak9GMQB8vjBqgFTsc8hAX6uFIY84fExwiFzd16IUaFeQZ7Mns5PhQKLg9A/UTe2/hkbJG1BlMIkdz7ZjgELk4+0Xnh/N1aDGZRY6G+sMeLg8nEURqNRge4Q9BkMa2DUxwiFxcXIgPYoK80W4RcOBsrdjhkJNdvD3DFCY41M+kNEzFBIfIxclkMkzr2Ido9yn3b1XR5WWdqYXFKmBIqC9ignzEDoc8zMXXGnfftoEJDpEbmOaoh+P+rSq6vL2Ftp8xh6dIDBMHB0PdsW1DYZV7b9vABIfIDUxK6Ni2odqA0voWscMhJ9rD/adIRBovBSYOtm3bsOuUezeomOAQuYEAjRfGxQYC4DCVlBXXtuB8bQuUcpmjPABRf5smkY1+nZrg1NXVYf78+QgICEBgYCAWL16M5ubuu7zq6urw61//GsOHD4e3tzcGDhyI3/zmN2hs7FzgTCaTXXL75JNPnPlWiER3YWzcvVtV1L1dHUOQ4wcFwY/bM5BIpg6zDY9mn6tFW7tF5GiunlMTnPnz5+P48ePYtm0bNm/ejN27d2Pp0qXdHl9eXo7y8nK8/vrrOHbsGDZs2IAtW7Zg8eLFlxz7z3/+ExUVFY7b3LlznfhOiMRnT3D2namB2SKNvWKos10nbQnO9GEcniLxDI/wR7i/Gm3tVvxQ5L7bNjitiZCfn48tW7bg4MGDmDBhAgDgrbfewi233ILXX38d0dHRlzxn1KhR+Pzzzx3/j4+Px0svvYQFCxbAbDZDqbwQbmBgICIjI50VPpHLGT1Ai0AfLzS0tONwaQNSBgWLHRL1IZPZiqwztiEBJjgkJplMhqlDw/D5oVLsOV3ttuUKnNaDk5WVhcDAQEdyAwDp6emQy+XIzs7u8XkaGxsREBDQKbkBgEcffRShoaGYOHEi1q9f7/bL2YiuRHHRXjG7OA9HcnLP18NgsiDEV4WkqACxwyEPN61jmGq3G8/DcVqCo9PpEB4e3uk+pVKJ4OBg6HS6Hp2jpqYGL7744iXDWi+88AL+/e9/Y9u2bbjrrrvwyCOP4K233ur2PEajEXq9vtONyB1NH8p5OFJlLwEwbVgY5NyegUQ2paMxlV+hR1VTm8jRXJ1eJzjPPPNMl5N8L74VFBRcc2B6vR5z5sxBUlISfv/733d67LnnnsPkyZMxbtw4PP3003jqqafw2muvdXuu1atXQ6vVOm6xsbHXHB+RGOyT/46UNqChxf33iqEL7EmrveVMJKYQPzVGDbD1JLrrPni9TnCeeOIJ5OfnX/Y2ZMgQREZGoqqqqtNzzWYz6urqrjh3pqmpCbNnz4a/vz82btwILy+vyx6fmpqK0tJSGI3GLh9fuXIlGhsbHbeSkpLevWkiFxGl9cbQcD9YBWCvBPaKIZvqJiOOl9t6lln/hlzFNDfvMe71JOOwsDCEhV35DzAtLQ0NDQ3Izc1FSkoKAGD79u2wWq1ITU3t9nl6vR4ZGRlQq9XYtGkTNBrNFV8rLy8PQUFBUKvVXT6uVqu7fYzI3UwbFobTVc3Yc6oGPxtz6WR9cj/2fX9GDQhAqB+vVeQapg4Nw993nsGe0zWwWgW3Gzp12hycESNGYPbs2ViyZAlycnKwb98+LFu2DPPmzXOsoCorK0NiYiJycnIA2JKbWbNmwWAw4L333oNer4dOp4NOp4PFYluL/9VXX+Hdd9/FsWPHUFhYiLfffhsvv/wyfv3rXzvrrRC5FEc9nNPVnFwvEY7hKfbekAtJGRQEX5UCtQaTo4fRnTi1ktSHH36IZcuWYebMmZDL5bjrrrvw5ptvOh5vb2/HyZMn0dJiKz1/6NAhxwqrhISETuc6d+4c4uLi4OXlhTVr1uDxxx+HIAhISEjAG2+8gSVLljjzrRC5jNTBwVAp5ahotO0VMzTCX+yQ6BpYrYJjpQqXh5MrUSnlmJQQim0nKrHrVBVGx2jFDqlXnJrgBAcH46OPPur28bi4uE4t0BkzZlyxRTp79mzMnj27z2IkcjcaLwVSBwdjz+ka7DpVzQTHzR0v16POYIKfWonxg4LEDoeokxnDwzoSnGosu3Go2OH0CveiInJD9pa+u2+GR8CuU7bFGJPiQ+Cl4CWZXIv9WnOouAGNre0iR9M7/GsickP2i072uTq0mtx3rxi6sHnqNA5PkQuKCfJBQrgfLFYB+9xs5SYTHCI3lBDuhwGB3rby/mfd66JDF+jb2nGo2LbXD+ffkKuy/27uPFl1hSNdCxMcIjckk8kwfbj9osNhKne1v7AWZquAIaG+iA32ETscoi7NGH5hSNydVm4ywSFyUzOGXUhw3OmiQxdcvD0Dkau6Li4YGi85KvVGFOiaxA6nx5jgELmpSQmh8FLIUFzXgnM1BrHDoV4SBAG7OnrfODxFrkzjpUDakBAA7rWwgQkOkZvyUytxXVwwAA5TuaPTVc0oa2iFWinH9R1fHkSuasZw2+bZu9zoWsMEh8iN2cfGd7pRq4psdhTYJmymxYfAW6UQORqiy7P3Mv5wvg7NRrPI0fQMExwiN2ZvVR04W8vl4m5mR8eKlBs6foZEriwu1BdxIT5otwjY7ybLxZngELmxoeF+iNZqYDJbceBsrdjhUA81tbXjhyLb8nB7LxyRq3MsF3eTHmMmOERuzLZc3NYD4G41KjzZvsIax/LwQSG+YodD1CMXz8Nxh5WbTHCI3Bzn4bifHQW2n9UMDk+RG7l+SAhUSjnKGlpxprpZ7HCuiAkOkZub3LFc/Hwtl4u7A0EQLsy/SeTwFLkPb5Vto1/APVZuMsEhcnN+aiUmDLJfdDhM5epOVOhR1WSEt5cCEzu+LIjchb3XcXuB619rmOAQScAMbtvgNuw/o8kJIVAruTyc3MvMRFuCk3OuDk1trr27OBMcIgm4eLl4WzuXi7syey8b59+QO4oL9cWQUF+YrQL2nnbt5eJMcIgkYFiEbbm40WxF1hkuF3dVjS3tyD3P5eHk3m7o6MXJdPFhKiY4RBIgk8lw4wjbRef7/EqRo6Hu7D5dDatgq18UE8Tdw8k92Yepdp6sgtXqusvFmeAQScTMxAgAtsl/7lCjwhNdWD3F4SlyXxPiguGnVqKm2YQjZY1ih9MtJjhEEpEWHwKNlxwVjW3Ir2gSOxz6Cav1wu7hHJ4id6ZSyjFtWCgA115NxQSHSCI0XgpMSbBfdDhM5WqOljWi1mDqtKyfyF3d4Fgu7rrXGiY4RBIyc4RtmMrVJ/95osyOuVFTEkKhUvLSS+7NvgrwWJkeVfo2kaPpGv/KiCTE3qrKK2lATbNR5GjoYt/n25LO9KQIkSMhunZh/mokxwYCuDC3zNUwwSGSkEitBqMGBEAQWPTPlZQ1tOJEhR4yGXAD59+QRNzY0aDKzGeCQ0T94EbHairXHRv3NNs7hqdSBgYhxE8tcjREfWNmR2mKvYU1MJpdr8AoExwiibHXqNh9qgYms1XkaAi4MDxlnyNFJAUjowMQ7q9Gi8mC7LN1YodzCSY4RBIzeoAWoX5qNBvNyDnnehcdT2Mwmh3VpdNHsP4NSYdMJrtoNZXrDVMxwSGSGLlchhsTbfM8MjlMJbo9p6thslgxKMQHCeF+YodD1KfsFdRdscAoExwiCbLPw8nMd72LjqdxDE8lRkAmk4kcDVHfmpIQCpVCjuK6FhRWNYsdTidMcIgkaMrQCxedM9UGscPxWBargB0dXfccniIp8lUrMSkhBACw9YRr9RgzwSGSID+1EqlDbNVyuZpKPHklDag1mOCvUeK6waxeTNI0KykSgIclOHV1dZg/fz4CAgIQGBiIxYsXo7n58l1YM2bMgEwm63T71a9+1emY4uJizJkzBz4+PggPD8eTTz4Js9nszLdC5HbSO1bsbHOxi44nse/sPmN4OLwUbE+SNNl7Jw+XNKDShaoaO/Uvbv78+Th+/Di2bduGzZs3Y/fu3Vi6dOkVn7dkyRJUVFQ4bq+++qrjMYvFgjlz5sBkMmH//v14//33sWHDBqxatcqZb4XI7dgr5v5wvp5VjUVi356Bw1MkZeEBGoztqGrsSg0qpyU4+fn52LJlC959912kpqZiypQpeOutt/DJJ5+gvLz8ss/18fFBZGSk4xYQEOB4bOvWrThx4gT+9a9/YezYsbj55pvx4osvYs2aNTCZTM56O0RuZ0CgN0YP0EIQLnzRUv8pqWvBqcpmKOQyzBjGBIekbdZI1+sxdlqCk5WVhcDAQEyYMMFxX3p6OuRyObKzsy/73A8//BChoaEYNWoUVq5ciZaWlk7nHT16NCIiLhTMysjIgF6vx/Hjx/v+jRC5sVkdvThbj7vORcdT2IenrosLgtbHS+RoiJzLfq3JOlOLprZ2kaOxUTrrxDqdDuHhnVstSqUSwcHB0Ol03T7vl7/8JQYNGoTo6GgcOXIETz/9NE6ePIkvvvjCcd6LkxsAjv93d16j0Qij8UIXvV6vv6r3RORuZo2MxJ+3ncKewho0G83wUzvtT55+4nvH8BSrF5P0xYf5YUioL87WGLDrVDV+NiZa7JB634PzzDPPXDIJ+Ke3goKCqw5o6dKlyMjIwOjRozF//nx88MEH2LhxI86cOXPV51y9ejW0Wq3jFhsbe9XnInInwyL8EBfiA5PZit2nuPlmf2loMeFAR+n6m7h7OHkAmUzm+F13lWGqXic4TzzxBPLz8y97GzJkCCIjI1FV1bl0s9lsRl1dHSIjI3v8eqmpqQCAwsJCAEBkZCQqKzt/ePb/d3felStXorGx0XErKSnp8esTuTOZTIZZI21/F98d777nlPrW9/lVsFgFJEb6Y1CIr9jhEPUL+zyc7QVVaLeIvw9er/urw8LCEBYWdsXj0tLS0NDQgNzcXKSkpAAAtm/fDqvV6khaeiIvLw8AEBUV5TjvSy+9hKqqKscQ2LZt2xAQEICkpKQuz6FWq6FWcwdf8kyzkiLwzu6z2F5QBZPZCpWSy5WdbcsxWzI5e1TPG3NE7m5sbBBC/VSoaTYh+2wdpgwNFTUep13pRowYgdmzZ2PJkiXIycnBvn37sGzZMsybNw/R0baxubKyMiQmJiInJwcAcObMGbz44ovIzc1FUVERNm3ahIULF2LatGkYM2YMAGDWrFlISkrCfffdh8OHD+O7777Ds88+i0cffZRJDFEXxg0MQqifGk1tZmSfqxU7HMkzGM3Yfdo2HMgEhzyJQi7DzET7MJX4PcZObcp9+OGHSExMxMyZM3HLLbdgypQpeOeddxyPt7e34+TJk45VUiqVCt9//z1mzZqFxMREPPHEE7jrrrvw1VdfOZ6jUCiwefNmKBQKpKWlYcGCBVi4cCFeeOEFZ74VIrelkMtwU5Ktt5PDVM6382Q1TGYr4kJ8MDzCX+xwiPrVxcvFxd4Hz6lLKoKDg/HRRx91+3hcXFynDyA2Nha7du264nkHDRqEb775pk9iJPIEs5Ii8XFOCbadqMQLt42CXM5NH51lS0cSmTEqkptrkseZnBAKby8FyhvbcLxcj1EDtKLFwsF4Ig8wKSEEvioFKvVGHC5tEDscyWprt2B7x/Lw2SM5PEWeR+OlwPRhtnm6Yu9NxQSHyAOolQrMSLQNU4l90ZGy/WdqYDBZEBmgQXJMoNjhEInipqQIKOQy1Iq8RQwTHCIPcaGqMefhOMt3x2zJY8bICA4Dkse6eXQkcp9Nx0t3jBY1DiY4RB7ihsRweClkOFNtQGFVk9jhSI7ZYsW2juGpDK6eIg/mo1Ii0EcldhhMcIg8RYDGC5MTbHUpvj7CXpy+drCoHnUGE4J8vDAxLljscIg8HhMcIg8yZ7StYObXR8tFjkR67Evw00dEQKngpZVIbPwrJPIgs5Ii4aWQ4VRlM05Vcpiqr1itAqsXE7kYJjhEHkTr44WpQ21LOL8+UiFyNNJxpKwROn0bfFUKxzAgEYmLCQ6Rh7kwTFUheqVRqdh82Dbkd+OICGi8FCJHQ0QAExwij5OeFAGVQo7CqmacqmwWOxy3Z7UK2NzRG3brmCiRoyEiOyY4RB5G6+2FacPsq6k42fha/XC+Hjp9G/w1SkwfHiZ2OETUgQkOkQf62ZhoAMBmDlNds686hqcyRkZCreTwFJGrYIJD5IFmjgiHSinH2WoDCnRcTXW1zBYrvjnaMTyVHC1yNER0MSY4RB7IX+OFGcO4mupa7T9Ti1qDCcG+KkyKDxE7HCK6CBMcIg81ZwxXU10r+/DULaMj4cXifkQuhX+RRB5q5ogIqJVynKsx4ESFXuxw3I7RbMGWjurFt47h8BSRq2GCQ+Sh/NRK3DA8HACHqa7G7lM1aGozIyJAjeu49xSRy2GCQ+TB7MNU/80rh9XKYaresA9P/WxMNORymcjRENFPMcEh8mDpIyLgp1airKEVB4vqxA7HbbSYzNh2ohIAV08RuSomOEQezFulwC2jbZtDfnGoTORo3EdmfhVa2y0YGOyD5Bit2OEQUReY4BB5uDvGxQAAvjlagbZ2i8jRuAf78NStyVGQyTg8ReSKmOAQebjUwcEYEOiNJuOFYRfqXr3BhB0nqwBweIrIlTHBIfJwcrkMd4wbAAD44lCpyNG4vk2Hy9FuETAyOgCJkQFih0NE3WCCQ0S4Y7wtwdl9ugbVTUaRo3Ftn+WWAADuTokRORIiuhwmOESE+DA/JMcGwmIVsOkwdxjvTn6FHsfK9PBSyHD72AFih0NEl8EEh4gAAHeN5zDVlfwn1/bZzEyMQLCvSuRoiOhymOAQEQBbwTqlXIbj5Xqc5A7jl2i3WPHlj7al9PdM4PAUkatjgkNEAIBgXxVuSLRt3fDFj+zF+akdBVWoNZgQ6qfGtI6d2InIdTHBISIH+zDVlz+WwcKtGzqxD0/dMS6aO4cTuQH+lRKRww2J4dB6e6FSb8S+whqxw3EZNc1GbC+w1b65OyVW5GiIqCeY4BCRg1qpwNyxtuJ1H2UXixyN6/hvXjnMVgFjYrQYHukvdjhE1ANOTXDq6uowf/58BAQEIDAwEIsXL0Zzc3O3xxcVFUEmk3V5++yzzxzHdfX4J5984sy3QuQxfpk6CACwLb8Slfo2kaMRnyAI+OwHW+2be1j7hshtODXBmT9/Po4fP45t27Zh8+bN2L17N5YuXdrt8bGxsaioqOh0+8Mf/gA/Pz/cfPPNnY795z//2em4uXPnOvOtEHmM4ZH+mDAoCBargH8fLBE7HNEdL9ejQNcElULOrRmI3IjSWSfOz8/Hli1bcPDgQUyYMAEA8NZbb+GWW27B66+/jujoSy8UCoUCkZGRne7buHEjfv7zn8PPz6/T/YGBgZccS0R9Y/71A/HD+Xp8nFOMR25IgELuuRtKfpxjG6q7aWQEAn1Y+4bIXTitBycrKwuBgYGO5AYA0tPTIZfLkZ2d3aNz5ObmIi8vD4sXL77ksUcffRShoaGYOHEi1q9fD0Hgig+ivnLzqCgE+nihvLENOzs2lvREja3t+OKQrfbNgo6hOyJyD07rwdHpdAgPD+/8YkolgoODodPpenSO9957DyNGjMCkSZM63f/CCy/gxhtvhI+PD7Zu3YpHHnkEzc3N+M1vftPleYxGI4zGC/vr6PX6Xr4bIs+i8VLgnpQYrNtzDh9mF2PmiAixQxLF57mlaG23YFiEH64fEix2OETUC73uwXnmmWe6nQhsvxUUFFxzYK2trfjoo4+67L157rnnMHnyZIwbNw5PP/00nnrqKbz22mvdnmv16tXQarWOW2wsl3kSXckvJg4EAOw4WYXS+haRo+l/VquAfx04DwC4Ly0OMpnnDtMRuaNeJzhPPPEE8vPzL3sbMmQIIiMjUVXVuWvbbDajrq6uR3Nn/vOf/6ClpQULFy684rGpqakoLS3t1EtzsZUrV6KxsdFxKynhxEmiKxkS5ofJCSEQBOCTHM/7m9lbWIOzNQb4q5W4cxw31iRyN70eogoLC0NY2JXLlKelpaGhoQG5ublISUkBAGzfvh1WqxWpqalXfP57772H2267rUevlZeXh6CgIKjV6i4fV6vV3T5GRN2bnzoI+wpr8cnBEjyWPtSjKvh+kFUEALgrJQa+aqeN5hORkzjtajVixAjMnj0bS5YsQU5ODvbt24dly5Zh3rx5jhVUZWVlSExMRE5OTqfnFhYWYvfu3XjooYcuOe9XX32Fd999F8eOHUNhYSHefvttvPzyy/j1r3/trLdC5LFuSopAmL8aNc1GbDtRKXY4/aakrgWZHZWL70vj5GIid+TU5tiHH36IxMREzJw5E7fccgumTJmCd955x/F4e3s7Tp48iZaWzuP769evR0xMDGbNmnXJOb28vLBmzRqkpaVh7Nix+Mc//oE33ngDzz//vDPfCpFH8lLI8fOOnbPt81E8wb+yz0MQgKlDQxEf5nflJxCRy5EJHri+Wq/XQ6vVorGxEQEBAWKHQ+TSSutbMP21nbBYBWz+9RSMGqAVOySnamu34PrVmWhoace6hRNwU5JnriAjckW9+f72nAF1IroqMUE+mDM6CgDwzu6zIkfjfJsOl6OhpR0DAr1xY2L4lZ9ARC6JCQ4RXdHSaUMAAF8frUBJnXSXjAuC4JhcvOD6QR5dwZnI3THBIaIrGjVAi6lDQ2GxCnhv7zmxw3Ga/WdqcaxMD7VSjnuvY70sInfGBIeIeuR/psUDAD45WIw6g0nkaJzjre2nAdiKHAb7ct8pInfGBIeIemRyQghGRgegrd2K/8uS3oqqH4rqcOBsHbwUMseQHBG5LyY4RNQjMpkM/zPd1ovzflYRWk0WkSPqW3/bUQgAuGt8DKIDvUWOhoiuFRMcIuqxW0ZFIibIG3UGE/6TK53tG46VNWLnyWrIZcDDM+LFDoeI+gATHCLqMaVCjiVTbcM36/acg9liFTmivrGmo/fmtuRoDArxFTkaIuoLTHCIqFfumRCDIB8vFNe14OujFWKHc81OVzbh22M6AMAjNySIHA0R9RUmOETUKz4qJRZNHgwAeGPbKZjM7t2L8/edZwAAs0dGYliEv8jREFFfYYJDRL22eMpghPqpcL62BZ8cLBY7nKt2vtaATYfLAQCPsveGSFKY4BBRr/mqlXhs5lAAwJuZp9FsNIsc0dX56/enYbEKmDE8DKNjpL3HFpGnYYJDRFdl3sSBiAvxQU2zCe/ucb89qg6XNOCLH8sAACtuGiZyNETU15jgENFV8VLI8WRGIgBg3e6zqG4yihxRzwmCgBc2nwBgq3szJiZQ3ICIqM8xwSGiq3bL6Egkx2hhMFkc2xy4g81HKpB7vh7eXgo8NXu42OEQkRMwwSGiqyaTyfD0zbZenI+yi1FUYxA5oitra7fgT98WAAAemRGPiACNyBERkTMwwSGiazIpPhQzhofBbBXw2taTYodzRe/uOYuyhlZEazVYwj2niCSLCQ4RXbOnZydCJgO+PlKBnSerxA6nW5X6Nkfdm2duGQGNl0LkiIjIWZjgENE1GxEVgAcmxQEAVn5xFE1t7eIG1I1Xt5xEi8mC8QMDceuYKLHDISInYoJDRH3iyYzhGBjsg4rGNqzumOPiSvYV1uDzQ6UAgFW3joRMJhM5IiJyJiY4RNQnfFRKvHLXGAC2Ccf7C2tEjuiCeoMJT/z7MABgfupAjI0NFDcgInI6JjhE1GfS4kOw4PqBAICnPj8CgwtUOBYEAb/beBQ6fRuGhPni2TlJYodERP2ACQ4R9alnbh6BAYHeKK1vxWvfib+q6rPcUnx7TAelXIa/3jsO3ipOLCbyBExwiKhP+amV+NNdowEAG/YXYf8Z8YaqimoM+P2m4wCAJ2YN535TRB6ECQ4R9bmpQ8Mw77pYAMCjHx4SpQBgu8WK5Z/mocVkQergYCxlzRsij8IEh4ic4vlbRyI5Rov6lnY8uOEgGlpM/fr6r24pQF5JA/w1Srxx71go5Fw1ReRJmOAQkVN4qxRYd/8EDAj0xtkaA5b+Xy6MZku/vPaaHYVYt+ccAGD1naMxINC7X16XiFwHExwicppwfw3WP3Ad/NVK5Jyrw8rPj0IQBKe+5oZ95xyTm393SyJ+Nibaqa9HRK6JCQ4ROdXwSH+smT8eCrkMX/xYhr9mOm/X8c9+KMHvvzoBAPjNzKFYOi3eaa9FRK6NCQ4ROd20YWF44faRAIC/fH8az355FCaztU9f4+sjFXj68yMAgAcnD8bj6UP79PxE5F6Y4BBRv5ifOsixKee/DhRj/rsHUN1kvObzmi1W/G37aTz2yY+wCsC9E2Lx3M9GcCsGIg/ntATnpZdewqRJk+Dj44PAwMAePUcQBKxatQpRUVHw9vZGeno6Tp/u3J1dV1eH+fPnIyAgAIGBgVi8eDGam5ud8A6IqK89PCMe790/Af5qJQ4W1ePWt/bicEnDVZ+vqMaAe/6Rhde3noLZKuDO8QPw8p2jmdwQkfMSHJPJhHvuuQcPP/xwj5/z6quv4s0338TatWuRnZ0NX19fZGRkoK2tzXHM/Pnzcfz4cWzbtg2bN2/G7t27sXTpUme8BSJyghsTI/DlssmID/OFTt+Ge/6RhTe2nkRVU9uVn9xBEAT868B53PzXPfixuAH+aiXe+Hky/nxPMpeDExEAQCY4eUnDhg0bsHz5cjQ0NFz2OEEQEB0djSeeeAK//e1vAQCNjY2IiIjAhg0bMG/ePOTn5yMpKQkHDx7EhAkTAABbtmzBLbfcgtLSUkRH92y1hF6vh1arRWNjIwICAq7p/RHR1Wlqa8fjnx7G9/mVAAAvhQw/GxONRZPjMCYm8JLjBUHAiQo9vjumw5bjOpyqtPXcpg0Jwes/T+ZScCIP0Jvvb2U/xXRF586dg06nQ3p6uuM+rVaL1NRUZGVlYd68ecjKykJgYKAjuQGA9PR0yOVyZGdn44477hAjdCK6Cv4aL7xzXwq+PabD+n3nkHu+Hht/LMPGH8sQH+aLED81AjRK+KmVUCnl2H+mFqX1rY7nq5VyPDU7EYsmxUHOXhsi+gmXSXB0Oh0AICIiotP9ERERjsd0Oh3Cw8M7Pa5UKhEcHOw4pitGoxFG44XJjHq9vq/CJqJrIJfLMGdMFOaMicKR0gZs2FeEr46U40y1AWeqL93eQeMlx/RhYcgYGYmZiRHQ+niJEDURuYNeJTjPPPMMXnnllcsek5+fj8TExGsKqq+tXr0af/jDH8QOg4guY0xMIN64dyxW3jICx8sb0Ww0o6nNjKa2dhiMFoyI8sf0YeHcDZyIeqRXCc4TTzyBBx544LLHDBlydRvaRUZGAgAqKysRFRXluL+yshJjx451HFNVVdXpeWazGXV1dY7nd2XlypVYsWKF4/96vR6xsbFXFScROVeYvxozhodf+UAiosvoVYITFhaGsLAwpwQyePBgREZGIjMz05HQ6PV6ZGdnO1ZipaWloaGhAbm5uUhJSQEAbN++HVarFampqd2eW61WQ61WOyVuIiIicj1OWyZeXFyMvLw8FBcXw2KxIC8vD3l5eZ1q1iQmJmLjxo0AAJlMhuXLl+OPf/wjNm3ahKNHj2LhwoWIjo7G3LlzAQAjRozA7NmzsWTJEuTk5GDfvn1YtmwZ5s2b1+MVVERERCR9TptkvGrVKrz//vuO/48bNw4AsGPHDsyYMQMAcPLkSTQ2NjqOeeqpp2AwGLB06VI0NDRgypQp2LJlCzQajeOYDz/8EMuWLcPMmTMhl8tx11134c0333TW2yAiIiI35PQ6OK6IdXCIiIjcT2++v7kXFREREUkOExwiIiKSHCY4REREJDlMcIiIiEhymOAQERGR5DDBISIiIslhgkNERESSwwSHiIiIJIcJDhEREUmO07ZqcGX24s16vV7kSIiIiKin7N/bPdmEwSMTnKamJgBAbGysyJEQERFRbzU1NUGr1V72GI/ci8pqtaK8vBz+/v6QyWR9em69Xo/Y2FiUlJRwnysn4ufcP/g59w9+zv2Dn3P/cdZnLQgCmpqaEB0dDbn88rNsPLIHRy6XIyYmxqmvERAQwD+gfsDPuX/wc+4f/Jz7Bz/n/uOMz/pKPTd2nGRMREREksMEh4iIiCSHCU4fU6vVeP7556FWq8UORdL4OfcPfs79g59z/+Dn3H9c4bP2yEnGREREJG3swSEiIiLJYYJDREREksMEh4iIiCSHCQ4RERFJDhOcPrRmzRrExcVBo9EgNTUVOTk5YockKatXr8Z1110Hf39/hIeHY+7cuTh58qTYYUnen/70J8hkMixfvlzsUCSprKwMCxYsQEhICLy9vTF69Gj88MMPYoclKRaLBc899xwGDx4Mb29vxMfH48UXX+zRfkbUvd27d+PWW29FdHQ0ZDIZvvzyy06PC4KAVatWISoqCt7e3khPT8fp06f7LT4mOH3k008/xYoVK/D888/j0KFDSE5ORkZGBqqqqsQOTTJ27dqFRx99FAcOHMC2bdvQ3t6OWbNmwWAwiB2aZB08eBD/+Mc/MGbMGLFDkaT6+npMnjwZXl5e+Pbbb3HixAn8+c9/RlBQkNihScorr7yCt99+G3/729+Qn5+PV155Ba+++ireeustsUNzawaDAcnJyVizZk2Xj7/66qt48803sXbtWmRnZ8PX1xcZGRloa2vrnwAF6hMTJ04UHn30Ucf/LRaLEB0dLaxevVrEqKStqqpKACDs2rVL7FAkqampSRg6dKiwbds2Yfr06cJjjz0mdkiS8/TTTwtTpkwROwzJmzNnjvDggw92uu/OO+8U5s+fL1JE0gNA2Lhxo+P/VqtViIyMFF577TXHfQ0NDYJarRY+/vjjfomJPTh9wGQyITc3F+np6Y775HI50tPTkZWVJWJk0tbY2AgACA4OFjkSaXr00UcxZ86cTr/X1Lc2bdqECRMm4J577kF4eDjGjRuHdevWiR2W5EyaNAmZmZk4deoUAODw4cPYu3cvbr75ZpEjk65z585Bp9N1un5otVqkpqb22/eiR2622ddqampgsVgQERHR6f6IiAgUFBSIFJW0Wa1WLF++HJMnT8aoUaPEDkdyPvnkExw6dAgHDx4UOxRJO3v2LN5++22sWLECv/vd73Dw4EH85je/gUqlwv333y92eJLxzDPPQK/XIzExEQqFAhaLBS+99BLmz58vdmiSpdPpAKDL70X7Y87GBIfc0qOPPopjx45h7969YociOSUlJXjsscewbds2aDQascORNKvVigkTJuDll18GAIwbNw7Hjh3D2rVrmeD0oX//+9/48MMP8dFHH2HkyJHIy8vD8uXLER0dzc9ZwjhE1QdCQ0OhUChQWVnZ6f7KykpERkaKFJV0LVu2DJs3b8aOHTsQExMjdjiSk5ubi6qqKowfPx5KpRJKpRK7du3Cm2++CaVSCYvFInaIkhEVFYWkpKRO940YMQLFxcUiRSRNTz75JJ555hnMmzcPo0ePxn333YfHH38cq1evFjs0ybJ/94n5vcgEpw+oVCqkpKQgMzPTcZ/VakVmZibS0tJEjExaBEHAsmXLsHHjRmzfvh2DBw8WOyRJmjlzJo4ePYq8vDzHbcKECZg/fz7y8vKgUCjEDlEyJk+efEmpg1OnTmHQoEEiRSRNLS0tkMs7f90pFApYrVaRIpK+wYMHIzIystP3ol6vR3Z2dr99L3KIqo+sWLEC999/PyZMmICJEyfiL3/5CwwGAxYtWiR2aJLx6KOP4qOPPsJ///tf+Pv7O8ZxtVotvL29RY5OOvz9/S+Z1+Tr64uQkBDOd+pjjz/+OCZNmoSXX34ZP//5z5GTk4N33nkH77zzjtihScqtt96Kl156CQMHDsTIkSPx448/4o033sCDDz4odmhurbm5GYWFhY7/nzt3Dnl5eQgODsbAgQOxfPly/PGPf8TQoUMxePBgPPfcc4iOjsbcuXP7J8B+WavlId566y1h4MCBgkqlEiZOnCgcOHBA7JAkBUCXt3/+859ihyZ5XCbuPF999ZUwatQoQa1WC4mJicI777wjdkiSo9frhccee0wYOHCgoNFohCFDhgj/+7//KxiNRrFDc2s7duzo8pp8//33C4JgWyr+3HPPCREREYJarRZmzpwpnDx5st/ikwkCSzkSERGRtHAODhEREUkOExwiIiKSHCY4REREJDlMcIiIiEhymOAQERGR5DDBISIiIslhgkNERESSwwSHiIiIJIcJDhEREUkOExwiIiKSHCY4REREJDlMcIiIiEhy/j9FSaxwZptm6wAAAABJRU5ErkJggg==",
|
| 24 |
+
"text/plain": [
|
| 25 |
+
"<Figure size 640x480 with 1 Axes>"
|
| 26 |
+
]
|
| 27 |
+
},
|
| 28 |
+
"metadata": {},
|
| 29 |
+
"output_type": "display_data"
|
| 30 |
+
}
|
| 31 |
+
],
|
| 32 |
+
"source": [
|
| 33 |
+
"import matplotlib.pyplot as plt\n",
|
| 34 |
+
"plt.plot(x, y)\n",
|
| 35 |
+
"plt.show()"
|
| 36 |
+
]
|
| 37 |
+
}
|
| 38 |
+
],
|
| 39 |
+
"metadata": {
|
| 40 |
+
"kernelspec": {
|
| 41 |
+
"display_name": "Python 3 (ipykernel)",
|
| 42 |
+
"language": "python",
|
| 43 |
+
"name": "python3"
|
| 44 |
+
},
|
| 45 |
+
"language_info": {
|
| 46 |
+
"codemirror_mode": {
|
| 47 |
+
"name": "ipython",
|
| 48 |
+
"version": 3
|
| 49 |
+
},
|
| 50 |
+
"file_extension": ".py",
|
| 51 |
+
"mimetype": "text/x-python",
|
| 52 |
+
"name": "python",
|
| 53 |
+
"nbconvert_exporter": "python",
|
| 54 |
+
"pygments_lexer": "ipython3",
|
| 55 |
+
"version": "3.10.12"
|
| 56 |
+
},
|
| 57 |
+
"varInspector": {
|
| 58 |
+
"cols": {
|
| 59 |
+
"lenName": 16,
|
| 60 |
+
"lenType": 16,
|
| 61 |
+
"lenVar": 40
|
| 62 |
+
},
|
| 63 |
+
"kernels_config": {
|
| 64 |
+
"python": {
|
| 65 |
+
"delete_cmd_postfix": "",
|
| 66 |
+
"delete_cmd_prefix": "del ",
|
| 67 |
+
"library": "var_list.py",
|
| 68 |
+
"varRefreshCmd": "print(var_dic_list())"
|
| 69 |
+
},
|
| 70 |
+
"r": {
|
| 71 |
+
"delete_cmd_postfix": ") ",
|
| 72 |
+
"delete_cmd_prefix": "rm(",
|
| 73 |
+
"library": "var_list.r",
|
| 74 |
+
"varRefreshCmd": "cat(var_dic_list()) "
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"types_to_exclude": [
|
| 78 |
+
"module",
|
| 79 |
+
"function",
|
| 80 |
+
"builtin_function_or_method",
|
| 81 |
+
"instance",
|
| 82 |
+
"_Feature"
|
| 83 |
+
],
|
| 84 |
+
"window_display": false
|
| 85 |
+
}
|
| 86 |
+
},
|
| 87 |
+
"nbformat": 4,
|
| 88 |
+
"nbformat_minor": 5
|
| 89 |
+
}
|
main.sync.py
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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| 1 |
+
# ---
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| 2 |
+
# jupyter:
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| 3 |
+
# jupytext:
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| 4 |
+
# text_representation:
|
| 5 |
+
# extension: .py
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| 6 |
+
# format_name: percent
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| 7 |
+
# format_version: '1.3'
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| 8 |
+
# jupytext_version: 1.3.4
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| 9 |
+
# kernelspec:
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| 10 |
+
# display_name: Python 3
|
| 11 |
+
# language: python
|
| 12 |
+
# name: python3
|
| 13 |
+
# ---
|
| 14 |
+
|
| 15 |
+
# %%
|
| 16 |
+
import numpy as np
|
| 17 |
+
x = np.linspace(0, 10, 100)
|
| 18 |
+
y = np.sin(x)
|
| 19 |
+
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| 20 |
+
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| 21 |
+
# %%
|
| 22 |
+
import matplotlib.pyplot as plt
|
| 23 |
+
plt.plot(x, y)
|
| 24 |
+
plt.show()
|
requirements.txt
ADDED
|
@@ -0,0 +1,8 @@
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| 1 |
+
matplotlib
|
| 2 |
+
numpy
|
| 3 |
+
pylzma
|
| 4 |
+
ipykernel
|
| 5 |
+
jupyter
|
| 6 |
+
|
| 7 |
+
--index-url https://download.pytorch.org/whl/cu118
|
| 8 |
+
torch
|