Upload CylinderKnMa\Kn1p00\simulation2353_Kn1p00Ma2p2\surf\Surf_300000.vtu with huggingface_hub
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CylinderKnMa//Kn1p00//simulation2353_Kn1p00Ma2p2//surf//Surf_300000.vtu
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<?xml version="1.0"?>
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<VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
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<UnstructuredGrid>
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<Piece NumberOfPoints="400" NumberOfCells="200" >
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<PointData>
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</PointData>
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<CellData>
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<DataArray type="Float64" Name="id" format="appended" RangeMin="1" RangeMax="200" offset="0" />
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<DataArray type="Float64" Name="v1x" format="appended" RangeMin="-0.5" RangeMax="0.5" offset="432" />
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<DataArray type="Float64" Name="v1y" format="appended" RangeMin="-0.5" RangeMax="0.5" offset="1468" />
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<DataArray type="Float64" Name="v2x" format="appended" RangeMin="-0.5" RangeMax="0.5" offset="2476" />
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<DataArray type="Float64" Name="v2y" format="appended" RangeMin="-0.5" RangeMax="0.5" offset="3508" />
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<DataArray type="Float64" Name="f_2[1]" format="appended" RangeMin="0.00048" RangeMax="0.04766" offset="4512" />
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<DataArray type="Float64" Name="f_2[2]" format="appended" RangeMin="0.0012546" RangeMax="0.17684" offset="6324" />
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<DataArray type="Float64" Name="f_2[3]" format="appended" RangeMin="-0.0045157" RangeMax="0.17681" offset="8416" />
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<DataArray type="Float64" Name="f_2[4]" format="appended" RangeMin="-0.081959" RangeMax="0.08105" offset="10560" />
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<DataArray type="Float64" Name="f_2[5]" format="appended" RangeMin="-1.7082e-05" RangeMax="0.02714" offset="12708" />
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<DataArray type="Float64" Name="f_2[6]" format="appended" RangeMin="-0.024432" RangeMax="0.024547" offset="14828" />
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<DataArray type="Float64" Name="f_2[7]" format="appended" RangeMin="-3.0616e-05" RangeMax="0.002777" offset="16968" />
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<DataArray type="Float64" Name="f_2[8]" format="appended" RangeMin="-0.00094045" RangeMax="0.0009405" offset="19108" />
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<DataArray type="Float64" Name="f_2[9]" format="appended" RangeMin="-0.12224" RangeMax="29.537" offset="21268" />
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<DataArray type="Float64" Name="f_2[10]" format="appended" RangeMin="0" RangeMax="0" offset="23184" />
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<DataArray type="Float64" Name="f_2[11]" format="appended" RangeMin="0" RangeMax="0" offset="23236" />
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</CellData>
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<Points>
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<DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="0.49999998503" RangeMax="0.50000001255" offset="23288" />
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</Points>
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<Cells>
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<DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="24616" />
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<DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="25520" />
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<DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="26012" />
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</Cells>
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</Piece>
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</UnstructuredGrid>
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<AppendedData encoding="base64">
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vD3muHyb6uqP8DPzRpZAZROnxR+i2sDfR0wEoljLYdP7bYEiH9L6s+DUYu1+XbxqKCUdaW4TRvbAwpA+avT05GwHfy0lDY+ui0TclODAG4hryWgfro3HiyINFh5gX4GYcmWNffREaLBY/M3HQua1CoalfQWOQxOJZhQQwD3VIydglgigPzRxuSgTTJr+07FkyXBOD4w0CU1AzULClY3Ma7KY7xCfU07Hque4H04J0eJ3WVPn71lUEun+slm7PADVKJ3WzcRauu54JS+3IxD6Guo54YzYKqdXjs0+yYSUov3wukih15U43mXC42rM+PSEXd9LWKEUFseCTzJVztMiHpK9Fs2lfPlrmKkPGbrJxXEm1dYrJRjj9Y9dodgFZtwJSN4Woab57/JfAQnRxlvmHGBchZVeg+oZ1HLT2V8WGdhSR9eGgecfEePFGLhomH6V9o8lFgrugwlwMxeS1X/+NC43u0xzuWDHu195JlPhUjH5WVd92DQITNb2XZ10J3Gd1Nk2DwBM115WvjhGkLnlQqZmJ+9xHgD72brVYJYHpO1rWCeMEzCImlakuPNxlEvuH3HiQdpbWlTXh4ZGgfGt4eCIbQXvKI+DHMrBX9SYQH6nHo98mkCoXrFWqQ8A+bxE/tcWIZ231P+FMIHDcOq5fhu/3WSCYYqTELHXrneOKrCC7M95cVDcYebTVcPCpsGJ9+zG+vZfx4ZkkBwO7iTYGo0hkA8zXLvekFUHfkm0+ZFyIAzOadkVrC/Hd3M/8ihSgalZNjWZSgIfWTTyOGRsYbI5K2cZGMl9tnd752HCwV5uhnockiU/LjSxysYTiqbD5CxOaIWzFFZU5cBqZC6qwvwYFZvIZvZZsvJVluEuxsnBXTuCYhYP19MwNSRmorefssjfMgA3/dXtfpMPzTx++otPQrTGiTTVMwxXrFQ6SvnwdJgoOSsFhnTc9N6YTyD5IRM41wXcJGTkCIV+CCtXlWIvSJayrZTe4msVh/jq1F6Cs2Lo8enUsuqc3FqgPR+N9i4XZT6WReHxOTAcJkVBMPaXo7RKOXY8HYg8vDMVrcAYaZEMRqyp4URAYJiq/t20JIPPrT+4/h6riH+9v3e8L65IesbLGc7hR9swpwNwLDqFSkaMynphvl3FPMo4HqS83aM9PuMJGkF6KM8nHU0hv9eAT5iQE3Z8j6UD626JcEHatLfZMuTGVuqyww6toQZ04HeLzjWwFRyI182GfJcktEyzQrDpbtoNO8shQNBbyUej3lXsGIp4K+SqcnyH5LlwvoeX2j1joizgt9P/KRZD9qSviv5DvwnXhf0K4/3/NguvzAQAAAACAAABABgAADgYAAA==eJwtk3k81AkAxdNSydVSmeqTtstuOXJWS3mpsdFGLTJjTMZIiEmHoxArjBAhxzKTjhlUFJIJw8jM+I0cUdlUEhMlHaNj6aOwtnz2/ff+eZ/3eZ/vm5lWc8Lyjz0IHxd5ljhRcY1mpHayygP5X7kltv+4gqH0kUE47UV6nLZv97974EPjyj7TvEAp6FTmxtPx+ovxjKHTVHCpcgPhKA2c34bJBUoUxFmXeJWp0WDSOpSxm+yFWuZTXtssd+jWbXspjPdE4zHvrtOX6PhxmXnJgyNeYGsU+8+u8kL5UFdgxG4vtOnUXy929MZlhz5aj6UfPCwXXdBJ8cFGnU42dZIJJ3bns3vvfWEeUL/DJswPwlCFmBYYBAMwDnQsOYjC40XPC18eQWxF/Ly3Q8G4ZTAiNlsfApV7vR19VqEwuyAiz/ohHMyzq9tfMk8gbMc109TWKJzzGaWSPWNgeiswX6frJCJW2Pi6FcbBSdTckrwpHqZ7Ex8uYyZCjZNDXZSagoj+Xz22+KdC4Dznhfb2M8hMOcferEhH8YhOe5BRJhhbVU7pkrMwMbWRKfHPwZe4k696pdmojRYHPb6Vi8PtiQ965Vwcr166eCH/PJhXjeX7E/KhMy/z8PK0i+i22viYS+KBcmPMkVnIwyqGakFjaSHWJdo71uYWYcEVQs7svgyTWNlOnucV5AZpxzW0XMV764Sm6IUlUGJtia8+WgqmeDJm9qxyPBItSFINKIdKwaRWudsNsGffLY00qMBrRYfdNtlNpOvop/juv4mEzYoPj3wE8HlT+i5WLMDKgiA/Rng1VEg56FtYjciEw20VP9cgY+4+NVtNIdRnb62IUa3DfMh6BPF1ePPK0W5tighNPwZ+XDOjHr1Hks+8+HQbZmkT4obg23DBobXOzAa01hvETl1vgIN/a818ihgBJJsVRWQJLkpPhCt9/ubHKW6cLAkoHQ7vlzCkUFv1S3RKjRSU7CiK8pQURdXF72pXNKK/rHnx6DwC/LKf7lItCOg9r5TbMQj8dXrMqS2CQKRofEAUQGC9O1+Pd58ASd9FhX9WhlGjYKGhvgwj0jnP78sIbGvZVRxlJQNCbKNaz8lgMbLr8A2eDHm1OelaETJMx9rK8IqULuqdJKCsHDwyJiIAS0+hg7oMLOX+0MlYAluXz9S8tINA55Nm+S/hBKS37PI0zAjEf/AfSBQ0Qq8nX/DUuBEDqW0r/zRpxHB790FdjhQ/TReVQHF+k+HfHAmScrUdRswk2Dt9GDE4ed8lhq+I1JIUJsbZFWbX+lMbsHagz4++sQHh08H1KE9z2vvF8DaWlx/1z1DUYZi21WboSR2efokOqAup/X9XITiR9mO9fdVgTlgM3z1UjeEwkYVdTBXIAd2ERacAm4yL7cimAuyatb25JLgSFFv1EIVaJeiDIe47WRW4/ofW/SHNCtCDt0+1CsoRPLovcyKxDCqTbD3TiFKIXFltbxNLMPciyd2sqRjs95Ma3SWX0cE7tlZ+/jJCopZpavMK8FX9ygb+IB/GqYzjq5v54FVuGJP48CB3rHo3b+oiyh48C13/4gJ6wy7VOK3Mhzkra5SblAdBoeanCJM8WA+M9ztn58ClJXB1yF9Z8K6vmzE+lIW4S5oGPZ8yoCcZO9DDTcPV+daLT31NxYXBF3b68lOwsBe73MlOxmhNd/Lk/lOI7H7+jSQ2sg+xDHXlJ5F1Z8Qq94c4DBppVCxhxaDmO25jf+J3ziiJqx4F1dy51l1d4bguNdQy0jiGWvuJl8PtoUgp5B9j5x3Bw9LSssUfgmAfNmOZrgkLhLnGOqO0ADjNkQhzLH2hGlTAyqgMxDOxzYdXLb5gFikY7ge8MUghNSk2+ULXTuuEuhsdNgN+d5Y+9cNg5gLpQyUv+Dy69tpkARNyofdvxyO9QN+ulrAmhopnLVUDnxqpyPIo4PAfe+CcyyqhZKEbHK1iLJwL6WjikYseielYo756WL3UFTPd86ye6NLQap68ZXezK7ZY3Tuvf4aCRTs1og3PuMLoYGzNz+5UPDlAIz1etAda06DS8DbJxblt0A3/AYRqBe4=AQAAAACAAABABgAANQYAAA==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AQAAAACAAABABgAANwYAAA==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AQAAAACAAABABgAAIgYAAA==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AQAAAACAAABABgAAMgYAAA==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AQAAAACAAABABgAAMQYAAA==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AQAAAACAAABABgAAQAYAAA==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AQAAAACAAABABgAAigUAAA==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AQAAAACAAABABgAAFQAAAA==eJxjYBgFo2AUjIJRMApIBwAGQAABAQAAAACAAABABgAAFQAAAA==eJxjYBgFo2AUjIJRMApIBwAGQAABAQAAAACAAADAEgAA0gMAAA==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AQAAAACAAABABgAAXwEAAA==eJwtxVFEHAAAANBKkpzkJEmSJMlJkiRJkiRJkiQnSXKSJEmSJEmSJEmSZGYmmUmSJEmSJEkyMzOTzCRJkmT20Xs/LybqXazjHO8EB5zoJAed7BSnOs3pznCms5ztHOc6zyHnu8CFLnKxS1zqMpe7wpWucrVrXOs617vBjW5ys1vc6rDb3O4Od7rLEXe7x73uc78HPOghD3vEox7zuCc86SlPe8aznvO8F7zoJS97xate8wd/9Cd/9ro3/MVfvektb3vHu97zvg986CMf+8SnPvO5L3zpK1/7m7/7h3/6l3/7xrf+47++870f/OgnP/vFr37zP0dFvxfjWMc53gkOONFJDjrZKU51mtOd4UxnOds5znWeQ853gQtd5GKXuNRlLneFK13late41nWud4Mb3eRmt7jVYbe53R3udJcj7naPe93nfg940EMe9ohHPeZxT3jSU572jGc95/9sSVRSAQAAAACAAADIAAAADAAAAA==eJxjZh4eAADsVAJZ
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| 37 |
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</AppendedData>
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| 38 |
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</VTKFile>
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