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  1. .gitattributes +8 -0
  2. CylinderKnMa/Kn0p28/simulation0577_Kn0p28Ma4p6/output/grid.300000.dat +3 -0
  3. CylinderKnMa/Kn0p28/simulation0578_Kn0p28Ma4p7/output/grid.300000.dat +3 -0
  4. CylinderKnMa/Kn0p28/simulation0579_Kn0p28Ma4p8/output/grid.300000.dat +3 -0
  5. CylinderKnMa/Kn0p28/simulation0580_Kn0p28Ma4p9/output/grid.300000.dat +3 -0
  6. CylinderKnMa/Kn0p28/simulation0581_Kn0p28Ma5p0/output/grid.300000.dat +3 -0
  7. CylinderKnMa/Kn0p28/simulation0582_Kn0p28Ma5p1/output/grid.300000.dat +3 -0
  8. CylinderKnMa/Kn0p28/simulation0583_Kn0p28Ma5p2/output/grid.300000.dat +3 -0
  9. CylinderKnMa/Kn0p28/simulation0584_Kn0p28Ma5p3/output/grid.300000.dat +3 -0
  10. CylinderKnMa/Kn0p32/simulation0651_Kn0p32Ma2p0/output/surf.300000.dat +209 -0
  11. CylinderKnMa/Kn0p32/simulation0651_Kn0p32Ma2p0/surf/Surf_300000.vtu +38 -0
  12. CylinderKnMa/Kn0p32/simulation0651_Kn0p32Ma2p0/surf/geom.surf +610 -0
  13. CylinderKnMa/Kn0p32/simulation0652_Kn0p32Ma2p1/Grid.pvd +9 -0
  14. CylinderKnMa/Kn0p32/simulation0652_Kn0p32Ma2p1/Lambda.pvd +9 -0
  15. CylinderKnMa/Kn0p32/simulation0652_Kn0p32Ma2p1/Lambda/Lambda_0_300000.vtu +0 -0
  16. CylinderKnMa/Kn0p32/simulation0652_Kn0p32Ma2p1/Lambda/Lambda_1_300000.vtu +0 -0
  17. CylinderKnMa/Kn0p32/simulation0652_Kn0p32Ma2p1/Lambda/Lambda_2_300000.vtu +27 -0
  18. CylinderKnMa/Kn0p32/simulation0652_Kn0p32Ma2p1/Lambda/Lambda_300000.pvtu +21 -0
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  20. CylinderKnMa/Kn0p32/simulation0652_Kn0p32Ma2p1/Surf.pvd +9 -0
  21. CylinderKnMa/Kn0p32/simulation0652_Kn0p32Ma2p1/config.txt +78 -0
  22. CylinderKnMa/Kn0p32/simulation0652_Kn0p32Ma2p1/cylinder.surf +410 -0
  23. CylinderKnMa/Kn0p32/simulation0652_Kn0p32Ma2p1/gas.species +14 -0
  24. CylinderKnMa/Kn0p32/simulation0652_Kn0p32Ma2p1/gas.vhs +9 -0
  25. CylinderKnMa/Kn0p32/simulation0652_Kn0p32Ma2p1/grid/Grid_0_300000.vtu +0 -0
  26. CylinderKnMa/Kn0p32/simulation0652_Kn0p32Ma2p1/grid/Grid_1_300000.vtu +0 -0
  27. CylinderKnMa/Kn0p32/simulation0652_Kn0p32Ma2p1/grid/Grid_2_300000.vtu +0 -0
  28. CylinderKnMa/Kn0p32/simulation0652_Kn0p32Ma2p1/grid/Grid_300000.pvtu +29 -0
  29. CylinderKnMa/Kn0p32/simulation0652_Kn0p32Ma2p1/grid/Grid_3_300000.vtu +35 -0
  30. CylinderKnMa/Kn0p32/simulation0652_Kn0p32Ma2p1/grid/final-grid.dat +0 -0
  31. CylinderKnMa/Kn0p32/simulation0652_Kn0p32Ma2p1/log.sparta +318 -0
  32. CylinderKnMa/Kn0p32/simulation0652_Kn0p32Ma2p1/mir.txt +3 -0
  33. CylinderKnMa/Kn0p32/simulation0652_Kn0p32Ma2p1/output/lambdakn.300000.dat +0 -0
  34. CylinderKnMa/Kn0p32/simulation0652_Kn0p32Ma2p1/output/surf.300000.dat +209 -0
  35. CylinderKnMa/Kn0p32/simulation0652_Kn0p32Ma2p1/runmpirun128.sh +18 -0
  36. CylinderKnMa/Kn0p32/simulation0652_Kn0p32Ma2p1/runmpirun64.sh +18 -0
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  38. CylinderKnMa/Kn0p32/simulation0652_Kn0p32Ma2p1/surf/Surf_300000.vtu +38 -0
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  48. CylinderKnMa/Kn0p32/simulation0653_Kn0p32Ma2p2/config.txt +78 -0
  49. CylinderKnMa/Kn0p32/simulation0653_Kn0p32Ma2p2/cylinder.surf +410 -0
  50. CylinderKnMa/Kn0p32/simulation0653_Kn0p32Ma2p2/gas.species +14 -0
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AQAAAACAAABABgAA+gUAAA==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AQAAAACAAABABgAAGwYAAA==eJxFk3s01AkUx2NqE6JTDRark6lVpBRS7ej2MKmGlB2xpcizIhSiljbvZzUzxls1SPIsj2JquaxXBmEYk/Ga+WXVUHqt7Mra1e6es399z7nfe86993s+N3mxFcPw/QGYCrnA80h1A64ZucDokR9YaPq9pztchDPMIWdSaCh0U6/Srvx5FSayHqiwRiOA0cSYWeIZAw2WjZz9OTHg/e2It79rPJweazVdtCUB6u6z1ijYM2Hr6pLNryKZ0Ks6rhtVzoSHmsunHWaYkJwumDkuzwTzvkTlC+osMFaz9tSLSIKhHuE3CefYEOJyU3/EmA3ez+qNsw+wweqe5F14LAdcT1pql4dxgOYSrlkblQwblFk9oo/J0Jgap3vHJxVIOyFxmc5NcNem9FN6s6A8LKDsTB4X+nQ+7ZEbyAazfLYcNz4XVo/vXFBgfQeqMiWZdzvvgol7/qpeWiF0Tn//Ii+zGIaSTxhVj5WCh1W9pmdPGZBHPSki6zLQ9B6n6s9VwLkbw36reA/hhXZggOO1ajAYfkr9sPgJEA7qVd0LasEwuNue6VEHFj7RWu/+qIdyV8qy+xMNEJTNO0QxbILzF3DvEW4LUCOi55Zs5EN+SskUbU8b/LVQ3eCsUQcwbPW4cQ86wJqceHB8YRf4Kdid/bSrGxqDXPoSsgVgnN/m4vKxB8xPxS3mWAthRlGQSOsRQmO6U4dcuAh4szG/DYhE4CTQKMkt7AcLk8cRz9PFIHP+83ZDyABEBfFi3zYOgg27ND2kYgg4w2a1n9qHoWpyrECFNwJlarflnakSkBy86L2QkMCbpbVG6fpSWB4rmlK6+L+mBO/q5xgQ0J3iv75UnwAu43MA1YOA+wpzVexvCKA/XWyeaUeAh1coqyuFgHs7Rj2q5QjI23zM0m4FAR92d3oIX0pBbfhX3doVUtj0zyFSMNyrPUFslUCSbdebtddGIHuArpkbOAz/xGEyBPwtjWUbfQYgYJzveUlHDALTJN9HPBGU4etb1A19AKYnHx9Q7gXVyWfic+oCGPldbEyX74JVouj483N8iB7bca2S0QxnfN9FtTLqYXK3wtPUwzzgqk86ashKoIlqcKbJjAMmqs4sJ+Cg23jp6/D6ElQMcySeknjouk5PbLe/Hh1Jx9c6aDfjpEL+ok0zfEw2+LmNFtKJRm6BRS/vdOPaQPkMBa1evORwz7Tjuz500H42e1blOaZbzjlLeP0oJpXUMYUDONam9ODGoSGs6LgmW0Ifxi69D2tkGSPY/qV8QoJjLNAInpSgzlxG8RFVKZI6a2Lo16X/zSfwIyNmUNmMwIo1u6wNjxPY66wZfSOWwOzsn8ITyAQeyhp8e3glgRRys1r4fL+WZXFT/gICt225MVtfJ8WDD21aXL+S4lX3vAPrX0kwTrkomPJRgo7blrEXWUlQFvrCq3ODBPPE+S82k0aQbHvF9k3PEG5PJQrL3w4iS9FVabfKIFqSgpXWrBPj+BI6lestxsLe12FHnZ8j36YwdIeOCNsMS6IbzfvQa/+gq2yvEFe+WnGJHdCDmkfEWiGnBCgXczjPQ1WAcyq0sJ2sTlwry2g1G2hHpfVQ8EnWjvNmpfxePp7jk+eJ4eN0y49CfmQLZpp3KSr/0ISJZNO0aGkD/stDPRYdN9er8a3DO6PC7V+5IeZc9nIuWvgEf1xZaim9XI3zz5R12v4h7tsVRdmfV4lHf4o8VceuwHi55dbc2DIsfyz0F3wuxQTbPQ8KT5Zif4ijln5zAWp3CcjelLuIND16yXQu6t61WF6TmIOqX9bWy0abXyvzR7O4//mZ6JRmNY9uBq6cYPxxi5WGtZGKKpti0/CkaNPzpQMpeHlBwuzM6nndFiar9EnC4pbQokCCjdv3lVve+5qNJtPMdzXIwinXpNlYJxZWkwL5uVosjN+5yr1xEROFe1pHe58x0XSywzftNBOLJVWrm72u45TQLuyY8nX0pY+GG/+egGOX/IL6fBLQ7Jcc3UN6cfjZv5v5fl0USmpVsoxzIhFtrTj+GuE40Wp/gqCEIifiCj3PIgibGXYN/Qq+aC+yXxps44YpL2lqc/sO4t9MujwLAQAAAACAAABABgAAKwYAAA==eJwd0/s/1YcDx3Hm0ilUctkpy91X6DtOc5xye9c3t8ht2zeWE6ncl5wlt6GSIyUbOSTfjlwPduy4Hc5xbp9yaZs1pbVKF21yikl2yEHId4/9Ba9fnq+Ie2JfZ4N69+KNLtp6FBLBj158K8gnEeHTtYTrWgph+OX1KJ8nNsRgHtPqj9cr7t3M0obVN1RinZ9r1ZcDVtBT+oyw/B2J7Zymu5pnKbjk628/nU6Dsvj5z5se7kY9e2Xuxzd+2JNPnLX09sQY2fPl8mM/DLtVRBeH+kBTpNR423MIxuaWN9dxDqOVPfJ1YkgilMHLg3LJKVxVdN1L6GDAOOLS5erkk9DW3hB092k6qHczB5/xUpHo1Gak+yoTC8fzFRUhTCQc5qoX9F7AHeKQcjLgPEL7ja56vy9CcsZIoQazGGP6W3+SgwW74Tbd/IelMPEZ2cWqrgBvw2ThwcgK7ImOGXIxqMKz6SD9cb1qxFTSPzPtqEWJ3JIl21iDK2pu97si60DWuPniiZiDkw7/U+mdaUDt+Nlvb17kwpYW7HfSrhmvA1Ir0wZ5YM/Z/HCM0YJPyBabmGVtCL2Vl6hc0w7HGj5toYcPr/AHfR9EdEIkraMc9O6EU+pbgl7QhYows+Zbm7pQ5D9jkd3fBe1fTm2JaxLickagnN8gxMv0pNQHiWIYH/+ozfC6CM/KK1v71ETYeHvoxbyTFGWvH5H6JkV4GFdXP5Migd15w+HBeTGWeKT3gstSaNxI09RZEaMnryFkYIcE3+f1uZW5S6C7fMLKxUmENW2fMAcTJNhd91y2/poYwfXRG/gfiBFyZ9+0UYQYvqQDv/08LYTtTompObUbT886y4cKhZjo8vh45zkBtmWZjUlWO0D1mmyMz+GDvO7Req/XHWgrqFnjrtmBBpdA1xitVmhcDO1r7W2FdcL9vY4iLkab8yvGZ5sQH6vWqqr7HbzeTPz5TT8H7uPDze/o9WA0+YbRX9TiDZ084TlViQkts1crp69hiXW0XbhajgGDEbm5rAS+CsXa4fQCxEQGuixTLyA+KiYlpyYbbhmxfQxmJvyrZ7eIPU6ByjFUuXrpCwycWTHzzg3Cs6md/kKRA3J6E/fruJrCTv3EEOuwFra+F4ucd7hil8l4+2hUCLzsPpVYseJwNIw7ukOPgbSHjr4zgjQoDjtY3v4iF3Gqjw90DOaj7UZI8iS1EOVPpE+tvYuRHFn3YedSKXJFPtXbM9kgfnNm7Aqvhm1h+fArSg0um9JVmRk1GA9oXXWm1eNikYidJW+Ctwqt4EMtLiabDR8dNf8em3nrzwi5LZC4kVQXN7VD6mRkR7nTDkLRGVOmzgfbu391a3AnVFZkp2dH+fDpkbE9cgWwytjc/5WfAN6FaylXPu9G7rX5VUaPECVk9QPr/y3CnAPfedfebjCtjIOc5CKI9ENKs0IkUFp4HgvtF4OlN2VbtyxBvJ71vIu+FGppWpbbsiVwmJvlmBvI8J80PqPvoAQ/pciub7GXYqjspA3PVgyP4KrAsX0iRPb+ahe1WYRFfZUXmx0lKNw2pSNz6Eb5yHu64zEhhjIWdgTnChEtJQ9cSOnEP/t18CGKr7SYOdSF7Yoz7TYhfMRELRUJ6J34BsHDrZx2cIbGjmg3d+C/ykN/E27DVjO19JRFHmpNdBpu/9ICx/3Hm85JeEj6F0er7R0XAetmjWMqGpHkMd+cwK9Dwa3Hz4eN68GlNy4npNeDxrH+O1WDH++d/7jxRDU+smoZpJjWImPVxHo/mQ2XS/tO2zOv4BY59AfF3lL8w/3bErw0ySrh7CkGSaM+Vh5eBFOF3YOk4gIYqAZMj67ko/2+iWaE2zn8tUSzD8hkIjkojbhx5BwWPm9ylJrkYIlMNq6qSkeLS86NE+NfIcwih5E0EYuFrH3Jv78MR9Lo3HfPy+LwLlp53zMqHKZXds7sPhaMFY+WoE7rT/HXNWrxMpWGV4LFItU/aeAtdk8JzqgT2Uth2QKuG0F6N1T8qD+Q2NAXq20zZwSj/WE67IhZWRQlNcCeRCPMrCemdI9YEQWhkXkkBwuC4WVaNatqTNyuPdjPalQncgL3dmt3zcrWWH92hBP4VPZ/au0A/g==AQAAAACAAABABgAAIwYAAA==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AQAAAACAAABABgAANAYAAA==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AQAAAACAAABABgAANAYAAA==eJwFwQk81IkeAHDSiw6bzSJqXYtEs5hszvwck8EoR2NJcsVgHA/jmjHzn1VSTZEjfYSyIk2FFUuR9cuO4uOqqFzvRYPldYxB43hr2/1+mxZWufWRHxzOxLimKbuvO9golNiLm3aAtDW3UXphKwz0fxpvXtCAtgrymRamHgTqVL9j3deFj9RPS7HLxvDB+2UWJ94QDMtmC0TeB4BOf/y9GkEChmenVtSwBUTIHdgT20oG174ZN0MKGXjTFgZV42SYvdhMfnLRAlo9VUfqUi2Bf1KcF6BoBcEqjcIQujUQSqJpr122YJe9TpH3soaIm7R9PR22MNgxdrbcxh60Mcj8FMkeahejGoPzDwM7aDF0YN0Rer2UhbIcCnCadC57Ei5QJNTglhZRIandM7j+ihu0b5ToWvZ7QJ2Ojz+pggbxEvlvA/W94CPjw7k7G96gtGiVPyP0haVXxLOp9uPwDbmyaOH0j6B+0/6llrEfGH6ccKes+cP0jdyaLjwBgoHu5srwIPhqWeAZuRIMLJFH6GB3KFzoWlYy0AgHwVnbMgrrNBR+UfApd4sEGq0sVOLOgDKW1DO6MBrC3hkM6Awz4fnKvPJqQSy8ExoNUU3iIXx9Ob7TNx5I9dem2Mf+DcTdCiu1u4mQ5vfnc9loEpjdKpykjidDWr+ZTbViCjQ8qFEWB6fAWEbD04SKVNiQiptMp1MhRvGhCgSmw5cQLdM3ahmQ6Ejzb8jNgO5V3ZAbHWyQyzE7NRTOgZ/JVV3HLTOh+z8qDgt6XPA9tjNSgcIFo5QlXn84D8J94kK3dPDgeL30e41FHtDsf47rVSOA9tbjybo2H9bXPTLfzhPww0jXqd0UPkiyHmja2fMhnHalhkPmQ9MfcTVzZ/jQqxIn72pPQN9WvimxRsBr0Tv1w/IE3LGIZdUp8mA0qVF0LIoHZZWbkqInODAo4R8y9uZAJdPLYPk7Ngz6NpZnD6XDilHOTIQ4DUza1YavZafCWp2Fi4MLCxzDSg9+dEoGTwlj48HfiaBGNfs1+1k8UOx7Ki0FsfA6Qq/4NzkG1L9fqVp6EgZ2StL+th9CoPqg+VKj0Y9wSKQWc8SNBhYTru/HmcaQ9JjS1CYxx9aRom0pVu5Y7KB5YRuHjpfH/zJ5kn4So/JWLh5NDUeMW5xMvs/AFbaFTSAnBo2/4V0/+2ccUvuytJkTiTjnyS9jDiXjUoPswT6jFHzlmmqbL0vBe/W5v0NLGgblk/pGIjNQMd44VtDCRpJvcgm7nYPiPb/M2pIzUSB3J32R4KKo0UEw2crFrw083tjf4qHgjePd2iACJZIg1q1HBE7m/CbbspmPvTGfd3aH8FFK37PqtEhggXCLt3MFgWG7G2ZM1Pl4vu3XnNVOAss31G8caCawXsFCy8WDhxPlV4tKz/PwQG/LtxFVPLz8tFd0g8HF6Drltv0CLv6duCH7xScTTVpf+QqiOOgcOvtCf4KNl9g7jiTuYqOr/liPVmk6ejD9R/yVM9AAx5x+ikpDneh/5dQmpOKttbmAqz0p+FSj0PrFPAuHGqsLpaxk1MuSJYhLk5A7e0nxNjsJN+/hbmGLE/BtgoQemR2HxWxv2YvpOHx0cySv5AoTu6/3NfZ3M/F+Yfw5v7Bo5AQoLEAuA0nbsx6W2UXivc+qgwmk0+ii3Zl7lRSOZ+VSlucrw1BoO8N4JB+CwjnrXaKYINw+tTfCbfMJXPusb7C3KwAvb3NqyjcMwGWVkUy7YT+ceC3zU3h7HGPp10bkTtLx3P906cd0fdBbzNo3yj+Kpo/2hW3dTcPvKq4HdOe5o3OYWcl8JxVP/NThKvOg4lfVimrn112QO1l/VFPijOWM6LE/lJzw2Y4gK6U5J9SatL5dNOKId9Jy7pJSHXHg8BHBaKEdurfuNVXytkHXtdrbITWH8PmM+RCz3xI/qZa9N2g5hL15ceThS5ZIzVcqfmlKxv27NglLbA5iu+Gqy7mjFjizddCERzZHTUbBY+cvJFQNEw2bRu7HlM/FRYXqhhj4/56rteom+F8t+XtLew1xqplMxIMePixWEGtRdJH6ZduU3E5N3LSp4M2GtipG+o2XHVHdjr21DvQqfXmUSi11THNGO/4B9NwMnw==AQAAAACAAABABgAAHAUAAA==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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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38
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_AQAAAACAAADwYgAAFxMAAA==eJw12Hf4m2XdxuELJyoj7AIKcdcdcNUdnHVHZtlRhlUBozKKCtwqo07ipOwwrQOMCwoo3IpCGUrcZWlcUIYaxVFl+Pb1dz7+cx6f5zrw6NcnCWCSlO9f283//+fKOQvzA838UDNXaeZqzazUzDWauVYz12nmes38SDM/1swNmplo5iea+almfqaZn2vmF7rx27f9z7rHPbz3f/YvWGeH/3dkn9gn9sX2ap/ap/aBfWqf2Wf2JfZcNLdnz3s4txd7296yt+xL7V172962D+19e8fesS+zF3vX3rWPmvvtPXvPvry539639+3j5n77wD6wr2juv3huL/Zir8399qF9aF/Z3G8f2Uf2SXO/fWwf21c199urvdqnzf32iX1iX93cb5/ap/ZZc799Zp/Z1zT3r/D+9/L+95rbc6H77S17y76uvWtv29v2lr1v79g79nn2Yu/au/a2fWTv2Xv2+fZq79v79o59ah/YB/YF9lzi/duLvdvcbx/ah/aFzf32kX1k7zX328f2sX1Rc7+92qu939xvn9gn9sXN/fapfWofNPfbZ/aZfUlz/6Xe/97e/96+/8399pa9ZV/a3G9v29v2YXO/vWPv2Jc199u79q591Nxv79l79uXN/fa+vW8fN/fbB/aBfUVz/2Xev73Ya3O/fWgf2lc2f/2f/I4zf9bMXzQz08xfNfM3zdyjmb/z4dfNPWfW1cwjNPNIzTxKM+tpZn3NbKCZDTXT0sxGmtlYM5toZlPNbKaZzTWzhWbmaWZLzWylma3nnF7l87Gfz8d+Ph9f936v9vmwF3u1t+1D+9C+0t61j+wj+8Tet4/tY/sqe7FXe7VP7SP7xD6xr7ZX+9Q+tc/sU/vMPrOvae5f6fdhf78P+/v7wzfcb2/ZW/Z17V172962t+x9e8fesc+zF3vX3rW37SN7z96zz7dXe9/et3fsU/vAPrAvsOca799e7N3mfvvQPrQvbO63j+wje6+53z62j+2Lmvvt1V7t/eZ++8Q+sS9u7rdP7VP7oLnfPrPP7Eua+6/1/g/w/g/w94fmfnvL3rIvbe63t+1t+7C5396xd+zLmvvtXXvXPmrut/fsPfvy5n573963j5v77QP7wL6iuf86799e7LW53z60D+0rm/vtI/vIPmnut4/tY/uq5n57tVf7tLnfPrFP7Kub++1T+9Q+a+63z+wz+5rm/uu9/wO9/wN9/7/pz9fxe7qd31dme808WzPP0cxzNfM8zTxfMwt04+s9f4Nm3qiZN2nmzZrpaeYtmtlRMztpZmfN7KKZXTWzm2YWaWZ3zeyhmT01s5dm9tbMPprZV3PtB3Ku2V3l+3uQ7+9Bfr8v8vm1d+wd+zx7sXftXXvbPrL37D37fHu19+19e8c+tQ/sA/sCe270/bUXe9fetg/tQ/tCe9c+so/sveZ++9g+ti9q7rdXe7X3m/vtE/vEvri53z61T+2D5n77zD6zL2nuv8n392Df34P9fjf321v2ln1pc7+9bW/bh8399o69Y1/W3G/v2rv2UXO/vWfv2Zc399v79r593NxvH9gH9hXN/Td7//Zir8399qF9aF/Z3G8f2Uf2SXO/fWwf21c199urvdqnzf32iX1iX93cb5/ap/ZZc799Zp/Z1zT33+L9H+L9H+L3+2L321v2ln1de9fetrftLXvf3rF37PPsxd61d+1t+8jes/fs8+3V3rf37R371D6wD+wL7LnV+7cXe7f58x3qd+8wv3vM4Zo5QjNLNHOkZt6vmQ9o5oOaOYpDz5lPa+YzmvmsZj6nmc9r5guaOUkzyzRzsmZO0cypmjlNM6dr5gzNnKm59h9o5po5SzNna+YczZyrmfM0c/6cozt87w71vTvU7+6lPnf2qX1qH9in9pl9Zl9iz52+d4f53h3md9fetrfsLftSe9fetrftQ3vf3rF37Mvsxd61d+0j+8jes/fsy5v77X173z5u7rcP7AP7iub+u3zv7MVem/vtQ/vQvrK53z6yj+yT5n772D62r2rut1d7tU+b++0T+8S+urnfPrVP7bPmfvvMPrOvae6/2/s/3Ps/3O/uZe63t+wt+7r2rr1tb9tb9r69Y+/Y59mLvWvv2tv2kb1n79nn26u9b+/bO/apfWAf2Bdc1vz/Yt6/vdi7zf32oX1oX9jcbx/ZR/Zec799bB/bFzX326u92vvN/faJfWJf3Nxvn9qn9kHz33+x35MVfl+YSzRzqWYu08x3NPNdzVyumSs01/4L3lwz39ONP/f8F5r5pWZ+pZlVmrlRMzdp5mbN3KKZWzXza838RnPtv5jONfNbzfxOM7/XzB8080fN3KaZ2zWzWjN3aOZOzdylmbvnbN/rc36Uz/lRfucu9zm3j+wj+8Tet4/tY/sqe7FXe7VP7SP7xD6xr7ZX+9Q+tc/sU/vMPrOvsec+v3NH+5072u/cFb7n9pa9ZV/X3rW37W17y963d+wd+zx7sXftXXvbPrL37D37fHu19+19e8c+tQ/sA/sCe+73O2cv9m5zv31oH9oXNvfbR/aRvdfcbx/bx/ZFzf32aq/2fnO/fWKf2Bc399un9ql90Nxvn9ln9iXN/Q94/8d4/8f455zmfnvL3rIvbe63t+1t+7C5396xd+zLmvvtXXvXPmrut/fsPfvy5s9/r+8tc59m7tfMA5r5r2Zy/Vwz62jmQZp5sGYeopmHauZh3NJzZivNbK2ZR2vmMZrZRjPbaqatmcdq5nGaebxmnqCZJ2rmSZp5smbma+YpmnmqZp6mmadr5hmaeaZmnqWZjma208z2c47Wu/1/9o73eTve782Vvm/2vr1v79in9oF9YF9gz/pze7EXe9fetg/tQ/tCe9c+so/sPXvfPraP7YvsxV7t1d63j+wT+8S+uLnfPrVP7YPmfvvMPrMvae7fYG7PCX5vTvB709xvb9lb9qXN/fa2vW0fNvfbO/aOfVlzv71r79pHzf32nr1nX97cb+/b+/Zxc799YB/YVzT3b+j924u9Nvfbh/ahfWVzv31kH9knzX0v8Xl+qc838zLNdDWzg2ZerplXaOaVmnmVZl6tmddoZqFmXquZ1+nGvT3fRzP7aqavmbdq5m2a2U8z+2vmAM0cqJm3a2axZt6hmXdq5l2aOUgzB2vmEM28WzMDzbxHM+/VzPs0c6hmDtPM4Zo5QjNLNHOkbtzG9+9E378Tff+u9v2z9+w9+3J7tfftffvYPrUP7AP7Cnu29f2zF3u1t+1D+9C+0t61j+wj+8Tet4/tY/sqe7FXe7VPm/vtE/vEvrr58x/jf0emaOZDmvmwZj6imWM1c5xmjtfMCZpZqpmPauZjmvm4Zj6hmU9q5lOaOZFne86co5lzNXOeZs7XzBc1s1wzX9LMlzXzFc18VTMXaOZCzXxNM2PNfF0z39DMNzXzLc18WzMXaeZizazQzCWauVQzl2nmO5r5rmYu18wVmqma+Z5mvq+ZKzXzA838UDNXaeZqzazUzDWauVYz12nmes38SDM/1swNmplo5iea+almfqYbb/P8ds2s1swdmrlTM3dp5m7N/Ekzf9bMXzQz08xfNfM3zdyjmb9r5h+a+adm/qWZNZr5t2b+o5l7NXOfZu7XzAOa+a/m2g/CXDPraOZBmnmwZh6imYdq5mGaebhm1tXMIzTzSM08SjPraWZ9zWygmQ0109LMRprZWDObaGZTzWymmc01s4Vm5vFpnjNP18wzNPNMzTxLMx3NbKeZ7TXzbM08RzPP1czzNPN8zSzQzAs080LNvEgzL9bMSzTzUs28TDNdzeygmZdr5hWaeaVmXqWZV2vmNZpZqJnXauZ1mnm9Zt6gmTdq5k2aebNmepp5i2Z21MxOmtlZM7toZlfN7KaZRZrZXTN7aGZPzeylG9/t+UAz79HMezXzPs0cqpnDNHO4Zo7QzBLNHKmZ92vmA5r5oGaO0szRmjlGc+3fsOea+ZBmPqyZj2jmWM0cp5njNXOCZpZq5qOa+ZhmPq6ZT2jmk5r5lGZO1MxQM5/WzGc081nNfE4zn9fMFzRzkmaWaeZkzZyimVM1c5pmTtfMGZo5UzMjzZzFb3nOfFszF2nmYs2s0MwlmrlUM5dp5jua+a5mLtfMFZqpmvmeZr6vmSs18wPN/FAzV2nmas2s1Mw1mrlWM9dp5nrN/EgzP9bMDZqZaOYnmvmpZn6mmZ9r5hea+aVmfqWZVZq5UTM3aeZmzdyimVs182vN/EYzU838VjO/08zvNfMHzfxRN67x/N+a+Y9m7tXMfZq5XzMPaOa/mmtf/Fwz62jmQZp5sGYeopmHauZhmnm4ZtbVzCM080jNPEoz62lmfc1soJkNNdPSzEaa2Vgzm2hmU81sppnNNbOFZuZpZkvNbKWZrTXzaM08RjPbaGZbzbQ181jNPE4zj9fMEzTzRM08STNP1sx8zTxFM0/lSzxnXqqZl2mmq5kdNPNyzbxCM6/UzKs082rNvEYzCzXzWs28TjOv18wbNPNGzbxJM2/WTE8zb9HMjprZSTM7a2YXzeyqmd00s0gzu2tmD83sqZm9NLO3ZvbRzL6a6WvmrZp5m2b208z+mjlAMwdq5u2aWayZd2jmnZp5l2YO0szBmjlEN37I8w9r5iOaOVYzx2nmeM2coJmlmvmoZj6mmY9r5hOa+aRmPqWZEzUz1MynNfMZzXxWM5/TzOc18wXNnKSZZZo5WTOnaOZUzZymmdM1c4ZmztTMSDNnaeZszZyjmXM1c55mztfMFzWzXDNf0syXNfMVzXxVMxdo5kLNfE0zY818XTPf0Mw3eZXnzNWaWamZazRzrWau08z1mvmRZn6smRs0M9HMTzTzU838TDM/18wvNPNLzfxKM6s0c6NmbtLMzZq5RTO3aubXmvmNZqaa+a1mfqeZ32vmD5r5o2Zu08ztmlmtmTs0c6dm7tLM3Zr5k2b+rJm/aGammb9q5m+auUczf9fMPzTzT838Szc+8oa554+aszDraWZ9zWygmQ0109LMRprZWDObaGZTzWymmc01s4Vm5mlmS81spZmtNfNozTxGM9toZlvNtDXzWM08TjOP18wTNPNEzTxJM0/WzHzNPEUzT9XM0zTzdM08QzPP1MyzNNPRzHaa2V4zz9bMczTzXM08TzPP18wCzbxAMy/UzIs082K+2XOmp5m3aGZHzeykmZ01s4tmdtXMbppZpJndNbOHZvbUzF6a2Vsz+2hmX830NfNWzbxNM/tpZn/NHKCZAzXzds0s1sw7NPNOzbxLMwdp5mDNHKKZd2tmoJn3aOa9mnmfZg7VzGGaOVwzR2hmiWaO1Mz7NfMBzXxQM0dp5mjNHKO59h9c5rrxs55/TjOf18wXNHOSZpZp5mTNnKKZUzVzmmZO18wZmjlTMyPNnKWZszVzjmbO1cx5mjlfM1/UzHLNfEkzX9bMVzTzVc1coJkLNfM1zYw183XNfEMz39TMtzTzbc1cpJmLNbNCM5do5lLNXKaZ72jmu5q5XDNXaKZq5nua+b5mrtTMDzTzQ67ynLlRMzdp5mbN3KKZWzXza838RjNTzfxWM7/TzO818wfN/FEzt2nmds2s1swdmrlTM3dp5m7N/Ekzf9bMXzQz08xfNfM3zdyjmb9r5h+a+adm/qWZNZr5t2b+o5l7NXOfZu7XzAOa+a/m2n/B/J9dFlZmHTsLK/MgOwsr82A7CyvzEDsLa/N8A89ZmQ3tLKxMy87CymxkZ2FlNrazsDKb2FlYmU3tLKzMZnYWVmZzOwsrs4WdhZWZZ2dhZba0s7AyW9lZWJmt7SyszKPtLKzMY+wsrMw2dhZWZls7CyvTtrOwMo+1s7Ayj7OzsDKPt7OwMk+ws7AyT7SzsDJPsrOwMk/2vOM5s52/joWV2d7Owso8287CyjzHzsLKPNfOwso8z87CyjzfzsLKLLCzsDIvsLOwMi+0s7AyL7KzsDIvtrOwMi+xs7AyL7WzsDIvs7OwMl07Cyuzg52FlXm5nYWVeYWdhZV5pZ2FlXmVnYWVebWdhZV5jZ2FlVloZ2FlXmtn3dHznTxnYWV2trOwMrvYWViZXe0srMxudhZWZpGdhZXZ3c7CyuxhZ2Fl9rSzsDJ72VlYmb3tLKzMPnYWVmZfOwsr07ezsDJvtbOwMm+zs7Ay+9lZWJn97SyszAF2FlbmQDsLK/N2Owsrs9jOwsq8w87CyrzTzsLKvMvOwhzmOQsrc7idhZU5ws7Cyiyxs7AyR9pZWJn321lYmQ/YWViZD9pZWJmj7CyszNF2FlbmGDsLK1PsLKzMh+wsrMyH7SyszEfsLKzMsXYWVuY4Owsrc7ydhZU5wc7Cyiy1s7AyH7WzsDIfs7OwMh+3s7Ayn7CzsDKftLOwNs9P8pyVWWZnYWVOtrOwMqfYWViZU+0srMxpdhZW5nQ7Cytzhp2FlTnTzsLKjOwsrMxZdhZW5mw7Cytzjp2FlTnXzsLKnGdnYWXOt7OwMl+0s7Ayy+0srMyX7CyszJftLKzMV+wsrMxX7SyszAV2FlbmQjsLK/M1OwsrM550/w/eABeoAQAAAACAAADwYgAAhAYAAA==eJztmWtYzFkcx7tMF91E6RGWCOuS2J7YxmXPpBJpQ5uKhOQuSS4hal1zqXZzy5Yn6YKEkFuJczYpoUKoyBjT/T7NNNVMYf8zf6/2vNnH7gvsb959nmf+8z+/c87n+30xt29FaIpeGhFjlFt+fY8RWXv/w9VgKyOSN/PHA7aC3sTs2bpFWpG9yVbPc+MLJvUmxXyB7pG6XsRimanQM7oX2dsw59ZAh16Ev/5gZKXYkNh0Zi89H29IokK6Jga4GBJ9wZjf4zt7EtIYN9nCrScJlPWsu5lmQIZp7jxmp2tASnqLbYuW65ODg3yb52frkSkWz2Oqv9MjLTYOjoFbdUmCww3J++c6xM31+/gD43SI1qITzn3Ce5DMNT1k8TXaxG/LtmQLO23i4XUFN8ZpEZ2VQ/y2yDVJ1sYjfTnummTdTs79365okCGRm9b319cgil8/u5JDws56PLTKUSfcaw823x2kThoJ19wpWI2cKjhf9OKlKpnzqv92HytVwqkJH9EUoUL4R8L2zi/+iO0urmJG/YDlIauZV7zHVT6nX1q3dFOsXKZTN3YK3j3W+UwXxeMXZs7QU+vCaUeX7ff1llMcE3QywTxDho0vOb7bZiyjWEW5wZ14W97IiYcfdVC87PxiZss68FvmuFJ2tVP88N5UZhIptpc3NRCulOKxb4YyJ9SG+xEvM9tWCcVH2zWZkSQ4tGwKczXEFCuPWV2Mq8SDmBvUSvGikY8M8zJF2ElPbXSYiYhiK7PgO10VzTia621iFNtEseB12wrk2ogdpC+Je48Gis8bZJj6kzosvjx7TUxQLcWezOlfsazB8X4P+/CrqijW2HfBX3qyEq85FZmn51ZBcbrtcFOurhD39dIOnJ0toDhbjsJkYj4OH8PhjvApp9hj8YN696IyXJvUEZE2pYTiqyW3ET/1ObYb0CCc0O8Zxf3jFjI7VoQvqysuaD7Fz8Idisvyc3BBZexaf2dMscg4MDlO4zquuJ9tyN2RTHHG8mjjnCpvbKr2q29RXCL6O+umPylcZXIN1e6SH+d636WYPY8cNHOzH0e4KZ/ikU36d8f9UYjYe/eUYm6okU6vgOfI33mWp1C1hOIk00Nn0o+UIaMXXupew8opnpEQPcfiJh+VW1qXrEoSUBzUxzXEtekdstyQaTF8QgXF+fNKiw1CK9FSXvu2jrwqitn9rkE39mx/kj6vluK1wsqQsIQ6pJ2vNjygoZ7ixDSzAk/rRjRf/0CwxY4miqWSM0P65DYjiUIXLRHFW+uG/6B9QYQiNUUm02e3Umz8xL5U1Nb6aV/FFF+6sYRRVYLuFY9mklxCMfNlp3n72pAylkZLKd6gDG4pksWvSK/f0E6xAfOWUX070FFFbGZ1UJyS5MIz8ulEY/0TVbM0ZBTbH/Kr6UqRoYduf55LcpFTzPaNHC2d9HZWRHQXxWxfdSNl7Au6KS5JDJiiU/IeBSoeG/QRuSwx9ORaq/Bi555KvViqwqubbvlx8A5V3oTJd1yPD1bjKVJbJ1eN93TIa1nIanXeQJPVP0sMODy/HoqJObyM7rC21x4aPC3F9ndr8NwqkmNz4jV5ijawcdDiteQzF7tOi3cb+vaz+vZcrmKD3mN2PuhP6E/oT+hP6M/P7U+2l7qQst4ioQ+/9j5k55Jjdh7oN+g36Dfot2+339hekUGPfeM9xs7Ridn1Qy9BL0EvQS99fi+xud+O2LzvQGzOd0Kf/E/7hF23FLPrbcNPoxZ8sJNDD0APQA98yT2gogwQCWJzuA1yHXL9H+X6hNSfmKW34pM5ZpcDV4qwe+u06ijUDHkMefxV53Eo3y0pu7TxU/61oEenFSKI0PL9vt7l0yAvIS//27w0G6p7glxswIVv90zlDKjD22M/NDoerMajPLZEH+qs+PSed5j93+kN5NO/zKcFQRK3sPJXSEX5ESBX+31zs6KEKGm/XuoW8yr0au502YzrNcgiptBF0xHyAPLgy86DU2qLJ+/eV4q7tv4SpeNbjC8IIx6bhz7Gvk83brayycbCoOIxk3LSsHU8Pzwm7TDS1Zv3pp6bgVyi7+dUV+QiZ7d1+n7HnqCbzdUpBhkvwA/wA/wAP8AP8AP8AD/AD/AD/AA/wA/wA/wAP8AP8AP8AD/AD/AD/AA/wA/wA/wAP8AP8AP8AD/AD/AD/AA/wA/wA/wAP8AP8AP8AD/AD/AD/AA/wA/wA/wAP8CPr9yPvwAhGgi9AQAAAACAAADwYgAAXwEAAA==eJzt2ytMw1AUgGEk63gzPWzR6Ca4YZmeRg8Lunoa7Kanq8GCnp4edmh6zwk7CTkQXsvpkv+aT/yma7O79d62X3XLxeX2eR9/5Olg9LDMzdvOtDe/Mel0Op3ezB71u/GapwPCv/r8lIZ5Up/dqttaSafT6XS/R8/f797fpdHCf/a6yGbjofm4TCfcpNPp9E3t0fPrR+UwiwzXrNy+d8wrGSadTqd/1qPnr+9aH3z9CTBKWa6tTL0s7ZV0Oj2uR88Pv1WW38o2Nsy0GpkPTPn7MDXp9Cb36O/PutT9+x3ccLdkmPo8hEn/ukdfv6ao+5mI6Kn7JbuI6KjrwnuI6KjrbYjoqesv+4joqOsXB4joqOt5iOg5GaYbdUT01PemENHzIj0O0TtEREd9XwkRPV/SY2cLRPSUbfTiCBEdZRtkhIiechsyR0TPMxnHiOhYynthiOiZ7kKyGSJ6vgFolywYAQAAAACAAADwYgAALDoAAA==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AgAAAACAAADMHAAA4x4AAPEGAAA=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_AQAAAACAAADoHAAA+AQAAA==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AQAAAACAAADoHAAAtgAAAA==eJzt2KsWglAUhGGjgjeUbMZsZi2bVsk8BFa6maxVs5ls1kwmY9UsZ5/uvMC/y/cGs/ZMVq9O3WG4zfCv3ySvHh9UXs7uRihMg+ZapAEK2zK+71pU9iHVJ1WIwrWLqWSMwtfTHSqPFlQTFLqUKuMpCu3drFFpMZXPUDiwm6PQ9zxU3goX6Kj0fRiVeyswEQr9boDKt6t5HSr9vrJAob1RFSr9DoXKjd0ShX6vQ6Wt5A0qf9Hozjg=AQAAAACAAADoHAAAoRkAAA==eJxFmXc8lX/8/itCpaKllBANu6FB40oa0qCoSEUSRSjJqGihUmSdc6+zaJCUWRlpISvJatPURwqFUlJ938fv+/vyj8d9jsfjdr/O9bqu5/U+gQ6frj+3Y1B/PeTw40wGuyPMpoYMY7F9/DeXubNYbImR8ZsdyGKhUM9y0D0Wdt61g2u6WAhvi1LtDTksVzg3J9KOw7eQbUdGiDlU3985eo6MAEa/DyTOtxJgedwPOUdagJ55rJbeHQH6n8o7OHqcED+LLup67hNioYVVtHmhEO/sVG5W9RNh4JpVKWeXiyAe4LTgRJgI1l4vu5LuiPA2+K6MjIIYeTcnzTAbKkb2h2wbUzsx5BVjFl1NEKPC/+tI+cdiOFSvG+Y6UoJlumcNZE0kaF0sbG9aLkHSxN17HRwkcNLcv9PaU4KUdxEPtY5I8OIvjzflogQDamszrt+WQF8/W/3rXQk8bm7dda1GgvyzzjkX6yQ4cG7PNfY/GkUmzU3ZqgxuG9glDwlg0NG03M62kEE7fazsZxeDtVXRW/6as7jhsiGEO8si+mhVY8VbFkcF07cb63FwHelk9/cwh/L8uynWFzi8vyTHVuZwGDiWj9djBFD9HRMh7yDAZuXZVf+dF4C+MLNogqwQna+WbJpkLUSRRprPrmhy7U39ya0R4ul08/enNUT48XmtvyhAhFdG4pSx10TAJof0O19E6ChRV1zQJcIieb6Wi4YYcs8zDm8NE8N+T2z4gxdiHDJoyp8hK8EJq/3tk8jcNtx2016iJcH8ZFajeZEEcfG6l6qtJHiaP/r0IHcJEh+df/cvUoIdzh37PJMkKHPPFTXlSjBrvEtMdKYELhnZ/0p8aSimvP8ZX03Du0b8x0KZgSLmiU03MphxQ+mDJITBiHvzsn0fMoioMiV3YjHFdm+A2VIWi1q+PnWJYKGseu/B9zYW+CgzQLiSg1y2hgM/lcMZz/VVdr85KPT/NUJ3ngA28NZdv10A94tKJZMjBUivX7i4q1EAzdizgtCFQvz6GfLlVoQQo8oNroYRnUm8h/CbB4hgWLYnaiXR2cueO80l0SLkhph7f/sqQkDwuuN/l4hhEpxk7OxKdBbXUdRwRowoy/Tz+5LEmNRg+s/ved/cYubvmTRLRYKmXzXLD5hKEBbV8RdrJZix9VSd+nYJDpu/zTywVwI6PCJQbZ8ErrsWKBcGSnBM+8vLlUtpGGg7+QbupxG2f+gsYxEN2/5dC468oCHTXJH0S5fBX6c3OV17GVxbeXOyzz0GoY7N/61ZxsLY4p5NCY+F/R2GNixkIdf+pf3qcA7fX+xJKVzA4XOjP/swgPwuiX50t4SDlZYB76aWAAYBVZuiXAVYUVxXci1LgJn+BprqnQIkix6ie4oQ74vuK5kECfFj8vjhN54J8e9g6MAuGREqb7drLFzWp7M7Q2ds60gWYfxIZ8PLL0R48PqH7OkWEf5TS2yyMBSjyGfVFc19YrRt0BsZfJnMq1uh5+1/YvCY6m6HARJ4dfmIJwyUwL7rXGiTEplj7GmHgTMk+FTLq2xfIIHKNyH93VmCt5VfXYc2UPB5U+fjNqVvXr4613R/X6Mx65JTROYnGkFxyipHlzM4Jf438ZYfg3eaZ8UP8hloXD8d+1uNhaHf75SZNixc3Ufc0iT6gk2qg+wDFgN7H4RFibaW23YrDte49dv04jlEPbfvXDtQgANqyTqlpgK87P4Ej2AB0pK3BSeWCtAWodlv3g8BvC7sic4aL8SZy50jH3kJMbhjohubJkTwW5525XchbvnGjpXdKMJ+wcuQQztFWLajpW3PORFG+x5auSNLhNqvBinj20Sw5E07tMpEjBuGs5fARgw9z30RlS5itA9J1Q68JobltCDND7fEuLnUcN6JO2LUjHn6c/UPMTa6Wn72HiRBe2b050txFDQeM1mXcymc6NqQY/2Lws2MpW7MMhorfyjMNk+msW7Vfr2QOhpHVG646hkRH+sOaMpzYJA1MORJAcXgQ65O4/URLIbQd6/mEd8/87a536k8FtXjxgbaj+Sgt7to7qhFHB4VDFqdeIDDVq/ptdtDOUTrqB9PruIwTSet3yVFAUoq9sosggDnP31x2RvXNy8ugke7TRbC0zZRxt5KCB16xkAPAfH/A3+O15O5TbTx36miKELKm5uaDzxE6K5Nt/zEiNA10dCkNU4E51CHRTExItAFrfPDikUIfDRGafNwMez2H3WKnCjGyhEhehJrMSiTrWNGcmKcvHhMvS6NvG+SVeJ3W4xTQh3fbTsoPCkc4Fh1lYL3inlkJSh09uw+b6pG44aRRKV1Cw3KtOTzvQs0xuerSoxraRSccCUWyCAncl9R0ToGUffCba6GEv8fP0X1whsG8oeDx2ouYLEjKzJ5yikWA54kbx1ZzWJiks3EegUO/T5uzurnyeG/14YkGYl/TXzdMLuJQ2vcsCf/TAQgb16xdxNgVcXEXQPDBAjpHGWy9JUAp5Q2PWogeek6c0Kl22IhNlWps4E+QoTbG4X5JAhxc4ldxOQUIQyy9rMDXwhRYWcsFJL5KchU5p9cJcL5+dInJtcfm74d4kRIDdzgdv2uCAU6+zsimkQ4FMJqbhglRsmy66emTRFD6VFi5AZLMc7sjV23cyyFxnb1am9HCq0Hd4f3S6Two7LmqFk1BSX1Z98cNWgkZGxfs3MdjTOvR23UTaKxaktx9rt3NKZLxziWQeD/8sW346dqs84w+GSuUnuT+H7lSbdBMwewePlzJG+oB4uoNe1awUUs0s8kyC+S49AZnkgSm8Paocbi/Tc5nNfK6TnZycG3ucwtcKIABdt3v1kxW4AWZfcw23UCzKmYT6JXgO8rW9NOPxRg+5gXJhUDhFh/vV72tbEQIbkW8fqHhViWK7aJEgth5N51pd9rIZoPJny+P1yEKUlvHezmipBoVrXgKPG5BIXLL59vEiHvW2uJnacISYnn7qoHi7DT67ZyfaYIL1K6t3gWiSA4OZJe+5kPlZ1ziIVQ+J7zIvzPTgpDbRyaNVIpbHi55uuamj7/ykr5XbyE5GOolsXFZ1U0LjTYmLToMHBs+xuQuplBiFRmpxmck8osh8GhpxKj/D8kP5tC56ss7/P9XY8f4x6Z15Ivq+M7VDncKvWuKl1PfH7rL/3KExwE6zo2tKdzMHPOO3S0lcOU/fptyfIC3JB0PVDqJ8AZ6z0EtQSYLHeMZ35GALNnOhuH3hfg6oXRr61/CtAb1zpCuKT6H7m1ieiryt5VOZzsa7lScW62EEOm/J3W/FAIx0EXCq+1CKF1J/jU0DEiTHhcPXqPlghPropiG8g8d/vKp88KFcEvgi+zsJYPbfPIq24KFMI1pA5C4fHkCQfPnKRQpTDn2pGnFIynt2dMGUMj44f/jRXeNNIvZUz7kkBjcUi2z49HNPSMlcpdh/XtYeAiaVIS3zppqeX6g0Fu7o70NbosHBy1sxq3kP17p36jcxeLtAOXlbsZFk2772p8qmFx2syp8fEkso89o4qPberzMeUoo/jjBRxqvi99GqouwOX74rcVqgKYlwT+U58qwJKArH2FmwXYOK36j+C4AFonXi2jEwTYu7QrxYPkaeVx64biKgH+G1+18LOqEL/LW0sLlgiB8TleloFCRFtIFS/EZqEgPvu9EDuTwklyiJBzZvqyHGMRnPxzOwr38xGm6dN98DYfU38p33EeSkFxoTNBQArlOaM28YIoLGyXJxtOofabFDwpXJgtJ1QypVGsYxpTfoSGtrOldlU5jZyGOTaaExkUuB4dkrGT7F3niB1MMIO4+odNKwoYTLQqH76lkYF2a3pn/BAWd6d41Jobs5g2uPP0gpUs1rfUkDuwuHQ061//JyxWENr9pM3BRHcuiRKSB6tfeyhEckh6HXr1eRmHi88XDDvxi8PmVf13/yM9wFni4bjYSIBgn1Eagwl32Pqs/RIfJEC705n6RVcEmDuru2pvmQBnVx4xCpUXYptSNOs3Q4gERwf8cSP7S3fNqwkh+tLXfecbI0TGE2t3I+J74uQlMul7+OCIe6Vm8DFn87BO65d8mPpZn/5MfMtJQyEqnvh8Wllo2R0+hZlls4xO1lPYpVCsf2gEDafSDfrBNjQqVxU9uBVJYxrnE+qfQyNg2dc7vC99e6kU4NTvrTmDe+9f5skFkTn1BiPRnabaxPs/GSTtlb08aj4LU9lIWdU9LDL0DLS+i1g8zrQnVsAiJjMtUe0vi9hx3nr5czg0Z9DPDm8h+jJS9hYe4XAjvz5mQhqHLFMT833FHJaORcShDg5q/V/pb9MXgEChwrsFAhi7BZXNsBfgisPCqfneAmy4aHDtGyOAWvFw3nLid3b7kq9PH0J4TVZFz316X1+YXKFe88KYj5C8TL+XoXzI5W1/mfCQjw5Cc8OUKTi2THu0bgWFUpnoZWwAhXlh/d48yyT56Luw6sBbCi+ijrgqqdOQ9XV8tGcTje5gd4I0fTyRtrGFjXpCo8JBSkpEV90ZWTb7GShH2v/QTiM5eeHCyfg6Bq923mn1/Y8BKXkNAwaxCNGXOgiLcX5jY/9uY3Fs0KtcLpGF/pO90YdyyRyHrdj0qZVFWWLxDcV5HH4H2kQP3sFhiNkwS3o3uSY0t5nMLz/l9MDbCRwmhZeOd/rIYdC625JQWQG+NIQXypJ8CKgxmF9IOCS6bX1zzL6+vVU2CVromCnAsUXRU1c+FSBIrpZb18HDgWJnzpbMq/qfj8Hmo3xk+yVoa1cTncl6W5wfQKH52pfj92b3zavZzExncw4Fj2FKD6veU6iJr+nw0qeRu6skIM6SxvXXL07HRNGIlGLPVRrt+JXnT3ii1GeEpaMCAznJutxOwmHS9PU+SjjihmXaPAGDpWN2v1MjXFHnN/JwTSfxO9veDxzDWx+98FRhUX9I2oBZvNLr2Lj1JIvrb9OMv55noWvz0OxxFYthowKmiidy6OnpenN9FYeDb3akvbPlsGX+uhEjyPy0XkRezsvgoLhJfvGrOg7ZGw89G0J4N6JGacPPWQL8eaaNd5sEiLv45HeEH8mFe7+TtyQJ8Knt4lfJcx5syXaYTOXDtfeHj9NT85iqc0Rnoorkyjo+6lukwECh6eeufQ+mUyikTk+64EXhnHebaudFCqkH7y5wKaMQQVpay1cKhr6TB9SBxq9VZ7q1/Qk/DC1YURhHI7tk4db6dBonPAtj6x8SLlOTGjrR360FQj1LBiXVJw2TvBn4Vv9+8FRE+mSrht+lxyQ3L9zz9HzLQOGh+aXDCiykrX/vJBbe+tMUy4i/dc5QV2pa3Te/55OTb8rdIH0qIfPhpFEcdo+73GW7lkOTUeepKuJz++PbUxt5HNTjXS1GF3GYX1DLNyW96l5JOWv3hnAKSXk3+T6/e61CJWcV8WBtHb6xdSAf908FDZi2nA+rtH+mcz35uD3Tu+5AEh9S1Zt+4KNxSaNjuR6FDGFb4oNVFFQsrHvG7qcwv9cYKThQqvHiyxSoQnvl2YRXN5kp+rYMoWGfWNZ1lvRIzdKUhrd+NOSG/hm5JYVGb3stpoH+o7RWfSQcSyh2mjaDAz5h7yLnMhi5vaBGj+RBfnLmZqdzDLSeZf/dKib6GnL9UmAxg2F5bWMn/mZQFOPTZbKIxQzHbUeDfFl878VSFhY/G15L8lk0Zi4gkmSxOCxSzfYdC68E/seNhHeNElroXD3Ca9rUv6hgDpLw8TdpMYcPzxsd1J9wMA7ZwV84SAC9H1R97EkeLIMLU+0KeFBM79ZSlOGjyWp83afFfEhPcaZt52N7fYC/SwofY6wWVr+5wcfx8ToO2i185A1f7D5yKoVZc1+farWnsLf3WISCpkyg368nhFO//DRSkqWhMizEpf9IGg8zph6rMKH/t6fT8AovJuRLY9Rn21+iaBrbegsuDXfjnLEyn/vOe8zY9F2m8xn0yiqQged7K9s5KQy8Vw57VveB6JDO40cNJ3vnoXvmvmGfvzmvfTzlpBWL1CVlVslBLNyE34L2XWZRKq3l5SyGUxP8LeVJbk5v23dpEAedTLMp40w49OLOLpKj2Sn3XY9yUFl+cF2eIw9f7g8nhM6D0evutIYkHqSnJu4veCDLu0deiw+YDFYaOIuP/Z0/89cc4aMsYpLH0It8vOkoUHhbxccm+vZTpQkUepLC/ojsKGx1Dwm+tI3Cb7t73uZnCV/stio1Se/rj3a+n2cvnEbDLbu/WH05Da3V6wwjHGlo9B780VjPzct5HU/juGljVUQajWs1FqsaW2j0EMpVmMDAw1Lq5AwY19ynK0l+iqrvdeMkg/tj8oI2MgzUJnxZo1jKYMq+jUvXEJ+7SNKidByL6FxhUKMZmU9V0zBnNxZy+jnhRd4sgm3sLksSWBD4/9JVyMJ/1H9J59+zyL5qsMBoNAfN+d47MrV4OM3ZlPaz5qGiWc3rZBgPTv1Xj5sn6ZuX2a1rjmnj+cjyX+7AW0r4vffAkQ+H1oeyBTl88Jv0MxWK+vzMa+1kmcWjCcfPPfUkfA6F4VOKiqe6UBjSInA95kf9X//uvX0dhbYo56NLid40P8YktxDuHxHKP/DPjobSgPbJtntp/Gve99pdSBPGqTh3J4tGVfoJyy1kX6euuto1nsyv9VNzZNEcBlMb+ouy9jJonFq3SI3sqbQNfb5I+tROaUNhYNJbIBlYzLzin61GODfmXP1AS9I/O6JII2eRsuBYmk0KC1l7q6u3Sa7uoJIaVJ+xCNoa9s9XhodDL96mlqry8CZkieyEJTyIHo2+GOLEQ2bwrBlbT/HwW27K3PAUHqQuYtfAw1pWbllHPz5iPj3+FDiXjwvv3V02beajRbRAv5blY1neYB1c5uP95RWqr57w8c7++NmjgylYzL2fMGkt8X3qksLegxQCBq0N0ggkr5O/GiOikH+m6/2PcgpqZdajbT71cZqB2fLFoVo0gj4XHDy/kUb+Oilx0hg90TivleRp1rnRPXMKiQ96/nU88IHk66SRXz2Iz5GyclWym+ToLKtrOlEMdPzF788Xkdd7wY5wydMTK7+RPK3eW/bqsBaLSeMtVLiNZF5nly9KDSD8Jq1X4Syerr79/OODOIwXnAr2/BMHm613yxXH8yDk5rw3XspDiLPers3OPGjXKl5OCCDXI1ylR8owuTmoq+wWD/d8QhQ/kLy08xlNKjIfDcmfrdes5CP9wqugSJKXf3d2fdgez8f0vKnEevnQP/7vqksx0Z8UF37ysWPKOqOfxhQ2Wvxaed2K5OWgGZStJ4UDMgMbSkkfL7p6fGzTCwrST2fDcBpXtDOGZxD+ONPTrTmH6A1edw5nOJNe3vtgNHwuDXpp9YBGLftRLbGJ6HNL/9CD3TT8v+vONNVgkO0gPfBnMPhWrNU5T8JrrR8vDyM9tCfC79XXvL7z7pMzbYtsuxkc8zs5SkabBT9TukhxCDq4p/xoZhwcFUza/r2Pg+q4D4b3R/FgXvqh9tF0HqZsSv+5ZjsPlwhFHPDmoRkewT0XeVj8PE7vVjkPvccGn3gIrLhieoXk5hpLs5sU4TG7DUZ3alz4mJxmIl8Z0pcHOg8PCXbfJ/t7fELc9Bo+Novk/d1ILiRbhKaHalD4MUgy1n4mhfW9RkLh+NstBYoRFLatEWWw1yjEnpmRFkm4bVvvYtBwqRSV12rTEBRcf1GwjcayoZe2/yT58OASb4kG1XfuqEOoubiuL18naD3XqlVk/o9LxlaU/dAkXNJDqKnHg+juXqH6MiEDmywfo+l6cZCq8rl9HP7u0CTVIQ7914QMtUqNw6nQzTW3yNyMxhVb/FAguZgdtWIv8bNirmeMUJ+HbbukDkv2Nv/3+3x3HrKbTW1tYnjwMx72PS+NB6/7+YQseHilvHbItk4erkx65WI7jo+LrsOzBpjz0draP9fIjQ/dCWa6RZHE1zyGkArER+y79yMzOvgoOBal70Q4180xMEo0ifC/qvLZE4RHMh8/2j1mF9nTpPrUAYcp7NlWZ2+QRuGNQPli/j0KREQKPaQv8L61zTKcQCPYa1fZWsJzel6vnIO9aHD7v67eFUNjntHaw9fP01AMlJ27/gaNN9+ZzEWNxP/ihMHWKgwWpa/ltY1jcHdhpXhOciwGPB096/7LWJQVjbUr/haLl3cyqi+MisMaCw9FU804SN00wCwO9mHznhR5xoH9Ik7sfyIOQ5Pmnv94JQ7C7AmpizvjsFIqB3kedN+I/rMi+7t+6O+F5FY4qiMjn+Xb53ej9yv5ZiXzUNt2/8meRh7iLaUHcnx4tNls2KXBx4gTd8vil/GxItJXbvk2PoYH+eut8iX9YJ9qwuAjfT549Lr705AsPiLM/xjuqSA6vpsara1A4emMa9nzdPt61//PkZqX4jNhZ/s4b47MligD4odTe4swBdVCeb8elT5+IQ91YbU7Dc/i2q3PB8bi6xgpMMaC718n81EzFj+uSw+SY+FVX2Gj5hMLeSeZSYW8WKjWm31ZHR8L7rLSucLyWMBWdUZmZSyk36rMJ3O2uBwytbM7Flt6QTgO8XrKSX/JfGU1Wps3uMRB8YDdW/65OPR+TZgbh5irhomyhXFw0y3U+tYeB+vEBbnKY3jYOrtS+ZchD4Kx0pN9HhJuBgRUHuOBlNfDLQwPVXK9/xBUnj/qsnnPg+r9GeUiWT52mzw29yS5XFv9avD22YTvSKsIs+HD2WDRwLsBfPy/r4/69p1e+3lO0h/yufwyvGg4juSHrNpV95UUFi2piNINp6BzoHTe8gwK/wOuVM8jAQAAAACAAADoHAAAVxYAAA==eJxFWXdYTv0bJxmRUXZ2iMjInn3MjMwkKysaXiPJS5KRkZVRyFZGiIzs+VJ2VGd8zznPE1khJVtk/+7vca5fzz9dXc865/O97896rG68/l78kow117eNTy3K4Jr4UPqnL8OUW3tz8iYzlHr56sP8HQyPNq5YPlpmiDp14mCt3wwfdm3N926swHpj/JKh/RR0VG9Ob7NYQXZWxhDnNAW989VrnlYqrpct+Nmyh4rAlyOCFk9QYbP2bd05B1SExDn1rPlaxbyiX8T4phociv7zj3m0hva/zOsrRWoYUv2PS1ayhju5nun93mn4mNqu/YFGJjTYWeXyq6YmmHtsWGrra8Jtbfco21gTVmr5ZeZcN+HSxAd775cw42bXaJfZ3c2oENLuiMsIMz4/eZuQOceM5GtB755GmVFsgf3gqGNmNIpddeJpjhlPFzU1J9pkoGX+pwP2lTNwED8i7VtloMW+kTOmtM1AG/9XMU+8ZTi0q6OFr5aRVLPrwgBZRp3mHd9uKsfg65z47Xw7hjUe1caUmsUwv9+k0+sOM2DEmMSreQy2cVeSqjoo8I+2PBTvo2BfVKeiA5cpqBQd3M28SUG9UdcsZ2QquG7iN6ai+4dJ98e6qWh+NPxG12gVNxOq9uwoqhjUu0lEM0sNTSsujI9pr2HqgkghOkhDuWWTi1Y8r8FdvyHN+BwTRCTdXG1nQumHF3cc7GTC27mNS39eRTh6928g3jMhIcj6zrh3JjRzKX4tmHAr+sjCanUdM6xaT/+T0t+MAYNHPivqY8a/R7L3f11rRvkyZw7Mu23G7DOVf9x7a8brPzVf3iuTgXX11WfDimTg3fqvhzdbyVg9p7L7QncZ3xudHzl0qYxzb1/Gl7sgY2Pb3Hp2mTKmZK08U1CJweYwywvzZBjqu3RAK8Jty4bydGIM5SrcF7O+Mryibz3eVcFGd+FNw7UKJnf7EvL1tgJtqGI59KuCvg8n5fSsqiL0/PPzwzqpiNzxtEToQhXTN/RzTUtWEfGp/Z4KRTWUbHj/9C+as9yTW02hXhpmvp6xO3eDBgK/6eV7Gty6xE5LqWyCP9x7hQ83If5Hkf3tAk3Qx3adCeF3PZIO7Tfh9Auv1UdSTHgxcY/ahnCb+8ljxUNrM+jFs672NONAL9srEd5mHDn5bvWTRWYo2f80/bLFjPPdljy7vdUMP32QzUjiY5glYVHF0jYzS8mYaBe+fqWjDNdS69utGynjYux/PoO2yIg6ti30VKqMEn3uHgmyZvguFM9vFsTwtPf47tsTGZbtTj2crjCsDVnpOreCgpX+s0smtlbwuNXBe97eCv5s3uwQF6sgbHPPNdOyFZzit19DhTKm2JiGI1U08r1SLWWVimH2q8a5Jqq4ur2YZdBnFdHpH7uc76yh+PdeuxuM1XB7cV7+2/UalM38CQ0JNUdP7vxYg3Pa42U9LE14VOfd8KYVTRgQONw8t7cJBOLlyHmEp/204JA4E9xOdNj5TTEhsfXytKl5JtBQDTv2nt53p8vHksXMWF6qw7Imbc0ISy9ff1kfwvHjnGXyEjMq36qypOYmCYj/khN8X4Jrw38tthNeSw7xA5JRUL0qjb6MRGKl7QkyhsYOft5PkiFVO7rvsBVDQfLkwxM8GOZ4tO3OFjAIC/evtKb5uujEN5kh1GnBqyXfGQ5GH83v3UNBuzmrco+GKXi+VAcW7zr07jPrm4Jimz+8a91chSuH3V9FwxIcURWTvD8FTj+kwlFo9LFBjgpEVKg9vaaGn+4IaOKuIaect1/pXRomthreskm8hnfFNmTcuKshposT2/5Sw6CdD98NqWTCsbKVs34ONOFn/AdpoLcJs6YfqpYdYELvS6UdEW/Cg+UvO609TXs65vWaZWdNeBpS6VifpyZczFj9y+erCbS0k96OlrCjhlwxOlgy3ieh5fuH888/l9Baf9DeBbxfftdDRk/Lmj02b5fx6vKt5kOvyOi24ttHizwZpYqlX1nhxhBtdZWlE+8n3DxYpFo6w8qL5bv9U1GBs/zleEIb4vvGEw+8Ga9g3tirE9pPo72MiiRlUFDxY/d0X0VB8M699S/8VGBxubhtJajIq5oXPp3wqrWpJX2Ciplz1RmXBBWJT3M2n7TWUGL3/PJbCLcqSX88T07SkN2WH4SGG6FcITTUlQLGl0zTsLmc+qfjfQ0D1nWOW5qvoV6XjA7ezUyw7vK1dvOOJmQlh21wmkC8N2KDr9N2k8EnNH8WjJ08Y8LA/t3PbWkjofPjwWu3zJAQuuN3Xp/VEjISvntNvynBJ66f46sv9PwwjowMzsqpw2T027XYITlcxh6/U7lBZ2QcD43OTiIeKyB2OtWAoaQ+2Az8VGsdZLjVmgsGQ8iwyNKTyiiYOLjzz7ajFONzFIMPFbAPW8NSChTo41VTRSt90FTocMxV4ZPcghRJxYBVDUKq31RRv8Lx11XzVATIMb/62mhwLJ45TqqmAZ3+fXGqi4ZMUu+HhN9fXdFwtdzO1ntPa2j9zZdGQ8PhnjPCa7zXEDQpJNm2vAk3X3LBNhnnZIJ+nGMIv0iv3z2/i4goGHQ/xFkCP+1RUyRseXaYmE3ChThlw/nbEo7Jfd1evJFwKGCb7OMsYwSpdY3xMnbMWj73wkoZPU4utnp4UdbVNOGZbOgrQ+fD2+vmujB0aBZMR8Xw2e5Sr3yVYeK0ene6WylIn5pnq4xRMIS2ue1GBatKbhp4IVlBZm7HnAVZCr6O5EyogIa4q1BaxYmXRUiSVYzXDYyK/1pua1Jts4rN5+qTY1CR2T1vwJ5PKkbktbjUqLyGmnxNumnoT1c735fm6dfl+L7LNQzfn0zKqeHlsYZEARpq30ir1Ok44ctl4TK9viRXPA1E+u2ffNKw+8yD5m00EQdKc2aSEFOHM7gE/bIDJMzrnDwlaY2E4C1rCEkJjMNF/BXQYkqEOlSGqc/BY6HRxO+Tj89ddFlGFof3iYyl+54rHUswNKzvR6PDMFgXAIZDI1Ja3Ugs5K+FnWq3HlKdfMSpcdYvehEetH3Z/ygYYflnzN11CiyJzQuuEK+N2ld7r6gg5LZjp6h7ivH5KnZetSLqVTFEFwwVOeeOF8uOUPHohf1/FU+pCHOJbNRPU8FdT+BvFau6T3gh2GsYmlEjdGIrDfOOj9723k2DwOViKunonGmWz/7VENvq94JbhOeTnTbkfDS0tM2Y1fymiHv9uZKLqLaZWfnbS3jW2fn1zSESLHTgJJBZI8Mk4SuxjGNxGS6nGnQb2EwGV8U1g2XUaJHZoERY4R56Vw6YXPubjC+nr4/f2JbBMuWA19OxDF+2ZJJjpTlbe9rj0TqGlnTqZc4w/EriBpAZPkfBpMaNMob3VXDSzSOgLPHYJnPdjRE7FXxz5hOgGOeh4Az/+FwFbc9MO9qC/NnfvVEhzp7TqkN/FeX6b53yY4SKuxYOZC3o/2Ynd707qEIb8J/55S0Vv/vaVPf8oBr+VEPB1JOuXXtpkNz5hNB+Vhno12iphtBefNNFcFQGnRZxKMuZGEE0dFuCd8HKrbb9JPRwqN6xzHwJRGaurw/RnNV+uOvMAwnuTudO29nKONGVAyeDq/TgtcT7RQLCLG/K6FN3nNbCJKOrUq/99bLks7jsNGZonjKNHBODWx3uPBjyK3CjzlCdy+heZvgVBn6qxeqRz3f3Gv5lLO1nuxel381SQORGA6ZAv+1bxPtNV1QxUw7Q7cB7Bbpsk+/4y9cq4gdy4VMNXlGx4277Bw+3qmisEwf53C03b7zMUnHGzpZWXQXfFoV8b3xSG+s6xHuVXlWcFzWbcCk5OqzeERFbZ9guvZYiwuH2LimJeKuSV8KhJOL51M6DiMokrNjbLebORglzK3Bml9BRJzIJc+ymxF+uRbxV70UjxUWGTdEVQ+J86W+7LlfcaS/H60ZChrZvZtfSGuE3vGKvzJIMYcGcKRnypqy46kC8/3TL93nDIhnKety6mn6eYbf1uqgR2QxVz4lFHlkQHtzuNFeQ+nzH9BkDFFycavUt1o98/5wDwjzytZ66oVeMfVEwilJHg7fk12jKK/9QcLMDd4oqHh/gVKqi9eoX0Z49VWzlx098l/51WFbcDvInPcakxZ0vzAu99QUW0adrr32dV4qg5V/U96oI/umJn0VYlNvTP7W2hP8GLvpSv7dk+EsJ/T63om+Q0J/UMOqWhDbalP1xHyVE7NnpP6KeDJ2myU+43SnZdcdwGTxNNCa8as1q/XBxugyezjJ+y9DtYU0G6ZbN1A+ODPq49WKwD1wfV5729DO35ysYnjtxJBn0MUwjHeVjTP7/SLrimddCgZ0eJBTol+Wp4NOo3SXnEn6cbX4tUUAmvfbVcwo2DBr7zYl8W8s+6x8/+KyAp4h2vyhv8RjXoHBvnT4sPulI+5r0bCZZfBUUKvu2riLigxsXAhE6rSwV0WpWFaIWEdajuPKQHvbPtWxjI2H5+NzsgYSXU8yLeTPnSih7YCJtpmTgTjzPbcArCXwKrevIhr+VwbfiK/kJr66NrgSEyhinAyijjBTRWzYTz/3kBCWDp+Hx5CvCO/BgzfCk2YbYAmeGF3x8BjMUCy7ToPFCZuRphty8yTM3XSY9rRBVfAD5jmA9YCtI8HQgK6rARjf4CvzKn7boSfgFuR2pF7hegYNudBXj3BRULpJVvQ3hVjPt5z/lKqhY/MGaoFeRwuPPIBVtx13sZ20hIuVXORotEXekFc0PBYhGPhDhqxO/iL5c1rJF2K/7N7BGWQm0PLRBEkgkzo31l/BgCE8OEn4U54woYdZvh0r2TySc6s6JTcbPWqstFtgTv/OY1YFyUHTKA5tBMsacVataTZehx9HjMij8sXP3ZTwV+YDJ+OD6MhLVGCrqAYd46+ileYd7MvTRjQZDrMeP2V18GRz1QFGI3/yvt+crKQz7inIjpOB306ZkFWlvibV2j1PAU/LvYAX3/DjTKqBQQVFbwQ9yjb9PKgjQv0BBB79eZLEVY18EPKji0+5OA9GYWxF7y+SOeUm8FRf7wM1un2josmj0JRKGLp1SzYV0ce2imMCn3SSM0I0D4TL/44khUyWcWbXxRy3yX5P1G5ewcvlo+TLlSN3WEG5//bmMCXpxIkOvdybKeOLnRaMhY9g99bv9HhmV7jU7Gn5DRotrLuQcZbQtyZse2eAZZvhphqjZnLEYmurGmUEfn3MMh31488BQ19H+epNHDKP5Or5hcKjNFUGB6WxjOkrK6bZ6IMDaMiXJCioGXyuYnv2Dko4Cd90QC0YeFIxzF43+QAQNecSFqaKRm0X8O2rANJdjIljPNheXmkS0mMFPTDJ0RULbreFP63tLODrlUeDqdZLhlyQUb8MZnXC0DkxYQzpZShdqyfDPMtYVNb/OpD1929Vr1kPK4dytDPcp7Hv0eLSP8OW2kslId647/8oP2dgPBt6qdOnHYKcbo0J++6vT7G8NtJvh2f3j5FQZuukExbDgVOraHPK7pQi9s5QTPDqN/JPdUgG/mnfDFSgnz/zX15/8r2Nkrxb7BMN3C0gbxjdWMPRFRCk9kNPe6cFQNHhRBGed+bE0b4O6VZxIPPaXD0Xwq+niJGFm4t4ScksJPO2t9pCM3qMwP3btd9H3YyrxXUN+sBL4aVh9I7y5XJJueo0uu2q+E+HQ9+qCWrSnixfMzk3xI3xi9yxaskbGtj6/Jzy5IMPntis5DxncLdg8Jn9CLrPxG9rzW7zAY/hWiRMPQ3teowyl/MTrx5nk57iNXcvwUAsLct3E0J3XKJcYdNqlvFBMD77Ek3wNaG+dx4+jSxBQQQ+UAtpZfLi4MEkAb43mK4V4VXQq57ewrYjlZ3e6BQ4Xke/HHb6IGnqQpX3kNc4FETHrblt7EJ/pduariIORnIgk+Ee+CUVb0ssdQ1Yu7ilBIPSqjZFw4q4dWScJ93uHNvKleUu9zx8SpupBToK5FN9IGWTWCWEZvE3o1FnG9rOLKHoSTsQW9Qm/v+cm497O5mtWpcrw14MW5dDmf+r9+iLDg9T+Rl2GHMYLGQa9fvRg6O+alrybfBt3FWO5b7u52m7AdYbIhT86zSRdHdCeO3hm5DzB2G+ap5nFXBAhYKperAhos/d0+wLaS4slHUN+PhJgqwcuEYGj3+89XlfEFs+ez2q7iViaeWL6UF8RTWol/AnaKuJa9gqbZOK1JdmPrje8LRp6Jhr6KyH/AT9IyeiJJKPvkGDzeNWoFuG0p+EJM/J3Fvq0RsnhB0ekSKi+4cqjXx8kXOfx3kKGXvOQnn460pFWSQbdbMjUCYU897cnlLEsf1G5T4Tbna2XojeUJxwotK5ozox+l4HfTepI4rMlQ4mJGE7zens75ar4mPaV45mxJwJieBvkKWCULsiEG4+zawVw9zIkTjB6GQG6LU0VEJ1nopMmPgto2LkdzVsH/UJFowcQodtx0kvdlu0S4XLv05O3CSIEbncukc+ozJlMxGEOTwXC6/p7G+eGEjbHcAGTcJbHTsrjAZcEr4OREkRu2y4W+o9V1keC69O8jVu+id4hQa9T28lYqBcHstGzkB5E1yOFlo28SP6j+qGIRTEyGka98ql0j3IVh684gxKc4+Bciv2/7z5f4mz/Ex0IJx4HRjGDhwW4cPqsJeCRBw/SAspyuvUXUOfquZz0hQL0PzRfupweF/B2dA+XV2bB6LEEHAs7autUTsTAT+uGzSbdJLNAky+Cs9/IGSJ8dKMoIvaJd++ypAdOujCJhp6J0Ns20oUafXhzJRnXKyEzlROmBD22Didd5baI8rnrpi8lxpNv+/v7gQQrUnvHexJ4a9K+gPIVl7HqxP+kKv0bFPaOX6Nu+dcaXqivz2OXbTu7qNCXeNXlDb4MvSa/Kxs5SEb+BX6j6SBS63b5WDqK6A8BZws4ARbi5hlz5KhpvPB/Posew4lWgF7LbxSgx8MjAt7IvEASoMeBZwKO8hrrtwAKeWUfkJ/92weLGNS417V6HiK4uxs8U4RO3zR/ZXSBFY0+q9DnPi7IaO1mIWFNIDdmEppkPabNkvBxPi/MJIOfJcOHSgbfSnDuEXw68Abl+LxL9gWPJTz055Mu43Df5YnL68oYpQcMGYlVYiwmdJHxLCprUA7t7YXqM4g6ZEhFeDCn3HrpTY+gXWnQbz83DbnpvLhNR3LmKHomHUs8dYcDRx2YdIMn06HH1bfpKP82LWN6VQEJhOKcwQJ0uh4noO7Wfbff0f7qP/tsJjx1wheM3wsE6LKZKRi9nWicu4j3N/TFMvyziIW1uNMTUVovuEWjry7kwb99NPEflw/KW5Z6YSoaeyThbh3usAp1JJzXu6S/ITqRSWgRPmvv2OWkH7X9iRJpz3ltm1SY8+147V1UNvgjFVb6IKbCdVvZVnfvpEKX7y+piD3Ai+001KvzeZrngjSsT85v7LU+DU8+XS/1VEyDGiT9uKWloRe30Tlp6MFrMrt0sKY+1Z+NTAeF3bpnCN8gPWClY2bom20NiwpGfyMYuU4w8oFg8JIA3RYsEFBEL0KJN6e4l754RUDWsCIRfoJg9CH0+j3eO69aiZi6fe7OvfULdfmvHoqI38+Niwh9LBeICKPUFrylcN//+tfC3F/k2GRyGpQr7Pc0y3aXjN/jJPwP+QiwJg==AQAAAACAAABQLgAANwkAAA==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AQAAAACAAACgcwAANxIAAA==eJxd3FcYxmPhh/He90WIskVaQmWTrYQKIaOFZGSv7B3SoEGKMoqslIyioZKtUvbIbmnvvaf/wf/3Ofjdz8n3uu7rPr5Pnut5nvKU/z+TYV847HLh02FfFA+fDfviePgcwy4fD59z2BXi4XMNu2I8/KnDrhQPn3vYlePh8wy7Sjx83mFXjYc/bdjV4uHzDbt6PHz+YV8SD3/6sGvEw58x7Jrx8AWGXSsevuCwa8fDFxp2nXj4wsOuGw9fZNj14uGLDrt+PHyxYV8aD1982JfFw5857Abx8CWGfXk8fMlhN4yHP2vYjeLhSw27cTz82cO+Ih7+nGFfGQ9/7rCvioc/b9hN4uHPH3bTePjSw24WD3/BsK+Ohy8z7Obx8GWH3SKeDunNa4bdMlxvtoqH683W8XC92SYerjfbxsP15rXxcL15XTxcb14fD9ebN8TD9eaN8XC92S4erjfbx8P1Zod4uN68KR6uNzvGw/XmzfFwvdkpHq43O8fD9WaXeLje7BoP15u3xMP1Zrd4uN7sHg/Xmz3i4XqzZzx8w2H3iofrzd7xcL3ZJx6uN/vGw/Vmv3i43uwfD9ebA+LhevPWeLjeHBgP15uD4uF6c3A8XJcOiadDenPYsIeG683h8XC9OSIerjdHxsP15qh4uN4cHQ/Xm2Pi4XpzbDxcb94WD9eb4+LhenN8PFxvToiH683b4+F6c2I8XG/eEQ/Xm3fGw/XmXfFwvXl3PFxvToqH7zrsyfFwvXlPPFxv3hsP15v3xcP15v3xcL05JR6uN6fGw/XmA/FwvTktHq43H4yH682H4uF6c3o8XG/OiIfrzYfj4XrzkXi43pwZD9ebs+LhunR2PB3Sm48Oe0643nwsHq4358bD9ea8eLjefDwerjfnx8P15oJ4uN5cGA/Xm4vi4XpzcTxcbz4RD9ebS+LhevPJePiJw34qHq43l8bD9ebT8XC9uSwerjeXx8P15op4uN5cGQ/Xm8/Ew/Xms/FwvbkqHq43V8fD9eZz8XC9+Xw8XG++EA/Xmy/Gw/Xmmni43nwpHq43X46H681X4uF6c208XG++Gg/Xm+vi4XpzfTxcl26Ip0N6c9OwN4brzc3xcL25JR6uN7fGw/Xma/Fwvfl6PFxvvhEPv3DY2+LhevPNeLjefCserje3x8P15o54uN7cGQ/Xm7vi4Xpzdzxcb+6Jh+vNvfFwvbkvHq4398fD9eaBeLjefDserjcPxsP15qF4uN48HA/Xm0fi4XrzaDxcbx6Lh+vN4/FwvflOPFxvvhsP15vvxcP15vvxcL35QTxcb56Ih+vND+PhevOjeLgu/TieDunNT4f9SfjNw/4sHq43P4+H680v4uF688t4uN78Kh6uN7+Oh+vNb+LhevPbeLje/C4erje/j4frzR/i4Xrzx3i43vwpHq43f46H681f4uF689d4uN78LR6uN3+Ph+vNP+LhevPPeLje/Cserjf/jofrzX/i4Xrz33i43vwvHq43T8bD9caF05PhejOZjD1cb6aTsYfrzWwy9nC9mWMy9nC9mXMy9vAnhp1rMvZwvXnqZOzhejP3ZOzhujTPZOzpkN48beDzTsZcb+abjD1cb+afjD1cb54+GXu43jxjMvZwvVlgMvZwvVlwMvZwvVloMvZwvVl4MvZwvVlkMvZwvVl0MvZwvVlsMvZwvVl8MvZwvXnmZOzherPEZOzherPkZOzhevOsydjD9WapydjD9ebZk7GH681zJmMP15vnTsYerjfPm4w9XG+ePxl7uN4sPRl7uN68YDL2cL1ZZjL2cL1ZdjL2cL1ZbjL2cL15YTxcb14UD9ebF8fD9Wb5eLjerBAP15sV4+F6s1I8XG9Wjofr0irxdEhvVht21XC9WT0erjcviYfrzRrxcL1ZMx6uN2vFw/Vm7Xi43qwTD9ebdePherNePFxv1o+H681L4+F687J4uN5sEA/Xm5fHw/Vmw3i43mwUD9ebjePhevOKeLjevDIerjeviofrzSbxcL3ZNB6uN5vFw/Xm1fFwvdk8Hq43W8TD9WbLeLjevCYerjdbxcP1Zut4uN5sEw/Xm23j4Xrz2ni43rwuHq43r4+H69Ib4umQ3mw37BvD9Wb7eLje7BAP15s3xcP1Zsd4uN68OR6uNzvFw/Vm53i43uwSD9ebXePhevOWeLje7BYP15vd4+F6s0c8XG/2jIfrzV7xcL3ZOx6uN/vEw/Vm33i43uwXD9eb/ePhenNAPFxv3hoP15sD4+F6c1A8XG8OjofrzSHxcL05NB6uN4fFw/Xm8Hi43hwRD9ebI+PhenNUPFxvjo6H680x8XC9OTYerktvi6dDenP8sMeF680J8XC9eXs8XG9OjIfrzTvi4Xrzzni43rwrHq43746H681J8XC9OTkerjfviYfrzXvj4Xrzvni43rw/Hq43p8TD9ebUeLjefCAerjenxcP15oPxcL35UDxcb06Ph+vNGfFwvflwPFxvPhIP15sz4+F6c1Y8XG/OjofrzTnxcL35aDxcbz4WD9ebc+PhenNePFxvPh4P15vz4+F6c0E8XG8ujIfr0kXxdEhvPjHsxeF6c0k8XG8+GQ/Xm0/Fw/Xm0ni43nw6Hq43l8XD9ebyeLjeXBEP15sr4+F685l4uN58Nh6uN1fFw/Xm6ni43nwuHq43n4+H680X4uF688V4uN5cEw/Xmy/Fw/Xmy/FwvflKPFxvro2H681X4+F6c108XG+uj4frzQ3xcL25MR6uNzfFw/Xm5ni43twSD9ebW+PhevO1eLjefD0erjffiIfrzW3xcF36Zjwd0pvbh/1WuN7cEQ/Xmzvj4XpzVzxcb+6Oh+vNPfFwvbk3Hq4398XD9eb+eLjePBAP15tvx8P15sF4uN48FA/Xm4fj4XrzSDxcbx6Nh+vNY/FwvXk8Hq4334mH68134+F68714uN58Px6uNz+Ih+vNE/FwvflhPFxvfhQP15sfx8P15ifxcL35aTxcb34WD9ebn8fD9eYX8XC9+WU8XG9+FQ/Xm1/Hw/XmN/FwXfptPB3Sm98P+7twvflDPFxv/hgP15s/xcP15s/xcL35Szxcb/4aD9ebv8XD9ebv8XC9+Uc8XG/+GQ/Xm3/Fw/Xm3/FwvflPPFxv/hsP15v/xcP15sl4uN54cPlkuN5MpmMP15vpdOzhejObjj1cb+aYjj1cb+acjj1cb+aajj1cb546HXu43sw9HXu43swzHXu43sw7HXu43jxtOvZwvZlvOvZwvZl/OvZwvXn6dOzhevOM6djD9WaB6djD9WbB6djD9Wah6djDdWnh6djTIb1ZdOCLTMdcbxabjj1cbxafjj1cb545HXu43iwxHXu43iw5HXu43jxrOvZwvVlqOvZwvXn2dOzhevOc6djD9ea507GH683zpmMP15vnT8cerjdLT8cerjcvmI49XG+WmY49XG+WnY49XG+Wm449XG9eGA/XmxfFw/XmxfFwvVk+Hq43K8TD9WbFeLjerBQP15uV4+F6s0o8XG9WjYfrzWrxcL1ZPR6uNy+Jh+vNGvFwvVkzHq43a8XD9WbteLjerBMP16V14+mQ3qw/7HrhevPSeLjevCwerjcbxMP15uXxcL3ZMB6uNxvFw/Vm43i43rwiHq43r4yH682r4uF6s0k8XG82jYfrzWbxcL15dTxcbzaPh+vNFvFwvdkyHq43r4mH681W8XC92ToerjfbxMP1Ztt4uN68Nh6uN6+Lh+vN6+PhevOGeLjevDEerjfbxcP1Zvt4uN7sEA/XmzfFw/Vmx3i43rw5Hq43O8XD9WbneLgu7RJPh/TmLcPuGq43u8XD9Wb3eLje7BEP15s94+F6s1c8XG/2jofrzT7xcL3ZNx6uN/vFw/Vm/3i43hwQD9ebt8bD9ebAeLjeHBQP15uD4+F6c0g8XG8OjYfrzWHxcL05PB6uN0fEw/XmyHi43hwVD9ebo+PhenNMPFxvjo2H683b4uF6c1w8XG+Oj4frzQnxcL15ezxcb06Mh+vNO+LhevPOeLjevCserjfvjofr0knxdEhv3jPsyeF68954uN68Lx6uN++Ph+vNKfFwvTk1Hq43H4iH681p8XC9+WA8XG8+FA/Xm9Pj4XpzRjxcbz4cD9ebj8TD9ebMeLjenBUP15uz4+F6c048XG8+Gg/Xm4/Fw/Xm3Hi43pwXD9ebj8fD9eb8eLjeXBAP15sL4+F6c1E8XG8ujofrzSfi4XpzSTxcbz4ZD9ebT8XD9ebSeLjefDoerjeXxcP15vJ4uC5dEU+H9OYzw14ZrjefjYfrzVXxcL25Oh6uN5+Lh+vN5+PhevOFeLjefDEerjfXxMP15kvxcL35cjxcb74SD9eba+PhevPVeLjeXBcP15vr4+F6c0M8XG9ujIfrzU3xcL25OR6uN7fEw/Xm1ni43nwtHq43X4+H68034uF6c1s8XG++GQ/Xm2/Fw/Xm9ni43twRD9ebO+PhenNXPFxv7o6H68098XC9uTcerjf3xcN16f54OqQ33x72gXC9eTAerjcPxcP15uF4uN48Eg/Xm0fj4XrzWDxcbx6Ph+vNd+LhevPdeLjefC8erjffj4frzQ/i4XrzRDxcb34YD9ebH8XD9ebH8XC9+Uk8XG9+Gg/Xm5/Fw/Xm5/FwvflFPFxvfhkP15tfxcP15tfxcL35TTxcb34bD9eb38XD9eb38XC9+UM8XG/+GA/Xmz/Fw/Xmz/FwvflLPFxv/hoP15u/xcN16e/xdEhv/jnsP8L15l/xcL35dzxcb/4TD9eb/8bD9eZ/8XC9eTIerjc+HH4yXG8ms7GH6810NvZwvZnNxh6uN3PMxh6uN3POxh6uN3PNxh6uN0+djT1cb+aejT1cb+aZjT1cb+adjT1cb542G3u43sw3G3u43sw/G3u43jx9NvZwvXnGbOzherPAbOzherPgbOzherPQbOzherPwbOzherPIbOzherPobOzherPYbOzherP4bOzhevPM2djD9WaJ2djD9WbJ2djD9eZZs7GH681Ss7GH69KzZ2NPh/TmuQN/zmzM9eZ5s7GH683zZ2MP15ulZ2MP15sXzMYerjfLzMYerjfLzsYerjfLzcYerjcvjIfrzYvi4Xrz4ni43iwfD9ebFeLherNiPFxvVoqH683K8XC9WSUerjerxsP1ZrV4uN6sHg/Xm5fEw/VmjXi43qwZD9ebteLherN2PFxv1omH68268XC9WS8erjfrx8P15qXxcL15WTxcbzaIh+vNy+PherNhPFxvNoqH683G8XBdekU8HdKbVw37ynC92SQerjebxsP1ZrN4uN68Oh6uN5vHw/Vmi3i43mwZD9eb18TD9WareLjebB0P15tt4uF6s208XG9eGw/Xm9fFw/Xm9fFwvXlDPFxv3hgP15vt4uF6s308XG92iIfrzZvi4XqzYzxcb94cD9ebneLherNzPFxvdomH682u8XC9eUs8XG92i4frze7xcL3ZIx6uN3vGw/Vmr3i43uwdD9ebfeLhurRvPB3Sm/2H3S9cbw6Ih+vNW+PhenNgPFxvDoqH683B8XC9OSQerjeHxsP15rB4uN4cHg/XmyPi4XpzZDxcb46Kh+vN0fFwvTkmHq43x8bD9eZt8XC9OS4erjfHx8P15oR4uN68PR6uNyfGw/XmHfFwvXlnPFxv3hUP15t3x8P15qR4uN6cHA/Xm/fEw/XmvfFwvXlfPFxv3h8P15tT4uF6c2o8XG8+EA/Xm9Pi4br0wXg6pDenD/uhcL05Ix6uNx+Oh+vNR+LhenNmPFxvzoqH683Z8XC9OScerjcfjYfrzcfi4Xpzbjxcb86Lh+vNx+PhenN+PFxvLoiH682F8XC9uSgerjcXx8P15hPxcL25JB6uN5+Mh+vNp+LhenNpPFxvPh0P15vL4uF6c3k8XG+uiIfrzZXxcL35TDxcbz4bD9ebq+LhenN1PFxvPhcP15vPx8P15gvxcL35Yjxcl66Jp0N68+VhvxSuN1+Jh+vNtfFwvflqPFxvrouH68318XC9uSEerjc3xsP15qZ4uN7cHA/Xm1vi4Xpzazxcb74WD9ebr8fD9eYb8XC9uS0erjffjIfrzbfi4Xpzezxcb+6Ih+vNnfFwvbkrHq43d8fD9eaeeLje3BsP15v74uF6c388XG8eiIfrzbfj4XrzYDxcbx6Kh+vNw/FwvXkkHq43j8bD9eaxeLjePB4P16XvxPs/pn8V5A==AQAAAACAAADoHAAA9wQAAA==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AQAAAACAAACdAwAAEQAAAA==eJzj5BwFo2AUDEoAANeOIIY=
26
+ </AppendedData>
27
+ </VTKFile>
CylinderKnMa/Kn0p32/simulation0652_Kn0p32Ma2p1/Surf.pvd ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="Collection" version="0.1"
3
+ byte_order="LittleEndian"
4
+ compressor="vtkZLibDataCompressor">
5
+ <Collection>
6
+ <DataSet timestep="300000" group="" part="0"
7
+ file="Surf/Surf_300000.vtu"/>
8
+ </Collection>
9
+ </VTKFile>
CylinderKnMa/Kn0p32/simulation0652_Kn0p32Ma2p1/config.txt ADDED
@@ -0,0 +1,78 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ variable BZ equal 1.380649E-23
2
+ variable PI equal 3.1415926536
3
+ variable molecular_mass equal 6.63E-26
4
+ variable molecular_diameter equal 4.17E-10
5
+ variable gamma equal 1.666666667
6
+ variable R equal ${BZ}/${molecular_mass}
7
+ variable L equal 1.0
8
+ variable xmin equal -5.0
9
+ variable xmax equal 6.0
10
+ variable ymin equal -5.0
11
+ variable ymax equal 5.0
12
+ variable Kn equal 0.32
13
+ variable Ma equal 2.1
14
+ variable To equal 273.0
15
+ variable Tb equal 273.0
16
+ variable theta equal 0.0
17
+ variable mfp equal ${Kn}*${L}
18
+ variable cpmfp equal 4
19
+ variable nden equal 1.0/sqrt(2.0)/${PI}/${molecular_diameter}/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
20
+ variable sos equal sqrt(${gamma}*${R}*${To})
21
+ variable vo equal ${Ma}*${sos}
22
+ variable vx equal ${vo}*cos(${theta}*2*PI/360)
23
+ variable vy equal ${vo}*sin(${theta}*2*PI/360)
24
+ variable ppc equal 30
25
+ variable xncells equal (${xmax}-${xmin})/${mfp}*${cpmfp}
26
+ variable yncells equal (${ymax}-${ymin})/${mfp}*${cpmfp}
27
+ variable Fnum equal ${nden}*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
28
+ variable tstep equal (-${xmin}+${xmax})/${vx}/${xncells}/10/4
29
+ variable nave equal 10000
30
+ variable noutput equal 300000
31
+ clear
32
+ shell mkdir output
33
+ shell mkdir grid
34
+ shell mkdir surf
35
+ seed 7
36
+ dimension 2
37
+ global nrho ${nden}
38
+ global fnum ${Fnum}
39
+ timestep ${tstep}
40
+ global gridcut 1.0 particle/reorder 100 comm/sort yes
41
+ region 1 cylinder z 0.0 0.0 3.50 -0.5 0.5
42
+ region 2 cylinder z 0.0 0.0 2.00 -0.5 0.5
43
+ region 3 cylinder z 0.0 0.0 0.80 -0.5 0.5
44
+ boundary o o p
45
+ create_box ${xmin} ${xmax} ${ymin} ${ymax} -0.5 0.5
46
+ create_grid ${xncells} ${yncells} 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
47
+ balance_grid rcb cell
48
+ species gas.species Ar
49
+ mixture air Ar frac 1.0
50
+ mixture air Ar vstream ${vx} ${vy} 0.0 temp ${To}
51
+ collide vss air gas.vhs
52
+ collide_modify vremax 100 yes remain no nearcp yes 10
53
+ read_surf cylinder.surf
54
+ surf_collide 1 diffuse 273.0 1.0
55
+ surf_modify all collide 1
56
+ fix in emit/face air xlo ylo yhi
57
+ balance_grid rcb cell
58
+ create_particles air n 0
59
+ stats 10000
60
+ stats_style step cpu np nattempt ncoll nscoll npave nscollave
61
+ run 200000
62
+ compute 1 grid all air n nrho massrho u v w
63
+ compute 2 grid all air trot
64
+ compute 3 tvib/grid all air
65
+ compute 4 thermal/grid all air press temp
66
+ fix 1 ave/grid all 1 ${nave} ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
67
+ dump 1 grid all ${noutput} output/grid.*.dat id xc yc f_1[*]
68
+ dump_modify 1 format float %12.5g
69
+ compute 5 surf all air n press px py shx shy fx fy etot erot evib
70
+ fix 2 ave/surf all 1 ${nave} ${nave} c_5[*] ave running
71
+ dump 2 surf all ${noutput} output/surf.*.dat id v1x v1y v2x v2y f_2[*]
72
+ dump_modify 2 format float %12.5g
73
+ compute 6 lambda/grid f_1[2] f_1[8] Ar kx
74
+ dump 3 grid all ${noutput} output/lambdakn.*.dat id xc yc c_6[*]
75
+ dump_modify 3 format float %12.5g
76
+ run 100000
77
+ write_grid grid/final-grid.dat
78
+ write_surf surf/geom.surf
CylinderKnMa/Kn0p32/simulation0652_Kn0p32Ma2p1/cylinder.surf ADDED
@@ -0,0 +1,410 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ surf file from Pointwise
2
+
3
+ 200 points
4
+ 200 lines
5
+
6
+ Points
7
+
8
+ 1 0.5 0.0
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+ # Species data
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+ # molecular weight (atomic mass units, e.g. 16 for oxygen)
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+ # molecular mass (kg)
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+ # rotational degrees of freedom (integer, unitless)
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+ # inverse rotational relaxtion number (unitless)
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+ # vibrational degrees of freedom (integer, unitless)
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+ # inverse vibrational relaxation number (unitless)
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+ # vibrational temperature (K)
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+ # species weight (unitless)
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CylinderKnMa/Kn0p32/simulation0652_Kn0p32Ma2p1/gas.vhs ADDED
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+ # diameter (m)
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+ # tref (referenced temperature)
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AQAAAACAAADoHAAAPRoAAA==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AQAAAACAAADoHAAAggoAAA==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AQAAAACAAADoHAAA4BAAAA==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AQAAAACAAADoHAAA5AoAAA==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AQAAAACAAADoHAAAHgAAAA==eJztwQENAAAAwqD3T20ON6AAAAAAAAAAvgwc6AABAQAAAACAAADoHAAAHgAAAA==eJztwQENAAAAwqD3T20ON6AAAAAAAAAAvgwc6AABAQAAAACAAABQLgAANwkAAA==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AQAAAACAAACgcwAANxIAAA==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AQAAAACAAADoHAAA9wQAAA==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AQAAAACAAACdAwAAEQAAAA==eJzj5BwFo2AUDEoAANeOIIY=
34
+ </AppendedData>
35
+ </VTKFile>
CylinderKnMa/Kn0p32/simulation0652_Kn0p32Ma2p1/grid/final-grid.dat ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p32/simulation0652_Kn0p32Ma2p1/log.sparta ADDED
@@ -0,0 +1,318 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ SPARTA (4 Sep 2024)
2
+ Running on 128 MPI task(s)
3
+ variable BZ equal 1.380649E-23
4
+ variable PI equal 3.1415926536
5
+ variable molecular_mass equal 6.63E-26
6
+ variable molecular_diameter equal 4.17E-10
7
+ variable gamma equal 1.666666667
8
+ variable R equal ${BZ}/${molecular_mass}
9
+ variable R equal 1.380649e-23/${molecular_mass}
10
+ variable R equal 1.380649e-23/6.63e-26
11
+ variable L equal 1.0
12
+ variable xmin equal -5.0
13
+ variable xmax equal 6.0
14
+ variable ymin equal -5.0
15
+ variable ymax equal 5.0
16
+ variable Kn equal 0.32
17
+ variable Ma equal 2.1
18
+ variable To equal 273.0
19
+ variable Tb equal 273.0
20
+ variable theta equal 0.0
21
+ variable mfp equal ${Kn}*${L}
22
+ variable mfp equal 0.32*${L}
23
+ variable mfp equal 0.32*1
24
+ variable cpmfp equal 4
25
+ variable nden equal 1.0/sqrt(2.0)/${PI}/${molecular_diameter}/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
26
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/${molecular_diameter}/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
27
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
28
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(${mfp}/${cpmfp}*${Kn})
29
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.32/${cpmfp}*${Kn})
30
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.32/4*${Kn})
31
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.32/4*0.32)
32
+ variable sos equal sqrt(${gamma}*${R}*${To})
33
+ variable sos equal sqrt(1.666666667*${R}*${To})
34
+ variable sos equal sqrt(1.666666667*208.242684766214*${To})
35
+ variable sos equal sqrt(1.666666667*208.242684766214*273)
36
+ variable vo equal ${Ma}*${sos}
37
+ variable vo equal 2.1*${sos}
38
+ variable vo equal 2.1*307.815564238681
39
+ variable vx equal ${vo}*cos(${theta}*2*PI/360)
40
+ variable vx equal 646.41268490123*cos(${theta}*2*PI/360)
41
+ variable vx equal 646.41268490123*cos(0*2*PI/360)
42
+ variable vy equal ${vo}*sin(${theta}*2*PI/360)
43
+ variable vy equal 646.41268490123*sin(${theta}*2*PI/360)
44
+ variable vy equal 646.41268490123*sin(0*2*PI/360)
45
+ variable ppc equal 30
46
+ variable xncells equal (${xmax}-${xmin})/${mfp}*${cpmfp}
47
+ variable xncells equal (6-${xmin})/${mfp}*${cpmfp}
48
+ variable xncells equal (6--5)/${mfp}*${cpmfp}
49
+ variable xncells equal (6--5)/0.32*${cpmfp}
50
+ variable xncells equal (6--5)/0.32*4
51
+ variable yncells equal (${ymax}-${ymin})/${mfp}*${cpmfp}
52
+ variable yncells equal (5-${ymin})/${mfp}*${cpmfp}
53
+ variable yncells equal (5--5)/${mfp}*${cpmfp}
54
+ variable yncells equal (5--5)/0.32*${cpmfp}
55
+ variable yncells equal (5--5)/0.32*4
56
+ variable Fnum equal ${nden}*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
57
+ variable Fnum equal 5.05618614457681e+19*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
58
+ variable Fnum equal 5.05618614457681e+19*(6-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
59
+ variable Fnum equal 5.05618614457681e+19*(6--5)*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
60
+ variable Fnum equal 5.05618614457681e+19*(6--5)*(5-${ymin})/${ppc}/${xncells}/${yncells}
61
+ variable Fnum equal 5.05618614457681e+19*(6--5)*(5--5)/${ppc}/${xncells}/${yncells}
62
+ variable Fnum equal 5.05618614457681e+19*(6--5)*(5--5)/30/${xncells}/${yncells}
63
+ variable Fnum equal 5.05618614457681e+19*(6--5)*(5--5)/30/137.5/${yncells}
64
+ variable Fnum equal 5.05618614457681e+19*(6--5)*(5--5)/30/137.5/125
65
+ variable tstep equal (-${xmin}+${xmax})/${vx}/${xncells}/10/4
66
+ variable tstep equal (--5+${xmax})/${vx}/${xncells}/10/4
67
+ variable tstep equal (--5+6)/${vx}/${xncells}/10/4
68
+ variable tstep equal (--5+6)/646.41268490123/${xncells}/10/4
69
+ variable tstep equal (--5+6)/646.41268490123/137.5/10/4
70
+ variable nave equal 10000
71
+ variable noutput equal 300000
72
+ clear
73
+ Running on 128 MPI task(s)
74
+ shell mkdir output
75
+ shell mkdir grid
76
+ shell mkdir surf
77
+ seed 7
78
+ dimension 2
79
+ global nrho ${nden}
80
+ global nrho 5.05618614457681e+19
81
+ global fnum ${Fnum}
82
+ global fnum 1.07865304417639e+16
83
+ timestep ${tstep}
84
+ timestep 3.09399868956098e-06
85
+ global gridcut 1.0 particle/reorder 100 comm/sort yes
86
+ region 1 cylinder z 0.0 0.0 3.50 -0.5 0.5
87
+ region 2 cylinder z 0.0 0.0 2.00 -0.5 0.5
88
+ region 3 cylinder z 0.0 0.0 0.80 -0.5 0.5
89
+ boundary o o p
90
+ create_box ${xmin} ${xmax} ${ymin} ${ymax} -0.5 0.5
91
+ create_box -5 ${xmax} ${ymin} ${ymax} -0.5 0.5
92
+ create_box -5 6 ${ymin} ${ymax} -0.5 0.5
93
+ create_box -5 6 -5 ${ymax} -0.5 0.5
94
+ create_box -5 6 -5 5 -0.5 0.5
95
+ Created orthogonal box = (-5 -5 -0.5) to (6 5 0.5)
96
+ create_grid ${xncells} ${yncells} 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
97
+ create_grid 137.5 ${yncells} 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
98
+ create_grid 137.5 125 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
99
+ Created 75199 child grid cells
100
+ CPU time = 0.102446 secs
101
+ create/ghost percent = 1.07707 98.9229
102
+ balance_grid rcb cell
103
+ Balance grid migrated 75062 cells
104
+ CPU time = 0.0913007 secs
105
+ reassign/sort/migrate/ghost percent = 56.1764 0.0306898 8.84289 34.95
106
+ species gas.species Ar
107
+ mixture air Ar frac 1.0
108
+ mixture air Ar vstream ${vx} ${vy} 0.0 temp ${To}
109
+ mixture air Ar vstream 646.41268490123 ${vy} 0.0 temp ${To}
110
+ mixture air Ar vstream 646.41268490123 0 0.0 temp ${To}
111
+ mixture air Ar vstream 646.41268490123 0 0.0 temp 273
112
+ collide vss air gas.vhs
113
+ collide_modify vremax 100 yes remain no nearcp yes 10
114
+ read_surf cylinder.surf
115
+ 200 lines
116
+ -0.5 0.5 xlo xhi
117
+ -0.5 0.5 ylo yhi
118
+ 0 0 zlo zhi
119
+ 0.0157073 min line length
120
+ 400 0 = cells overlapping surfs, overlap cells with unmarked corner pts
121
+ 67183 7616 400 = cells outside/inside/overlapping surfs
122
+ 398 2 = surf cells with 1,2,etc splits
123
+ 109.215 109.215 = cell-wise and global flow volume
124
+ CPU time = 0.102009 secs
125
+ read/check/sort/surf2grid/ghost/inout/particle percent = 21.2644 21.8554 2.54605 23.0937 31.2405 6.07369 0.156485
126
+ surf2grid time = 0.0235577 secs
127
+ map/comm1/comm2/comm3/comm4/split percent = 13.7034 23.8807 4.89509 1.72664 15.3034 6.45224
128
+ surf_collide 1 diffuse 273.0 1.0
129
+ surf_modify all collide 1
130
+ fix in emit/face air xlo ylo yhi
131
+ balance_grid rcb cell
132
+ Balance grid migrated 1851 cells
133
+ CPU time = 0.0414359 secs
134
+ reassign/sort/migrate/ghost percent = 9.35794 0.0571002 19.4577 71.1273
135
+ create_particles air n 0
136
+ Created 511944 particles
137
+ CPU time = 0.0143629 secs
138
+ stats 10000
139
+ stats_style step cpu np nattempt ncoll nscoll npave nscollave
140
+ run 200000
141
+ Memory usage per proc in Mbytes:
142
+ particles (ave,min,max) = 1.7666 0 3.375
143
+ grid (ave,min,max) = 3.74182 1.51379 6.57629
144
+ surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
145
+ total (ave,min,max) = 5.52902 3.22189 8.28439
146
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
147
+ 0 0 511944 0 0 0 0 0
148
+ 10000 13.899082 545875 18622 15432 12 527088.36 9.7198
149
+ 20000 28.661434 554254 19182 15950 12 539429.72 9.73975
150
+ 30000 43.959179 554333 19154 15888 7 544861.76 9.7569333
151
+ 40000 58.618735 556707 19358 16083 12 547578.42 9.77225
152
+ 50000 73.605783 556041 19331 16037 12 549242.45 9.77564
153
+ 60000 88.18134 555664 19409 16073 13 550389.56 9.7787333
154
+ 70000 104.01698 555279 19401 16093 8 551181.21 9.7784
155
+ 80000 118.69 555188 19311 15898 7 551761.94 9.777575
156
+ 90000 133.59336 556577 19109 15810 9 552212.34 9.7778444
157
+ 100000 148.17944 556226 19332 15986 4 552600.31 9.78216
158
+ 110000 163.46025 555518 19258 15968 12 552948.15 9.7845545
159
+ 120000 178.71016 555696 19135 15884 7 553197.82 9.7832667
160
+ 130000 193.69568 555674 19223 15944 11 553399.06 9.7816
161
+ 140000 208.31715 556297 19424 16165 10 553577.74 9.7802429
162
+ 150000 223.508 555119 19138 15846 9 553759.14 9.7847133
163
+ 160000 238.7801 556099 19213 15905 12 553891.72 9.7814562
164
+ 170000 253.79953 556190 19398 15992 10 554020.97 9.7814882
165
+ 180000 268.41826 555083 19264 15911 12 554120.1 9.7837667
166
+ 190000 283.60203 555619 19358 15972 8 554217.18 9.7830474
167
+ 200000 298.90853 556478 19282 15923 18 554309.09 9.782685
168
+ Loop time of 298.909 on 128 procs for 200000 steps with 556478 particles
169
+
170
+ MPI task timing breakdown:
171
+ Section | min time | avg time | max time |%varavg| %total
172
+ ---------------------------------------------------------------
173
+ Move | 0.022757 | 13.851 | 69.83 | 449.9 | 4.63
174
+ Coll | 0.38732 | 18.683 | 113.66 | 534.0 | 6.25
175
+ Sort | 0.13195 | 2.4007 | 15.418 | 195.7 | 0.80
176
+ Comm | 51.34 | 87.619 | 97.92 | 95.3 | 29.31
177
+ Modify | 0.019062 | 0.13925 | 2.5346 | 99.7 | 0.05
178
+ Output | 0.0037186 | 0.013203 | 0.015056 | 1.8 | 0.00
179
+ Other | | 176.2 | | | 58.95
180
+
181
+ Particle moves = 110861817354 (111B)
182
+ Cells touched = 116520196641 (117B)
183
+ Particle comms = 238648072 (239M)
184
+ Boundary collides = 0 (0K)
185
+ Boundary exits = 24783760 (24.8M)
186
+ SurfColl checks = 71750096 (71.8M)
187
+ SurfColl occurs = 1956537 (1.96M)
188
+ Surf reactions = 0 (0K)
189
+ Collide attempts = 4176204563 (4.18B)
190
+ Collide occurs = 3199289706 (3.2B)
191
+ Reactions = 0 (0K)
192
+ Particles stuck = 0
193
+ Axisymm bad moves = 0
194
+
195
+ Particle-moves/CPUsec/proc: 2.89756e+06
196
+ Particle-moves/step: 554309
197
+ Cell-touches/particle/step: 1.05104
198
+ Particle comm iterations/step: 1
199
+ Particle fraction communicated: 0.00215266
200
+ Particle fraction colliding with boundary: 0
201
+ Particle fraction exiting boundary: 0.000223555
202
+ Surface-checks/particle/step: 0.000647203
203
+ Surface-collisions/particle/step: 1.76484e-05
204
+ Surf-reactions/particle/step: 0
205
+ Collision-attempts/particle/step: 0.0376704
206
+ Collisions/particle/step: 0.0288584
207
+ Reactions/particle/step: 0
208
+
209
+ Particles: 4347.48 ave 23202 max 0 min
210
+ Histogram: 75 17 10 2 4 6 4 6 2 2
211
+ Cells: 587.523 ave 590 max 587 min
212
+ Histogram: 64 0 0 62 0 0 1 0 0 1
213
+ GhostCell: 15207.6 ave 27995 max 833 min
214
+ Histogram: 21 9 12 10 17 3 6 4 16 30
215
+ EmptyCell: 127.156 ave 296 max 0 min
216
+ Histogram: 13 5 21 26 16 17 12 6 9 3
217
+ Surfs: 200 ave 200 max 200 min
218
+ Histogram: 128 0 0 0 0 0 0 0 0 0
219
+ GhostSurf: 0 ave 0 max 0 min
220
+ Histogram: 128 0 0 0 0 0 0 0 0 0
221
+ compute 1 grid all air n nrho massrho u v w
222
+ compute 2 grid all air trot
223
+ compute 3 tvib/grid all air
224
+ compute 4 thermal/grid all air press temp
225
+ fix 1 ave/grid all 1 ${nave} ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
226
+ fix 1 ave/grid all 1 10000 ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
227
+ fix 1 ave/grid all 1 10000 10000 c_1[*] c_4[*] c_2[*] c_3[*] ave running
228
+ dump 1 grid all ${noutput} output/grid.*.dat id xc yc f_1[*]
229
+ dump 1 grid all 300000 output/grid.*.dat id xc yc f_1[*]
230
+ dump_modify 1 format float %12.5g
231
+ compute 5 surf all air n press px py shx shy fx fy etot erot evib
232
+ fix 2 ave/surf all 1 ${nave} ${nave} c_5[*] ave running
233
+ fix 2 ave/surf all 1 10000 ${nave} c_5[*] ave running
234
+ fix 2 ave/surf all 1 10000 10000 c_5[*] ave running
235
+ dump 2 surf all ${noutput} output/surf.*.dat id v1x v1y v2x v2y f_2[*]
236
+ dump 2 surf all 300000 output/surf.*.dat id v1x v1y v2x v2y f_2[*]
237
+ dump_modify 2 format float %12.5g
238
+ compute 6 lambda/grid f_1[2] f_1[8] Ar kx
239
+ dump 3 grid all ${noutput} output/lambdakn.*.dat id xc yc c_6[*]
240
+ dump 3 grid all 300000 output/lambdakn.*.dat id xc yc c_6[*]
241
+ dump_modify 3 format float %12.5g
242
+ run 100000
243
+ Memory usage per proc in Mbytes:
244
+ particles (ave,min,max) = 1.79297 0 3.375
245
+ grid (ave,min,max) = 3.74182 1.51379 6.57629
246
+ surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
247
+ total (ave,min,max) = 5.75288 3.41911 8.48212
248
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
249
+ 200000 0 556478 19282 15923 0 0 0
250
+ 210000 24.75161 556206 19233 15889 8 556006.72 9.8399
251
+ 220000 50.204745 554830 19162 15853 15 555805.84 9.77965
252
+ 230000 74.982922 556341 19234 15837 6 555823.09 9.7980667
253
+ 240000 99.501964 555620 19292 16007 5 555805.35 9.796825
254
+ 250000 124.58148 556011 19212 15895 9 555779.34 9.80028
255
+ 260000 149.51672 555458 19051 15760 11 555753.83 9.7912333
256
+ 270000 176.451 555453 19374 16088 8 555713.13 9.7829714
257
+ 280000 201.00421 555948 19178 15797 9 555779.72 9.7905625
258
+ 290000 226.23566 555562 19354 16120 15 555844.56 9.7880667
259
+ 300000 251.38039 554881 19236 15895 10 555811.16 9.78422
260
+ Loop time of 251.381 on 128 procs for 100000 steps with 554881 particles
261
+
262
+ MPI task timing breakdown:
263
+ Section | min time | avg time | max time |%varavg| %total
264
+ ---------------------------------------------------------------
265
+ Move | 0.011858 | 6.9917 | 35.02 | 318.2 | 2.78
266
+ Coll | 0.19359 | 9.4425 | 58.452 | 381.7 | 3.76
267
+ Sort | 0.075305 | 1.2224 | 7.3174 | 138.2 | 0.49
268
+ Comm | 30.813 | 49.065 | 54.712 | 65.1 | 19.52
269
+ Modify | 2.6875 | 19.133 | 91.557 | 488.4 | 7.61
270
+ Output | 0.034611 | 0.03619 | 0.040096 | 0.6 | 0.01
271
+ Other | | 165.5 | | | 65.83
272
+
273
+ Particle moves = 55581115541 (55.6B)
274
+ Cells touched = 58415697661 (58.4B)
275
+ Particle comms = 119551176 (120M)
276
+ Boundary collides = 0 (0K)
277
+ Boundary exits = 12413580 (12.4M)
278
+ SurfColl checks = 35913734 (35.9M)
279
+ SurfColl occurs = 978422 (0.978M)
280
+ Surf reactions = 0 (0K)
281
+ Collide attempts = 2101744864 (2.1B)
282
+ Collide occurs = 1610093353 (1.61B)
283
+ Reactions = 0 (0K)
284
+ Particles stuck = 0
285
+ Axisymm bad moves = 0
286
+
287
+ Particle-moves/CPUsec/proc: 1.72737e+06
288
+ Particle-moves/step: 555811
289
+ Cell-touches/particle/step: 1.051
290
+ Particle comm iterations/step: 1
291
+ Particle fraction communicated: 0.00215093
292
+ Particle fraction colliding with boundary: 0
293
+ Particle fraction exiting boundary: 0.000223342
294
+ Surface-checks/particle/step: 0.00064615
295
+ Surface-collisions/particle/step: 1.76035e-05
296
+ Surf-reactions/particle/step: 0
297
+ Collision-attempts/particle/step: 0.037814
298
+ Collisions/particle/step: 0.0289684
299
+ Reactions/particle/step: 0
300
+
301
+ Particles: 4335.01 ave 22820 max 0 min
302
+ Histogram: 72 20 8 4 4 6 4 6 2 2
303
+ Cells: 587.523 ave 590 max 587 min
304
+ Histogram: 64 0 0 62 0 0 1 0 0 1
305
+ GhostCell: 15207.6 ave 27995 max 833 min
306
+ Histogram: 21 9 12 10 17 3 6 4 16 30
307
+ EmptyCell: 127.156 ave 296 max 0 min
308
+ Histogram: 13 5 21 26 16 17 12 6 9 3
309
+ Surfs: 200 ave 200 max 200 min
310
+ Histogram: 128 0 0 0 0 0 0 0 0 0
311
+ GhostSurf: 0 ave 0 max 0 min
312
+ Histogram: 128 0 0 0 0 0 0 0 0 0
313
+ write_grid grid/final-grid.dat
314
+ grid cells = 75199
315
+ CPU time = 0.0108331 secs
316
+ write_surf surf/geom.surf
317
+ surf elements = 200
318
+ CPU time = 0.00167388 secs
CylinderKnMa/Kn0p32/simulation0652_Kn0p32Ma2p1/mir.txt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ dimension 2
2
+ create_box -5.0 6.0 -5.0 5.0 -0.5 0.5
3
+ read_grid grid/final-grid.dat
CylinderKnMa/Kn0p32/simulation0652_Kn0p32Ma2p1/output/lambdakn.300000.dat ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p32/simulation0652_Kn0p32Ma2p1/output/surf.300000.dat ADDED
@@ -0,0 +1,209 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ITEM: TIMESTEP
2
+ 300000
3
+ ITEM: NUMBER OF SURFS
4
+ 200
5
+ ITEM: BOX BOUNDS oo oo pp
6
+ -5 6
7
+ -5 5
8
+ -0.5 0.5
9
+ ITEM: SURFS id v1x v1y v2x v2y f_2[1] f_2[2] f_2[3] f_2[4] f_2[5] f_2[6] f_2[7] f_2[8] f_2[9] f_2[10] f_2[11]
10
+ 1 0.5 0 0.49975 -0.015705 0.00588 0.052247 -0.05224 0.00082065 2.7374e-05 0.0017426 -0.00082012 4.0261e-05 1.6907 0 0
11
+ 129 -0.31871 0.38526 -0.30645 0.39508 0.0818 0.77361 0.48369 -0.60375 0.11171 0.089494 0.0093522 -0.0080776 52.176 0 0
12
+ 2 0.49975 -0.015705 0.49901 -0.031395 0.00595 0.053313 -0.053254 0.0025114 4.1026e-05 0.00086995 -0.00083583 5.3112e-05 1.6507 0 0
13
+ 130 -0.30645 0.39508 -0.29389 0.40451 0.07643 0.72264 0.43389 -0.57789 0.1109 0.083265 0.0085572 -0.0077692 53.904 0 0
14
+ 3 0.49901 -0.031395 0.49778 -0.047054 0.00575 0.051305 -0.051146 0.0040253 -5.7587e-05 -0.00073171 -0.00080428 5.1734e-05 2.0063 0 0
15
+ 131 -0.29389 0.40451 -0.28104 0.41354 0.07488 0.70619 0.40606 -0.57777 0.11359 0.079836 0.0081624 -0.0078211 53.201 0 0
16
+ 4 0.49778 -0.047054 0.49606 -0.062667 0.00575 0.052848 -0.052529 0.0057993 -0.00010687 -0.00096801 -0.00082677 7.5886e-05 1.4339 0 0
17
+ 132 -0.28104 0.41354 -0.26791 0.42216 0.07013 0.66029 0.36252 -0.55188 0.11248 0.073888 0.0074609 -0.0075079 46.885 0 0
18
+ 5 0.49606 -0.062667 0.49384 -0.078217 0.0057 0.052287 -0.051766 0.0073673 -6.7696e-05 -0.00047566 -0.00081416 0.00010825 1.1923 0 0
19
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152
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158
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162
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168
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169
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170
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171
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172
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173
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174
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175
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176
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180
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181
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182
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183
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184
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185
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186
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192
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194
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208
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209
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CylinderKnMa/Kn0p32/simulation0652_Kn0p32Ma2p1/runmpirun128.sh ADDED
@@ -0,0 +1,18 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #!/bin/bash
2
+ #SBATCH -J Cylinder——Kn
3
+ #SBATCH -p wzhcnormal
4
+ #SBATCH -N 2
5
+ #SBATCH --ntasks-per-node=64
6
+
7
+
8
+ module purge
9
+ module load compiler/devtoolset/7.3.1
10
+ module load mpi/hpcx/2.11.0/gcc-7.3.1
11
+ export UCX_WARN_UNUSED_ENV_VARS=n
12
+ /public/software/mpi/hpcx/v2.11.0/gcc-7.3.1/bin/mpirun -n 128 ../../../sep2024-sparta/src/spa_mpi <config.txt
13
+
14
+ /work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/grid2paraview.py mir.txt Grid -r ./output/grid.*.dat
15
+
16
+ /work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/grid2paraview.py mir.txt Lambda -r ./output/lambdakn.*.dat
17
+
18
+ /work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/surf2paraview.py ./surf/geom.surf Surf -r ./output/surf.*.dat
CylinderKnMa/Kn0p32/simulation0652_Kn0p32Ma2p1/runmpirun64.sh ADDED
@@ -0,0 +1,18 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #!/bin/bash
2
+ #SBATCH -J Cylinder——Kn
3
+ #SBATCH -p wzhcnormal
4
+ #SBATCH -N 1
5
+ #SBATCH --ntasks-per-node=64
6
+
7
+
8
+ module purge
9
+ module load compiler/devtoolset/7.3.1
10
+ module load mpi/hpcx/2.11.0/gcc-7.3.1
11
+ export UCX_WARN_UNUSED_ENV_VARS=n
12
+ /public/software/mpi/hpcx/v2.11.0/gcc-7.3.1/bin/mpirun -n 64 ../../../sep2024-sparta/src/spa_mpi <config.txt
13
+
14
+ /work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/grid2paraview.py mir.txt Grid -r ./output/grid.*.dat
15
+
16
+ /work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/grid2paraview.py mir.txt Lambda -r ./output/lambdakn.*.dat
17
+
18
+ /work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/surf2paraview.py ./surf/geom.surf Surf -r ./output/surf.*.dat
CylinderKnMa/Kn0p32/simulation0652_Kn0p32Ma2p1/slurm-28429506.out ADDED
@@ -0,0 +1,204 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ SPARTA (4 Sep 2024)
2
+ Running on 128 MPI task(s)
3
+ Running on 128 MPI task(s)
4
+ Created orthogonal box = (-5 -5 -0.5) to (6 5 0.5)
5
+ Created 75199 child grid cells
6
+ CPU time = 0.102446 secs
7
+ create/ghost percent = 1.07707 98.9229
8
+ Balance grid migrated 75062 cells
9
+ CPU time = 0.0913007 secs
10
+ reassign/sort/migrate/ghost percent = 56.1764 0.0306898 8.84289 34.95
11
+ Reading surface file ...
12
+ 200 lines
13
+ -0.5 0.5 xlo xhi
14
+ -0.5 0.5 ylo yhi
15
+ 0 0 zlo zhi
16
+ 0.0157073 min line length
17
+ 400 0 = cells overlapping surfs, overlap cells with unmarked corner pts
18
+ 67183 7616 400 = cells outside/inside/overlapping surfs
19
+ 398 2 = surf cells with 1,2,etc splits
20
+ 109.214731023047 109.214731023047 = cell-wise and global flow volume
21
+ CPU time = 0.102009 secs
22
+ read/check/sort/surf2grid/ghost/inout/particle percent = 21.2644 21.8554 2.54605 23.0937 31.2405 6.07369 0.156485
23
+ surf2grid time = 0.0235577 secs
24
+ map/comm1/comm2/comm3/comm4/split percent = 13.7034 23.8807 4.89509 1.72664 15.3034 6.45224
25
+ Balance grid migrated 1851 cells
26
+ CPU time = 0.0414359 secs
27
+ reassign/sort/migrate/ghost percent = 9.35794 0.0571002 19.4577 71.1273
28
+ Creating particles ...
29
+ Created 511944 particles
30
+ CPU time = 0.0143629 secs
31
+ Memory usage per proc in Mbytes:
32
+ particles (ave,min,max) = 1.7666 0 3.375
33
+ grid (ave,min,max) = 3.74182 1.51379 6.57629
34
+ surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
35
+ total (ave,min,max) = 5.52902 3.22189 8.28439
36
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
37
+ 0 0 511944 0 0 0 0 0
38
+ 10000 13.899082 545875 18622 15432 12 527088.36 9.7198
39
+ 20000 28.661434 554254 19182 15950 12 539429.72 9.73975
40
+ 30000 43.959179 554333 19154 15888 7 544861.76 9.7569333
41
+ 40000 58.618735 556707 19358 16083 12 547578.42 9.77225
42
+ 50000 73.605783 556041 19331 16037 12 549242.45 9.77564
43
+ 60000 88.18134 555664 19409 16073 13 550389.56 9.7787333
44
+ 70000 104.01698 555279 19401 16093 8 551181.21 9.7784
45
+ 80000 118.69 555188 19311 15898 7 551761.94 9.777575
46
+ 90000 133.59336 556577 19109 15810 9 552212.34 9.7778444
47
+ 100000 148.17944 556226 19332 15986 4 552600.31 9.78216
48
+ 110000 163.46025 555518 19258 15968 12 552948.15 9.7845545
49
+ 120000 178.71016 555696 19135 15884 7 553197.82 9.7832667
50
+ 130000 193.69568 555674 19223 15944 11 553399.06 9.7816
51
+ 140000 208.31715 556297 19424 16165 10 553577.74 9.7802429
52
+ 150000 223.508 555119 19138 15846 9 553759.14 9.7847133
53
+ 160000 238.7801 556099 19213 15905 12 553891.72 9.7814562
54
+ 170000 253.79953 556190 19398 15992 10 554020.97 9.7814882
55
+ 180000 268.41826 555083 19264 15911 12 554120.1 9.7837667
56
+ 190000 283.60203 555619 19358 15972 8 554217.18 9.7830474
57
+ 200000 298.90853 556478 19282 15923 18 554309.09 9.782685
58
+ Loop time of 298.909 on 128 procs for 200000 steps with 556478 particles
59
+
60
+ MPI task timing breakdown:
61
+ Section | min time | avg time | max time |%varavg| %total
62
+ ---------------------------------------------------------------
63
+ Move | 0.022757 | 13.851 | 69.83 | 449.9 | 4.63
64
+ Coll | 0.38732 | 18.683 | 113.66 | 534.0 | 6.25
65
+ Sort | 0.13195 | 2.4007 | 15.418 | 195.7 | 0.80
66
+ Comm | 51.34 | 87.619 | 97.92 | 95.3 | 29.31
67
+ Modify | 0.019062 | 0.13925 | 2.5346 | 99.7 | 0.05
68
+ Output | 0.0037186 | 0.013203 | 0.015056 | 1.8 | 0.00
69
+ Other | | 176.2 | | | 58.95
70
+
71
+ Particle moves = 110861817354 (111B)
72
+ Cells touched = 116520196641 (117B)
73
+ Particle comms = 238648072 (239M)
74
+ Boundary collides = 0 (0K)
75
+ Boundary exits = 24783760 (24.8M)
76
+ SurfColl checks = 71750096 (71.8M)
77
+ SurfColl occurs = 1956537 (1.96M)
78
+ Surf reactions = 0 (0K)
79
+ Collide attempts = 4176204563 (4.18B)
80
+ Collide occurs = 3199289706 (3.2B)
81
+ Gas reactions = 0 (0K)
82
+ Particles stuck = 0
83
+ Axisymm bad moves = 0
84
+
85
+ Particle-moves/CPUsec/proc: 2.89756e+06
86
+ Particle-moves/step: 554309
87
+ Cell-touches/particle/step: 1.05104
88
+ Particle comm iterations/step: 1
89
+ Particle fraction communicated: 0.00215266
90
+ Particle fraction colliding with boundary: 0
91
+ Particle fraction exiting boundary: 0.000223555
92
+ Surface-checks/particle/step: 0.000647203
93
+ Surface-collisions/particle/step: 1.76484e-05
94
+ Surface-reactions/particle/step: 0
95
+ Collision-attempts/particle/step: 0.0376704
96
+ Collisions/particle/step: 0.0288584
97
+ Gas-reactions/particle/step: 0
98
+
99
+ Particles: 4347.48 ave 23202 max 0 min
100
+ Histogram: 75 17 10 2 4 6 4 6 2 2
101
+ Cells: 587.523 ave 590 max 587 min
102
+ Histogram: 64 0 0 62 0 0 1 0 0 1
103
+ GhostCell: 15207.6 ave 27995 max 833 min
104
+ Histogram: 21 9 12 10 17 3 6 4 16 30
105
+ EmptyCell: 127.156 ave 296 max 0 min
106
+ Histogram: 13 5 21 26 16 17 12 6 9 3
107
+ Surfs: 200 ave 200 max 200 min
108
+ Histogram: 128 0 0 0 0 0 0 0 0 0
109
+ GhostSurf: 0 ave 0 max 0 min
110
+ Histogram: 128 0 0 0 0 0 0 0 0 0
111
+ Memory usage per proc in Mbytes:
112
+ particles (ave,min,max) = 1.79297 0 3.375
113
+ grid (ave,min,max) = 3.74182 1.51379 6.57629
114
+ surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
115
+ total (ave,min,max) = 5.75288 3.41911 8.48212
116
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
117
+ 200000 0 556478 19282 15923 0 0 0
118
+ 210000 24.75161 556206 19233 15889 8 556006.72 9.8399
119
+ 220000 50.204745 554830 19162 15853 15 555805.84 9.77965
120
+ 230000 74.982922 556341 19234 15837 6 555823.09 9.7980667
121
+ 240000 99.501964 555620 19292 16007 5 555805.35 9.796825
122
+ 250000 124.58148 556011 19212 15895 9 555779.34 9.80028
123
+ 260000 149.51672 555458 19051 15760 11 555753.83 9.7912333
124
+ 270000 176.451 555453 19374 16088 8 555713.13 9.7829714
125
+ 280000 201.00421 555948 19178 15797 9 555779.72 9.7905625
126
+ 290000 226.23566 555562 19354 16120 15 555844.56 9.7880667
127
+ 300000 251.38039 554881 19236 15895 10 555811.16 9.78422
128
+ Loop time of 251.381 on 128 procs for 100000 steps with 554881 particles
129
+
130
+ MPI task timing breakdown:
131
+ Section | min time | avg time | max time |%varavg| %total
132
+ ---------------------------------------------------------------
133
+ Move | 0.011858 | 6.9917 | 35.02 | 318.2 | 2.78
134
+ Coll | 0.19359 | 9.4425 | 58.452 | 381.7 | 3.76
135
+ Sort | 0.075305 | 1.2224 | 7.3174 | 138.2 | 0.49
136
+ Comm | 30.813 | 49.065 | 54.712 | 65.1 | 19.52
137
+ Modify | 2.6875 | 19.133 | 91.557 | 488.4 | 7.61
138
+ Output | 0.034611 | 0.03619 | 0.040096 | 0.6 | 0.01
139
+ Other | | 165.5 | | | 65.83
140
+
141
+ Particle moves = 55581115541 (55.6B)
142
+ Cells touched = 58415697661 (58.4B)
143
+ Particle comms = 119551176 (120M)
144
+ Boundary collides = 0 (0K)
145
+ Boundary exits = 12413580 (12.4M)
146
+ SurfColl checks = 35913734 (35.9M)
147
+ SurfColl occurs = 978422 (0.978M)
148
+ Surf reactions = 0 (0K)
149
+ Collide attempts = 2101744864 (2.1B)
150
+ Collide occurs = 1610093353 (1.61B)
151
+ Gas reactions = 0 (0K)
152
+ Particles stuck = 0
153
+ Axisymm bad moves = 0
154
+
155
+ Particle-moves/CPUsec/proc: 1.72737e+06
156
+ Particle-moves/step: 555811
157
+ Cell-touches/particle/step: 1.051
158
+ Particle comm iterations/step: 1
159
+ Particle fraction communicated: 0.00215093
160
+ Particle fraction colliding with boundary: 0
161
+ Particle fraction exiting boundary: 0.000223342
162
+ Surface-checks/particle/step: 0.00064615
163
+ Surface-collisions/particle/step: 1.76035e-05
164
+ Surface-reactions/particle/step: 0
165
+ Collision-attempts/particle/step: 0.037814
166
+ Collisions/particle/step: 0.0289684
167
+ Gas-reactions/particle/step: 0
168
+
169
+ Particles: 4335.01 ave 22820 max 0 min
170
+ Histogram: 72 20 8 4 4 6 4 6 2 2
171
+ Cells: 587.523 ave 590 max 587 min
172
+ Histogram: 64 0 0 62 0 0 1 0 0 1
173
+ GhostCell: 15207.6 ave 27995 max 833 min
174
+ Histogram: 21 9 12 10 17 3 6 4 16 30
175
+ EmptyCell: 127.156 ave 296 max 0 min
176
+ Histogram: 13 5 21 26 16 17 12 6 9 3
177
+ Surfs: 200 ave 200 max 200 min
178
+ Histogram: 128 0 0 0 0 0 0 0 0 0
179
+ GhostSurf: 0 ave 0 max 0 min
180
+ Histogram: 128 0 0 0 0 0 0 0 0 0
181
+ Writing grid file ...
182
+ grid cells = 75199
183
+ CPU time = 0.0108331 secs
184
+ Writing surface file ...
185
+ surf elements = 200
186
+ CPU time = 0.00167388 secs
187
+ Processing 4 grid chunk(s).
188
+ Completed grid chunk number: 3
189
+ Completed grid chunk number: 2
190
+ Completed grid chunk number: 1
191
+ Completed grid chunk number: 0
192
+
193
+ Done in 0:00:11 (wall clock time)
194
+
195
+ Processing 4 grid chunk(s).
196
+ Completed grid chunk number: 3
197
+ Completed grid chunk number: 2
198
+ Completed grid chunk number: 1
199
+ Completed grid chunk number: 0
200
+
201
+ Done in 0:00:10 (wall clock time)
202
+
203
+ Processing SPARTA surface information.
204
+ Processing dump result file: ['./output/surf.300000.dat']
CylinderKnMa/Kn0p32/simulation0652_Kn0p32Ma2p1/surf/Surf_300000.vtu ADDED
@@ -0,0 +1,38 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ <PointData>
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+ <CellData>
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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="f_2[1]" format="appended" RangeMin="0.00354" RangeMax="0.14293" offset="4512" />
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+ <DataArray type="Float64" Name="f_2[11]" format="appended" RangeMin="0" RangeMax="0" offset="23120" />
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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="23172" />
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+ </Points>
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+ <Cells>
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+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="24500" />
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+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="25404" />
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+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="25896" />
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+ </Cells>
33
+ </Piece>
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+ </UnstructuredGrid>
35
+ <AppendedData encoding="base64">
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AQAAAACAAABABgAAAAYAAA==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AQAAAACAAABABgAAHwYAAA==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AQAAAACAAABABgAALwYAAA==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AQAAAACAAABABgAAOAYAAA==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AQAAAACAAABABgAAMgYAAA==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AQAAAACAAABABgAAGgUAAA==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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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38
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eJzt2ytMw1AUgGEk63gzPWzR6Ca4YZmeRg8Lunoa7Kanq8GCnp4edmh6zwk7CTkQXsvpkv+aT/yma7O79d62X3XLxeX2eR9/5Olg9LDMzdvOtDe/Mel0Op3ezB71u/GapwPCv/r8lIZ5Up/dqttaSafT6XS/R8/f797fpdHCf/a6yGbjofm4TCfcpNPp9E3t0fPrR+UwiwzXrNy+d8wrGSadTqd/1qPnr+9aH3z9CTBKWa6tTL0s7ZV0Oj2uR88Pv1WW38o2Nsy0GpkPTPn7MDXp9Cb36O/PutT9+x3ccLdkmPo8hEn/ukdfv6ao+5mI6Kn7JbuI6KjrwnuI6KjrbYjoqesv+4joqOsXB4joqOt5iOg5GaYbdUT01PemENHzIj0O0TtEREd9XwkRPV/SY2cLRPSUbfTiCBEdZRtkhIiechsyR0TPMxnHiOhYynthiOiZ7kKyGSJ6vgFolywYAQAAAACAAADwYgAAujcAAA==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AQAAAACAAADwYgAAQTQAAA==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_AQAAAACAAADoHAAA+AQAAA==eJw111XUYGUZhuGbbuzupMOWHjqGtgO76bAFPrpnaGzFbukwt3TN0GC32E03+l+zT651r+f4XevbVePWK2b1v++2GQe7XbM7NLtTs7s0u1uzezS7V7P7NLtfswc068qZZgtptrBmi2i2qGaLaba4ZmtptrZm62i2rmbraba+ZhtoNkuzDTXbSLONNdtEs00120yzzTXbQrMtNdtKs9l6X72fZvtrNjQ7QLMDNTtIs4M1O0SzQzU7TLPDNTtCsyM1O0qzozU7RrM5ms3V7ALNLtTsIs0u1uwSzS7V7DLNLtfsCs2u1OwqzeZpNl+zqzW7RrNrNbtOs+s1u2HB/V0100vMONiSmi2l2dKaLaPZspotp9nymj1Ms4dr9gjNHqnZozR7tGaP0eyxmj1Os8drNluzrTXbRrNtNdtOs+0120GzHTV7mWYv1+wVmr1Ss1dp9mrNXqPZazV7nWav12wnPVcfq9lxmh2v2QmanajZSZqdrNkpmn1Us49p9nHNPqHZJzX7lGaf1uwzmn1Ws1M1u0GzGzW7SbObNfuxZj/R7Kea/Uyzn2v2C81+qdmvNPu1Zr/R7Lea/U6z32v2B81uWXB/82b6CTMO9kTNnqTZkzV7imZP1expmj1ds2do9kzNnqXZszV7jmbP1WwFzVbUbCXNVtZsJ83eoNkbNXuTZm/W7C2avVWzt2n2ds3eodk7NXuXZu/W7D2a7azZLprtqtlumu2uT9Wf0+zzmn1Bsy9q9iXNvqzZVzT7qmZf0+zrmn1Ds29q9i3Nvq3ZaZqdrtkZmp2p2S2a/VGzP2n2Z83+otlfNfubZn/X7B+a/VOzf2n2b83+o9l/NbtVs9s0u12zOzS7c8H9zZ/pVWYcbFXNVtNsdc3W0GxNzZ6n2fM1e4FmL9TsRZq9WLOXaPZSzdbSbG3N1tFsXc1212wPzfbUbC/N9tZsH83eq9n7NHu/Zh/Q7IOafUizD2v2Ec321Ww/zfbXfOhhP9PsAH2mPkuzszU7R7NzNTtPs/M1+45m39Xse5p9X7MfaPZDzSbNfqTZBZpdqNlFml2s2Z2a3aXZ3Zrdo9m9mt2n2f2aPaD50A/ZTLOFNFtYs0U0W1SzxTRbXLMlNFtSs6U0W1qvq9fTbH3NNtBslmYbaraRZhtrtolmm2q2mWaba7aFZltqtpVmszXbWrNtNNtWswM0O1CzgzQ7WLNDNDtUs8M0O1yzIzQ7UrOjNDtas2M0m6PZXM2O1ew4zY7X7AR9sb5Es0s1u0yzyzW7QrMrNbtKs3mazdfsas2u0exaza7T7HrNbtDsRs1u0uxmffOCe77m/87i4MQWt3NwYkvYOTixJe0cnNhSdg5ObGk7Bye2jJ2DE1vWzsGJLWfn4MSWt69g58RWtHNwYivZOTixle0cnNgqdg5ObFU7Bye2mp2DE1vdzsGJrWHn4MTWtHNsaWdb2Tk4sdl2Dk5sazsHJ7aNnYMT29bOwYltZ+fgxLa3c3BiO9g5OLEd7RycdrbvYufgxHa1c3Biu9k5OLHd7Ryc2B52Dk5sTzsHJ7aXnYMT29vOwYntY+fgxObYOTixuXYOTuxYOwcndpydgxM73s7BiZ1g5+DETrRzcGIn2Tk4sZPtHJzYKfbT7JzY6XYOTuwMOwcndqadgxM7y87BiZ1t5+DEzrFzcGLn2jk4sfPsHJzY+faHfBCa7ob3AQAAAACAAADoHAAAgQEAAA==eJzt0OkrwwEcB+A3c2yz2fbbfqNlmDcSycoxlI+i5OaFrbxgRbQIudtS2iRikqIk1wvH3jlWk2vJkFrmfGFIEgklvHAl/4YX3+dPeDj3fZHP/f4oOleY9GouJty2g9MzLp6cmohsIw+a5b2WjVA+ume1++ptPk5G70JmqwOgsjY3KAQC1HVyXAMLAqw1DQVxSoTgVatq2r6E0JYubD6NByIhdb14OFyES7vF5GkUwRybO8PbESFqnvFkBIlxqPJ+dhjEaBubjlhZE0PJGvLehBK4BuJaY/QS1HA/J6uWJJCYnftTPgxWfrrfvVoG5S0FStbGwO+FzSr8YTDY8Z1cny9F0sdWhW1SiquGXuvtqxRdj0UOZaYM0ZXBN7oRGY6vrvlDDzK06+bi3Skswo7qyvysLHZzEnvSr1nUun4XjWo5pGk7F3aLHKuOft+XMzk49ERP9ERP9ERP9ERP9ERP9ERP9ERP9ERP9ERP9ERP9ERP9ERP9ERP9PRvnv4AdCAHBw==AQAAAACAAADoHAAAtgAAAA==eJzt2KsWglAUhGGjgjeUbMZsZi2bVsk8BFa6maxVs5ls1kwmY9UsZ5/uvMC/y/cGs/ZMVq9O3WG4zfCv3ySvHh9UXs7uRihMg+ZapAEK2zK+71pU9iHVJ1WIwrWLqWSMwtfTHSqPFlQTFLqUKuMpCu3drFFpMZXPUDiwm6PQ9zxU3goX6Kj0fRiVeyswEQr9boDKt6t5HSr9vrJAob1RFSr9DoXKjd0ShX6vQ6Wt5A0qf9Hozjg=AQAAAACAAADoHAAAkRkAAA==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AQAAAACAAADoHAAAIhYAAA==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AQAAAACAAABQLgAANwkAAA==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AQAAAACAAACgcwAANxIAAA==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AQAAAACAAADoHAAA9wQAAA==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AQAAAACAAACdAwAAEQAAAA==eJzj5BwFo2AUDEoAANeOIIY=
26
+ </AppendedData>
27
+ </VTKFile>
CylinderKnMa/Kn0p32/simulation0653_Kn0p32Ma2p2/Surf.pvd ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="Collection" version="0.1"
3
+ byte_order="LittleEndian"
4
+ compressor="vtkZLibDataCompressor">
5
+ <Collection>
6
+ <DataSet timestep="300000" group="" part="0"
7
+ file="Surf/Surf_300000.vtu"/>
8
+ </Collection>
9
+ </VTKFile>
CylinderKnMa/Kn0p32/simulation0653_Kn0p32Ma2p2/config.txt ADDED
@@ -0,0 +1,78 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ variable BZ equal 1.380649E-23
2
+ variable PI equal 3.1415926536
3
+ variable molecular_mass equal 6.63E-26
4
+ variable molecular_diameter equal 4.17E-10
5
+ variable gamma equal 1.666666667
6
+ variable R equal ${BZ}/${molecular_mass}
7
+ variable L equal 1.0
8
+ variable xmin equal -5.0
9
+ variable xmax equal 6.0
10
+ variable ymin equal -5.0
11
+ variable ymax equal 5.0
12
+ variable Kn equal 0.32
13
+ variable Ma equal 2.2
14
+ variable To equal 273.0
15
+ variable Tb equal 273.0
16
+ variable theta equal 0.0
17
+ variable mfp equal ${Kn}*${L}
18
+ variable cpmfp equal 4
19
+ variable nden equal 1.0/sqrt(2.0)/${PI}/${molecular_diameter}/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
20
+ variable sos equal sqrt(${gamma}*${R}*${To})
21
+ variable vo equal ${Ma}*${sos}
22
+ variable vx equal ${vo}*cos(${theta}*2*PI/360)
23
+ variable vy equal ${vo}*sin(${theta}*2*PI/360)
24
+ variable ppc equal 30
25
+ variable xncells equal (${xmax}-${xmin})/${mfp}*${cpmfp}
26
+ variable yncells equal (${ymax}-${ymin})/${mfp}*${cpmfp}
27
+ variable Fnum equal ${nden}*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
28
+ variable tstep equal (-${xmin}+${xmax})/${vx}/${xncells}/10/4
29
+ variable nave equal 10000
30
+ variable noutput equal 300000
31
+ clear
32
+ shell mkdir output
33
+ shell mkdir grid
34
+ shell mkdir surf
35
+ seed 7
36
+ dimension 2
37
+ global nrho ${nden}
38
+ global fnum ${Fnum}
39
+ timestep ${tstep}
40
+ global gridcut 1.0 particle/reorder 100 comm/sort yes
41
+ region 1 cylinder z 0.0 0.0 3.50 -0.5 0.5
42
+ region 2 cylinder z 0.0 0.0 2.00 -0.5 0.5
43
+ region 3 cylinder z 0.0 0.0 0.80 -0.5 0.5
44
+ boundary o o p
45
+ create_box ${xmin} ${xmax} ${ymin} ${ymax} -0.5 0.5
46
+ create_grid ${xncells} ${yncells} 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
47
+ balance_grid rcb cell
48
+ species gas.species Ar
49
+ mixture air Ar frac 1.0
50
+ mixture air Ar vstream ${vx} ${vy} 0.0 temp ${To}
51
+ collide vss air gas.vhs
52
+ collide_modify vremax 100 yes remain no nearcp yes 10
53
+ read_surf cylinder.surf
54
+ surf_collide 1 diffuse 273.0 1.0
55
+ surf_modify all collide 1
56
+ fix in emit/face air xlo ylo yhi
57
+ balance_grid rcb cell
58
+ create_particles air n 0
59
+ stats 10000
60
+ stats_style step cpu np nattempt ncoll nscoll npave nscollave
61
+ run 200000
62
+ compute 1 grid all air n nrho massrho u v w
63
+ compute 2 grid all air trot
64
+ compute 3 tvib/grid all air
65
+ compute 4 thermal/grid all air press temp
66
+ fix 1 ave/grid all 1 ${nave} ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
67
+ dump 1 grid all ${noutput} output/grid.*.dat id xc yc f_1[*]
68
+ dump_modify 1 format float %12.5g
69
+ compute 5 surf all air n press px py shx shy fx fy etot erot evib
70
+ fix 2 ave/surf all 1 ${nave} ${nave} c_5[*] ave running
71
+ dump 2 surf all ${noutput} output/surf.*.dat id v1x v1y v2x v2y f_2[*]
72
+ dump_modify 2 format float %12.5g
73
+ compute 6 lambda/grid f_1[2] f_1[8] Ar kx
74
+ dump 3 grid all ${noutput} output/lambdakn.*.dat id xc yc c_6[*]
75
+ dump_modify 3 format float %12.5g
76
+ run 100000
77
+ write_grid grid/final-grid.dat
78
+ write_surf surf/geom.surf
CylinderKnMa/Kn0p32/simulation0653_Kn0p32Ma2p2/cylinder.surf ADDED
@@ -0,0 +1,410 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ surf file from Pointwise
2
+
3
+ 200 points
4
+ 200 lines
5
+
6
+ Points
7
+
8
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CylinderKnMa/Kn0p32/simulation0653_Kn0p32Ma2p2/gas.species ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Species data
2
+
3
+ # species name
4
+ # molecular weight (atomic mass units, e.g. 16 for oxygen)
5
+ # molecular mass (kg)
6
+ # rotational degrees of freedom (integer, unitless)
7
+ # inverse rotational relaxtion number (unitless)
8
+ # vibrational degrees of freedom (integer, unitless)
9
+ # inverse vibrational relaxation number (unitless)
10
+ # vibrational temperature (K)
11
+ # species weight (unitless)
12
+ # multiple of electon charge (1 for a proton)
13
+
14
+ Ar 39.95 6.63E-26 0 0.0 0 0.0 0.0 1.0 0.0