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T0NGXU commited on Dec 29, 2025

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CylinderKnMa/Kn0p20/simulation0382_Kn0p20Ma5p1/Lambda/Lambda_0_300000.vtu +0 -0
CylinderKnMa/Kn0p20/simulation0382_Kn0p20Ma5p1/Lambda/Lambda_1_300000.vtu +0 -0
CylinderKnMa/Kn0p20/simulation0382_Kn0p20Ma5p1/Lambda/Lambda_2_300000.vtu +27 -0
CylinderKnMa/Kn0p20/simulation0382_Kn0p20Ma5p1/Lambda/Lambda_300000.pvtu +23 -0
CylinderKnMa/Kn0p20/simulation0382_Kn0p20Ma5p1/Lambda/Lambda_3_300000.vtu +0 -0
CylinderKnMa/Kn0p20/simulation0382_Kn0p20Ma5p1/Lambda/Lambda_4_300000.vtu +0 -0
CylinderKnMa/Kn0p20/simulation0382_Kn0p20Ma5p1/Lambda/Lambda_5_300000.vtu +27 -0
CylinderKnMa/Kn0p20/simulation0382_Kn0p20Ma5p1/Surf.pvd +9 -0
CylinderKnMa/Kn0p20/simulation0382_Kn0p20Ma5p1/grid/Grid_0_300000.vtu +0 -0
CylinderKnMa/Kn0p20/simulation0382_Kn0p20Ma5p1/grid/Grid_1_300000.vtu +0 -0
CylinderKnMa/Kn0p20/simulation0382_Kn0p20Ma5p1/grid/Grid_2_300000.vtu +0 -0
CylinderKnMa/Kn0p20/simulation0382_Kn0p20Ma5p1/grid/Grid_300000.pvtu +31 -0
CylinderKnMa/Kn0p20/simulation0382_Kn0p20Ma5p1/grid/Grid_3_300000.vtu +0 -0
CylinderKnMa/Kn0p20/simulation0382_Kn0p20Ma5p1/grid/Grid_4_300000.vtu +0 -0
CylinderKnMa/Kn0p20/simulation0382_Kn0p20Ma5p1/grid/Grid_5_300000.vtu +0 -0
CylinderKnMa/Kn0p20/simulation0382_Kn0p20Ma5p1/grid/final-grid.dat +0 -0
CylinderKnMa/Kn0p20/simulation0382_Kn0p20Ma5p1/output/surf.300000.dat +209 -0
CylinderKnMa/Kn0p20/simulation0382_Kn0p20Ma5p1/runmpirun128.sh +18 -0
CylinderKnMa/Kn0p20/simulation0382_Kn0p20Ma5p1/runmpirun64.sh +18 -0
CylinderKnMa/Kn0p20/simulation0382_Kn0p20Ma5p1/slurm-28428681.out +208 -0
CylinderKnMa/Kn0p20/simulation0382_Kn0p20Ma5p1/surf/Surf_300000.vtu +38 -0
CylinderKnMa/Kn0p20/simulation0382_Kn0p20Ma5p1/surf/geom.surf +610 -0
CylinderKnMa/Kn0p20/simulation0383_Kn0p20Ma5p2/Grid.pvd +9 -0
CylinderKnMa/Kn0p20/simulation0383_Kn0p20Ma5p2/Lambda.pvd +9 -0
CylinderKnMa/Kn0p20/simulation0383_Kn0p20Ma5p2/Lambda/Lambda_0_300000.vtu +0 -0
CylinderKnMa/Kn0p20/simulation0383_Kn0p20Ma5p2/Lambda/Lambda_1_300000.vtu +0 -0
CylinderKnMa/Kn0p20/simulation0383_Kn0p20Ma5p2/Lambda/Lambda_2_300000.vtu +27 -0
CylinderKnMa/Kn0p20/simulation0383_Kn0p20Ma5p2/Lambda/Lambda_300000.pvtu +23 -0
CylinderKnMa/Kn0p20/simulation0383_Kn0p20Ma5p2/Lambda/Lambda_3_300000.vtu +0 -0
CylinderKnMa/Kn0p20/simulation0383_Kn0p20Ma5p2/Lambda/Lambda_4_300000.vtu +0 -0
CylinderKnMa/Kn0p20/simulation0383_Kn0p20Ma5p2/Lambda/Lambda_5_300000.vtu +27 -0
CylinderKnMa/Kn0p20/simulation0383_Kn0p20Ma5p2/Surf.pvd +9 -0
CylinderKnMa/Kn0p20/simulation0383_Kn0p20Ma5p2/config.txt +78 -0
CylinderKnMa/Kn0p20/simulation0383_Kn0p20Ma5p2/cylinder.surf +410 -0
CylinderKnMa/Kn0p20/simulation0383_Kn0p20Ma5p2/gas.species +14 -0
CylinderKnMa/Kn0p20/simulation0383_Kn0p20Ma5p2/gas.vhs +9 -0
CylinderKnMa/Kn0p20/simulation0383_Kn0p20Ma5p2/grid/Grid_0_300000.vtu +0 -0
CylinderKnMa/Kn0p20/simulation0383_Kn0p20Ma5p2/grid/Grid_1_300000.vtu +0 -0
CylinderKnMa/Kn0p20/simulation0383_Kn0p20Ma5p2/grid/Grid_2_300000.vtu +0 -0
CylinderKnMa/Kn0p20/simulation0383_Kn0p20Ma5p2/grid/Grid_300000.pvtu +31 -0
CylinderKnMa/Kn0p20/simulation0383_Kn0p20Ma5p2/grid/Grid_3_300000.vtu +0 -0
CylinderKnMa/Kn0p20/simulation0383_Kn0p20Ma5p2/grid/Grid_4_300000.vtu +0 -0
CylinderKnMa/Kn0p20/simulation0383_Kn0p20Ma5p2/grid/Grid_5_300000.vtu +0 -0
CylinderKnMa/Kn0p20/simulation0383_Kn0p20Ma5p2/grid/final-grid.dat +0 -0
CylinderKnMa/Kn0p20/simulation0383_Kn0p20Ma5p2/log.sparta +318 -0
CylinderKnMa/Kn0p20/simulation0383_Kn0p20Ma5p2/mir.txt +3 -0
CylinderKnMa/Kn0p20/simulation0383_Kn0p20Ma5p2/output/surf.300000.dat +209 -0
CylinderKnMa/Kn0p20/simulation0383_Kn0p20Ma5p2/runmpirun128.sh +18 -0
CylinderKnMa/Kn0p20/simulation0383_Kn0p20Ma5p2/runmpirun64.sh +18 -0
CylinderKnMa/Kn0p20/simulation0383_Kn0p20Ma5p2/slurm-28428682.out +208 -0

CylinderKnMa/Kn0p20/simulation0382_Kn0p20Ma5p1/Lambda/Lambda_0_300000.vtu ADDED Viewed

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CylinderKnMa/Kn0p20/simulation0382_Kn0p20Ma5p1/Lambda/Lambda_1_300000.vtu ADDED Viewed

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CylinderKnMa/Kn0p20/simulation0382_Kn0p20Ma5p1/Lambda/Lambda_2_300000.vtu ADDED Viewed

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AQAAAACAAACAPgAADSsAAA==eJxtW1OAJM3SXdu2bXv3rG3btm3btm3vjppjtKequqd71rb9R+Tk/frlvy9995uZrqrMyIijKr39+ahcURHIfa7a7WyPw5E9f+8PrZ+acXjvl+HlyhowrkHD/IVKh+D9qoie+rOBmKx7tia7IQB/1nx2xy8LwJBSN58MXB+AiddbN255IgDn1oydmfZaAFrqivc8pwbAHXLddjJXIDaneZ+nbddANEgz8sqcJYH41+SRYdnWQBy5akoZeToQan/+pkB8mr3SvjxvEKJWDnn5rFMQ3q9PXFJRNaPYrXU7fhU2YHNy9VVC0RDsrGb/euViIJ6Pr/h1T0IAnLviPja6G4BQz62VCy0BCB4/ylD1SwD2XxtLTxAI0862x/d0C0SfAddCXh8OhD3n7rlN1UBYn2cZPiZDEBJXNk9VqHkQOsyemOrhrCBMK1Yq415dEFI921juTeZglGy/YEXVjsE4v7xbu0NLgzG63dL9/W8H41nhM8/bVglBjxLrBre+Fgh6+JqrYgPgy63/1/t6AHJM+FA+WWgAsjUdn7PstwBYoTevLxCIRtVfmbt2DkSGEEfcgfWBMHTklQrEvOimo37/CkSN/m165WwZhLUdNjc8tSIIu5/pE/oFBKHLrPCYqSmDMeHI5rBMPYNxNaLAl2ybgjFpa7vWsYZgNChSs2v+f8FId7FQ/5ENQ3Ar96+otxEBUGO/9Xh0KgAjm36d/y0sALXTpnv6/EMAxo/nlQ/EjZhNL9J3CMTLJsnOdToYiA5X6x384QzEn6+zEg9mD0LynHdn1e0ShCVq43l9zwZBS3lJt9UZhN6B2+Y9zhqMMzOv/o0bFoyHRToUvX80GL8aTI1dawvGYnFDIai2bMCcTz1DcLF+02pttoRg8NJFM19GhqD59aXpPfcDYB/f1jPiRQDSxubvphUMxONchSOeIBDH3B0KnJhF+5xz3vaZMYGYtSNfqt5ZgnDu64u50U3pPort2HhwVRByRVW+tNpE9xfY51LH70H41jBX6p8tg+GJXzaj9U7/+mz8VPdYtuQh2JZ1fp0LTULwqv6LRY8mhOCJsz5VZggOv9x64EEanVwXHd6H7HqtpAtEnvGdPm3uEYiKndo3u7MnELlKJGY77whEluBq+yrkC8LY50cSh7fy34+ZqnrgA/r309DPK0vTOtDTjpkXjAyf1zVqdz8Ytz/9ccx9EYwZ9yuVqUP1HHFhRqbwwSGYNj2kRbejIQgbkabCI18IeFVa5NVh4d3Hd3s00IH/65iBOjyvNoSWUIe943716b0/EOVLGCt4w/31kyfngS0TWgShUVD33cU3B6Hvs3xbg7x0X08faV2r031kn5qu1/hgVAsomzXjrWBkSlFxTR41GCFtx0bdyxWCNMt2tdgwMQTdP74slPJ6CMqEHbLpf4bA9a9+9B66n+3IN/dtYx0yT7u4wT1WhwKrt6wtv02HqOCKy/9d0qHluCnUMnQoGZzzxuBMQXCm6vYteVu6frGr08duC8KvbSVqXHzovx9vivTri44Ihtimw8Gol2176o6JwSj+pKyzSWH/Pu2pP4geLQTidmND8BQnfcFZdPjUc40nU10datRrP/jQCB1Gi4LQIU+nMWVXnNBhSPmobGH3dWjIZen9333pcbVYTN9ah4IwuMrDhtVfBcF16fAOb13/Ob9bZNWrbneDsaNB8k4rM4fgRcW2NfN0CkGNLb/1uhkh6F0x5+JzR0Jw9lH1lLs+hODRpuiSS6rp8I3Lc5QOA3aqVBE6nJzaOEM83UdCprqJn4w6rF3V3x74iNbrWCsqBR1a29WIxHJ6ZBeNRI8iD24mthqiR6XAqFYLywajdN9Csb9pv4yHZ3+fcD0Y+Wk3/3ygPiAKJATzH2dNc3hBCL4c/Bz84VaIrFsd6FA03t1Eh4ADZxo8Hq2DvdrClh3X6TDj+KBVO4/oQE2aTrIO93o06PvvmQ45vvX9aUmth3K73I1mZfS4H3Syev82ehw08cbpcWXfQmoVdH+m2FwNrugRMqrzHrMpGOLyWf3nijaBOk0ISlwY0LhsUAjmHjxe8t7vECiZ3XlG1dGh8lxrn610P007VR7waoMOlsUn12a6oMO2xdw5dJhk/nt9wUf/PtXZMeX2vep62Yf02Ljy9sEO0/RIe7s9dSo9jF/KDdxi0ONIo0qO/U/1KH+5wq/L6QwIKswLGYKlFdVr2deGANzePCEQ7a2QDurOirTCOiQNDh0Ol585eMQeHfbP4RvWYVmTbWXbxeuwzz6q+rUfOtkP/ffTuRxPOj16L7p8e/gSPdp1ePIm3Rk9BhZr9mFEtB5tz1xeSL0bf8twxzBgcb7ijbR6BqTi9jDIAO+09ZsffwzB6bvnXweU0CH1ie1UaTp4yhe++G+GTvYbHdrR9Kp0R4dDqxq/eU/3E/og+srTZHpc5/FWSI/D786Edqirx7GV+24vGaXHe/7nOj1SLirRZftlPU7M6lm7mUOPh33z3rEmM8i6MmDr6Er7YzsbsGbShhoFRxrg7lo91rfSgE9PUittzhiQ7FH+Wp+76HBnOHd+HUxzhrs2HNNBtBezDrTYNAGpX9J0a5hLj+VnfyU7WUePme8ebH/UWY/RQfki182mdco4+HPuk3r8WLHsmdeoBxXFlIVv9OBuVo/WZXPfDV2SVzMgP/127u4GaHQa5s0yYL4hR9ZyBwxYkXdR6nGhBtSKH3fy1EcDDjdr8S9VXiOyb3pbbPZpHXpVq3Aup0WHTsEqdVwdDj5Is3BxPj02X2l8o1RTPXJo06uYe+lRYUqbepXn6nF7zO5UZ8/pMenZr3MfbHpEWx99q/NHj2yzii51lDFgyN6OuTe2N6BPmd/dMcWA3el5UBvQ0DBOvyHYgBTL68//7TXgc5ep146nMeLBIG4gRuRucOVah55GuH8sHh840whn8brGzN91ck7o5VzX482+0snHj9ej0O3KkRO36jGbqupUkB7dyx5dd/WBHm+H9BvXPYMBt07PCyvfwADbr9D4w/0MaDT6aI2/iwxIP6n+nofnDZicd/+rWja6XzFQDbi39p3pIq1L1+TVaImMaLPF5/48xggq1sbD1hnRaMKdQWMvG7Gg83zfd82IEgUSmr3uqEdEP8Wehep3fb+qq6cf1yNDh0ZHJ0bqUfNM1PDhn/T/4a8DvN1tDRh2+g3doQG7lk+uOm6jAYfildLn7xgQeGO2e9VTA7qdGp31ZgojBt9vR6PFiJfX9yoLBxpR32WeVGupEf927Spz6qgRu7LwRDFi0cCCFUJ/GNHz0akDpmIm7F39oOTw9iaIMXxTD5+xNE8giDFG+9Twd+1+J4oY5Jw3oKuvBt2pAR/iR26av9aAtfFfMs42GpDL0lJ5/9mASTNGUCkZMbPZoqiDVYz4Na/HtgwjjAhK9uu5Y5cRi5N1P1DvnhEpr8cHwGuE5e5UQoAm/KUpXaa6CXk/HCJEbILjTvSL63tNEOPCbIKAP2kMWLc3R7vPNQw4VvlZ94G9DDBH/MnSapkBZ/tE1jBdMyCf2DADig2Or6pkNuJCnLP366pGBHN77WWU/dso8bMR38/vooozYnkhRrpGTKnQfdjE4ibUFQDBJHGjCb83Zkzb/LoJtAmubk4TBlNX7/nLBEbHtcqb5dwwwLX1bphtjQG0KS160z5Fz6++M+cbA2gI08QyoiGPty5GpGg76eHjxUZkG8QrasRD2oVSVto/Hme/jWgycDq1JhOKC6BoAhXn9qglJjCavXnBhKlzXJMDLCaciE6zb+RjE2qtip3wOocZg8QBMUOg/z5mLEtl3lJ9jhmL+6T6NyDCAAEjklGduvLSShkhvobqRV+fkbcRyQo/jcp41Yg71PV7qUZkWPohU4GfRkKI3gu9y5hQtjojXv+6BCzWT1Zum3Ccx6uDfi4KxYS3jfkBzHKOmFH++dftoWPNqPtH3ZJrmxmj8nOHNGMFl7XLjAI/y97t282/Lmt+fEzx+gTVabKNYywWI3IxLH1sxIiDIelXpTNhGy9zFRNmtt75Nc0QEx5TV1G3mHC0LjMsE+pc7bXc/MAk574Je856CygVzFgQ9OtR0HgzxNcdMINAH5WaGQJmvDPj3dNzWe7lD5X9OhTiOK4PxeG0c8a8uW3ENicDFyPqikZqQr5djvRjS5gkbjVBtK3lJvR9mHxUj8smOUdMKPT+x7CV7+m+h+WeMrKIGdaocrsH9DdDwK4tZlTdsC4m7BbVkeCJZohj4jNL3B+KhAUMTENRvOjnib0XhULQxSuhIJCT7oE1FNFL2oYsonoRtKuRCfM3DTo+f4IJYnnoHK35m75Kb9ofz9hkU6gmEBe0hhiPGe0YhlKd5Pl60zhkhxneRtxJ/df/nW9GfI6PZpzN92xK8+KhqJW9DkHdUMmHQiHKNyoUmdctqLToeSjG8LKlCcOgmj9GHygYhmZt8xAlCUOvTtzxTdgytf/741dMmLFqDrdQZFiVrt5K2pdvVB2Fe5nR8U/gubarzEjX+ECvIxfMEG36hRmHuGvnDYWgH41DMfDpzH4dJ4aiAsOIs6Hy3Idiek3P0risYVjJ4690GLYSWm5ZNQyOilxxYTh2r3PJyrvCIG7PHobSAhiF4UdQpyVfS5qxmrdrpFnyCzNytkxIW4z2ZUftl8ULJJhxcH3PfAPShYLA7mNn/VC8izA2vzQuFKfaiQpHHqaBxlAMfWIp4f4RCs+hW+4qtcJAoImQUxhoE4YWWB0Gc69RRF3DwGg68VMY1r28tOxSjnA0EAQ4HCtW84aFY0Guy20ezA9HDZoqaXfS/RVLWzr6phmvuzFiNqP2rYmXquYIhWiTXUOR3beOJkuonBN0/fsMSEPR53VVYiBhaHd/9MeYOmEYIxpUGPr23r9z+eQwPArbG7B7axi+lmw1sq85DJ1oKr9MRdfn9lUhHLRphODDkUsAuHC87njsU4GAcJj6L6QWEY4DKVPN+PzdjBaRXc4vahAq+2EoDnZdu7QF7Q+z4QXOUPTybqYKCEXfGUuHbi4SBkG3aF+s87hgwzD9R9YXd66EYZYQIMLwofXTbcgXjrhcPPDDcXw4N4Bw5BUDIhx3eUwo4Uhx5y2d3AjJVyOQSxDZCLRIVaj5rv0RIDK6puupUFhu9PtyT6P6uXhWXytTGNaHX11ft4a/PsrTqcy8Lgwj7p1yUiuH4cSmkq6HYXjeqVWFjZXDIWhjl3BMK5g5sfLWcEwRgk04xFhIFYEJAtBGIJLHUpMIXM5RKcuYxRHYwPLKNfrvXC7eCDlfI1Bo4bAavapFIosAgmGYNyhkaN2JVI+deXLQugw8s213ZBh+3q3TcyPViWH1GZp04ZhF3WvS5HDQlxGyDUeRgsvmDgoJl+c7Qva7COwnlHqqXQR6Tsk8cdfQCFRJVb/csNMRSGzPAkwECDwR04/EkaKt022pE4lzDCunRUK0o2ORiD3FgDkSh5aWoUuHSVzvr1eH4/qt4LbhUmcKl/wvXJ7vcBTnY9Q4AtwVa42IkDgsAjwVZoVHSDwYgZtFmVlH4iqB7UKNI2X9RMKQt0yP1Ccise8wC1iRKBq/ev20v/R7WzoP+lEpCuKxh0ahz9w9G753DkeHmCJjU68Oh21jK2J64bL/h0vcHIEjTOtaR0Dd1/xZ7dkREPB4XwRu0FOMjYpAvqFFD93/GCFxWCSYrVUbEom/o749HkbrkXSeItG69KwU+9NFoeSn8KKZGkXhNy/b9ChUPPn7pHYmCrkFoI/Cse/Vn14uHY2f1P3HPgqXPCICYqwhAncyxswqMC4CF56d/LbpSgTqioYegVJvr30+ltG/Lx1PZ6BLRqJVQIbyOBeJZw023ezpjYSgQamj8Jz/vHEUioc3S19zUhROdW6ac5gxCveY7nyPwmxRsNHYsqlp4OUh0Shcb0zLcVOiJQ+LRhLwiQCBYaKitE/72vwdmhiB5ZHfv+XPGwnRNupG4nE7W+0dUyJl341EjYhwQrSRcLTlO4nCm5FTdwY2iMLJxyz0REHA99NRYPZV1BYFAsM1O6SIBqt2I0pGo8z5O2lut4+WfS5a4ptoDPrb4uebV9FYw/C0VAymLmQkHwnLm9KbrA0iUfd02UoflkZib17esEgENQhb+vpLJDI9aUkrFCX7bRR2X89EkCcKkbm9T0oER2HtiEGe1imjJR+NBt9t2NJoiTOjwd3u5O9oqX/FoGMBZnQxcn1iIGjouRg5D2LAXbJW9ljZ5yIh2rEWKXFWFPoRy/9SOQpXXuV9vZr2ZecaFiToczwLi9FS14nGKd6+G9HIWJ5bWDTCaBp2yhaD2pmKZu9RIga8m/aKMbjGMu7AGPSIcv0scSwGZfLXz7hAiwE1mdpp08Xi/aSfN4qWj5X8LhYrao2wzpwdC9GeukVh2fXydFSi0FQArChkEAUdjfpLcmbIPjVa9pNoiG25Gg26KDXGaEzu2IUgTQxO8BioFQNG318HxUDILgf99yGOWepYyadiUVCpoH84NRZTmxdPkeVYLMwX87aob42FKNN/sZI/xYF+2D6mSDQIpG7e1DRa6jrR6Lppz+QcK6IlrouWPC8aZ6ewUhADATfaxOBz4tuLCbNjINrP3RipT8ZIfT0WP9rd6hI2IhbB3j8fBt+KRX8B6GLRXAyyODB7qDI5Dn2oKrNdiUOFZKE1xz6Pw2bq/j2SWZBRHPhosKrqc0eD2YU7Tww8LJv2jJE6QAzCqnQLqn01Bvv4srQeSfM5VuK3WOwkNJliUSx4mne6F4vUeSuOr5Y5DvU+XajftFocjCPPD+3ZPQ6L5iX/aj0XJ3X3OPBqZ/8dh8q77pQ8mMcCXoXf1SwSj1sQyTR+cww69Ftdz2WOQX6GaylisVLhRkf1OYl3MBb0ZTvWrKJ9CWj5xaWLhcKy7ddYhOZhBhSHD0u5QOKkrh6HmJJLqr33xEE3N03mPzktUleyQNBdWNDp+6nF3p4W1BGN2YJWmU8P+77WIvu2BU1KnG6ZI8iCmuuf7O7dwl+PSeclFqzme2yxyMPHM2ccbpRiQBYn9dk4NBALHodlLc52v5HWgq4CkFpQneW1UhYwSj1WzgJxTJv510Mco7kWvPs790r/fRbknrmg3YibFpw89XH2SrsFq0oX6VrniQUrOtaYnuerBUTCqUPEgtWxuSXjUChdRIoyU+Pw+kSPPk2i4mTfssCoNN+6gq4f62Mjw4K3O5lYWzBKLJhFzk8LUolC9l83iX9Z5Pyw4JR25lH1lFaJO624yXS+gRUH8wQ+r9jWiuiMPOGseNCUAbQVOpYZTf77+N/zN2d5pqJFzmG6D2LlredY0LLW/RUKPXcSb7VgAcOvSIvE6RbUC/4avT2ZFen/3tleuKBV4kIrejwPDK3SzSrniBVNdjchKm/FC7ZvDlmlX2OFgBFvrDB0Y+HaJvm4BQJ+TrdIPdYCnnprb1mQ4fjblFs1C2gxPyW+tcj+St+76NGEuEpWpBWCqRUhLGuPtOIvw6dtVvC0uX3PKs+BFW9oFV79tOLPEePCecltKC8avQ3ZSq5sU7CNDZdqlU+dMNiGKztHUau3yfuxQcgxtO/bb1w9U/ivBd+ZLuayglWNw6WsINK55nhTK6YLImTFElEIVqkzWqUfZ8WMKozcrRK3WDGnfdpX/wrZoCszwdGilg1aQQZ0NhC5yLl7rk3qEzaIY7HXhkniQjYsvdN0+cMwG+K0SXn3v7JJndMq/Q0rRtUJL1VyjBWsQoWussLN5bLLileFWDmxYsTb/s2bPLdKPceKDdNY+bSBVy+stQ3rGb4Nt0m8bMNclhMP2iBo1SUbks3cW7WqzoaIHScnlPHZIOjqexvusByd3y77vF2uix0HirEQYQWBX4IAVqn/WjG0ETMVG2qk3PXhXU2bxMc2CBjVzyZ9JRvEON5iA1f5pps2yRttEOVFn0l+gQ20SDnafbZByAWF7eAusr2BHTHbk1ErtaP67WyPj660Y3H3N/YPe+1oIwiDHcKuqWeTvoT/uev2ZCfKhnMMh/W0T8SOKzlsWMfH/BP9m+3TlHZUbpKaWpwdAs5ksUu8SJ8CuNolT7GD0eDgpXb0Yxn1sB0EQuNWBNjlutjh+LB3WeR3O2jYb6hR0IHjS5ZvyF3bgXrfDdTZbeiSpk3EhRn0nNw2T9pwftSERdssNtmHbXKu2OU8sMu5bUfhLfnPblxix9ALqTYY99nRZF7fs7Vj7FLftaNolfrUihzotmJcviYlHBCwuK4DHaf1Uue0cuDOzQI5vvV14BDbFmMcqHTkybypcxzILRq/A8F6bth2qWvSc6biwWTH34qsjNvB1Tisix2tqp7oO3mcHW2F0WsHgcmrBW/bJS+w45dQbhxSL3JIPO+QurcDc0QBODBTGAcOqac5JD524NXZ8cvP/nJAHLPcThwa24etKYxjODTLjvtHg0d1pusm+dB2iZftYNV9UTKH1DUdEHIGrfu1Sd1Gr+jogGiT4x142oeJpwO1hKDsQFeWle0OPNZYkHfgvrb+z6hvDsmXnWB3YG9Vp+TLThSgXTgyzQlqost/7nZiiC3fpRPnnWD0Mja1Q+r9Duw60vPXzEYOVBMD0yF1JAfWX33wYtd1B5KzHBpH+1N3XbOhTxxST3RI/cQJQUtKOyWPc6ICy39tneielZ10p9QnnKi3skLtBUedsi84MV0YxE70mzyudqm3dL+icbmkT0d1sKdW61dnHZJPOcCnaBl9LhSGiUPq2w6pozsh5KOOTukLOuF8xo2Yrt+rLUEqJ1Z+WULU1YmRs5jBOJFSNAQnQqjKdqdyYSShqVd5XVKvc6HCtpZUQS7YzlWkCnQhnzjgLmyYyAaBA+2FQeoEq5aViztlPsGJvG158jsxo8OF4tO2OKV+58T8/ObpHS44Iej/PScWlmUnxInwl73j2r1zooYwLFzoJw6GS/YjF8aWmDh3/ikXRgkC4AJPpYsJLswJPlKgKn02+laETpQLoi1kjsfXphWrjZzllDkMJ5YLeckp8ZFTzmWXPPcu4ZYerOlCTmEAu7Dn4fnr79a7EHLnRdziky6wG7fytguphaDmwrC6E2lkunDgYjfaYRdq0NMX/exCJSGUxkOM8+bxsh/ES109HuWyZiSoHY+CbS6azyRzgVna6bJ0vX9bF/9q4JL+n0v6XC5sfpG+Q6OjLswSMQIXYnsUnl7T48LhTJu393nmkvpBPBhdzM8fjxljt71ZiHhs3x3pzt45HkJWHBqP1GfPUeeKl+sRDxrmla8fike+6/edM2zxuPFyxq3cv+Ll+ivYdoCNIhcmCmDgkvqRC9OFYeeS/c+FRSIgES95U7zUKeOlvxIP7iLbt8Xj0e9ORMXicflLq+YDYuMRf4KN33ip48fjyDRGTgpqM9ysoYCa7O4Z5RXYOw3P1re+AlZzUtHnn+UJVyd1UyCWL188ROyjSTyGdWHnIx7sXo2aEC/963hZZ/EQdj1dL6nvKCBQOFr7G4/iLM/9iZf1r2DjdxZyFETR6mUcrODj1a4T9s9RpI6mgFWEgocVTO/KyRQFecUDKLIOFYlLFYTTND8YEi/1ynhUnXwieWBqBS0KvXpYp4CCWI6VNFIg7KLuCpzpucIV6dMo0r9TpG+gSBysyD6gIH3Bw4PLRymyDyoQ8PeVgt4C2CoYKgivKvuhKvuhKvdFlX6rgiLEbkp0USQeVsCqdL0xCpY6ynR+S8/dTQhzCjqJwJKC7u1YWVIg2uoDBWtqhuxPmUqFkCXpOiLe0FOFsPumqNK/UTHqcaXX49aoEG1nk4ruLVf3Ctym4h63mbMqdjBcuKTiWe3Z617Sp4h/xCv4V5ydZQV8lRmfFWTdU4ggnIqa4n/+6yXpcCqmvpp8+OVWVeIN+j2miSdU6e+pELDWpELY+V9U6T9rst9pEMtVVZP4TEODWU9uNMqq4dQKbpyqzIGp2Mu0rL8KYQNP9V8vad9VlPtY6sX+CBWCZj9QZY5ClTye7qezddvAv6rMsWgSD2nIy3SipibnooY2KedmLFVOk3qbJnVsTerHGvi01GuvyXOiyZyQJv1jTeY2NOkbarj++VjGlwM0EAioHDlRA6d1Xi/TpN6qSbyn4d/rNuvDr2oQ8a7TmswBaBDyxjpN4mQNou3R9yTlKDSJ5zWpP2loeaLh2kPlNTQTwEPDb7Zrc2gQNIb+PinnpkkfW4Pz9bLeQ8M1sGty+baGiCfcmjUIWUHn//mjHqzIaXgy7Jir1jsNYpvearjA8plPw5dPp0vkpu+7xsf3oIZkIkChYa4QGjT8yMWCnyZ1O1o3YgVPo1Qk8rJtVxE5kRM39PssU0ZryMI0mq7blGHSbw1vbrMQ6Ea/jhObXM7sljhEQ9j9u5vSvNfkXNbQVxhTGvqkz0NHRZNzTEMVEUDRpC+j4cYC7jSazDtoUk9X8bjzi6F/jqgST6mSf6nSN3FL3cmNp88/LDjwl55HDBJN6mua1HXpPswF97WhnyfpXG5sYrk1UROpu45GDenEF9A+HQknhqGhsDB8NbQQB1JF449pU8YFqeif4+jp3XQ+11+IDK64XIWQtTuqUg9QpZ+iQMRntrpRh4/zMrfUO9ywEApsOMENRsMNO7sRuHtr1vl13LjFcPcn7QuPZYcG7S8b4ZrMz/nriFNQs7+rUmdX0WX75X0Lb9A5YttqDvUPllGyqNLfVLD43JG6uc8paC4ELwXC1l2ioKiI47mRabbxdqt9bohlmeIGp1XUxm7Y9T8JGWsQcI/qTMCrXRqmT2JnTcPLAWxoaRB2a1kNjLYb/lalnqUiwcbBPRViOcuo0u9SwO5GY+rnamlW7BQkMuw4ruD3uQ+2TsMV2EKzT/hAc0/Q/5Vu1BMH0w1mW4kZ3XLua1Ivp7qkKf7ujIaGLC9v1mT+TJO6qSZ5B10/7uixJbRfor23VKXfp4JVsyPUX5PyborUrRWZq1OQQRhgCgRsza1I/18BXzW0g1vmBugzU/jgd1RfbURgj/oV0/b91DfYZqhE59DDC6LiRFNeEVXmuFTc5naZXpW5L7o+wxizIvNcCt6yfHxewU+OjexQpH+n4AmXHc2tJD9X+W++fv7OAk08+gsDTJO+jwbdAA4e+esoyRdWIezLa7RPFy4pQ2arMCT0C3jTXMWB/uy4035aylInV3Cb7YZ7CuI4LnpAkfxEgVjehgpi2Nav5McPoSFxtFKEE4SQrsh+Tjjmi0vXO73yX1/Oei8/IX5V+gmqxO0qTmdlxk3zg+FycVX2HUXyH0XmbRQMaN7kuXpRgYDR6xQwy6k/SMHuMqeOujsQHhCGHM15YWwqMr9J9cU0gfZT0NtMhD84zpGOcAvbilkVEGi7cfWMipmioajoxPCP6iZJV1blOaV9YLnhiIIXd66kfLZRwZEUTCgUyZv9+IbZ5ruutJ/NZxxq3V/BDraPO/nr3nKAjVr/763mMdRTkfNOkbqZIvVZBdPEBvv3aWrphnVSfCCcxPLfJ0Xq+nR/PBZiFdDNOq5TfY/nWOhOBYNEkE6RuS76OwMLhQqWX2IDUJE8lHAPx8xqKRA2VhlF8mQF5noswCu4OY0dVUXm6hQIm5rw8xseUy8V5Gz3ucZ6woP/wzMC1l72r1vSOaHv5/jWbPo5offahDvHCoREdcf2WzvChZ/b91tNeK2cCMoq6JVvQLrptE6cnpzamHAqdf/Xbeh8FByyYDT9nFWmA/TzJB/Yv77N5/IdKxg4h5Ohipz7dB8cf5mvQLSRqYrU3xWpj9G54njuaEXqlf77LXe3LzE1BWV8E2eM+H/+Pklf9V8/KZ+tYNK/yPY7qC4a0zS4Q/XaQxg2CoTtSb+fpDcrSGowivRbFKnLUt0GDHMfj1aQZPsqMvelSH9JkT6vAkZfV+j3RQyD1r20CPAquMG2ygb/fpvY5qXrVhGAk/4+wEITRsGJF69HTqV6WZaelWAFzB4X3PXj0aRcuYK/+5kI+vHxn5zsWFN98TGhczKyCCf8FJTi2BDh9m/RLJApUAgNHSWcL2jZBeIl3zjgpMicDn0Px1wIZyf58ApaCiNdkTzMX+/FOT78RoGwlZ4q//X1JDykSJ6qoJIQlqjfi6CgKvOtitQ3/PfdTxiLxGuyNezxPND/76T8MfU/cQBUqf/QPGAaSZ9JerwKIbc1U6V/q2I4w7R6KqqIYLcqdUNF8kjq48J4UGU+TpU4RoF+Bgcmqf5Zlv5O/YDbGvEa72xOhqgQtLCcitRCgCD8/Y4NNVXqocQrWKZtrGJLHQ4AqeC01JbOhNsJRaXvSrxEBJ5UVBfBMBWtRLBVlfxSlbk0wl1tuTIUXPo5kDqH8l8fbPnzzStdfVXybVXmuVTpt6mg5kx/ocockyrzvyoOcVyL8Ipo79MI5x3lgKoq9UI/j+FqKbdbxY20/ZcVv6BirhD8VIjXDWqrMi+gYtqWUzQxVHDqpkwPFZwC/0afSXlTFc3ECx80RwTgU1FR/3Dq0z5+3LTx3oT0P46qEDE2+n5h115XcWwMKwO0PsLoVaV+pYLd31zEp9hliFdUPLAycFGhj2QDX5U5FRXXO3CSga4rAiWqzNOo2MQ2x1KqPx5/xAuNbVigVLH1KBvwdD9st+tV6e/5fy7kpFMqsqwcSTunyvctVJnjV3G3JDsyhEuJ/R/KpEk/kHgTsdlyGYj/ZOcEJPEljpXPU6U+pf4375Jy4io2z2LkoMo8E90v03GLisCBnPRV8STDu+nZfcTzyrKypsr3eTT0Gs/KkwaephcLafCd5ki/Hycmve/j5yH/400C1hLuTvKhiMfM5aSChuRi4GkYJAC3Blbtq9D3CrhDPMrJNJ34YVIO1s/vkuaDhuHioBHfEIRGkz6zhhpPL5d+vIJwvnhhSJPnX5N9U0NztnsjNRQ9bi1sIv5yqSMr4JrM6Wkyn6CB2cCXVpr0TzSkLMOVq+HdxQQ6oZrsY3TfbIMGali+tdLQFHc02Wc0+b6RJvPLGhovnmI/8keTvr6GmmynpHTjCL998FWDiJuWc0ufwQ3x623dOFuYO7Bb5hjc//GepFyChiXenjTiNRDJPP7itQYC3Tfrftfkey9u0OEa0LisW+br3BDx3mlunGbZZblb+mrEU2o82PNznlvmFNxYx7B8h1vm39zyPQw3eEo8vutG53uGgIEmN5IED7d8X8mNv0MT732b6v9edkv7E09KOh9umTt2S13BjXxMj4+7IWjkfuJRHJOl78ndnX/DLd8Tckt+7UFfYZB7ZJ7FI98D8UDY0M09kt95wOy/91AP6hAbs27z4LSFg10epODXyd65kfCSAakbWr3hlZuk9qAzw7NcHpnr8+ANj5f2HplT98jclQcidt7Sg/78GJ08Ehd64ODXBe76r5OUW/BIv8cDIROFeNBs+cOwvQEeDBVChUfqYB7kEAEvj9RnPdIf88i69WA1v4530gNWUSvt90jfwiN5iQf1xR96wFO7ySOPzCd50EMEVTwyN+6BgenfRw/ebeGBnCB1tAQ5HxLAp8vQMUHmCRLwPX9eakkJMheXgHP6WpmKZk/ARX59ia6XlEPwyHxhAlIKozoBaTomuhIaJWBgf3Z6E2TONwHCRaGf/7vOwkACerN83yUBwi6n6wi7qU2CnGcJsHWfR5QgAfxWTpFVCTIHSfebI2jj8HsJUndNgKtQsb0nwhLkXE5AkyQhHe9YFotIkDnHBAhbOShB5ooTpH+cgHlJwgTuc2w+rVe+35Mg/YQEqRf4rydg8d8EiLJ5ngDx+tSzBAiZ/g89R1HblCH0PUK2ru1FRNFMjb4V8ULA/jRepGVa9TpB8k4v1mbnAvCivvVy88guXolnvTIv4ZXvM3pxmdhcF/qeJH3di6VCYPbK96m8qMi3dccLcXw+eCUO8YJAcOf5Pq/UjbzyPQv6eQADfy9+fOON9kpe6YWg+5u8EDbnPi+yLunkOrvGK/1br8SVXpl/8uJXagauXpkL80p865X5SC++cPt+6pU6kRe8W+8m+b+3kjCMvRIX0vM1ixvtfOZFnaSBJH1hr8T1Xqmj0ToN4GSgF7fqsrHphX6rIMCyP3slz/bK8+kFs4n14fR7Z092bprTh5xCSPGh3GJGCj6s5Th+TR9ieXkr+VBCBFy80o/0SXzpw3Je1jQ+sGs/iH7/Ap3axCU+RLdi58crebr/M8lfpPWvyQF5r8SFPqxmeSCX/3tYlczQ2ifxqxfDxIt2PnlefWB00obWZwGxlWwNfRAx9mE+HC/HhN4n85s+lL4SW73YAh/SCwDjk/6MD3MF0fJBPO4PWiemG/QcSfk2H6xM4yr4UJPHQQ8fxgoDxYcUvPxVfLj1h41YH5oIAOiTOrFP6ng+fBnDE4Geh2P0K3xSf/LJ97Z8GJGxWZb2e30y/+yT88UncZoPu4szQvGhh/g//uu8N3Fgyyd1QZ/kGV6Zm/LJfkL7xjLxQh/ai8CGD44W7Fj5IGjUdR8EzHf5ZM7Yh0rihSvaP379Io6+l1+jSJ0IVsUc6ROl7paIQmJBE5G7sFBupT7vkzjXJ99zousKouqTONkncatP+lU+qS/6IOSg6T50Eca9Dy5+HXWOT+JLH8Qx3u6T/q4P8breNCJ98j1EH6qLG/TJ92l98n28xP++d6/uUsC88z5s+7hj/JHNPvlehU/2P5/0y30yZ++DkBtjaD8EofBhggDsPvl+tU/2XZ/0PXzSj/VhC8cpaX+T3s/zSZztkzkVn8xn+KR+n4j/AxaB6I4=AQAAAACAAABsYwAAohEAAA==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AgAAAACAAAAAegAAiRMAAKISAAA=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AQAAAACAAADQBwAAFwAAAA==eJzj5BwFo2AUjIJRMApGwVAHAOOGRlE=
+  </AppendedData>
+</VTKFile>

CylinderKnMa/Kn0p20/simulation0382_Kn0p20Ma5p1/Lambda/Lambda_300000.pvtu ADDED Viewed

	@@ -0,0 +1,23 @@

+<?xml version="1.0"?>
+<VTKFile type="PUnstructuredGrid" version="0.1"
+               byte_order="LittleEndian"
+               compressor="vtkZLibDataCompressor">
+<PUnstructuredGrid GhostLevel="0">
+<PCellData>
+<PDataArray type="Float64" Name="id"/>
+<PDataArray type="Float64" Name="xc"/>
+<PDataArray type="Float64" Name="yc"/>
+<PDataArray type="Float64" Name="c_6[1]"/>
+<PDataArray type="Float64" Name="c_6[2]"/>
+</PCellData>
+<PPoints>
+<PDataArray type="Float32" Name="Points" NumberOfComponents="3"/>
+</PPoints>
+<Piece Source="Lambda_0_300000.vtu"/>
+<Piece Source="Lambda_1_300000.vtu"/>
+<Piece Source="Lambda_2_300000.vtu"/>
+<Piece Source="Lambda_3_300000.vtu"/>
+<Piece Source="Lambda_4_300000.vtu"/>
+<Piece Source="Lambda_5_300000.vtu"/>
+</PUnstructuredGrid>
+</VTKFile>

CylinderKnMa/Kn0p20/simulation0382_Kn0p20Ma5p1/Lambda/Lambda_3_300000.vtu ADDED Viewed

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+  <UnstructuredGrid>
+    <Piece NumberOfPoints="2121"                 NumberOfCells="2000"                >
+      <PointData>
+      </PointData>
+      <CellData>
+        <DataArray type="Float64" Name="id" format="appended" RangeMin="22201"                RangeMax="44000"                offset="0"                   />
+        <DataArray type="Float64" Name="xc" format="appended" RangeMin="5.025"                RangeMax="5.975"                offset="3352"                />
+        <DataArray type="Float64" Name="yc" format="appended" RangeMin="0.025"                RangeMax="4.975"                offset="3584"                />
+        <DataArray type="Float64" Name="c_6[1]" format="appended" RangeMin="0.0053521"            RangeMax="0.025276"             offset="4128"                />
+        <DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.10704"              RangeMax="0.50553"              offset="22880"               />
+      </CellData>
+      <Points>
+        <DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="5"                    RangeMax="7.8102496759"         offset="37708"               />
+      </Points>
+      <Cells>
+        <DataArray type="Int64" Name="connectivity" format="appended" RangeMin=""                     RangeMax=""                     offset="43744"               />
+        <DataArray type="Int64" Name="offsets" format="appended" RangeMin=""                     RangeMax=""                     offset="56800"               />
+        <DataArray type="UInt8" Name="types" format="appended" RangeMin=""                     RangeMax=""                     offset="60388"               />
+      </Cells>
+    </Piece>
+  </UnstructuredGrid>
+  <AppendedData encoding="base64">
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9tK3Vl+CzibHgRrAIKaKhP1ga9jWnjBDhbVa1dpMKuQ/3WJiDsgjbN7suKhwlAkvfKHcS+f8Ippy2c68Q2rw5rRrtQuQHBlbSWoQIdwv+Gknw3+r5Z5dfsxBCh/vvRymIcOGF7eqWLiHSYj4uP/9HCLtaTXfjn0KwuV8XXDMVIV0zKjp14zAOPjFaclaTiV9d1y0dJPZ//vgp8aGRCLWWt2qubRDCddDw89MjQpS9vZNZwhTCfX1684RUIZSrb5R/vCJE1uq/bMfTQhyrvVA1+gl5TkXh4ycpQnCZVnUl6ULEbPeSDr8nxOI5oxp2PhfCWivdyeybEM4ZDTMekvy72Wi0cQbxj8XltbwvqiKM1vo+JkNl2B9NjYORMdIi3Jh9dZkO+f/lQ62sapKfh2aOeaDkIITk3foCb2Kn9oiXiN4rhOmI/K0FW4R4893800Un8vpK7xOXeCEGVsf9nBkghP38hfyPAiFGOlFGuGYLYTJ/bUhephBQ+/l5M1+IO4YrqS9uC6Gg0jFV+EaI77O3Jz0g9vb51IQ+6haifGXIrP13hDA4Snuy5yn5nuQkrdWtQmjM0Sya2ygEL8W8auw4EUwiJd7VXBUgMre2bPUfAbKXrjNzkyV2dtbbWfULkJpb0BzeK4C0Tem5o+OEKC0tzqWrCLEnvNacQuy36JiiNzpIiJsqUh0mYUKM3vHgxI1AIdQV5zxt9RbCLV8yXd2a2LnhxtWLZkJIz21667ZdiHvVlamxjkIE7n4VdyKN1Ivz8dYWF4UgRU5V4qwQEmrrT9y6SXAxY/a8yBeABNnN4mQBbKe8eTX5uAAXgwrN9pYJUByUuVl4V4D576u2mRUI4GokGdlSKcCo92NnV78QoP1uGvG4ABUbrqQxnwtgNYljXFgugEHZovlRDQI8HdE1YY60EBPcHd/tnSpEq9rEuz+MhZh390R3rakQ23MVBU1KQrxychrlsVCIjMGGpR5rCP5qa2KT1gnR8f6JlcIGAZyCa2RHHRLg085Z3/a5C7Diya1wXSsB3B8aT7LYRp43UuLRcXMBch6+c60zFuBc8N6jL80EsL42fWPAPgFatzRukhMKYGhfE2ZQIkBYjuHu/ekCbPRLOnQhRYCXyVrHaGT95Z19Ki0iAQq2qGhmXxQgoXPVE9s7Apxwj+E9eyzAhEjT815PBIhtldTt7RDA59SiBb1X+DDwPqchfYuPfP+TM2c+5yNwxRQlk1o+/Av9HsZ385G5tdaiWY/gvLCdWbVMgPhMH8U8QwH0px7r2zhNANmxDIMEHQHEUb/VQIDrkRuCFTwFUDMePHyL2B9TJWN0IVyAN9RKOS2mAHjo/e6ljwDaW6Myz/kOf66lV/35kV0CXDkmLrQCsD9WfaQY8zGmkWU9ai0fjWc7HOzt+Ahfd35jSzAfT+Qf3cpP4OO8yUtnYQQfLDvrigfH+VD/emhz6AVifwJfyryaj3Ptck/NbvKhN+rUb7lLfAy1GfL6wdrLHvKtfMxwnlc3rY0PLfmLHcqdfCzPux/T/pqPN7dSs02bh19/Ma7zLvrCR53xD6ekX3xsP2feGTGCjxuhST87lPigaU5e2LmAj9/0hkue6/k4UnOdZDzB71LcydEWfNx7PtCtS14v3HZl7gN7Pt7psTL6F/Lx3uXIbluyvtKAOX6lJny4cDPuVWnxsdj1V6mKOh9dtzX7367iY/IhreOd+/lwn/YpwPUg+VzArb7io3z0JbQf9yM4qDx/PyM+nY9VsyauWXyV4EHu3nqBBx3TJ7rLL/Ow1PSCtX8WDwfnaHSFU3lQHQKOh1ZpcQfmwTcstqnwHA9Bnkabdx/nIffBfqrsFR64tRqc+DQeTqawzxc948HYcF+2ejUPfs22bi7NPDzI2lOx6DsPB6R7aNP/8nDcihmuYMhHxWR5Z7ldfCyV+HBh50o+UmS3qx205iMhtLSEocfH6qWLBVPH8XDxyvU5aso87FhcqTCgz8Pf7YZ7zVbxsGH8L3NSUhEUO03zMLmaOnEn0jfxkGgqXggPzRlM0fVwHobKTQ4P1jzXN+NPDq9ncdh73sxKHk64Xf10NI+HAQatrbGIh/KULe/m3eLheczIjU/P8xC2WTQn9x4Pl86Vbtz8gocpDxY+OT6Sj7B3c9dpdHKh8fLSW8UOLrLqspsWSvEgnZa1d8kYHppi40gm8DBf9ZHtdxkeLHY0XK7RIXbOzHMwWMLD+fOesY9WErwOLySYET84Xe63dyWfs/zRUk7sV2J9R6EzD6tSz5KM52Ff7BIZU/I6SuUiZZMbD8dWe2+qDeBh69vCZuvkYXv/809TtveRsCIuDu7pZArecbEx6LRA5QkX73u6djDucoHfbk+T7nFh99JfMeQFF3cVr+4c18JFwN30KfMbuMjesWZRA1lXoJgODnAhzn6jP1zsjOCmO/7iImoxb6Ur8Uvu/Il1PsQvjZLHr3lt5SGA+YKuHDps967UBJ6Q2LvM2jJCy5aH128nUsOJ/zBlrSj1CBf3qDvzj7pyUXLyY+deLy5GRZ4//C2Ni4mTUPImj4sxR+SWW94dvk4xKvv5tJiL12vu1raWcCFUFb/BxYwtm+bfI+uIkfmreaCciyUTCpw/k6vEUGPnIvqluqvKJS5M6t8Ij5PrsQjzru7XXDxj9czmdXPxvfrTuXMjeCi+IlqxQZYHzYcSMToOxI6F2uz2fVwsfa9t8o1GPreMP0oxnAt22aSj8r7EXoJ6FpWLTfbyfurk2r5g105qKBcDP1SVJzC5SLbx0toXx8X8SJ+TOyK4aM29NeEllwv7+ntXnp/iYubO4xVKWVyMzzHObD3HReyW4ktFQi7G+W15z0/i4nzrEs235P87X27Vu/SIC/WTz6YXV3DxSVz+JnNR0FbowxzHhe6tbylqk4avc43Xrz46j4trfl6XjBdyke4nLnhcnHrPvTlgzf3f+qTEbcyWi8pJphcvr+bisXaimfxWcv+rUhfm7eciM7ly3vEgLuQvUJebk3XxqEKmLIWL4EkXbN6T97Uv7Nnu7c1Fcee+eveDXBjn/H61lqxv1trPAbPHcnG9f5JEkyoX+l6U86qqw/Z6emn+zPvGwUjz6uuuxN7DmZIFoyZyQetyKbaQ5KJhuZOmw28Okv4IDj4bwYXCVN20UwMcGPg/WO31iYOuVwaqiW0cTPd/u9DsO2f4ORrX1O6uIfepCuo3WM/Fk3qFtbI7uZjUlpPZ5EGeX1Z3OnA78b9c5cS9I7lQcnT8vYrcR6xWztQSexJEVnfecfBwq8LiZ+T9+14XXCNLOJhgUPp4aw0H8wstTP1aOPjV5l6o8ZHzP7uG3EnW4eFR67xr5vB6A2wXWp4cM7yeR3I86/JODsKMG66sGOTA0Vg5vF6Ri+pjs45fHcXF5zET6xukuJCWt+AeKOVg9JAA4mCPUPFa6XsOjvSV2Lk2ctDInkZKEge2A3Z56x5xsPn1CVKBOZDhfGhSvMKBXJ6nyqj7HDiNpW3/8JiDiQd75kiQdWz3jw6vec7Bpqg344zJOptJ0er5Qu5zhjnr60/yOYLWVyWS/20NWxxUuFjQN32wmPjDn3T77xpcJF543uBnxMXHY2Pz2waG8Tp7y8bI6SkHN4TpU1PI89/ZZtw/XcFB/pOwho/k+leDPePRKw6+PmyMm1/HQYaSypVbLznYWjjycAP5HiEj2T7k/cwnqUV55EqS5lRDOwc6U+Wu13RxcML2x9GxvRzEslm29f0crNols+TLXw5WeG0vsR9P8rgtMz5fgvj52cXc9D8cvNQo79r5mYO3D395/yL4jSm5TzoRB3lKv558JriFR520TCe4jP/7UXpsAQffbBn1dQ/Icw3Of0go5wCOUxZerRy22+jip/OTif//80v2yOKZ28n3mX1n9vAInqln5JOKn3CwY0C3knGbgzbjNYa2BP9I/7VXLclrg5Ko2ifXOfBMkCGWcHDvmLgRcmExclOmE/F3QnDfVJ0ppE7JdfbPl+dCZWzNBGsSJz1y24IMCU588zGHKsj9Orx8eZ8vcOBvYLJq5zEShyMd4nVFHITOaC74m0TyYojmcXA3anXi0qzhuBCrE5Xc4aviZx7lHLmP14r41wVnCU5K9/9uJn575ZUcfOsWwf3P7E/lpF5soHE8303g4s+xrmdTCZ7a7fO/Rj8j6zqj58d6PRxH/+GycEVTjAbBmRsV4fyC4Eoba8NadZmDkOPwdMzmwFm+7JdJCvF7w6clH0MJvuaBXc8jOVgzJLOG1zOwtjxoIZeD9iiFB5kJHCw1qUlVYXMw13s6aa1k/TmnZ3aQfuFUda247ADpX/bh37VWkvprv3JuvN5w3DqZu6gZEP9PWyHh1Uny+3BhG7kjByrOx9JO5JN1kqreTHA8Ip+r5JnIQY5jzJUb5Ll6s058jWBxIHl/mnnYERI/izz/lq3igH722TlJcvVfpzbZw54Ds+hjc3x3kngjLNN/LQdDMnMrB4JSL7N0SdLHyx68fn2Li5o0httyDhfHtR/L5BC7cyOLzfkW3P/lf+9ysWIZjpf/8ui/ePkPFyISslt9OCjPOyBZt5mD5QF2aUrrSR0cIigcVH1m7aZacWC3/9uEGytIHCe2Pi6bT/Lzq2LFYT0OLjXds5TX4MC7pfPYs8081KuIOxsPYhWTT/iL3lWZh5urhvvQSI3Pnzbt5cJQziV5F7h4WSXtIqVJ+hrN7HZIx3DenNjXgMknOUgcopskL+RZ80/QSZ3zPrNq23YO+g9esTYndi2z8qh7aMjBlf17WbdlSPyFbjlSPXb4GrTJLa9QjQPKp2TpG4SXcY7uluvaw0P0Ad/Rlxfx/sc/qHsqjz+p5sK6U9Fy4RUuDpStRQ7ps/Hz9BPL7Lm4MyXDsHo293/17L96ohEy+xmb1Es9Z+r1lyQvnuzLPBoWy8HTdpuiOUc5GBqHEP+9ODXJN9iOg6tiOqBN4oXrbnhThYPVS3Z13uln45WPm45KBQ+lzdUVC4idsZIT7TOieWivPf9zuyfhjUVWjElmPNyzZmtsJ3GwacHcM4oEV7Ujvdt8ib257o3esYlcvDJ62HTSmYtfZYyvk5Zw0X2P11kjM9yXStlL+AEk/5OmijsGBwdfM6+VZJB6VF4VqBlN4rnh6cbpJB4elhQkmuzlYKXe01x5Egeljz6P0B7Fx5B8I/x7jpa+RMJzwl/fKgvOXuPhw/R3drICHtyPptUzg4d5dIGlHW3UAh4m/tjys2oUD7NtJE+6EP6UviW77Ef8cDycmKeQ82cZ93/1d4i+NHNQd+bmG5ccDu44HirvIPZprmNfEIUMx8F1+mntzdYkPvX/zvhN7Op7dM0ooYv3PzuNLhc6+XYQf+vnHBERvk1I7kqCCRI/+Wp0nOHhdHdGrd8RHqT42x9+MOZB3O0nzeDBfO6fL9FjeWCobrxUUstFbeXuOeyLXISWLdz6hvC1wd+7r+/dxMUWjaANOou5YC0M0JuhTuJFabEwkvTVIblG6nOPrpipkvhduTJtLdE3I+ZcPhh8e1g3/KeXsjLqV0/J5OHH9KI9iBvm7SR4FGVDeHj4WOw4HlJ4XSsafXh4Qz7t58hD2XrqbOFCHmw3PC+q+jTMQ3Wpc6RGXxvmjV5jCpG1iuiKhc42m0h9GCpzBN85Q0SXxIOnqhefzcOZWqncQhYP7CGZz0PRSvGEiwfZVEn9x3weagMvPTycTnTYA7sUnCb4VpzWoqYO83TLotTFgbt4aDv91GT8eh5+dosBGNYn6hEd6/PVeHh0YDqhuDxEVL66f7+R8Fnx+O4mF/UbRlPMSZ3odI+6p0P430ivq4GXF3AhS9jBC+thXfDUtOnXhw3Ejolys1MJHoy3kUTJDL8+IZZr+8jzDogVwLCO81Ep3zWD6IhN33coDBK/KzhVNKqS/JoafvKKqz3RZS28Dk9SF6wr9Xy1CX/fvGcMkTwkf36fEM0iuJb3jLVaV8aFoHWzzLnLhJdJiSc63P/V502KVg2jNXhoqLjbq2HOw8rwA62li3nQyC9TlFlK8sS0REnZhodDlJag+jVEV3lmvd5P6tGXx1s8/+wazpsH87/1ndbkwWbEeCM/glchxfvDuenE76lvFzwj9+9WUfu1VZfo6I7F5rNnk7yaO/WV42TyHBnWiT2jeTiV/XjGh1ZSp+oHwjwKCB+kLnueTeJ11kKZ89NIfTDfWxaVQfjrmpx33fRooseWjT2+/AIX+4pHZawn/SVKPFYh+oDeevSz/x0ubNT7JGlEJ+z1tZz4vYvUxx2ZLZZyPIzZMMffcAIPv7/7vUtTIHrUN6gxgeQ5V7Fr7qlBEneVfdkJJC7Tl97/0/GG6BujtneiquE43f+j2fXEKy6G6CDhz6vZbT8tpnFR8d65y3U+F5wpdRKHLLnY3R8tnGjHxbYxDdrem7m42Em/vziA3L+z9qgohegM0gVHnuHCZcufkG1Ej5nbNN/mknWUREjN2FpI6svdfWsFD4d1a7sihe1LdN6W/xNQGN3p0csl1ysRGqO1ic477L545mfi37988UYH93/9W1ydDNM5+KzTf/rjVQ62JGifT7g8zIsNda13HCT8t+jVoRZtwicPdYWeHUvqWcm9ynwvjWE+ETFGPOniQuy1iB1cHO3VVOwm8W5jVvs0PmxYB66QEk9wib4ZkuHDr08VX+jq4hMd834XocxcBPnY08or2BhBsrSlg42DCuvXNEoQXjFNzDwJL9lUb99N+MXpz2X6KqRuRtvls2y8CN869aBmOVmXhLfTRc1MYu/Yvf6T73DAE4/1Cb8JHfmnu+8t4XfHqzrWfSD9oE9i8gDRWf/x9//8FCIeI9oQ/RnMTJlB4owtWEwqL/Fzb7v1FkcuLFc7XUoIZOODT8GIZxw2vFIslr67xcakwFnpavVsvNk/t1irh41toX6bMiYT3SGRaB6sz8FFl6k9e42JziEqpWkNsVP89kaikzb1LyogffXPWNE8hscw7/qPh5odvLHjALlOlZ9xIY2sx3pFSaYj4RWqCSE7e6o5MH/m93406Yc3gm+uSyR6cPBxrt0NbTZMKclj+hezsfNObPwEWzaGtnO2sjE09ndno1daODAhjI0ZWhkPFE6Rvv1oxduGMjaSsuR2OLxlg5PosyCV4D51VdfKa9M5YFvkngThJzaXvH/ftiD2vr7pvojwOs1pVzvtXIb5V9Uz8cYNB3vba5ZpE7uHxsCET2Z8MOn2uEn0wYjPlD/XknFl/BuaaUsy0mIdVbbJsFFYYZ/qPYWNAp426SRsyA0RGDZ+JEW0y5uw4aFioXnaio3ycVP3/d7Phq+W7twPvmw8xU8dewZZn+u9Wa/OkLgJS5i5LJ8NIq4UK2vZoCoY7p/4jY2795V1No4iuJ/TsjGV4iDl0u+98XIciKf/7boc+IpSRh6xJXjePG253y0Z7/Zc+uB4MBnB7rES2QHJoLS2XPqVmAxRz/XnB68mw6Iy3ejsi2RUp67v29SbDI0dh5znjGQjKtb7j84kNhacoBfJarIRe7T6mTfxw9AY2YaNjbzr+SVubLg/DuSuInG0cMhxbFTN3vFTQPww1e2FQuFTNiYSdq/1ig01B6OWsV/YWHX9VtpEeQ4Kl7eWZdSxUDNPN1+9m4VvVMpjrlwyLk8qdRoxJxkD7uLKmozbna+PfTZLxtNWb9IpktHVIybSyaDJiBluMpYMCedkLMp+snt3XzKOW9bM2TyeDeF63RvXiB++1Uq+VlrERjZvuYaA4H/n8cjBKXZsLK/49dfElQ1JlcqME+FsVH4LNbGNZuN+s3VyXiT53BnbiMsRLKiEpHCURSzE33rVmH2WheLgCbo2j1kQT8mlP7NwP+fUWkvF5P9dtTxOVtqoJiNTin3pyKxkjA5WXOFjkIzYssjFvJXJmFnlsrFtfTLGvH9WokD8sl8cboxkHP2xxMI5LRmsNVFrK28nI2zEbGt+eTKk757cdvFjMrRLj4aqTxj2h8rHlV1hSiy0ky7sZ8pCpXjbaguxV9xO97Gga3e845cXCyavFxDFxoLexe1HUs+w4G+8zu/xUxa2sM1e/3jPwsfeVq/c7yzM7LImHSUZ2Wa3FCYrJQPx8mqe05Ixv99w1nxif8ZvWwXVzSQ+BCa9lnuTMcG+9uNoP+KnNd8rX1CT8Xmm5mBcxnBcVbpZ3lFdnIRBiVNG3j5JOPXoi+fPq0m4ebbztmZ/EozvG9unT2dh+6iFVXnzWaha4TnVehkLNiZ6gc+cWMhw/OVrtp81lBUnKSyIp8k6sSx4CQ+w6NksiGzdjZKKWIj6M0Z/czULY9aGalDayP+D6cX+P1houXlXbvSYZMheW3pKRSMZnn5LtDV0huMpJzupUD0sEX8tb3q+zUzEzfV7c09UJ+J9WKGUlEwS5pqyn4TbJoEmnWqaFJsER4l4t6oqYnfilrh1kiyET16dHKLNwp5ZBSOzLVgo2qdkJLWdhf3y6jU9u1iQJFV5xSEWPAZo58xoLMwtGUh1iGbBcuB2QLWQBYZStrPsVRayt4o3EllYYxyzzKWFhVXXmnuuDRL/0bg1eXcSMG5ISCegakL+BaFCIiTer4jhmyVi7M0NlXSHRPDmrv/O90lE1gnrGaXnE6HY82rgxpNEqLLuNP7uScQ3/cak+vlJoL64HYjDSRBv3s/JTYJzus+ayT+SkOxyVpQ3iYVSwk4cDVgw9va5t2I9Cx/MR/O19rIwJAd8h9dBSPPLFi4LEeJpUn88Xkd9s85dkIAhd3olYIb/6SpKQgJu9dcf17icgKUPzy4T1iegrVit7tHYRIhVeZN9IgxaL2g3MxIxJKcJ/olq9258rEzE7wz9DbNlkyCeImjNS8KBT35xhVuSEHuu7O48ehKGZE5WEm5Y6Zsw7iVh2pfE+JetSQjWa7+zcCQLBZx1hDqzIPfi7s17QfFYe5221CE7HtXi5d+Lh/fZvAWyXfG4tS+qP0ovARorHk2Y652AUVHKVqdOJ2DI7fcScCpn0Q9WdwI8y5QaWzSH7fb4cU7irWciztQdph9JScSz0U9qqp4mgoj1qxX9idA/ektXxygJ8zy9Eyr3JmF6kmpOfHgSxgWKXDPPJ6Hg0uJtlNIktFK8Al4djsPcUtNpO7LiMLSt2R8HktmBn83jMStGu+Xz0Xh8spA4Y58WDy+rH+cPXiPr+Owkebc+Hj4N3F7nMQlofSJ7KWltAvgjc87sO5iAt/fExDQB3UZH0ia1JmBH5F9fqVGJEGdThkEikDzL7vWaRCSLx+LMRNSJ5ezDRDz3FO90J6Ftena7rX4SirUfHXt+PxZl4m3d9li0qf5iJ4yOQ8geMROIw5UTqb9pPnHI+q5Zl3gmDodVRt1vqo9D7q9Hy31l4pHhsE6dhng4xHSoOG2Ph61y6uaxtHikWN1594KsZ0sii2Z2Ox5zN53s1GuJR6m/eGMiAeFrl4UZ+SRAnOy3jiWgP+feTtf7Cbhy0+O4Vm8Cni0TeLXrJWLNwRc1O2VjoeCYsHO8QyxmPKHHIDYWe9s8D/mfisVv90zT6Y9jwSdqu7gjFs4v2YQJxCG+7vfcwoA4TF4zuL5aFAfxtFmqNA5ad3IaLo6IxzotPd4NrXg8Ect1q3isOMdZNCkgHtObv7lsCImHy1ACxiNsk77jn7x4OH9dO+pNXzyG3P03Hi1C3c8wSPh3LiYGSxPV5yYIY5BhQg17ey8Gmxq0Us+1xkDuc0Wdp3IsvjxUJi0tFtG29reF+2PRbB8Wt5Yfi7V7W0cIHsViZS/PclVnLAzrlX66qMZBXKV2WsXBNXvLYpmjcRifXf7U+GQcAoY2/uNAyE5Rb1scCgOlx/9WjEf4g9rcfQbx6LKysz3lSfKVqLtiVjxGd0+2dRiMxhllcYOLgVglRCyLwawhQReD67dHt99Ni4HMtDGGNdUxcPCeFpj3JgYHnHfvM+yNgdbB8cT1sXC79doudGssJIaIfyxm7tWo1H8bi29zDUw1xsTB4TfDNnJaHNYUb2t7qx+HLUOCOw6dq43UDl2Ow7z5A+mDDXE4srqZvojEf7fyVe1zmvGQ5X8asXN/NMxTN6Wfy43GyZXX+35XR+O1g8f8k13R/86fxGCyod5lgykx8JQw0li+PQalo9y6f8TF/DsHFANr0XiD0scxKDH4PbHnVQw+9q233i4RC1cxjV0Ui5L+BcG1/rGIe/9JIvo2sfvHhsAqgndB66ZjL0fEYU+QWMHGIaXD8PkGCslPSrOc9PE4/N+xjSjsOzKnLe5OFPSTZSvefYnCyXB6nNLiaOjNdPGlHI1G2ulKUrmjoTl0UCYaNQy7np4xMRjaHtaJQZVVTffXVTFQlTib703sZn11J9I2Bt+Ol7mvK42BjvdmK/uvMchbuz3RSSMWXxeqy7evicWJhZwc5ZBYCO+JiVQsXh3ROS17ORajl1+hjnkTC0kD386MiVHYYZxVsHl5FBqlfHdVHIrC9Daj9ztFUdheNrD7y8MoNPAfE8SisOmu28zlWtGwfSeHv+bRmHx4wHZVUPS/8zHRYHYfaIrOi8aC7jfB+c3ROHXON+DY+BgkzO4af3dBDGK+FJ9XXhGDoTHs0Ri4RqfdPX4xBiou6sdukXgZIR9AQmI4zq+d1Z7e4hKJhbJdaftpkShL0CQRFYmdr+fXjK+PhPh0ymONKHwwSyv0dY7C3IeJJSfCovA8TpzAUZDaub9mdkcUzF/OMC4aH43DdfEv5DdFI/r7ZfrbyP+/vWHNr07VT4zBjhjLb3KaMWhKNB7QM43BPOW5f513xmDb9VfKYzxjEDltW6V8Ygx0xyW/eN0XAe2n6i/qDCPxrJxzcOzeSGDaTKsBeiTSncXCKBKH8qLuOBRGIuLZ+UPqvZEw9RdXvCiEPZyi77Nu2O6PE3a7jT0WhY3aZY0bKqJQRdTnTNlorI9AUSqJl9vi4wYk3t1Sp75Q5EfjpXi7kth/OqzR8dSDaNCn/x1Fl4jBfYkHURP1YjA0HouIQI++cs8xYQQstBSm3C+JwL0vbwtMeiKwo3HahZdqkXj0lamt5hCJp2Lz/SMxVN7SIvHB/8CW+FvDdhuZz569cl4Uvkb+IsorCrWCQ2Y1u0lciGUdIwqz7q2ctTo3CvtPypypr43C0PG+MdEIyW/O32gajX4V8YGCaLyZM/38XxL3NeHHUo2amJhwd4ForkoEjh5I7gpBBG53M/rO7ImA49Gb9x2iInBns3jCHQHTT+35U2oj4Kq8Ui5kXCSe6Ikn6JGwSfSVtt4ZiRDR7OWfiP1/9okHFJH/zneQOBFvV46MQqCOoZ3unCiktkWHCDZE4cnNSU680CjM6/eM7kmJAiG7GjPKosCWSXBp+hmFJnqNRYwvE3Lz3vQmc5mwOykgioEJv6XiSS0TJNmCNuhEIG7967pfjhH/5kERmGM5qVxIj0Bj8432vWciID49taUxAoWa98Kix0ci/9LhgqUGw7jb3t/4mBc0bHdZoaTejvuRmD5DiuI/EAlXr6fTf8+PwjLbyQto26IQfO9Z4lQSLz9z2/K0WhmQ3yzj0K/AhKLJ4zreGibeqFWMF+xnwkJwxq47kon6iFbThGtMKBRTTGgfmfAUH0dUjfg3N4v4N5eLwNT5DTOlaRGQOCqejEcgT/mZ/5qGCKz89qpw85hImDEiCZOOxGZSbWt2RcIqep7bl/jhvAwf2uCKxDxxWf8ViSMne9JLtzJwKC1H4mg0A/NODZ6qy2bAsmqqyeVnDKTbrZ/uOpqJZ4rvRm0zYiLmUuQCLVfmv310JvqW2u8vyGUiNHd1QlUlE+OHgGZi2pBwiECsmjiiItCqNeej64EIXFgpW3U9JQJ3xaci8yPg86uFo1QUgcyn3ocVP0dgcswYj/7JkZi7ZNb3KotIjE6pvFn/jQ6dNvWaNaoMUtdzF66wYIDt8XHqB3cGJhnn393KZWDZ67vUnfkMpKkdsVdqY/zbDyN446DWikVM7PnYvsOV4P1/+/5MfK5cuaIkk4nn765f7y5g4uGIXc9yXzPRIy43/Uz4LL4yT08rAp+2r18ls5nYPVF3gltYBL6Ld+1PRuCZeHulOALTF6WcVk2jI/Og16GoKjoWyn09xx2g/9uHYOAUPu0rM2fg8wrxyVkGileoICGYAbe2MGGFkAFj3wkDD+4xoPd4qS7lPQP96SdmlqoQXJuqjwYsZ6Kp2Glp7FEmJgmalKKPM/+dB2FiaLxYzUSG+HjtAPPf+ZsI2C7u/FFsGoGcoyvnzNhC7PtQPEhTpmN/a/6YXHM6hrZH99CxIj8/pE5AR/yfeZHSd+jQGuVif7GRDoHZwDr2GAa+5+kvXg4GViu9ej1yNwMep7J6/ZkMbNxzLEJ4moGjhw9nyzxhoNHup8fvJgYMOjTG3h/F/LfvxMSI+Ynao22Y//bzmbikvpsRwWHiqe9Fzs8rTMwJEk80mEj13aapnEbD1NE5t5KLaEgRfd0wroOGF6/0ss+MpWPxk7GfJPTo2J3LypF2oOOvejk7K5iOjfd7F7ofo4OeGvzHo5iOavNB64hfdHSmZvQ66hI8b7aEfdjGgPRQA2eAdVx84JSBPvbf0rd3GHDZn5haVUfihfNUdv8IJkr9NpYd1GaC57hd1n0FE5l1PV5rXEiexnTZ3dalwXCHSDJwEw2Vr581TAmlQVltZZv1SRoqBj0myJfTQKE2pC8bIEz52sDMaep0vPx5SN/WiuArUNwqf4SO1q49LoFUOvg6Es5rid0fNH/4+j2i4+s6r8snpRnQFsvuhQRH7a4TNfsYOMgblf/wBMlH1W175hUxcJqm/vLSWxJPeVssnUgdebpva+sePSYasyiHvB5RMWFQytKrm4ryqM0NteNpuFa2xv23Hg1bZxpXL3GgobZ/hHuePw1uzqPP38+g4TO7wXv+SxpsMmQNP0rQofZi5oMqQzp8Lzw9mLyVjhvjTFaX+pA4fsRmaLHpWBMzM0j1IR26rp7xx7rpuJzTFF8wmoGLamlf95gwMCv6lpylBwPrgkyv2EeQ939OfHeW2G8R73wuikJF+kjxgJqK9lVnusfdo2IFe+udoi4qni1uGKyaTMOVmFmTN1rRsHBn39kKDxrsbJYI7ak0eP81WrBTSIOz6YKy0AIanhrbPNjTTMN20epRXhMIrmNX6TIX0FFoNkZBaR0diqdys+o96fj0qmRR0Qk6flW5XMgg8fF43sHvqc10bFY4bHB2HKlrLz4sr17EgP3Xgdla+lS09S7482gjFauyEq3UAqjI6Wh2C2NR8TKuYw7jGhV14mPFNVSs+bx/8PJfKjzu5Slqz6Ah7MiL9N+2NDQezK3e4kbDGOFF2p4IEg/Hig7an6EhU3al0tYSGqLrjOLp7wj+RmECGRLXOoMbcGQuHR0dF8c/2UTHvNW+/K1MOrpDHFyvXyB5uMHsRfdzOriM2pEq/HCseb3j08L6cKyc9LnbQI0KpGSYfbCmou/B8g2XDlKxY+8a2RwaFYydpek3hVRUqiy7+7aICveX/XzGJyouzNvPvDGahoLFPz+kadJwf7JLcZMNDccsNW94Ebxne514z0igIddP2HIii4YNG2l27x7S8KV8V4huDQ2zEgWlT77REHS1wDVZiY7R9RbEAjoqOCVFrx6FkT7eU3BROxyNuw3f23uG41OG5Lnam+HYkn3EYkpfOJ46j7X9pU6Fg+u2b0fsqQgL3XPX5ygV1VvGHVhE7F32aaq51nUqLv3QVVV4RYXQVCvL8DsVgzpS36Om0bD4nfl6LQsaZN8FTL9N8rC18sao1X403OCLN4gI/s8fSq7Lo6EhJrMgo5IG9QtxyfUtxD/S8zcVW4XBUdp9xvbtYaizQFspKwzrztw4N/g6DO79t6dN1QmHRM+ZDe5B4TixsWOLxIVwmElK/ejtCce31+LBJhWBab/fzFtLrkMDGyps0ldmPcqiQsGqvP5RIRWa1JYNpz9QIfIc4cacSHBltVmVG9Hgszld2m01ybf+FvpHgnP3Ppt1RrEE37TMxMRzNIij8mReKB7rn/fPkQyDeLr1fnkYtvp4WW3YH4ZUqhJf/2oYVGvfap0n9pZZbXv7TD4c80+LPvttCAeL86JdPTEcI164N0jnhWOrlvdKlW/hiJsfPldRi4pg+RG92o5UzL9zUuK7PxXj3rpJhh+jouHgD9ejxVQ0Pd65Kr+DCrn5TZKF42iYqGL9cqw+DeyzbM8IgrOszIaKgvuE8TU+y2uZGIqu1r7UF/6h8Ks4OzepNBStttNflMqE4WtY19n1W8NQ6vW+JTGT4Oo0o2XWyzCYTzbaqSQVDrfDvswHm8MxalLSgsvHw1Fcu6dG+V44Cp1UDYo6wqG6z+ZriDIVoS+1LZ4vpeJcj97ol65UGCzMVuoOoWJB9q5QQS4Vpxr7w4NIHlZahRrTB6holFj09v66EJj92X/nKCMEfz5PX6xTHIKUtMUvVGRCsXugz/P+hlBQqvtKW1JC0bLTZfPs56FwGnel8IpeGKo3G915yQzDNL50mGNRGMZEMeYc6QyDRcjX99eWhqPjgo2ZYVQ4Bk9YHN5bFA7voY3ucLxadvOxcDIVBav0Vt1bRIX48PcZOyrGe5+Pqz9A1pEPn5I4KjafK6zb/TgY1o/UN5cqhMCDGiBYgBD4j3Y77eEdAtn1vooHs0OwMny8nlNzCHR9LOapm4RiTnq1vQojFEPHMF6EwjLds27hlDA0WEVHauwOw+yQbZtST4VBevuJrVrlYYia7TWY8j0Mwqlu+k8MwpF4oEelmuShhZxdtD3BeWp7x4rZElQcrI8r+qpCRdmxpq4NhlSsX7Bn7CuTYCjOmEKPpgRjfqf6z1Olwag9exhz5UJwKDAoS3cFseubrkxLaAjSLxVLlZ0OgUFYlXt5XQhkFrd3540LxeWAxfPNHULB+bNzrBzBuSy/b4Lks1C4fRh3rWdyGHRtHlse3xGGyKiXxdlZxP79Ks/N6sOwyFu6LlA2HNwPFk9nrgxHfObT8lmR4VCKY25rqglH8jaTvBp2EBS3tapm1AbBe8uU/vXjgzEl1c2o1iEYFUFt0gNJwRBxy3/ZlQRjmnyImxyxW9KxPC3GKgTzr2zcneAegqbkFwa5OSFoNjjskTEQAiJexRMPRLrP8Qgi9gprZmTm1ITiipftVr9xYbCyXn852CwMMvNljefSyNXxlJt6VRjOXWgPvjKa1IkAX8+bVuGQv9qrM+UvBYnWogMdS4Ng7v2lan9cEFTjFWKWPwlCskfi7iMqwRCfPtzjHIySlPoKGSqxv+/tbLWCYBz/xEp9Lx0CbS3xL19C8Obe+Hjl/SH/5lMhWDiicndFTQiSrr/79UwnFHdsbBjaB0Lh7O0ye/KFUCDv0g5WUyioLP+uaZPCkMBxk9pkGwalYkvCiMNgl775mXoKBV81S3evf0SBiQ9ndM1vCvJGmdqdMQ1CTuM9tfwjQQjYe97o78UgnLD8uOmCZDA0i3lXA6yDkbR2hOWt0GCc3T33N/NqMJS7+DGPPgXD/HhPzdxpIXjQWMxKWxOC6xftfbMjQjBvSolJXXkIen/Sy5lKoch5PupcxpZQsGKdv03ihuJgLiX9a2XovzlyGI4F2cn8mkpBkfiY+j7Kv98lUbD7djD18xMKnOJH7h0YGQT6mf2vNlgGYWXK9LWjaCQOFtEebb8bhB5TXbXZxN77Y5YGT58VDJaiTvz+fcHI8Zj1JfpiMNpLOwKUG4NhOreraMHkEMwWHPS3WxYCPW99uabwEKxQFXeCEPAoDt+qmkJQZzXtxKZpoZCtiDDKcg3F9j/tlsEpgZjyV0QqSiDOx1EvJkyn/Jv3UDA5PiszIIKCaR/cV8iVUHC38LzDqV8UvHKp6vedFwSN9w/HHd8YhFzJrMG/nCBMet2mcbw+CJ4HJr3ZOioY3yd9uX4fwYj+9GPC4yPB+FPlXdefHwxGgjiggmGQnybZbBqCj7Iz2n7/f+wNtWl/kNkegneB0ayR8wLRc+3E6KY1gdCSmv+xkRKIBzNXpz0pCiR185bR2L/kquR/PncRBV0ibUkPDwoCH0g2VZ4mcTtDwuR7JwVxa/nOX4yDMEGwf+S+vUHQS+U2zDoZhKG28jYI1/Pm6i9SCIacjdPHz6bBWH9cjUrxDMYr5z6Lj+nBsHJ1fT6nNhgfpEPCVGaEYPzMxm7v7SFQMRhPuXUmAOUKCXZ17QEwk//zabJOIJxm6uS83xaISWdeDh5jB0LB2UNFVB/4bz5C+fe7OQoeP4/SzzlCQWfc2yNyxyhY7tJSpVlPcA6Ilf2uFIS8AuWRvxyD8NpwVe8NYRAuNu2NOlYRhF1ODYaPpIKhoZT3ac5sEh8B37sLtwVDfm/frHcJwRgx9EYwboz5UVawKQB0LXHmBeDnquDG9rsB4NpduZrQHADno8nxrRMDUamjy3+EQEjNTLFUiAuEYa4UcXHgv9/HkXhI+Lk4cwEFVg85JpHbKKB2zHc5nEbBxYf5ul5FFGTyl8kHD1IgPk0xidQJ68nqm6QYxH5h4pdlJI4VJxZX9/QFwXjdFLlt6sHQuZZaeWRtMKj7suzmtPtDQLLul1IAckLuTtPdEAARS+N0YnrAv989BeClZ0r0458BiJ1okcWdEYjo6O/jzDYE4uocp0ABsbfCPHzx7vuBsBJvz3UHwrzvaXK3CgWlgnNBjk4UPPnt/qcviQKZj3N8ovPJ6+Niwk6B346NwYd0gnD7lIb+F5cghKq+Op6ZHoSonAfp758GIa7B4lw51x+OQwdw/SFWFz0f/VEtXd7eOSYAG9l+JrdWBUCK/qXzPS0As5fa6NtdDEC+in3gxvoAFPTKKXSpBkLPk35z1tZA2P0+F9rNCgTXMHzNQZJvygMOvxslKdAYZ/ZDTZ8Cs7R9t9tInUgKPDDhbzoFFjclf9YQe0+0udjoNVIwlv7oRsD4IKgPHbgJwsz1auVvDPwhngpI7fDH2Mf2RaeZ/ng7Yu8K9jV/1BF2jbf+UHMUnyAKwK8bOiYOSwMQUPnER8s/AEp3ZfYWZgbg3cYvu+TeBGCEg4ZNxfRAZNzaCXf7QPxdxJ2pyiBx7HL1xpfzgRCf5me+DPw316bg8oV9CS+XUbCH/2HdQAgFbl5Z7ezbFKReX1wTS/Lu/35H44+bfmyZdlV/eMxdMKbAxB+NrqWy6Xv8//0uyh+rMxU3Lsrzx/qB171l3/xxZ/SKQLl5JJ/eTBgftz4ASZKGWQ7eAdhtZaNseSwAmvcHKP2vA/C3fqpBtXIgHC/N4LRtCsSHx1LJK0k9E33MuSZH6oPimNXvWwcCwX86je08m4JnhbU/etdQEJ7vIM5wWCWfcv4ZGYhXOwzvfSvwh+XR+CkjjPyxZuv7HltlfygXtM+zXeSPlXzvfjtnf8yru69XnERwNhqzZNVNfwykxA7sJPFbct5n8JxmAFTG+9o+dA7A6V5/5gt6AAJvRn8pPh+AJfoWLpSOAARHjPohpRaI+MDB2YbOgZj+XCrILDoQwUMHOgMhp7ry4eeeQCwuS5+0QYuCwibqCO48Gmxd7qTmk74pZ15Rm00+b253a3/vU3/0ddq70c38MZdutzR8pj/4mgOrNLSJ/3W6nFavJjirZJd0h/rDROdl9Nkz/thw95dFQIM/3IcOXgZAuY4b6WcRAJ89xev0DgXgzq7bHo78AHxX2Bi6/FkAVnk4vXYaH4gEcw2/d8tInRXujTlK6m/7pXG3l5wmuKmKD3IyMbT9eJeB19NbdR4S/fVzR+h704MhKDJI1tNJJnn5vfUN+74/4iJK8qPm+IMaVHNp9YAfTq73clPq9INUdPlpz/H+CJSJ/vxnuj/k4+4UZC0j9l7MSn7nROJG2BG2y9Mfe06mFcmTfBx/dvxaq3v+MJXhKdo2k3hx2HfnjnwATDpleth2Acjy9wt9SQ3A/wPOOoGfAQAAAACAAACAPgAAXisAAA==eJxlW2NgXNsWru3Utttbu/1q27Zt27Zt2200TiYcZDLnnMnM1Lbdt9bOvjc/3v3x8qZtkn32XnutT6egM2Dn7MZ+jCnUo0O2GX4szzFS+7PDj58X0/25tdWPJxdLPVp20I+1234WWpviHrLeyTdR99SPLa4LB7f5/GiuK9b9jOrHvTtfJ1un+NFvz7t2v4P8qDY195frRj8iR80pnHDAj1tvnpzJcscPpdWpi/N3+lFieasCrc77UVb8AD8KTa2esDjWjwvHzqY/+sYP3Y5XSjqTH71P14yu39GP9NUn/I1o68fO2A8Nbtf349Hh5XtuLvKjZNmF6++M82P78XGl/eP9CBuWpvxDvx+9rg4rke2SH9f7fL6jrfVjztbp0Y/2+WGe2u5cMVrn+8p53h/YTc83Z/Ks+Il+xGVZ1CH+NO1DzZJvrnzyo8GJZZ8XZbmH/ffTzF+Y9x4aXSvZuEOle1jz4sKSCznu4ci3qrQ19+AoZIrJWc+PgCFGZ4URflSKXRZ4baYfe1/WcHSd40fTq4vTJ9z1w3PqYdWUtK8rXna5XXiFH9u62l6X2uDHjHNPj3+lr1/D5rkilvsRsqrdxvon6POMe/uz09fQ9zdG7Ux1D6HNuhzu9MiPXXUH5A6g53hacyYtxY/Z+4+WuPPLD+Pnsv03Gfz4837gjWr3/ZifYfH7TPnvYcSjiq/GrPKj7dsCg+aN9KPm2zotWk31I9ull3leraR/X6FCh7ZN/HAk86VIT/uUOf+PMrd7+3G1XfdJmWk/I6qZrlSm/RkR1rLoQLcfhzaGZepuoX3sMcKfS+9Hau9AR94LSZ/5u7ss8+Nh2O7AnZv9+PUweOwIWtfajY8+FHH48br88V/HNT+Sif/uoXPyKgebNKPzim1DK6Sf96P5wZID/LgbfLxq31Z+1Li7TNnT1I8UI7pdfFfZj4k/rhUpV5zObWfPZg8K+zGoyd4ro2n/L3G5FqL942/rQfufrsDBgeX8SPnqWLdejeh8FyTruq+OHzfvVG04ZI0fLV+eHruUzrvNgcWlDbQPseNe5XD180Nft0TbebT+scdPfJhJ59E6dEGhOqN8mFPfMEa/zoegXhfafzvhg6lU2AGH3odC1sc47vehR5XyZwJsPqTarJmsv32oleL93YX09x+3jaUt8+H8tEzhA9/60GbFlRVF0/qR99XKCeuq+TE5XY+xX+j+/XN60h4n1c+GAUfnjhvsh/UcfwOtM92mWhvpPFypunxN3tqPc6nWGffQPnnTFr2xZpsfHRd9KdFiuA+B+07VezTSh5ndazaJW+DD5pxbhuSa5IMo+wk+0C//M/uSD18LV677ZrsPRecF/3wY7MOfvee7ZLX7EB3F//mQbnuHO4ZAH65v03f58MKH3L7HxUMC/Kgu/vPj8qaOA75X9AO9+l0JfeVDnZAvUVuT+bExufrSW8SPyqIQ/Jj+9v7Wh3RvLaeS5Y097MXTvJuDfb+92JJhWMYmWXyo/LRr/x5fvEjB3/bWi+SrOp8YmdWH+r9q9jlWmL76O23YNdGHuFtRz6/u9qFYdO8aBw74sPQBFxatX2yMD63qVJpt7+XDztInDnva+bD6k8e9ZJoPb63GphfG+NDp+eDfh4w+7DKbnjzUfKAmV2RxHH3frGz1uz2j82j3+HW6U16oe5rSlfLicLU/CywrvLKPeTGjT/vxjS56MTcfdw6v7GtetNyTuZo13AtPwu6Dl01eLH3qM5YK86Lgywe18uu8WBHDBeXFkmanu15L60OXZWPyNiruw6jbyQ8VaUnr4+vYxgdRBgXonJB39puGdE7cBgb5MJ662bRhPhwK30adzYuP5+o2rtLKi+O1pkwNbeYFrypzLi+MN1vQSrxolFo3O01mL3J87f3DltqL/udP62tk8qJXscdlXI28KPq2R4WAhV7c7Vii0o5bXhx06H9glReThhf+vmyJF+1mjk/1YIYXf59WGTRwsReibe3z4sqpQlQiXtnH6PzKtHG3D6H1TJlwOu9TL3oeOndBGZSA2/XH3RowOgEjc0ZWurAyAT3jBudfuSkB/Zo2eqaeT0AmUTgJEMeaw4uJ7Tv1fpDci+qd8/1t9DABYXdvb0jzLgH1CvOfJGB/7qBnFVp78bh5YIZy8EJs+yCv7LNe8K1Y18kLrvZkXb0437P0r6707w6+PWVpV9uLIqLRelElhza1stkDc8qIk/3vezDg1JadER4PBg7bddqXPwFmqorOVRPgXrl2yp/SCagcMX5zm5YJGFzkwN0PfRLgrDK/efs1CTjwKYQ6cQLmpMn8O6B/AobzmKHP044OWLH9UALOVLmZ7dHhBIww/PP548kE9KFqzbQxAdvOLO3S5kACIrPxEybgpblzx+vnEpDh05oGbe4myH7pQakB1b+P3OeRdefBcpo+Hx97ZN/0IDVf+2gPatHtOGr3yD7vQe+618NnhnjQtczhNZfpc6BrmuOnxYNGkR/vvTlPn8tkzXjjpAeX5u98qvd68KB3nlv2ZAkI2jLnUdY0CaiTi1eegMlXjqZxVqHnbNm3/KRWCSh4JfehFIMTME+7f8ma3yP7qwcpxCD3YEMLp2q9p6G3ucCeVn80KDfLXmtS2oPshSfQt3qgpjO9/JHaA+5Cwwt78D3r81uXUnrQtsmtXTVaetBiSSMqJQ/6/rNy6tEBHlTb9Euvm0Y/v/WEB48WerB+lM0GPa2fTv/MFw/aLN7b92a8B4tpV1IrHrxLmHf70W0PCq9NsaB4Jw39BpW8/ri/hnk5L7a6P1fD7KHx647s18A/bdVRDfkEsNBgW3h8daZzGrhaLzo12b81nBzybfXuHB7s/jGn25YMHnnvPPgZ+YY6iQdrmgx+bCvuwddHQ47E1/BgkX4iPbIHrc6bqcN5UOj832m7//HIuvVAK7pt/f4VHhzc/Xlo2TIaRmU44FZKaeho39L/TzMN6VLGBq9qp2H/BL4JGpq8HxY1gD53t4TG3p6sQWzDKg0Hy02nUtWw3jM62aQlGt6e9848ckfDqj/pK/eM09Ct+JqBLa9oKNh0x96GNg1/X7VaG35ZwxlffqW8XkPw+qF3Trg0fGF48FlDlpAqe8rnTTqfXMke5qvxSUXL+WVGBufVcLE8Iz8VfSYyElIhjuWtimH7Q9OvSEd/rwya2akwPcf+hLedc2ry3miIZzhYWwPfflNDDTdOzgkrV0/Ds6U/dtYdoGEPoYGsdC6bJvd9d/SShv6zPnZflZC07sR5qSFjy1IzUuzVELUrD11BDTuvZppyfp2Kt0VnnrTNUYFCm/KdXq9i1aleBE1U5FFjvnZ7qCKyLSOqpK+HjfPnJP+iIvO9SpsPf1NRm9tFcg3lxANqeHy7W73ef1WEZR/3vlwyDYvEYFfxIoIBq4roEouqvKOvqZ6uL/s6s4boNHuGP6qoofrax4Q8aB8y53r4q4MGGt4VqgxXsXlcM3OdRSrW9uGCVlH/0Ujq9PR7f6ubcm5R8XfHDppQKs4O7k5XVUXx318I4amoMpwRoAqu2pwXVXzKdTzfupMq6FINvneHzkGXaqI3mv7+c4um/WJUZNuauv29eBXTFg/eWDhURW7+59dU9Boc/qJnrIqbbS/X2f9dxckMvJEaXvZkYKWCLvvBeVlV3OJrmi/p6+flpQp3rqXiGaHQSw1VNNab1+Zvr0rcof73fM15jPVVkUIAKxX1Ll0hhKhKHK4i00yeRCq2q1z4Ku4eDhnRcZcK56rKhGzo56/Kbji2gX7fKHRtvlJFRgHcab9j+UKqKFjqUkzVovRzxcGrEHSA1rsm07nZJT4qoCZcci6tdxmXU24V+fNkWT48uYp+pXoXjPmlyP6iYn/1o9drf1NAYIlukILT6xcdmnJfwXFCgZH0c/79PcnEL1Ixemeq02dGqKAfFnB7hirvrYpxC7bYdk6jP3cuzbMgNf2+MWeCCtHPoU2/9TxWQaYUFVblVhX85utBf06gngaOgi0Lf9abHKOg/uSY1Q6fAv00BkIKXMVqGzPTujIO5BNWkdq8qeqsSknPy7cgA+1DdPKldefS89zh8nyqYCBNl+4/FbzL3brzr7yqxI9UN4Sa/6ZSJV5TYOV25VdAZKVYA01BDtrtEvEK+ls3bmgcpGDvLCYKCj7w2NilIKI2IxcF+Wt86jT5ioJS9fkGKsh6PUWznrcUVFz698LwMAWMapsrCgb8afbj9UsFBFKrXvmuYGexjTOmUF0l9ncVvybxT6A6EANbRTVC4QHNVZTvNXvXOnruFu9CidEp4Om/TKfg/OYPhIwV5O2Xbmpng4KTC33dj9NXavbPZ0cpYFYWaFMQWzF9526RCia9W2HtrldQWzRiBetDltYYZlckflAg4OZzeq78n7NteEPrv3U9f46vCgrNapv25V8F3dd/rH0kmwrL/ahLT5Kpcm4pcNQ7u7foC0XOAQXravMkUlDC833h2KCkfUmcG/T7CgzfuuWagnONGAArWO3+nHGmUQE/ZUdad0pRkMp/57Kb2xh9/4jJ24Pq0X6KXxOi4Ebtb4bhZxXcb8EMRkGZnMXvZaPPXF0LjyugZk0dW8HneF3P9FTvuXrtWNCLzrv2+H50xVRULbX12YicKg5m2ri1F9UJDb+15yIUGA/O/DbuqgJGl4v3KsgJS8KN5QrqpRl+adYiBbnzXr3rmqbgGcO8BQoII09Zu1HBcAG4FbTc/iXNoN0KMouBSOsf87NXT/o5K5qmolatQIx3OrcWYjAruNyQibGKCdOGzTXkULEg9RjLUTqH0Ty+zfR7Aph5KxBwi86/iQDwdG8CGKEqmPO8dNV05xWJ7+mcppfc9XcznT9v12IFl7aPWD1sgCLxpYLeTL8WKkhOrOIIPc+toYvUhnMUnPmZjKCxgmVUFdNnKpjBtGeigqjGI379pHlRPXeHUWWWqahUrMin8T1V7NvEDTupbp/W23C9O93Xh92SEfRI2sdDl02EHBWMmZ72SvUVVB/duWKpbs5UOPSYfu+3ydYpp6Yrcn4rSE3dulshBeKxCioowOVYVEF28Yvo+2la5ixO58E08x8FtLiMaZtqcI5tnTDsuQrXDhY4VKT550cGB607Uf9Q/7v/z/TePoGvk+rlMaGbxoeS6uXfc54qBAO6Tw8NSzZXVBDg6kelqaCkACgKlpevOe9wLqoPMXjonlVlRujGvpSppn365oYY78/cEHD3vIbs/jU02WjeEYs52VxD1Rj/8qaptP/mUGrqouMWqOAuWruTigwr0tVZXl5F0LWZnhVPFIxP//3wKLo3GULjYvetpftyfYqp73wFJ3JOn9dmmII8DJuqU9+m6mtP6+oqCC/dPy7zSDe2Xtwz/1p00lcCNw8mP3Ejz4ha4SVLeCDoXJCGswy3F2t4sz1L/N+6Gsp0fDOrbAbCqYKAqhDtkObsZCEE0JzMOqCzv5r6Xz87UbEZUTgFQ9akpRtMfXhy0ZIZ6R40wvpshScoqGu/2DSC9jV5zRvjL9D5iW2gc36yhQmcW/4eNw6mnTXq9U03ug4ZXyy8iQc1MxXJ3o3w4+slPWlSa9j3h4GahlJpluxotk7DaWIta5poOM7yV0rCJxneTs3uV5EvVc8sla6qWL/85v52U1Spi6h49Q8j+6S5NE8ISIrkIwoW8RharYCGRJ4KYxVsHllxb0xHBbOoqls2pPMe6Xo6luogaM7ZZhNXetAh/vSq0dM9kmd6cC/e28BVzCPnq4Zmm5flGKlp6Lqvzh3/EQ0lGR7N0yRf0PBh95KIb19VbKTdHXQ5qR7WzszVdWFXFazGRFL/7cP0g+5Zl5zcGRRcm/fhcudxCgRt7pdUB8NLsEKlQLRhWle5Z1+2WkYnrTMosgUhVg/eE1s6Q3j7EctMhL+/1WLA5ZFzg/DvmdY0MTXs3b504j9jCFde/12hAuG2s+8dHYZm0yDkOg/hmI4sFKhoKjaG+hmx20lNCY/9jpv9vLQKPu0cNFeF3HVMwUjxH80xptlFPGg2jXfC8x8P+pcvMQq4l9GDBkJ4ScLtpZ7vtdb2EC6fywenITwTI3/qA/Svt53R0GAkKxEatCeWT8uJN/yLQxN5nyr1QVXqZarE9YR/mfZ5FUwXQFfBXW3t7xFfNeSkKf7ukwZB839rqOEec/zEBw3bA1iR05B1V0GalB6cKzZl04msHhipawxO4cEObr+E09sc3dWl4i0NR7KxUkM8oxE3FsL/edJPqEv8JHE/NPBUG9ydPi9rX21qbg1CvnuqSt1AlfoK9bf2XGGqnDMaei4102TWsIRlh1Ma6j1f8HAc7ceBFQ1fv3NrEDSLPm/+enZH+lANr53vqeKSeNy/+1dyaNuSdjp31yu+aBoKCAJAPEMMRA1dROPSMEIAceKNQijVIOST3yoaHB4fkYv6RKL+rKLWi2L5vXQviSRYqo/WsIPLaL2GPMSOGyyjPkPd5dMaDUM9R6PS7NEQ5j7YJwf9vh23SlCnpXuRiQVVDfdCshA01WS9azjc/ef0BrRfVZTMntwjkuqzIk2VybNonWIDNVz9dCTji34aygrBgPjhwxP7TEU1vGIZ+aWK9PftluzjVExpmMF9bLKK9nwdaH9LP1p2MPos4WzHemLqKhbWTJvuyTMVxEV7tCZ+0C/mxO2zr1TZZzUIuFtOg6EGNyoNRCq26btQfTJ77UHnnz1fz/ctNcwRA0lDe+O77FWpLlcx/SMeuDJlMaIqSXWKmgPvtqF9/Ren+oi1diyhQsi19YkPXeWNoM+tc1dZ0k+VerOKnDtnN1a3q+gmBFea299H7ivgVDH7TcP+U4mP/Tsn64xqPmbSOxVLC26v4iSel6gvqlLfSOr7gl7S18KnnrWuTHwvQsiCKkKCkv18Fqf+N78/1ebKVqSOQ7iF5TzCI6/aH/mYn/DKXDEYCC/96D/BTLgxbDQbJipuX0pJT6yiHNOpuiqeRGa8vInm9VE6tSfTVamzq9jKcsvBJB4Y0JwVXFXqakmfo2dwR1fRQ51FkFmFn9vBUrfUKd1SF3GjL9sav92YVJ4njILOZxfUK0x988oErhwFYzt83NiNnqtxh0r9Xq5TEF14dOqVhLMS75WCeJaJ3IRrr7FBoqBT4dz0LQqcXy6dr0H4fd7qljRSVQzpxIqsiuvnGLCrmPl7qffyBBUt/jnWe+IYFW0FEXJj6JH4Gm/ruOHoygfnBlfLky20zhyHT+684MaVBAednBtC/vjhRkCZr/VzpiacIgQuBexW/ChD/Gz+kGo9qigI6cDCtoIvu7zbVq1IwrP2XjzJFBTvfkZNeYHmhRCIFQy+XOBmJZp/iboU4Q2W84kP1qufjyhfvMTp8bKPx6OHb+Pkvu/iUZ3bUUo3xHgp5MZzmj65O7jl/HJLHuuGoD86N47uH92r2GO31BMUFGE5PQvh2Q7sZBFfeugf1b9OEv5qvrJH0BbCiQuKdyLookj/QEHrAqwc/YsH4/GkeEjAtYHxmC+AQTwmNy2WIsuReNk/4rGtF1d4PD5/PFk8lyUe7Zjmu+Iln3FDwLIcbuhibxNicSOhXf5jM7q7sYxOq8tIN5gl5N3sxskyFd8vvurGJ2M66hxuqaO4oS/YcOEkp1vOcTd2d2EGpUhfxwV1fv8C5S0uaCkv6Da7XMgrBFIXhFxVNB6Zja1M21vHw5qi9OSXE+MlXo5HudeZaTLFo6loOPGYsLlNyxhDPIYIIhOP0/VYKHFLXu9GrW2TCJm5Ebl80IundA73G3ODcEsdyC37mhuMKl7TemsJoORCTK3a9GguVL+/68ecbi74CCU3nebCLEHgXaAf1qL8ehcEXL3lAg2N1u0e0/PUGVqpUep4pBXEOR7JBIGnfWWZdnM8agviGA8iqe09ofEQMJP2/xovxxMvde14JGf7rIgbonzLu/H+AAt/blSM2/uk0Kk49Eqfe1X10DiMEYJ8HOZXXPBs6Y84DMm/ctPqci58YDjS24Xbj1iYcuHxhyKOSYNcEve5pL7kgvi2nS6M+hBNT+yCsFHNLukPutBpRnj05JTxENtePh6FUl51ByIeq9hmGB6PSYG2/qe2xEv+GQ9W29IViMNQlj/bxEHIcBPjUEQQ0ThctjKhjkPjn1uKVzsfh2rW8D6KMw7dUh/bWi+5C2XYdsnvQsKBG57KNVwSN7lgjyy7s19fWo8gcC6p67qQruG+HofOucAqzLxgl9S3Xah97yNVpAtCJkhH53BxeFhLqishOy1xgln35VNO/I1ggc+Jub98J/HTKedQHAjUNj9WPw5UhIRU4tBnZZ1484Q4hJWrtzVyURwWL12Xq+buOPC0uETPkagfxGHl+Ymf93+Kg7CR09N+H+EL7kJAxSyjFtZ0YaAoFBeyHGlLLdSF5OKiJNWTsPuyOCXuc8LDH1vQutjeGOFEX0GsnWjrqEmV7USNxbcaL33gBLuqx5LHobDYuDg0qMrOQBwmcHuaSuuNK00TLE7qwPRcs1jQjpPnllRPj7TOhGjikF0YiXHS93ChxMfwIpkauCCOe6cDp/maX3FInuCA2pcFcwdO8Zj/4AC7HQfTOtFYGCxO6ac4wSr66F5O6R85pV7pRP+izHid2H0s7O2EH07pN8ehPsspjeLQrgh3zjgIur0gDqKdbkl6jmYPCtM/icO13Qp1FgeeTGejjdbVlImGAzT0A3bOdqA+0/KNDqk3ONBWEAEHaHO7XXznkH3PiXbCUHci3zR3jg9NnOD/jR3pxMADwxp/mevEkqvles3e5cRkIWA5caDyujXRYU7c+bXqk8ftxBQxcJ2yH8TJuRSHEtXOP9gQZUd5hn/P7BCP/9UOARcDHNhxiIGcQ/qvDgg7fpVD6ikOHK7NBotD6vAOCDmN1j1mfXwXVyonzjI9KeqEsCkaO5Gu75Ji5/o5UYvtfar76TymDzoxVQicTqR9+bfgk0inxKl0Hu1Z6bVjSWzWEstb2TFXCL12qSPbIWSJcLv0h+zYsJ8BtR0LCQVUTO+QvoQDkweljcnXxSH5uAOv8rAz6ZC43IEaLKsaHFIncyDZmQ77E946oD99vGPjAFr3+YJU6k54ecwPc+Ly1NFbXs93St3RBvP5PM3q2m2oIowbG0YxHU1jR1ZhBNkhYGkbWlchRnZ2iWPtqMBxgVN2qYfbhZo132bHvbbMZOyo0mqT3/PJDiE/ZXUglTAUHIh/wEKOAzWF0U/1ZGXB0yF5jAPCNklwSFxrk7qODZ/Z5ttpg8Iw/qQNoryCbcgjgKZN6oY2CDmrvB0bL7EAZoe4DgPs+M3ltMQucy52Oa/syNCOT8wu9Qs7RFv22XGaYyHv7WAXcExeB4RtUMQBfqpRcOAcsZ242FgwSr38J1byYpvESTZEdOcTsGH+6z2lko+1oYcwuG0Sv9pA3zMkJMgGEWeg9Seemw2DhFBrxwGGM7T/Qm5qYZd6vx21xSCx48r327W6r7cjPC03bjuEvWui58pXN+M8zS7zOLGSh8ZK3BeLyz24cGIhbMvkNtmnbXBY2HCxYcnsAaGDa9sQNH1b3lQ9bWglBBRaH1+zQzbJ320IaPOp2trHdD7jn/48896GS33ZILVhFtOJSnbUT95heeZOdog4w1g7Xuk4wGHHlzebiCnaJe+LkXp9DBZci97wPH2s1KljZf4kFme4jIfEYvViNuxjUT9s8avPb2LB6sfYLDZELeIkCNVHpWl3K5a2oU5b7iw26X/bcGMNB6Rs+Bq1NVnNGzZ816q3SxFnQy2xETaI8fLdJvurXfqKdlzMwYMmGlH88UK05HXRWFtk2Ju+TWNwjuWgzTFSf4mRfk4shGzePhabeHxOioWQiQ7EyvxUrOxjNgi7mNZ9Ow07QzZUFQdqw1QxqKm+iV0P32DDtxMswNsg2vVFG5hdrbDSObFN646S9zxa5lCiMdXUl1p+ND42YGU2GmnZHnsVjdkCoMegr+LMsqhDjOT3MdLni5F6fQwiOjFhiYWIG3WJlf0iVuZaYtGdZVhbrOSTNukv2mQ+IqnOh7L98D1S8qAoOUejIMpta5T0BaJQQBRgNGbMrEZHF42wyl2Ca16Olj57NNa3fZGqRvYYeY9isL8zV0IM8rK88SBG6jmxyDa31rlGvWIlH4pFFgFwYrFMF3Gkxc1Y2W/puXT9qCXE4izLxJMjMVH3dFV2Q6TUGSLRiWMYJaLQUhCjKFiOPn81fHIUnqTmzhGFnrfmdpzrjwJdgvgfxaOl7xaNqkxPl0cjvyDo0XJ/YqQvGYPaAuDHQND7wBiIP6b1J/K7GDlnqI8MSGiZcnas1GcjUEQYuRHIPH7H4Cl1IlEsvEn66hMiwW6U72QkxmXJFmV/GIlqIugUhfGzmRFHITPD4NFJ6070maNQssVwapXRku9Hy74SLXN30RLHRWNXhCd7x4wxUt+IkTp+jMTfMVJfpfVlZ6c7QurcEXhBu7U9KAI3P7JAFyH9v0iElywxakinSNTjmNymSDQSgkUk2m+sf2LZ50iMebj6xrecUVggBIooDGE7dk0UjjDNM0eB1YhZH6Ok7hcNTq/86B8t53G05OfR0meNZjOTCJ4VAt7dsYJdhmOPrOiagZXaCHnPIvCm1AZ7vbMR0ieMkL5ghMxXRWKUMN4iQeTp4IvNkXjCdk5IJL5zzPBRJMQ25otCRo5PtY2S8ypK8sMozBFGR5TMA0XLXEW0xIfhkqdbZX7MKnM+VrB70vu0VeIDK1azTVsiQva1CIhtWxQhdbkITKLV7bsfIXlmJITc3D0Swi5eFyl93UgI2PU1EiI2+E+U9MujwGiqxKIoif+i0EMURjjsxVnpDUet6Pod7VvCEZQ6R05YwrGv7834POmt0k+0YsjvQ8b5c6woxHT1kBXv1t5bVEG1YqwYJBEYKIyWiETbY3AEKpWuRaUdAU5TzTVEQNiAySMRmLXx2IAykaBL9k2rTuumXd09JhL9Xq4jxhUJQV9jIuU8CEO9xow0wtBQGLnhOJaGk0Hhkt+HI/uGN0VnngyX+kO4zJNYJT6wyn5plb6/VeJnK4TN9coKYZ9npvWy/VArAjEGNqAisGtzVuo4EVI3j4CQmTJGQtgrNSPl/AqT+dEwtBJAMQyc6nrqC0NxtjVovc/j2FgKx43uLHyEy3MIl3mMcNCwoVIPl3q2FSeC9XlKd7Oi4M1KEeM3WyX/t8q8HtV7Xp40EWi9Nvzy2toRMn8TAWFzrImQcyQCfZmGH7Bgu692yJcoi/QTLDJvEIY5DAPGh0m8FCbxbZjEc+HIwGVXLxw05KnRhmOKEHTD0WcM3zB6LpbRE8KlL26VvpNV5lit0s+3Yj/D89tWTBMBRavkHREwdPnwomBKCzqIYJJF8haLnIsWeV8t6CgChBZw2upQ/jDkvDaQIEQYRFubEYbrG8+WXn03TNZ9GAwrWVgJl/nEcIlDw3FpFidNwiX/DIc41hRWCFmhshUdRSDaittbCxVYMtuKA+2YmZjx+jMDGrPUQc1Ifyo1QTYLUiReFKkbW2T+zCJ9BQtKF+5c63GGMMkzwsBqwxZad2I+OUzOqzCZ+wkDqweNEC51qHDoGtWb8fhaOLIOZaYQjiNHFhGTtso8rVXqHyb075t5zbyKZojH6GKW99SMhMrsNJhxbAYHU80Qj5veAnb51re1wMx0eYkFXUUQ1yJzgBaZVwlDm7sjP0TXCoNoRzPDMPvO6rem82Eo+6EkHX0YsotvCIeI39J9rCQASLjU5cOlf2eCZQUL1Cb0EsE4k9Q5zbjC9m5/M0ZH3snZa4cZBAoIsJlRUBAOM1IObrBs5R8zBnA7rmABp5A2DLBAyA9bLHIOWaRvaIGw+9KH4c1LBqJhMlcSJvFZmMTzYRDyX7JwDJlS5+O5uiY5R02oIoQ0E2go19tw3STxo0nqDGZMY5gEs9RfzRjYjpG5WerCZhxqwIqTGeNZLgqwSNxkQfktzek7LNK/sKCKCAZapK5N9TKAG2cYdrPc2jcMH9JyQI36nfg/RrQQjcUoc+8mDBODwyTznibpb5ikP2NChxD1ieWTSfJTM/beXDTiRBszRNxmnBllgicR1DLLfKYZlrX5CaGZcaFLVvuzLBaIY6d1c1q3dEcLfthSE/S24PVBfkAL2LU9FWkBV2/ahkbE12Xj24hcgqAakTDsebM8cUYI1P/VKPVlE+oIg8ok+4gJMwRBMmH1ir7OoIcmpGPbNqMZq0fzBDBL/cqMS0zbNphlDtgMP9MrhxkjhIFvgZ/LobgF+guBc842s4DTO1UG/bu/Boj04HeD7B9GjGRbrWXSul/sYIHTKHmTEdl4PNG6hcxH674/tAVBaRNEjOGYSfphJqknmKR/bUYbUchmiRPN6LOuE02IpLrm1EDcK7P05yxSDzTIvKABzYWgboCAScmMOBfr6vnqn6T1JuJeo8TpRpnDNOJBCTbejBKPG2XOwCR9raS6XjGLL7AJ7EZM/Ez1o/3ZsaO0GYWEUJbUN/7td4l5BL28fwZkEEKXAUK2PGiAdp4NGQMEPP1qQA4xuKhO2Y5oYURXLqehRrArWHanEXkqjKWlGOX7DEYIuPvRKPmdCaXP3iKmZMJgEcQy4UUjZswmmV8yyfyrGXdqsTBsxjqGH1f0YPW1jUOPQRyv+qGXfNcAL29PN4PE5QYIO+WYQeoPBvxk2TvAKN8jMeLHhxSvjnUzIiBr2X1TVxgRytfqOv39w6+1fqtGjGLb/osRO96/rV65oAl/+3GiwSRzySZ0FgErk8TjJkSxHTVAjyYLIvdXXqcHp6r6n9JL/V+P90yTnumlj2HAiZEMRA0wsU02xYBxS08TIjdI/maQ/rEBlV6NWRVK+1xPCLFGCLjbl+rl6ltCZEYca8wJWqpfmq5XaZ83lmBFhvpD1VmVihUxybyDSfovesmL9RCvBdB6xXLX6NFcEH89hI0To8cwAVT0MsdpwB3/kbK2Mgbki1gzM1dXg+T7BohY21EDRJw7xiD1dgNaiyCQUeaPjago/sAo8asRx1nOvGYEpzLGPzUi9mu3hyf26SBk2zCdfG9AJ/GdHhkz9fG+qKsHp7P+9ktad2L96sGo5qlej73cPp7rJZ8xyL5mkHkVAzjV3OoUPc8J1+bbYQYIee+xQeYmjFLXpHqowME8I+aNG8xQHkJugU7iIx2y8djcpZN9WIfHHFd+q5PvMekxVRgqeqxgW6GHHqzid1iul3kCvfQd9VJf1OMj2xBpDeBUVbU6BqyvlKpu2SFUvyyLrTdA2MYXDUgTOMRzNMqAqLlVtwe8NmDDXDYQ/z13HUrksuReWlAHTgfvbKSDsMuH62Q+Q4fIEH4wncyz6GQeUg8hh1fWQ9ibnfUgUEgXQy95lx6sQt2/pMdqjpk69TLPa0CxBqyA0L7ydepF6xMA0yBz4Abp4xgwgVDqzaGhMscUKt9L0kG8DldEJ3muTvr/Opl70CFwIQfAdRLv6zCM2/M3ncxz6tFQBIj0UpfSy/mhR+bE4BumCjlPj4GVH9Sv+lIv34sxSN5okHiazj+w+ed4XQjEayPpQuX5h0o8ESrfwwgFq7daAZ3M9+hg27eWGKJO+sA6mYfX4RbTQ6sOP4Ysfzf6oQ7DxQDVS/1cL/0zvfTP9BAw+/j/rzd/oqCB5RzvqBki+WKI9FlCpK8Sgi1MXxqFort4wS8UY5JNWpLKHArXbE7I6fA9JwfQdcgjDDOd9J10GF2cd14n8xw6lBbEWCd1cz1W3eeBo5e8UI/FC6a/iBilRwdxEfSSj9Pfi4MIljnxYEwTQbYQ6bOEYCnHXG6FyPxiqNRHQuV7c6GYKwykUDBLbJdCh3Isb5TVoZgYDDqIeC7tb2LuSocHbMfqdegiAsg6qfvpZH5ZL3GzXvITPUqJQFKwzFMHY/NhBljBKCaC38E4kJ0HWgjOM/ztFIJUbL9eCJF50FD5flyo1M9CwWrV2auh0l/SoVniC0ny/SLaPyE06STPTqrj2/yalaKT+gc9xyU2/vQS1wXJvFKQnNfBqCCM+WD53lOw1EOCsYdpVXna1wssbIZIHhiCfBzPeB+CHWzPVQyV/mYotiXjIF2ofA8hFCf49b0Ancwt6iBii73psxD+dTg+mYMuOgj7X6eTOb8glBPB4SBUFYGmIFwlNlgqKkj6+sHIKxpCsMTLwXJeB0ufMQT0gSomROLipPv27/6W5ddo5iT1icScnk7qYTrME79YJ/U8HWqE7iXkokNy8cJWII6xLfQpUOLnIExcWeDd9yFBsl8n7S+jlVEZgiFi/92CZQ40GBNY/qb1JubBQjDlSS9aSoiczyEQtq0SIvleqNQFaP38GtLWUJQURleozFfqME40NJ3Eb4EylxIIaipvT1kC8WI2C0qB8v2OIKyNDrtxZGgQTjBtvxYEAR+/BMm+ESz9+mA5T4Klz0Ff2bYtFIIm4oWakP/62ThBVKlfiBcsQ/ErmdgoTBHBiVD5Hm8oyvPrL6dDUOKbv+3M8fT7WaY3BkLIuAcC5ft2tP7Z7AwEgtO3U6sHyfezgv6r31htQp69L4NkviBY4vpgCDi1K1jypqT9LSACpiGY12YYUfsQ9BWBzhA8LcRBolC8rMtBmlCMDM5LyMOMh784AKL/798nvq8TJPWMQDAL1V0IRAMRWAuU/k8gGhGbL1coSOryQRAxvh1BMkcehBlsj2QJlrnPYAh1YV4w2gmDOxhTUnIyNUTinxDpO4bI9xRCZF7DCmG7Xwj/j38JGd5AfT9FXNxVqvffVZrOvj4lSL5PEggRy5oViIMl+cW0QKlLBsr3kwPxeywj7kBs5TjP60Dp2wfByTEGuo+J758GyVx3EERcOY7uJcuYBYPxgGX5wcH4HyeNp6U=AQAAAACAAABsYwAAmxEAAA==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AgAAAACAAAAAegAAiRMAAKISAAA=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AQAAAACAAADQBwAAFwAAAA==eJzj5BwFo2AUjIJRMApGwVAHAOOGRlE=
+  </AppendedData>
+</VTKFile>

CylinderKnMa/Kn0p20/simulation0382_Kn0p20Ma5p1/Surf.pvd ADDED Viewed

	@@ -0,0 +1,9 @@

+<?xml version="1.0"?>
+<VTKFile type="Collection" version="0.1"
+               byte_order="LittleEndian"
+               compressor="vtkZLibDataCompressor">
+   <Collection>
+    <DataSet timestep="300000" group="" part="0"
+             file="Surf/Surf_300000.vtu"/>
+   </Collection>
+</VTKFile>

CylinderKnMa/Kn0p20/simulation0382_Kn0p20Ma5p1/grid/Grid_0_300000.vtu ADDED Viewed

The diff for this file is too large to render. See raw diff

CylinderKnMa/Kn0p20/simulation0382_Kn0p20Ma5p1/grid/Grid_1_300000.vtu ADDED Viewed

The diff for this file is too large to render. See raw diff

CylinderKnMa/Kn0p20/simulation0382_Kn0p20Ma5p1/grid/Grid_2_300000.vtu ADDED Viewed

The diff for this file is too large to render. See raw diff

CylinderKnMa/Kn0p20/simulation0382_Kn0p20Ma5p1/grid/Grid_300000.pvtu ADDED Viewed

	@@ -0,0 +1,31 @@

+<?xml version="1.0"?>
+<VTKFile type="PUnstructuredGrid" version="0.1"
+               byte_order="LittleEndian"
+               compressor="vtkZLibDataCompressor">
+<PUnstructuredGrid GhostLevel="0">
+<PCellData>
+<PDataArray type="Float64" Name="id"/>
+<PDataArray type="Float64" Name="xc"/>
+<PDataArray type="Float64" Name="yc"/>
+<PDataArray type="Float64" Name="f_1[1]"/>
+<PDataArray type="Float64" Name="f_1[2]"/>
+<PDataArray type="Float64" Name="f_1[3]"/>
+<PDataArray type="Float64" Name="f_1[4]"/>
+<PDataArray type="Float64" Name="f_1[5]"/>
+<PDataArray type="Float64" Name="f_1[6]"/>
+<PDataArray type="Float64" Name="f_1[7]"/>
+<PDataArray type="Float64" Name="f_1[8]"/>
+<PDataArray type="Float64" Name="f_1[9]"/>
+<PDataArray type="Float64" Name="f_1[10]"/>
+</PCellData>
+<PPoints>
+<PDataArray type="Float32" Name="Points" NumberOfComponents="3"/>
+</PPoints>
+<Piece Source="Grid_0_300000.vtu"/>
+<Piece Source="Grid_1_300000.vtu"/>
+<Piece Source="Grid_2_300000.vtu"/>
+<Piece Source="Grid_3_300000.vtu"/>
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CylinderKnMa/Kn0p20/simulation0382_Kn0p20Ma5p1/grid/Grid_4_300000.vtu ADDED Viewed

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CylinderKnMa/Kn0p20/simulation0382_Kn0p20Ma5p1/grid/Grid_5_300000.vtu ADDED Viewed

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CylinderKnMa/Kn0p20/simulation0382_Kn0p20Ma5p1/grid/final-grid.dat ADDED Viewed

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CylinderKnMa/Kn0p20/simulation0382_Kn0p20Ma5p1/output/surf.300000.dat ADDED Viewed

	@@ -0,0 +1,209 @@

+ITEM: TIMESTEP
+300000
+ITEM: NUMBER OF SURFS
+200
+ITEM: BOX BOUNDS oo oo pp
+-5 6
+-5 5
+-0.5 0.5
+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]
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+50     0.015705     -0.49975            0         -0.5      0.05074        2.056    -0.032295       2.0558      0.69876     0.010977     0.010468     0.032463       414.96            0            0
+178      0.37506      0.33066      0.38526      0.31871      0.00453      0.16548     -0.12583     -0.10747      0.05864    -0.068658   -0.0010554   -0.0027665       35.422            0            0
+51            0         -0.5    -0.015705     -0.49975      0.05567       2.2503     0.035346         2.25      0.71511    -0.011234     0.011788     0.035165       456.54            0            0
+179      0.38526      0.31871      0.39508      0.30645      0.00419      0.15165     -0.11835    -0.094817     0.038685    -0.048286   -0.0012513   -0.0022478       34.826            0            0
+52    -0.015705     -0.49975    -0.031395     -0.49901      0.05822        2.391      0.11263       2.3884      0.70443     -0.03322     0.012834     0.036993       453.39            0            0
+180      0.39508      0.30645      0.40451      0.29389      0.00429      0.16147     -0.12913    -0.096951     0.038369    -0.051103   -0.0014256   -0.0023255       35.416            0            0
+53    -0.031395     -0.49901    -0.047054     -0.49778      0.06541       2.6593      0.20864       2.6511      0.78184    -0.061532     0.015558     0.040674        516.4            0            0
+181      0.40451      0.29389      0.41354      0.28104       0.0044      0.16392     -0.13411    -0.094253      0.03616    -0.051451   -0.0015385   -0.0022886       34.034            0            0
+54    -0.047054     -0.49778    -0.062667     -0.49606       0.0704       2.8806       0.3161       2.8632      0.85294    -0.094166     0.018363     0.043494       555.01            0            0
+182      0.41354      0.28104      0.42216      0.26791      0.00416      0.15702     -0.13124    -0.086206     0.025992    -0.039569   -0.0016531   -0.0019756       32.174            0            0
+55    -0.062667     -0.49606    -0.078217     -0.49384      0.07536       3.0781       0.4337       3.0473      0.82765     -0.11779     0.019812     0.046015       587.31            0            0
+183      0.42216      0.26791      0.43037      0.25452      0.00419       0.1544     -0.13164    -0.080671     0.024416    -0.039843   -0.0016843    -0.001893       30.317            0            0
+56    -0.078217     -0.49384    -0.093691     -0.49114      0.08288         3.38      0.58112       3.3297      0.87918     -0.15344     0.022937      0.04989       640.91            0            0
+184      0.43037      0.25452      0.43815      0.24088      0.00466      0.17775      -0.1544    -0.088066     0.019554    -0.034282    -0.002118   -0.0019218       34.025            0            0
+57    -0.093691     -0.49114     -0.10907     -0.48796      0.08758       3.5588      0.72167       3.4848      0.91566     -0.18962     0.025718     0.051759          675            0            0
+185      0.43815      0.24088       0.4455        0.227      0.00473      0.17597     -0.15552    -0.082344     0.013369     -0.02525   -0.0022328     -0.00169       32.207            0            0
+58     -0.10907     -0.48796     -0.12434     -0.48429      0.09374       3.8552      0.89997       3.7486      0.93947     -0.22555     0.028893     0.055338       721.87            0            0
+186       0.4455        0.227      0.45241      0.21289      0.00495      0.18511     -0.16624    -0.081439    0.0096721    -0.019743   -0.0024592   -0.0015893       30.858            0            0
+59     -0.12434     -0.48429      -0.1395     -0.48015      0.10056       4.1113       1.0849       3.9655       0.9636     -0.26361     0.032176     0.058147       768.09            0            0
+187      0.45241      0.21289      0.45888      0.19857      0.00549      0.21259     -0.19376    -0.087485    0.0089133    -0.019741   -0.0029034   -0.0016842        33.89            0            0
+60      -0.1395     -0.48015     -0.15451     -0.47553      0.10911       4.4545       1.3098       4.2576      0.99704     -0.30673     0.036234     0.062057       802.75            0            0
+188      0.45888      0.19857      0.46489      0.18406      0.00573      0.22456     -0.20747    -0.085936     0.004977    -0.012016   -0.0031806   -0.0015386       32.241            0            0
+61     -0.15451     -0.47553     -0.16937     -0.47044      0.11679       4.7848       1.5499       4.5268      0.99082     -0.33923     0.039908     0.065776        866.2            0            0
+189      0.46489      0.18406      0.47044      0.16937      0.00572      0.22548     -0.21092    -0.079702    0.0021488   -0.0056867   -0.0032793   -0.0013412       36.359            0            0
+62     -0.16937     -0.47044     -0.18406     -0.46489      0.12301       5.0514       1.7855       4.7253       1.0423     -0.39387     0.044418     0.068035       910.63            0            0
+190      0.47044      0.16937      0.47553      0.15451      0.00645      0.25138     -0.23783    -0.081427    0.0046965    -0.013717   -0.0036619   -0.0014945       38.825            0            0
+63     -0.18406     -0.46489     -0.19857     -0.45888      0.13401       5.5351       2.1182       5.1138       1.0476     -0.43395     0.049727     0.073508        981.3            0            0
+191      0.47553      0.15451      0.48015       0.1395      0.00647      0.25352     -0.24232    -0.074546    0.0036624    -0.011905   -0.0037486   -0.0013579       39.515            0            0
+64     -0.19857     -0.45888     -0.21289     -0.45241      0.14266       5.8513       2.4079       5.3329       1.1022     -0.49768     0.055135     0.075949         1043            0            0
+192      0.48015       0.1395      0.48429      0.12434      0.00734      0.29042     -0.28013    -0.076634    0.0024732   -0.0090406   -0.0043612   -0.0013457       47.551            0            0
+65     -0.21289     -0.45241       -0.227      -0.4455      0.15447        6.338       2.7884       5.6917        1.118     -0.54772     0.061359     0.080799       1119.7            0            0
+193      0.48429      0.12434      0.48796      0.10907      0.00699      0.28337     -0.27554     -0.06615   -0.0016592     0.006911    -0.004354  -0.00093049       45.652            0            0
+66       -0.227      -0.4455     -0.24088     -0.43815      0.16214       6.6817       3.1266       5.9051        1.065     -0.56387     0.065838     0.083896       1179.5            0            0
+194      0.48796      0.10907      0.49114     0.093691      0.00818      0.32288     -0.31617    -0.065476     -0.00101     0.004877   -0.0049821  -0.00095185        51.01            0            0
+67     -0.24088     -0.43815     -0.25452     -0.43037      0.17048       6.9874        3.462       6.0695       1.0959     -0.62507     0.071591     0.085517         1216            0            0
+195      0.49114     0.093691      0.49384     0.078217      0.00764      0.30575      -0.3012    -0.052568   9.1883e-05  -0.00052647   -0.0047296  -0.00083397       42.135            0            0
+68     -0.25452     -0.43037     -0.26791     -0.42216      0.18288       7.5407         3.94       6.4295       1.1228     -0.68807     0.079523     0.090183       1322.6            0            0
+196      0.49384     0.078217      0.49606     0.062667      0.00765      0.30918      -0.3061    -0.043564   -0.0018713     0.013148   -0.0048373  -0.00047774       50.242            0            0
+69     -0.26791     -0.42216     -0.28104     -0.41354      0.18948       7.7799       4.2713       6.5025       1.0783     -0.70834     0.084029     0.091011       1335.1            0            0
+197      0.49606     0.062667      0.49778     0.047054      0.00845       0.3403     -0.33825    -0.037343  -0.00098185    0.0088935   -0.0053284  -0.00044686        46.15            0            0
+70     -0.28104     -0.41354     -0.29389     -0.40451      0.20104       8.2239       4.7288       6.7284       1.0583     -0.74381       0.0909     0.094002       1396.1            0            0
+198      0.49778     0.047054      0.49901     0.031395      0.00888      0.34959     -0.34851    -0.027429  -0.00068362    0.0086863    -0.005485  -0.00029439       52.972            0            0
+71     -0.29389     -0.40451     -0.30645     -0.39508      0.21352       8.7619       5.2608       7.0068       1.0641     -0.79898     0.099349     0.097508         1527            0            0
+199      0.49901     0.031395      0.49975     0.015705      0.00864      0.35244     -0.35205    -0.016602  -0.00052287     0.011087   -0.0055379  -8.6623e-05       50.057            0            0
+72     -0.30645     -0.39508     -0.31871     -0.38526       0.2241       9.2587       5.7889       7.2258       1.0855     -0.86968      0.10798     0.099837       1610.7            0            0
+200      0.49975     0.015705          0.5            0      0.00817      0.33559     -0.33554   -0.0052712  -4.2075e-05    0.0026784   -0.0052712  -4.0726e-05       48.022            0            0
+73     -0.31871     -0.38526     -0.33066     -0.37506      0.23952       9.8017       6.3657       7.4533       1.0703     -0.91414       0.1168      0.10271       1627.5            0            0
+74     -0.33066     -0.37506     -0.34227     -0.36448      0.24811       10.168       6.8431       7.5205       0.9958     -0.90611      0.12313      0.10389       1689.1            0            0
+75     -0.34227     -0.36448     -0.35355     -0.35355      0.26127       10.716       7.4576       7.6956       1.0031     -0.97206      0.13289      0.10561       1794.7            0            0
+76     -0.35355     -0.35355     -0.36448     -0.34227      0.27235       11.146        8.004       7.7565      0.93412     -0.96393      0.14039      0.10669       1846.3            0            0
+77     -0.36448     -0.34227     -0.37506     -0.33066      0.28704        11.77       8.7053       7.9213         0.93      -1.0221      0.15135      0.10837       1941.5            0            0
+78     -0.37506     -0.33066     -0.38526     -0.31871      0.29829       12.193       9.2714       7.9185       0.9111      -1.0668      0.15994      0.10762       1990.5            0            0
+79     -0.38526     -0.31871     -0.39508     -0.30645      0.30923       12.676       9.8926       7.9255      0.77468     -0.96696      0.16755       0.1093       2124.6            0            0
+80     -0.39508     -0.30645     -0.40451     -0.29389       0.3185       13.155        10.52       7.8986      0.82289       -1.096      0.17817      0.10685       2183.5            0            0
+81     -0.40451     -0.29389     -0.41354     -0.28104      0.32974       13.531        11.07       7.7804      0.74997      -1.0671      0.18567      0.10545       2221.5            0            0
+82     -0.41354     -0.28104     -0.42216     -0.26791      0.34348       14.116       11.798       7.7498      0.67403      -1.0261       0.1959      0.10561       2329.3            0            0
+83     -0.42216     -0.26791     -0.43037     -0.25452      0.35287       14.506       12.369       7.5796       0.6483      -1.0579      0.20446      0.10244       2337.3            0            0
+84     -0.43037     -0.25452     -0.43815     -0.24088      0.36618       15.007       13.036       7.4356       0.5839      -1.0237      0.21393      0.10071       2401.1            0            0
+85     -0.43815     -0.24088      -0.4455       -0.227      0.37847        15.45       13.654       7.2294      0.53461      -1.0097      0.22287     0.097695       2483.1            0            0
+86      -0.4455       -0.227     -0.45241     -0.21289      0.38495       15.794       14.184       6.9486      0.51088      -1.0428      0.23082     0.092764       2561.9            0            0
+87     -0.45241     -0.21289     -0.45888     -0.19857      0.39586       16.202       14.767       6.6674       0.4276     -0.94703      0.23866     0.089852       2580.7            0            0
+88     -0.45888     -0.19857     -0.46489     -0.18406      0.40746       16.643       15.376        6.369      0.38733      -0.9351       0.2476     0.085351       2652.4            0            0
+89     -0.46489     -0.18406     -0.47044     -0.16937      0.41681       17.092       15.988       6.0415      0.32204     -0.85226      0.25619     0.081509       2769.1            0            0
+90     -0.47044     -0.16937     -0.47553     -0.15451      0.42497       17.445       16.505       5.6509      0.27075     -0.79079       0.2635     0.076339       2789.5            0            0
+91     -0.47553     -0.15451     -0.48015      -0.1395      0.43205       17.622       16.843       5.1816      0.21804     -0.70876      0.26799     0.070257       2801.6            0            0
+92     -0.48015      -0.1395     -0.48429     -0.12434      0.43566       17.921       17.286       4.7289      0.19778     -0.72297      0.27462     0.062922       2930.8            0            0
+93     -0.48429     -0.12434     -0.48796     -0.10907       0.4463       18.241       17.737       4.2583      0.14582     -0.60737      0.28089     0.057346         2906            0            0
+94     -0.48796     -0.10907     -0.49114    -0.093691      0.45083       18.401       18.019       3.7315      0.11529     -0.55673      0.28483     0.049867       2965.4            0            0
+95     -0.49114    -0.093691     -0.49384    -0.078217      0.45279       18.501       18.225       3.1808      0.08607     -0.49316      0.28762     0.042216         2888            0            0
+96     -0.49384    -0.078217     -0.49606    -0.062667      0.45836       18.755       18.567       2.6425     0.055919     -0.39291      0.29252     0.035336       3002.8            0            0
+97     -0.49606    -0.062667     -0.49778    -0.047054      0.46081       18.823        18.71       2.0656      0.02616     -0.23695      0.29429     0.028723       2997.3            0            0
+98     -0.49778    -0.047054     -0.49901    -0.031395      0.46782       19.101       19.043       1.4987     0.020218     -0.25689      0.29943     0.019505       2975.7            0            0
+99     -0.49901    -0.031395     -0.49975    -0.015705      0.46627       19.042        19.02      0.89698    0.0037392     -0.07929      0.29882     0.012844       2994.7            0            0
+100     -0.49975    -0.015705         -0.5            0      0.46695       19.139       19.137      0.30063    0.0012377    -0.078788      0.30061    0.0034845       3087.5            0            0
+101         -0.5            0     -0.49975     0.015705      0.46445       19.083       19.081     -0.29974   0.00077916     0.049599      0.29972   -0.0039291       3078.9            0            0
+102     -0.49975     0.015705     -0.49901     0.031395       0.4667       19.053       19.032     -0.89753    0.0062869      0.13331      0.29904    -0.012004       2990.7            0            0
+103     -0.49901     0.031395     -0.49778     0.047054      0.46769       18.989       18.931      -1.4899     0.019901      0.25286      0.29767    -0.019431       2962.4            0            0
+104     -0.49778     0.047054     -0.49606     0.062667      0.45968       18.865       18.751      -2.0701     0.032418      0.29364      0.29503    -0.027903       3035.5            0            0
+105     -0.49606     0.062667     -0.49384     0.078217      0.45677       18.808        18.62      -2.6501     0.053336      0.37476      0.29331    -0.035739       3060.7            0            0
+106     -0.49384     0.078217     -0.49114     0.093691      0.45882       18.728       18.449      -3.2198     0.075027      0.42988      0.29096    -0.043822       2923.8            0            0
+107     -0.49114     0.093691     -0.48796      0.10907      0.44741       18.422       18.039      -3.7357      0.10441      0.50415      0.28498    -0.050759       3017.8            0            0
+108     -0.48796      0.10907     -0.48429      0.12434      0.44625       18.259       17.755      -4.2626      0.14964      0.62331      0.28123    -0.057163       2876.6            0            0
+109     -0.48429      0.12434     -0.48015       0.1395      0.43895       17.929       17.294      -4.7311      0.20301      0.74206      0.27483    -0.062656       2858.4            0            0
+110     -0.48015       0.1395     -0.47553      0.15451       0.4298       17.553       16.777      -5.1612      0.23836      0.77479      0.26726    -0.068899       2778.7            0            0
+111     -0.47553      0.15451     -0.47044      0.16937      0.42119       17.259       16.328      -5.5904      0.24968      0.72926      0.26039    -0.076356       2724.1            0            0
+112     -0.47044      0.16937     -0.46489      0.18406      0.41474       16.896       15.805      -5.9723      0.30522      0.80773      0.25305    -0.081122       2674.5            0            0
+113     -0.46489      0.18406     -0.45888      0.19857      0.40927       16.676       15.406      -6.3816      0.39005      0.94167      0.24812    -0.085446       2648.2            0            0
+114     -0.45888      0.19857     -0.45241      0.21289      0.39844       16.252       14.812      -6.6878      0.41693      0.92339       0.2392    -0.090544       2618.1            0            0
+115     -0.45241      0.21289      -0.4455        0.227      0.38999       15.964       14.336      -7.0232      0.47798      0.97569      0.23269     -0.09499       2542.1            0            0
+116      -0.4455        0.227     -0.43815      0.24088       0.3771       15.466       13.668       -7.237      0.53988       1.0197      0.22317    -0.097658       2521.8            0            0
+117     -0.43815      0.24088     -0.43037      0.25452      0.36802       15.047        13.07      -7.4552      0.59252       1.0388      0.21461     -0.10078       2462.2            0            0
+118     -0.43037      0.25452     -0.42216      0.26791      0.35747       14.632       12.476      -7.6453       0.6686       1.0911      0.20647     -0.10295       2370.7            0            0
+119     -0.42216      0.26791     -0.41354      0.28104      0.34158       13.999       11.701      -7.6858       0.6736       1.0255      0.19436     -0.10462       2312.9            0            0
+120     -0.41354      0.28104     -0.40451      0.29389      0.33638        13.77       11.266      -7.9179      0.72247        1.028      0.18831     -0.10822       2284.1            0            0
+121     -0.40451      0.29389     -0.39508      0.30645      0.32224       13.204       10.559      -7.9281      0.84504       1.1255      0.17913     -0.10685       2159.9            0            0
+122     -0.39508      0.30645     -0.38526      0.31871      0.31138       12.733        9.937      -7.9611      0.84974       1.0606      0.16943     -0.10839       2044.7            0            0
+123     -0.38526      0.31871     -0.37506      0.33066      0.29881       12.249        9.314      -7.9549      0.86422       1.0119      0.15987     -0.10906       2017.7            0            0
+124     -0.37506      0.33066     -0.36448      0.34227      0.28852       11.808       8.7338      -7.9472      0.93621       1.0289      0.15189     -0.10867       1920.5            0            0
+125     -0.36448      0.34227     -0.35355      0.35355      0.27213       11.183       8.0306      -7.7822      0.96798      0.99888      0.14134     -0.10655       1869.6            0            0
+126     -0.35355      0.35355     -0.34227      0.36448      0.26314       10.747       7.4792      -7.7179      0.95327      0.92378      0.13245     -0.10672       1765.3            0            0
+127     -0.34227      0.36448     -0.33066      0.37506       0.2495       10.181       6.8521      -7.5304       1.0344      0.94119      0.12388      -0.1035       1684.4            0            0
+128     -0.33066      0.37506     -0.31871      0.38526      0.23782       9.7422        6.327       -7.408       1.0214      0.87235      0.11542     -0.10266       1645.3            0            0

CylinderKnMa/Kn0p20/simulation0382_Kn0p20Ma5p1/runmpirun128.sh ADDED Viewed

	@@ -0,0 +1,18 @@

+#!/bin/bash
+#SBATCH -J Cylinder——Kn
+#SBATCH -p wzhcnormal
+#SBATCH -N 2
+#SBATCH --ntasks-per-node=64
+module purge
+module load compiler/devtoolset/7.3.1
+module load mpi/hpcx/2.11.0/gcc-7.3.1
+export UCX_WARN_UNUSED_ENV_VARS=n
+/public/software/mpi/hpcx/v2.11.0/gcc-7.3.1/bin/mpirun -n 128 ../../../sep2024-sparta/src/spa_mpi <config.txt
+/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
+/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
+/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/Kn0p20/simulation0382_Kn0p20Ma5p1/runmpirun64.sh ADDED Viewed

	@@ -0,0 +1,18 @@

+#!/bin/bash
+#SBATCH -J Cylinder——Kn
+#SBATCH -p wzhcnormal
+#SBATCH -N 1
+#SBATCH --ntasks-per-node=64
+module purge
+module load compiler/devtoolset/7.3.1
+module load mpi/hpcx/2.11.0/gcc-7.3.1
+export UCX_WARN_UNUSED_ENV_VARS=n
+/public/software/mpi/hpcx/v2.11.0/gcc-7.3.1/bin/mpirun -n 64 ../../../sep2024-sparta/src/spa_mpi <config.txt
+/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
+/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
+/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/Kn0p20/simulation0382_Kn0p20Ma5p1/slurm-28428681.out ADDED Viewed

	@@ -0,0 +1,208 @@

+SPARTA (4 Sep 2024)
+Running on 128 MPI task(s)
+Running on 128 MPI task(s)
+Created orthogonal box = (-5 -5 -0.5) to (6 5 0.5)
+Created 191516 child grid cells
+  CPU time = 0.22592 secs
+  create/ghost percent = 0.660708 99.3393
+Balance grid migrated 191124 cells
+  CPU time = 0.158794 secs
+  reassign/sort/migrate/ghost percent = 34.4125 0.043377 8.30749 57.2366
+Reading surface file ...
+  200 lines
+  -0.5 0.5 xlo xhi
+  -0.5 0.5 ylo yhi
+  0 0 zlo zhi
+  0.0157073 min line length
+  644 0 = cells overlapping surfs, overlap cells with unmarked corner pts
+  171120 19752 644 = cells outside/inside/overlapping surfs
+  644 = surf cells with 1,2,etc splits
+  109.214731023046 109.214731023047 = cell-wise and global flow volume
+  CPU time = 0.176403 secs
+  read/check/sort/surf2grid/ghost/inout/particle percent = 13.6765 15.3977 1.48235 16.5047 52.9388 3.86934 0.0723685
+  surf2grid time = 0.0291147 secs
+  map/comm1/comm2/comm3/comm4/split percent = 18.9375 21.6009 7.49164 3.03792 9.25715 5.36427
+Balance grid migrated 2352 cells
+  CPU time = 0.100756 secs
+  reassign/sort/migrate/ghost percent = 2.86171 0.0433425 8.4032 88.6917
+Creating particles ...
+Created 1310576 particles
+  CPU time = 0.024249 secs
+Memory usage per proc in Mbytes:
+  particles (ave,min,max) = 2.16211 0 5.0625
+  grid      (ave,min,max) = 7.30725 1.51379 13.7013
+  surf      (ave,min,max) = 0.0205994 0.0205994 0.0205994
+  total     (ave,min,max) = 9.48996 4.15939 16.1594
+Step CPU Np Natt Ncoll Nscoll Npave Nscollave
+       0            0  1310576        0        0        0            0            0
+   10000    36.671581  1407590    35112    30308       37    1336834.5      27.3588
+   20000    95.923419  1452381    36799    32028       37    1388407.5     27.68805
+   30000    157.67013  1454273    37221    32416       25    1410516.2    27.835533
+   40000    219.90871  1456242    36939    32087       30    1421620.8     27.89925
+   50000    282.81688  1455828    36956    32100       24    1428609.3     27.93374
+   60000    344.40825  1456044    37435    32644       23    1433252.8    27.964567
+   70000    406.22246  1457056    37418    32631       29    1436621.7       27.983
+   80000    468.00191  1454577    36977    32185       30    1439013.6    28.006937
+   90000    529.96857  1456388    36954    32170       31    1440894.2    28.024367
+  100000    592.27632  1455888    37079    32290       23    1442367.2     28.03595
+  110000     654.1119  1455495    37180    32334       20    1443617.6    28.038491
+  120000    716.22201  1455482    37233    32484       24    1444626.3    28.044342
+  130000    777.70858  1455459    37014    32190       29    1445441.1    28.050508
+  140000    841.12163  1455812    37118    32338       46    1446214.3    28.051907
+  150000    903.23338  1454881    36984    32204       24    1446813.7     28.05596
+  160000    964.90993  1456932    37157    32387       24    1447373.9    28.064969
+  170000    1026.4612  1457706    37218    32411       20      1447939    28.065647
+  180000    1088.3624  1456929    37157    32378       21    1448418.1    28.064856
+  190000    1150.0057  1455125    37355    32566       30    1448802.3    28.071737
+  200000    1212.2265  1456933    37249    32356       31    1449183.6    28.075725
+Loop time of 1212.23 on 128 procs for 200000 steps with 1456933 particles
+MPI task timing breakdown:
+Section |  min time  |  avg time  |  max time  |%varavg| %total
+---------------------------------------------------------------
+Move    | 0.026185   | 38.957     | 264.96     | 830.2 |  3.21
+Coll    | 0.94562    | 53.203     | 619.65     |1276.3 |  4.39
+Sort    | 0.3271     | 15.518     | 155.85     | 709.8 |  1.28
+Comm    | 105.46     | 137.27     | 150.4      |  79.6 | 11.32
+Modify  | 0.022737   | 0.33448    | 5.8678     | 159.8 |  0.03
+Output  | 0.017423   | 0.07677    | 0.083099   |   3.7 |  0.01
+Other   |            | 966.9      |            |       | 79.76
+Particle moves    = 289836727045 (290B)
+Cells touched     = 302899072414 (303B)
+Particle comms    = 344566818 (345M)
+Boundary collides = 0 (0K)
+Boundary exits    = 33855042 (33.9M)
+SurfColl checks   = 282083184 (282M)
+SurfColl occurs   = 5615145 (5.62M)
+Surf reactions    = 0 (0K)
+Collide attempts  = 8765227257 (8.77B)
+Collide occurs    = 6724956841 (6.72B)
+Gas reactions     = 0 (0K)
+Particles stuck   = 0
+Axisymm bad moves = 0
+Particle-moves/CPUsec/proc: 1.86792e+06
+Particle-moves/step: 1.44918e+06
+Cell-touches/particle/step: 1.04507
+Particle comm iterations/step: 1
+Particle fraction communicated: 0.00118883
+Particle fraction colliding with boundary: 0
+Particle fraction exiting boundary: 0.000116807
+Surface-checks/particle/step: 0.000973249
+Surface-collisions/particle/step: 1.93735e-05
+Surface-reactions/particle/step: 0
+Collision-attempts/particle/step: 0.0302419
+Collisions/particle/step: 0.0232026
+Gas-reactions/particle/step: 0
+Particles: 11382.3 ave 80242 max 0 min
+Histogram: 85 15 4 12 2 6 0 0 2 2
+Cells:     1496.22 ave 1497 max 1496 min
+Histogram: 100 0 0 0 0 0 0 0 0 28
+GhostCell: 38710.9 ave 70939 max 2108 min
+Histogram: 20 10 12 10 17 3 6 4 16 30
+EmptyCell: 436.805 ave 731 max 67 min
+Histogram: 7 5 11 19 11 16 15 16 14 14
+Surfs:     200 ave 200 max 200 min
+Histogram: 128 0 0 0 0 0 0 0 0 0
+GhostSurf: 0 ave 0 max 0 min
+Histogram: 128 0 0 0 0 0 0 0 0 0
+Memory usage per proc in Mbytes:
+  particles (ave,min,max) = 2.32031 0 8.4375
+  grid      (ave,min,max) = 7.30725 1.51379 13.7013
+  surf      (ave,min,max) = 0.0205994 0.0205994 0.0205994
+  total     (ave,min,max) = 10.1507 4.66193 16.6619
+Step CPU Np Natt Ncoll Nscoll Npave Nscollave
+  200000            0  1456933    37249    32356        0            0            0
+  210000    101.54233  1453745    37172    32197       28    1455498.3      28.1623
+  220000    203.08881  1454662    37159    32275       20    1455057.1     28.19865
+  230000    305.19418  1456540    37255    32389       24    1455233.2    28.190167
+  240000    406.91148  1455608    37138    32337       31      1455445     28.15675
+  250000    510.29897  1455787    37413    32502       27      1455586     28.16454
+  260000    615.24385  1456652    37233    32340       35    1455719.7    28.161583
+  270000    716.95089  1455539    37145    32357       21    1455823.8      28.1579
+  280000    819.21183  1454651    37383    32579       30    1455768.2    28.159725
+  290000     921.1917  1455758    37220    32346       18    1455679.8      28.1459
+  300000    1022.7481  1455491    37073    32326       31    1455725.4     28.14724
+Loop time of 1022.75 on 128 procs for 100000 steps with 1455491 particles
+MPI task timing breakdown:
+Section |  min time  |  avg time  |  max time  |%varavg| %total
+---------------------------------------------------------------
+Move    | 0.015601   | 19.741     | 128.98     | 573.7 |  1.93
+Coll    | 0.47444    | 28.667     | 331.99     | 949.8 |  2.80
+Sort    | 0.21458    | 8.4475     | 83.174     | 501.9 |  0.83
+Comm    | 63.896     | 80.188     | 88.229     |  60.0 |  7.84
+Modify  | 6.7072     | 53.889     | 372.45     | 920.2 |  5.27
+Output  | 0.068681   | 0.070581   | 0.074348   |   0.5 |  0.01
+Other   |            | 831.7      |            |       | 81.32
+Particle moves    = 145572540657 (146B)
+Cells touched     = 152124184232 (152B)
+Particle comms    = 172740409 (173M)
+Boundary collides = 0 (0K)
+Boundary exits    = 16997726 (17M)
+SurfColl checks   = 141674710 (142M)
+SurfColl occurs   = 2814724 (2.81M)
+Surf reactions    = 0 (0K)
+Collide attempts  = 4441393579 (4.44B)
+Collide occurs    = 3406296950 (3.41B)
+Gas reactions     = 0 (0K)
+Particles stuck   = 0
+Axisymm bad moves = 0
+Particle-moves/CPUsec/proc: 1.11199e+06
+Particle-moves/step: 1.45573e+06
+Cell-touches/particle/step: 1.04501
+Particle comm iterations/step: 1
+Particle fraction communicated: 0.00118663
+Particle fraction colliding with boundary: 0
+Particle fraction exiting boundary: 0.000116765
+Surface-checks/particle/step: 0.000973224
+Surface-collisions/particle/step: 1.93355e-05
+Surface-reactions/particle/step: 0
+Collision-attempts/particle/step: 0.0305098
+Collisions/particle/step: 0.0233993
+Gas-reactions/particle/step: 0
+Particles: 11371 ave 79975 max 0 min
+Histogram: 85 15 4 12 2 6 0 0 2 2
+Cells:     1496.22 ave 1497 max 1496 min
+Histogram: 100 0 0 0 0 0 0 0 0 28
+GhostCell: 38710.9 ave 70939 max 2108 min
+Histogram: 20 10 12 10 17 3 6 4 16 30
+EmptyCell: 436.805 ave 731 max 67 min
+Histogram: 7 5 11 19 11 16 15 16 14 14
+Surfs:     200 ave 200 max 200 min
+Histogram: 128 0 0 0 0 0 0 0 0 0
+GhostSurf: 0 ave 0 max 0 min
+Histogram: 128 0 0 0 0 0 0 0 0 0
+Writing grid file ...
+  grid cells = 191516
+  CPU time = 0.0270752 secs
+Writing surface file ...
+  surf elements = 200
+  CPU time = 0.00329879 secs
+Processing  6  grid chunk(s).
+Completed grid chunk number:  2
+Completed grid chunk number:  5
+Completed grid chunk number:  4
+Completed grid chunk number:  3
+Completed grid chunk number:  0
+Completed grid chunk number:  1
+Done in 0:00:13 (wall clock time)
+Processing  6  grid chunk(s).
+Completed grid chunk number:  5
+Completed grid chunk number:  2
+Completed grid chunk number:  1
+Completed grid chunk number:  0
+Completed grid chunk number:  4
+Completed grid chunk number:  3
+Done in 0:00:12 (wall clock time)
+Processing SPARTA surface information.
+Processing dump result file:  ['./output/surf.300000.dat']

CylinderKnMa/Kn0p20/simulation0382_Kn0p20Ma5p1/surf/Surf_300000.vtu ADDED Viewed

	@@ -0,0 +1,38 @@

+<?xml version="1.0"?>
+<VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
+  <UnstructuredGrid>
+    <Piece NumberOfPoints="400"                  NumberOfCells="200"                 >
+      <PointData>
+      </PointData>
+      <CellData>
+        <DataArray type="Float64" Name="id" format="appended" RangeMin="1"                    RangeMax="200"                  offset="0"                   />
+        <DataArray type="Float64" Name="v1x" format="appended" RangeMin="-0.5"                 RangeMax="0.5"                  offset="432"                 />
+        <DataArray type="Float64" Name="v1y" format="appended" RangeMin="-0.5"                 RangeMax="0.5"                  offset="1468"                />
+        <DataArray type="Float64" Name="v2x" format="appended" RangeMin="-0.5"                 RangeMax="0.5"                  offset="2476"                />
+        <DataArray type="Float64" Name="v2y" format="appended" RangeMin="-0.5"                 RangeMax="0.5"                  offset="3508"                />
+        <DataArray type="Float64" Name="f_2[1]" format="appended" RangeMin="0.00416"              RangeMax="0.46782"              offset="4512"                />
+        <DataArray type="Float64" Name="f_2[2]" format="appended" RangeMin="0.15165"              RangeMax="19.139"               offset="6492"                />
+        <DataArray type="Float64" Name="f_2[3]" format="appended" RangeMin="-0.35829"             RangeMax="19.137"               offset="8408"                />
+        <DataArray type="Float64" Name="f_2[4]" format="appended" RangeMin="-7.9611"              RangeMax="7.9255"               offset="10428"               />
+        <DataArray type="Float64" Name="f_2[5]" format="appended" RangeMin="-0.0037413"           RangeMax="1.1244"               offset="12472"               />
+        <DataArray type="Float64" Name="f_2[6]" format="appended" RangeMin="-1.096"               RangeMax="1.1255"               offset="14544"               />
+        <DataArray type="Float64" Name="f_2[7]" format="appended" RangeMin="-0.0056287"           RangeMax="0.30061"              offset="16648"               />
+        <DataArray type="Float64" Name="f_2[8]" format="appended" RangeMin="-0.10906"             RangeMax="0.1093"               offset="18772"               />
+        <DataArray type="Float64" Name="f_2[9]" format="appended" RangeMin="29.35"                RangeMax="3087.5"               offset="20900"               />
+        <DataArray type="Float64" Name="f_2[10]" format="appended" RangeMin="0"                    RangeMax="0"                    offset="22220"               />
+        <DataArray type="Float64" Name="f_2[11]" format="appended" RangeMin="0"                    RangeMax="0"                    offset="22272"               />
+      </CellData>
+      <Points>
+        <DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="0.49999998503"        RangeMax="0.50000001255"        offset="22324"               />
+      </Points>
+      <Cells>
+        <DataArray type="Int64" Name="connectivity" format="appended" RangeMin=""                     RangeMax=""                     offset="23652"               />
+        <DataArray type="Int64" Name="offsets" format="appended" RangeMin=""                     RangeMax=""                     offset="24556"               />
+        <DataArray type="UInt8" Name="types" format="appended" RangeMin=""                     RangeMax=""                     offset="25048"               />
+      </Cells>
+    </Piece>
+  </UnstructuredGrid>
+  <AppendedData encoding="base64">
+   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AQAAAACAAABABgAA6QUAAA==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AQAAAACAAABABgAA/wUAAA==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AQAAAACAAABABgAAFgYAAA==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AQAAAACAAABABgAAJgYAAA==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AQAAAACAAABABgAAKAYAAA==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+  </AppendedData>
+</VTKFile>

CylinderKnMa/Kn0p20/simulation0382_Kn0p20Ma5p1/surf/geom.surf ADDED Viewed

	@@ -0,0 +1,610 @@

+# Surface element file written by SPARTA
+400 points
+200 lines
+Points
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AQAAAACAAABsYwAAohEAAA==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AgAAAACAAAAAegAAiRMAAKISAAA=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AQAAAACAAADQBwAAFwAAAA==eJzj5BwFo2AUjIJRMApGwVAHAOOGRlE=
+  </AppendedData>
+</VTKFile>

CylinderKnMa/Kn0p20/simulation0383_Kn0p20Ma5p2/Lambda/Lambda_300000.pvtu ADDED Viewed

	@@ -0,0 +1,23 @@

+<?xml version="1.0"?>
+<VTKFile type="PUnstructuredGrid" version="0.1"
+               byte_order="LittleEndian"
+               compressor="vtkZLibDataCompressor">
+<PUnstructuredGrid GhostLevel="0">
+<PCellData>
+<PDataArray type="Float64" Name="id"/>
+<PDataArray type="Float64" Name="xc"/>
+<PDataArray type="Float64" Name="yc"/>
+<PDataArray type="Float64" Name="c_6[1]"/>
+<PDataArray type="Float64" Name="c_6[2]"/>
+</PCellData>
+<PPoints>
+<PDataArray type="Float32" Name="Points" NumberOfComponents="3"/>
+</PPoints>
+<Piece Source="Lambda_0_300000.vtu"/>
+<Piece Source="Lambda_1_300000.vtu"/>
+<Piece Source="Lambda_2_300000.vtu"/>
+<Piece Source="Lambda_3_300000.vtu"/>
+<Piece Source="Lambda_4_300000.vtu"/>
+<Piece Source="Lambda_5_300000.vtu"/>
+</PUnstructuredGrid>
+</VTKFile>

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CylinderKnMa/Kn0p20/simulation0383_Kn0p20Ma5p2/Lambda/Lambda_4_300000.vtu ADDED Viewed

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CylinderKnMa/Kn0p20/simulation0383_Kn0p20Ma5p2/Lambda/Lambda_5_300000.vtu ADDED Viewed

	@@ -0,0 +1,27 @@

+<?xml version="1.0"?>
+<VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
+  <UnstructuredGrid>
+    <Piece NumberOfPoints="2121"                 NumberOfCells="2000"                >
+      <PointData>
+      </PointData>
+      <CellData>
+        <DataArray type="Float64" Name="id" format="appended" RangeMin="22201"                RangeMax="44000"                offset="0"                   />
+        <DataArray type="Float64" Name="xc" format="appended" RangeMin="5.025"                RangeMax="5.975"                offset="3352"                />
+        <DataArray type="Float64" Name="yc" format="appended" RangeMin="0.025"                RangeMax="4.975"                offset="3584"                />
+        <DataArray type="Float64" Name="c_6[1]" format="appended" RangeMin="0.0053518"            RangeMax="0.025479"             offset="4128"                />
+        <DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.10704"              RangeMax="0.50958"              offset="22808"               />
+      </CellData>
+      <Points>
+        <DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="5"                    RangeMax="7.8102496759"         offset="37388"               />
+      </Points>
+      <Cells>
+        <DataArray type="Int64" Name="connectivity" format="appended" RangeMin=""                     RangeMax=""                     offset="43424"               />
+        <DataArray type="Int64" Name="offsets" format="appended" RangeMin=""                     RangeMax=""                     offset="56480"               />
+        <DataArray type="UInt8" Name="types" format="appended" RangeMin=""                     RangeMax=""                     offset="60068"               />
+      </Cells>
+    </Piece>
+  </UnstructuredGrid>
+  <AppendedData encoding="base64">
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AQAAAACAAABsYwAAmxEAAA==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AgAAAACAAAAAegAAiRMAAKISAAA=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AQAAAACAAADQBwAAFwAAAA==eJzj5BwFo2AUjIJRMApGwVAHAOOGRlE=
+  </AppendedData>
+</VTKFile>

CylinderKnMa/Kn0p20/simulation0383_Kn0p20Ma5p2/Surf.pvd ADDED Viewed

	@@ -0,0 +1,9 @@

+<?xml version="1.0"?>
+<VTKFile type="Collection" version="0.1"
+               byte_order="LittleEndian"
+               compressor="vtkZLibDataCompressor">
+   <Collection>
+    <DataSet timestep="300000" group="" part="0"
+             file="Surf/Surf_300000.vtu"/>
+   </Collection>
+</VTKFile>

CylinderKnMa/Kn0p20/simulation0383_Kn0p20Ma5p2/config.txt ADDED Viewed

	@@ -0,0 +1,78 @@

+variable    BZ equal 1.380649E-23
+variable    PI equal 3.1415926536
+variable    molecular_mass equal 6.63E-26
+variable    molecular_diameter equal 4.17E-10
+variable    gamma equal 1.666666667
+variable    R equal ${BZ}/${molecular_mass}
+variable    L equal 1.0
+variable    xmin equal -5.0
+variable    xmax equal  6.0
+variable    ymin equal -5.0
+variable    ymax equal  5.0
+variable    Kn equal 0.2
+variable   Ma equal 5.2
+variable    To equal 273.0
+variable    Tb equal 273.0
+variable    theta equal 0.0
+variable    mfp equal ${Kn}*${L}
+variable    cpmfp equal 4
+variable    nden equal 1.0/sqrt(2.0)/${PI}/${molecular_diameter}/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
+variable    sos equal sqrt(${gamma}*${R}*${To})
+variable    vo equal ${Ma}*${sos}
+variable    vx equal ${vo}*cos(${theta}*2*PI/360)
+variable    vy equal ${vo}*sin(${theta}*2*PI/360)
+variable    ppc equal 30
+variable    xncells equal (${xmax}-${xmin})/${mfp}*${cpmfp}
+variable    yncells equal (${ymax}-${ymin})/${mfp}*${cpmfp}
+variable    Fnum equal ${nden}*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
+variable    tstep equal (-${xmin}+${xmax})/${vx}/${xncells}/10/4
+variable    nave equal 10000
+variable    noutput equal 300000
+clear
+shell    mkdir output
+shell    mkdir grid
+shell    mkdir surf
+seed    7
+dimension    2
+global    nrho ${nden}
+global    fnum ${Fnum}
+timestep    ${tstep}
+global    gridcut 1.0 particle/reorder 100 comm/sort yes
+region    1  cylinder z 0.0 0.0 3.50 -0.5 0.5
+region    2  cylinder z 0.0 0.0 2.00 -0.5 0.5
+region    3  cylinder z 0.0 0.0 0.80 -0.5 0.5
+boundary    o o p
+create_box    ${xmin} ${xmax} ${ymin} ${ymax} -0.5 0.5
+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
+balance_grid  rcb cell
+species   gas.species Ar
+mixture   air Ar frac 1.0
+mixture   air Ar vstream ${vx} ${vy} 0.0 temp ${To}
+collide   vss air gas.vhs
+collide_modify    vremax 100 yes remain no nearcp yes 10
+read_surf       cylinder.surf
+surf_collide    1 diffuse 273.0 1.0
+surf_modify     all collide 1
+fix    in emit/face air xlo ylo yhi
+balance_grid  rcb cell
+create_particles air n 0
+stats    10000
+stats_style step cpu np nattempt ncoll nscoll npave nscollave
+run    200000
+compute      1 grid all air n nrho massrho u v w
+compute      2 grid all air trot
+compute      3 tvib/grid all air
+compute      4 thermal/grid all air press temp
+fix          1 ave/grid all 1 ${nave} ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
+dump         1 grid all ${noutput} output/grid.*.dat id xc yc f_1[*]
+dump_modify  1 format float %12.5g
+compute      5 surf all air n press px py shx shy fx fy etot erot evib
+fix          2 ave/surf all 1 ${nave} ${nave} c_5[*] ave running
+dump         2 surf all ${noutput} output/surf.*.dat id v1x v1y v2x v2y f_2[*]
+dump_modify  2 format float %12.5g
+compute      6  lambda/grid f_1[2] f_1[8] Ar kx
+dump         3 grid all ${noutput} output/lambdakn.*.dat id xc yc c_6[*]
+dump_modify  3 format float %12.5g
+run    100000
+write_grid    grid/final-grid.dat
+write_surf    surf/geom.surf

CylinderKnMa/Kn0p20/simulation0383_Kn0p20Ma5p2/cylinder.surf ADDED Viewed

	@@ -0,0 +1,410 @@

+ surf file from Pointwise
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+         200 lines
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+         196         196         197
+         197         197         198
+         198         198         199
+         199         199         200
+         200         200           1

CylinderKnMa/Kn0p20/simulation0383_Kn0p20Ma5p2/gas.species ADDED Viewed

	@@ -0,0 +1,14 @@

+# Species data
+# species name
+# molecular weight (atomic mass units, e.g. 16 for oxygen)
+# molecular mass (kg)
+# rotational degrees of freedom (integer, unitless)
+# inverse rotational relaxtion number (unitless)
+# vibrational degrees of freedom (integer, unitless)
+# inverse vibrational relaxation number (unitless)
+# vibrational temperature (K)
+# species weight (unitless)
+# multiple of electon charge (1 for a proton)
+Ar    39.95    6.63E-26    0    0.0    0    0.0    0.0    1.0    0.0

CylinderKnMa/Kn0p20/simulation0383_Kn0p20Ma5p2/gas.vhs ADDED Viewed

	@@ -0,0 +1,9 @@

+# VHS collision model parameters for each species
+# species name
+# diameter (m)
+# omega (unitless)
+# tref (referenced temperature)
+# alpha (unitless)
+Ar    4.17e-10    0.81    273    1.0

CylinderKnMa/Kn0p20/simulation0383_Kn0p20Ma5p2/grid/Grid_0_300000.vtu ADDED Viewed

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CylinderKnMa/Kn0p20/simulation0383_Kn0p20Ma5p2/grid/Grid_1_300000.vtu ADDED Viewed

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CylinderKnMa/Kn0p20/simulation0383_Kn0p20Ma5p2/grid/Grid_2_300000.vtu ADDED Viewed

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CylinderKnMa/Kn0p20/simulation0383_Kn0p20Ma5p2/grid/Grid_300000.pvtu ADDED Viewed

	@@ -0,0 +1,31 @@

+<?xml version="1.0"?>
+<VTKFile type="PUnstructuredGrid" version="0.1"
+               byte_order="LittleEndian"
+               compressor="vtkZLibDataCompressor">
+<PUnstructuredGrid GhostLevel="0">
+<PCellData>
+<PDataArray type="Float64" Name="id"/>
+<PDataArray type="Float64" Name="xc"/>
+<PDataArray type="Float64" Name="yc"/>
+<PDataArray type="Float64" Name="f_1[1]"/>
+<PDataArray type="Float64" Name="f_1[2]"/>
+<PDataArray type="Float64" Name="f_1[3]"/>
+<PDataArray type="Float64" Name="f_1[4]"/>
+<PDataArray type="Float64" Name="f_1[5]"/>
+<PDataArray type="Float64" Name="f_1[6]"/>
+<PDataArray type="Float64" Name="f_1[7]"/>
+<PDataArray type="Float64" Name="f_1[8]"/>
+<PDataArray type="Float64" Name="f_1[9]"/>
+<PDataArray type="Float64" Name="f_1[10]"/>
+</PCellData>
+<PPoints>
+<PDataArray type="Float32" Name="Points" NumberOfComponents="3"/>
+</PPoints>
+<Piece Source="Grid_0_300000.vtu"/>
+<Piece Source="Grid_1_300000.vtu"/>
+<Piece Source="Grid_2_300000.vtu"/>
+<Piece Source="Grid_3_300000.vtu"/>
+<Piece Source="Grid_4_300000.vtu"/>
+<Piece Source="Grid_5_300000.vtu"/>
+</PUnstructuredGrid>
+</VTKFile>

CylinderKnMa/Kn0p20/simulation0383_Kn0p20Ma5p2/grid/Grid_3_300000.vtu ADDED Viewed

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CylinderKnMa/Kn0p20/simulation0383_Kn0p20Ma5p2/grid/Grid_4_300000.vtu ADDED Viewed

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CylinderKnMa/Kn0p20/simulation0383_Kn0p20Ma5p2/grid/Grid_5_300000.vtu ADDED Viewed

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CylinderKnMa/Kn0p20/simulation0383_Kn0p20Ma5p2/grid/final-grid.dat ADDED Viewed

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CylinderKnMa/Kn0p20/simulation0383_Kn0p20Ma5p2/log.sparta ADDED Viewed

	@@ -0,0 +1,318 @@

+SPARTA (4 Sep 2024)
+Running on 128 MPI task(s)
+variable    BZ equal 1.380649E-23
+variable    PI equal 3.1415926536
+variable    molecular_mass equal 6.63E-26
+variable    molecular_diameter equal 4.17E-10
+variable    gamma equal 1.666666667
+variable    R equal ${BZ}/${molecular_mass}
+variable    R equal 1.380649e-23/${molecular_mass}
+variable    R equal 1.380649e-23/6.63e-26
+variable    L equal 1.0
+variable    xmin equal -5.0
+variable    xmax equal  6.0
+variable    ymin equal -5.0
+variable    ymax equal  5.0
+variable    Kn equal 0.2
+variable   Ma equal 5.2
+variable    To equal 273.0
+variable    Tb equal 273.0
+variable    theta equal 0.0
+variable    mfp equal ${Kn}*${L}
+variable    mfp equal 0.2*${L}
+variable    mfp equal 0.2*1
+variable    cpmfp equal 4
+variable    nden equal 1.0/sqrt(2.0)/${PI}/${molecular_diameter}/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
+variable    nden equal 1.0/sqrt(2.0)/3.1415926536/${molecular_diameter}/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
+variable    nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
+variable    nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(${mfp}/${cpmfp}*${Kn})
+variable    nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.2/${cpmfp}*${Kn})
+variable    nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.2/4*${Kn})
+variable    nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.2/4*0.2)
+variable    sos equal sqrt(${gamma}*${R}*${To})
+variable    sos equal sqrt(1.666666667*${R}*${To})
+variable    sos equal sqrt(1.666666667*208.242684766214*${To})
+variable    sos equal sqrt(1.666666667*208.242684766214*273)
+variable    vo equal ${Ma}*${sos}
+variable    vo equal 5.2*${sos}
+variable    vo equal 5.2*307.815564238681
+variable    vx equal ${vo}*cos(${theta}*2*PI/360)
+variable    vx equal 1600.64093404114*cos(${theta}*2*PI/360)
+variable    vx equal 1600.64093404114*cos(0*2*PI/360)
+variable    vy equal ${vo}*sin(${theta}*2*PI/360)
+variable    vy equal 1600.64093404114*sin(${theta}*2*PI/360)
+variable    vy equal 1600.64093404114*sin(0*2*PI/360)
+variable    ppc equal 30
+variable    xncells equal (${xmax}-${xmin})/${mfp}*${cpmfp}
+variable    xncells equal (6-${xmin})/${mfp}*${cpmfp}
+variable    xncells equal (6--5)/${mfp}*${cpmfp}
+variable    xncells equal (6--5)/0.2*${cpmfp}
+variable    xncells equal (6--5)/0.2*4
+variable    yncells equal (${ymax}-${ymin})/${mfp}*${cpmfp}
+variable    yncells equal (5-${ymin})/${mfp}*${cpmfp}
+variable    yncells equal (5--5)/${mfp}*${cpmfp}
+variable    yncells equal (5--5)/0.2*${cpmfp}
+variable    yncells equal (5--5)/0.2*4
+variable    Fnum equal ${nden}*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
+variable    Fnum equal 1.29438365301166e+20*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
+variable    Fnum equal 1.29438365301166e+20*(6-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
+variable    Fnum equal 1.29438365301166e+20*(6--5)*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
+variable    Fnum equal 1.29438365301166e+20*(6--5)*(5-${ymin})/${ppc}/${xncells}/${yncells}
+variable    Fnum equal 1.29438365301166e+20*(6--5)*(5--5)/${ppc}/${xncells}/${yncells}
+variable    Fnum equal 1.29438365301166e+20*(6--5)*(5--5)/30/${xncells}/${yncells}
+variable    Fnum equal 1.29438365301166e+20*(6--5)*(5--5)/30/220/${yncells}
+variable    Fnum equal 1.29438365301166e+20*(6--5)*(5--5)/30/220/200
+variable    tstep equal (-${xmin}+${xmax})/${vx}/${xncells}/10/4
+variable    tstep equal (--5+${xmax})/${vx}/${xncells}/10/4
+variable    tstep equal (--5+6)/${vx}/${xncells}/10/4
+variable    tstep equal (--5+6)/1600.64093404114/${xncells}/10/4
+variable    tstep equal (--5+6)/1600.64093404114/220/10/4
+variable    nave equal 10000
+variable    noutput equal 300000
+clear
+Running on 128 MPI task(s)
+shell    mkdir output
+shell    mkdir grid
+shell    mkdir surf
+seed    7
+dimension    2
+global    nrho ${nden}
+global    nrho 1.29438365301166e+20
+global    fnum ${Fnum}
+global    fnum 1.07865304417638e+16
+timestep    ${tstep}
+timestep    7.80937169240151e-07
+global    gridcut 1.0 particle/reorder 100 comm/sort yes
+region    1  cylinder z 0.0 0.0 3.50 -0.5 0.5
+region    2  cylinder z 0.0 0.0 2.00 -0.5 0.5
+region    3  cylinder z 0.0 0.0 0.80 -0.5 0.5
+boundary    o o p
+create_box    ${xmin} ${xmax} ${ymin} ${ymax} -0.5 0.5
+create_box    -5 ${xmax} ${ymin} ${ymax} -0.5 0.5
+create_box    -5 6 ${ymin} ${ymax} -0.5 0.5
+create_box    -5 6 -5 ${ymax} -0.5 0.5
+create_box    -5 6 -5 5 -0.5 0.5
+Created orthogonal box = (-5 -5 -0.5) to (6 5 0.5)
+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
+create_grid    220 ${yncells} 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
+create_grid    220 200 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
+Created 191516 child grid cells
+  CPU time = 0.199176 secs
+  create/ghost percent = 0.770084 99.2299
+balance_grid  rcb cell
+Balance grid migrated 191124 cells
+  CPU time = 0.158062 secs
+  reassign/sort/migrate/ghost percent = 35.0354 0.0314491 6.94735 57.9858
+species   gas.species Ar
+mixture   air Ar frac 1.0
+mixture   air Ar vstream ${vx} ${vy} 0.0 temp ${To}
+mixture   air Ar vstream 1600.64093404114 ${vy} 0.0 temp ${To}
+mixture   air Ar vstream 1600.64093404114 0 0.0 temp ${To}
+mixture   air Ar vstream 1600.64093404114 0 0.0 temp 273
+collide   vss air gas.vhs
+collide_modify    vremax 100 yes remain no nearcp yes 10
+read_surf       cylinder.surf
+  200 lines
+  -0.5 0.5 xlo xhi
+  -0.5 0.5 ylo yhi
+  0 0 zlo zhi
+  0.0157073 min line length
+  644 0 = cells overlapping surfs, overlap cells with unmarked corner pts
+  171120 19752 644 = cells outside/inside/overlapping surfs
+  644 = surf cells with 1,2,etc splits
+  109.215 109.215 = cell-wise and global flow volume
+  CPU time = 0.1707 secs
+  read/check/sort/surf2grid/ghost/inout/particle percent = 15.5146 13.2262 1.59665 16.2969 53.3656 3.93962 0.083942
+  surf2grid time = 0.0278188 secs
+  map/comm1/comm2/comm3/comm4/split percent = 19.3663 22.7871 8.15062 1.44312 9.84598 5.69658
+surf_collide    1 diffuse 273.0 1.0
+surf_modify     all collide 1
+fix    in emit/face air xlo ylo yhi
+balance_grid  rcb cell
+Balance grid migrated 2352 cells
+  CPU time = 0.102711 secs
+  reassign/sort/migrate/ghost percent = 3.15393 0.0482217 8.65153 88.1463
+create_particles air n 0
+Created 1310576 particles
+  CPU time = 0.0243526 secs
+stats    10000
+stats_style step cpu np nattempt ncoll nscoll npave nscollave
+run    200000
+Memory usage per proc in Mbytes:
+  particles (ave,min,max) = 2.16211 0 5.0625
+  grid      (ave,min,max) = 7.30725 1.51379 13.7013
+  surf      (ave,min,max) = 0.0205994 0.0205994 0.0205994
+  total     (ave,min,max) = 9.48996 4.15939 16.1594
+Step CPU Np Natt Ncoll Nscoll Npave Nscollave
+       0            0  1310576        0        0        0            0            0
+   10000    35.595346  1407213    34325    29700       23    1336724.2      27.5584
+   20000    94.924068  1452288    36547    31802       33    1388264.3      28.0037
+   30000    157.17117  1455582    36722    32151       27    1410555.7      28.2011
+   40000    219.62751  1455778    36382    31645       33    1421774.9     28.26445
+   50000    282.05093  1456924    36599    31829       26    1428809.4     28.28532
+   60000    343.88253  1456129    36621    31871       34    1433501.1    28.342083
+   70000    406.20299  1456091    36515    31933       24    1436821.2    28.363143
+   80000    468.50349  1455179    36457    31723       30    1439133.9    28.374588
+   90000    530.94402  1457022    36500    31759       20      1441018    28.392056
+  100000    593.24556  1456894    36715    31959       24    1442546.3     28.39631
+  110000    655.57576  1456165    36465    31805       38    1443786.2    28.395355
+  120000    718.63419  1455699    36651    31905       25    1444761.2    28.408783
+  130000    780.80975  1455749    36455    31818       39    1445572.1    28.413477
+  140000     843.2507  1455710    36640    31937       26    1446357.5    28.425443
+  150000    905.70341  1456119    36594    31935       27    1446991.6      28.4314
+  160000    967.86833  1456798    36579    31835       22    1447559.7    28.444906
+  170000    1029.9743  1458122    36529    31736       23    1448146.4    28.453129
+  180000    1092.1639  1456672    36426    31767       31    1448641.6    28.454589
+  190000    1154.5915  1455516    36427    31781       36    1449024.8    28.464337
+  200000    1216.8811  1457389    36624    31790       29    1449407.7    28.466025
+Loop time of 1216.88 on 128 procs for 200000 steps with 1457389 particles
+MPI task timing breakdown:
+Section |  min time  |  avg time  |  max time  |%varavg| %total
+---------------------------------------------------------------
+Move    | 0.023998   | 38.949     | 262.87     | 828.4 |  3.20
+Coll    | 0.9326     | 53.523     | 627.42     |1293.8 |  4.40
+Sort    | 0.32856    | 15.741     | 158.37     | 713.5 |  1.29
+Comm    | 106.82     | 137.5      | 151.27     |  80.4 | 11.30
+Modify  | 0.021257   | 0.30095    | 5.0691     | 140.2 |  0.02
+Output  | 0.0050139  | 0.065547   | 0.07162    |   4.0 |  0.01
+Other   |            | 970.8      |            |       | 79.78
+Particle moves    = 289881540337 (290B)
+Cells touched     = 302926425616 (303B)
+Particle comms    = 344210680 (344M)
+Boundary collides = 0 (0K)
+Boundary exits    = 33775071 (33.8M)
+SurfColl checks   = 288400007 (288M)
+SurfColl occurs   = 5693205 (5.69M)
+Surf reactions    = 0 (0K)
+Collide attempts  = 8638983889 (8.64B)
+Collide occurs    = 6629973956 (6.63B)
+Reactions         = 0 (0K)
+Particles stuck   = 0
+Axisymm bad moves = 0
+Particle-moves/CPUsec/proc: 1.86106e+06
+Particle-moves/step: 1.44941e+06
+Cell-touches/particle/step: 1.045
+Particle comm iterations/step: 1
+Particle fraction communicated: 0.00118742
+Particle fraction colliding with boundary: 0
+Particle fraction exiting boundary: 0.000116513
+Surface-checks/particle/step: 0.000994889
+Surface-collisions/particle/step: 1.96398e-05
+Surf-reactions/particle/step: 0
+Collision-attempts/particle/step: 0.0298018
+Collisions/particle/step: 0.0228713
+Reactions/particle/step: 0
+Particles: 11385.9 ave 80739 max 0 min
+Histogram: 85 15 4 12 2 6 0 0 2 2
+Cells:      1496.22 ave 1497 max 1496 min
+Histogram: 100 0 0 0 0 0 0 0 0 28
+GhostCell: 38710.9 ave 70939 max 2108 min
+Histogram: 20 10 12 10 17 3 6 4 16 30
+EmptyCell: 436.805 ave 731 max 67 min
+Histogram: 7 5 11 19 11 16 15 16 14 14
+Surfs:    200 ave 200 max 200 min
+Histogram: 128 0 0 0 0 0 0 0 0 0
+GhostSurf: 0 ave 0 max 0 min
+Histogram: 128 0 0 0 0 0 0 0 0 0
+compute      1 grid all air n nrho massrho u v w
+compute      2 grid all air trot
+compute      3 tvib/grid all air
+compute      4 thermal/grid all air press temp
+fix          1 ave/grid all 1 ${nave} ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
+fix          1 ave/grid all 1 10000 ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
+fix          1 ave/grid all 1 10000 10000 c_1[*] c_4[*] c_2[*] c_3[*] ave running
+dump         1 grid all ${noutput} output/grid.*.dat id xc yc f_1[*]
+dump         1 grid all 300000 output/grid.*.dat id xc yc f_1[*]
+dump_modify  1 format float %12.5g
+compute      5 surf all air n press px py shx shy fx fy etot erot evib
+fix          2 ave/surf all 1 ${nave} ${nave} c_5[*] ave running
+fix          2 ave/surf all 1 10000 ${nave} c_5[*] ave running
+fix          2 ave/surf all 1 10000 10000 c_5[*] ave running
+dump         2 surf all ${noutput} output/surf.*.dat id v1x v1y v2x v2y f_2[*]
+dump         2 surf all 300000 output/surf.*.dat id v1x v1y v2x v2y f_2[*]
+dump_modify  2 format float %12.5g
+compute      6  lambda/grid f_1[2] f_1[8] Ar kx
+dump         3 grid all ${noutput} output/lambdakn.*.dat id xc yc c_6[*]
+dump         3 grid all 300000 output/lambdakn.*.dat id xc yc c_6[*]
+dump_modify  3 format float %12.5g
+run    100000
+Memory usage per proc in Mbytes:
+  particles (ave,min,max) = 2.32031 0 8.4375
+  grid      (ave,min,max) = 7.30725 1.51379 13.7013
+  surf      (ave,min,max) = 0.0205994 0.0205994 0.0205994
+  total     (ave,min,max) = 10.1507 4.66193 16.6619
+Step CPU Np Natt Ncoll Nscoll Npave Nscollave
+  200000            0  1457389    36624    31790        0            0            0
+  210000    100.73764  1454325    36417    31772       21    1455758.3      28.5768
+  220000    201.06131  1454341    36542    31832       32    1455386.3     28.54965
+  230000    302.14752  1456384    36755    32023       22    1455298.9    28.554033
+  240000      402.785  1455435    36552    31803       21    1455462.3     28.52455
+  250000    503.90052  1456332    36599    31875       36    1455591.2     28.51302
+  260000    604.84956  1456305    36509    31846       31    1455698.5    28.507183
+  270000     705.5407  1455396    36418    31672       46    1455812.4      28.5091
+  280000    806.38512  1455464    36313    31498       27    1455721.2    28.502212
+  290000    906.68237  1455601    36324    31594       30    1455625.2    28.501711
+  300000     1007.513  1456085    36501    31862       22    1455691.1     28.50193
+Loop time of 1007.51 on 128 procs for 100000 steps with 1456085 particles
+MPI task timing breakdown:
+Section |  min time  |  avg time  |  max time  |%varavg| %total
+---------------------------------------------------------------
+Move    | 0.013051   | 19.754     | 129.49     | 573.1 |  1.96
+Coll    | 0.46899    | 28.799     | 337.14     | 959.7 |  2.86
+Sort    | 0.2107     | 8.5596     | 84.648     | 502.1 |  0.85
+Comm    | 58.485     | 75.344     | 82.959     |  58.4 |  7.48
+Modify  | 6.8102     | 53.857     | 356.17     | 916.6 |  5.35
+Output  | 0.068671   | 0.07024    | 0.074879   |   0.5 |  0.01
+Other   |            | 821.1      |            |       | 81.50
+Particle moves    = 145569112723 (146B)
+Cells touched     = 152111079282 (152B)
+Particle comms    = 172549808 (173M)
+Boundary collides = 0 (0K)
+Boundary exits    = 16958250 (17M)
+SurfColl checks   = 144761303 (145M)
+SurfColl occurs   = 2850193 (2.85M)
+Surf reactions    = 0 (0K)
+Collide attempts  = 4373781491 (4.37B)
+Collide occurs    = 3355532037 (3.36B)
+Reactions         = 0 (0K)
+Particles stuck   = 0
+Axisymm bad moves = 0
+Particle-moves/CPUsec/proc: 1.12878e+06
+Particle-moves/step: 1.45569e+06
+Cell-touches/particle/step: 1.04494
+Particle comm iterations/step: 1
+Particle fraction communicated: 0.00118535
+Particle fraction colliding with boundary: 0
+Particle fraction exiting boundary: 0.000116496
+Surface-checks/particle/step: 0.000994451
+Surface-collisions/particle/step: 1.95797e-05
+Surf-reactions/particle/step: 0
+Collision-attempts/particle/step: 0.0300461
+Collisions/particle/step: 0.0230511
+Reactions/particle/step: 0
+Particles: 11375.7 ave 80252 max 0 min
+Histogram: 85 15 4 12 2 6 0 0 2 2
+Cells:      1496.22 ave 1497 max 1496 min
+Histogram: 100 0 0 0 0 0 0 0 0 28
+GhostCell: 38710.9 ave 70939 max 2108 min
+Histogram: 20 10 12 10 17 3 6 4 16 30
+EmptyCell: 436.805 ave 731 max 67 min
+Histogram: 7 5 11 19 11 16 15 16 14 14
+Surfs:    200 ave 200 max 200 min
+Histogram: 128 0 0 0 0 0 0 0 0 0
+GhostSurf: 0 ave 0 max 0 min
+Histogram: 128 0 0 0 0 0 0 0 0 0
+write_grid    grid/final-grid.dat
+  grid cells = 191516
+  CPU time = 0.0267819 secs
+write_surf    surf/geom.surf
+  surf elements = 200
+  CPU time = 0.00349823 secs

CylinderKnMa/Kn0p20/simulation0383_Kn0p20Ma5p2/mir.txt ADDED Viewed

	@@ -0,0 +1,3 @@

+dimension     2
+create_box    -5.0 6.0 -5.0 5.0 -0.5 0.5
+read_grid     grid/final-grid.dat

CylinderKnMa/Kn0p20/simulation0383_Kn0p20Ma5p2/output/surf.300000.dat ADDED Viewed

	@@ -0,0 +1,209 @@

+ITEM: TIMESTEP
+300000
+ITEM: NUMBER OF SURFS
+200
+ITEM: BOX BOUNDS oo oo pp
+-5 6
+-5 5
+-0.5 0.5
+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]
+1          0.5            0      0.49975    -0.015705      0.00817      0.34827     -0.34823    0.0054704  -7.5185e-05    -0.004786   -0.0054709    1.075e-05       56.056            0            0
+129     -0.31871      0.38526     -0.30645      0.39508       0.2275       9.5274       5.9569      -7.4355       1.0854      0.86959      0.11062     -0.10313       1624.1            0            0
+2      0.49975    -0.015705      0.49901    -0.031395      0.00869      0.36091     -0.36051     0.017001  -0.00020507   -0.0043485   -0.0056658   0.00019874       46.621            0            0
+130     -0.30645      0.39508     -0.29389      0.40451      0.21646       9.1309       5.4824      -7.3019       1.1225      0.84277      0.10374     -0.10146       1617.4            0            0
+3      0.49901    -0.031395      0.49778    -0.047054      0.00822      0.33538     -0.33434     0.026313    -0.001111    -0.014116   -0.0052691   0.00019158       48.938            0            0
+131     -0.29389      0.40451     -0.28104      0.41354      0.20642       8.6557       4.9771      -7.0816       1.0952      0.76974     0.095379    -0.099143       1525.7            0            0
+4      0.49778    -0.047054      0.49606    -0.062667      0.00807       0.3319     -0.32989      0.03642  -0.00071211   -0.0064502   -0.0051929   0.00047075       50.051            0            0
+132     -0.28104      0.41354     -0.26791      0.42216      0.19457        8.165       4.4828      -6.8244        1.129      0.74164     0.088146    -0.095543       1462.3            0            0
+5      0.49606    -0.062667      0.49384    -0.078217      0.00807      0.33165     -0.32834      0.04673  -0.00016981   -0.0011932     -0.00516   0.00071526       50.071            0            0
+133     -0.26791      0.42216     -0.25452      0.43037      0.18323       7.7208       4.0341      -6.5831       1.1028      0.67579     0.080687    -0.092788       1367.1            0            0
+6      0.49384    -0.078217      0.49114    -0.093691      0.00818      0.33719     -0.33217     0.057972    -0.003276    -0.018771   -0.0052689   0.00061575       58.042            0            0
+134     -0.25452      0.43037     -0.24088      0.43815      0.17485       7.3361       3.6347      -6.3724       1.1691      0.66684     0.075455    -0.089618       1327.6            0            0
+7      0.49114    -0.093691      0.48796     -0.10907      0.00699      0.28604     -0.28009     0.058005  -0.00054275   -0.0026208    -0.004408   0.00086993       50.926            0            0
+135     -0.24088      0.43815       -0.227       0.4455      0.16447       6.9135        3.235      -6.1099       1.1174      0.59162     0.068365    -0.086678         1259            0            0
+8      0.48796     -0.10907      0.48429     -0.12434      0.00725      0.29007     -0.28205     0.067714  -0.00087574   -0.0036477    -0.004444    0.0010063        42.57            0            0
+136       -0.227       0.4455     -0.21289      0.45241      0.15235       6.4448       2.8353      -5.7876       1.1377      0.55734     0.062405    -0.082153       1176.9            0            0
+9      0.48429     -0.12434      0.48015      -0.1395      0.00688      0.28327     -0.27323     0.074747    0.0011975    0.0043773   -0.0042729    0.0012428       45.501            0            0
+137     -0.21289      0.45241     -0.19857      0.45888      0.14753       6.2185        2.559      -5.6676       1.1313      0.51082     0.057965    -0.080999       1143.2            0            0
+10      0.48015      -0.1395      0.47553     -0.15451       0.0066      0.26237     -0.25077     0.077147    0.0029342    0.0095378   -0.0038928    0.0013616       42.712            0            0
+138     -0.19857      0.45888     -0.18406      0.46489      0.13723       5.7456       2.1988      -5.3083       1.0999      0.45561     0.051814    -0.076222       1069.2            0            0
+11      0.47553     -0.15451      0.47044     -0.16937      0.00634       0.2569     -0.24305     0.083213    0.0020608    0.0060191   -0.0037852    0.0014016       43.664            0            0
+139     -0.18406      0.46489     -0.16937      0.47044      0.12652        5.311       1.8773      -4.9681       1.0971      0.41456      0.04672    -0.071525       993.33            0            0
+12      0.47044     -0.16937      0.46489     -0.18406      0.00587      0.23838     -0.22299     0.084262    0.0022085    0.0058446    -0.003468    0.0014153       38.864            0            0
+140     -0.16937      0.47044     -0.15451      0.47553      0.11715       4.9192       1.5934       -4.654       1.0331      0.35371     0.041255    -0.067546       927.35            0            0
+13      0.46489     -0.18406      0.45888     -0.19857      0.00592      0.23168     -0.21405     0.088661    0.0059038     0.014253   -0.0032694    0.0016165       37.991            0            0
+141     -0.15451      0.47553      -0.1395      0.48015      0.11243       4.7124       1.3856      -4.5041       1.0312      0.31723     0.037961    -0.065765       886.02            0            0
+14      0.45888     -0.19857      0.45241     -0.21289      0.00595      0.23287     -0.21224     0.095831    0.0048567     0.010757   -0.0032575    0.0016742       42.558            0            0
+142      -0.1395      0.48015     -0.12434      0.48429      0.10409       4.3611       1.1508      -4.2065       1.0831       0.2963     0.035088     -0.06142       850.03            0            0
+15      0.45241     -0.21289       0.4455       -0.227      0.00492      0.19883     -0.17856     0.087475     0.012776     0.026078    -0.002604    0.0017836       35.879            0            0
+143     -0.12434      0.48429     -0.10907      0.48796      0.09488       3.9776      0.92856      -3.8677      0.96528      0.23174     0.029747    -0.057112       755.54            0            0
+16       0.4455       -0.227      0.43815     -0.24088      0.00499      0.19302     -0.17059     0.090321     0.016108     0.030423   -0.0024264    0.0018966        33.23            0            0
+144     -0.10907      0.48796    -0.093691      0.49114      0.08649       3.6616      0.74253      -3.5856      0.91942       0.1904     0.026105    -0.053329       705.83            0            0
+17      0.43815     -0.24088      0.43037     -0.25452      0.00468      0.17524     -0.15222     0.086825     0.023589     0.041355   -0.0020205    0.0020134       39.009            0            0
+145    -0.093691      0.49114    -0.078217      0.49384      0.08306       3.5153      0.60437      -3.4629      0.90907      0.15866     0.023772    -0.051901       702.91            0            0
+18      0.43037     -0.25452      0.42216     -0.26791      0.00439       0.1758      -0.1499     0.091856     0.020755     0.033868   -0.0020285    0.0019748       36.132            0            0
+146    -0.078217      0.49384    -0.062667      0.49606      0.07685       3.2132      0.45275      -3.1812      0.93419      0.13295     0.021785     -0.04788       644.07            0            0
+19      0.42216     -0.26791      0.41354     -0.28104      0.00422      0.15847     -0.13245     0.087001     0.026602     0.040498   -0.0016625    0.0020027       29.722            0            0
+147    -0.062667      0.49606    -0.047054      0.49778      0.07095        2.958       0.3246      -2.9402      0.83686      0.09239     0.018243    -0.044731       591.68            0            0
+20      0.41354     -0.28104      0.40451     -0.29389      0.00409      0.15295     -0.12513     0.087946     0.029486     0.041954   -0.0015024    0.0020404       33.573            0            0
+148    -0.047054      0.49778    -0.031395      0.49901      0.06505       2.6938      0.21136      -2.6855      0.82827     0.065186      0.01633    -0.041159       542.17            0            0
+21      0.40451     -0.29389      0.39508     -0.30645      0.00441      0.16806      -0.1344      0.10091     0.042719     0.056896     -0.00144    0.0024787       33.874            0            0
+149    -0.031395      0.49901    -0.015705      0.49975      0.06036       2.5007       0.1178      -2.4979      0.76469     0.036062     0.013862    -0.038669       509.02            0            0
+22      0.39508     -0.30645      0.38526     -0.31871      0.00438       0.1604     -0.12518      0.10029     0.049602     0.061913   -0.0011871    0.0025477       36.139            0            0
+150    -0.015705      0.49975            0          0.5      0.05719       2.3573     0.037027       -2.357      0.78421     0.012319     0.012899    -0.036829       479.22            0            0
+23      0.38526     -0.31871      0.37506     -0.33066      0.00503      0.18778     -0.14279      0.12195      0.05344      0.06257   -0.0014034    0.0028983       40.722            0            0
+151            0          0.5     0.015705      0.49975      0.05115       2.1106    -0.033152      -2.1104      0.69713    -0.010951     0.010429     -0.03332        417.7            0            0
+24      0.37506     -0.33066      0.36448     -0.34227      0.00531      0.19494     -0.14418      0.13119     0.068557     0.075343   -0.0011878    0.0032442       45.538            0            0
+152     0.015705      0.49975     0.031395      0.49901      0.04661        1.917    -0.090305      -1.9149      0.67275    -0.031726    0.0091487    -0.030576       394.73            0            0
+25      0.36448     -0.34227      0.35355     -0.35355      0.00501      0.18766     -0.13476      0.13059     0.078534     0.081041  -0.00088319    0.0033242       46.202            0            0
+153     0.031395      0.49901     0.047054      0.49778      0.04243       1.7703     -0.13889      -1.7648      0.64037    -0.050398    0.0078769    -0.028512       370.35            0            0
+26      0.35355     -0.35355      0.34227     -0.36448      0.00598      0.21843     -0.15201      0.15686      0.10447      0.10124  -0.00074659    0.0040541        59.62            0            0
+154     0.047054      0.49778     0.062667      0.49606      0.04087        1.668     -0.18303      -1.6579      0.62151    -0.068615    0.0068873    -0.027119       349.23            0            0
+27      0.34227     -0.36448      0.33066     -0.37506      0.00577      0.22039     -0.14832      0.16301      0.10299     0.093712   -0.0007121    0.0040323       57.908            0            0
+155     0.062667      0.49606     0.078217      0.49384      0.03665       1.5025     -0.21171      -1.4875      0.54983    -0.078252     0.005311    -0.024594        309.2            0            0
+28      0.33066     -0.37506      0.31871     -0.38526      0.00655      0.24667      -0.1602      0.18757      0.12029      0.10274  -0.00062678    0.0045599       69.285            0            0
+156     0.078217      0.49384     0.093691      0.49114      0.03364       1.3519     -0.23243      -1.3318      0.54227    -0.094641    0.0048667    -0.022405       290.55            0            0
+29      0.31871     -0.38526      0.30645     -0.39508      0.00685        0.252     -0.15756      0.19667       0.1204     0.096458  -0.00058371    0.0046042       63.196            0            0
+157     0.093691      0.49114      0.10907      0.48796      0.03066        1.259     -0.25531      -1.2329      0.49508     -0.10253    0.0037661    -0.020975       272.93            0            0
+30      0.30645     -0.39508      0.29389     -0.40451      0.00763      0.28255     -0.16965      0.22595       0.1423      0.10684  -0.00042965    0.0052272       72.998            0            0
+158      0.10907      0.48796      0.12434      0.48429      0.02678       1.0938     -0.25534      -1.0636      0.46247     -0.11103    0.0032535     -0.01845       241.51            0            0
+31      0.29389     -0.40451      0.28104     -0.41354      0.00848      0.32626      -0.1876      0.26693      0.15744      0.11065  -0.00047372    0.0059307       76.933            0            0
+159      0.12434      0.48429       0.1395      0.48015      0.02524       1.0257     -0.27066     -0.98938      0.43898     -0.12009    0.0026437    -0.017427       235.72            0            0
+32      0.28104     -0.41354      0.26791     -0.42216      0.00882      0.33529     -0.18408      0.28023      0.16615      0.10914  -0.00028161     0.006116       83.468            0            0
+160       0.1395      0.48015      0.15451      0.47553      0.02249       0.9133     -0.26855     -0.87293      0.41757     -0.12846    0.0023407    -0.015729       217.43            0            0
+33      0.26791     -0.42216      0.25452     -0.43037      0.01019      0.38348     -0.20037      0.32697      0.19619      0.12023  -6.5596e-05    0.0070242       90.112            0            0
+161      0.15451      0.47553      0.16937      0.47044      0.02102      0.84181     -0.27268     -0.79642      0.38041     -0.13024    0.0016921    -0.014555       191.94            0            0
+34      0.25452     -0.43037      0.24088     -0.43815       0.0117       0.4409     -0.21845      0.38298      0.22563       0.1287   0.00011281     0.008037       109.83            0            0
+162      0.16937      0.47044      0.18406      0.46489      0.01901      0.77033     -0.27229      -0.7206      0.36546      -0.1381    0.0014635    -0.013488       186.33            0            0
+35      0.24088     -0.43815        0.227      -0.4455      0.01261      0.49165     -0.23006       0.4345      0.23286      0.12329   4.4059e-05    0.0087615       123.67            0            0
+163      0.18406      0.46489      0.19857      0.45888      0.01685      0.67494     -0.25829     -0.62356      0.32203     -0.13339    0.0010012     -0.01189       160.05            0            0
+36        0.227      -0.4455      0.21289     -0.45241      0.01409      0.55146     -0.24261      0.49523       0.2628      0.12875    0.0003172     0.009801       131.94            0            0
+164      0.19857      0.45888      0.21289      0.45241       0.0144      0.56906     -0.23418     -0.51864      0.25454     -0.11493    0.0003198   -0.0099517       129.67            0            0
+37      0.21289     -0.45241      0.19857     -0.45888      0.01525      0.59757     -0.24591      0.54463      0.26709       0.1206    0.0003327     0.010449       132.88            0            0
+165      0.21289      0.45241        0.227       0.4455      0.01398      0.55856     -0.24573      -0.5016      0.26466     -0.12965    0.0002972   -0.0099154       133.77            0            0
+38      0.19857     -0.45888      0.18406     -0.46489      0.01729      0.69274      -0.2651      0.64001      0.31282      0.12957   0.00074946     0.012088       159.59            0            0
+166        0.227       0.4455      0.24088      0.43815      0.01246      0.48879     -0.22872     -0.43197      0.23708     -0.12553   0.00013132   -0.0087568       116.82            0            0
+39      0.18406     -0.46489      0.16937     -0.47044      0.01902      0.76471      -0.2703      0.71534      0.35576      0.13443    0.0013423     0.013348       178.75            0            0
+167      0.24088      0.43815      0.25452      0.43037      0.01132      0.44145     -0.21872     -0.38346      0.22317     -0.12729   6.9893e-05   -0.0080226       113.96            0            0
+40      0.16937     -0.47044      0.15451     -0.47553      0.02061      0.82746     -0.26803      0.78285      0.37084      0.12697    0.0016148     0.014291       189.26            0            0
+168      0.25452      0.43037      0.26791      0.42216      0.00995      0.37848     -0.19776     -0.32271      0.19009     -0.11649  -0.00012046   -0.0068986       90.609            0            0
+41      0.15451     -0.47553       0.1395     -0.48015       0.0214      0.87434     -0.25709      0.83568      0.36399      0.11198    0.0016792     0.014885       198.45            0            0
+169      0.26791      0.42216      0.28104      0.41354      0.00895      0.33952      -0.1864     -0.28377      0.17236     -0.11322  -0.00022057   -0.0062357       80.102            0            0
+42       0.1395     -0.48015      0.12434     -0.48429      0.02562       1.0518     -0.27753       1.0145      0.45398       0.1242    0.0027716     0.017886       239.95            0            0
+170      0.28104      0.41354      0.29389      0.40451       0.0084      0.32307     -0.18577     -0.26432      0.16329     -0.11477    -0.000353   -0.0059544        83.57            0            0
+43      0.12434     -0.48429      0.10907     -0.48796      0.02846       1.1627     -0.27143       1.1306      0.47357      0.11369     0.003175     0.019544       265.56            0            0
+171      0.29389      0.40451      0.30645      0.39508      0.00773      0.28511     -0.17119       -0.228       0.1419     -0.10654  -0.00046001   -0.0052548       71.742            0            0
+44      0.10907     -0.48796     0.093691     -0.49114      0.02952       1.2287     -0.24917       1.2032      0.49947      0.10343    0.0039315     0.020524        263.9            0            0
+172      0.30645      0.39508      0.31871      0.38526      0.00706      0.26712     -0.16701     -0.20847      0.13415     -0.10748  -0.00051613   -0.0049626       70.233            0            0
+45     0.093691     -0.49114     0.078217     -0.49384      0.03291       1.3392     -0.23025       1.3192      0.53522      0.09341    0.0047903     0.022189       281.81            0            0
+173      0.31871      0.38526      0.33066      0.37506       0.0064      0.23941     -0.15548     -0.18205      0.11438    -0.097688  -0.00064568   -0.0043939       64.671            0            0
+46     0.078217     -0.49384     0.062667     -0.49606      0.03645       1.4994     -0.21127       1.4845      0.56242     0.080045    0.0055156     0.024575       312.95            0            0
+174      0.33066      0.37506      0.34227      0.36448      0.00576      0.21752      -0.1464     -0.16089      0.10141    -0.092276   -0.0007066   -0.0039765       56.759            0            0
+47     0.062667     -0.49606     0.047054     -0.49778      0.04077       1.6833     -0.18471       1.6731      0.63806     0.070443    0.0071209     0.027386       357.32            0            0
+175      0.34227      0.36448      0.35355      0.35355      0.00568      0.20891     -0.14538     -0.15002     0.088866    -0.086117  -0.00088769   -0.0037091       50.861            0            0
+48     0.047054     -0.49778     0.031395     -0.49901      0.04314        1.802     -0.14138       1.7964      0.64744     0.050955    0.0079488     0.029017       382.49            0            0
+176      0.35355      0.35355      0.36448      0.34227      0.00505      0.18112     -0.13007     -0.12605     0.077591    -0.080068  -0.00082431   -0.0032375       46.849            0            0
+49     0.031395     -0.49901     0.015705     -0.49975      0.04806       1.9833    -0.093426       1.9811      0.68697     0.032397     0.009323     0.031627       414.46            0            0
+177      0.36448      0.34227      0.37506      0.33066      0.00469      0.17372     -0.12849     -0.11692     0.070879    -0.077895  -0.00090488     -0.00306       41.824            0            0
+50     0.015705     -0.49975            0         -0.5      0.05166       2.1409    -0.033628       2.1407      0.72524     0.011393     0.010863     0.033803       437.49            0            0
+178      0.37506      0.33066      0.38526      0.31871      0.00442      0.16232     -0.12343     -0.10542     0.060991    -0.071411   -0.0009807   -0.0027775       42.959            0            0
+51            0         -0.5    -0.015705     -0.49975      0.05494       2.2784     0.035788       2.2782      0.72921    -0.011455     0.012016     0.035604       465.44            0            0
+179      0.38526      0.31871      0.39508      0.30645      0.00454      0.16967     -0.13241     -0.10608     0.041308     -0.05156    -0.001431   -0.0024761       33.664            0            0
+52    -0.015705     -0.49975    -0.031395     -0.49901      0.06131       2.5517       0.1202       2.5488       0.8321    -0.039241     0.014958     0.039419       518.66            0            0
+180      0.39508      0.30645      0.40451      0.29389      0.00426      0.16107      -0.1288    -0.096708     0.044513    -0.059286    -0.001324   -0.0024502         33.7            0            0
+53    -0.031395     -0.49901    -0.047054     -0.49778      0.06542       2.7503      0.21579       2.7419      0.80449    -0.063315     0.016026     0.042073       557.97            0            0
+181      0.40451      0.29389      0.41354      0.28104      0.00428      0.15918     -0.13023    -0.091529     0.039159    -0.055718   -0.0014305   -0.0023129       33.342            0            0
+54    -0.047054     -0.49778    -0.062667     -0.49606      0.06976       2.9076      0.31907       2.8901      0.81939    -0.090461     0.017882     0.043974       575.24            0            0
+182      0.41354      0.28104      0.42216      0.26791       0.0042       0.1611     -0.13465    -0.088448     0.025057    -0.038145   -0.0017214   -0.0019884       32.379            0            0
+55    -0.062667     -0.49606    -0.078217     -0.49384      0.07688       3.2112      0.45247       3.1792       0.9165     -0.13044     0.021503     0.047888        632.7            0            0
+183      0.42216      0.26791      0.43037      0.25452      0.00458      0.17244     -0.14703    -0.090101     0.026857    -0.043826   -0.0018876   -0.0021036         33.3            0            0
+56    -0.078217     -0.49384    -0.093691     -0.49114      0.08262        3.448      0.59281       3.3967      0.91586     -0.15984     0.023697     0.050842       690.46            0            0
+184      0.43037      0.25452      0.43815      0.24088      0.00462      0.17505     -0.15205    -0.086729     0.023433    -0.041082   -0.0020203   -0.0020076       36.131            0            0
+57    -0.093691     -0.49114     -0.10907     -0.48796      0.08762       3.6662      0.74345         3.59      0.92891     -0.19237     0.026268     0.053367       711.22            0            0
+185      0.43815      0.24088       0.4455        0.227      0.00494      0.19762     -0.17465    -0.092471    0.0087618    -0.016548   -0.0026056   -0.0017124       36.229            0            0
+58     -0.10907     -0.48796     -0.12434     -0.48429      0.09496       4.0002      0.93383       3.8897      0.99148     -0.23803     0.030241     0.057358       763.13            0            0
+186       0.4455        0.227      0.45241      0.21289      0.00511      0.20449     -0.18364    -0.089963    0.0013285   -0.0027117   -0.0028636   -0.0014557       35.745            0            0
+59     -0.12434     -0.48429      -0.1395     -0.48015      0.10254       4.2832       1.1302       4.1314       1.0116     -0.27674     0.033642     0.060546        801.4            0            0
+187      0.45241      0.21289      0.45888      0.19857      0.00539      0.21411     -0.19514     -0.08811    0.0072051    -0.015958    -0.002952   -0.0016346       33.114            0            0
+60      -0.1395     -0.48015     -0.15451     -0.47553      0.10938       4.5943       1.3509       4.3912      0.96301     -0.29626     0.036345     0.064321       855.79            0            0
+188      0.45888      0.19857      0.46489      0.18406      0.00538      0.22012     -0.20337    -0.084238    0.0032168   -0.0077661   -0.0031439   -0.0014451        40.96            0            0
+61     -0.15451     -0.47553     -0.16937     -0.47044        0.119       5.0331       1.6303       4.7617       1.1036     -0.37784     0.042942     0.068859       955.39            0            0
+189      0.46489      0.18406      0.47044      0.16937      0.00606      0.24388     -0.22813    -0.086204     0.006425    -0.017003   -0.0034824   -0.0016211       41.179            0            0
+62     -0.16937     -0.47044     -0.18406     -0.46489      0.12816       5.3938       1.9066       5.0456       1.0932     -0.41309     0.047119     0.072764       990.86            0            0
+190      0.47044      0.16937      0.47553      0.15451       0.0062      0.25146      -0.2379    -0.081452    0.0025391   -0.0074162   -0.0036969   -0.0013959       37.557            0            0
+63     -0.18406     -0.46489     -0.19857     -0.45888      0.13555       5.7041       2.1829       5.2699       1.1021      -0.4565     0.051598     0.075606       1063.3            0            0
+191      0.47553      0.15451      0.48015       0.1395      0.00656      0.26226     -0.25066    -0.077114    0.0005418   -0.0017612   -0.0039288   -0.0012389       41.845            0            0
+64     -0.19857     -0.45888     -0.21289     -0.45241      0.14328       6.0819       2.5028       5.5431       1.1443     -0.51667     0.057286     0.078951       1118.9            0            0
+192      0.48015       0.1395      0.48429      0.12434        0.007      0.28895     -0.27871    -0.076247   -0.0010761    0.0039335   -0.0043947   -0.0011359       42.468            0            0
+65     -0.21289     -0.45241       -0.227      -0.4455      0.15261       6.4228       2.8256       5.7678       1.1385     -0.55774     0.062266     0.081836       1161.6            0            0
+193      0.48429      0.12434      0.48796      0.10907      0.00742      0.30753     -0.29904    -0.071792   0.00061047   -0.0025428   -0.0046875   -0.0011676       49.844            0            0
+66       -0.227      -0.4455     -0.24088     -0.43815      0.16613       6.9701       3.2615         6.16       1.1557     -0.61194     0.069384     0.087145       1244.7            0            0
+194      0.48796      0.10907      0.49114     0.093691       0.0074      0.30217     -0.29589    -0.061276   -0.0014353    0.0069307   -0.0046702  -0.00085362       49.337            0            0
+67     -0.24088     -0.43815     -0.25452     -0.43037      0.17282       7.2549       3.5945       6.3019       1.1234     -0.64075     0.074105     0.088921       1304.8            0            0
+195      0.49114     0.093691      0.49384     0.078217      0.00765      0.31561     -0.31091    -0.054262  -0.00085107    0.0048764   -0.0048969  -0.00077571       49.231            0            0
+68     -0.25452     -0.43037     -0.26791     -0.42216      0.18557       7.8127       4.0821       6.6614       1.0953     -0.67118     0.081323      0.09409       1374.7            0            0
+196      0.49384     0.078217      0.49606     0.062667      0.00765      0.31392     -0.31079    -0.044232   -0.0018779     0.013195   -0.0049112  -0.00048752        45.15            0            0
+69     -0.26791     -0.42216     -0.28104     -0.41354      0.19493       8.1719       4.4866       6.8302       1.0961     -0.71997     0.087688     0.095975       1458.3            0            0
+197      0.49606     0.062667      0.49778     0.047054      0.00789      0.32084      -0.3189    -0.035207  -0.00018312    0.0016587   -0.0050119  -0.00052695       46.555            0            0
+70     -0.28104     -0.41354     -0.29389     -0.40451      0.20549        8.611       4.9514       7.0451       1.1759     -0.82645     0.096244     0.097679       1530.2            0            0
+198      0.49778     0.047054      0.49901     0.031395       0.0081      0.33735     -0.33631    -0.026468  -0.00060571    0.0076963    -0.005292  -0.00029485       51.269            0            0
+71     -0.29389     -0.40451     -0.30645     -0.39508       0.2167       9.1084       5.4689       7.2838       1.1503     -0.86369      0.10397      0.10084       1584.9            0            0
+199      0.49901     0.031395      0.49975     0.015705      0.00852       0.3443     -0.34392    -0.016219   0.00017157   -0.0036381   -0.0053994   -0.0003119        52.19            0            0
+72     -0.30645     -0.39508     -0.31871     -0.38526      0.23043       9.6671       6.0443       7.5445       1.1086     -0.88817      0.11235      0.10455       1675.9            0            0
+200      0.49975     0.015705          0.5            0      0.00815      0.34571     -0.34567   -0.0054302  -0.00019297     0.012284   -0.0054326   0.00010766       55.658            0            0
+73     -0.31871     -0.38526     -0.33066     -0.37506      0.24078       10.159       6.5976       7.7248       1.0524     -0.89882      0.12016      0.10722       1759.3            0            0
+74     -0.33066     -0.37506     -0.34227     -0.36448       0.2514       10.589       7.1263       7.8317        1.091     -0.99277      0.12907      0.10742       1839.9            0            0
+75     -0.34227     -0.36448     -0.35355     -0.35355      0.26401        11.13       7.7458       7.9931       1.0013     -0.97034      0.13739      0.11031       1929.2            0            0
+76     -0.35355     -0.35355     -0.36448     -0.34227      0.27702       11.639       8.3585          8.1      0.95754      -0.9881      0.14633      0.11171       1993.4            0            0
+77     -0.36448     -0.34227     -0.37506     -0.33066       0.2869       12.087         8.94       8.1347      0.94381      -1.0372      0.15525      0.11148       2127.4            0            0
+78     -0.37506     -0.33066     -0.38526     -0.31871      0.29986        12.63       9.6042       8.2028      0.96193      -1.1263      0.16597      0.11115       2179.3            0            0
+79     -0.38526     -0.31871     -0.39508     -0.30645      0.31001        13.02       10.161       8.1408      0.87272      -1.0893      0.17332      0.11076       2179.4            0            0
+80     -0.39508     -0.30645     -0.40451     -0.29389      0.32535       13.704       10.959       8.2279      0.82791      -1.1027      0.18513      0.11192       2325.2            0            0
+81     -0.40451     -0.29389     -0.41354     -0.28104      0.33631       14.184       11.605        8.156      0.75216      -1.0702      0.19409       0.1113       2420.1            0            0
+82     -0.41354     -0.28104     -0.42216     -0.26791      0.34644       14.569       12.177       7.9986       0.7296      -1.1107      0.20272      0.10819       2450.2            0            0
+83     -0.42216     -0.26791     -0.43037     -0.25452      0.36067       15.157       12.924       7.9197      0.63556      -1.0371      0.21298      0.10811       2514.8            0            0
+84     -0.43037     -0.25452     -0.43815     -0.24088      0.36732       15.471       13.439       7.6652      0.64927      -1.1383      0.22128      0.10252       2605.6            0            0
+85     -0.43815     -0.24088      -0.4455       -0.227      0.38287       16.074       14.206       7.5217      0.55082      -1.0403      0.23179       0.1018       2718.5            0            0
+86      -0.4455       -0.227     -0.45241     -0.21289      0.39325       16.461       14.783       7.2419      0.52399      -1.0696      0.24043     0.096951       2697.9            0            0
+87     -0.45241     -0.21289     -0.45888     -0.19857      0.40208       16.891       15.395        6.951      0.42213     -0.93492      0.24844     0.094497       2838.5            0            0
+88     -0.45888     -0.19857     -0.46489     -0.18406      0.41299       17.266       15.951       6.6072      0.36834     -0.88925      0.25634     0.089814       2814.8            0            0
+89     -0.46489     -0.18406     -0.47044     -0.16937      0.42131       17.672       16.532       6.2468      0.33732      -0.8927      0.26496     0.084098       2874.1            0            0
+90     -0.47044     -0.16937     -0.47553     -0.15451      0.43092       17.981       17.012       5.8244      0.30352     -0.88652      0.27198     0.077561       2964.6            0            0
+91     -0.47553     -0.15451     -0.48015      -0.1395       0.4369       18.354       17.542       5.3967      0.23918     -0.77748       0.2793     0.072556       3017.8            0            0
+92     -0.48015      -0.1395     -0.48429     -0.12434      0.44311       18.635       17.974       4.9172      0.21048     -0.76938      0.28563     0.065151       3150.1            0            0
+93     -0.48429     -0.12434     -0.48796     -0.10907      0.44902       18.774       18.255       4.3827      0.13667     -0.56927      0.28889     0.059898       3015.7            0            0
+94     -0.48796     -0.10907     -0.49114    -0.093691       0.4567       19.161       18.763       3.8857      0.12312     -0.59452      0.29666     0.051696       3152.9            0            0
+95     -0.49114    -0.093691     -0.49384    -0.078217      0.46304       19.404       19.115       3.3361     0.078043     -0.44717      0.30147     0.045378       3100.3            0            0
+96     -0.49384    -0.078217     -0.49606    -0.062667      0.46201       19.437       19.244       2.7388     0.058244     -0.40925      0.30318      0.03659       3222.3            0            0
+97     -0.49606    -0.062667     -0.49778    -0.047054      0.46807       19.605       19.486       2.1513     0.034861     -0.31577      0.30662     0.028831       3199.8            0            0
+98     -0.49778    -0.047054     -0.49901    -0.031395      0.47561       19.824       19.762       1.5553     0.022345     -0.28391      0.31077     0.019971       3167.8            0            0
+99     -0.49901    -0.031395     -0.49975    -0.015705      0.47444       19.879       19.857      0.93644    0.0069273     -0.14689      0.31201     0.012402       3202.3            0            0
+100     -0.49975    -0.015705         -0.5            0      0.47199       19.841       19.838      0.31164    0.0015404    -0.098057      0.31163    0.0033549       3259.2            0            0
+101         -0.5            0     -0.49975     0.015705      0.47393       19.952        19.95      -0.3134   0.00047612     0.030308      0.31336   -0.0044465       3341.1            0            0
+102     -0.49975     0.015705     -0.49901     0.031395      0.46965       19.659       19.637     -0.92608    0.0067372      0.14286      0.30856    -0.012302       3198.8            0            0
+103     -0.49901     0.031395     -0.49778     0.047054      0.47653       19.947       19.886       -1.565     0.014334      0.18214      0.31257    -0.021722       3259.6            0            0
+104     -0.49778     0.047054     -0.49606     0.062667      0.46642       19.629        19.51      -2.1539     0.038884       0.3522      0.30706      -0.0283       3264.7            0            0
+105     -0.49606     0.062667     -0.49384     0.078217      0.46394       19.452       19.258      -2.7408     0.078574      0.55209      0.30372    -0.034379       3217.7            0            0
+106     -0.49384     0.078217     -0.49114     0.093691      0.46434        19.34       19.052       -3.325     0.072137      0.41333      0.30038    -0.045735       3087.1            0            0
+107     -0.49114     0.093691     -0.48796      0.10907      0.45643       19.034       18.639      -3.8599      0.11875      0.57341      0.29463    -0.051622       3119.8            0            0
+108     -0.48796      0.10907     -0.48429      0.12434      0.45299       18.962       18.438      -4.4266      0.14748      0.61428      0.29193    -0.059881       3053.3            0            0
+109     -0.48429      0.12434     -0.48015       0.1395      0.44126       18.633       17.972      -4.9167      0.21513      0.78639      0.28568    -0.064876       3172.8            0            0
+110     -0.48015       0.1395     -0.47553      0.15451      0.43572       18.274       17.467      -5.3734      0.23275      0.75655      0.27801    -0.072518       2996.9            0            0
+111     -0.47553      0.15451     -0.47044      0.16937      0.43046       18.005       17.035      -5.8322      0.28094      0.82057      0.27198    -0.078719       2916.9            0            0
+112     -0.47044      0.16937     -0.46489      0.18406      0.42148       17.579       16.444      -6.2137      0.36396       0.9632      0.26401    -0.082471       2886.4            0            0
+113     -0.46489      0.18406     -0.45888      0.19857      0.41024        17.15       15.844      -6.5629      0.39342      0.94981      0.25505    -0.088167       2838.4            0            0
+114     -0.45888      0.19857     -0.45241      0.21289      0.39898       16.769       15.283      -6.9007      0.44152      0.97785        0.247    -0.093032       2755.1            0            0
+115     -0.45241      0.21289      -0.4455        0.227      0.39432       16.563       14.874      -7.2869      0.48498      0.98998      0.24125    -0.098907       2752.5            0            0
+116      -0.4455        0.227     -0.43815      0.24088      0.38257        16.03       14.167      -7.5009      0.56536       1.0678       0.2314     -0.10105       2668.2            0            0
+117     -0.43815      0.24088     -0.43037      0.25452      0.37525       15.735       13.668      -7.7959      0.62813       1.1012      0.22455     -0.10516       2606.9            0            0
+118     -0.43037      0.25452     -0.42216      0.26791       0.3611       15.064       12.844      -7.8711      0.65706       1.0722      0.21207     -0.10679       2448.8            0            0
+119     -0.42216      0.26791     -0.41354      0.28104      0.34634       14.483       12.105      -7.9517      0.70868       1.0789      0.20127     -0.10795       2391.8            0            0
+120     -0.41354      0.28104     -0.40451      0.29389       0.3387       14.173       11.595      -8.1494      0.75007       1.0672      0.19391     -0.11124       2367.7            0            0
+121     -0.40451      0.29389     -0.39508      0.30645      0.32858       13.732       10.981      -8.2451      0.83934       1.1179      0.18567     -0.11195       2255.7            0            0
+122     -0.39508      0.30645     -0.38526      0.31871      0.31087       13.008       10.151      -8.1329      0.83666       1.0443      0.17259     -0.11134       2180.6            0            0
+123     -0.38526      0.31871     -0.37506      0.33066      0.30014       12.557       9.5486      -8.1553      0.88871       1.0405      0.16394     -0.11175       2072.3            0            0
+124     -0.37506      0.33066     -0.36448      0.34227      0.28941         12.1       8.9498      -8.1437      0.98615       1.0838      0.15607     -0.11089       2029.4            0            0
+125     -0.36448      0.34227     -0.35355      0.35355      0.27678       11.606       8.3347      -8.0769       1.0186       1.0512      0.14692     -0.11036       1985.1            0            0
+126     -0.35355      0.35355     -0.34227      0.36448      0.26112       10.962       7.6288      -7.8724       1.0326       1.0007      0.13605     -0.10794       1868.6            0            0
+127     -0.34227      0.36448     -0.33066      0.37506      0.25203       10.554       7.1029       -7.806       1.0494      0.95484      0.12805     -0.10761       1759.7            0            0
+128     -0.33066      0.37506     -0.31871      0.38526      0.23923       10.086       6.5501      -7.6692       1.0324      0.88174       0.1191     -0.10661       1759.4            0            0

CylinderKnMa/Kn0p20/simulation0383_Kn0p20Ma5p2/runmpirun128.sh ADDED Viewed

	@@ -0,0 +1,18 @@

+#!/bin/bash
+#SBATCH -J Cylinder——Kn
+#SBATCH -p wzhcnormal
+#SBATCH -N 2
+#SBATCH --ntasks-per-node=64
+module purge
+module load compiler/devtoolset/7.3.1
+module load mpi/hpcx/2.11.0/gcc-7.3.1
+export UCX_WARN_UNUSED_ENV_VARS=n
+/public/software/mpi/hpcx/v2.11.0/gcc-7.3.1/bin/mpirun -n 128 ../../../sep2024-sparta/src/spa_mpi <config.txt
+/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
+/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
+/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/Kn0p20/simulation0383_Kn0p20Ma5p2/runmpirun64.sh ADDED Viewed

	@@ -0,0 +1,18 @@

+#!/bin/bash
+#SBATCH -J Cylinder——Kn
+#SBATCH -p wzhcnormal
+#SBATCH -N 1
+#SBATCH --ntasks-per-node=64
+module purge
+module load compiler/devtoolset/7.3.1
+module load mpi/hpcx/2.11.0/gcc-7.3.1
+export UCX_WARN_UNUSED_ENV_VARS=n
+/public/software/mpi/hpcx/v2.11.0/gcc-7.3.1/bin/mpirun -n 64 ../../../sep2024-sparta/src/spa_mpi <config.txt
+/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
+/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
+/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/Kn0p20/simulation0383_Kn0p20Ma5p2/slurm-28428682.out ADDED Viewed

	@@ -0,0 +1,208 @@

+SPARTA (4 Sep 2024)
+Running on 128 MPI task(s)
+Running on 128 MPI task(s)
+Created orthogonal box = (-5 -5 -0.5) to (6 5 0.5)
+Created 191516 child grid cells
+  CPU time = 0.199176 secs
+  create/ghost percent = 0.770084 99.2299
+Balance grid migrated 191124 cells
+  CPU time = 0.158062 secs
+  reassign/sort/migrate/ghost percent = 35.0354 0.0314491 6.94735 57.9858
+Reading surface file ...
+  200 lines
+  -0.5 0.5 xlo xhi
+  -0.5 0.5 ylo yhi
+  0 0 zlo zhi
+  0.0157073 min line length
+  644 0 = cells overlapping surfs, overlap cells with unmarked corner pts
+  171120 19752 644 = cells outside/inside/overlapping surfs
+  644 = surf cells with 1,2,etc splits
+  109.214731023046 109.214731023047 = cell-wise and global flow volume
+  CPU time = 0.1707 secs
+  read/check/sort/surf2grid/ghost/inout/particle percent = 15.5146 13.2262 1.59665 16.2969 53.3656 3.93962 0.083942
+  surf2grid time = 0.0278188 secs
+  map/comm1/comm2/comm3/comm4/split percent = 19.3663 22.7871 8.15062 1.44312 9.84598 5.69658
+Balance grid migrated 2352 cells
+  CPU time = 0.102711 secs
+  reassign/sort/migrate/ghost percent = 3.15393 0.0482217 8.65153 88.1463
+Creating particles ...
+Created 1310576 particles
+  CPU time = 0.0243526 secs
+Memory usage per proc in Mbytes:
+  particles (ave,min,max) = 2.16211 0 5.0625
+  grid      (ave,min,max) = 7.30725 1.51379 13.7013
+  surf      (ave,min,max) = 0.0205994 0.0205994 0.0205994
+  total     (ave,min,max) = 9.48996 4.15939 16.1594
+Step CPU Np Natt Ncoll Nscoll Npave Nscollave
+       0            0  1310576        0        0        0            0            0
+   10000    35.595346  1407213    34325    29700       23    1336724.2      27.5584
+   20000    94.924068  1452288    36547    31802       33    1388264.3      28.0037
+   30000    157.17117  1455582    36722    32151       27    1410555.7      28.2011
+   40000    219.62751  1455778    36382    31645       33    1421774.9     28.26445
+   50000    282.05093  1456924    36599    31829       26    1428809.4     28.28532
+   60000    343.88253  1456129    36621    31871       34    1433501.1    28.342083
+   70000    406.20299  1456091    36515    31933       24    1436821.2    28.363143
+   80000    468.50349  1455179    36457    31723       30    1439133.9    28.374588
+   90000    530.94402  1457022    36500    31759       20      1441018    28.392056
+  100000    593.24556  1456894    36715    31959       24    1442546.3     28.39631
+  110000    655.57576  1456165    36465    31805       38    1443786.2    28.395355
+  120000    718.63419  1455699    36651    31905       25    1444761.2    28.408783
+  130000    780.80975  1455749    36455    31818       39    1445572.1    28.413477
+  140000     843.2507  1455710    36640    31937       26    1446357.5    28.425443
+  150000    905.70341  1456119    36594    31935       27    1446991.6      28.4314
+  160000    967.86833  1456798    36579    31835       22    1447559.7    28.444906
+  170000    1029.9743  1458122    36529    31736       23    1448146.4    28.453129
+  180000    1092.1639  1456672    36426    31767       31    1448641.6    28.454589
+  190000    1154.5915  1455516    36427    31781       36    1449024.8    28.464337
+  200000    1216.8811  1457389    36624    31790       29    1449407.7    28.466025
+Loop time of 1216.88 on 128 procs for 200000 steps with 1457389 particles
+MPI task timing breakdown:
+Section |  min time  |  avg time  |  max time  |%varavg| %total
+---------------------------------------------------------------
+Move    | 0.023998   | 38.949     | 262.87     | 828.4 |  3.20
+Coll    | 0.9326     | 53.523     | 627.42     |1293.8 |  4.40
+Sort    | 0.32856    | 15.741     | 158.37     | 713.5 |  1.29
+Comm    | 106.82     | 137.5      | 151.27     |  80.4 | 11.30
+Modify  | 0.021257   | 0.30095    | 5.0691     | 140.2 |  0.02
+Output  | 0.0050139  | 0.065547   | 0.07162    |   4.0 |  0.01
+Other   |            | 970.8      |            |       | 79.78
+Particle moves    = 289881540337 (290B)
+Cells touched     = 302926425616 (303B)
+Particle comms    = 344210680 (344M)
+Boundary collides = 0 (0K)
+Boundary exits    = 33775071 (33.8M)
+SurfColl checks   = 288400007 (288M)
+SurfColl occurs   = 5693205 (5.69M)
+Surf reactions    = 0 (0K)
+Collide attempts  = 8638983889 (8.64B)
+Collide occurs    = 6629973956 (6.63B)
+Gas reactions     = 0 (0K)
+Particles stuck   = 0
+Axisymm bad moves = 0
+Particle-moves/CPUsec/proc: 1.86106e+06
+Particle-moves/step: 1.44941e+06
+Cell-touches/particle/step: 1.045
+Particle comm iterations/step: 1
+Particle fraction communicated: 0.00118742
+Particle fraction colliding with boundary: 0
+Particle fraction exiting boundary: 0.000116513
+Surface-checks/particle/step: 0.000994889
+Surface-collisions/particle/step: 1.96398e-05
+Surface-reactions/particle/step: 0
+Collision-attempts/particle/step: 0.0298018
+Collisions/particle/step: 0.0228713
+Gas-reactions/particle/step: 0
+Particles: 11385.9 ave 80739 max 0 min
+Histogram: 85 15 4 12 2 6 0 0 2 2
+Cells:     1496.22 ave 1497 max 1496 min
+Histogram: 100 0 0 0 0 0 0 0 0 28
+GhostCell: 38710.9 ave 70939 max 2108 min
+Histogram: 20 10 12 10 17 3 6 4 16 30
+EmptyCell: 436.805 ave 731 max 67 min
+Histogram: 7 5 11 19 11 16 15 16 14 14
+Surfs:     200 ave 200 max 200 min
+Histogram: 128 0 0 0 0 0 0 0 0 0
+GhostSurf: 0 ave 0 max 0 min
+Histogram: 128 0 0 0 0 0 0 0 0 0
+Memory usage per proc in Mbytes:
+  particles (ave,min,max) = 2.32031 0 8.4375
+  grid      (ave,min,max) = 7.30725 1.51379 13.7013
+  surf      (ave,min,max) = 0.0205994 0.0205994 0.0205994
+  total     (ave,min,max) = 10.1507 4.66193 16.6619
+Step CPU Np Natt Ncoll Nscoll Npave Nscollave
+  200000            0  1457389    36624    31790        0            0            0
+  210000    100.73764  1454325    36417    31772       21    1455758.3      28.5768
+  220000    201.06131  1454341    36542    31832       32    1455386.3     28.54965
+  230000    302.14752  1456384    36755    32023       22    1455298.9    28.554033
+  240000      402.785  1455435    36552    31803       21    1455462.3     28.52455
+  250000    503.90052  1456332    36599    31875       36    1455591.2     28.51302
+  260000    604.84956  1456305    36509    31846       31    1455698.5    28.507183
+  270000     705.5407  1455396    36418    31672       46    1455812.4      28.5091
+  280000    806.38512  1455464    36313    31498       27    1455721.2    28.502212
+  290000    906.68237  1455601    36324    31594       30    1455625.2    28.501711
+  300000     1007.513  1456085    36501    31862       22    1455691.1     28.50193
+Loop time of 1007.51 on 128 procs for 100000 steps with 1456085 particles
+MPI task timing breakdown:
+Section |  min time  |  avg time  |  max time  |%varavg| %total
+---------------------------------------------------------------
+Move    | 0.013051   | 19.754     | 129.49     | 573.1 |  1.96
+Coll    | 0.46899    | 28.799     | 337.14     | 959.7 |  2.86
+Sort    | 0.2107     | 8.5596     | 84.648     | 502.1 |  0.85
+Comm    | 58.485     | 75.344     | 82.959     |  58.4 |  7.48
+Modify  | 6.8102     | 53.857     | 356.17     | 916.6 |  5.35
+Output  | 0.068671   | 0.07024    | 0.074879   |   0.5 |  0.01
+Other   |            | 821.1      |            |       | 81.50
+Particle moves    = 145569112723 (146B)
+Cells touched     = 152111079282 (152B)
+Particle comms    = 172549808 (173M)
+Boundary collides = 0 (0K)
+Boundary exits    = 16958250 (17M)
+SurfColl checks   = 144761303 (145M)
+SurfColl occurs   = 2850193 (2.85M)
+Surf reactions    = 0 (0K)
+Collide attempts  = 4373781491 (4.37B)
+Collide occurs    = 3355532037 (3.36B)
+Gas reactions     = 0 (0K)
+Particles stuck   = 0
+Axisymm bad moves = 0
+Particle-moves/CPUsec/proc: 1.12878e+06
+Particle-moves/step: 1.45569e+06
+Cell-touches/particle/step: 1.04494
+Particle comm iterations/step: 1
+Particle fraction communicated: 0.00118535
+Particle fraction colliding with boundary: 0
+Particle fraction exiting boundary: 0.000116496
+Surface-checks/particle/step: 0.000994451
+Surface-collisions/particle/step: 1.95797e-05
+Surface-reactions/particle/step: 0
+Collision-attempts/particle/step: 0.0300461
+Collisions/particle/step: 0.0230511
+Gas-reactions/particle/step: 0
+Particles: 11375.7 ave 80252 max 0 min
+Histogram: 85 15 4 12 2 6 0 0 2 2
+Cells:     1496.22 ave 1497 max 1496 min
+Histogram: 100 0 0 0 0 0 0 0 0 28
+GhostCell: 38710.9 ave 70939 max 2108 min
+Histogram: 20 10 12 10 17 3 6 4 16 30
+EmptyCell: 436.805 ave 731 max 67 min
+Histogram: 7 5 11 19 11 16 15 16 14 14
+Surfs:     200 ave 200 max 200 min
+Histogram: 128 0 0 0 0 0 0 0 0 0
+GhostSurf: 0 ave 0 max 0 min
+Histogram: 128 0 0 0 0 0 0 0 0 0
+Writing grid file ...
+  grid cells = 191516
+  CPU time = 0.0267819 secs
+Writing surface file ...
+  surf elements = 200
+  CPU time = 0.00349823 secs
+Processing  6  grid chunk(s).
+Completed grid chunk number:  2
+Completed grid chunk number:  5
+Completed grid chunk number:  0
+Completed grid chunk number:  1
+Completed grid chunk number:  3
+Completed grid chunk number:  4
+Done in 0:00:12 (wall clock time)
+Processing  6  grid chunk(s).
+Completed grid chunk number:  5
+Completed grid chunk number:  2
+Completed grid chunk number:  1
+Completed grid chunk number:  4
+Completed grid chunk number:  3
+Completed grid chunk number:  0
+Done in 0:00:11 (wall clock time)
+Processing SPARTA surface information.
+Processing dump result file:  ['./output/surf.300000.dat']