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  1. .gitattributes +6 -0
  2. CylinderKnMa/Kn0p28/simulation0591_Kn0p28Ma6p0/output/grid.300000.dat +3 -0
  3. CylinderKnMa/Kn0p28/simulation0595_Kn0p28Ma6p4/output/grid.300000.dat +3 -0
  4. CylinderKnMa/Kn0p28/simulation0596_Kn0p28Ma6p5/output/grid.300000.dat +3 -0
  5. CylinderKnMa/Kn0p28/simulation0597_Kn0p28Ma6p6/output/grid.300000.dat +3 -0
  6. CylinderKnMa/Kn0p28/simulation0598_Kn0p28Ma6p7/output/grid.300000.dat +3 -0
  7. CylinderKnMa/Kn0p28/simulation0599_Kn0p28Ma6p8/output/grid.300000.dat +3 -0
  8. CylinderKnMa/Kn0p32/simulation0679_Kn0p32Ma4p8/Grid.pvd +9 -0
  9. CylinderKnMa/Kn0p32/simulation0679_Kn0p32Ma4p8/Lambda.pvd +9 -0
  10. CylinderKnMa/Kn0p32/simulation0679_Kn0p32Ma4p8/Lambda/Lambda_0_300000.vtu +0 -0
  11. CylinderKnMa/Kn0p32/simulation0679_Kn0p32Ma4p8/Lambda/Lambda_1_300000.vtu +0 -0
  12. CylinderKnMa/Kn0p32/simulation0679_Kn0p32Ma4p8/Lambda/Lambda_2_300000.vtu +27 -0
  13. CylinderKnMa/Kn0p32/simulation0679_Kn0p32Ma4p8/Lambda/Lambda_300000.pvtu +21 -0
  14. CylinderKnMa/Kn0p32/simulation0679_Kn0p32Ma4p8/Lambda/Lambda_3_300000.vtu +27 -0
  15. CylinderKnMa/Kn0p32/simulation0679_Kn0p32Ma4p8/Surf.pvd +9 -0
  16. CylinderKnMa/Kn0p32/simulation0679_Kn0p32Ma4p8/cylinder.surf +410 -0
  17. CylinderKnMa/Kn0p32/simulation0679_Kn0p32Ma4p8/gas.species +14 -0
  18. CylinderKnMa/Kn0p32/simulation0679_Kn0p32Ma4p8/gas.vhs +9 -0
  19. CylinderKnMa/Kn0p32/simulation0679_Kn0p32Ma4p8/grid/Grid_0_300000.vtu +0 -0
  20. CylinderKnMa/Kn0p32/simulation0679_Kn0p32Ma4p8/grid/Grid_1_300000.vtu +0 -0
  21. CylinderKnMa/Kn0p32/simulation0679_Kn0p32Ma4p8/grid/Grid_2_300000.vtu +0 -0
  22. CylinderKnMa/Kn0p32/simulation0679_Kn0p32Ma4p8/grid/Grid_300000.pvtu +29 -0
  23. CylinderKnMa/Kn0p32/simulation0679_Kn0p32Ma4p8/grid/Grid_3_300000.vtu +35 -0
  24. CylinderKnMa/Kn0p32/simulation0679_Kn0p32Ma4p8/grid/final-grid.dat +0 -0
  25. CylinderKnMa/Kn0p32/simulation0679_Kn0p32Ma4p8/log.sparta +318 -0
  26. CylinderKnMa/Kn0p32/simulation0679_Kn0p32Ma4p8/mir.txt +3 -0
  27. CylinderKnMa/Kn0p32/simulation0679_Kn0p32Ma4p8/output/lambdakn.300000.dat +0 -0
  28. CylinderKnMa/Kn0p32/simulation0679_Kn0p32Ma4p8/output/surf.300000.dat +209 -0
  29. CylinderKnMa/Kn0p32/simulation0679_Kn0p32Ma4p8/runmpirun128.sh +18 -0
  30. CylinderKnMa/Kn0p32/simulation0679_Kn0p32Ma4p8/runmpirun64.sh +18 -0
  31. CylinderKnMa/Kn0p32/simulation0679_Kn0p32Ma4p8/slurm-28429594.out +204 -0
  32. CylinderKnMa/Kn0p32/simulation0679_Kn0p32Ma4p8/surf/Surf_300000.vtu +38 -0
  33. CylinderKnMa/Kn0p32/simulation0679_Kn0p32Ma4p8/surf/geom.surf +610 -0
  34. CylinderKnMa/Kn0p32/simulation0680_Kn0p32Ma4p9/Grid.pvd +9 -0
  35. CylinderKnMa/Kn0p32/simulation0680_Kn0p32Ma4p9/Lambda.pvd +9 -0
  36. CylinderKnMa/Kn0p32/simulation0680_Kn0p32Ma4p9/Lambda/Lambda_0_300000.vtu +0 -0
  37. CylinderKnMa/Kn0p32/simulation0680_Kn0p32Ma4p9/Lambda/Lambda_1_300000.vtu +0 -0
  38. CylinderKnMa/Kn0p32/simulation0680_Kn0p32Ma4p9/Lambda/Lambda_2_300000.vtu +27 -0
  39. CylinderKnMa/Kn0p32/simulation0680_Kn0p32Ma4p9/Lambda/Lambda_300000.pvtu +21 -0
  40. CylinderKnMa/Kn0p32/simulation0680_Kn0p32Ma4p9/Lambda/Lambda_3_300000.vtu +27 -0
  41. CylinderKnMa/Kn0p32/simulation0680_Kn0p32Ma4p9/Surf.pvd +9 -0
  42. CylinderKnMa/Kn0p32/simulation0680_Kn0p32Ma4p9/config.txt +78 -0
  43. CylinderKnMa/Kn0p32/simulation0680_Kn0p32Ma4p9/cylinder.surf +410 -0
  44. CylinderKnMa/Kn0p32/simulation0680_Kn0p32Ma4p9/gas.species +14 -0
  45. CylinderKnMa/Kn0p32/simulation0680_Kn0p32Ma4p9/gas.vhs +9 -0
  46. CylinderKnMa/Kn0p32/simulation0680_Kn0p32Ma4p9/grid/Grid_0_300000.vtu +0 -0
  47. CylinderKnMa/Kn0p32/simulation0680_Kn0p32Ma4p9/grid/Grid_1_300000.vtu +0 -0
  48. CylinderKnMa/Kn0p32/simulation0680_Kn0p32Ma4p9/grid/Grid_2_300000.vtu +0 -0
  49. CylinderKnMa/Kn0p32/simulation0680_Kn0p32Ma4p9/grid/Grid_300000.pvtu +29 -0
  50. CylinderKnMa/Kn0p32/simulation0680_Kn0p32Ma4p9/grid/Grid_3_300000.vtu +35 -0
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eJzt2ytMw1AUgGEk63gzPWzR6Ca4YZmeRg8Lunoa7Kanq8GCnp4edmh6zwk7CTkQXsvpkv+aT/yma7O79d62X3XLxeX2eR9/5Olg9LDMzdvOtDe/Mel0Op3ezB71u/GapwPCv/r8lIZ5Up/dqttaSafT6XS/R8/f797fpdHCf/a6yGbjofm4TCfcpNPp9E3t0fPrR+UwiwzXrNy+d8wrGSadTqd/1qPnr+9aH3z9CTBKWa6tTL0s7ZV0Oj2uR88Pv1WW38o2Nsy0GpkPTPn7MDXp9Cb36O/PutT9+x3ccLdkmPo8hEn/ukdfv6ao+5mI6Kn7JbuI6KjrwnuI6KjrbYjoqesv+4joqOsXB4joqOt5iOg5GaYbdUT01PemENHzIj0O0TtEREd9XwkRPV/SY2cLRPSUbfTiCBEdZRtkhIiechsyR0TPMxnHiOhYynthiOiZ7kKyGSJ6vgFolywYAQAAAACAAADwYgAAaCUAAA==eJxlnHdcFNfXxi3YsKAINtTYwIYFLNjwilgwRmJBESzYsGAJNlTAglGJkV2ahR27qIgFLGAMNmJsERsW1IiNaMSCDVRQxPfC65f7+2z+ms/C7MydU57znOfc2emxPx+r/4MmGm96ObGP0ESpqvPet7DXxB0vvx/r19DEmQyH5WtMNdGl4Zyr1nU1sTfW1vRoM00MTXa8srmjJmo5d06N66mJnn73z07sq45rbXZsudtfE562vd+t6aGJcy4fyndw1sQQR8PinAGa2O6Q3neGPP7bIHPyUHlee++Y72701sSS7IzT7l01YalLPHnIURNLYyemDZbff32mZtbbnurv1U2r+ZYfqgkr2w3b88ZrorKV95eJ4zQxxXfEiPmjNWHq/ejF1FGaqJG8Oqi0pyZaJs9b7+CqiUHBljPyXDSxOeVGk/lyPV3dhkTM7aSJDwl/ekV20MSw7LrhrwdropqbbnTlgZr4NeWtaa8fNXGhYEGdtvJ781wP9TgqvzfYNOn4djtNvExPqB3TUBP14nvkbJd27G077vZYebyVnvp1VitNVJnaYtWp1prokeyZOFWuf2r2192NpX3+iDVr8lraM8421WNiNU1sDRrecbaLsudaP5/WDrU08dUj+5828joLHb0Ojeyo7B8WfOLoGmtNJAUve/2lslzPrb8/u1lqIjtlTIiLhfo7ftuf4TZ1rPRnoOmSt5XqaOJT1ovkzo3V937OazkhrpImDnrnJVX6ahAns1eZ59RU1/s181baj/Lvq6x+i9pspYm7lp/G1LZSz+FndWPR1KZqvV+if7rWXq7TJ7nBs+stNPFXijb8YUtN/GBVpX9pGWcj4585OTXXxKGo24Ej5XXq2z9xHijtfyr91ZPunWUcOX81qSnPr5N3LCNW2qtvfNlmleX/Z3sPnO7bSPkV/7DOZzZ25ffK9dw2O/DHqX6a2GA5qPrC7mo9Nm6+8516aaL12eQu+u80ccyxfMk8c01sS3DIPTVBE7X9akUWyPj5PvHHc+PLqvPyNtq0uz9MxU2EY89LYfK5PPK82/ZpIvMkYtbHzvI+XlE/WIZ8rwl354z6/eX3Xnl5TBlsquKD+Jp+dsovLfINYvjZFTM+lJP3i5ry2X2Yeh7rhuGH3zb9b75NDM4NbiXj/7jv01MubTQREHx361g79blsv83DUuV9n3tUvfBZxvVBl+qvS8jrnbWs2feJjSamOZ/ptLi6Jny9yl2uPUjFW6NOrf/ZWVbF3d9n2l8/7qqe55LJn7+vqK1wIcjm1IoYd02Uybtzfu4QTfzY0F3eUj1vpG/D0Id9VN75u+U/qGap4mF/ROi9MvK6TVJTmq0doQlH01vRvo7qfo2sXGqul/bIeHqyXLzM449PtzX8R663Q9SKR41lnqc2KCNvqYlJSbf6LfRQ54dnBYoO0n/tMkpdbTZK3T/O7IXOc6wmxqS0vHV3oibGp87xs5f2SQmq73O3rSY2BZitqztPPpfHVpePszXxKOFhby8nTfTz/rVz+S6aMPHrsOCCj4yjFSvLNp+v7AsumaVmVhk3ScZf2lT/gRI3NK9LJZd2Vnj6LmB9wcu+Cj/+KYRVaYcK9qVa1JX3+c77dJkt8vkSC9aWyJf2dLBqaXdF2iEqvdnBNHm9Yw0adciSz31tyOOqM2crvDQ5+6msjYPEzbT83P6rNGF413BXneOaWJN95v6qNuq8Lk9jOlU5polVj56X+OWoJmakj1s0Y7KM99iPbq4BmniyZNSATQc1kd/x9PxLezTx3qJzr/QNEt+2ZQaF/qGJ5G4TLgRv0cTjAYtWua6VeRBeXjfmH5nPj5wOvbgv7bDLruG/EfJ6Hvbn3sVp4rxThXbTv2pi+E83TK9/1ETO6dmHl1zVxNzwnh65nzSx76R1ia+rNdG02iMvE51B6C8MuHEtXeK52eHbWYekHSSq7n6zTqwVD2rY3lwjClHpmYzPS/NHPEu8EyUcvsZ3mbU9UvztXn97zPlwcdEmeX9+3lqxYfDolluPrhY/bG+//tzYMFGt/vS6B2qEin5b/th5OTpCfJ/w+G1Cfpi4FjM0J3iiXiR4vP/971914l2FOwus1uvEhimnPkTa6YVMatNWL/RiaWf//Ps7Q8XbTaVTqtmHCfvMZVed1oWJptEX2r4qGy46L1n04OSCcFGxxe5FO7LDRYD57Q0/T4oQA46V7jblUYTQl1nuZOgTKV7Z5O58dihSHA7qOjCmmyYSUn7rvtdB1V3yiPhO8tnU+J2M36NZPWdv7KPylLh663Ks28aW6ki9Ge09fUi31gqHN0W9H9esqcKHuoFj7YfKeO+06coS/3aaaKGLuvNU4keyzdQbzu0lzvn0nanvouKSvATnqAvebrXP3mugcHyL64I5jW01scfmlyQzWa8X+Xafu1fiXKhDXqsuMj8Dk5LGH5D1foKJW6elbgo/wNNoky/L69spvGt2y+L8S3m9lVHm/XJk/lx22BaQJvG/Td7m/HuSH2SZrb77wVFdD1xsZ39+1LLmKh/9HWpYlPVWz8f63uR+iHPykrhlMrO+6xhZ/9J7R20bKethUk6bft4qX6f5bf90uY3ChTCf269XzlX1iLr+5Gqju3mLJK57nGj952L1d5ksnq+lnwc6DHy4MVDG79P0LP8pMk+k9Tyl3xYnly5dXuK1i+WZPXuna6J/isvxmFma6La9VoNUE038llrifqkK0i4hfbrHz1f3DzcdX9Gpiqq7az2WjWsp8/lPs8sx+qHKr/Aa4gmelFMgXKPaqvpB3Rseu2Xbc+mXmzaur+ZJPzje+vioQUPFq9ZH7P0zdaiqBzwH/oT3ufv98VDrqvBnX3rFi6a9Fa8qobu2Y3E/xb/APdZPHFa/ZRd3pJPC+QoZ3TYkz1G4neg6Uu8u4zCmgbD6fYbEq5OXB6yfqQmhC8i2kvUuxtH66en6muiY4h09W/rn+JCSH7tJ/wT5BVuUlvEc77Xf6rDMk6HR7qVXr9DEnIB+4xP0ih9xnfieF37cvVDGY4DtwsylmpjsGGho1lPVobO5bQPu+Ek+E/Bu/8CpKp7u9Az72Xyisv+J6LPLoqR9rE32PH8i683/h60mPjdIWbpS4kAr57ovMmSdty8iGCqu+P8CE4fBhyVP/Nqtcq0mC1U8wJ+uZlnrUrsoHCHvWvt93msv7TvANavSEFlvXTKePBs5SOEL66uf8d3hnMkqz+Bh5MnJtB19Miep+vKTbbNKF2ReZcf5yxIh63/h5TxV3Sz20zf/En/UV3g8fQH50tzxev8Qb2U/+B18iTil3ttWdWweKXlt9aYfu1qUUXUfnl6nRnRc4keDaL9U9+LBe4MoHWnVO02e37ZooRIf/NqO21xCxrnOqekymVdjMqtFP5U8x2D7StjXk/hcRDg1McpeH/5S8vWZGXvqnemsnot4gl+Rr0tDlpj2DVP4CC7f+H3b6qp7ZVxZP/550yW1Tup59Y3eNbbeljx71eSuO1+p+xDf7YsI+HoR8++sn7dWWS/MEko5D/tN2rEoACTPsHi6K1rW5xFeTRKeyDjct020z36siRCLC6du3ZL4abAu6eNjEH/eLjTwWjHt8h/ttvaLEOY1l/R5di1UhJzMqmB+Vyf6OvaK7vqLTjyy7vQ+6LFO7IoJTf5ukV7UKEqkUOG5edYPNT6Giio5A++uGBQmzid01GUlhonn1mftv5iHi1537ea6+4WLYUeeNG7+LFxU6hE955lXhHBqPfNx0PmI4jqzM6uQOEp+kFLlrZmMz2SP79dGSpy4Hh276aJQdRKe/aBgZPsJ3RSeg9dF7d33imfTB+TYfVc18wcVN78l1DH/OFzVKfpQ+jz4KffBL8R1QZrr6mW9VJ00XifnUT/upyycZSFxShpxo3Nthb/0Q+Qt9Z28pE9m/eFJGxc+cVJ1k/WBs8X1KKt8TJk2qm7SX2ZGhxwp0V6ti/6celEEF5KXVm0Yt+G45AcHLNu3OmCv+k/ilLxnXfS5T333fdhfU63/74ih1WbYq/4DXGdd4At5cc33QnpgY/V3vk8/RP/gYr9n3hGZl6uT/63bTeZbxcSdC87Jur8utt+bFe1VvsG3qHPwg1EZ50uH91Z+o7+Ch2PnKpsqDDDvr+ILXk58oCfcCzjy+MgQhdP0i2fODPp9paeqF1yPvobrFLK7C7JPu+nRav85GVdbCg79e07yk9XRJQa1Ha9w/4mMnt0SP3f4HK1wQvKI0z33Tbk/U9VlcGlmxL+hU6ar8+nHqEt/xSWE3JC8X/iuaVrVT9Vl6vRhO79T/X1lnNg8mDZ7vFo/9RA+RF3cllrv9GULpQvI5uH7sks0sSLir9iNsu/qkDhtXxvZZ//i3S54e43/9pf09fBVeB39O/GZ7nKn0RQHFW+czxE/E8fwA3gy8Q9vJb7QHQqboDh5nd3Zu3JPyjh8GFRymZm1ys9eeUtrmLdVfHjSreOWKyuoeINn7zTtYz23lOz7ixoTg7jiE+RoM1jVYdOl536bV1kTfQKbTjwu++2NLm1vXpRxMs71qk3wj8oe8NZKmcu71uyjeCdxeD7g5oVlXup5WFf+kN297oxQcYW90D+IC3ADHof94CHgKzoM+LrL1yTWoquK3+Vez58O+B/8KR8/6m9fia9+BVkHveYpu8NHqY8hdvv1/wQr/g/+XV/x57XkUMlHznR+nnlE9RE3K0xuNE1+722VN9uXp0g7trR0c/sieUPB1YuRknetqv0oy6l8lHDP0sLSaq0W088UHAx4FyZm/jUzZs5+vWgUu1xGpE60dE2sMXGrTuis9+oOVNeLQwcXnh8Rpxcr57/Iv+sdKpIvzntTvVyYeBD887JmXmEixmPLvYZnwsSTlxtTh1mHizNzGg5bvCxc/PhX5wPBH8KLeea8TfMv16gq+9rtHcpurKp0NbNXl/+eXlPpTcRZ/8zWKw/9T9zDuy08076Ml7z7cVLzJ4nmSrcjXtBp0JkaFpavLkovBdfBI71JnWnPuyn9FB0SPtrMNGdlt34q/9E14GlczzU1fGSBs8qHYh3ja6PJF5uofoT8QX9EZ2S9Y63eTnBop3B3kunGW7etlb4E33oRe9PdXfI5+Br2I++oU7HR//hMkHU90WrhxXIm6j7g4Lig+My0qcp+p2UUPpf21SW43df7qv6BdcEz6MeOFpYDf5WfHOHp6B/eDu0+pcrrtbPMCJ+/QNbP3AFjd8h+oYtJoQekXx3f2A2XeG0wKz/HRq6rKB19NDE/YeZpT9kfBhYRM6Vvch79Hf3Fkad51/tI3v/ArtuHQ8OV/0a7BAe3lf1CXuFtf1V4iV/WpD0wXyL7H0vfK9kxOqWL0u8E+Ly/OTRIExENRpZc7q/8Av6yPvgE/i3Wib/pl7vTTtkmzFY6dMl769rdtVS6U7dge7czEt93BG+9+VdthXfUIeJyfcbMQa0aKb4ET0P3fyy97tlH4c+AoIuXt81Teh31H9z5xWXA0aiJql+Bp1DH6RuYY8BHwT/wEX0CvZ++h74XfQV+RB9G3tNXwD94DuwEjqMfokOP27QmIeN/dHfin3iEf6XFvnNsXE317fRtWzd1L7U41yDKX3TeGSj7ng/r7kUGL1d+R1fAnzWzZzsP8VM8w6rfUt8yForPEk+v5w72WuuneBl48HCC1ZHSMk6/Vmg97MYYZT/0c/o/4h27w//b2i4+0Wq44k0vQl6v6j9U/Z24xU7kA/fjPuUCF9Vq2E31GdThG2m/jKk7UuVtP5ft0/NXyj61YJHdiIOyHvV82sFPfq5X1MAYRK9THwvKZq0RT3rbPLzlEiE6Vfvy96dnoaJyyLG9K8voxTqH4KmJwTpR0aag2fOLss5YPFvk6qQXhapi94t64f3Y9uWU4FBh1qvGlIx6YSLQ+dGhub5hIrrB/MCAW2Gi8NN+h/Bivo3ux/yMPIefEtfwcXgq+cVzUj+dsjvPOzpa9dUlkw9MuuKtzicP4JHwIu4P/tOXMEfgvvQ/rPtiwpeWLQeoeRx8hb4d3rzHY1Kg10il03d3POydLNc7y3LVA4thCg/IF/IRPkPdgy/yf/IZHk2cPh1yrsWOSUrv474c4TfYtVwRUVU6En0RdWL/mRmbh05U8Ux/Mf3bfBV9A9xC74XvEM/wbb6HnkbcotuAJ/BK/ILd0dHQe7g+cxH4I3hFHoQEza0r3BQfhD+DH5IMe76br+IQPW5xdD2H/BnKfpkrdr7M+VnpsPAJ/Ej/fcHOI33xBLVO7MRn5h/0ZeQ/uMs8BTvwPfpj+n/qEnlD/wlf5z70UfBs/Ihui/34O3WQ/CHemAOhA3B/dF7WR1/FHIa+CT5D//STWc8eJ5bJ+Erqn7H3F6XHkYfUM3Q88hb/EncNoqLPvZ6u4hu/oIfTl8HjWTc8H70WnYR+EnvC84kjcBs/kP/oJuAc/SZ8B15Cv+6YVK2G5UyF6/AE6iZxkxZSaVbNscoOrI/61cL3YOV0WeeSBhxx/3efJrJunnN+cE/hW5F7P60Te672sF3febV4v2TB+dVm4WJW/sAppyV+22Tsy/5pnU4cL2jSfd5SnXjxpU/XGbk6kdOhEBj0on7+6ZI5n/ViQFHBDhX2Q9u2iK0eJszvHYpLnRVW7HfmF9ifeKHuUQ+JA/j37w4nx277H10CfMBf4DZ+L9YTv+no1GX4L3Mc+Ah8rMi8ddR59KHMTemb+T9zfHg3fTN6AfyO/ob+HF7H+o1xjDhmvgPPQ18B58B78g3eSr9AH8VzsS50KfyPHgE/epY9qM/IEirPqCP/Ol5uP/azQVQqM61c4w8GYZs9bFSwj+on9sfPja32ySAKn9Y0x1CMt/Tbscl/dfQtp4kg512DD5VT9+V50AmxL3WO+oregB5HP8ZzM9dYkaGXlV/p8PAl9EHsy3nEJX0ZfRy6GnyD++IPrs8+D/v4xlXu9FB1jDiHb1D/yGPinXrPfAi8gKejP9h5jV6ycI7irdQv6om7Tf5g8ZOqR9R7/Ie+xL4P8oz7gaesi/0F3J/nQ7+F/xC3c6LatEnurs7DP+QRfBTcJK/gX9gTPQ1dkOtvsdIOXjdTfQI4ib+OmDzcPNha9QfortQb5rpyUbu1Boq3o7OyXvyLbs78AfwMqpCetD5G+r3MpDcfVxnE5t09Sx+YtlbE3q9zu8UfEaKVYfwCd8cwERF+aH9MPb2IS6pyc/UEnaju/VPzp6t0wjz3zyuLzfTiZo9CYqoXL1fGVRSdQsV2WaU+HQot1qmZC1GviWP6IPQ94hg7E+f0B9R/8AY85Qj+sF8HPsH+E3gPduF88IM5HHoo+g9904r4QmBQOoTxHBX7o4cNdOu4N9ZW5RW4y/PMT3UPm2ir+Cj6jnF9Yb8K+Yv/iSf2CaFDws/pK9GPiUP2L6Arcn+O9MfgPTySuSHxjV/Rp0o7D/vN31XpSswDqBMdM/v/tLi14iHYDVyED9K/hmwakfm9yX91fXAXvYn5AfvbmONhX/KL/pp9CuDiR5OVWa9KSvwuVD3KqP0Y5Kf918z17Sur+ojf+35NSZwsv1e5U/+/Zpkr3XDs1MPvIr4aRNG2kkeG4nqDfo5OBb4YzyeoM+h/1EV4H304+0HAC+oG/IzroQOTJ/R1zJnRVfZU2PaqdJjEjyX+7XxOKL5WbtSprb/NjxKpYW+brXmzWpyNKVHrypZwkXVMd0nvFipyd50cPfYPnRiVnFLJylsndrqcMHdZqROFInp5K73oX+rGjYOJ+mIdCz7B52W2hR23qlvwi9cRnVpus1Hxxt/xb45rmfTsfINoFflofvfSSj9kXybxgf4KHhPf5BE8jDpOHwouYEfyDJynr6OfIU7JM3Cbvhc9iT4QvkAfzRFc2pm0ZF3tjipf8Df2wj4ciXf0PuIEXKJekIfoXNgdfGJOgr3hW1yXfKfusb7i/XbfeCvrgQfB18g7+mDsRz8G/zXmK9RrdETmI/AB7Endh5fTP9Mf4mfwCt6C/sR55CX9KXlDPR2foN9tI/u5B4/8Jg8Pkflc98qkHscNwjyv9Y7WtdeJzOBqp6J1kcLfd17ajKNhYs6VpD4pQXpxNWB8+RJ6nXha8HzmAx+dGJE1to3Ffl3xfBQ7zYy/OGJuPbX/l/2Z4MsQz8X9SxQoPZD93uhmxC+8AZ4NzjIHZw7NeezjRn+mXjCnwA7sG6LeoNej46LXoGvfj1u3s7yv0peZIzFnmpR1uOKluZIfXC3zvtVsxffgd/BN/EZ/CL9nPwBxxHrJA+Id/k0dgGcQb/RZzHfIC+zEdZm30BeiVxOv8B/yCF4JfwEnwGf6P3CJPOP//B3dCv6JH/EbR67HeeQd90c3Kd5v801Po59H96MPYO4EPpFH2B2efXXjmK9zZ6j5SwXLuqOrhkt+/yjStUmU5E9eTtqByfI+768vTsuPEj3urG55LGWNsHxyLXe5e4QoassqhIm4JT0dF5roxWJXp0UdZ+mK4xZ+hP3QEahv4DJ4AG8gfqiP4BX1GH7DZ+ao4A64RL3AfqwDfkk8oN+iZ5B/9MPUEXRHdCp0RPb/kG/oCPAD9hXgP/zAvgXqFddhrkzeotNyP/os/OcT3aXeeX9N5NZZ+o/9DNWf0Wfx/PBp4hO+C57BB6lf9CfoStiPOk8fzP5R+DLxS55Rf+Db6CTUXeIfv5L36ML8n+vhN3g1dkYnh5+j+/I96juf8Qv+BVfxH/ZiPx12BQ97mwVWGrZB1oFdU7MW7lZ4sm3x0lWWHaLEpTnxkZ8OrhbHrrxNzQgJF553uj9u5R76n/6Z+Y158LQGo6ZJXnNm1fKGsxSeooeif7C/Hjwnj9Bt4SfoXPgf+/B/+n2em3pJXHI9rs/56JXGeQ4uoyvST4Br6JnoluAV12Nd6E48P/tm+Uw9QYdkbkv+YBf4APhBfSAOiXP6d+Kb+1H/0HXhH/RB8DX6TOaOPDc4xz5PdA1wgLrPXAU/oUMR9/SV1HniGP2cfKQe0q/Dq+l/untusLtYQcbZ9sEvJ9dV/RH8nr4FHsE+d+oy9wfHWT/rQ5em3qILVYxK3nd0gSacPXI/ea5T875qeo8PTfYbhDSGaXb9deKm48HffTZFFuMDeAK+UE/xK3M24pS+Gh7J/hjWwbyaukYekY/4HR2COoQuj5/Q01kXfSvxhX2YX8C7eS5wFZwE58ibBokrIz9LPllEQ+ur9414H4374Bf8j84IfjHnpd7xmb4BXCYv4fnoEezvhGeDszWrepp52Sj9lP4B/2Mn6hxze/wGH0E3gT9Rz9mXg15O30Rc0x/Bu5nbo7NTlxpPrbzjg+SFdoG9fljZROko6FfUGfLZuK/ludA/iEfsxBGcBTfpa5j3ULfBK3gx9Yn8wb7U91snX7SbtFDpQoVs73lpQ7EOy74W9tUQv+i69LHEL3yK+AO36QPBE9ZDvMKriCPyCj5EvMO7iT/uAw8nTrEr++nQp4hH+Dh8H/uTb+h/PA92Y16DLsD1qD/gvHG/jC5FPsHTqYv4iTihbuF/7M3RuN+lToLv2I35LDyPOOF9Peod+Qivp37CG7EDOhX2hgeBM9gPXQHcwS74C32K/XLkWf2vZZaWqK3239HHjigSbtQ+f94DYL//nETLzymvDOJL8tBNPW4bRM8xhW9cGET1nJr+pzMN4qZf9cDrOQaxSNfE6Ugp9Z4B60Rn5vmIZ97npA6w/ww/GeMzf0evQ7cBr+A3+I88ZV4LnqNbk1/EB3bjfSOO1Ff4AroBfAG8gpfw3PiFfKE+GL+vBU8l7olj+mJwk/rPvr4mrw7kbK2ojrx3wf4n9gOir6Ofss+YfVTgL/rHBVexa5WFuk6uw+T47vXVfnPWTbyRv+CI8Xtd4C46AHZjHoq94HPYnX1z+B+dH57E35kTwW/4P/yIYyF786+l3teiTlGfuB7+5HnRfY11Uvod4pDnB8fwMziFveGbrIN4Il/Rxemn0TvhO/A79AH2ixjvw6d+UVfg1fTV8Abj9/bBbfpL+gL6NuoD+ERdIa/hyegazMN4b4rnwW/ULeLeeB6FzoY/4M/0Nez75v7EH/EAfpKPzBeIe/gQ+/XIN+ZQzEngLcw3mFewj5C84u/o5A9cG506KXG16HUlU5VfXA/dHF7Pe1LowMyHiH/6X3gp8QjvBGeY0/BeOfnE/JMj9iiMElMzhQPYh/jHTvA89H3WRR1mjsX6wWv0QvAO3Zi+kfe34fvs36EO0+ej71DHqcPUE+P9kbx/aDzHhF8Qb/AK4hGcg0+RV+wXpe6zPuPf+UBPou6jn1L36QOwI/yb9RnzC97TRT/kfU/ug525LjhCv4CuBm5Tj+nL0OHoj+D18FfwCPvwf+bN4CZxRd5SF4kP+CBxAz4SN/AV+ifwnHzBT9RH5of8rgXxy3q4D3yYvgF783/6dfwI3uF3eBy8Dj4IHsFD6MP/83sW3+KVuKT/Rkcm3uh7yHv0COoNPMS4XuB34pXnoC8CB9FT0LvAVY7Eo7H+g93BF+4HrmLHTlPfnGhRU+EHuEofR7zQB8Bj8S+4RT3mubkvOidzBnCe+OJ75DV1Dbyh/pA3vDdKP8s+OeorcU8e8334Jv5HD+V+8AH0euKGfZDoefQdnG+87wU74Xfigrhn3g2/h+cwD4RXoYczHyEf4C/0keQ7dZw6Sx+JHsa8xHg/M9eHZ/B+AHiFTol90T3AH/zM/jjqG3oW+Ij9qSsc8R88gPdzwDmuDy+m/3Gq2sD5XBXFz95Y3vMfYKZ0OPZZ8B4T+gY8DtwjL1k/722iX5DvfCYvOB/+wfwd3g5vBr/BX/IYvCV/i9/f+ZZX4AR4wPfJI+yEf8F51ouehv/Qa9G1eR+dOQx9MPHOnBG9Fz2F+smcBP2OOkkfB17S38MD0CuN58700ehW8AN4IvHKfhx4Df0M5zEHB8+ZN/FcxBu8gPk2fT64AV8Gf+HxfCZv6JvQs1kH+AVuMf/Ab+jS8HHiBHwmLtH9OKK7oduAY/Bq1mf8eyjwJ+INfCLuuB91gM/kC3UCnp1hsvN6UmWVh/AE8AE9B35lnN+slzpuvB+XOMbP8Ge+Dw5Sb+DL4On6+EJHqH6Y8+jv4SPgAv0lz09dop8Cj+Bt4L4xv8Ge4Dt4znVYN3MY8gfdg/mf8XuL8BrmFfR14Dn2Js6oB8Ql9QncwQ70jcwpwXn0SnCHeCMPqOPEK3o5uAqfo97CU+G15Bd9AjwLu9CPE4fs4/5h6vXboysqvQS/Ec+8h0w/x36ox8HfN574Qe2LgreiT4MrxCO4SzyST/Ay9BG+b3zETtRpdCnj9/zJHz5jR/gC/An9lvikvuBXdEnwgPqP//Cr8b4reLCxDsyR+/J/7IQ9jN/vpX7xfjC/J0hfwD5XrkffQL5wPv25sU5G3MJnyUf0QngZeQGO4A/8i45IXlOf2NdGvaGu8pz0+8QjuAM/wB/cB/xnnkldZP30D9gHO/L8NQppjan6/SR0XvRF4/4JfY5+ibrCvAAchveCD+AMuiZxTDzBa7EDfmTd4Ai6EHmO/sGRegluwofwE3UVvsr94ZPM59jPWGBj0ehh1f/qQ+AGPBC+xvrBd/pZcJE6QXwa973kBecRV/TN3B99hv2v6L7gF/unyRPquvF+D/o61kE94X78nz7N+Aju0K+j96OPEifEOdfnealn2J34Z78qzwsvhi/wd+yP3mX8Pi/xfD7q6NowM6W3cT/ynjzhOvyffhV/g8/kHzgAzqETEG/0J+QB+ip/R/+Cr6HbksfGv6NDv4mey/4/9rWgEzH3MH5PChyCZ1PXyRf4EHFCH0ZfCm+G18NzqavG+0nBW3CGeRO4Sz+F/g8+Ge9TJi/IQ967vpE9w7ZZJcVfiRtwgvgDd6hjxDe8CT5Af4beDO7iX/yAf8A7+A38BL5g/Ltf8BpjPZvfCSR+iXPe54f/8vzEJ793l+r4ok6rcsouxvN08gX8BhfRA8lX8pG+GP9jf84H77ErdQ57gm/gIf6lnsD3ed+A+sP6m3v+XjPKUvW78C7wBfwCt6kn8Cael7iGz8B7iBP8BJ5R79HN8Bt8GN5K/aCv5Lnph7g/dQH8Ba/ov+FP8G7ynSN8CNyEn4BLxnhHHBFXzDHxJ/jKXA0+xb5BvsfzsA76CngNugD9APzI+D1p/o7uydyJPh67Ym94Mf6Ar5Kf6JK8VwCv5fd0+UwcYX/wAHvCqzifPOJ3iKrNnN2idgn1mTqL3kMcY3/qE3zWWH+BxxjP4YkHdDvqNf4ED4lX+CxxS39EHJJ34Bb9KX0B9Q2cYh3EBX0Tep1xf40eiK5grJtyvvF8B54IL6Ufxy/UVZ6LORQ8gfxl/oQuZsyXwTv0Mt77w77M75zPRrudqq7yBTtxP/gQcU8/Qh5iX+IcHQo8pO6Q58bvg4CL3JffTySO0Q3gJzwfv2NE/BHf8C9jvoKdiUdwEv5C/FD3uB7Px3wEO3Mf6hLxz/sQ/A4RvJl5J+9NbJdW9/9iEOe802/0yFbH3kU/JGIQkbpyI17KPpr3gfl9SvAKvKcOEb/G+ynIN+zHHJZ6Ag8ED8B5vg/vpe5hF/yETsx7yXMzc45ZVVR4wfOwfvbXgEv8fjj7N+g3yHt4EnYmfsADjjw/fuJ54BngAXEKT0GvZA7BPjDmiryfBo+E/2B/+DJ1Dp4GbmNP/s4R3mPcP8A/eE6uz3NxHt9nHeh2zGXY/8CRPhQ8Qqdg3oluhL3gWeA29ZY8oe5xX/AOfRs9nM/8nge/H8e81vj3GKh7xBv1EL2T5wYvyWvyGP7A+fQlzLupy+gzxr9XjR5hvF/u/wALxLraAQAAAACAAADwYgAADysAAA==eJxlnHW8VcXXxqVBpJEU6S5JCWEA6e5GuhtppRtEOgQRpEOQUpAQpe6layOtxAYpQRDpeNfs2V/X73Nf/jkfzj1n7z0zaz3Ps541c07H65Sp20DP9Dviz+/ewzPjuk8qmLad/D/9cC9bTc+MaXn7zxoVPLO78Dvpk9TzzMwaP+3e3twzv12t99YXHT1z9dasje/09szTXgd6r+irr5VuTDOp5LrpinUs37mnZ3om6DarlXzu5KrcC68P8szQvrcPdpTXh+trd503wDPjH104M+JTz2z6zL7jmdLmi8Tvd/fM1OTTWr8r31/14q2lRXvr+99dnXw48zDPzLm6euP9iZ7J3mFnqoMTPLMwequPRo31zOjtm/pfGOOZ2pPn9Eg6Su+b703GV4/7eebVB+UGbpbreSNTDonV2TOPJnxUZVsHz3xf7mCt1UM8c6zK/bQtP/PM5ugfN9wy2DPJtvb7sJZ8b2+5tZ1/l+9dOtml8sW2vsnzYPjGnI18M2zp+HfWDPTN/LSnks2W18ktFg/u2so3r85NkRH4Rr4ceaSXb5LfTDZoel/fPH8Y/e6Ser7JtnpL7B+r+ub8gcs5BvXzzetWl396Ip9761rqwo9q+eba7hFT88h1/mnyTZwBHf1w/n1zr9ynCyo29c1Pk2P/naKybzLeLv3Wqhq+MdOyVzlT3TcPP5v/+m4l3/y+pmG2l3V9c7D+ryuX1vRNmufZtzau45tc08rnX9LYNzE/ffR0p3wvz7yjNWPL52ctrP+i70e+KX5incyEbzKluVT2bnV9v8744R+vlOtdvvCoo5HXFF1q/POljOPO1aJpfmnmm9Xe3REN5Xkzf5v3z7rynI3f/PlBy098E61Ll3NNW8pzFNy7IV8P3xyOv35KzRa+2dNudav6cp0k0cbVXtbBN/cP7JEZ9s2NTD8n2yTf2zWycNsTMl9V7XLI3xNWndv5hcx3oRQ1OmYf5Zs5k57WPDxYn7NW46vR2svzjLJf6++b/q9GXlrf3Texc137o6M8T5H7xSpU6uOb/HV2FlnfwDeDvm/61d/VfLMpZ6OBcyb55tGH3yaONk7GN7pczPfK6ecmx49TbuNw3xRNf2bsxN6+WdcuomIGeb7WtUq+LNLEN9P72gTyzTefJZrz3gDfBMOX713Ye+BVwgq+qfjjP688iYvph4ZV3jXENyfT7T2avISMY+L12Q0/9k0wTcN1PM2n7P43hzxvs5ZZNl+X121d4z1bJOt/ZPpbRX7o5ptJr9o/8SWuumX7o9unEoc9xqb9+5n8/9ydS+nvy31zyCqPknk8MchGom8GF11TupGsT+aqn43KL/N0NHWd82k/13hbMXvtvxVkvOmativ5h6z72xYW5HvbH9rA882qGl9fvF/bN+m3Lfq5vcTRPjusEb7JcL9B7mRDfdMq8nbDY1V0vOP2lppdWtbN5Z1vmp49lXBYDY2HvMdGSYb6Zsn0EtFqjPbNgLwZ0z/qpve71utGo09lPqodeb9TrLEy7lsb556V551X7s8i/Sf4Jm3+S1liy/13d/510s8jfbP/2fza4+XzLv99s3NV5TEbxvjmh4JX5jyX+7cZ/Xena+PlPhfG3Cgx2TcJen836UIn39hvF5b5a7Um5qQ9X/lmxEYbCL7p031lqj97+ubjNzFT5u7imwZLd58tN1X+L1Exa56s+/K/WjaR+XW4JHn0ptmBL+W6s5s1TTDhM9/8eCFf4TPy9y6Py+T+oJ1vqi9/u2JWyW+HOzJvZR+0PSzxv6ZZqew75T6Zak1f95WMb9r8K7E/l/lsP3nw+IoyD3em2jdkHBNmvEg30TdVHhWUiPHNsq524X2TO9UsL56MI1iGVRJHB6vOqHtc4nzu2CuZ2/ghrsq69il0cfgx33y3b8VbqeTVzm6rL31zK2Gbjm8v8E2lA2s+fSfSNxPiWISR+yyeUyfPFt8UPBDZ5Owp3ww5vqnJvz/JdT9b9G6qjb5p0qNzkSz3BL963enxzW3fRH5y//XA733zOHOFdo33yfoX2jUvRszr5tC3FSTyffNpvn0N2v/hm2Da37puVo3r1DfOBt8sfbn0/Ipr18zQInHi3rjpmy0VvkpQ8IBvul/1h45bfNXcuPlAkOyyqVPg6B+jJT5PN4vRLGvja6bLi0YN58383az5c+mTyd9fMKnidS8+5+oVMz7J7iWTM1829YMBnzO1Vw8p8X6hs+aDb8rKUl4yk+qnaha3z3nz9oIzZ7OujjDyx9qp3+w3Zdu/fPFF/IjwexGmXvMGj1skiTQBzCyJNCNX2oU+YJb0q1+krHfAXE5ske6gkST89rfCh0ydmpvXTH14yCxcvzfGweWHzdhSf/19pt0Rk/rPnuUyRj9qgjD+7qhpfqNvk+rdPDOsxm8rx3XyzLrtg1Z/LLwbY2D8LDmGemF8eybJHxOa5Bceu5gz3XdvhBfTns3169VeXhhXnulbcebj2C09s7ZwzliXPvFC3PXMvrRfVXrdSv+f5cShHLObeSE+CB/+UXDFoTae+eBsggsp2nvml2Y2Ej1TLUhsz8wtXPHOyi5eGP9emJeeeed2M3lyeX/Xx3UW1fLM2e2WWjxzc+Tz2cVbeCG+e+ZAdBsR8r6FM+HRYJlGeqb82AY7pgn/Xj+e6cIzGecXEgU9RygPOxxTfeF4zzOLN3/4dLfokZFrk+ZJKHojzoZCY46KPohV50m0yoK37nq+uR2v2keLBD++n9l+fFvJq5vjbCAIvpe0COGH4/PD5xM8rfJO9NyC88Nzn9uQRHCh+qsdghi+KVMjb7M78vnO6RrUSCz5mirjR+eLSR59k7PvJ20FFx7kS/lgwVzhF2GVOh2U19OVGtrz1ELBpQSX805dpO+3+W3St19LfvaLPi9u2m8k/4qX+aDSFD9cN+H9tJ+3Lih4XScQBr759+cHP3SU/F71+NbAw2V8U/PEtOavhR82r1+R7vU8vf/XKXbczC28f6zr3aSnBddjHNs5rprkc7RUxxZ9O8z/T584XSPXFbYuL7jYun7d7IsEPwt3urnwsoyrYLGqnyyQz535pWG8FDIfdf869WCu4OoGG8bCOyMbWmSX10nvCqT45suSy0b9O0z5IIANGcfKupviNJXv5epZqVhe4bnBgQBS/Om+Nn/S88K7m04uTd5X8HFHpqd/VBX8d/pL+NQu71B9fheHvhkaCEjf/HE5/oxVgvOn/+yS+/Ecxe2OiaxC801tv8rJIjNkHetbpekbG1V7RR99MKLZgH/qy7xPfTiji6xPxJlvmiRdpLxdTKJrteiVxxXKNTu6THi3j8040XMBkPmmpYU1uU6jZht23ZX1W7boQrU0S0QPbK7/+5eyvh8uzy4SUPA+sb9otPDH/toWCHwz5k6dre9LPJl0U1Kv/MI3+Rp6rdLI/LVrcbFiDJkfETNVhst6Jit/KU6GH4QXbZpIXC54ZANA+CFL/Lm/rBUduL+QrJQf6nPRFfb2EpcxAuDVeEA/lTvWQaZIebL1q4V7Phf+629hS3SHkECizMK3Zv/FH0YLr/yy0S6IxkfJYGC+KbswcsZSWT8R/ZkmyPp+vTjzTy8lPvoFgKt5scjKQrnvJ4/eXZpa8iaQl6LLso/flqiMPMfv0eNNTN9WeS0Y7gTl14ZD1v3YRtbbjna7PGfFlmXnbZB8idNybvV3Zd6azTyXYcYXqu9qR7NI7of4oXw/afmmGb+Krq037e228cv65qvts6cmEv3yrMoPtSLk/h0KbHi2tahvFg+zkSxxLqtzRz7/3MoGuV6pt88s6VXKN21zZD/fQPKq7/0r06+Jzrn02VZ/q+hJKXaOHzcSv0cm34onerFV/1rvp+iicTt0/5gYGSWeApisrvk6w8o1WcfrD9Of7Cn6N6LahxPKSryJqPggwR7RRZUaSAjoc8LnO68lT3fguuTdezM/OPVY5y+QPRLfuQMivm4CWk903WRpU1WgXub1dbbkmS775qMn7+crLvycf2yfxS0kDq9bmrov4/+6U6OMct1h4xaXWRh5ygRpme+ESfj0pSDxYfOtqLs5+yJN0xEZRZpEmFuVbcW034ydMj7ntPIRZlCZczNz74gwaXNZxRVpiq5vMHLflUgzfIgt6A6YS3O/sQwY8vNBY9lrbv5DZkXzKy3yXT0UzsthY6Mnb+kjof7xjFVNeYQvCt5Yl9WXei3LsA/+vij1V/QH24b+2kN58nCbNv/0lvrPzlKmblofOn3lmTOdly572F/ruKoVj+7+Rv7/d20LsMo7RSy8jFSesqyzd4Beh+9xH7cunnk7Sa+4DYQfA3ru4/33/PAez+l0o2dernpwsobw7Y6+M1LFFL68WrLAnX21PWOz9l95/89VCX9KLZ9vWXHDxZNdlN+XlBy/IGdfrZN5/v2Lb91tJzrA1SGesU/5VPhQxIFIOtUJe+88j7Vd6gHHm1pfjk5QSyhS8NTKAMnfEt9vqFZf8nCpf7p4bNGphy4kqRnf8lIfK9hEzy8+HPsreT9PZVtxKa+cKzd1VFLJ+3cC4Sd1UWSWzB3lflOKftl4ktQPTrcIfwVAqvUHuP5NlhaFnsn3A1r8ROtc6lLef9cubzuth8CjmjnK/5JRcL15scTTY0m+NQ0CXXDsp/MTX7XXfHN6S+sk9IGbLz+ML8VddLibZz/0J1S/V05hGUXrl2r9u8W8Ku8fnND/3bqSn1I8TZ7TQ+vF8dUsY/qm/v5dx7bK9RLlmN9nzADlAxdnvsn6/dECGYQXl8/fm2G98OTDOJbRffO5LeMnKu7Hv99HpKHMs50O0RHnBlT4e5fgQUTOElJayuf/+iprNJnfFYPsO/p56jF0TtPtf5X7VHR/m2CBfXP3l+JSGor+zzI49T65/xI7/Jmi74NAU77LFgg90U+2DJyjvLi+1KYsZWqoL/Bm1qxsy4RncwYFkaz/H0/PF6qmPoR1VWr+T31JXV82mGBZl8q2AhBcTnTv6PnuGp8PclpGVF8lbgBUfqhzpf4PFljr8+Cyog8aBYaOxn+s5+UlBDW+8B02Pvo2/m25zpbNaZI+kThslX7BtodNlFfJG/SDw0Wpfz47fXB0S63Do++IlTS58MXHFoakzl/fp9O0vz7X+l+KJFHqoqesfSM6qlaLZ3mOSZyUy5a6eHxZB6uiTsh85F/Z86tT8ry1YtsKTXgs+Kf1YXs/z93OEidOh/umwtm/H1WV5wpk7GiNK+arTodR1Qv20bigjkSPMn/tAsNE6sRBvQb8JvG8OL5lNtGTl+99d8nGa+P3jr7sonlQ2JZ7n2qc7/2q5ZFootcEHCUkdd7PJH1Y9pg8/5ziLVIkmy/4VHzwy9+XS54ssALbNyfrWsUueVh/1bkYwpsDOv71Y/wjojesLJTriUiVylLi1cLbBc/ssbAR/bSZ3OanZaenSl2zPXui+D+cNKeszKxyzOyxsN7moLl0u/itIdciTFAGpowwwfQljgj1ZUTITxHh80eapfUalT70T6S51coKqAOm7I51LdenPWjSFH5Uq9eGgyb/87dPflHhkElcpkuy7E8OmWQBMQh+5z3YbWoVqXekSvLlNXHm0ZXSVpK6R9RbdambZmezCtIzg2IneJVM6hwX91qnHSlpFb8X+oqeOZbcIrTUSdbGquOF8eKF/qBnOlnZJvc9Ycsg4Y9G2V7WNT31FV83s5Xb3dQ/LWBpT/jFurz3hPf+TTz5XgbhO4c/6rdSB+LjuvpZ+arU1pJdt0j9d/LFflHWXugDemH+SP2XyTphXuhP6vN2DgBWfeRADjf1zEeWHmt6xrfyx3gmjSu4TeoAYJk/wafYpz74vLzy1Ost09OlFT3Yu9g/a4pL3TTmx6+r9W6gOFi/b5Y5b0SX956yLFELybdtyRvNGiL5JSKs0l7BuULdrXMi+BgYiH6oM0RXF/1oZ12px4LH/1p07oK2ZR4P1ld0Ov7HhRXXCsQQPD72pN61ZRLfQbgsludLWGFE6Wm+6XToJ7mz4GRHy1yiK3uOiLlPcPxQx0HvXxQ8DmhhivqbkhzmhXwvQ8W4Qq1aXwTlv+j+FZne3Z9C8iLp+DP/xpc8vD7UCjupqxJah0HxkjqxgZXrgssW5autkXFZW014te2wc6UGCd5NmnAk4odvpf6ztCfjnXtpxrgxgvfOJ9DnQ0+49VXf2fnlvvnny3oy41KvxbSFuuDe7IOiLAT/7ddkHAeaWEPQN71axjmaWnR47oCQ/dB31zppRLbdY1fI+8638EOd5oe+v29SpNq47fSnij8nGk3tkEfwoXdQiCv/gzuHy1ijR3hmyKGv801SneL6AuoXuj6GH+pRiaeZ1gDXerl4DusAyviC/onUOdYOGKV1b7LWe07lljjKGVTyvskhqLR8kPILdQX649mijptuf6rzBL/gH+JDp5x3p/DJuto/IP6Jx+/Wnm3ZX/RXYP9VFb5Ifijv2rFat23r8PBI0Q9F/6y1QtU3yf/KtfTlUt/0TDrql4Pfqq8gSV57t6znO/33/FhB8PvxvSlPVkvcDhy2o9Ha6uoz9w4MId+cGpdPmEr4NBCUUn8lsM6hXO/Z6fcySJwGYTNe50/I0BQRvgnaDxIHrk8j+SMotkPmWQbzJMLy1jhrIKgOKxG73fcD5POp35QWySh5YNOiseoD8uHBmXYC8TLu/vaOfqiT/f/qDEmCgq/lNXlQCHsmKJdmeiaXtXlWeqEf6pnTpW0B75mdb7246c06ZXqeWviqcpITIf8eNpLUEviR5qOAwCKMkJ4w2n4zMXL9xA8LRpjATp8cYdqIynj/WUQYt5Gmfb11f+dLeSD0Mw4Y260oWOygKVXFrtBBk+jEzYRt/qe/Rv+M/tVb04a+KCE6f/v8FSX8Dl6ox70wTtVnY5zUO3kDQeeFdbXUNyN75O/8hfbTArrtp/WL00V6f/CfuiSwWT7Xuon6hzqEuoV+XGDHjPNMIFPkOZxu9sziNl/viid/HyajOjpe+3bWhUs/XHmKepBxphp4r1TzPloHNhlb7Ld9wm+ub+SFPoCMx7btJsp4rJ3zlWemZyooQ/ZCn0HvWyHB8tZP5TXelRP7k3RVf8P5xeojURfBE7EDQaDx/Px4rH/zSj4HND5Q/Q1wi74Jeod4Rm/zPddHJW79cL4VT2a+SDcxurzv1kX7Ofhov8QbE7eY6MCi/SfcXjtC+yLUMeCVywPfNF5b/emyoerr4a+5+RKcqRYZp5TwmtMLgse9LAPKeG3aztA+y9Je1lHxTcb+y48Pku99MdoSsuK6i0fRkbFHzPp4kvpS9It4bvof1GWBnSbj2mrpfqD2UwaMPjUy5f/4W/Tp6APCS6vt5XtpXUwfjX7YGlmdy8NUZ1Mn4tsyf6xvAM/9lM94/hbd973e+Jn2j+jr9bDtdeH9NDKKhfJ8vQPjSfswV9+3TrXqGRePwkfLhv5eX3B6wXBLiOpbuzxU/831DbSemR1z5ar2sr6bm9jKWPh6XVy5tP9ffLMu+OFBmTxY/evPkq+rdGWw6vwtgg5p5LquH+6bzn2tI6/1fKfghhpH4DZ1roCdKArtezmc03oTvUP/eIZdZqlrvv2pZua8wj8JgwKFPpsX8r/297feOjZ06Xjtn7jn80yyDudfz5rlmcs/J/y60GLRv4FBLDo9pbfl8C31U+5lnXyixOqTYbwdM+luHIq/fspBM6S5dbwijFe52vW/4kYYucjmD5/uN+NSnDv6pF6ECWTr5gjz5/5Ho7O+Hxnqj0hTRaIlQ5wDxnbJps4/8N99XP9CdbaLF31NGRibXhgHqufBffZNsM8CvAW3XV6rb2Xd5fyC446XvVD/ah9n6eTMIsU982FA6J7ZO7Py4jl19HP0h1zf1At9Hf170A6tq/qe+6DrqXOob5zPpD4Yzw+/8H/4Z31aW1l5oc7zTK+ZO0pECC8430PxHn/uB2tXyH2dP6R1FONy/QHPzLFtb6lXyAP694HN+j++MD46fsw8W94WF122pHGPzkV8EzH87r/3pmg98cDSWzHfdA0EuG/yWNgZoHgiybz7bDnfdBs4eFmej/W+4LbzCX0TtI8a6b6FwB7rofspUvz6puHGtupPuPnWvobrB0reD7LOuOp8/ABw4ur0azVvyedunvvuefPuut/Ay90+9VX5fNICWafflLx2ekN9wNpFr799v4/6/CWCBr8836/vlRraU3nMVhsZZX6d3vDDfqf2g1y8+yHfa38osIHGaZ8C/yHRb2+KH56j9Qr8BZ8IGC7fNEPx81DiiG1bJ+v6pd+1RZBC6g1rK0xSvMVPoT5Al64eWafKAnmuxI2Lb46U+wftJhmf82+1PnB6Tfh97pKI+911HvBLwMc71o7oqjz097PWwpzqJ7Jeru5VXxB+D7bDVBEdEGxEwNcUvbX4+wxHpO7OXiDud+9JfD+xbcT/6es6H0/7ukmCRrHgoW2P1FdfgvqefMM3B0ef2vJW8DOYrl2esV33366eCvX7CVMnaGweCfspB8L1jzD1ra1yeb9p2P6Pd399sz/so0aYMuOeSUUTYWbs75SuQY1IU2p+g4Vr1kb+55+7vpD2sV0ce2Edpf3wN/Gss+qF8eqZK21sBChe4Z+DL8WHWedGcRX8aZO3dKxfBFedDvHC/Seqvx3/6+fRx+wjc+PwTJUkqRs+qOiFdZNn/tpuA1t0rf1abS/so3rhfied/2XWvmrrmYYyC2dlXC6vvNCv1PFMmVxmxzp53+lR5ZWo/OL2A+nzgafUF3a3wmTRyV29jwtvG6X63PG/Z4JtXn2178H+hTTBQutz8frehhSS0Yr3o8a+lpXxTd2A8DW+6ffRv/+8fPUJWQbr/pgEwYY1/XyvH38qUKq19o3xLcFFmx0Hemv9+p7djldG9SP6D9xtvLKIPKL2D9jfxj6pPikeb97TUver0d8Y8FuP7cebKy6uHWsNdt9c2Xy5QsuyouuCDTbqx27bubRA00rqS+3fe+PaecH3JrIqqeR7WQNDxjc2W55JXpsS/a5v+kj0prVPs0p9XaONQI8X+ufqnzkc0nrI8Yzup3T9CNUFDod0v8VEC5+SX24/oRfyhva1XJ2r/S3yZEsbm4C6X+XWlu9j/Cl11K321nAQvLDt+RNeWId75raVZe+cCvPguKk3O+OX/XofCuM80gTtnpwRpqeVSVf2m5hTz+898Gq/sU+Vq2eEsaje7c+I//xF54+r3+j2yamfiL44Pn+iZKgX8pO+7/q0ohcubhNG80y6GBvPbDde6B964b5M3QeLLsKHZH8KOOr6pzpf1KHgAutCnlFn40e4faOeiX220op1n6sPCw5T9zo/Setu9A91NPuIwKXKu4akK9ZR9R/rzXyhf5gn8IR9QcRJmaDQVr6oZ3rmqtta+cX1zxSXnO+u843e4rr40ehJ9uESp67/oM+Dzmyxq9WH3Zqp38G+IubP+ZKqf8E75zupP0G/N16x0bmKiN52esAL9Zf6D+hxty/GC/e/eKFeU38Bn8L5T/o58tLV6Zo38Gkeb96NdCtEr9ptTqs9M/Ra12N54kn8RSw4+evzEyFPHTVHGhdesOCdgyaaoHmfXREmTcqEo9tFizD5pi56WuDGfnOnoXVOI8L+qM5T14VfRrwjvB4jaLh55ucadoE8k2lPrt8jP/LM3cLWgfBCP1D3ezt/Tusi1xdRnc2+LfwX+uR8jn3czn9WvqBPEXUe4BuZJIFqL/Rx1a9xvrZnLgqqVZzpmTMp7YY/L9xP4Jn4FbP2iy6v8w98eOHiXM+MvBoxd/tsL9R7XrhfVfd1twqMOq0P8bPYD0Ac8bzkAfHu+n26Xw2dgR9HP4S6h7xgnriu2xel88zf3X4QL9zHqXnkdKXOM3yM/0X+gEuOVxW/eZ99FOyrYx1ZN6vqssmr6yfr58g79JPzZzQP3P45L6znvdAvUXxER7CPnjxi3t2+X5nvwKAUvRUQq4z/59wj3wivFErbbvq0TaL3hDU2fym43sQ2sk+Zbbbt/+R46FMdNqczfrgnwdPI0D+IMLPvno27987+/+6LPgJn8RHgNztLDYcoHvA+8UNfjHqT/ZSsF/8Hx9jnAS4xH8wfzxH1fILbt6X5AZ6g3/i88x1lna3tPEX9zsBuGaP5Rh+P/SLwEP4J6+D6GcpXXAe/nHyy7HVzpN7P1Vm6fgODDZCiZ6vkvPlY8trVZ15Y1+k+H+oM4pP9pOAZfUb2r6JjnL+n8wfP4zuwf5RzLcQv+3DhH/Q2PEm9RD6xrjwX1yE/uB55TH6gw+Br+q/s8+F78Dv/Z11YX+o2fCDmy+3n1HkFD230rvtR8iyrJRLFkwVj7Mbkk+ZWNlsgHg/17qEQ1yLN3ZR3x3aX6wTbw2T9hgcbPz1jXcQh0+S5AqJVX4r8XhNv8b0YUyUuD6T5N/FkjVfyyPVtVKfAq8T/hsW2oat/Z98z44Z/g234o/R6XJ/Pc16HPAfnwGV3DkTjiPfpXzjfUvOT66Gr8J3cvk8vPC+i8wGf4EM2sbQtOOX24em8oAeIL/iBOOT5dr64trNLe8V57gf/cf4J/YG+Qa9RZ7q+o/pt1L1un6fumwMH0K3EG+sETxD31JXwPHHs/HPNR/xAd15I+/wZ2t5rWq604GWuVcmOl5d8qTggcUn5u+sLq74n3wMYkPt8kTdm8RytVddxf+KAPOT53P4TxQn6PLPj7fKOzZfnvG4LcO332ew+//qUub61npTeJ0J//eh/+MB6UYcRZ+h5+mzEKXW16/N44fkB7Ts5v9gzAYxKvLhzKprXrDs+BDzk/ChdJ/qG4B6+EM8Lz+FfoLsZF/UG+Ob6X5o3QXkoerJG0JAQXmhjDR71W7kP68L6sw48J+cE2XfC/6kbwGXO3bn+mRfuj1KeQmeDs/Zu95rqPkvqB9af+4Mb8Bz5iB7BN6FOYZ3Zl4NfTv1EXFMfobtd3159dubpa7sdqLHqRHwU/Ct4hnyOWtcyLnwj+A0dy3yBs+AmdY3r94h+seE/UfEKXQw/sW7ML/x+0Mrsb3SfqjvfdspcqG0P6njGf1L01TnRIW5fjcYv600dyz5b/AbyHH1G/wI8ceeuNF7RVVyXvEIPEe/oavQPcY4OJ07R9ZxroW4hHolP9D7zT75ZV2JqBx0P80b9jy/A9eAfcD5qvYzuIZ/AX/Q/68Q+L3iLOEAf8Ur+sD8AngTf2QfAfgF0HvousF9HK99xPfaTwZ/wJvOAT8V8o/PAGeYPXwHcYV6IC/KD/XLkmduPrvvvqGPPFLaNEy88Z+mF5wC8sK8jeWa35+f3wr6dZ4JpzSD6scDMZH/l8swv2SxyS1wc6RWjtPHCcwb6nPTFGB94DB/DA27/meYzfi34zPv4dfg21HXwGn4F9Rb5Cp7jW7PvAp7G13PnjbzwfKryK3oB3wAfGh1N/RvV9wGH4Ieo57XQqcQ913Hn+NS/75KqdKblwv9uX5/ozK3RFqavqK/u3IVcL9iQ54XnN9RfD+xi+bvbZyzzmeDday9rKP7ifxze/Cp37hp6nbHCspvrax6Tj+AD+QuOkHf0I8BdfAB0Fv1QdAp6jvlnXyTrj88PH/A++/vRN/ydvgE6KcKGr/x/4ZHVx04LzwTtlYbKT1wP/qGuok+E/4f+pN4hDhk/fWf4EJzCJ0Vv8hzcnzhzvrj2Ydw5JNU74C3+JT4d+IlOZx8RPIauBv/QDbxST6/ou/71sdbaT8Ef5O/oA+o0eAWeQiezn4l+GH4E4+GcIrwFfnN/4gafjfjDp0GfuH3fen/qSuIB/CQf6b8T9+ghzp+gU/C3YwUHsFW3cL4T3Ay2R1XVvOJ9fPLAJRJcDbYPVtD84nrsW0bXsy8YH5i8If7RW+hS4hHdCU4FskLyx50r19+n4Pr0QZkPz9v4w8+VFQeYH+KfeSKu8fd5rmAbUwv6WPr84LU7n6F4h+6innXnt1XvS7CszjZefWfqffwd4hgefi84MKg6Gd+EOhR/iroOfYFOQVcQj+Az+o684vcz8GV5PuKO++Mnwfv8H96nDqAPiP7m+XoUHr6lzEi9jzunq6/uXL/yGPqG64Ij6DF8NXAbPqYuw4ejPiLO0K/gEfODb0q+woPEF3kLn6HTOI9N3ICPxA16hfoJPHfnVHSd4EfXP/TC37XQ/h84zn3Qw+hX5pu/4zOwjtTHrDs6Dr0X9fwduIgvjM7gnN3p8HdkiHv8A/xk4o26h74wvAjfRNUhrDN9ZeKVvjV1Ef1+xonfBa7ySl7jg/BcMQ8ub36lhd6fOANXmcf3gwaF4gq4yjqyP4E6AHwGD8Et+Jhxo594Du4LzoM/fI+8hrfYD0f/kLwBf6hn8XfgV+IeX57vozfBN/KKeoG/u30xWg9QV+DnuX08qh/QM8w788S8ExfEve0CHa2p+h6dQz+Q+CFf6Y+QD9yH/Gec8Dh+DXUkfhi6O+p+Zq7PvjvOq4JX+JTME/FKf5Rx4odRd/K7DeAj80sfilfq+qj7V8A55g9dzPmjYFtaZT0/1Obp+LlJq6gP585dev+dY0KXoyPBPeoudy5Of2cC/4J85//kBZ/num5/hep2dDNxBj6Tx+At+cv6g5vgBHhAPJBHUf1OcJ7nxU9j/eh34MuxTxydSR1MvNNndOd0lOfhT/ok+HfwJPUbeEl9T5+V/mDUvjN1NL4V+oD6k/igzkTXUM/wOfQ1eE6/CR+AeHPnSJS3qfPhf/Qy/TB0PP8nb3gfHxZdC36BW+gh+mzUu+hx4gR/gLjE9+MV3w2dQF+HeYjav0PXoZ/QL9TDxB33gwf4P3WP/TWppzVVZwfH/f8nD9EJ7G+lz4G+iprf1AHU81H34xLHjAP9zPep4+An6k/wtOfZH3NsKqv1MLxEfY8ewfcEF9DR8BL1s/s9LNVt4H5UfcN8UjeC59RlPDf5Qv64ferqa5En8By6xp13Vf0CnjPf6Hb4gD4LvAHuMA/4svhX8Ch+JbjFvkXiHR4nXtFv4Cr6Er2FTo36e3j0A9FnzAu+C3GIL7Bouf1hL/VLWDd4yJ1D1nqO/VB219uMIqJ7HlQUplPdCk+hx9Bb8BvxCO6iy9hvhH8X9ZV5wu+FD9iXCl+QP/yfeUQvoMMzBQc9NT7JX+ITXxI8IC5YP9aVehy/mjhifakP0GP4xuAN88R8RD3fC3+5c3ue+cce62uk+oB9ruQjdQP5wuepz6P6ZNQD6Fn0HP1/dBnjJ95YD/AGn5m8hp/wZdDj8CrjdL+LovvnqNPRB6wHcUQdiX8KLzKP1A/MD/HM+J+UTB7reXnJ72ELe18poz4v/iL1P/mGn0m9BK+AV/h96Lmo56PxNYlj4gn8Yh5YR54bHMEXon6l/0+/Ap8R3OTzrBO8il7l/uQp/Tl8nOCYYdX/7w+BG/gm6DWeH3ynngUX4RPygTqJ+SUviF/6t9TN3H/+jXQrblbWc/P5rI1fUfGL/dOco4fXo+73oK7jOdjvyP34O89N/vKKT0le4vfjjxInxDnX5/7kI/NO/LMPjPHye2rEL9dHh+N3gQvuPK/Uh/bnByWec7xtI0z9O+5H3pMnQXuvvtap+BCsN/Up+QcOEE/Ul9T9+EzkAf4q7+N/odfwi8lj8J37UW/i47L/j99zxf+i7xH1nFTU867kK/mC7mXd4SnqUnQz58XQuex7p+4i31hfcGaIZMG2Koq71FP4/+A8fAYvkRfk4XALVxL/wc+yVNR6l7gh74k/cBgewycFd9AD1Gf4zdwXHmMdWB/mD32DPkEvkDf059A1Uf1s9/ux6ieji915ftW/jJ/4tV2bHDKvqT62V9B5QXdGxS3wmzoR3qXvwHrhr+ADMA98HrwFz6mnmU/wDTxkfeETfKHgZ0CFd/Z3t4WSPj/9qLjBD/Wp7gJfwA/6ReA3/jjjxR8intA9xAnrBJ6hv/EhWDf64OhWdA51JeOmHuL+8AL4C15Rf6Of0N3kO6/wODofXQ0+ES/gHXFEXNHHZD3BV/qZ4Db9Lb7HeHgO6gr0Db4A9QD6iP388DN9Vvaf4JeDd8xrVN+H9eCcBfnJc7rfTdLzivAgOpc4Yv7hM+p7dBWfJ49Krp6X4XZpyeenXTdWLKX/j982ftmEVdXvIY7hG3wb9CzzSD3M36P24dEP+NTwNesJ33F+g3oTfU59RBySd+Qrn6cugCfBKZ6DuKBuop9CfQ3O4f9TV6E/3e/t6efhAfiN/Qjoauoc1gVeJR/xCdBPjJf+E74Yz039Bt5xXsWd+1Nf1P3uimc22G1M1TV/4H3ux7oR9/gE5CHzC8/hQ4GH8A55HvU8CDjFfXk++JHx4TswPn7HiHghvsljcIE4w/cgHsFJ8pj4wSdkfqk30N3MM3qIeCT+OQ/BuSDi1/0eq56bmPNmqggf0Rf2Z1MKeeHvDcvz2OHK+9VuxxRJ5oXngfX3jMAr8B4eIn6j7qcg35g/+rDwCX1X8ACc5/voH3CIOgSfCp94WQf7gw8SvzNz7zgkutv9jpmOx/2+pmeq925wboD83f3+vOg2Sw/ltM6i3uCVfTnwP/EPHqCTGD/rxHjQGeABeI1OQf/Rh2AfmPtddz2fho5E/zD/6GV4Dp0WVe/wPq/oHj5H/YCeJ0+4PvU4n+P7PAe+HX0ZfveEV+pQeAqfgn4nvhF1FjqLfIBvyRPmkfuCd/jb+OHu9+S88HfOhccG2ApEz3tE/T2GqLwHH+J3Mm7wkrxGj4I/fA8dQ78b3wG/DB1MPOBH4OeB9/8H0xOKeg==AgAAAACAAADMHAAA4x4AAPEGAAA=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_AQAAAACAAADoHAAA+AQAAA==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AQAAAACAAADoHAAAtgAAAA==eJzt2KsWglAUhGGjgjeUbMZsZi2bVsk8BFa6maxVs5ls1kwmY9UsZ5/uvMC/y/cGs/ZMVq9O3WG4zfCv3ySvHh9UXs7uRihMg+ZapAEK2zK+71pU9iHVJ1WIwrWLqWSMwtfTHSqPFlQTFLqUKuMpCu3drFFpMZXPUDiwm6PQ9zxU3goX6Kj0fRiVeyswEQr9boDKt6t5HSr9vrJAob1RFSr9DoXKjd0ShX6vQ6Wt5A0qf9Hozjg=AQAAAACAAADoHAAAYBkAAA==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AQAAAACAAADoHAAAbxYAAA==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AQAAAACAAABQLgAANwkAAA==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AQAAAACAAACgcwAANxIAAA==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AQAAAACAAADoHAAA9wQAAA==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26
+ </AppendedData>
27
+ </VTKFile>
CylinderKnMa/Kn0p32/simulation0679_Kn0p32Ma4p8/Surf.pvd ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="Collection" version="0.1"
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+ byte_order="LittleEndian"
4
+ compressor="vtkZLibDataCompressor">
5
+ <Collection>
6
+ <DataSet timestep="300000" group="" part="0"
7
+ file="Surf/Surf_300000.vtu"/>
8
+ </Collection>
9
+ </VTKFile>
CylinderKnMa/Kn0p32/simulation0679_Kn0p32Ma4p8/cylinder.surf ADDED
@@ -0,0 +1,410 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ surf file from Pointwise
2
+
3
+ 200 points
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+ 200 lines
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+
6
+ Points
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+
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+ 1 0.5 0.0
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+ 2 0.499753280182866E+000 -0.157053795390643E-001
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CylinderKnMa/Kn0p32/simulation0679_Kn0p32Ma4p8/gas.species ADDED
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+ # species name
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+ # molecular mass (kg)
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+ # inverse vibrational relaxation number (unitless)
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+ # vibrational temperature (K)
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+ # species weight (unitless)
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+ Ar 39.95 6.63E-26 0 0.0 0 0.0 0.0 1.0 0.0
CylinderKnMa/Kn0p32/simulation0679_Kn0p32Ma4p8/gas.vhs ADDED
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+ # tref (referenced temperature)
7
+ # alpha (unitless)
8
+
9
+ Ar 4.17e-10 0.81 273 1.0
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AQAAAACAAADoHAAAuxoAAA==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AQAAAACAAADoHAAA/w4AAA==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AQAAAACAAADoHAAA1BcAAA==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AQAAAACAAADoHAAAhRYAAA==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AQAAAACAAADoHAAAOgsAAA==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eJztwQENAAAAwqD3T20ON6AAAAAAAAAAvgwc6AABAQAAAACAAADoHAAAHgAAAA==eJztwQENAAAAwqD3T20ON6AAAAAAAAAAvgwc6AABAQAAAACAAABQLgAANwkAAA==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AQAAAACAAACgcwAANxIAAA==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AQAAAACAAADoHAAA9wQAAA==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AQAAAACAAACdAwAAEQAAAA==eJzj5BwFo2AUDEoAANeOIIY=
34
+ </AppendedData>
35
+ </VTKFile>
CylinderKnMa/Kn0p32/simulation0679_Kn0p32Ma4p8/grid/final-grid.dat ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p32/simulation0679_Kn0p32Ma4p8/log.sparta ADDED
@@ -0,0 +1,318 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ SPARTA (4 Sep 2024)
2
+ Running on 128 MPI task(s)
3
+ variable BZ equal 1.380649E-23
4
+ variable PI equal 3.1415926536
5
+ variable molecular_mass equal 6.63E-26
6
+ variable molecular_diameter equal 4.17E-10
7
+ variable gamma equal 1.666666667
8
+ variable R equal ${BZ}/${molecular_mass}
9
+ variable R equal 1.380649e-23/${molecular_mass}
10
+ variable R equal 1.380649e-23/6.63e-26
11
+ variable L equal 1.0
12
+ variable xmin equal -5.0
13
+ variable xmax equal 6.0
14
+ variable ymin equal -5.0
15
+ variable ymax equal 5.0
16
+ variable Kn equal 0.32
17
+ variable Ma equal 4.800000000000001
18
+ variable To equal 273.0
19
+ variable Tb equal 273.0
20
+ variable theta equal 0.0
21
+ variable mfp equal ${Kn}*${L}
22
+ variable mfp equal 0.32*${L}
23
+ variable mfp equal 0.32*1
24
+ variable cpmfp equal 4
25
+ variable nden equal 1.0/sqrt(2.0)/${PI}/${molecular_diameter}/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
26
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/${molecular_diameter}/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
27
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
28
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(${mfp}/${cpmfp}*${Kn})
29
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.32/${cpmfp}*${Kn})
30
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.32/4*${Kn})
31
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.32/4*0.32)
32
+ variable sos equal sqrt(${gamma}*${R}*${To})
33
+ variable sos equal sqrt(1.666666667*${R}*${To})
34
+ variable sos equal sqrt(1.666666667*208.242684766214*${To})
35
+ variable sos equal sqrt(1.666666667*208.242684766214*273)
36
+ variable vo equal ${Ma}*${sos}
37
+ variable vo equal 4.8*${sos}
38
+ variable vo equal 4.8*307.815564238681
39
+ variable vx equal ${vo}*cos(${theta}*2*PI/360)
40
+ variable vx equal 1477.51470834567*cos(${theta}*2*PI/360)
41
+ variable vx equal 1477.51470834567*cos(0*2*PI/360)
42
+ variable vy equal ${vo}*sin(${theta}*2*PI/360)
43
+ variable vy equal 1477.51470834567*sin(${theta}*2*PI/360)
44
+ variable vy equal 1477.51470834567*sin(0*2*PI/360)
45
+ variable ppc equal 30
46
+ variable xncells equal (${xmax}-${xmin})/${mfp}*${cpmfp}
47
+ variable xncells equal (6-${xmin})/${mfp}*${cpmfp}
48
+ variable xncells equal (6--5)/${mfp}*${cpmfp}
49
+ variable xncells equal (6--5)/0.32*${cpmfp}
50
+ variable xncells equal (6--5)/0.32*4
51
+ variable yncells equal (${ymax}-${ymin})/${mfp}*${cpmfp}
52
+ variable yncells equal (5-${ymin})/${mfp}*${cpmfp}
53
+ variable yncells equal (5--5)/${mfp}*${cpmfp}
54
+ variable yncells equal (5--5)/0.32*${cpmfp}
55
+ variable yncells equal (5--5)/0.32*4
56
+ variable Fnum equal ${nden}*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
57
+ variable Fnum equal 5.05618614457681e+19*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
58
+ variable Fnum equal 5.05618614457681e+19*(6-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
59
+ variable Fnum equal 5.05618614457681e+19*(6--5)*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
60
+ variable Fnum equal 5.05618614457681e+19*(6--5)*(5-${ymin})/${ppc}/${xncells}/${yncells}
61
+ variable Fnum equal 5.05618614457681e+19*(6--5)*(5--5)/${ppc}/${xncells}/${yncells}
62
+ variable Fnum equal 5.05618614457681e+19*(6--5)*(5--5)/30/${xncells}/${yncells}
63
+ variable Fnum equal 5.05618614457681e+19*(6--5)*(5--5)/30/137.5/${yncells}
64
+ variable Fnum equal 5.05618614457681e+19*(6--5)*(5--5)/30/137.5/125
65
+ variable tstep equal (-${xmin}+${xmax})/${vx}/${xncells}/10/4
66
+ variable tstep equal (--5+${xmax})/${vx}/${xncells}/10/4
67
+ variable tstep equal (--5+6)/${vx}/${xncells}/10/4
68
+ variable tstep equal (--5+6)/1477.51470834567/${xncells}/10/4
69
+ variable tstep equal (--5+6)/1477.51470834567/137.5/10/4
70
+ variable nave equal 10000
71
+ variable noutput equal 300000
72
+ clear
73
+ Running on 128 MPI task(s)
74
+ shell mkdir output
75
+ shell mkdir grid
76
+ shell mkdir surf
77
+ seed 7
78
+ dimension 2
79
+ global nrho ${nden}
80
+ global nrho 5.05618614457681e+19
81
+ global fnum ${Fnum}
82
+ global fnum 1.07865304417639e+16
83
+ timestep ${tstep}
84
+ timestep 1.35362442668293e-06
85
+ global gridcut 1.0 particle/reorder 100 comm/sort yes
86
+ region 1 cylinder z 0.0 0.0 3.50 -0.5 0.5
87
+ region 2 cylinder z 0.0 0.0 2.00 -0.5 0.5
88
+ region 3 cylinder z 0.0 0.0 0.80 -0.5 0.5
89
+ boundary o o p
90
+ create_box ${xmin} ${xmax} ${ymin} ${ymax} -0.5 0.5
91
+ create_box -5 ${xmax} ${ymin} ${ymax} -0.5 0.5
92
+ create_box -5 6 ${ymin} ${ymax} -0.5 0.5
93
+ create_box -5 6 -5 ${ymax} -0.5 0.5
94
+ create_box -5 6 -5 5 -0.5 0.5
95
+ Created orthogonal box = (-5 -5 -0.5) to (6 5 0.5)
96
+ create_grid ${xncells} ${yncells} 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
97
+ create_grid 137.5 ${yncells} 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
98
+ create_grid 137.5 125 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
99
+ Created 75199 child grid cells
100
+ CPU time = 0.10065 secs
101
+ create/ghost percent = 1.1604 98.8396
102
+ balance_grid rcb cell
103
+ Balance grid migrated 75062 cells
104
+ CPU time = 0.0945282 secs
105
+ reassign/sort/migrate/ghost percent = 57.0154 0.0297477 8.37602 34.5788
106
+ species gas.species Ar
107
+ mixture air Ar frac 1.0
108
+ mixture air Ar vstream ${vx} ${vy} 0.0 temp ${To}
109
+ mixture air Ar vstream 1477.51470834567 ${vy} 0.0 temp ${To}
110
+ mixture air Ar vstream 1477.51470834567 0 0.0 temp ${To}
111
+ mixture air Ar vstream 1477.51470834567 0 0.0 temp 273
112
+ collide vss air gas.vhs
113
+ collide_modify vremax 100 yes remain no nearcp yes 10
114
+ read_surf cylinder.surf
115
+ 200 lines
116
+ -0.5 0.5 xlo xhi
117
+ -0.5 0.5 ylo yhi
118
+ 0 0 zlo zhi
119
+ 0.0157073 min line length
120
+ 400 0 = cells overlapping surfs, overlap cells with unmarked corner pts
121
+ 67183 7616 400 = cells outside/inside/overlapping surfs
122
+ 398 2 = surf cells with 1,2,etc splits
123
+ 109.215 109.215 = cell-wise and global flow volume
124
+ CPU time = 0.106415 secs
125
+ read/check/sort/surf2grid/ghost/inout/particle percent = 24.0082 22.1699 2.37026 21.2097 30.2418 5.90421 0.136623
126
+ surf2grid time = 0.0225704 secs
127
+ map/comm1/comm2/comm3/comm4/split percent = 14.1965 25.2117 5.08824 1.80863 11.6604 6.42865
128
+ surf_collide 1 diffuse 273.0 1.0
129
+ surf_modify all collide 1
130
+ fix in emit/face air xlo ylo yhi
131
+ balance_grid rcb cell
132
+ Balance grid migrated 1851 cells
133
+ CPU time = 0.0404547 secs
134
+ reassign/sort/migrate/ghost percent = 6.61923 0.0616245 21.3254 71.9938
135
+ create_particles air n 0
136
+ Created 511944 particles
137
+ CPU time = 0.0149578 secs
138
+ stats 10000
139
+ stats_style step cpu np nattempt ncoll nscoll npave nscollave
140
+ run 200000
141
+ Memory usage per proc in Mbytes:
142
+ particles (ave,min,max) = 1.7666 0 3.375
143
+ grid (ave,min,max) = 3.74182 1.51379 6.57629
144
+ surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
145
+ total (ave,min,max) = 5.52902 3.22189 8.28439
146
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
147
+ 0 0 511944 0 0 0 0 0
148
+ 10000 12.359122 568445 9578 8286 21 537244.25 16.0174
149
+ 20000 28.876965 570221 9503 8278 10 553869.28 16.11165
150
+ 30000 44.751111 571443 9607 8362 16 559685.39 16.151533
151
+ 40000 60.661448 571995 9681 8411 17 562757.5 16.1943
152
+ 50000 76.721968 571036 9547 8327 10 564529.06 16.21554
153
+ 60000 92.66277 571017 9611 8384 10 565662.91 16.22615
154
+ 70000 110.8896 571900 9586 8411 14 566577.25 16.244043
155
+ 80000 126.28114 571908 9588 8346 13 567262.53 16.259988
156
+ 90000 142.22757 571686 9550 8298 15 567816.97 16.279611
157
+ 100000 158.90717 571971 9729 8503 18 568235.14 16.27171
158
+ 110000 174.47378 571679 9632 8346 20 568560.01 16.271418
159
+ 120000 190.11571 571626 9590 8299 12 568801.04 16.275025
160
+ 130000 205.92318 571260 9496 8266 18 569023.04 16.282269
161
+ 140000 222.98809 571687 9533 8293 13 569199.15 16.293179
162
+ 150000 238.87964 571505 9579 8323 10 569376.01 16.295227
163
+ 160000 254.18097 571432 9458 8202 11 569499.06 16.292362
164
+ 170000 270.26503 572139 9560 8335 10 569632.08 16.295929
165
+ 180000 286.93719 571663 9484 8243 17 569752.71 16.298972
166
+ 190000 302.61807 572032 9656 8392 19 569852.66 16.299353
167
+ 200000 318.62594 570983 9585 8331 17 569929.89 16.29907
168
+ Loop time of 318.627 on 128 procs for 200000 steps with 570983 particles
169
+
170
+ MPI task timing breakdown:
171
+ Section | min time | avg time | max time |%varavg| %total
172
+ ---------------------------------------------------------------
173
+ Move | 0.024326 | 14.017 | 91.581 | 492.4 | 4.40
174
+ Coll | 0.38521 | 12.96 | 113.65 | 508.6 | 4.07
175
+ Sort | 0.12963 | 2.4632 | 18.49 | 213.8 | 0.77
176
+ Comm | 59.37 | 93.361 | 104.23 | 92.9 | 29.30
177
+ Modify | 0.017838 | 0.1285 | 2.5326 | 101.3 | 0.04
178
+ Output | 0.0038527 | 0.012125 | 0.013773 | 1.4 | 0.00
179
+ Other | | 195.7 | | | 61.42
180
+
181
+ Particle moves = 113985977914 (114B)
182
+ Cells touched = 119129801641 (119B)
183
+ Particle comms = 219695736 (220M)
184
+ Boundary collides = 0 (0K)
185
+ Boundary exits = 21345500 (21.3M)
186
+ SurfColl checks = 193346750 (193M)
187
+ SurfColl occurs = 3259814 (3.26M)
188
+ Surf reactions = 0 (0K)
189
+ Collide attempts = 2213023291 (2.21B)
190
+ Collide occurs = 1724805451 (1.72B)
191
+ Reactions = 0 (0K)
192
+ Particles stuck = 0
193
+ Axisymm bad moves = 0
194
+
195
+ Particle-moves/CPUsec/proc: 2.79486e+06
196
+ Particle-moves/step: 569930
197
+ Cell-touches/particle/step: 1.04513
198
+ Particle comm iterations/step: 1
199
+ Particle fraction communicated: 0.00192739
200
+ Particle fraction colliding with boundary: 0
201
+ Particle fraction exiting boundary: 0.000187264
202
+ Surface-checks/particle/step: 0.00169623
203
+ Surface-collisions/particle/step: 2.85984e-05
204
+ Surf-reactions/particle/step: 0
205
+ Collision-attempts/particle/step: 0.0194149
206
+ Collisions/particle/step: 0.0151317
207
+ Reactions/particle/step: 0
208
+
209
+ Particles: 4460.8 ave 30955 max 0 min
210
+ Histogram: 84 16 5 11 2 6 0 0 2 2
211
+ Cells: 587.523 ave 590 max 587 min
212
+ Histogram: 64 0 0 62 0 0 1 0 0 1
213
+ GhostCell: 15207.6 ave 27995 max 833 min
214
+ Histogram: 21 9 12 10 17 3 6 4 16 30
215
+ EmptyCell: 127.156 ave 296 max 0 min
216
+ Histogram: 13 5 21 26 16 17 12 6 9 3
217
+ Surfs: 200 ave 200 max 200 min
218
+ Histogram: 128 0 0 0 0 0 0 0 0 0
219
+ GhostSurf: 0 ave 0 max 0 min
220
+ Histogram: 128 0 0 0 0 0 0 0 0 0
221
+ compute 1 grid all air n nrho massrho u v w
222
+ compute 2 grid all air trot
223
+ compute 3 tvib/grid all air
224
+ compute 4 thermal/grid all air press temp
225
+ fix 1 ave/grid all 1 ${nave} ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
226
+ fix 1 ave/grid all 1 10000 ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
227
+ fix 1 ave/grid all 1 10000 10000 c_1[*] c_4[*] c_2[*] c_3[*] ave running
228
+ dump 1 grid all ${noutput} output/grid.*.dat id xc yc f_1[*]
229
+ dump 1 grid all 300000 output/grid.*.dat id xc yc f_1[*]
230
+ dump_modify 1 format float %12.5g
231
+ compute 5 surf all air n press px py shx shy fx fy etot erot evib
232
+ fix 2 ave/surf all 1 ${nave} ${nave} c_5[*] ave running
233
+ fix 2 ave/surf all 1 10000 ${nave} c_5[*] ave running
234
+ fix 2 ave/surf all 1 10000 10000 c_5[*] ave running
235
+ dump 2 surf all ${noutput} output/surf.*.dat id v1x v1y v2x v2y f_2[*]
236
+ dump 2 surf all 300000 output/surf.*.dat id v1x v1y v2x v2y f_2[*]
237
+ dump_modify 2 format float %12.5g
238
+ compute 6 lambda/grid f_1[2] f_1[8] Ar kx
239
+ dump 3 grid all ${noutput} output/lambdakn.*.dat id xc yc c_6[*]
240
+ dump 3 grid all 300000 output/lambdakn.*.dat id xc yc c_6[*]
241
+ dump_modify 3 format float %12.5g
242
+ run 100000
243
+ Memory usage per proc in Mbytes:
244
+ particles (ave,min,max) = 1.7666 0 3.375
245
+ grid (ave,min,max) = 3.74182 1.51379 6.57629
246
+ surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
247
+ total (ave,min,max) = 5.72651 3.41911 8.48212
248
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
249
+ 200000 0 570983 9585 8331 0 0 0
250
+ 210000 29.455499 571211 9533 8220 22 571844.63 16.322
251
+ 220000 58.099971 571899 9537 8310 14 571854.2 16.3557
252
+ 230000 87.183578 571104 9555 8317 33 571736.98 16.342833
253
+ 240000 115.54296 570974 9547 8389 18 571678.84 16.307025
254
+ 250000 145.1892 571295 9634 8425 18 571712.88 16.3235
255
+ 260000 173.74049 571453 9635 8348 13 571719.46 16.326367
256
+ 270000 202.96413 571401 9717 8470 15 571763.77 16.3215
257
+ 280000 232.16971 571174 9646 8405 23 571769.63 16.317737
258
+ 290000 260.86793 572055 9521 8274 17 571792.99 16.3193
259
+ 300000 290.55799 572752 9663 8404 19 571830.78 16.32254
260
+ Loop time of 290.558 on 128 procs for 100000 steps with 572752 particles
261
+
262
+ MPI task timing breakdown:
263
+ Section | min time | avg time | max time |%varavg| %total
264
+ ---------------------------------------------------------------
265
+ Move | 0.012662 | 7.0712 | 46.392 | 348.5 | 2.43
266
+ Coll | 0.19234 | 6.5625 | 59.764 | 366.6 | 2.26
267
+ Sort | 0.074775 | 1.2542 | 8.4228 | 149.5 | 0.43
268
+ Comm | 34.617 | 51.549 | 57.445 | 63.6 | 17.74
269
+ Modify | 2.6865 | 19.577 | 120.1 | 537.2 | 6.74
270
+ Output | 0.033794 | 0.035531 | 0.038719 | 0.7 | 0.01
271
+ Other | | 204.5 | | | 70.38
272
+
273
+ Particle moves = 57183077703 (57.2B)
274
+ Cells touched = 59762078412 (59.8B)
275
+ Particle comms = 110129607 (110M)
276
+ Boundary collides = 0 (0K)
277
+ Boundary exits = 10703183 (10.7M)
278
+ SurfColl checks = 96910561 (96.9M)
279
+ SurfColl occurs = 1632254 (1.63M)
280
+ Surf reactions = 0 (0K)
281
+ Collide attempts = 1116233829 (1.12B)
282
+ Collide occurs = 869842652 (870M)
283
+ Reactions = 0 (0K)
284
+ Particles stuck = 0
285
+ Axisymm bad moves = 0
286
+
287
+ Particle-moves/CPUsec/proc: 1.53753e+06
288
+ Particle-moves/step: 571831
289
+ Cell-touches/particle/step: 1.0451
290
+ Particle comm iterations/step: 1
291
+ Particle fraction communicated: 0.00192591
292
+ Particle fraction colliding with boundary: 0
293
+ Particle fraction exiting boundary: 0.000187174
294
+ Surface-checks/particle/step: 0.00169474
295
+ Surface-collisions/particle/step: 2.85444e-05
296
+ Surf-reactions/particle/step: 0
297
+ Collision-attempts/particle/step: 0.0195204
298
+ Collisions/particle/step: 0.0152115
299
+ Reactions/particle/step: 0
300
+
301
+ Particles: 4474.62 ave 30933 max 0 min
302
+ Histogram: 84 16 5 11 2 6 0 0 2 2
303
+ Cells: 587.523 ave 590 max 587 min
304
+ Histogram: 64 0 0 62 0 0 1 0 0 1
305
+ GhostCell: 15207.6 ave 27995 max 833 min
306
+ Histogram: 21 9 12 10 17 3 6 4 16 30
307
+ EmptyCell: 127.156 ave 296 max 0 min
308
+ Histogram: 13 5 21 26 16 17 12 6 9 3
309
+ Surfs: 200 ave 200 max 200 min
310
+ Histogram: 128 0 0 0 0 0 0 0 0 0
311
+ GhostSurf: 0 ave 0 max 0 min
312
+ Histogram: 128 0 0 0 0 0 0 0 0 0
313
+ write_grid grid/final-grid.dat
314
+ grid cells = 75199
315
+ CPU time = 0.0108154 secs
316
+ write_surf surf/geom.surf
317
+ surf elements = 200
318
+ CPU time = 0.00166529 secs
CylinderKnMa/Kn0p32/simulation0679_Kn0p32Ma4p8/mir.txt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ dimension 2
2
+ create_box -5.0 6.0 -5.0 5.0 -0.5 0.5
3
+ read_grid grid/final-grid.dat
CylinderKnMa/Kn0p32/simulation0679_Kn0p32Ma4p8/output/lambdakn.300000.dat ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p32/simulation0679_Kn0p32Ma4p8/output/surf.300000.dat ADDED
@@ -0,0 +1,209 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ITEM: TIMESTEP
2
+ 300000
3
+ ITEM: NUMBER OF SURFS
4
+ 200
5
+ ITEM: BOX BOUNDS oo oo pp
6
+ -5 6
7
+ -5 5
8
+ -0.5 0.5
9
+ ITEM: SURFS id v1x v1y v2x v2y f_2[1] f_2[2] f_2[3] f_2[4] f_2[5] f_2[6] f_2[7] f_2[8] f_2[9] f_2[10] f_2[11]
10
+ 1 0.5 0 0.49975 -0.015705 0.00266 0.060076 -0.060068 0.00094363 6.8218e-06 0.00043425 -0.00094341 2.1643e-05 11.55 0 0
11
+ 129 -0.31871 0.38526 -0.30645 0.39508 0.13362 3.3721 2.1084 -2.6317 0.48655 0.3898 0.04076 -0.035214 744.67 0 0
12
+ 2 0.49975 -0.015705 0.49901 -0.031395 0.00323 0.076231 -0.076146 0.003591 8.2213e-05 0.0017433 -0.0011948 8.3787e-05 15.196 0 0
13
+ 130 -0.30645 0.39508 -0.29389 0.40451 0.12555 3.1651 1.9004 -2.5311 0.50771 0.3812 0.037825 -0.033769 706.98 0 0
14
+ 3 0.49901 -0.031395 0.49778 -0.047054 0.00283 0.064515 -0.064316 0.0050618 0.00029347 0.0037289 -0.0010056 0.00013808 12.136 0 0
15
+ 131 -0.29389 0.40451 -0.28104 0.41354 0.11777 2.9712 1.7084 -2.4308 0.5148 0.36181 0.034921 -0.032499 675.48 0 0
16
+ 4 0.49778 -0.047054 0.49606 -0.062667 0.00287 0.064968 -0.064576 0.0071293 -0.00031589 -0.0028613 -0.0010193 6.7038e-05 12.891 0 0
17
+ 132 -0.28104 0.41354 -0.26791 0.42216 0.1115 2.8262 1.5517 -2.3622 0.52423 0.34435 0.032607 -0.031695 651.16 0 0
18
+ 5 0.49606 -0.062667 0.49384 -0.078217 0.0029 0.067183 -0.066513 0.0094662 0.0001994 0.0014011 -0.0010416 0.0001707 11.646 0 0
19
+ 133 -0.26791 0.42216 -0.25452 0.43037 0.10679 2.6847 1.4027 -2.2891 0.50847 0.31159 0.03002 -0.031061 625.8 0 0
20
+ 6 0.49384 -0.078217 0.49114 -0.093691 0.00263 0.059234 -0.058352 0.010184 0.00028684 0.0016435 -0.00091205 0.00018578 10.811 0 0
21
+ 134 -0.25452 0.43037 -0.24088 0.43815 0.10294 2.5897 1.2831 -2.2495 0.53813 0.30694 0.028607 -0.030513 592.34 0 0
22
+ 7 0.49114 -0.093691 0.48796 -0.10907 0.00311 0.072891 -0.071377 0.014781 9.938e-05 0.00047989 -0.0011196 0.00023971 14.34 0 0
23
+ 135 -0.24088 0.43815 -0.227 0.4455 0.09729 2.4576 1.15 -2.172 0.55405 0.29335 0.026766 -0.029508 571.28 0 0
24
+ 8 0.48796 -0.10907 0.48429 -0.12434 0.00267 0.061536 -0.059836 0.014365 -0.0003577 -0.0014899 -0.00094548 0.00020224 9.236 0 0
25
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147
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148
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149
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150
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151
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152
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153
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154
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155
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156
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157
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158
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159
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160
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161
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162
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163
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164
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165
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166
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167
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168
+ 87 -0.45241 -0.21289 -0.45888 -0.19857 0.22734 5.7873 5.2745 2.3815 0.20268 -0.44889 0.086032 0.030357 1223.1 0 0
169
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170
+ 89 -0.46489 -0.18406 -0.47044 -0.16937 0.23917 6.0545 5.6637 2.1401 0.14137 -0.37412 0.091182 0.027739 1276.6 0 0
171
+ 90 -0.47044 -0.16937 -0.47553 -0.15451 0.24223 6.1303 5.7998 1.9857 0.1373 -0.40103 0.093256 0.024891 1281.5 0 0
172
+ 91 -0.47553 -0.15451 -0.48015 -0.1395 0.25187 6.3323 6.0524 1.8619 0.1017 -0.33058 0.096664 0.024054 1300.2 0 0
173
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174
+ 93 -0.48429 -0.12434 -0.48796 -0.10907 0.2535 6.4462 6.2681 1.5048 0.068566 -0.2856 0.099532 0.019151 1383.3 0 0
175
+ 94 -0.48796 -0.10907 -0.49114 -0.093691 0.25611 6.4763 6.3417 1.3133 0.050204 -0.24243 0.1004 0.016821 1338.1 0 0
176
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177
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178
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179
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180
+ 99 -0.49901 -0.031395 -0.49975 -0.015705 0.26447 6.6953 6.6879 0.31539 0.0026004 -0.055142 0.10509 0.0040878 1413.6 0 0
181
+ 100 -0.49975 -0.015705 -0.5 0 0.26677 6.7405 6.7396 0.10587 0.00025341 -0.016131 0.10587 0.0014096 1408 0 0
182
+ 101 -0.5 0 -0.49975 0.015705 0.26355 6.6487 6.6479 -0.10443 -6.0875e-05 -0.0038751 0.10442 -0.0017012 1379.4 0 0
183
+ 102 -0.49975 0.015705 -0.49901 0.031395 0.26531 6.7061 6.6986 -0.3159 0.0038303 0.081221 0.10528 -0.0036862 1393.2 0 0
184
+ 103 -0.49901 0.031395 -0.49778 0.047054 0.26467 6.6661 6.6455 -0.52301 0.0085031 0.10804 0.10452 -0.0065181 1365 0 0
185
+ 104 -0.49778 0.047054 -0.49606 0.062667 0.26172 6.5873 6.5475 -0.72285 0.017023 0.15419 0.10311 -0.0089321 1369.9 0 0
186
+ 105 -0.49606 0.062667 -0.49384 0.078217 0.2619 6.6107 6.5447 -0.93145 0.026728 0.1878 0.10322 -0.011681 1391.7 0 0
187
+ 106 -0.49384 0.078217 -0.49114 0.093691 0.25761 6.5017 6.4049 -1.1178 0.034483 0.19758 0.10114 -0.014455 1326.3 0 0
188
+ 107 -0.49114 0.093691 -0.48796 0.10907 0.25801 6.4992 6.3642 -1.318 0.053088 0.25635 0.1008 -0.016675 1343.1 0 0
189
+ 108 -0.48796 0.10907 -0.48429 0.12434 0.25204 6.385 6.2086 -1.4905 0.069344 0.28884 0.098609 -0.018876 1356.1 0 0
190
+ 109 -0.48429 0.12434 -0.48015 0.1395 0.25169 6.355 6.1297 -1.6769 0.088124 0.32213 0.097666 -0.02128 1334.2 0 0
191
+ 110 -0.48015 0.1395 -0.47553 0.15451 0.24553 6.1924 5.9186 -1.8208 0.10989 0.35719 0.094691 -0.022989 1303.6 0 0
192
+ 111 -0.47553 0.15451 -0.47044 0.16937 0.24107 6.1085 5.7791 -1.9786 0.12399 0.36215 0.092722 -0.025391 1267.5 0 0
193
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194
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195
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196
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197
+ 116 -0.4455 0.227 -0.43815 0.24088 0.21472 5.4535 4.8196 -2.5519 0.24379 0.46044 0.079533 -0.032851 1157 0 0
198
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199
+ 118 -0.43037 0.25452 -0.42216 0.26791 0.20447 5.1479 4.3893 -2.6898 0.31275 0.51036 0.073856 -0.034233 1075 0 0
200
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201
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202
+ 121 -0.40451 0.29389 -0.39508 0.30645 0.18511 4.6866 3.7478 -2.814 0.37219 0.49571 0.064715 -0.036413 1022.9 0 0
203
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204
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205
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206
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207
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208
+ 127 -0.34227 0.36448 -0.33066 0.37506 0.14433 3.6494 2.4561 -2.6992 0.48918 0.44512 0.046262 -0.035406 817.64 0 0
209
+ 128 -0.33066 0.37506 -0.31871 0.38526 0.13899 3.5048 2.2762 -2.6651 0.4846 0.41389 0.043365 -0.035361 770.77 0 0
CylinderKnMa/Kn0p32/simulation0679_Kn0p32Ma4p8/runmpirun128.sh ADDED
@@ -0,0 +1,18 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #!/bin/bash
2
+ #SBATCH -J Cylinder——Kn
3
+ #SBATCH -p wzhcnormal
4
+ #SBATCH -N 2
5
+ #SBATCH --ntasks-per-node=64
6
+
7
+
8
+ module purge
9
+ module load compiler/devtoolset/7.3.1
10
+ module load mpi/hpcx/2.11.0/gcc-7.3.1
11
+ export UCX_WARN_UNUSED_ENV_VARS=n
12
+ /public/software/mpi/hpcx/v2.11.0/gcc-7.3.1/bin/mpirun -n 128 ../../../sep2024-sparta/src/spa_mpi <config.txt
13
+
14
+ /work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/grid2paraview.py mir.txt Grid -r ./output/grid.*.dat
15
+
16
+ /work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/grid2paraview.py mir.txt Lambda -r ./output/lambdakn.*.dat
17
+
18
+ /work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/surf2paraview.py ./surf/geom.surf Surf -r ./output/surf.*.dat
CylinderKnMa/Kn0p32/simulation0679_Kn0p32Ma4p8/runmpirun64.sh ADDED
@@ -0,0 +1,18 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #!/bin/bash
2
+ #SBATCH -J Cylinder——Kn
3
+ #SBATCH -p wzhcnormal
4
+ #SBATCH -N 1
5
+ #SBATCH --ntasks-per-node=64
6
+
7
+
8
+ module purge
9
+ module load compiler/devtoolset/7.3.1
10
+ module load mpi/hpcx/2.11.0/gcc-7.3.1
11
+ export UCX_WARN_UNUSED_ENV_VARS=n
12
+ /public/software/mpi/hpcx/v2.11.0/gcc-7.3.1/bin/mpirun -n 64 ../../../sep2024-sparta/src/spa_mpi <config.txt
13
+
14
+ /work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/grid2paraview.py mir.txt Grid -r ./output/grid.*.dat
15
+
16
+ /work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/grid2paraview.py mir.txt Lambda -r ./output/lambdakn.*.dat
17
+
18
+ /work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/surf2paraview.py ./surf/geom.surf Surf -r ./output/surf.*.dat
CylinderKnMa/Kn0p32/simulation0679_Kn0p32Ma4p8/slurm-28429594.out ADDED
@@ -0,0 +1,204 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ SPARTA (4 Sep 2024)
2
+ Running on 128 MPI task(s)
3
+ Running on 128 MPI task(s)
4
+ Created orthogonal box = (-5 -5 -0.5) to (6 5 0.5)
5
+ Created 75199 child grid cells
6
+ CPU time = 0.10065 secs
7
+ create/ghost percent = 1.1604 98.8396
8
+ Balance grid migrated 75062 cells
9
+ CPU time = 0.0945282 secs
10
+ reassign/sort/migrate/ghost percent = 57.0154 0.0297477 8.37602 34.5788
11
+ Reading surface file ...
12
+ 200 lines
13
+ -0.5 0.5 xlo xhi
14
+ -0.5 0.5 ylo yhi
15
+ 0 0 zlo zhi
16
+ 0.0157073 min line length
17
+ 400 0 = cells overlapping surfs, overlap cells with unmarked corner pts
18
+ 67183 7616 400 = cells outside/inside/overlapping surfs
19
+ 398 2 = surf cells with 1,2,etc splits
20
+ 109.214731023047 109.214731023047 = cell-wise and global flow volume
21
+ CPU time = 0.106415 secs
22
+ read/check/sort/surf2grid/ghost/inout/particle percent = 24.0082 22.1699 2.37026 21.2097 30.2418 5.90421 0.136623
23
+ surf2grid time = 0.0225704 secs
24
+ map/comm1/comm2/comm3/comm4/split percent = 14.1965 25.2117 5.08824 1.80863 11.6604 6.42865
25
+ Balance grid migrated 1851 cells
26
+ CPU time = 0.0404547 secs
27
+ reassign/sort/migrate/ghost percent = 6.61923 0.0616245 21.3254 71.9938
28
+ Creating particles ...
29
+ Created 511944 particles
30
+ CPU time = 0.0149578 secs
31
+ Memory usage per proc in Mbytes:
32
+ particles (ave,min,max) = 1.7666 0 3.375
33
+ grid (ave,min,max) = 3.74182 1.51379 6.57629
34
+ surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
35
+ total (ave,min,max) = 5.52902 3.22189 8.28439
36
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
37
+ 0 0 511944 0 0 0 0 0
38
+ 10000 12.359122 568445 9578 8286 21 537244.25 16.0174
39
+ 20000 28.876965 570221 9503 8278 10 553869.28 16.11165
40
+ 30000 44.751111 571443 9607 8362 16 559685.39 16.151533
41
+ 40000 60.661448 571995 9681 8411 17 562757.5 16.1943
42
+ 50000 76.721968 571036 9547 8327 10 564529.06 16.21554
43
+ 60000 92.66277 571017 9611 8384 10 565662.91 16.22615
44
+ 70000 110.8896 571900 9586 8411 14 566577.25 16.244043
45
+ 80000 126.28114 571908 9588 8346 13 567262.53 16.259988
46
+ 90000 142.22757 571686 9550 8298 15 567816.97 16.279611
47
+ 100000 158.90717 571971 9729 8503 18 568235.14 16.27171
48
+ 110000 174.47378 571679 9632 8346 20 568560.01 16.271418
49
+ 120000 190.11571 571626 9590 8299 12 568801.04 16.275025
50
+ 130000 205.92318 571260 9496 8266 18 569023.04 16.282269
51
+ 140000 222.98809 571687 9533 8293 13 569199.15 16.293179
52
+ 150000 238.87964 571505 9579 8323 10 569376.01 16.295227
53
+ 160000 254.18097 571432 9458 8202 11 569499.06 16.292362
54
+ 170000 270.26503 572139 9560 8335 10 569632.08 16.295929
55
+ 180000 286.93719 571663 9484 8243 17 569752.71 16.298972
56
+ 190000 302.61807 572032 9656 8392 19 569852.66 16.299353
57
+ 200000 318.62594 570983 9585 8331 17 569929.89 16.29907
58
+ Loop time of 318.627 on 128 procs for 200000 steps with 570983 particles
59
+
60
+ MPI task timing breakdown:
61
+ Section | min time | avg time | max time |%varavg| %total
62
+ ---------------------------------------------------------------
63
+ Move | 0.024326 | 14.017 | 91.581 | 492.4 | 4.40
64
+ Coll | 0.38521 | 12.96 | 113.65 | 508.6 | 4.07
65
+ Sort | 0.12963 | 2.4632 | 18.49 | 213.8 | 0.77
66
+ Comm | 59.37 | 93.361 | 104.23 | 92.9 | 29.30
67
+ Modify | 0.017838 | 0.1285 | 2.5326 | 101.3 | 0.04
68
+ Output | 0.0038527 | 0.012125 | 0.013773 | 1.4 | 0.00
69
+ Other | | 195.7 | | | 61.42
70
+
71
+ Particle moves = 113985977914 (114B)
72
+ Cells touched = 119129801641 (119B)
73
+ Particle comms = 219695736 (220M)
74
+ Boundary collides = 0 (0K)
75
+ Boundary exits = 21345500 (21.3M)
76
+ SurfColl checks = 193346750 (193M)
77
+ SurfColl occurs = 3259814 (3.26M)
78
+ Surf reactions = 0 (0K)
79
+ Collide attempts = 2213023291 (2.21B)
80
+ Collide occurs = 1724805451 (1.72B)
81
+ Gas reactions = 0 (0K)
82
+ Particles stuck = 0
83
+ Axisymm bad moves = 0
84
+
85
+ Particle-moves/CPUsec/proc: 2.79486e+06
86
+ Particle-moves/step: 569930
87
+ Cell-touches/particle/step: 1.04513
88
+ Particle comm iterations/step: 1
89
+ Particle fraction communicated: 0.00192739
90
+ Particle fraction colliding with boundary: 0
91
+ Particle fraction exiting boundary: 0.000187264
92
+ Surface-checks/particle/step: 0.00169623
93
+ Surface-collisions/particle/step: 2.85984e-05
94
+ Surface-reactions/particle/step: 0
95
+ Collision-attempts/particle/step: 0.0194149
96
+ Collisions/particle/step: 0.0151317
97
+ Gas-reactions/particle/step: 0
98
+
99
+ Particles: 4460.8 ave 30955 max 0 min
100
+ Histogram: 84 16 5 11 2 6 0 0 2 2
101
+ Cells: 587.523 ave 590 max 587 min
102
+ Histogram: 64 0 0 62 0 0 1 0 0 1
103
+ GhostCell: 15207.6 ave 27995 max 833 min
104
+ Histogram: 21 9 12 10 17 3 6 4 16 30
105
+ EmptyCell: 127.156 ave 296 max 0 min
106
+ Histogram: 13 5 21 26 16 17 12 6 9 3
107
+ Surfs: 200 ave 200 max 200 min
108
+ Histogram: 128 0 0 0 0 0 0 0 0 0
109
+ GhostSurf: 0 ave 0 max 0 min
110
+ Histogram: 128 0 0 0 0 0 0 0 0 0
111
+ Memory usage per proc in Mbytes:
112
+ particles (ave,min,max) = 1.7666 0 3.375
113
+ grid (ave,min,max) = 3.74182 1.51379 6.57629
114
+ surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
115
+ total (ave,min,max) = 5.72651 3.41911 8.48212
116
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
117
+ 200000 0 570983 9585 8331 0 0 0
118
+ 210000 29.455499 571211 9533 8220 22 571844.63 16.322
119
+ 220000 58.099971 571899 9537 8310 14 571854.2 16.3557
120
+ 230000 87.183578 571104 9555 8317 33 571736.98 16.342833
121
+ 240000 115.54296 570974 9547 8389 18 571678.84 16.307025
122
+ 250000 145.1892 571295 9634 8425 18 571712.88 16.3235
123
+ 260000 173.74049 571453 9635 8348 13 571719.46 16.326367
124
+ 270000 202.96413 571401 9717 8470 15 571763.77 16.3215
125
+ 280000 232.16971 571174 9646 8405 23 571769.63 16.317737
126
+ 290000 260.86793 572055 9521 8274 17 571792.99 16.3193
127
+ 300000 290.55799 572752 9663 8404 19 571830.78 16.32254
128
+ Loop time of 290.558 on 128 procs for 100000 steps with 572752 particles
129
+
130
+ MPI task timing breakdown:
131
+ Section | min time | avg time | max time |%varavg| %total
132
+ ---------------------------------------------------------------
133
+ Move | 0.012662 | 7.0712 | 46.392 | 348.5 | 2.43
134
+ Coll | 0.19234 | 6.5625 | 59.764 | 366.6 | 2.26
135
+ Sort | 0.074775 | 1.2542 | 8.4228 | 149.5 | 0.43
136
+ Comm | 34.617 | 51.549 | 57.445 | 63.6 | 17.74
137
+ Modify | 2.6865 | 19.577 | 120.1 | 537.2 | 6.74
138
+ Output | 0.033794 | 0.035531 | 0.038719 | 0.7 | 0.01
139
+ Other | | 204.5 | | | 70.38
140
+
141
+ Particle moves = 57183077703 (57.2B)
142
+ Cells touched = 59762078412 (59.8B)
143
+ Particle comms = 110129607 (110M)
144
+ Boundary collides = 0 (0K)
145
+ Boundary exits = 10703183 (10.7M)
146
+ SurfColl checks = 96910561 (96.9M)
147
+ SurfColl occurs = 1632254 (1.63M)
148
+ Surf reactions = 0 (0K)
149
+ Collide attempts = 1116233829 (1.12B)
150
+ Collide occurs = 869842652 (870M)
151
+ Gas reactions = 0 (0K)
152
+ Particles stuck = 0
153
+ Axisymm bad moves = 0
154
+
155
+ Particle-moves/CPUsec/proc: 1.53753e+06
156
+ Particle-moves/step: 571831
157
+ Cell-touches/particle/step: 1.0451
158
+ Particle comm iterations/step: 1
159
+ Particle fraction communicated: 0.00192591
160
+ Particle fraction colliding with boundary: 0
161
+ Particle fraction exiting boundary: 0.000187174
162
+ Surface-checks/particle/step: 0.00169474
163
+ Surface-collisions/particle/step: 2.85444e-05
164
+ Surface-reactions/particle/step: 0
165
+ Collision-attempts/particle/step: 0.0195204
166
+ Collisions/particle/step: 0.0152115
167
+ Gas-reactions/particle/step: 0
168
+
169
+ Particles: 4474.62 ave 30933 max 0 min
170
+ Histogram: 84 16 5 11 2 6 0 0 2 2
171
+ Cells: 587.523 ave 590 max 587 min
172
+ Histogram: 64 0 0 62 0 0 1 0 0 1
173
+ GhostCell: 15207.6 ave 27995 max 833 min
174
+ Histogram: 21 9 12 10 17 3 6 4 16 30
175
+ EmptyCell: 127.156 ave 296 max 0 min
176
+ Histogram: 13 5 21 26 16 17 12 6 9 3
177
+ Surfs: 200 ave 200 max 200 min
178
+ Histogram: 128 0 0 0 0 0 0 0 0 0
179
+ GhostSurf: 0 ave 0 max 0 min
180
+ Histogram: 128 0 0 0 0 0 0 0 0 0
181
+ Writing grid file ...
182
+ grid cells = 75199
183
+ CPU time = 0.0108154 secs
184
+ Writing surface file ...
185
+ surf elements = 200
186
+ CPU time = 0.00166529 secs
187
+ Processing 4 grid chunk(s).
188
+ Completed grid chunk number: 3
189
+ Completed grid chunk number: 2
190
+ Completed grid chunk number: 1
191
+ Completed grid chunk number: 0
192
+
193
+ Done in 0:00:11 (wall clock time)
194
+
195
+ Processing 4 grid chunk(s).
196
+ Completed grid chunk number: 3
197
+ Completed grid chunk number: 2
198
+ Completed grid chunk number: 1
199
+ Completed grid chunk number: 0
200
+
201
+ Done in 0:00:10 (wall clock time)
202
+
203
+ Processing SPARTA surface information.
204
+ Processing dump result file: ['./output/surf.300000.dat']
CylinderKnMa/Kn0p32/simulation0679_Kn0p32Ma4p8/surf/Surf_300000.vtu ADDED
@@ -0,0 +1,38 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ <PointData>
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+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="24804" />
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AQAAAACAAABABgAA9AUAAA==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AQAAAACAAABABgAA9wUAAA==eJwtknk41GsUx41ZbmEudaurPeXaUkRSifMrWkwkWtCq9crSIkWINJGlqRBGU1ERoYiuMlOdnyVTFLJkfyQ0KhMRMWncGfX+8z7nvM95v9/n+zlDT9KkTz9vAJH007FWN0+QJDrG3xd4g593YOc149OwvnprE3UfG6L0Ihydm85B6so3K86svghxtLS7B9w50F86kJegFAUf97ie8AqNBqk4Z7cPPwZqT20eaZ0QC2aenHElBbHgW8NVO24dC0XMoRHDVVwYjUH/tZwESFk4VbhukAtNka5md75chdn9lODy5OtAsZm6NCmFB7QVh9pylG6DnYbjJ2e1W+A5Z6fHNt1kSLwoVNlckgp5NqHtwyppwJx+4OfBveng66LQZhl+H3Krkid5+z+AU3AYA3JygE2W3lyd9wh2B01MNCvIg6DkMJUMXwHw9bWWzK57BhVsQe7JpgJYMYkusbpRDDbhmn5Tn5eAdhhflXArA4e+TzOoORVwh1c8J9urEqb8KPvysqgKbhOJL2KSayF4fDOfl/oW0NI+ya6jARQcc/bNU2sBbfcay8X8VrAOeRAy5482GHfFNr9Q8B7sZk1xs+3vAChp/u9cgAjSHzHyWNkfIdJo+v7oqG6YN9TKOukhBl6mveqbrh4o8Vx85hHxFSoO1orc5vdBZ+XcpuHAfhAznxkm6A2Apk7ghXz3QRi7xg8B31pFcf75Yaj1/ai1aJwEhja1p/CKR4AmuqAjZkpBrn5x0yjUXP0wM9VVgXBKM3lttoFCCHWXR5eNUgiWfDxOkTAUaKsqm1AJeTmlgUp0G8gakTSiaH+6y+YqGpHt5RolDqAT5rwtiRn36ESlVX3vt1I6Maiz41LhCQZh5LNAY7Y3g1CWG1zGIDIqard2ZzGIatu9ak6yeiMn/vBENoNIcyw1Kl7EILbtN2u149CJuR6+fin6dCL+sqrfkgwaYSw/udRf70wqITNT/r2aQjhuf4DdsyhEY6Zkh+fzUdAuDE11LP0JDtbXz2gVSsBoi6He3b+GIGzfzuY11AFQqrt91FypD45tafBZ3SuGiIzSZ/PPiqAns+Xkzfx3cHxCa7izQQ1opyQ1rZ8mgPKUx+ndAj6qXjO+9dC0Bhn7s3yCnrzDJSueOsRpiDAq8Mfyo+VilNM5+/4rjuU2ZQB/5fUdFyXoqcfWSDC1a93CUY2fGNRgfsopbRTL1IT8x0wKWZnrPJDfSCH1x0AoknK3lcVUkmsz+QLLjUZSbM8x7Qzo5KSxRaGTwbGWkR4iOtmmHHP3rD2D/J0f+VimLuQyyMkzX3ZCMoM8PGaIQcposJwZDJLlzzaw0WKQ8u0ZjKeTERc7+mY70MlfPuhkhoUsSaCRJj1LV6/1opJP2yfJflIkx+LbqEiO7ZuUQgrXm4avdKGQO6WWErG7Apn1Twf7xmspymk+fCHFMZ07IyjvpldIfucwjM8K/tbaRB9COZXQ1EGUiD+Ty+YN4KXCAdmm9OOTODnoPlz6r9WhI7292OyqcCSY1otWi/ns+oRuDFCNn+HD+ozZ5rmahG0XxokKWpwFH5D30rSpmduBXYPRJa4z3+PN/mkCq4F3v+dbMcQnP6ynuBnn7KozqGc24CqLroZMyVv0SvXOllZUo7H0dEkItRofO9mzD6lXYkiAnMhr1JuZOXqcW4ZH6vN0cleWYHCOrqNvfBG27KpSv3e7EIc4WTInJH7x0VH6Fv4EZ6yKvWpeyccLIRpeEr88XBDPKR/Wzfmtl43vGsOjL6/LwM9CreEJmI4PX7bFbNBMw84/eS9e0e/geQf/CZ7CZCxi0SdvwVvYznk1L8gwCbdzQ05uyE3CRqFS4PS911C9Iulm0Fketv947xCbx0WPlT0cDQUuslyO/3lj/HW0XpfsORJ+FaNFEosZmldQ18JCw+xIDDqlK/sm7IlBbQMjCq6JRhNmxAeKfjSWm97yf2sSgZFhe/sY3HC0/mYU0RkXim7nUcu9ho0fokDd98tpzCpQqXt47QRePua/1HSHG+pbFiw62mmP/wNtgiQcAQAAAACAAABABgAADAYAAA==eJwtk31cywkcx4+eNCmkCV16oKuUJDuj8mmKKHLlFDuUKctKeerRQ3XlUokUPW6pc13mTKPnYlsli1EtKUvbfruknEMJF4mLl7++r+8f39fn8/283p83Y1rzeti9q3gu0vPUdANUrWVOYzs6QNd0DrWhfJmQS7F8KzKzhkvZppCAe0vxvcbaPe7T5uLBHtp9yoHlwlFr1z3R45uhqiDW+NPo0Pdnq1qletgSbJJ938gHt9+eo9GnMBHFShlKdYxBSrB1bHZXEKr/8+fMKT+ChWouBsvDEuD0xGjRAC0eI0/3897xkzE/vtPC62Uy3otOf55MywB9+t0xan4WmDb5rV6aOWCHqkUVeRXDeZhta1JRiABeD8WUV4zmu8FPRlJLkSHX8CDZXIJZn7e1SpuHE5X2kY2efMzm2FQqwvnYkN7e1vn8OqTRZidH9lehg5IVXlVbi2PZAw3ybfXf9IVYmSmJWydsQI05m3xjsAkmC6bminhNEDTMttisIUbO35evv0ptQUni2zjdkTu4Gihea7JTgqAvo7sNV4zogY7KNnwon29l1tSO49wLyw24HThKih/WmduJxz/ZtyqTOpFRNGr/9Go3pmsWHtHLeQRtcrKDML8bRePrZszxleGTxSwzYnoPvto5JsOGTVv/nhT0GJLaWX7nj8lx0fEkx+pwL+4/KdgXtkGJ/KPl99OfKRHB/9S2S6CACW14970dxDdfBMhjkpd3mgjYfSB1nFqjQubVvIkLAroeuXvH/FS4eE8zL/AJgR9bFpgzdxH4wetllCVJhXRGbcnDDAI9VIbtKg0F3C75lGvRlVjxZRUpYND3caOlmwLDnuM3uOvkGKBEpvzDk6Ga7Xlgi0yGZ7oMJokjw9YBw4ybim6I62rSNYe64FQUetdA8RAPz7e9dqp5gJ4rH7bva+7AiSnUJGtKG7Yeig84bSyBSnp7RsjwHSQlDCiaFopRs9U7ca9hI1I6FMTUrAZUS79TTNaug47jqfVxdpXoJhfmpKZfw6l6WoVvBRfLEkcniPodfT+H7CL35OGwy8x3LxZkwq0m7JVw5SHE3iswDt8YBG/kchMLlmCQXDcz4R89YWjPkdKagHBMMfdumslKwPgJY/vYsLMovXOq+vzOAsx1SIltKC0GR1BYtm3xX6iPs3FLFl2DzPTTLs8zVRifSEVkegPOr7XU2m4K0dpYGDka0gj+weCzL46KEWwWGh1b0gI70aqVEf0SsBrSBL8ua0OphMEYOSAF68bhLEP1TnC6Hy28XN2JiK+AduHW0ZhJ76TdyOG9XbP6l0c4KHT1LtrUgygPreefjXrxFH8oBbq94LwRDFcyFeDJI4trvZR4r/esukxNiZD8KPbv5kr0u9WTrECgmhEnc44hsKdo6adjtwkED14gGGsIWPcpmdupKvhbSaaL61TQ/mmzpOsDgX1G18gXJhOg7KxbrzNZhWhL0psUJwI1md/PS4gm4PD1ASXK/PnzqmwV2HEritGVJodDan+2r2sv3Lfou8m1ehE14crc9jFeVzKz1S/JELmU6rFzgpNppzP9BgwfIT6oZL3VYBc+9t1kBTU+xEQphtc+fYDt9GkpR2weYCxm81nSbimavsR6vR3y3EL+LbV2/KZmuk2k3gp9G13mcYoEq10/q89edPdbz8X4/K97agv/Ns5ctjhZp3cLfhYffRDeiALndpLOtgY8P1RpMCYRQC/HaCLSehiaOk2gX4srkzxc01dXoZj1hhXfUYFfqXo/LOFcx5+BK7RL7Phwp9pGS/0uYaGJhWq1MRfNjqIs8uKLMDiTxprh/Qcs87X4LWUX8OOgZ3jc4nwMUdTFQb3ngP5cm5fIxLinTx5DNxMxZfS8Ic90JEesylFXS0TMfPdDgf3J8PaprxOw4uHJHdIRukRgdEYgN795PwqtV75Ier0Xif2CNJ5vKOhpGocNaAch1qexk/WD8cIuZqpzsxc+5tBLLgt/hnq3pKT0uBtIF52T9Kz1heLTHLONcnshLyzz4ArfJSBKvQ3fnyMhNlCx30VsDHKMpoSgWSDgrP6146/U8D9GowIFAQAAAACAAABABgAAGQYAAA==eJwtk3s4EwoYxkttc0n3kMqtm0JPkqjUd0pCUkS51nHOUSgqOUyRTLmEVsaY+1hjuQwlzSVfh4YSi8nIDCmkm7l0E53q6c/3n+95ft/7ew1TXGMp/iYgfaOr/v66KxQppEgXxJ4Gj7q4+wlnPdDQ7lQ+a/wI3JyaV3zknTPsKFTsMvIDMLSmSpW9HPGkyk6tnD3nIPeTqdbKI/7weTqsVN9kLYCSebTPJw/Qf6klm9UUBBEzrbh/S2OAWsyJEloGwBTrTOtm7WhIPLqRN0ClQim35RwzMhrSou1VXGRpQE5X/OJBjINhOBXyjU0Hjq3FpnwyA2qfzZxPnkiBQ6HaDH0CC7IWeLt+52bCSby7aLVmFqhdM53a4M2GVccympewb0I8f8o8xzQXUpcJFyUGcqC0IaA6UzUX1A64bSvs4kDAd8eouZR8qK2Qvm9wLAQXwXyq08cCKKnRU7e0LILXlsltT4nFcKb8a4llSDGoW6lXMKsLwTI9dE1NRBGETYnKvQy40OztMHT5eAGMBqVOvzXPg/4ayg1dtzxwq79E0fgjBzzvDPvdXcICOeMr6w2DmCD86iIzcjAZxhrU55h8osLQjOXtRQIyiF5wy6d5gViTdS8wUBCHjeNWD10GM7GHNX0hnJCLIcYWUaOEQux061vVpH4HnSKM2/k+PPQW6MrZ2FXi4UV7ukka/6HtqRRyWnYtPtFOdHFW5GPxtOCv6qoGHPP14agMNqJo8wdjM/NmHNZU7d719im+Zdk57GxsQWFV/+IVj4QYacM+Ma+0DcPf2PLUwp/hV94W+9gxERrPpxH293agS7B8qHROB4r2V3cO1D3HX3iTXSi2UmX523djGsqFyxpLkEcs21dsLMZIXHOqzVSCe5trMgI+9yDj9MLLDx73YJ9C/K0w2158Pk2nr2H3YiXvGnFEqRet2zmRnv/2Io+2YhklsBsHDQOuDhd2IUPZTT29QozX0sJ3vBvpQk6//iy6VISMB4WV5/M6cX2s3uyt2s/Q9XrNhLar8DdnK+pIGkxGSQK0rDgx2rSlEbOTbHXvldbhaiKFbhrzEFU3WnwtjebiN7bZRdr2Avylz5Ub2HI6ObCg+gzqM3D3wONS2PuGczKMUwlE9yLypapaSF6vQm+Ta4C7Uzo61vsegc7P6PkUAkt9HzoHt8KQpHZ1fXobNNutOGcgbgcC/7o+WU/0248OuGsvoZ51FkPSEdMXalZdsA5ufXwdKIZ0K9/DneRu6CSbjSBdAtaf2SES+15IXmg5vim6B5r8Vb1uVfVAq2H8mbLyHqhMzd328oQE4kImt51tlsB+o6u73F5JYBNZT1N9XAyVo04ZpB/3ml7fZnQEi8FZ8WqQ7sXn4MOfvh002gFXFA8WJRzvgHRPB81Xa0W/udrBjjuyQVkqhI3u/vmDN4VQRVi4GOpaoUZ5jR2B9RQY+5fE7ht+Aj9K+GCw4QnIY5sgNboBBhz8Qt2odb//VQs215J+Ng7LS5QyZdyq4DBT6XKk1z2I2bTMnRZ3B2gkrZjNUi74GOsqfuPkwFBWmSJLgwnZ67ZPMTfQwPnwK/1yEhlatwLft9cfG7OLY7JJVHQXZDS2rWLgJCluztayDLT9qa0MC6PJoWv1XHNQ7G6/tK6bgztEn/o0NPNw5WWxGSO7AO8ly0stqgrQ7OOuRMKiIgxXOD/b6BAXt5DH0TWGixspLuQx+yIkTuj5VehysTaNaT03swBX7+LJyE8UYJpS1ZCORT6a99uggks+9huF0+XX52HEjbFpOMDBui+pNlGhLPzC9PgxDTaazjj7ttMvC8vud9OWF7NwmOQft9uJiS/DDD5P8tPQ7HldJsebgbMIkke59YlINH+U7zeHgXyZP1sKRQn4TpT+3kQaix7vNfuCLsXjheXEMYeGWCyRnfdyeMEV9Ao3kNNWo6BsgnV5TWUwTubN/HBVlYItbw6+8FsbhUMmS1uTEijoMRbPd5zphaQUQXnXxDncLqQvDXU4joeOtzuXaBnBa+Uu5yVJTsBmNOlV33ZFz2NzKz+o7MStOxIU5/s64lHyrXrvSz5Im90nr932D/4PS8dBnw==AQAAAACAAABABgAANgYAAA==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AQAAAACAAABABgAA4QMAAA==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eJxjYBgFo2AUjIJRMApIBwAGQAABAQAAAACAAABABgAAFQAAAA==eJxjYBgFo2AUjIJRMApIBwAGQAABAQAAAACAAADAEgAA0gMAAA==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AQAAAACAAABABgAAXwEAAA==eJwtxVFEHAAAANBKkpzkJEmSJMlJkiRJkiRJkiQnSXKSJEmSJEmSJEmSZGYmmUmSJEmSJEkyMzOTzCRJkmT20Xs/LybqXazjHO8EB5zoJAed7BSnOs3pznCms5ztHOc6zyHnu8CFLnKxS1zqMpe7wpWucrVrXOs617vBjW5ys1vc6rDb3O4Od7rLEXe7x73uc78HPOghD3vEox7zuCc86SlPe8aznvO8F7zoJS97xate8wd/9Cd/9ro3/MVfvektb3vHu97zvg986CMf+8SnPvO5L3zpK1/7m7/7h3/6l3/7xrf+47++870f/OgnP/vFr37zP0dFvxfjWMc53gkOONFJDjrZKU51mtOd4UxnOds5znWeQ853gQtd5GKXuNRlLneFK13late41nWud4Mb3eRmt7jVYbe53R3udJcj7naPe93nfg940EMe9ohHPeZxT3jSU572jGc95/9sSVRSAQAAAACAAADIAAAADAAAAA==eJxjZh4eAADsVAJZ
37
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38
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eJzt2ytMw1AUgGEk63gzPWzR6Ca4YZmeRg8Lunoa7Kanq8GCnp4edmh6zwk7CTkQXsvpkv+aT/yma7O79d62X3XLxeX2eR9/5Olg9LDMzdvOtDe/Mel0Op3ezB71u/GapwPCv/r8lIZ5Up/dqttaSafT6XS/R8/f797fpdHCf/a6yGbjofm4TCfcpNPp9E3t0fPrR+UwiwzXrNy+d8wrGSadTqd/1qPnr+9aH3z9CTBKWa6tTL0s7ZV0Oj2uR88Pv1WW38o2Nsy0GpkPTPn7MDXp9Cb36O/PutT9+x3ccLdkmPo8hEn/ukdfv6ao+5mI6Kn7JbuI6KjrwnuI6KjrbYjoqesv+4joqOsXB4joqOt5iOg5GaYbdUT01PemENHzIj0O0TtEREd9XwkRPV/SY2cLRPSUbfTiCBEdZRtkhIiechsyR0TPMxnHiOhYynthiOiZ7kKyGSJ6vgFolywYAQAAAACAAADwYgAASyUAAA==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AQAAAACAAADwYgAA4CoAAA==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AgAAAACAAADMHAAA4x4AAPEGAAA=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_AQAAAACAAADoHAAA+AQAAA==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AQAAAACAAADoHAAAtgAAAA==eJzt2KsWglAUhGGjgjeUbMZsZi2bVsk8BFa6maxVs5ls1kwmY9UsZ5/uvMC/y/cGs/ZMVq9O3WG4zfCv3ySvHh9UXs7uRihMg+ZapAEK2zK+71pU9iHVJ1WIwrWLqWSMwtfTHSqPFlQTFLqUKuMpCu3drFFpMZXPUDiwm6PQ9zxU3goX6Kj0fRiVeyswEQr9boDKt6t5HSr9vrJAob1RFSr9DoXKjd0ShX6vQ6Wt5A0qf9Hozjg=AQAAAACAAADoHAAAPxkAAA==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AQAAAACAAADoHAAADBYAAA==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AQAAAACAAABQLgAANwkAAA==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AQAAAACAAACgcwAANxIAAA==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AQAAAACAAADoHAAA9wQAAA==eJw12RG7MoABBeC7rW1ta3uCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAguBMGFwX2/I+9vOOcEvn4TZIhhRhhljHEmmGSKaWaYZY55FlhkiWVWWGWNdTbYZIttdthlj30OOOSIY0445YxzLrjkimtuuOWOex545IlnXnjljXc++OSL33zzwx9+/eWXAIMMMcwIo4wxzgSTTDHNDLPMMc8CiyyxzAqrrLHOBptssc0Ou+yxzwGHHHHMCaeccc4Fl1xxzQ233HHPA4888cwLr7zxzgeffPGbb374w6+//hJgkCGGGWGUMcaZYJIppplhljnmWWCRJZZZYZU11tlgky222WGXPfY54JAjjjnhlDPOueCSK6654ZY77nngkSeeeeGVN9754JMvfvPND3/49bdfAgwyxDAjjDLGOBNMMsU0M8wyxzwLLLLEMiusssY6G2yyxTY77LLHPgcccsQxJ5xyxjkXXHLFNTfccsc9DzzyxDMvvPLGOx988sVvvvnhD78CYJAhhhlhlDHGmWCSKaaZYZY55llgkSWWWWGVNdbZYJMtttlhlz32OeCQI4454ZQzzrngkiuuueGWO+554JEnnnnhlTfe+eCTL37zzQ9/+PX3XwIMMsQwI4wyxjgTTDLFNDPMMsc8CyyyxDIrrLLGOhtsssU2O+yyxz4HHHLEMSeccsY5F1xyxTU33HLHPQ888sQzL7zyxjsffPLFb7754Q+//vFLgEGGGGaEUcYYZ4JJpphmhlnmmGeBRZZYZoVV1lhng0222GaHXfbY54BDjjjmhFPOOOeCS6645oZb7rjngUeeeOaFV95454NPvvjNNz/84dc/fwkwyBDDjDDKGONMMMkU08wwyxzzLLDIEsussMoa62ywyRbb7LDLHvsccMgRx5xwyhnnXHDJFdfccMsd9zzwyBPPvPDKG+988MkXv/nmhz/8U/gDDDLEMCOMMsY4E0wyxTQzzDLHPAssssQyK6yyxjobbLLFNjvsssc+BxxyxDEnnHLGORdccsU1N9xyxz0PPPLEMy+88sY7H3zyxW+++eHPn6HnX78EGGSIYUYYZYxxJphkimlmmGWOeRZYZIllVlhljXU22GSLbXbYZY99DjjkiGNOOOWMcy645IprbrjljnseeOSJZ1545Y13Pvjki99888Mffv37lwCDDDHMCKOMMc4Ek0wxzQyzzDHPAossscwKq6yxzgabbLHNDrvssc8BhxxxzAmnnHHOBZdccc0Nt9xxzwOPPPHMC6+88c4Hn3zxm29++MOv//wSYJAhhhlhlDHGmWCSKaaZYZY55llgkSWWWWGVNdbZYJMtttlhlz32OeCQI4454ZQzzrngkiuuueGWO+554JEnnnnhlTfe+eCTL37zzQ9/+GfoDzDIEMOMMMoY40wwyRTTzDDLHPMssMgSy6ywyhrrbLDJFtvssMse+xxwyBHHnHDKGedccMkV19xwyx33PPDIE8+88Mob73zwyRe/+eaHP38Onv/+EmCQIYYZYZQxxplgkimmmWGWOeZZYJEllllhlTXW2WCTLbbZYZc99jngkCOOOeGUM8654JIrrrnhljvueeCRJ5554ZU33vngky9+880Pf/j1v18CDDLEMCOMMsY4E0wyxTQzzDLHPAssssQyK6yyxjobbLLFNjv8PwAA2EA=AQAAAACAAACdAwAAEQAAAA==eJzj5BwFo2AUDEoAANeOIIY=
26
+ </AppendedData>
27
+ </VTKFile>
CylinderKnMa/Kn0p32/simulation0680_Kn0p32Ma4p9/Surf.pvd ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="Collection" version="0.1"
3
+ byte_order="LittleEndian"
4
+ compressor="vtkZLibDataCompressor">
5
+ <Collection>
6
+ <DataSet timestep="300000" group="" part="0"
7
+ file="Surf/Surf_300000.vtu"/>
8
+ </Collection>
9
+ </VTKFile>
CylinderKnMa/Kn0p32/simulation0680_Kn0p32Ma4p9/config.txt ADDED
@@ -0,0 +1,78 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ variable BZ equal 1.380649E-23
2
+ variable PI equal 3.1415926536
3
+ variable molecular_mass equal 6.63E-26
4
+ variable molecular_diameter equal 4.17E-10
5
+ variable gamma equal 1.666666667
6
+ variable R equal ${BZ}/${molecular_mass}
7
+ variable L equal 1.0
8
+ variable xmin equal -5.0
9
+ variable xmax equal 6.0
10
+ variable ymin equal -5.0
11
+ variable ymax equal 5.0
12
+ variable Kn equal 0.32
13
+ variable Ma equal 4.9
14
+ variable To equal 273.0
15
+ variable Tb equal 273.0
16
+ variable theta equal 0.0
17
+ variable mfp equal ${Kn}*${L}
18
+ variable cpmfp equal 4
19
+ variable nden equal 1.0/sqrt(2.0)/${PI}/${molecular_diameter}/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
20
+ variable sos equal sqrt(${gamma}*${R}*${To})
21
+ variable vo equal ${Ma}*${sos}
22
+ variable vx equal ${vo}*cos(${theta}*2*PI/360)
23
+ variable vy equal ${vo}*sin(${theta}*2*PI/360)
24
+ variable ppc equal 30
25
+ variable xncells equal (${xmax}-${xmin})/${mfp}*${cpmfp}
26
+ variable yncells equal (${ymax}-${ymin})/${mfp}*${cpmfp}
27
+ variable Fnum equal ${nden}*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
28
+ variable tstep equal (-${xmin}+${xmax})/${vx}/${xncells}/10/4
29
+ variable nave equal 10000
30
+ variable noutput equal 300000
31
+ clear
32
+ shell mkdir output
33
+ shell mkdir grid
34
+ shell mkdir surf
35
+ seed 7
36
+ dimension 2
37
+ global nrho ${nden}
38
+ global fnum ${Fnum}
39
+ timestep ${tstep}
40
+ global gridcut 1.0 particle/reorder 100 comm/sort yes
41
+ region 1 cylinder z 0.0 0.0 3.50 -0.5 0.5
42
+ region 2 cylinder z 0.0 0.0 2.00 -0.5 0.5
43
+ region 3 cylinder z 0.0 0.0 0.80 -0.5 0.5
44
+ boundary o o p
45
+ create_box ${xmin} ${xmax} ${ymin} ${ymax} -0.5 0.5
46
+ create_grid ${xncells} ${yncells} 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
47
+ balance_grid rcb cell
48
+ species gas.species Ar
49
+ mixture air Ar frac 1.0
50
+ mixture air Ar vstream ${vx} ${vy} 0.0 temp ${To}
51
+ collide vss air gas.vhs
52
+ collide_modify vremax 100 yes remain no nearcp yes 10
53
+ read_surf cylinder.surf
54
+ surf_collide 1 diffuse 273.0 1.0
55
+ surf_modify all collide 1
56
+ fix in emit/face air xlo ylo yhi
57
+ balance_grid rcb cell
58
+ create_particles air n 0
59
+ stats 10000
60
+ stats_style step cpu np nattempt ncoll nscoll npave nscollave
61
+ run 200000
62
+ compute 1 grid all air n nrho massrho u v w
63
+ compute 2 grid all air trot
64
+ compute 3 tvib/grid all air
65
+ compute 4 thermal/grid all air press temp
66
+ fix 1 ave/grid all 1 ${nave} ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
67
+ dump 1 grid all ${noutput} output/grid.*.dat id xc yc f_1[*]
68
+ dump_modify 1 format float %12.5g
69
+ compute 5 surf all air n press px py shx shy fx fy etot erot evib
70
+ fix 2 ave/surf all 1 ${nave} ${nave} c_5[*] ave running
71
+ dump 2 surf all ${noutput} output/surf.*.dat id v1x v1y v2x v2y f_2[*]
72
+ dump_modify 2 format float %12.5g
73
+ compute 6 lambda/grid f_1[2] f_1[8] Ar kx
74
+ dump 3 grid all ${noutput} output/lambdakn.*.dat id xc yc c_6[*]
75
+ dump_modify 3 format float %12.5g
76
+ run 100000
77
+ write_grid grid/final-grid.dat
78
+ write_surf surf/geom.surf
CylinderKnMa/Kn0p32/simulation0680_Kn0p32Ma4p9/cylinder.surf ADDED
@@ -0,0 +1,410 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ surf file from Pointwise
2
+
3
+ 200 points
4
+ 200 lines
5
+
6
+ Points
7
+
8
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+ # Species data
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+ # species name
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+ # molecular weight (atomic mass units, e.g. 16 for oxygen)
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+ # molecular mass (kg)
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+ # rotational degrees of freedom (integer, unitless)
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+ # inverse rotational relaxtion number (unitless)
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+ # vibrational degrees of freedom (integer, unitless)
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+ # inverse vibrational relaxation number (unitless)
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+ # vibrational temperature (K)
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+ # species weight (unitless)
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+ # multiple of electon charge (1 for a proton)
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+
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+ Ar 39.95 6.63E-26 0 0.0 0 0.0 0.0 1.0 0.0
CylinderKnMa/Kn0p32/simulation0680_Kn0p32Ma4p9/gas.vhs ADDED
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+ # diameter (m)
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+ # omega (unitless)
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+ # tref (referenced temperature)
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AQAAAACAAADoHAAAbBoAAA==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AQAAAACAAADoHAAA2xoAAA==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AQAAAACAAADoHAAAjggAAA==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AQAAAACAAADoHAAAdRcAAA==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AQAAAACAAADoHAAANxYAAA==eJxFWXdcTe8fJzOFECEpmdl78zZSZEZmCSkUkbJn9grZITMre2UmO6ddFKpb3b3HuTcixO95juf3df/xwrn3nvN53vNzuZinR6PrGhBQujT0SmM9xFuHVW02TAePmvt775umxb6DU1WNozW4MjW1+5s7apRcws8DrmrcDHzn4eKvwk+/0Le/7yoxVd/ladu6StScsanFNV8FXuhPD+yYK8en+pahWfPkcD6f4/QmU4ajWZaBjwaQP1Uvi6Y/lSIRxdemtJEiNHqUR+YrCYreh4wUzZUgxrvjw/tNJVjCb0vxeSnG89ysk7t9xOhxOS0goLQEaR9/uJ7rVIJa9cJqTg4pht2QkAZtvxVhWNa8PFVIEb6es9H6KkX4Sa5STRSh5HXrd6feF2LZ0PVpsZ0L0eDk/oXD3xbgTqj3vC1jCuAfuX6ZNjUft/ePm1neMR+LfA/nuxz6jJG7udu7+3zG1qf3VhRuMyKavKvvRgMOuHeJm7ZYj9qX5nzfGaNDTrWvnSKeaPGB3r5Gg8gTMx58dNBA8/BWFVWUGoNXT7vSK0MFL1urDjsaqfCr0oXeS8OVGJxdy3Z6kQLC2AYp4LV2S5cxl+RYaHarlNxDjqo3XkTn3ZBBPXZE+6hOMowsH5Uw/p2UnZMUUUmbe87NkWBZq2N/ojdIcGTk+WPeHSXYlrlQXz9PjMwm3gWO68SQPwsJetVFDOEx55fArvrptXWPFSPR783KgI9FkPVu+sLXpQh9fKJK+5wT4YwzRYAIUY8XWpefLWT3XYjPp6fXP3upALGhi8eMn1aAP6lehyZm56N20x9tH03Lx/B+OTeHpZpwvdmMwAElRji5xMS9MxkgTb+lrPRSjxV9xi/nMnQ4Yjb16NxMh+9NHOpsDdSizd6c/ldPaHC2YeO7T/LUGPCr1/S45mr8ni1+/C1MBZu1BZJbKUpcpvDrrkSfivz99gcU8Lt+5WVPWwXWnfyt99wtR2D6zNFcDTnyV47gnx+Rody+kqxJTxnGPX711O+NFAfqrul9bbAUFSF17NLJ3FJ3rWg4kcwtaNJNvrODBNojd22XXhdjijBoMTu3EiDKrnlosxJkaO7GfF5XDF609pH8URGUR6cMlzYvgr2h/YVfF0QYmnhz1m1HEeTjNLMrzhRCX+RsmtyhEK01J1L6FBagIEXcbvXyApDhjN97jEdF2XJxbD0evh8SZfZOJsRsl7QM8DJi7bxRBEIGTHzUfJvOWw+7af3ucyt0aGvvKra7qsVtgqp2Bg0ye/e51LajBvrgHc/bLFTD5f2SWTUyVcgYMC7ngJ8Kni7+n7p8VmLglu2/rTsr4Rh48MC92wpINnbIv1NPAauRoVL5Bjk47ZSsUSYZvJ/1uj15swxl7fz2v/oqhZuhdlLX41LkrdK06VZTiq315xX8PiJBh5CutV97SpBVEOpwQifGJwfr0H7HxMiQnyTIEGPs/LZb4uQluE9Yo+xfghTCou77i2G/+uCyDHkRtHSMfkVAfJlmVbqI3a8Iz4d7nx0vL4QyzYZQsRDWu53nGmeYYZ5LD5ZHS4EgPAIKz6dXP25C5bKc+A5njJht9dCojDdgwKvgl3uS9Ggf3yDb/bMOSz6cqRhZT4etgZUbPFquZXqlQUjx0t375Go4jnnN1+umRuXGWWfPbVRhWULDn2lGJVZtTJx6Y4wS0We/d1PeVECAmbMCY7fWHn/rsBzfqs+KGdNQjpKGL/9MuSvD5AbuRTVcZFjmP/fYlWIp3qZU1BmxSYrqninXImylsGnVbkPUYwl8a4ZPeDVGwnRCjMV7upMjEaPvObvKOyaIURRz+vabKmIE9eZatSQ8vedvq3B/WozMEkr4YpQN6dA1cHkRjg6mSibC8drdU7jpItz8PGvF+OYWELAQxJjRWbhxHrFvXG6HL+BRpO2nWS8z4XADClQjKAvDqhjxcQoVbgO8twQ3Huyqx8ITK2PPt9QhpqeH7kqIFjV0f5op0zT4iR3lFisNNpa1HBE4TY3JAsFUuDpy251tLioEyTsSCCoR5aWt2rOeEh4PSityVymgPIDGq4xyhN7oUr8gXI4qgymT5CAgOtLmogxWAvFkaBXg1SonTYpNbV5tvzxVynRegt1W613HH5QgVBAaCXLNMZtSv4vRoG67k+HbxED/5Yp7A8WwO1htjPhjCYa1sKpzzqsE9PS+XyzGOXp8rYvR3un6n4iYIpBDI7dowfUbdGAWbMwfRBhuxsOcSsVW1mY0bxQytnQfD0GGa/FooWibN5jwMnezw/pqwUak2b178mivAZvuuk1ddUyP7S41Wqff12GT/qtx/zctCpTJX7a21uIbQfWQIA0CNcMdch+q8frBCHJUahg8qaGoICEqsK+yCj5O4T1EkUq0tLulc9ArYEp5PexGsAJR87Oz8VKOEZsGH2g7So67c+kVMjRMbrS52WEZHm4MujjKTYb6glFI2f1JMSuhu+TYDwmE47xEcHbBftnaURJQdR9qFqPJFLOH8oAYq9rV+rKLzO1X4whi0SWI+uidV9W7BETMRjs/KWY4L4XrvuVLHWuXYk9F0Df5HAt+9g/L3PneDNdFq9Zc7GhGM52UOAeP+ltepJ4bwYOIRfvGR0yg6rLzkxH+naUDuukMIKIe8f6nHk8f7a3ON9Izn9fBz7F9cvlJLXbZXlvVslQDAvZabtCAutKec2pM3DDR8MGswsL1B7KPRqjwtkrqJT+JEjlp7Y76zlDi8aT+0/6oFOz+FGyOctB3xy6Qo5tAHDlsPFovtzohg4oeT3PZXzm/I2X3LUXmJHoQEqh31HsVt1cC6rZV+0lAxJ8oE8kdjaiiiZmOiiEca3oJTH1HeIaXlzKdKMVj+ngjS1F1Sp1Od09Z4CwQ0oLFPSMfDtlsxtmmXYpaVTfjnVv/g2kbeSy4p41IaMhjvRCITCg7VnRoB8kZjYgKpbwmuSwpsdJPtZ69T4/DL70tWuKbxdOfGoZFEN+UbzmdcVUD74vz6t4n/KRppnu4GlQlrqlUmPl8dp9FvircS0gauSBNiW8Hkxc4TVYyXVEgeqcbiTIKUFUqfC7HISfHTatmyjGmz66hsxUy9Hx+okrVCBlGnG41s0e5FBPdt09OPPBP19JHrGs775mE4V0C0YJKSzZV/Te3ih1fCj9tEmNAZYqoUpz2dyMUKsXV2T4T254thTr/+g+/0FKWFy1IJGl0TW8L5nSf3LV9vJnx14xD8Zu9R53icec5vZDH8BvBRMFNGNs9vFHZfSNISJl/T2uAABM3AxTZroXlG/QMXzrsWaT6GW/Wwl4IDFq8qk8FRAOH/Mxvk2RqXEkeTZ5YjUHucQN2nlIBvfyfjLJVof+tO6N9ligxPHoLcT4FxgsPrsDR4fQT5ThJXF0UI8fOBctq3CF57WvslyRzggx1ShXVPnvK8K4eJaiM6aMUHh/ySQKQ4hlx+xSFBCsqNhfdDpXAURiMBEryrss3jWh7dtdticaMcOJSFudSPAygSlWK14F0cqXM/y3oVpMmLQushQ8w/+eXf+fMg7p4Oz8ebamsklz2bdqP7GpfjfhKWDCht5H5gwHURT5/0GNdXurWWVod9D3fT1w9QAeqQm93a+Gy9tlP2TMNDsxpuCSwuYblSjUaxnd9YCdXsbmoUDPFqk2YTgm/vlSRlfhIWJ/8SYHmgpCTPy+rR3b+I4fsHS0ecnhQ+DSWg7rv5j0ypKxIOtO0iwwJi6hhSEG/rXyLFJZWNEBJ2b9LIG1JDUOCjkFNpNNIzv4xZyu/gPhb74HPJh5tYWG5qhTXsvKIw5X+PU6rUlB0vt1vYTnRwu7DjJ1zZ4o8qpjR482dzovjeAgxqgmP5PMafWCYCfs01qMHnjWy3GjA2/3dVnZqYWA5WI+NF3YSBdNh9O2+seV5Wtxd0H9Ak2ZaELN863hcA/9th8/4/FT/559jdrVa0+StCqfqXXz20kEFgaaHlagiBGMljvOjKxLjFczfFCDhsuCyTA4B9vvkIOUjuFcrOUjoSNh1SAbZ3vSWG7vKMP1F1cVFGdL/8Ha4uE9SWfp71l8KYC8Qn/Qv3xm1d63VYqgQrHjGMwumO1AntGDG18cFuyssCC+vSyqMBQmXVhPJsqAoYeu67HtmBAkENoOisHYSD6vEavXtQfRsdXPRqQQT0x8jbm66Ub9jHSNsBQIb8GD+0apX4vWoGzC/1qlPOky6V4NUHx3IEKWVg7R4SG0yRYMBV0+4aAdrQFm1LZPwstanuLBBxEdJWmt9UMVyjBJDxnby1e1RYnXLUs7ZVokGNJ4eUeCUx4z2SzwV8Jk6OK1ULMfFhW1KFkXImc/IcNqNJjUZw5+M4SkNrz3fHB55PgtEBMmR5GLyWLvlzpEi5tNyZBys1CthkQ4OIycQ6+SBqb5EkszY4NR3vnuwBS2cvyyast4CITa3tzBdM8Ooe9GvpZcZFFXeBf9y2V/c8di+nwqxCXMuGWZNJzlDnZjc2fuZAfUpPNoYEPbgcbdBc/S4G2ktekL0zHvc/WvRFi12hNIAqcX+d7Y+yc81SOt0Y/ubQRrsnt5le/h5NcupahwPpIBQwcXN9XX7YiUWb3fky+coscvf447oPcFZsoicrALdBQCSv1eKHxsrkiOdxnDiBxcm0UHKQNvTVN8UdDyjWB22MhUkLD7+tSMdg05OPnPtRjbrRXkoJi4240MxkoorzP4JChBz+PUzivh/27o2CZd4pk9mRCw4YFgHC+uX/8efGdO39/34NtSMJPL0k6qZsVlKicqjoRAweXZOJna9EUuFYGlEsAAYAyIiZ+9r/lzP8KdHsLBI0CGLqP1FkjdqRZptm/7Q4EPXde5jdmkQRx/jixqtpzXL/BWihk8lmsBUaHEoKnbbIBXCLy+7/TtLiQlX1/dv3kPJ/FnB7lPBvl+BoQLwSc71pZ/EIbrgDWkCKThxnL5SECAUuVR0aLAh/kyfDNhy/qbfq3KwomlwfKLTJxiHRRDoikG+ZEKTP0r0EF4GZFMZe0rwQqaaKDPD/qanZI29heU3M8tdZoym8bu3GboIWmR45FAbDOEhjMmKh+Gp6/cSLxNoqorZZMT8PFVIhzIDvu+9NeheKwPrIXq2H9GBtpThDjoMISl+kJ+W9XsN3GlNG6WBnwtVEDXr2WrWg1WwHfiteed+KtZzlZg7gm5KFEwPFchdX2niyb4KTNh7bHH9LRy6CYTmMIfKYD4HG9vppLKkgAxFcl+cgkP9aYBIY/qeCcHOur9HZhgd/GeUiG2IwkgQTdc3WSqou87yj1xvQLqRBmoePzaEJC47ZEZGOn2Z/9L2tBmkNJHEb8brDx2Ik/CIKqQBhmd9iofJZcWl7NUmvJ0cRKqeEa1iGyWqOxhByJb1KMzA/F8Pim6bGnoIsXqUDsc96eZCi4zqlHlaLBGCpgaC7RB+nhUHkImo0YfWd5JvKx3YQKK1Cvuvttn5pK4K7oKwK+FD0PrGRQkH86mYrwEcXkrDlFMjONCWMmkZ99/8/voOh3qTXAmlU1gPS4UoMqtuy61pcL3kXv9ZVCbmkZR87uN7XHhnCv1xL5/NkfjETyfi0GrUOm+sEl1gAE2vpss8Lp2kQmXG/enUEMwgpSBo51wzy0dm3JlAGyOPryTlRXjwzJ9NkFZft6FxCxPulD/q7RNlZDpsQNT3celruhlwj9anPSSfpezbOyRRhwGTqOLpmH5rIdBBosFXu71GlxWEpy9/kAaqhmCbJN+6CsKlYrlThQzifrxIyc6dg5dH5qvTKzgIa7wojuV/Drto3I3jQN3TeIfw89vVI9bPOQh0HpbCcJuKG3FXrc8b0xApFJksBA4pW/Pt3QfWNwpQnbhdskjKdESN7EdhLq1sjIyHPIQx9zRDqJEe/3Jsz/P3+3x/xYOyMnEZj8ZHcq0XuPKYsv7mg4CNJuYXRtx3pkJtxAkdDWIGUHUq/KSHMJ42BGdURlfrQKc8sID0dEHItKwHayCs47w1uNWaFgQ1y71q3Lns9PvEdRUmYUn7iXM4/Dg5YWfkcA5N45b79BrKweQ4a+28URzr2xykGroQ43AlPohUMI71Tw7vo0aQJMsh2/0z/8UrBaIv80k3SMWD71QI0tn+MpudQy7IsL+csxHBeUG17dcXy+AtFDMNhLWb2cDwzEM4pppmVBWChRkXxw1pMOc1D7p97ryY+CSVW6L/JzLHkcRpgo3/l4YXmphASuvZpCAjztx+QxqiAXNjn1tvq2mAsEYhvinUUKJnToKh69DO/UULn3gt2rUtmDyyXIPHTRa/UO3QsJ6qxu+HB0kTUkOQvXCO+SPH8gCHT8EXLloIvgTbX8KBgIIgj4OV+cmGl4s50NYxYScHur24eZwD3VasfMyx3MKBqti+5SmYJ7xSsTvjXcK5gHScD6A3ng2aehbqc5kuidAk+hlxUhniaBw9rGH4NKCTEDh4bCUtMCuP/0/HhFpzkYcTXcOO50FTxiobHh3NkXfdppog1KbXRgjjdjTCZmgdr5hgA9vP6nFQeHI94LS/yZUoHU7Sdba1Di2Je6xYpGW+oUHShW4zPCcTPfP5uWzgvH9zWF29dkUDP475Dwd7YYAcDPynwL1rOPTb2KBWvbB/1wlroVAOfwbLXm2K5liuI/M93PVD2S2ia3TNX8aBblVfr0vBBrrGXp0KMtSdpjfp2DGBFuBsuDYtGqofkwdBpkcWwb7aD/fTJCdraXxfpGF7fgPb9/CIO0iNhYdgK/t4COsM3389My22855dGSbmgyYI68XNRnSynjAp7eP/92aGv2PaqEe4yM3p+h8dejt/2r57qQ5mGlfVWizzOFxWfZYWG5K3VWkxnYOEyj/hXzdBIDnQ7W0u4eG9jL2kaXCIzG0zzriSY3mXQ4exXkMfHvuHw06rcqZGk3knUjsnOPx7rhz487dcMqZx+NKHGjmHLsF0s8OxfUkKrtIaHZmKvqQVHKyUwfbOObARCJ2H8nknHT80KGa9Qw5yCFsfxGpY3zawPGdiPZQHTW+9/HnUje1BlI1HqTNtTjzLsSbW440s5xL/pDK91gDT9aIV5x7rmY/o2b5QB2Fty2v/021h3bD6H9/aEVXbEswxfHJQ4kJJUh0OtjWGkWjMofD53fcX7Dk8IWl5Vw0OQtx25Ni+m2O9hYNdy62ejp4cemtbEMRwyLKnTZ+Dm7CQ5phecKCfcnhsChzOWM0euCUVM2isnpmBjoIA5UD4OWbuRwi2OLMYdLt9MlSORVWlyys2a/CnqkOHkK4GfBtAkWhivsyDsn+pIw+hXpH8/3fPbsKozn9aVJQZIaxnBxuxJmzlx8VPDez3BwMEeobpYS8Irw6efSkSOAQLRZXDr3jz+7EkJ1QOCcmfMYv7LzfUu5qr3zSFw9K+pdf6DeGwjqT0Sf05COtAcOgvLNb//f//faEfSRXNXMhchEUCyWfCBRxqkRZymbz//3h2EX4wJDynP0/kcqznpiB5Ai0qqbAWBDWD9c8cKF2TGtzz/4hfJDUNu1uM5Su69/Xyl7M9twZXH1Z/4HVbD99hg9X510m+FwqgieU3EzbuOD/kDGdi/DGx39+MyKT0GWiEkcLyiYF9rwH/A9R7wLo=AQAAAACAAADoHAAAPgsAAA==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AQAAAACAAADoHAAAHgAAAA==eJztwQENAAAAwqD3T20ON6AAAAAAAAAAvgwc6AABAQAAAACAAADoHAAAHgAAAA==eJztwQENAAAAwqD3T20ON6AAAAAAAAAAvgwc6AABAQAAAACAAABQLgAANwkAAA==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AQAAAACAAACgcwAANxIAAA==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AQAAAACAAADoHAAA9wQAAA==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AQAAAACAAACdAwAAEQAAAA==eJzj5BwFo2AUDEoAANeOIIY=
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35
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