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  1. .gitattributes +5 -0
  2. CylinderKnMa/Kn0p08/simulation0099_Kn0p08Ma6p8/output/lambdakn.300000.dat +3 -0
  3. CylinderKnMa/Kn0p08/simulation0100_Kn0p08Ma6p9/Lambda/Lambda_14_300000.vtu +3 -0
  4. CylinderKnMa/Kn0p08/simulation0100_Kn0p08Ma6p9/grid/Grid_14_300000.vtu +3 -0
  5. CylinderKnMa/Kn0p08/simulation0100_Kn0p08Ma6p9/output/grid.300000.dat +3 -0
  6. CylinderKnMa/Kn0p08/simulation0100_Kn0p08Ma6p9/output/lambdakn.300000.dat +3 -0
  7. CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/Grid.pvd +9 -0
  8. CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/Lambda.pvd +9 -0
  9. CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/Lambda/Lambda_0_300000.vtu +0 -0
  10. CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/Lambda/Lambda_10_300000.vtu +0 -0
  11. CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/Lambda/Lambda_11_300000.vtu +0 -0
  12. CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/Lambda/Lambda_12_300000.vtu +27 -0
  13. CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/Lambda/Lambda_13_300000.vtu +27 -0
  14. CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/Lambda/Lambda_14_300000.vtu +27 -0
  15. CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/Lambda/Lambda_15_300000.vtu +27 -0
  16. CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/Lambda/Lambda_1_300000.vtu +0 -0
  17. CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/Lambda/Lambda_2_300000.vtu +0 -0
  18. CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/Lambda/Lambda_300000.pvtu +33 -0
  19. CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/Lambda/Lambda_3_300000.vtu +0 -0
  20. CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/Lambda/Lambda_4_300000.vtu +0 -0
  21. CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/Lambda/Lambda_5_300000.vtu +0 -0
  22. CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/Lambda/Lambda_6_300000.vtu +0 -0
  23. CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/Lambda/Lambda_7_300000.vtu +0 -0
  24. CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/Lambda/Lambda_8_300000.vtu +0 -0
  25. CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/Lambda/Lambda_9_300000.vtu +0 -0
  26. CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/Surf.pvd +9 -0
  27. CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/config.txt +78 -0
  28. CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/cylinder.surf +410 -0
  29. CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/gas.species +14 -0
  30. CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/gas.vhs +9 -0
  31. CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/grid/Grid_0_300000.vtu +0 -0
  32. CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/grid/Grid_10_300000.vtu +0 -0
  33. CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/grid/Grid_11_300000.vtu +0 -0
  34. CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/grid/Grid_12_300000.vtu +0 -0
  35. CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/grid/Grid_13_300000.vtu +0 -0
  36. CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/grid/Grid_14_300000.vtu +0 -0
  37. CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/grid/Grid_15_300000.vtu +0 -0
  38. CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/grid/Grid_1_300000.vtu +0 -0
  39. CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/grid/Grid_2_300000.vtu +0 -0
  40. CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/grid/Grid_300000.pvtu +41 -0
  41. CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/grid/Grid_3_300000.vtu +0 -0
  42. CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/grid/Grid_4_300000.vtu +0 -0
  43. CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/grid/Grid_6_300000.vtu +0 -0
  44. CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/grid/Grid_7_300000.vtu +0 -0
  45. CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/grid/Grid_8_300000.vtu +0 -0
  46. CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/grid/Grid_9_300000.vtu +0 -0
  47. CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/grid/final-grid.dat +0 -0
  48. CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/log.sparta +319 -0
  49. CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/mir.txt +3 -0
  50. CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/output/surf.300000.dat +209 -0
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_AQAAAACAAAAgZwAA1Q4AAA==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AQAAAACAAAAgZwAAqAMAAA==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eJzt2kErAwAcQPELrRw0xLZkEk0SVy5KO01NbNNykG1lyk5ToxRtF4WDlSlKhlBrceEikdhBTbY2jTblsgk5EIctEXH1/wjv9PsE7/a8riNPQK3s9CLiPw8zc1/ONkSUTNvGe7RWRJTM5xwb1x5ElKxydb/PBxBR0pSpnnTsIaKk26aIaRKIKOnPvdUmXxBRMtp3GtoqLUNEwcf0zsdACyJKKmzLxkojIkrq48OpBxciSjr6zI3rs4go6U13TPSHEFEyONh0oTxHRMl0LG/J3iOiZMGS3V4pKkdEQdVvKPWIKGnuWvXp9Igo6Y7NJO/siCjpt3galryIKBmN6HdHgogo+WRo/a47RkRJRUxjytwioqTOUry58IGIko7IVbNTU4GIgj7DyVRNOyJKrl2G4ykrIkr+bbxjiChZOBsK2xcRUVJl6P1U7yOipPlAO/2cQETJ0Y6Sm81XRJT8AVoWcfk=AQAAAACAAAAgZwAAFCUAAA==eJxlnHlYT/n7xm2ZiExEdo2MsUTW0YiOyBYRERGJkOUQERERERERERERkV0GERERkS2TdRj7Nkwmk63fM9/r97rerjN/netTn+Wc9/t57ue+7+c5Z8WFkG4nZulaYJLFx7UzdG247TU7i4m65lxx+LU/R+uaXU7RsaNTdO3gZquicH91rN84x762fG7nl6czXk3XNVML7zufp+paz790s9+n6Vq3En5/PpXvqd0jo1hTXddWhSduHj1G12q6p//VXI6ZdTzOWwTrmtvDgJ9+C9G13/ukfXKUzz39+mLS/bG6dnhFrRpzp6vfb36uxIVD8vpzgK2Lr5zntWPhg3fI+wsibKz9J6jfeb/SuuIU+fy0Ca27dBmuax2re5/JH6Fr5c+GO28aqWv/zKvfdPxkXdOG2I/rId9XbXXsmkVyHft3WL5bMl7X5lQamfXQU9cCZts16jVIfc8vU+2cBoxX5+Ogt+jt7q+u++hi64az5HpqLYg/ODdM19rsNft7x3xdGzItKXO8XN+HtBIPTyzWtYVNXQ/VD9W1d7mFv16YrWs+o/f84btQ10Z47383LELX5k+q7zV7ta71qez+/Kf18vt33qY+l9cFhfdWVUqQ6zwSEnhlk67ttc4e2CpO184OajFrZLSudW/ddV+bJbr2yCnDqo38Xv6lz2cy5Xc8FybsnDJN7cvt9dErYxeq657l4ejfVtZvY5Pc+qV8dO1u/TuN8z10rVdwSoJ9V13zLv7O+0wvXXN6GlJyi7y23Vrr9YR+6v2+9XLblw9Q17XmQPjkA4t0rZhvi1Fe8jpvS1TYhnm6ZrUhZvHSIF2b59g1tqns34Bl8XHTA9TnS/3gebLUBLWfRc3ct5QbpWt/mD/u/1TWv/HvhfGnZP3XTk9O856k4ic4qnq9yAW61qhGbr8qsu5T9pm/igtU1zXhvMmpJImHpdtjx06Tff3g1nV8Tbm+7pkRDtED1N8XfNLf50p8eDlnmdQaoY58b7OS92eXjdK1txa54+rEyHkFx19YLMdBR0P1jJW69uqHnN4/LVP7TZzeOBgxJnGmrrU+bPp09xy174NDEo/4z1T7wvWU8Go9ZaBcT8Zwu4ljlutalov92iESB3WTwlacT5I4rJI13eW45MPPaR0G7dK13Oourzsf1LVLbR1T+m/RtXAf2+mBG3TtpVdyyZnbJI+K5S2vJ++bapU9sf0eXXO8kP/7m2Rd+7Pn/joB8jqnhdPpPttln276d32zUdcm2mV07p6gfvdLolm5gxJ/NdOD/W7Eqbgr284puZv8PW1G/c5T56t8veNz+H6Xb/Le78HnmJShar2Jq7rZ5ttCO+jamETrRz5ddM2+o1vId27y+5ENzT366lrLpfWtRgzTtd1HzW9E++paQq07HT/7yfo09NhvKvtZIS2ib9wYFR/zS457ckvicdOPea2KjVT5ThyUKz7yn/cS751cHRd2mqPy/+PMhu38JF7mdnFe0iJQ4c+rA5a35kn+F3ZzmVFVjodiq5cPk7w/Obmh+6Rwtd+zF9VqsVjyuu+twNbX56l8nvD50bxC2cd9j99u+V3Wp/3I1kN6T1HxTj54T0y+4Sef294h3dp5qa69aJjt1Fhw4G50zKbVcqwRGZcYNlflF/F+4G7+/jtyHsnNMtu1W6Vrv2YXXrou8eKRFdznonyu/RrLOhvldav8R7El1kocPh3buEDideXXoWUrxOra/5ZR9vHTbtOvv67QNcsH/s0ey+8XHjJ5mxop8fLo9a7XKxSuLKrvllH3mzwzLxxd+p2c15I/AmtfkHx8+ebt0puCq6ft3HZVm6Li+2Zy5LTNkg8XKng9LiPr0LW9c4KDnHdokE2vUPn+Kx98K3yVdWzx6cGS0nIdwzZHxByWOEzfalo5XeJ5yGPf9t9LfGcutdBS9gp+XQ7o/0Lic3Tvw+U9V6r18U83zdk6QeE/dQxcj7wdZJspOO3U3yGoa7DCG/eNsXPnjFN4vvhlwPeXdZW/1Dfy9HnB65Db8rkf/3kbeEni881Oq2chEt/tWnisK5L4HtYq54fK4xReUSfZP/C5XsvsRnVl/8eXejj1S6jKI//3T6P+XqzwmXppU+yN31UvwZuemR+svQWPVtmUGS2vfd8VzDwueNbjRGT35YNlnw5H9wrpI/F01WRn/EBdO96167wf/VRekqejaub1KDNNrQfXG3061CNV1jPg1YuN7yQOFoxpOHaGxEvxGIsGyYIr1c8HDcqTeDqeUqLw3HpVf4jbjcNSnrl/c73gH9e3eeDhgt5zVVxQ91kP6jN5/tPb/PlZvirfk0wej38r8fWwe3oZh5kqLgeeCvE+t0zVWerliV0m352Jl+8ZuuejvlbVV/CLfOW6/SzveJrMVHWd3+G6iHvWjf37/t1Yy9eSFw7xFhYJS1R8wpfAob37Lf5Y7qd4yblHQZXT5LhyeUL0OMGrbeUfDn3vr/KJ7yM/Z6y1qrJCfs/1R9dsu2hVly4X+RQvsUTlP3nL9YIDvC7aYF59r+yr/R8vDn2U9TlkmhvaIEnVg3qbwuPPSN2Yl1zi+6u7JR7qZPk47VQ4wv5vD4h/uFI+97rfHotp8v+2t19nFEjeXq/b9X53ydczq8ybH5F6s+lswPj8FPX9z32T/p6doOoU8QUOVL0S2PPuKoVjR858vpMj1/t4SkLegnWqTh17ey+5pnxvXK7u9mmXqmNRpb0+V1ytcPFYqE2boDkKP9nvsJ9dtjeSelw5MTo4SvZ7nf+ei4OnqryFZxIXWXeCbY4KL17XPqdsOeENlgEpR508VV5urXzf7R/J+zM/uadWnq7wCdxcnxAZuTNK7Rvx+vPLp9u/ynqGHPucn5eoa026HK43fKvky79wGKfWS2+T3sZVrm/tk9GtSiYqPki8kVfwibJlhr/4J0jh8vgrJQ7uEl51aW3CrOHuulbyTdDXg4IXaztnf67QX+I7Inm5q6uuxZZ91+1YO+FTndwDPzrpWuebYXXW99a1U5/9X54foOojOqGuQ1bN+lP/ywPBBeoh5wef3l81Z1QzOf+hO8IXHZN97TLdWqih4HJ5jw82chynpTXsI3/fsC5q/bZVKs/Glrs/urh8zz3P1NcdA9QR3J20wLZmX8FFx0aeSZ8EF3dkmR5Z76Vwn2PMnKS9I3S1b+Tdv6tcy1/plutzk7d5yP5+6uAabil4/yLV4uJCD7X/6AZ4yzFLv/QbPaQOWrzslN1F8WbqBJ+7uihp7SA5v7jW16qaDlF8FfyhLnF96AryG5x+1jyrpZ3g2J7Xr1c/kjhfnRrm+2uY0gF8jnwAtyJqu1+tvVjhB7yizuyEU7MWKR5CneZ98B10GbwePCXO4TfwXuoMOE7c8PkV/69H/z5bdO30AnW+nBffx3VyXcTd/SWxe1YsU/yFPCvXyvmoc6ziFT+OSn41aZW6fq7P1NlxQ88VCh/BE+IS/rzcyX7vKMHFr3kvskse0DXrfaHzsyVfVxX4VDUTHBs5IKXIa5ni8y4fx375Q/YvpJfT7J8nK96JToaPUldsK+UNryjrH+e3/9aAIMUb0ensD9cFTsDrzvVtHeGzRteCrueffxyr8GPHuIS3ywQnO5wuePNC8Pnj80f7zHYqHL3ayPmKq1yfnWNqi6GC658fPD3xnegEiwEN1yxJE15SysO8yX5dM5toPWGNHHsOazh3XrLCb9aR+rS0isfv1SU+n/yS+WNL2bd+V4M65SxU9ah3LbfbjeU8T4219dG/ib9ftpuX3BaudDHxTX7Cy5vGWX8aKzwnKynOZ6zkW6CDx/yCzoKHu2vljuwo+9E/83crwbN901rbtXdTPClolH2/jqOU7vtt0v7TvQTHpm+yNF0tcVq6p8Nyt8j/1l/wh/Pl+thv6tbuBv8qKKXj31S7NsRG8FnAstbHlUpPUT/nHiwqnrtD4T/xxP7Ai6vkBTg+iFI+A3Ws1wv/andmKn3cZpZty8F+SofBY4kn9Aj8DN0M7pBX6AHyGp3COhh5HetUqp99aL/Fat9id0bM2bP0v3yS9SHPno5PfBq6UfEA1hm8By+ozy2bpvfy2CfrPTipXLjE78ZL/kM/yOtu/jYjI7YovgIesA/Oc2p1X7le5buRl4ILxCHrBD8A9+DV4fn+Ja6NUTrE4lDksLW60h+sOzyA72e94GU9mricaLlc4R/X/0NgYk6QvG/OXOsOCyKVbkvsllax2yKlG+AB5Df41HOlaadr59RxyYnXZSreFv7918CWLeT1F8vMuQMuyPWUcLdqe1L082ib4OhDgjOvhtr/IHk/eVBi5VWnlR6DL1qVcy/WXHDQwTx7QZd04VFd7Q7OPyv7a5Id1/ua1Fcv6/U7ctXvvg2JenBKfmdK3ySbqEx1fLMw8tpZObaun+HVN0XhGXiO7mYfOZIP8MJRi6PTk3eq8+tv4mliLXFQqabrI/tExWcHv/axs9yrcA6+QV7Cs+Ad+HDmtl3Pddig+O6jPSFLb8n69u3WYue0wwoPG0RFHjueovATPk1d4frAZ/CSuv5gftzxyJUKJ9Fd6H2OnB/8ifrGenA95Bm8kfzzXRF1YO82xTcTZ8Zdj9mqdPaknzLdO29TvB2+blHPJbfdZqX/qDfgFufxXUj1vvE71Dqsuze2Y1GS+jz7hR91/0TQpIc71b7gb1G3qEOLos3anj2q1p04/WCbNmDECcGrG2M9TY+p1+1L50R3PCM6+o5vv2oSn40WRWUdOaJr58MsXfcdVPtJvMS88a3/nZxfZPfWm8fuUHFZf23E7vR9Ko5YJ+KNI34dvIF9BOeoE+wfuAjfwX8jPuAr4KPJQivnLYnq99lXdNHdzMART2SfKlu6/dVqh9K/+A/gGLy8qdkdf/Olii/tsM9o2kGOFZ/rdZ8vUnUQHIfXg18tT5rk7Q9WvAYdj/+An4puom6je9HH6DR8VOoxv0sc48PCgzg/cBCfm7iEJw2Pjdx6MEHpV/wH6gvrUml31IRVk5QuhLdyndRZ6hH+AD4Rfi/rh5+DXoJ3tA5r+KO3r8TDiNTcX3zU36kX2d9555uEKx5OfVhm7vmmygql9/Gh0cvwF/jJ8mvBbU/L95238rxZXs7r6zi7gcNmKx5PvafepdwoOPnbEsXniFfqKfqauJ55seDmgw0KR4hzcIt6Dk+ijhHvnTs7rdLmK56Mr4gf0j8mblnwRNXP4PXkI2b3Nk1Wvi77AG8E58hncAd8wv/Ar4Dfg9/gHjrUqAuor7M+/LatyQmFd+DgYk+7BZPl98pMqzVs/Td6AbwmPtgn/FnqGvwEPY3ugc+RH/A5+Bt9NfxWeAd5hR96QnOJ+kH4Se890SPDR6h+F3wmak38gokSl0PbZVeqNlrpYXx9+kXf3QupvstT+fjoW5MnweX29Rd9djKqwzzh4VbN7li+cNa1susSp/TvrPyGH0xfDsodqHQ5fgU8Cj+FPMXf4P0D+2U8rzdY4Qz+bNu27ktLiu5+dto8LaKvrMfl8CZr3KU+ln424o9RCnfwq8Ev1gudDD8m7+HVxCd+AbwQPxN9Z/T7Gj4rWHFWcHHmUIfhjmNV/4L1xo8g3vGtqBPUBXQGuE9fgr4DuHXpYqi2f+J//Q/6J6OeFy46Mkj19c6+CvzulLfyJ371dvRs7qXyDR0LTv55ryDp8gy1DryPfumtMSlXXMap+INvE9foZPIAHtsxvLpDzBrVL/DaHzbzZIziNfB48gmfkHWiPpFHfD+6BX+M82S9yY+cjDDX3QHqejjC69FD4C687H3xOwutBB9Sjxe9uLhG4SDnCZ8ETzk/dB71CX1MHQPv0VfoiF1/vwh/FqziBnzEZ6GeUI/RhxevhzQ/NE750vyd/MbvIp8j9sZ4zZR8vl/7/i9/SrzcbppX64PkVfXBaY9aj1S4zbHPtpiA+d/UuyMDnEY3+aZvQn8Dn4vzRN/SXyMO8PnxR4gjrpt4Jt/oB+JX0leg34efD49gXeEb1L34ldE7EtYqPUwdQ5fAP8AN6ik6Dl8H3Mb//GLvtvr74QpPwAHOk3UkPsFfcAVfCF8MP5t4gE+RZ/SVyRPyCh/a2N94/SR/3bVAhX8cyRvwD1yjfpDvfA/1mL4LPhl1Gb6CPuf9vKavjS7aMi/27LpNqp6De+ho+DLxQh2kb0/ewnu15VZN1kWr86K+4yPAx+Hf6EN0llHPwU85H+IGfopvgz+L70Uc4evis9AvJk9ZZ/xi4hw/Aj+VukY94Hw4cj3gKbzD2Fcy+njgIv1TcJF4pb6S/5w3/Je+Pr4bdXeLW2qpnmEqb1g3+DR6Bd6KnqF+EMf4yPhE8CPyDv8PH19fXb/YoF5q3uVfFnu3k+qPjM0r2rpP1ntqYAt7F8GtLmVHPng5TvVRqWvsJ/UFHXU6zszmuPDIXgNtl4XsVXoXvII3uU05vK9VD6kLXXLyS3SVum/jvftFH8XT/lpXq9T0UUqnMC9Df5T1Z53hcfR9WWd4DH/HP8SnZ54JvkX/i3W07pRp3miS4gHwHngNuoZ1A9e4XuZw6HtQXxqkWAniyv4PdB5q3Vfxtoub4ieO6q36KPAV6oqRhxGX9I/ZL+o7fIgjPIY+HvMjnDf4DJ9ingQ9iL4CH+GN6DZ4OvUFfoKeRV+Aa+h3/Ah8AvgA+EP+goPwQXCTOsb5UUfAH/AZvcyRPIJfoNfAS3gYOAG+8L3oMHCXOTD6NOhacIXvJd7QL9Rp6hnxCz+Dh1EP6ZMxr8P1gYdGncT3sj/wCvgHOhk+z+d5P9fFeTewudal+lz1OfL2bUL1gpkS96WreV0q9g2PhL+wLvT32T9j/574oM/DfAPxwX6Dl/SL6JuAh1w/9QK+Qb8UvkT+0W8Bz+lzMi8Fb0RHgrPoAq4P34K4Yf+p/9RH/AzinTxirpB4wafAR4AHURfw88lL4of6YMxn5pTACXgcvBtegS9NfeIIn4fv09+mvpKvNhOS7k39xl/jSN1g3ThSx+EB7B98jj4L/jE4Tl0iL8Bx9B/4yGv4ODqQfhnxC/8E/+Hr4Apxja8GTyQvyC94M7qJ9YI38Rrej67Cj4IX4WfBcznCp/g8PBN/in1hvhE/C7wy5j/nTV+d3yfeeD95R9yxT/ha+BnwZfxQ8os5Aua9mLcgLyvO3J/cWfTXjMZe8W9cFX8hX9Fr8BjmwTy80m83kO+pVfWx4z3hGeVWJoX26a76o7NrDD/2pL/ya/Bzhhfm6+l91f+ZE6H+4v/Qf6XvuvnF5znJPVV957pSRjv0aD1QzVPg0zDvS5028mJ8T/QK8wXUJ3gzOMGReRB0MPmEvgAv0Zn8Hv9HF+I/UUeob/ANeA98Ftzn/+g+8I16STzBZ8lv9CV8HNwhL8B/4hcd0rhXSpVRm9T7qNP0l+gXUsfgwczHGPkwfIs6C16Cw/SFmV+gLpM35AXrBV+kPuDXwavhgfDe/GFObvXkPKo1uF/3STc1P7x1m83tfvaCQzfM1i5op2uLZx2ObfyL8LgOuf+8k9eRetohGyfhbXdNIxbL+56Htyhr31bW5XWJiSuaCb+p5bfjorz/7JGYzpOF55smJIzydFL5gE/o+mvUgCXf8EHqJfsL/4MHgEfGuQ3WjX1G3/B+/D14EX4IdRudAY4a52iYe6Uew1c5P/xx6iZ1CpziPKgz4BQ+Ct9rnEMBL6m/+AycJ78HvnLd8EvqFnNyxAtxyrrCW4gj+CF+ONcB/jLHi79CXqIL8MHIT/aL7zf68tQp/Dn6lPQHwCP4A/hBPed8wSXqFHUUvzX5lFnmmmFK36Pj0HnEH3qL82X/qJ/M+zO3yXwJc5jM+dBHZF6AOSDmTpjnRFfgBxBP6Ejm6Ig78AU9Cr/CX2L/8UM54vOUXGb58/bNSh/hj4LTzEtyXvip+EDoKfo/rAPzIfR54GXGvhnxiC6GzzDPS7zA++nvMXfO/Qr4+dRlfA94AX4dcY9fQDwZ+/b4wtQt+B51BJ4N34DPMS/OfDr+AX4luoQ6hp423keDj0Pfgutkn8EteCD1ABwC39CJ1EP2Df2Dfib/qG/Mnbm52cXNPCh5XdH1k9Nh1b8jL5lbYI6Afh9+oPE+LPIHP4R5H+IW3kydwx9h3+lfEo/4iOADcwHENXlKfWbf0T1cL3+H33Ce6E/4Cf40Pib8AP5AnBBv+Hfsc27QnpS+I1SfDx7GvoIz6GX6b/h84BJxAu+DP9b5/lnPW8IjEm+ViNvyzf1j4Ad6i74fcUO9AVfoQw0p86bPeRfJq/ITzmZI3V4yNXX7T+11rbJ9Xuk3HWQd/gz+e1sn1V+EPzN/+7/bz4Yo/gE/DTsX2WJhd3VfEjyheEHg28Ouiq+Cy8wvwF/RwfBOXvM7Zf4NA/ndTvdDLeKFL3eLTg5ydhD9dSDOxUd+p4Jbzp3CVpLP1V/aZsgxe1RGasU2sr9/FU7e20314+Df9GnYvwdVHnZ9OVT9LvvLvoG76Gb4G/WIeKc+oveZG4cPsQ7oR3APPgL+kzfocfgzfQXi0OjXcJ8N60p/mPvD4GfEEThF3sLX8Ska7ap+f7Kb6juhc/A3+B7qLL4TuMgcCNcFvoHb8Bp0IXnJ98Ez0MPwFnxA5vjBLeaG4E/gIT4lfCzUzO+3exJPVcYdPtd+iNp3/GD2jzqAP0P/jrgmL6hX6H3iibrAfCP138jTiHviHDzhvgnqHvHEecE3+Tz39TCXR3+b+w/py7HuxC3zN+A6eg/9hY5BX8e4Zr2p1Efp5V0L7Sp1ljxLKzfu8pXeKq/Yf/xR+jzMazAXgk8H/uJbGO/rIv7h98Q7+Ae/B695f5PfPu9O81f9DuN9c/Ai+APz1vAYvhd+QD7ib3K/E3hs9CU5sj/wMeIYXCEPmI+CN/E71Fl8IOoLdZX34ZPgM6ADl49Mz6jTWdZ/SMbVGt1VHhvnLMAV/D54G3qKv9M/ps6wXqw7+ML9QPjp+D/wQM6b/KQPTx6ge8EV9hNelvE+oPDMYHX/Hn4Pepz6dMUj62ZZTdW9ey+Lpm10VD4MOp7vB4fRH+gS5vjQLfyd62J/8aPpz4Gz4CD+O/0p8pr6A57ie1AP4CXwFHQJ/TLiGX7PPAe4i14l343z7fSHqPfUz5yoxIih39z/TR2Dn8M/WA/6nqwj/Ic4BieoT8Qrcch8ktHPg0/DD8Bn6hG4xn6wTvRjqOf0i8k/fAbiG1wx3o+Iv4tfR13F5+X84GHkM/yfuMbPo49Z9CXg4TGJ0y8mk66f7Kzw9J2fY8cGLqq/Ck+blxNRL0Le96e/QyvbLurzfcennmjWW+UD6wkPR/fjC/9VJi+oxjrVD6OegsvUZXQeOIgvQFzgP5F39B/pZ4Ir1BXqJLwQH494oX7TvyaP0EVG/KBOwa+p8+AffAZdR76BO+AJegy8Iu/QK5wH+ou4Yj4Cfkg+Ee/wdup4h7pev37wVnyL52ewXvA8fF3qDHyD9SPO+F54H3wX3sK8ET4jdQqfCHzneuEB7Dd1HP0LPoH36B54G74F9Y/9p2/CvjOHwfWwLuwP68j5wJvgq8QJuEvfiXkydCz8kCNzpvSViHPii98z9snBBfDc6M/hG3PfEnyH/jPzs+D1rIzCx3c3K5+e+k5/jL4Z+0KewGvBJeKC/jt1kPvd4afwSvYPfII3gd+sM/0w/BJ8PuKe+22ok1w3fIr7HW7e13/5a91/73eAB7FuzO1Rx/Dx8XHoa4DX8CbOl7oDLsBv8d/Be/pT9CvBRXALng9vYj1ZX3AcHY/uQs+DJ/AXjsQzfjh8ALwhL4lncJd4wZfEF4FH44/QBwG/4dPMffKafcRXIg/gx/SJ8GVZd3gN8YCe4bzBI+oOPgF9iVZ9XUZU6Kb0PHWOfhn9E+63Zv6ZOgteUm+Jf/iM8T5I4pT+DuvGfYTMB9A3x5+Hz8DrwQF0GudLPYGHMB9KfWTf0YPgMH/n/Ub+QDzxvcQdvAE+BE7iL+Ar09/Al6KfjR9NH5z8pm6Rx/TJ8FPp/8IfyTPyh3iin4DegmeR18wFMt9f4/PAmg0PCZ71tk0MP6VrSYkhW/44Izo+KObJvnQ5/51FVe8fU8/lIQ/AUeaFuc+MeQH+j6/NebC/1DOum/MFf8EH8o86DG6yrvgV+D/wZ+NzDcBV4/289Au4jxXfmucT4ceP6Zpao3+MqgusO/oA3guO0G+ijwJOEZf4HvAdzh8+z1wXcWR8zgs8iHUDX433vVNXmBuDj6A/mRd8csFs77JeCg94jR9K3jMnZ5xLgWcwt0JcUyfwedH93AcGD+A+O/ob3LfH/Ws8P4o+Dz4010n9IV6M+hBcop7jU/F5dDLrhK9DfeD5X/RZqGv4VehWeDD9O/aP+g8/5jX7jR6FV5PP+G7oRI7gDP0M9oX44oivRt8O/sL1kCfoOfrr6E7mHtGD1BXqLPyd++fo85Fn1DPu5+M+Ca4LHgfvQyfxPeQTvgT1DTygD8160XfjNThLv5fX5DE4S37jkzGfBl66+NUPWLhdzU3Di6hzRp7G9cDv8YmN9+kzv8F60Sehf8e+Mofy/bw9G7r3UfWP5wTgC1LXmcutd8YiZbaz0qXsK/qMORzuO+KIrsR/Jt9Zd/x38oN4JI7wH9lPfCp0B/nC55m/J47IB/6O32qcxya/0E98nvku8JG5ROb52F/4sdE34n5t3od/S5zga8B/6VeAI+A5fIO8JS6oW/AZeC/7Sh2Dx8J/4CXoNPQE68l6cN8KeI/PwX1szI1QB/CR6SOB/8xtwbPwjdCd6GJ4B3lF3WeOAp6MzqJ/zTrDD8hn4oy5LngrPgz+D3yV+3Pp2+EnEsfwWeITPoifDe6Dh8Q78674zuASeIR+pn9I/ST/uP+I/GNd238IerpTU88VZH+os/iS6BR8A2MfmrkY9Db4Be6CXzx/Afwz6jnqJXyFvhi+ATqVvhn8xvhcOPgd/I144P4d8ovzQA/BB428FnykDw/ukK/028FXfA9w2DgnA29CN3N/DnyCeQ7uu4E3cB4c4enUAb4HHQ1PY/2IM47G524Ql/jpzFdyvxpzkfixxAn1xfhcE+oS64C+Zn+IY+IcvOG5l/iX/XzTsm3dVR4xv40uYb2Mz/EBb8FL6ib3B6AjmOcJ22JS+9J+9dwCdMmEsfGF61Mlj5aYdzuV9t95CuaDeJ4afg73zxN/rAP9A+Ye4IPsq/G5p/wd3GYeEB+KOCc+uV+CfiO8FN+BOkkcwGfwk9g/+lXgId9HP47z4vepP+QlPi6/w/wM+IGORGeTJ+Q9PiH8Ebzk77wP34E5EOai8EFYN/pT5B/1E/zhvPBr0XnwKvQF+8fn4FHGPoJxfhn/HzyFt6PD6Gcan4NJ3FC3iCv8GfwX/GfqCHyb9eJ8jM+HJj7AGfxM+CA4j78JX0WXkmf8PriGT0ydpm7jU8AriGPj85Xwy43PlQSXOR/inXmeYldf3y6SvM3IefGo3Bn1/BOO0yrkzPrlgHq+DPPtzLuBCxc7OmzzjFd9EfQ4uE+8EB/EA/NHnB/8j/jE7wSnwHn4Cf4F8/c8D5J5LZ7vQr1Fz4InzGuBB+hE9BK8lrw06jDmmpn3gJ8zZ8n8jtFHMLsU9vNWH+Xz4ZvSp+K5iPAM4oG+AfvOEbyhzrGO5AG+Df4H+Qk+wetYD/IFP4376tCT+Of4acQnddJ4PyZ8lD4p/Ue+h/oJf2T9wDP4MvvDdfLcKq4XPsL1UmfxAcAf/Hb6Unye9aSPyXXD39FhnB/+AedpxCfwjd8hzsELdAo4xRwfPgv4gc9m5IXM6xmfx8lr+BV1Cd5OHcXH5rk1+GucB/Mx+IXwCeZl8NHhDfTRjf1i9on1MPpoPJ+GuWRwmLrH+fOafGV/8Q3xH4hv5r/5XXQKfBt/g3WAf8PT8Us5kif0bfClqJPgOnWePhT8El2IP4gOZp2oH/Bm/k/dhmdwvfQ9iVd4Cb4RccN6cV8c18Hf6deCL+hg9oV6TP+AuotPjm8AL8UPBR/xvcAHXqf2dp7a0Ff59fhT8DnmEtClzGfAY+nToAfII/xhfErmuqhL9DfQT/BEdCHPo0V/g8eHbL1jHogO9DlrmTzpZ4njosC8PQ5SLwa79Cwtr6cVm5GzuYns99WoipMaig7MirbW5XXQP8H3NjTXtctDM8+by/v3hLT4wamnmh9FN6BPyVv8D66L+IRPoAvBQ/AbnOOIjwX/wbdCZ6F78G/o11G/0Lf0yemT3nS8VrzIReln/Chjvx1exjwD9YI8AC/Rq+AD/JL7zMFd5mq4n/vRNdPNK13U3C7zd/gM6DD0PfMfzMVmpEe3CZR9Tdjzb6AIX6n7rPa5ZurvPefvX9Wuk/Ip6CsR5+gungsMruEbM/8DbyA/qb/wV+aO0EHGvseAL4Mr1dyu4gAew/5SF8AT/s/c0z/vHiRU2Kb6dzxHDt3Gc+tO/v7onOVx+d6jBSbvT0meNk4d5p+taz97JtTefEV0T2Hfpp2uSlxuLrJ7dkk9n2rb7uDVT9MlDps53BiXoWsbyrhW7JEleiLCrM/li6L7C27sbZutnsc4tKpzkXeOXM/hfPPi8r017OzvTZfvPXfybTETed+u1WEnb8sxr7Pt8ajrkhexJRwfXVXPg2Q+Hx7L8xHpR3DdF2ZZDd4l72s2Kfb9rjPquYo8Zw+8YC6e+sv9nfBRY98Y3AeXuT8JfOU58eAXdRGc/z92YDxVAQAAAACAAAAgZwAAqhkAAA==eJyF3Xm0V9V1B3B9EecqanGICtFUjRbUWocKJLeGRn2NRo0WnINRUDROAXEKVh/ORoOiYlBwHopAnKWgF3ECREUNESIGhwDOGgWixqn3vfbjWevrYpV/zrr33d+95+z93d89nIH+LQ++v/i/6mre2IPWveG2unpvbO/uc0bX1bQRf5gwdmRdvd71x90m31BX3+1x1YPfva60P5qy+tZV87vzZx4w7Y5b6mqjCTePW+2mujqu7Y7PVmiuV1385odnXltX187cZf7L19TVx1233fX9K+vq5bnnDN69adfqcc+YD26vq3vmTqkW3FlX+/T6fKeDbq6rbSec//j3ry7v9X3X+uk7z/cbMbD76PIdv79r5reXdb60rlqu77b7qr+pqwOG/MOor0bU1Skto1fdeGx5X///G//ZbZd02an5/d49DnnnknPratCQVe7+5/Pqalbn6ZMnNe85qtcr+1w66pvyMO5thhx+5Kg76uqOfk/t8PjddfXrzl2P3+TuMr4xc+dtMe7Buuq29Bd9h02sq1Ej1j5j5+Z+lyFnth55X11N6nreO/tNqqubu970/KaP19VZ/Vb66pCZ5XrcgOOGXf5cXQ2eu+5Hu82uq/sWHXrxnU/V1c4tH04+a1pdzRnwT3d/Oql8r2evjTbZ4ndFruTle8b9QOeFN5z727q6qu2E7Qb9uq5e7TxuzrvnNO/tNvf8i09u+jHk7aeOPr1cD176ycN7/2d5fkTr7s8+OraMa2Dr2aMPfqB8v2/bE6893bQ3dl7xgn1vLfobP+KjkcdeX36vH/R54pTnDr398iJ/+qmG7DZs1nVF3gsWbV6vd2+R+45L9znp7pvKe+CBXse17dc65uy6+qxf39FXtpX78LG43+Cz+19WWu+dOHbkgl3qoo+pA34y6omm3XjKvy178ZG6OnTmZZf+60NF/sYJ528N+PtZPSYUvbtPL66NZ2S/NzYc8XBd/XbsXY9/q9Hzi4Nf+OzJuQ3uOv/unQ3eravTu7485v75dXVr9z6bvPN6o7clj6362vN19c7g+7t8NqvBb7/NFm31h7o6fO528/6ueW7WklffH/+nb15fv+j0k059sa42a1nrxn9/pq6eGL9Bn12fL9813tndV9t3/1kFdxfOXbbG0McKztkT/mCPWw18eMOnLiryhqPV1zlp1f84tq5WuPysz3qe1Ly3pU/fB8+oq5Xn7XH7xF814+v16KBpl9TVpotnrXHXbwpvrDfwpS+vuqrwCT2x93/pcVqj+qJPOGhH/WXj6uqZrsd0On986S+8sGN4Yf/a6XPbFVpX20/Zau017i/6Ztcnzzz59iF31dWn3WcPn3JvacnH7+H9oX4T9vrk1mIfqy+9qHfr5MID2pUmPNIwcbEv+Phxy5w59zT9+GmD5i0fLXjxO9fLlty2eZcn6+ql8X879Pgn6qp721cTjppe9Liw+7uDLphaV1v0ameSutqt7fXp10xp9DLkmu22e6TwymNjh35y3D3FHvTn4Cnv/XDwmDIu40x+Jx/y891TO/fa/82HyjjgsAHFsxe+UFcXL7q6b58G3y1tu57x+YKCc3ZHPmnvcIg3vhzw8cIjbiy8gW9al+7QfKLwufvsF2+lv4HPxLfv+y4/SV7k4b30DyfwhJ/h/sURk6a/cEFd9ZkwaMHJF9fV5NY1W/6xuX5i5hdr/ajh6+tb+vcefn5j/yOufW3lxn426LhR/Dh5wD2/QB7Gq59wsMfMOwevOaPwCvzgB/4H7nK8cGB89JV+nzz4Z3bO/tk7/7tkUaeGKYo9wBH54bED29X1bF11/PnJwltadqq/3osPXNOH58iN/tjHB+P/NPTG/y74hCu4oU9xScYn/Bt78j72ya+SO7/ETunBNf7GA67plXwmd9+yoebiD/iXu8bvuHWnxk+0o239PxYewR/80vda5+5V/7HY7Rs9L73vgAXF37w8+drbey4s76efc8c+M25246dWnnLE/JueLjxwfIcACo+5//POB+5634zy+2mDP3jtij838ciAC4887OW6+n7r5IEfPVP0Sz78L7zQI7+AH7RwDJ9wcGvr1m/+9Yq62mHxxC0WDi8tu+T38AW8482Zi6pbXqlLv+CVPPfufEq3s+c09tu2yZXb/774XeMlpx1mzjho3u9LPIiv2RW742fw8sUtwzbfp+l/74E37PDlsMIXl/W6dfiyJq7r3qGgJo7r+NfwwPUzRt5yXGPvU65uIpfCc/wiebDLjAONj53pn3ga/sS79Kelb3hgZ+IodiKexLviPDyJP/G7lr78zvvkL3iHftfsts7+m19UeJf+xZGHL+1yy0aNX2iCkfe/M7ThgXnbTHv9pBI3k5/f4W394z/wD/4wPjzKvvE0+cI5OeELv2NPeKttRPeG2sr7xBX0h0/wq+f488zL9APOfYe+PAcv7M19POs9+qtf3mecxgV3+ske2Bm/hZ/gyfj9TlyCH8UjcIrP8M2JY99uLKjYI3sVH+Ib9se/0S+ckSO/Yrz8IlySE/0YV8bneNo48AdeF0/hdTzaZ8TwdQe+VPwB/j947CqnHv1eE193vqLTXq82/qrfD5oUojyPl8iRf+K36E3+mXEpP2fcWviDB3LAP+Kcl2a++r3TTyn5xKGLhxy01y8Kn8kv2Jv8kt/FY3Cq3+l/08+7T99wJd4QJ8GjuIC++E96wP/w5D4csiv9yDhL/CDuw29wpM04PfMgdoVf6E2e4vsZ15EHu6I39zOeJB/j0/L35Ewv6Z83/V+BfB1fwCc7hy/y1/oue8+4VP/hkJx8P/NdfkKcx7/wK+QuDvB+chGv4Dtyw7fknvlZ+ln4Yt/4aa3OTz//549Lu2XXfXdetPrUasmMbmv2bq5/1X3Ym21/a/xMo53DP2jGs+Kex7/eyLPqd8jdU99t8DF30C23flTyMfyAB9urNCv/pa4e7jn97HeXNbw3o/dHq3xranV0w5o/WXnq198dNXjridt81vBYexj819LqBx5KHpU3ph7Zg/hBHKp/8kX2hM/Ep54Tb/guHLJncTPc+g55dFwu/ma863t4F/59x3XW8egRT+J5/ck42fjh3rXvuCYH4xB/ize15KaOJG53fVnXqQ++Nbv0m515v360//WEeUUOrv2eHNWjUn/qW+THDz2w5Is5p71V5A6npyy6t/fa7zd2eU7f/jPeLtfnjz9h2XVLGztc8u1Gso1dDmhn/PJ+3zVu/dNfuMQvxuN5/dXidbiix8SVFg6y7ue+5/yen0h8Z16l//xR8iiewbPiJS1+8Xc8hG/wFz7mP8Q5/JA6nbiX3846nfocHpaf+U7WxbN/+sVfLS8OIl/5XcpFXSvjU+PMv4tb5X3iU/3zd/IwbvUN9XT3+Qu8l3U9fiv5wt/JSysPJF9yFcfz475HnuI5+CNP/gquxX/4A07xFr7C5/yY/uqHuIR8xTPiZPpyDWfGRc7khefYsxY/iev/v3qFPDTzAv4Vz4jX2KPv4QvPwzF80BN58Wv07Dm4En/ALbmxP/KgT3EHu4Jbebg6lPkW9Te4VDcQ56h7mi+S/4qz2bk8fI/Fl1cbntaMq2XLk945oRlX6ws7jTyxxOf4QNxkPFlPMd6s45475d6h888rPKM+e2A77M9q9NURKJe6h/H4fcbB5CV/dh8e9SvxSS/s1/2s9+V8hvkL8hY3wrs8Ev60eB2vsS/2jLf0I+sf5CWf8n11DPmSOor8i92xU99Rr/CcPF+dHf7E23BtfOxAfIdf2IF5N3ENHmdPeIZ8vC/nOcgHL+onebMPdRfjNS764Q+zTokPM35L/4VP9Q+vGJe/ew9ekz9o+SW4lJcYFzzyP1r2D4/us2/1LvasTsje2JV5N3jQyqv5NbjyfnwCN5kn8efGzx/Jy+DIuPEXO9Mv+GZveDLrleRJr5nP81uZl/CXOf8vvsJX+AF+2L3+u9ZPcqRH8mLP8Ki+wq/DAz9gfIlTuMv1CfqL97JlN/gv/Qd79x64FTewX/4x81rPu+bHxTnq3n5PH+yK3uCFnvAH/dKbPCbzP3FC1inYt7gg8zn9MF7jSznzL/CsP8ajzsIu2Ck5qxfDObvHx+Yt4DL7ZTz6n/MT4sus4+FFeoZDeOVf2X/yi7jXc+xRP9kNuYl73Bcv8if8R86fsgPxBL5T/1PH/3mPH3R65LSy3uWKIc8svPb4Mj9C3vjQe/iLXHfD/slRHKkuI9/1XnGTOqZ5A+shst/8k7wJL5A/OeORXO/gOffFPxlfuYYjcmT3uZ6KnunX+PCaeENcaN6Df+kwp6Fl3PyL+SfzKPxPzpvyI3CpH6kv/KklD/M83pv8zK7wLDnhQ/KFAzzmef4FT4gH8Ahek7/L7zP/wj/sFw/yU3gTz2Wcw2/qv3xZy470lx3iJzwK3+zWe9kf3mWveM/9rLPDG7+FF9hx1qn50fSHcJr6yTzJe30XD+Ndesu6eebPfo+n/B3u2AF70eb6HrihP3xNr7n+T/4KH/StH/BKLlmn4S/whDhfvMT+cr5XfsX/ZJ3HuPGG8aV/yXVHWceGd3bkPfCSdSv+CR9rM37pH+teU594Ao/7fsYV+q3NdVb0k3EFOWQc73vklusI4Zj+ljdfAI/Gz197r/xP3OAaf8sD5X/wy8/gW3aBV+CM/PQXztkX+9d/8oJ31+L+lDv7xBPZ+o7f40f1KXrJeCjrJXCRvKCFN8+zO3Knp6xniJf5PfaljsIvWi/ALuVf6iniF78Xn4hjxC/qNLNbP9j4Z2c24106v9F0qb/wx1r9YP/uZ/7nveIW8678uHF4nzoPP4tHxDV4I+PirHum/eCBXD/JP+S6MX/P+cqcd5Y3qT/BMx7ld9gNfjQOf2cn+A1e4AjveL/43zjhP+f7c704/+A5fCS/MR54JHd6ynhYvEWOuU4Q75CPuJTdGCd58Xvex19knQFu9eP4Cdut+9Ivy/rhRlhfzj6irFNa0LLaxd2OLNdbHLjJs58fW577tPX+faY3f+/fbczkjw4qz4vzrXNiD+qEGQ/yl/Sb6wDxz/LWbdCzfMXzrsVfWUfDp3g019Hw3/wxntE/3xEfwAWe8nf2kTzlvTkefJnzRXjQ9/Br5mnwk+vkvIdc4Uer38m3rvkz8Tu7lBeIV7LuJC7Iujz+4b/NF8rr2Cn94g/+nHzd109+VF0MH/K3+inPy3W8WefBB/JL8xFa8xrW7ZhHlJea5/S8+of4U3zhe1kP1+Y8Dj7AG/SPt7TqPPa75DoNPC3+1S/jxpvyKXmS8Zi/Nc+DR3PeDB7FXewv8SLOghv6yTgKv8lHxQXkwg+wo1zXYD6JPNhVrs8nX/GeeE38wI7xNHvDy/pNr+zI73LewjU9k0+uc4NT/JY4oDd+X0sf9GndmXl78//m79ildQrm4+FY/Jj7sHJfCL3TD17k5/AqvbN7eIQr/KAfcC1/zjxa3kPv7otv9FO/8ZTvqutmPQ9OjAc+6JkfVo/j3+g162nG73m4hxPxhPhRHJH7x3yffWV+zt/gFTie2rbjkc8PKX67bcK63dc6uvh9fp0/l8eIpz+ce9SlZ1xYxi0+FRdbRyhOEG/j55zHF0e5L77JvNh3rQ/evmGh9QeU73TQxOEN/zx126GvHdbgquOHJf4xDvG3eRTvd+275Etv7A2e2CN/lOsU+E16zrg9687iEXpkN/xz1sng0O/gyvvIVd6gLig+g6Ocx2Wn+qm+Sj7yGfj0Hn4217Hgy9zHhXfFNa7ZpffJA4yfvNUB5ad4y7ohehIHsUd2xq/AFb3hffpzLZ6DH7hmF+Qg/iAvPJ/rdORL+A/u9SfnAcg11xPkOnzyJAfz27n/0HN4LdcJwB9/7f34ST4sX95v4PC9dvhlqTezK/pnL/Qmz3Kt3qCf8racl4B/OCJX+Mq6VK4/MO7cN+e7eF9/2UXuv4VH8iEvfJx1Sa3vZz0bXtlB7pf2HX5W/kAu7N9z8KrOgAetI8HX7DjXWZCn93uv8bmf8WuuB6GfrGvl/gbvZ5/sHt7hD6/Qp7wEv+M79RZ5sPHOadtgWKdBxe9N6nXcg4cdU+ow8nhyz7pH7jfMdWDG5e/q0eJF8sn9Mvg648ic3yMvcQm8ykvETfAsvs91+DlvlXV6/hkfkW+uWxKXZ3ye8iBH34VjPME/eX/ybdbzMj7wPB5m/75PTlkvFz+zP/qEb/LI/YjkoV7Hr+Z5DfSMB8X/GRfwszf3unDM1kPKOi986r74TOs5cZfn8DJ7IB9yF1eI6+UJ6U/xMr9MfjmPTW/0mPPC/GKuq8m4Cz/AC/2pd2RdLPGLJ8iXn8d/5AxH9IV3cl+z/vgOXOtHrsuUX+ov/JA7u9a/rF/k+RnkzH+QC5yTH5x5r3og+9GKO7OukPOE8JHz1/yi8bP3nB8nv/SD3iPupHf9Mh5yYUfp3+FC3LK8fXnqGPLY3CcJ71mHy/3dOU+e+4CyPqduLC8V7+S+OHwtv1Wv4d/hip1mPkDeeR6J+h0/yK/BVcaVWX+G81wvknG6/uU+auPGu+SRdRl6yf0cy4sH1XFy/XPOB+T5KXACh7lvLs+dwbu5/pY8yTfzeH48+URdQJvravJ8i6zz8N/woi4HN+SnLoKXyFG8S36u6VHdjh34O3vKdfTiGnInR/02Hn5HvMAvyBfk8+Qtv1Tv4FfJ3zW+xN/wj6dz/T+cskNys9/E/I/6vt+zD/ErHhAX5X5p46XX1D8+w3eJC+PBi/DkvXAnbhCH+B25iMfFG4kz9kqfcM9vLe9cJbyV/pn95DwGXsx5fji0vt++uS/3XGejvh+W/Uavrzhg/4l/aeLkDgCU/UzqgvoD5+rgybPim1x/mut39Nff4TrPkYALchUXZn0r1+GTU+7nNb+e+1jxo3Gxb/L0Pq24FY/wX/SLp5Y3n5PrDOEMn+U5L+IAciOf3PfOr8h3ch10zlviA9eey/ONcl1K7jvIc3T4F/jIfWv4QB3YejLzH/CHf+nDONkDvCxvnxAc5nxErrPL8xXEg/garvhz/OR37tMf/89vuSZP38Wj+J89535o+M71i/ClzfUv8Gk83iOfw3v4Dc/CTc6vanNdJTvjz9T7xSfGJY4TB5Or9+hvrpfLug7+y/1HeJZ/dc2O83y03L+IL/l/+PR3fJ1xmjg25x9y/SCeIy/6h0d6lU+yV3qRV6kLqqdoJ045fVyfE0o+SK/yM3mPfUdaeaXn8C65q6fSe+Io9537e9b56RNevY++3c+8hVzgj7z8Xr4LH+qvuT4FL2XdSJv7XuEkzzXI83cyv2K3nuO3xDMZh/Fjxk9euS8Fz/Aj4g5/Z7dwkvvY8Lu4UD0D/4vDxVn0i+fFI+yZXfH75M6u2GfGs36X/kz8qn/qL+o/4lX24VreBcfiV/3POlGe/2l8uX4lz1GgX/V5emR/8hb2R64fzHzshxMGlXMF6Wd568uWtx4h11eTc+Yd5Jz7tTOfY9fsJ8+9yf0acE1fGb/Rq/5kP9zHfxnX5vpL/cv8DL+ST+5DEaeIm/LcM3LMeC/Hk+vt8IL34BPyyfm3nD/JfY34Odcz4331WDjBJ3muif6RA/9kPLm/Aq94P3tiN+xIXA8/5JXn+LD73P8o7uNPxd3WSVjPIy95oee40d95u5yjkOsprA9yrof8Ur4Jf+QAN+IR8SC95rmn7ud6QHpN/y1ug9PcJ45fEg/qSfSHB3PdHRwnHvUv91FlHdz7/d39XBcNl1lXdz/PT8t1IOTKLsV5ea5crm/J85lznxL9+V2uqyfvjG8zH+c387zJPAcTbvgtuMr1t/IJfiTXI9F/ng+d54yqA+S+Fq14Fd+zs8xn8nzh3GcurtCvrKvCY54rmfNw5MCe1ut4cRPHD3h0u2VLit1qnSfAXuXf8ro830Z+iDd8L88nhYc8p5D9wCf/iKcy7s/9SdbdWa+Fd3I/k/HrB/3JZ3J+NfNKOBVHiAP5AXrLuBB+1Z/FF3lugXXu4gx4oGd61+b6T3JkB8YHD+wTP/Hz5EFv8sflzR/iGePLc0iNVzwqfvZ7rbhRm3VL8TL9GCc7Mt6cB0s/i3fwWZ6jR56+Z9zic/mV/uGfrEfiJ3yR5znTR57Pw57gGX/kucbiMXrPfWgZX2V9Me2PvaqjpV2LG8QT1svkOkP9zf189EQeWUfLdUG53ir1k3jO/RPwnft53c/4Fh6Wdy6C1vPixtyXb5z8TJ7Xnn5G/pnnC9FrrpMhB+PFR+SJH8gBbnIdvXGQI/n4vTyJXvjjPHfO9/lHfKceih9zfVfWwdTr8a54jj3zm/KHPN8v98WZl1enFO/CueeyLpJ5IT62DlQe2Pf6OyfM+1lZX9nzwK/e2L65nteu7r6NH37qoqFdflquz+wocDXyvvyILiceVfLhzOvJPfcz5rnY/JnrPEc14yxyg8tcVy6ewOPqnrn+VH1Cvp71K/WonG8Xl8FJ1snxpRaePQ9/eDf3c1uvq6VHeZE8SX5v/Yd1sdY7WRdrH4/7p/Zo11AZN3xr5V3iALyGz+g1z8vMdc94BH/iHbyszk7veW4Iv0Dv/m7dE7tgL+xD3ubcOv8PxEYjHl7wxYeNnazYvoGj4dsluzRdn1rd0XPhwElN27Fd6styPpV5qH26rn/s3k082X/Rc5vP/7T8Xus8xr4DXuky7auGf8ZfMv+YFaZWj53THnhM/fq5t/bc9qvNvmjspt9Vw/qtVP7uPEjr88Wx4j/jNO6jun46/Jw3yjl9zlU0ryavzfU95C8ezX0gOa+jjo1f5bf4K+OA/wHzew5yAgAAAACAAAD4IAAAbxkAAJMHAAA=eJxN1FnIBXhZx/E5nN7eTqfTKdtsUVTMkkHUZCqz0FJzwUxCypUQkQqbTLKUitQZ932ZcdzqRIRhJQVeBFaaRXgR5lZWSpK5VCaKYopGix94v//zPFffu+fq97nmmt/+i3c+6Bn3uebL9ze70+pXfcNvrX7cbX5z9bXf9frVn7/b61a//Qdeu/pF93vN6p966KtX3+ERt6z+5ONetfpPnnjz6ht++abVP/b0V66+9fNfsfojr3j56je9/mWrn/aGl66+7x+/ZPXXvuXFq//pr160+nff+cLVT/qHF6y+54efv/or/vN5q9/1ueeufu3/Pmf1E77q3He71bNXf+nbn7X6r7/zxtUvu+sNqx99z2euvtN9n7H6w6/5jdVPfdOvrz68/VdX/87fPW319//7r6z+2/9+yurHH39p9Rfv8OTVL/3eJ62+44OvX/2Wxz5x9cOe/HOrP/asn1n9a69+wuqv/8PHr37D2x63+gff99Or3/vxx67+2S89evX/HB61+pW3f8TqO1/3k6vf+sCHr374Y35i9See9LDVT7/xoau/6ZaHrP6D33/w6vu89YGr3/+eH1398x+73+rNF39k9S1f88Or73K7e6/+y3v80OpHPOBeqz/1qHuuvvEXvm/1t95w3eo/uvkeq+//xruv/sCf3XX1L777Lqu/8qPXrn7dF+68+u777179jtveafVjvueOqz97/zusft4jb7f6NtffdvWbn/Edqx9007et/tDv3Xr1U/70m1d/9bu+cfXpX2+1+rrPf90w5DjcOAwr9sOH3TDhcjhwMba/HXvfrP7MQ/7vbfU1X7brXfd+5tXf02p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsOhtyHG4chhX74cNumHA5HLgY29+OvW9Ws6tm17uvu+Hq72k1u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdp0NOQ43DsOK/fBhN0y4HA5cjO1vx943q9lVs+u919549fe0ml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbvOhhyHG4dhxX74sBsmXA4HLsb2t2Pvm9Xsqtn1vts/6+rvaTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p2nQ05DjcOw4r98GE3TLgcDlyM7W/H3jer2VWz6++/5dlXf0+r2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs+tsyHG4cRhW7IcPu2HC5XDgYmx/O/a+Wc2uml3vPzzn6u9pNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anadDTkONw7Div3wYTdMuBwOXIztb8feN6vZVbPrH7fPvfp7Ws2uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdZ0OOw43DsGI/fNgNEy6HAxdj+9ux981qdtXs+sAXz3bV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2XU25DjcOAwr9sOH3TDhcjhwMba/HXvfrGZXza4Pfvp5V39Pq9lVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbPrbMhxuHEYVuyHD7thwuVw4GJsfzv2vlnNrppd//yx51/9Pa1mV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrrMhx+HGYVixHz7shgmXw4GLsf3t2PtmNbtqdn3ogy+4+ntaza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml1nQ47DjcOwYj982A0TLocDF2P727H3zWp21ez6l/e88OrvaTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p2nQ05DjcOw4r98GE3TLgcDlyM7W/H3jer2VWz68PveNHV39NqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7DobchxuHIYV++HDbphwORy4GNvfjr1vVrOrZtdH/vzFV39Pq9lVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbPrbMhxuHEYVuyHD7thwuVw4GJsfzv2vlnNrppdH33zS67+nlazq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tm19mQ43DjMKzYDx92w4TL4cDF2P527H2zml01uz7+xpde/T2tZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6zIcfhxmFYsR8+7IYJl8OBi7H97dj7ZjW7anb92+llV39Pq9lVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbPrbMhxuHEYVuyHD7thwuVw4GJsfzv2vlnNrppd/3Hzy6/+nlazq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tm19mQ43DjMKzYDx92w4TL4cDF2P527H2zml01uz7xwldc/T2tZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6zIcfhxmFYsR8+7IYJl8OBi7H97dj7ZjW7anZ98pmvvPp7Ws2uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdZ0OOw43DsGI/fNgNEy6HAxdj+9ux981qdtXs+tRTb7r6e1rNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXWdDjsONw7BiP3zYDRMuhwMXY/vbsffNanbV7Pr09Tdf/T2tZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6zIcfhxmFYsR8+7IYJl8OBi7H97dj7ZjW7anZ95vGvuvp7Ws2uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdZ0OOw43DsGI/fNgNEy6HAxdj+9ux981qdtXs+uwjb7n6e1rNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXWdDjsONw7BiP3zYDRMuhwMXY/vbsffNanbV7Prcj7/66u9pNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anadDTkONw7Div3wYTdMuBwOXIztb8feN6vZVbPrv+7/mqu/p9XsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZdTbkONw4DCv2w4fdMOFyOHAxtr8de9+sZlfNri/c67VXf0+r2VWzS/8/okdZO3icTdRr7OiFHMfxc3Ycx9/f35/CcjktLaW1VmkhMVGRltaskS6zs9awJE1omFKhiNL9/jezzKWxeWCLdWHmgZHbGA9sITPMxqxUK3pt5/39/x58t9ez76PPe8uWLVsOOuC2+x456pajn+KWhw+9dXz/a24ZX3nszeN3nHTTeN9Tbxz/Y9cN4++ec/34kg9dN37rRdeO97rimvGfrvni+K7brh5feOdV42O+/YXxs+/+/Ph3P7xy/JWffm583m8/Oz7ywSvGT/v75eMH/vOZ8S1Pfnp89jM2fegenxo/9uLLxj962aXjqw+5ZHz6kZ8c73/MxeMHb/7E+CN3fXy8dv9Hx1/+9YXjV//1w+OfPX7B+Kz1D44f3ff88VWvPG+83wnnju8+85zxyee/d/zQZe8ef+yms8fP/eZZ4zvv3TV+7a/eNf7lX84cv+ex08dPrJ02vvalp44PPOLt43uOP2V8yhlvG//tvJPHF1160vj5N544/sbXTxgffc/x49/84k3j9z107Hjro28c3/isN4wP3uf14x8c/rrxqW8+avzP044cX/r+V41feMkR429df/j4uK8dNv799w8Zf+DnB4+f/ueDxrc+cuD4sNWXj3+89/7jM16x3/jfx+07vvyd+4x3nrv3+DsXv2T8luteNP7DV/caX/C9F4yf+cDzxht/3GN8xMPPGf9kZX28a+faohWriz6sLJqwY9GB7Yvtb1vsfev4Xyf+7968ZcuX7vvvYbfu/rsxvmHPO8a7dt4+1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStr12ZD1hfdWFu0YnXRh5VFE3YsOrB9sf1ti71vHWtX1q7HDrht99+NsXZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3abMj6ohtri1asLvqwsmjCjkUHti+2v22x961j7cra9fjO23f/3RhrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrs2GrC+6sbZoxeqiDyuLJuxYdGD7YvvbFnvfOtaurF1P7HnH7r8bY+3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytq12ZD1RTfWFq1YXfRhZdGEHYsObF9sf9ti71vH2pW168mVjd1/N8balbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1a7Mh64turC1asbrow8qiCTsWHdi+2P62xd63jrUra9dTt/vvxli7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2bTZkfaxdm61YHWvXZhN2jLVrc/vbxtqVtSv/Hz6Hu4A=BAAAAACAAACAHAAAohUAAJoVAACcFQAAFgUAAA==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eJztwTENAAAAw6C7/g3PxwIUAADAjwE0gnQF
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CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/Lambda/Lambda_13_300000.vtu ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ <?xml version="1.0"?>
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+ <UnstructuredGrid>
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+ <Piece NumberOfPoints="3434" NumberOfCells="3300" >
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+ <PointData>
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+ </PointData>
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+ <CellData>
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+ <DataArray type="Float64" Name="xc" format="appended" RangeMin="-1.9795" RangeMax="0.9959" offset="5096" />
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+ <DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.11861" RangeMax="0.12248" offset="19972" />
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+ </CellData>
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+ <Points>
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+ </Points>
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+ <Cells>
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+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="40524" />
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+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="64436" />
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+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="70272" />
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+ </Cells>
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+ </Piece>
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+ </UnstructuredGrid>
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+ <AppendedData encoding="base64">
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_AQAAAACAAAAgZwAA2w4AAA==eJw117cT+D9c1/EIWEYsoIAlmwXQgGXUCChguctiARRiGS0BAduSOwsgoNHNBhGwjLEAApb8AZaAgG3J2QABjaNIkbvf4zs9ltfd832X5fMJIYTzvT+Wf5pw+Ri+7yM/npGJmYWVjZ2Dk4ubh5eP4fv1GZmYWVjZ2Dk4ubh5ePkY/r0+IxMzCysbOwcnFzcPLx/Df9BnZGJmYWVj5+Dk4ubh5WP4j/qMTMwsrGzsHJxc3Dy8fAz/SZ+RiZmFlY2dg5OLm4eXj+E/2/+wPQ8vH8OPuJeRiZmFlY2dg5OLm4eXj+FH9RmZmFlY2dg5OLm4eXj5GP6XPiMTMwsrGzsHJxc3Dy8fw//WZ2RiZmFlY+fg5OLm4eVjePqMTMwsrGzsHJxc3Dy8fAz/R5+RiZmFlY2dg5OLm4f3w/5j/t9Hey5uHl4+ho/9yI9nZGJmYWVj5+Dk4ubh5WP4OH1GJmYWVjZ2Dk4ubh5ePoafqc/IxMzCysbOwcnFzcPLx/Cz9BmZmFlY2dg5OLm4eXj5GH62PiMTMwsrGzsHJxc3Dy8fw8/RZ2RiZmFlY+fg5OL+sP8kew5OLm4eXj6GT3YvIxMzCysbOwcnFzcPLx/Dp+gzMjGzsLKxc3BycfPw8jH8Yn1GJmYWVjZ2Dk4ubh5ePoZfos/IxMzCysbOwcnFzcPLx/BL9RmZmFlY2dg5OLm4eXj5GH6ZPiMTMwsrGzsH54d9smdj5+Dk4ubh5WP4DPcyMjGzsLKxc3BycfPw8jF8pj4jEzMLKxs7BycXNw8vH8Ov1WdkYmZhZWPn4OTi5uHlY/h1+oxMzCysbOwcnFzcPLx8DL9en5GJmYWVjZ2Dk4ubh5eP4TfoMzIxs7CysX/Yf649CysbOwcnFzcPLx/D57mXkYmZhZWNnYOTi5uHl4/h8/UZmZhZWNnYOTi5uHl4+Rh+mz4jEzMLKxs7BycXNw8vH8Nv12dkYmZhZWPn4OTi5uHlY/gd+oxMzCysbOwcnFzcPLx8DL9Tn5GJmYX1w/6L7ZmYWVjZ2Dk4ubh5ePkYvkSfkYmZhZWNnYOTi5uHl4+h6jMyMbOwsrFzcHJx8/DyMfwBfUYmZhZWNnYOTi5uHl4+hj+oz8jEzMLKxs7BycXNw8vH8If0GZmYWVjZ2Dk4ubh5ePkY/rA+IxMz35fbf4U9IxMzCysbOwcnFzcPLx/DV+ozMjGzsLKxc3BycfPw8jH8SX1GJmYWVjZ2Dk4ubh5ePoY/pc/IxMzCysbOwcnFzcPLx/Cn9RmZmFlY2dg5OLm4eXj5GP6MPiMTMwsrGzsHJxc3Dy8fw5/VZ+T5Wns+hq+zZ2RiZmFlY+fg5OLm4eVj+Hp9RiZmFlY2dg5OLm4eXj6Gv6zPyMTMwsrGzsHJxc3Dy8fwV/QZmZhZWNnYOTi5uHl4+RiGPiMTMwsrGzsHJxc3Dy8fw1/VZ2RiZmFlY+fg5OLm4eVj+Gv232TPw8vH8M3uZWRiZmFlY+fg5OLm4eVj+BZ9RiZmFlY2dg5OLm4eXj6Gv6vPyMTMwsrGzsHJxc3Dy8fw9/QZmZhZWNnYOTi5uHl4+Rj+vj4jEzMLKxs7BycXNw8vH8M/0GdkYmZhZWPn4OTi5uH9sP8Oey5uHl4+hu90LyMTMwsrGzsHJxc3Dy8fw3fpMzIxs7CysXNwcnHz8PIx/DN9RiZmFlY2dg5OLm4eXj6Gf67PyMTMwsrGzsHJxc3Dy8fwL/QZmZhZWNnYOTi5uHl4+Rj+pT4jEzMLKxs7BycX94f9sefg5OLm4eVj+G73MjIxs7CysXNwcnHz8PIxfI8+IxMzCysbOwcnFzcPLx/Dv9NnZGJmYWVj5+Dk4ubh5WP4Xn1GJmYWVjZ2Dk4ubh5ePobv02dkYmZhZWPn4OTi5uHlY/h+fUYmZhZWNnYOzg/7H7BnY+fg5OLm4eVj+EH3MjIxs7CysXNwcnHz8PIx/JA+IxMzCysbOwcnFzcPLx/D/9RnZGJmYWVj5+Dk4ubh5WP4YX1GJmYWVjZ2Dk4ubh5ePoYf0WdkYmZhZWPn4OTi5uHlY/hRfUYmZhZWNvYP+5+0Z2FlY+fg5OLm4eVj+Cn3MjIxs7CysXNwcnHz8PIxhB//qM/IxMzCysbOwcnFzcPLx/Az9BmZmFlY2dg5OLm4eXj5GD5Gn5GJmYWVjZ2Dk4ubh5eP4WP1GZmYWVjZ2Dk4ubh5ePkYPk6fkYmZhfXD/hPsmZhZWNnYOTi5uHl4+Rg+UZ+RiZmFlY2dg5OLm4eXj+EX6jMyMbOwsrFzcHJx8/DyMfwifUYmZhZWNnYOTi5uHl4+hk/SZ2RiZmFlY+fg5OLm4eVj+GR9RiZmFlY2dg5OLm4eXj6GT9FnZGLm+1T7T7NnZGJmYWVj5+Dk4ubh5WP4dH1GJmYWVjZ2Dk4ubh5ePoZfrc/IxMzCysbOwcnFzcPLx/Br9BmZmFlY2dg5OLm4eXj5GJI+IxMzCysbOwcnFzcPLx/DZ+gzMjGzsLKxc3BycfPw8jF8pj4jz2fZ8zF8tj0jEzMLKxs7BycXNw8vH8Pn6DMyMbOwsrFzcHJx8/DyMfwWfUYmZhZWNnYOTi5uHl4+ht+qz8jEzMLKxs7BycXNw8vH8Ln6jEzMLKxs7BycXNw8vHwMn6fPyMTMwsrGzsHJxc3Dy8fw+fZfYM/Dy8fwhe5lZGJmYWVj5+Dk4ubh5WP4In1GJmYWVjZ2Dk4ubh5ePobfp8/IxMzCysbOwcnFzcPLx/D79RmZmFlY2dg5OLm4eXj5GL5Yn5GJmYWVjZ2Dk4ubh5eP4Uv0GZmYWVjZ2Dk4ubh5eD/smz0XNw8vH8OXupeRiZmFlY2dg5OLm4eXj+HL9BmZmFlY2dg5OLm4eXj5GP6EPiMTMwsrGzsHJxc3Dy8fw5frMzIxs7CysXNwcnHz8PIxfIU+IxMzCysbOwcnFzcPLx/DV+ozMjGzsLKxc3BycX/Yf5U9BycXNw8vH8NXu5eRiZmFlY2dg5OLm4eXj+Fr9BmZmFlY2dg5OLm4eXj5GP6SPiMTMwsrGzsHJxc3Dy8fw9fqMzIxs7CysXNwcnHz8PIxfJ0+IxMzCysbOwcnFzcPLx/D1+szMjGzsLKxc3B+2H+DPRs7BycXNw8vH8M3upeRiZmFlY2dg5OLm4eXj2HqMzIxs7CysXNwcnHz8PIx/B19RiZmFlY2dg5OLm4eXj6Gb9JnZGJmYWVj5+Dk4ubh5WP4Zn1GJmYWVjZ2Dk4ubh5ePoZv0WdkYmZhZWP/sP9WexZWNnYOTi5uHl4+hm9zLyMTMwsrGzsHJxc3Dy8fw7frMzIxs7CysXNwcnHz8PIx/FN9RiZmFlY2dg5OLm4eXj6G79BnZGJmYWVj5+Dk4ubh5WP4Tn1GJmYWVjZ2Dk4ubh5ePobv0mdkYmZh/bD/V/ZMzCysbOwcnFzcPLx8DP9an5GJmYWVjZ2Dk4ubh5eP4d/oMzIxs7CysXNwcnHz8PIx/Ft9RiZmFlY2dg5OLm4eXj6Go8/IxMzCysbOwcnFzcPLx/Dd+oxMzCysbOwcnFzcPLx8DN+jz8jEzPdf7P+rPSMTMwsrGzsHJxc3Dy8fw3/TZ2RiZmFlY+fg5OLm4eVj+O/6jEzMLKxs7BycXNw8vHwM/0OfkYmZhZWNnYOTi5uHl4/hB/QZmZhZWNnYOTi5uHl4+Rh+UJ+RiZmFlY2dg5OLm4eXj+GH9Bl5/q89H8OP2TMyMbOwsrFzcHJx8/DyMfw/fUYmZhZWNnYOTi5uHl4+hh/XZ2RiZmFlY+fg5OLm4eVj+Al9RiZmFlY2dg5OLm4eXj6Gn9RnZGJmYWVj5+Dk4ubh5WP4KX1GJmYWVjZ2Dk4ubh5ePv70A3y0//iP3Dy8fAw/9yM/npGJmYWVjZ2Dk4ubh5eP4efpMzIxs7CysXNwcnHz8PIx/Hx9RiZmFlY2dg5OLm4eXj6GX6DPyMTMwsrGzsHJxc3Dy8fwCfqMTMwsrGzsHJxc3Dy8fAyfqM/IxMzCysbOwcnFzcP7Yf/L7bm4eXj5GH6FexmZmFlY2dg5OLm4eXj5GH6lPiMTMwsrGzsHJxc3Dy8fw6/SZ2RiZmFlY+fg5OLm4eVj+FR9RiZmFlY2dg5OLm4eXj6GT9NnZGJmYWVj5+Dk4ubh5WP4dH1GJmYWVjZ2Dk4u7g/732jPwcnFzcPLx/Cb3MvIxMzCysbOwcnFzcPLx5/+4Pioz8jEzMLKxs7BycXNw8vH8Jv1GZmYWVjZ2Dk4ubh5ePkYPkufkYmZhZWNnYOTi5uHl4/hs/UZmZhZWNnYOTi5uHl4+Rg+R5+RiZmFlY2dg/PD/nfZs7FzcHJx8/DyMfxu9zIyMbOwsrFzcHJx8/DyMfwefUYmZhZWNnYOTi5uHl4+ht+rz8jEzMLKxs7BycXNw8vH8AX6jEzMLKxs7BycXNw8vHwMX6jPyMTMwsrGzsHJxc3Dy8fwRfqMTMwsrGzsH/Z/xJ6FlY2dg5OLm4eXj+GPupeRiZmFlY2dg5OLm4eXj+GP6TMyMbOwsrFzcHJx8/DyMfxxfUYmZhZWNnYOTi5uHl4+/vSP+0d9RiZmFlY2dg5OLm4eXj6GL9VnZGJmYWVj5+Dk4ubh5WP4Mn1GJmYW1g/7P2fPxMzCysbOwcnFzcPLx/Dn9RmZmFlY2dg5OLm4eXj5GP6CPiMTMwsrGzsHJxc3Dy8fw1/UZ2RiZmFlY+fg5OLm4eVj+Cp9RiZmFlY2dg5OLm4eXj6Gr9ZnZGJmYWVj5+Dk4ubh5WP4Gn1GJma+v27/N+wZmZhZWNnYOTi5uHl4+Rj+pj4jEzMLKxs7BycXNw8vH8Pf0mdkYmZhZWPn4OTi5uHlY/jb+oxMzCysbOwcnFzcPLx8DN+gz8jEzMLKxs7BycXNw8vH8I36jEzMLKxs7BycXNw8vHwMU5+RZ9nzMfxDe0YmZhZWNnYOTi5uHl4+hn+kz8jEzMLKxs7BycXNw8vH8I/1GZmYWVjZ2Dk4ubh5ePkY/ok+IxMzCysbOwcnFzcPLx/Dt+ozMjGzsLKxc3BycfPw8jF8mz4jEzMLKxs7BycXNw8vH8O3/0T+/wXvSvQ=AQAAAACAAAAgZwAA4QMAAA==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eJzt2kErAwAcQPELrRw0xLZkEk0SVy5KO01NbNNykG1lyk5ToxRtF4WDlSlKhlBrceEikdhBTbY2jTblsgk5EIctEXH1/wjv9PsE7/a8riNPQK3s9CLiPw8zc1/ONkSUTNvGe7RWRJTM5xwb1x5ElKxydb/PBxBR0pSpnnTsIaKk26aIaRKIKOnPvdUmXxBRMtp3GtoqLUNEwcf0zsdACyJKKmzLxkojIkrq48OpBxciSjr6zI3rs4go6U13TPSHEFEyONh0oTxHRMl0LG/J3iOiZMGS3V4pKkdEQdVvKPWIKGnuWvXp9Igo6Y7NJO/siCjpt3galryIKBmN6HdHgogo+WRo/a47RkRJRUxjytwioqTOUry58IGIko7IVbNTU4GIgj7DyVRNOyJKrl2G4ykrIkr+bbxjiChZOBsK2xcRUVJl6P1U7yOipPlAO/2cQETJ0Y6Sm81XRJT8AVoWcfk=AQAAAACAAAAgZwAAGiYAAA==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AQAAAACAAAAgZwAAQhoAAA==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AgAAAACAAAD4IAAADhoAAL0HAAA=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BAAAAACAAACAHAAAohUAAJoVAACcFQAAFgUAAA==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mmGaGWeaYZ4FFllhmhVXWWGeDTbbYZodd9tjngEOOOOaEU84454JLrrjmht/ccsc9DzzyxDMvvPLGOx988ocvvvnh1//9JcAgQwwzwihjjDPBJFNMM8Msc8yzwCJLLLPCKmuss8EmW2yzwy577HPAIUccc8IpZ5xzwSVXXHPDb265454HHnnimRdeeeOdDz75wxff/PDr//0SYJAhhhlhlDHGmWCSKaaZYZY55llgkSWWWWGVNdbZYJMtttlhlz32OeCQI475/wFEZZdxAQAAAACAAADkDAAAGwAAAA==eJztwTENAAAAw6C7/g3PxwIUAADAjwE0gnQF
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CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/Lambda/Lambda_14_300000.vtu ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
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+ <VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
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+ <UnstructuredGrid>
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+ <Piece NumberOfPoints="3434" NumberOfCells="3300" >
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+ <PointData>
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+ </PointData>
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+ <CellData>
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+ <DataArray type="Float64" Name="id" format="appended" RangeMin="110001" RangeMax="121812" offset="0" />
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+ <DataArray type="Float64" Name="xc" format="appended" RangeMin="1.026" RangeMax="4.0014" offset="5080" />
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+ <DataArray type="Float64" Name="yc" format="appended" RangeMin="4.024" RangeMax="4.985" offset="6400" />
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+ <DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.061557" RangeMax="0.12476" offset="19936" />
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+ </CellData>
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+ <Points>
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+ <DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="4.1345047654" RangeMax="6.4133780525" offset="29164" />
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+ </Points>
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+ <Cells>
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+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="41256" />
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+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="65168" />
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+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="71004" />
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+ </Cells>
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+ </Piece>
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+ </UnstructuredGrid>
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+ <AppendedData encoding="base64">
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zsLKxc3BycfPw8jF8hz4jEzMLKxs7BycXNw8vH8N36jMyMbOwsrFzcHJx8/DyMXyXPiMT80/4/wFi7RoHAQAAAACAAAAgZwAAzAMAAA==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eJzt2kErAwAcQPELrRw0xLZkEk0SVy5KO01NbNNykG1lyk5ToxRtF4WDlSlKhlBrceEikdhBTbY2jTblsgk5EIctEXH1/wjv9PsE7/a8riNPQK3s9CLiPw8zc1/ONkSUTNvGe7RWRJTM5xwb1x5ElKxydb/PBxBR0pSpnnTsIaKk26aIaRKIKOnPvdUmXxBRMtp3GtoqLUNEwcf0zsdACyJKKmzLxkojIkrq48OpBxciSjr6zI3rs4go6U13TPSHEFEyONh0oTxHRMl0LG/J3iOiZMGS3V4pKkdEQdVvKPWIKGnuWvXp9Igo6Y7NJO/siCjpt3galryIKBmN6HdHgogo+WRo/a47RkRJRUxjytwioqTOUry58IGIko7IVbNTU4GIgj7DyVRNOyJKrl2G4ykrIkr+bbxjiChZOBsK2xcRUVJl6P1U7yOipPlAO/2cQETJ0Y6Sm81XRJT8AVoWcfk=AQAAAACAAAAgZwAAIiYAAA==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AgAAAACAAAD4IAAAZRsAAPEHAAA=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BAAAAACAAACAHAAAohUAAJoVAACcFQAAFgUAAA==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eJztwTENAAAAw6C7/g3PxwIUAADAjwE0gnQF
26
+ </AppendedData>
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+ </VTKFile>
CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/Lambda/Lambda_15_300000.vtu ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
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+ <VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
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+ <UnstructuredGrid>
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+ <Piece NumberOfPoints="2278" NumberOfCells="2178" >
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+ <PointData>
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+ </PointData>
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+ <CellData>
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+ <DataArray type="Float64" Name="id" format="appended" RangeMin="110101" RangeMax="121878" offset="0" />
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+ <DataArray type="Float64" Name="xc" format="appended" RangeMin="4.0314" RangeMax="5.985" offset="3448" />
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+ <DataArray type="Float64" Name="yc" format="appended" RangeMin="4.024" RangeMax="4.985" offset="4348" />
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+ <DataArray type="Float64" Name="c_6[1]" format="appended" RangeMin="0.0018467" RangeMax="0.0037339" offset="4812" />
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+ <DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.061444" RangeMax="0.12424" offset="23164" />
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+ </CellData>
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+ <Points>
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+ </Points>
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+ <Cells>
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+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="46708" />
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+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="62100" />
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+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="66000" />
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+ </Cells>
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+ </Piece>
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+ </UnstructuredGrid>
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+ <AppendedData encoding="base64">
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AQAAAACAAAAQRAAAZjEAAA==eJx1fHlYTO//PiUiSynZRZZQlkKI3EgUkbUihBQh2feSUNGmiERlT4U5yywtmilKEiK02JcWCikk7yy/54we87l8r99f5zoz08yZ89yve3m9nqkv144ziWLgHpfTP/8qg9ZOGzoEvWCw/fZ4tx8NDMwrXh6/14dF0v2kplOtWBRcqOxRspDF0oTBL938WfSzyDOZyLIYdtagTfxtFp9zxOYhH1gknghSfGjJ4UBUe9svZhw63zqwpcNsDj1eG0i/rORQtov99jqIQ++S3g9bJ3AYtCjT/HUuh4aIkBbO7zkU7Tc4ad+dh6ZT0pbpNjzCP1bola7g8c3geNuYWB5lj0Y3Xy7icfdCb98T2TxqJ1qM3VfD4+fp40ZFemK8Hu08fqWlGBeqRzTLcRPD5vqAjZ9DxDA+v2LHAVaM/p/D5LYPxKi6uMrvYoMYvpPfFSj6SPB1qNhitJUE7Xa1dji5SgKrZt0mRkZLkHBgnIFblgTbc3+XVj+XYHkvi2ahzaRw6nEu/mYvKYyGmDVVTJbiZOefK0e5STFyttTmcYgU5g7LYiPFUrztYG9Z8FKKhqOjF+nryvBd0Xvg3JEycDHV8TemybBwzKz27T1kWLl5g//rUBl2XPcuLTwnQ3bTLw2/7siw3WDKxuVlMugHDFNEqyejytHCILZvMnq8tNU6No+cW8ydE7E5GZnl3cbqRidj9ud5tWxaMlL9PLMOPyNH/85d7JulYOCoqz0NR6Sg/eBSnac2KTiVUDRIzTUFbc7XGT4OTcGOEeM9Ls5i0D/ZadZeDwaTnm/46nqYQaSs90l9go9T+nsDPAg+xmlkbGvehsU77zer801YvEjw3RkLFsKzT11Y+I08N2vPYRYVr5pdeJDK4s3c1Uv1H7O4GFK5qWcVixg3/dPFrTgsq+M+iEdweKP/eaPVHA6JhddMxBs57Fsx8XBWBIewLrrLBhN8uC7P7ZaXxmFvXeWb09Uczl6eatjQk0dOjdV5nWE8dtd/r85czaNb681Or47ycG3TMSU+iUegSUHWmAwex7ptndqiikfV727leVpixOX+2t5lqBgWasnzrzqJsfdgosu7XWIweZ/i1p4S48eo6N7GCjHGP32UdPOtGPXmP0vC9Agecksf3h0qQdfdZ7il0yWQD3JK1NomwX018WX3GAn6Rrx108uTIKijllXpFwlc2szsskpPCs0kdp/EVAqEG9kW2UkRXBIxT2etFPF9qtZtiiT40a8/uDZdit7aoqqO76WYOeurcUw7GTa2n+qiOVqGoPgeHuucZbBrKP9VuV6GsI4Fr3oFy8DOKvTqd0GGTlzqo40FMtjum8ys/ylD8gKjwTnGyfgYlWqctiQZI3+sTXULSMbjX5GR/c4nY/dTn+/Ls5PxOql79ujKZLRe2GP15OYp0C28UdxySAqMV594vX5WChY9nay+TYtBpwmu/WYNYTA87eNlGzsGj/ieR76tZ1CrufbcmnAGV2zsZl6XMejVrHTaxZcMRM37txnRikV3h+Sy3gNY2N0wjbCcyMJWb0HhT1cWk4bZXxlwiEXagxijWJ7FuPw488QHLL4HDLKMrmThM5pfdLodh9RUV3b6QA5tY1tObz+Nw4hJHX619uKQeejR5djDHJ7u1T405DQH06PvjgXKODQblR707Q2HnouLhhS34dHL0rqtzkgeuyZueX7DnUdf9txT71AeoUcGRWw5q8JHu5TOazMqeAQMH7iOayOGZKbZaMkwMRaWxl75SPBRtuOJ3f5tYgissuu4GG/TnOef4cWwC/qvz9ZiMQKebW0d9lOMFr3rWp7qRHhC/fauFiB84nr4R6CLBJ5Oc+brbZHgi2JhkP4pCV7WOg0zuylBacDU3u51hG8+3n3s2VGKb2H732qPkuJ2665uP92lsJt9fFlbP8IbLcJbj5ZKoWXk8SuqUIqwnyZHDb9Loeu7e2pkfxmOt8753HmmDP1dd0Wlr5Hh6vZEq7X+MjgY6/okxMnQR/mFZLivaX5ld5EMkuwR4w4TnAxYGHbta/9k3LPy7Dp5QjKSRFdaPVyWDD/z0bsKDiTD8sS8uKTLyXheUb9y/Y1k3H7/uVPZcRH07qg7lRaJYG5RET+qLQMH6+Tci2YM+iXKmkunMnC8J866tZKBBVebtySYATdI/e5sjpwrCYPwyNpTGWO+M9h2732qzJDwyIANgcmjWWQGyf2G/w8+Vua7rWp/lcVW3V0PvpSwGFt/QP3tNxZdyGoF6HA4lmD7yX84B+7Laa1KZw5rh/vKxvtxqBnid8PuDNGX/dynrxIOW161qJiTw8G6NnL8VKIvK/nKjZIOPITVmm/Go3qDzosD83lkLF6a+dOXh8/F4cvc43hsdevY+koKD61d1rLFD4j+XJngsqOBx+l60/IrfcWokx5vVWMjhriJZ9L8FWLEG3a4oe8nhufrUp+AM2J0anEsdHS+GB+KYj6OrRFjioNP52Adst417Zx3DJcgK5LfOtlZgtG+Pi8U2yWY9OLZrfaER+4Zx+44lylBjY4poRQJ1k5PHRSuJQVjseHcsKFS7HeprJhuLYVSNgmPhB6+djXnuBTLBbixUhSd0VjpfEeK+kBBgKWwrptwVIPozgrZ0dx1Y2W4POLI46CVMiTsvdrD7qAMmuTuDDwvw6onQ1v55chQPcp6yobvMkycMGBBSkeiM09jJE8GE944PSU41jkZd95xUcW7knHdr6Fpu9aED8J7x+wJF+Hk+eWjW54Xodux9XPU74iwvffnmwbkee0897a2gxhUOpdvmk/4Y9rmpkOGrWGwY02eL3+EgVEG8+O7lLzPRIFgGXhm/+J21jLYanuywyxdsu6DE60nmbL48nSio+FMFhmaXYYd2MFih6egsCycwhocqrJYXO+v2ePFcxY2cyyP7/7CQrj6qA4cSsaVDnIEB6d5QxQPlnPw2NSCHbafw6VDtYdXxXEINF5RHSzl4JuiP2j8Ew5Vv1jt7mo8Vn+SD+w4kMe1A2+LCu15TBZ3n7PVjfiSMPNQpyAexud+nHscz+PN7Ehp8g0eNWnvjnZ/zcPBfWqVV0sx3j8/mNVshBiPu+5aajZPjFXTP4fO2SQGevz30eEowcWDmqg9twgutmqPmUN05uaxmZmvNCT4sCz63WIjCRwm945zHCsBEcvoo04SCNU9xlOCkYIchUsQdW2ve1E64Zm6ijO93kggu9/kuVpLKV5cQEO4IfEjmS+GuE+TIs7hvkH0dinOdanbuSxGiodupuz3ZCl29b8fkfNAitoPi/bKCU5i3PdsCdCToearZPCIibLG7yuDcBcPbpJh1OP116uJ3pSWlDkbFMrQuez4sesfZRg6bcyIY12TEdTF7vongm9iAiw/OrMYGnep0xXCD2ePaF9KPCbCh7j4pnvPifDw+E6b+ucieN7EsMB2DNp9Orc/byCDvvlfvUfZMI31xGDlrRm4GMRg6bAMjRLCH2c3vXOJuMWg1P/FdNl7BjHaFm/btyX+42fNYokZC+/xp4Z5zGHxoCT3Zf/tLE4Nf9i/z3EWv4+tJhLNwnHJzUqHfBbni9xd+5azcBHKvQWHa08/lo0bzWGd1tFKtcUcHAoOevXfxeF5iMb+Ccc5vDpxIb9tMofsSx2tRt/n4GO+4dmRWg5qKVnhLQx5pK5YdLZsPI+QRWd2rF5C+OLDSXInif5s27Wz6BSP7HluLzpk8rA1GbA17g15vanl0gMtxPitfmleWj8xtGS7+vQlfrXqtXmXDGcxgp+sbOK1R4xpTX4NmEd4JKPyZvjdDDHWVI4d+KtajPZnK/RT20ugfPshEiS36NXTZaIEC4b4bziziOhMsHfujb0SXK/Z1fzhCQmGtn+8YXC2BMMLf92tI3yy5K0OeQcpvC1d+IXmBA+FgUu6LZQilqixxj4pOs83y6m9IkV2kwP9ZmZJ8evT5xd7i6QYWsv106+Xgj9uNVurrwxR+7fM4MfLEGmkveXgPBkyQwRhlcHr6hgzhxMyODlEH/Fbq0CAfsndb3PSEBZf1uJKrRhjkjTqomzI+mTP7uPSkmnUZRH8bymOOl4RQWCfdu9EiLRe2tGa4KPVUJPdcsIfQxo2x4+xZ6DbuqKLO9GXWXpvdbdHMLg/313n4GUG9wozM59nkce/NbXxfM1AcuOU7sQWxG+udOxVZkT8x9WxMcZTWYibFvtqrmfRzjc5yTGcRbfIExfPp7BoMWFK0oICFrPq13Tv9p5Fn48sURaiK0rAcPCb97V2zHQOsfm+O4at4qBpseBRRCgHnvO+6XyFQ75Jy5lz8gie/kPA91qVziScOlPpaEFyirAcs3iQItdJ8OCxIpr5uTyYh+Xk7eVlDA9xeY7Lgoc89O6LLsf94jF3ZMfdT3TFmLeqbrwx8aunfjwbs8pOjH0pz/K8N4gRWMf6vfAXw7ZOc4RVohiVm4MynF6IwY5wJlGF4OhrG7u1xLdqLbmV0XSQBJeHyYcMnifBI82fdulrCV6UAUECw4T9EbkJEmgEXT/uckeCQ0V7bWtqJKgPEowq0ZE3dXlGxlJUNCTUFEwnPuS9aXjBGilq9n5OcCX+1f5wZy9j4l8lncYSiyqF7ZN63cg2Muzpvaf5CQsZ6oTLmC+D50bXHdfaK9D65uLqX9sUqHjzeKbpXQXWVa2NrTyU9tc/+Vt++FS0nMUIl74GacR/mlV0JtFQhEBfq4uzeRGUtrhaBNMda08b6zDITCq7azeUQdFB85yU6Qy6Dt5g77iVgZdOp6quJN/eFGKphAES6t5tu81gkzixb/cy8riVILhso69noaR1e+I/cz4V5y9j8aRhbocugSw0BftFdMYj0YgkRxZ5sc1INGbxI0sIaCymEJfcpz8H78hd7wfPJLxwYuMnO5Jze37KaHItgMOelk9TT8RzeH/m7Z6wTA7bqi+a9irn0PLiumYJejxeLRr8eowpj3meIzNHTufRX/Zh50MXHl/MzcfM9uax+HS7o+xpokfS2ojfuYRHimWHAz/xMJs3dGACwcesEuYC11+M0Oaf9G1mirH2+agBt3eKMdgR5rlhYoi27r7qeFmM8/ZJb9vdEaPh7cPIfFKHdxxzcz6qSfDu/lz7cgMJfjPnp8yxlKD6ppPnL+Jbc+cXP2i7WwK994q70wmPtIhMDl1PeER//yI9y08S7HceFxHRQwpl3B1H+CJ7VsqBBVL0jDqbU+0pheD6ThI+KRcdSjG7KIV+Q97H3OtSqPmN3vHjuRRzN/U59vuQHMcOtdthniSHpW2qe+0dOYbucd76ea4Cx6f8WvIyRQELkppPhKWhjnc6WGosweObm+fcWs1CCSfCD0+L39t8jRFh8fRYLprwx1vCjnsqRfAR4inhFw9lYGIQoOi3+qEVg7ldTPl8VwYbvHyuT9rLYIZ0z5iZ8Qzi55961iubwat7zmOvVjBI6rU+7Hw74iMW/XfsHNGXprrJm0faq/jjTmX3tQH+LO498J1QEE98rFXHh7LbhD/snjcZ9oKFv2PE2CLiV80cmz9qbkR8SOWGqePtOPz4PWrpNYKPwU3r4+ce4PBhap5NOsHHwHjLvhVZHJzvWLxpeM1BSL2VTYlPXaTzw6sv8aNnw777Ep3Z3LMq4ZEjj7DSWoMCLx5Fa8r6/j7MI8/DPnc0S3yIYC8f8ZjUCSE7P6tw4nJ0y6rBI8UwGzV1cYyrGDf+a95v5EGSc5UAEqPVmY/qhx6LkT6q5lHoazGaDo2dYEV4REhTT/QlsBnx/luWhQSaC/b0SiK+ddWZ/Cmd15Pz0dW/3+yTIL9enjz3POGbfr/6V96WNPp18njq5Lw9BCc928TfvjNSit1KYZNi9KMFREKkKOn1a+m0MCmabIoaMiRDjr5jzNVqUuUoNXnvEaCQ43rslvrVnBzisoUHk27J8cvYePrUCQqc2LB/a0qgAsp2VXDa39xVvaniQMUaFm+/GtWk6DJY0zy5p/NREfRnXowPyxDBaOpEQ883IiT1bJ5ap8Fgcbt+2TlGDC6bzVmwexoDIbW+W8og6mDI9u4k557LuvLhw1GSc4pbr5tAfOrVRUOm65Cc+6evwmJ/82Ult3uxuM1HOOyyYlHygb9l58HCle/9aKsP0RUSikadZBGl/9X2I8NiiUb92s83WLxu8p/3b+JDSvgKsxEtOexeE2FQY8yhrvWrKDd7rvH+cCjq2NJz9DEOp1f2yDBUcOgknBJ8XLtw9+zr3xxes3FESXn8mOmRdXscD8feaQVms3mkCbd9FQ/7Rd9N8vfyOEVS9p5LPGy+20rscwi/ZD8PGvKYx63sTk45NTyCsr1aGXcQoyZWPU/HjOiKbnUT+wVidPEPCxwQLoafRdn9EEaMJ8/UN7ncJf7VuF3BnFIxfEbZBNYS31p1Sb/Y1VCCawHtB20nvtXvUryDC/EjXffO0Oy+ieBCGbQkSKo49y1EJEHTC6273SsgurPKdFsUycF49b7QrLMUpEiu7R8rhYNf9qvbIjlOazcNmHlejgVpHyZujJHjkO3ku9di5disFq3ZlRxtv5gdLDsqxzs3vbxBl+VQ2KzMS9FTQGHs9/vycgW+dDjXOehCGny6LrtaTvTvmjxm0r7dLNqmZ1/fSfxpp51D5CvDRGCJGrcj+qJsZ5L8EhB4Yk5uE5JL7jVfom7IgBlrYx9O+EM7v/3yZnMZ3AmPdGlOeGTpxeutZLsYROywLxMTHpnf4VW/s8SnbrP+pIgkPnW3biuddZos+hcm1Fr2JutucaNDxyks8m2Ehg2LZ2xxvw4hLK5ds43GBRYnyafOzGahPe7Iytw3LCrv6uaXqHGoWHe5junI4cWvhcOXjyW60u+af7wjh03KAlP5kCqDSWalxRyq36wMvfSDw9C6xbvu9+BxcBPie4JH0w6hPSOX8bDQ+F5yczOPnIeLSjQIPpS0fIHoT22fd9FEZ9o8dyybWMbD8HX5XLMmYhjs893VkuDjjx8T4+KGx3M2zCB5V33rqRnbxY16K4aRnuFLbeJHur2f3jo3l/jc7V2G2vwnRps3a7Uvd5AgVGTJ9xkvwXLn5iQyEh+yzG14Lcm/U4Q2bKQEqfVPYnuyEliMW3DSlPBIq7PzSYST/OUFyhOHHSs6HUpXnStj1FUVf9Dn6XGZttNo8U05vPY0yw4zVeBbzs5Ht/YpMCRjnMXmsjQobRDJ35LghzsHEj6fXLD2i6kBg/wzWwe+jBVhs7rG89x4whsTop6kPxXhyKq40BySbxdqmN6TDCH6sloSkD6TQfXGXeJRBBdrzRJbv1nLYMrbFcSakccTW9y2usBA2V7IYVC3686GkrfE13bOsakj+Di4wePHNWMWm2+d7bp0FosuF4N3xxF8XHpTf7qA+JAencbXzzxD8LJU93hKBgvnbYsHmhP+uPneZEc8wcf8725DJ/fhMNLrpF65JdGbo01XDJjP4cySG3qX1nMISW4yfCrhkZdTBCLnEH0/zH8O8SH8hH6dR2vx6KiTXdpmKI/43GBZ5GIesjZne27bRfLK1K1FJYd4bD8yddtEEQ/eZWvq5yweLi3udp5F+KMwvtvh7J88us+brr3ZQIyzCybpHSY6UzGrZveUuWI47rJ6xW8mvDLoUtfqUDH28EdMjE6TPOMyfsjTFDES0zit5kVi+DsYrej/UYwRSw598SA4WXa6cHj1KMIbVTfSertKcDf7RV0zwh+XBZohOtN7kNCZliNPOyc1OUSO1gY6cwwPyFHuuNF3Sajq/KCat6F9hBy+fkEdRkTJIdUuPbXvuByve0wzSD0lx4fYsSYPo+XYaesqDk0keLFoOn1fGwV0BNpxVzT2Qa9iTOdufUV3CU5vjo9dRHyg+bjDPz8PJ35zeUQ4z4hgnjTO0ZkVIdjjws6YhyLEpAlCwSC4fsbtHaYMmsqfXF0/mxz1v3+1WkN4ZEE7l34HGZj0b31reDSDQc5VQfuIvnRN70KiKwPNjWnHGkoJjuzsnV43ZfFpTdjzdQYsvPY+9vowifDIuA2rCzxZ1C6ausgslMWjw9+nvDjH4mhF5rP5aSyKH26f+4P4EIFd7/xk8eWC0KDiUNvbJ7vLYA7K8p/DIaGhyTlzgg+tT8/KQw5zaFsyPrVYzKF4gEOba085TG1l4jtAnQcn35MbQvLu9vm6WruseSgvy4340RhfwkQ8nEL6Xgoh/mPELmHFeHhc+hnz4T6PUlP1yJpqHvUjIpq9aiWGUi4IfyRMP/m0mvjVJGdLo3Qv4k8Eu3+E5JwX37wWnxRjmNejzRcvkOcry7ZG31b1SSqu8806N5Xgpe/RK0u6ShD0PeX0gDESeKXdWxgfLkdOUez89mRd7/RYqeF/SY4larKP5Qmq8/W56+M3McRnphm105LIYaFcWDlW+10kd0IO67RWA0BeH6zdw7Mbq/Kn1I8c33Or/ltnlf84r7eJQOcqhGnP665SuCzqcDGb5AOEzYrdPpqBfNjjxD6cCNfWqLXOiyO68jPWKf6WCPeS1/XsQ/JN9KJvDn36MY35jsFUQd62MFCOD0i+Vcje5fucY8CL52xMySR6xfdNMnxK+KO/0MBl4LQ+UTJUi+TY/BXj0zuz+PiuMjTbnPjST+6Ewll8t6vLf+DLYlin3u33H2WhWP4mU5/gY+e5TE/PVyyqQ4Mflf8meTd6vE5QJ8IL/LiyKBMOnI1gADjceiY0gDkYT9t0dP4+Dp0vn01seYbDp2GDu2nmcpi+MsJp9keCm5XvWkl1eCjbfmN53Is22O1B8u6O0nbNY3eq+iHT1JG4VMEjZNLKZl2LeODSyFX73/Gwjgsze60mRkTFf+O69SF64dnEvOdEMZoXrifWRozDCX6zbGPE+Jk2bmNhvBjJm25vvyEX4/SqL6t8C0iuGSsEaTHCfqtN8G0twfFYJkud+MVEt9Xe4fdU/jGw6KvWluuq86+fhcJQ6QjVCfp3Zrk3SRKSw8ex2W/nXHljfiF+JLbF1hUf5BDSnUWpHMV7Nk4+UidHevdX4pfWChAy6ReYqkDMfiHQXsXh+EsXqg5IQRb1dmV3DjG1byc7ER/x8qTO+fRMUWPfWYSsgoywVcUiwOmG/9o6EZQ2qQMDY/npTyUWhCduTxwTP5+BqeR829odDEKWpZx/dIjkmp9TSWkwiGw34dHbRwy6ffq+dN8nBkcUO6eEtGQxp6U9scQsmgSvuHcPLMZ3bNM5bDaLwM/r1B4Qv+qV6hZQH8CiZadFz7tdIbk4rJOl7B4LX+3cQ65VLDi376mtCU5GKRujHHSLTK8kj+IQeFIeKyI6E7LkzX9bvTk846x+XD/KYZraw4echOjN5+uar+4TfGjfvv/mGwevARVB6R15nBl4ocB+FI+kK1Yj+s7nofkmfr2XD49veUbG/kk8HrQ3PhueT3zJOg29SoIPzS0/OmoSfPAfDbTu9xIjIHhKwj4jkncfBz/QnifGoxYRW9u6EX0R4mMAwU2bn7oLL4kbc50YyrYQWacPexyW3KyUw//S2q8nv8gx0HHbsaB64jM/d0mb9FWOSxuFDoUcmrlq/dZVyTH40Kl603LVum9XNsTl6J5bhnMvVDihvqP60rMtp1Pk+PO0HMk99lfNSlbhzJKoTXl3BayXO2V3Pa5Ap3GGFya1T8fSEP6d5kspxq8REjmH8rt2Q0+uZvBtq3SKV7IIS5KaBV0/LmqsH1UfZKlncMyn9gy8Cl96zxtMcovZuvHTHBlwdcIfMpht1dW3TSAD5bj9DANlnCU5V02IsWWqeX//gV0L5+qzCOn/oY18KIuAjPDxe6ezsEy5MN59BQt5SfmNL/tY+IVlHpxzmW307yp8WH8tzHAgOUZ/RJT/q94cHhY8bbV0BAf16tIHrs4c3nQRJq8c2ikbQxzCbpz26SjlMPNG/dCdJRyEboBPA4dwrbsvqwk++hr+CDplquq/Z9+4GjpqOY+SLY+76ATzkAhtHcInd/874sol89A+8qTOspK8LvhTXc9mYvSK6JVTOEyMrCM2Z47NEmPpzAv3S5eJ8XRA90u/N4r/1vnZHmfud8+S46LjLbMsVqUHdB1jior7JsrkaPXlwFhbsr6zlYInR2gPgZnl2FjUvnZCvoo3KO/Q96W8MSU3iSBL9Tr6/kI6S+NVOJlW9kEzXkMBaYrQKFbg6bQuZzfPTcc6TaETKINLfpHJsRBSRyn/sbY+DCZXz82wzBf99anLj6xY3DZNhPODrtQcfy/Cq93GJSzxIZPOjgmMGcDATGP1yelTGMwcIUz8CQ6UDSUGZT4BZ8bHMYh7cza783UGo9xLDmeUM8jYLNxRokO1PS2t27I40/+eUW0fFh9SZYamE1js+GN8sO5d1Odgbxb25Qbeh0mOmS8ffH13KuGVmN1p74tYBNfezlv6jeSgBys3mDbnMGn6l+/9CU4ihBg1ieRc3UUdfdZxEKq1yQGSX4SvFcdBzSekz4RkDq3VjAP0CU6YZrOXFdURX7LMNqWhG4/gsxt0JcN5GLgPeTLDmYf35nmn9Eme8Rbs9UkePe8dFyek8lCOM4vJ60xcrUY28MiSPL6+uL+4cW4pBleUhudJKv2nOPgzL5HD75AJsRKqde2l1vb01Duq+le4zTiWnaXiAXdb3+gFUhVuqP8Y/sV+HXtG5Svo4zTvUr/SQbAVYvnf61qYGxoynuSbhzYCQhT4MOXgTeagAsOVRJuOfUI7tkAGwYX7PuSwNUBPvQ/xlZtDm5ZUPRNhw/Q9t++eEcH+yL5Jj2+IGuuEwRkjN0IRDCrVc8cEmDEQUnPOZOI7/bsSBWEwYrKwU4b4kr5jTxfFqfpkrh+qiSMl+BPGVMSHKOOONgt35UYD4n+EsRvxIZpXaptdm8FipnlZq+oNJM+EBcjTIlnMkL3X/s0QXCg+tGz/hEUEZ00SFwuPV1yrE0057D2f6nusM4eBIVElFaaER6wcZDtmED8ibCfy4eC6pHtOu0gOUcJ457JKZ5KipuLVew4NlYnjBzXn0WpIZkK7Pjw0lF+Ux1hSBZtIvrFnV2mXb+HR2aFmcnk4D6WNjecb+9J8o379X16ndWo/5seI+WdVfvNpkWAA5Ei1FZAqR03R8pAdgXKctx3wtu5/8od/7tzMi+dU60rXnfYvKM5oblXG2hsqPfk399LrpDykbNs1UzTOKRVo/nXQxlQTOR4UL9ba4ZWMB/X7HSOIPxOHdfhhnsVg9Hu56zbCE9ps5jXbaBEqJwiDXxHUF7sX968SwXpaD/u8doQnUoeskBoz8C9d/tphAgNiJjf/dmIw9PGb/Zu2MSg+uXfFxMMMhtf17dqO5Bj9Wbre424x2J8vDGYYXJB4rBFpsJii1sZ8cw8WFRs/bkkfzqLeM7AmmvjUEJdtfXM3srBVbiRjMfvk2dDQJBbhD4o+j8hjcUNoV70hOmNrc87zBwv1w12tC7twULbrB3DITdQc2Xkeh9Aw/RWtNxI8aCc+fL+Hg0OhefYb4leFVfTJJLyz2vrEG5JrJisb4MTHrkoZptua5Jks54oXg3nI689YLrbh0UawXWtI/o19m/qJ8MnyMS/sQ47JG+fGqnWkOKDrR/MFzZN0fei6UZ35t+4prujrKJ/Q3EGfp7xA+Yf6Edo/V25/IefN05Y+OXNbDqdD7ibRd+WwLbIjEi6H4I6etlYgL0XPMdJbgdAx5/d+3S1v9M0pOCjaoldxkcfjV6LcLqSuZ+857PmyLYM0b4fjAy6LEO59yC0zS4RhP9vXFH4XYUCzDQd6E3woY10fBj5rhcktgzDCVldcyN9NMXe8s5H419Npfe6SvNvm4siz5UmET4SyuMGg4ZBs4c9iBh85obHAYOSb4ZM6/CI+96jh96k9iY78uMDMJjozfOXbuJfLWLxMu9PVaD9Z//uHzRJOq+Z3anvunpv+iEUH5QZEFsbPFq2w+sXiqjCWN+Aa901wEHbvdVnD4XjaUcLAHL6uFAY7HEaZ9jHSlXF/+bMnSS9xpRyCOm3pdPgXBxO3zq+diC/pcqbVbv+RPCL91g7xCCb3W9lgVPUb9qXxW57sl/+db9D6p3mS6r2nspEph4cwnnwkh9Whve3dH6vWsaNftyNDSe6IdAt0XfRUtc5zHcflfX5J+MRNeGc5DpYddbB6rdIhuu6FGwsabhTJ0WCx7m5ggcqvClWwtliVfyivUN/CXBo+QOMZ8cUWEXm7bRS46njZrv484Rtl4yzlb45feMVnTYQBi54uEzUCOpJ8yr+NaUV8qmhHxtjlJN+OPTNx88Ya4ke27olQIzlXOUbrpeqj/tlvxGDh2KsVGRsYaMy5c+m8LwOtyX03qxHdUrbleFU/JIJ9/ENRyaBq7vfYcE2SU37JIrp3ZRGqLjo6ZhiLh3uEhjOLznO7ngz0YXHFWuueNJr4k+w5YcOTWUxa9Th7+AMWUadrJmlXsFCWewOL9E6ConB4+mUFZhMfsvTCB5f5HhymlIej0zYORxcNTS4P5WBfcXD2RIaDMh494uCy2Nd7UyWHQW/TTZs14bHa7dqQr59V95n6Proef+bDKv9AdZ7yBu1DURx1L8/TYsLkf/tctF9F+9+0X0Efp8diQY4uqI7/fg7lpT/76OR/+yYUpwypeu0QeeM+GVU/jfbbTZQGQY6ZygGRAgUWidE9SZ4S0BY7PxVNupyf9jtCjNp+CmujaYS/lyQel+gxyCluSZRYhLV681f3l4iw55147d7HIkhPfbuh3YSBMpZ0YzBPOWBk0Ntu1uAQwh8XZ9mYJW1lsGyIHtM9mEH0pPSXD04y2BmXOFGdZSCkvIuZDEoF2X7BQHCVg5uw6BX2cvItkmeUMXmoyocE75OenLaexWV56sCZQSwmMomLfeJZ3Bfa/Fksjn9d1t/oMYsS51vfl1Wr9qsu8JU+ujSMg+UyYScSB7sLrQhSiR8ZoWE2Joj40Z17h9hd4LBwc/fEAbkcPpdpFE+JV/H7BL/XOVFpKj2gfoLyOe1fU56nvB9Xtn3d1kJVbqB+hPII9au0TimOCg8l5xQEqPiIric90sdHDdp235HwFL1eipPnZYZyXV71eX/0UzWPo7ii+KR898vtW+nS08TfCNtSG8i5jQ6xWHKMPvY6katOhZVyY6gED0yFwT6LuaQ6Lw9iMKzL96uvCT4+Df1woiFJhFlTNR0e5YkQlHld7PVRhJbCtgUhx9jfOudvzuCVVPrp6lwG5zPUSORlsM9tzVv33aq5v09C3MgOCSTHKBvzDApGPay+VsjgYMWapqeJrh16nJX7k+SZj5YLNzwdwGJXin2o2iSCg60ybhLJu8stNu14TnxIRL6wIY/Fn+2/LHzU+k8+epvF0lFFQ62IH3n3edbkhU045D0Km15L8ozVLftEbwsOw9OznC64cGi6Zvy+5A3c33Wh6/Vv3sCmCd55J1XrR+vyX52ZrmwUq9axOVm1K7tU52pxBpM1w1Q+lJ7Teqf+hfIIff8/ekhwOKiXwZc1BF/CmNCV5A2/jt4aHgS3Aru4EdzmXp94mZxfSRM2mhI+E2LlJjmqDp141Zxch1n5lb6le+X41mPw6I9HVDxE80t/pREh31eg97EKxMS0Do1wJDqzMGvrssI06CgNuQTqwrbqGhYaZyMsmk5n0OrrF5366yIsff7GTlcqQi/17Vu+F4pwfeDzm2NrRUi/JmxIZDDml1azpiTHRBwbwWY4MjiwXdjRxWD+83ntogIID+1xzIs5rprHiHoLHW8GG2ZHfRv1gPgSAXbVxK8uFXZQsnD8qOG+35DFqe8n0xYNYXG9rWvBC8Jr8wPOJm3aSnLvBKmJyzEWc5QbRlmI+my/Un2dxe4D26p+kFxTaShsRCV/VzyRKDyHlKCh1inDub/3g/YXaJ1RHqBHmh9pnqR1R+udrietX/o66jP/fZ7mTjpXpbmEHunrm13OIIhR9cnpddD3pfxFczK9Loorim/qkwdf9s+yPCpHNqk66z0qvClpbQt5fx2hw0H8qvC1fFR6uezzes+LnRToxurHqS25itSv0T30jkhhbbKseKkdh7DR+cXH1pCc62zY8WSmCG0aLNkZkSI4Lq7F9zQRBisbSiK4nlS03K/J4IiwXbYfg+7KgRnxJVZZdxKWMyjrt8pj7X6mcX+mal/I+bPdbvfLYKA7pUegSQGDxSUae1d/JPkmMPaIbRsW154IG9FZCLvutS1ZDDXWe+dDdKblq/s3dFarfi/T1kSYHLEY7RqlK84lOfnc8zmjiU995T1v8FziU2m+oHVP62jZIOEXFyTffalPn75bVe80X9L7TteLrtOV2MPPR8pV+vLvkeYP6iNoX4KuP/UflDe2j7nmkRmkWkeae9sOEn7JoroOuu4Un5Tf6Pz+XzzSvETrgOKX6iT1zYSUHLyvqL6ndWyfRcO+Ez1anrhk7mwFhDSxsns6Hgpx0U2G78WLTp3L4KDdPHZnu2MMngQapR2/L0K/YHe3hkMiKMvvigg9zrePvUdyLv29Q8yK99PMezAgf0yEhWnsL5OcrBzkM+gmufYl3Z/BtmWFQaeJD2mmrmkwVUzyCq+Z7XCPafxdBYOUJMfw+01ZRHMP2lUS/vizP4VF3tCPze8vILon2FRPFpOln38+3Eb059Pj820CWHQccGS/SMT+9WGU9+k60DqlektfZ3XZ4/n6g8SfKQ2D6kj5PHnMatmilcSHxN08fG41yZd+w13vE94mf/yx5xZVXdJ1p+tL15Hef7retO7pOfUB1L+K1YSGjRxdiwdmvl4n/5szqS7QOSz1lfSc4oS+jr4v9a3U99DroTim/pfii+ZjaaGwgUaBanVB8dPRJru7V61zMh7MPHtouQPx7Vr507JJDr0ROOm02zMRNt3r221HkKhxXiVCrFbv9IvkcWUbuzlZ1wMLop1JjjmY23VJ+RgGE2/3nfeE6JPdueEncpYSXxLZJ/+rNwPl9vRI1b6QncoNB4Rfmur1nlbOIDB5dGRr4lPnsKZEglj88r6xX70Xi8VXDWQu41R9kZeuzOu5hEco7ml90bqlx3/nm/8/XemaNulrYYaqH03zCH3940v/LfTMVvE+9SO07mmfi57TdSLkPHav///NL5TXqA+gn0N1hK7/n7miHMSMupv8j/+h70f5jvof6jcozunjtB7odVE9+lc3af8sO8yUlIgC9zdtMRs1VY7wqFP+XktTEPZLuXEcD2MjNi5rx/7tl2bfWln6+aAIle96fwqIE2Gd4X+Srw9EOEeu/qM6A8GdNunKNO63U+0LWVn1cokXybuLrrcOMfJjMHbllmfO4cSfDAifNOQsgxf6Jo80rjKN++8YrFd74PGsOeEFydlRU7qzEN+y8/g5iEWd1pbrUmv2r78zchcSrOq+0ftI64HWFeULmufovgh6pPxB/SC9/7rKhq6qrmgd0vtIz+nnUh9Ldf9E7sgnT//HX9B6pq+n60Ovj+KL5pJEYezrS/yAbXVXl52q66fXR3MM9Q2UxyjP/euPGxyFjekqvFBc0eui10119E/fR/G3/koEG+eeilK/YfUN2WKMFmLFGhaWe5g5l7ow2OqfMGgz0ZdremUF9ftF8O57qH0a8avxmut2dCQ+RIu/d9dDX4WPA9FvSYJgkPdEZ4bWYgaRvlH7tLYzSI2bcyguhIHhxS7pXU4RXenZ61ZHojPKbWXFJB+7120PriW554Fg0IluKAtQdT+oryq1LRhx2EvlJ+h9pfvm6P4Z+vyfvoeKv+n9ovr/p6+qus8UH7R/QPmb6gOdt9P5558+vYqfad+a8hDlH9qfqtoo6dCQp3o97V/Rufu/8xfab6Fze/p3tK9Fz2mOpT6W8hPFL71PlJ+ob6b9efo5XWMXD8jTVkBIIS3UFRBYbfDaNPy8mmCzn5XALtjtv76vie/buUI8z5aBKUYOd4sXoeMpzxFVwSKkeElmLAwVQVnuEhGaPskM9FZjoOXiUjW7N4Mf5629I4jO0P0CN868e7+c+JB5QhuM4COkrc01eQyD/soNKQwGW8xflf6C+cu7lBcoj9M6pDj5tw9AcUF5gdYFfR+6vprlb2t2nlC9L/ULlK/pkfITxRHFVS+lgMthblDkf3C96vFZ7nvtzDaocBj45QlhhP/rU2j90+um+KN8MnDTYtdjF1X9DNqHobmL6gH1vVQ3qV+l/pO+nuom7eNQHabfm/Zb/sUN7efuMvF+6/efvHE/2FWssH44KS5Mive640255RyOOi9oc2Ang9MeByLv3xThF/mW48JFeDvs1PPgaBGU422RCD/1Y0wkz0XoE7XKfZAGg73Cz/B6El1R/rCUgbG+YsAlghPltjuCE5fth2INSe6l9UG/F/0eFP/UT9G6/TdfUp6n95H6DYoLigeKD3pf6PvReqO8Sj+f9rnonJVeH+Vb6m/o59PrpI9T/qE+meKW4pj2o2jeoOdUf/7th9B5DtUtyntUH6nuUn9DcUjvA62vf/uv/86BKC9SHlP+PLAP4RGyGjN6p//9PwDGSmLh8apG+KEe8Z+J79MM60WoEcZeESJkCts0YkR44H7S/+I1UeM+CBFWtb/aK6QV8aWewi89mcZ9mQx0flnfiyI8tMIk+u6M5goox7I6ir9z5ZjU2vmxLRTwsegxbGZnxd/f7dB9kcK0Ylx3BTyUC6v4ux9OOWY2UEApu/0UUMaubgo4CXLdQ/U+fsI2KfK5ym1i38j9i60kTk4179gXeycx/5FKJ+j5n/m/6kh5n84tKK9TvaBHOj+l953il+YWigOKC+qbaP3SdaU8QdeR+lfKL9Q3UDz9iyuKP1onVHcpzihf0eul854lZfcMn5Cc20zZAFBA78qUVzv05Kh7WJmUpJYC4dfBd1/yUP7ceTCLLlkttvzoyDT+LkQE5ba/zSLcOVL4or2vCK8mfVldRfTnz+99RVD+XO+3CP8Pex78vw==AQAAAACAAADIagAAbhMAAA==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AQAAAACAAAAQRAAAWQsAAA==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AQAAAACAAACCCAAAGQAAAA==eJzj5BwFo2AUjIJRMApGwSigNwAA+uhMkw==
26
+ </AppendedData>
27
+ </VTKFile>
CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/Lambda/Lambda_1_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/Lambda/Lambda_2_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/Lambda/Lambda_300000.pvtu ADDED
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+ <?xml version="1.0"?>
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+ <VTKFile type="PUnstructuredGrid" version="0.1"
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+ byte_order="LittleEndian"
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+ compressor="vtkZLibDataCompressor">
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+ <PUnstructuredGrid GhostLevel="0">
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+ <PCellData>
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+ <PDataArray type="Float64" Name="id"/>
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+ <PDataArray type="Float64" Name="xc"/>
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+ <PDataArray type="Float64" Name="yc"/>
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+ <PDataArray type="Float64" Name="c_6[1]"/>
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+ <PDataArray type="Float64" Name="c_6[2]"/>
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+ </PCellData>
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+ <PPoints>
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+ <PDataArray type="Float32" Name="Points" NumberOfComponents="3"/>
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+ </PPoints>
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+ <Piece Source="Lambda_0_300000.vtu"/>
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+ <Piece Source="Lambda_1_300000.vtu"/>
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+ <Piece Source="Lambda_2_300000.vtu"/>
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+ <Piece Source="Lambda_3_300000.vtu"/>
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+ <Piece Source="Lambda_4_300000.vtu"/>
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+ <Piece Source="Lambda_5_300000.vtu"/>
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+ <Piece Source="Lambda_6_300000.vtu"/>
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+ <Piece Source="Lambda_7_300000.vtu"/>
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+ <Piece Source="Lambda_8_300000.vtu"/>
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+ <Piece Source="Lambda_9_300000.vtu"/>
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+ <Piece Source="Lambda_10_300000.vtu"/>
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+ <Piece Source="Lambda_11_300000.vtu"/>
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+ <Piece Source="Lambda_12_300000.vtu"/>
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+ <Piece Source="Lambda_13_300000.vtu"/>
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+ <Piece Source="Lambda_14_300000.vtu"/>
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+ <Piece Source="Lambda_15_300000.vtu"/>
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+ </PUnstructuredGrid>
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+ </VTKFile>
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CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/Surf.pvd ADDED
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+ <?xml version="1.0"?>
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+ <VTKFile type="Collection" version="0.1"
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+ byte_order="LittleEndian"
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+ compressor="vtkZLibDataCompressor">
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+ <Collection>
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+ <DataSet timestep="300000" group="" part="0"
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+ file="Surf/Surf_300000.vtu"/>
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+ </Collection>
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+ </VTKFile>
CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/config.txt ADDED
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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 0.12
13
+ variable Ma equal 6.5
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/Kn0p12/simulation0196_Kn0p12Ma6p5/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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CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/gas.species ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Species data
2
+
3
+ # species name
4
+ # molecular weight (atomic mass units, e.g. 16 for oxygen)
5
+ # molecular mass (kg)
6
+ # rotational degrees of freedom (integer, unitless)
7
+ # inverse rotational relaxtion number (unitless)
8
+ # vibrational degrees of freedom (integer, unitless)
9
+ # inverse vibrational relaxation number (unitless)
10
+ # vibrational temperature (K)
11
+ # species weight (unitless)
12
+ # multiple of electon charge (1 for a proton)
13
+
14
+ Ar 39.95 6.63E-26 0 0.0 0 0.0 0.0 1.0 0.0
CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/gas.vhs ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ # VHS collision model parameters for each species
2
+
3
+ # species name
4
+ # diameter (m)
5
+ # omega (unitless)
6
+ # tref (referenced temperature)
7
+ # alpha (unitless)
8
+
9
+ Ar 4.17e-10 0.81 273 1.0
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CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/grid/Grid_2_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/grid/Grid_300000.pvtu ADDED
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+ <?xml version="1.0"?>
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CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/grid/final-grid.dat ADDED
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CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/log.sparta ADDED
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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 0.12
17
+ variable Ma equal 6.5
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 0.12*${L}
23
+ variable mfp equal 0.12*1
24
+ variable cpmfp equal 4
25
+ variable nden equal 1.0/sqrt(2.0)/${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}*${Kn})
29
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.12/${cpmfp}*${Kn})
30
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.12/4*${Kn})
31
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.12/4*0.12)
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 6.5*${sos}
38
+ variable vo equal 6.5*307.815564238681
39
+ variable vx equal ${vo}*cos(${theta}*2*PI/360)
40
+ variable vx equal 2000.80116755143*cos(${theta}*2*PI/360)
41
+ variable vx equal 2000.80116755143*cos(0*2*PI/360)
42
+ variable vy equal ${vo}*sin(${theta}*2*PI/360)
43
+ variable vy equal 2000.80116755143*sin(${theta}*2*PI/360)
44
+ variable vy equal 2000.80116755143*sin(0*2*PI/360)
45
+ variable ppc equal 30
46
+ variable xncells equal (${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)/0.12*${cpmfp}
50
+ variable xncells equal (6--5)/0.12*4
51
+ variable yncells equal (${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)/0.12*${cpmfp}
55
+ variable yncells equal (5--5)/0.12*4
56
+ variable Fnum equal ${nden}*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
57
+ variable Fnum equal 3.59551014725462e+20*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
58
+ variable Fnum equal 3.59551014725462e+20*(6-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
59
+ variable Fnum equal 3.59551014725462e+20*(6--5)*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
60
+ variable Fnum equal 3.59551014725462e+20*(6--5)*(5-${ymin})/${ppc}/${xncells}/${yncells}
61
+ variable Fnum equal 3.59551014725462e+20*(6--5)*(5--5)/${ppc}/${xncells}/${yncells}
62
+ variable Fnum equal 3.59551014725462e+20*(6--5)*(5--5)/30/${xncells}/${yncells}
63
+ variable Fnum equal 3.59551014725462e+20*(6--5)*(5--5)/30/366.666666666667/${yncells}
64
+ variable Fnum equal 3.59551014725462e+20*(6--5)*(5--5)/30/366.666666666667/333.333333333333
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}/${xncells}/10/4
68
+ variable tstep equal (--5+6)/2000.80116755143/${xncells}/10/4
69
+ variable tstep equal (--5+6)/2000.80116755143/366.666666666667/10/4
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 3.59551014725462e+20
81
+ global fnum ${Fnum}
82
+ global fnum 1.07865304417639e+16
83
+ timestep ${tstep}
84
+ timestep 3.74849841235271e-07
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 366.666666666667 ${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 366.666666666667 333.333333333333 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 528090 child grid cells
100
+ CPU time = 0.421622 secs
101
+ create/ghost percent = 0.702311 99.2977
102
+ balance_grid rcb cell
103
+ Balance grid migrated 527129 cells
104
+ CPU time = 0.390206 secs
105
+ reassign/sort/migrate/ghost percent = 17.2289 0.0400504 6.19682 76.5342
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 2000.80116755143 ${vy} 0.0 temp ${To}
110
+ mixture air Ar vstream 2000.80116755143 0 0.0 temp ${To}
111
+ mixture air Ar vstream 2000.80116755143 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
+ 1068 0 = cells overlapping surfs, overlap cells with unmarked corner pts
121
+ 471864 55158 1068 = cells outside/inside/overlapping surfs
122
+ 1068 = surf cells with 1,2,etc splits
123
+ 109.215 109.215 = cell-wise and global flow volume
124
+ CPU time = 0.35422 secs
125
+ read/check/sort/surf2grid/ghost/inout/particle percent = 8.01462 7.65471 1.06005 14.4562 68.8144 2.67091 0.00368132
126
+ surf2grid time = 0.0512068 secs
127
+ map/comm1/comm2/comm3/comm4/split percent = 29.0909 17.7774 10.9321 6.74506 5.52281 3.19751
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 4498 cells
133
+ CPU time = 0.293509 secs
134
+ reassign/sort/migrate/ghost percent = 1.47854 0.021614 3.21952 95.2803
135
+ create_particles air n 0
136
+ WARNING: Created unexpected # of particles: 3640487 versus 3640491 (../create_particles.cpp:346)
137
+ Created 3640487 particles
138
+ CPU time = 0.0531485 secs
139
+ stats 10000
140
+ stats_style step cpu np nattempt ncoll nscoll npave nscollave
141
+ run 200000
142
+ Memory usage per proc in Mbytes:
143
+ particles (ave,min,max) = 3.82324 0 13.5
144
+ grid (ave,min,max) = 18.2252 2.45129 34.8263
145
+ surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
146
+ total (ave,min,max) = 22.0691 9.59689 43.2844
147
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
148
+ 0 0 3640487 0 0 0 0 0
149
+ 10000 108.63977 3690833 115772 99018 43 3645439 55.2397
150
+ 20000 276.48998 3957762 133695 116747 39 3747136.9 56.39985
151
+ 30000 493.31158 4019470 137335 120063 53 3830598.1 56.8415
152
+ 40000 717.88276 4028967 137890 120423 57 3879549 57.145725
153
+ 50000 944.5511 4032501 138699 121254 58 3909943.1 57.30704
154
+ 60000 1172.1264 4032163 138564 121148 61 3930228.9 57.435883
155
+ 70000 1399.0789 4033738 138672 121253 72 3944845.4 57.534686
156
+ 80000 1626.2273 4031608 138304 120925 56 3955816.1 57.59615
157
+ 90000 1854.2451 4033450 138161 120760 65 3964405.2 57.6609
158
+ 100000 2081.7974 4033158 138092 120593 53 3971294.4 57.70242
159
+ 110000 2308.4832 4034212 138279 120899 45 3976972.8 57.735973
160
+ 120000 2535.7629 4034918 138894 121426 39 3981805.1 57.77045
161
+ 130000 2762.6646 4033012 138324 120884 48 3985776.7 57.796808
162
+ 140000 2990.6606 4031466 138335 120947 40 3989085.2 57.820093
163
+ 150000 3218.3251 4034831 138093 120854 52 3992026.3 57.837073
164
+ 160000 3446.8388 4032207 137971 120580 59 3994668.3 57.844444
165
+ 170000 3673.4184 4032178 138647 121277 80 3996954.3 57.854776
166
+ 180000 3901.8816 4031455 138802 121546 59 3998915.2 57.859711
167
+ 190000 4128.8534 4032173 138194 120759 57 4000686.2 57.877163
168
+ 200000 4356.8964 4032172 138347 121197 57 4002273.9 57.889575
169
+ Loop time of 4356.9 on 128 procs for 200000 steps with 4032172 particles
170
+
171
+ MPI task timing breakdown:
172
+ Section | min time | avg time | max time |%varavg| %total
173
+ ---------------------------------------------------------------
174
+ Move | 0.037537 | 144.95 | 825.51 |1384.0 | 3.33
175
+ Coll | 2.6325 | 247.78 | 2717.7 |2698.7 | 5.69
176
+ Sort | 1.3619 | 98.268 | 519.65 |1240.5 | 2.26
177
+ Comm | 148.97 | 183.92 | 202.66 | 93.3 | 4.22
178
+ Modify | 0.042593 | 0.68142 | 11.567 | 191.2 | 0.02
179
+ Output | 0.0080404 | 0.24291 | 0.27264 | 9.1 | 0.01
180
+ Other | | 3681 | | | 84.49
181
+
182
+ Particle moves = 800454777678 (800B)
183
+ Cells touched = 835947648098 (836B)
184
+ Particle comms = 559576287 (560M)
185
+ Boundary collides = 0 (0K)
186
+ Boundary exits = 54830902 (54.8M)
187
+ SurfColl checks = 633584024 (634M)
188
+ SurfColl occurs = 11577915 (11.6M)
189
+ Surf reactions = 0 (0K)
190
+ Collide attempts = 34166651215 (34.2B)
191
+ Collide occurs = 25864820827 (25.9B)
192
+ Reactions = 0 (0K)
193
+ Particles stuck = 0
194
+ Axisymm bad moves = 0
195
+
196
+ Particle-moves/CPUsec/proc: 1.43532e+06
197
+ Particle-moves/step: 4.00227e+06
198
+ Cell-touches/particle/step: 1.04434
199
+ Particle comm iterations/step: 1
200
+ Particle fraction communicated: 0.000699073
201
+ Particle fraction colliding with boundary: 0
202
+ Particle fraction exiting boundary: 6.84997e-05
203
+ Surface-checks/particle/step: 0.00079153
204
+ Surface-collisions/particle/step: 1.44642e-05
205
+ Surf-reactions/particle/step: 0
206
+ Collision-attempts/particle/step: 0.042684
207
+ Collisions/particle/step: 0.0323127
208
+ Reactions/particle/step: 0
209
+
210
+ Particles: 31501.3 ave 225634 max 0 min
211
+ Histogram: 86 14 4 12 2 6 0 2 0 2
212
+ Cells: 4125.7 ave 4126 max 4125 min
213
+ Histogram: 38 0 0 0 0 0 0 0 0 90
214
+ GhostCell: 105920 ave 194636 max 5730 min
215
+ Histogram: 24 7 11 10 18 2 6 4 16 30
216
+ EmptyCell: 0 ave 0 max 0 min
217
+ Histogram: 128 0 0 0 0 0 0 0 0 0
218
+ Surfs: 200 ave 200 max 200 min
219
+ Histogram: 128 0 0 0 0 0 0 0 0 0
220
+ GhostSurf: 0 ave 0 max 0 min
221
+ Histogram: 128 0 0 0 0 0 0 0 0 0
222
+ compute 1 grid all air n nrho massrho u v w
223
+ compute 2 grid all air trot
224
+ compute 3 tvib/grid all air
225
+ compute 4 thermal/grid all air press temp
226
+ fix 1 ave/grid all 1 ${nave} ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
227
+ fix 1 ave/grid all 1 10000 ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
228
+ fix 1 ave/grid all 1 10000 10000 c_1[*] c_4[*] c_2[*] c_3[*] ave running
229
+ dump 1 grid all ${noutput} output/grid.*.dat id xc yc f_1[*]
230
+ dump 1 grid all 300000 output/grid.*.dat id xc yc f_1[*]
231
+ dump_modify 1 format float %12.5g
232
+ compute 5 surf all air n press px py shx shy fx fy etot erot evib
233
+ fix 2 ave/surf all 1 ${nave} ${nave} c_5[*] ave running
234
+ fix 2 ave/surf all 1 10000 ${nave} c_5[*] ave running
235
+ fix 2 ave/surf all 1 10000 10000 c_5[*] ave running
236
+ dump 2 surf all ${noutput} output/surf.*.dat id v1x v1y v2x v2y f_2[*]
237
+ dump 2 surf all 300000 output/surf.*.dat id v1x v1y v2x v2y f_2[*]
238
+ dump_modify 2 format float %12.5g
239
+ compute 6 lambda/grid f_1[2] f_1[8] Ar kx
240
+ dump 3 grid all ${noutput} output/lambdakn.*.dat id xc yc c_6[*]
241
+ dump 3 grid all 300000 output/lambdakn.*.dat id xc yc c_6[*]
242
+ dump_modify 3 format float %12.5g
243
+ run 100000
244
+ Memory usage per proc in Mbytes:
245
+ particles (ave,min,max) = 4.45605 0 23.625
246
+ grid (ave,min,max) = 18.2252 2.45129 34.8263
247
+ surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
248
+ total (ave,min,max) = 24.0871 10.982 44.6695
249
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
250
+ 200000 0 4032172 138347 121197 0 0 0
251
+ 210000 364.6602 4033222 138343 120901 57 4032842.1 58.2201
252
+ 220000 728.5015 4032462 138346 120860 47 4033326.3 58.21885
253
+ 230000 1092.6301 4031630 138010 120634 52 4033071.9 58.170033
254
+ 240000 1453.2276 4032891 138582 121265 54 4032846.8 58.140425
255
+ 250000 1803.0158 4033633 138521 121276 54 4032800.5 58.15734
256
+ 260000 2153.573 4034157 138432 120878 60 4033022.8 58.143717
257
+ 270000 2503.3296 4030818 138444 120900 77 4033020.2 58.150829
258
+ 280000 2853.4393 4033509 138054 120665 61 4033017.2 58.140163
259
+ 290000 3204.1551 4035252 138633 121258 57 4033255 58.141022
260
+ 300000 3554.0732 4034691 138275 120795 65 4033326.9 58.1349
261
+ Loop time of 3554.07 on 128 procs for 100000 steps with 4034691 particles
262
+
263
+ MPI task timing breakdown:
264
+ Section | min time | avg time | max time |%varavg| %total
265
+ ---------------------------------------------------------------
266
+ Move | 0.028592 | 72.868 | 428.44 | 961.9 | 2.05
267
+ Coll | 1.4922 | 135.26 | 1618 |2018.5 | 3.81
268
+ Sort | 5.6112 | 59.757 | 292.37 | 870.9 | 1.68
269
+ Comm | 86.738 | 107 | 117.33 | 67.0 | 3.01
270
+ Modify | 29.121 | 194.14 | 1078.6 |1608.9 | 5.46
271
+ Output | 0.19043 | 0.19204 | 0.19673 | 0.3 | 0.01
272
+ Other | | 2985 | | | 83.98
273
+
274
+ Particle moves = 403332686694 (403B)
275
+ Cells touched = 421182063776 (421B)
276
+ Particle comms = 281199641 (281M)
277
+ Boundary collides = 0 (0K)
278
+ Boundary exits = 27614096 (27.6M)
279
+ SurfColl checks = 319371101 (319M)
280
+ SurfColl occurs = 5813490 (5.81M)
281
+ Surf reactions = 0 (0K)
282
+ Collide attempts = 17497639079 (17.5B)
283
+ Collide occurs = 13235401236 (13.2B)
284
+ Reactions = 0 (0K)
285
+ Particles stuck = 0
286
+ Axisymm bad moves = 0
287
+
288
+ Particle-moves/CPUsec/proc: 886599
289
+ Particle-moves/step: 4.03333e+06
290
+ Cell-touches/particle/step: 1.04425
291
+ Particle comm iterations/step: 1
292
+ Particle fraction communicated: 0.00069719
293
+ Particle fraction colliding with boundary: 0
294
+ Particle fraction exiting boundary: 6.84648e-05
295
+ Surface-checks/particle/step: 0.00079183
296
+ Surface-collisions/particle/step: 1.44136e-05
297
+ Surf-reactions/particle/step: 0
298
+ Collision-attempts/particle/step: 0.0433826
299
+ Collisions/particle/step: 0.0328151
300
+ Reactions/particle/step: 0
301
+
302
+ Particles: 31521 ave 225764 max 0 min
303
+ Histogram: 86 14 6 10 2 6 0 2 0 2
304
+ Cells: 4125.7 ave 4126 max 4125 min
305
+ Histogram: 38 0 0 0 0 0 0 0 0 90
306
+ GhostCell: 105920 ave 194636 max 5730 min
307
+ Histogram: 24 7 11 10 18 2 6 4 16 30
308
+ EmptyCell: 0 ave 0 max 0 min
309
+ Histogram: 128 0 0 0 0 0 0 0 0 0
310
+ Surfs: 200 ave 200 max 200 min
311
+ Histogram: 128 0 0 0 0 0 0 0 0 0
312
+ GhostSurf: 0 ave 0 max 0 min
313
+ Histogram: 128 0 0 0 0 0 0 0 0 0
314
+ write_grid grid/final-grid.dat
315
+ grid cells = 528090
316
+ CPU time = 0.0662027 secs
317
+ write_surf surf/geom.surf
318
+ surf elements = 200
319
+ CPU time = 0.00320673 secs
CylinderKnMa/Kn0p12/simulation0196_Kn0p12Ma6p5/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/Kn0p12/simulation0196_Kn0p12Ma6p5/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 0.02073 1.7243 -1.7241 0.027084 -0.00020113 -0.012803 -0.027084 0.00022431 193.24 0 0
11
+ 129 -0.31871 0.38526 -0.30645 0.39508 0.46212 39.738 24.846 -31.013 3.412 2.7335 0.44386 -0.4442 6198.1 0 0
12
+ 2 0.49975 -0.015705 0.49901 -0.031395 0.01954 1.6175 -1.6157 0.076196 -0.0020793 -0.044092 -0.025411 0.00050427 177.52 0 0
13
+ 130 -0.30645 0.39508 -0.29389 0.40451 0.44205 38.022 22.829 -30.406 3.453 2.5926 0.41282 -0.43687 5967.5 0 0
14
+ 3 0.49901 -0.031395 0.49778 -0.047054 0.02041 1.6916 -1.6864 0.13272 -0.00036005 -0.0045749 -0.026495 0.0020129 193.64 0 0
15
+ 131 -0.29389 0.40451 -0.28104 0.41354 0.41557 35.924 20.656 -29.391 3.6367 2.5559 0.38158 -0.42151 5728.8 0 0
16
+ 4 0.49778 -0.047054 0.49606 -0.062667 0.01949 1.6084 -1.5987 0.1765 -0.00451 -0.040851 -0.025182 0.0021307 183.31 0 0
17
+ 132 -0.28104 0.41354 -0.26791 0.42216 0.39233 33.931 18.629 -28.36 3.6203 2.3781 0.34948 -0.40811 5350.1 0 0
18
+ 5 0.49606 -0.062667 0.49384 -0.078217 0.0194 1.6275 -1.6113 0.22932 -0.0094369 -0.066307 -0.025457 0.0025604 179.88 0 0
19
+ 133 -0.26791 0.42216 -0.25452 0.43037 0.36358 31.393 16.403 -26.767 3.4949 2.1417 0.31254 -0.38679 4983.1 0 0
20
+ 6 0.49384 -0.078217 0.49114 -0.093691 0.01934 1.5978 -1.574 0.27471 -0.012435 -0.071248 -0.024919 0.0031959 159.53 0 0
21
+ 134 -0.25452 0.43037 -0.24088 0.43815 0.34484 29.869 14.799 -25.945 3.5076 2.0007 0.28755 -0.37611 4767.9 0 0
22
+ 7 0.49114 -0.093691 0.48796 -0.10907 0.01898 1.5635 -1.531 0.31705 -0.0090311 -0.04361 -0.024189 0.004295 162.52 0 0
23
+ 135 -0.24088 0.43815 -0.227 0.4455 0.32179 27.936 13.072 -24.689 3.5205 1.864 0.26063 -0.35852 4499.5 0 0
24
+ 8 0.48796 -0.10907 0.48429 -0.12434 0.01834 1.4953 -1.454 0.34908 -0.024518 -0.10212 -0.023224 0.003879 158.56 0 0
25
+ 136 -0.227 0.4455 -0.21289 0.45241 0.30463 26.327 11.582 -23.642 3.4699 1.6999 0.23643 -0.34466 4282.6 0 0
26
+ 9 0.48429 -0.12434 0.48015 -0.1395 0.01729 1.437 -1.3861 0.37919 -0.017176 -0.062786 -0.022042 0.0049699 159.33 0 0
27
+ 137 -0.21289 0.45241 -0.19857 0.45888 0.27971 24.266 9.986 -22.116 3.4323 1.5497 0.21076 -0.32305 4026.6 0 0
28
+ 10 0.48015 -0.1395 0.47553 -0.15451 0.01717 1.3958 -1.3341 0.41042 -0.006976 -0.022676 -0.021065 0.0060904 139.44 0 0
29
+ 138 -0.19857 0.45888 -0.18406 0.46489 0.26305 22.694 8.6845 -20.966 3.1933 1.3227 0.18657 -0.30855 3728.1 0 0
30
+ 11 0.47553 -0.15451 0.47044 -0.16937 0.01612 1.3189 -1.2478 0.42723 -0.012325 -0.035999 -0.019794 0.0061451 144.34 0 0
31
+ 139 -0.18406 0.46489 -0.16937 0.47044 0.24413 21.185 7.4885 -19.818 3.2879 1.2424 0.16927 -0.29177 3573.4 0 0
32
+ 12 0.47044 -0.16937 0.46489 -0.18406 0.01534 1.276 -1.1936 0.45103 -0.016094 -0.042592 -0.019001 0.0064155 144.5 0 0
33
+ 140 -0.16937 0.47044 -0.15451 0.47553 0.22423 19.4 6.284 -18.354 3.0553 1.0461 0.1467 -0.27186 3201.4 0 0
34
+ 13 0.46489 -0.18406 0.45888 -0.19857 0.01538 1.2775 -1.1803 0.4889 0.0072466 0.017495 -0.018426 0.007954 150.12 0 0
35
+ 141 -0.15451 0.47553 -0.1395 0.48015 0.21092 18.198 5.351 -17.394 3.0468 0.9373 0.13191 -0.25849 3086 0 0
36
+ 14 0.45888 -0.19857 0.45241 -0.21289 0.01397 1.1616 -1.0587 0.47802 -0.0035474 -0.0078565 -0.016685 0.007385 141.74 0 0
37
+ 142 -0.1395 0.48015 -0.12434 0.48429 0.19943 17.17 4.5307 -16.561 2.9574 0.80906 0.11762 -0.24743 2878.2 0 0
38
+ 15 0.45241 -0.21289 0.4455 -0.227 0.01353 1.1249 -1.0102 0.49488 0.01234 0.025189 -0.015673 0.0081688 142.58 0 0
39
+ 143 -0.12434 0.48429 -0.10907 0.48796 0.1831 15.848 3.6997 -15.41 2.9107 0.69879 0.10383 -0.23108 2711.9 0 0
40
+ 16 0.4455 -0.227 0.43815 -0.24088 0.01251 1.0379 -0.91728 0.48568 0.029094 0.054949 -0.013951 0.0084918 133.43 0 0
41
+ 144 -0.10907 0.48796 -0.093691 0.49114 0.16661 14.469 2.9342 -14.169 2.7642 0.57243 0.089506 -0.21356 2469.3 0 0
42
+ 17 0.43815 -0.24088 0.43037 -0.25452 0.01204 0.99581 -0.86499 0.49338 0.0376 0.06592 -0.012996 0.0087852 138.96 0 0
43
+ 145 -0.093691 0.49114 -0.078217 0.49384 0.15568 13.507 2.3222 -13.306 2.6809 0.46789 0.078586 -0.20165 2305.2 0 0
44
+ 18 0.43037 -0.25452 0.42216 -0.26791 0.01073 0.88252 -0.75247 0.46112 0.036475 0.059521 -0.011246 0.0081778 138.43 0 0
45
+ 146 -0.078217 0.49384 -0.062667 0.49606 0.14401 12.517 1.7637 -12.393 2.4567 0.34964 0.066292 -0.18916 2155.4 0 0
46
+ 19 0.42216 -0.26791 0.41354 -0.28104 0.00967 0.80341 -0.6715 0.44109 0.072242 0.10998 -0.0094127 0.0086558 130.44 0 0
47
+ 147 -0.062667 0.49606 -0.047054 0.49778 0.1297 11.248 1.2342 -11.18 2.3552 0.26001 0.05638 -0.17152 1917.1 0 0
48
+ 20 0.41354 -0.28104 0.40451 -0.29389 0.00894 0.73784 -0.60367 0.42426 0.10027 0.14267 -0.007907 0.008905 124.77 0 0
49
+ 148 -0.047054 0.49778 -0.031395 0.49901 0.11849 10.335 0.81087 -10.303 2.2733 0.17892 0.048445 -0.15902 1840.1 0 0
50
+ 21 0.40451 -0.29389 0.39508 -0.30645 0.0081 0.6565 -0.525 0.39418 0.12341 0.16436 -0.0063079 0.0087732 127.35 0 0
51
+ 149 -0.031395 0.49901 -0.015705 0.49975 0.11219 9.6946 0.45668 -9.6838 2.2974 0.10834 0.04326 -0.15041 1754.1 0 0
52
+ 22 0.39508 -0.30645 0.38526 -0.31871 0.00753 0.6098 -0.4759 0.38127 0.1284 0.16027 -0.0054584 0.0085062 120.46 0 0
53
+ 150 -0.015705 0.49975 0 0.5 0.10392 8.9791 0.14104 -8.978 2.1752 0.034171 0.036382 -0.14048 1617.1 0 0
54
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