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  1. .gitattributes +6 -0
  2. CylinderKnMa/Kn0p30/simulation0637_Kn0p30Ma5p6/output/grid.300000.dat +3 -0
  3. CylinderKnMa/Kn0p30/simulation0638_Kn0p30Ma5p7/output/grid.300000.dat +3 -0
  4. CylinderKnMa/Kn0p30/simulation0639_Kn0p30Ma5p8/output/grid.300000.dat +3 -0
  5. CylinderKnMa/Kn0p30/simulation0640_Kn0p30Ma5p9/output/grid.300000.dat +3 -0
  6. CylinderKnMa/Kn0p30/simulation0641_Kn0p30Ma6p0/output/grid.300000.dat +3 -0
  7. CylinderKnMa/Kn0p30/simulation0646_Kn0p30Ma6p5/output/grid.300000.dat +3 -0
  8. CylinderKnMa/Kn0p36/simulation0760_Kn0p36Ma2p9/Lambda/Lambda_0_300000.vtu +0 -0
  9. CylinderKnMa/Kn0p36/simulation0760_Kn0p36Ma2p9/Lambda/Lambda_1_300000.vtu +27 -0
  10. CylinderKnMa/Kn0p36/simulation0760_Kn0p36Ma2p9/Lambda/Lambda_2_300000.vtu +27 -0
  11. CylinderKnMa/Kn0p36/simulation0760_Kn0p36Ma2p9/Lambda/Lambda_300000.pvtu +21 -0
  12. CylinderKnMa/Kn0p36/simulation0760_Kn0p36Ma2p9/Lambda/Lambda_3_300000.vtu +27 -0
  13. CylinderKnMa/Kn0p36/simulation0760_Kn0p36Ma2p9/grid/Grid_0_300000.vtu +0 -0
  14. CylinderKnMa/Kn0p36/simulation0760_Kn0p36Ma2p9/grid/Grid_1_300000.vtu +0 -0
  15. CylinderKnMa/Kn0p36/simulation0760_Kn0p36Ma2p9/grid/Grid_2_300000.vtu +35 -0
  16. CylinderKnMa/Kn0p36/simulation0760_Kn0p36Ma2p9/grid/Grid_300000.pvtu +29 -0
  17. CylinderKnMa/Kn0p36/simulation0760_Kn0p36Ma2p9/grid/Grid_3_300000.vtu +35 -0
  18. CylinderKnMa/Kn0p36/simulation0760_Kn0p36Ma2p9/grid/final-grid.dat +0 -0
  19. CylinderKnMa/Kn0p36/simulation0760_Kn0p36Ma2p9/output/grid.300000.dat +0 -0
  20. CylinderKnMa/Kn0p36/simulation0760_Kn0p36Ma2p9/output/lambdakn.300000.dat +0 -0
  21. CylinderKnMa/Kn0p36/simulation0760_Kn0p36Ma2p9/output/surf.300000.dat +209 -0
  22. CylinderKnMa/Kn0p36/simulation0760_Kn0p36Ma2p9/surf/Surf_300000.vtu +38 -0
  23. CylinderKnMa/Kn0p36/simulation0760_Kn0p36Ma2p9/surf/geom.surf +610 -0
  24. CylinderKnMa/Kn0p36/simulation0761_Kn0p36Ma3p0/Grid.pvd +9 -0
  25. CylinderKnMa/Kn0p36/simulation0761_Kn0p36Ma3p0/Lambda.pvd +9 -0
  26. CylinderKnMa/Kn0p36/simulation0761_Kn0p36Ma3p0/Lambda/Lambda_0_300000.vtu +0 -0
  27. CylinderKnMa/Kn0p36/simulation0761_Kn0p36Ma3p0/Lambda/Lambda_1_300000.vtu +27 -0
  28. CylinderKnMa/Kn0p36/simulation0761_Kn0p36Ma3p0/Lambda/Lambda_2_300000.vtu +27 -0
  29. CylinderKnMa/Kn0p36/simulation0761_Kn0p36Ma3p0/Lambda/Lambda_300000.pvtu +21 -0
  30. CylinderKnMa/Kn0p36/simulation0761_Kn0p36Ma3p0/Lambda/Lambda_3_300000.vtu +27 -0
  31. CylinderKnMa/Kn0p36/simulation0761_Kn0p36Ma3p0/Surf.pvd +9 -0
  32. CylinderKnMa/Kn0p36/simulation0761_Kn0p36Ma3p0/config.txt +78 -0
  33. CylinderKnMa/Kn0p36/simulation0761_Kn0p36Ma3p0/cylinder.surf +410 -0
  34. CylinderKnMa/Kn0p36/simulation0761_Kn0p36Ma3p0/gas.species +14 -0
  35. CylinderKnMa/Kn0p36/simulation0761_Kn0p36Ma3p0/gas.vhs +9 -0
  36. CylinderKnMa/Kn0p36/simulation0761_Kn0p36Ma3p0/grid/Grid_0_300000.vtu +0 -0
  37. CylinderKnMa/Kn0p36/simulation0761_Kn0p36Ma3p0/grid/Grid_1_300000.vtu +0 -0
  38. CylinderKnMa/Kn0p36/simulation0761_Kn0p36Ma3p0/grid/Grid_2_300000.vtu +35 -0
  39. CylinderKnMa/Kn0p36/simulation0761_Kn0p36Ma3p0/grid/Grid_300000.pvtu +29 -0
  40. CylinderKnMa/Kn0p36/simulation0761_Kn0p36Ma3p0/grid/Grid_3_300000.vtu +35 -0
  41. CylinderKnMa/Kn0p36/simulation0761_Kn0p36Ma3p0/grid/final-grid.dat +0 -0
  42. CylinderKnMa/Kn0p36/simulation0761_Kn0p36Ma3p0/log.sparta +319 -0
  43. CylinderKnMa/Kn0p36/simulation0761_Kn0p36Ma3p0/mir.txt +3 -0
  44. CylinderKnMa/Kn0p36/simulation0761_Kn0p36Ma3p0/output/grid.300000.dat +0 -0
  45. CylinderKnMa/Kn0p36/simulation0761_Kn0p36Ma3p0/output/lambdakn.300000.dat +0 -0
  46. CylinderKnMa/Kn0p36/simulation0761_Kn0p36Ma3p0/output/surf.300000.dat +209 -0
  47. CylinderKnMa/Kn0p36/simulation0761_Kn0p36Ma3p0/runmpirun128.sh +18 -0
  48. CylinderKnMa/Kn0p36/simulation0761_Kn0p36Ma3p0/runmpirun64.sh +18 -0
  49. CylinderKnMa/Kn0p36/simulation0761_Kn0p36Ma3p0/slurm-28429845.out +205 -0
  50. CylinderKnMa/Kn0p36/simulation0761_Kn0p36Ma3p0/surf/Surf_300000.vtu +38 -0
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/jfcPOfNiBA==AQAAAACAAADARAAAhQIAAA==eJzV299L02EUx3GzzWW5nL+iGmnDqMicKyRbTPSi4ah1MxG9iSzxpqtURKwLGVLECAulqITWiDC7CJKyCJYzMUdKpUlSmDgS11AZrWJamknP+Sfeu3ndfhnPdr7nOZ/jep59cW40I+CC+Km4uepBI8fTAx/yardxjDjMqyZ/OsZzby+PTVVzXCz/er9Tw7Hl/0FOw6g7ddOZ5eR4dSaWMxY1YNxy9sSPtg6OLz57VmqLOLYG3vjsvakY24dbHH0rmzH6PhZGD9s5Pg5Frvdc0WMMzN+x7R9PwfguvlbojBynEpM9OTWbMC7oX1puPdyIcXlrw0R6LBnj0d8LcwErx3LtvfYj7g0YzxiqrE+COox1Rv10voGje/erS12VSRivHWjKN3m1GL1rVe72rAbjo7LQ+UwzR7/rhqmtcT3GkZPHgzp/IsbMkteTTzUcc49daC1wrsN4sMKyr7sjAaPqO1f7KKo+7i9G1RctY1R9xh+M6r19CaOx4MuuJPciRqu9rH4pNY4xqCvurPD+whje0fXNYf6JUVuYdsjmj2FUdfk7xrtFWd2W3ihGVTfmMU779r7fE4tgTKjsqck1hDHuTLHFs80zGEv7Bz3bnSGM6hxPYlTnYgKj+p5HMarnHoL5jCPto567hOUQRvndYZT/NYxSNzBKXcYo7z0Y1bkIY5T3dozSF2GUvhOj9PUY5d4Eo9xLYZR7P4xyr4pR7q0xylwAo8xdMMpcC6PMDTHKXBajzL1LKUquAKPkNjBKLgaj5I4wSq4Lo+TmMEouEaPkPjFKrhaj5JYxSi4co+TuMcpeA0bZG8EoezkYZe8Jo+qLOMreHkbZi8Qoe6cYZa8X4z/49MZCAQAAAACAAADARAAAlzoAAA==eJxFXHc8Vf//j/ai0kA0JEWSKGk+S1YaRiUySrSjRJq0qQgN+7r7nnOnrCRJIRpSSok0FC0ViTb1e5/78fvyz/txzr3n3Nf7tcfzbdrxe1s/DYnDgYGFgVoz4tBREzP0jE8cWhuSVZNS4+DMdWxY9DAOSROtGkO+x6E83blqu0E86oe3Bi1cHo+p/T+zNhyOR0wpL2xETjxeGQjumDbFw7JVNnO+aQLyru17dml1AhamPcoacz4BpaYTNp0rTsAcvtWuoJYEeCo0EuqHJWKWaq57vlsidhY3Ux4hicgyXLUnITIRvCFPpqblJuLdiPHvp7Qlou+LWNuey+IxK11nbPe98fiwfmjZZEU8MiK+Zxx5GY8r6vO3aExIwAL74aaHPRLwiz/X2z4iAd12de/54nYCRnVMecLvmYgPj+Luf52TiOu9L3g93ZGIQZnGiT8Fifj27UD5zppEeLr6mF/vmYTFePWpyiwJrg7324b4JqHlyIlH2ZFJCLybOeFweRI2Prk67GTfZDhHDAv4ZZ8MTlqT27ZzydhUUYHCkmScXthhsq08HrVbqrRejkiA4ZoKK1XbBDwZeuuT8b4EnDi0UOySlQCu1o3eIe0J0Fzga+A8JRHuTyWXn61NBNsw2Ns3IRGTe+8T+xcnItGp8FXPwUmo/O2h+sUxCXYfHl7Tj0vC6aYxIVRFEnaaBcrG9ErGdYOtjxZOSwarJPL42J3JeO79UFMhSMagd696UJXJGLKUe8JmQAosf6yK+eOaAnWjQN36Uym4ZPA8/lbPBPz+qvpJsDwBDhVr3g8WJCBcUXNn8d8EOKqmBH1ZkoiOY1keZX6J2HIsjPK+RNaNiU9deichUmRfMMQ+CXv6608Mi0rCyA2b5gy+kQSbRfZC//YkjNs6UPRdLxnpJQGclRvIuksy+HdSMsrsXB4WVyRjWHf95PmDU+Cn4D3ytk5BwPSPUc2RKUjULGtbfCMFMdQ+s3/vU3CyUXFYMYQFq/3fWip2J4B2m94n6EoCLN7uujF2ZCKKTi1XHHdPhErA8CnDwxORZ9Jed6AxEbt2hr+OnpGEpzrvLF55J+H6ueEmsvQkXHrQ7YUqkeNn9fO13+cmo85vZG73XcmYmzrJoW9hMi7euLOpoTUZl4xOfjpqnILbq1QNM7am4Ma9obMuZKRg6r2Xx6x6sDDQv5vFGCsWLuV8yV+xjYWCEzm+jWksrJpX1lrXxMJLLf+VQ2oSMPHxPN0YrURY0++euzklYuTTbtvmH0uEzZdrcZ+qE1HusUtXapiEhd12fKoJSsIKqXWNx50kxIdsMZmhmYxdZWot6h7J2GE1VlWNl4z8rJDa42+TUXR8zpGRhim4Ylt2eNSWFOydX3N+Uj7h35+GifOHsrBYt+HbWhcWhNvOZI8MZcHrd4LQrISFU+f+6J5STUXCCv8ZhTNS0TFVsdR3fyoOFkx2k/ZPBD/TZ+l6Z0LvKRWiOokYH2f4dsz7RJx32GN1AUkw6Xb6oehgElrf27qtuNFF55ef39MWrEnGnVfnluknJuPP27+NgS/JNX0zZ4BlCg5nMoaeApUp5tvOf0vB6cpBK3+as7AmWe/6By8WPrcdzbPnsSC2VMtfTfi3/t+cgZr6qSA/8kHfIxXzlyWaJselwlwweiB9NxVhowRzWncmosS1IvvGnUQQJby8tW8SZOladUe2JeHg8w/3NO4nwcss+synwcl4OXXO9yy3ZLhF5VW9oJNRufl5r4uEPt6P0kHddFIArfriT+tTsHLKtUq/0i46t9qk1D8zYGFWL78Luw+ygJXHe62rYSH//SR78+Gp0BbWGTY4pOKDn+RbmCAVg0saBpq2klX8d4H+QjYQvCC0jMVG7cmzsfa1iVj3zU6zl3ES1ke/8fp2KAmPGDbkE78zqLvXH9VkzJubs/66ezLaLW7sKZclo3B02N/9X5Lx9vb0nmazU9A3gJFoCnqnzIo59S8FjybqJz2ezULLZPnI5mgW+tw03j+kmoU64/FliyamIstg+M9TAan4PckvbYA0Fa2jH25f05sNF7UNGmvd2Hjz6J7pRRFZL70nO2Dj3CyVpccGcjAWIy8HOCTBsjpF8+y5JCy9krgh70kSGt0H3fljmQzx8lHP+0QmY/RPTbnl42RE/aj/XjYhBTs+BrAbY1NQkzH4xBPCv/AGv9euC1jonxzvpnWa2E23lc9yiR7aSZvb+T1SMcfMNeXfKrIO23G/lU4F4y1pVTZCF/Tvq+nFxn3egJVT49iYGv8h4cQlNm7fcq+uVOPAmjrQR2rLQdA333PtJzj4MzdjWVxzEgaNTWNdNU/Gmwq92l9hyfg3esISzfJkREQ+q3ysm4K2U/SozTtS0KySN2VjDrHrDJMAgQrrf3SWf8hMrD7AQvw8peAQ8qsq4pttKoYve9g+VZGKJVHrf49/nQq77ozn6+LjtYFTvVulbERqhmie+8vGzqJjD+TbONieP5vskAMjt/pts1S5QH3R4VhjLkpKnC+fXJ2MhDns+NG5yWieHX4zbHgK2tt/1F1cnALH2OqmUdwUZEz7ItD+ngKLxrHazwl9KkURQybvZWEOR+XbhkcsKC/npKJUsKJIYx+Rs/fCHZ6lqXh3Y9TTm/3Y4PeR1NasYiP89opCsZCN9c7VNg+6d/HvSqhrkqGCgxs9uc55bRwwV9fGc+EQf87ptxUXa8cGrXfy52JleOCME1XEbpb8mCWZkoKiTa456ntT4Pw9fmdBNbGXl/4vLA1ZWNvt1cKT8SyM2/B9b9TXLv69n3rHfEpEKv7dcTjnUpEKHr9x1azRhF8uVulSbzYUxQ9W5l1hwy3o0NroUUT/bi3oa+7PwZqJa2drZnCgqxewbHx3Lq4tquRuGsXF4wvB8+Ys5mL86q97Vodx4f+6ISyCz0XAsBvznxRwwVk155v90RSYjRINYVekgF/ZGmA8kfi/bvTuljAW9MxH5M6pYuHARYGlnW4qmj7HNxzySoVpXv5MT1kqTLSVT+K61/ePy3azcbS4v55LJRstNvvzY4n+zWbMxJGDIRttHllzONi7209u8Y+DtvbNglm6XJDkZ0KqPRe9jnTTmhXCxR93Y5uvcYSvD+5cvS7nwsVgerZKNRfHKo+MCO3Jw49eaxKXDGOhKvq1zq5gFtwLty+MesLCoweB0zMndfnpmoryv/Mvp0Lr3XYSEdiQGk0bVLaBjclehRavb7Nx8GrRkT8qHJy0GTA7ahEHX/tf0N+bxsEy62s5Yb850Hjs0d2DyDdv06095x242Hfai79vKxeJV7fN9j/NxejvViq1hVwc37/+hfQjFwNn1LUW9+FBq2TnYtlYHiqsq7+0OfAwzSHh73gJCw/eq63b2C8VEy+OeBCyJBXOw5Z/mMBKRcDSvMln+rPB0urYZLmeDf3cM5k2D9nw0UxvMBrOwXefq86TlnDg63OCVcDmwEzPeZP7Dw64wuuqiWZc5Ezhjmjy5OLvpbO6Iw9zYTllGREVF6c/X+T+KOXCWRDr59rMRfv28bMtVHloGPzMvkaPh/K3gZp31/AwyGPftMfnePCbN6YiKZuHSEmbxj3iB+vFz6wnl6eCtbno+7mpbBhE/olZEsEGOzM5bUIeG1dn3Tz0ifjBwBiRupcTB4MbuMeScoidrN1RrtvBgej5e995Y7h4/eaDpzPhn/oE09QqYh8tNbOIq+SiZj+jIdzOPISLAod5ISMm8mD/at/QNDseVvI/TX5zgIeUYA+9ESwe5rKuB6++xMPIguO76p/z4P10h5v2Tx78O9o408HGat+KvryjbFh5CZ2GF7CxZp1x5ZTBhK5pG4Z8O8LB3NAef7+0cjrzIS60f7ydsWQaFy8jjh6buIb4m1G/m1zjuQhUJl5cGKlM7TviKxeql5reStR4SPZmXshDxLYxXttW87CFf99OK5CHzS798q4Kebh1kbeOdY0HtSvNmqP+8KAy/eI2xRQ+JkwxU7lmy8e4ZRNqGnfy4Zs7q9vrNDbUU27d7WnCQQ9XtcmZqRx8PlI4fTfxK58HFpgmGXXZxY3Eth8ue7jQurB35caLXCh+hhdtJPomCrfoNnIQD8ptm/Bgsiv2ydFFvM78iAdlWZDDQ9UoRlF5YKg27MFHyMhHYVsn8DFfc0/TXE8+DoW9vLY3kI+ia320zU/yUS9KuTEmnY/481futzzg45V129aPNAf/7o6Zl17PwXrp2hUuE7hoSsybdGUtF6Eh13eVRHFxdZrNocorXMz8bDhzwvcueWavXOQ32o/XGcd56G8X65AhIPoWP7fvtns8/Lv3/f3AHzw8+3LlQ7wuH+/+SFoeLuWjzM+Sff8QH1dlo0zVkwi9f87omcn5YLSLVCyoLPyNiF98/J1w8Ee0tgAFS4aO3TVbgPrTd8cdNOUiP2Rzsc9mLiZf8NyeIuHiXYONQd0Tbmcdw0Pe4OHDAmfx4Pzi5gMddx6MSVYr3delb7+mDOpxq4LXWT/wocGUXZZ8BH9ZsumsGx9nbJL39N7Dh9Gt+7ZpKXxoT2tz3JHBR2j3cyNtqvgoVwxy9e3bRde79qE3D68SoG59+OnMMAFaZ72OHSgUQL/f5I9/M7hYN8SEmCYX98PbzY/+5KJ/9myh5hgebnLE29yW88D37R2XG82D4W5OvaCEh7PESwS08bDitPdAJ20+WMOcNULn8dGatu/6HD8+cjFioFYM4Y/1+uLkO3xkmDOFLR/Taof9XqslQP7t7Q9uuwgQv7p5xtNAAR6t+2L6OUWAP57+JX8zBRi5ad67gCcCZKorC0Hs5i7bGzxOCOGL5UTEPLzdnXx3jwcPOjmT72yL5eHKQWPriOu8/9JDom/+pZtPGLXzQHzek+rxhC9xBz6ZOPGhbtjLftphPmYXbS6MLOAj4WbymQVNxC7s6p2u9RfgTVPQgWxLAVbdX9Q8co0AferpwO2EX0dOf3z5LUkAoxUzRhysFaAk6sv3MT2EKPjGOEghard/tiYlFTbkK9qebhNCp++06kd7hfh37tp+u9M8/MnMXh50mYfo26//jqvkQRay1H7rAD5cW3XONLvwkVWp3qh3nI9qh/cmJ7P46G2VeajvMz4Sf+9dfqafALXD11vc0if0uDFPCqBSqDM3bDu5nl0iXZAoQOWQSYIz9wXYdVZhQhO61rs275g9TYipGb9yLVYIse7o8XPTDgph/WInycSEIEly/iqFEJGRgp0aF4Xopwx4wv/RNeqUaqieIx9aKsOix8TxoZnh2K3kFh8HDjWVJX3mQ79Z547TMKJPT5mEWYBZPX/V3NolQMOyD2s7OAJI8+wsVpUL8HjM3c/eTQLEpYY5jTAU4lUOU4gJYeszwkb9gBAbm6NyjE4KsbW6+eQuqRC0YnChZa4QsT+kcX2vCXFXv7En560Qc43+Np/oJ4LGkZXfvs4WQWXr47S+m0V41Twia7yMDzcmjajlQ1I4bcDowQLc/tfQ/MK5S9+9eerxGTwBiLNrpksFcF6WLYv9KsC4YaXDj+gI0cd9+JJ2ZyEOilpfuR8RYqVoclpLEuHHvFUeGYSOLUSbtF4Iwf74Z0fsIBFGH//onDtKhDpSZepYiVCwrLHs4TIRjkZsfvlsjQhVM0wvO/sRege6fBm6U4RWd3bv3RtF2Ee86PVRAjSu3s+RWglwXrjV4OU2AdQcL5xff0KA3LIwUhEJoEwP1Lv06v/pGrX9q0dwphAjqn31RDVCJB1sW5rcS4T003syU7REGFgfMEgxTISrxZ8r0jVF2KZM0ESgEo9yBStFaJu2NraN8O1WxrcBrxJFCFMmkiLIEl5uNqsX4fn5r6v7Pheh8A7PJqdVhCX/zq6giH7Vca/+3vNegK/lFjOoCUI4phnG1rgLcXI8YzFCxNwoq7zMF2Icyea35AvRMqjUsZ7wa8eEwa/W9BCh/MLbboU6IoxQJrIiRGgyAUUE18OrB4yiREj6tm7ihKci5PcK/fD5vghZTHlbLcJJn4ipH5pFnXkUBcddt8p3dKfwNFpyJbM/Bdm+X6kG5hRa2hzcwy0pWO3JDryxWogcNbXvBuFCPJXqExciBHEexkavhbh0QH/83AEiHHti4m9pLMKZRG74dh8RFrXezLY4LcLg13dqZgtEeJ9fauJ8VYSmrDtLNneI8GtDyshKDQpMNyRSk8JVnRBSqlKwGP0k/FQghQf6GcJnoRS+DVJ2fpA8b3Zd3joKPspEn4Kv0hAomFsEZ8GJQn7wOc0erhSYLt/0CiH691FETNEQgRPyc2umLZFP2PDFZw6Qta+GbVamCBt+Os5wqhMh6HKhU8QwClUK9rkXMygM7qaz/zt5/6etXkzrB91ueF09FUXBxvdz87YYCvdKHe5mnaWQcntG7bNECrxBKhFOIgr97y8uKc2n8PB1lM+yCgrx8x0+PX1BoTzk+Dy3Ugr/5l/2fymgOutOCgsVm18EnqLQY6z79R4BRG6GcysXRxH5ZCy5Zp0vQt7R6iSrdyLENWudrOhDfp9E4z2gMOyMz7DtfhSOMm26zRRmR76QHNpPofvDv73dZBR+SpjEmMIc3hPOjXcUdr3JmqPeREEZ1r9QcOblXf5ZS2H+03/dtj6mMOjcjrExdRScAmp/iK9RUF97Zg1uUDjGLpfeJ5/PbWFNHpNNnn/uQURLQRkGtCj0XLpYHmVL+F2XPPv3GnJfeC2h6CgFeezXc1s4FC6MtTSppyiM9J2Q34OmsPLpa23ObbIPtr6X+S8KfiHDry5XoSErMySZGY3UvK/EomkwVc51PRr5jSqtsYY0+vc7anbagAZ9VoV7aiSN72EC3RntFLbNP5a78zsFpuskf07otU0P7LhCwfTKBPX+F8m++gQb+EspnFv1TjP2KoWPQReH/SF8iXFm7535iUJf4Y20z5+J3jPt4GE0ot2/66fPpPFOLKjf4kcja+In/vvDNO68cLk3Yj+NhX+TFhxYSyOCZGt1ZF07pk8sz5fG+6Prt73fQMP/75pdDfY08jZ6Cd7Mp6Fj6KH/2ZbGehWN3F0zaJTMGDrPg+zv+ed9m0kthj+zdtw78ZCC9on15hFCCgeUBRaFUStezyol9Gzx167duoDGEde1txpdaThmbBn0NoSG3p8xZUdO0iicOc5h/1EaP27uf3znGA37ooJUa7ImJxQ3zQ6nMWHjxKY952jsQN1hFXJf3aDk5gSyr1d9r/7Vn0dD5dSZ8UHGNI4Z3hG19KdxUXPOkj9vKbTtUK3cTPhZcHVrRQLR3/vGfZ2WE759a6X0hhE97hv45lPqAwrC0mOJiwl/L49IHHYqmMYUZaOCxup8N009mkZboRmxTBrCm83+v8mqTbTYIo3Qdc1mwmIFDabaaIqhcZBEsfPHaTTfMdH0DKLhVcS7tGcPjWuTjvxTEHr/6yfTKOAe7xFlQsPAecrPaRMIv4N89xUNobFs4YpX94lerzTrtiKwnujrorwNX8spnDeT8AZep9D4Ple7Jo6CRg4nqsWHwszLL3kTK8jv+/Yyqn9JQ9lWK6fx2UjYLnxKI3xl/pm9DTTORU5Nj66n0V5/dcv6IiL/V1m7dqTTym65VjSNGX+6v8kJJdc+T2f8WEXjjJX7z9+raZiUPVn/05HG8exSroYVjaslxfvVCJ8Xv/nch+5J9s9rOx7bSoG/sM6eW0hhVc8tU/ckdvm5JxpeI8J2EDuyfLw68Ti5PmVx8/JSMXbdtrTNtBPDs+fUiotTxEg7ovn+6QgxMk4wDp3GgVDF4tMVXXQmzPQarpFCw3WSRpiEQ+MBUz770+g4ah+u40HjPPdaxTjC10eVdnXqoFG6pfWfdBx5LsgwzegPheB+X7POfKRw57oKKbEJHcUJJ/WInu4ffuzrvGgKnvPOnh0VTvxwn27Rc4n/CWr7eXXpQQrPPdv9HWPFcJq+b/r8zWLkXX+TscFPDEYavazFSI+9bCa2EMPvPrvskb4Y881PqH/6SYPx4gG1NDaLne3NZERfpmbd9z1PI3dOVdSAnV183Lq+aArRRYw5uNmZ00Dst4dmPF52+VsDZSOEwp6F2sMsa6jO/gCFvF+2wffzKBQVZ29vukDBcvKeB6uIvZHkbNbYYDFez+0dP47Q2SoXDnvpJMaK2cWP4meJsXae+1RPXTFYJ8JIaUpjj/Xxxrevid5dLrrieYPojd2pW+mnaNyqyDjq4EmjeMDpCUcsu+h1WLfo8h8dGkF5xgYWo2nkLB6ptrg7jYDiiX1GvezyS4tVHz3KJH5ruf4a4pooKMsuEkfGHc/88o3c5zFukfjn2E2qNsbrxPDWeKh9dJkYSnWbIcarg5NqMgaLkT3vTaJxEw33G+nFiYReqdplrYDrXfb30mL52FHEf2z3G/XrKPFv//XraNzt+7ThyyIa6xYzEwga1CWm4Oiys8Gj/HUyhtMImzXK3Incjy+zJSUQjfvPFhb9+EtBOUYh8eZkv8flJWRffW6rGuwg+sN42wJfMdRZ5vxsQmeq7/zv+37QOPwhO+AosTd2Vs9jVcU0WqrvrzM8S4OJGr2SafwO/fe2hNDJI9nEc+IPepQNNovd2LX6ZSw10t5KY/rndckfvEkc2e8X9HgO8UNUUtMuFxoXsqMe7TeiobbpQ7+cwcRvv1x66dMgGm+s3qwpm0QDs5jI2LW+GLN60lMip72qPrTbdDGe2TKNTjFIUTZ19CAxrLel7zj7lsbZ9O0kA6MxaA7jIWm4fG3U6Z5J4tchg6Jw4vdCx8cOuZJD/PLuHLvtuTSqSRReRuwxtHxnzXsWjdHKQEf0xSMtbBvZr2dM0beJRG/cXJPPHwkgnw8p+DFjU5edBqXarjbaTkNxsmcBn1zPnmZs60X2PeCWd/NfwpcDuQ25y4me5p9zjPHXEmO4eVHtUULvtyeTjHNHi1FtVPh6B6H7oPlUrxOPiRy3px688omGpveir57E/1XpjEkU3KRhoUzMyfdqNfRzrpDfLzjY+pro9+ztvlnjyHN9djoVLSH2GVQdevNLNQ2Wqc+0SeT6av1Q3dtvaIjrp3aPa6HhY6ES/uZ+l9+seOz6acqVLn96oHWkgbaQ2P+bhELNM+LOPqsYRrM7uCYuYiy+vXOIwxox9q4OqzNyFHf2dcS4cfFpsfdEMb4UL7A6T/yf0m2QVXfl0kG7yD6lLQ+XriP7fr36s8+UoV3f37rIbmYi8Z/neUbUQ/I+UoTu37BIjEuZ1huTbMQwkF7qleMgxhrbjGcPt4gxWX9t8N6grs8NDbYfSmoWY8u0y5rdP4oR36jqvaFajBM1ZTmVVeLO+a0Y/dhWaY+yxHCc+7AuJ0cMFd63L+v5Yoyx7RNjEU306fCsNw9Oi/GvMfDlllQxcobkLX4tF6MiTHhigIzwY+7F341SMUYV+yJSJMZVlQ0FRzliPG6UyVQvihE1pG3EvhtiKNuL98QIDDLS6ka+bxmx9WLEVTEEe+IuLm0hdBz2fH2ruwTr/8Re8uwQd/a7JBhqELVh/R9C35hPQ2W9JEhxZb4pBjOVaH9G+LPRW+0K2edhK6azJsYVkiWyx0gQIzvjtVlLgn1/gh7EkvefzXjafq1RjB5KQ5Cgg9+j4/goCdalGr00HyKBxbu6pAp9CWqHxkRuIZ//czuhdnicBHmbzUmoloCfdVdvqIcEGzbTb3celUBlhF/Z112Evk/X7i1NkaB3jkO6JUuCcdW5f704EijHQ/sknXW/BMqf4UlgqmaiG8SW4OvFjfE9xBJkM24kQQITN2n/PUkSjH/rvmhSgQQselbDhlxJZ/9R0jnXkYBryXTKJPAMzny0j6xxg+TShJeSznpditaytVH2Q6XobyQNE7VKsJq8jfdFglUG7S7YLsXY2MU6e8dI0dS40i94vhSXDEeNeKwnxdsx7zetXCxFhc3CUsEKKV6edJ8SvlOKApPig3mHpXBTKajND5RiXlwl+2yQFBvzniwKdZfi2LGJJNOR4ibJGnp7SaHDqOkhKUp0mQJViiD7LTw/8p7/5nhSEKesPjFFiqFzv0x1I+8TbbnSt2CzFNOZscl+KVJ0JQWtkVL8rLtIIo4Mpl8zDYb/lIJzps/ptfVSpLsV2zR9kOLuvqnnNT5L4bQzYqnfWyn2JET+XHZXimdqAyOdn0ix0mTF34v5UhwdEdpzc6kU/3YzAVCKFRZyiXE/GZZsm5c2cJgMBjsLtdo7pPAjVfQc8nvnoneapnST4Qm/5yaPcikG9Hry7ME/KT66jGsz/yZFGWd7//hGKQL48W9d+8jQ37ttmFBLBo+PkcdyWDKoCC0Cd16TgceUyVdk2NxeNGkRW4aHLxe/WpAlg1KMJ2VQtvHXypDNqNUCGX6xmQ3KoOd4Ni3pgAwf3zCNLRnWHdEuOL5L1tnHkGEZiR4HN8rwh2kH+crACqgZ+9dHBmV5skGGpMnuw14ZyFAyWzlBx5D/BiQ4O/ZmlfkxGXrljvGIvyADNUCn4uEwOWqvZT4UDpXjda8DYZpj5dhb9jhm6VfyvksZNWcaZWC6/9cM5Z3zXzkWjkmw/DpfDiYKv3shw/3Db/po3ZJhdUrp99UVMqSluHhP4pG1dXtCR54MkohNwb0zZKgxGHb6IuELU6QaFMoQGLI1acBNGUJOrTxqeqmLP9fHfKg0+i3DzY2ZB9m95JhCsmu7fzL0/HMhqHID+d2o6gmH1sk7+zKErhxm8C8Hg3YJiZBDNXVRinS/HMx0bvEZOXYpC2E59m0rO5R1nrwvfCff67gclj+L/KRr5ZhZeezzBF85nFwHrOpN9vVhYu+svqZyzKkpjwqbJsfVGMHMTMKP9KiBzz+py0GCRbO5iRwWuirPjL3lWGPVM2KEtRyDRxqzhL9k2ONtZPF2lxzy28tdK7/JUbN6jX72Gzm8leKW41HTKmJJcpztuaSu6rkc0yZnmGn/Ivy/yzRG5OBGhkfZSeS48IlpxMsRwaQRZLW/FqpruZHsl2mzbpFDd45Gsn68HBOb6zdFy+WdfRc5vLanSAbFyDFhqF7dIKkcX9OdtiaT5+3cryUlEro3eVoOOttTDlG+q9XuRXIEOcxfUkT4YSYdwHSMoDlPj7IeooBDbqzdjnEKGCkdkBzfeP0bPd7KQWz2oml/BYx9F5JSQoF7dPRKh/ty+NT/3h1KPj+ROzNuQDcFcle9VeSpKfD54KGLW57IoWPNTOblUEwZ8nSniQKtpYt8XpDr8rvMnxzHrZ+WcsRyMFHoS74cL9L9nTcQue7cHlZsfbSLfxbpK4+UvJIjzaZ/RU6yAu9r5L89/RVoCXsW9stPgfi9srSF0xUwUzXSWWCkQC+WyG9mXwUSbu+Yw1FRgL1QS7qO3BetZzrICvwi2f93ss/bIQUc7SkKzNK/6GRG7jPTuIPk2n76px83Zimwn0G3TFPAtyWlyKGnAtFMe/+LHCmqSak2zfLO/qQcG340+PCqiB3dnb++/Y8cUTzWplVjFbiyn2mYKjC5CWa65H3F6x5d/D5PAYYbJSsV4D/ytq6dqoDw9b9osZMCpLj5N3cPoZ9RkzkKJK1TOxLtqsCCKwtPqRD5REyPs/EZQeh7fq/g6xgFJj7sYB1pl6N/KKOpctBeS8yff5TD9v7k4PGqCoiL+106oK/ANmUCLMfLgEVq1Y/l2L3hyCvPYjmer2W+IUfAEke314RP4345jBkfosDpNXvG3w5SILPVwmK2iwLaWg0mRUMViBzO9Z9O3h8S8DSqkujN14WiweZkvwy6a3erHIUrzLcaErri2B/Gl5opMPPAw5M9lis6+20KbNrHdIzk8F3g40Q9IHZpoRiqelmO6jYud6iC0Dfc+HFPogck+bG8clGOhqdOU++9lEP5mnI5rDzuiXKJfhOiQt8RPvgHnr7v90/+P736/CS1aU6LHNf3Br6W6SqgLDv6KDCsg5c0gejj9fhVaZfIe95r7D0bTNZzdQM3r6iTw0gJoJLjjNGpVe7EThlUxV5Cz6UFny+FEPsaccj2w0NC91TrZWvuk/dcdoxWtSZ2q3b01yS/NDmUY4LiLvtMueljepDY17HBf3o4RRH+iI6tXXlVjqen573tTuTiPZmRALHrFp/vmZ/lMD5k2L13thyE+f7biTyGJtQPO8GWg6kqLoTIoT/p2oDSE3JIJ3qv918u78RBEH1LayYZphyeDey0Jrcuf3GfYyGtPCxH777OBVxCR0XznxlTlpFrgxmn5NO7/MDyhChffeI3E6Jn3q9OIHbswCACyH4YdST6NOLboqb0k3LcnPz2XThF+HbiQIIL+Z5jL7vbsiCiR5MWB8e7yzG/yHTt7ZVydIshj3nK4VyTTmVOJPvbzyTQcsw9nL5cTtb/jz8Ll4f8XuAlx3aTvzkT7OXYSLz40O5yFP2ReorbSZyQOHh41svwrsh+ypYfMijHLhpyPHgniMrtJkdYzO+Pw4bLoVfS7aSBE3leCVQhelXpQFIdObRuZZVdmkfswKDuif0QQveWSd8TnsuQ1cgUsDIw1ZddgwzljDk/k3XOd2RgUGZ3BDIM/w/YA9t7ReyQnzLofHxtoX1dBs0JBU+dSbzPnjVzYSCJY0wWEEnJYKdsSJA4e3xBku05GSqnMJWLDBdP/a24S64/7giOa0qTIS7PT2dcjQz3mPbGSxkCXB64/Zktw7HJIX/kZjLE1NneGb5IBqPo7hfiZ3fF+5LS/GhLPxInmbAdLMO3q+F1uVGEvrXy7Wt3krzi4rWsuftkWLXbOGeRjQwOCy4lTLOV4Wfx/YPq3jK08KwXj3KUIXz2CNt9JJ948nzO47EzuvKKPUZ17HeOXb+v3jwzXWesDGd8P2oVTZVhKQMnWSxD68zdV7yTpdiWUbsxLkkKeyWgQwrFiIUzH6RJocbAa+5Jwc6x7VFfR/JCq7jkuRVSGO7pd9nlvhS+CeIX2tXkfnJmpTrJp45sZzrlUtRGbppNNUlBe4ScOEg+Z6rRmGdSGJtE31n6SAqlOn0i+dx9n4J8kqeZiy0sB5P8TXdXsOdpcn8cyaYqh8g6cZQyvPHdffisqgyl/tMOXSL57n9zcCnKPeu+uplL0aP0dy+DGSSvOzxqS62pFJUCCfsupBikTISkmNUjuof2Nin6rX/1cSvJb9+kMgFECn93JjOWYrzS8KSYMXLS1PsOUjBTbQeSD7tJuPzGVVLs3/Lt8UqSP4cpC2eSj07zfRAcQvYbdaifXSzJUwWrup8P78qrF5fZX6VJvqx3onWHaqUEXo7BXj8LJdhy/MP+gWRNDBhy9PodCYxGH5E+kEngHumoYkrqif/m2V31xn9tLAle3w7Y0Ebu/zeHJ/XFvN1HOp5IEGmZ6icrI/XLbmYCS743NopTelWCHI3xY8+Q7z3IbBrdn9yvNWOQaRIcypWtOkOuL7dHtNWS5w20Zvbf/1SCyusxW6qbJeirBH5IgIbJq2BBntsmvzFnkgRCWfDu1IESnK64/+jjcAnCGqqEtaTe+g83IEGC7uvROW1iDL0XMPncKzGSKtdPzfglxtMzjbOvTZSgZCbTCZWAQavutZRgwDvtDZvmkP0OcH/eOFOCqftrQp6Sz8/OefLjFan7/sO9SGAz6YdqlhWpA1/sGH15ugR11VnvzMh6e6Vx2HI3CWwT+Z7a18S4syWP/T6va93z+WF48UMx2kf0UfV7L4bHuCOBOz6IMUkJnBKDO2OYxJTUyVnMGLdQDAZdYJguxtixd0Zkx5L6OI81ZNA5MZhp5zkBqfuZKofUwY1W8r99isVo075i/Y3U3+uU4ywxdsld9lEJ4k5clBizMr+SCo7Ut875d55SYix4FNrNJUWMY1dPjp2ZRH7vozYDOcY0DYYTYnwwzupT4ipGSmyVZrCVGB2/ctZKTMQQDbo1PnqOGNuVhiXGdEbtzMQwiiwyOTVKDP7BI5HDposxUCvGpa+jGLGD3vRfbS/G/IJj/dSmiFH0VHP2q/HiTvyMGH1Wbvk+f5IYBi7J5fWm4k68mRgrlIWQGBUpp1ZoeojRnUmHVpB6nhlXhYrxPa73B8OdYrCKmcaGGAwaee9cMbQZWPUIMWz1phGXS/+vH1xZcPnavmc0vA+FBjfeoVEvzWw+VUejKnjug12vaJy23tRj5BMa+24azjpbRqM10F+s+Y5G4g9LksnT6Cuacoz1g3yf1jlX0kHjpsYCVoSGuBOPJsb+333aX5Hvj+2+N+RXFQ09CzfLRa00mGqkVUuMpZs7Jqv8pNFsaWO38xeNAd3jPUteE/pMmYBPY9Gh5NU55LkT1Wtf6ZfTOKTW+qZndVcf3mm7bfmq2zTeRV4dsSabxnhmHBhNQz3sdbffoWR/R4+4ZO+kcYUZG+3umoOk5Tcc/EquE0/qCQM20lhaJSaVEw0NUi3vPE7jurdPYcchGqyldt1mRNJ4tOZCeh3RFzNLB+9UXzHOzt6mZ074GZf08LeHqhjDa4X8jO9d9P5/f50jU1SvCenqP3pkd/OXudOwVDawaNjPKOLrLaMRv/+wO8++az7U8u2iyXQrGp5yceG0ATTWKRlP+My0ySZ0zTlymbJxNg21xd0h9aGRE+6yf7A/jZ87bgfSwWIIT4+rer1cDPsTX3tO1hfja9MtN/+/NJTtISJnDwYGUkzj8Yf5VctlNBg0yB+ynvhmqzAl/LvDlFXWNAr/fnyWrUV34uJpDPp4erXPbwqBSoWkIDJeSEI19T96/7+fnX2LSfRpmIxMbV1OrpnTDZp6dCcOlAJX093s5lcKl/qt425dI0ZwU8jVaTZiKMeB88QICRw5sG6yGL9zLVZEEb1Z8qKb+ctCGn3eLb9pJCLXSiA1DZ6Jy8T+a7rmKw6fbbJ1l9M4So13tR1HI5xwa7saDbsV4gAT8rsZLzU+rvhFQR7EdEgpPPrCAIQpzNM/0Ly9gkLcwK3EdCkwKLh5dykwWdeAW9T/5nFtL4+SzFqMh84MwFXciXcTg8qVfrqiR/wCk/YOFaOuzeRFTC3hc4I2jyMhepTjM7RHDA2GmidbiJ6lGTi6L6Uxm0T52dNpMF7r0HjCnx3nnNcTeWfFJbQ7/u2aw4aP3fl7XwGh7+LSllwxhdhFTKZE4T8YEgVl+nysa10fKSQehcLit24vVqqLoRe9i3CU+I2coyRDFkNt8Az6rIoYlpu1h5YTe51LspNi8nmm77hBFz526XNF6MwsLx6NoqFvHv4k9pHk12D8aXOX3n3223E+fxYNqf3xjONjiBzW4Eav/sSuGfUifH3Qu6y6opzCy+sNtmcuUnix2qC45QCFucpEnoKr0lAo3FzC9/6ymcKUbeWu3l9pVB95MXJhNzEcRx9GezvR++FtLzSJvf18Hlym1kKjV/7ddGdCH59Js4h/KmOZRJ4kfqJ7r0Uc1wc0HkY+7TC6ToMY9e7LJ2hEZ2h4HyF6UVo0aGbo3K55S+KyjxbiDgqnU7Q3zXvXJX9lu0FIYeDvh7WcSApiOub66DAKx3wZIBuRx9tZp7NXUFjOwHTDaOgM2OX2Kp5Gwpl9jm+IPwrceW2hM5fGMN3bbyAkfqDiwL3naTTu/T7vm5lL5P/BK3/0JRqGysEdjf+OxRD69y8RTkshfsmk9Pos4s+4y2M5pz275sR28hK6G9EP35QV06qIfli95y62bKMwQHVSxPAaCsbMWPQmBTUl8IaCYx/d4L4RZB/E6zptp7Biltu/d6Y0iDE56synMeTYJK6TI43enqvu9tlO/H2Dei/2fhq2ysKc6CvTJiF+c2ZVCcnsaBxIPjci6VDXHNZBCXyg4aLOIF5piDYyBScNG8Oxbiun0Jho3HIo05DuxN+S55jxXzWF+PdMQKXQy9eaX5FJIXv12piT5yl0mGmOG3Kc6P2PN3dDyBr5fJ7sLrn/4IKC8zeLgsaiNrNTbygo3fw/CmvnNnkoNIi8S6g4K6J/JkrBkv08WP3grWXXvMpTmYDSSPaMOryL+KNolZqPz4n8R0UUtg8jnwcNcVjTZ2aXHf4/zuDZkMt1A/52zTtLI5jGPoXCkQ/F128TfVUCnih8th3dqnKYgtRO+1nVcApfCrcmWOhQuHrDjVqjR+x0sMWcqy7E/zBhKobqxNVSuPKoT8eSqxR+r2E6LV24g9UM3KA33XluikbIjvQZU/WJf49iAjPRn7IBI9d3dOEz/n9e+PkwAwigUC9hCKHAnPqiiT6YzbvrnZNKwWTl5sitxP7cTVvsnDdS2Ltq7tpRZiJYGg9sF4eLwE8+Ky9+IMIWJWCGwiTmuE9/CunR9REO4yhsMI8QDneg4GD9c8QC4l8mmL9w3effpWec1aG7VnIJf2IfK9jnKBxi0p9ECouWOBVfSqcQ+h/wA3+/tBJP2qUH/89HfyUhFKrZ7kO4FAXn4QUFVSIK+o93hzkfIXaaZH21rlKI/Fg1dZ92IXSlhrdn6YhwZMUp3dMLRfjRWM9rDhDhTaWvRy+WCMpx0yURTGKmjzv6TAQlzLcPBV3ZefaH8cT/MLA9YwpMV6nBhsK94YNWqxN/lNpW0HKR8GdI7fPuweTax+XAAasQsh+jgGfriB+IOxIwZXMUBcnTAJL5kX14mea+jaZgXrgjzSecyCXd9XNyLJHH5SVLj8wQIukyM+gWdtbzQnRoMBFTiAHpMcu8fgmhHJ9MFOGxZ4DpIx8RWqp+XSoLE+GMfe1PjTgRXjQwB1FESK5ggE8iXMm55HG2O4lHLhlTLxC5/CrIXSGaTGHzjbvzYpyJ3JsbCAcoGN0Y1/I1mNiRdM2HA3sIPzccXWK2k+yTKQPIde2S43v0vYl9kazVksj1ddCE6oOpAijbmzcEKK7a9mb8PwFClQcQhfjxYc/d+euFnedqunCDSwtq3pa2Cf+HO+txe3aE2QoRJq53WTjykAiXS9qfVZwX4UmRcXZQsgj3nJ61GFwTQa597PLzMhH01a2Hb34tgiRf91V2nQiHE7Qs7vzuwoFpVB536xhMgZm21U0g9sSM2ywpDN754t/NvgL4KhvbAqiyXpT8CRTAPGAL9xdLgKXKgx0CtGsvOrKjp7CzTyJEQve5JCQLETxe9TFOCHHi8WgfzXQh7H9nn/pbIezs3wn/hzt8ZBgTcMxGhG6xGgZRG0RwVwY0Ip/9eXm+GSLEDWAO8IjwttdCXVeyloYHfO99RwSb1MsRx5pFqPG482sdWb2VQH4+tvoMfzqznI8qFybCCzr7EQLo6WR9WrRWAEab/iYIwKAsnxYJYH197ApJjQCfTJxc1qoIcfnV7srJs4VQliebhDBjjnGdEiLDZYHN4wtCON3QC9ctFWI7a+jbufeEUJbXjUIcFTrK3quLOs+5iRD/4Na7YY7E/n9NnuW+RdR5/lWEsaNOJtBBIhy83r17n9F8DJni+O6UCx8+f/slTTrKx+qNB9Z4SvmIEBdxXpF93De9KFL7yu88ByNA3EEGiS2AiapvaPdzAjBoz0dJAux0nqx36rYAMxOXHvL5JYByjDtGiN5hK4rDHIWY6PfOf1sIsQdF6sS+J4X4F9+tfblUiMzjY3qPvyvEi9INdtJmIZ4zsIJeIjj9c2+tnyJCsLLBJcK1tTO2eZznYfpDl72zi3hYpGwA8vFkGlNp8Dv7DHxQFXtPe/H5EC19PDfzMh+ffve84lPLh8uhiYlTexI53IjL2m0r6DwfKsBBZgy7RwBdUu3YUV3433D3Te+m9RfC4O/ExrtzhVDCRoidK9sYW4gcXvVxMQzpkk/0h76L53CFaIxnCnIh6g7Fp60dycPjdCYx5WFJR77E/jgPSvirnIcf8q3ZOu95SDN+4L5hMB9/q5adP2bNRyp3qRonmP8/PG5D9b7wHXf5aNztszWHyKG+7uHUd1oClDLHTB0IneemHVyyVQCrCcfU8o4JoGybnhfg4uuR/TgKAU4z8OoGIjcbBihM/JXJjcYYUyH6qSd7/XAV4qeOW3TsYSHOMTC7S1zovRQ9Gl/PxZjsUQVLhvKgHMst5iGIo9PzxBEe8oTMwJEHEmwM/rzjociZAULwMVBZABF6t/itWm3LhxI+eoCPxa42ubfFfIyoOr3brpSPvcpGAR/hxOrDVQSQ3WeAAgKQJOfej+UCZB3wCv8XLMDY/xoAeDdjyTT7QgEm97sycV+dALE17m3LiL3rMGHagouBgfLI2k1cUAZM5ObCSKJRYV3NhdbZcyc9evLwXM+0aoYpDznVn7PuLOFhtVqbU204D2qmrbrtN3gYrByoEzoZuLgeH1wqXvHNho/cmGfJwR7EHv5rXGPdVAZpzMeEonB61R0+ovWYA798KNlC5BGmFTX4pJUAr98bPffaKADX7G9o6XEBbvWem7KSIwAphtU/XOKgh/LAAbezT8BFT8exqxrdudC5WNR2NZyL+j+vXeJyuGjJX7Ht7kcuWK+YwSIPyjaGJQ8xFtFukY486B9KKYkk+iQ7Zz50dz4PNy4wg10eknun37pA7Fp8a+zrtyv4OGBzybuS2HXKrtIfJSI+fnakjJhQQPRoZZVFST0fHuPddO6183FiA9tz+RhCf+xAYeRSQWcdxcYJ5rjdZA4aHOb2t9rL6cSbcXDMaPp+7jAu1i35vd9wDhflc5lCi4tTzHRBxMXTtApSIXAR2neYjvcgou/R2hrrTHhgujfXXXmwURYqPEhzAyN/XeZhr3JAy8Og+AxeSgcPDUPsRp0wJn7IP9JspB+xb0/Z3E/H+cg86uB5M5ePM4cevCl/xe+cL/P/d84zW3Wh66V9bNC9e4o2vWFjgfKgLgdrZT0ii5M4cN927lTpUw6mKw9mcOGnGnZafwEX2xh13sxFwmumYcKF17K+JxblcrFkxskFa99wMZNpZ6jzwHRLtlvxUJNk9W56CA+HlAdTeFhYf3LMvWIevOgz8Xdqedj1vi1/ZH8+zs61Ko816vJTESXirZ9D+ejetPdvtnMq/iVsfaCanYoapr3Wlw1Xu+jgXrZsKNvjAjZGft+/LtWIg6qZzIFcDsZMvPR5/yMObt++oThC6B8sffTpsCsXmvqhq20OclHk7/9qr4SLjQaa96bf5eKWEjHDxZm+P6ef7cHDUGWjiIdoj7v3By7lgQTj8hvBxA6YNDaehx5uDU/UM3idfUoe3r5J/xP9ioeOK/OCqmgWbpceJRGNhR9nSzfprkzFVKa9cDMVSYfWjFs0iA17i1XlQdZsTGy5rPHpGhvdVjGVJwf+rqFpOes4MNKV/wtK5KBjeKrxxRccWCsdIReVv74YL7DlYpDq1/ErdnDBeMVTCi5KpzIc5MJCOZjhIpBkYaUaPDy8eWA+15zEgaGrqzp8eWBQ8u3ErrvdZM9NkPAwi4HJTmHB+JtxnzehLDSttpr3voYFnQnH98aYp0JrxUjWibBUfOOHXOv3JRWVP7SP1JuxMXZ02zbXUDZY7QyBbCjT5w42auDIlKDQcm2xfXuGg8CVNbttvnAQfzcjXzaKCxK8l2hZcnFA2SjiwlfZ4OFi95DBf20quDC+lK095AcX7Tetgvvo8KAcQ1nzMPFysYFZEA+9HveawF+TAkbrH95IgaESINZ1/nWG+e8HO+6wIBvLnNRLRU9hh3q6ayqKU/uPuypOBYNeJRUegli1x/avZ+Nt77SvPYrYeJ3BKXHR52C+/wq6uzsHV7v9ef8ojoNPjkxGyEEhPXPvmb5cLPLNjpYacDv7kVxUzQqc6X2Y29mH5SJkBnNigOwzzOVzZQsXc5YyJ3SSsVdxrOmsZQoYVPa9TV3njFnTBp56q8KCgavtOM4qFpblHJ7tRPRHCf/+wcKHwzGFp5anYsHh3V8/ZKRCmU51pOKAmrHdrflsKNU/mg2HTDW7VR/YIMXzTR9TDgxJNNY/wMFA2Z5xrbc4GHwzL/d0Ly4elg7e2mLI7fx/G1wo/z3DXi4ymHEHc06WZPcBm5JhOIaZqCd34mNS4O7SNO+mXQpwW9fiTFIKFqxjJs0pCFIaEKsT/8BC7l3moDQLaU+YAWsq7tszyPNUTDe44elyMRXX7Dq+9evfdT765pT8sw2X2XgVxiRaHJQxMGc7DrY4TVNfS/QnspABpHJwXZ/5hwPczv4YFw5N6SfvenLxf3yKaLg=AQAAAACAAADARAAA9C0AAA==eJxNXHOgXMnXjG3btp1UbNvOxrZt27Y2tu3kjT23770T206+0z1nf/Pln9n33qCn+6BOVfVuerv7ZoOyD1Cr6Pa2g/o+gL9IKVffHQ/Qc+T+pzu+PkC5+p039qj6EAMPFk3hHfYQF4O/33c+8RBNsqTp1+jjQ1xpHT/N7JKPsLLg+Xu1JjxCjfKWf6vffYS0SWb0jJ4yCpkmdCvRqlgUHB1idsjdNgr5sffL8zFRsJ+6//zomiiUHr8ldbqjUSiXbFnshiIKqaJqut99isL3pM9PHYppQdMW95w/clgQ11ZsQs2GFuRMduhl2lcP4Wz9qui5vI+QKd6dGHmGPMLnDZ8uvj/xCHHq3Nk/PFEUyl5L/O0Xfe7j9QMHNWwShWfFunSeMjEKmw9fj3l3VxTav9t2KNsDel7ZXXkLvY/CtzK/PYtTWTDx2bQfq8pbcDp0ukWFthY4y8fpeWi0BZOav7a9X2NBypqBuNlOWHB1+8KcTsPCn2fF+0/1280qZ8XDq5tGfetvRcWFx1sGF1nR4eX8GSc3PEJzR6xmX6NH4XqX5aVfZI9CkbsDltSrHQV6kfPGwCi0+jmi0j9botDkedffm69Fofek0nHjPYnCwznWoEhoQYKZ8crNKGBBtAr3V6ftakGn66O7O+db8DJTzKOucxb45v3u9TVkQd7Gb0bnS2CF9Wby/u/zW9Ho285JwZZW9Fo4bk7t0VYk3tXt25w1VgxrerWh75IVgWqvGm79aMXHUTNs09LaEP/7lt7HXjzCo38cT/sVjMK8B7dObO0ehflz5X9EocDelHRCUVh/oFlSy7Mo7H5Wt8jf7Bbk67brdZd2FnzujeY1Z1lQVL3AgiN+a7+6fgvm9Ojkrx3Timwn5i7/mdkKLM1bz9XQCrVNQ6w4F9Vx99JVVly5MS9Dw2tWTLuh3z/0xIokF4utLZDOhgOt8/xqDhvsBXulN9raIKPr9EgbtseRgRGFK8aQJ22GR6FBDLv96IkotGxT5d5HiqfMo+vHffk3Cn2ebRbda1kgo/nLOAvq57Lcy7fKghgFZ6fxPLRgbM6Pt7PSOQ45so3ekfZLS33lb2srjuVvM2b1fCtG5P+3wM9/rUihDt6K0p3P1ksUw4Zm3owU4TZ0SpNy/eL+Nmxul2LLrlU2BE7MmBB1zAZRf9SAWIYNbTM9/NUviR3OJadvWWdHYdvqZoVOHY9Cgm1vYi7xRuHJs/fj1/+JwrvrB9JSDuHGsAb7sw+1oG/zBGcv7LBg7/nM+nFhQeGVp3JuSGPF14qpYv+oaYX3jsg3dqQVfXIMGDNupxX9T3Xq86/Nipty+6LZOJ5tKPxo+rljo2wYnGL65btbbYi+o8zQYZds0C0yUGx4qM2oHiuTHQsnbx6qV7UjVM9aevlgO6Im7ZiTaH8Ucj9fd6esj+KATuddcgv61/X3eF7Dgpvf1zedM8UCudtvDlgw5k3ljsP8kXV+oG/1qo4Vmcv1rtl3sBVGlgZZz26hOMif41qBoBWZch96WDybDTL7lnazAZkXp9+zgNY9NvoXy1467xqlzk532xDr6YJ8rxPbkfb8s4J1S9pRi6pE/XZ2iGT77K+m2uGoIl9oh6xeOz9EofW6FdMGFbUgT/R+/TztLWhdMOWkvZstKJFt/IWfpgW/bro2tUthhdy1QjWs6Pog+rTy46zYW+xkshCt7/jjjvP237Xi3tZaJz/+tqqqdb+qDWVu58rZm9Y5p8Giijun23CjlYwUGx7LcvGX1r00atXw/HaMzDrFnqexHa/Svpo1cL4dAynbH16140283bGL/rAj8YCVXYeWc+D4KN/MJxWozpV5nODtMAuy5Uq45vJBC1Q5dFpQp5WsOFY0tizt+IfW+YCqpnsCPWbpE3vWASvXTSv6XZl/cVopGzZcz3Z4WB8bdo+9lb/CMhuqelZQZbYhZtdK02f9saHBi1ilkpex49z63RVC/9ixP74MQDuGjHYOOhdF6yorPl6L58Dd30lqTa3iQAMZviMdmDY/dek1sxw4k37Q5aezLTi+aF+eOWep3myZe1h/bkH2St5y3QtbsaWlLGRWyF2csdaKuZ1rUwmwIletnm1vZIycczj/bEjQoNKWAXcpLlUBtyH2oMCDFpntKPR+ytH8bewYMb5ej+OL7HiWcuyyEQ/sWLmuclSCRA4MyH67WvySDqh2Ud+BXqFCr/rOduDfOvq4VP86kOvMr9mffA6s2X7r7cAfFtTcXnHORqqHse7u6qh3siL1zTTTMq2w4uXwE6l/3rPi4pW0eVrEtsFTeWzbPaVtsDYfW/FqX6ozKf7x/llpw/ApXRdloXyR2X3wsw3V3ve436mBHfNiTMzRZJkd05YU6hrjlB09s3yfPvWpHfa6DR6/pn0UMq2qO/AwvawUDpweWbbJyNv0SNlx/pkDKr2LO9HxyYh2DQc4uZ5ZUXTWsG2dZlrhanjR8+SmFateueNdf2mF+2S+Y9Xy2DBflnvaR3ed3f9OoH18MDJD373nbVhVY/6Apz9tSG3+apSvph0x3p+ddGWQHYHO1nQHt9vRVBU4OyanTJB8CK3v35PdJ3sqOyBP6+RkB56WHjX3xUEHvrb9ERX7swPJVCA7kfb9xjWfuzs5np34/HFXjtQ3negy/p96U9ZZuS9QvayWJ335hDZU7jY37opGNqRMmm/9sJk2GDm705Hb8CdPqhwimf1/+3fm6rmO10fboY55nx3y9OrodtzPt6pD+8QO3JvR5cXTRg4Mml8iY89lDtRem7jEHdq/D2um3v321YG5a1LU+1TCiQJLaxKCcYJ+mPd4lROqHAWcGFbSP+VRUhdcgUqO7GVdSFclx66aKWxI8vFxbHcdG4qrQLWhXInFv65ctuG+xfxa5rcNKkyK2BF/XtYeb9rb0XJErtV/KU9OS9jitmNpt9SDe2ah/et5q3a2zg5ssl75AYq/HTLcjjnwqtnpLDNfOiCzLn4RJ/cTJ0oO/Hu3/nInSuePTUfiRFbXrHlD/zgRswoWJMviwsRVT68E2rmg0mWtC2r7RtuQMFe+SQvO2DCSUEIJyuMw3qD87VA57wWq03kWWirsW2dnXEN1cObD/q9SOEDgZfL5NrTOFIWS9J7kQLTMT+4lPOzAlmsTqMJS/ckqC7ETv/a+tzai81XpvNKJOa7PCUddc3I9dSLegUzte1Z0oVjRy1UqjHShskooFzK9NMpkuOxCvrzeVnW/uzByUXTPywDlc4Hm3QZktyOLShA7NseQBcgOejNCGnZcjyc7jwP3Ex5e3LiTA0e+ny7TcoED88Xkgp4jDnQuYlQsTvvnyCMBjRPfhtwZunuEE9EbzUjc5JATexbIRuXE7y8jxYbkLuymrKxV3YUarU+NazzOBZU+K1ygP+68cMUF2dXqpnGj7d+nhATdkNl9Zb4b0w7KjbGjR/ePQwdS/xj5+FilpG/sWBcv46bO+R1Y8SVOlzUNHUihNsSBWdni5r5/3IFHxWUjcQDm1alLCjmxWn58BycathxMpd2JZBVbPDtP+fGpiUw4FxqP0755S7rQXzUIF2znzVSZ79B+1lms+T65cHDW9cqrqrhx0icBuBvqmBa70XBurnHpb9DvP/62j3nuxlmvBHp2fJI/5nFAtaMmDuSX6TKX6rMsey4HPhcefrYQ5W1xtbFOqGMc5cQ8ebxHnRiR6HbntxR3I28/GBKzigtPo13JVHmSC56HX1uYO12YU2TP4LU2F55gh3YxiRsxV75/W7KIGwT2aMvdOH54d+Y/69zITt1m6Ws3zq9aknRcGQ8KZ8/6aUBrD3akn7/r2HIPGm39mOFcTQdyqINyoIYqMA6odKf15Tvdttn0vpG8KNp3gbOZw4kTTW71iFPAhW0JX3R4MsKFgjt+7fDuduF3vyTJ7lson5tJQE3nW3jJlm/F3chWO97iMovc2BvM4C5wxY28CiC5oWBaQQ9my+0d4ZHgtNX5pR4MLL/a2HfUg/fJi+de9syDpG8eegem9TIeciD3yBgUAk4Ucyf2penlhOzSC487Iavr3vdO7EraqalWwoUmnb4XejTdhcT7xxCCdEFtUyY3/J8kEHaDhqRFLUa4sXiIzEw3PlSTyNqNZ1+W3eyT2YNbDcrOrdbVAwIfv4K7PNwfPJh74luqaKYHFX+Vbrc9ixeVir+80bSxFy+XrNfjTPBi7bsGv8/v9eJ3sepjjg91ouVeT8yDl51I2PlT6h3pXTgp4SfVEdtseZAuDKIpqK3hQocJCaa8T+TGq1Kyw0XiTY0DR92gIY2QqhtXA+3Ova7uwfCNtdsXGOyBnPIurfNAothk9z2Y4LhLldnD/dqLxpO/5KzV0wsbTSvLaV37eslI92La8NqUQj687jlkxfkKPnzplPzX4Nwu7I81/9raLnSOl+UA6UKsWMM/fbvgQkp1cG58jPFqe4s2bqRp1Dvv9O1ubL8fZ23PkBuqbKbzcN/3oPVE1cFQ/eiU+P6zHiiYn9iLuBMmpSNMgtfvXD0XjqP92iQHPy+8+qE7GT57GR/6OH98uL62CyFAH8onHE9P8SF31UaFO7z0YZyEUfdcMLXeHcslc0O1n3ZuvKgSbW+jDW78TtnxwB6KtywKwLlR2+YhRO5Bk0Mres3p4cHGKXmuztrtwZF5ZanDeDjPvXAaLaIt6O3FF6oaD3d60dlVlCLNy/XCBwXnC/nwIW7MRxdm+9DKM7rWu0s+FHnavGOrLz6MeHG399gsfgzpEpeghR/BGLJT+bG1sHyCG81SScTkhif3vlNxTroh0cju2B58bLcp7ujeHsbrHoxO3ZxGWw+8T25+mpHbixQyHXp5MUHC9nlejFPA0IvmagD2ooYKCB/OfZBv5MNQBVh9GJjpSJrNMfzI4t94wlfEjzWlar/c08/Pdd/P/d2Pr/eXRSt9wg/vgR8dB97w/29dzWmaTNLdg6Bs09c8GD+9aMNdCby4V1jumBeXppXqYRnhxcOdp/e9ovVMKCQnGy8ufpFv6IMaW4f7eL7xQcHrjz5EL31iwMGifniqL5me4h8/HPHlpORH8oVvso3a5cfbA4FRW8/4UWrb8bLfrvq5bvihxo+CAeYXArizaGHV8/8G0FwBXg++LTxU+VguL5akkkjAi+7J2pY/fjsS773keFrWBzltXOjn4zjw8et9yCXhX0E/5Lu/HORHa3vXDLMW+xFIJAG4n/uQH2o7SwVQVwGjAGqrRhBAl1xyQgmgdK43Rz5tDeAMTZVF9gQQ5ZDESABHZHk+EOD5yAtZpc4dozryNUuR8m+8UMecygfP2upUkX24U0lGWiSu/luXXqtLtXVH/Fy3/Iw/AzBCk2ZvqxoA/bFPhYoBns8DCMhxv0cA/Qt+WR1YHmC8EUCLf98VSfs+wHgyyHxQEMMu1Wi2pUmQPy+I1XtkAfdh3Vr5z8ev8+Ef1cj8+DS3Ur2zdI6r4l+yP1rvh4L9l/x43G2rs9RbP9L2khNaAL7rd2iCCeBczc/Oy60DeLHyaKKhtB9hHiKIeDKtGgQx+lv/o7UrB9H92xxCkkG8vXOt+sG+QcwdLwMsiFS46T8xI4hyhcdY2iwJMh4PYumknxWGPAxiw6X4M+OV80ONFyP8EsRRKviZV/EjWyK54wGsCSyfPbN9AKkz33mMHQEMUcROgOdGWldySSwEoT5uAq1PEQJBpD+4fV/8bUHGTUHuGxpGVJt4b0MRDf3Xjd6wLafG84YGc45sHBrzZxrvSxCS3aj0NQhqCp/PeOk8c8mBnuK6nduWZHIAcgp6cyeAbZbM1x+mCqL/5kW3ErWkzwtey31rY5DnryDzChrXTw3yVdeqa9g8Sm6khtyEVoY10CBZla8tNKTsds1WsJcGb7blCzbM1HBzd7R0j7ZoaFRiWJovxzVcvTz8rb5Mgxpfe2goKmEHPf/WRgmoNfQZKytKABWqSqQUwPyhcoIIovLpiv1PdQri4RCJnIPYOLMylfogzx8a43wNrwJZ37YqqEGyhrMGahxXGhb0jorCFQ0T8v5zId1dDbSZ8+c+0GCM/D0tcFhjvKGhUMFG9aud0qBov7m0rimvPr9ZrEFWt2l7NLylKhI1VkMMBRg1FF+R8nWBHUGUOdxq2g09iGKbqtX4G0vDtD0/o+0oo6HKMw9VPnrfuiWptWlcjzVMPSqJJg3hdkb7I9teiPY5SeGjG99qkCh/wmv6vMVf962ML7A0QY+E1ZIIyO5TKpHApfcneq+KJXBoghwgNEhW9axDw5wpNfY0P6bxnKMx/6VhbKdLXcsO0FBPFSaN+7uGpAlP7Bp7iz4n5hLv9Tsa9q3LRq1OQB1jeoGPLWf7qUTxOQtM+3uQJiCB7TR1tC0lIHdrNT2G8aDA+sX9a9woJ/D9QiNCCILri4C2Cz+X5hCYsq79SWdageeS/nqlQW27qeHy09mUEfRzyFE+Tk8N7yXcqauhnCr4AjGSbK3/gN7nUJfDGU8WFph9KU9/ew0BOTXcaCoYtwu0l+HdiN6/oNxwgZhqQBCYKstxG4EcGWSmChSuIScZgTibxiddnUlwvxcoufte9+4fNZ5zKN6pa/05quFSkg0lt1H8qmOheCq1cWOiRRTHzVRCRvZX0dDVBW5Rd81C6/oqaaReApUV4BT499zYfTUGCVCQpC3YT4AOtf6avgKKVmxFf08sJ3kB/bigSiyY9xM4+8+HB2XoHML8q+B5SoAOgVYiUEW9UEO7y7EIoWlQY+U5jec2jfsHxVfd7/VONNHQk6bx23E1pP9bhSYawTycQKtGsmILni8EQl8lUS5w57AENAIFBteh0iigxtP+gvNeIPG1OtdX1BVQskER2s+F93NOLiYYHwm0qSGZQAFFi9I+h3lnjfG9xvOghpL66h9jqY6UOGDQO2h42fpRvbcZNeRXia5hcrDljqtuAckq7LML7p8CTZb9u3bCMYG5kj5fTvuUQzI+kXWG81Awny6QXZanygKKFqJ1husMPa/jMH/+zAIJXNuHVE4gEG6PGuQUPvGmhhdPG9UqQOsM4z0NstqWq6UhYaJ2gRe0vnA/0/h9NWx6IQG8jrFqUKZ9Uo2G1he76I8EVtpnSYveFsjp+z6p33mBZWNDSeNsovxrKZGDgAr7PgIbpKzRVuBvB4lMIvs4b1HoQ1arhg5qQPivfkbq7ZrLByniNCgYfVCDZPm/UN3ZJdvLNI1xFP1eyhWUb+H4p3OOdrNkH1rneDXICtAwRR1IcH0UqGafGK35esF8nYAas8ZSXK6ou211MwFV1osLqDE7nUD5WnWGfU8q0KejZDAF6s08MjNbXMrLlZLAon2UyzgRqUtUtL7eGk/97daac6uWaIzzNNadNI5PDYW7xjj15onAqQ0NhrbyCKx72DhOnTsCFSqmz5T7kGCdQfD8KvBJ0kSjIvlXbmuy6LMpT9W4TvVNHUclwXhPMG4SKFVEIsNInrWIvX1ZhegC9GQCUhRX6p/AAkmb6hrzxBrkqmudjMTPBv/bpqloX2v2HfxuJq3zeZLuvRNsFKilhBoBlS60j5sf7HvkaE31fvHVz/kobmn4oFcKjjcBBTPKC9YPBAjUUKZT/VL/BDqV/P7P+owCrxNLQYXyUso31D9UufmpMU+qMV9G35+q0qyMkUcVdnROU05VnWbcEqw7CeZbBf5Iungp5ZFshwsF404BWZ3vDqBzXhVrz16qe2E8Tfsy4ySdUCQfl76egNKdBbKoQkd9pXXX2y/o+954YnqbUtyEeQrapx+vX16m77d3c9nUeylPwzy1YL2PvqfeqYhB3zus9wg8KhS/aQuKU1mFxxwXaGtE79WC1vvOP/506HRk3WGekh4l3btSMK6g9U0uRk+lfPym1R9F3yPM3wicKCELk0DfEXGPlKTXrZMwmvIzrO8InDxTvHI3+vlm08bH9y8RrB8KDFYEMeWxWpCAZFkLD4/U00t1+9w7k0qHc8/sPiPi6lDw742Agj8+wTqfQL56EonSPj2VAI1e/1gSNdRnp0+l31Ad3t3mbonrVG/leEnfc2S7hgOq0Pem5jX+w2E6/0GScBf/q5/hcVlgxiYZaBQ3MlxslJeqQf/XnwWu/sDs7x8E0spyRn+fNNi2+XddHUpmqKWjuwpIWv/BTcuDZXXWb3VEVwOqjjKVLjRflV3HAEIFk1PqkKrjxNg6pHpQhR7DdUzHeDWo68inhB2d8YeOPrIspKb3kXJJch0mdeUO2XRUVwlMv18+mLZeR20F7HSeV3RYRowqUa6+zjysDkU3NddRScL2zjokW1ekmY71Ul5opyOaAog68wg6zwc6rpZKlDV5Cx2KJumng8A0nYiOE78LUiXU8SXhqGsnaR/CvI7O/JaOGxnX1vlDP4f7vo6FnbaN608/j1aEmY42sWQl16Fg5nIdUn1feEjH9L4SyeooL7fnss48D+2ratS0XgnP9ur4Rx2UjssrpVCgo7kCdjrz5TpGKSJUxxMpa13UUSebZBzo+a82VSpk1/GaUO3XfTrWpO2adeNZneunjkRKINVxYLgkDHXWMQ0EZNlKaeBQe9lodKweLgVSHT9zSAbCQEc53mUyULqH3HmDdV8DVjleVDCQyZZy1ZiqBi7uKN6+TisDsjtd62JglqTZWhrwvJTA3WCd0eA52GDd3MCTHBdTHutsMN9o4Ksci+j5YR3PwGAlsBn4drXnvq70fmEe2oCCcR0MuFLIidbgumxgj0yXIwaaKMLNgILduw0k2Ohy595nQKqxi3caUMtcbmB1ean4GlBj+xwDqiwvNpg/NcLy9kV6nRL4DaRQg6TB/KQB9banDHxvfH9c8RUG6ilB2EBrJXwbzEcbUGPMBQPvSsqGQ58v20lOE1X7SabMZH3XhGqfuU32Y5isv5qQbF+GHwb6BYcSNDBYfzSgykFiE/EV8DBZ9zNx6+zphXHeGWizciKFpMF6kgHJToIewzq1ARraQ/WsBjbJY3EZPF8arDuYXI9NbJRhNNqEgtX0GNaZTK7zJusdJi7srUtfwYT6ugtMfJHhuNLEYEUIm0g/XJ6YyTyICSWb5DG53pjMA5ucryYOP5GEtok/Mi3pdZ8l/C5jQrKVw2h/LhWUk4sJBQMHmnifXwIck/kKWodKNNrPTJWpxJlcT2lfZVjcNCHZnlEXTZ6LTcZtJvavlMSEiWIS9t4wIVnb4/tNLI8miSgTys5A38saTRZE+n3zqNe5F5q4PV4SqiaUDDXchFR9zswxkVcBW5NxmoniSogxYZFt46yJoBxvU4ZQUAGPEM/JJvb2kxNnCLsS1M49MkYIXim7pg7hbobPyRa+MSFV19RBk+cCE9Woq6+hx1tFml0oTd//14KEcasfNVkXNllnNtGt7IAOKzy0zy//Znpyz8RShyz0JpRsTa8P4zATL+JLYdfEI5kO603m+0zmGUPMA4WgSTtRiRDOynZJ698wr2W6DvFC7JMJQdk3MoVQWxlrTPRQhEsIalzLEIJU97vkCkG6M+L9MZFcBXAIXRQxFYJbphn9vJm60cUvdF5yGwMm66km0igCg/ZdFSATSj6i/Qv3oxDjghDX+VBY7ukaQozzsSmlQ6g77zZ17hCU/JYthGNr3BM6Zoz8Phy3ITTdN7FClpIh1vtDKPMiO02eIXSWdHjFEPPtIeaHQ6hcyL7uSWY6T0UEhpC1SPk3K5LQPihhIgQly/82WbcIMU4KgUAyBVIIBLKfDqb3uyBtI7VCKCqPtVWI8Syt6+7cUambh5gXCeHSROnQCEHJla1DrM+EIFm9wQVCyChtH/T+G6WcRp8X9jOFmH8Iodr5f2kSD3H9CaHOgRu7o6Wjz1OFwMQiOf69M1GwmHSW0f5nXzRyKD1/pV0SsiFYcsiBJ4Q5tUcnq9gihNOHYj5dkC8EFWYJQ+itCnEIiiZPE0IGaUNIHoKC7cVCaD81+/4OlUMISFhHr1dwphz9XtIrr/+rg1QvLp6P9vOZyX4aE1SUKMJM/NN49Y3rT0xczi4TP4RCp45nSPHVhIIZFA9hnTQE62BJuEfiKjzHhKDkviIhDFMDWAhP0y25EKTzCetUJpKpgm2iMU2LhWOF2Edgwmib9pSF8lSVX93kvmsiVnnpqKI8VcYPyjNpL6C8HawGSBNDlSBgoqUCKiZSKqLFZB6P+gOhtBivTMbvIdZVQlheQSqoFA9Sxn1sMq9L3/9rqNtWJ/WD6y9/xKY8/ri83+ZFt0wMVESvid6EBlOuMqHKBD0WUQs0IdWF+lQvpNp/5irV7ZxSuTbRpsORS682mVA2woWROqBsPFQ3w/OuidilkhMkpPpO0Zqd6lQSX5peZaiOhudsE2Xabc+yzWIyXjfZv2cyz0b1qESrYgX2Ul31yMJiYry0D4yj71FuRoHS4yP9J5EySJg8T5qorgxu9L3VP6rXUzuM/tjSRFOtBE28JqZLuWGUiUnKuGSip6SNx1AcP5eFzURNFSgmJHuQdaPJfdxkP5bJ8xn9TF2gVS8TfZTySOe2eGfSTvT7MG9D8aiMMCbjRhMD8mgDhvcwIdWUrtTHwvyuiT03JaCkur9KAi0Tcgq9V9hkPtjEYmnHSUq/X3qMJluT+Rba759S2Kd6LtO4ucm8s4EaUg7xGkioDJkG5HS/WUT6/Rj61DO/DEyV9GFck3W3/+qriaPJpSBOfT3RomVtnhpQciA9FpB2uW+ELwb1LZ3rjYHM2eRkaSCWIlYN1p0NnmsM9g8ZULDuocFzjcH6m4GMEi0NMWCmL/WpCT1KtupWDwOPo2TBMLifGuxPNNhXZPAcZ3DcGfgg6VHCU4ruo+etlvTkfoN1BFrP5SXUyQye0wzIrjppr4Gez2uktRMuk+6GeoTfwrqrgcbKuEK471ailjcvGTj15sneJGcM7meE5xRBZ7CPgHDnwakHUxSidTwoU3ZXXgN02ITMaX0XZjdYVNHAXzmWNTVATWD4RsK34XnFYL+CwbjFQLeh5T7uL0+4WAEWg/l32o8PWak0GZDqeaxmBgoqQ6TBPiaD9UEDX7pLp0YEd2+uJBuNjuOVZCfRsfazfILO/kmdeR4d86V8eUVnPBuZN8I+Bp39QDQfSRnZqkOqUglf6Mx/6EipjDk6+xNo/lKBqWOmhGX0+z9y2+h5UnXb/Djy+jBPRvOdIux01FWNSuf5W0fpt+WoAuvIpgxFOuvQOvv0dMZVOvPBOutUNN+pgNIxtLJk9nT2w9H3lfBlvM5+CJ31GB2bckkGRUfUh0qnK/bXmbegeaeNVEJ05rt0rHsphXXaL2lXWkrrlTR/Xh3KBpAr8hjWLXX29ensk9AZ19K8uLg4jYa0v18OHSiVX2ccpEO6eErH1fHukhz06PWKQNKhYBnNwWsl/CgQmb9TNJaOAJ19czrrpgLFleFTR3014OmML3TElu00sQ4lE3wV6LYoy6VTzwViKIOCQMYU0hkmWKcVUDLHfcF4UEDZdm4IKPv3aYEzOx1LTt+K8BVhW5JA/67SASCQQxmY6HNUA6H3V4KdgLLFXhdYIGUhi8Cd5Tv659EEFA1gCCh7ZEBwXxf4lU4CLcG6iWBcLlBSHsMx+r20Da0QUNu0XLC+LZBNJTp9jzsSGAvcSyYLnGDdWkDZvujv4fMU3AcF132BP9KGt1VgqLQnHRaQVSfPTlrnO2ksETgv6X16HwXT1gn0DQMPyOzuTK+PKWXPTQJLP8iGKyBdSsWmCvZRC0RP92jL1smC/WURHn60Ik4E2iohTiB1hUNHGrQUkO7ni3UFhsRr1e9LVcHxJdiPJ9BPCWMRvjDsT4zoDK/P5fim1RdoLu1rzQTiKwJHcH0XrH8IbK+6+fbyHQIPpT18Q2S9kg172F8gkCvO1JU1Ivxj5gN/h68pKnBxc4aigVyC66BgXj+iDyk6PqvAFUmTftTYVyBQJfblMXESR3SOsD+H4kna4ksLnvcEdrRQhQtyeshA8XG0yKDt0c/T91lf7oxG59S+Z0WtCZ2vakNjBM99ArXVwCCgZHnaPwWfswvWiwUkKxR4oaF6V9l5NNyWX/uSxj5YDUoVo/X+x2fvkO2NXhfGXQLrpcwVXzDO08JlJUqDZDESPRZcD+kcpI3soWA8JbCmr6wwgnGMYD1MMH8i8KOmrEwR3SLMgwlMPPZg4XP6vHrKsKUhk6SfhMa4ReN81djfooGKWfzvWzQ8k7LbQg2dG9yOW3k9fZ97Z1K1WalBwcnt2v/4yHA9p/juKC8i0HlULBPj/VmBMvurEPQTrJcKrpuUz51mrthM8Rn2HQmcSyoBsWBfnoCCVwkFFO1O523uO/p2nojosFMKeo4kn6NhbU+p+GvMg2vsJ9ZYz9ZwpkzLBR/pcc2PsS2WJtDQXgFtgbHP89DoLBi3Uv1RgqxgXkewP0AgFe2qZ0UknlsoJ6Ng/5Xg+S0Sd11VoAmev/+rQ7Q+1ZA0zvOIflHlWC5CNhryKMOQBmV3i6Uxb6Kxb1pg5xZfgwzbBevlAuoaB633fRHpxKU6pAQDwb5OAelG/0x1QpWLaYL9/gJq7GwqWAenfOgjlZCI3hJNJYbGPp7I+ae58rf10R4a5jeJXmxTNQ0xekknhsb8Kz3GnnVg0Of/fBN03hImthd4MlYyBgLKBtmVvkcqqQgJ9gNRfCjDK32vbc9f9Rwi0EGmxUCqjxL2tI/ocmH/gWB/tEBPdfFH8JwgcCOmdOhq0KQ9waqxn0mDVF07rNCQXwFjDePVQKkhr9pQDTsl7EkpeL4W7C+ldUv7dRUBAldVi9Wh/FE3PKiOSFqR6mKY3xUgEJF6Qf2IDvvcvvLRh0oC6voUxYOCnXkE+w8ERi5PF6t1EsG4RkPOGXUy1qF1llWBq/FcobHPWeN7ARF9s+2e0g8qNtbQ7ffmaxPGaribOvg4x0UNu6U92dDYD/yffkt5Jek7yqcwXo/oVeE5mtYt4QTVozDfIjBbwg36+7s0dZv+ouePayGdBeJ/PoNWqrBF9KqZa09O7rVTQ1Ln3/L3V2t8P0pjP6QGRYttDkJt7+4g+x6D+PlMbhT9XglyGiQLXXCaxvcKNKhxbUvEd/CfHyDMM1DeDb3efkICwfOzwHA5VmkRf8Z/eqFkOabdoDqnjJoa57PG/hvKSwnvCmloI6+PJaX+ogyEAcalAYRSSYNOkPnIIPuygqybBPleUpD3R2P/gsY+KDoPlfAaOsSTN6w0BPdLwEl5nlkq6RrP1xq6SDv+Po31p8g+5qUprmo/jeumxryThuIKCGrY/0o2aD/zKwEo+1LNACxjpaIQgFvatk8GMFPaPz8H+F5PEEv+kTsfxMppg4r2XRBkP2uQ5+8gFtaSSmOQ+Y//dEANqRURrHF/1rBkTv6lNYtSvTo73b22uoYtv+smT99ag7Lr1aZ9LiqZBQ09lCFcY7zqZz+AH3FVAvnZH+1nHSHAfH+A7zsFGFcGcLSHTPwA1NvEC0KNl/Q9fE0lgg0igxwLjwSRJePUMZ0uBfk+XxAHJd34J8hztsb9hvKniayIFL9y2+nnect/Zp4XQ4OCp3Sug6fGIujtw5SJ0qni47nOx/5NH89nfmRSFx/8+HFMEkN+5lUivrOwzzgAJTs/DPA8G2BfYoD92UEklTaSskHWpYKQ0+i8lkG+Jxnxga2/U9bnX0PPPx6jRutTQSh74MMg+qpC6mVftxdqjPjsRcsKcnL0cd3wsQ/eh3RS3vngYz7Bz7y8n3VRP+uMftbpI77D2Hv29uo/MQAq8lOz7w/w3Bjge55B3J8sJ7MgVJuleNs2WWZ2EHYp7/WNPJ5zDLf+vOnheyBevrfhRXu1sV6oa2Z+L/u/fdgq5YJePhAYJUTqYzznQ/gCnp/xqh9WWV7H+nHvoiT2/XhwX/7z870UP2QXTP/Xz3g0gNdrc0fv1y+A49IONy8AZa84HOD7rwHIW2njLwQYj3pYL/KwHuRhfOKBLq8rJPcyzvaCQOWh9mu97BP3sh8x4ufNqhqnD3ulvHvEB7XNT31Ioi7s+Hnep/x+shTp/p9PNeyL96OwAsIBFJa2xzwBnvsDOL0sM2VAACOk/bSLG+q62SY3FFz97kaycRKZedj344E3pmQ8PJCoyvXZg+ITajacm8vLn++FvZc0XHpxW9Ibj7ys+3j5vlDE/xuu1z7mn/yoHb7wiezKIE3n4UtOE2jkfNTy1vjxaYAsvH58lOP0KRd6/fq5IGFcN/Mebvw5Jb+Qm3VmN148khcRPRigBH0P38vy/M+P25qm71BSL4qpA/cy/+fFyMN/HnW76OV7w16u+z4Uk+Uqt499Lj7W9XxoI20Hj3xorwqvD9IldreEn+/p+rFS2lkKufi+tIvxpQvq+H+48Nnnmjq8tpvz1c33rdx430c6M91QsmtiD5Q81MrD+M6Du8p26uF66WU/mpfvOXohb5n9S3HVSRGUXtjkOPjdi9m6vFjlY/+kj+dIHzLI6xeU72H/u5P1YyfnNa33nrxg5cJpaedY40I/ZaBzMf/ngrx10a6hm/lfNy6tixlr+Cc3JOrZlMuDmScVUY20EjYM9zBv5oGyg1k8WCHp40RePk8vVNka5+V53IvzxySQ9kKyY/eS+Vjf9THv6GD+3sn3m5zM1znxVl9mNn7uZH+2C9JNsGiki/1eLkhVIbFwQbq2Dvx1MV5zM2/t5vrmZt+AB11HyZvsHq5rHua/PLwPHixqKxGwl3VtLy5Lu+8ML9/n9CKDuojk4DnYwffcHBilCD4njgxs9s/0hk72wzihrhfccYKKWOwUqVxQ40AHF/OTkfstCh7Ed0NOgec6uvl+jBv1FbB1Y4gauNzMI3qwRNosJ3vYj+PB9pwS0Xj4XqaX+4v3f/c8h6qLYg4c37+EIsbBeMSBpOqCp4N9wE72UzoxWdqd5zhRRl0odLKv2Il2ysDiQhxl3HKhpyKgXexXdTEudnP9d/P9Wjf7E9zsU/YwrvCgnho4PQguksDRw/tuRzJlzLSzbmBHVQWs7FCwt7IDNWJlqr5ynQPDdo+gjHdgn7zOlsyJjAXkDWUn11En81hO1FQXq1xYJ+FsPRffc3UxrnVB0WFOF+TtkIq/XMy/uqHevpsbn8pKo5gbqrycpzqrjE5u5h1smHb329f0ae3s47Tj0qnnVMHs+CTbs9OOqG5SiLKz38yBOsqY6eC8dbAe5YBaTlon6isiwMn3dZ38eU5IFEEzFVa3loZKF/d7F89DLuRXBGrkXlI4Ht3Ma7p5Trfx/RIb1Nf+a8My6j5vKttxXZaloXYsXD0oxfTLdih25Y0dvzJLQ4UDCkbVc+CYdQdNerT/6kAdPJ840CSndCI4oeS0tk6MUUDeCVktptL6wzjWBXVdoomL+7wLDjlWnXZBXRt/58Ifed2tuJvrnpX9OTZ+vg0rCN3bztv43qqN/RB23jc7+6vsUHTmIzvfY3ewLuJg3cDB94gc7LNyoKka6KneqEHMidkDJRPo5PnGyT5vJ5QNKrkLyh5A5yDdn88nuvi+ohUHG8oJ3sr/PwLr/+4Zh+uPjXkIG+Ioo4gNku36ndLOc7Cd9Qw7n7uddRY73wNwsI/BwTqGA5QkC2rZHKynO1mPdjLP5eR7Wk6o43M5cUuOuclcfG/div7q4r0VhrT7X7Eif1TeD7meW5Fe/Y8JbHghr6F3tLG+Z+P7bzb2jdh4rrZz3tvxQdL7lL9BOYbZIvejH4Tk/6DDAU0uZ5qD79k4kF5dxHIgnRKIaf/ldnR08r1oJ/s5nfg/80ZeDQ==AQAAAACAAADkbAAAExUAAA==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AQAAAACAAADARAAAdAsAAA==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CylinderKnMa/Kn0p36/simulation0760_Kn0p36Ma2p9/Lambda/Lambda_2_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="1212" NumberOfCells="1100" >
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+ <PointData>
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+ <DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.2191" RangeMax="0.36257" offset="10668" />
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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="offsets" format="appended" RangeMin="" RangeMax="" offset="30376" />
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+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="32404" />
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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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_AQAAAACAAABgIgAAsgUAAA==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AQAAAACAAABgIgAAmwAAAA==eJzt160KwgAAhdEiWP1BwaKYBatpsGiYZSs2NawsWQwmkzAWNFgEs+AjjIFpXXAmDRYtYhhosYiC1fsIXzrPcKJT8HZbOTNCxD/LXuc5WyCicn591JIUEZXZ3tIqWXlEFE6Oxri7QUTly7msV5kCIgqHOz859xFReWs3P/UtIioH8aHhVoqIKPw1ZISISjusTu97RFR+AbvHGoI=AQAAAACAAABgIgAAihUAAA==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AgAAAACAAACACQAAohUAALUBAAA=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CylinderKnMa/Kn0p36/simulation0760_Kn0p36Ma2p9/grid/Grid_0_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p36/simulation0760_Kn0p36Ma2p9/grid/Grid_1_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p36/simulation0760_Kn0p36Ma2p9/grid/Grid_2_300000.vtu ADDED
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+ <UnstructuredGrid>
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+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="69924" />
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+ </Cells>
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+ </UnstructuredGrid>
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+ <AppendedData encoding="base64">
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_AQAAAACAAABgIgAAsgUAAA==eJwt0nMcGAQChuE3LLuWtmph2VpuLdu27c5oZ2Tbdp1R57tstzxmW3f32/P98/6e/7+qkY/dObz/7/GJHak9wdqTrD3F2tOsPcPaKNaeZe051p5n7QXWXmTtJdZeZm00a2NYG8vaONbGszaBtVdYe5W111h7nbU3WHuTtbdYe5u1d1h7l7X3WHuftQ9Y+5C1j1j7mLVPWPuUtc9Y+5y1L1j7krWvWOuuidYmYW1S1iZjbXLWBrA2Bc/Ms7A2K2uzsTaQtdlZm4O1OVmbi7W5WRvE2mDW5mFtXtbmY20Ia/OztgBrC7K2EGtDWVuYtUVYW5S1xVhbnLUlWFuStaVYW5q1ZVhblrXlWFuetRVYW5G1lVhbmbVhrK3C2qqsrcba6qytwdqarK3F2tqsDWdtHdZGsLYub8FbsrYVa1uztg1r27K2HWvbs7YDazuythNrO7O2C2u7srYba7uztgdre7K2F2t7s7YPa/uyth9r+7N2AGsHsnYQawezdghrh7J2GGuHs3YEa0eydhRrR7N2DGvHsnYca19j7eusfYO1b7L2Lda+zdp3WPsua99j7fusHc/aSD6BT2TtJNZOZu0U1k5l7TTWTmftDNbOZO0s1s5m7RzWzmXtPNbOZ+0C1i5k7SLWLmbtEtYuZe0y1i5n7QrWrmTtKtauZu0a1q5l7TrWrmftBtZuZO0m1m5m7RbWbmXtNtZ+xdqvWfsNa79l7Xes/Z61P7D2R9b+xNqfWbudtTv4Lr6btXtYu5e1+1i7n7UHWHuQtYdYe5i1R1h7lLXHWHuctSdYe5K1p1h7mrVnWBvF2rOsPcfa86y9wNqLrL3E2susjWZtDGtjWRvH2njWJrD2CmuvsvYaa6+z9gZrb7L2Fmtvs/YOa++y9h5r77P2AWsfsvYRax+z9glrn/KAuyd6iokdqU3J2lSsTc3aNKxNy9p0rE3P2gyszcjaTKzNzNosrM3K2mysDWRtdtbmYG1O1uZibW7WBrE2mLV5WJuXtflYG8La/KwtwNqCrC3E2lDWFmZtEdYWZW0x1hZnbQnWlmRtKdaWZm0Z1pZlbTnWlmdtBdZWZG0l1lZmbRiP4HVZW4+19VnbgLUNWduItY1Z24S1TVnbjLXNWduCtS1Z24q1rVnbhrVtWduOte1Z24G1HVnbibWdWduFtV1Z24213Vnbg7U9WduLtb1Z24e1fVnbj7X9WTuAtQNZO4i1g1k7hLVDWTuMtcNZO4K1I1k7irWjWTuGtWNZO46P55Gs/YC1H7L2I9Z+zNpPWPspaz9j7ees/YK1X7J2AmsnsnYSayezdgprp7J2Gmuns3YGa2eydhZrZ7N2DmvnsnYea+ezdgFrF7J2EWsXs3YJa5eydhlrl7N2BWtXsnYVa1ezdg1r17J2HWvXs3YDazeydhNrN7N2C2u3snYb3853sPYX1v7K2t9Y+ztr/2Dtn6z9i7V/s/Yf1u5k7S7W7mbtHtbuZe0+1u5n7QHWHmTtIdYeZu0R1h5l7THWHmftCdaeZO0p1p5m7RnWRrH2LGvPsfY8ay+w9iJrL7H2MmujWRvD2ljWxrE2nrUJrL3C2qusvcba66y9wdqb/Al/ytpnrH3O2hesfcnaV6z/O+xEa5OwNilrk7E2OWsDWJuCtSlZm4q1qVmbhrVpWZuOtelZm4G1GVmbibWZWZuFtVlZm421gazNztocrM3J2lyszc3aINYGszYPa/OyNh9rQ1ibn7UFWFuQtYVYG8rawqwtwtqirC3G2uKsLcEr8zDWVmFtVdZWY2111tZgbU3W1mJtbdaGs7YOayNYW5e19Vhbn7UNWNuQtY1Y25i1TVjblLXNWNuctS1Y25K1rVjbmrVtWNuWte1Y2561HVjbkbWdWNuZtV1Y25W13VjbnbU9WNuTtb1Y25u1fVjbl7X9WNuftQNYO5C1g+4Z/l+VLJVuAQAAAACAAABgIgAAHwMAAA==eJzt0/8v1HEcB3Dujjvu3J3TiqTYMLe+LKlL+vJ+I5qpVmxlkaRmCZOdNrHaKJEKO+IHYkRWK5qE2eX9GpWwstOcmvItEX253BF1Ite7P+P9/vHz/uz9fr1fz9dD8WrnQY3GDp6GFLnknrcD+Teb1s0OdlCYlXnsjVoGjjbDG/OjZJBVc7RrC08Get+emL4aW0jtkPuogm3h08kK7VadFA4t2Cv7VVJ4m64MLFRI4aq39nlCgwSK/K/HTxjFEJ+SWr3BXwz+D2MHk3JsIKR5beYXjej/fSJYcvnz83yUEMQb62/raqz/n2sF6qJ8SarCCrorAhoNFwVg+ur9nA8pQlePSyI+ZK1893ou1BIig1/yd5dYQMKRi7WNozzYa7pWzoPVEO7sm8QFebe0o6WZA2b/Fgf6l48J2GcO46hqqDXXDC5MunsKHiwR91CLOyqfRbI3NvFHZucC0fceiJaGGYl0sqmOO/GL0D7Nk7Pq5AJ73hy51js4LCyYJYpdpp0Z8rG65JnzIz3hqC1kK9A0oXXpSKBf+Ovq5q9k047vhWLtJPGq6Y6ONowTx7LI5dLGCPfWtM5r0wiRWpalSYrfk2FDu2BEoyVTPZeqskUakpwWdKoh9wUJWb9/KE7QSPYkJg+ldZ5DA3G+upsuzcjtuNevmJIO1AZK3YhKg2jd/ejzT9WLM04f0I0rjaXBSSOI9msMla8LFOQpJlCTx2Nfd4cpVN/Sp+w1fkVd7X7LCemQ93zb6ftR08hhNGxVk0aPaH4ziIhLvSobZlHFvOd4rdscMuSGJrsWz6O+FFMDfyMPifDJ3QtGZPp7zZcFFJHXNusRsYjq3MYul71aQuaDHKuccjNM6zPH9P0cTPvNwdsiW4JEGVx8whSYDw9nzwz0pxt4mOZjgSsbti9XZokL7mUcDnLi438xaPmY5ijANFcrTHO2xjR3a0znQIjpXIgwnRMRpvnYYNoXMaZzJcF0ziRYwXwwH8wH88F8MB/MB/PBfDAfzAfzwXwwH8wH88F8MB/MB/PBfDAfzAfzwXwwH8wH88F8MB/MB/4Lus6PVg==AQAAAACAAABgIgAAmwAAAA==eJzt160KwgAAhdEiWP1BwaKYBatpsGiYZSs2NawsWQwmkzAWNFgEs+AjjIFpXXAmDRYtYhhosYiC1fsIXzrPcKJT8HZbOTNCxD/LXuc5WyCicn591JIUEZXZ3tIqWXlEFE6Oxri7QUTly7msV5kCIgqHOz859xFReWs3P/UtIioH8aHhVoqIKPw1ZISISjusTu97RFR+AbvHGoI=AQAAAACAAABgIgAAkQ0AAA==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AQAAAACAAABgIgAAYRYAAA==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AQAAAACAAABgIgAAvBQAAA==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AQAAAACAAABgIgAAKAsAAA==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AQAAAACAAABgIgAAcxsAAA==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AQAAAACAAABgIgAAbRIAAA==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AQAAAACAAABgIgAAhQsAAA==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eJztwYEAAAAAw6D5U5/gBlUBAAAAAAAAAMA3ImAAAQ==AQAAAACAAABgIgAAHwAAAA==eJztwYEAAAAAw6D5U5/gBlUBAAAAAAAAAMA3ImAAAQ==AQAAAACAAADQOAAAsg0AAA==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AgAAAACAAACACQAAohUAALUBAAA=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CylinderKnMa/Kn0p36/simulation0760_Kn0p36Ma2p9/grid/Grid_300000.pvtu ADDED
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+ <PDataArray type="Float64" Name="f_1[9]"/>
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+ <PDataArray type="Float64" Name="f_1[10]"/>
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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="Grid_0_300000.vtu"/>
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+ <Piece Source="Grid_1_300000.vtu"/>
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+ <Piece Source="Grid_2_300000.vtu"/>
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+ <Piece Source="Grid_3_300000.vtu"/>
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+ </PUnstructuredGrid>
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CylinderKnMa/Kn0p36/simulation0760_Kn0p36Ma2p9/grid/Grid_3_300000.vtu ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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SyApVvcePCog5nOHYtIb0Z9i1PVPGCxB326zr7eDRn77jaVIGj6zU0FjOj4d3ri7mrYzHfwEJWhFaAQAAAACAAACQBwAANwcAAA==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AQAAAACAAACQBwAAOgMAAA==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AQAAAACAAACQBwAAKwQAAA==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AQAAAACAAACQBwAAFQcAAA==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AQAAAACAAACQBwAAzQYAAA==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AQAAAACAAACQBwAAVgMAAA==eJxFlVtoj3EYxx2jKW0ZJSIiG+a0CyL54QIR/Ykpo5VDjm2k93fAhTI1LpxXW9PIbtbkgmhIy0RyHkqUw1hoSJvsSnjf9/th783T7/A8z/f5Pt/f81ZXxd/QYMq/ZBpHdHjZy97kXljQGrZ78/BB/E1k/cuZ5Y0jyr/cdGZ21otzZadZb3GmR/KNcaY6iddhzcgk0B2reGetOdL8M6+41JpbsTmy3Mp/sDVfM0mASHmeRPK7GOl+bWR2JhdLWBdGij81mMLk++4V76lX/jPe5BfHN/d6xR3nTZJmdid4b4P3mNO9YmdaQ1zZKGxPJ7xXrfAcsKauLPbcZk1yPc9Y4cm2ZmHi8DYSjuuRcPzDfY56lkTCURTMpuSbFBTvrTcJnbnNXvUGeF/J/mjw/wDnXfBXOcUtBmc+5+/A12i1rrGqe5dV3mlWOAdY0xXDbO6IhP9xpPPKyOxJGrwV/o8H8ZHB5gflb/FaV3jVuc0r7nR4/u1MYrKa0MFZbLkzCe2ZEie/CU55s5x4e2TVv5PoYxW6KbDK9w18b9DDeXRQBf9NQXytQRf9gupo9/K7B84T4C5ifwh8v4HPG+hgH3WscIo7i/McR9/R9zV4PYyed6KL+egnm360ReL9Jfg/B9UZ85yerw7ibyDv8IZXP4+i7wi7lHfYnz60OOGoxK5zir8EnReAuy91fADvM95dLTg3gH+RFa8FrHPgvyWIp4Pod3FQv4az/5H+x3pO6zzllX+tF54Z4M1B74/QQw08n3CKu546xjvF7YU+XqHne+g3nicpDw6cmW7cadwHQXXVwecOeDbgHUgdn7z86sG/C12s8+rjZN5lDuevwFkLn6XwvJJ1rOv0Xhc8P0YPl9B1JfsrmIeF7P8O6vdz5sQV1rvBPSWIp95Bfp+Yy3XgOoQ+VoE3nznYH903wXOMO41bwno673OwY77D50veXz18V6CXZeAftEc8tzEXLof/cyPdj3lOeexiLrd55buOXc87nIOec73qbmfOtaLj8/R/q1O8mfA/DL7/gOcD+Bqs+rGfOjZSx+mgPJuxeby/9+C45IV7L/NgXvf/LvVv6dZpmq8InGP57/VhLty38q8Ex1ryz0WvY9BxZ6T918yvhkj3fWT+AnzGbe8=AQAAAACAAACQBwAAFwAAAA==eJxjYBgFo2AUjIJRMApGwUADAAeQAAE=AQAAAACAAACQBwAAFwAAAA==eJxjYBgFo2AUjIJRMApGwUADAAeQAAE=AQAAAACAAADwDAAArgIAAA==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AQAAAACAAABAHgAA1wQAAA==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AQAAAACAAADyAAAADAAAAA==eJzj5BxpAAAK4QiD
34
+ </AppendedData>
35
+ </VTKFile>
CylinderKnMa/Kn0p36/simulation0760_Kn0p36Ma2p9/grid/final-grid.dat ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p36/simulation0760_Kn0p36Ma2p9/output/grid.300000.dat ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p36/simulation0760_Kn0p36Ma2p9/output/lambdakn.300000.dat ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p36/simulation0760_Kn0p36Ma2p9/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 0.00302 0.033693 -0.033689 0.00052923 -8.1786e-06 -0.00052062 -0.00052929 1.3512e-07 2.3364 0 0
11
+ 129 -0.31871 0.38526 -0.30645 0.39508 0.08694 1.0591 0.6622 -0.82656 0.16363 0.13109 0.012972 -0.010924 127.45 0 0
12
+ 2 0.49975 -0.015705 0.49901 -0.031395 0.00327 0.037039 -0.036998 0.0017448 -4.8352e-05 -0.0010253 -0.0005819 1.1301e-05 2.7895 0 0
13
+ 130 -0.30645 0.39508 -0.29389 0.40451 0.08344 1.0134 0.60845 -0.81038 0.16558 0.12432 0.012158 -0.010776 121.54 0 0
14
+ 3 0.49901 -0.031395 0.49778 -0.047054 0.00297 0.034445 -0.034339 0.0027026 8.9894e-06 0.00011422 -0.00053924 4.4244e-05 2.4495 0 0
15
+ 131 -0.29389 0.40451 -0.28104 0.41354 0.07896 0.96668 0.55585 -0.79089 0.17184 0.12077 0.01143 -0.010526 119.95 0 0
16
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AQAAAACAAABABgAA5QUAAA==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AQAAAACAAABABgAALAYAAA==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AQAAAACAAABABgAANwYAAA==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AQAAAACAAABABgAAMwYAAA==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AQAAAACAAABABgAAFQAAAA==eJxjYBgFo2AUjIJRMApIBwAGQAABAQAAAACAAABABgAAFQAAAA==eJxjYBgFo2AUjIJRMApIBwAGQAABAQAAAACAAADAEgAA0gMAAA==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AQAAAACAAABABgAAXwEAAA==eJwtxVFEHAAAANBKkpzkJEmSJMlJkiRJkiRJkiQnSXKSJEmSJEmSJEmSZGYmmUmSJEmSJEkyMzOTzCRJkmT20Xs/LybqXazjHO8EB5zoJAed7BSnOs3pznCms5ztHOc6zyHnu8CFLnKxS1zqMpe7wpWucrVrXOs617vBjW5ys1vc6rDb3O4Od7rLEXe7x73uc78HPOghD3vEox7zuCc86SlPe8aznvO8F7zoJS97xate8wd/9Cd/9ro3/MVfvektb3vHu97zvg986CMf+8SnPvO5L3zpK1/7m7/7h3/6l3/7xrf+47++870f/OgnP/vFr37zP0dFvxfjWMc53gkOONFJDjrZKU51mtOd4UxnOds5znWeQ853gQtd5GKXuNRlLneFK13late41nWud4Mb3eRmt7jVYbe53R3udJcj7naPe93nfg940EMe9ohHPeZxT3jSU572jGc95/9sSVRSAQAAAACAAADIAAAADAAAAA==eJxjZh4eAADsVAJZ
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38
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/jfcPOfNiBA==AQAAAACAAADARAAAhQIAAA==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AQAAAACAAADARAAAHi4AAA==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AQAAAACAAADkbAAAExUAAA==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AQAAAACAAADARAAAdAsAAA==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CylinderKnMa/Kn0p36/simulation0761_Kn0p36Ma3p0/Lambda/Lambda_2_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="1212" NumberOfCells="1100" >
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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="-4.9549" RangeMax="3.9713" offset="1968" />
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+ <DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.21773" RangeMax="0.36341" offset="10368" />
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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="21848" />
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+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="29844" />
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+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="31872" />
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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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_AQAAAACAAABgIgAAsgUAAA==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AQAAAACAAABgIgAAmwAAAA==eJzt160KwgAAhdEiWP1BwaKYBatpsGiYZSs2NawsWQwmkzAWNFgEs+AjjIFpXXAmDRYtYhhosYiC1fsIXzrPcKJT8HZbOTNCxD/LXuc5WyCicn591JIUEZXZ3tIqWXlEFE6Oxri7QUTly7msV5kCIgqHOz859xFReWs3P/UtIioH8aHhVoqIKPw1ZISISjusTu97RFR+AbvHGoI=AQAAAACAAABgIgAApxQAAA==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AQAAAACAAABgIgAAyhMAAA==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AQAAAACAAADQOAAAsg0AAA==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AgAAAACAAACACQAAohUAALUBAAA=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+ _AQAAAACAAACQBwAAawEAAA==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eJx7ekHp9k87AYc47xPstrMFHD5tCMie9V3AoV3s5rnvwYIODBPrflttEHSY8o0tfgaPkINmTP+hrxlCDguvmby3OCrkYGazN2iaorDD6YWu2z7XCjs4y7x+ZHZL2OFGY7HbFDMRh4A/EsXXJ4k4PE0E6RBxqDquaTXJW9Thk+P5tKvLRR3al4efMmIRc5DmfaA7IUHMYUp7a9TlPWIOmm959xlIijuATO8rFXcwO2vtd/GiuMPTUfeOunfUvaPuHXXvqHuHoXsBLeY7ag==AQAAAACAAACQBwAAawAAAA==eJzbdavrb6q5gMOuIUKLZfl+7ps8dOj+J5/kL70fOjR7/AwfUR/BIUPX37StjFgxdOgfwY+XzmYRGjJ0wbmOS/cShg790kPvv+LeoUMnHr6snSopPGRocDIuHTp00A651tcXhw4NAEKAUp4=AQAAAACAAACQBwAAJgcAAA==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AQAAAACAAADwDAAArgIAAA==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AQAAAACAAABAHgAA1wQAAA==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AQAAAACAAADyAAAADAAAAA==eJzj5BxpAAAK4QiD
26
+ </AppendedData>
27
+ </VTKFile>
CylinderKnMa/Kn0p36/simulation0761_Kn0p36Ma3p0/Surf.pvd ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="Collection" version="0.1"
3
+ byte_order="LittleEndian"
4
+ compressor="vtkZLibDataCompressor">
5
+ <Collection>
6
+ <DataSet timestep="300000" group="" part="0"
7
+ file="Surf/Surf_300000.vtu"/>
8
+ </Collection>
9
+ </VTKFile>
CylinderKnMa/Kn0p36/simulation0761_Kn0p36Ma3p0/config.txt ADDED
@@ -0,0 +1,78 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ variable BZ equal 1.380649E-23
2
+ variable PI equal 3.1415926536
3
+ variable molecular_mass equal 6.63E-26
4
+ variable molecular_diameter equal 4.17E-10
5
+ variable gamma equal 1.666666667
6
+ variable R equal ${BZ}/${molecular_mass}
7
+ variable L equal 1.0
8
+ variable xmin equal -5.0
9
+ variable xmax equal 6.0
10
+ variable ymin equal -5.0
11
+ variable ymax equal 5.0
12
+ variable Kn equal 0.36
13
+ variable Ma equal 3.0
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/Kn0p36/simulation0761_Kn0p36Ma3p0/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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CylinderKnMa/Kn0p36/simulation0761_Kn0p36Ma3p0/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)
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+
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+ Ar 39.95 6.63E-26 0 0.0 0 0.0 0.0 1.0 0.0
CylinderKnMa/Kn0p36/simulation0761_Kn0p36Ma3p0/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
CylinderKnMa/Kn0p36/simulation0761_Kn0p36Ma3p0/grid/Grid_0_300000.vtu ADDED
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CylinderKnMa/Kn0p36/simulation0761_Kn0p36Ma3p0/grid/Grid_1_300000.vtu ADDED
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CylinderKnMa/Kn0p36/simulation0761_Kn0p36Ma3p0/grid/Grid_2_300000.vtu ADDED
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AQAAAACAAABgIgAAGhYAAA==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AQAAAACAAABgIgAA/AoAAA==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AQAAAACAAABgIgAAbxoAAA==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AQAAAACAAABgIgAAKRsAAA==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AQAAAACAAABgIgAA7REAAA==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AQAAAACAAABgIgAATwsAAA==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eJztwYEAAAAAw6D5U5/gBlUBAAAAAAAAAMA3ImAAAQ==AQAAAACAAABgIgAAHwAAAA==eJztwYEAAAAAw6D5U5/gBlUBAAAAAAAAAMA3ImAAAQ==AQAAAACAAADQOAAAsg0AAA==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AgAAAACAAACACQAAohUAALUBAAA=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CylinderKnMa/Kn0p36/simulation0761_Kn0p36Ma3p0/grid/Grid_3_300000.vtu ADDED
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snNydmrC2jPs8Zk7dsTLbQfosW+O1bQaP+P2FafdIn4ULr22ZIA6eI+82vyR9Thlc79yqZiEzt9wal8Dif7SnGCs=AQAAAACAAACQBwAALwcAAA==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AQAAAACAAACQBwAAAgQAAA==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AQAAAACAAACQBwAA0wYAAA==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AQAAAACAAACQBwAAXAMAAA==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AQAAAACAAACQBwAAFwAAAA==eJxjYBgFo2AUjIJRMApGwUADAAeQAAE=AQAAAACAAACQBwAAFwAAAA==eJxjYBgFo2AUjIJRMApGwUADAAeQAAE=AQAAAACAAADwDAAArgIAAA==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AQAAAACAAABAHgAA1wQAAA==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AQAAAACAAADyAAAADAAAAA==eJzj5BxpAAAK4QiD
34
+ </AppendedData>
35
+ </VTKFile>
CylinderKnMa/Kn0p36/simulation0761_Kn0p36Ma3p0/grid/final-grid.dat ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p36/simulation0761_Kn0p36Ma3p0/log.sparta ADDED
@@ -0,0 +1,319 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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 0.36
17
+ variable Ma equal 3.0
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 0.36*${L}
23
+ variable mfp equal 0.36*1
24
+ variable cpmfp equal 4
25
+ variable nden equal 1.0/sqrt(2.0)/${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}*${Kn})
29
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.36/${cpmfp}*${Kn})
30
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.36/4*${Kn})
31
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.36/4*0.36)
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 3*${sos}
38
+ variable vo equal 3*307.815564238681
39
+ variable vx equal ${vo}*cos(${theta}*2*PI/360)
40
+ variable vx equal 923.446692716043*cos(${theta}*2*PI/360)
41
+ variable vx equal 923.446692716043*cos(0*2*PI/360)
42
+ variable vy equal ${vo}*sin(${theta}*2*PI/360)
43
+ variable vy equal 923.446692716043*sin(${theta}*2*PI/360)
44
+ variable vy equal 923.446692716043*sin(0*2*PI/360)
45
+ variable ppc equal 30
46
+ variable xncells equal (${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)/0.36*${cpmfp}
50
+ variable xncells equal (6--5)/0.36*4
51
+ variable yncells equal (${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)/0.36*${cpmfp}
55
+ variable yncells equal (5--5)/0.36*4
56
+ variable Fnum equal ${nden}*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
57
+ variable Fnum equal 3.99501127472736e+19*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
58
+ variable Fnum equal 3.99501127472736e+19*(6-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
59
+ variable Fnum equal 3.99501127472736e+19*(6--5)*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
60
+ variable Fnum equal 3.99501127472736e+19*(6--5)*(5-${ymin})/${ppc}/${xncells}/${yncells}
61
+ variable Fnum equal 3.99501127472736e+19*(6--5)*(5--5)/${ppc}/${xncells}/${yncells}
62
+ variable Fnum equal 3.99501127472736e+19*(6--5)*(5--5)/30/${xncells}/${yncells}
63
+ variable Fnum equal 3.99501127472736e+19*(6--5)*(5--5)/30/122.222222222222/${yncells}
64
+ variable Fnum equal 3.99501127472736e+19*(6--5)*(5--5)/30/122.222222222222/111.111111111111
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}/${xncells}/10/4
68
+ variable tstep equal (--5+6)/923.446692716043/${xncells}/10/4
69
+ variable tstep equal (--5+6)/923.446692716043/122.222222222222/10/4
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 3.99501127472736e+19
81
+ global fnum ${Fnum}
82
+ global fnum 1.07865304417639e+16
83
+ timestep ${tstep}
84
+ timestep 2.43652396802928e-06
85
+ global gridcut 1.0 particle/reorder 100 comm/sort yes
86
+ region 1 cylinder z 0.0 0.0 3.50 -0.5 0.5
87
+ region 2 cylinder z 0.0 0.0 2.00 -0.5 0.5
88
+ region 3 cylinder z 0.0 0.0 0.80 -0.5 0.5
89
+ boundary o o p
90
+ create_box ${xmin} ${xmax} ${ymin} ${ymax} -0.5 0.5
91
+ create_box -5 ${xmax} ${ymin} ${ymax} -0.5 0.5
92
+ create_box -5 6 ${ymin} ${ymax} -0.5 0.5
93
+ create_box -5 6 -5 ${ymax} -0.5 0.5
94
+ create_box -5 6 -5 5 -0.5 0.5
95
+ Created orthogonal box = (-5 -5 -0.5) to (6 5 0.5)
96
+ create_grid ${xncells} ${yncells} 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
97
+ create_grid 122.222222222222 ${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 122.222222222222 111.111111111111 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 59673 child grid cells
100
+ CPU time = 0.12731 secs
101
+ create/ghost percent = 0.896026 99.104
102
+ balance_grid rcb cell
103
+ Balance grid migrated 59557 cells
104
+ CPU time = 0.0862383 secs
105
+ reassign/sort/migrate/ghost percent = 60.6895 0.0360397 8.99693 30.2775
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 923.446692716043 ${vy} 0.0 temp ${To}
110
+ mixture air Ar vstream 923.446692716043 0 0.0 temp ${To}
111
+ mixture air Ar vstream 923.446692716043 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
+ 356 0 = cells overlapping surfs, overlap cells with unmarked corner pts
121
+ 53305 6012 356 = cells outside/inside/overlapping surfs
122
+ 356 = surf cells with 1,2,etc splits
123
+ 109.215 109.215 = cell-wise and global flow volume
124
+ CPU time = 0.0956098 secs
125
+ read/check/sort/surf2grid/ghost/inout/particle percent = 20.5198 26.2459 2.79423 23.3 27.14 6.39998 0.288554
126
+ surf2grid time = 0.0222771 secs
127
+ map/comm1/comm2/comm3/comm4/split percent = 13.6972 24.9416 4.58708 1.80713 11.8879 6.91423
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 1317 cells
133
+ CPU time = 0.0374151 secs
134
+ reassign/sort/migrate/ghost percent = 13.1902 0.0887582 22.7492 63.9719
135
+ create_particles air n 0
136
+ WARNING: Created unexpected # of particles: 404497 versus 404499 (../create_particles.cpp:346)
137
+ Created 404497 particles
138
+ CPU time = 0.0127386 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) = 1.59521 0 1.6875
144
+ grid (ave,min,max) = 3.07385 1.51379 5.26379
145
+ surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
146
+ total (ave,min,max) = 4.68967 3.22189 6.97189
147
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
148
+ 0 0 404497 0 0 0 0 0
149
+ 10000 11.979334 444226 9946 8438 5 424541.06 10.5394
150
+ 20000 25.033231 445172 10032 8504 8 435167.77 10.60335
151
+ 30000 38.683037 447645 10122 8556 13 439004.58 10.630767
152
+ 40000 51.997329 446753 10039 8462 17 440979.88 10.6512
153
+ 50000 65.256624 446335 9995 8432 12 442139.6 10.65806
154
+ 60000 78.609534 446448 10050 8489 9 442929.57 10.649383
155
+ 70000 92.730095 446452 10018 8494 8 443467.18 10.674829
156
+ 80000 105.83879 446668 10010 8413 14 443915.51 10.671988
157
+ 90000 118.53905 447039 10064 8447 20 444194.15 10.677067
158
+ 100000 132.41945 447087 10013 8483 12 444447.12 10.67797
159
+ 110000 145.98496 446307 9991 8423 10 444672.67 10.676845
160
+ 120000 159.71 447158 10025 8509 8 444858.39 10.684792
161
+ 130000 172.87147 445855 10061 8520 15 445000.93 10.688662
162
+ 140000 186.22049 447143 10044 8544 8 445099.69 10.690214
163
+ 150000 199.97883 446600 10023 8424 12 445208.26 10.692747
164
+ 160000 214.23987 446972 10148 8601 10 445320.76 10.695094
165
+ 170000 227.31422 446774 10080 8456 8 445399.25 10.691206
166
+ 180000 240.76958 446208 9972 8465 12 445474.06 10.691244
167
+ 190000 253.46212 446436 10025 8492 14 445537.55 10.689868
168
+ 200000 267.00323 446716 9999 8433 13 445592.23 10.6895
169
+ Loop time of 267.004 on 128 procs for 200000 steps with 446716 particles
170
+
171
+ MPI task timing breakdown:
172
+ Section | min time | avg time | max time |%varavg| %total
173
+ ---------------------------------------------------------------
174
+ Move | 0.0225 | 11.076 | 75.817 | 431.1 | 4.15
175
+ Coll | 0.30527 | 11.448 | 84.768 | 448.6 | 4.29
176
+ Sort | 0.10328 | 1.8318 | 10.745 | 175.1 | 0.69
177
+ Comm | 57.248 | 89.5 | 100.27 | 89.8 | 33.52
178
+ Modify | 0.019317 | 0.11776 | 2.2089 | 94.5 | 0.04
179
+ Output | 0.040328 | 0.046795 | 0.048002 | 0.6 | 0.02
180
+ Other | | 153 | | | 57.30
181
+
182
+ Particle moves = 89118446928 (89.1B)
183
+ Cells touched = 93371532891 (93.4B)
184
+ Particle comms = 202589328 (203M)
185
+ Boundary collides = 0 (0K)
186
+ Boundary exits = 20398094 (20.4M)
187
+ SurfColl checks = 99139993 (99.1M)
188
+ SurfColl occurs = 2137900 (2.14M)
189
+ Surf reactions = 0 (0K)
190
+ Collide attempts = 2212213305 (2.21B)
191
+ Collide occurs = 1715520203 (1.72B)
192
+ Reactions = 0 (0K)
193
+ Particles stuck = 0
194
+ Axisymm bad moves = 0
195
+
196
+ Particle-moves/CPUsec/proc: 2.60759e+06
197
+ Particle-moves/step: 445592
198
+ Cell-touches/particle/step: 1.04772
199
+ Particle comm iterations/step: 1
200
+ Particle fraction communicated: 0.00227326
201
+ Particle fraction colliding with boundary: 0
202
+ Particle fraction exiting boundary: 0.000228887
203
+ Surface-checks/particle/step: 0.00111245
204
+ Surface-collisions/particle/step: 2.39894e-05
205
+ Surf-reactions/particle/step: 0
206
+ Collision-attempts/particle/step: 0.0248233
207
+ Collisions/particle/step: 0.0192499
208
+ Reactions/particle/step: 0
209
+
210
+ Particles: 3489.97 ave 21676 max 0 min
211
+ Histogram: 84 13 5 7 7 5 3 0 1 3
212
+ Cells: 466.195 ave 467 max 465 min
213
+ Histogram: 2 0 0 0 0 99 0 0 0 27
214
+ GhostCell: 12074.5 ave 22142 max 674 min
215
+ Histogram: 18 12 12 10 17 3 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) = 1.66113 0 3.375
246
+ grid (ave,min,max) = 3.07385 1.51379 5.26379
247
+ surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
248
+ total (ave,min,max) = 4.91235 3.37849 7.129
249
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
250
+ 200000 0 446716 9999 8433 0 0 0
251
+ 210000 22.615813 446560 9958 8392 5 446747.06 10.6521
252
+ 220000 45.599602 446417 10046 8521 8 446436.62 10.63685
253
+ 230000 69.248896 446304 10094 8488 15 446450.12 10.646967
254
+ 240000 91.119241 446159 9911 8279 21 446524.89 10.662225
255
+ 250000 114.17606 446834 10136 8623 5 446547 10.68508
256
+ 260000 137.276 446997 10047 8439 12 446690.34 10.692133
257
+ 270000 160.14048 446729 9974 8427 15 446712.96 10.687986
258
+ 280000 183.92833 446121 10114 8591 12 446716.76 10.692063
259
+ 290000 205.66948 446907 10127 8585 10 446732.23 10.695033
260
+ 300000 227.81893 447233 10105 8542 14 446765.05 10.69563
261
+ Loop time of 227.819 on 128 procs for 100000 steps with 447233 particles
262
+
263
+ MPI task timing breakdown:
264
+ Section | min time | avg time | max time |%varavg| %total
265
+ ---------------------------------------------------------------
266
+ Move | 0.011324 | 5.5789 | 38.221 | 305.1 | 2.45
267
+ Coll | 0.15286 | 5.7625 | 42.944 | 319.3 | 2.53
268
+ Sort | 0.059232 | 0.93119 | 5.4222 | 124.2 | 0.41
269
+ Comm | 34.06 | 50.94 | 56.55 | 61.3 | 22.36
270
+ Modify | 2.1562 | 15.29 | 83.708 | 459.9 | 6.71
271
+ Output | 0.035549 | 0.037807 | 0.042177 | 0.7 | 0.02
272
+ Other | | 149.3 | | | 65.53
273
+
274
+ Particle moves = 44676504520 (44.7B)
275
+ Cells touched = 46807079421 (46.8B)
276
+ Particle comms = 101475198 (101M)
277
+ Boundary collides = 0 (0K)
278
+ Boundary exits = 10221772 (10.2M)
279
+ SurfColl checks = 49597820 (49.6M)
280
+ SurfColl occurs = 1069563 (1.07M)
281
+ Surf reactions = 0 (0K)
282
+ Collide attempts = 1113042801 (1.11B)
283
+ Collide occurs = 863107070 (863M)
284
+ Reactions = 0 (0K)
285
+ Particles stuck = 0
286
+ Axisymm bad moves = 0
287
+
288
+ Particle-moves/CPUsec/proc: 1.53207e+06
289
+ Particle-moves/step: 446765
290
+ Cell-touches/particle/step: 1.04769
291
+ Particle comm iterations/step: 1
292
+ Particle fraction communicated: 0.00227133
293
+ Particle fraction colliding with boundary: 0
294
+ Particle fraction exiting boundary: 0.000228795
295
+ Surface-checks/particle/step: 0.00111015
296
+ Surface-collisions/particle/step: 2.39402e-05
297
+ Surf-reactions/particle/step: 0
298
+ Collision-attempts/particle/step: 0.0249134
299
+ Collisions/particle/step: 0.019319
300
+ Reactions/particle/step: 0
301
+
302
+ Particles: 3494.01 ave 21800 max 0 min
303
+ Histogram: 84 14 4 7 7 5 3 0 2 2
304
+ Cells: 466.195 ave 467 max 465 min
305
+ Histogram: 2 0 0 0 0 99 0 0 0 27
306
+ GhostCell: 12074.5 ave 22142 max 674 min
307
+ Histogram: 18 12 12 10 17 3 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 = 59673
316
+ CPU time = 0.00842146 secs
317
+ write_surf surf/geom.surf
318
+ surf elements = 200
319
+ CPU time = 0.00163665 secs
CylinderKnMa/Kn0p36/simulation0761_Kn0p36Ma3p0/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/Kn0p36/simulation0761_Kn0p36Ma3p0/output/grid.300000.dat ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p36/simulation0761_Kn0p36Ma3p0/output/lambdakn.300000.dat ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p36/simulation0761_Kn0p36Ma3p0/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 0.00315 0.036628 -0.036623 0.00057532 -2.1963e-05 -0.0013981 -0.0005756 -1.2923e-05 1.975 0 0
11
+ 129 -0.31871 0.38526 -0.30645 0.39508 0.0887 1.1316 0.7075 -0.88311 0.18538 0.14852 0.014025 -0.011538 154.6 0 0
12
+ 2 0.49975 -0.015705 0.49901 -0.031395 0.00309 0.036495 -0.036454 0.0017191 3.6666e-05 0.0007775 -0.00057202 3.9216e-05 2.4727 0 0
13
+ 130 -0.30645 0.39508 -0.29389 0.40451 0.08498 1.0748 0.64534 -0.85951 0.16662 0.1251 0.012754 -0.011536 135.31 0 0
14
+ 3 0.49901 -0.031395 0.49778 -0.047054 0.00272 0.03232 -0.03222 0.0025358 5.2976e-05 0.00067312 -0.00050526 5.0403e-05 2.9445 0 0
15
+ 131 -0.29389 0.40451 -0.28104 0.41354 0.08214 1.0514 0.60457 -0.86021 0.18517 0.13014 0.012405 -0.011467 140.29 0 0
16
+ 4 0.49778 -0.047054 0.49606 -0.062667 0.00302 0.034782 -0.034572 0.0038168 0.00011657 0.0010559 -0.0005412 7.6537e-05 2.9215 0 0
17
+ 132 -0.28104 0.41354 -0.26791 0.42216 0.07782 0.99167 0.54445 -0.82884 0.18503 0.12154 0.011458 -0.01111 129.28 0 0
18
+ 5 0.49606 -0.062667 0.49384 -0.078217 0.00313 0.036332 -0.035969 0.0051192 -8.4975e-05 -0.00059706 -0.00056631 7.103e-05 3.1864 0 0
19
+ 133 -0.26791 0.42216 -0.25452 0.43037 0.07302 0.92633 0.48401 -0.78983 0.18519 0.11349 0.010511 -0.010624 120.27 0 0
20
+ 6 0.49384 -0.078217 0.49114 -0.093691 0.00269 0.03287 -0.032381 0.0056513 -0.00028476 -0.0016316 -0.00051309 6.3139e-05 2.8917 0 0
21
+ 134 -0.25452 0.43037 -0.24088 0.43815 0.06915 0.87888 0.43545 -0.76342 0.18248 0.10408 0.009706 -0.010356 118.55 0 0
22
+ 7 0.49114 -0.093691 0.48796 -0.10907 0.0026 0.030086 -0.029461 0.006101 -3.2254e-05 -0.00015575 -0.00046325 9.3384e-05 1.7559 0 0
23
+ 135 -0.24088 0.43815 -0.227 0.4455 0.06647 0.84686 0.39627 -0.74842 0.18958 0.10038 0.0092022 -0.010179 113.27 0 0
24
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25
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146
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147
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148
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149
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150
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151
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152
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153
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154
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155
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156
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157
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158
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159
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160
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161
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162
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163
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164
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165
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166
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167
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168
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169
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170
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171
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172
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173
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174
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175
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176
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177
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178
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179
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180
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181
+ 100 -0.49975 -0.015705 -0.5 0 0.16419 2.1194 2.1192 0.033291 7.715e-05 -0.0049111 0.033288 0.00044577 253.44 0 0
182
+ 101 -0.5 0 -0.49975 0.015705 0.16406 2.1278 2.1275 -0.033422 9.1573e-05 0.0058292 0.033419 -0.00043341 254.98 0 0
183
+ 102 -0.49975 0.015705 -0.49901 0.031395 0.16321 2.1015 2.0992 -0.098994 0.0015366 0.032584 0.032996 -0.0010431 260.51 0 0
184
+ 103 -0.49901 0.031395 -0.49778 0.047054 0.16307 2.1119 2.1054 -0.1657 0.0029543 0.037538 0.033117 -0.0020131 258.55 0 0
185
+ 104 -0.49778 0.047054 -0.49606 0.062667 0.16429 2.1141 2.1013 -0.23199 0.0039049 0.03537 0.033068 -0.0030884 255.21 0 0
186
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187
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188
+ 107 -0.49114 0.093691 -0.48796 0.10907 0.15918 2.0557 2.013 -0.41687 0.018053 0.087176 0.031902 -0.0051786 246.78 0 0
189
+ 108 -0.48796 0.10907 -0.48429 0.12434 0.15584 2.0296 1.9736 -0.47381 0.019723 0.08215 0.031309 -0.0061519 250.7 0 0
190
+ 109 -0.48429 0.12434 -0.48015 0.1395 0.15496 1.9953 1.9246 -0.52651 0.03153 0.11525 0.030725 -0.0064597 246.94 0 0
191
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192
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193
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194
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195
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196
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197
+ 116 -0.4455 0.227 -0.43815 0.24088 0.13813 1.7773 1.5707 -0.83164 0.07807 0.14745 0.025898 -0.010747 215.97 0 0
198
+ 117 -0.43815 0.24088 -0.43037 0.25452 0.13191 1.7056 1.4815 -0.84506 0.084642 0.14839 0.024601 -0.010943 213.4 0 0
199
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200
+ 119 -0.42216 0.26791 -0.41354 0.28104 0.12718 1.6321 1.3641 -0.89604 0.10841 0.16504 0.023129 -0.011482 207.28 0 0
201
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202
+ 121 -0.40451 0.29389 -0.39508 0.30645 0.12039 1.5545 1.2431 -0.93336 0.12031 0.16024 0.021416 -0.012144 194.29 0 0
203
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204
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205
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206
+ 125 -0.36448 0.34227 -0.35355 0.35355 0.10352 1.3185 0.94687 -0.91758 0.15795 0.16299 0.017354 -0.011853 171.41 0 0
207
+ 126 -0.35355 0.35355 -0.34227 0.36448 0.09944 1.2784 0.88966 -0.91806 0.15791 0.15303 0.016455 -0.012017 162.96 0 0
208
+ 127 -0.34227 0.36448 -0.33066 0.37506 0.09577 1.2241 0.82385 -0.9054 0.16656 0.15156 0.015557 -0.011841 155.85 0 0
209
+ 128 -0.33066 0.37506 -0.31871 0.38526 0.09232 1.174 0.76242 -0.89268 0.16438 0.14039 0.014558 -0.011816 147.49 0 0
CylinderKnMa/Kn0p36/simulation0761_Kn0p36Ma3p0/runmpirun128.sh ADDED
@@ -0,0 +1,18 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #!/bin/bash
2
+ #SBATCH -J Cylinder——Kn
3
+ #SBATCH -p wzhcnormal
4
+ #SBATCH -N 2
5
+ #SBATCH --ntasks-per-node=64
6
+
7
+
8
+ module purge
9
+ module load compiler/devtoolset/7.3.1
10
+ module load mpi/hpcx/2.11.0/gcc-7.3.1
11
+ export UCX_WARN_UNUSED_ENV_VARS=n
12
+ /public/software/mpi/hpcx/v2.11.0/gcc-7.3.1/bin/mpirun -n 128 ../../../sep2024-sparta/src/spa_mpi <config.txt
13
+
14
+ /work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/grid2paraview.py mir.txt Grid -r ./output/grid.*.dat
15
+
16
+ /work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/grid2paraview.py mir.txt Lambda -r ./output/lambdakn.*.dat
17
+
18
+ /work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/surf2paraview.py ./surf/geom.surf Surf -r ./output/surf.*.dat
CylinderKnMa/Kn0p36/simulation0761_Kn0p36Ma3p0/runmpirun64.sh ADDED
@@ -0,0 +1,18 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #!/bin/bash
2
+ #SBATCH -J Cylinder——Kn
3
+ #SBATCH -p wzhcnormal
4
+ #SBATCH -N 1
5
+ #SBATCH --ntasks-per-node=64
6
+
7
+
8
+ module purge
9
+ module load compiler/devtoolset/7.3.1
10
+ module load mpi/hpcx/2.11.0/gcc-7.3.1
11
+ export UCX_WARN_UNUSED_ENV_VARS=n
12
+ /public/software/mpi/hpcx/v2.11.0/gcc-7.3.1/bin/mpirun -n 64 ../../../sep2024-sparta/src/spa_mpi <config.txt
13
+
14
+ /work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/grid2paraview.py mir.txt Grid -r ./output/grid.*.dat
15
+
16
+ /work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/grid2paraview.py mir.txt Lambda -r ./output/lambdakn.*.dat
17
+
18
+ /work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/surf2paraview.py ./surf/geom.surf Surf -r ./output/surf.*.dat
CylinderKnMa/Kn0p36/simulation0761_Kn0p36Ma3p0/slurm-28429845.out ADDED
@@ -0,0 +1,205 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ SPARTA (4 Sep 2024)
2
+ Running on 128 MPI task(s)
3
+ Running on 128 MPI task(s)
4
+ Created orthogonal box = (-5 -5 -0.5) to (6 5 0.5)
5
+ Created 59673 child grid cells
6
+ CPU time = 0.12731 secs
7
+ create/ghost percent = 0.896026 99.104
8
+ Balance grid migrated 59557 cells
9
+ CPU time = 0.0862383 secs
10
+ reassign/sort/migrate/ghost percent = 60.6895 0.0360397 8.99693 30.2775
11
+ Reading surface file ...
12
+ 200 lines
13
+ -0.5 0.5 xlo xhi
14
+ -0.5 0.5 ylo yhi
15
+ 0 0 zlo zhi
16
+ 0.0157073 min line length
17
+ 356 0 = cells overlapping surfs, overlap cells with unmarked corner pts
18
+ 53305 6012 356 = cells outside/inside/overlapping surfs
19
+ 356 = surf cells with 1,2,etc splits
20
+ 109.214731023047 109.214731023047 = cell-wise and global flow volume
21
+ CPU time = 0.0956098 secs
22
+ read/check/sort/surf2grid/ghost/inout/particle percent = 20.5198 26.2459 2.79423 23.3 27.14 6.39998 0.288554
23
+ surf2grid time = 0.0222771 secs
24
+ map/comm1/comm2/comm3/comm4/split percent = 13.6972 24.9416 4.58708 1.80713 11.8879 6.91423
25
+ Balance grid migrated 1317 cells
26
+ CPU time = 0.0374151 secs
27
+ reassign/sort/migrate/ghost percent = 13.1902 0.0887582 22.7492 63.9719
28
+ Creating particles ...
29
+ WARNING: Created unexpected # of particles: 404497 versus 404499 (../create_particles.cpp:346)
30
+ Created 404497 particles
31
+ CPU time = 0.0127386 secs
32
+ Memory usage per proc in Mbytes:
33
+ particles (ave,min,max) = 1.59521 0 1.6875
34
+ grid (ave,min,max) = 3.07385 1.51379 5.26379
35
+ surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
36
+ total (ave,min,max) = 4.68967 3.22189 6.97189
37
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
38
+ 0 0 404497 0 0 0 0 0
39
+ 10000 11.979334 444226 9946 8438 5 424541.06 10.5394
40
+ 20000 25.033231 445172 10032 8504 8 435167.77 10.60335
41
+ 30000 38.683037 447645 10122 8556 13 439004.58 10.630767
42
+ 40000 51.997329 446753 10039 8462 17 440979.88 10.6512
43
+ 50000 65.256624 446335 9995 8432 12 442139.6 10.65806
44
+ 60000 78.609534 446448 10050 8489 9 442929.57 10.649383
45
+ 70000 92.730095 446452 10018 8494 8 443467.18 10.674829
46
+ 80000 105.83879 446668 10010 8413 14 443915.51 10.671988
47
+ 90000 118.53905 447039 10064 8447 20 444194.15 10.677067
48
+ 100000 132.41945 447087 10013 8483 12 444447.12 10.67797
49
+ 110000 145.98496 446307 9991 8423 10 444672.67 10.676845
50
+ 120000 159.71 447158 10025 8509 8 444858.39 10.684792
51
+ 130000 172.87147 445855 10061 8520 15 445000.93 10.688662
52
+ 140000 186.22049 447143 10044 8544 8 445099.69 10.690214
53
+ 150000 199.97883 446600 10023 8424 12 445208.26 10.692747
54
+ 160000 214.23987 446972 10148 8601 10 445320.76 10.695094
55
+ 170000 227.31422 446774 10080 8456 8 445399.25 10.691206
56
+ 180000 240.76958 446208 9972 8465 12 445474.06 10.691244
57
+ 190000 253.46212 446436 10025 8492 14 445537.55 10.689868
58
+ 200000 267.00323 446716 9999 8433 13 445592.23 10.6895
59
+ Loop time of 267.004 on 128 procs for 200000 steps with 446716 particles
60
+
61
+ MPI task timing breakdown:
62
+ Section | min time | avg time | max time |%varavg| %total
63
+ ---------------------------------------------------------------
64
+ Move | 0.0225 | 11.076 | 75.817 | 431.1 | 4.15
65
+ Coll | 0.30527 | 11.448 | 84.768 | 448.6 | 4.29
66
+ Sort | 0.10328 | 1.8318 | 10.745 | 175.1 | 0.69
67
+ Comm | 57.248 | 89.5 | 100.27 | 89.8 | 33.52
68
+ Modify | 0.019317 | 0.11776 | 2.2089 | 94.5 | 0.04
69
+ Output | 0.040328 | 0.046795 | 0.048002 | 0.6 | 0.02
70
+ Other | | 153 | | | 57.30
71
+
72
+ Particle moves = 89118446928 (89.1B)
73
+ Cells touched = 93371532891 (93.4B)
74
+ Particle comms = 202589328 (203M)
75
+ Boundary collides = 0 (0K)
76
+ Boundary exits = 20398094 (20.4M)
77
+ SurfColl checks = 99139993 (99.1M)
78
+ SurfColl occurs = 2137900 (2.14M)
79
+ Surf reactions = 0 (0K)
80
+ Collide attempts = 2212213305 (2.21B)
81
+ Collide occurs = 1715520203 (1.72B)
82
+ Gas reactions = 0 (0K)
83
+ Particles stuck = 0
84
+ Axisymm bad moves = 0
85
+
86
+ Particle-moves/CPUsec/proc: 2.60759e+06
87
+ Particle-moves/step: 445592
88
+ Cell-touches/particle/step: 1.04772
89
+ Particle comm iterations/step: 1
90
+ Particle fraction communicated: 0.00227326
91
+ Particle fraction colliding with boundary: 0
92
+ Particle fraction exiting boundary: 0.000228887
93
+ Surface-checks/particle/step: 0.00111245
94
+ Surface-collisions/particle/step: 2.39894e-05
95
+ Surface-reactions/particle/step: 0
96
+ Collision-attempts/particle/step: 0.0248233
97
+ Collisions/particle/step: 0.0192499
98
+ Gas-reactions/particle/step: 0
99
+
100
+ Particles: 3489.97 ave 21676 max 0 min
101
+ Histogram: 84 13 5 7 7 5 3 0 1 3
102
+ Cells: 466.195 ave 467 max 465 min
103
+ Histogram: 2 0 0 0 0 99 0 0 0 27
104
+ GhostCell: 12074.5 ave 22142 max 674 min
105
+ Histogram: 18 12 12 10 17 3 6 4 16 30
106
+ EmptyCell: 0 ave 0 max 0 min
107
+ Histogram: 128 0 0 0 0 0 0 0 0 0
108
+ Surfs: 200 ave 200 max 200 min
109
+ Histogram: 128 0 0 0 0 0 0 0 0 0
110
+ GhostSurf: 0 ave 0 max 0 min
111
+ Histogram: 128 0 0 0 0 0 0 0 0 0
112
+ Memory usage per proc in Mbytes:
113
+ particles (ave,min,max) = 1.66113 0 3.375
114
+ grid (ave,min,max) = 3.07385 1.51379 5.26379
115
+ surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
116
+ total (ave,min,max) = 4.91235 3.37849 7.129
117
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
118
+ 200000 0 446716 9999 8433 0 0 0
119
+ 210000 22.615813 446560 9958 8392 5 446747.06 10.6521
120
+ 220000 45.599602 446417 10046 8521 8 446436.62 10.63685
121
+ 230000 69.248896 446304 10094 8488 15 446450.12 10.646967
122
+ 240000 91.119241 446159 9911 8279 21 446524.89 10.662225
123
+ 250000 114.17606 446834 10136 8623 5 446547 10.68508
124
+ 260000 137.276 446997 10047 8439 12 446690.34 10.692133
125
+ 270000 160.14048 446729 9974 8427 15 446712.96 10.687986
126
+ 280000 183.92833 446121 10114 8591 12 446716.76 10.692063
127
+ 290000 205.66948 446907 10127 8585 10 446732.23 10.695033
128
+ 300000 227.81893 447233 10105 8542 14 446765.05 10.69563
129
+ Loop time of 227.819 on 128 procs for 100000 steps with 447233 particles
130
+
131
+ MPI task timing breakdown:
132
+ Section | min time | avg time | max time |%varavg| %total
133
+ ---------------------------------------------------------------
134
+ Move | 0.011324 | 5.5789 | 38.221 | 305.1 | 2.45
135
+ Coll | 0.15286 | 5.7625 | 42.944 | 319.3 | 2.53
136
+ Sort | 0.059232 | 0.93119 | 5.4222 | 124.2 | 0.41
137
+ Comm | 34.06 | 50.94 | 56.55 | 61.3 | 22.36
138
+ Modify | 2.1562 | 15.29 | 83.708 | 459.9 | 6.71
139
+ Output | 0.035549 | 0.037807 | 0.042177 | 0.7 | 0.02
140
+ Other | | 149.3 | | | 65.53
141
+
142
+ Particle moves = 44676504520 (44.7B)
143
+ Cells touched = 46807079421 (46.8B)
144
+ Particle comms = 101475198 (101M)
145
+ Boundary collides = 0 (0K)
146
+ Boundary exits = 10221772 (10.2M)
147
+ SurfColl checks = 49597820 (49.6M)
148
+ SurfColl occurs = 1069563 (1.07M)
149
+ Surf reactions = 0 (0K)
150
+ Collide attempts = 1113042801 (1.11B)
151
+ Collide occurs = 863107070 (863M)
152
+ Gas reactions = 0 (0K)
153
+ Particles stuck = 0
154
+ Axisymm bad moves = 0
155
+
156
+ Particle-moves/CPUsec/proc: 1.53207e+06
157
+ Particle-moves/step: 446765
158
+ Cell-touches/particle/step: 1.04769
159
+ Particle comm iterations/step: 1
160
+ Particle fraction communicated: 0.00227133
161
+ Particle fraction colliding with boundary: 0
162
+ Particle fraction exiting boundary: 0.000228795
163
+ Surface-checks/particle/step: 0.00111015
164
+ Surface-collisions/particle/step: 2.39402e-05
165
+ Surface-reactions/particle/step: 0
166
+ Collision-attempts/particle/step: 0.0249134
167
+ Collisions/particle/step: 0.019319
168
+ Gas-reactions/particle/step: 0
169
+
170
+ Particles: 3494.01 ave 21800 max 0 min
171
+ Histogram: 84 14 4 7 7 5 3 0 2 2
172
+ Cells: 466.195 ave 467 max 465 min
173
+ Histogram: 2 0 0 0 0 99 0 0 0 27
174
+ GhostCell: 12074.5 ave 22142 max 674 min
175
+ Histogram: 18 12 12 10 17 3 6 4 16 30
176
+ EmptyCell: 0 ave 0 max 0 min
177
+ Histogram: 128 0 0 0 0 0 0 0 0 0
178
+ Surfs: 200 ave 200 max 200 min
179
+ Histogram: 128 0 0 0 0 0 0 0 0 0
180
+ GhostSurf: 0 ave 0 max 0 min
181
+ Histogram: 128 0 0 0 0 0 0 0 0 0
182
+ Writing grid file ...
183
+ grid cells = 59673
184
+ CPU time = 0.00842146 secs
185
+ Writing surface file ...
186
+ surf elements = 200
187
+ CPU time = 0.00163665 secs
188
+ Processing 4 grid chunk(s).
189
+ Completed grid chunk number: 3
190
+ Completed grid chunk number: 2
191
+ Completed grid chunk number: 1
192
+ Completed grid chunk number: 0
193
+
194
+ Done in 0:00:09 (wall clock time)
195
+
196
+ Processing 4 grid chunk(s).
197
+ Completed grid chunk number: 3
198
+ Completed grid chunk number: 2
199
+ Completed grid chunk number: 1
200
+ Completed grid chunk number: 0
201
+
202
+ Done in 0:00:09 (wall clock time)
203
+
204
+ Processing SPARTA surface information.
205
+ Processing dump result file: ['./output/surf.300000.dat']
CylinderKnMa/Kn0p36/simulation0761_Kn0p36Ma3p0/surf/Surf_300000.vtu ADDED
@@ -0,0 +1,38 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ <PointData>
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+ <DataArray type="Float64" Name="v1y" format="appended" RangeMin="-0.5" RangeMax="0.5" offset="1468" />
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+ <DataArray type="Float64" Name="v2x" format="appended" RangeMin="-0.5" RangeMax="0.5" offset="2476" />
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+ <DataArray type="Float64" Name="v2y" format="appended" RangeMin="-0.5" RangeMax="0.5" offset="3508" />
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+ <DataArray type="Float64" Name="f_2[1]" format="appended" RangeMin="0.00191" RangeMax="0.16614" offset="4512" />
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+ <DataArray type="Float64" Name="f_2[11]" format="appended" RangeMin="0" RangeMax="0" offset="22856" />
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+ <Points>
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+ <DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="0.49999998503" RangeMax="0.50000001255" offset="22908" />
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+ <Cells>
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+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="24236" />
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+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="25140" />
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+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="25632" />
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+ </Cells>
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+ </Piece>
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+ </UnstructuredGrid>
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AQAAAACAAABABgAABgYAAA==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AQAAAACAAABABgAAEgYAAA==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AQAAAACAAABABgAALwYAAA==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AQAAAACAAABABgAANgYAAA==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AQAAAACAAABABgAAFQAAAA==eJxjYBgFo2AUjIJRMApIBwAGQAABAQAAAACAAABABgAAFQAAAA==eJxjYBgFo2AUjIJRMApIBwAGQAABAQAAAACAAADAEgAA0gMAAA==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AQAAAACAAABABgAAXwEAAA==eJwtxVFEHAAAANBKkpzkJEmSJMlJkiRJkiRJkiQnSXKSJEmSJEmSJEmSZGYmmUmSJEmSJEkyMzOTzCRJkmT20Xs/LybqXazjHO8EB5zoJAed7BSnOs3pznCms5ztHOc6zyHnu8CFLnKxS1zqMpe7wpWucrVrXOs617vBjW5ys1vc6rDb3O4Od7rLEXe7x73uc78HPOghD3vEox7zuCc86SlPe8aznvO8F7zoJS97xate8wd/9Cd/9ro3/MVfvektb3vHu97zvg986CMf+8SnPvO5L3zpK1/7m7/7h3/6l3/7xrf+47++870f/OgnP/vFr37zP0dFvxfjWMc53gkOONFJDjrZKU51mtOd4UxnOds5znWeQ853gQtd5GKXuNRlLneFK13late41nWud4Mb3eRmt7jVYbe53R3udJcj7naPe93nfg940EMe9ohHPeZxT3jSU572jGc95/9sSVRSAQAAAACAAADIAAAADAAAAA==eJxjZh4eAADsVAJZ
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38
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