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  1. CylinderKnMa/Kn0p18/simulation0332_Kn0p18Ma5p1/Lambda/Lambda_0_300000.vtu +0 -0
  2. CylinderKnMa/Kn0p18/simulation0332_Kn0p18Ma5p1/Lambda/Lambda_1_300000.vtu +0 -0
  3. CylinderKnMa/Kn0p18/simulation0332_Kn0p18Ma5p1/Lambda/Lambda_2_300000.vtu +0 -0
  4. CylinderKnMa/Kn0p18/simulation0332_Kn0p18Ma5p1/Lambda/Lambda_300000.pvtu +26 -0
  5. CylinderKnMa/Kn0p18/simulation0332_Kn0p18Ma5p1/Lambda/Lambda_3_300000.vtu +0 -0
  6. CylinderKnMa/Kn0p18/simulation0332_Kn0p18Ma5p1/Lambda/Lambda_4_300000.vtu +0 -0
  7. CylinderKnMa/Kn0p18/simulation0332_Kn0p18Ma5p1/Lambda/Lambda_5_300000.vtu +0 -0
  8. CylinderKnMa/Kn0p18/simulation0332_Kn0p18Ma5p1/Lambda/Lambda_6_300000.vtu +27 -0
  9. CylinderKnMa/Kn0p18/simulation0332_Kn0p18Ma5p1/Lambda/Lambda_7_300000.vtu +27 -0
  10. CylinderKnMa/Kn0p18/simulation0332_Kn0p18Ma5p1/Lambda/Lambda_8_300000.vtu +27 -0
  11. CylinderKnMa/Kn0p18/simulation0332_Kn0p18Ma5p1/output/surf.300000.dat +209 -0
  12. CylinderKnMa/Kn0p18/simulation0332_Kn0p18Ma5p1/surf/Surf_300000.vtu +38 -0
  13. CylinderKnMa/Kn0p18/simulation0332_Kn0p18Ma5p1/surf/geom.surf +610 -0
  14. CylinderKnMa/Kn0p18/simulation0333_Kn0p18Ma5p2/Grid.pvd +9 -0
  15. CylinderKnMa/Kn0p18/simulation0333_Kn0p18Ma5p2/Lambda.pvd +9 -0
  16. CylinderKnMa/Kn0p18/simulation0333_Kn0p18Ma5p2/Lambda/Lambda_0_300000.vtu +0 -0
  17. CylinderKnMa/Kn0p18/simulation0333_Kn0p18Ma5p2/Lambda/Lambda_1_300000.vtu +0 -0
  18. CylinderKnMa/Kn0p18/simulation0333_Kn0p18Ma5p2/Lambda/Lambda_2_300000.vtu +0 -0
  19. CylinderKnMa/Kn0p18/simulation0333_Kn0p18Ma5p2/Lambda/Lambda_300000.pvtu +26 -0
  20. CylinderKnMa/Kn0p18/simulation0333_Kn0p18Ma5p2/Lambda/Lambda_3_300000.vtu +0 -0
  21. CylinderKnMa/Kn0p18/simulation0333_Kn0p18Ma5p2/Lambda/Lambda_4_300000.vtu +0 -0
  22. CylinderKnMa/Kn0p18/simulation0333_Kn0p18Ma5p2/Lambda/Lambda_5_300000.vtu +0 -0
  23. CylinderKnMa/Kn0p18/simulation0333_Kn0p18Ma5p2/Lambda/Lambda_6_300000.vtu +27 -0
  24. CylinderKnMa/Kn0p18/simulation0333_Kn0p18Ma5p2/Lambda/Lambda_7_300000.vtu +27 -0
  25. CylinderKnMa/Kn0p18/simulation0333_Kn0p18Ma5p2/Lambda/Lambda_8_300000.vtu +27 -0
  26. CylinderKnMa/Kn0p18/simulation0333_Kn0p18Ma5p2/Surf.pvd +9 -0
  27. CylinderKnMa/Kn0p18/simulation0333_Kn0p18Ma5p2/config.txt +78 -0
  28. CylinderKnMa/Kn0p18/simulation0333_Kn0p18Ma5p2/cylinder.surf +410 -0
  29. CylinderKnMa/Kn0p18/simulation0333_Kn0p18Ma5p2/gas.species +14 -0
  30. CylinderKnMa/Kn0p18/simulation0333_Kn0p18Ma5p2/gas.vhs +9 -0
  31. CylinderKnMa/Kn0p18/simulation0333_Kn0p18Ma5p2/grid/Grid_0_300000.vtu +0 -0
  32. CylinderKnMa/Kn0p18/simulation0333_Kn0p18Ma5p2/grid/Grid_1_300000.vtu +0 -0
  33. CylinderKnMa/Kn0p18/simulation0333_Kn0p18Ma5p2/grid/Grid_2_300000.vtu +0 -0
  34. CylinderKnMa/Kn0p18/simulation0333_Kn0p18Ma5p2/grid/Grid_300000.pvtu +34 -0
  35. CylinderKnMa/Kn0p18/simulation0333_Kn0p18Ma5p2/grid/Grid_3_300000.vtu +0 -0
  36. CylinderKnMa/Kn0p18/simulation0333_Kn0p18Ma5p2/grid/Grid_4_300000.vtu +0 -0
  37. CylinderKnMa/Kn0p18/simulation0333_Kn0p18Ma5p2/grid/Grid_5_300000.vtu +0 -0
  38. CylinderKnMa/Kn0p18/simulation0333_Kn0p18Ma5p2/grid/Grid_6_300000.vtu +0 -0
  39. CylinderKnMa/Kn0p18/simulation0333_Kn0p18Ma5p2/grid/Grid_7_300000.vtu +0 -0
  40. CylinderKnMa/Kn0p18/simulation0333_Kn0p18Ma5p2/grid/Grid_8_300000.vtu +35 -0
  41. CylinderKnMa/Kn0p18/simulation0333_Kn0p18Ma5p2/grid/final-grid.dat +0 -0
  42. CylinderKnMa/Kn0p18/simulation0333_Kn0p18Ma5p2/log.sparta +319 -0
  43. CylinderKnMa/Kn0p18/simulation0333_Kn0p18Ma5p2/mir.txt +3 -0
  44. CylinderKnMa/Kn0p18/simulation0333_Kn0p18Ma5p2/output/surf.300000.dat +209 -0
  45. CylinderKnMa/Kn0p18/simulation0333_Kn0p18Ma5p2/runmpirun128.sh +18 -0
  46. CylinderKnMa/Kn0p18/simulation0333_Kn0p18Ma5p2/runmpirun64.sh +18 -0
  47. CylinderKnMa/Kn0p18/simulation0333_Kn0p18Ma5p2/slurm-28428626.out +215 -0
  48. CylinderKnMa/Kn0p18/simulation0333_Kn0p18Ma5p2/surf/Surf_300000.vtu +38 -0
  49. CylinderKnMa/Kn0p18/simulation0333_Kn0p18Ma5p2/surf/geom.surf +610 -0
  50. CylinderKnMa/Kn0p18/simulation0334_Kn0p18Ma5p3/Grid.pvd +9 -0
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CylinderKnMa/Kn0p18/simulation0332_Kn0p18Ma5p1/Lambda/Lambda_1_300000.vtu ADDED
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AQAAAACAAADkbAAAVBgAAA==eJxN1G1o/fdZx/EGDmYJO7BJCg6ppLIpw6BQcBEL8+aAJRg8Iy5wTBo4EhMQHFJRhyOO3ZRu6Vi72R3+Y3VbgkOfnAdF9yDKupMS+qBCFztGwSOOMWUqE+sdVKmKewfe1/UJBF5Pf5/vdd733Xdx/fLOh372vu/9PffUF8q/+sDny2+dP1t+4ac/V37spc+Wf3hyr/z178zKH/mdz5QfGjxT/rs/+HT5mQc/VR4991T5P979yfKXXv5E+b2PPlkefPfj5S//3sfKJ296onz/vcfLL77jo+Xf/fKHyz8y+lB5/ke/Xx6+8IHy+775/vLX3vjt8o+/7bfKT7/rN8uv/fJvlN/z2K/Hzqex7XHsOY0Nj2K3w9hqEvvsxyZ7scM4vn03vnen/Oorv1Defm1Uvvfmnyv/1zvfXZ488nD5z3/tp8pv+8hPlj/wxYfKy6/8RPnh5Vb52dffWf6fjR8tP/rQ28vPjx8sP/C+Hyp/8MkfLH/zT36g/DMv3l/+4re/v3zffW+Jex7GDa/H3a7GrQ7iPlfKT0z/d6Efefb18pte/bfyS2/55/KTv/id8u4T3yoPX1iWv/bGN8pPv+u2/J7HXiq/dX5T/vp3ni8/8+BV+b2P/mn5/nvz8quv/HH53psvy5NHni2/7SOz8vIrT5efff28/OhDj5cfXp6Vnx8/tuj9Txa97UF59NwvlV98xyg23I7dtmKrzdhnIzZZK3/p5Te+2u97cf1Xf/HhO9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbt659PY9jj2nMaGR7HbYWw1iX32Y5O92GEc374b37tTpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWlX3/Mwbng97nY1bnUQ97lSpl2admnapWmXpl2advUtLcu0q2/mtky7+jZuyrSrb+CqTLv6redl2tVvelmmXf12szLt6jc6L9OufsezMu3q/U8Wve1BmXb1724UG27Hblux1WbssxGbrJVpV7/vxfXXf+yjd6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6Zdmnb1zqex7XHsOY0Nj2K3w9hqEvvsxyZ7scM4vn03vnenTLs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9Ouvudh3PB63O1q3Oog7nOlTLs07dK0S9MuTbs07epbWpZpV9/MbZl29W3clGlX38BVmXb1W8/LtKvf9LJMu/rtZmXa1W90XqZd/Y5nZdrV+58setuDMu3q390oNtyO3bZiq83YZyM2WSvTrn7fi+tv/OHjd6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6Zdmnb1zqex7XHsOY0Nj2K3w9hqEvvsxyZ7scM4vn03vnenTLs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9Ouvudh3PB63O1q3Oog7nOlTLs07dK0S9MuTbs07epbWpZpV9/MbZl29W3clGlX38BVmXb1W8/LtKvf9LJMu/rtZmXa1W90XqZd/Y5nZdrV+58setuDMu3q390oNtyO3bZiq83YZyM2WSvTrn7fi+tXh0/cmXZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2tU7n8a2x7HnNDY8it0OY6tJ7LMfm+zFDuP49t343p0y7dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbv6nodxw+txt6txq4O4z5Uy7dK0S9MuTbs07dK0q29pWaZdfTO3ZdrVt3FTpl19A1dl2tVvPS/Trn7TyzLt6reblWlXv9F5mXb1O56VaVfvf7LobQ/KtKt/d6PYcDt224qtNmOfjdhkrUy7+n0vrv/6gx+7M+3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StKt3Po1tj2PPaWx4FLsdxlaT2Gc/NtmLHcbx7bvxvTtl2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6Zdmnb1PQ/jhtfjblfjVgdxnytl2qVpl6ZdmnZp2qVpV9/Ssky7+mZuy7Srb+OmTLv6Bq7KtKvfel6mXf2ml2Xa1W83K9OufqPzMu3qdzwr067e/2TR2x6UaVf/7kax4XbsthVbbcY+G7HJWpl29fteXP/Nax+/M+3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StKt3Po1tj2PPaWx4FLsdxlaT2Gc/NtmLHcbx7bvxvTtl2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6Zdmnb1PQ/jhtfjblfjVgdxnytl2qVpl6ZdmnZp2qVpV9/Ssky7+mZuy7Srb+OmTLv6Bq7KtKvfel6mXf2ml2Xa1W83K9OufqPzMu3qdzwr067e/2TR2x6UaVf/7kax4XbsthVbbcY+G7HJWpl29fteXP/t9Mk70y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5Nu3rn09j2OPacxoZHsdthbDWJffZjk73YYRzfvhvfu1OmXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaVff8zBueD3udjVudRD3uVKmXZp2adqlaZemXZp29S0ty7Srb+a2TLv6Nm7KtKtv4KpMu/qt52Xa1W96WaZd/XazMu3qNzov065+x7My7er9Txa97UGZdvXvbhQbbsduW7HVZuyzEZuslWlXv+/F9bde+cSdaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXb3zaWx7HHtOY8Oj2O0wtprEPvuxyV7sMI5v343v3SnTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StKvveRg3vB53uxq3Ooj7XCnTLk27NO3StEvTLk27+paWZdrVN3Nbpl19Gzdl2tU3cFWmXf3W8zLt6je9LNOufrtZmXb1G52XaVe/41mZdvX+J4ve9qBMu/p3N4oNt2O3rdhqM/bZiE3WyrSr3/fi+ts//8k70y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5Nu3rn09j2OPacxoZHsdthbDWJffZjk73YYRzfvhvfu1OmXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaVff8zBueD3udjVudRD3uVKmXZp2adqlaZemXZp29S0ty7Srb+a2TLv6Nm7KtKtv4KpMu/qt52Xa1W96WaZd/XazMu3qNzov065+x7My7er9Txa97UGZdvXvbhQbbsduW7HVZuyzEZuslWlXv+/F9d//2VN3pl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2advXOp7Htcew5jQ2PYrfD2GoS++zHJnuxwzi+fTe+d6dMuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL066+52Hc8Hrc7Wrc6iDuc6VMuzTt0rRL0y5NuzTt6ltalmlX38xtmXb1bdyUaVffwFWZdvVbz8u0q9/0sky7+u1mZdrVb3Repl39jmdl2tX7nyx624My7erf3Sg23I7dtmKrzdhnIzZZK9Ouft+L6394+6fuTLs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07eqdT2Pb49hzGhsexW6HsdUk9tmPTfZih3F8+258706ZdmnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl19z8O44fW429W41UHc50qZdmnapWmXpl2admna1be0LNOuvpnbMu3q27gp066+gasy7eq3npdpV7/pZZl29dvNyrSr3+i8TLv6Hc/KtKv3P1n0tgdl2tW/u1FsuB27bcVWm7HPRmyyVqZd/b4X1/80+/SdaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXb3zaWx7HHtOY8Oj2O0wtprEPvuxyV7sMI5v343v3SnTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StKvveRg3vB53uxq3Ooj7XCnTLk27NO3StEvTLk27+paWZdrVN3Nbpl19Gzdl2tU3cFWmXf3W8zLt6je9LNOufrtZmXb1G52XaVe/41mZdvX+J4ve9qBMu/p3N4oNt2O3rdhqM/bZiE3WyrSr3/fi+rvf98ydaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXb3zaWx7HHtOY8Oj2O0wtprEPvuxyV7sMI5v343v3SnTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StKvveRg3vB53uxq3Ooj7XCnTLk27NO3StEvTLk27+paWZdrVN3Nbpl19Gzdl2tU3cFWmXf3W8zLt6je9LNOufrtZmXb1G52XaVe/41mZdvX+J4ve9qBMu/p3N4oNt2O3rdhqM/bZiE3WyrSr3/fi+l/e/5k70y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5Nu3rn09j2OPacxoZHsdthbDWJffZjk73YYRzfvhvfu1OmXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaVff8zBueD3udjVudRD3uVKmXZp2adqlaZemXZp29S0ty7Srb+a2TLv6Nm7KtKtv4KpMu/qt52Xa1W96WaZd/XazMu3qNzov065+x7My7er9Txa97UGZdvXvbhQbbsduW7HVZuyzEZuslWlXv+/F9b/+4+zOtEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTrt75NLY9jj2nseFR7HYYW01in/3YZC92GMe378b37pRpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2tX3PIwbXo+7XY1bHcR9rpRpl6ZdmnZp2qVpl6ZdfUvLMu3qm7kt066+jZsy7eobuCrTrn7reZl29ZtelmlXv92sTLv6jc7LtKvf8axMu3r/k0Vve1CmXf27G8WG27HbVmy1GftsxCZrZdrV73tx/e+/cu/OtEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTrt75NLY9jj2nseFR7HYYW01in/3YZC92GMe378b37pRpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2tX3PIwbXo+7XY1bHcR9rpRpl6ZdmnZp2qVpl6ZdfUvLMu3qm7kt066+jZsy7eobuCrTrn7reZl29ZtelmlXv92sTLv6jc7LtKvf8axMu3r/k0Vve1CmXf27G8WG27HbVmy1GftsxCZrZdrV73tx/Z9/+dk70y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5Nu3rn09j2OPacxoZHsdthbDWJffZjk73YYRzfvhvfu1OmXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaVff8zBueD3udjVudRD3uVKmXZp2adqlaZemXZp29S0ty7Srb+a2TLv6Nm7KtKtv4KpMu/qt52Xa1W96WaZd/XazMu3qNzov065+x7My7er9Txa97UGZdvXvbhQbbsduW7HVZuyzEZuslWlXv+/F9esPf+7OtEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTrt75NLY9jj2nseFR7HYYW01in/3YZC92GMe378b37pRpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2tX3PIwbXo+7XY1bHcR9rpRpl6ZdmnZp2qVpl6ZdfUvLMu3qm7kt066+jZsy7eobuCrTrn7reZl29ZtelmlXv92sTLv6jc7LtKvf8axMu3r/k0Vve1CmXf27G8WG27HbVmy1GftsxCZrZdrV73tx/d/zZ+9MuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt6p1PY9vj2HMaGx7Fboex1ST22Y9N9mKHcXz7bnzvTpl2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXX3Pw7jh9bjb1bjVQdznSpl2adqlaZemXZp2adrVt7Qs066+mdsy7erbuCnTrr6BqzLt6reel2lXv+llmXb1283KtKvf6LxMu/odz8q0q/c/WfS2B2Xa1b+7UWy4HbttxVabsc9GbLJWpl39vhfXbzzw+TvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27eufT2PY49pzGhkex22FsNYl99mOTvdhhHN++G9+7U6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpV9/zMG54Pe52NW51EPe5UqZdmnZp2qVpl6Zdmnb1LS3LtKtv5rZMu/o2bsq0q2/gqky7+q3nZdrVb3pZpl39drMy7eo3Oi/Trn7HszLt6v1PFr3tQZl29e9uFBtux25bsdVm7LMRm6yVaVe/78X1/z31hTvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27eufT2PY49pzGhkex22FsNYl99mOTvdhhHN++G9+7U6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpV9/zMG54Pe52NW51EPe5UqZdmnZp2qVpl6Zdmnb1LS3LtKtv5rZMu/o2bsq0q2/gqky7+q3nZdrVb3pZpl39drMy7eo3Oi/Trn7HszLt6v1PFr3tQZl29e9uFBtux25bsdVm7LMRm6yVaVe/78X19/7vTLs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07eqdT2Pb49hzGhsexW6HsdUk9tmPTfZih3F8+258706ZdmnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl19z8My7eq7XS3Trr7PlTLt0rRL0y5NuzTt0rSrb2lZpl19M7dl2tW3cVOmXX0DV2Xa1W89L9OuftPLMu3qt5uVaVe/0XmZdvU7npVpV+9/suhtD8q0q393o9hwO3bbiq02Y5+N2GStTLv0/wNYhLaqAwAAAACAAAAAEwAAohUAAJoVAABvAwAAeJxd3dUTQFXZRnFP0N3d3d3d3d3dqYAgJYLSoXR3l9LdCkooqXQrLSkd38V3fhfvc26emTXrH1h75uz9s5/9/9cMu+OwOwRvh90pPLwbdufw8H7YXcLDRxh21/DwEYfdLTx8pGF3Dw8fedg9wsNHGXbP8PBRh90rPHy0YfcODx992J+Hh48x7C/Cw8ccdp/w8LGG3Tc8fOxh9wsPH2fYX4aHjzvs/uHh4w17QHj4+MP+Kjx8gmEPDA+fcNiDwsMnGvbg8PCJhz0kPHySYQ8ND5902F+Hh0827GHh4ZMP+5vw8CmGPTw8fMphjwgPn2rY34aHTz3s78LDpxn2yPDwaYc9Kjx8umGPDg+ffthjwsNnGPbY8PAZhz0uPHymYY8PD5952BPCw2cZ9sTw8FmHPSk8fLZhfx8ePvuwfwgPn2PYk8PD5xz2lPDwuYY9NTx87mFPCw+fZ9jTw8PnHfaM8PD5hj0zPHz+Yc8KD19g2LPDwxcc9pzw8IWGPTc8fOFhzwsPX2TY88PDFx32gvDwxYa9MDx88WEvCg9fYtiLw8OXHPaS8PClhr00PHzpYS8LD19m2MvDw5cd9orw8OWGvTI8fPlhrwoPX2HYq8PDVxz2mvDwlYa9Njx85WGvCw9fZdjrw8NXHfaP4eGrDfun8PDVh70hPHyNYW8MD19z2JvCw9ca9ubw8LWHvSU8fJ1hbw0PX3fY28LD1xv29vDw9Ye9Izx8g2HvDA/fcNi7wsM3Gvbu8PCNh70nPHyTYe8ND9902PvCwzcb9v7w8M2HfSA8fIthHwwP33LYh8LDtxr2z+HhWw/7l/DwbYZ9ODx822EfCQ/fbti/hodvP+zfwtMZeuKxYR8NriceDw/XE0+Eh+uJv4eH64l/hIfriSfDw/XEU+HheuLp8HA98Ux4uJ54NjxcTzwXHq4n/hkerif+FR6uJ54PD9cTL4SH64kXw8P1xEvh4Xri5fBwPfFKeLieeDU8XE+8Fh6uJ14PD9cTb4SH64k3w8P1xFvh4Xri7fDww4b9d3i4nvhPeLieeCc8XE+8Gx6uJ94LD9cT74eH64kPwsP1xIfh4Xrio/BwPfHf8HA98XF4uJ74JDxcT3waHq4nPgsP1xOfh4friS/Cw/XE/8LD9cSX4eF64qvwcD3xdXi4nvgmPFxPfBserie+Cw/XE9+Hh+uJH8LD9cSP4eF64qfwcD3hQOyn4HqiaaqH64m2qR6uJ7qmerie6Jvq4RcOO0JTPVxPjNhUD9cTIzXVw/XEyE31cD0xSlM9XE+M2lQP1xOjNdXD9cToTfVwPTFGUz1cT4zZVA/XE2M11cP1xNhN9XA9MU5TPVxPjNtUD9cT4zXVw/XE+E31cD0xQVM9XE9M2FQP1xMTNdXD9cTETfVwPTFJUz1cT0zaVA/XE5M11cP1xORN9XA9MUVTPVxPTNlUD9cTUzXVw/XE1E31cD0xTVM9XE9M21QP1xPTNdXD9cT0TfXw+4edoakeridmbKqH64mZmurhemLmpnq4npilqR6uJ2Ztqofridma6uF6YvameriemKOpHq475myqpzP0xNwDn6upXE/M01QP1xPzNtXD9cR8TfVwPTF/Uz1cTyzQVA/XEws21cP1xEJN9XA9sXBTPVxPLNJUD9cTizbVw/XEYk31cD2xeFM9XE8s0VQP1xNLNtXD9cRSTfVwPbF0Uz1cTyzTVA/XE8s21cP1xHJN9XA9sXxTPfz1YVdoqoe/MeyKTfVwPbFSUz1cT6zcVA/XE6s01cP1xKpN9XA9sVpTPVxPrN5UD9cTazTVw/XEmk31cD2xVlM9XE+s3VQP1xPrNNXD9cS6TfVwPbFeUz1cT6zfVA/XExs01cP1xIZN9XA9sVFTPVxPbNxUD9cTmzTVw/XEpk31cD2xWVM9XE9s3lQP1xNbNNXD9cSWTfVwPbFVUz1cT2zdVA/XE9s01cP1xLZN9XA9sV1TPVxPbN9UD9cTOzTVw/XEjuHhemKn8HA9sXN4uJ7YJTxcT+waHq4ndgsP1xO7h4friT3Cw/XEnuHhemKv8HA9sXd4uJ74eXi4nvhFeLie2Cc8XE/sGx6uJ/YLD9cTvwwP1xP7h4friQPCw/XEr8LD9cSB4eF64qDwcD1xcHi4njgkPFxPHBoerid+HR6uJw4LD9cTvwkP1xOHh4friSPCw/XEb8PD9cTvwsP1xJHh4XriqPBwPXF0eLieOCY8XE8cGx6uJ44LD9cTx4eH64kTwsP1xInh4XripPBwPfH78HA98YfwcD1xcni47jglPJ2hJ04b9tTgeuL08HA9cUZ4uJ44MzxcT5wVHq4nzg4P1xPnhIfriXPDw/XEeeHheuL88HA9cUF4uJ64MDxcT1wUHq4nLg4P1xOXhIfriUvDw/XEZeHheuLy8HA9cUV4uJ64MjxcT1wVHq4nrg4P1xPXhIfriWvDw/XEdeHheuL68HA98cfwcD3xp/BwPXFDeLieuDE8XE/cFB6uJ24OD9cTt4SH64lbw8P1xG3h4Xri9vBwPXFHeLieuDM8XE/cFR6uJ+4OD9cT94SH64l7w8P1xH3h4Xri/vBwPfFAeLieeDA8XE88FB6uJ/4cHq4n/hIericeDg/XE4+Eh+uJv4aH64m/hYfriUfDw/XEY+HheuLx8HA98UR4uJ74e3i4nvhHeLieeDI8XE88FR6uJ54OD9cTz4SH64lnw8P1xHPh4Xrin+HheuJf4eF64vnwcD3xQni4nngxPFxPvBQerideDg/XE6+Eh+uJV8PD9cRr4eF64vXwcD3xRni4nngzPFxPvBUerifeDg/XE/8OD9cT/wkP1xPvhIfriXfDw/XEe+HheuL98HA98UF4uJ74MDxcT3wUHq4n/hseric+Dg/XE5+Eh+uJT8PD9cRn4eF64vPwcD3xRXi4nvhfeLie+DI8XE98FR6uO74OT2foiW+H/Sa4nvguPFxPfB8erid+CA/XEz+Gh+uJn8LD9YQfUn4Krieatnq4nmjb6uF6omurh+uJvq0eridGaKuH64kR2+rhemKktnq4nhi5rR6uJ0Zpq4friVHb6uF6YrS2erieGL2tHq4nxmirh+uJMdvq4XpirLZ6uJ4Yu60erifGaauH64lx2+rhemK8tnq4nhi/rR6uJyZoq4friQnb6uF6YqK2eriemLitHq4nJmmrh+uJSdvq4XpisrZ6uJ6YvK0eriemaKuH64kp2+rhemKqtnq4npi6rR6uJ6Zpq4friWnb6uF6Yrq2eriemL6tHq4nZmirh+uJGdvq4XpiprZ6uJ6Yua0eridmaauH64lZ2+rhemK2tnq4npi9rR6uJ+Zoq4friTnb6uF6Yq62eriemLutHq4n5mmrh+uJedvq4XpivrZ6uJ6Yv60ericWaKuH64kF2+rhemKhtnq4nli4rR6uJxZpq4friUXb6uF6YrG2erieWLytHq4nlmirh+uJJdvq4XpiqbZ6uJ5Yuq0erieWaauH64ll2+rhemK5tnq4nli+rR6uJ1Zoq4friRXb6uF6YqW2erieWLmtHq4nVmmrh+uJVdvq4XpitbZ6uJ5Yva0erifWaKuH64k12+rhemKttnq4nli7rR6uJ9Zpq4friXXb6uF6Yr22erieWL+tHq4nNmirh+uJDdvq4Xpio7Z6uJ7YuK0eric2aauH64lN2+rhemKztnq4nti8rR6uO7Zoq6cz9MRWA9+yrVxPbN1WD9cT27TVw/XEtm31cD2xXVs9XE9s31YP1xM7tNXD9cSO4eF6YqfwcD2xc3i4ntglPFxP7Boerid2Cw/XE7uHh+uJPcLD9cSe4eF6Yq/wcD2xd3i4nvh5eLie+EV4uJ7YJzxcT+wbHq4n9gsP1xO/DA/XE/uHh+uJA8LD9cSvwsP1xIHh4XrioPBwPXFweLieOCQ8XE8cGh6uJ34dHq4nDgsP1xO/CQ/XE4eHh+uJI8LD9cRvw8P1xO/Cw/XEkeHheuKo8HA9cXR4uJ44JjxcTxwbHq4njgsP1xPHh4friRPCw/XEieHheuKk8HA98fvwcD3xh/BwPXFyeLieOCU8XE+cGh6uJ04LD9cTp4eH64kzwsP1xJnh4XrirPBwPXF2eLieOCc8XE+cGx6uJ84LD9cT54eH64kLwsP1xIXh4XriovBwPXFxeLieuCQ8XE9cGh6uJy4LD9cTl4eH64krwsP1xJXh4XriqvBwPXF1eLieuCY8XE9cGx6uJ64LD9cT14eH64k/hofriT+Fh+uJG8LD9cSN4eF64qbwcD1xc3i4nrglPFxP3BoeriduCw/XE7eHh+uJO8LD9cSd4eF64q7wcD1xd3i4nrgnPFxP3BserifuCw/XE/eHh+uJB8LDdceD4ekMPfHnYR8Krif+Eh6uJx4OD9cTj4SH64m/hofrib+Fh+uJR8PD9cRj4eF64vHwcD3xRHi4nvh7eLie+Ed4uJ54MjxcTzwVHq4nng4P1xPPhIfriWfDw/XEc+HheuKf4eF64l/h4Xri+fBwPfFCeLieeDE8XE+8FB6uJ14OD9cTr4SH64lXw8P1xGvh4Xri9fBwPfFGeLieeDM8XE+8FR6uJ94OD9cT/w4P1xP/CQ/XE++Eh+uJd8PD9cR74eF64v3wcD3xQXi4nvgwPFxPfBQerif+Gx6uJz4OD9cTn4SH64lPw8P1xGfh4Xri8/BwPfFFeLie+F94uJ74MjxcT3wVHq4nvg4P1xPfhIfriW/Dw/XEd+HheuL78HA98UN4uJ74MTxcT/wUHq4nXBj5U3A90XTVw/VE21UP1xNdVz1cT/Rd9XA9MUJXPVxPjNhVD9cTI3XVw/XEyF31cD0xSlc9XE+M2lUP1xOjddXD9cToXfVwPTFGVz1cT4zZVQ/XE2N11cP1xNhd9XA9MU5XPVxPjNtVD9cT43XVw/XE+F31cD0xQVc9XE9M2FUP1xMTddXD9cTEXfVwPTFJVz1cT0zaVQ/XE5N11cP1xORd9XA9MUVXPVxPTNlVD9cTU3XVw/XE1F31cD0xTVc9XE9M21UP1xPTddXD9cT0XfVwPTFDVz1cT8zYVQ/XHTN11dMZemKWgc/cVa4nZu2qh+uJ2brq4Xpi9q56uJ6Yo6serifm7KqH64m5uurhemLurnq4npinqx6uJ+btqofrifm66uF6Yv6uerieWKCrHq4nFuyqh+uJhbrq4Xpi4a56uJ5YpKsericW7aqH64nFuurhemLxrnq4nliiqx6uJ5bsqofriaW66uF6YumuerieWKarHq4nlu2qh+uJ5brq4Xpi+a56uJ5YoaseridW7KqH64mVuurhemLlrnq4nlilqx6uJ1btqofridW66uF6YvWuerieWKOrHq4n1uyqh+uJtbrq4Xpi7a56uJ5Yp6serifW7aqH64n1uurhemL9rnq4ntigqx6uJzbsqofriY266uF6YuOuerie2KSrHq4nNu2qh+uJzbrq4Xpi8656uJ7Yoqserie27KqH64mtuurhemLrrnq4ntimqx6uJ7btqofrie266uF6Yvuuerie2KGrHq4ndgwP1xM7hYfriZ3Dw/XELuHhemLX8HA9sVt4uJ7YPTxcT+wRHq4n9gwP1xN7hYfrib3Dw/XEz8PD9cQvwsP1xD7h4Xpi3/BwPbFfeLie+GV4uJ7YPzxcTxwQHq4nfhUericODA/XEweFh+uJg8PD9cQh4eF64tDwcD3x6/BwPXFYeLie+E14uJ44PDxcTxwRHq4nfhserid+Fx6uJ44MD9cTR4WH64mjw8P1xDHh4Xri2PBwPXFceLjuOD48naEnThz2hOB64qTwcD3x+/BwPfGH8HA9cXJ4uJ44JTxcT5waHq4nTgsP1xOnh4friTPCw/XEmeHheuKs8HA9cXZ4uJ44JzxcT5wbHq4nzgsP1xPnh4friQvCw/XEheHheuKi8HA9cXF4uJ64JDxcT1waHq4nLgsP1xOXh4friSvCw/XEleHheuKq8HA9cXV4uJ64JjxcT1wbHq4nrgsP1xPXh4friT+Gh+uJP4WH64kbwsP1xI3h4XripvBwPXFzeLieuCU8XE/cGh6uJ24LD9cTt4eH64k7wsP1xJ3h4XrirvBwPXF3eLieuCc8XE/cGx6uJ+4LD9cT94eH64kHwsP1xIPh4XriofBwPfHn8HA98ZfwcD3xcHi4nngkPFxP/DU8XE/8LTxcTzwaHq4nHgsP1xOPh4friSfCw/XE38PD9cQ/wsP1xJPh4XriqfBwPfF0eLieeCY8XE88Gx6uJ54LD9cT/wwP1xP/Cg/XE8+Hh+uJF8LD9cSL4eF64qXwcD3xcni4nnglPFxPvBoerideCw/XE6+Hh+uJN8LD9cSb4eF64q3wcD3xdni4nvh3eLie+E94uJ54JzxcT7wbHq4n3gsP1xPvh4friQ/Cw/XEh+HheuKj8HA98d/wcD3xcXi4nvgkPFx3fBqeztATnw/7WXA98UV4uJ74X3i4nvgyPFxPfBUerie+Dg/XE9+Eh+uJb8PD9cR34eF64vvwcD3xQ3i4nvgxPFxP/BQeric82PhTcD3R9NXD9UTbVw/XE11fPVxP9H31cD0xQl89XE+M2FcP1xMj9dXD9cTIffVwPTFKXz1cT4zaVw/XE6P11cP1xOh99XA9MUZfPVxPjNlXD9cTY/XVw/XE2H31cD0xTl89XE+M21cP1xPj9dXD9cT4ffVwPTFBXz1cT0zYVw/XExP11cP1xMR99XA9MUlfPVxPTNpXD9cTk/XVw/XE5H31cD0xRV89XE9M2VcP1xNT9dXD9cTUffVwPTFNXz1cT0zbVw/XE9P11cP1xPR99XA9MUNfPVxPzNhXD9cTM/XVw/XEzH31cD0xS189XE/M2lcP1xOz9dXD9cTsffVwPTFHXz1cT8zZVw/XE3P11cP1xNx99XA9MU9fPVxPzNtXD9cT8/XVw/XE/H31cD2xQF89XE8s2FcP1xML9dXD9cTCffVwPbFIXz1cTyzaVw/XE4v11cP1xOJ99XA9sURfPVxPLNlXD9cTS/XVw/XE0n31cD2xTF89XE8s21cP1xPL9dXD9cTyffVwPbFCXz1cT6zYVw/XEyv11cP1xMp99XA9sUpfPVxPrNpXD9cTq/XVw/XE6n31cD2xRl89XE+s2VcP1xNr9dXD9cTaffVwPbFOXz1cT6zbVw/XE+v11cP1xPp99XA9sUFfPVx3bNhXT2foiY0HvlFfuZ7YpK8eric27auH64nN+urhemLzvnq4ntiirx6uJ7bsq4fria366uF6Yuu+erie2KavHq4ntu2rh+uJ7frq4Xpi+756uJ7Yoa8erid2DA/XEzuFh+uJncPD9cQu4eF6YtfwcD2xW3i4ntg9PFxP7BEerif2DA/XE3uF938YiQYReJxd11MTgIe5ReGkzYfGtm3btm3bttGkjW2rDao4RWyzjZ02aeO0cXJmznzPxbv3zZ5Zs/7AGnmkEf5/owy/5/B7BB91+L3Cw0cbfu/w8NGH3yc8fIzh9w0PH3P4/cLDxxp+//DwsYc/IDx8nOEPDA8fd/iDwsPHG/7g8PDxhz8kPHyC4Q8ND59w+MPCwyca/vDw8ImHPyI8fJLhjwwPn3T4o8LDJxv+6PDwyYc/Jjx8iuGPDQ+fcvjjwsOnGv6X4eFTD398ePg0w58QHj7t8L8KD59u+F+Hh08//Inh4TMMf1J4+IzDnxwePtPwp4SHzzz8qeHhswx/Wnj4rMOfHh4+2/BnhIfPPvyZ4eFzDH9WePicw58dHj7X8OeEh889/Lnh4fMMf154+LzDnx8ePt/wF4SHzz/8heHhCwx/UXj4gsNfHB6+0PCXhIcvPPyl4eGLDH9ZePiiw18eHr7Y8FeEhy8+/JXh4UsMf1V4+JLDXx0evtTw14SHLz38teHhywz/m/DwZYf/bXj4csNfFx6+/PDXh4evMPwN4eErDn9jePhKw/8uPHzl4X8fHr7K8H8ID191+D+Gh682/J/Cw1cf/qbw8DWGvzk8fM3hbwkPX2v4W8PD1x7+tvDwdYa/PTx83eHvCA9fb/g7w8PXH/7P4W0w/IbD/3X4vwTfaPi/hYdvPPxd4eGbDH93ePimw98THr7Z8PeGh28+/H3h4VsMf394+JbDPxAevtXwD4aHbz38Q+Hh2wz/cHj4tsM/Eh6+3fCPhodvP/xj4eE7DP94ePiOwz8RHr7T8E+Gh+88/FPh4bsM/3R4+K7DPxMevtvwz4aH7z78c+HheuL58HA98UJ4uJ54MTxcT/w9PFxP/CM8XE+8FB6uJ14OD9cTr4SH64lXw8P1xGvh4Xri9fBwPfFGeLieeDM8XE+8FR6uJ94OD9cT74SH64l3w8P1xHvh4Xri/fBwPfHP8HA98a/wcD3xQXi4nvgwPFxP/Ds8XE/8JzxcT3wUHq4nPg4P1xOfhIfriU/Dw/XEZ+HheuLz8HA98UV4uJ74MjxcT/w3PFxP/C88XE98FR6uJ74OD9cT34SH64lvw8P1xHfh4Xri+/BwPfFDeLie+DE8XE/8FB6uJ0ZoqofriRGb6uF64mdN9XA98fOmerieGKmpHq4nmqZ6uJ5om+rheqJrqofrib6pHq4nftFUD9cTIzfVw/XEKE31cD0xalM9XE+M1lQP1xOjN9XD9cQYTfVwPTFmUz1cT4zVVA/XE2M31cP1xDhN9XA9MW5TPVxPjNdUD9cT4zfVw/XEBE31cD0xYVM9XE9M1FQP1xMTN9XD9cQkTfVwPTFpUz1cT0zWVA/XE5M31cP1xBRN9XDdMWVTPZ2hJ6Ye+FRN5XpimqZ6uJ6Ytqkeriema6qH64npm+rhemKGpnq4npixqR6uJ2ZqqofriZmb6uF6YpameriemLWpHq4nZmuqh+uJ2Zvq4XpijqZ6uJ6Ys6kerifmaqqH64m5m+rhemKepnq4npi3qR6uJ+Zrqofrifmb6uF6YoGmerieWLCpHq4nFmqqh+uJhZvq4XpikaZ6uJ5YtKkericWa6qH64nFm+rhemKJpnq4nliyqR6uJ5ZqqofriaWb6uF6YpmmerieWLapHq4nlmuqh+uJ5Zvq4XpihaZ6uJ5YsakeridWaqqH64mVm+rhemKVpnq4nli1qR6uJ1ZrqofridWb6uF6Yo2merieWLOpHq4n1mqqh+uJtZvq4XpinaZ6uJ5Yt6kerifWa6qH64n1m+rhemKDpnq4ntiwqR6uJzZqqofriY2b6uF6YpOmerie2LSpHq4nNmuqh+uJzZvq4Xpii6Z6uJ7Ysqkerie2aqqH64mtm+rhemKbpnq4nti2qR6uJ7Zrqofrie3Dw/XEDuHhemLH8HA9sVN4uJ7YOTxcT+wSHq4ndg0P1xO7hYfrid3Dw/XEHuHhemLP8HA9sVd4uJ7YOzxcT+wTHq4n9g0P1xP7hYfrif3Dw/XEAeHheuLA8HA9cVB4uJ44ODxcTxwSHq4nDg0P1xOHhYfricPDw/XEEeHheuLI8HA9cVR4uJ44OjxcTxwTHq4njg0P1x3Hhacz9MTxw/8yuJ44ITxcT/wqPFxP/Do8XE+cGB6uJ04KD9cTJ4eH64lTwsP1xKnh4XritPBwPXF6eLieOCM8XE+cGR6uJ84KD9cTZ4eH64lzwsP1xLnh4XrivPBwPXF+eLieuCA8XE9cGB6uJy4KD9cTF4eH64lLwsP1xKXh4XrisvBwPXF5eLieuCI8XE9cGR6uJ64KD9cTV4eH64lrwsP1xLXh4XriN+HheuK34eF64rrwcD1xfXi4nrghPFxP3Bgerid+Fx6uJ34fHq4n/hAerif+GB6uJ/4UHq4nbgoP1xM3h4friVvCw/XEreHheuK28HA9cXt4uJ64IzxcT9wZHq4n/hwerif+Eh6uJ/4aHq4n/hYerifuCg/XE3eHh+uJe8LD9cS94eF64r7wcD1xf3i4nnggPFxPPBgericeCg/XEw+Hh+uJR8LD9cSj4eF64rHwcD3xeHi4nngiPFxPPBkerieeCg/XE0+Hh+uJZ8LD9cSz4eF64rnwcD3xfHi4nnghPFxPvBgerif+Hh6uJ/4RHq4nXgoP1xMvh4friVfCw/XEq+HheuK18HA98Xp4uJ54IzxcT7wZHq4n3goP1xNvh4friXfCw/XEu+HheuK98HA98X54uJ74Z3i4nvhXeLie+CA8XHd8GJ7O0BP/Gf7fwfXER+HheuLj8HA98Ul4uJ74NDxcT3wWHq4nPg8P1xNfhIfriS/Dw/XEf8PD9cT/wsP1xFfh4Xri6/BwPfFNeLie+DY8XE98Fx6uJ74PD9cTP4SH64kfw8P1xE/h4XpihLZ6uJ4Ysa0erid+1lYP1xM/b6uH64mR2urheqJpq4fribatHq4nurZ6uJ7o2+rheuIXbfVwPTFyWz1cT4zSVg/XE6O21cP1xGht9XA9MXpbPVxPjNFWD9cTY7bVw/XEWG31cD0xdls9XE+M01YP1xPjttXD9cR4bfVwPTF+Wz1cT0zQVg/XExO21cP1xERt9XA9MXFbPVxPTNJWD9cTk7bVw/XEZG31cD0xeVs9XE9M0VYP1xNTttXD9cRUbfVwPTF1Wz1cT0zTVg/XE9O21cP1xHRt9XA9MX1bPVxPzNBWD9cTM7bVw/XETG31cD0xc1s9XE/M0lYP1xOzttXD9cRsbfVwPTF7Wz1cT8zRVg/XE3O21cP1xFxt9XA9MXdbPVxPzNNWD9cT87bVw/XEfG31cD0xf1s9XE8s0FYP1xMLttXD9cRCbfVwPbFwWz1cTyzSVg/XE4u21cP1xGJt9XA9sXhbPVxPLNFWD9cTS7bVw/XEUm31cD2xdFs9XE8s01YP1xPLttXD9cRybfVwPbF8Wz1cT6zQVg/XEyu21cP1xEpt9XA9sXJbPVxPrNJWD9cTq7bVw/XEam31cD2xels9XHes0VZPZ+iJtQa+Zlu5nli7rR6uJ9Zpq4friXXb6uF6Yr22erieWL+tHq4nNmirh+uJDdvq4Xpio7Z6uJ7YuK0eric2aauH64lN2+rhemKztnq4nti8rR6uJ7Zoq4friS3b6uF6Yqu2erie2LqtHq4ntmmrh+uJbdvq4Xpiu7Z6uJ7YPjxcT+wQHq4ndgwP1xM7hYfriZ3Dw/XELuHhemLX8HA9sVt4uJ7YPTxcT+wRHq4n9gwP1xN7hYfrib3Dw/XEPuHhemLf8HA9sV94uJ7YPzxcTxwQHq4nDgwP1xMHhYfriYPDw/XEIeHheuLQ8HA9cVh4uJ44PDxcTxwRHq4njgwP1xNHhYfriaPDw/XEMeHheuLY8HA9cVx4uJ74ZXi4njg+PFxPnBAerid+FR6uJ34dHq4nTgwP1xMnhYfriZPDw/XEKeHheuLU8HA9cVp4uJ44PTxcT5wRHq4nzgwP1xNnhYfribPDw/XEOeHheuLc8HA9cV54uJ44PzxcT1wQHq4nLgwP1xMXhYfriYvDw/XEJeHheuLS8HA9cVl4uJ64PDxcT1wRHq4nrgwP1xNXhYfriavDw/XENeHheuLa8HA98ZvwcD3x2/BwPXFdeLieuD48XE/cEB6uJ24MD9cTvwsP1xO/Dw/XE38ID9cTfwwP1xN/Cg/XEzeFh+uOm8PTGXri1uFvCa4nbgsP1xO3h4friTvCw/XEneHheuLP4eF64i/h4Xrir+HheuJv4eF64q7wcD1xd3i4nrgnPFxP3BserifuCw/XE/eHh+uJB8LD9cSD4eF64qHwcD3xcHi4nngkPFxPPBoericeCw/XE4+Hh+uJJ8LD9cST4eF64qnwcD3xdHi4nngmPFxPPBserieeCw/XE8+Hh+uJF8LD9cSL4eF64u/h4XriH+HheuKl8HA98XJ4uJ54JTxcT7waHq4nXgsP1xOvh4friTfCw/XEm+HheuKt8HA98XZ4uJ54JzxcT7wbHq4n3gsP1xPvh4friX+Gh+uJf4WH64kPwsP1xIfh4Xri3+HheuI/4eF64qPwcD3xcXi4nvgkPFxPfBoeric+Cw/XE5+Hh+uJL8LD9cSX4eF64r/h4Xrif+HheuKr8HA98XV4uJ74JjxcT3wbHq4nvgsP1xPfh4friR/Cw/XEj+HheuKn8HA9MUJXPVxPjNhVD9cTP+uqh+uJn3fVw/XESF31cD3RdNXD9UTbVQ/XE11XPVxP9F31cD3xi656uJ4YuaseridG6aqH64lRu+rhemK0rnq4nhi9qx6uJ8boqofriTG76uF6YqyuerieGLurHq4nxumqh+uJcbvq4XpivK56uJ4Yv6sericm6KqH64kJu+rhumOirno6Q09MMvCJu8r1xKRd9XA9MVlXPVxPTN5VD9cTU3TVw/XElF31cD0xVVc9XE9M3VUP1xPTdNXD9cS0XfVwPTFdVz1cT0zfVQ/XEzN01cP1xIxd9XA9MVNXPVxPzNxVD9cTs3TVw/XErF31cD0xW1c9XE/M3lUP1xNzdNXD9cScXfVwPTFXVz1cT8zdVQ/XE/N01cP1xLxd9XA9MV9XPVxPzN9VD9cTC3TVw/XEgl31cD2xUFc9XE8s3FUP1xOLdNXD9cSiXfVwPbFYVz1cTyzeVQ/XE0t01cP1xJJd9XA9sVRXPVxPLN1VD9cTy3TVw/XEsl31cD2xXFc9XE8s31UP1xMrdNXD9cSKXfVwPbFSVz1cT6zcVQ/XE6t01cP1xKpd9XA9sVpXPVxPrN5VD9cTa3TVw/XEml31cD2xVlc9XE+s3VUP1xPrdNXD9cS6XfVwPbFeVz1cT6zfVQ/XExt01cP1xIZd9XA9sVFXPVxPbNxVD9cTm3TVw/XEpl31cD2xWVc9XE9s3lUP1xNbdNXD9cSWXfVwPbFVVz1cT2zdVQ/XE9t01cP1xLZd9XA9sV1XPVxPbB8erid2CA/XEzuGh+uJncLD9cTO4eF6YpfwcD2xa3i4ntgtPFxP7B4erif2CA/XE3uGh+uJvcLD9cTe4eF6Yp/wcD2xb3i4ntgvPFxP7B8ericOCA/XEweGh+uJg8LD9cTB4eF64pDwcD1xaHi4njgsPFx3HB6eztATRw5/RHA9cVR4uJ44OjxcTxwTHq4njg0P1xPHhYfriV+Gh+uJ48PD9cQJ4eF64lfh4Xri1+HheuLE8HA9cVJ4uJ44OTxcT5wSHq4nTg0P1xOnhYfridPDw/XEGeHheuLM8HA9cVZ4uJ44OzxcT5wTHq4nzg0P1xPnhYfrifPDw/XEBeHheuLC8HA9cVF4uJ64ODxcT1wSHq4nLg0P1xOXhYfricvDw/XEFeHheuLK8HA9cVV4uJ64OjxcT1wTHq4nrg0P1xO/CQ/XE78ND9cT14WH64nrw8P1xA3h4XrixvBwPfG78HA98fvwcD3xh/BwPfHH8HA98afwcD1xU3i4nrg5PFxP3BIeriduDQ/XE7eFh+uJ28PD9cQd4eF64s7wcD3x5/BwPfGX8HA98dfwcD3xt/BwPXFXeLieuDs8XE/cEx6uJ+4ND9cT94WH64n7w8P1xAPh4XriwfBwPfFQeLieeDg8XE88Eh6uJx4ND9cTj4WH64nHw8P1xBPh4XriyfBwPfFUeLieeDo8XE88Ex6uJ54ND9cTz4WH64nnw8P1xAvh4XrixfBwPfH38HA98Y/wcD3xUni4nng5PFxPvBIerideDQ/XE6+Fh+uJ18PD9cQb4eF64s3wcD3xVni4nng7PFx3vBOeztAT7w3/bnA98X54uJ74Z3i4nvhXeLie+CA8XE98GB6uJ/4dHq4n/hMeric+Cg/XEx+Hh+uJT8LD9cSn4eF64rPwcD3xeXi4nvgiPFxPfBkerif+Gx6uJ/4XHq4nvgoP1xNfh4friW/Cw/XEt+HheuK78HA98X14uJ74ITxcT/wYHq4nfgoP1xMj9NXD9cSIffVwPfGzvnq4nvh5Xz1cT4zUVw/XE01fPVxPtH31cD3R9dXD9UTfVw/XE7/oq4friZH76uF6YpS+erieGLWvHq4nRuurh+uJ0fvq4XpijL56uJ4Ys68erifG6quH64mx++rhemKcvnq4nhi3rx6uJ8brq4frifH76uF6YoK+eriemLCvHq4nJuqrh+uJifvq4Xpikr56uJ6YtK8ericm66uH64nJ++rhemKKvnq4npiyrx6uJ6bqq4frian76uF6Ypq+eriemLavHq4npuurh+uJ6fvq4Xpihr56uJ6Ysa8eridm6quH64mZ++rhemKWvnq4npi1rx6uJ2brq4fridn76uF6Yo6+eriemLOvHq4n5uqrh+uJufvq4Xpinr56uJ6Yt68erifm66uH64n5++rhemKBvnq4nliwrx6uJxbqq4friYX76uF6YpG+erieWLSvHq4nFuurh+uJxfvq4Xpiib56uJ5Ysq8erieW6quH64ml++rhemKZvnq4nli2rx6uJ5brq4frieX76uF6YoW+erjuWLGvns7QEysPfKW+cj2xSl89XE+s2lcP1xOr9dXD9cTqffVwPbFGXz1cT6zZVw/XE2v11cP1xNp99XA9sU5fPVxPrNtXD9cT6/XVw/XE+n31cD2xQV89XE9s2FcP1xMb9dXD9cTGffVwPbFJXz1cT2zaVw/XE5v11cP1xOZ99XA9sUVfPVxPbNlXD9cTW/XVw/XE1n31cD2xTV89XE9s21cP1xPb9dXD9cT24eF6YofwcD2xY3i4ntgpPFxP7Bwerid2CQ/XE7uGh+uJ3cLD9cTu4eF6Yo/wcD2xZ3i4ntgrPFxP7B0erif2CQ/XE/uGh+uJ/cLD9cT+4eF64oDwcD1xYHi4njgovP8D1M9KcXicXZdnFxBiAEZTpNfWQbYyKw17k8pOVoOkjMgmm0io7FmoZBQZFRmlzGwVsveWvXdG1jnOcz+89/lyz7nn/oFnmSYN/t+y4cDwNPnlwtPV4ZuFZ6jDLx8OUodfITxTHX7FcLA6/ErhWerwK4dnq8OvEp6jDr9qOEQdfrVwqDp883CYOnyL8Fx1+NXD89Th1wjPV4dfM7xAHX6t8EJ1+LXDi9Th1wkvVodvGV6iDt8qvFQdvnV4mTr8uuHl6vBtwivU4duGw9Xh24Uj1OHbh1eqw68XXqUOv354tTr8BuFIdfgNw1Hq8BuFo9XhNw6vUYffJByjDr9peK06/Gbhderwm4fXq8NvEd6gDr9lOFYdfqtwnDr81uGN6vDbhDepw3cIx6vDbxverA7fMbxFHb5TeKs6fOfwNnX47cIJ6vDbhxPV4XcIJ6nD7xjerg6/U3iHup3DXcI7w8nyXcK71OF3De9Wh+8a3qMOv1s4RR1+93CqOvwe4b3q8HuG09Th9wqnq8N3C+9Th+8e3q8O3yN8QB2+Z/igOvze4UPq8PuED6vD9wpnqMPvGz6iDt87fFQdfr/wMXX4PuHj6vB9wyfU4fcPn1SHPyB8Sh3+wPBpdfiDwpnq8P3CWerwB4ez1eEPCZ9Rh+8fPqsOf2j4nDr8YeEcdfjDw+fV4Y8IX1CHPzJ8UR3+qPAldfijw5fV4Y8JX1GHPzZ8VR1+QPiaOvxx4evq8MeHb6jDnxC+qQ5/YviWOvxJ4dvq8CeH76jDnxK+qw5/avieOjx/4n11eP7EB+rw/IkP1eH5Ex+pw/Mn5qrD8yc+VofnT3yiDs+f+FQdnj/xmTo8f+JzdXj+xBfq8PyJL9Xh+RNfqcPzJ75Wh+dPfKMOz5/4Vh2eP/GdOjx/4nt1eP7ED+rw/Ikf1eH5Ez+pw/MnflaH50/8og7Pn/hVHZ4/MU8dnj/xmzo8f+J3dXj+xB/q8PyJP9Xh+RPz1eH5E3+pw/Mn/laH50/8ow7Pn/hXHZ4/0aDUHZ4/sUCpOzx/omGpOzx/olGpOzx/YsFSd3j+xEKl7vD8ical7vD8iYVL3eH5E01K3eH5E6XUHZ4/sUipOzx/YtFSd3j+xGKl7vD8icVL3eH5E0uUusPzJ5YsdYfnTyxV6g7Pn1i61B2e39G01N1/spdLtQ==AQAAAACAAADARAAAdAsAAA==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AQAAAACAAACYCAAAGQAAAA==eJzj5BwFo2AUjIJRMApGwSgYHAAAmNhNWQ==
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CylinderKnMa/Kn0p18/simulation0332_Kn0p18Ma5p1/Lambda/Lambda_7_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="2323" NumberOfCells="2200" >
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+ </Points>
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+ <Cells>
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+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="34160" />
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+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="50124" />
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+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="54060" />
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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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_AQAAAACAAADARAAAkgkAAA==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AQAAAACAAADARAAAbAMAAA==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eJztxb1KQgEAhmFwCKRBs0GhwRokjAYXMSrIIIoIXASHEAMdrKmwwaUarCUJ4oAOLeFiRIOUokQi/QydIaLFoSGCfoiEcquQli6g7xLeZ3nMucD2ZL89aDLzv42N39GVEDOrJ64fqltrzKy2dgrJyhEzq0+DmWfznpnVmdXp3HdXDzOLffVBW7efmdWPFmvWnWBm9aH/dixkMLM6sl6qxc+ZWT1wnFo0PplZffcTfin2OZhZvDfkyjdnmVk9k+rYWmlmVjuKjUvnATOrLz72x4ebzKzOuhPteUsvM4tHklNLyz5mVr+VPK+bMWZWnzy18uUdZlYveG/s5hkzq73R3auvd2ZW/wFCUY/NAQAAAACAAADARAAAuSUAAA==eJxdW3dcTv/7NrJFkZHsEFkRWXEQIqJEZhIpq/VU2nVa2nvvvVFUimiJFBEhkZEVKaGEJL+7z+9zfd9en7/er+d5znPOe9zjuq77Pld1K1yzTvPcri9xMUJ+PHexS2K4qD/PqctOiezny3Njl0uEjA7nubO7mt1NaFRMft9i4slz46xWNxU78twDzcysl7Y8t1JkT6KbGc+189d2Zp7kOc0kowPbT/Dc+u8Dpkvp0/0KS5/lmPBch5yibroRzzXXBL8YZsFzyyN3+PjQ52vj2z7vOMVzrbfCWgbb8NyVj+X2F5x4bq61zdnNXjx3ZN1uhVCaX7n9rltRYTx3K7v+dXAsz0l8jk4VjeG5hvklQhXBPDflhZJENl2X/rrR1DKQ5yY1Kgrn0f8z1f0bJjjzXNHrSp9zrjwX17d+pTvd33LdCo3b9P3mFyLbJCx5zmT/QtnHNK+JHY2KRw157tG0mi5PHfbZT36KcxfNb8wA+Yc3aHTdKRDSdOE50UciOtNoX5T2n/xjQM+/ofiwOJbm4/SkMjmP9q3CYm9dWBTP7ZeQvvEzguf2pEw//yeIrcuvrZvbGspzX5b+urQrkue4FStMHobw3K89c9Z/pev6fz9Q607XDch98cSNzufjMOOAQ/TZMGZI3XxvNhppeNbP8+G5pbUyCq/d6Lze6zaZevBcUlvDHgea35heYZ7iIWzEfOeb8AWKNL74tqrzVgDPLR43+MPyaDbfqgsOy1fTfaQCTRx32dP1VpJC3+i8k2wdIxbQ+W3IdZ05w4DndBW6w9ZY85zCxVf3rJ3YvEYE+h2T9GLPmXhiQ/9LHmxdny0tL+6m52Q8UFxRcZ7nagYqPqm9xXPPq1vVv8TZcYvE7pvKl1hwO1ybZxqHmnDdbT7ifTcIONNW+S3qsUbchtt+y5MDjLjPNX2u1xUacQl8Qk1agxF3/XrHn9GDBJxH68PHBksE3JUSrWy9QwJOZJyOsGO0gCse9LIk/aGAqz3fa79db2POWmij7bCVxpyn1cq01WbGXF3ZSI9Z8TznHLo5/SLNr/zao/JoOqfBs960OtJ4N915ozztd6LZy+1O7mTv596+MCf7etpv2fMaWt9zi5VtVbQ+2akDnq4iO3gfcGtxQSLPLdvi03tREs/ta0gp6KL7HFt0QNOX7Fo46r2QLe37AmmhqrVkP+I/IsJHRbDfxS+OjxYj++hnpVHtSc/d7hxuPYzsL2DRtIAfdC5dB+96xdD+hzeoDAozJf+Mm3e2gey013D1s8Fk5z2nqULzK911NzGVzsU+db13YQDzq9U/C8we0HzWmF61vU/zfS1VNuJ6OFu372Jb+W1kN/4GvRS30PenKgL+TKP/XXfbcTWO7PRnQqrsd4obgjqv13No3R3zEyf+pn1RN40N7U/zLXlaFZVOdph4SXObM9mn0riWPgZkzztWTPQeRN8POazTydN6n1qGRE5L4bnvk4XebE6l+d+QPfqe/Pxk6iETdxrXyK5yuEfX7VhktX4/7aNTjdSBwTnkd5Y5Dp8v8JzO4vyBjecoDowuX1KZRfNbvdC8LZPn5IsDRs/LoDiX/bPi0Bnys69j50vR9Wt1Jqybkk/zGal0uYR+L7099/DPNJ5zL62pzkgme9Yr9rwTzeY3TW2bzFnah7Oj9LyN6fO7iJtSRRSPTt+vysmm6z5UKa/OT2Hzupkj59WSy3MRbt5uy85SfItPkheidURV9gQydp8xheK+Y0NZvMD3sfyST89pLPbP2N1F83lxZnzuBFqfoXD51ppSimvDBwxSLSQ/fPGp47ifLdd22KFa5oQ5l121UCbkpzG37vWbutWjBNzSJfvDRQONOApak6+GGHHbXlgveldkxG1qkHEJaDLiXp44rLhqsIB7N1hpjpOMgLtdGXG0S1fAzct/eCg5QcCpWEgHi1YJuJqSTs7lp4BzOnLyvY4dzw3qEJq3iOyuZVvou6FWPPeVi+7Tj/LD7tnT0nsHsvPK5r7lHKX5P1k9yl+K/EBqUM2aVLLnRdEDX8nTGCMk1/iS7OlTWUeiBu1L0Guh/RtoX2vqB2stDmbx/NnvFc13yZ4cXpWHFtD3Dx8IGywge/wVkbGmjZ73+crPC3vo89YtAomjdL/Kb/tehvyVJ7aM+CxygsZBZ1+9d6bReKdPkzT5Qbh6ZvkHX+bH7+tbLI+R/RbFbQ4468bm8SqjdEg5ndNx/ZfHvGjeIWGuemvIDq3Mxk0aT/HCvCRYeAqd37maFj8B/b4vZmbRL5pHmu47fWuyd73ZA8oW0/2Tzx/SsKf1zOllnaxM8SJlrra2nQ+LH/F2z9a5Un4OmSad+ZmeH6ifHPWN4urQM67cfPJ3N5/2Yfv/mt/BxyqT4ykezF/Yu2gDPUdMaZTVRH8W/3OExHuPIr8fKRJgOIWeM++Hbc4mH5ZvzFzE+k6jfTstpnw+h+bvGLsx8jJ9/8nBLHU/jY9Uhp+aH8nikL3ODb+rtN/ygy7uq6d9Wy6arfySnmO7aI1FGa2r6cFn1yP0vBv91Mti6P/xcgV/6mJZvMlvnzhBmPbTVNn/x4wQhjdwXqkHFWbcJX9cKR80YQ75jZfc47dJ5LfLT4sOXUBx4dvM3o+2kR3Fmy/vekLX91672OBdHM8ND/o4wpLO4dUxheE36Dltn2xvbafvm3/MFxG6yb5Pvd8vI3a3Dddn/IJjazeZcZlKj/X66xtzW3YujvT6bMQV25h/qQsy4j5Nm9rlQXmmyGDhQbubRpyuXWz9xVYjbnqFsc2kYQJO+4zcn8zlAo67uzPN55SAK4mYtmVAnIB7xhW8r6b1Hx78aGkEjZ59f0qq0z5pjaiRjqFzazB/vcmM/Gba889G+2ksUzf9pUr447NiRPtA8qv4kv1r3Chuj7ta9K7EgcXx2Io9sl50/q8N3+0y5nlupsgp952OLI7Czg7/sxAWfyfNKh+UT79b2V4l5MdzS/bNl39L9lK3Lff2Y7KzzFDR5xPJviSWlbQU9djZ8UEK8+i5szzN/NSc2XyQ75DXcc5v0o8eMqR5LGyVEm+lvON/KsHnJ80v2qd2pi/hROF/AguzV8wP9wEe+ZrTVbyT4uheSan832QX1p2F+uXubH0btY99MabrTe75fpkZxOKMmGeg2SQ/Fj9gV5cMJ08bQv6qU7xHKZj8XHqgRagqrTtu/b7lHjRf88GXtt+ldR4MvicZR/siEum9T4rmVzhdyTPThV2PfdEcVz0+gfbrecGV1jt0njtsotwHe7D5yXy2L11Pz9ne+WO5Jtmh/YTELcMp/8hKaPv7ZbO8tF5yXXRFAotfXnad0jvo3OYu785S8mbnBny+cWpTu4C+v1AZ3DGGnrf+s3a9Bc3ri/2EP/1o/rfNe8ko0PxdQr70Okjzy7of8F6Cfp+99lf8Vtq/62Id3SqEc/NKuH1Xyc62K0jwwq4sL+Mc0+rXza0if5vTtFSytYTn1pXNPFyrSuf/JDivbpg1J3H4dh//nae4gVXnrGaPMOY26M0RhL0x4mqbrtTuTTPiOttlVUzyjbgJF10dXxAOU5+77pWFkIDTV9Vx3LJQwGlcbFTQ0hJwkuJV07Po3KI35L5uCGXxoU+h3Kk3CQznI/8iv/4OOLetla73XG8+eZcPwxNLxbO4N7Se+wcH7V0SyPBIpO+C++8CWDxf00uz2J78a6BlXyk52o/r90/1UbFi+xjUlJLYRvuXmnbkhA3t+0+tWUs6aDzR1GDoQc+fY/pEO5ry2HC1k6MtaJ5XD85Y3ZfmqbLOdJY2xc3HG0c4zabPLr5b8y/EsDwmVa62PoV+l7apVY8nu+g1MFv7A93vTNgJF9MwFncVZq/xraL/WV4Kk5hAceugz7ynbTRulzdfcpDGcQsnJo2IZvjwlpFGYxB9X1gvpdib7lu55Gl9KP0+8s5Ik8m0frustXwp7ZOB5OD7C+ica0fJlj51ZDiel228q2dOeD/51oA08teOlp6Ax/KtWtF4lyHuDD8WT1AOz6DfN708/sOI7qt9U10+nMbOZ9Kr2mmfOyelL/9GdrxSYalOXQCz63vxrupL6XN63FELC/JbXfl9qoE0RojJ3Hrvx+yvZeO3KE06v4A0B9VNtB+zitTVEmh9gdOddivGMPyEPB8eOq+siZ6vtWO7VKwbWy/yDuaHuIO8+fbohyMG5M9S27+dVndgPOdWV/fM9XT+7940ndSj8cpcRdtsR2YvL1ZpcZbkP6c1DDoO0fet3eaZe+n8fuw9/Wkj5asHKnv6Kv204+7Lda87cs2Sm3JwYGCqwJTTe3N51ttcAXd6tvq1RaVG3Ij2K8WqhMM8XtrNrjtvxDWHPzkse8+IE1u3tMS/v4CTXrF7b1wCwxl55hNGD6d92fMh8Wwv2rc/Huc1PtL3b58pTium/djQUBZ3k/Khx6qHtWmUH9emRq6emsdzCRnihdJXKL9fbiszvkg8y//mqpuEe83NTW4K6Pfyjly3T4RTe9mISi6/TP//dsH/F+HKumWCTZZXiaf+Wtz9gdY1++djjdhElncf+nsLZCKY3c3wurc8nc5j2+n26UdoXl8FNmU7YphdF4anKvWi9bQf5++r/OU3wEnv9myaXdhzzrp9d26MZrgE/g68OOrGaIfxtA8L3ztVr/nrd+QL8Gnwme4qmb3NEez6NwnXxa/RfQzVPwTY0z71M7ns8oLGuV+enohMZXHb+nzkLHHCdbPz9mjF0Dj0hW5vuyg2rwHGB5+7kj1fvBw5QiSA2d3ABQ0NLoHM/sCr/3tumBf0FfAo4AXgxEWz0iWbyS/HGyv8uOLCdIur/+o3wIfQSzac1Hlt5sby6qFqtXnRHgzvwt+gg0xoXffnMl3/Plzf9ihdV7vrQmG9A8v34n9WvS4lvOHXGef6i/I4cD/y/eOa7OtP6D56eqeL5Wh+J2SFLi6jz9MjjUz3EQ7Q0N4yJJX+P0vpR+B2mq9+7BGH03T+DmFJasLE9/eP017yeLUdJzJid+uMcxac7SzlwDv3TLiCrpW6JZYCbvWd9V5qxOvn+88ZbRppxB0Rf7V7TJ7R//KtwzTFoCu0bwNbtd6epnFhcr8Hq0OZnmXY4P5QxovtE/YV/v16nu4+gT3TnxrktJVP0Sh7NnX8J1rvkqhzS9/RdY0Hm41PuLJ1I05euNZ29ngi85PkGSUS98mOrNskZoyj71Vtv8tqkZ3HXb704ynZ9UrnvENPaF5p03UFVmQXH3a32uvSOoZP9toxi/ZPbsrZBe9p/7LERr4df5rpOX0G7Cnwd2P4Anzmz6aFWk1RzI7wHOD0aNdFL1+RHb7MLvpdSXY57+KfvI2UF8qE1S4m0H1WbF68+5kPwxs6tk+UgwKZngQ/wog8BztuHFM57yr5y7LBIv1kk9m6gcMRr/3n2ittJnvv30NvfFl+hV4HP6kTlquudWG6XIaO5/XpNsz+ukerxYTTebVZTBbuQ/tTErY1Ls2L6XFyL+YubnRm+QDnDPvEflbyv6co0j6XjlJJTaF1ug/pGLXXk+UL8HPw7xNztPQ8ad079X9v20Pn+3PsgK+KxEcWSGo5BRG+u7dHR9SdcJN6U7f6rnTiXc2rRB8mMd0C/+8enqXeQuckvO/YQBv6PuBj761KkUxvg24E3LF3vJOBCvlJ7pIfpdp0X72p3tXS3rZcQL7Ner175tx+BU0Z/T0mnNixe19cdgq4F1vLByqTfyx66fJ8ZQSLO4iP0N2Qfxta1gy8Sd9HDZWte0Ofr/mpZibR79qna7kwOifjkSKfZgUyHqjSp2POYbKvB7uHHpUNZbqF03ilhHzKg6/frhtdFsH4POx7fG5p+9UeXPXxja6tL3s+cHlNuIf2or/iM/LGecWvySfJjtROda7RILtKNFw5uDaB4SLoc+Z9Rw+eGsl0Ktg/+BDmYSQh/HJuDy7Sv+ZY4sv4P/wD9ggdDHzebcP9irP0/Anv4y4K0/Pfq25ZdjmJ8YwR20fQ0bC4yzeVuRf5s30E30VegF8mtK/oW0frqMp48cU/kemE8CusR613pONQN2bvP95KyfzwYeeFvCdfLqf51I/pfFXtvZesIbzT22NXTuBfeuEN3+/9thHvPOJl6bqBcCB3oz7XyZrp79AHoBOGHjhzqcWT1QGgL5/3FWse91eeurnBaowS3f+TsHjTELrfpUtrj10i/zXfsnRbNX2vMbVqWIoDyxvAqdANkaeA/3d8/bVxH8WVEpU5+3+l0L6+nrJ2BPmdWJHxMgPyt8Ml2W3N5I+dgQN/rj9H562a8HFCBeMHnR/enB+SYcOtnLjO2qjNjPO9VpBn02TMRWhsFwmhdecor9hwzZj45+HhGyeYs3UEfE0M/u7AcCN4J3i0yN7hmjNoX3P5cQNH+jK8K/F9zZdCij+9VB+mhTgx3ntbzl52rRvjXXMKu9K2eDI9UfYfQ2HnhnoG8Db0lZ15k4IGeDP+CT1/+l2VJRlhTE+HfxzYeaa6g/x1psLOLUkUb4ZOafxtR36xdXDbRN0e3lliIbWTnrOq96Vjj8nuZztZxmyjeR7/aZ8hT+el4hWiP4LyXcir9AuttN56++Vv7/2FK/B/2GXf63WFfnRd9obQ36O8WJ5CvQY4qyOxzzPlZBYXgaOhF7bJdJer0fl3PZy75XMI4zXAmxmaH6zNgxnuhL0g76z7UBJwO5bF2Se3LtY8cmX5BeeEPAs7RByA/o04vu2m8VQdmtewRA/l2c4M59ybKx3aSHbUPGp0/XCyn5whVzaVmtD+1Hac2iwgfhJzb2joKaaL2H/RrTlpwfzPYXbTs2M0znjUZreb7K7Ppsd5Aa7MP37XVwdG2TK9H7gn23VM52gap0ypHJPjy+IA6krQARGPfc1+L1Wh/Zrp/GBjMu2jd/tuygxkb45DJm4uY/66pKnWs/SNNbf8rqzqCy/G3xCvodvrpwy8JevO5mtVLK9d+Vd+nbpvy9TzAQzvQK/pST5zYlidCfrHdNFq2TOhjL8jPiNuIW9B70FcRxxFHAfPBF/C/2CP0I+h8yJ+QWeqPtp/y4q/9EzgoSFJbzvsw5kOqvfqja1LPONbpe7ndH6kM10H/Ad+tSzo/IZX7mzfNPdvE08kOxKe6b5hLvlX9+77ERE802eg16DOerToTyxny/CQZKK+riZd97O50jyJ7Eu919onucbMHqETQ6+CHof4X3B+vVmuPTsv8Om15BXVtD6NuvSKH5EMN0DPhA4t9vDilSp67uXit+d1tCmP3fzjJneS4r9r58jN9ByLm8vU7ziydW5VG6U9imd2i3ogdC2L05f3VNF9D3k/WBDlyeIq8irwIfgX4iZ0gqLds7b+SWA8EzwUujbqN6hfHT31bJ8f2ZvfeTsF5TAWJ5GfTYeM7JpOv3eNObvxSzDTc760PjZJIx6dn9FVeyCL1lVSXZdP/Hn+h+cWoZSXDJ40ejoms1HU69PkUzQe7iv7uYXyV1J6kdgD+hy7Kv/Ls0imW2Pe4MVaFVlvPxMO0JumbeUax+LRG60NE0r/Wu/Saq/OxQkM55n4iH6TCmYj+AL2G3kc5wLd7MLQ0W1j3Vl9FnoI/Az1ibJt9y8k0ueI+1l3Gv0ZPgB/DI2dffGTB/M32P3/yw8MxwCXQDf6MLxK/hLtS7PjPdVs2seNdeWZZeRXw2qPD7fqwXnqt8/mRjI9F89H3UcQMqxxdk99XOWrz2FfpqvhfJMWa6k7ejD9vK0gZlBfZxZnoQshniX8er75NI26zjbBa63ouWbXTuaT/11evM4wz47lxSZ/I09t2peXRqt7VwYx3ol6xsBkLvYx8YOebPEyhel7l5unzB4UzvTNYT3hN5bl6Uvz4qQGhzEeEFN6sekFXb9lh4HwySBmn7gPeBlwhObIuQ++xbD4j30GfoN/Ih8Cz0D/RL8EeLPt1xLra94s3yJug8+groc6ar+FKzye/1VH3ftEyHjbBYrXv/2jZbMJ501dk/KIeM3kcVJ3+6cz/Rdx08JujOjk6L/qFv/mF9QXcR7fjCQlut2YTgk9+1HYgoJn9ky/OPfE98kkR4brHj7NynvOM32/WPN28Bl35h/4/OdBTXyYA9PdwSORl6AfVgh1jdvkwOwaeQY4uqX/qbgDQYwXwG+Q74DbgPdHrx3rNi6Ynb+1/KoTN2mdquXiFsNPs7wPfAX+9EMqZc7Pv+p80Hvy5KLFhwUx/wVOQ/1nt15Ccp8AZifQBWbe6fDa4cTyBvLl92MzZnV6sTwB/QH1CpyXr22s/W9rpqdArwd+BO+GbqPb+XRHAK1nbSbndjeK8W/EPfBR1A0Q/xbvd3u7Iorp6tOC7sw5F8z8CHwAOFzoz74Kb5p/isHrgzzt19rlDZW2PedYaj1xoyOLl6ifoK+l39X6217ezO/xGXET+jriHEbUl4D/fYsn2XZTXJk22VBfg8b6ofUz7AkvDs5xXiBrw3gIngv8Df6MuIb+iPYzf+6oxrP+Aegw8E/EDZwP4hP29b+6zjiTqLiRUaw+D/yDPAndGbzYanHEVIkExmfB36FrQPeHrghe09dxb6mvB6svwB8/jDZ01vFiuB19V7D/d/EnDE+6sP8DV6GOOXJPbu5dwuH/yE2GFJf7Fu0qNGf1UuB/xPugOVJx7c5MDw1OnZn61YWNTpItH4/QeYx1XFlfRvH/zCuv25J2TJdF3lnhlbPjuTerx5dXWohssWN1xp0/o/0GerG8Bf9B3TsozllzPe2f61CVoqw4tq+IiwUzEhf3j2L8B31mj/sHuEjT9VpDZF59SWD/hx7oLqRWdYZ4TFzX0m/1UYyP7T2SnNNN91mmtlCpgfbRw+X7+N3eLB+iTwF57X91yn/1ZvSjgR+Ad0AfRd+YUpL3uomESxcYzxjxxYrhWjwHcQF5GrqqyF29CWZJjM9muRkl6MWx/h8jseMhfBrTWVGfg+6GugLwEn5ff+RaeCX5i53u5BVi6awu8nFAtVJuOsvH0LFQ74DeBb4PPo64vkG68d0pd4abEKct+1w5eOs048/As+ijAv9EXkBcAd9BnQF5we2e8RANN6bjA68AR6NuD7sD7gF/RZ0Z9TqbfE5ww4PlD8T9Uar5126R3+iUd/krEB/ZZa3QkG1K+Wb63OTXdI5DPg2Ql+FZfNsU/fGXoS/D19BRgdc297RZBLD1o+6BPIh6LXAMdDNcB9wKnAI+sqhRWuqjPYu/yGvQHWNdnsh50j6M9lh+56YVWw94F/gSroc+g/NDHrr5+58//G8+6JMBjjNbH9RfMoLpcJMPbxLL9WF2jjiF/AG9Azgf8Rf8BnVs6DKo/yCOIm5BfwG+gw5+4KXyiGRHxrsQN4H7nBv0WrXtGR5S2TxWIEr7aeadt/kefU5vci+UsmL9Kdgf1GsRx1bnyVvVhLEROgPyAPpb/ylP9dT9/PSDjOj7sdbhAWPCWH8V1gdcB10DfA55CfkPuBU8BvgO84e93JnntGaVF4vPqOdgn4BP2r9NEevlyvqcoctce2Lcrkbxa+QYuUt3TJmdgb9Cr4MujvwKna2ioO5heCTLz9CNW1f/yNgXynQL4A6fX78WbA9kugb6ueCf0EuRl9FXjHzhwe94kJ7C+BN4pohoi7g5xdWl3sO6FyX+1b/wr65fNDpdtZu+n9VT5v0r/uGc0b8FvAbdBv5QcFRy4YBIxmeh14GnqxafkjlEcXnJCOHvcvFMT0ffB/onvnRYXVWn69EngnoZ8Ky7sumIfR5Ml4VuDB0c8QTnjjyN+Ig6P/Dd1bSNzuedGd9BXQL5EbgZvAs6KurF6AN9O6l8ckk0yw/AxYgf2AfkbeQT1MGB45tvtwVr+TO7Ao4K1ux/eF0848OwK9Q/oXfllIYJifmwvOG90mqeWgCrlyJfg7f3rnqUFXSa9cOgn/vl5UMbzK1YHDme1ydzRY9+77eoos6Z4Rnw8vEnYzOHk50VP5De+Zvyc/i2oXbylE9zCjoKdIjP1y8dGytJ40jnL/ME9L3n5UfPU9JZPR752biyJdXqHOvfHaRdnFCbxXO/b3iJcrmEZyuqbl2hz6NWmK7Wy2T9F/nHbJ5qEK+MVBzutfQcw03QA5SrDXsQw/90nZvc4zuR4QyH4fOxr88P+YQzv1GMWZ9UTuu5I9Xww5fmN+Dk1aCnZyhvzo2WGZPC+nMzhQ0jDWKYng2cBh6OeA7cCZ6NfI66Jvq5UNdE3Qr1QfTL4Xyh7yp7fxlzLJTp5+ingK6nf+Cds3PiX7jxX387qJz5/CvZ1bMc8ZQpdB6/7rj3VaB91F6Z29lEn++81eryoXVm/zbN101h/TjAkTh3+AfyO/AK8jnsHfEc/Az1StSzEUfAA9G/gb554FHkafS9fcuOH/Onpw+uzvD3QWfWBweeib5h7BPiNPps4Gc4bxNX/TOWZF/HPq4Y9yqb4lZF03nXK3S/AhnX7iKeU4+rF00rI/4nYW+uQZ8TjoWXzLpKvOpR4tMRl2ieRpZVWmdpXwXh6ZMzGA6FDo48hjgDfjVeekr2MDqPxHmFwo/+6iMAT4Pug7o68uztlgOfAhIYP4OeBDyNc0PcQF+Z5a+xYyf+1acGe4EujDxTe1uETJ7FObyfgD6c/74vAf0Rdgz+C50E/bD/q7f96w/AibDzBScdKxSCmJ0jP24O/jRIryfOG/ZdxXmyeAQ8jD5O6P3gd6j/bxMN1hWzZ/kf7zMBp4AHuGy9W3A+lr3fg/gKnQS6BHQe4ADgR+g4sL/7E9015IKY/uiY0kPs6Tzzp3p22jF7hm4F3hQZ8mBcIOFW+cBdUR6EQwZ09568lPC5D7GrXpaMn4LHAd+jHx79tdBbYS/Qi79nJE3/5cnwJPIn8i/OHboD+vNg1/gddRK54CGfl9K+TUieenloIut/vGBvcv5YEntfQyZF0yaE/ETSe/abXhTX749pFHOj71u/P9Q5e4HFI8Qp9E9BF8W64B/HszR1vCNY3Me+g69Cj4DehvNCnxniFupWeO8H9QfwYuhcqoPCTEUo3shvfxzrfornDD5Li7wyIPve981A2ZDWb/lu9XF98jMvjXjLEzxXfX6m3wdTxlPQN5C7KmLICD9W/0L9BX0iiIfgRRkTjvNmIQzvoH8B/g+8h3MGrgMuQX0EOBt2gz5v9M2i/xn9YeJrCl9c41ldB/aJPlKDI253FnqwfnP0n0L3Q5+a/geX8kU07n+vJJROdntjq/mgrTaMpx2IvjMqyYnVFXA/fMZ9EUfAB5Bn8V7H9Vs1l+IDWV1JdKzvoekezG9RR0cfOfgN6tvQE7G/qBMhLgEXo+4IXI99Htyo3eYQxnRt4GLUieZm7jeISGPvCU0JnvlI6AyrJyIfwX8Qp6FLQA8FvkFeQJwHT8X7INh/1HVQ70VfB+Im6qDog8B7A9ArwDehb4Bfog8SvA51YOBX9Emhrwn5Cbga7w+iDxn6BOwS75f9t98L9XzoEag/tS+JE+ntwnRUvHeDfrv/fxy7n9Cap9d9PJneiveGEEfRn406MOIg+naBl9A3CvsAjwDfQH8IeDbqujLfpw1ps2B8GPUXxC25x+7Ny8i/Hw3ztZgXxfA/4hjiHvpCkL8UNW6k3khm77khnqI+inwO+wUuQ34APkafAc4HcQM8H+9Pgh+hrwL9HKgf/Vadr/YpjMVx+JXjgYqYS6FMV8P7M9CvYc+IZ8gvm0I2Zl9LY/aVEl86tTqd9Qcp/7MRrK8O+QY4F++hrsoPJiZIuPt+U7hdOnt/Df1G9yLeCnucYfUt+Gdf6zyL14msTx86CHgvRrw/AF0T9gTeq3nvbG17LOt/A6/H+sCHkDcfDG+a6nyB5Ut7TclNIrTezcq3ywrPMRwJvAecezR//27/EKbbQI+B3oA8g7gCHL9kh2fbkjjWl/df/QDvw6H/xrNr59PUNKavAvfivVfUDw+5LPjQmsR4ocyRl3wwzV/HbEm/97TO3dPstXbQOMqmXV7/HKunAq8ib6LuBh6O9aE+hOcjju7XSCvtDGf9GsgLyL/gkY0PlRZeSWB6H/g8/AvrRx3bt3nf91iypyt7HL/vvMTsDuvDeqKuiQTKZbF+ErwHi74D1OXwfv7bGceP6Tsz/ABcjRH4Fn1K0D//+14W6qjg+T59Yiz/WLL8i744vKeGfmnkWfg/8iLyEfQM9IWirxO8G3Vk9AcjjqI+gfdAwIuybn2O0Y9l9Sb0cUAfAj/5L6/0uWS9WDWI8Qj0k6APGfwR9dpVRcv0aoMYH0RdFvUExDXwR+QF+BP0MOh2qEtDb0Q/DvqSwfeBc6DXIy55me96lUy8sXnN9p0XyE6chdOPDsijc9ib8ECMxoZDsTfGZrP3gtGHDp4Ov3kbOP2F6GWah+fMFuFCigdSEtdn0nj1oVO3WgH5R1bYwhl0n87tbl3rKO5JVqe/7E3j8pu+AxfSfaqOHfzmR34p2NocZ3OG4X3XyurSzHj2HgV0kYceH2c55tD5RvRpV88nP0iv74y5wOIRdBvcD/k/4cKV/o//4r0bJRTPXE9h8wBPhV+jfxDvpwA/vXoeVzU6l/BZDwyhfRz985vCySxWLzq0/kLzpx69hlirYTR7LxT6BeIBdHy8lw/dBHEBOgviIPp88Bl4wMZgwtyxyax+Bd0F+iviEvohoJOhz1U802KnLq2nrfGpQxKdo2np54tmF1gcnPI45X6/DPaeHHg/+o2U7lVeLT7D7AO8C30YB0uFoxTIHmziuz7pltJzT6m2F5fT/Va7Se+qIR5QNCBT4wnPafRrXBtxn+f+5LU88qJxeN8U1wm15CfSuTN/36F8Ei/+UJbGrO9zxEUf0fmMntg09wH5CZ9xetgtnrt4vNYp5wb5xzWlg3fo/mVWw+Yo3qR5zRtVvIzGkZ3bWkqvEw+tbYiOonlIL8oVbb/C7Df4gfaUoKs89395fAG8AQAAAACAAADARAAAfBcAAA==eJxlm3l4TlfXxiXmMQRJQ8xjKihRKsWiVKO0FK8UjVJDW1OjUSpqiBrSVBDza4j5ixJjDM8TY5BzQhFaxBhjjDFUjInh3U++/uxeu/9kXyfPGfZe6173utfa5/gdq/Ww+i1LIjIf35v+1JLt4Z+GX3xmyce9Fvdt+cSSssFzxgTns2V5+KDea9X4KqiUT7e/LJlUo2KnxhmW3AiM3tI13ZK9mbHN/E9Y0uGX6uE+yZZEpj0uOmK/Jf4TXq/rZ1vi+8GcBc2PWXInbGvZnN8tWZIxKnTkKX2cExh6NPIPSwp+sHl84fOW7EwYcW7SdUviEmYlffbQkreDf5z3q5rX4EzPkz3z2pLfu87Ad4rbktCqpk/TorZ063+xbNJrfd4RtwlNw19Ysi9bpjxX16dlV11W94Yl1UpuuOOdaUm9GUufNVD3H99/VTu/m5acCvsjx0qzJKjTi7fC1Fhr3+S44EOW3M7sFzp7pz5ucaxIse4XLNkY38gvvxr/CFyzoPJtS0JrvN/YXdllUcDyLU3U81NaFQ4YoubzTmyr1q+V3U4Etc+4W8iWRx1DNy0vYEultMlRw17p+a4OvDbA4WaLxzzfkR8XtGVqVpNlJd30edz3zyTXgvTxhVaZHZZl6bHMsTanHzyy5GbShe477lpiJzqiCzyw3vjtauTWZ2Xy2G9G7lOi5OHjV5X/q897PWNsjiVjEo5E3ypsy4SwtrOfqPk2nXdlzeb7lrxM2ht2/7Il5wLau59Q/g7pdLFhnPLfVyU/b7olxZJjCd0fO89q+zIv/Mhz/pM+LbTHA72OM4UO3MnOb8u3ge/7+Naw5cOIFjG12tmyMe+NqbXvJovLy6PPJslIhYrA6J0yadui9sP+45S1PZvX2vWdQyJ+KlzWt5dDirat8YP7AnU8071o70MOGT3hwIineZyyoueGW61aOeVW75dL9v/klO/jhm98laqOazYoFO+bKC7vx3ZPlJY5MVUbxidKzxqf+x59kSjXPArEjvaw5Wv/BUc/VXZ4t1diu2LuelyWVW5Hm8eW5C0cVanvPUvmZp5WK9Hrw7/E0ZCwvuH7PG3xSs+ouru0LZ+tGuCxRd0HXBdJWxHavIgt67K/GJKs/O5CTVx+/Tv+qO/91+L56rltvE9sP6zi963CQ5SLLMnMzr+jzzlLuhy7WyP6uMbpw1apA04q/Bc66F4zVM3vWeR8z3aPtL+5//6IGf691Xx2J3nX7KKeC35Z77D4X899o3DDetJTmj0sqK6bmbAxrsIrzSP42cUSRe5rXP46+EbObwqHh8MbzC59V+P5ilv/LusfaBz8nD23aYiXLR/FJ8flecuWL+JXJzUqZkur/i9yphbVcYQdXVb1qG1L3cxvp+ypaUvy9AYj61axZWVksbU/VrPlRYUo9zFVbbnTLbXd/fK2bCj0avvMCrY8CSn14juFt+7Zx/I/rmuLy9vzfG2ptWrpufblbPkm4bZiKFvmZ4/qEqP8wvxep/bZvTOPPp4V6PbJxOL6vFyzeet5HZ8b5rf+bVuuz+3W+kpFW2rmGkbzFvcp511iYj83zRf8n/U+PrW3W2Fll2luZ+5cqGSLBP6QkdDMlp1zZ3iEN1bzyucixmSZNXXRpOZ398pvU74ZXnDTDql05ot3U0s55bqyVoKKk67lGiSk9nXIurJDpoUtdMiAp9f6LDvlkKhZOcpSTrmc8EPoxiZOSR5epdu4iU6J3XquXqM0p7yqWabqpZKJkrd1N5UqEmX6Kg9FATrui7nXmeJ1xpLziQvjAq9ZsjnxpItZ38z/7PQyMX2UPTv7b99STsXB4sSH3WMLat6bErBnQV6Fq8CKAZ18lF1GZnWdcr6Yjgf4fFegPT7zseZZ8HgrqN7rKi/1MbhWySX90j/yBPdn/Ml/zM0J2Rq/xDFx3SO24MivFV6ZB3HC/MFhcGb9HbUUXzjcllRqW+jf6wLvxGGjtG9XrlLrgV+Ja/jD7+/8DJ+3S+uw+4zi1e9ib89YePnf8/uy1/gxw1U++jC2ekjAcz3C/2aegL/IN9itz+AqyrQa58Q9/MP4/zxpSVZKpWLNlN18ZuxKf/mX9tOg/vvqP1bP4z7EyXOPW9s35NX5jXyEnfAX8fh52Pje01TcNPc/seC6iltn5P0D8Sq+LnaMnjfUU/PDwZTup/8sYcv3AefHp3ro56yPWOfpr/4/KOh831ut9f8Ty7gWfEAGDjzT48vqe//2Q6LEbdrl9SjdIQ1CIk9W6uOQpuNKFykV6pB8waPc+8Q55Hy/rj7WBYdMXt9maXZBpzxRamfbh04JCS0wbs98p5TtPLbz3T+dMjl+6ONFjzTfno5wGc6SGIWe7cpvvdLqny5+To91C3fq8rvSRcN79Z23Ol3z9qfzkg9cv6qPozJcRGKJFfDNzSWXLBmYPixq2jXNo+AMP5j8iw4KX+Xf2lfhcFvWyxM/KpyVbveoYVSG1l+5P6vn9Kv4/OeIG3pk/uR1/PzULWjIlWs671wOL7P+I4XT7t7bj+dR61k6+FDZ9AyNV+bHfdAD6A/4kDzC+oibEYPzXfnhpeYZ8g5xDa64zzwXDedo3cZ8sS92keCem/ao8W5Et94pt/X52IW4BPfxYcVSev1jfrluVHwCDslHQQFen3xdS+cl16q+L6XjDr+ZcQovYWeeR7zjJ3hlYfxnHsdvan0AT7hQVe601rn4H1xwf7d0d3WFLUoc9ej3vi22UkeeSy3xzr1w/9843i0u9T8tNFFixroUvEMUyf/5zk8OKTd5eqRfjENWDL/15Uylw069eNb+12yH1L0nDSsEOuWjmK2TO492vuEP+BR+OFDo8nGrlNb55FVGdBP8hZ7YFDDp6CDlt5bpa7vVfKHths7BDuQt7LGghpuiAG1H7AYeqYvQZ+iC3xTrVCql+SdXfirev506VrlY8xh5DF7NE7y5b7WSWgeQp/id+1XOJQadV+Cx+9OfrpmjzkMfNlv18+NxJfR5zJM6jnxJnUL9ho5/Ev7UHn3Skq7BLX7PuqRxTHy6VIbHPY0v6grsT97CzvfUrOpn62NwTZ7NN+PsgYMqbtGN2Bf84T/syfqo97AbdSnrg1c4Ju8wP34HB9QpLrZocVXnYeKHEXuBl0T/mo0rpWneRQejL4tu/b9Rtp+qF+8+SOsXvU821xu6wm3nLrGiynXY/8Ap7446NDAx1iGrygwf3U7psM6ty48vHumQgPL9ZsYkOOR4s/Efjn3peMMP6Ax4Dp2DzgAvOS7ZrHTIydSFUV2Vbp4TtHzeZ/62JCnVOCXAllFuT47/VseWJSmzVg5SOnnj9E9DnqvfFxQqH9vLzxbLa4Lv7HdsORzSPqVgc1smFXpv4tvv2jJbsfNtX12/kHfBH7ijXkD3oNfBdXR4ZNuRCveup/1eUscJ55O/4X90CfFu2gFdwu/wPPU0vIL+5Pw6uQ7Tdvoqa9iQ1W/pY+q+yESPlgOVPZXz8nuW0bqceZFPwDW4o/8A/ogD/MbzmRc4Jh7QC8QbeZR8RN/C1IfkUfiQY+KVvEi8gX/iAvyTD8n36A10CfxJ/kSXkifJ83P6R/YNOa+vJ57gzb2pjtDK1W1pk5uAkkVNYlvRI6rO372kXP0LO2V4bmHulPuvftzQ478OKT/hasOhAx3S6OGo5C7THW94CrvBK/gf/YsdsJOZJ+lrjKp4fvHWc3rerBd9RF3Aunk+8UCcgCfqHPgf3oIfwQ/6nLyDPYv/MlohS88bP6EvqGfIB+CI56DTwSv5Fh3K88EtegP8ckwcMRIH4Jh81mFwi/XF/1HfoX+YD/VsLnyf6PzK84gTcE5fjr4g/gBPxAF5Cvzxf+yFn/kde4JT8gP5kWPsS5yybvoSVTJqnWyh6pFLpy40O6n0XVhuYrBlS8oIhWBbGtSYebN/Ga0DuJ7+CvwI/+Ev+kbE6SdZ07oMr67vW1mpzor1kqXs1I9v52uUJO3V31KNd8riJVfeezDQKfvKdlodp+IDfoZ34EfsTryY/Uaej59MvkVfEGfcl7oKe1HPgW/iiPvyfHCIXgdX5A1wRJyhD8k79Oewn1mvoj+YB/hHv8PfxAd4xE/kWfIfeQz/Mm+z39k741jVc8/1erEveQG7k/e4P3mcuGI96Fvwjr4z+8jghjyCfqNeoF9I3dkwdwL6mDoHfUdcUt9jR/IKdQR5Cj5tPeNnzwFndT3Ic5PUrzOvap5jHWb9hv6HV/z7+1z53FvHHf00+Na3xoajDSorvZdd5I+pH+r6IPor56qTMw7I/G9zgrst2CstV17cXWLRjjf7FrnmOWrJt8GuO+t10MeCR6g7qZewK/PHTtTp2BGeoa7EXvANeEBH4jf8ip2xPzgDv+CP+INniQ/4Fx5CR5EvsDv4Rz/QZ8IO1OEdK3oN/CRLz4vrwSX9AeYLj6Lf0Vn4FV5k/fAHeZM4of5jXeAE3Qle4AvqSXiW+p78gp/Is/gRO3Bf4hy7sp+EX6mjGNf0HzQm5pgls9Ob7H5y2JJferXddP4PHQf0eeibEnf0c9AZxAf9E/QBuoMRHIAX+B39gz2xF3YkX8V4hDde28J+E6/+Jb4e+27BA2/8DH/C1xyDf+aLXcmv8Dp6h34NOEDn0/9AX1D/sS54i3WRj5gH+IDHGTmP68Ajeod5E4/gm/zA+eQD4oW8As7AszL2gIXldX4Cd+CJ+2M38EcdSf1Nf4Z6k31W9eO9+AtaD4Ejb1fZ9qfmMXBI/FInwGvwMDoKf7E+8i95D/vSzwSXPPd+/IURy5yWNPjgxy3DDljyXsmZ+Ttc0nUz61ybuaPqs4sat/AGdT98SX4hHuE7+JX5wJv0CbA7+RldBb7QCRyzrwXvwJPcF10Df8Gf1NHe/RunVK9mS7GMNjuK+On+NPsc5kj+on+EneEz5k1djA6g/wEfoYtYL/U0Oo99CkbqBewNrvELugJcsv9APUicoYvRNWafh/PxL88B9+DbfB5xil2wI3md9WMv/MLzWTd8R/zSV8O/5CtwD44ZzX1cRvqDxGGFgxmy8qLOi+gM6lDmgf5l/xH/06/hd/iYfAfO6Gug59Cj8DB24D7EAevlOfA/djbf44C38Qd5hnwJP6BLwCFxxLyo+9i3+W/EoWdPfTTeJ0bcSN9fw5YdrrZKLb3fz36rma/JD+gt5ond8QfzY/6cD88xch0jfEhdaOoWjtGr9N05n7xE/5CReZBnwAf5z4wb8h36Ar1P/OJ/1oleIT+yD4oOhKep37meOCF+WR91GfMCJ8wfnYMdyZfoA/IE+YO+O/6ir0L9jr4kHtHB1C+sB54DvxwzP/QC/Af+4XHuY+4XoMPRq+AaP5OP4UuzX8z53I9jeJO4gucYzX039Bb8UsW9xLKPj+j8Dj55LjxKPWnGOX1L9DTxaPIG/jH3e7Gfmf/Jo2Z/CZ6ibsUP1LPcF73E88k72Asc0Jcjvqi3sB/6GfxzHtcTd+AVHb4l44uotYcsmRh7ZE3qSe1f5gHPm30j/MSIPof/wTM4J+8Qf/CDu0s+puu+Kvxi9vGxJ/s82BG7woucb9Y/7BehC7gef1HH4Bfz/Tn8gR4D9/iBvIYeMPdt8S/noQPoB9BnAPfwN88xeYF+D/13dBJ6gPcuivZ6VHalj86f6C3siR2wC7/TXyH/sC9yzKPaxI/K6/uRX+mnkXfhb3gQXmU92Amehmc5n+uJY7OPAK/Ad9Q15AXsBT+AY3Q0/Xtwh+6hfsXP8D7+J28QR577VkRXO6XrkUtZ+12WfONH9D78Bj+hr8EXz0GPsk50E3nQtAt9M84jbrEn+o38BP/yOyP8vnXwuvqeZ/V60KXUS5xPXsJ/5CHqCOZj9ifACXmXPAou4CnyB/c1dS51CHyNv+Ep7GD2wdF3/B97EI/wErxFfJJveA+EY/IT9Sb2AT/wGP0nRuwB35BH6NOQp8jP4Jp5o3foa3A9/Ac+sCd5wtR32Am+gp9N3ofP4XvsBu/DX+Cf37ED8zR1OXmTvhvrRq+he4hvdAfxwP/hVebPedyfOCFf8B6i+X4AvIo+QD/Q12ffEz/hT9PPzJs4Jx7I99SzPBd9QR5Dr3Ae/Ez9y/n0T+gnEVfUm+Qn8iHzwn74HbzDj+wLEZfgxOxfwV/wO/7Fn6zDfA8UHsM/xDnrIm+b9wMX5A9wxfU8j/MZyb/kY3gc/MC75n4pdqRPRLzTn6ydS7Aa79Q5xA16hnWgQ/YEffO7s4zet2LfjPf3PnC1dcrpfEsfjfy8JmjSpkmVdf3cMP5K9OFqttT2/2v8Zj/9HhX7b7x/wX4Z+wHgjX4A9RV+xQ/wCsf4Df2AfmJ+hzquGRNYUb+vzPu5PA9+Apf4z3zPlLwJv6NvTT2MvjT7vPjXxD/6hTqavIJeZ53EG3GIHsKO9DXhk1IVh/hu8vr3+zj43dRH8Dr24Hf4HP4nb7KfDY+QP8z3PeBD8jTxTB5A/9DP4DzqQuwETxNHPBd/gy/e53axz9kAWxZOH9Q6+T1b4hXLdBZbVPAsONjEltzXqRvZMiPSL6ZNfb1PBT7hOeyHXcAj9oQ36QPiT/iDedM3wE68N4T+ZYT3wSfrpd4AB9wHvBAHjOAJniOu8Iv5vQS8A47Jr/AufQjyNvHAdeCc/gl4gt8Z8S98ZO5LcEx9h75F95H/2Rck/5kj+IFf0XfodOYJvtCP5C2u5zz0K/19+uTgGbugt/9KHJs09LT+zoN9S96XoD419T1+wn/05cALdjXf4yZ/kg/xO7oBfQGu+Z04AlfoDeou6rcmg3vOPlNZ70fB9/A/dRnvC8FT8Cn9DdZFfIBD1o3dzXoVXsFfxAX2wE/gGb2P7gBf1FXs9xUdffbyhoP6+zHXLrTD1t/HoSPR09iZ/ABuTL4kPtF7zJ84YL/KjHv8DI6JZ/pA5BVwQ1wSp+gm6knqJuo/8Mn/6ZcSz8Qn9T35jn4cuOX9K+o0nkv9wv045r7Ml3oAOzJiF+ps5kfcorvMfSmOwY/5fh/4AGfcDzxhZzP+4Hf0BH0MvnfgfTL8Rj4ifqgjyJv0Q8EDeQE8g1vqQ+zPvg59CfQguIYP4E3+jx3N93vgeexEHMFD6Fd0ISM4Zb7s+8FD9CfwM/4z+3boJ3BC3xQdwDHrhH/BLfdjXfQz0Ffka/QO+8DwIP5CJ+En6ibqCOoN8pBZZ8PnzId+ELyFfoDvzH0h8MZzqU/gfXQefApeuA78gi/8iG6EL8zvfeAp/Ix9qOPM743QMfA4cQWesRf6l3jmPPiM/MK+E7iivqAeOOfl2rjV+pZ8g85lX6pLQsEeEVV0nUKcsi/JPiX2JD7Ra+hY8iG6i5H3YOEB8IQ/8Rf2o65nfdRD5E3PVbuUBfXId4LkV+aF3iM/Y0dwYuprM8+Af+5D3Jr9A9bFeuE3/MF9uA7/UTdyHjqA71LQ0/wfHYJeJW+a76+xPvQ1zyefgj9wCo8TT6yD+Mav+Ascsn7wAd4qxL8Om19f4w5csZ5fWrmQrutg6kryOOuAd6lv4F1zvwJeYaT/aX6XRR+eOp/vOMm/6EveU6JfSJ4l/uF7+AIex+74x6y78Qc4xx/oGc6n/qF+hT/wF3nWrCvJz+Z38/A6+gEdT3+E+cOL+AFegx/JC8QTOpG6nH4S9Qd9FvQ9/G7qK3iJ/XTwz3cdjHz3TLyjG8g/XMf3HfVyCUOPUSkbo5o01Pvy8B7frYFD9mH4fhq9jx6BF+mLjFNVyrba+vtqeAk+oq7mfvAI+Qi+ou/APKgniAfyK7hAP5l9It7XgYfo18A/4JR4hw+o28z8x3ngkvnznoepu+E1s95mJA7Iy/TJ4IetHe2+Bd625XJIvSvvN9D2hAfJX/ASeDXfqwEf+Jd8Bx6q5RKo0l/VC0TMaW1L9kP3zBVdFL9lt1EZQeXlfmt6d+2sxxN1XAtWcZYrIG05cm3hkKEdbCnpeq0wWOnfkEmzl3S1ZZHXzpt1gmzxCUvzfNhK3//ZoM1tm7fR45VrY6csb2nLJq8l7r3VPAYm/bp7QiON39K5Lyja8j8Xu9a2AQAAAACAAADkbAAAaRgAAA==eJxN1H9oxXtdx3EZFyfVwpgVg+6gsRQXybAY1SnPWbcYZiNZBItkaBgnaRIubi2jw7J2kru6rB9m5OpGCvOPK1yYhFfywIX8Q+HGjLiQkpQNNC5laOCNieQT9ny9vvvr8cf4fM/7/eHz/NDz94vn33g2edk3/z78sbv46Q8+Hz/z5N/FH/2tp+Jn3/7e+N1P/VL8nsd/KH7iTS+PX/3YM5/Q7/z8az7R/5mP9Jvf9cYf1+//tufix5759jfo0Wd/LH79I78af+f7/zD+jqc/GK889/H4FS98Jn7kxS/F3/wb69kT3xp//VXfPe6MG/FLr31d/Bsf/ZH4q2/4qfhdn3pz/OWfe8u4s0/jF3/l1+N3fHU2OOd83BkvBmdexs88+eeD86/i16397eBb1/HTH/zI4Ls38dbrnh38hkX84Y/9Q/zF3/l0/OrHbuNffsUL8Yee/1z8H3/y7/HG4Rfjtz36X/FTX/hK/Pnrl+JH3/mNwSxLE/2P949MOtdyvPLct0w640r8M/NXTjrvavzEm75r0tnX4k+98nsm3cN6/IoXvnfSnWzGex94zaT72Yrnb/2BSXe1HX/y+35w0r3txI+8+MOT7nAUP/bMGybd5278nsd/ctLd7sXP/ehPT7rn/fibr2rSnR/E40/+/KT7P4xnT/xi/Og7j+JP/Ozb4re8/u3x1181jT/wtXfEo88ex5/9+1+L3/3USbz2nsfjZ99+Gh/u/Xb80mtngzs9G+zqfnH78d99uJe7mHZp2qVpl6ZdmnZp2qVpl6Zdmnb1f+YjTbs07dK0S9MuTbs07dK0S9MuTbs07dJcpaZdmnZ1xo2YdmnapWmXpl2adnX2aUy7NO3qOefjzngxOPMypl09/yqmXf3WdUy7+t2bmHb1Nyxi2qVpV+/xNqZdmnZp2qVpl6ZdmnZp2qVpV2dZmmja1bmWY9rVGVdi2tV5V2Pa1dnXYtrVPazHtKs72YxpV/ezFdOu7mo7pl3d205Mu7rDUUy7us/dmHZ1t3sx7eqe92Pa1Z0fxLSr+z+MaVfv4iimXZp29Y1MY9rVd3oc066+o5OYdrUnpzHt6lubDe70bLCr+8U/ff/vPdzLXUy7NO3StEvTLk27NO3StEvTLk27+j/zkaZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZprlLTLk27OuNGTLs07dK0S9MuTbs6+zSmXZp29ZzzcWe8GJx5GdOunn8V065+6zqmXf3uTUy7+hsWMe3StKv3eBvTLk27NO3StEvTLk27NO3StKuzLE007epcyzHt6owrMe3qvKsx7ersazHt6h7WY9rVnWzGtKv72YppV3e1HdOu7m0npl3d4SimXd3nbky7utu9mHZ1z/sx7erOD2La1f0fxrSrd3EU0y5Nu/pGpjHt6js9jmlX39FJTLvak9OYdvWtzQZ3ejbY1f3in69+/+Fe7mLapWmXpl2admnapWmXpl2admna1f+ZjzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRLc5Wadmna1Rk3YtqlaZemXZp2adrV2acx7dK0q+ecjzvjxeDMy5h29fyrmHb1W9cx7ep3b2La1d+wiGmXpl29x9uYdmnapWmXpl2admnapWmXpl2dZWmiaVfnWo5pV2dciWlX512NaVdnX4tpV/ewHtOu7mQzpl3dz1ZMu7qr7Zh2dW87Me3qDkcx7eo+d2Pa1d3uxbSre96PaVd3fhDTru7/MKZdvYujmHZp2tU3Mo1pV9/pcUy7+o5OYtrVnpzGtKtvbTa407PBru4XL6zMH+7lLqZdmnZp2qVpl6ZdmnZp2qVpl6Zd/Z/5SNMuTbs07dK0S9MuTbs07dK0S9MuTbs0V6lpl6ZdnXEjpl2admnapWmXpl2dfRrTLk27es75uDNeDM68jGlXz7+KaVe/dR3Trn73JqZd/Q2LmHZp2tV7vI1pl6ZdmnZp2qVpl6ZdmnZp2tVZliaadnWu5Zh2dcaVmHZ13tWYdnX2tZh2dQ/rMe3qTjZj2tX9bMW0q7vajmlX97YT067ucBTTru5zN6Zd3e1eTLu65/2YdnXnBzHt6v4PY9rVuziKaZemXX0j05h29Z0ex7Sr7+gkpl3tyWlMu/rWZoM7PRvs6n7xL7M/eLiXu5h2adqlaZemXZp2adqlaZemXZp29X/mI027NO3StEvTLk27NO3StEvTLk27NO3SXKWmXZp2dcaNmHZp2qVpl6ZdmnZ19mlMuzTt6jnn4854MTjzMqZdPf8qpl391nVMu/rdm5h29TcsYtqlaVfv8TamXZp2adqlaZemXZp2adqlaVdnWZpo2tW5lmPa1RlXYtrVeVdj2tXZ12La1T2sx7SrO9mMaVf3sxXTru5qO6Zd3dtOTLu6w1FMu7rP3Zh2dbd7Me3qnvdj2tWdH8S0q/s/jGlX7+Iopl2advWNTGPa1Xd6HNOuvqOTmHa1J6cx7epbmw3u9Gywq/vF57783od7uYtpl6ZdmnZp2qVpl6ZdmnZp2qVpV/9nPtK0S9MuTbs07dK0S9MuTbs07dK0S9MuzVVq2qVpV2fciGmXpl2admnapWlXZ5/GtEvTrp5zPu6MF4MzL2Pa1fOvYtrVb13HtKvfvYlpV3/DIqZdmnb1Hm9j2qVpl6ZdmnZp2qVpl6ZdmnZ1lqWJpl2dazmmXZ1xJaZdnXc1pl2dfS2mXd3Deky7upPNmHZ1P1sx7equtmPa1b3txLSrOxzFtKv73I1pV3e7F9Ou7nk/pl3d+UFMu7r/w5h29S6OYtqlaVffyDSmXX2nxzHt6js6iWlXe3Ia066+tdngTs8Gu7pf/Otbn3i4l7uYdmnapWmXpl2admnapWmXpl2advV/5iNNuzTt0rRL0y5NuzTt0rRL0y5NuzTt0lylpl2adnXGjZh2adqlaZemXZp2dfZpTLs07eo55+POeDE48zKmXT3/KqZd/dZ1TLv63ZuYdvU3LGLapWlX7/E2pl2admnapWmXpl2admnapWlXZ1maaNrVuZZj2tUZV2La1XlXY9rV2ddi2tU9rMe0qzvZjGlX97MV067uajumXd3bTky7usNRTLu6z92YdnW3ezHt6p73Y9rVnR/EtKv7P4xpV+/iKKZdmnb1jUxj2tV3ehzTrr6jk5h2tSenMe3qW5sN7vRssKv7xb995uLhXu5i2qVpl6ZdmnZp2qVpl6ZdmnZp2tX/mY807dK0S9MuTbs07dK0S9MuTbs07dK0S3OVmnZp2tUZN2LapWmXpl2admna1dmnMe3StKvnnI8748XgzMuYdvX8q5h29VvXMe3qd29i2tXfsIhpl6ZdvcfbmHZp2qVpl6ZdmnZp2qVpl6ZdnWVpomlX51qOaVdnXIlpV+ddjWlXZ1+LaVf3sB7Tru5kM6Zd3c9WTLu6q+2YdnVvOzHt6g5HMe3qPndj2tXd7sW0q3vej2lXd34Q067u/zCmXb2Lo5h2adrVNzKNaVff6XFMu/qOTmLa1Z6cxrSrb202uNOzwa7uF1/4iT96uJe7mHZp2qVpl6ZdmnZp2qVpl6Zdmnb1f+YjTbs07dK0S9MuTbs07dK0S9MuTbs07dJcpaZdmnZ1xo2YdmnapWmXpl2adnX2aUy7NO3qOefjzngxOPMypl09/yqmXf3WdUy7+t2bmHb1Nyxi2qVpV+/xNqZdmnZp2qVpl6ZdmnZp2qVpV2dZmmja1bmWY9rVGVdi2tV5V2Pa1dnXYtrVPazHtKs72YxpV/ezFdOu7mo7pl3d205Mu7rDUUy7us/dmHZ1t3sx7eqe92Pa1Z0fxLSr+z+MaVfv4iimXZp29Y1MY9rVd3oc066+o5OYdrUnpzHt6lubDe70bLCr+8XdzZMP93IX0y5NuzTt0rRL0y5NuzTt0rRL067+z3ykaZemXZp2adqlaZemXZp2adqlaZemXZqr1LRL067OuBHTLk27NO3StEvTrs4+jWmXpl0953zcGS8GZ17GtKvnX8W0q9+6jmlXv3sT067+hkVMuzTt6j3exrRL0y5NuzTt0rRL0y5NuzTt6ixLE027OtdyTLs640pMuzrvaky7OvtaTLu6h/WYdnUnmzHt6n62YtrVXW3HtKt724lpV3c4imlX97kb067udi+mXd3zfky7uvODmHZ1/4cx7epdHMW0S9OuvpFpTLv6To9j2tV3dBLTrvbkNKZdfWuzwZ2eDXZ1v/ji5uXDvdzFtEvTLk27NO3StEvTLk27NO3StKv/Mx9p2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl+YqNe3StKszbsS0S9MuTbs07dK0q7NPY9qlaVfPOR93xovBmZcx7er5VzHt6reuY9rV797EtKu/YRHTLk27eo+3Me3StEvTLk27NO3StEvTLk27OsvSRNOuzrUc067OuBLTrs67GtOuzr4W067uYT2mXd3JZky7up+tmHZ1V9sx7eredmLa1R2OYtrVfe7GtKu73YtpV/e8H9Ou7vwgpl3d/2FMu3oXRzHt0rSrb2Qa066+0+OYdvUdncS0qz05jWlX39pscKdng13dL/7zfX/8cC93Me3StEvTLk27NO3StEvTLk27NO3q/8xHmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qW5Sk27NO3qjBsx7dK0S9MuTbs07ers05h2adrVc87HnfFicOZlTLt6/lVMu/qt65h29bs3Me3qb1jEtEvTrt7jbUy7NO3StEvTLk27NO3StEvTrs6yNNG0q3Mtx7SrM67EtKvzrsa0q7OvxbSre1iPaVd3shnTru5nK6Zd3dV2TLu6t52YdnWHo5h2dZ+7Me3qbvdi2tU978e0qzs/iGlX938Y067exVFMuzTt6huZxrSr7/Q4pl19Rycx7WpPTmPa1bc2G9zp2WBX94sXX/6nD/dyF9MuTbs07dK0S9MuTbs07dK0S9Ou/s98pGmXpl2admnapWmXpl2admnapWmXpl2aq9S0S9OuzrgR0y5NuzTt0rRL067OPo1pl6ZdPed83BkvBmdexrSr51/FtKvfuo5pV797E9Ou/oZFTLs07eo93sa0S9MuTbs07dK0S9MuTbs07eosSxNNuzrXcky7OuNKTLs672pMuzr7Wky7uof1mHZ1J5sx7ep+tmLa1V1tx7Sre9uJaVd3OIppV/e5G9Ou7nYvpl3d835Mu7rzg5h2df+HMe3qXRzFtEvTrr6RaUy7+k6PY9rVd3QS06725DSmXX1rs8Gdng12db/479/8s4d7uYtpl6ZdmnZp2qVpl6ZdmnZp2qVpV/9nPtK0S9MuTbs07dK0S9MuTbs07dK0S9MuzVVq2qVpV2fciGmXpl2admnapWlXZ5/GtEvTrp5zPu6MF4MzL2Pa1fOvYtrVb13HtKvfvYlpV3/DIqZdmnb1Hm9j2qVpl6ZdmnZp2qVpl6ZdmnZ1lqWJpl2dazmmXZ1xJaZdnXc1pl2dfS2mXd3Deky7upPNmHZ1P1sx7equtmPa1b3txLSrOxzFtKv73I1pV3e7F9Ou7nk/pl3d+UFMu7r/w5h29S6OYtqlaVffyDSmXX2nxzHt6js6iWlXe3Ia066+tdngTs8Gu7pf/M+X3vdwL3cx7dK0S9MuTbs07dK0S9MuTbs07er/zEeadmnapWmXpl2admnapWmXpl2admnapblKTbs07eqMGzHt0rRL0y5NuzTt6uzTmHZp2tVzzsed8WJw5mVMu3r+VUy7+q3rmHb1uzcx7epvWMS0S9Ou3uNtTLs07dK0S9MuTbs07dK0S9OuzrI00bSrcy3HtKszrsS0q/OuxrSrs6/FtKt7WI9pV3eyGdOu7mcrpl3d1XZMu7q3nZh2dYejmHZ1n7sx7epu92La1T3vx7SrOz+IaVf3fxjTrt7FUUy7NO3qG5nGtKvv9DimXX1HJzHtak9OY9rVtzYb3OnZYFf3i6/8wvsf7uUupl2admnapWmXpl2admnapWmXpl39n/lI0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzRXqWmXpl2dcSOmXZp2adqlaZemXZ19GtMuTbt6zvm4M14MzryMaVfPv4ppV791HdOufvcmpl39DYuYdmna1Xu8jWmXpl2admnapWmXpl2admna1VmWJpp2da7lmHZ1xpWYdnXe1Zh2dfa1mHZ1D+sx7epONmPa1f1sxbSru9qOaVf3thPTru5wFNOu7nM3pl3d7V5Mu7rn/Zh2decHMe3q/g9j2tW7OIppl6ZdfSPTmHb1nR7HtKvv6CSmXe3JaUy7+tZmgzs9G+zqfvG/n/6Lh3u5i2mXpl2admnapWmXpl2admnapWlX/2c+0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y7NVWrapWlXZ9yIaZemXZp2adqlaVdnn8a0S9OunnM+7owXgzMvY9rV869i2tVvXce0q9+9iWlXf8Mipl2advUeb2PapWmXpl2admnapWmXpl2adnWWpYmmXZ1rOaZdnXElpl2ddzWmXZ19LaZd3cN6TLu6k82YdnU/WzHt6q62Y9rVve3EtKs7HMW0q/vcjWlXd7sX067ueT+mXd35QUy7uv/DmHb1Lo5i2qVpV9/INKZdfafHMe3qOzqJaVd7chrTrr612eBOzwa7ul98bfSXD/dyF9MuTbs07dK0S9MuTbs07dK0S9Ou/s98pGmXpl2admnapWmXpl2admnapWmXpl2aq9S0S9OuzrgR0y5NuzTt0rRL067OPo1pl6ZdPed83BkvBmdexrSr51/FtKvfuo5pV797E9Ou/oZFTLs07eo93sa0S9MuTbs07dK0S9MuTbs07eosSxNNuzrXcky7OuNKTLs672pMuzr7Wky7uof1mHZ1J5sx7ep+tmLa1V1tx7Sre9uJaVd3OIppV/e5G9Ou7nYvpl3d835Mu7rzg5h2df+HMe3qXRzFtEvTrr6RaUy7+k6PY9rVd3QS06725DSmXX1rs8Gdng12db/4v6c/8HAvdzHt0rRL0y5NuzTt0rRL0y5NuzTt6v/MR5p2adqlaZemXZp2adqlaZemXZp2adqluUpNuzTt6owbMe3StEvTLk27NO3q7NOYdmna1XPOx53xYnDmZUy7ev5VTLv6reuYdvW7NzHt6m9YxLRL067e421MuzTt0rRL0y5NuzTt0rRL067OsjTRtKtzLce0qzOuxLSr867GtKuzr8W0q3tYj2lXd7IZ067uZyumXd3Vdky7uredmHZ1h6OYdnWfuzHt6m73YtrVPe/HtKs7P4hpV/d/GNOu3sVRTLs07eobmca0q+/0OKZdfUcnMe1qT05j2tW3Nhvc6dlgV/eL+0f/6uFe7mLapWmXpl2admnapWmXpl2admna1f+ZjzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRLc5Wadmna1Rk3YtqlaZemXZp2adrV2acx7dK0q+ecjzvjxeDMy5h29fyrmHb1W9cx7ep3b2La1d+wiGmXpl29x9uYdmnapWmXpl2admnapWmXpl2dZWmiaVfnWo5pV2dciWlX512NaVdnX4tpV/ewHtOu7mQzpl3dz1ZMu7qr7Zh2dW87Me3qDkcx7eo+d2Pa1d3uxbSre96PaVd3fhDTru7/MKZdvYujmHZp2tU3Mo1pV9/pcUy7+o5OYtrVnpzGtKtvbTa407PBru4X33jyrx/u5S6mXZp2adqlaZemXZp2adqlaZemXf2f+UjTLk27NO3StEvTLk27NO3StEvTLk27NFepaZemXZ1xI6ZdmnZp2qVpl6ZdnX0a0y5Nu3rO+bgzXgzOvIxpV8+/imlXv3Ud065+9yamXf0Ni5h2adrVe7yNaZemXZp2adqlaZemXZp2adrVWZYmmnZ1ruWYdnXGlZh2dd7VmHZ19rWYdnUP6zHt6k42Y9rV/WzFtKu72o5pV/e2E9Ou7nAU067uczemXd3tXky7uuf9mHZ15wcx7er+D2Pa1bs4immXpl19I9OYdvWdHse0q+/oJKZd7clpTLv61maDOz0b7Op+8bKX/c3DvdzFtEvTLk27NO3StEvTLk27NO3StKv/Mx9p2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl+YqNe3StKszbsS0S9MuTbs07dK0q7NPY9qlaVfPOR93xovBmZcx7er5VzHt6reuY9rV797EtKu/YRHTLk27eo+3Me3StEvTLk27NO3StEvTLk27OsvSRNOuzrUc067OuBLTrs67GtOuzr4W067uYT2mXd3JZky7up+tmHZ1V9sx7eredmLa1R2OYtrVfe7GtKu73YtpV/e8H9Ou7vwgpl3d/2FMu3oXRzHt0rSrb2Qa066+0+OYdvUdncS0qz05jWlX39ospl36/wHp+LtsAwAAAACAAAAAEwAAohUAAJoVAABvAwAAeJxd3dUTQFXZRnFP0N3d3d3d3d3dqYAgJYLSoXR3l9LdCkooqXQrLSkd38V3fhfvc26emTXrH1h75uz9s5/9/9cMu+OwOwRvh90pPLwbdufw8H7YXcLDRxh21/DwEYfdLTx8pGF3Dw8fedg9wsNHGXbP8PBRh90rPHy0YfcODx992J+Hh48x7C/Cw8ccdp/w8LGG3Tc8fOxh9wsPH2fYX4aHjzvs/uHh4w17QHj4+MP+Kjx8gmEPDA+fcNiDwsMnGvbg8PCJhz0kPHySYQ8ND5902F+Hh0827GHh4ZMP+5vw8CmGPTw8fMphjwgPn2rY34aHTz3s78LDpxn2yPDwaYc9Kjx8umGPDg+ffthjwsNnGPbY8PAZhz0uPHymYY8PD5952BPCw2cZ9sTw8FmHPSk8fLZhfx8ePvuwfwgPn2PYk8PD5xz2lPDwuYY9NTx87mFPCw+fZ9jTw8PnHfaM8PD5hj0zPHz+Yc8KD19g2LPDwxcc9pzw8IWGPTc8fOFhzwsPX2TY88PDFx32gvDwxYa9MDx88WEvCg9fYtiLw8OXHPaS8PClhr00PHzpYS8LD19m2MvDw5cd9orw8OWGvTI8fPlhrwoPX2HYq8PDVxz2mvDwlYa9Njx85WGvCw9fZdjrw8NXHfaP4eGrDfun8PDVh70hPHyNYW8MD19z2JvCw9ca9ubw8LWHvSU8fJ1hbw0PX3fY28LD1xv29vDw9Ye9Izx8g2HvDA/fcNi7wsM3Gvbu8PCNh70nPHyTYe8ND9902PvCwzcb9v7w8M2HfSA8fIthHwwP33LYh8LDtxr2z+HhWw/7l/DwbYZ9ODx822EfCQ/fbti/hodvP+zfwtMZeuKxYR8NriceDw/XE0+Eh+uJv4eH64l/hIfriSfDw/XEU+HheuLp8HA98Ux4uJ54NjxcTzwXHq4n/hkerif+FR6uJ54PD9cTL4SH64kXw8P1xEvh4Xri5fBwPfFKeLieeDU8XE+8Fh6uJ14PD9cTb4SH64k3w8P1xFvh4Xri7fDww4b9d3i4nvhPeLieeCc8XE+8Gx6uJ94LD9cT74eH64kPwsP1xIfh4Xrio/BwPfHf8HA98XF4uJ74JDxcT3waHq4nPgsP1xOfh4friS/Cw/XE/8LD9cSX4eF64qvwcD3xdXi4nvgmPFxPfBserie+Cw/XE9+Hh+uJH8LD9cSP4eF64qfwcD3hQOyn4HqiaaqH64m2qR6uJ7qmerie6Jvq4RcOO0JTPVxPjNhUD9cTIzXVw/XEyE31cD0xSlM9XE+M2lQP1xOjNdXD9cToTfVwPTFGUz1cT4zZVA/XE2M11cP1xNhN9XA9MU5TPVxPjNtUD9cT4zXVw/XE+E31cD0xQVM9XE9M2FQP1xMTNdXD9cTETfVwPTFJUz1cT0zaVA/XE5M11cP1xORN9XA9MUVTPVxPTNlUD9cTUzXVw/XE1E31cD0xTVM9XE9M21QP1xPTNdXD9cT0TfXw+4edoakeridmbKqH64mZmurhemLmpnq4npilqR6uJ2Ztqofridma6uF6YvameriemKOpHq475myqpzP0xNwDn6upXE/M01QP1xPzNtXD9cR8TfVwPTF/Uz1cTyzQVA/XEws21cP1xEJN9XA9sXBTPVxPLNJUD9cTizbVw/XEYk31cD2xeFM9XE8s0VQP1xNLNtXD9cRSTfVwPbF0Uz1cTyzTVA/XE8s21cP1xHJN9XA9sXxTPfz1YVdoqoe/MeyKTfVwPbFSUz1cT6zcVA/XE6s01cP1xKpN9XA9sVpTPVxPrN5UD9cTazTVw/XEmk31cD2xVlM9XE+s3VQP1xPrNNXD9cS6TfVwPbFeUz1cT6zfVA/XExs01cP1xIZN9XA9sVFTPVxPbNxUD9cTmzTVw/XEpk31cD2xWVM9XE9s3lQP1xNbNNXD9cSWTfVwPbFVUz1cT2zdVA/XE9s01cP1xLZN9XA9sV1TPVxPbN9UD9cTOzTVw/XEjuHhemKn8HA9sXN4uJ7YJTxcT+waHq4ndgsP1xO7h4friT3Cw/XEnuHhemKv8HA9sXd4uJ74eXi4nvhFeLie2Cc8XE/sGx6uJ/YLD9cTvwwP1xP7h4friQPCw/XEr8LD9cSB4eF64qDwcD1xcHi4njgkPFxPHBoerid+HR6uJw4LD9cTvwkP1xOHh4friSPCw/XEb8PD9cTvwsP1xJHh4XriqPBwPXF0eLieOCY8XE8cGx6uJ44LD9cTx4eH64kTwsP1xInh4XripPBwPfH78HA98YfwcD1xcni47jglPJ2hJ04b9tTgeuL08HA9cUZ4uJ44MzxcT5wVHq4nzg4P1xPnhIfriXPDw/XEeeHheuL88HA9cUF4uJ64MDxcT1wUHq4nLg4P1xOXhIfriUvDw/XEZeHheuLy8HA9cUV4uJ64MjxcT1wVHq4nrg4P1xPXhIfriWvDw/XEdeHheuL68HA98cfwcD3xp/BwPXFDeLieuDE8XE/cFB6uJ24OD9cTt4SH64lbw8P1xG3h4Xri9vBwPXFHeLieuDM8XE/cFR6uJ+4OD9cT94SH64l7w8P1xH3h4Xri/vBwPfFAeLieeDA8XE88FB6uJ/4cHq4n/hIericeDg/XE4+Eh+uJv4aH64m/hYfriUfDw/XEY+HheuLx8HA98UR4uJ74e3i4nvhHeLieeDI8XE88FR6uJ54OD9cTz4SH64lnw8P1xHPh4Xrin+HheuJf4eF64vnwcD3xQni4nngxPFxPvBQerideDg/XE6+Eh+uJV8PD9cRr4eF64vXwcD3xRni4nngzPFxPvBUerifeDg/XE/8OD9cT/wkP1xPvhIfriXfDw/XEe+HheuL98HA98UF4uJ74MDxcT3wUHq4n/hseric+Dg/XE5+Eh+uJT8PD9cRn4eF64vPwcD3xRXi4nvhfeLie+DI8XE98FR6uO74OT2foiW+H/Sa4nvguPFxPfB8erid+CA/XEz+Gh+uJn8LD9YQfUn4Krieatnq4nmjb6uF6omurh+uJvq0eridGaKuH64kR2+rhemKktnq4nhi5rR6uJ0Zpq4friVHb6uF6YrS2erieGL2tHq4nxmirh+uJMdvq4XpirLZ6uJ4Yu60erifGaauH64lx2+rhemK8tnq4nhi/rR6uJyZoq4friQnb6uF6YqK2eriemLitHq4nJmmrh+uJSdvq4XpisrZ6uJ6YvK0eriemaKuH64kp2+rhemKqtnq4npi6rR6uJ6Zpq4friWnb6uF6Yrq2eriemL6tHq4nZmirh+uJGdvq4XpiprZ6uJ6Yua0eridmaauH64lZ2+rhemK2tnq4npi9rR6uJ+Zoq4friTnb6uF6Yq62eriemLutHq4n5mmrh+uJedvq4XpivrZ6uJ6Yv60ericWaKuH64kF2+rhemKhtnq4nli4rR6uJxZpq4friUXb6uF6YrG2erieWLytHq4nlmirh+uJJdvq4XpiqbZ6uJ5Yuq0erieWaauH64ll2+rhemK5tnq4nli+rR6uJ1Zoq4friRXb6uF6YqW2erieWLmtHq4nVmmrh+uJVdvq4XpitbZ6uJ5Yva0erifWaKuH64k12+rhemKttnq4nli7rR6uJ9Zpq4friXXb6uF6Yr22erieWL+tHq4nNmirh+uJDdvq4Xpio7Z6uJ7YuK0eric2aauH64lN2+rhemKztnq4nti8rR6uO7Zoq6cz9MRWA9+yrVxPbN1WD9cT27TVw/XEtm31cD2xXVs9XE9s31YP1xM7tNXD9cSO4eF6YqfwcD2xc3i4ntglPFxP7Boerid2Cw/XE7uHh+uJPcLD9cSe4eF6Yq/wcD2xd3i4nvh5eLie+EV4uJ7YJzxcT+wbHq4n9gsP1xO/DA/XE/uHh+uJA8LD9cSvwsP1xIHh4XrioPBwPXFweLieOCQ8XE8cGh6uJ34dHq4nDgsP1xO/CQ/XE4eHh+uJI8LD9cRvw8P1xO/Cw/XEkeHheuKo8HA9cXR4uJ44JjxcTxwbHq4njgsP1xPHh4friRPCw/XEieHheuKk8HA98fvwcD3xh/BwPXFyeLieOCU8XE+cGh6uJ04LD9cTp4eH64kzwsP1xJnh4XrirPBwPXF2eLieOCc8XE+cGx6uJ84LD9cT54eH64kLwsP1xIXh4XriovBwPXFxeLieuCQ8XE9cGh6uJy4LD9cTl4eH64krwsP1xJXh4XriqvBwPXF1eLieuCY8XE9cGx6uJ64LD9cT14eH64k/hofriT+Fh+uJG8LD9cSN4eF64qbwcD1xc3i4nrglPFxP3BoeriduCw/XE7eHh+uJO8LD9cSd4eF64q7wcD1xd3i4nrgnPFxP3BserifuCw/XE/eHh+uJB8LDdceD4ekMPfHnYR8Krif+Eh6uJx4OD9cTj4SH64m/hofrib+Fh+uJR8PD9cRj4eF64vHwcD3xRHi4nvh7eLie+Ed4uJ54MjxcTzwVHq4nng4P1xPPhIfriWfDw/XEc+HheuKf4eF64l/h4Xri+fBwPfFCeLieeDE8XE+8FB6uJ14OD9cTr4SH64lXw8P1xGvh4Xri9fBwPfFGeLieeDM8XE+8FR6uJ94OD9cT/w4P1xP/CQ/XE++Eh+uJd8PD9cR74eF64v3wcD3xQXi4nvgwPFxPfBQerif+Gx6uJz4OD9cTn4SH64lPw8P1xGfh4Xri8/BwPfFFeLie+F94uJ74MjxcT3wVHq4nvg4P1xPfhIfriW/Dw/XEd+HheuL78HA98UN4uJ74MTxcT/wUHq4nXBj5U3A90XTVw/VE21UP1xNdVz1cT/Rd9XA9MUJXPVxPjNhVD9cTI3XVw/XEyF31cD0xSlc9XE+M2lUP1xOjddXD9cToXfVwPTFGVz1cT4zZVQ/XE2N11cP1xNhd9XA9MU5XPVxPjNtVD9cT43XVw/XE+F31cD0xQVc9XE9M2FUP1xMTddXD9cTEXfVwPTFJVz1cT0zaVQ/XE5N11cP1xORd9XA9MUVXPVxPTNlVD9cTU3XVw/XE1F31cD0xTVc9XE9M21UP1xPTddXD9cT0XfVwPTFDVz1cT8zYVQ/XHTN11dMZemKWgc/cVa4nZu2qh+uJ2brq4Xpi9q56uJ6Yo6serifm7KqH64m5uurhemLurnq4npinqx6uJ+btqofrifm66uF6Yv6uerieWKCrHq4nFuyqh+uJhbrq4Xpi4a56uJ5YpKsericW7aqH64nFuurhemLxrnq4nliiqx6uJ5bsqofriaW66uF6YumuerieWKarHq4nlu2qh+uJ5brq4Xpi+a56uJ5YoaseridW7KqH64mVuurhemLlrnq4nlilqx6uJ1btqofridW66uF6YvWuerieWKOrHq4n1uyqh+uJtbrq4Xpi7a56uJ5Yp6serifW7aqH64n1uurhemL9rnq4ntigqx6uJzbsqofriY266uF6YuOuerie2KSrHq4nNu2qh+uJzbrq4Xpi8656uJ7Yoqserie27KqH64mtuurhemLrrnq4ntimqx6uJ7btqofrie266uF6Yvuuerie2KGrHq4ndgwP1xM7hYfriZ3Dw/XELuHhemLX8HA9sVt4uJ7YPTxcT+wRHq4n9gwP1xN7hYfrib3Dw/XEz8PD9cQvwsP1xD7h4Xpi3/BwPbFfeLie+GV4uJ7YPzxcTxwQHq4nfhUericODA/XEweFh+uJg8PD9cQh4eF64tDwcD3x6/BwPXFYeLie+E14uJ44PDxcTxwRHq4nfhserid+Fx6uJ44MD9cTR4WH64mjw8P1xDHh4Xri2PBwPXFceLjuOD48naEnThz2hOB64qTwcD3x+/BwPfGH8HA9cXJ4uJ44JTxcT5waHq4nTgsP1xOnh4friTPCw/XEmeHheuKs8HA9cXZ4uJ44JzxcT5wbHq4nzgsP1xPnh4friQvCw/XEheHheuKi8HA9cXF4uJ64JDxcT1waHq4nLgsP1xOXh4friSvCw/XEleHheuKq8HA9cXV4uJ64JjxcT1wbHq4nrgsP1xPXh4friT+Gh+uJP4WH64kbwsP1xI3h4XripvBwPXFzeLieuCU8XE/cGh6uJ24LD9cTt4eH64k7wsP1xJ3h4XrirvBwPXF3eLieuCc8XE/cGx6uJ+4LD9cT94eH64kHwsP1xIPh4XriofBwPfHn8HA98ZfwcD3xcHi4nngkPFxP/DU8XE/8LTxcTzwaHq4nHgsP1xOPh4friSfCw/XE38PD9cQ/wsP1xJPh4XriqfBwPfF0eLieeCY8XE88Gx6uJ54LD9cT/wwP1xP/Cg/XE8+Hh+uJF8LD9cSL4eF64qXwcD3xcni4nnglPFxPvBoerideCw/XE6+Hh+uJN8LD9cSb4eF64q3wcD3xdni4nvh3eLie+E94uJ54JzxcT7wbHq4n3gsP1xPvh4friQ/Cw/XEh+HheuKj8HA98d/wcD3xcXi4nvgkPFx3fBqeztATnw/7WXA98UV4uJ74X3i4nvgyPFxPfBUerie+Dg/XE9+Eh+uJb8PD9cR34eF64vvwcD3xQ3i4nvgxPFxP/BQeric82PhTcD3R9NXD9UTbVw/XE11fPVxP9H31cD0xQl89XE+M2FcP1xMj9dXD9cTIffVwPTFKXz1cT4zaVw/XE6P11cP1xOh99XA9MUZfPVxPjNlXD9cTY/XVw/XE2H31cD0xTl89XE+M21cP1xPj9dXD9cT4ffVwPTFBXz1cT0zYVw/XExP11cP1xMR99XA9MUlfPVxPTNpXD9cTk/XVw/XE5H31cD0xRV89XE9M2VcP1xNT9dXD9cTUffVwPTFNXz1cT0zbVw/XE9P11cP1xPR99XA9MUNfPVxPzNhXD9cTM/XVw/XEzH31cD0xS189XE/M2lcP1xOz9dXD9cTsffVwPTFHXz1cT8zZVw/XE3P11cP1xNx99XA9MU9fPVxPzNtXD9cT8/XVw/XE/H31cD2xQF89XE8s2FcP1xML9dXD9cTCffVwPbFIXz1cTyzaVw/XE4v11cP1xOJ99XA9sURfPVxPLNlXD9cTS/XVw/XE0n31cD2xTF89XE8s21cP1xPL9dXD9cTyffVwPbFCXz1cT6zYVw/XEyv11cP1xMp99XA9sUpfPVxPrNpXD9cTq/XVw/XE6n31cD2xRl89XE+s2VcP1xNr9dXD9cTaffVwPbFOXz1cT6zbVw/XE+v11cP1xPp99XA9sUFfPVx3bNhXT2foiY0HvlFfuZ7YpK8eric27auH64nN+urhemLzvnq4ntiirx6uJ7bsq4fria366uF6Yuu+erie2KavHq4ntu2rh+uJ7frq4Xpi+756uJ7Yoa8erid2DA/XEzuFh+uJncPD9cQu4eF6YtfwcD2xW3i4ntg9PFxP7BEerif2DA/XE3uF938YiQYReJxd11MTgIe5ReGkzYfGtm3btm3bttGkjW2rDao4RWyzjZ02aeO0cXJmznzPxbv3zZ5Zs/7AGnmkEf5/owy/5/B7BB91+L3Cw0cbfu/w8NGH3yc8fIzh9w0PH3P4/cLDxxp+//DwsYc/IDx8nOEPDA8fd/iDwsPHG/7g8PDxhz8kPHyC4Q8ND59w+MPCwyca/vDw8ImHPyI8fJLhjwwPn3T4o8LDJxv+6PDwyYc/Jjx8iuGPDQ+fcvjjwsOnGv6X4eFTD398ePg0w58QHj7t8L8KD59u+F+Hh08//Inh4TMMf1J4+IzDnxwePtPwp4SHzzz8qeHhswx/Wnj4rMOfHh4+2/BnhIfPPvyZ4eFzDH9WePicw58dHj7X8OeEh889/Lnh4fMMf154+LzDnx8ePt/wF4SHzz/8heHhCwx/UXj4gsNfHB6+0PCXhIcvPPyl4eGLDH9ZePiiw18eHr7Y8FeEhy8+/JXh4UsMf1V4+JLDXx0evtTw14SHLz38teHhywz/m/DwZYf/bXj4csNfFx6+/PDXh4evMPwN4eErDn9jePhKw/8uPHzl4X8fHr7K8H8ID191+D+Gh682/J/Cw1cf/qbw8DWGvzk8fM3hbwkPX2v4W8PD1x7+tvDwdYa/PTx83eHvCA9fb/g7w8PXH/7P4W0w/IbD/3X4vwTfaPi/hYdvPPxd4eGbDH93ePimw98THr7Z8PeGh28+/H3h4VsMf394+JbDPxAevtXwD4aHbz38Q+Hh2wz/cHj4tsM/Eh6+3fCPhodvP/xj4eE7DP94ePiOwz8RHr7T8E+Gh+88/FPh4bsM/3R4+K7DPxMevtvwz4aH7z78c+HheuL58HA98UJ4uJ54MTxcT/w9PFxP/CM8XE+8FB6uJ14OD9cTr4SH64lXw8P1xGvh4Xri9fBwPfFGeLieeDM8XE+8FR6uJ94OD9cT74SH64l3w8P1xHvh4Xri/fBwPfHP8HA98a/wcD3xQXi4nvgwPFxP/Ds8XE/8JzxcT3wUHq4nPg4P1xOfhIfriU/Dw/XEZ+HheuLz8HA98UV4uJ74MjxcT/w3PFxP/C88XE98FR6uJ74OD9cT34SH64lvw8P1xHfh4Xri+/BwPfFDeLie+DE8XE/8FB6uJ0ZoqofriRGb6uF64mdN9XA98fOmerieGKmpHq4nmqZ6uJ5om+rheqJrqofrib6pHq4nftFUD9cTIzfVw/XEKE31cD0xalM9XE+M1lQP1xOjN9XD9cQYTfVwPTFmUz1cT4zVVA/XE2M31cP1xDhN9XA9MW5TPVxPjNdUD9cT4zfVw/XEBE31cD0xYVM9XE9M1FQP1xMTN9XD9cQkTfVwPTFpUz1cT0zWVA/XE5M31cP1xBRN9XDdMWVTPZ2hJ6Ye+FRN5XpimqZ6uJ6Ytqkeriema6qH64npm+rhemKGpnq4npixqR6uJ2ZqqofriZmb6uF6YpameriemLWpHq4nZmuqh+uJ2Zvq4XpijqZ6uJ6Ys6kerifmaqqH64m5m+rhemKepnq4npi3qR6uJ+Zrqofrifmb6uF6YoGmerieWLCpHq4nFmqqh+uJhZvq4XpikaZ6uJ5YtKkericWa6qH64nFm+rhemKJpnq4nliyqR6uJ5ZqqofriaWb6uF6YpmmerieWLapHq4nlmuqh+uJ5Zvq4XpihaZ6uJ5YsakeridWaqqH64mVm+rhemKVpnq4nli1qR6uJ1ZrqofridWb6uF6Yo2merieWLOpHq4n1mqqh+uJtZvq4XpinaZ6uJ5Yt6kerifWa6qH64n1m+rhemKDpnq4ntiwqR6uJzZqqofriY2b6uF6YpOmerie2LSpHq4nNmuqh+uJzZvq4Xpii6Z6uJ7Ysqkerie2aqqH64mtm+rhemKbpnq4nti2qR6uJ7Zrqofrie3Dw/XEDuHhemLH8HA9sVN4uJ7YOTxcT+wSHq4ndg0P1xO7hYfrid3Dw/XEHuHhemLP8HA9sVd4uJ7YOzxcT+wTHq4n9g0P1xP7hYfrif3Dw/XEAeHheuLA8HA9cVB4uJ44ODxcTxwSHq4nDg0P1xOHhYfricPDw/XEEeHheuLI8HA9cVR4uJ44OjxcTxwTHq4njg0P1x3Hhacz9MTxw/8yuJ44ITxcT/wqPFxP/Do8XE+cGB6uJ04KD9cTJ4eH64lTwsP1xKnh4XritPBwPXF6eLieOCM8XE+cGR6uJ84KD9cTZ4eH64lzwsP1xLnh4XrivPBwPXF+eLieuCA8XE9cGB6uJy4KD9cTF4eH64lLwsP1xKXh4XrisvBwPXF5eLieuCI8XE9cGR6uJ64KD9cTV4eH64lrwsP1xLXh4XriN+HheuK34eF64rrwcD1xfXi4nrghPFxP3Bgerid+Fx6uJ34fHq4n/hAerif+GB6uJ/4UHq4nbgoP1xM3h4friVvCw/XEreHheuK28HA9cXt4uJ64IzxcT9wZHq4n/hwerif+Eh6uJ/4aHq4n/hYerifuCg/XE3eHh+uJe8LD9cS94eF64r7wcD1xf3i4nnggPFxPPBgericeCg/XEw+Hh+uJR8LD9cSj4eF64rHwcD3xeHi4nngiPFxPPBkerieeCg/XE0+Hh+uJZ8LD9cSz4eF64rnwcD3xfHi4nnghPFxPvBgerif+Hh6uJ/4RHq4nXgoP1xMvh4friVfCw/XEq+HheuK18HA98Xp4uJ54IzxcT7wZHq4n3goP1xNvh4friXfCw/XEu+HheuK98HA98X54uJ74Z3i4nvhXeLie+CA8XHd8GJ7O0BP/Gf7fwfXER+HheuLj8HA98Ul4uJ74NDxcT3wWHq4nPg8P1xNfhIfriS/Dw/XEf8PD9cT/wsP1xFfh4Xri6/BwPfFNeLie+DY8XE98Fx6uJ74PD9cTP4SH64kfw8P1xE/h4XpihLZ6uJ4Ysa0erid+1lYP1xM/b6uH64mR2urheqJpq4fribatHq4nurZ6uJ7o2+rheuIXbfVwPTFyWz1cT4zSVg/XE6O21cP1xGht9XA9MXpbPVxPjNFWD9cTY7bVw/XEWG31cD0xdls9XE+M01YP1xPjttXD9cR4bfVwPTF+Wz1cT0zQVg/XExO21cP1xERt9XA9MXFbPVxPTNJWD9cTk7bVw/XEZG31cD0xeVs9XE9M0VYP1xNTttXD9cRUbfVwPTF1Wz1cT0zTVg/XE9O21cP1xHRt9XA9MX1bPVxPzNBWD9cTM7bVw/XETG31cD0xc1s9XE/M0lYP1xOzttXD9cRsbfVwPTF7Wz1cT8zRVg/XE3O21cP1xFxt9XA9MXdbPVxPzNNWD9cT87bVw/XEfG31cD0xf1s9XE8s0FYP1xMLttXD9cRCbfVwPbFwWz1cTyzSVg/XE4u21cP1xGJt9XA9sXhbPVxPLNFWD9cTS7bVw/XEUm31cD2xdFs9XE8s01YP1xPLttXD9cRybfVwPbF8Wz1cT6zQVg/XEyu21cP1xEpt9XA9sXJbPVxPrNJWD9cTq7bVw/XEam31cD2xels9XHes0VZPZ+iJtQa+Zlu5nli7rR6uJ9Zpq4friXXb6uF6Yr22erieWL+tHq4nNmirh+uJDdvq4Xpio7Z6uJ7YuK0eric2aauH64lN2+rhemKztnq4nti8rR6uJ7Zoq4friS3b6uF6Yqu2erie2LqtHq4ntmmrh+uJbdvq4Xpiu7Z6uJ7YPjxcT+wQHq4ndgwP1xM7hYfriZ3Dw/XELuHhemLX8HA9sVt4uJ7YPTxcT+wRHq4n9gwP1xN7hYfrib3Dw/XEPuHhemLf8HA9sV94uJ7YPzxcTxwQHq4nDgwP1xMHhYfriYPDw/XEIeHheuLQ8HA9cVh4uJ44PDxcTxwRHq4njgwP1xNHhYfriaPDw/XEMeHheuLY8HA9cVx4uJ74ZXi4njg+PFxPnBAerid+FR6uJ34dHq4nTgwP1xMnhYfriZPDw/XEKeHheuLU8HA9cVp4uJ44PTxcT5wRHq4nzgwP1xNnhYfribPDw/XEOeHheuLc8HA9cV54uJ44PzxcT1wQHq4nLgwP1xMXhYfriYvDw/XEJeHheuLS8HA9cVl4uJ64PDxcT1wRHq4nrgwP1xNXhYfriavDw/XENeHheuLa8HA98ZvwcD3x2/BwPXFdeLieuD48XE/cEB6uJ24MD9cTvwsP1xO/Dw/XE38ID9cTfwwP1xN/Cg/XEzeFh+uOm8PTGXri1uFvCa4nbgsP1xO3h4friTvCw/XEneHheuLP4eF64i/h4Xrir+HheuJv4eF64q7wcD1xd3i4nrgnPFxP3BserifuCw/XE/eHh+uJB8LD9cSD4eF64qHwcD3xcHi4nngkPFxPPBoericeCw/XE4+Hh+uJJ8LD9cST4eF64qnwcD3xdHi4nngmPFxPPBserieeCw/XE8+Hh+uJF8LD9cSL4eF64u/h4XriH+HheuKl8HA98XJ4uJ54JTxcT7waHq4nXgsP1xOvh4friTfCw/XEm+HheuKt8HA98XZ4uJ54JzxcT7wbHq4n3gsP1xPvh4friX+Gh+uJf4WH64kPwsP1xIfh4Xri3+HheuI/4eF64qPwcD3xcXi4nvgkPFxPfBoeric+Cw/XE5+Hh+uJL8LD9cSX4eF64r/h4Xrif+HheuKr8HA98XV4uJ74JjxcT3wbHq4nvgsP1xPfh4friR/Cw/XEj+HheuKn8HA9MUJXPVxPjNhVD9cTP+uqh+uJn3fVw/XESF31cD3RdNXD9UTbVQ/XE11XPVxP9F31cD3xi656uJ4YuaseridG6aqH64lRu+rhemK0rnq4nhi9qx6uJ8boqofriTG76uF6YqyuerieGLurHq4nxumqh+uJcbvq4XpivK56uJ4Yv6sericm6KqH64kJu+rhumOirno6Q09MMvCJu8r1xKRd9XA9MVlXPVxPTN5VD9cTU3TVw/XElF31cD0xVVc9XE9M3VUP1xPTdNXD9cS0XfVwPTFdVz1cT0zfVQ/XEzN01cP1xIxd9XA9MVNXPVxPzNxVD9cTs3TVw/XErF31cD0xW1c9XE/M3lUP1xNzdNXD9cScXfVwPTFXVz1cT8zdVQ/XE/N01cP1xLxd9XA9MV9XPVxPzN9VD9cTC3TVw/XEgl31cD2xUFc9XE8s3FUP1xOLdNXD9cSiXfVwPbFYVz1cTyzeVQ/XE0t01cP1xJJd9XA9sVRXPVxPLN1VD9cTy3TVw/XEsl31cD2xXFc9XE8s31UP1xMrdNXD9cSKXfVwPbFSVz1cT6zcVQ/XE6t01cP1xKpd9XA9sVpXPVxPrN5VD9cTa3TVw/XEml31cD2xVlc9XE+s3VUP1xPrdNXD9cS6XfVwPbFeVz1cT6zfVQ/XExt01cP1xIZd9XA9sVFXPVxPbNxVD9cTm3TVw/XEpl31cD2xWVc9XE9s3lUP1xNbdNXD9cSWXfVwPbFVVz1cT2zdVQ/XE9t01cP1xLZd9XA9sV1XPVxPbB8erid2CA/XEzuGh+uJncLD9cTO4eF6YpfwcD2xa3i4ntgtPFxP7B4erif2CA/XE3uGh+uJvcLD9cTe4eF6Yp/wcD2xb3i4ntgvPFxP7B8ericOCA/XEweGh+uJg8LD9cTB4eF64pDwcD1xaHi4njgsPFx3HB6eztATRw5/RHA9cVR4uJ44OjxcTxwTHq4njg0P1xPHhYfriV+Gh+uJ48PD9cQJ4eF64lfh4Xri1+HheuLE8HA9cVJ4uJ44OTxcT5wSHq4nTg0P1xOnhYfridPDw/XEGeHheuLM8HA9cVZ4uJ44OzxcT5wTHq4nzg0P1xPnhYfrifPDw/XEBeHheuLC8HA9cVF4uJ64ODxcT1wSHq4nLg0P1xOXhYfricvDw/XEFeHheuLK8HA9cVV4uJ64OjxcT1wTHq4nrg0P1xO/CQ/XE78ND9cT14WH64nrw8P1xA3h4XrixvBwPfG78HA98fvwcD3xh/BwPfHH8HA98afwcD1xU3i4nrg5PFxP3BIeriduDQ/XE7eFh+uJ28PD9cQd4eF64s7wcD3x5/BwPfGX8HA98dfwcD3xt/BwPXFXeLieuDs8XE/cEx6uJ+4ND9cT94WH64n7w8P1xAPh4XriwfBwPfFQeLieeDg8XE88Eh6uJx4ND9cTj4WH64nHw8P1xBPh4XriyfBwPfFUeLieeDo8XE88Ex6uJ54ND9cTz4WH64nnw8P1xAvh4XrixfBwPfH38HA98Y/wcD3xUni4nng5PFxPvBIerideDQ/XE6+Fh+uJ18PD9cQb4eF64s3wcD3xVni4nng7PFx3vBOeztAT7w3/bnA98X54uJ74Z3i4nvhXeLie+CA8XE98GB6uJ/4dHq4n/hMeric+Cg/XEx+Hh+uJT8LD9cSn4eF64rPwcD3xeXi4nvgiPFxPfBkerif+Gx6uJ/4XHq4nvgoP1xNfh4friW/Cw/XEt+HheuK78HA98X14uJ74ITxcT/wYHq4nfgoP1xMj9NXD9cSIffVwPfGzvnq4nvh5Xz1cT4zUVw/XE01fPVxPtH31cD3R9dXD9UTfVw/XE7/oq4friZH76uF6YpS+erieGLWvHq4nRuurh+uJ0fvq4XpijL56uJ4Ys68erifG6quH64mx++rhemKcvnq4nhi3rx6uJ8brq4frifH76uF6YoK+eriemLCvHq4nJuqrh+uJifvq4Xpikr56uJ6YtK8ericm66uH64nJ++rhemKKvnq4npiyrx6uJ6bqq4frian76uF6Ypq+eriemLavHq4npuurh+uJ6fvq4Xpihr56uJ6Ysa8eridm6quH64mZ++rhemKWvnq4npi1rx6uJ2brq4fridn76uF6Yo6+eriemLOvHq4n5uqrh+uJufvq4Xpinr56uJ6Yt68erifm66uH64n5++rhemKBvnq4nliwrx6uJxbqq4friYX76uF6YpG+erieWLSvHq4nFuurh+uJxfvq4Xpiib56uJ5Ysq8erieW6quH64ml++rhemKZvnq4nli2rx6uJ5brq4frieX76uF6YoW+erjuWLGvns7QEysPfKW+cj2xSl89XE+s2lcP1xOr9dXD9cTqffVwPbFGXz1cT6zZVw/XE2v11cP1xNp99XA9sU5fPVxPrNtXD9cT6/XVw/XE+n31cD2xQV89XE9s2FcP1xMb9dXD9cTGffVwPbFJXz1cT2zaVw/XE5v11cP1xOZ99XA9sUVfPVxPbNlXD9cTW/XVw/XE1n31cD2xTV89XE9s21cP1xPb9dXD9cT24eF6YofwcD2xY3i4ntgpPFxP7Bwerid2CQ/XE7uGh+uJ3cLD9cTu4eF6Yo/wcD2xZ3i4ntgrPFxP7B0erif2CQ/XE/uGh+uJ/cLD9cT+4eF64oDwcD1xYHi4njgovP8D1M9KcXicXZdnFxBiAEZTpNfWQbYyKw17k8pOVoOkjMgmm0io7FmoZBQZFRmlzGwVsveWvXdG1jnOcz+89/lyz7nn/oFnmSYN/t+y4cDwNPnlwtPV4ZuFZ6jDLx8OUodfITxTHX7FcLA6/ErhWerwK4dnq8OvEp6jDr9qOEQdfrVwqDp883CYOnyL8Fx1+NXD89Th1wjPV4dfM7xAHX6t8EJ1+LXDi9Th1wkvVodvGV6iDt8qvFQdvnV4mTr8uuHl6vBtwivU4duGw9Xh24Uj1OHbh1eqw68XXqUOv354tTr8BuFIdfgNw1Hq8BuFo9XhNw6vUYffJByjDr9peK06/Gbhderwm4fXq8NvEd6gDr9lOFYdfqtwnDr81uGN6vDbhDepw3cIx6vDbxverA7fMbxFHb5TeKs6fOfwNnX47cIJ6vDbhxPV4XcIJ6nD7xjerg6/U3iHup3DXcI7w8nyXcK71OF3De9Wh+8a3qMOv1s4RR1+93CqOvwe4b3q8HuG09Th9wqnq8N3C+9Th+8e3q8O3yN8QB2+Z/igOvze4UPq8PuED6vD9wpnqMPvGz6iDt87fFQdfr/wMXX4PuHj6vB9wyfU4fcPn1SHPyB8Sh3+wPBpdfiDwpnq8P3CWerwB4ez1eEPCZ9Rh+8fPqsOf2j4nDr8YeEcdfjDw+fV4Y8IX1CHPzJ8UR3+qPAldfijw5fV4Y8JX1GHPzZ8VR1+QPiaOvxx4evq8MeHb6jDnxC+qQ5/YviWOvxJ4dvq8CeH76jDnxK+qw5/avieOjx/4n11eP7EB+rw/IkP1eH5Ex+pw/Mn5qrD8yc+VofnT3yiDs+f+FQdnj/xmTo8f+JzdXj+xBfq8PyJL9Xh+RNfqcPzJ75Wh+dPfKMOz5/4Vh2eP/GdOjx/4nt1eP7ED+rw/Ikf1eH5Ez+pw/MnflaH50/8og7Pn/hVHZ4/MU8dnj/xmzo8f+J3dXj+xB/q8PyJP9Xh+RPz1eH5E3+pw/Mn/laH50/8ow7Pn/hXHZ4/0aDUHZ4/sUCpOzx/omGpOzx/olGpOzx/YsF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CylinderKnMa/Kn0p18/simulation0332_Kn0p18Ma5p1/Lambda/Lambda_8_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="1035" NumberOfCells="968" >
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+ <PointData>
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+ </PointData>
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+ <CellData>
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+ <DataArray type="Float64" Name="id" format="appended" RangeMin="49001" RangeMax="54168" offset="0" />
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+ <DataArray type="Float64" Name="xc" format="appended" RangeMin="4.0389" RangeMax="5.9775" offset="1524" />
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+ <DataArray type="Float64" Name="yc" format="appended" RangeMin="4.0315" RangeMax="4.9775" offset="2124" />
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+ <DataArray type="Float64" Name="c_6[1]" format="appended" RangeMin="0.0043097" RangeMax="0.0082152" offset="2468" />
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+ <DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.095597" RangeMax="0.18223" offset="11872" />
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+ </CellData>
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+ <Points>
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+ <DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="5.6748189645" RangeMax="7.8102496759" offset="20000" />
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+ </Points>
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+ <Cells>
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+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="23180" />
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+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="29720" />
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+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="31516" />
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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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_AQAAAACAAABAHgAAYwQAAA==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AQAAAACAAABAHgAArwEAAA==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AQAAAACAAABAHgAA7gAAAA==eJw77m3e6agg4HB8lKYJPbHut1WB3yhNK9r+2J2tLTWjNK1ozp8L0jevGqVpRe9waHp0/MYoTSu6qdhtyjc2wVGaRrTBbnV+btNRmlb0PSbOLvnkUZpW9ArTs9Z+E0dpWtFhteu2Je0fpWlFK24oypj4dpSmFX3+e/DjpdJCozSN6JlaElOveI7StKLdi37yvywfpWlFCy3de1B82ShNK/rAm3k2OldGaVrRwEbwuygm4VGaRrRFuktmvsEoTSv62TrVJ81xozSt6I0PX07d1DNK04qO1zwtcHzXKE0rWjOm/9DXF6M0rWgABYaRLQ==AQAAAACAAABAHgAAeRsAAA==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AQAAAACAAABAHgAAvRcAAA==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AQAAAACAAACEMAAAPwkAAA==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AQAAAACAAABAHgAAMAUAAA==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AQAAAACAAADIAwAAEQAAAA==eJzj5BwFo2AUDHUAAG+sIgk=
26
+ </AppendedData>
27
+ </VTKFile>
CylinderKnMa/Kn0p18/simulation0332_Kn0p18Ma5p1/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 0.00977 0.43938 -0.43933 0.0069015 -2.0673e-05 -0.001316 -0.006901 8.7734e-05 57.988 0 0
11
+ 129 -0.31871 0.38526 -0.30645 0.39508 0.24969 11.243 7.0296 -8.7744 1.2104 0.96971 0.12943 -0.12259 1764.9 0 0
12
+ 2 0.49975 -0.015705 0.49901 -0.031395 0.01016 0.45416 -0.45366 0.021394 3.1912e-05 0.00067669 -0.0071253 0.00034667 55.766 0 0
13
+ 130 -0.30645 0.39508 -0.29389 0.40451 0.23778 10.715 6.4337 -8.5688 1.2577 0.94429 0.12081 -0.11976 1680.1 0 0
14
+ 3 0.49901 -0.031395 0.49778 -0.047054 0.01025 0.45974 -0.45832 0.036071 -0.0018957 -0.024087 -0.0072288 0.00018823 60.666 0 0
15
+ 131 -0.29389 0.40451 -0.28104 0.41354 0.22822 10.265 5.9022 -8.398 1.248 0.87711 0.11231 -0.11813 1641.4 0 0
16
+ 4 0.49778 -0.047054 0.49606 -0.062667 0.00969 0.42756 -0.42498 0.046918 0.000239 0.0021648 -0.0066715 0.00077096 55.297 0 0
17
+ 132 -0.28104 0.41354 -0.26791 0.42216 0.21124 9.5972 5.2691 -8.0214 1.2045 0.79119 0.10168 -0.11357 1537.3 0 0
18
+ 5 0.49606 -0.062667 0.49384 -0.078217 0.00963 0.41463 -0.4105 0.058422 -0.0022144 -0.015559 -0.0064826 0.00067327 58.857 0 0
19
+ 133 -0.26791 0.42216 -0.25452 0.43037 0.20089 9.0501 4.7286 -7.7164 1.2959 0.79412 0.094629 -0.10873 1476.1 0 0
20
+ 6 0.49384 -0.078217 0.49114 -0.093691 0.01008 0.44561 -0.43897 0.076613 -0.0014934 -0.0085566 -0.0069185 0.001069 61.932 0 0
21
+ 134 -0.25452 0.43037 -0.24088 0.43815 0.19055 8.5959 4.2589 -7.4666 1.2786 0.72932 0.08698 -0.10583 1382.3 0 0
22
+ 7 0.49114 -0.093691 0.48796 -0.10907 0.00894 0.39846 -0.39018 0.080802 -0.0059566 -0.028763 -0.0062222 0.00081739 54.416 0 0
23
+ 135 -0.24088 0.43815 -0.227 0.4455 0.17844 8.0473 3.7656 -7.112 1.2454 0.65941 0.07871 -0.10135 1305.2 0 0
24
+ 8 0.48796 -0.10907 0.48429 -0.12434 0.00868 0.3766 -0.3662 0.087916 -0.0028276 -0.011778 -0.0057964 0.0011959 43.661 0 0
25
+ 136 -0.227 0.4455 -0.21289 0.45241 0.16962 7.6244 3.3543 -6.8469 1.2396 0.60729 0.072158 -0.098008 1264.5 0 0
26
+ 9 0.48429 -0.12434 0.48015 -0.1395 0.00867 0.38008 -0.36661 0.10029 -1.4314e-05 -5.2321e-05 -0.0057587 0.0015745 48.275 0 0
27
+ 137 -0.21289 0.45241 -0.19857 0.45888 0.16002 7.2023 2.9639 -6.5642 1.274 0.57523 0.066565 -0.094071 1203 0 0
28
+ 10 0.48015 -0.1395 0.47553 -0.15451 0.00798 0.33833 -0.32338 0.099483 -0.0021971 -0.0071419 -0.0051139 0.0014504 42.292 0 0
29
+ 138 -0.19857 0.45888 -0.18406 0.46489 0.14705 6.6517 2.5455 -6.1454 1.2101 0.50122 0.05899 -0.088654 1116.1 0 0
30
+ 11 0.47553 -0.15451 0.47044 -0.16937 0.00746 0.32214 -0.30477 0.10435 0.0046911 0.013702 -0.0047135 0.0018542 48.478 0 0
31
+ 139 -0.18406 0.46489 -0.16937 0.47044 0.13767 6.2273 2.2012 -5.8253 1.1726 0.4431 0.052994 -0.08454 1043.8 0 0
32
+ 12 0.47044 -0.16937 0.46489 -0.18406 0.00743 0.31821 -0.29767 0.11248 0.0021216 0.0056147 -0.0046423 0.001855 43.755 0 0
33
+ 140 -0.16937 0.47044 -0.15451 0.47553 0.12898 5.8437 1.8929 -5.5286 1.1584 0.39662 0.047928 -0.08061 974.84 0 0
34
+ 13 0.46489 -0.18406 0.45888 -0.19857 0.00687 0.29218 -0.26994 0.11181 0.0067808 0.01637 -0.0041335 0.0020134 39.398 0 0
35
+ 141 -0.15451 0.47553 -0.1395 0.48015 0.12061 5.4281 1.5961 -5.1882 1.1274 0.34682 0.042778 -0.076045 940.61 0 0
36
+ 14 0.45888 -0.19857 0.45241 -0.21289 0.00659 0.2841 -0.25893 0.11691 0.0092922 0.02058 -0.0039211 0.0021596 40.548 0 0
37
+ 142 -0.1395 0.48015 -0.12434 0.48429 0.11326 5.0942 1.3442 -4.9136 1.1054 0.3024 0.038477 -0.07243 842.43 0 0
38
+ 15 0.45241 -0.21289 0.4455 -0.227 0.00637 0.27247 -0.24468 0.11987 0.013706 0.027978 -0.003628 0.0023223 36.173 0 0
39
+ 143 -0.12434 0.48429 -0.10907 0.48796 0.10473 4.6901 1.0949 -4.5605 1.0546 0.25318 0.033762 -0.067657 790.65 0 0
40
+ 16 0.4455 -0.227 0.43815 -0.24088 0.00587 0.23967 -0.21181 0.11215 0.020541 0.038796 -0.0030044 0.0023709 38.221 0 0
41
+ 144 -0.10907 0.48796 -0.093691 0.49114 0.09766 4.3951 0.89128 -4.3038 1.0358 0.2145 0.030269 -0.064232 775.34 0 0
42
+ 17 0.43815 -0.24088 0.43037 -0.25452 0.00524 0.21478 -0.18656 0.10641 0.015826 0.027746 -0.0026818 0.0021073 31.833 0 0
43
+ 145 -0.093691 0.49114 -0.078217 0.49384 0.09119 4.095 0.70405 -4.034 1.018 0.17767 0.027049 -0.060573 707.26 0 0
44
+ 18 0.43037 -0.25452 0.42216 -0.26791 0.00499 0.20288 -0.17299 0.10601 0.030097 0.049114 -0.0022444 0.0024365 31.381 0 0
45
+ 146 -0.078217 0.49384 -0.062667 0.49606 0.08408 3.7754 0.53197 -3.7378 0.97112 0.13821 0.023609 -0.05654 647.85 0 0
46
+ 19 0.42216 -0.26791 0.41354 -0.28104 0.00479 0.19125 -0.15985 0.105 0.025533 0.03887 -0.0021098 0.0022598 33.225 0 0
47
+ 147 -0.062667 0.49606 -0.047054 0.49778 0.07852 3.5139 0.3856 -3.4927 0.93634 0.10337 0.020764 -0.053237 623.57 0 0
48
+ 20 0.41354 -0.28104 0.40451 -0.29389 0.00489 0.20434 -0.16718 0.1175 0.043312 0.061627 -0.0019456 0.0028135 43.068 0 0
49
+ 148 -0.047054 0.49778 -0.031395 0.49901 0.07067 3.1557 0.24759 -3.146 0.89471 0.070415 0.017943 -0.048309 553.43 0 0
50
+ 21 0.40451 -0.29389 0.39508 -0.30645 0.00492 0.20289 -0.16225 0.12182 0.046929 0.062504 -0.0018113 0.0028952 39.818 0 0
51
+ 149 -0.031395 0.49901 -0.015705 0.49975 0.06631 2.9799 0.14037 -2.9766 0.87413 0.041223 0.015935 -0.046107 532.11 0 0
52
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AQAAAACAAABABgAA4gUAAA==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AQAAAACAAABABgAAAwYAAA==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AQAAAACAAABABgAANQYAAA==eJwVz4k71AkfAPAQNuzIFW9F1pGU2lgVr5cv8UZpZxPRNqExLBoZSY7caeRYOVLT4CETwox7msMM399sJvU4VjpUvHrTagnlLUetKe+zn//g4/murKZzdQNc8FpzZJtoL5xIC6V95G6D+KgDXz3dD8LLL0NH+rUPgMssU1mQ5QOLvwnq794/BJk6b58ts3whRJKc8a7vZ+B6OVnQ7wZAuiPJUJ8aBAbFVANGaBBk3Z75IzztFNRqzNCV26igNFnrs0+NBvTIBy7mUTRo66vT9XOnwpkYs7/uLNKgPYD02iIrBO7PsX7y1wqHLdcNG3nCcIhooIZG0yLgq7bm+lOzEZCUJ4tYUUSBUrF9tKkeAziyk265zBgQbUwbM3eNhbjHNjvqVeLgVlos43lKAhys/SGfa5kI+ReZDslayRCQe/f17J9pcIe/7k1laCaQtm8IjXHMAnGenKGxgwlyv7/WhQuzIdO9/miHeh6YxATamksLQEXtYJX/w0L42KQ9U3CiGJJUOVZhR69CnKXyE8gpBQ/6v8tfj12Hz51aq9NqZRA3vHJvpJINUzkprKOsCnC9+UOk7/kqMG5+YrK0vxoK+H7jV2I4oIj9RbJ/Sw30JA5w/8mthYw7p0cu8euAXpZQwTFvgE9fyg2tuhvhIIflYyPkwf4LeZvNopuBq97vXpfSCtRjXQry1TawvOrrdPdxO2xmnfVVGeiAvMKf7g+O8kEiEFJKVAQgX7snRXNGAG7/o/UHeouggT6X2qghBkqwBX/yZCfEzERXvi2SQO7bpswmXSkk9buGKVakcOLZI1L6j90wYBKhms3rhpOxY9bGPARzg3sbLm4mgPRJsXt/IgElZna8iQICtFoLyYGfCXDoXuovWSODf71wCNnpIgNW/fjGZ9tl8GiphWdvLYNU1ch7nGkCTsxzWkwHCJiZ2LuRoBDgeUzP4z/qBIRr85Xd/RFcn5fukPZ1ga6tZclUmBRWrjsGbtCTAFkzaMGgRgxFz39eIKuKoNLjUrqOvQAK5pdM1/7RAUFPe5SDH7bBYK4zv9CgFXKDDrSNDTfCOr9V05LvbsPhHHHNaUk1NAtC0p87s8FJ3uh2Y7QANE4x1AtH44C3EpWrJDyH16dZOcLBQvzvIrvDZfIGknZ/NFb0VKNWqf7xNb51+KBlS0gWk4vfLz/wydjWiudVR3OsJG1Yy+zbHqXGR7bNO7AzFiDNgzPU/k6IeUq6P97MEaPRbPaZfDsJNkWOn827IsXjfxoVdY134e5KN/fVtYhqoS0J6VLEYlHv8OVdBObvsytUyAhsfuTlPTlHYNPhT7Vp4wQ2LE0n9rvK8Lh8E9vzK4Fhvs3zuwxl6BHJmGc+INBnWcnrzASBC/uq1ytdJrDT1pmaq07gUe2HU6QQxO1xQTRWfTf27WzK7nHuRnvmIH1WtwtvGhi1dz6RoDjnfQ/PUIIKo3Mjuh/E+FkHQ741FOOWSxkp6wxEmP6inqzeLsCxXfYjkTV3cEVVQh3l8PGp49+DDhwaApk8rx1fxBzf+MmnDUfJFPOLZ1vRrECjIkqlBVemHl/7/QMPacMvvV+5cdE63p60KKlHhtTJzr/8Ni6/fV39ProWK4NLb+LQLSSHvlFm9XLwg5nePN2iGln+7hMm3lXYkXqf0pxWgdYdblv/4ViOh95vCk7+hY2rQL6xu+wa6nma5NgMl6K49kmRqLcELZ21msiDRZjbLiz9KL+CSdNbbb/h/YqUb2KP/HY4H3su3PK/0X0ZR42cXlk6MHFuQGyZNZeJi5qbNDwWMlB4SPMDyTsNv7zhBwZcTEbG9ETG7ReJ6OLVeEhgEI/ZBQFy4mUcXs2Y0Nn69BxeSB/IUnU7i9ata+q0NsfgIoU5bsOIwArlBX+R6xkszng4OfDqNP6ufCuT1BCBDQ6R5wcgDHWmdSPjHcLQN5Sm36kUhiPlXc9MHWj4rWovcc0zBMc3TR34UkbFhIRmR5+TwThT3eu4ok9FHpt++Tz7FBqnWsni8ym40xlsA7gUJDItPK9Jj+HQVEf9gsgPnb9jKlLX++LXX2VJVsd8UJ0avRxbdRhTFU0CeYMHsu+pOVMb9+BAc4Xjyp7vUf5+r7q4Sh/+D/4nJ84=AQAAAACAAABABgAA1AMAAA==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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
37
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38
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_AQAAAACAAADARAAAiwkAAA==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AQAAAACAAADARAAAYAMAAA==eJzt0/tPzXEYB/DTOXXqdDnXRiTJZB3DQkhmoYzjssRmUUpkQ53RVqPco8toCcktTO4tuSzXnc7zYC5prk2RjS46Cek4XZWkc76/+wve358/+37ez/v5vLRRBx52fNVwjLZC+fS+hvM6pTHHsjX8/NHsq+ujNSw6uKM3yF/Dk6Pv61zFGs4c9OFlV6WayxrcvcovqNlyfXH8ic1q9tuRfS9ep+boBc8cZ3iq+bqkKduvRcWNr0d+/G1UsefpaG1FrorDB04XrFZxRmDVY32Aig0OavdgqYrlRv/jY94rOXR/QlPvFSWnRFye/GKrkq/5ftlzepGSGy3ebzd6K1m/bHvJ7XoFvze3z1+eoRDOaxXCuRdyHsqRI2YlyjljRaWhwV3OtrHuuvGRtVlrVka5scj2ubE1RuE5V64OaA2cM9eVUy+MDRn23YVNwec/G3NcOLzGc1vsRBc2JB32sK9yZj+Fy62LKc58+EpauM7LmadaL3og48LSqd0P42QsD7uWt9ZJxinNoyc4FTuxNU1RmBNntX+s3t3myG05S5NGHXUUeg5yFPr9JBV6TZPy2e4JphJfKYeu32hOL3cQ+tM7CL0pHYS+Su3Z8nbRamWEPeeHWAeXsN0nsWzfGQknbLFOIOFqtWXWK5OYQwb+nrhPzCVz61Ldx4t5yd3h6d/f2HHZknyfnGQ71ra4Gf2H2HFeZvpAUyLu9+nrTF4l4g22gUXstSJu+uewfhJy/yUhbx8JOfto8zgf7/aEP0TygkmFpb0k5OkhIUcPCff/piH1EYPvvOkm86B5i/94dFPgQFtFq7pIPu7mqdZLndQYe7YqoLWDDPm5itQpHXSoYuc82t5ONcU9UfrHbXSjrvnITdc2sr27pRayva+Tvyhg152ZafVmsm7lqdZMHjL9tKP1Pyl77+2CBYktJOz5ByVt1a0pzflGXzsPPVnn1UzCfpqoJW5TniHIRLG197o2lX+hd5GSSN+IBtJVLzR+MNVRTXmtX0pyLWnhAz7gAz7gAz7gAz7gAz7gAz7gAz7gAz7gAz7gAz7gAz7gAz7gAz7gAz7gAz7gAz7gAz7gAz7gAz7gAz7gAz7gAz7gAz7gAz7gAz7gAz7gAz7gAz7gAz7gAz7gAz7gAz7g478+/gHJF+f5AQAAAACAAADARAAACwEAAA==eJztxb1KQgEAhmFwCKRBs0GhwRokjAYXMSrIIIoIXASHEAMdrKmwwaUarCUJ4oAOLeFiRIOUokQi/QydIaLFoSGCfoiEcquQli6g7xLeZ3nMucD2ZL89aDLzv42N39GVEDOrJ64fqltrzKy2dgrJyhEzq0+DmWfznpnVmdXp3HdXDzOLffVBW7efmdWPFmvWnWBm9aH/dixkMLM6sl6qxc+ZWT1wnFo0PplZffcTfin2OZhZvDfkyjdnmVk9k+rYWmlmVjuKjUvnATOrLz72x4ebzKzOuhPteUsvM4tHklNLyz5mVr+VPK+bMWZWnzy18uUdZlYveG/s5hkzq73R3auvd2ZW/wFCUY/NAQAAAACAAADARAAAfCUAAA==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AQAAAACAAADARAAAIBYAAA==eJx123v8l+P9B3BFKprSqi/WgXTQ+hLyQ0mX8EttjsvKsbFWC2VZjvllJYdkHRiyTMb0y6qxlJUyHdR9l0MnpSghIvoSfUWraNfn+/s9d3nce+yv+3F/Pvfhut7v1/v1fr3f13VvWfD2xXM/zcLwih2fjf06C3e3nzdh3/3ycFPlhXdvqJOHkXPqnnb19/OwZvkjoy48JA/9Z3wy+LmGeXh41y097jsgDw17PTi0V7y+wYoz133+ZRamVsxtvvOdLBxd+/wer7yRhW7n7zlk8NosdF5xQJ2L387C2l3NHz/6o3Rc1XHKhMM/ycKnw3tesSQev+128KE9v0jnQyaVn9F4axau6buw3Y7KLPyo96N9TvsqC03PP3HzAduy8KuJn4x75L0svFL57mfT4vPPGDeifr+3sjC/YmKn8tVZeLfypVrvrczCqd3n9Nv+Whau6nXE5tZrsvCLpv8YMTy+v/vas19888N0/s2C+YO3xecdUntgh/GbslDz9GeH1d6QhXt6d52+YVUWBq+tv73L8izcPP7enee+moX95165/ol4fHLS9hvveD0Ln7c/pnGtpVmY0bvO5jPnZqFf92ETLvlbFpZNmj2lIp7f1mu/vZfG/5eXlwyUnmO89Rf+afSRb6TjLU03PPrc+ix8v/uXx4/anIUNcx6Z3PGDLLQ//9C9nd9P82ffxqc/OOHUFVl4ecC47l2XpXkbv/eMaTpv1sdxHhW7asQZZOE3Gy98cuG6ZMe+k7q32fJVwsVhZQfd8YtqeVjSpXb7gXuz0GztXaOu+zYL+417a9HSb7JwacuLGi/bk4Wfbhwz6JLPsxB6XTp9XkUWXh1y3APfj/hqs6L19hYfZ+Hrat0Gbvog2fWZlh+MmBjH99jmWwbd9J1581v12zsM2bMxPe+EtVdFU2fh8crD5p65I+EgOqXfmu/4jz34e3fHQctGrkrnF43rVz4h2uf4pUsuXvd6sg/cec8Pe5U8lIXKJc3qdIp2OLNs9axX4zzalX3x6MM7kp3+UffjWc/sm4dH52y/eGLNPHyy/LYnR8b4OXZilzP2xvjoNGnEjt8clIc4iI3vHpiHARX111war2c3R++7a9q1O/4Q4+neAR/t/nOMh0PH/X3jN/F4w+YZnep+luYtfsZOqnv5+THu3hi8ane2Nh2v3njdqDEfpHl57qwh5w55Z2fyyx8HvNxwY8RX8ypDJPvDNZyYfwyOKc/G97++YFe4+x/Zv+Y9u9pjzbrWSvxweO+17dZ9Lw+7H+pweaPIIwc3Hdh4eqM8lKz386Py0GTa3sEPt8tD9b49nv78mDy8+8bbndYckYfbOjaNEM/Dr9tvGLa8bh5eGj6u/Irqefht5UmP14s43Lik0/aa0X5Pdfyg3+x43rPvOw0XRFw63jhgv003fJPGx374BZ/kc2aP3j/i9b749FmfJfu/uKCsVY8aefjyvEHTn9g/D7+MaDl3/+THJ4Zcc8XU6Nf3Rz63s8E++b/eVzXs+P69y6988YX4u+N10+5d3z8e4WjyjN8tuCDia3r7O5ddU5Him33FDZyf17TR1edUJj68s2UJAVm4uGzWyn1ifPx12gltakS8fzXk6/zWNSnO8e8x4/6487gPE9/BTxVN78rC0Bmvjf64drKv8f6h/RMzT9qZ4hxvw9tB9V5d+f7XCUd/q/xm9c0fJ/58YcaN6+/8MM1P3Jtni/F7x922Owvrhg/u+kCMo/8pH7rl9jien/UeNvT6T5IdjB8fOK6YcfGO5yPfL4hRf//76blH1ntma1nFv+ebYhzwu/Gy60n3dLli84qUx8zDOPn9427H7D3im2RHzzdfduIH+cn5hJbVrr76zRRv+Nvv/IvXzAs/jR/c5ukfRvv9vWM+rCLi5OR699c4+90sNFm6OTz5Trrfe9mfvfAHXC0shUt8rnz+X73ndK8T4270kJFdb6qXhxplba8+NsZzr4p2c1vXTXHxl12XDVz8bcI/P95eMlf8XzzB1QFr/zTo1MgP+/R6ts+R8bl/qvZCjfoNkr7AG8e1vH9L3wbp6L3OXed5raqAnYffdax2zh3x97ZVRJH/W57Cv2/WWrR1VxzXZdOeWnBC5OuzB3R++nsNE1/N6NLq0A6Rr83LPPEnHFwwqV/dmdUTP+AtPDV4TnmrE5vl4cOHep6xqWkerup4yqGNW+ahKj2UpftG7Cq9OA91xze+6Uc103ufnbOmxOj/4qOtPZd33/aDPJxecXakiDyMqfbm1rfj86d0u3P6nYfn4YHILp80TrrNfD6ou//EW+sm3dZo4+bmL8bf6T44kmey9v23PPZu0nXPDfhLu/pvpfNRm0sTSvHhf/lUHn5vSIOnz4r4xSfixjzxJP2AF8XpZ7Um12i3Kx3xOfzj+Ri0zdfH49tdSoZJ8QqnK+oeecdZ0W6PLfndk9e0ysNFg4ddMSb6Y+aSG1987LDkl+YDbo4hkYfnzsv77P/DPFS83WzbT9vm4eiKq+6eF+8rqYjOTfJQJR+i3+gjuGJHvMCPzs0f/8mneEMexgN1qre9u1E8HlVF4Ok6vIvH/ntii8vbf2f+4pld75/x18lNvk16TvzBPdzK0zvemN+zdqOEH3GFD+Dr80YlRsvDqeWrJ3wY7TK3VDa0zsP85bMHHd4incPlniajqg9tnvhDnmM39qA/5Wu/wxF8DGp5yonVv0j5yPzVC+aPFx/sO7LP5RsSvuWXfWuPatYn2vGSiTVv+uWnST/Bnbih99gLH/2kfNbMw+onPhP3Awf3GbKwfqqn8FiXvnt2//bApG/M96GKdZGZUp6jm+VX8cFueA1f/3jzp3HE+b/hTZzgZ/p12uA6S3pvSzobrsSX59H94o8f+Mf46V56DN74+8oBR8RSIulj4zCvWkurtxoU539hr86xJMnClv+vU+kW/jROfnIun6lnPuo4euaF38mj/E1f8+9pG6f2bLUn2cc45El4glN25Qf6Ei7ZCW7Vb/JyUccYL1yyP11qnPIQ+8Ej/S1P0KWuLz6HHc2HDpSP5L/XqpUGmvhFXoO7TdVKAj7hgF6VJ4v1EVyIU+/3HnmZ3hBff45ZutnBeTiw95cNn4z1wYRaP5jYu00eFo897qajY91w0oBLH3gz5r/GLZ9Zdlw8vjW2wX1XNky8tbpbCclJh/A3u4gP+oe/+Y9/4ZXeo6vWt/9x9dWrE2+rs9X9o8dfW3/E/NQfKL99719+kac+wry+545fvCj1B+hQ+JaX4dt4xC17mg/dg/fhtWvLG6pPqJV4n53EpeO2sV9PebB20k/yGNyxK36DH32CR6ZdUHfllpT/i3UInPtfnIlL84Fj/IPX6C91C9zTm/SAukucyovyBR5jN3h2HV4yfkd8zC6ep35RX8KLeFOPqG/0cfCDfhT+GVb1gHQdne86vMfe+Fw95H64YX/6De/oK8Gb+ck/+gTypKN5Gge9ov4xDnlNHeP54lCewRf4Rj6mc9jFPOhRz+U3PLxz5MP1u3+Z/IO3+A1e8I3/vR/e4FpdIz7kcXztfXBjfOzIvnBRrCfhnz6Ef3mJHehr/T59Ln0bPEtf0Afei+fEifcX4wb/Gf/37rk1jiTFgfHI/+oV8SrfFHW/PhE+MU79FfliXrf+rzzfINVF+j7s/vPK6wY+FfXn8yO3LZpWlq53nffzB/vTgXQBPJZY+MP3k/4Qr87x1fW9+4x/amOKO/zFLvwjrtTd7Oj9VbS+LPVv9O96rPi05eiVWah3So8tL2RZ+Hm9izrMXJL6luaBV+RdccC/cMwv+A0O9DPFh/jCY+oRcW3+cK3+q5K7cdwlqxy2Lgt3THxtyvI1SX/Jl3hWfhU3xiePlNTerw9Odb68BBfiAb/oi4h7+UCe01+g0/lHn10eZz9H89MfEp/yBn6gv/R/6RW4hX94FGfiR5zRUfzHPupk/QZ8JE8ahzqF7oPnIr7xs/fjQ0fjhAu4wY90Pb6VXx2NX54r2lv8WAexHoDP4If9jV8c8Y/4E2fw13rhXZN7vZyFy5aOGX3aCxFXVUI7C/1XrAgLFqd1gGiE4ye/ktZvym5v/MCxMb52VP5v84ZZul786a/CO14QJ+K6CrZxnufUu6HZsNWJR+Rv8Suv4iH1gfyKV1ynz4I3rN/o08v38hA/6jvTc3Am3ukLeVxe0l8Th/iZTpcH6Wu/w2txnYNe81z9N30H/S39AvoSHzgvqf9X6qU+tfoQ/9KX+uPsS/f4v7juQlfjRUdxhmfVK+xBv7A3PhJfdAx761vwk7iV7/Wv/I5XiusPrvNe9sd77KiPoz/x++Ev7/w61lHXdxn6yh+OycOZuz7dOr9DHqqWDU/MQ1X50TwP51SO6XF9i9S/1C97+bwpQzs2TX0ffTF9Sf0OfUb+U1fiY+P0u/Gzu/i2zkd/4AN2lM/wFbw7p3/0ifUj8Ci7uw/f4VFxg/+L6zvGTbcZP1yqh+llv9NNeLfY91If0/VFe8A/XLqOXeQFepCd9fHgQvwah/ikH4o4lIfkcfGFH38/8a+L9o38O6JsaI2rIo+etXRqHFkW1lSUhEDqE+uDyAvOxS1eu7ZswtYTViXeLeY1/sIv9KG8bD1Av5veUFfzm/5GsU/n9+J6oPwOX67zXuu++ALfwB07up6f8Ia6jc6hY+HCfI3D++FeHsZr8jP9wX74UN/C+he96n3iQJ0G156rnqIv6D91iT6s/M0P9BzdDrfwhU/hWj0pDqzj4QdxQLe5X5zQVeo+fFRaJRkf+TKCvt8jP0h9cMdqG6vHzJyux4P64HhOnMAFHLjfeoM+uT7WV5cfvOdX8fceM2peMvyI1D+3DhGNEoVEHo4q/2LYs23y8LMuE6b37xjjdHjn+1p3j/64vP/Tr3fLQ/7oqgW7Qh6GdZs3tMnJeagaRtu0vo53rYs46mubhyO/wrG8BZfWJfiBzuH/KhhvSnU7vxXrdryp/qQb8KK4oQPkseJ6GD8av/iQp/lF/wHOxA2eh294NH95go6DMzoev5uHPOF5+FU+pmeK6wKew07iv9gnwCt4XL2kDinve+imi8pSnbyotOr8HT3FLuxtvOJeXMk/dCLdJN7oG7pfn0o9yT50Cx61LmQd03oov9KHcNt60h/X//iwFIfyGZ1Kd7Az/xfzNN0kL7jP89SL9Ayelv/FBf/Boz51sQ+tftX/8Fy6hK7Dz3jR++Qf9aT8zO5wKP7EG/+pJ+gLeKSf2Ic93jmv1LlO/Icv9W2K/TT3sdNZ0xZP3ueQtK9QfpKP4BsujEOfjT3MX/9afOPJa3fNaNYm4qf+pL9Hj+RhfaO+Jy5pkfgZzukAR7pPnmQf+QIfwA8/4w99LuMzD315vCdu8AW+wz/4TRyLP3rA8/CO9WdxLO7ZHS7xnzrAujf74QW4l6fwqHVveYMf6UF8DX/4kR6gr4r9YvOHG3WkdWm8JY/qC8EP3LO3PCT/wL04oBuK+ppuNC58Zvx0gniDFzqFHoJX8awegn960vzwFjvL8/aFuI/d+Vu9TH8Zj/fjv+I+OLoHD8O5uhYPuI6/2JcehUP9Gzrd/gTn+jHWNeQHukHdgg/xCX/DRXH9uKhL/tO+JOvG6m75Bq/if+MQh+xVXH/CS/iNXvAe/CGf2A8inuBCfrB+eUjFXQPvPT4PnWe0OO2cqOturhL8CQf4V1zjQ36CU7gWl3QEvOAR8ek54gq/0R2O6hNxZz54QH5iN/Ys6ij6Bd/jDTxnfsX1FfGnDhcX+hL4KWtUatzl4cFuT4y/oDzlT/frk+v/6Ns5Fw/F9Wu8Zvzwb17OxYf3qss8D7/on+vj6d/pG7oOvviXv8RLcb8Je/GX9xf5in3hQhzJo3cM/2jjSy3T/hU6TFyKR+OAH3WDeORPPGec+EwdJB5cX+w3q0/lT/HMX/haHoZb+te+N/oLfot9zTi5qTcfmebtPrxCpzpnT3En/o0bb8KfOJF3ivqiWKeLE/jS79An0b9WV+t396rdKFJU+v5gdtM7t14wO32H8JPujw5rtTDhid6wT4Bf+VO+ghv+L+5Tl1fkYefF9Qn9J/ldv9e+Df3IR8Zec8bik9MRT6qT1QP0Cz1XjHd1Cn/QHXi72C/WZ1e30M3WL+Qz19EZ9vvQCexDr/F3sc8kj4sbPC3+8SRdTn/SfeJHH1ZdpJ6He/4WH/zODvIjHpfH6AD1PXvBMR2GZ8QDXUQX8w9dCg/4UV3L3nQEnPv+xvqo/pRz/Gl9SLzYX2W9Er/iaXYRz+p1fOe7BHaG36KfxTH84d/i+gbd7Xn6RvilWI8ZD/0qv/qdvf3On0X70yPi2L4q8Qc3eNq5fKsut95u/PKQOFTXqrfsEzW/Yh/JPOCODmNfPKhuwpPihH2911H9rq5WN4ob/EbH6Iuoc+kvfUDxhQ/1zeUL9ad9aOxoPnSveOEfPCAeiroCPov9Ybwh7+NT60P+L+7DlyeL+6rwPt1tnMYtP8ARPhCnRb4v7utRX7IvXOjnyKv2b6iL9D0fWr690+xT8nB+tVKlEPPP2JFt7jszD6uaLFrWoGMeQsdSpZn8RLcU+0q/WXDtur8dleKx+L0APNHP7EsnwJN6RT7UByl+FySf8yvelQ/gmd3wh3oe38Mz/WKccGxdTp3B7+JKHinufyvu/6WLi/vw4cTR8+EXPvAonJiXebrf++lVfsA39MAztb6ddX+TxC/ikn4s7g+FL/cV8UZ/0qXuF//WPctK7aMjE148h73hQ33Gr+qAYr+XfR3pBXbA9/R+cb0Cruhf+yPsF7XOZr/CcaffPPO6RVk4ovpBj//otSwceOtb7z3znf0Nxe907VfQrxff9l/Iy9aD6CX7Zqz3/R9c0/kXc26LFkzfX7qefqcz8J84wl/wAmdFPpXnrT/qS1g3tJ6oP2F+/rdvw74L/7MHHWjdyn32YbFz291PR8Rl4cXo1d7PZaHL7Zvyh+emdc/nJ60ZNztP+ptfit/5qg/1zYr7GekXOtQ47d9gj/+0b53+dKSD8ETxO3D5FI/jJ7g2zuJ+JXzg/eIBL3ivuCmuz9At9IF9LfpK/GXeeEv9oQ4zPvj1v7pe3BW/67LOJD7ZvVgvOBqHfGhfLbyrA+QF+Vg+of/ZA27p3n2uf7hdu/kJV11PvzSWdFloeP2t3fvMzMKV99R84Jzns1AlQ17KwlvTSg2TtC/d0XeG9qXP3HzZqKkvp999j2idvfjdZTGe7VvU5y7ud2S3Ij7YAT6K3zXQIXQinqCbPLf4fbh4Ka4v003O+RtO8HHxexPvFy94x/olPrTeha/VU+aLz+CLXnefPofnih/zNc7i+IxHfUhny6f0arGPSk+qU4rfU4pD+RvuxZ28UOQbOsd4ja+4z5g97NOEe3bQt1ffLZ5WdkaHlSmePF8epuvxCPviPXWS+9jP+K0bwFUxL3tOsc7zHn41H/kKbviRn/Ch6+g5OkWdaB2B/uFf9Sn/6nfxOx0zriST2+Xhlmpfrfxz27TvYOryNT0r2qW+s/0Bzk+unNrhtGNTX9V3+vqD1tnUg8Xvdukl67d0rKN5GDc7qNPgj86kh/Ur/wkDcFWPAQAAAACAAADkbAAAVBgAAA==eJxN1G1o/fdZx/EGDmYJO7BJCg6ppLIpw6BQcBEL8+aAJRg8Iy5wTBo4EhMQHFJRhyOO3ZRu6Vi72R3+Y3VbgkOfnAdF9yDKupMS+qBCFztGwSOOMWUqE+sdVKmKewfe1/UJBF5Pf5/vdd733Xdx/fLOh372vu/9PffUF8q/+sDny2+dP1t+4ac/V37spc+Wf3hyr/z178zKH/mdz5QfGjxT/rs/+HT5mQc/VR4991T5P979yfKXXv5E+b2PPlkefPfj5S//3sfKJ296onz/vcfLL77jo+Xf/fKHyz8y+lB5/ke/Xx6+8IHy+775/vLX3vjt8o+/7bfKT7/rN8uv/fJvlN/z2K/Hzqex7XHsOY0Nj2K3w9hqEvvsxyZ7scM4vn03vnen/Oorv1Defm1Uvvfmnyv/1zvfXZ488nD5z3/tp8pv+8hPlj/wxYfKy6/8RPnh5Vb52dffWf6fjR8tP/rQ28vPjx8sP/C+Hyp/8MkfLH/zT36g/DMv3l/+4re/v3zffW+Jex7GDa/H3a7GrQ7iPlfKT0z/d6Efefb18pte/bfyS2/55/KTv/id8u4T3yoPX1iWv/bGN8pPv+u2/J7HXiq/dX5T/vp3ni8/8+BV+b2P/mn5/nvz8quv/HH53psvy5NHni2/7SOz8vIrT5efff28/OhDj5cfXp6Vnx8/tuj9Txa97UF59NwvlV98xyg23I7dtmKrzdhnIzZZK3/p5Te+2u97cf1Xf/HhO9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbt659PY9jj2nMaGR7HbYWw1iX32Y5O92GEc374b37tTpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWlX3/Mwbng97nY1bnUQ97lSpl2admnapWmXpl2advUtLcu0q2/mtky7+jZuyrSrb+CqTLv6redl2tVvelmmXf12szLt6jc6L9OufsezMu3q/U8Wve1BmXb1724UG27Hblux1WbssxGbrJVpV7/vxfXXf+yjd6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6Zdmnb1zqex7XHsOY0Nj2K3w9hqEvvsxyZ7scM4vn03vnenTLs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9Ouvudh3PB63O1q3Oog7nOlTLs07dK0S9MuTbs07epbWpZpV9/MbZl29W3clGlX38BVmXb1W8/LtKvf9LJMu/rtZmXa1W90XqZd/Y5nZdrV+58setuDMu3q390oNtyO3bZiq83YZyM2WSvTrn7fi+tv/OHjd6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6Zdmnb1zqex7XHsOY0Nj2K3w9hqEvvsxyZ7scM4vn03vnenTLs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9Ouvudh3PB63O1q3Oog7nOlTLs07dK0S9MuTbs07epbWpZpV9/MbZl29W3clGlX38BVmXb1W8/LtKvf9LJMu/rtZmXa1W90XqZd/Y5nZdrV+58setuDMu3q390oNtyO3bZiq83YZyM2WSvTrn7fi+tXh0/cmXZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2tU7n8a2x7HnNDY8it0OY6tJ7LMfm+zFDuP49t343p0y7dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbv6nodxw+txt6txq4O4z5Uy7dK0S9MuTbs07dK0q29pWaZdfTO3ZdrVt3FTpl19A1dl2tVvPS/Trn7TyzLt6reblWlXv9F5mXb1O56VaVfvf7LobQ/KtKt/d6PYcDt224qtNmOfjdhkrUy7+n0vrv/6gx+7M+3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StKt3Po1tj2PPaWx4FLsdxlaT2Gc/NtmLHcbx7bvxvTtl2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6Zdmnb1PQ/jhtfjblfjVgdxnytl2qVpl6ZdmnZp2qVpV9/Ssky7+mZuy7Srb+OmTLv6Bq7KtKvfel6mXf2ml2Xa1W83K9OufqPzMu3qdzwr067e/2TR2x6UaVf/7kax4XbsthVbbcY+G7HJWpl29fteXP/Nax+/M+3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StKt3Po1tj2PPaWx4FLsdxlaT2Gc/NtmLHcbx7bvxvTtl2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6Zdmnb1PQ/jhtfjblfjVgdxnytl2qVpl6ZdmnZp2qVpV9/Ssky7+mZuy7Srb+OmTLv6Bq7KtKvfel6mXf2ml2Xa1W83K9OufqPzMu3qdzwr067e/2TR2x6UaVf/7kax4XbsthVbbcY+G7HJWpl29fteXP/t9Mk70y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5Nu3rn09j2OPacxoZHsdthbDWJffZjk73YYRzfvhvfu1OmXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaVff8zBueD3udjVudRD3uVKmXZp2adqlaZemXZp29S0ty7Srb+a2TLv6Nm7KtKtv4KpMu/qt52Xa1W96WaZd/XazMu3qNzov065+x7My7er9Txa97UGZdvXvbhQbbsduW7HVZuyzEZuslWlXv+/F9bde+cSdaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXb3zaWx7HHtOY8Oj2O0wtprEPvuxyV7sMI5v343v3SnTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StKvveRg3vB53uxq3Ooj7XCnTLk27NO3StEvTLk27+paWZdrVN3Nbpl19Gzdl2tU3cFWmXf3W8zLt6je9LNOufrtZmXb1G52XaVe/41mZdvX+J4ve9qBMu/p3N4oNt2O3rdhqM/bZiE3WyrSr3/fi+ts//8k70y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5Nu3rn09j2OPacxoZHsdthbDWJffZjk73YYRzfvhvfu1OmXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaVff8zBueD3udjVudRD3uVKmXZp2adqlaZemXZp29S0ty7Srb+a2TLv6Nm7KtKtv4KpMu/qt52Xa1W96WaZd/XazMu3qNzov065+x7My7er9Txa97UGZdvXvbhQbbsduW7HVZuyzEZuslWlXv+/F9d//2VN3pl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2advXOp7Htcew5jQ2PYrfD2GoS++zHJnuxwzi+fTe+d6dMuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL066+52Hc8Hrc7Wrc6iDuc6VMuzTt0rRL0y5NuzTt6ltalmlX38xtmXb1bdyUaVffwFWZdvVbz8u0q9/0sky7+u1mZdrVb3Repl39jmdl2tX7nyx624My7erf3Sg23I7dtmKrzdhnIzZZK9Ouft+L6394+6fuTLs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07eqdT2Pb49hzGhsexW6HsdUk9tmPTfZih3F8+258706ZdmnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl19z8O44fW429W41UHc50qZdmnapWmXpl2admna1be0LNOuvpnbMu3q27gp066+gasy7eq3npdpV7/pZZl29dvNyrSr3+i8TLv6Hc/KtKv3P1n0tgdl2tW/u1FsuB27bcVWm7HPRmyyVqZd/b4X1/80+/SdaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXb3zaWx7HHtOY8Oj2O0wtprEPvuxyV7sMI5v343v3SnTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StKvveRg3vB53uxq3Ooj7XCnTLk27NO3StEvTLk27+paWZdrVN3Nbpl19Gzdl2tU3cFWmXf3W8zLt6je9LNOufrtZmXb1G52XaVe/41mZdvX+J4ve9qBMu/p3N4oNt2O3rdhqM/bZiE3WyrSr3/fi+rvf98ydaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXb3zaWx7HHtOY8Oj2O0wtprEPvuxyV7sMI5v343v3SnTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StKvveRg3vB53uxq3Ooj7XCnTLk27NO3StEvTLk27+paWZdrVN3Nbpl19Gzdl2tU3cFWmXf3W8zLt6je9LNOufrtZmXb1G52XaVe/41mZdvX+J4ve9qBMu/p3N4oNt2O3rdhqM/bZiE3WyrSr3/fi+l/e/5k70y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5Nu3rn09j2OPacxoZHsdthbDWJffZjk73YYRzfvhvfu1OmXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaVff8zBueD3udjVudRD3uVKmXZp2adqlaZemXZp29S0ty7Srb+a2TLv6Nm7KtKtv4KpMu/qt52Xa1W96WaZd/XazMu3qNzov065+x7My7er9Txa97UGZdvXvbhQbbsduW7HVZuyzEZuslWlXv+/F9b/+4+zOtEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTrt75NLY9jj2nseFR7HYYW01in/3YZC92GMe378b37pRpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2tX3PIwbXo+7XY1bHcR9rpRpl6ZdmnZp2qVpl6ZdfUvLMu3qm7kt066+jZsy7eobuCrTrn7reZl29ZtelmlXv92sTLv6jc7LtKvf8axMu3r/k0Vve1CmXf27G8WG27HbVmy1GftsxCZrZdrV73tx/e+/cu/OtEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTrt75NLY9jj2nseFR7HYYW01in/3YZC92GMe378b37pRpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2tX3PIwbXo+7XY1bHcR9rpRpl6ZdmnZp2qVpl6ZdfUvLMu3qm7kt066+jZsy7eobuCrTrn7reZl29ZtelmlXv92sTLv6jc7LtKvf8axMu3r/k0Vve1CmXf27G8WG27HbVmy1GftsxCZrZdrV73tx/Z9/+dk70y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5Nu3rn09j2OPacxoZHsdthbDWJffZjk73YYRzfvhvfu1OmXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaVff8zBueD3udjVudRD3uVKmXZp2adqlaZemXZp29S0ty7Srb+a2TLv6Nm7KtKtv4KpMu/qt52Xa1W96WaZd/XazMu3qNzov065+x7My7er9Txa97UGZdvXvbhQbbsduW7HVZuyzEZuslWlXv+/F9esPf+7OtEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTrt75NLY9jj2nseFR7HYYW01in/3YZC92GMe378b37pRpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2tX3PIwbXo+7XY1bHcR9rpRpl6ZdmnZp2qVpl6ZdfUvLMu3qm7kt066+jZsy7eobuCrTrn7reZl29ZtelmlXv92sTLv6jc7LtKvf8axMu3r/k0Vve1CmXf27G8WG27HbVmy1GftsxCZrZdrV73tx/d/zZ+9MuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt6p1PY9vj2HMaGx7Fboex1ST22Y9N9mKHcXz7bnzvTpl2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXX3Pw7jh9bjb1bjVQdznSpl2adqlaZemXZp2adrVt7Qs066+mdsy7erbuCnTrr6BqzLt6reel2lXv+llmXb1283KtKvf6LxMu/odz8q0q/c/WfS2B2Xa1b+7UWy4HbttxVabsc9GbLJWpl39vhfXbzzw+TvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27eufT2PY49pzGhkex22FsNYl99mOTvdhhHN++G9+7U6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpV9/zMG54Pe52NW51EPe5UqZdmnZp2qVpl6Zdmnb1LS3LtKtv5rZMu/o2bsq0q2/gqky7+q3nZdrVb3pZpl39drMy7eo3Oi/Trn7HszLt6v1PFr3tQZl29e9uFBtux25bsdVm7LMRm6yVaVe/78X1/z31hTvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27eufT2PY49pzGhkex22FsNYl99mOTvdhhHN++G9+7U6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpV9/zMG54Pe52NW51EPe5UqZdmnZp2qVpl6Zdmnb1LS3LtKtv5rZMu/o2bsq0q2/gqky7+q3nZdrVb3pZpl39drMy7eo3Oi/Trn7HszLt6v1PFr3tQZl29e9uFBtux25bsdVm7LMRm6yVaVe/78X19/7vTLs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07eqdT2Pb49hzGhsexW6HsdUk9tmPTfZih3F8+258706ZdmnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl19z8My7eq7XS3Trr7PlTLt0rRL0y5NuzTt0rSrb2lZpl19M7dl2tW3cVOmXX0DV2Xa1W89L9OuftPLMu3qt5uVaVe/0XmZdvU7npVpV+9/suhtD8q0q393o9hwO3bbiq02Y5+N2GStTLv0/wNYhLaqAwAAAACAAAAAEwAAohUAAJoVAABvAwAAeJxd3dUTQFXZRnFP0N3d3d3d3d3dqYAgJYLSoXR3l9LdCkooqXQrLSkd38V3fhfvc26emTXrH1h75uz9s5/9/9cMu+OwOwRvh90pPLwbdufw8H7YXcLDRxh21/DwEYfdLTx8pGF3Dw8fedg9wsNHGXbP8PBRh90rPHy0YfcODx992J+Hh48x7C/Cw8ccdp/w8LGG3Tc8fOxh9wsPH2fYX4aHjzvs/uHh4w17QHj4+MP+Kjx8gmEPDA+fcNiDwsMnGvbg8PCJhz0kPHySYQ8ND5902F+Hh0827GHh4ZMP+5vw8CmGPTw8fMphjwgPn2rY34aHTz3s78LDpxn2yPDwaYc9Kjx8umGPDg+ffthjwsNnGPbY8PAZhz0uPHymYY8PD5952BPCw2cZ9sTw8FmHPSk8fLZhfx8ePvuwfwgPn2PYk8PD5xz2lPDwuYY9NTx87mFPCw+fZ9jTw8PnHfaM8PD5hj0zPHz+Yc8KD19g2LPDwxcc9pzw8IWGPTc8fOFhzwsPX2TY88PDFx32gvDwxYa9MDx88WEvCg9fYtiLw8OXHPaS8PClhr00PHzpYS8LD19m2MvDw5cd9orw8OWGvTI8fPlhrwoPX2HYq8PDVxz2mvDwlYa9Njx85WGvCw9fZdjrw8NXHfaP4eGrDfun8PDVh70hPHyNYW8MD19z2JvCw9ca9ubw8LWHvSU8fJ1hbw0PX3fY28LD1xv29vDw9Ye9Izx8g2HvDA/fcNi7wsM3Gvbu8PCNh70nPHyTYe8ND9902PvCwzcb9v7w8M2HfSA8fIthHwwP33LYh8LDtxr2z+HhWw/7l/DwbYZ9ODx822EfCQ/fbti/hodvP+zfwtMZeuKxYR8NriceDw/XE0+Eh+uJv4eH64l/hIfriSfDw/XEU+HheuLp8HA98Ux4uJ54NjxcTzwXHq4n/hkerif+FR6uJ54PD9cTL4SH64kXw8P1xEvh4Xri5fBwPfFKeLieeDU8XE+8Fh6uJ14PD9cTb4SH64k3w8P1xFvh4Xri7fDww4b9d3i4nvhPeLieeCc8XE+8Gx6uJ94LD9cT74eH64kPwsP1xIfh4Xrio/BwPfHf8HA98XF4uJ74JDxcT3waHq4nPgsP1xOfh4friS/Cw/XE/8LD9cSX4eF64qvwcD3xdXi4nvgmPFxPfBserie+Cw/XE9+Hh+uJH8LD9cSP4eF64qfwcD3hQOyn4HqiaaqH64m2qR6uJ7qmerie6Jvq4RcOO0JTPVxPjNhUD9cTIzXVw/XEyE31cD0xSlM9XE+M2lQP1xOjNdXD9cToTfVwPTFGUz1cT4zZVA/XE2M11cP1xNhN9XA9MU5TPVxPjNtUD9cT4zXVw/XE+E31cD0xQVM9XE9M2FQP1xMTNdXD9cTETfVwPTFJUz1cT0zaVA/XE5M11cP1xORN9XA9MUVTPVxPTNlUD9cTUzXVw/XE1E31cD0xTVM9XE9M21QP1xPTNdXD9cT0TfXw+4edoakeridmbKqH64mZmurhemLmpnq4npilqR6uJ2Ztqofridma6uF6YvameriemKOpHq475myqpzP0xNwDn6upXE/M01QP1xPzNtXD9cR8TfVwPTF/Uz1cTyzQVA/XEws21cP1xEJN9XA9sXBTPVxPLNJUD9cTizbVw/XEYk31cD2xeFM9XE8s0VQP1xNLNtXD9cRSTfVwPbF0Uz1cTyzTVA/XE8s21cP1xHJN9XA9sXxTPfz1YVdoqoe/MeyKTfVwPbFSUz1cT6zcVA/XE6s01cP1xKpN9XA9sVpTPVxPrN5UD9cTazTVw/XEmk31cD2xVlM9XE+s3VQP1xPrNNXD9cS6TfVwPbFeUz1cT6zfVA/XExs01cP1xIZN9XA9sVFTPVxPbNxUD9cTmzTVw/XEpk31cD2xWVM9XE9s3lQP1xNbNNXD9cSWTfVwPbFVUz1cT2zdVA/XE9s01cP1xLZN9XA9sV1TPVxPbN9UD9cTOzTVw/XEjuHhemKn8HA9sXN4uJ7YJTxcT+waHq4ndgsP1xO7h4friT3Cw/XEnuHhemKv8HA9sXd4uJ74eXi4nvhFeLie2Cc8XE/sGx6uJ/YLD9cTvwwP1xP7h4friQPCw/XEr8LD9cSB4eF64qDwcD1xcHi4njgkPFxPHBoerid+HR6uJw4LD9cTvwkP1xOHh4friSPCw/XEb8PD9cTvwsP1xJHh4XriqPBwPXF0eLieOCY8XE8cGx6uJ44LD9cTx4eH64kTwsP1xInh4XripPBwPfH78HA98YfwcD1xcni47jglPJ2hJ04b9tTgeuL08HA9cUZ4uJ44MzxcT5wVHq4nzg4P1xPnhIfriXPDw/XEeeHheuL88HA9cUF4uJ64MDxcT1wUHq4nLg4P1xOXhIfriUvDw/XEZeHheuLy8HA9cUV4uJ64MjxcT1wVHq4nrg4P1xPXhIfriWvDw/XEdeHheuL68HA98cfwcD3xp/BwPXFDeLieuDE8XE/cFB6uJ24OD9cTt4SH64lbw8P1xG3h4Xri9vBwPXFHeLieuDM8XE/cFR6uJ+4OD9cT94SH64l7w8P1xH3h4Xri/vBwPfFAeLieeDA8XE88FB6uJ/4cHq4n/hIericeDg/XE4+Eh+uJv4aH64m/hYfriUfDw/XEY+HheuLx8HA98UR4uJ74e3i4nvhHeLieeDI8XE88FR6uJ54OD9cTz4SH64lnw8P1xHPh4Xrin+HheuJf4eF64vnwcD3xQni4nngxPFxPvBQerideDg/XE6+Eh+uJV8PD9cRr4eF64vXwcD3xRni4nngzPFxPvBUerifeDg/XE/8OD9cT/wkP1xPvhIfriXfDw/XEe+HheuL98HA98UF4uJ74MDxcT3wUHq4n/hseric+Dg/XE5+Eh+uJT8PD9cRn4eF64vPwcD3xRXi4nvhfeLie+DI8XE98FR6uO74OT2foiW+H/Sa4nvguPFxPfB8erid+CA/XEz+Gh+uJn8LD9YQfUn4Krieatnq4nmjb6uF6omurh+uJvq0eridGaKuH64kR2+rhemKktnq4nhi5rR6uJ0Zpq4friVHb6uF6YrS2erieGL2tHq4nxmirh+uJMdvq4XpirLZ6uJ4Yu60erifGaauH64lx2+rhemK8tnq4nhi/rR6uJyZoq4friQnb6uF6YqK2eriemLitHq4nJmmrh+uJSdvq4XpisrZ6uJ6YvK0eriemaKuH64kp2+rhemKqtnq4npi6rR6uJ6Zpq4friWnb6uF6Yrq2eriemL6tHq4nZmirh+uJGdvq4XpiprZ6uJ6Yua0eridmaauH64lZ2+rhemK2tnq4npi9rR6uJ+Zoq4friTnb6uF6Yq62eriemLutHq4n5mmrh+uJedvq4XpivrZ6uJ6Yv60ericWaKuH64kF2+rhemKhtnq4nli4rR6uJxZpq4friUXb6uF6YrG2erieWLytHq4nlmirh+uJJdvq4XpiqbZ6uJ5Yuq0erieWaauH64ll2+rhemK5tnq4nli+rR6uJ1Zoq4friRXb6uF6YqW2erieWLmtHq4nVmmrh+uJVdvq4XpitbZ6uJ5Yva0erifWaKuH64k12+rhemKttnq4nli7rR6uJ9Zpq4friXXb6uF6Yr22erieWL+tHq4nNmirh+uJDdvq4Xpio7Z6uJ7YuK0eric2aauH64lN2+rhemKztnq4nti8rR6uO7Zoq6cz9MRWA9+yrVxPbN1WD9cT27TVw/XEtm31cD2xXVs9XE9s31YP1xM7tNXD9cSO4eF6YqfwcD2xc3i4ntglPFxP7Boerid2Cw/XE7uHh+uJPcLD9cSe4eF6Yq/wcD2xd3i4nvh5eLie+EV4uJ7YJzxcT+wbHq4n9gsP1xO/DA/XE/uHh+uJA8LD9cSvwsP1xIHh4XrioPBwPXFweLieOCQ8XE8cGh6uJ34dHq4nDgsP1xO/CQ/XE4eHh+uJI8LD9cRvw8P1xO/Cw/XEkeHheuKo8HA9cXR4uJ44JjxcTxwbHq4njgsP1xPHh4friRPCw/XEieHheuKk8HA98fvwcD3xh/BwPXFyeLieOCU8XE+cGh6uJ04LD9cTp4eH64kzwsP1xJnh4XrirPBwPXF2eLieOCc8XE+cGx6uJ84LD9cT54eH64kLwsP1xIXh4XriovBwPXFxeLieuCQ8XE9cGh6uJy4LD9cTl4eH64krwsP1xJXh4XriqvBwPXF1eLieuCY8XE9cGx6uJ64LD9cT14eH64k/hofriT+Fh+uJG8LD9cSN4eF64qbwcD1xc3i4nrglPFxP3BoeriduCw/XE7eHh+uJO8LD9cSd4eF64q7wcD1xd3i4nrgnPFxP3BserifuCw/XE/eHh+uJB8LDdceD4ekMPfHnYR8Krif+Eh6uJx4OD9cTj4SH64m/hofrib+Fh+uJR8PD9cRj4eF64vHwcD3xRHi4nvh7eLie+Ed4uJ54MjxcTzwVHq4nng4P1xPPhIfriWfDw/XEc+HheuKf4eF64l/h4Xri+fBwPfFCeLieeDE8XE+8FB6uJ14OD9cTr4SH64lXw8P1xGvh4Xri9fBwPfFGeLieeDM8XE+8FR6uJ94OD9cT/w4P1xP/CQ/XE++Eh+uJd8PD9cR74eF64v3wcD3xQXi4nvgwPFxPfBQerif+Gx6uJz4OD9cTn4SH64lPw8P1xGfh4Xri8/BwPfFFeLie+F94uJ74MjxcT3wVHq4nvg4P1xPfhIfriW/Dw/XEd+HheuL78HA98UN4uJ74MTxcT/wUHq4nXBj5U3A90XTVw/VE21UP1xNdVz1cT/Rd9XA9MUJXPVxPjNhVD9cTI3XVw/XEyF31cD0xSlc9XE+M2lUP1xOjddXD9cToXfVwPTFGVz1cT4zZVQ/XE2N11cP1xNhd9XA9MU5XPVxPjNtVD9cT43XVw/XE+F31cD0xQVc9XE9M2FUP1xMTddXD9cTEXfVwPTFJVz1cT0zaVQ/XE5N11cP1xORd9XA9MUVXPVxPTNlVD9cTU3XVw/XE1F31cD0xTVc9XE9M21UP1xPTddXD9cT0XfVwPTFDVz1cT8zYVQ/XHTN11dMZemKWgc/cVa4nZu2qh+uJ2brq4Xpi9q56uJ6Yo6serifm7KqH64m5uurhemLurnq4npinqx6uJ+btqofrifm66uF6Yv6uerieWKCrHq4nFuyqh+uJhbrq4Xpi4a56uJ5YpKsericW7aqH64nFuurhemLxrnq4nliiqx6uJ5bsqofriaW66uF6YumuerieWKarHq4nlu2qh+uJ5brq4Xpi+a56uJ5YoaseridW7KqH64mVuurhemLlrnq4nlilqx6uJ1btqofridW66uF6YvWuerieWKOrHq4n1uyqh+uJtbrq4Xpi7a56uJ5Yp6serifW7aqH64n1uurhemL9rnq4ntigqx6uJzbsqofriY266uF6YuOuerie2KSrHq4nNu2qh+uJzbrq4Xpi8656uJ7Yoqserie27KqH64mtuurhemLrrnq4ntimqx6uJ7btqofrie266uF6Yvuuerie2KGrHq4ndgwP1xM7hYfriZ3Dw/XELuHhemLX8HA9sVt4uJ7YPTxcT+wRHq4n9gwP1xN7hYfrib3Dw/XEz8PD9cQvwsP1xD7h4Xpi3/BwPbFfeLie+GV4uJ7YPzxcTxwQHq4nfhUericODA/XEweFh+uJg8PD9cQh4eF64tDwcD3x6/BwPXFYeLie+E14uJ44PDxcTxwRHq4nfhserid+Fx6uJ44MD9cTR4WH64mjw8P1xDHh4Xri2PBwPXFceLjuOD48naEnThz2hOB64qTwcD3x+/BwPfGH8HA9cXJ4uJ44JTxcT5waHq4nTgsP1xOnh4friTPCw/XEmeHheuKs8HA9cXZ4uJ44JzxcT5wbHq4nzgsP1xPnh4friQvCw/XEheHheuKi8HA9cXF4uJ64JDxcT1waHq4nLgsP1xOXh4friSvCw/XEleHheuKq8HA9cXV4uJ64JjxcT1wbHq4nrgsP1xPXh4friT+Gh+uJP4WH64kbwsP1xI3h4XripvBwPXFzeLieuCU8XE/cGh6uJ24LD9cTt4eH64k7wsP1xJ3h4XrirvBwPXF3eLieuCc8XE/cGx6uJ+4LD9cT94eH64kHwsP1xIPh4XriofBwPfHn8HA98ZfwcD3xcHi4nngkPFxP/DU8XE/8LTxcTzwaHq4nHgsP1xOPh4friSfCw/XE38PD9cQ/wsP1xJPh4XriqfBwPfF0eLieeCY8XE88Gx6uJ54LD9cT/wwP1xP/Cg/XE8+Hh+uJF8LD9cSL4eF64qXwcD3xcni4nnglPFxPvBoerideCw/XE6+Hh+uJN8LD9cSb4eF64q3wcD3xdni4nvh3eLie+E94uJ54JzxcT7wbHq4n3gsP1xPvh4friQ/Cw/XEh+HheuKj8HA98d/wcD3xcXi4nvgkPFx3fBqeztATnw/7WXA98UV4uJ74X3i4nvgyPFxPfBUerie+Dg/XE9+Eh+uJb8PD9cR34eF64vvwcD3xQ3i4nvgxPFxP/BQeric82PhTcD3R9NXD9UTbVw/XE11fPVxP9H31cD0xQl89XE+M2FcP1xMj9dXD9cTIffVwPTFKXz1cT4zaVw/XE6P11cP1xOh99XA9MUZfPVxPjNlXD9cTY/XVw/XE2H31cD0xTl89XE+M21cP1xPj9dXD9cT4ffVwPTFBXz1cT0zYVw/XExP11cP1xMR99XA9MUlfPVxPTNpXD9cTk/XVw/XE5H31cD0xRV89XE9M2VcP1xNT9dXD9cTUffVwPTFNXz1cT0zbVw/XE9P11cP1xPR99XA9MUNfPVxPzNhXD9cTM/XVw/XEzH31cD0xS189XE/M2lcP1xOz9dXD9cTsffVwPTFHXz1cT8zZVw/XE3P11cP1xNx99XA9MU9fPVxPzNtXD9cT8/XVw/XE/H31cD2xQF89XE8s2FcP1xML9dXD9cTCffVwPbFIXz1cTyzaVw/XE4v11cP1xOJ99XA9sURfPVxPLNlXD9cTS/XVw/XE0n31cD2xTF89XE8s21cP1xPL9dXD9cTyffVwPbFCXz1cT6zYVw/XEyv11cP1xMp99XA9sUpfPVxPrNpXD9cTq/XVw/XE6n31cD2xRl89XE+s2VcP1xNr9dXD9cTaffVwPbFOXz1cT6zbVw/XE+v11cP1xPp99XA9sUFfPVx3bNhXT2foiY0HvlFfuZ7YpK8eric27auH64nN+urhemLzvnq4ntiirx6uJ7bsq4fria366uF6Yuu+erie2KavHq4ntu2rh+uJ7frq4Xpi+756uJ7Yoa8erid2DA/XEzuFh+uJncPD9cQu4eF6YtfwcD2xW3i4ntg9PFxP7BEerif2DA/XE3uF938YiQYReJxd11MTgIe5ReGkzYfGtm3btm3bttGkjW2rDao4RWyzjZ02aeO0cXJmznzPxbv3zZ5Zs/7AGnmkEf5/owy/5/B7BB91+L3Cw0cbfu/w8NGH3yc8fIzh9w0PH3P4/cLDxxp+//DwsYc/IDx8nOEPDA8fd/iDwsPHG/7g8PDxhz8kPHyC4Q8ND59w+MPCwyca/vDw8ImHPyI8fJLhjwwPn3T4o8LDJxv+6PDwyYc/Jjx8iuGPDQ+fcvjjwsOnGv6X4eFTD398ePg0w58QHj7t8L8KD59u+F+Hh08//Inh4TMMf1J4+IzDnxwePtPwp4SHzzz8qeHhswx/Wnj4rMOfHh4+2/BnhIfPPvyZ4eFzDH9WePicw58dHj7X8OeEh889/Lnh4fMMf154+LzDnx8ePt/wF4SHzz/8heHhCwx/UXj4gsNfHB6+0PCXhIcvPPyl4eGLDH9ZePiiw18eHr7Y8FeEhy8+/JXh4UsMf1V4+JLDXx0evtTw14SHLz38teHhywz/m/DwZYf/bXj4csNfFx6+/PDXh4evMPwN4eErDn9jePhKw/8uPHzl4X8fHr7K8H8ID191+D+Gh682/J/Cw1cf/qbw8DWGvzk8fM3hbwkPX2v4W8PD1x7+tvDwdYa/PTx83eHvCA9fb/g7w8PXH/7P4W0w/IbD/3X4vwTfaPi/hYdvPPxd4eGbDH93ePimw98THr7Z8PeGh28+/H3h4VsMf394+JbDPxAevtXwD4aHbz38Q+Hh2wz/cHj4tsM/Eh6+3fCPhodvP/xj4eE7DP94ePiOwz8RHr7T8E+Gh+88/FPh4bsM/3R4+K7DPxMevtvwz4aH7z78c+HheuL58HA98UJ4uJ54MTxcT/w9PFxP/CM8XE+8FB6uJ14OD9cTr4SH64lXw8P1xGvh4Xri9fBwPfFGeLieeDM8XE+8FR6uJ94OD9cT74SH64l3w8P1xHvh4Xri/fBwPfHP8HA98a/wcD3xQXi4nvgwPFxP/Ds8XE/8JzxcT3wUHq4nPg4P1xOfhIfriU/Dw/XEZ+HheuLz8HA98UV4uJ74MjxcT/w3PFxP/C88XE98FR6uJ74OD9cT34SH64lvw8P1xHfh4Xri+/BwPfFDeLie+DE8XE/8FB6uJ0ZoqofriRGb6uF64mdN9XA98fOmerieGKmpHq4nmqZ6uJ5om+rheqJrqofrib6pHq4nftFUD9cTIzfVw/XEKE31cD0xalM9XE+M1lQP1xOjN9XD9cQYTfVwPTFmUz1cT4zVVA/XE2M31cP1xDhN9XA9MW5TPVxPjNdUD9cT4zfVw/XEBE31cD0xYVM9XE9M1FQP1xMTN9XD9cQkTfVwPTFpUz1cT0zWVA/XE5M31cP1xBRN9XDdMWVTPZ2hJ6Ye+FRN5XpimqZ6uJ6Ytqkeriema6qH64npm+rhemKGpnq4npixqR6uJ2ZqqofriZmb6uF6YpameriemLWpHq4nZmuqh+uJ2Zvq4XpijqZ6uJ6Ys6kerifmaqqH64m5m+rhemKepnq4npi3qR6uJ+Zrqofrifmb6uF6YoGmerieWLCpHq4nFmqqh+uJhZvq4XpikaZ6uJ5YtKkericWa6qH64nFm+rhemKJpnq4nliyqR6uJ5ZqqofriaWb6uF6YpmmerieWLapHq4nlmuqh+uJ5Zvq4XpihaZ6uJ5YsakeridWaqqH64mVm+rhemKVpnq4nli1qR6uJ1ZrqofridWb6uF6Yo2merieWLOpHq4n1mqqh+uJtZvq4XpinaZ6uJ5Yt6kerifWa6qH64n1m+rhemKDpnq4ntiwqR6uJzZqqofriY2b6uF6YpOmerie2LSpHq4nNmuqh+uJzZvq4Xpii6Z6uJ7Ysqkerie2aqqH64mtm+rhemKbpnq4nti2qR6uJ7Zrqofrie3Dw/XEDuHhemLH8HA9sVN4uJ7YOTxcT+wSHq4ndg0P1xO7hYfrid3Dw/XEHuHhemLP8HA9sVd4uJ7YOzxcT+wTHq4n9g0P1xP7hYfrif3Dw/XEAeHheuLA8HA9cVB4uJ44ODxcTxwSHq4nDg0P1xOHhYfricPDw/XEEeHheuLI8HA9cVR4uJ44OjxcTxwTHq4njg0P1x3Hhacz9MTxw/8yuJ44ITxcT/wqPFxP/Do8XE+cGB6uJ04KD9cTJ4eH64lTwsP1xKnh4XritPBwPXF6eLieOCM8XE+cGR6uJ84KD9cTZ4eH64lzwsP1xLnh4XrivPBwPXF+eLieuCA8XE9cGB6uJy4KD9cTF4eH64lLwsP1xKXh4XrisvBwPXF5eLieuCI8XE9cGR6uJ64KD9cTV4eH64lrwsP1xLXh4XriN+HheuK34eF64rrwcD1xfXi4nrghPFxP3Bgerid+Fx6uJ34fHq4n/hAerif+GB6uJ/4UHq4nbgoP1xM3h4friVvCw/XEreHheuK28HA9cXt4uJ64IzxcT9wZHq4n/hwerif+Eh6uJ/4aHq4n/hYerifuCg/XE3eHh+uJe8LD9cS94eF64r7wcD1xf3i4nnggPFxPPBgericeCg/XEw+Hh+uJR8LD9cSj4eF64rHwcD3xeHi4nngiPFxPPBkerieeCg/XE0+Hh+uJZ8LD9cSz4eF64rnwcD3xfHi4nnghPFxPvBgerif+Hh6uJ/4RHq4nXgoP1xMvh4friVfCw/XEq+HheuK18HA98Xp4uJ54IzxcT7wZHq4n3goP1xNvh4friXfCw/XEu+HheuK98HA98X54uJ74Z3i4nvhXeLie+CA8XHd8GJ7O0BP/Gf7fwfXER+HheuLj8HA98Ul4uJ74NDxcT3wWHq4nPg8P1xNfhIfriS/Dw/XEf8PD9cT/wsP1xFfh4Xri6/BwPfFNeLie+DY8XE98Fx6uJ74PD9cTP4SH64kfw8P1xE/h4XpihLZ6uJ4Ysa0erid+1lYP1xM/b6uH64mR2urheqJpq4fribatHq4nurZ6uJ7o2+rheuIXbfVwPTFyWz1cT4zSVg/XE6O21cP1xGht9XA9MXpbPVxPjNFWD9cTY7bVw/XEWG31cD0xdls9XE+M01YP1xPjttXD9cR4bfVwPTF+Wz1cT0zQVg/XExO21cP1xERt9XA9MXFbPVxPTNJWD9cTk7bVw/XEZG31cD0xeVs9XE9M0VYP1xNTttXD9cRUbfVwPTF1Wz1cT0zTVg/XE9O21cP1xHRt9XA9MX1bPVxPzNBWD9cTM7bVw/XETG31cD0xc1s9XE/M0lYP1xOzttXD9cRsbfVwPTF7Wz1cT8zRVg/XE3O21cP1xFxt9XA9MXdbPVxPzNNWD9cT87bVw/XEfG31cD0xf1s9XE8s0FYP1xMLttXD9cRCbfVwPbFwWz1cTyzSVg/XE4u21cP1xGJt9XA9sXhbPVxPLNFWD9cTS7bVw/XEUm31cD2xdFs9XE8s01YP1xPLttXD9cRybfVwPbF8Wz1cT6zQVg/XEyu21cP1xEpt9XA9sXJbPVxPrNJWD9cTq7bVw/XEam31cD2xels9XHes0VZPZ+iJtQa+Zlu5nli7rR6uJ9Zpq4friXXb6uF6Yr22erieWL+tHq4nNmirh+uJDdvq4Xpio7Z6uJ7YuK0eric2aauH64lN2+rhemKztnq4nti8rR6uJ7Zoq4friS3b6uF6Yqu2erie2LqtHq4ntmmrh+uJbdvq4Xpiu7Z6uJ7YPjxcT+wQHq4ndgwP1xM7hYfriZ3Dw/XELuHhemLX8HA9sVt4uJ7YPTxcT+wRHq4n9gwP1xN7hYfrib3Dw/XEPuHhemLf8HA9sV94uJ7YPzxcTxwQHq4nDgwP1xMHhYfriYPDw/XEIeHheuLQ8HA9cVh4uJ44PDxcTxwRHq4njgwP1xNHhYfriaPDw/XEMeHheuLY8HA9cVx4uJ74ZXi4njg+PFxPnBAerid+FR6uJ34dHq4nTgwP1xMnhYfriZPDw/XEKeHheuLU8HA9cVp4uJ44PTxcT5wRHq4nzgwP1xNnhYfribPDw/XEOeHheuLc8HA9cV54uJ44PzxcT1wQHq4nLgwP1xMXhYfriYvDw/XEJeHheuLS8HA9cVl4uJ64PDxcT1wRHq4nrgwP1xNXhYfriavDw/XENeHheuLa8HA98ZvwcD3x2/BwPXFdeLieuD48XE/cEB6uJ24MD9cTvwsP1xO/Dw/XE38ID9cTfwwP1xN/Cg/XEzeFh+uOm8PTGXri1uFvCa4nbgsP1xO3h4friTvCw/XEneHheuLP4eF64i/h4Xrir+HheuJv4eF64q7wcD1xd3i4nrgnPFxP3BserifuCw/XE/eHh+uJB8LD9cSD4eF64qHwcD3xcHi4nngkPFxPPBoericeCw/XE4+Hh+uJJ8LD9cST4eF64qnwcD3xdHi4nngmPFxPPBserieeCw/XE8+Hh+uJF8LD9cSL4eF64u/h4XriH+HheuKl8HA98XJ4uJ54JTxcT7waHq4nXgsP1xOvh4friTfCw/XEm+HheuKt8HA98XZ4uJ54JzxcT7wbHq4n3gsP1xPvh4friX+Gh+uJf4WH64kPwsP1xIfh4Xri3+HheuI/4eF64qPwcD3xcXi4nvgkPFxPfBoeric+Cw/XE5+Hh+uJL8LD9cSX4eF64r/h4Xrif+HheuKr8HA98XV4uJ74JjxcT3wbHq4nvgsP1xPfh4friR/Cw/XEj+HheuKn8HA9MUJXPVxPjNhVD9cTP+uqh+uJn3fVw/XESF31cD3RdNXD9UTbVQ/XE11XPVxP9F31cD3xi656uJ4YuaseridG6aqH64lRu+rhemK0rnq4nhi9qx6uJ8boqofriTG76uF6YqyuerieGLurHq4nxumqh+uJcbvq4XpivK56uJ4Yv6sericm6KqH64kJu+rhumOirno6Q09MMvCJu8r1xKRd9XA9MVlXPVxPTN5VD9cTU3TVw/XElF31cD0xVVc9XE9M3VUP1xPTdNXD9cS0XfVwPTFdVz1cT0zfVQ/XEzN01cP1xIxd9XA9MVNXPVxPzNxVD9cTs3TVw/XErF31cD0xW1c9XE/M3lUP1xNzdNXD9cScXfVwPTFXVz1cT8zdVQ/XE/N01cP1xLxd9XA9MV9XPVxPzN9VD9cTC3TVw/XEgl31cD2xUFc9XE8s3FUP1xOLdNXD9cSiXfVwPbFYVz1cTyzeVQ/XE0t01cP1xJJd9XA9sVRXPVxPLN1VD9cTy3TVw/XEsl31cD2xXFc9XE8s31UP1xMrdNXD9cSKXfVwPbFSVz1cT6zcVQ/XE6t01cP1xKpd9XA9sVpXPVxPrN5VD9cTa3TVw/XEml31cD2xVlc9XE+s3VUP1xPrdNXD9cS6XfVwPbFeVz1cT6zfVQ/XExt01cP1xIZd9XA9sVFXPVxPbNxVD9cTm3TVw/XEpl31cD2xWVc9XE9s3lUP1xNbdNXD9cSWXfVwPbFVVz1cT2zdVQ/XE9t01cP1xLZd9XA9sV1XPVxPbB8erid2CA/XEzuGh+uJncLD9cTO4eF6YpfwcD2xa3i4ntgtPFxP7B4erif2CA/XE3uGh+uJvcLD9cTe4eF6Yp/wcD2xb3i4ntgvPFxP7B8ericOCA/XEweGh+uJg8LD9cTB4eF64pDwcD1xaHi4njgsPFx3HB6eztATRw5/RHA9cVR4uJ44OjxcTxwTHq4njg0P1xPHhYfriV+Gh+uJ48PD9cQJ4eF64lfh4Xri1+HheuLE8HA9cVJ4uJ44OTxcT5wSHq4nTg0P1xOnhYfridPDw/XEGeHheuLM8HA9cVZ4uJ44OzxcT5wTHq4nzg0P1xPnhYfrifPDw/XEBeHheuLC8HA9cVF4uJ64ODxcT1wSHq4nLg0P1xOXhYfricvDw/XEFeHheuLK8HA9cVV4uJ64OjxcT1wTHq4nrg0P1xO/CQ/XE78ND9cT14WH64nrw8P1xA3h4XrixvBwPfG78HA98fvwcD3xh/BwPfHH8HA98afwcD1xU3i4nrg5PFxP3BIeriduDQ/XE7eFh+uJ28PD9cQd4eF64s7wcD3x5/BwPfGX8HA98dfwcD3xt/BwPXFXeLieuDs8XE/cEx6uJ+4ND9cT94WH64n7w8P1xAPh4XriwfBwPfFQeLieeDg8XE88Eh6uJx4ND9cTj4WH64nHw8P1xBPh4XriyfBwPfFUeLieeDo8XE88Ex6uJ54ND9cTz4WH64nnw8P1xAvh4XrixfBwPfH38HA98Y/wcD3xUni4nng5PFxPvBIerideDQ/XE6+Fh+uJ18PD9cQb4eF64s3wcD3xVni4nng7PFx3vBOeztAT7w3/bnA98X54uJ74Z3i4nvhXeLie+CA8XE98GB6uJ/4dHq4n/hMeric+Cg/XEx+Hh+uJT8LD9cSn4eF64rPwcD3xeXi4nvgiPFxPfBkerif+Gx6uJ/4XHq4nvgoP1xNfh4friW/Cw/XEt+HheuK78HA98X14uJ74ITxcT/wYHq4nfgoP1xMj9NXD9cSIffVwPfGzvnq4nvh5Xz1cT4zUVw/XE01fPVxPtH31cD3R9dXD9UTfVw/XE7/oq4friZH76uF6YpS+erieGLWvHq4nRuurh+uJ0fvq4XpijL56uJ4Ys68erifG6quH64mx++rhemKcvnq4nhi3rx6uJ8brq4frifH76uF6YoK+eriemLCvHq4nJuqrh+uJifvq4Xpikr56uJ6YtK8ericm66uH64nJ++rhemKKvnq4npiyrx6uJ6bqq4frian76uF6Ypq+eriemLavHq4npuurh+uJ6fvq4Xpihr56uJ6Ysa8eridm6quH64mZ++rhemKWvnq4npi1rx6uJ2brq4fridn76uF6Yo6+eriemLOvHq4n5uqrh+uJufvq4Xpinr56uJ6Yt68erifm66uH64n5++rhemKBvnq4nliwrx6uJxbqq4friYX76uF6YpG+erieWLSvHq4nFuurh+uJxfvq4Xpiib56uJ5Ysq8erieW6quH64ml++rhemKZvnq4nli2rx6uJ5brq4frieX76uF6YoW+erjuWLGvns7QEysPfKW+cj2xSl89XE+s2lcP1xOr9dXD9cTqffVwPbFGXz1cT6zZVw/XE2v11cP1xNp99XA9sU5fPVxPrNtXD9cT6/XVw/XE+n31cD2xQV89XE9s2FcP1xMb9dXD9cTGffVwPbFJXz1cT2zaVw/XE5v11cP1xOZ99XA9sUVfPVxPbNlXD9cTW/XVw/XE1n31cD2xTV89XE9s21cP1xPb9dXD9cT24eF6YofwcD2xY3i4ntgpPFxP7Bwerid2CQ/XE7uGh+uJ3cLD9cTu4eF6Yo/wcD2xZ3i4ntgrPFxP7B0erif2CQ/XE/uGh+uJ/cLD9cT+4eF64oDwcD1xYHi4njgovP8D1M9KcXicXZdnFxBiAEZTpNfWQbYyKw17k8pOVoOkjMgmm0io7FmoZBQZFRmlzGwVsveWvXdG1jnOcz+89/lyz7nn/oFnmSYN/t+y4cDwNPnlwtPV4ZuFZ6jDLx8OUodfITxTHX7FcLA6/ErhWerwK4dnq8OvEp6jDr9qOEQdfrVwqDp883CYOnyL8Fx1+NXD89Th1wjPV4dfM7xAHX6t8EJ1+LXDi9Th1wkvVodvGV6iDt8qvFQdvnV4mTr8uuHl6vBtwivU4duGw9Xh24Uj1OHbh1eqw68XXqUOv354tTr8BuFIdfgNw1Hq8BuFo9XhNw6vUYffJByjDr9peK06/Gbhderwm4fXq8NvEd6gDr9lOFYdfqtwnDr81uGN6vDbhDepw3cIx6vDbxverA7fMbxFHb5TeKs6fOfwNnX47cIJ6vDbhxPV4XcIJ6nD7xjerg6/U3iHup3DXcI7w8nyXcK71OF3De9Wh+8a3qMOv1s4RR1+93CqOvwe4b3q8HuG09Th9wqnq8N3C+9Th+8e3q8O3yN8QB2+Z/igOvze4UPq8PuED6vD9wpnqMPvGz6iDt87fFQdfr/wMXX4PuHj6vB9wyfU4fcPn1SHPyB8Sh3+wPBpdfiDwpnq8P3CWerwB4ez1eEPCZ9Rh+8fPqsOf2j4nDr8YeEcdfjDw+fV4Y8IX1CHPzJ8UR3+qPAldfijw5fV4Y8JX1GHPzZ8VR1+QPiaOvxx4evq8MeHb6jDnxC+qQ5/YviWOvxJ4dvq8CeH76jDnxK+qw5/avieOjx/4n11eP7EB+rw/IkP1eH5Ex+pw/Mn5qrD8yc+VofnT3yiDs+f+FQdnj/xmTo8f+JzdXj+xBfq8PyJL9Xh+RNfqcPzJ75Wh+dPfKMOz5/4Vh2eP/GdOjx/4nt1eP7ED+rw/Ikf1eH5Ez+pw/MnflaH50/8og7Pn/hVHZ4/MU8dnj/xmzo8f+J3dXj+xB/q8PyJP9Xh+RPz1eH5E3+pw/Mn/laH50/8ow7Pn/hXHZ4/0aDUHZ4/sUCpOzx/omGpOzx/olGpOzx/YsFSd3j+xEKl7vD8ical7vD8iYVL3eH5E01K3eH5E6XUHZ4/sUipOzx/YtFSd3j+xGKl7vD8icVL3eH5E0uUusPzJ5YsdYfnTyxV6g7Pn1i61B2e39G01N1/spdLtQ==AQAAAACAAADARAAAdAsAAA==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AQAAAACAAACYCAAAGQAAAA==eJzj5BwFo2AUjIJRMApGwSgYHAAAmNhNWQ==
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CylinderKnMa/Kn0p18/simulation0333_Kn0p18Ma5p2/Lambda/Lambda_7_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="2323" NumberOfCells="2200" >
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+ <PointData>
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+ </PointData>
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+ <CellData>
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+ <DataArray type="Float64" Name="id" format="appended" RangeMin="48901" RangeMax="54124" offset="0" />
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+ <DataArray type="Float64" Name="xc" format="appended" RangeMin="-0.46926" RangeMax="3.9939" offset="3292" />
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+ <DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.094987" RangeMax="0.18285" offset="17660" />
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+ </CellData>
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+ <Points>
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+ <DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="4.0090109793" RangeMax="6.4133780525" offset="25636" />
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+ </Points>
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+ <Cells>
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+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="33992" />
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+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="49956" />
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+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="53892" />
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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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_AQAAAACAAADARAAAkgkAAA==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AQAAAACAAADARAAAbAMAAA==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eJztxb1KQgEAhmFwCKRBs0GhwRokjAYXMSrIIIoIXASHEAMdrKmwwaUarCUJ4oAOLeFiRIOUokQi/QydIaLFoSGCfoiEcquQli6g7xLeZ3nMucD2ZL89aDLzv42N39GVEDOrJ64fqltrzKy2dgrJyhEzq0+DmWfznpnVmdXp3HdXDzOLffVBW7efmdWPFmvWnWBm9aH/dixkMLM6sl6qxc+ZWT1wnFo0PplZffcTfin2OZhZvDfkyjdnmVk9k+rYWmlmVjuKjUvnATOrLz72x4ebzKzOuhPteUsvM4tHklNLyz5mVr+VPK+bMWZWnzy18uUdZlYveG/s5hkzq73R3auvd2ZW/wFCUY/NAQAAAACAAADARAAAaiUAAA==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AQAAAACAAADARAAATBcAAA==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AQAAAACAAADARAAAdAsAAA==eJw126HfOQB0L+B399q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CylinderKnMa/Kn0p18/simulation0333_Kn0p18Ma5p2/Lambda/Lambda_8_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="1035" NumberOfCells="968" >
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+ <PointData>
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+ </PointData>
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+ <CellData>
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+ <DataArray type="Float64" Name="id" format="appended" RangeMin="49001" RangeMax="54168" offset="0" />
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+ <DataArray type="Float64" Name="xc" format="appended" RangeMin="4.0389" RangeMax="5.9775" offset="1524" />
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+ <DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.095117" RangeMax="0.18185" offset="11904" />
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+ </CellData>
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+ <Points>
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+ <DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="5.6748189645" RangeMax="7.8102496759" offset="20008" />
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+ </Points>
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+ <Cells>
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+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="23188" />
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+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="29728" />
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+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="31524" />
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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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_AQAAAACAAABAHgAAYwQAAA==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AQAAAACAAABAHgAArwEAAA==eJzt0O8r3AEcB3AZVkLf3191SUh8Neu6RpcNb8ODa007LcR214jSWVIKm6T8OOXi5AhJS4TE8ECRU8ZiJ2Pk16Z1NeKJB/vKJKnd+S/U5/P80/v9fqlpmyW7MQwWKjtD/XIYWEdyXbpGBsafmtp3Mww0we54u5uB6/XS6FAIC4e1KX/nGQvTvCHI18JCOQ9e1PayuAjfLjevsnBmd0e0XbKw9FX1D0ZxSNx4mvXDyMHHe/UcXLqV6ceTHLqKW4reHnFInyj9XRHIwxvzSc9jn1M9jXgMZs5e3Dp4lFV/GH60zCNxPCW34C+PE9UTFC7gc/Rxw8BLATV5owkbHwVktJad3owJCPG0iTsQsODPCakBIpr1e1/fPxFh9BYqFKEZMCnrdhEnW5G/rhdFTD04tcWeizC9WHuYrJEQW2ebsxgkqFOvPB8SnH+EsG/DEqzS4ferHQkJd8Nl+HTU3SRpZbiWn0+UmmQ4/gWYe2wyzMo6szovQ3nT/uXyTIZKvuRLvuRLvuRLvuRLvuRLvuRLvuRLvuRLvuRLvuRLvuRLvuRLvuRLvuR7T3z/A/V6NDE=AQAAAACAAABAHgAA7gAAAA==eJw77m3e6agg4HB8lKYJPbHut1WB3yhNK9r+2J2tLTWjNK1ozp8L0jevGqVpRe9waHp0/MYoTSu6qdhtyjc2wVGaRrTBbnV+btNRmlb0PSbOLvnkUZpW9ArTs9Z+E0dpWtFhteu2Je0fpWlFK24oypj4dpSmFX3+e/DjpdJCozSN6JlaElOveI7StKLdi37yvywfpWlFCy3de1B82ShNK/rAm3k2OldGaVrRwEbwuygm4VGaRrRFuktmvsEoTSv62TrVJ81xozSt6I0PX07d1DNK04qO1zwtcHzXKE0rWjOm/9DXF6M0rWgABYaRLQ==AQAAAACAAABAHgAAkRsAAA==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AQAAAACAAABAHgAAqhcAAA==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AQAAAACAAACEMAAAPwkAAA==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AQAAAACAAABAHgAAMAUAAA==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AQAAAACAAADIAwAAEQAAAA==eJzj5BwFo2AUDHUAAG+sIgk=
26
+ </AppendedData>
27
+ </VTKFile>
CylinderKnMa/Kn0p18/simulation0333_Kn0p18Ma5p2/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/Kn0p18/simulation0333_Kn0p18Ma5p2/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 0.18
13
+ variable Ma equal 5.2
14
+ variable To equal 273.0
15
+ variable Tb equal 273.0
16
+ variable theta equal 0.0
17
+ variable mfp equal ${Kn}*${L}
18
+ variable cpmfp equal 4
19
+ variable nden equal 1.0/sqrt(2.0)/${PI}/${molecular_diameter}/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
20
+ variable sos equal sqrt(${gamma}*${R}*${To})
21
+ variable vo equal ${Ma}*${sos}
22
+ variable vx equal ${vo}*cos(${theta}*2*PI/360)
23
+ variable vy equal ${vo}*sin(${theta}*2*PI/360)
24
+ variable ppc equal 30
25
+ variable xncells equal (${xmax}-${xmin})/${mfp}*${cpmfp}
26
+ variable yncells equal (${ymax}-${ymin})/${mfp}*${cpmfp}
27
+ variable Fnum equal ${nden}*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
28
+ variable tstep equal (-${xmin}+${xmax})/${vx}/${xncells}/10/4
29
+ variable nave equal 10000
30
+ variable noutput equal 300000
31
+ clear
32
+ shell mkdir output
33
+ shell mkdir grid
34
+ shell mkdir surf
35
+ seed 7
36
+ dimension 2
37
+ global nrho ${nden}
38
+ global fnum ${Fnum}
39
+ timestep ${tstep}
40
+ global gridcut 1.0 particle/reorder 100 comm/sort yes
41
+ region 1 cylinder z 0.0 0.0 3.50 -0.5 0.5
42
+ region 2 cylinder z 0.0 0.0 2.00 -0.5 0.5
43
+ region 3 cylinder z 0.0 0.0 0.80 -0.5 0.5
44
+ boundary o o p
45
+ create_box ${xmin} ${xmax} ${ymin} ${ymax} -0.5 0.5
46
+ create_grid ${xncells} ${yncells} 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
47
+ balance_grid rcb cell
48
+ species gas.species Ar
49
+ mixture air Ar frac 1.0
50
+ mixture air Ar vstream ${vx} ${vy} 0.0 temp ${To}
51
+ collide vss air gas.vhs
52
+ collide_modify vremax 100 yes remain no nearcp yes 10
53
+ read_surf cylinder.surf
54
+ surf_collide 1 diffuse 273.0 1.0
55
+ surf_modify all collide 1
56
+ fix in emit/face air xlo ylo yhi
57
+ balance_grid rcb cell
58
+ create_particles air n 0
59
+ stats 10000
60
+ stats_style step cpu np nattempt ncoll nscoll npave nscollave
61
+ run 200000
62
+ compute 1 grid all air n nrho massrho u v w
63
+ compute 2 grid all air trot
64
+ compute 3 tvib/grid all air
65
+ compute 4 thermal/grid all air press temp
66
+ fix 1 ave/grid all 1 ${nave} ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
67
+ dump 1 grid all ${noutput} output/grid.*.dat id xc yc f_1[*]
68
+ dump_modify 1 format float %12.5g
69
+ compute 5 surf all air n press px py shx shy fx fy etot erot evib
70
+ fix 2 ave/surf all 1 ${nave} ${nave} c_5[*] ave running
71
+ dump 2 surf all ${noutput} output/surf.*.dat id v1x v1y v2x v2y f_2[*]
72
+ dump_modify 2 format float %12.5g
73
+ compute 6 lambda/grid f_1[2] f_1[8] Ar kx
74
+ dump 3 grid all ${noutput} output/lambdakn.*.dat id xc yc c_6[*]
75
+ dump_modify 3 format float %12.5g
76
+ run 100000
77
+ write_grid grid/final-grid.dat
78
+ write_surf surf/geom.surf
CylinderKnMa/Kn0p18/simulation0333_Kn0p18Ma5p2/cylinder.surf ADDED
@@ -0,0 +1,410 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ surf file from Pointwise
2
+
3
+ 200 points
4
+ 200 lines
5
+
6
+ Points
7
+
8
+ 1 0.5 0.0
9
+ 2 0.499753280182866E+000 -0.157053795390643E-001
10
+ 3 0.499013364214136E+000 -0.313952597646568E-001
11
+ 4 0.497780982301540E+000 -0.470541566592573E-001
12
+ 5 0.496057350657239E+000 -0.626666167821523E-001
13
+ 6 0.493844170297569E+000 -0.782172325201156E-001
14
+ 7 0.491143625364344E+000 -0.936906572928624E-001
15
+ 8 0.487958380969374E+000 -0.109071620698271E+000
16
+ 9 0.484291580564315E+000 -0.124344943582427E+000
17
+ 10 0.480146842838471E+000 -0.139495553019615E+000
18
+ 11 0.475528258147577E+000 -0.154508497187474E+000
19
+ 12 0.470440384477113E+000 -0.169368960122646E+000
20
+ 13 0.464888242944126E+000 -0.184062276342339E+000
21
+ 14 0.458877312841991E+000 -0.198573945317390E+000
22
+ 15 0.452413526233010E+000 -0.212889645782536E+000
23
+ 16 0.445503262094184E+000 -0.226995249869774E+000
24
+ 17 0.438153340021932E+000 -0.240876837050858E+000
25
+ 18 0.430371013501972E+000 -0.254520707875186E+000
26
+ 19 0.422163962751007E+000 -0.267913397489498E+000
27
+ 20 0.413540287137281E+000 -0.281041688926065E+000
28
+ 21 0.404508497187474E+000 -0.293892626146237E+000
29
+ 22 0.395077506187845E+000 -0.306453526826488E+000
30
+ 23 0.385256621387895E+000 -0.318711994874345E+000
31
+ 24 0.375055534815230E+000 -0.330655932661826E+000
32
+ 25 0.364484313710706E+000 -0.342273552964344E+000
33
+ 26 0.353553390593274E+000 -0.353553390593274E+000
34
+ 27 0.342273552964344E+000 -0.364484313710706E+000
35
+ 28 0.330655932661826E+000 -0.375055534815230E+000
36
+ 29 0.318711994874345E+000 -0.385256621387895E+000
37
+ 30 0.306453526826488E+000 -0.395077506187845E+000
38
+ 31 0.293892626146236E+000 -0.404508497187474E+000
39
+ 32 0.281041688926065E+000 -0.413540287137281E+000
40
+ 33 0.267913397489498E+000 -0.422163962751008E+000
41
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CylinderKnMa/Kn0p18/simulation0333_Kn0p18Ma5p2/grid/Grid_6_300000.vtu ADDED
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CylinderKnMa/Kn0p18/simulation0333_Kn0p18Ma5p2/grid/Grid_7_300000.vtu ADDED
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CylinderKnMa/Kn0p18/simulation0333_Kn0p18Ma5p2/grid/Grid_8_300000.vtu ADDED
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AQAAAACAAABAHgAAyxoAAA==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AQAAAACAAABAHgAAjBoAAA==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AQAAAACAAABAHgAAqQgAAA==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AQAAAACAAABAHgAAjRgAAA==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AQAAAACAAABAHgAAHAAAAA==eJztwQEBAAAAgJD+r+4ICgAAAAAAAABqHkAAAQ==AQAAAACAAABAHgAAHAAAAA==eJztwQEBAAAAgJD+r+4ICgAAAAAAAABqHkAAAQ==AQAAAACAAACEMAAAPwkAAA==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AQAAAACAAABAHgAAMAUAAA==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AQAAAACAAADIAwAAEQAAAA==eJzj5BwFo2AUDHUAAG+sIgk=
34
+ </AppendedData>
35
+ </VTKFile>
CylinderKnMa/Kn0p18/simulation0333_Kn0p18Ma5p2/grid/final-grid.dat ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p18/simulation0333_Kn0p18Ma5p2/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 0.18
17
+ variable Ma equal 5.2
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 0.18*${L}
23
+ variable mfp equal 0.18*1
24
+ variable cpmfp equal 4
25
+ variable nden equal 1.0/sqrt(2.0)/${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}*${Kn})
29
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.18/${cpmfp}*${Kn})
30
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.18/4*${Kn})
31
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.18/4*0.18)
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 5.2*${sos}
38
+ variable vo equal 5.2*307.815564238681
39
+ variable vx equal ${vo}*cos(${theta}*2*PI/360)
40
+ variable vx equal 1600.64093404114*cos(${theta}*2*PI/360)
41
+ variable vx equal 1600.64093404114*cos(0*2*PI/360)
42
+ variable vy equal ${vo}*sin(${theta}*2*PI/360)
43
+ variable vy equal 1600.64093404114*sin(${theta}*2*PI/360)
44
+ variable vy equal 1600.64093404114*sin(0*2*PI/360)
45
+ variable ppc equal 30
46
+ variable xncells equal (${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)/0.18*${cpmfp}
50
+ variable xncells equal (6--5)/0.18*4
51
+ variable yncells equal (${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)/0.18*${cpmfp}
55
+ variable yncells equal (5--5)/0.18*4
56
+ variable Fnum equal ${nden}*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
57
+ variable Fnum equal 1.59800450989094e+20*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
58
+ variable Fnum equal 1.59800450989094e+20*(6-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
59
+ variable Fnum equal 1.59800450989094e+20*(6--5)*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
60
+ variable Fnum equal 1.59800450989094e+20*(6--5)*(5-${ymin})/${ppc}/${xncells}/${yncells}
61
+ variable Fnum equal 1.59800450989094e+20*(6--5)*(5--5)/${ppc}/${xncells}/${yncells}
62
+ variable Fnum equal 1.59800450989094e+20*(6--5)*(5--5)/30/${xncells}/${yncells}
63
+ variable Fnum equal 1.59800450989094e+20*(6--5)*(5--5)/30/244.444444444444/${yncells}
64
+ variable Fnum equal 1.59800450989094e+20*(6--5)*(5--5)/30/244.444444444444/222.222222222222
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}/${xncells}/10/4
68
+ variable tstep equal (--5+6)/1600.64093404114/${xncells}/10/4
69
+ variable tstep equal (--5+6)/1600.64093404114/244.444444444444/10/4
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 1.59800450989094e+20
81
+ global fnum ${Fnum}
82
+ global fnum 1.07865304417639e+16
83
+ timestep ${tstep}
84
+ timestep 7.02843452316138e-07
85
+ global gridcut 1.0 particle/reorder 100 comm/sort yes
86
+ region 1 cylinder z 0.0 0.0 3.50 -0.5 0.5
87
+ region 2 cylinder z 0.0 0.0 2.00 -0.5 0.5
88
+ region 3 cylinder z 0.0 0.0 0.80 -0.5 0.5
89
+ boundary o o p
90
+ create_box ${xmin} ${xmax} ${ymin} ${ymax} -0.5 0.5
91
+ create_box -5 ${xmax} ${ymin} ${ymax} -0.5 0.5
92
+ create_box -5 6 ${ymin} ${ymax} -0.5 0.5
93
+ create_box -5 6 -5 ${ymax} -0.5 0.5
94
+ create_box -5 6 -5 5 -0.5 0.5
95
+ Created orthogonal box = (-5 -5 -0.5) to (6 5 0.5)
96
+ create_grid ${xncells} ${yncells} 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
97
+ create_grid 244.444444444444 ${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 244.444444444444 222.222222222222 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 235656 child grid cells
100
+ CPU time = 0.283229 secs
101
+ create/ghost percent = 0.574533 99.4255
102
+ balance_grid rcb cell
103
+ Balance grid migrated 235218 cells
104
+ CPU time = 0.193659 secs
105
+ reassign/sort/migrate/ghost percent = 35.8735 0.026841 6.03436 58.0653
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 1600.64093404114 ${vy} 0.0 temp ${To}
110
+ mixture air Ar vstream 1600.64093404114 0 0.0 temp ${To}
111
+ mixture air Ar vstream 1600.64093404114 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
+ 710 0 = cells overlapping surfs, overlap cells with unmarked corner pts
121
+ 210566 24380 710 = cells outside/inside/overlapping surfs
122
+ 710 = surf cells with 1,2,etc splits
123
+ 109.215 109.215 = cell-wise and global flow volume
124
+ CPU time = 0.31967 secs
125
+ read/check/sort/surf2grid/ghost/inout/particle percent = 12.8127 20.2203 0.844951 9.15096 56.971 25.8598 0.0584477
126
+ surf2grid time = 0.0292529 secs
127
+ map/comm1/comm2/comm3/comm4/split percent = 20.7635 21.0916 9.13191 1.37487 10.0925 5.30209
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 4389 cells
133
+ CPU time = 0.125235 secs
134
+ reassign/sort/migrate/ghost percent = 4.31302 0.0363158 7.76797 87.8827
135
+ create_particles air n 0
136
+ WARNING: Created unexpected # of particles: 1617995 versus 1617996 (../create_particles.cpp:346)
137
+ Created 1617995 particles
138
+ CPU time = 0.0286827 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) = 2.39941 0 6.75
144
+ grid (ave,min,max) = 8.65491 1.51379 15.5763
145
+ surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
146
+ total (ave,min,max) = 11.0749 5.09689 18.9719
147
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
148
+ 0 0 1617995 0 0 0 0 0
149
+ 10000 43.772158 1718072 45961 39531 29 1641125.9 30.9265
150
+ 20000 119.5062 1790321 49862 43323 33 1704745.2 31.35685
151
+ 30000 199.60703 1794310 50119 43499 35 1734270.5 31.500933
152
+ 40000 280.17289 1795587 50191 43557 31 1749462.4 31.607225
153
+ 50000 360.92676 1796638 50152 43596 42 1758781.9 31.68764
154
+ 60000 440.49626 1797876 50292 43730 35 1765124.4 31.728633
155
+ 70000 520.32501 1796253 50087 43530 41 1769582.8 31.757586
156
+ 80000 600.53392 1795574 49976 43487 35 1772871.9 31.775237
157
+ 90000 681.38252 1795304 50079 43609 28 1775413.2 31.788878
158
+ 100000 761.24139 1795873 50199 43580 31 1777470 31.79358
159
+ 110000 841.99615 1794332 49980 43452 41 1779150.8 31.806855
160
+ 120000 922.56376 1795747 50003 43487 24 1780462.1 31.811508
161
+ 130000 1002.9278 1796328 50280 43729 28 1781670.6 31.830969
162
+ 140000 1083.0672 1796589 50276 43794 33 1782726.4 31.8379
163
+ 150000 1164.1196 1796590 50265 43601 38 1783634.8 31.848733
164
+ 160000 1244.7328 1797129 50211 43738 33 1784444.5 31.853206
165
+ 170000 1324.9096 1795954 50120 43659 35 1785182.7 31.857118
166
+ 180000 1404.4904 1795964 50257 43587 38 1785782.8 31.860567
167
+ 190000 1484.8358 1795112 50131 43585 34 1786282.6 31.859195
168
+ 200000 1564.4477 1794063 49967 43365 30 1786699.3 31.86102
169
+ Loop time of 1564.45 on 128 procs for 200000 steps with 1794063 particles
170
+
171
+ MPI task timing breakdown:
172
+ Section | min time | avg time | max time |%varavg| %total
173
+ ---------------------------------------------------------------
174
+ Move | 0.026873 | 51.004 | 330.82 | 932.4 | 3.26
175
+ Coll | 1.1647 | 74.617 | 844.63 |1518.8 | 4.77
176
+ Sort | 0.43399 | 24.204 | 196.75 | 838.3 | 1.55
177
+ Comm | 116.04 | 147.33 | 161.14 | 80.9 | 9.42
178
+ Modify | 0.024382 | 0.36821 | 6.5477 | 155.5 | 0.02
179
+ Output | 0.0046516 | 0.084973 | 0.093539 | 5.0 | 0.01
180
+ Other | | 1267 | | | 80.98
181
+
182
+ Particle moves = 357339854351 (357B)
183
+ Cells touched = 373402832150 (373B)
184
+ Particle comms = 380141665 (380M)
185
+ Boundary collides = 0 (0K)
186
+ Boundary exits = 37512672 (37.5M)
187
+ SurfColl checks = 334356617 (334M)
188
+ SurfColl occurs = 6372204 (6.37M)
189
+ Surf reactions = 0 (0K)
190
+ Collide attempts = 11879579885 (11.9B)
191
+ Collide occurs = 9083659445 (9.08B)
192
+ Reactions = 0 (0K)
193
+ Particles stuck = 0
194
+ Axisymm bad moves = 0
195
+
196
+ Particle-moves/CPUsec/proc: 1.78447e+06
197
+ Particle-moves/step: 1.7867e+06
198
+ Cell-touches/particle/step: 1.04495
199
+ Particle comm iterations/step: 1
200
+ Particle fraction communicated: 0.00106381
201
+ Particle fraction colliding with boundary: 0
202
+ Particle fraction exiting boundary: 0.000104978
203
+ Surface-checks/particle/step: 0.000935682
204
+ Surface-collisions/particle/step: 1.78323e-05
205
+ Surf-reactions/particle/step: 0
206
+ Collision-attempts/particle/step: 0.0332445
207
+ Collisions/particle/step: 0.0254202
208
+ Reactions/particle/step: 0
209
+
210
+ Particles: 14016.1 ave 98782 max 0 min
211
+ Histogram: 86 14 4 12 2 6 0 0 2 2
212
+ Cells: 1841.06 ave 1842 max 1840 min
213
+ Histogram: 1 0 0 0 0 118 0 0 0 9
214
+ GhostCell: 47269.2 ave 87029 max 2584 min
215
+ Histogram: 24 8 10 10 18 2 6 4 16 30
216
+ EmptyCell: 0 ave 0 max 0 min
217
+ Histogram: 128 0 0 0 0 0 0 0 0 0
218
+ Surfs: 200 ave 200 max 200 min
219
+ Histogram: 128 0 0 0 0 0 0 0 0 0
220
+ GhostSurf: 0 ave 0 max 0 min
221
+ Histogram: 128 0 0 0 0 0 0 0 0 0
222
+ compute 1 grid all air n nrho massrho u v w
223
+ compute 2 grid all air trot
224
+ compute 3 tvib/grid all air
225
+ compute 4 thermal/grid all air press temp
226
+ fix 1 ave/grid all 1 ${nave} ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
227
+ fix 1 ave/grid all 1 10000 ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
228
+ fix 1 ave/grid all 1 10000 10000 c_1[*] c_4[*] c_2[*] c_3[*] ave running
229
+ dump 1 grid all ${noutput} output/grid.*.dat id xc yc f_1[*]
230
+ dump 1 grid all 300000 output/grid.*.dat id xc yc f_1[*]
231
+ dump_modify 1 format float %12.5g
232
+ compute 5 surf all air n press px py shx shy fx fy etot erot evib
233
+ fix 2 ave/surf all 1 ${nave} ${nave} c_5[*] ave running
234
+ fix 2 ave/surf all 1 10000 ${nave} c_5[*] ave running
235
+ fix 2 ave/surf all 1 10000 10000 c_5[*] ave running
236
+ dump 2 surf all ${noutput} output/surf.*.dat id v1x v1y v2x v2y f_2[*]
237
+ dump 2 surf all 300000 output/surf.*.dat id v1x v1y v2x v2y f_2[*]
238
+ dump_modify 2 format float %12.5g
239
+ compute 6 lambda/grid f_1[2] f_1[8] Ar kx
240
+ dump 3 grid all ${noutput} output/lambdakn.*.dat id xc yc c_6[*]
241
+ dump 3 grid all 300000 output/lambdakn.*.dat id xc yc c_6[*]
242
+ dump_modify 3 format float %12.5g
243
+ run 100000
244
+ Memory usage per proc in Mbytes:
245
+ particles (ave,min,max) = 2.62354 0 11.8125
246
+ grid (ave,min,max) = 8.65491 1.51379 15.5763
247
+ surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
248
+ total (ave,min,max) = 11.9173 5.71507 19.5902
249
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
250
+ 200000 0 1794063 49967 43365 0 0 0
251
+ 210000 129.86104 1795994 49790 43206 39 1795200.5 31.8379
252
+ 220000 261.041 1795665 50357 43907 25 1795773.2 31.88605
253
+ 230000 391.12096 1795579 50307 43632 31 1795577.7 31.854433
254
+ 240000 522.45847 1795643 50140 43578 37 1795516.9 31.863125
255
+ 250000 653.28793 1795471 50075 43512 31 1795585.5 31.87248
256
+ 260000 783.39522 1794742 50032 43465 31 1795586.1 31.862283
257
+ 270000 913.64656 1796328 50138 43492 39 1795650.6 31.876186
258
+ 280000 1043.4625 1794828 50289 43716 26 1795720.5 31.868813
259
+ 290000 1173.6477 1795568 49928 43236 27 1795658.7 31.871167
260
+ 300000 1304.47 1795949 49939 43406 31 1795656.4 31.88063
261
+ Loop time of 1304.47 on 128 procs for 100000 steps with 1795949 particles
262
+
263
+ MPI task timing breakdown:
264
+ Section | min time | avg time | max time |%varavg| %total
265
+ ---------------------------------------------------------------
266
+ Move | 0.015986 | 25.783 | 165.47 | 640.6 | 1.98
267
+ Coll | 0.58855 | 40.258 | 460.5 |1118.7 | 3.09
268
+ Sort | 0.30846 | 13.185 | 107.64 | 589.5 | 1.01
269
+ Comm | 62.255 | 78.395 | 86.174 | 61.4 | 6.01
270
+ Modify | 8.3768 | 69.377 | 452.98 |1045.5 | 5.32
271
+ Output | 0.2258 | 0.22752 | 0.23347 | 0.3 | 0.02
272
+ Other | | 1077 | | | 82.58
273
+
274
+ Particle moves = 179565637664 (180B)
275
+ Cells touched = 187624967672 (188B)
276
+ Particle comms = 190623038 (191M)
277
+ Boundary collides = 0 (0K)
278
+ Boundary exits = 18843207 (18.8M)
279
+ SurfColl checks = 167438084 (167M)
280
+ SurfColl occurs = 3188063 (3.19M)
281
+ Surf reactions = 0 (0K)
282
+ Collide attempts = 6024705672 (6.02B)
283
+ Collide occurs = 4604806188 (4.6B)
284
+ Reactions = 0 (0K)
285
+ Particles stuck = 0
286
+ Axisymm bad moves = 0
287
+
288
+ Particle-moves/CPUsec/proc: 1.07542e+06
289
+ Particle-moves/step: 1.79566e+06
290
+ Cell-touches/particle/step: 1.04488
291
+ Particle comm iterations/step: 1
292
+ Particle fraction communicated: 0.00106158
293
+ Particle fraction colliding with boundary: 0
294
+ Particle fraction exiting boundary: 0.000104938
295
+ Surface-checks/particle/step: 0.000932462
296
+ Surface-collisions/particle/step: 1.77543e-05
297
+ Surf-reactions/particle/step: 0
298
+ Collision-attempts/particle/step: 0.0335516
299
+ Collisions/particle/step: 0.0256441
300
+ Reactions/particle/step: 0
301
+
302
+ Particles: 14030.9 ave 98519 max 0 min
303
+ Histogram: 86 14 4 12 2 6 0 0 2 2
304
+ Cells: 1841.06 ave 1842 max 1840 min
305
+ Histogram: 1 0 0 0 0 118 0 0 0 9
306
+ GhostCell: 47269.2 ave 87029 max 2584 min
307
+ Histogram: 24 8 10 10 18 2 6 4 16 30
308
+ EmptyCell: 0 ave 0 max 0 min
309
+ Histogram: 128 0 0 0 0 0 0 0 0 0
310
+ Surfs: 200 ave 200 max 200 min
311
+ Histogram: 128 0 0 0 0 0 0 0 0 0
312
+ GhostSurf: 0 ave 0 max 0 min
313
+ Histogram: 128 0 0 0 0 0 0 0 0 0
314
+ write_grid grid/final-grid.dat
315
+ grid cells = 235656
316
+ CPU time = 0.0322238 secs
317
+ write_surf surf/geom.surf
318
+ surf elements = 200
319
+ CPU time = 0.00320994 secs
CylinderKnMa/Kn0p18/simulation0333_Kn0p18Ma5p2/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/Kn0p18/simulation0333_Kn0p18Ma5p2/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 0.00987 0.45329 -0.45324 0.00712 0.00020153 0.012829 -0.007116 0.00031334 60.512 0 0
11
+ 129 -0.31871 0.38526 -0.30645 0.39508 0.25621 11.792 7.3726 -9.2025 1.2479 0.99973 0.1354 -0.12884 1860.1 0 0
12
+ 2 0.49975 -0.015705 0.49901 -0.031395 0.01038 0.45874 -0.45823 0.02161 -0.00012844 -0.0027236 -0.0071996 0.00029665 65.214 0 0
13
+ 130 -0.30645 0.39508 -0.29389 0.40451 0.23857 11.025 6.6195 -8.8163 1.2715 0.95469 0.12395 -0.12348 1764.9 0 0
14
+ 3 0.49901 -0.031395 0.49778 -0.047054 0.00997 0.44944 -0.44806 0.035263 -1.2419e-05 -0.0001578 -0.007038 0.00055141 58.739 0 0
15
+ 131 -0.29389 0.40451 -0.28104 0.41354 0.23263 10.766 6.1907 -8.8085 1.3567 0.95347 0.11855 -0.12338 1770.3 0 0
16
+ 4 0.49778 -0.047054 0.49606 -0.062667 0.00999 0.45479 -0.45205 0.049906 -0.00075919 -0.0068766 -0.0071124 0.00067588 60.577 0 0
17
+ 132 -0.28104 0.41354 -0.26791 0.42216 0.21372 9.9087 5.4401 -8.2817 1.2766 0.83859 0.1055 -0.11691 1632.7 0 0
18
+ 5 0.49606 -0.062667 0.49384 -0.078217 0.0099 0.447 -0.44254 0.062982 -0.0003993 -0.0028056 -0.0069573 0.00094521 59.701 0 0
19
+ 133 -0.26791 0.42216 -0.25452 0.43037 0.20314 9.4343 4.9294 -8.044 1.2779 0.78307 0.097499 -0.11405 1547.8 0 0
20
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21
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144
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145
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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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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 0.53222 24.543 24.54 0.3855 0.00070419 -0.044826 0.38547 0.0053511 3753.9 0 0
182
+ 101 -0.5 0 -0.49975 0.015705 0.53325 24.601 24.598 -0.38642 0.0014436 0.091896 0.38639 -0.0046262 3742.8 0 0
183
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184
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185
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186
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187
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190
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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
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199
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200
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201
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202
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203
+ 122 -0.39508 0.30645 -0.38526 0.31871 0.34654 16.032 12.512 -10.024 0.99224 1.2385 0.21211 -0.13799 2497.2 0 0
204
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205
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206
+ 125 -0.36448 0.34227 -0.35355 0.35355 0.30797 14.211 10.205 -9.8898 1.1132 1.1487 0.17779 -0.1373 2241.7 0 0
207
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208
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209
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CylinderKnMa/Kn0p18/simulation0333_Kn0p18Ma5p2/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/Kn0p18/simulation0333_Kn0p18Ma5p2/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/Kn0p18/simulation0333_Kn0p18Ma5p2/slurm-28428626.out ADDED
@@ -0,0 +1,215 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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 235656 child grid cells
6
+ CPU time = 0.283229 secs
7
+ create/ghost percent = 0.574533 99.4255
8
+ Balance grid migrated 235218 cells
9
+ CPU time = 0.193659 secs
10
+ reassign/sort/migrate/ghost percent = 35.8735 0.026841 6.03436 58.0653
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
+ 710 0 = cells overlapping surfs, overlap cells with unmarked corner pts
18
+ 210566 24380 710 = cells outside/inside/overlapping surfs
19
+ 710 = surf cells with 1,2,etc splits
20
+ 109.214731023044 109.214731023047 = cell-wise and global flow volume
21
+ CPU time = 0.31967 secs
22
+ read/check/sort/surf2grid/ghost/inout/particle percent = 12.8127 20.2203 0.844951 9.15096 56.971 25.8598 0.0584477
23
+ surf2grid time = 0.0292529 secs
24
+ map/comm1/comm2/comm3/comm4/split percent = 20.7635 21.0916 9.13191 1.37487 10.0925 5.30209
25
+ Balance grid migrated 4389 cells
26
+ CPU time = 0.125235 secs
27
+ reassign/sort/migrate/ghost percent = 4.31302 0.0363158 7.76797 87.8827
28
+ Creating particles ...
29
+ WARNING: Created unexpected # of particles: 1617995 versus 1617996 (../create_particles.cpp:346)
30
+ Created 1617995 particles
31
+ CPU time = 0.0286827 secs
32
+ Memory usage per proc in Mbytes:
33
+ particles (ave,min,max) = 2.39941 0 6.75
34
+ grid (ave,min,max) = 8.65491 1.51379 15.5763
35
+ surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
36
+ total (ave,min,max) = 11.0749 5.09689 18.9719
37
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
38
+ 0 0 1617995 0 0 0 0 0
39
+ 10000 43.772158 1718072 45961 39531 29 1641125.9 30.9265
40
+ 20000 119.5062 1790321 49862 43323 33 1704745.2 31.35685
41
+ 30000 199.60703 1794310 50119 43499 35 1734270.5 31.500933
42
+ 40000 280.17289 1795587 50191 43557 31 1749462.4 31.607225
43
+ 50000 360.92676 1796638 50152 43596 42 1758781.9 31.68764
44
+ 60000 440.49626 1797876 50292 43730 35 1765124.4 31.728633
45
+ 70000 520.32501 1796253 50087 43530 41 1769582.8 31.757586
46
+ 80000 600.53392 1795574 49976 43487 35 1772871.9 31.775237
47
+ 90000 681.38252 1795304 50079 43609 28 1775413.2 31.788878
48
+ 100000 761.24139 1795873 50199 43580 31 1777470 31.79358
49
+ 110000 841.99615 1794332 49980 43452 41 1779150.8 31.806855
50
+ 120000 922.56376 1795747 50003 43487 24 1780462.1 31.811508
51
+ 130000 1002.9278 1796328 50280 43729 28 1781670.6 31.830969
52
+ 140000 1083.0672 1796589 50276 43794 33 1782726.4 31.8379
53
+ 150000 1164.1196 1796590 50265 43601 38 1783634.8 31.848733
54
+ 160000 1244.7328 1797129 50211 43738 33 1784444.5 31.853206
55
+ 170000 1324.9096 1795954 50120 43659 35 1785182.7 31.857118
56
+ 180000 1404.4904 1795964 50257 43587 38 1785782.8 31.860567
57
+ 190000 1484.8358 1795112 50131 43585 34 1786282.6 31.859195
58
+ 200000 1564.4477 1794063 49967 43365 30 1786699.3 31.86102
59
+ Loop time of 1564.45 on 128 procs for 200000 steps with 1794063 particles
60
+
61
+ MPI task timing breakdown:
62
+ Section | min time | avg time | max time |%varavg| %total
63
+ ---------------------------------------------------------------
64
+ Move | 0.026873 | 51.004 | 330.82 | 932.4 | 3.26
65
+ Coll | 1.1647 | 74.617 | 844.63 |1518.8 | 4.77
66
+ Sort | 0.43399 | 24.204 | 196.75 | 838.3 | 1.55
67
+ Comm | 116.04 | 147.33 | 161.14 | 80.9 | 9.42
68
+ Modify | 0.024382 | 0.36821 | 6.5477 | 155.5 | 0.02
69
+ Output | 0.0046516 | 0.084973 | 0.093539 | 5.0 | 0.01
70
+ Other | | 1267 | | | 80.98
71
+
72
+ Particle moves = 357339854351 (357B)
73
+ Cells touched = 373402832150 (373B)
74
+ Particle comms = 380141665 (380M)
75
+ Boundary collides = 0 (0K)
76
+ Boundary exits = 37512672 (37.5M)
77
+ SurfColl checks = 334356617 (334M)
78
+ SurfColl occurs = 6372204 (6.37M)
79
+ Surf reactions = 0 (0K)
80
+ Collide attempts = 11879579885 (11.9B)
81
+ Collide occurs = 9083659445 (9.08B)
82
+ Gas reactions = 0 (0K)
83
+ Particles stuck = 0
84
+ Axisymm bad moves = 0
85
+
86
+ Particle-moves/CPUsec/proc: 1.78447e+06
87
+ Particle-moves/step: 1.7867e+06
88
+ Cell-touches/particle/step: 1.04495
89
+ Particle comm iterations/step: 1
90
+ Particle fraction communicated: 0.00106381
91
+ Particle fraction colliding with boundary: 0
92
+ Particle fraction exiting boundary: 0.000104978
93
+ Surface-checks/particle/step: 0.000935682
94
+ Surface-collisions/particle/step: 1.78323e-05
95
+ Surface-reactions/particle/step: 0
96
+ Collision-attempts/particle/step: 0.0332445
97
+ Collisions/particle/step: 0.0254202
98
+ Gas-reactions/particle/step: 0
99
+
100
+ Particles: 14016.1 ave 98782 max 0 min
101
+ Histogram: 86 14 4 12 2 6 0 0 2 2
102
+ Cells: 1841.06 ave 1842 max 1840 min
103
+ Histogram: 1 0 0 0 0 118 0 0 0 9
104
+ GhostCell: 47269.2 ave 87029 max 2584 min
105
+ Histogram: 24 8 10 10 18 2 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) = 2.62354 0 11.8125
114
+ grid (ave,min,max) = 8.65491 1.51379 15.5763
115
+ surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
116
+ total (ave,min,max) = 11.9173 5.71507 19.5902
117
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
118
+ 200000 0 1794063 49967 43365 0 0 0
119
+ 210000 129.86104 1795994 49790 43206 39 1795200.5 31.8379
120
+ 220000 261.041 1795665 50357 43907 25 1795773.2 31.88605
121
+ 230000 391.12096 1795579 50307 43632 31 1795577.7 31.854433
122
+ 240000 522.45847 1795643 50140 43578 37 1795516.9 31.863125
123
+ 250000 653.28793 1795471 50075 43512 31 1795585.5 31.87248
124
+ 260000 783.39522 1794742 50032 43465 31 1795586.1 31.862283
125
+ 270000 913.64656 1796328 50138 43492 39 1795650.6 31.876186
126
+ 280000 1043.4625 1794828 50289 43716 26 1795720.5 31.868813
127
+ 290000 1173.6477 1795568 49928 43236 27 1795658.7 31.871167
128
+ 300000 1304.47 1795949 49939 43406 31 1795656.4 31.88063
129
+ Loop time of 1304.47 on 128 procs for 100000 steps with 1795949 particles
130
+
131
+ MPI task timing breakdown:
132
+ Section | min time | avg time | max time |%varavg| %total
133
+ ---------------------------------------------------------------
134
+ Move | 0.015986 | 25.783 | 165.47 | 640.6 | 1.98
135
+ Coll | 0.58855 | 40.258 | 460.5 |1118.7 | 3.09
136
+ Sort | 0.30846 | 13.185 | 107.64 | 589.5 | 1.01
137
+ Comm | 62.255 | 78.395 | 86.174 | 61.4 | 6.01
138
+ Modify | 8.3768 | 69.377 | 452.98 |1045.5 | 5.32
139
+ Output | 0.2258 | 0.22752 | 0.23347 | 0.3 | 0.02
140
+ Other | | 1077 | | | 82.58
141
+
142
+ Particle moves = 179565637664 (180B)
143
+ Cells touched = 187624967672 (188B)
144
+ Particle comms = 190623038 (191M)
145
+ Boundary collides = 0 (0K)
146
+ Boundary exits = 18843207 (18.8M)
147
+ SurfColl checks = 167438084 (167M)
148
+ SurfColl occurs = 3188063 (3.19M)
149
+ Surf reactions = 0 (0K)
150
+ Collide attempts = 6024705672 (6.02B)
151
+ Collide occurs = 4604806188 (4.6B)
152
+ Gas reactions = 0 (0K)
153
+ Particles stuck = 0
154
+ Axisymm bad moves = 0
155
+
156
+ Particle-moves/CPUsec/proc: 1.07542e+06
157
+ Particle-moves/step: 1.79566e+06
158
+ Cell-touches/particle/step: 1.04488
159
+ Particle comm iterations/step: 1
160
+ Particle fraction communicated: 0.00106158
161
+ Particle fraction colliding with boundary: 0
162
+ Particle fraction exiting boundary: 0.000104938
163
+ Surface-checks/particle/step: 0.000932462
164
+ Surface-collisions/particle/step: 1.77543e-05
165
+ Surface-reactions/particle/step: 0
166
+ Collision-attempts/particle/step: 0.0335516
167
+ Collisions/particle/step: 0.0256441
168
+ Gas-reactions/particle/step: 0
169
+
170
+ Particles: 14030.9 ave 98519 max 0 min
171
+ Histogram: 86 14 4 12 2 6 0 0 2 2
172
+ Cells: 1841.06 ave 1842 max 1840 min
173
+ Histogram: 1 0 0 0 0 118 0 0 0 9
174
+ GhostCell: 47269.2 ave 87029 max 2584 min
175
+ Histogram: 24 8 10 10 18 2 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 = 235656
184
+ CPU time = 0.0322238 secs
185
+ Writing surface file ...
186
+ surf elements = 200
187
+ CPU time = 0.00320994 secs
188
+ Processing 9 grid chunk(s).
189
+ Completed grid chunk number: 8
190
+ Completed grid chunk number: 7
191
+ Completed grid chunk number: 2
192
+ Completed grid chunk number: 6
193
+ Completed grid chunk number: 5
194
+ Completed grid chunk number: 0
195
+ Completed grid chunk number: 1
196
+ Completed grid chunk number: 3
197
+ Completed grid chunk number: 4
198
+
199
+ Done in 0:00:19 (wall clock time)
200
+
201
+ Processing 9 grid chunk(s).
202
+ Completed grid chunk number: 8
203
+ Completed grid chunk number: 5
204
+ Completed grid chunk number: 6
205
+ Completed grid chunk number: 7
206
+ Completed grid chunk number: 2
207
+ Completed grid chunk number: 0
208
+ Completed grid chunk number: 1
209
+ Completed grid chunk number: 3
210
+ Completed grid chunk number: 4
211
+
212
+ Done in 0:00:18 (wall clock time)
213
+
214
+ Processing SPARTA surface information.
215
+ Processing dump result file: ['./output/surf.300000.dat']
CylinderKnMa/Kn0p18/simulation0333_Kn0p18Ma5p2/surf/Surf_300000.vtu ADDED
@@ -0,0 +1,38 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ <?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>
4
+ <Piece NumberOfPoints="400" NumberOfCells="200" >
5
+ <PointData>
6
+ </PointData>
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+ <CellData>
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+ <DataArray type="Float64" Name="id" format="appended" RangeMin="1" RangeMax="200" offset="0" />
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+ <DataArray type="Float64" Name="v1x" format="appended" RangeMin="-0.5" RangeMax="0.5" offset="432" />
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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="0.00445" RangeMax="0.53325" offset="4512" />
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+ <DataArray type="Float64" Name="f_2[2]" format="appended" RangeMin="0.18355" RangeMax="24.601" offset="6552" />
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+ <DataArray type="Float64" Name="f_2[3]" format="appended" RangeMin="-0.47811" RangeMax="24.598" offset="8468" />
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+ <DataArray type="Float64" Name="f_2[4]" format="appended" RangeMin="-10.049" RangeMax="10.165" offset="10444" />
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+ <DataArray type="Float64" Name="f_2[5]" format="appended" RangeMin="-0.0047738" RangeMax="1.3567" offset="12504" />
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+ <DataArray type="Float64" Name="f_2[6]" format="appended" RangeMin="-1.3884" RangeMax="1.315" offset="14576" />
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+ <DataArray type="Float64" Name="f_2[7]" format="appended" RangeMin="-0.0075402" RangeMax="0.38639" offset="16648" />
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+ <DataArray type="Float64" Name="f_2[8]" format="appended" RangeMin="-0.13869" RangeMax="0.13937" offset="18784" />
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+ <DataArray type="Float64" Name="f_2[9]" format="appended" RangeMin="29.297" RangeMax="3789.7" offset="20928" />
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+ <DataArray type="Float64" Name="f_2[10]" format="appended" RangeMin="0" RangeMax="0" offset="22244" />
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+ <DataArray type="Float64" Name="f_2[11]" format="appended" RangeMin="0" RangeMax="0" offset="22296" />
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+ </CellData>
25
+ <Points>
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+ <DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="0.49999998503" RangeMax="0.50000001255" offset="22348" />
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+ </Points>
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+ <Cells>
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+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="23676" />
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+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="24580" />
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+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="25072" />
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+ </Cells>
33
+ </Piece>
34
+ </UnstructuredGrid>
35
+ <AppendedData encoding="base64">
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AQAAAACAAABABgAAigUAAA==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AQAAAACAAABABgAAuAUAAA==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AQAAAACAAABABgAA/gUAAA==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AQAAAACAAABABgAA/wUAAA==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AQAAAACAAABABgAALgYAAA==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AQAAAACAAABABgAANgYAAA==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eJxjYBgFo2AUjIJRMApIBwAGQAABAQAAAACAAABABgAAFQAAAA==eJxjYBgFo2AUjIJRMApIBwAGQAABAQAAAACAAADAEgAA0gMAAA==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AQAAAACAAABABgAAXwEAAA==eJwtxVFEHAAAANBKkpzkJEmSJMlJkiRJkiRJkiQnSXKSJEmSJEmSJEmSZGYmmUmSJEmSJEkyMzOTzCRJkmT20Xs/LybqXazjHO8EB5zoJAed7BSnOs3pznCms5ztHOc6zyHnu8CFLnKxS1zqMpe7wpWucrVrXOs617vBjW5ys1vc6rDb3O4Od7rLEXe7x73uc78HPOghD3vEox7zuCc86SlPe8aznvO8F7zoJS97xate8wd/9Cd/9ro3/MVfvektb3vHu97zvg986CMf+8SnPvO5L3zpK1/7m7/7h3/6l3/7xrf+47++870f/OgnP/vFr37zP0dFvxfjWMc53gkOONFJDjrZKU51mtOd4UxnOds5znWeQ853gQtd5GKXuNRlLneFK13late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38
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