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  1. .gitattributes +4 -0
  2. CylinderKnMa/Kn0p08/simulation0097_Kn0p08Ma6p6/Lambda/Lambda_14_300000.vtu +3 -0
  3. CylinderKnMa/Kn0p08/simulation0097_Kn0p08Ma6p6/grid/Grid_14_300000.vtu +3 -0
  4. CylinderKnMa/Kn0p08/simulation0097_Kn0p08Ma6p6/output/grid.300000.dat +3 -0
  5. CylinderKnMa/Kn0p08/simulation0097_Kn0p08Ma6p6/output/lambdakn.300000.dat +3 -0
  6. CylinderKnMa/Kn0p12/simulation0183_Kn0p12Ma5p2/surf/Surf_300000.vtu +38 -0
  7. CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/Grid.pvd +9 -0
  8. CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/Lambda.pvd +9 -0
  9. CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/Lambda/Lambda_0_300000.vtu +0 -0
  10. CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/Lambda/Lambda_10_300000.vtu +0 -0
  11. CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/Lambda/Lambda_11_300000.vtu +0 -0
  12. CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/Lambda/Lambda_12_300000.vtu +27 -0
  13. CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/Lambda/Lambda_13_300000.vtu +27 -0
  14. CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/Lambda/Lambda_14_300000.vtu +27 -0
  15. CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/Lambda/Lambda_15_300000.vtu +27 -0
  16. CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/Lambda/Lambda_1_300000.vtu +0 -0
  17. CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/Lambda/Lambda_2_300000.vtu +0 -0
  18. CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/Lambda/Lambda_300000.pvtu +33 -0
  19. CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/Lambda/Lambda_3_300000.vtu +0 -0
  20. CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/Lambda/Lambda_4_300000.vtu +0 -0
  21. CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/Lambda/Lambda_5_300000.vtu +0 -0
  22. CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/Lambda/Lambda_6_300000.vtu +0 -0
  23. CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/Lambda/Lambda_7_300000.vtu +0 -0
  24. CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/Lambda/Lambda_8_300000.vtu +0 -0
  25. CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/Lambda/Lambda_9_300000.vtu +0 -0
  26. CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/Surf.pvd +9 -0
  27. CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/config.txt +78 -0
  28. CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/cylinder.surf +410 -0
  29. CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/gas.species +14 -0
  30. CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/gas.vhs +9 -0
  31. CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/grid/Grid_0_300000.vtu +0 -0
  32. CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/grid/Grid_10_300000.vtu +0 -0
  33. CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/grid/Grid_11_300000.vtu +0 -0
  34. CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/grid/Grid_12_300000.vtu +0 -0
  35. CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/grid/Grid_13_300000.vtu +0 -0
  36. CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/grid/Grid_14_300000.vtu +0 -0
  37. CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/grid/Grid_15_300000.vtu +0 -0
  38. CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/grid/Grid_1_300000.vtu +0 -0
  39. CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/grid/Grid_2_300000.vtu +0 -0
  40. CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/grid/Grid_300000.pvtu +41 -0
  41. CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/grid/Grid_3_300000.vtu +0 -0
  42. CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/grid/Grid_4_300000.vtu +0 -0
  43. CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/grid/Grid_6_300000.vtu +0 -0
  44. CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/grid/Grid_7_300000.vtu +0 -0
  45. CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/grid/Grid_8_300000.vtu +0 -0
  46. CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/grid/Grid_9_300000.vtu +0 -0
  47. CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/grid/final-grid.dat +0 -0
  48. CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/log.sparta +319 -0
  49. CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/mir.txt +3 -0
  50. CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/output/surf.300000.dat +209 -0
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MPpZ0hX1zisPT62bX+2YSkNigz+6Ov4u4NVdNxUbu4chXhUss2VQY9WYf2/g1FSKfWjM176Xjjj9zZloxA9kbQ0pljLKQcDUpVbUkB6ezl5Br7uRBI1OuZX9HPrJHy1Rm+gpwW/vNp7ycQnw+WGRe51CMbbO+L4NESxb8lGL9Kxvd5ORy7NXUdrySXQk750dvTA5VIeiUkHeYWI3F0nTTV8oM9NVsqEtuq4UE6767oUQdLkvV243N1sOv1zKtuoOJIv2ZasesJhy7WctpymvG0WfKQSMWLfixBZORrdisUqPRW9+GYtP8HUmf38DtksP1atl3eHrGr9PQqx0k6cmhpR0saI93ez8b7ECXko+9jlUXRAtYZehlw0F9U5eVSQ+c3G+X76rrhZpk/Ivcsj4oft/DrfbvxwbVv+3Nd3Nw/vyf5jYDHEw3URdtLxrAokeOdQcIXNy/Yrl971suLjJO+EiQBkEyqfRdu2MISrLTNl9ahjBA5ZoJTg/Dd6nL3GiHYSjzvrnLjQfBB+/E2VEeKt++Tgyz5OOWVTnFa5APt9rZAu8JPnJ7POklZgLg6P65KwGmzN0fpy4TIpye5Gy9XohvnVErKPZCXNByCW+3EGJjROuurAQh9DxDhbn+QmTE5n4k7hOC6z5sfYkkhPWoVtkmGSGSSyeO3xUTQmIq1OBgqQBC8UMGKf8IIGsmaTclL4CRtnFUH5sPZU5hP/EUHxWuTtVaH3kQ3xGosd2bh+m8HN3NS3l4JfgBxjDsSL6Xhcwh2HJstw7sHsJcuNoamYNgWbxbYjHNRXkj0WfTWS745S+3WjwfAMGOpdWxfGCBVw6sxVcGb6vsR6HBj2D6QFNYckx6Sy/mcVPsgYPkXmnTeDbuzFGopNGFM5Mebg8VOmE8/xELWrosl7T0drAZDd+kie8w8n3NcKPkW/RI6fdP1rShR4xQFEprRTfL/9KB2y3YJ77N7TuzGVfyZ1/bVzRhbcMQ0vqYyHlYpSu1rgFNtofqxQzrEOTT8uT4x1pIie0rIIkzYBuWzazQrIbOCWMruf1VkJ9/WAmPE+OpeYTnOL8qYUS3rRRl9uzUpmUl8Npd7VJFLgZVRSdnIKIQ7JVOevVqT8DO4P4uGvMYNmuav7pK5y/kmYvQeNmDUzpZaGz/okLfkgHVQGMl45x0JK0s52ua3IfLdrX3j6foPznetcwx76pfEibsinQ4cQmQk1FPvBgUB+8UeYWC0hhY/XvZ4GwKFeOMnFV/7KRg5Njrg2NKUdiD8F+V3cJxjTheGTMaAvXfPpAKNgdj1CW4cuO5QIz2rJurwgCsJj94Qqvyx6LMw0ndYySk1Y25fXnih4e7Bs8+E/FDr0dY5OCE38+++1/HH+NHVvDlvG5CWqeh/nhHAGSfh58pSQ/CnLmwodhbWFeaUuFkFgxTtdZG9Vgy/opdH3nFg4xaUeaDk5wIWHLTExmE6AWdKNivvhUVspmCKnLFTV0HClJC8zmCGCqcFAdsVj2lYB5/AyrSQqSyr6nSoHxEb0hijIpt84e20HNUkHWUHKkUGv4DIaUZDg==AQAAAACAAABABgAAXgUAAA==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AQAAAACAAABABgAA+gUAAA==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AQAAAACAAABABgAAGAYAAA==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AQAAAACAAABABgAAvAMAAA==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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
+ </AppendedData>
38
+ </VTKFile>
CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/Grid.pvd ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="Collection" version="0.1"
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+ byte_order="LittleEndian"
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+ compressor="vtkZLibDataCompressor">
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+ <Collection>
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+ <DataSet timestep="300000" group="" part="0"
7
+ file="Grid/Grid_300000.pvtu"/>
8
+ </Collection>
9
+ </VTKFile>
CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/Lambda.pvd ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="Collection" version="0.1"
3
+ byte_order="LittleEndian"
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+ compressor="vtkZLibDataCompressor">
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+ <Collection>
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+ <DataSet timestep="300000" group="" part="0"
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+ file="Lambda/Lambda_300000.pvtu"/>
8
+ </Collection>
9
+ </VTKFile>
CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/Lambda/Lambda_0_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/Lambda/Lambda_10_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/Lambda/Lambda_11_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/Lambda/Lambda_12_300000.vtu ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
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+ <UnstructuredGrid>
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+ <Piece NumberOfPoints="3434" NumberOfCells="3300" >
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+ <PointData>
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+ </PointData>
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+ <CellData>
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+ <DataArray type="Float64" Name="id" format="appended" RangeMin="109801" RangeMax="121612" offset="0" />
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+ </CellData>
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+ <Points>
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+ </Points>
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+ <Cells>
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+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="39708" />
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+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="63620" />
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+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="69456" />
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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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WNnYOTi5uHl4+hm/RZ2RiZmFlY+fg5OLm4eVj+FZ9RiZmFlY2dg5OLm4eXj6Gpc/IxMzCysbOwcnF/TH/P4i3fOA=AQAAAACAAAAgZwAAqAMAAA==eJzt0+lPlFcYxuGZYfb1XRTEpQ6haUWhtVRRUaQjtSqLqSBooArWtS7RkWINrig6calSVKRamhIlKFEj4i7QWxKEFAqliGhcg1Xrhksjo1WjM2b+Aj/f7+c3T87zO+dyRhnb9zyWEfHn8PEtLTICxn79qkeFjCvtOZlfbZdRlVgQtCVLxpqOusIzKTLGLH5huztERshDS/XAQBmdy6MHT/1fQrM76WbJZQnbXetSWyslZKl26Xv9KiEyv2HV2FUSelluhOVlSLjxi1hS5ZBQE/BRkiZYgqt00h/hagnxQzY4Mm6JCDtS9Kj0nIinjuZZbaUiWitvduuzQURhfPfNsXNFZNeFRObHiYielFb+e6gI+98L03VWEbemFV8Y9EjAuSvHcpf/JWDT/Dsv95cL8GyT2Z4vIPyHsKC+3wtwa9ML45MFXPSuFyGgyHOcswECvL9JT21YP/RC7YKjNoz75E3Q6yU2tCZ8K0weZkNBjHeiFfbpnamjqq0oWzNhXNFqK+YvzS4JjbGia+fVbS6NFad+1D72r7cg5uB315wbLdDsyY9UJliwteZZv29sFiSe/GDd/Razr68Zs9z/TCtOMft6mlFhdh7YdNnk62eC5xRdWRkmXy+Tr5MR1nehjL4uRqSNGvnvpVCjr4MBC3PUtVvLDb69DagsyLNlRxiwcvOpeYYXeugP9E6dcUaPhuLRx/9boUfy2X17x3+hR8CJFsU1lR7eKUNrdZjROCWu3qVD530MC47VYanpw34rzToMVybkWpq1qLUfXjznJy1c/pea3ElaiBEjqhL9tTg/YGZgx0UNpsbV66J2a2B3PJneOEWDsoyJiR/bNViQsuLQ8Q413FneF6FGzg5P4NlqfOnNHKJGU1lzW8oDP+T99vyz24f80BNpdofTD1e91/u5H2a33Zk7oEuFkAah7vRJFSruZR7rvkyFJd5xUSoo3n0qbOzrubAaJRI8me7lKtHuWWv0GCV+7t9jx3mDEsGxy9Z+2qjA7ei916u3KLAoXdcUOEGB8OSB/ffLCjjpgz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7o4719vAVz+VLKAQAAAACAAAAgZwAAYQEAAA==eJzt2kErAwAcQPELrRw0xLZkEk0SVy5KO01NbNNykG1lyk5ToxRtF4WDlSlKhlBrceEikdhBTbY2jTblsgk5EIctEXH1/wjv9PsE7/a8riNPQK3s9CLiPw8zc1/ONkSUTNvGe7RWRJTM5xwb1x5ElKxydb/PBxBR0pSpnnTsIaKk26aIaRKIKOnPvdUmXxBRMtp3GtoqLUNEwcf0zsdACyJKKmzLxkojIkrq48OpBxciSjr6zI3rs4go6U13TPSHEFEyONh0oTxHRMl0LG/J3iOiZMGS3V4pKkdEQdVvKPWIKGnuWvXp9Igo6Y7NJO/siCjpt3galryIKBmN6HdHgogo+WRo/a47RkRJRUxjytwioqTOUry58IGIko7IVbNTU4GIgj7DyVRNOyJKrl2G4ykrIkr+bbxjiChZOBsK2xcRUVJl6P1U7yOipPlAO/2cQETJ0Y6Sm81XRJT8AVoWcfk=AQAAAACAAAAgZwAAGSUAAA==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AQAAAACAAAAgZwAA5xkAAA==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AgAAAACAAAD4IAAAbxkAAJMHAAA=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BAAAAACAAACAHAAAohUAAJoVAACcFQAAFgUAAA==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eJztwTENAAAAw6C7/g3PxwIUAADAjwE0gnQF
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CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/Lambda/Lambda_13_300000.vtu ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ <?xml version="1.0"?>
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+ <UnstructuredGrid>
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+ <Piece NumberOfPoints="3434" NumberOfCells="3300" >
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+ <PointData>
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+ </PointData>
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+ <CellData>
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+ <DataArray type="Float64" Name="xc" format="appended" RangeMin="-1.9795" RangeMax="0.9959" offset="5096" />
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+ </CellData>
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+ <Points>
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+ </Points>
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+ <Cells>
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+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="40196" />
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+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="64108" />
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+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="69944" />
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+ </Cells>
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+ </Piece>
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+ </UnstructuredGrid>
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+ <AppendedData encoding="base64">
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_AQAAAACAAAAgZwAA2w4AAA==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AQAAAACAAAAgZwAA4QMAAA==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eJzt2kErAwAcQPELrRw0xLZkEk0SVy5KO01NbNNykG1lyk5ToxRtF4WDlSlKhlBrceEikdhBTbY2jTblsgk5EIctEXH1/wjv9PsE7/a8riNPQK3s9CLiPw8zc1/ONkSUTNvGe7RWRJTM5xwb1x5ElKxydb/PBxBR0pSpnnTsIaKk26aIaRKIKOnPvdUmXxBRMtp3GtoqLUNEwcf0zsdACyJKKmzLxkojIkrq48OpBxciSjr6zI3rs4go6U13TPSHEFEyONh0oTxHRMl0LG/J3iOiZMGS3V4pKkdEQdVvKPWIKGnuWvXp9Igo6Y7NJO/siCjpt3galryIKBmN6HdHgogo+WRo/a47RkRJRUxjytwioqTOUry58IGIko7IVbNTU4GIgj7DyVRNOyJKrl2G4ykrIkr+bbxjiChZOBsK2xcRUVJl6P1U7yOipPlAO/2cQETJ0Y6Sm81XRJT8AVoWcfk=AQAAAACAAAAgZwAAgyUAAA==eJxlnXtYTmn3x50iMs0gjIiITEROkYm2TE4RERGRc4lNRCRERERE5BQRkclZRGRyFjmLHMf5bJxpNPqtea/387td+/3ruR49z977Xvda3/Vd37XuR6OlNqX9fXWt/p/5iUdG6dqnaBvroNG6dr9TVmnnMF37/Z8nk19O0rV+4cn7g+R95TXx8xaE6lrLCQ6uveXz3TfFB8/y17V1dfKaFRmma2Nn21fr4a1rg/Pf61k9dC03dHtajyG69uL1mwXXxulaz0uhv12YI/fJv7O0QpKu3T0cOvb+77rmd9u/c9l0XbP60K9enQO69vezhzvN5N/7HojQjy3Rtct/+Vv9La++uyLD/ojXteYvnmz+tlrXqu8PD7m4TtcatE+vPXijrgXXyB7kKt974ZtaPGyTrpVt5nbAbaWuOT14vvfvRF2Lfz3UttR6Xcu7FtTh9Vpd+1D01pzK8jol1rJ2zGxde/X4/arLIbpWEGzvPnSyrln/dtK83lhlnyffno+9G6g+95uHy5zfputa6+UWNdYu0rX1fdI/dZuha0EfnsR+nKdrTb7em19yqa4V83Uc30euP22uVZN58u+D/Lc/GCp2sBmdcmdCrK5Nn2HdZnaMrrWNsnSOX65rRePL/ZK6Rtc86njkOMTpWqPid6eVkc/ZV8gbXH6urn08UXj5qFyvRE+niJ5yvYhQm64Ri9XnJjx8tfWVvN9hndOnWYKutZ9k3XuhrF9bVLnBKrnetbt6y3erdM07e0r3s9G6djDCpkWorOPDEuvy42V9Zucim28cpGs1TV/0ze2jax3ORzVY7qVrfXoee1a7n6794+S57KfBunb2SnjjvSN17cKxSI9twbq26Yf7Az4E6VqAxS0fE/GXjsUC/noyRteefXoVflP8yq38YNlKXdu70vKHyPHKv5bvjhq3W9b1baRDn4HTdG3FpNRMv7HqOnw/JKXc3ytkX1JMHo16M14997XUmInrw3VtiN+utwNlPWtWxa7eJHZ/VzovtKqs079b+g8+S9Tn3P8O/OeBPG8xO+9dprLeFlPtm/YL0LVu2+OGRYm/Lo1KXu8/QtdeV7nc30a+N7rg4cx8sXeRoU2G+0bo2o0RaRfdZd2HOnSYWSdArbt652NFGuq69jY3f98ZWUf/iSknR4Wr5z3zo++j0rPE38ekXg2YqWu/2FxubzlDrWtGe7f5TcSvBttfdigndlt0ecqvRyXeTtbwPl1uiq51eaeb/TlR1x66HqvcQq4bXd3rUnXZ/5abzYtvitK1elVze1aK1LXndjmu9cUOP70NtHgl7+c09NhrK899dU/0iOQwtQ78Z6ZLh5UN5f67tli8nS9+fmtQ+t32cv/Asnf9i8p9RnTIqNpL4i70yvvTjySeZo+wC5y8UsVXNyvPm/XFb0/0bTJ1mPjXsN5phb4L5e9Fh335MFXte1CW6YWNso9/h9m1CghR9svo5jbBbqiyP/s9/0FI9TNj1XMddfDcWkXsOG6/2Z1145Q9yz/Taz0T/5k11tZ32jIVN2/K5Y6sIc89YEvU3IPiB0u+DSjzozzvzxdDutwW/0i7+umP6/N17eLnoT9+k+etMS3pyFS5Tk4pv/cmYs+5tp7Hasm+f91m+m3fYuVHfJ/XPkfC/U7J91f+Hj19+wJds7gX1OiRvH7OLHb/sNj37vyV2xcvVDiDP+G/j1uerNNU/KHHjRDHKzOVP2W18FhrJa/pi62qzpA4qZgcNyV2gq6tCtp+tp+8znsR/NN5XeERfsP3Ww9z7N9N7OVwofDgAXkttzdm4Apd+X2bWr77PvvpWoLj5Z9N+ys/1fo7jews97vjk/GqrcTJ1zYeURYDxJ5Jlp/CJO4HtMqpUMVf4Ri4hj9iJ/cA2+A5m3XtenmPr66C7+6rTByvHRO/j405eChN13w+Dqj5c6rkm31Twu9sl/VuNK2YtUHhk9t0q05LBOf1Fv9aQl2P/UzumFm+41wVR/h1h9ZuSc6yf5mTbdtNEP8oU3rw8y+hys//7J751UXiKLyr67Tm4kdN/zDJ2yXx1fhUsTN7J6n3pyv7XPtB9mehuc/rSosVvhBH4JOz3qSbV5CKm2peWe8aC3683G1xY2ZfXYtdnjh7jODpgs0rAyf66Fp+R/fJP/dVOBs/PWXHEF3hx6W5KSv6Cs6eW5E0dbDgbvSOeN+wXrp22/ZW/feSX/f5ufg0lrzd+XBMp0XyuQkhTZzcZX82XzL5PbGP+t7MC9G1o9vp2ob7hTGbPcVfh2TktpT7Ha/rlVFxkopDcP+vO59Szk9W+Q4/w06e94PrXg9Xfn2+cFDRYhI/788VHD8ZofCV+G/2/uHKYivkORu4H24q+XH/8YJbF+IUTpA38Rc+P3B9dHy67Hflsl5FGm/TtcNbTUodT1Q4VLjG3HKHxHG52u65rdYrfkCc1QxJvhC6QOXBkl2cF3nGqDgl73I9eMXqpJiY32NVHgVX4SHbfsl2d1qh4jxvQ2zkmpkKJ7ALuAduvKx5oVtduW+ZVq6pHQWfEpfEbUlaofAHvoHdyUe+btkmVoKHpe6EW24Vv1mYmDApuL+K17PrEscM7yb3W5IS0b2Trh3LimsRokn+6nXyz8oeuuZSzyflaz+Fs19m2jYcNU7lZe4DXoCv4DD+NPTtp7BD4ncNE6y/BvZRvCB4mkO9ruLHfkXf+h3vqmvZKQmDAjvL/jTy2lB2uK5dmZG6yVvwZaq3S9Cvo1UcgmPm+f4l30rcHphnbTd1iuKdxCH5p/d/Fq54Q7t2rks1ievbcfHrlkUr/LGanbhnhuS7yObum+tNU3l+9GmTIymBiqduO2B+NW6owkN4bKsm3qsKewtfbOsZXkri5ddfvRYU7ym8zNLv+HuxR/mwXantJA4b/Zc3PzB/1OuJ4KFjpF0dP7neubMR2i6xa/syw+69GKny3btVViUmDVe4AC8Gb6ssW7l87lTFH/GXhma3gswXqLyEXbjPYc09tuYohUfkHfgPvBAeBL8kPxIvxwY7jBmxSOEmOEoegI/Bh8G72k1z6tUKVfmHfb98MKrflokqTohP8ix8eESy9cNB7eX7k5xsG7UV3NhreWqEi655Nb5rdru5rg0Pc7GoZKtrtvMci9a3Fz4wIWNz3dbCGxfam3Ryk7ywzLZI367Kz+Ft8AX8DHwi/snv8Fby2Y5d5R4s+i5OWC/4N/ur/iFX/OdepfsdXgjeZt+aYnNAvlf3zftZ2bL/lUamn2rdX8UPfhX1PqjYZXkuu6efFp8IUHEBznuOT9/ZTOLGf5tV7jCxw9Y5DhXadRQel1Hu7ByJu4mjHdu3Fz+rsC129FJ5nu2vXi17OF3xOngEdQG8D7yGR8TcDLU/Kfao5ZxdzXaCiis+hx9Uygt2uSf418mxw84W85VfwLOwH/fDP4ZXy+tceqLaf/IheWd6hWHZ9wXHuk5JS3LqIPm/ylPHi7Leu9Xvtvyrr6onyEujLhbbs1X8aW2DXNsS8n2bIq8DLvmq/Fbjp6ddbvRU9Qn34XvY/8TLkFJHxN67xzi1bimfvxCbHD1A4nxLtun+1b7quWYVH/n4xiDFq4gzeCh4FHc0wjtjhsqXxAl+Qn2AHyZZ3WpbEKDs0Ss+YeGU7+oiPgcegVvcJ/jl87VvYxQPAR/g3+QxeHjGocLnZ5erfdrgmVGiS6Tin9Ql1KlHAu0H6fNVPtuXk3/uivjBhpkrT6xap/gY+W+klmnXXd4v/TToZ7M16jnO/eqS1kv426V6bhc9hNdVqObx0ClZ1mviY2K9QfE5dADq56G1c1v/EKz4JvyMOoq8Ac9jPVVjEpIj5X1CwK4bveXve9ZXLowSPx/Y7ELNiiMV3sNbwwY4D3YJVHELz4N3xJb0LSi/TPk1fA8+QR3GK/eFn4P3xOvNhnlWn3sof4OvwQfBiY0V73p++U5P+TEzukfCCIUb5BPy1tOj5vIJyXtVBx98/F0+SvN37uwoeTneI/t1he6Kb/5wIspt3TAVH+g0fbuc/Gztp/wTfsxzkP/gm8Qp90EPKJ0b8UtKf8VP8H/sjT9T77Of8GfqnsVnwjsenqr2xVjvgmO8glP/JJuV3SP79mRU8pMI4Y2Wp0P75sl+Hk0wszkk9ULY2U/X7q1RPBD/vnk+uNfzJOXfxI+DS0aTASnCk4JshkWL3159Elj/U7zipegC+OGyjMih+yIVbsGniF/qffLe5BWVKy2OUPU6dQZ8kPj9z+0SlJ4VEBF/frPUSTNTi/10SXjxl7f3kn6Uf98cnHh/SYryY/g1+Reeziv+Db+FPz1tnN3UYY7S+66P3XW0q7+KH/yIPIlfgMfwQ+oU8iW6GbyY/IX92A/yC/kMHMBPiDvnxHLlkmQdLXaYfdwyS32OuAdfsb9juumTbdPV/lBvnXoYWjFziHoF5/FD/A7/5Lm2OB1r2OY7v6O+wU/g99gXnIPnG+sk6uj8vSZvMmKUjgGu8gq/Y//Ad/CJfT+UViz/1Gr1/GsHpj31mqr0XeKR/cFu8DjwhnoUvARP4VvkT3jMnD9i28z0UHk59YjZyeUDFY8i/xG/6MjwWHAHPCQu0C+JY/IJeah+17RKwyVPTT2W/+j2ehXPvf/pV6GaxL/Lmfd/vpZ8FNfY5eyAvWKX7eELbuxWegN6MHoReiRxTfxOWmdhumyaqvfwC3gw62pwvWBbZpDKD/BOdAvuAz9n38ED4vberIRDMUvU/lKX8nfqVvRt7NLq8ptL72TdjzdFrMrdJ3jaMKur906Vl6mbWR86IzyZugqegT3wB/IT+saKdjkFP36nT5hHpy7yED8o/jr0257uKr4s+2U+dBym4ox4p15Br0ZHAi9vro5bsvI7vgA/o94gr5F/wQn4xJJFSXEjhymeDj9sdy2yxmqpnw9UG7Y7T/jo8Gf5c/fLeiLMAq7f6a/wj7yLXoPORvxQ33If6kH8P3S4U8+2w1X+I6/BL+E/PnOSfh8/UdWF5El4PjoEegl+GXCvID5N6hGrnx+53JG6dXJ938TXYn/bQxZHJ3dU+g86wuvfKz8Nl89Pauqz+F0nseM/wfcPdlL7Rr0P3mM3dEPwlToC/gu+UofxSr1o5HHoDV5rV86Y/l29zPXIk/BFUzeXNV0WqzqSep88gt/Q1+Bz1M3oxo9KPh3yYLjiP+gh8HnyIPdFLyJPwkvBX/Q08ib5CpxH10AHhx+hB1BPEj8HLQKyrnZW9XHW6Vi7yc66dmZ01tZKTcWvenp2/1hf6sgKbxvvrqdr43/zCvnbVdc+e3YYVc1b4Tn1CryeuKBO43nR0dFVqBPgHVdqdbjbaYfSEdg/8Jl8CP9gH+Ab6BPwOnCTfaYeoQ8G/vC87B/PS15D56GONeot2Jn+Cp8Dn/FL8iJ1LLoB8YgeYlrO71bBhP/VF3gOeA31GvkYXsordiSe0QnRe6jL6C9Qn+GP9A9YF88BDqFnkE/Rv1g3Ohr4SB4g/3B9ngt/gE+Rx7ke9uN6+L/RD1kHcY298Av2Hb2Bv2/9+Dzq6Xd+yz5yfeK3RE2fP0qMVnhKn7JZD/chP3ZUcbJpre0zz1bCS66arZgtr/Ompq+s31Lq8agmZZx+VZ9r7u4x1qyL1JnW9xvdl9fHZ8x2LOyqa1V+uVvrccf/1SfRy8mX4BB8AZ2Pfg/4hR5Hn+PZ0JSP06QueeuW1mCM8JR/q+7+wufqDtj+ty7xVWd46suxS1U/m+/zCj9G/yaP48/ke+Luj3F2XmPF3tWypgRcTVD3WfHYv1nxZHV/Y19lVIn7E/6JUHkS3kxfEbxGt0BPQDdAT8A+Rlw91cMxepDUQWMcjrXrJPaI6eS4PnCLqn/gU9gD/oKfkGd5PvQjXtHjwA3yOvFDHqf/EphXuHHnYFXHe/tm3fylt6q30f/gx+hN4pS3c6Q+6jk0M8feS+lV1NP8O3om+I+/rWp9oUxZydv2G61eje6p8jP8gvuiOxD35Gn4BPkb3m3k+ejZ8Cl0/qYLbCsPGajyJ3FG3oYnoKeSD8FLcAO/gUfDb6l34LPUVejV8GX8GDyCD8Kf8WfyC/UhfkGdCH5Rz4AjPBe8HZ7JfsIP4YHwQr4PXqEzULcUX2jRfPN6xSuo96gbwA30P3CcV2PdRD6lf4O+SZ8H/0ZnZh+oN4k7dAZwBz0EnQ5cgNfhP8QT+RV/wp74JX0T/Av+Q71H/PF98gj+hP6F/oB/4n/4G3ELzyb/Ew/wcvg6+lWnk9HOcRK/RwqCXpzureKGvjl4RN7a3CbL2m2B0omwI3M14B6fB3+Ym+L++A06kdEO9MPIa8SdsY5m/fAR1sv+GOO8ZBXfc0XGqX/Hvuwv/UvqMPSlH/1s5y06IPg3eeXtDZKPdnfe/sv0Q1JHzIm5fOKk4KCT08kxfwg/ezXIwUJ4YuPmmW36btU1T0+HhLA9gqO2x3x7pCnchyfuvv1+1y3xr+4VvZ7VFX+b371J3Ojv8g16LPNe5MVH45PyZq9S+hzf4z28hX1CH2f+g7o//GDB+zz53q83Xx37tEHpifBX+Ah9YZ6TOMEeH5tldPLPEJxple48UurtXEv3V+32qHkZ8Ik+HrjHPBc8Gj7M/sPH6efAe6mL0aPQmfhc1+dBVW6FqfqM+TvqL/waXAZPWWfUIPtJIWvUfB18Ffzi/kb9ivXxHv4P74EfwHvwM15TG51s1Wqp4r/0Ddk/5gXQr8AV6lPiF5whTsBVeCY8l+vxPPAy9h27woexPzom9sbO9OeIb/AI/gofYp3Mr1CfoQ+O32n+MiFErY+8g95BnULfAV6HrkL/EhwE/9BfwHHyAvUD+I2uD8+gD/Dwsun6Je6KzzB3whxC5Ua3LJ67yfWc8kq+bqPmEWofL5c2Tf79/UBXz9pdFW/CL+F/xAl9HXQf+CPxRN0Eb0C/Qy8Hj6m/6GPi30Y84Lr4ucmcym4bkpXuir5IPCSHJVyJ3yh5Z2XMxj1Jao6U+SSeh7oY3Zb9pt4mHuBF8BX4AP5DPkQngHdRZ6IHonfAl+Ef8GTeg4voStgfP8Sf4DX4mWsv59AOU1TdCf+ib0S8UA+R79hneBX7wXPDz4hrcJB1cj2el7rDOP9IPLIO6nJeqTups5k/Af94DnANHKD+J27hTfBT5iGZZ0aPJd6x9zwfh9nj1qv5ZvyI/EbeY5/gw9iLeQ3Wi34KLsM/8Ft0Xvgn89E8J3lz1Z3AtoUpSienb0udxSv1oDG+wFHqXXRJ7Idfwp947gWVvP+0jFF1Jf7P9dDP4CvwP+oz9FP8DF7MHA18BvugIzFnS70AXwMfqJuPLzVvvD9V6epbRia9WbhVzS9WLehTzW6vrpUKt+yRKHVpwb0nh0ttVzwIHX7GnsKiuVvU/mLfoYtjd+/YpHAI/KF/tPPRmw1/zlI4iN/ih/Ah/I3vUQ+Tx+kboifQ36QvUG9ubPb+/eLnl17dLJT1VLTwfNdsi3punhNcgfeCv+Rp4gYdD92UeWT4AXFPnxb7wvfgR/QFvH7w/myTqPo68DD8OXKDSfVzuxQf2+mVajlL1lPiyPvPnzMlHtYXOjw9J/adGPdX5nnhB7sLyjxIV3HAeQRwkjk9+mjYmf4TPBN/GFv3pFc7sc8iV6cdw7epfcfu3AfeSJ/KWNfS54E/wQPRt+n7waf4HH5L/xG8wU7kLfwPP3seH7Xv3GHhW4OTSq2Q1/E9Umxihc+P65tccelRyQtxZr+eEN5f8sAnkw9HhDdkv3n2Vd4f+HJzjfVOxcOZzwQH6Wuh3/yHbiQoPmvki+A2fs57cIa8CT+jnwlPBGfBS3CFeGFf9/x0ebz9RvW86FHgJPUJ9QB8gnhhveDl6UgLj53C83MmWI5IOajstbilc+bgXUo3P69bTdwo9dFfXXbVCBZ/SC+St6j2VlUXce5leU23p96Z6vObtk1Z9iRL+MLUyv22pqu/L7NzvdFXPv9yYfTx7KMKj/o/Gtr6J3mehFzd8+tWFbfYH/2Z+oh+IvvAe/ybfW5R/WRgV4mnPo2cr448Jnnj8KvS5W9KPuhpsyX5hvAgU/eqfa5LHvNJqr7+ovKrLgPtZsxMVXNBRt7FvsJn4T30odGTqfepW9BNyOvECedH0LfRgejbsE7yA6/wGq5jW/+CU/Xv4ov45D31ADolejO6Bn0+8iGv8BXuS36jnwIuop9RZ1CfgPvUS+At+Glu3+FUG/Ff650Rs3LEz2uvi0o8vlXhJPkBfkodDq+AHxFX1IfUjZwjQD+mzkQnY46IOoX5H+oN6iPimPWxT/B/7I0OCN9Cnyb/8DnqAebLmdsCN+Ej+AHzjtid/MRcD3MD5HX0cHCVupbr0AdhLgZ9kLlo9GN0XPoS8Ft0NOpUeAl4SD5nv9gf+De6JfFDn4z18TnqV/YVvkQdQl2Mn8K32Wfe8314FPoU/RCem/gw4jT9Cfgq/Aw+zrwEdRP+z3vm/+l/wCPIn8QzdQm6Fzo460b3og+IXkc9z/rAG+wMPsBvqd9YL/USeELc8H34EXjCdbAPOMD5QeyBHssr66SOZy6DeQDmfemjoivgt+wnPBM7w0vIB/Ax6g6+z/rod3E99A7mgPkc+E19Sd+R58TezAGzH+QJ6i1wk+emrgAHyO/M/8EP2xz99Pq55OOufewXhu9QeRq9bvi8uKzU31X9D9/Fz8AdzmfyHp7A/sF7qf/BLfgYOiN1Bp8jXuF3xr4ifkucwQepp4hz8gf9H+ol5t6YR8De4AV5DP0MncYiOO2Aq4+aL0D3wc+Ycz32ITj/+HfnloxzQPQnyBfoc8Z6DX6HXge+0odBl6Jflll25PmL3aSOt/Hb9ry7mm8BZ+ER6GvgBHFknM/j89gHu4Hv9FU89sX2nu+nzoWgz6DD8xzM4VK/khfpOzK3zLkQzvdwPs84N47+Qt+A/g/7RP7h3B79PPox+AN2JZ6IX3Ql+AV+it5FfMGL4RlzVpvaZ0v9aLsielvWTlUP8XfqSvR3zsFxTo2+Os/PfBl+xfko1g+PIH+DB7yCL/Ab6lX459m2zpt8vuvP8XfswCt5Aj5BviLOmUOkrqLeIL+B59Q19Af5d/ye/Ez8ov8ypzYmxs7cu4c6X49Oi7/h7/t7u/o3GKj6hfg1uA1vJr7oA3H+gTkx5siYH8N/4S34JdcjP2B35tTgrfAC/A1eCZ+kn0Vc0P9C12Y+i74HfIF5E2Nfw8jz4P+cc6EOos40zjVRh8BvyOPMD8Ln2Afmyfg7+i39xZ0THR1aix3npsd1De+u9HDO+YBv6Fl7Tf8drFe6TObTewd+3q/0anRn5oSYD8K+6Kjo+/S/eS72mT4oOA7OgyfgBvN82JU+EPoeeAqPJ++Dg/SlyRvMFXA+grlL/BfcBNeZh+O8I+d2wGnyIuvEjjw39Qd8kHNF7GP/0q+7n3ZX+YXPoSejU+Ln6MXELf1c+lGsk/1NfJc/bkdHdY7txtf8fpuai3919gz41lr9nbl6+jjkS+ZRiFf8EX6Kvs7+oHfyd3gi/Wj2C94HH8XvWT/+T5ziT8Z5R3gv56DAB/Rb8iP9I+bGiRfma9gv7sur8fckwEfqS+N8L/8O7zX2WeBBnH+mb0f9iu7A/DJ9dvIweRceQL6mH/bvr5Lc/k3xlKKfQt6kC56GOHvP+tRO+Qe4Rz6jXgVXwSteqUOp8+k7oSvTX0Dvge9QtxAf5FF0OXQK6hN0UPgreAQ/gH8wJ1Rvq+XdcZ5qnpi8Rd+QeWP4IOeW2Hd4EPGM/zInDC9E3yFfUS/QZ6KOxa/BReN5MuoQ6lvqb+YlmROGd6BT8T3yJ3HA3BnXIw+BE+RF+jn0T9BLmbuBj6BXcu4IXpU6JPlb9E51nmHUuIQXiftUvUN9Aq8Gp9lX8gV6MXMY5D1wh/Xhl9S32BW9iPM76C7Ynz4ndQV2ID/AD+g/Mj9FXme/jDoROAUeY1d4FXwP3QHegY5DHYku+i3veU7x3UrXRZ9HHyZ+qLeo4+El6F6ck6Fviq6CP7AeeKXxHCN6ObyUc130E3g++nbwcfoT8GriFV2bPhDrYv/R19gP+uzsC99DD0Bnwb70Z/g7uESfAd2Xvgn9D/ol9I3QD9C9wGfuw3VZF/1S9D7qE/DNOCdOv5jrwZ/oy6D7E4fYAX/juuwnz00/iv4KcYqd0RHRFdENeQ7qB+bvuC/9C84Dsl/4K/UX+w6/Jh7RC8jTzMcxl8f5T3g9+Sr5RrGEDT0VP+U9v+sAjwEPqVfpwxp1HfYVnoFOAc7AJ4h/cAU9jPhF1+Hfqb/Im5wXg0+QT6h7OZdKnoYXoJfB2znPxrwN55rgp3yOeQzuB0/F79Ct0BWZX4SfUEcZdWH4LOeCwWHmQDlHib3RI5ibJH/BW5iHgr9QH+IP6EusB/6K3pG1bJd/vRryXBtTemp1ZD2FIXnbnXWtVo75pog2ipeDe8Z5Q+yP/Vgf/84r62G+ET/Cf6jb6NOjS6Ijw8fRCXkP7hP/8Ehwm/syL4kuQ96Hn7B/xnlSzj3Dz7E79Qv3ga/AN9GX0aPBPfI0c4HkBeKDvAovRF+F36Kj8nta8FXuR97ET4lD/BXdi/XDo/l36gtwlTg0/l4OeRxeYTyvQn8Me/A81AvwPOO5E/gM38fvjX03cBo+wvWwD3YEp9D/+HfyO/tmnAfCz5ivI17h+fD7y11zHpX8TZ0vRL+h/kFHpN5gHcQR+8zzkefII/Az6iXwAD7C/jH3B36h637s4zbAuofi0awXvkIeph+ETgKvQNerlRK5+HSK6kOSp+Cv6PNG/QZ9iufn/Bt1FfUA+wEess9ch3xHfUj9Cl8lr4IX5HnwBB2OfETeh4fCjzhfQ/8VXkJ+hg/B76kHWB91K3hh7FOzn8QXz4NOCw821v3EB/hBnwxewFwN8cp8O3o8eYD70b8Bn+A/4BTPid5CHNI3ACeZJ6NOZW5h6ufrmxocFjy6GuhjelDNRcB/jecOWC924Lk57xqjZ+61cRXcuxdVGOmg8hT1KHGBLoFuAH7CZ6hTwF3qcPQ0cIq+G3Uqf6eONp6zYn/IY+AJ8yn0hZg7gXfDL5l/os9EXsP+5E3yOjhNXuB5jfW/8XcswR/yAXFHH5X36DxcBz0KfQrdDb6D7kOdjp2xJ7hLnUk/DN5M3cp78gy6o3H+lzkg8Aq+j92wB/kEe/E7DtQXxDl1GvoC57pYN7yKvMnvpvF7GOA9/bBrLpeLFrqrOCJPsZ/Gup2+AfUn9TbnF6inwCfswLwH/Qn0G+xBnYfd0VnQpf7/fP9/dQ/4pfF3J9lH7ISfgBfEETwCXgRuw2/hLfyuDfmKfiPnpfEjcIHv8zzon+iX8Ga+x33gveQV8h44wTwy1+f5jeeEiQ9+Z4R9ZN+os8Fh9gX70zdijo/+MH139hu+QpzTJ4PXsj/8nfqMugd/xe7wV85D8btE6PI9RmUcbtRNnVdEf4ff/BXk3My+vaqDuK9RvyFe8Wf6XcbfFYPXoLeQB8EZdBP0O/rhrJ8+F/tAfsU/qSfgBdQFzBsz34e+yf4Rp/BI4hX9zvj7Wejs+Av+A77iV/A8cIP8CR7Dy4x9c+pK9Ff6GtwHvg++kwewF/iOPeAv2J1X8hX9Vepx/BI8RpdBb0YfwX7kP+KC/cGu7Cs8l3kV/ITr4D/4F9ejz2TsY9PPo55FT8Z/0CexT50vb0LOfdePIn9RzxI/8AXux/MZf28JP4EPwJOIM/pi1NHwX+p27gN/pC8KrnGeALyHP3GugLyIHmzsF6K3kBep18BB/Jl5FPq+5H/qE+oh1ks84y/0waknqKPID1yP+CLfM3/NK/mcOWN4EnoZvJtzCsx1E8/gEHhAPqe+Jy9QN+EP8BfqPfgyeYw6hn2h/qT/Styiv6E3gNfkG/zYOHfH36lv0B/oFzNHAc7zPDwn6wV3qBvIk+AVfWF0Mfg2+RGeBI+kngNvwF/win4y/SH6zfAi9B/4IHbDT9AN8Ffwhn0Gl4y/g8hcKH5B/kVHpC5inpK67cGUxDPz4hU/x8+4HzoM9SPXo97Cr+E79BupO8Eb7A9+YH/qDvIe73lecBV8AVfoq/A5no96hL4I9arxeujo9EfAc/R7szHWo5fvUucZOBdDXUJfgH0gzsgv2AFdCN5EfUkdRv8Ru3Kuhblm9hd7s1/MBzOnR9xzjoq+AzoA9gd/6IeTl9AVmCNiTgR+jV+Sh9gvdH3qbHgweZd4gS+g+7Mu1o3fotdhT/ILc4bwxlc9t5eb+N15Mvox6GfEJ35GnDGnz++zc96H+oB5KOPv1mBP8gn7w9wkdsePbp8MGfJY6pO2GfkFj/eocwtlthTUfJkt8WGeM7t9ljpHzXkKfhe+Sglv8wbifzfKeJZ2OajOR9S54j+4onx/1t17F2ueEfv94vLA/5TYMy0k9ou87z7T3O/MBaU78Ptn5Ev6rDw362dOlHMxnHPnHNGJU6/emZ7WNZtbQ3tWOaHOxwzJ0f1LyHN1TCpW96a8rintUb6zPN+b8Nh7R+R5qrRwvDBFvr89JurctYvCB6v+ayCpd+qlj5h6U/DVze7EmvtyHWe725s+CK89NSja6Ys8x4UBU1vJe5OPl/Z3kM+d+uNNEZMcdW4rrPDqisYZ6v9RaVkpe5L7ITWPx7l0+sac6+ecCPbhvH5+7axhfkfVOSDOUTFHy335PRb8Az+g78U5l+j55h2PyPfD/7qZZifXWzrUKmbbJV3rFWwRdvS6+GdlV1P9jvCzDaF7/7kncexrvXpLrsR1/YyBQbLOq71s1604K3Exq5x35hF1vmufc5rbpOPCf7vZJ0cdUXxo4q03Gc+WKdyl7qPup75irgo7rT0XNODzTtUX/D9hP1t9AQAAAACAAAAgZwAA5BkAAA==eJx13HucV2WdB3CdVcPLKtmamQalaekOYVaWYp11KZVNRdMAy8wWwdAwbfB+CQdT89bgNTVHTU1D8JaGC3nGazKSGkYOK0ZqgCZeQiA1vOyZWd8+vT6+Zv45r/Obc57L9/v5fr6X53nOrBEbtPz7GXU1uf3sTT7307qaN7pjfOtldbViydoLdr++rq4euOYZ+1xXVxsOue2Kl//p3vPXjdj2ub+fX1dfGHJc82pdPdD95oZfObWuPjZ45fdGnVxXS0e3TT74vLrqGLHbI/d21tUmk04cMfb2upo27vCTp/6+rj45omfP+n/rqu+ytK4un77vRvOeq6veUX2w+X3z2V9e9fjddbVjy/JZp9xTV13j9r7kgfvr6vYlB55140N11daz8Su7PlpXm7ZvceH2fyjvTRj9sSWf+GNdtba/PeOQB+tqTO+0Hqmr8wZ1zfxr8/wXR8wa/8rDdbXO7O8s/Pnv6mrRki3rD/yqrj67cuSRt/68rhZ0HrDxVb+oq2rSrifP/VmZ76dmnH7/Fy8uzz086Ltrnz69ri4Y/eyHOu6qq7Vm3N3xxxl1dUXPgq2nzayrr424YvI295b22ztaD26ZWeRwU+cFiz5f19Wu7c88+NPZdbVqxS+23OS3dbWs7Y5NVs8t8/bcV1vmz7/tjrp6vfXRKbP/qb3FrS9MOKOrPLfGpJ8OHXp3kZP5G88po9d6+5vddXXnoB8t2/fOuvrruH+bO6QZ9wfGP/HWRRfV1S3dH1418Ny62mHpTVsvnlJXu4y/aoe3Gn2eNvtXxyz8Ufn/IcP+PPLcS+pqescrFxx2ZZEX/AxY+tzyEy8vuIKXZwZ9dfCsqwqexo+YfNk3fl1XvVI5b1pdfWP2i//ZdkVpx/v04n3jvq1ndrXoxjKfiX2Aq6v/Hjhmp9vnFBx57sGe3obKfO9ptNZ5QV21XDl4twE/qatXB31qp5cuLHIk7z5Y39TgdeUOZy25uLxn3pd3f37hkw1OLunY6IQdbyz9Ge9R3UddP+mWuhrV/sDTv7u5jN+8NptxzbR1G1y92LlL6/xmvr8ZPWPP1xr5bDfpoLGX3FBXh7ffsHqNa0u79L/97E9stH6DixtGP7TD/bcWOdzXecxrh99Wxs2O3XtfP3Cuf/Ngd7t339i2wZxyZV9PTP/HgRMfKHg9sPu8c//jN3XVNP7S0l8WOdGjefr9I0vnrn/LT4r89Q8HxkVvR7dcNmDzziJP+DmzZ9X6x9z3Xr6Ad+P13MvT/3TM1f9TV8cOHLbfc78p7ZAnu2Vf8OB9OPP+eit/vMuIWXW19bDeERQeIA/twRP+gAfzgSf2c3r3/vfc0Oj9rXGvLv7O1eX664GLrzrt0sJH5OZ98oI/+IT7g1Zucu1mZ9fV4x13PvjYGeU5/bHrDQa/f78tf1xXcwc+OOvOxu7Pajl5y5Hnl3mYJzyR05VLjj/y2McLvx8+7t6hq1bU1ZOzLr9+58V1Nbxjysbjn6irZ3c+9/b9F9XV6p2PfOTMx4q+Lu285f5/eajwtPb8Hx+yI7imv3MGDpq4xa0F3+xs5LA3PnfANQVHX5m93rbVL8u83dNP95Lq2j/Xxa7YEX7aashFM7f6WZH/kz2ntu3W8MeESe+79TMNX17UfsTQCefU1V5Dvrns7NPKFY/Si+uVLQfvMuX0wrvnDbtuyqof1tVTA6fNf6Hxr7Pe8dueo59N+34o7y0e8djnLvh+XT064uXNv31iGQcegRt4IB/2BmfkhHfoe/64T9/6eiOPnYdttsXWN5f/wzt/xj/yP+zT7/DSZ0bN8x9r2fDq/2r880Xjzhz7rSeL/0oe4s/xe9qhdtmj/9On9vCX3/lRONK+8WmfvbJrcuHH9E8eeEM7+CfljhfFT/CyvOeQc084s9jrpbMvbhi6aXflwgZxjT7aNz157QkNz/UZSsGJ9ugRr6T/whd4GJ7Ede7FBfB9yqTnHzr0+EaO3U998vij6+r7s39/4PVTG/ueMWHRUWcV3meHcMVe+Tf2xA75HzyEn9g1e8Q7/B35e0/cJk7lb9ibuGT16FGXXdjexE0tw0fNbOQ6pne4pxR5sENypR/tkau4yLzJAy94z3z4SfEjvMAHv0Qu2Q8+gnN+id8SB7HH9NPsEN7Zs/74YTjBd+I3PLL/pI9f8nZH4Vd2kvbJXtaYekpD+c04lk46YM/vNfocdvjMb323sas+ATV5Q6/Z7930M+TZrx349UbPMzZu3fDQxj5nHz9t+BHNvIZ8ae27jyv6ELclf5mP/s0TPviztBPzdW9+nxh/14ce+vF78x/2CS/+j1/pn12Ip9kNOew7fsqeO/yg2B2/Sw/p79zzx+wAH9OXuItczN9zcIAH8Tt5waH8RX/GRe+u/GH6vx0H95x+1lGNPob0ZopFDvAMT/Ry/LB7J9zzT3EK/9a28rW79vphudeP98ifvNkzP6q99MfiKnZmfviI3JOv4ER+AIf0Th6ZF3lOv3hYP/JDemG3/GD6MXZOT/ICdpd+HM/wZ3AgvxZv8Vv4RJ4qrn5qxX0Dnp5X4rq9Bh49ePL88rt4zrjEV+oD8Ag/5M1v4EfzcY+H4Jz82SX7YYdwIc4zL/6ZnPgXPIZnsx5C//QJR+og8CZeg1M8kX4Ijxkvu+BntDutfd8moir8xz+L9+Aab+kXr7AL+CRn42Av2men+nGP91zJ3/jhmbz0w37gjh+kl8x36deVPVwz6OfzPnJ/iRvhUb4gf+AfxXdwCd/sZ1brNg1FlXzE79oX18EhvsWv/Ab7ld/BFX/kfXbADtnvo63r7rPf3FLPmrviqZem/6nB1/TPbrv2n8rvj7c9tvq3Pe/173CLx13xtvxJ/OR3eoED9gNH/CRc4F+4gHfPi7/EZfyV+eMb4yAPPGA87I6cxIGegzv8mv6RX2Fv7M8Vz8Mh3MGnccEP3Ikr4ASf8JveE+dnnoQP8TwegmNX+IUj79Ezvav76cd88BN7pB9yIx98k7yET+md/8Rruy+dWn3ouOKX+W32wP+xX35Pf/rRL7llvZbd8kP8lLoyez6t8+Fpjzb2cVDP0AX/urDh1TX3mPjM4iY+WHLxqOHPFPvWPn2Kc9g1+4Vfv8NF+h/z9Tt8GBd/LT6nd/aQcbN7uIMD7ciPyQV/farjqtc+vbTxG/9PlO/6ZXmzeeBjvMTvwSd50Av/JP/L+oT8c1nH5U+vc1KxL/hhZ+xdvgK3fk+cw4M4SV7Fr8G3fFI8Aef69578WbzNn6mniCP5Xf3AsXb1m/kl/OtPnMCv4SnxDx6TF9ILHoMHV7iUj/D77HDijKEbP/GD98YD5nfNsDOv2HZSudKb+CDlxp+bv3GaD/8HH67swnzwMR7CP+SoPXikf/bCnuCX3cAN/Hou43N6Ff/QAz/DD+pXnKF9can/G2/WBfGve37TfMmH/thPEzy+9NFjSn68fcNeHxzX4H/Y3vOmHljy4ZFjnllz3H4Nf1w554JrDy/xoPaNE07YBZwZLx7jT9kd/mxp3+mENxYVvhV3pz8Uf5CTeEM/4jr9ZXyHB7POSn/uPZ91nqy3kAO/m+tUcOk9vCQ/Jic4hO+sL2Rcgzf5Y3Gja65LwTWel5flOkXm3eZlHOaR+a/4K+t85JF2pH3jggd6z3UG/eIxeE8cZr2YvOCC3sVN+X/6MO6M9/gF45CH4Xd20sdajT2N7/tr5tey7lmDxzbzHnHHyAfHljoMO8SL6k14NeuT9MBfmg/5icPYI7nDifjmgembDt+p8ePf73y+8aAlbxZX8pf8uPdd4SXrz+SHh9kRecs39LND95wDFvyh9J/rKuYBb+aX69L4U5yW/ZBD8io+IY/e2R2xoOQ/4inygCvzxC/GJ151lffCL1yn3xffyIPEu/iaf5X/io/lz67ypFxPdw9fcOdevV1czT9nXQze2X366awnZJyvLi3O0a9+2BU7Y3/iBHaQ8YD4BW7oGf/hOfmTOJz+3ec6Kv/Db2S+pr/EBbmIa8wDj4vbzZO+6Yt84MP7+Mp45BXykowr9JPrufCYuOSv+EHxhHVc9/AgvqEH8mN35Jt5Vdq797N+lnVO8oSX/upbcMf+cv8RPImP2B18khO8kQ+/75p1C1d1Cus9rsbHP6bf4p8zz7eumXEPO8C3+ocb/jPlIE7L/CDzaPP3Xq7PZ34t/nVPn/J+cYc8TH3p1yvenH/cX0vevNXAm5dt+kLj5+cM3mCXV5txtG0w56CXyzr+8YOevOKOJt++rnX4Fsua5+9pe/np8//yXt5Xf4I39WL3eMF4+AG8L3/3nnt+h57kyeoo/b2XcT7/7Xf9shPyeGznaZd99PmSb5u3OA8fiAvwnvnjMXihfzyW6znJf+zUc/gBr8APHMK1eE575qmuz1+bB/7yPD7xu/m5ZwfiAldxJr26siM4JCf6UyeEe7yCd9gvHmQnnhNHZt3RvXiG3nO/XeYd5E3O8gf2jYf0C5fmqX39iuezTsnvaE8/8iJ+ze/s3PP95fG5Huj/+hNniF+62j87dt6kcq+OoI7S3bLNkcuOqKutx2zxyBuHlf0IuV4rboJLeGIncJn5t/WujBvkVfgl95nAYe77wAfahXO84P/sIPeb4qPcn2Q8Wa9jH7neIU5xpY/UnzoBv0teub/FuMQfeMs9XhSXkT8cZj0dzvASnGZdG56z7kbP4p30p+Izfld/+tee8XoeT+u3v3qtq/f0m/P3f7yGB/wuzxA3ucKP+qp6bPoh+Zp9yvIr/Mfved975GVc5pt8Sx5wqz/xp37tu4Zz60fq5MYlz3L1e3/7uIwzeTT3ZRk33GZeqT18K44R/4lvxEdwxu/lPmzygSu8p/3kB3kzefD34hr7F60nkCs5iYPU4f2ffslRfY2+8I/4iDxynYf82Tm8ZH2AH7duqJ5A39YFJo/r9ZyNX+gzuJJnG7dx6k8/8jJ8DJ+5X4Ee6N08ct8APteeeSSPkaPx7T/6S80USzxmPkcv+dUuG73U2HnvdpO3Gjse9Jl9Nnu7iX8HvT7l1GeLHeS6kXHoJ3levAgP4mT7Femd3PVjnvrLvJZc6BvfZl2O33BPzvjC1Xz4LfOBs6m9dPFSuS7oTUP+3sQfPROuve6VEvdv1nHXojeXl3u40Q784cHkPfwGzxkv4m3zzrpYxkniKbjSH7+OV9TByIHfNl5ywZPiB/p1T5/my37E+QP6Ap8iH3jEA/IjeMAr8iLnXr7R+b5jD32xPN9b3b/pbwWv/u95esJH8A+H7NY8xCV5XoQe3Jt/8sPIQR88bK8VdbXNoH12XLJeV7VezzVHfrG53rlmb6LfVZ2z4vONi+96F0/8ofYy7qJXea24R/zL78v35S3iCH6dnbjP8xb8onnyD67ed4UveMw8x5XfEt/IqzPOyX2q+uV/1I3Yvzww8wy8z56MC6/ge/4FP+HJ3F8tftGOOIddGae8Mdcl+Vv6UccQt8ozXOUnGZ/RE79hPFkHzPqB5/gL8iHvzOvMi9wzTuD32Q0/qL+Mx8S/6nLmrw5rX7T6sXqq/4tvXcnR+OCPHzQO49U/u2A/9AJX+Zx5ey7zcjjt79yQqzhKvpn1e/aRPI2Xc9+RdsWLeBz+3ef+f3zCftgxnBof/JoPnqE/duc580u+yfUqfs18M1/Snvfh3Ly1k+uA8Jz7ll21n+vu8sTEQ55bzLo8/eNp/iDrVfCpf7yqvdy/5zn4kF/mvjlX9uB9/eIB/fe3X4Z/57f5Y/7Merbf+fHMi8R9cMb+xIHu8VL6VVf/F4dknuE5dskec12RHskx46isI+Z6lnqS9Vny1i4/po6mToO37C9Q94Ez+1Hz3FLuA1KXw3PGlzwMP67iA+tq6lLqSepP6zSzuumkMi48S47qFPDS3/48z5MPueX+fVf8rl91ePf23eQ+ZOsd+Ed+a/3Guk7uGzdO4/Fc+hd6yv3G8ECu7Cn3m/OvcJr5JvsSZ8gfvzDw/LX3fKrEof7Pn75bf39HLs6pWVc3fvvL4EodwPyzzoAPcl8u/hRP8Be5PifvSz+HNzMPY7fyAld2zr/BW/qx3O9BD+wX7hLf7E2dFq7IDR4SL3CecXOe+6YX+8isb+sHP8Ol9rIOBzfiF3GBefLPrrmPJ89f4K08/+L3jG8yzsOT6kv4Wp6Z+5roHS/y4+yHvdEDPsh1yDxXhg/xFz7Db+pZ7ItdyQPFP/xQf/LNc8P8rnHRs/HluQLzy3Px5KNumvEJ/oAvPIjX3Fsn5mfwVfIZ3NsP57yj8ePpjC9yHRmOXHOfg/UN+shz5uYH5/Il/eJT6yjmqT385hzbqCtvnLHg2439r6yX33Fo+T8c6J+/tK5kPvkdBVf6oX+/kxN7y+8G4DW413+uH2Y80t85KPwgLyYP60e5roVfzC/7xwe5roe/yJ195vp2rrMYt/1xuW5H7vDP/xgHnLJ79/j6/EkPL758YrFzfArH5IH3+LPMj/GVqzxUnm/dyb18X57Pz+Q+On4BvuW1eQ4h62DiAvEH+8Fv9hOTA7vyO/6Dc3rPc4rwZF3I+OE+v0MCJ+n/8WKeJ8t9sPQND7mPgn17z3jgKNvjT/CE8ZAzv8MPqc+KR9Qr6VFcJY+x/mDfQZ53yvX91Csc5T6E/C4CPCZfmBdcZhwGV/TieeMQHxhf+nX6kg9pL+sLGVfxR+Iqz+e+J3W0XBchf/Vh9oMf8zs17CD3RRl35m3ml+cYjUtcajzszn3mp65Zt5a3qgual3hBPJzrNfJo72Xdlv1nO/AEx8aT+8usl+hHXCZuwc95rsq8cr8IHMFr7hPPdV3xk3w/83dXeNMufRp3rq+wU3JWRzS+XMeVP5AP+ef6Re6Dkn/ROzmYZ34nhr8Ub4lHxPV42v5S/Oze+XTv5Xosf5h1nfyeTtYp8DD7z+8X5T4gv7PD3AckT+RPxHf25fLT4gJxht/Fp+KSPNfkOXGl/sSh/ID8jT8zHvEJuWVdWDviDTwsH+KXyDv3L/NfrvhIe/xl7h80n/yO1SFjHtj80t2bcTRss83e5RzKeu8/csDXDytxee7rdCV/8jM/v7uaT/pXeHFlP+yGfWRc7or32QU/hLf1m99p4PczPsn9pHCVchcH6ke8Ah/uXXNfn/HzC3k+g//J7/iwd3EsO9UPu8GPWS/M72GIg/0uj8j6Y36fjh/P/XPiTe2Qhytc4tk8d+Ka5+1z3c37+MI9+WR8SA5+Nz9yy/1A8Eg+7EucL773fQvnT9iL/CfrBeZBb/RsfOlH5Nd4DB+40iPe0R97NB68kOsj/LA6Fj8jrlDXE5fw7/yp+FX8RM/mw/6M37jYD/4kB3xI/3BGr9pjD3luEF/kPX/LH/H7WQ/N89XiEnGQK/3gMfOD7/zOR8YZWR8jBzjOvD/jfPOhL/EDO9Svejz71l/mWTku9+wkv++IJ3M/mX0L9uW8eOqog+c8X/ZFkGeeOzAO/sG4xS/2m2439ctDrxlT/JR8NL/rw7/hPfbGP5CnvMe82UWuu2Xcmues4Ahv5H6f3M8u7s59m+wq89k8F5DfZcp9Dbm/k3zwT+4/wNvuc98xv8nv5DkHdY7M08kz1+nzO6aZL/Ir8oOUj3yFvYr3c19Vfj9Ge7kv3fiMG3+za/yJb50vcfW89TDxtHHwK/3ty+en2K98Wx4onzLf3CdhXUIeSR7kSe54gb6sv4hj2E1+dzL1CCfsQvsZf+W5VXhRf+av1IX5NTjCC943Hv2yd3FzfkcHTj1nHu7JI88b5X6lPNdOj/QmP87v/5E//cj/Mg+nb+2xc7gjV/rxf3lG5j3GLX6FU/G4PNH+Feu54pq8yoP0m/Wb/J6qvC7zwtwXnvV87eb+I/rCU/SQ8Ux+vwwuyZce8DN5J3+y1zxfoD1+Idez4A+u+J08r42P6TfXzXO/EXvyf/rN77qQA37P7+aSe+7T7i8fh9/cX+j/5IfP6DPPddOruJC89acd+El8eT7XsfXLLvitjPPIJ9ejxM15Xo7e9Jf1x9z3B79wwM7wrDhcv3CgH34mv1OgzkT+uS5AH+IJdSb6zvo4v5rfhRB35nkQPJ84cZ/fBc7vduY6pX74e3VEfjj9uXml3M2ffLRnfvIQvClezfUfeKCnzIfpgT3iIfNgZ+xSe/Trd+/Bce67y++2vrs+/E59gp/G88ZjnNrJ77CxN3xlfvndFv17L9c98Cz+xVfWk7O+lf6GHvI8lHhHXpX5L3zldxDxN1zkOQV5UZ6XyPe1q7/8Hrj29APX/IB55PcVyRH+yb+/fQvGq7/ML9W3PJf1a/jHD9leyiP3wdsnl/vXxd35nbL06+SQ+TrcmId55T6+XIfI719ZN8nzTvldLHJJ+Wf8xi6MO/eJ5H5Vfij3iePHXCc3T3xsHomn/E4fv5zf9bWOod6iPXglbzhjZ/bp+z67dWPt5vlKv5On8dOPfCTzMesgzjs4t3BS68nPtf+j4aWGfdf5WzlH7TyF8xPWPdULnI/4SufHv/WZ10s7Gw783by/vNroo23bm7Zb3eB/+tkLv7tG17t1B+cRjAtOjNv8ra+Sj3PuzhFtN/q4S85+rcHRig83GivnYzxvPgcv+f2WC18v41mr44n7u99s8qSdF4+/c82uavvOXYe/vVZXteu4N1afs35XNbFt7An3btxVnXbqs4vu27qr+mTr8sm3bdtVTegz8PLcw2v2bmAt5zLIjR6dz7dvKL8Dl+eVyMc+WPpxVa/BA/q1ny/jjPzunnMr5HTfqb0BQVc1f4+vLnlxQFfV56437Kq+1jrz9g838z+097PP65R53jbrj22PrS7v6//06Ues+tnKBt97vH+zUcuL/eN7vCt+41/lV+ST+xbZ0/8BWklIxA==AgAAAACAAAD4IAAADhoAAL0HAAA=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BAAAAACAAACAHAAAohUAAJoVAACcFQAAFgUAAA==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CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/Lambda/Lambda_14_300000.vtu ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ <?xml version="1.0"?>
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+ <UnstructuredGrid>
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+ <Piece NumberOfPoints="3434" NumberOfCells="3300" >
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+ <PointData>
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+ </PointData>
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+ <DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.062126" RangeMax="0.12209" offset="20852" />
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+ <Cells>
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+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="43284" />
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+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="67196" />
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+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="73032" />
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+ </Cells>
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+ </Piece>
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+ </UnstructuredGrid>
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+ <AppendedData encoding="base64">
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zsLKxc3BycfPw8jF8hz4jEzMLKxs7BycXNw8vH8N36jMyMbOwsrFzcHJx8/DyMXyXPiMT80/4/wFi7RoHAQAAAACAAAAgZwAAzAMAAA==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eJzt2kErAwAcQPELrRw0xLZkEk0SVy5KO01NbNNykG1lyk5ToxRtF4WDlSlKhlBrceEikdhBTbY2jTblsgk5EIctEXH1/wjv9PsE7/a8riNPQK3s9CLiPw8zc1/ONkSUTNvGe7RWRJTM5xwb1x5ElKxydb/PBxBR0pSpnnTsIaKk26aIaRKIKOnPvdUmXxBRMtp3GtoqLUNEwcf0zsdACyJKKmzLxkojIkrq48OpBxciSjr6zI3rs4go6U13TPSHEFEyONh0oTxHRMl0LG/J3iOiZMGS3V4pKkdEQdVvKPWIKGnuWvXp9Igo6Y7NJO/siCjpt3galryIKBmN6HdHgogo+WRo/a47RkRJRUxjytwioqTOUry58IGIko7IVbNTU4GIgj7DyVRNOyJKrl2G4ykrIkr+bbxjiChZOBsK2xcRUVJl6P1U7yOipPlAO/2cQETJ0Y6Sm81XRJT8AVoWcfk=AQAAAACAAAAgZwAA0CgAAA==eJx1nXlYTe33xk2ZRYY3IlNkyiyv+RGZMotIOedIlGEnIiIyRURIRERERERERIYQmTJF5nnI8JqJ6Pe87/X9eFznun5/7SvnnH32fp617nXf91r7cPg+5udjH024BMQc9J6uiebHTLIS/DXx5tnHtVd9NbE/wqJU4CRNtB9pO6zvH8fPp/Oups7XxF9ZPh0eLteEz+vsDe9DNNHDttuevxdr4sQYm+GaPDYqccfbdIkmCg1sNWfgIk2MHJyY57pUE0NOBOjPyOOlvOH5C8j3HTyVeycjTBNHEgvknFmniU5BFm3DV2tiQp00xy5bNbGrbrpDqzWasCmX5VZ2oSae2J00/ztAEy+/vAm47aWJ5L72k+u5a+L13vK35g7VxGTfZq0cdJq4Mzzpftfxmog1eTrunbzulUExmzxGa+L43703WHprotyu5V4rJ2ji+r7g0THy/v/eXeLz9nmaGHDL1/baXE38Gtt4iGGmJv659yX20jRN1Gp+oX5NP02Y7Q8xrNHU5/be/ZhwJ0gTVY77e16P1ERck7R27VZq4qRb4/Gjl2nia0qBR0fl/YelznFKnq2JrM3LA9fL869KDnQ/EKiJc6VdnxaT3+tZ/o6ziTxfhZgw/+WTNeHwv/3J9bFxcJffb5rjUfj9H5//eDH3VNocTQS2dNhWX17n3A7dIhrJ99kmFX2+a5Zchydvdr4J1cTbSleHWa3QRLMfDxcXXqn2q0sXu5VCfm/8mzernsxS1/HYP+rconC5rkfyss/Lfbib5jvimdyHgkvLt9y2SRMtXz3f9kvu0/TzX248XK+J7a1ONuoo46BtlJlZtNzP+4sj4kPl/i5YV9Qmfb8myoSa9HqQqYm0IgvqeueOEQsGTDfT0txF5M4LZW4+M4hjt4qUXthUL652f9dg+gGduF03d8TYNJ0YeH7dQvtcnag/d1+ZRo30oqZ95zJNx+vFqBWlEg9s0QvHeYsMVy7qxc/gH9km3/Vi7JqSaR8rGcQt9/UxD9oYxPbmOwtmGgxiebsagbkzDKLpuLlnO680CGddwXH9dxtEeo3Vzm2uG8RZ10mlQt4YhN0F2wnmhYcL+2/mdiOsh4sO9Z1jf7hookbRV0Mzh2gi6KN3gasyfqZuLF90lVxv/+UWtULmq31jP1Mb99tZaZKKz5pt06tYy/1cdtW/TaqMn1ujEy87jNXEh7WWhaaO0oShRUaNCn/8TfzabLF84zVQxuO45KNN+mpiYVJYn4D+mhgfUs/UaYB6vfkSa/MRBvV97D95RpzMXGjZbJGMwyl33iW/XKWJAxdyLl5bpuKgc+8OCzrLzx3p1m1ubU9N6NpdKFfJQ+WNq326ieUI7fe6nH7tW+SEXhNjsvK27HHTRLTlnU658nNbKtzv922cJvxGtRrYSd7P08IvRjwepe57dlf7xc181bqQp4OXRkVOlfGeFGpZefZUTVw9HOSyfYomWk9ubDdYns/7eNGMLV7qbz4f6Zlwa7Cfyut9m8zzgrxVXpCfxP3obsmVB8n4vr0ubEXEAhW/rbeZFtwapPKB1/n3s+bON0rNUrhxzzn5TScfdd/1XnwJPe2p7ifktp9Nmry+nZ+zg15IXA2u6nilqlz/oYfmaCdlPjYpeH9mcfm9QcNtpvrKPKp9zcOtQromHnwY0rzZGfn5MTVnbL4yWlSdVzt1VeoI0cZsb+8Hiw1iX/Evh6Iq6YXD/CsX9u3VCfdXlU40PacTVp7na2Wb6IW/zc2Nn3vqxYWe+yLcI/Si3GlD6b/f68VMr1Jmd97oRfbcyvcvFDMI+1tjn9lWNogm514s72dvEN3HlmxTY5JBeCa5DgkNNwiHy+lHjsUZRM6SkbtXpxnE/vu2nU0eGUTbpzbdrL4bfuMQuNnrg1bigdyvTL/4xAEyTn507B1UXsZxQB+7mS0nqvj+tKJ62UljNFHn3cd56RK3x10usG/nKIVzhxZVrzfDX52PY8L28u8Xy3133BAxe5aMoyYrrYp5uGrCLeejdnyAikevsyYnYuX5uxYf+fCVfN+rt++W3Jio9o/z8X2VQyJjAiWuln2p1Xwp68sGQ+ILxxmauBEXMmWTrDM7fj6f9lrG4/vMnAPnZqr9oj4N/ulSrso2eV/57yww36AJkwXm9ptjNDFqUdjxuB0KR628Yu9NXq7wkzpBXm4t9Uj3ScbtY9Ong57LfDqR6/3q7GCZp/oOzk1dVZ6TT/Zl3a7+46HqMnlQaVXE6oUzVN0ib7oX8Pzn+XiFY7sTzB4vk/EaaXu1YtFhqo6CP+xfdrLZ+QVOso7sMH8RoFPxb90go1VV+T1jSt73yC/XqYCr7aQh81Xdhx+0+PgkooCs33V08d81eXxnljm2msy/5+Nins+R67XkL6cHFiEqPxda9ztZU55n9d6giXvlfkTsCJ4VL8/3qMfxYm2nK3xi3cZX91qdYCnjokX1xS8dPcXTgf5LvC66CZduu8/vb2QQupbvnJfc1okTqfvGv43XCcuyRQMHnNKJKr2ftIq5qxMNut90vVVBL6ZW7DHBfqdeFK/RNDgiRy/+an7i9twyBuH26U6nwTUN4pHZuSqz5fke9tqaca2rQXSaW7BMQ0+DWFOl4ZHXS2T+ZKXFn9xmEBmZx4/fO2n4zZPgQ2Xejyn/RtaHbR2PV7dfoq4ffkK8OS+I3jFJxqf5+vBFS/wUnhXLnFM3Vu7Ts3Mldi/towltlXW+ofKY99Pn0eEecr3HJp1pL1+v4nj8Q1O5v5uGJH3pO1vhnfb3vwip9oUjuAR/YJ2pB1ynU7p///PBar+oG19y7q0sF62JqgcDfC9vVHh6Nyx846pghYPFi7llf5P3M22N+V+hsh6NK/Ro8s85qo5SV4lr43oCLyU/4YOXv7qX/vUv32jUe7/1HMWfGmfkHT40SeUD6wzP5f64Hu9Pz5d/lvfZs6HD0ebL1LrotgctPLxWE2NFSr3+8li8nV1c91Uqrslv4tpyftS+2XKf+2R7V7oj19E31uz7mmkKJ+G7USvCtkevUesEb2K987k3G+U6R607+QbfYF2pe3wP5wOnHh3wD7gXL3m+i+WWA080EdrHq3Zg6jhx9Vvg4NB2HkI0Sp6wrrabeC9ZgeUjvShxZpt/pUydcClhusguWScurjidmin52M5/Sl1yfa8Tl/Wdz1VorRfrnj+2Lb5ZLyoEz3N5fFMvVlW4ln9oIYNw9NgcdrqqQVTruvN6ajuDeGmzt+gpJ1lHXqdP3eJrEM3d598Qawy/110MazW2p8TXwpVcL+abqPJ7xbLosLEjNbGxdlaLfPLYf2u4zzwPhZNHhcPyGn/Ug0HhkUv9xyu9wT7KYLL8LuttXaurXS1mq89P2mP6OtJX/W3hkvLEdqTi3eAmeFfUTH8nV6739+n12nn6qniaeLDEvY0T1b7AC9AH8ALuBx51c0JCah8PhdPwgRdN05s3lrwjrZrTWTN/hYfEef8Kji/ryPrR17Lf7QYy7o5vKVrh+GZZ51zjCk6X9Wj2vrz8mdtlXYwI2bIvWukn4tW8pGO+prvk/blFF1lzVF5H2d4/7JJk/B31m/BI1qvwt+7WRSTP/1Asy6/yWsUTD8+x+ttvluIz8Ktvc60bjZuo6iw8lHVBR148P0ckyP1xr5XZvpSPyo+mZwqc2z9V1bH5P7RPmXKd4k6USFst692GhpnWhYar9eI8oecCuh+dofRQtZnRJ2ZIPDg9tNmMkWGq3v7YVfTXgVClT9FD66JDQnbI1+f4WfWZE6rWc7L5hfHtZb5saGdzLeKZrPt3MicMLj5OZC0o7GNSe5QYt6JxKc+Q4eL55Gq3l6zRi/ToY1vvHdWJVeVNfVrF6kTvPfsi813TiZXv5ukCyupF13L3rn0ZKevKrFWOW7fpRcyHy+27XtOLzduLbXpb0CBa9G7eaou5qi+x+S7azZd8bM3UuBT9BJXnKdOsu0z+Az/QW+APPJ94hXc1vJm7K+UPXlw6JXhA5Gj1OngIfoJf6E10IfilHx933VOu9wh9wntDsIpPeBSvD/eIf+wu4zime0rZ7gsVT4BHwc9+tuq3qswf+qFqz5P5Gmkq/+Bf6CrirnCvtsv6hSi85IjOLpl/5LdPMj6m69q6dZB88O8ZNs1d5PmvzY7b6qRX/Ib1IE/7TUra06Kn/N6lNiY97GW+NLlTPlse6++0uD+xn6rD8CT0EPFJ/E7xsu3a1U3xto41XQ98ld/b+8DywYvlcWpz59APsm4fLu95/Lr8PifX47frSr436mXOwoNDJR+dnhDXZZD695WD0h6Y95b58/7L9COSj5385JNzykV9nzG+nHniVyFlhHpfokfbnrZSx5oGxy3rLc9zcU30DDdHpSf5vk3ZubPiekm+Mjd+fY/+Sv/CSzkvR+ISvV+yyuRK0RZjRcEavwqHVhkpOhYtW3ts1eEidGOladNc9GLx+Htv1+7RiQ0H23+9FqUTfgaXiP23dCKswfCyV+vrxY95mxr7eOvF5baH9rtu0ovGif+sLSnry8g9BSPzShlEOd+1s2/XMvzef3B80SufMpdk3Mxw6uDd5o+4GVUlq2exKUp/H5tYz3GC1HPXn49p8OUPnwP/Zqmp89u/QpUeIA9O1XFMriDP96B/yo8O8nwZJwN77/JR5yXv+saHjQwaoeLt/LWApvv/qE9cHzhIflM3wM1hU2LTxgUonrS5X3KhXjIv61fOHPhXoMpXcJDrA29LnQ6y3zhSxSlxRL7xfvBw/drl67ZKPbIpODxpQ6TiddQPfKGSLewP2UconlH+oXeTp0uU3wU/5LqL2ndY3ytUHcEX+D7vp+7hT6Cjyv1H1BX/mj+63php8vtf18joW2ep2i/0AngD/tsNauvXzV+tJ3Xm4GA7j4YGxZfxJ+AD1TunmdafoOo8cUa9gg+Ao+wreQ+e8O+cl/XEB2i/curTajXHiGtnR5g7tXUXC0x2+hZMNojJZu8S91jpxdPQvi32xejEyN3tTe8l6ITz7NPvX7zSiUm9zo82aacXhepf2VvaUy9CBuxaOVnysS0Nd71f81ovlq+Omj9+uPJbwE3ilziBZ8LH4JHUcfg2eY6vxDqjb+D/7Nv5Tm23Okdp4t+7HbZO8RZ0IPoXH3GRc+P5EyXvcCzl9NUqSvEOcBz+AS9nf3P2m7xLDlHnIz7I758xJUruk/H00j3280wZz/uL/gvgSofXHhX3eoL83NNJ0VnzZXzlDzerG7de6TR4GHoBfw2eSbzWc0ooOiZS+QK21iddByQq/r2vzNVJNlvU/VmvCd51fI/yV8HPcn1tYoJOyPOf+Pj1a4rMiw2BsVeS5fq/eHio4kH1vl0usSWD5PkjKnX7MkC+f0D3ZjumJKn3Tc+7vqap/NyU0hkzWu/VxKp6dreGHpI6L65AmSu7VPyxf9Rt1jOjmV1q/21qvfA54Jc+1dKH2+1Q/BM9A5/Cp0fP4rs8a51Wu/kf/AAc88p9MjdnvvLbwF/46IPHBeav7ST5SI2PZXdajxa3c2aOOTxphDic9OKom9Th2VbvFmzIUzrfyelJjchzOrG456Bbjywk/9pcTb5LL5pkTd19ykv/Gzey612waxCs9AL8sf3q8tU2LFO8Br1JvUBXU4dq+MZk+C1Reg2dKJaZN1wbpngSuMn5502wdp0p37d5bsTptRvV+4l/fEhwjLpGPK71jj/vMlnhC/kL3wIXySPqIbramH+js8FL/Bz0CeuE/u/W3j66bZCqg/BJ/D78wC/BVtW9JZ4U+C9RFB/iOrgu+izgEnGA/sUXpu6hs8Av7gN+CU8pVMP5WCEv5Z/BL9F7xj4Mfj6+FvySdUEHcb3Ud3QpPqebzdXGZn/UfeoG8Y5vcOO+1vrDWhUX5Am+CH734se+Vc9NUPoJ/wQcAle2tPaUlEkTewuldNvUzlPU7hoY5XzGTYR335saW90gnlxo8KKI1C2pQTeTI8J1Yo7Jv8iqE0fia4v2ZnoR3jv9bTnJ/yqOSM5sLetI7W/vfC/KelneJ/GQnbP2u76g1xs8yIk6MU75hFwn/Q3WH75DPIALxC3xTfz0PBrSY5nkrx8Ndv1q9VG+Lzwav5g4Bc+I17X3xnTKk/gli8LdzXsVnvA59AZ9BXxS+BF+comLgS23yPtt1alfQBGpA+5a32nwUfJw37ZO8750UddXrcyLXrcGKl5AvBBH4J3ftY9nn0Yo3gm/sTjrNzRrjYoPdDXrSz6RN/i49Fvw03cdMr0e5q54DLySOgr+wt9YL3Q/dZv6bPiPGKo6R/2sGRsYelaub0LFjFFNJH55zgm/tE3WO/tZlj1WrFN8ET6JD4Gv2++RT52bAYpn49+Rn+QvOoq4g2fDo9Ff+EHsI+tj7COC05Vzh1SpJ+up1dw7XVZvGid2u6YPrOLmIVK9/hVGbqJGxietSkmDyOmkHVt8USdsxg2fsCJO9xvnwD3wfdbs6h3n/9EPpy5QN1hP9Dt9ceolOgIcA5+M+93cP34IPgx+GjxvXsGxz24NVz4xdTQ2vN7XXh0ljvgnRrfqpuKXPjp4zHXhH7Av5OeQgSdf1nJRfQr2gXoDTwKn+Hf8DfSIbWC92np3tU/gCvdP/JIHzC0MvOLXOWOB8iPwtfEryD/qJX4G/SBwFJyl/w9fph9JXBI/fD91mTpK/w99CK6Qx+wTfiR9z/Q7/laHPNT9k6fUP+obfQXwi/VBn+An4oPgu8Pf8YnAWXxL7ov4w28hvsGvVo+z93+X/NW9/t6vq3+NFVMa1qj2adwoYXBPejcxbbiIqHns5bDD+t9+BT4K8VZ4R9SQYe1l3O+3ODO6g6yH0dGjnO2kXh1y4eLPJrJ+LbLN38BGE2bdr2Z/biXzf0+Eo5eMz/iAZjXsekk8b59RvKSsP/er3m/9j4zT7elFD66TcTenhOfNe8OUjwR/YH/ZD/CB+OJ+qePEKXlLvLDe1Clw2Gdm4/p9hiqcIm+ZH2HuAv8W/kR9p/7BG4gzfGbymLymjtKfBw+oi+Aj/gPxxveAt/B9+C68HRzjOtCJ1BHiFF8D34W4h4+yzvR54QHgNf1X8ovrwefAJyRP0QXoP/aB+GbOBhyAV6EHu3tbjQzerPg2+o77Bae4b3xB5n2M+8r0I9g34zpD/WEOZ2VAw3jX8WPF90W1mizePvK3LqX+967d+0LjMIVDzF2wz+A9OAmug9f/wcgw5ZfvmWLbuL3kKXUTzS/79lK8BR+TI59j3/h+8Im4Aw/AMeIrr4nj5pKjVDzQvyPe4HusM7hP3oGf8B1wjv4l+YiPT7wSD/j4xAX8An0Gz6Ifxusc8aHAVeIR/s6Rusd1uSYETj/2Rx97xS9d8dIRykdgXgq+tLv6hSEtIhXP4vrhYfAF9Df4DY7Qn6UO40vQtyR/0eH4DX2G2CwN2K10O3qe68GXgQ+RL/A/+CF5iM9Hf+lJfMCSW5JXVyrkZNowQeZLLYfMdpuU/8P9kwf4I01bpnQculPG2fKQw0cS5f5WOenjkibza0dexfuHld9MvNPfJu9YB+P5ROM+MboNXUedpC4Y4wx4T1yCL/iz8FSO+AjEIfyPI74UcYEvQNxs84l6tCJW1VV4NPvA9VB/6f/gW1FfjPvG1Blwhv4/cUrcc//UP3Q194uOIw458n3gMHMD8BH8CHCRuRPwgn4Ef6OTqS/gBvtCvMOL8I3Ja9aTuGP9iFfylvWBT3LE/+X+8cXRPegXvgceT7wz75MaWcLqyDblI8JP4V/cD3MJrB9xhP4H7xKvfzl2c7HKc3QD59vz9N3mB/Lo0TeplPMKtb/gE/sOHtL/wLeiboI7zDGhm+kX4xfi+3Jd1AnyAd3LsZOF/tTHP/QqcWZ8/eQbvgq8A14NHwKfiQPmJsApzkc94brpa+ATwL/gHeQZccL5OR/3h35hPgf+DD+CP8Cz0fv0YeE/9AfgE+QL+IXfw/rR30MvUI/pY84qNzL9keTF3S4FNVztqPqWIVrKfivJr3vNS1jZrrOMu7r3az7rrnjB137dxlVxUnOc9Iu4LvIWPcR9XlkYu2aoi5oPq1z9UZNHvdSc6rYrJpLpK34CPzbuj6Ev0G3UTXzyoztNipyKUr4p85z8DS6ybqwj+QcOGM+XsS+/ddr/6jF1lD4b/If4g/+g6373jf/Hq4lv6jfzJ+Qz/R/whboAD6BfQz3j+8An+nrwbfQBOMY6cL3M1RA36IHnv7In3Je8Bp9vcI2nda5LPbZ1g/XLfu004Vzphe3lThL/Jydvq9Ne+QZzM4JrBXfRRFbLzNI/+ij9gX/KOoAT4M7ywq65ZVcpfGbegnp2+5LPoGyJr+6hy/fu3qr6QeARfAR/DByGT8Br6FM+nBd5JGSFwkE+By8CFy+26ZA4aLP6Pnz4lV+GVyyxXvEkcBmeji7HJ6TPTv7RNyfumc+Et7DPzK/gY6N/wBtwkHkY8hyeTb0kL6knXB+8hPuh/wOO4WNwH+Aw8zTcN/kAj0InkFf0j+Hh9C2oL+As/Q3qInFKPIIL9AlYP+oJ68R9oiNYB9aFuQ/yBt8fXYXvCy4z/8X8BH4q/R/qBs+nwLvgB+Q58Uw9pT7gH9CXQecY63z4UlutWV9Hb5W/vI4uBRfgSawLeUee4SsTB+wTOhi+CU9nP5lXJW7RH8bPjeA3UT+pb6w/fAoeGtLDdtMYqUPqL1yefvCgJjqc+/jgbZzKU94HPuN7wtuZ64Q/wIeoE5zv/+tfsh7gLzzBeI6Z89OXgects2u1e9QuhRvoJ2OeB++/UET/0SRI+ZH0J8hPeAa+BfdJ3rAfzNWCm+iFyEyt34+dqo9MP5Y+B89VDTJxNqm+WeEAvgM4iD/NeqLfqWPoVngUdRodyHWgMzumfnmbLXWng6e1z4I/5uPBE+IQ3gtvIu/oDzIPldPdYVrFoWrOHx8Qf4nPk6/UbfaVdcV/oJ+D/0E9hZ/DA9GJ4Bm6inxiPeiH8Df+AvGDPjg3w9xlZ5LUV98H1W55UvXv4dnsG+ehLu7tGV931hFNRKf4TvtH5s2e+cF3rl6XuFahg9m015po0yO2TUSWjK+bzzPLHJe6zj6x4Xipy3sZ6s2eG6fOR35R18h/6ij79U+vhGo+8TKOR8T8Ct6j5g02XPTWfd2j9DV1w3i+E13AOjXukNxM94eeIJ7hPcQZvJm85HrhceQd/SVjPsD+oE+ZP6Cfgf5hn9lXdDn9L/aL9YdPlvKw8g/bL3nt0uBT6alqX9KWmIlEGe9J+bKW1ZJ5UCTAYkCUzIOY6ZHXwreoOADn4IPgKPyIvII3wUfBN/CMuQ7md5fMM3NKkXHk6xDXdMk5FQfgbMDh3I9ZMSpPu0cXqHP7mMS79HcvfxxSfTCOX21SBo84KuueX/izPcfV5+j3EU/wMvrP+HP4bsQZ6wj+cl/sE/qCfcGPQ9cyBwaOnxlgGzx8teJLfI75HOYE4PfwEnCH62Bf0PeL+zcL84pR641/Br4SZ8wXgZ9ZN7y7vd2g+CP+FnUIXgt/JN7xFeknUNept8Qr9QR9j58GTsEjyEN8M/Qj+Alf59+N+/PwWHQNegJdg29BXTZ+/gh9Ds9lH+CZXCd9A3Qn10Vfhzldro+5CXQ3vBmew9w2eYEfCb6BQ+S5sU+ELiOO8VuoJ8Z+If4Y602/g3WDn6K7uG7+HR7N8xvcP3UIXsD8DnyTOUrmluDp1DtwGX8GnUyekZ+sA/4ZuETcU8/IP+oSuNiwa1Itty3qdeaViFfim/um/rJO8HH6yMQL88z0J+EdxnP7PJeDv4euh58Sp/AxY1+W9WQ9wFv4Fv06fCV8B2N+BB/Hr+Z5xNuNsiy/yuOLVFP5DjW/PbFnP89fUk87Nr1f4m5Luf6BiYsb2yp/JvBMSLMFPZSfcn5j1PhRfdXcDfHD3BW801j/k4f4bg//etTtlU7xHfKffQFHwR/6WsQj+8McE3WfvOcILqCv0K/4aMQneMCcMDqBfWTugDiCN6Jv8MfQSZwX3gDPJs+oN8yd4APDy+EB8HXOgw5HX6G34CncB/Nf76Itvkx3U3NTrCP+CHWIugm/gcfQD2Bf2Ed0D3yJ9Ua3gpP4Q8xh0edmPmPJtogxU5xVvWFeiM/R76QuEQ/ED+dlbgP+zeeZE2Nf8CnxO9CV5DfxCq4Sz/i66CDWH9+CPGd+hn4ucUEcUv+NeQW6gH0Bh/EPqZ/005kvwIclvjmCY/iCrDd6Bp+B/QSP4QPgHPjG/AH5jg9OnxU/Af6IT8B9gXPwIXAXn4X9IT/Q8cxZUv+IT+KW6wIv6cMwj08fk3qAX4LvA45Tf/E/4TPsj/HzWuhe8J7Pw9/gY/B0cB0/knxCDxAXzBMRn8Q98UN953X2jbrH+sw4mfP07ibFj/FT4POsAzjEfCm8gn2gjwbfo39BnMBb0fPwYeozvJg5fb6H+Sf2Fb+B/WTd0Un08ZgL4DrhgeAP+QtuwkvAa3gIeMx+0M9jDgT/CF+M9cavJr7JU3gl/Ii6TZygP+Dj8Hv2i+vDD6afB/6iM/H18IWoG1w3viT7R37zXAk+Bn4YOOn5MDc8UafwF18S/YzfB8+lLlKnWQf8Qngm62T8fAz9DXCTvPr+8smeEjuUX8BzBDazw24mHlHPITzbOmdt5gH1/AF/Z1o4vOmyT+UjPJS+EbyW/j38iL5Ru2ZOa/MGq3rJ3Aw4y+8+wP+pt/QJ6RvD99AV5C/1Gv7Bkd8fIt7AN3QoeAjv4Xzwe+qt8VwZc6rM7fA+/p25HebW+Bx4jN6AtzOPCL8hL/HTuX70ovH9cJ/wcvIRnIc3gnvwWvKaeTr2E37D/bH+1Bnj5zH5fuZlyRv8IeLUeC6Z66TvgF8EvvMcEboFP5u5L3Qf/hV5jU6krtIHBzfx7Xm+CL+Af8eXBseIJ+KG64dvgAfcPzoCXcHzcOgK6hv1Ap8FH+Hb+4fRpbfK73WMs5h3UBO/srIvFNyr6gE6lvPwN3iH7wzfhd/B2+A59IHRC+hx47lz5kO4T+KJ/jr8mfrOerJ/+GDUH+IP3cj3gZ/oIPAB3kVewpOJS+KYPgx4Cu8zzmt0KfWFfeT5RHAenmX8PCa6hfxEf1JX4cP0pfBDyEfWjeukzoIH1C/iDP8HPIT/GvMZfBbwA1yj34auo+/G+sBf4Um8jo7g+eHg3eGu0wepfWEf0H/EBXyVuIfnUGfxt/BN8SOpS/jfgZtNql5MUO8DH8hncJPvAY+M5z1Zd/KTdeb1ipd9e91dqXgFfQz8TPAnb72pxe4/fDnyj/MRN+gX6rzx7yfwNzyQeSviAZzgCK8iDrk/+BS6CN6HLqAewOvQXdRL4p/44vk36ixzkegk4+dlqYvkF/hAfsNTuG/iBV0Dr4O3Ui/w3eAJ4bNid4/Q1PXgw5AP8FLqIfdDHqDL0KWsG3FKvYJX4HeSB/A29B56nPvhOtFv3K/xc0fUD+PfQWP/8fnAU9YBfON5Ktaf98PHyS/4bq2NQVGndqr+JfoMfgkfAbe4PvAJngEOsq7gEv4I348OIc/AR/g038N9wyeIS/Q/5yUe4A3EM/dJ3nI9xBNzk9wvOEF+sb7Gv3Ni7N8Sp+gjeC9+BbwHv4rPweO4P+oDfiS+LPO4xCPnAU/Q3fAd9C996q5Tq8tQUv06dCl6mXkr434YdYP9BR/QM/id8Fr6ruAPeIS+wW8wnsfge5j/gk8xf0J+8vs/PN9AfjO/ZjOxQ4NqraTePxjeZWJn9fsW6K4J822qDHBS8zNF7gVY7HRWv2/B76zxvJzJM/+SewYp3xa9xnWTt+go4hq8Jn/xG9A//C7AQPeUCzaO6ndDmL/i+SveB9+GxxDn+L7EM34CdYk6CO4RN/i1zAvy+wecD/5LPDE3QF8LPk4+gQPkM/UMvOZ16g54hK8KHzN+7oq4AM+4f3w56hK8kzwlv4gz5oas8r31vPKH7zmzstvhZ4PUHFXn+3PMonpKPMr/Xn+qj9oPfHd+J4W+GPuDL0gdwAcwxneuY+/4Vu1bD5T61exV5wtd1X0Y82j4G/OX+H3wU+oQcYYexp8gn8F1+jjGc9Dwavgu/QrmKvD9wT3yEZxg36jz5IHxc/DEC7qDekDc0W9ibgRdw7xAaOu2KW6S5x178ORM+SOaCGva4bxuv5pzoa+KvqPPzev47PggxKcx3oCr4xuf7NIjWs3HgM/EF7wZ34LfZ6WfQr1n/cA34t74+T14ITwUfgR+EBfwG+IdP4d953wc4YHUG3QH/gL1k34Ifil9NeMj9QkejH5lX9G16ErigfpNH4f4M+bZ+FHMzbAvrAfrTrzjH9I3wK8hr4x/Dwe/DH7LcyToHuoU7yePqLPwfHxG8I4+CH1L8p06hT4Fd3kd/otuJG/gJaw3PAJ/g/4APAZfmLpO3uMHMyfGkc/BF/Bf0OX0d/GVmYvlfeABuhK8LfjW79e+/go/4AnUIfQKfBZ8ID7QFfAK9CL+GP0q9BE6G13C3A/8kTlQ/Db4OTyA84Nj8F6uC5yD/4N/xs9lE4/wP3w4/p14Mv5dDnQg68G8MjiFHsFvB0fwhcmTNc88WhSMUXOn+AnUI+ZjjX+HxZjHcn7qDb4feYO+Q9cQ1/jX1GnWi/Vkf+Ar3C/rAB6Rx/RRyasbHa7mz3NQzxFbHymfOq27JoYVe9v/rIOq7/y+Fc+js//cN/tA3pJ/PN/FuvB+Y9+T83JdrKvx7wfzO0PM+ZX47wdqZTwFlu+9Z5/y1fm9RfaPuSPqHj4f80bwMuoSc1X0N5jfAzfwK6k37Ae8jvk0fp9o+9jod0t3Kr+RvATHwWP0ELqAdSPuWT/ynr62MQ61u/ruyodt6vlB7ht8Yl3ZJ+Y1yV/qK/UTHOU+jZ8DYj3wScFH+q7oLN6PLkWnka+cF/6CHgU3TG26nem4Xu0n85f40ByZU2Lf8LX5m9/NwE+CxxWbYmlYt0v9npPVHfeBlU7LdTr0xeTTCYm7eutFy+S/X9Isp2w5JvP72+311feo+6VOGPtA7Bs8E7/P+Hle+Bx1h/4tPAE/F55Af57nMlgfdAp1hXlOjvTfuG/qH7qe/jP9UPKLfIMn8neDPol/jdqo5jPxP6hvxMWbgfFmU2Renlpp2vRgnHo/68i+wVP9ilwNtj2gieDFpt1PpMh1/KyrUVF+zn5vbvHHSSq/4KXMp9OfQBfxOxXkFTqIuOf5Bnwk6h3XuzCsRJvTh9R1MddJv4P7xR9gf/DhuW7iausu/1XPj2tipbtlyK4rcp9OjFlg8UDy48iA5Nc3ZP0ZHlUm5oLUwc9un292Xeq5dwO69Hoi69Co8PInn0pe1yReW/tR1n3/oNyXn6UeGmqx6+QH9b7tWbpRzR/JeIgo0OGJPH/JTXmNX1xUc9GWn1zq1z6kfs9s0oBYq+Vp6jnhtb2skzbdk3FR9viKCc+lDrZICZz8WPLcf+Hhriai8ver3k2ez1w0OzErXa5f0kfT/Jfleeu0fT0pU83J5pVMX+p4SebdyjlnX9yW8TXRbF7GM1nXHgwZbv9a1sX4j7WLy/M23ey3/+dDuW4p2WWrvZT1KsE7uuwLqX/X+Z/Mkfdb/r/GiZrL5vuYy24/Kbj4sxyJ9yfuVXMo7SXGVratsLqQl7CvkTRr/hupr32Xfzsnr9u1ut37EeclL+kULxbK66ppbldUk+f9zxb643XHf/8bjWsS70dHFth+Vtal8mmzB59T+3NxW079nJuaMPl85WA3eV97Z4ZkX5LXUelv2wx/uS471s9JuC8/d32Q9cY18nzzbzy5b3lJncdhrYntDbkPnd/eTGkp7+OIVYrXOHl8lO1i10i+v/Vf6VMdjijc5veHmYNgXpz54xlfb25teFTWlY62B30OSxy5Psa56GH1O3X87h39ZP1dj54lk9Tr5FGn5JzcZ/L13IfPjxaRf5/MyH5S8pTEn4r2efoMdR/0rclP6t2wp+7ty+xT88x8D8910Gf4PzZxc9k=AQAAAACAAAAgZwAAOB4AAA==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AgAAAACAAAD4IAAAZRsAAPEHAAA=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BAAAAACAAACAHAAAohUAAJoVAACcFQAAFgUAAA==eJxd3dUTQFXZRnFP0N3d3d3d3d3dqYAgJYLSoXR3l9LdCkooqXQrLSkd38V3fhfvc26emTXrH1h75uz9s5/9/9cMu+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+4eF64oDwcD1xYHi4njgovP8D1M9KcXicXddVE4AFuUVhUOoL6e7u7u7u7u7u7hSU7u5SUFC6QQkllO4uJQWlUeDMnPmei3fvmz2zZv2BNe5oI/z/xhv+4OEPCj7+8IeEh08w/KHh4RMOf1h4+ETDHx4ePvHwR4SHTzL8keHhkw5/VHj4ZMMfHR4++fDHhIdPMfyx4eFTDn9cePhUw/8yPHzq4Y8PD59m+BPCw6cd/lfh4dMN/+vw8OmHPzE8fIbhTwoPn3H4k8PDZxr+lPDwmYc/NTx8luFPCw+fdfjTw8NnG/6M8PDZhz8zPHyO4c8KD59z+LPDw+ca/pzw8LmHPzc8fJ7hzwsPn3f488PD5xv+gvDw+Ye/MDx8geEvCg9fcPiLw8MXGv6S8PCFh780PHyR4S8LD190+MvDwxcb/orw8MWHvzI8fInhrwoPX3L4q8PDlxr+mvDwpYe/Njx8meF/Ex6+7PC/DQ9fbvjrwsOXH/768PAVhv9dePiKw/8+vJWGX3n4G4e/Ifgqw/8hPHzV4f8YHr7a8DeFh68+/M3h4WsMf0t4+JrD3xoevtbwt4WHrz387eHh6wx/R3j4usPfGR6+3vB3hYevP/zd4eEbDH9PePiGw98bHr7R8PeFh288/P3h4ZsM/0B4+KbD/yk8fLPh/xwevvnwD4aHbzH8Q+HhWw7/cHj4VsM/Eh6+9fB/CQ/fZvi/hodvO/yj4eHbDf9YePj2wz8eHr7D8E+Eh+84/N/Cw3ca/u/h4TsP/2R4+C7DPxUevuvwT4eH7zb8M+Hhuw//bHj4HsM/Fx6+5/DPh4fvNfwL4eF7D/9iePg+w78UHr7v8C+Hh+83/Cvh4fsP/2p4+AHDvxYefuDwr4eH64k3wsP1xJvh4XrirfBwPfF2eLieeCc8XE+8Gx6uJ94LD9cT74eH64l/hIfriX+Gh+uJD8LD9cSH4eF64qPwcD3xcXi4nvgkPFxPfBoerif+FR6uJz4LD9cTn4eH64l/h4frif+Eh+uJL8LD9cSX4eF64qvwcD3xdXi4nvgmPFxPfBserie+Cw/XE9+Hh+uJ/4aH64n/hYfriR/Cw/XEj+HheuKn8HA9MUJTPVxPjNhUD9cTP2uqh+uJnzfVw/XESE31cD0xclM9XE+M0lQP1xOjNtXD9cRoTfVwPdE01cP1RNtUD9cTXVM9XE/0TfVwPfGLpnq4nhi9qR6uJ8ZoqofriTGb6uF6YqymerjuGLupns7QE+MOfJymcj0xXlM9XE+M31QP1xMTNNXD9cSETfVwPTFRUz1cT0zcVA/XE5M01cP1xKRN9XA9MVlTPVxPTN5UD9cTUzTVw/XElE31cD0xVVM9XE9M3VQP1xPTNNXD9cS0TfVwPTFdUz1cT0zfVA/XEzM01cP1xIxN9XA9MVNTPVxPzNxUD9cTszTVw/XErE31cD0xW1M9XE/M3lQP1xNzNNXD9cScTfVwPTFXUz1cT8zdVA/XE/M01cP1xLxN9XA9MV9TPVxPzN9UD9cTCzTVw/XEgk31cD2xUFM9XE8s3FQP1xOLNNXD9cSiTfVwPbFYUz1cTyzeVA/XE0s01cP1xJJN9XA9sVRTPVxPLN1UD9cTyzTVw/XEsk31cD2xXFM9XE8s31QP1xMrNNXD9cSKTfVwPbFSUz1cT6zcVA/XE6s01cP1xKpN9XA9sVpTPVxPrN5UD9cTazTVw/XEmk31cD2xVlM9XE+s3VQP1xPrNNXD9cS6TfVwPbFeUz1cT6zfVA/XExs01cP1xIZN9XA9sVFTPVxPbNxUD9cTmzTVw/XEpk31cD2xWVM9XE9s3lQP1xNbNNXD9cSWTfVwPbFVUz1cT2zdVA/XE9s01cP1xLZN9XA9sV1TPVxPbB8erid2CA/XEzuGh+uJncLD9cTO4eF6YpfwcD2xa3i4ntgtPFxP7B4erif2CA/XE3u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CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/Lambda/Lambda_15_300000.vtu ADDED
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uEka8k6Yal5Bw6GDc4l5FEiw6Wn97m5BQKLhB94kbCQJ2kbjyKRLWPn62/c5lEvaWmvaXFZFwfrngQeMeEuI1puzP8lGQwH4r3qFAAe7wdmOvNgXhZnZt36woiHbZ9lDrCAVyP3xCu65QoLzUwVO+loK3r75bzu6gwHxPQVb0Vwpad925n7mYAe4t74Ms1zFAu7C/fO9uBhyvenP/mBsDgnhzLd8FM2DnYEnsm0QGpAR+Mo99xACJVzmdywYZ4O37Ovg1LxPuBzREcqszwfDQw6RVpkxweMd7Pp7FBL+t+04KBzNh7nDA4udnmPDWI7/ZOZUJ92p+Dw01MeHJCSH7JyNMGAs+P9oxjwUPTFL2vFRmwarOJwuirVlQQMxu3XiYBTbHXLR8E1iQtTaqTreYBV03jVa0t7DgRpfEa53fLHio6vn9tgQbLJsTIhkabFi8gcndtp0N5uZmPUsINnz3KDY0PcoGKQu9OZapbDg4BwuTuM+Grtox7wUf2SDf3WG9ZYoNRzerYBl8jsDelvr+6VpHeCmslldh5AgT/Nnbnzs4wsajnHx2qCMcC2Q8PZvtCCNGP24fbnKEvcF7h5tHHWFJk9TRLbxOwNOoFiAjiNZfIDzphDIB0vuw3f2mBHxf4Xn3jT8BXU1Ls1MiCPh1SG2nbxEBc05ImOd9IuDb+horn0kCTrwcHlJE+viS7Z8jsYaE1pwR2LaThMpc9jOmMwmrf97/+jCEBL2FavZdZ0n4Rf39YHED6eOTRs7EYxLEGzWH5o+SwHgv+057CQUZU/yVB5FO7oj8yioyp0CL70dDoycFRcxKW+NYCn4dy9I5lkNBtpyprclrClwOiQ+VjFLw6X2XPSB9/Lg6+UQc6aMsbrJ7zRYGPGbzbVpqw4A7HsdKNX0Y8CXGKepgJANMm6srn2YwgPso9exKA9JRk6qL6DcGLC5XjV8ryoSzi/9oXN/ChMehJRf0KCaoE4bW6oFMuKLzfMWai0wQuH+aLLnBhO+vJmp7S5lgxWs9b0s7E75tK9KN/MKEsI6PH3SRToqKXe7AOhY8FyrKKd7JglFy7jMFDgvGzvRd8TnDgqCQnvLI2yzw2u2Zc36ABULeLdwtPGyYOGHkyyXOhsG1n8MrNNmwV9h7/b0dSAfFSbUHD7BBW2SwssOJDbL8TIffZ9lQfj5B6XoeGwSVatqoVjbMecPulBtmw2whgwsBPI7gNvLMyn21I+Tylm1K03IERZ8jWYqWjvAqcGQDdtQRCOcRyvO6I/x8rM8Y6sSBO8Uss3UMh79dCmaq8wnw3/25qlCGgEVS48vv7SPArlkkKcyNgKTxv57VJwi45FPYwMklYGuQnFVKOwF7TLQyw78RUKhVbn6Sh4Qj4jUnwsRJuDXLeNuZrSRc+vroc7oLCbxexzduCiRh0R2HgdMxJByM7z4XjvTRUrut8109CQG9WSA2QELZohhBGy4K+G+X5q+UouChuUNT7w4KxLoiIlMPUrDMX7Ns/wUKpDeZKmrnU9Cw4376wTcUpBX8ieWaouDc7UMa4pIM8Hr0Kd5kIwP69W58eWPMgCaj5Z6zHBkgdGAeqXGSAQ0Pn9bfimHA64vvV1+8xQA+sVhCs5YBQ4feud4fYcByO0rxwTK0zo+urzDfwITldatTWDuY8EOJujLCYcLzS9fPBEchX9n1eJ7uZSaYjrqtnMpnwuvPjsrCyEd67xxN+oH0EbDztv5NpI9JhysKz0SQX6zctCpdjQUdmYNmJkgnP5eoG9bjLBDXjbqsGMOCPSKijsplLIhbyetj84EF47ZM9F9jgXqd9LJdsmyot7Bq/m7AhiH7J7uW7GODxPCRo4XObEiwNPi6OYwNL15ObW27wYZzq5u69GvYMPXLLn3jOzYc2i8tX/ybDcfV1DjXlzrChltjJTKijuCknfa5fp0jSAmsfcd9Bwc9d+/Ow3U4CA1m5y3twuHSz9QM9XEcGsOs3rXxofVnYatfKxKwYO23RZVmBPj+Pv4uh0PAhb1Nw7JnkI/oPZExrCBgB1Pl6MU+Ajyts6VSZ5MwWOEVs0aChHsWabr1yiRYP+1YzrGk9fF2cd7zjlB0XUVMYWkcCdlPHhk35pOQ4sVxiGwkwe7J5q7JjyTM6rlhrjmXgsp1/l+TZSiYp+08+nQ7BaciNc/scKdga88cgZJQCq4q2m1YnkwBydT46v8Q6ck+69KNnxRYecaHtwozwDbxsK2MJsqNyOBgBRMGhLvN05AiGVBgE9GteIwBfb06y1/EMeBrxS6sPIsBesdYj87dZ8DJM9YPKzsZkFWdwye3hAkmA0K401omVBx8Gv9nIxOeqX1a0GnFhMEoVV6bg0w4voJq5D7PBJf3v9OfJzDhjKz5S71qpJshElSHmFAYenroy1IW3GdeknkvyYLiHLd72kgfVNDsCysNWVD1wLbosAMLFj42eZB2ggXOc9O/cV9jQbebC+tUOQsWePYMJT1nwbEPaWbyyFf2W/asL5nHBuH0whpZKTZEifityd6Mngt5bq6zYsO+QLVCu2NsqLAuP2SWwAbVlRasTRVssLC5efXaABsCjRW25SAfWVFDqrg74UA2Way7EokDe0yL91M2DiN9G5SmnuEwVWx0tLsXh0fJJvk9swhgvL7VrypEQFSVSsJmDQI6D5qJzd1DABJ7y44DBLwd4fHLDSBA86DWHuYtAirc1fAjjxGfFEx/AQRItnEI+bm0f3ywlKjp3ELCA7ezCoutSJi+6yw5NIcIneSo+meQIMbyd3QqJgGLIHSvP0VcsmYRhg2ScOP5uhG5BRQM9Kz6YCtPwVrDD059lsgnbmT0O/lSQPz1cXtzmoLI/p+ru7MoWFn7x/Ezypl48bofLshHJi1lN9aIMcDB/EbVYzkGvMl11Tc2YsAZBz6zFc5IP7rC50ROMeDzM8Ntj1IZYFnWMFBdwABVeb43Zi0MSJq4nKU/xoB/X68IExbNWgjHlZjAMrXf90mfCT3p8h8pxCMPmqIUE7yYkDo6cbzxBBOC7XUO7k9jgqD0rk82HUzwtU2Xzf3LhIaKUX7JBSywuD8opS3Lgj7Tla/6t7AgYMDIP9GGBbFG5w8LebOgWkF088o4lD+zU+aKIX3URLXcL33GgmvFevNG21mgFmtgPjmfDclOzVJDyE90U9RsNTfRefMkWCtVn8kGo94pwVqkk5Yabuz5baSbhBArYW0cLpa7KJqb43BLMWfpCwYOGgqZ0kNHcYiobm7KSsOhb/60MeAQLXrJYxvSx7ldfmoXZhPgXFG4TFaSgPwHNyXMjAhoL1R4YE8SsC0l23m/FwEaRlbBy08TkCz1UX/xDQJ+5i/+XfeUgCsN/i48XwmI9pQ4UrOQhFehiz3GEX+wJbQFM/9PH1ypHh/NGCRIjFRyVYeREOt4xMo0kQT5RTeHeHJIuDM/9Y848pHyx6VuXOjea9nwd9+xvySEfo03sl1BQY/q2KFCTQpQaAu/PEDBYqu97wTcaR7xT44XzrpHwee9GhKn+ynwslGUyZzFAEmxB/NPitJ+ovmw69p+AwbEzdZ9WUQwwNpwWcjKEwwoOexe7XWDAcknurYlVCO9KIThrH7kJ5Ubw/inGMD7SDlynSATVp00nFyswYQsVdeQum1MoM5vnNBFfvJa4Kv+M6SXEpaOnXkMyp+5+GypGiaMWORIXuhlgkH1+J+5w4hj1UrIaB4WSBCiOd1rWdDMV1JeYILyY7fACL8LCzb6fas4EMmCCtfRzoNZLDBbstJXoYIF5lsnNP3fsiB5UuT2jlEW+PpZHO1YyIZHlNnd3zps8OcfffgEY4PxdWl3dw7i0+LfcfyiONT2Yu3WKjh82J3e9HI7DhO5n2vMHXBorz+w9qgXDlVvnyRlnsYhJ9wzlZOCA//j+pd15ThszjMJbX6Hg8C6cBsnlC+OtXk8CmIoT6JqEckhn3ieJHzQjgCOjYWtoC8BdwK115kifdhvapGQTyfgmknN0v0PCRj70x0j20lARLiIZdMfAnQ3FlNXJRFHnD0+KradhJ/VjEx8HwlGgcfFVf+PU7FVabVcCSh3AjlGx0tJMMB/TAU8I4HnWmNWJ+JU7+nYEUAcetAyamAtBYOiU9dubqOgOkbTF+wpkGyOTr8cQIHxQ37jmxcpEE1cFX/tLgUCUs+6zd9TkHl9Tv7P2QwQwxPvvFNiQN7XBvz0DgYYhU4KaDMY0FVjrR3hxYBts3NdP0UzYMWRIQjMZED12f338p8zoKpuo8e8AQYsPWw99mI2Eya9nkePrmGClNse2dmIV9dYWZuO72KCZlfU7zDUb5ZgDU1iTkw4udCpbyIe8SyheiS0EV1XrnY4iHSBbvLXkVNM2NnT3r4H5c0C+fzIfHUWGMZ6/ty5nwXcffqRRcg/bhe0ELFhLDj30OhV5VUWhFKjPw7fZ4Gp8bhC0GsWJM0WSt49zAK3OKMdnydYkJuvpigrxIbSWZbnFbMwqLRervZgEIP9gs8XsgVwGCyauComh4O240qZfsDh5YDZ1ygKh/el5PZDh3F46jFbD5A+NPedHtNE+lgzoTZvvAQHF+HVA8ovcciXWtJ/4AcOmTnlcvwrCSg62hTwU42AqZhpIyKg/GncmtN+BPipkslcqL8E2Bm4784kQEG0k5BB+nA0qFlDvSZgsmOkUQjlzFfXqwvrlpFwOXBxGJc2WueR3Y7nbUh4vjE18qsnCRzfv/n6x2gOOYAd4djcIcH095qoZQ0kdEfZ6Fd/IkFXMnQqiJ+CmtVHFl9SoiDo6M5QXqBAaPYRi3wS9ZukrHEm0kd/1YXGq9EU6LjctXe8Q8HpVa3v1R+jfOl1qpRAPjLd/qyRTpra7Cft1RlABIadE0Q5o9P3+Og1xKtJq2UrJ8IZ4HeeSjmdzoD24odT7U0MeLHnoFLMKAPYH1I6tvIxYddXgb0cOSYcHIr6FKyLesuqr2sf7WMCw3r/9gH0/C5X8OtcOybYi/YbDqP+O/B78Ngkypm9q8wHjV4ywTn84vPHyEc08RSJ6gV07xUar+m8vIsFd/wnbm91Z8FV8ZSqWadYYBXuuDYglgU96lF5Gmm0j+xBd3XTFxZs65uck2WIQfYPVsSXAAyaWYknM6oxGFuzi3KehYOp35VDT4VxmN1PNhtL4oBEk7x7Bw4tHy24TrNxsPlp0Jfrh8PRgZqIivM4nC5t6UjPxCHye975yWocHI717YxH+pgTb1H8EvmHsLnbxlykj/SxuEa2ClrnL2d7z9oSsPLj4ohEbwJuvF6UmRdDwFDXVMYH1G/vDPxI/VpJwOll2PAalDMNYFDAfk9A8FB3tSbi1T1lY+LKCnTPrXWIMZzrQEJP/gfLw0Ek/LPLWBKcvhXwDd8m4cVr3Qc91SS8npBKUe4lQTlm955hXgry47ftXSRLwVmeUP14xKnNy73UGhkoP3a+8l0WSMGeQmFWShIFpn3f5UdLKLArnhfY9hz1GLhffniIAuf8yWS+hQyYP7i/xQbxiLhN8r02VQZ8PHfIf7M1A7a0Pk1M8EA+o7MsQSaWAVNx+29kViB+PfXa7GEfA44t4hN35UV6uLOxUEqCCdbVMmmWemj9D5gbz0e5UnMx32870kUT82HDOi9aHx3Kb5SXoX4jt7lBaWsuEwzDVu7KRzpJfeLptuwzrROfWvLyPg0WfIoYP6Vry4IEzUtxfIEsiD/ovYtAfSbQbO5v7XMs6BSdbuAOsHQ1Z1WuMAa3ozPmmm3FwEnM0oTfB+nCcL2Kby4GYu8/m8vMwUH68fhhUX4cXpw47zayFgdF4QqFW/twWP+n1uIqjrgzepzHNBAH5cCg27vOoOt3bYnkGzjk3jNj3r+Pg1++WeAjxKlWSy6F7f6Fw8+Nv9uiBAk4ojE+eFOVAJ/61JWEOc0fxfuMvbWvIg4pXPrtHtJFpnLTTuNXBLS+9N83hfJlvrccJ/MzPQeJP7HIf44m8oXPLz4EGqJ+uyXVux9Dr8um5YyH0XOya1rnMjULSFhxc+/iKsQf4d7dw7eHSejP0xVfuIiCT9+FHxLiKDdaE0PYWyko/DurJRPly2ff+xqGRymQmuvhNIj4w702oqk8gwLdK7HixfUU3J1rd063l4I7MQufjSxiQHPsCcu54nTvteg1Hz2CfGSxvrjviD0DWlSkLn9HeVO5JlFLMJ4BmZLCLWrliG+fFnVzf0B51Hy7T+IXA/6N9QSYIPxvAELr5cNdyUcuDkgXExMuD1Cv+TjAdaosAOliOf5qyVWaR9IiLj0ua2PC/Kpv8wQnmTD0nHlYT5AF81Rygu6qIO5osMo4gvKm+4li37wKB+C6X+r97oYDfN/Lvh7zyAGuhZb+WSaAgSVHs0rTBAOhbD6PRHcMYtVKnzALMFj2CF+iOYqBlUzDZ7eFKEeWP14civQhqZfTVbEFh+LHH1OdkT72WAgxhBCXytdaGKYn4RAilL5/UT4OC1ZecVBoQL7D8v5x4i0OJs6Os3NQf3G9WywpKUuAtOTRiHh1AkwWzdZO3UtAeEBV+iZ/xKvSPVqz4gjY5Kx9gMghYONtQe6SGgKEnx6xHUQ6kY2NKXs2SsAGq2kypueoMz3mpoF0fzfiVKsFZU8qUY+x1kmI4o8gwTd84PYx5B+aDZUHPiH+yNY+XuneR8Lvb8kb4A8J0VGNbaNCiDvkArkS11CwvPLGbbs9SDexuVP7PCh4WLF8e2QQBU6dx9LqE1EPVnpRo12J+FWt7rFtKwUKKLVejFGwH90dTavRugtMK4ABN00S27+YoVyRyVDsP8gAbekbGj+OMqAw0intcBLKndPvN1xB+phVBiFfuxhQmwsJk9+Rzo6Zf+5CeWPEzbfRZzUTTgtPymXoMKGq9bTYFXcmuN6Q/BZ0nAmq11f/johmgo63qrlXBuKPuiCir5b2j0/90wbEghKf8/P7lrNA7oj+qg0eBLSMdK2edR6DJJUfDoHPHWCPb2v/rTIHKNvJLktqdQC+dWyuksUYDIXfWQRaKFcezjIt9MSg4WT0nuI8DFz7n+8z/YSuH149XMeHw+iV2Q1L1XAIiOEalN+Lg5noppwqlC8uPiF5m0NwYE3j/QUcvhRaOd9C+hj6qcI/5zEOPA5+c4514tCsEWIRgPQhQDiuKFlGwPaRFabYWpo/xgW8H7YEESD1+4fP+0TkF6zyDpssAhxcCz/6PiDgZbeX1pxWWh9WygYf/eeQ8GazVutlUVoffzI5L/fhJIz/3uJQ4Ir4dUqXXRWA3rfzbKjaFRJGRu+Iz6snIdK1d/Im4lPFxJ1bRudT0IZ/kHmC/MN9cFmPH+KPq/eTK3ycEW/8nuyt8af1Yb/VVFAthYLDcYky6UgfD/GCoOCntI9Yb7z/6sQfCtq1C9quCdMcUl79rsAbR71GPVn0zyEGBEO0iPJlBvyJss9Pe8CApw6u/Imox6R+vP5qw18GdKw+cTRwARMG80sklqLHxyJ/xC6vQ7nyz1CZwHE23LLWGfUUaarw1xHEtaY7ArXOM+GdY9EHVjoTslUe77Z5jnzku0D53lFnOMR6l/AM9aJ15Xmr1FCu++ZFDF/3xsCjTFF4RZfDf4/Sjo0yAzwYaIoO5FQrY7CCodm6BcMg6MnBtr5EDFQKv1zmbcXg1+XvT/m+YnBXfoer3xLUO9p7XHeto/mDSPJ23eOOQ7bV+Q9ioYhTTn6TZSbiABqXFNfk0vrYdt72/oNh/D9d5FyqNZsjT4C+9uin0s0EcAfVXhS3R+u/rY1raRgBlrb1fRuRf3w/paQcfIeAkjCFjZH3COBTMHu1p4MAndltKWY8tC7Yw3Z798uQ8EixMKRInwSWncjj34hT50b68xp60PPUkMEtpx9Fk9C3NLVXGPWYf+Of10hHvHGLdn0loWosUW834pDmrLv31qhSENsT7R9uRYGq8sCFdoICF6c6PWlXCjZteXVm1VkKHsm21q0tQnrJWRjx6hUFV15+deBHHPL3tXu76CjilXNnzPvmon6yW9bkiQoDWkuc1PdsQ1zyaL9aEJMBc1433EgPZkB4e/XNh7H03OzQT0lZpfcMsF9w4ZIVypl/WLYU8anM4RMJkkxonDdn84WNTOCX+bKq3ozOGY+L8vy+EUyw5LHlkbjOgYSsyKPZZziwsvz9OisVZ1i1QANFNANWNhe383xBue93Z5P5AZQTGQUFCz45gL1nI9+HMQeoN7DrfM6Pwfd1HVFvVTBYWjFv33U2Bh8rvx/sv4nBHzNxzbwPGJhPbH3s/xdxScqCknEhxBdX51bPkUE+cNdTdYsRDj3up++scsHheglmGhqOw/3V6du4UW85m9c2lHoH+YyHX4tbGe0fk2PSGlpcBHgxeuKqRAlgc0eVBG4g4M/pKn95SwJKO87xxrgTsOBS9jEqlICOlX3bfyfQPjLDI5F7tFMCPxGQlhWa+n0WPU8Vs5Yue6FGwrcXDmcdd5OQEvfjoAFFwjnDhEPzDpGwUjvuktglEr4WvXDJzyXh5E7u1eQTEoY1Tj106CDhREVp6AKUM5qudjFtEhSkaQ57PdKnoBipxWInBdwnt4SvtaZg5WBYULobBXOG/vDWR1Egr2BppF5GwZ/r0SvqXlIQjuWejGynQGvVbn9qnIIO9bu9V1Yw4IHBGrs61GtKX7y+FPh/+zOBRmcWrI9jwFHNC7IKyUhPdocnqEIGLONJjlRsZgA2KzZt728GfEmt0FmAdLKh+LayjgoTfNsvcvsZMuFp43HIc+fAe/PyST0/DvBqGJQaJHDgN4/ny0pDDgC/c9MHFycoXGwTot9Fgb7S5U0yhTiM+BfIa27BwHF6m7LZAUJVOZ+vfHWAw4+Wr7ZahsGoXqtXlzwGW6Vbi//YI051Ff8ai3rtTbECvvPfMEjgeSO2lxeHqr9WeZQ0Pf/wvjVeqb4d8YTExmsPUb+97RDVLHkMh/PuXEa7E3DIemmkXYf8Qzin+c/9esSrskKvt77BIbBlw/7F33AosPyceUuAgIVfRGxctQjgCq0Jk0b95dD30MFbnqi/cgd8eIr0wfP2lHxZPLouh1UIZ9I9RvTRcXZvGwF7dfUeHZui5yA16nk+pbokSBzniVxtQcLLsbqeBHu67yYJ3Wr8EkXP29ciVzJvIkHOn0He7CYhvW79Hyk+CmSlpiKvrqeg6XM0edSAnpOV9S7kSnai92eK7R+wtydQ8K3x2Mt2lDP3yk78+tBCwdzQxL0l3RTMajo4IPidAoN/GxgMWNhl371PEq33iRMhoshHpIvwPT4cBgSYRkxqXGDACfl4fUnUe7Xi7ROTchmQu0CcS76eARlxT3XffKb7jU7zyIuvGRwIucXN/+IOB7heDL/9W8SB50yJ0JQaDmC7pKuyhzgQKI3dGTDnwDjZEV/x0xHqssXJkFAKbsW7hPnE47A4RvaEjRHqI4/FeXXGHeB+tizoLsXAmNxZMrkK+UV3cNg1pJ/kjaYrlthhoGy6XpSTjMFwQ1eA7BsMAgcdq1R5cKi/fnIj10o6XzTKPt/esRv/b65+reqAfjjKl+Mfay+VxSJerWpqKy6g5x5Jt5/wt37CoTrbKG4Y9RfrrX47E4UIcJo4V3toEwFlqYU2W6wJWGzS1j/Ph4At3af481DO7C5IYCQkEyCYmhSeXEjAfT+VvSGIU7s8b32KeUvAx1unEvrGCDA/tCLglSAJbzkiCYMaJJAuS2/xmCPeFCgrumtHQsJA3VSqOwnCu84FyqJ8KXP+1c7IpvdzfcdvSMt+JEG2YIvw7ymkIxnugJOIUy+U3rmpu5GCoPw1Rgfs6HkIT66Ura8fBd6BBVrUJQpSHDaPOyL/2HYyeectpA8v2d3k/h4KfMzWqaXxMODM/YOi8svp+Zlo1sHtm3QZMLo6V75hPwMu6i0/tTCAAf/GVyhn7oa4FvilMGD7ugs6akgnos99d7+7SPvCxsHejD+JHFgqY9yic40DgwduzT6czoGwxPlK9UgnJ193d4o948BWvb62WxOucOLSyMg2Y0ew0/5hkyxCQeQ+Ubv5B3EIHp0cTlHHoNx7Z2T/TwdgmrcaPp+Ngfqa7ph6WQwWXhd3xAGDrLmE2/hBDDao6JrZZ2PwWFMWVXkMohzTI0tQr13me/nYW5Qr+Td+P5TSwWFz6vhrHRscdJ+2pZ86hHqrumQiTzQOS898lvBNw0ErzKUwDPXaqkDHV0nv6P2XGX3EK4Y4hyyj++2/r9MC9RTegPqHXvT+HLa+bZ10Fr1Pt/7nQLwg6i8DtoX84b10vsxwyDyx8tgUbRJ4bBKMvyP/CPU5JSOOOPXA6IPxAn8SlEN/XLVCfffRPCX335kkmPDIHROpJeFTmJ1p+QAJq5YsPY/zUFDXnOGrswr1kr5YtvtmtM7Nq5a47qJ5ZGbevi712mTIeQpeVC888CCXgn4V060GDynoRndXMuKRd1ytsqaIU41fssZhJQM0EmY1L5ZhwOG0r891tzMgfhI+5iEOeR7wU838BAMSiD/MvVdQDiUtkr6P/OEfpsRwQN4he4ITzwFTMbO3ipc4YMFnNS59lQP4tci44mQOCAmafdXI5ECrgMmkfjEHtqzPY5zt4UD4Tb2UvgZXYGTyXO58xQY+QTE3JZSnGdqZ39sO4PDNqXSbyg5aHzP+IfY52CN+HfKLO7Hv/ffQ+lCK4GusvIsBZXCtKe8zBpnnBRo/LqG5456xsnGFOg6488XMP6i/cCWMfzZ0xkFnQZFdO9LH9g81KY+v4yBY3DRS9Yjet+18Xtgj8BsHT9eP4Q8FCUhZFHXNSxrlCNF5860GAS/erQjy3IO4dHCx1wWSgIwYtTl2Rwn4aWgRJof4gz8/jpN+mwBF/o/uEnUEzP1nnAT0xZyraf+L+HaitdhWhITcIq+s9Yg/WoqH1xsZohxRUlrWRpLwSu5m+gDSx0si1E7vPAnXVWOK1YtJcJu2mxeoH3/JWC/5iQTpe7rzZ/0i/5uDzOTLzL4/ca7050YbCowS1gXY+1AwblXnuiGagoxFbM6CbApa8vgPlZVQMHXrDO+TJgoaDyc6Vf+gwLHs57mliFMrp+vPMgY4fX5tQUgxwPzLnq4QlDNPN+sVWiKeJBPO3ihI5cCTedgYzymUC+XcHysiOCD4wUO1B3Hms7/ELO7TNHe6TXWH/DrJAY2x7gRupJ+J/u7cRVkc+OoX86Uc+UfEk9rCFNIVBGRdVj/fw/5vnnxqGvfN6Xx53RZ9hIV4tCp5eqMa8epO06GpjRhcHzx0PN8YA5N1jyo3n8XAZlPBY99yDAKC533v6sHgjMf1oPu89NxUINcPWQy6/+94Gu20xWFTR3NktAfda28M6S19dQOHus/FcQPFOPzb9mzGIZJym588jnxHYsGkL+KOFowp/UiSgIPJVbuE1qN1Fjmacs2QgLMqg0s6HFGebPi4bArp47DE9DdLgGPL/PyKawRok3rO9gUE+LT9ejzegnhV+okT/p2AB0/GRlegPnPJXOluwQoSzPJ/KCsok3Dh2Qd+3IgEPp7ayovocTqN7Zkk7E5m//Y7S+tkZt9/Vt6jqN5+EjqEFp3xXIJ8+M01TxM5ClaE1v2ah3JG5PG1ZMyYgulTLjYYBcGf5i245UefEzHk7/0wJ42CO2Pucb9L6bxx6OrfJfuVnq+61fFU33TmwPdHf5sfoPVdUee/vy2e1gHBzu5ihHHg9a2zfteOoOt25d0bmBxYZVH1db0TB07Mdvn0huBA3NGbORSHA8vunHO76MmBe8elNf2PciBPtImlmsKB4aEmS4zbFaZdemk9CxwOL4rm20kCf4m3vPom2j9W51+7ZyhMc8fyP4f2pchhcJhdYLmTgUGNSwbpHYHBAYXSbrdHGORXd51bN4T0surplPNiHOJ2TO+04tCx73p161bEmadn/5K2wiGo4mOpF8qx7kxH0iMEh5c2vI7qlxBfsLgcLG/h8OsME1VZHJa/LXy6YBCHjaqzO4MX0v4xM/8Yqbklsg1xSMWFMm8tjIAmi+Zu0SMETOhaXZS6Qu/DSKu2aKqWIP20BO768hz1m3vHg0cGka8EJ/U8+E1Az2tnZw3EIeNRoX38WnSPmShlFx+wofWxeYWS/uBJ9D6XqWbrFJpXU108XMMQrxpFtjY++kKCcVFpogA/BQfcXq34ok5B9O8w04vG9FzVVtx540AgfQ6xb8r96LcMeh5CXOVPe/KOgqL5LcfX3OTA1QsxmalIB+ZCFv3yiB9meui3We1hIign/P8BNQeO3Jsaa0vjQGeFv+dH5AeXO5y3/kX/fiZ3HI/HPcvI5kDodZ7VT/No/ujOPnLmTT4H/JY0BW1Cj9xVfj9GKl3+Oxf0U7L+IGc24ivVe8NJSjg0Zi6nPHfSvjGTLxVC3dXt6PVnrybV7jth4DPMSvl5GgOut6xnC3Mx0DGW1Ul5jcHVQyfCv09hcPKB3zyx5ShPlHT8r23AwX38iU0U0kf11dF+K28c+PcvweQicHDOwVhnL+MgsUL+2dxMHC5F9KlFV+OgIrRybPNHHEoWii4z5yZgT5LRw79i9P6LVmwVuXobAdHfFh+IMKN7jEfIBgU8lgBJrWYFjUI6Xza1/ng+pwflzj61Gwl/6PMgD7ia851Rj2Gu0Zp7R4eEY6HH58sjXYg97FD1ZZPQJpz94CPy17qavXU3YtHzE86bThaRUDCStUawFfUZJ+fglCESZmfWJXUNkyAqvsjX8TcJXP8KEQX1c09pndZCPHr8wSKpvRQ8qBXWivKne67NGdlbZxCHyLJuDXkinuwKvNoQEceBxNSzZ7POob6Ztoi3IJYDGVuqJAyQT3xd0Oa/8jK6/1eZdGshPbx95mU5kErrZebndOvXiGgeof1j+0Lmh0EXpBuP7EY7Hw7s4Hb80ov67eku39UNyEf2DHgsbz+M/Mm0wVnIxgUqvnTe0xpl/re/WSay55S7CPL7nMSnmBoG7j/m1XMmHeBPM5/gIdRnWwOmd0hoXRTuVlwbVobBv1r1EoOdKzSjw79gcOe4aN8b9HM+Lm1YdQz1livU5ezhHShP9k5PgnCIMljtxxVA95Yiz4AnxG0cBriUuefX4P+dKzSMONBQMYqDfGq96ue5BNhuDrC+tJyAcyVqGRtRv/0kHnQhTZ+Akqw8YwPEqWwPYxUJZ/qc4XKb2tFtNwg4rm2WrlNKwIa+kULedwQkvPUy5UMconAy4XXtL8S5dV5B4otJ6BYwWn1KiYS4il4lG1O6v9SH+wrtDSZh+MLwGZczJNi4+5vjaSQEO/3o8byP+q2d76kjSCd7tHi2sbtIcEzardk9QYL1rhGddJQ3md+WPXVTpsD63wel+8zM/CH/3VheO+KGuM8MuXmoV1z447BwCfIDJ6OylZZIJ2InrxYcC+VAbFko4y56DJczq5FC+cJ9YIO3DXr8Z6/naB79rjE96ebAwf1pQhcfcKCd20JkcyX6Pbuy1xy9z4HjvR0PZGs5MLmqxssOPbrc9k/+hrjjkqRBn1U50k2k+slN+i6wcJfOVdd6JvSua96iW4tyW87Q54QYDuu8SpXkEGdcuVjwceVCDDwlB+JLVmLwTsVS/I8ZBp0Xl6HmSHPHD49lf6ueI/4YY+ZrzEJc+alv9waUL3vyApSkVHC48MhRzNIEceaXJlbkfpo/PO1Pt6+Los99HDrk/fjgXRz8sywiqhF/LNgTJOGP+kti380axb9IRyajxRnCaH0dSKVm5B8Xb2rVrNtCgLwB0/ED6rkiX+e7XXdFz/MkOk6cJiCEy3usL4WAmxMjYRPF9D6MZNrZ5Nf9qBcfUIm7MoH00z7QobKInpfxVw+v0FOn8+VkBvuTWyAJziWttvEXEadU735bkUfCdptfC/2aSZA5Ruy7/Z72j7srz/7EfpJgaTG8LmsRBa6V64WUELcmtXDMJm9z4FcRz0jZWdQ7ZzF/fgvigKRvWpM/8oWTTgrOAUgXL6WMOnfm0DkxalCo7I58P/L04h3VaP1iFfTf7C/lAPWEw56D1n1Mp1jb5S4HZkcJbsxA+nKBcgXzy3RvMTTUvwgn0PueTj2sPc6BLx0/bj4L4IA2R83UwoMDfevr1VUQtzxQMbu93JsDDeHPn9Y8c/5vDp83fawthgDx1lFMYj7y95XsdQ3IP579mj6YjMGH4MrZs+cjvjB84fZtPQYWGct8Ipmop+jrSu2KxEBvyc5TJhX0vpwXaukxfDi0eE8nBT1X/zY9dkL9hfv8xJS+Gw6znrTkXDyJw0hAQJENypfFTbWPnpTisGhZiqvsMxxezLp+bm0PDgkjaUUqk6j/rpk+sU/Akuv6lfxrCPhr3vOwWQf11XXeR8uMCIhtFzkZfICA2Tlp1u7+BFgQtW82X6D7ruiF1Btx9wlg7a5awW6mfeRDL2OPDi9a77e9vTrLSQgkk9Z2In28j57yU7clgX32R7iJD+0fNUsUiFnptH/k/cxYIfqShHtNd/E5fSQcr73rx4f8I0RvurFwYM4+reP7UJ84lCI4PzaYA5pBSup2jjQfnpzkfGtBHKl6UXoB+wDSQU7cgcOWyE9M6j8vM0c6Wd256ct+1D+lDtwdxzjA8ymQNxddf3nsVroVen7u0tWT7og7DxjU84hRHGCtatu1wI8D6XwfHb6h9bc7klbigXLj06ZaWfUQxCl79IM3HqQ/T+b0bYb8J8hKz2OzGwe4PIbavOKdwS+lZI+0MhPCjpfH6/oQ0PanU0qfGwf4+b0vTxcDeZsXWz7yYRCjSAg0r8XgBG93W48dBtOnyloOYTC0duc2NeQjAv8KNQaOvxq0rDtQ3+XIcxXOQ9wZeDFwCOXL7ZFm++Dd9L7+zLmxmf2XCuFM8z+o387SPi+3qQz1XdOjIq5t+H/z/nVm42lnJxC/TB9b5idAk/p49akcARdyNxSpIX3sv6r1VnMvAU6OJrqr3FDOpCqMup8kQFeeLFqQSJ8HmW2uH0XW0/v+vz4Nly9HnMph35ybNYn6jVGh3uVFNI+48uurXtuBfGOXWPd3nD4XwrVUyebbJdRrV6Y28WWQME9J0ECrioQKMD4n6cqBx93+QuUUnfc3hDrNfqLX50jaVs5B3/+pMQ/uZsQDHbZlw1u9OLDNRC9sG+oP5QHTBs4B27DULG8/mg9mdDSjqyXlkXuT0L/f5KOib41+bjtR3LndndbD18ticw6xOP/1nYB4EeHzyDeSHPPeWPtzYMpLyZiBdCun2KS1Ooj2M/P0OK8TbA6sLXm5N4LtDLEm7htS/jKg4Mepj8kU6ovCpQLHBjBIaoqOdZdCPvCJ7xNzNvZf3rQ7r282R1y6U6/y+taTiFeLgieeJaAebHXt2tV6DEZ+PDT2nMCAf1dJbtQcxLmJ4QZTq3EQTgkylzfEwau32TsM8cca20vPZjshXXTVR905Re/P7c1t+Z5zD4dUcvxQYAsOD7xduuI/4CAod5rFRP5hsddT+TofAWEfpEljGaQLju3yvg3ID3RdOE0mBAhN8OAZqOemJU5vPBOwSujzrqFoAsyuXz16Pp2ep5IHyv64NRDgy9sWYTRGgMDuDfmx3CRkXo6sGF5AwuL6Ad6tKqi/MkRyv20nwbfP1PfsARIM7zo0hxwnYfm2mAjJGPK//J/hgpnvf6ZnzjyXUX+yVsqffv7tgoSAN1q3Qrb2rg02iAvctXQ37eOAzb6afhk7Dix6GrrxBvIDvkenDFKQr5SZGvgoMGifkPx3kIgDuyrO7oy2o30jaUOz6Hx7DpzJSHD2s+XAUL7gmxDkOyXW+mxlnAMCh/NuGSLf+Zwl0nfEgdZDnYjtaz6kz55LSp9BjQOzYnw+K6k6g2HinrxXPYz/9kGzPr621WvHYHa4ZuAqEQyqGabpH1C+sO/G1nnoYFBuVumrSmKgURfceN8Xg0WGpckW0RhMyuqyWVXIT+ZOn/jH4O2Pj6q6c3FYcvIis2sV6itqG73zAYdrFikNPWY4JMcGeOoycZBN9PSxC8IhM8XR3/8i/t/+z8tHte9aGnEYVOetsX6Pw6fgj3b5IzhoaHE9P444NWiB0CoH5CNbuYTU2VJIF6eNB+Zo0OfJZv5eKrVzfmIR0kddW6jqY6SPJ3WRuyuz6X3/mXOpxvZqZ88NEXC0u7dJfR4J2tNjJzHEpX1v3zkok//1fxHVdsEBAw7cE3SserWLA/q9R2ZfN+JAkRIW9wFQzr8OFU80pddzJHXFj8MkB+rbA6VL0Tos/sWeO3qMA2HrTIrk0P08PYUTCOfACU+5A8GxNC/MPJ/JpRkdtl0/F3olhL7vZ7g1GS/sswiir7+LiUuJjaS5Jrdn5Pp75EtmH73kW1GfsY66mnQI+dYa6ebtK9Dn8RoaSB5F/vFar3nWX2PUk7h3qnvOdYYbrkOcs08ZoHOyNlh4FwFXBB7xWNXQvWWGO65OHmSVbcVAymAb/3p3xCGfXNN6j2NQtNTUVz2Vnn+8aty/cMckva8/fOf3neVr6flHhc+SFYv24UBd9AswRvkSOFHuVov67Qq11TcEruDge9Sz1DcfB+Y6ocpN/3f+466AEI/lH8QlBdrXRSUIOKY08euGBr1PR5pM7wAQQJzS51FyICBg+NSvDJSXJ+8nmJw7Q8A9A7No9QyUI7+Go+chDveQacItelG/+UUoaP6g+0u7mvanuFUkRF//u0VQngSf6WNi5zkw30Dvyu7z9Bxq7m7taDP0fS6PTbgUjtYlRbZNgwvd5zpqVpf/WnMg3vDJ1BJ0n5p5F+dqIB0tjrwVbWKCfOTh0sJgpK/vyC2bNnDAw8JkP/dmlCfIBZ9v5YD9gs/mdcb0+/e6llWoIr0JehWW6tvSHDLjD3prbW9O2tHc4vqcu+A2ypXs4eHYbuQHa1e27BNG+rGqDzRvjKQ/v73fzVpXpJOihBV8oYhH1z/mbig6hPj0bKGPnDTq0xsKDpwbc4Liol2+tfcZ4Pkm6a/jTgK8KPEFV+9jcIbfXy6KG4O2KwUNAj8dQHv+SGPpBppLDcJjda7EYlAbG6FWmYnB9i/7KnWfYZB4Kpjz+xsGwurVb0P4EW9E83ZMKeIQQEgqtG5APVWuhK8Acci++dBY4o6DUVrfsPdpHPKOeec63cAB284ba4jyZTLUsTymAQfLfwdxcdDuUTKSRvyRUVwmKiiCepbB6LPcNTR/DM2bVgLiVoHp/xndY7L1sYBJL3quOtN3XWYNHl/0gObTmVwZ/jR2udmXA833Ttll+tG8P/P6zHxabfLD6bkXUT68+lHZepoDupcExZOjkZ9LNpnKR9GP/7Yho2k9zcwj5i/F2qd8aG6MeXDcqgzdx/tLj3NqLnBAuM1L78M5ei4+o88Zvc7MT2e4pffPgGcnyqu7mJ7teqSTeR1HVtxG+hET7dHrMEO/t3n+tQvGtK5m5h0iV+IizvjTPiTIM2FwRYYDbxR1u/26neBn+r7wvLsMKPVoiR3ZTICfhazspYcY9Ds0ao+hfPl7aT0uswQDKzU7vm4N+rzHPMuCELtTGKzkebFEIweD1aoFnUeaMLjNV6oQMYWBYsbsgvkSOGw4KjDxTZ3Ol7z3bf6+yD9iR42Hr3JwcHhvIpAWQs/HhIK+6bjdof++wW2x5E+FVhw8Ns1+7POT7rcz+gj0azo3y5Dut5B7cw/pQkD+embs2GECVK3NSMkTBGxvPLc5DfWYvf8GTvR+7uflzfbSaD3YpsV8thfoOZTUzdDzdTfp+fWBvNDDlXH0PoX1b7tlqzKQbvZlL/VDz3fjCsdCbiGfFq8n9LPonhlU86vn3TV6LjnTUyW7ie1i1XRPnZlnzvTfmX34hTr6t3agzzN5Z/6fu+fpOerM5/JrHynrj6XnYTO99rS5WoxbGv37Z3Q6k1MzfjJzPbXcN+BLCeq5DxYj8uXAq+6no74KzrBOZWHjvheM/+aPM/PPPXtNX43JIL+Y549uDQxMziiGG6E+8zJC9jJhi/TS/N3gdSgGtn9eC0qnYSDd885IphKDJS37x/T6MSgR3xXgtQyH3aV+q+WQf+Tenrgrp4XDX5ao8g8THGJ+GXVeR3z6+NTEsl1Hcfgpn6706yzqv85HX5il4rBN5oqRRAkOF16V1w++QLx6sWVz41ccDi1fwsWaj3rqTk+D2+IE7G6V9rfYSIDK6LmOYygfrbuWHotiEZC7iTw17of00xM57wbiEKfLSn9dIoj/5tMz999MTjd/YYtNXKD3weuNp09ScKDaWYngnKa/95nnM73QmbeTPQv5wbpF7R6Lz9BzKmm3mx0+6JFpXfj3APKRt4kxFxLCaB+fuW9n5pWjLb/uNgTTXDvDDQL9HKn+cDoXFP8dhEd59N1BUhTp0fVg0uDVu4hTqsfGx8tRnxGuP2R8H/FL54fnkg2o/6Ryy7+tRP60Xq/RoQj51TChIpjDgeshCY8uo5+z9dQK7TjEOwMKT/QV0ffwrliiyFQK6e37Pl3Tr04Q05uTO6uWAT37bY0mENdZZbuqrv6C1tl2Z9McFQxC0mSttksjHom7NovYjYFq26Gch24YvODq4F4QgYFRwSHegSLEs3N3Jls9x2DuekX3a6OIX03UtW6IoF57/9vldaq0f8zs7xcsurez2pvuL9OtUuAcDq07BE4oXqX/zvKt1zcLv0oc6iUv2W5+hYNYQ9nArDEcOIHtnCe8BEh9vvp4pwg9L4uP13svtwP5YHWagr0l8o2sv6Kd9zhw+O+r+PVl9H2cI/HERiOJzoV/x6yT6bnUzL6o2De7tbLo/ja+zLPhdQ0HxIcctCTROkzvCkSj14eiIh/WP0C6ae1t4a+i14e7fqR/El2XfckmhepRDnxuLd/4HPUTVe1XLjX047R7JT3mgHyjs8fSp4gvlDf0hr5HuuuztNjRxwGTR71zpHuQLu55nF7QQr9/Zt2b1PQfmCOfidbXymHdoX/vMlOltFPV9NxsZn+FJ0zE4HoaPZcv7/tQKop8oyFIxO52Me0feemH7vL9cYL5jq6/zr9mgEyY3uJNKK/DTl22qOPC4R5ahWgFDAjihUIb4lS985rMZTwY5KwYuZKxlD4HokZV7lith8GXgui3ETYYFF+OXXz6IAY3Ti8rTbuMdOK8fE5uLb0vM6M/VXvlVbcRvxaRMhIN8jgY8u3KCNVEOhDYeivVFIdQ1yXrBVkoX9QyebvccGiWVU7rOkyfBwhSvqIqko5DfoGFV0kVDr3b5mZgKIf+BzFt3CQ=AQAAAACAAAAQRAAAVTYAAA==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AQAAAACAAADIagAAbhMAAA==eJxF0+kL2HUBx/FBIfqgEH2QeIBGNmiQCoaYYMYSCVfRg2XhAxURshDBCn2g5Kbb3KG771Nz3lez1KZ2EiIqVpJHYiVq4kGiOdOJ1l4/eH/3efT6Az7vOQuvPO2Jr1952ox9m3f5vOH7Lpk//Mb3rxo++pyrh+fOXTC85MyFw7/96qLhPSddM/yFLy4ePudzS4bXHL50+NGDlw3/74Brh0/8aL8v/M91w9teWz781D9WDB/49MrhUx9fNfyj368evuWBNcMv3LV2+JCd64bP2Lx++IqVG4Z3Ldo4/OoVm4aP/PHm4W//YMvwwnO3Dj/4nW3Db8/ZPvz52TuGzz75+uEVx90w/Mdjfza894gbh48/ZOfwBQfeNLzp4/1+8t2bhz/5xi3DJ7946/DFz9w2fOMTtw8/94c7hj+9+87h2ffcNXzZTXcP37nlnuGXVv18+LDFu4a/8dN7h+f/5BfD9//wl8Nvnnff8Ge/e//wWd98YHjZ1341/Lsv7x5+7/gHh2fNfGj4vKMeHl536K+HHzvoN8P7Xjw8Z18jT35l3mSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSN/OlL8ydrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRr5C+zrpqskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskaeOuXqyRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRv76mQWTNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNfL0pxZO1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1sizn1g0WSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSN/+2B/I1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI8+/dc1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjbzwyuLJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGvn780smayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGska+Sff146WSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSMvPrJsskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskZeevjayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRp5+d7rJmskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGvkX7cun6yRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRV7evmKyRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayR19aunKyRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayR15eumqyRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRN+etnqyRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRf1+6ZrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJG3rpo7WSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNvH3+uskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskaeed76ydrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRr5N1vbZiskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskT2nb5yskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskf+esmmyRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRt4/YfNkjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjeyduWWyRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRj48autkjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjXx06LbJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGvn4oO2TNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNZI1kjWSNTJjxo7JGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJGskayRrJ/wfKVOnPAwAAAACAAABAEAAAGxUAABYVAADOAgAAeJxd3dUTQFXZRnFP0N3d3d3d3SidSop0d5fS3aCUIojS3SBIKSUg3d0o/V1853fxPufmmVmz/oA1e+bs/bOf/f/XDLv8sMsFb4ddITy8G3bF8PB+2JXCw0cYduXw8BGHXSU8fKRhVw0PH3nY1cLDRxl29fDwUYddIzx8tGHXDA8ffdi1wsPHGHbt8PAxh10nPHysYdcNDx972PXCw8cZdv3w8HGH/Xl4+HjD/iI8fPxhNwgPn2DYDcPDJxx2o/DwiYbdODx84mE3CQ+fZNhNw8MnHXaz8PDJht08PHzyYbcID59i2C3Dw6ccdqvw8KmG3To8fOphfxkePs2wvwoPn3bYbcLDpxt22/Dw6YfdLjx8hmG3Dw+fcdgdwsNnGnbH8PCZh/11ePgsw+4UHj7rsL8JD59t2J3Dw2cfdpfw8DmG3TU8fM5hdwsPn2vY3cPD5x52j/DweYbdMzx83mH3Cg+fb9i9w8PnH3af8PAFht03PHzBYfcLD19o2P3Dwxce9oDw8EWGPTA8fNFhDwoPX2zYg8PDFx/2kPDwJYY9NDx8yWEPCw9fatjDw8OXHvaI8PBlhj0yPHzZYY8KTyfogWOGPTq4Hjg2PFwPHBcergeODw/XA78ND9cDvwsP1wMnhIfrgRPDw/XASeHheuDk8HA9cEp4uB44NTxcD5wWHq4HTg8P1wNnhIfrgTPDw/XAWeHheuDs8HA9cE54uB44NzxcD5wXHq4Hzg8P1wMXhIfrgQvDw/XAReHheuDi8HA9cEl4uB74fXj4lsP+ITxcD1waHq4HLgsP1wOXh4frgSvCw/XAleHheuCP4eF64E/h4XrgqvBwPfDn8HA9cHV4uB64JjxcD/wlPFwPXBsergf+Gh6uB/4WHq4HrgsP1wPXh4frgRvCw/XAjeHheuCm8HA9cHN4uB64JTxcD9waHq4HbgsP1wO3h4frgTvCw/XAneHheuCu8HA9cHd4uB64JzxcD9wbHn7osPeFh+uB+8PD9cAD4eF64MHwcD3wUHi4bvh7eDpBDzwy7MPB9cA/wsP1wKPh4XrgsfBwPfB4eLgeeCI8XA88GR6uB/4ZHq4H/hUergeeCg/XA0+Hh+uBZ8LD9cCz4eF64LnwcD3w7/BwPfB8eLgeeCE8XA+8GB6uB/4THq4HXgoP1wMvh4frgVfCw/XAq+HheuC18HA98Hp4+MXDvhEergfeDA/XA2+Fh+uBt8PD9cA74eF64N3wcD3wXni4Hng/PFwPfBAergc+DA/XAx+Fh+uBj8PD9cAn4eF64NPwcD3wWXi4Hvg8PFwPfBEerge+DA/XA1+Fh+uBr8PD9cB/w8P1wP/Cw/XAN+HheuDb8HA98F14uB74PjxcD/wQHq4HfgwP1wM/hYfrAQfmPwXXA01TPVwPtE318LuH7Zrq4Xqgb6qH64ERmurhemDEpnq4HhipqR6uB0ZuqofrgVGa6uF6YNSmerhuGK2pnk7QA2MMfPSmcj0wZlM9XA+M1VQP1wNjN9XD9cA4TfVwPTBuUz1cD4zXVA/XA+M31cP1wARN9XA9MGFTPVwPTNRUD9cDEzfVw/XAJE31cD0waVM9XA9M1lQP1wOTN9XD9cAUTfVwPTBlUz1cD0zVVA/XA1M31cP1wDRN9XA9MG1TPfzVYadrqofrgemb6uF6YIamergemLGpHq4HZmqqh+uBmZvq4XpglqZ6uB6Ytakergdma6qH64HZm+rhemCOpnq4HpizqR6uB+Zqqofrgbmb6uF6YJ6mergemLepHq4H5muqh+uB+Zvq4XpggaZ6uB5YsKkergcWaqqH64GFm+rhemCRpnq4Hli0qR6uBxZrqofrgcWb6uF6YImmergeWLKpHq4Hlmqqh+uBpZvq4XpgmaZ6uB5YtqkergeWa6qH64Hlw8P1wArh4XpgxfBwPbBSeLgeWDk8XA+sEh6uB1YND9cDq4WH64HVw8P1wBrh4bphzfB0gh5Ye9i1guuBdcLD9cC64eF6YL3wcD2wfni4Hvh5eLge+EV4uB7YIDxcD2wYHq4HNgoP1wMbh4frgU3Cw/XApuHhemCz8HA9sHl4uB7YIjxcD2wZHq4HtgoP1wNbh4frgV+Gh+uBX4WH64FtwsP1wLbh4Xpgu/BwPbB9eLge2CE8XA/sGB6uB34dHq4HdgoP1wO/CQ/XAzuHh+uBXcLD9cCu4eF6YLfwcD2we3i4HtgjPFwP7Bkergf2Cg/XA3uHh+uBfcLD9cC+4eF6YL/wcD2wf3i4HjggPFwPHBgergcOCg/XAweHh+uBQ8LD9cCh4eF64LDwcD1weHi4HjgiPFwPHBkergeOCg/XA0eHh+uBY8LD9cCx4eF64LjwcD1wfHi4HvhteLge+F14uB44ITxcD5wYHq4HTgoP1wMnh4frhlPC0wl64LRhTw2uB04PD9cDZ4SH64Ezw8P1wFnh4Xrg7PBwPXBOeLgeODc8XA+cFx6uB84PD9cDF4SH64ELw8P1wEXh4Xrg4vBwPXBJeLge+H14uB74Q3i4Hrg0PFwPXBYergcuDw/XA1eEh+uBK8PD9cAfw8P1wJ/Cw/XAVeHheuDP4eF64OrwcD1wTXi4HvhLeLgeuDY8XA/8NTxcD/wtPFwPXBcergeuDw/XAzeEh+uBG8PD9cBN4eF64ObwcD1wS3i4Hrg1PFwP3BYergduDw/XA3eEh+uBO8PD9cBd4eF64O7wcD1wT3i4Hrg3PFwP3BcergfuDw/XAw+Eh+uBB8PD9cBD4eF64O/h4Xrg4fBwPfBIeLge+Ed4uB54NDxcDzwWHq4HHg8P1wNPhIfrgSfDw/XAP8PD9cC/wsP1wFPh4brh6fB0gh54dthnguuB58LD9cC/w8P1wPPh4XrghfBwPfBieLge+E94uB54KTxcD7wcHq4HXgkP1wOvhofrgdfCw/XA6+HheuCN8HA98GZ4uB54KzxcD7wdHq4H3gkP1wPvhofrgffCw/XA++HheuCD8HA98GF4uB74KDxcD3wcHq4HPgkP1wOfhofrgc/Cw/XA5+HheuCL8HA98GV4uB74KjxcD3wdHq4H/hsergf+Fx6uB74JD9cD34aH64HvwsP1wPfh4Xrgh/BwPfBjeLge+Ck8XA/4Ie2n4HqgaauH64G2rR6uB7q2erge6Nvq4XpghLZ6uB4Ysa0ergdGaquH64GR2+rhemCUtnq4Hhi1rR6uB0Zrq4frgdHb6uF6YIy2ergeGLOtHq4Hxmqrh+uBsdvq4XpgnLZ6uB4Yt60ergfGa6uH64Hx2+rhemCCtnq4HpiwrR6uGyZqq6cT9MAkA5+4rVwPTNpWD9cDk7XVw/XA5G31cD0wRVs9XA9M2VYP1wNTtdXD9cDUbfVwPTBNWz1cD0zbVg/XA9O11cP1wPRt9XA9MENbPVwPzNhWD9cDM7XVw/XAzG31cD0wS1s9XA/M2lYP1wOztdXD9cDsbfVwPTBHWz1cD8zZVg/XA3O11cP1wNxt9XA9ME9bPVwPzNtWD9cD87XVw/XA/G31cD2wQFs9XA8s2FYP1wMLtdXD9cDCbfVwPbBIWz1cDyzaVg/XA4u11cP1wOJt9XA9sERbPVwPLNlWD9cDS7XVw/XA0m31cD2wTFs9XA8s21YP1wPLtdXD9cDy4eF6YIXwcD2wYni4HlgpPFwPrBwergdWCQ/XA6uGh+uB1cLD9cDq4eF6YI3wcD2wZni4HlgrPFwPrB0ergfWCQ/XA+uGh+uB9cLD9cD64eF64Ofh4XrgF+HhemCD8HA9sGF4uB7YKDxcN2wcnk7QA5sOu0lwPbBZeLge2Dw8XA9sER6uB7YMD9cDW4WH64Gtw8P1wC/Dw/XAr8LD9cA24eF6YNvwcD2wXXi4Htg+PFwP7BAergd2DA/XA78OD9cDO4WH64HfhIfrgZ3Dw/XALuHhemDX8HA9sFt4uB7YPTxcD+wRHq4H9gwP1wN7hYfrgb3Dw/XAPuHhemDf8HA9sF94uB7YPzxcDxwQHq4HDgwP1wMHhYfrgYPDw/XAIeHheuDQ8HA9cFh4uB44PDxcDxwRHq4HjgwP1wNHhYfrgaPDw/XAMeHheuDY8HA9cFx4uB44PjxcD/w2PFwP/C48XA+cEB6uB04MD9cDJ4WH64GTw8P1wCnh4Xrg1PBwPXBaeLgeOD08XA+cER6uB84MD9cDZ4WH64Gzw8P1wDnh4Xrg3PBwPXBeeLgeOD88XDdcEJ5O0AMXDXthcD1wcXi4HrgkPFwP/D48XA/8ITxcD1waHq4HLgsP1wOXh4frgSvCw/XAleHheuCP4eF64E/h4XrgqvBwPfDn8HA9cHV4uB64JjxcD/wlPFwPXBsergf+Gh6uB/4WHq4HrgsP1wPXh4frgRvCw/XAjeHheuCm8HA9cHN4uB64JTxcD9waHq4HbgsP1wO3h4frgTvCw/XAneHheuCu8HA9cHd4uB64JzxcD9wbHq4H7gsP1wP3h4frgQfCw/XAg+HheuCh8HA98PfwcD3wcHi4HngkPFwP/CM8XA88Gh6uBx4LD9cDj4eH64EnwsP1wJPh4Xrgn+HheuBf4eF64KnwcD3wdHi4HngmPFwPPBsergeeCw/XA/8OD9cDz4eH64EXwsP1wIvh4XrgP+HheuCl8HA98HJ4uB54JTxcN7wank7QA68P+1pwPfBGeLgeeDM8XA+8FR6uB94OD9cD74SH64F3w8P1wHvh4Xrg/fBwPfBBeLge+DA8XA98FB6uBz4OD9cDn4SH64FPw8P1wGfh4Xrg8/BwPfBFeLge+DI8XA98FR6uB74OD9cD/w0P1wP/Cw/XA9+Eh+uBb8PD9cB34eF64PvwcD3wQ3i4HvgxPFwP/BQergdc+PpTcD3QdNXD9UDbVQ/XA11XPVwP9F31cD0wQlc9XA+M2FUP1wMjddXD9cDIXfVwPTBKVz1cD4zaVQ/XA6N11cP1wOhd9XA9MEZXPVwPjNlVD9cDY3XVw/XA2F31cD0wTlc9XA+M21UP1wPjddXD9cD4XfVwPTBBVz1cD0zYVQ/XAxN11cP1wMRd9XA9MElXPVwPTNpVD9cDk3XVw/XA5F31cD0wRVc9XA9M2VUP1wNTddXD9cDUXfVwPTBNVz1cD0zbVQ/XDdN11dMJemCGgU/fVa4HZuyqh+uBmbrq4Xpg5q56uB6Ypasergdm7aqH64HZuurhemD2rnq4Hpijqx6uB+bsqofrgbm66uF6YO6uergemKerHq4H5u2qh+uB+brq4Xpg/q56uB5YoKsergcW7KqH64GFuurhemDhrnq4Hlikqx6uBxbtqofrgcW66uF6YPGuergeWKKrHq4Hluyqh+uBpbrq4Xpg6a56uB5YpqsergeW7aqH64HluurhemD58HA9sEJ4uB5YMTxcD6wUHq4HVg4P1wOrhIfrgVXDw/XAauHhemD18HA9sEZ4uB5YMzxcD6wVHq4H1g4P1wPrhIfrgXXDw/XAeuHhemD98HA98PPwcD3wi/BwPbBBeLge2DA8XA9sFB6uBzYOD9cDm4SH64FNw8P1wGbh4Xpg8/BwPbBFeLge2DI8XA9sFR6uB7YOD9cDvwwP1wO/Cg/XA9uEh+uGbcPTCXpg+2G3C64HdggP1wM7hofrgV+Hh+uBncLD9cBvwsP1wM7h4Xpgl/BwPbBreLge2C08XA/sHh6uB/YID9cDe4aH64G9wsP1wN7h4Xpgn/BwPbBveLge2C88XA/sHx6uBw4ID9cDB4aH64GDwsP1wMHh4XrgkPBwPXBoeLgeOCw8XA8cHh6uB44ID9cDR4aH64GjwsP1wNHh4XrgmPBwPXBseLgeOC48XA8cHx6uB34bHq4HfhcergdOCA/XAyeGh+uBk8LD9cDJ4eF64JTwcD1wani4HjgtPFwPnB4ergfOCA/XA2eGh+uBs8LD9cDZ4eF64JzwcD1wbni4HjgvPFwPnB8ergcuCA/XAxeGh+uBi8LD9cDF4eF64JLwcD3w+/BwPfCH8HA9cGl4uB64LDxcD1weHq4HrggP1wNXhofrhj+GpxP0wFXD/im4HvhzeLgeuDo8XA9cEx6uB/4SHq4Hrg0P1wN/DQ/XA38LD9cD14WH64Hrw8P1wA3h4XrgxvBwPXBTeLgeuDk8XA/cEh6uB24ND9cDt4WH64Hbw8P1wB3h4XrgzvBwPXBXeLgeuDs8XA/cEx6uB+4ND9cD94WH64H7w8P1wAPh4XrgwfBwPfBQeLge+Ht4uB54ODxcDzwSHq4H/hEergceDQ/XA4+Fh+uBx8PD9cAT4eF64MnwcD3wz/BwPfCv8HA98FR4uB54OjxcDzwTHq4Hng0P1wPPhYfrgX+Hh+uB58PD9cAL4eF64MXwcD3wn/BwPfBSeLgeeDk8XA+8Eh6uB14ND9cDr4WH64HXw8P1wBvh4XrgzfBwPfBWeLgeeDs8XA+8Ex6uB94ND9cD74WH64H3w8P1wAfh4brhw/B0gh74eNiPguuBT8LD9cCn4eF64LPwcD3weXi4HvgiPFwPfBkerge+Cg/XA1+Hh+uB/4aH64H/hYfrgW/Cw/XAt+HheuC78HA98H14uB74ITxcD/wYHq4HfgoP1wMeVP0puB5o+urheqDtq4frga6vHq4H+r56uB4Yoa8ergdG7KuH64GR+urhemDkvnq4Hhilrx6uB0btq4frgdH66uF6YPS+ergeGKOvHq4Hxuyrh+uBsfrq4Xpg7L56uB4Yp68ergfG7auH64Hx+urhemD8vnq4Hpigrx6uBybsq4frgYn66uF6YOK+ergemKSvHq4HJu2rh+uByfrq4Xpg8r56uB6Yoq8ergem7KuH64Gp+urhemDqvnq4Hpimrx6uB6btq4frgen66uF6YPq+ergemKGvHq4HZuyrh+uBmfrq4Xpg5r56uB6Ypa8ergdm7auH64HZ+urhemD2vnq4Hpijrx6uB+bsq4frhrn66ukEPTDPwOfuK9cD8/bVw/XAfH31cD0wf189XA8s0FcP1wML9tXD9cBCffVwPbBwXz1cDyzSVw/XA4v21cP1wGJ99XA9sHhfPVwPLNFXD9cDS/bVw/XAUn31cD2wdF89XA8s01cP1wPL9tXD9cByffVwPbB8eLgeWCE8XA+sGB6uB1YKD9cDK4eH64FVwsP1wKrh4XpgtfBwPbB6eLgeWCM8XA+sGR6uB9YKD9cDa4eH64F1wsP1wLrh/R/xLv9SeJxd1lUTgAW5RWEQvpDu7u7u7u7uEumWku5WlO4OJaS7lRCQVLpbBSWl48yc+Z6Ld++bPbNm/YA15sgj/P/GGn7d4dcJPvbw64WHjzP8+uHh4w6/QXj4eMNvGB4+/vAbhYdPMPzG4eETDr9JePhEw28aHj7x8JuFh08y/Obh4ZMOv0V4+GTDbxkePvnwW4WHTzH81uHhUw6/TXj4VMP/Ijx86uG3DQ+fZvhfhodPO/x24eHTDb99ePj0w+8QHj7D8DuGh884/E7h4TMNv3N4+MzD7xIePsvwu4aHzzr8buHhsw2/e3j47MPvER4+x/B7hofPOfxe4c01/NzD7z38r4LPM/w+4eHzDr9vePh8w+8XHj7/8PuHhy8w/K/Dwxcc/oDw8IWGPzA8fOHhDwoPX2T4g8PDFx3+kPDwxYY/NDx88eEPCw9fYvjDw8OXHP6I8PClhj8yPHzp4Y8KD19m+KPDw5cd/pjw8OWGPzY8fPnhjwsPX2H448PDVxz+hPDwlYY/MTx85eFPCg9fZfjfhIevOvxvw8NXG/7k8PDVh/9dePgaw/8+PHzN4U8JD19r+FPDw9ce/rTwcD1weni4HjgjPFwPnBkergfOCg/XA2eHh+uBc8LD9cC54eF64LzwcD1wfni4HrggPFwPXBgergcuCg/XAxeHh+uBS8LD9cCl4eF64LLwcD1weXi4HrgiPFwPXBkergf+EB6uB/4YHq4HrgoP1wNXh4frgWvCw/XAteHheuBP4eF64LrwcD1wfXi4HrghPFwP3BgergduCg/XAzeHh+uGW8LTCXrgtuFvDa4Hbg8P1wN3hIfrgTvDw/XAXeHheuDu8HA9cE94uB64NzxcD9wXHq4H7g8P1wMPhIfrgT+Hh+uBv4SH64EHw8P1wEPh4Xrg4fBwPfBIeLge+Gt4uB54NDxcDzwWHq4HHg8P1wN/Cw/XA0+Eh+uBJ8PD9cBT4eF64OnwcD3wTHi4Hng2PFwP/D08XA/8IzxcDzwXHq4Hng8P1wMvhIfrgRfDw/XAS+HheuDl8HA98Ep4uB54NTxcD7wWHq4HXg8P1wNvhIfrgTfDw/XAW+HheuDt8HA98E54uB54NzxcD7wXHq4H3g8P1wMfhIfrgX+Gh+uBf4WH64F/h4frgQ/Dw/XAR+HheuA/4eF64L/h4Xrg4/BwPfBJeLge+DQ8XA98Fh6uBz4PD9cDX4SH64H/hYfrgS/Dw/XAV+HhuuHr8HSCHvh2+G+C64HvwsP1wPfh4Xrgh/BwPfBjeLge+Ck8XA+M0FQP1wMjNtXD9cDPmurhemCkpnq4Hhi5qR6uB5qmergeaJvq4Xqga6qH64G+qR6uB37eVA/XA6M01cP1wKhN9XA9MFpTPVwPjN5UD9cDYzTVw/XAmE31cD0wVlM9XA+M3VQP1wPjNNXD9cC4TfVwPTBeUz1cD4zfVA/XAxM01cP1wIRN9XA9MFFTPVwPTNxUD9cDkzTVw/XApE31cD0wWVM9XA9M3lQP1wNTNNXD9cCUTfVwPTBVUz1cD0zdVA/XA9M01cP1wLRN9XA9MF1TPVwPTN9UD9cDMzTVw/XAjE31cD0wU1M9XA/M3FQP1wOzNNXD9cCsTfVwPTBbUz1cD8zeVA/XA3M01cP1wJxN9XA9MFdTPVwPzN1UD9cD8zTVw/XAvE31cD0wX1M9XA/M31QP1wMLNNXD9cCCTfVwPbBQUz1cDyzcVA/XA4s01cN1w6JN9XSCHlh84Is1leuBJZrq4XpgyaZ6uB5YqqkergeWbqqH64FlmurhemDZpnq4HlguPFwPLB8ergdWCA/XAyuGh+uBlcLD9cDK4eF6YJXwcD2wani4HlgtPFwPrB4ergfWCA/XA2uGh+uBtcLD9cDa4eF6YJ3wcD2wbni4HlgvPFwPrB8ergc2CA/XAxuGh+uBjcLD9cDG4eF6YJPwcD2waXi4HtgsPFwPbB4erge2CA/XA1uGh+uBrcLD9cDW4eF6YJvwcD3wi/BwPbBteLge+GV4uB7YLjxcD2wfHq4HdggP1wM7hofrgZ3Cw/XAzuHhemCX8HA9sGt4uB7YLTxcD+weHq4H9ggP1wN7hofrgb3Cw/XAr8LD9cDe4eF6YJ/wcD2wb3i4HtgvPFwP7B8ergd+HR6uBw4ID9cDB4aH64GDwsP1wMHh4brhkPB0gh44bPhDg+uBw8PD9cAR4eF64MjwcD1wVHi4Hjg6PFwPHBMergeODQ/XA8eFh+uB48PD9cAJ4eF64MTwcD1wUni4HvhNeLge+G14uB44OTxcD/wuPFwP/D48XA+cEh6uB04ND9cDp4WH64HTw8P1wBnh4XrgzPBwPXBWeLgeODs8XA+cEx6uB84ND9cD54WH64Hzw8P1wAXh4XrgwvBwPXBReLgeuDg8XA9cEh6uBy4ND9cDl4WH64HLw8P1wBXh4XrgyvBwPfCH8HA98MfwcD1wVXi4Hrg6PFwPXBMergeuDQ/XA38KD9cD14WH64Hrw8P1wA3h4XrgxvBwPXBTeLgeuDk8XA/cEh6uB24ND9cDt4WH64Hbw8P1wB3h4XrgzvBwPXBXeLgeuDs8XA/cEx6uB+4ND9cD94WH64H7w8N1wwPh6QQ98Jfh/xxcDzwYHq4HHgoP1wMPh4frgUfCw/XAX8PD9cCj4eF64LHwcD3weHi4HvhbeLgeeCI8XA88GR6uB54KD9cDT4eH64FnwsP1wLPh4Xrg7+HheuAf4eF64LnwcD3wfHi4HnghPFwPvBgergdeCg/XAy+Hh+uBV8LD9cCr4eF64LXwcD3weni4HngjPFwPvBkergfeCg/XA2+Hh+uBd8LD9cC74eF64L3wcD3wfni4HvggPFwP/DM8XA/8KzxcD/w7PFwPfBgergc+Cg/XA/8JD9cD/w0P1wMfh4frgU/Cw/XAp+HheuCz8HA98Hl4uB74IjxcD/wvPFwPfBkerge+Cg/XA1+Hh+uBb8LD9cC34eF64LvwcD3wfXi4HvghPFwP/Bgergd+Cg/XAyO01cP1wIht9XA98LO2ergeGKmtHq4bRm6rpxP0QDvwpq1cD3Rt9XA90LfVw/XAz9vq4XpglLZ6uB4Yta0ergdGa6uH64HR2+rhemCMtnq4HhizrR6uB8Zqq4frgbHb6uF6YJy2ergeGLetHq4Hxmurh+uB8dvq4XpggrZ6uB6YsK0ergcmaquH64GJ2+rhemCStnq4Hpi0rR6uByZrq4frgcnb6uF6YIq2ergemLKtHq4Hpmqrh+uBqdvq4XpgmrZ6uB6Ytq0ergema6uH64Hp2+rhemCGtnq4HpixrR6uB2Zqq4frgZnb6uF6YJa2ergemLWtHq4HZmurh+uB2dvq4XpgjrZ6uB6Ys60ergfmaquH64G52+rhemCetnq4Hpi3rR6uB+Zrq4frgfnb6uF6YIG2ergeWLCtHq4HFmqrh+uBhdvq4XpgkbZ6uB5YtK0ergcWa6uH64HF2+rhemCJtnq4HliyrR6uB5Zqq4frgaXb6uF6YJm2ergeWLatHq4HlgsP1wPLh4frgRXCw3XDiuHpBD2w8vArBdcDq4SH64FVw8P1wGrh4Xpg9fBwPbBGeLgeWDM8XA+sFR6uB9YOD9cD64SH64F1w8P1wHrh4Xpg/fBwPbBBeLge2DA8XA9sFB6uBzYOD9cDm4SH64FNw8P1wGbh4Xpg8/BwPbBFeLge2DI8XA9sFR6uB7YOD9cD24SH64FfhIfrgW3Dw/XAL8PD9cB24eF6YPvwcD2wQ3i4HtgxPFwP7BQergd2Dg/XA7uEh+uBXcPD9cBu4eF6YPfwcD2wR3i4HtgzPFwP7BUergd+FR6uB/YOD9cD+4SH64F9w8P1wH7h4Xpg//BwPfDr8HA9cEB4uB44MDxcDxwUHq4HDg4P1wOHhIfrgUPDw/XAYeHheuDw8HA9cER4uB44MjxcDxwVHq4Hjg4P1wPHhIfrgWPDw/XAceHheuD48HDdcEJ4OkEPnDT8icH1wG/Cw/XAb8PD9cDJ4eF64Hfh4Xrg9+HheuCU8HA9cGp4uB44LTxcD5weHq4HzggP1wNnhofrgbPCw/XA2eHheuCc8HA9cG54uB44LzxcD5wfHq4HLggP1wMXhofrgYvCw/XAxeHheuCS8HA9cGl4uB64LDxcD1weHq4HrggP1wNXhofrgT+Eh+uBP4aH64GrwsP1wNXh4XrgmvBwPXBteLge+FN4uB64LjxcD1wfHq4HbggP1wM3hofrgZvCw/XAzeHheuCW8HA9cGt4uB64LTxcD9weHq4H7ggP1wN3hofrgbvCw/XA3eHheuCe8HA9cG94uB64LzxcD9wfHq4HHggP1wN/Dg/XA38JD9cDD4aH64GHwsP1wMPh4XrgkfBwPfDX8HA98Gh4uB54LDxcDzweHq4H/hYerhueCE8n6IGnhn8yuB54OjxcDzwTHq4Hng0P1wN/Dw/XA/8ID9cDz4WH64Hnw8P1wAvh4XrgxfBwPfBSeLgeeDk8XA+8Eh6uB14ND9cDr4WH64HXw8P1wBvh4XrgzfBwPfBWeLgeeDs8XA+8Ex6uB94ND9cD74WH64H3w8P1wAfh4Xrgn+HheuBf4eF64N/h4Xrgw/BwPfBReLge+E94uB74b3i4Hvg4PFwPfBIergc+DQ/XA5+Fh+uBz8PD9cAX4eF64H/h4Xrgy/BwPfBVeLge+Do8XA98Ex6uB74ND9cD34WH64Hvw8P1wA/h4Xrgx/BwPfBTeLgeGKGrHq4HRuyqh+uBn3XVw/XASF31cD0wclc9XA80XfVwPdB21cP1QNdVD9cDfVc9XA/8vKsergdG6aqH64FRu+rhemC0rnq4Hhi9qx6uB8boqofrgTG76uG6YayuejpBD4wz8LG7yvXAuF31cD0wXlc9XA+M31UP1wMTdNXD9cCEXfVwPTBRVz1cD0zcVQ/XA5N01cP1wKRd9XA9MFlXPVwPTN5VD9cDU3TVw/XAlF31cD0wVVc9XA9M3VUP1wPTdNXD9cC0XfVwPTBdVz1cD0zfVQ/XAzN01cP1wIxd9XA9MFNXPVwPzNxVD9cDs3TVw/XArF31cD0wW1c9XA/M3lUP1wNzdNXD9cCcXfVwPTBXVz1cD8zdVQ/XA/N01cP1wLxd9XA9MF9XPVwPzN9VD9cDC3TVw/XAgl31cD2wUFc9XA8s3FUP1wOLdNXD9cCiXfVwPbBYVz1cDyzeVQ/XA0t01cP1wJJd9XA9sFRXPVwPLN1VD9cDy3TVw/XAsl31cD2wXHi4Hlg+PFwPrBAergdWDA/XAyuFh+uBlcPD9cAq4eF6YNXwcD2wWni4Hlg9PFwPrBEergfWDA/XA2uFh+uBtcPD9cA64eG6Yd3wdIIeWH/49YLrgQ3Cw/XAhuHhemCj8HA9sHF4uB7YJDxcD2waHq4HNgsP1wObh4frgS3Cw/XAluHhemCr8HA9sHV4uB7YJjxcD/wiPFwPbBsergd+GR6uB7YLD9cD24eH64EdwsP1wI7h4Xpgp/BwPbBzeLge2CU8XA/sGh6uB3YLD9cDu4eH64E9wsP1wJ7h4Xpgr/BwPfCr8HA9sHd4uB7YJzxcD+wbHq4H9gsP1wP7h4frgV+Hh+uBA8LD9cCB4eF64KDwcD1wcHi4HjgkPFwPHBoergcOCw/XA4eHh+uBI8LD9cCR4eF64KjwcD1wdHi4HjgmPFwPHBsergeOCw/XA8eHh+uBE8LD9cCJ4eF64KTwcD3wm/BwPfDb8HA9cHJ4uB74XXi4Hvh9eLgeOCU8XA+cGh6uB04LD9cDp4eH64YzwtMJeuCs4c8MrgfODg/XA+eEh+uBc8PD9cB54eF64PzwcD1wQXi4HrgwPFwPXBQergcuDg/XA5eEh+uBS8PD9cBl4eF64PLwcD1wRXi4HrgyPFwP/CE8XA/8MTxcD1wVHq4Hrg4P1wPXhIfrgWvDw/XAn8LD9cB14eF64PrwcD1wQ3i4HrgxPFwP3BQergduDg/XA7eEh+uBW8PD9cBt4eF64PbwcD1wR3i4HrgzPFwP3BUergfuDg/XA/eEh+uBe8PD9cB94eF64P7wcD3wQHi4HvhzeLge+Et4uB54MDxcDzwUHq4HHg4P1wOPhIfrgb+Gh+uBR8PD9cBj4eF64PHwcD3wt/BwPfBEeLgeeDI8XA88FR6uB54OD9cDz4SH64Fnw8P1wN/Dw/XAP8LD9cBz4eF64PnwcD3wQni4HngxPFw3vBSeTtADrwz/cnA98Gp4uB54LTxcD7weHq4H3ggP1wNvhofrgbfCw/XA2+HheuCd8HA98G54uB54LzxcD7wfHq4HPggP1wP/DA/XA/8KD9cD/w4P1wMfhofrgY/Cw/XAf8LD9cB/w8P1wMfh4Xrgk/BwPfBpeLge+Cw8XA98Hh6uB74ID9cD/wsP1wNfhofrga/Cw/XA1+HheuCb8HA98G14uB74LjxcD3wfHq4HfggP1wM/hofrgZ/Cw/XACH31cD0wYl89XA/8rK8ergdG6quH64GR++rheqDpq4frgbavHq4Hur56uB7o++rheuDnffVwPTBKXz1cD4zaVw/XA6P11cP1wOh99XA9MEZfPVwPjNlXD9cDY/XVw/XA2H31cD0wTl89XA+M21cP1wPj9dXD9cD4ffVwPTBBXz1cD0zYVw/XAxP11cP1wMR99XA9MElfPVwPTNpXD9cNk/XV0wl6YIqBT95Xrgem7KuH64Gp+urhemDqvnq4Hpimrx6uB6btq4frgen66uF6YPq+ergemKGvHq4HZuyrh+uBmfrq4Xpg5r56uB6Ypa8ergdm7auH64HZ+urhemD2vnq4Hpijrx6uB+bsq4frgbn66uF6YO6+ergemKevHq4H5u2rh+uB+frq4Xpg/r56uB5YoK8ergcW7KuH64GF+urhemDhvnq4Hlikrx6uBxbtq4frgcX66uF6YPG+ergeWKKvHq4Hluyrh+uBpfrq4Xpg6b56uB5Ypq8ergeW7auH64HlwsP1wPLh4XpghfBwPbBieLgeWCk8XA+sHB6uB1YJD9cDq4aH64HVwsP1wOrh4XpgjfBwPbBmeLgeWCs8XA+sHR6uB9YJD9cD64aH64H1wsP1wPrh4Xpgg/BwPbBheLge2Cg8XA9sHB6uBzYJD9cDm4aH64HNwsP1wObh4Xpgi/Bw3bBleDpBD2w9/FbB9cA24f0fvEpEVXicXZZVEhAEAAX55BaUNNLdDRKS0ijdndINIkhISIdId0qnICkgIY3UPZhh3v7s+9mZnT3AK1SwwJcVDvuH/eSLhAPU4YuGA9Xhi4WD1OG/CgerwxcPh6jDlwiHqsOXDIepw5cKh6vDlw5HqMOXCUeqw5cNR6nDlwtHq8N/HY5Rhy8fjlWHrxCOU4evGI5Xh68UTlCHrxxOVIevEk5Sh68aTlaHrxb+qA5fPZyiDl8jnKoOXzOcpg5fK5yuDl87nKEOXyecqQ5fN5ylDl8vnK0OXz+cow7fIJyrDt8wnKcO3yicrw7fOFygDt8kXKgO3zRcpA7fLPxJHb55uFgdvkX4szp8y3CJOvw34VJ1+FbhL+rwrcNl6vBtwuXq8G3DFerw34Yr1eHbhb+qw7cPV6nDdwhXq8N3DNeow3cK16rDdw5/U4f/LlynDt8lXK8O3zXcoA7fLdyoDt893KQO3yPcrA7fM9yiDt8r3KoO3zvcpg7/fbhdHf6H8Hd1fcK+4R/hDnn+wE51eP7ALnV4/sBudXj+wB51eP7AXnV4/sA+dXj+wH51eP7AAXV4/sBBdXj+wCF1eP7AYXV4/sARdXj+wFF1eP7AMXV4/sBxdXj+wAl1eP7ASXV4/sApdXj+wJ/q8PyB0+rw/IEz6vD8gbPq8PyBc+rw/IHz6vD8gQvq8PyBi+rw/IFL6vD8gcvq8PyBK+rw/IGr6vD8gWvq8PyBv9Th+QPX1eH5AzfU4fkDf6vD8wduqsPzB26pw/MHbqvD8wfuqMPzB+6qw/MH7qnD8wf+UYfnD9xXh+cPPFCH5w88VIfnD/yrDs8feKQOzx94rA7PH3iiDs8feKoOzx/4Tx2eP/BMHZ4/8Fwdnj/wQh2eP/BSHZ4/8Eodnj/wWh2eP/BGHZ4/8FYdnj/wvzo8f+CdOjx/4L06PH/ggzo8f+CjOjy/4ZO6z6uSGGQ=AQAAAACAAAAQRAAAWQsAAA==eJw126HfOQB0L+B399qdbba599pmm222jyAIgiAIgvAGQRAEQRCENwiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCICy8z++U528453y/ga/fCTLEMCOMMsY4E0wyxTQzzDLHPAv8ZpEllllhlTXW2eAPm2yxzQ677LHPAYccccwJp5xxzgWXXHHNDbfccc8DjzzxzAuvvPHOB5988c0Pv/7ilwCDDDHMCKOMMc4Ek0wxzQyzzDHPAr9ZZIllVlhljXU2+MMmW2yzwy577HPAIUccc8IpZ5xzwSVXXHPDLXfc88AjTzzzwitvvPPBJ19888Ov//VLgEGGGGaEUcYYZ4JJpphmhlnmmGeB3yyyxDIrrLLGOhv8YZMtttlhlz32OeCQI4454ZQzzrngkiuuueGWO+554JEnnnnhlTfe+eCTL7754df//iXAIEMMM8IoY4wzwSRTTDPDLHPMs8BvFllimRVWWWOdDf6wyRbb7LDLHvsccMgRx5xwyhnnXHDJFdfccMsd9zzwyBPPvPDKG+988MkX3/zwKwAGGWKYEUYZY5wJJplimhlmmWOeBX6zyBLLrLDKGuts8IdNtthmh1322OeAQ4445oRTzjjngkuuuOaGW+6454FHnnjmhVfeeOeDT7745odff/lLgEGGGGaEUcYYZ4JJpphmhlnmmGeB3yyyxDIrrLLGOhv8YZMtttlhlz32OeCQI4454ZQzzrngkiuuueGWO+554JEnnnnhlTfe+eCTL7754df/+SXAIEMMM8IoY4wzwSRTTDPDLHPMs8BvFllimRVWWWOdDf6wyRbb7LDLHvsccMgRx5xwyhnnXHDJFdfccMsd9zzwyBPPvPDKG+988MkX3/zw669+CTDIEMOMMMoY40wwyRTTzDDLHPMs8JtFllhmhVXWWGeDP2yyxTY77LLHPgcccsQxJ5xyxjkXXHLFNTfccsc9DzzyxDMvvPLGOx988sU3P/yz8AcYZIhhRhhljHEmmGSKaWaYZY55FvjNIksss8Iqa6yzwR822WKbHXbZY58DDjnimBNOOeOcCy654pobbrnjngceeeKZF155450PPvnim58/h56//iXAIEMMM8IoY4wzwSRTTDPDLHPMs8BvFllimRVWWWOdDf6wyRbb7LDLHvsccMgRx5xwyhnnXHDJFdfccMsd9zzwyBPPvPDKG+988MkX3/zw629+CTDIEMOMMMoY40wwyRTTzDDLHPMs8JtFllhmhVXWWGeDP2yyxTY77LLHPgcccsQxJ5xyxjkXXHLFNTfccsc9DzzyxDMvvPLGOx988sU3P/z6218CDDLEMCOMMsY4E0wyxTQzzDLHPAv8ZpEllllhlTXW2eAPm2yxzQ677LHPAYccccwJp5xxzgWXXHHNDbfccc8DjzzxzAuvvPHOB5988c0P/xz6AwwyxDAjjDLGOBNMMsU0M8wyxzwL/GaRJZZZYZU11tngD5tssc0Ou+yxzwGHHHHMCaeccc4Fl1xxzQ233HHPA4888cwLr7zxzgeffPHNz58Hz9/9EmCQIYYZYZQxxplgkimmmWGWOeZZ4DeLLLHMCqussc4Gf9hki2122GWPfQ445IhjTjjljHMuuOSKa2645Y57HnjkiWdeeOWNdz745Itvfvj1978EGGSIYUYYZYxxJphkimlmmGWOeRb4zSJLLLPCKmuss8EfNtlimx122WOfAw454pgTTjnjnAsuueKaG265454HHnnimRdeeeOdDz754psffv3DLwEGGWKYEUYZY5wJJplimhlmmWOeBX6zyBLLrLDKGuts8IdNtthmh1322OeAQ4445oRTzjjngkuuuOaGW+6454FHnnjmhVfeeOeDT7745od/HvwBBhlimBFGGWOcCSaZYpoZZpljngV+s8gSy6ywyhrrbPCHTbbYZodd9tjngEOOOOaEU84454JLrrjmhlvuuOeBR5545oVX3njng0+++ObnT7Dj//4SYJAhhhlhlDHGmWCSKaaZYZY55lngN4ssscwKq6yxzgZ/2GSLbXbYZY99DjjkiGNOOOWMcy645IprbrjljnseeOSJZ1545Y13Pvjki29++PX/fgkwyBDDjDDKGONMMMkU08wwyxzzLPCbRZZYZoVV1lhngz9sssU2O+yyxz4HHHLEMSeccsY5F1xyxTU33HLHPQ888sQzL7zyxjsffPLFNz/8+v+/BBhkiGFGGGWMcSaYZIppZphljnkW+M0iSyyzwiprrLPBHzbZYpsddtljnwMOOeKYE04545wLLrnimhtuueOeBx554pkXXnnjnQ8++eKbH/4J9gUYZIhhRhhljHEmmGSKaWaYZY55FvjNIksss8Iqa6yzwR822WKbHXbZY58DDjnimBNOOeOcCy654pobbrnjngceeeKZF155450PPvnim58/gc5//CXAIEMMM8IoY4wzwSRTTDPDLHPMs8BvFllimRVWWWOdDf6wyRbb7LDLHvsccMgRx5xwyhnnXHDJFdfccMsd9zzwyBPPvPDKG+988MkX3/zw659+CTDIEMOMMMoY40wwyRTTzDDLHPMs8JtFllhmhVXWWGeDP2yyxTY77LLHPgcccsQxJ5xyxjkXXHLFNTfccsc9DzzyxDMvvPLGOx988sU3P/z6518CDDLEMCOMMsY4E0wyxTQzzDLHPAv8ZpEllllhlTXW2eAPm2yxzQ677LHPAYccccwJp5xxzgWXXHHNDbfccc8DjzzxzAuvvPHOB5988c0P/wT6AwwyxDAjjDLGOBNMMsU0M8wyxzwL/GaRJZZZYZU11tngD5tssc0Ou+yxzwGHHHHMCaeccc4Fl1xxzQ233HHPA4888cwLr7zxzgeffPHNz58ix7/8EmCQIYYZYZQxxplgkimmmWGWOeZZ4DeLLLHMCqussc4Gf9hki2122GWPfQ445IhjTjjljHMuuOSKa2645Y57HnjkiWdeeOWNdz745Itvfvj1r78EGGSIYUYYZYxxJphkimlmmGWOeRb4zSJLLLPCKmuss8EfNtlimx122WOfAw454pgTTjnjnAsuueKaG265454HHnnimRdeeeOdDz754psffv3bLwEGGWKYEUYZY5wJJplimhlmmWOeBX6zyBLLrLDKGuts8IdNtthmh1322OeAQ4445oRTzjjngkuuuOaGW+6454FHnnjmhVfeeOeDT7745od/inwBBhlimBFGGWOcCSaZYpoZZpljngV+s8gSy6ywyhrrbPCHTbbYZodd9tjngEOOOOaEU84454JLrrjmhlvuuOeBR5545oVX3njng0+++ObnT4Hz338JMMgQw4wwyhjjTDDJFNPMMMsc8yzwm0WWWGaFVdZYZ4M/bLLFNjvsssc+BxxyxDEnnHLGORdccsU1N9xyxz0PPPLEMy+88sY7H3zyxTc//PqPXwIMMsQwI4wyxjgTTDLFNDPMMsc8C/xmkSWWWWGVNdbZ4A+bbLHNDrvssc8BhxxxzAmnnHHOBZdccc0Nt9xxzwOPPPHMC6+88c4Hn3zxzQ+//vOXAIMMMcwIo4wxzgSTTDHNDLPMMc8Cv1lkiWVWWGWNdTb4wyZbbLPDLnvsc8AhRxxzwilnnHPBJVdcc8Mtd9zzwCNPPPPCK2+888EnX3zzwz8F/gCDDDHMCKOMMc4Ek0wxzQyzzDHPAr9ZZIllVlhljXU2+MMmW2yzwy577HPAIUccc8IpZ5xzwSVXXHPDLXfc88AjTzzzwitvvPPBJ19888Ov//olwCBDDDPCKGOMM8EkU0wzwyxzzLPAbxZZYpkVVlljnQ3+sMkW2+ywyx77HHDIEceccMoZ51xwyRXX3HDLHfc88MgTz7zwyhvvfPDJF9/88Ou/fwkwyP8B5W677w==AQAAAACAAACCCAAAGQAAAA==eJzj5BwFo2AUjIJRMApGwSigNwAA+uhMkw==
26
+ </AppendedData>
27
+ </VTKFile>
CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/Lambda/Lambda_1_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/Lambda/Lambda_2_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/Lambda/Lambda_300000.pvtu ADDED
@@ -0,0 +1,33 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="PUnstructuredGrid" version="0.1"
3
+ byte_order="LittleEndian"
4
+ compressor="vtkZLibDataCompressor">
5
+ <PUnstructuredGrid GhostLevel="0">
6
+ <PCellData>
7
+ <PDataArray type="Float64" Name="id"/>
8
+ <PDataArray type="Float64" Name="xc"/>
9
+ <PDataArray type="Float64" Name="yc"/>
10
+ <PDataArray type="Float64" Name="c_6[1]"/>
11
+ <PDataArray type="Float64" Name="c_6[2]"/>
12
+ </PCellData>
13
+ <PPoints>
14
+ <PDataArray type="Float32" Name="Points" NumberOfComponents="3"/>
15
+ </PPoints>
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+ <Piece Source="Lambda_0_300000.vtu"/>
17
+ <Piece Source="Lambda_1_300000.vtu"/>
18
+ <Piece Source="Lambda_2_300000.vtu"/>
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+ <Piece Source="Lambda_3_300000.vtu"/>
20
+ <Piece Source="Lambda_4_300000.vtu"/>
21
+ <Piece Source="Lambda_5_300000.vtu"/>
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+ <Piece Source="Lambda_6_300000.vtu"/>
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+ <Piece Source="Lambda_7_300000.vtu"/>
24
+ <Piece Source="Lambda_8_300000.vtu"/>
25
+ <Piece Source="Lambda_9_300000.vtu"/>
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+ <Piece Source="Lambda_10_300000.vtu"/>
27
+ <Piece Source="Lambda_11_300000.vtu"/>
28
+ <Piece Source="Lambda_12_300000.vtu"/>
29
+ <Piece Source="Lambda_13_300000.vtu"/>
30
+ <Piece Source="Lambda_14_300000.vtu"/>
31
+ <Piece Source="Lambda_15_300000.vtu"/>
32
+ </PUnstructuredGrid>
33
+ </VTKFile>
CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/Lambda/Lambda_3_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/Lambda/Lambda_4_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/Lambda/Lambda_5_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/Lambda/Lambda_6_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/Lambda/Lambda_7_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/Lambda/Lambda_8_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/Lambda/Lambda_9_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/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/Kn0p12/simulation0184_Kn0p12Ma5p3/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 0.12
13
+ variable Ma equal 5.300000000000001
14
+ variable To equal 273.0
15
+ variable Tb equal 273.0
16
+ variable theta equal 0.0
17
+ variable mfp equal ${Kn}*${L}
18
+ variable cpmfp equal 4
19
+ variable nden equal 1.0/sqrt(2.0)/${PI}/${molecular_diameter}/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
20
+ variable sos equal sqrt(${gamma}*${R}*${To})
21
+ variable vo equal ${Ma}*${sos}
22
+ variable vx equal ${vo}*cos(${theta}*2*PI/360)
23
+ variable vy equal ${vo}*sin(${theta}*2*PI/360)
24
+ variable ppc equal 30
25
+ variable xncells equal (${xmax}-${xmin})/${mfp}*${cpmfp}
26
+ variable yncells equal (${ymax}-${ymin})/${mfp}*${cpmfp}
27
+ variable Fnum equal ${nden}*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
28
+ variable tstep equal (-${xmin}+${xmax})/${vx}/${xncells}/10/4
29
+ variable nave equal 10000
30
+ variable noutput equal 300000
31
+ clear
32
+ shell mkdir output
33
+ shell mkdir grid
34
+ shell mkdir surf
35
+ seed 7
36
+ dimension 2
37
+ global nrho ${nden}
38
+ global fnum ${Fnum}
39
+ timestep ${tstep}
40
+ global gridcut 1.0 particle/reorder 100 comm/sort yes
41
+ region 1 cylinder z 0.0 0.0 3.50 -0.5 0.5
42
+ region 2 cylinder z 0.0 0.0 2.00 -0.5 0.5
43
+ region 3 cylinder z 0.0 0.0 0.80 -0.5 0.5
44
+ boundary o o p
45
+ create_box ${xmin} ${xmax} ${ymin} ${ymax} -0.5 0.5
46
+ create_grid ${xncells} ${yncells} 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
47
+ balance_grid rcb cell
48
+ species gas.species Ar
49
+ mixture air Ar frac 1.0
50
+ mixture air Ar vstream ${vx} ${vy} 0.0 temp ${To}
51
+ collide vss air gas.vhs
52
+ collide_modify vremax 100 yes remain no nearcp yes 10
53
+ read_surf cylinder.surf
54
+ surf_collide 1 diffuse 273.0 1.0
55
+ surf_modify all collide 1
56
+ fix in emit/face air xlo ylo yhi
57
+ balance_grid rcb cell
58
+ create_particles air n 0
59
+ stats 10000
60
+ stats_style step cpu np nattempt ncoll nscoll npave nscollave
61
+ run 200000
62
+ compute 1 grid all air n nrho massrho u v w
63
+ compute 2 grid all air trot
64
+ compute 3 tvib/grid all air
65
+ compute 4 thermal/grid all air press temp
66
+ fix 1 ave/grid all 1 ${nave} ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
67
+ dump 1 grid all ${noutput} output/grid.*.dat id xc yc f_1[*]
68
+ dump_modify 1 format float %12.5g
69
+ compute 5 surf all air n press px py shx shy fx fy etot erot evib
70
+ fix 2 ave/surf all 1 ${nave} ${nave} c_5[*] ave running
71
+ dump 2 surf all ${noutput} output/surf.*.dat id v1x v1y v2x v2y f_2[*]
72
+ dump_modify 2 format float %12.5g
73
+ compute 6 lambda/grid f_1[2] f_1[8] Ar kx
74
+ dump 3 grid all ${noutput} output/lambdakn.*.dat id xc yc c_6[*]
75
+ dump_modify 3 format float %12.5g
76
+ run 100000
77
+ write_grid grid/final-grid.dat
78
+ write_surf surf/geom.surf
CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/cylinder.surf ADDED
@@ -0,0 +1,410 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ surf file from Pointwise
2
+
3
+ 200 points
4
+ 200 lines
5
+
6
+ Points
7
+
8
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CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/gas.species ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Species data
2
+
3
+ # species name
4
+ # molecular weight (atomic mass units, e.g. 16 for oxygen)
5
+ # molecular mass (kg)
6
+ # rotational degrees of freedom (integer, unitless)
7
+ # inverse rotational relaxtion number (unitless)
8
+ # vibrational degrees of freedom (integer, unitless)
9
+ # inverse vibrational relaxation number (unitless)
10
+ # vibrational temperature (K)
11
+ # species weight (unitless)
12
+ # multiple of electon charge (1 for a proton)
13
+
14
+ Ar 39.95 6.63E-26 0 0.0 0 0.0 0.0 1.0 0.0
CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/gas.vhs ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ # VHS collision model parameters for each species
2
+
3
+ # species name
4
+ # diameter (m)
5
+ # omega (unitless)
6
+ # tref (referenced temperature)
7
+ # alpha (unitless)
8
+
9
+ Ar 4.17e-10 0.81 273 1.0
CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/grid/Grid_0_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/grid/Grid_10_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/grid/Grid_11_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/grid/Grid_12_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/grid/Grid_13_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/grid/Grid_14_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/grid/Grid_15_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/grid/Grid_1_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/grid/Grid_2_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/grid/Grid_300000.pvtu ADDED
@@ -0,0 +1,41 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="PUnstructuredGrid" version="0.1"
3
+ byte_order="LittleEndian"
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+ compressor="vtkZLibDataCompressor">
5
+ <PUnstructuredGrid GhostLevel="0">
6
+ <PCellData>
7
+ <PDataArray type="Float64" Name="id"/>
8
+ <PDataArray type="Float64" Name="xc"/>
9
+ <PDataArray type="Float64" Name="yc"/>
10
+ <PDataArray type="Float64" Name="f_1[1]"/>
11
+ <PDataArray type="Float64" Name="f_1[2]"/>
12
+ <PDataArray type="Float64" Name="f_1[3]"/>
13
+ <PDataArray type="Float64" Name="f_1[4]"/>
14
+ <PDataArray type="Float64" Name="f_1[5]"/>
15
+ <PDataArray type="Float64" Name="f_1[6]"/>
16
+ <PDataArray type="Float64" Name="f_1[7]"/>
17
+ <PDataArray type="Float64" Name="f_1[8]"/>
18
+ <PDataArray type="Float64" Name="f_1[9]"/>
19
+ <PDataArray type="Float64" Name="f_1[10]"/>
20
+ </PCellData>
21
+ <PPoints>
22
+ <PDataArray type="Float32" Name="Points" NumberOfComponents="3"/>
23
+ </PPoints>
24
+ <Piece Source="Grid_0_300000.vtu"/>
25
+ <Piece Source="Grid_1_300000.vtu"/>
26
+ <Piece Source="Grid_2_300000.vtu"/>
27
+ <Piece Source="Grid_3_300000.vtu"/>
28
+ <Piece Source="Grid_4_300000.vtu"/>
29
+ <Piece Source="Grid_5_300000.vtu"/>
30
+ <Piece Source="Grid_6_300000.vtu"/>
31
+ <Piece Source="Grid_7_300000.vtu"/>
32
+ <Piece Source="Grid_8_300000.vtu"/>
33
+ <Piece Source="Grid_9_300000.vtu"/>
34
+ <Piece Source="Grid_10_300000.vtu"/>
35
+ <Piece Source="Grid_11_300000.vtu"/>
36
+ <Piece Source="Grid_12_300000.vtu"/>
37
+ <Piece Source="Grid_13_300000.vtu"/>
38
+ <Piece Source="Grid_14_300000.vtu"/>
39
+ <Piece Source="Grid_15_300000.vtu"/>
40
+ </PUnstructuredGrid>
41
+ </VTKFile>
CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/grid/Grid_3_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/grid/Grid_4_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/grid/Grid_6_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/grid/Grid_7_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/grid/Grid_8_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/grid/Grid_9_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/grid/final-grid.dat ADDED
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CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/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 0.12
17
+ variable Ma equal 5.300000000000001
18
+ variable To equal 273.0
19
+ variable Tb equal 273.0
20
+ variable theta equal 0.0
21
+ variable mfp equal ${Kn}*${L}
22
+ variable mfp equal 0.12*${L}
23
+ variable mfp equal 0.12*1
24
+ variable cpmfp equal 4
25
+ variable nden equal 1.0/sqrt(2.0)/${PI}/${molecular_diameter}/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
26
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/${molecular_diameter}/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
27
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
28
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(${mfp}/${cpmfp}*${Kn})
29
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.12/${cpmfp}*${Kn})
30
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.12/4*${Kn})
31
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.12/4*0.12)
32
+ variable sos equal sqrt(${gamma}*${R}*${To})
33
+ variable sos equal sqrt(1.666666667*${R}*${To})
34
+ variable sos equal sqrt(1.666666667*208.242684766214*${To})
35
+ variable sos equal sqrt(1.666666667*208.242684766214*273)
36
+ variable vo equal ${Ma}*${sos}
37
+ variable vo equal 5.3*${sos}
38
+ variable vo equal 5.3*307.815564238681
39
+ variable vx equal ${vo}*cos(${theta}*2*PI/360)
40
+ variable vx equal 1631.42249046501*cos(${theta}*2*PI/360)
41
+ variable vx equal 1631.42249046501*cos(0*2*PI/360)
42
+ variable vy equal ${vo}*sin(${theta}*2*PI/360)
43
+ variable vy equal 1631.42249046501*sin(${theta}*2*PI/360)
44
+ variable vy equal 1631.42249046501*sin(0*2*PI/360)
45
+ variable ppc equal 30
46
+ variable xncells equal (${xmax}-${xmin})/${mfp}*${cpmfp}
47
+ variable xncells equal (6-${xmin})/${mfp}*${cpmfp}
48
+ variable xncells equal (6--5)/${mfp}*${cpmfp}
49
+ variable xncells equal (6--5)/0.12*${cpmfp}
50
+ variable xncells equal (6--5)/0.12*4
51
+ variable yncells equal (${ymax}-${ymin})/${mfp}*${cpmfp}
52
+ variable yncells equal (5-${ymin})/${mfp}*${cpmfp}
53
+ variable yncells equal (5--5)/${mfp}*${cpmfp}
54
+ variable yncells equal (5--5)/0.12*${cpmfp}
55
+ variable yncells equal (5--5)/0.12*4
56
+ variable Fnum equal ${nden}*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
57
+ variable Fnum equal 3.59551014725462e+20*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
58
+ variable Fnum equal 3.59551014725462e+20*(6-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
59
+ variable Fnum equal 3.59551014725462e+20*(6--5)*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
60
+ variable Fnum equal 3.59551014725462e+20*(6--5)*(5-${ymin})/${ppc}/${xncells}/${yncells}
61
+ variable Fnum equal 3.59551014725462e+20*(6--5)*(5--5)/${ppc}/${xncells}/${yncells}
62
+ variable Fnum equal 3.59551014725462e+20*(6--5)*(5--5)/30/${xncells}/${yncells}
63
+ variable Fnum equal 3.59551014725462e+20*(6--5)*(5--5)/30/366.666666666667/${yncells}
64
+ variable Fnum equal 3.59551014725462e+20*(6--5)*(5--5)/30/366.666666666667/333.333333333333
65
+ variable tstep equal (-${xmin}+${xmax})/${vx}/${xncells}/10/4
66
+ variable tstep equal (--5+${xmax})/${vx}/${xncells}/10/4
67
+ variable tstep equal (--5+6)/${vx}/${xncells}/10/4
68
+ variable tstep equal (--5+6)/1631.42249046501/${xncells}/10/4
69
+ variable tstep equal (--5+6)/1631.42249046501/366.666666666667/10/4
70
+ variable nave equal 10000
71
+ variable noutput equal 300000
72
+ clear
73
+ Running on 128 MPI task(s)
74
+ shell mkdir output
75
+ shell mkdir grid
76
+ shell mkdir surf
77
+ seed 7
78
+ dimension 2
79
+ global nrho ${nden}
80
+ global nrho 3.59551014725462e+20
81
+ global fnum ${Fnum}
82
+ global fnum 1.07865304417639e+16
83
+ timestep ${tstep}
84
+ timestep 4.59721503401749e-07
85
+ global gridcut 1.0 particle/reorder 100 comm/sort yes
86
+ region 1 cylinder z 0.0 0.0 3.50 -0.5 0.5
87
+ region 2 cylinder z 0.0 0.0 2.00 -0.5 0.5
88
+ region 3 cylinder z 0.0 0.0 0.80 -0.5 0.5
89
+ boundary o o p
90
+ create_box ${xmin} ${xmax} ${ymin} ${ymax} -0.5 0.5
91
+ create_box -5 ${xmax} ${ymin} ${ymax} -0.5 0.5
92
+ create_box -5 6 ${ymin} ${ymax} -0.5 0.5
93
+ create_box -5 6 -5 ${ymax} -0.5 0.5
94
+ create_box -5 6 -5 5 -0.5 0.5
95
+ Created orthogonal box = (-5 -5 -0.5) to (6 5 0.5)
96
+ create_grid ${xncells} ${yncells} 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
97
+ create_grid 366.666666666667 ${yncells} 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
98
+ create_grid 366.666666666667 333.333333333333 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
99
+ Created 528090 child grid cells
100
+ CPU time = 0.444259 secs
101
+ create/ghost percent = 0.659372 99.3406
102
+ balance_grid rcb cell
103
+ Balance grid migrated 527129 cells
104
+ CPU time = 0.334304 secs
105
+ reassign/sort/migrate/ghost percent = 20.8741 0.0410793 8.02166 71.0632
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 1631.42249046501 ${vy} 0.0 temp ${To}
110
+ mixture air Ar vstream 1631.42249046501 0 0.0 temp ${To}
111
+ mixture air Ar vstream 1631.42249046501 0 0.0 temp 273
112
+ collide vss air gas.vhs
113
+ collide_modify vremax 100 yes remain no nearcp yes 10
114
+ read_surf cylinder.surf
115
+ 200 lines
116
+ -0.5 0.5 xlo xhi
117
+ -0.5 0.5 ylo yhi
118
+ 0 0 zlo zhi
119
+ 0.0157073 min line length
120
+ 1068 0 = cells overlapping surfs, overlap cells with unmarked corner pts
121
+ 471864 55158 1068 = cells outside/inside/overlapping surfs
122
+ 1068 = surf cells with 1,2,etc splits
123
+ 109.215 109.215 = cell-wise and global flow volume
124
+ CPU time = 0.384736 secs
125
+ read/check/sort/surf2grid/ghost/inout/particle percent = 8.81815 9.02611 0.910547 15.9776 65.2676 1.86643 0.0511206
126
+ surf2grid time = 0.0614716 secs
127
+ map/comm1/comm2/comm3/comm4/split percent = 25.5617 17.9367 16.2856 5.79366 4.81198 2.74122
128
+ surf_collide 1 diffuse 273.0 1.0
129
+ surf_modify all collide 1
130
+ fix in emit/face air xlo ylo yhi
131
+ balance_grid rcb cell
132
+ Balance grid migrated 4498 cells
133
+ CPU time = 0.256886 secs
134
+ reassign/sort/migrate/ghost percent = 2.78985 0.0294835 3.40454 93.7761
135
+ create_particles air n 0
136
+ WARNING: Created unexpected # of particles: 3640487 versus 3640491 (../create_particles.cpp:346)
137
+ Created 3640487 particles
138
+ CPU time = 0.0568865 secs
139
+ stats 10000
140
+ stats_style step cpu np nattempt ncoll nscoll npave nscollave
141
+ run 200000
142
+ Memory usage per proc in Mbytes:
143
+ particles (ave,min,max) = 3.82324 0 13.5
144
+ grid (ave,min,max) = 18.2252 2.45129 34.8263
145
+ surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
146
+ total (ave,min,max) = 22.0691 9.59689 43.2844
147
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
148
+ 0 0 3640487 0 0 0 0 0
149
+ 10000 115.46443 3690656 138778 117898 49 3646194.3 47.7221
150
+ 20000 299.75605 3958279 160554 138659 55 3747478 48.4067
151
+ 30000 533.00155 4015395 165174 142822 56 3830012.8 48.807267
152
+ 40000 773.99216 4026375 166047 143641 54 3877951.6 48.982625
153
+ 50000 1015.7735 4027859 166093 143998 52 3907985.8 49.1008
154
+ 60000 1257.715 4027560 165371 143139 40 3927918.1 49.218383
155
+ 70000 1499.5211 4028980 165564 143339 50 3942256.4 49.289329
156
+ 80000 1741.9636 4027067 165431 143265 59 3952936.7 49.344738
157
+ 90000 1983.6515 4029884 165999 143753 46 3961296.7 49.398622
158
+ 100000 2226.0033 4028983 165764 143220 64 3968158.8 49.43093
159
+ 110000 2468.285 4030348 166342 144237 37 3973810.8 49.4655
160
+ 120000 2711.5881 4031706 165879 143709 47 3978625.7 49.499042
161
+ 130000 2954.0916 4028179 165877 143712 61 3982577.5 49.512077
162
+ 140000 3196.2552 4028806 165725 143471 45 3985794 49.520093
163
+ 150000 3438.7413 4028673 165983 143605 46 3988699.3 49.535553
164
+ 160000 3680.589 4028150 165671 143405 57 3991184 49.535962
165
+ 170000 3922.3117 4028035 165795 143582 58 3993425.3 49.552318
166
+ 180000 4164.2307 4027750 166144 143827 38 3995362.2 49.563617
167
+ 190000 4405.8425 4028869 166154 144037 63 3997137.3 49.575542
168
+ 200000 4647.9939 4027893 165486 143239 50 3998742.5 49.57533
169
+ Loop time of 4648 on 128 procs for 200000 steps with 4027893 particles
170
+
171
+ MPI task timing breakdown:
172
+ Section | min time | avg time | max time |%varavg| %total
173
+ ---------------------------------------------------------------
174
+ Move | 0.03843 | 142.28 | 828.88 |1382.1 | 3.06
175
+ Coll | 2.6596 | 279 | 2996.1 |2849.9 | 6.00
176
+ Sort | 1.3671 | 99.395 | 515.78 |1238.2 | 2.14
177
+ Comm | 151.7 | 190.23 | 208.43 | 91.5 | 4.09
178
+ Modify | 0.034823 | 0.75737 | 12.487 | 206.9 | 0.02
179
+ Output | 0.0098718 | 0.26853 | 0.30171 | 9.7 | 0.01
180
+ Other | | 3936 | | | 84.68
181
+
182
+ Particle moves = 799748503389 (800B)
183
+ Cells touched = 835692411407 (836B)
184
+ Particle comms = 565028384 (565M)
185
+ Boundary collides = 0 (0K)
186
+ Boundary exits = 56019820 (56M)
187
+ SurfColl checks = 500011201 (500M)
188
+ SurfColl occurs = 9915066 (9.92M)
189
+ Surf reactions = 0 (0K)
190
+ Collide attempts = 39758722367 (39.8B)
191
+ Collide occurs = 30014369648 (30B)
192
+ Reactions = 0 (0K)
193
+ Particles stuck = 0
194
+ Axisymm bad moves = 0
195
+
196
+ Particle-moves/CPUsec/proc: 1.34424e+06
197
+ Particle-moves/step: 3.99874e+06
198
+ Cell-touches/particle/step: 1.04494
199
+ Particle comm iterations/step: 1
200
+ Particle fraction communicated: 0.000706508
201
+ Particle fraction colliding with boundary: 0
202
+ Particle fraction exiting boundary: 7.00468e-05
203
+ Surface-checks/particle/step: 0.000625211
204
+ Surface-collisions/particle/step: 1.23977e-05
205
+ Surf-reactions/particle/step: 0
206
+ Collision-attempts/particle/step: 0.049714
207
+ Collisions/particle/step: 0.0375298
208
+ Reactions/particle/step: 0
209
+
210
+ Particles: 31467.9 ave 222048 max 0 min
211
+ Histogram: 86 14 4 12 2 6 0 0 2 2
212
+ Cells: 4125.7 ave 4126 max 4125 min
213
+ Histogram: 38 0 0 0 0 0 0 0 0 90
214
+ GhostCell: 105920 ave 194636 max 5730 min
215
+ Histogram: 24 7 11 10 18 2 6 4 16 30
216
+ EmptyCell: 0 ave 0 max 0 min
217
+ Histogram: 128 0 0 0 0 0 0 0 0 0
218
+ Surfs: 200 ave 200 max 200 min
219
+ Histogram: 128 0 0 0 0 0 0 0 0 0
220
+ GhostSurf: 0 ave 0 max 0 min
221
+ Histogram: 128 0 0 0 0 0 0 0 0 0
222
+ compute 1 grid all air n nrho massrho u v w
223
+ compute 2 grid all air trot
224
+ compute 3 tvib/grid all air
225
+ compute 4 thermal/grid all air press temp
226
+ fix 1 ave/grid all 1 ${nave} ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
227
+ fix 1 ave/grid all 1 10000 ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
228
+ fix 1 ave/grid all 1 10000 10000 c_1[*] c_4[*] c_2[*] c_3[*] ave running
229
+ dump 1 grid all ${noutput} output/grid.*.dat id xc yc f_1[*]
230
+ dump 1 grid all 300000 output/grid.*.dat id xc yc f_1[*]
231
+ dump_modify 1 format float %12.5g
232
+ compute 5 surf all air n press px py shx shy fx fy etot erot evib
233
+ fix 2 ave/surf all 1 ${nave} ${nave} c_5[*] ave running
234
+ fix 2 ave/surf all 1 10000 ${nave} c_5[*] ave running
235
+ fix 2 ave/surf all 1 10000 10000 c_5[*] ave running
236
+ dump 2 surf all ${noutput} output/surf.*.dat id v1x v1y v2x v2y f_2[*]
237
+ dump 2 surf all 300000 output/surf.*.dat id v1x v1y v2x v2y f_2[*]
238
+ dump_modify 2 format float %12.5g
239
+ compute 6 lambda/grid f_1[2] f_1[8] Ar kx
240
+ dump 3 grid all ${noutput} output/lambdakn.*.dat id xc yc c_6[*]
241
+ dump 3 grid all 300000 output/lambdakn.*.dat id xc yc c_6[*]
242
+ dump_modify 3 format float %12.5g
243
+ run 100000
244
+ Memory usage per proc in Mbytes:
245
+ particles (ave,min,max) = 4.42969 0 23.625
246
+ grid (ave,min,max) = 18.2252 2.45129 34.8263
247
+ surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
248
+ total (ave,min,max) = 24.0607 10.982 44.6695
249
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
250
+ 200000 0 4027893 165486 143239 0 0 0
251
+ 210000 377.59822 4027907 165577 143242 54 4029032 49.9029
252
+ 220000 757.03878 4028738 165906 143678 42 4029035.9 49.86575
253
+ 230000 1134.9737 4027577 165722 143496 53 4028617.2 49.8418
254
+ 240000 1514.4136 4029977 165711 143517 52 4028590.4 49.804075
255
+ 250000 1893.3342 4031216 166041 143683 67 4028942.9 49.78824
256
+ 260000 2271.8712 4028478 165557 143089 42 4029255.1 49.796483
257
+ 270000 2650.8623 4029083 165677 143217 58 4029255.7 49.789643
258
+ 280000 3028.946 4028837 165460 143346 45 4029411.1 49.800537
259
+ 290000 3407.9883 4028366 165839 143586 37 4029365.6 49.801689
260
+ 300000 3786.8527 4030452 165961 143592 37 4029309.1 49.80364
261
+ Loop time of 3786.85 on 128 procs for 100000 steps with 4030452 particles
262
+
263
+ MPI task timing breakdown:
264
+ Section | min time | avg time | max time |%varavg| %total
265
+ ---------------------------------------------------------------
266
+ Move | 0.040004 | 72.703 | 429.66 | 963.2 | 1.92
267
+ Coll | 1.4516 | 153.94 | 1810.3 |2156.9 | 4.07
268
+ Sort | 5.5869 | 61.107 | 297 | 875.1 | 1.61
269
+ Comm | 90.138 | 113.45 | 123.67 | 67.4 | 3.00
270
+ Modify | 32.318 | 196.22 | 1080.3 |1615.6 | 5.18
271
+ Output | 0.75774 | 0.75918 | 0.76384 | 0.1 | 0.02
272
+ Other | | 3189 | | | 84.20
273
+
274
+ Particle moves = 402930911981 (403B)
275
+ Cells touched = 421003652936 (421B)
276
+ Particle comms = 283890288 (284M)
277
+ Boundary collides = 0 (0K)
278
+ Boundary exits = 28203821 (28.2M)
279
+ SurfColl checks = 251967341 (252M)
280
+ SurfColl occurs = 4980364 (4.98M)
281
+ Surf reactions = 0 (0K)
282
+ Collide attempts = 20330382504 (20.3B)
283
+ Collide occurs = 15336546976 (15.3B)
284
+ Reactions = 0 (0K)
285
+ Particles stuck = 0
286
+ Axisymm bad moves = 0
287
+
288
+ Particle-moves/CPUsec/proc: 831270
289
+ Particle-moves/step: 4.02931e+06
290
+ Cell-touches/particle/step: 1.04485
291
+ Particle comm iterations/step: 1
292
+ Particle fraction communicated: 0.000704563
293
+ Particle fraction colliding with boundary: 0
294
+ Particle fraction exiting boundary: 6.99967e-05
295
+ Surface-checks/particle/step: 0.000625336
296
+ Surface-collisions/particle/step: 1.23603e-05
297
+ Surf-reactions/particle/step: 0
298
+ Collision-attempts/particle/step: 0.0504562
299
+ Collisions/particle/step: 0.0380625
300
+ Reactions/particle/step: 0
301
+
302
+ Particles: 31487.9 ave 221894 max 0 min
303
+ Histogram: 86 14 4 12 2 6 0 0 2 2
304
+ Cells: 4125.7 ave 4126 max 4125 min
305
+ Histogram: 38 0 0 0 0 0 0 0 0 90
306
+ GhostCell: 105920 ave 194636 max 5730 min
307
+ Histogram: 24 7 11 10 18 2 6 4 16 30
308
+ EmptyCell: 0 ave 0 max 0 min
309
+ Histogram: 128 0 0 0 0 0 0 0 0 0
310
+ Surfs: 200 ave 200 max 200 min
311
+ Histogram: 128 0 0 0 0 0 0 0 0 0
312
+ GhostSurf: 0 ave 0 max 0 min
313
+ Histogram: 128 0 0 0 0 0 0 0 0 0
314
+ write_grid grid/final-grid.dat
315
+ grid cells = 528090
316
+ CPU time = 0.07034 secs
317
+ write_surf surf/geom.surf
318
+ surf elements = 200
319
+ CPU time = 0.00341406 secs
CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/mir.txt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ dimension 2
2
+ create_box -5.0 6.0 -5.0 5.0 -0.5 0.5
3
+ read_grid grid/final-grid.dat
CylinderKnMa/Kn0p12/simulation0184_Kn0p12Ma5p3/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 0.01924 1.2723 -1.2721 0.019984 -0.00020409 -0.012992 -0.019985 0.00010984 99.323 0 0
11
+ 129 -0.31871 0.38526 -0.30645 0.39508 0.39766 27.036 16.904 -21.1 2.3858 1.9114 0.30299 -0.3014 3311.4 0 0
12
+ 2 0.49975 -0.015705 0.49901 -0.031395 0.01839 1.2088 -1.2075 0.056943 0.00078387 0.016622 -0.018954 0.0011555 93.074 0 0
13
+ 130 -0.30645 0.39508 -0.29389 0.40451 0.3767 25.479 15.298 -20.375 2.3864 1.7917 0.27778 -0.2919 3076.8 0 0
14
+ 3 0.49901 -0.031395 0.49778 -0.047054 0.01914 1.2554 -1.2515 0.098497 -0.0011041 -0.014028 -0.019676 0.0013268 98.636 0 0
15
+ 131 -0.29389 0.40451 -0.28104 0.41354 0.35651 24.264 13.952 -19.851 2.2997 1.6163 0.25527 -0.28642 2976.7 0 0
16
+ 4 0.49778 -0.047054 0.49606 -0.062667 0.01861 1.2204 -1.213 0.13392 -0.0058341 -0.052844 -0.019144 0.0012734 101.56 0 0
17
+ 132 -0.28104 0.41354 -0.26791 0.42216 0.33424 22.638 12.429 -18.921 2.4487 1.6085 0.23369 -0.27194 2771.8 0 0
18
+ 5 0.49606 -0.062667 0.49384 -0.078217 0.01808 1.1866 -1.1748 0.1672 -0.0057489 -0.040394 -0.018543 0.0019917 94.611 0 0
19
+ 133 -0.26791 0.42216 -0.25452 0.43037 0.31627 21.457 11.211 -18.295 2.3535 1.4422 0.21307 -0.26472 2683 0 0
20
+ 6 0.49384 -0.078217 0.49114 -0.093691 0.01813 1.1892 -1.1715 0.20446 -0.0080221 -0.045965 -0.018527 0.0024895 93.29 0 0
21
+ 134 -0.25452 0.43037 -0.24088 0.43815 0.29714 20.191 10.004 -17.539 2.3903 1.3634 0.19468 -0.25407 2546.2 0 0
22
+ 7 0.49114 -0.093691 0.48796 -0.10907 0.01795 1.1583 -1.1342 0.23488 -0.0055369 -0.026737 -0.017902 0.0032694 92.666 0 0
23
+ 135 -0.24088 0.43815 -0.227 0.4455 0.27997 18.927 8.8566 -16.727 2.2709 1.2024 0.17478 -0.24385 2349.4 0 0
24
+ 8 0.48796 -0.10907 0.48429 -0.12434 0.01751 1.1389 -1.1074 0.26587 -0.0088693 -0.036943 -0.017534 0.0035958 81.063 0 0
25
+ 136 -0.227 0.4455 -0.21289 0.45241 0.26396 17.901 7.8755 -16.076 2.2473 1.101 0.159 -0.23522 2249.4 0 0
26
+ 9 0.48429 -0.12434 0.48015 -0.1395 0.01707 1.1173 -1.0777 0.29483 -0.014456 -0.052841 -0.017155 0.003801 92.206 0 0
27
+ 137 -0.21289 0.45241 -0.19857 0.45888 0.24524 16.718 6.8795 -15.236 2.3262 1.0503 0.1446 -0.22283 2097.3 0 0
28
+ 10 0.48015 -0.1395 0.47553 -0.15451 0.01677 1.0683 -1.0211 0.31414 -0.0018083 -0.005878 -0.016067 0.0048419 78.695 0 0
29
+ 138 -0.19857 0.45888 -0.18406 0.46489 0.22944 15.521 5.9397 -14.34 2.128 0.88143 0.12672 -0.21139 1899.3 0 0
30
+ 11 0.47553 -0.15451 0.47044 -0.16937 0.01616 1.0541 -0.99728 0.34145 -0.019509 -0.05698 -0.015971 0.0044682 83.354 0 0
31
+ 139 -0.18406 0.46489 -0.16937 0.47044 0.21211 14.464 5.1127 -13.53 2.2268 0.84142 0.11528 -0.19931 1849.3 0 0
32
+ 12 0.47044 -0.16937 0.46489 -0.18406 0.01526 0.99608 -0.93178 0.35209 -0.0082529 -0.021841 -0.014765 0.0051873 77.04 0 0
33
+ 140 -0.16937 0.47044 -0.15451 0.47553 0.19944 13.519 4.379 -12.79 2.0542 0.70332 0.10105 -0.18985 1748.4 0 0
34
+ 13 0.46489 -0.18406 0.45888 -0.19857 0.01462 0.96303 -0.88972 0.36853 -0.010809 -0.026095 -0.014145 0.0053788 84.824 0 0
35
+ 141 -0.15451 0.47553 -0.1395 0.48015 0.18455 12.558 3.6925 -12.003 2.0653 0.63536 0.090439 -0.17855 1689.2 0 0
36
+ 14 0.45888 -0.19857 0.45241 -0.21289 0.01362 0.89392 -0.81472 0.36786 -0.00090493 -0.0020042 -0.012811 0.0057466 77.69 0 0
37
+ 142 -0.1395 0.48015 -0.12434 0.48429 0.17215 11.712 3.0905 -11.297 2.0261 0.55429 0.080369 -0.16874 1531.8 0 0
38
+ 15 0.45241 -0.21289 0.4455 -0.227 0.01302 0.84476 -0.75862 0.37164 0.011429 0.02333 -0.011736 0.006204 82.587 0 0
39
+ 143 -0.12434 0.48429 -0.10907 0.48796 0.15667 10.675 2.492 -10.38 1.9321 0.46387 0.069491 -0.15575 1394.7 0 0
40
+ 16 0.4455 -0.227 0.43815 -0.24088 0.01265 0.82982 -0.73337 0.3883 0.0035667 0.0067364 -0.011463 0.0062049 78.223 0 0
41
+ 144 -0.10907 0.48796 -0.093691 0.49114 0.14846 10.097 2.0476 -9.8874 1.878 0.38891 0.06166 -0.1492 1315.7 0 0
42
+ 17 0.43815 -0.24088 0.43037 -0.25452 0.01175 0.76755 -0.66671 0.38029 0.02791 0.048932 -0.010034 0.0067419 80.016 0 0
43
+ 145 -0.093691 0.49114 -0.078217 0.49384 0.13564 9.2333 1.5875 -9.0958 1.8448 0.32198 0.053913 -0.13781 1265 0 0
44
+ 18 0.43037 -0.25452 0.42216 -0.26791 0.01121 0.71043 -0.60574 0.3712 0.032086 0.05236 -0.0090106 0.006653 78.289 0 0
45
+ 146 -0.078217 0.49384 -0.062667 0.49606 0.12508 8.5741 1.2081 -8.4886 1.676 0.23853 0.045301 -0.12959 1168.7 0 0
46
+ 19 0.42216 -0.26791 0.41354 -0.28104 0.00967 0.61177 -0.51132 0.33588 0.035745 0.054417 -0.00747 0.0061305 69.672 0 0
47
+ 147 -0.062667 0.49606 -0.047054 0.49778 0.11481 7.8387 0.86017 -7.7913 1.6268 0.1796 0.039064 -0.11956 1067 0 0
48
+ 20 0.41354 -0.28104 0.40451 -0.29389 0.00905 0.60373 -0.49394 0.34715 0.060636 0.086276 -0.006806 0.0068079 79.348 0 0
49
+ 148 -0.047054 0.49778 -0.031395 0.49901 0.10833 7.3366 0.57562 -7.314 1.5806 0.1244 0.033868 -0.11293 992.25 0 0
50
+ 21 0.40451 -0.29389 0.39508 -0.30645 0.00859 0.55696 -0.44539 0.33441 0.070407 0.093774 -0.00589 0.0067256 78.205 0 0
51
+ 149 -0.031395 0.49901 -0.015705 0.49975 0.09782 6.6762 0.31449 -6.6688 1.5417 0.072704 0.029156 -0.10361 891.21 0 0
52
+ 22 0.39508 -0.30645 0.38526 -0.31871 0.00758 0.47615 -0.3716 0.29771 0.090953 0.11353 -0.0044082 0.0064594 66.178 0 0
53
+ 150 -0.015705 0.49975 0 0.5 0.08879 5.9721 0.093806 -5.9714 1.4693 0.023082 0.024552 -0.093432 826.32 0 0
54
+ 23 0.38526 -0.31871 0.37506 -0.33066 0.00765 0.4808 -0.3656 0.31225 0.096126 0.11255 -0.0042327 0.0066725 69.873 0 0
55
+ 151 0 0.5 0.015705 0.49975 0.0819 5.5072 -0.086503 -5.5065 1.3756 -0.02161 0.020249 -0.086832 760.83 0 0
56
+ 24 0.37506 -0.33066 0.36448 -0.34227 0.00788 0.50532 -0.37375 0.34009 0.14438 0.15867 -0.0036028 0.0078342 80.38 0 0
57
+ 152 0.015705 0.49975 0.031395 0.49901 0.07475 5.0689 -0.23878 -5.0633 1.318 -0.062157 0.016952 -0.080507 704.98 0 0
58
+ 25 0.36448 -0.34227 0.35355 -0.35355 0.00736 0.46087 -0.33096 0.32072 0.1371 0.14147 -0.0030451 0.0072599 75.325 0 0
59
+ 153 0.031395 0.49901 0.047054 0.49778 0.06838 4.6336 -0.36355 -4.6193 1.2106 -0.095273 0.013304 -0.074053 689.66 0 0
60
+ 26 0.35355 -0.35355 0.34227 -0.36448 0.0078 0.48717 -0.33903 0.34985 0.16839 0.16318 -0.0026802 0.0080584 84.262 0 0
61
+ 154 0.047054 0.49778 0.062667 0.49606 0.06189 4.1611 -0.45661 -4.1359 1.1702 -0.12919 0.011208 -0.066994 588.41 0 0
62
+ 27 0.34227 -0.36448 0.33066 -0.37506 0.00883 0.55085 -0.37073 0.40742 0.2174 0.19782 -0.0024084 0.0095067 95.328 0 0
63
+ 155 0.062667 0.49606 0.078217 0.49384 0.05732 3.8681 -0.54502 -3.8295 1.0609 -0.15099 0.0081032 -0.062523 541.66 0 0
64
+ 28 0.33066 -0.37506 0.31871 -0.38526 0.00929 0.59197 -0.38445 0.45013 0.2414 0.20618 -0.0022469 0.010309 116.49 0 0
65
+ 156 0.078217 0.49384 0.093691 0.49114 0.05179 3.4867 -0.59947 -3.4348 1.0084 -0.176 0.0064234 -0.056716 509.95 0 0
66
+ 29 0.31871 -0.38526 0.30645 -0.39508 0.00977 0.6226 -0.38927 0.48589 0.26231 0.21015 -0.0019942 0.010933 123.23 0 0
67
+ 157 0.093691 0.49114 0.10907 0.48796 0.04628 3.1412 -0.63699 -3.0759 0.92861 -0.19231 0.0045806 -0.051335 460.74 0 0
68
+ 30 0.30645 -0.39508 0.29389 -0.40451 0.0112 0.7067 -0.42432 0.56514 0.27774 0.20853 -0.0023024 0.012152 121.86 0 0
69
+ 158 0.10907 0.48796 0.12434 0.48429 0.04252 2.8438 -0.66387 -2.7652 0.895 -0.21487 0.0036305 -0.046809 429.2 0 0
70
+ 31 0.29389 -0.40451 0.28104 -0.41354 0.01246 0.80764 -0.4644 0.66077 0.31402 0.2207 -0.002362 0.013846 125.26 0 0
71
+ 159 0.12434 0.48429 0.1395 0.48015 0.03779 2.5516 -0.67331 -2.4612 0.82383 -0.22537 0.0023643 -0.042199 410.73 0 0
72
+ 32 0.28104 -0.41354 0.26791 -0.42216 0.01335 0.8737 -0.47968 0.73024 0.36337 0.23869 -0.001827 0.015219 161.6 0 0
73
+ 160 0.1395 0.48015 0.15451 0.47553 0.03633 2.4281 -0.71395 -2.3207 0.78601 -0.24181 0.001132 -0.040251 373.57 0 0
74
+ 33 0.26791 -0.42216 0.25452 -0.43037 0.01553 1.0247 -0.5354 0.8737 0.39475 0.2419 -0.0022093 0.017523 173.94 0 0
75
+ 161 0.15451 0.47553 0.16937 0.47044 0.03229 2.1678 -0.70218 -2.0509 0.68076 -0.23308 -0.00033649 -0.035875 341.11 0 0
76
+ 34 0.25452 -0.43037 0.24088 -0.43815 0.01705 1.1155 -0.55266 0.96892 0.41687 0.23778 -0.002133 0.018954 182.07 0 0
77
+ 162 0.16937 0.47044 0.18406 0.46489 0.0279 1.831 -0.64721 -1.7128 0.64787 -0.24481 1.0402e-05 -0.030749 279.53 0 0
78
+ 35 0.24088 -0.43815 0.227 -0.4455 0.01934 1.2865 -0.60197 1.1369 0.49936 0.2644 -0.0016117 0.022011 215.11 0 0
79
+ 163 0.18406 0.46489 0.19857 0.45888 0.02573 1.704 -0.65209 -1.5743 0.59401 -0.24605 -0.00091232 -0.028592 284.18 0 0
80
+ 36 0.227 -0.4455 0.21289 -0.45241 0.02061 1.3662 -0.60103 1.2269 0.52427 0.25684 -0.0012058 0.023305 225.9 0 0
81
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209
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